From 0b8e89c845976c14896481895c3200e664834f3a Mon Sep 17 00:00:00 2001
From: github-actions <41898282+github-actions[bot]@users.noreply.github.com>
Date: Sun, 3 Mar 2024 22:05:59 +0000
Subject: [PATCH] Built site for AMR: 2.1.1.9013@f2d245b

---
 404.html                                      |   2 +-
 LICENSE-text.html                             |   2 +-
 articles/AMR.html                             |  10 +--
 .../figure-html/unnamed-chunk-10-1.png        | Bin 43432 -> 43429 bytes
 articles/EUCAST.html                          |   2 +-
 articles/MDR.html                             |  60 ++++++-------
 articles/PCA.html                             |   2 +-
 .../figure-html/unnamed-chunk-6-1.png         | Bin 94862 -> 94603 bytes
 .../figure-html/unnamed-chunk-7-1.png         | Bin 95027 -> 94763 bytes
 articles/WHONET.html                          |   2 +-
 articles/datasets.html                        |   4 +-
 articles/index.html                           |   2 +-
 articles/other_pkg.html                       |   2 +-
 articles/resistance_predict.html              |   2 +-
 articles/welcome_to_AMR.html                  |   2 +-
 authors.html                                  |   2 +-
 extra.css                                     |  30 +++++--
 index.html                                    |   4 +-
 news/index.html                               |  18 ++--
 pkgdown.yml                                   |   4 +-
 reference/AMR-options.html                    |   2 +-
 reference/AMR.html                            |   2 +-
 reference/Rplot012.png                        | Bin 20305 -> 20223 bytes
 reference/WHOCC.html                          |   2 +-
 reference/WHONET.html                         |   2 +-
 reference/ab_from_text.html                   |   2 +-
 reference/ab_property.html                    |   2 +-
 reference/add_custom_antimicrobials.html      |   2 +-
 reference/add_custom_microorganisms.html      |   2 +-
 reference/age.html                            |  22 ++---
 reference/age_groups-1.png                    | Bin 46301 -> 46225 bytes
 reference/age_groups.html                     |   2 +-
 reference/antibiogram-2.png                   | Bin 39648 -> 39665 bytes
 reference/antibiogram.html                    |  34 +++----
 reference/antibiotic_class_selectors.html     |   2 +-
 reference/antibiotics.html                    |   2 +-
 reference/as.ab.html                          |   2 +-
 reference/as.av.html                          |   2 +-
 reference/as.disk.html                        |   2 +-
 reference/as.mic-3.png                        | Bin 53414 -> 53179 bytes
 reference/as.mic-4.png                        | Bin 51883 -> 51869 bytes
 reference/as.mic.html                         |  54 +++++------
 reference/as.mo.html                          |  26 +++---
 reference/as.sir.html                         |  62 ++++++-------
 reference/atc_online.html                     |   2 +-
 reference/av_from_text.html                   |   2 +-
 reference/av_property.html                    |   2 +-
 reference/availability.html                   |   2 +-
 reference/bug_drug_combinations.html          |   2 +-
 reference/clinical_breakpoints.html           |   2 +-
 reference/count.html                          |  42 ++++-----
 reference/custom_eucast_rules.html            |   2 +-
 reference/dosage.html                         |   2 +-
 reference/eucast_rules.html                   |   2 +-
 reference/example_isolates.html               |   2 +-
 reference/example_isolates_unclean.html       |   2 +-
 reference/first_isolate.html                  |   2 +-
 reference/g.test.html                         |   4 +-
 reference/get_episode.html                    |   2 +-
 reference/ggplot_pca-2.png                    | Bin 90569 -> 89435 bytes
 reference/ggplot_pca.html                     |   2 +-
 reference/ggplot_sir-1.png                    | Bin 31389 -> 31410 bytes
 reference/ggplot_sir-2.png                    | Bin 50151 -> 50068 bytes
 reference/ggplot_sir-3.png                    | Bin 49416 -> 49293 bytes
 reference/ggplot_sir-4.png                    | Bin 40196 -> 40116 bytes
 reference/ggplot_sir-5.png                    | Bin 52078 -> 52128 bytes
 reference/ggplot_sir-6.png                    | Bin 35035 -> 35026 bytes
 reference/ggplot_sir-7.png                    | Bin 21942 -> 21815 bytes
 reference/ggplot_sir-8.png                    | Bin 37231 -> 37238 bytes
 reference/ggplot_sir-9.png                    | Bin 49416 -> 49293 bytes
 reference/ggplot_sir.html                     |   8 +-
 reference/guess_ab_col.html                   |   2 +-
 reference/index.html                          |   2 +-
 reference/intrinsic_resistant.html            |   2 +-
 reference/italicise_taxonomy.html             |   2 +-
 reference/join.html                           |   2 +-
 reference/key_antimicrobials.html             |   2 +-
 reference/kurtosis.html                       |   2 +-
 reference/like.html                           |   2 +-
 reference/mdro.html                           |  42 ++++-----
 reference/mean_amr_distance.html              |   2 +-
 reference/microorganisms.codes.html           |   2 +-
 reference/microorganisms.groups.html          |   2 +-
 reference/microorganisms.html                 |   2 +-
 reference/mo_matching_score.html              |   2 +-
 reference/mo_property.html                    |   2 +-
 reference/mo_source.html                      |  84 +++++++++---------
 reference/pca-2.png                           | Bin 89714 -> 88574 bytes
 reference/pca.html                            |   2 +-
 reference/plot-10.png                         | Bin 27660 -> 27595 bytes
 reference/plot-11.png                         | Bin 44163 -> 43915 bytes
 reference/plot-12.png                         | Bin 60308 -> 59916 bytes
 reference/plot-13.png                         | Bin 26146 -> 26205 bytes
 reference/plot-7.png                          | Bin 26057 -> 26123 bytes
 reference/plot-8.png                          | Bin 27081 -> 27030 bytes
 reference/plot-9.png                          | Bin 30546 -> 30537 bytes
 reference/plot.html                           |   2 +-
 reference/proportion.html                     |  42 ++++-----
 reference/random.html                         |   2 +-
 reference/resistance_predict-2.png            | Bin 72663 -> 72824 bytes
 reference/resistance_predict-4.png            | Bin 71896 -> 72209 bytes
 reference/resistance_predict.html             |   2 +-
 reference/skewness.html                       |   2 +-
 reference/translate.html                      |   2 +-
 search.json                                   |   2 +-
 105 files changed, 341 insertions(+), 327 deletions(-)

diff --git a/404.html b/404.html
index dec01714..51d7e94e 100644
--- a/404.html
+++ b/404.html
@@ -37,7 +37,7 @@
     
     <a class="navbar-brand me-2" href="https://msberends.github.io/AMR/index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/LICENSE-text.html b/LICENSE-text.html
index 3ecc4a26..fa9d86eb 100644
--- a/LICENSE-text.html
+++ b/LICENSE-text.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/AMR.html b/articles/AMR.html
index 0245e872..16c94d0e 100644
--- a/articles/AMR.html
+++ b/articles/AMR.html
@@ -39,7 +39,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -205,7 +205,7 @@
 website update since they are based on randomly created values and the
 page was written in <a href="https://rmarkdown.rstudio.com/" class="external-link">R
 Markdown</a>. However, the methodology remains unchanged. This page was
-generated on 25 February 2024.</p>
+generated on 03 March 2024.</p>
 <div class="section level2">
 <h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
 </h2>
@@ -261,21 +261,21 @@ make the structure of your data generally look like this:</p>
 </tr></thead>
 <tbody>
 <tr class="odd">
-<td align="center">2024-02-25</td>
+<td align="center">2024-03-03</td>
 <td align="center">abcd</td>
 <td align="center">Escherichia coli</td>
 <td align="center">S</td>
 <td align="center">S</td>
 </tr>
 <tr class="even">
-<td align="center">2024-02-25</td>
+<td align="center">2024-03-03</td>
 <td align="center">abcd</td>
 <td align="center">Escherichia coli</td>
 <td align="center">S</td>
 <td align="center">R</td>
 </tr>
 <tr class="odd">
-<td align="center">2024-02-25</td>
+<td align="center">2024-03-03</td>
 <td align="center">efgh</td>
 <td align="center">Escherichia coli</td>
 <td align="center">R</td>
diff --git a/articles/AMR_files/figure-html/unnamed-chunk-10-1.png b/articles/AMR_files/figure-html/unnamed-chunk-10-1.png
index 7080526edb8770efe61ff9240a6971c826a2ed5a..a99e8b433f14ab79b66dc183fe43d4f9fc42f53b 100644
GIT binary patch
delta 26763
zcmcG$1yogS*EM{wJ3vZ6R7@09x-k$G5JVA>knR$YlGwILib_eTh=>S?NSC)tNQwxD
zM(IYn;hWp%QSUL{{~zNWe=vptoW0N9*S^+TbIm!|d0Dk2x@yUr%e<`nzn|OxICy_-
zdZ-3l8CSggne%pnWfnF)-KIz49{TXI5e#eA6umDU+URb#lIQ*Vb*&@r65GVK3EB~Z
z6<wKK3?*LX34R_PkJjvda#HH|*K_54G+aCXd_^B$ZL;~#*M550qh21rzfQ%TU84T`
zI4LRF+q7T)9Jliv=Of}8!=EGl&ploC?)QQJKfdR`-;(%Wzb7>%K`ToyNzJMI>D^+H
zM?CcG?0)%r|L7%cVq{dU`BB9GA?x+hP5-?a{{tVNp17-)bCo|-(7Lmbo!BKV9)AD+
zCaaurmB;+%1>ug(r~7K+W0i=g6?-1WzWzAQ6j$w8ZMOTsfw<Qv_MdmiVvDO*uhA8<
zUzl?iu&8~XYS}O~(O^B@5v2V_JzhCpJz&q7$6sDuIFRWuAR8s^b2#*Zoy%^eKWp7C
z67=}7Y@Yjk?Hk<_xpt>dpWd~5cak}kyV<#mjS|SEQE-iBDYs)VVaq0~sA&B4`RURy
z;i{hLwn9I<xhb1x&z=Pf+3dXVO8G~%s<vVGm#0%xQ<|M7`OJU!L4tlrNXR>jx(6Tc
zZVa;Dcdp>WhYxQW1`OHm{HRURZ*-p>*tK_Wmg|{w=V&=(d_NiR9MSvaan4&oGy3Y4
z-^<iT)Mh)6dbcP0`EBGiE^kk3ap&OWr3)>Sc5o1gjg4g$zxs&Zyymdpr&V)vbHzet
z88zWTHaG69XX!jG;m6E-C&y*-L0Fi)iVA~3==!+o;t*cr+B9o+e}8}F1kH?fQ4Ge)
zf3~VEn@eAOns=Mq>_p`o-H&2jXZFw$9mN4rni;l@SNr0}daL_v@9v{AXEiA-F3g{n
zlUw>k_v0Ol+Bes~eEH(4pOcdltCqBr{(#E!i^)b}v;D~yb#HH%mX?;VrEWP&|7T-U
zV_&~M=)O4bNU_SBpK$$btXezZ@ZsafB(;N$E<-uoTBBd(4(TST?Nd!)B^VD~Dz&r1
z+o>I7ILNSe_3G7>UAuPu{IK@Wrfu7N^YSEpSOkrFzr}`$yVOKa<xY39tXRkNe!XDh
z(aV<)i(ei4{!me3hp1>nv{QKg6+F31PCu3-!hTLp#$3v|I-MZuJ|}c2XN)#pJ!R+N
z!}r(FbACxNSM4kf`IuqX<(WftRz}H8Q}Y&1;sxXd4b-RT=X=uETBM3mBSam2nR$)A
zJUh8|$<n2<8fn~#*&}Q4SZ*gUv$I>jX2#C%t{oe@q7tv3kNx!WV)CBc+}vAt?${3H
zO!Bx)Sa5Vc@bL9Dnw=P+D8D>=y}R2a=CiSJsS&SM=9M1{vqKexW5V-_$|Ly8w&!bf
zLFUQ%kgU;iQ7n~0!(Ab-#h*Vu$_F35j+mikVmgJ83E?+qVC2@^cO|^!^uLyTfAaKD
zy_B|g3vHP$Pl!`bbP$usm3=G%7T>?co^QPTas6`NH1+uG;Q|)5c$ES__DE~3tR~-T
zGlJijny4LlD1?cTQASgfwd%zgjy-!`ynn81WVB~~c5*K#Cuc<;-dDdV)1J?={!w>#
z_s*dsj`9MbKKWjZyx1IK`nG$&S_-hx?Nw-BTo_s$@y5>4$B8WJ-`yh?Mk5buq<TxZ
z&1}hd(PU+eyIi+TOsFE5P1NCyej%|zV(#aOnnZ2CpddyY8=H4#)t=to>+~BdBo|BD
zKR+aIcjX4wCuY^JP9|Io#!tg&mabr;FWzwP-o0IW_Po{oxT3(9tz>$%YxTNy2W@lZ
z$|A%YgciD^{ABs=^5(nw`q~Ui$jQWQQZ+C%)J;+UTwKh_vw)ZLntgjIrcdO~PiT;T
zE?w=}?J(4QMoQ|ITwmax3x9IBW(*$Jna6xII@AQMPlbg+CJ`&yUB8?%BE~9ZZu>U9
zHT3dlW#cuHf2uDz)6EeR@Op!(sp&iGmS)qp8=hFV<W4`R$QWqJi`*uDwf%GrgJE;F
z^YnwjqY<3#GTWSqUD_W;&Z)!&<hsqi#ZB&{x-QO7j_!`MYe=`@u<I({edLJ0fMxv_
zCrRV-u%|AQgC`SIgB@Gkf+ECSI^`r>Jj;yqr$;&{PR`DiDdyC37YhTrRz(nj5j=Rk
z>*ub<bLY;P)W6%0<qG0@apP~{LN@3KP$j(E>Ql^lZCa&r7Z+yrb~7zqvV=+eDjx;U
zuO#SG$pF&d@+X!Jsg16qWw*;`TfGj^ZrSo_Z=~yox@2P?*{`*=YKYFI?>|4>TbF5X
zo@?&dU;9s2B(b4=SAADmsEn;G54K8asl1-PzG>at-Jt@Owy|sKb?e`mE?c(j4Po$^
zR$n5ksoXkme#Lv-)6~z88%G<5aJtXs<ppLbBPECOz9btfw#|M2=cbp1&v4}8+}+}U
z1Ecwj+LuurECfO;mwfb}A_g<Mx+|krV(qi1J43@n?2FaxkXF9ER9afpGdfUv<!!nz
zyJSRH(2AU^<E?ku-M5R2vxO36(#V}yDqZaHv7wecDf2L4y8<DHcTxM+pA?tb7jE3M
zzbZztu%yK6_FBfRk}ODA*mngc(fTRs%o46shWBC)|E>6%g_({+<&uljire?<j@O$f
zR%ScfA$hD`zupj~$aQYGaBjLQ@^<;?xATfL_rr)VO`YR{J9b=e%5q%#6F1Aq9Gb89
zBS_o*sdk?GvXv|Kc|v|pOuVpZE9h^`sA5WU7^rup<|0293}dyN`jZM*tzP|)0nd-N
zwi9gyK6N=Rf|hvPJic=CQ*C|-wc6lAX{R6VVJ?g$7K9IF|6C&2czLN&GPAX{H69#s
zLRonW%F{C2`dbGtzJ2~>e94j}LatMX5$+s^4{v(-`Br2kyW7mz50q>g+gJbS>*-C+
z^d*KI)?E^CKvkf|;_LI(c&0p^c7bmk^FQ6A^Jz<KzUqad_2s1!2a49=5P9rPr6j$R
zB3HWKk93sCeG}o>zyGt4gK`(60nt?+F0E)_tbNi_O0CxJ)>r4ih<C)IyR<ix?wkc`
z!ec?}a>Rzox0jpmpJ!XlTbv(yo8RvJ7e-MtkfPsMw@74O>3PsK{^^qx14_#M9VcF@
z#BW75Z^N!o=t>{2(J;ljP!jVNGOLcPW#nFFD-dW-B@(p!ZO%kWgoj#Xe(uR&vCghM
zwXLwApi?*~Fc67Fl+s-lvyn^v-DQ!x$WUt;4({XeZQLUt{GKbVv2{#SU43gqs^wB!
z&g`{jj>x>h!geo|a^{*{hUhap$9k$_m17@N*<~EKJe1zHLByfI`--NMlhCna$0&1S
zRf@M0h^|tk(Tf?jyYD|_a+v%2p~`krC*kbV<4^V3#QoRKaLVgeY?d9mc(oXnU~MDc
zx5C20sf$ZT=0=_#{2R+V`OIs)Q79igeq1~;&@i31I4gN|tlK}v)4tG`4He+-dKLkp
z@HXtrjrY%U%}}+84&k7H0K;9xix~Nk8$m&;{ztSPZ_0bb@x#qDvZ1lM{$$Gbm#T@|
z+}+(z7PS8Sesd#(6Zd4MpX7qm)6r!sR%|_8mY$w|ydm%kHqm>#47#d~;$vs8x5@9J
zTfdc$Vp|`$MRm}HMbbUH%2QXdC})2M%B`&7`h9c4$9u%(6q!Y?m^|$Y<tNOISP5jj
zXf}nXkNyJF6B)K0>3s=VPBT3*7qc9=P;=)H9Ad+t=n8^ohw>uZ+uL2K4n1FQU%N)3
z1afOV?rJ0!XSKOC(<$Gtj0zgF(q}EV+2xy@oIINC-urETTe?x%<J;wULf#I`6R<VZ
zuXoud_H`3VT1+xa*pLfy-rIDP1ReSr7B#}~#I~dOc0$*w!N6U|uC{(!-Ii|El$oE~
zd;x&)h%Yhq<L>c7AX0{`riiY-A9vXuOv67!a6D>G9@`?LICLYp%*c$Iu>L*vntJc>
zmaTFj3EaO?zbfCu&r;zc_QAZyzDd`02nUDMO5YuV?Ck7Oia+BLb06=m6t?eG-fkR~
z`u)335S4p%R@0@|!}-YT#g?ia3fmY9s;6Y*IGIOsW1=$@20aJEMI9OHWZTXq<eGlJ
zUO}O3r<|5LrW_OD>YINtZC}EI?fU@ZvyUrch5og^LG20LWjU*LtO!4enSJ-GI(O{Z
zv!bX@t-Mlkvd%b?t7-dn7OV7sgcjx}Th_9fr!@#){(eoSrcCR)YkzIh&cd!it%0GT
zA%7-Wxxq_~l8bY8vGMu>p*@I|`^o!_P7BIk3ECTJI4E^lX?5qVTg!r4z5M(Rjb)b^
zwH5huP`<soP!cUH=SBO4_`NQz4*(k5gt)lMdV)DGydpswrP--%J%z*v6sxR()Fpxn
zqtCy5Ioswm+?s#eSKPM!)b+`8ni&luTT(J~rKMMxQxlexfOT8k6E3cdp@D(47H)?C
zXB%%e(Hfy`fJ4m8%+aYT$Hb-&+F8GFGPNFSEGNQ*A0|dRALF*Pv5QSl7itr7bh-cb
zvf<+A-+h_?fjdz?D~^tKmaS!-1aPH!V^+;cOGkIl+k4qU^Yb_Fmakax^~D($ippy>
zC7naMp=AZQMe$Utqem%7KTCB=0=X<&a&z7%Rftc9Rc2j9McU@|^xf3V%-1w)LYtze
zr{@H?C~FyyEw!~`2&kvgo~jil;g<QW#;)LD#Ymur)e+yQXV1dQb<-M<?Yv8d%OWKs
z(RYZ7BZ>pMD(sa)odX5_-J1Z;w)zM*>mdG7t{(XN>nf+!4>+7Ve|~x}YbYJXK17np
zwIQ08ZWKHFJq$JDM*)lVvL}EX&!0cnNm4`Fl<8@f=gxT8f%K<?H4l>{wiWg0x^;iq
zQJ-dAf#fKbIrz@B%DZg?o5*4FnuFyL;%nQpBZr5F*KOtVK#xEp?3R3Y16yw;ldM-8
z<7$ec*zmHOE7rGud3r)R(g<yaEFrrl%VD6^UuN48f$)Re4?lnEt&RiwrSvyt1tBNj
z>xyvkWp|&t{_Wd0F+#fP>sPWkp}lb(`MlSvxuZpF{NTrrAAKUKqGbGx0NkZ7IHI86
z-N@dF9Bham<a;KfcplWwZFGu6I>1Jz;AVAOa@{D%UBtaNZ{FxNXBhAQSDVz3<#?z<
zY;+wS9|s@b7J?uE0rxyyom?k>_UtAujZ}mAnehUC4r%Wv?(;Lt%S{DBL&ThUC@VK^
zTlT#tCbED^O}k>fCkUz74iB9ooO25aSQ;?x2#TSL%lSNaH;4Y(W4Lp|r217rVNDJ&
zKl5RoYs2&B6~#~9UPJFa$$Rjiw_!;jbC=}Q_oX*(+z?B3H_b#9a~>@d^cf1`(vZeQ
zV5JJ?m#<to>PO7oJn6-dk)mQ^vTt^BD8_Yq<fuXlDs`U1!#!tKty%NILZGdq<940J
z9<)JM$9s>Me%-~bNu*!P*V9F@mtK<f9BYXl&lyd&&n(kn9m>MOLa_WES65fE60itb
zJy(pB;4}MH6kUrBLJ<wZ(v=&Yqj@Zd?34D{%A7;Z$<Cfasc3XwEA}r=#HJ3gz!^#2
zi&fC+=XbFd$?5io(ew|_?|FESsF0ZTMslSWdV!@RTTLW%zl0ov&kw}hyu*h_M)b&z
zVJlxzlzC9<YPvmdT&HbuMY3-3Gvj>^gM-y{yl9PCX4Y>L3x2p)(H8IGvTKE+c!_bO
zTa8K25BVT&Ewx-%Vbn41e17*iC!_MPi{J4iN|FH?ta6EIqoB?MXZ{V~$|EH!NNCj+
z?#Lu`dHb1Af!(`yElaNR1`tBuzK-eewcT=o_tAA57(B03cybuk96M=sk*W55m-A^Q
z`BZ9<eP2zIeV@wJ$-y(&F?jPUC{=hqn^{=A^78TuspGh@n%5Uu31Qn?_vrS1eP?<;
zJ3D*Ts#Q-;+})5pKhXdH>v?_Y%B!veB~OXP1%T2!I36*%kyACn8&Cx3>ji?91iP$~
z?qToWA5EjKS+}k|XR^7izb=_<x@6eh9(j0>%)!r*kyd08-Kn2HTv5Hk#GD`C9yYPE
z68+b+N`J%}_q4TrMEX%nHd>F?bO*Kwp2O9N{?mYm+HT|Y&CSi+g@))Xdt+m2^9V^Y
zk}t%m<O3FWmW7TYb=<#y|0n=xQ;wV8<@to)lvn#>I`pk^D)HFo7m@^y9gvllzLR9r
z032r>lxSW<ybh^sN!w?gJ8cvZxTzf54Jh#_a>g3gWGtXx{v!=UA#!bLm1y0Cgap$h
zHBI06m$U2EuC;Scz+>cfow|HyBm3Z2Cr88qug?2xVq8Z&<DOS+ZgdIUV3ZsJ7N9at
zHE~Iy>+C>U{^Mj|;nEP^yTW#zkAxDw5--;L;qHdhkz4PFho3>_M#sa|cUkJW_sc(&
zl9bq<0|&gY9mvSp9%KCO0GFs#d;RmjC$K@!)&{%_uBg3k%DOS##*it%;}QSgy!>3b
zG+dM##q!}^QMC-o8WR6uf`*xpTd+!MX;y3`#=3ZyW2d3K_#e*klV!3|8M$G=E*0^|
zA+^>HOuXF?Rr{CSK_UHrKt%qx{(_183%)l0zab)<4cV^!<}fucfyWCiQ>oE?<N=6z
z@$UAW`A_~(oJIBpM#+SKSeRyw?v~Ixix+zNp13`aEjKk*cO!fQ`}-{v^Ow92wa)FS
zoc_I`o>O{Eox)EY?AxdLfK3Ht;U<6D%Li!0?K<UOtHj0V(fqxU49#qXU9@k^OfTO3
z@nDqh5+$W&Q%0`|-SPjjZ}?|FL2q^8Xe64&^ESV)+QXxWzaW0umCKjk#I*h<G&gVd
zH}_V*{P#8ggV@#J67uY8%&>c{p5lpS?qNg(nRvVFlJ_DR<b>(|J+#R1yULP!tF+{+
z<7NZ}(b?Uc<8obJ(7IVZ&8i9XW`X$umDf70pYC~Y<@W?`))R=^uJL;Tq}tVgs1!^B
z?Xsf)M4?NRI(d>_Xb_wulFV+!5#hAS79tYAZyCJx8(raFRi-q~Cs9#RK5f6!trb#1
z!EihA`Jr>WzYN|qd!{$e_2)k;De~bW0mc!|cK|;fk8>u0r}<f<VNEY$G&9!I=+I!f
zJVMfC;-GoWYh9#CP@Lzp94rTOXRQV^`?!(A#Ms{cxz!^2viN0V;Elc8K-UVfAzv2>
zwzw{R|57O`n8(o5#)|my;dU4p%|m%}wAT*hPTe?mb43Q-xqEd34sVl_y;#rR2g)Jo
z3H15H^@@`7pU6Lq+OEe840eHQ+vcVEcVT3^RF;Sc2-FDW_PhuU^Q}v@47Hg{B<2rP
z2m@FESNSX(LuY-_Xtl}Ry%A0~Kt>X2YSia1UX09*R_G_!k-Z)k^&>Jk*sQ~r^?bhD
z#EUhobMi+kB(-Ig{_^^o&W*h^ZtX>z+l01nf8P^a7Am-O6EYo;{YZGCYGQ=V+{cZQ
z>2$s_j|@0Ik+c<dbA761382sL=;%iS9;Ikm`WK2sq%U%LWo0E&^4l#te}m4=ss;uI
z0AX*`4wA%Y4-*(+v_$xJ9h=Cz_Zg{HO`f0$d_@O~MrS-WbKn;TwKBi;*k8PO5!<0M
z%hCGyi4((<lY4<8Kv&%d;WdiBiP4$8t0L0)^Ml=E0}VldT14B>kRm!#GM|e&4jvpk
zKexd;XFPED606YVCq=^vvf%Q-5tD#UJ;m$?UX4WF)08EM7P=kVeVay~x=vcdX<6A;
ztdTLmEr@4kulx__9JFhmI(s9S8zo=vdHA^}7#-@8FR|zM#^{5<F=kx^Iw1yco!`^%
zAR6g5!A!x@mpDpbJzu_TPSP(l^Z^_9pRa|^t}YoMN9@!7mb{jp;HfDm^m^B-%{r<S
zCAkiVWPt~Kt#UxzWukQSDgdBL9KT|y%3UxwblbKm3^nK6^Yq*aDh=FXYg-%g=X!_+
z&y325$E*^r>F-_C-Wsglv112T_fd76>O<5rG!!zvth!+9-dQ#T*2HVzhiAXDg3Kx^
zI)%3aXNS;a5K0w-njj6xMhYWpsTRzIe(ZZWIBq_Fz6&Y>ld$bBoHu)<_yCAkzt_$w
z8hP&GsGQNp6%nP8l0+nEf1Ur(l6_yqkaykzAK3KwpE<3lxcA7B&DV&zHg<)sqVPxM
zrKMN)hVj@;^k3w@l)dWccyD#MuW9uwdP)nl2175o--|V3w`G%6{kzXS)8Lyaj|D7c
z)z#In-)mHqm|j-2Kl94%CaW0zLSGU!+#%MpyoD-4u4S3gN3#@L^vbylGv?r5l)mpB
zi*y+jzO#W%7HS09C<5T_;^0_{%?R)ZZl5LDxS|s~T5P0<V|f8B3rh()K$7J{-9-{=
zDY6du1_WIA<k-!k(ozG+D4z-nwoV3xhnL}nh))&*&{Kb;{j>D3uJQ81!n-653Q7>Y
zMFBYPVv${bc5y4O;K_TxY6i6f&ep$c4&h|Mnr2e@p@%ht@Y=FvOS^*5wj`T2>D-y#
z0}E4a8;>79jvPexGJGaq-kUC;ge*dNshPoZ>Cz>IE@Ws<3i_f0R|Z}auU{__JpQiE
zV!29)b|SZ%WJ17XmwJZZ1D+6hYNN~ddoG#vEf39yyDn5zPut}%4ED%ou2d|r-QA>m
zTF6C!+A1Dk;A{RlV1ieTmij^5sXk>SLUZlp_XP8SA>DL=!DF5k{)aDt-a*SUU7o0s
zw&5Byo=~uONyZi1X2yt~hsLGYM;?BDE4T05`61e#nC@WQz$ye-zC%RhF<@O=SX!DO
ziT3c!uJqSd_KYJ?+sCQeE58HXmkW~1_U6rDX}@h{;D|21H8_1eDSLJ>i$ZR?*Ozi0
zFJH^>#;}AT)4s3sYmR0w>gf@^hPQ@txzDpd69&)DMazP%jzF_Aij)OhtNAP?fnO`j
zAsP*J!KAAGU5{t!0oMi_Gm`zUT>=?{>nO8p9uD1pt-(64iF^iG=aP-iIDQ!RKohpL
zaIa!SJCdzML#hviDjw$%gM$om5ySiU?|<KN+Q^tSpcTTIfw3`T@XG}PBxQ)WOKO!J
z7()YW>HN%~X9ibY&R>yvazHg&Hefq-@gSrV8o3Ymc)W|;=sA_2Jcx|cuv2q$En3_W
z87G4l?;mhtxyNs>nc5T1`O%}1k(Ty&^wBQ25iR=^Nh%Z{o#OFH<5Q<rx$mubq$@SJ
zcEg4j=gww4TgmXjj7ZX~uHXm0f0&p!>;_56J!aw8Iks$(ioUPoSJqWtxTYlFz}>Vo
zjm5Y?83s-t(Oz~~MaS7&l<-+m1kGzcdhot&(gUSt+D2s+?6E=kp_sBCFj^xP+F
zb2l<FvZ10{C07gwJ^;P`vv{0!er|5nhKa_Oc*5`>j*9WIdvP-vGqba8ZlCSeuU@?$
zH__GC*EeAo5ciNn7nI8pu=pc$X@vj{4g>0g;1bo-tk$=`JC)8y!^Xn0_9&pn$dy(5
zy!8*I0LDWc%=%!J#_RM`hw?%`<ebif`W?8`!fh_4JsHreNKOSU?Lb2s5d+k9Q0>jN
zqM{<&-A@J_L{HpVM`KG{pP+n8(5f;0y&axO8_5@fMMNnI6l`|7Io?Mdg{J!x+5q!t
z!+-<in+nL7wcwuX>gwKEH9aOf4}hAkxSeTr7E|+!VRFZ`n9wK`0wAlUm|e)N;ml|g
zahu^IkfDu{_rWbhfJOKTeStyknoEvd+;W*g_FQ7VPn%WD>C4mtQ1SON!IovVwAC3d
z;$4BWX>1vSyRsWWS2OV%tpi1{gRCLgvWDpHpqc$+QZSev*~q&1W~^*{<4?H`1tHPC
zMULNyC`bk<-)AeqzhpZ%H+Mw_NUE=2zjmXrNk~Y%GpClDvUj7?r<6}FJ>bD1=<xmh
zb-k{;$V)~R3RB?j>HF&CENkD;fbM~o`g43d+Ih6|(IM>!1P<WJ@Y-2G2Q%fHek_9J
z@wMNFw$;l8aYuuMER7Hkg~|-|z^9xhga`>iO#2TuWhJ}MUw!cKA(U!eXfI@W21)53
z7#L`6B~#IN1Mz}G!YAe(KBXW*f?q7Vv3%_*dHG%Z`~f7sKot@xWAhAM-Hpb$Dq4<l
zdl!wgl+<Okv0sz)WvtL)wOtpP6}ow1@a+f`C14W`t2|=f0lfKf1ksVuGIU?q*rqMH
z;wVbXY_C#w@7~>!QLYrCtQHy8Xvx2(_s3G<fXE*|ekkNY>@F%U9_bD`Ao}dmXYQQ4
z=075U*v2&vW!&xW?~hxE7}E@wq{huN+FnhVCM3o+#b>=O1wv)?GwLIKq8xROwP^c@
z4L@vErXwmBYm5xF$|6r^EC|sS`bxe1i2j>`YO$2EQS2uL<nQ#zvHXF>b;8wO?~mS_
zJ)&R0H2WfBCpgP%$ZDDMJvU9OUeGYne>F<3JH?u)mh`N4)D2X?QH6*v4<ntJA!u!s
zoI4B+tky!H-yzHYE`)WyhBWIK*#ORdqAt0x_T3=?0d&Y2w}XS3R%~GHPExaF5p_67
zD$H2jPe#dj6a`pu3Q0-(^g2z4HbnMmrkK$qoo5XnxdF)EB`j%F8oZ>z`e?Jybiy|t
zL{6L?noc@8x{p6T-i<vM?P*g!eAB*1TPh<uCT6Md=iVFj)|4@#yYeQ)K_PL}#ev~w
zA)30nEv#h$L+Ij{-M#gFbg_XSl$_?c=*t(+pI;VGoxS&9RZ(%~tH?eSj(tOI`tP!^
zYce<m_my$&-hDecWYDtnyLC$DBBKMd?CH}_U3D_ddoy0VcwsBhkdtRO$HQwgv^Uox
z`uX!sOj|5m*AV;o`Kt$f<cjNo5{1ntHJ{Z~R2<Tt<yMW3j&>ene=A{XnoezxwZON!
z3Ua*lRsg4$0o-|fi^ajIk_a_kIJ@fW<$)7<sxOdV<b%Yhqg@q2Hp+t;PQ%X{D#pzg
zoy&@f-n;*}G3-C##druxg?fQf#$I0Ds(B)kx|T7aH<F5<>xmN0Q-YU`j9yee7%}U(
z*L5`(SkdK*#C~x=>sE+<2Ed>4Aw2m`^H2tt**=J+I5yccQlO0TtMed@G#B0EN73)#
zKXLr{FAfJ!5kSBY^-DQU#RrAakL2YL7PJfuon!Tp?!?UM%aV?Pz<l!Z>#kqF?mS`-
z62=h1hCGBJkcaefl9?Q-A4Z7Xl^J%%3|#7u4h5n=U|QWWlsoH-r_9o|RnSTvM<Y9O
zAO&@RJpGoS)evO^)6gb*dc!Rt$nK*>9Der$0`lAZB+I9U+sO7rhMHZUL0q6&FPuZm
zHn9KIg*c<^OJD~{{|Udj%2R5hdP=d7RqdOnSw9{<Mk7LhEpMT?q2X)gAza@1<qH$k
z;o;i=<^g(tdcD>)G8=j!mKGdJK{}6gpV<%f`pDJgqO_HL)I`AqaZve3ko|@yX2Ex?
zbD1Ot`8i|gXla8b2?-!ApyJ1Xl1%jZ8N%-VT~;k4$h}NOvD?eFc3q57V0)#SsDN^m
zo4V_y%_o&4z5FGGY6k;dwb9twJsnlRqcPn%2V}D133w~#2NfG&7~$j0WXn7I^Ese%
z4BLin?o+yyRO=S2Em5)?(&&gU_p272KHORjag^P_$mjvqi0tx6X1d*4exkqbW|I|4
zA7d8HYzOJ_xaP`k2i5ZkXXwJ*sA3Ei*^}|T$)!WTbGzZ*!-v0|;$8%{I9eXla2~a@
z-<j+nfcfD`N*R6}Whny!Sni#J7Xw!<@z!uHWJvwV!6uS<yE53wTy)w4?YNls^7yu@
z<3SA440oYiq);y{)q#lXTpl97C&IatnF1Th`Pa^DIq_>}rLIR!+72c@lNeCN8pR}v
z(zZ`FyI5bRiZoZia6_LdeOgF8R<oE&rFL^&Qj59O=PyJ1C1ZMOY70?s)N1zV(IbOh
z{t%%<yTU#jJi~TA+H7WZ7s1q)X0SL_C@Cv^?l*5?b31C|7&?;cd9w#0w;!oUCtJMs
zb_0b7vDG@eqS#KCKUlM7%`<RS-YkN?=uPcr#!RDlGT}yWp7?orR|(sZz)yhMrxX-k
z$OaIc-{MpcwK&Thcl+nYa>RDJSR%IjgB;)1^I1(+@A~)29*gfU4-;OxrFo=4$p>n%
zX;2O4hQdQj!=P&~Pw&<6bbee&_eC`dftF-axfA_Jnpn;OULGE}Uj!T&Eo)wf46ocT
zC=)%2*t?kPno&s|gF2cG9oxW=FtowzyL#CEc<Kzhpi!(?;NExToq77Zldn1Uv(nL>
zxOz2H>3ZKwhw(?q+DRya+xLEc?DFsf_A8Ar{ny<Cc@nVPY>)Z!75w}AKqj<mSb+@k
zW<XS@e;aMNIJ?GpP4BDkr??Re<wCELyc*tq3LwfZtd-*y<%~>h=iX@e!>qZgSpUB*
zDImqg>-xPl@g-<(hsHDk5EFA}I7t~DTA?wJhI9Gd+qZ}NlPj+B8U21f`-NqeIKzAJ
zJUTiFVi6)$|J|d@mv=qSLw{nGJuJO_ucGqS(*?gIHU&9Cj@Oq>{4uuc#%8z4rX_aD
z%Si_f6qkZY74sh~uRyzpqd=tdIigcX`s09K0BD0bUJSB|Gik!wapH~;TiZ)B>-u-G
z!|H>#9MA$cH&0hR^Id4Zeb39wuHHq2m-ive8Wj4cms;O~^Mbbt9Oz{zPXvkHQP0z%
zwFCo;7dnP>CBUrLOf0&AT2+veT1G=d15p!{0?7EaXl1e|>dhfwF$l?gyt959ls_me
zQS>MU76RzE%Y%>TlR|i9_NCuFX)$`B4sVH%?8Mv=xGj#<+qN?RVyme!9Z)3_44|%2
z#Kyjyh^DPtn4k4&Ln7Q-2+rWtcE!hh_W-HrMHJDHv%8J?59dUQ_gkhl-6=CFsiNhW
z4C0VsWMd1DS(0@a2dMQyzT7P$QXkzXTdd@t>olyV5GLe5G>1}&OWH$0zga?Oj9a>Y
z{`6pfX5-MsW5gxb;e4?HC05quv5w8o#z}%P*)>{$%f{f0Aq{V&vV_~5gI^2&pJeoz
zFb2q>;}4rq%nf^`9D6+RQjUkWw*gR;>qMP#X{ewdAPT5MrFJ9F`{!#G;YNCku#lMT
z=Or~wATHao@lU_W9wLJQ&J*@)F_G?D_oXM=!L=ylJhBVR{Jv#C)RO~kASryf%{nNM
z)Er%I-olL6%a{8&GU^kx^IQXJ*+i~<|GYPHne7BK6n8QFI!>v~0#Ha^-T-A9ezeZ%
zTe%#Apv{uLu&RRCOj_Oc*04k~Hw|ZGCX$+L3faUU%CJHtRg7yu9kzwYr_b@}!7KF2
zH&<?4@dQ%Tr~G{8)8nv_gdq0-jP}&08~_${PGCEtw~T_mVTXjowj$@2*49?<KF_ys
zajaOs^;7Kmm}_ChUFecVVeMIZSifLh+Tf77a_{PHoOtB@(v5@;n776ZUI63{a8zCR
zLq=93n1iF`8v_p*4*pK;J0rfI+9i6GQPA}3r)ZnqJ&UfxttWxGjzKU;hqn#NBdjnG
z`Clr>(!v_K2iTaDC;nN<E)=ehLV`!LF}bc30zj-*mH>m-a`;<<h#<zNPoH|T3O_&_
z4b@PbLUIUEZ)dKr+_sOW9BWSzwiE(vESVHUg6XV?B+Y6_b<vQlrlzNvC%aKw(8NsR
z1_4CZ!=plIMa-T91d0LGgH2PFZle!w^l)g|w|I>pP?~g`H|tt3gf!48iX9^m(uh%x
zg9l5UT1X(FqqBW+u1nHObCy(av8x)L+I&bQ&drS(iWCK8DGxN+eKk3n>6dpX9vTG0
zy5tRjidZ56Sv3Fgr0h8?FL@41>0^E`6ae1K-;a_^5L%0#mOM#P(izHIl%Sk{A-|s(
zxJ-uW>8C%Q|8@`j3fpVhtGi%H+e}N_dL>LhO8gq);e4*^v|b|QX~$t?L|)WLQsY7x
zqicd&r<a;oLBbnk`8sfr*ST0>2=No2U?S$n8NnDn2kRw$pcd<l#8QrJG>xDlR<B*V
z^ss=y6_pDEqzHo2{sYCqS^dVAe7I(z^P?}CMltVcNIQhJ`iLZh+yPUiGklJav)Ivj
zI_CDaxBeU*C9C-Bi^+GmwKBoSdO)*7mrJ@1=kRb8hN@dyBDLM8Z$kxAijrQBXJS%M
zyxR}=nE*&wV79EH6wrR30eOnvUtbFQ4lRS%ZI{7}yRcb|3=xZ2Qj=usme@ETzUJz@
zSzFDXTQLgZ#Z|0LA@JBxe&RA2g*u^U>w*fkXiTpR|FyWk7F1Iu*VQ@bmFs~Eui9<-
zf41g(jap1~=@2|2t2S=jD<&3(2K{wyQYQl|Ybi)w??Bqy&I{9BUMZ$e>n!#N3uk;v
z3P6Vmiu{PlmnXDZ1o-Emf{-#J$hjwxgFN{OWZ7U5d(QJQ3T2K~W8IbB+r%@Agb_b#
znO97cYPe46=;$PImL*C<_MpC0x(O5CLn1s}>pPQI{*tpMfz38Ketv$UKmJho9!2z@
zAclZF0qqlww^nfUTSlrH6v(X(kIT{;2INBp)?Wh#%cArBdzj|2M%kn6pcoN8Ol3KH
z<%7YfN=F<ay|`cpsh3=Qe*V1t0!zn8XuJM{o)seBbBJ})L&oF((xNgPz&%Zjj<%us
zZwIO+;|H+yY|d4C5FJL|8PGp*6B{AIl4fb7II@|xL-WTAna+J-+88bEG#;EB91)GV
zJAT*b&6_iL(o<GHJ&|*j7@q?03=y>62K_P$w+SOOY4$t!^!Rf1cP9TJgVkm`^J=78
z`~boBA1`wT`UtWXLV}1`^>;GhQ<P>CtJ28msU=(ALmGu#3x0zgX;6yPQC){Y#U0cs
zy1xUVg2q)Ea*tTbbK+mC_D`ePKR-&(2sV8}KToQG(2m!!2zaCExD4d0cxd;ZT)0#9
zu;1P%Y=e1=?y#dUgJ?!XM1eHOhE+-}zUHg?xnH~P*Ix<SqXVz4Sha4Q!NT11r%#{G
zV)KI;`T!T(2Ldgu#^VytKbKKN|6YH!3G5lLuEUdyyzd_z>``X4^a)VM99VliaUT#S
z;GoJtew;dUX8ha8-|MoyZ6iu!nOsM@T3(`ll597U6Q5OMFzh?vW&saYK&XHdVidZ|
zD1n4u1uH*%d-4IC7p7p0OKKR1NN4=lv$}y@kXmQa2<NL9vNKvvhHC%`=fEXV;AtW4
zh-4cG`iX+Ly9wf(WaWW^09Ky@f5QWl>3rZ{*SLGwp{q4oF6gaI8zBuzy%c9NLGH!_
zrJx6S3wHqaWFhtvd@>S92SOCs72rL-+~PJlOcrz?I{+eQSn8QzbDMSi^JGpIC)lj*
z+AGi5cUV(TF!V@({idDgED&(e%UG@f%v9#Oxo}LcgT6z)qbT7xxa>RZm7g6+0`h=r
zLOUp0(v4$)o@nsaAId6US3rMqB$qSyaLD11M>iNU>ai%kUS3O|po%Z|C9~*vM96Yq
zQ;63nh4NuS|H?k?TVJ?+l1h-UO8HJ^8*Xl2vP@yIJ`z2_5GyE1^%uG|asN`%(wTol
zdCN!VP@fi_cu2Eyy|Xi!s;BqwH2eTrPv1|x0DW!`Xc{FYB@peDWZ|yFB_PB=c95x>
zwENtet^BjE3O_xMu9{4fEEZW8v`gw%R!|YGKhKYv3St0qpxQf=&E)>YMj@@tnA$+)
zkX)GJP%$sJ{zBFjP={i)Z~kmj4^6hlnf4pt#<LuUjEW!a$6@{u?=372!v9iemZAq&
z4rVxT(vNycPMm+xIU;{e`uykR(5S#tJO8*%Fit_NIxR2%$tvwUR5`1R4u<TU@gJ-H
z>_7iL|H8K);ejB>B*;GzkN+K8di7$;e?#qm%=r8(oBdxZ>%{M4|JQRxMfN)&!+7Q2
zfCdPbNTCq47HE>Yu=0R4TV9?5>jZ`=92;$9BB(OnOxN)XWGjWllH%f>oSdGZX6d$W
z^~7|AuCA^a0nZMksK^##F{fx&h*%Jl3q1G~y`pmBB{rC!FuLK~dT(!ShTUF=tehg@
z=Bs^NZ8<_f6#i{m0ieb3*35h+n^MfGKcKuKkiMe!GjMAb0d$L{)}(xg|A+LWpi5yI
zQUzE5n%0M#-jFRq#wp02p!|u;pqnVzFp%n?dxFpx2}-z~g^r!Q0_m7SCWdK59vl|a
z1tj+xS1pT>8qJOf2)JEsmT#2YkwtoL$(bB5tX&$s5)u)R6)2YhX3@j-jcp4&c<}>r
zIIQL6qci>-GD5cPt47T`%c1~pNz{NC5Dx!nl)Ral`ChfzavhLHz>0-EwXLMG2iyk2
zinpQ<bQ@IG&Ghv7u=<gHDY8r>;%r>X;_9Gmf$EdZrM5w6%yv2gH2nhYJWjvDdgx)E
zDLsL%R9Kvyjcxr=z%jIX=;!|FNhjsGYl!5GcM1Oz=>G5Zx$AZPVuq7I$w#hqp9S^m
zjCllMr=Q!w$YDG1@bXT>0EvE10N|K3*zG?Yi2jd**@_SdCEZvgGbcBxbf0wCp|1Of
zgnWjSchAR%fAEl~XebI-vSot+%2WZuWEvfAqxz7#4o?Uvl9L=4a^m)1vq}YcIBJl%
z00CcXr1`2|a*lp|!XD<%-;dR{>GCdb)dbC+u{oTMLO7w_r>TXhKlccD7Y=j{u#Bt<
zs+q@h7q%4zhzkjvR5`%zlm2m7<}z#zVV^GgaC`0QjT<W*=gY%Io#)4?G^81wyqj29
z)R4PKl<exdYVBHmfFF!}{j&b(J5M$_(l}w<feD>T9Z^?@o;g2y_HyTMEo?11%gvCd
z1qLfD1kT5v+f5oANtXe#3H<UW?oqQ;lwT>|Ln$LISlHrsFtLS#0GHIv#6Ss<F%5~k
zP}K}sEkFM?6Yiw0m-#RSZw46Lc46bR2Dq6CE(GSvc#X6bI%Lz(>EYwE{0RW*)a-25
zyFu(qiU|@ph{$};y1ydMaVVB++1NL2dXL20Ii`8_st751080UEW0++hWhV!R7ybFc
z+B@r*m$dJCrxm*j7NjG9zm8WE0IYyHuxN!tdBkElE-3aw90L{_9%Ye=OcI(vu$2T=
zw@XMU7%=!P%qcMgisX33Xy$hG=SZSV_gZeW&Omu2w;GtA-TU@=fT<s8a%`b@Zpp6(
zIm$5s>A=Z#q2%P>naB()OnQ*h02FkFBVlsHsZ-mzxO|X=5FsaEf+Pcb)UvnhC4<Ae
z(aR@+VJX-K*Q%D8>i%y9mrwWfDjdhUm7=z~!gghqzk-<jaw+r5eo|FL-v_OmHLluh
zEC(X`bAl97hnmA7V?Bh6PgZsf1{j_p-;u*d@7}$0wbO`Ki5g1b1)6|p9}_Ah(y9)B
z0LE*KK#-AkTKMcS<Dvj-FKNeY%3W-<T@+ruYSqu~#-NA)+W1=VpdYdn{b7>!qc-d(
z`pNC+ND1r(u{O_!MP}Pq(KO)fJ_8V;SHCh{5AlJ5OeJ^flt&3wm=^{VO4RXs3jvmU
zZFn?WTyoL0ZMz0wLdVM5uVRtmvrYUlMp=R(jpIcQS>b4Vn7Tl%Dga0!!ZyOC0ADp`
zZ!$UpH9YR!(}j*jZ1dWk27kp@>|~Na#gUkrfe1(;DTw-)zLU4eX%yj#9GFPAg-+U@
z|LcKEIN<wf7~6j&djY|^MEJAvwXDI+wb#&WZ`Fr$()wK$T9fM~=67!0`dKbIL^<p@
zs0o-9dnrc*?5kegTSIB$b~3Nz{1_dD9IJ2^H>Rbf#g&nsLsCz6g1`7F1<ZSs>A1Bn
zYf?u<1)YfFVCl1yUN6r@uK~y7G>>{B{b4d|C^rfLiR=Jl>q%gD=sW)ab>lhNVk`I+
zEEDF^1e5*}90uIGsASum+c$TX5uq#JgMSx)tAH2+;k`ts^4ZC4A<3`*HBdnffONg&
z^3U(b$dQ8fu`LVOqo$a30Um$fa<9A5?a4+~A)QjC#?)2%1>U-Fm`E=X120ETmYICn
zZdUX9G)Bpkl)^O3%sB5Sn}&-@EKKQdkGWA>LX?y^<si|cyoO^dxLTg}Z1sqT4!hjf
zX6#b=ygjxQqsY*s{pUw^MX<5DJprCkgqSoMPAXeUl><|^Z|prOEv+Zer5Fn-_ag=V
z@^CQ4X*EUV<u6nd$pIxEt41NrShdx-8lL%AC?;TbgV_4H13cX3Ye0P<@{!N|j+9qa
z_`$=Qgs5-hmuc_?IUHy*fUbjd4v=XBK-d{++o!B^!#1%~$On)wG$PDd2N)NSfobDc
z3(w!ub{XKOVBG>q3cEGLID$q8ta1KhYGuO=V9I}QFMtRLxX_(#-}}vGCX?fsJGul0
zr}(z{#x!f~r{<4tMFkW`gX!>TZVgJc*uMdI5{-Brrr`kPbql<icSrQe{%cTL(-A9#
zMrzGmlW_(j+qpm-cm}>SyOH+O6b|NrQ?`N1FyWG>Z=?o`=4>JawT&g95^X_QGEF$g
z#X*mxT}YzjtQrP9o+4LHmy6Q&qF39_!SS)fnJtMvus@|?pdcv9P)6w>gI5)`0&MtE
z_@dTk*Zd*GeLq}1a`(=iCBl~KvLB3+j~EnfQc2J}?YB)_ElKZom04e0Sv9e8=g!|V
z5BXP6mX;Ee*B#!OUw+pGg7`M3t4=8@3UXd%t4@eGhdKnnf?R&l&iY*K>x;bGV~&gL
z-W@G9N_G-OvE}3A<6Licg9#<aEx9ZDJO;2-(xSc}(jT9-uW?_xpztrEdzYwaR?(5$
zyMqX}fC{p@s534oNE`w#BQ-GyE_{likK#i9mA#s5cHN&GYEi_H6KI)d*s{`ct5?b#
zpTV38&nriW6&lZW=_^^K|5)*Bazn^r%w&ZVZpusC8pi<m2;@4}&~iAA*uy)>UBLz`
z7C<6F@%EXLec0wKr2bUs-=y`i0ZG>RoVDlA`t|>3V2}n8FY7<r9w<892t~UlLCY&G
z%`vGn{lUL0Y&fQMnBDH6S<uIJ(|^}d#D&5HjtQ&(8T20w>CBSd{Q~2xEQLrIn0Y<3
z=b``62tHF<R3FYO5pab`V0N?3rErgDT9X5dKq!}@oOh$PZ}AVzyNc1*-iC3%KpkH7
zgJ6lcwN%gfdX8ak%MKn**RBeL2T&qSH`XIU2<_UnFj-q;YKMEpni2RJI!*mrN!L1M
zFnhFI&r-pZNUmcNb2^OT5e1$G+%qFpd4&0|Z`Hp~8Ss~e6q>K!m=&4qqxyksp=D-X
zJ=c^QCG;#RifnhGUUxwPbbfUiKDt9lbKdP{V2(#F=s9+OxsCx%+F#Z&Z_GSu6Z7<O
z)oa>!@j!~cm`+^Y0lriE_?E-1?s)UH7M3({f?HU8NVllt2^xyWMM+zb5Cw>I7YQCg
zR22mOe@6-v|C1HoVqSGrX2cn+FKI=B#IgnhQ9+4$>i<s3yJdFPRc56FDRKK8IK9|~
zE8+p0OpX<TCxwFwfUIXR$#LkIZGhpz`^dovxeB-AJEdvY$x7{7CUwMQ$C4#C_8s4O
zK{o!|v$$(JHN4E@`=o0$23j*2Y-6N`Z+v_9dgsmq=iU@wxF`L@K<VCtlUuHE=<I=6
zDWPe8mLqT7LxTtMFJ{9BBc@$nz0~{KWS!ULHWQXsF&QSYH~FFc{iQ;!9f#r_1ouQA
zc^K=!cy0ftqf03iO6j?>5cz{97Ox!yuQAJ0*5gNqOWJKSf(5NFrDV~RE=izyIP8;0
z@F{04mA|B~uYa<k#DIt1(mIo0K)@<_-TL+G?epaEw;?s7x$sF+(vi1yU4B0Ne0&z8
zj^bv(s96c)5-S=KBO9n0+b-z2g|F5>TvbDr{brwSTfh-ia^Xs7L`er{jS4^BwTNGA
zv6?@$tlYzpb8=L`UA|X|JIJdvU4-bg%`ka6YFLa$ikea`*-&R8px4M_kbKeJ$D@DU
zOLK>;fy>d8N-+)cYAdc?J=@Z<#3&>oA;B|MFs$Tc>@zNfM11FABib1r9&W$b@iZ!m
zBXeZ>Z9S8ziHF|pne*%M^UZC!wGLOVd~?%kXlRIvi%)qiV02uIx2?CfnP}d2=FFK3
z{YumI<gb!*UJFQXW$DXIU}Iww{g#rEk>M%MsjZ=*ak8rc;>iBIR2UMTT|e_Qdbjj}
zn))$wQ`38zawWAb)2<Tr_4Ti6qel1z1%u|D<0dmZN2iNYBqU`71O?;FrM75j==W;)
z^_Fyv`m?AOc6N4}SRb+`%3r6#B{9-hU!y{`x3seIy<=l<X=e6nHd8=AK*d#(<r>@S
zCw)lJig-YbYwX?D2S!9hba(f&HVC(XvA8HYlcED0QptPxtP0C?Wo2eUAIjk~%fy_5
z<6USk3P5=VxLk+;lhDn)jWf=t)8GGPmz|M-RU?z-G!dATIWaL&@a3$t{y9rGH@C|3
z`>aE&_{21+bi)NcEKw;r`u#e`wY9a^ZP=iaq1w^Y*XI>+u4BVmK7Rf))7$Hj>!Qx?
zQ+|DDeW;*}IQv8$W{(X7Ew`@SyK=>fXYiF4=WtfQ)?L>!WE(1Ql6*yO!p)mEE2&h~
zj!OZAv5Cpc{!9UjdSz-~ADo9$#G;yzFdyIZgw6haLy3Lk_TZ;vab1;_n>T9|JWoqY
zBhQGN%AZW`f)-vmK{2{<wRtGqo->1P>t-d+>e1;6jRO5So-JPanc6S#@gWZ3eQxWF
z^t9IAzL9CAN*!2Ckm=2An-Qk#Rljg=;HOiEw@mcx1Fo9U=?RSjjsmU|vC8!$*7mPy
z`OCjeGg)XC>LtBQP+IIWk5%^k>R=x~mRow|K!9uwbpZR_`*cd#Eknx7mE*3@b|K0r
z6n^=KJMR5RzU=XU<^iEe+`D7u_(TO`Mmqon{mHt}npC*Wi+qZ`y`G>03-0ZWU`lk#
zKj1J^4_Z=^JEQ%9R_bD1g}cC|g^?iD;Q;5<-y%t7!++jFj>5JXb5k}o7mWvg4xva`
zkn?*s&`9zjvgrXO_?L7zI9-ZWCOnTneN!^IFF=;Q?+|(LQSnVjWu(wYa`=hy_=-=|
z))I^JQCV4{Z|f}9ZQNLRbE5<k+E5$VI7J{F7YL1(@;cU+J9mXMTDy;i#w2z9x`dPx
z{wEx$3mg(Nm3{@}n}WE&o9@J{shyo2EADl;VsWkl(<a05)^6rO#v;bacj(Atbq?I?
z*_AyKkm&8f6;#>X*B57N{p*~)Hz`+XJ@Z>@7X<|cRg?Dq`r-IT{wI5N%O3M@-kbyn
zkcp{jUC$^Qb>DOtC)zOj<~ukz2ru<%R$^}02GayGdme@)3@#xL{<e&U7_%bp3N9X2
zjJ`}d5@{t}=rtYs7bBfJL!3H8j9Vf6`;yOLujKS+6Em~=j=sEMAL~y+xnt3**&9Ir
zwgGOod~6=7KXu~7BhLEPvB#p0Rt5!HjxH$vm18l+WZc_3Iu<s%<|2WxutcTL##Fz~
znW#U&L$uWd-~vr9O<K^qDCgq8!3{O)DlAcF&e&^FA%{yjWMy_nYH8<h3rLKMJJ9Kn
z8dP0iVrQpCO(7pjn>+Kj>S}tfig76^#c`1fFTf)OH#A*Hnvj-}iJ7ZM^cHp4()Y<d
zjpuT3-|JORt*K$inCPNrz{dw9LA=!SE2h@hZ-scs73Xu@#RVr$NwE*jOifLdHa0dU
zuL>`H+ox_}?H6k;{wgs#dbe#`O$B*;@2ketl&vGvuG98zgB9c2RGU6yiAX=(1?R*|
z*RrxQLn{5XCc2|T$CK2&D_lEyE32yLV!~`?S)IOLr;|ubNg?<bCaf0)Hb~C>>>eES
z1;dJu=kdiSDs<UYUr^1D@{`y~enT4mvt09_?RF0hMgB~>ex1fx$=Y~!ICyp2!_Njr
zpKKqU&@$d*A0G0JKSy>VIxx_jGd1x{e6`uDVy!z@*>B$KRU0bV@-(6Map!o-Q7xL_
zH8f)ik7T2X^r=>_HVAgU<bE%Q9v&_+30<z`M+*{mYp}lWJ)o+>m6B8ckS<ZMN!(Cd
z^Qs(RVAo5`nRxs&2^GdN;bd9h(q(lv#&_tw^7jSwPKOP0l^ky9(>%z)ah}u1ZL>0!
z%jg4>LACu#Ufp#@>RNKq=gKVZ9%v$hLe7SMO|NLE$?Lng+f0nE;HcJKtEh-G%2f5b
zRE2;{3CR_8i;D-8?Zeds`cyP14Rl8ppD1(Y?+((Wm0TG1(?|b0?C<AlP%Lv2pTfd~
z-rGqG?M4zjC|WDN7>C(NhuIV`(@Ci8+oCr=Q@o&=V}FH@bMj+zPa4ExqPus{x1gZF
z!-M=-B5!YRWn^)*Hu|qyvNK)_sLM$AW+sS>i&q}8Zm!*JPL>4>w_X^$;7tCv@9v5c
zvnWG@=Lv$f_+%Fk-@qEnUJ*V%W#sM{@ZdFmfs=Km8#l`6leHG}n%=3t<w-1KWKH?5
z;~a@;qrQOwpYhwp^G8J@EBwmNyO^PGFx2{>@8W}c;LPa!DgoT&$<#ce|1HbXrAz-?
z7>spvp7aknuAiSz8Wnx?Ef;#Sj8PU@tH>(E%*qP<;WIyPpOd>`-8!k*MC*QAPLvgU
zZ7Oi)2$h<fn|Vol<;s;&L@ia&K{x<Et;J1~l@NQ(bI7<NR50<`08Qz#4P}<b=2Na{
z2@9}Gwm}OyIJ>G78ZrB3rQv%daH2d3T>YewnO%b2p;p)C$8AQH_D;#X*`}eLJ9`&a
z{CWk&<yiz#sihQsZokChbVVUNHH>$+T{UrSCFmkwo|?+W02FLs_EMh|to2rr=R8a&
zyi_E0eI$lOw?@u<i`l~_K~iVAGu4R&_<W&^vT=D_zCHvJn}3!wN=bc+yEOi)7BgxO
z#@K&d69bOlxd4||0r_T|H|NcD9BKn&(9&a<nBMAHi@a61z#Txy+LUmmeS+xrwu(wd
zWfEGKVtb}v=h(37N!oeNfM;j-^^Xh>XJ%!!$!X7=BZn1Kz{8WbsE6{4cwmRy>oTiL
zf0E6YV=GVYd3d_Xo;<;|$2+h2dVq^9h)-)4>7Z6bN=gPE(%uH6Qld^G`3lO?-ca*o
z8ejG$4~Pt6ef1#aA@$4II$O+j0>d?J-MTgP;vG$H)ya}aB^|{Hb~%3k$iFr}apERf
zsqfsmQ)JXP%Ve^<h8l7hU^9_dH-uBTB`|pqu3OKE-GG^|<IReUk{b?woFJ%CvfrHc
zcpo!rbU2|EX&n_|m|VB2uWv)I+d7_*(hUti2-%@1g*5p+=O;@jXE$1y_MLKcbUfL>
zQr_`QxsoA972kbIXPZU5n^;)9Ci7-p9dpyP>qSd%K0c|W<MXk1exXf!xQ)F5+sGUU
zpjg>NCUg!TA0%{S=OXVoa~YY!(wFAOE*C9JJu-dc^krmZ_yh$B)g+k?b8Bnl&jimD
zK^`8S4l1&+%9WV(FJEb+=*=x>QjnAr#-}Y!k!A5K@*SpKa}f!*YicqR%;n_d+6$_W
zL{`YSxHvb|n3-Eyac3pur=|wa)I`mUOwS4Y0+GJHzT}aBw!M!lWIm>kC&$K~)}kST
zx6oW+BZL2BgE{Ax-kGfje}(MCL{j)D0ODJRG4o@<dKRo(0Tf@5U=mkr{jNNOR|OH3
zo0(`1M$3Yg%bM9pN^6u$f8{-RO!b|d(t*ho$zL6$FE)#^G1%2Rt@#oMnDlfvzDPJ>
zX!Y@xCBmLaO1dE_gtZMD`KJ<ez&?fpjvhM&4{sWG4R(M7#TMcJ^(*b>&4}bAxLP<T
zUx}SKal(+u1DxKlVS}{MXs5~i;z~wrjBorqZ9@gAZd%|Wl5R@jWte`@Mp`n)<@9G7
z30itym6(&jEd7bLUJ)@d%}IMUf|)sX%H2U#wPS<9($XzUx<$_QY)VK{uIQ4qX7>A<
zZpg&O*3>z4l}|)uD~I7FGu=Jk>|MX}h={0HQeJF@mq2fq>Lu64vj=PJDLL~q8E)Zy
zl~4`p8agzS)TlIL6MbFsYT5^ssKdq68TL=ldQ?`fiD*#Y_s#yvg?(F|@hMx0VT5kW
znhv&QuTqacJv-4A&nKcjX<z0Yr=Kr5dEx9qhLRTFZ__jC2N|OH5)$(Dl(aaWJuOeW
zn6G!lv%&Ii-@KH6$eVSP@h1_Z>wbloS#YwAhd&L_rX&p+Uhn1c@l<!x;ZSIck(@Uj
z8yowCR=VvLoq`8St%z-gW=hsd^2o#S%f8URMGcvXA!cIsF?i`OPQ+=?bGnbmY3EO3
zR(dLpm`yXWvP#g~NJAd*B1rDC@=@%L*BENTZG^ec^pMEzK<;GDP(BHkh+24B^e{VZ
z^LclWa#kpL6s1a*qD6y`=P}>1=C)Ap%c$1Z$>pA|672A^l6fU^zTX(#Vm|m?lD&&{
zQ2o!F`A{<DkxZeB26}inb&0lQd~A!4k00(7%!9QA280FE0T%N7NBLJjDS3x`X4*<@
zh3<=Fq%al6;VT3s$bBL?@{C3v`7+9@GZd{CWRBdt8I>*@n2AoJ>*S%UN>WnfN4!+k
z`~t_<%*<aptnAgou9p&H=TU^65*quRyLZv#^z*&MXTgQG-C?l`{+Z-9QMZ>ntN$&J
zOICbk_*m4X(h!1o@7uP(rvPzVSr#=(JeQoz+u1&9n4)B2;&G0wkWEcZ{+1T3vsw7f
z<HwJG;YNG={IHt9xApt@1ZwQHvNAJw3MM3IX=zo?m1_TbfrCRqm~Sfi0{&`yEm2WX
z4neDVG6lK1yOHP((H>k?eKCocSabWsBkcwNz&eYLa{7J9B}sbmXYy)lYKl_C^U6C$
zr%kM_6UoGeFth6{-5=+pr=bBr7#(d0K=|&R6cQDAN>>SO2Q4{E%Om6QGUGU`$VWqR
zblUZbgNjvy`g-8L4(fQ_#7trzQcFgLaAsyEu9O(zht!~@N^wxcTBBX|sO6a+ES-9v
zp>}YP@7f@MK+EF7B%MUyX9I_s%>ANc7nIb;9u%hv`(R&6?MW_c*;~<YfT7*-l9xKQ
z>6@~9_(lmn*+c4QLpEGEmJn-mH#6c5HLQCZ<E5HV=Q8@2eaGaY_$HSJ^qi&VYu896
zV$I>d)$h7;^8E6TDLn#`Et>9H+U{o`iS#<&6{FTOgbeh~%nT+l#p*>Cr&vp9S5Bv@
zg<a)S>&cKDeYV`+xk-uM+&a^+Ybg25_DHy|cgJ(tEZhi>Tz0naQbYAc2Or);u1aoH
z`+ss9zVTzcH<xP~?Y2^rmLWA|>_!g3(VLMl%U%C8VKg)p9D<C4{UdE^PG^my7GsXV
z-OO@xt5<!Qxi6w}MrP|M{o7G_d#BsuUb&DxVO8Y970lD}ac6cvTOC<Nr7~h5+DJ;u
zbuz1^sb?9SCe-{3s#^R%^g)ShH(sea6VSs)In0Hu^vuR{<rj1VMAXxNGSK%NbxT$~
z{~}&e7-pF!g-Bj}rq<@opmMUrGG`(tv-dWSMoh|2sUbf>hqdZu3xArb>7ZZY3uUmc
zM5M~Q{>Z{x7C=J7|I@>@$3vO7@7jI)?Qh$Cv)alrcD1n*l4CiwrPo%XlC+2-DTmcW
z&OGg*8aeG|k@MD;Nlr<F7$ll0#}dZb%e=^8Xwoo@;k~}Izt8XU@rTdz;hA~9&-Z)Z
z*LB_3eM^4L#KY*@Bb#*<UBOJuFVM{GFn!eT<=CwKx<AEYaoku?T6#K1r}ZIhIutBR
z0ZHLjTklUcVRni^P<I@Hd>7_Skc$RJM)CZQWe~-YD3ZdDheJAW<m;?z&sdc31LAIh
zQsF3K!lUUw?U$Fvw7FZO#t*se_LE4N+<l|ffvEr}oR+s@ES14f06{3SvPF@6A4Y+j
z^oUa(>Q{8ggb#b$T{yMX62AY;I}t<$(n1azy2!1GauWX!`P(ChKYF{?g#Y*r=xV+B
zeBYOYOQXg}WQZDBaNd=}B<>LyXh2vCS`?y^!q<}j+7a3J>%)(**@xX$gl;?xjEp6e
zSkUYr6_C!6bJlj+up&xWIeBkD8pMuYUsbUegQ67O#68?$6n^8O1V6_j6Q8vp$GA!p
z&D7<HL><#=<n~V=uixYN3JuP@jDVKtfR<g1o>S5r-QUekJR0|&dI3IjjA>dsopkUX
zQWaD`@0Kx(`6nmQ4sT`U0$KNUclQq?Dn~y>%X#S1gkuc?B4K4D;%%F!A1ohD^BE>w
zh)%bQdY@Q)y7p&sS%kk-w3Lk7ZBZlAf#7Be>u!Vj18s<Lm!9<f;cAL}Se@fXO`@7e
z$A~OUma;YFKQ@7VH?Q~WZNs;(tK86y62xGQlgn6JZOw)4<hCIw+435+K=bJ^Xj%*`
zv;?1cVtxFXKPB!ZtZa+g@cqByZ`3SL))Zb!@V0{r$*f#;BtY>&|7vxO#Fw{TsK5J9
zq8*!XL|OKEb=QSD)#V*0xW{tu7V6hyYK`Fu?%vyf;&)YaD->76$Hw0GSz~A*N-M1b
z_$Y4eJ!-vqWY%aOrb1rGFDwde_G!O-O<q}9Id8J<-k}cs4*Z!ni3HiP@ydalscMNA
zLqDa;92td~fo%t9FTTDGn~X(v(Ix-;e~>3|oqLo5<6U@ocvASjd&&V#dd29*LB|__
zBe}v_78WJQvHrd0?;Nvj{#xpf@ChUY14+xuddyl1{ZaPwxNJW4u<k*h(l$?&c0Ddf
zj%d04FfwpNQ#WGhGtPuk1qRV<n}^!@yC&YVcd&H-UrFU`HCdH-J6a|2tKa@XJ)H_5
zs2)Q^g>-uP)T2gs+_*Agd84C?EP#Kom6dYX+uMR%yGU<Ft9H^s8a(10>^v-a<V?65
zOIYCF?<poQ3-%L2OkfpJUtC;tNAEce;fVd(T6Htgq;Ni_YS-J!@NTsnPxhP?xn8VY
zLu;b+I5wiL5R${2)8z;^V2vO4zk%+V9YXiRPSD9vI<^^S4lZ_<-GO#ojl9c&fxgtb
zs0v4m2mY-puFPT=^y!IlDlPKZKCFWg18l+-QDQY!!BmJ4wC4PUSwm>-kShWz;X(3=
zL6qS?YL2GZdTQjpF#O1)rV*29yIT{%fzdwJ{UCWXKP;;#)<dx*av)(x0$+15DW|Y)
zHp(hApe9uHblCs?nR<dCi;D4_Z#S&Pmi<L_=_{0tS*NOVj(i(yzCz9ip`^~vy}!0b
zq9VeBzrTM}5;Q`DB6NV6-JqTi8?7t@U}-LYU|2qf=|$xe<%@d=G8%2ktn3|0*J0~r
z=IS(d3Np{<vlApCC|t#0D93XdN>nF>L8{9`s@~_kBJV6uN4po7bNtSh^e%tP7+@D<
z=%vT;3|*gOm(jI*bJ2ihSPiXg>RlJQ)7_zi(dzz58P{Wl36$zNv&5eFyt52+MWR4H
zEaufjyxK2!Y6Hye+LePP-)T4hAT)DR;21QCTlEw83S>dnV?jJeqh>9he)wXKenD2q
zaP(U&{>SS~zEXjXhP5^whW{q(-S=~IFi9%IeG^Bb7hJ2BLzq;Jx{_a3r4|IoQ)Eo1
ztSk+7Eq3p~Tq%i{281r1j3sbOFq^$%R*3$9a<qmAhjzXS)Q`V#*ELxt^6fqW+qha!
ztu*3{3T)G=lDF10K9kFaF;11dR2=(?wiqS{ZSlnaX1XMX>Pt{3bUdtqF|Z29w$}u9
zBpw_|{Uc&T$8z{kd4-kJQeE}T_02{@vlD0f8a9`78@civhG#d)(wYsq_2h-g%EEaN
zmVu#O#c&3L(<+$iPXGaXljjkDNOP{rxt2F(3Isg);;r9?VA$vIq}xguhW<$?!ArZS
zokSglUYOS4-nxys)2l-q;i;_E%33j-?aC6Ix-hZLaK`$0(6sT)$9G2*U)kgpSn7v!
zD+e}eWL(?}aXJJ;P}GGzWmSB?*T|Noe?6?)d;1I20-d+RXdjOO2d7Gf<P-BVDG8T~
zgZbTZ4!#%gCn^>?+7lO@IkXOhG&&EgN4In&YmQme|I0laf1?B*35b|Mwa}H)d@wcM
zQ(@(*F?3lUAD@g%4Vtu`3yl5s$=Mq_9|<I_BbPkO=1E}1FqJ}#2(*pB^oPOmb>EpM
zIB(_Tce1rQD#|;uV*3ey=uC*wsra^q+C7<1DoJNcx?h~#`5O8pBQwa!B~sY&I|{?_
z4bU)y%w|!tr8MJmDSFa4*DaTZz$M}#<A<PKfbrP3<gj+r4?>F>>!xX%O>vdpj9rUO
z7U$TlmxD>(7X}jUFZKBkeDeLFRn3nTFqD~Wj^AINC4;%hMx*{^RbN&k;UB1~29UP3
zSojaAT=GC5x`zaAD~nt`WGs?qf*0RR(6znRxLkU<6-V8X5;~HwKJ`8_Jw2UwH_<lj
zxGJO0SCw-tcf-}aXRc>AB=?>(wEWU~^JUm8&4lgtl~sK&Z9ow0>XRH@6%g^3C4(!J
zIjFWunO-`(U=v5{d4)+wluJ;zCr$xd!E5UMSTV}m{u$Kr0<H)<9PP$6p5kq}zQ36Q
zA?NASryIh|D%+oBIPm=<wl>Yt@;}Vw^kheO8&G}@F|#KN@|b#gNuiXFTaFLeJ;$%D
zO1m)oYM;!01XdhO9Ysn>iC_pqmeJ{O62*lx$NVxbKKm4(2O(?vT^C_+bUGY_-8#J@
zas*3fg{5Uxes-H~tIKm5^5!13w;3+v?E61Hr>15xSDf&CX<?Sp-r}oZ%wzf>VkuSr
z$j@bDRrHP#K|B_w9Y}+M^uZ<ST*6?{$?fr(tC@fh=1~$~`_BSSFv|o<r<JwxdK!1y
zmvKxzRC)v0zTBLE|9^%O;r7e|uiwt@Of?z#!(L5o7%E%#aV0cq#KN}8CTY?yepu%7
z&+9=4iErn1Pftao5eZ1er9nYkvYgH-YZdi0zNfIkO%OP8GjmPXI&WNiRRkSO1?nMM
zLvNT2)3@aGb^6NVDZ-tL94he@L3;-IvjG^-G-_BBO{b&l!MAOONM8(wMq$Oo1E7Lf
zj3;YfYVPp<4m-1BfbIA*EkEB|cWTSJxmBw^{gh0&Y_#cDv8y*LrN&~rrw?<;7QMfH
zwZWTVU25SFiM>$Dx4W`JrUvm^x{#SM6i8iI@(`yL<CW+bZYS!Wi87v>k+Be+wyN)H
z=_*_rk|AdNl&UGu@W-DspPJ+xE%1cC84GCWF{Sti*~JW@ByVUUuP7c9gwzP2q-LV#
zk?q*NiqdD~4kB)!ZYv4}U{;hZZl3cGPjL;qfB}SNM2#b7Gb3ywS1=u1V+z=pT`wM(
zuNI|H3n>ar{p`I3<RBtHH0aORsUmjipQ}u9mxis5Bm8wcOns|hU)9KFH8a<cNu4<O
zl&cxSt^nXH{*;@Kqbp7v2d%0~#QmFrel{Gn%$W!cusUUA^2$g_r%&+V(Ut}#+ayQt
zRO2P|(69+qku9zhj=?p*iL*J_rER{b6lqvLN>ryhJ@>EOz3BzKb1ZeQZId&dCHIT~
zVH?K|2WGwir=SRAVNG8yioxi)aG9{(;`W9Nhnd+VTE5xr@&{!7T^>fea!G#Mv-_j-
zH&LyVejzpY>$;XW!(>$u^!=9p{fVV~<#+Xk@KR`yG$(xkAn(_`y-Ki>Td_v8{ZrdF
zCptShsi~oyNv%C(Z(ia@DbFAQik`_;Kdh_quM)hJs}VgHy-%rO)$y(?U-~{`@lE!?
zU-M}#t@R?^QV{KE?5+9(8kr;~XTJ7wSejW`_IJ75;b33=dyB79nUiACxQiUaeR8pv
z%QYV70<mhUxu>KkiC$f|*x(<*QzBaKK@Zd0<i%!C;3y=K*(_9K=$|6_eK!JWH7%o%
z9~Wv_<&?&m*k2I)LqV%p_JVW~oUjPazy}}Z=Q)_`=Z+RVQ?qKJZw6WLmR(~Rr0(UH
zPBv+4<a7XOHejQHMNFp`n?9RqiE&#RriUyqQbPCAI9{hI<u}t{m5>l0KP?D9%=K~?
z>z0=6M<|Jy@=(RVs?T&;7ZYmATT5wqXnbzDOxsraqs;tSN&n((FN${ljMnZbFY~_>
zk`zS))=8-eAqz+_=UYw9KWlHxa44FMs-IHgjQ0%Ont$_v8Je%s-gc{FkwvNgeoneU
zw_Z_y()(j2x_HCF!f^IClBcS;3Va7T;x_eu-IVj@DAAB?@kqsW*o^`MA-2HPr{0lW
zz+J(SV7S9pR$0~UT5!vc2MnZPTfT1zqc)ynV74k@#{?-CypTR*PF8V=*44dV>#*KY
z&*XtvNCrw=botTWD9%|so*P&gV_z&xD<_{r7)P1$2CWTi1tr;%?P_YSf*X!D<K}L{
z2afx#>ItJkx;a*(nCj<!q2&QL)Y5$}ju+_X-y|MyA2vHN>Fw9#4g7j*`N<$l=7@#y
z*Wcu#ghA#LvzK)?P-{(>%7kMsvd%%*)VE}}a^SUAz_g_EMDN3N7!ApDpGm_nx2Q$E
z`$cuCw(WQVEn=W^+2MUmka?8)1Q8N8!fA7s2o5dC<=(-J(T+DE_fBF9qW?IWlqId|
z3F_d_Es&maz?JjRumJEMPR*+-Pzsuraj7|-fZF|RCC-=wrsou8M~5A;L-x9#Lb8|T
zoeC-5_WsAKZ<xXs;%uYOfP2u;ykaXFgnLF_Ru&W8qEQGxz%*ZeAyyiAckRHuCJ6c9
zie%8*svfRiRT4*avMtTbSk3EB8_IJYpKE*6ev?9Q+!FQSFIB!EF7TWd&(IKuTBrQq
zKhx<VU`pAVg=YVt#l97B%}R_`5o@QK8Ugs4*|i_AlOYU3db{)FN$5eprn5{VuZ~Hh
z0h1j4#N>O)w>Wcv-)ZAn;%4!xkuUcowv(4kr<?F%^@A3!K43Bp2{5DRU6+0h+X<)K
z&eB<?aC`DgC-k}zEQ!eXIw8tHN_dEmz0m8#-$`Z}-^G+DFZC$blv(o~(`YvS>e`32
z32Z0GNg4?}SPioe9IL#idQwyuURV!XuFP6`kk*A14b;hFU{*D^c=wYGWd-r3Zk_4&
zcsS6^qq1vjYehh$>$xrgm|w=?ZJzmJlg*!-#`44Z@Oq?c_K`HOkEF&+H`K1e)rWTi
zqqz|66W_UqTOCx^Y6-l<Llyi0k(X#V9qQSAM6u%#4(5h%#}0a?{=O}xnli8u)yk;z
z8w=$*<7DA_N(a_dp=b%0fN?H211CxFlT5@{o@L(2f^CCq<XpZWNgfj#Ea2R`h94#M
zhyhJT#(J_Pf-C)4AKDJ_ZfF(Ci^IiAI-9{=X#jL7g93$|WIRO=o?={&d`^=`c+0IM
zs^})!TwiIgHh4*Tc5%Mf@e_C5SwRRkLs|C@N|S`r5Nku?oG!K$iM{?IbxOlT!XTov
zpvxnHge<UiUHZOtyS^b-2ouy*^TO`-n%HKiKHlD81RgWDQdya}c*42$WNKWj;{wPC
zC<rx9>!Wd=p9=2ZNHRHT4?BwLE8+U&t=O6j{n~{|e;WOxbIg#T&)nqE-4aa{1nd}h
z(;YuKWtB`^Q1Vx1aBQ5Cy}`+Ld7P*|*eV%~yb`!`YY8dNE!6}~|3*}yJ+D@{g%4{#
u|7F$FrynblD_5>28s@qtZp_u)C~IV%^!d+oAIXvH2lm@q74AL#^M3(l1Y^1Y

delta 26800
zcmcG$2Uw2%A2)o-y0b&1NvSB6M0*$!$w*O}l!o@+b>_C45|S2mr${C3jrJDmY8UOT
zz3cs){(s!h@jlP{yzhIwZ^z-jsp~qg^ZbqP_p^RQexZr}Li5%_h-FRMSH-0LN*63e
zQpKOCJBh!1`6@j~KPAm(+@>_e-%E&vc(P_q@%!@Ojc(Sf4=i6Ubgyh~#^HxUQ~5%=
zOjv)Y`aXfUbZK_>3tW%fx6%Fj@;mTiMbf?BUyo=xpC6a~_4SX!o@IROzrXa3(i;AH
zA06G^E%Jvwf4}i$;CX^Z?bjP+WlL{u{`C8e|NnjFzdw@rzx|mS)C{{pj{==<H&(Om
z89rZn@xq18+dNl#797>l(Q&-XLH(<Bbi?6a4->a;^+wifHLow4G$h?0&Rq&EFIV`O
zmzO?KtA4%q%?|q(NA6hl)UGZf$h`2{fyee~TDr+<32Lz&9UYJC_jHz;rQ+XZ66>NW
z!(^&vC;IC%Y<abbg+nq6<6ADpJT|I%UH#9gEo#X|$Ek6e*S|*7=_eYQ#qa(zx*FY|
zzkKPX#<TTP;{|N^4;^~^^{cYoP*aJzdG^ZppCeE2*nj1H=LSM4?pR=8pyb>@V);|S
zyxtkzA|K0vIzb&>-9S-G_KPu>Iy(cj^?N?On4X!@>@qCa@n^2%bnENulT7L#9=p5Y
zvHhM4mFyfG35|oDEO);3R7W(q%?$>NSr-l(Ur<uoA!fCk%l|$d$B9Q*ZNBr@MEqI=
zgho+UWr*?au!Z^gr-Hhxa_2|a;;MBf!dBMSr_P=0F81Siqm}&(@7%O$)A>rpvgD!Z
zk@kZob#D)kI^vcG>J#q@8B{*-_rF=8pJ$Y8H9LNNa;W*Vg2K9sua)-}MHlS2_<PA|
z6ty_CuWxr4ZpkLE@ZQm%D3LvR@~>UHb~QQm$By^a^jqECL*0?te0FJZp`^H&^89Mv
zoj2OKp;)s=bzNOuUn#%Z{Fvur_~k@>$%(H@CM{Wk0|NtPEGcQv*Zf-Ne*Ma4&u++F
zoaLpYwz@gL=tz_pu#-?!R8-x!Z798)H8sxh+wJXdRrlSxb&IeV`CdTNJvrETw?OBE
zPQruW;B|+stPWI3O)=vgD^{)goMx%}QX%kTeWF3L$8b!1j?R1cWla`&>u=q@T^%8}
zQF^wA17p?fLA|U{<ipaQ-W|#zF8=KO`@?-TF)BS7n9z}rYXv^NzR3Ic&6}@O6WBE~
z?er!G>VqZh<MIh(Rxztv#Nt@k*Vh+4A3WI9kZfEu+F6!RZ?ZB@%6^FXOVqij<DT1A
ztX{2@YNn~>)XRx=<*6aGcW;TRkf2~faRQdl8;$gb%a*S?pQwLkeqrJMy?bq;&O=vg
z-&{UX9!a--dr^vMBPAN2Y-wqE*1xLqX@!1<P4CC-sTOsjN8@@}gf9Nm`H=Ipm#ycV
zkbQTEy-tE^aLPu@ZA&kX-F>?MD$OC|+TEg}Pite<g{-?2_%+hbcZdi0^ZYJ5aZ37Q
zVafLw7Z)R+<y|{KKJb2<p7XWw+Epd~-09!$FlqRts>NnaHW;hMUMlou(>B!1Z1$-!
zA`babW7Spm1U`NG^rVgsyHeCyPHE{Dz0dn4B!U(f=C&{~skcoe8&lue4XQm8HkH@V
z&`6kiD#I02Q5b&QlR?--^@iZgmR{i?@B3T0M~S5=VrAjAYuDadwx19-Ybusm9NGAU
zUsFCz+SNnzi&<*owUW)NHnM75DaVx8=eQCQC=Sy7wXu0cMR)V_Wyu|V>CzLyp&~Zo
z+UI{xl?RLYFU(CT#i}LiQ1_Kag}IfwFI(=lM(^&UM_VskxS*QrCWRU9oSzxP6m6Gi
zjnuDrrpHYD_^=uy5%^GAu1NG;SY*V-dlFVwR&Re6n5|4pS&m~2hm4eO2ohvbA^!+u
z{h-OT8)O$3Z-})md-y*LZDJtTnP-%@*4<|xK71&DsA^%V)qHoN%yipL_9C;EtooBa
zK0Ab77ALT|{J8N&{?c79uXPQn=EDasul|&3-g>m8dmaxf=gTU!X1B4Yko{28(Nm|N
zAEqBYwo!^u-gDJ)Z%mDRYmV#XbSu3C<D9vn%-avEW=!ke-Vn3ydhqb!(I8<{jh3q3
zFHyZM+0F_5^qqsLtuGC#Lh-T|oy2<86q6kkX=!Pj!G>goTFY*+zo)_?Q_Dl8GS82S
z<t8N^B<D?DzEsb%g#O>vOCWpvAz`VJX=loHHn<pDRXu!#?)meZBIJBmUFrM!>h?p2
zne6$|GD?zZ<C7q>j90~uVZ@^2(PPJEdLn#9ohRQYo_hA+!Ql{bTZ*XV_Z8|XCVOoL
z@u)N7U(VgglAUWxx5g8!!`c`aFxk9$vtj)^P9_mEo0v5XS8@FnD_15E4kJ3c(wWVb
z0=e@v?}wT*9hVlS);0}eF%?%-6c{CsemN&oooH~beZK9(O;1zrk+7xtyF3?P|EM<z
zvs|2aG!YJ}rpfc0CT4r1daEN=@7S>;YjL(eSkm#csx=0+$z`nKuvVCP(Mx|$+kv_S
zn%sjuH8I;;U8h*Eaq9>aS}QA2*V%)(`xnI0Vx(I8c<-0Ogb0@7m-h^b9j%u<Z5}9W
z%82pZr~3B&bbXq`2>Zy$$O&GSn3~cb-|_@bOCDGJ-BLTmYqOp07e{;viX&}|ik9Q;
zu8N>7%*+b1vMciLtZ&cTDAO_3N(fkma)&z5xC;>mm1zn+T-@A=##DZamdi+ij&7pr
zzIlw`ct6$m?c4ndTw8K-at@j`J!O%wV`xWFQR->v4t1^+#bOZgl^p%++qZ8|6}aZ-
z=M9_E1hIz0&jbk<6k5I_+wO;(tC_|+rv?(M7>mN(X7`eHRiw#cxqjjfZEfwouf(fk
zCMNqh<a}0)Hr(2$m6cXJ@%P_<i`w*TYR<6b5EW(cFOfZbnBqD+{w+4Og=X~ihxYdN
znb9(VKvX3(7{OYT&;QV3QV(`nKY43klz)GVce_Z7!%fuQFVTt|G&D5(0~MyHr_aB-
zz$tFi^ZuP)nS6~n$Du<tqISyNnZ!HYq74z;?-Jv`3$yR*`_Fh|^RRK8@Y?Styl>mu
ziXagKvR@f}{i`^}XQ_2*(Y{{C>cnqU<=5YY39HYv7tqYG+55vuUVe?|Ha?x=2fLKx
zwL<I$8!S7D>7uO3{&vu`VXM1}wrfrA)0JztQ5>1dk_lsKTwU7BGeL#gi=*44y3Mji
zPH;E|KX`DyP2<FgRgJ0UtDm0>lTI?M{@BZmHBcTVlUpY`8ic1$ZL;$GVvY4?(wsqG
z9P`7jX6WO!1A@AR>mr<HLhM`iT2);C@=_6-I;wkArLD!Xh{a~0uDUlZI(iTG(6Z@o
zciB7$jjBM;?E>#~3fAlt5FD6}yq(%P{6Ql@r+~dk+=)GNmPcN(imr6%vQrt>nx+|J
zUw5~`{F`Mf-Db|S{tJ^nJ7ipVXFb!&bLR{iQ%vVumloKhoW}Q@FUWA6v%_A?1BMEz
zBsb6M;+Sm<?Y=T=g3C%u1c}XG{JGB+78OO+J>@@hPrKCbM@~|e>7vo#cePDlV^n<I
z-Q9I`Ez_13=QKmha)%;(rPVqlKYaLb;=<4Fm%@qNZ{^5O=*$8aT8LF%J5c@n$nu@>
zrl(GI=BAFc7fHl2Ox~Ffx)6$Xt5EA69>(#gIdS|68rwF<oXbR_e&GmNdTPIIJ@tD|
z=>!1{EU23HBOU(d-sx8`qUX-^Muj;HBouiGPPI4-7*q!DwJ{Cg*ZgbE8k#F54>?y>
zE==Vvb$-0PmU32vur5?g==b2T3=RrH`@$147NLdiv)bTaaxID1LT;k3hJ2j32tv+Q
zk(t)U9q=@uokuykZ8SJyblY?J$2`a5x=#*0;X2|pKW*8bX4ag+nbV>PJb1__7ZsYF
z?CIMwo3+~dKdff6F%Ah2{rOzm<j$F^l<NzjW3FoJ4kP%-96Y=tHB`3$mjn3mJ}bEv
zel|oL<+-u$@P0x>glbsyAPisC+|z)X{11A959qCVkgBMzs`|9iIN(mRnLzdQ!#C|`
zJ5w@8xqUsqo4M#+e7tUD>z8*L+{E!I9~KD@(@4v`_Drd2%@oQ`$|>0+%B@P~(nSy7
zs59FWVr`W|d&;_%H~#_0_tZyK0=imP?9V0cvbix78;@;bW82tay05z@YVNDjxyPmt
z-me#Fy289P+aG`2C%JKOpf$IZx4$d?u(Z>-VM6=ZRNRJj>&E5R>2VSQLu|x+LV2xV
zPz5&P>f*+&iAhXcPNhLr2MG4Gv=!D?R`1kDI5|1#9b5DhEvJ86r2xKn)&}bxr!^#g
zaU;vqXV3ar2K)JavrzzT=xs>mrNn1XGEzu<KuK-33o7&elC_te{iCQ>lA)rX?nXB0
zfl)1a9zy-@cVUt8(o&s@XNM?&wV#aXlk_;3va@Hpf;i(22;5K5En+MJM(5<^jVZ6S
zD!`2`>3alBo~RlgCwjl!o(;^jy6zctnv;u*v1q38=A*m3bLUciu`~@qX48X|XCmf9
zR!wUKvMBFMAM>6%b!rzE*Q#l2|Bvssp}3<#Q&e+Y(#y0yqS^Uz$T^udKYzXxSaS7y
z)c^Vv)1b11b21A_)tOFTqZPG0U%Z)~oBNV#u1!$Bx3@b2@s*myVns1l4WoiK*-|xw
z#cf}g*IE|_RgFGTHxu;H)zuBDyqem$LrCANaRf!t7f&Q672xl$)K+C{8RYon(7$^-
z@Y45Ws+R8D<lsO5{PW=PV?E{6hCw@WA9V$pr(p{PikOF5HWRK>&D~a&!ln%t?cO3Z
zpVF-jK7alUY(5SOV`9z~HeWKjjZf{ZVKqCL*v5{Dx6%$jb`CbC8sN%Wn)WCyg_d_W
zusjvB<^m#FIoeY7&p*3Yt!K<H4-~qQl~a$qoG@CaS1{ta!o7&q+3U#7RhB>6jzpYG
zY&PTO<0HI7B<x2&9ox7g=<Jh6CD(K?_n-+B;PX7PB8R%oUI!wQz>Tk+-%(Lq-1h0k
zvHbk}AJuYfjt&9DXl<gGhsOb@vp`qRI?Do>E;fsai7|`Y+;bjEzl(1K?8zzgW=b@v
zKhW-4Sy7<}UXyhF%bjfJDVk5Ol(-3Sw$l#XEs?(oeX*@cRjAZ_zxGl%hywWRCI*Ik
z^(J7cSA~OU*RPM%D|_-rJ+(4TKmQ)x*LdyL&S3q-z*GKQ%PiX7FQbIIjGh7qD4WzD
zz22H5Ma(s}x@T#9MDLF{dV3A}v<pa-cCIu!OBAk8BpKC|8uzzg39Mt-|9*P$K6mJI
zodS=-IW(3M&{XfS;p{2a7cX9Dspsx%MiV2^P2tq(0RBj~g;@+$`{KusAE$A<rKo*U
zYP{_1f4k02D!w?na%a5SLXC=cB<}6jojW?hL4YkEOoT}^lI=9%Fj;SqZb5vb+2(m0
z)rygJ;4=nud}5-rV7vCgAziR6urHkhfj`E^BDAudz!z^wyUu<>Q%}`ll5vv+O<l(<
z`T(4%y~;M?gtu2qKN@5fmR4xiO09n>Bx$DK^Y3S&XcqV|Njg~E7)HGqdAFuyuYXBC
z!5!vuG}WwG!-pIcaCPoIdx~R>1%N~jv*{YRxVWgkyGDC+)%wxC20hb{w`ljNr>v8a
z$vvPQgU83xPBT&bZgMOaILG>XKJ8HUlvaFxTdcths@M)bso>tvk!#DI@Nw+i`93xc
zyr;@*hmb~S{P`C&&Qn93FM|j(E90DZ|NLwA2S6nTTC#&uTbw*^EMNUO>ADhx3lz5%
zD^_e`VW|N9P|b1>L<2$zC^Y0g|LD`F^WwIBD>{+|igRBzc77iouENf*f2X$=tBmX5
z!AI`y6q4^@eomb{xpV*iPyPL~)6@IG<Tem&(&gCk*Bg@dV(@^7t6v;j-QqHK=4_~B
z$@?42vvVdpKjjj{*)Zt}yq`q4KwTd|mVklD-Ks?_*rEfRu&{VrWV~|q>aj|RVT;Lu
z%OG8)0GkRnHV2n2TLu7TQO1|L-(}jOg;;Vu8!Y<adx0nI+O@>kN6oGg%=_4wE?5{T
zHSlX@Y{C)&5s-48+$}8pL?CCH24FF@{Xn3C<VgOOfyPu{ax0^Xe`{|)Hr7?)IG9X5
zdG_o}%l5+1mK>EdLgkl?WmQ4DVZ%$bO|0|RvO&-3xp{fZ>e2=Q<5C-`hm48Z@}6P!
zV5&BeefacW1^~M(;x^AwH28~5>faR@3wEl2pFm++Gk(@CAk$cF-?mg;-XUoY4vyx~
z80@HZY|_Es^6q9HYEim+^(ywz^TVgT9`X!Yuc!)*yjgGZQYBssx<*;&)A-!Q3|VX8
z>z{8yN)U3M9Jo+)v6fK&Bi3n&xX#)@N}ye{Cfu|!rIW?y-lHvl#FKkeh*Ko54RxKo
zyffY)NrF#8wxi*n-?|6gNL`v`I|+AZX6Wmt&70CJI~g9|dnEFwF#n@~vRD+u^znXi
zjT{Mg{@edX7!&IiVlKt1X4>)jO3xZXPh;;?kowK<^L3%|T<a<igt%0EC<f|F-QeWt
zhKT%s-99_}|3+*4O;S+Qe#w5se<texJAE^!lg0ga>vR(iip@H<hd%N0#3Oc<Eq}%#
zP6&N+?RNf0ggpbN{(->1XleHj@0a~&g{1sp8R$wKU0qJR+bHDXj<4kYwV3#?>0dd!
zkewA_;ThW%dj+x~1N()etenpc%Aek-F`Brv&;5^p8sI55Veb-<rP6XWjnnzN=krM>
zb`_R|uO7ed?%v73AJGKOY)6TIi^s8F!lkTioFJ~4_wi#E{oUU$y{Do3_3wYZ=GXB3
z8a+v)4~iGMD?@ZUOCJw3Bzpo*K0A2*C>qHt_0*xxb^m%R|8n2WpX@S2uqT#n+C*$R
zJT=s;>C>EaeG3>D1U$xgKJA=f@ZSSQU-w|fZ`Qy0+vFEYqVqGpEw=;cewZNXAxa<}
z6H~uc6NE5Sy3;p0tlfrl=J=Nur*fre|7g;(ar;>>9xf^<*inQJu@*C%{_(AF<eyXi
z4n)t3yHG{4K=aAUO;HFuaGO}@*M_*}xcR~>)7G32u(^n0!7ne*w5K$hSvxL5aU{z`
zbEds@SNRSjYFtILeQSlLee-Q!U*FVYe`NCXaK}gPE$P-#mQB!VqjVwHO!vjaQ=q(T
z1tb@)<Wqf1xVIPij?Hw3Ehh=Rpy8*T=Z^9mg8pb`W|p9<AqFD4h5Kwi=xY4JkGzfZ
z_~U}c1q9GGJUpE2@aGxhY%pzGHgEQ7&z<iSI9mi(RwKIDEwgmFEf}~0TG9!c*|91a
zfz%aAdAhz*g;G;ZO5ubtkcDGcpuyXE6QI|-7}0O2-{38Q;<h|;KFr^|MOxYd4MO)u
zME~ovBv~iirCp}qS~73l+F?@;{z&-?bq=`xb|p1NrAl;hD05hnwuo0gk?uQ0D|s_B
zev}kF=*VazR}KV5t0nVbNb?9(^0YKj6lBF!biYL5dlK*7y#oeAcdrbU>bLQ#(C65_
zdxdAgM}QyA%4EH=Z6L<>O_p*usB&HmHwtvFf&rb42cg@AdJSD*3mx5&D_3^<`S~>w
zOAF;di_o}|>*hp>MM==jm*%ZGz@azazb6idhli82sxCoS&M)k{y#rvN*OU%mQh|@X
z3Meq|r8ieTJwHOqqtH}eUyL~cHh%f-m1S7&V-0Fl8cddv5f3RY00e}CIgv6iw9U~C
z6~@@k-AhLf1u9@Z>fSDM#{h}3V3Ks0m*&T+LT@P%{E&vjTt;ar3$qivHqz++(a|kA
zu5)_cXMSzT#jTq*9R>uzIz{WL>U|1?2?^A_#;6lK)-JGI6Cxl?flw*uZ4Of0+^b`1
z)SjP-$$O;~b<e{i+<v$vzpxO>-O)>zwgI`5i&rt?gd)V+4J?Fs$0+MI0WAdw2T^n#
zJ;2Z1+}!?;9~Yph1WMSGvleOFUyE;M2IuJ~(rwvtv&IOz)B%G^<^bK(I@or~Z&dwO
zvpTp(o(`~rb%41$dFBi!CIUoYGb?N5X@Trps7|HNR5EcT#aOjNPLl&AkRTyD5eISO
z!NI}*9jw)>RxuV;wmd@pz;2<Cu&&R>XZ}<#1hjJ>_ihKo?nL9JVDj>MpI(YpTlQmu
zs;!-p_G_&E*)O;38vt)esIRBz^5+mBAjYOCbhwRI%N^FLjwF?M=tv!yZcwEMA%ujz
z)who;O@x_nAJ~+mpr8kI^8X45`$Q^gJH&1Fq^GA#V&5@~TDZS?vk$KX@I$!}D1Uay
z^XBS}BzRBv;@q|C2DIbqcY3G6eo=$s{91WpvGSh*@cV^?RAA)-{OlhR5D^K$3lnVn
zFJ;*F7ZNB!UVm5ihlGW(0k-PF4PcgXdIa?-!2YCGx8lYga0!Ns*?afyC6&CDl}pp@
zzJ-=hc!DeamQqgw7>C|!r)Ls2Y4a4wX@io$At@Q$(_<)ZKcs*)6MV@6(letw&{7+e
zE1OEdkYyGiH|*5Pk`l{wf-by5-}<tiTXx3yLfWO4Fyl^X`Lb&VG_8kkhz#`_5$ECx
z!c?SGx~nGC(xP~KS+jPOJ+{$~{5DXp;W?%JOe~I5rJ?G|b&a)CZKl*xXDhy@n^AGe
zxp%)cq^;g7Cil^yz=IyuYO8oI1au0C>_~?JLMP<hbI_l$i#Yb~rFF+Gr`9e&<EYCe
zWB|!g6ku0)TSNO(es$qCAl_%}&?xF~UBXRBSoH1?Oy7MHm64GFgV`bFbTIGkMgxo<
zzpmrlVCpi5-pByeWFz{q?kWQSG@Jg~idg6LuXv|kev0E**U?jsQ1&`YiN_>M0iWy6
z9L{M6IEhs2SNoD|tOB#o$b~p$cW;l69Bof!hy)XD4<wZRb^~=Z-7LAZG-(TyjUnV5
z@Z#I!yP4xftvc>mx&VZe=n_uF^}4sa{JGA2)JfRN5ccHBs`<ccc7=+2LqkH&n3=_u
z$xc9eC??)qP7DqOpy2}g;i=Bv%H2o}_%1=Cna-mUw{B+9;04H#>O<cEUD?nWI4F;o
z(?~wc>+6>LwsA&73bVSx&8={Xp7&C|%)~XZ6CLS4epv9VmKgRQj*D4Hzw}0xPAMl>
zCND3KR@5?snPXH#Rh8lKv11-=sw-j&tS-tBRJ=i9aj|d;=y65xd<6L#L&H6f^YXHU
z!?@Xa*U{2`pi(22F7oaa5q%mnbIb+e*K~(*^R}&9WpA&cFBN33TDfXf*TRz5YO7;M
z;}*N04U4T>wMvWb_}<XJ{`%|3bb14ia+}fOc`G1l>6uVn$f;Maw#;QFOFDF>6QSa6
z7iFlZtS$nMaZqwQ8T`7zAEn&ltZc1zdx6%<tEs8oSemRGw1f7W$70`f1VH^p);8Jz
zF0$WI4AI(dY*=>Oav-u65&}($fjwRelV#m|KpRc2S1eF;9XkBvf<w#7%R69R6qyKr
z$#HeY=;ae&JNNJ3-+Pg!!7NqiTJffx0xt&79(QOj^wtcGQHf`jS(+E(J{Q`7u1~s0
zV7@-BZgbw?1RtNa!p|{l7KedZ7N?mBy`HR;WUUy-`aVyej<(gd)UBamd-W+QDK1IE
zquXjR9lrfvUnxN~@wO%UYe^NKREE);hu=}AoVpd)`pnC?EX{Yzh*`9`k1UwyE)@31
z=WgiWd_6YhR4K4zE-`9;(jk52%9Vop<qRaDk)G+;LXHm9W!PnZS9>*E%FKu@UhNGV
zW@`&54YRPTU6T7%Bl&%y%`hG^T5(uMhtRoUT~bnlBKaxP-kj9Xsc|7+q(23Tn6C;R
zUft!vA(8@DU~~6fA66+Nle5$LTh2Y|X*eCLoy!Uf?CsUOA5&9N*ig#R=WjsDu$p%$
zSv%*$ET*G;)0au4GNP`ninZbNlYKAXOOX{5X4TbXHSfx0sG^XA2|o-KIf#|PV#n0f
z7@?&9gXRpj<l*Jzb<|qINh|YVP>^Shk!{0NBOMjR|CMH@Ft#-}C+F?)aU1D{aV51B
zliq{&dsw-igFv5yDC(ZIngLW5BJ?R(qUpUagS=Mv4YaS@FjH3Am~_4UlqhRDwl8`Y
zu@-LbM-yRPU~m8!lwf$u%ZvM$J$m*`txa4`?}DPM)o5ysMNQu7Q68Cy@bF-_<0no$
z^!IPC5wN$D&3>rqw2}Hzs<W%BFI~%OBbtTEf>dw1I1#5ZC(tpjv3AL&FWqTsN27^w
ze4$mc43pgOVU<>G@2nB8_}f#5iK>fL6GqRwolK=wGMk5LmTJ2?G%CVQr7wzZF7lCm
zmxtk52Gq2iGSzI)*4x{Ad-MqB;L<wBn$HiW?$1GOXPA4L&LJ($>W+5eG~as@U7v=5
z{<D5!{Yhp4?VPOqF;^7C!&;%Ag2EigLb*|TdMDZmEcOArOv3Lj`prRT<`L)&;Qftt
zNdo9)>SpP;r>7lOZD8(6Rvl%Mu-gYYy$#Myk$xgj)dy^wWe%ey+}?c-GyX+k{Tk_3
zoM=9oBZ7ZJ)u9)a!NLp}6nWlO=%Qj2=;Y0Kh^&|QeSN#p2$f^iYDBxIKV*yx5aII&
zgdmh%OOBajqTn;0!zVmjh2eC{7CC#~j6W_SeKbVM`N`WK7W0cl=AERZq!_o=HE{JR
zyNqQN8IOpGsZ3atPBs1fyqBHG_3PJFI#)%`L`Fth3O6QJFw?|ds#^NUFNYr}|Ft3g
zWvH=}lemGk)SLwOP6;NW%I$lZ3Krgn7gr0T+yREATGIZ>3Xvf~6YYjMjh55UtVtfW
z0ua2Tvb3u|!0(2^nb1-a7j}8Aix@lsNVT0`V^4RqB#D_otfijiiEu2Rk{)-~D=jb2
zw<)ofA{Jf5<T^>4!)ab4elm;-7%{M&pMmXqt^+Z`j!Erger)hAF;QyCG27zX>qW<G
zcx)+S-QL7<0|NslzP<66S{&j6USEjxQ0ex6_XWCLD2&KUaT+D4aNbnZDC?a9fon*|
zVA)%PD%J?jycxV*QWXfGNlOTbfK+p!1Cyu?oaz|#|CzbgrL%Ly<X}1^llxv?Hco>Z
zW#%akp%PG{xum5-+uGV_W-{PY9MCJ>N;*U!_wrxan(5RPXL3LHG^GoH!0y{x2Cm?J
zYgnY!<rrq!%i5bsgnT!Xd6pj<qXo<-P^7_{wD5?C``+G%JQS8MU+xIjRa{c?ty+#?
z)0>|jA-PJ7vDTpEYxg@@TK9b>w*ml(XvISkOGrq72cB5muM($momm9(_7{uNa(HoT
z-m?)~2TXf=w%d+&oC?TYuyt{H0Ys?B@ZuM3P0RDUDNdHq)247(;ixO1AA4zi@R1$I
zX7Mtf8g3=b%jvc%zguuC^xBaJ0PR)U+tG0insw3hBR8YbmaD6)PaL;&^U>~bY)GAl
zqO@X^=ib=%Q?;*@?xKc1K$(c<J7vk709mS}lfkp#LQnt8ATu7T76cC@&fFqqIs+)<
z!>zf8N9$i)h?GBZJhgrMnwG6wwzMbZeYi<%l>X~Ix|WxYa!I=-4ddu6+qtLvZ;&kp
zkQdf0>5`=ZPkJnPm!K9PUjyZ1v&fa)U_hc(=X-QFplP1a`vRL_XuJW66@{Uq{})sH
zXC9#drjkzlkhOTu#+mG-QdRII4UrfE;5eW~SSJnkK#P4<YgQe;5>>worZvgnF`xcG
zJ<A<wM=%=OUq82XQS15qvG^f~V%BIWFJ&E*@SFEykT7!>Cj=<^RiT>Ujx5=+p0lzy
zBBrbs<G)J}szjY-iHeul+%eT;?OSHdGTaSn=BW{JkU3VFzjJule0&=r@LK8PL@_UI
z4|>nMhl!BoA^9_B4m~VJC*`vs-89(A&#xRxJ*Kb!azy<dJ}h33`PH8pu3qf~ee->o
z>k|pP0o5x_Xzx{lLI$KC@9yViw_EHqFBC}V`}@tBMDf3T)JLz<9x$wJb$NMy#6J6c
zRYp<^1@=Q-dh9gOM=w5nGP){ECJg&Dwc9rTlJYyMqKi>#qxTb*0?V4xArR%m)qLj6
zHFZ&EL#&KrA6m>GcprH0-e2x9Igw9O9i^7J9s>Sm#{TFC(01GVDf0j?uO|?#u6;Gy
z;11%!sI{__d1H#V9#QsWhwGVhA>swrRZ?<@4WWoS-)O1+CHY)%8_Jn8YpeSEs9ffq
z)9U%+4?jZ1zNW9wNT23oq+<R`BmDph%c{|bZ)QaHnjl*CKxLO^!(xA;eg)0w8oq^v
z1<jOv%$Z43TJ@kKOTr+Gtk}?{$_5qD_SZ3g6CCLSCuJqtqYL@3mu<EeR^j7GABc9z
zd6+5r=x&VTIo^1zI2ROp@(+K}*I4xcgHXr9-gG$gT5dCX$oYsp;ZrXJ@K_V<>*dw)
zDk^l;sQmZsJHc4TSQi%;Ujg<3>M1hZ`>pNdNn)g6dlR@efyNZQ@1Ykw`J1Hsb(LAd
z>EP02qj?tE1;4d&9GRto`O@wjliahuChAPk2|&W8XA(R-9>_QO2M3p9!Fpd}g~K8#
zY~E7-VAru=A4}zA5z~gR4t&H>3GiX<){oZ}<%r?%-CSJagHj<t;75<rxO<!zuq5hv
zo>zrP6an5LIOR<4c(k|qL32VEcuK3)Hsv3v-;QX$JEUDiQ4Ana!v{gc={YP2(ugVL
zjVGlTD<9a;qb<(E<br*z{Oa#|6E55%8uWhB5qHe~wPYXV!ZC=b`az=q-Y-OycM9{&
z?K^ii!|w2)=dFVdM%gI&<8WYpl6k9idl~{kg$X6s4s0&2lAhZqVL!CbDirHddb(|S
zyR)2gU87m%`k;zS&pA&l3ds5J^Yh0YUTLSOz~!G%t8`B4xQ0fsI`#3B2zJ-%@Z-!f
zZdspZth*~olb(VScxfk53F5Ug{$W$S?M$nX3fjsH&7dMP^U7C<C>q=siOQ<ge6nI3
z_IfmuZ%D@IL#LRBE4rJLGvR99szM)@(_nZZljm}RUtfxqkJrk+cmMv?nbA&i!IXzc
z1mLq^8)y#bdpuC7U4nj<Xz}eRiC49p2M=WsHoaCA6ZyYHv-E8!m2B=XMK)VBQ`5C`
z-GW6e|9<+Ep{;6?g_Deu-J;!6mtx8UNWSkaZ7ZCVBPJ$q{4@rs@!Bus2R5*X{{TT=
z?l|Y=%_b9yxK4eveoDOwjFPukKG0xUu5mfqN;d_pt$odhci%puyzZ7IaG+VMI`*<x
z-B4Ql23BI;as#WR>hqex0?+MY4nLkJ(CJ)<Ug-^&W%(yi{LNdoc>go&E3<eKR0OF_
zB#$0PM@Q38eHa93+;<(j^Wf2=6&=~;U>1e81@(w?pb>vZuRg5RIfkv`fOyujr_!z&
za>SH9AJ5o|aX2kxmB&W48EOjTJpJScGESrT^A674;$&*>GDjKJp-1VzB{GMb9DV~m
znxwLrTKM?o(im<vP})@-_CZ@AlX-qs)kgo4TkzVgI!i%Ef&i7_;Z`~iXLsB9KtC6>
zAJTwQK?v!WKSxLeniaeUSTG<7`>i@of>e{PEM*$E;8ofO^D4ehlw08`r6c*<+r~k&
z)>aVLry}O8cnd1$UBoN4Y}$0CiDY*Z{nT!hVeD1md1Ml7org}7el2>l-=jyeph5rf
z;mADU27*Og*2X3&;qo;%U#Uq3$WI)Cf_}xtC)-_(k>&x{oNs4a+G96J)pGWRooNku
zj`ZZFrVQHN-=JhofA>T-C0uq2D$Z@1>@>uG*1X3~T$8m3hxD;w3-75w?&nKmVM`R!
zZz3B2TqV+O!res@OTcERM5H-KQ3#bxf0Or1X&z6D2>%r(pj)<vD;Q+(tb;?^7fT=S
zNeUp%8IWIj><;_p0xX1LRH5GHOc4|hxF1&&RHK1i;AHFpvetzR&aW;C?~~QBgKlxU
zedD%$s)zAS?@Mn9yn(cE_|#L#8AlbMy<%e0^X7F!AjXRh>KXdgnxqwbeW2lX6#F4j
zdj~M>0cz@nY$sdHAQT`}iqP#^4mYrXd`R^D`Yiu_cy5^10@O&X?zI?4=&qkYdY|mO
z{L#MEwR>C(IBceuK&XT?Lg9*IR$f3a%fest3kno5k~&m`LwC0lOH#{MZ}<lb39E!$
zivW@v79qh0^trvc6f^QTH~Vf3HC~w2^r*vVM+r?ub;xBXk`z3CbeZ5rsqsw^Ms?r-
zhu-4&)fm2~tfA*gyVyynBOjC+b7MQ7n(~!Anbi<wl$Ez4`6@YD%)#k%C>MR^gcrlr
zq(^&7g{mZ#!q2R&(1#Zkyw}!*o=2HfX4f$uj8>+yNxRg=TEdBjRa=d@+FZf5dGp6d
zdzGFZ(35{*O;#?bUImqO;Dtz<$|uF~Vo*4V*9UVM9hH~4j#Y>VkqH@VYfYa7)qRxX
z`n@dFxtSTq%|5>>_q}@>M<D3ly?a*(P=oQHVVlj=Nq2xon*G;5?~bZ>0mwv$Th`N(
zoyq;}&%280^CMP_W6*w5^CoAwxYzXb=o!Y4QYEek2RU{=R)J8fQ~GExsqK>z11cV7
z&S2c_(#Bt@Vmf#qcOgY#Vo6(Q1GDI1cp2oDKV<av3hGedQ)CqH!<N{>$XE*L)nRd_
z8-Ym)*ct+4?~qxX<{<YIwqzvM7HjJR+#>Pc+tk=0*>LOA3k;qM0*GYYhL>3l#SM6<
z;O~`d$@DItT2dQo7@26tezxxUwCg{y<|bq)Y<fShBnZO%)~^X>Xa9b2$joQYZAZ>!
z>mfbnAx{CxZzBpJJEURUkQXS55CO>rT0Wj6LOs>2MeV{bkpe!{71rc7i!K3TW-V~3
zKEj<?!uw6?_Nyfse!ysEWk32e#u^{8Lf!4iTn7~HtJo+5&6xq{og?2p1$2<4H#+re
zW7E;4|NZDP4dYJai5<s?E;=^0stS?Tay(gj=M(j5^tLjq%l~>cjRW5@)6~XO(6mvS
zkkN%QjXF&^Xx<Wx1`~)4`Y<?H0W+{e*n|OWu0>7jUr({0mHWA=Fw=0>*ak8<j(Z}r
zjF6~FkHUd)5QPrPO@b6{?NG<A9c~K~DtJu+!o{RVf(9pOm)XoT^=Dk!RW`vvgMXL{
z8%%PxCn6ZSzdP7FsjO4LV998reY5R$Xb}`rG{$aDu<5-3GSPzxfYu4=q##fI=Og~d
zfA!<NAJ4sA;PSg$>zRblN6OQKTAo6v2W58kP6VOh<A09VmLUrYWP1l_>C0gA!fbZ`
zc@I#$$OJe5Fd45$%3yd#6A0<&*U1DEzvSXj(e$i53t!)Jj&eKMBij^Lj-!20>e8(V
zZrqQ^!zv0SUlixJs4SEgq&$vN@7}(R6yTbi**;z}l*py<wC$AWuTl8UMK-sh)&60f
zebWbm1OpX17gFw@q{U7SdHVD(GLoy|15&#JO=3BJ5gFixX~K0bbl~6D7%br=*aL22
zQz4Rwo<0Ltz6fh!z(xU%4kg*BhR2E@s~YyZB<*kcOuj9vqOkgnC#-07#ucl+N6;Ah
z#gHPg9IN9k7?EF)V8HQ->z|%4)3?@A*$9~oBpM`3fPxnHw7dGZ150(WCU)Hnm0{r<
z-rr>P?)q|<^K7`5H?9SPCIL8!Jjw8%hWP>q5zs+$mKL4gT;e5rtO5LWEn3xoEwv4(
zz&-u_q!{^B((wRVGkoNS4<5Wnw}5$s*gY9^1_widYw@^DzLWUR+v8~9k1j`fN6<ST
zOr!{50Ys+Pz^8@dWrgTOTYvw^=3m3l&Td6Ns%BS5r3T<Q$z%MfQCIr?SoexAmPc%3
z{_|q?xc}vmAgsUt)0v?EnNR<pi~V2N^cvg$UwMYa{~OcrU!LJ=yUgr5v7e_(vf*41
z3GK~~A&&vcGaNMBgcZcTfBysQ&1$Ht==$%|t-G^QYLnY=hGm~-#-m-tu{#XID%Y;<
zMtjtS7t+ZRsxtk=p7ML}0*(Put!F%V1zBz~cmjmGmC^svqx{=zw^OEpb!XacZp3E1
zT}Vo@2+{*rtj!9=aTwTi`ib-zU1&+<Asq;>^lCV^aUaskatlPz`f6kQ#|hH>D@U}p
zq@sfF$1F@gF&89rx+{Oiyx<g~4M~LjHvU##flf<CH+$<Isv>R-(}i0?BJ+L!t5>gJ
zGHzyKD#L*tM?fmlQ$})X%%LKt9u*R`%;*Kx|KUT`Btts5SK*-CFd`WV?ba9(@0dRs
zl5{f|`y1V%B8f|}ZQs87FkE6B#Mvn(R^OWjMDZ8tp{6ItHJe4@iI^qqyny!J;b;Qs
zi2mmU5agho`O(vW4L9lsB=x3{B^SbB5VUqjs439YDVHx_hWrV|ZH9o~_w<nQHk{V#
zcyX82YRBoLNB{O)ClXXaVnU59hw9ili%!^5`al}j3=GH%A<6GGS5{HciIIhJ^%&V$
zK>z@f)A-hAZo@8}9q-KpWg@|Iab;y8QlIb`VaD8m%ZI>qXJmjD&+vJv@D)kF`tLmr
z5oX$U_&B0czl}1A-EfPhVL6t}NqKpioj*@zz?9^k9B%b3(AmY$?;|mkb`x6ue<Je#
zwaMOr=fKlmqnV3Zs^vOykwOkei|dport)rXt_+ty?H|{Sz{HX9AiaHX8H6b~60sS{
z^PMm$(c&|0*(zNoYE({`kiyW-jndBn3JMnjEA(MbDIfqjgIxW|lPBBmFq!R{aH4u3
z8k%U;DepAia|8<G$k-Up;?Th-A`f>Y>aV9Ly;Ru6%^ejS!6)_KEDTwHIx@bUWI$Z|
z5wu;JZeR-I+Be_uY|o(qQGkZxJ~7kM(ozm0xdfjmwN?r%lmcIxQ&cofR<QAp*V7AE
z*RTEN|J?04;mx@6u!4fZeVtOaMyLetS+`Oo=!tJwX{79bwhH@VBO(SE?rC_+J0N*u
z`@+5ZfhDp{bt<t+x*haB5*i+P@(LCqKvZYa!hPUTm=p)Vr}l00^qaP&r&h@<m6O>s
zoOu8`A0MdqH_w@QSvSZ3iu4f^V8}M~k7@IhdF21jf3Ypco;~+)i_0E7eX81~ffHcJ
zKZ3V0VX8>O6yl|Zp^}VT^4o}zyAnr_9;Kk#<bGLkUGe{}FEc%|xyl}DYy_hV8V75^
zDq`}J);r=FEmYcT&^oY{*2UBqjb~R@R=&j6vKej(!30<$<AOvil3g4arAV+~C^B20
zH6p0v8XtnHfh>S{bAI*z+L|eWcQrJ!&>gT;b?W^22P)k;!GD7LgdZ7Gce&n3E0?*x
zsO#2$U5<ZVzTC#3@_Di9fePPx3wWxKXOGFtdo)rJ)n9%d%n_<gb511*zWyg}2L-v*
zFfa#SoicNveo35Ef&y?Qu^!YFNVPyT)wEF<az*J70ZH}ep(x}y-}9w59d&V$1lbu^
z+c)FQBJqS(%IU}4aIS7*J*i+V&d*RJXFB{(*k*}9BVAkUJOmE%qaiCG=uhs-O4D+;
z55(%rZ4+1r%*Cf)(vW#(3KXUy25WeI5g{l3$nr#s(^_{N650eX2>G0h20>Rk#1kAc
z1L2nfYJ0n}Ukoyr0&WcGojg@p*pH;f$}0^?*U!cfp5O2BExELiQOIrl8Ye-Z0fq|u
zi+tHcHs`dujIBo!`XiOPosEr+QN)bA3Sa@i*BzXBaX7?96dQj-)jo}-jwXV@D;Z}X
zwE+qV;~v|>oY{d!MuC($UK-qq#QHB}oF0b&#U^(QmIaF2&iJSw{}tF_`cf7ZWV?r#
zXA?_qx;_t6jxz}9uS4KaaB~~HMly|qPz0Gj36CHmygk0p1GL`AI@2#Xf@h|2q|e7K
z7WUireSLu)K`sTO(-)ZKOaPy)#0smO#g?dNM4FX5vXIx{f8bzeF@9sHHCF~SXpc?K
z{~)p7tk)2YoJE7Ad5a0hvq-6NptOPI_&t315q^dt@#Uqr+}PuPMHD+SHZwDu><-8U
z(xTw#>Z#MGBX9zyFb%{Df`2~nkQbHNRAP2=Q2lkXI=Be*aWSa9Ak5zZ9uEo!Nub4`
zd>Viftc<fv(ngn-kx%C8nAqY5sz>>GXwVwRVG%SVv?=64HQ6z7C-pEX=h{vNx#7-v
zZDhEQS3;5c-^u5>NqVPGp_Rd>D@GqA@jd8-z=Vd%nm=K~j*Rx6<=F^LwN*)%A^fs$
z|Ip&xa5rR|U{S)7=KaYN5)XqT=@}X20r?q3%$V`N@91qO^lVVL*P0yeKKVpKXP-A%
zfEB6%Df1yey(Ywd_t);KuyZ)B*f=Jx!^=}|42fJouFU5<fMitsuiQymR;{A9Yv0$s
zskJ=!!<_^Hq$!T3YVrUTg4c-RP3Vh9py`t52fi5f$5hl1tAC>(P8$@2<;3I-yCh?a
zq;3m~-M5iqDJd^M$Ya4$6W4M9>Hz@Ex(?3EW9Ap?-dq;i8Glrqk1tkvtm@gJwZ$=&
z6H`<6^_%fo2}rJzYCi02w+I$F#ildS;>NkeGJ-3B<-VZ-#C%TE%dnc&2cCvMEb}St
zhX1uWb}hjb21B_N%)nk6(hZI2g*g2`2T6);i~J6^K;J{PCMghd&<uQ>%*?dCWI!Og
z1!ug?UOn_GAWxurwc}i5dtG(JjyB)|{*f%aXCI-KR6N~s`Lx%32^Hc?x|BWS4|Jl{
z`-Q*rp7!bfW_bI%SH$aV{H)M;W=lg{10g!=yuIL}FOD6PX9_7KvPu~12#}d+iafm?
zh5TlGy!rjEw1<2DBzvhL|JI!UEjbhak2U8aE)SeWVM4MMLF0LCpVDt>X=ya{b;rrN
zqjpYeVk=JhnrW)2`FM=u;IJj^y`$Zv#E#@Sr3bl~8=?^r5jV2rtqiE01W~2o2%TbW
zlAPtwW1K%#XW^)%dXsgml24H+`wX*F8mH5Zd1luAd)!|WON&2?v3q|`B{b=Fq{t!1
zQ;3w|J@;X?fG?81nyBOGwHrK5&^~U~)v0o%H^5Uo`nZl%Nk@v<R<{xH!~!oOnB6$5
zRA`h;<9NRu2Wv@vPFD7o-=>vbX`uLy0kM1(oHFn_!+^EWH<^vnRB~?+5QV%*Hx6c!
zK#{?E<oj{x#)c-hRMk+2b$_&dppeKLk^#r7Mbv=L8MekCZ;<FXd3avGPX^K=C|7V&
z4`TW<$6<9Hop4J{OB^62%}3n%?guI}S<ru3U49&K-)zd*b5dGBJ;e(z7{eKbw(jok
z$qALU|K8{wCwEIYZ5O%zIX~7ivUkY^cl7dH*y2)M=G4yg(gQ@>Is2-}Zs}cg9JH%A
z**DXK6AVe4mMuH7br)UaC8O$#hy7v;l51@_`eW@ZHP@yqg*zNEQoKaxN55CK^R+C;
z`FGK>CG2Z5==S@UD;%H>EiU+J-#K;Q6xWx9v-VXk(ifEldxuh6$D~~=8@rv)hHXJi
z-edq-$m+T}hCl@_1n40xiIA}*oTVS>Q^`$yZtJ#O#Hsg2%~0V#2lYbaXeUlm)>9~y
z{ii!|vbXN5@}L<-=qZH}-@5XoL_ZN0j3U03=-$dt@u&02dFZi<z|2-p;@Za>gUr0W
zy&Lx(!&kF_68>9n8#g6rXky}JGC8BGyMF!p#(7O&M$nWv<80p#ll|S3wsCTgRkaO1
zGL$DxByYB5i4Ptr?zEzBe%Wo6?vZ?PeYys})%q&Jwn9HqNGGs#A<LW1-|10VC%aIb
z4}Qkj=RyR&t2ddkjUB79gDS(2x~|^jk|qbc#PYsp&1MoBy{=z-g||Fe_MG+WRI2;s
zmoYIh;e+eDtrTAydVaw_cy*e59O3gf6OKJSJ@?{Va^47^U}OweeX*!~4ByXB6G&lU
zVX@VwPEJnt7#Z`$cn6-RmZyoQq^8O#DJjtt&dNFDkNQjmV!Ztd3p3)3<>ZPs*qS0{
zrsG>mt*yOOJ!1#hRvK@5{rW4zD@umf?^k;y3opPAW~Y8WFljFx=9`j|!ZR7|Qh_r<
zL`z?G+>DE~Rcuw2AHLDYNLNr>`*gN8Vs>=KrK7MWAw6BJp|LDTC?*#Cftb%oNv^Tg
z3<?U0xT>KU^z2z*P8{ZezO`!A6*-z7akO`(>dDdDM>Vx?Mn*+(i;GJX*;T^JKVR$P
z#s_GrJHBq+qnZ<LHc4^)84x-Q8;#==J~=}95R{bE=+t@~m6|HzbmwlVQH0~Q-F-8`
zfk5pi)N}OS#ARn^6M_eoTb?SbLqQwgTH4rkaQ#N=glrbLilON+gT&KMfIl~H-n=+;
z(Q$TmHato>J&)$hnKMe#_sAsRo~>)>`%mX}RVY^7b%le-T#u;3$C4X2ZuATf$6Ljh
z3W<uUPEKVuy*xv{A|<}Rt?deq30+KA>D<A{$degItPc{dnV1#dzkgG8tIW2u8`iIX
zWh~n<JJ;{z%EHX-bwOL(#>PfA|A}Dl;9x9yMLg8V!T?~Oa*~vL;PcQaXM+&=p<5?p
zAIVR+ERH=HVaQ!qpp!5Z@Je;x6U}ZXwwr;f)T1w+$2Hd2&gJ&|WelacRo=?Dq$44z
zCDwjUu{Y<M=Y&hn!jqAEmSyL89;eK!v&6`H3)xDqYNSH!d2Rf4X;zKrad?uZCU3TY
zP_umG!wK6=tasfDrb1VDQ2LHYh3%om9-|yyza??x?nWAacklN^_=^UXXfj-S58Bpl
zR;Qj9WK=pFQ<#yFK}LTqzu)IB<kcGS2+5fQrtm$@pMEW1keEyi^A5<he%iD4mxVIl
z`FKe9=k+T#AC{9fH#ZNqt-UNUKL=XH1hG<u#K;La@}i24-eHvv8HDFC5q^Hpz^Igb
z<b{G+T!}(Czj4JUI=_-@--|hXy^vuSo`gBkGc@FbR4y`(BS3nEsEo|e|9ucZ5v-IP
zD-TJr#_6(xpw{`W>jPpxZ(-1Cea}5|ulc%-N01+ic%B(Pv>0)NrY2@Q>$UkYnI&tG
zQ<r}A)`rf&%KA6oR*>(llh+Zajd$tf<<Ke9JBa1<x`~PWzWeM>_t0B938Irr*f19d
z{xg;f7VCRXsRHQA%I?!h+mG#LH=700&S93jFzJANaYSaO1RR;ofX*(=E<Zlt*<QwE
zk{6^LIzl0`$)~b}nj$Bg-@4G;IyjmR`G93^2_8Hb)Z)N2h!nb*hmn$VZU>${duBH?
zYwps{G!iM`di`V3Bn~E|;kew?+o??9&!09$dZdVEBdy33Xi04j6*4$`aG^Jl-1N=O
z&4MCfs2<gYg?ok;uOBkT(Nm9dBF#1uH~5SyrCz}LI39oPN=bfFQ)sB9q)D}f66Dt$
z7dK--RY{QR?C<OINDmp*OBQTs(xBQ7Vp0auv{%{M+8!^nmZGax%0Bz}Rbrx0m!18^
zH`%D-dvjB=v!$%kH40`g7#e$qw3dWVCMPE!k6W0rjf;%r6c-mKUe`s8Ca0tn!dxpe
ziulx`MYT0GHEn(w7aJQ}U0;8hyekB~1~RraHtP1N`}P@Mzka_dZ6Xox&&c3OHI2RF
zBCYMF88&CVK(%d}4Xo<Mh-Z38@n~CHTi4sJyfU@oQ|5UbA`}XnQ5YW|&)*vryct>c
zwp&%krly2<?m}a(H>kX1MrI}lvMzx7?Ko25s9{@kaRk2vq7eU>!IJIdZ#74Pes*q-
z+r{L{mG_swHrBgI>VKTRb|7#^0(0kiYTzkN11{S$@ef^JMRq>(7&KNgPJZ^<D&R#+
z(UoxV+PMSAqhm5&I=b?mSE0N-O3B_5d0{WXpELd40h(1ix!$o;oTI9wAhz32r=nVm
zc0JYALE?Gj!$!CL&?4wTH$35~3@3#=dGe$VQ^@7=CML!>$XGG4lXAqaDe!86j-Y&`
zlXR4G*@5y&@$H@k#gF85wO7>GdIs)ab=kK0g95|Nz)RE%uat!vzsXM#dR$*$9vm7=
znHYAubf2;6mf(5n{l;j6Ej7uPQeu@N<Eng*OfD_0xv0tgq#~nc+xy8CpSJ9IEN@xD
z8IbQw%(ny5U3Tf<U<({otcG4$2ztkg_~8}sPyK*p<2ww3=?sD`3vc<-ueq(7oAXXa
z#hiu3yL92L{Vdc>X(A&dGa?~Dkeyu^R1-(u$P$j<s>0AOV$L7qUF+wER(I~)IU7()
zyOL+<357^AKX$$tO8#~B#fNtdhC6n=>R&$zZWJC7X&aP*+DsO16k_j*h)!4GvAn!$
zveD+jkco(mupU^2hLSBPs@h_Z-9R`wJL|f>u#$OD**&H^_B9lgTj_GZk2<Y(G=rAo
zp|6dhPWlZFvt<qxLYn&36&M)y%*|;YBZz_d4V=m5$e;Vw$B~_iy#H0JR|9<L5`<=a
zJS<qnzJ8|6;8OIIW~!~BVf6e&a(sLol?txEhnSr3);z0+I5r+y6>ZP}2K4v2dR#EZ
z(3v81<Ct}0J)?9hOnpnNk|M}&Wzv7A<98Lv$tt_(EGNrIv>r{5W#QebyDWC98V=uX
z)2Gi=4ZBTc-n*BPd*tUU-iJnaYul(Ozf$(7!Y=}{#IFV^fE3CYHcjMn^K6!mS5M`?
z6tBfXm+&Qsfrh+hxooAok7-^v;CW$`^u()EcdL-w^@?|!h#`Mrftj_`7u-JL_ZKxR
zKCGmp8+omg%>!pMZ1=+IpZ9be@4ts%jpIvx*m2o>czk7|3*%qxXPbEA(%8wmm5_Tn
zlDN<W>%kK4!@&3<?8+;kSnsS@R{gxja+;pONAi(q-<d8hSwllZ)1L!!wj$K#0s2%#
zJ|Y8pFZM$ben9~<2}GG~J{>`Uy<pEmUf}u5zn*jGAT?mwADeo1W&)97Ujz)uUw*_}
z$4kD#efew`qrc+)_(XT_Jv9Dofh&oQLkE>pGy)Y~h7X=ey>sV|>62XnWi<;2I<3;*
z^=l04?%&ei@aYrTr;}g2*!8Y{R(h4%{RvwxFF?(H1=W}Gm8qR?GV4uJ!d*)MGL2&x
z-_;KYm%UwRorvCiD3n(B!H(4C^VDu^vU(HYkFyy!(fbv+67%fRKF>veA^7}DzAhY~
zd|j^IApW_zS+jcbj&=H;i%A8&HO<W|f@VcIz>|QtF({n2c6KN1rL`|Hajajj_~tzE
z`UQzKHCQAhBqD&?$Ra2wCufsNR`ip)x|-Bvl;;EOeGS#sf<k=_^;(yhgu>(6`|7Hz
z>3;S!#TlZZu@MC{MrY95%S&M<8D*Hhc`tubQodn<T96z5>1XWfrv40N7Jnx{K{`wT
zTj51=a$JAI=g*tdEp5xY$EsVjT2hi5o&^PACnUu3z08@2&T)~>J@XSnf*q3YR8sQK
z=o+iuZ?<4!WOPA=!gZXYNyw2Kp?dP!n%fyUtIB@v*=$#n?yS_*)Hf^(Y9!KQx_bvO
z@j3}5akosd)?HpT*i!LB{SB?HY)o=x>UVZ1QeDdGj)ddaMKQ3l#sQIiA%ArGHtGfQ
zj{8p1+h51W3#f^Ur@rbxAK3WT2$^vulQ(S}i47RrC>IMGoGtSxC}jyRUcXLOitQx}
zj>tE?KMeg^RyH4785a4g(rlh8oQ$q-9R`>N{Pe5O5>s1R`fwWy!`Ay=Q&$BLJ>p&i
zJFD@s@u?{l5>T?T@@K{Yfrf`}%-y(teZi-+j13z%Qe8FWPMqM$A;Ow#E~YQ9rwHAq
zWcVnH-!k4;Gd5GDUKnxEY{v;Xxzw3VR&O7l!jpjkYENlxS=iFNe0(k)bboaRF%yQ8
z$J^ONwtCvK95&B&Gt=&NIw&r#HfblOvai;blD#l1wxyOT|J63j%FRr3&sH6qq`$jU
zwym*cF+_FV<IUu&lW?Bl_EE>xH(tk{-}7j}k=NU&)>Tuey-#(d%9VbrXTfMHhiy*I
zHqU}R-Z91rs>;-RhS6iDml9OHzS}i^bCOZK#<g$xVX5eD$)APCoslc?$lY8T|L2aI
z2-#!F68rseNN$%|&P>;I?>T}|N=hohVdT5$w_97jqu2Uq@T&|CEhBfP0`D@L+h`(O
zi@jlsdp!!i*X1sNOnPYJzat2y$Se-FF7jc0#nc`9xs!W4H#5_dtAkf1&PykO0SB|3
zNNDFV>^kgBq9tN4GKaZ1er&2?Rl->_#6`aCebVN`D({gsX1slLmydW~v}pgEME0;M
zIcRreVKI=Is|Qz1fWPMeyX$rH#h)K`ox`193Dp!CdQNusmYGWXp&t&$#>QDQ73K(&
zKu;#r=6)8j^Ji#!4&WDE?YcwUxx>y*R--M_-S;@i$Vu43fWenqfuC12+HyFc7e(^4
ztSnlcfK__att!WAPpz$Vbmwp)J!#@6I)2{3_`3Oq6BVnTuIg_279`%`!XqAx8Y!{<
zH9Ux}H0V%VE+%2FllRN`GvAcAm>Jt}FGO#*Cc4V+52We!0L2v+%KQX$0|Q=SGcK1+
zw}Oi*lU&r^-u@aBQ_<oOe)96=OA<J0YHA8bB}cvyUgPa;t4WQEiz~*|tEi|Plo<;k
zUx2KoU{pjbUU23NUI1^Q*jrr&C5R(TTbqP$5fL0+Hnx|DH`zyD?C+$e009cCr(3V|
zh>cZzqiXymJ~{c2m1$MHHTWp@Gg;V@QE!lg!Y;3?y#z#f{d)b&I6gi;QX0S|1;VNV
zG^rQV)fHU(6<tXh+g=N8f-NNEabwD*V*q|Lwyr7Ji~Zs#EoNpuxM`kABH9I%P>)LQ
z-i)!n4nvkbMIlE*NZNvbo2SJ3=g!W~?Fh~+-15~s5EznUR=UCU;-hWZ|GYCj8==9!
z-LJ%CY^r2z(qrXJ2sOOcR^-rQ?e3c!y+3<yQ+|2u;sax&rWbMC1BbXXif#u?=xbT8
z>~s3`c~6Dw5j}C`mFs7o5T<?4D)igy#5AjwKUkP%R8)xsXj22&wnqBQHt(uRPC2fh
znURx|$$R2;U6j>eP?d^J4&SyY*7cX1hN`j*k6hETS1xD>GOM4NGucvXkXY|<%J_6}
z?v-xtWnVL>cD7G6+soH#E4SKez8w~}t+;j|!TfYiT)&gDy-K|;U-lJZ_?}Z-e~zbJ
zbpL!;S4LdFpC(Hu)iyqTLX&!2p#DYN*t4L%jJWt-!}xhOVTuHRBY@=0>pqecPLD^)
zu)wzP_T<kn{MZc`RDcu1JLu?I7l!QZ#Xle;XKPt=QRU2Z9qfzkBF#2RdgALT3ZAG+
zhQZ&LB~@1w)rN)^aaio<TL)?$UGG2V1EnzaOZU2U>);R`JC?`q8<*29HGF?6t6OS|
z^rbypzay_3<RoVh%@@#I_f9t#Czsz<9*nT_${jcXOn6!5Y7`!({42WIB=2+NTJn)}
zeeA5PJ~}i1XnD`#qFZ}<NLN=^LYWYLiz6Wh>aWqssz}=>E_CS7A#Y7PT@-mlQk2PW
zLe0>fdygt!-P)?%$yyT%;oxHCTFRj)H)2kMgXC0nbjUOfoXvX#dQfJ2Uwig*z*+TN
za{E$VpP^{J1VTv=nq9<DotX{>L;<BU)}Cv)-oKrE32``?_IVk80nGPDN@uZa&GCy<
zBqXIFDL`!fKYF_Iu%@rHYinDFT0yiH3lu6&rHE|ef@QNK)j<VO5ky&9Qb+|tj8t~`
z^_!_0WothMLDp&s%PVM}02AsJbVh-?~aA|guy0Rl)M%(?0Feg9z|9`al6ecyA=
zJ@4_XiwhsV_kt(&n(F77zN+?3cYE0b@KqK9&6@T$ylzJ$L)CzV+0v3f)rjdQ4Q+YZ
zSr9OsuK{gGjrVT(<vT3)g<fj8w|c5^trVO%IDRH)=;=#^FQnRLXSLMXt2l~W&#Im+
z-<AGA0A6qX9Jd;tKpG^?ay(>&f3WzYZp>@aRC`O%H*Vcu$nRU1y!HF0UC8#c8_A83
z<VJK9M|zXbSKaH_oo+)-Q#<c~R><7%$AQ?ORdJrBWY5%eCRjcx^~1B%3y5cZ8yV?U
zbI7w1=dDH!i#=tqkP%vjidWX+cxyvx&C6^;hPIkW(hHWpMjG8u<l}n$rtlcG*v)1W
z?STK{6RYA2X(2}-#raz9z0;eTntHkH+#nVE$N#L6)Q*?JLEG(aZ{d#P`msp%wP=i@
zNRk4U0`ZK8Etpqfn&y%}Ym_kCRgF0Zd>f8$(xU2T@=nQhGo}WI)O!dmW3%nX?*1$(
zTUjjQJpFl~8ycj{a@FJ9%OO$UVV-X1whAqBR7gnT!S8LdUB6OKU2z5y@!VcK{+<Hq
zEGa!)k5BL7XOXj-^-C$(&DfdG*R88BWB{x%CuSlaA3yY(-@YD)G5VbGQ2!bIi+Ni>
z9z<ivQaOR20Y8Ofwa5<yjXmM}kJahAlquCH>nRR3&HMI*;f4Qffn~6Bg!9y3`!KnM
zOu<Buu5OoD>_05_FcTR@9G$?-D?R~^B%eSDAD6yu75%xU$&|GSzA7A~R+gpDCKIDv
zn);TGE#t7O>$IPa{lxw4^Op}}2L9L6egUsryuE7ndbX?$SZFLasI~N|xZNUn<0t>G
zA=?xW<Z0HxmoHgb+Uey9##EPwOxs#TV7)?FMmd_8Sk_Hcz!TDCSwJ;!@@@k1|43K&
zic#!0@na_o21X-}+&Ph(FxO939-AFKq!Q~f6UNU*^{WB1et|)bFcbI%u3}CYc4U7;
zlp_}WX(A#@VSmKk|GxV-yF%NHp#IP5^?a%GpBqNB*=%&$<BuMWP25b#0W-EcNAmC0
zI!6Vk)4jH5VB&Vu$yixcy|RQT$Ap})1{qbdu26(zHrj!Ji`1n>Ec2+gdhE*1dkX!s
z4Fy#SkVPp{4^r0{$6LcfuK4tWq;kyhG;@GT?BFX86!T-Ky0C~_tYkL%yMz$K3of~x
z?tTr$!Au#$yLV?FCx66Tnk5V?nBUq)i))FxQ_Pv=8y^=xWs28i8NK;U;VB>s7(LD2
zz4SL1m!&_}II}Uo#mp=-d;eWpCx!h%11Ifz@?_8R2xJnB5_fM^OoLwylp^Ug)oKM8
zSKZ#Q0)TbRd3p303&Vk;H`W-gC&&oi2YKY{!X(yF`n}eQi}9xV90ko;j7fn&I5ZW%
z8LO=c3|hECEnLa&_bIsB5O?eJ4mr!9e}d=SQe4F{r?&-5qf@-)BNl<Jkz-HJGE<0H
zX79km+zW&-%8ew~!q<0=K&i;h4T^*tcb$Q*NELvzl|s}jR@WDL%}DcTmCuKH9EtF9
z?DQ7etea8K;DHFq18KqoxluF3*Rghd>-VD^BuSc(hyUGbZ8n572R!RkI~*CAI{dFd
z09(8W1`1NWSW5~@bZjBlev%)NGa_$+;;4r)rwA99+-S*F1+PkAfqH3-LxST_gb3VP
z!VGR2><dn%7<ux`-@WTuGEKiYbNGPqq6c4*!c1mc1Y{wzKyt`=@wjiCjLU*~RzzMZ
zwteYrpsXC$9E{$LYp*ytI2aZcP>HcFF60patCV-|=|BdD9fqT#UOS;GS|a?odc3qw
zBdqp)b;WIgAG^8gf+&oa(i@$z!2iO<H==zvd12@sup}8_Oya@>QqDkXg&oO@K*0Ls
zejLE0Sx6X`U!cb?*&PhidKXhVH4BTq4Mr3uIH~yQ^nzp}k3ujktmvyeT+-&FbPD)T
z)M7j7-08rh$9rej9&T6ZX5^{bRjba`yt4}jvz={XWocBimTB&K$VhOq|L7{1V=&{+
z?n1YeeHvEg@o5vI>e&Y{cU{|>=5QgCu}r=(bR=L!86ZX4MH+0v)LsxM2x%^snMpVn
zvKLQZuWEwZ#<(m&7CQf>S$9smbO8m?=DJmY(_B#Hi9(u>ka`Zh(ls!kUzB^{aBk$l
zIo<MM`Xz2y{7OWPZ@+Ar6xKR<tvLo8HyW=jh@xr_cyvm=9@=oYio;yXaIPtBp6~~y
z^cIz5d9AYJGjlT127-+<qi-)>Y(7_%_W_atE`E&@Cz$G=!T_0`xWcxe=gDx9isw3%
z9k>JyQBp`ZduV1c7<O`PgqNUGrCS+icruLHrb@R>A1Qx7cslCNne6$k+nwig=HGa<
zVZSZo@|7!6vN)gv!Y_A@A}bAo2<D68PLxdoNT(lj+J}(0Q9>XhqnCOc)EB|oglIE!
zdFltB1-AOUk?DKE6<fV0VEGiO>UHr$fGu{Tx6`-vh(@gkMdhB`zqskq_q?cLnCH{p
z*>wESN1H$l9F>p5t)h0GB#~7t_zn&d#{mf_P6O2zG1>}QoMy%0a!Yrvai(7++@Mh6
zKCD}cnLys00ggixU0i$<lszXGwa(*hWumd_>e^UaTVFEjwB%aTPsJGoXjLW{nhONQ
zbM(MH?Ez<dBo1EVA&j<=Ao0*Z=4duqJsDfR3m$No{r$l4?HQ74N}8G^6bcE309kH=
zg#Q6f7qUDJOmokpoIQn-W$!RY7@Ua-#>#lDd(>nL%Hjnw26Hg|i@RFF^67hm9o%o-
z>PP>N&#~EQ2@^CMO1)&pwLL3rkCqLfVhKyn#*Gyh$>&~^nz9uxTxf&T(#yRK{nB~!
z50Yr~{m9?>GA+P)@Nr}ADH$XFlg*-*dvg_Sk7bIEEYV!9%^-I)_y6x9%<%|){KLQE
z6w`g*Fr4Qk64bOuh)^<`{ArDXbjh5b7og}7I!J`i2Rxp<B84dXzm()XV;5b=2BSE0
z6-!v)sVE#F^s&@NFVsFK2w@_~hrhsMpK2#zn^o;LAa@~t653;V`u@kDJyEJ9u#B>p
z_E3PLa*<KatO@}9)#&I|PHF9SpaL2KaCTD>+%q0nncONx#+QcXYKL{;g<9{CJWS3&
z>&}x^B5I>enrt797uRh=mgx2)tJ)tdv<9d*klG85gi%5x)jT;_F)<0R9W8WS-mwF+
zH%tPz;2eaeHk7igf)Q}Dt_{zYXHG5rW{e98vWn|BvN&L2oqEnQ)CX4sXei%Y_s%d`
z#pe=MLaG<XI8r40u_=Nm>p%<4xHdU|-lK9JbvtV|)E|KPpi5Zg@}L;@Nd4AKD~%jS
z_GVFjYzSZVY%;ZA>4mAHeqLau9u80k9h9{dd6<)p=#5p;rs@_s@J5pR<#)0)Wox%*
z-Rd^&v&@C_m_%bnFn$G$piIfm2WIvq;EdMWJCK1Lr(_|&O^9R(U5q@zyB|MdKXet(
z8=ZVAJfJ~2;Fn%gd7;E6_1w|k3g6h#J1jsI7nh0i%QXl?Y(}tc=Ik;@hUB?qW5B#R
z!H*qt!Q<5*mOZ@DvRJ1KD~1_payn+CpDA?#q=G<}vbbmCfk-wK|1-bC31K=ts`wy7
z^G?3ABbr=CmYe%M(%*haU6uU;I7)Lt?7ru%$FPTqNQt6v;Jomwjxc<ExjAB}u97yV
zxq;jW_u08Q;l^VQy3Cl?v)e9;Uf?u<&BkG7LE|IJvop*<ga&9^KXu7!Vrud%Gk&_+
zD$%AMnNgEd3tO%jZYTgpnSUiHoUyf0Cy@yMK&&m+BUe+>lj*ZQn^sf}D+b<v7kmE2
zylp!uEV(WW{j9gSxUW_{r&PKv?gnDL#_k&)e#dF{rcSfL(1MVNxsUqXU)`bbX2DUy
zNh3R1Z#i<*8~t6-fkMhOEDDXIiI0_Ce_0-T+??h$K9lH@t$7I7@el|;z$`0?9Xwrq
z{<(G<)6rmrJn)E)eWv8#Yw#r&sU)I6<x55)6c}!IG6|eWovNFW=r!1x<Tt1T1X&D9
zTCH>+tlQZog~}MW<ln8l(TAH1>w+|7tm+eCF=Hs_snkkd$#@#V;1@>t<z6cp{LRsa
zs!}gS;?!<%G=ewe)A?sZA|M*%aUY>3ge*vJC0P#4xOcwE-9_&i=NsFogsfWL-j~Y{
zLKsGzHQZfPFxP4F(Cr(V1*-Lvs~nMHASC(u`KJMja94uxuYm6YmLz(0{M9Ni42ed&
zgw@EOBL(~;h%MzX1iC8e<I0Bo*s<b13}b{ddEVy1gLe67EF0zPNq8I!h8hvru>nEK
z=F{XRvx?~x6NhhlP;5lFS|grCf)1p*?UXr~<0kb=lJ3qMmw1K=w#mu&;QbBA)-?lQ
zE=|y#ae3Z+2>@}Yw_xlPdKY0dH$Ac*mmLhwIg?#Ec2S&`l_0hA8#I_n{ETat)>C`N
zpz;jxYau1yJGuH_oo;_|4Z#_P9OR2CZ&-V&QG124ywAJodfv^4{~4KKA(};qTxE^k
z7yo+Nl~N4Ewl}fa#z41m_jmQs3=68bRL0URzqEp@u|!B{M%Vn12oC7woPlS>G0I*3
zW>2sL=>-XaIG4m#64X(bpvDd}09?`6*Czmf2c=quklGSXD=g;j<M>x8go>C9vH0;g
z{g%<=ZU-;(u^`gD((cMNcw7ICU9Jp4<st^4BymG3|EHKt*{F`f4B|nTCK$YN5>7wC
zNOPW6U*60A>QO=q{_BBxv{+qT*0Qo!ggVM=9nsOzVOFj_y-sLTa)WxXgZl!-k!`&E
z>QG$#*1Z0fXg4=(>a~{DADfue15-9J6K8VroaR^5lPeMo7bmkd0KbK9y^NI%VGz>W
zH{s#=Ck$+TO4@ytwJCd3N84@(6@T)w+>zc^7+gD&IODYc^;^IHRf(5uZ(`D6Cr$QC
zycxn^q)<R+J56|oH}jJ*W11|BXE-JWRUj)<pI}K;zS*CRQwZTHhpD}M{6@x~O@>@c
zDp6j@d5!G2DkIpiJIA&4#9Fc~ft-|@O0c<Xnm=}`Ouue!_>j}|j|-hEOPzg4i0K>F
z!a=zN0&5zj6aUBR;}CD||E8S;M^s|k5dHjl>qH>Zrro{17>SyU7TJIQ_Qt!-`#45;
zJ$Pn#WdA0G-6y7yMi!K3YUuv-HefV8XrB;=_;cK{XR;ZBcNTCAzJbU~x!4^KP3MVX
zr{Q3FD0k&~_peg?**jJ#I*C*NbX8TD3t5Zg!SPC>KDWZDC2Rt2W4pm70&$VXfA25J
z4&t{&{ra|E6Pmmfb75%);niEhp`mIOM75X|HDO7JpM@L1H2<hta?M<*7OO8GA>1_=
zfNnS{{&Mj!_#96mWW|#2*)!8e<=X}ib6$|e_4gyI+;#%{AH)7Wp!z!X6^ZR5E}U05
zn<SKmcpGjnBa2H@dkw@>m!pY<0nypVVXluxN|sghuWKbg9MHZ>I<_`u!tWW4?n&*Y
zZ?ibU1&v8rUXjah*Y`ZJ^$Ol9Jym~n+kuTl`8Gs!9t&9^&7_lKcs2U{cQ5r3s!!g^
zMt8d{b1=HQR@Ed}_%Af-2{A6I(Lk_b`m~S!l&&b+wDnO$LyYmqc}E}am|GdBIiOLP
zK3@r_YkbG{J<UI?r_$FJU;1RrevQ<BfBjDy>FV@bC-cAAzvi2eWTFeWe&Oy?`nNCt
F@n5*e$)^AS

diff --git a/articles/EUCAST.html b/articles/EUCAST.html
index 57b781fe..0892caf0 100644
--- a/articles/EUCAST.html
+++ b/articles/EUCAST.html
@@ -39,7 +39,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/MDR.html b/articles/MDR.html
index 750fa506..8e32e026 100644
--- a/articles/MDR.html
+++ b/articles/MDR.html
@@ -39,7 +39,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -402,19 +402,19 @@ names or codes, this would have worked exactly the same way:</p>
 <div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">my_TB_data</span><span class="op">)</span></span>
 <span><span class="co">#&gt;   rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin</span></span>
-<span><span class="co">#&gt; 1          S         R            I          I            S            I</span></span>
-<span><span class="co">#&gt; 2          I         I            S          S            S            S</span></span>
-<span><span class="co">#&gt; 3          S         I            S          R            I            R</span></span>
-<span><span class="co">#&gt; 4          S         R            I          S            I            R</span></span>
-<span><span class="co">#&gt; 5          S         R            R          I            R            S</span></span>
-<span><span class="co">#&gt; 6          S         R            R          S            S            S</span></span>
+<span><span class="co">#&gt; 1          I         S            S          S            S            R</span></span>
+<span><span class="co">#&gt; 2          I         S            R          R            S            S</span></span>
+<span><span class="co">#&gt; 3          R         I            R          R            S            I</span></span>
+<span><span class="co">#&gt; 4          R         R            S          S            R            I</span></span>
+<span><span class="co">#&gt; 5          R         R            I          S            R            I</span></span>
+<span><span class="co">#&gt; 6          R         R            R          S            R            S</span></span>
 <span><span class="co">#&gt;   kanamycin</span></span>
-<span><span class="co">#&gt; 1         R</span></span>
-<span><span class="co">#&gt; 2         I</span></span>
-<span><span class="co">#&gt; 3         I</span></span>
+<span><span class="co">#&gt; 1         S</span></span>
+<span><span class="co">#&gt; 2         S</span></span>
+<span><span class="co">#&gt; 3         R</span></span>
 <span><span class="co">#&gt; 4         I</span></span>
-<span><span class="co">#&gt; 5         S</span></span>
-<span><span class="co">#&gt; 6         R</span></span></code></pre></div>
+<span><span class="co">#&gt; 5         I</span></span>
+<span><span class="co">#&gt; 6         I</span></span></code></pre></div>
 <p>We can now add the interpretation of MDR-TB to our data set. You can
 use:</p>
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
@@ -455,40 +455,40 @@ Unique: 5</p>
 <tr class="odd">
 <td align="left">1</td>
 <td align="left">Mono-resistant</td>
-<td align="right">3255</td>
-<td align="right">65.10%</td>
-<td align="right">3255</td>
-<td align="right">65.10%</td>
+<td align="right">3232</td>
+<td align="right">64.64%</td>
+<td align="right">3232</td>
+<td align="right">64.64%</td>
 </tr>
 <tr class="even">
 <td align="left">2</td>
 <td align="left">Negative</td>
-<td align="right">961</td>
-<td align="right">19.22%</td>
-<td align="right">4216</td>
-<td align="right">84.32%</td>
+<td align="right">991</td>
+<td align="right">19.82%</td>
+<td align="right">4223</td>
+<td align="right">84.46%</td>
 </tr>
 <tr class="odd">
 <td align="left">3</td>
 <td align="left">Multi-drug-resistant</td>
-<td align="right">454</td>
-<td align="right">9.08%</td>
-<td align="right">4670</td>
-<td align="right">93.40%</td>
+<td align="right">441</td>
+<td align="right">8.82%</td>
+<td align="right">4664</td>
+<td align="right">93.28%</td>
 </tr>
 <tr class="even">
 <td align="left">4</td>
 <td align="left">Poly-resistant</td>
-<td align="right">245</td>
-<td align="right">4.90%</td>
-<td align="right">4915</td>
-<td align="right">98.30%</td>
+<td align="right">246</td>
+<td align="right">4.92%</td>
+<td align="right">4910</td>
+<td align="right">98.20%</td>
 </tr>
 <tr class="odd">
 <td align="left">5</td>
 <td align="left">Extensively drug-resistant</td>
-<td align="right">85</td>
-<td align="right">1.70%</td>
+<td align="right">90</td>
+<td align="right">1.80%</td>
 <td align="right">5000</td>
 <td align="right">100.00%</td>
 </tr>
diff --git a/articles/PCA.html b/articles/PCA.html
index f46ad1c2..80763886 100644
--- a/articles/PCA.html
+++ b/articles/PCA.html
@@ -39,7 +39,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/PCA_files/figure-html/unnamed-chunk-6-1.png b/articles/PCA_files/figure-html/unnamed-chunk-6-1.png
index a5668a59fb722cb49aee6d412639aba7dbc8b987..d3186e8700e48aeb9491042fbbc6800ba1469a3d 100644
GIT binary patch
delta 67666
zcmYg%WmJ^W+V%`JbVv#eC?Fv<AdPe?N=Zow2m;a}9S<oWB@)sMCEY0q3?L=l4MTT#
zf1~F;XMJn!U+`o0-Pd#7*N$Ap3|q!5d;AfYH+Cd5zq{8s@BRFCx8&>Buf%AtzJX#m
z90joOC(+O$YuM)2JLu>gOfOQRo}rtYRIvwgnvhzD)0+#iAcJiXRH5O4T~Z7oDVWpn
zzBz+ti2{$@+*<RI-aSj#g@NO$`iA=Yf_hiJMLj!UA-LC3hC0awLWp(7xUgl#oHqja
zj==A1RC`_xk6o5N+E?&@g#Djm68RqE{LRi4LHI=@m*b8W5;t7?isM!6L@UG9%canF
zk-OpUHx0z&6j>^zt{K{v3=H)n!AQEm=mT)d2%2^&$oormTqyQlf2e@Sm6l`1faGB8
zpauQVX@7l6duZ}!ylGhJ#DgQ?c2l*9XyX?Cfl}30St5UyT*tP3SMSj^OBXF#|97c5
z^=Suu{<lQOfR}+GKPPTQ+}DzzqY$FTNVy?bz1h+C3`>xg+-fIDvkR?l8-}Ov_9+DU
zk|rF@8Dj+{-@KtuyGEHaDLWmN@Fdy4Kp0MhRxNS4Z<9PV(DVkrC&msmaR*^?KVEA1
zuidQ)aH^JDiw5yTQ<9QyIz1d(rA^H9`3n^f%GvYs?Pj7|)ec@C8{39PZld!%p^}VC
z_dHAVHOX;5YtY0ijQwL~HOqF1M`9%PJ0ES;ulb_|VmfM*BSHutRn`C#qm;TWW0m2E
zk~7RkO-CjHU*L-GCq|>r;+ZWnZ8-cxfV^JR6<Bs?VXIYi3?chWYPmCWQzk4K_C-9w
zB5MgEjXP@EODaN=2{a%y+B!o{oX5kOa@+e1?~cZ+IBSbCe=zrb_%6l=wRNNKk7f0c
zqM9%jL-JIbQnm%oJrcqeLNFKA<ZU8eAX6|-_h}C207EQ1t;hS1{}=bHcvRdCc04|C
zJEujCabgC9`bRi%boiLQ#hIq=+?Y;L6@JWyCYDiBv*b1&P|p%!VIYj>M)J$Vk5?6d
zMQu%ttxVf(J!x$Wo(uOcbPYnfHQaO4cnc}U$I5Ke+Mfl<U4vqF_}fd>0z4>A+5n_D
zK4qgOT#7{ff$&hLY>ME?F$QKBJE9P?^UHC@qy158sk9KI0a>imy9{O!spP=M-nip&
zUul0yF@MrMsfw55vyDfTa`d{hLIm>Jt_(vbkrCN;l|v^F<hZd-Vu~O|Fr~9#m@(x6
z5!O1$QRO4})wAxJRBoBuV0o|ec%a3fQnK6p^Z&xnnn~3nc9StVqy$~yB9}WM&8@w=
z>S6QNCb^Qjpth)eS96<BL()0sXk=)@UTI2D1>k6~WZ%7y%(X23@LCBhHC*#B1<yIx
zIB=RmHCfWg8?lLTn(X(E%JkXSOF<)vjRb-cJPdi&K2nKk$x;wN=a1y6%Z^e6G6F5?
z$_OkN2b!A&TUk9M%$!I|oLPqzitYY**i}NxSv?|Bt-omC?0l<H^2WpDwAEmAi}+e0
z-M9cc){PFOk)rxwD)#DY>&v>+;DhmgfumbVqb$Yte7Fke97CsyVr#Fq=Gj2#1=s%-
zxPRH=n{XsBZ-|C~e)b78W}&N|XUFmPwETHEuH`AIkmWskM_31cJmGVb^7U6>F)m}c
za=6BUWFz*SbD5EE)2?nyW;)t+jJ4P>p%>^E`jrh0xKTnV-A|5_xXNz?t)AQhoJ;Q2
zkZOrJhGt8XG7%c`qpjCBYs1eP^Hot$q}y+=-KJ|mS-7@hICXk<=Wr!vd;aJaPMu<z
z9BlMRW9q}3N*XZ(lX+?WpD8$}baU^$`j?nlMj<Y#w!WVji{en(JqZ^Yf~4^&x!`E*
zn=&kn`F)a*!%UDJ?)3Ad<+!5S+J~4w<dd)}n#7PI{?7>{h*%_^4dMyYv&wS4W_$<e
zF6ctbKmSCE<#|Fz3E{cESuM@{uD=9Z#FEN1Q_)lDCF`+f@jtl_o>7~MLVR9>zJHf7
zdxq$v6xRf`G{B`LF7Weq89Lc$`)F%OBd5@}yi~P9CW?RV+P_YI3yD60lMizWgC$0A
z>8rmS@Wz_Xbib}xap-<hNYtilX5bF2rY$50JDDYSzfe^p$Pej@u;R4MOgkB}`2!Kk
zBZECWS(&sNErB+ibv+3$wrUSKA^7>b{3*k5q5MY0HVy&v&+=E;IIV**1TYFOm4J6>
zcoGEtEm~d+Lh25@_8b_U(qr{07vjec*^zkvt8p4o4)LtHF<HBG9dKK8?ugUDfY06{
z%Xn~lpsJGjb>RvZsWgtYCZ%)WvZq>$OhYcvy`C(XXmu6G65reJ@?@DIbiT*4e7tra
zg7*i!i}p-X1#R44S3%7`+mR=2X-teU>3B=72I`n8mXMOIDd`Q7&$jE68}Dqtfs@aM
z`0m&Eo7avM502ta0g+23FUpqQZY<8LpgM%Y@36EGR{B?bX(zJQwi<nitPM@9F3^Zm
zDI4@{aP*1MJ8fqlE=O@oS5oFkXH>B(GinG@d}l|6*XrSM(c6=1`#!=B7kPS&R}mVs
z*g{zTCdgAPor_0xO2)^zvR;(`O$4g9FCW*HK2-x6{d8fhMi3+I@WBhvrGFusIFUX+
zt#7ER0qzY(9fX8jNopfwp2&EpeCWV|WY_?=#f6IGFn;AMCa}k%b^Pe@!Rz#9{EBPo
z(|II4q?c#)=}jl*9F`?po`R$+NE2y_DCJ%H(VxH@2R6V|euClB+~5T-y_Sxh`Jg^<
z{}LF=GlxzQb;(IzPqJFPPSYu6K=WZ;QwZ{cmiMyR`Eluuk26y+qc8p<M9MUr1fT{1
z*&>vEFu2u=bvU@`q#z!=KCH^sG5ubBz+`co`ASxSRCOWA&MB){k)AoS-DAjgYWH%x
zJw}%pH-qos*V_|kRY9837KD`9xB7;8SwPhg<5teC5oe1I7QMfn9(!*5zfxH=uhRWv
z>I)bJp0JvOnh~s$f?&f4T6XlvnjQ&X6JIIaNbLA`7>7bZJH}id)Iz!EXE6*LsnqO9
z*AqtL?MK~Mh&HpgRhSzlJTXG#R8beWNNj9E^mU&>;B#17?tP3fZUwNas)f0#6{{U*
z1~rvz54?U3mWUzU>xS7YeUp|^M_@EC>A#$9Vw!a=_qlP&N81uT&f0ahYO3`f<z)%~
z<+{UDO3qw`m=>rjdM!I8)Gj-;t(*K+DEvp%lPChl?fmM}U_as}f!yRd3nuSTEjF?p
zN=(&-gvz?d45Nke2fG0O4;pwQi3knEj{FIB*25e>%3Vh>j-(Hn^J7x*T!pPMkRj+6
zGtcsKJw%E#AU=+v>3?;EPt=aR=gD)BccSjVBG&E#W4Lakx=vEHHYB)#W?|D2Sc7T7
z`b1tfT?!&U)Bub|+F9)@wV#xSzle>=8Vnz`LaDw2NF992X7CO17J#*-$ler;!(}j-
zjwz0J${lcpSJYff-wKbs2%!8J>{N(X`XStYK?^fKoMbmOM2FtCv)wDMJL=cImP}X<
zzQ)73ZtLawv&TbS*9UcBL(7G}h5Vy(q(kxyJ6Z32sNCtv_Y9J=YqH1%ETIeWEa(xL
z6SzKrK7m0sv8?Q+QD)zQk=*5T?yEmw!araEv}(2Ng)WgR4EbrUQ=641Ax|h?)5nWO
zAo&%^8ev#N_J>b<V*&)F=LC?n7%eSuGubW8<N@}`zygXq09yx_KPqbfT>5{xl#zo%
zRo&kr-W&CT32SE7LCtM$CbZxifUb@<`8Tl;#f8<%tQ~qTT5~J*(RZ*N!DUD%$1xo`
z-L|2@DfEC@`f}^8mVSDW>B~tQM_q8Q75EPON~O#~MYYp!{+YV5-r#Y@)+-%1Y7Ps!
zG>6m;^gb6hEKH?8@F(bz<a@W_FXRgu)y{^nugk(;GOm#B5e>Fx6YI(`0Jq1%Np;Xv
zZtUW4gQC??g-jj#FP9k;Vw}Q5^P#cMHLWWY7XuE&&ZW}n3Cvfw;y<%#$0t@Ebo`Lk
zOAawAm2sH&7$S1>&mHEl)GcAX$_>$D=EQ}U<d?NaSYdh$;GT05ppZy7179!jFb1;D
zoHv7OBJ2c%JyS2m6`JJ$B8pYdiOcYHwY#<r{%=NMWK@OAD<#J4UhyJxqmT4>a99D`
z^JbN%NkaL!Oa3xJdja{chP<YX<P7>Zt&f!JsYg4$zEsRB6qRfwx(dh)7GRC-cqQ;0
z3r`T;nIn%8_Wl{7r;VlNJDCk*hN!P|JAa%ryx>7utG5C<5Uc609Y=3Ne>ETcAvF3t
z$D{P6agjR13)igZQ?>1wGL9qw7BQ4g2|l&SO}j!WKQq%%d%JnGF4629SFKQv<}(;?
zm$9tCu>VHjXx=8^Sj4z!C03{u{i2KOR+2q088j+gKmO_uc|{$L*k<?1ycrSgOuwwE
z-lR`A<yz<tpbb9V6;4jBYmcb#Z#2ieeueH;=)R+Zz|H~@92;W3!?gW;#mNK4g&3#p
zRp#N_C%i3~HX3Rp<_P$*Dq}vx{9iN!^Pyr>N_g+~AcobM`M_molF4zLHu;UvQzt#-
z6Qpf8OYNgrUu!I8TEZ)#gVJCnI=W4g2&gTfC}TzbNmrCs@O>gF`N4AZ`BNFLCGlCV
zhm~eyJF0rgX}D#Mt1Rc&O@vn>xh&HIDzY@Mb!e))a2Qsl*t3g6RPao77qhgscf~up
z<68o$V^{^s-kl5umK&dV&DU!Pyuchxvb9RKwY$Yoxk8lm(8x`aef}<|CrK>d1QbXD
zIW9=GL8XjS9xHbNW}RxwF`k$C&1e?I0|{cDXWa50uTWE4T1Bf^cPumZ59qu<iGO=A
znl9=uUd4|eVy!Ff3^8Xrl2K{VS78-;0wsE3^591k(JO9M1!Anwn)_0wCFeF7_PSpW
zm~}|ziL$nAn0)l>299e=nIzn8>iGbF&lj5rrtH_m2U+pL#^0s~*XJu|HnkM1!;AAg
z$vCRiPNwCDw?nAtf45)iUJKG&ia1gTIy59(@HN`?%p`Yq27ZB^=vNEZLEdLB)N-lj
zqq~jDHs#U>;mv%uag*`I-a{FXg-$YyDMcJu-fBTMOXD|qF8G4@2==+p+W<)J2syTW
zp}>OOD)cznV<mdo?(`NpStF4CY{1KFfZvK5S|8*o@jhzACXTeScav)YF&|dV%>76F
zq@JkVYYeSE!uGMDUa4m@`5!%aPkeQ?)HuzM(nB)A?2JMzT}ISh)tYA3n5&u}E)6^=
zmg0}56r-2T+)Bk_9L}XiR0G$j>O5(0?eh(IHLO{~shUsf)*G^K6D3*We9@szEo+a0
z3{=n%<X_kvPA&k8&NY0Fz7zPOD}jmm(|d-=YsNZ3li!{w<G__3r(1fyq+s5}S7vLy
zi2<Q#nqN7CE1t5}W_nqCC)L4AwW#t=^Q9-*>jtgnG}M0^dMgCHu(69ikBs=0ZWJ^2
zZnFO~jdLlIMRQQi%G&l<=+D6NPzu57gyt#L5vkht*BdYB$#-N5X~ryMuR54RGwBC7
zX30`uN8VbF&^gQ^kU85%unof@0o^}$%R?CI{thdXprHi5Q=V|7c${g}S>@(TX>D(b
z;nT%B6c_@q0&3oM@2)ti;(yaKaN{%yycS3<66hvmdC}|o)PzDL=SYkjUGp<Za<_^)
z&7RC&Mvld>E+zIljAAn_)Z$|w<?+XI7M(@$4-+L3fA%ec&f*`3)KA#=dxWn}iQbB$
zzPc-P^TI<;O30T3LYY0ps~XfY6eR`+b{u=nS4UR>;f;;PGhZC)t)yb?1tS!EP~`Kr
z07yNCY6T=~0tj3gWT}Yp<}vS#;_E*mq~L^TH3MU6AB_wLuhHm6OF`B6Pw6Y}A^(MS
z#2sQ;YWB^P7b46Kmfw(f$39i%<pxUXN>aof#4J|{EUrmm)`~6PcrChpNlEvdHGu(E
z&-WkZa4ZX9DvWWUVussQB7Tx!{g+X&)L^S%jr}30fg$W@9``(Q?!4GODxxlZ7VUmY
z;6k6^Ezz@<;e{6zn5PdJ``=i7>(~mJdp*1KSyz=5OMtmpaty=|H(yhUl-+j{qI`on
z>iR7#A&M!2fYWyNbBaQv>`)ZlS~Ea2`#%0EA5PSYeIP3TG{@Ilav!}IWf|X6!~G);
z)-y51|4s$tQC@1ybI8sW1~O8rraahSLG#8QWq1ee^cCO=+WunobXzhmqD<ujysboL
zhPEh3nRQx}heskDky{WbzRBhoy&NwceQx}g&qk5j0*wOI(#HV`md7uON!dn77RAX9
z-<<vG(CTt&$0AnHyN;wl&fOW931IT`5AqDjjs(AN{1S4M(HD_svEM1#Oc@(ZC0E)#
zS9ws;%6fHm%A`9Z8`D)FzhM#h=QF{qvIQ+{Uj}*K>$pnBDhe_YJ>FEj3neR~+-Q_E
zz&KR_X?ZngJD36;od4_Kyy5aKw@@R(pI_Ts4nClAM$(Y{Z`XL=g+&!zr&DT<ImI_>
z1|OMTtb4do;Q#4~o2GEN_?FEA)ZI?*esAMiUG3vcS_-$20_IJg7H#S?Y>AEnUy<fA
z9eUjrp<>}E&kyZau(zC?Uq1##={k|Dyd}B-eskSQwGhM&>f-sxCJ?=+J5e4@Z>mqX
z2|kyeaw_oat8eJj3;1dN;f!v~IWgoCp*xqC(EgfrH1{uTtg)?7@x*?zE=msu1bV7t
zGIk|NZ})amNEhP5aI7cMXYn%jUXWg<d4RYqsD76Jf5;J)r4YBwu46!jtD6-S#K1*q
znHtg<ss_a&W%j!A2T8?L`<=3vb@ue9HAFr2K{uZqOmNh==A=J;)1i-Vm)p!Mnf+4j
zz6qaMPD6`6_tEqDraQr$Z)4&2i9NOvYu$O++|*qFb9L<NQzHi%*)nZXp3GZNvu7UP
z1{?gxN{OiWPcXB;I41B5JSrGt?vzFC7;2))R4{K7*dgClbLw3zExzu9f78wp#^ML~
zR;NvoYcL51B%$~EmEghm*ch7{h!8=ysn`$xQ+k0JKS(!PZ{XBnzi@kh>ok37Ux&eT
zF<moOMr{bZ2q!5<nW-?B#gKB?dllWI4EoPVZuX_VVx0m?3FnG_pUFoJK_1WSwOZSo
z`=GjfG$#NR(FzFL)>mns<9SDWL%_Z8pcYyFMRau|svM|5FHL@LXc^f!*nD^cV?*!L
z{8|%zuKb&~Q{}<7NxbkJg-8(oCgkN$1LnlJ?5=CKZ_~ahf(>@xMP9#?p3Xy6aTyUq
zyzun+sRZ!(h+?DSgN;qJZ1sQ0MMw5tg`g`s3c-MoOo(F)W%8<_=!%M&+awEqeK?4|
zx(<i5^Yd!tYpQJl={F<9ObgI<{R<rX<hLb>*e!QRdVEX4dPAL;;D*E}7XqVVCZr|v
zcI~M7@HfZ=gsFW$#!CS}{fkE2OU#lzb-;jp6TW%$<u!HX6oH7~kN|>>D%D(D?~IDs
zXla5h{oJZZEmN|9AfC+Ro?4Lg<>~S}s%n(?e%YDa=-|P<Rqr93f-~4}dNSWg0??CA
zc+>maAd}GnOs*>FKJ8-4qSXTLmRlcN!&?fjy(gPCbMLR0=a%R&DQiw0{AA>2frGbH
z!A0*HuPBhRzOR^L5`~@C6dUP+hNAr2$p_Q?9NGT_&!1^fKbD}jN&lWbKE7Gg%SQjR
zhgH$s=i9VJ#dKZ*ebt)6yl638^id9iI{@y#hka!m-6X)$Ul_`q*`%RDck=mNdRRg(
z4@-YAg`h3ETZHO3C{bR>iB^8d5YWWiyF>MLiI|jNsgFou?07%d=IUZLwnD995qY*#
zZBX&)!%FjkJGuPpzb^b@K31T~`7$5he!u8#B_VY45PO-%yA{W_b3EB5V{`iXV7(Sw
zs@k+eb!N}d-BrJ&phhnHcpf`&F|QcKFOO-Den8(i`VrEEHY>uxNDT!nUKz(EHG)8o
zKrdvaGy*-R6p2hj+|Va!mmTUKtB^%J#G+Ze^FE5OP-=Pd#8zb^racC6%~O^?H9_>=
zYu7LUjy|ekUkkZ)M>6GEV%&Wd1#UT2Pv5HQp_`+Hnd}aL?r9s2v%Jcoy(_w)L2y0(
zNe0}mLZZp!#-4Oznn3cnMb-F^dfN@Nnjz+vBsSsp!(wi1e^s(+<wrGOIr(d|H>z(x
z{vFEM0#E-0zxSpJO=ntj#k*9t6C?2DRs9eH^P>dx{Gv8|9Hl&eV#VQQ_pZMx!2k8q
ziCcp}_&RyZPr?|EB2Ifr^@prNB>0iW-*(15FDV4otddo;U8yrhbQeDfMBcGpDN*~0
z_EnTor`#6r_R`ij2Uue6U|6y!rsIXB2`)A0jvspl{G&-*2eX<_i;qgE8)LS%CTZi6
zfHW89<cS=;D%^Ti+i3+Gt$6k1>MJOz=-swn=`GyrsDOZJT8!Yif2f5WxWCPdQZMY%
zQI}u`&5NiGvkvbo#<@QX17FKNU15`6j;hlCdiJN&Ibya_23$4n`mvaD&V4<VUBO-l
z_m?|dpk0>o9qw`ZmoaxzH`<Ek-~!+o5WS~XL8os3xjTigwT_*)%Bjql5Mta1g;sfi
z))q#butmrmll&&6b_r4R*z=jn64$!9I(ngB>xUT($^Khn5nUzc=)(ea-n<8*9R^jI
zkFaUPQ9Fkw-5rxm-1t~2C9ISX`+dEJ6pL8z_bc9Y8be}gx*WQ4SKaiMOD?~FNP4lo
zq0~Wb!1T-+r2KUok9|DmGaO$d=xsd<BidE^Z!t_uUf5KP${qEL{>2yv!Dua6O<gGN
znNI-8_Ih<iiw_s41=gKye9##D4D1YJZn0ds&YLG0jYLeT*5c~m8l1NQb{0b>C^UzH
zp;ESDix{=l>ia8h)|5i^SOBzW2yC+^EJjM38GD>YzoDyr%r-EwiKi!VP+8_-sz8Xi
zH~M`x0n_qv;AzAmHFYPp=b+g+mzSctMY;X{HT}9WR%FEt0abcll+9%tLjG)00!H%D
zBt9!j{HnQXTwA^;R-J_{M>$E<b?=wxUY*HMSNP7B!Q;spYsdrw@UNSsd%O(>U`tLZ
zVekB}^n7Cw=@6xUSkqSAy{!-5HkKkc^I^nuRjmtbUr*n;$Ih%`n68*t_RDi6`<R`$
zd#f`10YyfKgh+ZUS~MwVR|i24ERK0HE-&+t4wT8TVT)vzEOZ@h{WotRKTP5LD40sf
zj@(wPm>!f?Fb5n%tz>u>^7*U^zS+FMlKYYZjmQzKE&F8zENE!3VgHeGui*%h-RR8R
zW@BU-47QTcqPW*D<W+eDV-)^qTSwTbwLiq!(aC9>f^}f?wjMkjQRWhuxk1T??wXv_
zggXflqB=>tbdj_afYJQv_rDrr-kLKUe^wg)uO6g<j|mN@;fYBli7z2EY{dn%eNz_I
zh2yWJHsvAJ>KXTeS?^BOQcKkJ8X{-L?YjjfQryOz<$TP!zB~;_5*|FciqyYXl79O{
zzDJZ~k|=AjxJ9=69$Rr(BC}hb2%{<JFe2S(z!2|O#9^$;Rc5g-rC+gc1WydwA&)my
zh<x%Pki|Jqa6|0&BkItLunrMv1wHUYLQcHx&M+v9{LS?IX8iWi=$S^Ly<%ZePC{4P
z1Q4MI7b-Jm57%CV($BcW+}Uc@+~FW{d791Be%HOfp&*^)D|v`Zbl!~!NC-?e2Xl`c
zM^%!q5!FJ=B)YjX)dqMvX)CpfF{03Xh%pQSi;o|Fx;E_AyxDKM-ZOrgFA8G8_McN=
z9&X%wpqdW3rR$Xl$}|)B9xHSG8gAx$CzgGOdFM<Oy{MjWuX^MjMu_1peDJu+i@e|t
z|C4l&!zCJG3EI+3p#$EFKtagZT3RjL4CGd#ys0Z8rdXq7&ibP|$kXqw?uSHZ#wm{h
zx;=l`4r|ws3<31ial+0%Np13M_Ljmwl-tg-zxPSp(>IH=hO^>Gkj}WIyL-AV^LsI9
z<WJX)KZ*I;G3;x~!nMUQa6X8HjP9?m*W2<B9rL~SXL>($oEDMCZRL9;FO(bfIPCKu
zGq@wYJt5jzW?ArBPlwCr4`s;RCS7tOz!f#yhy2{?@E9Zd%~DS}>FJR|Ex86M16hfB
zWfj8`BVQIiCS+n4=<kZZtvTpaAzHRy_5xo335wTK0oKbd8>>kXRM+-JuS}Yv`XMEe
zP$%DH-_rL**55FWpnmJH_ZQveCeM6xVbWd?7BKH>5pG=IEz<svt=PZq$c6R+TI5yW
z@iY(J#vy#MWwtVUqx5UAC)NcEGl)4<6h<mE<iu=LHUAN_|B}CPotTOeU!b*-STo^%
zHp;|IA6M>CDYyyy2FDHOSb^TDNlka#1C%q`ynyPuu3!#>dNQP)(|W%c`9<oo5MH^~
zv$nA5?vn3sPKefzMUYz_*ggRERu3_4ILXZYJ00ubkepYbDJ>KUD1`C!jA@^ML8!H4
zzrsI=b0Gsm;sPimsSEZM!S{cQnMt#N<t$itABeXS?Sk@Pw9L%PTq>1AUBVBtSsk1{
zl0w=dU)0C?PF7~)7aP>fyDgh~Lw#V)=e6hP5#?>~OD4oND4_c;2S6<v*y?TU>U&xR
zvX(qe=VTJj{rWZ{>xiOAsMv)ke7+y^fCZg>`p22cR&l<6)_31{VK|3v?sDo4AiOA%
z?<zS;FaYjX>gSE!Dp<cbg=WwUgX{T`9GG?w^^eT%uSouZTt#@fL*|>c38A`Fi`#g|
zlpb$4U17dOcPT(O_o?^yxlhFUU$hqN^}PY&gOcHXzGnT`!&BBTKPYfO251}ZtVnF0
zW8RQ0s}F@-R_KNe72WxUy38k}#ed<FpA{!36<&~6*7-@zSZ5gcVw8IQMzN8VaLseE
zgDU#c8fnn$+G+x$Xx0Xu8~gjjbT~10WMmN}e8IU91Cs)eo6*JE=_kg8NiJyCdiI$S
z5meFF>d2XLCoIna`OIb}+xC!MR}iJi$uww^x^6sj*}4IGq!~WxQwUuMcA*_hfF~MU
zPn{?H81=sv<RRHJA8{Smi*O%Zv3bQ1d{H!-w-!jMoG>^)?*l@rBnuRG(xk1s1Ijt-
zp!8%>SHN~HQgqJ(+B7ux_4C^1S>x*JaFzSeh$;YqO~?js6T#1>=Lc|N-HCQ1Td!H{
zvFp;a^z04Q33r1*#j2N&KG{TjeoR#j%;{a4Yq=-fn1U}&U6zpm1K@##T+k=b6)3OL
znU=s$KtM23U;@5dj)-sHmW{%6F~l@m2&;MsjE^Plg%L#koPO@SB0r7OliF2Y*83@G
zd!Tl;M8HGy>2PpqUz6ST4?Z^$Z91{FkBZx~^-3~{0_j8_8|KJ=cHr7De`DwSWKoG#
zS!{hz%2#EXH?#&$q$YSx&HV8~w(S$a{?xI{;DP_=o+|SA-=4}SwkMNs?uFJ{J$*gF
zY{1x{BjoHOjr+dotKZ%Q4{i!D%Ei?wn5#4sb&keC8yItm?6?bi-vX~J$h<AgN1$Tq
zf1=7JYB<uUY84tp7<v^lx3WH5T&kTvW!MnBRBfia_>FsL%-2}`6NkE`y4CwTr(xMV
zGs!#4cxz14Gv4TZ5BeiVw7g<TJIuWa_#MD+BHE^2cM&mvZ}tx%U|&|{M?MWIz?jQ~
z-l>qTv{KOqbNOo_A4ljS5m9J{eR7-Iv<lS_8=qC(Q?n=S>uS^-Gn1$6a#e?OffZQD
zD5}GANW#YDI_XwwWch>8<LAt<a|vIk?q&&1s)httUzYdlyO_ObTHwxT(yucB4~`*v
zI8qO?lRUWpJlr071h#)5Z?Ql!3Dt?VpFgBJ6khT6w4tA|3c*9R|LsrQf6fwE80m7&
z$*z0OCOr{xRM8U8n~Dt#jXG(D1IxpdyB3A+SgVmfNe0dH16LW4_3m(<md3_LZ_$RI
zHyt!~J0w%5=gs$xCVR6#RRFXGww#*BmqSU9-y2}*Ux(?&9ke~Fqo=*L2y>E1nd)Tn
zH|ZqC9phwwG=gC%ajfHBLoRYwiS|2{`I}G1pO5GP&a%2ym=~uA>*Sk~YcyE2`?h2;
zqz0y>&f5fg$|F_C@}O?PJ2KLy^ECD#C2x=9d`q*YghrVAIg1x{cPKCxLF&MYcunO>
zyeasKi>m3hEX!6~?$;E>X1brb_gUQT5s9kGGxhn3dTQ)z2dl$@m$Rq4^=&0>jxZG&
zO>kJ3*pnYs(B{;YjWiUoOj+O*R^!}8L!L(3M5n1U5U&uGSTUjknC?diazXg+FFHL1
zr5e*06m%wVzI9UUJ_B~RJ)n!_+2zjPji)Ed1+sR3mqzP|igiT8YV4P~a@Uzir3S9)
zQ%%*S7R%dbh**MC0v*~*d8UDka!hJ<KW{OXa88jSayq3X&>N|{$t6;wMX@~_G>(*m
zmq{QzhR!yVp%+|e&l1O!k1%xHqCAs9cs()92oXM0zN#sKWq{NO!|Vv}8w)}iyW@Oi
zBGF(a^H-Qu%MvbYk7O|UYCs5UsfUufo?NYF<exz(N!rSFnzn7$MmdEbYRelNQKbEs
zeQH=vZxP8T>Rf%B?qMV64kg(-v}x6)-+F$0%VdFJ4$X5W_QEd;Lb?)L<LBG>L3e)p
znL`fP2Gh|1<=`tp-w#MmJb%fbw)sW(DAowY5)|fDAjX=OEwwKjy$c<%-(f(irb%;3
zkG-L+3Jo;c<KaQvwAb$$5{NqL)B<Z6e${Zkpm6dGE4t^BXOaMi=w3suCbS2SU4I+9
zq&^YWz2>g*qVGMQkDNSAChf<uHmo(enTx?V2bh3ZZ~xGxv@bu24iE9q(jsI5wI-v9
z@6jBO+!L;ah!T|h>F>l}flePHG*|E>{c}eBJ%zF;&M}_KUSv+zOz39CyheTLG+tJg
zf?STh0g(XWS?$tyjSj>Zq*xyFF)Ag6Ld)R_>>!tU_oKDuo7FHq!m5aDfdLV#_8bEP
zA6CF9{U)w-_Uxp#xzV5{kihVE%VZ?o=PKq)1ux6-MwS_VF#TO=?nKG1ko9_Mt<c@~
zX0Jm(bi%sz-|-ZsO9yR&?q>ys?`DsVdeUchYG&pOKyFK+l(kg7I>6P)_uSi?_0m{Z
z7fWrcRLZIK`fS?H*P_bvS=+67Et?H5aXtbT8+k|G$6DH2Yu2eR^WV*%WAWCg8+5A9
zM$J#Z64A=LlkB;c8UDHG8krr{kR8eei;)>}ikT*=U8WcravCnL&(}${Fvyj>9&)g9
zETOLd&Xc`+__Bdsc{J$O`5PWFSFLjoY$3Om$93|GQ!;`RkL8c$`&B#i2~ZfL2{sE5
zuoR>6QdIfeG(l`!>`<n}wu+Xvvz*jiWZK6X4XZddD{gp*dt0RTB;~*%rL1_5CJrWW
zyf7V^(a@|fvB;!lo5|rC@l*V@H*~YK^A<Z+J=%(6WT@Ww{)e(oe#5{iJoz>KALWaS
z$Z_SD+mCjyMaVHkimP8@N_{=^j>D1wpcvT!zI=IA<08fUn~$*nRJn}k7FLaCSC6l*
z^wm9$9gZAlMGWaSxa=A|-+&f7gsY;Kw{aKZLGBHNhRaE_E8nvaV=se%Hwsfcbw6?B
zi>3P1Uee=z1O~+Ran1S)Ry`MHLRGvAJeDa9Iqp3FZhurgVz+#b>ZIoj1vvoq{Mg#v
znwhgi!4FlW82SCNO1Ze7I$X(Yk=Bds-ekJ_B}Q*zO`20^pi&uv6TZpJbDJZY%2wvw
zeMJ1F)2H!rRSxLPBxZJG73w>j3C9BAtey|$5d@6<T(zC|U+tAQWDFIB&U`6-Q+*@4
zqN=b+AE*7sa}i@-Oi(dCtiu5qeLI`GD4Yg9H#7^0&YT+V3S~;XZ1ZWW`SF!>)~@rp
zfj#D$od?SScR2Aq$Fcx6d%8N_Ua8TYQG*fPi;Xboj)!w-C(n{aG0W6GUZdELCJKZ@
zN_W7HS@g1y;lqs=PHV5sns0v$j*hl}Z>rjyk9_ls^}P2PL2sHtU--j^fLU)>nb)Om
zQnDz$#-HwoHNS<9du{6W>c1xl6hG*6Xu`0cbM|y-Cm$#qQ6@dNwLF^g*v5I4s@vTf
z)Nm`q*8VZq`wPESk{T{;r@IZzMC^R_Ev?Jsr;_HoC-2-ph{?ltBc;>x_@A-7QmpI~
z7_)BJ#jv!BNcgbi+qdpNJ`HePev5j$9az6oJ#<~}Ci?qIr6Bov&5FsP%S)b`mHMHY
zZygkYeofwyoR?|LQJUve`}Sqak=34rhIXiV4WhPzT6~+A@N7yyyPcn^<a|xc>i_5w
zHlLKQ0U8>+P4McElA7(=@(mGMnVZVTSB=jv8$|)SC)zCH&C*5meOJIK9lN$quM&54
z*_akTUYt4}<Wurr=6untx#e!0^fOA{_71&<dJ`q3OoV5a%T$-1lZ~j`d-&dcsaVkS
z&E{r{9FB#gxuEN)oORSJLLKNbp7b12Sw;KtLKs(?Ld)N|gBde}r9QC4SU*JfRuFOp
zDZ#||MA21DP7uW~;N8ya#*~?v(yJ6W%>G+oncp-8rPE*FDYV&D&mAr9(d>onK?EhR
zUbewXo{S}QW<{aXK@mb7OgR*@K)|6&Jtkv)>3)uFPB8@CQ!4z4y!E(w4=2k(@3U>U
z!}j_4iL1^LmC|Lydk^{vO|RqRnerj|55Eqi(Yc#vdnJJTOS)jFfY{+LRcq&zS<hvG
z87jZqDf5X#R6`6HFT1~cgB<{s21~M8SUuZ=#>Jrn4+oMo+xRDTl%1R?qr}d5h{P`*
zmo_CyJib1g;rw;$f~RL^(06yO@?pPG(5y93{r)@2=Kv-LoJ=%T6*Y<Hwvne~2U-4F
z`gwosO4k9|7ge{?CU}?y(k5ZG^t*!MY|%`aeqT-&oUAkK<M|$b8}(_jA3wf3A)8n_
zZ#KVfoV&j%e=>LP7xnrbP22G_m8C}$R_k3`IaRc-YgmOESZLEuT@leQVOE1TMig`?
zO&VtGeqxuvXS*}mcZc-R!-ssa=UQ++?o7D9M~R4+>esW2@=0Y&#HQb=Sk-RG0#zOc
zbH`OR9<;8ry;6pW|9A=$%4!QWrJg6|fcocxL-bQ})zp`p_ouYCDOo9I&$$r}RYx~u
z%3E|G1<a9ZWp53N13zl12neYGJ~OWu#4&pIc2%`OoWPA~@nR>i!q1*l-o81+%kIbx
zs2KeUgSmQs%bGO^rxc~aix-N)jSZeq`+``=Xfl_XTX1q|BnlwyT4=dgSqQl_t`KAP
z+m%_N3!|%z)fM|i_bjG{yrc6LEu4O+a|J)0#n?=O!lYul=4<+{OHmo2B%3D8!+?$d
ztyP5j)6Lg#m8$W3jh6&3c^0fI3pn>0fc;xxB8gvG5~ri}z;6Avy!Taq$=i{Xj}`}i
z3JUb?dN>PpdwS-OSy3W?n$8=|iEKU|K0TW>Ioj@tZ)`3p#AAtZ$bEioy)3YBJzv?<
zMg-ivcmH|hWhk0PDb!S|sjZD{I@Q|#{oT+usocdzf%IUVoPFH()9q>L&Q-rCClKRB
zzb@GPb{T!=*YR(_h@eU0D$nEyLSIFHv>3cg8YST~)w!NhImc*t(Q39&uto>c(9RV;
z8T?4=vBCGwEu;L(4)8QTCTAC)|Ml}H`^kIca+Ih}lNXBUHac3Vh;KYgI$E1(ZaVE*
zU9}~7p%=8slv1Wv-pRQnJ@{x^43M^JES_spwh~i+xQUqo`VvVvu(^dByZ$k^P>Fqk
zNJCqD&|uBIX=?{R<&orNlX}`Z`>{`P+<w;c0oUi;s!dVL?oCI}bG#N@{UzBJ&i@*W
z;irx=UJ4$!Z$*wFdu}tMd+CF`5Rb0jUx^I1$wc`^cYAO55q2k~kS-AXL3c`|resgK
zhy-`zQi|Ky_zpu=e5gYIXt-$&w<_{1`NlOQTxNAXW~sC7?C1=yN$qq;g;KM2(0fGJ
z`QE2@%y0H~%YETWxS98BJ!?*NqwBQ8pl()gBW`RWD{raXwTFF`KxzBg8JxDt<Nj7)
z-lyRMzrE|d2N~+i{4+pWd@2~H&XzN(r@K9W0}oov{VLX(!1zY(&Qh<?wE*2>cOe^k
z3eN&ViRH;K@;_CZprfOu@Ip5xo)$1ieQG^BMMxWgI~Ys}8)tse29YSpyk;Af{FXWP
z?BvzFu<AQVyvgsS9zQ#yUu@|ds`u~0folLA$Xqw=P@@|176!y_XTZwsvSSKrHDbO1
zq3Ho8)t0Bg=<O}R1s#n3*i@E>RG#`-x6?D`BX7^EbuV5swrb>jc;dsi;8$2a<iZqv
z_z#Ced9Jy|dp*!)tZqxxaf?q=-fivJ3NCPJ<O-S%q}|f=zQGJYe&$1=+p;MXfNO@3
zqX;k@Ah_NDkb**Jechikd9|HMN)SfkU2!7YwGD0D@lQ6-+`@|WjvE$=r)YHo+zA31
zoGI7#_XYVr6{Yf9jl2J-y8|TYF)i^1OF=47_m#c%^^W7))W_bB2G6z%w*i;Mp!9~D
zRy>F+1UJUnsMQuu1R+Gz#Pi@S8)7e2y`40%Vvh$n+{>Z7h5=5UeUwBQEQQ*oO_<36
znH3dBnTgNLBUcy$rJK7%U~@s|`gx8mDpHAfyIk4&gKYK&8;*U`<zaRcBA9>nOlsrs
zq)a93omPi#FAia9Ib2orQ(86q(#~xTas!&Sc4#}W2cJ!399tQU?cID;T$j{#1CAW8
zFMa^ZcGtK0+mjxLxAviQQFLwS6Sfc+>ykM_uLEzznd&3NaYk#fGQB>Lu2;fdo2R&G
zSOT(XOEE{?wXVbws^D;Qn9QAsa)(M-{V{4Fw|*_N94mO{8#{iLGrKP%MfFbOEJ<aW
z!plmGnsy=|hqf{Q=tN;!ZH^(g@U%PH9M~S$$o5~?5D@)#xBK`z*a^j;*rA!DyBecO
z^Q#7h;x?mQJcsc(?m0HxvDxDvP{_m6g37(~Gu)cOaQ=7??inf@qxSOQHm4<2bK71>
z#@>B6BaGpB0?ub9pTM7cda&scCS-6;<9D_Qs^_%l)~wf_xX%vli^T4E!(G;mfs+|s
zBb9Ku-o)tR5;VFt*^1Kk4X=;k>345y`XT7FJqaePH$3k^W*}{}h49$U_Oo>K@2d5Q
z!?j%oDiy)q$Sp$L31`EKp>0p7*Fj5uj?(uvxu!JxR-6yJySwRN3p+c2|7TprN-vj=
z7rEPn?=-H65BRh>=+AXTND5~FP=F^%ADs9+5#NJ6@4Hm4-$QsLMkD3{9Y(I-GxR!i
z4N43;A#!=&i5SV(Xs6FN^dz1A_gZ`Fd>+nrokAoqs_~d(7M8z8-m;bmf&6jSytu{n
z-ZE5xM@!KJFdNBX&`(cTuanfO;S+5?13Y-8hy@;znZ}X8_0(1Oq${m301FAsRINal
zxfE<D?x08<X@*RTV2HIS&!TYs>!*N(iegQtCw3<Zc>2Zaez3I5iGJp8JH`fcuj}is
zC*CUSwm3<%3W3bIB#`Keyh!MRtA}trndaP#&n#D#>fD8hN57lowin66(*4`#4nhpN
zEI6G*-m9xy9dhe#-klJMn5h(efOjEeAZ@PnD5FgfjgL-$Ek^0&=}G8ywY}AFwxhsY
zRfRW`0^?t;L#qYiQWRqW2Q5;nkWx`NChknEs^Ae)(MF#Jw4u=wLoRXA{rN%21b7EL
z8+dqeXW-{ykf3;+H_|ePcpCl)8Z{1(n$U|icOA}!;q<4No!jl^*!lwHs_wYUuYDY)
zQ`!A;a8||Td+*6F{ScFPMCQo5%@_EcVl;p5_zs>R>3X+Uv(Zl9h3@XZTnr_IaWUHw
z7}1)1%iztnMf7H;MjaAQqdglL4tG~8Vz`WsdOsO>XTAhgoRf06-mMiJNEJONF-qUs
z+Tu2<;B_4tA9txz{{sg0ny>d76uKrhTGun~-VZK-t8wh<s!}1ReehcFk3`7)DGPl6
za}C}jtE|J)M8bK_gyv0_GNeuKvSifidHDuE5&|~|u^Ycz5g+}It{_PqT4XqgA4cI{
zf-a8kBeysCS6<O$rq_sbUtJRG+J@~AhI(DXij;)+e$h@xJ*4@)lNB+zINNriUfF?%
zYwL`}q_os$lyv<8?+dD;p@gS<mKaNa$WbCj)Ha<WlvUSPf3MYHL*p@{t4T@X+pstD
z5VZ1~Eb?3|v;$#|kyWWolEKc8&%dg%3xlb9mFRkv<``MzgFD-9>!@bi-ZRv^=Dudy
z+17FQl2Fco1AB)jhBbP=k#bVO@9l<tzJZ_-mV^w_l`(@Z`o594J%_idZiKaMjtjvW
zObpZK5un{k><z93?7`JEk_?H%&U8>JbQ2uTOt#jo1ag`BkVQiK<sWRz3i=Wx;gM%@
z_w$^6)X$<RDz_W2K+S_h*8pF&axrB0aWSIVqzT|lL#@ts%%V6UclbBo{w|zduLq1U
zW=f6GJ{p4VLJr?b6kwPf!)gSzjWWlt9UD+fZhTS$@2AX*TOzMwZ}?Xpw0GdZUOZ24
zoh+jD#W}l0?~u+x<zt(}z~}mA3L^<*C1S!az%M@`7e~t|jj4{)rT;L&G@k`@jsC_L
zIOl1-<@Wm!K-HOGBI7ptOJi0+S$3g0&>7M<q(I-8K7J(ySF-ZH*lXDLkwE;3V<+n9
zef2YPdB=OkrdDiRPgF)l06k8@_gL7-s@Hm%LcYu)9z4-@<>?sp$qF-!0-O%M721$!
z@khg<sPeCGKun>#k+1EhiE5q8sZ#m@KA39&<NdFzW1gt4Uj&>BzSg3nhG5#zM3_6_
zTHHooq0iF|Muafhr(seeD8d_gPrz0F;z<RUX=i|;tE?|GW}Lv4Fd6&}s*f087m){3
zhWaX3EGa&Kdy+=B<*hOmMoM>PxzG%4tfRFhcl}o|fci6?0Nt(GI8c-XwX_;}1J)|J
zS@BtzSlVu0e6SL@ILO6FH%2=br69Kc)|rgBJd0%Xg#dj}k#Os+MU@k)NU+*K#;H8(
z^Y1g*78B1XXi0Am*(LF$A5-jtt{ieS61SJQbWa{e3cVkB_7??&MbrHS^Mf&(g<93D
zIlPF*O0zzZssT~}!x(#L%DN!Sc^B{(p_!yRxyE%)U-z6ao!7tC=*<1$4kCA!pi`=!
zwzq#~FJkrpng7_r(1hWl=c<4eTc%r8t}Y5A9hzAmuy!_M2W)I)MK$SLc_*rGHN~-O
zcNFT29K9EntRa8ab7?Nr64dAesehPqy|{G0_x9eA(h>mh)6h;I_wGNDHvE`(FIGl!
zKxg_!I762c!Uc{)dd@kDnYuu#ADZ?D*0aDWzr9XKY^atq;GN>ln<W}mgRe;@C~|-C
zp}U}|;;KH!e#5=p$}~}9jJZ)op7BP@&1E(PQl-2qyTQaBIWN1(^jMhdIc3EfRi388
z4HX-LC*}{J8GXGJom`4r+}Mh}W>N4N_CUB^#Z-cgSA<Pn<mGHZz~r4#kqGW?lslRS
zZnxIWE=7h(tHX&K@I2kKa(bihSU5!XdGIwGef{&w$S;F_<Y`c%r#2X$a*1rjUs30x
zeR9c$pmYJ)cQ4jnFtBpFCOpeEqWeEx&vOj{VB7dt1>UO9LsyAMN|K!N)&RuK!!(!y
zTc$_n!K|R7ZS(Ef4r*)a<VuWj%yah!Y#+5O<V^E<lFodfPfDdd#L|^%qT3?@f8-zA
zDK?lwPcDuU(6ym?SG8rbKdz$~{Vq9!4e=K1y>GrdPnErW0q4f7CUO5$q6M$_B?2S?
z)89U~uk)@bMuViQG`&Q-LI=|fLW<BG(fFutsT~;{_`Zr16*4+|9DC6{EsV^rUk-H(
zbkxvMegHqLnXRy_d@YcluvJf}A~APSx9<rRCTaNE>GaqtQd*1l1==Tzb`snnRH{w~
z_lH0}eFKU01(2e5#5KSC=a*I>1RnX@r|fm2dUq__D&upy|0tdul!OmV8g8K-WBY2x
z&v|M68_-Q*5^hPsc~J)<0*YZ#Gqw%8#;+Ls)qJNrzSL1aO=EwZtenv2>04SGW(W(_
z7bYLY7%YUJs(7c3vpbK#?hLCFCZ3#m&qL<Hjs5x!1)!(63c67c0C&p#cdcibBVp~b
z7BnbQA*(p1NC-^=kk|r4WzXISEKQv|(G6zYJLQnWN9g!2%K{{Hz#iS-#%e(`Abp2+
zy6^od!p{~z5}+<_eDTvv#7!^QvteHxCx=Y8$4>M=<`|pe9ia;>WZCm-OHn<;k3;T(
zSkNfJBm;W@UBPNT!t@oEUUSHuE)N~$vKl!j&z*)9Nd;a1Tf-!QIP>aWDW(E~G^}-v
znSO{c{bh^#H4k4Cy5;sHm~!;hAgNR_`kdlG(U_JS;rIFHX)&28S=SDQkxhYX(ppfd
zY#)tSt#?iIpGMKAYnPl7$>C6<0`KMfS<~x3^0)7Rzbi`P*u??NryyDgfTAtvR3i!h
z-5Mh!`x6)d_nV^=#FGcA^OE^{avl(unMiE)W0X{#(sO4HxL`e5!xh7ck>7gHEV*Rk
zqPy#Y3c!=qK_8!N<RhI6VIBK@WT&GUCC43>n<4LRerng{Pm6|pKjpzF|2xVmF*IO`
zP}Y|Mb%{VVfAQ(HCoRsY<8Lc1nH=K(4YAgPW2`nBT6Vv>RxG~}*En#kE4RG0A)Xh(
zq+eQe>tolcQ)9Wa>oS8d7VjZetLrSw@LYGcgSM$2u=1BrDTJ0-2LcDrL`#kr|FE@3
zthWjz+<PVf6c-9$2~d1;D7YSgRTi_UUI!c-blu==Q6O5yUJq;kGhaa82i1)}suD`d
z1<jPL#*@ms{T0>!JK>ZsIqT@Ldcp6&H5j&7@3PAbdf8pP?W1q+#!Jk}ry_liJ?g-x
zGqFEjyAspwInTVe4h3y3E-eK347>fzU4K*YwnvHDcpeG^_R&VtuW;7*X{0_#defx@
zsh%q6d;)W%sU_Y0TSu^RZb=$t&K>@E#b)?MOKYq2*MBd8-5q;1(fQED8+ULx>MBFw
zLK)==Poz7NndwiXVv;sG)Wtk~xN0+qWRLCYNv!!BgckzrEZXbY!OYu;`-#0wltbhP
zz-JQXc&J-<5e3_~R!qfj8IURt)hytT$}c<`K1WH)P|pYs>pFc2(+jL-yp9XLD|{0A
z?*+oy|9Zh_LZ#ymp1UE$WvZ^rN9>j3c$8lp!Y3s6`cZccTF*}ZVOjQ%eW&=?<Q(Gs
zlG!tY+XUi#5t2~>gl=BbV?Z0#t?c6yY`iJ-#VYq}uzE1}Tl^PV+s!4n3K6A}%_c-m
zV9H+tpS=I6U|~YGUB2_8RWV@kME=67ViM@L{|gEB@)s02JQuZ32nQg`$p-lBz6!pa
zzNvl?KV_sC@?kHAWQN>E_iM?9LkGL&2PLWcb(V8AgTNuF#df=PBm0quTWM72*PvuS
z@j2`32}EM?WhZwNjT?v+axZFMIOFM=gY=&;p6`R*^V#<YB6XSk3jY4IwJ+Z;fh7a-
zJqG~|p@_wwWX9*L|0y4o#F`|h#?YNS23Gwg#Q>j7If?p9l?wUPJ{OZhl}cq8?9rMx
zfbFd9cg2+l%{bLot;IjVRrE${!t=r%rGuYg>;`Oo`1WKhZX}oG^eAZrm!c1S7`_*v
zM5kPUk>5U8O`11#aK(lw#q!QamuZvZCU|4`FE;p8r|yHARCo<s$m%(l<XOJffdA9m
zVi?n^S+?BLg(H24?ad{&(t!uUrBwYtPKK_QQ!aau1;;Io*rODPXm})_6N?&+%PsGQ
zN5Z|&Vht_#cR^QgZj!yQrVw}OjEA#Ng0>9?LD~~C2L?zTohp1TpR9DsfA4Bq6PWa{
zS{}n&a~G(2R77z9n=kk@DB9Kzs~_S+*o)R0l9`Qt4h4KY8g6G8u5aC=*YQI2k2q#M
zuzvky$M6hD!qGtAg-;}eoMW<YjJ%U8#<T^E;iTFGZEtGA2e7L9L$(?nhT0G$==HS!
z9NqyNO9ulc2rv{x08gjiRKxkdABHudR>F7q2MWjq*cq>3CleAsYv2vy2VxVk3e@aO
zAbOtA1*`HZpYViQXcIO?;8FWZoEX?O{UZFQ-=Jc;^GiU0C=Vq0{jO=tZo49t{z^*!
z_N+tMd`ws05#K&PF~8=H$o7~laY8Q>?7!NxzbBlgg3uoI9G7`8i@?HvjsHK-LH_=)
z6~;@}w7!dI0uXOkI6f>@p{9W+I#dRR^`G1^o>e{lsQL`HV1sU=lB+FM^F90TgP8xE
z9CKEN*%s5TU*L;}Wz`1E=-WJJJlx>6L-ejE5^d%Wj$~f_yP&Z~)>$yTgZb5|-~VIk
zE5M@YzPLB&R8YDE1r-TFO3FY*DPIt&1y(5~7m$uwLPAPJKw4i3>4v2jkdji6+yxd8
zkXk@uX}(!}|KIn`qtC;$Gjr#jb5H*6IWxkjbngF;A;%n7o0TtOX;xZ+x!yD??XR9+
z*XS+xowdya>;FEbWcuG*{4i~*iU==nmxha)=l@bn@$4dpZL^>J7@c8sc;<g?vF(%*
z)gegk@5rwt;m6QjiO8+a|E|8x0WiD{^>NA!&_idy3?StiKOGg;X}~Clb(b0Gp&6_U
zxF1|5$hn_zA=&HxBkwbt6Y!C1vtgKeh@ze{@kaCtx#Q&YA4kmln=O8V>w+kLl*@`C
zmnYrm1>GH04(G!W(DpfDpAd|Y%r4=Eemyb8@$M&U9Hn4^*kzPm?9qQhDD=h^@|#PO
z$k$Ipd@cg!)xasaEuD{-Xh@#}USgeCqtotb+XFl_{F_JTC9^vHPbP|*Zfo01d}YPT
z1(={$->iTIY~=ZHTrWyu@_wLsCLA_?yE@{u)#r3=)j<{WD>9Xci5Dg4*7@-X(;W?B
zhpJXY@9oqjnyTs(Je965iMb#33Lcz4^}n~z+-F#Wd~7Ga_}FEiox%MH`hP{Y4@CTq
zIqS^WMW=Wy_F$+uQ#+TygCF;HQc9Qm482lJb1dd|IygGm#)|(goTLj6dc(=!!&*Y`
zE&9}x_OR$jf2VsU*jXc&lBBgd9uvRzazrCwSbdM$9ca*tJ!*6s*;qER7>Rp6S7h3M
zt<3yCAynIKzW>pkDo=6>s{E1j=jO+)&S<UwjkfU!9L>Eh`oVjCs}YZ{-{5sc;$>4E
ztF^*Uk3X8Oofn;&EHan)e`8(7^$Tn0-(vp`+dUHo{O`pX0FBUna2%Ue?{0M?F8MY`
z39;`d5AN;wRGT{Si=M=pp76v83{_ej1c{w!{J&+qQ=(e)F$x?;DDZzH{T=8rp^;9g
zLX>c=ZsMW#TV`6Jfedg~k5Q^up8Bhn(2a5!g5^oOGROy-ua1Vm)dI*X_BoPU3d`d%
zb;<N2ZAHiu`vXVB|CBA#L-!=3;UGFLKkq>PSb@|>TygY<1yJ0fef###+J(!P1HYiZ
ztbd{T_BoJ(E$kiRx?%er`eq39+*k3dx6je5pZ%=+o<j0{a4^fwhv+T)q=_V-bk)AJ
zw3M!%gt59yDZtvnc5N|kO~FIzp|$^JT@&l(wm%gjh&!@^Z<K<8o@5&BgO{^K$e)<7
z<NV->6J~~rDv)Rhk#Rx6E?_p`ys5o`8hCi)Lt2{|C`_QjjKkD}G}l61xyF@E$!F9u
zQ@-+|%$a$jMR}#ed`pg?gl~c!8E5+VBR{QX0hg+Z;n@VLR}%^dAW1A}QxH7L+~lto
zOo81OlG{aj4E@{IIi~}u%`jo$N|ce1oi<8*VyNEreyDk-O(RbOulDI(Lyz=fp|QnN
zOeH^hBbTZp!otGTuk>P;xZ&P)LPwq5SdNc$1~1iqr=t}ya%*wC^2DMYfO+xE-4DYT
z$pajXeS}}&fG|*S1za4JBoIYg8xjlZe&L_#x8o+uk3VW6MX$-mt&hELZ&cj<mNNXY
ze+iuH`A5AXr7y)=^Q9QnFK(DfRanN^fAJ37&V7<WFWyHTy@GXS4M?o5k?_;M=j8E`
z|Ix=0H~NY5sI`|)kP#@*1f5)(YXqknre58p?Y51(eoJ|jOOmr>8M*&$k~mS-p56F(
zXaG^}p)t&DMH^B*+H))N;cj~G8PDx_sNIr;f``7A{*G5%t^W4*JvGaG)RNNSLz$K2
zv9IC}Ii8DtdC9aMr4x~8t>?`@Z0gS5UA$|V!Npw?7)`07rMU_ew&+)>|I0r-`|n6a
z#=3VM{5oeicfqz6ftGM%%ky+zs&Ri%NhZ&Z+@+AR!QK6zB!rc1=i1nrU)XZGpj?Nw
zcQ)F+Wq;g3POghdSVob&*>I^c)^h#A!ZJf5%%!>G&8z16pcr@zO=`Fx-od4ec0{@_
zE=$Ai5-4u~&o-1Y()=>IumOpay<eZ?^|uZ0v{DXfXi2pH)P4Xz9B}s5ItXvviMdmg
z9oKKKN`rxq26uaAz;+vcN}L6c@LqHmG9-{QIKMfmGcoR;qn-2{s&22Id)}M1RP9`u
z<}Q|+wMnEB_Uzcy3fk6;VE_Ii(kn-5S~;UKpm`Kf<_3FUW!-G8oJgR!X1>>3m}Yi-
z#@{d1XUVx}l;8vHj<Pz>x5jB0V3o8`I^emY9pan>AI+~mFcrYzc+ZRt$8)31DGO+G
zba9G`Zf#l^*b!@howGR>qQa;|S3uoJzw)Ea{ZtV~KICGOS05skM;}SnNL|XCnhXM%
zoW_BL$X+6YnN`cC`378XtJ_bQrXa?Tx8Hbb(|!B{UyTW~2bq7Z!upa_-5m6-B@BJW
z+0XW}D)FInOmH_W-|d8LmHO26v9a<M_bzjeVVvJup!G);gvvR&$r*1XC5pb}Zu5p-
ztE&qM&r-CI-NHYjO!$oD4<MldM(h!`<Fe_b@OTah>M`>?v^N&)A2TL6<1s2uFjeS|
z11UO<83xcEY;vK_OJ;s89m0w@(>6MVtcp=tLlr9rqp4HROt!vRZ{&k##}@bfm?(bv
zz`WmOt@ORi@d`D8C7+)@#+?3;S3afiOY*}S8GPtJhi5}|aXx{R>C}KYm3VW5kpx7$
z`6$3wIn}J?=u$1c;fSd6d2nrG`=pRDFsd5;y0e-v5~n15TVm_^RMizW&33BKDGtv=
zvB?I7{1v9(IyMVR>#ZUu@>`OBY-%fS&kYjm^~O8|1qX66bv<8p7d2W{$neBWe?_QC
zrp8nxu%cP79bT3^90$q^$|UptO)^CVG#CCuDK6>FwBFje(~J>VNWzL^>!#gX=Sx*H
z2I4Q-qMM)(&e^Mqryeu-@>Fr4Wk+&~XISj$S1GQ+szgWKpUV5OCVHAghDPw3v5v{o
ze4tIG*KChE&*?^udfr?WK79jj@MpbL(1GzQqqPsJc}J*aQ2-!BygIQPpIoM$o3gkv
zx8*8O^y^17<pK|@wx07^he|OXeQ@R6$)$gP?xZI`kI!lcp`1Qwp#9Lw0l1b$e?n`+
zz+JKyEC#QwLC1KV&5xy!*UluwO;f7NB&rxZk588USaY32clxX)?ado!@?<hiuDzt8
z;%(X_TzGXvYXE>ucGt>yP^p?3G{h@=y=OnN0$EaUBSh3#DLuc!zLNvC{EwFO!QNvV
zLbs78Pt5s?qgjH;tsZJG8Sb}>>UxV-mh)z}YBl88CHOx?aI<cheS{{C`HPBY@3;|K
z)<;8~OPeaO-`DXiXs<pc1a`Y0BS8AIKB|o7Zne{)2NEN;7r6+oSbh}e2phY+KMlM6
ziJs>%4ij)+hsvMPmzw>ze`eHjI{ffzJ+X8BScj4iOPTbUmNEjJ;ykvs-0F81Z4od9
zBLyFY3!md4I3h}pjPT6R{+Y57YDnnp((2v*`s^&T{vy1E$+yJ?BMkCD34gGfR>B{I
zZbbt}ilgquqH+X(9g%8Mb`++`zNtMvO@Wt0tqhZIWIwn>_6)oU%5)@3I{{+1I^(F!
z^sYHsb!8oUp6vNsv9R87%f4gPQXNHMW~H_L(NfM`2h`S~TNzzdpDe5{CoA6<h6!`6
z!wp#={t3KgB|%V4Hpv1?|KP0Qpnkxpn_r9mvoQm0F`wSE#qZ2N^y@a+HW<x}e{(*f
zzPJ3zaxX<^Ch)U@Xn+JH-`S{*osGwde*U#E;aj*;b3#&&M99HYhyelC&<5)<hd4@%
zx^qbK8PfR%9yZ8MmsP+KSa&u@M8|V$g1=^`(Q8o+<+C4x>EB62uAErM+7$qB|ImZ$
zGmnr?2-<{HKa`c-B#bGb*B?0++<km((kxSVAaevWX-rp`!-Mj<BQ3|*@(O<-VFO=B
z$~&Cj@BWy}JA^(6tjeucBy&nI?OD!DS%4B^Sd0DxTeZYvte@!Pt6CZ$M|4U&WwFef
zxDzX*)@4Y0nH(ep8wjjX`w6$tPd^HKpZut%xU)(Ib8Qwe>}KP8BNd34;fG6Mb)3h#
zKR-gu5(RN8=lb-{ojjXnp575c8LhP)R&-WD5;>X0ADg|PTNgrL<+U0c_vfaMC+MR4
zCr+}?;075?{j?$)(*H?o=)fE(sHOt3lcGj^5iZjBYGHj$2f%MlprQ)%u3xAVI-S0>
z%{j~VnQvVbSmBbpoAC^GH;}f>TsJQN`1xI(t3IzUmEBUS@<N^e-Oq~}G2bJ?)KwEU
za&<<dkLH(e$0s81o_TEbvDrIP3i`mfTkRTd_BC|j<2JlgotdlPf`yd*4ccLr?>}R!
zlDX?DQ+xa|z%^1|=ggzDbLCJ2m#p$jnXW;Jle}g)p^V*>x~Jk_YL&%V>%X@P;&zx8
zvRK5Wuq=p>JxSUA_kBjDGx$r>zP`;nCaCQdoGynzI!_;arK_3Et8E#v9q;+~t}$8f
zas8^(>Ds$Y;)VdTBlhPW#zn~?hWlse)(E;Tl-rX4APAfG>0M1MB*QMJ%g2e@WJk6C
zzUQCm7J(9O^dm$SBhsLGFRSs!Ll5-{gt@|I;CAnA!rpLxssDi+zC6J)>q1f+&hsS2
zsc0?S@l9A5VsB#@Vp}KPm;sfEGQ8$v+<LCew^63n<}%yTX5_StU2aK8PLl^q%(H#9
zTO~khKv&)D?TR;@^$oWiN^{_kjv#LbhwajE21NO|AIChw^lDAfqKf4d?3lg=>x?YV
zqyz-cxlyF{Pjc0^cY;rhGfA5Mkl7J65;K!-y(=!x>Q7k|{2jRYBgRb65qsov^W^eF
zAMx;MuDY3}M}Fr?7!7TDVq&sMz{2Po|FfX|1CQty%CUTG0gMH?JRz<#wyNBNcIcrJ
z)fANeHvT4!C7q-zO!Ek6WP;85Sc}*-cto<-`;Di0B(Tz)0Zs4I@|c`sZjVx7b;;50
zKVBclxEi@Fy^30FEZT+EVfMlTv64jz726zE1XJIq+p$O=^LGc4?i3qT4-;Plo3!Wp
zT}aMuqo1|}R$Dbzx~=*pBJ34qQ!}84by2Q#b3~x2)5XAT#Lk$goG>ut-}pLWdh*S|
z^mCXa1pmNUr+zrmxtCAh5$i{_F*30D2z#W7(8_F)!@{wZSk)K3fh-__v4tJ+tys+#
zt7;RxMXwmL#hwF~yT2+M4?MczWbFFyc93+*JPQB0eGQ^x*y?8)NS#;Quvpo$Ip9_q
zV=R9$ZoQqMer8|av>{(!ruT~<Un}3kxXDR`pIwY)40nb}WT8COlo_6fqRxkQ^J<b<
z`7BGijnr`Dg_8F2W|Q!xRrA&G<M6Ps_pSWc?%VJT`1&<fCWe^ZMnGe8yX9ogH{*8U
z$*fgw&u;xYd&`J^CL9{E$HQ;Xp7p%}OG4koqYIpm1UAkT`5&A>J<it<AGD~5eSEdL
z)en_BXD>Z1^K7$OGr!fVlwpIbibqp+!3@#zXAUEEWz}ls?pj0k+@!@7=bgbBDI)Mj
zqa+>89a*U(>TxU79Dp|2Thz+AtlT8{6Go<e9W1B(VqI%zWdAhp7@%TqM?#{(_hOy5
zX9t-$c2%E`b{NeY=~E%IJnUM}M2%<7H(=J3EAVgj-XR&f(mB4(zKUcgu(rG8Z!{PT
zCZ;#tW78q9=<m-Hw6fXvt+ikpf_C)=g^bBs5orV?C(E}$rOX)iDMf-UJx<Ohkk*Ks
zqrmIs=aIwIhgn-S2v8LZeuf&s?O`;&RNSq<vADw%LkU88jg_6DcF2NmjssW$meaa-
z{hY)^84Wu|g_50>=Yh(`Nb4nKo|t^~ADl5z3FyJ>OdKv0$BOMh-S$K$IUr`e5wadu
z7!{sfFTk^xeN5?Noj~eT<U!AimSY`(3}@4xK@0`K)Ol<yuG4@%w_Ul}$mAE#@4b-<
zyw9~PyuaD`bm@1#J+(0TGrNy4lQ}HrkFLnI9s#&fIT-1Fa*WS)Gs|vssdkvFv&1g@
z@BIjU=EF0)4@c9<>BJU&^AmQY9K5-a5v<(>s^#D>M=|wx6H60*kWQSbN~G8Akv#@^
z`6+C%wUx0?zD;4AXTQIBv(=a`lVf7<@$>p>Vm;m3%c<l~Vn)*6q?4vSBd>p;5Kh@H
zZ0g$I(eK~SAGRD8pV(M3-`VQ`?y0Gvn_!8tbHA`Q4+W8GgxF?XD=`tm(j)j=#@)4e
zAmg$E#Ky@hq-q%hg!n$L6?KHGL~6XcWG@Y&no-FyBFtigFtvmXap$zen`4e>(SR}<
z1Czt@d(ky8_7!nqdSC9{d-C^&;2ou2S_jnVEDX|jI*y@uwmrN+bRe2iyS+`FIm^>1
zDdSuLY4}u$bsbenIjj7S94RJ$18S<?TKJ%BChU-cH;hE{AXh@PyX$0W3q~A?D^fbH
z<(*@syFm6#e#2riCDQ_U8%_QmZ$yF*v2<kNg8qs#PV9-jVa&)+jP&<ZhIbD>jFoRT
zPd&K`uctm#PR$Gov>q5Tz}I)0xe)DM&N`R}sD@#mRv5-L+vu@O$`}9>B~($L!1UK7
zyjy4bNAXDj@XRxV7Ndk74vTXhw5Ml>Z#5$oF+GH;tH$q5R{#CJ7BCpF830G=FtSCH
z44HYtyGM^%P&dSV_Dqo%#Km_zq{jUj6V;rVij;a9F>km?P*-%$xV#*e@oNo@!PU9T
zNSSpL1n2vfaUv%o1aRXOhkA)1!sDi<zZn9VQB|^pz)q3bJZJL2W|8?j|8Stz3P&nL
zNrsOUjt(z6mi*KU$i?KaKb?V*RN==)_f@^`)qLJgaJi0RETI<vGMS!+mJ4v2nOp&h
zin8iXn1H5IJ=W9HleX^p&~8S22fA$6UTU-x;ZYL<1z^Tdj(<>hwB!DzuCP!PY#ZFN
zwCI@_DsF1&q+Wx1ez6_KTi|Yr<n6tqXQmA#{PX9MiA&P`=;`-)`3sY9WWP$CpmN2`
z3&{+aD+95d=tH&n_WI8LxBLYaE!rP9R~7|octbQ$=JHgqP38UrvpM|{iEG}DrmGRy
z^oMbL;{Z~WdN)L)WZn{~c#R&5Fm>x?B;D&T9n3Mv5tUj-zj8744zAfA{@3kZiZx>W
zS>zGx2Y!Rz+G)Ic3P2s*C4Be;UW9SHH|@oy>D}(d-{xr!%|@;VoN#o<T(!G@IGL$?
zDML`bU&-lRTWXL@$24E78Fao_ShD(}jroaYD&P=5XlBz_n)^P{(Qty|v5cLgRjHlK
zP}<3PNjVM+Z7nmuR%>&m)!dx@-n!NGD|S6bm=(;$b*gKQCjToYkV0iNpS*M#cI&Tp
za}qR(1M9Gcxh-tbq3tpJQ`11sz1q9BD&Z?!eN`bZu@nrV4%kEc1O<uKe>cGV!~DP}
zBTTtSSn%i;o|9-3ylJ55d5D`nEWb<;CyRZG;?-2<Y&RZ({$FufN6%yC*{noOEYc1}
zpM0~EpfM3Jt{W0betC|f(7a->^=ffja*J_lo#Benu**~L`MpHp;>L}<f5n2`Mh9iR
zs6uKeeRSvo37Ofo;}QARy$w~s6Ooj_Um||3g`?^x3=e{oZ<=~ETXh-9A;xOG`cm7o
zYc~O^`IW7bZ_I>t<EsM_KAexA!8U_*SJ}#PpIFuUZyyz{;_pME%TWlu)+G`9r4>@j
z&q7AZ1+T?+Qc<}{V@O?4nzgc`!=M#Ak%PCQ3SU+G-7Kg7Q^Wp#`(`On1>?47t0>J$
zU&`^A+Q`7Hlzj0+`&}F3bl=}PYu%UHqNxOi82|pfZi(71a1wV8gRKhc>LOxdf30x#
z(ery;zC>dFX?C4-mmIiN+2%eXNFqwgxO#3%ik-1fRLy?=@ImpgQo(jb?Bf2A+_1U(
zk1x@w23|wk^dS8*vH*{gXv+EngWhC2;~YE3eU0U2XfcPyu}IvyyXJ7@7xlj6<xAY0
z&m;HbA3GJ+lr0WywpR}RLJ)Muf>m!S*cBz(Km2L9lGx%`o??Tj0CHKQraKHB9cYc+
zPj9u8eQMIZ0KK+D=kw#<T{+dsNi@#OsC3yO`MSdcd<-8@Y|z(uJm$VXado0(KU)&g
zC`D7>8Yd%k^<8m+rf0}efB^$fYLU)y?Rx!uJ87wf|5~!xe2=Bj-FM~l-d%2sj|w<#
z3TwWN3xs_xbis)(q`G8zaBp8As559V9Dn^)`^suJJx^*Egk&Dd=01rb<81t_9w7%B
znA(R2rF%eFW0oevLiclGDA_sL4^i>b+?J7~c|n0=sHYQ7{IWrXDEai+fd1V>u6ClE
zPwyXgoeoq{MpruS#^zyl$-J4xifUk_U&a1-3LSO$_zDZef$@v6TW^$W)u_A&5o}6~
zlD5^63;|-d`-BS)j9X?bd&BgMrPmjFUQ+nufg9zr0dt|yF$IkA2a}TZlqI`)ZM%uL
z`$nwm5$&ApJWi2E_BWH1Sui5ib$^yp5;B+j%$er>QpD>}p@9YVEbXdrtnsGlU^CYW
z`8R5*=0pfgKGS+<+v&c$szZ*Bs=R5e7j<iwR-z`Zd?_!*99AOT&-bos{t=`f^#Yh1
zlKa)YhH;UTfF-v7cv`a>@2YLU!OHXe`Y5{ii7D$9UTF_UF3<F;sRv|r9MG8QL!Ic$
zH^B{@%EX4Iogvj7cxEs-Iy;s}S>qxVgx+@iQP8_q%_}Yvx7qij<7i^D{%$}h{!))N
zHnC8qntRHp@}>3a%sl4;?`W1Ikob7$YanW))q(E?royl$#S*ScPvQsXT`Z1gCQ#15
z`4`uKx|N3|a!xp6jqA_d613|NBbMjBf54$sWLvg5zT&EOPxjz8B;v@Sx1h#}jVR|j
zU(n2vXvDu;2uI0K$JcoGk}C9<RidlDITWY5)(VzP(m`gE{Oan&&XVK*a2-69#6NSN
zz#EZ2>rdsVHil5-E8$(|#DC0Vb^bg&$>FL>RxZo@_&-=}s2!FmTZX__m}twE=sH)T
z)>GPbKZN48Bqiod>lCC!lOd91X)!^0Pr6f4@ThV;T+6MpJY~r?!!a*^;^z|s93K3i
zT9mD#WVu$=#|#*kMZ9s46VKn{L<=`rb^J?8*q#!vniyX(hFH`mxA^Jbo?B}T5~mMZ
zf!uI3_MwsNc@Eei68u9Axv4@6_w2fYU?gwu*4u?CO0ELvw#lIhhj^Ts!osV2`t2vm
z-vcY<WP1x5R80*Iazl!>xmk}~PxFCB5hAl4cYqLprb1Gz(-U|FxRWL+{TWwiZou_W
zx4p?LdKQVbl)UR)i7US)^x^!Om3OM`uWq&~f9pxB`((YNbyAcpLka=ip#PUK<|?5c
zUs4H}5&hI0Njni+F6Y?gD(abmAQ<=Q{#fu-Dh&VQ_PC}rYQhQb=^rlgP;|NcUNyB@
z7vLgky|dzNu}dpiQ2K29Qz5Q_kPm5G0GbMq*{;K|$VpMRTgVkIh@FGoGe3*5$=(M2
ztiFhRvaXlMSV@CxO>4|j$Gv+gVfGq+@zUYQAY=YAw+#X{*B;R%RVK238a$;9@{XO=
z0Q<oBD+Y%hurFFPc~2?q05lmFVprVjIC_|-{|N7nFFRMsgV_F48`fvNE*w8F{(hlU
z`n@k}x9XkQ;$X=PJMY;tVrv5Q$i@@2KHs7dIi*s#`$qTcgwQhQx3gldgf=i?rRVb@
zRaNdK0fT6dt9c>HV>KF_>;zeH4zoy`-p7z2qY3Y1x9(xgM|Z%ZO5f4PYP-~eU3^bS
zvo}@2>5@&avb0fo>3I1u6xk22`^n++@U_8)`{1R)j`neKB64=IjOfkd%qz*LK120b
znRb^4B~_yOn9`Ti&~yn#R?{*qDWuRg&Ow~eDDKkvT#}dTYq_-T)zHQilO2{Zv2Vo{
zSC;u#*;clIUj^K2e6Qy49$Hu9yBKASn@qRYqY>@pZOd-BCwVMA$B?eP{rI#c6UD2b
zD^(!K6etf34>LLD$>s#tiAy}yX%ri#Pp4duRId7UyWJmxH9nZa3&#+yKr8~|>grBy
zGLLTVFez6ni{(=Ecuqt2hoAk)SBq;L{~0Ra2AqnL-DaV;#0V(@2ir^}FkS~Ylhi<s
zRFj{(F)KBC63NZ6t%DuBb#vaGd@|E~_m~ee5JZdkb6@!_R4-PwU3@V*!6bQ@@2!b8
zQ)fXKQ98s85}xqUld9I)%IsRjIb2#Nh57Phk;o&nQWse*MmrT&aTQzLYS~x6jRD?Y
zR63PYRO%z^oOjo?(AKJ$hVl`*!>@NC!!GmL-QxI9sHQZpoihYM2+K}7e&<`l*B~Oq
z^-(SHU)qVWzxHxBsQWp3Udv7-;rHx<qDx_KkzL>(giW!id;tVR!qiD`6bX~J!X-G#
zOCz}2eZLH6v?evST8=dXVuNm)HZ`~m(cPao2t9dO|LgFxoSAW*-woWTc7}?Q-v(t4
z#ccu%BiWznI9V}92`i_;a&3C~?2Mg1SMq@pLglKp85yzDPuVMn@SY3<1Dkv_C-2G<
zREu$KqH$wje6`uCD#zxhe>)POB6v-1^-cObcrrxc0Ylc%f{n5zB&Nnc+1jd6HwkZ+
zpK{pwQ@-t_pdVm2#}sR2DbZ)=5?eMF1@`z6S_cRDMfHoX@m}+_%fp;2a;EHM^n=oU
zCz)Dlrf{T=@{rTvxK~~Fa^J~)BIuV*=Bf<(6o_h@tdM2OCi_&cX>o{b{2%hjPMI+#
z>LaG>z+x>hKFGaf>(SR>?r?QZrmr5wUf>~$ZdMshQsqCDbpI?qyK4rlmsBL%f4Piv
zzQ|)p{OYSrK6ND}jgG1$2peo=*`rrs4K<->)KK)%@29$G(CEkWVfHHeRjY0Ck}Xs{
zE}U=QQeSJopk-4F2{`&KG3;<Je(G|%F*F2N2S8e{=o|Dm<SZ>M^J{^|OG0vuUUR3Z
zaKwqX{bxG$d^Xdo?dL&Brm=H_pe@hjep;6ZmrQWdH*-5`Av5#C&)$>)X*=MVm<`Nu
z*4&g>d6n9J*Tr=f+fX1AY9!%#bE1T6$u>a1Ln0zhW=zMy*{s(+F^Bu<8qBu~;M%Nv
zb@yF%t?@wc8V#0%{RPq1#H!k$U7^eRgnIE!PaC$eovOI<xTf}Jj!3|Ar`3#8dvx`>
za?Ig@%tT3TB`+cC+ecgXQXf{3C9#v_(8gj~iFnJuj{#}j6GskewrE}N*R0sWB_TBB
zJ*z&yRLvV1a<vnmyc~aa16boF#db^jQtm3Ra}m3GtQj=0hu@8(wTC0+D-635epR|A
zlAW7@ptG1bZDyc=B;ir$MZ2nlkMsrQ95j+UVivne*WIUniRL>ls;kBc`=wlOwzTUl
zj^bYX!ikY6aku@GTr;(};^z@k>Rx1mygT%#nqTbTW^RUz{!=G8pp9alm4go(Pifoo
zhuLCfvCH5ovAT_w0{t*6Fwe-fX~k<E8MJq0U6?2mF%p1NTDbr(#`x>=IK)qxaW3>E
z4Sp!-iY^ZkZJ8~@0s-`K%L5OPJsNHM21ex@_6+>=IIl}ePP`#aMm<Sg$!FtwR>rO~
ze-tI_p{dpL#z}w^D}n9`uB5ZrVI60hkAbMLh!?~8I{g0Og!0gV``;7Pzo^=7N*_DE
z>8wJIm05W}a-cuKBa%}(yEL)xqF`Bk-TVy#;v?4z6Vi;bjtfKIGd6u22<9Ad+j^ss
zD6Txl;VOr&+==j6Yar=7Uvp;wWzw8tM>BcrvFkQaxa{+pc`=FIcii}ZJE-QG!g7cx
z_={lKs&VbBmkrmmsXSjC?rvmJ-(>^s{_ISj8dw2tci4e_GJ3d&=QwoYKDZBwfouj8
zLnH?FE3EQMu?Qs3IwkTvnZ^Nw;BDM0QnKdbCQRVwsAbM_wZ?({)wwM0rvSCU-Stgi
zl1Pq;!#anr65mO25|D_edvVy<S58`_R47&o|GBvXCQ)Kl!i!W`zfKri|8PP1yBt~j
zUXG9fMVD@Cfs$r1-0QtnNI22+jZ2EPUanfLbMHN@nc=Y#ayZI~<eovc>1tI^ooz4@
z48>sYSc_FEyx?m*sw+VrU?!l&D}2PoTm87sRJayU+B$EuNkAHLuTQQ0MYi|{caRW%
zdq_LuqepGrZ+qh@5%hxwJI_T9&MW%uufMuy?N<BDZMjMyMY)(ATn_Lk8;VdQH1fAe
zk9#oW5MA!e1C>D?3uW#q5ilb8ydRpeyX#DsqYW)Z9q@q3J9<Xv`lAsFtg3Q<&zJq<
zUZ*X0o4-@GcBaPXoCT7SqerDv4=OUInf98Wla|tnWR|ISOz6V7nHUVH0%*%edtoK9
zE>cxf330i}GSwZbiOCAC!*5Rz*T_#4ydI_qw!ij_EPqKv`#E#&=)5BA;;|;(wLszD
zu=+MPlg(y-7N=adIK=6`zv~@%HraKAsb>sxkNuvQHkdwS!drAY<TAy;F%3BHQ$l&q
zC&ZQN-*Uw`D0?~u@^Tm1AX_6E{;tp2Sf*tOa$IZc7u`1GtO_4ZKRoinx?^q7a~KAa
zH=#Y9_$4e12n$oox*E{h5`P;x{JNXIIhs07)awr{Gr3yH{FDiqYhiVnnoeUhJkV<t
z_aRMTEA*p(LSI`W>Gq&C<SQ}_7;c^kw5?vDM7rMI?g;4Go7HS8oI1_k1&<!+SYZw@
zAn|$zVo-OO|KpN|bv`HfeR%)Z@7br%fAtXDuWW`d*WI(YutDJ&3)TDQ$ek==XBRhX
z!5R#hJmW4*Jgz<)zVKm(`Q^w>Bp2#ziCl@OBu66jgsbG7ddK%@GOu14eS<4rI^>W)
zLrP*Sk-*+te&&9WV3x(;@xRf82r6ubXwlUHlVoSkm2c14$?^YUIh7_=$bH!xwMnLs
zkySbdn(AT@h9KEbozky%Qv%eChlD9`<8T?9gl)#$Tng^yhx(r{>WA*oi;%}2%l?oX
zJEv*s1+7q9ss`;hx%MQi^XUa514#!e6kro@w=>bHYbNkOCuA9Dqr|a8PN4H`c;*&h
z#}?Ip*=Z$Y`LtYRk72aLzfLP~yJbLXyJUHDed&Q<=+(bSh@i=9j5J=AwXaF@pmHDs
z)<;Q%w730ir1s@945R<!L?L@lf#`~TjcG=l21*@%05kGIwY}0u75oN8Y62x|FKPsx
zdn%7*`ecDLls5;SJO`$+Up#_0T`gYt&=gr8IH9ua#-*q*O!5LDe<QBJvIqB`E;Sog
zzu*ha4<V=&Lo=UM&ne>-PT3k;2A1~}(=PN<;##34UoMZPcdMvoMXY*b?_w{4m9IcR
z_%FK-_F8c3?MuY!X*^_Pyj;y)A`{C?-wb4YFt5}=wAYat7N$PM?t%5Q3SXWtdl$lP
z-yi>q^X`Z*jXaGf?I`2!m35_}0?q3ZuQxx}jTVuwe>FbzxjCBAfCbrN$ym-K?$6wl
zd03kFSN877#7St3vNuF7TRcmxD96n@n%5eEP^$_wl9CE;CxqjN?sNe0se2Zd2f?Ug
zTXx*hb9vRY=%ahMbA6=6=XGRG4ZNKEd01vd@BY!GiXN}@fhSk(%l<0)gyMX^&Ub_Y
zj}-h%!8)xyeS9+&pZ5#p+$XttbPZN2sEgvqRhfwg1A26#FSlf9-;hfGH-#pY(wRPy
zbM{T5sZ&4*x4=+`)xRgQ_~TIVs+4@_{#4*<)z^*N@(v?yfBC;D2uAY1G|<%$U0O+>
zg=$LNH}?A=?-xbqdpEsyr%T^{cyw=v=H2A<TZPnM<y1B&I=x8`ij)13FOx*;fH$bC
zJgTMDg)LS_q)PwrS1Cj~3{Z<aXaccn2tbk&fY%4+*YH6`+)F1uO)CvH&o-cJ|4056
z1Ez@gksF;c(4Q3WjG)^V0hX9mw+}U?9d(yMF5rrM*0jowe#2i}KbYN%TW1w25r!m}
zq=%L&>iwgT#6bP08qm5JuUivcHRn$=%C`FE;M1pKWyT8=*NDKmNvsu6-7hu@w(dht
z#77(1<arFiS{ZYu1^Al^lb)Sv-+$O~r*$COxk@bd;;oCk#vS-lon{5Gw@In0!+HK>
zvDr%X+Vst%UJJ6~5#|VIOklN43^JvhSGISj9JLxnUTVkja&#O-PvlqEi3$2?cpTDI
zpYts3+;PL6Ly7<hG13MGOKRa5_mxa-Y6|MeFhl*_r=a1!BEqVcu6+Zne3Fnt=ABlQ
zsWXrJ_i#k=29<(kIPJ+V2}dj#W(y)jkJ_3!(kN!y%Gb$;#(j1=G<4g2r27e@FAE0l
z$@+qV4PK7gsMA#<P!O~cEDp-+9FkGKQY%jY#FZqx-5|Lt=bNBkE+rrH!G`cUD{_iy
zvYR@f3BrvYLFc0{T#8=pJBWT`_kF<S0LR9>d)cv|mxL<Do!0Ig+dw3FJ^Hy(;XeWD
zzU<v2r}7!T8<j$nOgZvL=P)z|LjFobX5Ke87#)ft+C-<A8h)~9>kfb$3ZU{I)^f(0
zYX?I;1UZT6Qh3mIWZD=mUq6{PZH}ah?(h_u52d<+<P4{;N=MH<Kmt)41_7M+G)m~j
zcQKVUaQRXs?kg%efIE1*H1G)S46on=OEAJvH)(bS#b0oXU77_e^%SS`9@`s~tQMg5
zh1Vxo7QC@-zbyP9L1-WeTZ8FOa5|Sdm`36~Kk_kaZmU{M20Mj1ioSVTYLnVKn+JEM
z9adyZb=8#DqU>8y<KM45*0ovUBzRy{w-N*5oZTi|Nr@2m<|9f|9><eQZPFX37SP0A
zK6N;lxelgDr0-0T^rP&VWa8j-#L<}hG%OsP$}f-!ocLT$=ZxG)zFrUA!Evmyj)LDd
z;m7{@N79@+S#rLcu&P;QC8H9w-h-O&UyI5dE;0^2IQvXqoP#(mHK5ZLe^eLR8}y3`
z!_EH6Up7^wb(0Fp4|9P}s`BtPi6cm@+xVY6jwEy_Sn;C@RSd=DIa{bvVLeb#@Y7HT
zpyY@Lkx&^L!8}RJ&>kgc^r3VjjWoe~6F0Tf(@KduiPS(8(e(3&`ZQ>NwOW0U_S(mE
z0s2|+h$E1GKoz%#TWZ?Z!159pkWiw;?+J`KTYih57^dT4BX5x^)VC%_kxXV;RK)wZ
z>)e03WqTZ%|DCf;K$nuu=T>kOAO@!iw1t_(%xM$&M^}s^yPg-ejZ)F@wT&i0ID7=t
z7pU|Y%Z8pjc|x*1>E6^Ls2~``uvuHht(PkOc@ukTJ$~)_p|VWCsu5`VSIR!I652!=
zKZo1gRY<eT2JYTh*2CAw*<Q3*xdS(q9G`NNuER0sU(ocMo=>lqUjd#0PrY^U9;qO?
zRhroNcV4i>wqw{^+Tw%fm^Ebrooo#ELi^PZOa+l!7VsiVk1g6D2Qz>UBR6gP6?pCY
zFzF5>b_4~l%=Y<WPL}CAc`T&YS1qaTCq(>olDjHGuIW(Dky<ZJkLhCkZT7~C57PY!
zV(EZh*sG{`CESVuB$8l<V9k+MTyd$t7Y3;AEahihNMtcbtlphgqP%B*pc;&e!CJ+$
zZw?CLT#_~jfpf3D4;mHorH>pmh-QuVHgxfv_+<r}#IAH{a(Rj8w_jU!b1Fm^g*2Zh
zpM=Pj2Sx-oJU1!^#T9T+xp?nS(>R&=>M>le1So)K^9Ji|o;A?)<O?;OV&m#Z?w_H0
zWF1_ncydF}Dw+06voUt%&9o4<+3@}#*Ij8oLrH7)0?Mgkfs~iezJHvTEt)i#2;^Qb
z6Z=81C6<r>%W?3wyGK0UKDIgDZj9RCzLiz1#nVK2IfHpCuvnxKHI?>b?6~TZ9L?$k
z<_#dgw->yESWLrLR&`iy2Z@rTnMp$J)hH|b<7oP?sv3(T990kJsPHytPKr65De$f?
zF}J_mC)-{1j5BK8T?JnmgDKZ<Al`;>zkAEXuV2a5GmuXF1fI8VUHQ0eIqcN(fwvia
zYpCy!GyhiB)Pz<(EaS}3v}UE|{W%)c07SLk#t0CXF@Hog&{4n2(^cv5W+-iO0UU4h
zP*o8pXG7JsA9VbFtBp84Z2+fxHmRB&7uD!!L;%pmGiAS2gSk81&y>Inn0~9K{eIB&
z6fF5LSWQ)g?W$wynLK$&c7rs8$9M@{!V+_Xi8Vhtq_fO_3j(>}z7O8`dIJ6NaW6Tj
z{l#5ZF6}N2?_`0MmTFbj9cu>ts>h{NEJ3Bdd=|;2%^uAvp;kia?8rh&79<}9cK7r8
zO5GFhd`XjuQR$A5O=&d1K4xAZ>`A2kdL-CwT6ry1=c8vr9rLemOhs3mqoyzI%n_d%
zS(=#FtVLhVX>#b=KB4(W{}yO^ou3GZ5?hZb2xkfZ-~}qTtq|o?SE@q}PGB|(AF|;V
z&N1gAI~o>M8B+QBLT4W};OSSwyAxE)R}{hGle4iZj%1W}qRjO5!8ML=pcz-yZJPMc
zGuD6mmPlKs2s<;%5060`jod_CMQ>17@~u(Eb2y#HIgpG2r&rYxE<yEG=f(`+2t&(*
zhUr6>n`V3eUP(>7s&({O{zUbSO$l&O$pf0ToC6ef%CefV;y-39D7#HLUm?>mp}{++
zdi|}1Gbc&4t?h%zs}1j?`=>kFN48sBMD`Etmya=RE(8k<m#PHh?tdFCTb$Om{$nOo
zfOUyURX*XJT+5s~cEaE^@L%-O%PxQdtdNjqPwN})_I$|7o$|tNv*!xE$F7>m6*9w4
z%yE1e&QVHs-(E^B*RgM})2WW3D{s1O)74bonlbWF{$x|2CUCr=_T-0~!FD?Ie~zl)
z)3I$#Yjh(vRn8J4vr<^m*6nF*KhSE|NTYOCp(=-{C{A`g5h&GLsjx#Xjt7lz!b9^P
zxhNGm`u^0PRuJmyh!aJ_1B!!}^KXtN`sd@{NoA!*h;mCu%?M50H^QfEXc1tDiHxE@
z0j&Ydgh@$W+Fu#x?w*E`x~Wj^+$l#PbM;;r-sa9-f61#KU($lc2@q^(UN;~}6(}ba
z7zN4*tp_m#7`&dQDB-tNmNh*wk5;bwiB4;n<3u#9>V`~z^H+jgYopAfm)<g`ww^Bg
z`1u-2O8mF)<+kqp!%XCnETS!fx@G&CxV8M57fgvUZIpqk+}f{;u$1)?U9c%C|Fhcv
zY-646`981Y9z<&>903jylqyV0VfnNti!2=tPf8k99Zr5b3$5Q5+5b`8#*0!FN^Kf%
zo}FS^$jDlTlKcV=0(k2@Pto)6UJ?nt{=<IdrsU_%gOyoF|LrfnU7W+%lfsoB;^avG
z7mwes&xe~ofB-LkltO#pwqVUzv;Dd_)$gEYchp!1Z!Yj6w%JN#WctyAwO~=^KZ*q7
zKNiw#<7oQE^hoZWO?5=}=5s=#J*Vffa#7FL9u|7*yh%c$7vm_WJhcIzwK-DEaiv26
ztLK1!fR4B#-V$%1KqnXd%PC;3)XIUBUb}{Q54x70v-<!8_zsB|i240G>>a!wC2&oC
zAr8~53+Pa0&!npvhSTFu7<O$qkA7Fz8t3OcRxa{?e5uWj{`?<QlbY3{@j5__FTPyU
z;hWw(gf`YXNZK)Q|73c0EJVztYK4h#1Dy;W*Dcy#pjFStiXmLt_BOnasdj>p45Qa>
zq*CNkeQ@LXpwVi<7s5FenZFHgk*C{7)^KA1<Ab&a(qvs-BSUzYIy+c@P%+7&2Uoh`
zf4FObQ@)+4*qf1o74B>Q@RCCq0)FUn4>`X+`R1Oz>P<NIy54Mbez>~onbZAD^G`b#
zoBQgg+nM7^d46tS!m5FBk@60{4cfF!9Z9{-yZfUu;-gH+bhl=Ah?B16C_gad1nwxr
zPP+A6=S1|bq-gMbx>XnU{v7FJZWG;t2f_AwW!6n4Cc=(*)xieJpM|c9oTqM`HHe{7
zltsLZd>?h8V2Y0p%uvcBd@}9GK3Gt2LV$=qV0M;?YM)ucWCY|d#@ThitHAeRT<fsH
zjLgz4d)zB>^f8d0yQc=Isa=${`^{wezhVL~-Et{`$bUidVzQ`4mGK_}o=I#yULf0T
zHMQsL9uJeEuxBx_1EEphR|K>e{IC~$4)L~8l&|CbKIui1^=Trx75Vv3#H0rHpf!Hz
zaWx)%LHe01(&Y?&i=Fbf{!Y;k^x8zi{cpeo?e1+whY704c1F~=zAD|q>~l;4NMhKl
zF*3kKXCOtm$D+IfGmfaDj{Ady$H)E6dJB!g0Th<eFR}Nqlh`6G5<zunht(C}weZ<Q
zZ=wQ7B<L7Nu^9PjX-~Z_Qq(}((u0vrhm9|e+*xy{icX!pni^oaJj}~U{HGVgu%kLl
zb^nNU{l*3ru9<Q)20BT>N4b-Au%<;O{ZSbRFD1Q3l4z?<Xwn%H8AsJae5@b#Z-d3g
z;BnD^B7S;ukZp#T1q17Qm#DGbnA=7;ms=!v^6i!;t{RN?^54a{>HU>CrV4#D2s2TR
zUOSEe(za#xDb_0Ar#}BLXRa@Su+b41tX^gw&1c^y|5z4<L&+CrNUuI$7p_RK7YTbG
zR~jc^;MV@v&48|cyH=DygoncUv5b~CGvN!VKVR=;e`1j$-|crVGd0qWV&%#nwwAqc
zitmbu#W~dJHdbt*8Q?*ICs7iq-B&{F5?xG~t4`~!FOeasKg&B->+UoL!>uC;&22Sl
zATR`{B&R224^GAjs0p-x=1kL}e6Xjpwt1)cNt5jFTQqr~Gh{k;+;frIp*0xfCFEVe
z_Dx3%k2-ku@92?l2e}0Td&?k=i2!QOax!f1l+1w~N|47&3_IUDy)#o8z`u9A<i&8k
zykuw{Ot;;gN0d)I<yC1ZapYN4UBAM-^8T>ak4FyUcezfoY2^Wos5CO6{NLrY;4@s^
zaEWccrl+@Wf-sZx4TKTxSo19_%&{P%Ru(7#hW<lj2G+is>dre8I1mC&indk7g691G
zp5d!$GWAENr5%}m*0zmibzU4S;JjpYwT0s$<sSaZh66$q|2>ZkRszBFm>78NY{a1C
z8|q;V2Qr&u)1P7QFID3nV0*$=qABqCB*?qzZ+4Qd7CNsUgZc*^nRTG0&!A2XrLS*d
z4)a;h*Mkg(lTi-A0inhwYRlF?f$qE)pWby}K-nm-a9!b^)%j-A^4aBdeFX=cKm@3N
zMhXv5D$%7zaZ`vE{gEQQa`~%@VfGj6(jHv!LHQ4<(B|A@y)L}K9z~@|PV3Lc`U66s
zsc2bGJ`Z9=FTuRg>SJS?D|1+l#OcE==$5N-aetTv?ss=#=i%Ab@2CHR74L&Pgh!)g
z3ANNK=Uq=L&j)M}%3Ld>sI0SxHUcSccuFLjJll4#ohU1CYZ@-T7;AP4sD{0&#=wb#
zDCjA~I0jgI>IsR)1Wj;%amnA&|KcOkR44duqK`!qgxgPNC<so_;ktQozVA4{rpzGg
zsq0(p_;(w}A3^{n1ze6o{{AOTf1BO*<Bt=f%%G`cm&%y|H6Bko<*&T~6FjclxF1V6
zL5EY}`6c8pfQUlQ{whGGQ*fa8YufZ=O8bn|m-}1p56HJv@q)<rTMZ+CMRr(isV3)H
zXZfCmllmP!NBay&&j8=b7qXE8o5q$UIEnusI(h31QI%ttW<4L}$K;3}Ir6SbAwS_L
zDhgEE7)Yp^y9(ukTKZ+p80y(jQ3;^cfZOL|5cv`?Q_9Yf!q?R$?B}3kvE>*EuSJv(
z8|iaP-1NS=bMp=*7C?KMz96fRCAUW}q=dTG%HqQ2<q!0K4zz9`xeMP<(ElGB(um(s
zYm3H98MF)L!u<9Ub5{rm0uvJP7ta|>;Jt4L3pHi%0qh~5WO!6b5{gb?H8L;U9$@{h
zfgye4oZ-i8?(xg7K%5eUDWAC?@lGG&iHl^gw^R0lu69W1bR{j4s#gDit;bifYzm$B
z-n{pJXz7tQC?b=2S?Tmkav+pAL|J%wwDCe}#=u`xt?HlLM}HoI?;n|Y27VS{q@hDj
z_4wd(GXtZ+)4LOS#M2B0WUmgmmB3e+rNXp(smR}37JqWFD0-h0dmBp$T779#dk-sl
ziTaGWX<yIg9X!(1qV^P+?3A_r9&oGDq^kSbKAmJNx=!q}NL;vOHLeZ4O5{7mK%0gc
z3RYLO0ekq2f0{W{@tA2=pN}aRHz$~A_?=z9!#?f@Gx%mLnbHL1193_#^P}r!es{pF
z40;Fh{r0Vafi6<6A$P3nO)AB{uW!wFq=302<A<x@I{Hl=zSnx<_}nx54fH&%FYb=U
zTdUT)`UN^!n%|Gld;jz$bOt)~VxJR8Sb#ZTTX`ba@o95{z8Gj0oBF~(6pt)?J<_=2
zG^7g%r0QHA^*4}jVoY>igV#Zu7^_b{{Y7!@gLL^uuf#Gk-xZcJ%=6;X)k?`=E&R{1
zWv(TA<ZZKOuZ-p~=sk2%dp(CLPHGh;tUrpm!msZ7l{InfpN5Hk*m>YyHWd2_tB+O0
zTxAs;=mlFmNl(SL5!j<a5d5ILMp*?<fN~PfBUy@y4lDmQn_6<;K)N*Y)fqwEy5)+e
z%nY^X6S&shnGK{Qf4A{1g1ZV~>LL>+c5!vlvuMqbBSy_XVnPfQo;Qrv*GCl=r4<;d
zj~8?mug9196$0Ql;xWMnK^jUEaCZKDisSpL;<Fb9489&E7F65jHU)G$W|)*HL!z;a
zzql&@11L|e|7~kq%emMRo`VZ}T4uMgeiLdX({a)6oT-BYy}ai@)3I3Lm17KiMecNY
zN4821cwejL>%Lx4wr++rJd2fDE*;=-XGQ|}QqG;FRe$!*`w4J_CNUW0C4zkJ^y-nN
z35y5zC>*5%MsY&Zhb4il&cnLqbmzJgjHxx7k3PGAZ9b!Xh8%ZK)f>kJmj%;46<B%u
zob;p@wYb0ErrzNT1<t?WoyyCei|v-rB5gRS7^;l2p-mMD2WUmfpI#+ED5Ig1uh|ak
z3Sznx*P1x`tO38ha{~e}Cz2xV`5~Ire69MQ47vF{+%d%*r@-S^Qp+ZhTBSW9D>L6&
zUvfSXlR!%<w*9=;8Zd@Ud1eB@Ca2mrepJ~7bU4S$O;Y&7R!nAgPx}$6b~Q#P^RaU1
zJhHc8I+Rudjui-+RrMsyzRTqz%N=jT%(@tsX|-beA%b&Fu62iuo0k62{pOX{?T{~)
z27Y+_{iX`>sWWr(J_N-j{`MG5SxvEf7~`e>+54Y)@AePt0*a}BZSK?*yiBpys*Z^(
zJt!b2)QEVi1bz6(5%=qGVfNNG*@tKL1Ep7%l~b)p9%cLpnDc~-B(KkE$n%HK1w*v4
ze}rKEQ5|_$sl2j4Q`GIo#%pq&cEr15w-7T+(Ucv$<QBbvUthQoM#(~SRs8JQ0F?^g
zOZstsRC(c19lXEH>-*MMRBcI=9Wj{O+@&ti!RGa#T)-OJVko;AskU?HHr4|`GtZhO
zPC+ulRx&6KdD!V2Zp=5P263;*+DM9r`3jfNuRF%>5U~v^|FE{cq;f<~bkOZ29^6bE
zd}{K|3y24q;STPr<|ovWrM@X4%CdU%a%N!fa&-!5ABIcDK6lfe22Gj$dvXkg>m2r<
z#<1L;zBpr*XUfqsP=H@@{T~U!GF!5w?-=u_0&B^5IYSw3NWab)CeC>F2_p};coR=w
ze+%Um5OzdaWhf(Q#4&sJvCAMjdG{nTU*Mm!>2gf$tV(A;u<2zeBi7v@>v~8_jDvtU
zjjtc~f^u-g?PJ<e1^m;f2m>k%WdEn&!ainYC9Y*w8SmE!gyg4hoI^>9FW18oI}iO4
zoEaME77^as@x&U;*ZF{Hug|Drzw_(cETkqHgF7$e_f!X;VRN6Uu3a#nQ5@-TF<WpM
zx7ATtD|VUem=GtT>uhsRGZecY`>XTMFy3cIODrRM1HEiFXKmJ~vW4+Yu*TZ#2enr~
zJ2^lr28c0WbsZSDIfxet{Ou*f6qbddmEX^JD%mnfL(BL?yw6a4SEC;~&-jG2qkQfe
z>bx+qy$v$e8h;2ew(HmFi0a}Xr0e1#N;C*PR3R-!mtTia7HN*X^pgt1FdGvx(iG@9
z6BP;t;gJFJuU4)mh}?K?v{SY7q$gr#O#}^8w`?Y(ILB%(P8(h7Q>A2IccAO{ff`i8
zK}~pqNLuPSDfd`-=E6HSz1B3OEIoeBXp+62pkH;#{;fd;vfG-u`_je6z1uMSwXiwr
z@F+3Ki=X1mv7IiKMPsmwx9+e68nrMoonc70Eo9-<%JDFvR7_$t!J})qC`rZbMBWDY
zX=7dM<L$kZzP8{sznJHmxAaqebF|Q7(m&$HmqXV9-D_{DW<y;ioG2UP{rY3K))r02
z8jOu_0OMiUjrs9SkJ|IQvM=BI%c34-D9dgx;CsrKUhXW|m8f=netuC~xGJIc;zL~x
zWB-d^XUqG<Ke&km?;WVT&@yCBT>Gt@1H8?j;_Goty!dcd_d(KghI4lZmcRe-zmwzx
zdH#zB4ZC<<H}$&T<D`0_MaKayg3rUCn3%WL`w0)r@ji`B>9tG1ouhXW%KjogNAe9C
z-dn$gd*7x%On#~Kr1+be>cb|N*AU-lXs=6O_C5A8#<mmTdU^P!Pv0u*%0{*`yW0JL
zqia6O)*ncJK3^S4ho=iNT951}nLvD#Zm86Se(P@)DLarTD(h%IR*>5)@J>G3<67z8
z_`(qpQ^$~%uph^8!ao_%TAvP*7;*KNDzTO=!M$03;i>qg>YbE33I<KQ%$o6J+Ptp%
z;8=DNx-}&ruRBX061K0S*kXn5b^^~|yuRU8c}89srZ#TzF+Y`xvm*%Bz-lk|_WyA8
zpJ7dG-}^Y65PG*!r3r`#Qlu&!jv`$_DN2<l(gH}4HbFvB0WtJ0M-b^CU0MVM=?c=3
z1Q1Yq5klv`6VB)NeXi$~TxPOo?^W-0uQd|~Er`-j*7vaaRu}T%ic{=nvldgT`HlPG
zZ{63b=23mCaEqYKflY@}AqQV-Ct1SnzjilqMl-=xd$YSwt4=F@)H>F+RKI`p>-j|E
z)jxzGlfEk44^uCb?J+qp<q{Ag9k7490OGl@cccIM>eesY!k+)XL-uXu7F<Jl{2iy&
z!sKXOv}z8L`ICk-KiuA~I?O|xhX;J8_tnBki}g(OZYsR1Xk?RDY^ld!72xUywPM@;
zeBf<>$*0e}(6ZZ4$qiB)F885yO59iN#2z!4Yo}TqT<&jGaD*_4!ABPO#EG5liAB}&
zy4UaDOPX$x6)O?;D2od1jpaVhJzC98mC{1sU&SUCj>25JinnC(xKvYL>CC~UzF})9
zM)M1jYJ%tMkfINIt|4rpx$(7tR)6Hj4V1JWH~gc`&=usY2Qy<Qr6N_5^0$CqnTqWF
z_eB+SG5*NE+mMJB20S`b!l*EGa4)bVR-(`xp8?-a<UbY?D0&Ot_Tz>z<?Ywwbafhi
zUH$bGd8S*akcObN%FsgM=lp3&yw0czZ*lHVnj*Nv>!FSCPN8#F`ZMtEOqDoxnH7U#
zsT!fQK*qBC&cjgW?s~ZZrG$l)*&F@$mtqqg*|pv_CPA5@9><YK^N-ZG{1^VGfZg3r
z=fCrQcj*c4=`ru1#($^MH*wgl)&oJH2)MT>dL(WKNhSJ|#<gx~+mG|`gD+;lGa~>$
z{pkpC8zbQK1AT!h9#rF>$&T+*KMB9^Ab?SyBJzgAc9g-JxAkd4j@9dHrpr&0Z}jUz
zv!$3edV`*y`)b=CquSzZ2(d?G_}sgtcaFlZdj&ksANHTj8cHS%EN$7!%r$08e+zQ1
zZhkF27Vzg<ZOwh*)IZoPle)>JEHA0Pg1nTh()$aC=U=^8Upw_`-Sa(KKnwHu1sDr2
zmkQ{in9xYrTh=N`kJ=g+)au`<eseYx0aYV_%$en{3N&^-I7`>yYNhZYpL%gFvBfVR
zr_7dhp;*A<Qo@e4f&`DB!4Py+?nn$TG@1@k>Ay3)_Ez;i<(^EAcVoam{d;4uVX}S4
z<$UZa0{6b6*$T#lV1;GzD+!$K#~#+_pYI$U?!g}Bs2xFq#RR?TVL2GCV~+<a*<6~s
z3QqG><>+buuQ^pg{6yTJpC%PhZ;xVOrbBR(^%^mf6(LrZN4cw`)|J7L?hd?QXP(bn
zX3lP)G}aGY!*o^&*O;Wpiw{pq^w-A=XmJ$4RJv2$^-o)#AD5?)uY!s5Z+sWn2vD+(
zyV|Ts=v;HzN@#0LBEtzn3^x<CLT3U(6mChytI!?D$|;i_vpS)+nQnFEKCvI}$`QO1
zOm03he~qVOrI~XiH5zw=BeFD!A|rNaW|E;HN!o|4;)pdwWT892e!Hj!ZeYLp5w#lE
zc0q+^;_m!tt9>P5!`7Pr4{o`2bh9gGwUvpyq@cXr;V3=rsj*TIbQH+24NNV{9^1&U
zV`aAAYh$_3+mG`PME$kp<bhf0%*ttD1hgJc)Gc*MJYSr8afR6`vA+70@{andaIUQX
zpqnmztqvx~V|Buy>>{==<d8b>8QM9dPpAxoEmX%Z1lbC?m2u&Vb0YMDIsKkVo9?o$
z$@II-Gu=(8K$t?*=KrK-G+j$0kUPP4EwH0ObBbi=nF2GU*BYca>rv7QA2auF>D;l>
z;V7EaNu@ZvZv8alDHB2y^jL#ame<+)MK`6iY{TB#OB4F_Qb#Q=9D0c(nkkhT(<$%j
z#D>g)a|VHP9t6s4dMQqa`#*Zz7m}ysuk5h-U?J<>I0SdnE9xE&uYJX>iLkoJP(A#C
zcE=W<ZR7tA#Pq_hgg6`TJ<PAg8WUlm3fyyMg%7>0Yg4ZLRo8$kPMxOqxc8vp(ft%(
zq1S}4%75C<XxZH}oJ;LtLJoiTs&y$Mn0@(IEe5BSY9IVl6|o<QjUF|5%MG8rGc&2W
z^)ZXD2SS%7GFZ8<Fk0Jh4@UYsD_z4Lrrq=qhY1bV)zIyvEfto!51Q4dsLVTLdAmd}
zO6+8nI)IS(<2GVNQ)BhMamriD@;2XmtBU+Pbhn(zXO-ZJKn#;-@K$7s$&HiJ^nD=z
zJhsVY?58K_jz8{~>#KA2a6Nw7G0_>Y^ym=s0TJ9rR5;A7e`)bP`-q0pk2{8RoR6`G
zuYOx3&fzMCRdRyE1Jw7%vjf;NTehg~&}8DML<N<Sd7&0}DkS$GNOT?(EIm!#k7@v}
zQIL9#2jk?V;Py;Mwsqs}djTnzPz%C#7OUshINhSAe-f}Ij5IgB4F0G``4GAY_4pmv
z@RcZ-LYYbg#(rJG<2;R3!QxL_hW+>hb-dwY)?<JTPHQE2Uj5?LZxBF+<cu#6yq|9D
zL@6}^!l8g3ZEMh@1t)ArYl8#7Sg$2cZOb~qQf{qRc@x~}he1BfLv2N!1^KFOZ#i50
zaQj>YS%gD|>sq#^=A%%I00eeZLNC+WSh^qawDBfaMx*hryw|<755xX9_Q3iV>)1C@
zqfQDg;azf{s*J4rx-Q#pPg>eP6suP%5lUhdCpt&53mD95?<`GA_a&6AsAB~3bI~{I
z^o5vhR{!KU&cN1#cYasgyEwO4^FaS5xV}F}5|GDR=`hg?kdpP{seY*P&?kB5=rU4F
zf@<U&c4wwyxRhyN6Wss49x53iB!z+DU+1Yut6IhujAkY}lRqPjNQdXppsA(8|6A0^
z@P3_1Y%B!I^>6%J3e(YAEMWR#62kPFd+a0ZcY##(70zRcH71R~5+YK$|CB7A$za?=
zWT_jvI;c?+98hG~d^jdtwx3fJhwY8#|ENbi7KdiIq2U}GK77gf`1(xK&E;0DW44_G
z=Iw8`;z-IhdZ(u;bSUAVwkNQcAqpSXy+SNn*Ia;Gu-xsnuc@HarZM-H{}Z5!$|!r=
zDMUx;4!Ny6z8-vOnR_Z)n<#}^$#{B*keQmvc`I~fFdh7Yp>wGaL)kH<JoV1_(j<79
z9zszT-8gY`udy;NF~Kas0wVL{kVjX>>%C&g5p-R6Itn8YWn^l4_u8U#QLklRFGDRt
z`<`+x+uYoo*?+RW8jsrF9bIhCKPW6HB{-H^V7s(*`d}^;N3qgU(2*~gtIFbPvFzn#
zs3v&JHzJmm^f_B9fbra)*x={ePJdcK=kPP7s;@Xo_^z-JBDT9CxE_3()A9HcoB$SH
z;2<E@dW(V>608GWQ6C68VGq6Oui%fA!;QH$!8!NOvdmt0wsB&OAA8?$jKDmG6Ji}|
z3CSPa(6X0+{Q-E`f17MYyw@_T#N(LP`sUCPfy36H@q4NqItX?!!#uA8Eb4+)vyx6p
zvNBV0qD26k7*udvIV=7UH>$jDw)66`E!dDizBhxQNMIX`F#l_eFw8dK6*+WAV<ZB6
z6yB3S_3OirdVqz@_R~9)Z@*2~l}!4{J#+`EUwT9QZdFb;`GlNfsg(1?>h7ftDQpaU
zXiNbebPK?VktYCg7@-dtO+QMxhMQv>&H3?`y+My9!NVd%J?2OO3A>Iin%!HW=>NC?
z!<AIrG$@;V#R>KuO($uhf6?b%X_gYTJYRh+mCsL$AU8>0iJ(s?q7<PVEk__mcl%N+
z*t_jIf+s$?=&<Ly^WTHk<xIXM1peQPbCrlJo@p<lqQ8Q?TM>Fk1HF-2*|@nh@uvRG
z-PwWXA`Y<j+~pApsa4L743cU2NrNpxa1cgc4?TjI)~>%HKTzb{q~B*8D_DT+OPkqR
zlwrZtfiaMD<Yc66$QCvrV#l0lyBP4sX8R0p<d?)s_THZ8{CmxZKeUBYk>aAu9QhU}
zi_3t;E%7pD`!{k@R#afhjAttr-Qk@wa|Tq(@l_EV$cRdGkN@SAt*QgQvgdzUDG-B+
zAd02_L;Ldba;E3i;d3EUBE#du##!S~Mj@{E<J4pdQ3-nFz?~5jWa+wsZyVch;uYUi
z^iB|rXu5IApMx4wrTv0Wuko&JU$%XRz`>jJ_kxbk%Ri1J1^83BjJ!!5lZipv9s|O6
zdw)JXFBVj^cOW4*Tzz7#T2AlbzNmfFCV0u<DXb{|?wgz21Ikv=*S21=OwMU;H?o+E
zSFDU+M+uc}2bD`le{w>0a6NlT2pv@Me_<o}T2|0%#`MKnJFhXZOe6L)&hc@==TH+N
z`4*HXu~@tH6mqqk(~oRq2*0yDI&!m}$&L;Qcaq@36K?6Wn^PRn%AfV4l}FTa+zS6w
z2aE^0!fTek_^TKHybcxc{uDB6<6*zS88Q#A+-;(H2<VBmvLktzPWM~yvFA`#bL$Jj
zj<c{H*q^o)GC*DH1$R-kyuN&Nwa{beQg=s*x5j$O!sfW=tX&aK41C{d<1yzVLsYC8
zHePvnD9&Mu=u1ie7t^8K<?RYyn$b7)Q~ee)EMK{jA0L90D4-Q*QfObx8e;I;!M=xl
zh3ZJDo{*H|J<G(NRt!FlHnF)=GC=dWGUZoi#}9=pp*b)r&%Oe_hq+j6Obg!4JHZ$z
zzj%!JGiBjUHA(&i?g)QHR?78~0a#G92K*t2xl7%a8mrLWva8HOjg=H<%gYbFVk5iw
z$R$J4GALu3+GhC9l{G_a@il*ZV~&~+Y8BBA^M!L^nZV0{mftoR0SS26&(h?~Pr^Vj
z|9bU@Nji0QUU&BZvZHly-gmZQTu!wk^baXj+%G<jJQj0WJ4nKQ&w+0>W%BkQtumo4
z9KwYy;V1D-4`$7M6r3-^H`PIMt4j#7ci8Kom;jU9L^*moC!iFtLa2(6yoD%X1P`1A
zF^)Q;X=4R8J7d}u9AIkUG~d;6_Hle1oEqrzA@(FT49O00vR!<c9}sJzl97|LhT}|G
z20=xSyz3R(FK`GNrKwoaP0Jc*^6Bj=5t3N$UD(ud#R?}J1qb_sS_VXyq08(mp)}P5
zKkiy&t=t8WuszV`*HX$@5*_AoOQ{C4LDSd$j<**!2@0?O2A=0tz8jEEG95;6;?j4p
zC93WssdvU#41u(?c&$J*G9Cj}i0*qM{cymbIoSLxa|KobH22<^u9g+00(0Xp9&Tdr
z%kHdIAwN2QDQ0pAeA*T#!t`~}YBk)f#%}rcEcOQnXaNx=E1Z`=wz7}#Mc`n)9M((U
zv3Vg$(SHGa#I)tbgfVLj)gcnW5r@yyt;be!)wIkKhAsI)-}O5&0776-rT55IDDZh$
zb38l#6?kMYr)}rB!_rD-<3Suq!mo(7(v+_2o8@^m`zB4(xd>yjO_xw6rRz%%K&gSr
zp?L?sUrN>stkjY|@LX*~Ws$CoQp$bSsK0H*O=O*u;_WpU=Tm>Gw=!3k;E=6<Ekz*d
zXYX}IPE8C1uDE{@e<U=zI3B{q5QWQZY_hYf<_A*F6r6{<nmKZrmkYX<q*JD6R%@V3
z#+^$~c~ZSQiTs#1-efCEJkO8pvlgqa7Gstc@u$X##dqyJ)4N1#h_~u&QVsMJ5B#+|
z<_th|O)=-tG7y<oKl$KgIAL_u8S)LCp&K<B{^|l!rBlOY?{9@Jy5kGl3fuWO%dRRT
z-ppk0(~ofS=?bK?J}&@gWwI-k+A}Zp22dVu<s04YLp)_+3W#g~cbe=ia{X_X0ANs)
zl`vw$62dn*GNK<=w;is1Qfh4?!JAaneL*}Ftg-DM96E!WbOa<$zrbtJUT@FQWf3d#
z^C{ldpVqfN40!?MnivO;g~`z^B%f$bZ9L+a5b<riAHMH|eNlAi&R-`CK3mT{2}P{P
z)y{;JDaP7b^MH)N!|mT8`9$N2cS=C*|HRgWv}$#AHKbIQ1oRPxDbGWQ1DP`A`Xg_A
z(;Zws*g<lNB$K+&w%!PRm+ZZja~wrDeUw1bRLn_miFX3gjQ*|41%`qwL||!OV^hT2
zNydZGM=l_)I2}a3<oo;NdPuUY4i{EOWM+GardAv}h0ZiMtBgoeQCb>5F_?mTS0~^;
z2s#u228sV*t2nd6jO4~oS%M|5(lE2!`&eGlpXqa5LU2(L#uHTCdo>7*uCKY?AvsC4
zaVL`M62gkSi9S6xh>P4s=nBs!=bM0TA0c2g4#t_V+13G{30eiOT<aI}cc<sdEw8cj
z_7>Z9v@^6e>JYV``t|-5{3JggL)io9EeI1dsEuiJM}~OMh^}_?Lmx`&TGoyKXJelC
z^K+tr03UZI#nBXsECT@F?vP>8D23bKn+RsMOs}?OUAkJQM%<hyu@n`kYM9kjS5#hH
zLYw&-ubkT$UG`Pa*WYcl$W!lL=r}7o!~;kl5aIj&0cpb^?Ts_|PIPvxh|rm#mi`iL
zl@6+j;UO!bIY!;+#Rz+6;=(`FFW$!<dRPmCm%(Sz9tf}fl_&v9myY?>)$zGkyZ#4d
zdP=?TgG2BCVnTk*a~33y;s8;`V9I!223-|Ht_*L01+tGQ{UXI$1ru&qw$SZKh@rwQ
ze<IC;Lqcg$k*q88eWQLpZ0d)0^G_nTCZM%o`!B_W75#zzkR{~-%LsKKn>?pH{iDLG
zr3~_C<>_kAno=oJ2A;h{#zSQ({cJxG1Pp#IIuY+-V$dm?paa~?`q19u((%K~pLW})
zFvYDkn#6S<GYmc(m>IQ%`iuTLha58;Fi24C+|Banv$KLxIa&pI!v*nDIqaL@(kqwd
z7HWVq!#)E~l2FA4tu~mKgwNUmu?Xb9c%C>lY0HTeEK^zA$M)?{sIbWk?k{k<Gz+Iy
zsH|zxSL<MM6006ke%^Ib_~%k-{=|c)yhy{LQ93T)VXMMes1TQFN&@Pbg5*c+D?!U-
zO&LLYe8qo)PfIY#U*g;pbz&I`!oJ03e#e2B+HZQRH&nfEzmbU0CK@Ze5D*Q|`QJ+Y
z4cZm0Cn76&_%GGO<~EGU&Ps)2rV%8YXhhhJ1fNFFt2QVAzPiI#_$zw#{f@GyMly);
zPoOIG`F%rTVdkB19pxo*SUp%5K+%twmzsr>tylmNx}XfN(sPoWC()Le*zyH?(wTI1
z#y!rMf2i|xA3JaDFvgfR)%t4CN(3N+G8;BIU>-nrUx-28P)D0({(4~mPGqjL<MV?M
zQ>Zw$3&}L(o<yuab2v_{Hr)_D{cIvk8BRzRkuhR>ldhZ3fHCU#iIiB*v>E-Ev{7CJ
z5o26&Y*VDJ81OlX5f%z`>MW{xoGs#ur83I`)XPo^%H*p!<%xPw`D1d7ZAcrQ{Tz5L
zMc+RmYSfG6b8Pg!jQPjHqx-u6e{}3kjb)Qozd%~OSWwmU?w_{a$r@XbdB8sCRppEO
z#r_NV3leyM2Ywg=KR=&YJ!3rbnhw(r;{#ET`x2g;w<)LpO4<|=F=%;LMsHDqb*0lg
z!6=UNoA|pQhtpx_W2<K>kY7T#hVOe&BX2{pM-)42wym{yh+lbp&4J{=@nElI9|?^m
zUS1gw{@fdHEC8%?%SXyK;Hdx+IFL?cFRF5Sdfm)XsQY6D;jqPev8J!M^6iOTI>AVY
z^#0AS32`)__A<$B1}2yZ^Cuf{=kaSK22`qdL@*Ea!%n0h1#USqx^J1zl%4D?i`}mQ
z)+v3i<@xBuRoyz@k?Iq5cAluSb^~QjlkAr4t+TrC5j$(=&})MW_<~dkMD`(1;M@Ha
zIPl+`#Bb%y55Hdb#r9{^rDgjbZhIo&gcb8^?BF>}aCbv~=;ZEbP~=b6q<0Ut!vH%m
zZ!_vnX;~VpA~CqP3@*d`fRQwFX7UBQQ?w5X@Q&{Yhr}H2`X~7#8L%bs<P(`QkhCK`
z_5V_LF5xhiskW5Mud!K$HaVpyh(io|{5ybT%0rG=3kbyg77@{c%DBPC)r5Cs;(7om
zj4va=Ygv-wB<qP74#Qzbl(&<*h&OEBcyBpqp{7qhG-z~nT@KkX6f)dB?9Oz8|MS&I
z|6Z*8FBgOSOK8dx7dqqa>e3_dzh(#~hmsvhEQh{fzSKdz3r7T7F+4X1buHwkLM`5V
zJ-}xFP|sbDc;}1kC+9XkVR5oh`y2crZ~J{F7~3bM)>6j}y1Zr8^8+H&NaxXd>slno
z3#9JQlT6jEKW-ys-jq)`oW90f;Zw^cCdSm@@acp%$=4#;nVzX6WTpQuPWwsY{1NYe
z5f04f5lxYU{N&a~sIvF{(HV{IP&rp}Ry}eYtCL8}>?vqZ%NhPbjd*3M3rUB1w?qtJ
zj3id&cU<(*feuO-&_>U?GTHrl{<OmfKFIKd>QplhI1n+Tli`V?_&^7D)^12u_)kzX
zF#&Ok3Z0po9V12ta1OPrL|>EUo9*gA4<4=x%^Qz}U0kTK{cndk)#Z~Ya2=)d?rY{(
zeb*IihB6vgOF@O@F*M3B9{dyEQb$j4JK@QkV!KH~N2&wpYf7h6zeg`$-ya2m)EI!5
zDOH5EoElBfD4WmDUOA~hI8V-R0Cc0UkBcGFXP-Q;E`w-jqj8+NMpREu2peh5+s53~
zVFMrZ<+?utdo$!j8t3AM{yE$R^9Llaen#>I8bL7>+lOARvL}wK`$h&~#EeG^CAqjE
zr+|0Mk{V^0oQwZ0ISre&qn)2ykxTx0^u;IA3&g?OO?kVA#0C3*4T7rTk;l|lDRe0L
z<>C4{$u=AvUjxUbHa4rE!>wVQ^iUeW&S!f5$I}Ps9ZT|=G%J<3y8Lt%QhU^QovCG3
zA-qzL#J{BG(AU0tBiAs+uu8`l$ij=3_=W_hgA2^7WzQduU$1=#{2V0g^my;>mP#v`
z+7<KPPfH)3sNr#<p#9CEUbYz%b!vAvXJ-Y`ww;9X$yg%HA=dkL-pBi2D!ekRK2Z^*
ztKC3_c@pon4CA_yJdoP36?AA4Qo8*Y_xGLLa<pX3R17%b=X(n<&#lq%!XNHJfIyKp
zZO(vsSPHf_x)6O)3zKRW4iZa0TEa_N;)-j#9<pO@lAuGun>01~(;5uVM5xPOT2y4>
z33iF(B&7kZE@J5FN5=wyTM!>Nx@t#V(eD!oomSo$ZyWk4RoWl32v>;#7*0S-@5Js_
z5@?xOe~I0tsTBfR537<sFE9RUp@wxxrb2;unc-!6#eZ67_1ygjSRY2MK9>}$JK9@x
z=UDJ3Oa`p7hSV?xIbu?!!<Iy&m|Gb89>q!<uGG!%wg@Sgmmu)58t=X&h(K1=Lg-2N
z8SUJ9g_UOL0UR%WG#y`3(R=;<#Md#N{SgZz?qEO7TjQJCnf?n$9TM)4ZW!|m$+mnm
zU#4$LiTkew?y=gYpHk;V-;R-7;a)s^pA<3Iog(Fqx4{Ukef#m;jaI_8NRChVkgCOW
zRn2hm<7V&t@8_jiLE9l{W`C$LV!ZrqnqFG<DYCOKL+ZQ;;<6uBGL`JPgPzPcJrzoq
z@ETiN4R+buwf`Nzq=S*}{d;iXTAS%-Xg)@6pxqyVk$%mFbnoZH?X*#$-fj**jH<DK
z4!7tuotY%t0@SGsZ!SK?_|x%qM@w?2RzWPbF8M{bwPrM;UURw!K3su%GiDi4Mg|$)
zJY`BMbBPZ!QyOhGcjZxM4ASdd$11D$In4qN_vQ)XO^y2kDBGBn^0#l_uBF*b9{C|9
z)-Xklr$)>jiv*mO8ptk%Ggp6RTjf~nd4Hkp_pySY6El6STq(n&KC9npuCo35*Jk5q
zu^Zn5-{rg@zKkFZ`vnFKyweN#N&KZd=cpP0Yl;<5bz13<do1!Cd^&D8ryUgh$#?K7
zbt%HMW@T4AXf*&@i*6fg+FNEmmd>czQc&6XG_I@=xX;Za>o&17$J|1IJ&Y0|-l;Td
z3sh8xt`oH$n$$M_QR}_eyyhA_iwOK$h8196fA(?5N9B-hBNYg7?D4Gg*PZvM#%Y*A
zb$PKyw#nzJxNpv@lO)~Ge69^hT0pBnNVK!cgwPBPu4C2A=FLp2^S_7jbr(OWACjvh
z1!KcDl9|_59o&j+cg)C;SnNHrr6smWMVR+r<<G6YB6D!a$iu%ikZU#oMht14HZ^qk
zr*S>nU6FFc_mNptITtT_Z9uMRJ$iO&BW4vk-lvNCas*t*j}@>=E%!~w1|i*UiiuWU
zfaRXn^@gjR<f<R9;Dl3m#ga72O<hVo3sq+aC<a$Rl865yTbaE)Yo|TH*CbHf%FX{-
zfy3&0%7c6yH=tHX@uwAw+Na+8#1y<HQ5W|WcsEDQhUzW-uFIdFv@TU0w(COd=!aus
zE~u_*nWo^cfR{QUx3pTZ97H@gV`vU5pJycyVa8!Q+Dl~Fju|}U*GC@Hb3MR%|8VOj
z5o};MNYK^EoYau5=tO<14-SBAnBjyLr@G$8+Y8)FE8r@iGg5ly@HOs6$*Z_VP|wO7
zwg)aeqK>f7n4i)hFiyjFQS~R>hf^{sTyywhHs7aLRWO!}^h3H20DUx>Njb;q@L!^W
zlVCwxM$5n23T75Tx=rcyp_hcbEKbSGK!hTO&`}cmnJ-JqI5XP$h_77XW0twW`&C9L
zsmq5OuF<97nG|egCZqWW?==#55xDo?VNw7o316?J5gVO=x=W-`F-2ZhTNtUTc#tf=
zdtN1;TRMuAprb`Prp@ziUQ3DXLcId_NBk|oSwerYcZp}_xOuY2=o1irA5H){$!-~+
zdCH4@<@rhR{l9fMrRLO<Gpbu1fcYIKJIBCcI<G6>cht`Nf80=|*34P1JtG$Ih&qiJ
zcLlac@Y`u35@6sA)g_g83V?TCMZN5bF2!YZxj~Ky^yNj8dQ$C4Fe{K+RSZ9A0T_Cc
zkuBD+dcq0M{wMAe)vyBeJyk{|lU6Qo4eGcu&&`WX$ksXv)FF(z{sRv-B$VuAehHLr
zMIna$P<M9{%xJ(TkQy`(*0-8R7;W^&7@<=RO#hxxt@)=;L=aYXX}IK${>6@jIN>6$
ziM<E<lw%*fxzV`_RB}YN4<pS?Qk1RR|G|#Ic0jWzvAY~@4|p#ASI^x<k<z~8|G7=~
zAl3Y{jR5OoE2a%T04TmAj35#kB0sUB0Kgm8-Mq%$+gr6-#2sHMtooH=Vw{9qFgf6D
zWJDCITdXKyvXaZ`F#NuU+Y2}(z-{K<Y)I?sUgO%o>z_{0i?qba7B8PbjzK1=#uDoF
zBJF0yuc!bIw_L6vghyFDK#c(ZGIWzdM)HYU>?KDSgq2whJw2<e_?3Rkvm~AVKY^Yi
zQJPNOMagiF;4#Kioz4ZXIJK{_qX7PPY{e71G{DDB)ZH!cKkh7duQryhwjCg26McmK
z*SSQS&c@J*9HMCu;WF|3ZMrshax;obl;=`MvFVju_15jBl!Pch+5|!%0iXtY&p6`J
z|G{RCGr5fT3GL>_n}^#g6E^u%Cb!3wYUc%jef@8vCwN`A`~OPRHmv#W;Idge7!iI9
z$w`v*_ybgv;QU&)7XStS<C4%B1kxwhip>tIM2WA|ZYBW+P&}X1oNr4=^j7vw>|sG%
z$YDjV5ptA2G@y6mZAePOE>Dm@lGv^k&<Z^fzz+byZG1pYY%}_9VFvI(V;#k+=O?_z
zKp*&u5TF+YwD@~~+##+0_b-XA@q<369hi{xon|FKHw0K05G52XO;Y1q5g4!x-)PUP
zU5@JASAW>Dw`AxkiX=^0%C?fw&`r~EQ+HKh9iDXy|4>KdF4vy(8Ky?F_6jic#wCW<
z1-9ceD*`VfU4}*x_1uphR*>YWCecc&f9{6esO#mpBskdqrD<!NDj#{@tvDKl!vhY|
zWuL%haedx$1~YH`1a2^*<r4&izj6BvoU8s&?<!TQvKm%C`L95J0^k@h%h|wu$$-LZ
zO1TcarYC}EHn@{76HoiL1yz4B4qIS#UgrbBZ|p@xtV9}H9y6r=<~-qa3!U!hrnJib
z7x$+dHO*7gFS~3TZNT_}*~!$Le)7GyV*3g0YD7#&l_YD#c+uCo;J=U{ZEAQkuAM<e
zf#T!*olEK3^j!Z0>+l_<GOxV*R!yUxvb`NAER^T5c1nEq<Khe3MtiU>O<k*DE68N`
zf*^BJw7w}Q*rYamjxRm6p5$g)n42N&E2-y=i?6?6i^;pKn3!`QAvvo5=5*7gBm&H!
zOvuefd*9;;B7&>>Os!-0wy4(Q8$|ClzQ*3ax4hr^2`KU~dxlT9=lZJ_%}k#E$?|He
zMX~!}fh?wFojE3#nHz#v51$`r*)GdlR2yqK^~6g$BST8l{VgVEsColCq4w^lMEy;R
z?Sui|1_6+YjNEt*Drf;K;2oMpYP~-Whx=AFJzQsg5f+O2`NY?q6B+nmM8jm)jP|^G
zlxEZcrJz=v21t)WuEhRjMO$rB`KnQ*2Y+DM^VWtqbIJc#rEmyRP7LmCd%`5UpV>LL
zdeORMo2F~AQbpl=0avKqoe=jtqpDr7E~$?d&I$!Bd(iUzd1E^9b1j{DI~L9O@Txtz
z??tUt>Ho``GL)3SQEMhZC1k)&u9Wrdg~HT_2+HPglJm0@Z-=SACHhY%AHAZykr)+*
zoc4>|$s!<~o;Pj=>C`Z2VuKYP;h5oCwm2CweDpAY!*2Ea5F}Ku^!dn(xR4fqwkw{m
zpPY3@Y^=o%V|V>E7efz?4M&;6K5&T0lM-av<BONIRp5c_rNP}Vt3olT7-yStwQt+J
zYeJ*Zfrmc-6<>EiRdL_y!Nz&54MoZGx9TQL69WR)Rn<2XXLly3SM@PJHnh3^UOqDb
zS>^=?fWn{WO?r1_G4|7_T2Vw?;#)YamxwK`+2J-DK6NyD)r{yrKj;xFkAvhUcSLVw
zUJ#%OLw-fgoN>UQ&Ct_EXX|-*!nm|C_s627NbEh4vFGt!K8v?c0KfUSw`lp1&QIAj
z;!jy%b7g~WdYqC-OLsv3_8{c`Yy}D_v}$j{5~ofCoNCPs-wjUG?unq+A`mfj>#|~|
z4akwqfPn>>&q&$X>bFm4pBgZZe{9XZtL?W{xcWA|`(I}L3r{pm0#hHBLwe(E4&ROC
zQ#}JCYaP$9TG(l^YxUor?d-Unm)<=&5CTvIkNFrjuV~tVdOvTu8sfLsQ8*hgiBqE1
z@of=ef=@E&M%2=mtb}*Du`S8*5%t263@0QSJqjI}#A2t8>fI3>Pgh1v%kbBN{WmFJ
z&<K37750Q>ubnS%c*({uk#IX%4;YkrF!Kv0<o6p)uePcMwa!=&i4U>-27Rp3wY;lt
zZ#=ImwVc5UJ3$KEj9*$s2(*hR*m4qVphA++8gnmt1yJ}PKg&~2JQ%Jw{qQ@h-T%x?
z=M6gUnYlFI^7;cZ3P!=UL%t;gKFW_Xme*<fFl#QUqrpeEwv85Ah9b$5OkW@8Mf4zd
z-;LQ4$3k2r@V#de96ZU<L^Px%+6?o1TJ3<IriCtf%hgtsBp*v(TT{RsS3cQNTWS5t
zD_*<C<7k)a^f=Qq`ExHqwp+M6>ubQ9X20K{yda>}Dj)`CLwv~&yHeoD!6~dHpzoGO
zzK!g4%uT#j)FcBTB#^Bo@A6@b_gXeix*CkDfIJCY<z9KgCO4k^V;;Bqgi@$1q^uqy
zhoCxBcW&A<QS|6e={33HYiVr5%oSixXr<kB(2QogeT_xTd<WN<RpG!b+4KtQ9Kw&H
z;thPMG$qyGqqgN=wcB`ZyZarpI3k!z{zY;_44u{bz~85mNTc~xRX?UOl<KM4Ft(=d
zK9;~F!&{dUPUBOS3a8t8>#&+;(BST4ys5Pm-$Crk2J6#Vk(HI2yqlT#4E7pw$vFZh
zt>@w&hHMV!Y|ST$F1-IZRM1O+4WDjZ^_prqE*)-MED`bi`ns8F{Wt{47$W=+H}3}j
zi!Y^~M_sG=`;A%{-snp4k|*_x@o_Yc^VfapFVHC^P4&`XL!6}CD1uql6Cn#8xz_kn
z*;+t}0|9A;g+x3$t+iOj>f4y$!_Bt_ztGN{!e|bgikSHE^hUzd-Ld5_MOndNc2@VT
zINn$u5||-9d?V<i-?bL|eA+0kr)WXZ8P(XBp&m%RgBv~Yd00-3^<Gq{b?S*`ZZhDA
zQbBzcy-*sybEVg+B5@T5DL3Leb4~GWz0Nd6{A+M){p!-0$n~JJbj{O3HRp$%^(*=w
zZ$Itn&OcE4!937hc$=|NEbr5H7W^1KB{NEp<?^Em>C)=t-1*)^HDqamiT?-^_b8MG
z2<676Uc8q`k2;`oQPn*OKJxkfV#;)3Ci9e*3_KG9J0F3KgSM#y8`1>gJ2>-Nyj<>l
z8wDNRH<@TQ9F6L)xT5<q0k{!5mdQ5E4R|dV>Y=BA4og@k_-%7Sw1xL3RpgW*87C@9
zV^~_u)YRH!{0P0~c7cmLxUJyc{^02NJgQV}_>_5B85VOR<R!}y8%m=(kg*o#_l&JC
zw8SSfxFMPivZ7U_PX7{If82;moi8=JiARucpPp728LU=e6&026dQ26z(SgnTJu<HF
zpmEeuX1~E<PI@tx-;zR9pe#gvUD`o^`POl!WwLg*9|yYG@n+pkEpjcx8>aD#0IWwJ
z>nDw&b`yfHMxyqsg}gE{G13%~dB$SxJS`s-IIWC`unqG=RHw7DfbA&kUdHiV$Im?F
zcHiZkyALT@#R9EXI^FPAwfUPe|4iOoGNt}2cIM1Ob^5ZJxBe0~g9V4w>l_#Q`tQiU
zq@eSeU1<XI?)NfoT(IJ;21B5R(Lu*(I+i0zzQ2q+N52wV-|QO<=#P(@`%S*Bt8bpx
zl*{@8#s3n<_Y{5H{U=ehmIuY@hU4+EqES8FH`Vf`xwB`HYz5)(xFxq=<d8Moot{lS
zwN%uy7O)o|Gm4l%n9I8K0cxCu<(_tR#PwObcYTO=_8AdV8+jbiO(*dpKNflFk*rGd
zF&i_jltwH|q!ruWAriRMlWc9Qsv16^h03>aLHM|Pr9wI0O&XrlZ+uUWB{B;$n@$Ri
zSl-cXii=@zFR0Vk)joW-3=3O%`2l|X31bOg`{B&0sQGK`$*sVk*^~gwl&Yh81K#>-
zhpfS+&D0dBv#%=^)uQrV?NkWl+h6%#d!Zo7CRjh0o$~e1Nq%Luy-YWb&k%x_o8IoY
zH2PRP&~F?+Oyr*hWLoJ7LtA2rqI>i299C#vnKW8j)19Ku_IKUz#~@{$a@Pz%6gzXT
zJ)Uq#_Pa85@yWT>LVqRn0H6A=2ydVDGx*cA>)k;nv>w6RN<n$O4O35zEBc%rdT%cY
z2PO%3%<}~%rd`MVLvQsC`qr3uuhh>48)_}6l@hBUDpM4eYvJ8C2e^idWGgmO`;V~^
z{92*QG-Z^Dhk<L0#Ds)NwGR&{q%GgYJ}Q4}zU3dK@qV0($-wH;ZG}x`r2}cZ(!nQ7
zKOfj0hV~Dy>Gsrx%zqgAv|l2)9=o*Faaro|qYbkj<<fj5#!t==5Tl`d3|mvvD)UIr
z4)uKL=%<2Sk=-nrh?q`g0jGyu6cb(EogIPOym)j`1(^E!`MDw!=3uuBTSC>IY01m~
zQAzBm3q+GiO~_o|wr_8LS!caolWLh4;IM^Ni|jjvIP3pxYVh+YGcQe_@tplKmXBdI
z8+g)T!^Jsi=mN`&yZOBcEXZw$$xj9MR>NbAB0I>`cck$APd<0;b}Ym_ot@Te{m7&B
zm|cVk{i{-R=qE$P@DO)BD8PFyob<Loy-4Hh{%SD-pW?xP7;9!rT=3at{om*SX>ZiT
zy<w1=W7O_!ueWTchDY~Gi<B;!Q>#LJN1nJU=77fwO;10c7|-Uq`OTSvdxKCp%d`%q
zxnl?Br>L19E34R%q7F+V{SNGQ4%SMxfmJK@$uwCc-{J&Z$9IT5jj48+rh9nch#YiR
zl_qGDEN~O|iMq<k29LzroUVQ+K6_YzTiKI@z4l!jkP*7eC3W`824p}eK8}09xafNv
zK28u?V}(6wKc4he^1;PcO}6v}dn`mM7mm)$NC_#K`Y6F>A0DUf$W1h<to4QuEmW}@
z+b?D*{;tFP@Kmnh0aKbq@{HPbn|cpHYhbBJ>G<P?ScS#6BmW%wpi0{L6zLUd6zOJ<
zHF{o2kj&^N1`hc$#QCwp_?qIz-Q8Dx13ECp%qnE6d`B-h6~y0Fc+EBK7aHr$IyTEE
z+{@sZ%99gk`#WQ`{-OulO!jRkNJM3K_YcUBYzR4@-fUOG6;*}L$5RO}p#f*BkY-9=
zVO(3Z^JFK%-5~Vhu!YI5Jm;9%cfHNi^C~KKUx|qY>gk3@PKo^Crn8z4@3n<p`a(ur
zGC|3>{BaLR|GPfMKRtgmE$tYJA~ohE&rT=xt4)O$cnLZgj(Sj_-C<TCPMiJCA`YtQ
zSzxSXBXw+3E`#jvLGzkN?cegb?eZm>NUP9V#+Crk)0M3Oj6A@Y?~A4;3m)#U8hal>
zMn5GDRFtD%ikAedE?9fFL+{uUPwj|QFCU2*dnbmV*(O`U=mtbr=~yhj=*jVrt!t1s
zX|a}FPTEPbdmtQdH8^qc;}QLs!39sTFD<3=5W~bj{(<I?m7W}1Hap2(IUt`ey+*lX
zq<$c~zudbl@=nl?;1lR%3LbeO#wi&nFhptn>V>?4w$?v8GIq_5^@ts5yOf=$udk6G
zF@6m3xxD#1KNhJHP-A7W6%d!Bm0MQmdC|$^@m^{=Rahp$WD)=3O4U3oAW$C0f#17I
z45HlW{x$@f7Jv^)U|%UN4nmbqZFZWt@S-WmkLX6o&W8A?8`7vnFq?f?yGjeq#yu~B
z1vA8lxMG)?6VJ3<J8=0Pt+#9gtp31dicI~$f=q?d2UZ`F7TJ)I$D<M|s8dZyGohu?
zVL4=%%)Ak06}EHf_Qf^owO82DhK&ZHh*@HANx4SHvh=JZjwbLbrwL`S7CqG4oi85Y
z2Mr#EHLhL^m&@s!`s6Zc4B>^)JB*pi)?%ekdtx{sI*fG6Qh{`wDBjXEzP|dpGkNVo
z)$N72-?61Q?r;*j1Y!-94W18^^LPckaK)XB6``A@9JEKGzEQ%M`<?ezBff1qy)$Ty
z;c1Clg%9-WxVndeDfWBrVQbBNMG=h<f+vWhB!yvi)dAw+S_q#`!y6uRUM2hgVZI^H
zPT{;j`yv9E+;E?1i&jvl9tg?mO_7>Uux;caMPTAQfKkhewt{{byW<D(5pKEMPumGz
zAq0ovIrV+cejiT<gA6geTj)vW_oP`QBM2t(=!`-@=h)cMY)KHJ{<1Xo6S>rE=LJ+~
zs_^ePDFa1wkoXck;kk<bJT>#!#nO<HW^%^fy$5d=-KVBKQ%5sPag+bivX4*rzEn&f
z@>RPAiO{r`L`zi!oSMe9XlCi{i|BVpgMRT-zaQ12M91g2Lm~)M`wPRN{dDvFJJitK
zKdepkT`QeiUZcxIf~Winv8j%^nLwic-o<;tef4iyscWu!O0GNXe1ra`__^hpm8BC0
zdIYLYctky?)%+=Ch8A63RmFcjRb0Y%gsJQ3xBHf<Jluw~tj99mR+<rS-+$?3^dNpE
z6O4@?YT=9;sc-ee0z@?qXwh-jU;ZRqtDiG^dR)ag+1z*}r9CjUU_144xwSEX^zAh%
z(%?cocou+ZA2ART8Zuwuj3Za3oLc2;s<|rEk&s5i5FeM~LHW7#(<Tm8$jFm;G8cF=
z>f|(^EwE=J2X5hv5<(zX=3}buBNKb`<iUaWp4N|jGH%bXx7%qjJ}V<DN%^^Rl-SqZ
zHf;KUC=KZe68|id8zkp+Ek$>Natfa8&+tSkt3H!rqVyWeG~Z}dF>?3NDc}nye&N-p
z7wq@AJ)dl+!Zg)}H!8bz`CFW`_f@6}2r@@X#G_!sTOcB3X=wDK{`WZ~lY#o~3>a&>
zJ%%V3sc+&jH$kr`&)TW$E>>&?N3yEzTs8M1Z#?^f-q%<?kfo(V;&7Ft@Xur%m(|F`
zFS$#^6*&Y>>}D5l8A(9ALX7hroD1CfzT`k|`93Ph<s#B8*Q)lMHdpL{jD%ogq9PO2
zr}A^3T}f@T<N=>KqlW@I=@T7KXg_RqW}9LW8viUu>LWfrY5dOpgO_3srdT(uT?(J9
zp{x6FwVshepE!{?yeu*ElR2i3aw)vJIn>bCzPGC4meg<GR?V!CE*><JqKrzO$Kilt
zYq7#{_R$!()1Cs!&KaN=Cn~wJ&uG3aYr0*0M8JUQq#2htSL%bs&l<od@7M7tGbAYw
z1qA!DNPuTXDG4E6!)n?8+#fiME}OO(By80kq7W#hwRr=E1(KQsWQc?$cyf@s4s*3*
zG{MK5X`R0=M6ShNWkp4$L%Rj7%)Y?$kz#tIXcJ;IJ*q#PcUz?yI+pEuPwdtUL{pN4
z$j{G;WOB4CRkcw@kB&wQp%Rw5tovTdkgdSFg6Y>co$A-%rones_rF{x&a?ymhBPD8
z9~r3xCkSJ+N2^j)jcb%{UOM73Z+hEyAo?it2X(6WKFeqKoMj}1c}Ca2tN9Sl?W7NU
zGma#P*RKbWuPS(*5bx9!QQETm!}$KKs=NrwXLDUm^y?AKFPM*660=g3r09l{7>FY_
zz?(pm_s_B8YVXXig3iy!kp31XBM3(jEb6?77F0V+P8NzdI8VW4ayIGIEm+cb?)GQ_
z)HEKvcIQ0TmphOq3!LIQn*7eQ7aXc&Uz^0q%oHrVgQ4^XcfE6~S4vj&`?Cm(-d5iG
znO=QCZuh(&WnSMpuhk#>)n00%Re+icyUm<v*M3B=aPVfk&SIIlM!N!^q<p8I=af$^
z+w?Nl^s5EAS2dNW@Cj9nMH4j>8(A8AG?YqR#{h+tV+*l{ky#M~n^k=oweU4*bbEGT
z-jTO{U+YL;u7GkJY7{%<RQ{v<Rn0GBqI$ISoOu4gz+XdpyC!d3!PHE_S5YcsxR>=@
z#a3U&x+0SDGfXP2cBtLBWi|^vYZYc%bn5uYb<!*ohgdIh(t+djl)ZK12Sh3K&VNyA
ze%m%`q}JejM3QRXE_PtF?!PHf8;2HRr{Y#r07c8^4~Uo9ht3)SJqAs%_49bzug8xc
zm6G&cKqQ$kIehEiO>BCzP(6H65!ETk-i_?$m0bgb3di0e7+urCTuwQ;GhfS+I0#!=
zt=9;QTM&iK_B&<*x{T^qFwMM@?B|mTBteom2K1x-%eZ==9FpnpB%KJ0hDjf`E%h2}
z^7zM*&Y-73kH!(xE7(jdH<pt5!?xtHg7h${Q8oCGxa<5^Elt?U$}0F7f14phY&}(r
z(x3J8ypUkgN7qf0qCyW!a&q=EnIWHuTKmUz2^mRbP{^wW`M`CegfS#F8Rly8nrCQN
zlu3Qd)UN!j#M^X^7F*P;QOjCOHLX;36oef5Fl63T$aQg<JWL5ZSXxH)cLkO$T5)v0
zq#5>$SDE5~_18++Cb!<K3rTUUJw)vr@<<(%9SAP_Mu*YVL-4o?S8;28YED?hyDPBL
zo5@?ZQsF$SVUxHPp)Agkt@bR6Fr$HB$#!m-B{_>mAa8&<y=#QpfyA$sXY6u0O;VIT
zCrRZENxTL5&J=5TE}_FL7wxa2J8mb_FHt^G9f6O)Th_m=uVSwt>K#U8$ITe0+L>2F
ztG_@<w}jJ@6*XF~!ZfLTt`HAzC_-B4u_ZdCkF0NF?BV+)7ly(~%DNf9W%t6&04k5@
zX|m#(H)|KEUt#OS2dN$FrT3MRiOR*~$e?J5<6^;ecIQ7I@<Pn$P~PS%zd98Z8MFNT
z@iTn~qTSa|dpg1&AhN<np|A<)9CDK9@^$wlZhzeqcjh>ey@e!p$->Z6iJN*i=oVc*
z%eaYJE$6iQR~${&4yS!#D&wzb$fM$KTb#*j#*vQdBV4pe*mRuQl(zh_+HVdf8{0Qj
z#!6DZPv8VYDrr}PfgZNM6`5(NJ}n_W+%Oat9NmRD(P7vOi8+I{@`U17*@aX)r_B8k
zzi<p;f3Tlo6{sD4lGp7Dm-6sLl&CM3l9>7h@iW9;HO#!4yU35~7bCjXNZX+~(HgoY
zI6_CqSHtX}s1oRrvFVF9to=LxEkO2jC~pJJbeiG+TFrVkL<6NkB~XFa;3%cZWKtcG
zt?NH(KGSPKZzEy<@IF30B4l&w-%vhZ*|MM^Bz1SNg6JX6#rT9FM*rgQ1tlj3!?b1Y
zVVS6F9c=eGa<=yM%ffz&=FnvvT_A-YI~!F4&&5C{2ZLOf`%OgSbMm`JY%$TGz9AaO
zU8r@*81){&ETbWbeH*+bKC|*l5IGy2tuK0l4tXR+?^gaJSYC<gfK05JJuwTu&J%J4
z)z@;vv6X_rXmFnBAvvBGiI2*_lAlr_1q1D+Os}zzZIfTru#tO%7?B*0q4Jclq3d7T
zu*VuEZ)#f0cGrqW56iGzTtS5C@ioA7R>Moq6-VzvtvaY<^vjZPBnz6~X5vh7<4IG&
zjI_G;g}?)LJo_63u7$@D&+Ao#fk`uOqjxB&Iqm0lJN19kjKIbAsJ<>!uj6>#ZWpXw
zJz8Cx9YszpdzbK7_tu#`O*;-xsgY*grZ6DO3cD6JWn21pF@_YiuGkW_0OgmISmK*p
z_SplUDttYZTl0-<rXc&=5j)QPkP~f$8sO7~`G+V<P_|Hh+onj~VwXRzUKmdGqWpX&
z1lO`%BYSGx?{_*ZE08-<VkVPiqKqVKl)3ahjKK4f-nsqiENVWc^?BscDDo%*e~|x8
z;arO+wWIoZy0E@a{WTCasz!Ci9KY^@@-^lmOuO<ONv&Ou+I?u8*BEleM6DgdF0JOK
z?2ttM+K#y8=QOyGQC!4mn#>9(!QfThqE5Ry+5i-{OqCitg67{c9NHtO=MUi<S)F?;
z<dS8n2U@C((}O)pVb`3`fuEMVqN`X`=Oy68HT?5uFLbZw)!X`UrVHRf_OeYTW&rX!
zEk45kx=|FNm#yAEqL*-HHQla>S6qE8bS0fuw63PpdQ^9}#k)|>V&_t~B~4Vw%OQm2
z%6MiP*{Mfa<IOuW?tBfb)8DZTM;Rhoi;;yT3wATbHG-^iVe+r_{KwxY84wNx&$f6q
ztbMjk4~G2vZbg8R)S)0!UV1yx+3`nmvc{i1>18z<DX6;>y!Z4VCWnUZmB#P~X`{mr
zl4dw9tb;1k(vE5Z9mSj2WtKfz3t7tPL?_t;S!mJfAk48MgKOV6Q=piCu4g>{O7*q)
zZvn6}6}}a%fc6-4t&r=I!EYrL@&7qlrJ?mJ7lAQ<BITQ#b>@jkrh5)WtmD%fqahX*
zO)m##OnlJihCdZS5!)8pL4|`>Srw8JjDGB5epT+{AIeATy3z`NTDk>x`?PJZDr()Q
zn(%0!D|%7NZ#5G4O*!-YtJAGn9fV0udgxt}Ce89p2kW*#62$fM=YyyxUxEEO{UjyX
zXrC`RdrHycEpDTI`=5#oG*+p2i?WV#F57kNn7aBXFuz=WY2rSPyjLy7EtWOXyq4si
z5?!AI&1?1FcbjTiFZ!LKt2wS;88)B2CJ|O!WRS(2q&8)9Nzs5x;m%jRxi(IrC|xWF
z1JV-2%zCrD<UCrb|7ZugPD9v!_#jc*k)PU~T%W=xq(vATU}WT`k?eK5fWfLH8OcN_
z4Nj>@e9dA`k+?kA9PlV0sM<*IwK!nuO^lar*@<k}(CoHsZYe~}KX1?$bGb49j}CF_
zkZ<PSd~n0FoE3=t?yicp*DolH#5oZnJ|X64ljGEw=zaPk5dSyo;q~f%n%6TQ&`Lg#
zNDyYuQx%uke`<IkP!ef9WXUhdy^3CAiF9naN0%mYWnhqIou`6_McShkQ|b15#Z9P;
zJ!~?X#&u9xqWFTM-UBxSS`VX-_2VhB#lDY10my#)ni%_~UsTykjpSpB{`{m+=Ulse
zpZDB{oC7*6#D)Cg=jToPS(Epe=F#}6X*Z{f0VCHr?c!V%Dy7}BJL!E<6R)z7=h2P$
z*HBoAS?;3oIqQ~DY#X+sY^kPavPz(MYiwNT^{X>9%U!&(Y4WRrJV~df|7nXdWAgL3
zq(R(49BBus=bS6usVichO$OlO`f_a><M>nuAv;AZ<|iK|-m(_Yh>tNGU!sW}7Zk+J
zln9^d1JLplg~2@@_cnfs{qdZBY0XdQLz`_G>=lU_8|p7#?jX8Hxu)5%@uEki03E@y
z5L);5pFDZ;p`a!-rVKMVQVZRoRys?YQRK4fG69;H`Nza0n{!9hj)qXiQ^xZo7V5-)
z4nVmYKA0*U>|4%AzY<|2$fx2ZjP$Lx7vn_iUJ1FLlAWT0G7|}5%Kc(`jo;PFxMgYH
z@R^DWnTPJ5^cK0PXAjb9&9v_OHjEfqn+JrbXG4paFUfBkm6$|QFA*Os`vDPydH*Hj
zo#4wNM#=Oxto^u~X{z!ceh8&Qhzk91r2AMcRd2xAxuq2EM<0CF+KtJW<bI!>I>^H2
z`l_$0XeiRFQ%O*cTuk$@`b&*=Z=u*ss|Pb^8e@s#{4o#om0bo2S#6XL(_xBw%FTiA
z)xpT@+q4t4TOg&7USq2Z=<<5?{Y+I!n&xY<U6}QH)%480UNaiV!`7PYGs3!e2s;pK
zMb4^tZKt;PDckR7I&EsfR@R!<hd)>{LnoVC!U(s0s~f=FTa1#A@Xt*v%8h@9_&=L)
zWDZO!Kc5WD44krmr}yCMUo~w^&iAiGoOe2QP}M5lHAP4E*`yL*jiWYpemlIDA02&b
z%g&$gyj5qwJZcnr8DfR)U(7C)s7>y*U_6i=7toqDUcZ##VRXrbs;-%Ai^agz@!o3n
zFTbe3KHJuF;PDBLAQDs>e6sQq`>e8Ol$<t6-IR&8D};vG7;d0(J}U+Rep3d~mPKxL
z@WknqvDQMw%8HNr{*#CDXZ#RleBf7H!kFE7`%3+0;vr3A1@{$Ky2vTsjpcFAZq7{h
zl`^VgmGx$)PNVL|L&=A1nk8i-d<5#ST9>L|zNpX^MrP1nQEB_GS%Xg_0{g)excI)1
zYnqkM1<^pg?kq7yx%2g9gKXoW4yXFK8uKKh3zLo9?}qbp=?qetJfHA_#jYRg<w9a`
z(5cb#zV)v@SRZDbHskN6AcJ>YK2~2wmvhd&88+@|=TWztYPr$SAgbxI$~WgL(C&Fj
zlyA8FMN0wWM%{Df_U}VS<Y-NHTzMq3XgjdA@Te2D2RUgx8mIR0W7F>&UXhz3@9*BS
z|8{goem;9}KX6(QZ-N}`Sz9Y-hK?wv-!VIovC?bpV1|?=Dd)s$!zz7RvxI*sfBn#_
z;yDfPN>Qj`7(uDeH&w1P`frAcKB!`pU&G$}yrVhS6Y%`o`e~&`&i?PRnfG?f$v4nD
z7tqZEaZtP*_mKqOPC79V+7r`u^#9k^cZXB`{&8E`p?pJTc4Q<gTiJVNugJ>Y^PCS+
zNGLlqIg-6M$Eifwos2j*viIiT96TTTJ<nf{>s%M-@)_@Yz1Qn~ziz_}PrNdrm}+iW
zX^Lj}$kF$N0*Du|(!qO=EJZNg;@ITySy;>OeT4ASBP|3yJ1ZsqCKWv{z-3DbDP0uy
z#gpiWefV2%QH<|KjaHvUSmbh~Wvz~4y7C3n^mLL)r5~rs{kW-8D)QX2*uIS6u_J;W
z?J`p|_~sJFf2;oUJ(7-#yyVTl+4tv9;hUQzAYnc5L_G75JQ`B4L%ws@N`hFvv36J7
z>73Z<4FBu;9c_H@&gTMM*6fOuO;5N`>)CCyckHbc`+IBZ59J?Wa7gzp2Hn3aeB=1T
zau+ss&Y?Y?nx2cq3v-mSM0QN}e+5C_?18G>@eVsLd)aIdrcFmg(LlfU?uaMKY<w@R
zIRIDyTHoET?zlLjR`&3`5~D3<Z`@l5t=%~pjXWu{>WAyiQLOMU9x-QcDv3oWyxw=x
zd((l4If_v4#@EAxrK;IX&Wn1B3ybmizf4n;v!Q1lCcxn8YpFzwYJv#Ym>?6DvaoZK
z$iCRWVu^Ws@$w#~)}!5@EOW_sr)j8o?gOuWL@9fIsMwTY4p`|B-v%=ZPtusK!s}OP
z*nDIMJMQ)%_V3zei<}nr>AhGcylh2JiE<ndO;-CbTb)QCgK~AUY6dr6bThSeP3J|Y
zi4C@05G&<Tpntw?QkpW;h+|op`-V_c=XRHl_3%(kw}Wrm#{xV%1?3<&C_T_6)J>Q7
zG3-22d`^A7sp?^hRXAQS8=tvC+z*YeW0_Vj885`HZNq2Lv}v;Ow>M9iZki|k$Ywu}
zE~LYyyU`_9F`Aq9`}E=ZNO3O_YLU}**vWScL!ShLBqgV7Lh}8HLpvg^-0m!=<`pyA
zhYBgdw}Cdp+B1_`HJZeMEjK{6nmY3Re|s43Z<|b`tfpY|ul(W!34HS6;_0tJ1(S0j
zFMm!9GRG>s+Tn;ct#d#jayGNt$2cbn0Y8oBhF+&1glccA2^~{|?pAHd?@zidDXuXj
zcI<c_FDo(wgYSB%S+z|{f!VcidJ~VIBYaYySXe>LV~alw!Kwjqf2{~Gcrjl~eYA6v
z9YV0D(IDoZOXOM97G|IO8Lm3}e3IN!BtSD!q-7VjAVae>++lZt|Gjfn3#34cERNf~
zUR@fsoafHleHPh?Px8P=C5_rBvXCxEZ?=#qlyo;&z{@tj#K>2h5v3v2$+Y7r9d<fs
z!nSfq>{}6;BMRted!F#vkw=F8XwY#&{uw-A?0k@Jg?dIxFUr160M^$Xrf@r6W|>6Y
z=<O_HhY%-#Sx1MPK(%O>?3)g<P}b;Rg6jW{rM!t3FomhwRh*tVJl}duErJP?#~gou
zI?LTUVdLg5Q&5)2u(vKNJbKd^eLsVNZl{~C;o^*}22i9N{ym{>c*OHbH-x%iE~;m1
zD=s>i?;ZV0Kg*A&F@nNwkZZ@p)BC7coPs?T6?xC?O=oP2kuKl8rdsA>I`AKn7vS~x
zD{Obs{yj^>+1#5b>bVt3S(~v?Ny#bb9S8Cu0^Z*ctdO?MM&!5!(BTa++vUb1-?dAW
zpW6az{Y>%WBlYSRLJ3>O6bEm=p`qgF*kdcd%Tjl<nLhJZt=pyZ^bmEq-Twi5b_eS@
zrSba~N!K7!{I5zSCfMW{^`9|hG<8+G%lw^#wn|&G2MpUx&xVs#!C7!Y!p=-tV5S9e
zdmO9~$@Vs$S~TdK!!r+a`pA}-uGK`V5g?2{a#i*v5-L@1%&5Nw%{qOR@;s4kj<<A7
z!uGs3sIH@A3W{xpe$QElIMCseGRJsNa+!nv#48JFS<mf49Be|g8-uJ>9<&{fGyP~F
z_8qiS&eKftL9=&)TSyCIudG3Dmrh+zacNUkDB0H}c33UB|Dj^Dh@0%~uYZ6wM;Cr;
z|2y8K!xXvu#JB5Vzns=mW!_6HW|l|yJ?+{NM(E%v^Q81mf1f(}y+(~hls0~Ul0^UY
z(Zo!~Y987spl|v0#Vg%PX=25@xSF-y`6OG7JA$~D=c9CIuce|>nG>ySi%moGe0L+{
z)%<o3Cm0l1_SUa2SP)7%-#1wTpv2`bcG&uJ0nTX(-NiA>CKkjbKB%+bT(E=LtU_&u
zY*xSAQIv4_e@-~w{$n(<rsm>WJNZ+k*tSQ14~L&X9?9c5ZC`KEb5^h-S;lqTdZ)$s
zG7<Q8Pdj&yDKXFY_HQbH_9RiqCi{f-<mZRv!dyAIQKmV%iDRi=dZA6At?2s`r6V()
zf}Q6BjXzRciwkY8A3x{y%wheuFWyFE(|;tf%A|J`>BcTEx^UIS|Do?(4#0oDGB>|r
zY%TE`hmY>637TnQaKb+GF9u$5Q-R@}$k=5*s8A=JAx<a#CI0ab3h$r1cL0{RQQo9)
zF4!_5GXHJ8obsaqc%15%F)zLEcj3uWt&f&^2xy!I^|K4#_nLXX;HO8x<k#iZNR-Dg
zY}S!d3Rv>?Xer<6`u#q%OOKfO-aHRMgS@x4#@UmTqBF(^UG#DIzTcID#eJgc<pYBY
zwp%8KB6VVLp@gktc!RF0{SBiy`!Oc!FoIy->1nozLAltMz&FyrXNZ^n-S4OTQJ&0x
zT}pxpYRRyGoXgE-$h*G-fkr=4tC^(tX=OGqc8GQ!RR8xi6yft$hUA!|OOIe%Z@wE(
z;MEhhn7Z@^38+S)jr_%w8+Nm7Ega<(LH@V0o>rH6<Y7%ysK-tjT>t@=usVF|_ZgEY
zX1Sg=v1FPTV7{&>bY#sS(}i{p<E1|Nr<V37Y8%vB+sgDlQ~2b+n%B;5eBo+z{^OTg
zc&=+qC)M%YVbw%ENog?0aQM%+c!0v;2jer4XgNPN&Go{iH7(9i*N_}j)k8>+uk8e@
z$YE?^gOoC_X$`&7JIb}@)2N`4w#7_B3jqBZRuy&8UL|;bkwtHeS=v~2Y<o&J{f6w0
z&vE!@vShYSaM<GiEhc~;=uONJd}1@(EqE4njN1F|E4{t&Nyg;j6S9iFQg3!1@1T4A
zwEp{yt#eqh_qx}S`x@*2H9#;GFM9m9UX~qs=is%}?PVo3r(KVMAc=F&GkH@mC>gwT
zni(B+hm?*@CaKlFM#n!LWG%z2Gg8x5MonaV`(BK1#I72v5ba0*rN0W%FZvW&GYlnv
zBXcXAm0}rScCw<j?)VmBnml&HkDj?#a9_9p+gQ?{-Q=2Y-UrqU-0<^~dC6dO^P%^x
z-=73mWfZk3(p~|_LUckK4EmIys%DvciMKE}J@w$ie`zTHz#=RNW9E4_kmo<t`8L~2
zp?pxiYX0+yg56BJF~?%5N^XD0W`4x>Cx&lQW%<ZE=bTC5<i}oklVL!Q&i+x+y`@+Y
z?>^kLtE~^oF#fJ;qSV~E{IYKLQ4m2s{)e}nDVB6N&T&9M8%@)^Rx06XQ!VGWe6jAf
zOSSY*6@zsFC_eZU=Hw8!iMR4v$}_9Uix1A<N+14u>ty=_HqpZ-EI;5ob7x*BOG{>&
z5=CcaC|G7#%J;?}FS#D9Ikmkwb(r;!*q!f5LI<KeGLpR2le6gUjz}V!(pa#x(J~Pv
zAAlW>g`>!0uM%198X+$ne$K_fjaXAce>4P>%l!CQA%bB(4D-h!$t%fU+t7NtN$2J8
zwDM4!*@L4WqfW7CF|P+6Eh>&`dy0`)exNIHAO`mxA#{*99U;kb>^u6)fwI2?BGI+K
z7IOpLRnO_U7DhdB+;y8~$ygy_$oByFn{T-pY_uDc^fIvp!7l#7f~ah!`ZVSSEPBs?
zq7rY$bU%G>)6%=2Ns}Uj>fm3`w45FJlncm`x|<hatPviFo&s<3--)=+aSKoL9oy(&
zr-5|@;eo((zC+TcZSEO<>oy#l{)(oXP!jxOt3m5nJ-Pms-{rnTMj(Nszx@GNqdU6s
z2Tr4a=R+6mMUYR@NXYYSQ{m-)r})h;nv5!+SfTe$nq_t#5hxI{;+x!9VfUuq$?y7V
z?3wGkv$kjkZf9$cp`qgR7T>u!OzclXewOWi>+!S6)Y}VtZ8zRu$GuO*L2sFn{^fZ5
zFw>H{vuKH-V;-*Y%!>d}AhNkLOgN<|z-%KvG2@Q={i$Mhj4$TKoFy5K+>E>&Z|P<T
z$&g%&?dUTZMbo?YH+L|!^O0T0EU`(1Ap}VTXd<e$lz!I!e~QEJ&(prAqn<?Y%)>rH
z;La=HDe{jJyS)Bk3#lC2omaHK1CA{NXV8(^pkpN4^w;JakmjDj<!U_#G7d1_ac<UH
ze?37PQ5fkE@l(+R&hAO_^qc#q)r_azxtw$#iTiJFAxT}Fh&znGfE$Tm0V=sFU%`B*
zYSeqJNH^rzDAl?bc^S`RoNTn<2aKrq-;b(=SIEy*+HzIgx&vV}JW56@5t$iti#pNY
z7z`f4`p1T-OCt>%)t(}=r;5G*SL?pBNEen};1ze$Bh#la&MTm_BIGLOt>D=pxIv2l
zhi&eBHJFH}JX(rc@u|pLkG}Ktfy95{rTtar*u?0Mpxi6ZSRkg^QuC`QkB5&iX;|8+
z-U^61aB|Pqz2C{D{@P<g1pph#VqZV8z}MAdz#Z3OhW~rb7CAm?XT<HGVh3v}hPLbe
z8{{X`5!S!yc#_XQ^+K19#c1KnBnU}0uJB991PO|LiC3wa%2fMJ3d`yTw&TfWc}O~w
z5QaacV5oD`MAqHwnr3&$n^Ji5=xTq>7~Ykfz$rr=OEgui-j@?CCjZ2plH!Qsh>(dI
zyo;I}2Leo!53h37Zj4uu1H^wLOY>`Wa0H<;Xix<yuR6Cr{YL`0;JGy1(!Zv!ia2X9
zT!A>9SAfjgJZ}5z@#@>oP#EV`nOcSQ6%tvWMJ;@LmGo-ckcJx@IPl;DE<Ym#S7Kd#
zd5(Ye)~o+CT;V$ZuCcg6X#U+GXm=UgUfl|#yXu6iFNPHV@Sw{tCD*R{^#A{O(SP@H
zH7H`$N$zO4)i@&hI9Z~(N*b+%#+e)h&Ml`!KYme9eooHbPFYUQF2J&C_U^A)GCnP!
z#CxUa(kXh_09>Glhlg4>gWh%a_S-J;B5;tVrz%$l`9%ZiA^|x)h>CcR5Wy4aW^#Dr
zSJ}4J+NLV;K;z~)i=c*u+M=p7o`ywsZtz^3b5lcu93{?_^e>m4z_3Uy$mO6by$aLA
z>m<}AlpvCzWN#PD=o8EV%Wd8O?-F#A7tp`Jb&v*5V8$Frk#4UT8eLB>FSKm;@#Z@!
z^<>qy6g~Nqw+!?2k>LgU54T25Z8!h;_6f>3yy3;WW_Lu!o8yfj1@qs9xqzBh@|eaZ
zCrboZ#Xx1p(d0HBn(sUuslj{L#h`YdL&NZmkAx!W-~3DQnedkefn186zSZBw`S`f|
z8GY8uCeKxq#c((oi{$!B-%H(=Ja)S{H*m6xVg809G+warxU=_YW@aYevCZqU0mpwq
z`N65%dS!RPi|?6~{}Du;O{baKw3ODKovv5elHu_0L|6BDcY`@{F4t-2tFc~Bt^l{j
z1_7h1e!PnE`DkA=j>{P!_WWwdk<y&q%?6Fw@LbO!!Uf-!gcx~{=?ZiO<1SY@SAs-k
z?`27at9pIXrJ4Ga1&R`dXk6?8A88Y|*<hr47la@kgz=+ko)6kkv%51pa7FLT?Yz8P
z2>-Iz4Gn}WizL8f((^Vx4Yz8B`4n~{`!^&btA2Kk*oFK5u1vk}!=)i^<u@RXO7f>n
zhMl{*xwR=|cR+uPlo+9w2Xj%DGtf!b;($uCnz=(fu<^m(&pux2n)=Gx|8<|KE#$Ba
z;T6%Sk;0R!KLHOv*-KFe2#2tvRnP{&zj+?aGlE&@D@&3*#>XE0UZnd3p{Fam+a<{s
zJR7->x7E5{S%OHy^KF?r;bgd^K7j=oGl1y@SC7kSxfwyyOLfZ)P9G88*m;oURypBq
zMwkLK*n*|#uDuq4HmdFySG6o<2~)Z$Cd1_a4Q?&SB6R(+{Jnf?*oD+xPn8x%F!A+m
zcCD;xt9Q}YD8d#`E7CMFf6=!^GSfW+_HG&d>)kI$pklw0C^W*HlSN%Y{5AGZ`B~A^
z_|J!9W8+sup3)qWNPKk=zcu9bCf`v&L?L`<Rls94BqKy4HY4vF;wOHP_`n%vl`ZyK
z=Gi98H#&p$>qiX}8L8D(jdIjeL^z6SR|N-Y=4J-)nAqE9<WtwJ@R{{aA!Uw~)g-Gy
zTPOfw<S4R<N_q(P!R03*B1*k3$AK2*Bi?<iX83rgrhqDtC_LVOn?A|^&e_P_t@+v`
z?*I25kQCs?u_Eof4ktu^)TP`s0#kkZEOU5P_DV$|8M`lcww6rkBDN#0N03BFI)glp
zjZ)tH)t|pSltOCH9|7#~#ub5td|zaIV1(vM8!DmluTc!M`m<i<*jtES0fU{S&DZ|W
zm{H~syQ`k&{=i>%oIfMVR6ebqeak;Di)Td+av%|UBM@Gf@+0;4ffw8whAsDMdx|5^
zA{=jR4iP9^gA%vDGk&gWL4S)My2YLr9m2ATaS$kJM-Dy#2IVLoDxf;KP(!8%A>vHi
z{>Uax&(a6FM1d6#O{#F0g=DZBOP9<)#$v<|c~BP|WxS|96~h<aU-U`1E1udA!_zmn
ziQEl;!O3<G-7lOGA?11QRsPNrV|{|JFDb2%q*o}`>#=(%AUMKdLp_TOSGch(Xa?E+
z`5XwCZsH!T77{|X{ufLI9*UiE@KjN5ySE!IgOws_PdF$*7=pX6wC4r0nq%S+l(W<m
zEdYTNveWQh1w21+mIZML3q{M7%l{6k_F>CTz#1kT9Y!SKHzltnS8>TzDGba_SI4<+
zD21||E1w2-8G%QkSh{R&BTd>RDt1t{z?tB^$-zQ@VP}j(KYc_PG3}LI2OBNkL!=om
z0(}ZftUP~>Bfs>a^El672-TmW!2op1p{25>ZqPVGG5w#;!G~=|VPF2xN9wq?-*+zC
zcBbUpwUJT{`Py;IXWUXOK*8_<d`7OrY#G{(r{L**zOAu-Z3Ou`%pDf~3mB1GJCG?V
zw>|k<B!%3k*I?78e7T3oh`(ababvhNfv}H7sdP#mG!I|Yn>_<$Q*-wlH<q1O+jgGW
z9p3&DVn~+Ahv<fVH}QipPLQNHiFiG>=x;DMTcer{gAr}pObmIz7FOrnFUE~+dz>J%
zLWW4pyN$`*2`L$ZPJlgaxI}>6uw)eDcZ+YLL+{9MH)O-rXX?;CGegcsM>9OBp#J`r
z6N1dR>XGhPRkm>%&U}^&>3(8GxBLZRtI_ZaNcnE<`gyyilS&9Be1Yfcha@q53!etv
zmdgd@`kzcJTr`G_lN(LVJ8;KS0v});b*`gU=H+|GrcnfFmGTXO1sjh`c}JS~*Zqvs
zj;fqIgz-~K>z5;#`nnlb1lG=HhHTa2HZ3e}1y$VM!Wx_gA{6O1!fgZ3_hDTj;`5Qt
zwb1R)NO`L&9Z}IK-gojjuVD+o$#xf0@1R0xgoxOs8~INdLEpPY3(kv;(PCj?Rm2YU
z4}iZ^J4f#ATa25FWNYK&x0eUY^-RC-QX%^fNZZ>6Ph>=oVL}Jn&{D`l{gK{gH}0uo
z#~#~)3v}?0cfB3Tvm?Zip&zHy);{46ZL>qkFcOARA5|P7iB&6p97_3=l9&D$SH+hr
z?}q>El^7H5?(D@oCmwnoJbC4;fHOdW(!G0M@jtC;<}qco!kFtlo@Pw>L-@U-&UmQ#
zGLA$e-jd1$*ji4M_V{)KgRbq-K=hO-px{WVR63)MqDN@7V-gnGRNn91DWMX7SMUIp
z?E&ENIB$xUb^S(Db6t)>g~O$*1AD#)Yn^sZ(fp}>CynmpK{fySz64-lS}aY%OlGBO
zA-nIW`ExLDg8@babVP4+Di-L5iLhImPd<yOJzFlRvLR^y`~<Uqv$|FnOXY~Ih;7S?
z;p0vhW=}IZVJ+do9*yWd*fwswP!8PMbGLl&@qKw=rWQ`ydlYmR#a0?t{>iKm-b{rc
zpKStZE-NCXo(%Ho9RprdU(K#$<SreR1XD|;^>6C`EayiEzoq*;MIU^xn#ud(PPYwP
zb1t&~uj(3iaE8P~N!$5j7|-c{a^oL5(lGnlQGS-UgXAvoa;U?z>W|lD>aH8!#O=ep
zln#t@O!NF%QAz7*3cTL}lG2U{wpN#=s53UVRX39_DeZvdF@r0J|EwX}*r9zT_EBQc
zbv~&x0=~#jZa%4OPHr2*lE5Q<{wm8ElR8tR%aZTC?cy1Ch>OS6VL1n6xR$j<^}HoD
z`DZqsEjxt4$lU%jj_|FnCI;;i*0Rz5x3xzzArJdJj|cMbnkx(8<vc9>2L{o^_Z>+B
zY+Vm6^)>&nk>PSu>#Z~_{;PGVdt_C3J1KQjQgf2ku-Kz{yZDKZq}#2M#FHYBS`;bF
zHaHnba$fTBg3u9bNxhTx4U!aPfG0F`gjVP8`M2h-G%m4yVeMH@X+6C&Ns{Y*-H@A&
zHs)DPlC&dtQf;vV0jHaaXU~8WZ?s<79P4LC#JC2<CIPd}FL)+W0E4-IpA(XF7T_~+
zZi@ApA%;;4UX9ZCtC{qX4Ds^7y1F(CFT8SN8C80~H-?;fdm8^DJ%efju9|-q0eI5<
zwmW?L{H;<}ha6lpU(tf7A@46d-{iX-LnJb6Y2tOG?9Na33&1wAgXI2smUq(GE@jCA
z73}s!e&H^9DvXf&7bfbeEE?=Fw;D27EpG>cc{Tuit*-!|d3eB>Faf$uWbBh8WJYNd
z7M7TrlZ5Diy)=stXytWWKElgLO)xd*%_+Afq8sg0ae8*<`5D>BUM=g^DI8y976fsd
z<%PjkfClsY__8-5Q<&eS&G?CZlNrX$3hz_J<hj~RL_(O=x&4Ls+cG*z-=K)6-Zd<1
zRDD@;oL^8M8d#5@hzPp=S5BhVYocRA1R?TcuC?90ye*Pe9b;fc6UbbWe$mu>$}-vY
zr!D;u9YiB?Rk;nu_K&|uht;8)B9El!&-4J53t7GiEAtmihvt?Q>+QLzKUmhHWhMe_
zN^bPrgI&{)Cqr6jO#f}qH|e&%_ZRAv8^(v8vF3$~Ac9JBj5b5EM4~Z&)XQ#esq`4g
zEbV#l?K~<KCP%59cJO&F4w=J0dYDkygE{A9G1Bx@FxFDh(%=@Hp$tz?O@$JfJpxL9
zp1TBYI3OBfFmJEi-N7G?*%2A)K#+fRX!1D*VS;c+a%6vZvsTp%J@+0C8f#ZUNWdQ4
z#k{?l1#ru;q44#@MY`3e^zO}7E|S2!B>M3@xdaKadAXD6@s?AZT7lw0hI<-hC)Vm@
z3)f($+b06x3-s_w2yIJ5y7gxS=k;464`jrzA2WK>uVVQ0vPv$jXa7UmS6{qmsTu*P
z$-!m-oy+`_rQ93b8IRQQje(K|>4=`ljL2P1=01ICx)ppIi@qw6oJy|gq4IZB%B6Er
zFw8PmRT``s;&SD>ile}q%@)KMf;ZCf@*Z*+HNEuMo*QMc1hS((!T*k1fv(|$=J%T)
zc)Hi|bgw}PWC_ZN^6)EpxpR0MCBh}HwMMi>7J=TUX{2>F@GyvC_O$?fIns*|CFV1O
z4_lsR(&;`Hw7a$wVAsJjbQRHpm~TJP2l^k**!9}^2vPy_OA+BJt@-h4(r+8|c~@K9
zoZM2q(YJ#uzc9!l>gm2ieWTnUrH{(xo(%pZ3>%jMN##h*sI=GA%9kDIfl9XJtGF6e
zSxWXig}eo=mE7NAqR23j_w<@2MWZ^>ePB0LM8aef5B{3rb>n&A(Pdb>p&nUL*lA9f
zp$R4WDjQgL-q$wPmF6(1i_UR+8_?O3cs~l<c={Yb9p;n|p-yjapQheCJ<}NZU)U`u
zo^G7ZL4Zo~7WnohI_%=TH(T>wG=N<v5gA1Fc26{^<|p)?_TTPm@I|CdJTy(YxsrCC
zJ4v>+S=+d5CRYQ$>sBVw2Z=A=9Aq4KUkIBxp{JS!S-`nmE1a)`CV7mq=Uws(>UYl{
zYgz0wXUbLLof{Vp#UlnL&i_U=j};)&C(e5`G&VGCf3W%?WcVkKey{>Wz<>Oc=Q3gC
zM+ILnbv+kV-Qr9qPDjUNIN&<?=!D1THv}}0S%1Gx%r~9-49X+8VO?n7S-x5RSwZ6q
zFWjS4x>vF-gUvA+hhctcM?sDrLCy+61Z;Soyn-vi3OgZoDbOh`aTLKe{&`Hj`hp?S
zeR@4YRD=7$nv_KRei0+EnTC1CIba9pYa3I7EeFN(%x`Y58@O`ZCp=aPJX3hrOW9zL
zKPX|y(HwJ-BjIZ@hS4xdf>c*&E$+|gYSP(Kw<k9QNZgoL|9oguYOHPCc|X=IH%m@l
zB~;j?j^Nn5@nYt6V?u4ubGBKzJULG*ADr1NgCR%fm^f35XqXj{G>Im-+DQb?G3}6+
zc%|$W1>$3$38~RWG$E6*R8u_iW1^*rt8ISj!5hRa@yd(5a>$L6{{}n6?N{&<KZ~dq
zCO>GCXzsKxd1L)N2i-5;yIsh#Qt6XxV|O7ve!G9&pkAhEayAVWkN89hhiTW~e#{Y{
z5tP7#8fx!U0KwM1`52MZwKo}Fi)0ukjqM_5#x85UGR@u%BZ<KUM#va%T5uf9e2(zY
zOhUDg`tRV!)BQmAz>Q@7Wvk4FT!TP&fz^&9<^%;X*Jtbr^!``%(O_e`5>szFjV8}7
z`oi8Xyi1M9(Jh^3R;S=#C7Q};Kx<`9ScRPDngiHrn6jV2hg5&)+sV2&@npZT8VyAN
z^+uX?+4Vnl8;m#p6!bDAB>$Dc&mfF>=d{*nWRbadM^j^xe!XkL{p%TYmISsO;2T)M
z%tr=QDB|)BOA{f+hAL_f3l-GAU3@grB8Bt|vZm`1X0ZAS;nl4AsS6rQld&q_UqdGC
zLcrn>R#<&It)t`|M=)h5v80&BJLLsC5R6_{7hOl|g|cMrI%-y73{sPSZ^EdZ&XXH#
z`w*QvlO}ZAJ&Xsr7Gq5~6a&h+ht>JeV&nU`YiF%PU9E!}_5CGZ+rk5@|1G|6YdT<W
zuv|Zd3$J5j8)&2FHGU#~tOewPE_<kXUc(T-3{=;gS!N{eubkr<osnG4<RjN5tj?23
zk~Wv;H8T*dw7VsrCZfZ*27Xke?@X7L4;eg}wA>917k3Mb8>NRwr`C7W2qb<H$g;rU
z6_n}b+dn?pl7>8YT?*g>W-cDjW5Ua5w;CE}q(w}nQxD*k5`+2b+}Xr{QL9f!?Jna$
zGP<dJ+s3hnu;{yif=VdRgwOUfQBGr(@WWh;z&I7hk}unjZp+D!yO*8=7*TyXqbQ07
zPhc@biWrt|TlL)@(aVCrhsP~+^g%sS{RQ+g;WfIQg}tX97QZC^M9Uyhbt0{9^%&m2
zHdX!VK8;Y&F*j*v1z1vhldgR8jPKH!(P6uJwgsV&n{!jS5)ca4cNi0FGWM1`CSw?s
z3Q~-ZoEcr6piF%1a&ZTdrn^cn)X@*_jV{#6e@_-pL-ir9QC3o&eR7=79saN_<OrcI
zbwTAGJbK*lFdpIu3n1J(IFplO%~T6j5Fn7(-1K5MmTm<$q-nEcFHfETKhNWa4EW~_
z^+Gh>CNLfd3R4(Xydi@j?|hH;_aQ#Is0lrZ(_AF`T@!E`ka{Qs|5$O03<Fk+nvA(@
z>wWE*abK`6NnkT&_WHgq(z0>9biF$`?+fpg<lVLz_9v4`ciq@l>?^Js1gUQLYFU(m
zB)JEKASw5sPpWf6U&kG$sFN+)o98NNpig6AT!+W_-9~xdRk-OAWAN8emM2Ace(FP8
zU5g(<%e6<Mb$$v~fg2xdMf#dhC1=|jEm3`gC03arV0YOTM#BLfu&6M#%R-kgvN0!h
z3Uo)UYGaV)tLmEzPf3bS=iV6)wY~?4o{Bu3)Q(G<6PWemPn1mY9>P~6$auHb)v3LD
z&c9t_VV>+nyG1S8979nHl{CI=oKN_~u4-Jr+wJhLEShBV+fQ8E_}#D?x%(v8)`R6U
z(VSidMX5T~eCmwDOaGB96@D`8^5wS$v4x@2Hq^!$g2Wy`HMcwE_|l?)5V_UEnPfwc
zQ;e8M<-hcuMO29(Sgva^|8k?|m%!>?*QlAHZ@7D7fRiOj(KX5V=L2T8*KnUUmM@6Y
z#pxg54N3f3e!o#Oag8s2jO3hhN|WDlSK9DqZPfX+gDB(Z`@!*tGq1-B+nvHH)~~`0
z^9-k?ZKCcpmV8nmCw<e_WPZv7E;Kaa%0xzOz`ySQEJ6MvUGAJF7^a$Egea~%!wh4j
zJWWo*eCvoIk^(58z^Q8OoNW~n%3p**ht>7?X|R3%4@{~zIrb=wb~P`e6U}}NWnM0m
zhO1oxsxxvE^TZ>zinX$2;~JVy5_KI`4(;=ifDnK^nMa(T#fGJTA&}eSPGph~ekFUF
zWe9%oJ=a&8W=OQqckG&8xl+NcDz%dhtg7ggrMS_t2~yi%y#W{hy5VaE=vrs`R)kxV
z55&m2Zw;|Fl_Mo0k#72B@{nJ-j#w1sokZCk<;G6ED0o}iCT7`^Fy`&r0T5L`?DlH}
z*w`Jvb+*mk;Ux2``9J-dX9Ewc9$rqNe{qfK3>cOiCYLUrHL@;<OA<o!Hi7qsWbbT$
z<2YiNj1+dq@ZB>u(YD35MS|)LUF-v5=TbXjB?l@3>*Fp<+xl+b*A3*gS`8j|SU|QS
z&8~&Zq4LcGaW6J@A0QuRr;Vip<Bs=V$IU&j+wOB-@8RDZaba6&5{9PBNtFIQ|Fp47
zJyMx%Tf%Z|Yxn>+^}4a5wx`pSSy=zH`m@2;j$`&On>yW>o1Q8}FGCrzy}Y}qsweb}
zNc%V6Cq5307*rM|7$>!-q{6UbJ3@wg{<O0sV)<OM^}47pj@Y2FjRv4~Zy}&V`3!{>
zS<-g_rG)}sl@k<!9~$B|yq+Z)siPnN$uedoo|O?FG`F<Lh@4DBHc8MKyV`1=RujyA
zCU#)aZ@f6bn?G?qY8G#}ux22{IW%5uLf=4GU6;<<%peI-_U&noAAB8q7`cz)FNFHn
z)wKUDQNz9|bs+1OOx>f-B$1tKH{<2=bHM{9Yy!ipYHQF>mT{O=Ff)}UXj#J2EVFJT
zxN73{=(lxmH@Zbr1_5=1(3@Bi;^EO0YbZZ5=2-m}b#7INlcyVX5zcyasA5zgUez;R
z(&^%XS1HssXh*Ljn0OK_F%!c#J+Bln=sLQN+}M}T0VX3)Qs-tqsCM4#Jssh{C7O6(
zp=x;jAhP$J)1;c=9;kZlE-dKu>ejj3a}RCx9s0Fuk1!_8=%^*S+pI=(zwxi1{x23%
znqyNZE5$M%xDjssI9<|+Lk{pk+yvDuV)p}JH`&wT_Lca!zv-4gIG1wVlo^XH$h>c@
z4QM_VzQgShFWw%+F-lgIkyDXDIb@(|Hbb$YRRTYOZJf%b-i+b|oz;zXeAi!ni>Wpj
z5WZ1mbe8efGW)EBMFx0&%!(^lS_2<Xpn`reP-c^H&NJoJ-_6p`QHJIeByH1C(RR>q
z^rbU+eF6#Sp2#uw<RutNfv4#UR3WJVX7x}{M(&)Rw_7D7$B%Q@bp)B#$u%ipiNy!-
zH!x~w)(!Q;WzHgBy|kmBleX-m>oEs{u`k7-Ns6oJOl~oo43J6fO5fge;2ZtwS^r~>
z!EhqUtY)!{Iolv`CKSfl|ISe3ohE)W_xk>w1lmua<)7_cS2eWXTVWh`1;A6CAPHDL
zPp{(bH@J72&EF8VNxot4Zsv?`9o|B6<e@({kYNT&t=tNUm+R*OR=vP!58W7g@ga@1
zgx2o_+u&;wBu-+8ZQy5HACY!Q9U{2!jatv0nYFMMvn5#T+Q=CaTL}tDaGTaR^r}zA
zs*Yi7v)^1w41O4I0`$XH1eGq%vvn{-1}%*`$9yiq@KcT1JDNXh@TO7|E@(z+3slyP
zH1FD&7j-;%DxEI&E$}JbH>C-=kus^7ySJ%aC3Xdn+NZL7uBT7zFy#;(jb{48<-^ZT
za<jDNvK_FAt^5Mx8Q3UU(2Aw%;wPS=+Z*c-Zjxa%VBgg`RRR9}J#xOIo`?&=!5^n$
zZj`IvUfSa6IXZNxhgJ-I^a;s0=bB;{G{as)Zk)^rY*nT7wu`yRt`asCt5YzJ)2gFe
zTR7Wh&S2l4Fma=J4Nj{|CT>dpYaQ}!rn;u*p<zclCd*!@{EMLL!mYmlAg(aN{{?k-
z2BM7<Vdk}N{9uNkKLAhoo&5dshL!TGzDX7<m)3|^5^@~KUG)5FZCFH|d~SU_t4?wS
zHGwKe=YNo+v5F^*@P95m2y=sA<-1=l$@p|Y;dqoH^;@P@MT_!LOhcoro*Y7plcnoU
zh2T&Fm<AEN;JiFq!Br=XlbZzFc6PBj9roGr2@7I(yCcXc$HzZB^|N_;dU~2uN!lj~
zIDfvmlL}9=;Um537?Wp)8jg<YnVDt<E~#AHk5zuzQEMf0xbEC4;J$A7hO2j0Ec6tZ
zZ=wqWYb<6kTLFV&(=upkW~!j79uNTYqY~}xIP%JG5F|#~->wd~q_)48dEg_M9%3;#
z$Kag*{lWMJwFx0TK@fg+L`+0k#PU(S`L!GZD+*aWS$tX2aEgcaZ)#GH+8CQ}9@Fmx
z&2rd%Dn7qeVynRUujjRf#qRS1!MSqY3Q07PrzLT3TKDuBhYT%O#8&4m1op)USkYrq
z48QH)uX}hX%%c4-x^sU0+8UShP(_HRo(-lR$bi&0Q()X4s0W~@YLe)S;feeV`Tqun
zuEvx$vLIjgb7w+{0^t@#opF+zycYXx<;j3Pq`Qjbhy%(Lc*g{I@1^ND<mnoAeMfgz
zs*8V@&+fX<4R62am{%`E(hkCWC*gV?C?8i81!I77L>PF~^qVUlbuNwgsT<0}E4;L8
zLlM~fT8GU`4hRU=`#+z`?V>Z$^KN74Ap$C_z6qBcTcMlTPV4XRbH*5B+Eu5iY3Of`
zX$QL}*IQ4{0OygH^18ZOUJIvbP9eP`r@bI04=dXGrL6e8=>P*{=2Ada3ek13AI83w
zY#$;P`)wXc^ZiDEU|uY)FX_g;Q$2^Rmyy)PyEdc0#(NA;#u-tPv@IX-b@4p4upy+!
z9MydYk&Hou@hI8#`7rJsLXLqRV*Bsgd2$e{_nkoNbYvB5SAlqnyuGm)nj!9r!weaD
zK}t>Y*O4LRL*q5dYi|?!sagXE4!MrZeG_$c=cnGDwh#uhy$frvfc}(XSsOk$XPI41
z-?N2bC>ZFBPCP=<ZSH1KSO}enUg2b8c;!*42P%bhurodrJYVUuxgO4~Ce7P~xRfnG
zwkO|nMB!8MR_p{m#&Wp?m5yol=RQtUo~?1SZIU?6A%N!f>Utam1W!V#{n(-(5;Wqm
zZT=bRjQfv{Las7dYHeLOX}g2v%!A;_Wz}m1=ZL*=?+<D+93(TD0x~C={}`O(jG>ke
zVXLxBC#}^*I#lX<r&DQpg}D)E%m%RCs(Oa>YfW#yTV3gZ^N@dg+WxsPym%6dg0orA
z<V}V@SIqV~J(J$ysuNb-$Xd&@MIDLG25FyDf#egHZ4tcbfsb+JxYiYGhTlegL(zh)
z{dzEe8p|{iUD(gYa3S!HGo;Db>ouuO$4k<O@|p{eD(_uyMyuXZmZdRE2TmVGnEjIB
zc<~~@4ap#3RADoKY8-}Zwy;)*Q{NcL;V@~3=JV^LDZ2t#On)*T9%l43zW?#0L;A3V
z{z=4fZ~D3Bl2?}5nH<Mf>>tieH}NOc5EsPRpOGakmc@*sy?I8I*0M;_F5fJ3>Atz-
zs-LNE;u?MI7BLm4kf+X#FTe(EWRloqYK{@eixnHZvhsLQV%?ScasK0gsTko8ooQVn
za=PVr&=7=K_o`$uyaesIlU2X@;Q&*zx((qKyTs!!JK-_d37jPaT^^BN>WofU1Rdv>
zygMH@02&Tq8i=zGBTE>T&GZ{($82tVLuC`&JghsJQCVIae*jY|MreJJJL9n*zrsfY
z6JIN9zmaiUR`jZ%hp*6@8WSkKFaU)rVV7qOUy)2X8=mR7b`I3?O81@~3^?Rf`Grkh
z4rflG67nb}ZfG^U`$V_gF&F{4<`dKtJK^e+UUa?|^eAWKS5HWnN^J4-fKCmoE{2}B
z&<uQP0!iRzPd&vBNhx}OC2k(~>@<vImO?o+|2kqh6Oxg1*))yh^v{hESZ-GoN_tX&
z(_}3%lWD;c?Blz$7PI&qPm~4^^P+4A{Dru`4CKr#rshd!6ia)QjVYw}O6XskZ(WF(
z7M1QrXY~qux^K%=7F;#YR`izckve~sEnvr&+lf1IWnxnv4sb!RaJWn~zLqN%U9&i|
zd5{zW58S#v1RJvcDRoM;Z_DtR2_s`LN9sh<uwIoNVYx!xoR3Cs*~|twB)YkDw$TK+
z%Ra&lLh{zEtaZX!(`h>)K?F^-LAN)wt#aB~j0XPY69q%S!OBK9W*pVG0WzZ#Wi=3X
ze2kk5HGI_8Sz<DkXsW7M^Vd65MTMUmcrG*O0>RDV2!*0Ol2xi`!}a1mEu)hrCRAHu
z*|WscQ>GjA8m+Q#*G5cZGX`zXaU1BGD%W1{_^#r>CW%ILP9xhe@{>R7vP}N{lgr8H
zsg0t_b1t7~M#mY3-HZfqouA<2Msjx#^Xe-$pY{hx3H}l>_S=P%z44fW+NMt~w3+&r
zzNc>*k#e8<qKQ0mauK?sB|inm=)L<Ll}z1PRTmy!Fx8L;o7#WhG7ilZt?rcXbK91=
z8IolR8~1f08AhEeGzpKY#B{vZhOfNDb^5ps{Q6C}o+JaL07s_w*Y;M8T@?a(d<!pL
zlBSO($Ru6xG0Zn(nL`uzFkbL@!ih%d;v_saUZE`Q8+-wkT3Cod>Hdx^<V|cmQ73^-
zS|jBBQ`cyo>21oI#}}a-I@E~W)sFL!c7=}4!18yR$iN?$G#JUSqFML>RA23c@(I;i
z0wGpjq$3}oz@`5Pv!Z?gchQaa1$4L746n(y*#Iu}*7)U|=lMYzr&!+l<@&01^4{h7
z)~dqxEkH^QqPZ+gLT~%$*S2U6!*9pcvw_vKHwWi0(_2yYtQX_h{^b=%!u5=B-o{t7
zNGyaBD>y-li*I%rPU|k|8ip!pPc0e&KQ?AoI{@gHrJn~g?VSHhHEU^GYQ8W0-Kc<s
zzc@QEhB|9aC}d_IecVDCL!W7xLw9CjhP~~w4J|MK-rMaQ*ciDfC46Ekv$ib8%=Vlw
z8_WO^wbvSq1zKeoN~l?%E$(`3G04;x-veiPj-i9KTAQ9>x*@T>3ifV7(Cf9Q^?(O;
zYkTTmNRAiWZg07AftjWEt0Al7d^j(U2lq~py{z+f_coHzAkRgj9x)i&`Ir0=&eA}E
z?cVRk#u)y8i8EI+SBhpmqiYyXt{3_=k?`N2_hhR)R=0afHn=7ULyPsV?PGKTKE;h5
zNZpkyiNOB1Q#Z2JhKMx&((4M?NzNWB4{o;B8D*oM_uRjZ<MB|4Y*{;L8R9nSQYsG~
z3aQ)nx(%Rw(gqDofsk;esFtFANgbjHHH75n7k_1FR!#PfwLmHowB9CKCrlUPo)aQ)
zz1eF35|~>UU`&s&c^p9B&CelxLc(;YHOSY6f%r|LX`FBF*GiwsDFIe@&GNf<WtN~e
z)OT1d+7(8F$mYHj^%yL^=qzx^&)0P5aQS-XWYndk5B!`$w>TKF9fBMNPJwy<1GohZ
zJit>ZmkE-PXTv>xE<q-RGjtp~X;GGapIMXtgv$|y$ALsg>@UKD4w%(!1asv`g2|70
zpG4e8C6M0q`Utd=zFTxS^Y4*oCCM9q0B@Y<&n>Jx-#dOq?DzB-=SV`cKVouW-%ZiX
zHoD^Fq1NHER3kPE7spHlB#!CJbv17WSQkQ9rL41iq0^$>65HDoL()sop*up%2MJ!O
zi3M)ALTwz+<H#`Cx$oDuej7^Y$hw~tcUfOAi<`yex&zoY@_$;kJ}m&0lR$<3W=l>J
z&7&2j2-AZD$!qOVq!y!um4~CSvWOuX{2zkK)jP@co$amRhWHrSPxBxhR;r|B#PzP;
zmHp2qcEY?S1xXP~(x=iqY3T18;ai7xtE-5ixb}eyyvh$UO=06cY5fMaK+zW~vtyjN
z96;Ng9Bj9g($%{r2|Mp5YaY@sa+(+sSt|Eu)gs)o^vj1VyD$dR`o#Qn=xU!*Szti7
z6oFokwU#+(Vs^8=!x+a^XPr3Eka0}NYqMMDQgfJPvN_Ru*5)kruu=N<E%N3hlrTcK
z%ehHduAhG{EZ^^|?cg&b^uGo7KtpTtF+n|OW*9#_D|-2_E5Ib<6*1G*H{?Gm_bW5&
lN<i7Hbrm?=W|-8)(SNo%s)mknOW}b(8Y;TVm5=RS{2%07y@UV&

delta 67947
zcmZU4cT`i|@^&EfD$+{;0jUB(>Agu&y7Z1Hy#$d?ICP|oRHX$F1(n`=6A+|JuR)~u
z8X%M}zVE&F_s6%^UME>uNzUwjX3sqH%(G)xa1&N>%kMb?Ys(%~_BXfssJMir`}B;A
zaYA<lG8v!mN#PK@rNe#@zB<js@wAhgWZJH323k&N-IwwGEl8cf?^V|tb`S@aVtGS{
z_`J1ehLkzpcDag?&(wb6m&ucA|JQ?Rm4&Ed>D|53($X((@$2W4b4#duRr48<X)+;7
zAz<$6%MVyv011-BA&_zWVe)IQ8@?atBvyjZe@16U0aeGfa8nSNJ*X_6sfoItX(d&b
zl5(}CJiPVYxjjp-cenJ71&MR)XxUWL2$vTH#log4jJ#9r95mz@_BB0Bc5t>|8OLY+
z1tSE`cQInm>Y(mWox9<0@4EQ=yJpwC_rP{d91!TvpudNI338YtP05_n{^EnrT=)Bo
z|LryS1sQmq7~#gVFCLlsE$Tw9wYKd84epGS+LY4E?@^Y$`5OTb+_r=$4#Nr)x&1Y7
z+?Q=m%2dkSV;MgTIyZc!=gmYE7P1V(74G1;u<fc2ywg+|bQy^XmVDcZsvX?5UveBd
zC<UmO(mO-b?;Kj(!NGhHGi)?;Vvs@KEOMVz5==c$ECD5az6uSny5fQp@1bW-t)c*K
zTlzNHwuRB$r~rMYsgX<R@oI3@y={5XU}w%y6n!#x&6fMy9D;>2VX@-tMzu`!mANhz
zW&F1$kIJ35$V-r0?^Udg&|!;`5_cH^`CScJ1wq657RLI|(zYgLqmu<ecXUtc8V|Ji
zp`#ij=M@f@BfmN0^2s@8i_SaVVvEophiipzED1m-4usg?VW;`~t{%sq<yvYs4b3KW
zjMCS}p0a$v6Kln{SEp)WjdQMKKFBbsjJ4@xzQcsg^n%jRY+M*g1=9-YLB*W|dxBxO
zd`YM~|4v@vPB>|r9u8_@$Nw>lS5CqNKfY3QXuPL%PtXe!`dNnFjmu^oiF-WQGI^!7
zzkMgeBDvxnEMzEsDVkS8h;-T>C2on0ug<w|vUj$mFT{m@^@&0%H{Fsm!o`)-^cCGi
z#nD~)*TL#%AAV02Daa6C0yZ#~$k;{RF$4imbk>e7+fXK+Z)j+@0dgYDw);Zot<P3G
ztG05vJ)4sMtqx@{A>uRYwR6M8nvwm)6yxA+?(NmN-H3v0jBIti$A>tzedYX32&4Lv
zTfyf27|T07oF?SPZfQFxn@%?*3(=6mpWHF*>2Z!Z?^aMe3*F%YV1`F*3A&$4|F73$
zu8emI3HFxByN6`A&b^Cy^K!-Er(!x<+ifvWQ0J6<)M+I|ZQ+f0DKq|=Snb27hDyEb
z3SJ6Z+H1aF7ELFssVO*IGdmhaV0bD;uHYI%oJssF0i8C6od^X{@OuDE7CdBvY?Qag
znZQ0QfSdrYkoO3f!=7G7pV0Qdi6ov2@g}-LquJu}QMRID%cfCm@bSw}`TL>)6tVeJ
z(|w=RQriU_n}ln1$A7DcgiVp~@QtH2p@LBw^8}rEDwAC}Jl}%N+Q{8^o!FPi@kC?v
zvxqJ^VA`RNoe|4H&Qix&Z}$H;)or;#fM5@NA2d&~p-SiRTX!4&j<x<Xv)JOSli-F+
zZQ|?_mS^VCZtpN5kJ|JXXy?XvHC*!XSfmv>G2Z4}DfNR(3K(nOBs-)X-7bY#s-+mg
z4?R{l9>-IV5_d&-$}@^f9PE1Y;(sBX_ZDv>rqEQ)P*5EO&+uj#lV=~kxwyOrP`R(%
zylSLsY9?0txTacH(F*+HHKODl)<qRR?d-(-8+)1~oQ@<Y8D#vwpEq}FS{9M-NG{-P
z+8ML!o`jZLdQ_52JEra2En4VSZv7gz=@&x;jsB<&Lg5&nPzW!Q4?T2%Pa0Pc{@<h-
z+3(d8+tSo6s_c^~1I^W~HImOsAE7K9eDTK<5TAn!I@&~lX2A}b59J2gV2gdFMzVR5
z*8w9p3@@7S08LQ3fufyfJ3p1I0jQ%*J|gIVUT01<;hFRY2^TJ=DtzH{#J4+To)^0?
z%_bB4q$5`R&D!SR+`f(|2@1=|WEcDk^)zgOh8GhQ#y`LD0j1Mu=SOw}4q_67U!3ky
zS2TE(bZd?$%QkARvf`&=bB5(G1;o$R*iJEDgjbMC#HlT%Xfu6fV{37WbZg2PdGU_%
zXZTxI61f?WZ3jwt<9<2J9!6I48{Lx>lN_>gPn_9la;+OhKWvO;_1_4mU`);(g_NZ%
z;HK#UAl5DEKcO@>%7mN@A!X@N{&%~tCey*Wb)r!6&d|E!D1RIj&h42)r(p|T>nX*-
zsJ!Z;*bJG&xs?vF(5<Su4w(aO2ATiea=dZVCwDngV-Kmyb|ItYI)atEZ)tZs{&19F
zF-Tzol>mzg3+-_jQ#}RN(qM>v-7g7;K80GKs@nPPH(wh6dh)mTQ%C3z^SRji@hRiE
zWGFHj4aCm5{Zp|XwpU*{KT(~u;gHFgG6>5}%u1YH2#>bSRugXdMN%_ZxccM{PKRla
zv@;DHVqR5Hkv$p(dd5yIhMf?G6!&c*q>&}q)0_UyL$QSW-!P|={)%9a@25WCUQR<o
zG)*xLVHcK_&qIC*9tP2Z@om`j)3N1n_7s%6U)}L9B9}LQ?IIj#9{xIAv0O$)x%qy>
zHOKP959Kwl=mLMO3x@67=rjqQbAhTf8;EW_6zalEiMA+4vgJv|=?|Ra>Wd$J(s(I9
z75t1eWMQ9&WoNsUF4g<}IJ!*_5Z*FTJp&&ljmU};nLcBk{Q4%CCFVl+o|WnYPu@Ai
zTv|<CY($^6cpK$;y8xIKlLsFA_7a`sL0Mu>@&sGH*pD;_r^Hs&W{jha&l{s<M@O-R
z*N9x*s;M`-zE>CvUb;2O0NK8J#EL>GcsXLRt;`H|A(B+$-!=45<Cz4&mM20EzpPHa
z3(R>0Ur0WZeefRu5DGnVDN1`tk94QIC)5AFeHcnKqS>C#-pd<oyL%*t6t{kp#vWQo
zt{|-?6p#^{gEzF<bp4UQ|ML*hc{W&WT2i?Z>!93(#+C5WcYs5Sx`(}$NSr8?y}g0u
zgk?E@o&NkqLZ}OHUw>S_kb2di#sr^UM`*cKzJ2&lM8HFm#dja4-%>$41PIgb)(H}#
zEWWX{SvUpvly*7<Wb>WWCYr8=C!rE#)>f?*8NWG3J)L`;694Q8RZD3dVRV<nrSZ`;
zv@*vZ?N3Lt?CkkrCSGMs)iqVIBS;q%Kj;_B$fnrhgtue~*ftVMe#rakw_&IoT7IuU
z_#ofHE%@;x&G9BloRey`7D;3kLXKFZWaNOg=;cVQ;&-3_x=?sh9#sdN1&<}wQef|6
z-87lX3xLkniZW*RYjE3hst(%_{*Z!T#^5p%v|6w577D?Fk4nYT-&2wnRH5tMqm72)
z<J||u(>lA|K}%6RxxtdNG5a>5Piap+2Wu;={6yT~Z0|vWp+)RB$osR)^IM(H^z8F>
zQ}VpF$^l$#lTmXXLRK${*!Kg*NA!w81`65_=j!X=YQjgd(tFQO&KZzSq@<(D)ky^C
zq6`+5Mb(IaDbC{Efew|1Ls!3t)7<_g$XUR2qcn>3@0N4D!Q<<v^&K@Lf2BiKPEi!k
zcC9iw$^{+sc69m7s_+1VL(1nJ@ygWmHzI`IM8+CD&tbX}5_TaTx_5_($jSesWywYJ
zZ-*ksu%4*kLLJoi^B_U0|6nQwI?E>%^SKY^xbb>jkUC9pvIE9Au^!!acOc|vxjIS6
zN{F25&^0Ga@_;yw72r9TEKl?uc(^ZwtO%JfSi*K^(=TQ4Mdy)f=Bvqdh6em-7Db{E
zx1iWFJTL5x7Ix}dunddSP-ujGd+1~m{Zyaqh*P?rPWead*@sBu<;CHQ7uAw?U$VrP
zlm9FdRg_)6Vdd9|$ur;>1KMCk(Q~60p(Fj%-KIId95JVP87%$_ztU)Tv(-$D$T;gd
zfP}E30P4%{)lej=?|y1|sX#7NlzMhn87BY|b37RvG(ssoVW*q97Ml;m)W00d2Qiq&
zn9bK4B2eF8OOqVBC!KiVkr#rtN62{`QZw5J_GGwr%3Bj4)enV$1U@M_)=$<tbIbqB
z%d0Pys#7E;N(FI)sCe3_lY@^wd*237#q3(^zqi6hW82%}T-@&x)w|c(El9Hb@vDL>
zNpX01V<Y8w0Afkd&p}Diao|OlZ8^+Sr#DQJh+P!iEdA<vfXS%n-9}1dGt*}#_)cH2
z_~v~k<$=c{z9JE$XL<W@<1{)yt5Vb#svh3^?_P^Bn6T8y68_A;!2d;e?ME>(9dx-#
zzV{IBPdYIn09>t@8JPr7@gebdBWNUpIF4jrvhOeaP4YcYw4#rtLdbU?f~rF!3FT!z
zZV!Gm7mCdsNzTz&ay{#;*ww(PDcnt0w8{Aq1dxtQC)G7Xo6U3cO$Qj34-0qrmDmE<
zD$}45=&b?L0BPqiPeh4;5v*;>#`c3$GYUUJXk<t_9v1lro<ErVuY=v`Auo7I_>4&V
z`Q5@H&|(54Q+e@&Epd$MOE>&xocZ{}KQ!SF-ww8ivn%9+Zb)H$T?I1v6<zUw<BtjX
z^qMXY_B07yEIDSsvWI`z_qui~g*@#R5>8Jyi$Q#bfq`xN+lV$#|AOmI<?7M!8r|3|
zRz2oFtgep(XIYcO$UP_L;Bm<%!GvC%x-Ql&8wG^6T^kpnUJWkqVh|!SlcF+<mxMVd
zAr?lWvE@8*4`OS>S>pn4m6M(TkoE#Zy5gRYv!5uZal@-sk0-@)V26_7ED`6)VU++4
z3~o_$H!L-u`IOQRLJeg}93PA_C;lzbNK#34VOCKT!+KPaIiU?XI<O~_%<p<QG~nbJ
zh947HNhn-zt<=A7Uq%_iOhh!w*_v5YCg#+x>S0z$S1V1MquJMfH~^}0ELvSHlNG7T
z@7c*wlQ-P*H#Mu(#FrEWP(7&DJ(*P*+kQjG^1b`QA1%h>CV5OF=FybtAl%~qQ_8fr
zH#`P<WnP0@k8hj5RL7%NOzAtW-1?a%f_P5V#kVV%VDB%a#$&4|#=P1_U@UgWQ(Ri&
zQ25bBCyMfM1sK?enqES(SqWCcUAB@`wVEeTVJmZU@FB_V=oX_gH}4IKz3VqJT8Rc)
z0}nrc4wMNHocs{VjUL&Sr8+iX-0=1f4|HwWyJpg_RjA{4c8~fd_9guxhnt3y59ALU
z##Y_d-ZjqZHu|;UyCn)WI(KAPl=HW;IoZcPe`v2k19u+_p7eGOhA3%_8PxLW6%+do
zyxHGPlou6ywZcdKkKHbGZ;%3*1&^bie3WD_FAd%aRsWH}!TH*TZ5p4gzV7+=08HJa
zP~|l7#Vj}(>*0G1yPi0DrD$w}w<X~*3`N!Xfez`E#>CkU)$ovD7K*(-Q0i(^W96uU
zv^wBwg~?*^&AHae6PD8*myBLz$S9E!6L%N4=4cG!i>47f&1jo}{Zdct*4$8Mq25vY
z$~fVoe7QywozF7-V4frkdIYz71z8|{fN#&U5#`Euc*;yMj{!QOB+4*a%>L*hVthU}
z-U|&y>%Wtk9sUHgEfO^a700dI#ZjOGh-Uro`@9`i5K?yYTCRzs*qd{$oaK<p;t*OY
zPB7U>`H5=A*2h(G`2<yWttY>TO3PPwwqVWbGX5CAm4Dxed+nE<c6lefztn;;b?JRr
zLaoi4#wpm4WZdeE6j<thW@wCmQNo*(QtFkkXik6G>L%ShHM!~GohJkKtK)wpfQ^lo
zvtU972GbIPr59`)7)%Fu04V)O*FUh%^<7F)u#v>z-eL#Yr$uUpD9J;xcixs2jJ4k&
zQ25dg=44Lv`f@LB$^Q#kSmOdjl{>C2kzX^u7psS&wed%Kdc677`EeEKlrYt0&b%Xk
z#Xa1oya;}<mPY-QNDEM~6P<d>QB=|)9j}j99dlwNKCaAk#3R%Bnz<CBSD>o>8b10X
zfNx&Pd#SEdM)Y^kE5<8(^oXa(3z-3&pYmKLRKj*~;@U0h3}4y3#XMpew-hw#<}<3X
z4e-Z9a&*Nd?zRjsn`>ag++*42vhRdNF?DL@5%cNY$8F2dTNwaJQzfj03nx$sUgFW?
z!QH|4m;2#2Qs4Pz|0b*)F^*#WAKV~K!|WcQy;K`}kM22Rz|5&dA-O7suNcTHx%J^H
zudV)6Nj5%BfY!&8+?A{z>@eL3&u^imJnkY0bn4$o&S7JbaO0uzV@Z4bEAnFqjWs5u
zySV}$ci)XmCOw2u>?u*my&QHPQmB;@4HloB^{K|XWte_x_e{qKKbulh7|xBsrra#E
z^Bd7;K_q7Z3b@g_Cm*h4hz0rL^4-l<^J_GPqrW*t4%rpCnGWxU_h22%f^LQ%7-@vW
zgh6W`NvR%be+-7p?}NA49Im*myHQU+sM-Vb|0~Q2x+1yj+rR^yES2I^t-%yY%o}C-
zm_VmPGy`J4o4$4WjWsj!lH|3C6q6WuLF8>IUKyw0q-x7<0NZ}a#u6pmO5ls@Trx54
zdQmXTL`;Dv-g2)o=?IdRc3UZyi7OpdZ)Et5Jb7Xa?>$ps#!uC^_A*FYpos(rSIkhU
zl=<onl;ykhMs|@Ld>1rFwjWWsK8~G<dTmyY=Q+%~BjdCoN^u-g)2NF{WjaOLVhXB{
zTz);zJ-gFCR40pb<B+z^sf6y}yj++O5p3n7rJOFOt*2G&O6EM0IRy>4GPG3u4T1lR
zI1<KuB-z36-C;SP=0U;Vx=e+LbVfkq`Oe+PQYFaVi4mu6UpdbH-UxJ29o%@5{m<v8
zj8EUZ+N8)&{(f2hK;Vh0*DBNGT46GCVnB@YB6>GM-N_>JV{I|%m_(5;>Ck@u(vKq-
zB3|cv2H$^2zOgRje6EaE2tw&Njy#js?6dL-d<E9PffM-xU<a4N_B9oeRm$EkYWgj6
zB!h!*UH5NIBNT_O3C@#EXtc3!S)FC7q>9vD;fXM2kS=)UE%UIqHj%eSfU^lOG32lL
z;me<hH+rrR46)5b1MSAGG2QC~<#|MViZhPWc;~|9kRnYeQBPBQ?49|S$;FTB?byzj
zB3Mbc)&b~#5*sO>Ll&{WC(N+DyKRWYRG9b#pd<eSB5(_Ty7)l0r#m3@)^Ws;s`xUb
zrUi31I-DoA-#3`bKULRO@?@lhOfsm={RrTC{(glk`c&v=7Bg}7^T?C1!ZCs50XMxr
zaA|c{`NhnIx~E~ESns*&*Y~PS<5T=(a^1dUQ2<^tzMiW*J5$Ry{g+xSq+TmfgbT)I
z-cue0U-ZQe5|=@UxE@LGP~t791Sgu#V+zl%SG}BZUYU7?FX`UxyS1C23&Ao?O5YQ7
zgkU%(CvtyF<0n`F8TZdQg{5sNOBda{G5O)|BAt?D4}O{~32@ho(T{(ETe@es02pi{
zRx7_~eyEx`l@uGTZFi*0w)ZhRqvN#xot~0|a{i|KN&d@e8kOxW!xUft>5ApFb%Pz7
z@6z}43K|78;)Z<It(M|b+T+h5H@q8(^6=41;$DX=u(?CT2SGDI<DUlTFm%gR>!pbK
zyz1CoWcOKbQ@0GBfXn_mc2sQrGEfC2GpTW!;BW5(z1QG;WZM%r>MujYC`&|Rq@aq&
zTf)uaKljWv{0fu16yBMdeeQku`PGR)0k;Ll;|ltm3Z4hO<%?_fd4-U=SJ++_jEKo0
zxMWUhl@%QN8qJyCYOc+E5@DI1nDJRca43pK%#G4_P-hh9y`8u-lgg--0YJVN(tZyi
z_dY91!4WAzkQU<8R#U>m$7fV3t;KU{4=Oo*Uu8FVY0`lHyM#~dSNl_4pA?h8_6OcS
zB4^n>Bv@gDkEy$@i)OkPZ!WTpG+Odx>&|-A<j;-XG?vPXO?>)l_?55qcF!SEM1>m0
ze!v1B-vqT1%uBMd&q7Cl41#-p4L?92R*<@~f<7u{l=%nr5U(7!XXQ0KhnwLMiAd*l
z02RY%TG-S6`J55KSgsHs{_^)TQ{>MBcdfz@l;ip^AJ8>DlB&oNFDP9OSm4(==Fyo0
z*<;1p?rP)TGBq8CDONxR{+NPB2ph3amJ#lia;>(30OiIa_*kw(=ViYh`xWP?F?h?G
zAYlViB8UljcW1R&Yr*$b(3tRR;Tn$i&ip9K+aL8DP8Xfav4$eJ(6W*t4JFc{P8JHG
z1w7lMPNW+UErDVExO!`zoCa8yH4U_15}L0ycagc!zqIKZVd;j*_gsbpsJb^}i(+hM
zQH>_|nAG6N%Mw`Q2eB*e%cmbgqy{U?X|lj2y8|x%tzk~MJJ?RNYPrO*Iby$?OefI+
zVgGgp4hn{)$|{?*_VXL1>f{SQ0fiO|dtTe3C82I9nP<A0Mjyx5B-%WmuLIer+0@iz
zqf)NXJx3&khH?NSOm?klnqeUQm#MWFvZ<ZF-6EKyo;KXZx+oMa-G9s7nL$0jKJdPZ
zb}a`&hNx+M>fEw1B(-lY6w{@L90b?Ub2c8#L2rwVv&BNVSkY!h7h;saCiDI6jtNra
z63B_n94=^nQZ2J4e_)lN_7mUwMy4eSp>*#vwJ&5m2Sbh_XBNF$*mrxb+ml)n$!TY(
z#`j#6z2Ts@wH>?3AxqG`d}>?;<J&&}4Ag`k3#GxoHKcNQz|!oha={KI`+iqpWKQ&$
z-YD;w_OcFT-HI1*wc(MN6W)5MR8<Csg$7y~SL6ueP$Rw!j6I^KfF5w{@#rLn^wq+N
zrl!|A%j_Hx6(#lEn)>Ca%s68?!CrrKLp6f>{HqDgWaupUcwPq1*QEUde=Z#<EPJJ{
zC)PZ#m&k8hS|2C=Lt;Yl8cshZ&zsjQb{|g5!d^op0pk+z?4YMVr?@iDx`o`xY3Uke
zPT4QowMA4_xzlS^vi4i+?`Km`!ypf#7F@~~egrV-?Ol|L!t??C7v#;?prLFMCfmA9
zsH`r_%u!27{7yxi4cl1HgI?x<9l)`q>`fX^p_cBG?1%P4S$;nA9=-Xa^fMDpO66rU
zWThdvfJcRl;v_i8{`<N(Z3|9(9q4ng9C=!nW8lQs+l4EKNzJ#G8owF+5Z?|cKqydv
z;ug%Gc#r5Lsi(<ei8z6Jo-fK7&!powq(cr{oFsHM=Qs1oYvX2m^YbBSJSKA5RF8^k
ztNaJyX!OYo*oLFE_>kLbm9ry?s`f`fw6hWht%^E3y>nHMRE}we#1{(Im4{jbOZxge
z1iT7<wGZAXZ}jGG7qbeEL^;bD(%hPV71Cyf%1Ai6)syv3Zj7?`^zyr9aUQsuG!l*t
zmfNM|Z_rj_`(zeY;7yZ@Q=KeEc*{G{K#6%<$>P6ij5oD?^RcA=H>w{2Q2WfyN5Tt_
zQpiO0Oee%YRE;|Ml)Mie8zggzP`t%bZP_YlG%u|6fYh~YzH<+R9)8(=dNpKzSA?zu
zf;>K9X}I|uUg;E<=JOB+Qt2{_kA8QH_4Xs6oE*<gk`;9rpKCpA1#XT%Owqo~FA1g%
zDG7-eO2$4Ef>Vn_rl|`6{zcM27T-^~hk*<k&b>7>=lrny*Gri#A-EZc877$20R(v+
z-l)`If9R2*48WH`s^DA4xo_>#JRT*kVw?Mhw%fTlJ8>5>#~eM>D^nTmpF9R(zV+I8
z%-=cYuOts1w%m%F+1|kB!1(X3*k+Lud-W@4grP{?cJfeUl`G)tigIhaKHIXoy_}+W
zQY;1HA_$dH<r-^QzN?dqbuBO;7yr&qG+ke@R}=9m?1um24c5&mUD7gUBj^1&rh$-L
zK16~Y&=1G2C^kZCDT#1{yQM+^NIBCyOV};tvqf)ZzlhMU_H;=L5=<x6Y^gb6Nai9-
zqV--mf^d&WU!b12^G(732M#~!e4C=6Xfyf)|5TRHpJ=EOJjJ6?-Q<iL(4<YIUz8O!
zdJ1ZdZZ@I_vAnp$k+R9E2L$JCOWNnJJNDqHf6rf+Vbrx6#Yr86X)$)ukfsjGp9UeB
zuy>R^$OqHocS(L)cg$Va@G|cK7*NNE_j_3&PE<0}YqAFZ`t1siRFinF!lTa)FAITu
z>b6nnV~X+mS$O61<r?ioBy1&+<{ZdSLz^hMtaxv%e2Aw*!@g<Qwk8hYmnJ|wgENB#
zZNIs^!#T<hUWYzEFRrlt74jLX7<hLH>!$99uK*SU<&a|s!FP9RiG3yj85w>o31!|m
zL@ejcSB-9zWkdzwol9|oIHRSYl;WeFoYvKgnz32OPcMh=K?UfX!UKeyptlXV?F02x
zvGSIrfn?|4gS%^qvTK0_)syj{C&fV9F(&L{8#lh@X}4M%c<(8Bz}V|S^Ss1Pg{CIf
zLQbnsE^Bx{{43+Vb6KEBP#(su;&SWkQ2}8~dx-VIbL9LEj81=7vx89?mSVB=5|`Ml
z)s{Z!z^Z|wJ}N{KJM{hIe8wd_FR^+cs^LhjiIt#pBhU3{Pasa*{K+$-Aal|Zimy!H
zf-$xFPC<T4j4LMPfy-x}F&toM_?uUk32<02l{n9csHtV)5s)v#<L~0`-`^=(@H^ne
z!qW^?$lzvlJ$WJp9iPNhQ2MbDmKbT!;v^^4Dq;GkK)(%jt2q*TFBAZ@2ht)fs~(i%
z0W26k9L}SG*9;M#!?KEqoIpOnb*DE!T5G?g_=|CEni1<mB|TpFY3bbQb3YzydsP?6
zx2^M{V)g)5-y!uT{&UN>W5rHZn+qd1fh7}D=Bjcu$mUo>Gn~{tJO7T*sl#h5T-?^N
znN3%p-J0zC7UuV=b}xtTS07Rxu*W@p{Alf`lZ;B$C4_U<&(`0Jw~@{R{aWKspp>7@
zs#6>?h=NnsIg6O>G+#VpKZ4O#d95l0uxX`aj;a98TbSy}DNizmb1-NQvfHk&f!tTm
zAh>{R^54|g4)wKLL9K$su!7<!8rnz$A9)Yy?9Vuyq<=4=tGFgZK993x1kHh_W<0W7
z>y%pKDCXR2R?zJU1vHexRcH{J`B#b=>=uu+^V;Qd*#E0g;)mvV^*?uVQ)dwpn;(-o
zUjwgSGvS<Px-~kMiAfJ1-()-~1j))^a>W3|XFiFsVRRuQa?<gvWp(wa+HdsNh%Y|0
zS2=1Mm3PzFI!u`2N4^`~iI#%V)#rXvg<0tlLZYxFih}Mm)(x~(Yw>pI*&XH}0pgPf
zI)^)f({I|=gY5^Nfh0ljJHpeF36b)QKqjMVrt`>|vGvd2UirP)O=Z|s`;TWyww*MG
zyCZweU2`N~vG0bjYW*=bwv!x0t<SwOVr=2XG)SiGmg>BoF-T_%CNdujfAk7kD9KaI
z9FD49*h?_CO%<i=GhmRcF$tS7ti2^<c*U?)?I-_9ODQ%|ok4aIs@c_a)(jD81`x}7
zt`YYSb0~3a-g0YdzcZLjnVgJwG|m*thtH}kO3_n#<bJ_x<5c*Tm=ZzgYQUM+ECOnj
z_gRhYtZU-PlVy0!GCOmkJp7r6eW!*$maAuXqBMcvIH~B;fj-D)yd{R<l3!N16f9e-
z7)Yn-?&=n52P=Usx&Ea6R;3=E4t%(8hWj3_@uz7qF*FP0<UC>)hNgB19Go61rxFM%
z*l&CP4{%!vF@L!}M5Z+;zvWc&nOAkU$P4K-NE~t|U!jh~%>=z3CH+vteM+h7nZp8W
zoV;;O=n|fw`1q>POoB&*)zv=o)ncBDKZ*4NGms@uUi>~siU?L)@0&Kj=z0Enu67aX
zeq5?r*1Awg!!1_UQ=6P(hB%7>sdhQr^<D4)jv+SJTiUl$P(mwk9C8k{lRL669S4IP
z$-;<K9F_>DDUEYri_vt45`Sa@Tv=wE-w-1U{{}O`ezFWM_8f!{75eAdbW=MuU6P!1
zYqrI3%?hbw$Mj>aKLCsgz__SfSE&_?_4P>Dv3^ema&dIDqGciQs#osDqwGg%+s$cN
zw&&V_-`!~?o*MqX#7PoL=SRp{tMM=6AN?sp(H#|uwc@BQlk30{ac`15orPMahx`aK
zXkx0p=ZIf0HS3;m(h0GFB_rJz_OX2a4tE^8nLj=<w87B>fElq9q`c7N-MhmG-DpBn
znWXmX9M9J-Ql+26*Ok2z>y64Py%v7>ElVu_Qq%h8mi0yn%dN9MOs&o4RmXuVo1`v_
zY{Vbs%hMln*DUZp=YjB7vy+;SXJbr-q6E`v2G&d6r?R~vX<>d0U+|2TZ+L_Xch7e@
zREL$d?lkCRTLIN2jEhAFSqG;@o&L4b{sSrS&8LYwO@}?H!E5e70E*M$gcwb*Evaxc
zoez(^eq6>bohDqH^H2jVIcZm&eJ*m>`SX<c-5we(ri+st3=0RpElAej<(94WMKAw(
zn+z>I7g0eAiq^_2@s^jZhgUr2YV5RCr?lqfW-<%J1|Br`!Zm{<C@nD`Dg5#EeIVKQ
z*qXCSQY{BWyzgN}X>H>-hGYCWGA`14&Mpu;u3aNY;Rt71z2iLRO7d%FV2Te9x3M`c
zHT?#LD!oIoYG9@A<h)VQuS@UG)|ni*MBML6B{PZPF$Uu+lTLZr=A)kbTs<=8N;z$m
z-hNgFlyH}^E6TKL8gDCw*|+B63?jeb*3g6|28-Oe!V8VRR|6?8$QD1?0m))rQnsff
z4oR))eSe0s>Xe!ZYy<zGxE`n$qGnrMD|pF1FxT&k)>jjRJ3A`@Rq6Kc4bt1WgPRP3
zH6<Z8s%6^dgP-Gu9I*}X$CCg)`@38mWuW9bp>F%<=C#ysf~KK&OeNP`X00r10q$3h
zA(@mzgf3Qf)>jM3IH<P!De$=H-#IZ2<cEhOr#bN|fUd0bRQkIItbQ42aq<k6MV1>`
z4bbWPb^|IR`Ow1o&;aoQ8Waw%%6a~D>98pyXC{_I3Hr$1ifm^YeIp#nT3=>b130a)
z5^$27HFM>fn|ZChPc+2ZY25z9A9Qm}TgTwSsO}ncz5TOoVPQ84`>fdN>bI*laGW_u
zt2uqJDkvwqyZKqJ^h*)!VWO;45A09Ut*`&!haq<F1+Sl!0Ol`P#5WKDT5itAUlOEW
zCEJ%ZZgrOkH0?ADx;O2X@CE}nz;QQ!)Wb=Z>y1@S;PRIdZ&PFS*BXI0JDwJL2`ir<
zpOK?pHeoi_+C*uwpFRySECo?~ErQjm7wWU@2ZYg^HI&+l@2Oh3azgkFf$~-Gz0LUp
zDb=xFi!o)|jJ~{$2K8M`uQPUYLt@i-LI0apb?LK@*BkXBenzAVy>w$|fN#wLIoDR_
zP2&%I0;AbR>Wuwo%NbIx*P@7_v<S+VUKK}mA<n_wNkZYt3Wt4Mg^<to4+ogH-=E*J
z5;G-BSecG~1aXxU#R@a*AALf7H86Tnhzd_!33ol6FAA@Ce>>?-B6GcpCgiF(qI`Mb
zJb-fC+ExQv_EZrmG3K@rK*A&`TFk5Si443Hyx?@H<K5ZoQ|+y1ito5IRm?i#SYp6S
z5L&(eRrq|9l@)^XQK7JA(y>GxUqL6YCUerXu!ggwru3tAk3n9FceM&u!sKj?GyaOg
zzC*li_$5rL^gD`gV9x8DVd@W88xwA+A@5bDWPd`(pf=Qr)Tvevxb#&+2kgU*pq_Rz
zOV@h>fxjth7~9UDZ!QJ=rJarn^oNss4UQ~Zf|8yTHt*KXl`b{&Y_s#M*80sdj{G__
zE&f9F<?%&Os&`fvSw`e<Q2e5<qX_QHRvkVahIl;<gD0yg1ubrJ4ql_qB42D-;SyR#
z61y)zmNnZYPaIYN6%Dq5R&Kk(X(Q;mE1m9{UR*Gvij%or;;q1P)<{%q25bjQ5Yz->
z)TMJI<y4f8rrq(k>lDiU{o8|B1(XOR@vr8@zXm+KYqsU)Jd}Zy$m>W~&3l6NO9_6B
z$X5ePCt64rx_dV!J+5~Q@2%3zTXkG@cy~#^8)1=}J^cbaOtc*zHPx<MqP_IjfRhHV
zh$lx)53==ow2DtB+YRRoVBu@z6&7X=13^`A$miF(d++T(WQcrC+x+!NBR6OHuy<-?
zcJ>sZr?psqzsJPh_2=nS+xJhIhAZMj>sY02K`a7oSM=U9FMqf4^UKb;JPIj(_SK{w
zme|HqD83R0XqWqY@jVGy5icWs`E5N%Dw#bYqlZ+i`8!|Pw=RNDGP)a-HFiDWgpRcf
zwQ0Mxney-!iYg7J@(c43)44*OBO&K(o%B%AOIaHCDC1joujJmezz2(35<O|=VzY*0
z)1lCjx}}QyOTYe9Y+0^A2)$>EgZ7iQHSgeH$rqG>0nIVA{XXi~&5~3=T_GX%<2yJw
zA)Ex|Pvxx(cgyF;C%m)eXe^>^-vFY@ZRuQXKD0vxf40A`8@)L#FsU1|?T$(G-7FNX
zU2JsA({oxzxK&}`0(6WCI=<xJd4Q4DIJZw0$Ry<H_^s9mo>=`v2)5RL`n5Zf^L&nK
zhkPp*aL~y+qq~^3$=!V|-<Ag-V>o?%nmQ%-O-0*<gx^H#yKyW@+6>)2lxEy%KQSGJ
zOx8E?)E7VLHsm@RD2+o8J(j3_84B>-;t!v@Z?4R@?%7-F&`GN+PFuUiK5eis7`4iJ
z{bC_kjitp(_5c^DsF89-K{xfzbYNwa3zSIq9AL72_lkJ0t@E5~A(Uca>QuLGb~3D^
zg|+8yf#`PCgdwHx+WVU3^XFFk&ft~J&r?T<Ky%bKZ|h<F?u<hLk)>~5bh?$>>OKIZ
zW1d`^uO)Y_q}EM~$DC_?`^`?3^TkiAMFnT^gLa<q4zfHDf~vZX5tXpD)zKDbKlE({
z_~3l@v8E=oml^#ApXDmp$cjJfEgZcox){_H?^;{D+7A9)x!=n8$VRc@_9p?m!n=AL
zU96(IA{J(`UVq|qT?IY?ed^k&fP9YGpo)qJY=er5?zzM>#@rOOyQA`tFZX3?b;O^3
zAW?T}(-Gf>1OBnjhv=oI>()JBdHUTRaEt8aEQ?R_b0raLu>#xNE*r<Gl>{iy6oIl%
z#CSNZX_+6*b#Fy=`c_1DmrGxYX)uU+@7MtjZTu?OkHypX8zXEVT;0AE_E-qen;a)(
zn__k?tE(}4oiAtFlDF*lN+OX`D?{iHALT!V&`v%Lzms#*pPfWL9j_onD*^E3DbICV
zPC>3`%CDGpT=4|MoZL?J1u(M6`om-~IUn{S%i{`&#%rOB9|w>=)mP*xUAvbg$fWR<
zs=NJoU0!q@*K9;BeJg!>N}cWV5VeF?K0=l|)(?z-Yw+qZTdGQ615xN4QXgP=<}`>z
zlNG>UNxromAWw!s30+v&ZUN(y`oj6GWzvlI)g?l*d!9l;$}CA@fjQytuZ`pSoaR()
zYUe6CO+khFqZ?j@<1b1?o)mu+3ke!Ey|v&G;ph%L9(1m4-fu<O$z2^VT#r9<zO6v-
zF`jNqHTiove=6?#T2$=OQd0Y+&%m&;BZ|e_Fc8%=%)B_cX0Tf`^#_<r=MQjq^%2wJ
zT+#A7n^|*hLoe8eMX}s$boW15y=e887K8;_ecjt@hi{k6f5-UR`&K(md*XxM)t^%?
zue(Ugc5a5GT$2M?){WXscfpwK{k_eGv{mk^-17*%@56M~fe)e7miCxYUC*kzX3xFe
zS=%RDWd@B;ev-I405mZdO~2)cwb{0-)olJW!CQye$;rKu*pNiotv{IPhDage)Gl?H
zv(M#m4?6ui*KBUGnfA8YfKI)WkdZoIo=pIUG;aY@`p?bmZr4nL`_%*q*rW2Ret9-F
zfmi)zH}@v{QQ(OM$VrM{PFZ6kHWz_TYgx+rMSruE^D2Pm9zKQ)6Q}I2_~w*JYx69j
zvRQTdQE<!;#1#-J>$qBX99Ge$xLBj`xmv?k7V%c?7rRmyD>j+jOH&DxjrLLmorkyy
zlQ!=SYZFSo2HbTH$M&}wd1`Ddj-{_w{UEowx~&1bq~MzK7Q(iobAkGJepucTdY$jC
z--7;iADH0xUaB^fX=6F|Vg=g#m+G*F%1Ay5JaKg0&-P}jp5*o{!+yybGvGYh%FI+U
z=v-02UW8M!7*Lj7x8!DqJ1<ktjOmw$Cn-B$lNRbf;W<s4Y!sApu=&GdH!QUFL*Jlv
zHs@H&2UK#MSzW;VS{MQDd=tu=TI%IuEg$?W4**}A8Vvp!)tYW4GbVV@ZX7=F$vrdO
z7K%|r@kB7F=~eqjF7`>`|J-h0p{qE5h;*iN@8^mgZ=+pVx>;&x*^qhfL89^+$XdMF
z1%0;7-zwmqV{Tu<e{{}9f|6m}ySc#*q|He5dzha>$R7XxPXj&WMJpKWDNA34DSO<z
zfq}RO_?+OjH%zg1ktCa)8Q1B|b}c!1H8<&cL?x#?vRgZjVz&n0w5$d`h-@2Wd?t!)
z$5f}NN7l!Jfy+VUUs_4mxvn4#-uPbFusdsqZx2Z4z}Gn90vmO~v{vw%U7-=H%HBDb
zg~p{TyHlEWrvYbHs^TUg0B9>N_8c4l-ai@^>yEz#U()HAg$CjJZfz8xnpx#?_IHUk
z!$QuCtSnH;#DZ5RFKI2stEF_ZzJV#vKyVHiL6QGRa!9<TU&L%Lv)Qwn7k#miw--cN
zQf{rj1TFuxrKXvvCMG6m2Q!2U;3-iYCr>9s90i)U72}D6h<MF6VE0x-wSbUq#X9H7
z1dG6?Ngf?<mZlPO0ycC=reNY;Z(>w5uUEzOkJ?H&?N`PGKL65J=)2acZ=p<#?<koG
zmAb%z{&y3dSW?oLdd0jhXIa!NdM9J|qn@7lp3pJZdrOtudhU87!}gVCOH=W4$PHv)
zUm*QQ*1CjQ7EkY)b>g55Q~|!!#xAeaZSfdN?fK_@n8p;KKbHMhdJ!3s%4d{A__2CY
za1~%7>im&kITbkHifs0BfSG?5fSuU&|6*}cJ$;i^I{8^8r^L)6l_=-gjLTFJN&VZW
zArct`D6x>LkR~Wr9z#)wa)cFGAYKNY1j?i7h62WPK%;`liLQVH#Rach!wCD~BYRdV
z9!V&hIM>rXx`l0Qq|(4Xq5#S!ok1AM5ft38X9k`9#eqcEwxshU(n;S%xrn0!h#non
znq_YF;=I>wPUifr-Qyk)m?RySVl#IsSC(~b1Ukm$-b}e>qwpotgnD7;w#^_7{8CUW
z1y5q^t{kpFULf$O&^@Uw=LLCk-UQ@s>2~Xjf+>{5$%xXkr|AOxZvtg7ED^7yq@*n2
z$mr;y(<{ENK9hy=bKZketQwKmHzW)I=>&?ALc$D7#8V+R_`URd694-}=?b4iHW3MU
zE%y%uaO{I0LF&Q!VmQp=1{fYUSzZ(SRC>cq-YaCUX8@=V!kYhaiob+k!^oMuMEN%1
zn!8kzAe3+|P*B#)gtHP$xD-be+#&)ceJ#R`{-Aq`nCfUy@_(psXOf-jMJfeiPETi3
z@vAeAgB-4fVYv4~GXaEXL^72&PpL!fjf<4fvP7fi7g(FTT5WFtVJ`*NtUC2xl%n^E
zdH!xU&IUj;;G_A23$DHHPWa(UHJr1I0zav;C;_tMb19xiWw0<6G%rwKyl^h*KjbUF
ztw=#%c6*KOA<kyXMc6wEUtQhqdA#lm@5Ps66K<l=m7Y%|8tD%sT6!~_vru-J_e%_0
znAv<QS^I?dBo>_ta~}KnM0D<(zkKw--+YYG@C=Is5lAzIb`OVBY##f{vDPR<101H3
zcxN!kg4efltDmJ*FvK^z-LhSiE^&W}s(30sS~yV>GEe&LJHgnY!?l>u+34|8rlpn)
z<bdYxO$mIQ6iUOZZPVPRty$!WTP~b8-}~mG4FSDFH+P#vvM47Lom6k%HIs`cOFkb4
z__bu|eO%<LxL)9q9mVSD{!^k5XRGnhJaSwUlah&{%!+2u?MzLD1Y=S;<c@TSGNA_=
z&0)n-9Dln8lM<e5(%3sjW@cy;4Z}6&*}1tygC`R0*FH;d6!!&##ksVwCCQ~3LKJH#
z>g+hLg8HPk{nJ{A&$ZA-QyyI4g)1O@Bl4@g3HMm+nvSM9-j8XcqEnWp1<#z&U$Pu~
z?eU(H?R^*(PSTG{+>&yKdmDJjWTeq*qJ<d!Y@2oMMCO5&^G`pqxI1;eJ_HF^WO%&a
zd{2dn5(i~x2_Qo<ae^Yw%?P9+z9lSgNCf+}5z(xLT9XIXWyAUhPJN>$94sKqXA#^a
zAC^v=xx)6^m_~V0OWBx={bK>PCtXbzT|*YEnYCYH%=;Y(G8u8Dq#|*IEu4`qosr(C
zY8gkC7=`u_s!#7$cFB}IQ=guyI64o?dakgrvf1X62!h0hl65bByyn1?WSC%54!7gV
z+pPydsMA)^c?V2xQLC-w#ekY}^*$rkYz4*0LMsJ=PljC)*h!Sbl9ZYSPrud4;1a}|
zcCCw7@!<YPed5Bc&wtgSlzlwhVwFdxax5dQsh|@-7CW-_Jh<^x)rGtd>o(zH%oh(v
zR~{vECVrrbT>q;*ZJh(|vQG!$QmUb`4+7$bFNI#xWkyxBGyqJLHH*1(-Hh#P85>)_
zgb0nMp6CB5yO+x?suisM`+};+Zk1J|e19L~Q>#QdOwj?N^Vc<4_@G?uRw5=Mjc#ep
za;9UB4%Z4#t?wL9WeCOZWMDT(QS1R^4;VYedziMn3f5MC%O0^^hP?bH^&&y$Y#LlW
zNshf>y3LN7_XLK~Sccz>J-F@c`n{O!m*(7>b}L$E>4Pfii)4wiw83-Mc8qnxq48BD
z^;nY&$-qZ5KI3YFbB+xz`CBX+D)n*%weURdkY)Q<sQd6$MdWZuBf$wD^wv3IUBoij
zPkGJN0nPA23UT-f=`ax9=Ls#-aJP(qMpz%s{#Q5v{8bJpu;32qB9e1_H*ogAw}P-}
zP2ME0ds56-jqKRMJVmvm!+D_WO1A24Me7prW;LAG@2FMZffmwXOe*|bCSFuh%r$dw
zROB#kPbv@TppWb)ca5!bbBM~HclV;utu$7*r|GPMBvIb<hec}}LDE|d?OzJsyn)0c
zw1CPBZo5H>J=KD2rBR7Ef3gxW#pQ-E75S!|3S`Dcq7|0uotO#-)e&v(LSA!PpV55n
zSL3>w*%Ho^-*V&6e*EPK7QdM{RBH01V(n#P_T%z(4l6;|n<2Yr*$pDMgj+7w_#^u~
z<M5n)i)25~!DrdI)8pVGr+V)Pn@;Q<z+ihiG#R8#s)S~s?64ZOdaOXF70K5L7d{_{
zPCy>kEd`;K{`Qhznr=T$)kBpSSFl;G&J_sOf?s%Mm<-8vstfEKGmexX=gDbrefBTY
z8*~7EU!rk*Xj>uyyfE*uu3e?Q>8<8!gwv@wjIao2X}gw@wTi1~@SZ1)@D)J$h;JtJ
zeS_JvvHKVi?iN@c0(KG&k3PxYSPyBFcPnmD&G0v&<!q=W<&*zhLXchAS+%kzgYe=N
zROB-8IJy6Xi?GjQxgkTO*SbXVcdr^&!h8MF=y}@2t3U&XU1}Am>NAn>q#vVjHne)u
zsCv?v?r%fL_p_+y6S^+I03|SDrdIpgJ&^!HnNZM+|NCM-eL}@5XIO#bx5T{m#mMe^
zFa2<`ZwEWRI<D-9ra%Xj&6qefqN+d!q+qOlpe>|*SK(!0*Urr2<LQ4jVpNDq6Y`Z*
ziwCHm^=K>;ye*;UXsPyJ1yWQPC4J93WUJ*X^lqJfqSRh}Qy43dk$9L(6db_R>u4<Z
z{Y*T-9m}6rMZbx?L2I(>MFumg!XxqR;K|OS13wlJ3)N-;n8pID!wVrxKC2?W!DxMR
zOWM58!Jv(G?W)75i`a3({le(WauTJoGqn`_;TUm`D!=6SoVsQB*^c51$Xi-O$HvrK
z+USCiaT^Or@vn4X{TOEA#W4ZV{?49K(D~{eD86pOP$bj6Qhh>y%FFk1bB!x-X?q}c
zx?4IY*2I&l>bKfmgc4tZ&Kr!Yj>*1$ER9IU+0c{`m#{X!`1(RM0E7|S5^Xu`;LoM-
zOlZ8<ljvXhrwOM(SEr9XHM{FBR2q~>w33u`XCA^D23&OflGK2QPgPi&2F`oWxsu!7
zrEmcixt6^7nzz+(RJ|EK(~N)N-*k?f{3G?3f+nct?kiveRW0i{O|^1skmzUed}$qy
zgp4>3)_mnfeDVEw>Wj#Ls{}Tcaj(Oq+$MB)e1&Hv`(oG+h*1U1BML9%Ub5%F<@T{4
zmvTmC0G8ygLM*w|r4ltF{eg)WaXEkcYWn`^F8w1r4(XD67|~yx^ppnJJrm|WEW?$T
zqUe0#ifNJmWm!U9)NR_=ny9qbcnNGHm+#I)kS~yItiNX#p4Lc1GUEEIx6?<g$W}ar
zm<>iBu4vcL+}lQGd96A=^E3R(q?kX8bc6v~b-T^Es3aENQx=6|DMW2F1g0<ulA#zk
z9T_|sGIfnuhi(2`k>Kf<Xk@9|+R%0ou$!Pz-co(+xJrGgpeloa^T`?+W6d5SCdF=s
z`D@Eu#`iHK5=KG{y^@fp4qid-H|_U?^^g9Y3TC9Fx*@gOald`;s0`K7iUgEkW%$h4
z-VE{!^zGEOH<b5JW;)(}H_sEZ8B??9$5Cq@6!^M8c63_%@vfx68!9GjVmVUcJ;<f;
z&{kx(6?p&nlS~b<pB$~Ln8*n3rS8aW@R=&>Tr|PR-@BEEAQEf*)L|A}VxD%{97F#q
z4(a?BtzU%M-oImHEC|3Z%N}l=?RCG|bq+2ANsUSAiT@F3lFk1f#8T^g_)(Dlr7NJH
zeJCu5A0!?i@k2dnNHF9BSu^R?_k?Zi`sYs^R~pJ8YqvCO0OZOxm@lMv@H=QBV`h@7
z2;6Z&_TmOaN^HHn$hrCT@8k)#1&!Qrc1ZfMioU$cteti01h^B`|E|{GIC`kqfQw=e
zo@wW6H*6nlkEN=M_3JJr=dW0@nmZl1J4XStBo{+?%we38tfQ;NMk<b<LZ03H%4|fN
zK@fEk*e~krr~YW53A{Eaa$U^w+_H*7A8*{g-Go4-E$XqS&Ed(>2}U4>ITYZhiw~yU
zO%Qwe1X$gQiFpOAQvYiMj)K~!`8L_1>g`{_wOHfiGMzp=6-!Il!(g#{x_kG>8i_Wl
zrO>ILH3j2f+Cr>((wW$6V6vh)o5e?>Nt*@;&-R@1jryZF{{C)f<nN`f=Bj&Myf|{W
zHIjzKi_)J;d4Ddo{j(5-E6n(kfnQ1icr3q@CG*7czutlI>Qe4HWYAj+IeI?9H8^DY
z<;q?3DYVZ-4%-lf&ziHR#E}V3o5`lMQMb5Ve^4y^R7h{(VwVvgdQZ>uVUcTyh)#fQ
zYv3Y2@`2FY<u>dz?q-gG*K;WXw=FVuID9-k#40$bmpKr;)+!nZCk_QL)<A{b27(vG
zs*|x~b0n(HN^~Lb{;?6WQY$eSa!@95pDZ6k9A#P%{R~kJ<`1z5!4DBYS|I5MaO5i<
zZwzY6M;&_X*JGDvnm0Rjd5>HuIqY{CwMZTL`_|<~zm3QYyLmTrRu)qADxz1gmC+Ye
zgmY^K`#R?nunJi3ZA16%G5|brdj%NeoxH(cSC~{XJ;N2DfC*ug>rqS(R|j>OQ~qbt
zn^$vX%`xg3rb>$fcrjd>q>pDmKiTmSd&fR2Ruc>5UW0>3jY2NTin3Wz#16)I{t_Q$
z@s@C9v77{T0>aJ|PKEm3Z4GVzO1|_RbOdl?*RULQP#yQlxeP+bpKmPUjz93d7Dm!4
zwT^e>E$64J6bb(0o_O(>BpVEI5f)+xv&;b+ZuF}P|2-HBP5ArF$W>r+IQ5>OQ|;I+
zBO?1}HxAbxLsu_h6SzoA9H*y92OZVShU6mBrXc#)>;piVuUSI+Fp$|)nn-|poZBUx
zH$t@c?)T}MXvakSoj`nXW*Yvm*d;n-#J|!t&OSqV7+ul9W}V$Ya>C!;{m)=m!EBn$
z5aQrm>_;Kcd~TjjxGG}Q?Y8lI5McWILXj<9nz$~9(0z}rqZMHXs*%UvnBe>k?|5}t
zW2EaG3@~C2U>gM-`upGCs8T2q$@jN1KY_x=5ds)_JZ4V{Y3y=!EYZQ_@#QHu)>Q-a
z|9j&&!G8XFIq((pxmaAwfRPZPc-O`;RXP2^edI&4v!}?_hlxtuj9lmp<!Zjj#h!Ui
zq|fzKreGQPpT&%P13)>U?YPo_4nI;Be+Sz5_e8}%fxt#u*9{}>BC#g6c1I3Z*dG2V
z(gs;EMhg9B!Yh&Az)Xa^5riiW_@)Rik$;cJ{51<2N)om2hhHvt;B}Pt(BoD6<Mvkh
z_5a7zm&Zf(M*q(kMi>;?vK2+ymu%VcNh?tzWH7StgDlzZj6x#PVvqVn5-|v4A7tN(
ztTPx1*~VmNEWbPYe81n{eZBnS-uujR&U5ZL&v~EsxmO|X@3?yWYCjecZWm^%JyDBu
zYd6|95`S191^)Zhce{wIk2O;escH<m(DLF=2b6G&&deFq>2OHpai=ZAf5M;qU2TtV
zA7Q6Hma^Old&`tDd*%OAh;Ebtnv+F=fp+boUoQ5gqR1Z_EESs3pLO!k=|r3?s6YEH
z8v7EubU!l_Damq&-cWm3LFH$UvO<eqFNce?>i7M}bf1c7CSJtJx+we%VfzT#<+~E%
z@V~0pjcRJDmG2|C5)v?-SW8E@3a%hV@$!0>U1pr5M59P`7=kKY4Y1?Vt^bPmn4Nd|
z;#=O;+Ck<4h8m{i^9dCE-!q{6{0Xl#8^gq?VrWsc+oHvZAl6|;lMP*dpWWm$8#Hf%
zDcKSwzY=2+)|F7i6L3%j5?_4Cx5<NCwEvvu6`t9X-~3ZZ+L^~l%|=%aR}nOw@9#**
zD6I_X4E09p8~!WzY1|jLQkLa0=fF{y1NKx_?uRJu11zC1JkxO9*YLmX#gA`KrMbQh
zY-CJ4`xf>f`mhD+Q0_Qhuy!>&ygpUz%M?oV%1Vg&XF>o!niN+2HGH#pA@`|Jg5;Ij
z=EC~h_v`;Es`2BbFyoIAVfHU6-D`gD&;M^XNQ(wIl&<TLyZy8kfReF=c$K){v_b2Z
ze+^d-7~_%lu2^_bK-%Y@+WJ2c6CNq-FR`wUmGHPcVjJflxc$G+zSp@5a$Tx5t$3w&
zDfry;*jM%5L)EW_mqP-C>oW%ew9nn8jIPK1-$;?tY7Ax4w;pYC{Dyvh3uH3qTn+U2
z-=#GNpQ^xNf31Ia`K#;1?}`ljd&cbP*bRYoSmveREQ@W9fW6?DJ=VWBy#J>es%rU(
zp$e-?h`zW>{HsH7Nmb|%r~8oA<qptF0zzC9_jP58C#si%qb;^Y7k6?~81o8+iOU|_
zK-P^#^S>*`&l3S_XZF<JB?=$*Kph&$;YiU8n`Zp)tf96QMC)Hn+s_rm_U5=~dk2eS
z4^xE9DqH_7=gp^Prg}V<d4AD?!NGar5;cNP@0Ok^UMj-Z>^TAQ-GKqQzF~IiXatl2
zsfR3NxN$u2`Q^Bde@_E%?buihhOaX?^vY=WThH$Me9D!6L$M5YOEL`4nw`ttxR4us
z;oIJz)p9!%N!J>;?@jPUspA+nKmN%lI3NS|{GWhFTfofV3G%I#i8Em+uv_er&F|Xq
zn8OqCa>rJ;!x6|>!MHCX!wd-a3hS5<lA0S*eeVt*F$~~N9<#B~)PcmqDQvkK3)q(!
zGiwiXeeeh-eRxkmFj_$+*aw;Wj}$y!6&%$@($DB;r+*bjPaF}7lonQg5{lc?Lm4IR
z8FS=vHh<e#;aX6G-0^``QAFhG8_OFW9s`dN9U;L%Z)Oj+lwfnSsM+AsJ7R~255P=<
z?z13Z90Vqkc~sH;OjzBu-d*)z$x!<A+XAG`ScI<Eg=-R=)D%BW$kA`gIY0Hu8}WN7
zeoedxVvmtR<{Wz$!ayPG)EN7t>O)2+axNk4?!BZ-zvldi1B-$v9CcxQfoj537a=xn
zN+wI#qV5WKKX%^JOC<nzEj%P9OV2zD^QLB`54~HS7ZWQHz9B1C?5M42?#TcA+Rq9H
zmv)H})AiGWck*=jkVr<Me(atER6fwpcIVU6amq#AR~MHTRI8-P<Nf1|h0Njbnz7C>
zy3~nYFW=0}SJ-2MaVjV!lo}y!pmwZU_}R^{cb{@9o&GTx6!dar3GgaT#qz(TYNwx~
z&P&4v2W$fx($YRHvPt--&o9J+N|=m`+<NIgtXvwY{X*gE-CO-aWWg+6`R=5(eGmLk
zk-IkQ?K&!|C?;XH(6p3Mt4H}BiTY}TQ~z#$$)W~V!xRN#1Pj(>$=At-FB5UxK;&xg
zJ5dR3xAm@6SlYcPp}~x@JE1kjnK!>2O;HQ$jJ2GqO>9<mem2rs8q<Dry}ilvQvjOg
z%yaD6oORh|qEPZLvSHGrHl>jrMAOkA=uHc)Ugy9GXI6CEbiJL4)WGb0cjliF^Eo#1
z%|DE;!gl+7f{kf0bsM6QzTGFYMu70MXf+&D@*f=@YDk_feMz~}p?3(2j7~=j;m%^V
zMpxE}A$|Y;@QHaNeIj>D&q;J5=(T`uwU$Cdb*A@;0_S@*m@D>O)vsBWBMaCOEfk`K
z_hv<&vQ$X*GTlBhijM+lHd;uMk3{FS-jY5x3s)I;YS08hN=8~MVE|~c_g0GQ6zU4E
z9b0A?8K+>{;tNR_+6k2PmQ-0?X;C3w!2B)1g%+kT^AmEht(a$o3T#-_aQvZ3ols^s
zFV$x8V6<Y9F#n(rPW9XEo6Jj@#Uo=4`G!FtB_8#3AK%M}T`%?~TP}o*d!_e_Z_ZB^
zK7I1!!SFBE762t+Z+AAS!Lsv#jBZ&Ht(fHbmSb45t>k;OIhRg#NK&mF4R#5X#rhlK
zNA&7da*Gw|NCATvQ^2`l;9ig+CC#dFnv_qSsbUUg+>)j0;8=nnTW51RiTboPD47pG
zZ0GkY#qBL`5QAD_uN8q43mdJyKRbcdeZ2Qj7=HrbH@QFIMt+HB1iKP9GMQ%>s>}N0
znKOiJnm$phM3_IkEb93_w(NR!qSv>m_?7Se1`HiD078vL%=?Ip)&SG)Y|;tJrE~jF
zF6FIjH!#RUl(C&?(ZN`3zYp-dD7q-w=imtis=9W=_%hvBlp==hv3g$Lz2GkiVa#0@
zfxXz;;R@lWOfQQYemkWPpTW(jEHHZ}ul&(+m+=;~-^|B3tu-q51Wk9@?*20pC??jI
zn{5*0+L>AB_(dh-@uYp_6O_8JtE?nU(rPOlh3_maC|3CNZ>lyL+pu(-NlqbHhg#dV
z(||uYt3ePUgiHoE4HoNW^}RmhhS7yy1^5bd6+`z#w$we8A)bZCw#{b-c}LkTSP}9T
zfnHlX5^{ga`8oMCYg9|Tjw%S^At@1p(n|AQWP7FsiO3>L{EO%WK3DgXUJAq})<IF>
zIu53~Yn%1COSM_I_EnNhjC7fQ-Vj;3hwl0_>3)K;Iz0PY5Uu;>XQ0@P&&#d?WI%q>
z{U`<ICxFw%$)iKIf+1VzqP1Iezj|S^nszb3oRm<H;AeY0?GSX#q&p|!wMEVcP8Tmk
zlxYy7WdsNNV>k9WUV{@6dXh^zK}W2CMl(>$*2=slOPq5k|7cl6nU1(DzfAtK$xplq
zvr@9@N>PMh)BY~3&JTetUtS=SV9&#{@$m@1Htm#6C*0vepJ^~tDihyJN?&txCo?a(
zMZbpAh2U5|5fz&kCX7E#+B}9_^w!4R3G%QbXgQyfBkzPDpNBZ&mvsm?Co6NKSDSYp
z$Wk@PL-;uNST-TuIJWWwIjwzR(#7|=&_L)!BU6>A=TyxsEb#HHFd$%aAV7G8Kk0Y=
z9qJsKO)fp$9`AVs%|P`dkK=T|KW2dK!udP^-av7(C30g2LOzSE4f~zC`Q-;~<h8qp
zfySN|AD@Tq6IxBJ;D-HC^l9`hW+KIZ8cteX`n5CuMPM^wNe(%ZT8ajK+YzqU4$IS>
z@f>ck7%yr8^8s|PxDg83S`SS2HblNW^!w1UDg83#ZJsiZ6nCBHX{wa_C+0KN#UY?8
z`3&DNEM^y$zVv-jQR$dMJ4TdH0-=^JzKFC&ph_@y+SD+aGLg`pd*SZ)_y_J^3tCTM
zHHh}oH(%-|epL%{edl~u`1t4O7t`K4F>LWO1@JmZK{MdUV{3w|mrdbKdm=5la+>I*
zRDT>SB_ku*)_B<z04Tl`HI_&SLTON0R)$6&clL3hp~OnOk8o^iWOeHEQn-0iFqeV=
z-)UQ}k^OG5*<r{oSD^BJ4h5)r#2IG*Ig(a^ZL-T3l(9mOOaM~q&Vlv0wkYDJa&CsZ
zOb!VMpJ}<2f~D<FdoYNw+7cu8m0aAes*uCqdd@8!`nYS(!>)Lblbp%^{R|(PJ=u<<
zCpcc+=;s2J$Ssq}PKEVv9F!DHvP0}sA(&G*GEFZlruZSAODxAGhh*z8b^)2>Bezhc
ztixq=kp9yarbI|Uk95Ajkujxqc`yt(oAKdnxc%hN<j#8^%jM?Xk8M?uWC2dOTQ)9I
z)G#DL{bpU=&g;pITGowT>x1c|#D0Wzm~m`v*6la7EqGex*^KbSacN7DSYKsQg`^q2
zRn%z`4u2B-?`*X=J(|2x297(l{Oo9FB=F)ir=<l3T?ju!&b!?DH}75I`5?gTjfPxX
zn%kv-sSj8BlSSU~9ZL+CnYxpO6Rw_J(0iSXx^wiF<J*SdI3;MSMdxW5acU#R@7oTO
zLpC$};B!R*)pW)M7MJ;JR^89W?itNoL?(qeJNV=nJso*0UD-Fn)mPbI0B~m##k023
zHO=KdUSLROv2pQB^yhAL&3haRAaICeJDpdbm2><Clhgw&)rD<w`*)GrwDRNdC%KRN
zbC!gL1pZ2_F^#l8H@&eMh|lG&i)0&|h!s@uKUOGYOq_zRpW0I)Qzqdec*vHPmGeqb
zi}u|W<);Vlx#?REoilzO>dHqJCEju+d%}iQ(6{qMZ}thBRQv$Ud+LJh{f-9Jt-BRW
zgbQyLoUwGh=JZEZmpW)A81ipAs6s!T@e>z4hq{>gZ}mTEE-6wmJkvRA^*$u({yUvs
zew&IUR`;MC&D<6B55|m)odPK}nj-r7PYj7{KX^kfy#2wB$tWLRAeH;Jrp9f|-a?+-
zVF#Z_M?ArwqD=#2nmfPz8jW97{{DLN%jeBfl6zcrmL*vi{ir&ear1mrg-<FqAARQW
z{`Z*hwKQKC#k_C(>h)1SOT_Fjx4HRzKEBo3_Z~XX%?p-kuUU1t=3+vzY$fJcOW0|`
zVD-(+5@JXSl$gSPH&x&1RT)q98Lj1M!=tbE!-W}JfXyzi!QkZ+@<Fp;fcZD$BIe1H
zYZYmMT<a6~Xn(zk2AiZ_Soa`x>13xLk50O>2$m0}42^m0Q<nX?^(<_8vh+g&Ba!xk
z6!_(RjM}v-u?(Z^prq=A{3ebZkhNL)wH&#z`?Rf!yK!!WFhNxRaEr3T8P^qP7Fe4*
zZDW59uwI%a;`u3_ctJjH9~fCDD&%KbU7X*>M^Mz#C-q52<_wfsvYQxBI7Ec85Vrr1
zJMSy{*26=02En8(kUZw)lb}+8VJWrq$ephsno51IaU5$c5Y2d|a&=NfC7ds)?*v7X
zTgxJBth<O$B)Kp@tgCS{^|6{0*-Wiq4wyG<&U3xH#KymIJ#FoXU$>|B3vI7ZFBR~m
ze4(198b>xZxMoz8h)%6%w0a#11TLYTIX|l49uT)#h}j2s<*%AV3DSD7EErWr_Xr|k
zr_Nw?z44%PTj$ZegM{Q9rKwf7l0?rs%|(dsv|lJvAo-t7=mc~g4J&E!zx2}%3G8hg
zFi_6<j^An2k^S&sX{{Hk##^8~sbRO!V3^<JT8#K}qFmTebyf%2xbhmWbZ*IU@zU~N
z-T7?v|5Ty?j}35{PXy!2jHLrFMr&fS%Kuc!mn_4{P;w!<N~dILzfIBFM{^rR15M>*
z6jX9Dg2GxJOIKmCR005XCvdcAkEZ!|YS=`>C@~;m_JiPHor^Y2x<Er%?b;n495a>0
zzOs93+<mT7epDh>5*;HI=0}z2XA3Kpz@AA|8FwFqcYkO$S}RafY8y@SKuI$gltmuv
zPDR}xgu~r!#urs|olVY#$%DQ{M|$0E5NZWs$ZBX&xIirjNzVm*)DcpRO2O$SzdYr@
zHhh2o<XX_vWG~C7Y{;zmSeAIubu3K25HV^r%l;kLicQ8oLjP$$Ho3z{y^TC7f(j6v
z#Y2<3tp((k5xcfQJ;}ot-d3w;j7QLVTpIU{PiOg9clF~L$=W_6BQM*{+45Sn8!WAU
z@&Df5{6YfgK_J{lSVZ|nXjc`3I^)(2JSmsU_QpB2rafKauqt9x@807OWt;m%O#yo>
z6JBkX?ZIC6C+0flT?G$g`aWeR5|ze=OUI%npf8V<64SBgJ#0qa^;>lQW)9b68x{^y
zRhW?;7`SP0eQfZW)U@|_&BNTMPuHNCD$bT3K;RF>rQ{mcW!H(cH}^`MUO6jiPARsa
zxKca@EB1L8h(lTnMV85y^`S%V;iI#n2Vmj>-9LiVOX_FHa*V;)VXwjsUYBLW<x8_)
zR3+Q`>D=~(^o*|{JcoP^5ZiAbn3Fg{`ICR&7<PgnzJ?i>5?Zm*X#WOX>z`WkfhA)A
z#GJwLTw(c^bL^rYkKC}eA@7zbS#nbPlZblaXZKOvBQmW_Q*2odK`=EV2kXQD8T1Lc
zE5VG-ogKS4RAt3@|KYZn_VB3Z#Mw%gpi=I=-zq+wX%`^ov%jyC#D#Lg3kpsHLvxo&
zV=oJ}_Ag|tz$1?y`s9Vd6T=UHvlPt_oKE6$o!Xnj3vAD&Ht<WTQmUR`-Q7sSE=KV7
z_uVxQx5?g8uc712`$Bcuk0PA<2F%Awe%J&wEVxcR`$!PgM@io+XeXDRVOdVi_eMsy
z+~PWxxb*dP?&|Om&^@6LN?=3^Ty+21jvvxuQ-<!KaKcC@v=xtR$L9dx_HT27B?t~S
z;B(<@tsw=>@ePh10E;?Da_z1Nj**XV*Hgf=KHlJ8by0JX83^+7Ga7cApi5L&C9r?3
zJZ>&EZGn=d`XL2gHI7mQkWv1^a?por$e5S5KRYb4`mR`|qxF9EqX*RK<LV~lZ`|fb
zFMr<rB0XerLt}3jIPHb|p^S0G=knd1V%XG$@87$k8+^I){d$rTH=cKxna|X_*Nb39
zQ1cND0Htbq$|FsI_b`6U%gY0+Vutqef!Fo3vnn?p5!BE*wr~ddNK4B5v49ZCA7kT#
z0!i|=;c1F9Y6IRi9c|GRrXai<C4zhOg2boo5(5sf=@d|0Ib-FUdL@2x?UOq%i4E1O
zStM3_r`ZRk!!#2_3LM*HpRu!FWPd#*6O_jFum5nrp09dTCt6n>&Je5BOEa1tP?G_h
z2CbJ22zA$Aj^{Pp<)E@B+jYAV&@!<N$UFW^&o-|n6e~NK=1MCGVjlQj3Qnn9D*xC2
za=MfCt{o7!C!8W`+Fko6;#xWYkMEV({SGUv3OAed;WZ2%j1+AMvW0%QPsIZKotx6`
zQF|TPCTFt5uJzWTOPVthR3v|jd<jlU{GZnjG}$oCBuFS!NX(8=4KqAn_uDwf7w5f7
z_Oc){-ckwFb1e2#8L(dCQBXT!-*e5zZwk1ptF<KHywx4Dv~te9s}jG6KTTyt*Eby8
z_NA=LfARMeBfgyOOdb-ncf&-tCWuZ<9vH<wi2fnQHR7M)%-)ZU;lE47Tpp2GwZ-O4
zaTnHY1nL|MLEhBg!Qz!ky&Snk{^*0i#yRKP1Z%ptC=c*Z7dBi_znIxBX+UcRM7m`=
z?v}S)0CV<NLpDdtFMbKgH$LBg_Q*ZJB{%x6O|(j6nffMf*zfZ+X>Bo9&e+DUf8es!
zkp*0?=ZXh{jkP@U1Y<+qP5(0G{24iXp{Zng#4pLPCePt(2Z&azww!g~AD;F~wH{Y%
zZ6MtK&e&yLxSvh1%QUl(y)4fhkX*~~Q31O>VY0+ql4t5z6}|*3Tq50o7=1zCztc1-
z={a8mDCZGRu*R?UJzKW*t_b7Yglmok2kazC%Z;d9aPh44^nX`tBzh@ief`<2y(g3E
zu#}5^uX>a5a_xex&xqY^8jNODQo0x?(A2fN9hn*g=CGIZrrOE#mJ=qxeLkkq%h}m@
z5%KmBwG3Vz%B>p|-CML~5+^-R87a(>!ixJebhs%9624qi(5g3XE{V_l{Lp2=PP~8J
z-TPDh&%WEj8igzKf=Q;`)+i74pu4J*3599ZgfDf4wcDJZHJNMN;<ghE8;L5G$^~K?
zf!JgZhbM|NQx|K?oQ#0}X});(+;%3yatRCYz?Z@xKl0*Z@vwX(aYm)LYVEBF^NA)-
z9BGj2%i@cSYJ$O_M`1a*C9+sF+vqb091R9S#J#3?ntLi72iL59)U?MxW&}2sF0ECY
zRoN|d+d)G8j|N>m;~r&p+Sd9F6~PQGI-xFOomG=h#m}^CE&z>!yxqKhMkR@-+AG;=
zenmYvGZ<Goi1hS4`t|$W%B9zShLwFG&vuTY5mAnCz{K}bmC~-EnZWLKg8%7s(@$4H
zlgdtr(QMjtM2=;{MuPPxOe7-vc@#G<9a@_^i21!e!OwU;!V_)-dui|^h+A&_$M;gE
z_S5Y4o7JU&)3kxJ9iGtZAn%eE_MK?qm!-HNuh*h;7u+vJKGOH}XT_AmO+Qy{eAp%y
zAaN*eDzU|~Oj59EqAhs#*kG9K<hDaMuHQ<TI@{~b82;^iwJLTx1Uj;fzn4P9QA_9D
z`3$|S6L);LsV`eB`LZ11_B<}6YQynr6_qP#=|FPMg4{ip8JJZe-XS@nz=NwrSCDXT
z)w93h#3KEFd`b<;5C-)cr*U@g%c{Db&RwAT5+Cw4x!z2^IZ-h`Z)F3=mG%n0D0kw(
zIII7=k|wx19f+(<PsVgkx#W{JIy62=$FXo!@Ou!<KNUWE6>o_<$zF4jm?cg(FktSC
zk28Man9*{}K)Q#4KVFpZ=6`jkSD4Xt67@b^Wnq=*8Qt0bt0sgL18it5A0gWXvX%-`
z9o@U%v~1eAr&-fNR}0uU=S(ULKDyoaQKwC+2A)US6p(I~U`3;e38kR_<MU#sGWeN&
zU$;>|X@=T-R;Y%OwE<X9CYCv0tr#)w5J!lZtBgc?ZfN`~mcADViQRkHO=9xq@lsoz
zEo$OVwiMm^3`46hzpf1K-Yhp;(1|ba@GQ!(uM)$JOF^bmVO7<#bdh3=Nzl#Z$tz^x
z*!-z*RWJP!q^5|1&=$h$*1&cAZFlddm7?^_uw?AULllr3p@L%WKY>mdG*IbH_M5@!
zcd@iziDJ}K;K4ICWkGO;tZ|#B_G8VLmD@DM_R2=DgRW*ZZQd=*>r?(%pQ$;K1pZ|d
ze$XK~{$th3EIX3ZJSdnvu#33(a-zijyL;!(@^LF~&j4+VqRq|8@=tG9%qNY^AL|7`
zPE-`=0z&+5#ky*82KAQ;*dH|w?iT+t!iLm8oBTFtmZ`x=xW7C{`A^J$rKS#8T^dHy
z)0~EMo)_ltnKqf{CdBN&p&NSkaty6=)QRl!7RnFbWennLyJE8pqAk@7-2_wQa~t|K
zjQk2rT}JrPCCj(Rx}=V5v@P3T0NzZBIP%I2n<_8Q)SGu(qwNP&*mQm@GB>d(PiQa7
zcd)p9SdiQCURc$lsvuLFq4*PPJil7i-TVsP&%gEc6HK3gQg^wGU)&vZjxFS@c`=RZ
zs(HBHLcN4?v2Pj`zc&=pU=9uKJ@B&HlfBQ6X{fPvizW>FLk33&8+TfifX17(Dmn47
z`Ja7>(xnNG%HUeF-Qx-o+&Y)UExX%ju;raCI5?=*Qx()RlWHq4!o7F6d+M2sUwq<7
z@FE<P_YW=+TpA69>1%(i)sQVWaWR0Vm15nvElVv^`|06B$MT)H?Ye#W2k}1k(QvbF
z*Q(t{AKsS?X$W9rjW;W?5_<;>9t!R3a~<&+xy4GvE0$NPr7<cz>p7d}qH9G6$}{<p
z^6~&2Rv8;8{V7Ukpz@9YA6Zq7-zLtv+Xw<LEninynEC9Zw?y%vKXdc;twzWd3B&H)
zZEwk0Idw_P(#p}&{RWggV>O9C#4^(Sk5Rv)a!U&^%158}TnQyu$Oon%eC;RvmNw6p
z5c&lA=q;vD0Sl{n#zSMhq=XV*Cwj_}>rRz)uA(lSf8y-?!<4dS<27#JP;sul??VBQ
zkzTC)!q0oB`>h7sxN@GUgxavn9(DeWrtgVf-l8GTJ9#%0n4zch=gk8@c`tpenfWja
zV1|k}5LQ;2_`J~!5wEHe3+?T43;7^kg7U`W7n%YzJ&5~Ky>Gr&1i--0oiRA(`I=~>
z(fa&GS-6p>)a$dwL;Fi_TC&4QrVp3a4f1Ek9~caf(mCL6&<VzoqCmVnee!+cKRNJ{
zjpjzma*y^l@z~n{vle@{y%$(n0_gd}GUbu9b_(H)_YatW0?&5XVhP2iGRJkVp>q2d
zrt8yhRr_Jca~GDU&Tj?HXPW;pDDI9iq?U2`Hx4f!mv-*|fukr-F4{}@TV0Co8PM~h
zn$mP3b0>7{kJPbzTVxIl*g#^lg7^vddPaPk&r~1xssQ~Z1CsS(<9Iq?WjpdBsBH;l
zWISYjp;(hBRZ;63&*F{O;`~<QxR=cpwi|l2r)=QiP23T}{Z{`Ci^Juz@nI$jp8X?!
z7-X`;My>^D3R+84hw%=}m)yx+s4y?IZ2m|K-xGb7Z2f>V)9HRyzx3HsoPcJovrTC5
zQARlo8{5tKBv~uq%}E6VXn|r@#q1k%J!q^Y0;MpdN)NoqZ=qmp=5YU%Uwa~DprKHN
z^n<$p1|$s#L*+`fwevTW;WT?l@2b;-jZw{iKS^vcL6XuN;+R4v$Qo*aJFY*V=GOHc
z7JkeZ#kggRdTV|`(r-NEHM}!+W~yIrMHHX5!D-rE32Zl$d}ekQ)c6<Gtocd|`by<?
zvTwdIhoQh7jQ8$nWC;E7zd{L{yJ0n5Zr-Cvxwv`>vcRP4nGx150#SXv(x)u1ak8(~
zGkZa9zvzMWk|n!;S@o<=5qRo^vuz3UU^P1dB|6_VK@ZjXRknGpCpri8W8~u$D_;b_
zfi$TmN5!neM6$yv7YkiHsbD7{uxfm-6!SSUYWj_KzBBAa{)EP{t{9$+Rd%wV_l0D)
z>j#E?`XmwNHTg#Zci<d0kJu2Ld-Gz#<x_q)12n2Xzt9rxJ)okdl~h>$+Z&~GG-a{=
zUhl+(xV+k<UERXJ=M5jFnkP>8-}DE{K=)Er0aHjiD6H9uI`gJ>BVHlTsyy3yX#eZI
z9w@G*{sYO+jAM9hdZq<SvviODVnclZ&f~`bgC6BxrtzSIZdtdFN>h=cTEQ4>>xIfp
z@?6wuaF*FDy2mhza^FY;<sDu{arQ5|_YXcuD=A}PaqKqUd(~Axa&s{YK)d5l@8<Xl
zs&K;YtjZX!yiAxp-SO7Vrr7-uxf|yWjG|3Vo~K+4?~y?Tbp1uIxn~l5M+V?1$Wf<M
z;$}NgAIfC%MlP@KOQ*}Y?w?oE3ZYC}Jk$%6_AVzxCn2==UcA8|Li1mX_M~6_Y)MRD
zY%>@0(UxP$1}RSp<Qvha-J=ew*$P&*j-nQcEmV8^MQFSE5NR|qT;k?VfPKWd!L;f)
z!R3zvcwJn;y_Hd>iTOqUz^LK?Y`Wc@fsQ~CX_{7^sG8Yb&MY^ERTc#2&khC^yX{!T
zje=kK`JAK~76wALiQWK-$#z4_FQsAkNDy0K=TCNW0KgftMacKE;J#`#U18p$xH_vQ
z;a)OTFbQ@^$WZ0UFMdU>edk~GE#5a9^w8mKy4n<A!=6CIOd8WSjZVW3%HB3zu-{-g
z?a4Ls)Rf*pRVp`%)$TLcyY#&L(RLH&PUAK^fg3L>)r1kpyqheiVM%W-X1`9{JT`Ky
zz@ixV=|wigq=AQ`eara`-()aD@f*ryK|)L)jWKn(qlOqZF&gruxeA4ao%l?j?Um_V
z0sC+m>hs>u$1L38{2>+g-%QPETsZH(>_DX<QhBl3&hyN$Ke?aFbd^)2L3f<dFBo<-
zQFv%&x^v-~q6(pDsx?7go4*8{u_zx9D6!Lvww%(1d}tW#ooyi>VlF|)Ef_<Yf?@`9
zWv!ku@j|9B@(}mKxK}4uFyY1gsGaEzAMAUBgr;@9^{DfmbMj-j4J(L1#KFSSJ{=u=
z;!*Td?%Yc#N0Z}gT_&MRn}ZK}1t0|k?GvF4R52o)2))Z7%9P2z2?+GT!VWDhpj&{|
zsU%$uhP~-EF4tbfeC<K&omZOY({G&Vd$u6Qw9&LegZg;~=T^{8A4a6wr<zS+*MoXk
zQA%=CLMWBO#|GtJeIU$%@5b2B0+fF2+c#mdw_@`vf)uGsa$ltBHx+->f-}IjP%s6r
zTP9NDk3E1w8FFw+aTTBDNYSu>a)6P!!yt&il^3#=jIf0i8_;hOBi7<!6lN2x_hCcS
z0qdT>IVEzi=f9jXn-gcJAs{xgB=ZQh+-B5!d-vRxxirXD{%oqH*+lJh_c$evu9LP6
z848B>;HUhZ{$sSLJ6Rjbq*H*d#bWqa|Ka9g4sYd->OVEv2)ZENYD<KwiBZc2(O1dL
zk8f>j(?l8Azpye9OD|*UpN4}0z&l|(RCpbH)s|e-emlovmSB+k<%;!d^z#>7`fq#e
z)t;Y{7-=SVcN7`95KQTT<Jeq(u()8YCW*e`){Y`20rO~GjAr%ct8_X0Zi8}IF`bWI
zP>tB+9WI{qg{#*7U^`qNdd+H|3w<C`I5=y86y7Yw9{W|)3yXqfLGS)lA}wIkgR9=t
z2jP1Ci7_6*2gi;a?U9FSiWnCDYL9*HHog&bIDy1Eamov&T1RE{c^o4@9N0ZwB8wsl
zvVq&g6__ubXK}5F|G^Q)0k3g3!c4@xG33q)Ej8S#{xEyj-$}^qKyUgq?3LSCmm!AP
zw<aRiBZq=C6;1?6M5!K@cnu<O83+-JiS83@F_I0jh?J-E6?C}u$+fH@YXJ%mA(g;~
zPW`1Ktlsja9x$j@h4f<$uq=d30tyM=T_E_L6uzW+s1C<-oQprG?&OQ4KvhEBkz}vO
z4-+vVua!uLYmnW$5Rai*pcD(g7<jw3IO3#Z>2u8PJ)yufe6Hl*?>86k<HL<n7xCdL
z$S>v2Gzt2kVto&Nl3!hC09u)d6ObMNd_)FrOJ?XY;l+`eoI?C{^yPDizW?F!jB?_3
z^Ea-%39r{<hg=geVk8J@=rYAIW-@U|+SZ+kWuxfw$Q>L5>yL<Cm<7L|?h#^sgZBHH
zO2MAPjnA|)s%d9Qm1U64pz}vlraZwtS3kh)FA$<%&IV>)03eYOp1R?lbHI&<;05{l
z?$AW2t|%6{wt9hKQ-}IqXfhe@2ZEm9TWmMS!Z6ljHGeQW=%$xwCtkzzP1djvbk_&c
zLQa9EojCcxHD)Oi_I_O0NdC#YrBnE{CEcdig|40a<X|$HfAnx1qfQY)%a6?VV+9Wx
z3IUM_S{?j(RPEgj^ekO;ef<uuKtioVhALkHCo|#Se^Fs_wB0qi@&za->?L*+d%!4>
zSR`!w8;jm~Cs%&>R6DwUp70_J>Z{5?0h93Wa()7I>IHa&*@CIqz?q)(&KskZsIbE9
zPX4NyON4iXPOyb60mFxO1RS3})W{GSY7RKGo&G`r_5ct3a|pMDd&+Bt)i8yZtF%wy
z)pQw;4;a?T*x9bJ7A8dc^z{@bRENzufl%wtX$4+>L_tCUa9sU}x$jIx;yQQJoV&Hh
zX6)pe%!Lh3PXqO_`q-tz7?Jz1e`VE4dl(D)xPX4t4IrEA-JyA2TekReR?ly`=efW|
z$4Fz8)klQtA8M1}^_&}KX1`@)G4|*`6^^x}<V+Kb>+g%M->OM?V=Wp;>+Akm*YpRa
z{>B2gpNS6E^um~mCdcfrqW6lbhrJ5nzw22CiCi@1N%tT=;-UU~Vt;s7B#J`E?_WDZ
z01VrT*aBXO#(~=EGnYaBUTqV%Kc)EW>Eid(weL^*9cKwSE<0}eA)M^8zfp0!cC4F$
zXEGnX`*pk=p6oa_v~#A<6C@k$&qb^Qu%sylk~9WEl`5PGh9E(m2D0X+a!{5di<16Z
zDe%pUF4+!oSHlr+CHS|5z>Z0_(@p-~gvD;{@yno*jrfcO+P*mUp7TSq(BoO-7Gp$H
z8pNeBSfqtwbb0!?l2BvTzG{r=jp+-cN!7=2;-lPw@81<^v!5E1p&Xp8iRtvRy@jLm
z$M$V-;o9iqxKFW5bzDZw$6YH@j)B(sp9+lfwBR0cO>@@wfL2oR!Q)k{lgel6i_G={
z=q^%&jc>=4b6m7j-B5u`u;6rCA!9YXi#EI{g_FiLxW!edDa3PT;B37Et@L-2D0sFC
zp`g6B9d?2#N)0Ky`3Fzfe8E2&dNyO<ig{BvpR7)Id~?S@cP{Zn>y1m}&XSD-!F0eI
z%)Al-k@NSv_~V2h6<;bww4}|E_m1O5?J4j(%ub?lBTpuILcIfzZ2U~T8nqEH)M?5d
z%7qsUVsl{xnKD0r2Id42+6nUL>tEIhQ-lXA?YMq)j)U*=O#^&Jh#Bvkfh<*jIH3X~
z%E0`9dT(EN3kI@tK++AJb3>`2e8j_L0ojUr&p((1a?5C_=w_WZB=l9^GysPvqlao(
zlCSMKleM1O9&kug^zLZ>d_(2Q6@@1Mbo-jny7&EEP!#Pnc@(|hlR`U1f7;HB-Gilb
zw9BX4ZEx%Iqa|NVQqDEeU1D%lnMkb22zQqY`E=Z7@$NSaTm}Rc2VWM40-}r7`~Z8(
z?JtZW<cI`fdNnqIry%`!9au%T3#&oVE|MUhqj?H+FN6xSh92Yl@+|4apC)s~>d8;H
z{)Zw%UE*pDCK#?1>tOT<9%KemV5b^e{9MmM{8RUDeZD)yq!VOgeE8Kj{B_}+p&6g2
zKEZrg2CI36{6e>YG<ZgTjLw>S?J@K+M=zwFQ75uGWbF*O=-2YeGnnrLKFk5j(B7+`
zsatdr`(#yxFE4BwSF;*=;fgCzEmA3JLW^zaF{iCjLCPkb=XXs&1gJ^tPS;Gb-c7DY
zG^Zt|JZ^yJ|LHPwSn}hqX6a=+@)6GQ^;Wc^Ej;ri;9?oMyo6PG|M2&_p(7FT&ty}&
zoz$maJ=o^sP0u07;tN)u;WZJLFx;3d*yhg&vK`As1XU3EZQBy5uzSczL5}=}HHC??
zY}zIWhJ4Qrx?jMoB~-qui7emJ#4Cmw!6*!1wLU=i-mf50J`Y_{JS=%no6DTCgCGUH
z1YWjHXwOj=C>(E=yhC_@Ml990hK<<7(1?pL(qlG?G3TsbPcsvdk0F_S<I+7+_cL+q
zqmEkq{>OSo60`@t0f{H<i9eAN5?a4b?$rK%j&AF&Jm)0sRiSo-v8WO7!%1!21)T(a
zfS(@R9~k+q9+z^zaCg2DF8-(HI)Dm|t3a>?Iq@k}quRqRTP94>EZiExIi?PH7ta>l
zB%7b$vbhvJx)M<_CwTqsgiMJSOfGMIfgprpC=6vG?Bn}ny<yR?@9A(Wv}Hd?Fv$YB
zEFG`k*l>hKgnq-bB##J_BWnD7az4eTGLd*KZD64%_*}B$*j`;VxVQNg@Ndm4-Sh0!
zN1jWS98rzk%Rv*R$WqAXx)s`LcN-8W|6eIL@h`@th{E5qu9$c=?lsX^w_hklp1>4M
zQnc11HDl;@q4~u0429XO4H4JH2L^0Yqbqc?k5?3d>a_57HujX(9P7CWIqA+&u&y}1
zal$^GH56Qnn=gxi;&4ZNSW#P@C`)cKw=Ht%(&YKee-KNy(F+MJj<tNN@5L4vkWN~7
z)Wdh<b(EfYLxA|AI_coU7B{m1iKg*n@E1Qp+YVCbVI<@Twh@3Vl%nhhV>!OoyiFP<
zgwJ?Rvd*MCKgFxxfDnu4{L32rs26?l*3!(QiiS>ro%#dOp5rxmWxhg?Jw*zX#rox+
z`9DwLJQX}CQd~~lL1x1qu&CSoeu$*&7FRI-J_^0c7Hlno*N>hjZwr((IN=r=&ijA-
z>{MTL8aw_}kXj=9o$N-b9_{0&DV)kkx>4Q+=|o%3TpGDheZko?#y&Z+{}0mwt<gX5
ziZcx$CXr5lsc$f2{L?1sFe{?c{l=Y9E?*Q`nH7mo=RbHRZNKV_Jh^XqL$?8UNlJ~Z
z6T7wS^z|6Jmjw;osG|lQN_14ev%R2&{V@~uJTfCn@a1z3QL{4Mu9Zy6JJ9CVlqEw^
zmNd;sk)UA6_?6gV+Wjt5^6GcRJ685U;^52&5wKZ#gf(KZKLbsgN?H0OH2w~Mk|Ky-
zk?zEF|0>PYWg}Ul4dqS}g@;B4H7a%tUY*)m)3dFnY`p59C^yyru+$vze%Xq5i<6v>
zm)Yi=gqH|EmeyNkA&b8GeYO6s7hx|xAYK@r!PVnU;90j7EYxKPyvj-rC)WZ>w3BoL
zB1XPq4siRWX7Z~uq%gy<NuAoXoIK;W<z{cZL1*Iype2PZdTsYhIJh1ahl<#z6*p8g
z=tMgzXY!#wGjXAiwQf@hjit-C=RS}0L@bfvBt|ufpA)ejS+^XlDJ)-M;;YtW{~tL7
zSNK&UK(1I82xONQTiEIF4>Z--^E4<txO&G1v+Ieh-6f)JDUv_orC|tu#E)d3p731K
zj>!Q_#+{!kF#gz(Y?Kz|(t#bh09~bA_@gt7P>1)}_Uou)I1F}Ea6@S6%k&C&^aRtT
zR0T5S>U@RO--wrKZn@2>7hn!ypuxzu0R=$?2|+lqVe8So&CQ4#aTQUMO}5L=C;_)E
z<`a^{h;A5zrv>%$88+8jrEPz8EWVPuxrbKYlYi=r%i<ELPU&0k*EM%|!_v!Q#pyD7
zXGl1i?(j)vKW^`H!!&q7`lmQD?%{pD-XZU=+Had6B<uG>K7lBk?5!zYX>0=U(`~or
z2qNY$B;V(p;=29Nn<=HiYrGKKIgXeWhX&fN6T!V<_Uz3!RUEsr5PtYn>UaK9f6TyW
zZ+TBh%<J>CUd4yLehC}OB6fYS3J4g-iYni_%2`!@>nGS^w0$hQU$!&%<zwx!qhhTP
zA>%)g<tcCns)v7iLL6vZXF)DfGtmzN1c!WKa<CdD<ha0AJvBofYJ6p5DQ_Vjq!@a3
znvmF^^kb_rKELu)g7BYCOHR(WT(v%=O=wmArA^d)co{ZV(II>8P6rddM6v&zPM_zi
z<}m&V2Dz4jy*VjSb=Iwu6j*=a#r-_Rzv*zZ0Dwyb6NHsVKV(|MB+vh1e$SA0!Nwcp
zaO$5niqd5;M=iNJbSo7IM2R{asgXiRKH9srP&c;&_%yQQz!w)~d&%>j$x6q~H>UJZ
z8ggf?Q{ElG75I{wgdMT{XuVnSvo<!<(M+8cQ&Kis{Bq7dicQ#ye(C^&+|k_;s@ZQT
z07<A$k)i4mj2q2Owb5c$t!G2#tENnh0OEaY0*rGK>`DZ?r{wu$MD>Yk+FlIfi~71d
zWnez;9Nj;30e_%5xmNl>n;Z_ILU8VUy@&j(;%$n~QJu7BV-TkY;pt(GH;V*b%WE`U
z*eV*(9;I(H6EmjbAI8<|Y^VVWqL9L`7C4*JYMLp`<AxX=eh=p4FjC@EUIAo)uW;dm
zH81?i$$G{@aa~pWcQ^6m1y_87Rzid01zpbFSDvum`o`C(bw||sKi(&<C>6n~VY5>m
zO+t`@)@OU_qFc^_L&wPXpBnf~o5eRj6W{hDYkF7_YjX=V<)$|(WY+=wz9?rXo$gS%
z57HerO&h$~;<x{YlpuNR|40ctp9=@)&zUCVi<(~lGx|@Y7U|7L8Edxv<%sIo7a?7<
z0!a3cWnZ#fb#vL4p0;s#G(Y7DggG<(0FO8U<twn=m?s`nqkioPL#vXw1CAC<_diW}
z&jB|~rDQ~<7HRfa%6d2co^4&|wrfku1jNF<Ufr(oF=a;)L|d$Jq1!9L_J-_K>einr
zW0y@xBIS$AZH9DpPWun`DMtz<j__hrdujPeO7|bYF;ltC!sgtG;U_7G&19dzcN`82
zJJ)gyS#zaFN%>*^coeM@@2eF2SdWgsXB#W@uUy(0_Lm#xKxN+DR!#UHGJ$_X0L0tZ
zVOaF9;~4kf{Ud<vUbMQg`0ir$lUK(#-{u8A?yvSKOBpo*>G5c1KH^@Gx;76J{dv{j
zdE$QMk+7iL`70eQM+dz*nLtAynGMNyr@LD*v9Xh2!n%nDRGzi`oX2N9%b$Dc-ui!V
zhEL>rwU~KDZGP$s{c0{j?|b1o76_qxI0We)Y*Dzdi|~yv<f9+`BnT_TR%dsC#V;gw
z&(1^p0-8_`-FHGs$z7Y^F($L_g?zCsJ%lfUTZ*?WmmSFyjge)yD*C#;G6DW`%B2iF
z%Wdix{|*&qLK2{muXK!o&_=*$l`#J^LGqXUI#Hw6X0+U)Z!OWd)L_WLr$oNYrM-Cn
zUTit@%hd(g>zDMCAVcLIc)x}qW{!|UU_=?C6y#w0{wR&-@x`@~gh)Jr#*FcZo8_fn
zYLu@92O>zA`^I``RJhfb@amW!-b0wY!-<rHEyN=>KRO}dv}GUI`+bg}w4g^zWQN67
zm^U;5%KU9_=n&61GjdHMwTlZ!i(ZgrG>%+_dz^04E-jedkvtrRtDe$<UUoG=51Bv>
zTbR~iWFFGn0#6NmNHzWT65xGh8C+HP=gc#vdXc#0q*_M>ztZ%q3ci#ybiEn6c~oTi
z6Bxq5ZFSs^0b%bV5~tk(+gOOKqyKM_e7GAoq-h0lTN#vd>vyydw?EInU~l#xT2vk~
z#)IAjKVHcB6RsrOhqX6a`X{9SHj4mV{5mlZUjuYlH`YQ?W3hwY39nu%vf>YsqPBn{
zO$G`xgcDL7&{SzqS<6fW`Nqc*UzofmByKy>Sc9q`vk6YROQW2;>>UU{E<yvr(_s2a
zX$D)7n1Wt}K1_DTL}SbFX<!Qvm^Ku#Uto-IQ}Z^Ds5h_6hzsi*c)*MgK7tDY@b6eQ
z?v0f09X}i(h7MR<K;l3)fkvvDy-qz{%r#fN><mN#Mq8{z=$z!GZ18?)Pgj6nD`@55
zQDsf?@6{DCGQQkEPhS&-4Le|(D)k;&1a>dc4!QPTS|UcX*FUiL@8!Y&fIop8+u%{m
z`mg>~L+^JvE>{q>h<dAp3}=zE&6*f;`yaqC5Cn2p8PQsD&nJXch(phdIP3jl*58!*
z(GF3OYqYK}p|t_4M^1}PJ9uPg7)n8%{t4FrKlL+4hjqck*9n9w>l4`U39zcE=>A(z
znFkF%(~FLYnRbLL0LU4=+R*jXBc73zzX^RY*|?w(;%EHeumeFqyBgG|?GfY?wi*EP
zB!rsZ5ABaxKh!Aw!#xg7D-i*((}Vv6Y@+S87X{7<P8s(&H@^2(qF*A`=M6T7^@8B!
zGDHN{)5IRZWBxETM6>d+7#*yy`eLld9(b-TQ}2=$q5M9E|ISM3mH+UpYxTzh3IBo1
z)bnz~`>eMndWxA_Nq?)QijnKYrMzwCqwl93Pz%sI${py#6N%yCpjW|qSQ(7LHexIP
zqPog|F{N)u_LZOCyc}ThBCFPoQ9%hgj3}LW40Hx(Cm+sMY)lrs_W=@f=qUpD$G@~S
za-$?6W?tXx;Qq@qYUcVSL`!(f-;4W<LD}lHXIA}R8`B=;IR*cF82R=rzJ$}nj|v^L
zlru5<u)dJ`KhS4=-$coGX-p|58m%&=e9=Jju#j_(2xPoN`C2Xr@b7Xee8<qZnV9wA
zhU=#PgSNf~0mqPj3nY91H%_73Vq5(C75*c>=N60`X40-{Z=OdyRIOircHO1p*%CL#
za{Q4n9b*DlJz(!llQzq)FxWc*Q)gC39BEvNhUP*7A9t?$z-mN>OULLIKL>b&HWL?i
zTwSZ=PZm1-S4`ttkU}_~${Jc$%zWYOp|E}S!BS1N)$Vx!D?f`?EG;paW60S@jVF^e
z`QQm#xjcLyDzo?xohdG+iFaqlXn*Y%WJ_%&ATuVsSm!I0&nXq{Ed3p6`GI*<i1Cog
zfuZ`I(l#pO9B{xW2cf`Q{EMx@=_Cq|Bz}=V56{|V-9&MAdiU_cN&n+ZcFHJ6@Ci(J
zCp#)KAU_^l5{!&T<Qf=w$afXiYi8Jd(;lPCJ#q?kLewKQI>)*$R=7+=jV$Yz3*ug`
z##%D{hZ;}BXp+aR%6|Ci?ahFoS!LB*9;OAg$o~H7;X=BCIi$?4>&!u~X)$a(*)7@p
zI!FTo&!@aOj2IuPL;h1qKUmSe>YkSX3xArQmC0VA8=3z;Torv5t*8JE`VhNR$dMa4
zRH~FgLE?1OEQV74;%_C7PCPgQW`0XIQi@p(Pm{gafR1(tuyV2SkPr~ac?f~py2A%I
z10(|=KJ~ptk7pMPO=fH5K=`Ngb57mypklTqofv6H<&@95kOT(i$&#XQK}%i5jJm<d
zL-aiWrKhKnx~-|_RAco;_8WC=kd}UJFW_%x88-3ntDB}?cC&^&Fe$FB^2nr<K<9_(
z{Na=vsc-j`*FIh*C^9XiVP~<n&<U98#)I4{OD5vovgcdPdpeT$b!@Y^H{U!S|CF=;
ze|V?d)Hw47L%2xcf&X7{Zv>j7g}WmzErK<4z?p(C!%r*Mk+@g?7pcBBQAR~9$X_2R
zHWT=e`0F<-(0SWN`KlS=_G^(lx+yciC5v$HgR8Tcq@LEmAy*;hu;rhh44+(6i~VoW
zpqs{g1qXsSA%2bmh!TO`^=iGnQ1#!^xe#83Y6q0E&foR2uCK*qbbVGKFA2*zpuQPs
z_uZr$m{C>Hpv0z7YeOo6Ss-Q63WyRoLUk!2PZo#tIo~+JvE4cyU?Sy6yJr~(f>cHD
z<e(}}Ii0&KyD{O&mP^@1PiUf+-UBA|PT9J*s4$4oGr=|$xBrk%I>Nk&=>i?cdpnJd
zrq%qK2n;RiI;u%hc!^cLJ||t1ZasajY`wUBT*G44I)5}^m%VP`s(tsqh5h6n0Vjpw
z8MH4`TofkYxs?`&h<kF+pLH?gQ%LQTyIzFs@!zl7;!lHa>gD7Ebi>Zorny9>g{gv^
zI-#>kvSrYer?i9)db1EC?)2YcOu%`#M|OC1*zuY8PUo6cxvo(Ag-g3G8UlZ}bULm;
zmqUw#U7WK3E27-;1B~8+h^<!q@er55KI{@|^M`xUX0mulJbC0@Eopt@JOtpF-F#Lc
z3h9D~w3@xM5Tyj#;6L+oZXNL|_`2CNB?8guD9_2x_c2r8eXX9%Qc>jkepwT?im7NU
z4`<%B5~N)v7BXcL%*KP*woaih#sGWi*d6qK5Si01qzF0z`PAqsg65?Tp$}#;e#0B1
zQ}dn2@GnLLePWs_7^=VY4@&wt)=aPxLqt+yW1l6N^w5xAR-SWRv(mX4y*?FBL%#iB
z#wz<@*ILCFmZ5Tu;8H==PAu^UmnZFLP8!fdaL2}2*vabr^a{bZlNtbj(A|`24#wDa
z`Co%K+W}pUzrJ@zD7|D{+;yX1O+eVfNQtV*9UjJ#D_)!-L}<6DGbUIE6|l&>my#Za
z@%>up^nFw_Q}>Gf>zP8zJ=_Gn(@*ZXkl7<?1HT6iJKRk}%h-ggqY)d-BoBAmIHA--
z`1~IDjqU7beiR@|(AGDop~|mmNDb@FHy6#9xw+G}qerN~a88XUXF;=`cw`}VMdf&d
zA9jUlh^h^H_MnhQw}nug<XW+%v1cK`zlVK@SbtIZVH*k!X=LSjZg$nIXBJQNze*5B
z%C7$wOv}&Fftnj=-zfV*_c7&ybizu4o)pF%07*qR^)v+B$)j!WJ6R5$WcF1pou<2-
zRL#3%lPvscxVZDY_NX#vycDs~FZ@h;4MMNQWT^>jnRNkSYvk}yj4eNOxXDyur+s9j
z?5Rv@{Fn8Bw61e(hE?w7L+1tvER(y^lWR!ibKg^PA9v*BT<;$({O7CQ<(|@`d<bAq
zTY=lWP=YWJQ_sQ|`bMND@O3m>9S0<wv8%;VYY1Y?=;bnnkM@C5CL;G9GGAi=dk7~P
ze#f?%|7!aKb~NNNa6(;Cy2u(oDXKAv=Eq2tC(-;7a_KuI)ZyRHk_$H+p>oCBI;1<S
z)sTwG@!6s~TKsj#@l44#>lGKLfTN^|gIPkY9pIZ2-4T}6>6))S9a^`aRjbKav>?S<
z4itr*e)v?_S)}da70q%Ml+q;j>*Gp<XioPK-`TYVi~y_WKX3-m+ce&YDKa$&!F2C!
zj_eu4w5Q2i_OH;+Q$6}z9<8Thl%Ic1UHbax?3>zg-HoK)qzCa29-J2)s|ObP{0B!v
zK9?msSff{dYxKJP+6?;24p!i*lY*B;9Rg+7Mf+BZj$2`e>}CD0zsP10lgT@ci&nwi
zm-xDESz;=4312(AC2fPS3m%NOB1br1^(lRE+LbGoR*Z5kD9YA<C?B14FC`g%L($P*
zgXxCQT{%As4c&+@Y~^t9&6&Vt;p4#8wu2a~`0wnTjH4H<Ml5?vIWjulo65&(kr>d&
zEt_M&R~d}H+5Ki6vL7nttn|;_7gJTc`M-~sn21*Nsda9R?~e15`yKR#U%k`dR?n1q
zx0&#<208{sUcSpP{ZeJ7`;@`%o~M*z$C!h_$T>^&hHuHqU~g~9Sla*^pkg@?@7`82
zl5i>(2%u?Lo=Y;o^#9)W6P&jhPt>g-P7y>Qz0Vyz&Drn=X0P3enB^BtbMoQ_PbmA^
zE^D)-w$h#c-^)WNAmM8BwG2a#LnVFq^7Go0*4a1K3JU>8*fztyrQx7*qu>3EOg>JC
zba^G8zCLBbc3S_&sU<-7mXP>}r3$ukgza3SiTj(>wfAJXk`v^R_J|jpFJDiced#C?
z$Q)L^@af>#UUKN%hSm0hWS)rOvRLQyOctT<Z7m@WJ@<E9cV0;|k_}*8?zzEE>%gxe
z+v`cL;5GxYB)q)<4~7$~_hbNVr<Bc=|HsvT$5Z|P|Km8vcC1oXW)ZT5WJk|L$dfX%
zvqCtMJsw9{4I`V3JR?t$Eo2=dBdhG~AS=$X9qaJDpX2#@e}0$WU%8wfkNe|xzs>7y
zJnoPAYa^KgU2~bbNfcH+m!UFMx~Y3fxik2qjr`-2Hw9}RC8|qzGKaG6K#i0~0ZP}x
z6<g}LHS%*$$XiZZ6cH&S@%&oO2Ay&0j$ESap<R82=GyMq>tWBbgB7_`u4%>H(anFu
zRWX?ClyOx@OhAdp@YB_h48CW#=|rR7`PtEY6hM;jITS~Phh}Ky6mUYLnUr6{MLqr0
zECSd&pGngwGe5lno8c3=zoj#K2*ueOpVFJgZZ~#le=NLOur#H(KOTfyVnp^@_N@e$
zk8qVMlKVc7oN1pt-o<j@3Wg-W=Nc22fBm(0-H!%AqFnw@m)(q+J2<%1!nViaz-66e
z|Lz(^*&0S8KR9wZx$_THhs$F#bN&AlqzU<C#2iW6FDns#t+=bHkMVo5cJ9IO-3hai
z-Hh|J>{x;8lLA`(|K40JD=D2W^|54gTuaf@LASD*UYM;PQU?cwq_v_nZa?aJr^tFL
zb|YMrMRnLxJ83~BR(j(U#u{tS+L*Mq(VJ=q<theWs?L{esN7J{f9j@WcZ9>amlmr$
zE?y<Wdwlu@&Ac1ECtJ)5N2=<0H!R+<4zT&+13Mi@efzjs`2R$N4u%>QORvZ*VIG{W
zMggMl4BAuKHEmP>q$qcL(G~p?p|65Atwx_@dKRVATWBt1SRe+;K2}*lz@!iBcV3s+
zVyxO6;}c95LUEL%X3@v%v1OS?Uj;34r1<*(f{U4sy-VsiN1o{%BG{%?!u3b>L)pYf
zJ1URhFwsSC+A-2hmk?9C%DU_=t?$ML5J~xwqd`IR$zbrJw_|)CpQ2KE)k~M|T0uxT
z>`&@~K-r_U*hEKmt&jCkGWMkh#Iyfb;*n>8xyyfY=vX)YyS}mg<Kybnx#u!Ls~72)
z(obPUT#FJ~as2fEx=OWTTO%f{5A>c0+f}ujEyvf#_li8nhHq0I@gU>)wLV@=sBYwx
z=j6S5Y<qs0THtF~!ZV#R+|AO~ZtSLTg_qZ6Yc~rwM}aaURDL%p|JbW6WmY&WV2bLM
zr4GKcB%tGjWJCJ%h!Etd>Iw3W5&vnPkrdp(@h-FMV*M-8pFy4tjqhZ}15%S3jYR&s
zp7AH5Q0~yv?YAl3={K$*=_D991K<5f%`dQ1Kn=%@$JyyRYaLc_Qk;HnaKIxWL0i1H
zR-8<Om@~xK2hJ>rl@_7lWbe;h5YwhvpB#yPD&BN>fU#L$#y&R*3@?mp&3-WV@(W5G
zjrTi!)w~a0GW_j%LNA}Hz3?`)kZxzS^N+vJ8@t^~(jwSi--Kbv3`N6G-$^j35_vjV
zV8~jmeg_P<{_&ZRqx%gQ?j6O!X;|U(jRVUWx<E)`-KxK@JfiE#dhQW^pS3gYJy{~s
z)8~_qd(=t#B|jsG;{gAn>6AO>btyx2)ndS?LfcU+zm|cnh@+Z$N~K2V)*};H`sRDr
zMm|kGvY&gQUW?`U3^r{mfQs2#oaj$rZD(18<?(MkyUcU{O5=dCoY;2PbqRRi11qP=
z0Cs32sLa|fRaCx#wK_^v<6s-*PCI{P<207y2^0fdi(_!Tj?wvrc2q%t@{;WV9!EN{
zwOQK%+r-=7%Cp<8_95fpeZ$pOcWRIB4_>Ul3JoiU2yXjjpk(bzJMNR+*x6p2l^zc`
z;IU>NYs7%{yX@9m7|F$pOWW@R_eLo}1*%ae!Ss7L-v@8)QS}u2R(?l&HkL=cWsUxU
zDQmWucqpgU76@vm^?4?BtxNLNC3OE6CM(P8uQV!KfqlXlv7LXXQaBI<pFW+M_1G2k
zX^+nBUl2AXwbHS<7%~!$x_H#4H)*YiQtV)Oe=NQsZ(6eTH~Ny@ST9eJG~`HC!X}?A
zsu*-nW!<BUWQ&I+50|zriBQ_mEkkYh2CiK$TU$Pvyl3?K@LHMmu4S3%@(q~CVJeOZ
zabe?cbn*dr*3~X)h{CiGQSo-s@>_>=?L=oV)*fw)5)AQEt0ZTCvbHq245Ab;sw<7{
zSKR)M_~gywJO1U!R<1D{IvsdE!CUYu@u-an_Y3m`U0~O=_sED0qE?dE=}Q2v-aG7>
zbYZ7uKX8KA7VP#E&pkGq_M;XbQ!#iCA_0eZ2$OMDt7l%KpB2Y}b%(Z{Qsy0_Jo}=_
zXR1D&$`SB(|E!0i?7#Q9>`WJp8D&b6sm-&Xp;a5SvMiSVK{0gXRHn1<Jhp-FnIbLx
z(fH@r%%l5sh|}=DC*de9{Nx11vDeAagwLUA?Yk_`k9`VX+q~G0*Ns1dojCtXiu;)D
zC{{4}_e+!cqaCaAe9Jc-&g2)B8I=A?8k^=qTTv>-Hcm^@^(BIhJjS@%v14nJfGf|0
zkIa2**zP|_gm9z34lw|*G@A@_f9ohKcCoi++|}3A(tQe6pUHDHO@q3uW^_;4vBG0k
z5m*Ob+7X`H0=~f#CFyI{FXm_(T~VfXr?xk<);^xojHUQ3pcVIEs5>lHuWQ`ndU_*;
z5$9h5sWysh-}2V$^#7g7e9E?Bp$)XD-&b-Fc~k`j?4G_7oyS{6RAa62rYDmV9nw<;
z84UHwg_I**9WS=uguwr`IJN?J<UIV*nb6yzf}uf){j?PO_1H3(y_=wSaWcYmxa|CG
zWPF5QkAHe{V?)HBroDf}(e?F<KymY9_Q>b{X%16DbAt$`k$8v^VWeQ_QJk3l81okT
zNeL+CcQR*p4i9k0(Qo_jDkwl-wmcR;%Pke-FRp;~(|$XMk~lbGN+`s~>5O$llqHJa
zjs>_Rz6x90s}50Dr~@SM%a+gfB6vg^oe|R(E#KfEtb973bU}ejEwnx_E+dMp^$0!R
z_aM~-jE~-ACzw-w8^W;~2Q86X(~OatF~;LHC)~rGFvXx};faj$daJ4e;TI*9!Oru?
z$RooJF{M`mbo-F8R`-S<W^pVTx8)Gw2ES83n>I?BWN8tDQHwf7|8sGl_4CNRQ;w4K
z!lFa{K(2kEvFtBzkiEfeUw_Z@z)pfAiP~ULpoiR=HH8%2US{}x@)sI(k9qi~%1V~P
zJ1fD*V6?{Rc9k%J%=r#|?H`<E=E)Fdrmxyv{|M2qO5PwJs{DKcUU$Jat+1~9CMv<w
zb{v_Day{5TKo!~eeg*!K`5G%I*TFHu=E3q~0cyyMl8-+G;kfP){U76-Do<vVn=b*S
zjDvDKY=zjdQ?kl8;wYvHQmN{$ySwwkOHMiDsrTO>PiK)p^hye$^^@v*^%Zf6iKgHy
zX`H^a@}Y$Zx>Zqj0<MSKTcp@~fd8c>InRcjOyV0eE!hy4DvS>j9;aBPIR3}%ANnw?
z<5F=}&X(1~`XC_)LvE>M<WFf0UD|Lf>)xM%O)~@rQwR77o0im9wXCo|S(kIC?gRS=
zr`$(}js`9Eh^Kf3OskYjU(GkrqvW-)CPXkG#UZdTe0xMz7E6V$_dC+Q*0kq#ZXaHT
zJi5gG2!(%1_eCih>~l{GD8s6?pI}9mzTYWT&JYaC*M(S@gY5CtuKHl1xVGGE@=2@o
zMwN&2C$~^<>+tTfZO?iBskEj(BH54N>jjEv@K<SYK&H7=5UHeC;~tawj@^uth-GU-
zdC(kq{q14fU9gV9Hix#+{##OPpD_4PmDHyrrY|4EOBeyI^zXYEgzWNtnhM`<?Xf3H
zW#74(Y5?)oDi`K?kKH0{##vi~rrN#J%5k`Q2LJc(ybvz3!b%@%LcHrQaWbPTt))J4
zEeUiSrVB#`)Z9VUo9_=k25l2SeU6r+5Gl@VYh>W_B;3wxh_qp%k7KIIU)4<%*r#}_
z`pwkQclE(1yy(#5IdG7i@or6SbJNZ%h}4J3#$Le2nNF)lavhA<dLl~7?`Q&F_zTbD
z=EG>iL$V|%nRju2jwwq-D{k<%Q7<xu=Pk$Ogb@c!Mjk8W6e;GRN=EfFN`(1vbcW>i
z^t;J?KoWnHCfLrY;D!?7ylK=Pj?A5WJS1z$Hq&9|mf1sm@$oLJ#wbJu<{%|vDSoYb
zh?bD<qyBqDe>pO#uAEzZDowT}HB74VPgRzI@L$Z>kcEsZmG=k~a}<Z4N6f(MRNNaQ
zMF;Q^AleuN<1uPAZO1Dp&FwvXGHh&O$(Wizc|(#9+565DeMx;+KLVrpO%0rUlH+T>
zk=On64666C*sZYu=3U5x%^)n?e_JvEsff}=bv}?DuXTm>!W0fukNB>I9GFE^$BewA
z=(`W&CYgR{-~AjNfV$Dyu%1PxNxxYGZq@y#o?ghVtm=1`!K701j~d08CW;uNES^Qy
z@nQEfM@cV>W<W?F<Rt0kVJQ^pFlev?yw-p3VAK><t})p{kNRb|;Bp>q)#2QIziT~9
zn<erTQwN<Zp&ONJT>^ev_Ejo;3^y(87QS6&hv^4uR0`B+k6ef|W!wp6L7+cJhLaTM
zRvXeDg7J!m_;}3L_d}ji^zy+!ksULbuB3E@D28Z+2!<rXj7e4?No8Z;;b?O1!84lK
zl}ecqjIuDSp{35AlRB?k{$MbH?3_+}c{1$$Eo~MZNO&ydON1c}>XZt>i5MAustcTV
zo%4NO@oVNCWZ0}Rp17L_mEuBEe+LEM%T9m0J3(;ox|U+L^&#h^;VJ#A<CJBhf#A1Y
zNn27$MaU&W4DoBRaLS(}hmYqut9eO58!U{>@XL%ixW;MA`70gn{04hjVPPsN2-UcN
zJ9$x9bj)X4E(^%oye2CATmhLPI{?)Cq<8667#;3O_?bBrq{6Tfq*buw-}pvB#ky4s
zlv#)#S_XX%O>bKYtS!ewNKJIm9g5*Pa9K8Otk1oJ-xG1v@cnywj6#uz?cG_BB>yQ&
zin~G9NNP#BMlnquh!pK$K+q%T5L7=YkE!?1|5W&+2;3-#u~CMaH<q5MswrAYBWU3j
z)3>f}C5k202SLG(Qnf)>Dgq?yiB?)*3hYb}o_Ts+K27w)^aL~yFoDR{$x%qu$1+6%
zSq0`DZjP=3)|nT|CI;S*89RK6QAbS?Fak&gs~l*m$pUHRxqQpAr0mhQC<ALn#GKF?
zaKKKSBB0Ccat-tNW@^rzo9sw^YH*|hND~43oeAu>DN6`u-1_tJr6}_W)s=EC@UU0b
z(D!#tF@1`PHp3XxZTL}BFU7&`g-=tKLBRoV$*TUDzWa;>w2(HKCeRWj34CiGX)!l8
z3V1qQ&TM_XtA#HY4i0YAvKaVfRdcKCsP7&eW!&{vVPN7ZRMsPs905o+jwd-Hy?(@Q
zSik~2LqEU1s35cAHB5!R9&~lbP%oS!(V;AO^ecf@E#?R16qC$o9MY`gPo+CmX0bGO
z3YA5g`)eW%-0J&mj5O?U6%;l;)p3311n2&q`9J=PGKQ!i2rZ5_LphPXRp!{|+}L_I
z4FF{S{@_=(#~q4QO<NhJ+dpjixZ^74<*Jt(#$7Hj>Of-bXAovZ_8v-^G?=!VDwFbr
zDTOLWw(ZpC<Z%4m4DqoS0Cah?VE4^GF`h<Nd*h2z#rYIR#lW3+HZ%Vae4Vaj&v^tS
zwn2+lL4QY$gw%Ha_`w$9(EPtyf(HW``Ch$u-F1MVj!kcp%{3Qt0SC$gxn-I<UBxHF
zYr)4bh3(}YgvIimU|1-ju>n5%cl$o;)=2W(Zg22=TltRY2Z8m%h<jBIJr4(vhUMOo
zKmA-Vvg)&_2dh;;2ei)1+(*?PUHR3x=2dU>>0uhgrSw=4{LWDoCy?k}nyzzTzXos3
z!=c(U3+nHHXa;p1+Dv5<cc2e;kd@KsJ#<s0vr$3QfpFja!+=Z5KiVn^^DAsY6RXl(
zmSXOepJ3RqZcB{@L0W15rU`)L|3u;A$nGNou;1`%?|7<7a0+QPOesl~^A7URy#-4l
z^2shd`6Lm4j8rqKlsS$P@eQQKtY1z(S=?pSSLAtI>)!(~eHwp%ZkQflZP3sg<dyAS
zZ~2DC!d-RzUh6Yy@Wi+Tmn7uT$o2?C;&8FZxC@a*RoFdosu1^{uurRT=Eyg+thA)K
zUiDOVx0l;LDo2DtZ~Y9bY1IH_oS_J0l}`t_X`<uLH^>Kq#86TwE7D6_t25+SuH6iv
z?@_7jaNggJGofOL&BY(}IlYG%^1E<$Y|1RbD{0jvl}@814};1+9I~Sr{ijxg<o|p@
zWxZ|tM37QU^#ygGJhDjB@_Kq-Q~Sy3U>H`!l05r}IqZJRU-#*c<cNs(g>w>}4-%R}
zT}I<k+p=wI<lqw<;D8PS;MIYJ3M9I%{acZjL95fLh-+!jT5(LB9>aL-e-$E7z-)Hi
zzM3o{M1stULa(Ed0cOc7!n5u2!KK?<5X5^2qYRRTmU8b&N=10CwYKAfxy91PXVPlv
zR-JJ%mm&g^34D}!Cu@d+>dmxStgG$-r+J=aAvdh|(Gv+yaUP)U?7ZkqU?7!5ctJ2P
zEdp#FdH_s!_`x`U@X<Zst8NYrxV<nuZ=JkLyWXh%vzG)-y2wT_DQABG+<XJ4$7ssk
ziYM>A9>Y{=1gI|Hyfa`@#e(rq|3HP{Vu)W?g&Cas?E0ce43HGA4k{HUR9%W9_zE_J
z)ySzrDZ<)$Qc~0m=tW%4Rq0<aYz%1^`!st00XilmFWf_y;4^bf^sah87{`dAL}+nt
zD^SLhGj#Z;{WiRM9d^P!3c6*{9L<k3VOg+Dss`FM?ky}>uq^}XVnF`n5?X&@dgCFs
zCxuF<Pm!_Zd(4Pso^l96J9oyJ7*6<i2@eL1-plUbO&7{ha&uTZ11Dw0gVYfiCv7^V
zIY}WEH-!pA0`fjgf}<%2m}1nsuiq2Dtxi&Q`50ltKz#D`JY8KoeSEFypdEee+ES%S
zkfSriF!W+ze$2A0aHjyNN^!!GLKgUGq&ja~0{L>gcv>OE8@=8ky$CcWO&^3SiKKYa
zNC5t%)lfm}FVu^|7wiZe&wu?YX?EIG5dn@-+^9wM1x%^3rM!oB8NSZM_KorE%TR(a
zY%uWX|NM>-_KO0Oyzu%O6!x|D&`Lyj(EYxc;1vQ%4|OW&aMRwTGd+!;Vuzlq(wLBN
zCdBxKi^5ke(dVrDmfa13b&KXW-s;B(yDOW2t3<5tG^4DVH7WgLDn9f-z1~8AA#tBm
zmPv8{D5LNPBQfp165ywKwX&RkY;n2{+lTb-#PaObj=FMiG+Y2eo}je+T0IW`Bqh89
z5V~=E0(o5opClU=Kr<GyU9&|(Fz1`>a_RvJbeDin2g#i+0qo=p_n1@boMpPX&)mm3
ztsRCL%+PU~M^+*iesq?2u-zagQM%ueK*0?RwUb#CT>Pg+F8=6jeIGJ<`Y0QUo#ieh
zVht_XGqqK~(6s&)2Cs)<OZA<vvVTa|34rH#0#_@E!P<-woxLm{85Yp1>(~aPE-&{U
zg|WI9P1ZWIgeoERSVOJ$8iy<5c`F<+`@Dh6VYAa;2qKb&pWP$K($)F==SREl%mLo;
zz)7eW{lWrY{IGB)(~Yf&ix6uKu1lkVn;A4ea{|kLiY$MsB1nI9l7#vtdUu{7fkDQz
z<?M%OP_w2WiR237^`m0~ey=D5h9#Z5cWtVSoj_#VU<~k9NbpCvVU3BNgIGmgA~sQw
zgvt)HPiKAzshzrfQ6iTY;yG0^-&&S*dqB7+Et+_*ZZ5E^!WF;b?QZoY2me9u;?Mex
z%BEKBz65cl4boKuMVF1bsHv``vc48-T7|32qWc<rbgZrTNbe3|Axdkan4Cg^0hBN#
z`4}C7vfUcPhdfFAaLC9#I6H*(wf+n)<flgwMKmCk6#t4#dHs7BleVAZ6~Mof5$7!0
z+15Ze_D_@7pH2{^f7Sj>`sUth+2lH`-QV(;@bVqcq^~cPtk*v#h8KBnqU3wJ&m{lE
zj85uz1}NF~HuwB24-Tk_Mg|xId<vZb)O>CtQc6<?Hnwh|xA@u?sj=PbiP$WrvXl_!
zPH{f-C!b#u(xn_4_l38GcNEnk^(`m1gCBLcEhRnGX@u!_Anu<PL~;~}x|Fu@e|gOK
zcCZlT<OqG;v||j+VbL?|#hXmdLv8_3|K`s>AYzcT4ML3m_GzhpFCW!a24efORn%%C
zKpn)6O<az`*=0Y^tYg@6cfzqQA!uxUa|ChnHDp8-z`rxRm#;_s_i9BdJj4ko2gnt6
z>a2j{b}w@8snBoaV$>nz{)7b~Lb&+};%#qQ1J0HY&HabE8nRKPmgrRsm<>DPm<H$v
zpd0D41q;tAIhLfji<&S^d(1wJGXRHjX^<@bIYy4L(3s32Ud;jECMmd0*0~L4?M<-A
ze|nVHlR?^8)$#>l>4%nO{*MAmD3uUWWo*6!)XH$}*Dm(xrKlho6R1?jok_-tiKu0|
zI;72U+Bdv+>hKFj);6=vVq_9ynQB4_30iUt_Ad##CNp-%^jHx5I5Ppp8~r76315>;
zVp!%qO2?|Aypc8#L-uLGMTK_B{nDo%g01yKIYbS0QoqIuM)<?_Dwgm$0M-th>RlBT
zsyNF+v|ic~)D2vd6i?%FIDNmbup*uk9A$l`6dXDK85pI@{{z#?>%~eJd_AVe=qI3u
zOU)oL5ht{4z$&ps6-h&!MLMWUF@RpazW*%<jw2`+OK+0UD_b`eZTennOyv@pDR;*D
zOm&p9_f9<*p@f#PVD|{VVAtH%AUjLM%w$pok0Fy?sK6BG=a&a}m>S#$03Puuccxzr
zzX#?Wz>~F{k!RW~ApU}FtCvtn=sSW8?}tb#uPecp-19wW0mx$cpJdLMsXs@uU>A2C
zj$7?^JAEe7dec<#w$RMf{t1CLke;!x(#zCre7aG;l46j*^O<daJ(S6kD&g_l;@Z7&
z7k9SR9-wEh92V#z;RLi=`E@-7R3W)XhN`f8z(+1Z8C2+hxHQHI$cbOqfO1mv=lhxC
zMaFO@6-Fj?wkOp<MkM{^yeq+{UqLxweEY<nibQZBqh1ozt1yzmIJFL3ClQoImF0AI
zjI-MwKcb#>6%!MS_|DcSH+%`~o7oh^9lepAdMkzcpEb-XWqA!=8ndWDg5)9aTn@YN
zBkFH}+(w4L`r6asss=Cjw;psp;J>aG?a6)6&#JG~#(UE)*r{jiPS7y1K9HX5`p?pC
zIS_oHF7<U**g%>0B;AtxieIBLDQMAIcu`KO`Ur)-+yZ{2^P|S(zr-y*IumE;bEj;>
z-1KfJSWqJ+v2vbyqjYAl3Y$rh=siiY@1aDLS1eIp9>vNb)&C;0L6uPq<O#!n`=FHw
z@p||MAz=jZ;wqie?Uscv?m?@`kKeAxNQs}Z{*OQSq+4Hdh!1^`V;qM}*s<tare=n|
zC$TaH*oLE;--cO_W+)*<2j9Tl=Z6wA%<6qr9vF;I<&@9N9yz-2G|+9yDUa(xkt61Q
z;9RsYqjJR+I}Am@{hRiu&r_;YKdDpavds_H)lw~Ubm8yDeSRa=OU=imF4WHE6SEsU
z*z(eIvD;K~LsIL!?~^~bZ&0L24Zn{~z*9Awtlu)&{)XRkT!}7*vVspoLYe&QA|^^d
zzUg^i#SBZ(4msGyNeq=^GnMVR{p^++`~=e_J;yiJgP-mm+Ab#?-;0y!eSXS!v(2RW
zw3o~MQ_L<Uztd$Y^z?_Sx&<*DnI>!TcQ*GLAW_zsVeZFoeIl5QVurW*cQ2@?@YpKJ
zxSxu)jXp5Vj%$m6*shFNo$eoJD0aD$<fTgkj1xAO^4`tge=nMAVV*=!$zyTPY2XpI
zz!5`#DRW{yjP;uyOnxziU2%Lo&Wdq+ul?oAkmTPOT~tzVn|54VZvoPP+Q#MWW_0QF
z+iQ>Co<Mp0^e;$pZIvWnzQgOwd+v-+)_59|h}_vujk|`0YL+tH$(BfU-pgU4G<kw{
ziln9ix~cecTL_YMX?JbJ1)Sm;o~-XuHFQaYZ`?udu4WzmU<}>}m;p!Fh)h###+3U_
zG~ilz8n(Avs@6Ac20rP!!}*R$c-yL<VJB;>F0CqS#T|}UI1NNIHSe&^V}MxvdQ8?e
z<8tl*|L^`&cEsFs4afwjF(n}b7;k9uhJ`kV<gfJX7H5bHajwjV<O4m6leyh#;;sh%
z!qeQN#mEM&TLmj2^r!tO#iz~Jo0%4kzhzwFnEXIcb74oK$DDlR!QVQ+-Kz&`w=+^&
zpw>A}*V<tF`C#pDRCnDrf8a5c--aUwYS_IWZ~rBTubt$GLF|pxS6C=h@L^I_U2eM7
zv`3HZ2&W{=5l8~&Erb%{X+R~{aYl+zt$HaW$jo{{;SyCns0aaL-~lc~zs8&)*C4<0
z$CuC_dGOCuAjZK62`Fe_RNRl)k1J#dc+2Eo0IfU^hCn~`zX}3985#D<a)j#fti}bs
z%ivL;XFikhWh5I%uDlonhhL<gJfqGn%y=3KuNr9#7P6}rJS*zu*jUpOP=SZA_={0|
z#1R2xG}tz$CVDGGK9d%4fVD4XC~q_e;iHlWtQl%2Ad>#-3&4Xv)`SvCvmNn!c1)x=
zJIicO#tI*LZyy4)a~g<oFG}(M`kdnpwkn=7p)J6lZ2StK+(bV9Us*^-=f7)LOds@)
zn=&T5VH7{*#!hj&_rSKj%Fi;mC=w!KoYx~d!v{QuqJk~FKcG%?3z(j;lFPic_f-M|
zKlhxG*FQ~pfkDIdi$Np)voPwO2!2a!xA?Tf166@#NN;rA2p|A4{)a>u?qr@?6B|Uj
zS<T)%)9=$=lnitATblkO;OH#eS6l&RlnIwQu@T`5hcO|!k9sDZ9ZSkX^*5wPx%_uy
z{qO%Y?Cse`E}dcUN*ERtW>>y7DPLico;3U~fd0464F^%Aq#~hwxVhM1TciY&zqY=H
zoTu_wUIAj`d{;TISH021_tc2M&A~TkuJj54eUp@~rxdAs2h`E`ia<b=#(cFIQB0o;
ziCtFb1mcyOd?X;vG6r-Kl?=f13oz`f{~$@q*-lsi(3mYL<f>}IUfUg-Fyj>!HLtcu
z^xcJ1eM<TdI<ye+XMeT6cv3v*#yHJLUAKbi^o(!bs$T9q965!aiG&hjYKn5?_&QPU
z{=~q`!P*?BUJFXQphkAp^hWh=RVH1<?^Pv|E*}QB1|mOsiIJpj^7R!y?kpeg=E8}B
z7&stWVe}BQO}lDxhQRNf1$`-25WbofOs2<tx-U|(zSs(|KDDCX;)4K#e~}pykqP<P
zlLLs&g`4bp5*6;n+zG|PYQT2P{sXq>&ft>H7ljgiY%bhk<li1{0u<rx>NF2#Ls&QT
z%2lIFo3I9iy~s!sRnGR>8Q>UVyk7r}e6vEkQK<tN;1rz8B}W2zl++S6iT;dHDX&4h
zxAfy-N`ziWiPf|pxj4IBxPOhl9_3kqtDpJ|>NtQVM75+#1ocAYP&<8YI-MFY$a0U3
zZ6Y4pl_cUJhyR1$kAlp>Cgyp`umzt;1%G>XNiJmGasxyH{QW@ijLNH^FOcW*Ii}{B
zoTMP3oZ+#A&OEnd;MeCP5op)PdzMOmjwkAe)URpEbkmip;eThQAIgi$PSRj%sc`8P
zCVFjW37X7{GgSul`u}0@K{gZWAB<nq=}16<yCs}*5g-Tf{6A;tQio82=Kwx|M6Y-!
z{ubq=Ey?1;!;CYW;Y5C>a$aYK0ZR1AS#)bzKAE9#9_~p`BToA6!tT?3!<X-gO3Xn=
z+|oz4|DOa^rRe#c+zjA<o0Ri%^&6+oifNEc{~4X%Ohg3-ZuO}7i;_=jknK*`W(U_&
zeIjDyyVr@_{00LRWuGA-!E!Kqr=+2r#5W0MIRVnK|IaW(E8l`Z3_w$I*Zok0$#C?9
zwNI3q?-p$tTFLZg${TMw?9Kn&Vae(Vr5tD`f&Fuk6K}us(8OSw0KgBcM{9$Rcm=j;
zU0h%66*U#}5!@07-StV?1M{GH8HU%I26JkWhFSxm!zJ%~OQNR4%zOt-`(k!k1hjfY
zMe`G$GRpqwWJ0Q=>b<7WS<Fl8_hNCV2gFq_QclXIk{g}Qne^AU4;UzfLJ4E7@?lJ{
zh3aIcOvfLYdHZ7$!7a><2eRNiGVWFSdvR$!|7TzvUSkr949&OvmQ1TZyn813e|-wA
zk4<sXX-Y*$W9G|`)Z)_B>0ECIYn%`Mi`wU1#nW*8PnElNKUS0&ROal>gS?yyt3<V&
z<+2eb&L$A3brr<85XXrA&1oH3`Ex$hkd~Dw6RmzB$rg+FmOn$9=UO)Tb8WS{7|#u`
zQa@;BUD)DAd+fD-(Q#6a7Dtz~c*A^R#xlYF|7Ai*j9e4cFlr34x|sr!6jfiP(0sq8
zbNi#7FRe6)R%zl;U2yQla!NgolM$LViQACeQ12-fvtbNS;Q1iHd5cwZ;Fpx=j@&gZ
zXSV_dQBJ#YigK4hdn>}24M<BR7lxZuMN+Mn3we$SjT|k5D|BGNMC}NDZ3dY4z))on
zY7?xMvEX=DK9ntn?SNi8?rKCe^<$s$LqgUO<ssoXlgBiFb^k6I6ycXga6xC<D5FhS
z39~@*IE7;6>$fHTr@0T(v;?W%qI*HBS6egz)CMZsbHNSScUX?q_U!w~nh4<vl-tge
zVV#4&c+m2>eta-)flFuFiw&21tYA;>b5$!%=KpyMSxQQDw|3PeNQ>_CkWWEbKVK`(
zHd9eGh7*>_KSwz^bljhGSLgBq6D4=LNHUodt(GuX6KD-yjoJ~t7BN%|%I`)zRdau#
zX8jz&T!kaLvT-tvVyw1u=Z70(={hHYCH;4wu=_^JG<~mrlT`9vCPU9o)523dg>tR8
z5$N(ic3Qa^Mfu7_&ncm`H!(9X4E}f)XQ-(*@vsEX`^1lA|Kl+z&i~K;grr+6dWr>t
zl4OFS*%)%nizK@0E1&c71w}s#^bYkA1f^Dt>y8lf!1#Uq9vE;?QM;MyGy&>|FHIN)
zMKsCyw?%B@>VgC45DROEIM5FUsbDCnk8I;=F$9I5zkj|zfuB<vy`PYpW5bfY!=GE!
ze#a&PpisH_i>Qi1t{W`}W}jnfooP3=v{h?zPrW2YDU^~cTb`SgS{Yeh?d{CEXtOwF
zdi1(VeMGh8qPv}ywIxx}CPjq@o)%ec%c}e0kn`$wVV+6i++UZbOB}?c()DT<o>+Q9
z!^|yTv4|(`_x+|;vAOBJmuUpgefw}-<*)p~s!y(T<xjMtKXLN#W5>E{mL3`0iIaH%
z0tDz8IjrZanN8QQivK%rXygG8#g}_`ohzxls6Dm5&W&79oE?ZDStt9XQO8!a`~qHl
zY3;_DA4ws_eTuJ8d-}x|jX0gCf=G6ie4dIv+7VT)_qdXKp})U0K^_^abWe2savQad
z0Drkwzub=nst?aqmokrjnz)<A$^5DmWMaJ-_v47BI?wSz8~p>lPiDTHDeo)iXZ028
zo=KQ8l0Q-ANy&_<Ve~F6^1%^!k<$dyle!b6{k;>X!W&XW>9xy$yVZHHLbY9e@dzO)
zETat+$F}@B!0BEl-$JTrIetyE-M=<2#{slSV@LED2{n|;_HdA)n>eB}+C_SHsHq9y
zh|<J^VdF<&4|Q(h&*_It<HU#El15J#s_V4-!{__|`KzygIvDPl6~tS*%NuE!ec_4j
zp8j<GMc*{fK3Rx~PmANKhZA3IJ=wBZFCDUrkt(_q^aI=54u|hoU5NgD^E@GPYA~r7
zt_T{pXhIe<--yq+!-g>a{wKONgn2p5pV|XQ_h_Gu#+{7e>a**u7e&nu=ea%IOac_7
ziUbxH?6fUn%D#O(zZNr#sq^22b_09IDO&e$!Q3H|XcBD12G?F_<2?PF&m#q5Sh2C|
z@A)mMk692Gq=K##2M^sZU;2)s=W3(?Z-`um381e&-oK`5wi7h2p&bxFtCRsfG@p^;
z*_SU+w4~yMKjjPM`StKby4Y{XB53bHU-@CYvir@D!^|5gH!)JPYn7(>1N(d9pNlHL
z&Erwf!`6*jK+@@o$NHawdz{aHud5xO@}}RirhRwx>Nv$<Wi=iDqxJ|t&94>v*Lbqg
zHw)0Lqse1csG`3NuaBMWr9p+5UUwr4zNDUM!Bd4wC?2UH7Blj1b)qz6UfFq#-m9Iy
zCBn$OFZs?kQirNHWaEn4a&^Uzy2qG318BOhLH(P=7YVq2@quWo)wz8V1gGT16vonw
z{1p}>pL99Y^z>indB{&>vSzeJ6G^K5H7?yKtmkf)wQJfZi|oF<r4Ts-cC}i)IJ^>M
z<Q79S;$!}owQ>j}ndepzm*!iZoP^2F`)&$_?df;2hL*QEQVkD${^fHxHOl7nH;2Gs
z4XR`(T+OT7>#hnL=V7exl5T9xUt%n*FX9*WJb1;lb?OQNIW9byG7EGncR>T<(bos#
zvpL$eJ9PZTB6M{yP*6GXBI2$nNpw+z`o896D;szDx1KD5KW|2{&A`=u4-{G|2h5Cm
zvdlD>36NG_L>l<>cO`}X7=ij-a8VXP^AWFRVX#Xf#_CHly{73U1@@4-FV8zUn5ymW
zAN=9i1S`^AZRuQkxxCF-9IEEcDHT%VYcQ!im2Wy*--}+OO#i|#HZW~RlHL|vd-|m>
z&9S&X1r<TFCeVr_EC$w;^mM+Ybzq0SUV*`+ewkh_=LoXA;t6qhb(|}vU|}A;YmnC7
zo$or<IIwM~rM=A?n8d!oA#jdg>!OWTb~($q%kld20C-7B|9z@+h?$ey*#j1FS3`WY
z7oHuTGY<^FyAZHa9EZJDs>8(=)$(uiJV)%CN1|q17!J?I?**(-3BvxyM&IPmP5;a5
z{9nZ={gYnNNI?RWqZ3BTDJA~9!J)na?;M}p)3g2ck40E*ADNZCm*%UE<Vdk~@&*Ij
z8P(bJ@6cUpWwHj<nia|A!}-F2X9~qCtM8hp6c09|@}vZU&ih^}a94U~{{~Bj{$_@Y
zm`Wy%ZM*Kf+ph@URtO0Q$uz}BsTBNLl9hH8QkPdQmOO?|EOTx5NPNgx879j4^Yg<5
z65}x0S<j>gSV;!9dNmNg;&)X)21yhKQp!`0W)+%`+xTgv)}xFftvGgui9)BBYN@ZO
z96qKk-D?a&4?HZ+v-4`u@SpqObN*4%IW6kK<%>^?g>q-Q+QO@b%>_SUf?i-qv_@(U
zkdUJ(6hq>>NdG2N;Mqet{)YUmZsp=mv(q7wSPQd{ea<_6QQhpX?;2(Dwi#+3o5l@R
z7;(~U?$?zwJM1Rg1mDSJr+haxEvBNkm+8jQO2*4g_xsf9(kWDJcZ41xrWLZybhyP`
zDj<gY^gWZz+y(y1HX`S!v;AGSPI6|SmqFUISvFqnd7q<&*N@14)}^gJPr`ojR}MAg
zQ~#}rUz-y|9q?~nJSyV%usKl<D$eq2*)F`3HPVruJsKaFCA`AQ7npfTVOpEcN?_$t
z`yXRv1@x_wxEymK&LocErY$h`#{$DHP{Ob_@FQnb#Ffq$7~v8Y@sk5I;Y9{ef0X?}
zhjY02cs}HpfmzKT@JgJ1l_Ga$eXPFXwu<7h%<tl%3e1$5t()Ydp#KdM;9r)FY&`F&
z331#WZaON;-HbineRb`+^OFtJD3#)DWrn6pEXw!NI5p{JCVi-%KJrf~AHiCCwc8)#
z#x*qUdE#VBF9M>1e{=>ygo&`aaw_ksAyhdxmBVig$r`enxq0c|!3xld1HcLffVaY)
zeS7=1yyJ=whh?6N!!GJpWZ!u*{;8%7=eeiUvEh!_wzs^|vEOh%fmsDxl6n3)7k~cY
z=WP-M_8-j<98m6~53b@;7PqM(Sm4{QzUNd;J*A6HzxkO!xGP$^wnHJYy<N6b7LoxL
zn9^D>2{HL@$d0G5nxgq_a~K!X3AcD5KEj3wtRev<{&<DH%06mi@tmpZ)kfe$bb((V
zBH`amJ}L?uwJ^lFUO73F(R~(a4&&mYlZZ+tD`~VsR}#iyY)%o_gGAZW&Mx301)%dM
z|6uFy_UACO-lFqck~3*2&no?n3{VX@IH^!!ASC}cTEa%;z7lIUPC|6mE-9g|WB2?T
z|5PagFVqpRzcSAJIhy^o!9m{9@M))R#BL2V_2r0p-;?Cq9E7Rmt}W^^b6;|7l()Zq
z=6~b4L~BWr&+^@Mk5?hLDIQ;U3zywdc)|AWeeNA|EoTL*QATl9P9ttAOxU(Aad!V-
z<<mds_2pMT4yxh3k-hD_O5{qUN@NSCx;-(H1ir-Gi6ix)kN2e_;cG|+$E{;L1IEf+
znN%s&&aeMIjNV>ePN`Wx`7>mAFeae~6uy0bCF%_&ejhTfcZP3BkW@UM>b@Twd<`ST
z*M{2V@_aHD#Qc+Xv(c}o-wHQsj4md*+f{|YkNY5czL@^}4MOGdb4)34X359LOA&Mj
z1jT!IlSC>|Y{GU+w`f(K61kVM5ucUyXw3Fv!AS6nA+GhuySkc~u4s1<qP#dY&Ns%<
z(~f}ekBMl-|A@ZF7YN_y&@lsc|9?&D;mk%q@t^q9uoy5#C-*hx4Nt^AedH=%Ac?qN
zPN^3`JGC_I>4Ek9=Wn^T2W<!B*X#aJ<uDi-9}8;FK88V^ds9&7pJ?gW^DPs8yK|yl
zN9h8|o-I+}6S+bm?$7{Dp*a6Z?txL<mdmAy+e=w$t6H~v2{Cib1)QTaKQDdh!>Z4r
zPOZ&mo_qjC3dO@b=QHN+V`C*H(o|c85oy^v)3yBBduy*)&)-aB;r`K9EO4qg;fh+~
z?Q4~I-OaaA^^>B)AXU>REc9sfsQKc<#v58`58^BmuR~h*49iD$MDKo^vHAisi{VVG
zYaq*^cc}8I-CsvGUK-~hqOELcf|F&~kPWol{u~ur5{ZIfW+CT)YTp&%TV}f4#bR~W
zKqa+98*Qw{KFTmjYeT`8-qe?5KJ$}1No=C0k455g>&#Vf&JBb04FuUcpUpvA3Hz}!
zR_L(Xg;BUG>6k_;^UhnVh<$4Ps~{g_M6J{<77B(hoXPbK3+6>{JWZeik1=Ji79G^q
zonIX4Yc+%qt6#qoe#5bEHY9Lb4lNkE&z-4Ytx^o(qd87#<786TKFbU!p)*B=&CTL(
zz|2o5pR6Y?>le;&hZAc}Apeh|vO)93<v3&iR|wBi2|E0x$y4uw6pl;#vB2}<C*J8(
zUsE(s(_0>rfwFsI>!I6KsD*XpMjjIYM~&ezsuae(;aj-v7zVFfD_;;Hr<bH*a<1b$
zUzwU2Nglt2WPGrb#ZkLp$|=Yd)WJ2WZ4@>JZh9`(ITYfcD_RC0iM1`~yQ3CP?fH`P
z7uVol+j~q)f`$UoWCxW8KMxlRGaCM>)ni2@HxY-9of(K#8ICyM+B+Y7(ANu>^<xQ8
z3^fSGh|BL~ZPyT9S-AAem52!LL=g){;R&xzR|deC<j#otk`)Qn68_82gBu9Q@@Cgl
ziD7qlknRx_T9$@bxuF+!sBWL<>+T)5ftOrp7TF3oH#dW7&+0rBxi9)Qh_)AcGWeC4
z$#MLBMoa(4@S}9~qjS`aRx5&5VQ<!jc7PvU=~3e>6+5FN@jp7?q&|8bmg;7G&!jf*
zK>N#$xHMmf+|>W-g=vvzmsNO=AhIZJt}^j*|6RlLRqdEARGspOb?>FT>UxeOX7BHD
z!uSrq(*>d+o$nfhbGlFL*7GgNb4-z-HWW<XtW~l#_#@o{o?mzRh>^!X`_vIs-$kOs
zB&ry2SR!<2>4S*vd5t*ma=;$dCo(FszJ-wn`aoE-BVX_bX+g1s_cUG!@u`~zku%7p
z28v`J710TzD~@72W7Ml!q%c$7yZXFqWD|TRH`efdKdL1QYX4q94IV3Gw_T6!jNl}<
z5iq}5dxHOxk{VN7`jtp`HL;-P4BcIID|;qgQ_a<km)zA}4lF__Gge#qiMDENxlEw{
zIV#)xaiis87BcbrXQkiE$FdaBFM2PUrl$Ib-cTEXPzyYTrvU^D<);t(kH6l(uAsRy
zkz0bZR{}l+F}C&|9|j}5Xo#bOQU!gz5xkjjaD?f?xt-YGVE&=-#XenVyv^avu<<~>
zqN2)JKl%o7#*2ghY=;LOmXSDc<c);d{=Mqo?~WbFGmGB_J->=@$jzFh!??ztT$B{3
zO;VxiQy$u8pSrc(`<~C7e3OD&B4SCE6hl@QGXaha&?TEmCy<#>dZsVTA&oB)f~^o7
z-Ms2Qtw(Eb@6AP<o(5j1>NT@zJL2WcVjQIxgWwp8#GA%Fm%Bd9(DOhX;{GJfxhQV*
z)0EAn9jh#53C)2mM9WMzk)`^?s+H{8+<H^kdgz<R0i5L{>guWthKk?d4e)+*G*{x$
ztS6%Bqw<o^0_pa?q$z?2s(zx(kFk@Tnt_R&emHDsDB(enlu(_lb>1ROQGvuc{H*eM
zE?eK=s&ajQ^d;WlLdgyP>J8|y_x^UAWVUhmp{Dzb>dWiLR(n__y`s-L$EQmVB*w;Y
zK~^tBuf1VPBG+f4j*i~)yzt!IgQtlfEj>P8{qFVy&SM5F6g?mQF<KP%`Z<#PZ^Q*z
zBzdgv*eza{yn^2K7|%D~Eb_n97SzV?EaCl!3fyKqu{Zm^{INb7%wMV_755$bHX<$|
zxXPm=@`tF;ADco6y`7E@fytJpvFrN2=R$kR!Znd_zhH_0%ffgBRSM2C(n`BM4A)E{
zNcVL834|a{2RY@W5N75$&XuMkvPhoBXS}Dh^O~>?jlPeXyy#Wb7q^(JptbF%8oFQq
zoKuAw?pd(h1zuby^q#f)pGXsDD5T3cupZ1pUa)vxH$8jVqZ_l6xw{gKV*EWzK@@Wj
znG|?~ImJg+-(SBs%=+J*LedcN*2}bGv^Yt6b=DG*(1o!Y)n>Pue8}~_U@KSuwf&3G
zmzfx9@NI`VUDRzMa}u}@g{UxbRLmAd+-_uKU);%X8f{ol$Sag5iZ(I}dHpqL9e!iq
zpbm}rkXO8^<aohmuHEo_mJ<qQ-Ckk(r!`{ynFv9=P!4z%+=~SKc`0wM{HGL!kljN&
zBT|=;FiBi#+eoh;OrH5MvPP_Xw?P)M8DTxd%A4fUsv6fzRE|4uL<mC_cW(Pqj`I7=
z)jV(y!v1sX?YZ|j;Q-vT<@Z!daTYFT!w($xSBaOl<~Z`{^kkS&W>|5K-Bg8k_**@Z
z_de`zzsn#l`Jg9`FlBmWuD-9SS(Ri$J%x_Tb2k0q71i}RP2_sau@Zso9OtvuZbz1&
zuY)sR1rfbmSCsigM>*zBnD$;a_o2xcqc_rtmvS-_=CH^Dy&WUnVQvv8iq^Z*%PW`0
zO*~mi-+=F*m`yv%g+=3evG6s<HL9nSd@flVs#mTT6KpD<`|Rcf2AD&xCY59^&*BVy
z*aY8XW@eusIa_P^rxveSej%)`_UCm*8>`5Pys!FGeiR#mzI}!tS+fXB(C84f<Y6sO
zvwgk{JOGxFfBW7f<6OZ9^6pc`P)HFu!8gtDewxOy_-Wsca)zWUqYx&`s5k=u0lGn5
z(|x#Ib8=oExi7h4rC&{^vY~d(ktll(S0V=}Q;r1D_gAVNFYAm^rDQ5IkbFg!up{jJ
z$<Z~`+w1p5(DPhBPhIwZ&TG7fw#M}Ry%fZkM#)fyDCtNa$G$G;!@N-BdU&(DP47_t
zdV01lp(&unAxGS{*KQ%@NvtyZAWAEh!A2qB6WI}o1(P?K_e%urbG#yA>gOVzq9auS
z?=i_-#?Ml^-Y<V&c4*RDso6pOTqN+GzcQYN(3&0oE9Ho7gRRd!+<!K@WUo?RK6UBz
z>z`U%HpnyK#*+;4++_7?p5CBudh)e7L+eB<j^qDAMPwcQkFa=<S$=Qf<)r+cksZ6f
z!4$avE;~jQXDfMXB9u<QMjc4Ua?DPfjG_uQ9`Z}x8FXwWjzA8R5qZS%nv`WNF>ZBJ
zUx@qe_}$9M29{=5Cik#8v5h9EF?M3;xe#-6-D>udvE;%-roI;?5((m=VT~dE$u`r<
zKd-YlC#mri20cF;nEoGcR`&;!eg+98FubIY=#|sTjk8;lU~;2y3!#CKxGzo+opKNg
zH|uGvv8k({M$gF*)?$59sc(|Lb-2m5EL;f%6ZqV34W$zN4h;Q|uJ!I}HbSUX*+BZ}
zfc)sXaFgY?i?mhE>4JA8iabvk0vS|r%*zmKYYT7Pg}Hl%wg2@(gKP+Ur9sL@sLNk5
zleHv2A>U+KuA}I+ptO;<e>{#(KSKH;nr8KVSxa1o5#*x2T!s5tPahIr+H-mfT}bl*
zc_s(r9BJZwiL^2;>1)H;uJ|_bBIhMMrFRf~!w=1FeSSkOWlPLNGJdj**m3AzeijBC
z?Rk=HMqiFm&J;?{RBlpV@#YstNTAOHw%_rn+bPwG7cxWrVx;SO45((`UfwXQ-cK(1
zqZ4^b{gf(@PTZF@-KTvSY9*G1e_SW{L2}gOJ)}g-QdNlTK(;Mpt&p%s`VBc%-Y%?0
z`su0WBa4RfCZuqPQ51R8=hLSD)#gF6><ZaXL7VTcKg++>OEm`E+{i*S*)#QqBSdu$
zT>_TCn_EB$e-PZH!C#>`Razz5oll0q%Dg0m^dcm=nxPXWE11ojwKS)(+yIi=CW=#%
zuqnQiORYWEE?Qna<x(jp>21t!Iwobwe4ki#;GPm-;bN18yMeYXK`7L%kKLLoCHe_h
zqN>Uc4lqupDhJbLjZx5^(jRlp6^D>`C|vLk8zr4hM6ok{BEhSjOChnjzP!)heJa#l
z3zhDf!}~&gIW}BIcMn+}zo(lrL~Gn9Ikz}D9e#<3wCLZxC-eb-4NUpZ^bYV|;5#8-
ztcNewGcWdpo}@Av-I9mT-4+VsG^*oVtmC9zf-%~Y)n)HhXHBussgm_Ih2FRK8h<|;
zEcP5vCAx3)=+#+^@*dGPpp-3olMPps65Z{F&Db6D>d()_Z||dnP|RwAp;=9S^-f-a
zksBd1w>Dc$XOwv<hyPaM5>l%x+%1!IET#~r@($0}tn`lJcm3@TPFCCbq_wkmcneG+
za(JDPUIqi+HGQs>ctsKy>k+{M4zlhUxY3D#Kwp3Y2sf~<^?#)xldlF1&lkSwE~%2h
zhe?>xFLaTPlwVmL)W{WB>BUd>U8vnde3cL_=%U1&sMg$M@A8FcMZ-uljr1Qzc&?wO
zIX;`uv}Zjsk5^x&d)%2Zi2&0qa=}FetD2uoTUog|UE{`{4F4LjVV|;v+1dU*r3Gi<
zevz5zlzaFWa~aeyfOJKwjN-8z%oHCIxRNO4EM!RM_MBvo^&och<J|VLms3<e8T_vN
zZq+s}Unf@Xs-M0I(V+H#6l%Q%Tk$JsCh)_UTi%r#2QB!_V}kc21`Vfl5jz^3zU_Da
z8nNm38Ka7;wW8n)kUl0s0^O%R%aaBDRYv$-D9j8Nk90)WEm3~`lAdBw`?+!);}>u1
zE$M+6(dxg0UVL9=?;6PWz5gV%xATH8lI`Sf>8al1{VRASwdHi3(hAkEIrs`@%B@fX
zXv?J=1jp@ECn7lH?mo@3*BPwBwg{0Q&M?>v><B&-zSq|Ns9++*#Leof+r*+v`Aeu1
zu{qcj*64inbaLTktzMiQqH0<pbqGJO@@MpA^agnX_TvR(hGphCZJ{ZuT*2kXjM`x<
z=AJzXr8Fj>Iz>g$qJH^dLu84SLgpmz?6j#{SKQ)L(phr!5Xw^DUtl9?@WCi23wM%p
z%TgjUcDBeX?`D92Q_Dl^1=5$bP((DVJ(cYFgSd)w0p7dV+uk48k_<(ae^q<>zUc70
z(9H1sekC~pnn}5(fzw6WN@;4}{isu-T+bhu-2I29#9u<_wlB7CWiltGIjugsnz7_Y
z=t$mn*hQvtdc#yw56T@fcqXqvb24d!1IFw8{3Z*)<-RQD{w^-L_Ws`>z7yNMmN*tS
zlQ=ns`uYs=ui1l*0@)vjsXobuYAy?{-4}M#1!u*SJM6|hjRmY#B7(iP(&(oYin4LC
z_<&o>Bv{=`IqFFX(D`b1@l?9L9;C181yyRUT8&A;FLsQI4lkc3Dn}Q-HTzuJ%=KY|
zOelkHmZbXBD%&yG9-2;r>G-jh2yCzw9(xt|h-qD_>+N;AF#kY(Njvh()!rlFw!~2R
zL>gu}(oBv{Ccx}{JA%iLa$MlRyl*+4|8VLJqWg;ZDLC2fIy+-Ypj9MkHCb;hdv#6!
zS8Lh}d)l42Y9H;^a*@zP#B@t#`+HAS(S3z{nH~?x1t!P@aTCGSUBjsE=Q&6M$A$S`
zmAvxi^xn^b8?7U1adJu)7E^_o^?yVPvsLBRtyt7~at&^{DAd090oul)MASA;xM{O8
zCmko9MUJ%Ornhz8pwXcx#^or_abkAxZbzR5>12|!G^;LhZcpuH_s_|7)Uhl|aloN4
zJ(U}RkDy+(8@^C|O5vftkk)TJTeoUfZK^fyt2AW%*ue3XffM2=?z_o{@^b0|Ga<s;
zj55AwI%jm~eNDtLjlo8uf98(aE%~qgg6U-2R;07hJ818H6j=%4v{2(s<;$5W%IadR
zJnHRW>a1Fd!&COTznQ)vX;6A&uaC;0Bfh|ky=If+$3OvBOe*8#oi2VaX+fRJ$eo+N
zfIj#7`@<_2!3;LX48g(Yc&yb~!5Veim8T><+?OYLgal`+C}>TkgC!!%4QIk!c-?4p
zLiQh<RA1SkzL4DP2VDv_Uz()aL50PC@MS7dEOBy%$7q~p%^puURX?(flY<@$W>mbG
z{@zFO*X8$2bLG0lD{JX@pwhdgJ9Om^Vmt@DK;phciPLmAe~{?mPK8$?Pw?3#kT#0d
zlElM@+AQ`@=Z=PaZX8aW1fE2y8g|k6)_o^msf=3MeXqS({)I0Kq~GR;^~Wh_AxaL{
z%<<0glMLYv-tP@mnj+9`z|a$7^7DChG7l-RQi>1}3Swx!s{e>WC!~bMmwfK`b8cjP
z$W6(E=lg@2*WQ<C_w(-Td7oEsWNtA<-9z@!C{a$*&N{z7PG@$QZ0z-V<7Tc-7xDMn
zWGb`O*7B1G<)<%So#tNWcKD^sc)o?7Hn*N8>`3@~;_43E20EYM{c@kbbo*AcY6Jbu
zZQwpX_YlK1h|)}|6gGlr;Yh1cVdIv7%(;UFOx84~0>jG<1#4sKBQ@Ojk_`*VrB_mP
zmi^(Ms(eJ259!}cQKiSM!Pa1#4=*66-|snsd0iumDXno*e~lskW4_yN^<Kh#g`!M~
zN0HyBgrO2z?JnWxUvewHzIkkOtySy!^OK9sWIEVK+SEz&fSN091Zp_iRqAg(e@a?A
zMdf&575DzxHK&C`P_2+i_gw!Lq_Quw;aR<tjF{14I-!^wW?F<TMcv(xlT(qRWD%>0
zuJCE$5xzLx^aK0<)ph0ZP<`*;zLc$0_MIeKvJ)y5Ls7`SX3H+Jo4JHgmh6?SGDx=U
zyO|=At;Wt^B4i!=7-Poojy~T%e_r!?nVEa%p7WgZoaa32`^@@JzBH?P{DA&5SK&s~
zU(6n`%Moi)?=Ir|_q|8_77p#(F%(@<yu3P_Q<2nDCT$>kU$nDW@F=%^jylJ87aEQ6
z0J8+|q?5I31p}zJym^>h^!jh`MC^wd^@d)Ixv~+YshZR)6D}o%l_LiAOSundV05SR
z=rn1!d>ifURIr00{sO5=m)rFBg?t4gHG$DGmDDr?%M_1w`aFt?UVf@-(L=kx>(Ez_
zX{*m~-Oh~$K3K8Ux30@cN)lInVp?!WHm1BBPehQm2JPQt9GLH87o%#%?1{a`^fjd9
z)0ZPxAzqq7*GMq4oN=>Vv480`LGtynI)iNV73wR$WlEaZaL*~^(B>JQKAym@)Q-3(
zjB=9Qs9(osp&VwW{@t5;N%>F2DB50PDfZ#O+~~Pc&pSc`lm@hc!kM-MTiv8>{Ay@c
zYXs-)ZH$wB7>1ug%jw>Mu(-gUNxwN=65@PJFieSLLe<8m`K6Dmfk_qiy`Ay%fe8ba
zB1!lsCHk&_-S4gf*j>Z4j5T0PT9ZO08`&FS6B*0+`|{z-EZ?~*z`Ph}!#_GWHKzQ=
z=d(Za;@doPOruyS<?Dc_LH$*s90=;hI8NJ+EqR#QyLFVl`gmxpnRYmPbO+;IK|j`%
z(&fJgblrR*I@1Jjv=q;GsZoGd&@bina~N7S5`)0OM)P_MQL@{C9*E1Pw7TIyS%$yN
zW|{LBH^JG$EMg9s@Aad&dF@r6%J?xNvl2R!Ld@ZRpMH!r{ggISwX%0^4vGxZ74vM4
z<Kw%YY2Ut8!*;BT$+aNd!cfF%+?CR}i=ES6?M&&yT0<|y1S@Zv8dbx%Q-<QVly_$i
zB89qvWz>dApt!XGp!dhez=>U0HtIk-$!gm}1`*)b|2_0k<mv^xTNp!{nbT|8(_<T*
z2Qq4>!1VO~DV9c;k2}oH74NN$LvmN*mg|_lMIKLqLCZ1f*;rqrK)bX^YR0}olh)i)
zpUDrTM$m@7@J}aUyssw0m)Xu(r!**eZ;<7}%_GX_VnFa(R_+wzg$>l4HO_UA)Gt<Y
zo46d+{9TE+<&Re5@8|1Q&7O-1R^Y%>c+<WssHLt+V#(;1Gb{7I$G|~78(lXg?|&!K
zLWkbq^_D+Hs86V@T#h~_5Tk3Z9{)!ERM`qToo&Vdo{ikw-8b-J8{uHIzN6zt?=o=d
z%KIyC(t&XLuQx-pc(1|_8eoTy>@RLI$hFgq25ue9s>N@yVPui-@7mbRcbI_Fzr)a)
zbzMNHJ@R30_EoS^H})2Zb2v&(?VwrY$clEZ&n186g}3h~LkU?_@(gH$_l{~q7XyoN
z2NUt<)QYqZq>Nv9Uy+2M1TDZk8qq}g9UN64@ciIXA7Q$AU4uPRL+FCTT;0zg)=uNd
z^GL%8`S-zBGMqxGpY+ypYHCh(@w}>)1J6Rn?#jSqB`k;rFJgjFEeDmI2l5Or;~W^p
z`#v7e=CkQ{Qb4E6MV%|17Za4(KWPT9t>@~+<%?{KPRD4gu6%shH0l~z`Lm@l>ie-s
zAkfZo;Fr6VRsFb2(tp9!l+vys=!y7dKARSOAGgWT*i5VRt}BEv(4j&SV_mTHnP16f
zalW}MhdIAHQ_E44)J(vS+M$~z%18<ng~2M_0{&JTlXb|em?*C||Hk7t!|y97_2Z;Z
zC^-+%I#l(_Chw!2BVb;zTMi>Iv9h<R^RDYhn;YRK1KY;Ey2-3reLc;)k*}eNi2K9<
zlG>@*;-%oFD^ZyWd3|b!S`5E^85S&8)X#pMVhE4D*_wR&W!82tkFCO5$fFY1Tqku<
zExrxEj(PUUDeSh+vQCMQO54VP5bU#y*UrO1n7sPio_osoxJ~+ENbJ=Z05Mob*@OM_
zryx(*@4?DhLoUvpx9l|qlBKB=>-qmt5O*ynZ~lgeCfTNlI}yDDo#i!4u^tVTQ0}j+
zg7E57ySq0UFM5R2M#tCn{xoU9+{ZAy6KM9~borUumHkHE+hH_;z2>Y8m`I4A7^7l)
zWAJ{{>VkCM2oU`0;%J~$X-NAymfj>yZR}k8+vG>@k7j=^D|S;b6wZ!a1Aa(&Fu)VF
z#ww=0@5{x$O6^D~<=)k+G!|+PMo!!ef1uQrd?&p9eV<~w$8*Pfzq^r^498zSd>i}O
z@@K>vAP#7ctAkYo3kO>8lObmx@_*kFNWilqbB?0{)nj8-<t;?SlAtHc6M;)@4598m
z-|3OhIIjN|nP4^hstWk%{7LP4Z*03QCGUFlV&2udv#h{Qugarz$*f%mrc(Cjagd$e
z`twE`C0OK9S0S~4oBzlwjWMIk8fFdB+YL{Dj(nsGFF)OIckp+7vkjG@vyK&Wf;a(L
zcTRwB3&20WI`(Rg=XqLk=nEr<phpM$J3PotHGXitN&dAta;vbY?*9ln2~c;sxKB)*
zp0grV->R=rU_;Kz90{JQq&dZw6wxyqMXP*cndQ<o76<qGP?8`+tTq!;`!l3%vI|rg
z#rd~HmC?QzzI~mIkXBtZo1zBzQ0BxTcL1;|Mh@K)?38~U(#IOhE16bAwWsNO7ecK2
zc0P*xYG-jA<*9{R!O~A^YPAA`{V;VCgOTMr;q5~GiqRgHXHN44AYKQ2eE`tTT=&6F
zy${oRw0!AiFpsb1^b?t}nMPJ|et#dU`4mw%k)>1QJ$v9OI)m?rER5s7Tmry^my(0^
zk@Lc2vCz@^U^;V32X>6pB@njl)Ld*tL*Wxgip(#QxQ+?QDINs;Nu_!C5q^H4j=9}S
z{#N1U)KfMCo>7%5M4;EEepVoLEX8Mclt>g$&1N@vrEFH5m-V_33z}2C^SC$3R&MT}
z;NGc1+lsce)o~2R1OxU%Ph9#f`^&fxO9zha<f&z7<@oy!sq@wbG`HyfSvzlXVf5D+
z?>;;4|GxN(GHKf@rs2jKbvq>=mIij}n#se#Hi0=Ww#AMYL0@9&Dk{?9feh2K;iN{B
zPm{^Q@be4rRlXZZ<Ap|xG^B)mFj@NhyoV~`A6$B}%Yl4S@!Dg?8rJf|`_+&mzHff2
zxyrul{i`tJWsU}KJq(dzw_B3F_8ZC0NvHD9q22l{N`oojAGf258uTeI1(sPE9)tIu
zYON})qU*frqeRk-YBvRi%)p82<~nfc=7FUeOZV6G!LMJ5qw8bxTt(K5r)8cGw$lNx
z8Rc#s$>g-0TZHj1=FturJR30k3ODO`k!C+ba2R;_b4crLkeHiD)#IKN>xP4yp*}f1
z%*vh`_9NRP%3fbS@Yq2TBp7)c(=BQ;S$PGE67{shMH*%%72%vN{fFwEJCv6?ry9Mt
zxTI{at>gD+X5y`nONq-i;hKon<&SiLNZYIV3qUN7x2~9xjLl^K2cBcb1D6+aIW-$%
z_vW<r$73Up>E6{GD_e(k+}Q1;lB27zYLx{ySGs0F+m85dv?6BGqK0IEDWFJy(cn9s
z3jEo&8d9c_X{(L0lbOi4{qlGZ9~>(`dw-Gpha#9Dpz+P@KnY>qdYVF`3Rwpz^P0q0
zKA#a2C<@wIU2Y30UIGTe?cYvnCgx_}kM}Wl!>ypC9yw8AChrsRg8+%rmk#--CrupN
zx-(GPr6LL`Km8fAj`Z+fB2oNy!FXTNppBsxB3WH#HLmF8K~V3stI=(_$8CVOn?<vc
zI0U;6GKu?B*i}cqG+_8XHc?(^xBll&gH(R-nwn&1Wt)Q<Urb?>{OxzQm@5AqaJkV2
zV&|NZw!4Ptge?BUyZyf$nWUQCC_7mdSVY>>ExN7MH~Fi#;{64s%Ai~V^9Kc5?F0DC
zIczS24TxZ|LQ{8cwB2c%RYaF@VLsEEs<m!I`n-C>d}o%45+K9360ZHm<I))V>5%AX
z`UYiv<u5`5G7(95zpLlMM?efVSU3DZFl?1I?;xjl%T=P&47jaxi9*dg1L`0-7pW2G
zpjoi=ZxdYP8vhnKKj`jWFgc7_s`jV95w6~eXKOzdPBl*ZI<@YYVG-&j^(;dnsqflh
z=!++S9fpqv#)M`q6Z@$Hsx4aag>S62<~IX+t0=_z!_<X%Z)2`v+}=_D6;7vX7{46-
zy^PEM(m9+^HN}C51fIz2D;a$n+!8Ca4x5`DcMT6Or*N<x$ZU#6YGT|UE&qMnvu`?|
zujrvTHmLG~&F(g433<w1@pIhw)sQ0}`mwt}J@sz%*_tF6j~u^V!feC=+kMeZip__Z
z&y+oDzx$Nao1XjiKhP<ER!3kvFd406I7;Fq#kjF2M+XP>j|uO#<#HP6?`&qRH6y6U
z&d%`!hwo6|k(`i$pt?HGZ-6ChpeIi0!s#N4ZfbF=p~$juZ8YuI#R<KkL1d0qm((qQ
z`HdvHQ10iCQ=ug<$iXC@mvq_Dpwl*y9xT$!D%LR+_iR=y%RRNl&Q>2qO8$!1&rSp#
zi=fl>B(kuyw@b~cZK!;A;?$!vrnB;+4^FNrF`alfN96)o<7frHrW<yAb!Njp`^=Q7
z#h_7Gm2`qQR!frm4S;Uv+N94Mw*+Z0Y;m#hoinei=`PGL7dl_xH^*mr2K@7r^Pc#p
zYm-o#%c{FKkJLM%MrZRFm(Q?9_+BqOPKTLqau`u*S~1Q-SzCSj|8~nj96d*Wg(U|t
zfIW5mMwUY;wYeF#h)v_y{#I&Z#u4%AH^ye}qXGJHb&anks9BSV!JJgnuQ(|E!OH9C
ze=b_~6C&vTF4OGa?JjKbU(!cXPt0dc^ibrZSuU>SrtYpWKe1!TrVL7a^piX!@V$tW
zQK7uJM)m&mT*nok+i3%5G>^b4P+#pp86@CI36<1QG9Zr;>X2;N0$_QsO;~a26)B!M
ziZe4iPCV4)2Z?$Ko^s>^Q43Iqg|*O78S}FzZ~_XK{`KfJ?%wNbJTI~m14K`nWqv8<
z4E}0#Yh%HYFOvLww~l%8en)-_Nu4~2Q~vwlWluI8PrimLT{#*5lTSuGCr*fyOC`)F
z-t?23hUre4Jh{i6`XnrMa!*|(nbLm``hTDQmv@yy)Q!6SY_LmN)GN^uvrFd=9TOIg
zO>v2CS5o24HyIcQDLk|pB)inWlfs-RT><cksPBwq(!DTWC5m&Z^>uW*tK_=OV%coz
zo_2ED1%5kkCdIvq0X>1)8e#hmNNdck2+ny$xvm&9+mHpHZl$Y`vm`!g$fWK+nfWR=
zaMBIC^7n5e>p>;k*Jb3bcOISvsiL{C!({;)7<DV%IPdti=*`KS?|oN+wTYUg1h1#5
zqQ^;@qF!a-IG{Gm669bS(VH&@1_rzw6YK<5BR~&t*f&YrC$|!|jIURjT+TfLD~$uZ
z5XAjyxh~_#v!5};#)i->PS6=Xp9|>drz+{?p3wBYqH*qp55?@I<M6}fV%#^*?kmC&
zql71v*BO52SF~;eKRhTdNL$iu)=bp6<}-#j+`nXf-P9dS`#(HVw@j_AI*I$FDsfka
z^m`O_aVAr~nDT0vJ~nN@;c&+)>en3h*Cx_*l-0;n!=rvOU6YT?Y}-Qf*EW^yNZVOs
zrVVxhBM&_yW+|iD_PP7V$y4ZcbTZ*?jzBf_^@Obk=0h~qeW?o#0vU1S%ZWTEJW%^9
zPR=`pPxIHiDRzpOn-0Ax$z;SoRPdt{mYPp&*(Nv3eddJL@=BM%JSgjDf0A{=R;FY{
z<D)Ll7_jnU!!3gC=Jd#_P_(pTLNr?*ciZQaHprgr5}@7Sog^R}jRBO!+%zsY9$7I&
za?Zcx*;Q3gKbpD}L(VdA%enGI6cS(!!!NWX1u%i71<T;%N?NtSI{V(pt8++O4(Iy-
z{T{YMZJ~QB9F!pShj~@;<cd60*AKE13z>Xu9XR1UNQt0QE4r5*=pI1$^sv-GoX8A>
zgDE+ro%02J<k&GhG5aLGUi*Mis4r1Yh7J}y=~mpf_EVd+jS|y<Ag<rV5Xd7j!}*+?
zvf?K4AItUUX@qfLHqa%0{kXID`;yGaoy|^mw+9taGT&*)btR9uk-jfv*^zo4Fzco&
zM4WJm=~WN_2JUd_!pq2AfaOPW_08O!RQLnm3FoZ6bEjgskcOaP>W>7=9KY({t=C75
z?_eL3*Nrov6lzCz7=d@>`!1;Xk^nCwE<bqrk*G9`Bg+lcoex(=DRn{dWTd>Q2cq_A
zATMJiFvk&<6s}Y)R1RfSyxM%%&GuV`+%5!tpKQ4!{b8SHBg~&o!ohBJi^f-aQx-WI
zm9YF6Q-kbB$|Fx<lrU#8=TL}-(2Ep=6jDDF;0spa7`hP^rwukoZjn<Zq4tMr{iaIO
z0Ozr;9)qR|>Pu2&Wy%Jz=D$AvDTCra-X4Z^Kz&#~)XfqYTH9i_Tv9YYx+{&=AhRuk
z<nBK9%RLb?ZW<@TEWLq#lgC~j<Bf5ic%rjEej!-#b8U|bElO`57&!CNWIa$(;){Af
z8MTEW@AXiPAIXf!6r^4CzJA0!k2OH)%lBFJGgC10XXfSETa@FXJlI&I0xFhPXP9%z
z8{?1EqG+L%<v#>rm_QzOBjwwJP+LKe{UZk7E1#=B5#=yC$mB?N-9i_5;)9ZvB~2s9
zYmQVB^sZ=z*(6ZYRp&~*Q$2sWX8zH`{H5xx0YPZ#pGofdTlUyb{)s;Z$t#81@gy$h
z%pSpBGjCYsU9BOTdNx}Bj@l(RjUA@VZ)?G<_NAZp%Ohl+yS3;vk<C5(?hQ_k8bd{#
zWX4ZCLtf7%o@wYUs5Y--5K0e&b=C6eZq7CYMnA2#%a=S42uT|~51vJwfwX|LQgeqm
zD(!ns4ANri;H<Q!6u4AVZlAHQ8h2?IDG<FCMCvP9UotG+aKxunmGl+DBZLjd>5PGn
zL;~CsUA$WBL)FUKm}im|&b%Bzd~gA~DBbr&a2a|)y*zb>l{$+`wzv+VKeaVe+ffPl
zcTbtsK_h;&wR*5QYBHiVb582u!CseZ72Tgm*h&L?%=*@c4evXm7}nt1KaaF!UWEFO
z`bbEqPFuO=z%Z}q=GXLz%#Qg~^+ouuob~p6MtEn~9w$CJOnuI~)@|hr+$p>uEcDYC
z;#~^Z&p(I9BI_LY4b?ZQ-W&l%B?QI4xF6OC&;q7Kt#UvF?j}SZVY5y`w~$pXGjjBx
z`n-vfwuXSp^ID5P_ULSzoyoPOZqCLnC;RF1Uv3*QCUGG%;r*tk;oK9kX{K^Mw<r6+
zYMB)fQx8sqrJNY#ga28sUOV6zp6PZm#x%g;SmFeFdP1><8bAnV{49|XGAf_O`AbMl
zK<)Sa@d0Zd{^-O<jY47V3F!xU*PR{FUJ=G6Hc>fccCsa=ct_+id}KRDYM>)hE6u&&
z`0~q^N!{6bd%isN0U)AQdO1o`ch>tPgbrG+Nqk+%j1Jb+RIE;#DO<za2!OfHtcLZr
zvP6mi1Sr&Zm#Ab&MwSm7e8j$5^|wykmv!<oq#kmw<%sa`b7TrQzh{qKGK6;qYOKF#
znK^}vDhXG&zr+*RuGm6iG@5J8>_HY-AjZZX3zXxEGR|)d=?WO!Hrm!Y_L&oFT1^&s
z#MIyTKh<F}f)^r&w;-AuShhj0r^!u%X%zIqHcGZWx%=VI4sSDeHHobb83(k#ti7s1
z<>T&4%wy6jIUUuKZz;f%UMIg1%80X=z`JrCDf6F#`^laO4oGWvbs>6}s%gE&-YbX>
zqc7q8g|f~!{&bkr^<BK<U%u9=oc<3`in$|%%jvXO4gh#YkF#+^P^zg703^RJ59WX2
zSCU;|`IkVT^ID+6ksdDLinfD(4RTuptZx3jzq$K}X!JWTg*lS`{x#-ctwggav#G=%
zE}zB}mkHTxctN_%46b!tk*7pPB8*Vejg45gAfUOonD(g|$x?xb>tq3D3YU1}T67DY
zieBlx45u^C-U|Vw*Gr9UD3WMpguU|cOc_qDc7ZHL&kzs3;$ZKF-?inuDwpx9w%Ryg
z<n~CXko6cNUSlqE``K=_(a85?%ugVrb2|p^cX?KL#A!C83$m!;*A4Vn*kovoIwfy=
z_~}$&)6rYrP4g+u-IhNTS9%E)Wpps+aJKO?=H~Nn!@mMRuTmFTEq9}SP}&Y+Od8c?
z!230iDZ*20Z!FwEmPSA$TAs`87a{MNn6fAjUHa1Up{MSf+EQ`d&*HVMi|gyH`8wIw
zQv;1WczS#O%`>RQN}uoiuTnAjf>53hl`GBRsE|3q#a_h4f`H@^77A~HKZ>}8B;0#g
zk097A0O651Sz=!-4L-@)2KHU)Zplf{fu*J+XY<l?q+gw_j5JXX6J1!%3>sd~P_Sx3
z4-njHEd?fdf<!zZ0=1quKcxUN8BW`#$R&tCmq`}q4}b!7Z-JDpk=J9RY>6{3pYX8j
z6@jxB3$8non{>;OBj>C<e`K){JOwx;)bM3Q6RVJhx{zK)_&uTCdaf?s@<y#7w3J)e
zt*H86?fHS<ra#re)fV%qlf*M%Awi?{vYUnviP!-?tV*Y<4uL<mfW|t9FaP@GZt^DP
z#`|9bFVS03ij%#iQQ`_*;`z~DCYg%?<ur;+_$Is2ceCCK2ARpgKCxDE<Gm$gczo?I
z8RV~r>%AY#`~Z1v`B9vTd44}1;J`NKb?5NsO^}UHbbVxl<Z?Du&LEOm(t{D%?XNX!
zUSQaixxc6|b56ld&1p;x%0fqKg52#G(fM?P#cgl@4>y#`jeYpe9Rh6fJkFQqGD1H2
zVcq#iR_E^HQ$VXd!+a$xPK7f$Rd3_E<<{|&x5xcNDvT{1>=k+MAk#yw6l1av7cggN
zeHF=LY9K21QnvT-HpVKTYf^1&sejn8nM1b+&w#!$8CPdr9A+8lCE)Ae-MXUo+leUr
zxpqtXs`zS9Kw^D=<U<QWu7%V>^Qt<PmZ;e6%J0BoczqXV0aR=K1rG+?*+WL~X0KAa
zbe#M%(z+wTSo$+`8}EHbGz(_2tW7tRwZ1>mSg=h=mS%u@M&%i9yzfR+*o04<<Ew80
zPrS>fB8(xp2QzGeXG=1V$NY#%o(^km{zO*pI|(P0fDyR+s=sGe=2x$~Ms2m5jUWJB
zJtecOcOef(O?~plQqDGs<ob$dFHNXDxu!o!QI{iFo;A$ZPjGWZ@15OnRcy>Un!m?9
zmrW5~(4|;sTdXP)oZMe4`P(+|>Yn3(mMI1H-G0$$4LG2@phHrWG_C9R(e5KR{T!@w
zCvU;DCGc;(5y>g3C>(VuL~#NT_&(6aI{qg8+=kDUnKu*jmKZnGET2tTHvCx2p5C6)
zEv<jsnj<AOZ<cRAx6WJQGkXcsk9BzTVm_p@TL#%7ogjAsH<Z-4if38QX7-Qp(9K3(
zfW-e1LtaDa;d~T09hoJB5F8Sbt<fgOZLhxtN^d$~d@(x#U7S5(yb_XTX{3AoRP78$
znY-8$UCWZ=dl*mv*dNQQ+m%P{VvCNx9}{gqx|e2r&Pw@h0>JlIsQ9V!C@&^IkrG)J
zea9LcN}cbh0DbdRYo}X{t>k&oE11@-+Gr$MZE-C5r#(^*&<4_I(v<Peo8K`Kgf{-H
ziyV}DtEP)X$&E&OMl?fuFsA&mbysXTHr+9?NFtIO^8j<%=xd03Scj{}JNiaub4oOI
zIOTW?5aZE6Ez>g>Ms=X}+4%HW+w0xX@Inx<imr^VoyHS2r}%H4QE_jmcBw(V$T9FL
zTjT=I0dK*w2b_RkGpDbnT)Eg5SbpuT7#c^z?{oEzz?IT_RfrEg)&kyVJ?s)aULa3%
zTaPiKPnS^@F$<5fI?V&&Y-414$l^-mk<7gK`{pXK4xK1Q-1}Z}w3Wpd+d)yI_z$l&
z^6wt{N>Q*!WKs0``LAC~XrgfW({*^^^F5`pi%1=RFW0d~rB|k%I+$lt?J}6wH8gbi
zxPDdDB7cnK>dd_o(Ovqqk6^5V+|;DIaEa7ynm|5q%)o}e$p6-SijM{eFQ3Z|c=*rr
zniLOSXwp0#D`!S|V5KzR45taL1BzkK!m`TNpN!rslkJ~$FZY|3@n|U=$mtK4Y#|*9
zS(9@_y*A50@rOG6?PO%MX=`-vF=RDgyJl$wDX_8|a_Yc2FnssQqT1PUO?8--M7+&<
z+Jrx4F!bRRY+?r&2^c+`0$c~{G!+g4_m7T8-qgGStu=wpV=~wT{K<E%XJQabtyc9g
z(xhO8DqG{L^aCr}YfRRsT5~3kc>vCgL?OFh_UHnCqOEBGG0|cQR5GWLQ<2%aU@0Ii
z=xTFk!x{AsAhRQ}DN6CyH!RD;#C$K5+`1zo?)*g41`O^VYMz3h?;CURpVkkBHh9R*
zd}$XLDFRO(n04Mcjx=%k$j9Rw`0DHzD15B;O-)TZ;5a=VOK3MiY~;e7wjLsDEUbb~
z%O%BxBJ@Xo#IK0Q%8iwR5g`cTWgWOP=I|j3KY6`eYZ|2wW_2F4GR@UuR7pwyUa9OV
z-{3Tu4ctGrBIjI#FH~GlR*OnC7>tS#_)}4`cc5io!#%cte`5Fv0Zi~oP0c&g2p>4|
z8JNsU)%%TpApTqv^IFYOK~kb7D2*VQ^<%trV6VI{1(9s<u3_LB5h=vH$TdKCP%oP?
zi5W>Qjwt7XLEiY`Q=IP|(i%armd-aOw}AFPb~r|pm4qb$d^AB3K3k}h-8rq>0-kj6
zn#VOXS2H_Ruk{w{^49y%D?9}gvA(XxgaCC3^&p2tkAcC-fxg^q-9wwOoJE1R3jUJ)
z%1_B~hT!W?=Z48ym%3C;2xt^->*`$}xH#g?0%r!*^^LwstYEokMLQ|8j0h+heQ1)p
z4^f-dCO+(1h+ejVPoj?Ld0+L9P_E@?i%_+Ua28lx4QItX!dyb>O&eV1G3LJ`1|gV4
zsaV}3BM8UtHX95sUIrC}pa&4)pixf8Ml3y?X5H^Hj|G3Gjg??qpqa~)qx9e4@_e_Q
zxAyDZtY#BzBpX&g5A8t!8(Lz-iq?q9N?Bw;lU(fOd|$-#9}R5$;^k!k&ocD!H`kA?
zv)vCM20^KsukpsCFk0<nB{v<J8Jyy>y8M{(u~&jkjX!IZxAgut;i>Ni`e+TkrJbOP
zeQ9FraWWL5ZYFK%dSA;*A+rrG#JqQ~XTDb@xHv5uD&*ltfNW{?KE7#Z>CfDF`3)wY
zfjz4`>z(c#85!8I(Z>QCMI{TNxD=BQ@Jv(ojg(s92Gg%WvDW$X?zIi`#Dklo`wFYx
z;fxY)VfSQ`etW*PBvHICzLD>D6JJjUU2$6gDck@);IZK?>>GRhMCL~ofuhT}=1~<u
zFvFAEV7Uvp=QpotB?jEDz*08tME+R(C~%Po3!=dG3=k84&|hC*wW#2{(--11*k$#r
zXzSnP!ZV4dGon32XpK;EMkQG5!8Zy9Z`%_h<Nt8{fq7>>?GwLi`1mKb(Hc=+I{7^N
zL?OQeD&${8(L5Pk5|yLa61CYRT)|5{JdmQS*a#c6F6)3aW?}Ib?&8tv5D1FlXozj;
z@jjV3Ed?GWM0*=e<XgZq@O<#-T?G`q?E)*KFm-R)u+jI!bp3V{tvt#B$KZg!4Ficm
z?rH5|3y1usBlWV&QPGx9G6@%S33TVU4zRoDFmxzvhY_Z2`1r!jx_SSdyKcZ1_rFOh
z0c)2F6ZA#!se)Dt%h|H0jY<<3;V8j{=%*pH`^VMZ_;`1G^l~R1vDuGkP~z^P^OcD4
zOi&D%q)+qpspW36cAuwzxHPo|yE~XWTi?TJc;zUX;L?Oo`uGcWw*vYxyG|+0Zo87;
z>k-qSubjbZ`T~A_u?~3pO7AG0eYH64?2m<NHJ#M<y)zKVN{@Dec)o8Xsliwp{I{34
z!4#gIu3~q4@_W#rHNj${4m*(BBB<;_dcwX3Ry_p;Z@gVewD_l9!Ox7ie<j|!3@LkP
za`thlZco1=ykCs)vFvTqupxiogA!SO$X=Nhge{Z3s2oT?xKv4{S-cW1$%v!!mGV7P
zVsIpHvQc@+?~x(qruZ9XmlmcX3u;><_`p_y;y(k*`cAfAHrY4sLpXubJ5z-gQ>;AJ
zT4<c}6@*rS#4+U$i-5yc^)XjaZ!EfxU(~K)HeBU$hrHon^2@siK@<l)z!RtP^;BPT
zq|9K~fs)}O!2k68TXLE%s!=g#G8NQnH1hiLvddEk#49eQrp~k1=mhQm{ZRee#iH%}
zsz;>V0*vHi@9ZH&y=i_L%HN-7HT|mE(-@PC+=ClkkQEgZYT-m{)PJzZU4E3ivmUIq
ztvI#XZ@eFzwr>iR34>8zkqCla-h8`u@Ieh2tKWf!)ZUmfZ_LuOD0W=k#W$?sTad(n
z!!ioZR6fL;$jT?B+laI&h2@rzjf0-%Hg^I5pB*wY#uLNz_rqnDsWZ-kb()iFN3m9%
z%E#+*BT)%tmYRG=PUv@Ao6ghlxiil!x&vwSHo97q(Jdd)rA~XWgdW7wvv2{o&{m+~
zW6gdzaU<chuWAYUM;fwJSJG2Fl@us3J7)igkC9A4DK@*@*Jn)c_bNp4m(a+ztmN1!
zyB;L#qwPt2d%7iS$S^uX!^f_`>r@8roh|gR+RCq6omnVJcyny+0C^FL>)~Tvw4&B|
zwXzGu)c*3A=v%{cJS6%6;%%;BKU>e;Z*uC_L#sRlJ3gO4c6D{lOgGKnfsBMB_+nL;
zl#qti^Mm&#gtkvx&i?V$=N6x7j<BhoZ{gl8t>-JrRDox7X;JbEWwggN!TL=}Nwpxe
z;2)y;&#u(1__Kbq#OP0Kq0#uA>ZO;uJYJ?#_h+(xUlM=e0hG57R*ohsPL>R54*S?0
zsf2l(b`T3EcCa7qlo6KVn_6(EgQkaG>P~||rJCJ`ZHEUn(P4P)XKfOTBNP;8K0$8X
zFv+$|0CDa?Un)6p;I>9o46?42QGoYz_LknZDk-owq%YwQ0YSrXXE2GN<HQsh^jHHD
z>=aes;SY2-46oN!gl{)L_&^GX;`A4-ohN>uo$X!Oe>VNtN0=ZvvBQLFU<(w@h^0KZ
zlk1_Bj&uGP_<p-QQA}~t?3HF2g-S(_x$FR+*455nSh@yQmv}65mx3gxPC69qB2l<4
z5P2+ulB4`uN1WfCYVz+tOISFTL0^e`eIiSNRCs;U^V-XS-f1wb<6j=pOsH^6JL|Yo
z5GevZ?&Il8%=RZ{rkeJeuF`n-9uDg@D^C7=T8Tag8+}Z#qB16)s(FpGj~7ocw=8b+
zWT{iW7qj0gVE19GsE)ExN_o&%`JQw#{=U*oO9^_ujk&^YjDT8M)qJZK`ORc*rpy39
z==(ueGG4s76)G!ILU(xoysqRr7*4cZ)&30he;ZoSWK?${W({-gd@UnNgKmt1x_i&X
z|2ztPlGaY%=gDfz0lm?)m4S;ywTSGR_S;4uo?2a=wUm6NG#4&Za!WU0?nw7?&*vfc
z1i+vIic^zIXD{m2h5QwRJ9#!e2XOpwwcm-UHHoReX)iPOsz*e999GWH?4Q*UlT*oL
z#Qkm;c%{^4eS3kZ6{mM^mk+W4+n}v@2W1S>&Ca`HWRdOn2)E9B*su!a^88AC>xusD
zS$!ytdj47c;Wvd8lZ&nr8Lww2?Q^^!3xUF$G|N_u3)`1-k?-MSMHXK}sDS0X!w5sA
z*FG-ZW%?gIU#Y$Mfpr#zZVtV;{z*%qBt7g?p#3OGs>D_c?sEgJw=;X@<B_t9YClfw
zKX2Hb&Rdu3K4*JXt3;aYi<oM>P#oy*v1wo|q4S3u8Nn^VOv*#F_D=M&lhM`2&>3C5
zyZm;pc`iMh93xHn+w(vGlXZ%gDPs`lAt5D*LgI_Xs%^fQ*BoAPGTV2ysLR?)p{a-u
z+iTChu`t{H#goBuokS<M1lX0D1&sM!+M6vsGOzT$atC()!1Zlk(4DlV(8p~w!)_Cb
z0$wQWoSOgi&2^vJKTxq%LZx)qzwKKzF>dFvG^JU+_@*3SB$03)K2i;cc!eJdVXj>6
zsiLsXP6TA@*xx&68$m9?n(l-Je0?hH7PDS%0pereetujGu5nU<k96)pB$r>p;maHm
z(3<@{vEQ~zuW<#L_aazbwszA@TYz-EkhDN?w1YiYhKE(FOCz?|TohfLq9i~RF6ry7
zfscb&Isk`?{OZsrMmQ@6m_L$}xOZ;3O*4CO!G<o)H@4PcT^v%nM5t**+`7Dj`qTqw
zMe|?udW_Z;gsv_wdbYRdW|u1I*BcgWI~bRWdH<)KoRP~&N3RqIN@MrF9hyg3p~fY%
zBo24Y>HkHGMQ>O#@<B?S#>~JtkN(3|s=SL(dvl*5i~nhB0clFH)?W@=eoRNVz}>Ne
z#Gv1Nj(jKaCon`TbmEHv{aVa1RV-jO)yc2miC_>iWlIHsA0ygYl1Jd5SXD@ExDA;W
zDJfY!ijt4!_wS#1IewFp<JV<Dy_a#n&VDHJn)7%j`|ggOdwhmz_Pqic#=6Le5;$B;
z)Lmiv{uwd0#7<_Pk?UgKaW2YdzdsMyS{6X~U-e%a=xg)OvyjDY;L@&z_${@9k*2{N
zBx$kF2kc79pPN7}_K@o{&ug2F$OO-|c}t0%TAuMHbku8<-WyOMHI+IRAzN+BP41Zt
zEG$r)M&2l|DmwEPbkz9iF3pOJtA-vHT=Q!+MvI3{_9DJqz5<_52QwX9-TaWJ#1r8k
zxf-bxQ5>lg3D6q6c_dXx^roq&K+wS`ty%i^hL4R_fU&`ULxsAmaQf~kTMlOQAp5O%
zFqiZPX8ii|7G9@w|24yoDOup}OgH^uE!&Vqfp||)Ui9Ky-&k>zr>rPg3o3%os$wWH
zO7<GQj}Hl>Nzj~Ehic{a;r~Y5@(U@Nfe9K0Ck4VuOpUVr?iv-}%AQBGTmY1H_P7vd
zRGuApjVGHsw@YRaZ|G00Mj&Wxb<57?Q!1U|pbRPw^pW5+h9H*U>pCO#xf%6Dhk^~>
zO~K8*XI1~PL5z9~12@!z{B+hD%VZBZIy8>C_{`GbjY+L}AH#()mNgu)WEx?p*j$Kf
ziHQl?;C;JdJNXf;BbdASwJ4?gB7^{kt^+4>qTHJ&f|VM_MhWkZzt$~YKdh0<pv#v^
zB1!M~f2s7?4HG&u9C~f9jk)nTUQ)OF>ggQ%BaRdR4|#O^*vcZ<0aM`CYPa!smA&LB
zpJytFz3Cn00NsWzA%y9G9`i2JQ6{&bf<9!l8>fZ=wBi&5rsB^dVsX2wPNWqUT9QQK
zF$Byg+0)o-@dP7O!6~6rMs0`ISp$yH_5o3&*fo3D&pMBa?s3;1RW<QM|F9J>3`Kow
zW2^p9Z0YI8G!y|riSUp(#_p0}&%c?#Ud<#+@r+_%cGvrc;Puk^r6TTAEaK00uwsiQ
zCpg}s5W?$<^BX#ph!5(6Tdq8NgMUlZ9bib}{_U0e1q~S+#&)eU!E2La>xr7K5!j;Y
z9d2lwk{1vW!+JA^A}k^~Xl+UP)~T0;{ANA8dwW^kIAuQKIu(n@vd`ZmXIUZB&kc2W
zh7PmFV^?>7YaP74F`h4Ry>RFC(rPu3siZ2XvEL-Ap+irB+h4;zze7a%H@|7T^tsOQ
z$V)T*u(h?|C}I*e)h=K&lQ9|Yay{GakjR1ITC_`0Q5k{Sc})dH2wWxcY5vD*LX%V*
zHMdU1F;-FSUlNX}<!|H+R?5hoLCqRmU`;sYOA*1pGVyuNVA~eOpt1poZVQfO(4n#K
zP6_kVmqDPs`elD}*=~GkzURi&Qes-U=oR+ZuF#s*oTPYWI7i5|6&7{*{wz~x0N;Pa
z)@Ofz*e16ZLh~>pSYICy+fmjpBjvFL-QvyMuS>Z+uBm{5xw!AdByE=(gK#foy1Ngg
zHu*p8SSar|0g|dZd#7*Vs6jO52A4SdeV#~Ay-Lq9j*B2f2mk$Rw4gNgnDu79egL}C
z<|eQj?-=^R{08iAMAh9P9|Nc{q8DR0R6jp7yHtos=63^+Ng^)@%Sdn#ij8RFrl_Jg
z3b$LVeiZfphTV2Qe$lm`8bR19>2Kp(A7v{&$Ok+n21_Tf;{2Phqu%;p$IV!{VXcLp
z7Y^JmYZX2)^|Q9|A0D&gpT$di`N^#0lDnU!r8Qej^!GjALA~K$LaL~pb(t9AbA}!+
z$_<W*X{>i^28k{G?W`p}ne%Uc?bgno&BgC)r-PoBbAVaqD3%}&ZP<KP{>~fC33t{2
zb<K8SGLP;$>LNTMbRx6k9n}~P&WvCeNu5t%YQ#2y%@E<X!9a|EAEKA6HG;2F6DuU~
zNA3Dtl9ESUMl<^bI(#O#uNHG7e{i(!$SeQ0C5)MTu0F(9zBov=p?E;C#9->vo*}$?
z-Q-K7jH*4ZHEBDjXj_tdijd?1{5|2=vAZ#88Yw?kIn4EzWC7S@7yX&1eB8dV43_of
zj|P_$noSW|eU5pR)L~unAhW9K<UiUvO&u@<6W7c6dh{-k7;xH`he(OT)zyZv9n?s4
zE7s0N#i=XhU4$)>@>Z;E^uzf_&my2WilDPWT)ev0Ij!u*{h(8ke2ztVs26wyA*$YN
zzqUndMD;@zRDu$>`k1wS#EwH@GMxtP1K0bNVs>4t<A~z%%q&ED-8BL{5K?EECE94U
zxL48`KgK=Pl2q!Hba<G}#sO)*mbx-*7MC?(M>^sis;ad3LAB8h4{T7bpM6^|Foi05
z%Fm&me}zP*15hsZs<d<}o2Z?QH;QGCJjyR_Z+M__X)m(2eBGfhKvnt|mx=#Y<e4rd
zFGQt**Y>oe>PR1>bbvu#;OErZO0Kv1CplSpy@ymuO`d;W^ryx1E*<NXQE9$5uToF5
z#d3|?<=55Wi1F9@S5Y3)JJf%@j`P&tu6*c7Nl23gLM4v9(N_MuEs=Z0xri!aj(KFb
z=EKQk>Ui|uV|^O^)uP<)*$W9zCZQ}EI(S0E__s*Urh#R4q<H+xi}JVha(PfNyS$Za
z?Ybbqknk5=gqFb+DaFApx@#jS$^1Pal2SyEVP0+{g@miLAz+_U^iZ1LPq0tnBbfKQ
z04!Vw&-;*Ng^!v5a|}h$98jj<8u^{V@y{+Sz~0Un7M=<YY=aFyZebbMJ5tB~*u^zG
z9(1!CJD)z-4W2g}GL7|5I!qt1W07euE0|p}lq)J7BG|!k4TZSDhGCnekRvEoKEJ?>
zwajiicbsRy0Lv=3*5E|H=`r`=h8Z_dd{&!4y!0f?kSJ86Q-nLD&2~kF?Ie*SRb<w<
z>LuZ9U^oT4OE|T^V~p33c1AckOulR`HNuxjJLA7ZIToge+;jKm=`foE67eNsezx1P
zfy0AtDw-%GCGEZinqZrPvh~J_51vWQhrRPt({h224b6<y0M){-(WF2izeuW(sq@7?
zgd58=((!nT|7pnig`LLn@Gl2T6@PehJ5fgb&O_niUG@A2v~qc;>FYHTR@56{opQ{}
zINI7|jbqc{!R|wlTi*Zpw>~XzlO?dpm$vM9!E?9XVarWI@{}8Pas4Ly7bmGhmyBq4
zk_`e};zxE>FKGa#NGRQbfjce$qw>jqLCTk5(?xhGaQb#hKVO~WYufhw`uzTzdq?Oj
zHpw|q`YyFjur?$h)*JPfK9(Y`wZH#@M&Yx?sF3U!Ns}*|#JH!DAxC1AK@mRiec*PO
z0nYPnh!k@pwjUapTTpJofwa95z|ln~EQ^oj+0!4806KBdpvhS_4z`_YIiiM+^`-I5
zt}X2gFxzA?e#>yCks!voFNLlT7M>wW9P{%bj&0$8U^QHGLLZMizRotu8w>2IU$gyo
zbnOI$9F)9;An_EkRDmes&+byUAcuk(e&NlGC@YVT{Hf#N8g${2TT~ltH`-gml0+&q
z2LM}!Yp0K1T)zIA?<P%r&;y(3@7q<ddPf06N?C6%yQwD`0}srAkZ|p&rYqs3YRC8x
z_fmj%h!$<=vD?s8Fr%<z&h0y!O;}UY$^OXy2)*C@{sCe)2Lv(++DoYFrw`k&$%vVi
zk2_5dozI3l{<VzBGkXKLgEX8rnl7;X0l37+N(0%Ar4AxzauBf#h|>R*<S+{}B%kp8
zr(7w$A*^Sj+ZhiE@<=WbLF_k5Ly>juZ=X_cHr%4{V?86)dUaj4Qbs@$lh?gVhq)lU
z(9dtLUUl`*=+pUekNAgw*)g3-?E|_CI61BSFb(ri%}pC&pB>pq*<ZO+ZNO@y-r~nf
z1j=4U3QBsL$LcA>{~FI!1zLqA2=F*Rf0Gi6z<>l*$=q&K1Yrj4I;;AYmXy=j@dxtA
zc0<H3L15en@h8W-ND9-Qba1axKGB2TS26|LzDl^JU3Ti2cZ;y2u*Ee=XRQx!TRCkT
zM2jw7=fF_R)l6mayHIakZyQwoUFm=xR{qDls899j6l7=_x=R*rClCkZ@41=CSRf}$
xQi19OUFhUfB6#*vmV*;zPzvT07aZDoOl@vwNhl~#lAr+pAh!)}Rot|H_J5gJ41xdv

diff --git a/articles/PCA_files/figure-html/unnamed-chunk-7-1.png b/articles/PCA_files/figure-html/unnamed-chunk-7-1.png
index 6e5b7b3fb41b49e26b2637a91e54bda63a0a9045..70ea4c5dcb1974ed7723efa63d63c3ce48336e55 100644
GIT binary patch
delta 66408
zcmX_{cQ~8h`^STbU3>3UYM0iiSzD`=YEdh8TYHb-5u^4hHENZrYHO<<Bq(aNS|xU9
zQF}{>@k>9S@8@@2k35$vf8;#p+~<A2@7KAXh85C}ze#JI+yPjdvJgK%oksTyx<GP1
zA#wpem_{6iTya}eap1+h!i?@>0fSgc0Y^4&7d9REZ7{@{9V|pa{`?*)=B7PWI%!*G
z^|sMu$11iT=DGgpsA|0`)L`{o<!ku1@2DzvylUp>!-a#Q9jf<0&H#4%+jaTo!p%5x
z?8y;^dnx9y2jEkFoZ8>YJLMw7IkZ5gW0K{OU=~ST+66kJuAX}swh+Ary}G(?DVXiD
zNrE~_k6_$1CC~1j&GDsZX4Wxb`uBS4br^?H%QXzxaJCtT4OY>v^><P$P`7^DlzlO%
zd5YDSoux>xPQu<S?h*v66F;C(`NQxhCGM0F4qR@{H`f319ou7e-t}&VR2K=!U+01t
z5*gCN=c2F-U}HFz=@Y_wT1}7eV{7~@QkJBZ#1W(l$<MQ&rsqPAq5EA2o5U`x`e%X?
zvmmM*xFscL@tO;<=l>5*C*f^D6kfFV4g?e4tLyUmsrN>8*p$^=sHXa{Gmu-i+W_sN
zJQjRSVVGIj<Du?bxg_|+E$TSsn__p!PBvc!Gym-AH#R~4;Tp0XF{lvQl|S=2eSdTz
z2`VJLtqW$dov`IRjFfLD$E(R)W~O%%BUF(%X#IDfzSX0F=gbwQLcx3&vxL2oXllab
z{2DhAis7+jnbbV6hrYWDY}2g^FzdlpA7;178?20&)*2(N3lqvj6HEWS4&!~vxAg=m
z^sy3(7Z8WJeJFeNn2jybvDWy^cJSwZZBy|*Fb(trGMS`rImgmB;}>76VW#IA8`YXJ
zN`?Gl8?(h1)!a<!a!&N!5iZ@rSR8$zygy@WO*Eno4uk;nU|4JX#{0O}$0`ZFHOdq%
z&73v%1=_{=vgj|tb`UvA_moYqu`z`&8*d&8U^=4V(flx?GRd-hxJwZ2tAfU4s~MNq
z6bu>lD=XVpD}TqlS5SPr@;6Vc8G|lY`ayW}jGow|=o9cRg$$8IaFJxhp5HttE<*g@
z2LuQ=E6#A{*)HNUg#MJLzUDv@d;=d`sCcEcq2fYHphbb0^G<=)+C<HfR@d`uexA=i
zcfkz>aVbzv)D4YY_PsAR-H@G$voQ1RoAECx2{TEFNYEe+-hwLgg$tlNgzE~AP-i!S
zRNbJ9%-;?vWEdlF)`sweebwPCudl@bkAzHiT5E9^qYmLB1##_?dfnsdQK~mqTFCq(
zJvQ7W9jUFhjmJwwtmBSInj^vX<#LgXzuq{62M^0@VPf!uF1QK`)2)o>gw2p8Syqqq
zZ9W6DY%a!N3HwG@EcAt4Omw8z?bDk=`{5MBA<XB=5C6AkbW9xnBw+xxR|V)!cHFhy
zvKe*i7P<;ZHHjzL#Npy&AC(8C?tsvXDmMEYR_3-lcdl#*faQL7<g6LDExm&t2avvF
zYpJ{P_#IKdW-V(j2l<CWoXUvsm2(ioWRJ7g@6nDG@>)3??Qqa6<$`$d^B0_N@3l+c
zP=~BB$BUj5?J8i>P9k=JKAn{u!S3+m5$_{8OtFY2%}Wj9ll%`5Ia3H90{dCE{{~;S
zUdKuP$AF{;_r!)Dw61Lad;;fDSCAA3w;6Nwox-1xW_jZ~mE~PCAJ2;>)~DFpkBSda
zx8^VE{VG|~$F_E=pZsVJ%=sKf^qn`-Qoz7mPWq3b(Eqk4V8SF^CLM)W^6cP9xHy$D
z4OHGG5mH(c>Xmhh;I01opws9n>YTj!LhCZf8U5qW#J$3#WSz4^-gIGAip^jdAO{?{
zl7?9TF)qOKNE?`=l#KYWa0L|Nd+WJ-2jkZuqGJt6geD3H#%NmL+;Rhwl(z+DuW5Cg
zMGh5_6~zG?eYcMrmM-t!`+b!5{51ptLtU`A)Wm+iSzAs2f+qb59shhAJ5dwAz;L^M
zFh@H4Baeev<QP<MRc~6axkvQ$zHwp$g5nj@ZL}G2{a(8JqajWmljpn(RwT36hDsq%
z@GXoBw8EDS!4l}NktfvSo>7OHNYf`Fl%{#8Kdq&}e;Zx)1|b?E+N^-0usYSUsh5&u
zqh(=HuyFQiMaE#-;7V!_k6#w9X$-yO+aYYPc?=<&(#TE9WO#^IV0D`}C3+62Mpn*T
zkx^Dz_{trm23FRT@EG<&UQ*@GAq$8%DUXw60Kwsoq<X4te%3D9S#tFbQrUOJK=I2-
z2=p1Mh~}7=@0|R`+?54bEYAo||6w<|$TzYSOk8)EqjqgtJhq%@m^{z^8{?9MSLxW{
z*otO~>L&z6_@AVNqmt#6r%~B1jR=Ci{qZxAdl9#C`-H1no$YLGV6!r#HPi*{T_6!)
zsV_~It=TV&+lC6IoBz8F0KyHD(Mi5d)^fDZ5KtstVRdDC=v$wXjk!siK>|5eRJ|%X
znd)tmS7ZncnwupRZn?3)F`b8m$e4o`z|XWRBzxuCL{FEYlhLZ=x);QwmsDljQEeaL
z=O|_7>T^M-!XTiOI$PGqx`hHqQ+7edks7;c2|Z4i%><>A_yJrJ!7RfbGWct4!nfYZ
zlWfd>zh}y0HmMcMxTY%7M@HJM66+9N`mTnfg4BvCIcH9>PHlbgb+$rcsk=v+ykJv^
zaa0G#iZMKfabZfy^g0EX)ZNc-(=Xc5qe9upN`*1F?th6W%ih=yjJ^LvQaBRtxfUz@
zT=vjF7_f2TO~+OE&mH#-7-a@`=Feq3J*9UmK2eT32j^m;ll}Hbh*_mVZ;w|w(7+F`
zy)0W!dB~5+0;4y<7#b)SZdv~oN6%TPj9#P?!&x}y=hq${JUmDq-Q#;Sd>cv|bGQl(
z%zLw?WlCff<2Jv(Vo=_&oFYlDqmIs2SloC3{0&zKgCm@EuAZ%Wn)JmFy1no_sLj$2
z)C}jQIsdtQ?%Q-5N)PF_uTTGb5GLo`F;-MZJ6K=Vz!`1AT!-Cji}$A0M5(6hFS`{z
z$MB+zgpIuwToW1%yvYzb;19EV3{lFTdoO4*HoPKR?XF0hw$-Tq)rV&Q2l}c1omzzx
zP|Kk-QZ9X-hOjuPWG|pR8|rl(lS~H5Gt3=zh_#fPW+lt_%4SS?lvo-OmgyO*KeFjI
ze(vj<WX;R&+{4_%OnQ%q4)7$z@5HsBKBrSST+deIe5M{nYOMbo_Sv_kf~x`h|H_-i
zkJKRF9;_8+2li?`HZ;8zXiDv-T@tPso-?mcYkM1qFsubV6wJ+xOu4@ocUFPZE{KD%
z2FeEl%}w7p8Xec7)1T2;tA3%_{1G{qsE|`ge5TXn+C?N0DGm^QkwdA?<JG8do;rkR
zy&*p`8OoRORr|Vs)f(%tJKAe8ALH*F!bo|rm#y$s1!yR-@8@=_sHuVe>eFT?^JUVR
zy4C7WvfEW}{eT2jvVHlP{x{8yR~bkHx&rXlRxRc!^cvV0iKzDdpF#L5AX>QulaM(O
zqTZYF$ECwOG}wm3kmw5dab!RIh;+Fa;zFcH<biyHG=|50`}0#4DwxqH_^Q2{s#PC2
zGGqDvHIZ~Ez9W(uGom3dy%TxY${rPCjUVyZV*SLv{2^SZlnV(PPw4J&@*%y!OKli^
zm;u#gea{vdUL^Ttzmt_w_+st|`4zU1v#43Ld@tx)EdmwtL+{O>j(Fp6B?&Ll;F<$T
zFVpv|<u~N-fHwA*HvrnTG_=5Y+!6v{rC;}GAS8~#rtY^@$YLi0;gSe-@^X0L6&LF=
z2j<*0r2no&*(GHl1^TTFb`G`H{{PSY-D;4(rAG8YN0D~i1Tj`nGc>CPbh$WvO1k@2
z-%{AS&1##>1r$za&+MBm<zZtS*X%R)$CyM<KMP-~@OsOTk1C-ZC{vsgy#{hGj~88=
zrtTzKYd}SSKPmD%>Y0mBad&O5QAO)K{O0pq`>Oob1{e)8TzqXJzMF;HKQ->2O;PR2
z{(f)pNr<CkZzyA3=UUZrN<g;4W&vJ5DRnEh|BmH+Z^BXeHCNahf?(7iWegI3ZCid<
z3l)$Vq1b}0th18<o3t)~46DW|4fOq4T3#c=dHesAkx7Sr-@PhZ7CUC?PDVeK!#{Rd
zg6?G4BRA%Az*i#^kY6LE`#+WV=gV}@1&Z8J()Bi05stbQr`fOPnRvc4mlc*6f0$~<
zU?T40fU}Ts^jq$W3TJPj?>q<%vdd_%hR3RtrV;_VK|ECT9+(c=V~^S$K9h01XeFla
z?5~*(AyL%9?6p;`TTT$!s`LS5AiHAM8`tm$p+;U3UY^EC<)d%&>0Tj>i3biLaz0D(
zg&#gLIx2V!MyU*U)V{p-2>~B<=t$wBlJqjv&Q-YX5Z;||WXtG(<L);2jYDB6wHnI`
z0)hY_v&3t4@j6rfwPZ{du3J}=R9U}opanX;LLa&I|Cby~sqdW%wD1~PW*P_PYtivD
zVKgz1dOxgaV<wTzNTTX9LrhSHUl&aQ)oc{`eh!J(5iBiEGC@~_JW$J<_VWp!DfW91
z6vYAM-EGeC^@Cj~F+Ek6w%_>t4LF9QlZD($1gSh~Zj1f+VJ>8CLK@HxzxP{x=_&{>
z6}&OKQBBfdUZ!#yIu}u*7tE69PE?v!-k|YOdyi9OBJ+#7i!7!&5z0$>GLdkcK<y+)
z_o>^HJ$DVeeN+5o_%Oo>@tI+t*n2KOTx7BIfr963@cQ`sA^M?wF;)ZK6rhwgb6~}C
z{zkp<b#G%CW+a=8qr>3rt%Br5!LN4Hnzs&Lr=e$q=}Xj}h5VQRZ*e{xe~@+Ia!iJ_
zsUNP1>$Rsd)a!KpsV$aD<Pup()W~jubKT8}!U_$0vL_e)&twx6qHrw<bKyP}Iwq&K
zGm%50pqsjoiq?p^0MP0JcJ5>*>X)22MQ<X30qOPTqAM`U@Tt3|Wz`{+by#*<6{3bm
zK{e;=eFc(wwUACMk!n5rHJuMM-_;?0%%!QYdN75IGMt;VQl}T)sY@*a50$yja&=79
zRl43|AmL<DbvN>-MrZ^1k$qNpOOsI<ZSxyvIODd*$9U`)fO^~&vr)xCKNsGY!s)tr
z=8Y_)%~pUPlt?peJpI$YJi?MuTrKJK!ZYFVd~Uo9Z{ksBQn@)HYpp5!DG<{R)wd9<
z-6BV<Av1n2XUQ}|)hXsh;1XrUnFH97yNm5^WN$bAtuzRql(hkm2e~#TF6kcxvMQm%
zeG=q>YArDK!F^PRbXL5EbgwuA&5kPMLd`+s*WASUadh8o;6q~uufWWyOS1QAT3a_T
zhB9Q@0_Z}JmleF9&jOMV_*%E}HsUe)Gt~I+O-=Wzto+Bwt$YqkcO}<Ev#9rA-IXh`
zZSSsG#5q5=zTw}^?FL~XUX$0>xbkL)N?^wa2vq8`Tye4y>dYZpNWd|(KN+ncw@SWf
zK=6yy#u1!{f4h&iq!(rJTW^_)Z~Ip}@(`k-jDiy)ulQ%c%p=c2-iZ1XED)&(Cv~t?
z7sa4Q4fQtnG+!XizQmdCd06bq2H$<{cr9#|=FrdlziQoCV~T?mE7NLW4PFD{GPZ*5
zeySU+!b<DKHQ9&qwah%nwdJT%g;n|EedxEXHeIIMjnLCprk0rNmJurSFI+()d@OuK
zxz8{^(iM4vxe)D``u;z8E%umK&t5}r6_6KuM}^;~`oduurx_u-KJ!>)ep0*1ZSAG1
zfx(A4S+SZS4cEP!e5?t)=}El+)~EAVw)OAutAzh~l603~c?IdlgvhYf?S(xqxkmE-
zN|Po3dswytDVv2gNuKU5ero^uom-akOfcJVLi%s(vk*Etqr|Lwj~HR%49u}3ye&6j
z@Hwg%cF$woB83^wI}aAd0}cOs__vpTAAYyrf$o8eO^5(sDxE50vW#X3$dalHiVo*7
zFr0a4v${AhiO-AjTLPb(UTmMEf^5mE;l=adDiKZZ=jb6&DGLt`YOHoQKqd&)cgg7X
zN~+HLJ!9e2H*7??3Y#4bryIYOc+qh=BuoT7L!2?+r@aI-G3hGZ38%acVP~ocz>_YU
z+@4^`iUZ(NB~6dXBzFCx&RFsb1Tt_DZc>yBLr9lZxLpSPnEF$bCrNiz>_HFg2DPLY
zvB)SPuineFm?H$mhgYXw=|(1y#JdZ(D-S*6-1MS=7+h!m``-+)pg<LG7IXvjp`1i8
zu?1z`yY>_HJO9lAfumTx!E|z<X-|OL>>{tgzsFmvzX>^pJB*q_pDKvk5hcfL4$XO~
ze=12}UL&*crfv0R+*OC}#Kgw&2g=1Qmr`wM*XG>bI;s7`)lv}x#ph5CSR%9DbO?=)
z$CDRVGB3^t351Jc$Qsk*6A<s93lqnq-^<vp!pYl@_D=GXLNIZTzI={eJVpR=XMp1H
z_Ko$<n+vS!tO=Ljw02UaeEOd~d-h_uu-%EZ#Wy-0Ct0=K!3N3d+3%Crb@wV*zQ<-_
zCpE;$=oms$DCsqwP>1koQt)x;AovKa!n<n37kopdVo&nLGIoyju?j0PG{|?(?`No~
zE{Rd56&5Sg_y6As0)xm2(Uwbg`q_SBug_U_8b&tax@_k^N%qXwIQ@z?PLy2e(Oal9
z)pD66?U)>XF@yqJl1dVg{r((9O>RUi*Zs0fW!C`)qz@8v&V4thE)#oQ$0B?4zLlT}
z4xZGhaI<x*MgL5bHtd<TnSY)PvxcLS3+W!Q=Qi3nqTb;S;P}RnIC$?ftydJKNc|+y
zT40mKs<z;s>MCqUr}s?ew6kYwO-S|ya>6Tio!WYurFHj_hL@z*_fy0e3<Tl>8ED@&
zYfN_^Xhzi0+pB#-d|}+cf7yrZOM0<DYF}H%oR~Uv`1Id;MX<{3!BWrkAl*5G$jSBa
z0-PER`noAl_nl&2FUpJmytIH(0^aIHduQ_hx!!Y%Wy1-@`(ambH@$Cpdr8lr>4V8|
z6y7Fzr*GX4%084FEAEbhJ)c|Ng|zGSaFM(hd*ZzWlV=Fw)z&`w6H%uh_Kd#fl;`?W
z)1IupzQj7vP>vTab7v+Z@tMLz!huaNh78EiKf6EPKeg)b^jelA;Ze&IIjfhEc8LV3
zdy<Tv?~OmQXHrdRh1bE6F6nuS1ihoa3i-}UQl5bGyqZ(d&S4?exs!7qt~k7DQRncP
z+HrUXRM}{krxLOcPzM$h);Vjm(xR^PGus0y6_uyo%YH%H)&C}h?^aE^sBjSg<ALdd
zOCQ#!up@UOAHea0<I*}5*GIb@KC)hGlB|U1KkL1mAOEeg`~Hh?-O;|l&Q~?qB=GD>
z1^Qi;Bu1gj@~D`bJA%1Y|7`I4B&S)_*#N%#pY;|nIkAOI7slHa!fEoVq!VF$l3t;)
zga|z!?!GRy9?s!S_t{ki@Qj4A6Eu3+()D`d&ypyDyB(Z>Q*IN6IOuKf#xzTGMR(;y
zePQUpi_{3L2B9XIp(PY-(J#f#=OM%3imIxrxscUDE5EnRBAArvg3I$24t>SNqIj|h
z`_jjhjFZnZa9UHu68X~K$VfAAwr-u$5o`%N&d4B^TTRT*<bYavIqmZuM+q+msaFJ#
z!I*d)UXNI#fj4|I8RC2!SGK{YNX_trPq90ErFV={ML1*UB2%WB>yaZ#)IX!NA`@%*
zYcqOcOC&H^OL=NVmnZdynkGzdMdiW=R{>gy>PT9f@6*#9wK@Vj%EBLL(tiGK^6&^b
z-!ZraZw2_(Z(s9N4z2W7Hhf0;VngAui+0PeGy@ykq!gQh{gj9emnC_~ZZS!j)0};6
zf2MnrMQG~y)pl`H1*QDW`1`z#h-*w6Jr$ud-|h}^(hloG%QpK~xd*mH=IUSPXDiq;
z;s{Anjw^4DSViEj7{yJps65F0jW2KNV>vKSYW09<R%Fzw@V;s*lT-xYeOmpW<&-@{
zKNg%NYz0W+clvED4w59XlD8}$p7~v1dxfecSrUo~0xefjQ|?yaVN~+ah%La&=2N)Y
zFfG>OBROu1y<&(u`7(TbAL1Is*oe3uYjPOv6r%M&=$RVBZC>pOW}~vM+F1KcKmnSM
zLjHtl%8Urx7Fr-agfm-Eei8OwbEB@q{yTuCD>u4r*as20w?6vb`4Iz7N#VZwwn00N
zKOcTYh}d0mpQBdpMZ2fys3>osdlmiP(7CfyCv~Tl8&^v`!roE}=^NL8d5m6mzJZ86
z^EGfwVLYbNIVVJE{Y)*;f&#~<eUeV@j++gli&o4P&X{?51uZZ*V;CkBVZZd4Gojbm
zh3}WjZu1cGguAd^`3ISr@7=#O9tC6Hiq4qc=aWv0c{5^1r-b>h-rPI~>9CyJ+g9WI
z<+&CFez)&J4qdFzf#<;U7pM0y#?jDQwZMf0djnZ58SWBH1<aFqUCR}&-6QCP*x!9w
z-{>ISTIS-YGb44g+~L!Li`$IbEe81p`Sy@eb+5yYUb3G*1s8a_m+(ADCFHwElDRr{
zk|2I1`eqIolBm?7R{7gkA@++JAN`VlrlP}1Jk^_bX|^b`@n*UYF~Uy#0&5SBC{Z2F
z)^7YP0PMx>V|=sG12D=L6Q_jCt1Ym@IC`nJF*+srtM`<L&NW0U*@Bl6*U^Mnlay3S
z;*@p>VoV`8(0sV73CX8$Yk>u&<WdraK*n4VloWjUNBSVOle89L$p|oPLql-(Wr?=S
zsJgMt%Y+WZ=8BJ{o31b@d5`37tX}ODn-^e{u8&yQ_KNWN{qXY9bH4I=6B-Ff=lxP6
z&Rt{V7RmQFRU}E;E#_AO^-dFhBBeBlQ@nZULd7-D$U`y*zaV6r-yP->D%2*b;9q<)
z>DDA8AD7<zSeYcr<g+ii*zt}?;2oPx&50k<=CrOC3sQMVmEwpBD#^&7zs60G^C1TK
zaH}HlNZL~@Q=x&t5fby%YQIQ2^Sz8QY5caLvitFw?-#e8KX`2l+AvCN$NnKz`en}%
zbltgG=DXTi{K0@U?VJ6EjQzj<J|0W(_iW+3)9XySOJ0E{SVHsw9h;K`f3I`4qcz0Y
zMPE;IlC9ula#&)q@Dcxrto#ZaP`qQxkW$*LFQnRHNuKXFwm&9%icB~rh|epiHUSJA
zW+lCXlQ~<Ok#3QZ{6O)n`BEqjlVcQR`fuB?d>{IZ?Kr2vZJ++f1@1h3ylQh+huq0^
zP>z~I#7t)GhWzB1CJN(Zb91j^t<{1?n><WN{7`<kbKm_}V;6vyL7(di<Q5aihgD=!
zBt9}Ae&8`J7wC+xg(evEWwlK7PTpD-MlFBeSm!<}{F_CKI9gf*?=SOG>2^Qa`eXic
zKA}rSsRT6VrzXw0Nz^vQJuDGb(kE5OEzcLca~DU*57w4*MCl!}^#JMalf8&koGiM*
zkN5}kJ3d>|M4(huSl^kRGjm1u#>&~wIS1OBirJ`_*2Ar`VQ9@rsPlcs=WM?w%eP^v
zabF%#-Td8sH?|mSpRPryBy`m#es~P5y7!U*jf`7875H!R{WIXH#`@xc$emPkCrs6&
zCx#l1=SYir^cH+e*@~R`@w|rXP(HyDJf8PoDGmG`2h1_1@4vS9+I>gz15S~VXn^r1
zzmijvzLpdD7Mk5n0GLFCd_zd1&q0Cn3e9e=2et`L4zvr{<_1eYfm{*_G>>Dxn1O`C
z#QYizk=@J7i%Up&`SK^XbopqgZ}B*HK3OaNGBJM33q&?%Y3K#vAxnjfYIgzG?sSb=
zq0WIEn*wDH#VHShbJea2>Zc`X@^i+LxWT5#-b$3YMxL`+%^SD#1d|vl%dntna*3uK
z7eDNv5M6gV%ve~;P-oP`*SwE<yr&vSQ#i?2+Q^%`kj_CpmHKsFlvnR?>6xI;kHM8{
zofr(%F#5U-APe5wEu17<JWVX6mNL1-14Y4=tZt*o#-9w~#TE2Bumy@^<_ztol5}J9
z4BYZ@S54rM=u`?NdaMGLp5`Q7&#k+JN2W$Lep?jSNf3HJ#}KjrMu<eImh6Pb-QW-s
zx>i{Qejr>US3y!!v~MvVEF}wb+CCy+pv8#ql5506`LFefr<@L&>_ajsBU$Hwf2b?N
z5BO7LR@C4Fr#idn!x<z4l)z7ZPyg%J*}ZR7<UZLGfktOC2pLhQ-96@zo9H%R@q1Bs
zyg>46F3~lpfk=6CzUf>F`7wIJ$Kd#+#uHE7mTKK4zG6XBx;&!Y*_8sZ)hqp7LpGnF
zB=XArkP)da*tsV-djf1kHq#rQD8d&&0NGW6kW$L%vS*Ps#H+-3!Re)FWB`)N=5X}^
zQn=cVm$(ZOVK|9hk%3B;nm9+oB6mo3`p36MRK+(}HLPoxc)S^Q114RB8SWo2PI}Jb
zAFZwzlWr!R{eiLIXm-V&o`06V2L!jI=|<eBBI+bUXs#-_0s{MeTd~?2pH;Q*bY-e#
z&ywv^(VbDRR1P%LwUk57enr-RntL{_sHSloyCJo1uTSruXljN+ysv*F=C+I4VWF;;
z$c3!L4UiR+a`54(hf@sZGt{_RDB0i7-AjE~sOa7O`KI!1Z!U0u^c2N#kIY6KiJyma
zMJdnr;5WhL+kg#?|G1`eue=CH0B=r(JjdU>t{%g<VWIAt*6>+Ogrxl5U>So2tvfLT
z1-TfX2~h-d@WYHrYx9*n$lE{V%PBschdrP7R|d!K2gKZM3nkYfQP|XjX2ZLfp5^5H
zx<rKjwMXvU6>;sdXoSKBqAeq#Zw-n?UM*)!Yg7YNyi{I&afznPuiRtga*D>-A<gp3
zRBHsuC)nKr6^cTtSNats<f5^KTTB=L{u24yw#kRq`*FhlQ)GRVV@cO9F3ftAEG>?7
zSGafZsuAA;8IDunInepqT?C_~9iR3KkGvHBUL2xvYo)+Nn=j(yKnN?bdXiEN&7Oud
zH3zUgqRN@P!F=FdLwZ50SgH@h3Xmv{`RVdK-npVPdg66wl@5JXG)SQJ*6%dD^g#UG
zI`X%Z@CR^Zcus~wIQmq#FmU>5oPfMaKaqtSZ|#H>Vy6?IO>0}TGAS5g8yU`^b}YS=
zuhRT_o`82dYX4k+a%r&|_`wr?Y#f;f$_Ki7vuP7g7$d#f?o0--%)li}(yvmfP##O@
z^Q4?*iVAUAM$jqR$txTlsMr53aH-M1P(c|XRsuZllE}_6LXi)cbP`0E`NqJ`iK6<#
zCFPJ0&vbgRZYAFna3ztvOnb<`<>#HO&{i3W-ne?Td2Ga8)%`7}r~$RHEs!BVmQKpq
z621`=Onc({3T(CL4*P)KkNt_GYq<$8u)EQ(uOR8wZ3zy^R>&Yf^;S0&;A}(~+&~#|
z!iuz;)larVe_!G+2QR-)Yi00)^?rZ7BO?gU<oA*N)U0)St*-EWSa(SOzZmY2>d4md
z&GlrN+oe<3DCMRwIV#Xs;Ek5c6RF1BRvv3!+{&kzy^E1xd8CZPz4eWoWu6=oDHyuu
z3me|);43ZkKJTAscBab<Jf84Mf3kZ0H-l)b5S<U+TFAHa<!sK@M|#w`tdNNtKdaul
z&R%5P+|f3X6lh+jGx{sYlQaUP5(Pf*J6a9vEqTN2<BcPn*`M>t0yFiy_|Wd3c@$?n
zCjx3$S}5pSFG+EMD5Z`L*Jz&(MNhrnV;KG2#K{bih#(APGL33Ba3F`S?mTd^i`H6w
z9o|E4^~R&fSI=)mlV^P{L*c!6pk{e?Z^|7SDkJst!yOB^8VOSs{5)(&aw&X%K>{a{
z>&5^4&nj}0Hgw?;5DH*I>!^06B5iEp4;3Qws8t{hHGF|tK`0Yw1SkwN-=$g07EI*A
z8upsdfZ->Sn*v>hw;H52bJ;~)&JvtYs8Dc!w5o(HSN#Z*7u7}DDVJ5BAx@I4+ai7^
zO(y+Aq^<}uNO4S!p8ogyj3;57%xg)(7#Km>cW9(S=Ybd=xrEv27mRaNM1<PM-pn8}
zj6P740InP8_tYwXhzn#Z*qe1E&~K3a*uVNR=JdQ5J7=gDLH!vj$-vymB$ka7c58!?
zrg#&u{nV{*<U!80PYbarX_omo#XgG%-3cgg6ET8J(uLV}SC}|Z;VSO+hw^=&%(iOk
zrp%5dfCZz1aYKH^mz;;ha}RaKheP!%j>3o%+*2J%WhkD2N>d>L$g8~&XV?9JH-hQ<
zTg<;D?v@tBl6M+|^!g56<qQ32LI<#4!s$43-Z_pcbJG{UN!F}%R}*l}nBz{IYe2Qw
zTF2n$k$3gK9WMG`jAUrf-u;lyWp95X(0l6%AmT))olr7MzrEUe^ucq2b|Lqx95pGH
zUCxDz2aI|d$qPnZla!RC-D#Y(U6~77P@QM<lTKG#&U(PZUZ5XzK+(Ksz0eyNIVG)e
z>M0|~mrL_8N3rf)Yq#btE=!Dc(Nog;n6hkv_&DwmeWn)D4`PP$M8%ARj~ZQj5Ca<o
zqNhnvT+(BwwpCnTfB4AXjVTN#mo;`PRUuUFJdXU0?0e!8{j~J|u!S*fxo$6B=2Xp6
z@Qa6*GPjigL-FI@kDc$pP~u*o&JXL*d_A78*gv|>fc(X1XMe(x4{-#W5-;<gd&$sZ
zR*wZx@=#6l+pihhF_-2uaDUjEC~)d)HD6XAzwoO8N#i}TO=rls!QP-(Rt(8Y3<Ehy
zN5<A@)iQ0G=Hh*KYHI!|4h7ILt0MJaC<9TpHfC#`6DB)hbhB2lkIHW$1O#bMB9-au
zkyFbX<iF8gJIR%xEyEj4{%MhQN``IE(VxYy#NX*03!kCOP~pINmjhOpk)sRC-CPmZ
zmfke(`1Yr1fET-8XXHDMQp`4bYMsp$r@r?ChU;kbnXneW)tHXoHDldns#%wrnmY?{
zpkfJMURRP|Uru_|qsX`IZdVpNMo?W_W|{5b)r~FE_)N~5s5&&8#t(0lr-3G)^y9bN
zcZeeOc*B`6*mnf!23nC-MXMwImLt@Bki1yXK1nn6jae{fn)ca=NL%#NT=Q<Rffnon
z6-Yd)?OZn3nE%4YzQcIPwI&=?|7F(kz|=0nn$tqYL|`iV7cx2Zy#q>3Tmbf~7!%f*
zM({7}w=DD<`7fSxp3YkjM(_Qstz)TgB+#t!_!J`o^m_o5P7~9fNoL?)e#YOMn0l|&
z#$2(}8}yZMR-_qoDoKCzQUEhk#<<C-FN+okA4n=qOKQUE<kD{BAx~D?PbYFN7ub2f
zN90L(Nm!qXz3|@b!nFB(Q@bayFhcaZexEo{AU6Rz8XfC~l8WwScoJbm_W2*YwMH|A
zbW(Bu2ne&STJ97RZ?Zafmg3c%l?~`@Sr9Qa&t4=X%71u9=GS-N=6PPH_Nk7|AjUG$
zL8-{Wch6(dQ#-4Ji{4wSxk%jl#LHpyZyy9jzopPEn7R<<Sx40Vk<KXWOO?pytP>{I
zw0wFZ#O_dl-S(7*T}}G=+-XoXFHh^v%wj+f(9|R%(y|aeEQKT5FPbMiqo-fGOoViU
zmRV=*bmnVG(yvk2EQZxtTCPM;-*PPsn22v`YI*|#;<y9<-1wd|;sWFwUL{fsn11^1
zCqZL7NJLl4-7?-QN1B(%G_JZrQAhd=X4+iE2ij|X#Dc)kBHD22k`M3f1nQ>PJ`e#S
z=g5LdUAl-4M3yhMA9S1v+M1Dis6!5v$UiuS1zJT0&{dKg6E}$5ume$5GA`PLJNgI`
zjk+leytFi*v{+?z_v<gybh=jIMYTRHFqzWCE!iv|^x(~8qt1Hvrfd3!<0pw~Piys_
z$)$jUwjy!b*}zYotV~_iuFG5lg|4%Jd;Fh9Dm+`!>gVy4V?l|uW4YQc{M?LkGP~fb
z>Dkt=0OfZN(`?Bn%GJeSS;sddmU=_P`N}NWas8k$!rfD(5`0BOu)n))@w#=$gk~&r
zq3lz?vFgRW%8yp|B|VyNnUz~9o97k>d+MKwFOV7X&49L8o=JXcJEv!nW#IrShwr%6
zesj0a5?_GYBVunpa;ZT$E&6U;%=f^`MbGucG<XhW&(*J-?{sj`?}Rt!#(Nn3iRQg$
zcGrGs`u?B(gvILcy9uJF=?vKlSM!qUn+<lwoIR*2$J=hQLD!t%j+CWaTJ#H$bQ)+Q
z?HY@A`XxDn2C5KgDNW&YkI^5v0k<Um!unb@GSL7^t5*)1)RyW}l_5D}zn>5P+bM+k
zD${OwLj4c0X5XH@Tqol#Z0)}?LWDBo+|`lEPpP|<-k9nN>6_7)=fs3eIGqdG?(;{+
zQ0V5xG><{@6>`U4UpZC(HBqdC=z<OM$EV}3?kZ{L&g&c1o~Y~s9|cwenHOhM(dpLD
zpFIC67>d#EP3kZ!Dl+XN?Wvzf8-`x*4}JCvodc6+n-nh-sNcR*mNqZVtH{~Hl<-2G
z$4BzLUc@E<39ctQXUopA^1c+V1?3g_fR;X+C3Be5h8}CUGk<Dq+*+0|Zd)tQzZH%<
zTcib^sBeAxQABzLknP*N9oDoGQ7V>^@9`^Vk2h*cp}wO*o2vXycw`JvTRkdF=-f*Z
zsJ#pp2wM%1k+S^Y^TVBCtZbo!X>nQvu0$>)HK=yxJsK7Mp!5KgH_v<W?K<g(=omO`
z?3T&xvhmBvC+FR5pGVW0xP!JFR<TXRJ_5$(=gIT)+t!nPfV&<x$wqM7*1|W<Vlh1B
zu9<}e>pt&TcLc}9FLm3(S+r={Kpbz=NOt1w--th#W!(|ax2_7zjBPxg<<t0$s5SCe
zR#^y|k@q!1Kl*gpIWzhK&q_BzBO(%#(N^@46SASJJ}NfbTJ`(FtUE0WysyMaz^=I?
z1Hr{R6N|1UfK8cuqm{IfdR>@#v}%Y~L^`L_`Y7m;qBo1e?$3O9L-%P1yJFI|mjTAI
z)H7(?*o$nmG}?5rXOi&Ulk?r1vCebcisGBDc97BT{oR`(8TH%L1+g;;`W-FshLM3L
z3cflDw9vAF`N9iM(F2c&_Lllr;7<>SG<<ZJ(d)B-!|e1&NEZh}>@`OehrU^K)$Q`>
z=k%vH_b;Wnz768fZqfw{^pe?Yhet^sD}<;WdBW~mmKA!pD|Z2<lg+iliE2!H;k+;4
zj5{+KwA{!?{1oPl&<1ydP`5w`3<CD3-CZ+VKN)WB>QH#2`!L{*^k2wV>i%&U@#{*L
z$2_30P~WLwwDN0)lf*G6m?eRI_jmKX^vVkCtht)B%&+=BSXEoq(#Y+Nmfd(OW8L1(
zoIB$wg8sIOw0k<zPQJr+McyO=Eq2dw9dWIA%FMUVW8keYM&9Kj4FsA$qG_W-pucC*
zBo(=E(dl{~-qF>1M1N?+2ap-;hBEHQMgU$y@GaBcY2W-SVb_{57jjNQ9s*0hA}E&h
zJ{1)t%2BePw?Mu;o6(GDnpx~l1x-wwUThkZkezg@7uk|;OLv{^ySr^ssH#fmH?H^<
z!@@54YF7{kS8ainJn_lnPbr#3Auc`fyyt(sGC?0csB~40sAK$!XMoe;Jn^K{9zcB;
z`N|}TwF@zmd;MpoXWP?dEl}6_metJVeooDfZ#TuSOYDZ7-N~qV*J*FW$Ot#H!rb8=
zz;ko`lUL_%cU-{xajMLe>$4&63Vu9zY}GK2?YivVPE$R;s7OtH4K@3bT>0L>X=9yX
zie6BxzVC@sm1)8Hx|2<dYKU)7L^LqPs$<eb8tN#=8~6Ef^p2II<W+KsiN}m!HaGr!
zn&d_}1+ilkvduSn$FZ^zd^?!Of<V&Vsw(u_SH5&=s+V^5^eDy8y)k3z+8hd?*7tq9
zne8J+TdOx8IFmn1__Gf9i7N2viy3-UZGDoa+T}`E|3MI4YBJ9!U+0|&VB^|(A1w3g
zy<0UK&#crRlGRwv)rG}PAfv7)cbhuj>r`*4Lk;i3^r69%kg1<5(>l(zikpo2ktay&
zUV-0qcV-X;$?<RO{X-OCGE$E_vI{iktsW5>^E>P@>-$bNU-R@klUZ80P{kPC0zy>S
z>F0_|8vtcwtG-z{)30d~0M}LI-${NR{`C|e+C>&YK789n_fY4uet_@mi2iT<y#Ln|
zC$y<2DqK)jcK?P9$Cnpe3^e)FQ^~pKIj_{d+sq4KL;G^-JZowvQe|a@+N!l113-jq
zhKmc@;J|;Qy2Lttm+@I5pQwE5e13Xd<fM}Nw(;grO+;hj^fdS#P*Bg<zWumAMWJ(;
zgtl^O8|~OH=VBP9Jrz%Hu)h8xnah%BJ6!Ps$KA48)J!<Y3Tf}U?0CA9ni{$GqhI!!
z+46NzW20~C^>5Sbykyz0UKOeK-MneQBB2;RX}8e(Lf9>2DWUPxr{AQfB1B^1j9k70
zqUHByioRrW(r19MT7Vi>Q2oq)2b>_Oy^+Xff8ZeJ%q=P6WfPpz-4;7J#W2K<jygD~
z$?qz5Yp5+An|y@s@1A7sFbbBKOglUHwXQoOvFU1E*fMEWS=<4$qr@8|sChnhYcJ}M
zF5GbrI<;J%N&xKQRn;$S`&5AwtO&XLyA9U%oX_())kTHfz$6p)OkcgU`&DUH^loe7
zW&Zk^<$YWbyZQXdfq3&hLo54`x`R7Mb-RdaTdmcvUE2=SLJV{fjY&<so!Q-Zx?|&G
z)#fJf?N6Q;At(5`9jn6v?+ynYMoCF!!}lNW8YQSd_-jK2k{vJy1=rq&IMyo5+|SJm
z!c`q~2GrC6D@(|I%V<ljs2mTd0t9Zik%3E&Q&O!g-ess6H%sFXlmC)K@{XT=+l!bL
zL<`~-u&Z28uh``U6+?7&N5coJyudDeZF#p5qh2}!+4w<h#_L&O&r3>Cv3)5m_m8yN
zvp1w569S<l3Gw8#vPioAqk)Z1nlT<dqRG}{+Y&&<VOL|e;Q}%5H-PNP+ddnDPx?Fv
zhwJtZ?#UrfG7hSVFOs$EYqSpMDSM4CIjfEGHa|Ao4obE}CqLN)TT_I|`6BMSUn<F@
zEhSKg4l1@4v%MAxz-M-f>2SwW_@zy`7H1>`EqL5h!OlW9@J)glqN>X?kB6okx60ps
zeg}LQbewH@##wYQWY?Jyc6t8D>-WGNWnZV*h4FFw^$l@^!u*rHmC^9NBJb|h2zj@R
z&kCK=Gc{eEV~F#>kE{3z;(R+GJhSy=W%9+wq?f#;q}t_?U5%yN^&jOP#h>qCn<sLQ
zk6%0d{J?V1Sflz>x--}}aD9AC^{Atpt!Eo(pKQQy9~JnGdaB?zAv=5h>bpfS&uG?*
zT`w=JWs|$)P<EB`;U6*B0Ka3@;GLmPyr(O6F32gZ<~_A~@^$8k#D%)+<@Y`>paeZZ
z8mX+jPA`aJT2NUsw-hQLJOc^5hDD3E-cA@LA>Sk6ja_B7p47&hDT2mYx2kuH{qF-;
z$&px+Fy62Q2C&*~%p#tkcdbQSIgL9*CsUQyLs((4X)H+;5?b|%St;nQGF*<5B8tzn
zh!c}h|74CYY{3v6S8F6X|D42Q?4VmVNF{kZm1n~rxTWqor<@I&NPHQv8hqhre!oH6
zYRr|7)xa}3ez9+$37YuH<U>u<0I=8n<iK=GJ7{SqXcns7Qp{Od3x->`FJI2BSS7~>
zc(pD+3{xlXBph?d_jf!Zpm=BRx`{{amnK94>DRR4TF95|?;br=Q2DNgw@Tx5OeJ1<
zCBa5*JNn|l71~L3KVZ3(b*;VWfz&iy3vS29v(U`)eiE+zN<k-8mAp~|46OYmJzA&`
zd@1r@GlBNzo7KZQfL2h7Rk`JS=I%I6I=p$6&TIc`|9C4yFyYOJwD^<ebYAl0_6v%`
zS#{M^c#G?Kh$>Y9kxGn;bg{VU&d;cGl51+;h?X4oAJLv(msq1kabpCXgti=dwVs$e
zl{pLU->-aq#*4nY26V>HXSQ_^lAfdC*q;E$;U{jAeYv*xRA1eA`h7C}sbUA_l`3Bg
zMP;7s^89BRWhwC+wHOVVVj>uMZs_l5s@|P5Y0Npzrn&P13{w&}QLr>99{Gh3p4aP~
zzDz4z+kW3T)V|~L$oSQbH4UY#3v(y2AvCKkdRO+F|8^^F1i;e$TTp$PS8SW)0rv36
zMveMvfnZJi(`H(0Wd?a(s(A{ekW=U>dF`8>uFE-HZJl6}VOk^%B*i@}@q3W3!FPFZ
zhQKjz-n{uHa6ZH}oTn**x{Ny682Ji3E-bX8bC+0*A>B};-3mtWM_<3dYhnvVu{$@d
z-SnoPxLInp39!i`BRz_D?{CyeXnQ;O(t~kB`K!M=Fw=6rodpwKXUXpOVEpZchr5eJ
z&DMQeC<HO6`GfB-GSorT%pks%-?#8E_8#t{9DO#&JhgEAjuBzvE}(PHgh+X-DE_GO
z$!&Lfp1d1RUl4d$^m8J&jXtiKB1>#QWh-5e6SW(Fk|McKotZc`tp9K|`8T(i156)+
z)9X!LR>4?c_{@))cC9e#Usz{um%gIa1<yze!aqq9T}I<7i>;q`I@8bO^YWQ&*tFVI
zLay?S{ah8GFjv<m95e{$h&H8z43<u~92$I?7&h^oy_#>WkJU+h{w7*U<PA(F(j4v>
z3Dga^N4?9)0|&7d99Rlju3IAgp)ic9cFUzPrq1@z5j|!X1sibb%@5;ah>EB$UO%RE
z+iGXH=R$kU#P!2WSaTQtN8Vk#*jOy_yXf;<61(=tm$kxhn-2`@ohfIiN0C$Xn|SD>
z$SP1Ev7AkB-~m6*obQb-Tu73tK0TKhK>0xRBB#h#?$tKKr>L7q_L!78^Xiw#tF;(j
zZATggwcQkHA~EA7MUg8lNFV+ZBgqK^pRrV*$T@u_l4IPI(kK3zK8K9p{4lt9@>W!f
zhPeQ4O>CaNw<xr4(-v(lFfG%jx}M9z)9_m$%cD$%wQ)A2{o}srm&9MwVh@|mfRm=d
z`*a0Kjm(~8o$<qqZMzm2t?xNPZ<syRH?&?_1>x?mYPHi!swHFXQ)u7s!nvPIAefMB
zceS*Hi*dazYO7WMoDw<X98KR#IL!Gt)`^jz3+HPYzSN-^A7>2gwjleI<AD*?4qC>!
zHjDak&By6n>63@Mw?Npox5|M3(XC?%UxdP6sMPG1;AV+Q^IW?kIj|XHD#z3ma%$zh
z;9?-eAl?4ws3%QnCHME6G__Z*3=tESt`D0U8@Z{!O-vk5V-D;0b)PKI51V0#EpW8y
z5nN|KF@-c-;BuCzD^N)^09T?NYJD#>K1aSOW`e2edTthpQ&g&i1F@5EC8A*?x-;e#
zZQVW=vnVBccPFQSZCwkTV=a{vLrb%ed0@|zC#qIWBl)|9v_mj;)1NX+PYAtNmmsWC
zBR%_dF1Yq@*ns}-FYm?jeOo(r0e>s+h!a99_RpU@w?VA7xc)Ec+xJnHq^nh|%mriz
z+v4Xs-tM@QhMmq7AbOTyfd94$dA!oaBq5cN2hlUkI%{^%lQ2A;sqSAMlMJY0XB+lD
z{V;+NE0%V4UNBLXLq9b&6?rD_MXIafFwv6H-wmXm#m%gu)*I;5E9;Q1{B_(`x?P+3
z3_nM^Pz8E^tEo69v?`nxg@4aDLnXtq@(#t7B=jry{(S&7^fO6z<Ej1vjSB?5qp|Lm
z{w#XJOVBb;LEwkgARO*iu5m0RQw+A6vGhMs1K}6aTX<io$I$CtN1Rts&u*jcQatf?
zIOqeLU41=5G5Q7U9+)wb;Hj<DpU`)kb-9FZmK(10=tio0(8HqUt)ii7(pAfbY~!cy
zSzl<q5MzKZH(dn=aq~^o0dziG=bHND4n=-{EbLv;W86*ce?m)#o$o_ram&_DX_so2
z{V3tZ37(}M7rK&9>H~a5i&}RiW&4JkCZveA6_3Ur80X#!ST6=;OWQ?IFLB4NhAbPt
z{zm0;`aNgdtK|58EewwRN}wMn%DLju9}Oo>fYkdtwGU8g6!W}`^>K;K>R1o`g|y)K
zErE<Zdn;SH-CN)tf3=!r*Za!Mgmx!YUKW*ToM&Tn2*0{mr-HQ-hgd3^5d>HrO-tP)
zNZA3OStp2HFv{1N8~im16ZTW8$K2aCC4NM0fAyvJOi4rPPHOB7&;F&X$^<vO_2WL^
zpy}<k9{A9<rK76!-#IWDyoYB+3K4zyz`zv|Jof3<KNYL!oy%JBTCw`B=SyF#nVr$!
z?4sJ^gcuOixg1Ki6;BGOl67U#r{OKOoae>h#{OBquc~*A3FjZ;m5n)^jy#r~VIlS}
zfmQ;4z2pkoMrKY^OT-?wBLP<A4LDY-Wphm+02n`SiWWiUQ?AT~Ek;ZfN2)Wg8FNY?
z7@|0l1w<3VBXyHKo62p#mJypiz}Z4x@s+!WkHXXnP6Jg3rxL@mv=u&L5FX#;P$Ath
z(}n#hA9?cigH<li^rUeSO*W*iged2S6Zvs$7tf&UekOC8s}2A*rvIR&DVH_SHnEfo
zdFunwJHQxk6il#|3H^>UAP7?Je{}gh&P|F$Ed^1;e-sD%s){Xh8P45<(t-UVf6;X%
z#HoC>lJW077ImQ&`Te-!!YX9?@Ybv@ZE>@u^zBn~WGhrR(uOEc89$M8@(a!m74NQ4
zh@)MR6#8`pG#TEv_LsWKr<ay7mknO!^s)}&tW`$7H0P0bT`dgql-!vqApnEJR8qzS
zp}13Ae?R8M6s^PG&OXA`r1VIxb}XF3pn{r$;E7?#o_KWUm0S`PinA1JMXxL}I@Eda
z>D87?O8Qw5BI)Cj!iYrz0k?$|Tt}b(;kmE?SgShThZ)?yH?fx6ksC{=LOb7DU5NeF
zu>|Y(-0AtiirTcjpRN&+>qQ%=8oYsY36)X|5|-(I`Jl|x40_xqDt%QR@A=-}!EYk&
z8LvG4{*Lyl3vW42MovSpfIynF?BPKyXfe>&25vo`*6`Aga{msT@Hu$9l@ts7f@?*Z
z!%5&W>=nic%*6*QUXrsG+R5{qGORdKnL>V+<<0>6Sz6PLoVt+_qyDYM148H9v{WjW
zBF73qxuQ0U?;Jkl51=2vWQZ~*{z2!Kr|;i@ni{H%!lYr;i5I3O1Q-4iZ)Z1Dq$>03
z!6TCl_dJ!>+viUI421Chr4BpYlJ;)rE_1V5TmjlPQ6?(1OU+gxDfn{@S+=0SdisI?
z!Yvu8x~iviW361cMUX!2Lguk_)D%T9CoX8RCTVeS3qMh82Fg*TXaJ}sUHRm$^MEKf
zH8#~=Xvq7Bl+`>Z73n!U&4v6!-q~fX8<ZWe%S2606P5XZOi5rm{=e6q2b(lo1!vQI
zH(aSwSsUJy&&rmkO@?!XNHWJ4jxYqBsX`^+GS>5q_q)-`As+5$V{V7iVqSJO=l${a
zIL3rn)r!0bX62)4xS(8n54{qVs1&bn3&CfavEUjclB(fNX(au`dXYXP;64ypv=ZB}
za4mqjCZirV<#l*Y=m;UiSr+T1Qx2Y#ul<KnBY;(rds+*7`_HKlfm$^EU9b$#Ih(tz
zUnM=l5!*z)dd52#mbWwR))WC-8qD5cXZqO&ONBgvgafy0HtH|6!2z_xsxlj-xin=p
z#4x$s_qE=T;ZvIhJj-%vAfcb01(?+Q;V;uq9QPuh<^|YK2z>cy-tC|BVp9mU_f_;a
zftnEP9H%YkIM20zbttj^o{1;w{H9PhBDKJVx@C8TP17xX^)z^nO0-LLRQ`?_$y$FT
zW8~NF(gl>x$lI@$X2Kgu)4zr?xm)$1J`AHfqI0%$hEQ54_qg;Zz+HS!Bw-B><UxBO
ze-16yH@AfubS#}w@4l8Wzp1&z2vsMYzo0`9`z>r2Z~W7t_Z`NvNwoPK*KD;r!R<Q`
z_>rvj!T*L<>aIl~zyLY@Y#L;HL-*WIVD*U5uCx~>Tx<s_rsKsni7!4MTD02u^-&7V
zIK8Tw4rn4K9RCcoA)Jw~C|}25)Bs|%^qt68Kow)B;BYA2_aBjOke5=k7m@}s)5XJX
z#M>{O7uoca*B3VanUC+vn|u4`q_iiUd#EoWJGfE4p#R$3vpnK`skRkJSOtl3LVU@|
zsY%|&#AS2GHG{LXZ;gj9KrGgzD*zsP3?G)P#ayp7*77C6Q9u=B;-ZwOD{0GPQtsCa
zt_sL~=#_J&ktm=siwps;NG5#*e{p;5s4kOf|5FJm*%9$x)n(!qbPj1_{Ev<BbU@~#
zSn_ZGAV&EG1Tdeg$ozY1NC>VMZ)W8sq(KDpT;2s4)(D#uyqE+wiNkn<$G9)O2A3GC
zvvQQu;K21-4nxV@Oe9_nJPB{*7;cX2L3L6d6Xzb-?lmFe*}ATcx-Hc0nn3}mpb!gl
zP0$y;bbXR7WL~ZJWD!F4A7Okhcz`ATKce0{p349KA3x{VJIP*!QrVk?Lb4Uf=GbH%
z+4DNcjI8Wc30c`3Sw~i~GBS@<AzL;F=XV{i_vib&Za4op*Y$ipo{#5aJs*$z<GOBf
z%?k-kQhoE$yZj%h@Nc2{V5t|fa^u6P<pWFIK1F~pu?=Fe9w~p@)^g5b@vs7&MWVRl
zE-XuM@PKu4;^wcQtx?Ym!k=XX3}I80SthS1YWS3!r8r|gnaA{{LU|AWE?ugJX!Z%u
z59INrZOARv`|*K7|F6rP`O2vh!j0e!VJkWRgW%(9Nze;=6vy8o$5ygV%I0gp&9W!g
zR^nSR0xf@%;*s;7W^Qi=JumV31yW2q+C(6RA1H@szW;Ue8NS4R8IjmR@Fz-TWedtP
z*~%sp6@siQ*z~kj&i75Qbh1EN+H<EScWr~vX1qe*juHK6Buy3?4Zr$l!{+(dN1K%(
zMzrYvbQ+LU2FSK<K)EVul>h81FWga{{NF6~%%M7=j)YkW%3FnG2X6mw?kl%_M#kDd
zko&@DXXXi8A)1c}0nA}9T4?s74h?m^BoK5==9Gv~josV_FNs~0iG2Q#|HL5|ZxBK}
zwSgJLWdyDT_xFH69F&RTj9&VhgHKP8&66AZoHzomdIh5UWEk^^|180W+hN^bTiUff
zWiV7f2)jveZebXa{~NLX;dk~$`KyLuq^sf2AVW8vF3+FgHfH^@-*)Bn{L_(}6_XRo
zhTXmE`|f4&b#q#A;_B`J7gKJT*ly<!|5)e&?yyYfk;eO1!eZ=xRz_!a@+2sEr0dg#
z{e$FpM#cOJXN>vuO{RZe^GFZ-SYPKzeAZ*%Q-`MG=-mIHG`A=>f6cM`&+5G1Pz55n
zP@W?Dd8oI-N}pIS;S7ZzrlF0L$t1M?k+QP#$Crf!N{HlwLZsG}R!WchXSD`g_zS4k
zyX%EMPe!XQ9NwQ9B))aJw1gH5J}E+fmUBJ|Y7P8=KEy;nWjxu<=BVexKS6IzHAw>t
zGrjOmf=h-OJzdR>jsmZ5gT-UeBc0>j;cS0`zz!h`qz3k-FrvHyYeh3tzGthU9h59o
z`f^PQyZiC~MiK+KfXQ=*rXmTG_WE~coA}|mbZ-<;qd1rQsALWTe!nauIExn&$UtIw
z117gjTKijaf3~uv>T&*C`ul&QBxgeHDorFA6cs*wI4J&ppaw2iS=rkT9A<m9@0s@b
z)7ECr$yEKe!L-Qz%Gsq>wro9Ig3x@Lo<e&XP_bWWMhjlWq)uq<o>?5xgTEualTr)2
z2PvCb_=QDnl&P~L+zxGB$<yLbcjILa-V2c&RL%wj$=oQqXlON!%DOHA+n_l6J~2Ps
z;eE+$u4Q(Z-L)s1d{^NtPwz3~$EPiRr%Qqvt=Qhm(l;Q=UQ62+`f(vE2RKWyBXG{z
z=LG1xaKat71VVFS>aRrD3j8?A-pZrxh4ZeOp|cyJ40jg<FBz1gw}uSxS3c24J!pas
z9`*^?z;+#1Io0_5C%4v7!<!T@*OcIQEBT9p2@v9y^^uz~;38BjUX!3n(3Jn^iTiIg
z82%i^s$WtCBz}0L5!gC|bV4R0Rp5M;ujdbg-bvWws#?#S$fnKp-vx6EQ>9r1zqJ6O
zH~0EqgJXT8w)}D9$`)}U_1A0ZkV%-gT)%(mNDCc)z{DJbVuGzK1b5GN&yuYU$;>v<
z=l&Yp<G_=&t4G{<Qs<8^*X6KC39r<-k&FhYK9aVVp$+gfMnyeS1RsXP6Lf^Ap^(@Y
zxZV}Vg}&Aevan!NypU}W{(?@Hd5YfZq&kHxxmAc;udkOf=az)JsQqfV8M`(7NckgY
zlu)5RopQv6x>F!=ulmvBnDNlQR*`oj?5mH>VJZX?sIfUkKiJm7g)eR@{2U0LIT1A5
zy@z1m(O8JPnxls&?=<^i@(s3#fUIhwPsI6TdVJr;Cwi_**li2LCsdNz99Xo(uNG@e
z%dEIM)$4C}8i!5vpPgu>Y!!ig_USj)+(a@3nDp)Nj8TQE_NgRUw1o-i??@^cjrN3Y
zYap$^RL(0ebcr4nRFsqeo+PL5Z=aes=&h;g@!3k5ZXHXYU&3$s8{Y&sdxU0c6;ASN
z%enz_r&7T6B+20JR87wCc%Kla#SfXoqVlx^#>(-cOh)*sNWQKm0@<!9`EcEGplZB$
zrZxD`JY}mCB*~x)==*fzY2kE2hvv6yaMSOV77)5POLfx7niL>ksHH_9<)y`wpIz~H
zo(8NV!Z_8v<cEEx-S*RvSbkCN85$CX#aqtjH(kGusfM58$>O?MBMn=0hZAFCo>ykg
zeh4Cu9ZB2&P+l{{&a72HEg?Mjs{Yp1r2=$%3PUapELY9S9DK3TEt_U76<!zYX=6U$
ztUV|ygPq%OU|#u^np!&i#?^@CDBA)uBl?K@?1hGOUw_!}(Uq)A^S7p3rfhk<=|v%3
z-VagSe8J0(P8$Kq)4`Lcg$jH~7vkiu69$o|xF6fMeqsj4#q4Y2H&J~dr57Fn3v)jT
z&=<_1JSNjCNNZ+RC>4B8p9ArZ4e=rEFYQeLln>=;mAEL4tQQ7Iy)`FabkF#nFDR~D
z0~NMb1J^02#>5&<ARH^4Iz$MiC|`2rf6WE02}35LHO4C?YGWPa5QspLpD9}bsm}^z
zuUFUbNiMWf`+~5EpFT&UdJMh{D8e*tJ7PrSyd>n9Sn%;r3RJXlWa>LDytb@L0N%t;
zD4r3pnmV$~O6H$!wmA55)w_vmZaH$>X^^hVPD@cvGF>&|43T4H)wA|5jR(0utN-(R
z`VZ0X5rKpn7<5m_Q(`N$>-a7$KS<vm@i;M5ja9f>rh5(~il!EF5ge0`*b{Jtjl&us
zO)DEfnZm6c?V_I*MGB2HoB(XW8oeFj6Ec97Lv7bTS$n%7&rWj2!YJFX-JnY`Mu3B4
zA{+|=O3k(Xm>huM;tzK3E`nb8Bf7N?-HVE4aS9CJ3u$~{@3;qB;J#oPKV3H_&(^rb
z?%min`Z+kS%iQ`#*VzmW+E&zP?PwlyMkW24{dSOVRdV5$;)MYl$fu)v9z+|C5+)Bd
zC1-=NLHPIc0+2KYA0zRSHbV89d*{15oCJ&AD~FFB<qTAM+2@><PE6@(M~j;@Ws!a8
zAT`OWGy68@pn2@wsmz;c(-+0Kwr))#XqfPK|2imV=AOMe%n9luTv57C{H0WZvbKh_
zRnFSPuO2>d0Vcn{MekBsON+fCAvIz}Ur6?D8Jd5s<SuL|{Ys?LMvlqWS72iNbDw>Z
z)wgGYb-L$*>zekGDajdqdZr!_iaVn{zIKJ-?`RiFlcDhtmJ3n&GZxefv_|)NCh8zr
z%L25X&t8X9Bd8I=JN|<ruMt&U&UEMYlCIU$1%A^kKvY)$VN~{M@r8%9>k|aXw82)L
z+ZQYpcM9_e+zAREFSCht0B^d^<qrM2h%q``xa26sgOpmL<8WLov3A#aqy*dX5&5A8
zUgW=QEZw<6NgRRHg3t<QVI-Tb{_0gfbhWQ`uV^9GFES<}9+$M{GCQB^c&jE6@z7@B
zTL?gTYcJmnj1Qazu~fgcUS$eyvQ_fkAR&;r)6o{Vx%1Idn&IoUE0u$Wu9c|~5N!&A
zU>EohWMcxS`hD)9he4)#M6>LX&G<DReOp>614JxDfnWx~J>%9zWZ4Ea{d*L2g%LZ0
z?Bk%d#3KEstxVAe@hC&gi?;0xble4I1vp&_4EjQR3=<4{L?_tv2!e^EsK>Q);%;pT
zyrOge*S5U?o2BtW%vHb?j#g#|EO2+wEvV}rhaJhhNX}m>qi(x15s)5&HrUqgd9U`0
zHB#2S{jdlDTAi<P=A00=xV{FOmc1N?Q~7|GaqJ*hExr=XF#f)nn>##bB5Vd|q-$Th
z7?@T;kD9(1%^Ns(od0v}BEsO^uT3Ppkl?AX7y4dh-DkoFt2X|_Kc=7QYkXJkK-a>X
zL=uJ~1cp_4GGDlEYWTV0ea~wa;wizx_oRB1G?YrtNQpbd449#vH&sa6q!64~#9ay{
ztt8s+$~rz5eS?OAquY_Zz#X=0E<DNgJQKaB1&3)9G&5?<y(pOsRWy|?Izec9FLB9P
zA?bvu%|!q~B={ps2pvd_2+*FzBHht<7ZkpkI*GZy^^T&L93(2F|2yN1>3CJ^h4Q=3
z3nN(!{S$BNg0su@a3%~63t)1;Da?@;dUNxN>2#(PlKcIvsg#L3kl%*O^cZ{z6xmmv
zA7wo6mtfF!R-oBm;>XN`Z)8~zx~Nh5E0kR5{gF70_3t)lZ>0#Z$1b=}&x-I8_p$WX
zQ{f(H*!gyR9Q<nSZ1!Vu%NK4h-V`R$Dms_!nTk$1^CYPke4U<7pHsO)o7mcO1!kGB
zTP51Dg^unXf%B^xu%_F?IZ_)T<HwlgRP=+p^w-!DF*7hz@<hcv#jQcTBM#TM?*3z5
zK7svd^IU+i9N8J6l)qm*Yy~BzGaDJm%!>;PmkmrlZejzl!Pr(AY*7VHbed!);6u^8
zW9zn<iBCn<*tzMiKA}-5-BiZ%N!qO-Gh|<wC-u&wX$3=HilevdX|;ec-rR5njiB$q
zNrqFkyK7O2TMXC9^h@tz+H?96sAjlkh{b6My(Bf6L*Hq1V6?7KlXfhyCsnyDZGDJ}
zB7MNq1=NUpxmP;Avb2=AMb`9)YMVky+ofR^*JgGvzPgHuQpi}zOaGhLFi-ps#R-nP
zV0Fr%;yr2d>ctFj$Fw9lQ1Z9#XHThcPygK!+4DvM(SMEmjUx|#nz?hgd${!KNzJ8&
zs~Gc!*dw_6eQp376+d2W4;{ZW)jk(M1s<~ZQUO;uH~M(*$$XaeKh0Uj%8$l0b}Png
zu5cpUcmqio%i1WUEZ44@-pggTd-Ljo0WnW<l-bvXDspoyM=4~RgcMDMT!i4al_wi|
z3mq5gN3sDCUge}LU4Ut!r(SEG)i0+;>`B!Yezl{Erj~fcdQYx9^I<~u&xe)6rZNp0
zK*bCgAMQU3w42avhGbW#cmInB(nNO(|9M6!FupS@+%>9CThBxA^?K(mr4LVk>zNq7
zpllwsGW6)uoa37b_tY`)aJJ{``FmDUR$cSJr8SZ(oCEUF>)MQl8=rS>@5Tk&8w%yN
z2o2diN<l=<#h|>-g}A_Ky#{mGMz7EGFmPnFA(8qe@6Li43boaPa1#q;JYt0l2!{XQ
zp8fl{>l!NpCqE0Md=yJNT$mhnuW*PRDsE$x!fu^E885o@H@Xb}Zl_zfQ+q!2siAcs
z%Hnu9UQTN&$q`@g9JEa*c{Mje;_+`4`4%evhKMG$h@)}yfYH*%o|`Odob?F6MwBI%
z!?){Ty<XOxNMh(Sz|e6al05m-G-$nW&OuDvlujhky1Z&$RMOOyjC{`NvDza&Nl}&$
z6%8uJ7D{0jphD4{9%$;OU8GLrzt^C*rc@y0h*35j6H(=@el7e-fRfqLN71~*b*V1K
z^NU-+bei5BmxO&83+?N;+ef5;AdT#kog3dOVKXD{T`SdVZ;qD0HWlhOy(z61y+(a<
z`k%LJC!P2|7M%wYNI9H7$ArBmLy;jkiHVhrRvz4rwj$W7xf3LqlS_zUOj;f4Ln&Xh
z73=_pc+IF*VnRp@llH?gHilZq^DV)Vf+U#y^$8kHXA|6gDAsa@3h<p~ot!be2vdFV
zt9p;O^K)~RS!U*y4}}%WN#e?@o2^FH?J7#Ft?X6H50s8GCEC3!?igge6YSiwjty#%
zptRuJX~6|2Z_i^&&FI1CsH8);`OAlxTh`EyN?|qrsM?`67e%|mG=XNvg`d9j%(HV@
znL*4U&BdM<lz}u3Xh7?maS6%R(c*3cz|M&6liPkAl*dtk*xDC@Nc|aO2DBX%G91f=
z_TsKoSYvx_MlWJnE6;*VGv5xXY$z?Yj#^bzCFmZG{!+o<2&Hy|V6LL$^5v6idI0rV
zS=dls&EYI5hT!aL+EhjMT#lEfjyTK!Y8@hiBE-r5#!W^8;2C9K%saw@DYmJC(gFJv
z&TqypVj~bRw}+iV2cz}gi}ZA^T_v#cU?i;ivZyamyk_PC#|<zAJ68qSj?~Btq05M|
z#_-S<u5LC5Jv$oK2=1~v?skp@&2VgeVZX6;C?m16`e*TO2hXO{MfAY`VFtiyjl}Ge
z08!ctQn+3=8)3ijoo>QZGZ(bHq1~dcE943NQuyEGO%<hW&5`8sq3gg}DlZ~rJsBa=
zUS&gkL5ymk#IdKrzR0G+gkX`sekC`Zp5ESZH@(6E*Cts(aY$u0O;^wmTukKc5lxeL
zavm(vxQB_yZsQ0=xj*k2h4i7SXk0yk!-qE2;bX9ElC?cHf)-p3LqJ^kwV9#PGm)mm
zXd?q?B-9>zAb(Kkc%$nL0yjimPt|jNL!do~S*Y?nIaUM>!!QOD%i*e3o|wM5dl?|t
zxE6;F^!y5b`>e@RRFdqLXG7ZIqx9JV1NBl#H!cTP7NXkDuanQj+{~9zzQBF5=GR$o
zSKSKQ-dyle8ren>rj8L?_dkIVgWyWmh&y!3<3@eU@9qT_l)UI%Umizs*nsDwyrUMK
z%0H|=yVnJ;-|HdX`rL8+DLEvooaUlSVNm_lyrh<QRa)gxM)cuot|4h4Q`#W&yd5cJ
zXMtBe*Z|$Oz@Zx`IV6K78UmWQI}0B8!O~35_WTYTVT>DtyhMSl$Hh1sCqnIaLE6}W
z5PcLp&~>_f0@;X4#5D3FxCB-Fubq%YpGn)d=*~M<O&F?Ho!@`^hVw0kw0SNr_?c!g
zuNFJ9&!d*@i2U*UthJvux%cGa1N=vl1Cz<?@#pb<*{pa7F_N7UC}egPoAg01Jui@5
zwUMlAu{nV^!2@`W1zUE$2~%=*7dc1Y>X6E0T@yP(MI^uYY>r?=%B`1`bp9w=h0B8#
z&`QRg&+Qod*p}AQH6p%UacJ#OM=q%~x3FnU7XORul{}=O+xiw>=his~4ONS0a@-Lb
zRm;k7!qms@re+?%0F{sZw!Qs8iPp25Qn2XB?oNcqdbyv4hih(7d!)!A4g8|WZi{Ng
zxj{+%#rkKIYg}B<{3|V`EE5yrjAw@7E^1TH2A)|<XN|*Oa5c)0+%LMIwLW?3HM=vP
z;k&pHU^VDRV$^R?wM>ZlR9OeV7<#pwI@!G5fR$>1U#%GeuuQk4S<@qKz&wk~t)|xp
zMI<?BuFi~05sdYlJ;~WN9iUptqgn<f;!ahm+i_5nlkC!4)xOpyV47v`CMN!XY3C}U
z;l^(ABxXH#^Y1ihj!B7G&AyW8ZM!o-SB(06DYqvR3M3aE6W-_eIIS{sSO=FyCAPEM
z*4~z!dGr~WhZezB2=tIF^?BP>w9>><R#-l?C+6>x53&d0-abDXQ~}FJR{R?2(EMsU
zhGI>pxj)xlb;FfwkQY&`J4aJS5*)4(mXsyJ9nESvi)2MMGYWR~x*_&df@{O-C4Yy0
z<NbB(rW~=4PUF?IO>U_L^WyDVUQlF2&hIn(;D7*f1pn4%cmpB?jJewwhvQ>zd)Ln?
z3PL|a4||Ay%GNMe5+C2%iZ=se+kaq*Q~;LNR`L1sXV?9|!&>xPNl~f_9s{<hrz+O&
z3Wjr`I|8ICUpALb5WNKKIhH?5^m$pVx61t1sl40PsgVuVUL8k&`AM^u3AW-HFzpd}
zz^BILLItS!kPMEvtT#vk6(@37J^540JjKn#L+P9X4MiEeX1pfdbyLEF(bVLxq0>pV
z2<H2tLcef&pS6b@s`}i0WgfQ7AA61%_$f7~_s)U_vMpsPEF+tM!92l9!By_EOnIQ`
zC&~xpySsn?jP5=-f~V(hXEUTujNOz6;J+GN`(y-F#ajZ*9?x5X-nc)vwtlkS|A%?Q
zn}5)wYYzr6M1DYk#8BhH{j!!}xK7MK%fG?;dTp7TNt14W=G_&Z@5R)qL}s1rrKszj
zhU=F;mte78Lt?>~WBCLYk>IuMX@P%9ig%`v#p<sMw^Pyib<RuoI2vOBgvl{Pg%%Su
z4Y%~WMA#ojd-}Z!=o91~dEIoAWnzBP_vBH4=MrkI^fORqw*|8f5*&IaUTqK3RJi#&
zY!mXT**W$^6Qnx!CsjqvfZ3JKOeU+?lWRX5${VXss`t9RNB+PTXo?+dh9)sY56dKs
z?W-*Q%`DgTxBmU1NWubi;NXpQ63(-;ONH~gP68H$m6LoMj~J<3+S<I5!;J)od|L5I
znrPO81LK3{^}Mx@^Ddx%%>N-+a0|CYc$T^P>TfJHd<a>5vS3T_n1{u>?VH@^g4J1K
z&Tp<&>7&+Kl+k#yByW{e*_G8T-*xJ!yyikbV=mHjjjw7O;NXP4Y2S&xAu3WY@^lkd
z_<}Mq8eP|!iT(8rpKeUdF)r5o&bH7;8a~=<qY=L=UD<hl1^)y4^gHhBWdy`c&qNEE
zH~8R(N3zY-HIm*3&X)Y$^&%v5<_)LedLr3$YK4Q2xgHm+hI{tb8|RiI@}>csT8%P%
zGdZw#`2d-|)8|I_3-1&P24~{ndGV$T?(Q8(@d7`_<b8M<$W?`67s3lLSBJ)l4;9B-
zHOlZva2~zb^5#FQKFlOqsn_pxb0Q9&7RQDHQr*Gwv>NOLn3OrwpaZQT9+p81s%2Dp
znguH0P}LRrDLR`NUVid<^%visiBKEDCutEdfGA2=yUrarRZCV>*4VKpeo}9ZTkKrc
z7?OLpT*BE(3SY^V;ISM?frKo6S}S$?_Ho{Q)zus#$oI&ktKOhrM9xyv_hT1aY4CI7
zEk3XQP$IGgqk9*!SMfX|zjHu(w6C@CM{rAFI8Amvb`URjNe1cEcWK&}{t#+D2i7R{
zggO0hxalY?x;?zYMuZ_jN(4adjh$Sj5*JdIWe)gE?DBjJ<G+|a&=Om%73bVSJnpbP
z8JX>@ch8!apB>E9&)WWRUEJVLIZa@2{|}A?GdHwxsPqGITb;f+yWjsHocBLF*1wkB
z@JKCrwl)vpKQ!?2U@YsMbzL3;XaH->w^QMfRGQkGW!gpYsM37XqXLK0$-@|#LS9AI
zG9uxSjAvW*mj_2rFsY7f6k=Sw<-4X@K2Ni7c=bpL|BJVwR42l(lmLEZ;c<0VNx!^h
znqIce-W{tq@e(3DlpT)faHb1#q^*@hC?F|en&3m|XTa0?T%oG*JrHaTnwgm8h|}@`
zssjQ1U$pTEUEQ1QzsHpl2g<Gfzf~j@$bPUnvS%Dk>n2L={WQs%hQKwSq&1b_D!a&;
zUwz4GL-NjXJ%T&L3|w1x+{pG-ry#^+CXNrK_qWx}TDrOXu5cvOaKo){_IcGNy@#gG
z7!P+FfpOJg_c9=JaKyv1rqHta%j2;<P8OfDR-M;d%c{$Ar!$UgUvgKVlFE1fk^^Ca
z22x8EuPI~7>ZDRp{~3^u7cy5r5y@UrMa7#@6^mp9l>~@?o#Z#HY;>K|>U*&)h<d-g
zM#T9d`W5#M_dLNy#cQ$`w^#;osd1H8k6DDtm>|Hj6CHo9(al@p1J7BXyRE|avLFvX
zqS2{q-OuJug>R=*clT#aI8Z7Odpl0oUwo=Rz23}p{i<^CkEg&M6E$3Tn_>Ef_@Nxc
z$;HGf$a?B$O8XbZo|KYus~NuP_(x)UD{YMRDo0{FV*I>@$6i<Bno}q1TdN!oi40sD
z|7^?x{`r?n8Ic2PFK*C6*bG7n4c4!Tb&c|TkQNZ`5C%AlpsEmFZehZ+^mf7-!<$1`
zFJ!~wha_S-5(~f4(`REV{E>@VS(09kx<6}|`vzH^MBLv^!F685Rhsz!8p~{?&~&!`
z@P%*1u|(TzC-oCM8C*->dNC-*vH~C=jcsH?k5AA@3e)*EmDr^L-rLUvH{&HJg=#h6
z15Y4fM)Th3UVY=Jciu8Hck5d|oKDu!F$R+ANdXtERgDzd@jqRPshn-dC-=~wMZ3+7
z>7TVs1+JEfguej~B(#a&Z}+T64M75+xLGw5iV(Sf72TJW3zVnmAyXTWM2~1Nsqwzs
zcW!NV@WW@M@1b~|*=Y)O0oUkkXbyc=!0()}&!#(XqI;58dsSE;k5R9GcZ6jrSTw}-
zl(w^xUnzAAEHw#QS3dYDB~R5HQ&%*3dfGlvx6ISFiapuw_30!Q{HX)q_($X;dKd;a
z!vF=Pu&+JPSTY@cACoQsZ$dhMySOn<`rbE&S18?+jf<WiHw_x_(i!V-`4=hS;g$^>
zBcP=#Y#m-|1*H?L3*9!jXp2KPKA@BeS>p{6g7Cs3VG`&J^r<56rD@K2y7v?n&}EF7
zNhGUey^%y;N&Q{a($;A&;?C;QB=XPnhD$dJ4b)2XD*&)rl(-Os@t(_@TOAc%#dO`l
zLKgS3mR+`k28HCELFc?a()i_@R_=>7s)SF!JtB6pAOeY%Gkg5uiGPD2<1bI~l?^$c
zrW}v)D+^qZ4~L&UgS?#fg<MHIbU!S9AX{?2G$!2&2qUr|)m|N)u%I(5gTbF$&9_Wp
z@G8K%DWD9$s<-$e)Ki?AQ+wQlQ*KwQF$D-8qEY&?ruLFB_^Yn$B+)c<gZqkI+*$o>
zu5g|ItnuOT9($hSm;JL<6T#AXiGbRw90@1GUr7|&<Q+eV5SCTZID}IZ-K%9Xh*Lk~
zCJ4Vw?6Be>5>9tAwzKebxaZJ%0#xrsNJ))Z5cO|a85D`T1soj;r2X6`ceM$y@;+ao
zJd{LUC$;lBnr`|~D0n6TNzFpXLa{6D26JPZ?IHwVJX~J2yaE}vId%Z&<(=}qUkT4-
z6=X{zwT@qSIX$oEv7|Lr6fZVm)-VijTm6#Y&o6>KOLjRcy9WvQekTzqtjKB5`LK9~
zQwN0P9RK4LyF)M~JZ#5a%R>;uithgX5I?l-fxB#U1VwAE!zTqV6Q%P{`}3u7Jz<41
zj9YP3u0+C<ZJsOhm!-Pz6+fKfx~3zVEX8liyG<Xh+I%SHGBy6ScWK<7x<);;$~2J#
zF;wRfD*%!PyQGEab()p)fGb(KwfMo(=}M5D^#|foV+0A;Gg{UaoYt;de3zShbqKh;
zA`UyR==?DWNJxzpA+L0(Nf-#BN|)ExIkm;Jagg-iipi%2Gbb~JB6Z*^2Z|}oS~}s&
z`US_%9!hf2F6%Q}WpPU;KMl-qhCUT7e41yGfC-()8t_7(h`^Ap@yn!#KFwsHoyI7d
zpj=|R<{^r!%0*6mjKK2L_<8r5Zr<D$>I?0>j<ZRd)DFE<zuVOrE0D}&G`k(t+Vovx
zkqiB-Ic-m;F&8f9le#%fQ&cjrZgc)8RnRFff_*jdcyrR7p_MV=BtXmAWPY4_$I1&Z
z6cd`SyJXDLTmM%99??T-PLje!ot&WUpk1ZQjPEYs(WD_)gQ$H{x82<5arxKnn(cQa
z=Xdlf-u%s?^MVfw9?bV6bdgzD%A{}KaCRqux4=2ttZ5-bn6hYbZW4oJCDeVy#DXYR
zvhw1-7$6!qB74PzjS#`u#pYZC0{mtL%vSCDc^FveIGoE*!rfOHO^{7WPVsSOH4Cz{
zEn8c{<AMkZ=g&sx%N>vMc!Nzmyf&j8Z;9hV7R}$$I&{Bm6FD54>~qta+oFP@JAYe(
z!KpoQh|E`bFs!UyuG*K%kO>~ohR<=S4?q96N$-v?eO7%LGju|I1-8>*7euB^GwJCu
zB0|gS7GATdHNt_IhP`S9SMG>5<Nj4J?Lm^^x2JwT<TGAT_n#F%{xDB<ChPh(pgK9|
z^*`%-94QKH$Db_bNY4n4lx(FD*D5uhD~u*v<(Qwk#(W!GXk5uPAq1hQrKP2;a{iur
z;Y~bT)nQG`CTLFp&a{=g?Xn<(3Ce2g5tC}a*|xgIY*23O^+9A=8{)K?))UW(`#o~l
zC=Q;1Eg;lU8J$l&4$8Cc4o7xoQ^-4&pBJ>7a%2T`q@?@}i`r;@UT*x;Ar`bHtWvI~
zi@gb;0XaqK7QJm`XGCyD=COV1yr>Ct=?IBL-b7EKDFA1MQ%A~52ou<gQFa;3oFaXx
zgnw30Lgx^#?e0t_i(xZ(0~)PmiCE)FKoM>uNZ>h}2aDABz{lpX{@Pp7woamHT;vGJ
zo~$S&ZDvn@!FR!Lx9vqU%dzy%+j)CcH?Jr7o9~HU&(XfMlgD7d8N|S}<TFj2Z&3m$
zZ=Z^>#y_Uh+BPF(i&}~&Se`q!E5P#L9d330U9Tti$=IN03{ub^jp%&TS^APEwd*Tv
z<AcfGR)$YKOD4^bV^_bXTlm{^YQ)ZJlL^|L|9O?Z_lhsedH%KkS!;d)cB9Ow<Enn|
z0bT>wzCK%PCilKXT-Zb!0N_E%`XXB&{Sb9c2;#Q*(#?CHz)_uMT5ce%!qXkM|0!oE
zAK3)%yJ~pXI+|@WbpUR<<!yS8*+X@?>ru^zt1UBRuh8>h=>E?q?KBn@p7!{)Dtp_2
z@q|t{(Tqpje%?zNbQ<kF&PD2sUMm`Y9UuG+AJ<<L!F~n<T|dCYJwHK!yIq@2+rYfJ
zn9swC`LxWFy?JgA3x52vxNbfHiEMl;FBE9dOse^n=q%005*OVX_}N+RGRhVd9X(eR
zNVk*vFzfotvZ5nGB)Em%+ep7r{y&I<=VuV+5`I(O!r+`Oor3=>(QJcvrQ2lyD+(N4
zmf`MsYOp)|=b6-pg-``|h)()mF;sxf+^4V*IBI@yNd%XiZuIcqC4^WdGgDaK?_icn
zzKnGWBrSRc`4dIE6^D*%nSF}48NKy>EKGSxKR!BW@OFrj^4f1sx{dbYH780H_jHYR
zE2Ww!JtnKxOL}Lt%muhHqhRO&EnE!U$4{dx;vJ#G&EZu*q^jsC^D3`bGo5AlRq-VS
zBP$1KAQ0^`l*!S{3y1@Qnc>@az$p{So9rOz`DfqZm04%IZP!^8rRU0xDYEj4m1!;=
zsPdQm1{Kuf9i_B;3H%RbS>5Rx%n4&j4xz-rZxwVKc^T~LO@~W~_V4E)xD}+32?>1T
zU31NtH#GYAVC6<@`BgcvybfNgZ(b5%N|71(qL+Y|nRH<dGSH`XL8a2^+NF@>*%o5M
zk={oI!?p=$i1FYrMgL(;*cD}TzsEwyVG1N~ik#ZL@ncODW5j_g(jyg=kTX*6CKf?s
z5^vq{L2?v6Lk2=t-h<o5R7ol2zUqWtMbo09HU9N+b`kxCE)yi57mdN-*M&b(t}uWj
zC2~04i|GG!s4`uU9Q`;XOcZ-7Z*8^}Z`Pxtt`&{lv6ZLVAif{YTJ?4?E%z%C8n-%u
zqhWLgt^vM;hNd452~6*1RV;>L9UE6)v?2p;Bl5Q|kwp7<Wx1VhD$YRS5O*lqC?uB~
zTFBE}74ZVBY(w${+|9hbr3_DbnbqIms};H6&ScXZp#ihUX|*)<D`G4t>U7=E|L{d7
zpE(G}=PNQYHCtv$sY<7dl12FZ8{B~ZgsY1WM0EWRx|O*6I?zv>W`+uhMO1LKQJnD#
zCu-i!GCexpRg!Zyz)$@};3a>0lu13SBVNXY8NN}Y_y9crLBNeLcuLdJNtjO3oBz{S
zl6^YRdcQbwGniDG&6jqP@tACfKYX;S`ETFq<yZhXn45pdsV$spQb|<*{cgkmn4b?a
zzkxj4r%otxX$+gF6}x5GWO2Auj8bd3SMxJ1(i4@2pYH7>RoIRD7=am5VYC}wW=$J7
z(?eRf1k%sFiSFG2SC>@f>n@>@HePL`R=lG4HrMgJlRH}7k8Gj`Bkkw|tZU4+zBMYw
zMOw)S6Ejgde=7k<rLU#ETs|^7pbI=vr<n<A6T+qFxlwFzo(@I*4?#9NlAWU6-Au9Z
zD~&Vqbr#(G`90>h+A1Jx?pm*o7-x30L=$$9X|k)awyPxFuk@t2vnMHDVc8vPQ_z%Q
zONO8nyf_3C^dly~OEJfNiKn|qRZRy4t`^_R#&o2&4whbJpU$7Yyx|%;Mk;vFR}py5
zF6Zp?NvP>m!7~I`>s_CJx%RQx{tpA%N~rz`t-%sKG+2{Y_McCBtTH@yF9pq^lAft3
zD)Z(UiW5qw7Oq#hxcJ0N9Pme^sryK1q~QJx<{3J!1Bm=GtZ|$2_d-+X(a<s&^_G2&
zyA4n?G6Bp|y^f@&GacR*yGzLIQ$-MdvDT-U+;oWz>ot=g?6-8CVj-=blZ+MYIKR?2
zIN$m~Du5Sc`PU>{tQB1{X(-v`_0T#Y7+?EmE@t^SstNeU6HV!mdjU*7^Ep}aM$;M!
z0O=(2W>{03z_q-$!6o3HPq^pLF#Z{fL_eEW5v-enuu+w5S~daymPo#!aK&JY47hUD
zDWYv&4_ssS3W8+g1<HZ_46Xx5&9_3An}@MMprJ_284sh`Qk)cJ2qi#-sVIa+^Am1$
zr$18uP$SZ=S}7DVrH*DQc|l|M5BRl4eq^eAn(&fmz=Ehbp$Ly%o1{qV3u1Hqcw&9i
zVUHJt>-BNwrEZgrC@-+I1qP5!U#h&Ih|#Kz!}k)4weP}GK*0MGU%X~~x1@}C$|MiF
zMSb`i{x~Gsa*FDhwDL;dN>y37>eUWa?^&;H@}nk05D5dSE7cZo;e1n=k+F@B2OY%N
z)=l-ng)kMilGH2j&M%mvd2ds@)ItY%$*DUAJ3uQ0DvU!Eh;I!`;E2!2CMlcAO^GP)
zRJzGj$eI-25)i0wV<$t#FD_4mCCrvtg23#rs{k>i1~JjhER}HThBo@sc9HY^rkz3X
zD4@QowjhNratDBZ3+RRRGR-~m4YF)#;LOB%>=_L)ekmXSEYpOK-?_MuBNV$|Bd`zk
z$vOzT`|JX5J6FL5D>3AASs2}zRp`&jotgA+<X`{Tg<j|R$Y5QFJSXnXCR>I&qZsHm
z;w74_H#L}Q@~IdM2?M!`TtDFYyS2W45x2)azz_oEkN=G69OQL`2>o_Ft=8*RKI6@6
zK{)1t|Hflt$O0SCRZs+3MtdD33@HN|xpq`6+thcz*(r4iM@NzKO;z?C1JkyeoCO7d
zQ2r4%q@TdueJoL?r++8UI%KqII5N1LjT^(aB);$z17!RB%B>zdb}2^{nXJOGFBgFR
zxvh7gNPQbDU6K|Ku8lR*nsMN5qGfr0vQ$Q<S9%S>2#V93H8Ew#w+A2E?VOLD7J{8$
z5Oja69Jkt#B<1X$lyL>HWbc@*l|BrIoUQ8A(Qg9ox#+k_jtGhf5>!B~9ugd6GwcsB
zqlYZa_j{TMfVsY)1R`eVNzN|-)^q<(5LYG8Di7J}=-Ru0#O`|4p=7v}7GzOKS9w~~
z%JWjx({ZTa?K3A+hS-3q;7)IuiYB%%GxLM|V0?p%>U*HO6wmn@+bSQzT9>z}f!g*G
zseJrgAz~qPU&jkqeOhsG4dK>ZP$t8AWUM4VgREHG?dJ6_w!oWyAT%QveAlrP-ij~B
zL24o^oL&u-22^=~zg5?iz9{d0^2ovD-rVqg3gpsl17d+!#V?4dF|>OqfDXkf<si{n
zus0Lc$Mug2ep^`H38#c8HkpIGA-ssD$TorVxsL7E$+%2riyGY9+y}uYXN>}agAJsN
zo+N4V1qoB=asY+OBN{*X{rvP|<&FAw+`3@F)?ouT9irGK^|wlu0u9f(pT*A19MR`@
zL73wQ7K5<4?`u7F7`BWlH>QpKyNSAm*}7-}bUgC>++KPs9!De!DB~A4;uI`QnH2fO
zHY*hFFz)u*wpCtMVP*8nkQ8G)-h}uOK8$%wMFu!`-W(Ce!jEqw2vg-8U%$_Q@H5p&
zjfavEXeMwOr<9nk1lX{+?(cfS-9+=-N4X1+x`;lv6InwA^F0ZS6#n!{3w};pr?ya_
zmnyk$(WKC;m&U=|M#{)Pl%rHVGBIm5yXy9MWMWrfcPJ>MGbpddoqKA2=RgA?bJ!N!
z7Z1!&=L~K;$55ewyseg!AM|OdJEp5eqTh${$X#9c;v@T!-W~Cb-io9vW?N}Bur0es
z+Xq^pdJ;Og%&Lexa5;LD>^-Wq|HGc_;_`)(v;$)86s?@;=;HXj#>c{k!u4z48=IBu
z3X^F%Z!2k56Q{yMyVOj-q$(jCpUr)*0ftUtJ%yvqv3<qc6ce-Tvzs8bM;M=9q07*W
z#En(#!G5FnO*#aQKrpA@2ho1ogrF-FY%fTj8eSH<U3yvl*BZe&7f@bCO{#g8_BLDd
zVLt7r^n22#*%$7a^az@_ZI`ZTB4FFart{kX{0(|iOt_GUHJEV&7&WZFLU?1`_&WKr
z5QK2pG95v2V_U?!`%UW8MTF^<BMH;f6nmtAjfxz=fs$KE-={K@2`y#M5o-~UVhk{_
zEmB!^nwZV7I-N<xBS0oy506q|@&u-_tT%BtFv|5|$U2nggLuz;&U0fBv6biZas#oD
zAMD4yLxUMDTm;ZhYqgTPX3?^b4j<yJ-f1&mgpzPCPF_t>`u2K5k`AxO!F9NT#RM!X
zZ++7obbjBoU6=c>0YN)nuqIii%EL&s5*$;m;cwFvP5JfI&>rs1`{$<Ba-F(Y6A2zo
zQ9GMlmn_74JldL_U5C+I#kP|D;auW?Qt$R{(*x2yc<9AMLXg{(!RMyZ7`(Kc=c&6x
zccl;~yKY_QX(CWxQeP%1H5Y5zl?|Vm9PtB%kWq?2Fy(-#xE9-SJ`6BP|4i#ZH2%a<
zvLRUo0RLfw>v$CiGW_YDLA$xwhPH{bi9h9}8dehZ^1j*WQ%h?F{yf6j+;9l!Yj(B-
z*)vDfRc#(t6=xXrxg}9r*iP3fhAgy}fz5v}-6x=o%f+}Fp*EcfF$-~Q^^+HC*uWDn
zi3ZHI{{s{3#=~)+6b_$~ujt?ubMO5gB6HOpt)2U_rF*Baja|(`gP^NTB*D&|dkYAC
zEu!;x@#HiP6rFHNG$1G8Pk%(X3?5irtH1-RV9(GVI^k*^C-e>Ug5sE2u<eQcWh&%O
z-fG69y?al7r*48CKgUE{YjAp{cy28nugtPy_JyPyoU<`<%+_{rZfoI0GqrFme1Km#
z&t+zwSO{_EF1wcH2V(IfZEh`Ul4y<Qr+Ab@wnz?v_P7`FQJU9V7<?66tp+gG5W55g
zbkj9oS}+KFYHeV_+0{i2tWT_XA_OLWs~`=q2bO5usYfe>e`va);d9e7{Ep?K<&e^3
zVDn$9CPOkLEd{I!`u(mkTZ*5G)4bnEE=?&tQ&F*QXK`9?rT6{XOKL%v{>DFftCCq=
zz`4k0s33ajd^K7PEr<Tbk$ZUzQn#8TT}aTp$E=q&WtVEVnJ%$5`{L^}(DN2&|1K0*
z+@?_=T|P&%Y5sM!<yt*{;VVWch?f4Hp0eN4%azx;G$UxkXgVE_#}2&PFO|VI6Zdz;
zg$~+<(78Wc$^VvTzSJYLPT|fh1Z*9w-!bh+T>tSaExv~+RAF18@iUsJc~1>GPaM3a
zFvSu==fIi2QNAvi0_qqoMIiYxg&^;lJ;lb6)!^xS&$A!DRTd6h_wz0AM+k9?){(CB
z`TeDpRU>qe4`#Gv--%u4m${me&PoUXl23al9z^3WKdp?kl?<0(xB$Y8RpY$+B#CBn
zS7!zBp{0#TcePC~N!4%-X}=%Zmwy{+79*m-HMJ|9n7JP{*UI2bB6W)5V-`q44fj%^
z#)bnHN5amCQK|iy*haA4T>;j+_wExj#+yX<NhY%TUa$)e?4O{oVP@VmuG*RtsX#5d
z3L-NIozVm5(wu;AbJ#kmyGR!=VpV@G{x!)3`7y`Liud;Ag0VA+DyBGlh(&u#;ulue
z+yM|EMt>&1lAi3IT#yT6dmTWxC}6s9A-S;qXg_~`&GB=tX&mb8;m<!q0&n@ya?$F;
zH4C^pl+jBILiwoNPf@BuzFUne3{WxX8hEM1a{#l?76qfD_C+T6A=KV|%aWD$DBC7l
zI~)lU#U3?@>=5S;f4_XgTRFqJ7hvr=T^0&{DuY8IIIuC8GCE3?rp&mmWSB{h1OtAh
z3iVr7?g1FL#ozU!KH6U=PL{>+S$_};$lPAjYdz!nAMyigu%T{JIa{xoAcwNb04VAS
z@cj|Xy>n|hAooFKl6iY?;ljg0@avM*|H^C}^;v^6t@+x|Zs5(v&@<qAjWb91*rE|@
znyr965hnTn9hu9)2tLbQCa!y77nK*$x0>wA3sHgO5j_8`f|B}mb^WMQp?dJLn3EzU
zSL2Wx1~6|M;5{3ITQS#OH#a<Yt>Ayh=C_YP6w543v+L$0r#5yfM5&%8ssS>JczBw7
zOe;8yGsJX4L2|&9#l!~j;q?Y*liAvbF3Cmm)QngeA<6iTfpdcNpThPUZb#4XhF$sN
z+wUS=XUw3K{I3!dqT75AXlC+dV)Px#SvADp<DW91&AUhX3JmQxM#|W0MtWbV^K#>-
z;gW5BSpc6R&8Fx?(0vNNdJIEwA#Oh*$R;ZjdKz#CLwY2ELSuQ}n&S_F9~Jv!`>TUU
z`x7$`N*-5x_miVc{sRbuC<+5GW!Gqo;GXO|Cs+eSFm=zMBv3xY9cS~eOHte3-tKzi
z-Mfvws1J{Ddqpio3-yo*X-36Z?$P%TvT;LjmJ$v5{|DPb2DoL!Qq<d1APM+>fWazw
z_({*mHL8zC_Nwz*SC90LZPFADRy32Xq^%7+#;YK0V$7-#^vL5WIWsM&lZmZxf4kv1
zn&pjt|8&q>Q$w@n+#U(-UnZuMKW==dN5n%O6L1oC!<4=t`gsF>%zfoxyKL;bDFV=_
zzS-j=Q!NjJOEtWZQtY^!{#z<CS!~rNw8+0P|B`cDwol(6u{;YLa2w`90sOy$p1<%P
z|1SDT{yrcUlVb}X;fwI5D=Y-Rz<}Qb<<oGm@5zTGHMzIwf(OA_$srY8j2F#)6K|FA
z-E*{kwWMGlzqu^=*Z0A;a{Wdo7yl<S7GUC)3I)f$2CHioX~$>y$wqk3;X<kfyk&00
zxddW!@dzD7Pd~f)XW)^2j|VX7SokkR1!fF$9rpi!McGg`F0wD@4~LT*a_URPcXVlG
z3@j(~SKrdam-T29FY?E@F{6Gnd3^uC&%7mq-^eX{5adI(9*Exq+SSWFI0}=yAr><$
z=+ag(z_OS-_J5f)H@u3`z=>V|0D&?u>$epz(EjiJ@z339Dt#OxgRT${34(=I*w-7#
zB^kBaNnx55ASMeVX^Yk7YhcR|c&YlOfMal*qJ#K%G^2;85LYu6pO_V23P3eQp?&J6
zE*y4cZ@qN!gO`!4&UgOIBJ}P5<!JU<!Q`kA@n8qh91u^Sds7}~He2@JlQm-1-SYe)
zaAUiyUNzoib_7ixzemsIt|<HKgBq!|sDi41a&(`+yX(bz$zFTYI;nJ#U|ZJaR<`ua
zDGu)|h=%_e1l2ZOFhv!A;_>`a#2YadFcw)EZ}n&_{z)!dMonOde<sp$|2ABztra|U
zwX?MaT|80U`fYIa$G)Q5f$rtZAEiKk$!Bcx3Q-{mG%#=Q>)$7{^S6^}=KL`FPCx)#
zeJC?+Ler}*R|EDh%>8|jzavW3?GEUYOi!PaXOQOT6qa!M<0pNT(LghKj;Wp{Zn{sL
z1!(tuIX6!Ac;J06gTCd*L;N0q?H~GJ#`o*hyo#n0e5w&G{_ZnHk0(RIC6CSu?HLA?
zcIF;Ly*Z*+ixM1~Qs7&7^S{KEY8$@Q?q(d6gDAq_%cbRzC6VQ>VdD=e$p^Kf|2M*2
z&kif#Re2}JPMAyr7&?3|^q&CwYgnk`M(9K^e0?1u6UfmJZUkNZuQUbnGfc%$&r((%
zrfC+R1YH$c-lq7-`@rRuK;Mn*)G61r`gx%5A^a>W{7?pUeV8H#e;0V4{<-ZdY*EN8
zvIxl?vQLA$w)Ot2!ucs~F?2H?77uwH(2&K2&;Ol25_R&FrGY`yxog&5?lwdw*NC3n
z$%(yW;=V?U#8<gciY=f0)##y<T}{#ULq!gfK_~;%I$#oCk@+_G4Kf8i!dikp)+7?N
zR5kO1GJg`vY_-zw;u+3$uG<LP(nlAgEs!eL$!fiKSEG+kcB5f49=s}m*`GcS|Nq9(
zcDM*eJG503vEaxw2b`s3R&9R$L@T!qD9(Q0J$m||C>*75FUS)czV1s4zW>A^Lh@z7
zj6-j+j?S2VieB4P8gEMZ<I6dpd*5TmUg^}Ur9ef>K#!om9Ru=30?7tvjJG)cOUqw&
z4gx8e&HDlt%jQEbEU5d6<Bwm8;~yVkCr-~bqDn<$L{KN55XlD}CE3=uY&R?Z*Ks=H
z25MifoZqV9f<1~%LoXPs;7*s8OUy=X3W+URp|ck_T3X0HjSM_#%|0b-4J`PtrE<e2
zxKcs*yTHsq<$=W&%|7P_ARbjKGUYtJ5c34;18&;Xd;T{wYXvpVn@On6Rkl~U#scUF
zbssC<Cu`d$H-W*qOq1G)lvD5<)H%)jWD6%8wE;rHbd0J)!Qm$j=o7T!f)PgHufu{t
zFqU1;0pFTv!+TA8h@XV!!F@81B3rGDnzHi?ut93=VaCB**cN{OM^*%KY@Irw8)h!d
zu1RCzVNspNs)FZVX01wmo0!M@qq1xYu=uQ{rnVUc2pnMtix9;Pvif%V&Uq@v>J?-2
z9<`k->mKUoJnwar)8^Lu{!1jnR3Jl(x7>o5rAgD4m#6<romPv9z-x9JJQPeDDboK1
z19D`;OPe%)Cy;mJ6=flP;^g?s&}r@CU*2!ozmB0_8akvWg}PhDoP$jPQI;`eGR+Kc
zf_HSAGzzep1$T$+A&6@T`W?_8yov(TxCC4H{q(~8JtUGjxZw(`$WDCj40+S7wRI_q
zW}-(BxK3L&*<moO<jtV7R6GFM_04z@qm!A<n3qTRI@w3w)UM6eUczK9wOh&piNb##
zQSgbBsfXX!`o=;hDxPAa_%X91wcBN@IV44rS!&_u!m==iQ|fvh%Q4@%bX=sW#nUz1
zx4SZat9KW|?;o&&p9wKX(H{RsnuYYJ|0ujv7@h!6EP=2Xk)=0qaab_JJ`6TWatzJj
z&4sQcjrj{7vgFt}Wtr<l+({8b>B#W$mr|9tuUbk%xs`l-4eK)#MCwz*7<*j23b461
zQ|j1$S-s@^*B1b#;~Tz{n4<==A;@ocL@MO5d*d&?oQ+Fgy~#{kX#YIy=9LO!51VoM
zMmKsEFfWDo|Ln^8^wyf+Zu4`JU3aDABvD~jqMW4ad#q>}wY1k=IZnt!(D&`>z=qjs
ztB)1yj#OLVgXiZEID@Nv=Kw193P3QpJF^RB9-(a{a|b>6#N(!(+QhGFIR71l;O~Zt
z^>^DHNIx{o{5U6)#<LReo&j^2hzuz(nOO*&w>Z`_yc-r8f?WKW2_QNade`kn0e;o3
z4SSwPtZk2V64JML^L5~9BUxJUZwC00_VhjGwC;d7H#abEdW0@Wuxeegnpsozxo91U
zIgu4C)z!%?>D9oS)YF2}p3vD2ftfhrQ#IcM((B9X&y_l6HsdoIqzo0VbTkvx$O5M#
z`1Vv?kt0(pl2><B2%&Z3l`I_%E;01VlWaU>WS=B%=;=b|g(JkcZ_w~qx?HJLNSzfp
zyct%78=A}MnKJtsi34(maxz}MdUcZrdG+}X=&LB=fv=)rsAoi_&x6a2>%8W}69`Sp
zN1rDS{1_>zt2ZvK^C~{2H@*8y^Ez<jDZ%#_uvc2+5X;`&jDVr-_#yk33Sx~u%Y!*V
z%Ljq?m;cGE?8(e%ZgDsI4K;3yjm$q5QlF~hb7&NDER0g}uXXBe)#j$+S<$+orBPGa
zb8cW~VL$+6XHlHWBWfB}9zz?3<sAIA4-cx$y94D{Pm)LuP)CeY6X54#EGz+bHOVc7
zKU+Ek7u3EIt3yj|AyUh^d8C0k;tZ$J56%0qsx(cTqB-JGXWk2lg=q4<psf9sWFN)D
zy0`oA+1xz!@}m{gA=8%Pl>_~ub>DAPhtxhaLMc3IENMy0FJ;O!M|=OwQ$~`z6~5m4
zzBE#fcDT^_#G{spF1)poMtBI^++|DL*8Lzym`i;#M&yRdq`A5wJFE{HL$*RV$^8DU
zc=fhcc>r}ZXWSulaPT{8&ALSb@trmTHucOy8R#K5mFwJd%k1rhR$No2xUGlv__p*&
z`hpCagv4=x%yGx-?v4cfxwo6e$n_nC!;$TKBTRqdksZ|m*o1CAjgL@ZfAsFYK*H9b
zyp&U3LU0~ULSbnubGpu#_2xuR?!AnU8RCL4e~u5bKkCltR=byjYJww^E;e`x^2&D4
zac{)Ke}ufnY0^OEvdi~+-s%PVlvm~EdB}Mj6y#1A$W{ElAvFp8A3p$Cr|HGvWbRxa
z2}Xk+wlzzwDUk!jf}E-&C)45)zvXx@zC<x`o}lxa2K4Hr+1-(6sx&v*U0{w8(VR)$
zkUSo(6DY#jTP|;3v-|4ma?}daDWoqT*6Y4wNxav`rr2$+*(WAkvzBMm&S$TgvweT}
zA@kLIRNG#AO8M|;)xD(OX=vHcQu^}mC=T6W)Ryy6wz>(BB(r#4fMZo9XqBxA_DQtc
zM0)<-as0TV=$%BIQo*a$1#=V*7M|F>wa_$m#HNPJp39Ict#`t@A@dTuO`9$>^PsJd
zSw7Blrq5W%9h_yaXOv1Ew6>mN?{P3Fxr_dL!eM?YUFnz5#-o-rR?4^h;O}?(6LIG@
zdO_JtPZCYQ+imKUBL~LQhzwXveQ#03qox}~P83t6dWT`e(CDfR?DzrYS-`8jtEg0T
z9nTr%bu!1f!>c?uo?z;O{y(<fGoY!h2^UTXy(=n6N01^&Q4o+Ss2Hk>6zNrnv;abo
zwu90v2-20V6p<>u6S@KdCmebUAR;Y*lmMZ8JK?<d-XGsDez3FFnprc?%z9?_UjL@D
z`-v|}G5N+(^YIByEtv~VElgMT6*nxee<H+7Sz4u7s_7Bpc`a{(YA_I-LMY!a`CiO!
zxNjJ1y$li-3H?am@Rlzi5b#jY*V`>Dpt+|Q72|#bk8t!|`_Kbqy6is=3rGpk%WheH
zTHnPEwHAo#$A3EX-*eqP{7&z(y53)#Uh8kTzEaR!GH)w0syOMgd2iP!8pd%)O&K1W
z{VMC<hx&wzCK@hu#ioyf4R}Y&O!}}r%;5^x3zQkyRTXrBH=wI5SDV@?MXhGWy%gJc
z_pmC?uU{#3bWI~Po09H*5GUu@*gu$ew${%a>89jIr{Q%v2N~!*F9LA;WBB~~y_czK
z!Ya;XQL;>0{WzDAyRZ2ucvOBb`F|cgU!DT5O9|kw^Syi0)V-y>-?Mdu|MIsXZrjQ0
zEFyLD+hqAArX|9#;Yefs*SBLkPBU@pJ1RhYfcfxsH~#n;S(s=0^s08O(9m2+fZy-Z
zT4i?F)~kl=7`)xDb<I~32nQW3Tuk`(O+==^6qO|!_9o=2t$d2PBy*bJk&46b_js>$
zoilqUXoh<z_U0Gc8-0lE{EQje!k?8My_Q7!Pt14jMjbD&H9C!yr^|F|D;2o#c-H_U
z4}a*~gW*_Wa|>$OMq{~Fu3~^889cJr=>O;$N{AXu)?$2+!8cMa3I`Xs@_JstH|O1R
z`l=~rapq9F5%*+$XH%0bdr6$tAaDTM-re5kGfW*^lCOcxke9Ig^no%VM(5CH+a=oB
z8FYK@++|@d{Z{_!pKZ8K({XOqbB?`{Rq>eLSSzYR>fE^Bf2nI!>Ls&xAx})CpFd4l
zj0;$rs7wiDMtX!T(ikmO3)J%(ETk<^VJ%jrxASu&0<K!p%pWVp{j)0x^mq~6!x^pw
zhTiNIPg0RKiWQ0q&TCAjiA~O>f#Wcy<4PsIXBA2cEM6<0#f97{vTaB`!vRNK0itA|
z_yyv}49ZrnJ?&Th_GX(MBK67Z-QSTNY_)ijf93wPWzLMx*iK2ob^sG1lQ=SV5ROHb
zIA*MxiJkv>4rhNJKSJ~dik*t5|J^$Hnp-`xS<1o0xA`RzXB{g97ra7UM>VN5G3bJL
zQ2aA0fIystVr(Bf(s29q$4D5&3L#j-wlriYi>V{u%Xfq(awyz{C&T?Cm-l7#GN9`A
zf+#8H(egLX3u{AVeYPaJH(T!FIxxiYgZbLsW?1n1o&5_)?uB09A{~PHugUx0JNUEk
zEf<&t)oN0L2+V`}xISs82+GSJBy~WA)zlDRnru$`o0X~pzA&fB`Rha&(d1E9*~Gjz
zQ`ppyR7=x?ELj*C+j*0nk^);mdynX^r!OBVj$AkKSbiRK>%_XN%`V%!Mn3jfI-U2I
zrxRogeuB)6;}r&w@<_Hu5n_@M9LsBxeqVJ@R+Xy9BO*<YRsW~l*Nrn+4OM{1gR}zF
z#wFmfvX`t5E{+H9z}+K}{uDj0?!S%)zruVRmQ4Lu-)-StBg;F!>sGhdL#6@h<Cp?1
zTr?bY`$VkPT6ufG`*X(~%=7G)iF6v*V1<;t*s};#yg3lU;$Zze1EOk@Gc%SAove1S
zR<UHPF!_LzW+IpcGZ%^+l?P>ZmD7au+(X3>EbLX(7X5!O>ot~?95=m-=(vYRdO(gP
z#AlT6+4oTgQ!9V4ETK@1vjpf}FRA43e!umRv{l?I$^{n8YfFG=Ub@D<U<;S+Qf?#h
zGKi``jUz2P=p?dVC<O4%xI)%F)(|B)EH;{L|JJv5m#XuKpOw4?Exu^^_q;duRd6!c
zf2CMpC%5V*_65%$xWX>Lq(r9Dj-7|sWpGb%X_$PK17%unra+h<^=Nvf<?TA9I(bxF
z=RxtMsHHXGDXJqaOitr=0D5~cQ3nm)1quYlK1<ryxo6nGm^5plBeK+oH^ycJoT*{j
zlSNY8Uz)u9Wqr|N{r|}zWJUBxLh>x@yuPX3Ue8;)0gd>z4Co(da7Et9=6n1-;O#Rl
zVlVF&v_e|B`Dd)GzT0T&>_m2RzEgL+nBkNDbW4GVZ$eQ<GMMu-mydn{{P*{yEs!)8
z$DX*I$Dch~vA|6Ix}$Z-#*4zgGNw1}6emYYtWOSDTUnrXZ`VI6q3|YJPp`&iFAtYk
zH(w2vrmAu8OI36tjNOXOe(*F?%<)NFZrIXNDLvuqzG~y5>(>s(?v}0k5W@T4@NPbZ
z0ZIw}qqVVD;DQv-8TQ@-Vug&59q?7Ust6I>q0;ONh=fG7n9=u{<FFvxE}5k~jipex
z6|hPTx@4^EO-5PV@!~TBovotPgB$)cv+2RyG{OBiq2dz`1nxu_n})9!uNY&pF!(r;
zm$ofP&mQyp68Ou9sGqf70SE7wdfo}B#L(gprd7e~@vkNfvVlXfZl$bBEb$r$lwejy
z&51nmjXoHG!)8w8FrLJfhSdY#D>M^ZH$zY{!eeSIFg*C2N`)}y!-D^}tBt~M%F<TU
zEzA`?5UD2bs=Fq_k?+Y%T?UsrJxIr>EETBo#A$>{uButSo>zv_<vlpfd~O<L4y?Re
z*c3?52@|_|rFlr_N_HHSA7%4&E+n5cfN*^Fy6}+~3xauP)_5JCe?|$T16uO-mCE>@
zET+iPIdxj^@|3ig$qH0+f$**5xJ3I<1d4G-`!Xm9LiXY+ns{&D%s0)@p7^<ZMLyi-
zDmbdWsSAZnl78-r%>lNjySnu!5@>nXNW?3r{}mBk4=1?seUt+u8XWsaHWf;+zvrDN
zMRWYti!-@pLk^p^W2yKnU@)c<fb1pRvUmwTrXcOc8+ugUZI84~EGwz_GATS9qu*(8
zmNdpkKkC>v6^K-Sw>jF{2r)t%827g&_qjFIw3dI&lKLw3Z|IDO9w4<9Y{OJ4K9Wo4
zcX6X1!-jdK9+vhP{5{)a*FK~15ZWRV5=~hf)_No-6>uOypo*29WfZ~%D<IvBgN>xt
zj$d|z{@G0V8WTWM%8Z_g36_e=MmUa_5u@Kzk2q08{2HI3D_pkkHKeW)2Gb6i-%3<9
zCvPWPzKjKY1@iMCab+o|fKYWK#@+e5>~KKmJ8%}EsK+q6nv6ut^=xjx^(9K&)yMnH
zSP0P)!-!iib6STUU-0vTxO~uBcyujdKxH7^nzXjMTD2s7VO4q^d>^kwuiV$N`k)MZ
zF`5NF^j5~j|7lk)1|2YBYnDN62PE9!>n`TWK6x+^JCp&Pre39KxZnpvd`<EXirMsr
z6oOi&eRXwVYAq{jTg58V9MkydG7umQ)Pr+n(|Pbi3G7ZITwj%0vLmu7EZ~Zx)0ZhS
zgqUhh&cGOIP9`7+;9ejMZhnybrqXETD=RHtzb`9c&e9{kZJ^(`)&fZ5BuNIN!TG&-
zL$G{>%_zMelKW)A!w6BXTHl0(ti*sTKu@9QLzfVWs*F8&c+ZbdUMV#fG{OvSbV4?>
zCz;4D5i6V>LOGeYyBVlo9B7bmL#cel7G@d&u98|pcJa#E>R7Q=H&_h0vg9DCNS~aT
zI6t4jVw3=o#MmT>p;f+8aizbW*(m7j=x~>5J-C<P!kF&4z(T=()^TjlYnVXqPrQ$Y
zm*K*3RPEs!m=K$0fj<|Dq5}8nM7X}MWJ4l`*MWYc(W>(g{V>Zj_J4a;{tVIvdZM>L
zEkwbHAovH3X_l@|SB%zXP6|&lvIDDMuBl7ncs;mYP?0S^Svm$yM3t{3p?|2PU!`R3
z@1DUszO^q~Stl7+28A_0)2ER+S{ySD21_*oHODOqdgQmLze{-x-h_heI05xus!0a?
zsiE3334t^;P7!B{<z8E-Ii_`{D()W#KZQ5Y!vQ2(jxYi?JeI2WIB%;pMEiQc@Ru!7
z*7@$BP@T2I)VOW0#?kaCj~B?N#kL6qmn2^L-g`Zp7ft^T;7T5VE)v@r4(c2QE9vg;
z7nxc*X2T7t3)G)bXPV}moU?%&^EzXW60%#i>_dp?YU2;<K!`_7@XW}(Er_Ow)|7*@
zv_#-Z0?jNN!I5A96?P=Z8>`V)N=up4Cj7<wftrPXL{gtc(wH)EYdzNrNZP?r*ceF#
zsohqTZgxknIMY0d!{-{HJz{ek#zX>wuOax4qaFu|4Nxdw$2<pdsIw+nM?_QUNJj(~
zuYV<pZScoE(wGAv$kNnsDa6Uv1OcMbJPN#fMtnz2@s(-JuDqc>%1p9x)PvAtFmLL0
z1e;eRux*bQp(c==Tgistx*3UHf}w-mJK<G@tbcfs>kEUC0@ZDezy5>GiWb@$)EJ#I
zwQK&jqv1lgqBWNXmzZ+<1%L7Zv<r|!7WC(PYRh0MBb1)PqN@k=Yz8Zw99IO6{ga(?
z9+DpJxFSwCS-gnZDm$LAC3a?+<)50^%Zo@py<EdS#qkAZtTjC-h}cl7cy+=Xh2(>G
z|Eu(ao}pMAcK@;zu_~@-0m)TyK&L@cBipziLk&Ax=bm@10SpgqN>CvRAwH&j5G)5|
zLHqwFyOPdMGEKLv%tCU30uPtkpNLDR$tBxk=#6v=JWU*LQ=M|b2?LU1!x(3g2?O7A
zrfl#Rx<JZY{B=`UY_-jp39Vr)*$d}sG?G&i?P-MMjratAfrn_af5Yc5<Bo6QSTJwU
zQy3RCOAPfGw3wQiCK#ZRg{oavsi^cEHMs%~b|v1-D`D5`oA<5S)WZvsqYr9Nat8T%
z(~NxEwwYcwsFS4O^zPKb91%gonxQC%!<JQ4?$)&(VGECgaecOr(?GoV;x!~><5|l)
z?#;rU_~u*EvuiTV^+)=C)>=ck-~h3*x85e9l`u{rhCqm3V}%$6J2Vewj%H_Us{{Xg
z_rp{k1<@fPs`M8N;#(zMYkqCG%h%|CVw9wZo?RpTo^n7M%fKO&7snfER$!E^Gz%!m
z_K*VW5cv6(0b@x66{_TTqZ_SQs~gwaEifvlVMD01pP6t>IZ?07kSaIIKze=(DE>%E
ziikDW2&J9Rt`)@z@Fp2)$0X;1X(K$ALk&vMK5JubV<zP`CtY+0G{5-K{f9PQ#<g6D
zYVirMDHy&nJMM!QMX1IwzId6YfV^kz*QP1(bQ^hK&+S&F2Q<B40PlwBLbq;Q)dNS6
zy+>B@X4&VE$B%&pFc)b$;IOqSw!3+eq}}efN!)k{5n2$!=HjfxRioh2>@La<dXucb
zg&dvl)hi=9YYSdwUk+!RK@j%HpzK}nkea*}$q)}NI9tZ8VHIhBUb**j&42=+ONGRL
ztvG33J$RjE{Sn+4=WpK70OmVUsFuH4-Tm6N>OdgY{CJldOL+XDbArY@jJ!LEQQ)WG
z#L-C*0z`|#8WwEu(Kt6Ypv-0KzLYK~z&0(IO_|p=kW!FAuT}J~++};+44ABA0ulE)
z0ZSlBfen?lqQI|r7kf}u4Gjdl_^KeB69qvb#w+x5C$hfOn<Vz6F?25gzp5MgUYK>~
z#L19Dn$QAi?xnGvY8AXmkBV7$6EkPod2qz2D~4N34#REMYG%O~yp|m7q?Q~YpH7|R
z;d#)!n*iUn!f!#bK|YK>y+~G+2Hs@>T5=^_az;Q^?g48N-A1d|f2NR~x_K5klWds>
z?ABPX4gC9IYzL)T&Q113ANq|lug3gFi*$eb0N<waGl}kBRr|I-k8K5utJ1TpDn`CJ
zRkcS0<z&gvVyEHJ<06#<(i-iF64`+ROY5`q(Tlvl|JD%_^m7H1npGyR-Fp*9+8$4P
z@HfqgmM2Wf>Gjr#2%<V2X5sOEbGR1?&p&HAOD5TyA48`=5a5Fng!qv1X&?m_E3_jG
zYO|VR2F5I)C$;5|ZNOX3Si_JC8}dm4)X;N)c+bN5E=YM<_h6}mrW7m;Pm?Q5JxNLh
z^CQCFTVePQys_X-(;<Aje#2YHe|<0k;r65%1y^eCuyPK1HNX-Vyeg9Zf*RI{9O|mw
z-e;|2{yM|Ru6*r}4#>fPhUE?#7R@M~1jRIqvPsTQUmLno$f%s|3OEWUaO>M;6U54K
zVZ|2<{Pi?lca%~!MI+@RITy9#G*Fs^zQ!bllt8*1tgoYsvX|`f6gRb8eZb$gE&t8W
z&N%K7+JAP9M#IzH>>W?3n<d}N=Qdx-g4;GwP1eWXgRTB{2Gc7xQwv6cfM$00mkb#a
zYAY5o=^yA>-NOxs(}EZiL5S_0A!Rf0^KbLwNkFkIESuERvCG>J8jR^6Q6Z`Sl1eIX
zr1|VTfho`pd>~f#n2ZgaNlm3v$fst^XL5gIe^lInZh0q#(?A7)H)C<C($my@!Cwzu
zm&GvIg=L^QEC&@n?1veWqywj_L=y!uM2<<^o&#<Q!}d}k7c_s`H&++DoL4rHw#8FX
za*T;;(nDxc$|htaGfaV3LIcn$ND@T^lTG0wG=nM~)<m)Gb3YmUA&2LZY~<taWLAM%
zRf6=BfvdRm?K8+`2Q^$|VHrc!w4C1x+4?pe3#lffDOEotBtZelFsuje9nagF9<7fW
zg!EqeY2*(@Ds4z_n5aYdWH$~4EULk=rLUw?XT>DWUq!b3{#$;&E2c?`!jCi2^-t1U
zS||@dzbCy>jp4?{@~)-#HbI!XoBWp{W+A|(DH$nHQ&zHz-D^{P2_z#KMnax~0n4ig
zlStOW{DkSm?6f1phN6uc?k8qPC7qA5_h*wo^~6NEDiO+VUup@uhq#Ge1Xc&@^>$!v
zKIkFhLG7f;&5LN~V_%XYzq0*98e@<d7ce#=giXbFQAklHDbYc>fcC)!Cy=+Ao2=kg
zvYDux?s}R=u~{R#rj$0|x5z4CO4`WIsBgT;{s}7A-lpIit>jad*wqC)=au6x-nT9&
z)3p8^81Ks395g`N4GXxUqw73xk$&bcV{F(B26Kdz37%!P1EF}=xh9La6$8Gx@v*5(
zyiYu7-Ysc}4thoo5kE6C#ki<u7(6^q+1oEyEP%tG<{ba>kzK7b>LK`9%(bZuJ(aNS
zUM_T0=`+J5E_x`Bf)@~(=a6tV-ak9e*0z?zV>O^5-&;WT$=Z4tiyO~dBXZF2dx8OV
zgs>P5q7E%)d*JcnO?ncN9x6;f$6;e^{G7Z^ne@=}z??en4npxlR?S!9R^OckFN>7l
z4(mTr^q5x*{w=3QHk4_b&CU;cZOD~$D}52R;g+(iDxBNb(|Y;dL314vB5*H$zAU{*
zQadMMau)O%+20+B7PXDUa&rElvVtyJdCIZ=%c5gyjijbWg5)IMe!Sy4z`sNvgVL~=
zI(okN!b@?Iu}F!?dz}x-@*m#ZJyk|U=XL%kV2S#s>9k;)?)L=`Cp{(@H9tFY#*ri^
zJoc#rSzcF{zJ!T7wWn?rzZc#AWkoj6A#Iuq{|X)M*ux&Dg3k%*37w8uD9-!>`OsK)
zDKuY&`F5H=y|h??YiLf&0dKka%@5{ig$<w6=xakBcomE(bj{%`Zfl!?wn>W&P-Q@w
z&CeFZ7il*i!lL*)=o80;Jlh}PO<ji(FMERKyf-#!sGY#n7}SQ$DJsN$?2|}pE13<N
zs8?IJcqG|X$@=trM^k{6d+)^46)>EE5My^L##2f5xGMU7nq+<9kNS5>gB<)IZ3Z^k
zdtV|_BzIvH3YZT+1DZ%tv!}nhxWH{PhM`7;HyKR3gy2V~+UR`+!k|l5rPIw1RJDup
znk(R?&xauKxLR1o#@rl`SwQyvSDoaMN4<@UCz}ZKF+DSV9~(1FuznAVy_8Z-R!_=E
zdPCS<C*^*!xfZ_n6fGI+vw#7?%xRMCPJNNVS#|Rz`>#Mq86*g+iBJ>?<1d47>3P+n
z^fPgbd@k<3Yg(7z>FKRB$y5Wf5AcU7jHJI&SAT+@Rj?6AGUh_J?>%`Mez%O5LOXYS
ziopyABrhsRK}UhzYU|?&x0UF*zDSv4I4v-npf1q4*A0GBBsVCVT?BO6kK!z0eTt7A
z*<H;iKHmaQw<`HExIPAfaM#G0HZ2sBYZ_@dS()0lAlgQ}PYKZ`>wXR2UO#JVEyf|!
z)4>EppUz@C@8U9QGn6l=T#~PhG3wm-S7GBvZP}6oNfG(_)RPgzyBxOjCYrP*9?s4R
z3Y~jH@2$X-EoYCNPOXJln(pE!3&*RWrt>wmFvB<hS+ag^{6&os3-6yJ=n|hH@RE?p
zDVgED6Dv?t?#9Y|ue+Wkqz!Br&_{vMrS;=@XXDc(G&A%P078|t{M9bz(YoR)PZV!|
zx*o?YuiwlrRPqs7ITEM7q(KVy#OZz|_Fv=E4X9wk*Z-o|%l7zd_M-<oD{9QCa@ds^
z;nJjM=c_zsjvIGYM%cByWMVr@i0d;q_Yb!`{AJV)4IdsJjIc{(DDO|^?BB=$4*o6j
z_Gms@f<dSMCVtLs+W)x%Jn9+kNjljLt;hSj1L){L2lx5MPDQ|iO$iXn6DtlpJ380_
zukI6nFJyFHBRT&3Vv)7=M6)d?uRv(mV(*8o^!HW~LQ&_bC%Z~nTi>9)@A~t^Lj3e-
zZL>%C5vg@+RZbsn6rDkbF|gPH8A0?VKh@U%h;IJ*JVB^<zTd<0;X%&~yu;36>-SW^
zL7M;a+m8AD^)l90WgDvurps`_rA*crC;dE@c&;U?dstIDZ7>zie&D_~F0vcXE|FY2
zvZb^hm^f9h1K|$ddj#IqQel#!&Fg2wRqva_*Y|vSD_1(mf1bb47*sG2D_p!;ABKob
z^X^mR3K`oEkm;NOcTw(5!Hyzf(!2SbeIW4m+rmeeVg%o^oHnN!*A3Ub8%SOZNRa0C
zrmF;W(MrLwHP3#`-rw^#9%G)Eh7{G;SJxiSV^#*e4yh%GPu=XTgLyYXDlF=#6M<mX
z3(8*$t(%W`1VZ`1d)ql?<WTrYPT)pt_H0G)(Se&ls2Ik_`**KmK=z0r{9&W6m|-(@
z=ERLs))#69pm~2M)q;zsl}7a;7k-b=m=Z@lt)8FUX*o?X5NJl$k)`E=5>-1;*`Ra1
z7_g8`8YcvU)-KxDeI>>A2X#$pxTif@T)%tBBOd^wNM<G^9YKO0QQwX;m<I?&_Xt>U
zIVz>^PHndt?YGWv(UiH433_0Nn(858iV&1+^mogDd&v~OAox6Tj?)3-#<u-xT+ba;
zHOcw0Hqtr0tTz`^y_sq7OJBP<xS$%eBP1nvtnOA7lr$Zn-<xKD`sZ8&ohr3r?I^G#
z<bG;O<r>;;<v_+y66byz={Xref4u+Alrc;r>s#yR(7$;MS5!#J-E@MMhSSIgnF$-6
zFdP5H7k{(zW}i4uJ)Xy95kvBMPTdm0%7Nt5P}~1uz?*rf_87F2;6J@<?u*pUYm@bQ
z-xocAb*-Bp#92c6E`o#=jQuDp{X8iy#MWIWE94IwIuO$sv@TqvhdG>#3Z|S?`n`}_
z$Mj`0(};wH4?RvX?xqPZRd3%FbDIghfa(wbH`>UA{C6^EB~xdz%m2pehlefLHGIop
z`$d6IZU)HVjrtWCQvbOO`MK~kt4KQqJccf5VUFf5vZiMkRkiI#9a)jttNcr3IQZQC
z+8*78^$KK8Ct4=l08{xVre#^Xn_LE0lG@e=%)WYOk%Y+RJzd?E9MEKHo4js*INi}B
zg>Bj2%(_>>*aK4PAnEr0bb3Mc-bD|O60Cd7-)gN>qE0sQbO_F*Mu?x4@$(DJB{BNH
z!FBy61*r*-uR(`8dAGbC)viNVXv)mUIzgRUNAw|ncV)I=Zd#Ai%2+ZYCCkTYtxZHK
zl%uRWZKLU({{=DdX#oDUmmHt|u<|1$P2#Gq{QSE=F|zIb4&?E4MaWU}<>?b&kV~Gd
zEP5cPm24@%e;S+qcwkgeHedHA$cKm0izFhA^E|m*qA*qe2`LG$;9d{ONqNfG>~pPs
zzD%2rbN!3U2eNj)f}(-)M>RlXz++dH3E~F&*)>Cb^!@Lh%?y&G|1=+yA8R@d@17>T
zAxI>cTUD886V9T;7M^<9tBL$r@Gx*+ak3^0&UC7)nuozCqPFwZwW%i^GOSKd5`Kc`
zEbvjPNuBC#6#3Mg-E_Lt#{g8ryLjBV_OX*{S}*8pyJBWs{Hgbg4SY%V2U40)@;(SI
zzn%vPfCaHp-++Yh+Gp3kWh^-e_h$u;E+1|Dvv@E<szSy-VmN)cpw@!X2>ZiA8P-b9
zf{A)ZDW8xJ-I-50H7u(PIo8|Rp_5&EW~RriYAxG(y1^IXEAXp}%3yCv>}f1SM4pN+
zW0FeC9iKRFSlXa{^FvJkOj9o4T_Mcsr8N1bdbfnsk06w9e7ftp!KeV|l0ep{E^N|j
zsLvTtf|wT6uw0Qhtl2*)<UEuOcv5TSS}^IpEEdnA+(-i+kQSA}JO=L$Ze47)z-el8
z+rsm#v|xejiv^UiyL`;EYY;e?F8}A#w5Phe2<8>0j}_Axp{AzA!t%S`?;yW?YyM}q
zq2#?_svoBOB9PYm+Md6!mjr&{$G}hTrL7Pc>GXRzd%Q!MRcI%I>;Sg%YeG0oVHsUw
zNy%jK^$h(dZV8qfjkF?*SE?aLtKhi?OyN$8I&H=OK9r2O@s+048>AP2!5@%cFnn$t
zNE3lFoF?a{mBOsxKb=b^@&DIfmQMf+`2PjBr(}`Bhbo@4?)G1aZV5B`TP80ln$-4l
zpspO)vQTE5%L3szY>luJkWaS8U<3yk_1YvmF(*ZeXgD{m=QTL3P=}?fLHg`iM8;gh
z)@#AW+i<Mkg%s}u->2H((d4+_@OxfdEsvSb5uau(i9{zILgc<xRIc@Rb4BOmE4)cw
zrSZI$!%F)@lJkwZg2QfH#gV_@RjDA??4&Dj&gdpXG_fBYGZa_Vy=Dg9K3&V@Lp@n<
zw?CVBOgL3wl9;2crv-47b?$>f{<E`8QRQ^!vbKf5zCqvEb59<uD!eKso(pdJJNh25
zDi%U0*Zr^XQB1M~@Tfec0*059#VZTGHS8WM06^09L*OEEq#fDDM8nEyAcRnOr!jgr
zzXm!tANou2lDTMNx=<oMJiLqc$3L>?-YuLM_wg<{>cn=YjFPt|H;(R&*8&$&t>0)+
zfct}yZ%f~m=X00IBfkXG?apQn*f*p^T8AKQPM&B-*Q;;Z=+AqMaK9MV=ucvb;TeYx
z*bPbJSlQs9Jjm=@FA_p<{7Gz9`S-p4lSO##bA0G<-*L16*(#)9c+QjY38(uKeH5H@
zVNGhWGh?+>+UBov9_ywZG-O$4f+=>*`Z?Ocvx8oN9EnqgwNw8yN_bKR2b7y4r68%1
z1Ih=zkTk^s^#;Et*^YR;AYkh2vEa+zk3LNjgALc`t)}TcZy;G+0mF|4K?igLJL@K+
z5WXon+8H#-mh-8p+2oGH`YhWW<lzsA&@XW8?Z|q%SGVZlSpL)U!`CGTPWJd7Qn(!J
z!gOgU-2BNjle`eL-ur);H6}oWBvI_Ii*}w2IqzUk@rJ9)=<gS3`x$4u!RV{u0z>+P
zj=Y}Z2|A|BQx0Vmho9jEB+GebT}w}Xi(QtD{rRUHAO{b^l89mVTlwaO*@DoGD%FXw
zJ+6-i*2>OXRWqd@IrMWzrBlk;l~tYRnZtj?Wn@+m#a{D7Jk+z}q%-$-v%Vtt{v7kA
zM0{?|{5M;(93jNy$AhyrGlhR4fpbm&v&JLFn(GWrleGQ3EFs&aLvw5D=s79`f7ABm
zn!^m+C6<Gv6iz57(3>&SQj86XQC4rAZO6ucb<?yLgwHx_1aikl_;rY<^K>R?$9Co<
z8;A_*gXFQH0kmw}X_FT`)_B#s`%_M4q%#N*2{q67BxWd*(y1Jp9ax~RQ9DjMWX~K2
z&mD*UB3JW*!1IdC(}uYUwT&L5!FzW62<6ugmoDA|(m&M%u!m`6KYDuU+^&e&&(NAz
z9C*QJt{h~ut&@^(_0CIJiCP<)2*0yn8d&qKlMb9!Gx~5XLkZHV<xOa!VV`<1KY9uT
z*Kn#<VWyl*m)~A{pV)yadpg8?X@bu40(|M7sO}}9_o0^rRJFcs@oH?^+NfN;nkEP|
zI>WK1gvmggr)KX6ZTp1(*>kKusePqQSCsoB!}ttESacrESBec**`t7{d2%+i44#r5
z-3o$PxHT7leP~ZJMBpx+wPNAE{cD6(DraFk!)Il%>EMx_g<dcA$GMw)xo$>^qkL^#
z3ND+`_5I}sVeNajC`tfoW~v(+dy@67YMaY<QivAjWiCLhpTLG0PTFoMT4Ckw3U=Qv
zGib;~pn=cyb|$3oa(Kx`bzsKu;JV{fUDs&U+J5LSbsN6OkcSBNu-uCS`*)p{*%V$>
z8AYFMHCU1e{!rdu<5MEHb7Q3Y&P<-%_OVX1b@9zJetaP&6j~6Vv412(wMb^RcSs59
ztXP!a-M@W=F>2p<(r0#fQl~=fL(%sJPG_heGSEt0mVWj9?j^O)_xCuRBoBj1W>SRm
zb-arwjT^^a+h->8_>)pDsAQq-UY|&}$Kq=mO)uyD$B3IkPT32rSzFik{uF;SA@hsN
z^4>M#Qa{_QfYD81&gU^0tw?Tt2l@fV*}RI9gWF-j`;%)_e{1J7#a5r6wa+{X@7HXI
z!qA{Uqkmvtv6_Fd@Q<%D+Hae?QnXeiv>A+Rdwg=&E(?M|;hjGP?MMk&=yASPLw|pE
zsU&pIvd`j3yx2-UY=5iT`}YTw_rX&0r~QfqSF=EsEMOzAeJ+}Iwh@!+YN>T*o<>Zl
zdgDzc4a!`v$lD0Z$rfC@e1)Q#ZSS7m*3e+y;o|)}x+jGiGSBMMs3%M)PGGY}V}u)2
z3a>B^wL6sd$D(MA`AlNtpSryOD|c~)h0|5u4~olfFvX16`3FZ3->dI>7z9$pHcP0z
znTdGgUI4i1l2N^pvBt$i;85v3;D}O4{@p?MY*q8^I)vX##?6hmj+kiJldnj<fcAl$
z)9(MgP;vkG=FvwLw+Z({S{Vy<oW6|!`25yfC=V0yOl!a^*)yha^NFU$!ZijApx%`w
zE2ZzOcy;4%hZ>E|??G$+Dfk|Tj3oNq-E_b&JA}iUa+0RkX(nxES;orY_i_%Us)mic
zKvNnx+CL2nw&TBqW9K|Emu1)RP3Dd1wRNer{*Rj%3-SyapYR^g+sJ?oKlCEfZeE55
zi`$b9v8{Bhs{Q}kMTPLgKYq{s84*K;X=_Bz!Ww1!!0*>o{`R0ztza5`pBSep+6+`r
z@Qq4|gI^;$F4~nLQ=vQ8a(eyFw*lCyuhq&$;2SiEnPM!VS<z*a#vA2JaRMiPH97N~
z;Tu9`Kt)eC^0FOzN-yDM6R4-Na|yT8KZ$+l|8z&m%OC^Rq%rZ8;=R-vu4#%xmjs`a
z7r#3I_@8fE>+CKp;eDvQgm6PZ(WOPRHm`c4oNMuVeg&PMiko~BI`Iwxf?TURvRPb&
zh;}4-4KG#yI`Dy@U{k1_5hasG&=j2bH5BA@PKd|6`S!lh=DaFynph$2tF_tzJO6KJ
zQWJia{d_VST_d&BoKIB0hnCPY_qqt?lwHYW!~$-D2pQ;7cyQisM~#T-IKQ5BZ!0hY
z%W%*bJ20RjB!EOj+XOt$+HOWnAl-*N?ecv}Y?Rco`+o~tP6n`7A?f}*pMKsh)=p_3
ziC>)b@ijj1j8^yc+37P{58T<l82SD4l3cp-FK_TX?(<(wv7p+`BE|*fee!aC6L?i9
zeSS_AW6N6ggb)nT2|u1;CK=>e95Z2aHLW6bcc;!DPaplLA!9@K3~iQ|``_vK*8J=b
ztx{QTLr&sVV)%Wk0Xn0uCDBRC&0ty)&Cu@#0gpSR&|C01o!v?J+?(?CB_Lo)Ucq}v
z$yz0d+Ro%}kZ?j1?Q90Z+D8(Q2@K2LGO0-0L}t*mXvbcwH=x@6afQqF2jAD~s5dtK
zo}4ZRY9^zUp4URDX(MjE#kkW(Yy3?(jt1E;kn>Jbn(QiIU1529;p6M`>s<=yhN;b%
zZ4Hf`G{Vwso<O}ZwjuzPu<4XNvf(h)l(q7Chr43YO02K9IGV7-!{`ST`!5!_M8P&d
z@D;nPb;eIYSoeR$=r;LXZVK}&%HKZ}RR2@8?0q=1{J5=*8O}LDE|NBm8O8Dc0u;@)
zFe<9dKmIMm-k+Z0m5gAx0(=Fld>}0$G&x&5`^^azs2u%!u-TlTkT!UQ=16l=moerU
zRh#%Lq9!^?<PylwFTCNUp4K;?2*^T6eyfONorYQ5HnixLa#wg)ZqSUn50W19oknps
zCSb|H({ZP&-ilIJy9bQIRrx1dmkk{DC+b~c$9xj|ZYN!&nT41_l_uqswFQ(Qk`3<n
zI-`HMjqN#^c(C<R@V{Ds+>VrY${AtVx7g`3F~~451m0y=R~j96m_>^0DC+C<=$l<Q
zc~`D~a_MSb8bu(bXw1fsk0Y1hY?`9%sHSttsYdwlg@6pg1ALXJNz=E!T6w5p&yb&*
zYk}`x4QX}+cp4eur|Zv7nrlknLmhIXzfaV<@5sDV4a)MHO5X&&?cy5Kt?S*@DEMeH
zuO9<`{YRtE-HiQV;v?K@*{6nred)Lk$uu2R5;?A1*@aC%7&M(4)-b<u?0JM2htKyp
zmW1~J)JfJfCV@49YKR|lPuCsM5Q$!+m3tyEOdQ4#bHPSl_V8+jdx<xxTLF%RaDc0N
z)ePfrN0qu;&Ra#Bo27^Noq@oChA=QBMjI96u05X~zVRW!<z1fJ&>aiZ{HMkP!ou6@
zyi`qe>Y9rs`yD$XgPd%3jE7!B+?>9}RGb3Gd`=m`Ce=Pv$JFSDoAQTVJ1I5(mj0rv
zs3t>P-H_Hm)3PCW2Iz(MlN}NoIa{#A8Rvmq``QL|j-qR>IsWw*;1qW@KN_hh@)vh=
zVVNjbYLXMSs9#3LCa)zkju@|s!`b?U_(PJ9()@?Aw^{#{%-LPGlnQ{h7dO|-x5a`V
z6`pOS32_ODx_`)3V`CXKPwEnhrS9g&&l@qGz$d-}>y<y*qF39VFB+-xS2o|A9}x?6
zq*U!lOw0J>W^@J+JwwV%JnMSu_bYmwn>~fwFH<(@(F|05RlX}`uKh6ZPSBe_ek`)Q
zI=>vx#hNR4`_z?`9txZ&Wo{YlE)O^Dm8aGoAaPTndn&tAAIwccX;<BsH~%@jx%d^;
z<bR;cY;9-K5cB<q?1uVyu-w@Cm^;NWv@C7!`Fll5RahFJF1Qe^&Ilot2CSSv-z*RR
zc;8NIU+OryF>kyUqG6)HTW_;3h}iEwnmu$1Ih?&%JGEArv)sZNBt==3#uB&t(m>gA
zk%J_3_AL@{6@7~?Y4P5@h&tPPi9(Gcotj=<FzXTXtq4}c<3IuUroyEpST*zxHX2j%
z5-BDCG{h(59hDW!RaC4xEX>^r-MdSnCZZziE;6A1t4MkCyRw;C6@I8hF5X#jO{HBS
zgQJ;xQy}vm?iOwaZKxQ~GXL`0X;Ap*6VHGrcgUM^-#fVK_6?a_J*#BiK9gIcM^<)z
zmN!`ljz{Ux;9HR%i?3k%zl=)8jTa1V#R9@H8d}BJcq<L>edBwBNY9~XqQPe*n?<Lf
z&01h@)ymJAbi~z*u4FdgJ^O+CCHPl|ws58y>ONTVHOKDwv2v$%j@ip_PU9qr7p+d^
z-P)tRbh<|Zh>sU-2<Es^y$#G|%;C0`1x-(4YsdA>&495+=Fwou3Ox634;u}@v^n@_
zMUz&IGE%0=1wUD9&9fv2kKL{M|KncC)viZLxl;>XuAxB}%0xzaN5G~6dX|P1uTm9_
zLtis@i~D#k_Zy?+OmF@rnMSC4=9}1)btX2^qLE1wY|fTNty|kZ_sv8c+ZYW4jI)=>
zp}*}riT8SF$qAOl<{fa33;s*NxK9@IzNR17+?$`C4Ndx$P9{3QMu67SN9~RW{vBIY
zR7j{72uxL3a%^oZU3<u%yJIPJMePj%gVk&MMrPo!1LR`Pqok?*_-he)BOLs^jI#rU
zP3K={ECcDERepi*;&Vj=lglO9v*emozNDU|(j)_>1tG&tF`HS)EpV(N0SJwVK^VM^
z{-cc){(G{c7)^YZ3GoELUKf;qeFar4s%_zf%GzCb-Ex;A@_KnNiD<F4EF<INJ+csA
zd*Z=g9kX%)gB8~{Kdeq`)7FRBhb*@2=8qjs;(dp6>v3eY%!i%o&~;5nPvkm}2J{}k
zGHf$g)PmksygCYe*GHyjh8Je>{Mmw{Ssv!RRy^uEiEoa*d!5XE`HYQ0SG7JS@qoRT
z*ICu5*jLe|m6JF0!`?WlC#MW4*#Ja6#Qv5?NM8x&Jdj8|vz6QTa*uCg6=-veU|gyu
z6ONqHr(-Er2=+`&FCcL1w)>h0Irn~*6#6KJ?jaIU7TRMFj;%*i&IQ<ZJf2#NjBr|W
zQm^4Ip3L}YdGo3Z-+?Q+RL6Oa%<wG#oz|y~)*NO02GGtjlx~~UQmZ`dZogCO<bsPm
zLL1!rPBG`nW3kc08`s-cd>JSGr$$!qy5XCRr+*Hi7P~FSfnfI_=<x@q%G8O(RP(FS
zT0nK0Cg-0^=ID;{wd!>5bXMNqqeR~KofmUHT%C^iB0R>7GFA_yZ}pU3xL&#NY<-+3
z15h^GswQm=oRjrbO7nwg>7}94)!4?D3;R6yG!cq8tXBigO*3?o;|}fSb>#8&fasa?
zvg><tp*gJ88VXeDL>K3^`Jl;kn<Kshf(mJ{*ky91Hb3}`YF$BhImlltDw+gC{0xeZ
zeN1=j8|$s*(zfppr)^l87_?%E{DBmsRH<}^YWnN@W983enOJs@+)k1F)Q7U(Gt^v{
zufI@cfgcMf-7_COi0YnFDn~yLWc}{jFV)BsYYbNX7cmR#g_8sZA_Wbk9%rAjoD_2f
z$_F@QRz9i?5YwS!^IyGhU3OtE=kdZCa*2z8udft0J&B+vcTEbxHQUM5^S~eansu5i
zh^KI9__lFmOdz%7s6}HyA*q>h*E`Z$x95iz_`v`aVD%@bgrqvems4K!Y?e4qm1pi8
zZ9gns$0MPMj(z&yfRkbX9gwd*5IBYsI7ZzV5y8DS^kymN!T-lzDx9*HoD<-Muk-`)
zIkqztlk{4_jqCWV@XY<P67@qw)yv~`9Cm(?XxVb`iR2F8W}Q~b!*7pLd-@kQQTcJU
z&a^%6m?l=;P!Hs7r=8%%=h%h{s<CX|wE?aPCAFT{g5<`N>BuvuCGLBnZmeEVRQgM7
z2XZzph%ki$a5A(kw^s1e6X_<QKLDE98#bIs#f?K*gTr4D%T`S!QS)a`dDK@<)f%Jp
zt_CYPC+LOd;-d91gVwU@maz3NMMqkw7FB?1c6u9W%*n5sJ`Ip5K_+&xd1-#CWSf)2
zSjGgh`5xMzbb%Ci72i00eG)X<F-Y%};BPBD?Ld$Xb|VVus-0!7FIjI`dpTQ@{-UQZ
zVt}zjBs^G^q=kp+WN>g-RpXkohM+VS*KHT4f)*c?<W{oPI7yp~R69mPPk`$U-XLvp
zM7{{x!sx@s=1l%_A8+dg{<3vehX-`DwhW*6&vLT|P7Qc=Shi4FbOkT+u-|JxbBAWK
z%d_pDi;vHp`val-M0s8gP02cW$;IKvuud8w+WSqNrKJwa$LA*eq$$H7Xn9v<F`YPB
zmyr8>`Co4#xJ@fq%*oeY0$6RV{Lh8t2O(Qj?$^Ltd6xE9n_+FDgt7;erm}2vA*{^k
z*67(IfOjR6Y);BD<gSVV7^|egE0<mBn-3|Jcp;lP_bDXzXhM}jl=!Ei*YPjPhutTo
z)#PBWY1AkA6j&7?qnsMUs+-O7?#d(&6k;R2Z2*%v1XMPN6;pC_xp<o1K3*E=gvKbR
z!W9*Y4Tn$$-h0<^^JxPFhQ0e-E?=w_E*=mrUmju!EmdoOoPYHZ$|`OS7_nbdB6Io(
zQC(66e`u(Zch7AXo!3((&DH8E`jdJWc2i&#x(c0r^yd)3>|9MRhvlwQ<-i74caV^6
zU=1pe^cbl7s7EKNZb5Y@at<F#IH7CJHO7;B9XhGVE7fGToz=u>Vqz;+TGO%!3HKGk
z@=mIjYs+^Gbrl)3r3@w(xC0=5jHYy(>8sB#pNkIP(-)njW+>JVVy_5(O0oxRWHPzp
zlgJ>VseJBWQ9T)URIdRD%*;w{%r;l629L^3n9|G!u&%$D(^km4`zrZPefA<Y!%Ph<
zJ%W2>NtRFU986+d<nqY;>;NE*5E$|bkP4j;kc>DspM41knQY}ysf=woh^p|l!jOH-
zH@~eV&d~~!`{fX9<UL2k7`W1~F-KszO}A5B-vf`l7~+r5w0hx;llRR1`onkA0%p5#
zFXl6m7fP>h$e3=^h+0srpZFLpPGJqB>BtT~PDvJp0{5xN=Ex-zsnFht723%IKl+$Q
z8Gukcm)Q0~>#j@;?cy}VQY|81D$Gwf^eF3@fW-0Tc*!vD^{`?w)+(5PCZXj4@K%dt
z53;w(i-e3K6+%t2ZwIW>1hZ@!|EW3O_n6LB$kEPhU<ek-uIeqf-3-;<3K7hdrje|<
zK(AA7dO~5D6UCK6R?!9WUP0PlUb#NrW@d9W6mm3(!~R%Wd}?WEgH6Bhcdjoe=KYX+
z$^0q+$q4B`WZ4E9VRPKH{SkYI62?8`E^e%FYbcoPoP}i3m@>J-bZOpcM?;h^+WvEd
zNyG3AJZITH;uB4aiTw+CgAYZXk*E<rngs2ahcV{^D{q)wwdTmd@VpW+7-ykyLMz$;
z8&z>pID4UybNCQ-L)?li>|OF!LQ6N!;(&*H1Rk3<S5aQt-f(QNx=5+huEKeL-<Q&#
zud$`eVOm((+xAOdw5GG3NVOM<m;cT?gsE22sv@_(&nd4bA;;V{FbE76`Xa{MW;xLG
z8J$E!$b%0Ea{1?JCrOZpcR~p&w92&4@+>XE4k5lj8BDe}KsCD=UTWN?1VXz6d^JYd
z<}w5tDE+8H^VRtVSad^6<<6-wvmY{~1`K|04ZNeaAy~6_)0AKqDFySTP^DgMhV|8Z
zJIs@_88cflmSh#H;)+){HBAqhBPVVxG2_@-onSN?7HL-t{e{~ho7T2ddK=$@Yc`}s
z(_pI<4a^+2t&OWdngR3#x@gTjD?!`U@~gSZ$rV1%c-4CPN1e~0srerV?ffL8g5izV
zCZ_J-Y;Lk-JNffbdi!8;Q#zA{KB@J^L|G72wH~%DN$negq)IhU7hu_N+50ylYmbRG
zAm=#Ccq|F>rXS8w^Vhm`;~=Z!+4KxLx@B%`BV8mM@O>-fb}P6lkeY{U_t&e+i3hZX
z$)?Mh8LCw?h^tdQykY6Y5Ay4L_B>$o<M`k6oi`z1YV%Eg$EEa7N~v>1=TY6wdp?sP
zd0vj@8nx$shHiT=eQoIq#u;F!Ga-u}MgfN%C1HM?8?39rnp-vXxfqcrf1hRTQK4kj
z?#5P$0wFFQ<8N9&3W~LBik)*}Yh!N58i&s5(sztuY`4!x|EhBgV6%6=`3VFNT7@<c
zw4=N;#yAhsp|0pDzM`j$$QISo-RS&^-gp%_pms!6H_W{1fBejbCX;5jA+Pfl#r^IZ
zIxkby8pY#}FZ!Jo4!%?{INe@o<u|ug>I^Fcp4%HA-;M2zPH`WPQ+=Z8$$}F&ARg;x
z-G4z5e~?vvePB>Nj*f>2euw1O?-VGWXCm`59GlpC5yWpq>V&kCN>@F#NNs-x)$GIM
zgP*QlO-o{hz3=Fd|Fl<3eKV+9ZyNvcw_^et7t%G`AVO13$Y4IlZ>73jChfFCVFIZK
zS}Q(BkoG{JuD<$7&}5Q^Cn}O)_?jihAwb{5L#RFCPc*?$6yFzq98|NE>((i12ciWt
z8Gq(21axX5lvb)ch-IooM>Rfr_CQM2BS}+0&;qF%U*-^4C|A!Dxv-nyGnbr_u9V0q
z9yljew#XKNN)>YZO&_MRBntGsn2rd^<J@J+k=rJy>Ix{oOs`q&q`MC)T8m_BSU(f}
zuOnXptEt4xKgTY#Ze?yK#)q;vK|Hke!rW{&Qy+a5E=fhQpjcFY-eD8y)2_s!_UAWR
zrBveGlGVY2+~Hmqo7nlP&)=WDX5-_<%7o3evF1IXo%lP?XTZGx(1KGaI5L5_D*Mjo
zJU@3#Ri5m<8kB=u+zHi<RfZ!Xl&E2=dYivEEaqx*w?(9P7K`aNZRxcD?)1u$<k=?Q
zv*$u;+?^{YwsPAmE{Mm4lVs}@)=j?q*6<Z5Q{r6AyH_%2UmKhu=3RUK_gR^BI*37Q
z4kVwAvS$Mb{6j_n?X*#)&GH>K+auNcksH7GuuUixdS&{_*kG%Q>l;GIGoj3p#GDVS
zwu`PYYvo-J5<GR}p44~@G8jN~L*C@IC~+m-<*=D5+|KDxcxx|&xNaihi`AkD(^wx|
zdBAcf#7g^FY1XKse+%e4o4q7d;_P}o#_0RB7jR#npwT!}!vfl^d$R+*axG2!j`TcG
zPNjSOO|FJ*Mtop2G55A|y{0L{ViBkE@MD+qv5kqg@t0_8#(B>4v?pUD9~GtG=3kD*
z8qdjZ%N(BMt?>`^w;xacwgeAp;r-;<`n%=Et3w#xMKmelG#_8ZHI1=mKDow=%Lk4G
zsBIQ74oa9-In3Iap!Yww|76@r<l&Q;rk@RC?GNoqWGSl99ifbr>IpU-ZfFKA^|i~$
zfDD4^sImSGeF#TNQUaa80AJo2df@Udu?XyAlD$I0_iRrI2RZ^$6e;>F_Q}UCCA8&3
z^Cgzb=(UuzA~kCf0qZptE;JEXsb+7Y$uZ>Trep~`S10*JrM&5^vThJfDbEILAx~$a
zAAG#`XG(SYiia7KEfbHe`N8~Wy=bv8H?hRwhx7#><UNk=Mm_}hQj=`03dRRdu813c
zWU}SM&fJ~QR4B%Zq%yHLaI~f^weXa-32xwiu%ak;UvxN801?OM0p#?I*&D|eSm~bv
zObUA5cG<S{4?WJ`6sZ>acl9Ua4IyIB%*K8Ed^5ySr6|n=E1X|n|8hVkgQJf!oxxQT
zCt#x(TClX3r|f};y?kfxHF(V~Srh0gPTiiQk@p=Hypg)6!-daN@D!F=)e|WEd~OA}
zcd^wWvRu@YWqW!C`27XkrSvDK=D27{W06!<FO10!%9>ZtObwkmBkJ&DFNpt`O`3ss
zlGE;t2IO7nUZLz=sA<L7y)%XTbkCUVFRP)$W?nGdfOtem!~ER*C8i;7c=a#4w(hcu
z7{3z>y4Y85ODXjtTTc%~*d5r{xfH-W$~VR|$~31V20*6d`Mx)NUjKTt?&Y>m+RveZ
zd9|f%t=ipOVq^{-<?f|UqjU7pOrlb38kvvAFSJV7E%o2u6BOwSaEP}94-eN!>2UnB
z9f)|D*6&ugtaWu!ZrYqhNS<bL>^KE$fWRRgc<3^Bq*-H-K#S$IiKsrzr&AL;(|4pA
z_}lmoKy-@K()>dyOi}M3x6s3j-f&d#K)8&EBjV24+x#e72~i1|d2pp6s*)|Z4blI&
zEB5jo8y9Uh=B)27e^&T@NBEm(F7lMe=ICUVjB46AY1oQrEQx7nQyFR6a)#_s;xAvo
z&v&|5+L(bRa)q29`J`=u*BjIYLk+?52XL+EIcJjQtXO1pOD%g&Q^q9qYj6Gr&QYG$
zVCh*qFqoT4_m0Io&9FRc35&}*VSPB~cK0a*i{=a;4u-mqf*Qk9itvuaGYZM-EL_9f
z9X~`$epK#4qah<sEMcr6^-K6*#+!UuB`EWoN_qF+^2BSqEUj4Hktr6|Ckl%20{C9A
zNnUpOG`W@Axr1q99aitEpIs$V6ZXM3&-0LDKFE_FtkVqOkv9zUyeN&3>VuIgi^$&O
zZx0dxFQYQLJi%pN=E^K1Dfnc;^mP!B6M%4}4rG*?ZLc+f4m57-+jtxZ|I9A6b)ol!
zZd|fqw_6HJ^_%oD;2UWKRzI}wF;nD0%FzJ=ff-D*-l<;O_Hy<Y6^?h$&C!%?=AHQy
zzTuH7O&Cs`k62BC=vY(Ex?%nSU&_7u>{;+j5v5`$Y}}m#;T`N&bY8L=fOI3QB=J(F
z-oa5}@R%zadvrlZNl2_`Gta-x)BARNXXUw%H0v~uJh&JM7Hx_^uJ{Fo;KybV-)R}P
zr|*Uux7{#z+L6>EeMkSGt9m5GuWenFirAy3)nZM)_si;%iJ?Sr)O>VZIo=1v(vS4^
zJYXXQc69&O4P?tS^6@u#*ZxxecEb3N-3F8GwpumnI&A+YtpadzhWZNP(2pL?%91P2
zOgI_&TiO3+tbYkOqrLy}QNF&v=ah?RJ23?Hz6m}Em&l!okfBbT+(tw;3vTQd2AxH+
zwo3{p82{6_y>ZhsdsAsR11>NPYxodfn4$mcncd;#Df!0cg*_>A8G(c;I+K{Q`xC5V
zufH>hCNy=#r;D2^*~^La2RYv_YZSjw6TEbXGS~oor{s7H@L7YuUC%VFNptZS^TfzR
z^=Tcdc1aPbOe8X{{dsDpXd>SA$SUuqo&QzM6Lg)!<FX@aTs^CPU$F~4QaU6o{$L%q
zoKjt+Rty%MI>=a`r&=y|PD<Zr;AHznh+D=ev!nvAs?2q_a`{rIu(gp(_V|Tk?zxgd
z-{gtnFTiEDrGsFYx&zHS^WEp}4W7d>%u2TSqFyCoNDmZj+i7XA*I4jeO?df^Zq^RB
zGNAN^?e~RblrHYMH$bmW__;0|?oB%h<)&(kQ?zvt@!`2nJ6m*Hn6)MZk4G?lI^YiJ
z5d%k|^JdVM&=t5m6H=OtcZ{e!chWn=4ikX@fJo<}hKC5tNzqFV@Y-Zr?!Jnhnc|E8
zZ1(hB-f*W-3EjIn?9+=2t)<E}_^6%*sNoEC|6EisZyegH^eQ%fhZyR8+)wlSY|Tpz
z&l`gxdiMx>ui)oimkR`b%s)z$j1xj6ONfC?VP{q`#rBaJZTZ92pcVt_DiqiuX!TJV
z;P4Mo;h%<a?MA#ghOCcCx3e8l`&|fC8E3E0zB=CU{3J7AsUH4gxq8srPiac$MEk8;
zcxfod|5wv>$5Z|Ne_R=vsq9f^2+5vTD61%xJtAb2T=U*HA!KFG$j6oJY|6Nm5gB!5
zU#^ku+OF;X-dEqB$Nhu%b?-T^bIxl%U+48o+iGrN_@koQ&LpWe5T4KPP&pso<k`FO
z-sGj90blz7V?YXZ#CL_GCEuoDp%97REw$QzW7^|QAnC(wzy-a9R(=x?2d>Slz~^)r
z34wG=3f26y1Hg$XsoSL0Ze)Cq9yryj*n?HH9(oC;ag$l!-|suVwXqbG>v1}^&GzXm
znIvWQQjY%`uE{<qG!;cT@uKxf|4@%4-=%LkZUS!`9;e2SkzlBAKA&g;jSa0FqLl8;
zUoIjW2;Wrl2ja}$MnFU-ye)tz3k`Y3gPU##w;3sTjEoe77qFH|uRW$D^Mu0ruBEsZ
zZ``NyyuK-RaSM@l)9S0QoN7?}Vsv4}oo-mjFUbV$P}Je$Zu}d&Wy)et`IhyA>xfT|
z?mNB)!73Aqq1m3f%4Hce@PVJN2;w^w{B6lb@rYP$^IpYHBg)R^8KfJqT2k^1c04fB
z(`2sT$j@7f_ECQJXMkuF&Js?D=8~Y=@>S=WUEhz1ZvROuO_<VdxiWHxX{R}1FEDS&
z)*5x-suzXsU8zEDErvHW-1c18F{4f|hz2t!>PR#ljc#B%lL~j(8PJ-Z-VS}Ig|~zz
zj;>7V1-Ymm(UexJ0yVDjq>Q?4#Z81iMskeWGyopIE?t(Pq1`?6!+?EPx6<gksuOBT
zJs2k2$#Cy9xICvc)&8EH#!RG|MEF3>vt^l=5<v=bm`|=Wu9VtINKS$V7)<WWq`{NI
zA`Y(Q9It-GStW<GT*rTJcYTUWzg9v1L|u4@`2*os{<~5yKr=AjukN~+&fM?f0r;!S
z3uif(7p>cy?Q;!)MZCd4a6&Mk+5MYZMWv2oR)6f^!ZuAheK4})F=UVBop@?)*#z^U
z#rTq&F{E`kbc`}{Ch@ZsS%QPb1VgM)e{U`i=N^$w(q=hAi7RjT)WGgwVUPxu_6C?e
zaBy9+299(p%<8}2i`Ga&ip9zh4SxB{)ngemerj=JxWWBMLz4B<KQ1=GbnRebUbbU9
z3(O6XyTd>kPkv<kEe;oLg>LjiCnmg@i*rKT9B_Q%>N*Q%-W*BmT*<Z$y3<QmI+z|f
zD=I%Ty3xQXnp{Lm_&Au6bkuU{`da2$RKg_ya-}DF(|mS#`RDza-=STOP)f)6qeF8=
z6PhmCyEm`6A~I>F1GETN{kbM5JtL?o8TGU-f3pZ-xOH9p?|3$T4r#yP>I%lx+-Lrs
z@k}?0>)wxX_^BbrR?3;8RCw~)Wq+oOi{8-b8%tS+1kRXT>WGAAP|FKWBYN^W0D5z8
zA9}J2)A9_%-W3yxm_Xl?ch{V2Zym4u3QBWQdD;-)WP)n5Bu$$h#|-ia{w<p1$}GxL
zGUA}rZMCBS@sIC#e!{&llU70MR#B94TuxKXd%fAm9Qw+5nqH*^Gt`$*-V3VewTGap
ze@l!ZN%x2AEH~ZChXKcwXXG?z5ats<2kaN_h*`>-z>N#j+8NtirZ2g30L7b%7nz|v
zVElv`e(~E~utJ5zr=h}vAeE%fceiHD3_R0yA3tF8m;V3U03PnwyQDTtJdVX_CyXu2
zkggxAjUHoD<q6;0hHeH(`RtWempk-AgWZSj#LY?I(}ADM&GD|DY$xsod185Yrr{*J
z9i<et9j$o|77{bB^LTzdtPT7}qVw;Gt0cQDlp})#Pz0e?Bc+E!OqcpQv7Vz{x*$cF
z#PHtSgD0+X^!YdMPbr9AJ9{lX2v-R&4>5Z0CA&!-#X~kl#z`$nBAUMs_Zl9j2-8Ia
zYI<p09ea8b$m0)}8@D<$A&z1;@SXabP0Ir98A+(npBZu+#i5Y)+K0|jl}?A-{b_dK
z6COq=iQ4t4{yjaLujs<TJdcg_+;%!B^zC{f&-CZ)1dm(j8hONW1Ne=*egFM@a^JT5
zK_yvht{trtgDO(zq>HQJ;(-K-;t_!8u9M?dH@V4ZKYdhqJXm$c{2q*f=e%5-466{`
zlpskt@|-_%keGWjzsy0FZuJBVNPGdgUMnx&kAKm1-m;t%!uZ|9C^*7%yQa|j(ME;o
z^f(7Yal47eel^2j%dX5zZ1vB<jT-Q|lb&AzV+}*h_W>7fQ4ocxe*Fc^sb_b3<EH^d
zC3<a1`!5>p9m9OpOl-zg32cn8(1S?ni53Fuv;rfnpJ|N*&S;`G!|uQ0lxi>F9A)Qh
zr>hxRv&^7I`Z?V(t`Jkn;W5{(<H`Cm*ye<y!%I9gVf*h<0=lJ^2gK3!<h|D)haHXh
ze3NAP^mieX5o<6Vw3`IPKyK_6EvgfCI4pa~sA85GD(`nyRJ8LPvhFNQjhmmefbbhU
znp3CBOQ}mDOaL_~K_~itV_rtX{PzAFXPcYcbYJ)Z_P#~lmx_!h_@&H;dwode|A}+M
z1740<GTz8vUm?YW+tr7@4WtD6v70B&KhDU{=#E14MY@1Ttp@wQcK*y}RTh92%+G&u
zm9hB|Q~~OlY0WKxA=l+BGNZ~@cUg*hHD<(?6)@yr+uH~NJ<UM)vXDlXp6&L}r+wXC
z>&LcV4er<LxpY%^VblN&k3UB!4;ceV3wa=Do}5rty(E+CRk8C@V4g<KtzQc-pthth
zqj&?T3FTj**mLI(|Iyq;b7OZy>)EAEC3I1$0U20j*nmpQ>$~L02v>pUc6zjOGO8g|
zi+Y#D<g#9u*Q_MLd?zEn9qKt1=#dd5eZ4gWWe_TZ3bdt89NFB&(sL>AKnJhtg8VPm
z?k_KipqsS`L68Att+c%}$VFB8>5L}>BLGqFEi4s`+}S{ot0wNPQX(GEZa5qv3$9HW
z?bK1JcnZ88L<bz$!!XbgSL!Wa<>tOSIl<eT%yr=HZQ6|laUJyF*=8g(n8E+T`8}t#
z&#M)yo$?@JR(}9G@O_8_v2clRuf9;=5C439*nC4k<l=~0uuwZy&V|Ja3^01BRK{=8
zcO*uGia^6?A3R7($+<aH6|XZs>nmYJy{3UhmIs{8BqaFCk1Jz*N32}csf<Ea@mPRx
z6!S+nsW!R>Ni60V$!tj%1A|yobCPYvd|GN?^dMaiMcY4=zcgFVh!1NtfK4|%s6P*w
zuAD<Codr}h5)nWL@ah0&t0=sM&~~9$bC#o;NYdR@Av+=IKkYHSaGoGDzH4?K_%o3l
zGGBa*ia>elh;})A1G{C}sL8W1BUF!xWraX*;GYI)if|1PMHiGp9DBph+^-?1?Ig<J
zEHBG>R&Si6*4e7(ZlJ;H3gpRGV3tjdf$`~z(9<p5C_fETYJ*d@&${-UANk!sFL2dt
zm_`x<8c)vMGdd=`&XB!234NHq={QelF^BDz%0qMNX9;ycZ_>ZKV(;_d4*FW*DcWc0
z^#KDIHR4ykJjlmQKJ#9ePz?XHlz=1;mc5Ml*0PyP#{q?%XSkzH|A9){7#1={1UZd|
z!SUydx13p)Ff2#=5d4FLTXDN`kMUAPA2K&puw<>uf-~m}*%?mMB}mfGiXkn7u;pCL
z8PjIbnzvQG6spVbRrK)(ewAZ&49~Y=)Fg-G^K%eJ5JmJ6&?J}r!hTVEU(Er&e9&2>
z;sNXZk$LpuFC3iI|Eht#oIAfc=I-*3>|afuBGlh|m?@(+E3_t9!P}K!>{IFy>naKO
zo2*!&*>aPu4(s{XfBJ{<Ok*m)ryTwQ4o$UqiO<KIO$|Xf$@#6Hs?6}EbL?0a+E3IM
z=XaX;i|NisBK~XAAByu3H*pXh7s&Zm5g+r{h5iFyh<}WqQ*r)S$Ne1EIsYh9c8NGC
zXQ_H-|KPH)xBNpUH?ADn#m-}gRP5Pf`HL$Uzs;$6Qa$Z6?K+=V5`SXXGk{&?X&K}#
zvd>a}?~jq6D056#2dfRYx<Bc|SjpDu9??q6+rwYMK&UKmcA@~5n&uB-os*I5>@czN
z9dftl$mFLc#HaDQ=bt;H?)~~oxLUs}F&)RD1lsF4^!LdWyJSUl(91=6XLqL4QEVt#
zl<f6z6XuH%^E-<JHn)KK-#SSrO6Ezmg~VVAUyUqyi50wysidd~i<Lz9mO(%(c)ddc
zv6U#<X+UyXXt<mrlowp>GhAkN*)CRsOc(VZOUu&T0k*kY0?y4l8(`)*bFuw7Nn@!d
z)`v3FuJd^Y(9_*q);ZRD{5o$W#mT6yH?NeGR(z(g?FNzrNT9h;;LJ7DljUN>PPcBK
zc9N{>IZegqEQJ*7WOK@q6zlZA`KxVEU+L7-H^{~Y%TUv|*p~+ddOG9u!M#AI^%Kul
zQa$VHNF`Qc;$*%s-Fn<&@+=v=odMZ&4PpGI${{67+$oEHEI6K|47t_`_*;ajHjwS^
z?+=XMxI}!LUGDriILBPF$H-0uBkwe5kz9=U1}oq>2g$eE&&TQHFqtRT-jEhiB%%`I
z#^78C*0v)jt*mq9Ce{J-7|Dy^al*KSFse_EtzHku*~Nx4a!>d_Js*Ps9K#UKrRD@6
zw5Yyfvy*D6V<gYS!qsB86zGmPbKTF}`67q{!#U@cH@}XrrFX~GFA2W1;N4GQ<`_Sx
znvn$MnefYsX*bQ#>7LNJSSdl`RnajLkoq=1xBrMNR9i^Y@x&!bw?P~xqXt4}cb5lk
zj3-+?CO;4A01)iKU><Pxvad6qSe6Ez)<@KTI^+L^GctFwrjuczxY|K$uY;LLES1-U
zd&4`DV3zj}Z{#SwzD~^bA6Jj4qE}0jbpp>3mab8#q11Axg?!g(!nLAt_Kmx&i!ErD
zy+a%=TS;~%3^||uxN2g#wH3$ymfxA=-}Vw+V<Em@SS*h=!RH|&<?6~>I=?$PINJb|
z{D&DdCsd{oW$Kep4{s=sq`TZFbq8YngnvOSZw-gi8r3u!^pBf()<%tc`n1S_^GT{_
zJf9H1dy*iD1ZgV-LsJIfh9E8kQ~Qg3Qex~BK}i~uE7mOb>C`l83{N%v=5=XHoXXbF
zram@L&;slF?vqJHvJFb2ib5?yx<F-$1M|a*k$~skeRBG1r`g9Mz$X!w!Rz0nG>F52
zE5@3kku}d5xhY@R&nm$uKu%B|{~8}!`L^P8(4OnZEt#0(l(N&}IOa#kal2ET-+oQ)
zU-DmN?9A3WdS5bTYCz)oZ1Y*hufOu=at1BfNnC$nPYIAuhrzx?G}Sme{OBcrg-`!=
z%U?j>pNj_`#TesYGQwY#+{++inw*+}Dm@9&s7ENC8oXY}We!e2)l20Q-6tk_$Y|)U
z=YJ$_sd4*oTgBz?ulQVJeHb>`rt?BnLKbTg#OWv9%O+d~b=<aicP@dR^I}=K3qW;1
zx~VZ8fHagsr+qZu^I<6F@2$}$s0t?bh~lh(xzU;spBfxZ4eqQ&)xdGC<<)L^lB;X%
z<xqGjUPc5;Op0=jRUj(N)Cc7HJ@wG9)6ase`30!b<6sZbf(zc$K4W-m6#g-80%G%{
z9-wN@``V3nX>hbxnfky=Jn(Ush^tWyUi`zKip5t6ISX$3)#UlvZO$gw0V|(3bW5IE
zStEVvHg9=d^%7kE9&*n*FAg4r_aXHcSk?e{4UWw0RHB<<|3FF;V&l|x#%%gyQ@6bK
zI8ZTUgamqh=y?6<=KaOQPWTJi^%X^&1?dK<$F(5=tXiNI@V4ViA7j7wt!34dv|U`(
zW0V7mhHV^Mh-;L?ZN^{#d|65TzEM+}AFX|_R;bcFrgK#VYQYCx#v(D2h~^GS{C|gJ
ziKQj+V}4X!%Cu{P)6Jf}N9ET9ioUGI4pMRs+vc1Wx7n`QqwZ%(^p35sW@_s;n<OL}
zG&b<9-;4Rct*hH9_xVE?yXAo9bkKu%!d2&%kic>8xW2zE4*-?-ciPhb9?i3ei@mjO
z(>}7blm3gf5ziuKkh$BPi_4zjhi0^U5L6YigEw-nbuGih5ejWbMF>H{oXGc+b-j8o
z)boken_nCHq54WXCLjoHSJAg(;zx$PCg9J|gAh+jDiW>1<vj}G%4S2kBas`Bu_mEs
zU2D`QIe@Wx(dTgOI+)FX1M=Da*Rg^5k*cCTZ@D)!ook0L3}=IQQzN|nNUSw+?0=t~
ze%7h$;UUu(>PwS&=FLrd5^BtGx@d+Ox_8VTxf+Fmok5UXIy{zlj$mQu`~;#lZuAf*
zdO~JOF!Z%_nEyxW1F4TH*)3NuYe%1Gi&z1MdI9(R$<vIK^3P%|^X6P@0a;fIy8D&C
ztw}1n<9@H)T$!;R*wBf_1&&|!YhhcDG(3c<iPFGY6_m~{8O}DR38TWy+D867$C~at
z-jKo+C9CGVLH-5Ku<brRU3sH+w0-9=FOfaQV>#~%9Gac_zmX0)elKWWD>VbqZ?3pC
zuPfpX$@gkFVtrhPi%MMpA!o-x@~L0b2Q6#?hAglBRO(bYZ@4;P_L$aps!t7Wop>r=
z(Vn;F-P{(0+hp&3X>lQRHp|5^t=~0N`0r|yYSEKDg}C1aud|6JNs{c-G-5W^5JEqT
z4xzkx7v1}}x)?Q~Q&Z8V0k}%#T09c>_1R@SI{R?PLg6dicIXUVd}6gbN704VGsnC@
zzV=aRkbXYF>P?Ug%B62k=&Zq&;_f&|4y|VIo;u)zsUSal+}47O>R<J!x53BeM!+f{
z@TYP9ua85+!QsI;4AIgt)`J#%>?>&(KKqcQ8xwqSsqd&c2@ebvi<5MbvLrGO1n1~h
z*9c8e3V+4km^mhS=<>^2|HqSb*)hI`Q>r)_-H`OU)xakZ4))rO#0d{AOdZBRpep!!
zaZZn%w#=Ack#|x+B?fO(V?W}MKsQ!!l7-1!Rg!6F(eenYt*A<S5qGq$NU|DgL&8H2
zqhKD97tGtlRseBTMDuO@{+|+0@W>mxi#b;fV99ud#2yAvZ5o0_g4Qp^sz4eudwORa
z*#-PZq!sGh`p=d%mW=RT$#|IcK-hzLcPC8T$z?Bbun6&NW#v!qw@K54dq=XG21DM5
z$Q|U<90@{}TbXMa*ixtKRzedLtR%LlM{#~40QGaxMmJ)FWS?{BiuY<3)$U%_(xE;v
zL;iIOP4TBgj*k@x+cY$rHkhE@7G5Y-7X5aEKljAM?Ix){AA4iWN8l9c{)-C*gy5`3
zR(3ZCq(8_-MzCvJ{_Bl#zHviYE%>^Vce^uJkiN7;o`{no+M|Y|PZsL^IKKk&N{@6#
zc_>d9gq@p0Yi~Roqvw<FdZ_$%!XvF#rTWf9XKOC3L&dlSsko3ws?VQ_2yhy%hi;aX
zobCUu_w(4w;W%d3`j6Z)#~qqr98aVPEpJCe|LW`}F!(&z+H@yM1Gn4ys?-x7Z}yc&
zGX0_YJ8=4n;uQbhyE@n&urc^D>oH_LO@oYpk;WIh*yuQ<9dkJMncB>G!4(@$$DVRF
z$SiBn5WhKF@}D3V*(9Y9H#O5EIg{Dnc_4F?;_B?FF?aXQPN4>@a&YnCbY6D5w4n-;
z{qI{xPlMv$LT{PxxIeQe4#gd<Hm|bt@UaDSGvDpF00l@{umVPnoiqM#jbBirV+lav
zAr>=0zHUEFdG3V~`N!T!$HCwzqytsM+Gsn^Z&-b>U1mex`pBs)vq{wxi9olg>Go?)
z>!a1n<`pLgYwUwUXnf`#k5CJ(vV>lZlSsT^)>i6T>kcXVIlj?jCp=<>Wjjz677lb6
z1{McpI!8xG1}hp#^}EOOO2!FxhUkMIYnJnWy|1PIQh@r2Q4X;-P+^kl_LJAY#y5Fi
zM2>(FxB%3u))srV0zdeEtvrR9CCg&xXD<Is%ZfcT-}D8Cwh6iw*hd<yL0C(I#yv(b
z7y&LISgOQWzmZ{Y>+$=7ul`_WA{H>vl{HC!9{?MEvY}ilDDXl{X+|HGE40$SMea=c
z=f$g9YePSKYXhaZigYh%&DXlWJf6=Pv6|DaGV#TGiejuCu5KT!sQ0UlKJxgSRZ;kJ
z)Uib1cu&6wL$@o<fX5RT+@px=h^9LCm{QBHr`GzDZb}*&9+BFr6bk~!dDZX@QkZ~1
z#4&s9{`i`=*r%*rKP{oK<lQ#1T+*AoV%27<BX^O=#Rjcl2aN`@(FkLTd3r<j9R}ox
zy`1e3V<&6Os<RemFF0nm@AU<g4Dzn+u}<_~2UHU>bKS=ERwsp_I)cZLEP$=}EC^tp
zs6$1D@`V7EQk~DO=Waf4%G&jG;oel3mPNM}A<*|vD<Kls#VC$>#?D;sqT8~!`3U<#
z`6cB~zF8;!ehiG4UOu4Nl)nX*T4j461W`e)^qp{W3>G3+n{3M<i7x&e%cqA6RrH!5
z(d>Hv%ttyedNB9yx-E{i>vk5|^7n{-;%AH!Uy5~9(La-t4o#uu?y>J@>|7<crVr-v
zCmAJCraB2v@yZ>Z+RUVWN!kE$4G9VzAUmc9W=7wI=v5zZleS)5yB$84s}ZQuD&5Z7
zMpj1IO5!HdZvX!qEp>GXa#Vv88xvL|&mHd_sFH+7yj02KUR9ITxU5|{`H;JhX*~$S
zAjeifnKANV)CTj{lE;I|)gaFPDAY+-z5>$7U`lzP=U&;yKqq13Dd%~5I<aQOn~2!F
z@RhVQS}g1R#s={`FP<J+e4t>m?v;+U!z<`Wd(sRlWfs#+rI89gc@`7~V~Qn#{phc|
zx+&3AU*p2bp)EDb=Y?Rl5%RLG-$1MY6MJiA1EP^^8?++Sr!)L3=V6T`WPO&Vh~A~p
z$u9Y{xUb>Io0(poR)Ffv+1jPpogR#Q<e%jl_lf}!HYz1K5#v~VVMx|8PAEXU3Tgm*
zjZ+8>n>=%`b8Om3shc!k%;^i}Q#yl)ae{$Les_Es=$N8E%v>=v+*CDu@LVT5_j}Fa
z9?EldH-NTLd_vWcd{OaYMyh*TLP~oDerv6Xr1?V$E@bTx_@Y)^f@`Z@H0NOtmI^w9
z`u30Yrq?Vo%o1EdMdHi}_D}^S2Hi$)ZrklxdwL3Seu1-L($bKhAuNW+ZCgGcZ_*yl
zQp|BDukOEM$5jrDdki3QNt&-VX4bx+n?$vdPB6@wyNq4+=iB5$^Cr4#*Z5YF_4B9x
zc>eeA&Hf?4cf7Q+KrQQQusf{cSi5pVUnAD9alc?(+Lm;4b?u~0AeGIfi!A4^A#Y>k
zZkDXili__&+ITo}zwpR+<C;JWK&G5n_kdMB);@nKsMuWL(diOZ|K9dmz}4jz)1QIU
zkz@GmlJWY!TvvF=e)?L#my%N<h)^Qa;T}k6`53VC<PU)v#HfkVMA~J0UOb*%oe+)M
zf6?_P@Z{p?=gulCV`kr+#|3Z-;bpc^y_Fn7oZ0b3L*X2y)%ITyP79}4M*#=C`wRHI
zA=~jE1;mZTA2wQ)zpNIO;i#u{{ZdKCkLsbR<I_V4T_KsV&B*&rCqH@wPsxf~{mQGa
z0k}qq!x1=ds^Z+Cmg)?GZn<UGHo1|**+eHZ%xA8*V$g}AxLuFGkI8c=uSPNpPUXj3
zXVZ{e17{hQUx1iRxcVFmCQi9B44!BtJEjc=-!VBSh2PnDO-JDA6H)41lWTqaU{vdG
zupw?i&79Gj-pgbd0a|1}ds_{T0IngKsm~!)7ky~GGH_d5=>CS_P}<p5@a97Wub1sQ
z=cUntPS(DpnIKXYh*q-W3hbd-#tZsXew;nsET_x2Q;%s2<cKc}RzW6AjgU*_f1wp8
zc`p!pP2hRnf7Ng2bJj-5mg~NV#LQ{M-kfP=Ne!wt2}2yuA3c^h8jC+p0)R;nVyje6
z9<P)@?KMeSq#88ZXv|wsF(f+<w?(|<c|B`nyuQC>oHWRVWN<{})!FE*Vg<z(X5j|O
ztwMi~7TV&fg6cOUXe&CbTMZ%?@K$eeN>v>hJE~gqb!q?hRkmc&NGHQrcKLXr49oY&
zfKmUt0E91WRZ&9(*sB(IZM)V$ShM5|l8%~*YeI+?zca-lZ||Irv*Y-zr0Xm<RFia5
z{@nf(9>m}GqdavJey?I+OJ;n+8>*UJSMIp^E&Xj${m9>0*6#m`=NTA3v+oKErFeS&
zD$32rq@S#w1!c7@PQ3G~++T8K^r<V*-dHuCJ4rLHcIGeS02+GYM%>a)t~a$(&f_UX
zVhRu$yJzBL8$I~bxE@Nic?Poz&O5yUo_(DbgCDm3Ck(F#Nu-9m@?9`QOBxn$SPr;4
z=SagzA(y)cdQUMomop49R4eba&H0=<KB<e7o*~-gv7k-<U8hk_M9MI?9Q(MgjcdOk
zS@#e~l#`Z6Y*?1@=`^NS9#Xpqg)3=;+O4^y!$<lHcr;svBUuZck`=EFD5HB%c!jU4
zyxR>mIn;Rd19e-p?n<@le3Arsv_p4T&A5&-o3^a~AU9N-T762!@j~#o4@LW5V9A^(
zLl6{aN-9?y6L%4&q|Mn!SoM!EyLDxwNWlNR%qkcMVkYPo#_I7MCS9A5UCx%EF)WRx
zMxw9HhrbM<z!Ppao@mwue|u>dhIrS6D0)&?$2Ws`F5CI~A5~d#mg03=EhVS8MxGj<
zV?VdsoqVy%Gp)Ys!CJ%5p|T@WD|Y35>w0ItJkI5tuuQf2uv7$^cE=oegJgovw;wGd
z!(TL&^*=&-!Zi((0(E1y{$5@mBEU-KFR$0FFIS-CbfR~BkrBcB{dIYnT*v*G)*T=F
z1s*vg!oJSbr6&6l7Dr;aR`7Li=;7scp+`D)<poJ<7FxO<9@oUg$21&<Um_9PpOSUq
zTiPW~Dk<bo6`m@l08BjdW+*2U9FOj|77|WMOU;tY1o_m}($-FM2c6ehUTtmNGCApc
zUp~74O6y(4O{aZKnI^Zl!<CGgI<X&r!_0>9rxaZYyREc~r!|uEP&I`b{XD;gqc!WI
z0b>zt@bmg<XO;4_lz@d>15#nTsx8?)#~W%Q^R~GUK4WV>0)IXLbBvub#QX!Kw<~|0
z0BB1GDQBt3WedDBuzbKP&?V%MKs{EF-192iVb8H_pA0&1dSZhb&j;INYiKO(*y5G{
zToC^0NYV!JxRzS&&n!$m*1cKbeIsiqbG@<#JZF41H7!#CJ=`8>RpY$wTpP;!{kS}e
zoJ4mU<3(T;HkD4vQ5zR={4vE>u|hwOkgWo6_`lcBlR;@!<K%8{%5ayQ1igq9gg11%
zL(LmZ+->+<3~co0Pxn8p9de>6MFecGZuYnlA|r2koK0L>jbtN69c#^`h&plf3t!Mw
zRws@2LbBIo?e5-uW$sF;sbUm#5rN?G8odR~P9dn^Ju>-uteuS{CU1Mnl`l4@NPmYh
zEqkVK`_c&w|Na$!oR|m4y1fqi;&>6OmK9B3oCcURJvlI^Krkkc^dB3t2mavbn;hFI
zV|O<y#)Jj#E&ufBbKgL#bDpAXYH(rMyOR<PDmk8XoH`|g1Oc>qrGwD30chz8KnX18
z;_mJks?8_KxO&eRg9qrJKf@jbx+5F{k9SUC+%pP(BxgbsXIE00c%k-7F`OP+bL|#F
zpDgO(eqo3q81E2Mr1anc5Ym>cYtwGo<|qYdStzY*A<|yfga?)%Vak^-w7zwh=*2-L
zf?A_$e>v9m&9}yCDm=1u1@Lf0J)-Ql{yY4WHu%=}wI(yV{Y9sNwhxHO6BjNNkeoEL
zXk4el7j&jIbjFm*5R)Z<`N_kCQEvAKR~aexn&=C6PTBZO?5(J4n8#KrTfDsCo3bjL
zw329WO<-A-tT{JDd6N5pS;K&dd+0qb3WG2A4Wdgku$I&P(*^{x+Q+|!VG>UETHbp|
zjE3O_tJ}~Wc`y=^OIkXbcZ^e11_a<VPn`?{SVJm@6dZk;B+AF*dKzTYhMwDK9DO32
zJ`l855o$QyXP!H}gKw7F10?Q~Tc^1LzO43bdD1&)d$iVb?>Rkv**>a!*wnNm4)?#s
zeUJL5C3OIoY|tdJW076n=Qg*wR<(w$o(l@$@;PSci90=_=xUQ3@x0(%?^Z`YjW07O
zM_LqIc(C6c*X9=o3(@d_^Dci6o5|q=xI|ZK)5YH7|118Ld%SglUBa9r<fqRf+cKyT
zBne4z`}!gy{x)Iu<Gwbpk3M_e=Rz5ZczaqEVF7_A)ji#g`+}1{wM#;$O30i)!1)ER
zu5c>+Z%btjE1{>0WrS))d+Ut4wqh3oDXn|rOmtI5?jZ8~_8c*~eiohb{&T5L8?Tq%
za6?|ojmgBGhT)6I2>HCbB9{!`$wS}h-d?L^pUZpaimlP7oey8uHDn586K1ohm}vo6
ziuL^q{<;-B^AFYiwyi(SD6-dA<g~bvpTx@fGyGV4gA#dHVg#&4ANjC2x>c$eGXO`W
z)=JFKJO3Wk7I8JwUu&(qLx4@D&j?~FyF0nMc}ua^#HhaLJ-(l;?eOBs!|204y3Vmg
zV-F#+gtx7!55+6dq@4PJ?pXpkLP-@sG39}O*v`AR9IH$sG)VpY?bcW%1L8IB+m!(=
zk@?&buADmPostoTWedii&S%`AJsTNC&s)Vq|H)cu5y3~r5tD9-9nr{Yo~o7KHul(8
z7;lS2ms?sQ0(VO;OdpjEv`8CdfEqunbbv!Ay8H5KPLbK|lQG|lq7#1^0OIsF;qf;v
z^ERFU%0#A|x{5t&G;gj=ehc+JmrIW8gkV?gTq~{Ij5PvE?{w#v3xjl&0s&E;J7o29
z=1-f+VU_iiZS2X-O#>MPtY}tFX-s~4h@zO%f=$-$m&X1kk3zhh`F3l{-suvfJyAP=
zuX`N<v|^+t^>U!w2nff@Ajhf!KC$4V>$dc%e@#g$`a0VZ#-o2#vl%nJNgsY*sh^?G
z+xN*Tx5LW@Mi=K2FQ@lfBkMshsk0y)D(rk@W=kl88-ePZZV~aP`s(J_o4KlJw|yYr
za0)p|?Z;|*Z+`qbw-nfEhnaeR8QGx))e_m+CKtv-Ap{zrS$0**__7X<I0z-A#_h2#
zTj$-~*%k*)1r760VEWG34%`f5b1gN1twb2ffO(S0EbYPnw$;~157zocC#F<Zuil_&
z`|03AJ<K_72o_VfV;623(!!ZfWxsh)MbUt)G7&f0?f&ONg7m+VzO0z!*zHjQ0z4(U
z!_;Mha9dN)-(W#W;_^5bWT}~RzM#uqzv%}?M@m}ac7tZz?YW}<tzE6cITQ<C8>0K?
zi=KZ9DF%X%iC<qPZe9f9Z1%}i)Ih}0xdvu4vaqeVM^f6Q7<Fmf(%KdDWGv3Kh_y=5
zA4=48>A@@i)m2pWuj$|Wl!dWgz_nKN&HJuA+li`4?3=Hfx^n+QKWQ3dHH0!GCUla6
zQ;JRg>H*UyCQ}H8A^2*B)GJeSE<ce?v*}CI1E>JCsyhUl8o(Q#@NXg9Locei&3Jd-
z8rZoe{D^0q$+rVyrfe~;S@dsScc+W1=<UK~(?<f!aMa5Br&!6N5d{zDFneAv>hjZE
zX9o<gm(Zq$Ez>7={LcPrjy+6v__tX5c>$9oWZ$TdPISKOxb&3$n7<$<(owIa!m&Oa
z2>+5LY8a3}5c+g^+3&k1`sR+W*@U=Ed<!{<@rXL7`IFT1!l_1+x%_l#B<pUk)6|?Q
zE#mur;&DbpU|8lta8bnQ|JFJ)TSJ%KYVyO@{YHj?v_PxA3@;v@c)`ilFCS020q^0n
zj;Ha*AJ!T-;%<D-PdGNC0DPQ)i88Ps-cf7J?wxN>+~XgBHNdv;l*Fw?icJvfv`c7H
zBir7taPk-yY)B%*|HzIFw9uAafabek(i4-+f$mOgQcDzy4T&=(u_ix>G6oK*(XnTP
ztS4VlK{fso6;i|B%1)&o9|vjIy(i73w9I_BNIGqVihbINS#dQ6Jg*M~2Wyc)ucaQE
z-p$(jVjm_MxpOq{PII$=79eZnlyAL52(0g!ZTq6rcGaxy#C39IH3Mjg=S!szhz->l
z39R&0>L2S-34F@DSmKtG4Yr?hNf=qd_NZ`Ge6L=tgcP#lMw|vb?fex|^PC21%xPRl
z=TyUX6+1Ak+b!dOaD%6o;fpgm<cRSR0XGT%A@G<BwY34qcMSQ$g#{i|-yW8>(G!!d
z+bdU}sP2u`B+q|kP20Oo=iaR;eUV@Lw&p|Whi@74)t^?OuXJcz-lwZ#x=Wj`X$G6X
z;k!0C9diTvdv|&<U$O=eP_HIspM@L+pZ*q>Tx`x^+&{p6{A+Ew7nZ?40<YX<B8!LS
z+hZkbAnW_RHJ-v7Tfb7l1m)1Kdi%-2=RRN|wx0gywZ1RM&#w6Jgv(RZld&{#E@Cw=
z#zf?fyp>#Wk=Wl@6~noc;l*o5{7$O(FN==q`HCY67x!(76e;UdfNQDPiBZ*;oICzj
z#vhXb2zoI0OTJI7=;rgTEf0@1=u7<(MwSc14ZCfBEsFc}%zOOGxf*s)pYO~YFTUaS
z6?EQrLOD9x#E$aeg6_Caz)|1t6X<#VNrRRLU^8eb&5KczRb((IZ%8efJmqLwPrO8J
zL*gN14$A+6e<Ksmap`NR1QTgjoF?~Q;B!9deo*nNC`vLtBaYJOt1b4tH%uEWR=zWr
z43!2<Jn1P-Stb2hdFf8yrK;II{Sq~}6ypfYTBGx0X$z)7OtWGowYU%dk*r<r$~ebu
zgjD;=hNQPv`_!_jXz?o?9I`I-L2;xm#U{DOz{QP6F}^8bBE+Y7p~hp}NA6kt3cwPT
zOA^m3?hzMdi!Vm`arnOO71l(-?<>E2ng8M)T}s%mBBOWvziFO(Uhvkhye#?y`@29Q
zxi;Gf`)A|!f&Vzn>*zRkcmK?2g=oftuc_C%U`w!Kvi3sM^jPspzWNwa0VDBXkHOiE
zhsg^nKNL_~IAv&emEan&-JAuSQqPhmD11C@O0%DTKhqIW%{JX_jJRLm_9LJ!?vY7Q
z6W~hY`$BvrE)J*BB>^C~ktYhKT7;0}q*}s<ml($}4lxI-&z+J9BLQ4{MJj$83rm}|
zrx#{@6!UaiFS{=Bc-iQK^|&2j<~fDMEk{<2MRm2_s@|9EEZni#Q855(^3veC;dH<>
zY&Hi*$z60biHVRO_&JDGA{}8`hFg<WIO45T&t<)iIT9qT6kYFQzH(FG$x3`C$6pJu
zb&@;?@78FRyv|uwp=`@qwtP)4=M$JdsDy7)#Tl8`owXR_nI7M&ctAheQd4-MSA2r*
z#8>RBDBZKd%>!pLMl;VOinfm~q~*`0L!pIdcgU@dDKOVxr4>G2Q+W4iVrBpOTt=7c
zV=dsrIeE7i+HO6RTlTYyvd`f9Q_;3gvi?D78gVCo$|lr6f3&g{x2}(=+M?J}+UF~2
z`kZ*6e3K7x%nkO4T)%C4*D@!V#0bpDAa0geU?C84%;h|h&$XAUeY`d}+6p$clDI*M
zU8$4;PXal{vrzYUqKTTPBaB3vXXA(Z>7~td<1=Mk=tCD=t%7ta7Ck!kzr!f$orvtK
zan3usxOGklWi6-c>!+mq5W|)r_K6MM2@{qTTCT3ch07nH#9hMI;ywi&0a*`@-m$J&
zX<j2V{lQa|P!_7D)~9lJTBZ*&y;GB6#%8Ev1>N_fjD@f*Nk)CaA3qH|N`^g2f=R=D
zsEJ7nXhKazh`spg7rUJsyj_P-5aJDD6oqLm`+5xEKi@2E*--!MY@KWUGlNS_;uP8d
z9l9F{&(v>Sia5bGwsZnZZ7TbDFHb(;6znc+o0rt`lty8e0KQj+zRB@(0L891+8+O|
z;N&!WV^$6Sq;L5rYCk$gkdL>pzi+vbvJh^aQ4|M~4z^6{Lf7*QO2qxDov>0b`_-1J
zJqYo75m*Uu=jm+ZWqd43s)gJ>Z?fbp>95$rgE4Fk7oi09N>wIQWm@tmPojSWSu)(_
zmM-e_GWbB`pj`LLE)L&x$Z9lUr$QGXq`lBT{#^e)ShcdqqGxrgS90a{%aa#gTVZ0j
zb(uSP6*?O>+8cQfHb$87aM8}KK2^uu0=_`7FSSyYN>0*L-UqB_cPXkZDu%+{Ip_7#
z#JXS97a(|rArri8G9oeRroYjr^y(iI*ZxQ`?BUF-Kh4~}h_5R?NmL(;>3tCNs6jlH
z$Ku9M2JW0Ex|s|`ihhHDz?oRDzF6W;5&`Kz$ay{YO?@ni^{3?K?|Wv;&BKyzvE$=E
zPbbi5zZ*rOY>Ehl!p@_#z;vmbg|zK&@ZP}6M%2pF+CoaJ3i|{3emUz~r%fEUwX~`~
zrD%=uW22odNKcZN2Fz4e*B|V?vykji-E-cbOgYX4L|1mIc-=)+jQ@ud#b^spt7=@u
ze0fKueuw->RU>sV;6Z*17Fj)bgK}5D=;Fdg9zOH>lflLJyR~HNeABJQ8zv|q)c9);
zo2|jLk!C;cbB)ovAlJoP5ao>eyl<9!Cz!=cqO;eZG%q%f4O}_0QLN0j|1)g8ZiBU5
z|FxBUoeX6^y=eS(^Ig<S(I$ch**b~eha;Q9oI#cBXPl7~n1)5kiG}AXLl-`2d|dxF
zn)yTT4A*(4v2bPfxK)6wGC?ZZ8!*c}vsSmfG5Yps>y{6+vNSr9nMZBU>XpCOvW{`n
zw5O}W!qwu+^!rVdZko#Ed;7ho@029#9<_a+yXCkTK*X0p9^id^u@TbDGOB&7!Bd&P
zR@RBIh(?*vdx#YVYTNDX`AsW+VDXBi+E)4F%^gtp63=bRv3c=v$gPQFfQrfUzt2>O
z^FA%r^Q@JS4bk1om)06xAIn=XZLMD|m!OC-7rPwYW1F65r2BL1xN_$)&m?b7b}wvh
zms@th<VS8h%fLy@D6o`Mq2mCoE!lU=DaF_1HescrXeg~tIf{IqTSVlVWZKBi!)l}k
zTaT~yI7UT^5#k$5p9)+8a)9uLvkJ0*`qSOXozyQ%?e|?x@x^jY#v|EjJ}z8bNG0Q)
z(m+&QYt~DrX-Z9!7owMLHj8jcREp<4L8<I7KbxlKo$q@xEnw%cduS~BDg9FEuP)S#
znESi8Jv{a>)&0OvFU7o|i4BK$r;BPAVV+8r*X{odP5rVJzX=4NWZ}s?u5o8HWty6u
zF8`V0C*2n?E;f^`+g0FDjMspyPwZq^`A9>8a~r?^m9ewr=6exaDY6EArayA)=5%Y$
z!2|zmd#jJ9#d)#tiTwc0vWsn52d4pH2ej@a9{gx)-wTx!Wb4WGG@nGb#&Eg}HBwtG
z0}3;hPM?cC`E_K8f*5(%{W>YJeAC{oXN3{}I1tQM{MT~ve1osBo~IHJ-*Uc4+o+eG
k|AI6y@fRiQ_?;65bCMIL)Tu5%67WaouD)i4y6vm~16nwkn*aa+

delta 66738
zcmYIvbySqy_dPH$G(&d|NSB~=H!3A64MU?eNXNqv(y1aygP<sll+@4&2&i-p(m8Yu
z@f+Xw`+k0FJ+o%bnt$$d?>T4hv(LU?R`6=q@T%-w05hL&vRoV-<Vu}s^u7e_T!K(`
zGlGp|1cB6E0+Rh9?HdL@X7yh*^`8=ySsduqv1#DScxp;%VM<ffT2o!L?8Gm5ELz7~
z*U$Qb+_s+iJUw~V`r#-vcU{3xdObI2uY7CkGb&)@ENVsX&S5Lh%cK#vK797h5Nj5H
zd>M{w7|@^ab~$P;*+o1faTOI&$U88hCZ+`bnFk8RncNd>Lv=h7HLN`;qj)HO8i_R5
zY9;h#z#W8j5Kl+W#uf7Z-}6fmtm47;prrZa&}~b8ZvvkTW~IUS%Eif-LEC}-1fPpx
zk4tNu_Vm70qde{+z9He<I^~8=<hNxwaJxNSCq`BC^MJ;F-=hIskqec$%S`eJ^oRmJ
zAAW{|n;dZ_^|j^6jDn^Cwfg2ATH!#DKj{3<m6PDtp|B~ED*P05jw6q#tnyAC>?hdx
zEAx=p)cF$#m50FpmiIt;fUhxGxy%l0LDR(!oE6xxH~g-3yqt#=W(8=_$14z@3cwU`
z-XrdPmzg`|?BiDmujh7JBp@xyK64`sk0e-{h<=5m($^`oUxA|$5yJS3kKRXc>ViBQ
z^j+~pa6rDkJb_`#fzEmnLK{l?*eI-liJt9|#-$#2v+G2}?Y)e?d>cOV^IQ!B{<uOC
z+C^i?+?~NR+<R;!z9qm4S%Ji3Pm-zE_NA_`?G^+<XkNk5Os)UF_)6YrWGGi!*vqq)
z<x0*8p|iJ3jPk4YFn6`q-B_bwxYmneQDylIeo?A0!Y2E4mlY{3;opsBGJUFB4X`~B
zV6<OP)iE0cTDzfmybK>{rpkkR%X-gRKF0pB2=WDR7jT1`Vz$4dIXsipnkI9x=H?@U
zGT48vmyr01Exbb{V4HEGvwV(qynwF{a9jMaJh1GBBi=+k5g*;jReoKY?&&;Ba!*<C
z@x<Jm_aL*n0d=wHdI^O<Q#3n6v;o>7WO27XHEtZ1gq4IvrL<h@avGm^yMR11!yG5(
z0WhEGUmKOk8+)Xq`hc%8rHUni`QpenwGHqsZVLqs4+2#cbT_?qyWYY&c8(Og<u*Qa
z){+cc#Hz=BB#)a%k!M~D-Vx}p^;@-UH7@m#n(FGvB6$)vNmftwxG&<mk*mH|A%o4a
z(vei~8_xSAEOA0(5X-wxd*K<;On5I~mZH|`*p;T}L$lqCl$&#vrYyO^+fl|#3R2>k
zs;`(3>#e%DP-6+~^f6ZSAl4#x;3t*3tH3`I-RB~XtJ_%V@+$c~`!wrw<G(NRNDNfw
zF$gK}l;mj{!4;Q&{PXn{bO#a)dRz%jMLo2>5!i4n`(M^P4!a=$_H4h$?Xn<};eB&A
z9f%91`yMPFOjRXpll<L=cLq+Cq0?~`8nr&_Clz+p!YZOV!_JwP9|S^~*DT)o#le|g
z6!?HW?%@W7mBRC9Vn@Wy|BOP|edWy$15f9i$?#<R)W`4<LLMdyLA-4SGhc(0kGfJ!
zV`F}?VclZgq;2B^?&fx(($Kl}d0Zn!yc=ogm_A{5N_*)G(IR`S&LAs6??>`B0b}pl
zn<CA!?F~6(uRUHV^FV(|`r_zjK;9$Npxdef`5Cik^VJtwV}}|BZ^}uCkE}Et`sZ;M
z^9X37n?_DT`g7Xqz6h=zrCeeSJ=XsAK2+Bc%J*-C1DG$4Yl^uMukCTI<H_jMn%OWE
z^t<*)_H+(nv}gIk;r$21d(q!c*znr~ICH@bZd;~yf`2{&m4c;wFrM%L1Inq)_OM&d
zj4QIC?^)&KLw-0-kQTzV)rwumt!)1`swyV2eJY~fKJ4|bLaUCsta(qmC0z!}5*+hG
z!F@r%ToPL>kLK3u1@ugjHk@&P4~&-0XrN6WLwp0rOsbYyM*43%;7(n}h@zlNrJCT1
zz}Ql(-f)&Irsr()WJMdQ@}()OI-|Ij-W98f&%^y|O&56M#10!>NcYW5XeU)?d9u$#
z$(!<emODbhLyqj#gpZT42lH1wwMwE3*W-ZyqG4b^Uojlb=XNda)pMHSU{sGIm3T<F
z=VR}*d=Dv)ToU_Q_trK?{(-)d$4Cd359}8VAaihpF`HjHOn#0pfzRXZh{H_bjM@V;
z#oq&ws#QhZzk072uXs9kaMrkBj#XA+QB2kyEN?74AWi!rNbvc=j}!$4;Jj>(DNH*|
z9<*~CF%~iUlF9s3to8jtYFVU#Za#z&0g1YJ6$4|VK<UV57>IS{OH$Xg#A^K3%p$&j
zI(o=`Tp+?d5uGksLTLJa{O|EEjo|&zVttQZ@owD1+INK3)@nFzXBr^x){Hr@*Wnn0
za|V}YRa2EL|9}27s9bV3qP8al9*hM@RJut!iKsF;`dF!Na@>K=6<syb{t|vO(?+)T
z6lP?6k8G`Cu-thaiwR+l9nA8HqCkRe7FoDq6lMYO1?aE6rOvdq7O?A#K<F?(F>^Fs
zzZB}mm_g8<$n%C9Ihk@rI>ttt`MYC>+nyWD3|a%|oq`#M%0*G0fm|{?vSB`Mn;hDZ
z&)fN(vB$Yo%Mo(cxxv*66SK`=N*EPFZCZ$HLeqlbpFkH%w8OW_I-{TZV!d=PM*1L!
zg_C9(!BO+XoTQYl$CtaFdaW&%>>j4({|l1|{+QQ{R&nOTp7VRiCV2PFlAhQe07ZvQ
zX%=tSORD+4?>?H}iF@=r*%&Q2$GSrSTZqVEgO9&+7}*SW{@sFglok*&h#2=%u7Xq%
z+i_!8f~XK8n!m<y1j|6)ycu1HMJme+=AC*;f5$L+DYKCsh_9kn4&l)NvnyK~$&{e^
z(KCpin1ztLODykYL46A$N>2!Ir&ecplz^A(H%Qs|f+uD~sr&4CKyADN*+O4ODBffD
z2orFo{pe{6I{Vo_1^e%@Y0zUbHt0bZ*Xt)5%ugwT*ebIK&e*BvK(SBS)(8o12zOq3
z;re-hGtR<o=nC@8A7ByTXf%AZvq;`_12*0--iH>WXPDX)DLy*@VL8h0aDxobqT=&#
zbHm4kVS4!9g5>x|`-s@xkP<DMxxJ0}RUNCcf<qy9=zRKNfAyzT9b40dy!uGv%5=%N
z!sE9O7cn3fiZ_`6AF_@)56x#XC&}cZwXGIsKcKj$z@Lhu5kQ7}4J{b{?*(3AM{qO>
zaHjir16}pyOda!M@uAPN?#PH<_<eGv>X6^m{;>Fz6sC(Mq0+<VUG&E`N^Y*Xy0#kK
zSQj<%iRGbU<P&G)7N0IG4}0fvOViLjr1o^~nan7G(GByTkMNKWs1SO$<G#aJV2Z7x
zbV=)#;G|WZ#=S0N4j(Ll>Q~OH4(||MeM`VrDL{HM>u#lLVS&da**hSWQp7uu{=J7O
z?DqBQdqx5>uUiqaJC6B36TrG*NL(lP=w6;MdvZCVcfRka{=(<K4@2)8RgXNC33LH@
zHS0uB)4R$0h<h-_d^~?#<2<9A=P+RpsZp>T?iGC_TcV{9NP_aY+~+3rx0J*ufF6dQ
zeKoF1m;o6RF1T<NUi&sS(lGMa&$<hbg<57ARLmGc2e4bBvw7z<)1N3EVIxSiSilZ0
zsd3m-j?>wKs2UuDKZ}--t1?sw1K*1A!tooqL8ffUkb7|p@#kajx(;8pOv+3ia%Tp+
znW{$MR#g~R-#}6>V}7WF@D2w76a@<sUse+fU4+c%h_0Td+c9sQzJh_LGGW|m{LkQ-
zghRL^DqASnyKoCI@dC^Hw*SxTLW-Hg(F0=R+d40uaL%cqA2ct-_N^+)^FUS!Z=T|O
zY+Thtxa6}z%Ty+Q6_=wo_v`iVT~Z+mC|BFgeVk-T`;~Uc0KOziEh4NeVd#Tz5)lA=
zi~++0O|w&~Tfe-94_h6d_QE`AUgq+r#_9w~V@qJYR&*L8k`r!gxv{N+*`g|ok5j}<
z7p8D*T4RkDkH-&tWd@miheAK7_nmgy77Mx)#h#S#IR{~aAg*RLbqGtZd9`m;iXmeu
z@^rrTBmo;Z#jb^99I>CsR6V-s8?uPHng8Dlk_6R1d6*fr!CxN{voo0LbgA!R73Ck<
zM_wJ`i1bJDAl?yuEjZ2)?VLa5de9VxWDPRM^&tx%PM)JiD>m|7P*ZHOe3vSG_NROQ
z0M_d`n23j_^Z*5K*X1sxHdnya6~Re3K(8+gag8go6>{oYg<>}t(+rm;c>Fw{<`HA~
zJ^$xb<<q<VjK9jsA9hJRmujf>3o#7Tvl4W7i|>&28MVxF4xoxVvI!6mIQ+!&`HStc
zr0YOfOC}m7@Y+29WYH7IBu#6&kP##5P84%;muDhKXLMSyi7Fw^Cr<3xIOCRoAK>>8
z|Io`xYcJlhm*tpK7cY3~qE&8Nd)~JBJcp&|zXn50ZZjDfN?@;}Fl|ew7O5Y01UDo9
z@_rd^g>8g|{&x5~Y*BOgn%hIdLmb*~Mb>g3DbHHn&6v$T1?rHeUXRe4k6(oM-bdsj
z-33<H>gT+9e}(FHP7oIWyP#@@Se|@wkZYxi*!-+4WyPoP84E<O*Ww>;EVQuy_FTwh
z_%!EZ)>f;AJQPK)GPhaSMo}rrD8Io~Z|unj@8ryT=jG6;Xq7gf!Vp2y%zL=yRSy~0
z&O@3V@4S;%NK0riR<XpYXm%T?Hh;O*o5-Y>s}O=`6JWRs-7GQyj;$%DnFq7L5<K8N
z(h?kcd<S#5SOXc4?Rh_1#GZpDa8%R9ttCdEt*+&{bNFc@{}$hXk~j*4Br~C%P~L$N
zI6xO`UqEU4uxmSpU#T(DUXxzgBjv$Irmryc;y-rrzzBmqiWc>j$4MhiC#wk3)a3>a
z3GxC(;PmV}&8+g+$Ss}%c6KzuVLX1>N6y?}tJ5^<QfF4poe*xE<j%QqdFS?T9L|Fj
zW$;0Td?N|YVy$}REqqvo%9y8KIy=|_zsfeOE{1+~F=k0hAHO6lO8efxbi4~wjZNq|
zi5%>H$`*NnLP8B>aw7J4$@i<EM`x=m&4EHL@ao&W;PR)Og+arSgj9mrOk^3yU5DHr
z3da{V@+a2~Ez^RBzgt&z=7bCenW!k%RI3;KejdLFDB`_#?9f1Bo1{NMXrdz|siYFJ
zvnjc;PhTTLDEpPR7-EA_#^6OuSuP8s|H`C6n9%RXYfcR}l{of(DKvBM-Z(7-GHM=*
zgfw$#)mVb#;1=l5{e><hiVxHJl*_v-I`z95op2vGKr+u9wL)<y#lwChc9>#eemE_z
zc&x8r(%my~#%k~ZB{>&j%x+i3MP)z-#{*rWL2EXg34IIWhyR>bE!ca0IANX1!9>d9
z-S-}@uJoCdBBg5s-O?YFZ2=^Crb{!>#iEKk{Gg%gjPHN*chcG-1>O6Jb_$Hy1m@j1
z3ezPoP{kgiyo-n2<I1|!t$gegeeXGb<I?>2yAM%P4OIT-v_V4V@_5xbnXyyLQQh#(
zG)VEEtkH8y|Az(M48hwz$KFQ&!G*p4G$r1dXp?aP!7m8FIg3hnS|)8+_{hvM6So<K
zblWDLY+ZSd{8BtCLcP>B?N-u?jw}zklZnlmzKZ{vBb48R*#?_3tQ4$3T5Sv0L^Okh
z12Pt3nZOmL;1~J7WB2d!OyLv8O!muAAF3KGa%cNnQBCWP@&u)&J!!Uor27tD@yA(7
zf>M#4DHa7R2lok0_oH88e#_A&cAxz+;mCVNfolC4bM{rmkTEUCrB3DXh@ktSXw?Vs
zFH$6=YL)cu%jy=s(@;!AsBf~`rmh?b!1Frp%Z9OWTg(giAt!dQeIYRbA#FK!`h#P1
z(yjjN-T%Py4cze|^;{QQyfR#Dd%!jo2#g}2dYU9+pt(sK#53iX+WmEY+=q2fz9#Rx
z?8lURtAWK3_VWp6#Qptcrh*fH0$rLQ2Boo1P7Wzb+E(xy+0?mXb;%|zF`ewsOwwzV
z<FAO=@v6JnnUVf8S&aKRF!v+1Kr?pA#rU{OnroC{%-#NcrOw^;x0-k+Sw^g2z#)3(
zh0y4RBi_Xi32Alc!S#d-b=$jFWb1IN)K{nXzSg_pb(TkYcRAj}5pu`j8P+V?(0Oe<
zuO{UF`90VzMb`ivAHS$vcI+16tQi4(I&aI`w4;i`@`ZZHO#NO;bZ`o$HU@9<1fDBC
z_%8r3GKyItvW;<y=|UMW(Yi<2|Ji%KK)d&{=gJ;Y!}_cZhn_U^UEo5fld7Tq2R6G7
z`IRdjggfGfmX;-9>IZXnqVU((9hNw;-qr^u9?D0^QxS%gx-dS?AkR;w6ch@%<Vy>F
z&=6iECJJa`T6o+Sxi1}_KPI74jhz41d65+#fQ+{FVz+f?)kOfPA);gDds}VyC+QTK
zVu9OhRN`zX`o)VEe*}%IUh*`0MZ}y7mG9NjW54M-?3GY+anD}Wp*OG+9%M2^9D=`@
zE_}s&_f9WRQ*L7#5QaVTV~TxE6IvtX*_W}w4be^QccV-36@(tT;tK{+hTH2`&(#(D
z2P=hd0JxBW$1M}IF&Te>Uq6)9#HXCz`q)UM+o~8C0!q%-GkRbRct<wyP7+EA%U7TF
z+hBr+mRDJib|DU`9yl2W6<5U_bhG&3cHpUv^cx#?6KqmKtx2Uqjlz8pU5NXOn%OAm
z!IAuasi(nD`_3m=q^X%S)U+P8eWB-FZ+|lajCPcWqY=QL^NCbyE3H;t?X(OJV=PK~
zF-Qcu7X9-qXIPgfJsr0`RN%?Sr9bukQ4Ls^F9Kda;K`4d$HHRA(pFP`qST@=dDyEF
zd4XxjG|Sl72bucoT1=>wY-<UQin{}slYIVCEU|O*(Ik>ck=O9b@gSLl5O7t<2OFT6
zY6SvXRM`rU<}oHBUSLhD_#gjBARovq^Q@AhI;Zg<^6+DuonrOJKj-jJ&b%ykIpO-k
z;Ys5E5nHlju2^-xh$0DYM>8gSAWs$B0)Z9=zic<=QXuU9(q{B1^RZ%iL4l1NB94aX
zW((~bRydRB^Cwu6^<0??pj4zj@jR8zdH(5<Y8j321}vU({~?9x0xl`VY!;492)(+V
zsxQn%wCcGXcM_(zR*i*^^@TA&+p<dUY*m2MV^QckB1w^%ECNOq*{%r}@?mwSgN7e<
zuPY1oUSr_z*W0%OM)mZzln9Vv$s=ipPw0P0MTkA74ESL!0N@+C^I*2w4ALuBDTc<6
zkFFoTAzv00toKi~+3sX)tk$?f>F7*=^4_~pnu+in-Xw_o-mG6<#>vml;DlapOWris
z{;q^F#afwM2C6<tVG77&i_Js9^|<&KAF4J}9env+#nHN|?g=Sb)ydNzWU>!4xi_rd
zI)Zij@jRiA6d)JGcjx;mw<}muFZIL&gH_XF`W+USRAu0Ei4B)UVE4=2I->n=gb)Xa
zzAy?Hx`1~;zv{*KXEV4oR;(JddO1n9-r=Epe8+Zd*=>j>X?M1VUN=Zl(Lm@T*11dT
zYRLsV{X5M@M2l8%<=-Srz|>fzEHTS0QS7}k9ROl@i^fTpyi2EpVHkw!=une|<0yp5
z%%|1FUk@MGku#H2GmtZHDR>k8#PHr!6o&WaGe5J92q)UZunRLVf8*bH;fz`mM85e`
z8k&3CRCBC?5dnF<g9p|Dh+t_L#NyYC8tD`?^~{2D{8b+&BP0wgZ-f5m!YW2|0R6bx
zB-X)2ve)m!S1vIHR27}=v=Y+hsvEi@U;ZbAO;7bH<3wHOYPo&fRlR5>o_2j}$@)j3
zig2A1=$NLE`(e+e=;wurv!92(AaO=|q2{O~GP|>7x92+rtBI4ip%^_TL2a!L3o?+F
zp!y>e<`5>Sdicqu1T00llZwOxM$gOC+WOvgM4=!$i!}ei#49$l7m>{vH9W;orZdFY
z7Up^9D_1^$>Ph=Yr9U$^sprzH=l4|uCFhr2ybsI0IzI(%7w#6>gf_aHsUzI=R9yo-
zu22}#FV&od*~st7g>2A4ruR^Tqf~-R_L>S0==FtALPiU=89)lISYQcf5I)#i`SWyF
z03jA55*2S{pV2zOxKzO#S7V<~u{YqccCoVg_V;`49w(=bd)hg7WN<dIWKs#LQv1Ik
zlC<`|ElCvxcUKo{{Bsx~ecyOjeUV*a_Z*RNjPypJ-M^9HNcv>V?)3yC&(3=M<wfeb
zeS@`U1R<a=^-DpKh^=N(ndA?QR+H6;A6Coj{yU2E;D~B+MvE&{j`aCDyj_QJcz0)J
zURq&4)hzHq?y63Ps02@(0{`$?-(d+QJ<r4AfLGi58PRgh_YUVUjHRdh(xW_GvI~p&
zT?=jt?i}u<E-nDZ6^Dm-IeyQW51U8aIywcjwE*_8^v>S)ZRbyaYw|#PT<b>R`$QU7
z+3}3H>d-8muahr(T>@Q8Y;W4#j$5bj$H$8nS$qGW-4G^-k73ty)$Q1R?9vns^g#&a
zLYq&rqKIyWi!-URQ35}8gEtB_c$$q6Z%nr`!>A>Ty`UF!8$u7yb5E|7HgK)R<c1v3
zm|Xx{kq^*z4xx*3$HeH}bs*1keJ9P=CPakSE<hE#T7h~W?Go_Y$h3x5(z1Jxn^6a&
zJ4B5933Nh7s<nBGs^h!uaEm6xEr>RG*fUv&EMGbO6FTW|%yD$Z9$x`DcKo(M{+UUH
z49>mXSP2K9hf$iN)(H*5F+IS7`<ZMmTgW(&&Jk1U@&xoSY~<ai-{328kJ<cVr$Gdi
zV(+c$d@8oh{VFPQRn9s5sJ1xrMNP{OUS7{LXAJ{?{NZ<+C2S!ir;n+GuSpVVeiSML
zl_(9V%*T7U#j^dJ)O`~(Xv}1Ota0iuhE2NM;a8BFwZO+h_^vGSv*{<m_e8{n|FvXo
zA#Yclv_jQ)A$yE&f0xk7oAvzZ{ppoD>*J8JNPLA0v}M30UjOZqjHpjd7Ta^S(C&bh
z^k{>NOs$I-?Bg7NLg?+;G!~=lWiX+|BD|&W$b7r<-SuB`kJ)plfMrRg5)4R{=u?OA
zPMmEvjfa=waj$)Q1E>{k2vKT7+-OxaB}^3<)!C$eD!d3#rAm15Y%puVOIh3_PcZ&V
z{xueid#cM^7(1E)4<p;rfBK>HBI>-YL6K<DQt@8MzZ{=WXS<j#RB&JR<Mc3$PGs$V
zPq1b6D_^Wda4%!lK2ANci)ab|GlTJ$Ki}oKHJ+|Bz4`_$YT+IgX{iMfdtiG&s>moz
zw!=c;DC`EDGw4M&wK|`82+iEO!A&Uve<Oq;-WQAxaLOYr5fj)rS8^5juorO-bg5GW
zMNB;Vbj>(5U$DsvGf1uPQ(jLzESha+_2)Eu)+}OIk+5ThE%&4)uc!_8G@%UfvPV0{
z2wuqhfDlMy=<fZ{M3N|d8`KV#q10beyBe+Um1)k-Rr{00XyPL6nDumE-9JO_zLn~5
z`;+qkHn4Q}T(!fBt^D|_;9(89eIwbQ3JKpJuHG#=DJBBw>U-yV{_2biFQQ)2-y0)M
zT1}j%ovQy5rQfzn`m(Nt@6N=RRUIQ?C(Y0)c_M89vZY9N^9aT*%J=v#88c1?$03c_
z2~HKskXQzqTL$?LRT>aQSYDpE&TLL`(kAb&p>HH4Y?JV7*|2AATnz72)AY_PUb0s9
z9`JxeUA*k=eb$e@|7M#N4+!cb_q$!BsJ`}rVTL)IKM<UVRK)X*GZA$L(M$fu+rlhw
zpbv-V+io&>-lvnj^A3bW#f~0gM&VSMkGOOi*50u;`MUz&68|?@0=_S{gX)@7<Ca+C
zG3v1hW^_ZHkryUSSP_aP93WHa3F^S1TRP=3_u?5!q(*bQ7k1yJrkTUQ;+E|Z8ClOg
zdJyqPl~J<AKv#l_O5TA{%9D0fVqYLoy+&egCiL^Hn(?6REC*&qp>4-Rbn%id*2?V`
z{h}cub^cQrOX4^D3$0V=tTk5~#06qZoFjagtCcqMBlS!N5d@v0x?J#kP^A1Qt#jsq
z=u@veWg&l`H+_e_-l@|?wP%J}We^M?X|I|r;Hp#h_hvPa4QAP4$)VEkc#H$O<XMD6
zSS71ZbGhTM`9Cax({V7<0ldkie_Ho}{NLI=cJYdYOxfg|zQO+HHIo?!w7OLpR0(y8
zqzQh+x$`|>mj>tAdRgpB5|h3=)9dZcyM~(zUe`%DeJ{v`+{q5FT?O|UDenOC`?_%N
z!tWZ%ST{5WiEOLGR`@N6fd2p;<vHm-RFvU6)mt{Mr=VawDW)m>pR_1Y1t@pBL@^IX
z*z5X|{G4VV^bL@}2N9De@{`Wt1>^g-E6umb)n0{?^`1Of!sfxU@^*a&#lElja+fx6
z{)NT$Z+L48TZkU09UK}vR5kUPfdFz=-Je`?AJL8_^82JGGoi%;2x6zuk6KV02zxE_
zeh2^1oBRrQt#YW2ys-p)Wg8{}YUpS&JDfS^-<Pg(&cBRrQc-y!;lVMAlVcU>zD`<k
zZy4)HekEcA=Y%{MOiQh`kSc@QNW@S&ub%XjMbW>r=f13x2MKOp_%!wqNc1cy!rRrp
zv5<9dV4rhS*_HGqz@0B<lSP&IP2|ld3C7sGWw>Gj)wZ#sb8_u8KM!e%&cFvsV~7ih
z&0PY1_Gj3kH2zOhgDQlM9z{Gp9zE=pvbs#Q3GiMu{v<PY$3i}(5YBYUDLU9;1&*az
zJy)z`{g)(dEme@*NBxlh==-wFntN)#s``1aZ8>CwF&S_W%gpcWb-toU&$6FOijH%;
zjck&H`}DrINOa6Cz350z&niF<`%>-$2!7ZLw%JDFjHiXc;3_$k@diqYtx=|O2oy>d
zOi^9K$CZL2yaG{lDZVqR2knzUyXpSOA^_^mkz%FK2<aa&N>|TPkB0F>A0t~Nx<T@a
zPK_cXfD3Ph(NLE>_7#KFSFIpFPLR}3Zw(Gpl&|{mh1G*~@+p2^KWLNbN-|p8uDjSc
z@|QE>JHj3QE`=_n`%>e_`}^DM-LKZ^v7C2XCuY>o=DbJZ3bw~PWx7X*tCBnVZghfQ
z)2)m*H_|jR(JGScvTe`kj{g`9#m&$jJy4eb0DZx1+~E1A-zvULk-3mX-D5y<RDD#v
z(pt$=Q&{Rh3_G+Bq;rdr4{UKJr&iQD3bW|<G94COYWxv{e`CDb|%n^H%=BqrRB
z`NfNTehz3`Uf2VkKhZd$`rV+smXNFz-V-ltn;3|_h4mu($4P(PYeFbmtpOyOqXc#V
zkf-HTf8<vNpEJ8e)$W$s9ML^nRz*(WdWHUE=9K^1Lg+|=5w+Ez8(r6;u`XkW+!MI6
zE;}KV^YE3~?bKV;EzhkY6+VX|0ojk7w=fM5kIIf3MyDTJwvjcw_;i%?FEVZ3{jqr2
zJNAO=$=L_DuxSa6Dmu7P&fS~ez+Tq0F;4Fv2AMnVqv&2tx4AwW=53QP+bT6{hBF&D
zJ$X&$JQL_u{)oF?_~&_71KQL1f_Y=29i_=Mf+fi=Orz6J_Y15xczK_4S1!o~r#OWk
z>Xw(NHr$YQT@!L2+GrKd_2S2Rr&cR3>wZ}Cf(0S~(cJI1KaCJV_`&gk)ci%2YiT;q
z4JUPG=Fk{5yT$0C`k~u4R&Sp*EI_F(Mi0wPO>GYVwPpJ0TIEgan^%%IaM+;dWA5}g
z_d`l7;A~By+3WSHZ80&s4NW&8$V&r!=I|*-*OND99=9@-OQEduvmwTIpTEz>>}M(R
z--k-AzA<dGFK-nK9HIxjOYW`>nbbP`Xh!cf$NT3&?yX6!B#VL8X7+$LR-=zPe)bd3
zaJ<E-h=!2~1`_xNGAuNbT(AezugU9wb9L@O*Anb?RKKK{qnm)|U^{@OXeg}hu}ZQ<
zD#9na5VEu~5Me>GX$Pc;{?n+yet|f#LT!hzM7K>5a2m}h5*Ikv<(cV&hRfZjOmr`T
zhEPC)E9Y*`SdATxs2;ma2;{hV{ygfQcL{sZz~cR<$r-^YTHwT{@fNqA&YEXzw*M{@
z1*%JAut(6na~Ct10>4v}v<aZn7{|1(*D$jMuHT5R8m?vih6ao<li8nKkiw7jsESt2
zit1et!)OuIfUv3f{`Hf;5~ck^9)}2-#lSlGQs;6O=fugdyAzl7pL7cDmz|V#n4VTo
zDb9ouIS)CFh%W~_OPs8j=H6eepPTwoj<$6^%E9SVzzL0rX;)M#T+b8HM-j)o)lwMY
zgg52kw<+(T;!L}R*I1CHEk|V7C0GLRkrbMg*_2425*vChffG&BxF@I9NEW~*MMW`l
zhFb#Cqn1L|#+)-B<~BE+?6Dr=?cd1N7BpJEN#+#i%>Cd@jUKFUA@#TeJ&ay$Zaz`3
zXy^EWxOSV~;%h*LCYiPW?7BpKJ6WfPhog6<YaxW;$Oi~WIPyb!dOH5;lr7|FuNlSa
zoB%X2Y3029r41p|`Oqxg=_&_0QrNIEJIak1%Yiwlib9@=;EB_mlV3UWDHIQ=H=1Gk
z36j!=un_k93JrP-21<AtXby+kyxQLb)JwU??A2@;ws%YyANC(GvwT#A?(AHrgsM=j
zV%!GDjKtr`x+|+lZqDeno+-D+w@KcIE&v#b<$zJ!jR`|;C{xe5$g5i#aA7!V!Kj(m
z@L76x@C4yeHwOV8y75h>zi-fyOpMyXdhDS=hXT(`8*4_2nY(u$=RDzUWj(0$^q0Z$
zYJH2g19^MjM>t!@{bm(W)iTE+x9PxMcEi-OsG)$Wjr#=YaLgpjatnR(x7!5N4J4@i
z$#Ip*K{1(Akzq)x39+88gdQzQ8E4l|_K&a#5b+GbSseKZN7B(TT`2@>MdXrk`|&RR
zj%-C$8D{)7H?lEWp)%xkr?NlF+aFG%ysXLExuS~dP#%2{_3(R#5gKm%9=ga1AAvt8
zOD&IEL%1zd3h&-Qzjr@M&kFdP(INxdZXwc9AXD*v?`-@>T-%Uac1opd`|isoggZy^
zTzJrV7w;m~C;Fu<o3pgKdi}CGJ}lcI#d+@$`7<23<55*CAmhIC1g56st_yXW{2+mX
zGg)yCK@B8hiv&y%)vF7h<_NyVuaQqvJS*Gju%6-ipznz0sa!P!oq>7jBbGrTc7LWD
zeh^<@c)I3$)~MCsV>BMK{5U-H*O(nrAj<pxdyFPxe-7iAex=srvH^H&L%5%H_2Sx5
zrXeQAViI*R65_+c89B(+kJR(GJ!qZY=~C%H>QAU{zmeDz%SVxy`Y8=>g=-Y{aMAQ>
zB=uTsUWFUP>azeEIuw2K2pN225wbmai~0)TYk!n3Nh=(R7dv#x*64=wbtI+VuU2Hb
ztR*am#6c{>8}`$*YLKIz`hDI{WzT;E0~OQv0e5M|Ezj<Ed`V0$J(MN!UrxLmjXRNx
z$1VHLqZY?{uH^2-jFDjdFL4@?uZ}H!Vy>C2ArJ=fdZ4N3%+D~*X#Udn+R2tMji8pg
z$4l<*dx{_)=zwJsL1RJkADW7*NxWggkd1i4J_aNn%pJz$#aXTl?Iu15H`C+OUo$k9
zbJM`xzY>|e4seJFX$?O0++M5=INe)A%`W+L)z{w<Xk3gM5<V9`e7^v?!lU?en*{E}
zTBVz_0+cPQLQ?q%=a+)3O`fiWl1P8d3%&eQUtiya4K(l8Z;SnU_uVd(F1Zg|0dvA-
z-Sd8n@-a4U{P0Kf*ezmr%H$<U6DK*f^(j1qZ;FaX2otV^qHV>i6;;<B_G3j-&C%)N
zH1q6>4F$2#>VChO=Ru!qwlosWgkr5dBKS;v4(!xpZL=HW?_fLlIVnIG%c+(uLTo)b
zv4@={`_oN~CXLtWTx$D1sMvk~;(oL>1D#B)XAx?UK<gJx)~Ro$?>MIH+I}t5pI5mi
zLG^4e`N$iwHtsrMdiPL^kpbxx`H{wH@}JJ@XLsdB1oS0mlB?uqMi4hQXYTHjZrM&R
z0AgA>G@n+Twh4FTuF5r63IkJ4zl<sE)J}DkoE#WAyHo8U>u|?IidC9+f;4$)K%ADp
zY~zh*R-!LyvZMJt5pfPJe|aO%)5cw0Bi8h%W)})DoN2IALrT@?)~Tk6mf5EUF@f?0
zmD;Gg6~Pfvv9uG$nXQN6QG?~^AV^*&P)Nf59V?*d-R7<527nrm@kcfHsJVEnuw6M7
znjTV3zEV-tCGp!ed!Y6+T52#$h2n@iH?gL{bD!Vd_2^Gc;5~ZS_d0~9!SPQgw0?I3
zwjGY~Zu}~#4rYw)4w@o`O+3Ug`Hh>S16v3?_a0?c>Y=WR#=>{ZBV^A#ukFYKNMrAP
zU<IXP0}%nMxfSLAs4%qM=S*%JsXfF9*N=G%UNdg9yUgT|YTKlVA4T6iRTRs;j&^KG
zv=hV5b=2uiUhYBRi+Y;vE|s4=TAwAIT+n~To}xfyS`$oLO}i<C4^`RAia8k|j)`F<
zlE^EnvL|`Twlqg3s1ZDOh7IJZA0xiU&;^ys$rpzbzp@Xh&J?^y@Y`(m&%b!1K$Gf&
z873SDTp$<_Jz8(Bs$-nBSq^P)#Sylx8+|b!=EBh;<hLKpD1Nq%;hQCX!EX&xb)ooL
zSGT()!Pb7z%hVivesz!xxa48t_c!9EH)EbRyF4K5Q=Gly>^WecfFmBHUhntDsl%=m
zlClq(7;kbS6%4e*J!O0J%Dolbd*|VOxA!`N?~j|4q2_36Q8cJmeL9+Ln4!x3!An;5
z-)K%Y8E$u$J6m~7<y16k53V6G6C;&oJ6BG#Q56<DS8b=YDgD1K6pNA@cqZ%c>Wk1l
z6$Tq7#x?HMSL=W&uYq-_MSn>A+S%`YtJ{--u~*=L_~3KvS-Dbrwc+?1y#bWtl$&4;
zOKU|BDURAO@wQq+*HK7=E9ZKot2!Fhyh}0-U|Y|7c%{*mZa00iu5vqGF6+#heQ>IG
z=SnM<BTwAgtl-sjLc-aF8%rqdxW>S<<`bwF)u5l`)NA1A5B{`rNiGR23gj3CZo3ro
zNVjSi0XhD>{y`}BaBTPc(dIV7<fT4;@X?7qQqWYf<zrRZN08&i_09;w#F%yAH67pf
zcZ5kJOZ=F?J&y^vOBR+*R+!FXR=*RWX}H+pT7A60msn-9IudH5C-CxN;okDr7yDm2
zzTkZ3_yh-x?@uw>eRicUu;RSE?Zht69<k!AElrHiKeN&OnmjWbX>d{ig!l{o(rui7
zy{LG>dTfo6kp7?*x<Nb(4VbMDD_5bc=tVe8Wgk!M5S%_Cn1TJI`o2=T=^lEtoWNi>
ze)8+zF?f=6!{T0p#pOvu8A>PR;{5a#VyYMue>Pyb3s<Ucfi1bSw<E+ukqHNu<!)d6
zz58W^<u)b^Dej`9D1C@2WJIz-)I_=2rbuJ=a|#TvR;iE-2(1}Q5fwdKrcUxo=CIt+
z_pjg1fcABvc{PzJCB<5J+k)cUrT!&%N_)il%3@4#!L3vp!k59uwdpB-+h2YR5Q?Qq
zFdTTc6C7}w>OJdWh)4)EkFcwA<&d1+)v^x4a(3kdPI<zvLl*P2*l^F@Sq47OtvhX8
z$bI+S*n2HAd4~#jBHMd-Wm`|yb$n)_K6S)U&z1h<8g*++r1bRddPCg>IyYcVL41A4
z<mnjO%|g&*f=SIvu|;p<mt3!9Ao0r{{`ov=Vdj*s-QV@&a#GegV1=If?ALbqR`blw
zZLh5HpjYo|JL7I`+s&Le+XVOP5uN+J`?HG`TZYhA6B7w%IVib??Jh{WVo9xdKhyZV
zBIg%2nKLuS4r8C<67EV5zzbLOEm#(_gB`cVE?c8(MB)lvNRN9Q+Q@000n#@2#JUXj
zDr09Ia#&f^BW}?NFgHO0A<p)|-L~ZF2}<0h0GKPR?Ct3sd35!&wCRDiH%)c1duIuc
z4X$cLChxL;e_ox{S1N~K_1!La_xk%8e~Rz1Rr*@kr0&JI;>k_sU$1F|l9brD+s{u!
z(B&UV=utYEVyoGEUtEEUCoENNKI?J2rXb>8QSigJ_nU5zy<qQ76bF3Cg30b#mNOm1
z{-vxIVp|1<ZA0P3UhHbAtJeKf^qX9^yfLq-yz=BqPU|Wu(o;>a4F@AsNc6ZSu_;~6
zihx2NPKqS+Knu~!FHhX@rI=zrC)=0@VF7zO>+zzaBQE)sX8=Aj2oY@OpavX^#FHG(
zVH9N`J6Ad{!FWKZ(OpeLBNwX|M^ba3(E2q8OUyJ-y2&ZODpYeOUY+2Bj;!-dNagtH
zbLVq8XkV@}4De5`sOAaT2a@|pU-Kl}{CNLtqSAe_L}W7Q*UbB+ckRIuYS3P7o?XPS
z?4(y0sfZ^EXmzfazTAjSU^0>_bQ$|3RafV!kz9dwCc_-G<2&awX;x-F-SQ(|L?Wc6
zRvflAbbv{z0BR*D$2vWzy!_@ath97<ezviMTi15^rsZ^oJ6+gfuqe5rxcCmws3MuZ
z3Bxi1)F*1&TmL9$CM*WGk?nAr?P3WM#G~cHZE6H`6J$|k@ohUvOK)E}uT1`EA6_#a
zMy%!J1<lW0yJTHlCoGtSvK^sB0(16_>)D#t={_^Linr%QZBc*wXmh<YyPdYE_u$ym
z+idoD&u8;eFzDCFV^mIOB{ANJ$dw>*>#bLw9{H5;q{yjYe5>$$tKT82bQG<5NkKC~
zUCazbqP}zjh8Bv%hquDSZ~d;X2HXtu%d1+Z0*Ws)0878K(UYUfkMy8w`bewY!rkbz
zv|HxRo9}Jw6Y1<R6F=ld{My$;;&Z7gj4E6Ti|w1A*VP?7j~e;g(Y+$HrN5GMeDK_o
zZHtVA)?s)zbh~)5an{(|8g^0EQO42xPy(o8ia_Z3cPlJg>k@AFwM-4(AGduKuXDJH
z5ajB-)<Mc4Es?4#@lS;)X>Kf#zY!b#P07tCqzD%^N%5G;3n8s;FW`cV@=f#Dt`)Yr
z`oe0A>q%%#R&Nx-RIO5)m10R5Oi$z~@3q(fomr+w%1kZ{zR@IMO>mS*nG6Cm0RB=x
zascUlMz_x*qhZF<p<pRVuZ5?G#T2bmpO^(R`1$5-{1-!R^p?;&FXBCRPDWWQBOI$_
z<`KGC0Bru?Kn>h#k0Y-~GMe=bqz$|+)a{OJn%rqx-<WDf)%WIN_~=Q<EJOU;+(XxL
z``sDe-@pDCK3%<Qtx`uia?v9KSSGjMhJKL@d|AvQ|E<&g#nwF^ADV^j$_9T7GqX>Y
zbqi8_UETkOY4P3eq~)yBLTK~&QHV1<3G>6w?c3(~`Q-^qNpa6QaI^l@S;(O`!BxC*
z^Jaqa_X6vamIICWi!CFzS~^Rq`{E&&Qwx`t)(O^=7TZ%klQP3H&UCpzXkf%yKPQ|2
zh+J(4F>v0{fEKiBOJ5zF6!Ud?E5DEMRJJd+uWYTa4%)r{ZF2I725WByk#i4fivD-W
zAJnLU6P8jE9h+SmcBD!KpY=;O<BwxlYDyzugPI6R3w&}SNbpMDJ3kAmUBeqJwaNNs
zK;fryCOg(5WItp-<RLk5jth@Q;d2wL1bUfIw27=cig^hwzWd~~2qD0UsQdM7W$wo=
z?l3PGLAX|cZy2T!_(bgch+DID$`trBk$qJkAs(DN5Pd8gST=aHd8x2HUA+@jZfv5L
zwBCj~e39-XaLL-Qk;cSn(|ET=C<E&HX6uWPmz?5E%M;n3Ih`Xw^C(QMkr65v{GXX1
zkEN^%7jEpbdNaRfnh@pV-gZF~tVkf-?1J**;rr{M9SEzdpSeyZB8NX>P@s-uXRUr>
zby9>syB@MkVLP;hz<G@w(J^T1b%Q(9j`hT%={(@Fa`#QVFOnU(9@BRwq`u_?O<mJT
zwLQZY04S6LeJrmfDbO1jMzIKr8SL?OyRE160ofsU8M?Esyz#co3FV$38<S%$BwsTT
zBsAZ69xo`il1Cg2fe!;|rDz)20@|}pJ}d|XpwR}w`JnEem2%5tTQxCq%=lchUuz~R
zCVF(ZUu#ffMW;IL5P*pktwRIdw@%+euoHm0>P3@@cWuk-=xs0Woj47=;j>aNSvrP0
z`$ix&svKs%Horr(sF)PMd#@3};2k(@D+MA<-hRZ>fySSz>~Hf!U7uA-e}8L)WoQ-T
zYU{H3tIqxLoT2kazeSzOTrvBBP%qvSRR5FogAw_Lr91hXJGCgZAeRNf<=GiLE(k!3
zDI9cPZjZ=pR|yb(orP4ekg{k-_%Vy(W#%dn?Mx|NZ_b0&)csk8{5qQHgx!QtCvSyf
zpMH5ZPc(%6skD@#7GnU|LR$~^Dg8op)0f36yFNO!{Mwxl1s~9VZLXt>7|!UvaF}bO
z11*;8*vSS8dTd|0&gulD7$x`n76A3U1`SV|YJ6-$)-(6k-Iy8{Uwc)m&0ig=%;Gl9
zhO*CAvj+(t`|*TjKyt93G^&-sA#dT#UtXebSbII1*L!SwjU9&PPG>RZ3KOX(dL|g>
z0^jh!TLCk2vq=1pk1`7}<LeY_#LSGRX2ZwH5K`yiK2e%3Oa~3mbC{XQ1>%gxBU4+t
z)LkIjpxel)>TD1*=?-du6+aaJO0vmDR_n<Tb_@)Chb!e24=EWlav5vCVFs>ly%46X
zTgaL1c>$xOv<Q(%^EgrEdT?V}6Kiusn8KAi!Y&~Y&Dqh`t|9nj!2VX8{x8~2;tXLa
z5Ml-#MD)o+-2OP3+8%)8f^?pGT5&Gf5N<u*f@&oC7R<V*s;I#Xy3-i_l6_$%B9;93
zHRwr$p0V@dTPLv~Sgg$N`L$-yd|rk56_MaKCMmp~$^4(u0qxe_IL&r<#zLtsBFeF9
z<)_X%%5crFcd#5vVs_V5_bZh&T5+^ZY3<l0NW*OrNjS9>Ls<aK9q%`GJ=FoVEGV<)
z4?%@0<$Jg2M}FV#2-Jg~u#t7}N-vI_E%Rf%M7URE6&Fl)!#LvjJGxpp<0%%1P^!-Z
zOBcnwU8FSGa2Fh-l!GOyLyK>(U7$0f-{iM4XjyCRIN!K_kYlQw^J#8AeEdC*xbEp^
zx6;G%w@d6&bj||69A<Wq+2wOnjfid((bf={3+;{OZ`eC7n27deGY!tz=wf6`TVnFX
zt=X`_vK2fzdCTnC9T~b_{*Rl?e#JKJJBiJ_r)o8S#8ggO718(VDJIj@{(TjAVuRs%
zZV;N8yV<AOuJqz7yEJ>{=Bf|Yp6^4wjXecl5wDhi=MN3uvCbw)5w}f3q5hr7$KurW
zfnZaQ#TT(XHX=<MC#p#@Tc6HVA@Xl*DMK$eKN{87)v;iWPE4F`jULw=f}Ivwhh8G(
zjE`^GPYBMxbjX6H*dF18>%xSlfQSo7f75rVu?4IhK?7uYd$?WLxs-GnTzwKQO*TYE
zeg&|sX=?N`3Un|-B*bdI!8ipkv8OaLarcCNq+et180K=!uIZdlM6ZUhet$vl!-dNe
z)?SIuo{34IPf~#%%G+_BQ%C`Z0hN^`RDpt0?Z>}*XSQA>vxgmx+zvj`^7)J`3qMMa
zCmL40IDQL<O37SZO*>b<;@FG-cfJQa(*f<{Az6^q1-qEbfr6as9uO3#Va)`)*QAA?
zYc{55EkYFd`1tUoO5zpO)tyk=Cg5M4w4wK$8PasUlx639`N|Yn4!Rg2!L&BBRRPC?
zZF~m1S3E-iZ_wT+J@`C}KWht{Y_&YZ*4mnA=%<!gl6C-1i%To7cV5_74ghnAxTfW5
zC;Beobj_XiHh@#CwV0W{(SgxU7wbs7Dz>69>kND9Hfky_|3a1CM~ZVcc>v+c+Cm-?
z$RpvNplnYvlZ|9fR*sH$NjhO4Xi9Nnerd=`)G1GqK^)hcy1O^vT|bYm3F-*go1^*7
z$Y^)ig#mYSd|ZAh_wS#OfZQ8BD}#ZNlV;VvNDtJ?>!bEp|L4w&P@~ybZMb$lZip7^
zWFYC7R}G#bfxaQbecmk|Y+S0|n-MTEQ;gW<$qPR8{QXhyRsdr#6G&2NDZ+5!Y(nZw
z1hds;+7$~I8BR04|1FU(D1)xU96Kv_xXwrWS$GcF>D~Ps0O#GDRm(M=yXux+O!Sm4
zB?DXi>U~h9^1klmk!dJS>?Vv``H#6%Fww#M3;ZK<w<p0?jb4IJn2ECqZjvk(WqR?O
znTJC3FPJ|h5)8bpBbO5hKYA*gXx<TUA1Z<F&odfwjUJY1lcjYF>c1V_H`c>l+Z%`{
z><B5HwFtO51t#MDi47WcKFQrYd@B4;pW{6HIn;k|{ogKtx`q)<sn_?Z_0~S~a=wC7
z&dGD7BJUuM`wxQEw_RX@X&n=&zLOdHbFNRVYZc9VroIDwAI+`HTj%JHkeCfQ{Bkv$
z<F|0ppt4S;@SP0C@L>T@0a8NPg6g=VM-7ysuX7t%<cJntilWwt&b)7luIjV^Ob`8*
z{EA?x6lU>@IY@q}xpjSVFC0E52`3KwwsV&xjlGU$3hPw$?=a)x%UYsgGyGPnY#yBl
zJ5tsvC+EgP%hQgEfx~CwyZllZe;5fdNrp)y;I`anB#!x?+)w-8>hYx*plSp)rdY4&
z7Vv_4lnC}n5n`|r*0Fht#$V$=4cnwSSukT$p7lv|5GEb&IF96oSdrr%!EMRgW6|;>
z&ddrnLDaQbR9-?)Zj0nx19RMp-k}<rM3lDPA*Nv(a0|lC#nVa=Vji5@j%Seu?qqC3
zW?H@5<(c`78|IIcl2`%G+WUmVl5<sC&tOJj0+n+9H%YR4Q>F{=R5453WJ-J;%N2du
z&C|P-HVv`P`#YymH>j6+Cf@ingi-qw2{EQk3qpWmrrO9dAadZV2p1{$H$fB~*T$DT
zjklB(b04ur&Wdudmxg6g=49D2W7iuDH~w_xt);=*$~wK9Kt@PL6uBJn!gNK>8F5h0
z*(-~MXvtjsT4zgTk_+oLp{WyOIVfwd6*-rKF#nVd^(n%sozw}qTRrXfu$U@KT;U0N
zbV)UbDkm!>W34M2E79ZcJuMB~g-zHOEV&V1R^O@m>b+t8e^-tHXZ%&#xnw*tTubaz
zP^TS`uMmZIW;Az+aqC_;?p222Ax7YtB(=O}Ld46VDW>fSuD((%4VX>sc{=KAy@E)s
z+Bd91!rRX5lOW%T^Y`e;gDErM#)E2wS){|3Yor7>I5!dd<>m5+e@%=A_0*WF&7KPG
zG&Be4rH0$%dK&+nJjR=)T#!Przy`GKOgN^}%s!;h&_~UWY&(!wo}VCy)YMpfbN9?J
z;#>Xw6R6BPkRmhI=Bo3r8$3~2EO(Hi&-FL*in)5=S{v-~-BuKZKkCIVMzw6oK0?;L
z$46*q+a5JGKI#t@EE5>b|EJP+y>j+d-)WOWa8o+Wf6$KQ_{SYu2>eYmGvd`G55>9i
zykS|(p%SRaU}LD|8R3d0Ke=pH@!ok5!t?=;-F$oAB&)T*d;i05{L=Zbcj!fjvfp*n
z@n>esds=@i!l;L?Wj~ZeOtbN?aY6$acJ$I1knS~tZQvONY-UnsqFz#RdJr?#8kQ)X
z^71k)6ntcfx;+8@u^jS=+{6l>5i2=Fvrviz=4OhGwLbp81GC@G$0(dm4SS`<@$2dJ
zp_YDDM4Ec;>$JsvF6MZ3yGk@3y!I4x;tZ0R(4-@0J_|(#O<W(ykcH@(bO!#13Y;LS
zjLj-1iJ|L|TQu!zxG&P$B%Le&Id?`8JfeRX0LMm1lZ4+2qU!!#2?#7j>f)3-*|J@6
zQc3na`M<cC{><Beyy2&`wtP4t3^w=o##V7oal8zeKjLkdAAa^gjI=Zwz8p5v`Dd{U
z??>^7iTRyv;u+$1eX_Og@H?KEyF)L7>b%3|!+i7`xPpQg@T;8ePCe`ZZivlWafAcD
z%$jXct(U;jc1@qLZ8XEKsr}JP`(lFrL9mK1f6wT_;`2GuDZB&s24uPHKEm}G#Pj3-
z))t3ZTc{$mk&STfcf_Tm`tUYHaeMvZfv_Te5;@yhy}**@yDrHIx{8@b*{>pD?6Lmk
zbot`ThZx!0nLms&9Nno6YiGxPaZ{&zo+Nsvp!EZb4F7i4V^)%jVoS;EIh99)V0^E#
z%Mij+?{ECRX|qm#ixTngKTCw@%6X#wUNsv2D>7oFEp?2p*G||-PJ#G{Wo`GefZ*)8
z(tzu2&Cs>}Wlswv|A1d~5xbV>gZr!A=ng;u`+yYL7iNKA#$AI|DP&Mes2mKJ#Sdjr
zqNJT+Kjrdqh9W#R4^`f>hmyYBBX!_!@uc<e&U3Gu9J0VKV`|y{=OXnlRTBT&X%}%P
zQ+EH7`g)r%{I&miS!>?RzFL*WaA)_+F9?_JN%=p(4_$;`*#D#I&EuhZ-~VwlV=G&h
z>|2Cn-;*qrEZGWKvW-1E30cn!*@|r0LqZZ+!ypVo_CmHHBO%+6eH-&Tqu2ZM`2No0
z;U9C(eeUJDujP3?ulp>`{3R3tqAGKD12YMd2Q1Liw#(?(BtHXqQMCO(;4KhN=-$Q3
zrM8p(=k*JBz8vU9e%|AHp-;XCk-z2c^EU|eNUNB>(Y_{s;g1{0IqQZrgE@*qlI<|e
zrOi{VCHwzMU#Z!_4MuT|g8l~``BuuqMT^)Q=R*8Qj^4ZiB6SF~^`UG(r|H5C5R>%p
zVN>W9LHZ4<+&7rZ@13|RNp&fnd}6L}HhuooONHrvGgG=K#mkK!>u2UsI{EPOy@Z1a
zM}%OE@{16O2mg}@HYV^u3NIKftOY8|ry8;a#ul`ebkx6PXIbsYt)DZPTzS5&X)~9m
z0zCe%iLPj>P_S{ne%9nL3-wbWSnAjPRujpAdw-$-_|3${m5!l)hNb0uD**{RzqXQA
zg%<pxvM4~V@uwWz)HZ7B1a-Q>W&Ol|gpd1CaxdPgNrI)dWjXy<QE#|RX#JM{*SpE*
ztXJBUFRPL6wE;1fxzsmaQXc;kpI(#Oo7$2zaQo!1GqU-opi6kxskhXS1^uk+#>S8Y
zKD*;=^b&G82AhCUp+AVkv@%bOi~YNgkk_n4ms0wEU-h(nM0rFeCDmPB%M9uOV`$Gs
zOsglYzI=}j_ueh$#gNP;pL=79i5CD!VWcQTL+^w8u~hF_$e1ET&)rgoUVbL#j=aF@
zFr+*5B<~1+|HpE!{=R6lu7P0Q`1X#`(x~|dedli@vqno6)!WkOb79H*l%9ic2CiVm
z`H0tpd&~5=hGAiwmyn-iVK)PRZsSEIp-<VbLA4H!m~i>Gt`iROeA@Q95r8H#((#dn
zI(U6>!jV?mpK#*HCnyEUN}NATOVJarNwU=7XUA|jjd)^iDfv?dh29hQ>B5pBXmM)(
zjKskfwRGFwt=!G^SxB7NZ4B}ChRP$zo2VW`BeVvkP1Iy|>6FO7mIP9ju&3Ja%ih7c
z9?lR({FWgAkF+@zmi+w1KVfSjg{*E#KQ1U*Vo1EoiugncyBj);gcZA0pF&!5uD{xK
zUzgZZb$`7DS`^Tpp0F^=fz1v(46&R_k3hJE%mA+@JR>A5d{?qV%~On8d(wqcC(2{M
z%Xr{(EPUVbSoz~5wC>`97YniZq^rU}02+VKrhKSmmMYzz3k!s}^pH-gn%gyb9ZK&9
znH)aW(hvQTUZCS{N__7JK{;5zTD`mIv#@)2Fe5)!Q;2QHto8PCdCzvFm%KjW4?QHQ
z6e|t;C_yJ)HB;2WnPEhzlt}0;$;0-U-u<tYcJ|5<pM3ywq45bIy+?y`xAHp{Bu*S(
z(}%|t(-t9_+3gDjEhqN+p?~@y0(HT85<<U631jJ0-i(DBh){&h;gQn+x@3oIgKI!)
zTlgSOB6o%O&zgB)j6(z;?aqW&uec(N@LMplDWLd^{|ID%XlYcHvWzqeG6d1aI%3rT
z%Sr+}acB<CvRv**>s^;8^u+D+p}4bl43)uoF4lZy6HE1p11s7(eOHh-FYPqxQ`r}P
zo9=keygVZws1Z^?ad#D2fRq!c6CpmPEY3|rAa_cvkc7)Oc4irFh}<E*LH#+i*!H0(
ztejjQS_id2%$(HmkN_Tv#|gU&HhtgrdZD`<2p81JR>8@U&RT}EHSrn$^Dx>dZ_*5M
zN+UQFE;HdLx&6^~U!VAsy1y0JJFhSCoB&CBx-yr0D;<h&=#=O0f=%yqLdee@9^x8L
zmPE=RkSdY7P=!Q3(i&<T;eR8e0iT84fB@8Ff^$$@>4{LDGos?Cnu#2bVjw<7_61gH
zzU-hI!?6SDowfGpl9wNomVE%jB!BVJVVx;>5u?R(!A5IcBZit?-y(#($8}%x`PlQm
zmhTl)T+6qup&Bqh)acJ!j!+!-^eJI75+8;+6t~*C?k%>dgN>KYF(M8j2*`n?T;dE5
z&aS@ro~+=UQR!EC`7Q=OCvff#Oj6do>areP9!~sJGc-A7=k_zUmaHN(a67AX#sHLF
zTt-9UQJB<Tby~jmBUX~6F`CP*K0?`USP$}=#&oh-7D)FK+tyh0i;FlNuLnl!v^zKN
z?=<7yOsBjv>7%s79sEEW0$8S<Pj|td6w+0XfC^!z+mqZ7ZZWgfSz%n`-1Jr~-KsKJ
zM^#BK?pZXs{EaVWzG|24G>Y2cKt!f{c-?IaI}fA!(D^du(iu~*OXbfAY4;=E>egP0
z&Po(Uqh8t0k_fVQyt+VZPo-(|_;}B_xA~?Xi|RYw^^cu2VOPe1L-kpgyziz^oJ>!g
zyDBvbreM1&;lub&<HM)~as7m|Bk3s<U^3rKKOtv+Gp~=pU$qoccx3twetmS+F9!Kn
z@RMKC6$!E~(fZAh3zdAafl0hE8Hs=8*>XOub1cP``{#kucb%~{C6s|)P{1}kQj2wq
zFKt24!I5=KHv_Qqql`%L(0%WL{dRCG%D8DrQE(nw7pWrgswC$LiA}HOtP2mZdkVj{
z$n;3d+mvab2RAk;#VeNf5%>?oN@snHFcpkoqo)2cv+)D<L>eoko65cAbkZMXruPIo
zAw~Z4l4OP8ZHCEXb?R72hgzfp|AdrnHk;RcJPe>B3PRzO_@S!5PW!}_wFKLYst|EX
zGq~73yn&xVQiPKA+-C<Gi(7peb(9pHEQS{AEza5xnqYiQjdn1c8*=}o_+Ds$YEd=1
z2Hgq1T?V0quM0yf_$Yp`M(d4UM^Sq`2X&NILX`|6=nb>k#@(799x}bNKO>?9?T&%V
z9lyEd?c}2?%L_s~5Hy#P{OBj_SI0&(a#sq#rviR_k`nwBSAB`6jX`142mT7lD%t)}
zCEO8N8}c2U#mnmg)2RD0Q92bWaZ?1lQGAU-VfL2>oW`4~GI;Q``^bKH`N`Bt&{4|q
z<|Psp@)Pc-EEA;DFOEH_iu8MMBR&AS!l$ZZ?TN^)8viEU8@6<(qi%Gee#OKg?<UZq
zS^+hMMx0->pbH^Szi(gb<)tV|@ki9dnk3|lO$R$*^#bYpwXmanCt&KwM$LqqXki9$
z9EQ>bsobZl$X1ARHDeK-g#Ym9%vZwm+xbViX{6knc@VS^LI)9n#3RX00bhyDxeq({
zh?}v|)|S*-k#<cD09wf0k6LQT>efD_0K3<Mw|bJ8-83_JuRp6?H^)S-#dkgP($szO
zR=bWiIKN8DAANEdt4{~&jpdsxgjZoDOda7@cDt&3(E)~0j`V%+9Mo7zN25J-&xy{;
zM#<cInwTgDS#wTVd$|AzP%GI7HL+X5cUI8@=DRSTn}Z;48xauFoFBR-acj<akOpmo
zEK%GQIvC<X8bEB3Dpt?>9Fp7&u-b4l{Tb7fB@2`;%ONSMt<lu^2Mvi6%o#=jsaWFl
zr4X;n@OVq;Z`U(vx@KU3_eq)L&NWi~0nm2PoF~rN<o-FJ)5iW%=T42P=bN3cukD=<
zhN@7l-PRQoh-2;F0K@(FEm`ug*3G={=n@p6G73tt?hK11ic@;?4YF_~nz!;CFVv|3
z<CK2;hWWtH^}F(5?g=qvY(YRzG3yqV&IV^lmwdFnu&i3G3hOy}1lrw_3>~23DPw-Q
zjuHhmAoQE}jkx1MdIeXOEOqCt3@CJry>EAHm<jD-i>{zqqetMoc(f;#T$b+|^&|!?
zg+%@6w0dwy9dU>jM&}_sP)Y0czrrhLNyRshRi3@Tf9!Tlh^e$k-|)C3jy=+}6!lD<
z4N%3B132H4$1N&WG$H5G+upLJ&+w7py2&sA0h<6Y?lZT?q7G&Qe2}<krE44G$h_n2
zmz(2&v^S6V*Vp*X-`ZHg=|@NLVHjTU;0IImOpEH|atO6Ii}=K;Ebb<H1oeFtk0|gt
z+{<@v8M!s<EIdAuWOsCU(Xul15^iJNV>SVTzK_0S<=(XNoCY;JGjR0NjsuqvKm~~Z
zbJ>*0WVm9&T}Z~lKL!Yp+!Y#$ARjMweP|@ePX6v9CLS3g?;fwg_uW{>!mHO8w6dXQ
zqmpQUDVjSOc8}n!4zM!q@2%LdsDL;!(G=>FNmf@;YI*G_wvM#&PY*1bl$$jLZrquB
z^T$NmMdxuSISZ#=Fx7#yxZgCe>;T2N$QSp^LDKadgq2=8gtd8Dz${-<?JQDB0&FPd
zV%!xtXC=ddY^Iw>Tl_Gs4+Nu#{saxpjttI7tYcQ7`>l>uvrIhsTed#i>-&-h?d46!
zUry3BZ&+E#6{lmdP3}$lDSOq4%5!Jm#&^(sd1I$<?I85sMc?>HCJZnH3sGd;-%qbQ
zckqI+#&pzMSi)7(u|R&LByRI<0R1xzqx#{8Fj31ce|XB&?}Jt&9NWV(NHJc6{8^H<
zLbd8fJ(QQ^e*}tWy2~?Y7a7`yhU$9pgA%%7Pl=S&IyB3)4Zy0~yGW;%QuoVAvh;D1
zxP^H7>cDwZ&!2xOtA%rch(~JW8(iA|T@p;E(0fgJrBO*`vCk_-H6xcaES#hHqy@T!
z5;2&G4q+1_L_{iuro=aK0u*7#DvHO&6$Ha63XIPEm4K{`<NmQ3H_-r9mcy;motLi`
z?uht53-)5cZt>>OoKURuh<=U??%mayQWYbPC&{{mz*GsF$kp%q)R=^0<~=7TQaasc
z)%Ru>!-qMNV<e@K*JTTTqth|1cVUmJ1Iv|M<&lbe8xupRcDWO%kqz*vba{5kR!s05
z|J$g7_CzC$$3DR;eXzh?l)U4`*gXrzYQC)B_a81#-Cj_3SznQ3vX!0zjwK>>{E~+R
zEqhaO?-KP5tb@{31Jndn(p5~azrW6@z;I)H@rK`gsQIHpKL#@-hiwbTp*;{O7-BQm
z=cBk=kKLLKxU8TCgd|Gjt^G#fuIwre?Eh~$hg7jY^$*0w%>V_@_R%}2CpVM^IM0QO
zVOtb%a_KL;4Q7X@yn$==(4k63JnT%7T!ZN%ILNkXC&J*vs;nmMhgpakip&EKv5$I7
zAH8%U#RM6++$qNcg5u<0ypC=W@Q4OG{d8-f9#kd54^Cc{7d?es3%q2}&9NsBVeCjW
zlKS+pW51ngXjFaTH8o|#g>33rjd%kO+Y*^g{ZiZAh2l-?PVvIv#w>d!3jvL#afj3#
zGS_WoCgB|t-j4+n)<G6k+qzEsOOlqnM{<@^nHN!Lzayn%zQd7Eg&1*X>grb;p9(er
zqPYoBH9{|W`^+TF{d79u#wnoLEzjp`HhoX{AS{nPg*6hcYCDSy&rOW@R6L3sDru!t
zIL5*5eJ_qC`k;pNf3IZNx9tVo45)!Tf@O2x9Q#ObDbJly=NY)cD9?}^C8s&Bq0&qv
zS{oIt6}A7v#&^E7p<5t}ou|rM9gt>^!vTkWZUNVPF4p$DhA?-8Nu{uQmN)v@8+>A8
zFMpZwwQ6j_i-SYFmXvIxwxIB>Fb5mW_i+rLM@4>{1Rvip75<3HF#RNLydYoaqCK?&
zgie!Be1)};aq<ppr7|^}ZNM$-4<7TiAD%P@1b3wy340~(DB9@r60Yo1iUV{?_ckwm
zO@v~GeL9z_S6=QfxS*41U-qQ7oc5Ua6@3^Dc(^9VZ0M>wi>AqHxwwzDgL*=zH4(^r
z-xV+Pz6A}8Xm6fQ@hikJR2m=1mj0Dc&vZ(sLo~$x=kc^Kas*pUHgzc*p=o^M+X5o^
z$xP#EtjB7u5ZuPS31R>QLxS1*iepJHiz|EGT6@khRaA2Bl53Egxc2Q=xwvdOW_Q_7
za~OIzTFGY>=8S8bS&!q-vEN$z*)<V>Y2Vxpn<Z>09JUQ8Pdy;|t=DBcOZ!|O$umn*
zpG)}?u62BZ5&ZpXr#e!B<}>?-asejT@P!0_qC)Cm9%2KghdKwC_wAzbVV0+RURXPz
zVF~|!W5k|mFy~YNd-VGH{Lr~|A(@Z+jxF@RXx6S}x=-bK!_okRPRj6POz8Wc|K?^e
z?BR6GaUNEq#Q?3>HC1|1$z^2-ndi58Xf)Qsfe1$097rFhjs#b~6z(*^-i3=wlBZ(<
z(-R)h>jdZr#qaF@k2H{^(lxkA1@qZYg<t?CRvlAKYV$ts{nIe!N{P)UkNTymqSRX_
zULW2pvwfuJ_Q4-Tvqlj=*UgNv5L8~>h4x>qtRNGdkg@BB$UFXY?(oj2^}jrUPbu-v
zt9xZ`ue*7xHNIz|i#6Vp1yozBuZ*-Z0ZM?hQdotNv|m!Vi!^Oc9_}S7<0Gs<@;-L!
z)=r6kL4JV1vi7QTqN-nC3JSfejmp59Ny7lxv_%x*r4D3<>jjbpdE5JM&s>Yj`4CQ)
zXA~JTZHna`@r&iVtG5w^-K7xZ9%QCFB#_ZFG3qZqPtECzpGu!Mo5EgK{GbYus9Tp9
zgvG1b=i0wnY8|nws7kau4lGi2BF)V3qw&51@+dbRcx5pgu2Jq2#@p)hQL2S^P!jWG
z{vpXy<QWOa?X9}YHe-^{`|b-6w`22|m|W$u*>pnk!*u;F!M10(z2O$hn#P^GE(7o4
zNyP>V5MySn*{+L&1Dq@gLI5(rCq)|n@nrmaK;$J6nk01cL$5eCT{YnLJ?9Qd$MCNY
z-6okvqbf#6sX;0g`*;L3Xu@_|2<MnXx5c^J$<&=O=ovp&9zSXCn%%b6gKl&E4V~0I
zCa&(UEoy>Ste%shqkWcN|MiFhgY<{aR3YaNsBo7$m$qNSEH^(Z0k<sAzY_9k=xoh!
z&g=7O!-W`vm}1_MLET66xlcnb08b?YOWcs2(gC|9g+j7YI+^~LPOXH?1l}Z`r83i1
zC9yqrD&e}k=x=``k~t9LXG&|oumtZN_%iL6_1u*wM$OOrjf$6i3=Hn}D3rjPh+bb_
z&9e6!o(UxUA%Lz!gi=^~K4?tQcbeZz7v*tfao<p16=30{kDB8@cqR7T;Xp&j$bOM~
z+}m*G!S)7urE{)%3ah0ISHE*xKgk~HPq~ca_^R<A)^dP(t{`GBaDvg+oi$3wJLS$U
z1vA;rP5hKdMeygEQ%{fUUI{UC3}uS+tWgV6lBPebLIJ$;<nd&t%qpW?4~-gM-6g5f
z=^(eC<F758atO9@cvuFZB-<B1skC+>ek!W3!pdX*uY&D7Hmz<9B6x8OZeb+<K;Z}L
z;9IebEUoevpZYyRM$N*EF_Jq0g4Wj#ax+44Nak(7GDV2ORd<>U)$DK64B5dmw1h=w
zUAwUc9-xEN88RZNju5YXpc_1+*wr<E(+<<fjA&Hc2CIQei<Upvpe?=P6czn{?6!IZ
zcnIZjy39E54?VPR2|uplhFL>#QtDw0*}m&FTvpjJF-&dnf)@vBE6RhHv6gOZ33FT=
z)f40=F$kgX(Y^0=&0-U@o(|rcY+}y`{F7D#0CWjhNyhZ%CD&5$^m)z*jw-wy{JQ7P
zmJ)g%g~Dzux0oXDqsM)gZ3X9~U8iCFu-re`i3<w!ODQO0;SGv0NNao1&7Ogbq%ZN6
zp6xVhKN-`1{Z>E)@~ckWw8-|p`J2%vC7C;-so3&m-(C`jcg0x1!(LFK>#C|oG!c{m
zwrkA$d+in|G~NR}`{Ix0112R4uS+a2@Z`t2@RgiNMl+fas{L+pzUq;uxP~PhNqTEV
zety2~&Y$lC4{*sKeB!%Xgu1U`@1tt=GkjBwQloKw5##+gf-A>%p*K~C-5&QLc$LP#
z^;jQKZ%=c3cHI1e`~bx?j|eJ)M)f`rup3XH_$Gb)d9_M#{|9zGt}4B&ym78K1oJS9
z-G*eZyZPabR<y8qdA1B8>sI%}KGXO)6aN$2s5VPxP%tj8Cn#+&OFG-FMX!R7{e<F!
zE<9~L7tu3`{GIl$s}&++`28z4UcA*`Z%;~|yF$<1DnKG?`Ebz1*2U`fuUSC%WXwac
zn=E!Qpkn=xlCDNX(qzgQGsfiHy5A}*kGBD2bRaWtzuvTOZF{J5ii3KuaN;!wZtCY)
zkB}zA@yin>T(_%rRo$O^GG4icE_d@PA20NN?8+d=p8Cvpam_A6h&su*A=kAiXR*(;
z5k<&u>EAz!26ti1TJ^750G>eh7S4|L^p^0=&d&_xv*Mon*@&s!`4#hJ%um6+d98il
zZvl0-gFFXA>_f$ejAg4eXI>vV9d}b;Ae4cVtlJF^vaD=wtPjCFrfQ6w%vaWJVR&in
z;`20}Aufz|$~IE9@NJT^o$n$=Ro$bA&aeTmY|Qo5_S@&V9s$&Zh=sAbN{@i_>@eTv
z+7k*yr?scVXK(Lg{Kst3{>SDm+eDN`Yx;e~xa*Sj{u3emPw^^`nRpeFQxjHl&2ILn
zu`kwPBJ8ZR5Nmnwr*>{@EDhbY@~xQPu*r|izCmS~H>(u4BPOEM#m3@l$1GhuSknqV
z+F?W%GwcNRfWX;kguP^$q`F|2{AE}CtZ~jIX?j$YnT{8yIT7Ql))5J~n~4u)%lE#X
z>ArlQo8nai4^h!q8*zAFdq#s+OTXLo2@y)x9~KrpZo3#&o+}pDIU&D@z;Ku}dtZ&J
z;qMup6ss8uhPj<O#D((ePHC=GG)O5pJ2n}SJOO0$U1xqM^kecLpMs||ZDc#kg?(Y=
zzI^d@Y_Q0u#D%J;d?61Wq^g&-%%-YX4M%~QC$08CM{`yajH<P)HRx0kBl4@hmPFMf
z*YC8I!@e~mrsyREr|(tXywY_s_T9D#Qqi-|k!3AcIhljkm9H3L=GNlec+h*2)+auZ
z;{Y7UAuhaplo33$QZ~@H)}I+I<eKbdf30dE*>|s^Y3m&eWNl4`LZGYx$}7of9{giB
zb4N*hW`GJ^wD72OV(+=)JEpE@nr77Uzsnj+YYe;l^YTb?i{@MTiLpsZ^5X>1S^uJs
z`*q3~+E6<9N0c~qfsxB^ws<Y|_0bMM(V!&Rc0SA2-VWm_Gih5A8c$+YBjg=byXen&
z&e|n&2KCu*tRXsWbRD|#P^-A;&^ua*U3?%NCs-GcIoVtGU+g~$i6+l)xZxFw-L{YN
zC#(g*#u&ap-U<gl+>_@>pg6$#SiP{Cu+6I(Ei~jIt(>rt>(6Yx9?+Dju%QgZ`S7oH
zeBBFq^U>DhdgzxKu7ySkO^ePt(|)NUN{>o%G^vwe5r&B6CT$6WDF0H+XP82pk>(0M
zjHEvOKT#NIREg@d;39#Ms3y;hI_#Zmdj0EiwgJ6w2q=BFtokr<^rk6^DC2F$lbVL*
zlh6ELoB00b#WPxD0qje4vU1{XF0RwV!=n>Z;9u5zA?5q42QOdJVGIoxOBFngw~a`|
zlIoHIE5t4a%Gfm5mh6&rk<v6^R@$d#4|Bw~Z~BvD)t9M4CkE^Q$LTA0@v1S3=#PiK
zZ8^90LpeHZF{M!7D~Qh1x?zut7;CBSS8v7H4!OQX)hc`f`aM4@d>=iS^kB)6xqdvW
zO>~@t@*dBY&BSGYbEOtfICep?IgYH8q9w6ZDD4MAznnfc=lA0;5N9OEWR+e`dE!*9
zJ#_7=R(#Kzk;O2jy$o>rE~-I6yaZI4M~$V6z<W6c+Kz+}y2@5@!S|Vuu5V!E+aF_9
zk=kmiz?&{$m@yM4neS3}RO#<akv&UF$wx+BH|nXk@R2Sed>P(9-CzManP|@e%otZg
zvkIjIG=?;Z$A5J8Mii8_zbVq6GCq_J{jf>7s-=oLz_GIKo6mwPQ8w4?zxRI*+=%q}
z9!hgU-FJ>Tj7y!rLZI#=X6nZ3iHN*S$QTfl`{zs<J~3#3;j)n>X!&WHO#@^-(s*o%
z3(JDmdUG)&ifZ@;QDKtk21K%HIXyYv4&%alpeoC54k1maQQ{YO75i)-ZFj|6Wf{wT
zTp0H4eyGa{=EYN{_~Nt-UO!ZDZi)5K8ueeeF;H7V`;(!TA5vB_`S59;-2~tUf!d2h
zE92u~G_Rqbt&Hk1s!ah`)AvBV#yllZ=_HA0E5n3k`1OsU-uMe(uGTfbJ({RxWC@`h
zk@Wh>0jf5G1UdI|I(LWj6TWTbvR&4OjH90?ANTZ2MZUa9T%?uvUshv85XwjbuJ9un
zn)|@i{w$GVd7Ujd4zTGtkHUzVD?RvqT9xm=skFSnn>BR_e>d7NY1y-FFm9k>t{h_8
z4|IQ-@7ZxEu!#Oax7_Oj%~rLkkMDMC<Ah!)#T=Q`AC1LMm3lrUe|pi)pbi|2#mazo
z*a#h%jN6EzvHXySo|vb?Ijm8Tl+_aMnvy*;AYo<9HCwI&o_kbe*vE9&w_3sH|2{%C
z)8f`-1;Z?K)_;tvm@6zrWv?twOOibz<rCBmt?3H|2SlI5eZS-c;6V5ySUsUX44^hp
zeNtM;3PJ|q7pc!nR4`3%)A)V%pYNjT`5EB~YL`XeT*eOVy>)53M#FtoVLft_m^dFK
z;gLlK0FXBNxLAvRTEKAXMG+>8^jVMbA<OO$>zen;S`T7kXB$82EUoY<1b)ENs=Y-@
zu(o?aK54Xj4%IMeyxoVH^(|Y7H^KL(*Zuc0BM?-On5m|b-CB?DtthU3?bvrzLdMl+
z#)g%Ec2rbbP1|Lp+WD*6__*AENp6mh1bD%PnK@gJ!fG)4mvCh8P{fmTn8$~);1psO
z)z^8JXG-SZWK5evihrYp^F&Iz{jOi%dsb5GHon=SI&;{ts56+|ayZ;IH(3zB-k*7!
zfh7+xWQ`I>P*Lffyc1j3zmO#aDU%}Dg5>xpPUdY^M4ROd(f$tK+y?a0bCo_7mHfR6
zH(_bIUgU^rs`qO7<Z}%KL}Sh4Z6qf!B;mXnlQV7`&l{sQ$4SgQNoB~_^2n`y?CUAI
zcbZP7<hru*VCpGz_OUM{G92drqQhNW8sV0Famvs8TmY|`iwY`vDub56>*NvmwAEWH
zf4`J%tJu#w%acr`7yvJ22}=#ZLRo{y6+8QecmHW#oZ7ZM3CA;4x7^S+YZ7^GItCUS
zN#W82B`w(;LcF@sd<iCtU9*T_?Qw%!cBlm|;qEPhXge)ZBB&6T-!L%J+D&u}+{p#P
z+kqotYC?>97w3|t^9+dE?fK(SYKD>NYBti(D+<63ijWBjuV*i8R&kjy4u;^>0Y>!e
zd$7xO9}9{~=n<qnYgPpF@x+6>I50&-aO0O{TLT2hyH87tN~Fl1vFd+lay^~#Gqu{+
zdb|9YqK%U!YqYg44>*>6w`VD-;GbX0!qGpS#gyme;(8f$TlSRP><|6dQ^%Emf>U~)
z5omSMvGbod__*+d#EsANVsQCXSoYu}4;+A~UA)5atd9XRcGHOe!n+E`z_LrblUy&|
zSob2n)cFNNY-+kr1gpfr;E4a+v@Nq_7g?5$N9muv=hp<s*bg_<^|tKb$yIZu7=qQz
zw_*S~p3EIP`;yCf?iiBUIu160!9c8mGMd%J#U^>;zADKDt+ki%_Tl3Js8jmkSq`}Q
zR^NBjt7pqMFP#H{#gej|T)W`URUFPgL+O4h&lRNGUZVofiOQHI|72$dS#)yC<aT2X
za%g!aR^_%>LD}KWj*B1IMcw3;dzKGLzkYd4axFr<a_}+lmkEWqIeGgvpm3tk&1?Ct
zs=Z(pI%AX9Z9pPUr*-1|G~>fy_qCP7*>#*>Ky;OViv`?h=7R!{@X?LGn1`;b(RwoZ
zhq6(}h>vPiX%ul)#a-56Zd<fo7f1xT=~fr}Rrx9V=g7Ai;c~d7PB(NoNw7MhufoFO
zW!-bHiWvLF0k@ZOg<TIjfQ7JDrcDWK_(aqf<G4U68-go`d|vF_d`nI`-iJf-<cFPp
zf*iH-xBeW9#dA-HinGvofjc&gZgT^5AJ?P5C)Sm){M7jL9=0GX5VlD-O_!Pv9*^W{
zj@LDK?iX~}B+S<oPW*%mEtUxp1zz6^G!;x6bols`8cJJf09}eGEbj0pId}I={bBG8
zUw+Gz?DAZn|3VjN<ye^C$-!S$aj(2SP$2)3!3i1K)bge?jaBTSTKy`7?Xf8v_I}4I
z#c`Ya@hUN2%iX|7E#jqU(D?bTc##`y)nL3WVTyYtT|W=S&2Of_QYQ(kaLhfdEu7w)
z8Q6p>y$oZA^;2{~ZOF%nyN9n??K5r0iYYn73w5W4b<J7&II}niW#2>!I#VEY)<Ttd
z`D7N%Qxi9ngYyHh>DDh~Q-tU(ifyG~x^&F;12DT0xYg?V`TW7P%}=w=_YC~bGGo_=
zC35ryH}gzPc|w_47Xqfp3jmuB8XHH_90{6?0~=P9oQQ=4{NnVcQ|<9(Vppnbt_Iw@
zagLMrgjoUdO%ZL6I>|_VBJcU^SW#`Fr-k{^mj#O(JO|c}O=rZ1oEn*vPbv5|_dUPT
zH|wG1N@CGQhKDcHa5XZ{wA!PW$BDMzn&qA0l1UY~0^kKGHG@<Mp8cgV2<;aT0)9%B
z9$Ztvqh)mW(Y~xr%Wx-tq`<!=<{y#a0kap0?<Wg+m`?-7XW5~@Et7?1pxSlEljQ;w
zpo7Yk;-VFrt=9*MzCz4eKd8_1;;8DD*q2pPt6L@bpQyBRNvCvj-^;`iZ_pb5VL%4B
z;-A|FUuUZ!UAvQsPY#s_g2C8IIn2g&aUeLMKeUQ?XUwacpmVZx@AUJg)n7izb1a)S
zQ;~R~qpgPLyIRCmX#A?XPqhmNVL<;TNYrQA)$W5``3Vol-J>gKqa1Dk2g&m4FvM!t
z7f$O<A^xYOC?a$fbYX#dQ<M$yp5c58cKG~#&q-R+v11w?cn1=Wr*z*I4QU?Uh7u8W
zuos2w1>Z&HoZyTgfY^<fg<s2Dr9#-ESr89U^f(J7M^Iw{v8iN_5m`wUfqd;M<s51q
z-q){d?ep~hqm+bdHfW+u`<&ocJ%`8g(FQ<GUF6yUJpcckEUh0CY%1|jM^nK>#`mHN
zVd65juIh~Mh`Hw&t%`9|4HT>l1bt4GidFX6SxAE4+&3h?^MSvgs-)&oDiW@6v;f?c
zedhhyqLx|y<9iLdf2@(lf?^Gn=H~76>xrVbl{mZ^>#Zr{DE0ty@?RS0*7Ieg433Y^
zB>JvX0wkq{M~_5Bv&ozq{EUG5$<g+OS(A9~vp&Q;(JX@E<iM<9x=)D(d!x6mGvpBW
zs52fue#M{YoLKjPYXMou=@jVj9?q5FpBM-cJIJRLdAINt8>|cxM$2h19==ZeU$qX<
zP^Ieq%x0P5fPT&Yq9uxXt*|WTqBoe7AiCGLz-5<$pY!}RJdPMacKCqUO1kQEsxA<Q
z5j-|%AX5Y2YGi|A#HIvXRHFLd?|uBFBgB{hrEuEQQ<<p=WhAykFRb5S)EmOg3b_%_
zQT1vtJ-3|<O;{c$fWir=lHWKlDr$5L5l<ZeeuW>qG%UNeJPW?!9kBtTNii`ySCshO
z1lso?>~nU1RGHoTy@D@_PZEELiTSGkW}1Jx727BCC*<+45TXXDgs5_S6np{aH*Yhn
zGLbv<2>TFzmu>3I5A|$tB{2h9omQlG{b8~n-ShOjL|1{ymVd&<R51<NF9<nwK(06N
z4{U5MObXO-knGP}D~GWh0BCjT68Fb5t9^9;5wV_F{5F%MuXk6dB+3}tj8_R;esVUa
zAW(EA0IjTi)74Esv_``1@ruIXRv`lhf5Dq|ldqC)lM!ovzW7Dp_w*5v`vjbAAFm+f
zkpP@#B0}at{#N~&um4rQ0PIlx`PTud64Ad$kCXJ`Kqgkj(U$Rap+(N*uf7PS>9Z_D
z@7fXa0{3E?2kD<Bh0B*3naXEabOD=v=Ki3j^Epi5^!J#dD$_b&teSs%Kka+zuFJ#a
zhn$rUt=o5{6!d|qnWM+`5*JNygnYB}aS(FoYRw7{Ic;0f>%&kJJgH5Kp<UC){zB{H
z6%Qo-Hi6B=u8FwZ!(w6}t*E~V?HP7>4)vaG(Wxlq=CT7gn!@YM66M7L(=W6nU!i3a
zKhe8i?umGzkRt7MyU*3BU(2K^+ngEFjs4{%@?kn1$W6}HE~t-9ZcUi^C=qaMXuA;B
z?(_d6ig}mVge|OYh*r(CwXCfWzLA}dj7`2IcEZp^M*4-k63rZgje=sSJ|qAf>~i1>
zZmv7N7-MMg6<gQyJ-@FR&b5&0UcRW`78QMS;QPt!?WPA!rRJ_DLII~=Tmg$09F8-X
zBLPFH)bl7nrTFwFT)<QP&=-Y1=tF7i-^OM!U_yJ+@sC%i^s=r`r$-6~oJmu4)8h*n
zw`Z#5E;uxMuv&#5UrNhq4K+8|Ba*tF-O<@=6BMK;WvskO>SjZl7Gb3=9YW4g-Zjyd
z;SHtPyN7EKQV6a7ln#Vls1%vv2mmaus0fD|gZr&wUZZ|!sDut#;?C3XX(kB!2(A~q
ze%hH%80*9v3@DzF#;%G#Rn0se`k@l71UGGqbeoF~Cb^B@+m$?y&)onCFCezY9rQ?{
zeXQ!jS^|gck)o~xcrInv^v%oHsTku(j~Oz=NaOO~o$><A;$<Hn58WwbDN!FjNkvly
zt|*X<Ae4O?rn~1fvQ(|3<bhv(WT=zBE{D0iAaiK1uRcBBgSe}g8B$X9qZZ4KI?Jhj
zx9eH55{UY%kf96C8ac-g{{>g2^=HapO`}I^BFM~IVjOAIlUX&SLk_GT-~y^vkV7N^
zB&C4QzH=W^5p`g734&`nkn_B-ZUUF`rp;Vq?EYogQ#gYAbhx`Cw14T2@;Azpj(vN%
zO?x<l)%Hy+0ilO3MW>?QK#xtf8f#MBhKKErF-ar`VDfMvz-JcIjP4eGeOk;T$rvz@
z?F}m-kiXVGU7dA&VDG=6fG>WX3k`#X0L=T{Cvw;ghtoIUv2f^g<i<f`UJ{`VLDVm=
zW<Ixllkc2ujfO`#fn+MIXHD3>$lh5ZJ5_n<XYlcNr)b;oAl=II9AOlU<{BB(>KC3p
z8@2Ces+|3jA%ngVLo*H!$5%Q9l!czN_pfV%29V@^Ey@0)TH~EkDLyy}7A`2<T%A+g
zHNr1RVoOokEo;Wo^n@N~1Iwu;TSY&czj<DeSrKn{5=&htZ!t6pTps*3#RYMG&APkR
z0d<e{9zN6sl!i%8E{<=w|6|sC599R(EIIug2Bl<9mdvm_o;&#lr5fmFLw(pD^d%{-
zcQQ>$am5fDm;2{cObh^`3ZJ+skUV1crpU=z2`|LERGdOm&TF=NMg<6BvgDQ1_qTuV
zS&SEj8u?%A;#7ZiJ$cUtj*hx5)pk$xl)1CKb7HmX-MJ1Ivu!u(U^ui7mQZN6qop%`
zee6hF#;Htvue$dSk$CccD;`x(MFHuCwL)=SWNk)aK*S56fs6J=JXMrx{EMdDj-vS7
zwf)eq8?D@|M8~C1ot|X>*#8v4A$BTw0j5tH1_@zdSqr;1^q1bU62FQb@+oN5#132K
z#btXv=3AeAUH040^j5$zCNmNRKj!hF6ET@P_1J@XqRIA${`R@pw2@(0pe!U_$6?fH
zM`^{v3E;)*iz7pHGg*4|q8rNeD*581GsmV4+V2TI;ml{e>-5f9%<Jn^C23q_LkGHL
zXxt-GuQaIAm#73;*knjJ{KbCU`9j-C9-(FHQxLdav&dx{m4ZIWOk~%h>B_K$*FP!w
z$U8Argul9B5x63ct=0-*L_t{-bZnrWkAY)4s27PQNo?7C9ack+Ah#3(vRG2}m70lE
zm8Vuzo(=&qR9k~>o%pRxvgxea7UqK+;@`q}#qZ_j3^xjuH@$Ae%)Zn`7bTnbzATuq
z*~E;Iq|b++EU!}>JQmzE8I#KP_H}U0?H3Id#?s<cdo2(=bGf~1(b-SksBj6uVj!=1
z?N6c&TuTnSMw%Qp`a<uf<h50WaR!^boV;zem?aJfF|%mMHWtOoVHX3ZLF3>F<XyJ?
z_ty5FTu}+Fnw+^P&l^*yC2(6;;N9Ialnd&6--u5p|8NDzyNUoFY2<Xm;TA|Q$<g_H
z$)>AE_1d1kjp{{(6=j<yRiMX+<(Ed+ERrg1Y4DQy`YNs*w^Pr*>~<)BID1X&SIdw&
z`q-O}4c%<}Ek-BXS3t>$F-f$Od>T-j`>fO1SQxi--Us5pKxAammo$zZw-o|RH*Py^
zm0ng)KUye5G?|b265Ws_mA)xwm-6L@Ow+P-`Qmn3S@f(g+a~~{`fl0ngaP@&wHJvW
zBEO!0=*BHT-6;RHrlp})=lH=-G1NH;rR1E56J8q?^DdRReaC#b50Oyf*ut@{X<GbI
z#Cz?$&C9-$4Vv*8u9<Z&&Efs&fVuERNT#A>{gVIAg10neALNtB{y%(@o$E@N6S9jB
z+|fWN^MdwK-pAKx#*2PgZY{1KAG|3ZHo=-9gnjGOdPxM!eFZq%h@M?>M3#sd%3Gu=
zDcC+dmQ}wq!^HhSxpD|Tse9p>nH%y7Yq|<Q!>H|33OCd3Is2cb-yRtE+M;-IZm1m*
z5yXIlhB82pQeMi~p|KJOFXhSsWSR$_R2pbj^EB?%t>Sd0@atN7CX?pw3dg}ZkUW@p
zdweqCf+rsaf?|@*Bj;Y%P(Att5;j#geoy41HSt^ImWBksmQ$^1MqxxSBH;O21W|MD
z1f|nO!jlQ1$<Msi#=Hdb^cO!s&@C<H7v+`5N18#eB*|)8xVZ2DSiN1rI59KxtYl9R
zYb%Kx>pU_mjip8(nK{G#g?<azE!MjFHIa57Z^_oprqs%)7|h7DfF8Z&hn>(_(yfHY
z3D~Vl7*o)DsX}z!j{0<u)&IBzat^Z=dugk<4|YeGq$h-8LrcU7jb+P;g%80|7p>=X
zOzEjI@Dq?$z4_o`w&e-|Qp|GDPuhjG7G{k;E+9yHe~^gAJ}xDko8VD+c)IhpLJhQT
z>Ooam^V0lN9RRY2y@z{OmHjP+^UB)e7`H*LGv{ODW8g(bAFo;SD7c4vbg28vtFi?J
z?WhWAkEucVMy@wM(+?l}D3GxHE+M2y0BYlajLoNm>U*v$$DxNbTM2N&d(}Ou^GgN<
z!`y%D3)%IORq=G<7<Ou9@1JnMT$mMpoeH5?x1TW#jXS>zmX8iY6>C)d%0=HWI2{)=
zf$(%M90YQ+8o%4)M@yjrh-$|I%gWjrnvyD`T=U49Vr9D8ij1Y)udk#BFh9OAW5h-D
z(_NNc85xr9C3tp*k=r}L`Ryf><_g=JtDFQghP-BH$tAo`e3VwR1HsKKD4pW{F5=zt
z_uhsy2pviAyoMZ)mSCba-De(!Dkq#2iOg3XtQGZVO3v`U_fpg2njkrL_6S6eEc^UW
z^w`?4P|D5L)7KItIzY|d{|!*chmKbt8U~3INa?(cb`&@au>5)8ZhB;|kr*p9P7)1u
zKHROHS<}gT;C?sr)?imrykhi;%#2eFO10|;`VjS5wJ3vhnkr88?+s92@fkAvMnfo^
zhkG)j`sHh`xpkM_-!M6g<g|7<6+Gwx;P)j-V1vTR{#JkpqjtAxNA@LeNEchTXz{)t
z^C6S?tpBB^x#6&Bin1?cMK%MIOLA~pPo^jGRIg*GuJdT0?p#$JG`B(YJ@v`6F_^Q9
z!Xr&uLvDy)IJraU@lzDX<`|qmpxrbg^weFvhTN0t&27Xz7Jk>tRRtb7--><Q4z!@d
z0Exvio?G2?%AO?F8^pZ@2FeE83nEt21U;Luq+uwoX+GDa$Y%BF`Te`S*RRu^5TgSv
zM~9*msRX35Y>n^^WS?j3wriP1o$y56TjwTX#GTy9+V}Pj4_agBvg8tUzUni~U#jaQ
z#$lCFePx(GDA=NsYx>W8xx*(d;FpGw!knSzMyw9q76+DH+E-?A>KRo_ZcKLnHY<1_
zprSZN-4lBlfRY_qf*5&wDJ{NB54^}q7Q&Uz?Zi;Yt*}3T0~<?Q&i|#8Dep^>X`re&
z_kjrZcnv&zwz#~>@;Rsx>wX=n!VW+vZj>GsD9_W~{9yC=wY^G2w&*V4fHj-Wru3SF
z?$<*AiMKqVCM69)k3BjU=spMlp81v#oVM}v;c&t@)~P3y{(vOtE$Dk;8<ujLVAsgr
z{QolX627}3Sl)VfPuQ^|7@48V3?ix|_a!TR@sOeRGT+|G2=E&oxsT!+sL&6OfBXfj
zh*!FSM9{;5|G$uxQp*U8xY0`<FL@iZdP+8QG)oH}RgZ?4=4~wq-LJGFI=L*UkZYKT
z^*WmHwYG~omX%y+F#eG;*friDDhYM<tNCE?mUp~GYbpNj<>)b<#8aYb=E={!9KW~c
z!L630@@{Wdx^GcR3*btt_0b-CY=TxUIdiu_J3I;kH?3^xBai-Nzh0{>`$OTZn`H2d
zAns&hX@@sF;a@#D6Y<aynHNsN8GpkBK(NB|ZyLL_*A3|6GWW_^>>Q(Y=T-3V=m6T-
zG8~`(DUa)#LpS27h$Ib5p+skbckF5RFF=s?ER*)3A&7JWHdF24J3{V}cVqV)>g!No
zl?$gQjt5;9KA9cdSWJ8&AK!v;Ed88_x6I;cfRKk6$sS4X-<8c<Sb9sWa=<%#aBTF;
z_vMvx`U@_AGg9@U#=rlr5aZRHIHFaES=+gq8tw@5roGUi_vT0&tAhq&(U;V?yvZxe
zb=Ql$`KL|ip&Kdpg4l?YbX7`5x^K@`Qqy6~jeB59N(Afqf5?P2h$#Ga1yPTR9lH13
zKI4WkPD;^^qRPN?>HIDHMprR%#1^c2UMHbRTZhlf&Xe1c5b=#Mv2Iu;Mbi@*5<C+T
z<p99Da;%GBIAup^@rhh96598-Y=|r9Z|fA~G^ui4P$Va=2P86A@??;=ZVA3NEmz?A
zhv<BGS3x>GbW_-YczaO9a^{_5l8hSZRa<Z^ud%uZwK^()JFESmPkLTzj8=wn(u9z(
zQc<t8OXZ2?H<Jl)f&^%QkIzwRBQ%k7$&?}SAype?y{m%S$lZ)}h3FKSWry(MVAL6=
z#m9H?ek|hnGS(XI@E_vRY~mU;*30l-SybkEjsSdEB+8%h-8<QKqJXNaA3Xy#NdQG!
za!>IolecOmtwL-GaS3+J{WZq6VCbc4dGQ`mYe43Fds~<zSHHE<;eSYou{9Wl>Vf|A
z3$P5MBK`18(uPIw-UeDlLS<f%T$s#HFspv+iHp;$vB`C|Z6@;$?7u1TcUs7Ov}4qA
za`}86QBSSintJE_Q8WsE-i+sgf&u!@K<2<Aw!d0Xml#9SC$$s+Ab>Lxh{+QH^CV-*
z+NLsvYM}u%%OPg~)N)2<u6Z3DLiv)+^BHl^)`|i4x!lobC1-*-?EDI>!lQ$ed;Sg)
zcwD!kaf%Mg4<a^Of-2PjW0?xsh){-bFNeDE8(HQpL8P8Pc@P8MJ$>FTbh~F&OX^_C
z3*ho5(2HYLn9c4l`odnTJ6$t2T{%P9e}yk+IySLpkbF4-KQiF$F*cYY{bJEY@?ZD|
zQr9)WX`({<`XKk`5yqKAK!C#PzX#Xi%BtvI@Mfe<Iz1llaiEy)D84!^MeG@vI(&fB
zHZlU?%2K4Jx9a;|U?%EpRoG2&WKMB5ljIc=Wbd5nqPa+?KmJ#}HeCD)EL@yFeJzJZ
zqNOdx_tOy{b2ycX`u`;(pHsbaPFv@f3}TXOuONnRk{GW%1=i%?<5W`F)^A2cXA8WR
z&w-U<22R~QIxs9ky8d5sB|H<zHK*l4{E?l=O$*gN=3Muna4rJ>_1D4RUonY#VKF$(
zVYJO6k-E<Yg^YgCDHDhBwtt3Wt;KWFGh&82I=<L(CQPhHkr&+d)!cvH5C;Sn>Rb&#
zhu+K_8n-$FE0Hd0w^?2;i}He$T|T};y&=)8=(*-o-~!i%Nb&`%tQx=s&Go;6MwMbv
zeYZje)d^glyI{b~F)oD|JS<ur)~9rTPB`}aV=*#7zeoM9z*y~O$-IJ)!d=d05q
zCaGzWzT3$EFv~g+vpjz?T`|<LkexSOGeew@Ws${oSfP;G3~)X>{nj<H8lrd+7GZ4%
z3RLU9-eGSkuAe17`GyOQdMWpZp!|qpBtK$@4h5E-wyWZg{*|4ARj0}rJ>rD4@MX$1
z=0qb%`svO66b~^SJ?5Dwuk<zk?Zv`e_Brl0vVEnaSHGxQZbax-HYfgrD}kzi)rQp~
z(rW%_Jmil8+5Xri5Ys8E_oY?5=4Sps=sC~01QAT*eRY!sE|N$(b^Y+wuPb0g0uRQ0
zc^`1FwZ?!UZmCJK0SpW4x~Y7}7yvbr!RYB<&wMH-`Q5ALTjl4i(EmgsFqIOO02#w>
z74ZOcvc_-XEtlmV`mT&H`u+Gl>b13?eQ`C3xP*DBIr?2H)PI@Qp*UN8bo1=fy4LTk
zEu>4HB~Si?wLcIIovWVpQJRErh4UFysTrck4t9lpnHHuyR7U;+KFB&9a-C!~-^FoI
zDy4eQ^puEGgTL2+b`BWI{rp69Q)c>Ek#H+M4;8Cp0G3-1Qgj&|eKFSwRg^3~wYA|+
zHBxO$uXuG<1N&8cG5Q!%FkL-EYH>=|_Nm|h_`MEC%77D1IpvvoNXqGLM}4%qF)}9c
z9Amh|`)bRTY|ONYu?g`Q7?L>j-5Z^Lt6V-!xP5=^cM)I!9ZLU(3q=c~)PnXz`di5c
zVay~$zfNyz!dka58>0DV%WHM-nsN>24a&cl`!mzz90!y4jwRyIr4&wMM(0tWrqcos
zntS(=?zqbIqvLz+;S0393~mAq2OR!2C3EY{X3G4Y$v<$;X?M_4ihdu_kFf#h0d!X`
z&NveIQEAWaBHRjg?Yned#klZ($}?~}gYqO)^Na|*l?<%pH=?sYgJ-6yS!QLs{VTn7
zFttNFEqE<KP<9HE^Y|c!w>lV}t*ukFW*c*wbXTTiaPf9r6S~%~D8-Z@7ruRy6d;>#
zXFAS8#L{;#F+Mg^=EQ#!@UM5>mjiV4at&0mTG+c-56iT3^d*&`*(j9@TwX<eU*Gm!
zxjhZmlJS2uqvMRvo_;`-=0=CXQ#5y&Bmdg&<x$R@NzYuwi!2O}ef3s7#xWI_PZS*C
zv@h!_J)|jo+Jfq0Ns_<sQ1wZb=|<kT{neFG`dX^Pt-`e1EZrWs&q&~hJevac2X;|%
znofbYmia&=^jdthme+k8;p+#*z~#Hx$Q#6ZT68Xo{$L(4hn{zQL{#1mrpd~U_?y=R
z$ZY*j_d1n0zk`Ju$xG`*!79m!7O!fG)b7%FyOtMjtKG4ri-x*2P@wo3Y?&eax1aWy
z)nz0~)x}3JcL5$Awa2*vskNNH>>l&{?F)u7mVOsbveE{XdvoB{umZB%yWy8n&KhW|
z`S{k^DBn4oMBKShLFTJIrqbYbk^RhzNXk*yqp{chdPS7y9Iq!e4}}KXZE9BJ0{<mZ
z^wu4FGka(<(((6u=DiR8vr1Jo2iZ11RZCkyWKsd(`6Xzn5d+rv9eEs*f}duag>4+o
z<H%G7UzQZE`j|^HU%Zz77c=hvZT}M55?<@IN{4Rss|5Tp@n}`=Oa&8|>N|Y1OP$F9
zVQnTb!}3AS0b#%4$IQ8N=XA8pWXo<rDW%wDsdN;6NxwwD=Wk`>%IWlbGEJ$yS^9E4
zjt?vx-gdO?^3mx2?xXQ!v;zBlf{XI9tD3nUqOymbSM-uwz>h<`k5{p0z=y`t(tX_i
zYT!}B(sXbgZZySMC3MAiA}!SdQCf3|qfmk94(1A=Es#IVk1@#ln*DthGq*s+Wwz9z
zWT%w_X>V^H-{x4^`2E|HAps=miKp#FSwTS9;O^j$?9<OJjicMwxeX&iAAN{UzngqH
zUPmM$;_0J@FNe@;7IR24bm7|1=E@M?eU)@BS}9BneJ;YW8Sf0<>GI`dE&N)o@$Wa6
zZSz=B>F8p+B#SGXmc!by&q8m-9(F!Uh(<S^7bstSrkV20K8BMsHXC~B<<9>17l!`8
z`uT@Aoh;#BiQMZCt1FDOVLgFHS|h`vD?WrDlj9H2dA}FKTj-|O)(`KaJ)Y2I<>rKj
zzE793Q44DMeN!2S_uJduN2{8cX(q>m8L{IL1VCb~bL4yIg^h1m5`x+Y#YcucNgUte
z9`5jL(iNiNYvsDe`Sfjj$gCj#@OKW77%IlEY*xQiY`BV79G5ZmS_usO0nWtZ+w|Vi
zJDbBNbe~o?hZ_o`(-#AumR!~zexELz-e>EVrN1~lojrGNZs3WJ^&u>^$O8HOB=4Sf
zvh3jW!S`$Rm)0gTr%M_7b+MiFg3)}f1D-=~QrN6$5ZzQr5j%%K;W>{;hS^JiH|x2-
zraT1)tE>TIvZg`?;-4?yFz&85t_VfcRBydoI~p&%*(;(Q@gZA#wp5QFJj){a{Jf<$
zJ9YDU6hhWYFILvzWJx=sVxzAYmYPUzQw+6%nIz(#=0ZQi4qBUcn$l#^_zrjFghWpU
zMV13*7n0`q#~Lri$%bbpmq^9|k|u<`_I%C@WVSY-B0&+RbF}^NR%7;2d)dZF1S$;>
zoS8VWA2tx?q&^W@9y**iri~)d9`G%D9y!;@;WUqy2&(9W>fI-fg!lVPmP3}IB}=;x
zhE|_`rSZSZMkkSaS(_bzegW%SCUSrFZKw!8phN{IN&a{u4GNA~Cpqx$BI91g0#(NS
zyAu-XS<jK7rD3U0`JnXr;^cer$S%s`X!K3Fp&wsVI(GOe3)uw2)YxGm$+8O+g-8c2
zBcB@@>`gBUg%!&o;_Fgle+x@g#!_(7EmVK{k7ja|gBegUZLtb1&}&&wZf_`Q1^8+X
z8;h8d<gFCVat_D0dXWO$gGcL^XOi&F=1n>ub^w?QI>32sLwvZ5D-q|Un!028Rsa8E
z>aD|~TD$+@3Az;pq)`NsRurTKkEEa=g3|2>$N<u@2PIS_q$TA@93-WY8cE6F4AM2U
z2n@{tL%e&2^L*dmUtAZn_kFK>_4=%}_r|Jjd1mLEK-d_zzz<pm2op1|EN2c_+GD=1
zjh*=8^0K9ei&X|3QR}f(%LL&`mUK&7C6y(=#Xk=kN=i-|qr%%Brs*oihbJjBIbWKW
z)QT0{{Zn>_<-7Y|%8bCcYp6~Xl|#b1_;mjlLzEypQgY(P&Pu$X)>r)ygAfC0En9n9
zZf=|ztXtj6p2my~mK0iyd#=0vTtk!Qg2MYrtl5WbQ!NkFx)7tXvSv!u7tQb6HBQxT
z#umHY{r+7^5<r?c_-W*(VLdDlb^xWm^3;d9q^p?y(Sc#C<saaSrD%fp6F{Y|>8(=!
zxw_ii=7wqeVFgWDE<%NT-CoavN`K{1MRS9Ac3lm4I7-V-8=PqN=BRnRC39wH2H#Wb
z$m9PECopiA;HfA^rI4d5&fD4e#|`r3cepTU5z_I`x|WsaUOX57VIR@G-Z>|~*Y(t|
z^9PHg1CZc2^O`yw@hw(R3$hA6d>i;;!kKeMRXZd*?r9E{#W|h&i`Ubz9D8PPq`nCD
zSO3rSZ^51djC6Yl4bB+u>$H<iOA1=vTBkQR9^+4#wFZz!a74_uMt1(AG0kmX0z;#h
zOZGmr|6kjT;!JJho|i()FY&>@$1WWcuVX|PB>6Cex-VVZdf3cPt!%gU4tLD^>}gYd
za{~VBjm4<dvABCXN<f;w>CjCV{`hGbxLfPgs&;JlyMmlsik42}qSM^f4M+)%Ry1wA
zj}vOL?WaoE`Rak6L)mc#x^G`$Rn@=K%LjM1p;@hEnZ+BgeMl6e+t&21CFIZ?0qBG5
zx(Lg^{Ct*Vu)i>_6hjMRvWvxml#jwMf4L9r?oE}iJjHO>S^}8{{}7H>9~S1sCViwr
z^9epM_7E<;B|Bt_I{j)pF_T;{HEax6cC^@(f+MVD($O4$E315Ud<3%e>#%)?`l>e1
z_66rUo+mssZN-yP>HVdRY8__ihTPK~P!}VUw;NgC4_k7as=}$MKVR6lfjM1+Tz&iW
ztt4A=V#Eht?k84;j;vpn;{qyqAC4|qW8cV~CdmBuS6qf>fW1mB4`291hB^Bqe@MA#
zvSMY|_7qda+SmhS(0le|Fnz_k+IlHvbSZSxXV;Ec|2BNUOnCO4sXdS@u4`8U5OpWK
z4BPfz9gL7FG225w2DRld{m_6{(<X&iFc@x&Sg#+`!qpeMi)?A4sM)HcQYP2n7qz^v
z1CcTgJ^}dA=<*f!7Z~Ml5j*S<$t?G%tziPTS~SV8@?h#|&UEGIuC38wLzGPa@rrYx
zI-+J6>&fAo^H|0Z#cWh#xej1zGiv<|F)IZrQx+ftWdd5iJbMk0*zym@Z#Lw*vwlfV
zTkUOG{N#E$HAJ%Kx&rPW|1djWkhgEHrLn&kKweb+P%k1>(Te_8t6BH5288b&;*bHt
z$yMub-I8J6W82%7ouBIXD2n+uOp<acb&wBJdCId9QHZHV&0PZ=`!qE@Vw%EaO1zUa
zQ!Ke~bXHA;ikEzDZcH~6x{7Z=mi_;gjNv^`hrpdo#xpOhF5k!TV);*HwYCG}igtI=
zrw+Rp8+w#X!u-XX`id<DCnvbCQK!{;`4Jwk|L<`0ho|zqY**4-8b0oXZ|?9%E5J=u
z55sS!?*LN4b-}5>l}4KcwPN>bjzYG6<ZX(WxGAhUzeZ{oKMIYGVcR+wUq@{pg3VT~
z*z9wgTlxcg1<@XXAp_@4?uHl$0w#Z&SO!$5M2aT95q@miw(I;>>L>c*m_bDAB;=LG
zPUc5q8~EB!*=J@nX&RjMYrg2kY5VQR2A6v~0s+yD>QUn<jbO}^Wp6Mx5yVH0_1U3o
zMvFYUEe(m8a4yYLXTIN?t9Nndu{`ri!zP%sL#?kAG?mO*OUEiqaG_K%U9!yB<nrK5
zn7+fXC`#XPI1`eprT<mQJ!UZuj6fao7_lUE|3kj6{B03H(1%rQyxzMB^tAwUHNy<-
zs#YwO5q~QWW7;Lyx-e20p}OUEd0H~jXR_*YQSFfJtr4aTA#96K6TRa7l*0vUoQkHm
z0`OTa(*=DVmylgIz}I`IL}f;KbP=f?t;`J5fKNj*pjD18>~Z)geD7rTw?<J-@bwH@
z-gi&Wm6jz1F~<arxr=O!I|GsWvG^OnCB*xrnHy<N%Yu`mliG(KlCWxMCWRj4dU_qj
z?s3{mdV%b2ed8Zr9_HHM#nxr{jS3xOiM{aO$1;;bxEQlzmu$(3U=!WLkD>J)n%)(d
zRcSs|`j+i+F|D~@?U7tf4-QlPa&<r5u-{u9z39%NgEhGbH{0XE>H|!$(55%r>nI%+
zhP2dMheBdRLIcra>mrS0*LA+v_E!>H0$aium%><rAS|{49TT-4P4Wg#9|eu7ty{ue
z1VTj6l^%;dcM32}pvf4(ABfycl@Zs~mn=k<q^$qz-<SKW=QFor6PFJ&A|v}K82$jQ
zhMmqx*E~#3QI~G}00?RsP$s3fW?1?Az?9vE)A&$-E!@tbI~Z>&m0Xn*I(~dDz0{?p
zzr+YMxY+yQ!Bi8|_X!m;(_O{D-F1bDf#^B(`lYniUB1hVN7MJd4+MIL-mVK?(exlz
z#0A}(3Ba1&1MmD(e8>2uzRHcjPU&pw^H4>`ZrRoJ8*apRK)lLdzQPqx{49k)o7bAd
zs>1Qp_(!Mm2pqAAO710)o@73)w_xROA-s{4t+j_~LDhjIGZ)b!@7G#5>y&iPIxoqy
z3>)>CaxNvzt!-8bm}P^M3P#Gq8EXiyU~mk*W%TH%r)}igdT+4?!;fd+ukAGm;k(P|
z!m>-i6FY>pc0{-9ZY<rh9pooZa*B`DSMZW-+N;ZTT1^w`De8eWgLVEdTA4OL0y!JB
z#TVS4!!H-gvouevItUBOu1&7L*J4@BUf{4E<56!gAf1Er0hIzy*`P7eeCgN7$?w&}
zNCA@wFn8q`N>S~}iCdOWZrpjlRfN0=q&3;DH!4Ku9np5x%_xnBJ4AxF$I8evI--v`
zuoKIoD3!c4DhH{6$XAYm#!LrOGIncxkP~~BVSey3Cf!tO>(jz54zrk?RZ($?>UX!Y
z<2K_$NNWgX1kWRx(W2#BPjJRYW4B<_*#V`9DdS*546mI$OI@%pnxF{`bl0<+(64q?
zB48HK0A3%M+_`^BZ|Z=_;pK?lT5ScEtV-Huky@gYD1mX?{URJsUOFw9VuG2vxU;Kd
zIcE}hcn7pkS=Dns1jrC{gA2Q!^HHWq*VOA&8jCyB1?_{V5PU1}!yN$SMB<HYu^9R|
zZ;9!C@020%Ae~va>*dSW_NfH?_?YVVEP(-&^-Bt5CO9w(;(}gyHN?5&8uD0C)piRC
zn($R`=uH&xGoyii|H8%wWatL?QZ75DEdS3+O%fpMJv{)4blrdpiBsuHCh<;>?Y)W0
z9R^HYDiA(jhv!4rNYeQ-tO~=Mha&>dzXgoO>Q(BzVoo$%oSpzw`}9^SxaeTnm|Va7
zVIqeLHJVh3#f%tCP4bRuPR~((r<~9++N!4Bt_E48m9jx~9tj}48XCK{RsA%tqZi`e
zteIclaKoaAeA1;TViV)%5>OO-*>TI~#|KufYQW3OQuSN57)$?FJDs1O-~|}|<7js9
zDxJ!WI^{<T2Mks(o}4^MxXo3z5<y+c1X9d661Xj(tKYq8Z4#vaOph&Tyw#KCdO(>p
z)m!0(mmJ6>lFA5x+)}QLUh;5X@c&vd`pMi<4&|u{3KFg6QH<@&So@P>1~yq@^%iHp
zpb&^V$`%I?jYyGJi}RFp44FE;g01?Mhl9ewE`c8^{UIwcpvIyqZma&xiOUjiIMa9w
zP~(m8)5+b_ye}`kzX-BN3u_`3gCe??t-Pkgz?SdkLZ;X3KNMRXt9svUD2q~#M6*-N
zfn31Km97VLt#|XjULfSQ^@T3no^g-^0F4BwJCxuv&LZ{@Tr0Lc1XQi2IP)e7UHqo=
zIi$~%6E8_y?l^Nm1?34jqS%KaSQ^+gz|ko{0qqM0j`m;!om%ekYnegcuX#6V%U=SE
z9drYZ$(wXC)*(>RDij&;sH?sIo><_bQBQE+3wz_xyA2;UmqtC;0Lak43xU~pcUp+g
z3GC>G>=nG|U?hpy;W0?slVbMqa^eFPz0O;OTR|=hS?CWH+?l~S%#0_T;MRf&XAVtt
zpzKCU;Smg*j#r^lroB)`bcMV(I@E_IIxK+R(((bPq6%9LvyW54!3q05SfB**@D5!E
z&9gpV@=Yn=`oxz-+0W7oP?i#@Ysx>o`%kEEZC6pecLzzqupu{NPzq>yoLrZ}Se-M3
z4d&#xObqG@KDZ*H6Y{@K|1R82LqRI_m24m^AWmkXS9x?hP7A*2+ViIy#fJL??Gpvn
zqrDA$-e_#uQvTBCR|d6d$$Ixm>jNRT`@sz+(U-D+tf>btqc_ndhrbCqg=?>@y7>#|
z5T8HEBr|Q~W#`*UKwm-~KJxa-GuJR&V{A?XZ?_#u;u1)ERxDd#AF4_~`AcTrXQ<`D
zUuD(>%g$JtEJkqbs#^~yZRHfXmWde~8f#>`inTga#2#&iKV(7!d~(41oiBahO0%_;
z=wB7w>*3K8nTe8jQeKtA&;z9b>I)~CnNaS;-D#$AS;j$aGSkI4dQimYH`3kv{*~~K
zIWbTL@6TT}t1U9qWlQRI;|aO$J6fG?CJ{dVc~GB)q@gMO?WX7kaE2_UJCGB}yiv3|
z+MzWt(Zl@-$N|L|DOB`;#bennc5uO6gdM5x*EyZBqbNlVc|sMNVD~6_XJhc<(_>2%
z=!IZQ5FRuPCxENG@=X;C6#v?e!DtMz?ltTZKK$Y(q_|MQt-xQKf5;)=ZS@sORzyxo
zC}9{5LL;zMDhui(aYPIc4*Y~A4)9iG-C)J4n{tH*=75xbQOmz-jF4nkU{CDsbe%ck
zNg$S_QEmP%EaS>`<({V`+gtKY@S*eRD~uVZY{?HeAFeM;V|nnR<%j;k3gPyiq*b~u
z#-Xk*_&vucnLU<hx4?F`9^v;CW|Vl0Qpqb&NP{atGNF0^^fm#TO9N(xRL+zZG7Kx=
z-JJGbnXuJ3quW2QD%ovALNs~voW(`T_to*}#{-?9N6|X3+M+3G6_a+~kN-u{Pz*lg
z^hdv#251kDog~=RO=}fBL2WK@er@02Z1=Vn<u8RJxn`{onLPMo+A42fHaU+{_RFA#
zd<V>>X>CA<?dFNMj$F2TCakU~Q4r5B{U8%mAVKLM7(PJ|-H5KR7;CkDMv9=<zHKj{
z=L_9s3w^GMQh%qO@YfQ)xj;b^S~zJw$ozz)ciHdk>nSH#aTwHe%%amYouYBpq$Pw8
zM%Pj;Ly{LiqSI)syNy)!+XD%C)(2sKY(so&-!I#d_7u5k;a&q@rJjJKnW&GCqW^kI
z+*Pjy<3{$sbMLiEo!n|IUPvazf&KZ@Hcu8mqM(%o;6Iai*X%Rt?nuO(eYii&Oo!7M
zIKR(@qxk$d=NMDAQV<q|APENad#iUY+?t{k<rPs8U4Q|bTCNA<T$<C4_MEPKJ^%UB
z+n{txU=~ypaBkWF#(gEkvrpRi&f;G61}PF9S7esDTo$&z!UcLBbbo`#rhbi<4rJ<&
zH^RSRexf}MR{Wsn!}`$HG+n7{yg2eiow!uKqNQHWO}aVP^Ts68Uy}{r&G2R>5`b{i
z+A+&71Bvtx2je8`5^=4kn9%PoZd!9|dWQekV9&EZric_p9)C*F7cPe??>#?w3I>FC
z4cT$fx4g-qClk~%`jCVoo{UzOx9@4~4NA*&e+0G2v#%#%yc^UXtGoEou|Mh+Lg<L@
zT`ROXctfmvyAB$hr%VUN=7K8K4ILeZrx|<Q!5{9&4T+#dyLNN;+<pH9?5zekg0+HK
zVA`@q`O@)|fC~~n?kwygq)lz7z!O@=nPdL>c5LduLoPG+p58n7JTTo7&WBOzS@2vJ
zP1n@`#ZzM+!$#)HTswFVAYOOEC8gxugk>TCtSFuGEr4<1Z_?i3{bmv!RY!0z%Eu|g
z@LJ%&tNbO>UVp4XuDDV*(sQe&SS*@h>+$B(mT;up1_8}8dh81EW+sw+Q`lgVe|8*g
zLHB}D2c*2LYoPR%tt31YPn|17H9_KTet6hN3pBqU7vkaZ0-D)R5m@n+`{Rc*Z}~>j
zu#dYFHZ+llJ5$hZk2_;J2d{3d@VEY%D-3{!6u<dXjXsEGI5Z%wgZRKDsW1Wcf<*)q
zU>GArIgbgQ7=;((z<1Iy9y)^x{#^yk2a|}p!g1r1eMPF0KYU3CNl9)WVDd&?-mu4s
zqNPWN0S25ec1PM9ntr899;Cq9bNMk=|I|J<K>iavOHNk2gK4CyG5W`U-tbUr3e23e
zv!Pxd6*^#!EG7{g(=bh6{ex0JG1F5*7o$r_BdfmBr%csNIYGbZN=i(!>DmpoNnG?~
zP3c~+@sD<_eRZR7Eig^T@gwgwJ?7S>nHB<LfD1@ntjq~Hnc+-oER{rRKVv$VyNK<q
zxDBOuPXef*0)Wm)oU+su6+n1=F#78Non2T)o9KcMEHuEt4M}{_y7-|IMZALc=a|6l
z+u_pDtZ(FUL9am*LCV@!Hj$5tCnIk$B&tXalIn<9K_lrQ7+wJdK&xP)!R$;{g)Jxy
z1Ov5%9?D<SCGpwh4x>%t4WWCQ#obB_z$^M1;XsNB$th;J%LS{im)1G!J;@Gr{|2~@
z28<8W)g7z?;X+-^zN5|TfYHdSLqHrpE?!sStKsqC*jG`7?h9_b7BH&@iITdWMwb<n
zI46!gN!%(o>WFES1mEqO_;NL{Fbu?NeS|B#m=@1Mo?`xmG~Qk>sW`lL6Kr1rXNcy;
z&GN2g^fW@4x*GldK%NDIK(RCkZOT}H&S7nmFJWuhZfG#6j~dDb*7#4sw6+)Rsg%J-
z(bL=LM>RfPu1tioTbF{y7%6J38;<S9x_{^&oeMNTfRpdW@|RH0PrOJB{ra!T_{`J*
z6RvJ_SP+|r?|?~CIoP>mTz(+nA-lm+>a?E(TBD4a7bvI=h5g?H3yuX$A+w|qXf=K~
z)$t-7mSjr<y##bM2FW*rg{u~)i1>od^Oci-JgnIishfNI$2zh$2lP=kLjukr%-`Ma
zk`%#D`iWr|$?ZrctuxQ$Anx3MUeie2j?ocr8Efni?GsI!bAelAkVF{iLAI^-NNj%m
z^z<YHpKtC_VI{3ejFXu<dh$#!@>Kwa8Ze=X<jNssL3Jvr@|in5T&M@7&K~QwmACII
zDvO8H#JTdN-8vJeJ;_ZW%xVIFx7+2~wAxD8&eDI(KFIDVP5r86;Vj=HG!rxVJ{Xa&
z_Hj77dL&Rjq?q-Q>udVVUL^*SuH2%SXwd@GIk;t#A1(AE@Q1_d$rE3ajQ#7AK@|Q>
z2?v`=f3eBce^hZ-5qH?KYI2F&eQgWwW=V^7>%9q-xK{Uu{~YIwekm;Y{GS$9^`gFL
zUL5U;^}!G?<KZX0Mdl8OVOf_ts7!ZF&Prf^JgG9^+_upvo|rlw{R#&JdU`WF(c3Fd
z9P9IDZIf#xRzJQ%E<tR^{<_J(Oc&#=R-Xm#9=hOObLpA)o|1zyj+e|kErZB29wH+1
z)O)~`Vz=~f4f#(o-P3(zoKy^|61c|h|IYK1e4de^G|_5L;MW+1*w4v-1aLv4hBN4(
zrwdy9Bew9TX(ZV_5ImDzVK>ujq`{NrkbEVkd+G9g$?;(JQPvw6Ju05wBd*H5FHiP*
zHsnM?#%lrF8DiN&%v|3Lc$9>rgDL_ttUhkfqIjg%!tfYl9(YgJb^R7>WMK4xK6MhY
zbqUwP%+UAj|6N1qR{A4}aLX3|DsNz_w#F=Kh5uJfL?EGlBDs2S2+U=)Vt=)r9pjgo
zgpkX{3}&fxU77R`B(itoNLgLB^b+<di@q)xf`O{ywUdCsV3x(iOqHg_DmQfrT*euY
z@P8KzFAj7Tz8T6`wqsk&m}V$aAo6a5kY;&#m!8}aKDgL`w5Jf~nJ_S)YTb!b(drU_
zf)gRgLTe7xqBW$&x6^LYRoU-)&osupQ()nh^lBKO7LD?AVlCzO{?d-}7XhsP6v0i%
z3CRPKGY-d-LYpV@Bnpqo>!TL3Pavs&<lLfH4Hvn5%=SC;yrwDLZT(MX4*qtRo-!Ga
zNzx15_`48G8_D&@ER}Th2hSO=G@#rh>hYc>3iS`KrSaMx4X^;s1;J_`HV2I@13ihF
zl6s(}-Adx4OZO=2k{GEf)_9{@jq*3JMW?f?GmNq{g)`$hNB$G3dpMEB?|8-Xv{5Y!
zsj`tN5aNOARGs@-44PJ?dE26yy?6zF6=be7y0EZ}GVx`h8!pbn{wxtSNN1>FE?SeO
zYA*?6>2pcqWrVW*HEU+i6Jjz~QwukY_%H10<;Gu91Bu%mMwNIDV(u)ZO-c{#pIU&d
zeEFmS^1j0%A-#X6fG*N~*{*qPti8b|$(Ip&830|G6e$M!1O>Xx;T1EKQl*-eHZs=W
zX8(|x@gH+TNX*@9$n=)zsci6FKf)V*Y9gmORPRLW+e;a_ZU=D4d1Ma@Jg|~nx$ZpO
zcwEPI+xc45yp3R_C1LvXXg)e%J~s&_bL(nb2@u%%zB3N<G|_b%c&9%hPuLsJRA#}6
zyWV;6Cw01hCcN@PgH4;Oe$7hp(jN6bntJgz_+ip8W9Gd>jS+#`EoxckkqzN1Rp+$~
zj08fop1MtiF;*UP<<6W_^9krnyR*)@?5T-0u|@|n&<oU4$oYeG(V~V!S?>EW#<u5=
zzw}Q;3~)kCDt_|=d!u<99S2K1JXd)GUlB8Imjo;b+<bAMkZ<zAd9=)5zsXSV(>FWC
zQ*$=8Wa^%k@+?7wAkPK0jnmpM-GNscAX=O{x*}J=_|R2kN@&g4Y7V_g@C#Z>$CUYd
z)1q3KGrK-qiraf(*a>HLwjD0sX}J^5b31f-fQ#C?5>#{`R>m!IT3lCsb+sHbMbXnY
z9U*<P_@|)6!k~yG#O)l8Ie*&^;$*dZSn>$lKUU*5R~@_!`5)M-aNh@n2y!Br!<&c8
zySzsBsGd(wHuUE3QT09O-sCDhDyWPMT=qpz=PqCeOJ_aal;R%Q{~zEAoFT4GN28jt
zVFO`|Tveegxsc($PdAqeKUzc!YVF?0(LLrwy&OlY(VQq=)xz@YfH{s&%hV4qSn0Ll
zllHNWsO>JIB;9|BGTaVTqi1aHIe6|$0~N@Yb0LfFwZ9q(+eRI#Zcm<!!gOStDQ|t?
zf}4366bI=5$4+1$GFCA74k>%Q|E)U;5~bbkrog?C+A#h~qR(jP?%P{Yfr3)v1<qmi
zsVf#>t`jRrd*&rmz!!B|GuG#QQA;(G|5RGVXPapz@xAU$FW-pRhxLy-W(LY3^^KL<
zM`&2oYW6@TOE^?lgX9@ee`q}f`Hy|hZrZhw?Xtc^4(f$2)Xt{U(LX$(-e&+9)=CPe
z9P+-+=Gq0i$cwyJ<5kQbF4vNPF$tCP@^yV5MyX6iDF(o5mRX6Blo)bSGfy(>uKiaK
zzCojiEQjDnrH>#Br=6g|@2We#^i~*FcUqcqQBwv0e-&(}SrE;uKF#jUOEnwJyM<(s
z=vVp~Loy-raQvFTEW!oGHve+x3T{eTQg+ZqHIllB6qsZEY{`N7SMAX?E3YS`bmK3_
z>U#hGys?AgKe4Ez$?o(YLml}`YzYyY?Lm4m^fk68067KXJPT6ylOQrl1)){fT|m4l
zn-5Bea8UKR`(zYECU*Tp$!_`mS%AD=5CyeJPMq`Dm{|W>@hQQm3XP4djGp!}sO5ec
zK4g$iPbyOd&uSsWW06})-JPBZ1D$6Q{oRq3C+%(Z;@?*{0Me>5Z_ifch1w_s{{9JG
zZ{nMjIM1B+UAwab*3AEfwtl+sRIXl4{u4-7a%!S2wR2Pc-lnnMoB4m-r{T95>_`?B
zn~nc(wS&pE;UB(j4XHBqf15FpWHT17Z^0mKmq5Y^cEw2HNGbO5Cvv3wS3nhORxIRV
zl(Mj0U9z^s4W{sC2vRK7*%gnh7u;BwL7TdiY%ah*MT+@JednRvKyjL$!=C^vgJ)3$
zbXhOR1^G*}ZclS4BE5fA>VjMVy%gC=-?u=KK*jL_87@`%Pa?vq*X-t|DVNrNTaqzK
z1IshIYq}Rz<>U$!8OKF){AtmDyWgt)mKis{RV`e-TTa4S1@o!S)-w}nstddYR3z@b
zEdRst_GWn(o5^?5wJ>~+>0zB3dGG17RSO|mcZ^*MCJJw6>N$YHgLt8ckwx#?uy9=q
z*<Qj>WHy}h9Nh$?&=%OtZP0E3t!f1G>PFnsLuKdPpnaUj@d|0SK<jHL`Qnd*W)fl7
z!51@2q(H4-g2_qgaqh{3M{**v;b%w#;_X?;m6lfRS#Vu<E}1Bvx%gk&<&ojL;ND3Z
z(f}3U-Wid}-Qa6>w7bFf;G?VQx<8j(EytVgJY%H+5w|u|;;<#@+Q*{g{NajFQ=L+U
zu`*31K+1&c{>7k(@n2B+qukNWr@ns!$K+zE@&*Z)k-2PxA~#bCCSLvt=%UV;f_L90
zcw_{~U-BlS+*p?Xu9HxpP5x+fyXC!tXf>B6SR)7~=~12G*D@hzG=5lgmo5ZF9tIJ+
zZXCx&yaQ-J+!ZFikT?RSqH1K(gqb_Re#PiH3`&Co2npg~k$k%N^Z<rK6>iBC`qcbK
z-LW-Uw?`f*(8@`H{_P^y_3D+Lytt>v_Ur+Y&7HMf;;Je{5=t6-NbU+@OGPW=yR#zy
z1aFW;GyUoY<NyWK{g2s~$jR`NBHC6`2_RZs_na!E7IDW5y_b5ZVjN3flX@1j!&1oN
zv%clR8**IUWsAI<P`?^U-@Smm2__=bitN21<gu)lJ>p>l*e?e)xJl;24lLW6-4^HQ
z#B6n*S}jfYJWR`teLT()@Y$QmlUuK!)s%b`E0Y1{GdbxgU@=j3x_tpG(May#v;)lN
zL3a=i^?o4c;zBGxY_~;R@4GBSyql&gLZMa`(LVcx>C>^GOViZ7?ruJ=<s9wU_AjFJ
z$kSz(GC%B-TJy8iuMg#KET%GnJv|{YCHv$?&IchNYNc2q{xbcw1iinr+-?V7j?WNm
z?M3UwHjBOI5kBXISz0QH=2>1Ktw;nh(Ah7gJNT}(TvCp>h7Yz+C8`*URJSzvn4bQ}
zYcR<d3R@{rL4n@|(`s?M(0p6FEs}*#SP*k=RQubG;I~(@GK%*#qjIy5Vk)M9l7DuR
zxE80Y4T#c@{ga|6B-WSUx_YVz7M)1DC!>@K1@rGnFo7VW5FF2WYQxal{OuK6G=F@?
z-xv6V+pj~TW^W44+*MP2pF7VHbTp^cQfH!t-S@PIHZL#uIhSCi`o#hNf3BqW^u@Vv
zPtX>nAM>e`&i~7jYU0+3Y-Kg(vq>7I%z3&%K(MLYLo_}^IMG4c^N+Q9ld2ZB6*&#Q
z$!owpfFp6*uy*pREq`CnbyF)u(kFKC!%e1Nld9RFd{CyOVRonopujg<QMkn-)>Q3Y
z_y2fVf}5mEs2rCZO;wXf@1XKA#qUFcC|JwlIYV4Y;B@R`_?vf}r)o<QHf5=T`Nxo7
zV0W!`GNhG1R1m=e&gLwP+y@7;{!hnjakc{7>5E~mJzI_5U|pU3pJD=F*%1k7Z83bS
zNigVu-Xe&2@v7R1hB$^H?Ljams}d?#WF}cfz{(}*g;m~S$WUOY7oo2Sr=!j-mS>ST
z5Z<3~yY+z#o_&o26Vp^ni&G=D{Rrjp(0#5HebXDyx2r4xxOAG@H|yJu;sF8u?K})|
z!YX$W1j7poOgTWS%=xOlvBt+QE{kyA6PtYC)?wRHp{<3jxwUJLZhX1`-Txh!FkVT*
zYh({EAsyKQYR_dT@xqp^3);qmA#K|OssYP7$mJ#LQ3CNakOU>i9?mim+=LMjPN#j&
zRm-YZy$Xk7CjCE(v4Js)s?9U4*!Zt5>b6(3W}d470o<|SK7$1rJnadfzUCzB3lHdl
zj5Az<KRqn>VFrQ1T60+?7+xO}8guM#_MQ2Ob7+DiY*cbo9W`ry{Ir3jXZc=uBwy3X
z`$WSgWo!h;Eep>-eESP22tnx>8Q#D0cNhfqA5Anws0kQczjcm|7#HuLHlfQvI46G_
zh}tQ;s%1Nw#5GfE*uC4n_s6AW)?G|_!eovD+%-$%WDmm&nR!#|KOIWH{*Rk8**U0O
zLh_ZUiAC<5zyC?IJ67RoxdZjbwGg?8>{o&pgwDlks(ob1{4(OpoV71i8l0He_tBz4
z5K-v=5-N2|yn{G%g<y=}_?_6K^ed^26UqWG=TU!!ZLr83`$x`^vz$L5G+^)I6vWJ}
zzBK=-HQf+_Q#;>B$#i+k>8&W@&RX8&VZ}6(PI^ietlBTg^X0lcxHH1n!X@X?8T}pO
z(Gu})Gmyf9o}143^#+euD6m)=QN2@JWjA~xxCsNhq3q{%fYwiWmZ^R0@HHpkgrnI%
zxQ&7iEpM|=mpSWSk>Mq|GOW^G<s!*1NDU*ZGQ?}wU6biW^~tKuT|%F$DDsVG2~u<1
z>`wDMEb=ePudaO}dBR(iMX>Zca_@bI_NS=_zi9P4u<>LE5lQPfQOb%+G)(<^q&rP-
zc9+3*vFGY($#}VFiI~)OsY)oYKg?pGXLbJLgL^^RSsS<dOm>JCO|n`BNu(B#ABdx=
zN-ONdgHh#**~6BNbp810zKhIZ^Zi@p*jJi*`rQI*OIJ63nBOWfBYO$gMWnGsN_a!*
z+yj{{{$OU7J83^Je7@AI|J-u>U%KP1+Hv}MkG61wk!`_tRpM?Y@WzKLxQQ|fCIlB&
zbGCP1el#{T&m2)uQB@t=N(^r5K9oIAPYEfm|MG5+D~NXHI@an4dM}sN_g3pVvYoMM
z_Uo>pNvV~BW15?6UizMBioSX8;??1EbijSFlNgpM#-7e0&kNFx(Q5AWO(x#R>cL;~
z##f7^XOf(X`H>320P`;yOQparfXS$J2Xp;`di6M>H1O7j3X4TtpsOJ&jz;Xu<NCPF
zDIcp{x2szDLqc!CWUceh9~TAorRytLh_86=k~jE?KfBYtR$=~w)UEP;rJ9YZv37E)
zF$lW%J+|g1)&pa&@HYsHSk(^Y*8L>NJ&C`ITuzl-Qh}tSutY<6DKAQGS?ZY{<3h<m
z@zg-oT01jK%K-(Rg6(dHvW%qG$iJn00`;kytigj7m22bOV~vm_>Q~&_+p!_w-6dvQ
z9uNoRV@hm#Nc6cmwcpR@-)V5Z-MoqpM8ozb4~lr_{&JWq{eY&XSruxnF8^Y!l9D8-
zn>umN08nJANzR>|^ezC0g_CZ+G?`jI__J(S@+rKL&O{9d1~yvoy7-ejO0u7_k+2Yq
zbft+czh<mZ8G@eQ4!VJqG}};>j08iSP0_)4Fu@h>mAx>}(zU*}N4?kG6^*U}3Ifj(
z(*|9z8Pv9sSy8ksuD>$={Lb#U(IIdm>nP!CiSN_HsUR%3IWM~k+!lv^&wEGv?H)sE
zUA}vNb&-puT7BA2Lz%1eCiOlV_+<~Y@pDr{{;jJvEv6`-s0?q}UqA0kqvUmRY%}?z
z|Ddk|i==au2)IVrVGHt`g9#<vhA&~g<|3Xy4Pb^07fv&K1+k$F0`53wcmX=amefeu
z{y<}(!DCPXR0XQbA%<l;P3vnP<sH~J{9kmt@oWA4E4HA**wy=A1{#k6_f^!I?5=IB
zW=h8~&0AvZN$Pjz5Q?AJimOSgD}6!#iwFu69o6k$Ed`#OmNT0@-VAytgYmxB@Xxd;
zEu;9o^Dt3=it%o`9N_f9c$ml6C{~>!f68%aY@e|M<4JhpOX$WgCw5l>_rJyj8;cc}
zip$He(S8(V1qI&4eoF;;7}a~c4@x%Y1u}JF+lxenpgLW<{T2-_bIoRTsYE{RXnniT
zd=>&!3VE9OzrMBw&CJ2-6v2AA|8!h{<V#@_Gs-~5@kQ~xpoZd%y5=hv*M$`yP^kTr
zmRc{HgQP>`ZbTqVw?DmidG8+teWf<&CQs*WT+i3s$s({7XYpi{9(P4>)7~F1xS2Cb
z*a4@rxzcL?q?cqU!@r3h@WyFdhHUtb4X3FySPCp3U3AG)nOM488k^mNH$(-NbqSdq
zhW`Ov=4?hh(%Q#PFc)vDr!izfo9PAaTgirK2pnjic7ScDSi!+=9{ilq+g<AW^bgwJ
z6KuIvr|>?SegavCeZ-xOff#d9#8^XJ*ZxhclTX=;>Hgh+{g}o)N-ltHunyuO6P2QI
z!}efhJJe@wRy;oT%i9?)f2LsZi@ft6xT^I2ty(NUS`B;JQpTjkIZlS_8b&Y1@y`Qy
zOf}F-%1oWV3b7Btffb3+ZBgJW*u?;Ie8GvC;+b!b-T{iyivx{@1iAEq>(s~U6KY9p
z0??~KLIfYxl%DB$T^2&(TSYR<6s4J_p;^0Ru}W0AUY+;D;VW8m?HA*$jLEIq-KshZ
zm@Zg}@R~H%o^D^&w>ucGbB3Sri5<I~c98ZHWDHT5xTUBqpa7Am57KOp?sOU5cQkTk
z?W5p-w*a~KR@O1cBRt?tGlWF|4ea>X^-~-1*0@9Nyc~OBah;%!PkDhK6T#5V2cZ)T
zs9&tq#I~|@wWUi^3ppm#S+`9s1;*EjgSlj(2fi2m%l+0A^Y~XDWpbmLRA=1MY`(di
zQ{%eO!J|UWzvWfjFq3>Yv+-fQ7iJ&ys~Z-WlBZ34!OZafO8`)@6tr3|B-#)>=oHO|
zJyVJ0A7$Q<hhnSgtfwivL@4ldz+`er&Ghz(+c92LYp(BVNvIA$mt;YobZmYQgpGCj
zHPsD)n#30jebl2u2?yt)iqJ2g?_a2RS>ho^(q1ft13Aq9t_jZH+GKZp*xtZfU7-ly
zRD;9<KJ-my9=uLNy5rmRMJ_iAhI#eJQ|N2=+S~kh*SnYVROkX&QDJ?S+Yu{zxwnK`
zIlzSFj?AhVwT#-)CC79x<7!XJ6JC_TrtHyHn5^62;m*SmFkm9r7&ZDE7g^1`Cwrh6
zqxFE@9q8Mcf@RJ)S7dKW3-oy;ZBq??ehc6feO@<X3r1>DmlcZ|P)(e4YaDuK1f|EN
zFBRvH7=y!PTB<N<qQdTbt!06K%(d4B>nye|zcmNEU4wJDR!o~InPJ0_)X)0_<jLV-
zJJ{v{bs+xEL`MO~NnF*f(<!G^Vcya3?Y@El)fa$gdx;@UH*LV{A_bMZ<0+SchnK@-
zk&CgflDxO`llp_^bl>XG2Bb25c6s3Y!JsNWd;jYp+rOI<&lMAYie3|}2IJ^*WAj${
z(K@P6WwOAO7>fb_6%Jn)Y+Wx~@0<93`JR=xVRZE3@EwvR4LG{*pRb#xyr-8NOpV=>
zjXBO(6T)TkkH5=g|D=u^=m%(J4Di&g5F~S5W>euTK}d^Ld-d9B8(%r$u>!l=@2<`u
z_Cg;)amz-PfcdBVfX{sprCRyNuk`*jeK7cTa4q5wjm%;X2C|g-k>SMsp^=VZ+?|yj
z1zKzAU_O{WobvO>hu6bDtG}%ft3_q|aDUVZ9!FhX*1!#`n`i+vl8(FiO@&U3;^GQV
z8|<V78b6{jTFjB-v=ywrqWX$Aq7xIB2!Dn-wJXvNC2Y)8KUlumXL%^N!N1{(7D=nz
z*u49xU<!<b<vyECzvZI9sfD`B8>Tk<ECWK4+RRG@{HsB-()G&e;l#2a45W#_wR*c1
zD!i34>|C&w#}8<+YGz$AMrccB)dq-WBWh}F<S#VQBv~ZmQPWr0k<q)0u9%8MhAL9E
zjr~a<C<_jtmVxiLcZDxONn@>DtE1)KAHV@g#)1fT^_iPb?Qc2Papaz$WO^A&iQ>pr
z2Ope`)m=Zy;_!uT+~1e__a|2^sGU`)pLsKF%Sr(P&LgEW6D-Zl5StI{$qL?hV-3Ft
zvDpnSBc;}+G}d&;wX{1PeVog?nz4^1y-A(C!5oBlEjO2S=3lF{RUM2Q-!x`|y$zVE
zG~Q0@b%T{uU`sC*d7uFiKn5EhC-wEY-;q(n#uiln$mvCAF5r(v3x6`n^zs#U0b~D7
zjUqV6D8W}9b%}8QGzJhElbmEWOLm%I>MomHGuC~*Q8sb&Kg2_ijNW|J>ETO}PgSDM
zbC(TaE*EaltzoY!qOf^3y&Jnlu1OTR3&?OEqZ0W>&(U;!5f2}~Na*Yj7N*`m81+q7
zVA7)^9K<Y;bNwZTWPfc&hEoP}@}0u{p>lHKVe0(c@d;O2fsl*Q^YWBdkBVQMO(t+^
z{CDNZMPw$^1%5p9D*dXSYf_ckmR`*c_-eq&<pv!K3O9!#S9-BYxk8;pvT2H((eep<
z5jo9g1K6fK5mJtuG-b4wMT#LgoHJ7<F>5a!&A-!Ikjb$)J8SoLdiJtiuKG0yZHOcP
z6mw_-y2^drL;%NIezYcyUeGYk_~J=t=5^0Eyq>fTLgpq3VS1dD&Vvrh_8k>qELDMT
zvLa8IXfR3R?fFPjdQ$F34LCQ6hy!@>{)3A(tC#_t|I{yEmQ#4fv1`qIjKHxMX)P@{
zxyza_5$<K@J6@;Acyt9E0V--=t93NYa<i`Gd>J;Bj$H11=tmu+8X#LJUryxS+$cO|
zph;?8AR3k@43zC<VRA{w$-Ya5mhvUm@gW;>A>u4R1WO~NJ1D`a|4NRoS(<+po5U3J
zK1GNaKksnMLDQ;q=j!S+m<0`w=zz@4N}7_;zV()?>nj*<GK}^$lMEPr51|R5pM8V2
zFWu=@%2+b!3ON?2FEn#CqYee%2Wc;x@wy$e8u<1_>>ASXVrw2hH?^U%xv3tZcybfy
z`~p6RN+t~|P3Bm&{VBUp16!hHy?3c%Q%l44Ju-r-szJZ;zK~ZSh*Np1XKK!yvR5I9
z(fU&Bl0Z-Rk}_3MV14vBYvHN-X(M^u#h~F#IV78@y^VYm!G^T(QWrC1y=$<EsT-*F
zCWz+7@pgS@wK&1Vm98q&@KJg}9nrs-2mFKf#CRUGya@!j$W;9xcb^f@LF}}rw>VTR
z$$yU*eD_(#>HP(K`ct%`GL2o`Qqm-omMB7xP(Fig`Z__NC&H*9bvX6Zm87>KP(C0p
ztMYNJzlaVktKaHF%kNCHU4>g-CI{^eMCIv=AkCqVWyyO9*pP9*=dUOy2yY&u<XF|z
z{Y39+Dl;y*=1(a-p{;?7o!)7c%w3p=mu@9YX0rP&gY%6bxOn{xT)g+2u0}sxj<VSr
z?Xg^hm7RH=>bE|95kN{B(WXeAGPR!eEgoJo^U}s!SG7!%fPc_!36t$X-IlALMi-h=
zCbMc9Y&!F^gfOY}i$%ur<l<YEPOtt`c%h<l14yjofAG8Y8T_sp;=+=*^v5(fPvGcE
zn(=Cbs}sDnh5!D@9#WF=3irXCx3aJ}K;S8D5)U-lfHZd*d;bhj7C2XR_b26qFOxPq
zI6|{G={<cM+`+F%QB>#eN<1z1UUG9cvTyDH^1dqg)0m=uHmb8A1^7d*-o0?|_1uSz
z@2IH0Yf<AgLO(oLhrM5g+~fXqmwKYZ?Y>+4rKcAz{D#o}9rEZg8*PE9T_m77gfEs~
z=UZYkGS4q6D5#6uStlM$=uduMn()Xp9Ymz$=_xI(!gLQQLM&ke!B^4ve7&RW=}MkP
z5{D2!b;$!1Zykr!Oy~>sF%gz;=z+1ZTKde8wk33Pb;ZzWV5-$txPW3jn_~|BtnG3Q
z`M!!|GVXc~P=d3RK=I)dO+UggjDa6mOxKC{%KmDOeOs^M1@h<}BHlC769Telyx5a3
zbZswKiT9;NbpxyN(FL;r<q+S8J~s0uWX1k!*G!tvh{3GVZWf`Hq>z%%W`p%neo9Jk
zG(7!7acvtw(Rl0o@LBhamei~VuD4x59U!{lhSa!OYJP9#5P$640YDM<5O4pO!sG_)
zY!(Ys@C0E7-o&#)Zk;0(rDsU^_{bNQV(oWMd(__zU<$mjO-vSz*^w{}0Y*@*r*@d2
zUMk|7lu}WGZ-uKWa>!kfqZr{;8&cj>(U9dO>18Z=`?~<!G2On=*!m|5LuQzR<G3|C
zilvG=>VYXFBLcbk1wj>1&rTHt<HK7q?&=7s&!`$096zL?R!>V9Q}bN%6geR%PS&oF
zoy0S1(&_VyGa}KFWsDh;<IT=A<yj;E@^@G%b18GkKo;>7DqHE>E0NsDcY*mq`EZK>
zAO-&LzUOdz(D}V8)9eeJrGU3&08W;rs=}RYcrp@XNxd)+`70V84e!Qg>3D^o46Ea1
zGET?8u21brN-rp0Ym`_^a$kkw5LOpksmnTyVpN!B>jb=o#p)$?%|}jh$R4r9hAbXU
ziBAlhn%8=QrKsur0kz_?mUY|}z!^9yb*w6fHdhNwQ6Cr~??#@N*4fjHZkw(Elt>IS
z$U7tC8kLE=s&;Y5m(NH!gutMIze-3Qe{o1N&qh{w{yzuUu*Oxl8y760GmmPl9;A=#
zX}eLdk{?f~pp+sBuHuva8U<_A>sfA-Evz%}@$q%GYk?fi+Bl}<eR`ki+&**ve>-Mo
zSp~d#OBFWUOtzeUnlth3KQ&rvz^Z4Gq$a2}1|!n~!(rE~=2H2+FSH(G1$UQNS25WX
z{%%+2pENfMYe>b=M7V}!@U{F>3HOl*d6VTsD|Re$p#;^&tcJNjqW}%;KOF&R+QCM+
zpw^3z<dq?}c_?RA<DW-U;*43=QN;?l*G4R1hC;cFN`dHVT>0?bnWBeg5N^iWJIGDO
z7}JclLxtZWQ7@fI8kPNwY>ZGAW>L&@=9S=G7TAT{9~a{WwqGb2T45Vw{OQ<K+BaTQ
z54)XYqA<;lr(9IP6r~$eh_PzGUu*^cnHxP>k7!Z-)P+zlNG`l1R~&-*%VdiNDT!o$
zr2>JUQor9eFyOW7Y+#WH4JG6(DaBch%{)w_oe?qdX5VpkR%zVkgR-^!rJ;^DM^8O%
zkuIH&EXAvoKiwpgDNWV`TGU@jaAN?if`_F#sGmHvx_yBe_B}YTeC^fmar)*DTe?0&
z&~SA#I`#&rJ5lYZiKSW+laje5yuWjPALr5%vE7{6oZ#L3#S!94=>TyJ&!@NQTqynR
zaNjQX4AH$rmb?AAsZ)*(j{a1p-B&*<;Gd<qnw@diXcThq`E5R>0WhkoVWpC-(`r8A
z$lD?LXvjl|klG0ER%S@VDHGeYe7zJ#0y6!k`(+5@lIjt?l`L)!`EMPr**{#C>;dz6
zgh*X@&OetR`0lFpW~}$!3EKArh)OVMc^76=oUI2v1gPF-q8O{2JLr*}5ubgarPLb^
zR>`!4Snm>m@`O_2J6*Fci(W`)(|XTHY{kWAwPmS{T)E$rhkN5~R0@ns=2pwatHDj~
zN0ODqPpHD;RI!nU12u86bfa(81ch0H9qR-u@tZM5=-ix#22o|6(9Ab6SvUPs`E{Lm
z-fEc=0X05hWSji;Oqcxxx-Tb|&baPhRp}uJAh@=^B;5QxRw0Qgo_=SR+}vuzPDwT5
zTfMte>_d0RYkhL066u)?y4CR{t`!KVX6;kIN}6L`(Xr;7gq7vXgKpGAPvTu@a|~oy
zvD>qishPwd(~wjYw^@bx+GbJ)e3Jp^HbPunbR*~n>-WwdsBO}(BZ8s?T?}Ee6To-A
zTF;J{2#wfoj8K^Q+qN~DgHQ8Y<-zRIF)CqP#;f`tvX<Y1YSV&a08LM(FVM@M1LPp>
zUeMRC(&#p7^kKLm;*$snUj-fV>=g1%?EbxsmQdweC8|c!Q+`ffW0Q3~>B)F_q=UPY
zyq{mF=g(SxI5P@_T}`!`94`a5WMgH5Cj3?!8Kk(jh>&PQj(zc3vvckb#Z<k$Kf789
zv3_UzZ1Q`tY8=ALJ^mRS=BVnq1o{(1+PI8@QakaszPqIiee*@BU9Qn!_<*`eLOLrB
z`wr2xf?6F>uZ&yJ@dhzr3_29!GG!sh`txr6*WEIyrCsn#YW~d?bHFnNjo7Ml4GrVv
z(!81yO|q>T*V;P_%No=GK(Mt#q*deR0>Qy>2J*7OGhF(;2{`=(Cn+4*%;`RlpP4#z
z*~}`$+#TJ%GBX?9>^KGIat)4<d~K8XA-d9`8vgB9<5xXyj{)1^GJ#P2BdtB3t^U5a
z>>@LXYDx2hr~RkkXCAApryrVWWS!Ew&rt5P1!@R`k1xpZej>%^IdhSGi-HqhPt!yh
zM-3Xu@Y!+0^U7(IM@BEY)*w1d*#@@~v}p;*)5WCPSC?C#=Cd8~GBb-G&CZQR(So;k
z5Smmz+PoCr(iK+Oe3#hQxsZvHi!>YgxDEibG#cP=Gte&L1ZEJ~ZiT|sGcgq^Id_{I
zM4eKPyi1o=uW?gw)6`P31lRDYRass45a<hqT6M;uzd9>icPf!?2|O1333pR>svH-6
z@D3sVM2K-sQETk|gJh{lj=b{`E59Y%6Z_stpWkwN7n-k|p_sm!ln2HU;j^QSv<7N=
z4g!4Pgva8^e#`epd?53e6$vY^R+aRj`q1jUB^@v747fySKjr3UnK-4@48}5#Djrkb
zY7^TqBGd7P82UnuGiQCB8zSWH?H+B*XCKt%Kv}vU1jxc)eeB*<Y2x)1b>A_}j(Bi@
z|42`oeseq%T_VPz)X>(8hz9#MTWIzE@}TX#?mV;yQFVgm=83Q=TBh9Y`aF|nC&9-`
zyR}?4WEVN}r?*4iHSji9kfRB}u@NUQ(V~MDBR;#ibQQs6l#JC68i1&u0%H;|N+Gtx
zRBy1h<di4*KZK&_;PYvygfcA^KA73D5=HHxj!NnDK~++#GoZf$KRUfof32YE%EUdE
z?_KM;+#TgAF$JA5V!?!p8dp7emg@*>ZTgu}_<YI|)YF6AmES29QEI0aA!hvTi}v<v
zG#6%N)bNDX*VA;Mm0oEM0W)XL4z)xivj$8<O%{>sTTeZ5rSc+RPMioH9X;IkJij$K
zRZZ)Y9psN6e+VctHd}A}?)bbkJ9cxW`$x+!Z>Rz^y5&%y=Y3Lk(ZtaKSMBo9Eta8w
zFM4IOWWMmzlU~(qtjVx3X#s!I5YPs7mFY~NCYxOOg}QFHL*SYK*BZl2t9vF=+3bju
zhL9WSZ<QoG^UY8IPq#{~gP}a339XxHR;gg`2AVajJB?9IFum9LlCQ5CgC7xV*5HqK
zaHTTwlWO%q)h<6gQry|8^fuQr&7PW)P#cEX$g%reDuoAk1ShZ*e?c?*9!zM+D!7go
ziN3XF3N2Q;vtS<`={3@FJAOYRl~+K;O-OoGU&8q_#|of%soCyr`L!*`jtX|>AJC&`
z0FI=bDAJaFie@5t&tC|g4bNJ6_&Gjg`r=Rf&V4xl$t5Xz-f><VUNuNm@cyjKeI}DK
zx_#b4B6Nqr`l<@*uj!BoSttOvrb6nCCBA%pRX_XuZEMH3tldi&nkd+(6hE-v#U|!f
zdprI<5&0NM%@e&!xk|Z->4Y{^^K=~nbNB-Jx`-Xm^dh5`%}n<$!wKYydh09&jCgMD
zg?nutbwU!Yz(X-SjWyf1ebb*xJ)PT`+*u<a?c`+RDwvl{jwaUHX@EJdd$`(W4*C;I
zZgv%<HHfAu7%aEEMzyG6^wwRUHu9qrotmo!n`hV2j_au4rVt<Qke7hf<x-6&hK=)&
zXe?jTCslhl#a3xbQzaJF(2lV0Uu~OEc&ak9l(vaw6f;evuF8{}q1mc`7u?LE@@t%`
z;b`AT%#sOypbV>Hb+0@3-bo~u?J;95g5vghpO|F-x27+V!3a=8{wC8p==oy+P51kN
zR#%C0_G`r=!i=^SsAS0uYfH*)JS~OKFRA)mDU}U*W7P~+>*l4%x8))jfZ}&BDe<N;
zn02}Tf?gkuE}3~lc<2p%qGeh%b&>j<T$(Ch>JU$NeqM3Ga~?<r#mlbSp)A3~<+VW0
z@0oU=0gdl<c`?!E7a~?J{kD9dTr8mHpBxwM?m#jWH-MZyq@*0az^T%#d|qilo~Wl1
z4*EH9;mC!^ji31}Cv3C2G!ZEJ@j5&u7b?>(HG7l46)vF4Q2pfUIG1Ua4U=>+zr%vb
z7Q89X+t-&WfT3hzzIGVaUw33-1yBj~3RWZh-Q5H>URW{PY#OBn%tm4|hwElTTlXbk
zc>uH=MJ*5z{$M6kZmlNIsr`n}QF><^v%{SJm45n}^-r>dsH(Z})l^8gCF4vw+Kplh
zz4pozNMHK?(gy3{OC_{BK**~UGb#0TA*3eqQKf0%63|oV7i#-Zcxd;Xg;q=Fp{A)_
zoBhkOd<1hpwPRN<hTUiCck+Z6<q&^810Y@}o2)OQ2J4Q}(K)S1Het;1)aNSElAfE}
zlqGNWpU`NqCTq^$y*&I810=*nHB{pR!Av*B-IfOhf{r5x;XJt6WAMA6aZ&VG_08_e
zxV3~n3H0nbTxr=?kyAq6CplP~Q)LLoGCQ-=nssve%zkY<U{BE{%j9X?^+7EF<Lbj&
zyHB&hi<L!ue|NA$lxjzpnSyv!62*y-QzivB)wgi1w!s|<6)=z@j*26fVk4L#zys|e
zePMSY>67>=Q<Z+NBjYJ0frLp~<GAw&3M`{hKSf2@nmXef3!bXjGUoLK29(?R>-V?~
zZ0XP*y+`{8zbPk<C2>sur3`qp%T6?|eD>fpkKX6ed$!41Y;niFybiJSY%R?&DE-gd
z<w}OoyPln8cEnzEHGf*l<nRR?5*Bfd4L|dJ+^bNf7#uBYBYWLE<vOK#NgdCAV7u#w
zOXe6Y==7Cu-CQeIDWw&%G<C`zV>{-U#bASy$MgTW>as!=#H0$?vFn*_VkX?X3lsHH
zWeH4+e0-<`$b5vP)yZa7eLAw&VJQT8Y2()K%(nX4JK(QA2NQg-e*ba*cQY^;0n(v%
zYPZ<i`z_0fN}&GDPYRgqz_>!u-N&c*aM!om*ri-wM!l;Q$(~nW`TuIV?s%%d|8Itm
ztYl;)J6TC~2!(5A?@@}Z>^<H@M%go4xsjc{@4cCoRo9-^mc3nE*ZsZe`}6R}-Dkb#
z^EFNyvSs0^bC<kF|0~3!x%keL2Y+`~fM|J7n#B(xk)Z`2>-SKO%AUygT|~3$`SH}K
zzKDujeOXyHXHc@G|48ujY!y*+6YE=+l{t=e9$GE71OCMK(-E?uwU{Aiujn72m-9qO
zp1Ixbqv<!#3@(V$O9)tB^pNss$$Ac_@G<qqHaT#=vCWY(oO~$!`){gE!ae+P!1KQO
znIq`-(F-4X%ym&8ubFQq)!QGe;-Y7lceuGraS@8!E`Kd90$!ZUg}>_j_BMSmsCN65
zojw}>jHfm!r7hIY1C=(SAiS}aqa2mTy$?2$Q*oPiW4>paM+{Tl*?*KMOx-d|YOZ5<
z-eMw-uA^Hv6vwkF^zmcZ6{eO4$otrI&p{I4zy1<}sgTM(uSOZv&USe<uy%DWEFv8L
zwr%09u%QtL<?^OdgyI*3cwN2^dGlP2x|*<vdvi*xO_nm?4XoMoq|deLZ~TxcRqJsg
z*e0g;-ZTaE3g^I;8Tb2eD3n3*ggY?5Tj0m^r)6v-XXh3>%YT8CfOrrYX;z+|9v|Nd
z$~?(b0(S!Ngcq=<I27+_k-G5iYP#>yqzS^am|gsSeygPYAe+TKg|9dk$RS0*V8A`q
zyWfRV3+l-5>Y>_G5_8OQ@jZ5&n0@r7#d$yB#Q;U?Bk~KgKDLx|EiIXCdk%Y%4MuG?
zmV-jjz;!H5n#h3z|C@bOnO6K>6b&52p%<fY2Oyl&orTv`GxTQ9@fqjD6F2Yrnwtwo
z?2jlC1qNXx0yCv`>Rmb2J$8|FRnR@V*=d=N^5~SZ@Lsph-39~&-V@v8-kG1(%LmL<
z$R|LsLH}acecma|!?s?G!<%>0>t%zRnKpRg3xj~;ZF%gWCK0kd4~uP~;9H^Ab(h=^
zyVi!>NckYl>iLktDk*l)iZi&)yJBQOs-ubzZIRE`E??sW-oH`d%PN6twPSW9Q3dPS
zE+X~89T#O_!vo<b5##fk{;2>Se2kI+qLbMg%fMbiV5lH6LSN|m(sAq;YtHS(AXZXy
z0O{*_)|>lkcACv&e_A~QIOo6XxpRKrhyLLck;;<ud(5bXeLF2SufTmC`Q6OaT<jU}
zXYIvaQ?qlTJTzxpS!~WR=VMU9t=zIH?p@FNhJ!iZg}%+bDjN9Z&ho>aUy60Um1FJ*
zmq&0sClMU8mT6Vo>@p5<#P5A86_5ncjBex0eAZY|_N>@j!DPc9XXLQfcdyNTaxXvr
zGN$y1ww=sgIq=Qc%2?CiyK{`zcs$d{jB)PRfFhQIn+?<MLhq*8LUJVMdul>Z4Pv8+
z!%6ZNE5^yNVcJ34Su&Kpj3JLU;e~#Y2=@_&d?VuF%P4JH!X>rnUDJhQV69hUzWDp9
z?I5A3%DKO@MQN;uDUHWzrqv38@2MM{WLCpvN5;CHy>r1WeAjy}Oe5+;<NRot<g(fZ
z-^u@{1cXOQGl6;cQ<8R9z64K}f~vViOB+BD?xJ+^{B#@&5a$vWDn25Wr1vizhIc11
zC~g-_Bs<QZ1O8;Z5T<6u`RG-2%Ng^zkb|DcbcT2Ptqvw$%Hax%;N=<G5C;5j&-d9P
z#cj9K?Rm3x;o6e7Ld;pt1q-Qh5>o;FQC3$HX`qK+PI7yzT=tVtXGc~Xc-^Y<${<#X
zH*eQ(g$?&&uI+Iy3!Aey*hYk@?@C_VwL=eqk6F)Juwn4fcQ^uaTumV8d?;KfnY5u<
zT(4`KQW?9mn|tyINYSUk2+~?<(gK;<zaXy9`Fxw9;|!2b>dv`8-!-_y@WFuXcElmR
z)!pk=`s&Nn*fqkQA6ZRqT^C#N9jGw@KT(f<=IS;&0ZE6T5lHOfAcNYn=WHKEgUbcr
zT)<YItuTkhyWZ(YQr8vA_9~!q85Hws{F80}c(eBJ)(qaw{j9Me+@D{!5N4)Kj?V-R
zZ5P=dE_rZ6m{u=sE9f3iX&tlKU2?s(w=L`!*$;<;IK#I>hVJ;t?eax|Sp<|Ugd%vQ
z`8cfW?Af(2HKcW~Axp1juQ2clJ?aN)pFV|}w8|D|m9&{N(-#_$IYeq-9^88uPef3k
zX~E36sk)_{ab*xk+et-`@WBUEq%|h6z_Wv`wzlNP)1F9V%X!$e@01&bvcCwgAdaVD
zItgat37(y?_XcxF<rl_|)2uus*9EP%ImJ0Mo&}-&a)eo2KJN+;CE_}?AGS8>EAyLT
z&tFSw{-S@If7b`^Cb^I6(0lmYdg>Z8fstj#YByZ~$n-tA@jjAcj+fe*kh;T2H?YZN
zw_w>`XD9dLBKV7UdyJHJ-p7Nsm*(Lttmi=9PFAERK5gfzkS!a1B-_X%BQQq!isA~%
zSlWpsKma1H6AyjSlV?Ez&G~kBwyX{bNCO_9du47}O5XP63!kYWl0o2gf>^3-8CK`i
z9O9rOprsN0*H!Kv-cr7g->7lfiC0I?BZ;;0tQ>i2xR#s%&#p-B)QO0HIztGDNNZa1
zs%47_&VPj!5b1rBMYcys1k;qKbHnRW^zWmy1pds~(kmLPv4c_ImO>U_X|XRaKqX)g
z4QFkp;&Q)!I&G0%OOS>?2!A+DL0DOO3t8Qiw*;jNzy~y=a6fBf>CkjTzitQ7mcTNG
zSB@r|3}sd|{<E^yGgn<AZT5Y5WThYu-`1LAW6yeL#pixM6dsA6pSACoGFwFQ*Q})$
zSlIwkfOYqXOKaHf_~h2^&HJ}T1=S!&rv8P9VaMk`U-2Cz1O)hBZ)hjxfBr|l{j<mO
zv*O=JrXSCxjeYJ31j`GYhyL`2IA{2r_upLjj*uY>WbnQDm-n~I-0eB5s4l<hN9e!(
zy;XQc*}hclEGl#NtSJ&mn#sDpnV^&vfvCQ`mIU+pI~?jER!MT@ft1E%^BjtjnOX7h
z;%!F4WcZV%cSIMgzV9Eixw2OIKH_D=MQ5(o-oRaYrheOQ;U}v^!K7t`;sm`>t<k&}
zu1hPTI8oV8Kh76XS}`g#i$?4hly|95D0aE6DT`V+s}xpi1O6$K9#*io{}~m>ZgH6v
z{>d$obHO2AR`R{j%*v;K14u-&6DvA8Cj0<`H+MQE4mv3#-PVhh%!UoY1_-tCU`6*J
z=BN_DI?p+U@aYw5On3~+O2oLSCYjbB8c;LXX$RxalYiTVeGifgl3WtjjDA0TM2(^l
zAz1ysU{JtXHR*v0Lbve%;k)v9BHeK5r359|gHaL4RO{?=X$T?X$6DD+$@PpXN)@w6
z%yx^5#bvyG@jD5dIgn@yNvd~EO99h47Js*ISpT#{Y=m;&3C2%5CurY75IzfJa_3c=
zrfFB8ruw0E?vs2~Pzv?`Cn)Z=f9AJdbGdUtaX%-;7m()=Bgt=M2xo<GpX3r<kkbQx
zWdv8zXy?<iOT50j^rJ)h!L_*?a}3bb#Rt#b*E_WD2t+)^Wy@YAh!^wx6Z&udNYAa;
zf*5a1#<Ow!1qSxxjx+S*!S1TKs}joEWzoxDJ8aFxw-yt~!9T>ODZC&Q04#|2f=NrQ
zw_H9INp^>-A=4Z$_DJHqNI@{e=E|%_+P32t`)iOQKHP!bWsOG+YkoV#zgt02?Tqa(
zss0xTkGn!3CN=i*4;lU0FUS@Y_{au3Yr8t`uo!O3d*P)$(ojR#iO%yrBHfvKcvf{4
zujzgdqPaj4v>){5@a6-)?N)e#AXxHo$Ts08S87-5$@Ygxl>UT=mbU0T21XWWuhD+B
z;8?ONTs!R06CYEAT_B|E`G9b#-s;}84$<DeMoXmu@uv*;y&t|6ict}HeHmOp(jzVv
z4)P8y`t5HDH!%UrF{np)eAzWaLZIPg55f6C-0z0qmy1_%F=zWLXPE*SWPOjUqePq}
zYB#q?n(?X_!Ja?y9|l}6&}FhFVh3To`uT)^!MvAyW7fY2?wX5@CaQv?Ce;gF(a2<9
z%UGNj(d8@9@_5lpv>bd0c2B?q*Wq&Y5bOdF@-MP-`Ihw6Z2x_T)%p@2x%vi_@+y9F
z^+cECYRId1iV2&$rSU-Eubd?J*2W#M{BGI3DU{J>&BqJ%@fs(jgg<=u`foNxV~No!
z)$~tp_zr-w79$8{+w(JMfyQ6k{^@zNNH<vOXi2tY6I0o`lIfTh>*Wg8We9>Pxs=~X
zC5i8J`v%3ht<{ZL2CR-N^FZ3+1>BISuhYgPcOYgpq63nP7N>z1G;>x;q;>?!A=_24
zYDu0e8Fs;>Cw#8--w3}ck<K4AnZH?nOH5852RM5sapB_9xSUJDy+-bq#ft=Uhwo-q
zR8&~l#8}<h2;s7C4d{2Y^w5ae(|i2MSRnU!+GEgbFjLI&vYz%ajq(1v5&Z0n4ND<c
ztj`6jAY_u~Do9!@)&kBR_FrJ#;d!6v;N}OBxaUujpp1(*La5uBE831HH}KO00kdnn
zSa2fQgy#W5=`B%Z!!ca;ho?SZg1Oo9CCtv{EIJ^)QD!gFO&ikwre*6`eq@V~kPy}H
zZ3VOb{+6$RIR`ujsB_NMp*f3+znS)ZR*xCtuW0-XZ^n|ypM2+;v%_N#CsY;{zdXDt
zxhtBTOl!phw-T@mlLIyEfA35RZd~SsLESno=`*SRmPj{i%?vNIXTXg+>AhPI_h~M_
z%%puqk@l@_26C6rIX^p=5hg$dN5IXzO>|uLh~B1kG1IXkLq-|Q2hB7iq*nYY6CfM@
zO)n;qx_zjC;ZmGH_b#bwWQ^F;=r%ygeiERURBtWPEgw!DB?7Be$SbIxk&n>@@pVw*
zkkP6n>GyzT%WY`mo;whx%s{Z{P&@$p(eGfzOVF&|DZd(9Rx^<K4a{{)$8(x)-1}Y?
zeJN#-^}m=dV~vxx=3uqtAin&y{h=alz{?8*R*4R9VJQN8seqFXz^j1uvXc$eIqQlY
zYBkB&1>TDYk-$8<Z`rl(e=Ue>CY~FR*~umeBnLM_@OB6FCD%9?wErVG@a#5;A3byX
zs(;W%db1kq1(v!VQ5G<L1lu0i<@(ub$LuY7Wy<>>jTiy$`h;L6!vg9LI9w|CD=vG+
z|G3^M-oXwk*z^A!krIM15rd_t2HHaDS>%CK#w3qO0wvOW+xpU7)bX8xEFa?EB<7Ds
zL$B-9G-~%xj>VWh$!VyAUB!m$X_~4i!BQ6IL>|0K;tN7w>Tx_U14nrG=^Tr-%bgg5
z5SzPHo_6tO$+m8hWo-e&9P6#~FbS1}8^?9^yrIk?aAI3Zk-|mr&cg=6K|BzJ4(SaY
zg5YM?Ge}t!&m_=vfVJ0C4VCNcl$YlY{@Ykn+NXIqJ(npTU<4G@NH4shVXTB!JTn-(
zZs`Pe2YR%<31(8~!`Fid%q)w7qdc0%SA~4BpEu~)h*OzeXhYTM%a6a89$ir*lD_*g
zl2eQfMrem_g_49A*<wzers#ZGU44?>+@TrW762!GvGkU-?pvQpW0LB3k}-$=DfQ8a
zDny3~W*PC5VgODG0+sm2#M#7~;Di$i>wCK~l=pKEpMMt->-NJt5!kgu$RX6H;8#+Q
zvmZwW5@V{+;B6c!3t3sE1Hf`3JlBHgg?zDvI_p%e`>_>s^?iWg<aiQ)@o!lHi_-@o
zT@x4F6TzQK20bQx?UG>z?n<$49In<QRm#hDm%9=xa-{*2q7i%(7e(WbCM@}qZiMqI
zOW(C8Ke)cDJ#i6?7%<q9A<P>*hLZ<|^e1nPZ2#!?FH{n_tQ2A5yu=`Ne|pnl;%lY4
zVbBZ&>R0Yg_sR$DQJ`c4##<cWWuG|eg`h>$A)266giL<w;>Q*f2Q0h($Vh^XkVsY0
zSRcpv+lBb#p?R-XF9?h~f2);yo&`6DNZ`xg8NqDZ9Apf1#A1e>rp3G_8wh7frZq~`
zVbO=p7e@3ul!E4qu1L%-IkJJ%kkE*r@^c+rU1o3Avt9chaBOE#7ZkGJ*6K)VBS$<f
znthdnamfo(g}Rn8d&$mmRc!qXQRWt21EGT12Sl!q!!}@o8$J?zQZr_D+4yr$DY~UT
zo{@LUQS?Di+p}|EdC}0$fFs6KGPG9b%<DhHoRFU<%IHJSFiZw%V9U=_oVuxSey-NE
zjcDozpzt;_ALYn@W*}sq$=Md1c=)|j_3Qbm`=84aKYQ}UOKGWJ9k>7DD;ts49YK1j
zn^dn>Tjc^SB*PeTuRF<cHa@=hU4&sgx^~<lPM;I=8Y!@n1NqP-UTQT%5tx%QCo2$;
z%ge28^a>;Y`B++9G(-jhL8;U@YX2CR0B_h8DGt~2B1?1tr_B%fx!qB-`em%DvcpZ{
z{e0Ty-aXxg0FLE%Za(;ynp;duFR}iRx?gN016=)SgRk6fQ=Dh&Gh=&9rbm>|Zbz>F
zeUJS`mEg@C<Vw6YMe&cJlDey;uIEafo9XUjeUaA}3~6`mbOOW!WOx#8oF?i6&CoPt
z%r0pe)LRitOc$h8^5>$d%$eeTn{ohUBkV<tx1A2vQE>26HK(zm;>L}BSNWv<2Es{`
zZwHk%2YFoF1CAL4kJ63;^kR?y_`8^9%**8*&g*k=<M?r!tz`@6$x|_(Ze5b^6?>Z{
z+VJtpmp0TvC#E9BZWSa0WIiDhwu?uj_LUmX;Lz`qJ}-m(OX7TzZ3|WA$|(j=dGowp
z&tIeUHabF+w7M;X=jG&OE(DZt-AZx#+uQ_|j!1NN8Op+-N9CZ+KE-t~`4`QM#h=x~
z5;?p3`#)X(CkOhHz>?bH$#_W3cWnaL<ID{62XrUQ$g&Lpm)~}4aO-YrvsA@9n7qqx
zLp4`6Q?K*KzW|0H`1ez)B>D!HiciynTNIPZoZFE#J!=Sz{i7+^q+AMvURyB)m1i5T
za=)>x?=@V4+egpxug{&S;A?#YlMEwKc3;_4FAb&1?ki)a?xw0&3+m}TZqZbI)1{%u
z!074`;8~&NMJY+sm{RMzBASw%6Eq>BN_L@4hEfTA5q7MrSl?XxQ;rU!jWjMG@`V&_
z+fjTgR=|L-<V3ZksodpF6J}4<JC!cx!OT9?daz?ug~M!4Q%uzJO{rD>Y@-V*GThwJ
ztCH768><&92idcR#3HmqsPJ0|)g80-GIjw}aah&W9My(PT)?hg`p&ZURfAS|d0c|e
z{D^i}5ei@%d&YokuFT6B9sLj0b}Jm+-+UU_TN6Cw^ZN`5;N4lR;#u{6u&sP?-S~Q7
zO6|!;Rt<&jjq@D{D&lXcbmfD!NA{#+rGc8t8@EeYuT6_~dfYA^mybH*4g*O70CisW
zrQIIkAXwb(`;)ALWye9+{ftkS0HEiS%Hrg<BrNtmRxK$r%dMQ^w-@(lN=6U8u9x!^
z-&Q_@u+=)Llq3T9%P;o_5b{ZKF~ve6`lt9mh<>3_P634rt$&((9QrLWrWdMbuKyvW
zuU(R1_f_6VF>C3)V;_LETe3w*YdnwiT!PQODZ2LV%b!9WjmrGD%g0^PYGn%*re348
zix%D($QQ?*+Jz=VzF5uX)UjS~{ZxV@q{Fl{`1SvR^~~QTNPmS9=1sM^9N=Nx)p>7?
zSG~YBh)t^3gz<{sDtbUR^;Mvs*^JDA@m?kN*EQ_%C%0-Kuy&_N&#l2xcGnN7*n-z%
zR9E@=Q7_iH)~;;F?W>$#6|RXryFqqMiTqMMnu%Nzbn(l3y9(EYjZM_?<aGAVN11}u
z>S}%R_de&Reo;EE7+O`G6VB><XdVP*T1v2W(JubOn?SGN{PJojDwX_m(F0!tGyD_R
zdK@4!_s%&6&ON>O?2+=lCPMpe9PjH32{d_VB;&clm74~dG3Dd>x)aIx)_l7!z+t7L
zQv_i5HW)%H$8I^=KFw>;kzdQ@<X+`;6}D#w+Z=4KO*91|xak%R#>jZVkF_wPILK>)
z$3|XH;g2WOq0+l_OIlzuyR5pphd^f8pq)dE$Rrw+F8Er#lVgUg00p0YpoVw3?!IJ#
z+Fx^hH{r+;MhU9v+&Tu;o$nQNi%Y7N{U1WfLmOh|WW_z6bhWV{R~TQqSs03pS|Cax
zXdP2(?+3+cxODzA)~WV!62n9J7mQb`5Zpp0g)iX&rBg;B71tKADu4lwfN#Rw;_V8z
ziCNo5Yhua|*0pe%39sC8+MXIH@iTQYq(5ZlPb+w9Iw*XC--HDePtQ)?fkh*XKnB|I
zGL?Lb9@i+kvCUniBfs*?nRQpoLHNHZr86JB$$M5ciUw0%tWhT5xXAm)mpP!RWt^$C
zzTCTRy1HjN)|>#yxGvQ;JA}tv-0w)3VtlmfXYk6{u`_@AS0HCNVoN*$cEM_s=Fu-u
z=qj8FGhpf?@r|VT`Y%~%_(~<Dvd0p!PT$S=0kigG`Y15@us`A*;t2ZGnjHFM|37OH
z`$CKnb4*oqN`iby%417~5}f6a7cKZFq^=Kl<Gs2We+mY$@Qo#2X!es_kTrs-p~a6g
zi*aIeb<i$r9Jh?6p!U@|aKVEHbt7uy>4|Rm27s=e7a^Q57r!vZO@MPvKcC9DCe_O3
zp@l+o-iID(>f#8Wq+mIme;MJW>EEsU2DIhDuI=V{o0Nf!#`4`&G0?|nuAc(<;oYx)
zC2w=fkA^zE<4H*RUhd>!%2>(l%eu=tr(;dK%eYIZ+wNy-*I~!=n{b-AjPN#*90|)f
z(B9O7pKiA&OBP5xUhwX~Qq5l$HvS^U>Y6w~9!b699@y^?92mSGMT7WSh+;ilP=+E3
zF<E}jRIt_y#hmtmh8|t!WB)DFiA?TkG)eC32g+>s;YwBT!k=|=NUl*B)9TF-264$s
za$nMMJPkI*GPWPxxK8SU%k^A#r%~?Y=+;*BGE<L;zec;g1^Rdm55n4Ve?o6O6$yA0
zdpK{5$3q}YXlP*WIQZP0-1<$Iu@#B;&x$(MT^~B<)e%XF1lvxPxz7TyH*@Wq<DA2|
z`i)bQyfG?~*;^^JXG)Oa|EWt>v1t7?4uXJqH-Uoh;h5hUt}a%ufOaf*2jl7y-6D%l
z(O?{1P#Wc;sni_Rgrrg8jlUxoY)7=y0k533zxlnuZkLsh3ZQ4I>t)u>YceYBR)KG^
zAf^j)bgmd^6HY$JR#y8@?nw!mpnb20{xNvh(9;|_Z9)lKOb^wfX%9h7H5Q$mG(IAi
zA-fVHVNl1KBpVEn-!-hmnjIT&D22JajK>uXh-IDX9-pwE0~Fx?#426T2tbf&^D`5R
z>5;Aj^9XKeC+eEDm@D`0JqMgbFy-<)cB>)l=|%ptwrXXJS#^C&^(t+M4_-qey=N=i
zNr3e#`?R`X0D%kPMOdxsk~Gq3#xc|b!u^0rO6-G&CXjQyj`@*jdmoixvB8eqXfgY+
zM|p((Do$ZcdM?m%A*}i;Lb?jiE;ogAo3pL3KRf*hOPJLoH;w*s=C#AY{Q<yxlvSts
zn!UT~*^XVYDW48@_<qGv^QN2Fnq5^|EW)P-3omh)5(y|f!k^u#?#U^M%lj`|QEh3g
z#a7hkB@jQQgEPC#SH9%xsA2&hHz#r|F9E7TvS{=ejyM(@*!tA^b+L?TOH>syNNR4m
zdgjtQxx<s%-qfIVJqSVO)&1H~cLl+NHoBMU_BiLjtVww}$P>TKt3nj7_3L-9h=br1
z7L6ux-=pJ)_mk(-Q}|NZOh%wqcSg_^2J`@wc1L}ALoU%hXYW_}gZW_DHM_Mc9ybYO
zangfGqZrW^t-M>%8^VbX)mts#{oSvR*{A)6gJ-n*<1BO+v#D&ISM^!4o}8Hkyj@|-
zd{~pTLf(8;P!2lYFRXr%)tEwd)ufOb`>JY>h3<^Jp@b6Ctm2_xZK0EF#f|d7*3F~A
z419mgZ`|e0VS`=>Eb6u&2J1Sn;fN`FD^f`)%Nv!6j*CT<YhIoNBVHlgpc%~;DGY_#
zN>UJvXPBg!W+RFUlvK?F0~M*9+~0SKvY%|1h;+N6s8q=&>rxo1vy*eOINQ9(Y~2Fm
z=RpoFIM3Z2%SS2DVM`dWo1Fkg_p}*^KdjkTbb!O~Bn)CEDt?7yj#A+7c8Tn5u~U#8
zC4M>0Q><LHyL<D8!|#2S)yIynaZ}LK_r9nx=uYc<SSqS}Tt?<tM!d2MymKtBOw!xU
zdvi(Lrs7aL#me#WU_tqz-}ctMy{rX-f)AX@La;>hH+3J}ul55h>{P#4ioe`qFk+F1
zbHoKPb?(-`4=(+hW4u-P=l~nRwAEqpuugwRE=etA80pY1n`FB*s&)d)|2zm0o0QoL
z4is`U>sTSTQdFC?w4&*8rPmY;3i&;hug&)<&?rpqsCFNw58H-+J{=4!qTN2K54|R0
zB$IaNVd0o<m7oTQQxthFdebe6WpM*fo}xPL#gY8_P!Jq`c#uOfo6L$KT&4<9W2-h7
zjrqvm#>wnr5!roJo(f4aJ#I*$t%zMxh4iR4!8~MFe@oh*sa@kuvNGOlH9=NAcz(8j
z4Xai1SE8oGx$(+0w>ccOXH#o$)5%CgI$?857IOe!`DVU!Hb2L(19WASmn0b)DJ!qO
z748c5XJrbNsP&7ry`)de4W*dG`=R>Bc5?Q%!MQ03xmst4(nEHIm#!J9rtT(rx<Av`
zw{FcTMi@l~+jjX@zCofx-ordfCMkJ>5}xr7=%QHcXF>?Va5=e@(~4()jm*BnNAP#g
zfUTwX8ye34FXoFm<rJD?)HzeR6}+904b=jw<qvog)WTA3Aivxi$91eM^OhL!Xz+^t
z9kckeb68TZ#Wfw@*FCOZ6m*vitz46+{zV*S;nhmJ)3f=0u|@pWA|xWu6$M-H?-_nA
z|LJqvOqXd^n{a9+#?|qi&o82109)BjRnb1jpUG<HDK|Fkl5YI^QZ3z+1UsUEK-T%3
zyY(_$D=!-KK-RR}ke#7DxyI)P3$0DqxuDxxwOxg^EQ~*;voU<rpo2q0z7+5e6kC2Y
z_$N)6bjo?AwLfKdPCk|jtq)C^o_=C#ULC(*wx)_*dM>eiwvebl2sEb>J?DEqsTLiN
z6qq|GjcZ799mMA)NKabtlvg^vDA}npG)Xd~-Hw0Q6nSZP8L;kjV%+?@_H3j392tY#
zS$~l&R*t=HdEkiA3Ok6zz^*T^+C4M~4sm~zBezrWx5g(&PLB^b_%!jh=&06AcjcW@
z>%ev7;2JgsxB%OMm{YEBL(u{B%aeyLj?c}nTr8%B2t6|pA@l0io3N=dL8eBRLZC}0
zP^YW}=b03SX@O!1n>Mx+x2^+#aI}H`0bYE=@71c!su5y7bz3|*(HoxBYF`mPvWfoR
z+f{V^>lzH}Ea0qlOlsO@z0`7FBWFtnZR1_8@ffiHdDpU2x2#N8r?p_h@nWx;$*FXN
zHauVC$l)Xc&VA<oNC%DLv-KaNy646k4N~QkTOO{pD0N-vc?FCd6NAgxxQjc-8XWuL
zuMwtld}Hzr@;>Jjj4?aiii%Z=x#a!Hl1sSXesd;S_Ko%;F&BTbE3N9!KEryu^%x&%
zU^ks^5JlDcn$&G)S}{*o^RHdxeIdjM)SX`&AJEEtE)#v&puPr+xUr%77hHlA1~zdW
zt<`@Mmhq65RaX#~q+7mwbp7H^p)M~f{lx}*d?u!*$3$$hP&b%reWXaZso(_=FTQXW
z4?cKI<$^@#zsG(Gbev<<&AAXxqW1>`Gty-*zLwx*p=c+tKLWwM)H0KJ@*7q<&++hX
zXhWVT=of+V+&=rVj0HI!kpBX%qgz*v+U{sw5kdfVn7l%B#U+(m*pGRwhgz*(gaNNG
zXo<f@&JwzUZXnWwV?N<5K73mCcg$&JM|I<J1?tTvifx8L+unyD!~`5O7_h+a2ehWt
z{<f_vUk<tzr~A2abQAMy;;c$p#%pp4d)(zy(_<?(ZIvi{5p(8sQ0j$`gQ!JVJsUZG
zySb-r(DNZhUce#ERX9l171Z9B{^!*7OFD{eLm6$3m6B6{$TZUFkKy{=v1Hy6&b-HJ
z$e^3P<a~b3qPu{msrHTAQ~6sU+#$1mJZb)Fzgg$=MXVB|2bbpp_G>HLXmpDh^LygS
zF+)vH6V!!$Q|lfT;qHj^s*~W3ddu<W^YU0avB|MSxiUP-;-ALC<>NS;ti5xi<3^by
zKv;w5f@2Ezi@N&)&wd4KHXaxorrSF5D&L*1CzJbF9S$(OxutkjUJvFP_n2#E(zSer
zz|ns$2%@=xyc`tCrm5TcxA#>j<lK3K!C_0*L$i8Q23MoeB12^PpSOi1`Y~`I);olg
z|Lh4el0@lJ`A=IEwY_AoW6*pz(8`uqwD-9Vzp-RN`cjWPT-mAKo7FtM&F0{$RWzG!
z2w0*23=<0!v7nE=&MYkd6j>I3{0T)rNOH(;;8)4CXM_Aio3gzPD&xpC9D|I@Zooee
zd`y421sHgpQ=6K-^nLMEL)aM!2C6S<orwleR(m!x2DQ4~D7#^Hhg;3(%XxVni#_`Q
zL$X@9KJP&Mm+b2@1>GmBMzuR;yb-!UyC)qVS=-x`7{QU<*?4{4Rvq_xod=Ipq@Mc;
zyAmy*tqj#{pmnsa$GvI~YTO}#J{6XD7L1F}H>VBq(QV3$3~~Hx-p-2rT$HFkT9`5(
zq!M<K<8Kv_=?a%)_L2Nh7MxRiXY;m!h$cts&!#N*K48W=+XAxe&9Te1W=8e}*uQ6i
z(1DH>nzZ|ItmU4CXp1+_w!W_tDr$Yae)E@nI*8$E^Ai+b1VYWXiznwzFf~wrYyyn9
zDrrTY^VtP!P1?%FjjI6GrNwh&*>t?0-XvS~9)_m0UNP2&oPS^{PCraaSBOtn5KrP&
z&~2z+yXSv=x6FfPRMj+c0rOSq{-k-~Vh{N*Td~)36Xgxbd|u<QUp*Q5zME`V=5Y%y
zoW7FIaz%aVuJd+s*W#T`|HLz`E+4OCLR~vqK=GpD+^;-$#G+Sc7^uA0<8Kira?dUl
zX#ROL@W#FTwy7|_m$LT&N^H%?B*$?^Vaugf|Lnym+D5SZfBpwoY!tb@AihzxJm^O9
z#dtv{s)0L#foIRHDVLXw@!tIC2BIdTe<y*?#CxOR*OgiywK)2}S!8tWKJ%uEb%>Kt
zk5J0g3>2~F2?|Ylh-Gng9ff`2npTh44<4=t%d7-)@sUnwc!BvWbcoD{(Oh{sf`0JU
zHs%368F~#0bgAH?^;ecnbT{F|7bKFr8$%`0P$~u(N!dWRf99cOp31?#kP@U($@JTC
zGIZjA&}2G~H`UL6<R+5jO(}$&N#ceos<}zFWflwVG62)fiu5kN6_4Dw3OQVw)E|}A
z-cUSiNkgZ-P%rx~Xup~I>n66tm;}5!0Nep%E`>}oR!Ggu27M6MHrTi}njm+-tl@9j
z)$SxcEa6F@k2LQ|lj)raZ-F}OaA7TdSO5RZT+W(Tu_h4cQu^nZUa^6_85oAV3>~^B
z&Rqu<$HE@7B`|M1mM$AY*VVOZ1tBu4C|`W6Pa87@U8gi$;$>xb?U!GPNnuJe7cT_f
zmVYAudwb)K^5dc%M@PS$<_YNqr<aa?<qbr7q2wW{h--5?a}TU{uB~cZ(;|V9mJy8N
z$KzSyuUzL$^X|z3)AW3AoCvzIC%F8^B{>1+fbze!)GJ8csjtcr>)d#xtTr4O_r&7(
zHT__{_@Cl`^P(}98CAGGG`epZUl$Z=_Z26z(kHzt=;EqHBvjOf65Wc)BH0Gp*J}`X
z_vHehqh@Po!#buM_>c7`-?zo2FgC-K7G-l{?b_SKrq+YRY6Q7}=@IkXeXv~yK}%w=
zga%jt15`rYmd@gIZ>UFzETpEB@Ehxz5(2i_Iy4zooa1Jd%8F`R7(d?}$GPkb*lc}W
z$BP3{8;a`opGcp7`1+dWr2#!*bxJ?+*Ze3(GIqsbB9j|L69nQM3a;cLYQxmmiK3{Z
z#Wg!0J3TXDA_Y@6I&4W_D=FP~cDkdf-g^{}lFINqu-y(2Mbj^}?eI1=`FVi-Y&{0r
zB(_`z&Q~~7n?*xbLjt4^HUF(^$1RdZp@1Y}I2Rx7UAXS2*%^X4bmbBm8`Qzwk{3)x
zO;*nw3<bkkzxpJ*py|6&O*J+p0dKx+zw3M#POP*IWN~S#4{fnsiHO4bCd5;O8b?TN
z<`0iRYt5O0sF30IL$p~;Ke2oZa{JbkXO3PD0d%gSHbx1Qy?0&z+a=+^?fbuYiYtzR
z-*<(q?+h|eHa|+m)m8`5CXzGF5n2055AY+XLbl9~n>HB5WPj95!#hGzH1=|%)cnCd
zYrv3g)*k;9&56!B&fof$t5e>YCOz~5eqW)@pxDx{tR>FIuQiTcH?r)N)9*U_vPic+
zA&<kR;X$$D9F<V=sOd$oqn18<Gm;`S3eROM1t-;(r`_`Lm(5yG!<!k0neFXP$s@I?
zee*5T$$D~{Y#fuwRee0zztuL=uyF^#Z`Jb1U3BC>ir?02=ot^eRFkcbF3WB=-v~70
z*d6yQdzC7#5)!F9!IxT3sX3MR>O71(0AV{<9kF<xuKHYL;$Z!OGIp{Ti?LM-U=GP~
zoOF~4o`{U1+w{ViYhdWM;o6wZnP(UC`momOwhhUZz2;imJeGvp$J1Up1zSJ}?-|QZ
zy&AT{qxoaw-EW^i;lMivoGt%6gITOKdZFTZtRNWkp%-}ylh|9|5~~<Ey;Z#i`JDr(
zeY59L^H=4TNl<iDa|q^cBEe^svXGfD(mVb50|fQZ>H>#Jv!2e-y&W2<B!)tN&L_L;
z>Q4}EtcfH|WsZm-si)L#fQz-QgAGm9=LQub;$C{FoYQCHw#)|S!r)YQDeF@Tj;~UR
zWxj3c9M7yMI>mB~(nZ$CEVrk4IE;>3hgT|Y;xCvvOl~{~F6dm}x$UOXIk0AYaQE$&
zGvRg*H0X`PT{wFxo6*Fq7mEj51D>5;pWVc_)rwx0RAFja3Km84X@H6S?ZhRXusQTf
zi=ALwcHvV&aw^*7X%O|<%l8Lzo;SAo*$37rUJ#$g37$PrZIL?CJQWJl{^E=&glj{9
z9VzHl7(Iz=P4=tMTrknokVc{VzP9&(+Crz_EZatfSahk=&J9<T#MZ%+j$qMfgYyl?
zUk47yMbRXWR`P)rdy1Z43LU);zm!AmbWfkBRtv3;JiIzlGu;~Pfv0U1;IW-74-Rq;
z1C(h<xj8w`5mZ8)nP5Q8r?R}@#g9E3*>V`FfbHhKKcV&*hXoJmL<Jb_2YWWxJk9Bu
zKQ>OL*%`%c`xex^Vzq8UZZt2{i?=JIJ}`#89@^Fb=3dPSEo9e|<bFPxnNE`&EFD5k
z;Yr+B3mU~66FnAUyHW#OnmS(i=nZ6j4byQ3q-=OgMDB;gL<lAkQ5nh*txq8}7C;$n
zFx2Ep_GaZ!h!<V#;ZdU3;DFuNuaDqh9OEL{oE>|1v8*5b>Qw;zz(M9}d8LKzKP>_E
z<z;dKiymPhc>Roo#?zVEHImeHwEV^3T1=)P+~-!$Bg+HKq20L0*sHjT7YpQsufl?P
zn<Zna6t?y^-pmD`kxUPkPV7j{4G|ufI=4*G`Z%>h&If|>UR1o{mZPePLcvlI9i0}}
z4x&FKQ`wYU-8GT~<*Nh_%V)A40P?W8T3+7ePI(##Z2B+>>R06uKgN@+5v7p$nX@uv
z_QyEhYq{C)VwiY5oa(ah5DV#-VXb7W-sx8AmgefntC+L8F;1bRhkha>e3jHY(!r+(
zHAWp(%4_tlDE_U6vT7`>Hb|#m&Z5Wd^J)0}phdb=GrzNp^;?)NxDudw@*P-Rnlfqm
zbT5C{Zm7OFQY3x3_KAvKOc$}zU(oWtopSusr*cVOl&!Sb<41l@Ds-*TSxDjXT+V<|
z;kl2!lNIBS!hg732*04)rR;n^lXxiI@+tt^cdyMweaSvI$Fhcz`Eex%H=TQvfz{ha
z^7J$B0j|4TOxdNO43PhOLNTS@`QH-vO?&wj+NM7^2$6d4HP)U6=|i{QHuX6L=h&>j
z3y+WA^shN0e4;+^a6VDXnL@guAzp^szm?+~Rd<c%lI^Fc?9-KBk8cg!G5m{CfUe<7
z%C)7-#|uNzHYDrCT$)PPu5y($i3f|&LCnAGo-O5DPE~IKv_lvvgw2!LMfU`^JhuQ(
zw1&U@TaLMjL;sTM9VctzJzVPs5=HeaZwOY#cQ<cv<1}Kw+Q&WSY)v{?s`2Dcgtre<
zzP1DuEnJ8Of125G9mc$PqQxdU_(uVZT%T$=QSd_1tM+KKYWfo@w?FxOv3d;7Q*Ggm
zy+!8<6Tl2I;Ph>O_n~DQ=l{%9Jq-)Bi~?jmTo3*>2y)NLMDO_C;*e#Epysm5aLO_X
z6(#?dzMdgD^iVMO#a4`_VB$d%uJKc_R)?FL<^-uon(W-Jn#qix;Fl>zvAT3jL-D7b
zXL%J+kcm^6_?eDdGT-pMx?@<2)&*4V0=JdT(D}VzJlT4pyU8QueJob~TJxmu-(_Bs
z5pnVe0cf#O1<NoQy};F#>s8v$lQTJIuvOIi{lGrR)cWm`tFBidIYWi!<kV=UTRxB~
zDiED%efe?F+E~~oUs#>|mFjPf22CGIbmSJd;m~US;WvV9PDGeJJRqcv?=6s8fKZ$h
zeKN3BEjlFEtG;^wzeh>+c?jR-^XXM;{snf!*45St;o(F0c58E-j$S|$;2hRu(c_Xr
ziiZxddPdaIz>X|my6^#ehD>K2<D`$IW@;3=t3dJYc)P|v&JZlHpNd})ifMXcx&PrF
zs4Mw8(Ls9Bmdr)8iw}gcfNWUfvv2o~7Tvl5O9mP$!PyTBEkt{B$i=(v-%%5;eU7?T
zm5lB!6Qq08!|?kTKHDFMl}{<-2^q6i|Ch_Ar*DB^og+j@XR@975*`hF9iGx4g1Ngo
z@^mTPD6KRK$zrrbuyXuBzs@`OQTn9@O=uP}#zzo7p~#`y3WP3jJV_fonvAe%#Si>e
z2zafIc*SIb`qYuR@7?iYx*$h)am7XIb$VC%YUJ!fgnw9!%~%L#^pWili(tNQl-tb4
zKkX@*iY?b>+XyTjbThnv5pd0IKHm!Gzs8bj_-WN(#fYM5X7f<rCqA=UXW@A-z_IP{
zQH5yL2-x378GzSJf;K3$yo_&-lICu6%8%vN3{piDS>R{w08WHabiRSqoT;UzG{cDy
zO~|wc5qYJ0Pj6{&B%SMEko4`wELFdnTgFOdF>>iIh>rzc(D_qIe*08jpm&-a)4ys-
znI?pPn`2)b{@;1{%JlaC%Pg^v<jHJspd=^6EQ-YT4VR%IAYLZ{-nDn_sY4nCMbJQV
z-2WB|mtrD@J)VAEoy(Zc8_lwK;JEISG1LWKzB0%YOnX}kYf3(?vee>oCKpd#+Fr>U
z49s%LDV2tpMb{c(-;QbGqZOuz$Ky^mkJYI}(@$nsvv(y#r-!dxkcXfTk|LggR}OA~
z>ECLk;y<$zyfujNve@S8nLX+C|IcYidPoGyk;LzwiMtexnzT4VK|+r{qArF`Jn#?l
MRO?BFqV?PV1KD}^@&Et;

diff --git a/articles/WHONET.html b/articles/WHONET.html
index df24cdee..c06c4bb1 100644
--- a/articles/WHONET.html
+++ b/articles/WHONET.html
@@ -39,7 +39,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/datasets.html b/articles/datasets.html
index 743ec237..5b665dd2 100644
--- a/articles/datasets.html
+++ b/articles/datasets.html
@@ -39,7 +39,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -194,7 +194,7 @@
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Data sets for download / own use</h1>
             
-            <h4 data-toc-skip class="date">25 February 2024</h4>
+            <h4 data-toc-skip class="date">03 March 2024</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/vignettes/datasets.Rmd" class="external-link"><code>vignettes/datasets.Rmd</code></a></small>
       <div class="d-none name"><code>datasets.Rmd</code></div>
diff --git a/articles/index.html b/articles/index.html
index 8604c456..f912828b 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/other_pkg.html b/articles/other_pkg.html
index 85d02f28..9916e001 100644
--- a/articles/other_pkg.html
+++ b/articles/other_pkg.html
@@ -39,7 +39,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/resistance_predict.html b/articles/resistance_predict.html
index dafb5bb9..1973d213 100644
--- a/articles/resistance_predict.html
+++ b/articles/resistance_predict.html
@@ -39,7 +39,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/welcome_to_AMR.html b/articles/welcome_to_AMR.html
index 01c25316..a089001e 100644
--- a/articles/welcome_to_AMR.html
+++ b/articles/welcome_to_AMR.html
@@ -39,7 +39,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/authors.html b/authors.html
index 560010a2..2c26670a 100644
--- a/authors.html
+++ b/authors.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/extra.css b/extra.css
index a50028c3..8eae06b3 100644
--- a/extra.css
+++ b/extra.css
@@ -29,18 +29,30 @@
 # ==================================================================== #
 */
 
-:root {
-  --bs-primary: #128F76 !important;
-  --bs-primary-color: #128F76 !important;
-  --bs-primary-rgb: 18, 143, 118 !important;
-  
-  --bs-secondary: #a7dbc3 !important;
-  --bs-secondary-color: #a7dbc3 !important;
-  --bs-secondary-rgb: 167, 219, 195 !important;
-  
+:root, .navbar * {
+  --bs-primary: #a7dbc3 !important;
+  --bs-primary-color: #a7dbc3 !important;
+  --bs-primary-rgb: 167, 219, 195 !important;
+  --bs-secondary: #ffffff !important;
+  --bs-secondary-color: #ffffff !important;
+  --bs-secondary-rgb: 255, 255, 255 !important;
+  --bs-navbar-brand-color: var(--bs-body-color) !important;
+  --bs-navbar-brand-color-hover: var(--bs-body-color) !important;
+  --bs-nav-link-color: var(--bs-body-color) !important;
   --bs-bg-opacity: 1 !important;
 }
+.nav-text.text-muted {
+  color: var(--bs-success) !important;
+}
 
+.template-home img.logo {
+  width: 200px;
+}
+@media (max-width: 575.98px) {
+  .template-home img.logo {
+    width: 140px;
+  }
+}
 /* fix some footer issues with the logos */
 @media (min-width: 576px) {
   footer .pkgdown-footer-right {
diff --git a/index.html b/index.html
index 01b90db9..5f869bd0 100644
--- a/index.html
+++ b/index.html
@@ -43,7 +43,7 @@
     
     <a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -781,7 +781,7 @@
 <p>Manually, using:</p>
 <div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"remotes"</span><span class="op">)</span> <span class="co"># if you haven't already</span></span>
-<span><span class="fu">remotes</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"msberends/AMR"</span><span class="op">)</span></span></code></pre></div>
+<span><span class="fu">remotes</span><span class="fu">::</span><span class="fu">install_github</span><span class="op">(</span><span class="st">"msberends/AMR"</span><span class="op">)</span></span></code></pre></div>
 </li>
 <li>
 <p>Automatically, using the <a href="https://ropensci.org/r-universe/" class="external-link">rOpenSci R-universe platform</a>, by adding <a href="https://msberends.r-universe.dev" class="external-link">our R-universe address</a> to your list of repositories (‘repos’):</p>
diff --git a/news/index.html b/news/index.html
index e224d6e5..1518e2a1 100644
--- a/news/index.html
+++ b/news/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -159,18 +159,18 @@
     </div>
 
     <div class="section level2">
-<h2 class="pkg-version" data-toc-text="2.1.1.9012" id="amr-2119012">AMR 2.1.1.9012<a class="anchor" aria-label="anchor" href="#amr-2119012"></a></h2>
+<h2 class="pkg-version" data-toc-text="2.1.1.9013" id="amr-2119013">AMR 2.1.1.9013<a class="anchor" aria-label="anchor" href="#amr-2119013"></a></h2>
 <p><em>(this beta version will eventually become v3.0. We’re happy to reach a new major milestone soon, which will be all about the new One Health support!)</em></p>
 <div class="section level5">
-<h5 id="a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9012">A New Milestone: One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9012"></a></h5>
+<h5 id="a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9013">A New Milestone: One Health Support (= Human + Veterinary + Environmental)<a class="anchor" aria-label="anchor" href="#a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9013"></a></h5>
 <p>This package now supports not only tools for AMR data analysis in clinical settings, but also for veterinary and environmental microbiology. This was made possible through a collaboration with the <a href="https://www.upei.ca/avc" class="external-link">University of Prince Edward Island</a>, Canada. To celebrate this great improvement of the package, we also updated the package logo to reflect this change.</p>
 </div>
 <div class="section level3">
-<h3 id="breaking-2-1-1-9012">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9012"></a></h3>
+<h3 id="breaking-2-1-1-9013">Breaking<a class="anchor" aria-label="anchor" href="#breaking-2-1-1-9013"></a></h3>
 <ul><li>Removed all functions and references that used the deprecated <code>rsi</code> class, which were all replaced with their <code>sir</code> equivalents over a year ago</li>
 </ul></div>
 <div class="section level3">
-<h3 id="new-2-1-1-9012">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9012"></a></h3>
+<h3 id="new-2-1-1-9013">New<a class="anchor" aria-label="anchor" href="#new-2-1-1-9013"></a></h3>
 <ul><li>The function group <code>scale_*_mic()</code>, namely: <code><a href="../reference/plot.html">scale_x_mic()</a></code>, <code><a href="../reference/plot.html">scale_y_mic()</a></code>, <code><a href="../reference/plot.html">scale_colour_mic()</a></code> and <code><a href="../reference/plot.html">scale_fill_mic()</a></code>. They are advanced ggplot2 extensions to allow easy plotting of MIC values. They allow for manual range definition and plotting missing intermediate log2 levels.</li>
 <li>Function <code><a href="../reference/as.mic.html">limit_mic_range()</a></code>, which allows to limit MIC values to a manually set range. This is the powerhouse behind the <code>scale_*_mic()</code> functions, but it can be used by users directly to e.g. compare equality in MIC distributions by rescaling them to the same range first.</li>
 <li>One Health implementation
@@ -184,7 +184,7 @@
 </ul></li>
 </ul></div>
 <div class="section level3">
-<h3 id="changed-2-1-1-9012">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9012"></a></h3>
+<h3 id="changed-2-1-1-9013">Changed<a class="anchor" aria-label="anchor" href="#changed-2-1-1-9013"></a></h3>
 <ul><li>For MICs:
 <ul><li>Added as valid levels: 4096, 6 powers of 0.0625, and 5 powers of 192 (192, 384, 576, 768, 960)</li>
 <li>Added new argument <code>keep_operators</code> to <code><a href="../reference/as.mic.html">as.mic()</a></code>. This can be <code>"all"</code> (default), <code>"none"</code>, or <code>"edges"</code>. This argument is also available in the new <code><a href="../reference/as.mic.html">limit_mic_range()</a></code> and <code>scale_*_mic()</code> functions.</li>
@@ -195,7 +195,7 @@
 <li>Updated all antibiotic DDDs from WHOCC</li>
 </ul></div>
 <div class="section level3">
-<h3 id="other-2-1-1-9012">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9012"></a></h3>
+<h3 id="other-2-1-1-9013">Other<a class="anchor" aria-label="anchor" href="#other-2-1-1-9013"></a></h3>
 <ul><li>Added Jordan Stull, Matthew Saab, and Javier Sanchez as contributors, to thank them for their valuable input</li>
 </ul></div>
 </div>
@@ -337,7 +337,7 @@
 <h4 id="antibiotic-agents-and-selectors-2-0-0">Antibiotic agents and selectors<a class="anchor" aria-label="anchor" href="#antibiotic-agents-and-selectors-2-0-0"></a></h4>
 <p>The new function <code><a href="../reference/add_custom_antimicrobials.html">add_custom_antimicrobials()</a></code> allows users to add custom antimicrobial codes and names to the <code>AMR</code> package.</p>
 <p>The <code>antibiotics</code> data set was greatly updated:</p>
-<ul><li>The following 20 antibiotics have been added (also includes the <a href="https://www.whocc.no/atc_ddd_index/?code=J01RA&amp;showdescription=no" class="external-link">new J01RA ATC group</a>): azithromycin/fluconazole/secnidazole (AFC), cefepime/amikacin (CFA), cefixime/ornidazole (CEO), ceftriaxone/beta-lactamase inhibitor (CEB), ciprofloxacin/metronidazole (CIM), ciprofloxacin/ornidazole (CIO), ciprofloxacin/tinidazole (CIT), furazidin (FUR), isoniazid/sulfamethoxazole/trimethoprim/pyridoxine (IST), lascufloxacin (LSC), levofloxacin/ornidazole (LEO), nemonoxacin (NEM), norfloxacin/metronidazole (NME), norfloxacin/tinidazole (NTI), ofloxacin/ornidazole (OOR), oteseconazole (OTE), rifampicin/ethambutol/isoniazid (REI), sarecycline (SRC), tetracycline/oleandomycin (TOL), and thioacetazone (TAT)</li>
+<ul><li>The following 20 antibiotics have been added (also includes the <a href="https://atcddd.fhi.no/atc_ddd_index/?code=J01RA&amp;showdescription=no" class="external-link">new J01RA ATC group</a>): azithromycin/fluconazole/secnidazole (AFC), cefepime/amikacin (CFA), cefixime/ornidazole (CEO), ceftriaxone/beta-lactamase inhibitor (CEB), ciprofloxacin/metronidazole (CIM), ciprofloxacin/ornidazole (CIO), ciprofloxacin/tinidazole (CIT), furazidin (FUR), isoniazid/sulfamethoxazole/trimethoprim/pyridoxine (IST), lascufloxacin (LSC), levofloxacin/ornidazole (LEO), nemonoxacin (NEM), norfloxacin/metronidazole (NME), norfloxacin/tinidazole (NTI), ofloxacin/ornidazole (OOR), oteseconazole (OTE), rifampicin/ethambutol/isoniazid (REI), sarecycline (SRC), tetracycline/oleandomycin (TOL), and thioacetazone (TAT)</li>
 <li>Added some missing ATC codes</li>
 <li>Updated DDDs and PubChem Compound IDs</li>
 <li>Updated some antibiotic name spelling, now used by WHOCC (such as cephalexin -&gt; cefalexin, and phenethicillin -&gt; pheneticillin)</li>
@@ -348,7 +348,7 @@
 <div class="section level4">
 <h4 id="antiviral-agents-2-0-0">Antiviral agents<a class="anchor" aria-label="anchor" href="#antiviral-agents-2-0-0"></a></h4>
 <p>We now added extensive support for antiviral agents! For the first time, the <code>AMR</code> package has extensive support for antiviral drugs and to work with their names, codes and other data in any way.</p>
-<ul><li>The <code>antivirals</code> data set has been extended with 18 new drugs (also from the <a href="https://www.whocc.no/atc_ddd_index/?code=J05AJ&amp;showdescription=no" class="external-link">new J05AJ ATC group</a>) and now also contains antiviral identifiers and LOINC codes</li>
+<ul><li>The <code>antivirals</code> data set has been extended with 18 new drugs (also from the <a href="https://atcddd.fhi.no/atc_ddd_index/?code=J05AJ&amp;showdescription=no" class="external-link">new J05AJ ATC group</a>) and now also contains antiviral identifiers and LOINC codes</li>
 <li>A new data type <code>av</code> (<em>antivirals</em>) has been added, which is functionally similar to <code>ab</code> for antibiotics</li>
 <li>Functions <code><a href="../reference/as.av.html">as.av()</a></code>, <code><a href="../reference/av_property.html">av_name()</a></code>, <code><a href="../reference/av_property.html">av_atc()</a></code>, <code><a href="../reference/av_property.html">av_synonyms()</a></code>, <code><a href="../reference/av_from_text.html">av_from_text()</a></code> have all been added as siblings to their <code>ab_*()</code> equivalents</li>
 </ul></div>
diff --git a/pkgdown.yml b/pkgdown.yml
index 4697d1ee..56242ada 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -1,4 +1,4 @@
-pandoc: 2.19.2
+pandoc: 3.1.11
 pkgdown: 2.0.7
 pkgdown_sha: ~
 articles:
@@ -11,7 +11,7 @@ articles:
   other_pkg: other_pkg.html
   resistance_predict: resistance_predict.html
   welcome_to_AMR: welcome_to_AMR.html
-last_built: 2024-02-25T16:00Z
+last_built: 2024-03-03T22:03Z
 urls:
   reference: https://msberends.github.io/AMR/reference
   article: https://msberends.github.io/AMR/articles
diff --git a/reference/AMR-options.html b/reference/AMR-options.html
index d983882e..afe07e59 100644
--- a/reference/AMR-options.html
+++ b/reference/AMR-options.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/AMR.html b/reference/AMR.html
index f224a8c7..c7aa16be 100644
--- a/reference/AMR.html
+++ b/reference/AMR.html
@@ -24,7 +24,7 @@ The AMR package is available in English, Chinese, Czech, Danish, Dutch, Finnish,
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/Rplot012.png b/reference/Rplot012.png
index 0667629d38927d179b3c353d61d669fd93f54d65..f5534086faf2ec34a27121775f47c9bd57d41677 100644
GIT binary patch
literal 20223
zcmdtK1z1&Ww>G*6r8^}B15i>CkQ77^5fG&tly0OO={5mDrIc7mcQ>d=Nl8gbE>gPB
znD4v4ea_zd|MuDYKmUKub)EOp7g;gaT+bZO827mEd(7|$%JL+H41_2YibUbA>_Zd^
zYZCd3e-<9`>92bOKhByc%FDt}_;3GqwIBQ-aJZ}e6on$9ME+v^823Fwq0XZeWTn;I
z-z|@OcvEj5ORW!mU;S=yQ=tM!O?uWMHLHZvNL5wsH$M9vTN)bMJAP`TR*@RkWV*TX
zIU2bUzS4wYoGE8$tn1fvHAd2~ovuV&JTK1{z*Idv{`P(MT5Lrh_wd!XN|Lt>y4wTs
zhHw5#?lyOIHK;Cb=aj+6VrOT!(nK$ll2cH)$PydDuLSfBD;F7}Wrkc5GKQyJ_-eNv
zem1PHBk_FmtGxc$_GmNt)MnQ;JWLe(tb^D!;tNx*Wmx8km!H(A^X2HXr^PhzRO2uY
zPq#*zx&?%VU7Wi5*Fj^dQ3j<}G<Ex(_Uz>NMn66({H*t@m*ArepUjjx=BjdCiC7)4
zp84RlsvxrBwfHH1dVfB-{rA^bFXH1vpLR>o;gK>m=-Sr?=lgEwEc9nn`JNt5aFozR
zwyrOv$4>u#r6T9(C}3B&Z-yJ#7<Eh>+FY^G#)!PRPeqE^zW&&?*fjCOGiBktj3Dxg
znHVvC>p^a<xHm<|H>?LIe<<=PCD0NEPj2p$69%JD<>Ri5&ibKw7<xeqa#|jp*RJ<(
zhY(Afntt*TqYS?_<kDgyfO=c5UiSDR`x1Uk4k|Avr}?A8s{-f6hy6oCkGtO8Bxu}O
zvG-$4eSl9xL$kMB+`ZmPXE=F)$uFNz$_SS_*@$&NSj<#?^eC|Kal1)_Ki1DOTgJhB
z!`O%jLh=3IuYT5e6xVj~l#e}AkvgVM60&Vdy&dW>_txBG`Dfv|Ls6F{HRsi_a{~hd
zdxsOJF*l#i3F=-xVX@9|Y&{ne@aK<{^U4TKti%qz+KugTVW;1BKO59Cz^ivk-dxo*
z87Z+`KRibHPn@3YhRLOe$+GX&pB_qypX|+8PP|gy`QXsUA+lKZ_ZQ@Ear{_UXFyF&
z9hR7wXtrr(ZG8qsL40<_GL(#!7A4C`O(}yf;JU0;Xf<%f>jbW2aK|iVq1N{gJCTM*
zGUB^qPhGuGvLZ~%7CE}*cGFU)`zqgj+YTwiWtS~sb+G;UiJLzNdHi{@@yl!N6SHQ`
z1Q9Jax%oTC5Uo0Ik8iHAJAKI~YU0OReLE}pe#e;UKr+d@l}DrY^*p{?>8v*}hGPu@
zIIVg5)ytz(4q7Pk3`?^yjkj%gW&3-XH1qv&0#Ji_`jM<hlXwXtj_fSn>(Ylb1}-i)
zumk*$mq<|&5fLbqd<;`z=9{><5kKq1kY~@H1!=zYt)DnS_rSWt{@vf-$=1;yD)c)&
z3DS&{&&kV^E4Ld@!Bk1)S`X#rGH8x<`|e!-JwN~WXm2B1xJT9OdqTj((VQ^3jM47u
z_|IxLz7SGot8T-3Ux~}g@4}jzWEQGoi1=#AVFk2@?635deKU)am1X|wxXZN=fP**f
zcQOwt12dT0Y?=8!1P6~arJ{nq(TIG?f!-jW4)x&CBODYbH@A(tZfk3+L!}=6*}xvb
z+&h?+iF(!$<DVF2ad-X|(d;%FKc@nVUiO-u5$gmYTLuVc-1v?+g{(e@JHg%a%{wcj
zg%Gx59`o-XP@lOqb69Sk>?0(3w0`@Y(>E@M>hV2{;c0}_@uCVBrgGd)HeL15wQtw0
zc=+!He!-+EUk5Q;bFh@-iVt7u0Vi%p(SrvM{2{KV;d%xe(?f(MNO%eH)*t-|(ro2X
zg(t7(*HF4m_>><vei|9k8H0aX*0buu6Ud6}PWVaP?}LD8Q}O-tN+bHJa-Sgb5_%yU
z`nG7sp=Ghw>@k-i{k`!u-_VKURkw;i->$AKW>~T_M5h%LklU3r;*qhmEDsm=4Kj$i
za?f=p;dK;|hs!#w)$U%7x;g%@OHI>I>$NKfAM~8<Hf;X&8P-$!)4g`7Nmt>z=Z0lA
z=h$E1S2-^}vm38s<KrXSobPt)pWEz~iv1wrHNDlR5(*1w8m}J`$yfK&_tM*MKRzkK
z*Cxfq#(L-2b}m8O!zrhIpns)&BBq14nt1+$7jM&)L)(c;q9DQ3`L5Q*%;cD^_hO@c
z5TUeu22n3A$U}BSvP3(4z4)@hakq(RW--@>`Ay@!^(p%6X7`(poJY}@{>nSlFIGP>
zQBY8nhR-a~@KaFqhCjm^yZ7QQZbaI}<K5ATld|S5NWnUxnJM9ri6{Tg#Pkiava*!?
z{>Vc{C@KmHg$C4RcJ`P4SnnE7jt>QFe)1nqV?(-oG5+asgk|EwXnFpOC>%92+1E2?
z^qbkS9={UR@!@Xw&p9RG@t~@zDxozpX0Jqppjj;qJ-v5394@+#|NQ>C(`v(6Jj3fB
zOzyrv8;=}!&s*}{)2^HDa1~G`ouu2LQb$-S;v2YWy_`!+OCOi@Dp`hp)p}9oX??_a
z7AL>?K3L~-=+Jh~Tx9iC`%GgftMAXHvLbCMI*8d&)pWT}wofPOd>}->ba$6$Zm*1%
z4-4hz<OG^(_qfy!+nZpj>`v`mt9)22ydOT$(n{D$>_fIw<@|@pni}!@AH;|2Mh1F)
z!cP@<o__R$f`Xjn>$tdSI5FcUm6XB3!Rew7-rEKSEE&r0BMuG@J`Wy3DtBl+Lzj}0
zf{NF7JqM=}@7wHW2^pN=G;_4<EiQJz=MkH18^25m-F7RfSL1Z$V@^Z{zWb)~E@CfX
zJs^P@KK}ahlKb)Y5Cvgyfz#~0BiLfkEE7e%_Z-?LEbOvvN6S(nQJ|i0jtqa>t|+q|
z4M{%w%>nypr@nl`w_3ea5;C=`$L#Pg+fSJ0^{M7Q-p!-U?wJwme5C}l#LGKt6Uhag
zGg$AJZ~b)EK~{jcYOybK#;yKPzlo~!0cQ|WQ@bS(xnbegzhCb*nraG08SNUc{i<CU
z$cgtkgz~GhAkR<V0voQ-tdn6GvdWn=XDTpx)yw;jGL>6jb3J;Xs~ZWGM$cz^Ks&em
z$ydr6*oPuczwz^`S4Ho?y>@9u$hL|(=_J{5G~*Q}#pdeY>ya)OeXrs!k?Hx_D=oQd
zhK784yqd+4b?uM{2|9{`$Ym@NFUN6fvsbyT@j}kLQf4!3!k1~8h=kD{ZSA-28?AJ~
z<T5rBb^7nTRx8=1qzu0&2;A-;9E`Beuhl@2^TsPiF$ycovQr2+Ox~(iE^-MXPs_-V
zBW4lT3X)-C3nEvH=cPf?54lVj#5|EwpRB6ti-a52aZm|eYrlQFCt%!!JGFZloMAcL
zOeS?-G;hejOKEF)_z^LK;9Z-MlI+&ejk?2CD(k_|3ZnKydHMuC?(^^6;N$@sZ0ya%
zM*1Ef5WsOgJSyQs4%g}pk2YfcsD*#Ir$e;TmH+b0(eDsc+JJ4UfgJbsn>XQSh-iOq
z&UGjAtyZr|3P3$nRa3iY;68N*3M*Qp{D$9&x7RTwM?+X3LD+)_+f?>|czzUSSjpqF
z5jT@d9S(QP#`EgSo}L`HR<G4r?;4L+xpa=$ELj^KCT8X2C?*V6yV*Pb{_^6Z59+*0
zp;nVKik&k2$=G}_`E*(&FQwP+Dh<SIBmzGqd>|T37J5>-hNxu1(C90@`G)l+9fGA#
z=an6&g6Rm^g7AZ7n$~tl4>L@);U~w6b>DVOndi2ZfbEFj;ZAP(uPYk)2JfAR-3^m=
zZVr^uuy4=I4(i&MvW_NZ43GLjVKjkq2{|telB%Ki(MG%Ldz+YZGJ?O{vSTE8e2zFU
z=4i=`C3Cb8PJqA9#3zPoQ|;+_sng1ZAD<$71eM--%)PZ-BVr5MYZI<}@#iE(wp|@%
zKUN_y8>ki5!c6Gz4v;CxGSOtd>wOwr^(KB|uU}AOjHDJ|y)Iq4WYQkP%uX8_zP~v?
ziZ|mp(-t0xM@GmdD}&0^g+)C%Uh|9OdXy2SU+o%h@4K1QB-j~Lmzcpt%d5xv!DH^+
zp)0I+OO*?Tl7;$fTPYM;ipbWMc2+;`vm^}t(<|;L`}0KV>MPHGxQzdzg=5nm?ylJn
zhMv1_78c6lnKj(#0xN(3G9*Hwx^9%_`zWcYs}ryVCER?P;eL9&8*G`#&O{oCED@8W
z_s=|G2+qR*(Z_AXs@mGaOJ#|9tmfKrS-H71ckbL#D8G$%ownuCD!7%9!G%VnWfc^{
zA#)%LeQp%D$L4T*b$nDZ%qsEnk#9XY`%{$p$b1eO-J)&&{!$RRNneJN$=vt11e^J_
zJ35ZdB*I}3v$vs^ax5P35KL+pn}s6};P=wgBO5tE%A_Ui<BFg@pWRY_HnzXW;>TCA
zN=izDJ|a43+pDq%?U5a`_bQU__fcPviz0`*OdV$$4&@^fHs0v2YFT@fbNh!3Thqfm
z`;l&EpQ!TjlH|n^8&5q2b+^$n+v%m8e7nI@XC$Q*x?l!B$FF^XW`ae`)#ls2Jf3>r
z`?-uHyQ1W97N3UE3di&WfyW^}qea{l__#sF^aOZg8CdV^-d7l&{E0^r#Sz3#Vdn9E
zw;yfbSrW>`41)NMOLi4gXCW!D`fR;Oko57?n6WxQb#`~#@A&H%ngsjsdmgToQ_X3|
zU8*s#FXq5?gtMn}8+VESS>=+WzYCXzj!xfM^;_KypE9qVVe?2MeooibF)q~4V~9``
zxuN$4q^q!^qHAJN!4~3S5c+7iW_&^9S2gpf=ifbzS@*1MnsvHFlHk1J{pTx(39KYR
zUt83<3&`cOw9Ky6Pb@nZ&+9*PsQPFa*P+ViB%I>|d4AmidfXNEXp%%~78*^tR(F_(
z<S@XvCNdK`lnt?x2U&aD`F^$&d0AN&v<+~*tY{nL^M_trCQkGD?MEJ8OuO;WR+sIE
zl!2g<qL%CCT&KeBFq8yZ=IcM0y>vGJ<(kCqF8FY%Cn?2V&0f+_Qww{gEUF;B-T%m>
zBaWwY2lE85ZX>GehvPQO`d5zRC@4{4m|fY#I(szdy{5y*=tPmNbbFjHdySdS7<{(%
zMm*LOfIkqhXL|Og-f<**Qv!y*bCI$UkQ!{C<=IyQ9fEmJhWeO=?cN<5{DfkZ%)d6-
z7$`Cmb$!yQ^5x(ObbSuLJm#lTLs^=>ytsgcf)?qXr^F1PNl2xsfC5oQ+O$`$UWF`P
z=&@;5v))8Ru+~Aq){`zzCMYPF0<VDGg7OauIqSUm;|y<nj=Jp)eLq+N_tnbzb*Q9l
z)P%;6V=LgDNdt-lq$r#5DjGUHhX9{ZK_#1CHRpKai2x@Bq;V413Vq@vgbg3`fV2Oz
zU6E}b`U=EK(;t9MXtYdUNy%XiId(lXzYh!yNcD%NHryX*Ylo}nXk6kR%6`NVMK6F2
z7mJgWRWb@{|0QNOQ3L}oVK7v`+Ie_*S`p}Dlg!7%qf~A12tGF6z?16)t}Gj6cu9q!
z66WK}#SKcN83sgLJ}jxLr$?M(+8*_!{ezzP$@T4x1>aBB*ORIM?6$!Y_hzcFif^<~
z0iM=so0*Q|(d~g}q8_KtEZ^4h@bIWO-WheAi55;nqX}=#G#&y>RX$k!4dv+;et?A6
z&g5*oVOw_Qhs2Uqe=MB!Z&&kE($cVH@VWJ?sG$h5Kr9W%-^YjpR-(UQMJ>5EiF5y*
z2n94QupW}hWbh}%_@Z8+#biT(R-wrmDDcxys7y<I4qcIg&NUAm*k+d)S^d#0pQ^q-
z32I@a^s0f!>>D$@FOY|g$0{6mR`}}nuwmO#pi-cxOt@~Y{NwycsWlyM<?ok4qZ=y5
z<r%pd82jO(Gtft#B_twpT<Bo~n1BOW$YL;5Z3T4;cFsn8{n431En+w|se|6w^&G=v
zLVzJV94Sd<9wi-o^-RgW2bMoPzK%IGlekZZa~LIFHYucs{1~|AJumiv`qGMIz2l7B
zJC{N2uvU{D>Efay%H44{R{ysA9v+>NFDF|YbcWsmB#c5AnLZagc1!G{P^&eYT|tY!
z^{f+6v<kfUo$%R^|3|S%FtEgOtaxs3Z@a_lL-=xcG<|z>Rp7}Na<AH*hdMeDM*J2N
zEc`|&1HWSzZ`eoYZeQ-3ks2<{ER8+QIJQw>#rkNwxv=pOjoCeP1ei4QLY}1&8rYYT
z88i3$S{eiKRyc-UOIOzpc2RT`wIrV&nG3kD8>M2ZL^i))Z#_L(J0)aGOh&(#@~h+I
z;-WxuB%_c`f%Qek9SEG(Fp3L7Ll_!OL!VL~^z{L*1!oLw3iYUS*V|S*yw+;XlYi6z
zLJXQ%ql1Q(+V7w*xdl2I^PxjPr>%P%Gr@Tn0@fx`Pdz0XIy!R~9nMwQz*es4MF8bg
zGJ<s+fb$?5noPHZn*ci45jt(<^JTkt?_Lm43P|3S!7nsw#4d#Os@{RMX+^$**ZYZ+
zo$@rmE<1-$H^^=y3omKQP=5@YxU>qwU}#_<oZ^C9*t2KY8^B-bc>~s0*)w{mhjvZu
zy2{B(&hg&)r8_{HWy#N4g=yMJ@}tG(v5-qOno80qGW!KPCDliJdd~aqHM2%cPn#gP
z%&u~l_7KN=<K*J#eEsS18pkpJIB*56&>02+MkyUKC>|2Sd@gP&GVP#@>vSfp0t7X6
z`&ME`I9!I&O)^$VZot+Y0OV%cW6LKxI!k`Nyrd|bEa@XFEgev?T7_wWE4S>iC>iwT
zewA&~>PC_KhKZ_<PU1S-XMm`Vvu`vB^M|g&0rab!6?Ejo`eRR_mJW)a#IF7WHN~Eg
zYZO(j)ojN2ELA~EVbYs+$8s$aNUtzJJem3-CzzmGrm5b{ci|&_+e3!22qVPF$@zSo
zCe8J_<&TTp+C>*vhHoG6orMnb1#bI*R|8Mu`X%<X$HN4SNGsWX?eAy)K_345?(+FT
zsA{ahM)H~OAsLpiM>=_(em&fnh*#Pf&E`qvBpkDIQ_jO=TQc15b3VFpwS1I>Eoi1N
z8%+o##jC=_D$-{Dm~8kxam!p;_uh~TK%{n;F}w0(su<-8Jzma;X?L55v|D{8@1l6(
zV@Knna&vjzRbGE}q-uyWO-)T@%Q2N;A!A@*U<!RUu~zQqK0yGV5!?RQ@O2|Wa(Czh
z&fj|tZ{y>K(rgnWGA!|Nv12f(=+WxDysix_5h*EFAd`-RcxYnVaq@>S$Y-4=$4@CM
z8{Bvm2_z1jjyxSN3Y9+uT?A9ClDax{x&8h9B50i7JB~SMtHH;SQeELAj4IOq*IxU+
ztn5WBoP@BjyV(Ev^8KSZ|0i#7qHXB4pq`zb<>ceDcfDCT+Y$d5uw;U;y}^%;LeoSQ
zSy|__ui7X~Rg7szoG~Oof<6Fy4(pTB+<Fz{kc8g6dBgM9%h;Xft5VRH%?==f`8~HR
zvd|IGV;choTj<MF(b(kaXu1$9j*Wu;knZyRgy$}-H3odn`fh@>N_{9)z^w*VW_9&c
zG<rt#)=cZTk7V*p<Y4u<9X{KLn@tn$^8?~gY%1U6xH;}HY|giC+Heun)u)^)ukCV?
z#CM!QuJ$2`Ma_COQr}o&@$AZrL+!j7O|J_zN3ad(r*RSzcRZWh&d@VdrM9q|n?I=Z
z9IG0)<BWJ&d>EaT`&-;Uc5urG07r44b;drlswh-)_fT42pA3F`W^pjN!eM`+sM4w1
z6}rdPIytpVoOsDN&saacn|Pk>|BEQCy}M{tg?F|5v90brT7_qr<8)$V;HS1`-%?rE
zqDDw{h<AFc&(jEd^WMU|PMnI*pNX$(e7;rhd%O-DmoYR++TEJ!G=PjRpc?pz`}?1`
zk@vVTL%j<z7FnvESPM<#gk~vbsbbvDB5|&Q6y;uP5Y%j(kg=E*gGLu{cQ_^sDg}1T
zenZE!3o@@bK<u(by6W-L5jWowVRG$ZnA~trfyK4`$VqtQEA@9g!-o2cyp36Mul@CT
zS0U3}_kQ1ZG_(E?1!?HhKNYrLkLNb`nM&pRb#5M0J9~KC{N+AF0>sBTF}GD*6i^-P
zz-mD^e+S6WgRR9t2a%}Cr}G)_{tBCp#jBGLG?(5>ntr2(cD}W4W!qE0=V0sgCXh$U
z&PObNrG$UB@&9ik_n-4n|0LA^cfP@Hm{~+MOX@9YKeK{pH}-=-;%-;D*uWdxA!BY)
z3-pCqCU^$uqt64FYIPb#IlZv=+ogNG2fIw$v#a?Z!uui>nFr20MdbevNVWg;%P<K`
zwLl8Q4!EV!0ay!ii2e|BDda-blL0#|)$>dxv#!;troAy~oa_7E5G2yp(JKUOMZYq#
zv(SX<>cu%!&Nvk2wx)eCqbnh>tt<6%?TP(6W}kJ;I@Lr^LxVTN@b9;iy33CE_=@WV
za(oeAaqQ^WJBHsK^x84obIZP$ta4{A17QbLvNlhSB}3B`F!RGW18cjtRbPJ|Q4fB#
zcLs=A!AMu}zf!7EVn+JTpFe*9s>q~1PZv$hXq<I2EsYk>ShNT&<|ZN;9-~7OHuIB{
zhBB87R^%4fp7w=HSrP`zkdy9Gm5)Z>z4+{IOXKx(f@hy+SZYUiF20iJ69j32B3h1l
z0L$NqKMde`yGzqlfrKk$-wGC0>vd{Dq!9i8A?p4ozr&dAcmrr14x_f^!{w}A%K}?V
z108kDq@j+jG@2+BWM$y^`v>(w%zFvBYVWGyJ|STIvnZsod7z;&X!F)Ouk!4x%Su+5
zJaP&O=IbNk{xfi`0cNE@{`82X<7-pos}1`4isSLO*IYZ!9Yqe%*W#c;NEkza+7QR=
z0HA*FcAzMk%r|pQUX3O$PzXNu=+h@{9$huH-zlGDee0z-T<#SwcnK~`bN@IHf-<kM
zg7R;lkv1?ez%W{~j|yGq;^O+Mz^v5wJUKb}l@4IvnQM^sn}gs*mX=&cc=ZlycosE$
z=<%+Jn}E^^)-(Ycc*^GX+F>0*)}7LwIM66w-016yGd13rZbdW}&#eV46zCZF^(UhK
zZFmYUE-o6jG_<tr^u$eqO7cEC``++u>I2Trrnpyow%*SuyG*>H4+L)PHaG3leuMMm
z{-)X%78VX_@_m9xDIXj()6<BRn{w*W;HK@cV*S$55eSloEYn8`)Zd+)rsjMW>`+c#
z-nOacP-fQU&CN}Ua9MIBhBrKGfuGLG&+o4I+~>ms`b1UL$VS~+6i9Jdx!pDSrVlkW
zL#=Wh4X^O>y6VMd-59xqFy_GeI6`~-Nly-{U1FSr|3m6C??qj(QS>1JAi{kfrIKlI
zqL0|9d-8~bF4?T3tiF;#mv^aUs5>L3Z~bdo{k7Fo=V@~v?v8I?b8_{@?RkbjD7TD$
zZT-p9;UvD3;lutiTVL{wK6IhL$hRZWBjC2GhiZsn7K0u&=4xIA_KUkMzT1ibAlR+r
zH5(xBO9M7t9tH6U@BkhPk%x9dOTxm!L<xP#{+~mc|Crx<c;hd8T;}4FBAYeLdDNA!
zN{!F<Q1U5d@cZ+=JDdf!IQ{di%Gw-Tv!{z60>X9uNP3G^5-%-ixo}dpkqw<*Sh@Bs
z{_x?Ii8Wz-^LW<|m!Yr)MdHcFN`l0=n1@};J{2|}7g+F75j2Xr99K2I4<B5NzJ$9(
z+^kB{T;$Zx$bK*6Z{_6Q$|V13M*kn_D*vT7e7eyb_zy3@e-kJ=bgbSgqrMX`gz2=>
z1_*``)#Hs%7aF&78(d+Cz@AFs0em%%30`z+bb7$?%TTe;NHhxvRh4)9E59o|1$AUZ
z&Z@Tf@WQC;yI*ULcI9Fip<>`Dn1&vx(<Ej{tG?c{CE)N<y`a=Lx$T*X?)s2ft;Y)h
zreeH{Oc>(9Q*gOL+1p0;8nZAKchD_C1~`%AZoFoGqr@)uFSAZ?gyj($<!L&=|6zC1
z{b!dOEbTc$ALF5#`TdC>4+)YaW<c3+?s)df;=3y=04D(5we=rooGO`y!b3k9(<AjF
zw*A$>PvT~Weo|C5bEZ!jHxWQzkeMBm(|WUJ+Hd#=+0x_VG7Vj@iiRo{(1zzE6huxg
z^Q6|hN_4m^De~!loT)Sg_M+ivi6Ju^u53tQd%2R(=$FL+@zF!Iw&P@FaevqyH6+u=
z-}*T+ee6b*^H$6CqQ;9pzl({!d$|tpzjP&$tLLESLnboxdR#2^Xi=DJUcT<=BqMR|
zFmk$zReFp0`DR`3#%!uBV?pie-EaG7bjI<oMgM2)M_H#sqiNQ%&QVJ}SlsuizD?cE
zo;QDV0k2*}w!L2GdIb6|#*e))<d8x&wE0obzwfmEDd4ii5uu~&0g*3l?#J16kjgij
zi1<>VH>y3jEi2p4_VM`A=V(S@lL5542#EC?x%NIp#b%u{-5(@IbL^qTs{vfNWK^4e
zJ>-l5>z~a(PCu`TvV0^l(jOA=J#vp?m0|%r*%B@M3%^fr12li^=1?;Gd`U_Q=3-z=
z?EFsk)k2nZ^=IDn#-Eo8^+}t#-9~0iz*gXU?0E!?EFNmiXZLTNnbE$cuv1JP>00g`
z67B&j&<tXK7?O_2B=^n(&wds~FJOYJrrvtJTfC3={Y7?m(cX_FlOUr$2I{&;kjJ<x
zjWa9X{&<lVzHkih3fDru_w3cqrrq>dNo*9zb7dGB3JNUL;AibX(7->vV+9e;sPUQW
z@{8-x3~7~GsTVH-XM08?Pme2A{tp}+KI(doB`lRt9IrlNRKY<3n*uF<<gN2i1U7)5
zY+l=ae7Lg$0ZxFqq^l8^F?A*A?m_s5TA#`jOB}7f5;I0w)z?BRP;YMltJ?%*=E^Aa
z<)lFK1|A%ELLd3g`G*3^zc*ce=9P-1f|l?=(aI;wg`MSLs+qQE>!F=kJWHHC;8EJ4
z3@?vDU)FqvPOoR~J$%hJRE*yq4N6&TMGzWxTu_BBqjPdr7T=4xwE@pgHK<g&423%i
zG%q?-f!(<1p>6AUwcBG*En%|(=NV|3Sh1Lq^c)N`SU6`<7T)R-Pv`Fco}D!Yy9rVp
zO-(PEb$^HkL3a8X5$`QdYHZY)>!@u4zcDtLcSe@C{wxjTB=NAue~zY7A3^zol!ItQ
z(;<v@4ZC%_5`PK5%Z2SDNI)^`WGcURm~6m0bd6<^Sf7sMO9O8MLK_d}>f)h9oEOO9
zpos-`XwygUmvXbR8bE(=gq~IJY3B`u8*}KrLzkMDM+%F8gR0q|OLAYz&Lk&3y8+_T
z6v$3R)+;{?amd8iQJ~Y{qudu#LlJKdlZZo#b`lybq$|m*&B%c+Nq)B4mq~`m$vnDc
z4Mp4tE9y|)mnS1DdlTW?U{_qezv)>^FX=4;At$z06KLEVV%(W{qXNYI#N1>X?fjug
z#G!LRKBfiuM*(P@Q4K&yBcvVprdZbMPbCj_Rsh&j{c<hgCIZs_N?R<ey-I#omVbsN
zfRU=a<|1wsfcAU)*W13vsSLG+Uzs6ughrA0+%??Wp`@mJloX}K1XP!QX2xsg>YULZ
zf)o!VqVoM@NoEofl7*ps!{V8zMW$FOZfn2Xffnj1HdkR1b^c=D3r-~9@fv}!je+Yr
z`BIU$5xffcKz}4ZtNZ;@5mBGvDoYQ!AmldcfuUh6DDaPg;6ywXSSX-dTVWl0mfv`w
zXJ;OkI<ntO$^yc*Rb5j*7zFp`S*PK?eP$!}v>gGn@AQXjV1ED?hLG+YqT2}Z3>2Z!
zCan=Pof+N0y<Ru_em6nL{+IaoB;oG571!zw@KDSEy<C>5uBJ8#S*ZmmhL;6-qbqF(
z+nAM6Q&UqEL-%LNKVL3%#_?UfS{#3~>aY0vAnI}jG-4B}LpBKivAc{7@-a+}V3Zj&
z@L^+5n}MbA=>eL1cwB_{lMmTmtl!ZEgh3|Vowa~Bl*R4Ptix9@^^?z8RC##W%P=4;
zD}8CUJ5aZC@9p4g>UTercRv08an^yK-X`CdoPs$XF8^|4Gt+>@0h{KM$Ti>myZ8Yh
zHc->jmdX2tg~eQj;*xv7npJrFEuC`XviDX0nlYD%7$Qp?caRtp1T87c?8dF?$;NUt
z`IdjxR_lw(%Q}lch^~F`I6GhKHG#@4xBHe8C7}6T1~Rk$QqAe;mU%Crt1K5t+7Mb)
zzOAzOjk{OiA*b`UDA+inQ&$)mh3!CN_DFJz2n%D#)h<4JxO3^lFVbKctpcNfk1VBn
zuyHkVbp~t>dNmc6EZ|U&R3w5ywFe-H$**U5+!oacn({>2S!e*hb#$oy4gS~{uXV)p
zwU=1-@x$fvolgkM3jd@Sk8rFgh6(H=Fl6D@PsBn5T%e7-#BH5;IS=GQ@V$Tos9Wk(
zPcGhe!(YkeOom!takd9LT%TIc?IuVOg}|1Nd2e?91=fM#otDe1oMYhDEhCPk<*^dV
zhc+1T?lc7xfpCM!o6`rfvK*j9Tmki7#8^k%Sw5B}T19gIqVX?eI|@8*OR1}40VDt%
z?!)SB8Vi;fkSJOz9A}(H<aGOAU$RBHffWwPgbTgtNRT>X21x)*TRC1p8l5+q2I29B
zzLmo@@HV5Zg<ilsAe1#hL0R$G=y+HQ#-=?`4GHpxk_My@c;(qPE6$=4+3r;0E~d<v
zH0x9esEE0~J&%(R5q<FHb*?7aW?@9t)H|1a9YxFHO42QL1`id{et>euGnOXh>2<CN
z0qO$8zOw?yXs4Yhf9iOnbWd_#t<Tn-8wffXFqggT!i-fG`@H#B(Wfj%q8P{Bm}Fn~
zc712+-(+&{tzLPQ|369Q=7u;8f=b`t-K2sTp$97zXnTnAG+b<+Za-01G5L&WnboFh
zrEHWR(UgmCE8%!-FAa3Y#VQWUUD-&4dRTF|TI~qg)daXhex<%Vmo0iw)f|WP-BQ5|
zw+9<IY2g0g31p28(BztmxWQ#7Rp94;W#Fgog_R3wi|?(qX$?FVKhd(v*8bI+f<LSP
znC#{8YB~wet%7-BiDRVg?4#Itp8+SeHz!<AfZ{hW#GdgpR2(+be<@1f%y(4pK`T(s
zC>JT$_b$WIVX<mPbc2JWY4+J0kBt&%efj$UYCor2GV~MUiGkdX@ia5ZzVfc7k=$M$
zSGYlR>*2TA?|f^g&R*!8Wzq)q*JZVFQJsra1#u-auGQB=(pa8)t_d4-&MjaX%jCQ#
zx?1r>T=cuYzEV``bE5ohn+qfvSG|W55PfD-V;~{c>`h1hEHK8g18XTFC$twBH$VLF
zk6I<*I4ujA0TEe=c&irJ5l83F@yT40{WR!i*r=NAL0xxDZaHG;#I`s>FF{E!aF~)o
z1S&F#E%Lmor7MVJc59l;OkMr&vI-6|?!}6k8^PrK#5kkn_U#}n6qt6<B2~h^W<#!6
z0H3X=r^g>E*~M|PN2O9wf%LpLTL02DjxR}mP<w0{UV=5Y6)^8q$qxn%h;<zJTDFe2
z|KiWh#H6*g&uM(t3IOZMRPFAsW{@*hJkaQA&}(u3rSWWA9KZ`WHY}+i6B-YM^mm^A
zySMaj;%ANLALtSdOnD837@vQrOLU3BW$S&z9$6-5>hqa3+OvVuVIw0Y9Ttfpx6b!e
zNL*j1mzy*6Re;=)T31H9>Tp9`ZYjUn^r=e!z~HTl9}|Z_02|~B=M*v@8|W#vniPH>
z;o{~7N1)tAN`-1YeUbg(9^JImRIJj{(wKHL`m^9ky}omk5q`b7A6)l<^NIc1%a@ex
z+avdYNf5FdOK|>`c*EKO^f$qzRbVl}X$AbY+b<8i<`9y=AxtZ{+akbzXR<O<N-yCl
zh%y3?4E?ny_=qJJv{=L~X}k0Bs_$hd@KNk+f#cC4(M-y*<a1j*2{3FVBwu%HpLAqe
zUtruQ&IF;Vd`+dJ=%u7%4Q#Q8k_7h$d?68k`}QqyrFyaL2PMz9WOz~Y{AOuZ02us!
zvNlA>vO|8tgDgDP^`0oj5wD}8qq#r(5eT52IacHpH^7n<WR{u8$iUD8J{+^m?f-xU
zP(5JoK|ELs;MO2zK3L;(?R<M34_q!4M}Im5j2cjSPG2t}_9<xYmix-%^_&O*<c5P8
z4$^k6ZaKC^4X-!Iq5^>Z^q^WosxR}N48WtTt7C|_*{^tFn~)I>RimzT^y)CZ|7l$c
z@!3GcO?|EG6oTYDs3lM5zBdBUPF!zUTPVDk^Ooe!$D5jB@X?1gp4_y+oVbIz+hI`K
zytINXlhOdIe#d;Wb8d~pTxqxApxI<{Qzb?6=bz}o*EcZnw@w=$_+4Yp68mu=liuE#
z=!x?>SVhKTH+OJ|i#OP1f{9aC(*I9OzK$WDf5I`oZ2qf0UMjyc-oNk86?$3CH8Crk
z*hn(QRdX<i9@DR`AFlU{9umrB{bs?}bR03A&Idn*zUZ#afv^yBc2|Yo6~n7n8u{wu
z_IHDdea;*uJK)rnub%3Rv!W`tOB(ky;#n$In*EG4`M15C-oDcxAt@)@6QxyOZcu!a
zTv`>Qt6un|CHSYdVI*s=U;cm#YVu#WVJyKqY*(j533_5|FW;$!_<|^wdU<J8%bX#5
zdk~uu<2U4pG$HH9h*7xSPb!4u>5kZFWn4#Lro@E`%f5`3;HT?sgn(P_du}fU8`OG!
zU6o4$AV#bQ-H#4H9ns~{;7TU1ksuyk-Vo!DC*JlxK0eB#($KOX%@H_y5!+Ea0>n`b
zW0g;#wmJ@|YnCd`1Da4)gT4ZQGtgkc$Gt1yOiBT#6p)i?eA(y-hj~_P(z?bqSLVYB
zg^V#p#s-KdsNVU<a(mEPsOoqgc|VK|%gWV`J7c|V$m~PZ#E^XC_GhsrPRM`0J2}?g
zdxo)M37wOIz5?F1SemOEC7Kfen8?;@2u$toV1`(CSH`x3V;BJ`txq;)0on()@_bMO
zV)cJ_)W%Igp(-E0;U$-tF@^a2jg5`Hwn70H-M)MH=(U*Za)W05fjTwK@vb~ZWs6Ua
zih^13@80gm={F5d>ZWIBx_p^qMhr(#AN~QZ^n5N3ytx?`#<}~ChR#C#WT}cYwmtAK
zI_!7K#9BMF1xflM7Y6<eiyj=*z1D^EgX};ch2{zR^7T?Hyu0`xuw(>Gf>F>UkJ?p}
zApXvk#dP`DHZZpQ_$-H>E$#(84vs|L#hSs8>$i{V0foU{r}`jZJ61sf;+^d;E||k0
zo=nf*7lXM3fc|43rUPbtDNzeXna;e#*H-&a=u#$Xy@bya(?iQC0H_RgO49LU)2@0&
z=zan}7J}44FHXUT5)u+3M&_S()nG<|j!#%wVp|O)`m-69mp>2nej=I7{NPCl9}9J4
z$k0y$=|I7tSYLY}C)=Ou0_LOPQD0<qfVjEgQ@lYU{~8nmh1)#Ce>RAE@B*a|v9};>
z5l1&Ei+C79C8L&!CODFIdv22%FaG!>;xLH<eISI4HKwXcRQzbYd8gFlU#k}48AeLf
z-)DljZnbJXZ$OF;19Wo^@Z}vyK!4E=%sPMN?)x=CnP@bivSRb@HdtpH6~kgP68KL2
zW;b5)u-2n$O|{8oCc&uN41E`ZU!iN82IGT5)(e{t9kVjGZ{wgQ!Gqlfvjf%udyxQN
zRJQ{h2?}Iyy`Nu@Olr`!XjKW;Q6TFPDk9AY!cYXJ4N@^jm4eXO2twxlm>IVTLI?d>
znN)HR-;fksqFG>F<y}P7)BS%YSt{NqWak%afS#WYz+<@u#!vy6z0mVoDb=2p?L$6f
z0>}6F3wfmHMNEGW21>M*WMyrQpz`lbAlI-{c*17F7hGT~_0TIWnPD<?PoP6;gE<!4
z2^JBD^I*1mQQ!-u8mb8@Wmp_!lx@t=Xt@;FZOm4LYn>-jqyv{1m4+~1eq<~mBt=eM
z6(Q89s=U!t*zRB6mgM^fHX3<t2O^tD;ec=t%ymVlzp7lUt6f6ivGltP4Zyaf9PbX*
zpKQBgh>;!mV#9=3R`zvc%bJW}f4Q#@9a$^0>Nl_2jEu8DXB2TCu2mcz9l0(tQS=se
zt?f2Td468D>v80?{0n|VvBT@x+cev#pSh<0HV{7J0reeMx&@Ipg8tC7j{iD7&(6N|
zU=PFaUuL!bR!{bDKE8gDe_)I%{J04mXf}Gi^<_8kio)0#_OguIdE4w7#8SiS-LE&*
z)q~SG!#<rG{ay6RQ8|9qwpW5(v{AsH>%xsPGV<)(ch4VZQ@5f!Jd&LnDY0p!&3$sN
zr{7#6p>PotKLgk3zoyqajCqr3sZv8Hg!0d}<ac_|@n@gh@h2Z>dz$C{3({_hWC7qz
zJ%b%qHO}Sxhh1#vXN^Jo<4w>du(2jniba8zCByYkVN@3VgtnTIJTKlQircWZi?c44
zmyQv|4nQH~t|)JO$FKV9Jo6jwldhS53kT}0s(z@3nGNtJ+){rpq2g9O4o-$1mvP5r
zc#F3HN9>6l0;pD$`r~4fP_#1Vp&FsoK-}xe8|azbqXv=r>@(@CCWRwxWR8MZMnFmA
zrgK|+Mo@Fi66zN0Az6O>%+PELLBb34LH{aI(+7!B2K3=Wzlq<dZGj#AnCNVvr612#
zM&M<C)%Q78kAtH+O!kM=D}rD~rfobF3{(JE<nC}%YZp|)4V0Em@A50TNKc%W+PMD{
zbiUf!T7!H<<Z1kG5S;&$LfU^+9R4YV`v1izIF!5KAmxqOZ43(vQ#cjJbi~!Xy9unM
zp(~cax+4uUh8G4v6o%%oyuWc}8Vwhj7H|`(NNiIhPQvNw=^#_2yS|?&n4Mb<oR;%<
zi%nF_BXyeK;9z8QNXQ;!GX#+FgV`KW_&?Zb(<1Lc0WpZ<(9Z0JLb0=uv6CKv{Q{<>
z$UC~_d!(6Bhz3@jg};p^?2rbt!4%IGnZUeehX?ZN>eSRUjl{U*P7m-<e>OK$X=xfo
z7Cy%eVeX`4;TN7|jtdm)nsrLe%EH&kWi8Y(_qoE!>7PL@aupk9T#$zm+sDh%6**N^
z)wWr%KY-W4Thef3wu!A1iSV`Eba)X&zbbq#*syTdu<~alp&YRpQp8}8*^4q^Rb8ui
zi110UGs%PHLG8wd?fjml`M>EpQ9bmpg(tkP`?m#3^Z%reZ*rhijXowg8%Rz<0`VT5
z+4IJTTt-BU69BIfKYoWG^FSeYj-$;~LAodkx-1lKU=Q=405Q&#5xHHT^Hyr$-p~HK
zEgLal6Z3yS>Us*wHmKKH+;dsV+_c5JYtFC@Va_FrI5r@pVADrTQmDh}Pye6#L)Q#R
z^9%IELaXtl!Og~AUUbwVe(ZAn47Mx{U`&K-+yqmQfY%=JW^xjOvl9Q>9aVm4Ur^C_
z8;OYwDF3B(fAW01&;XPmi=Gkv1Lm^@rrHI>I1#4Ojz2k?`BPd<VlW9A1jh6+I3l!>
zjr_z}akCa)L~KyY#tIW=n1}d@>0`QX2o`Y@fmg*Bo0e5qsH3&qT(lCu`fqYVPC5A_
zDthJ`v!ueA=L13)t*mWNxE6r>nE`mvgfM}?CoPYblYxyA;0l;}*>aJ&5YVGx_wVEw
z0&=C&PO8UdfpJO$sD)-AASRPe*0cTqje6<sp2WWlp8hv;|9`%JrIQR}o`)5c@AUZA
z6y{%>^#;dLN0E`X#y3-6p@r{d3k(#q^f(C%^beV%jrv|#$=~2+LsUO2#s5aS|9>}O
z1n9cr>B#g6qWmAIYu(JcG-iib;e@G`0zYw*lP-ZLBtE0@p}M?_KVSQt)9e$QJ*Olw
z@K~Xg0@0#gb$<m=pj8Fau0o%ng@Yt;P^p#-)OQ@!+F6pCZE;)L=bZVhY9^cn%Jzhu
zDxIFzSAxK&yHQB-)miV1!_lqDqn<yeJfV1T?#!8ZSsA5H8XWSEJMJ)7Ys4)5PK!(9
zeBiJ=etMH}R6vcx;HsueOlcuS>7XMG;!#7T=qMYG`e=9XGbINK6XS%*r4pK}5OH@r
zI~Ofe$lYEDdU<L>#*Ao)@h#c(7(<RW69M{OPVv8k6`q_DQWEjup^28GxYKX^rmgT!
zx+;F?uAjHfzes?bX(5}1Z!_M$D%6g9(^q&dWa@8Ca^rtXbp5X|@BQcT`@iB7z)TR&
zXBY!5r17sB4|16jcS&SUFasQH|AA;t+lTGPktReo`5%bT;tza54Is_H0EPx|*NiY=
z34bEeL{{U$cLZJ|z4lqB*^ep_X$>o`x7FWIT&iSAdW1&LJ+axaeH~fYx_c>e`mxyH
z>Zx87kLICk-m2gE-9uO2GAdPTuC(axeY>9pSOK?CneUtkNtr|t3TqNf(j8WHrrKa^
z#6to1OTYWe%YJ4{BKgA3ojc!zX7Hk3-+rXu6B7L_D<`1R#Rr2yIc&3Hmln{^g|11{
z_r7)kIB2S!jd5Nf*uI*1erKPf;G|f1)(OZ}{1-(k5vu`S3)%&wnru5?GhVwCol82*
zF~3FdyBY1pdMje5C@XzIBE{WPCP*rf9}USDZ8c*1u>$+S5e{3_ZStw^M||;jlKUIT
z6C7q(55cLDX)jIj?a!aW!X+sY%J7eNe9b>2#94^B7N1FMyX<}52}_rZUN$(}95H2x
zw{sKSSD!^yb%5i3I_Zl`a$(l#ZQJ1Re0#$*<uW>F)P7hEg(3|_?h7D&N8dK*@FQo#
z&2g{PuCVFmKs+6NJXGCaHud`&$?DTe_lGL|5209uk}@|%&|G!syfI|7|7Vt7)S0vH
z&zt-w5>j1=AF=<*fSIZ)1z@izLA+?2y<=a_2&hmCS>PO#^YxVkz_6S}igI4+Cjb%+
zh+ftAKnrQb1%p2}E9Ng>tccS^7mFu3A3x&4+_$n9e>d{JzwL=??K2w<m~FG#iBEtO
z?%lihKwW)y?>Z^q4E)gMu#W_XHeeS3`VSgHc^5VHJ20#dDk#$cmeXN{x;hP5-nDrQ
zA3khCUFI4&qIQPH4{T-pE=y`^nwse<$&zrC1Ti<eZ-2#Tm8%EN6EG$vTr-XE8O3ay
zfOU~;9(4Ej3;%mcNdWsh1Gbv?^dT>{&y-=7mL_)(A*(W#o+Axq3-a%tf2zho8wukg
zY*JDas>~=DY`Jru+(Eny%xjR7W7}u4Vk{HkD*$eKs)mP(VY&$e=Ga;2;`v}0=(Z~#
z-2h+1t&5b7;zDe=$g@pNP4A+VhFriZnx%Y^G63EUzT_pi9EjvZLvs_2BPeO-Bgr~u
zXRfJWyEsz@s0j9>)vGM^7J>z2_IGbGkc?@_1DN|3XquNRx?ukz4t(Yz3Yjp_0JT8a
zZFYQ*OeTJRd%fN9eW~?O#G3DJbqtK?{51>)J8`n23zXMZFoXTB=t8UKv_N+XRu2&-
zT4XvOihGQ8=ewJaKI@czb9~<#Nf!yif>_>DP<9=`Fea9FA&7ipzss!!8ToH_`QWpo
zz0rU}_B%yh);98QZ;gX%-aNevGEiGm((m{l2H#;suiYggG7_0z5X-|sf%ttJ4DmCf
zAcb~*wVdJAubKoE+)WP;by?-Z@}9F4ikMZB38cap42=F5_h+fbV1V3(sXY<NV`3Bx
zSdjv4Hd~<#Ze2vF0lnTEvI=s5E~!&*nEq*Xd=Kg<v_x~rnPDnC5IfU?Y}4N@2-7YW
zQ?wjHEC8s{iZfN2D7B84sI56VEq6N+P#Uvm@}nEM9TE8A;4$w&>Viz@*EE8z?+g9h
z!(?|VO^f%$*q`$ZXGDgd^W#puV>-&Zz?w!d{2ld%TJ|i_Xi>#|+B4~tk2UVJrP2HO
zb73#N`?RvXe=;?~$1{W(r@`&qymxnbeEwJRZl708=;3;0cQ|NUA-oV~pdgRi$-`dh
zC#L^m=^@TSO-I*kSDp@ogz7fT%*^C>C@L!}VKj_zco$;eys$7Gus*61cYdfwXh+7q
zRLT8taCpcT!M^M&26h1#46cQ(Epi(LXD_Gf@y0a^kb(qSUHAW(dhbnz!qIluCWdm;
zZ<N0&DVZyK7xQ6EL$q7RN$e&3%PfJT%c2X#s0^dWDlad7T|L|xwg0-di}~SLsi&r@
zD(zdJ47|w#NPt!1AjZWge-KxI$3T!;fXGC<TvSK{lHifOJs$<d_SP1tROb|4%7RU<
ze|R`sQNAnFK;_<nr}+M{?*WX*W@To|m&dfvq`u-%`2mJ?wL^j-@cvQ2>n%kkUn)yW
zV@bHLpTGRxq2#w~g$8$}gce8K7^zgZ=TotVbqil@Lp&aeZ@V>Mu`4-1lUks~jZWSq
z8agLzr?*}yo8F6GJp8%ik(t?L21Z8Ywia8vyECA{COSWS`0)A5m)NKZkIl=-$bLnI
z2x6qy%r_YLbYcEcKF1{=i4UmrY;0K1&MypFT3I!v-HBB53ja9kAW{Hx)J$To_sf;d
z%{iQ$oSc=sBe$3>J69ZXwVsNlP$}Bsq|R&G+l69?cfRsJeq$~vmXwqP_c5_wkd)-&
zB5+$BYlN8>$GPw4#)}21sHiqzJEi~uBb21HedkqJ&(ELus?>pWR1AXL=KS<(B+TCy
z7cRZz$US%wv$(L(0PpP`AJ0V_eO=tz-Zlo2Kaoxge~3ZYjtP>n!``|vB<Zm_AKmzv
ziwfW+{#oI80lGe5!*KLP1A7xkr*vTX^yKaBI^LU0ROa3=q&NG#exJ^Wy$Oa%UL+=>
zb<=ZmNraL}kP#*rgX;b9gYp#zOiqM0V<mOcmgZhmK*qyCxTh>Kc`;zs3Nz`_vKDrB
zKtW!2UR;n?R*bFtA%J*~e0(IXUAxvZIGCZBnVn4lmV;o<2n$O~)$QFUmsHLMVqJcv
zpf3HquTUrV`9*>Wzf%dAG>)E|n@c#d=(N4b1E=>}0T%SnytcKS{14-V%mDLgfs3lt
zYzman7(aOUkn%{y>-fOM*~P{9<Y>PN0n#u`Ns`$YzP05H$?^8U%a>C+8aXts)y!YN
zeuaLy<=GjcG%LL-X9A$g8%;UL0IEQiL7~7jc{a2;01PaQptDA}G2at?Q76Wu17rrp
zcB!Y8y?y(9vL9)BZy31iO~AAg(cE*d@C-Ocq0fDhmV8&|^k|c;%zh#!C<yn7x%p!-
zn5eF;vwK+C*nql!^T&@L$n9ffJ1>0tiR?TLD=YNeSX^JB7I)%P-9>ThueO(%b1OUf
zRT9n9P}hl@`M>wIU6;V^1p7AsV;bHD_(6P~&;iSgKEyad)t_kndd$eY1zx(~tIFzX
zMs00va$GE!%Bw#)xSDbQEq3)dOJpa-g+c9!$H6d{cy~Kp(bEI&+5or6kSl@Ny%RFJ
zNr8Kwo}#$Yw`63nZG;#hOdLSHcrKKkovq3m*}Ex}+1MVmTWCKa2~!45fDSAKO~7YV
z;kv@WL>fBh`+F;t@spO^%PH<7eSLj?hG?|eM0*n`+n+rODMF05n$NgLO>ge^jE|E5
z!8tgn0hSRm@Q>UwG&C$wGBiw{3%*=J`Ac3`m(i^29l@ldBcqhB_x=1*FG_(ZIm6}+
zh7J@0i87RuLX`L@iRgG+K+%`4fm@@nz_E#`SXs#e8&So>#H!SVFn9=+<IFDJ>OvSk
zVr7Gtn++eksHo`4Hh`IRU=qlNPv8=ofS(4@&s5=Ki|p6+AH%I7Agl4ipcMWy|CSb6
zy-KGu&(5a+@xHjYcsu4y%7T4?ua}n?A~XE{{RHlz6GU7|_{^Wx?}!3I3n=Z7zQxzk
zs<zy)Yo47yf8z#?ZkbI$`wYP%++v0lUV<2g?8Yhre*AcdD8h&h0ERW6+1mfA2?s63
z2;@lj%}(JBVDhJmyCp%(4DPiEI*;ENkM*ULWJ?q7(UAQp^IObC5hl_akOA37`#t+9
zBfmb8fp7LjD8yLq`3nP^#9qYfkyT$W^<)%kIG321*xpSpu5h4VO3TapK%V}B*(UA9
zy7ls6FUT4)K%O%fP0Vccz+I2Bii=-)OR~cKW}e@_-1l4(8{8aGK;2MK!2M#refa{+
zZgRIgnDdBwmG9kSXMeaw*R$(c`=n4SD?L3B@;(f+QQi@_2y-x3US13z86D-ie*OBK
z7IqzYT<$?#XY*0l)O>YO!Fjrc;964W7DUPOiwbH62FiwTTaERfFqrzhW0t*sLS=k>
z{Pl|$(l0NndV71{HN0nw^#DYzWknqL9$56#aL=sL6>RW3^}?J~=$;Y1+1?bkxLmlJ
ze>{&a?GY0vC&X|%B&9wW(E}wzk&Vt8RbtXgcmNg|)5A*l4R#;6Yg1#lLB3|8g{irD
zANVf9!z_%9{J~sA!~T%B;ob@M0Ue*gN8rLIUEz!r6cifMm<@v9&Q_IdcN7%40Xt`W
z|9=14+xyh4tST_4#5SRwG7fT)%ygB{p-}DV$)T+5Z)Z^g)Z6<RlVqr+l@*djVV%(i
zJ_RRE8lxL517$>DnD0K5VElnx9QT-d1MY+Lm3K4#-8*8)T`(C;@afa1FW<fqzO^ZV
zF-f=|RfqB|_O!{OXNBwv57#FGCmI<#4N;ZxBE)vWdu!zZ<$FQp>QsuFnsi9-6&FWK
zOibLc=p5qCIu_q(gs(j*#mmb}pL9_{3+`P6&X@JjuqQ+2F@r)sh`5Q*;#|9aeFI!>
z-&P~%R29W0Hy*y~jiWH7H*=rFKBDI5=l4(cJ2~gIvn*|FoNB{ZJRF6n?w}zqEG`mM
z8qrZxPl85q+t_&OIZ<AxSu=?64wyk6a*8Wgt~h%{#m0vAS`aS<b!Vvmp<9Q27l|3l
z4-9iS+H*w4jiCyZ;*}P{8J`yrpa>5Shv893tAi}-e#fBTr~sg0{zKFnL_oE^K6P8&
zHhlwh>Pa}=!C6%z$ao-&fL-Y*Y`2x47;;*4t4Y9l{DNT{5yxp<QBhH&LamSzF_$H3
zTxtJa3*?SM8v~k#Bp$?<0ZZMyc~h(0PXEjJhx7P*;ILZ<4b>P1SMT1v+p|($RmFgi
zcgX#WoXXK{$*|!bJ)(m9P!YirKx3e$p<%UTXv=MBX_+A9CkeQM-@J>d=Hvh~5_sIb
z8B9b6H3}Q@lQcQP&Z1&jhwdpV5-B%5v|@}tI`Rg8-`#k5o_CTyaEqg5`VC+D5D((|
zr~u;+*x;~>f*iqq^QK43!I!UJrInPTGgR^Z%Bl&*Py*zzSf2f(6!1f7XpX|x^FJ42
sOm9X#iTxcZ8tEuHBltb!+?f+RbqoKus5K^a<UV!^ca&xGWQ?Bu9}+5OUjP6A

literal 20305
zcmdtK1yojTw>G)}rA3gG77+{(kd&4XQBpwZly0P3Is{Y{lnw=?yGv3<q@){^PLZxN
z*ZY3^{CodnpMQVfIb)wO{{J1mf)70FS?gZ&p7Wa5b<Gv3q#$z+pBf)QkaM#4q#hy&
z#uWNLE;hX4^`rg`e8Dz+AR`4|;lF*!8Xx$AXLnEIDS{AOK>x?+9rr#$5Jp5+>W->w
z!pgW?0_pa#*v6pTt!PU{=i32ivwa;(l~i-__oUA%lRP2$D03srHB~Ifx<9Rdr1?=!
zZ-M3mwLb(8Z<BZXg_Y^;4Lq_^Cb>;spp*Zh<L1gst5@&7&F{9yEe6RK4=1j8tGkLY
zoM$M0_ilH7>z&-(8#xy4Fk%VckdP3;*Vk*Xq@<+UFJp6(ki0xYI7M_J;%@4)pj@BT
zc5$q>10J9C$Pc2r`|CB6$2TWD*6WCDV?!2P8<92fAOq&3MDxaX8F&}<`a3Mpm#1RJ
zpUn>Uet2N)@+>5Td74$9iHQkMPzNc{siBzM|L#JJdxq2P_Y+lB)uBG7m$=@)qmxrS
zcGm=^14uU-vCcEo?$rH!^<blkfJ6W5>uaCCeEC#0pA?RTLo}6FG10`|urKep*n76&
zaD4s3NO-HE>r5!CU9T)_YGEO9#f19}zfbz%$ArPnm78reFQcRVRTM?YZ5xiAOWfk<
z{S^4~GXjV!57%n!4_7Oii*sME7U(t5!$rzA8Ko-WiYA|jzY)9nL>Gxcr-kasOOiqQ
zn=`HE?L1aPoUdbJM}1_NNZ@sKHtdvNPHz^eLPH{P60iF%FD;=Lm8)KaxxKypmfu!a
zqR?x%W>WepnS_SMMbXovrz_(%l!JOcbt2<D@<%7T4ei`r!v1k_)Xy2j=>4(JHAT`1
z6`J?4yngd$`n=B`R=Lf%1;^7->x$`;F45)~b}hS&sXGbY2a8l<-k#xJiG0@7)y}J7
zOG_3<tF}JPwQgH+ousFcWgqNYF9tp9?S1IDK0&7_y3ef2yWPic@#AW)Rs~UifB%k=
z<v{Ky^2gd34U^}Qz43MLU^AYud(3{PhYhFAuv%|+gchGn;_-X=N89Ka3*Kc)n+;l!
zT3TL~*40hQ`uNeDFR#4(5kmY)zuSAIJ5>_X7dKEs0{2o|6a&XVzK*5hWSvKaU6nQy
zMfh;k@zJ~(WtZ4#?KnL`LKI9ovec6vytmtMnpm8?Sue#za#&Pcd<#RID#$>L&-g3Z
z=332q2HoS@NshWduLM?0`&zQqavqj@yiY#*$vX4SG^yzHWT&EmU372C|MgbG@y_Us
zjM#y4$w})udSP|X?f%C*lhbzU2yupad1byP^<|Qt%?uSUOrkTGLxl!d-W&c5Q@sy3
zTGOLMEqt1C^7HR95*Lb%V~F3mgMmzKOgHZswYIkIH1Ntx>gwt?vC1|~+McQ|Onvf4
ze8<ML50&!rm$S06?(IEsdk;(hXQ2nHI)60EX?>zjem3lIQPC$1eoZbxfNL9Hu<6@7
z?#*SrQ)&s^m5Dl<!=2S;_=MHPcs}c<53#yoM@OCzN(4765o2THi-We=ADrHNK_iMa
zagA-^lRwU^&&fPw4jO)&mTQ>_ey|5pAj&`K6HnVw=@w8TN-8Q?$mgyuTNSOqz(81Y
zTx|bto;<Y<HC5F{PC}2WuV25GcD$#4eAM}ArZs$X#Ij&I>_&bgd_V0_rMV*0;C(!`
zwO{yjUIC5V-3bp4GHHzNz2ntk)8vTrVn@VS*o3~Lt8IEGzbTJ4qkQBvx>lVpQ%8*W
z@E?2gM?3ZR{(ZU@U5_6<3VN*P)lY<>Gf09TsINis`}c27?;}@XxKo^jSUqNBC8k|%
zzhd>0Ha=GJ!Vm5G)gDiu9IjU=YG>!=wMw2BdA+k+<mTp9Ips&NvC(|KnMXdL*<kEx
zmxwj><Ae-z*M-zzPQw;lxwo9D!?s~6RqOSK8>5pa6b;9#w)Swe;i&kGPzYvN*UE7l
z)klvEcUFeYEhAuq5m2!C8f%0|F}ZGh!Xa%-fXKduMz(Aw{*<WK0V6Gu5yZ#FzULlX
z<#V5-Sq8fr8nMp>+Eo``-a9j1?IamRFY*G?Ngx5Gpv6`orLK5^Zk^rI$IPbrt?A;9
zo6XXcI!}CF$r-nXkq?zwQer+s6ogiJ<lf!-&^c?dlwY&fWE`s#1Q$a&ZCBZPqL?In
zacjP-{bOcQSiVlpNE8kx2AfVbS^C`w2}a_^?Lob$<@}nP)_I5P4GcBTtA1Vc%@F>f
zMMmu`a*7rCn%wB=KV$0kdVQIRDb2a(qbLR`2?^Z|szz(FP^pxw_j^yhx8f&h`MnsK
z(#oeVnW1TT5ASVA$UV$|B>KNHGgTwx{tKMGp^&Wgk&2YGG|bC)pBLKR<b;ejtRtBH
zHY3#g_~3RvX{Z!>z2#MTaxq=leLP%tQ;ig(wZCGtlpa4GTsuxpSL}-~r0v8fAn4P5
zSiznl_s($gTaf0!BBna-vsgXvi*Q_DxQyHL3H~mVUX<d8R!XPGlcy1x$==iuA5KnA
z5Bc(~qAVxtz3^PvdY$TqjjwQ*`J8$uIFFb|9{${P-Ixw$`1=Hcjt_T@VEdVmjy3p*
zjoI)!Jbk*_ez3hfXq7nF-~XwYZJ~N%C2k0I=U}HoMJHB-E&lJVt>}rT?z3$X0=r{R
z(c*ATC1c2?MzEM;^YoQY<R4p~Lz=tKsh-Wu7#?i|i^)}<v9Pvgzge?#>*vp(`Xi<0
zSp@}MW>t{SXyG7`A?VSctxPtE9fzHcq}=hpaFT2@Ud~L6`{aj-rLlYBjvQUyvD}XK
znDeN$>;A7;x_*%)$7<xHzrZ{2S4ZqD+-8}pWKD6rmK$9@C!`tXGmuc(b<?ZLoL7dP
zog5!xi4RzsULTzuDKf%YtD2{mN>@H?sF?JwkuMY7{~1lR|8uy<`ol6B8t<HwD0N*i
z26a8Gn~XBd)6&wI3=-S11cxIF7mXIn-BP#~OuoH+HVOF?&-RBzD)D!bU2S1lh^(BP
zW~edY(%}>szT?4OhdZe*>k~VZ9JLz~5@LRz82M}`p2NbXLujDe6Sm#TVqb=Q^N)`z
z%350CP;0cGcJf|iukhS=sQvx*hJfcDCj`8pT%sWFs-Sf>ef&wo2d8+2a{uBw+P~K0
zIlYMBGz<F=%xf-}Y|;-7+#wysjsFqJPe~D1kGT>+EYZhP1V^)P!eb4YZVnE&9xWf<
zGLK`?_1-sDe)y0nhE0PhfY@;Ud*Tcv2=c0`D#N*N@6w<!X?v`eVfsQYG;9jMW4aI;
z0(o@Q=@t9s0AgNVUc-g%R3<Wfyh{P<MTUWurzeMj#1e$G0!n6aEcp2NEvpriH<@0B
z=oHk}YRkp($nG6`r<%v@K{kqxTrL~bC9QMcz91PyNTOA4Wxnn12`Q-sf-YL&a4DzY
z!okLOp>^C#0U@o1GqABQK#WqxWrV^4T?!zEbXvG~yzawcQ@eThWqkaNwaQtdni%uA
z8Nf6V3;j8<SFc?oLF=A~^>kC<OlmOw1(ggrlCx*e&a_hMky#GrTR+tzpuAZc>vMX%
z8<=4Zi`3KL<Fh#zZ_7ewne7}v+{8(^*_V8x>bN{0k6zUgd|t(2q5W)|i8bGLo~_q|
zAN~DTga<Me8SM8qrr&!ZjD|((O|ys;^96JJcuI*70*+dxmC*`CG-3^x2l94ip=^;h
z2cK80N+6a{RZ|OvsLV{v{K!$iC!uZk=`2)!iPRSxhsQhR<{B~ZRrYYivFdW3R)vDL
zeJlCSq|2CnuzH1!POsanm-WcJ>hhzI9|f^OYn9F3)|PQ51*hXRF5#i1tYPAejNiph
zJvYCwCJ#B?8aBo4*&F*XvRk^dot&He@!)NC^2ZUvGnhM1V=Y!<j6;);S4`8iDr{gC
z><<<*GrevG5YIg4{(f)YQz=b>yfL2NR$-rsg2~<=lQGF_N5dd4V{ay$L#o1NJivfz
zr<799v&XyVV$h|qu&@?L!BT7#r0D9pw2`vN5x;r!MgsRGapPhPiA0Fc@v@%b(vOcb
zIR*6>Pz)Pj9*5_}E3d+)S$a?SaHV8t5=sOq)M+_aWoDW|sISs+v}DiUp;Wh?+{+o9
z-Jeh9P*p3Fyg%sVp+iU~2<TUpXSo>wLaR}f$bi+np#6*#EZ5@@K!hX_cUvp!x7n4|
z)L<(Z4&-Xg9Pdt2W|)WB39z9{WWUgTsb=E6Z1f7{5*$Jrc4hpiMYU&wu?D&Y$jHc;
zb<Ter39Z-$tb^CbBdw<P=IZt97kbQ80h$!G@?r33`FI`tDRN1R%fM@x<Ondk?W;91
zmy?~{qG6hderQJwJNm(ReFb$pn)c1-_(S+7TqReAOIR0w=iyC_+BWFa0>YLEX=|hs
zad&L`^YXF`i*@FrgFR#hQlur6HR-B_g~hG4=9driv@Z2F=xX15+_d#1E`#c}!~3k<
zTr#+YVPW`CMZ^zpe|1cLX*1bZnkT1sDu4JcKWei)eurBpUVit+$ECHQB1tsCbRHys
zcN)}TEw`Oa+B|A6QJ`#`ZI4pCef&AaqPl0yp@V%#sOPeaE8KVrZqx6jr{!!9&R}8~
zP~B}JsxU_~wOH0D8}<S}cXpDW0{&iYKlzg>777R-SH3Tx<JSfLF*|=^iI6C<6ZLOz
zxh|*M^Ljm-o15eF_>`|(H!^Xt4$vlEA6v%--GYi?8o$bCSU6$ONhn%P){o~O0<sB%
z&BJLt8CO3l0x==YNkyjTxfzJ)?@IRZV2A_$e~f!cN>(<Mu1$hxO-jDcN<~XP7WN#k
z<v_^O@3&=K>vSOxzQUHPb{0MUqrzo9QX0_S7D;y_J3Cv--oB_#H?I6*>`mX<QDv2P
zXY8u2PZl$iDGKTjvd5j1MZMzcQnRwNFZi4uPPU?X>}K7c-hlct7T;vo8NAILz2mPZ
zHMzOD8VEp{Y7K;;N?Qd&O6+vMYbQRW{9c(&;Js7#9v*gs3D~?W<0d&dIa+01_bS%S
zJC+;F#rn3nL?<p+d{DLK8!vdDt@Y>;i-Pc`6qn1Ib`hj!lToKzu<B0`(<~J)98c)T
zrr{*M?+Lxkn2f(3_G;t!Z8i(h@#hANQr8)kYU2Q60EXwg%Pb%N7#P4b6TUr<c0GJn
zL%z_9zzLx3!xn4KU~lECaYYx%<vT70^T|HmO{HJI-bVoeq<C3NpQFuof%V$0jUl5b
zgCAMSh%dWVIdfgIJ=E>{_wT<*PCkzmvJw3H^$Rl7P_@$yUC+(dfc0Mi#0wD0)YR1Q
z8&Q6Kn25NfBv!T4GInf7e@1!S%?79CN5ZE^Tdu2RgT(lOXk&&ZyUwK#7B~n5U?il}
zVIP2-aHdVa91H+FDv@1D?aUyP{`BIKB)lcAU%vdinp)uCviw`I3!&m_YG!dU&X8iK
z1{+Rz?>~3|9kww2`L7)vMb4`u0sGaCi+-?&pqou<OqC2SG-{80KdUegfak84msitn
zCG;g|9g4T!g73^@Ex-P9n11!(<|nv;ic(B3AMNItC#q_?*R`}7a(O}w*p_!vP*7l+
zjf-9$u4knwIE^`QebUfd_D*&j5U)Pu_Jz?3jwJ5`^XF7tX|2aI<<_HiP;W~GD3+eE
z8vOeCa|%VR5&RP&+1b~T2%&Y;BsZ4D;V)34E(8z{m6)DKt8s$o?=P~;MASUE1+~BN
zq2XW*XbdC2VK?D6f2XhXwU@d1yZIy!qI8+4HXH^|-v=CZWYE0;sD@q}{s4n8R%Es@
z^+~<Xofpnv?g@FB8I*Mtp{Xbg@|=TKoZfpgTrZ`%ni}b@^Kd~CMyK-&J+EzY7P+_j
zr*$sty4tSOfru}?h`atot(&a>0_5o?sF?{HE=O!D<)!_O`w*eirF{yL-rk}_^ui(U
zxJ?azety|`@FJTIS?J3=e*%r_Ws2}iv_!MeP?C7>cj%?%=6(~!sy2_8sXqGMu?a2F
zmBg5D=lI8bQNWsE4iRbqAGbHLTaP2H+-tK1iKh+HXP`Qp$vRI*N5^Kj<arFUBfN2_
z2dgDfyKCd&QKAP|4NMb5ap+wU#BRNAmqmDO_t3uWqN#p=wi>Yn`ZpD~3865(;>a)P
zxgo{cHWss~#{@!>(1$47aiIH9SxE)W_lZY$${p9^?ZM4YI1Hs!x7h1WqE|ge4i0Qb
zx(5D`h>!3^(JE$Fdp9sp>Nt`BI`a3&InUxH-~KKm6t>V|CvRCwv#6zMsIkV3qR&Az
zm7rr*x04P^G0ga!?)n50cb@ORsa>f=Mox}q$q+dA&-pK{hM?w>UzUj^(=B+6rsbW~
z@2bHmee5M(ht6EiE9x~I01)%N?rqf{u912-=n+C=j`ogZgE}sWI_n)A4P>OO3S`y!
ztO)^5KP%&|v$1_!C{!9l>)?t~-&U6xl%pdBg+89?ZTD8_ldn6kPgoahC7&M6r$Oso
zseKbI8i1%!tfXFM@kYm^GmiJKYpDBX>%B#TqQ;@gu2#h$&05zYuOXh3UCV;HfjQXM
zdXFEo-i@Ta2K{GCm-i00{Z=PGYr<Qy*zClNKJ-PjZb6Qat~sCcxWHy$?j^L4mu-M(
z2xyNyN_yDGbEsr3De1ol9L-hebfoXxc~-evKDt7>H*+jo-Z|;H)hVl(K_lu}2^%D;
zknKV3&WPoXgK45ujCz%WaZ@cjonL--_I&}od(c8TE+}~%z;15|z#|RFFgKiO3Egq2
zV*d+C_f**Gy^M`zMUk{Ua6cZJ)zO8oWGig?>U3jn>Rb;C4<}V<y3WBt`B=y4&4zm&
z3I`z_y>|+@cYL7uSK2=P?47Y>l<l2ivGp0=-0uauX+?4n#iikt914fpxq1z{Y}%Ea
ztHOU6+E-R_qlACT{dk$*aN>Tn=F$KiPSQ#~vD4cx(X2-MzkiuW(f9iN-6}4qPGVGG
zH^+vAM4Gf)A!zH_`5#+JcuBSqVPRr=<%=OFCB=Mai6EWccqaDjH@H$j$elJ06PlaL
z9V|7@7M54TFe^qA-yFJI#6fFGclzz?s<R~Sw5wHiHl$Z$W2@@?X3pp77VvMDx^L!|
zi`9{4JWG|4qpRf{(+g0&{nD;Rwr5<$=aKLDI#j%0ZQVIEvK+K4#lFacVWmL<nf_MX
z;Ou5fYU(HZtAOecn+_F#Bybg`Kg=Lh*z*((khs(?^gSUV;Za_nDv!J*Be9(}j+yo(
zbfu9ljnH6l%5%^1TYZFgK%H(kQXxD0OdKgID~p`e{y9Gnq=;a(Jq7|lGmD%1>%8Z;
zQZq8zl<6323bfSJxaqZyoD_caxZ=kBuUqi{dEGFu{)?U+eZz|~B=T<hRd#l1b93{O
z(Jy(LW%!S^?axxMslWK+Y{f3m%ETl%@PyshNvHkmn;WoChXUFG?kQ<#ghJo<X?-`n
zwzgKS4_JUm=`|}#)&3T_NyzYR&o5%Bsd2ggF<Tib!h+VY)2!N9<1M!-5t0H;;#(f`
zhizUEd)-dsJ?cF2SO@?v87Eb>!0hbEWh8>%Wq02*(pGcbx#m*9!cY+&srb@mT70=Z
zFU`1gM*Ni0+Ar1PHd)#DP<9=Xd!eMm9}Tw&-!_^Cp<fPFQ=6_+&O#oGZG*}zM%=kn
z4@Itor8O3^nd#bo{Y5VQETjBLS4^uwt77z=v~uxIElF8yF3!fwxHUO)Y4h@@*5>Ze
zqa%&;TV+cdrNm8}(^i+HdPU1VDD<5Qy@@E|&Ffcodi{0&*%Z#TO#V_;@%3{(TbUPk
zS!udPd&=`m`ZEWtqEBs`1wEA?_sx}mUsU!x3`*=-s=wV@P_ke)xQ3zq@S$IS&f|2S
z(-YU-aThMny^ZIYIoV+}wzVXPJ{2|~;88pv`R*}eHgnQ$kFW1aDw9E|$v6RJ!6W}v
z8waV?<!GAbl<RX;l~GeukNH)p7?<%0VqUe~C@zvuprg3^#T}uWu>?T|z)}gBo!f8~
zR#NNV6nsc_7IOQ!bLS!@@AUBiF#v3;j8m<yZQJPkzI65sbCVyD`OCP$%^Ggw<#TRZ
za3e-8Tjb;>oz>CQ3<ETe1>NN*=z=hit2b}nRZt+xkdF^SNzK(!;Hap8ol?A=7!tCe
z9^0?jc;j)t+`%4n{9H~;s)x1(gW(ssP2MLcNJ%;7&aVH1J^FtYy8k{${8O?1-}wf+
zj<v=ji8@nkB^QB39s==mnywYxCYZVA{7)K;q+~){jcW>XkGA+Y)*q>{F}PvWXBD(Y
z@zpJ7aqRkRIVNbTuVi7rR5?0>CcJ;)Vp96FLm)8DU_N_3r=~^@+-`NgkcCPg5Ar!{
zyf95%z^nuEVMhv`v@-Cu`Wi9*1Jt9W5>ILsRFu`ov$IVeu`XaUeINPyo({Hxni{kb
zBNJ3eY{%Kyj$f{Ht^3E`?Y!DIDFJYf*_d*S?+Jc=VwJtL;#EDm3Jkd2k^32Hz3}?C
z)0L5f%bg=z_kTP}Wbq9o20r;>XO1~F1SnziFhM^WzOSE;s0Bvvot5j8;_-KeBSLP~
zkIP8kad2<|+84-xbiuzPxHM8YW6{jNgpJ_bJ7LOf{ANyKqF}nxfy#Vtuamye26OyC
z31XrO(u&at!2I`GJ_%jq!G4ipelenRF<zvPhlCItT4B0=3}1cDkf0#!cBiK4LJ{YJ
z!R1PNWvvZjp1<U(|AfW--#-rZ(Te&X%IAL)O=GL$jlj7F3a!`nog4yfA_X$UYD4oh
zXMXMP`-t!0aw{Ou(V7Rq@b;E@AU?A+lZ}x5F%V!dg`qu)>*V%2aFk0DuBxk%fSvrq
zY!`_n2yO<h0P1OH20IYaKm;_uzNW&7ZhQNVV!NGTQ!E4}Ni&n&ug~rPr<&+;U@4kh
z(CS8%bDa&x8Y<vkcsO@lMM_HJod=;u-ae0($V|I;&4&Ed->+I%j;}o*!9b$g{h`*D
z^AAX6SeL)g%DQ^P35u?bjm;wqH{m3TdHb5gRTc;?KsnO|W6N1Y-Fw=qHHkh?V`5`X
z#R?>F+qXkT(wZ^%#$6^`eU1lxcs+!@hlY#UP!b&|E6J`T5ey_OZ3-w>obElQkNNrE
zv+_V0IOBikZN_3&7xW%sX^dp}Wx^%Dn7wHxQv$fD^gsn#T3R9wZ>24x#61Ji46#ky
z-@|hbej7?X`}Z7~bi3PTHz>l5OV0r(3?hpZ6Hza{Z~ii*Wgt?Ys>&#nkx@{fJZ_}R
z4!{P`9767<M=rs#0N(g9I9MT2&}Yp~9g$XDJ+fJjjesVXm1pawWhtwpLzi9FX8p0S
zu-jfFt$g7HLLo5)%ul=9d}6Evy|i+Qxn>j5ePuFK0R6kVSlqHv#Kq_^xY~C3N;c6d
zp)<zZr-ZlM>PIL?vMgQZbhNpTvGD0)OVojS%$qlgTEp%WnkAx%Ar;XPMOrbxTvy}|
zrI=NM6VB@B>P7+w(S9NXQpm~CKH{rW<D6PrO7>XS?FulW$BO{<7SsnWCHunahSz%?
zj`(=g=>k!Lg>dROB8SZEAVbWa^}+cUQ{Ug<@IQ&}e~%^?UW}4FoO>Os=li?M>00LC
zRr~<rYm>J_k8To+d0`H1lKh~gSJYtrvwhlEhehgggrD|!lILl6&yqg#a|W9OnGv_w
z1;AX`tcjg5rQH4OJQ%WINjQ}*&qH`-`JsYBU5(ZI1$ta0jQoKX>*Yt^hJQ0hTsgBu
z*sOf6xw!ZT4b%Og;FP}wl7C`b{`(XEr}i<`L?+qdzj*=vgB<fOei~FSabO^xK@K<5
zRZ|0oLHlNGI^VdBOWP`S80K^eJ5+@6<-kRUPYz0~6M7H&^aZo9km`I%bAuIt7*I$`
zBY(J?cFAO{3V2P-j=>wPO`2vm1@cp~uk*<Jr(Infy`WH@b{7)-^0tIpVx6K(l{Vl%
zyPCvx8$dFD%!cd}_l82AEb(Bl1&H%d!-*t!;WTsV$9-q|{LA5v^6PIS<O(yC&;W!;
zr~Cf0YBw)n4K~6-nmK(b+Vah*0l=HlEykQ>?RmS%mx8(wzPWnHw*PVf1?v2RW==+0
z8&>)#*7Tx_LDN}uh_jHwA>jM8o~wpMZ)ZiN)0Nu`ED^kAPGVeve3>5<P{y9MQ97^$
z5EDy05%#GTd{-VHVYDA(e1`;cQEb#vo9@yXDFUOYf_S-smwj|@8C@Tr&x<9xBIxd*
zYdP$Hn4GXvWiA98r<lvRqqta*kLleW-QP}$f1>o<$vmL5E5BCL;QPB>FEfFD|6n)X
zB5sl+Y}xxvkFC<c;oZazBO%eI@72xM0650&xMceO#@|SPHfa-;Ptv2jR7s?75T`^$
zCnq8jO|4NmL+s>TW<sX+vRsd;C}@<V$3FO92+dw>J3gBfd8h}SAI^cOjWY`@iIk+I
zq|A0OZ12h!e7^i3_B1s~BzUY<RRVES2q-^tiIRk*hl|}BS+0%*rhcYwccNLIe>?z1
zxj@0TgC}HA`51IaL6$Pt3o*o)sKSl5*GMCzuc(HjUmU0%W3=um>NCkM<u`IY*`MEB
zNROKNdZVBP#P~4aZV&`Ib38S*&6Sca=X<Q6gFgbA=rngI{KfDNjm7g7Wxp|T#_+nd
z?~K-n%jyU@XfV$*%<-abg!vsD95}C1ktmyPj%8|Xs(D$*$NH3w;%Tg$bD}Ume+R96
zW)$@dK1W;#W21{DoQ8D_pRc0W@t^1PsD3&iOVb#a!CONWoOX3}<Pw_7?u;N{+t}Ld
zkzpA2S%>ZiBtOet1rieFbP&UgPEU@nWd=)Js{PaZfNtor=|6}(lc;s@d4R>@W%p&b
zUhEApR0N_5Kak5<Hr0zP36Nx6e}7>W%C?22s3X7eXexk|TCw+*JSix5>>wLE>a>Gc
z3aoroqL2%4Ojp=qt#mcwf^vwN7L6lSM7-G^&@@6P)(S$5J?aku`KJy29w=8Q)k$dJ
zEY;N1P&Vgy7m$HJD8^~^_4FXHvL?AQA^MQA_x|)LlE%pM+RB(ySA(Jj>?)~X>GAiJ
zRswq{QiL>ogrN8Yk0$Os2JG+}<O8*xZAxV7wTi;0-@iIg!3nKi-nF1fp>7CuzW!Pe
zJMd0`R>wm4Y{tw^i;aQqqT(?lhRg9gOQ0XeVpH{t0+msLwL+-H)Vkt$32xuM4Q>`;
zD7i{deuhg-)Abs>srYSZL7haVKuc=@jRQEpU6bJ0!91-&tCPwn*0edWtUIft&}-R2
z-wuZyI)$5ZxZL}JfQVK=|8%^>RFO@i_zYMgDnUaB_3JLu2(jJ+2MRD&>5N}evIS3$
zNmo(?@L+PuqI9;ko7gu&?F4bmpgocf@#UZNBz-#n9Vq-3E!(<4@D+9Bmst+p6#o7B
zvU;f*2{KjGPT!2uoKua@OsuoBNB+mDm74bzn)NX8@bIM6*H4^8g@lag+1qo0h?=nR
z79bg_;>X)m;{j_;<l9DCrT{{&Ne65E;PUni$guvzm^6G=h4Xa07G%H@7rAYjfW(6X
z32SgWK(8K{K!AMY@K4-l9XD$T#b-H8AmisR1Ivv}IaEEIkmVRYVlT62yHC>?e4e2V
zj3d3uUYD5CE`y%=MYOioc~x_vnn-8R9@s}i=<m(U%)}v><GrNcTIv49h3dNfBLB10
zPk?itzH~mB-<BQ}GCNSOjo{W*f`(S~<jVz=I3fN6+2c77lZ>paIMw+^01Oac5Oe=5
z_TiM6bT+9y);WtTOw<X{yZwA=lKf4jlOZ-c!bo|9!wD5BX5T#4{RAE5{-GXN6F}#%
zJoPx*+XS@KIaf6oXBj6FV*ypH$bEasB&sXnHYvypa;{dN{LZQu>OVWK0AC7fp#oOA
z%^P$LLP~8r44^rq3v=No(95ngJh*=!;Yk`3GX0)lvK9OK_0SgWa9h!JYXr#S{vFDn
z@*J}7R%EZhZvO`9P@i*1`54R+3R$+3^}vl6tk^i-zc_xrG9x47@&SsE$L<~Cxen&*
zycKr41tNe=vcyD<i!FG2Y9s|^q<&m{zC4W6|I#i#*5w+zH$|F}(g>2oYe{i(FxZf$
zm@K+uB<~Y_SIV&#xTDzZMS_&oSY^j5o#AC-Cu(yn*XE#ec$qH<E=@VuOI~6MBb5-(
zb3MbkQ(hI+KYtCWUvUZ(3@mLIfm;@BhgZ@W&!1jeS~@Nyjke$q;KbI(s(=6rG@z<H
zIauBVJ$k13yqJ|57WDEci1Tf`QOKrSTRAM8^C++B)s+W!J<^oZahCbhwvnMB3vXlj
ze8Gkn;j}zpFj{WSDUWV|!2IPrn<oc<7U7B=dd(pZfO6N8CLO*3c{`=HHX*Z=6e<G;
z<YRD~1sU*o)Git<%ApwifAkGM0?a*jRzAJuGD^w5em9Cff=<YJ2qooE&K=9F_Ub;k
zqPQ&-)zrYUF|*s>G<#>Orwq6Yr8-@zu$d{c=WWXwOS&9#u>_AgN;2PH#Rs6lChxzP
zLewq5*Sah(6b1ZWcJ@X&Cj*kT{rx+`=h8&0#LOw@8g7R8r4_b;fl|_jNE<===_fZV
z-kVd`>K4ovRcYUJt((XllkWr|6IFg}HCwqiB<K&ReHPMO(K;R>0#-nvJzDx7>#-M^
zzPrJ}0l7g4JWYE6?f>BN7b@%23`QPH^^Iz2!~`05#FV+uQ;4m=wE;sLhB_%syOMVP
zWVn1*BKrVlnwg5urNIJ*`mMxu1bIFf+q^e9_^@0f_Pqk;IKgQ_vgEf_XIdykpFS){
zF1Jkb;09w5@?e{?5n$w+Q~#idbj`}P&{M6u5|b_H9(}=9=8Tx1lby!b{ci=yr;b|L
zIX`V0)n1g>4Lt8$9AwEeXFX|Sq!XF@Gi>XL<?yq0Z<MKzzvW%GlgM<or}YPO&G^W<
zFNKD!_`+Z%L8yHKiyeO59|Hz^sOl*z>I-n^l_y0D7q}0xn>jb2!*ty9@{JF}SpmyJ
z=ljE-sxBs9-_I2hkC<asE)sNsA_ev`acI3z?eY;n+$tV<%kpB_hlTFj7Jt?!89*Db
zY0A`wDi75k6CrFa<iJgP^ca)eT5OiM8V8yzan7ONZ|-Rl6JkFb(ag#l3yFL}h0Rn}
zrj({EFg%WTNl8nK;0l?8DvlX#d{!RZ{0wv4Gnf&}C1>fI?=^fXW26XAtuLoov*Q)M
zyOi8){9Eov|A2U9uh=1d6pn5Ie|k}?VG*IGe1j*;DoWha5?#I!`aZGXX2Q`;p1hv!
zZr_m+&2}ShLM*i7+qq2&Uo@&D^sbT>54tETznpbn{g9oFFBwcE@5*-K`TQa`cCz=u
zN3ZlVh%3<RoFIYJf_wGh_Yb#k(Ryqz1?twhr{?CeSz5PP(i3RD5hEuj-`Ll5$vy(p
zff7)0HwtP|lbMLej+6jx+tL0O2G4}e4M?e=q)R$E@iv@ZVLH$RTFCv+!b?X@$Umf!
z4>222M<D7U>g1o4+sodFRunCYVzC*kB>4;F=>I>I-=R-7aV#dCae)a5w5anG=<TZz
z*dXlp6zGXPr{VuzZ`zpXG7%~p%`z;e2i^=0umNBpsDq<qfA&?`%low^Zf>{N8o-tX
z(jS$OGn-srsU_X*px?h8#=zG_C1A%W3i`JRZ**CM?WCyiW(z44C$YUx=T|%!-&1>N
zy+1c~#~<6E(HDb?Qy)<fTx3oF1<ZBvL#$>$yogl@VTcxRD0F4VbjC*m>Ih0du<6y)
zf`L|~%a;Y#Blf1wL)|0Pnb~QxJ@}uL{Ez3iq2)CI{RYihP?JzCZ3=9~QqX4u{|#I{
zh(D-&4U|Cb_JEe_a$d!XCV1_dE=LLbp>8OI-eZLeoRLjyPy3wJ)U5e@w2S#3h7OWR
zK;yqMRz+Gd=0E_VB{m}4&KQ77$ncLKz+(J4?{bfmL_7>Zv8!B23rCf{5j~B+E?$JG
z5)wtryArz#XGutmGeFHlttx`n#|PW4Q_pbXMAo+5?dRT^N~o#TZhaS`;xaq~2@jT(
z`#Ci)K7fNpNTmn@PQj)^gJx8kt_2^{!eD`3$@(#SM-zyjVSv&{qGI2?8D_;=swV2N
z5PsVF%ON%O(*7XBmpR43yDT%T8vvHNPwsyz&V4_B6K?#?Uv9V`M>se*WMpM!O9~Ww
zBR=r<dSg1*jN_sBsyz<4{u0SfAe<K_8+=NRe~*+|LWc?X4%z`r2J;nAQU6)wu(A4I
zBZrjDSnep{-}g!s=RVFwJs1cwk3$QaR$cw82#me1+w$Opg>Z8TU-bb`C%8IV!2`X~
zLaNA|;9>Vu{Z;?B0H)pqzenooZ~vIylNahyzM#<LzN*+5&rwnLcJ0~r<b!7%Vu1%{
z%a1ix238voY@$H-F2a;GyHSFOcZlW4IVFl?jIWa_4BqC-23)zpb9aV!FkWZ+4DSdc
zEi1Q)>lE(`DIPKBHV13b*JPTAj=lW3KF4iP<&m1&5j9QJa9+`RxgP)a!>k1i+{XqZ
zZZoU~#t!_2IORtKT0|9V^KSB9IVrdedjla9^BsSfbA5to?E2bHEuZ=zQ;{k`GY!?-
zEr|>#SbAqwd{_rxm4tgt<=>fXn<>^&e{|v&zg($C-XWvw%dup+nJ&LxUPXkAop$!w
zTNrTpwnY~vcy5!2O6k8j{nqp0s&sPZRF|yJqm!QZ0F;EBR~o^=I%H#w+L9q1f&Tw%
zP+I2e+)$r)t{3<Wm6VmAp%@k6^f~d|J3dj^8s%nUT1s#SfG|<#(Xn>72H+()yKq48
zUzwc)WQO{xQ0Ak(2)H5oiU##B=+SVrRaFC^4i5V~R#i=@tQ5F$4mb_EE(k2$O1n$n
z1!f7g0gEZAk%RTBWvM^suf8bJue(~XX5*ZXmzy?x4y0OX0PN^SyL1Ls=7EuL{HxP(
z4@*PFZR{Q2sbvn1W_<tHI!R$37Zj}^h_}DLPuIf$U``tM*+NM}VAj~=9QDC?6q5LJ
zj`+0*z^#9W<MfWx0ly4^xggjvG9-(e_*b&z%6{?cSz7IH&jbqqbfFou;bgl2&xJwO
zNrMNxv|qJHkcmPA$tH670Ah`r!Ryc>Z?ah<Q5U&crX#6gOWy@4uEr%SB!oH-W(*E@
zGf%y51K)UX_cpU007D^{n}F{PsIXDB^*Nmo1sDYFWVR!q4X=QjoB&=7gt`IqhZ7yt
zt@(tfk;fQc)_0A-8_~Hoo?vkz$6J@kXbeX>0Ygb33fs2kIx8WM6+zO4beEZa09aES
zM7|~<BT4B!z$yb4e0!)-GaNqq;m3QBMmE4f#Fz6Dj)nq$FuvUr%*&hprgR!rigD!6
za0CphK3FCNwtuLs9$vZtZ5A9)0t`eK=xe|ZHSJup2`(PP-#@?X%mQI(?L7Eib&ItI
z<9KbnhRdv*5u~rP1Qf`gqB={wGkmgP?|WIaBLEKuuFfFH+rbQ{d+pAnV9-I$nD)>a
z8-daYTB||TtPZRaD2?FtoLTS=mXi9xr&H}{zS9xSn(TQY$Y2WGFS2i)!8`IkHOA`X
z34aR5jT_BS$&^9VgzLxh^_o3=()W)Xj)_A=>)Ss232ncss|AHm_GWkL+yaTgn=a(C
z*1}#f<_8{;D{L;c&|aghcz*qX1$Ye(>7$Rx<fMLZ0TW&1_H>3_7)(9c*>6QW_~?C(
z><>3l#P~B>(dN<R;iFBOZmpQJm(HNJU^H2O`0!z<){PtON|Y`S^Tc)pf{cMQf_pAP
z?|A7kd^Wms`fA1^0YzkI8$ve;!xVTObnC#>a8i{{VgR9aC<a@PDw;+9zPs6NfCV4~
zlHsSOrec7M4?X(9$bI>FMQ5x7x2?I<tSnq058Rp}Rxp?o2Oyx)jul<-yAjlZV1nRF
zFSs6m6Rz>V3W#$r)KZTiqZPL8P)CJIRbY)#p?9aD#$`PcI^X`2LvUsJAFo^HS7i(r
zFV6WuUE27@-8JNMo?e&=ZOGK?-@iX|<;oSL+bZtg`YtixO-xq#>zpRR3$@Y?A1M6b
z0B;YNl(JLs>ig6*3ra%QQai;i00T(O_x1zt$jhGt)!0~Lr(qVH+(PgFW{TcpjKMX4
zla*L}*0y8jG}3ah*bK;<*SfvP+$wfx$gT9N_<w2`o(as{dXYE%`=EH}@)BF`#Ced+
zd;6T|+@q3;YwjcxD>lK7{f7_Xzo43@)_p%p*DtkWFgJYmO}omeMqbZDd5P2WvcbXK
za+URwn})4+T{7z*67sXJlS$uU>m15>oe=P}I<cF6{BoKRE!JDj_iZ~^Ois9X@5NrH
zsXJ+`tMI8yq_8dI+B&hUN6AZBH%oTIHT>V6`~M}$n>gpv2s#BZE`rF(`@am-jOhvv
zY4&ylH31VNfc$LJ9aQmSCl>#)s$l;m{M(SxmOEWk=ls?kyfeP{O`RNdf`Qn+!=K=I
zU#-8*THH0k3D<XW9cRi#TV~J+)OrYU87H8L>%1y>lG|sWjV7LaSbj_{bNrV^BhHAZ
zIqis!!_)^cuK1u+yBGc$%#GHB+5;N5x{2ol{K_7GGrgQtXOOI*63P^voYYU7mwfF6
z2+#N{{hLlm6<`==SG@c@N**s5)$?E%gy<71xTpXtb(a%2%3N?{imgLJk`vd388efF
z7C(^KucZ47bvp$icAqZ$4bmd@Zxi)>_BG?EoFdiR5RDf|L%WTGzyKK-)Y&>5RNHyv
z0mn(Df9KG=K#1MbJ>_XNZ8xMlsar6JiYZfn4?z6u-2DF+KK`F$|Nnpbgv!yHXON<&
zVZtg1@*p~Z1f9n%19t)1a)vGUI`vvtdk+^-Iqp?EpP$0O!q)%w^$h@bpaELJqND^k
zin9yq3YXjOpF3;#Q0|n|$FT$y)YQ-}N=&R_xb(w=Si|9B<F~hr@iP<>EyQdzC^8h2
zi4c?rT!Y3B5pS8j({e`-_6;a)hE-L#sQdsdpdBSyimsZ$?X2`=!P>KD&AOeah?cUl
z!)pC7-#$Ymh?Wp>8=IRy{4lBBd`FeEGx+$#mfZ%oU1vbl2H(DZ{{cyk(?Dizt+3hs
zq!K2?Q<MQ-M!h4~s>W@=5M3&e3?#widT`hL10g+u_qUf|`0dyme$oiiLN<IZ`uieN
zPGgy12mN`y$v#n>@kP%8i-jWHg+>Y7T7aG?yOPb~y-NE(clZdk|L*}U+q2!3+_=~@
zvk$2hn6it+0H3C%ep04O*(9#MKq!H0Ds=WQP21pIM!H~(F>fS0t+Of)0urOIK5=!k
zAZqX+Y_g7vR1ge_l8=z0wXFoOjcaVM6(z+4N<2s=kxMOxTpouCti-sC)DcZ))4bip
z&h^&q?Is!u6PhQcqc$JA-odX%jDC>(EBf8szE6gblu6g%*s)PGgBr{QLv{e@UT<9s
z!<6s4;3ua{mf$w`4xx6Lf$<0g>7ORLq<fwS3&U)zs*y8AkWjy)SpOn6S%=?Dp<<AM
zcxWr_AeTI86DKWtM1KP+CH9V<0}8Yusx;zir^z><;-sasG<%{!LD+0}gv};eE;kom
z(B)W6;=Jjc5XoL2nNTl_LEUaF=oyXAnC^7%$Hd4n+X8UiXy{ZPEafOePYk6E8uPz|
zNFc|rv$MAXSr~ec+0f?z=sLlevP0G>@FY&bNQULk9`xYI(fr>EB;J3I0%^88N^(JY
zj*m9Ck>;>NMZu+J9QH<x@rQ)@Oi2Y>&}x)pxO_t+nfiNh%W3nSRhus`J*c~sw$t)2
zBzwYtLQwiI%GbY;aw?5oQg~6%7Oq<0n?TK`RcGyXaGCV*sH0M0WOlZlIW?P_lPb=h
zyVcFdkJ^F?2CGOxCG6(O$}ZXU2ul<1<H-u@uuleI5PRN8MU6Zz<Bl?!jMGZdZEYEG
zPb-Crw6=M68l&)n%dt0vy5dJyJuAo=XkN;}!0fCL=6p>|f#vP7qLyWW@jJYEZ^{HU
zsI~Z(hRTXnS!v3E)b>kX-|re3icAyS)Ev%!S{f0Nl_#i%$fSeK+v4`I)vgnJvz;g5
z1ScUQb>Q`cI(E1tCOr79#kB1bJk)`PagobZK^P<vf+q=7;jQ{o=^N@X>D%n6EEzb;
zGySJTm4{lIOgUH$>P*DlOSGb=o4^fmwR?r#O%I{|-fj|S@~F*3<I$sb6RMzD!ObF)
zFD?J)Se^cbNco55^97<?W<j1`IfKupUWiD9JW~A2RaokQJO;73xcEXi1v{iz85l>&
z$w1q@@DUN;-IZZ~E~7T^zr)ZMH4H>ZxAg@Q57m1Kp*DKpmzr0d;Sac<+K(M-#=-v=
zxm>B8pZiBvnGCe3tn95!=24@kfL?N+L-Hu*D&H&rsp@GZGrE-=QDkg6`h8&Q{1czi
z?``f(7B{3zx40(3sEiBVOqgA5gc*%O>ruW0mkGCv@)c|Z0LT$vsAe<ZnYQxu?1~Lp
zWq&Yi;u-wX!7Q6#B&3JfiI=m&*204h$$!?IGDq2Tw4sB0Ij%S|?P?+04X4Dlx)g6C
z#8A&0e|hro;rGn!>)=E<1ouE?aPrw@C33@L8(9t3=%T6yH|p2oH*>3ZG2WYT_zQ+j
zkcMSaO6@(xO&9#-nVp@XBNKK5X%(Yt62K)nxwY+i@sI2|LVrB|nwot*1R)wmp9^rJ
zTr{Yh=<Rm)>X$FAbJ;$#cFeD;>nPeDO>OF{EAy{>ENGrD3#QvP|ABXfGneYbO}`;s
z5R0HXrAEwm_r?ukp69Q(%6Q82Ma8fwDW-F(sbBZ^mscr<VJ1A4u>EmS*;CyurPB$S
z($Wd*X<aTkOpf5+mdfj2!|(*ZajtG1bzi1pI}BiRg4E^-66$AH_XGnfm;wKi)d^J+
z@D`Q1Gxa+dtxzI63zl?cz@iZ_|4b|B_*ofz^`OXESX#p1Rk|P)dDxw)O7OaTA3OrU
zZqIJ1`?IRDG6@l#;A>}S%HVxeLC@?2R<a@ihJuB`wdR2|m}$t#Q?s+bZr&z>mLA-U
zA@A`H<p2Vh#RWkdhk8w=4Gb>9gbZyzM)6@a(4;Vcf3Z_fRka0Sxi)f4><Ho;SkpMI
zM|e~pKTZd22afVq%*XrdBC1AL6YXO@f!VINf==1T6`;>SF?p!)S72|t{I@_eX@NRP
zR~#<F%d<3A=&0)YZZkj-3vOB>NnDKNuK6qlHVR32Zh(zVe!3t6ba%Ko<CLovU;&^>
z=%d<|=>SF$1;hO6Y!(qhE9yxF8%{~hbe+Ke6XTdo#VlAOp50@fakY}bMSlwGrg1So
zf4Q5dQ#lcgsPJywGqn9hYy`k;U%h(O4ybg`@dHoM%JJ`OuSP}&tpS{oN!$NmQH~EW
z>UL>3)ImoK1oF9oE8X0ijS|ZL%j*vlYwb=jbC(u=^8&D@4%+Cj3I&i5Pqj@!%bGcy
zJguJ<l)$wg&@c^!*>yO8$BtEz)$px$CwNf64V${{M}JxR&^dn?K(yBe*<8bLb)+nE
z85AVdZ%HDf_KEPu5RgSj?ddKBpraP7@B|8xcBdqdwcDGYFGoE|m62Kv|Jwp#=bSr#
zmDgrWfQ*t-D4*MPL!T;Wx>5nc<7V{&Q@azQ4?_3njt)3K7=F~aZ8ess#h>7FvJY0}
zM)0`NGOXeFf}}_a?QG=o>({UKVZb<Y8F1)Fl}tg=BSHjd7@`v&k9mf^yT@&tE~z4B
z?-&=`5*AsA%DanNzMaw0<{RhPY=1KQyu|9{D;2T)(Zy)#6Hcw?MBC^8L=|0;qI_ok
zo>Pi5i;J74?U{0@#=tp}lA;xyx3~1aSM~0!?VoUsa<C6BkCV4W2^RzeOn9vwyNT5W
zi;iU`AC3WhBOUnC*(nW!bxnega>&!JvgBeRz#DNEL-rl87fh^#QEg@c!?z!e2Rw1U
zfoYTTDIUEalrMv~=K2Ga`tZyLWwJ|QOiwh3Y}eP<&)ZT;lThB&=6sKZfD!=7H!D9s
zC<X)T3Oo1@KpltfkcXGoJS?xE;C$NEG~lWs3`q{_kA6RZMNTg-=gZGj7qsA7?s>TN
zaj<V;;i{A}xbY>7jM5DfiO0vsU4i)~^!UB+IlXHJBS(0x&U4=`qMiw2X%ZM?tuUag
ztIEsxz+dsk@%hj45x0Tp(IWVcuX)TN<0<yglVX_edBrSiKM6B8_lwzRdN<wcU>nO6
zv#Drl(Ikp^47|wH^WG1PWDrw;*B(3|0FFquB$8RS6y8ZqPtU@X2E2Fn$B&m}Uu6{)
zy*xNPJhymtpJz!{elmnrBW4kTD;<8LS<t&789fSUl|3u0n#*kwG(UQK)0X$t1>x}w
zju4gsj%hv7qdl6TKX+Ucr5uC~glRfg)%OjVD=yAG;#w~7m28QdngM@q#VGIOJY`-q
z%yQOq^jPsVo0MGq{Te3Cc6OYFx4v;x(b2V5J)L)4eDdT8<K@d(h~4IlwD6y9$$R(j
zHvz3~zq6ttDR^Hr!u??%{|p}T@Zm#7Tt9=v$Vei1iibi;th%O61r4aQ%`h=Wxcp~#
zH$5xsb9YOH`ufX>vB-h@JQb3Hp+EVE-I5~aoJ+sECKGb2yxSUv|3YC1t9xS;sL8$M
zf`&qH7aV~ZB*@fUGw+e-pB@=A3k$!##UDqhvQlQYw!v4!rq7d7^Rt=WddG8)?)oCt
zl^E8#gQCdA<>ltN&Uh{Xfvk`E*A|~Yf6mCy|9BUZphxrL$B$qsKn)j=X6*KV8%qkl
zVg|PuI>am`EqxYLFOz$w!tPInG&{^}WR|Hqtv_s8F;{HQ5j1}zn{&iqVLCckF8KWI
z8&7UeUmsRxU+BQVBUD9NSX#ROIU0Jn(bb^7#pk1sUNJ+Z!Cf9Kh*B^5JZ(4C5=zR*
z<ml{dxY+w4$nkl~dt)iR)wiIwq?VPDLy}xrT;zJ+*VFS1b-zP6=j1%-+x=pZB*#L^
zMiHLjm-2qrPJmJN0{XZXtMO{`#Kc6r{hs*I`<izhv^t}c#;{*^mB0djXyz<=cH5rj
z)zz>U%y=M|z}zMNX-|@v4?PwZ7EH308PFwn1@BJ!FaUQ8r4OD65u0)4N_rVB5e{^$
zy?uSkV0Z!NL`%Pb*8$J<>(`q)6xK#7&I5wNL}+h2oPqlrC9*>WCSBD6!5@x>buR9u
zLBYXBOUv6oMn}Wp5dbt0ROk~sCft|V`wh&>h9uyL7cliN(XYss2T2VFXicg6_wiv$
z37yZZeC%2zTvky5dzJ#?0F^3d=3Z)Axj)sCy}`|`;$m}SacI?fyeiK*Y5Qk+T;#-<
z$y=??gsY8^L<qS@-}Xs%|Mi{9H0EE4r4OOh4>F(%dWT(!blI0q$OzGwz5C|x?++!#
zmk}4b&^@3UP%8|;IVmfJi=p2SlCIUlC|#Vb&aJPgF-o6P;DZ+@;g$~^K?!O!BQ7R{
z`jn%fGUyK=y-SsT`S$I(ht~6#nYSavSgNDoc{XRjFAIQ!Grn^Oo{8{1Q3$7EG_Qu?
z%JG-G>@gpo+#)z_Y(&19lw=I=hN3Qo1zjr`_nx)GNJ<5~LP$ge59~;-siA>s4F*)C
zfB6y&8!umyj1$N&T&a#qN}~TcH-}lNF$Uos+ikRJBTd-XGx$Wf?N$p4CPB-P?F(;(
zO<DwQiEHb@25;lx*q@kLS(~5S`eagahfEq(2BDdrK2E(M$kYT(c#++-1g@ViKql!r
zn5FdGn+_%|PZo5-N1Yg`*a~CDAzrfu)F7014-5o>T8!(5<n)J4`kd1FF@leX9)gH8
z@@&eIZLPPhEeAR#`{$1%JS#|=unOPL7iNI*iGs0U$pYGEm7gnHvMFSe`Y|$cbCVV{
zoCtykTS||eo!w4=7WMSmO*fr|9BPC*X&SsmV7i&w#se~t)krBGl<#I#{uDde!?La4
zX8}XnHxuqNcW}iB#XnkSHO$SKfQdxip83<NGddDRGFs~XgA|^_bm#8fyDfY{1{p6t
z>RQEdwSmFJ%+Zm@a1^}ea$v=p9)z63+;MArXQvnDq{W|!>-!NQub4x1y|&c^VQwbi
z7!oklv8;xMWZ?8xCmWL4C^`Z}C9K9OUxENiLbC5E3NE|LOlkU@_a4Nsg?1}EcyO8N
z;WlOO`7@YLDn>sR6htx0rhx<Lf;1OXB#?}7cy|wvYhq$z)9MoS=NUxh;J%P}@$&IO
zO>z9Qpj<p`^#@!sFPLRjwX`0f=7hZ=*p@E_m#=8VnA_RCfSJI1ubA&EC`2wi$YV#c
zb8=KX&3xH9&glEu=Fyjx6Ts6bB*0(vZpz=_?U!JJ4Z<srFeWPPjrN?fQnc&b-=MtL
z2t1-BQPfLtrkNT6V?-#}NHT`HV5n{p_zQvtcsNnEbWUO6i+t@Wuo)Q{8I^(n#PpD(
z(c(nnfK@T+eQ$5?hO<V@HMob`rRm|_))nJ?saF?6e*tX|bw!aPJn&U?^hb!B84-fA
z8gRTxX~%NtWkAt{X*00VV=#udUO2%JZ*FcTIc~G0IbfB=E5pofO&@T+1S(V&!u^fi
zFF3`N1R}0(=9bUm;vyK@QTv>dj!uN1pI^wAyXeEDG_|zISs6)`T{S*Qy=1<2bhu|)
z*tSI}v3QASb~NJjgzpbo@<O?$;YBK{M$iGf`}+fninv^blW^B(4{yDbBOy3qy>cbc
zD4H1$ok4)W+zSpN8#Ij^<Qu?ZgFFoL1e@y(r`OlQ=am(Orsf_-Z^n=qQ<*qSVG0va
z(a<!5HP0Wc5@0^kE{f<hX`YP|1FGUW;kk3tp8BA8qmLAV4s<`@yf#!0kPfHeS!9e%
zVC}p3`)xu3VaYJ<KxmSD&K$?j^s1_h^Igd}B-7y>^^HO2X!MKJc|5wQJBEg+av$A*
zKM?)bZ`|0%Inwjd^Eu|NuBl-?lH>wSRJ*}jM`hI2YPk3;q}t3&QSOlMzz1CkqF81v
zN00$zG_w_Fp)+@U`xaYz(q(!E2XSh~MN`M&@dCJai1qp6i@@dJi9U_U#{U}3UqL4X
zn6@e;N8}Fi229S+fLhWD&dC?AUKtMA8W~+4$kPgjr)FH9u}}*a3vcxUFn~UKqHx&C
z%+gZQ%d0N`q^#{#Vqyf$qg@72f#w#h^TH`&L#M*0JEOKxqx?Ee{26i8L3s6zudp;W
zH4SDp_*fPpV{U#8bxwXxr&mZ2KuKbGH!;HIu>gj)M$Qsnuxm}hD&KW?KX|>Z40>)x
z28&KQ5n(e`FaamjhGsb|;WM2m*8KM+fgAq)ji>SKTPP6*85lSJE+glT&Les4-@7xp
RzyO6HveF7t`4akm{};Jon;8HA

diff --git a/reference/WHOCC.html b/reference/WHOCC.html
index 73b1bd4e..b8b2ede6 100644
--- a/reference/WHOCC.html
+++ b/reference/WHOCC.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/WHONET.html b/reference/WHONET.html
index 1027c404..270bb511 100644
--- a/reference/WHONET.html
+++ b/reference/WHONET.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/ab_from_text.html b/reference/ab_from_text.html
index 078e8cfa..3c4bff80 100644
--- a/reference/ab_from_text.html
+++ b/reference/ab_from_text.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/ab_property.html b/reference/ab_property.html
index ccb4e2a9..ab1fb6a0 100644
--- a/reference/ab_property.html
+++ b/reference/ab_property.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/add_custom_antimicrobials.html b/reference/add_custom_antimicrobials.html
index 5dba5177..29124572 100644
--- a/reference/add_custom_antimicrobials.html
+++ b/reference/add_custom_antimicrobials.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/add_custom_microorganisms.html b/reference/add_custom_microorganisms.html
index 36ca252f..cec28c46 100644
--- a/reference/add_custom_microorganisms.html
+++ b/reference/add_custom_microorganisms.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/age.html b/reference/age.html
index ae493fa6..19c5707a 100644
--- a/reference/age.html
+++ b/reference/age.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -222,16 +222,16 @@
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    birth_date age age_exact age_at_y2k</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1  1965-12-05  58  58.22404         34</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2  1980-03-01  43  43.98634         19</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  1949-11-01  74  74.31694         50</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4  1947-02-14  77  77.03005         52</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5  1940-02-19  84  84.01639         59</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  1988-01-10  36  36.12568         11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  1997-08-27  26  26.49727          2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8  1978-01-26  46  46.08197         21</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9  1972-06-17  51  51.69126         27</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10  37  37.54372         13</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1  1965-12-05  58  58.24317         34</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2  1980-03-01  44  44.00546         19</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3  1949-11-01  74  74.33607         50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4  1947-02-14  77  77.04918         52</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5  1940-02-19  84  84.03552         59</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6  1988-01-10  36  36.14481         11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7  1997-08-27  26  26.51639          2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8  1978-01-26  46  46.10109         21</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9  1972-06-17  51  51.71038         27</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1986-08-10  37  37.56284         13</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
diff --git a/reference/age_groups-1.png b/reference/age_groups-1.png
index a251324196494c924b4565a97447a887c771fc0f..4c8b6835af12f33385110ee0d1790b6f28c5d428 100644
GIT binary patch
literal 46225
zcmeFZ2UL^a(=HlB!3J1RI*1hMND+|!11X^w=~a;?z4s<6N>f6wK?xvTdJ9dZHwjH@
zkREyuEpRvJ|NFkP?sv{vr`)^ly6e14O$__p@9f#LXP$Xx!h1CpIijnSS0NAx5mf$(
z1_W}+69U11ewhG#G8Xq~1H2GCSCo4KUcq%BT^j&it~ko;xj-N^A!mQ_KFn>JLm>Ac
z&?o;q^-Nir@bfh^Pdz=wKH`HWRbXghq(+<#^hwn}ncrdg^(DPLku>IO4SNmC{PMSN
z-lg|CUg0kjO_l_fs3D)RnjAcjLs`INZ&=M*lHJj`_=MHSp40AArUx_{YT;anrnAgS
zRC?eN{W!Y)g>i4I8SP`29=F2e=;f|iU+2_i`Ew!vpZ({{lOrY~dGDHmJFG#EVTG|f
zB2b?>+7P9p8q`x4shrspfxANWXCf%DsV!ZFNKzznSyv<Ym{RF6LeN3j<VULUgJ47m
zqg@Pt0zEu;KMy4y9Iv2nvZU}dU18P1%$y^#C~APt#9wO7^2VQ~IJ>?>+=U9X4y!=p
zJBUuQ_-?3T4b^SL>YujLU=o&jl#t|222~0x4rbQi=DwegH;?Ye;e&hAuOBEF;X%k3
zdg4W-u&+e-9zQ{SU@}sVp^VM;fF@C!_#2|4V8_n*IyptP3ThJPkL$QqX>*~mO`IM>
z#=7j!j8TDdx1~xCMNxf8VaBjP7vv8=BN%vRMNn;%?^hBKa~}}}6ewYt0_a@Mj}w8o
zKZ}PzW`2qi!P%xT`!$C9vps@Go1X{rMg63tTer$MtOMAxtROHRnKL0F5Xm$FE0**v
zBmzo1UuUw0OjZ5xwNAL+PZG7XFU%ll<r{*~neh^3!YspxJ2i}Jju|mxF#mfVYd`Dv
z_gGnvD4}6Y6VyfP{?#tmJ>+W)*IY>%9<$|)&zc^Xq7HxLF<UqIUO>JXaCnQD*xWjb
z5et+sK-GI5;$ZU#s3sF;0>%~XT7+n5qrudfpy0D7Cq3FHnvC5sJ9^NDm>r#Jl5uZo
zlo{;A2!-yTfu{9X9VRoTvSFB^$#b-DGRBGf*3Z)1=%DmC-rqN>TfGa$XZjvsee0yx
zg4>)Q_mnc>N)aaQG<uWVl_p>n4UB#oiE^`+BK2=#_?Xf>l)m?V8rZg!MES8Ed5@5V
zO~_rvpxcp)B-I;-e8O6vRyU@{I}o~Xmq##hPAv7v1MIObJLWl&A0hX!+F0D|#|7Qp
z_b-ggGM=KxuCy}826z!;B;sPkCnTK0{Cdt5-1v{m&kfU#F|i(rG3mtI=nnf>A0Av@
zjBsW>SBIMMOMg75jcl9cOO$_z!XcbvPQO}HBY}U8HuZb``(Z1fx*=8AQZz~|J1U!N
ztDWX?qWn?uO;q{38XY@^0_wt7#z}t<`&=+y^wjOO=+>%(IMFE$!pHAXNR1`msDF;<
zs9Kz`K2(*>@1FSY4(cs=WY&j|a$F>ORCbRww|=dk#PHUwgf%ZQ81Jk<5&uNJ)iy-u
zJhy9EHoVF*JKphT814c)QVmL_*cxTRie%DTPv}u>Q7w!Ab`w$9txI(@)EEtD|1_Zt
z#mHUVxI2@A2bLUo6Ic6|>me<t)XBlcaaygtu=F3x)70C`Z6D?Cr+X)itIJi#*v$1P
zrYtRr?)3^bF3aF<*{djEgKwgIIa#|;yFcm_29Zz|oyz|s-Hxl9bN-a(>2-6;Pj^lJ
zr(uW41L+ADo+N+P>Y&J0=lqOVkrGGuq^;zww(l=@@Ft}?D8e8Pg?@d@;?r8Ed$|&`
z-<Nx>ipF?GUD$Pu_c+^WIFp1G#3u6OP?gb>A4sP-W#Ah%G?|B!Dl8U(!+9=e?ia#)
z82y%uD=GA2fH+>|k33Zry3;Qq`F-|d8PvK4DwFDc3|E5@tS8>*cdBq`tCi;z6LXFp
zDu2Hs5OLdWL*^ueuk3&hhN=^k7H0Jc99}-uYOgaFj9T+!9aDvlR%j(=FIVZI;%AP!
z!WZmjBRx~-F$^$crH*w8zS&(k>+Wd-Y?3ucfVJ0pv!tFG1G~9Jp&Z~Nt)V83<8)Gr
z{&2)jv6L3(du0BN1cq9V^RYSoy(vst-MUZ*OOsc?Iwtv6FxxdKqb?B97%*V5zKHRe
z4aEp?pz6o<2+=h1Pbp80_nM#Y+$=h*)WOly83)MvOhopj8B}kTI8anCs5pyJ%|$9a
zay~t%)crn|>KXBGiaMF(`gc9a#!$-_Z`s%Py*MBkKb$29L~Sa*R8{biBR;UxoWH4M
zX|*pieT4zR2lG#Wt;=sycprQ$e?G9zQtg6oP@R!y@ncvus*Hh^gga~bOPmPz^ZUK+
z)+mmj8)&_+fm^_ylOJs%Q?#5vnB8BM$MKRK>?vCBf7u|LBOs8S?%!~kp@EJuGZmZ;
zvMi->^l$FwraTvW!5LqlAirQvx0xH@Gf21f$DGN#tLMrMkA_ePevw&%@cvCjZ?*4Z
zv0M-JbH$6FPF7?LpvRhtH|~0$A6rS;{zu36U&zkSX22X8S4;J_k~4pkx#w)RWzBoo
z#~u5}#q7aL5kze??eX#fsLL4S^^Ln3{;;Euc~5HO=8Sg=RrIl$9OiQ~T?pS^l~OUU
zi=)_U9PH?my)}*lKXKMo)P<#3hlUsg6%4g-D?Bke=7b8moCh1Sq%=whQ)(T~a}K>T
z6<dOpX+QdxA$R^U<Rq6oa%YS|9t_3N3q#uyIq1|hTIC$R21j-m>t2kHe3Qm^X2T!*
z=qdeg@}j<ENX=3?cFxfYVIO3w(wHZupwq|GHJSaO7`_O9g?%#fhOaxkjRxU|OpJuC
zg3O!}%ntC1wDDf?c#ES+#Oj+KqD0kzvAmT^2Y6ge{l}20*)i_SPw78;L_472js6_w
zxI@Gil{1G#s%`6Vm~$w_RQC`W)B4dn9o$&w$w!hRiHth?R;!+Z=WUq|yX+0#C&H|~
zu0eeoyH|?F)R)#*pA&js6SD--=qfk2HlFGIcbUi{E-2?)+b9upNdX#Yr<|ocHU(kz
zb~XADf9uLJY;R7@eM@Fj#6{lZ-Sgq~Xv(YCQ*ND(uwz7_Dv@sdut_G5$)6^Qhk4^+
zr$LBeDk$cI>PUmOG})ra906U6Li~6bMhSLgRv<TLu^bN*37LDgIVa7y`k~=)y66O<
zvsEn4U*B7+0U{Pc-uE%JiG3{9isuL9(L#@IY_!TJKb};n^W`m{Jk)>VFH2TSQ=MXv
z@mmI+^!d~JuLmyq3pLlr6b2t4?d5WvPbXF8cF~W(`o`BTKyqp{C+V22Rax0?VSOVp
z#)|sl_oZtZEZQG<{a7(^<~Zs`%y~Ut<I`_0G$}&#wh=Wl`5LZ$w{vzvjEAA3U6i<K
zsHYTZ{dQYLw>G7?$R<W!`D8>Dm?#kTN+dd%@;~~yuLE^qGGZ6}rO)KS^=tOPln&-v
zHy%P3F$9F~2&+#33;2<Dvg#H<ULYlr5jGKN*i+!^HCPFgbE^MnCSGLzOFQ?>#cRYK
zVcpq^P78rse}0i0f^cTUJ;wNnlYMRexcsGWHc%mJESpeKw_-R{U7~?FEoAc*b!Q?o
zMlZI$HzvdI(46OR$iCWzT{TL?yGTzXY+T(BCbB+90LA8fZAfg%O?j=b7-n{$7Y+Rc
zmu|L~6NevEv$&x<T#>Dc@HUx3oNSUVdQ8J>;3g!nL^_ZRLR`UYeXz}x_h$JAbw5pP
z8L}>L3nsTPC%iE64BFXD&KZ~gYq$0vLUiFFD>UM9%=R53vBx;A>Y(2lvyp3Cow%My
zo5S=JThRJC_k4#`nqF7{_7wg$(!8)pslVU}lNbZQTx1<I2iQv3$qlssCq%$jI+2-H
zq>f)PIdTczyh3uovcu<%EMow%q+qrJ{?Y6}?o3@~7&nottPSMouxdl@p;_HR{=I-<
z2t@7X<&6uCO=~LpC+UbwnYr)Aucfd)MkxA!+v~g(Q)wcdarIOdL+2d#5{la5yA+ce
z_Izl)&Uqm^1`*H5sl>M2@aXuJP^#jz1cNht(!XK++5*m5j)UogY*J3tt~JYL_k<R4
zh@kQ6@J~`U%iJoGNXnR<*9dQ-Za)gj2XnJqmC1iaHyfejW&L;2jfr-T`eVihoalPK
z7Cdc5ExXU=0pZ(SPI@}%8$1?1GC#{d+xPVQH>NHH2G^y3y6FZh)6ew#H7ZwX3;*=V
z`XV(n`5MRiDHG?ZQCyinROdn6I>*-)L(&X?H_8*qc$e9|;1A7copwK#9(i=KKhdSY
zfV`FMm=nLaRSBs6iAG#m?CioOT)aBND6BvS1)uH=$@PTek90tZlgyJJ3@q2{UN_!d
zFJ2>I_$xS7(NSD1)xEg!ieXErgyIN(My60)vz1&u^2B&Nwe0wW<3I~~Xc)(z({i{@
zdFBJ}ERk1}*}WgW-2sA}?3&fjsCj#ucMAvOm&funJJzE3Enk<3SK}={8HHy<qf<<5
zl2&ti6co@8Jf8fNuaAmx50NDf^uNzKVXfD3YOOKq$`FMtghx@0D<c%^)No#?ie*`r
zR{7B8{uQnHD6?#<{dH^{zx7=N;<2D|lHpuG+8IOlfH~8FE8X}Yj=j24;=$f~)=Do)
zoHIUcD^r1p#@hFtl8BAu+)wD`bQBg2Jb$Nih1Hjd#FKy4-ArPT>kP)b4n>F3V2$B>
zH8dHIE1lKD>vw|?{05J<7B%7Hm}uCxD7$jazr3j(gSDkb&5T@Ir+f|c`&jgv$mH@L
zP~+@g{MO_nBbSD1>`{8+4`~UdW84@($m3&21&9C|dbBS-@_pE+?MJQ#84|{m4jL$$
zM5YEqF471D+Gf9b8f~-qYVZM8YQH|Fgo<|-V}1r~j9@WY(u5LSnX+q!(eL@g0GPGY
zNJ6)zn(*I*Y<Bu-c*zr<+RI(_9gl*osZ<A*{#aCD@E{(pR6P7VUj3>+Q6A42GiCaX
z)A_?cTht%Ro$<wV+K5bbiQw4H#r+yTSUnrY&iRA6RO)zOy9;z~yl97)#)P{Qy4D-d
zx-D;9bo89(@GR1VoqXgzk2G?{7mzTlU*`i4SBv`-RL<+^38ZM+k0N(|m|1Trk&(wL
z^aH=#>bXCuLVU4-9%D;{E6ig|Mf^Uc?%ts>3ID6Cy(`rWOB&ot&Rzg}8gXO#s5@&p
zLXMs5eo08#tFaAN6l%<88~RX8?UwkrGG&e=e?q>2V%*tq$3g2|8REl?oR(K}#iHcW
zjCU%XFK-Yqisg@gP@InCYD`|Xk+h#;OEtWJG>+;2_zaF$9hCg~`HoD{c})5Dh4A1b
zjj;f+_N8`WZQ%$y#yS%i7hi0as^>)H=0=^ErZn6k(O86OB4J0|;NP(8mU99^V9vj<
zOlR#~DHOx2d4gB@GLvpM`nZGCifXm_gnI67;6Z3fFJ{dxa5(Hx3+m0oIzgeg<mRO@
z`bZ(**>NKE((M?L22-w}4{T6$JH2XN$CV9*we@Z1xw}eUTBxf;r+yUG8Ov$C&ra=}
z<t8H-0rV=Nh9ih5_Ec#Omd#B#wCOfK2PnS5hWL8nC|2D>04Rt>o~A^P=a9NvwmHBN
z2hIyJs`*qH`>WO~M*zE!lc2|7t~H30>j%jD9+Mkc2)7ZSpTAJ1QV%3x)|umk_gCXZ
zTG4l_D_P&p8ecc}d9`PC!CoBNIol&s$!Wai0;^}WwvXGoTK!89HpzeyfCjveuT@1A
z&52W6yGI_7GBg@k;p`RJ7Fsyw7&{bb-CX-FV<KaGY?k4$rET`=e@>-mtg{}>MRRV@
zSCg%t-p?_z-!N4}aaEHD9~O?^G-c=xd3+Nec|~(hTpnXz-E^2RKISjjMnqk&GqR8;
zCWES+o17HACz!AqKF)fvC(38ck$EJtNM}yo-ryC?pH=WHj2fvRSRM@g@-IKc$CK3j
zpC=#Lf#qu68I1%;D0AAkXRsp`ANQ<!LGHu&`p{{{r&{Lvn3x6mjEU$7Ex7!=j7ZCO
ztoyg?)p)-jOna@y9(iqFAxe!uAn;^z=%qOGd*mK1)6>+Dhr+(H@hV#b*P=@iG`-9U
zBF@c^@gb5?UN}0Nvtb*fzhUAxOioG>ledO4Z`{tLfj~^D=^L+spP7p0!9*TGzpZBG
z$_Ig4&&EUa9N8Hl;U>PaK6%>qKV7O3470Q*?Wv0HH3))g5-COMZM=wHYa%c_H0b;s
zNjCqMx(sRI7SE{D%KJ2v*vYP&^wQ#y`l$N#6o67mDKz=d<|SYEW=dsXHCzfMwfbBJ
zxQTFvAPt?fpGY<@MT=xM5i<J8qjF%8vHVb!HnbtOOm?lUxBk{3581iUXCwd5^}nhC
z#~YeUSHrb6HKQeNy-&G^p@za^TtgW-^~<a@SV*0DSE;VP@ud>9N2;MRhel;!6$&-I
z>)3#R?xaUP$WhDY&^z1t<$?w_y|Fu?2&!+tH@N#Vi3ozT6%JDoZ+<)O&#lP)6;U#i
zeGKAYW;R2TUv8pc)L_+jKOhU@Ao_5e4Z~n9upaH|EJW>J@Y64j+eEy7VcV{J$auKF
z-$m2NXu=n&N@2!jV`qoca~_?apU<@$tH2eN?^)W}*$sdAWp$6_+FcGIWfT#tr)0?f
zQOmfxj*f?-j*d>*fE&KTdzW+O>tWQsf>BUk$<P|iHM+b){BD?XuUkWXeSL2y(SZ26
zP|xOX$6uD=0L<Qn_5;@)(}=a&+dRU-<7Z8fo|`1XA|hsBMP5*J>Coh@t8d=YU{}W~
zO*o-03q3e(V?sRgrdOA)^~CQGLh0i8o5@{XA=a@wJIAuH21G2r!n?mx^u?@Ro_yM5
z`colMZsV;Ky@`&_usyV&fRONmZl(Ri9-^C>{JJ<7Al*&`sEH+bM*SFbii<aOhDMVd
zg$&_OTV0sM$S+?c_L~YKoD3}z(MBn@B=qYW7{GU?b<<0_;Svok3)`#F0}cgZKHKx%
zy&Q&Bj-lmyccG^&nA_aQjc=#ycAP=Qt<`7D4J6@Rhx^5KE7615=+;gerz2g3bZuBZ
zf@-F-NotScJx_~*2FG1K7?r3%OTIwMIMmT&I!PkngcT^9TxhLoCQ|>aX_NJX6vuCe
zZ?2K8nSlQ}+~v^SD7;U4APyZI8VwV4m^_w)_GBq1*DUm;9zBLm!0Pp1^9CWE?9WX@
ztx7V7{b7qr45L}scZ`5=<aT)PLNtQu(i#JliV<hPLb}ByOKM=F8b45L)%V%xx1+9+
zkr6z~H5|bwH*r4(pCKnVH+QLjXp}0Pr({S0H3B=SGHrU*;Pv|rnXxLPI0g}&o6%>b
zTA0}Sym*AWZU;5_!>0iqP*JYkXSEYG>zbOHT72o+-SGz)ShR|8&SCXJ8Wl^Gx#Tk;
z!E*^&)MPGsM(}J;hb8yhVUKVk(@k$Ky;)&^g4_2b?``ZB78Z6g;#kP9(=uS#Y*w{C
zskP}<*pApjD@7tpk#%)-l^@+R^&9+g5|n0<yS%F5#$eNLdW<`T_==<5=uY=rbyA&L
zD2fzN3?D?Dzby^sovxMjtJGS~b;N#PLSeDkBkqRdtz5(H(-UmN>7ZVz#qNX2fbC?o
z=;@%2$)J(P#BTFI8FtcVeSCL$c)4b|@Mu2ev5V-chh+WvA_Av@-G3=6I#thE#!Iha
z<7_mrDTpnv;GWn^N=njYycIRhN+DbKfzi#?b;Zic$}<@;_Nr+rKz{Ujcr^z#F`5$^
zBsoP3T^=19ql<Y#NlD4Y+v2N?GKA7-X=$10)_Lz%s8?*?w^==sD|MhZ{y-#e@l9!Y
zg~D?FI>>WWeMKFQDY8v=-sUr6Xy|+!Xalyctd3VYVB&r?qVPrbBMNIdvFm7K40~Pi
zC%lj#R?S)LQ8|-<qtVMz3OPC^=;)l_DP;tYJWuLNGybuK3Aq`6OEn+cQR^ml+67s!
z#JOu<hQ9aiLu)5La^KzMkVq%Z-^_8?Gwj{kCfcz<rO~9#5ymLEF1gA)81{-Y*-fh?
zC71VkOb`=WKO)x=x%sG+XTBE(Qn%ZNV6$)kqi?2USF?)4;oi^mX|{=90iGtADK)yL
z{?jLVmK=Xm(<w*jOIzDxSot0$u%)FmF`tTo!NE75`xdjnRn5uC`4}B(_)=nZ@{^UQ
zWH5an&H)M&=t|8&ulkt%s#yDO!CJFRG?7+Pf5QhKH8quPkFLd~2l|*Ce|FMB+aLJi
zFz!X3a)d8kp%b>fTVtdVi$RkUX>)>6j`lI}4avNU>tE7V^!&GJPaFo<s0UAZf}9w%
zMYICy_h0sI<xNy8w-z0|w>-ehEWy<+EOu+67xet)j!%Y@PNw0aog^%=5`JsKBe_c&
zI{1wjpQ_^-n{~zQTaC~3+f@$HQkslEZ4*!AfAmN>;>mri!r@9ViFlO_29=3tv+5Df
zV`5xt(ajDU7$5h=RoIOcVwRVW$`Eu5zmT)SeqHO>1z)OCozEpj@>^?50k3%KgW=Xz
zvGWa;!NK0!qf{iu60f9-j!Jx^nQ1)fgkHoQGCjuOz7HvC*d`yPNTLx*DceQ-MI^+>
zlj~SZKda}3!VDAekFKRU2g*-UsOEl0o%qEg^C}7l^NyKUy|>k&>l<uf%a8qzJoa%X
z(a4VVHX@q!*x3;;f|w3^Rfqi{gY3Ff31mmn+Mu$87BNXVK})SQ_sPMpwdlL6be+6D
zK0bu4C8Cf_b#=T+U5-5@dOaRNB7bPH<Zjm0zIos(NLr%G93?+10PTJA{kIQePDRC@
zBh=rl>-KwocAdg-g5W002p-Fqq<E8uhlgSZYcp?{utf?~(M>Eu84Z~YOXMD-i;Idy
zIrFR1n$iZX>a&;y(gZ#O=Ocd9J3T6~qm@#zS_${|C9MhLxl2y=F+Y2BUE%QyEe6V#
zEy#{*EO!`|J-v)qYNoox;u<m^;$6I7cT|V#(fzjiDB(t=uj^{h_Y+K*xl24(;MUn9
zST(bd<nN!<Fb#4WRM@)9$+do!5T<TD2<4F#hjSaYi8EMRSqT}TWW?d?EUe3h1Vj2K
zKZ@l28;EN+N7dJj-NyTP#o;vuLmj6F0Z*sCN}HSU?3Rf!QelQ??^t^4>X}~u>%bj9
z2Cs*uHtOr^6GZR~D`?!i;rZeW7%=95s{+KX+Li=9#yX_?>Zk<JqOh{E@?c8>2n~5d
zg+@oiKMuXN=j-U(ov1C<pBuTjxWpnn4t?uWWG~^jD`~|paoNW7ll2uQ+Ycw3;NH3$
z`eYpXH>hj5kPIU{yxbqKs%igq)3?<}BBucOSdZP&JzfoxbOTOS@*%k^W4peOy@7#&
z<(B`WM~@_ymX~cFw)p;ZN*R9Dlzu--{<%x#j1b+^j>XZwm1wqG?+v+gva_=nvSxQT
zG314@u13<*-<O)h$Q;J1oMr}L-Wh$16V-G#P1_J2aE{Y1iqX?$wAECm&Rnu~_9!+b
zm(>!^m6^Cs`h_%w>MVW)zR$A7M-J(mg+sCTcmj@NwG|aRO<70}f3`$Wolffe<RBVi
zcWMwmgaicjM^nKhYg^CZFCro$t`(H)9QoFJxVyX4@-LVQQJ=U2QHagD-hzO`5YDqY
zG<u1KhUSQu?ov!}F2e`%&5A8+GSYRun_6<c{o#t@dS%B!QvViaONcfq%FD&LBG#ge
zL4=BORXx@!^ScG0gCMJmk)46TSSoC-OVHsw=0PB_VMprc5CN1nm2OU5`txxhuMA-2
z{#+fTc*cL<vS?oP{Lcp8VR1XVQBAlma<C;0ue|<F-^>KQa29jA)-}tx8vV1|ou8b|
znEuLdY9#ghBuU&C+Otn(Lm=EB7q}$ir4ZXA@d7r<SFUg3?Nvlzn`3hk{QMr>`4d~B
zl>K;&O1vudRZ=o1c=8M?_ZGSRc<St&B~4O9v>pt2A1#b^9Pkly97Ql*K!O`3_0F@M
zhiSTb39-WNSev;$9HF+v;O)U|<6i|sm2{s+w4{66BlI!2-nF*JN0HIQgHIba%R0`a
zQaG2YQOI>Txvpk+ALEUUc}c+_R_`FGQ;*cKtG!?2*)#jh+AO^0Y}ssg&lD8swAjIr
z{c>|)34c9aDR1c8XrRE}6SvKjPp(?B-p59zifYnlbI$~E``iMr;pLiH+B9YM{&tc_
z1gW<M&dO7bp3Rrfr)qN`PJ19Y(N*2mbS<dfqw!z80AS2hf%Em5M?OB=iolNZjY<#a
zAq0AasEvTw2F83{HW|wf!R{zhQeN>L;#-R$u~f<Hi)dA1*BS)FAhUsg)J|1KsJi*l
zvv+13d>FX-;q22!p%O>u!FQTmhI~am+gtWR-bwaCquaJ;8y|ktB!?Zmo?qlN=aQVg
zSIato?%7+(#QW!I=GlAm(6b58uNc<<eDKwn8Xz#3f$cxDoh)S$7EDeWUcuO4k%TMB
zm)>H1HL9OpAwx^S{dseO7PjmpKsA46X8T2$Ht~1`XZp4byS~z|T!g)DfNjO8<D3GX
z+G*ywZ9DbPF|>dTxP|<WLEl-PWz`Zs{Rs8$9eC-7nX9Ax%8;EpkHzFRB<Auh<+@pw
zo3tnx5D>WSvLEfd=nYJpq#I<_%xfv!0s=oLK0g&RKeFl*db}+{DoCy`ao6z}9X9wp
zJzY^TI-I7pTMN6B*%iBOX*JRXP12f+mgrm@Bk9fWI|vzgsZws@4;5#i(V7`1k{gD?
zj90l;Xn>A+p8-PtY%`kloAU>XYfacI*CoCl=A?ZQ-~DD^UXQ!cT}VlpajP741fPg<
z*`s+tlbbX0xhg}A3LgKv3TkMK2MH{0HMs{SfwaWdPOc0Vw5kr*W<TvD$87rH*KEzz
zy&SvK*X+VfqDa;GF!P&kwTn;D-64XV$abaPvzuto^z(4u-mCZML~!cYiN-KK%j-u=
z+MRDTbj+k`w%T&^MavHxkC^&%%fAYwM~JB#iCVH4#YWKv46oc8aBMSj*jd6(;2$=B
zOB6LFf<R&}{+W^X@tWN>Q(f)AF68QtEXW7cGkw%Xjz=Z?=6}-=v15h`#JsIM8vKhL
zvn&WakyjuP7NS3!+j6Jju_uddO;d4ZQm}^_s=R1rFsuHb37=_>!8^~4P10isn8XJ8
z(%otgcSF|jb{}hBdx<Z+{!`!2(R=rw1*>`t9%S;5VW!(g>{26dwl0On@8w$ld^z|n
zF{ulAJt1%nJ(8VlyiQTE_TebwaOUL8XqNW!{7e=}GK>+u1A#dFagS<oE#AbFVmxy3
zwv!n-{u%JphtkpSbf3LS`fr;KjX<oze-z`n(dnqT7_!xG-t0O5hF)(~zj(^y0$D*?
zzE#Q5TJ*}`GJfzD1tvveRg|Sjl}<n}o?1L}KUTJRWPq%nDcK`$?uXteO=*pr&4&{d
zS^pR_;ZAe4rkhkjW&9ppnjW9;o2ba#&E>Zl%dUM{6W-+#0vx8v4&IQ!%0FlIi*E4V
zlr`<G_0*etPPT`3Dx-<7@JRk!?vmt?edu_gd{ce7Rk?#R<|CM_adCt7oK!N@6{>#u
zgO#i>QAa0+*Wui02v?TrbfxC9&#Q1Mhy@ys?^+bui}}|~ie>7z$bVR;`Wef;t~FNp
zjw_ANOLz2nm#W{wo-t=W(IQQ>3suCKtc{DHN^xe$>DLXtW}kAV>HAILVAg~Bx>P?~
z(!PKjV+zT)HPO4WMgC~9bQ6x0#D4t#EoBl2x!7NS6BFdR{i~;l$jZee-^yGcT4}%9
zCtZ8A8}^3p5#Q7{zZfLl@o!XP!S{FBQ2XT?Y*zPwGcxnUY{7FQ_$!d<D^^$H$#-UM
z&5AyQd{*Tze=8~X@b*fb@9-a@4bpf~W04x^^E{Gk1SzM9la&y8_LkZF%Fui=Eo6%G
zuY6O1|K(m=9c7aw=PMG!d6)j(<{%J4r~Fxj0o;8aecX=^LH_e6JO?`2{+`XfnQd5Q
zVVt@!XT;-?TbLkHZgpnuTd{vUE6`qG-(QKqd-L4;*;bbcf?E|p(-8qwPW~_qQCm}6
zs{`<dENb=kf1L?Jt(HD-4)q!uO)e;3Q1F&P5doqko?!s<6xtA7_K=#m!O-;fUwH5|
zFqEo^>N){;%nl6E$wb3$4MS)$P8jOwU>CM~L>y$7!~sA&0SM=7`JS=OsveA4F^L<K
z)YR0Z6WlbVo^!-uQtz8JBg8Efx$WuUfxQkTlRqqKX=&+2WZBu<7s7S|%lDEmdi;If
zZ0_d^$OU-7$urnmSOabV0gYbz_WNtEQ;J?oLJ?Hh-O+KQegFqRyEr%K$Vl^`Uf6dO
zTH$L^igpb{Si@-J-b&mZ0GyXGEMRlGSz>WzB^+b`3rv2!`aX&*q?GO;jYa#HGj^wn
zU=3&m&&gO2D=%uFXA*bAxhKhqLv+f^%68;SR##VR0TONC#OT0!#MY79k<gVhy|yGc
zKtT>@>gVHgqzJRMv9a+0XzvvQttd=Sew|B&b<GbZ@LG!gf%Sv~ld{(#Cfkx(`(kjD
zSwXoVxtVx{^IXT5VY~A_7T}+qw4Mg)pqw`04YbdEbYahne?5MGM^*e_cGFo7BVJ)Y
zQM1a5DLCVJ{xN?RUc7l6;d;*#IZEzgX=Ae-{kZZx>;i*$`iw-cbm(M|oB^uHB$mY7
z9>UbVu+16eYUw-i9`+*KOUNiKaz=D!`+(6J+L1*BJK-d~dT=Ylv!Fa%amlF6s;|&d
zC?D)(ue`7<D)AEk^1bEZB6#ktWBa0sy5<+Em%<(V6B`eAmr0Vse9G*{afh?G5@U11
zm@fVq`1D-$=I(^SvC7_y#wrWOnK`e%)3D@h?e&r0TJDnV*R@rXX6LG(tyk4|Tz4*I
z=s*wkO9=VlGEM0EZFcMH#TOXp4%+IAIc_)p%KHK-nh~P$Z!m!s+S%Irx})p;e)shB
z$eWp&rIzpAYL@#g9LXn9{DH^9*w@LWMil3NN^DcW$SH437a{9Fa`A%6`qEO366yos
zM0j9@B}2w{uD(ez?~Ln?bFG~b>Kq#z^Qp7V=CLR!-@_TtCx)?6$Xt2xsSBr^epm-{
z_lZSUM_Voi8TXdpD_D%oQb@$_xD;(A&lI5qxQ5i{v&hlUwl+j&iWGGg_a8}YvWcX>
za8Gj{Du)&BvNia%at!Q{oz9-Edd08R+MuPTt3CR`sU8YyX2ca(tfj8WpKnmPrUjTM
z*oy+3IiSZ(9+H<0jrzg-SuiGy?c|#Azgo#PsZ`PNT)k&}kFS&d)?s91B+bxhrJfB{
zaFeN$MmEoUNkv7)7$fVA%i|2zM!*z<VM-w3$OenvZZdTQb0XI>=x~cSCo5=yd4Q|&
ziKaS(CsR&A!KzP_=~qouEUYJrDq(fwz*k2mqi<>dG8&(O=T^|flXO9?fPjE$@;wBr
zjSDjT8DNlJ!InVALmZC)XO~;grU-DY*=r-EmWn`r7Rm_wmoHx?Q3c#EG|n#v1cY?`
z(Vdq+N4Yz{yv*;sgdCW;ZXf0PLFZuA_4#@X=xW-+S1?~Nb&WtQ)O8dM3zI1(&1m^c
zvOY1#D%Jp+AQ!uu^Z-ML>;S|^l9)&U1IDRnD{pPmC2d-B0dKDB38DX&+@&BMuDxy^
zE)vNrPYnZgV1UoQ4dYTWLjU}^QN2Ii|K6=7fpbV-&*p<_e0=%d&;98v!ww*466O0R
zYq2{cgmk`+!>CL}{Grixa<h7*MR$@8V@`GT!66{5jrxa&vDQ$Do;veF;B8>zW0kWf
zTJee(J=G^Cou3yC3=anYLF4j`-HI=7Jip+{Sh7ww959Q#TeM|R;yoAw@Vt2;dX$#C
zfzRE@ab9oe#+1xKaxo?+Wd8K%L;akVzr!QWMD7d71c(Z9nb1TcKa+3$A4AATWf|qZ
zj}bic@EM6=rlIEN#XqbvNy5MOwr@5QRma?X|HM9e$54p6UJmxs#)c$*R<K1hO1|{W
zryu~QktXg7fZF+P|Bwn4Ed2E8H$G@pvp%i&I}*OVoUN3&^%-Fg-Q6V2Aes^C(P0EW
z;*AT-j4PDvz_<PyB43rEbVxti=L`&-T~CujuWbOjq_<GFcsd-Mp}`+$Rbql*G72-=
z&<6*GmX?-`QT3Ub=0C|@3K%b42$Ivz*X2=#0lR%kMMc$M6aH8l)oC+a*e$eRr>Ut~
z&SOztzL#5WGko%>*nbk~<sk1&-KrO(J3Kya$b?A+Y)7_w)1PNU*fg8Zs9XmRYD?*R
zH{M+g{)gSV0a43zkYBEI#_MQe0cUX#RlfHO`amRdTOS;wD0#%NzE38?zST+m3kQQU
zLsZ)?%o|+x3dVHs$lv<V;Ya-Z)D*ytk5xJ}=xaFeQ`U_oYyWAt1q3@AS0mN?Cxy|j
zZxEJ@GE8-B7;UqzGeQxqSg8uAfT`)`Fo_r8)$(iori4s&%oq`TeEin3%F2eAoGx%S
z-oOg?4t(iWLEy=>CkgqEt{C#~CNKSzmj}8OS^shXS6_1cSz_Q7PS6S+ULHd0ZPkD<
zm?=tmBSkNV65G@<KFjo>9sKY@I~$u?O;qZ^{NIgDch(v|OE1r_1eX8VjO{<9cjxWc
zV7iYL%6X+BE9-vMXUKj~(`d|ONf_jG&_B<Zk#w1nAfH+Mb(ToP6zBHk5-J)2q1Xui
z6bZo$|ASfMe~{t7pJM)R7@Px&7w2kglqWbosSo6<Dm`22?zaK!tN}O3L!Q6PNw|SB
znXv{t=I7Z;pWf3p+btbBXI_7h{@sNCg;e=}!#e&eN%;TUGoPtb?J5xwk(@%!H}ZZK
z3^}xx2{)wg15lHJWsRTIr;iRZEfHi2H3Ry!@}Mq^J;0r;7lDF^YK`BSp8%k&w0zGH
zS|ndXPfdKvYcy*5&@&f-hUx<pX2O;K=6th&h5geUF=bTmdjL=%XG;R;24Mj}l!5UP
zh1n2caFd7z*81hkEe|)hHwEQbeVbkwzaGjLI((g&xSsMl!3PD+9;H?%V@K+R&9${P
z3K-YN9TULV!J*1y=UxY}<bqc~>)-j+rUgn0(w{!|E^HUXf-09Fb!*}s;t;=LU0WE>
zJPvjrmZX!f>*T!U@8{<SkKefo?G=f1@fD)pqcF>Y*2tjvp(KjD?MHyx?p564Hb(9f
zo|UW|g^rPkbv+x0D{rK}M;`61jupirs$CZR^Mp7F|2+BOO#lV4m~40&t92H_uArb`
zxV*A*J?@2wu<#+!=&)jqHVl*=$sX*1NyN>%DyNs10hlp?y#PP0{r-D{j1gyyx&orV
zlY-NFbQwMA)yL3fe|BpHBrOa9RGVMEM_|^~s$FPE!6{Yx7jrAA-MKSGbn(IjEM=cP
zwQ0Y1_!fJb?^gTFTqMfRcA~~@OcP}Q6>NzQ9_bKl(S?RKKbIB0A!=+FUR_#VzT2Kc
z^)CpT`xW8<Tx1}^K~b2O{JOu}NQrqrqcx~Q1Od;;$K)rCQUvu^KMw24+f41`+m1D&
zG_79D^;L}K{RB`;M%7l+0x=_v_0KY4?obUt2wUctx9Zw7O#QR{*ASj2oRuGkK&UTo
zGTneeC9Yq*fWA&J5mY%e`USDBaHzfY^h!&D*Jg7!W@{T1|MJUWW%s=NfRh)yaoM*n
zFK?L_DsdI0P4YDz`aW8qY97aFAYg!6jhx|daBx`PEr|fTr331k0^HkO&AUDoL)SYZ
z-HHRVEspY3Ja_u!0_L^+Q=`^y(?+appFzJk<+KA;LD9oS-lDCe-;=9ytHr@1w=c~6
zVw_2ypYv#ODQ-(S@}Ar}8>^Dcznd{Eak%IU#zK1|n~RzWkR8M<i2<pPmL-aOcKUcy
zllsU@%j@e;&@ClO5VNA`3rLV*X@T0-0|T26N+VC1tfP7tM4q660`qvXhV<EO>`ZEo
z0s49#CI7@Z+es)rBg0G%0KqZFiM!VcPNh+I&AQA%hG!4Gdhr5QUVnIU@+6(H|L0G~
zD4uy6*u28hm)zXLvodC7L`foDqy)dc(g8nz>m{{9W-2tbSy!|1oZ!R)mW@3fkwsxr
z$HVONje79Vca*QKlAyytGIw`N#4I=GOY-u=AZ6?U00wuxVohiQRG+>2vUMPinL}$<
zKWsVHyM<?L`U+rs2T&q*b8{1821WBi;)@p~yg+T-oztKqU--slqz)<oMDnfBJM580
zweG7XOf;8QD9v8>&yAqbaG|$iIb)-vqXLS;58V8urKQz0aE*<PzhMKve(f{atUmH@
zI2{o4*|W{b%ew{;El`}Yi-EpAafe{?zSZoBFLql}`AWw{<h=aWO2d-&R^B&p8=ikC
zZV$G({95Q%7=*R#T_xN|I`X}={`L;#Oti=%gvCZXwEcTA-OwnT)~}sc313@|g(vho
zH$2iWJbn7}8E|je9Ykv<ywt=24~pwEGBQk14xlOGL>=CXO_&ifiFM6kq%f=aA-6#b
z=Tfy<{j}MvTs`n9C&&6F<E?5PlqH?-Mw5|ZJQoo#bhGe-t)xdb#!(2+H?dr4H|DNv
zVuH?Q!U>_>hXCRfLi-`V0vsyFo1_t1f>(s3Tt0;Zcv_0=Z~(<9GR3WxJ)`ueYs(`C
zB=G?|nw-XSl`nR4vl;8g@{R*F7M%#t`9(z%<9WwDhNVj!3}SI&Ob_eDP_@|QPv#Nm
zEw%=xJe_j+n#Qxy2YWrKA@0VW&nAPbAor3Lj<^?dKpuG|drZh{YxW0zKXG_XMDz3B
zRx*i?_H<{3Hvmwd-n;dFoEcN?DCGNrad2pemaE+%-0OZ6vpC^KDX1*DwBP=7lqJn`
zL7rE>SFqnpk~v2E{>iPT(SrAGnpsL->Kc`Z!~NjCw@%ax?6BGG0~A37Xe{SX;lkX9
z_j&}y>{`DV((f$D`|A{BK|K_d0pqIXR-=JeKmnAh9DSz2T+fZ&ll{Hg+ec+(W!EXq
z3S$wV0iX>S*F01MfKfZp;Nk)5fb!m6tE1%sZBO0*9ijd>u7~kEOd<stA4kqmdtUzM
zzo>QndGZ$};5k<p7k@nqKakk0lmOQ36Wo+O0cxy)Jo5pJG|blD0fVuoFj<t9H7_?b
z8p4#iBGh98`blK(M*+Gd7FI*kdXQcc-UjNn!-`8745pgZ%g<N%tqqgWFgT(wz+tgN
z*W+G7>p=U$nyc4epB?!08J;oprJbD-X8S+|wgZP5!;YS8Ou$B&QY%5<MJcfQw_=;+
z0GK-h9)ym!#gGx>RIU2jPZ{MwKtK>_?cfl=s+o9Jw_-9{-98W>9T}leoS-ERX|OB6
zCGl8DgN7V9LNmYony|3&o>!m6UuECcOdq(z^5zV{>!C6+6>q*{vQb2Dq#_YM(?!U#
ziVAyJjJ3GY*wB!BHbP{(`@E<IfZ<$j)y=bl&e`=){V)3lD6Rjo3f2EmIqUxn{-3S{
z{(nz(Pl4HyD}v*#3r%*GKU4(~ExVolzlAWB{u6}h{JI8wJJADn_wD!J@h%Q`{@7!n
zf)*e~Xj*w-xg~X=>JFd9f&BFtFdNToR_lgFOBt2p_)Socf`fyLKrWo2(Wwux=zkAV
zp7u_rwvMRBUZFc3tgAzm-qeOZe?fS&sp-j$H$3;IFCMx>tYaw1hXr4C?ejhizW%Nv
z{9e`P`!C7;%$<U0%}|1!={H~9P?ryp`RAjb;(dC0dc~s3o+G&l72(uLl+i@0%4t1Z
z)i2k6FlQm9W;{!zS8R7+klBL?3S$I+c8A_2HPwRFD$AfRrDlVJgJvKf7lf#C>wcZ$
zUj1<9Pw8a(avE<tQNt_1um#YU)$;a6{dM2Fy4R@*URSu3jI12czg{V`?ypzZ)Vz(a
zI_q3r^yWrAaFW~6)8Y{A0)01%M&RHIp+`x7pSoHjJ8*q+jh~;ti^JY{&_4i#VCK-z
zHjt}tzP)c|bo!E)HwK_J_l1+o)UeLEEVs)C;-=O|Pq-ZE9?nO}(T>#F$#KPt+<Wb)
zMJhv=B<AC;I6C}yZtG$5SCuTGpD6>?Gh}hOxD(*$X)cBn`d2#s{-#Bva;>qvdDW2n
z@G=BI=bN@r+TQn{7qe<=YRqx97yc*(%Fz9et?y^7A(zKRM@Leb%7LLF`xVFi0*E>(
z=i17+P$XUV3tmX8hfo>mzAunH%kHkj<=;Z4+XFe8!}Hr-pdUd3Z-oRYSeF+Bx(w)a
z_4S3ByA$f1nr*lb-vqs_+hXCHPxD!O%v<0oVOY7;&3!ki|LOyx#NZCLNoTiE2`UiY
zDF;i+OQQHW%s(-9qbWRWja{Y~h>}rf!~7IFCu8P&TLx`RChc6_`Pj3p&Wab0*~|H2
z(tHF+Ea0G3N%;ZXcguvZR23TBdy)HwRFzQZeZUqp3~uU@%4mirtGc<{3nUxSNI`_k
za3^tbada^;F}}qBQ%X&}HRP(4aJ0Vs8wD)fvn8Cu2Va6^Xh(TBV1tQ?NwC?;S0jnX
zCxbt9gKn8}ZLd3ymZo(x!@4<HU;HhZVDi-9hG2o~&hU&-U4Y?wEax-xrj93+lWd>6
z(yUK<60~`f<Q_KV{a*iq3hixiIvy#Trcu-HG3zF>eiQw+D_KGD^y55Qvrb(@V@t^K
zN4h(k_0Nd?i|ee}DZIc+R3Sy6|8XNKvNeMx_cHwrsl^@c(5<blp_Ud|`3@o5Vi4H|
zV`F1O@CE0ctCxe~GgxXK!h6vd)HF1lslGabmQIfg>gMKiUh1Sq#7Y<L#>T}N^IP_$
z#O4_1pPdOP3}MvqPIV)a^3hWM^!4%6SF73Z3MO~(xW$!Y&<R$7{c2`SINu9DCEW;$
zJYr{OcWHdz-Q9h3;i;CE5w%p+{p9X?7myQif1na9%*xE1YhPMgf~LlVFRD|wqVfEz
zGZuDrY%Zhkf42R46pJe3;u5_rwQr%nX>4yNPAnu?;E7W6s<xLB1-%1*elI}zft*~7
zHis(v<lCwZcw=&Z=mVlRSvMRm(;LQVBkvS+6XKu7X^UEaL5`0;CHwYEq(8K>=I0jc
z)MD8*R66sMT2&Q)vK?iYcm|8N-@~J5etuc+SAtjReXrb0?w*{q4rcML77E6u_e6%=
z*kiL7A4w(#TvV%ofWQg${%oqpWVQR@4u*;T_3~$ynip&1)xG##NspElL7x=zGoTMM
z8nNy>pH+l02rm(D70SrdxdM|*w~>^SL#+kus^DX){!owO6ay--@kWiPEFuqMk5P(p
z>t+%Eo`O?CFmhhs)Fr8bZ&Cz1bo>5o<me^QzVZFmXy=?0F}M57p5@o7PIiYK^qu!c
zL`2^!!n}Du(}jXQMK{K;bPp|oK+D25{iCCYPn@=KsWcxxe_8#Fr|8pf3BX%KquGJ)
zi9ldzXsBP1EvXDiMR_7{8P_(lSwc1Z_LKg#=bi6VHs0PisjE8i*0BRdzkU5Ho>1|=
zX_?&*r{l+gO3cygISm~h9W#O3yop_Ut{TM8kAA=TlAUnwNue;=!kfuc1-ZGDgeipi
zi2`<`bhR&aK+gT{^P)l^3<g8@fd0*^k|3>-(b5{!0XspmF^=@wrd=#-0QOPB5<36-
z23IO*u2r-<I^$pk??ujdz8tFuR7mUvIdk4b<L;|*f28H-jresD_?+*+CHZA$WihW6
z+Ie{$5YfMGZj5rGZb;~ylLAYhzws>qLNzTUo=9sk3pUgL$}iCH)Z$Q%HsNS>WZHNG
zmeUS8s1mjEw2cUC?X9h=GwI@4{<uMFGC_^oNOe*flZ%VWx5_~w;i27V8HudAE3Ko1
z8pQZwp^d%$WB@o%z3v|VU`fv!%@dX8yO<Q?%G^cMdKVgQNmYr4e$L$8-6d-5qkk<;
z#;Ly}Yr>`SM`5ToHQoVy^823(3++21Q`A!Cd<>jM=z)GzFH8*f6KyZ_He9K)mNQfQ
zGoG?qcImqDUl&cer?jE)cb<pluXO(I!CThb$iHv-l@h07|L*Oxj*CTq-ZBztGJF0j
zR3z{=vHzX#d(4%8n>y?NOw9=W|Cd6v&Mb|sKU<aVk^9Q8?awU2WC>UE@m^kg^UZ^d
z%Wz++b?@vL%yq`YiF}z~KfI%hH=fpQ(ID=zHtv?X%i}WN#Y+F$A>@V%UK(Lx$HKOU
z>ySWvXWi|6d`DezcmP*ySj-;-D^sM3;`3A$SuMkFjiACBlFF0@H4wHy9Pqf>ElPWb
z2L^1n>!0fASS~LwZ_~eqgDD}h_=Na6q*vdNIaiMx2xH8!LXoGGt(!P10ow#f%B68b
zEv?=6k#?5dNm^Hr*<L%Aw;TO6+qy^7w~%}mUF7ig7qkR>m*&ANxNMcwq=~Q3q^&=x
z32}seP8Lo(BXYzY**2a~w-U~6A1IN^%ml52?zCpffs+(l0Uz;?slZ<e#&PJOl6n{5
zkovn)`zoy$w{o@exbPGBtx=Egox1;?D|cmv!Y9&DXnTB+lcYGj7k=qA_?p0lAB`qK
zdf@CDjDjV;00^iEkA?K=11|7Yg*%eq3m*hip8=lYaJ1!$Pmb$dptBtwJPOPNN_VRD
z!{X_PZ?!ShM#sFq7vD((zzSRFXOHeQv0C#$E`z_PoXhG-_f$b)As7D1opd#pWA+=~
z!j^zLB#i1p;fxHND^nqc2ID=ur0k)eAwNe)DgS|qMt-(ZA(asXxR!Hy_l^9YnQk#~
zG>r`m><mrMhoy?i7hH3=^zO5jlO^GdkbhZ~mv4x)Vi2~ByY+^Y5b-Zjx21t{2=HL=
z%k(RBQdM6nhwuH>y`8N7`?t8T<x4>SEZm%&b^Nb4SWPc%+<WM=G>~)JU!O1a7iryn
znA}}ROb?+R^$!5lCy9cBLcOkuNdUd0G*|o>T^0XpM{58hMa^2m>w@ThIQfo(ubl{F
zdqsJm{jkG<4T^jg4!)RO9oh0dQC9uYoYiDbpQ8y6G%mSpn$vFlAtr!oDEp2IC2w`;
zMA30k?Rr|QHWJk3MXi(#<=IpC8D-@XC;E?5H(%JyydD!k#%T*#w^0keTzODfbF_B5
zKNNc^kT1S8GL%*J4JtkF;<KiQZLVFXU6BYh7TWxATjEihp919z{KTmOi2Je(9XH7o
zxiBTk4Vk_c5Z8{RFUwVm?D<dOI^#Hxa66cObmfb7*wFK_&>I)%U%&0S5Ema`38Ihv
z`w5G_&oX%cFp&`2cg;Bu<8#ZYyFL?#H(W|bAZ7(je}i?eUHlB95;&qY)Cm_k*nnQG
zK;UFQa*k3bt>b&`sA1Bx`r*q0GfJgMG?W?gAp1_yeM)sf1uHTE;poS=gaD>CS0^|F
zn4I|Lh<%Za@rJCjF!Jbj+KbdN+Q`uG09EVZkMBPZ)bB4Au!Pdmt%x%b)tB8y>P^7|
z*@J?8yn51cOk;5fBKl)FQW<QElkXzPZqoEhUO+8&7W*7}ElSIQD3;?@PN!FW^Kg&V
zNwr+>mVzqds@V9i&0og{+wcqGKb->1&CQ90imR)=OaejL6efLH=SAs=M<J-|&w(I3
z2<RqJJtHGA(0A@$TP5~>W<QoCG;OkPTf^}lL;gyLyVxZu23G&g0R?iBmFP2YSN8gA
zsEYsat`=SvWX`%d`mL0FeWoW@foH+%tESHSn}|;+DP4SInl^Ii#@?lttUIcdY)+SZ
zZ^=0Ia`xYr@^m^!eki34i@@f_9a6I_w%1?phr)cpw`08uffP6(I^OfC-$2@q8{cj>
z%8;JL|2o5zrZJ4*Px{w&AZ^&Qxc)ay3?TO1>JeEt6!AOUf!+A#2H-R=aF+{sphmu%
z84G?<OCKn*t55lec&9!{bwx?6FFv*wI*G5eXMEnJw!@h@H#anI{vgeB`pO?1NJr?O
za<<H_5#(Me*{QU-o&IJd++|t%`ah59S(THejz`~v;qv;Me^BDS(b<xnd*=n~59TQN
zilFS1n=bYRmwFV~)A*kj8kEk{DE5eplyi46<tQhWa`u|rIAgEE44h@7$7{4lyLqjy
zzL6TsAJPFe@=Es5gBB_WQO$ARYt4zxAU9Mc#nv^HCa9B^PZZXa37T2i+9Gdya)3;N
zKuuk}nEPYI=f$Q9fl|v}d%P1;nLZz%+nRq}Ra=b3E9~*~Aw19~&@zZ1{gTzH1qFZD
zT~2*vXR3)=3O<YQbx+@wU&Vx^f+m5p*3ZDf_agWONzwIvI4UqLbV4o39Nmr`02Vao
z)aV63Rer_(#AW)6*NV@54<c$RLz2(&NR8yl_nvpBD~QA?KRG8{C)iQ0(9dBIkdt$(
zf;=A=_ys^iJ`lVrWz_jAf6Xu3t%63RYhb6YfNW@MERoMr1@8-J=Q(5dUy{nK<E147
z{E0uYYXEqSyE1(#H@;<pZ=Ct$*qz3(YMv1MaH3YV8xyn{%Ga3sqQu;vr`Pmn&EE~<
zW>wb9;AELb=)V$WR@tlYSO8?Zw53iu0W{P;V!L->$VE0hJWMt%<bU0h%FzRWR_qvD
z)7aQw`tma##~0MC+#qZF`RiBJ<JTK>jc<h_RkK1UssROQazVg;ylT^66-(C1V|c~)
zQ%Q-lGw_-ggSlGqc*%gvw1;k@{y;m~+yJI_y$Rs~e2Nx=ZLyt(VPbi{rlaU-@1ixz
z)r(Rf9_6!ys^FcFSuwIUZP-lh<Y;E683M3w6(9x5_|Hbmtm(o(FN#k2!yYg<Ts8!a
z2gp<4oYGbczk}29J+Kp`0Evom93zDs;OiEr3YULxv4q9}`dttr7jlF6tW%0A$FTSu
z6QFulTN!($4}U_MdmnzY^vW`Qi2hE4u}PN@5vk)p4fZ9gBConw#nD`a|GBVmO|a2H
zcnwr<xHApT2$jk^@ieQ;&`=V)WvK-4Jw4?{Wf97M1;w^li&q}_jzSwgrZgKwFv9%5
zu?a>XnZ!g{ufXeq{b!23kvW}s|1PwoGEe5uZZV9>L0=Y5PPP}bhqjKU+3?3P67F7v
zo?x(ztx(#E!M>(umm==^6ZuWIqq$?1p3Vz=fpC0oJfcRk#`4A(+QQ5kPY?W)+n%IW
z7Yf(1R?`~egDit08jTu5YO5;hcZTC_mOFjO@j^Zhpi)WlS@yPli_sLWY4IzHCKG<{
zqv70<bF@=Lref`>IQT_b4;SMAai3u3ZVDt>)If`s=G9qmr%5K($bbGCmug(0O<@I1
zCyY@NZaQWuNuy&ZPMiYjGYEm3WAk~7vu>@k<D^rSj8{7LCbbR434JLOCcc-y2x@PP
zZcN}hbU^QMHdkbf()?fSy=PRDTemh$QPHh{ZVO74Z2;MTsB{9vEh>hpAkqm6(tGa#
z8#X`!QiX^#6+-WUfFfc*igXB}7bzj3ga85ZuAuvQ&hx(KjB~#4{eGPBjpKkZG~T)I
zd$l>Qd0lhO1uLplVR?N8b!$Nn8B$e_tBD|s!b5#a5gr@+Dd*i)2$lwj&AG)A_VWV9
zpUcS-_4vlA`9}F@Z%^01->~mxa6@6n^Pgz1J2oUdtG=~9<@&N|#&y&q7BLo~dG|I0
zfS=0`JoY<=s6gQQ^0)V(2J#|UxLKQy(Z9a@_F_BXE>;Ky;lRqAT4%@0B&<n&c@n0D
zwZ|T-JkpQtFTZcIJUKnCI8807!&wrda1k%R1=j9UOtx8bF7IzwL|yq&Qa{29n{~GY
zFWZ)0Pi&mulENPvlZ0Pf2Owu<59-+-y6@2(X>{#hvD1f!laE>dninKPb_B~#E)ge+
zGFutBtgp7JIjWKRnjl|taWOrb4~}}t%|hO5N)QNo0I901?w`>Me@gtUQlgmMPVKNW
zBg|iSWw>=+*B`dxr6^KDQAtI}AJ)k2+VWvs1Piq>D<iW0_tDfwTpQaOt0k$!RRg?V
z`?L8G_8jjgG`msbQR(_{2)RAU;`3~~om+jD(t}@-8}He@D2Tn?;@NzfHDP%V^sb7#
zt_MBVIfccg;DoU{DlyoJ`vN03Vxrc8&SM4st1INig~NTlLN0Rd!by1OVNo`N=LDXP
zfa1z3|3jmPP`udGQ$N}*>k@wjft~J!i4ftwBtufU*y@Fyo1}6fa<;|kDx%ORiCAiO
z?V@#=!eY+KX0=PGrMb~sQC(>PMnN<D&(Ra*YH@kn4V}7D<%Bx)w)d0^shlySgIz1T
z&pr3H^%8PzQ>68G&R?egQb2Z!HOVe>O>V@;3QOW_^vP~e{xhE-xJ8|I9p84~*bL2!
zn2<i!7ZlU|lC*Hgl1NQhE2G-{0e|}VX{|kBN!ZaLK+9vBjhGN<k3NQ!NrgGPynzL6
zUwoMwC5jK!`(q<4?{t7nHC_Jl&qvN_+re99%i3cj7pIhnM1i_9N`)Qm6ROPn`iQYD
z3d0xG_L*Nt1&2PEth+-f>qd2t3Y>L0FfZ_ag3qT2xqI`&2Zlq!$ZU3g9$Q8b#vLQB
zOCvw;u8&Ybm>00FW&6Q<78ky5Xso&iYkJf^&X0{GQfa~1m9EP2MgBwl`a^0_7@5aV
zCxw@mlKI@H;kW%>{cu4j(56@gzO%rw`^Yg6w<|_?i|fCgsQcXeN7JwVvij=lm52HK
zF>N)!^iuM$I!(q2rf)7iXT2p`fWguZm&g11N9D(2CuWHaJ%Mw%P^3czk;py~<x)Yk
z5PzI{JNdxyZ>ZV6EJ&G@F1xS9T8!`px8HA+V|e6i?8&!cEk7r|!xa+)bD>V1l%7kt
z%I!0q=#vAnE!F+V^JZcOZHv|mviTSVvT*(8cp$90Z9C*l7Or~bH;TOno#1U5ntp8E
z(j$n~LM+qI(INCkJFBl)zyufj2~>CQ{>FRk6h4&r4EIY&aJx<s^5^5;%ecrGGr0UY
zEM`8dT|+f&a*Wa-BK!Uv6p$7P7`}D<eDqH1c^5Z93NlQZ{pcW-%4!v`MAaX~g|04L
z*z|L$4dG@Sl06YU^4D@<$-7Ez)=)4%H~NS#$|^#rlds1&ZBWHU27{4Phf(+sZX)6%
zlv%a43zGoZg;rLo@z~F0TO4$^^q`+1md5@xRGk#D(Wm2U4G<q^vvAwdEniYETLce5
zNDH-}_^tQAi&lt?`b-Sua@X=76w6WlQL1mqHt$J|i|L;GwsTVnBTn<Ap#DRzEr--z
zP3kf#D{J=G2q~s3rsc1e7o@4^qB>kzZBNkM_*xJHrf1fPkUllZEPzV<Jhl^D%|z19
z<wwK+**O>RD{s#2orC|LVuCWs6|nn&yL{2hTbVLa9}79~MF#?JG7CrUSxcYiNTW8E
zKuRp?Zt|-i#OD!_=b}_2msz)~$^`<r$&e&r`bhnU@v?6A1Qw3Y5Kli1`W!yBael)O
z_-)9N?WkY<UPwv2(9p+3=quDQ>$2J^3)PtX+HyBOO@jr*&nei@75!YxF8|MSMDdP*
z$euNMc7((^)u(XRk-8in7wBB8KeqT8<j4k@y&r+hchMMb$bmQOdQb6}$KUv&x9iUG
z&cI*OZqX|;O4Wkc{{&vlg?ed?e3gI~Xp8yT{SeX{*`qZK19N0uMCB2D?EE15%rBEX
z_?LsIznkd$J08Ck?(q+bSU=)^vhc8CZ06cEy{?>JR2AIfddWU=;Hd1V0z~f<{U}@~
z+V0uBdcXWwkg_VztzWDl#77uBoaK3V1#5KqbL4*fH)1(XkUi>;B>XR)EAp06%n)^F
zAYJgu;{sVbO8Le?3Kxpwy#VWi#`0ewtp5D|4lJ9$sEo`bcBg-@aj_IX_p_%^nXE5;
zpYHqh-kql}{F6Pqh0v588eFXLs_w5l(>7c6^jEXrXW$?<utRYtD%xl7GNR7^;~OCz
z346$PKWa+Vjp%>3k^PPIfnmn*$L)VSZuEuOucz_;TT%{y9-2XY9;>tTum5$-k(Tqv
zdY-xQ+c&{CYd^m}*vJo?iJv(0Hc4GIN^q}b9Zh}4LZ-XnrLv~XM{I^9xA5+lWj|dN
z_VRx6sg9ef7<g=n&Fa1pG&Nnb*fvbEL-ES?FYd9kP~p~r;R>F<XwI9AU#};-K+U<*
z5Dk5eFf||f?V;-?bWh^#U<*R@&fomvm3h7UH1l#%ALt@EGAE30^LyQ|eu=c-hEpuR
zl#2-BdR>v}&%M|RPxv46-~WXEua|_DG|W3)w_UaDi~gHt&a|A<yI+x!@}tJ)!LPeH
zu-F8;b~>TicJ!Vt{rU_}WFp>M9s*e>e}yHe?nht_!ld(Qx)-wl9-o6?^3`!T?^8>-
ztNp7p^?5pjzYZ#ox{q>SVt40+fBKtTm1SWXnB!mB0AF(~fgTQHO$qC03`odS{52;W
z?EF~VS>1WvPgC|$4xbnL$}a8g*``&W5=Oi(YNUCo`oQq>uud*|l*BpW-;*aZX8dS<
zwDJPq-r&N@V4lQ1c?%uc4@q8b`X3GqgQow@@(vE$l#BXFvxFYV6UPa1@b3+FrbJ|o
zNw)5B(|Pt2X9L})72ilz2p95JEElY-sJvbqe`=2P7wvQAvuh*ufx7Z<B>m3UAEA;!
zt7+vD4$eyvMWWkh7#$vV%wS?;dCHC*eLz@y?`@U}yOM!|_Ee~!g<ZHU;2=aEQb>nC
ziPx{x8v;Qgs%;QNDt>H87Os|=m3C6U;m`haIQdRGUwZFcSgX3?3DO_e%<n5iO#s=!
z;zTBw@D%}?;ZN>wKFokXQaf4s7EoDEK+L>|Zm;X#dEKQ8b=jr=F0X$Adx_fx6<mit
z)~f@h!+L&hE_4V-$}=g^G|D&M$UXe22T<e+Rk=G)t&`Cq;a{erJGZ(^9!}e8ijrD>
zSm)^bb`zdl)E(;kdOSJVA#^Q(S19;Nwpd!W4Z5~};;kMxwU9XtBKhk$79jzNgZr$w
zD14*B0Hb|L=SzN^8?H@>+Q;=rz#QVr#R=*ut1gzc0jG>>k;ykeA|Xz}g^!oFE&A<`
zTcb}wlx7CXgm^JuQ++>TpV~pmeO&C92}&U1+d6#N7lczI@7}+E8ZHJH&c4h0N0=$u
za1SAt+}oJyLsp%c@V?A|NZusgMZ}lKTd9Nvr+~$)y)fDz_gVyPKZ!98yd~k9US50H
zgQ#&O2nc%*-(ar6eb-JWUGm>Y2^h^A@0>=4BiYkVZlya^@;=!^R;%|5FTpDANQ_>#
znqpZcI)TCUXvd&B4*@Q(j|I@AM*;6!`P&;HKCrvr1OsqF5fHjMU?@rRIW^qIgK9Ac
zhd9hPzMhF*&|Nz4w90%j?C>W;K!-T3EeuGBn<rnZwD;aS(WdySxPeO)8p?m=$fLgA
z;+=BSWOQiM^b8_%A#D3`U}ERXvqW<1Eq>^$Vs$PXqFyK~2BWUJyZ+AT9oj0ce8IZL
zvBQ<PcT3$vDJnBAr#qvR+@tope-eN_FN4*Wem^fah2!{Ke6NLz?F)OIlh$JS(J-gy
zgsQZ=S8pC;0iy1i>!_xi$6Eguvc<W~pfT~sbN#8yx#D?ddh;z3{vm5pc{`uV^5|ny
zrTJTCbK8;1o7ex0O4aoJ<oXhS=~xUgNbd{UOO)l2QD5e8PB+hk?Gn~P`d%TsZfNu$
zGOl@3n#@-w9g=5_W`&6)Nv@BL@1Qvcp2#j_Dm|!RtK>Ml*OEm|{i3yx`qH}bD6yUv
zrXGg9-mGv4j(>dklb%=AP|)=+bgTVi@$gvD?V4DV(qFu*2jBu^f#Z)NyW5LXHh|=;
zO^_Tu{K=z!8bsy!turgkeH8a6&5~)^zIW=~kaU7IU^vnozAQva^wq>sZD({JvUq5B
zEo%&{&x@G(D!^!LPIam&wdd-dd|UT0Bk=rI6F5~yXqx?GiKu+|?cGh)^5@N{&Mp!9
zB5}U|%=biXUm8%YzFn6XZkNaTPEIhTXhPWn1jaX)S|=gowVIG13C9TbC-mV|a7U0%
z_Wly#%d$wjt?E151Y{rOn(0`ka0z1IojOCJ5gl1jfG8qYUlzu=cfPE0rxEqu1M;wt
z;Zf)TL{u7=CwdOe5C<Sx966`n-<<)h@(c@>J({hFMMogY?X);=$R7AO?c}KWXoPsw
z9gR}72Yu)4v*9|&o)5Wp-x8PFu0B73afJf@HEw*`AaySg7IM|~8<slO=zs<ZWl}qh
zAmQ&|I3HMUJM~$@54D^e9mfIhw7|Lb#<)wNN2u3Xp8o3aCpfbcQD@&aBJ=zlx-4iH
z#tdfkeXaBb(>L%rCVnd<*>gdO-^Ef3T_!4xj$iT3V<1M<XEQ^@Lt0V{qH84vBn&*S
z?7wrzbcsvi)T0B#i=5Q<$AL42sGE#am)F}%$4O~_%m3G|CLI9szhY+Q>yfPE+Ps$|
z;^L5iGXGvWuG1D@ls`IRz`OIsuB7hJgRMhP05L0uZ?Ioa>~JN(5_=?on<8YtM7ONr
ziEE}|D`8^c(dWM&7}geD@#k+6GrDzas|XO720(ytFfiykBK%P3;o&H8DXDEaitaOR
z?dNab{qgY9{`9W8v&}6nW+2H$SbU<e5#$ixHoARVkZTACruiI}QEz{I3RXiNyaeP8
zm-<i43PK02fLwx^t2e!s@Ojf$v$C>yS^;Zzeg2q)g|!~~uYr#o&H)y_>*;aYY1dau
zq@7bfH`@-(3`!V~f<S))gDkV)v9wpsN(Z2dt$~+d5oP}6yAMwsKNw~QUv%caq(qS)
zZEE!OyL;cLmdP6u8>xuE?`yN;n~BHh<X0dw#jO;nus#bmNdL?QumEKp4ynij4sL?!
z2fX)>k-;$E0WRr)mDXK_XK$aijRRe!tTuu`ELTSEY~_S;dk-N@Op@4joq=M@^9Iyb
z8bAE$I55ts^Szj$0KjC+fs_%w+eSuuAHc@17E&QP`mKF|+Uq{)y_M{g&>!bYTXmfa
zyvNl_^G+t3X0SZ0|MKX$L-2Y#vvD?GUI<p=e2+Md_kx^^YDtX0UYTs#p<sE8KlZKg
z#y|&GP<4klG3I+>mP4Z%4^KV^mo{K%kMXM40J;*XD>2-KiPT_0z?rmdnyW(%HRSk&
z6UbnA+p(;qf6fV{I_L<$wn)Rva(Py~f7P$==*y8We$K+=>cw#VxmRHM42)MR(Avw1
zu{V<MGPW-Utu4d@4T10N*-gj&W2E|{KqY6g*g-e!W*!|L{QbS&S~eQ+l0|@4gmI_^
z%%u9|r>cbn!uO9=pM7>N3F^1F!UC${Y<4!kk|+SRlh)6|TgL@10-~GlxB6O^pV4A=
zP*JH=D^;~a+<WbDmZ6<&lnJ9msWjghpT>i@bnDJyt%CfQM`b{9Y|lAPURSE%+DwpY
zXnn(Qey2Cbr_hU}cgu8b4OIS#G48zK@F*J?lN!H8%>0&tCieb}S#sL-4f6YL-1V5p
zoqoM}CZ&@LB|4RJwy5Ro99A+%6r@TbSfub!r9h%O&96y|aDC;-c+2zo?V#_zo)KQY
zza?plp3AS;av}bm5|MiJ>i3w&R?AjLP~zy{<FOk#YPZFo{ZW@C_<p>SrX_aS>tF$c
zV*6Vz!aABkcZkIf`mC<lsWbiVW8-j03|(ZD4D=A&a0T`pc395*<l>dnY?9jfF2Eho
zkYPu|$m}vd0!7{S1Y?Ox&`0CigY7I24-2{xV7A{9?Rc44W@2rL7p%!^+*a&QCf2=f
z9*e=-1a3X9E-qeH9IXK>`^1kW2OHssqmZbWcW9q$6FMmY+d(kV4<{QJc|uX|oO6=S
zN>iide#-fSx_}8t2`^yHVbKa}XNfM6`_9K2!PdvlxTJq}vx#u^)Fm0aHkFG&Kst8S
ztG57A=ZQy&V1Sk}(3+wkl#I8*Y3U!NJPlT>6Zr^;U^768SA(lVfGKbT*+Bt=AXUTi
z1K`T-9UV9I_m8R8doh{uH&`6VlxYDCn)%o4jS8TEd;xU%-cauIV6Aq7e+s_B+qm*3
z`d!8rw`#@f8`G7q9LaUURTGykhzYbO#*QfLITQPMn6IKeYbmA)#nWhlE3gceW0{H&
zYIdD5<nHO%g$;ADV9L+K=OVTq+lZ3U*HPH^V|@{YF7PK^;br1$BN>WO8mxU0hx3IL
zT=}caqd;QRMYDNWKG4!spK_HrwY0Rjfl2)i5ZsfBQ3z*ffxS8~qJAnl8O(i~te`mH
z&^l&~Zr7eh1nGDAdvG^QOqA>Zh?7W=MueU!tO6-b@jHmJYk7xJStZ+@*LzGh9+&rh
zEaqZPkIXT#);-eocSl|7rNc6=|6U#8ZNGBToeR$9e*=im_W+VQIjVxX_&c4I4<x~`
zRAOpswxU4B{&ds~NCrOvwkfDp25&4QCF4C5_xbN#5AgC@F#<cQ+gy+K0E8Lw=<vA~
zn~NG!CdHX$u^u5=KnU<Tc2x@q>SEV!mV&InAHc2;U!SO!E7cU!TUah%Ub36gC%Y{;
z2w8#O>#F&2<sWwjSWY6_l3u`OzOg=)VnX-M8`q&94^ntW1t8q|(EE_5ysXkM<DC89
z&l_-<f1O$3X5(J#FMa^<$;nDg<-$u~nZ?peG(Ncr^a0(>jZG5&OBsIOx9^XSgy~n~
zfBcLH;JhqJX(_+L5R~t=2Qj0qhxB30z5+k8Zx7uXr&>U$HbyLu#*2Snzu-Q^LKXk@
z)iaud2Zq1bGuXIU&}^dR&~j;t$0)5{wZ1=&{wwOwJR;H>k#{e=(K$8UjAQGNKkNSb
z(0Yw9nXo#JP!4|f((K*%%;yhTxvs5+6<M|Q!#a8@I(W69qNc0p#Tpm>lFb#w?5eSE
zyK4Um>fk=lcg*+ly#y8%cMQaj53VV@Rn@QrWAkH)VC81hU>DjKnmm3IT+{vZZ$yr~
z%<qSTc^5HBmClzS^n~VC?wlux`4NJCe<vzFMRC|os^P5c+#c3$EHV&>PG0KWp5*Bm
zT+z8Tp$mKU%ui3?;dd~5jz}H7eYn!^UBvei`<@%om*%v=d-(D6)h%8nV3l73+C=tk
zX`XT8yu#KKRq1V>PhWJLjVlv-6O3*s2mEfGt9Bj#Ss`n1WRWL0xWzXP-_fu|yxVZL
z=K>f2pXp(lHo6F<C0#H=)|^RDah_zCrM`91!g_(`TuVEAI?BOx=PVzx)~01~ddAX<
z1cJc6DV~^9Fjpt~<#3~dn)1Fe+U6$_n`@DCeTVsWjN7M!;(vD=)SivQ->R88*~|_5
z{F#|-RC*K+0&s&-Pb+RK9c~vtiF{<tT_$(X(3Xu|wEmRSmbFm7&0-(A?9fXLhDL%&
zXB95yOsLGQu4K>jY3#)wPGJTTIp~b7Cl$qnD!ZgfW<Hbe@63>W?-rDzG}<XRxWjjY
z1sDJ8#{FG(H+(6qW|j#8p=U*6#X7eZ4iZHDOH9_P)|&s~>r157Mm(bls@o13?+@=a
zLQF&sDklpD-Jh;gQy;j)!98dUMlavRhq`1?A{@%N5uKrt^dnMr(RlMgy5QsPn}Z^}
zT<oEG`q^U=_0wD~*H{^>=KJ}%^0b-UUgn(~muc6atfRE_dyONHtz@5`jlJ{jg)igF
zvp+P~h!F?S$^bvF%JI$#?FRq)M<1=L3O~!|oAX#bOZiE>0K<mZTU;MfKl8k$wjLeM
zQp1^O=?vvitV=NlJi|Hgl+@dCc;^b~4*13c;ddViH?!{^OFDqPX}l8n!GlS>P%XfG
z*`*nD&z=)V9Z;9tO$ig=^yC~SRl7MuEGyDF#bY0P^D}38IUs|AIPtrAWmztVohb6#
zv(i^Gn#GB3zuhzue|TxEOs-}L7Qk{%Af)@v3#R|mZwE9;Z{|rRH6$K5u~sFkwrsro
zR`KY1PfNkRH(M0-0aDGJl*_?_0_%xSjj3P6p{u9Cw6L+_V6t%U`@q*h>Y9Vy@g_oo
zzkQHEIT5jxX8rXApVkCB_xI&ai5sXa?`E4nqk@c3Ly^kwk4S>AIb7dWGI-gtV#Rz-
zJnw9oRCUw&b}d*=PSa_~Ta;u*lp5-$hEUR`B4`*S%jxvdnvC!VVem_P@>tSX<vFd;
z%oc+m*}I3X-1ie2#num4@H39P3m1B_Z2rTVoQd_UITM~Rt6X)^eII2v`uqo>1*Wta
z>kxY!n>0%fEA}}3D@Y<T2+IkRbmuuQ+W1f63tSh(RS2b=WpbJR>_2Jp(fy;WsE6b#
z@wLBsyEB?h8^hB#!=^(lbz*Ika79A?^)B?q@lEMkd%Cwri1xF;**GXRA#9qf#R-^2
z#ufdYTXSWA+`adFzLLj9-Gjt&8?>>rL;M&x(M6b7C@`+qu;BMd-m4pTIAk`-(Pyx<
zG$NX>DQ{z%CZ1=}R4JpIHEyB7-Igc<Z?HH(nEAZ6N6py$97mKWd`nYR(`z4jc|4F|
zS(-XD#?S0NUUT8XwJ(gO#{tjn1D1{hptQutXYWrD?hT%}W{R-<PMS?wtX3F!V*NzD
z!bJo=_u2ULpXa6^eob}1)o@n2?{CVwBig!$%sAFJLKb!f0I5M~cU0b)B23`(5)$Ij
zts86A%fGK}G|vpsTM}f(GVl{u<t5FBrm7zGIN2L-vS3rqRE-;6K}dmvBYQ^<Z5>(n
zU!uaecHDQZT5Zx~ga5y>$&+`SV7fmU_y*&aXNEO_8$HK*F*($!<27pZ6St9LroG#g
z6Q)KxQq-OC?8&yiA|aKSZ;9UzU%et?(#!>mLn)AS`iDAZ1B9bYXt9X%JLq;%8CU1I
z3BVxPBmc}FxtN*JQHZkT9H!Pg)VqZpy{`810!7;+WIsVPSdXJOyPrvZW{yejd19R$
z4{QE{kRB+;ZdCCY(@6shJ{wnUzC;rSaW_VLBnn7A>$N!d14%bC%4^Q0UQBwI7pLP#
zY^jvd(~4@m(Ati>G(U1%W>NiB>KBJ~;&z-s4eTDrf<}$Q3Ks%Un?(O0kL`|^QI{LQ
z{IU#dg!o(zW#zw$>QK#8PiYGC>felf$Xp37MYH+zM9O<Fai}|tB^e!@?4vNEJ5d~Q
zDx~uOK|U&I<;6_f)q7bB8)Tm4F9j!-O<ViQ7usJ4G`I>WJy`bRFCr>EDk~@nm}Ots
zsA^xULcmeVF?)wU_F{={CqEV0C&G6T1&VvpW^}(547GennkAZDn)A}`O7uPQ??;fM
zt-BE<y~k+l%f8<VaOJJI!m99iBSePEo+od8IoRgiaH$7`==*QN%Msg}s6Ec7tL9bJ
zQKK$i!sn6KuVvm52h+>&k~jt3*jI3jhdF8I%F2_lq*uB_5%I@od&i{mLL<w70|n*+
z4;<wSFwhS#YqylNm+Xkuoem8Vn1BUu#;<YKAzv<62wuidK7Ajh4(!Ig0r{eXl)CkA
zf9?tzX!hp*<XwR^Q{cqCa^wl`(}TD>FknShUdAc#)6zBHq9)PTZo=b>)w$n}lcTLy
zP+2da6S8lM^)EYxb8bL|pY?l_h03GKDu*e#dz}+2o*Y20H@VmXVX8Z_s9qF>5SswR
z9&Z28UVgocSfja{z+&WF*SvV;()A1Z%t7?Y7n1Xz;7oaDMi7gxfFzljrRN>HT!aSD
z)IJ5dzG^MmdE<ait1OJJ63MN0rR%7kL2<j~g2(q9sGE84{yP)P8V;dzCYQZrL}J(O
ztump>oJ(q`QrFU!+{l*Nqq2EWhyDGnnt8C#;5x76V5r9)E7cq9{485C?t<<s9f!0U
zbig~I*%ABJ_F3xud?}X#w4A>d4Sji{0eN?#=IRSo>h_i6#}7A^sxW>}iI)`NHPpQo
z^KCs+QwvIx7%q(I%ilTi3kH!^j5E`VH=p;pV9$7~B67!e?%}o9d`;7WVyNx4*9VFt
zk|=oOV7aRg$KQ4)l}FTP3=!rPMrQS6;Z%q6b8_tR`sTX&AI4C}CYYJh`g7N6SI){y
z;UXS$2)!Nq7*P&YTU4)djWuK`Z8ctapIRFG=f4t_G2cwdmu0K(d)U3!1n3}E0LJz9
z$tNc#6Qr3`s~${aWkp)ww|-5ol=ZjVzK+6GR?*<ijJ(>N2zDQ(&U`C&xGO0IBEpw{
zYH-Y65kNvLmm)vNcc?hn$C6_3V%G<}f7+}$u+oXVvl4>LTuO%-_`7i4Y&_e{HHf~@
zH8S7OE&IdtcHTIZFZ6R-!p^}v6QaNjY6C*^Y^uuBB154}oADHVvKQ^38txvn*`^v(
zp*Z*BOa&p~7oF);zz_zE<|VNM!-t#l=y>UqjCQ-&Qws8tceJq8WLA(2ad2IYvf06<
z0mU-Ghe*KkNJ#zh#;MRzJ;>e+?566NGg#FSc${up|2_O85J~LIY=4*c;(}OeePXQc
zkFJfR3mJ4n(aVF^_8)GNl|sfv)>#(c^IP$fE?gs&49qV-|N26xqAUa^B%2ujF7H?v
zDulMU>fb<K%vl)S7Kd8F0RP1v8<>7dQD}XyyBsAcT_DQW7mS}Yn<jJtnqTSN^ecP)
zDj4r*CX6a(j~ys%)l+M&PI1fe7-)F0xPI@mF2%i0rw$j<38(9C#w)n_<rS{^$V-QW
zslsRj!Y7kTyXIP@{;1&Ld9ML(ULc(GON`sJUzn9S3tbPBDrjNadHhkJ6+Ch|TC*M8
zVZ|#?^pS4WQ*99BK@^5a%^fyIu8_3X`!$|uYV%z0yu<_qv3HpO1;FRbf7%!%-~I32
z!h7V;nQMb3U>p5h`m~Jgs;>@jDC6{$o9gGlUX*P8Pap)GLg=%LNu;&CZ%KSyhMdES
zw%hH~9o2V5f-HksZ#J%7Q2)24V!;jjjI++P9=P8`%2VW!ZFw=oq3KtyKOp}nd27<E
z9{IqkBRl#(3o>Y3SElY+$Vx^@JhX8j5OJ-#H(<sn-@V&9lz27<%j-Sb`);%Ou|E&X
z4*l{I0$H2_w^+(<t=Xv+I%@dhF6|%;eyev$Y2FObf2mPY|GHWQzK&^jKKYK`Lp}yX
z=g+P|=)IPEhuKxSqSu*y0&!re^`M*c3I#|8+<bkLJ~w5=ej{`}eZkj~8eg80AejXQ
z>B%3r`+|M2#@4#ZX&1!m3g}#fW<BrV(<zYm?d8%7T~LvFp#k|SY%y_7t^UC!9-8BB
zFqtXL(`1$qMZe4=a_n;dT8$J*eTF0gXa7(j1NiBumkzz=lHBtf<iG?sOMsQ%8{TyX
zM#OGh*_n^=UjBSe>)Z>Ngu>~NDA<fP;Qnn32BTC->@UFY_M9{rtvB(nUS`I;0e6F$
zn<HNX(|Q&c6%GwYO5)UV$m+i`3m`r@;EHIed}L4K(%wcYcJm~%qZ{OaGdH+j+CO$S
z3{*sSFnM|xTN2*>@NhPpL>O2W3w@w+JT||?>pvCNsElT2KY}09+@|t_3e4K#mvd1H
zFTYI_bE20xT9>C<V8<^j@}8ACM|hu~-v)B<X4Ln?xP@P{yx7OJFCS!~OM^X$72YZ{
zpa45THEN;`r1UZ#bMlF@*s&@Y85)MXwI=NDv8nq_*xbeQm)xoEMwR<WSgUMV{PP`8
zwNkl(;=~J?wFAPzu!rt<{79hMRU3!y-ZVg6y$M!BKYeSjLJ_c1DNMwW53m4cHTX0X
z?3Qtp1SEwVx*f(EEcK9*3b+H8VcPCyoAVBxnNFQp<)2N1W2<rT_WdFtCwNOX7B88q
z=rJA*DsXIUw+%A;^1qNz?>F}|pPnQH4HR;p0%hlmp@sYY_k4Pmb3fH!hn!b<O5lE#
z3*8ex9vxR#WqB{dToGMV$zg5jK^9q>*P#%7K(>IMt;)=_>6|a96ZGqGW#-!-x0~O|
zm#QM@vgC`rzxtY8aKS$`=;pCUhuL;_RKA~wa#VtWa5bqr_mlH*I5{{GH8QeqNWOdG
z<>Oq?Q2Va^vOYyNLEp3Aqqk{rA0KM};ZN;h3@CFOo~kTT;?l9J&!NzhU{_&d>jaeF
z^tYOv5G5cZ{nCW?GV9(0-GOoV)76kFu3vq4hVVr4J4hY%KSSw!cQXUmXFxdnEc=)O
zdTzo0KilfaK-XfU^XK!(R~R8}F;dVdgUfK~Ou4M1%`J{&@%@KH9`-(FvCccgEp>Ns
z&M~`UwYNd4L|HotE|bYBBG8%rs0DiO+gm@)&d%EgO}$0VpRztT$Y!y}Ks&-kYZNm3
z4}U%An`f=1+`fIr^UH-ODMHijDC$O@&+YQH;dVDNW}ykB$|<$y8%0J%`SukckT+4>
z-dG~%(W6H>bY}vid<iZU+cOXtu_bxMV|$xX8N6Bfploc39Fd}BGy?utm2TgGBrh<+
zNe0}jANVB`(TJtbemiU6YrX|@we*j*de{nRSFUH_>D#i&u>Ka>3+Z-#^BoQPBFRw6
z_&lt{d8)2<r<|~JuV9W?%7F49J*t_PTjlS36dKx&C%6WE(>sh7Mp%L~EjmopMBU?4
z9qZ{I_^CIFLW@8`drLKO@l{rw9U#?HDSx?V#Z8s<cAMrzm4&#wyJvUJLbzehq$7Y^
zuko|D|1kg`9&s!iPMS>9Z=NTR)*@nUKn4D32vk&5)Ky3S@#Dw&l36w4_(r(zIg{c^
z&XtoETgEdrA9^>x88{q#PP`=E61$qmkQ5Ku&=UzphsQk+GSwRy<-g%5aGiTZ=ET(3
zgKcmvzDO~V0R4iwjeuufSH-8Act#V&zNv=o_<ewB=&r6xwxMETVzN?oXQWX>ifU@1
zeZhnLT)r(0>FqQnf6C|>d2A=6f>~QZ3vTJVx|yDyejDWz!6gvri8{p1&A5i4CfhRM
zKevi|JJ1R=K$USa@2OK&{?5(|^trYM##gpI6uFJ0t%CPTZ=?kle1)`&u}0KvN1Aw2
z%G}<~fm@_dHGD;op<8wDjF?iL5!FiATPQUCGpY7N-+Q7MB*3y@?&D>pj?`^O6!M2*
ztuATD2K7A9ko!clGY0+5gv;CsqdNb*exmO!@7a!7?|eNJ*zjB%fOF9lr+teYt(`O`
zIAJ0f7gY=D{cUU}w{&w>Vjy*%^O%a^3Q)d1+;l!ND^39vkfhGTiygYM=YhKI)e3Bm
zw20D}?C%<8puh^BUb&96`3{c)Ne}<*k)r%+^YG&82nK9q5UKs(w-KKbs)QF>`yeP8
zx5Q3E`1Qb?BB>vSr_5Y82@qIMZeZbIuI|O{+TeEo@4YFO<|w`0YwH#l7#)#(mOknQ
za~8O%>>^0PqM@qs**Y4L?AlLF?t9&Q`drwA=`B__6f)K3YEIVxm@$GT1GC<O0f$X<
zdz9lK%%NBYO$i+N_U&70tE~*&GI<iC!6TWaV&}>=91uC2n8Ki~kbLRW5EHN+KQ>lY
zOB}6K(>~prl4FMH9eJg18E3G6x6pZ5W4gz<1(-BZfpXDBQt)C>0JQ)zkYGa`dhlH^
zi$L13Mal9;u07>amX%%o1Tm85jWiMy3+6S!lqEYej{s-!*M9D}#|=wVn>I&+a&`j7
zRi0C;Lu%2#88&_SVjB?=QGhAKd4YK@4Jh`?JA`tVk&~xRnS@eCKh8U15=1rzK~)g7
zkQ(duRt7e!H?Rl%6X)T-4fbK-$^aejT0yW#oh*p8>B`p80t2-&bS-1)V^{5N-Hp+q
zGGh&jTJu#N3-6)trJxQ08B-Rjg7*UJl8CvT>#Ll~Ue=35+aM|kwSS16j3I#OqE(D!
z>}-=2J-3-X5^J6^*$PVLz*Ll#2m7&p<Q_Peww@kxz4Y86X8RO#4*1X9advk01*ZiS
zoXs*%nlymh#tx-Ueo>F$Qgyj|cRaVr38td5^$lXAz#EAsfD$0zz7xRuCU={T+|sNH
z@$~fk6Tjk!Y3~Pht!QnZsm%Mb%sjp-ceTO#6dzxTj_1&ZtA>UK7VerBlp43Rw1m~Y
zQRfQQ-~+fee)sBcDZi?OglPUOKi-kE=V#fF|M_6ICgXpf{@8b7b5C3O*x1-BqALw}
z2eh7N0P0|DusGfyL**`a8`+6&a#Uc>w%Q<?6Kcy8<Ku&J6Wu7WE!ijs7DmlIPafz|
z=7vroMi}Z89G5n^>5JW-X&S8PakNODbVI3>5M7ZZ?}FWuL5eh~>LWE}z0&deJF@ue
zs2qq%{G<{*Up#B5%dyNd)H?;(`{~I^8*J}pjOqOI*w+b@v+(?+)YR>W+qu;441#li
z;n*kF3VI{>eIG(!Qx(SN#%_J5P$*8(!+y+lhZ@p%3dwcfJu)G&;3^LVJnKVTv4^eg
zbj0lfOQLygppO^xAE=spt_f?P7A{A$vy7Y^wHi{O?P&)VUnbF2K~tOu65xkAhzeGL
zD;4XM3<O)Cra@V!VH_|VNxs++JJd))87|1%d-diB4RnrWDuf3Syu@h-j+^;MF2Hy)
zv(`_TSJ&H=w|9brgC{A=ZK+Uh>EV>g&D*&>n#I|1%NcN7qKb-K!{p>7C;TE5igj&@
z5(t`^ThLm54BC7jB5hx0>NH4Nvx`#fZWpZz@%Ana`dnS7=}EGK(Fed_DZouJz0p0U
z1=3k6NFaK4+5Pjmd>?~Uvf|!D-j@v{{fPqL1SGhiU=|(UFt&Ka5jB!(=GvMOs)I^O
zN<yjd3nu87$LXsvJ*@`!x!p2F##i>#z=0f#{Mgaa0gRyZxvZ@OkaIU2^m*D&1TH=`
z(d0-V`N9+`{5Ni<xaxTh#B^QgHbo>()`MzfWGxgPkMHX>Mc;M`QExxDTQAvI_5|@5
zXGEDP2By9I93KA-v#E<h2=Mc7A)|*1;))$zm$aHbbUDid`zVT+i86<&s&0paKNZ@#
zx;Qm_5O54#C@|$}9YI%ML$^1dqk`WMNUn*AiHaR12emu_7~||Qm0rBpx^XgOREVQm
zY?xE9FZ9g?%A{WK_|cR=L$|GZ_5`BGk95md5B7Qu6u&YuXFSz2@6QcXP^+Bb5c)7I
z_XCu{GZ_XrtWK?x(F9YbS`{>ZydTipIn`d59}zO4O2<+47E@DanedD;{plcbqZPgW
z`D01Iw`&<5jKMOerncz|;U#Y0_tgZf4<_(0QIBeg=Ylhr7&CC3pZ`7adjS}^vflUB
z$4~L|zn=A0#y4~+s@w&E7mbUPQx%G*gN8z5hYU0WLa@XgchsRnhlXC;G=2X383S(y
z!vWT-f=HDjz6~Tt)!YHQJA-tmK52?G<nda%S)^I}?97zFa_)nw)Q8trX0zfL-MN9e
z`{J+Fw^Ugfdd+6*H$U}zopX@4RYg`}G^<WZr|L}t`4mj0u+%8a>aXpu^_@sd&5fDb
z4>a{wks}n(bBYB6!G6-nwB#IV$PvmXC0Ecg;JOi_8wsFhS|kzchlrbGyxVo5Z_2>9
zX!$M<1)Rs9`RFQsZ=-0AU&Wt7p}8}@6PSi23nC2--0tYOA%U-EdM73L<A?}kMsFZk
zY&EOl9D<e1!?-fKy1M)#U%W6^k(XZ!@!6e|sH^-GL3v=5be1s?vSXR41gfTNz!`TD
zF9p}vtg>_6Ll$XrL^y?X4vkx^C=Gx8`gH?f$TRTJsa`X;S~pN940u{TEpfM@YM=SO
zU3c9_8Yr1b26>MN&1GC{ZMNw=SYSK&a;Sw29wDY=dzfqcE_q>fL^QyqU`|Ic*xnlT
z-LmJwql*DQ(sM&SX9F0Bg1L|i=t>SeZGZ`>0EWcE^8qA;axK=$;v;r3;S866Ke=7f
zY@j4)V_t>>2~%BgD!hRM^ZTukNp)$Cfo$4!OqrK_G>7Dit3njP_i@VzCyawEZ-VW)
z(bS}*s*(X`QM^`c4fUi;nv4PmnY5yGEvG90iE6JPkWyl8Kz^*AZl`2c@H9mYY!ys%
zEi*+LX$IWX6&|$!aY4f0NYTfu7v{oN>r?0}WC}iKfcI>v7+S5d?79DFb!xV)FK9?1
zN{M=8HFm%zJ7IhLs+pVVtcG~o-jTGV;jRhV3ywg;gC{y81cNDFSj!b&bm!i{{Gtvq
zisDK!WY!n!CuCXlAK|lS+?<@X=kc#1uTAve4~XSr%5K9Zc5C-WJKT&MbtyAV5Df^$
z_|SK@>2(00<R^Xq{{0IuT}yHL&C<Q5BS6u(X1(Q}QdCql09=>T%=FB5OC)eZ{Q!?C
zT)TEHUI@&zYSa09a2)ugTu+GHf9A{?Eof?6yy?6lfOYgQV^omay4ed35vwM;`uPZ^
zjh{}DcQGvnC~gJ-NA9#3H|Ci)Ebh9-0N?^#_uXDr?S>{EL=nJKT~ty^%1FCAz$+xg
z=#7y8^*l$QAg2oesJ8^tFwwEBb5`YIWGl|KBIv5_`9CVUX3Z090Fa}Pcua0qfisSD
zmZw3mA_Wppz*L|u=Em|TrlsvrW-Y;ao#3I1rnd}aRTvxXb+x^l_aS86<t#`S9B1UT
zJr7~1;jfZ>gXrH$ARENCFVAG<nSS#txY{clc{~yBs^a~lqYDISxWJkTE^cm^488|+
z^bCk4<h)kbfNzGD^(ws5cSXN`{aSOm#&li=EYgkIe}dF^*C?P)xo>Q6;3CycH=We#
zRS<g-cmyNQp{D2_Z~!Cn{8RDWn)_h^X1C7lVsn-@5w_iG#$jqAKM#rcVemg6fRX%f
z*dOc%L)h#Hz<or62w==~{ss!&+#pO_)Nj@SF^NKSWTb%dZ7g%iEfTSa*vUReOm1wj
z3?40)(pupH0?}~mvH?)0=7Z@x7T^KBWh$f(7#|p{7l*k$-w8p+P9_1b;FJ@R&Ya8j
zN^ZXvb-X^#*eS#eRR&LcIe8!A<b)AY20^@$ymP<%*mn|Gx5=@wu_V)Z4RBjsPfJve
zSe31>@0t)mHwMwJC3hMgAH)(DdBATDD7{O22r1BA)@W#GC{PU?(Mge)f_rLVsF+U{
z%*R^cP8imkX(qv!(?AUN76jd@cc^nct>7=5fVi1~Y?x!H8p*BG8d0ta|33H=<az>2
z%j6%(2Cn5C+zW(MZX>`PX=8~v89ceqbVL=D^nFLB57!12=%SuW<JKR`co28nT;*_6
z=lgjzwVf(RUFiBeFjNiC87qbbfjwHbwzfC}r;tV_?gZQM1I`EdJ3a;=i4SE1PW>Q8
z2|(A{dIl3FIYDRcg<Ezwmi3krNbUR{m1rGL`i~#>v?o5uSCfP7p<olf=!PpeFdie6
zTV{#S4A^1Di0$8A?b_0rw^!xv)BIhlrsBz>1F?{jl9K2>BLM$3i3Iq^EsAkRU^U*s
zL;YN<eBN5e={ur8gdR6JMyZS|&Wc<92;w@ZF5^#TYr-0@)I;r<<OD<yzC0BjvS7_E
zP&8`-eC@`1(V!2O*xo8-8QPsqh&A_}^gdM9%Ok2(7)YI?qij4qm&?j}b9ziiIx<?A
zH)A;w!we;typ>Zc#NZW#kZ$!3P4V366LsEszOA+^!=_Fsm5HxZ;P!=1o;>N_0$}lc
zYz>GeRHg8SWxcuAK<Ei-XVjg=bAZ74@zbYI*=uX!L7iEh$+3v9sfK+-zxIHx_jdHc
z4g)=xbG6QW`4-%%{_Pu886`-o`EYuWA=im-b&3qQ!giAdcE<~_Z{&})Eo<MBlb-DO
zhGuN2114mB@Y}~P5jYx&i4RvgSI(W>CRt$fXANs%1B}#<()`JDyRdHzuD99yBj3V~
znpoCbhXAfLxg_w$Xx>qZ=qX;_zz~!UoC!<U-85V!vLp-2vU>x+q0a(;VW*s`yG)Vg
zie|>ywIHT%*InKLaK8;gi_^Cpajk&8hJd2<3St8nE?n?%LS2-V^}Z)Qr2{{wTkHig
zBi;JJhJ!SNn#_A;y(_v!Qj(5Yao42jdP+;@I)oerUeh0lx*KD%a$sJw*00ZKHls}E
zQNukCyuJk3(P!T4H!qh2Ub6a2ax)C{>~<i^Pb5GCU`$L#g%Fpo(7aIN0}gJ%9l=Fd
zAOS43y12=E8U;eUypAF!em^?W#l-L+;BxCWEpU)eNl>HIv(xg-t315}12^+Q0QVfQ
zDY$~gr`@Ko+nQA~HiXoC*X4sAdf#WbyzS~NG&k%4R4QmwQ^nt_{lIbX9-^927PrjJ
zq||)Q;*SOa_Uw~3CRM)~P5Usc{vH-LiKa5yD-LW4(oAy$YuQ6UU|}hf8q6!3otMS3
z;*tRB1`%Pj-HLzxC*$rrL*V`FF;pqIt8)c`A-u7(vG*T@o17y?FWIcdNv(<h)G4L9
zuGwG+zF;VD9z(-`Y4oNy&{}*d(yYQ2bc^#~>1;J9Mr_WE54GUKe#L!dfQ$PF;kF&z
zJdVrxfu#A`;VOZPMa=!gQ7r&2bM-HEY?Fh!BuuS;vT!@{Y?hnmV$_e8IJ+AAc^&C<
zY?f`T=-CB^G^72o5wRmTFu|?LL6Z4t9W9l-m1|KD&<f`sXH$%6+<aLErod_%*smZ3
ztm_>AnW5dN4LWlI5%}#glTTY(+u*P4nyrE1X8@to3NHppnqp!O@%n0B{%DXyt0%UB
z)o*@2?IXurhxKnue_S(*dhtRQz#=pxKu3IPBr-a>Zrh(;0FH@}NY%ANpa429sIzBA
zB!X47OomNdB=TAY5M=%d;ob+lxU{jqtk<zxoO#>P3sN7B)G*OjPIk6h@}wNx((kRi
z0-T9ew8Z;F@u1c-0+4GSJ?5AxV7u##G^-@>eE_Dd%^nrN0^{?qwA!mo5M3GxSylk<
zQv{wyu$P^d`|~98Nye{F^z0u7eCe`&^KmZ(uAs-UcIJX_NFcD!bP5lXUju>;@1I%b
z-$}k?0E9t=6`??$_r)4b?m6QLTI~a0BahTE1T^wTK=QD6Zcnv5J|*Ju<8rWv%eEbO
zzXDxPD=?=Uay(O+Ppls=1mH+8E6E05WXZIr$-Ms=*#_+Z6HzACoM<l_>Iy8;2<`K?
z{}6*&nxADp#@*Evz$!3=Ymgk-0#KURUIG6%2<tl#Wd;sE+W80(QhD|BeCrcAjVkwd
z*^V~_2Y#Zl&A6XOQoYgppAVQl`roEMy6Z2a>j&g7UhG`(R)(cb-h+pN&DJOzfJ|DL
zjxD;!6;K*QAR_34Y?PVK&p}4Cm+gRCbOH7#WYpM&Sz`rgEcvGMEwRC>cq%Xj?a^g!
zVCu@^M<4;Vz=jVxnE%0Sbm4VLz_kH0zEulBq9=*)9S4+%S3#33csjuT&V8mZK$Ll)
zR!}OccsVeg831df1$w7&^2wX`lYHyIFRaXM1P4?O9~6vNP%xDAo$d<K%;6|AM~vI?
zpNB21l>J~EHk}WF58rgMP>_*XVPA3h_t><_v6t)jAwqikQO<zcK_p~WfjUGLWI&T-
z6J1A=CTUI>vY-IS;-rO;hii?*@Qr{@Yj8lE-ffG$WVJXi;K0nHx2k&_1^gIHeEP49
zS*#5p*bpcMfQJBe_g8L@X&3OKURS!9xanq>+Lj^83Gij@mWh*CuO>#3={z+nZU$5b
z57_iB07q8>i=uLZxPLg-r%Axi92KE48@lXX8T2rD(r+d{8huPmJgXZ5crtOooq34g
z(-NP0FflRVw@NA9<@l~%st>x`u8GobZi+4|B9KB|U6+<K<cVpM#b<J?0V#4GAKsH|
zG?D-TAQ$KiYM9>5$HQoO=7Zhy&Abg{U+3vJf2eAd7H|pz3`j+9GNc{w{;R92;LN6d
z!yx3`*o2TlbgZZ4X^5eI06nk>K%}(ha=2>+_733oFG;rt02@<h?zAmdo2Mk?Rz*(B
zA|560i+0j;KD6}%)MQvA0ADoU{eVG7_^eTxI%I+*b`-G%bV$_-BWfrk+)ZsNs0X`m
z+odpWC1@k9h~5#NGrZgpQu`;z!Re|8GZr4(E)`N_0EGH!81(w|i-Cn7NH@T$6@;|7
zR0t@iGy(P@2v96!rIe;UZECFK19AHCeWnIZsmi@;;7qwB-JDnzmB@xOOmc_};*gTq
znmS;+W$>z5am+}9Ta4)>TH(Ih+S)_OnTI$zEle~63{cNw7tD)o@O<E$_u`pjdUT%H
zn#p5?v|?NF+3Yk@!(}~;v#gQG2F9`n`)&+v(#FXnm#`HqJ&&=MU8yx;mELxNH$PjY
zs7^eMv@Ov5cz-i}8s!7;1yb0f$nanp;G9P~uT6Z|tGK{}+V4NcFBYH}-T<hpsYGPB
z+W)=UxO>0`gl+ifpIJjP3ioL!YnOsDH3!$F{EcqD|K~ttMg_1&URiM^I}BfC>LO$&
zl{9f#nkeJ-!_C&t4$w{HqXr}NM-cL^XeSi%V+Rr7>*a0+pjVJ@pb-ka0K~lg+&*?>
za8^bL(4a|*>$Paz;##0_rVpu6Yb$W}_y95>hNRoPch2M8nL_6VAwqETyIe~G%v(Ns
zz**j|eR?VEk?^Q$I9M3alvZ0*jV#_Qde~Akplyi1rlLK^^1sMVg$%S<u8rc$XCJjN
z#<P=)4{JOgPSQ!O8h<8%BkTer{Mq2P1Kiozf~FAbY@;%(^lts?+65lz!N4xs*4f4?
zs}H^Gs-f+QxnA*~l9s=}e^1YME!zrZSv9v#*Bf1O1qWm!;KkDT>MD*5Rm}>*b}IxB
zYowz+AXOyr4oZSA@=I>)QQg~SPMFXyyQjGb#)i@M{2#!@5cT543rQhC!JS(D=6^6u
z1#N(3?9^}m-w3ALD5fSD;!n)hNr{I9xMqA$?0aX$T=P~QreMtjV};gT##c!T9jFu&
z6XOP?xGM_K=isETHH(M}PH^~*AJ}m7F3$5R5GJraj#*u^{KGW`1d?UU(HCDy-pYL<
z19d<n)M&jbry$T!1|L?Dl`Xvog4G~j@^FX`ik%rrskOH39^Kh?=Q$uphe|oLrY&2~
z$je0=GtPn&`APr}6#(@2W(ZpIV#?$qL_tv5`-cNaZa}CGUjVu&I%#qagwb9=Y~I8v
zar}pRp)OT<*BE+@yyg3d1#Qq15o4S!1g6Rrl`>-~b}u-1EB`2e$xpdZ&A+&8_wq)k
z?~y-gBSoX1V()(+m;FCbiaA^V9VE#qxq4vr`TspnWH<ejW$=1>q-N#(|Ht4&WHdDb
zkotWh0ryZ)KpcsXe6cq*t4`ywvF0x)C*aL7E`S4?N69jI)HM+PwF0sQ8oL#Wp%Q_n
z5xt2c6S1^82sn%Ixtk(i-!8TCnr}~y*m<BooXr|~$s|_hnS5(<W>j=E*{Ooyc71sy
zcFP|C5U*Ri;Nx%7#-?#su;VTOf*$O)Q!OrTd4);Rt2HG2ystXAulqmHhbL19j2<+P
z-C7*-oWD}0DJ};G?2+d3b^n^bDVjk4LFVw(|1m1;B(|0Z5zh+VGUfvfo#BnVhBDtJ
zWwv_33rtYX0+e<zmfyHGkQzerg)&iy&T=V4dT#0fxxZ-QJ`k;X86!JQ?6ml!<h{{u
zt#RSep{p5s3x>6RIw5|IxIxvWD2gKO;g|Z2+66uZ{>qB?b{%9*Or+)7^HvUW-6$bx
zR|{+5i<|-%)On2#XO-0cx$oeQXIWa(HJcei7J)y#24bx^LDgSA`oQZD;1ADc<t3YK
zbrzK?q_hS(Vc^Rz&h+VltOhHPh#|#%O}*t|z>JhajDW<+D<DA1N7U`Sg$Vud#qxoU
z=UQEU-3}$!08A=93lu+N&o?&8RA-?RfpZ%B;&)a@M@RjF49U;7F1aeXBX>2t#$}=P
zhL2efRC8%{0_G^y5?j%?bpR%Sz6iRO8*oRhlsvpk{Jgy<fph}L)m8v^Y9iCJvY~FU
zi-R_J%-w07p1w_2U+LpsPKve7{S{uKTOY*sE2}Dc<7gvzu69lrTrlm+*#GOSDl>p}
zyhIByeU?EVug>0PVwl2J-|1w#a~5d`m(85`9a`ozDy^4ZbzJY8a0X%4t95lPVKwKF
zWNSfw&AS}AJHjgIO+unIcQ?2vi$AUenI1jy301<s$o4#<du$IE2Nt|=(;zd!rD3FD
zTf>b298UtOX5j}FP*NDkJePp->Llb8aCVWV^Ku{%>EsafA58<BWutWU^hV?^Ui4h*
z@9(GesKx;Lr70^;FVz{_MLpA6vI#%><Di7*8Hs&?3Uf!=j_WOYSRI<V|1nObCum<V
zT1;*qsszR^@cJlV@hW&W`NL$|v6BEQE+zrV8edf2XNs1s@b3$r1LEK7ky&pw)TEJX
zEwz{4n{NTV;Z$1`xBLYpAcU&IL1|=fA`o)&laiA+vmj*XfLAD9%W^qFjIgUW|A5tQ
zOD-$f1I@p!sxd*(DM)-u$?N%l22OOB{j%czK8jPZV!ywh)qf2_s72=Wn(A~gm$X~S
zf&mN5Q7Zh(U$<CPL;)6l5gFMUub;1j0(y2Gpg|@+Ku&=aBQ=nd6O<L#f(izDl?z(U
zGL@P5mK7%j7*8fQ64@|sgfXRJAVh%mH!0P-boVkyFS=0h^Q6uCaR@MV0AAC2O+jF(
z1kyPcZ|52UmII`a)#(-gpNPSazbe!f98wfp69Dr4B0x$HABa0^mGR-=1S4*Ay4EgW
zZDVbHq!u1Zc_ba2zVk_X>yr@EAhy8MP?O^j8f2qBT|MF&Q$cE-C<B-%)D{JEk>z!A
z10z+d;l>!}sarQ{_x~cZD4n%61DLceAO#~Z)K^g7h4r>mRi~NO>;E@@PKyI=#XTR`
zD3^udTDlxO6w_O+j8}-=G64xBgkFr9km5ifAjet(Z8ZV6jGyF*Rgs2+tdv@35cd=2
zeceCkQqw@;p3NmNwB}9%n#%@oUbt_9zAG<3e@y^LTkOE6X-PY_QK$643Q2(gC2$s>
z#sSIkg#oqCEx&9B-6T$z0la{l?zBpvp~1)-9$jkag3k!k>BLXw2P|wNnL(C-8%M|k
z8It#6pUe`Dt^Sh}aOd?^_BJ+|N=ixt`DLM*y_@5Z8IgcMloJRj80mn4r`k9P0%etk
z+6qDWiEZS7+>P3{>rh3*9M5)uT(z{s5qV`eDf}Qr@4Dw-D8T%43xMk-K%w+XicMRF
zk(?iScpKScidI0+hc$VApjlTCT&9u4pb^@Kvb0s9`JjLE!oa>y`BS;-fPp}u-^JrT
zCiyDUoC-Dp(!O2-NC3b{2&$3}vW=E9p$K?)N5?sztT-dls*<0{AnSvGeA_7NWh74a
z#RjY3Wn#NGdh^PL6D9@9dY1+U28e)R=T5^jdwnWRBI_H-f$OrD-SGy89ikae(d$n`
z(2T8_mT-2CG(h0(RQ7HTfxM>}2*VjS^Zj`;kaKcFnP!FC5d(5>wmt?&b80||bPte*
zt#^`-Z+^CJB*y@ZKp%4i3`dwkfTQ3<S0tDLGk(gcA#j|^g$qlxrrZoSclp)vP}0p2
z6I5nEvK-3~R#xfNe&DyQfr9cF0urDsDy*BLYT-bM#YyA&fFyPhRr99D5#vxnKqt8o
z0jbz~rVg;2cBKNZKNwWad}(TeB}6dRV;~@F4_dPhLr^~$)!Kl!1p=^99-=PP9q_sw
zGhTwV@036&*#uPLwH%cxaiPHyyJ$qW(!HD@7#Qus8H2gkx;h~bETKL0CGFM73{a}c
zMKTM5r-}_4jaa3((n3}FLO8-onvQXHSpO85)~zehD*TIr>7pCNs(WyW|JB-=|FfCx
zaa>zvjH1hQbkJz04{A(DOVQfW7S+d=DOD3%w3gTvwF_FE_I6RXk=7P8ZBezPqKUDF
zF{M=PVo!AJB7#UFV!0>gb?;wr{lHJ2oSbvM-}616&-*;5t?@*~$nq!@D>k{P8VTtH
z)ED5~e+9}d7=o?8H$@zQ^<GR{#vjcc5H{&!K3*pi0zeCx0HRrCV?>)Ee)rhO@*i7j
zJJ&kPac}U;OCEvq5!Jc=r<LGP;h?eRj8mAZUYr$9J7L~KHFhSTmoU7k0dIZ*H$(El
zer<L2D5foLVab`LTH##sd3mw<2GYTQV-bi<>(9j6c<x*XDlZ?*F)%4tGiH=60ak*1
zHUY311>lIX6N)!h<PZu|u{3o|9Y^9;#19R!CReS{dKIgA9)ZF7S%UTxrsMO3eJd3p
zwE1ELf@I>N2hy)7HO>Rf2M(+6)Yq~$E+SY>*kHUa^DGTuX+A*da=T88->@hMnMo}z
z48A3mJ!cZHzSeZiuY~pt($&@FoMFVTNu@}0Yu%;^U3I(a2i3-YM*uGg1st8;GOB{S
ze0$po*IRVEZ`XRoh*oNVRcIqXgc6LD^#H{hg~n-FYi`8>D3q$$e6Kn5m8h)CCyq#u
z`3MZ8tJGn36Zk7-t(m4SybT;taL2%MnQ>E61mbfcz1QH(0Wfuq4`9cAv=fA%oq#o!
zHK7_gKd>~|JOps=CHFc3t8gV7lxG;=S9U%l*%gGHghAuOSE!Z!+>V*uyB3e<`y?Wa
zROS)#F)0z^N@HW;vT7FSUx5ZXWTMKxl>`dst*(qSsHhr$iZd-|;yTRe3aUt89U4Ye
zbr9Z8iMQ6ETNU9T6;)Ll>o#e}(`j>o2kwd3ulPg)c9XoCa2TwK*Xsbkq22GC@D5}v
z03I@<%}2-i$qt2}Yx4=M8&N;8?Iumc<3TC~Y+3O1*XiSNs@SCF$HEa(i>9FRj<NCc
zMvt=$eTnv+$D)YMz%+v365ju`ni;p9FI2|8Hub;H1Jk$5SS4<BAgF?w?y>bM)E?_?
zDjsnjOa=;-K`!H9{n8gMBEd#n<CjwE3_!miqkE?uVvuKDK|qzWB?YU6AB+a$FZ-2%
z`?1Og*UOuSVCGoJO;-VHNrluw8D{4K_GI!?KPb!OA5<Br)CMl_GJ2|hl(2iWucp%j
zOpr+ZtS?ZsFRlVnTZ>;NRMJYB@nQxOyNNz~J}OQN)NvfJDzKnnkSY3+^rsqKm?;1?
z(d@{tdS>T?Db6XyK#WdVKmP&bR4beq#S(5~QaRHS53<`fqOJkU$Hm|Fbyrlcr7voF
zW1`IOBGY|`%5=Q(Y=p+JHo&%WK`eDaF4UmWwfc~VK7-$GX@t-a{Vgk%kAJCp3&>`?
zeN{n>u|$kzy{rjU3<d%J7Yox%#FhLuO*p{^^<!2ZUQBTB%>L2%7f|+{p3XV9nQ7lj
zGg>=#4^x?+a<n_Fwx$_KoS*>Qpa7;Zo~Sr&(2=<&h51;>7_XgE1^~5zfLZaS{9#?g
z-Lt=ocp}0>!9j_3ggBjopLwt%fMqFCe$SruN$>(cgMeWwTN&iz&k7*dT`%F0AvaKf
z4Hqb`UHiIp)6>&)7O?i_nv;(pk}`mOP_mb~Wf!BwMxi^P(|W>01iD%5Zv?x^cyTco
z2KFGDc>&Rj4bp;nAZ>et<urP%{tgCwEl@0JfHz8240AUv*01=_DHCK0Vvsox>q6du
zsq~ye*Gi3x1iH-@kWJVrm880c3q~0to{iwJ#P?4V726ZV#hsn4t=x0_Qm`~ef;<K~
zu`x>k40x?j9QOqEe_E1ofC;p5A|Om{L6-Oo45PXtMfTX0>{gTh+1swBig9W!BCv$S
zB3`fe05NBjdp5<DZoGcVT)dPcBdSNeU<TSBJH5qZWH+@s9=s*7h4Qtwc9Q+Z87+DA
z`+WxWkKRh6f85_F?IlyVSIzvE@Rj-zDdpV<lV0sb9+xq{bY!UWy<XxU_sq}TOd=nb
z+&y?x%~@HCLd`Qq5{%l|x2Nhdnq#qn!VO$jER!&qW2CE15{8`t=ZntzZk@=`nSAb6
zL_=livj_Gp2|Q~=E7c7}r|6t<^Yx%!@rK|91k#NQxN-Gx&sO|GWKy74I)`PxwIFda
zI)E&7z#T+*mI88p@c=+5agab`kT5X_r3Hd9+B&Fp)mSee7mRty3gbJ^v?10wUB1ar
zr7nyY<Dvp$6~X%X?ZcS^O@1#q<3KW}>a;wAORbjEpe$UmFU2_$R61(lPLY9N0NWMa
zuUs-;k@3(2ZIet$aRIIJ|L2@W(|~k<mKoM<<G+`U{~xMcSBFwta+zT}VWQ0D!ys&D
z8)}Pd#uZzW^;>qqr8c2)xY<;FaM?RxHjcJg>DU_~a!0<}q!+@!e0tF_#Q804Le_En
zF3&_ZeO8k=#hsNTNZZZ*tBKhLY4t?c<*K6zo~}4e*cqPE5W3@B{CVx^Pa3v20(<7V
z@F%&&kinIHW=`+EWSWsfj=u-)we;Hrb6kSOKcIg=GarSa&ecGcj{U51?$4-O7YsY1
zmiMx!)T6iVJ^4o5G<TJ_V`{54wQJF7koHv)Hmcr~j|z3fVct=-?C<to#qFLAVCWYS
zQ?BEHF`o?QSj(hurR$_d<(^l~PhsX6cf9UPZ)&vA?6_^g<JLfm>d|Lf?n7x2eYsf^
zTzCN<>|`_H1-s>0s9J9X6CIvgt~59Qygk-9EU|1MX95SI^5R?p-Razl5w}NT{z!g)
zWcsi?mZS7CMYkv6HMuBt9xbYLtFK1kG?dnUfI}C?QYgRg9`Cf&R&>I;W_aE(<amfy
z?MfC-Y2FE^VO&xt4r3R3ToqOw<U9t8=uV`>3R5~(xoP=ardgEuGu(|rZ46o6c15-E
z?uJC>f*hOaP!xIHs`G5#9P3{Ys^H!u+Z~*B{0}9^U_|i{J5#48A_&((A5t}#-xZO(
z^#0TbPQl?!23}`;^%4FhCHDSe14Xp;<790%PRE7c3DHo~x&zhC*e2bvz!Y9J%zxWt
zc+88+s~S4AEwLUxXJov7K837NMCK|FA+Plb(Yec&vyu-sb~5<+K?-lSGHC@@!(A`Q
zSU%_qGQ#b@_cSfS#}GF`z8|AiWGKiN3=|Y_U9~xvO>=ex_e@1U_6z^sU}XC^!+<<^
z3&c52Ct`B?idRR0po${v&ldRq(UI1J9LqLpJv8JDZ=(B*-Vj~2F?|cCXheoW54xEu
zn#n_Cwl6qL%TWw%%O9|^>ca(k4Dj^*dkh@IO9S76EwoYb4a{Q+iGU8%%h^tO0p4_W
z{#?z;mf={u_Ph2i+reukxkk#ZbHwRfrMYBC=oLQtouq(V7g6hPR?F|+U;9*D%Yn{h
z=OHd4hdP_F6xJ@wN@h_=LhF;c_@Lr;4b&Kb3EaDZ>YSKuq19s1$Me$M;a35+Zm!pJ
z`(MW~=hg>~3u1`G`NSb!g8iS(yuLD`;ZV5`s${O#7cUAI`LnBhAKvHMGt&4W{KO4p
z_pkK$lpJ_D)T}n<obfzY?zPju-TLL{1eegqz-LAL1i(mlOxf}5#iiI;+UW)v$Luf%
z{c)wou3tl3uwO<;-+5dNw;?@UK!0f5%$hG8;_Wm0;Qy^BE7SWgY8v&>2U1Mdc{kOP
z;?mjjLvK{T6MeRyxRf!(J7Rsn1`fUHq}t&)UGX%Ol#eb)IZgNVnK<uKNlOW(1%a~?
z#H!7ae+No;efP-JC7Vf@O0cH)f5g@m1(=01N{AbG?~|)4lI`nI;jY=9+(hh7iF$c6
z5Z&{8B5XtB!?9Ku6|T_GeH&IzNOs;2-gyW1@Ix<{p<|<yMjiB_tmAGa?HrrXbxB5n
z3s(3j|HyhRg{4v5I)tQE6E|LV+`f{T^mk7Y_wX+Mw#O3Sp=z5EZit(DPYS$TviWBz
zxw)vH#OaBM0NY1?c}#C5<)`Xn2L!6UE^z$yQ4BV-v74$k`=mPUaS>U|a(0^djxjo0
zi~sWj{zw$m!Zv9g&h4*SVL(Byj&ua8?S9!)NEnkFQkQpidKY$19E%dE^9=mn;K4+m
zi>7j3GF17#C?Ld;IF<sUzSdN&<p!K{Y5DbO=^EK?nL7zt6WBqWH-r}x$*}2*i5E|>
zT+*Os))PuI$i0!_$-aKAxc!(n#iK@u9h{?-_#nFs_DIfQ?5{Y{JMx!7!*i(Cn7>#(
zGKs^SrC!J~|L3p}3n|&CU_0_pEo$(TlUI+uw?qXpiRrnhhux0UKp)QSyY(Iqd?L^H
zdD~KRykdh&Iu^#)AQEX~B)DnuPe{RF#R1u*w5YDucFk}MJ9KC6Ja$d#^q6hy+DB#O
zg>wBb%Jtd3o&4?qVWs}=8YlI$FK_&;pq8Oq&;957k6CM;XIR7e3SB|8+ZXCTnzSld
zWi*H?@U{&gZ!Y08UW({L`X?Grs<k}8UCSn~G=lS$Ht4#sDm<DJ%MUamM8oaHYa3x!
zW0j}8?sMeeb~r<C#4|n7KvUP7magLwY1T^qR`4bu${;q8FRdYjaS2!0!Eop`N2-&Q
zLR9MhZ`^Xo#Nj49y4u>_d-t~dUGp~{e`{%}1@Xy$;Qfu$ATi_B{dyE660`eOASS7l
zl+$(xv|nrxQ6r*TmC9thg@W!j$Wkr(q*wHVt-Js#(ECpM7Q<2!?<pTO{Xg@|^;^0$
zS+igPvr*FB{y%#hO1)CA<sGE0fzF;Ng)jvHGrUipa`M|f^MCslRkDVZGmXr<#7x;f
OnFm|gnU`L0zxy9>-JJ0N

literal 46301
zcmeFYcUV*1w=Nn$K~YdYP>?DT1gRn*9aIzuAP7jW(jgS-J%EaQQYG{ng#aQ=q)81n
z5D<{iJ4g*J^cDhV2L1N=-RIo>oV}mB&-v%>^`L>3wbq<-%rVD!-*?RQ@}asC4K))r
z1OlOfDc{qAKu-EVAQTp-D8ZTG#5b$pgVI7(=^pq5$DTrM5coL#MA^U{0$~j!{UeK+
zS+j;fu0UY-?mY5IUmEofF!sziTHEoqL5kXI8}d|HR9D@<KyN5CQl1deXQQS6H=+CD
z#czf3`kJnfH4*c{S$}`vf6Jf9UQEs>|6OZH?Joa^^9D6<MQ5%l<5a3EPpY`U;$Sx=
z$H&=ib0t&MZ;G^}sHx9x1<1^HiOdCb?zpYXinz-WGx4#<o%}!h-@|Ax)rGiCk9<BY
zaw?S?6)Zb+Io_W|(XTf#H#JU0a;IvoaqT4N!$YlDEj<W?+=?Bh%9U{yX9ZJIc^AK#
zJ2KIMg39vPXP`qatmiA&w=RqL#G;i{OkUo6R7`ZLi)>yKL;7jAX?!Q1B|jd^?ab}C
z9%#$#-ViVDYW1ga$9*kaCZ9tQcOrE)C+mjn3mgNdPjfK~Vc3T$W(qFqqkd5O_YCRQ
zQ?DQ9^FbhVBa&`P^O<^$as=3ZHCi=XE8E-;g--2RpF+~c(kC*1Yz-j3JF!JUy64KP
zk0x}G7d!SaOpE@GDy$0Tr@6xNA$sKYj0Y@CMM@hh4rP_O+wdi7DdPw24u3P$iHV~~
zyC*ds<+kK9^>XSA=_!yKWbIu)^T{*Si`tZwR|3k83V6iM<Z8fI^$}N;hK9e<(*!eU
ziymJJp|^{oq~H}&PW@#$Ry)%%ytjE{m`{6{04-835^;Ohgn6~8!W+ZQ6{v?LlWc8E
zL_q_Uu{3UTw97CjRBCBSZ23d%gZ%xKMCs-yY3P#HjA#pqFu&F<$~G#Q#qJW`PDJPl
zpJpx0Wn^VuD_(O2a(IaJ%E96jJ<JnDFCxc;a27Cc)%}Q(*s)qJqQS~Io|88q9G!w}
zfZ|MHB`tvyeQ8LxgiTo(d%QGKCar5z944iSjY8h~E-NRbQe%KUAYYVAFWqb_Cr-01
z>bS)y#f)rhF}ShcOYC$VGsDU&?-z~4&eXdRzQrLC0=P0J-+PGSDd|MF+}w3_hk40(
z-@{E<4Y#G4Ji(%r@LhkuDv6!Q!Hx)0v}J-zA4pUwYDIQd^TJR`{)i={zjGndBZLwY
zl;rT<ByTna@3VDUNPbA`9e%l-Q)VVeEM{}g4{J-%7_mT!kWBnOshWvN%{QiVZ_bZL
zJ11|+rkbG})BaX_cJbgsYugW@tM)TD_S80(#8t6Db3Fa68OYC8*LU8_Y(Ky#(oL|!
ziBS7e?ooFp#6s4qk=Qs~`5bLrv1H7?KCDwYRrc;M_NtqZ*G9_*dss{M&%;aDpO`z9
z{Z;F4{ROj^lT>n|X5MBel<N*stl1~c#47Dqbl&it-gs5fl_*jXOk8Q>>F#XMFO>VG
zbfi8<*TxxROyn>FV<(J8m!=!-trFaw8%7}0Pxc(+2!UF22Hu9zGR?IbyQ7I(fi8Kh
zI2fTqW@vN*CT|>E#W;7CG~%<1{!Dd^J|9o*G5qz!U%y)DDYoRy`i~N)=Q3EbUW(~x
zsn$GWK5x@sYGD`O2fZOPm0w8misK%o`GVf7<Zj2rywYn3IhXeC=*b<07Gmv;`<qO}
z-i3)k<rU?h0j<*R&uiu^MTuH&6s$3`21<P1R+EPYtu8!Q&J}b~0axqrIpMRh9D&%m
zfZ4AyBfdHRdo*2{MtkdJF060rmEPL=d&2hL%n_Bz#<Vt1V}_4s&w|p2C}m3;fcd?k
zzKL)56)vm`K_?OsTgv;9BVpAkk5cKNL=H}q%2?&W_2FwcmTHEvlx&~K7nG(*Boo(i
z+R&v~kI3zY??+!xIUP!C)SQcXrQXUqu~mz>=;ku`Adg_zv`r^7e9L|sC*_RXZ10g1
z(e`Do=47)~-bbS`e(Qw(3+wy+k^4ur=qWB8|Mm1t-o;_0Aj>sW*JhPC*L|^pacpys
z|A-meo0UDDa<g1uc#O$P5s@lq!ETxjbxzgqbKJ@s{yoQaN6dY!3=NwR=MFyL?~$n|
zC5r45TiNNaxMR3qT<4BM1(q@fel0m%)(hf!K91@_R9TkK={6iJ7%8s!P8C_!k6g%C
zTnRc5==pgo&y4e=k7^h9fwO8prYhp{#MWXu88B1uV_%Bvx`*xJ3p#d<MM};Pp0xL9
zU5z2L>DY0bD4DDUE1G)cbZIpyP8>>Poz+=RL7x4CZsa~IueY-~pSMSEWY2y+a%_8g
zve|<*!ENro+MGcgSGx=iG3|cyL(?}zr)MuvNo99eT-EYei_K=Ue<H5auwFdWs}2d7
zd@i~<;!|QfOy9Xb9-Xyf%E@YmX}#X3(6^3@z<D6H|4jbFKa-zsglNli5m<K&GID+|
z0s7g?G?Y6@UYD~#7cuQ(q(ZDWS%Tp8J1>*wpRr4h$?w8V%jxNCExX2LRmt^XJq4kq
zn{%=4Kk$Vtdqiy9HoF@->N{&ol6uh64cx)m)l1n3B;i$oM@`s_>1Oe2VXdf=L8!#H
zIK0va$DQcggcim&-f~R6yb{7}4Q(R&!tdgc5EqU~V?W@jFqI!RXuPc9a~T31Td>E7
z+uheuFD0+jT4~_f8&^757)NY{-Q6QzUiOw&ba%d}P~6~|XG_4c_%4^cabgl|G<qjD
z>HWWq0YMtW$lsNvJfahcoeED@Hqf0c)(h<}x1E35LuE5JIinCNgj6>({r$@m0*XXz
z9oeX7=8Vz|zPqoUxYTA)iQjZ&UmSTAx>=Rc8c5itlEF2vpHII_$Ps0XA27TviMucm
zV^bLPRU2WFIb$2QxVx{ZE=*BZy`ME5#J*M#L>OeJp4_o5A75r{uhuzRy{}tBT`+~0
z*`r~Y5YR!b)(YetjtP1Ndl!-d$M=c3Z@dsS%9hBT1g`vVulr}zFTYYvv)y}t0V~U$
zAM|`#j49o6n+8_9&NJ+<84$pRYt9<jA{0_mP;jFUmlHiIq1>HPOfY<$w97mmT7PZl
z7p8N=uRHGWZ6vWk%qOHl$9eT}oyYh3WVV-8^16ga&c%r9)$aOiuMEdDuq!<U+*=D<
zb#={tx(=uv>**ay*vlR_nTip9@qsmty&aVFl#co>%jJl{$cmWVUJP;NT(($W=e$J~
zC(0cz+B8&^>#$1jbjtJ$xYE3>we`}X{2Sl=_;AX>p$SOuUzY_TukuBvh-65w_^hkf
zg{D(hbUN2RaiaYNl;p-Plm)evEmg_1xv!7dmWP{QoMC41%)zPzGdFhUxEO_L(|EQd
zTR(d|1m(Tit9^2MDl9;-#{J}uBBvfEemgVh!_P)Lo7Zb%ure+aF7W|F4sStye8Bs2
zDm8{HUm_IYb*(MaN@hQ73Xj*lcMxMyDMFE<mUS=PD0DsB#aHP`L$WPf$?SmXJ2}nB
zN}rQNf9be!3>++U#!qJ;DJ-x~|1kzPGNZG5(M(&Ej}&VH{a!z}CKNGloq^+h89Up`
z(s9U49UMXJ{7kn{L|0X1TZWPEyOA#cC}iq%^g`T-uTZ~ojglpyUDR|2ouFXG(%G3B
z8@c8Fc3_!jT11{bXUV8Kdg~sJZtr{5xN_X0zY(<}D;eYz3wa&neN{r{Oi6s<rDDr<
zHSf2!zHN-H8_^wY-W|0RGHu@&1!i@Y_D!<uUG#|Q=zW>iJ#HE~N#e!okV%D^=oRWV
zVux6MKZ0|5s=nT<&Ltz`dtDIW2s=^wV@C|@!AC@9#(JcoHCkBrcJ9D}RGg0D(MQV)
z%uNL>n0*UjFxwHpnT5e@zr;od?DbaFEoY|L4u+AeWoZyu8CiK?5g;_{Uay~ETaDd4
zDkg)x=087iGPr(p(m+lDTc@RSZ{=i1j||oq^}gQq?96iC#M{r_*9i(8H!~It5H@G6
z=dzQx2=7Pspj<dE*oLe%G3<rud0Y3#3**m6@~XzUcRu@8ja*P2>rxgGt7D^~{6zb6
zmulkLyHTd}yEF6`cRp!SATwW;>pychYr3W^xp&~TQ6O~bnHkYvhVVtXY5%gU=1{B<
zW?#38l5jv3KVI&N`d(W9sQCk<)Af784Gi_}hbw7H2z)2!gCU=P89@EpPZvCq<#%%e
z2ZqL{2jmo<b)S+z-ij=(JDM{%9A>fqf-GLGb78j}+~ZLsI*4tC2->zTQ_ba$>3t96
z>3A}p_Lzn;m|c6tS4BR~l5n)eZ<fmGB)M1BgW;&oHi;-Q!lJa>${y8qh8WNIJhQ2u
zJ-t=?yW@3)FHin-JOUNi)=ERG>Rih(_Z@CF!$2?at(0Ha2n3j&UtXQ-&2H0r9Jn?~
ztQ8Y}T#OXOTYDzmgodys-0?>Wa*-olufMd94kfj2R6nlNvxy(&!Zkj|zL=(b-EDs)
zpvvTeXg8>|m1>V`P+Ix>^<=<!+_n=9JA_!yJxb*kA5_cj1kygDzw<lIN^ZBc>D$9J
z+hOk)*PE49a<NN2-#MGrfBwYa+YPWk+LYaO6GiuU(U_TT`RFyY3yVTMwSb<ROOQG~
z?h#@m_{9vRO!Q`<^u3iYn{H97X}O;;i@_guP_fY^sF}LrPhK&b?3;+4`z=Ruzx0l_
z3*_lr@tt;<Vc}GFK6b=TQMc@{xczQy9!Iq{x9^6uQ*t@TVu-4op7CKttgc2)_KTJ_
z<r+<e;kae#F}yp8PD0kbLSC4@LJMhW#1mepY%0jBEfD>o#AhSJgd%hh%eC>l6m__W
zH}0Z7MwSvfV|WoPE0PlvAV?pDmUo!{_RCh(=MxjspCdp+anO@<8fP2akKZ?$hjr)H
zv(IXAc^9{Mq@MgTUDg^myW=*;@PO*}XE)R%w(hZ@;mM~CnD5HoX(NpWeja(T(qW7K
z&_IP1<4=QXxsZ}_?;Ddg)y<94R8|!uw>!DqC>V7W<^pB-E1Z+iE-=5U5z7=^K5_H)
z^t^OJ{HStsf2Ug=anB-32HB5q(2qPeQT9J3(kz6OOuLLzx3H$9sBh$s)N<#dE0w0z
zDc0-~4_=&ERms5tOIcqHaPg=3<f5|wH|0^^MPzjE&m$IAoOHt<06V?h?WWXYZJIp2
zvCi2@_!}Lz!H@qXv);C2ab#Y7CqH1=FHaHCT7d%4b<rEm-QIDbH4P7|(ixmPC({tT
zZ;UfwyZ(0j9+~fc*Z9-(6H&^3%6sfdn|wyW;^TU#kw%?cdnbH|JbBK~1NWyXow4Cv
z48#>q#FmTvzQUV>!^rJg)^BH5_eZN{uVe57Y%p=3F;uERS^P0ry?LRb%GP0Z!wKE5
z3+wkCo1<Rc_v|1|^6fjcuX?f$gi^g)SzT{&8QJj4Oz7q>Wh3fJV#%Gd>j&f??wvG0
zgjLUZ>_|5*DiL|1#NN1-X_l@1cihV=)|eZI7HnHDTQkgV=uL2%G_%jd=IMZ*a_!*v
zbY>XTeD7m#(h&VGS7$Gpez!bocT*apu|-cU+DdZ3;EDtC?$adzSLz3TjX4yEs{gk+
z`2ptSXl}&SZ7zUSu*3uzohZ%i=QsMqTMHfKO+o>5lm13Xb!3n9T{)q)4Dq^8WrBLa
z{hhx(m%6e9-KlCQxD%ob`03hC&B!plrJK+TH`zP>qGVOC&|GeFS;OhPAY1pVq-JE-
zl^QQG!`P7?5oip$6)baaH}>fApv*mb&PM6J{n207=W1AH&~59{Qc^+59%0|>E4Df_
z_YZWPe+KFDw##J(C{hQYS$S}9q~Q$ZIZCKg9N~5L;!HGz*;(#K3**Ftv}-$eRJ^~_
z^l{IOZPzL~Ppp1vl{H&FjYRP5Y|qM7e~Pr7R_Az<J2L!22?;=vPV{so7cb7VI^?3u
zD(`R)En@4N#ZGMLrb|ibc31!ab{Y1C%RFAedh18-#fB>fbLU!Q#cQS!C5QEt_~eg0
zapO-oM@6FaP^;_NBx6ZCy%-5zrOU7LY9-d~l~Z=Mfz^w|{AOQj5>u|Ov=ByCxop)h
z(#v-rM3>WzS~;l7NdRuca}#sa%tZ2)1CLkeZtb>C)dj)FCQS}ED}ZjIcK(D93D~PW
zy6Be21*@%ibaCyImBX>9V18nx^%R7T0o8SwpUAvw%!@OxZq{|1iyc+c$`}cIofG4Y
zy0#Ke8J91Bm^!8h54}E~Cl7uZ(P?+|2uKgJ8{t5u@l8>4T4N^l^nMdP4XGp7J~+c{
zRl<{MuF55=If3Ts?xA}wlD>JE=r^ry`=kaPqY4=R1!S)B5ELg2<C}@zU%IZzx*?V_
z^joAMUHsq2|0fG5Bx~uJmoqUjeSUe*q8Kg06{w3njVw3+^z?eE{*TM{<NExU46B?+
z^PnbHMJ8A5<Iw(}Cs#Fei;b(llmsRU7~N_%^pC69=7$NX)?8zY8BY^%5@nLr1QK0)
zO!E}8J3Gm-NXLxed$O_p{e9-biX@w2v-jqAe9#aV-WwzQxHyAbc%+B13|o+AA%Wkd
z#>0k(e#okbsII5iA5~FNp`_}EWpsCSci#}Iw`XQ%=DX!Gb|Bw3WL8;TZY=AV9YX#i
zO&m{wEROX^t?-Hyo@D?xiF<o^Y$nw>-@fkZeB6O+aX^^6Vc0k1gmf<N6I8zzN0_cP
z)6nSDo2GOyd%`mJ)<=fzW|LZyM;RK2WYbcd@E0XK|1w#kOf6*marMRa_O=!1;vH;E
zQH6N3MJY#fU|XVqo-%f6uq^1|&pVJ8!Y*TV?oc8O%ME=X*7PG`Gp@L}cwCh_sod@M
z>3@2W))+m}P9LRMB)WcT3|MzzettmEe!sD?@zXh()y7MmHgr*nAZc*G*dv>#G$Os&
zVed*xj*2QOdD&uwwtLq2VFjGA-wO$N%uz;94JWkTDst~Ou#KU7^vTxYE+ux8i`1cB
zu!V{~gw>Z9G@U<C@<Hz^wryZ$uQqWEW&vwQ36+VByHg{_R#8(7Vf`e{1n)1FRayCa
zSV@Gu0%^r%l4KYiZH<~_v@C>j#lbkMKUrG-ptk(sbi$jvBs)fK|GDqR>=vu<bZl4$
z$@K1X9f4Md2Ya=1?P)s%@Lhe$sr!gWS~(TlPidHM$#At8U=V?Gz)~3gd~Ix1_`_=t
zZ*&~T0Z5ae)&g~8nI*J^apPfSRP>Y#9d#%a*CV{b34=q4C}1O%7@o?$OlZFUr>7@}
zf31C#l9FoR!99WHMb_LuMb4R@m6i2tqi+ZvDg2>N1*-&=6$3NjUBCM)!Uavo?!Q!;
zKqL}P_G~iMuI&Wja+17q$HTr%#^}R)$H$LQV;;-P%PpYOqnx<UmNBxG>(z6ai_GqA
z!KIVGjbt9#%G(H!Oo=lbdFA9U!Ge&!Xq+sb7zoYBV2=8fq3fg3(a{lHM1H0yHbI;l
ze0c^e9)k~7Er&>FPZnEyI2^vCKa_x*3}ZjcLK`4vUv~NbddW>&P23&^lhxq9Qav~3
z)p|Y8G4kG3udRjNW>InRpu?|p8V55)Rbw^W6FtMj%!fn$4Z5)|hy7+j#QyD3@9}&4
z#EO1X=D_8Oeh<QO)lr~dkI#^a_o&!nX){}Qf}W}G%pEG$@?q2^^6W3wq=iVIBs`n(
zErMa(bioh8Q|xwTRo4h^U9{X%S^w@GZ;CP$>aFrZ6VC~Aa&mI%@9nKO!U}ZRZJI&r
zog=Fy!1CsR#VSt=!p@afRu(5(Ei5c_h&KfoVI5&k7cX8kGb^?DHmg~=!HgV}P7PFQ
zQyE%-HkW;Gd@I!$RnZ?b+Z{WlA%|<r$lqc&UUw}DT!1YvjRp4UN<Zn#WaZ`DKg1l$
z;15`F3q@Y$orLQZ71Uv0{FFL8KPYsw$?VwSN}GF3bk<n$a*U6zX9wOrl!X@zOAR@d
zsh=_3mJokx%}%GAv*xmJ*vg9M`C1(k?5?I9D6+jFfO!~%;;r?XRX?Tnq-7yrMLmB_
z025xELA~StjOJ;H_bmUQD}o*=JnIWP;S&NYE+ntRT`3aIl^Wh28ynkPn`dg1vlkE$
zV1{O-R5uhC3-a2#nwgE?K|V4w3(Bw9ZhayV@GF{C+O(voC~9kGr^Ln1E_t-4Cw^!7
zdro|OZ@aWe9?uKtmUlfT%x`nzvSFNSq|~_qJr^gx?taTEk*hRk&(6=XrsYJMt95Qy
zL1CDsvD{ZMtKs@3R&C+?LE`NgvQ>?3uf-}^>3}wuo0B7_5<4HH<y2qP4rs&wooH6z
z(0^-uokHb}%f4Fu>Y&Sh;&_ih$->{eB>`>ccoN#V1C3o!Pf}g>Sl7)2QXAHU8fK{C
zTT#pyKIRs}3sJ~-BZHGZQNks8ic@R}PPG-cSbGiR69W~oKY!j3h*cgDz^NAKm5f!|
zb!Gisv8~jU>;e+Nx;4zf(Xq~NW42vydvi0uRO|3dFQvfg(7RLnMQeUXD-N*EDBF}f
zmUsQ-yKgKWjnST+FDfV=_9x!337ku#esKA0&Ashmy?SK&*citm*Y)Z_n#9oDM>82g
z)xN&3@oygT^vvraG&a4=cyPmr8S%@m&L_SEaY+d!o9S%$W7Z4iN4f-Y4>6>HXTj&-
zZywHPBW9|Cn(-QOn{d);>%I*Q<DHJDF@igMm?3e~8Xc^GBpo@O@z!wK*s%Ne3k~XB
z$q`c$#3=)|U@T7o#N}p600#@LDi((<ZXa=uloS+0t)!MNi6HM?b&WvJ{aV{KK|V4u
z34DcqFFgCwBXy=NX-6r$%Qi|l&yJpK46H4T>Aaj}#g)T|REIrpX5B$|#h_ugZ<8zK
zT|^<U%687G(>Spzz05;tPd5^C-Un%)SG!do-A(L@L3m`F?Pd6ln+!MY2^O|Qxo2D5
zy5?WC>+9_3BoP`xb0X6<9gUj%COwxSBfddPapiBIs1DE0RhJe`POq#r6tVKWP#8vR
ztl#mL`@X>j*(Eu$cAh#Bel>PJzTBq;$wjEDsHk5aU6JUJzidfQ9s0|1&{o3J(~}z}
zB~MSy%4^*Lsb+u|&FHB~Qipjqdg?{_?Sylli#r|KGgz)NSrTw3mcpjxTHJzz@55VN
z1*z6~yZQ#^EPs;Q`=ok&M8?<D)KtnyVLg}@^sl{6>$b%9SoDh*FBU-ZUyKswRvr52
z(ECn4${OVea0hRcFdsk!C59CX6`T8#?z45*TU=Re@A#QmT3Uvprxe~iG|hfWCZw(T
zW=NyA4F|Iuj;dNHatSnZG4ssuJN&4AvFsc+euvd)ftQ@?({Yr8BuA1<KNV++Lg-_&
z^Q-*Hds$go1H0^cVxjP51F(*l$B6IVy+ibMcWc{5N`7%o*URpD``1g^b3Hf@mbtUm
zk;Sa-aw&hk{Mw7G0f+NuvBrbuCkbeLPj7FL{>LYiv!086CLH;-ApA!k#GJZe*Gh=d
z_L)7qd^n2l-NEuvKPb`J3RCatiAjfAr{L*%7}A+Z={C6K+Iuonc#&|EmH#V!iLKUm
z`T6!&E=2?ejMjLfO8ZQqxM#?*S03IVx@?hF++yrl_F!{CLj$6rVmtgHk4J#NzyD2l
ze;Kx;$0jDD!%fLzU~E*(mWD+Y8$&}wUQq$`=TBS=W06^Mn(6M0xKuLoW!A1K6eVDI
z*r@+!nr?W7(5wRNBqJE*oJ-W_pH;5m+u|LPvu|&2UlemQaZ*)n10ab{)a4i=0PGe)
z(ENkruDm|A`UidAzI|bWRCNVMaPZZ}-!(`GgzSDW!|$^Y@^FaIpI=Wr`i<^y<2<Bw
z7i;!=4%F|)cyHrY-~GLkE??HuOM2)lZXozUAl6HpwpFyg@(;88NOv=`{yF<G|Du#F
z=KB86aut&r*SvkleE13Q{p;WK<=U$)S(wSk$F-@^gL=bpy7HqvIhal8)=KK%4Z{AZ
zv$_PrhSOe`$Toji6!iFsw_gLL4gyJ5F4V!QI1T$(1hlQl7NC|E`sYkXif4D0@`!wt
zsJLO5oETYx*VtectF&tO=cayMQqh*@cdzJvmW(a*X~YaE;ZcUyEz!;1TeuHV(!C!9
z-khN=yo|in^45sdN5^AZB?k*iTcuu7FBsW4?7=0Znz44(6eCQYOqkbDbIKkz5LF*4
zfU6;NcX+)20-uppbh$c96)W=#e|ynLaJ?lVrr?+17f4p3dpNKptKnRk-FcShpS=Jn
z?kUem#^-T4W_0Ayk|bgmynZ|-R~nQ5^~=_Q-jWrpg0vqOP4o%5<;&i!VcNNRxSB6{
zN$(uMGa&1?NfY@xl4hVj&qo<EckDflUzJE_&B;^Dw1t=A&**jJZ`IeqY14|~v>URd
zp+cshj}}O~8;%dfu>a`-^kk-g&Yt2qo&eHc=O6wipWxSj&$q(kYmQy+A@68(Z%whB
z7$)xLR7Rjw9dDNOT<4EeuiMx-lR!Unqmsj(!92ER2UE{`ww>?#E)yQ{I{w(zWdjn)
z??&QFyHTT3)5OM8_W0qUZ07NKrVlImqeMRkZ;WBC&O$Edj^^Ktz-Jk4|J+bCm8(0S
zPRyNG=;rmrHDxT6eaXvUqs6UzKj?0$NJ!PWoLGuo45X;}HDh8p+?$u@y|eh-{^FFL
zFBp(870LaBPg?|PXywUnR90@%%nOaeOg81E%XbHhYUWF%%inMt#NSL}msL=;QSWNF
z$Pwxu*+BgIgEynhtb(@iEFb@ME3`tv=bG8~hA=E&{kMEh2&7S&q|Ad^uz0Tv<EwDO
z_pS@n?i3<E6qup>U29Xv%TU`Tj4avM|A*(g-FH=bBPAyEC06@m9WdxrjM)|N5XiN7
zv-;j56kA2in0$p+lX47xq1&3-`<=DXT?Q6?5vY^f^XnIz+MJAP#4u7>JAF4~f&ViG
zkqp%M(a3d)fI2O`9i`Pz!59(p(5E)FFTRE;4r?8z*8SN&!G8=TRj;*Cz-iduTXKe$
zMNRK9x_P`R=(K~xyq=5KVoXNhe)~a+j5%=a_!A@txv{b$armWKRq9>O7NqH`gJpif
z4FhZchl5?cv03e3q?vTF8seU~Ps{bB8&fY&u3ZCOD*8JtB|rRZgMagWkg_?^fp&}x
zrdMC5z35Nru_H`)S9xk<pFBtO3a+JCPWF9~UeLmlc8sN1iBwjZt<GX(An%Tp(wPV6
zAgc_&{WL^u%zgD5OM$BCP<}C40dTcPG#fX~|Eh6;$2bRM!@t+$dF?C$?{P@c%}<LS
zvHczo4b7#3>_!~BeDG~1yrhpeloiCJu-wongrxV2-1DWMp<=Qu*cp6kZXBFXtl%cU
zWlleV(&JlOZFyyZh6a9x{bqv78yp$r@OMak?Px+=5R@&?*27NNO>}3v<^@Vv`y~`h
z2kd8-d)M_AiSJX=-^8W_jn(LxqU2vIGO&qO>?SA<8jQ#Fgfdqa;F1F?WbL=QADHZ`
zYG~n$U(Pd^<=Hz|V3M{`$p&H`p|P|@)QhQK96S&Am;G|YC86d<c7Bjx%x{bG7*TlP
z?b)#SjK|xqj@wS^eJM}L*!2t02}6}T4tt5C{<`vmy(OLXA5GfvgBk?AvvTt#`WxDM
zd5T5sl3bXFcS(cE{*uQJTrK$YW5k1R@3jSuCG#qItWDhqJWSm65%xkUvJaAeWa`HI
zLH2fgjYjuznuK|xHlKCm=5Dc^Nu_I^VI`Nxrw}m(>?KRY!f>Sr9N~EnU)16v>U{io
zh2J?R81ixHmA#=vky|H0J5SF6Tm*8B=ckZoxNu?lt&*{&K6YusX4;;}hM&3N@tw!v
z4D<~0{Z`C!SMLR<dDx{QH9lNkTFvIfwkgr(P^~@kc>wSWM(IC6>%?skdFgKrPv~Q2
zCs<#3^tMS?G}zwuW-lvoaR1SLY(4ouY4S!(q$lmzb4$+_Rq0+abI-Yhly@z{oySHw
z<oKO58=*J*{ufV~KGk<Al?^f>^runt7-^7bm;))OFXMj5yNtpKbLZZ6g;G6W_57cc
z1qrT~&~^Jz)G4*$GD-5GD}P!zaSM}cF>sxsI2|kpUtsE7RT~XHL(-jhbBak(fOMF9
z{7Z6An4zZu-0u`@{M93FoH;BgcC(<Pqhkh;<(H0xuNI|0Ydja_xNukD%jB>$=qMd+
zSkMQznO4@pZG%e3K^FM(gTA3MXgxnJ)kg+_zu^hQyg#Z?^T40YZ4m3%ONy(C*<Bhi
zKNwbzi<QGZ98CuuePm=rI2g1=$#S}*0Caq!q@*-r=wDT_EeaC@I<m(MkW2VL=YIYO
zOcXSc>UK?MU~TrTD=Tw<f!=@;YZ@93BT|l~BIu|~QGMcs;O_wj2PEhO@1(nTNZ!WE
z=2xN8Zd$82$*`T1j4mq?o*hO;Gcq!M<aWnoW@eU<_GU1!G)n^6B`i|7n`@Ncz6KqJ
zeiL(&ChUt@EWIhffixuLz(?lrDVp5~?h^gYLLr&}M6u#m=)p4EqsF;wAX1W!<gY+L
zNK?C(o&RkSP>75N4<48x9pUiB?b+E`c9s1ibXkWSVd+aZ$*!-2XQ_~)H*UQDSW&UX
z1*@#Ct`=d72{OU5bG1h)W}guWC%i?A0fk|$&|eMPlZQh1+4$WDs@rEn|0v<v5fUXK
zjN1He84{-ls2vw;%Knb`7snV?t(z$_BJ~!_LlsIbtT}{vigPmWxj5?+JWL!U-?2mr
z-%7y5Zl8$JW3+UJJ3E`EdGq~w&TZ>U6BT_8iH63aYDf)bEgpKQ-m(=&*v%%Hcqgi6
z*G!l|W@@Q@6gsZHTUZ~if$XUVDxwpzr>kr2K74tyZ>WR;OZ(?xuh7asi_2tbwm%d0
z1?iy^7)UIu^;!<Es;c5%SX_h`RWR_1QTMy1XLl1AEoae}#I4#ySZFa$MG0u%u`QtH
zR4HDK#d~>p81v(7fg?PDB^kkmV!l~)Ah}exlROHhBvg%zjB1IFbDS|U>&e2iqlnoQ
z)e_GiJCzvW%=_f`g{v%Dxf}Y&4x`QXWQV#XXFg@JBCM(6f9zG1tq>9ZwJzGHN8bl_
zM=pCcmMjG$lP^%S_pMBMH#H^o>#=nCg_#YKah2_Tv27X>YS^a6tPl74HJ1-1^%D|U
zAKqN-Jeq|so9$P!cHS(iSY!|~4OsU{JZ*kJ^1l!&HlLj0;uSZ`A6tDx{y-hN7^Rp%
z{Zj?o4;{6N%zsdFqv_FaT_(|1M@Q#otg`ZoD6M}v;BF>*dOOars(aa8U_I6d&;9~y
zD-3%7YHTf3_UF)0jUh6>pg>xF>vh#2a)_6gx1qt}TX=i6<APk@P@qyZ{%!IIEco^*
zSOOwb-r6(m#5FNXoyENd7Jo$3M><wAGMmWLd;4j8U#lpuQNizu^$jtxZ*1`Ky)KVT
z!Oh|G55h$Wk?;_RN*17&$Q~?qeacRBNDy}uX4^{hqcZgFn>GT0z^Ba_P?gu6M^W39
zyx_REwY{Ai^H?wO!!2|xW7dCAKFRPqZ~R7=*)o&;8zOsFpE=QE1sITCp~~~tWlOdV
zK8$*EiV!XkK@u{Y7iAnGThb#CJ^O`3G}@kY@-E8L3(z8BtI)`(=PPu~ZUXy5-h@#T
z4Q9&#W;bTolH7eP2kAnU?^1k)!Y!_X+gq-J=Wd^lHwo55f<;P)luICqJu7Yb-}1T_
zBT4GWDqDhp5PZ3?$HG+J9I)41uD@Q^as}E0$!_?PfFXTp-{E)0jrIgSy#{_*R8*86
z&>{C)K{V-9-S<5da2GJG+hsp9YFl{eYmlaP5fgdcsk(k-Ae=$KaI*?A<Gm2*9jN^R
zBJ>pBFglFbjfxQ>76D11=2yqj1v1kUBhJmfZJqc??+)ob{>vceg@`ZW#E#_fN5)5%
zzytf9tP^#??c^>i8Ak`z&sGASc;_#YnXgZpGMuygA&))`yizZiqSo-rP$n=rFj`fh
zxFrurj{mN*q3YMi=&tf9>d&%$c<a<^F5ti!f;b;ot@rX!Z>Fid=RyxgWg)&?V#~ao
zgQa<o8%7;^cTJ{M0*2iKij2%mrteQfc*@YF-w$bg-zwP19HodUcO3i>m&9+NmEdOv
zB=1h~CYfZF^%)?u-;)Z|*6t1#p5=vw-@AHL4K9>K_Wb<$&;-bB^}@4OFlN0X!>zp7
zRwp~Vx1vpj@B2&}fTqxoU7Y)ovXKjIc1=Ht^91$>HQsZfcYUL%kBi};w3G=Nhe!Ix
zOi2JuMENRHlp(B^Yn0=<RZ+bRkT)}`HFR`(I}0n$!K6BV%K{Iee~tDHwLv|lqTOG(
zMScf=>!||abD^fIR!)rdiw?3uTTjnhng7xmr@;?1)UZ(yoxFFuk0}%wa-8PiNgukG
zU%jCwS8<nNM5Jl#rncpek;KHr!gJ(y4h~EtL7_QHcuv*N7#ob%<08H-DZ#Jy_4Oqw
z@|Ka9Kbr6Eo1f$5RaN+{uRlPxQGhR3MG3=!3hoEZFfYpJ@9V3Ct400c;y3c|tC)nW
zZBINqx01No-NWYsQbnwX-h$36kZiV)im4j?fc%eK!&Tnh_{S~{t<ER@q3UXv{<n<m
zf6Mm&h3dTpp`JALx5E!d?^7EXEjU0dZJ_z~5AqAhAh!q2|E=8<|8moRiXZ-Gdh=iK
zU|vwKIQHcm=|cR3yD>C_MLES(H*~eH!m_2=`8~xTYIpxwkgl(CVZq^YJFll~aOt}g
z2dDf+h`F0Z_#d-F{&PI||MEEhMZEd1of(n=<L?6biUTPq+|;8gWsLQL#TdX{?7`7l
zsR5Q!kx|u(Hd63IpWv%<7*=-j$u2jaUhzn*6N;oKmiCQV70Ie%+mOXCo2PbcR6#t^
zh~K1wZA`80HkDSKKb{`QZAqTm3w5eVg0k(58z5J@!J3s*uL3Ab)0C`~)ip14bI0D!
z?i45#el4o-HiB!!J>taK!Sra)o~`>UO7UE~R)<=%t0|BK*8uRnjO>WpTm&MfkWH?W
zqhsMK4@||j;nUjRZ9&#`bje8dJP`Z}NTsa6X4mbg=BYPUHzmI@ZV1Cp!=gaBP`cxH
z$q^c;g*_8J#d0yGS)nNzhjdO9HNh$%BfU{iBn~dZCPU9KjQt!N%LFArA?5wjitSl_
z{#(-@U5+D6s;vL^x$thcKP|^;0)&S`?Bi09HY!6SBO?bHAb2bz9RUDx0fj+MWHAyQ
z5)u-M3$!TJ2l?q)&;GZfq9P&K2O#)mtoa-)A`f}&okf{Uk~K$^xQbqWvxv4GwM6FT
zE^xrY6|<G};U&UN>9qlS>xWlGkA+O2K|o0ZR)%7)x4`N@TvjF$9Q?iwRlsAA(keS$
z0O6RcD*Ex^YI@v6_4b+=`Cu(pSY`jG&3uu<Rbt}eCGE8wfBOIW=9$%7Vq#lhYc^T|
zOiNWFzrjrtBq^Wfmz2og$L?^|i~4UbDaqEda>AOD!#>R5BsxU$ziEryDvI^^;4MW7
zUxp!T82I(yKR}XdgLXx-BZdS|_Ef6hO}zebj}#Iw#Wa_I;lR0w?$E!gZ!vjNjTyoT
zTqZ&|s<HgPB8A<xBA7qSFwlmLSAsI441WLc@X!d<TD_&Eqy!T;%j`t`KBC)-Dw3Kl
zgl$P;x@t|YYkCea<tU<Z4HWm}`WZz;yj6}ohC*5wy&c&)uZCm|2(d^m#VWB?|13FJ
zSsB`XGe-!N{T71U9f-%FcE>nl>e@;Uibosl{VWEU9fHl@QinPa4?284+V+>mK)v=z
zXcC`axHlmtm&q)??6>j0h~kG$*aX30W=SYuF;>a1xq5&#f<fpo##NB6QG%});-a9S
zaNorR@7gz{aPyXqvf+8^(CxT#ZYImf{K~#o!{Imq4A8%=uExF^v1i$~gTwu60nQmk
zI=@uRKDvtYwEXc6cm*vf`+CFtURP9jRzOKfu7SjnY*ZZz-oD-455LH#cu`oa=_|C}
zTa*ypN3X5>?33`zcIx|M+_+nqb!kzp>*RIGXU8t)AEcu8dY|7_kvQRV!BOm*s44<s
z`{+@1%)v?W6_d&E4QR%k9)b{d^=e~8%WIW4s3`B0rsO#;AemmP{y@FjWKsH1NvSy-
zDF?-cgKBFKD19F~sV4I01MI?{xXB(p<!B5j=Y;~@BEJXN%*J9+x--hGudl~h4kT0;
z<>XjDLyL&?gM#LLE`gQBMQLRuU>QOceWsUb!!$-pEt?m?j)77z-CHy?G-YY2soSmp
zXxM1roy8y;-K+jI>JP$840dsNXvmL?h`?cUf<UR7&68!$2q}n!TK-tfzfh-S-PUa=
z%~$bJ4kaZjDypUm{R_P3f?en>s1h(N=dmav#tP4-fnXM3fMjB3E*Y!y-AIs?l|?0O
zZrmM~ym4c-sww$;=!*CyJdfo4mAWstU)QHD5$dNTlJ*nEwd+Sw37a&>wJj6;N(tM=
z;sY0e{ASJ;BBzJr&)vT6Aw}UL5v`5aL%{vLgY>g^m#Nf5J2ySYJ=|t`qz_v0y;kEi
z$V+=9IP9{;tu8BJoUpYrVNu%W=5p#GCE%%ixO;%reJyh;%+L3|CN}yxQ?shYYCZIc
z1V1cKwdR&PyX6npd`X`TYUgWzy)=T#GQ>3Fk!S#ko<T#Sgf-CJ{ALYx@=Q^3@JPw~
z*}JhpO_yzD%>Jz^)*I<v8jSZVEZf-Z)-VGzpEu^+Z*dvpMxip-Nt8WuU&PJrc{>+=
zbg!F3Q3NEFS9Su-8;8fhFU6TYzBzF7=g|ucCU0fr6aKmyrT0LQhOE#2oL5o}8{``5
z!#<6DQ6TpgzPZdv1Nv8U&L#1j{s$RSTO~*-E&+8}MyFHFu7@z>-8T>WUYF{DBm_ft
z0E{>X`%ql~-@E*Wu$${!Uz~VwEiNYak~~N*LWZE2??Ebe7Al`K!>c-tyGv{S2QjMi
zzhTtO%yB*B?Ef1=RU@gzq~o|<C$J!g88>$FtK?(uU6ls4snI%Lca-ofhKu!zeS7?M
zZN$uI$-8$8wtYikP}Vt#jsj5J0(0REU$#a{u{KL8NGeW)zYDlPY0q<X-UI_eHv*;y
z+gB%L-BNx2a*#&(pq@KBJA_*<$Gfh81lE#wOzK8P>SRDIkPm0ZRS#{6EjQ6BK$n5w
zx*D6Cn@fh51L6h683w_FkHWJ7uozXQSDWw9>|0w~tYbq%`&eb`zW)BsB#-+%^!sU~
zJu|c0{|;nri@EiWJd)nJ%mGKDbqaK4g>YGpV2{U=Hm=D+SP5&AuXiUkEv;XbQ|?mZ
z|4rEXUjP*Uj{&Ive(*oh`CluH|0$4q%#px0te98jaxv&5X+Zu~OfE!xySvy|M2JU6
z6jq#pIw3tYBv=kxS`)y_W^Go3AFSOAE5r@poyg4(XgH7v>c8|X--89c5|w9*aruGK
z`MriAtvUu#6P_&1%J05!xv|V)>Iq_^qR#<{_|-R5TU3z;dl&0bj^?AHq%;KyH_Rrn
z!UKm*iJq#Pm*|+v$jA_ZW^m*B!HP2bp*B1)pwEFjD)XLOb4}R#)hus&O|?7fYD9U(
zhi7jmzUiL7m-E_3Rpj~=&9$e5qAR9C^3@F0PrCkoO7Jsj(+JAqu_*tk#&GBP+eh@N
zA6_<E3#b}hkFT^(Bg$apJJ1ih9UrJ8)i-=GrgNSh=^Ku=Qr)ly-&w*4<K2&~6U9&%
z68xY;n6yQF099W<aem9AsHVox!rk4Sb9De{ZEOpEMfv%-1D<eoDz@k;pA~Q}v+&)!
zRK~lzGOMR2bSIRrc=WZ{l+A^m|4?SrzHbP^$61;5wwZ>%?(TX$c+jpvJqOVT;$IG=
zJNH4Y)Uto#?^es_NUajEJw2i&PkgNVH^jumQh36PDd*?slTA+j6$UEvO#yO27gqHq
zR*eP43yk7iP9}QOOp|*<=vHd+4fWC*({9zz6i(?WYHoI%Jaef$C(w*E9`LhmOzCqb
zi{~8~qqy@(lu2iae(A4=<~LWHb5xUxmvsdoX8bI3ls}aqb}lY4=0>YNkLmCCldAuW
zL#)cbpTPt_yGmYdydu{4Sd*RzHbi;3SGARp|D848m$}g78W1$Oigr#)q~PxB>2dUr
zRyf5CF|zGQuV#Dw=FOx6$Ma`*Pch`Uvj6E&Q=)Lfvnp|p=NgKd_x$|{;x%RwS$2w(
zt6iB3Hf4jJ94CS~YcgHnaKarJti={+Pl6{J;@W0t$puey7;9;3({-kZ*vd~(g{C(c
zb=RQ)PvPQt&bcp?lBs)lvpOl0xkWJNv8$c^UcTNK!aoMT^XaXNL;5;lHp*U%J1TWY
zePl-oRZHCNkt=Cva9!pz3m@)wP-nUrCo-rvlKIQFNx`XoDyVcXv^+IVv3)7L1y!@Y
zJv^7!J5~|3m@C&ehSYV(zODY~u}?hmBrLlgacOT2fDM0hkxx)a#ew8=tC?Oy_H<c1
z`{!3jusN#uMTBg4R`_{xj_0|V3rR^yRpR2}3dp9%X&^Nf6%-cAQ16-wCK0Z!I?~@~
znBCYzk;li!8&mO{fK=Rm`;mcxuPOcgB(m;c>zte%1_9%bPuk5_u0LN@nRx%HhqaJR
zuQ)FJ;pwguS^-D#iVf1`wmdL7l-88Ag8x%T`h;J$FUsSzvI2txwctYQ5qU!*_cT4e
z^K1@EVFOi|d@bb~rJYAUmYorKBCmwh_NK}R8RZG*^?Nst#bWnZyfl^@e|?K!KRGr=
z46wGgrcE9Nm=JOsh)3KCr;=>T2K!wG-cJs~;;!`q)mB!^#6-3zEdBz;8pCV<hKa`)
z={__r#V%<x(F#2GYy|HTUM?(h4Y=~e$8Z^zopU`JPiCrCP``bC?8N5oAn(P9?diF%
zGxinz^uGdwExR2wm;@eh$WRxm6x7e2$IuQ46>X!t{-SdZqhVrb|7S12TT3Y6EC+hq
zG`^g`v`99_^L*7H*zuOXLd?mm`N7X;#}xc)*zOKgJ=y(!TdJ_QICEfRBtUj`GR>vI
zm)OFMG6w5Y3z&Y~qx*pd8Q4X7R0i)WtgZvAo!IE@y_IXznMo|EHMD(eGaDq)@N~^c
zvBvDWlSW0wh$LWZzV;Q~SeN43<iAUDdox819jb~kOXEkrD=ys*cyy?||JnJqG9BJa
zQLfEHpjd+6Y(DrTwbrz#-qzS|U%?%fC@<zxGrQ0|7syq#t-jyh=?wi9Sw0k}*w$}^
zY8zdT-r4gnL-$1C@HLNgbXaLvPVv{_a?@^YKFY1HCr*Bz%$GHZ$(o=4JQ-}`LfTGw
z&gTZI(~Rn&rlu?8RaDmeO2^GJm-y`{*uaW?Kv8qyI4(e8me^$4)feXvv)|)Ay+)s(
zremXG3K<Ly?eaR`yp{*K3Di@}Auk`F2Bf3S>ZWbCg4Ev`VGL?tul>G1U(fPZqmhn|
z*lCG#KCXR*20_b3#$Y$468(KW2yoy71OWUZkaq<Ie1L*Au-xx@*%%jbNuZ{n<Pe-}
z%i=Kvq1UP_>wc$4CQ8_{Nj_L2dMYJjZnhI;M$Hn}Vx`rF`_q<vr-%(j9mjKTihG)y
zp<vh5$C3{-Gc)6-IYy{iSew_ntBnQ0$X#eS4!D0ZHm?oO+bTK(LBKYoJx$!@P_cg_
z)Z?rk1XWyEm~N`A9cMs_!i{~Em6a&k$xB?n2edrd<Pa<#o;5E5p*Wodgaxl3sbY()
zn)De|Bd0we8Wd&@PEN9RfDUVH>Hu1~pge(9yXLMN7#Qfkv$z*<c!uLSX;foBfBrnd
z!hBc40_4#&N_Y2v0^bW{7h5CGX#iA3ymIb7PQ-hLIwgTnD@(qapdro=6mzDDR1+to
z-`8UY#B^;}Ret}W)g{u%_h;Vjw?ayO$9Cw&>)^GB-@iXXpZ&LsV{iWV#s5FG#yhKW
zsvCyta(mORblmDPLg88NAt{X!x1E5ja723JKxb#21TRR1n=`xmrygH>&-9TatsSwI
zo8~<9Q=1*^aZS5$cUSk+r0B%;iPiwQqk_!VS-0wbiXgJ+A9EWTxo&ZPTyERW(v1>7
zQtf^&MbsV}r%5jW86#JNn4UIHZ?{2#4S$1^zWK$)9k)b9rxi~1hn*ig8%ae=A&8%!
z*H37hF&$K3_iuJRz__xE4-O1SoRnbxSP7Pu!f0CuN*+W1QTX|jgij`ayq-dAmb}g#
zaLV)+tCf?qkV~K>$|4F*ID+ky_F#0en)D{!_3D7D?ls~Xzqqonr*_VXXwpBRY@ku2
zbUv9??D=7EY45fd2vueUB_%GMa~tO<%uaIz)cQkwL76y-TrKU^^1|dt+dobE=L#of
zy+Na=HyWW=P@Qv~l%GL5C$pFc3fTjTc(}E{r^gE5lixtC9zfd)2sj_rcprczpNU-n
z)%Z}I<D)qRRpf1O2ZvvRb1RVIkN5_{_BGh)JAz5l63?Gl)8BW|2k(ds-x#g@y^_(g
zKa*2G8JU=vP#!Sf1|!3ey}?NF=@v@FTP3crOFyeMIWZ9tI%OQ>bYGJmGBiBQsr<AV
zSU)mrJ{3U4ixdt2gm{a{lRid<hNe0a0X2D{J$`Gv!93y4%Qy>`<{buFjRh}z$tM>5
z9%nh8(*+la*mfA71F>uM&H2xFIG#sP`knhT(LMHsId&3n-<#b8ux=gT0@b^x*vWDs
z-V|qSI@0$Ri|sFF@uX@>1eE7dmJKe|oF{L*VA2UT;1XX0>xlrRiGh5)WyXz)Ea~}q
z!TkLEm!Nu8#=iPYB6>~`ygdL<6*n+5JKC0r=FS_m3A)v#dDu%c$}OS#%~qw-YQd>$
zbi1Q`h+r@k(JV96l}>_RlBJHHVR~a;!_UiyY8|?VP7Amy8Mec+v-rcWq4!c;Ro$l+
zSM0{(kFTvO|25y4yF0eK-&E0k>x8_>qXRizDbKN-s?oli$iNrpnKWd#dW;l5XuvpK
zBq-`GHkwk*PYph1QSgo<%i<X_*3xpbJvBKX*sp$4-2`m?M`?fsRt4yP6+^4;^Yf=T
zM7Mg(eSLlXLC&eHlol|mbTqNHp3!XFajPB?53$YWsR1eZh@NB)DRUfP4$hQWt*xya
zSv)molPUT61O)2sCO?P5Dc$2Zo|h<TZVr)<-I|rs2Wk6(IvMTt7d+vJ3|;@Q#HgvR
zYZP_7h_D15W48O6M<=Q5$S-j24@Zffy=L`+khh<rY1qMvu(CV%<Oyuh7i6y_U4L!W
z)`6dWQze#KnwQzFgV<unI<+ZcTdWRg>ul~xCy4&S(yrQs1d$a(XqnA3E)d3xM3kBD
z?soEoAJR9kT>xyxudbm%P6TnV+Yd1M5a2-RV98_1#^(*W0k+K?a<sR{1<;CnV=8^t
zekp}idCQv_7^G0xR8>~8K_2SpY_**KJTvIHy~TXX(Z>smhKT{F5c5b+Pon^c%K87S
z@~0jYb(aB^nx-FC(>e9nb8abneSICkisdG-;hf@YV?Ed<kihXgEF^;Ggikh)U*(Nw
zJ3mc_MvlQ<(?fthORKB*{3gDLj|Xh*$7#q_L!Yna@PrFC0LYX{o-7}9Xxm?C;O-0J
z1R(@Z`%Cvo?D?yqemg1)y5*Th<S|q&kRCc@xx4FOxGdZAp@M1Gjs#X`-c;ruNfn|G
zR?3HlS$?6A0r300hEc4`aD`KIxxHiKhLs%_1o8&0E<bdU@29j@?nB<9?aW0x0{?0*
z3C^in&c7W=TT%|vvur!H!);HGzC0nDwEStbEyRo*9_)1mJ<$2u)5AkXS4)e0^?1xH
z{o+nTo4aUO9K;lMvrGb1M&&_l<$z5-(b<vGq-Qnx{;4+Lilv>i^C8=+xf}{Z`x?9<
z1i8X|zpK(L6-Ze>6WeBvao^dijnV+DVwM~--lV1+P3}@R#duU{Eig?*GpI|>#E%1h
z1H)9WpcHqF^s(<h)>^mKk0<-<`r)HO<u__8dHt4u#?RU|y%aZ1V%6rm0*|S9S3gtg
z5tO+<*i7_Q@qfx*S(J~NVa1C~@Lu<{KRoM;czh((*xN{Vo9?ILU(?G@%)+29WJD!%
zS`7taje5kZ2k8=P6Q3t}sqf%U(_NFH6(uh_b0&NFO7xTlnH6|HA&97_tD6Z)PinF1
z$US=PeTrk(GV(Y`GMyPaS57V-xqbVQN7DhEyB&gGq$Z4`2W%F=k~(!It^IHoXs+_-
z|8{V2xCwHazbE~D@r$hi6=ebcF^q~R_zz)JN>M)j<0zT`-8w`IYbK=P-ynQ61QTf_
z7(X6QwMYY-R0`UZG(8@GINxSdrZMAI{qfD4H=NN^R3Um4Re%l#Vc;3S$??z6JD-e>
zp4!D33o-y9unItPI=jfJU8hYE&MM&4WsM*;iw9*d?vWUNEWgSQ4ulXKDVtZo`%S4G
zftpIN53dqDPG6$BL}u8J1>0=dS66Q#JKr3c)?NWt(x4^;5_rp*Pk}_Wk<BATvn%jZ
z4f%BP(nKU+)eS`e5@*9h!T$PagEE_X&hV^_VCfLr3Hu3EQ2e11F!(V2vOx-{9#VgO
z6pd?1*D*80Xd8wDln{FUvo**;;C&!F@@N_kmQt{n;X(dL>G5=7SC*ThiyZat$wQqt
znrwY@&7r6-COG&<GwIrT(W5(uRJ+h8!cXkOmuVwF1{){CEF$Dkc*z83l7?ceH{exK
zqV&4cn(Q;+q9tU-gT0l1Kzo#lJ*5wGNOrJ11#@soEdTpIi~+_(X`gGid$Z-oXl;lP
z#3)#5f*Ja0Z0y$W+#cnG=WeO?Q#jWzC}g~7+;4Xkc6Q-0a<>~5at_H~**p3;v}T-N
z2B9(O+P{3jwqPA1*|^mxa+_}T%IbY{Mfn|UV4XkN(aDi><q*9sO)vI|jYhggn~7T!
zqxB=h=KIV)>S<;rBZI%d+;D=Fx(xfi?|$N0{GwH9b4wabr8BNEG_6ya)4h+KP9w5Y
zHtlG-@RZbFh?_k-7NP8B>A`!_jpD7hYq;gBWAkaPwP5`_dOP3-NXYz`rH_<7r$d*Y
zH98_I;-u~`F_vV7HIF`X7YQDZJHb=y=lPgGzp80|M}7x+GM6F-Lg$CWzz6j%wMH+x
z1$sTMJtGkceJc@vNa^nK%$Igt`LBbemB!E8Y!jvvP_MeYPn*5{aH<I_^UKn5B@h=r
zM>B!=>XNV;1>fbUWKr8y(+BGeFHA=NV3k7_2tQTvNmKQ|`kDR*d+#09WVfb`Qxs4H
z^tB*eC4dNm3Q7k%hWZLpq$|B6y#=r!Hb4V{AP^M+5krRnfe=8!P?g>iI!FnjCO`=J
z?I7<tXU@!g^L;b($E@EP*J3U6B+v8gdhhGLu6y5G^AG7=fpQD?J^X~l_VD}bo!K;E
zG#}csQU7>SOR%CBkC(;!*nPO>-dNs7+DnLHZ{jr8`bM{f^1C0`cUiP+_f23a5wyMb
zQa8l)Jx;%{{kfkiFjqyK@!`OI>B+fo3w3C7;H2rC*z-u8dGp{xoX09#hlzCzlZWi!
z6bb6U;Rt<DqZzj=DeI*jMDbm$KihJ@z**<kVI;KR^zVMp&T$#;z)n@9xE^13*^+{`
zM_Dm%eu}C{m6I9^+gKBZ?q8A_*1Z^#==%1?gXgn*VOxT4`ZeD=9<E=>4%?WMri#Jy
z=m9R`P|q`*Ybsu+KwYZ$6;{6|3|vH9iFjPwjdyq_90+@#S9G6te+vD2;5BAr>3Qu|
z8`c@$PZjV|UD)r%fm`-5mL=|+C{dVePpR2)>$noR;m4fx!;E@GzQ;`O@&9HwoKm|O
z)pwSu-{|zh38>AI5v_Q=JS>;z<J=W&ZSA5adtbfR;J}~0lh{Z*agx`Yz0J~s))(7q
zM!RdzN610F=g4+t)*)B!f*`N$&iXcN43DtT@Ag+pJNKO&JMFzmQE%K0&!e(dmd1KZ
z-EjEA{WWzZ#TwPI8VQ>?M%AVg*ghQk#1hs>zJ{xiN$?MTKX~cNT$V!Ky!R$bz0t4b
zaHx~4{bOp00tC#p-$NDtxM>V#F{>=<m%o^Mr9x2Q2sz1v`YE4eu{L`cR!qUltk7&U
zdQ1+JsqpcaMCY@4m<{lv4Y}8lYjvH>@kGoMfLCw#=6xXD;<0=<n)hz%Tle-W>iVVw
z;h!k-aNh4OaEbK1>gzl7q}sIPr=-l>dxeXvUpjhFV*z4pM;-@ORd2OpP?)P&ksA-t
zJS@EMT?mC&n*#m>?bA?h!bm$`KH;@0=BDga6r=og2Zr$?Ya+vzRTkB+#zp*F&aCW=
z7_NH5NZNC3*gok`{fU;@^yIMIwv%(#A1OAr)-<)Qj4*ymcVb;c9cP0?KCIqLf8udR
zM<lHVQZqwfsj^(2R9E>T$}jFbHLR9A{`A-BGEQjisAF&1`0rH%%D<;iJ=ZT&u{Y{|
z#*rHxPgm56$ZC<a!b_!y$*R>=!CG=Bw|;wwSHL+|a|>iO7)^gBj$w|xP{B0av(7&1
zZw}0#)QwE*MEH2=8_qeSU!qr*cmntrPU19L-CwjfdjIZwenTtiIUZ7av+^-(#jOL=
z`Y-0%GOAKEUJ&CXdG{3(<>%dxwH?RS*KS=5j-|m)XMh(8dWDaynXjaTy+5?(F%r0^
ziv44Nt25@$HfFMT&}huA1o(J2M<nvVnh-928GVBVGnLs}{o5>b#<lW&q3^1UA=us(
zIrj7pO>V&veu(w3Wo{z;i-OT^>AOyHI%u<9n^FrwHd=`o0{0hbRV(hnvyar(u|MYB
z-?fblMNHPNTECL^KXSN~4=a1aK^kO+GiC2L32&908@dj^;D0@_Kv3`8?NuYlw1B$u
zclGO*$;^ZRUh)*nX;{1~YpaxCbyn<7{SEkqnS^BohqU1hr9w`-TS*2UYF@YAZ!SXa
z|3JDSu)SL6<a`f6kIA3bXZ2)}VYZrS?>UWy!1uiNIchdPxIMq?jE7&;E>1&+R$@5^
zI<VQ;x13|sEf=XXZ9`C&es^r;WqPXZx^?LkN0=zCiZ?@^wbE01PGqL&)@VWPR@otH
z;_t=@{v+-SyWgH47ysyOhBuoL)eTpb;7REctaRSMM-XgTB;?nc+;A0kYXvjhXQO)Q
z+`y`9<k{j^&HXUzJ9Ew-d5$(#5gUC1<#7A@=$v0p4{Ec5wUYzJ9uQEHw>4-{hM+Ue
zL-zdPxqFMl;^H~i^?6G-ACv+7u6e4yho@A#U)Ori<MzLbV{mWd-kn+8>qw-m&`OGJ
zNe&Wgve!KPE<BG!zr$pY7Wf_*Qj`GMzb;bOJM`zgyGdGI!;N;ml}W+UtUr%xS;MOQ
zmEDi+NueZCQRrf;kh)VXe3hx|7rFT__D$nwcIGJD|0d`hYhLmYDGUF^ZlWUB?{{NB
zpy-nTmXtu0r1e;5?)Uh+YOsKz#p3vCobbzYqj=|6*}Tq^!+4J7-C>%Ae-Kz9N@~Kg
zb3Bd>5hT79#GkkS@>8FK^@(M0ZzX?OwKg>>u6d9+H+yOLC_HJ0C2KeJ6T_hh8fW`i
zZ!T*2uz6-hMfALq{z&E@z6j@?IW<he%GLeI+IeZT5-<zI6^lD@I~TYf78}a{Rio=q
zn5}k*f>Q<$p+6UjWL8_JCpL2xv*;&w3iNTF?cht8!k=b}>RE})=-R&#cU-kLER`bZ
zQ=QyZsXN00!u7CbS0J4vllHd@td4_!@qhnF>74=%rWvtbXKM9Vy}#LbFOVlgE=uOx
zylK?lzUs^)w;ZJ*jh}k=tnjC>X1JA``(Cc{SPvoMy&L!pzG1vkX4G$!%|BL8QW@Dq
zn%AN<Lj-BrHk+r0-~AMh>cl(kzAbn0h?8)})(+ar{uON;K`Du(JxuT1nd*?kRqsDK
zt=&UyWJJ>1B7SIwN3j;|jdhLs@z)Qcov-X!NNXa$^PnuVE}mRSJ-#Bl({Q%^f3j32
z7TP|G%JWqk`l+4D^o4z%eV%#rpMGLZBCol?`Kqk>FTee(X_@)8B2Z}8UrP25ce=;<
zsNII_IU5n?t@Gc=JJ+DF8vu$s-4V&?&D^;J#u8g#p6nb&yFhoR90s!O`xe4@d-sN(
z`gUQbuF$F*KCeo+us5;R5#qxx@QA-iSLdU^aig7kxqF^TM%FEWg$JO^AKF#V4F&%y
zNHiaKgDi^{I#uO;{_3~Cdc7Y0@IGfmIrcbKd|24#>`Qjz)jy~Bh9|IAkfF512;lmf
z#5E7U{$0$@A|7Uq8GjGKg_v5h23Foi7j;f-PPN=X>pa#x?(SbCahikjz(X`IQ#G@d
zv})QeLDo>4@u-Zu2@Zd)`UWI|ac{WL+9i~$z<rIw7o4&6Ad%_k&n}lZMp$8og0$5U
zbZtu9|A`a4@*i@7^Zh#xd^X3NQSXr2=ky=K_RYHk#}r$y-|Te7!1rJ7q*(x$qZGJ4
z+=^9A({&L|KqlTgo!BIl+BSulH*=gHEZ=4WfiTF3CAW+d*HzwEmIX?B7ld-eq7zaz
z!o#MM&%1i;J8n@DxOn#=nm<`FbM>i_d|oA@TN81txYXbrk*QupBd*ZaN;e+&g3OU|
z^PriTGi+2cnS_Z-h!RP+qr-ywu89Z{?=ZTaUxj}!RXal2X7*&vwU8$x`xau@xy7J+
zg<drW!UTKIy?}A|mfai6?CkFL5WLX`qCyxxlTaWKD#}4rR!||MbQ~kgScwSp`=a-M
z+?IITk|uKbdn*tQTtSnbUGM_Jo)*W*0QjIGnZj!Gcb-w6bko+bBUQ?&d8o3kyi@|=
zFczn8SUPHz8M<bDtbdwxwEa!~yqtCa;#Cec-gq!7K8`Fp4m-fVb@Jbj#F8RHBBCN%
z(iP+n=ZtVH%<C8S521t0!$iG~tK{uc{9tBgHoB!Pmd*Dc5|ja{R&-;Vpq`5|UhH1q
zU=%z`A#ztgpfHE`*S@}asOk>LMdB_wm|S1x6uLXERW-Fxlt)x0=#Q%hgk--sj`@`o
ztCJxhG)cFwhCPOSCgbMK;9;pxiecjRQ6jaE5u1PX4`_yLTh01}i%VRKa`)+Mtuk(@
zVVs*H!y~UmlAjs%4|S>Y2PP06qF+`<AebF82PyfcfM<J;wHuC2t-;H%EPSiIms?%>
z;pAQ>uoLM3q-N~ovm@7mTMfp>vqMox{EdN`64mfNBVV`P8`PqlAm<wW+mvb9!jUMA
z3|NbX0m*Z)K-2KvrcR+D`GF4GhbMDk)HCZTMNGc}x4wm$y}Vw3qgsK9j2V9TB7}C<
zPFz>s@+qUufBwN*%^b5^oF#8}D_BrB<#0L#g_!<dw|oJ1H)q~tKDpbNSwu9cpx?Ai
z{nhxlb<1I|;S2B;u5@_e@ka~G7BT@RaDgQ5<D0(y#m+sHGtbFJOg9hV`wdk9?~Q;y
z*d^hIE*4xP0aZ(9N}900b`Q22xZ=5ho(55Mp&W`Ffrc&$nRtDU{SC!mDiJNHPEQs5
z#`vl3a93ukmH&YxTwG})>DTbO6sF8arK*?G!5hb?kUQjk^EN!VVmyMzHdreE#XpYn
zm|<C>Kb*!sj3iD$;>10f!k7imJsUGP0O*Pk?tBF=4KKkT?ZjYFsNSodm%GAZMb~G)
z@)!!%<^ED0BX<JU&k_h{Mu2n=q7~XVb^BR8*-`HKLEOXaWq94<liVo~G#K`$fx%J|
z*w4m!pTvkvhya9fVrOUPS8!_|&)TKqS)QNwlz3Lt$g|KTk=Qp0`yJJ*@2uYNzwKK(
z=+ADb?k!^<1(`lzCKB|5tA}uL`B?~Gc;njuX+fTo55MQGhBt|vO!a5V$P2wT<4%Hd
z%SeVdy+#d%nV1o280QY=)t0yIE*`P+{Uk1~W^_aKoH;}AXP(Fvd6MU0L46ioAbIZA
zptz%UCY~YqKXlg(p?Mb#72jM8as4(Pjs|*v4iInY=W|u&o|5OQt+c*P#btER7pzf3
z>K`<IfG~@3ARKSb1G?}EdA4@T2EK~4c%)0ylEV(Hi`19T2@VoJa{*y=S0In5;BbrG
zx$s!P<bc#M;fx?!ppskmgDpkL`)heFb2Pk8NFcCOrqw=hzIn)KhfcQoO()AioCQl6
zy9_G;*OMMW0`!q5OB)#YcYxiNya*yB{IKm}+6jaEuD*W#dg|IuUq0NI$-e~(<Oe;o
zHt)TzQ-2M;aencIQoNA=LTQ7&rqCtaN_Me&flI?N;|on&)|Dr^FsMPYgqa8|B@wp7
z!fQIKdHawqGvTFi$k>SvrWHr|Ap!ofC7sD9TiRR}7h38+-h@Yb8*Db8q{v+fdE)(n
z5BnmFle<`LNTC0U-3KRm10%hok?QB=4J!oE#&K+r7A8+ekC#zwf0BQLVUd@B=*jbg
zS(uv->>ZQ~-`b1=!pyQM#|Q#&=C6R9ddJ4x2FS61Tz1_imjlcuycS2l#j<#k!Z3w}
z=h&M)fF8^A?(?h4g=c@o0(_nU1bPz?A!ZfadKcyZbLs-fEMXu+r5S@=a!olBpzkRA
zYoBaARS~zl;ob0wH?`;>`c!I#hI>wwM9)d4<M~0;NckbEf)yFZ`CaFzMktJUyx)d(
z0fa1+JX)KG=*Xm=IYr_k7G9`Lzv$BOQw6SZH6aTq|NP2uC|9_4PF44QeQ~J0_~8=c
z+M<gtBIC&8f{iiEJlQ9|JqkI-|C0|W*%H?aHMqVfL8dPzGU>nk=)?ih5UA!~yZ3&u
z<>+u1698z$loxU@>0d72u};2AzfuUc7?y$|Kmr2z#Qs`W$uGu7ul+2F<f~N6ROL86
zXRa7(cZ|m1)7?BgFv4pKEeb=GTjO#1AZR93^4W*yo)y!XSxi7%r}v$A?Y1CvcCLiM
zQ@)|?<S}7q<>+;bhhK=i4sHDQA!~Oki&}H0u2h?oV9_Ekr?Yj{W0-mn^UcWe8|<S`
zOD8p2)6_z&%!sKgZ)au1M{}G@P!jx$l*eon8!fV7qcKITRCn-g@q%OQ+1lwxAB){*
zoUB10|J-d5C@~t{lbQexONx7D2J6W54EJcQ%=^e-p4a=Luco{*4rzB<51#e$!~i0B
znc_g?vasw8E=m{|SOPnS)-4lXN762_o>ZwaPsLvrk9*2Vb$=BJVlSgOqq4}ifE1C=
z8P&wzt_gG)N(B4z`lcTfm~-q*eJ7vI&r2Jc{vzH#`OG5J{mZkl`<`kXNcYN>I@f7a
z3X3e263ai>m1g^d#I=nK?0euJ13xowU0pieel(EVbXR2}q?BCyYoGqNlfc8NW+Uti
z6?t=oBo`z)Y;HL-cVw@evj*G#%WEN1>kKlR0JbM^G^YWgJIs>ThV{wVn&HhuKyq24
zt=<F?JuF^U;&DM@1CD1Y;*a+0Bq$%@I@{({X)h%UqcmJSJl0FC<vIA8c;Vng#{0AE
z4CwiBw1@f2NjC)kTZLhVNDO%w1I6yfu%xhcvWl>7wURG-?h<4UJ-FrwS3RLY$bNlC
z9^k0-D;!x@Zx(xv)knL6Nbmu`Mi-f*Jk(Ca;Wl}^I2OFr5kp6YflVTQ`uw@##G{24
zI2=CI2BIeBKU{mB2Ift!le6=>8^_4iVcfOnM^?)pcmo`F8#Hk3{#r2*&k>xty!nDp
zZmYndC7BVxfkiMgA~-6*N858r&FAZub)57|OTv_dX00EbyldH#7*L@;5+C<wp%fKU
z`~Blj)b!)GP8d?n_$3e$v7BhR`{Mdd&HSFA?9*%898CKY0O8RG-f(Wl0G^8#QiE^c
zq}KJF75mDE-8e)gnFuzFMR-2mk5O`Nhj^C@f~_8QrBmS+K==&ai+AWr02F%`5FO7w
z`+)j(Z`0SY>Os9?%usigUI6$hVmHXKSGg`=*(Ph6{|?|$OXkpu!b0znFSm=jzku9N
z1~#t1MCnI`_3#&6zEPUis%>keKP{jv!rr00jcT6hCo@|`m_v;>sbXIHpche8Ei4bq
z)XQBFnzz&u)~}i-Vpv;6p`!PW<tsh=fR31LY-$QO0?+KPvSMfvATm$|q#0Z%T;`7&
zyWyQ~F$AKECqQsgdD}%l5NGx3_#<t(q~^0AOp>VfVwMxw`PtuLCTGq+`@o2O1FA|w
zzsm%_T1H0}d81?r=QsuM&gdXY?%w=>p{I$~00Y~IBYcj;wJEup_HV}>I?I0)8r~hq
z5h#Sa?2>nU&xh;SQ}B4MwiPSC-bfH_sNfY)Erw=@wfATD4#)r<BV<>w*&kulvLj%R
zFPDuL+m7?ZdO?txpx1VIhgyfWpZUIGeRao8D^}ru%H-+rXyX+Fe1K7W*1n7-&+`~g
z0?q&Hq?>Dm2&=?CL&VOn<ugH<gm^ZOlyR<coGEE4VU6Hn31{14($OjR+<6_pVY`Lh
zY0kk$GGB!sRyM-uA`|y60&B{i%H3<C0KcS-9{v3)h;uW;_tS$9d&ohbJ+AgcZ<!36
zU|(VJ*a9s2J|atzQG?ZE#l`I#Uk&AlU_7UJG_K>es7r;<)%$(=6dmy4;qMz<`(Re}
z>b%xxQm!yuvtmx*Dz?hb4Yjn^;B$qUKSK?aLJw_+;naEH9WljYPxo)+?r%^-@KmKR
zJbC$3;08=VeziT5z2~g4Ca7xNrxmQpp8$(Ca%()|(pVQOrXa*z+xfB#7weNm&nSbN
z60Y^l>E0Y94?D%CTPJ-ADvmm~3f52(CwA96@SuSTkm3o-Z`f~~H<3Zwd;*hMSG==)
zgg=p>1;DRls(SQOBhov&nI=P$4~bK~jHuXX_sen1<GoG%h9W3b1$B&XN|jYru7B+1
zGb2FFAXpQbWm&D}vgWKJX|jfMAbd1i@e$KKou)==U#K>%v;(Q1dzXefl25YdeU+r@
z+@LHZq#FK>mwoUX27!6gTz2mYze9($K<`G>#8>lD17%y~!xF-p>o=nW))?*PFAD5c
zHS;F>g5)qftZ_@^9qXFbGa4W(4!=H)!q>#drfByaXJ`4b@!i&~jLep7GT5|c2+~YO
z5|&1}<H%jEC?OQX(TG)puDe=&vzkhCf5~9B`*lC2ei*qi+y-&x$1u4OjU5CR5ZFlI
zw<m9NT&GSQY<qL1?+&|Xh=qUWfp{H+*6hI?e;{}l&C$O}U3YUkNC-Z0*i$*C`Qy|5
zEX1~IY-Yc*nQ-WvZaORl_&Ndw1vlUy)dn_-^fyeO)b?Bt5oBFhQ7>tV6(nBT=2Cu>
z0bA&N+MYFm{ShXt61<HvyIM)<NI(jJG0^Uj?KA0Nl3_^6a$nWBen)=bTGGCQlPUcZ
zSFhrjsd5vdQ%kju)t3$HU~GY6Py?5{qi$E_iw6xv(?g5de|P+~i_Rz?PZ>9SYL~t_
z<5%s%vW<5B%DlhCR%=d<4-;h!&&D*zSN#fH%(ykcXmR;K#tI>x#84PMj-06li8p32
z<w=2c*R>pV1iJ1qj90%5z-7A6+`&Z1&N<LrGq8lca&@dxQq7C)=55JG7aKTb3#WU6
znCgW>nxDM50`4%NgW(KVDQAU}zuRr`g@3TyT?38&mBsg4v^|Lhz*pqX*!)x%6_5|^
zg|mT7$)Gt*_cy3y1^x;Z^jEdMH+l~^TOZeRL!3e;l}_S*51h*5d*-iKjqhPtD*4gJ
za#$5%#Y1n{u3}w=@7Xk+AxnaZI3Sg(4)Q^A#<jI_X(NDTdybo0LAAP{IE6bm-<!@C
zF!!_W+!2P=nC6RNB5h&mOr)8Kjc717lJET5AyDA;FLWA-LR_laq#DZzx%-Y0Ns^T9
zWe416s|9Ap-eIuUD1Yy7a-CI&O^;Q0cOljt`{*wQ71%T}Ff)~~1S}0$7XzDv`}dlQ
zE~pHj$67*|hkUjt)3))dj|ZGENoKBXx7o(Y9<~${#W4NtDZu!){SDk9f)X7`yTW>s
zYI-N!;$MEFVBXundQxC7^>55A+&`d=35hS|jTmB~KUh3R`~W{RV78}{4|t3p5QQCR
zhKT?U?9ZQ<IxHzaLfdG?d9XC6LB+;c)fbDNO80>Wyke;k6SO!xlx0g}6Hg6NKJ2OJ
zZ&xo3J>@SpC-@c59;kT-y-zU#vLLl8#XvnWbJauo=mQH#4?pm1h_hWJc7sII;O9M^
zPMn?sc<Sq0e&-6Ru+?Ti#VOq1577m@imdTtF~_-K39lj9><6Kvb_f2{gKw<_4R>K9
z(-mb7CxJ%kfp6N6$OGxj9Yq!$zF{Njbp&_URYR{JoY6G=`Q)kYA6tX`jWNm(V0mS4
zXw?ftbCmU_H%nV~v|sfZD6$#K7XMuSboKM9R-|zDh!&izYT1!e$`Za?-868M@Jb{G
zm^n%Q3oJhOhhBYj35*zz+z7lAuBgHm+Q!tKwJltHJkebmd|DPZr8(z=YuNJ^^`mUX
zxF2DuJH6tp^Cg&F%+NZ`CH$WDQcKTM(i>fe+CZicaOrJls)-`%<~~zk^~CnV=6Iq`
z*bw@=PV$?XH((4ASR-jtntq2)odVO5*+VSp`j$4Jq$B1>@Qtb*DRpGtFN~(V^nc;r
zD-KUmXe;0B>Z1q9Wxn;k9|{dhfzu|QdS0RYNCR-^o{_`9*tV-kg}7x+#|9Yq_g;z@
z3O%-%fJBD^-gI>YFt=*y%6kvLE@rJ{;$hAcy?ujt9(x}$&1cLUE^%A(Pte%#;Npo=
zl{ZVTd?Z!IFEagW7ra5O_{<q#9jKcPk!}_DBxO58?FZJIzwVh^O_P%h$GiG}?kLz2
zE0w8!4pU!!dWj+hHQ*_PEEc!=W)AUvEBN#s@TXO9yWLp&Db=vt{O!RXp{r`kZ6766
zNxav0Q}fSruv19=Fa2k+Z(9oKym?0rtQRw{E2o9uiSoJQdeFVC`eG2r{%e*pyDnIT
zuo|i_2!DXjz1(;W+2aI(x+Wjrv*2H`-&FOKsKHI(ky9n#y&(Q3>-+6f<pOrRJ^Cvb
z4WU^p8(Kiv*D~8!2e3|F1bup0Q)l3ye!-$dH6+ZLHEsx2U%I3lj(NLeBBTeL=Iod&
zaCry&zO(t93+AP5qpumREh!x$$#((-@G$m~d^`);Hq1}_WfZ>(R_X?bO>;?96~RA2
z*1Jxg!WsB~eSfQRVpnOmtYdqU&(lV&Jwze-Nzcb8?=~T}3SnO&VPnzSP8P*4Bt?Qr
z+(oe&cuObejMb-EP8h1NnQ+((IE^x4&kHM_s*M!vYLOykt^SnYKqBLHR3a7|+CI*`
zF`=vxh*tD(dEtndRe?9Ylhd~<M|xL0Z=8}jc>gp+L?Z4!oi&uLj7#yUoqt|u9%BNs
zBG}2SY5E1*MD9%Ae(#0)X!E_AD(tbS-Jkmh-hVlC`8{Gk9BC7kbo$EC=kjLVut{x|
zG>)pa9+wKAYfDivGW}_x$<g}ix_!?=l9ooo`_3Yv3g#YEL+||!`&DFh?uIZaFbUk}
zAGR5WVS}(G>2lJC--1^U?UoURc6r@<Mr4Q`?X8dBJVdR$;{z@@(_7xtwxiQoe;D1m
zDA+;nlyl3r)|1ao`E(*_QQ&m~xz}W{EQvRFgDtLAG4+{3tKf?1$DaoOl6^e4o_<~S
z!{T8b<z?T-7}XbZ<Iw%rd@J+QqI<g9H+tiW)mP>1*-0sPcfZ@QAd(_5joIq;x{(SY
zXZ?kH!-8<dfxL*!pF%OuE`jx6TM@Wn6>7q2Zs-PJ5)^JAH^17DKhdr6!<V8akB7DC
z^+;67^-Q^4Wm0zBAe-p%N0fHC22HDI+(l@s>-APf0*lqYHRqz0rEhz;OXXzJ#!@GB
zkothfLnY>1lKS%L7!~rb)K+`SKoo8&<=ckm*2|bF>qo*YmB(ZH7UHbWt;0ws<ecyF
z*Cmkcq9Jh-)q3#4k(s|rC>sZPjA1RS%*XFhy$IL;h-%y8NM*Dw|2@XE1qq2u35zDl
zq;&xy*~%NY&c+m8;kjFj^YlJ@KDu)Mu^8vuK^kv8vxodER&hpO=-n*js<{*A;w0Q<
zHNL8LI)f3*d{W7#S~yREwy4+0t@5PsArFKws(Qwm3Bwu6zb3c<8_ocQ@ecqN@1JE5
zP-o)#iQ4fZpSpI(TgLT|3<=HPPxaGA(w?!Xc=5|KxP*aun?}vnjJcO~7u;q=V+%(5
z1)Qwz$&R6`jRPJIwwZgZvu1Q~zgu~o*E?<2u#wnXu_;4d@07TH$IjrV%kEb8uss&L
zL*0C%((w#UI0x$RJ2d{|rR2bRK~Unrfw98$n0Iy?x6BZxCAJX(Pl7&m<WH1p{M`68
zRyh~PJD2hq@^{<vN8N4%Ue@(z-?<`nXH38olMf9rIv(PzGm}z2U^LxHb2g{N-aM)+
zd)a2W-P{>N@nk&ZWzw0jtP?xN!=vILl-~ig$hN-JzW-Y4bBf=AUw4jI|7@%gXmH#7
zcDdgq?+!xW>f)^epSSO;9@cNR?7!x=-eFyuN~(NbFOc}7%!$uXeT5+8Af*lWPu<ZU
zpLKCe4Rayg-PV5kJ(@gXMJ9=eosyl+u(@M#9AZ8-oony^aI*$pEOFE&0(EH3arlsp
zaz0y`kSSa7z5)jFgTg!C9%!u*@a${U9-^JS`Aw0GS*W{ekMFrXBy;LC@t)hgF$b%%
z837&TG2c@JMIXf|DX48dknZFnRG=(qOBhR_u;PKhP!8g@_W1Em@!z50b>hE-h8{?3
zJ<w&xo|&2~Po(xIdo@CJ0td{g^Z9bLtCZb+5a`2FpSy_rlFVC;F*W$}mN69edA8v7
z+->$6%I|lt5;hwqvjV?-{E^VCyOc<<j4YJj_+e^|`5v9!cZc`cNdCC=$C)sdm+WM=
z&-W2Lus7RXMeO^>kvBE&(|UJF$&u^R+}CnXN8l>+WLGyoS`<w-z6`H_P}4dL3%EnS
z1h?_f9J#k|a9<^AVJ)SGM|b;CpuG}n*aBl^=RD^oHsG~eTn~R60!B;5)?_;UYOX?;
zC(i0Zih?L2c2rTI8;KWzgmGxV^)ihwuM01;@itcdTjBSqAUS&r$MI09M_&93hrH|o
z$!nx<?^8ZFd%v1V6YLF>hzfJuDFoRURC=I%(B7J_Q)Q#9bilOSdqNYuf+Zu;U81Y2
zs}B(Hp&TO{`)l9cU&P+QPJjfuIe=W1LiZ%81k4le3DP|U8v-s|xS+?}%9e}#{CVR~
zO5yTUo9u3e#%Axe6FAg<k?R5$t*N-&EJxuv9;)%k>yGsVkSki*w|7FW{RmY@JpJHw
zZo%E=oR`$VLjsdsQQz|YIl!P`j6r_iw6-Y`w!bz(a<@@I?hM)8Z!Wm^cTM9{8Pf=?
znQC|&LwVm*S(MwANzC!gPC}zc*%++URFaOvdS|v_croCUNR(TQrtJ9f!|OaFFn*4)
zhjI6(oE+C(GK~}74Xh1Q-sQIebv!R)G_+Sb4{#Ug6f|quD26&eAP{)q7*HDpFP8x#
zNC9Nfc;|l9!*IJTol%FQ;6n~_LL_10y%mXP>Bw|7wrq(jTniVn{uG~?+Q<jw*yp{+
zE0G^R+VyM8Rvn@kdwhF#IO>SQ>{fwX*}yd>%#Ffc3+^&>2rU<ARL6HQqVjtadIFAn
zZ7WpA@jH=x2m0v>;h~2DeTy58AI^Et7Wmx2&u{fB$X8^|M8|lI)ShQ_ocgosy~mz?
zFb}B!o0(`yI&8z+8!YLTVDHj&$~UmLh`Co8Xeq1fp=qF#d6?OmJ^A~Eh`%V+blSZ>
zH~-7Y?qo-plPrBh+x2>(wzH{Dqa6jAmxll`<UMW{0llAN?r)yf>91;$e!Ec71_Idu
z3Hw@B&EzM4Fpc{8)*-DAP8P`szURpoF!S@7y4yP^S)1yGHp&kT30Ma^uVSL#pG*jR
zwc&edeFbG<Y_0L3T5vO*Jg=^mo1=bk6`f<|f-Br-=XE#biQ?I_b{zW(zMfIkJHcn0
z>t!MZkq<C7PH7gC;}^HHfAdmtANLP`7G{>`u}oLKHV!hU1i~@j4HEmGaXj_g!@Z~M
zJS!h|Qef`bSvK33UWuLf5|W6^dgEo|+4N4LfkvBIiSI^AQTSAfm1EB5q5hJb0it?f
zmyrpr?y~Sf)4(i&1<bMM@=K+>%Bihr_+Syp6Bp2m@|3i1863Sg1a-OameOSwH(r?D
zqpz=D9b#iMd_FENPF8m*#yH0h3I|F0dSYW@{K5X&z&r4O05slJLR>sp`D^u0r%fnw
zRU-JdkNT7>aXLjQ%3{#M{~B`DGuVjKkeK(~By(5gN_Ccu_4-En6go|@THd=lB2gVx
z@iX+YEJAK;9XtF~gPRRDifgF}w|1pbsy<V$ur@6xO=nxZet50ubHc#P9>@H-s_W?>
z@JQeC$3qs*d0$q-)3mg2EI>}|IE?q8R2VcG*4Nih!UW3V3k$oG&1Uae-`vN|-Ri5H
zI=+yIRI{6EO{IWM7_>lmK#3U=C0>q-UuyS9(=ZS|kOfi+=YH_uK{PxbX!EmLl6gAb
z_u#1@Qahxt8)?q<bUWFW@K1R1hdXw5c0pMk>lfh)FJfbdVCURpcA+!kUpEYdEezL)
zR@bpMcnp9PBU5lyO7AL2&4Ppoa0@B>-h}Vt;h{SqS06hR1+9ZTj9w&=Bt$bSD~lw|
z$5$Tc<~A2HllE1KZk+zJ%w|h1WC|_U@eoR=e%bJ-Xe2zqab7y3vcO~&qX^4?Jzine
z_3+zLM$*GPwA*?ky)P$t2#MFwT4JsG%>H}?jqjsdYOSwYbx~`5r>r66?@d;13POX(
zKUy>_8w2xZh;Ng&h>*59BQ;ZL!)Ys2<-QfS#+<mHME@2Vt2P$CH&7+DRTo+a28jv6
z?X5v$m5*qktQvuAHaj+TME}&8w6}Ch0;IYE93(>R$+On@(-n3_a$;hj)Sc=LcLP*%
zeN_mBa0aCLk%CU9ULQ3zvGnW8HFWpM>@KCRRlZiz$7&BzyXTsFy20JuIl(4j!;=!3
z9D&o};RAhiRQSRsg4$%&h4!AM(vPuNZ4ACQs~%{YdLiXewLZYbEISp^CY-!s=V`59
zMdvkS46p#<jeev^C_y$nprDOaks_TPp@7SixZO4F%Ux`Sj579DPK^?O>0V+M1t0(M
z{t7RMLYUo3N=iZ}w>ZF6C2+2>r%knj`Ug`U1*A0ZX>OrYv;EO9A2@^m{s3t)XuM*W
z3v#~MS9H11Y$YeMy!n~8bExIZOLuwJoB21V2c-Zc0kT@aj^nl<0+X1d#5)!Ec@hMg
z{?n-~;0G95juPd$Kb<PiBn3FEnz<4OWDB=*Vzgq!&ObomJrLoQtFt|MBBoWrt1E-*
zJe)=i_4N)>QBl@LuCQ5<1=ZTKzj(TzIDi_GJ9n;dX}IR0LbqAojin55DSYl~1L&6k
zSLEsj;}<@5G!Q6)!32;99;gA!x8o$Z9avbK$n$vW3Ybf2a#aqD6b8eCCATye)SDxD
ztpaO*7C(IWko2h}>?E!Ol-<M}X-xE0=IJ&ISHW$0phEm6`Cbi7`+Dej4`c7MdMX9e
z0Pmg|S9uDT6ZQCUn3u0_ae?O$#sm`N6&$<)bM(E#cm-BT7aQ^in4b<kNOMZ1L8Bj3
zJ=yL8&LpmK1aw8Bj*d>~;#DH3C?aJXWXBwv0)<xdnInVw$zIZJl3+0ZCM6|BYbmaz
zyUBlkaC$(789X*Zv-o4CQy>Ivek+3NDGm{T{c=*kwfMvuo>Ny3qo}UVf>SyOabM%N
z4=lz)<sNJ&l6a@TXZrvwrj7XDd4&J>!vC=L=)~SdU@r>@3tQod{s?QW^+<?`c#s9W
zO^h$EWGhif#ecJ7u|GN{<^p-HZ}|hH+SnD0Z&&D6WuF_y8CW46!Mv7C-M8JHW<$oV
zRpPkBxWP^j6n!+1T55)Dira+2B~SxI+0<#j?Nswq7%_zhsP2tEgT`?EbMWy!P-94t
z8C*b1k^+A38siRTTRRwlZarq6*(F=P@MXBFB#x`7sL0y6#7tkcv;~~ZLoM?_QTxE(
zPa2h?aRJ8}R~Zl(xc04K9t{AkJ=6nPf-x>*Bywj;`69-<kYJ#0pw%ZYC$~%kX4E~`
z5?!jq_yDz%LurQqt@5EJDk(WR7z&?~C<n{ARlf&HAS0d=Ua5xL4ONf-D2UGl)rCNP
zz-bbm1YmG=(0Gg#PNe%rrF_F*u>fX6>dML+`9o9;jB51?!Z;CXwzdBJw%M7=6jQiX
zx3;$S{nbRON`Ua~N?DvP(m3a}ou%YNR9xr<CDrqF<KyGAa65m0|2nV*vD7oSbqgZv
zT4L6wwe-a}rz98e5x)893e63!a$Qpst%;=GfSbTZ4<Z6B;GW{poUV;mX0y5(@s1wA
za&EX;Y#)~H<zeP68mRv<{@iOwNw=ra?SQG&0ITG>bYG27$e@~*?$Sp2L^rfE4|+~c
z&JbQVa!=CURdPaYY-}umJj^&Lfhj`lD)y}%Xe8c!TwGNjyEi&A;^~fzHD0J>T@q@b
zwf<wV-ye<FZ#``l)SRgTx45_ByRW3%Q6k6-7=DTb4%F+pD>AXu%(}biIm4PTCA?rX
z#{s1AY_<4$2Bc}y7$%CV77!HNtd1q*#TPnwEc!I$bhuq0<&=oy>^1WcX=z~;V3l3P
zB_ynq$A!S1a7a&&S)PcH5E0~)SgeJR=Kaw<dOA9)y+xebg&~xA4LxtDtZQqQA-ZLV
z-mP(Z{P@V1GP}OvqHs^jyk*sA)GV6EVhP1gp?nsUPUb~!IOfr4cr@KGZ>DPTewF^3
zUO=YFgw4$_9`dsN_`0bV`d}S&48J!lP<4v^`DEka96FIiB*6UgW@xy8`H=cV2j%T=
z6cXt_$R_gyHT27dIe)Zu`ON2>3$o*9??<BSSP6m{vb`p46P6KQ!p<$Y_8c;#R9Lu!
zq&gR${S8UUbMy3-`%J+Au+c~xw*)mtLg!CsR2Jhss%4>UY-}ES-UDC1e$9p0J30LV
zs7xx(BE@bB1WH+zf>TtgvV888bW6cEzfKpcSw4Q?lY3OBJij|wH*W^%A|GP3_ej?>
z0~tifl_H6RCC>e=Lab5N66850TYJf6(k|F=Wqa9|?%=-7khGM;8*Ecgt}mrnVbYYd
zZ7=X6tbVYvJim+Ef^~VI!j*8c0Io93gU=m!xaIchdC?V&mqZX^xoiWEdVn`*Y#i%S
z3S1a|H8gVH7DenW81sRqh0JY$b=nxt6~!%7aT5ACDk{9FJNQabU*#r9<Xjd2a{s1x
zbaVv7zIb7wdf@_D%}>9!3Tm8s9o^B5EU~+<$yL{P=B?_R@!6`+3YN3B@KEc#nVP#v
z*?!jWF-%{Ovdhwypfv&Hj{pbPRH(Op-i&Sl8Z=U8PH?`d1DqNcigsLeq1}f}t$r4k
zPDl=2U(n#3A?#Kc&gV#Q!-jlitZ`9wDJTG9ji6QoZWj=U@otD@#-NJA14{c?NnVM1
zn8)ILoD$*t_wVbedQ<<mIE@hWxu^I}-Q(!2{z)CAJAE-o$_H#E*eLtqia^YVI)T&W
z-U3M9$TPUP6knOmfRvkk0oCi_u<@WCntk4kW%()%q3=C7W&DeGXu6e91Rf?rG^%1?
zw&d&WMUo=mj+Rc8b@*8Qh{hcFLStde+;GW<0a_<oqULE&dDKaXH2l7m6#Z_IjQAzG
zIDk%No8K!KFm3V(VwuA|?E)&W0VkN=F<mKz%jzeRTcC_I^v~h)+L9s~g>Bn#WRro<
z^wv-OwiH*eRIfH&IIzrJqEf~nm2f148t3+gdbc=g+8<pV2LWl;)vOo)0iG>~OQ(0&
zb%2vZz(2tr0Q=u}xmc!+CzW&yF{a1HJRa=`?43XWA!zELmSpuUSC}qbo<Dj~)SZEH
z7>Mn>f(Gf|fNQO=_kD?_o<my&2Zcg@`x1R-u2o@FGLfgHs}wl+c_cg<EKdGC;_GNg
zAIKM22u!<r6@ZOXUp9YN$)^@TbToecGk|gP23p2>R;j>h<8Zk6sBkG)*U-?-JJ$K~
zii&G7AavoqL1P#2kaCd5QeZTEpQM2gGtF`*P#x2QZ^i+NV<&j8Y=G_BIw&)wiCEAo
z*#6!P<|+|i<k%(!S5;I~qhbDz6&Z+YQVtQMiCn!6C8Uk}Kr`b)v${6|pkXSwNTPp8
zLjmzWLV68C!op$Ra1+pCh#^qB=7NC%B3T63;@eu~w%*>}r*Qh+X0ijo(gd`wByVFq
zpB^}W4G5R+*Ig<oZwOb7E>&n#)5C$)3lG(kM|j|Y(-i`L1K&2~iq6_DzcUSE%dh@E
z6yZnKF2*@JOiVDX|Gfa3;eTFxxY!iv+q`G^=%(pEkLH$eiv?Zhjv5Tnk|c=;3RVUI
z7a1(-{|%^bG4eO+t7LdxU}9Tot-B#tb)nr7L2htP_!odNaWxOwtG$RNJ?itl{-UCy
zEnsr_BUcm5X7weMWN~ru!80l<)Yry2t6yygEJBDSv9tbY1koQYg0Bvz+s0L%!G$oa
zK<FF>gppY#jCY&Ox<+ni560rm4447&B90R|55~V42=TV<$+aA?0ROp&8i1L>!PpP~
z)aOR<c4LGdB|?J2;Ar5CWq`-u)G9xQ8}Ly)w)H36+xM+Q(K;N`!dO^?DD!wZqCYhk
z5^m}Wqk^nybzvl6R6?%7EkYN+<*5ktFpiUAN_m^md58-jDTL0FfM%GmfPhNjTD8@}
z173^s0DVTA%`RW?7*s3+XM8@yjb!sNpiLqKAYB0uG_e%sQ$m&qx}DP%Yz%h<E07;}
z<Cvz<ykp$pSui!#T=1Ik%9(?RwXb9FP&ud>vOBiZ%=1)+st@2&Ivl4Oe^2F~U@C{4
zKoNpx72@V};eCC5Q4dHeq{`)XLE#MQi0H`tO&54i+iBFK%5}*Maa?n=4wO5pAtN4{
z5l>;zE<uwf+w)vn49s)V(-$vZqzp~_ro9|r7TFwTuMX+V1pAjHC$2QO_7MFw`kdt9
z<Bhf#@UO-Lz}X@Kn%5V*%@C>MHDJp)VaNj|r=+w#3Q2^lXIoh{5m7^1@enBnpJm<F
z{45}Jws%utqph($u$l4I3#+b>o`89DAZf0KK~F7rPE65$kyi6P2iK6{{3%ePk&@{l
z)(mOVgirnHA=+dHLS4Qq$2;FC>|OcXs1-R{W39VKc-f|6nZyz6P0tJ(>7XwYQL-!H
zE2-e{)WH&L!>%K5A_DZXI)Z%QzG!?DY>(MCO*a+OlM6<LiK{NWDaJ|znB{qp=eb8m
zPY)xHQvq!)2F=YYvC;q?fd?BlBB2D}J>{joc@vo5kSLchE)i_8{0Jl45~(Vfa$aB1
zbgKxur3ql-^9iY<04=OG-5kAH89**1?2dMrC$+8=LZr*Oq9=JWquTh|1XVRytXg-|
z@2&^QYA+Q6YH7s&;d*m1<`O+5)MtToWaCXnyuL)x%w-W?Q&ScK1Rz9N-9jbYthl)N
z7WtPu;K)jVKNd@UcGt_xE3;!75|wo?@Ox{j3Q2&Ue`66saw#$M)b;k1oB#uz3WJ_I
zbH>XDJ^*g_7n1}}>v?Tpl{7vIQAs>)PA+7m3@5IZ{GP}$Vj>H`Q5(9kR0{EQMh#Sl
z%#lTFJS6QW7W+k10~fxN7O({a{&T&H<&ZWte;PPkKnnNxN))$cJfyC!uKKoX)%!j-
zt1T=m&mcN@b>`>v^fX%Y`gIvFJ*a6F%K%+<68%L2J`-EN-bw{PAoj@88?OtY=_<=l
z&1TU66{RIzY13V*-KORAi#j~R+p)u0;ChV*g%W4c3&7n`;V*bkFd2RsRfS~oY%N3R
zfX%Zh7?kt*#ahzML;g&F70J<$L)$V#Bfhmyw{F#6be8$mK-H2QGW$Np{M;7GUJ1&Y
zUeetI3A%#DZ?)kldTgdz<pCbMNEr<|H(g<ygQIu}pXT!NFi+@G4%nqo5l-7!1y5Iq
zH?YFE50uJE;6VBW&p~tmiObN?uo^xduki;ujJ8qm&(z%HT(e1T#mwi^Ri6VU*gdRL
zPYh?!X{(*607BWlHQ5k=1CgX^bp|t6;}H-Jc--8w)k#-=Fh-aWNogBV1WZ~mz5Woh
zER7^27eb$9M^KuEQp5El3_DEc4w`Pe2eFg2_@3ecqRF`8hzGp6xmhsj#imlj>06B*
zlSfF3Nvr|NsR3f^w}4x#1O?HdK{w$Jk`rT^WZ+9S`NG4cGgelbdKgwM!lwx?P@@98
z^f_PU@PzSe8Sz8>A|m0-Ps!FLE?o@L8!&Rfumz4V2AoQ82x@?qYM{j*eLVzY%frQ`
zrh@YWywlU5M;F&mmUNp<=ImiSSK5+cUjUF^0*1I+2k?NhNwR~w@PdK@z!l`c?Ep`n
z2hx)iJLGmZj*N^bBpBrGuyJk}+eCv>z|IW;&s$BiJMVVU<SeuT?-4+J<@b9{m<DhB
zczyS_FRtAIY$9ORawRh?)F@*r=E!c*7C!1nz<_m$Y5@NWV+*o)e2Vw>10{FK>C(#T
zP$~=xM-5adFTeN>I64J!B`?6qp#-bK7`7I8X23mAlb0{{1N1-$1@I)#AUt}2+b8+v
z9%R(bls}=9gJ3HkC#^!T_4g;=F%*3f9o@pnejSt%KMN0)$GO4t#DnVIUx|`Qdh=#&
z^eMNzs_N!AB+p5nU!xj0vq`onfK)X;m0$|vy&Hf>eG88GQessK77x<O=;hzWe!F5G
zr~rr(G6-bg(nLc&(n3<;i;IisDWx6QRypPS`+R8A<b)*-a4a0?QjGZUHtqh)kmdIU
zb+P}w02=0hPJ6IEhp}+F+u42WoAwQp#`(l;8o&`caImW89t8}Dx&a!*-PJQTO2m)%
zxFB8QLQmrm3U6B!fGHy0A1mnt;tf!023(LmkachPTj0%E3wjO#!6^t{t-mx5#(sue
z+4kXKHcw3fWyB+_x>gTCK$pl6`Z-)-d4niFAD^?Ho?fXd64hxIu8a$Urp1px27n?D
zaQ+g)1C#x(c`yqwW!%8uuPqu?<n1_E7*)VH9<`-_MBB@S5LCCBwbbDDSkvo<a|XI1
zDH1{2NWVH@k!<xcTfm+zZMdoi&Js9IKrzCf%&>S_cYN{x%)$MeyxSVf_LLB_#p(Y1
z;eoOaS!o0F^bwUoRs0jsf&vN~qk(Gz%X$%9HKz+SA8J5E<MVWzc=^~HXAyPyxDkL^
z62gh&Z+#l*|H!iG<nb^jkg0OQAP2$F@896o4oZB3YDu1lIyg9Jc`K^QWVite#}T-V
zt-@&+829Gy;s~6g!~<F(^jDw&@H8c+j^wF2bO=Fn6@!%@o6Q!*sh0T@`>Anu-rh^!
zO1iaOkg~Hh=ijtq1%pS+K9%t$$$WEgu@v+;)ddOl?)y0l<gOt#kn}zo!0ANsAkCbv
z3J7ksq<fZO7X%bM0BlBsx0L`bj)%OILZ9^9nvB*=r9AlcaUhh4!j!&@dQ>zT#g>p)
z1rAg9oHnXT<q4xoh6i|s=QY-RSYJ09qC6V{+uW?dR|=~66n5^;J_bxH`22Hi%SzpG
zvu!&2xw_Zz+igy)Ps*4+stfka1p#(#N`-=?&g`H%L;`&{oZ1F<x)ougssaG_QC+nI
z%!GH4OjZmE_TPnM)LMK9Z^k9`vWU|z>YFN)?>v#GqD6F;^1wp-;ChishRw}XYkrM^
zrr;)RCDoq?RthFE3QnnowklSyc?nHD?#ftv0ciu!!YKOssM@7g=9YL~nU%BJk_f#M
z!;wBI5dp%QzZoxgjsH61HD#!^u7_N`Z|EK%?t&D<*>0nuPB=&l0q7nN<U?o-mCn8r
z=Ybs3ZEuogtvZ(Z>_c0Z85)Y|$O*>R<+Zet7}DeUB(3(M<0yQm5j0_&?J}E1$x-mC
zoPo`0YWmEvRxE^|c!T*=ftrx%#nK)#5e-xz1=lIS$EQ>c$P4(m2{@F>kG`=w%kF~o
zJeg4$3aEc;Jvhh^HB<%^Bmod85hjLH(O*pgA|>7MABZihw##Qtr4eeKedTwY>N0`S
zxWuYZtt#d@!zh?SIOVPE=J(~?zcfe<#CTa7@`tSOuhuYoFc>uYfn+%tynH^|&V)hl
zt><KWR!?>bMA7q2R&zJ8R8L)8+jf-{^ywWuVGBXkb0mj%Q!i4I8h}-?^m*Q<L?9dN
z;GAH<%UD9y0dMK42M0+ht>Qo4)>>bC1p`|i&!vuwXiIVmcWxtH+7+xy?7yclnz#bW
zwGW!>D$g(5yeY@iUGBVX2$*8D!Cn6fvWP>kU%zh5&BIe&5bu2rF6%yoq1j4&W(bRw
z@r5Pb!89^)fTUCy){=bQTE87QpRTcA2DUAxzNb9D#Q9T4x6Mp)!k}O!Fk{wY>kEUi
zJi7-$+(48W(pUis?D|}9fi2~gJ3~}_lbp<dD#HT!B-Q;cCGFF`F>Zt*;Gndsih2XN
zIU33>sOU9(S~G8mf$o5dX#_U`$jsdm<$))Ft#g$pa1R0VN>Zt7+P2lLceDZW9V}*V
zniOtHzi>X*jDCip1cH?AAy$$T6%Y~Kb8p9Upaid9Ki+EtHv$v*!4_0kLkTCvA6?%@
z0+PvOFA?|}JTAyQ>5Rd%N=izv$0dL$KpZUZKv{0Lc&rmHdYHj2X~v~24VI>-r{f`i
zBc7H8i{=4stOh0cd@k8G?HR7%=i9|oG~xIkrmFp~+Q}HN|AyGhB~9M5^8CM!Rf>GJ
z&(^?}f8`*=o%wH;45gV#P%wr56LR3c1x1dGZXdQD;qwqI4Pa158#L~yd_cV6jq3#H
zoCaowJ#_0hE|x*`G|1EXAOSBx2vDpU<rO4HeetQj>iqX-fB_RN>3$11@O+TTeYz-A
ziP6YdrK`Z?{GHJm@Ibo{oqg;2o7BlM(#rlV?M2m&{YB~Y)pcy2la|0_U3j5-hrSu;
z{ePox(iWmLHb*1`RRg_l1C?#cM~)|VvuK(m&5+qlt@x$rGkIGxA(LI|mYymL(GBW<
zItCkYA89!#(1fW@gpE-s;V_#EB@BU0UW@OSef3%%4}ngjGz-rFT1P(CeV=M6_}MD^
z7NzlFi3&Yt;UtAKXfSzbE2lcx>v*h^qM{;APGeavgm>u;w)WscYx<6EI6(MM>4qyS
z8fyT}@_<9iHm@>j1ZB;MlVo_+nrsOg0l@u~0^w45#wm#El;C%u+&{l)kj|2Xj{d?o
zJ#LUsF0Y<#;n^6l<!?D(71~-hQ`s<HMJ3HLDns}7>e@b)0z?mKD4%)LrlY^g&>Tf>
zV`k)7dFUHyMY#jSFlC$}@5(#ugWq-eSD{t^ML`e~l<0m;tU9cQN1E)6<r9#ug4L|P
zn2=ijX#Y?Rx##&vL9~PZtR-q=F$sBnp?!#7ZA%oU>yy-Dm~yaHwkmbc!upijg|=+o
z=4w&Z#?!uKoYF!7H3;tU*OruuMbSWnjAmFAdkntRwjriXENH%97R0HTK`#g@`~La>
z;S(0#YB8JTYH?Uz0*9Cl6S{ItVu6!9q;~F{_hN5vFQrp$4<MyRoQqZ5#c(|GyuQX9
zzc_RFTfS&{K0K?)tBM&B;}CSsmtSJlwSL9ipu8!b-ec&c?1CIJo%3O8RS&mpNssp?
z0VJ*+i>m70SS$aA*3bM;XmeAQKu*(8>e|NV7wKoO+6c>m<HuS~t4{?EXiMt9HLo1A
zoALW+#w35a$Ciod&?V^AOSk@g_T)LR0^m5UjmvNv^g=W2Y=0df9*3ZCa8`3#UN;bg
zisC?iNO`L_&D5@ul5Up=+tS$Zfjxm!XF=$!xmJ)7d><I1tBjxv2o4Y?|HOvOUG)QK
zBjNvv5s8bSKp4bFdiTbAh(6%gtwHcsNyoIRsVj{Lp#ndlE6MSyM^;DqSsYNYxGN`q
zt@?DF{dZ%Lrr`|J6yXz*cS3CsVrwO9R(5Mtc552&GwKKs^C6?>?FkPMQTBCW1PfZL
z+@u0VM?zwq6n)*62EsGQLTFkMf;OiqgPtq&d~L8b01$+=wN{_CD{Kn{M@;^XN@Bd^
z{}=y;-6Vm7@0H6hB;?LG+T$8D4B1_A0SES}1r_y$c9gmg2rG64Gt?2itYuqh+S~C&
z_@*8F3rLXi4an4}9^$ZX>b#nQy!?tSXv4B@<@j+vC_j`OZ$QvcR191O6YRaATB22F
z%50NJPKml26i@(5hH5-F^hjZX!omatSDJ#vNh(9wAn8x21{)a;z2nuRgw6R4IhB}c
zz{ls~dRH|7g{YzQlY4{BaUf|h&v7hhcf_|Iz%oYo{QUm?hL5**p`~k828a=XwrVeZ
zgeWw(wuWVNxu`APauo*ba5PjsZk!0+vWMII#1^%4>-9_z`T#(?WYFm7iuBYfRL9xI
zS-iA^Ay@Ue0Rs`~npZ`>m*p*7^|{=!EiK&Km4=He=MIEqg=heJz+sCXLJAQs={5{2
z!kC<2<q970B{f)4qCHUNdbdd5(+7xK_|TFSuGUhya_f+;05CC<!Rvl3EG+!uv)<3-
z=mvx^rq*kKp_P@)*dZSJpFVvm%f-Wk01>h@2*}TP1)7%fG0hEFFB%lIlMo^`6)y)|
zYhqE~?;2#pCz;JMBqllroCgMyduQw8>Dl_Q&#G&~4>br*@>|8-8!I3hRU1wpvujJ|
zJ#P(EpinySPr|cHFvamp)_UY#uP<^{A|_u<7khyNk+wyLi8E?MWYlOino*|71L}B1
zU@gP4I{Faf%fNF-DBTo-J&gSEoLZs@bG!|o<m+a7$G)rbhb;qW0MEZi3^zA7_m}|+
ztl>b;A?Ys_0vz!L(gq}eSug||^h-U^_%Py64IoJu_5ZF9L$higQP2QK@7daF9-;Se
z0@W%9P#73MeG}@V1=s`T2ZI*uT0u<!&p<E!=`^_bNJ4c)A4ELP^7!cuBoSiSd4%WI
z<CPr^z(DE&14&f?Hf9PM8UPrmcSk67MnJkWuF9JC1Bof$OXnw(n*VS5L<CJ+c;!Vo
zc^)@Al^}-n`op7YwcAs??=3?bQwy?PvU35h1y7<uuJF;LYZ}$7NY8cACq<KPgJX_y
zm>L5^Ek0fNVJYLm;19GFE@3V`a@g+S!KF`hQI?G#hVYN^OYg_rL0AsLO`ad>J#jhh
z&`M5uEWi43+?2*z4Nq9WahFzidJ%+vkKx_`X(Dv<WznSF{G!<`0w^C+-fLs|B6%ek
z(&%$p3;<%MJF-FsJF>Gqy-HK&)xs`p)c*ubl3|=`cKi|s^dxI+F#=PQUV|g#;rd7_
zOw!V#f$tl%BwZ(uXarOe!Fq@(|JHP5^2NJqu%swRK!Gs1c)1I(>m)7jHgFgup)bd_
zR#XWWQu%ruF|i<VHO){fhy+Y221rl!oNdEDvMdaThNYG9A)9V1(NTb%lVk8r1n<8!
z!2j3UnLadiEde|htEi2*^i?qkJ_yh}YeA7kmQd7+0ST2D5R_=kCJ+|O7C-{UHrl$N
z0fi6(f=bwtT|(GOg$9ryF@!Z?2?PiM1d;$T@J{g4d!Kv%fP3fMJ7;F@%<s(5!dw-*
zA-f!#cG<W(xKjWMmOmZ@D!mz$E6nT7=$&g|2z0k&G9JCi0E*V=c{iPE7R1nHMZ8SO
zg27-^$(!S&k2|Am%?>?q2GA7_)K6!?{!{hLx{jDwgaeDR-VOdGk!kiTIW+s989;Np
zNSt~d_Bnw?uPN_pMM28q7<?mqFsLSO?6HhvPB>}NuaJhXp#itH1k#XGQ}!Uuo(3cn
z*hCHvjZ^%jiCYK<F(<!EI=mw?X={C(r7D|3l)p-H0zq<!zI((nV4fObp!6``Z{bX+
z1f(3;t3fD!4}g;77K6^U>`u3^|6|B=c@V=B0%aN;sCWo+O$5Hr8Ps|kDAkmzN;RUu
zVm7dL&Vb^LI*gV78aEyuFaygtMh~;iMAvbmyHqRQ6<CZ~j6L<yW~bncVC3DH_Z&}H
zsTlfhxAVlpd2}T-;d3y0dHFJ8f)CHH!o@HpRlRNOW7-P)rt)#?PC+Xfr1q`TTbg+=
zu>U&3KH6SF=d&{|0LvbRAs2ypSzN!!&qIGQj83x6QL!RC55Z&bUa~BFm;7zAGV*d8
znom<j+P1Vv`hbx`v9uNLZ$^z@KW{Y+vv$aMuZ+<(oCyPF{J?-D^3+;c{KmRo_MG_P
zu$g>iMbmRHg#MR0ZmR5maO`263dgP!M`_hJ05-buh@pB?unH>!vR`vvOb2u}M^8f7
z88`VN&|p;xF9cPdUw|FyZU^qD8<qoX>JQ}2I1f0a;drtLVxQ5jB%B7g&y_%@=kEx8
z_Wo?)s_=2ZIl=Y486!mN36<~w`O0z)RF1;0)C3L6ns!8T%`b=3LmM-@^OtLP88Kf0
zkUYhOL65bD#MlGftp>BmjleMj5INyh%pV{r`BBR<fE!u8OaX+8OqZr>{htT-@1GPk
z{PIy%nX;7W{krQar)|%4Esj5~0>1OA);-AYJ#2^XEm^VB*S75%3!nc046KJZ<gHSX
zn~cv1d36IlPE=}ddbi*7Mt%dONf=ed(O`?E#cFD5@%8?k+`yU;0g<f=ziw~W;9m}`
z*JXWzjou*L2$cslHQkY*2_Jw6ELo1NZEYKb;{nJX^-=(xYZT$?V`74{OxAj|pXPFE
zbyQ9FD?P+mP;?ip%WC9vAlUH*x&Bo!X&l!JyvNt9B!k*Q@L`s9#^_hTUdLMuD?Wg|
z{v5ce(vm71$V{uo>)ipkuJu^M+O~U=OLM%6;V8&u>(6i&yS8oLE;tUPx#UpG0RI_P
z+<=#yX{~-{BS2kgn2eAzz}XkVbutwnvXhifXtXwP4#O(tt?+8w;PGj#?bv^XLN=WJ
z9e?TR{VdV-tA5?PueZ1ksh6MK+OpkeNB$oDv!Saw21mC2p7@8Iow`oSR$cg>pc@H2
zkg;>RM;<@>W~ZH9_1&|N?_T%MK5Uy|)hP*|Y@m$V;I0rGg_C@F*UxMkB~`vSKYhyl
zqwk4<=GU#Oo%JhY_wHbu-N;veet*&4)B2fWIMwLd`ik**S|`$K1G=}>v`cgoAf{pD
zt9`*WMnf^;V$Q1P39r_pwyqm#pzTz%=BS+IEuZ$g?dCPa9>4Sv|GsKa;+6b@8xSX&
ztzc`58?zMsBULBbMG*z@k&rZ`nfq<TD==BbQ~?Nt(PGy?6xoVggjyt!mjL=z-vP|A
zwq_L@*gl61Cp)vkxcD9*tih;>TWL*~swL4)KRc)Ivy4l!kx3n?MvX^VTR^b8$b%c{
zM^|$LhKB;Go_2zEdm`XCY)so9&~uy*@?K}PA=b5k|Lrv=3ty(<7(aC)flxgn?)*Oz
z-5z95pj_SBc5tkp=9`(bj-$SHTm=1R$=0dDF8BfcQzu!o{;<QUM>VNeJM@$s)<DmP
z=5}_%>3+k0hr^kVgpSzF;nWGx-kXT*$>iy68FfzLy9R=<P;(CQRbsmLP4X(r7w)g`
z{z%vY&<L&-(Q?}+e{Ec(!2H>{Klv)wGd{}0{^V+~Lv#rjg|s-UR3?A4`c!Ycu2${H
zsKAO0PrYK`C{BLSi7h>Gt$Ox1%#B#vbG<jqQjp}4D~M(hl*^;)M>nkT?eENbrNR#w
zMi&Lt>FS>k(sxgrn+&>Qx?JW?PSOXvZa-qnQkIMFzIlt;mM<0*DWclOLmY1llL^YV
zc@3Fa!uxQ!f%_BTQ0Cea`POk(F#^U=8nTX|kW}vulH!}fxv-zk&?KC=2Q>$ODjI~J
zGGyr?=6R)LE$ZSYS`qd;Wm;!4^0a_@XKMV{FZg-0J@7$pgZ7sTb7{hC5^(^9)?6>^
zEeqYZHYF-5VBaHy843}zT7p8Z&DZ*`w3qR0gJ@BLBD_~^{X)y->QX7!XrwqPf=((M
zqD=1Dd`Mq{R>~ZsvLZkrI5ylJLM6%Oi@9LEQyCYfRq<qd%;`6|2~l?K_j@DBb%l{s
zdS@jqRk&0oyK{dn!NzMS>b~rD_-Rg{i?7zTNBb&eU3>TyksH@uFsn^md^_fng&NZh
z+pU&s+1}fjv@)VCtD1XR^rEwxm~D1Wr4ZNkx_4;A_t9rZ3uY@xGP!F6(d^kR9HV*k
zSwc-k{vb`0IXQnEOQU1{e0MQ?pc<3d&Fb0VG>Ga7%!_ivimI1&6tm&i#6EHDh9)CH
z1J)s>9<(=5`DVh`3=(qQynB%DyvoA%Cr>v9OL9CEG}zn{_lw;Gk&`j$p({BaE0qQ3
z@z}pt#eQ=mFABvF_sO)C@6T{*)n=Iau5^D{Xx#qS{00N7ksy!6(e#3@31|e6`?={1
zelH{e+D|W7!XT&=DI?d?$YJpzav~Nh+IWdCG5gyI>Lcx5Vnd|^D5ATk`RC2bq9V@_
z{tu-Um1i5Dvpf;vc^O9I`FzOKxNJZgynkq(`&!TEob-sBn@Eoy3QoEh2LaHrDL3bd
zuybaOnF6WeRiKDC&#VFZE&9yIrmgZAMmC-|AdScT+4h86R$ysaaU&^zrrsw}Aziy7
zVfg<}!eDTzT{n9kDFwVAdZQm`JC;{x<7|#-OIOdmGy1z!yj41wTeKHEiwXb_$gBLm
zqr(dywres^HvfpFVO-3{57{>^ynfy=Iro%%oNnpsW<USUz{L%N*cXxY8|squ&-xj;
znq{<?$4HVwzHi^W^Cef_GVTk^ZU_Wsx_QTytCE<smpgpnr<n94!-AzjgV%1HqJI0r
zB@?cV#~Ce=b7&)u4PW(&Q2w@eaQAb>mvKzXM$@<Pj=j7$apiP8HiBQCt^AWz&Zu$z
zp}{MHXuwMUw_+<K;Q<L8`sw=;pDC=IS)00`l}D^AP*i0SEgenpPlAp6*gryjXcN$C
zRR1G<!L52rU@fyTge;tN;%Iu}f}C5TGlvl0Qf885ElAEU{=5H3D(o`f-LIok%!NY=
zLVFP>GQFkYVSRw~fHcMCa@<DymLQQqbV)C<5E)TY+8*5bUU@s_D66zkQFI~f@<17U
z_@+F}6&v|(t8xg#t<zVgx}-hXx3wmDsGH7QBGx}zr~dV}wB6EcIOoSA30$CM+%+5+
zfjs#Pye{y$-v&GG`0#YMd*hSxiyl@iO&gzk9O&oq8Qyg>3KQ}yRhSL8bqH&!GalZv
z5{2StMVx5|;BJO+KdPi-g&P0Xso%TE<Y@<)S?71b1oJe-0_h{+v(yRl5@}daJ6_Z^
zJ7q&2!aXTwt!;^M>D9wgf+0iE5Bv;H9r2;u+jZh<Q*02KPR>a7w!@ko_1P9GvRMft
zUE^$?wIV<zkAn9Q7Stu^(gAC#)UQ9&MO-0&eS!rGyrz+UocT4Y9;$qwbW@H0;#Z2F
zMsybX8KW(sfdnNamlHqCkQCOblhBceH*UlR_r_hLe#XB?o*giL8cW98{I#T7KZG-K
z6k*5jK=~$h2aCebG`)#ym!GFJE95Co&B3TeRtn{r6?eewShKMn%bt8Sy?nW)1C{CQ
z-Z1h<ihI={6mOHhibChDDIFa~YAt<8^H>xbO)(wvPDwCFnD{nkobZamwwLd$$;A`Q
zqwdOL4OUU)cvnfO<Im@@)o~;ZLh?TKtgQ0v!I>2II!71ZPe2cIY$_%6L-Vxu-{QW!
zA5TIccyew4M+1`J#GQp7aOI_<Mc)DGRZz0n%GT#W-*40F^_Aa~)sly3<;<3Q2x>8?
zC|!UB0;0Jn<YxOo`EB4DZzIIhz)W3$nSkO_Z`4_`vtccgg+cWiL>sW)qR<Zg-QtGn
iLt3gA^UqxiG17Q7acI*cid(DduBh+PXG>0BPy8=DcOd)#

diff --git a/reference/age_groups.html b/reference/age_groups.html
index c6ad1a9e..18b8a798 100644
--- a/reference/age_groups.html
+++ b/reference/age_groups.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/antibiogram-2.png b/reference/antibiogram-2.png
index c3aebf2cabab9578ed370990e0eba806aeddf95c..6270e995a1c346fb59daf491709efd2ede9921d8 100644
GIT binary patch
delta 22249
zcmcG$by!qu*f)xpTLmmcML-D&C6p2nFt)&;bV-9qcjvIMKoLa;5D7u0TRI0&RHU1s
z2c%;_Vn7(;+zWNT=RMcCzW=^`?d=wwnYGsQ-0_S1nZbPO`F!e+XD%bmEE=v`$U4>>
zS99s*u4^K%LN)eL_*l8FtE4{3yL#Zxu|tQF?>HE@?DtK1q<Z+?QRTePO4rg^`RLVO
z*YZ5L9(wb*%7sTaU$eh?blYrfMfUrfmy&{24UY+n^MgaKv&G}Svwg+kLvKTz-AO$O
zUgRkZPVudHg6nkWXt&$&x95o0*2W5l>F(|W$1gM&JCBdddxXAv^<KZ!EycFCU~MEs
zDNs02w6{G)jsE1xl!RO1Yio;M__d(`7IsW;fo)sGCOJ#5+Iy;<ySU%3SdWkCvcpwL
z@8zY8imgq`vuJVS+EDIP^%R`c`p+BsMGn`PgR4bvUU&N_W!HDP-+K;^$SWvx1f3Lg
zSzEFsN>yyGS$CvstEqNgsq3ceIG@5M`(kAOs5f~kp}*AqJTI>TbFgegM1;8WSWst%
zZj$uIq!P#MR(*tE`RL5#{s#%ki(I?M_4d@}S+?CP?9KO>ze~(_od0o?)RkQ&+7Vbc
z+WPL=!%R8J$7ct3Q=$JL`#vyBdQD^@8)@<BS0`Aueg){{TX7_{rA&3CP2b<k+`L6W
zwv?)aS@`o}Wm&N5I2Tw@>YZ&S)h{gTUi0GO&110z-+NBe2GE|q{H`2J;Sm?t@i*pT
zXaBb$Qn)QqA<BoOnV}PA-kTKTRa;nQ+bcrDBBgin;>Ak`Z@hnxytnF1k0`L|{;*8y
zWzeo3E#Fwy?MJpY$~T=NFFSs)U)@+C64aC=6Q;8&3`C+7&YnG+s+AR^nW>i&!0aWb
z+9`D8RyZH83-apKtDXv^Vz!)OC-zqHr2qS$KOM-k{kqO$^{+yOBR#8MFzJ-KWqf<V
zlqMg>v%1_}=IM-GKx#P4Hx~|kd1kWyYrcGx!NB9%Tsb8(Qp7eD-ha~nY-xYybY`jI
zTM75h9Md}aEBMb(k8=9db+gqS$gylYNA$^C-QaF~*tuUKSk<A?^bB@`OgMGL<KtY9
z!{yUf9jRe%vwbPB3i7q5`ZwB?r1i5S7j9G@*k1fY_XH91#`eay5*-=3g?d?>=gwKx
z;5gP6W4F>7?TW6w6?biYe<NUl6bCVD)$-vnyXD%_<Z6L-nMZbfdVsm>RC~(z68P{$
z9*xwI(oCn(+HwasLZ*IkXF_746@)h~egN;CrVu5vx@=t7ORhbibxd1U5%x|aLnnVh
zKRgnNOeIefZq=T8uh;Cd&)?XhGhMs9rSJd)-vyUg*gdtcf%J>|;m*4zc?<hKNX!<o
z5#8VoTI%Yd?3PV2l8<Nkr5X4Q+5_p&vztE7>XtsXFFtyasF|$%zPX@#vE}$u64&Fm
zvfLiymz4L=oKhdWarnlK8(2bQyxvgx$$cKkj_sAm^n1;#YXt!#kHNI~(=aYIA)9I|
z1K#$TDsLD??bPvJ<UB}TAIh6crh)P4EicTQVjA-K1O?j|))ix}XuFl-zen=XMe~O<
zaT!WASv0nMySWkQRpn1Z&&+IakGFgCXMpsvBEE577T;e(*C~$TZ_Aqn&YpdbG+XkP
zxJ;@JmPCJ=gXpiO?uF3#_MGunZDi+%cqiuGHy2G7nC7RlqUri>$;<Ee*b<|6V@?=+
zTX*&3We218)4ByVle(KzX;}~S72ogk`13sPU@s;MdhObVgQYVy(log_IBxExJ>C4|
zFq@AplqF^eD88nGex$@z?cTk3_Q~g>1K;y!E4DVWd{;*qFtsZ~nyWR;jyf-Aj5<kf
z<6av}lWpar#Pu=J$IHei{O1VW&xZXO?YJED8#m0F4(q*{@zcSzwzlrK(JJ>@r6!mL
zpAL(MK&LOMn4!uS+A&fS!ilY;IVHq3zx-7t-%5kHFxy{x0I}`OHj(wj59lGxK0iO*
zolE-&C1g%-kNk3U?e6Sun^fJxO!mp2Lsi$ZlA3jH_e*T=SEX>Hz`>3*Ev3crrWMIE
z4J0>;ufB9rbF(t>N(Qn;Av*7V+9bIW9iP5e<)*AGgEui@i0pN%y_}uG-S~a@NA1bR
z<B3J&-6n{-Z9(*$<;Ud^XQ2g%<Urw$>xy5o(g~F@)wtQxGaUa6JaeXfu<FV654FMe
zrTs3kj_<39rW32PoM?WJ%SqhPm2DD$rh{pdIa;vy6v|-;h6vt%wVDOFke5N2?hqyV
z9DTVlcKR9xstH54)Og>g!-o&=NI824acX?L-tSJ_ZOQ`01@FD`I+R>l(JFP2?+~>s
zpR<4Z&D}*%InKLbWrLY{UGUYzEuS9l<-p`y6ZqUJK3)Bj$;vYK%*@tatEs6i+N#0g
z_Ir-M#l?@uA_ll6sI9kfE^P{;^uLUfucjK{OYA)%%O4j=di*p(?pLd-iXo(m<bcA2
zq$KN(R1IAGIfckw_jXwbj9w{VF!ag(5*Pn$`jss6JTKkp%gU3Jlh?YHRM5MVx-h%o
znc@uH;C4)L`~m0HV_f04<m7(xjz>#<K4?k_q1j$B2b!7~vuil0>l#L-6&oabTznzX
zSNG}Dr-8vpaQM>njjjg`lP;-P$}%o~v@V?Ca%>tr=M6f^V;?tUWMop+k`!_AO;VKG
zj3PE%A4x@y!#>V?=@>;W7zyvXb?43-C`xRY9@vHBe0nEBH(X}ATHI&RHrs1gsvy0!
z?yS75@#gB=I=F+?*IJo+5p&B1Sz5?youNFUPORgvNZ+8WjF&<>3lhdlk^|`XFz(>r
zzV)kzV4)S8q_@gM?D~?weEApFh$3U|g*QlukDq{dwo9(`#f2OCb{F<zSHyOyJffmH
zLxuVGntH#MQ7oyqP;0a{i~|GhT*JvJ2b$C@eq~^g`8KUs)r5#`k3|iF<0x?$dJvy3
z_GpFFo78Jxp%3-u;Dm3I;@c@*Xmz<}O)(h|<+p0Rq=T6yQ+Mp#W3fEbjmsJ1WrqB}
zYQ69E%sT^|Owft<=wA`bvE{{1c!MllNJzftq8ZJ}OJ7!$@i>8lH?}rcDn=bH18yj^
z*9zm&5CRB5LI&`<+}zy7Qn4v1DQN%tF+5D})V1F|$c4~9an`Qz#S(og;$)t;E{xV;
z<8ZJ<`N)>9>)e2TT{u6#BNlD4(3pJYa(hXg5a)5wN3F*jA^Q0AOSnWt3cg_X9{F!I
zZHeXjN>}C|iMvk4LxVrhim+aXxc4{yZkEf<!y^xvrvtkDNUzz?!B2tDo}K@w6xEQ3
z2|0(sEzkC!$9S#JSJNLqe!TBt&CqhMJwe~SpM%?4im;d2<0?c>xbcbo|NNt(rx%TG
z7eqh`to)8%`v6*|_AEnb;+FK<L|m%!`v-FyLC>FeMA?@kle$|y)>&|E9wQ1}BHWk7
zx1f{dTgYOAC_MuMXF%1EMES&oMZec{h8MX*>lQv11ttInG*=f!IZU7D#YkaGB1P>p
zlasl+ZA7|BZtyDr0AZUh<)fU6?fez%tN~T;>7;&DG903?9U8v`$OK|JeeUuac{&Ms
z@?;+rd?;M#8>~CiRptip9RQ#15=6}EPnh1jmyB#}@@Qp7&pG$!S*j8H2yUhNS@`8h
zY5Qwe5B;Rx4%5)H!_~or4>z9$+PDLr9ADdd#U{HaE#3z{8oHR0I}z)C-}c9kAJD|C
zZpz5)aUlX|X%G&#L40T2N(VfKX=qLeoOwr~Eyy;hw(8C?-A_Y9Gvy2K2z~SB&fpUL
zs^rI+P0Ac0MJ>q%3hS=)7gwX}IAeWUMf-2~mbgwQn%2GMzH+6k%k}w5L77~$1|A12
zEKt7lxMIJ@@bj;;f_MJ*rUw(BA0Ox`u#Fn4kBCDyHz;X0pB)c;`t((UnVN@3(J5i8
zc;AgR%gNRRarfD1h(~ONlffHUUf0Rio2s2zh2uUJ9brd~A5Vluy*k~Q(Kd%{dEdNw
z6Rxk<U*g)9mQ|h#`_9eE$~s8N?<GY_dKb_#UrC-Hu0}7F(@P2r3Q~s{CI5Ja@J~Tw
zn<7>ql`B||^+_e9HA2vQ3EJt@fcKn6f_xa@SdA1_4p&l-hM-w}Gc4?gi}*%QaNA@%
zJcsM%x+i{hEb5fFOEP-r0NNk~po-plxQC_{&^bSVD0x_H4Hp*|zZaKoooO_+ut@IA
zGR%Ta(L(!gNZX`3v|z90nUt{eT2s)lHRa^wo=yQi4VGF<E(c8h{KUoU@R=d~c3Nqg
z8B6PnP1DeHP~=(>z;cK~;?i~$P=!8$k1BN|wP)&=9+93%5rA4<zE@3hv0m`&Kql-^
zxtQj&OD5lf^wjo@R0|w*o$W)kQ6TWK0k)7@Q%w<giH47lPiC?8v$P_L%jMHwGc%Hh
zAy;_a3?aV=fZl~Hn%~{cUy*fj$%6n6w=Q|q%0==FU6%+~?abo<pro2*fZuPk_?5vh
zw1_y?5M{l&z8Wcw_@+#i969mnH}W*PCTQLm+Dp<z;K{|^W-Q#qsBVAW_q)SV9jK|V
zZ-?Oe08m%HHZr&HvYI$mk@&?24BO9HNi74tuu9<AsZ){DpUmQ9gGI7=sLa^@P>PSq
z;RasZgLHUmBi>zQzgOn?-P~?i6$$LmPkX(74Fxpt?e(j9^N@k+2>SPx)M%0I&NYwH
z-{a5`a$M%2oz?KX$B0vLJzw0HgH<o9h6G9vQgQt4wug-D3el=*7Orv^_`t3*zpsBY
zao5w0CGN+krHtH8-dym1#1%(wFbm)D?%039|HbW+%8TdI@WFBePxet8RDSUIek$aZ
z1A;vG0r8|$;*tXGEDmCci<R{{KwSbrHmC>Z03-PnmM%6*Kn+KeGM%tNpYEHXxig*n
z%gpaGK;=NzhW7)`WiRY~J57GLmu_nC(?gw)M)x7#($Iht?Q^)1DZ&?ii!c1VQtWR0
zY?cw(I{%cBLJ;z2`L14l&M2z5b1yAyPiOP{8~N^Y2GI5DhUdB1*ltL#|9m*s_%;oC
zwdMDhXU)P7+&RVe2Xr11h!U}Fg>>S;SQ9cknB4nbSz{sC@0yqhTeWim_LD=Yk{c0n
z_JBpkr&)%g{{q6#5BceZF9FiZfeGPMYCJk?z<24AYE=LozuVU12DRRg#y7-H({gZd
zO#Yf5J|*du2cJ6XBHmH#Y@Pv-MtwuRHAd1~$ZN?$*rNF=perZ=1v1Z1B|Lic=!&gA
zU%1r9k{ZhVU`fLvO>At^_s}t?1FdDC+`0dQbrAVYNUvV?feN}dU(LdSf%LPer10Cs
z^wihi26Byu)lb#VO+*V9L>-T?um&I!<(1ifdKMPL55AJj!4R1lfZnYeqs7){OXosk
zVlsh4TR;k+*$Px4!aAy&+50wHr=VWD{2aUnRB39WB@Xc-<rCV06argn*b=4we&6qR
zxKr(bnoNsPg@SVI=us1Snj8KHTRs|Bxh#xeJg+b(BqU6d35Mb93elHU#+zdK-3;53
zlnBvc&La+&^X}Cgfi+tlJ1pfe==Tj+bQG_9nP!?MFCMzQxZ{sUdVJwmn1gXR9I^xj
zuV&K4>hq(2#2p5&UJX7;5cz|7sdjyV#bw9X_T*j6@JFjNJW#4$an8XiWhmKuXiq0Y
z9lwPWu^-S&_k|A=GXA^^(+W_4JTASZt)il`O}5{o%oz&0D{$2D9=rNC7pHm)vp}Bs
z@bcv$1bP(|dGbuR8Vj<X&2HK9;pUDjclD<Krp}>5kaD<qV0w|7RbQSSUBu#nh2i3F
z1klo_#iH;K=d#l8o~E5^wj(72kOWSB!l&{o=J1~;dFD(lAQp_c_j0<WuzHq(B$04l
zJ^2g<6cAobX+s1{4r8CBLw?<OYTZ@pp2du;I|^HO-Ua{{QZ)o6;APunC_9N*QSk*!
zz5Abe^I@n^s&<7E%K36Qv-&rOn>T;g8VA!aU%z73T=@(HyGYAEhN1`K{@sX{!s_7E
zp`9GDU75*kvRW9ad0g<1ON_sDl;MuKbnV>zh>w%8<==a~qXyarpbH}fMMX{Ex;6A+
z2FpT6yRX?ho(6>nGDH*B9XM+uEt7ci^~d|6slgIMUegA!-QgHM_4U|q>`k@r3Gmhw
zNCaHG=i*p|-g6|UY6=J;y>}E1qX^u2V{{5-wp59L0A-oGW{oRW(;A!_CF~o(t?%0T
z`-!wfs|3(U>UXSWLPZf2y}@;lbxBD|>f7VVubDjt@1MV8I={YLSP{map;xR*Sth9g
z`+e3o21N}Q-`w2nLs*QO-nXYh=BJFT?A~>{-yfZx<~-hbO3W#q9hn5!*#T_V<=0PR
zqEIX-O~4RzKx%-fL7P{Ew%z@^ckeDCTPp}I9?<i|Tlax^$#+2hrh#d-hjObq(fHZ)
z7G$tbKIM#Qh9(GV8au|kF}ek61{o;*;(nIhnY(?T|0#7;e4_5Ndcw9n>X4&IJM4lG
zATXa^VF+VTAj&>>&=XPV2XcKXOv?a;W{b9hHeCWlClpbpsBvO9SI0pZxfxTiIM&dX
ztP=M?lRs0T{!f?l^MgHs5=Ma5f@)!CYy<Gd0nkCq56!7~=(m#qS5)Cgq<i!@py0{T
zaKp|QOcKy$&vYcK+yJx(QP>V-C?24ssz$2%e7@+x8)$(o^IU9CR$&9Y+3!$A;{~lP
z?B&aMLsbD$9zsPr`YngcFc^#%g;bbtT6Y}EL<$7JRCjLDDIp67j=JCLUrB$6i75jp
zr8NSGo1@1L3KNHyJ`V8G9gA2%QDKB>UdIYtd#c8H{MuC7<AR#wM~-{|6ttF@Qlw{T
zO|}1rR^>F=iwq!47k7-AITQ4}V_nN2HFW^5B}Lia#J%P>%mnad-SyGfYce7HUhc(r
zCw^a^DzGl=Uvg5cuPPBK$95Fj8$$5pRJsw7Ej&Py*XR2h&^q8X7Gb{5{kuR@QDutx
z?k>|Uv?KEpu`B(%3mAngUfO%M#$&|2mXc{%q@t(E<1yZf@bH_Ve<GNQaIAuQpdm_>
z@;XY?KE^%@s2sX?xSSZC%bpAO0HY$$(T;JP-yog1G3#Dl07A`s>Cr#8St<NAOUwf#
z+)>@e)i0INfZyhHeP^<(oiYRu-UvCT&<erDg4zBRkaT4%PTmycFR!7;4Et>bZF_|J
zfq?JMltwno2CysoP@EJ1f2zS^lY5DqnuYytQOJy&_q$tr{#<a2dLUYfGbkvizOVt7
zhX>;%{uc7UAchQCyTl8T*c<C4-!M(CCAl$lC!V3K%n=~SN9R3!vPj*zvfj%xEdeaP
z$-jPiJbwImclsY>MfGz1phr`z^qj89K{lcYMEfgtfYlsCkx`^JY>}5m%BL&VX<g**
zmwiC-@c;J4$H!YhLs;;*GSy#NxVB76`}k4d?G;Z|;N%^k4K95?z>mJ*TI#7k0hM11
zE5*jj>Qe_ov1eyeLIU^2iz+ym>5Rg$UfITGQ8u<JxP)15*gDArTJ5M?X$MF^Gze%5
zLqkK5F;JaQ280U8uG5-;pLzDt|Jlc)*Q@kDf!lQzMl+3!EkS^-zV6Ml46$bsOOkpL
z7`TuWeZFy;JOwN}gq=+46>VDk{#}mvWDqcoK}*k{#nszb-|qo9c}mv+G>I58TEgs+
zVo1i-WmK&uF4+4nG9tCbKN?}F(kh^Ot`=AlGT*XKKI1Phy6gH|WTPq)`6ay99@a_N
zvXvdvY7#7&h>~7DK1JLTC}~Q-7hZ<a?;4M`7EOXOxBA*y%Aw&PEP4yntMsjnIRt2r
z3Xtped}}R482C7G^<h)A7#jwa>>(b?vCyg&a7(CaRAL`o9k;Z!L{0F<4^WSb@jbn|
zG}Kg{yQ0KYJY5-9O___$Ss2jXxDtt_<2jJ-OY6M9-SN#vF_$$W`#MZqzT|C0?PqT-
z%_#v2v&pg;*MZEAm5K`k)wS|Wo69??z9V&6exh*eC^CW0#u{Fi0M9-7TGvhmBo;K_
ztr-C27_o@4q<5BMy^-4aUI+l6I#4QFffnZZZg{~u{0qr|s~Y;=AtffJ-I{gQ&NpWq
zB)9J`dr5o(`!<PNn@RBB%I@VwDEBEq(Z5Q)e&8|sN*fVmk_D~D=W8G?e$jGwK)2S1
z7lGkZKQ9MboL&-VRp>=z<erq>6g^M`V1ejEKsEj^S-r|Bz_*Cwm8pG-Nehj>zNU{J
zKVE%ZRaK>sdL3QeuTGtk!3MI)mMbIC<3ATFh?((Eo;<na%3IPut7>b0LZ<RX71K$}
zo_vJq=ux)eR>yx6->kT+-@YBhBV&*{Tx4l_uj8=(0;$YRH{w@$*lUB5Cg*ok-^<V0
zq$GwpPBI@=aj81v`1sLxlh3{+H}A|j-S_X`pHny9T;Ub0I1kz*Wj3i%Jqe?6uR|q!
zJwaSCN>fIYX~!=vk1J++Dw~V`k87N<rnz-o2##=A(}j)76i2M71sx~@43=p?@3?qg
z-GULFt?-KVgv!a2@qKCx$ApyZKLU+kn+gKjY<vRsa6p4f0sm+UG>sPUa{z!n((47x
ziYeZD<x?DeKeKw6Ti{RM(~7P4q6yW`y5DU|RTQ|&^i$^M%}E4(C$tnaqbGn};&NnG
zq*nTzp<|f8@2%Ka?kyh$Vepr(V#)}^Rf)HX{k{|us?N&1IGqCa!4yEURGs|PEQRIo
zRnd$44Ee_8-p#~*80QocY8S=d^u2!ldT7K+zgX#Tr+cbrJgzW%@-yAAl$G0^`r@`B
zlRv`le0?Qdyq@xpOXJ?tk;R6B)BC;)o3ds-Wjg@~b*}cJGyCISQo)kvQsf=)M(d{Z
zY2{k165j!NN?PpwvZObjwx#`cldX=SVb;CF*)>hoGQYHCYqIDBvq;gz!uqlTCxc$?
zt&8KLZokS+eVNRBX^UfZwtT(BvIx2p6=_J_sVstZkNt(UD*3sKeiwEWw?Qab&U9s;
zl5k50m~11Wn=PAa*IU4Qh+~(+^Haj@C9c+BY~6s`+e8nj#(bl302u53J}EHDR5h>a
zc6qC2=m_&_=fqc%q1?BvE{@;Q@ntR;xfek`aNW|<vbM<OV9m*za~iKSWJ3%!_z<&=
zBN{R?{;W<HqBtOb#`Ph1zwtAKZXG0la)-)fy7k#^**^ZwSxHI!ZT)B9VkHcSC|4Vg
z<-d)Nz7WhiJ#D<~ej<13GBOXb#>yU2j%VlOJYTQ2P>~cga<46uw6x@+e_<!F5Ei3m
zQUpVYxD(*%{O`YJW|0fnI%If$WUbs(^ZV4i$8CIdKw@HT`qOw-Rn?If-^G{P)fc56
z0tOe4jnJ1Zy4Tu|nhN8#n+UC~NK|HNV>AV0dBR^M(f6gkp60=X`_}rESvt96?)$f8
zHBhkudfQ|Ya>ql&v1=~(7pG&OkKj<jVvu3~c4<axLvKu0=Z$_A1!~P6a5z<3W9F{g
zNh<mKEOp1K0CcdAGIbn<JOxE9DCi)Qw6C7%fQLzpZJ|Ap4^sj<%tJ%2?N8!TbBmuP
zm`FDWmIkqE?BiCd1S|Jw+OZ*s((;!D*B<tTd|>o{4_HO6Rx;e7ATLh{yVQcn;^KAf
z@xtH3{t)V-PQ7eDQEqMwD6m?<^T<)eb(!q!>=N+ggaA9Ljho8L%eSJ66X1ojgsRro
zwl=hDNrKRbiwA(73h>*rpaM+2dnf!wY`We7l3gA9u)aDTOKw+F;uaKCgXC!xc1Hzg
z1iklNpXnn$7=zri1`Q&1eDXag{~eLS)=S^nf-S%fn`%pH3ghBr$Rebn+TI*~#o)dz
zV7hnz96dKu$_Mr*YJi|0ZV5u3PJxYfCK+zoYoUg7r;gzE>QGV1X`LAa?wbW1RSKgD
zmL0I>Gr|aHkT|rfqKuLNLMMvIIM~^fL4p0m#~uFW%?VzeJUPH#9l-5eN4_5hWgrb)
zMytM}Y*6dci;6Cv^j9%rQHT_3vChILqLKspYN#O^g?9STVHNaCTxwQ^tpD7{VAi|6
zWon7HU$HmDNa`ZNR~F<lUEvzdv71Yr`1OUlQzABR&MC#DyAODBc5#fN&JlU4;}+;l
zJgzMC=QZ0wq7ZhOXr|Kq3!Qc^TGI{y1!m|rgID6>0R|OSiU4VT#h#&^`z_Y#@1-LF
zx$5ScDKxy5(6TEmtrVd}0&d_I>MNqumY1Q5|9{XUJiO$>cQ*7<L5q&Ej{-_8kAsrP
zo<)c<$AirSjDQ0p>9zDT>GYp#6ea$m|H&-o^e<SR9YB!*(X%~glF$TUuDEBNWRHY2
zn6*i7&eL^d85%Z8A}i6TQ4f(Q8yFm{1q4bMz$s>7<Bt+Rr7Q$67Bt3&Hy3Ysugq$I
zCLjdv3rZBG30W)o#q-}7^TFZ<HFOdd#%padsUuF7uHU&y5+!cslvxSTrZ-k9wlqjR
z`5RJa{@$nNqg@|D{1F<)DQG<%4|X3wl@yfkK@fzapm;w$PckSIkhyuNl7e0CHb?D(
zGJ~usLRJ=WbGdM;Gb8Hr=g-tCzjK+2N>6b8)TbyAEeSx3T-JX%q5|%DtxR>`Kq#H`
z#2bL51HMUrq?mJ})aEY}1f(3DT=OPPa60z6|FJTUfQ<FJYN(mfzD&iU6nL2hNW+i>
z!B*|b??FCCmyS&)s2SY51?=k(cKA&AmkBs!^CkrLd8ic<b7i^h)zo*cRZ<Vw0EKFS
zp@D7n7yzf&;QhVr@LpDa@!$DJb;r=mEOA>GQMzyYnomC!cAf^%DQcj&&U9Ubm`58k
zDyxBXnGAhX8;V<9ZbscGu5Oe^fU0qf?1i<xpQc^8bHD~#Xz-DvN6F1M=q#ZLpd=#(
zyR6N}v%U0w)?Hv{34z`M^BXh>lejv%tzKRw(DE)_y0lb9Cv5>PP*0(KtpCB2cioDw
zMlj_0Y2l(3lMH-UP0{v)(nD}p0X6et=f5(1>f`;rskQH5zfi*-JWAy|c^0oAm68Fy
z|F#>xe)|UNr-DjAP@znnzFzHS_=xxs06as9l$VoJzJC1y+&A{dyl%c#0<c(XaQoqT
z-`JI}no0hw+zD3sKkc)>H%ZwaHWMA2z{P{lJN-gpmMaen(yl)pi!X=#&I=85euUw9
zi=oetOJ+-^)uAh*(h7J-YLKGzM~}vV=*}Z3h^T>_8Yy7>z;}IK7Iofky}qCVm5|&h
zF?USN{7+z|lPGf)gkb4SE{qpsibCd|A}>fYuPe+z+$!2&$<k57440~rmI$>8gM$Vp
z<Ti7s->uiysk9##55?39G)OP-c)}tgQeZ@38q6fEyLXWfu>rp;zh90O>?tlDNIKWK
zbKgd+{L%tIsDT)K4|krdnjo)J;fsf2?+S5^_91i#0m{94oD7X^cg{`V>N)ljRRXB(
zggOA&wWSuYV>2P0tU*5XWjXX`lc0z!%i((REKQs^Dv^$_S$^)Y-?(_-s@pdO*xUYX
z)sQj>D*2!SV_HGjTd-jP(hkLMVzEgYbr^-=>5$srTXFSd*v5rKR3+2<$H8^}{GfuI
z+)H-w%Cjm(pbg;S!DK$(l?Vk1rOO}*&MArgz89`I<UfV1CX7mp0cs6M{I_tvP)4YG
zqc1yN-|p7eDf<r`Q1kIA`%91C1%Xu;vNWw%wpr^tpmq&%hrPzGaPK|js`jW>rG(Ef
z2aGDjKFAYif~$vh$LBrrKvhP|0Zs_0CgS#o+9L<7yK@ra(}@d;ii&)$(y-K_>~Ens
zG`oQogo{V#S-cGW=wY{M8AWcx3`y$>5y>)Zh^!fMNCs~QtgD32RaI!2CH0qTIXXIm
zRP6H3>UVGO``Qj81E58}WQXO=YTxK{s)Gq4=)cE%?4Tavka%=d=+71WA3d@F6)y6M
zXAXE|eRhRzFu|2ov8e+p8+ewe;|7y6pvF^c{OPI}z6l%zwD&Jg$nnR&wgY9w&C5{e
zy+G|;ER!;-q{6g9hrqT8=*@yijz%8`rh?Kxx6aMTwFr!qqXrprumBxHUP*}n)GE($
zSOyg-K#ld|Gbr2U@&N&RKWP5mt~+;NNrjz8<S?xng#)P<O}<UQm_+%zPEhKBaX(|=
z*M#KCx9QHgf^`AEHs7kF6`bsJ)D%aH3=}zbZjkh$KWl(+&kmgnSyG0^n%Ug4V{G3)
zcVuDINiFFGr2WxkzTd&+5EdcfzCE1;U<?#(ZAc}}auVu)K0d%O=GkvoXbnmjio{S9
zgv$OzaKY`fz&zTU=l1Txg7+@|U&Q^Ye{J&LkD{yxlRv+H4k4&Gi*_5xid4w4oNk*y
z@M*zy%CqYi$AbR~KQ<HwLmZ$ZAv)Q2AA2oL4E2@+Qw0yNLW(jY2<xs5vshZcCj8Fx
z8~ybr{5WpC{x#OadmC&kRQCtPE8I#Nstwvmphl{tlJ2MN4mm4h7h)%KAS763KVn61
zcUfI5{z13tG46Bm(cK(WTpWLAK+Y6rU6<|GdLOsVp#G}1yYBbfiIzS(lH2{J;poRx
z|Gn6uwBIaT`L4h58+~fOBdmW|*gl+diU`v!9?JZ!Ckj@|991)ys6wxIS5*C8lT&xv
zSIkd)O{e8-QRT`7XoZx<UIY^=q4En)h>Gl`kTbFh$iBc>WK$cgG<9fn^iUIE>L&&C
z@JN_aLX-C0Y$^QYbosP6zzF3PHPx>v(@;u7p`P5m`-46`-N=-T|M&QRDt{<|7#QY5
z^?7R`KIps}%n^`b&H>E?RE1LqyoCBgpnG!(BQSJQJL<GM!5%r5#1~$tk!Z!AHph|k
z*9<%J4)!Gh+zWXe)S0YU-!%+qLQsO?cH%)YKZ}V3^Bmd_M{u=?S+QTj--SG5gc_t^
z<JA<NW?{(!Gwi!vVVzlS3Opam#$W(~4F=;7)Bv_GoA<BL2<L@@9zvMbfGDr$+kO16
zRp;jiwh}6ha$uCCH}dR&$5Qux`})-qS`jYZxXOPtg1T~e{`-&v{Cljc8jufan^<-5
z5UmY;R})}lqhOm`4EZzqY+OD~i(<3#0ubR~5fNooRU8P8>5!}_&JPR>RE3!|GDx_`
zi|j!_flI1G=hWI*BZF5(&&ZgDDy_gHJbS|9Gk?^70&$jTHS+xxiVDE4ZZC2)k)+Jz
zqC}~j<jgz`s;MvlF=*DcFdzdOk`CT0-%z;f%C@nI(uI9b-~!X&AK^x#KD-w|eLHZ8
z0YH@h`tj__^s~rkFuqkc>QpmL9_yZ65a~vo3L0W`-2g+O<lVq?l%C_<IUZnga}`_V
zU=vP9DgJN@mRx>=y82L3Cjsi90z*rjEEy&xP!SoX6Lrd~)uNG-{StOSLr_BtMf|t;
z@$sOfbAc;>>W?TWfldz?g{{f0yLt^GFBwX8q@ekW7cj}v-mY%j_3;|85G}BrQ>^_x
z|HtX+{`5mZv_Bp|=do@nAt7}XM6p{!W!aJP9#GAK7v8GBBp+c%%|Q5}T)LZ5Hwhz3
zEg<}*L1jkWN^s}0$`%6IC&9~u^eA1hQTzY%z5ciD<!9(R3Wk9gs@xu9U`T@Az{AVi
zP&fxGffh?tspZovdO5cYgaY|L*l=_n4g2{1ORO(|F*q<F`|>V}0K0h^?~^3_GoZn&
zj!gV4WYsQ*qGE_#pokC!LifHO;=S|nDozM;<Vr87IWl0kY5;0JcH{_am4J_$gb&QY
z;NlUusZ|ZaDBRFHDF4ZKzXqaHP$)oq91uWRmUNj=#xJ$rLbnf4YJ@!t1Y+Cz>Y_%m
zlPSPJAQC99h2f|0P^5WQsbQZ~;~$Jg%?c5LQ_sHp^{#!0WGhf$ZZ2VZS=gxZA=71_
zRIgXrjFQ|f4o7NZEAEWkg)VQLG|?6Jd#U)e`VuMg4T;-NiD6Ui_LQ@=vq=1Zt=
z<R|aQ@n5Q+sSP{Ni9u(`vI}csj+_w}7e}uId%cL2yl~+*Y<C#@+slruO>2N$reHI*
zV7x><Q%{VDR8<2GX1Cnh+}M#JNO^A$JKse9m>Z1%^czd#l?K$)v_hVFCn+o}{7#td
z*Y$e7-^G<mD*&cE<=2FtTzE0FYMc8|T`-j2u)NY0-k}9TRg9QzEP!-{m@CE2zWsLY
zXKEK~Xd}Siy~3=NvTR$}yNK-<IEZWoKD7Kh(%|Q30q7(?{Z*P6OQ*)6@Ve0``9V-m
zx#u^j>E9h+x_W7npe*dIp2?2RX#a8W&@p0A(pQ=DfHH)=dUg0^317HmtsBt%VrIA3
z#8|LGFLDXLoB2C0ef26JN}}k^%9-xmXNXOOP4^`r4#0Qv?TJ!^l4v%0n9y46--PX+
zkLy9X`v}Dg6easdj)0@FS@w`|IFvF1$;Xy#u1#a<bVA~Ra_x!FtTWv^0V;;E@>+oK
z|7_2}s%DTkcrcMdmbe1jUQMH3XepEL1DJ8_NJFf&ArNKHHJ}o&;@8JR6hI6?2c?a+
zK$^nsXL%b%noNpqbgz8~vIhny?lSQX)#InTu?7at1t$f~cEM#)RRD()LMADnqA$JS
zuccwD{;LH7?)|Re;4pJxtcd0K#M==cVC`zB$uQ82^p_ZYqDHM1r(!*negaw#wKqih
zBKyW_6VeGai^H@*Itpwtl%?^7r&WsQutYDfO=mImDB{r38gOf_CMm_f4i$EC2f1Xs
zRhT|+Z$QWIaq*ln9@jyiT6kRb|8fxp&$#OIojWJfh9oM4u%krgyk@$xynLWN7V0ht
zBT1HRiRf@T$5g4nW_!@!-^rA#SMkd|){)|_sqB*x<}oO<G0p9Ur03C0Pd>~h^BpMC
z(nJeLN5S`UM_E+<jQywq6N707(-Z!HLjiD|gX#DRnET(2bOH^dlf%KHpfhHmi$frw
z4a&1eYHNK_r`)F)CdV$oqznv8p$2`e*Bc#xdQSOs&F>$gE-rMG6euFU-D4;)t*90O
z*qHx}>*#n5XKXv_X+R&miL4K^(9_d%R0;g9QD|-a2RV8Us%-w94f=ozVYZ_GwoDn|
z@zHa)0b_hXhr>bSM@O?DP^`e51*M>3^7|_`FW{>5M~<i(NyD%P3USXVMkmA5)!G%J
zQ(EX>qYx6EOs}*ZhS4=JG0_tX==dIhao`yC2)m;qo#fI>bY`DCM>GUR1YNlqh5{3y
zYM@J8(>5S*Fhjpo6UvDi7%lg5yIrbiL?=G&Wl@J!1$xT-vSh*JgntaO>51kgI-CfR
z&I;%P1|HKOG*5}zMFRxLgxT}BzfZcq`~g}=(Eck8WL5*LzBVX)^8K>KPNPeG&P|iW
z<1ux)c0jNJyQtsqg%2=*$t|8vU-&s5G|RXy*T=vwp!I|KeXo4_zyaxJsn+1V+?=g2
zz<Z&%C{Zcaz$JUziJe%3{<WqdSYP#bM2hMo7q!8*TnP7o{vN#__~(E9mO1AS@3B@@
zp<~{e?sxdlI24tUO3+~b6PP*#^Q3}u@%oLO$_kTRBsYj3jA}BWOdM*UZ$_2rK+|QX
zPUAgQ0=IkZ8?jLu(6R){8+4DZ_8q0pwnw5G%BHzM-tQT|Sk>q4B$At1H6wljOY6L^
z-SN?*H!I`|(7Ok2fj%vHZam-Cmx+T|Vf@2fd|Y@`xjUJy9ZMQ8sb7;=SeVl>>ogvt
z*o&_ET2;8rm=Os~rirv$(g9|^<~#gyg8T^37g?zn=uT%%f4D@gtYrBpAfOImrsu%$
zgulM4O0Nn$`2$~vW6PJhz1psiA_}$+mg*ZEUA8Xl#TwQhtP&ux%!))ctcZQ&arY>?
zq|oDT@q*=e#424OKuYe^XxFAV!pm)sNTB@-%jReqXZUW=1l3_0|M16Qhk(ZsZnoj)
zwG_W44DXX>v{R)I&m?_EZn?hE0yih&a)v>0Z=SUTw5wO)fr^SsqA7uWgo55L2sm)q
zI@7{BaEEL~bTgG#bT-OO$K2t7%j)!oP)!+Q1k56-doIo;DJJErue8;9qP7r~^77%I
zI$wZN$!`QVM%!R8f%~pXCcKJ_<bhcN@W&XMqSS9{B24DF)4#r+<Ng*Z4x{%j%QlhR
zl-Kb;>u*QQYY+kU0kAd81?0yg*cP1y+^iR#Kef4Cz3rQsewl~Lkl5=6Txe)~?#bUa
z!!gU&a(;ud3CfX|uZ%U1g<<(GNQ{5XyY`4MP1EHF1`8(#M~%t74bscVNGn(ZB$MPa
zo*@32BP264KAv4netx4)PVo|{NAcDzHJRm==!1*p_M>G5A+1^cbGnBkA`<JLR<C4S
zNF*v%<!+9myyA`e*91z+^bC9oyO=@>8<-yEG_dbbK`ve#>r<k7cY$p%e_wF*(KoT0
zk-v^AWf7(&_GA%)vg1}e5aWSE1AcGSo?Tq*8xLJ{HqtONlr?=%n`S8MU$ZijGiX(G
zJa_lh<=R@|n@kB6)o-x2<^-Fu{IF8mwpxJ=X0_L|`DPavH$*9Y;g2bIv{S04h}~50
z(udFfm8a1>`K?XtJCa2>AGJG%&iu_n=y9t1D8aajX51n63~K}R>Buq3Lh8zn;6FoK
zXZG2MOg98sevQ0u&GdKt+3&Hx{}fmUg23YlRK6E>h8Wzv7-Dz#?Ej7bpg0_-zw5Tc
z^b^=l`Q9sbq`qP`P?6feB|HXH5rpdrK;-HmG9TzekD_f4E07S7qDm$cqp0;o(5IuK
z^0V#}X8C!Jlhb;z^1i2mGzh@x(J!csXp2O}IxwnZ++d&{@}(K;fgkYeK!-fHi&J;z
zsviLcO(&YK!JH}T<--UY8;o>=dxL71=wv-wTtObNuJqfnds*=J<iW;%P1^0NQw{34
zH#B|HE%)(6X(wD!1F(^4VJ~z;5S!cI-`Fd;vDAi(huVKkT$Nx}I!2V=ekWXC>qN@E
z!=O#@aa%_|4h=mPlJ;B0pz<?3{PXyy;rU;$t3Gcc-Yd-UTKYt~^^F;haE0q4?5+ET
zSpR+GUr84!!^66AtN3WEc!6LScX*&nAgNum-eX#hpZ0-Mih44y3)Sv_<EeL!zKA^1
z-11)Tg5}kJP8`a)x3l|RF4DBPzS%WXa<*F`r?jR!m*UlM?_7;@qqEewcg*5O%%X3j
zbK@`S^V_%7)&8bp?_B2v{SqO}B^VI69ep{QI0?sbHv0glX=mTPsiUh4JU{w0vOX_1
z@$R8&ih4mwv=?4#u&V1y^7gEk2j`ACDsc%3=he}0PRu6qgMagGrDZs;ZYO1hVBpOQ
zL*qKko+Gd7-%5zaQu@X(+4U9e7)M|rC&%d117E|f&cgCAuzBqzQi(ZU2{DalE9wSs
zM+$M5*1vhhuHBzq{*I?)`b~EB3$Od`{S%ocs>XG5HdgY74H<=mg~<cCC8{a$DJgI4
zlHn-9iZi0D*?|dZ)o9M)y#40m*NQnCIL=iUR5RNDf;>OGe>#L>SD5i!MMCw~t-2>Y
z40}t6n^$?lYCmSkzM?F{_=jr50G>HyfX6NfrJH7XHtEA!kHcE@tJ_JjSp)5Ny2|@o
zTXEcs($A(lI|?q5Uu49Y$6Dy=-Z{xQZNY7`iZDh-seRG3u(9bI@klE!F7|`F=gJAr
zQjF2NgY@+DMAm+DjqSTwy!})cO--1x7&K+vnc4z2rLc(cflB**9u$?dj)fH%IJ302
zt^*(&vy=9+(X+Pvyu6X7t@S2B`+>6AYh|i6J^9v);J1xNT4&Y>HeCtfhqEQ;ih+5#
zFZ>>hiF@nkeqf61#aFSuu>PxBy792==~p1$RuDrv-B^)jij;zaLN~Y)dwj4Twdlzj
zEdDDe(seRk+vsgNq}M4=B`<frVt>B7Q>8CMG_ZtJEfKDJkLji_ZNQCJS_19UWc9Um
zJQsFl{1Q)&(rjseV4r`SvEglhcgeuM!n6)69!5gkgm^06Rb92+gso({YjgFq{qyMI
zj9F}M*F56H&Xx1xgLJ@SKJQ&iN!XRItdzDP@s$+9G+rxd=TAoJ0rzCWbn%bC^9$ff
zN`t!I#3{X6V_On1`?@|-_&lJiIvDtR3+Gd5PyB=<kh8_ZFC^Bm_>2r*TU*<Qsc~8U
z%ge{e59?mMc;RBF7qHy8{2+BAGcJj@mmqQuiO@7+VtRZ*0;7`($FK5JJFKkobxxf+
zwV%c<wPWhzjM~jpgqBwym^X@G_Vo75;>w3~1H8EHTZpBwLZZBibdMe!RPpltSPF{H
zgVe4(CFXx1VfISSIiTU>=I!lmMbjS;z{K?RxeAFyveYFOWWRWdxhBgGKb=Gjdp8|Z
zTgyv6V!Z)^X;;kW7L_==Uej<PwB#zK8xUUJBV3=Fm^BG3mHqdY7U9X|fvG8;F`3;r
zS?q<g^rJr5v3Cp%#7sS!jZ4V4envT1P*|8`d!zT8_&N67WJUCXX$Lo)yPBI{>bvtM
zO7A#P<3sL{RVt!%nFN~-lp&sItOTr+jGC~{S|FL6=Gb;2mX7?iYZvX4Tx!0NYtiyS
zNQ8ESvJ6K=&(<_&?%RGv*O5XCIrk#UC_f?whKL8P*vLzt<=j}N*ADLB3ux!u!{C-E
zFSkp%-=|ZHT0fU*+(9;uLWd!HPtRt;G7^6w-$WOFJma@>qN|0nZaV+tYw-x~7LGlD
z$?c9C%-AuhN~0xJ!0q|!c@JO%qgOV64P$UytFc=(Fy2XdyPTSqSsUX$+fAAC!pD@(
zmYfIDrd6?c+M#mC_M>GPp&#J){F_f@uNK}wDZghc1UF4yJGW(LYulht06KHQpzJc(
zJv9gT%U+^)0WJwz=$z^=R*w`SltQ%>bvKtu^kXVd2#xI=fHB`uaIcw{)}b!eL+-rI
zZIbdnk@kCCN-iRF+nCrdCnTHIHsmVbt&n%DzW?k04)i=ohq}uSo2bOZL?NMrlEGO*
z^o2EyjErr4ebMZesn1`EM+Q<}#Mv|5OjhT4%v(5@^DI5?`!Wmd^XJbW^Oo8pLZ`89
zM#7?^;ocI*yEs?+?QW6+F!R_Uhf|qkE+?X$m6bep*z1_S?BbIY6AGnB{(kJFzrX)L
zfpuo^OYu~bkQ>;;T3?n-*b-j6M`)j2F@w<9RmRcM+Is22PA7bt;M*$YCZpSL1kOHJ
zOFD;1bScwNrtf#X-G4{c{668MJK^H{kE8A)B8di-PH^AeboD%8^2U23;r{R;Y1q?<
zsQT|p%c@ikXQ-t=EPu7i7f)XOuh7EKtZH`=^U<C_#yFsnxD;N-X|BwmS@AvD+SBA7
zh;*G?JM1+L8?Q2r^FJk`XQj-1jO&QaU2k-D)Y)2Cbg}E%@k|`}3J-Oi@(ZlP$K)j7
z=d&aw&H|+i$w=VyYI!x0P8GeA{jLYAWZ!F^zZ*<_Vilfo9_GJj>WnnC@!~h1Pctzw
zbvJjuX4l61{?5Bjwd!6POrY4rOs0wc**ZnsyuLm+t4@Yy8dRkebsqS25_0fksZPeS
zFKumVaU9#tw}S3&Zi(YAo*QdFs2?paFXth)Tyt*eWgD8tSSNFH^SNu4Ap7i3Wz{aU
z>xZV3bUWfw^6C_M?RVD!b56~EV)Gsx)j6hq)1Aq7n$ter<hp8eOe>`Kd_IY8<2;EC
zx{33n)AkwXXFbwNgSlsOue?u7d+Gf{Bdw#|Dql!QC}?sxBQf7vt)0+}K<=j~*kEw!
zAn?B95n(>>ns1wK;)8qrW6I)0UwAT>ej{N=r5wi~?^B%&k%_dxH7l;4j7{a!$|Is#
zQJpGxPF58t)Fm2Zt?VhgNl;l{w!h#ZJ*ASx;K=Jy2t{&=bcg%n@~a#gSvAAUdebUP
z<@$_{Ca#XI2MdC^orvtS66N&8_O?3JT_lsh8AA$>S2|yybL=baYUQ9%?0%#8`Io{W
z^9c6fIkSJ&si;mFqh}XG9M3+_{pfvcM~D%-J^~pM_Z5{7!9^F`+8}PdEhs3ckCBw%
zjCQ#GLVPM&NJQkgJ~Nt`0{j2*2>8^RaBDF|3CokOld-Y|UU&BukhE6^R?5SXUjfK>
zkZcd6Z`+?Ip7(t)egZC12q?!w`8vE{?$_HE_P?I<T`65%BUGSo4w-vEhg5R04>Ely
zohz5<uo9MK_Po~!=PuE-2$SbP(_eaXSUNE~`y!ZLjWBnj>5{TtD7e@LnI8P9NSK8H
zxO^0T08j%F9zzLtW&X=iiTv%_XtZ?nC+#QnA>nukCk9mN{I8Y+VEA)lVtf{AkhhxK
z6Bq&_`#b^$;i$A64h}D{L6+%8kM+;_y5sJ_VK<44ZFSMe#)7BB?~=8>z0yL|A@^IL
zYrJ8foSC_uuR{{uw+W>>BG_kyZKJ#iS+7P$B<DPv4yBSbm3SHb*ZCf{p`fNMi4!w0
zb4P1C*NJyz5nDZDQ=9a-gpZ^47FP0jzflok;e_|^DWwVW3An_>yCv_Tgbg%Z)7H?{
zQRTJh2K8lPgMzMfDyt<_*rjdQ<=F6;T!SqfDsuel>W`(2yn3gZM&mUwq!Y}#Lh9`7
zR2RvVt&9BeEg61)+rIlw_4z-53jxH{rQB66>G<Qz?SUd1iB5VlW-1c}Tz62wMS1h|
zF>gg$vDm{ojXhb}*^VK@8DnE()M$(UE>$jWscO723ErnSr43`vNss1MTM_^|!uID2
z_#B%evo;!0$w=*(J7m+<jGd5DE@}~N&gih(*i(k_vPV`va*(|w!{kj5Y1pM+vUG}6
z6f^lgCzxznF^<Pi3*bGiHYf2645~1)wox%4eojelbI|<&HyfoX{oV<Y$#=rOgEwk)
zNfOAXkVKn>CTXIxv2T7aqXa(4{kb*MYiz3Ab4sIP!n+Nz5G0o=IND9ln6g;^Pund#
z)A^(4jv)ljIdT*~4X3aomks0QK>I^^JdL+HPnfZ8u>Zy~zYWpujgXk+!?u=EX3ehg
zyE3s-YkuwwqMCD;934ztP4C`vq%2EO$OZb=i=m$jh7M=!UFmGOlv!kZnNp}~!P4gO
zYj4}n-o2#t-Aa8z%IjU}xz0U7Y;ImBOGV~XZ79gxM$G56w%Ya-{PgC1%e@Q*{IeH_
z^zp7Ug}RQEA9<K6=UEULyK?09>BKCg*II%X9`pO01$D2%G+e*nt0kIaXpSi2e8we+
zlcIxIAPLUkaV(dnL%xW3!`Y+eXMDxwoXupfekwy%Nv%-!8>KogesnR&2E-uP7LoPm
zDBB3n-bm3*i(^e@rd<nYxwfV3`=YQ`2`MRt%G||IwL|8T<nW=}Z+kYP@Nk%MSwcZp
zRu(rK`;gA%a}n4?BLEU6SIAI6(%~@n%di*B4Gj%=QaQl7GB}X5TkDI_3=m{X3kx~C
z!Adb-3Jji+2Oc1hkiw8c7m8R5wBV3CV7m|(qKpOn>258dOG|k*MiWgXs9L{r{0x*_
ze1*q{D*$k5;pUp=JI4S@=D@_>as54&Pk`LtXm*xPG2B`sq-YlUxF=~DVudj|Frhb_
zSAv!ezwB$361y@oGVpYXo}*#B(mRlQa9|#TgUJ$~q>gPpAc%%~;4FXwF(98I>~Nf&
zVwUCZ;<7a0HuR8XeNZuDo06T_*j0AJrBmBHK{aKhMV6%jjQSpL!+7|50Lf>^dF8dV
zwBUebI1IlW*W*SnEzslfz2}g^TXA8-^&bo<=<9=n$Hk1WHlm(b81-u;t~U^msWWZA
zI1;V4A#_i8P6u759x%QHLne9-pLQ1yJ~$A_w|$!@*!muZ?C^6AG4fJJ)DsM{2+#N)
zWa#3(TmfUZm>$d2Od}WEFflPXb;?IpMMhs=ALbPzqoNLE`hS`z<wvWGYRWOa!@X&9
zA~vuo@XAm0&kvT)<lKskj4bdjx5|$M%Vf?kur^62BT+Mr<DzD`1^_&GvLn48>rdN<
z#X83}2nz|t=Og*~6PKuDPVeAPSU}0rhi829xC?qk0<mlDN&7ROe7X$vI2Ww_+c8(f
z(4%)PqXPT1^c-*66_37VuhG!b52N!L+zBzV>;=<ji!H&vLKvr7?xc~q&DlBlfR-P(
z4A)fcN=XImHPTy)(&lhT4Sn?*oa&8SY?PAV$2fgEX+Dx0yJ7Q*{^AMvLKrIp7%B*2
z6y-zRs%Lxw*NWhbi}Ubv(Q_D-s+|Tg{p;~vl}|>`Uxh9yfM@`R!%wgp>EeMXuYTqC
zeZ?LD>~sJIj~Mh0Kb)`FqEt*yP07PLLBCs}*Qb5>5d=mEb{<R)kZ@Bt_l4fl)WpPh
z6zH;}#Tihnfy2$9;}vTiS*@J_g1SNG7PM@Qe{lY;H;C6F{N=yy9@)4NAt?l^em9(i
z1dvC2<!9xGI^#nIkh*2y<6v+Ah#}eCxQke+WO#l{PFFF-H+O~@pJhR;cuJ_g`J>1j
z9hk+9oHtyRUxovJJCZ7<Qqy3pF_;~*O&&HEW9Qs^pl1R*l?KUL9v2Oxmtv&6wzapu
zC^;(gaD0718wXSmP0EOiCNk*zPP?|Nh=CgcD80a$rn=x$o@J9rIj{&Pup{i}k^FMF
zXRtG0J){-q0$1fO?d3r~CcI9Z4Bns#O!qy)b7<p-`KpWH^)|UR6hiFR!;sDjk<B%V
zHs2P4(ixQdpq}NE-yQP$CGrak$HDNeL1`xpR!ISR0F<HRJMQkwS<U3G2iIzu^R`Q&
z35hQ*7DK=?tOeuK8HQk!^7CDlg@bp0n`*KCNU}^H5DU7w)A_WZN0p=|ooTdUPzRL+
z&M%xP(;#ac2HE8Dbrf)Yup`A2AD-=rhA>}N+!|)tx@=#u;RYgF-d9Vl^gFN6auRhR
zOB$VEEr*SST(Di(0s~qeEcP&6RL1Fs`8a2gTg+hIq&Lskq~EAF&z#ZT(wp4BiG_1d
zm%s(Ce@G|whAsHYC1itukai)AwkeW@8X20sv#X4!L^ke!mm5gDVHtIAsj%s)e~+6a
z#AAryb5_KvTU8RE5tvSO@NEn*)>Jr>Q^!}=SL_^+Fx&Fwj-(e&g5>iKiQsGtqZcN7
z>@R<t8ak2WZFNy|=gbLe1Ggej;F9ooNtmodzzbRJgL@T&Xe;y}cS^u$t_1qYKfXS5
z2IJY@F%rIS!6?L%vN*T3Iads)V%0;~Ip4adHeMbMs*e^E1TiC}!^#u#XgkvrqwH!s
zv<xK&!{l6gTWr^!D*3QNGqAzU?nDKFE5L7yA%qvd996mpIV(1m9Ov(yFB8J`f&<yf
z7YF;0X1HO+4BwoCYFF^JOB2VF7%h8Ul5InRX1C)(KN!k8ADsR)#NC6*4zbZtHMHO-
zs-`R%@Gd>K_hEw|HrIrG0&9uvP2FEe6Eb_0g4W^f0dkKYPkm;cW9vjKRvVxk*a@Ub
zTAfUjO?rE$CB}5BP=?2(rSf$3!2yTo9aUnAoZqbcm_A8*bPsv?9wEyjOR{1^kB+K>
zR@4@|=@K<2IUFR2s%rxwA?~S~Y2XEU=fJ4;_!G7l6DwF>;OFG>5cXgJ6-j|~bsjhe
zP=jhqxsBrIF)K>dC(6o6y<J_G<5y5Ka`9&sojGW-tM%qmZFASK+69vi1qzpPdd6YO
zq!DOuzxM}`zJfwhjOSRyKuAI`AJVU7OoFfeSxu{0OABI=mV&D832xfne7m@aY_Fwm
zZIbqDUwn|v;vJ#WGK-G&a;MS)yrX@`7mk_;S2`T}nRCO{&20=EUik#o8i*k0RtzTx
z1|6NTjYOcr)Nm(7<3Mj6$tM`}&X8j_X3U}H)ryTrx6LWtpF+r9nMFSW*=uB_7G9l(
zFZJ2U=L}zNCAK;eQkYVnojM_cj!}oO^TTL@pY)>X_#F^;Gt1Ye08g#ANpGl~1HG_+
z?qX!&q?~muR3fYVlJ2JbXUbWG#jq?N4$Q(39pX_LYXV<m6jKaSE+OntSxIhNBYD68
z<~&84ym9QnCm*JJxLnc<mSTG^DeGKeAj4*R;S@&ZZf{U%wwL*fwx`*rjJS4{%_yUA
zNi~b$9J2QnA5uYFHH4NhaI{gd@v@1x)_q>C5(U{Fe8aaKFnUK?Z}BVOeAe1x8(~ap
zFIg(iHOeaXK6++xr99mnwm>sUdb!J_4V0e7#>VyaacN?vX@^z*K-zuy<6u&ztB~NI
zTe7aukoopu(=zHlsoqf>^6=nezi@;pb$lu|Cha;@OGW98CH9)5N>{QK<}RX|aIBOh
zakbH1WL2gtE{+YQI#AJoFSO3BgO2VqM_F3=$xxsK35JSvn3elP3(0qU51~aj`HTrp
zLd$_dy8uJXNb{WVslt@y?vfbq?Ah#U=7=kv3z|vxHa18-+Dp%20Hzh&>OgH)($&??
zEFOzY*Dd6OZ!()V%5)d_p9c`xet?YLlfy1|)AyX9WzP9VyZDXK{vJ5#5dy~7;cFH8
zDO=U2oo}OExevz4(MD3>bx1u$9TlDRkPWgYpimTi!9{)7kV*DQ$$v;qsDR2|<4vRt
zyicda9_vVi>8?8PqC35nJ~=mvnJ4kZD(FM!(}vK2uOo;G_Fam5=oQ>jrjXy%NnYZB
zGPWhslnWm_1}=6zwAznf2~dn{^;|nNFeOSSynP2?^!dwnZ-b)}vK=)m%8>9#5^Jw>
z-iofN$%U!dg6<Ngi@%foT4fz=o3rzVnxdF#i1#cBup-*|4B-CDAOi6#+NZwnmHzb!
zeW2p4O^S2NO$H83Iegbq62#<QCYNTv#pS*VOWl}}#)58b+n$xdxwk9x=+|OEiz#9%
z@mX5|D}Mw5W4dpuN^Zb1-A0X+YrCf{d`a(G9!#G4CUv)Bw_rFX2e9b+z}$ubOfwgf
z(p{Dy#uX)UC98ERG|p}Bhiz`$x5+PeXaxEoybl3yLZ|aX?&a=$3uF;QG6^VqSoDjC
z2BPNa?m=ydko0y#y#_r8<kN0Td;2D^zMZF1lI+MeSunbD8;4@^hkA?ymgWVP#D^6y
z-e3wdQfNjC!XX&q48sWYfi0&7VZy;RWA->~)Qiw%PnfG;$j`#s=5Eau%a0jujv6{a
z1GiaTgJ+E9_Zd3StFdSVdj+B0J?1$8r^(nSk(Key*k4~bo#1Hg@@6T>9x(!F|1AFb
z`G9l3D}iQB>RH@VC}KU`B(WX}`O+zFlNLE4T#s3NaEHX*-_830H1E3*fu3;W^#3X2
z>Ytjf<G5VWxQpbp1Iz%E=3yBg48!AOtXf2)gJ~y9j1(`Pv_OQx4#xNvb<rgud`BC~
zfFmF(I0S(xQzlXI<Q!uzaO1%v;wcz7Vhc8;*Js#I{R7{7f8U?a=ly=YUhfAMRu({^
ze!q2C++-pqrFS{H$B+JSK_F2(KIt|^5F?44K-<bU>2a=)#3deul5kVGRpT!_(hxC`
zy&U#{&?i2%uI154A1RiPEXfmJKmV;Hr}7rN*!SkRPWSRl0~2oSKf29-?_*0-zx1JE
zH8r0RGcP|flLs>chW=;fBpw=%ZfkE(=*oA5HnFlzhJaUPoAP-q<ei^-FpftvMWYwO
zNajMLP$C$>_<Szg;*d+qHn<iJ%7{e6LSvw>)z!NuqCG~1r4mCL4OK#3Nx9h|+O0AO
zYunX4pNh6$;}+}Wr~0v&MS%z5S6`8(Z}vU!mt$PJj?S?gK(qqMuH*QIlpk`LNzhz}
zIGbp|^b}etc<nJ`^HFs*6_0-F3i19~{1$7c!R~#r-TNQwnpb&o{?^9R$`BWhEp18J
zpqo#ma`LiDg;kHIUL-?G$b-G4OadCHfWl)C7V9#k-7;^d$<jJW&bq2Zx+rs}pl*R<
zq~CI2IG??TezRRewuGccud%k7ktkWqH%<xX%1c-$+_%#4;@<lSBdfvwVstL{iqKU(
zim?)bZAEoHFMxMVI5z|zr)b5NjVG+!J?n#kDgafJoLZCf=<?L-FQ_3WeW-<cn3_H`
zFx@sclCeo)j}mgA-dIpl=&DajLqt9ZS)AF2MTB(Krfp^;(h6AeBG_XlJq0qe`>rb+
zMG-#DL@{*$+6&{@gV{4%2FH_d@{FQ_Z4W11JC|7tB%d<-3P3y@Tq<K?V$y%v5yqT*
z_`OJg)KYJ$^=_T%FHP~sG=Ksmhes<n3`*5ghewMEuO8Qacj{`rlv(y1#n|wpHIY_l
z)tLg%-^HA6ex6CXMoM{D#?@*uZ^QHIgD>QlBn$6>x(5Ml*+JYe3uRn6xGLjEjAWph
zYneg$P4kUk=xVCW9)iNq4Q(K|HDD`}95;3iG?Pa5*4#A{vk&V>J9TsF;Fa4p>OO<h
zOIE$$Kr;%qPg3S2N`^!AIc?Ps=kS9&;!!|Q^`NiF^F&YbR}np*R@NUH{%bW>s0lS3
zBKNYCSa#%E;|{LXd2F9NmJpdg31n0qo=`xN%f6_sKr{0ipn=w*=ko(sZ?I0jn;Er)
zRGoH(OKlHgLN@fM{Q0f^Xm(bzx}`h%E+-{G_#aL~=x!!sB2pnITP*1Gq>xnPkQM5H
zcCo@tjkwd%eXapi9^q`I+C{RTaKRNU@|z}2Jcu2pCeh6Uj6Jz&MM2YL9>T#_JAKFB
z&<j6^M$Ku7n&>ds&Ump;W)?c?lV)*Cu!OD*)vtr(_9Lau1p`LI@%O+N(r2p+rayT)
zvX`X8h$YLN#btqVRRI1US;Tqx4-P)*wk7Ph`4+CY$kQIntDiM)frF0lu~|E%KN@b_
qS}$?*ZPN84&E1<X9rSW?Ti?9XIr~acAiYks0bXe2>rJo4<^KyWVLpBU

delta 22341
zcmd43Wmr^e*ftEdqPPu2P(Wo65dkHoErbC9X=xFqOS*=I1zS|m0YqB5J4R|iQ9)8V
zMi`Xt&SBua7V3VU@6Y%1J>Gq6Jya&vy6-E_>pahU%@%CyE7+EO>N3L2Did6eThE+|
z&lAL4eXWSe-Dk9$_K?h>8%#3ycbL%Z-nnDP&69RUO^4P64*MLsDoiUQ>w5IF%I60=
zf*;&xxO%$g%!_mTjNWkUJ$pKG%FEzs{@$*Z9`$|1=<#2<6JkzdTKf7j4#NYj{w(6^
zSq75W=I2K^^G)i*BuJTt<pv0w=ggz{^iv+arEX#lLoX#*1Niy*^Np+M3(Q+?MtiN9
z=iHn%372roJ;Tmk;5vKH5HZNolHOQ}!<g5;<yl)U-;5l0RgSoPnn2<SsZGF9mQp;H
zr-+LOC1$R?QRBQ7CWs9_uhA^ahKqL?Zur(eyOJnZP2XPik}1w(x=ag6Nl6J4whmK@
zk{Bfoi;z9z!h|g4Yr;%LDKYLGP9xuA^kO^%SS9lvhLsW$65##k1O(KQlp>qqbqmAN
zn?;|g(PB<Dga}FftJz1LSQGjpYOjRyKk%DyE;+`lH&P<p5G|c$O)6YX)OlE>$9(Z_
z1xHHK#T}(ITmK<fTQhV;sFSuxU=YI|>U{L3dYWd&fTNg3nY)wZO5c+;WOI6RbfhWn
z+0uNcaR3(I5Fx5|_pbXu^&#u-d@O$9heIQSc6jB_??fD>wZz3%Mpm}=;{In(pC)VP
znRI6xJ<00vW8j{%qAav1Q{ED+x?*Fl`<_30_NI@~IYB{0y*^B+B~dZFHB-Oj%=m{+
z7cwqsH>+z!hoMq`RlqV2GV^h_``T!d(_))etw|mi26JO^tgU5kuy%2#@}NRZ*v)&h
zzrH-1;^XI6g@teHaUt_0wQyBlJj%+N871jq(Vni2&%G&NODa@M)5>axJJCo{<seIi
zi`Zr=OC!|Q4nwa;t`A?bh_@5gf4$%vD_ibWgDYZSW#z5Bc%MLWYSYk4F|P90$-R$#
zo}_izdE%X|sK<S`tHM^Dec=JZ<<ei=zUvqbtL$qi+8=LAT)nw{H~oVC33}h_89D{c
zOOvFwd~-Fdc3cUvu{x}vsphrEm3C|KA6u;<3!~jcTuHIxD1LnL^XD5pI{9+QYOSGT
zy--K;bzgchyS^(#Tx*J&Ed1m(Mln)Mh%8LU$Qu;2IFnA#B6d`}BZx~)JwZO$vqK|O
zuZyu^sxybZqqwzIJp;lU-<oHtTwv29MwWtjFu*Ogof)q-Ul?gh)kxDMj;pF6Y6Z@d
zI#_M?Ai6O6j~DmXzq?c^vgW+8zWQv+p(cnc^-j(`;<&y4sj|_;a7W4{VVIQZMP2jr
z^TT5%y9?63QwN9FSLbyKtwQ6|XM`xe+a3iuY>@UboIlzv>><_tc;je7_WZe>(|WsV
zylJ=Z^E`LY%q)3YCoqWnhsbtXK4fblDmcF9K2U(wlIP;$(jnMHZY*XYqrD!}^+Nj`
zsB4R<T3Jz=nR=nNY=LJL@j*h}vkRjwMePqvOx7NgA)jk(2#ne-UmneW$=yEqVwkC3
zwEIJ{p^9y1cFd>B$`|PzB<eERu&+3Rf*W`vyKk~;)N$=v<<qB6uOUeVBe1%U#_e~N
zBWo?u`>afl`!I{xT;Q_Qd4aESvx>X<s>bDWTDiTH9Uoj=A9Yy0(=F(+3-9&>WOL(L
zrfpYlg6-;fRyn=1=(96@JGbuV!_%5z?j&8?G7V*k*{7Q6cVdEqj!u#Y%9TC`<_n63
zqdXjk>Ov(*&Z9`P%$qlF@bQrO0v*Mh)M;dGl0e3Ak$rUsIXym`U(J1@O&~>%F9vcd
zuf5GGnJT_UxwyY_d3@r_LkN+hA9#no@`m^D-g3UegEcod-&x3QNc4O(o-6AwuL@DI
zugB2YTPKWWZe_NgIJoNobC4_LSF%n)s;%2_L*%nUq-^l5?!cnE1J!LL#@DYb>r+GA
z(NYJdb6pPS89$rkrP%Zo<Kv&~KDeta>YC*xr|GTxqtUutc@eFq^^xKo%ie+n(j>)+
z8gcFVb=-XZMnBtTH3LR!bA2A4%X))>g++e?7vj?~&Z9!XPb6Jt4|u_CdRh0~uXe_l
zDo8<>Ju&HHw{k;M^$B6CbM5MMq72K_plu$k3dPfpgD|dq4WfI7hGQ^)lcwh12zHEv
z)WC(Lk56_({_na=Dzt_#iVBvD9#vD8WcYE0LmvX2I0)4{<$EENYqA%``pQzc!;Z;=
z((AYHQz9I8%ig%LBi`rkH$;?iZkdd*1>riagcm2e)KuHIZ^~0Hez>xywWy9M_ZUMT
ztEhc^=OT-g=ZEi$tO2r=<>?Si8&s=K>MjW2t@XIV^d>ZPR98t+v7VsVma5@29O)vD
zH*o#A6Wd(ANwvi`FLoFj_C1N&mg2rRMjVuRag3qcd2@rh6Jb@r4z3q$#<KRljf%=-
z;MSDGhY6Y=etqcu$DsL61NYH{!vT2SOz0o2gdgPyl8}_N`+>B~Ubwo|><=%76B<S#
ze%*%fymepH-s@dBeflFI!eMQXK+vSJ@bBbez<7l1#9F|0J(}FuST0w<_qq+UaGX7R
zUP=lvXr4Z3L?@iolHxqsjm5v^)z|6s%!K=drLwD7I>E%00%b-H58LUGp-afDC^Y{1
za<-mD;(qmO@3wy~7#SIjwWWn%%wZS8q!F*%OAfU>gq4OKNK41@48mB4A#$LGxbH}^
zgLaxG4|xtM_k2(9_~KX=LbZI3jCl+OYvsF4_j-0fIuEVsF)n6*y3772k@mzET9d|}
zF&cbdTO1F5_bz#1!I3<2E2|?75(+k1s~B==p@utarLbh0C@3=$MniLo27BYGI%VHP
zo_>jQs$NkpCIvdLypqyeXi`wzPyBfD?X>Cfo?<6U9vviK4)P!{NXT~vnuR0DnqUs~
zhPG#V;9DTBmPOpTwJub^X=y?mt35sZv(mRM%TT%=I-qKM=@%+x`JmZ>k9d|=h30Id
z%2xQ%WLI95h*oCDxQ4xbuCUFI<f~71t+J+S9riIAk=|SlI7#n|F&}TwNL5Yn`w9>s
z5)pSf&%wdbF)Sb?qyha)!_%|0*NZYqb8>Kc+e6;*j;!hMX_wFc9?~gxOtDqBH!(?E
zn(9e|@Us|gPT<JQf+h=%>G?Fyxuj=piDV0rDQ-<B>f<3QIKO=T`u4;0mA_?aPb}=<
z*f-8-bzgcGb!hN1H;^0ECVAg3?(eb^mXVQ3Q4AMeTj>wLk@laweEZ?UhdY<d^ST6$
zKJCCZPxX{=V9|2+>C>mj9v4M_IFqc4$1_VX59){4`kow2^<16f-+%q|>C=8MUbMh=
zwZ&ZDU0_WTzDt4YDO+0@?Wb&3v3lHMIIlia7M+um;|}40c#az)R44fEomQJ4)svK1
z;1cSWH*L!n-~RgbYryWZXB8t0OGdaYQ9G+_Nhf7l4XztEUoUdrkXRa@{-zzkkjDH_
zJp%&+M|l0&k{(|89irLizzK`>m07f!!iOyU^krMyb`RO{OV8)&(-Ek^^DMH_Qn;hY
zp+lzuD=;&sqHll{8SBbR0zjrS(S7q3bHdA)`xhrkT7xyg^SI1#Ve7GQO1BMR9I|<N
zm}k$PZ3bHz=FNY9qBBP)`|i~@ldP_NkMuUBJy&M#1_$v~UR>CqOpi~MO!H<d>gh#5
z6HBSCuJ)et0MJr2gs(>edTcu2=2D=k?sO!76n0-Q<I&E&5fc-0wMQA=arnp)x(MQ#
z^4)JGXDYUfJ^b}_3a;L}?a;pttF3CvtBD@f$|1b^`S-sae&*}TSdys{chej~YiA}O
zEKs2>Iny$$tgsWei|%i&`X^G{MM<~NswrJNuN5KK8Wxx}UAuJYQf`;kzJmv~py9P9
zDYNkyl-@CIh){ueoYrcfJHo(_pcE;Ftyx=Kia3~2tPW9tE~*8<w>2pE$;rv*;QP}Q
zLU`RL3p!8$EdwRiv)s8vU%<4Xb%RO~a-O(@eii%+w7jv-oH(d%2uGxZn<}8@11m(n
zXOJR|0NH~KJSK&D03N5Rr{Dp%oYzQ=Z-^AP?9MkAa~ydcp_F7uc_<bM<%ZZ0C7DL(
zbyt86r3qIKppUntCsU`u!o0$p7DeY7M>v(tV6pxD{pr7}nC$&rwEw_?w(bJUMSvG6
z3P=dAy;!8*%a`iQQ#}QqtM<6LZ=Cz~?&VU^hm_5!Vr@Y&xlyH03VdcRX%a#t7_I9p
zqV_l7*5{XJw#VL=-Ss;R4#P!RkP0)p3$1m3?UrOXD=FEtd^goJ8dum!DzNHm7OApO
z0j&Ghvc`M;xK9j>BuFYC%bkUg#flXcHE6f>3kYZwa<P8M;1W&m8`oLD;1mJ5@?|Ow
z@(a+r_pbfNZ>KM9{Oj+p2?1=c7;>9AK{5c346D|J6~@a3u#Ppw$v(0suFusTUM7{g
zIY5urf&$2+p&zo1{SWfIU<UbUU((};ynNZpL-=veS(N71r#-*JnTGCLU0rKZv{&kE
ze-(7tJi=u)F`5q&mmV|zZYbMs`kzD*HZybB_(v0VS%1Nt^E4)ZYj$>Wh@qEg-@&qN
zcX|Gf8OQGBb+y8(;8uS6x&s8O<K6B3?cEbbn#1TPR%|nAh)4+)Fb&h+W!DvW?B)|o
z`~F4u;LuQWXC@Al<387}{riH3`={S;bhYPVKvf(xg1p*um%{6BR?ywquXSPT%C5XV
zUKQ}I5XtI#aFj<-eX4M>K6Bd@u775>ZT)!1^M@136XQ|>B`?pov7Z4%@#5EM%RujY
zCj;&7UHJ2h4%y=e%ViERgElsc*5sIf|J?(1-w?oC3sea}OY=Qb4dT;5l|OIayLT_g
zU|B1Btw85McH%#IbX#9UQ!!`???<=mhmA{S$MQ5e3%Z3R44D=!iLW5?B=sHYg^IdA
z=<ycmWlG?VEfkkOZp&)3@D{p+{8?riS|O9V<BQW|LmPrF#CJPX;NYkzUbuNEOH?S+
zVUiw&OA}pj&}2gOdGDIP{L?kBR9JOpUxmULjL9%4(;<+(JTe!dqWHaf)%NcpcEP(9
zG?3mOI&siF&b}|$RbtqudUwZfC_}Ri`2@}R(Qa0lHX<%xQvTqPQ(Y~0fJH37lgcQp
zYz?b0Xm>d%C@4NoHo#(_`VD+)aLcHAl|M^?{a}siA~&|gd9u0s4SU=BtJ|RnBm=Nu
zzI5;D;lqdL@|}wG)+X{A1sz9jqf4rkqz1vweA({3^VARR3FDo9FT9c8QAR^MTX|4=
z1i}!HkzDFDrkyU&cC!!=5E!&CT7ZI@3Nt*+z;Ef<q|(u8N0*=k{T}+K=kv8iR|#f7
zZGhvU#+i&#rpvY5-HQRo#1}aXr@}vpd9Ax<TC*bS51mGvW$2Dw_zndsI4mr+()S>O
zmUk^^DMAlwj&73ooZ9`T%+u`n3}^&{J-{q@`_`?OTtfSq1?8^$>~DfJ8Ju+udiyp}
zq}TO2UJyP!61Juj2jiMXo=H6(fJdy%3s|#(a9LL}5yvd<oNiV4V^#-7o&{*y<DEIi
z_C<Pgt`hR{@<=mWFCVn9hy7p8;l;F)CVE|e(eFS1z~bUDFw%ABGeZu?p*IA}4xRVs
z&!1!D^76H%Np5WShlj>FYgl>t<_{11F<4!KO`GAy93!+@==INhd{Pa{+@a8Pv}qYe
zT9!b|NC5<ff|6_3t|9l2`^3h^ww8Igpv4d$zmx9Rj+uWSCj3qCD_7#<<K^(@HPg*>
z4#1G!xV#9Vseq>k%#iMd0!3^yjNuuuK|A9Mg{`~gRAc68w{yr;{LT(<?{m<aFrzTT
zCAQrzb6@l{%(@-(7{etbRB(stiBK0i@bRz)<)4KnddqZC%mEvn2zUAIr(HGtKk6ut
z2Nb0HOX|_%rz?50fciNIB$i|y3>F4=I<wzHCCvvxKoA(J6k`_CgtG@R>x7R=tQQb1
zTv)hM`R9cm&`AX!{`!24v_nj}GPpj=+XZc$h*VK_{@?XZPkB)L7Wjkgvz(mV=g-#+
z_{sBmggu{lPq++&eG-7&^AZwz3U4o{P?jb&Vy^A%nsjFJIUQ2V;ahnq9slszJ-^@0
zfo8`IxKs7Gn+LGX5uy&aGQUc987%@c;#XE*>@*Hno}}D?Tkc6pL$Zk7%kPE0{Yc@q
zTb;AqVT<*8{F^WEt_?Rju9I)}#-^O={EAK5fJMylHheFgRW!^FkmkAvrB?bl(sNy>
zKJ?RLn*nMUm^QKsK{cqhh6c)s-FM(Xy^Cadk^kKp_+Upz$BNBA1*=%hc_JAAt^yvh
zA+DOdViuC$eUNoQaefpc8-VvSI>uC(T~MqUI(Y0H@Hd;w$R;P&qNli^7q_fW-roJg
zhTyd}%BdJ8$kjnpjqW=>%5x4o*_m@4<_WyxSS!~n7IDqZwT^P$S(QHdzK*{Qr|({#
zX`?3Wosj2>9ReK0bpeyQYJxtRgviFaf}Z}YBz2)h%yT6hI1CM#(*(%Eka@E_1Y0t?
z3f~zGJ!6jX=nR;Pn>L($b^Ov9v&COEpHKc_x%Ql^yoi>ZNGY5SkSA!bM@b+6y?~G{
z04eC?nY<!ytXaZe!w`L&M^?h&25y54K$|IU-?jfXtOgK4kjjdZ>ob*WV`*8yxG)%c
zR9?(?U$m$X6_ABj;Ok9VggW%%d|BP)_U_%wEasT}T=q$A8wbnBaHy6py>7CAAXRmA
z!oq-hf{aOnx*d|c|Mv#yZEI?3LJQ$8g#P56*h!$R)M7h0%wb4;w$xSRVCq)Zdw7`}
zi&9E}=rqm3tpI8>!&GV;=Jz7FaM$}&UOP)+*aZlMV6bR0XwT4nWGzjZ5a@xpBCcv;
z%wc3eOOMZfrda6F+QKKc`~8kAn)e^p<<)_oGF_ZPdUVS?mfInC=&Y8Z1SbQgEBe$E
zaqPmK_W)(uqg8)jF-@Oezg9(w+q?;R4$@u!ZVB!7T`O-nZ@qgDRdl@X<C7u-l<^9N
zvZpNi=RI~Zv)p|>A0Ecp7P-w2trlW$-D-usJIyto@)(d>Ye9zrk_PC^^5>^#Yn5yp
zeU_9aS+-R*`akd2Q&|st;sU*fI2fV4zs?*uDB@rh8zRvm23rh+3KcM4Fb4fyquh(S
z&XuCxo@JN?Uy<`&SS|5Z)7Buq2H}SCd@XNzbb*OsYRk~oa{2Ml*QRVyvkRGAx)Snd
zS7<hNmWoCz9cN++wGD5SqTIrx)M%DLnZ!7-6(hR6MGi^QgF#^(<H4j!-dx42=x~-}
zTvY=+uK}sRG6Z^GLV(no-0bY^J~}$OJ7s_F<J2k>I&iiVtd8F#T5D$LaA3z^Vk27D
z1S8zTx>Bw)@1+M<tUI%f#$Yv`7h<v4CMe|tv#uzk2lZAL25;zMAI>UAr32qM@`cf`
z6<+XIUFi2Wcyk9EI?UX>abx8z^vwBmWd#Mbd-q~7qeJ1g4TOM*7~7jSec&tVO}JM{
zvmbY}RZlvPzty!-*+e#|zqwEK0t*erP<|Nz>_C>bL#=y!`_kV}4>hE<?f?1;SKD>f
zMv07Umf03Ljkm8Zy>S?O0<!>8Q#1h4*o$o9u&UF&W%KC)FJCUa+G7Bl!jW;{_oq}0
zHfDJf0BjKlf%q8E-h@_2d5hS7`03+Gxr}U-+OEQcIiD1vFg4MYM_jXPO@3n=4n0^N
zkHT98%|A%NoBIjeD<C1YBWG{D#z=0g^uuBXqSYT;zCQN?Aop1=?mZ2n9X3iZ)6DV=
zd-jDf!J;Q9ORe5OUjZ<#HCct-2|&mz<b+6r%SIo-CoCQ&4@^l<lx;LjhJhF=FwW1W
zNWj5MN|seD8e|bF-24^J{DWJ`o1UPm$xeycjm~aRlG00EG^GPf$WLmvrA1dpY;!tk
zg7DUKlixf@@W<PjCg#rc1_z7P5v$(e=xZKxFH-qlEa&8^`j%5^Xy)b+?!H$qUZ}xP
zw=kL%T{CE(0{yud=+~pijwKdYcC2-Osj6b^lx^6Z27haawqJMdtDq&%p@hq?&wDfU
zOEjSbH$B~Z1O{LG0%agR7Cin9kDhSz6X53`a4w<S{}@>vWTegpAQ!Tu(YE0PrFkjm
z=x6SLy0B5?GEnJ*+?qj{NJZ|;b;P4i>ZP}Rt5k0EzwbC?-n}7k?b-lOv33Pe{3}Bx
z!sy8F)#D>yZ$qF+?baN077KP+npa@IaG{QHl9km)l|dE2()qV}Q*H}l*Az=Qhb4R&
zH>u8C01bmuESn~sLoCEAFK%-_IaMv!k~#Sfd3T(N(Vw0FOKEu=?2G!Pxoa%4irnmJ
z{v&wX;Q~_4=jDw2g=SpTb`9AjAtME$jF)uF@BWQFvFkZE<_7DLB})Ry0Y`>bCls@9
zzT7r+Ri8^ttlLG}DN#%@^-P+--ymP>!{&Vc+_60svLE{|_51Dfp0RV|*1A;U7yB#}
zSuSJsM%I-yQI@R7uJS;4IZ}=>hwfC=z6rcEkDdE2uI1L9JL_9cSivMq6f?ee4=|Ie
zni>#NhUO55C=nxM-7Wa)ga~hkGjE83>J)-8ykPo%eAac}{@*iL#bA{KE<&QCDpY@$
zckMeet*yFx5Rtm1i=h34kGK-+e^T@em!;$Me4}(0v<t>!s`zwizphPl{PXg`AbBs^
z{Fc#HYeG*V;0KG9nV;RIZh0_LCIYv=)_p%fqE0km=8L`mj+zZFcQ2HiZP6Xz1pOp5
zly+s+flK!6&c{{#Z<aq@3UYp`{(h`_q0LB+pVJX(Osy=9zB24t5fe%g%JcWuQ#(5s
zcKPu~sA-ue1!Pq}^w=mw%Vs?<7%p9^E2dBQu{@CbKEHg8soKLYw4;zT`Ih&jtaeeM
zBy0G(r`6MFr=az<i}T$LtGL=aOYY%<$VD~>FJs?n-JuSnq2bq*l*Q>J#(DR$XB#EO
z7jl2uoZ?ITM3c^WikuH5gCGzhuUI8@U=fAGGde|bcytSQ#6EowN#SGj;pZ;2MFVeE
z&oFaS)|A@N3&nTe4=ElVMODo!x}6@X89G9soFrE)LgF`d<(Vqzc(E1^+z(x(y9RW5
z%?G<cBMlK`=jO&0y9f90pF2~PtBnr~bZURlGjF!;thCyAo6U2$F<NVhZ^C5rrXN#t
zOG|BQ!SN$U)W)p0Lt-0{zJ2>P*O^OXH9>qYrTOO#HyR|fU*jJoDF6ldNrGe3qef0i
zc(PkbS-E4Ce+GvxK!i=8WAJmQcOtSk?wcfXkr9Fft8(VFuF11>)_|&34^K0T)Vj52
z^FVSIvFG|r3bmCs-j$d4YcMhCIK&(3=pqm8Ks$Uh`g(YMVp=Buu$QWi3BApEp0sBp
zG>>QE9P@@;_9X(7Vg{_N7;eomvm<XfP|R)a{-gPER%tIiygG~#eT@6I>TpdELNzZp
zyFRA`6SeBQ`WT`X*~poRM*d?2IXL$ns8HA%@l;NLd?0BtF)@j`FC=G{Ep<zffUeNM
zJNCa4*;Rgf>!WTbT1gUg16bU@P4N4vpN^NH<-4o$vV`vwY>Ve<>nFPo*k=grzYg4M
zV2}szPb=60ly5{hut2joyypHr;M3S86y2w_RaM0gHAJFZ=NPmBH7l$1sp4_o`Y1_K
zt6L}@k6-Av%o>H>U$>Z@4|ITaZ>e^G<kC9~3fa*CCu(xKWLk>JCk7gm`8PZVvFIGk
z7FsBhtO0`KfXI*6mQ!1l2Rbn9d8)uKQwe~4p-Ot=Qe(^YgD_ZvN;V4kqb>JAZ7ZmU
z3Mxvx0I{aaH;K^MsM|<_X5X(s7p!&BcXZ6(fPy*#CA%HZp#XdwUT@sk*mx00x}EtZ
zzZ)LSYu>9BB_7K*fR}LiElvx-r$r}{9fLuq)Q%Ijr7^+WTB$IN$;-*z2DR(4zA7(}
zb3iUW61MG4M+w~TG1ujlm9?NHwZWL@G|{O7OfCQZxC$vy4q}0C*Pkw1jzV7zGesKg
z(O7fB3zSxyuI%`89TkRG54r+U$6&)m9THg)+(MJyI7}8XC<EsXjJ)9e>VIJTSD7YK
zY_b(<;(+%8Udh*eVMJw23MRi~5ML~3`aaU8|3ymshB{7`aw<n%$gKzQivt@VF(>!P
z8WblC7O1me>A}BW&F}@9K03U^hz#t=BkPm&h%aU^6cI_9n7n@dI+bhppO<Ey14s)u
z@4nC^i{9#FZ<#n*xTnM=1f%%w;#Gqzkw$lr0=@-uD&V084*h>orX)~>Hv?ER0L-RB
z2W6IY&xho7C|ISCH-RKhL^kH5Qw__BQOE}31`8mIMj`_nTNcU$|N8tKKS23IiO{?^
zg9`yjjVkrd)4dsRS15r7AM4YesXuP%0F<W%*a1KmZGN<U_d=aOV=~O#s5pU=0k}=-
zGO&zm<jsvFKywt_l|MIVm#}B=4bB565aCu-_Xb344uncEb&1p#Cwq`b@55~%%Ws2T
z;50XY#VvK2uC32E7Pw3sxRn{8^a+YtK{}4j&d$CP^qb?Nq0!o3esg9B<`toPpZBmx
zx~oTuIiaJV28=AIybJ*hc?{o2NK}r_L=g}-qLqp28~}qwKIv~=n|JN!ibval=ve@~
zc&vNsN0Eb0scQ~QfC<b(7U#~Kxwbgo(E+MQK5(O+(SsN)d?x%4!ovCd&9*eH+MjkK
zz>!^8%%RczC)-;@7hDhvtHaUbFj1(xx_)5woVf}tMsf8Efc9GhdwWP|C>IRQ0aa>u
z!@s;><c5L+q*({-6B|mmj*gC^op`7|JW1E4NCv2uIOvdgQ(bsZNUg?Qnuz-G#kKBj
zA$i`rOS@pUX9bCC3^?j`nA9~&oUJ97e>mu=|6Y2n>`TU9lR?1+5|mj2am_}z6^e+P
z1S_<G5vVGy06Ed=8Q7lc3HwL<d}g#+7|}?jvbh>=Ab7*USdapcD-~em+FUK)lOo;U
zpB!`*CWG&Q<vAWG#$@09xDCed+W^*qq4^&Q&T*pi(&9){<$&L#T)w-sNLI&q8<fbP
z*RS6{eYyj#d(Gz;!J-Wv!COIzasszSk8A%ccQ8W)<MD@+d$w<V+57#_Hr@Lk?Z#ly
z;R&=312f8Rwr)W+XxE)EGHq5>e-jAwTP6m`L%8ZtluQ9?6J1{@5LzH9Awc^G+Wfc-
zl~EZbuwjyp2NW@enknoXj{d%}J0y?<--D<MrVns}gz6ozTb<$V1Fj7n)ZWXoy4^5s
zj0(m;%|tcOKukh>yct*xiWl2;2c1DY60&S>h24X{+H!%3Mbcww3%!8r0g*oVr}95&
z``;AXw>FxPgXP<Lp*g65Ed>>{^TDnF8t6FqIM6<Xnp;3IN&&G3)PX>BXeT@S7$qx5
zOQBi`8m|DQu0cR{0Nq5DI`wChB>$t)2IReKkr#%v)3Dzh*b^c)TNjm`eUU8YTNwlM
zn>jF^_;?@<2fL)i#B?CdTTr$Eikv0f-A2&wt?=eQPtm>wV~k+Y;l8<FS{321U!TH)
zalzn`^*v)_4s3}FXh8MAwa3DAYzcbN|GYC50d5~351SFLx7W@MCS>q#5HX{}(FnW+
z;sS#Oq|ck51y=>wpYnGau1Wsz;WD<o@ymGD#IPj8=Rtcc$R!?EmUaheK*54!491}C
z0oVwj7Ku*4!oXE%f_n&qMV$zyTEAB#8_9-2SiWYBXL?{@Ky_IShz@LXidxb>>yUTv
z&SB9QPg&l1=Mk*Z>(kd;Q#H8JQ3#DC5H!)Y0dGfnFknGYosfZ%G3gDv?5@;5ZST&l
z|4n_#_cSVs^kA?6R~=#|HM0zOun4NW{rLu4Ik|s<JBo+g0$WGzq_ZVV`)g2z2JDOO
zgBS@a5~^>~`?B8_`n~iO_x4w!{3-?uWMs$JS10JKQ9cX`1bgE+sJVd{#VCm`kpq=q
zfc#5A)gt_Yuk`xI=-fyAFo0^|Pa^cbXMwhW{AamrcLhY(4s?e>l^TWA0iIOL)z$Ts
z#qSXHeuge7>|qF|$8)|Os$md4tHcPMg(PbLh;;>aKd%8npbwPbw-(usOnpcP9_re7
z7McbH(E35;mdB$WGayc&0P5hufQ5)afKDG~VY%!7+S}>q;aKR_$so5q8r#xGXlO!0
z0lKEa41y9qCUx&(m;_7)NSV+uP|ZE6W74?<Rht1msKBU>Dq(XyM4-b#H8#Iuxx3~}
zx$GYegyzeG<32v8h>TF@e=FtmEU5^D9?H0k^_HPx8wR>#XXl**$1h&7Y)@|jM3K?i
z+3871*31Zldrby>l>+UJI0*xJ4A{QLU_wFHoq>tT?RfzGhlOpze>IFdz*gF3_I$b_
zD{I+T@dya6yD3XY4j+yMe3k;qk<iWhLGR*!k_XKNKkq+7{r{Cep8q_7woSDE@M`_^
zxvp_7iyy?HFHeI6N_NmB-1x&-|ASf9DprJF^%MLwdSCyN!`te{7i&!Ndh6b4rZatL
zKJ-^+dS`ST^35cKwr}5+|31M~)p~99Ru>z?iF<*+QXhcS<*j<^k6^>G2T$dkaCfl$
z0Kyel^G}U++;AQ5_A6XLRJPN97&@A{z!*Dc#QXgUP*_5M=~1!*IK%T=nGxLt+bnG0
zS+ro#j}b`(TRtdVkPN$>q&YMqil<8Fl|)a{Lt8QURI^W0ldN$6^k1py3P1_PXeoUy
zLtFuhmLL$hMMbsCsY^gscE<zZr-|0>cbANTIe4OqT!(g{$E$UFZAtdw7-$v`QkQbq
z49@&jmua?HfLQ^>S{QSvacj`=LB``EkTT$MPyrVo4|OFKWJ+{}-qPJ+{v%7%Y%>8a
z&wX_;1Xl}W849gH`2`*p?k^n_O-o26&|i@?C_IZ$4Z`%Cx^hkGnc?yw!|Eqg@6!Gi
z8~5x1P>8aycoc|@6q0PXv#mi&A8L%|!!q;Vmy6<}0iP$7u9Nh#k8pM2BFcbVxHZ#f
z%9db&2a&-HAQwK~GPCGwM*wIyfCeTkN!do%MWIrFTVoWsO=bz#Y^d&;z;!uI_v#x0
zE&Yh%{QskFg(l&!W9J)AmXdMHkv<36G64y41C9cYpxvQSG6_;}m?Slv!wQHEBvo}7
zcR=VyS$P-;)-(j_uA`xZMyj{>WuON^_qu>3axw2~0ap;H4ro)X<twktBPJJ__1F;f
zctc7JY@;T5Z33yBrlg6Y2aJ3M=>U_*;2t%A3RG29T>#!M8QLdt6vMj&=ogjm(Me+o
z^h(gw!1Ht`t9+vv<*T{W5(hjaz91=S+5JlZI@V{a+TyWC%7BMMHF-eRXp2He1}Nn%
z(8TAgLU8FYK4hXm302`{epbpWDz?EDv=&%uK_3e#HhJg!H{EI9uv{>J@htUr%(XY@
z7~s?>xh#i=s&@P}Ggtz7U{6ojd_b<^9bpE6T_;CRPzM)A;sVA%PHlq-K_xg)@F0*i
z@C%=hD4Rjwa4SsFNP7#08f&of+yV{(S|CuV?f}RK9mRwI@_;L^F{^k^z_R^9*~+gM
zsCNZ0O7PpaL!{-$JL!Vnyoo`5d|(o)b)j5+g6uM{etjAxULk^-o0}KDp0Jg}e+^*E
z0!n#TsmTt;|Kj-`s0{dcNTQ=2;Q*-QREaIjE0rdBgKM@%&^6)*YeUiikpV6|bm$PX
zpxJBqUQR6hL_NwH^`7*Wd8Ek)p9eF-8>8dI6c(w~fg@O?87^u)b^IP&P)o8(oO;eZ
z8I%G+(J)vYaTHdFO9QXf2MLLZV;O|r8bW{+Zp{qvJL-hmUwIp#_uBGw7F2Ed8fmlT
zB$FL%rhl*(?HfG)3>I~K<`BNIj)G`$G$_oET}n!dJj3rH^%KTuE`*0Cqm%kz_m9<j
z%kco%a$vg6>fT-Q`}f~!LOr-F`LL)NXii_+YkkGj5SZT*%qUC}w8=+94*$0_v3f=J
z_;_Gg89c%#xM*YJ;-09gJruO<l^}Oie)`mk`emB|_spe}%RC5CuD|v|4Z4N8a1cq)
zx<B&YiSJ^0Y-_^K6P<bo#cNlSU@eK=b6^hwJ+YC#TTM-EyN<wPzTXud(#Fos4E&(+
z<R{g?s-wul;&MXQSLX)l^t8ZG#DT#Kgtjb!v!><q^CNVV&`@{BN<>e*?&_bd?w<{^
zAUl^xk~<DmA~RW+-}xN+t1JBr$Ov1*Tog8Mq`wpF)x?w?HbB)Lp60tvYjO1;CeZ7k
zMxN}Td^4;!NR2nZB4Y_(ibB)rtClc{0i8mdGJdZs&MJgQ_wBfm=_+*<D1^tV+iO_=
zlbvq>h{37tsEZKIL#memS-b&`4a^6CVeK<&MPmhl;U`Z*$<~!lrRoEgCuW)6zrS+x
zxK@Tv+wvM@-2ajnf2)gFloh%%R(!|VdjklLoe9XDBmZsBr;Gc6-m%2T?>%zX4DjyG
zLP@(mZ&t4rBZxnk1R22ik(327imgGUy5i$8WwT#T>|A0ya)do)rm3ha%55mrGfCnO
zXoZ**Kv7_?StyI@8U7+<3Qa`^{aRqRG1wQ!c$!fYXDQBnRZZY=z<;&Cp+ny#1%@+x
zJc_@Y<FRPMft(PZjx=R}DA)omkPqDUy!ypvK%lHH34u)-+l)%wXw6b>U(W-~TMSnP
zW`TX_?39n@wxzQ-V<s`9;I&c#4Z;xyYH&Tfgj~>$MO%exyIfBMv?q3~J80eoU|%x4
z?D@Y0%WbM1Ux17jM8Fe(RRv8y->Qor2Aq}lq@*Ov#wf`!u-rqgtH%=Q`jzYVNd32Y
zt>6vL+@dI=a7)@689Exm;fgS!-239kENt}-$_Th=QUatm?g;B{9BPA+S{*n`2*`87
z!kRut)i#7QsGcZ&Kq7BwB6kmf#`_+FE{gr-lW1}H-Jl|pCh7P}-zO-9{ILU|#!M0c
zmdrN=HGpe@PE1Ne9p!M!0U-NnaLR#)7gSKx^xq1S^fpy3uPFC1E>u22ZF37r(p0R9
ziV74cu<Apn0+xvx5wVE?qWeXg;lmYOfyXcY+p-4$&7qtE#;^d}IB--?pd3M<q{5<%
zOe32msQV(sz#R*!<<6xehYq3e+8i8uV8=*=PLECz=#NqO3iKe|4`E(jC5V=0km=IE
zP7d-^?V$ZCa`W);0ziOquzRY3IYI;KA3&QPrw)DetN|=>m&D|O%I`4W3V{+VWYH=I
z%iW>p@QT%a<TR|R862sgP2rXXcNc0ag}huC2vkl5^aSVv^%SC{@+&5Ro2X|39jMbc
z{3^*|hxB$DUj2g<z1d(ON(KG^Eqn=6aZt?MLFZfqZf00p1V|UqpJOYmLH<jEdGM&E
zG&&Zc2F8hEbj}8e`v9Ai1bOk<vuK&N0${?<EE|HC8a0bRN#rTMg9VQ<pCb-RJT;YR
z$mp*#hvv>v+Q5^tr;vl%e+D0hl;qt3w3-!vb#$8Sb2n#nZh*rcR+LOV9uq^GoahLD
zMt!GTt(FEXu=?d4Kl!IkPl}FTd}4GwaZ+TMSf2`QDRgaP_q9_~dmnWY>P>o`z}#gq
zIseXRN>VgjyTizt<*k&j=#H_=*RIte6!&Ay%;%?{^<SK44V>>5F89YzlP}H+M9zoV
zCtI~18Y9|IUoxSxxXrro2#jBxrxL<Fr3(x%JLgT0`}3>$0&gu)o=0;<`(}kD^u9y1
ztGoR>oD7&~lamA?Y90i@;eucVg-a>>xGr3{rNTIN+4k4+lXS69w@8Rj4=<9nmr_8Q
zB=VW~7`<CM=n`H(L^*jUSX@Fc^z5X#VAa7Fb?d&mMfQV7H5!VCn=GsIJ?tACj$8aX
zxM|-TSi6lt(odb-U%99A;fKmkw@M0YgSk2TKRtXJO)rw-N7vyz@Jy@@m77!}G_$I#
zy9-!AcdMq8;Y>;jSC^TxBq7$n$}iV#5C?NfgO`lTg~NHYl06c<$o%sq_?FRis#n<k
z-dE72&Zm~HE~_QAXs1#}zeunOWS*lrN7>`b^9xF7!iKD=QeiwsX2<)eW;sR0;PC}>
zY;)JV>6Sv((&e;n5_r^Do&^YUF`QU^5KckW)g-ZQC3V`l1OcQ2lQ8(uf<w(4I&4t)
z{mDBTpc$AO=b?ni%*k34)cZ5Ke>_UIpWxspXif$VV;Q%%y80rwUk#D*ZKT7U?o(j&
z+BI>xuCy=^j~}>{yWtEMBDA#x#q-x#e&VrO^1#8LOjy}?fZ+^vwoXb&;9{qEAWA-N
zWP-f`2|KDawVd&9-7U4D&;1n5V=dE3KeadK(Bg3`_17nAtJB&w79)H_V(XiTi1Zep
z-+INn;|^1tG`HU#n$dY$)xWn+nOkxFc~ZytBFmEw%deeH>th#f_t;i6q<nej24_%K
zMYGT6WyR&*2Jba{<$#C1Hex5L_o53_)dz!NvHs0u<2qtto~7`7ca6TU`Ga>}0bB~p
zI(hF_H^OmKwV!b5>8(bK(^fRM+h<?@5y!Xk<c}xtP5rh;-@I$DXy#=9o7Jo{9a8F@
zc=Kv$?3n(#p7v}DuXh(P*2ytp?vwxTrFTIbS4wI@$3ohboc)1@vYdf-vd8`(_;mnL
z|F>&r&`#jw+Q9o$fTK8rJ6#s_^nzA_Dg~e>svS5Xe8G+cT<$m+2rlGr0?Z!)vf`j)
z7Zf}6zf3zV&x&x^J}}4)yHSCRM7=WLPKkrUZuaBDLnxbW-GIl7dZw-||6Fw6uK9;G
zM`-Ss{Mv3%d9js<^FTQhP?=Rg3Wk{ur9Z$KUN-ZIuDjSN4GtZog8!MJvk|q?1E^HE
z^T#jZ&E3Nwz1tQb6Y7OTkK{o`4eGH8F**)*3N`3yi!kEJ;emhB9FfxxpY%hx|IEvJ
z$h~;Hj9G7KQGB}jF&K7kW&Uwu(Rj&L=<W!p>er>GqZ7#4qF7coCwn|z8#v*lXO{Cq
z^n~|zy_REt`r@BM%-f{Rm{b1!!8fQRH{RKBH%ae&GgqOS?xp?=_Oi=+Y7$gq3cu4H
z{pZcT{Xyau@>gVi&*a3@a@@UAjo=U553HA>tZ#Hq6rb)=%q{uWH9s*f6c~zW6m49M
zn09Me_GqApHp0DzGtV#g^@Kt9K8uBh5DerO{pB8j)6tZv5<VDB<t!~N;mA;6e}J^q
zZWhPe=YwlBL)6mRcHxeP?=IN7<!MYG%MDXgQ(iDMV7?iyBVP>ni%o)ZwYISVO4%S-
zYiij8B=F!E9CC=J=mB9PGP2HBwx9~mo{N3s<h6D}E_zf(c2QR|t+iQn!i6ae`r?BS
zCILJqO}w2^T}GKjK)79ndnWUQq|>eQR;!VUid?@epCl$G5<N7v&Ibz$F|-^I5)xVj
zV*`>ZX0BSiPiG072!$)lk#JnlJoHjgDJe(TOV0>rzd2c0aLGc}!rYumgYxU{GKuY0
zf+|za;yHVA6rjZOEgtR0&AMM+setlc`||B8r}flqe)q9=#nkz>FlIUuL03nI|3Sa$
z!=B=)j9X>K<0Czs%pJ!xzkU_d*{8eVgA5HF&0%0ZaY972*TTkz_q|_~nBPQyS|BH5
zdvsx8VPfvX9!{5AyvgwICbzooRE<9iZc?jS_*t&JY1p}K=ESyMT1OX`;pxqd>6Z5P
zw=K%jlDkjZRUAvQG&lbiy}24~3VvS6C$0&22-%^Oq^KIOe+8OGxt#?d8sfk)nh-KI
z@VnxSMS8o?Srq7?d$Yb$CEajH_T(F2&5(+~Vdpal{fd;LqGA`2ExT~IWG#k8trL%y
zkEc#eP2KOGlf9?!qb6IB<&QDHknR7=rc9;PTDrIB$C>eSa}Jje`;|V9(M(Hdo}QK&
zEtd{ad4sO3=74azFYXdk7rL66nrSIkdI7QH$xCf2Se1ZRBPqs|VTV#7cYlKWQvJOu
zq_*jOwV2<=$z#P6D&M1*$c!&0lx4?$Bx$BC>POO7*zR#9!*>k&ac5S8v5Hz3EiE0r
zKEO#BWi8g_2Z|6V6h38Xsv{(_m{~;$#O$!Y_|);4MOfzif`S7n{u|8QB(>Iqyy9YF
z%|#Dcy2VL!sj*4^y@ghWq<6@DokvcNM{_4I<|&$VqHU>~X`@q9N<ad{d{ipXVR?f~
zmFpK1Q*Di7>&P;Ueooym2m+oeDI*VpX>LiEYfLsANL%IUgU%u#w%le2U-}kz)zWhO
z^)O2cx&k(~w#qKo8-E(f%04t!_wexOZYNl$8{bp?-lPD3L%zD$ZeG?fH`MPWmVqXf
zPF~U0>nSRJf8Kozf=V;XQZCo>w9~@Er7u0~u?cCG>L+cToERM99>)d{!a6b)RYdR>
z@D)zi8k?HC3%=lXkw~PL!We5~mLvGb?nz5aOZgf;o1#``X4RP`$6BIkUYZcs#*##S
z;3jga_-&EiQaw26Rk`7uy-X|up@aGP;jNTj+v6%S#x@1eHAXw%OojP`?<S4{F#q*^
zSFIgeudsTqD;UrDgE|*d9)a56d{5fTNm05Q{pCKCfMNE6b}k0H%Tw+ITFNVKzgp#X
zrTCVB<EnlblwNCk7ocDxZ4uA@6K=C#7)6S955lmR>pJ^O&;A<+7GFs(egS|sg+7H1
z{ea^oU)LE*`O4Sr!8tvP`L?;<xOpFF<Lycwa7Ok45H=GOmkiBXeV3kKIH_n^;YNSC
z&l|lpcCCwBS8&r<s&6t2!c~W51^cZ)$2t%p6c!o`jT>&dALBEK;81uw0I<9ou7clT
zsP3fW_p72q?~Lb2<y2CN`g!qUNAzRv?q{B-od#>S{c?}XLAMP!IWPpK@&-sC$;TSM
z*QMuO`R=VobVWOm_NZ81ws$>k;HJAZVsXBhrce>s0cK{O=qjx+KhnUfSFg-%Y?SbV
zP62qaFh7ca9Ks@#tbYC(4`DO+MS5KI65C#Q%`=`71Q9%pYq>2XA`;>ueyo#onQS97
z>5HAk{gh+=9cdO8^49(CNA+drlOf9}ALJiJkNWud5DP6cU*W}4jRVzihqPK3jN=mg
ze<JiRBur?J*Y7ChXliceKeOFFBTXQZ{dVK+TkkHOex;Ul7Mti;s&ShEifzvwS<^=y
z*~_h$VzLKagoP6|E9_64I6<MWJ0C1>v^xy04;NU1JBbLX?;8)K*b>et6RQH)q*Ir^
zSQLoGuR_E4H$(OfWeJW8t9E^0J<{!WA};Y(C_aVf#Q3?)mr-Iq+1i!`Qz{Qj3ru>}
z9;bFLxTcj<OxwAyy_<c;gIqT@E~dL<bNzbd*`M}mR}Iez3kn|XuF~REx{xjnXL#%l
z5wRTHy{m|Zm4s$kZjS%28YnY6r1tgn$V{lv#6^1(Fuic%>kw1jc}U&lhh=eb>?gXr
zp|f;kZPnmz_i@*f)7VS9BPE^Ex$k#j`H5-VGB?uNEQAVlc!K3Q;CFrfFDIR~(%OiP
zSG9#)9OIK6h8h|g7NU4T4A=Ai-rF066doAt@ed}D&!;O-O-xLP?*R|x^{W~fpma|_
zpMl%=5j4!uJh9biK!tF!I3OAQ(%;|zaq37)oHcdemD4S`ecfu^B$5EpgK`~CgPs%Z
z9XrWUr918?-a9sG>_@qvJTi8EAj%akt*58Q+|2BFOO>voWk+Ii77~NzzGMyuHW#=H
zSVq_M*0#bN|5>b#Us{}znPKdb)<VcGnz&$Ckm8aOUr!Ac<iJj^{w{>YZ+*zAMQk6p
z@#jMGu2zczqBmhgtfqJ4)y`?zGK+#UnLDRdGBg#+Sh#n#OX(CENiIHPFJP6KCiTSG
zr1NI_$1GivIXgw7RuRrDXDE&zFTve<L$yR?0@`FAP6>#OANOy{Ri=F@%$mC^FvjD>
z{=mT&;FFneqvs_9XStgLy-#}u-hLE~g!%ElHz-{l3NM;(5T7S+Qpx6)mbD;|I(*v8
zIglLZFAvU^ropXDbCRnN-v)(0Oc^((24#DSQVxAg7|gO(#O1Q-LAH&bZ2Uk5ZsXp8
z=I+=VUBUe=AVJ$hdrT}T5eGkZ9hlhOPJ1nvtb#QhM)<(>$NwN#SPsw7w}1j2X;Bac
zxP>3g6gHsJy_QeFqY2NpIm_14+4&Bf0>c1pxQn-x{r3%fTz%1Am02<+k6-@@-)@pc
z$j=`Dv-)x%2F?<ER{Cu}O-8o$8o9zj!aRVUm~T)`3NP1#HDm+xEl^pi2x%GH8W6tj
zqMg223QQ6f51LziPR_#@Ev1y6X(jvxIB1>Jw#A*kJfJAUc-v%hauVxx<d@Ai;1B~b
zk&%%pnrYj2eJo!e<ePsJ;Ca7dc{N~jC7^Uza+>L8fuzM~gO5>p?f3lr{QETvqgcF%
zcsm1%v06mhn-Iy&Y<}VPCe_Y45ka8@$oBBCu;%aI=X+EWRIzGmmwIkP4I>Y~Pfz9H
zNja830bJbz6$gaMPK`JDg@q<-19LW2-5-WNtqp9D?0$UsC04nCn=|{~(<3?HCTk(-
z_k*CTtE&d3fX5O_fsU@OK-mLhmaL<iH<ek`2na&dF}`j@S%P~JaO)SIxTDp|nF1Xf
z7i(l~^uTJu`0TO5^~|B6{bgEA#b3XERrDu>g@@B6LsvgTSs9DRK3hxzI%9HNnKL6&
zeXE8=Ls>9nL_eQ>MkTq;@A4Dc<J29cm5`u~F_gPMZ*E>8l$3Z>c#B}k$RulFJTwZ`
zl>IR^iW+AXm0Gw=_fv2_`4h{f1Y4Fw5#@U6vgKdb##X-PZ+2)^4eb5Kwr+F!!Trt9
z;FlF=S#rM~^gQR5h8yN{Z4Ocde#V2hF3Z`&I4NW{^I-;it};W)LvmNj(R^vsIorbi
zH!bvBR!Eenk$Vck_`#>A$gj15GOziBpYdP!KC`YQhr8cSAsA)JC-C1JZ^|ZbJewpP
z2t1qQVkhR_QMr$zS2xlj%QiFh>+6{QS$gaA%v)AmHsoH@awz=PQL3H760wVYL@}MO
z41@!wo0|J3jhPQ_-evZpypJsJdmg^ak1gEESt<PCXC*%4jv;+NYj9MP)$SlVp<)HL
zJ<=B^`#vpwkvv<PmgP@%=C(165H`QxfCI%#S2JbwwC{wh^qLBB<{968VET(Da%&-$
zA;;#bko77oe%f<beEY7g#?4zg^NBXZ3H(YXaGaLetBIpyb4Rge8dIM_>argma7C@k
zNy<Ik2-3p{cb(j3@x+Ts{53#V#;c2R-=$l3Q?IXz_MVrfjt)WfqND6QRbiHBdeSFF
z&BH5?0FZ+=X>?>nu6f>J=A+W_WiX1s141OX6MF$cgHU%Mr+KaE$B!Q!Qvlc+QDwzW
zX8#vR)-Y(2trkMj<LL2sRWc7^1~X<L6!*v6_dH;tNGK=}!ZunzMbAap$;4f^4d4H4
zBfSddQHl+1b8m0&@(a$I%2`dEU8#nbKS8+T`}fy?LkdRtX>PI{)IQ<UOTkj1yeJhE
z50;3R!5I!L9*#x0{FlK{4a}^qCp|9Kb7xtt?nO=k&yK~P^ji5Tp253?I;{Sgp}(G>
z`VIK`C`=KUv_w3hiN#G9(y^`g?RK%SMqhP>dIZXrwrONA)G0W%F9?1EOET^as%>4+
z$v>yBuOBL6YXAoxwe1qN-cUCCy1*z*%*led@`cZ&DORQkoB|Ff;Bd6f+!|<Gk>#u5
z<y^^P=!@S+?RAx{2xR&9{K?kSw9|V+rEu=NANn5a*?rt86S7sXULKnI82Iq?t3W$X
zF(g$L+NTWT$96aeDAr~HtFf;GI#vfg3VF<CSY()-oSYH};{bnnKQQ~mZW23NTZ7~i
zRPAJ}vNlNBF)^p%l{>Wr#UQ45%`Ggtr&d$jEWor;w*CD1XsFCk@G)P<a^W9G$HwIE
zop>ACpE2h!l~)A&nU53}9@F1dk<8wgpbpe>ik@SW3>FVZiH6jo*VI2UTsq1b<$4b^
zlwcsphe3znDL(1bhmINGlfh$(#!}Pf9v$?2-{;q9fHoAVwWffxSS8WHp!FUyRsSP{
z3LkMHfo~8bUIqO6y!566XuO8#wMTC(B#BN-m(JrcrV$TsqLBEQ-l6Lc$5N7pK>w_V
zqY`uATFM@=KmIr^izo*AnK6C<d|Zui75Y|JX<q6Ox9tebVdX>A6ExG>{CKw&wvlYh
zBMsMoF=FxH#2D<E_HsdQVUtq68J?M$DJU#Fgq!v-Y#O|{gIg=J4h&RyjK^ew797#g
zL$3)i24o){7T@09K0%~R?bNzaw$hg66%11n<{P@xFl{sF9U@tR5{}~Wz!A2Z2_cZs
z8^MyOnxbwGPOoG7^w($5aULWPWqe(j5O>K$uEIwK+KW1Se;do?Yj~Jx@Vu;ux?0oD
zi^4yE8ZUzW6^Joht<lO|?)5k*M%B>L4+g^)25Vn^+IIj1fOYSdc8h`tIIp7(r#|ol
zrSlE7=1GyleG7n_YJYuskq3s>3;M-^FztPN$t1A#J^%tWa8UG}d_r!d<>kTy35p(s
zS&k4rd|ZH(`wJv%Q7c8AA08L61><KwA91Ll-90hVmU;q^9Gtm4-dsxPan`kg?uyn3
zk`Nh8Jp8u3r9>p4-CFENAw*>ZxO8t5CI#NTF)ML_8LJUxFyKt6Sfli&ClsJO2#Wz1
zuVEMa9}lY@!12B9#NoHy7qQTa5YTkf(NUE%+S4A|o3Hx(oxACohS#l?jTak?E-***
zzl%9Bn&W=C-|=4huFf|*N+;~#%D_}93*n3(fE}rqVbm8Kk$}vxU1Qr^sd9rS;0S>B
z!lP6I`pr7jlivGo+uh(q^Bim>3I@a1H@UM)@mdCMdK^$*442?+3_1ZprmhKRknf1J
z3QzWY)$KN*LW@Pi1bk%kpqLI-vj@}}ZY~;%e<a`3wP>_%>**=$nHLeXTHF4nsZ`Oo
zMHovZG~V?gIRg~b3B2;^3}V@(DhUu26uMfVdF<i28v~G~wLmY+#!tE5gL|zsNAK16
z&%Hj+amRce?bUhNMkDUy9l~M*yqY<zDLkSe8muEy@E{bVL3(qY$DnLc3H0m+_*8Tl
zJPFgDZp095b?5!=N9z#p9$+bHP{(}3az+LTG+btfBmTDlj=+Y@gCIVDav|XH3WCgX
z|IYnpBqxrva3p%=hCdwS#Ypac%fiBfK5oVyPI?YM=ZvZbmz6`SitMWei?%=^e-7jc
zZyZ3lG()Ndh>kz&BE>~OqZ>Jvbi$hC_`y1`)rGR(1k;__0ihj&5@gt1yPuyT>}$BX
z;9t~I)YmePt$h_Cz5#|)0LZgyh^t)^kEX~z*v98n(Bq=OD0K<2;0>weqQ=2+^12C1
zh6S}{>V6$t%NMxQop+1cZua2MvZcVXRgHeWb0C}j!)`uty=mpxjgf$jbDR-&*U&p|
ziQaGwACl~UDZp>@;{!1;&;<w#^dUcJvJL;s?tgp+=e3j<y;v4_Dd3`t^u=`b^T6wG
z^^v>=F>Y+5a@FzTjY(2x=jHTe)Z;l13YRI+Wvg|jQUZNfaoUBWa)pZg#ofb$A%^If
z+v5@|++0YQM3q)zU~T{}tz_WOfMbYnzRhCY9eu=E)8lP|Azz$3>x-M$B-yH7Cg!-u
zSB<*xN?+34{&EK`pSU_Og($C}em)poU(QHJRr~-PTOlW|x^z7VK^IdSv^97VLqWa4
zW>=%vTPSf64h^E)H;yL%=7Qw#o&)S`-@rp6F~SeCW^^E;EaetHb|THsrUgap*tuo}
zz5{ClhR*(Ab{K|ZlS<G&rKv5_0I>FwsH}^nin6*Cm~_<B+UmVB^`Giwyv_0)<i_F;
zA}f_oHcmoWSgr$RIs#J!f;54`nFQ^~t<j@55CbUV_`NTS-{5X<UiWBsC^xtn$7X$j
zS@EVZ>E+uTcT@kC=Q+%GFGE(}mWI9oozOmz;SDc>RIGwqr;T`|0V3DfL+cUGxnf0G
zQd#}iTyPl-z$Gi<J>gMM4d96OU65KVRxD`jg9mqXxfr$!G)g$6wXk_i<iOA;2TSM$
zCUV=3TnGb7=B{qz0Lj9Vc6XEXOzF57$?*d6d3NKbiv0RM=b_7y$J1ziu2<9|^lcuC
z%F`OBVWNdX=8hkL4CqW;ekWw935M(_6s(1NviCMMy@Aoj6rRKdvBG4x0SQW+#_e)n
zp(7=Y2vgxXKGE^R6<G!clWX7WWDE&Juig?96U)8(@o_0UMv86Dqpe@KO-i@JgRdR3
zjvbyK)jPHTtB0&Y>+HdNgQX=X)&jsoM>~|b1bfE=c(@yD-6B0?fdF%No&hBz_tLQg
zw@6k!4abv?7z<U%&Ab+Jeup|M(V_#yF2Bdp1aVUuI2wC+cFrKMe$~)63frE%2lxXA
z#|J=6Xhaz+z*-{MIq(-FoLDk;<cb$O<m@cAm(sgTZ|XFXlq{@Iu+e9Qg(Z6Ii-Ir{
zcUrX?gFaUe&UFEosUMyTacnHj9<B3RH$@7WDBs*5Ni;$m4Tt*9&j+3Lm|;11vmJnn
z;usY*nxMLk!|dV!r?>{;3`Ry;;Pg*^&5k7G3@NYoe{RhG_l^0V>U-cjT2{2dl@yWt
zO>)^8Tw0*+vV;A}-N1A93z2f+z|a%6^}Ctn8*4w{>_^c^><c`Gys<<;htMbVVrJjn
zJf_L{Jj(W9wn`VCL}r#7D6aL;f2vqqe$eYnZTEooJ=cdkIcT$Jgqar9EKFJI623mF
z;GT6#2do_4EmosM1WKbeJZR2qdfAJwWU`Rttf^D}vTf1av~c*&IHBhA9l?v%dDhOY
zTk&)=461l6WFuGuobgu9@1geD!!dzjbk#vPC%Fi0e7qGd%!3wlR864c{eYZ;F;$!B
z>82#P*qR}=>I6p}uy_=u{%ct&K3Ruexd?Fe5dEBJ=Y%6T<KfiD>%amSW)=;FotAzX
z-%A)ZGmnPH^qn%Kbax0-Hha_VZwwl4aESb{t2D`iXDWVN{lrMj))zXcVQUCBy)f&j
zVNeB?@U#drwfS7x^9(!*$ckKUS)fDS+aIiD5DGDJ5nLZVuc!0wD8mg~ni5RQmd76m
z>U@oDG7~JQH)Bh4`Mh=4&S?Gm483U%oa7HsRRQwWBx~7VaK2*u!GXtgyww2j3fH0l
zV^oI#K$MuT6IlJi=k*4IQ(n8uS_effctB)1&UnRHGn_cz7w{_s9)y8H#=!qm!?ngV
zc}C$SF2-e!&Y7SvO*ib;WCJf{WELoFuz{aQjWNNF%V0rS6}k>8l(n=US)(L_==K$n
zj7x_?8|Z{GYC9xQXVFp{EUc^871~s}mSRzQ0V}%mvh9DHwC_3ZbDnd~^Sl($r2PGO
zlULxBU+okLWH%X&F@p}PH7?5J3?F=?5BT02l!`A=@$B*PVOE~5qDXjOh@j_mbR;J&
z$6goc6{Oc~AW!<6%fF=}VuKMt@S<6&g1!kM`6l4dQ>pCv$uVki5QKGK64U6?fbWO~
z`!Np$EvKa?m{g7SGT<#qnAaLhnp&*#Q@WIP2f!riAs|O^`dl+lb6O`-2psaO*F?<t
zh4z@u#pqjmhgKivR=Up7m(-TDlJ8Q-h2{xluZ8n>xb?pPwE<VYkz#~${`-_E!K2a>
z6m#OrkuIw{tLKAje7OAAW9@ydAwMmWQ#j71McRwh7p)1xW+o7aRIAF56@>Qxny*Vj
zPlP#jN~^mF7vL53zUEiIsf97bG?cs%KuRh6?Pd^U*w6lG6-xhVh}z<=?+^(>qvO&S
z4LfkaObav{o5BtjuuKlv{HbR5B@~v6EUkqnzPNKGs=kwxW@6<{Z^T?vQ+;{cL}=K9
zu*|vsn9l=p#eHJ_ShqGxG5*<+0UH`krg!S)+a8i=KGpuwQK&TekdyCYNRX8X)(;8O
zX|wekv3*Szd7*h7hwA{Wf;~V^qh+yWZ7^Q$pC&R0igvOr1Hn4!;8Ks+ugry7ff2QP
zZ?F%Y@WIj}86)bz)(LV}a>{MLo|WfR&pkL99oeXf__>9_q~1AG-S*Zp?IFC;5TF=A
zXYTrx)S8{0T{gTeowBf|;pf23Qh3{=`hs`sIR^mRP_4xXm~iVxktYr0o`ER~P>2p`
zT;n@<&GY?)Kp{Fmr_zTl4#-^8<TYc}Vvh4JC`xR6VKu5*fPyANQlJ;|V;9tPIw*Lw
z#Sw_Plf=uCT>ex!MkKFFl6S69gAiT?!w|kvmzF(srSZTBwq6!4)2?i^sQE*QSQ)(1
z!!3UXA&gDNSN|ZD0fJ4#o^`TKvMO7*$xg{c0pr9_;QG*ZbBqm~L@VHYtE#acJE~rI
zFczwxg))u~tZA0M&@O%2dr?%9-Vk?&EprXP38RJ4<XKB*Kg<_-Fn{Bg-axB0{Fwre
zpJ$bV`E0gJ+3gMm6Ua>72>xyjS~2W7UWr904Pi_4ik-Ea<(%`}|0&s)%7|m&uxAsk
zR4&(~edHB7Lo}f1YOVHb;I}p|yp_S?K(R$&mgH+A%|J}PLRSDK1xTwh9sX|q3{dcU
z2MoKUfaD|E+xA0E7v6vgg*SwU?zj3TmBFqHy`O}(=0jH9I`=vcnvEH77Ttp%-h!Aj
zuyE)M^1~RuvF2}Yy=H@fre<N?(Z5@~s1<(*n+)R<16f7~>DAhc5f-C@ZSK`0B#*7y
z^KZ)hl+_tAh&udN4jUQ&^>K%h9znWW_(S+h@&M*KvOS(JL7%`rXMWb5Qt<sh(H10p

diff --git a/reference/antibiogram.html b/reference/antibiogram.html
index 1ebffcdd..10cafd05 100644
--- a/reference/antibiogram.html
+++ b/reference/antibiogram.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -315,22 +315,22 @@
 <span>                                         <span class="va">.</span><span class="op">$</span><span class="va">condition</span> <span class="op">==</span> <span class="st">"Heart Disease"</span>,</span>
 <span>                                       <span class="st">"Study Group"</span>, <span class="st">"Control Group"</span><span class="op">)</span><span class="op">)</span></span></code></pre><p></p></div></li>
 </ol><p>Note that for combination antibiograms, it is important to realise that susceptibility can be calculated in two ways, which can be set with the <code>only_all_tested</code> argument (default is <code>FALSE</code>). See this example for two antibiotics, Drug A and Drug B, about how <code>antibiogram()</code> works to calculate the %SI:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>                    only_all_tested <span class="ot">=</span> <span class="cn">FALSE</span>  only_all_tested <span class="ot">=</span> <span class="cn">TRUE</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a>                    <span class="sc">-----------------------</span>  <span class="sc">-----------------------</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a> Drug A    Drug B   include as  include as   include as  include as</span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>                    numerator   denominator  numerator   denominator</span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="sc">--------</span>  <span class="sc">--------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span></span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a> S or I    S or I       X            X            X            X</span>
-<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a>   R       S or I       X            X            X            X</span>
-<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>     S or I       X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a> S or I      R          X            X            X            X</span>
-<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a>   R         R          <span class="sc">-</span>            X            <span class="sc">-</span>            X</span>
-<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>       R          <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a> S or I     <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a>   R        <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a>  <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>      <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-16"><a href="#cb1-16" aria-hidden="true" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>                    only_all_tested <span class="ot">=</span> <span class="cn">FALSE</span>  only_all_tested <span class="ot">=</span> <span class="cn">TRUE</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a>                    <span class="sc">-----------------------</span>  <span class="sc">-----------------------</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a> Drug A    Drug B   include as  include as   include as  include as</span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>                    numerator   denominator  numerator   denominator</span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="sc">--------</span>  <span class="sc">--------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span></span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a> S or I    S or I       X            X            X            X</span>
+<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a>   R       S or I       X            X            X            X</span>
+<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>     S or I       X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a> S or I      R          X            X            X            X</span>
+<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a>   R         R          <span class="sc">-</span>            X            <span class="sc">-</span>            X</span>
+<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>       R          <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-13"><a href="#cb1-13" tabindex="-1"></a> S or I     <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-14"><a href="#cb1-14" tabindex="-1"></a>   R        <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-15"><a href="#cb1-15" tabindex="-1"></a>  <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>      <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-16"><a href="#cb1-16" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span></code></pre><p></p></div>
 </div>
 
     </div>
diff --git a/reference/antibiotic_class_selectors.html b/reference/antibiotic_class_selectors.html
index ac0b829e..9fb1db7d 100644
--- a/reference/antibiotic_class_selectors.html
+++ b/reference/antibiotic_class_selectors.html
@@ -12,7 +12,7 @@ In short, if you have a column name that resembles an antimicrobial drug, it wil
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/antibiotics.html b/reference/antibiotics.html
index 22d3e51d..935307c0 100644
--- a/reference/antibiotics.html
+++ b/reference/antibiotics.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/as.ab.html b/reference/as.ab.html
index aaf626b8..e3b8e29a 100644
--- a/reference/as.ab.html
+++ b/reference/as.ab.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/as.av.html b/reference/as.av.html
index 457064c6..5b8597a6 100644
--- a/reference/as.av.html
+++ b/reference/as.av.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/as.disk.html b/reference/as.disk.html
index b8566ca2..e9f742ea 100644
--- a/reference/as.disk.html
+++ b/reference/as.disk.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/as.mic-3.png b/reference/as.mic-3.png
index 83d3a2ce2163ac2c87239e6b5d8365e7d175da2f..0df62d421468c9e09318ab481181eeb8b3d4a6c2 100644
GIT binary patch
literal 53179
zcmeFZWmr{fxHXJ!W1DOPK?K<<D1v~9q=bRMqD4AYL`nha#>N1VC7sd@f^>=qN(%@`
zi_)!hzhf$%^Zxj*>pOqW7w>hr+*`o4)|~T+`yTfg<9?pV%Zl&VO1qVUf?@|rLR5i*
zVxuhu#b4L{-h|(@`Gig2uT9sa#6|HpzUD9Fx!|uYW)f-^6cqHX#DD8NdVlCqQ2a|l
z5<RDA8#K~kXSr8tVfBYxedNo3l(z)FI>FBT`0eA^SIpliL};$OEncU%S9Gta$4Pd#
z@aJ2(OkRB}JIs79eBkll;p?}qKXUKpx)!}IPwqp;F^elJ9|sq#B~k`=2Jaki=68~1
zvKnr>oRynvBI1<5QbVJ=;n!VJP(0@UQMYsLdkT3$M%#72fB09-^Xtan-`=6Qc#nGR
zCD-<D(O&!Z@umOH7gs*MTJoseB&*USYuJ^+`LQ)0(@|dD=2qFf4t8DX^b6~M-$i(|
zX8K=euk!`V^3&}ku}qTWX06x$ssD`F#M-xK-3}LTdvN9Lopnv4hkV#H_KlkTe!E%7
zkzx%ow*$PgWi<PBE!%EoT|5(Xid95JXQ%6hovsm8U0eV9{mLkY|H6awZl^zEoqjMo
z!+F`Bv~kuTSjZuBEN@)6F+oMHyu3WOhb%Sq=>nx;L$r+ca7*T`z!1B>{TVk~6sTAf
z<&BKuR~DL!jK<n?%yTr)m7co!<s_>QgY(>>SUu~})~IG}2bqpMo92hq+OhB7i$+C9
z59JOgH(a0;ifnnKKm7j5o?>pX4RivQ5*&qd;mHLv>QRxA%-q~c#GB@Re79Pd8obs#
zY@U;D)W{+<S;b}4mYKw&lAP$}wO7lkQHl2Cl{<Yk!3jY@bfJ}Jf@KqK#mEHSSYGwf
zFiBk*pEqhsRC`joHlVgoxde~Le=#YTR%TOAmmquj_(X4G&pylBZgziWyldRTf7cPQ
zfv(k+tZ(1G^_cOUHu&_f(_FW!aHWn-hn0G^Ss06A>{nhN@q>1vrUlbJjE2ScHaat;
zTYr7KZhEjmT*{YyS|cW~q+346y!Rf923;9V!BoAJ{ZL$tqt6o$kLE<RH=n~UY-T!k
zOk>q1NAu~kXOp>Z4TGPn{JEy*zIzP6z5AE5t^|oxcP!K~+@vGdF6o%psA+q4DvwFK
z>fzM2B^*LieBjWweJA82#N3yT+As}9`D)kql)vn?6qxocS}HX)S0O7Ws)n&^<%*uD
zDSbwrfR8$N%%=9?-M=<3$c#yDe9}JFkvAM{)43(LlcQ)!!D(@3ho8K6WL1^4)p(~C
zgX6@xPt&g9r`HDVPTKtqrVj*XzUWp|R44@U+)6j^mDJPIEAKTwe(acdr4QTXj$Esx
zv<r{6*S$J-|Fp}BBPP*c=yRNa^@v}PYz+R)jJCz(jTg4D6kRXhourz2c!b6V%L7Y<
zYN2b7oM0H6Mke!_GaBr^QnE3Z^=pFa@D6UL1<MT6F5!{s1uo;J6Egm%N*D6%Ci~Pg
zZ~8Ynx3sjVr(S!go?*lk_bT{8WA<%bnNVS^JezT4S=r~B?7lxIC#}A{-{Q2oJZsdM
zpQD6%x+~zkWE<9dizm>H^HkYDa^6_lN|8a`;o;SglsDqzVyE`~9^|)swsihYD_|Mx
z!>$!?oKm2SjezO8eC=9zYr0_sw{eqdFWpYpXleiO)(m6gu0p4w=9JKQrG)6YIor|?
zABZ6j5U?@|^UQmBOl~JDkFJ~j%!uK#R)&$%=$F(B81*z-ZllP^NXF9A(&NIy+Q*L{
z&&6V~>JPRt>VEf-$=YF)Yf0GRcv06vp2O@Ip3)mv*3HmSP$1)nsNPCnYRTkH5%^v`
z-!|2Gag?{iu0J?lB_(9{o;_65)W-s=qj5v=7hHF$7uaVgWmWdpV+Mxb$kw)<`*Jfg
zwrp)%y!h(=0-rKC-K;ZfC-P;eF=4pVVVrHM2s`q;QiAfdx-dJtEEZeZ%F545j*_Pw
zY-}>aO-XN7R(^b7XncLO<n_?@=K3h9q+RhO5^165rJUnYneX4fPp>SFCn!Woo@;g)
zPRbhU3pAa{krNzt9xs?pERs4Lryg+acicYPa_%1Q`GXE4sdtWO37Oi+M@dq3n3e2s
zuGFz^(QBIe@%@8$XsFJ}obbZH5#wCl56>T(Z2X5U)OjI}dl?%i!EyelbLFw4M~8G)
z7gV0SR|q@5k+s`tZsKZhU!TuM`)h1#)9PiyWHGvI_tD8i)y3#@>{XdA%LbWs;uc4b
z9iv`o>o(iFXuajxKDM-I2HUT9uQl#64573i#ste(T8@0-?3wQA>ofZCt#knomVtP5
zt0Pw_MmCtt87<H6T5?q;l<)TW4CCgVc3P=>xBXs7*BG#nw)8cv`|)Fy_lf{FcLrn0
z@%J>B2WGar({c;w56_g+L}2Z!x;O|ws0rQ1k$*DMN;-(|l84~W$3K7mJpYvA^UweI
zw2GZ3b^jc?EB5`7hA^GJ$4+ddZ~Pir9Qq$DXAJaoF!A@bKXBCwMr>wqe67eRA$9r0
z@7rKLBQX)OxkmP={`Kpk$H}V}*3#HM=h&!k-m_es8Ko7nPoK7F%e=*H+9^2Nk*9(U
z=-DvnRoP4CEVJjn)p~kv$KU4+pRVOry=_?re3b7?OXIK^n{Lr&-fD|3b3Y(16fNdX
zYlx*mj$B@x-E0-wg2lH{Y4vm5<)pzvr$r+K^L64f41%^NV{<Pk{pa+*`@3^eG|zf8
zaq#%%Xi-k`Dss&M<ApZUq8&#58@KJ-pkz``W@?%eS)H%Fv!(HJjO-wC!@0&$>zP|e
z!}qU^b&VXOZS9`rh3PlZ{Z;-EGJ!l7IRn-gILu~7>p0Kr_4f44v5lMYO|@IpZd95b
zY=}uR%<DM#dMW$%_j~cYOiZN#H5C<4jn;;YVhir+&5dfy=|&X|mn_pR?ae#s9$yo!
zujcJal=NmHu}Jvrq&az(-M7+MP1o(9{lKAMLAz72xk6df%d=gx8rH}T=Z-xeZcZ_k
zNl|-qH2zNjC+_n0?b{3EF001N#46Qt{84KEqm(+sVb%nQz*yVFBzb0}C4$(1h^&{L
zot>Y&zn;~`ef8aj;qm=kH)4T{h=?$Kk{dxHJ^gftc_mxGX+woiR$aG0&^Jvbq!h+?
zm$(vvNqK!sx0wNgbnbZJBGQlRtKou~R^y~WUma&P+#JVe>;6As@6LvCyPkR}jz*g<
zC;jD7^PH)XH?{HS?r%zK8zsV@re+YCOjay%cA6e)l(OinI$r0uvNBslovT#xl#11I
zG^3e?lk*ZD4sRf0t`$Sur3kT&N~Zla!HwyLmxsrjbzHQlbsSS~@&qc4d#h+0c6iuM
zd@VMrk0iad*T^zSLP#Vj*xTm@a2p>5YznL<{-4*8e4{!b_@(Mv4&0sJ@Bf_sj1fN8
zs4o0s`UOwLlWB+qB26DXkNo8m%&Gfm<%fsM2Bnnh8x3+I%ZkjYLzS#4`QbL5cH&#M
zY*|-%l!<BZ8Al=WPZ!@xCfAZft|gbQzqcU$!3ti_tSR_rX-^xx0t_;q?5hsow}|#R
zp%#vSc$|ytvNwxTJ(I6y_&zrEfm)Z9Hzql~`@C6I(oA0>0Tj%AduIRj?&i~&uj=44
zDhGH?6p65nr^8JTA?qk${JaAL4_Fr9^BQxlhSSZu&pS;NZ&uH>jN3^s5J^OCEa2Q;
zAC1p>Hl~fqT4y3{^DGC$OI#_9kq8zLP1CQIY@!!&7GzmlSYMa+>AP{(?OcoN6#odA
z)UAyd1?STZ9BbddXWpH^_U%6r68}5eeD>;Adp0q9SBp&Yf0P-R5_JN;<d44izl7C_
zL7ZixXa4^EB8syEG{tK>@xOMt|3_YIdOXc$T)Sn|8h?^>iiBIcy=Z(ZqX0e=u-f9)
z-b80qcWNV|xLap)c01aQzmGpNmVLoGPb;g#S|k0!aUVn>E&QmJYkAyr;Yf=x6TNYw
zdDd+N{`?xstd24d1`aGw*Ms)VK_}OJ%}=);RZn2B0oE{Zz5kDQuk&1*UL`hfBSPAK
z-EjJy6mKba=kKyym@*{b%4~;CXmb8fNg$@!^AEQgwWLKIwEeoy2~nq_s%k1HpHu7?
zs{c+W=47&8_j8Vg{_=E+OJfkfh2_-1CF8(?f*@J_^b60o==~_L0Ng1mchO1Nb4*tB
z%+%q&>cC?N5W^{W?yv_{G`gikCieL#aJW&p|1dC&i7#UJK7VSHykG$<NknV!lI~AP
zLh{$0#l*x?pZ6XSf4(=)7{RD%2{Du@c1|`__!b-2%`dNC`EKcV9IFgnnL5VmgAnmB
zKcDedXTBPN<6ARtB@oCOs3~46FB6MNOz7vwBMXQo>H4(?ho5CP44zP43|$_=JbX+Q
z2$m&MDJG#2`0;a^o)qc?7Jhy;gs7ac!bKCO<>}@_!Fj-Rc%m3&l6XV|NdRSFmXy_{
zevxxdE8+st4KZ@Yz)tovE&9{_BCBeMl1k?0X($5Xh<yjZTbHW);a+E<1RsEDMwei7
z2PP#{Bt-ltpSxF*Mwa?;ORkmilcbo_6C)qIy%}5Qb5|wbd~@V!xBc#pkMVb2nb*gT
zp4EJ`jpA?bb6;wL_;tsMR-KO=|5|zDjlbs+@qntTs>9PGods<yzCJ$t9<m*`6Iq(L
zAV1pUEE6Kg-+Ji7gS5F$wL(WbiE*mg%3kw}XQs}}h6oy#@)$QI8o2IB!w%Q@vAQ%_
zyDLS6JbJl4wTz{fM?2f>s^@%nX4^|SVM9j$b$@NL4Gs+n(N5HzpXe^RID}}a{4q5|
zz^X#MuiKSjMuSJ8-@?>-tX<7u9ueuKw>Q=2w6eYFx>&aNOp4@$=ik%lN+YqPwyut-
zG$(7_f8KZtrRKRtEr72#*UQOwri1xzzdLQx{>4-aNNbS)*>SJgnSr{9+Lrl250RDE
zO^Y8GTvS(08{@re3zZl>8YEis?cQXBR0s0<ezBLlkHD$XmTTHoh=<zM->~w`+u8QE
z@Bz2^qH$BJq0gMMF_W4PF^re^51jz?Xvk>RPMDgSdR2ik4%kQ%%bufPN+HY+v67Xm
zsCDrtO0(twZGe9Q06%!};Jh9Xl9!*KZSsX@hFJcSSm=-Pr4g-xe^u7k?d?Jlku-?7
zf9k2{Ub*T3ZmFpPs`8oRgQ~hpuXuLGbksLAOb;cbNRmSwf0lpSs46M?({ZdC#S{|>
zTi(vj4n-{yYNxV_mf60h;TJ}D+{~LTyA^My_5s%r<*0J9W*lmSCS(7Rk(&fq`r11T
z)Zx=%qT+E-NK!CbUT}G;!CWBNzRzF(UGg@HnkWsEoQrXBaRO#v?-VYMov|8g$I4ho
zk^gnyj;nm;J&)DX4K58-eg(EpH|Y?FiiyEOA<8XONT_d`P%v7R?BEsU{5H^rF^{|_
zbr(6|GGh)a>Bo<JwnJ>%`CkHrvBupv*XbBHC%bFE6-Mz{7Em}4{w$n^G$^|0C0NUo
zjN~Ia?2M4mW1jOlUWrx9dA@gDCFTB8jIp{cG!a--VyBf|Bo`b*LPJxC%uOc1Qyk(1
zIkGN7d~?PUU|3R*$@%m5I&Hu27{#iW+>7bcyMBFOw#%g%`!^0tmHGH_68ZX@mZi)|
zV6DXIn=NUj`Z*~@D*^+fR#GxDL=AD8K%Sii8vg$N7%2>U#mA4Ic)J`g4+ynHh*Rch
zvZq)H&9+-8n`fbDTo{ZA^$HARMI^t!nbHWsR=K6Kz+o}}p%|ksITF)83=G!%XvYB}
z&i3~AWBiC(6`A;RhfUWlZzm!~VEt}rw!NgN?s1u-ZWjYX3a|=^e9(FBs<ZUwI|@&C
z<(FP}tE0DR4@*ouL8_-x(F}XIjXGX7Sm0s>@I#z-fjv=g*-sBebvZA}B&ehaHy`rd
zid8~>PrZIa`jz7KB!$waR7y$e8O-9B9YvO>UNXjE@v`U?I(kJMcQObi_nUlgO41OY
z+MK?$<TxCXhn;0BUy1tcagvBaP3gQNfUoj0K<(uO<s_oCMwpUym>IcLU_ZUYE@C~R
zYK-eQ8e#s!=8?MN<-_iQrg$aAp2HYfmk=`kL}K;r0_wKKAQhBFSZQj3yr#-{w^v9=
z@?V>G8qAJ$7=3wtH7rd{O^uf8hFj!4rx##GPzP#EV(lc6ULK9p%rU1Gan8qfn<_sR
zI)M6zBh@eR-ekkOhuaF8y#4%Qf&YgiJcNnIod$a(Np@cPA-=pk?lQaof}uPuF~U}h
zqglhnn;AaW1fR*cQBA95QO#Yqa|?ypzDJV#8h-XxW`G+YZKPiUkg{JsHBhajq7~&Z
zmJ{=F^)I2jjct3Zvu?J81J))uFE2FR7sDl~C%QR0hftyUhBz-6avRo*BIRgv^mY)x
z0ZpX^;s$x*Qe(VQW2&xr!Qxn+fYU;Hv(>HE^m6s))s<NhQau5Ld(P39+PzZ0{jDX(
zA_jGoURK**&gBbJ4RT3y?Y_++qf>(o0lcOmk0=?EF<;d7s+CT&9Wh{6T&JXLtgSPJ
zSC=dZ5@>q3Sp_Tsd;Y}v<)YQu)v1{_Q-=b<48HMT4E6xlZBwtWPI6Drb&v?s5#k<A
zahGH6J<o^?LIU2ue?K`A%j=<57anuENy8NXD4RR+ZW}Sg*pA4i)<mV??c>vD^T3Bw
z42z;305=I~Jl?#wf_PRGuv72%$QfWJgnd^r7mTFQ){Hkp1ZzU@dISe|ZyUROigv+0
z=OJ@v=fc9(6^9+PrzKRh?V`vpUn*spXiblIiNv<4E2d}z`*hIq`vnFjcnB{@fGSjc
zxRnZcCIeLG;ofDYi|-60Br@e*sk(EvV(f(HzW&u=Q7e?YFqEJKwu8VmYHw~VARosC
zpRw7bDHr?BZdF3z#*OG3ReoV$Bs8eCZNqR`uz4zmJs&;K3Ek@GC>w3dniUZF;^dea
z>ax<ZP&by@X0pw&r9P6ereEJ8Ym~cLGXl7oU==dOzBmIqJNs7G);5O-IWUq?P@f>T
zyIU#6E7sv&P|9>F%MpeBb5DdVYRNHs`(AIAd|6*n>97gM>@J{#ck!(I9<=on!FR+u
z54F^_<rJ*^iwo{3AJS`S($dnVKz9sdI#n>7-a$c$tjXEu!Fg@5O&0WZy6*C{?SpT4
z8}AOA)!<<#>cPydj6tIo7JPJ=HXjte5eP;^afHRKj9Ved#cF@97*)#k)5o~E8wFNT
z^>c<>{Y7z@@%-#hq4BBFw&q;YGHRt=o&tY$yy}`<w;e<fH=y0r{HJHAK>ZPPs{3<m
zl8r&NT^us_^y;os=b&W(!dm<IeV*OBcUSd?x@ce5Dq5b=kf$8_SX;|mM)Tc_FL8A~
zx5b6;2aRqOQeBccgVU5}?J@$ODWgAFLt7_4NfQ$j`8Mkgt7d<Is>OB&lQ;UcJm8!t
zRlEGT^q;<`9dXb{ad`v0ukbLtPGNov^3PjUsrm|U)+Af-M+MiKzgr4aBeLIX702`b
zRR4fAO62Ch*hOr{+7DOS3#VfRa2`E#rmfw&?UwMcANE(*=sdQFGy>*Q8RwO^6rq%F
zCmg?gM)In{wvz$t^7QlVpFQP=dtK(bH;3M)%5p#4B3%4l;Oe^vuR6DVFLR&FV>rL7
zX7K}!uJGarmu^<uGW#Op)uLvR{s9N$qARnhyp+OouRO0K!1ZSZ>2JS#(0rc+N$`3S
zR#pgBLSKgSY{{U4f<oeCD6ecxgL)wfv0WbHqgh><LtUA-G~N$WmgU<`CekQlcU)ij
z6n0@-aLLkOebh50o+C#h-e22Vnyi(Vn0r(<Xdt5s8BZGdkt88;veK7>(%7k6_&Qtr
z_tWjduKo8JmJ5J9NGZdiT>7$a3l#yxoP>KOG-o`WlDL9|ozoYiyGM#F3dRpNDi;&)
z8|5nVL&n=QvTZ>?XYcGGV-rv!E^dr?PP;F(6kg{UZJ!lSRw_F><|7h5kthgb929e-
z*){P#<i(3CI}ZvDSZRe=2~B^#tnE9yR8Memn;O@VuivN%QZvwE^8C8v*g;*l+c}!i
z;vNT;{jp>B1%&$g>azoh9Vu5#P_FLxeShW5BeFE+bV>MJ+oY8B>tKT{`OY(72)C-b
z0J*u9bWiLzCLKV+psGZcS0Ax&-x7O88>^QsZE0zK^1k*8&;du<5;kz+JcG+pYUACR
z>3G%D@LEw1{lE?O?)$mQjOjzh?;|u6Gcq#TF1MQ%$q7|5@R_|e4(?9B#MpMsPt|q%
z{@s>|p0?j?vd2RKy*CvsA$tyRZ>r_#e4{VtIbWO}$N`AMO|JS{e1F-8wR%e@Ss>KG
z9)Ks&%GTKs3pj6j6)}7<sbo@oz3Cz+UDToC#VW2^RnF@-ZtU~#!lFJ>j%0j?w6S)y
z1q}0((!EcysXF70KRl<`u0)l5;80PP({Y(Co!_ST-;w^YU%A6DK!7t_Cz0Sv;j}EP
zM{OTGth>^)7ddDb*%fY4N#En$-PUiOBaOv+KR$wScRqm&GV)VuPf?tmdhwNQQ|(J#
zM)8IR<j9v>3kRe_1Y3|BDzY`%Uj_ymD<`SzIqf1}2epo=)NfWoCBX&EX+dm?U|)h3
zW;tW@nb`uxAvU0UN%u*BYp#wwo2<UJQR|l>A!Akrzz{rSX@FD5%nPqJm_~jpuc}IS
zUT2C3QeIu1(T8O4QQa9~PFT0Px|$nFhZ{`TDKLdxpbg7<&G-9O>YX}ustTk}l?-pk
z^+s+Wla%R^_MA7Lc%}#HN+P48)TV*E0>6Lo2*eE6O^tP&N!*a4cyi(Un_A&Foo9Bs
zmLzIq)o6m@RrVh*TJ7w&_Du(d)408XEBAdMlI7l^Di=V8KGYmXMMSz<`;aXIOpBJA
zEXUegdU|`Q)SWSe4_gx<yxc&xJ1Qj9fl(sD4$@{77-<>gIB9EZYfl<5^$N_J0;_M7
zJ*PL`$sl|annXF`p`oE+G>TW{91O|6IQ^D1y{07rt06zIgMpAm)Y`})AtoSsh-jf7
zc~8_k%l4>DfTBU*x9{JpQCM6n{hpGag~IGoWGj}WJ7=`Z>PjC%1rI)%C=iqvdwYBR
zF@pZc=o(gnD|6qqhyPa2zV+RIuQXx;o`4I);>r2>`7*?AqWC*<mdPJG!+!bOU`tu2
zbNZI(j{G0e0h?&`bOQF|Gg%4SSYUqw1&fgfyNX;q=dtHbDHK0ub17U|7(PGl3i+r$
zQM*83<b4EZo!mqSzeO381{zWy!|I%C^Qo~*Bkl)ycdCZ=Q?eE&S3MS$zT1PDLdmjE
z^3)ERlW+CsC63xYi-_Ev-#x`IC?bBJ)HL2z)WxEM(vZt)NYP^A>p7$mx60mASPnM;
zKcn%0$~nlCr>`vahkMYK3p*PQ20lt#4No0E+@gGUq1&^y5OGU=67rD|v4*jF68+x1
zc~cE3syf}UVg1USI$cQHpsA<;#lHd)6Z=XQriYVWwjJ>h+?{HFL8cz$O{cLCuyr2_
zw#*8<1OB$wTKXPWrh8gi<`#xi3VaZ?ZV;6~4oJQa#yLE<T4_kp`n4g#&D6}r2g+>)
z#i{d(Z0)oq=Rk4JyK$)^xVIBBL)PN+Gh?rt_^n62ylCE4;qbvED-aXmkkk)0Q90+(
zg+~wQ#3QrCH{}-fWOHat&kCHen+6T6YDFhxe>!qnUteE?w4ZbXG)Zae^OfaA4Xa;~
z^6zp2yRZPYrk$U}14~Cqdb=^EJTZ`S-AVs5@ZW5}(WH4QR^{z{3-7d69vv`YKE<*7
z*4`&GTaGr#TMjo>OPspZmdR#K-<|2+Pn`|L$aZ<V4M^KirKYy1;V~YQy6}h1z0cZA
z4)EN3-E?4}X=lijBcyZmwKnayU7K?c2Y+RYo6KngKu%gH(CS;Q6K7DHlndhP&Po<%
za7vdyldA*4f(PXV7by2_c6&29>trUt$235vJVLc(+k0z+6<C6|4}4+}N#|u=h#o#_
zO0XUUE*)7mKS`0VbpLn(91DO`on1tUSZD?|V49!DwDV>)WncW(S&3E<n(A4!Kg%o_
zc#S@PG+pYC|Fud^)?Dm5?X^tp?nIq<rIkfqL{Oov->z5uwAiN`dU|TZ4E*Lj{5m2O
zZ$)<JmrkI*S3j23AL77%ZTb;8a*}8FM-{iuvDyK(X0RYmO)vfZ4ZZUQqXU<cCs89e
z`38UpZ#DKe+mrA4{Da@U#m<~z$Cdg1q{=1)#RI8}Qcge1kBPC+kjyfnAR8}(yO?!|
z3*rdNw^?sh-x2%;pu?3;oH1ybiOa9Klv+nK@?dS{$MXf!vrx2O`z%kCP(CYQ3n3Nm
zIKVS^!UjP%p}i$5(#&IpsL15As$aL<6eIf!JK1~MaT|Sp-85OrQM4hkQma$rnDBp0
zb#~E%E-?6|$w%5Ve@JiGu&{m>FH_Yk=*Vj5D3cTX@!;1a6GYM{o%UxI(u)G(q5{Pl
z;CQl7U(=9|0znSz=jpe(F^C9XaY7}US-7-l-vN2+2BP-44>U;|QYw4XOd?)-d0j{7
z=*`g7)()WxElO}{7koK`$!GQS%jdV~b8B9{`lhAo!InMY_H7YYM8S+Hh92?Sa1}3a
z?4PvJG3Tvi)vY;bN9!(Z&bT;N%raPL`1)6FQ(S4Spjlm>kTB7K0NYp_$f+y#gO_>x
z*sYx5<h<}SXNo(fKhA$db(J*uO^}LrH+Fcx%?iOF8ry@Majxuyj49ktFKGKIfI#%i
zO)tsha9}A(a#M=V_-x!nsnYHr+vx=q=>;rbFcNftIUgOt1CF%3p<-ZYKlBsW*8rr%
zP-j6NEzix^o}Qlba$5^=c}6Nh{^sS+cBXBoVNrnSx-p~Xo4IKM2dn@u81Z?rqTeTa
z0ZS<D{D}f@UI&rNvXn|ig2mQ;lBo5N#V)xl{c!Edg|LjdWF{#<va+ldnted$q4+wb
z<JK3T4#JcmTzOE~@k;>c6(8<V2u{BkCTRGv0LQHS{4MrOM~|WusIw16F(3=QoBTAt
zi;IiP3d@J2;LEOM3E(~N-t}f_2XDK)fi`0+^X}0-(uw*X3T%H|6M_(*3*6xy5TM=@
z*NN0w$T*l*$-d1luzmRNm|N!N=7}_qcGAbA;8<YONmA!FUKpumt>u}qcH7Wq(itRZ
zS05lNE4%YoHC5Y>5FT(!?<u3<`^USqMcP=E6JrSmoO~Jz=^Z(v)rQcONL)l4#VMgQ
zYdcLVfmoG+V6E&QCFMJWOE*9-qApH)asqq|Oa?}n0ZB>8dW0P%XhkV{LTzlUtgKf$
zkn;m%B_x<V{mys8t?>3Q%2+6dQ1LH*nJx{mXzb^+9C%^Xc|g$iHSqUR2nTklF`EOl
z*U)LP2oJhAVdumtnTXW!ntiew!Ih&@($b%iI~Yk$3sZFje@GBUcz{n(j4wP*$YxQB
zXN)uJ+D;)a@C#RMC_!Eg-(7-@JYwSvj7-2<QawQbl26j*nCG>2A?2^H>^?a5JXdj|
zm#1Fxa7cDGpVQKh4-Z#n8&!1TP<5Rvo%;5SBOdoni`zuTH3m+S;^*hbQf#Vxb7XwJ
z_cHl89sf0%ygg*5@(#{PCW8J-6utTyQh^SmTHpLup6>B^Jw13+PHj}7opY-8<BX6H
z;t7-iW<cdh2FDl$Av6{MB>qywqoJmx1dwkX#^?31mzDdM36)#o)>lI?H%(J74qaIC
zLHbSN9-W_0b6T_>UjAmD<K^ugg@`un?duzppD#G<)R$8Wu1ed09%~l*HleluaPTpO
z>=tI{X%Hci?h#m|+EKVL#ELjCgGXxc<J6rhT3wd=0D;3Y$o^m;s_O05m$z=ox>a9a
zpEy{2fAi)O<NgLoxOkXd$gOtF#No<K4JMvE*FU~^^?VTQN)f6I=~F-#n=@o<zkeHH
zyhsYEg*dA#(*?7Fa3!LqG&$X6)fvJQXKXGjh^s);LNyPe8NVB~AxUm-+mZj0J~{Mp
zxXeq1&59d(f`|m|W?12M93)ykZe%HB5!>n*M8ddN?(6w)e|x~Kg;Heqlkz}#goc;l
z9rD5;2sz9Q0G263hXdOlhfJc44Zbz5)8Ow}zG+1Tr{{0%jy|T}DgJgcN<Z|y&O3Hm
zryhx^AG&d-wC+y*$J;Xnn%kOV<QTvlk!Cv`QZRcF$f1gunF58&m$4h;32vd)h2qZS
z<}IDqCg?abEC=gfxRkp;xZ+HroN2ZWtlnqB=W|6oKZLcoY!XE>)xsifWT#OM@aj;D
ze&`N<cDaxvnUeNXCZyz&LCbw4A3Ld_jcMS;j0HY1H=G4Ev1un=EC|>^Bs{{Bv}p%z
zB%uk;O?1aAL_LKrqGYhY_Ih}~Z>qfA(PtnZ`m#pCFFs?WVx+3{X6?^-E*~uPv+50d
zZJkJ=t&hl}l)|6zLOu;P5#as8;Nal74=U{&OtWvjfyQW@3xvF`aupz}$r5pTTlM5k
z-)HQ(u^-d!wpJ6a7xjj)B|qx1`DiFuP3c9R8X<zS4!srL+p1a1CvzMavlttbG@AQ8
zba*>$Bb3I#z_K;v!enLHqUSq^pE8<;Ed{utCr|Jkeuwz=xzNeMX};H&C<%FPetCst
zDEQSJFqh1Dt0j%;D|0`Vg<69?!yZq!@=$D1CPu~q?8+v>S4OxgCfB=9o!D`>g+q{f
znfCb7hE$Hafg`Rc#4-vEPtR&Gwz9k+e<=ihSAf~+E@;hk<7RfJ$!cDE_`SSezKlRQ
z84s9BczE77vo3e>H?~oZQQR3|(Q3)2A(#>^g+W9xkj$ZzG&5rz!#0KR*MN6sI{uZZ
za3wN2TD{?n&DeI;POhu+yM0G}L<Ngh77`kBEL>U$4UW)zi>#n%2`x>OkhhAxa>RvO
z3mmcl6MHNLdd+hZFR?>$i>kF3EV=_X5%*UfZ)HlMsTW<I!o|+1w{?^?;}oJETOWjK
z6o=~?zk9F+g^QQf7R}laAv}Vv_hkOX2mN}rVFdBV7zdBcL$X9?74&E_>XMlAt2Q65
zy=lS4?$ciCbq*H#b^{a!dF%7Avq$0uD|xZbB^0>-Kor!E!$kEEdGEUeuG9+Ef!n@$
zlF#ZGIqF+i_@VYpD0v>-qjrlFrf!_}(Ce6}+IPMas;H~(C{xkA{jgc8aXCZd-;g6m
zYI{dD5z>rh9F8_D|7brpCK{$e3a*_UX}Qd-Ha@=jWG%<)o}<#tQ+A4U#75&Db*A*%
zgf&TMql5&HsBVC=>D;VbJIO4jL2aP^wyEH3SQZ1%VXDi_DAZyO3fW7r@QvN0cY6NS
z&iN?R7r8^h9M2Z*bQGL=%ogTSzwo-36}~*&tX$VF44)K$NP<Ow4K1%p5EP*#4Tla8
zSPzpwKY0K}$N0f*Mw6?5Q9M2Y2zuIbK;C#E#9{2xjT?RZTB|Ktd->XkN@dVY?2!HQ
zA@eTkdS3+I>JT9fg>&y-F^Wx!34}~dSq`t5q3CKtftz$G0ugiCK_mf2rsGGBAk)I<
zMsTKtm_Ts%b8~a&j~s-owEr_t!F*rfI`L!PdLgqL3YKTuq;7te00BD%eNe;2LA#=l
zzm?B#QE1_ttfI}(=kjsu$e0+7BfCs<2cyqV3X1P})V6OdQXD>s3oNVPU~@j^OMpHh
zYSoTVZ={?v)+3)Fx)MldfMA7TT}=G7E>WnGw-&l7C90;Xwo#e1*&e<2m%CdqY!Kf0
zQ`T)eYz{2uZjLUp-u9lW&Ys=H?`OWH9isBNj)mU)l)|s03p(P%!KmG>kt@vBOnyBc
zJnS#Hy`Sp@ksHHNLlaXd3GF9ZCUE^x9U;4w>`A0$VCcT8{li;>2=F5Gyu|&uVopv@
zlO@Sr^+e@*`r(jJQm09q;%-Tl53&qJ=`%9RqeTWIXO5fSqWYNAUI?vo2ZM0?!XkkG
zQ-kF(;oQA*L#z~UbHwju`4Kwwa2WS7xscBwE%r|Jh67(TpjzJDv~Ubn{Qy}+4s|#!
zpV_Nvn^&7P=PrX>F^>EWks|}ZD^xEOT-~r#CC2M%L5&5K2d7w8mvbHndnPO*_>^L?
z$q2d7%gZYgivVIvi+;>!F3<0Uu0g!W-9%1xtdWzJ2CrVgNFvC40BuJfwqZf>w;KW<
z3$_705w4M<Bav>L0fKgE)3Y0?HLu9zjT;{$L4`F;z4j3VjhM^^$q>7vA8MRG`8lMA
z!9oh+i^i;gn9N#{Rn4AN;E|?}pCB_bT@ecDEf8{KZRdHaxVT|Y!eW>hN<MaTyTZW5
zLlU?Jvf{))x!<;C-NN#}DZ`=q`mKHr>Q*(N4{ybZi%TPQ)kyA`ro)w+jk3<hE5=>x
zh-v3)k*^17pJdUBTi#0lp)(Qnxj+|WF}s3hv&h<hVj$00Cq~}e<y`DmSPOz_w=f8t
zokksnw(Ks|+|3V^R2V@RT_&Of?6)b1UIwT`E{;*te@x2iG?EbkOZjl@&F~-?;mqic
zBePO0(egLD3bjBYzf_!1+iPGcyw!_Cr!!zi`h*=(*tnN5fONEac%H-(Cu|PjR{xoI
zhxO`3-7b=+al+ZdIZlX{b>B*#Egx+ca{2OX>i#Felv6M&*@+Hsq7c1vE|ne(<CjtE
zBjpmOe*E}x19HR-+|yB3)=Cy%(4Zht4f+6ITC+^Sm1E_kNjO1}%^Z@Hl43pO0w$!%
zkyHlyfDqVW(J1>RvKOiqITsirdMQO?P_=bu6A5FMbCw0@riV?7STF%_iPHY!T>*Q9
zq9K|$Ej@U!!2;rCidBYTLz%=W0GO#9Vb}~Cx$S=T?0(h{0wTS_5n1wK9~&ku0M$^f
zojVu&<}8;1`k~?PHZDSju>gFY1Opxjg^l`Yb3u{dGJbkkK?n>tA%lTQQ=1MJc4|GL
zky*8!=Hx30dZPRt9S31`fYgVyI-`-yC><=oJ;3LrmTutbd7bc1g55U2w3(t9a_1~V
zq2&i3S_7n7V<DhN*7PN)eA`B!!2n(jd-q3}-F2mlZ(GCeHVGUSAndfDy7;jHrB+fe
zaOo&-XI7_urNk+oz-o2ZHmEpToeJIP&t!g@!8<LM=57<u(~zLTain|+K*ag`kC~MT
z6=#?YFZQ{%iFq1@Ub$9)bg`|}AB>&balUB6RDsdFMPU5PaSBWc?MQonWqNXSXI2BL
zZF4Gffyw457gvM2HOO4THo>0$9D8HomM<{GgLaeR?A4V;cgBWS=l&|{B@%-bk*!PB
zePf{A?QLBFG2{n9j0Tf}3$hcmA|ZqC0X*<V0-1Ge+7I}%$R$DEf5!Uer?y@bInz)V
zXd9<e3K!zl(yl+@x1D%ZUQ@#Z6Cusz32j+9IbK$k<kN)L=ra$*>h0N`h%j(X1Mj^0
zzC%o1J)kietBmWIY!I`x78JQyDt%Z4t1-7pPR^(wxq!XT_dCs|YLhwLX*l0W2b?ay
z*^x{5g`z*{D?+JkN!4|=gHw-CC8*jEk@B0kP1^ZhLLVR`BYe^``pdU3{wn;xgGEsm
zf;Z?Cs(@JyUws`3vfWgjcs2SFq*3H65yUJ}P$p{T)aS#$+=nV`8|#Y1H0em=2M!sh
z2KgDC(=%F(ZEMtyaFHfdU#JcIeF#~vYc`Gvk6ATq=_mEWyf@RfDa;;r_QcuLJdUjt
z%t8_qj|`C}5LBW*k<R$3WN+z&>bOzUwfY7Z)P!kT8)o`{b=^SL%6)3%K^6_27Cl^i
z;E63j<CSV~mPO50f-oK_`-5b&Wt;qZpK_CCQHKdfdQraBc6Uxfe>!J+SxshQCmrAG
zPm9gVdd*!4_~eH}6VmOQ?U|UE{0SoZNlEaD9aHfdS;@_#bI80&r%((#XXU^_CPvN~
z&1}oB!Npu8LfN32uqk}Ns3pyhT@Mop=@lw+wA~s*h*Wp4Ekk}?U-ku}0<j-8Tvj0_
zu50@kYSty9f6Q#Tpm4tLK#G-Z=50{cA4m7O5xjYPN${tMGOpW<$78<>96D4C{MM`=
zi~?ZCV7385iud*@CWZb<<RG<4WY*o54$+|AD}j~cKjq8olCN*tPV>)ad#O{!aEeU6
zm|aF+%0Nakmwt^Oj0hVuM!9ZO@g3u|!k+z@E99ccw`hf35!l|YnPOD{mO+`w1^iQG
zJ1-LspBerDo?GgX^c};_=xTWCwF>_0f`BYk@q@}sWuno4m|xmGtt-#U3ZE%zY#eeG
zH(C^QIlFxdX#SeKQ=xpeh=`Mu&3Xz^>MVo5FJpeK5EP)BbHx5c%(ega<k)HRo{z7a
z&VZ;PZb7(TB~kSfIIZVjmV1zgZU{YoOO1q!1*8h9S6{SAP2tCNJ-s*tSMt^n1rd1s
zQz|{6A?0fRGK+`2ALBu3lQL^*DFs>r9KcpB?V(CkP~5s@+f(oaI*=^uyDmHt)X~>D
z%mdv~=*Rm#>zb{w7>yAB2?hRH73#$Rlf2Q)J672o)q;VGJX;VflmW&Z*-hQ*pldNv
z<$uWcKY8_@m0_p|G?Y)MyA%uTtwMhgfcq2E%fjqRUV~3>`=j3f*0AIgK|FoxTAASu
z9X9C5%|P46r2%r88AICMu|<6>PFNcfy7Y`c#}X#r(5zFpv!vkM$k(=~trFhZQ+B{K
z{oqL7{GHsh_xO|Pce-{-$$xM^px?3S&<n88#z-&g7#OLaOwK>qb1bnomFTvx&zAic
zdS=F$!+Zs6$^)y=CN#Yme0%?-RJ$;8!<#OrTQ-uCPr<`w-Jzsk7>MwI{dC-7_e<VF
zlVQS%%7&`@W63{K2@-TMo+l0K8ADU;+BlGVJod3`#-bMVG0+S-+#$X*%R?t%Av$aX
z=qyhnQ|VvNFNJ|7xg_X8lwW)kKx;H5YaLJw<xoW^dwp>49QLMIqBh0Z4HtQfG&AW$
zoZF?*?=dypTnobP6GT9oybcqrKBI-%aZ?14!AbHt-KV@;EwFNLz(Gt1B4zO487JpN
zf71I{_+VjMRvQYV>c_i|5MrepVg}SPUc8*kv~d20yf43)(FW7o-ys`3WUuW)RP4e>
zcbUSO?73C!pInanKfOXjO%Wrmg2>XZ@Z~T?`E3Y30?|CtYJVp}>iXwoGbse^%hA%D
z2*X_PbP@OP`Lm)0+OqsPb<6yK^{LdNPq=-puBg~*c>Vt3^n8D)L(({w#0^wZ(I^6<
zua!PMioJc>u>Sq_gMwd9z`ixyyP~gw_Llu1nGDeal-hC=VX*YqOQ6nGg^G0bfBXO(
zO+z9?59i_8d^#5taL$z`?b&sLfKJhRl|In`q{Izj*95@&9RLVfK0ZU3`Xo+)>vVa0
zYvzOqj01P{o;8Sh-b4<yf`|fYqc1wp<P@AAib?8??Z{;}R+i?QIO#`5H=V!KKI_p2
z3<dY96Cu<S1B=Ce67miYil}LO<A3DFcxD>e!$x#nR^V0LPwGR@*Q8qCi09qnLcpgz
zX3Iz?yl^s{MqSAZQJ(-?(ID3deAGvDV8Mo?pPHGF4aON_&Qlj${!q#+68z*shzM9}
zz#g3{4buX>g_%)fxaF=AuoRk{4EP<x`p73p2_F8~uU&PYJA*2B<rn9#51yTzoUB&S
zangffN{@Iw(jBofswQhi#;3PFBD=vN_JKe_ZU=>0EeAdoV~#%127igYbff{)E*Dli
zq_5&Tx4koW<#%KKj{#eymTW)3Q-vYT{xr&-ueGD!2P!RWs`{u3f63+v9;zwYLJd(;
z)RWk8e!t93C)~vt_{mO=x{~5upV>Yy+a&)YCH!{fdwvnlLeV)1%o~6*)(<->07Xs1
z>#G+UvP^ZjVEww|^x&HxXhN&RO%1M_D1sbrmw8RdjX(Ay+L9=xTkx{5n6&j2X2}Gq
zv;WeHU9e5)IvOV53xlA=VjhO18h|!GM8bWeFDNLq&7PqFRQ?3+Ez{)5Pu!*`KP?5t
zKZa61C+dKeKnb#04c0TYc2iI|{!6&LpWXsnoYr!apetpA_;wM!iDx$eaGWPkA<I?V
zcyke-aEF8Fwmh2(16-s1zw+6X|Db~;>H`eX>DNlP5<P@2%fmVmzdX@n#Ro2AZ~kLa
zmvj41$9d`B|Jl9yzy13Eh5pX}t~S%&aQd@}(BQpFx*uE9FjbgjvBD`thQl!-KR=&Y
z+|n6zx&rVT<8fA2G{|vP><SJAL%x?mXF@|2PHnFUeiu~gm&h=3dineB?=`5ALvfFI
z=gWwW612XE@`q3E=^v=SYhgL~mOs~$udAjG)2*zjshM6vLGkLJ-T8-LysW6L^}rp(
z!|;dMB{S+u`*(HLR~0a5vQsY}k_2a$xcpZ5@xfW)7hfprdhAZTW(dEJk1XaFSl|=)
z-Pzy9-%4`<owxEszt+^R-hlt!rrZCnN%_BR6jsbJ*!<6N$Tu)lHi3gC8fc+i$%FW8
zAbLaKcOvX*@Bw>R`>i!e{KKhtwD=6*He{#RkE;#!^+Xpc$o>J8bBaK1;s4ODy;M}&
zpEN;Oj0n3DcwEAf$$IF}Ib3jYcDxyF2}!652-Sul3NSO_^z3VIeUMbuet(weGXe2~
z7BzY_KS1&#Y@G2rMTKG>2a^y}P`XGHJx$iJe{OCUZf;l(_C@e>tR(awxS5~+^Kbk6
zFWzhJHd8%f!;w1>&MdyxVoc$A>Bd;`usf%i_;b2C^z)((l`wh|J$ZFI|Fn1<K8)_|
zaC%Wj!s1)<Xva%VF?4#872!1Oa9Ld@DsXv9RR=)7M7`Q3u<V45I-Jv&2a6bg$OI*7
zDG)(dH%~mnQx6WB>*(ZCEZf=W=ZU(-$pl60MgD+E-wqRB#fg$&>?8Bj{V~6pVF~i@
zW>DhoPu7<IS2`_$Ak%(>+V2b$ck08XpMMovtgJz(%h0Rb2OsJCp*wSL2+n6qC)A-$
zO5$qW^A~s5eV2{@H@BiSbzJbZM)IBy5%gm6f<^3`R{WDKUu)TVeoJU1_U~a~;le6<
z%GAeyF2;3y0rOMyZ29Z3!(j@FI>o--`2f7l&<@z*{;hL>pMq%q2|(Kt3ajYb-^+gJ
z{Y}BxTQ#qkBU0mTO{1q=;j}7$?Zd&koxjFizRWvkLkiL22_9aeR&dhopv%&2EC(4h
zdNp7vjo9SW3NKdm=R*S_+S2O7d{~}5dD2wy^i5hC;>v;E$2D@0@S2z(Lu6rheNIO9
zRTJ6jouS)hcGEW&hG#wRuvux)fr^mlNE?06>)*H`_P+%Yd7s+4)JRBG<gJ^UK{|@7
zy!mJRj~9SHfUJVI8sNl$v%B;Jiih`6Q^yo7^>PrD5O{T}lf`YQszWDHRaY(v6$)~k
zIaOxnQpEhDos!-6+44V3A+t&+j2Hi{@$<{+IClbm@KbsNLf`Eu9cp&el^}i*6X?}z
zVVQVM1c{2izq+G4M`ic##d;^LFJEGURyT3+r#9r+OV5eZ4T!J95z>sda*%%j4+sk8
zp-JdhGrn}R-3cv@ydmtXXm9(BeakGi*7`)@dHE=o_b+uqx;luzLEj%ET7VQODJv`N
z>bVwt&XylX$1q@@JA;UJ(bCUn&dbw;O;ifvYP@zqE_>d{DbP4#gjj?~u_y4)#voTn
z+*2VFZsBS0-{5%MteJn`D}|Y?*As_7?OAW<AO9B`xc+?Vf2rH+e_s4&aDSb&ur})d
zGj#ulkH*AmOWtC3?9kHcYVFl46qiJA8<%dYQWDu}Nc)tw*UBivkeq1}WgP9}+Z*8h
zZ6+?GO8v4%b9y?@^st^kwSS&nFw?#OA6w5@<DY67`I|VhgZ#S~R{Z`wyNU0+*`p83
z*5CVX*YJ<e8rRVAE%Z2bZl<7kdH4^Q{r~c}KWDAi-Ox={y`G_7p!G<6etwy}sPbr5
z<5KS`-O|$199{nVYpK~jPNQ6AeGaB4(GnEebD>{)Wir(G{;ZjMGEKIa%JxD>cOF(@
zJahj2J6T@$?%(en*Rk8Ffp%F%m<LULFAbuWsBU9As{pK%uXQghdDAAA%C?Jhuc7KO
zfBI14FZe6vSGVaY+G|FzZc47Bx}TyIQT@><L-}cKakrUm9!`PT8Yf7KItNd_<!CFn
zsc-isyy@Jzb7bNO3q5^(hn(<=<9vLo>(;F!M}jy4peBA5hisMXsSYVoJGo5tc@Ukc
z@7IP?TwLD07y8{Ajg%xL9y1bMLLm3FlVi=l(Q0uL&*eBzd+TUeSQt5ZbErzP<_~l3
z5EXPbnEE2Q9omo|g=Pq+6_LyHre_kjk7tDgHz%(O_Vx9#xSp(G#VHZP4)2-^sZUtv
z`9&66m|Ix%PK8+<UF~3n8>YXIq3WKoW$9b)+-noP#_9X{gJpk>-UHXfwbXKlwChit
z`k!xq2kHMAhyNJ|ivLp<!MsBrMTBOqC8^70wV)84I-rCls5!J1A@elm+gT8X9GGq<
zt)HwRlq<}kf7>=RG;o`JeS1D7RLDVDBlBh*>V~}s4kT>Za}<%%KJ5J3i%*8gZOGsE
z>>@e?hhWZkp3Unze&Pht_*+p^(**A|QD{NtfI6vXKa%<(U+Yf|N%QVl-`6DNqyTN(
z?v15oWh{b%n#u`E_^i8k@8U3shDg#&MiR_+FFH(S%`^Vo+;-fYR6Sa_No2^<ARr1f
zcdY#zO@zXRd<4A=IvSdRQpvU7zU33<+-yp6MmrBl0URn79i8U48Q|v9WHe8ush)V$
zsJv@=VR?RGF)4PAj^)wPhmL09zjPc#sN74hc{&czOmf9t`)UzOgMZwlQz#Zl6^a_E
zvwL!#Dby}7pGQeVTcgHeJ6xO_#g_YKp&t@Q+;ArrK4oWQ6g_n4P$zpteFAWLmeifd
zi3u}P-z%{RckfpGwB99r0<X9$Y+ci{W&8G?=YCu7{0Y|?2-j*!O_D$O_s*{3z_k4G
zn7_2qZBG>QphxXd&=E&onEE1L-8sxx6Qo=g|FDz2M1THaSNPXLIj?N3vEp$rbV=}r
zg;$iXx&*MkZdmSQ$IZ{tgzm5nmW{#9N24ZS#`!yFG`sE4MYKFF2DZF-@efY6p;fx^
z5Z1b5B1OXuTxaNZI!lc*&5LY?6E3D<u=gp;v4qB<+>TGpg|qXWGbdb2x-a*;VZ<7Z
zye*e$jkDScG%xk`R5lwdMom_<F2!Y4PN+FgyTsga-Gp1KSzUImExu2elatoj(b1+y
zQ_;1$;BuU`GUL#={z(c7swZ-r@<ByFdTR!!8ujIiDr%oX#mRGMKF<DPg(RD6IY{26
zr>u&^9Iu`c&q#P()>13+^Syib7)i*dm!Kp1vc?C!d-qOr_4bd9aVIJ3Ouyr`7BK!E
zjiC(YT3K1yx^3G_OQ(ehbWjnAygVkQ&X+^wdCaQ)lMWM`VSyVt*6zmlHzW14R=Otd
zAj5voMrw8$>@i+dW|749DbQL^LGf^|y(nVxT?cWl3i>^o;Juh*V_jQ^p*@$&^;gWY
zfKMbPB+NQw|5Sj5W%|(uX6W7~Y+LYGcHo2+LZ$rMW-UX{oerfb4iss}=?6L5IB4db
z*4jr3*B%p_2obbXXv;G7WgP7)(gD5AX59u?<v6@Poz*OVwuWHYvGtux=t&u|Ufj{V
zMy=f8n0Rt03*IkvxI42d*FN-4U<EejpHuEC9^d(M%ANGn|37?NF>!|%9e)Ey*9MQ`
z;z_};Nsx^|##{dEAw>lKDb{;*ZQlm^`^OPZSPa4t`s*@HyVxPNTk@`rh5X?DgA>nj
z5FWu1rCSXvTaA3V1Rp^HVIGC)DkAUCP)b%#+?mB`5zUB5)8N)wczBe_=p*6>43)%5
z1<k}6WKb|@JJ{AfTT$TA=6s@SeQL35RlCb^(j6{OFhh(=aS9j7Q*aBg2neXx)zv{p
zrJ~gPbD>i|XDv4)bT^>0a=K`Bv8Xjo?-}8lCj5*7kozH0Q0?6t35W78&nAw?h^hQF
z7H|6j{<QLK>)Q0ZNNY>h@2R-h#J<w5E*%IZ&EWB^Fhm7tt%W%;0LT?qkn0ykMPng5
z<CiHwqNd7fzaC(YE~eo)&b7%a3DeB$*sEjhdfyd?4(_*g++cd?@ZrN=FJ8QYe?<ZE
zlvQ<k9&DbszPvt%KIsPR3h1vA4<9|Uk3d+%m-P4t*1?6zPEjCjpZV0_y$5M}Mo&?^
zwKQq{yHgNBfH;!?&EN5m7N~8%w!)ZyL_|bHtI$ym8V|v0qH%pGPz%)8uP?uMGTUr9
zv~nY%?TGK%wF?rfI}Tc7A#J6kY=-({gHgDIJ<|+=dJ1BM1Q{rraI}Ln>q<PewsPK{
z7NngJpxa3t4)WB)Lxs2u?wc_Cks}d1hH$*kCp4>`wx2S1`0yc#jA~>Woj-;c+hl9v
z)I$3->9spL$>dR0?69(A$EKMrpHeUrP!lRLZZE{lEWwdKaWBMv=r~T`S$uS>9Y*)$
zUW}Pt_<y{WyX3D<*!l<?_(pAGG~^tW3rR$0j~uEGlZ=-xXF|fatX<|Img~x}&Z;>Z
zC4;ag2)ab#(5C22qIo@{0uk!hS11;~1|%cm@W7$Atd#TT&sQ`yL2cX~|0gCndUUTF
z2V1F^s_JI4cDNbE1go<cuSE7AUWeDU`-m+Qf-Vv+9o@|@nQI?^M~6oE-Yk|U;TMJs
z77ll>clI)5Qq4A;VD@gneC>sA^>Mq&I5r|<>GNedyaZ>D463i-d^b0CRCvF>9DQ&j
z`k_vJ>Lx%CPuj8!>fUAKg9wlKy{IX?p=rpYdGIq%UOC*{j|0@O#)#<>6@7pSq1wMc
z4vqv>Sh`q$%Id~6#1WnBh{15v>m?_haEdShbU{hA0M*nqTMIpl*pfKZVQ_s4FB<5v
z@nM>e8q3S(xf@tM!EXys{IGg5EaFevR8VPVEWuv9U+ec_p|Oz!yNbgp&po5&U{6Qy
zvc*$(_eN~RZTTVaZ-c*U)+$49mI5??tzou(&!98M<&EV^;T(iUc#9Q>K>qSRg~Epe
zCxdopRhE|@H$P)D%OMl^w)*<q-<|l}mHKR*@@kC}K8I(22We(j91n!2j|Z(wJp5fN
z>=-zF>Tq2G;1TBm!U2VocjS=?YeIw)(1m0So$=z016WhU*^1L>N%gYdYihT+>5dMU
z<A!mztoCr+ElELH*#~*lB-?4F%lyH^hyU@U5701^0+WXUdeSy-@+B!i)Q4S9?@dd(
zMZfIB2M@BF<`);?{!=I7Dl)ag^)^5|=-72Qg_0n_(c@7)np@GvTVVoDxs!d}#NQ<@
zRG)DWRkJzNs3&a<XRNC-9GkUl{_~=U;fy3gR}Qm+8sN!Dm|8ckZ>k^Y$jf4cEK7=N
zO%ZegRB5@%({eNOT9*GAn`G$i5S%X?1b3J;!+g{TrL_@11C`-uuZJNnD|SG{v0r#7
z>G)njP>;nyq+56HRECPcjqQ$e0#d#>5&l8=7-HcL!oM}aV3v%-3@%c$YcgAhE?IOR
zgwz4gj1m^z`3n~s;bXwaCcK?NGX%N%#$|}cjB&8gB!Aa^)3R0Yn54OBp{C6OTT&X`
zwpXXOQ`+J*L#;}9^w@7NA{}M>Ogi)Z-mPAZppuEh0Pt?2JLF-LN|L$~*()eWvu|@0
zVrV?Zk+6hXBDiGDvYK`=RnHq`wZWi$gs?78LtThR%jg1JMOHt)T|{V+LF4v9Th~f-
zY;5fLyAe2$2_7v=NGk9ystGvGy++)(f+4P8vgS<g_vdG}3Vo>>v@~kZzD=CC26;UK
z9t&2SQ3h@26P)vjh|0#;78jdBc&W!=N%;&tyE;@vCq@ouQB?Y7;J_;2`yqHPSu6#e
zmpdm5ot?Hz3Rp)CHq-a=?>lQqb8rI3I^0h-+%LQ`r@Q=}VU>AmhqpdN8z}FdjK}}|
z_bkytm`nF7B*>Q&9?kk`w{T|I=)4$V85ToBMsD}xngfI^&o~HguDJt4!~%N~EYU{r
z-aUQ#v>xpw-oe3a0MOuY2pJ8=AlB2~rRWEV!vPZIH{KZHY$y0EUt*&G*hBs#8gcdo
z9J9r^z)zSP9v)6CZX7=IvD=Iphg8CX7n1ho4RP{^R*rep7j>k`B!q@R==z8+xz?ir
zeYK$+B>S<P{wc%>5*a;vn3g!W5~aw5trtLgVF8Dj=)~*xm=ukj`ld=TM&K1hPB_uO
zEi6Jvr$X6<9`a!ba*gmUreiO`7bJ`IX>n^7XTx0vbtLBd8y~Rv!+Ih{-b+uf)wA&W
z^+}{6De`Ik8ag701LUA*&5y9SBW-3k${{E+k#t;^GukrtH`*BX%5a^u8Pg=r4MA!_
zWwdqsc148N(<tE@V=t9tIKduxRNC)f6488hXWd_WX=z!Wm4@HBLji-IDmw9VohJjk
zvS*;oJVhUL0xBIsk0XMNy!?w3`<`KMaKqq^b1B4e5&`QA`ek)X%X9<@!Zc8MEtMIZ
z8l0_>IB}Pi1S#j{-O<VOeLsc0lGB$vA7A>g-pp0};D;~J?+B@6dKRE%7>8!4z@<sG
zXAjXX^Le^NId|ni*oT7-RePd-t(QBJM+vce@BaO2BRp6rm{>BVhJ_?x_cM|>?+dS$
zhQUN0w}NP9QQ`~}77r<Eo2~m$Ub<0pG8>6Eh?lnrt|lDbgR|2JfNnDS25=D4H_?=e
zkic#pNTeAuPG@Vq)@BFD@NB#B<{h+*B%D<ih^CA7__)(<Bh9h8>#|FZtV>}e&Ked#
ze7VbS=fZ~bSzRd^nsC^WkkW5>8hf2MG=-#KYdg0i%NY0t-NupdXrZ%jh-fncY-c2G
zraY)9E$x<R(xE=G0+$OpQlTr?RJ1D!y^1NA6#{z-*-w2!(_$i!;wr24!LRvu_&FX}
zigz-16Q?A;EvfnG(z~%5pL8NKIN$JuGuz3N^1oUZ37lin+{=Dsk$VWMazgbjD+wP+
z9Khl2=@|yA^$<4yXJAHeG*Lq2OVZ3ykO?^b<N9wj@`_9t4lI}LM8^K!u|o;&bnY8f
zG{gab(2OnIlSi9VbW#r)XfOJ5=&)NP>5XEn(Q1O&VvKXbT3=ti4}(h#{$oXfjD8IQ
zYHhvgGBct^sz)dpvSzUBjw$J8o_PIcNe72%ku_cRMFA_9CO>=p_ywa!m4@;4A~E`H
zZ|M*2u$|nnapRy((PA)h+8dEI5YAGE&)xhDGQ=t>>ChEak?vw^n>`#h(T`0#bI!nS
zw2PT$O0lan=aQ-_L~a7Rp}uU*vq>TFKZ<7~9E|ex@#9Y}AgR||Nfd1;82cDlVuP~+
zHXgKA{@m=|M_YL5aR7DDBP2vE-@LU2@I89N+6jrgQk_Am#N{jw%rhLs+Q~Sa#cwkf
z6#30`lsDJ(S?M?Rn(Asc^Dg+Gcehb)-Kv0G$$jnp-^3xR*qUVIG(@|h*1noE<6ewO
z08^v6y4S8TlCUK#974nQ^2(VZm>CPW!3CJrJ5<uJOlx(5!seef&Ns9ktxzPE=8qrI
zo}cS8*(bT2K{TTNQYlZ(UJfV(N(qmMV4@N-HOBVecS2QuXhpzg>;wsYv9}AX5d$U3
z#12OK%W0HF9$+GEqh=@In533?2#&a+;^!{KSqV%e;`As4w&7_6CQ@%`X4s!iy?Nbl
zTh7Gs)YMe+Q-<nXgxO`BJJJNOW{EwyKH@5eX7($<ww%6VryfsnMXdJ2ZRN&Ar`G|r
z9E69B(GaT!{T|+yP9e=GgX56tN@b;fv>K-v5=ZLdFx26p2E=Wg{Y@AIrlew7wJ2p)
z0n;UOSI%am6v!3Z^S{{p?x?8KE!$GsoLXB@#Ly}x5Kt5miE4wENRTMm0FnfhoH4Ws
z1+<W)1d$|?1SxVdAV~p<l2t$?6d<{XZ-0f(%zby}rM2e0`Q!D{ySz)R`u)Ce!an=#
z0|g7H(j6h5c+ZWar%(Gw$_Mduj_>ROzjw8N$U%5Lgl`qF?+{En-LsdR1?URzRc`>G
zM6@;0F2_wpom~c&OGXjR4o}`!T0V?u;o8f(M58Kia8yZG2&hp+st^n+P5G#oZ>PYm
z{TfYUokyu{kbGG{tpFcm7@T`{%@8zOLY4L5+E4j!-+m97nKVr7mSnd5L9KvOVc43r
zGn~+#2kzn{+{UQF!onjHVyHJmQuIRT6j<Z2WEUFrh=9t57|{Nq&}0I_8)AQp2NUf#
z-Z+pT2(s*IM0I?+|CZ$H27(0L)j^Zie$oYv4lj*Rn}n<ZcOnD#nJziiso;oiHj*Af
zbx;Gi9S}cUJ|Eb}tLG+mS>$fpOMF>>;lgIrvylKRAk3@;Z<!8+V}pq0Uxdi~V>Xp|
zB8F=eMy?ZFb%x`xN$4=BBUNY*5P~~`+BL7Bpc3&&br*>vCvsFeS&>LpW@iL|l>nka
z^e3$WfR;q!7K^mne_twhJ3|!y1b_GF;N_>#&lZTOCOvnZu%9((9)L>=+cM#T157mV
z2q8BEOlwr9*f}^N;VVfv00BLz&;_^AYhsLOg!In^+kahzW<zznGGSPtJC?NeH37Vt
zH<EaIH`xR@nEjv#L+h9Tnuy4iaT$kSFA*R*b%c69vUVA#;9rDfLy}r}NrbDUJg?_6
z?4t|l=SagbY3W^XTHxZ6Iu_Dy#B;4RQf~%^v{r5PocDS8-IvLRPK(f<ssh2qxsp=2
z^Q++j^YZdmjm`j2FxMBk3F4?a?mlq0XHTB|S<Ck)vH(>XnVSR*!$Nd94&X*>rkn3O
zT!;L%2>9EF<qj(p``LYGMptO85_ZU38qz-bM%mIfs|*0$yOx#~p;QeuHMOe^C6@-r
zhJ?o7u4HEKZEjE<+ie&$-*WrvjUR?heFbLtN-EM>m}6Z|Ody+#Q|8j6SOwXNVbOyE
zx>?`bO~ew=M>;ULui)e@s4yamF8@IQ09~ubX>rLE@7HYCwL4TD5K3v1#%l!a!-ZSD
z)>d3_MgCI*B7Z!g^+DS+>I*|%hP1sQRVDmE)dbz9hIUHi*|F8jASh*fBNGk4RS1E_
z2K0~41_NKk5NQ$`F>;Bj1U*TO-5hV~Z4U*p&PY{stD`>$#s2P>Tu1F3=X6shzHEEr
zY@Q_?RBcjyk8>Z9MTPmTEl+`Zz(b^Ua7>Rbs0dS948{~faoTGw5m<ScZ)AO89-rG}
zD^W2&>ao$RacC!UGqlsHtEfB#P_xW*4W+oaf7d$jp}HMUKdLqn%5a$VNvWsf)Nl*l
zmmh!uh6y}x^q8W!@ut^jl8~4NEO;^dV|g1$B2?MgHpf(I7Xho#l0lzDF3Z&<Hv1El
z&ohRz`94`s8c`>}Rj>K}3x}r+<gL#_sIGSLVyvzcLkO*|&s?X*Ss4OQj^`k=A`}#E
z%!PN7Ay_l(KZzpXY`B)_1B=fEbH}&K*avba-)Aitg_5^}Q$qSDW<~k@Z4YuvY{NbC
zp9~s`;%`7Th=NKJH|z6uUe~(*+(^m#UTVoDSvuu$sw{<~EGYI9hh#s>?&g+XHR(Z6
zO8eh`x(kVS=MqUVB6BGvPwtZP+-3wJ5R{U~Gtt7)-`9N4oCW1Pd&mMlGs!=0{B7eB
zf_xKAO`^+(9A;-Se;FaW0cn<{5hRT{vG3Vh)>CaAYY$fIk8rckT$-vK!^{eFt<Kh&
zPx1FWR#EkHm;q7#zSE$Kw8|pu$4%~Nv{spbX}{wHD}Q^k%JR6UX*2(8apwH%b101+
z9d~4K@B0?pp?No!;KZ)3(stE!Q}x;b_&Tvuvp@n6dTy)_w20J@ls(|K`Cfh)-2qDQ
zJ?=q`*)Zqv26KOrRxgDBB7q?LXU$;9fFy3U8ziJ^dKS9ge}N<vN{E4dUM8~cT1!N^
zrgi5MSEsv7-+InE3IBk{pe@rYz8!W%iSgLS$KaCC?0!=|XCh5~0|>puHgn3)(>>t%
zX27iU^_-l>)*`=t<|TdxPNh%N*0A`-<W|?#uV4QW%CUeZf+<AZKWsB6%7GcaSPYAQ
z{Pz=(vV*yzRv;?{chNRGY)hokaR@O$A#ocOx)_Q`9X$R4AhJMV9mvaeYKHxfrx39T
zN2}ycP_5~5pc;aVsB`ATO_0@n#zTJwd=$k1rqk1pK-Ie8L93MR5gH%6oCyqX!u
z_$EAIG`e(xcm9OIDS)B2+7E(=eG&|ON9Z-&ZQ72Y9sa5k9zg6@&>jvPkuWK7)HyVT
z?fcKbu#<8{UN^2i{1gJ1I1K(MZnT2}I|-V=l0;@k(w+wo9+2K}B9M;=<mr1e^#lJC
zVCsXAhmrB>+Q?LuWJkrl_WHkB5T#IK$dx-{A_Ww1cY&Cvgm8lZ)^L9bpFf{buwB90
zE1pEGM<+6tovXi|sAc;EwCTv^`22Gp;i1tkWoL{?)bV@htrJas=~f-2@Q1j3jlDR6
zCoBLN!N5)ZiDSt&xf*znYWQ&P*b!C8Xl%;eZ{{c~9kYP_`Z2a<Lbf2O)%E$y%w_CY
zU;TvkvVlQpdT0kFR6QS)7Fd>OI9wuMTLm`7mQCyRfG$TvD)2i}A{Od^5iHnY9xN1I
z2nr?$TPKq3e|%M<FQMe8@A_#G@;)R38YF-KtiNymxn0#c{|@Nn0z3u)%5Jb5VJ>*M
zx!=-Dfq)~VB-$ud&>T^!{+k9Nfc%DS_Sy#aUOUBIRc8&KvpgY5ccQyWpmLgM@Ny&L
ziB_2)5e<z<wX9xf*YxGmL12jZ<=#Z}3lX+xzPun8YJ(?7eMub+n5y{yz{s9S-{o+G
zToA5z=(z?li1og^$4LSq@}9(VK^_Y8NpjAO*5$h8LS`?NXguQYNLR3~Lp!?;1R6fM
z43ym<5+=)_TLZ9rF_Nvm=4?O&@pBvcKoP_iU~C309R06po?g(a2b`*Q#>wtmlucAi
z1y4!hPF}ljoD%5mC*NLJc$_>LuEY3f?u^d4h6s@r1EY2j{`S}?u8D_wh)+P)yv!jX
zLL{CbAi&oU%x(wTWHiMb>`+BR(!BZeyO4D59&oY$+L)%Xbki%+YgNY>5$r?9V;|S)
z*}BxTi%|QHgH$OFD-~LryOg<rWf1d8I@N+C-E_Zv`C`r>WEiRvgtpf&KNcNzcBiqc
zDiBZBktG_)xP){xxy()2v113+Z#3K{8d?Y%29U3kUi#(IcL-nL&o3AEkTy?(YB^#E
z3bI?tP6(jd#95*A27m@l@<Vec)*rkiMR2W$yOfj97c8gaSSm6ctiJGLpbt`B{uk!B
z8KhoDN~Zu^*&W1sY@M#Y@2o9&63#T1txOOtw%T3%Jlx?XN{<>lA0yU(49iX^*hXl_
zxiP|5;&8vV1qEE7i-mJ1e0HpPSZu3}%k&&Mh7nBTBQ#Dx{YCZj6v{lZsB=OWR`=>I
z{Sr%gwZ9Mm5KX9I$lN|;{tBN-*@{Z)!6nsLP#1102_zdPlF|P_vqrl+LddS0VN{Rg
z%dIj54L)`16sZ&ex@y045On@%6s8EicO&w-J&Ecu3x^mkq`Sbr0c4?+uLgWq7h@!j
z%o)Z~5<vlJX=!6*@{m!!55NqmAu8VDD3B7>feZ}rNu+z?z#xLHKyMn19$``uRFEa{
z+zDM)Z*Ia^MbN<Bh6d0R_`~opBG(+1g2E=(CWE($d+JdThz8`^2}ML-d<kM#<ez_1
zNvsCrpkfq~6u7`a#&dl%N(`Ow4|rDe7<9p|r#Bzf@Qi^$16+ab5Fv7SkqN}xkQ4_B
zQPpT97H773OOF^2rC)x@iHZd@+7uy6n%Ip-H(+zbBc$uzb$8GB!dSpgm6EzLIpyNi
z^>wmO;LkswR9UgVTFaEYm6s<q@3-IV6CV}x&Pd0`<}wqWSx!!==Cs6omBGb`m9Q>t
zo6&ut87DD1b%q1%HQV3j?P>rYZ4U}q^D=(8n5NdfwMrK+fB~8#F+Ny%F7c9?)Qtg9
ztdG->cVkD1w`8Goro}gDz~GGmN3O#_6@tV<Q0p0<H3PS*I$C)Lne`(mn51pPzO7Gf
z0G1o`2QI|dvazw@0_+2T6_+=HEsg&e2#Y|lUG46<bLUn;cQPBwe)Il&;O^C{SMfHu
zkz`O2TGNO&@itjsBZxUm*R0#H0aaDC^l1;y_3L9vr4Kp^j?m2(LMJ5D_N(bG&9?0>
zJ9UgFvR8(A-uO5@Rv<|v@-I)3vKP8utFWuA&%*^K(=4>RODs3G)y8QF6R!Hrsmx@t
z0y;bz5lJR5M>I2lIh?{tB>5_^ZxaA5`8CFE>0g%J+~Lz(DtDP2_Vpr4Krj*k9f!ic
z25dPvJUS{Y9VD}8;le*p578zit>?0_WuK<D`_5Pux}E(oPkyeh*W!f>6`yzo?Q@u%
znlc~+MVW{W)7tNic~WzASD*#ms{4>H`|nbD-G{*zkQnW|Bi0*y{(^c{mgh5n9H(v3
zjfcC;Qk%ASI_7DuBOoL0JsGD$CKeDq2=vAh1#)Wbf($YnjI@=eca<c-^U=bAR&+w~
zW7p-0Ul8NfxuMM-=&DvF8uj3AC$<c(keqx$HUM^=gUf^nF-qU0!>zK?VUhx)4%Z*T
zD>GtRg^PneiM!6(c74s7XaXnq@bfUP3Nw3hpycNALp%E}!wiHGh!(Jd5!(CWKTd|Y
zj06Cmz00W8>IgrT<*U*R#W+Z3-N>-(i$}DuOI%zBd2CGo)>D8p9|kcRW~LS{UTpb+
zliX~8;`Tookc$^Drg1}3-tXXwKg71~-u-@9HfXS;%qe}{c@4pRs)=r2A2k3Fu*ttw
z%IW6j#wwi>rX_R0KtNqZggGR1h|dGe3tYx{t=hdM)iK&!VmpDna7tL4-46%KK+TXK
z26Rofwns;MNakwx2GoQEsODvlwF0xOvUaB$royt2fEjaM(0Tm?SWqYIJ<$TOMlS>a
z0y3}$ge9wVllN$+C$$|Tlr4y1Cv{*_BgD0mp0AE}xChqayRFolpX2~A{W$!4rXFZR
zv~ZYAjt2SW{T#U*Yu7%5f~OJq{zNujdrsyl7S4Az`S$JGTl66Melxs#=H~l^-5rNr
zk*xApy5{fwng$p5SQEMp=*itoCCV^>CVRO?y5p=WcIr;qCBt?hE8(M(pOKgvQnv7&
zO{bitE?kJ@_L(sE%bF?~EMb(FD<VeFJ^$|BM_@KY=^wq;sx*?@s-ITXg)y%}AyDW{
z9)%R(iO@TKv#(n96jZM72>0ftNIH$ga<kiCQlnxF!wzaKTT0d~m#J~yzByXLj^%2I
zi`;em)+jojYu03e!E58vL>cZ}iW<Iye@cc$X$yT#8=siy#^YN}P1UZr%Ilt5N)5Aj
zdGeR{b~)`5)I&o@7ta>eB{uh&7Y;Np3P_#tcpXwf>hVN7N+(zLMe>TXng7c;t8;H5
z*Srk0wa#53%G*W8{N<-ug+19V@OjCiMVB-A?KtZaP8GavD27Eb910qfSzn8}KeI&x
zbT0di-Cb=F<Sp~VG4HXPL<6E4`^4GI^z)K|Z>#wF_M1AaxGm5-!blqbVBy-TS?X5e
zJpCdzZNVo58GfH!QO*D+7EO)~Vl9OHzOauZcdR|&FgQbM+W!c{_8@65tc4t@PUYFj
zk<?s1^-aOOC<c5nGZ0xJ7M)cv3_nExjqvVDg(0|o*k{L94`K7P5Y}3XfBukZcI4b^
zM^*@}=n4?PFWk~A5ShrPZB$%;J`3u+9)J?`z|l+lVT8CgY~YLj&Xh(27{&x#QyTRX
zF0+8;?54wts?*4{LsUHr<7{!e`Kd(c3ptBg*P#LEIYbw(^nv894;dXtYL4->gTeDo
zHEXrWHuQO{wb`8&x4Yx&4xf%R=y*cMT@Pf!Dj=eOczBWQoJNXPjt$YVvRad0X!V9G
zYh(Yn5IfQ>HgIkm>-qE6ynXi$HPGa4k2Z$hqbqiZBgO|qW@7Ooose3bC-W8aNDd=e
zvi$IB0?<#|#wU*qQL(0llW7k~LMn!t$47y6!hW)gGTvf3MkFbbf%udVqks}0YS-A*
zlNADIgRRB)11y>Wip%x|S%2p`xr?a{WNsgT%k;dsiL+<VLWS#jcz0MhkpVd4`jylN
z!I6YAzUsMi=MoFZ78CBGwi$$2P0<65u}$~6jS(%+ODW?zoQ?Ihl*>F-?`jb)R`3-S
zJ4F2WC2Zr`{PbbF*rkGN^OhhRs6zaxRI6OmIu3467etDcNlgSmA+>hXnHfMfvKbpU
zt{J`mH7StGz{M;0jD24BrGqCXi$8p*hWHgxK*nmf(EE_C8vM+epU^tXL$7liBT{TP
z=|H%InmAa9=6x8*LLg%j$CDXPtAGFf&%60sP^<&m2t>6Tn40^YJ0B&X?tNr}kVW8E
zYLHW*O129>2&9x~G@?dMhTYul8HJVsNqYgXiK~YI)kL~_0y0DJbYx-&`==df93=A@
zVc4tDAB+^D5a0}g8X{95E0C>Xq|%Bu=mdn!oxrun-)x$G0?So9u>_@dfMF;rDxT@O
zLqstj5fTL%U@}Vub%Y$qHtH|z`OE~to@wDl-a9Z5rwCtw^aid=qiEA{k#Rn%hS!bC
zPHXW!v0HYQI4G{lY|{NUdfK;j95|i{4iJ1(MO26@k7TaimNLLkM&Jw_Lc2Hbizzym
zz1_h}W}n#SW$<9tCfQ%q5%iJ4Tga@cY_4G*9R?{j|D>--ZNvH40CuYi5k<mlmsH8X
z+t~Is$NBsF&$asI8;(Gjl+(%hP?G1%$nc<$jmJg!O#&slS;GM^W7!=_>@Hm*dX)Pw
zfBmaEK~E3Mi?;U)f=MAig+il@^vDFFYhys@M7@GcWGynG^MGedKy|1`*}#P#S#bw(
zN+kjfR=*kGY@#O;tHw(Gp(JAj*dzlZAC~l>2ZNM!$qY>hX_E9BKLtoM5@qRb$j&N~
z0x7D@J$u&)>fa{R2ckoWR1Alj*eD|6NVr2cQoP*Vl>o6INQ(gMl6H+=AwR59?<%WQ
zbN+$w2@vLLk~HHYdTWhXRxY_f2pB=0${!9ZJWKk}U{B^0kVb76Z1Ig6E*JC0iyTp}
z{%EPcn4+|;78Ql@620lCC|DrGUaR4L3|)Y{0G%2P>{VcZyEz^JEZ`7z-VjU%LDYKd
z!PxP<wfLJS3<ajzH-8RpeDRrg_e|fWByRHoTTY1*=B=o<9{Z5gl0Elwb8}65U&hA9
z&P}C$`SzpJbm-330jKj>sWJT;rH7Wao%GlEYWqKevQM3a*&8CQ8Ysif4SUTa2(yF2
zSE0aY_%(r(gSH~(=^WF!mYQ$=9Vq*uBT<DXrR&<<>0yD|qmLCO{t3pm|9~Wv(CEl8
zPnEDYXT|hHc1(GgUqU5fTj{2AbWPPTnPoyo<x;5f?~{Hpn+?8iMQR8DkWT(3aNHvF
z)MO`sDh-oNI(2K0hET#VjA#d`fTC$MOJ}k3-(TifG-v(n3v9**3qiI7Lfulpz^W0l
zcaG%19}zJ%90dJGryBO$LjR@<C?g0?T%uh&DUAyye-_&n#zEhB2AslV$Y?a`*yTe(
z>m;1hK%KBx`+ez}wQF|**qP`Z4C-wB?1E%=7GQg}5GRm0pyw`N2>|VG4RxpF+5f7N
z_NQS?82WOaP_P04PiI33&<2b9S7x!zUrGYSj~`56m~W>3V!~ax0KC(gX^GDCwN1N!
z!b23wq&r>}QwCA(B?_kC4`k}DK<E!p6kkk2MQ9_`X88NBoi}eDr_L`r+}M7gv0(J_
zpgW#uBy#Tpy^{#z@;3T#<AqTBGzNx4EFx-#xJJhcXLkc?1Tf>^Lfc>t8zIRMql*`9
z>(hI|1#A55*-kT%S>SHUfvFIt2f=(%>-tBe-3~3^@zI<hlj!Yi{7_~>Ck@T+o}Ov|
zMaTqMNTjXPnGIlkXm12gYE(~uX9za7s^>SbQ?8J@06!!@=<7iX`8qN)C^^%rshgy~
z=;yM?{8)0z{8DUc46yb4z>*RDx*AW;53?IY4Wf1cVei?W?ndPh$KCw68E-bq`?CI!
z5oSlZ9BNE(J{D<HD4=SWKwayneSBsO&>hW41TX)*9h?^6CNZp7mx#XXhl&)Jc`gjc
z+=*GD)Ahh<NoMv$MrzEZyRBu);pKZQ{N_+1K~)rW9=oKTH-RjWcl&l3oNOM;28{nC
z47T`Ouk|7ozrHbfce+SLfHElX;<hsD*`zeaIGfHOxrA{Rppr^Cj&d|HWl$VSC;b2$
zB%Du^iA`Xn5uzN<%5fUT=n~*@?N3S{koetij`eHq<{(C@3-lro-vp?n)Qg4J?2#ZA
z7!HjPCI2lZz12RVdxb3Yn}Wd3Ao&DGCdr=YKwwB1juwai9$Y@Xn}fh$gpL!ho&FTw
zg#~+XlhK>t7$_nP7poR$#ZP!BF|T=9Ot=YE;E$&eX8%H0p|Y{dUf=x}$N5S})5Dcn
zAT6L`PYyjd6=6{pXVXtA=oN**(|Kq<rUS1bxgo3EY2yHyY%@}rrV(Xn@bV+|OMiav
z8OM!OWhhBkXFJ&u!tpk9CnSGFM2QxT=z);Yf_MJ9gU+7EzI_HOJ(stUf!>guv9C**
zO!g*KI3k@A<i~@5{Y&A%8-)WhMFs>08Cn&p-$Vr$x8i=a37_QzRA|zC7yTN-p63GM
zG?7&`bpTB>-?Q<9GBN)Hi0glq1yq!fIKwI`WA~TD5xM7!2ehsx0IVVAlBoYeI$rxT
z=Mg3-(eT57q3JYmNvvGjqrY6}`WSW#*iAR*34@<=j)~0vlj3{I4@}ukoco^@Qlz#)
zctnt(bc6>GY6D!P7(C8?u+QSayE4MSEtLBn<Dl(Acw(dnGk^+W7Z9;Z!h+J)b1+E@
z7%+i&?5NgC)wcR8H1Om8{j$sxLCit@H&{A*W)s2m!OUinvqM2q&jvI^3&*anPE!^k
zHN0O)d$Evvs+bVvO54>d!bsBTfiuD<^X01V2L&-SJ@4Jy|BG$62!j!H$-r!QBlql>
z(>(s_II4ht<d6c_=uHo-p;i!0<u=z@sQr|QiOJQ>fRd-NLXFV6xrpMV3hsWk=7K9v
zVTgcLHq(1bA1+}Yn|zm_|L<@+14jA?owE~xbiQZ#hlUG?(G0rY++Oz|kT5L-+tDvF
z%LO2WOiL%A!{8mpU^D}nzX^JC)l=yu;uv{&2;{Q|6RU+6BxIW5nf@&_zS`ez3^BQt
z*<+~l!WTn+ELaH_Yc(=uVB*U*ik(IS)zmUC;_ng76Il)1QDcZ`x!=2|f(jI_Sgadr
z?>9zv$(cz>qu|E1X;YsjEVb30hFlP~<J)mWxqfkl_5Tt3{&8CJAF=P|^HZzy|6|_e
z%qAzhjoZ|9I+l$oXGeI;|9Sk(pK}f`T=@5kn+%V+p1aw$7H&DX^UtlXcRt&?r;xVh
z?VR5<=DzvbFSyu!=fbVm3%BeP<z9Q>>YFWE_su9*ci)$<2<mm5DeOG3IVfB-T7H<}
z8f;}rt7^)zNo|Q!Xc}*-lrMQ?8Xth+^!lO3_4V~hmGYwPA=8~9mWTrk!3!}qH!nqM
z;sbV-@Z*a~RKHi3)Lr^VtaX>jx75_6DCWLdB5}Mot<|#x{5oH7$HWM<_2}{AL0Fk@
zpy9vg(7N~ld*GDV9Uiu+Ne|o{CP2er@azvl(9i@wiq9U^$NeqTFbt}0pXio1D_2()
z`-~!<OXa6e{@hID)<MX7-s>r@(b<n&b{B5kNm^`DF%PrHP*SUt)H<)s`39^)mevC;
z!4fgAmdS6zR2qDPLt>Ns_Cc%r+zvn^eH}DPl!%afAhgXcc*`9q0;8R%BPFM%8Y1;e
zhq*+&Nei;A-vxx@Y{!1mbwd;YSwD;++1|dszT}6YMd*OamSyAR0=`7iyYq(ibsH|e
zlq+tx1YYCE?Eu7GbYeXe8kvn9615^N3eI2uU{)u%`k-#d8y6QB)Yl0iwv)=r%JPRg
z!^LonWn&qzE@cmnZ45vqNR+`~1c*D?x{kaI*+!L@V78qMk;t}c46d5*qMFav92ps@
z?Zlu{X&^Qm41NE|tSfU(DNo&u!(E)3GaPp#Lq81zo1G>V50J(2A_1H~Hx}`vSCkp{
z6uR_50MEp!mKD?;e3vJ|?AlJnIO@=i0;U@1F?qAX>iymVeN0#Tu+>Y926l~vhlj^5
zpA#C!5k8i0R~~DVM95Lu*cb?7;TKd%G%l&M68_BHTozfEySlrTd3*$+5q1&7jzs#h
z2C-K$)-mr40@RNk&koO<^gr)ebalZ-|J;epTv;6*oermQOk@pdFwf+pTEYhjB&J*k
zrYSl8(JKi}Dp4vt5s8U=F)!CBXDC8o8+D^||10UpPI6R+i*+YJE6aJ=eFG;(_|^v7
zPe<nTp~h%cw9U_YdM0<eJ2wd*JS?*dOOZ!`B3C$flav2M=&g<QbuA`lW@e8bJ+ds^
zd@DRObTh;@rj!QV$$n9N1wJ#3m*GS0>KhuYUN73AkMKmN)C!eY1zID<WCSJHh;cJ8
z+)(?Qrqg-dCOWuA+o^soo&4WXP3;{Ro;R`o=5%;%j_*MTO0up5&XR7=LEJ7qLJD$b
znCf-M39`;_Wb0Y&nD`8n)OUT~Eo@#b2-tw_K$*+M_Yebp7Bp_R@yZb2&<cZ?(AM5M
zv>sg!U2u(WENbf&7o5aHQAjPPl=SpMEWp>T170xLGBedeG&?yaD5=|`+p;9O0t|zT
za;F+{4RAcmz(*5p!2wjJwWW6iYkeI;Jl-=f>?!L0`0-=EOquVpj>9>FxK5%3P}qm@
zYedd<g;>8-FC^8(z#t>WApxwNSRCqX4HACr$piSfgNnz<t-4H}*LEcJ5Ymt=47aWW
z!*&qI@Sxt<>ovaP_v1Vbu!##wv@H}&?a?Mj<Hng^BL4fuSCZHgY6a7d=G=3BQwdNg
zD{M|1N;!pd7OcPT1@29dOG6H7eogV|v_Z{s)HJ8S;n|MbgDWPZ6}<;`cc(9!mrkea
z<TN);-v~A0+1PKMQg@*alY3sin$KmOQ&V1kA4PFtl)%gI$^Hti1KxM17Lhb0Z{WNA
z*u=FaY5vk{F7Y)rH5b7AE$c%YY;5|sM@(Rc-as-8?o`_CK98~q>jl22{V@!^I<4<l
z&*)4sk>MtlCj&<*#xzPF;5;433d<t=bRT&fsNab#wMBg^fD9^buu-?vr4E3|-;rD?
zFMIy{`RNX~=^eN+@*O%K+AT%+`1r&hZCbjTeTBWA{g)eAU?z|6BTxDK95zvbmIe9R
zlKoSdRR)RFT5jrc(ViFYp)Hlz3UioArSYYFIv3ze-z{`8d$@*5gHv}1=xBji#b0bW
zw!uaP8bCj^Q3NzLH7(&Z3_L}5AXHi^4WpR<1m93WP0Ng4x*%>_(L`TvOKbg^Kc691
zI^(xQc7l^&*HRIT7jKqRlM0(+#1m0`x^R~-r4VprEoZVV#wF@fX%{gQyCf?%xTgF^
zIUNU_hYaYI_8kr=bKYJwnQ7!?stfXz0*#2->&Vys82_44a}Wm6FEb@yL({C>557R>
z#b6)eDK*Ctd?iITnRU<5VHIr<d@Nd}*voY&jJpWqb{YA$qveVBnitxyQGWw?%L+i(
zjsUmR0c>@u;-)-I3n+p!dW_$qFqK`-Q)rTTFW~y)ZWf9!L3Y2TrlxklHhv&xn7a=D
zDpR!~>3vKqe@DnvkD*R{nJ2>*kXeU<+qiNETLS=`>_GdkcSLX-$WNaB`Mks&iq2#w
zyPA;a<uNPRV0V&6=0TSTg}^>-h6tfeq(VqAXrCQAo>rLr#!ZzNj#l8SO>)$H15R_(
zdJJO<z<lPMv3!9G5k6`sqE+y#82kLPX#3-~aBuk&R#sLW=#d)?vBEVn#6_2Pad9~j
zp=4re`m*#;w?0BFPH{);X-3O*oR$q=NmkB)PXaep9+Ttt@82IDAJ4yR*|H$!se+e}
zQA6=XdypV*3~W5--gAGsj=kCR4UKO)&DH6rWn-3&C+T)R{jx)nNu{;j-s)Khg0g0(
zG<mz-HQ-z(eU#y92T1WAg=Ak--3@l-t{tK+8f}~P&`<Q9xDe3055>f#)LZgJMF~AT
z5fKRA>;RsG6_(Qwiipv1ab)nLAT$vJFTGwAAZT!6db)2W$4UbC#K9bul}Y5dRuVt%
zD1@h^9Kew&gFq6E94L$svxW)JP_0aQZ%Vv6y3CVsFARND)u>upTAEr~qM2j6eNLpq
zW>}#Mmq_@6@=}BcxBPVWRy!>C``pQrT$OV+w#LTv!+L5w>h=m##DG35Y1f9KX1-eC
zdS8D!^#pE#TMguhtE#K{E{|iN=u29=N+Yb^#FR1@{@Vu$NbVx6f*`^Q9`*fufHNi!
z79}8j>Hp&a52u8)eTPF#>z74S(w$whN{@zanfQIQ@W~w$*wvSOj9&80KO-Zf)U^lz
zV`jMmMdR|g4cC<48l}NEtuZ>%xvCrK=EZ;TYj@d4Ot|?~2>Hcbai1SKuslSLdEY`c
z^Pc-U>>VvUE{+e~Xfc*T*?s3XO`J9{;c*R7NiedoD8uuIRG11xS=S_1^G9jbmrY(y
zD!yGhW#Z6;<5>r1HyEQg#j{|e{Tb<R%u~5IewH|19hjtAB02d+a;R94;(MXUxLfeF
zVUP{SqNk-I9f5&Xr6Ns_nuWLGIOGk0ot-Us?(OZ9{(CkrSbs?hM^d^&kKfM<0F@yM
zazQJ^*`D1z=RCX+KVHs;GnfAP+L8hE<$QygOc<MtIvGGid$<q=Ii5Y++cSSW%Dv^)
z1U#pjqc1se;<n|77qmOIOz0xgu~6NguoH3CJK>xMatG?TiEGXOw&cZbV)9>pIN%dZ
z>Jw64)ipKWV1b{HIm<>Uf!>|yUbg0p#@I3z@FaDZuXaP0oSa<H3KdghV-5W=K(5m%
zPcqzFb}uDgx#tO=dKUuZdd_}ZgTnipgWi<14-D*PVM$lK%4b=TQip%$vx`sUv7jPF
z#aTk%m1~;uv)U{!>JDQCw5jDWwwz7-(xU6xDXVF$4(#!mvu~7}4MI%R=ST^xB1C>E
zNfJX{{Pe=aZ%*D~#l$P42%4yJA71N>r=+CtU$$2-m7JM8;X_DFY)Y^Vm@x1hzznZc
z{@msz0$G>RZ~p2Cur8~xh-RU3PZTucMePYeUhVlTEz!{^eQq-hb-I!bc~MIF(F`Nj
zA9n7Xg_8aUZ^e2}3T5@f*(UNQPkw@X^R~@mfd45U@jSkMp2~@I?NV?<20_4XL*=Cu
zH@*VFD6wHt!Hy>M5>{RHS(@t~{SpYhM9}!M#vvR3Ev{z0+)xhwhPZZs<#kA1l7Mz}
z0KG0n4x-9PV*QMxT<#+K)OwSci}Y%>pcyiO<@qehNvdz~K8r(n<=U?$P|59l8cIW9
z!50>T|CU)&(RK|p{JTriylODZ9l70IT_hmpQQLP3N6~gVGbcwvNGQiE`sTb^CpS@!
zdK1&uy$`daV3viZj6yW}167ojEBiceJ^fy0W}P0odGNW;Uy^Fd%HA2~Jpv3H8)L0G
z!%J0gd!iY~3K-XL%W@Cxm?QOIp?zjQy3ZsT44s0FxT9(yL}jyUpBi2Y3E&%=oAv;v
zGx3w6frF!(`M3KcRlSh(YW}C2OfO!1|HL(=%=%eEg5FM}@I&KTT;djm_ut3buADlJ
zyOCO-nC{^bK%d*i`3w<$WtBq1&EDSg(y3`>cPNT-bDP=2v$abl8z*C6(h{b6t@KXH
zMXR9an{p=o{df`6IDOQvnm?>%-GGmUVY%Vxb6ZY|;@-K<{OfJ1PTgfZ{es}o{=$bY
zrpq!$yXA$l!8dQ3_k$|y%HF?x-Ts|6HiIiZf*TVa_hH5Mn6n7QgPQj5E=g?h`(P#C
zrHVi)pw??70FD51$OnriT?~7*N8QwqV)fUpTSt4}QUE^?1Nn;NvS1y?s&V?r$cQ=p
zyqPCM7X-~LbF*6xFAbx_3if`~(!3yy=AEXG9CM}gwtQy1K6`6J%BQo$ll2&kQ7Ur$
z^ZbiRc9y%?-qh4ol&u-8oROFnKcvYHmtL{c@SMtt-EW~gUbeDwG&wmryb%vZ?D`5i
zLfffc`<?EV>5ZKIxW^+2j6HVoQ8Ob?$>T5tB5KskjtUTVm}ch74apy~O&scta1mV|
zbhEDIzn-{%x^&eR8<P$oGhJ_8emH2x!oos<CWf(Z#HNetN#aj~oeFM_H)>gJ*owwe
z+ds>FldN_!PVg&fXIEue1F3{A;W-wFLd`J>26l(sgBP#AUuVfh{NK6W|71FU-LQXp
z-~UV_^Z%dXzna<qf3hRbGECMe?g#Q=Y+};&!y0BuK;_LfH4Ouws)r|F%g&jYOpi>J
zAZ}GkS)rPLt>G*}&ggU7e1x6KpCqef-gdo+V8QtNv5Aw$R|idx9zB{Xy3zgIE5;uC
z{?GeSZvw~A<Z+6U1k1+4Hr%vnO*7*Z<bJ6xCC*k2k1m+T)o_@rDHFzc8D(zsMiX3X
zCnu+}s6R@FGvL5r9BXQ8qYx2O1!2Vu>ibT+f<e|bX$Q;1&KoT@q0)zhpj&<7Bux0M
zA+#H>bmFBUm?;$q#{X8-)TlxEC(5Nc%fzp|&!!`dp)jGMSJgBabs)ozPvKt;VJJbr
zl7}WItmjztO#mdCP|XuXzzdUy`rhk@Jkc>RvN}zZ%I&u{jU+ggoQR9-lstB_g@6a|
zJFy4^>A6)8CjM|{Yv|5(TwKZkEcB;^ihAm%zU!8JyWnzb_$jQS`G(YpbSwI@>}Pbk
z5MNW>^7`+(bTPA`0*R5t#p-O7k}?~X#_<0?q!h}3N|5#c<hK164LJXct%XfB|C0&=
z9&nkbZARf*ktFZvl`}+(#|L>)#zS0b6Tev}zjun~vkQ3emSC7fBKjSqgD7)|<jW+X
z4z#J!;M{Md$j-}Zgm@O{S}FYoO-J{=<qz!w7{`3QCg(oJ;PU4J^dhLNAx6x80CMjS
z_*^ZMC1!KQy;FEjA10$c#I<z>;#Ue-_0hX`?~vlhCcaxI0t`u6OY1SXJs{{eN83iT
zVr%w~0&|-!(*uDP@1<G-n&%gEhNY}K?<G#-2Jv%daU83i;7RJx-79t|2}1P4oTeW~
zuj#T31p32I9Vn2TzI>yamDQ9#9+%D|Y?^IUG*mpm0`M1T01xx#2F+q%aSSUNdm>z|
zntA1fKN@Ihxi`{uFeKv=4I}5b!R+2$cFnsD@)@=O@crHpoJ1d~WA|kb#@&ETJ})ay
z@J2+cAYNrxRv%4$V}&QZ+q9!oXGt)xnx=6CkD8K$71z27O~#h-M7(;{XqZc6avqbO
zlatf3VTE+!XOU>2*TciZs<Dwt^^YD2X4Xp&ok!@-S>e%|LQmXlMa;b_+{1jE^P)y!
zPU>!^VRN47{gxFMHz?qS{^R6NmpLY-s+yZ~-d-8S3ZH-v@Ov|YR|b?bl=g1KQbaU%
z@AHDnk1hapu<JUCZsQa^^cVDu8Zf%e?_W$mN-z1Ix~^uu&p0c{kB;uND>%9mxd{Ic
z$4H}kHQjB4f!>aCj4o5#?liu*y*!MRqY2S^cGu0#7MNN0nVddf*YG{xMgF%dCS7ah
zSQG?#ZkXz~jX*JDuti9SH^<QZk<zY?p8f##9PKOl#*Kql_V+qS(Mu@DX;ty*wl{;U
z&FLj;`@2#bHxFOSe_koWMiD2c0J*0KbpS~UpKV~>%Z{1v3Gwmf(RP^xF1x!y4Gsb|
z4!)y4`FjyuFNJTUBGb!y`#G?=vZ|`e;Z^}Tv2ZD>=})hsIHA@hW;ir@K371?z(<w#
zekLhCOlzZBETV68dhITn?DZt$PTSq*Z#T1UdE(K_mHg4=jg)DasDu-u{R%t~Fk2z&
z07yJGiBsJWS8SltK(Vrj9^}GY@pHF8INgV2qvW*l-rZv_!z|OY%A3k!4=ypkH8Nt`
z5PE{6XX4X=?_3veb)9~(Lf7o*uu<5={Mqkvy10Py%#*!E{jk7V0tD%-CPQWXS~0X{
z8#M{vl<*>BHuY4_g(6~v5=uA;+(nQe%Ps6DFtV?fIhE$zr5vIeN@oS<L%yyn`?nWK
zO!RmwML%@vP2W+gZ6#+YytogV2;kq5g)u-Eh{kyjq37D9078*67`iKA@68Nq3c37_
z6O)II!~@m_q$RXunI7`Rfu=s!)DzXLk5|z}3hb>9crG34<pihHA80FbKmlZ*<IwjW
zfI_4K*U<i^mi5@~&-LbIQIoo!$9y9g;mTv{Pcf8cUr05#b2f`O^W>*A?f+fW;D6tU
z&&Gb>KNbOWjnR=w$N;2h1q-;1y8PhhD?M3*rPX{!S29qZ+K1tK+(oEw_~D==6tgco
zX&87}rrCM$19y?zWPw|Fe5tXOGy<{`7Ou=GVyREKkvN2r=%e|T*)j#&2H>h}^R4wt
z|8O*`g@14O{%GCk@j2zAX^Xo;uU`5xhGwgd#Da~oG-nhC<&fU`@UHU*Pr14jsbsG<
zjvyKj(n-mM`fbxp${Tle9-l*AH&FchG+$K^p%{J+A|?1a9R2GDGAznv)I$!eqm0kj
zlVov7{ug!zrj#-syzIcIKlR2d{Ak?pMQ43tIMY&ETqnpqqY?m+M}6NV25L(V;7NIN
z1MK)C<|fkfQY+f|P)9WkJuhXv0GO?k{^+VKSCjDUJsCEJ<+Ir7Q_^lpzsov1Gc+-X
z1kG{*o^&`@vmC>}LTmq&A9g+0q3|{X9U|wo4aTw<L#74Ec}0b$&NwPaNlUAtm5Faa
zO;w!Kt2cr;MC!^PK76PHGsg-%0e-sgj$r#O7?x)g>@re!^6>#akT)#RUhx=(X>s_i
zA4-0N57L3^lM8xRn5a7O0u^^mX?E=H!CMmt<TUB(s~S<;JrMgCz^f$c*4keu%Wzwr
z2fRaiF6&6Eb(-mmj|R7kBq)lMIC(~nk}m??!yb+ZO$(1mfuNc{x}{sTcKwt_MClBv
z44I>pBZdkCreWJ90iQA;AQoyBFL4w{zlweig99Asd0BP=qg5RMx(-50DiXL7#zwo^
zqGH{HQj@Wf(RWKt#_tqsg=kE=h|&3tw-j|BKhzcX!u8)>%7xMastB<_jh-DFB*hsk
z@LL52#!(RR0ZqUxv65Iq7~lR?9ocZn-%yk25_C2-GyAY;N8o)h%q}NZlAiuDava|p
zs2m{+5&sxvDFG4+tcsHC2(%)F1Dnjqr`;YdEsnk7C62nGmcFB6fA#J1D-l62*B~fj
zJE&wSNTFFZ{<#}#DVhd?XK+GX@$ntcW8yV?4hlD3I@;CM*pc*9`_ij<>G+m4qFK?=
zyJmiDnn^s~AHQMlm0l}@eOE}$QKU26yP~-{Sit$q5|REqwtes{SunpWlphbi7aR4S
zx+AD6jQJm6g!HOT0B)Gg9#ZD~ZJ&nQ)bKv%v3~d?5>R-F4IGDbOBONf7-eaegBcbA
zf>S6Kc#{t&CIuCTKo8;OgElrc0SHJ~<&7@&++qVi9bXhlcuZpxWxSe|6^7n9>NML_
ze&K2vlL3O`bt3D-k?uH`-0Q>I4y?7}vDx@^pf`7BS_}{;sTNzJ!$2)Fa877~w$;+#
zN}Q&1QQ5M>cs_zGwlGWWl0F=02uC=A7PJzS0|W3oeN9XhFN!moIT*cVNQ%QIF>$`*
z<KxM6dON&N879-vP+gV4l{kk&X-K#V4+QDRl2$J0qgYnT2_p{R3z;5@vO<G#BtAVt
zX%~5iQk?ZFz^ue;VACD<w~)8n5qRl{ZL>qiWK+wO&dsHq6>*&)m-_x8e{eGj^=8C0
z;2%Y*@ED+bn^V%&8HJ#!Tq=#kq9j^7NwC=MR8R4dPZv?ujZR2V0R9cONgzhPmk^c%
zjcIpnD6;u<LP@6ip{lBbZ@rrvMnzAT`J~2nu=7MIb!_J8ezQXIJ($t{I<|G&px0+g
zFX7xXUMy4~^+K#;hENGmgRr5s9g`eCMQ#m274cSx;(!s`Sb{m2>0~!g6v`7XJA$1q
zps;~EbsS|nB)K&@c1?jGh>#)^IAD)4!u)(_XYx@>xr@>r9#hoKQK0w3Z0v&Uj6gtv
z4t`}|L!=e<gVSx@eAONfcGQHgiJs4)#T}qGflKzH`~|{g2*h(2L5aAfeF%JU9U61f
zO($6lLZ{U%Tf+M_XNB}<F_jIZYyy1N3X(ef)=^y9Q8)=NtU+vWq3MH<$92h0NfJ-Z
z44GkuWZ|Av^G6&*i20CSqsdDZ1mL<+E(TkhyRu*HFnrcVkR$_b>y4RFZsSp;Y8Qa{
z<_Y{5GdmlUTkHPiqEc|nTXOn`SGK0C9p5MQu45B2e5fM|n`_f{+ct@V9ZIDkM@aVL
ziEVb&smM5cR=ROCbYb8vwJZpA?S_J25lTNHh@DOR_MI8>F<tH(tIgkmOLUSp$H8s_
z7SSK(S5R-NOWmsK)UoyzZevF`A1TA_EEToG9b^1_<{uN`K%uk6G0@nVj9o+@gLtQX
zN)s$#aP~+&FAh6%OC@%51G8*qvJ7k&#Q7zJKyX7BwcJq}_g0yEr+bbrJQO?)GLXQi
zeL(gX7;{-c$%mjE_HV(Vnd}$C3z3?YW$~^k{p-sP9LJ#~L?-M>`<)%Zg<!dfx*e$F
zdQR8%OEEvxh{=d#;O78#&JdzL<bc{@iv2}^tZd&(6W9|yVh!g%?G3*5>>dE_wp)^u
zXHyz2OG;lnV2={O=INt)cwAOimZt9^R8xqSix8M{2?enqf5Dv|N=RR0x5oA(1Kv%;
zuF1v<fkX!ybBd+c=saXmen^^d5tWIi>2uF$A%{7lu(V+Gl%n1djI6B()<eA4lPdZf
z#ck_nhBR0QgqhWg0H+ZWI6-TI(BwicvNsw%_<kIT)aDmZc2k1=&}yTjD!-knb-&uj
zb4eIMhv;<GVdG@P$AtAm<0b-Cnd?c_j|uSk5pR6jmX@hryEW@-s;VAt^*p!*uE8*2
z#7om-xIW0H^6aZ9ms}KSiLJ0i)IbWu%;wP?zneF2wm*+psP^_iQZT2Hqvgh@f~fu`
z5w-~q&_%i|=l${5LJMRu&vl4<Ft?m^gtPcR%OCGEl<&pTG{QmFfg(c+zN*p1%^<#b
z6VeB>ZHHt)nCBrLxaEs1&x*U@09WVDO}HWOT>&U7>ffn7<TJT6=?N4fw-v0nItl;W
z(UfW$M_0=MMa<4NwOpruGv&1ZmDDv@H_>#&-^3Ez-jpRj0~$gI;X!CPwEJWVg^&mW
zX2D6?1neWZq_z+NKKszx=4M^`l~f#F$+1@}1VNT1T(&x+Fb@vVUhH>syN(}dip3=V
zCXJ&F-A)>@--qj)Y{>XtXNdH@PrKYI2seb(d%v)72dRq@!;OL%523~orkO!}#7;*m
zE{(FKe~F76Q|1KqPMfUGdR+4C`p886>YQ(9iVkI*Cvp>H0rk;`Q$%Ptm;_0L57J2x
zj1u~{n_T9F<W`~NmQ>6>8jJ)Bqn8h$KSmBG6^crC8WI0Gz}pi3TqFQWTt_Wi#Luzt
zNOvde$x)Q(3VZbfp3)l@lpo!Wog-_$l4X2&CG|DYtg@cwHo>ei5d=H?Tqnowt=;?d
zxs8n&Us~(eRNf`JmsGo#KZIGtf(w8^c$)a*1Q&+s-3_CdlFK68fXpF|Fhjluye`!2
zBhu3eS3_aCWoE)HK+M6C9{|D9O%hq^T{;iC={ve3V?z242niYB0G8q!6JujQoEIF<
z_|(zkvun3sTx7*5PGr6!5d33tEwHySwjyk5dTC_&astgzYPW4L^Gk3YjtP1Lpz|dR
zts$DcgY3@ffo)UGV{^mA$f)o@!$ohil)CMRJjsY;Y~tj0e3llmU8L+N!bq-EJI)8k
zXHH5o+=B_(B(2cKIYQEAI*`Y<qV4Hje$6hw9<1B<M=cLjKV1u&62=>Vn&k4da>i5i
z1On2yd{4r2<Q`;8G-=G%;`iHk`RiLTgg$k6N<zU9NSUc1wg;3CIoc$a{=E#B*+YZ?
z<S+>dwQoWkHAqY*F1&nv+E;ho7zgRN+Ths75gIt*hprcS=9G-TG+|7znTc1<s1Atz
zH99rmm-`;XEK9_oS}m#->hU6{lYG=PqX%1HYwi465jurXX^4*8Iwx<GNhztT`+?Ya
zqoz8^I$v=S@DUAg9Ic3vMI`?ov;tqkOSn^s5n*S3G``Y0OWgK>ChJO~($8dAxIISQ
zdk>Ywlm-xFE=Jbg#8|LUWnj(%!mOjU5w_a7iM6E5#hV*js_W&Ko^^=-6JfO7Ll^Ik
zAnS@%ec_WJaMAQ#L+m&7F~SHhr=2iaiOW9kDH5s9Pf>sC$mq=I^h9hVNus@Gx0$K-
zM+z%dtXei5?+%!b6D~b!U55U&U~ZAFXJH(iH9sN-h!ewS2vaRz&0C|7i=cCMc-e0*
z?T@Z+(|X}_&&#FfypAWqG?;y`q*b-GqmDX&XKH*6gB`Ym64YmjJGq03xRVfLBxd?o
z%-mmwu=jzn+S{Wwhp<u3y;dP5=m{D`d!>F<kZqTx7$W@L0k}>0SA=s$;v;5-U(Q32
zYD7RWI!3s=fiS}0+pTUvWO(t8!ppcew&iF`4~Ef2@v;rF1@8%`qwpa7H27SIA;fjR
z4V>=3W>&(N`X18XzK&}Q3Ut=Uj#H}lUVN4LoHs7DwmT{Iaj!o@1=`ZvArI7kE=){n
z>CvJ074Zw6+pKApDrcPt=sXy}K{&u%3c`HfL)Y1Z%W$V_*5&4++);)-z27o3J<3FX
zVR^cqIj%(=&d)yEo=@9uHe?Uqr*Esy<R)h0&>RZ^9&l6<jt_cRIBzAq=3s<jrBQVf
z=$)g|2=@xqk7MBazAU_<wr$fTMIN6d#1HKR?umzCk`8{2;R!wPzI@bgEjN;$qMRRy
z?2Z`pBy@LoK-HR2Gf(T7TO_nm9f89(8(bNIh1*W8L0qVt=^ZJIcaMJ@K}^OWwhveP
z72SW{3d!Lbhugi~W7`zf5wXyT%|%_Qn2?C(#;iMy*mHp_xW5zapu&`5)dQhiyjw7<
zbvcnjvm5!?qKAheBut_-V2*9T?r;ap=#Ij>;Pl2f<ZkKta4XhDC0)C>$IlK?Im0r|
zb|J;Lv`<s*K9WLWph@gaUNjIyNfL-acsvjcZ<`xpjb~u%sR*Q@4(LrLA`iaqgQxm{
z4JM@}@(m@o4wG}sq6ua9xg?w$-fjO1W3oSy0I@0O3>Vl(9c7&g2fzGH2D=B@ts@>9
z(N*7|cgQ3+3+Yvh{T5HsnqZrKu=v`S^Vwm{)Hxhqe1clJAdr;F?%Zip1n`&dtrxM>
zXt50)dIzuH+2`9K_SXI5O76w0oz(R*U}y22QA;-*+K*Y6XX4SoSSm3BwwD#+h7Lmd
zrRj$*crm<&obsH(puRTn1I<Y3&Y9$-gqTT4;9%zU*rsU#Vw5W(q-dOlxWRGWfLu9f
z@%RLSV(0+ioAA&#;DbVq=_H1az-YmE+m&o}1bQTKFB6T<fzbWSsP!Ag0Wp9mjLvc`
zk|qFrx2-dKy9wS*+xnw4C-iSi#RlKsxCy=79Sb&CD|XB@G&EEuYVp~xv_(Jix5|)d
z>y8<CtKm|Kd9o1|t0q2Tbmm<SrtuUZyu?|!@FE&K-D54vNLD5pknT*sR_AbrSoZ})
z<RU}mNBvIs5!(%VcedV)*pD!tY>(KEW;#iH3?0fo4&`{7?MKmW64p7^R%A*OYx%v;
zcXV<F?))2aOr2+<H|K3Yo;)RZI~T`(AQw8b1UJc;e4U}$3=<YHzYE1g5WlQAjE}Lh
znyKzo>O9EMz353Q;YVnzqgFUTuo4oqlgyl)GQj$hB$6bZ0%ah!mrTZueI4)A>>u9d
z;`bssCnw{PEu!P}ukO6W(se*ftds;hNP1$iyI8uObDP$G<Z?94-Y%{uOc;P9f<<M)
z5I_gXN}!(NEmU)QD`tipOAH2->4OZ&d1;drFKY!-v&af)lzuD^8HzCVyn4o=bOxN~
z_W+;+K<M3u$i{-)OVU_S2bVcWSmiA@uWZVmpeL-w$tDq}7#7$8V8}l7b-fQ37bRKq
zflp_y-`gZ9!D3)%zAs-sCy$o?i!(7qCLg1N>tCo~|AbflpOB_rQ~J?h5edRN;C_Pf
zOngW>{ey6MOBoaBEZAL}<(rbAVxloZ-5Gz?a#9!h2GY~QkH<FYFq9T|BHKKUasvsN
zaF!XC6pGrxIRYx=K$kPW&|AyU-dz=Eyk_!q!;g-s(H1@ZEW}xGM#(8DY8jKy`R_70
z8gF@ueDl}Uskzo*=OFo)fSF!&RZ_-Fg=wr?ul6m%O!afnn5rWY0Pu$n(%yha3xta&
zw-!>}C4_WICejny=yRQKSJeKVN{bR&{`Ua`oMq-W;oJax<s?*&o#-W<HiUbL3brL!
zqjotdS&UCn@XZ%d$O^zf1OlO)@LfVtTsT+vJKG_NEZa%u4==aIxX$>jfnw=MgEL*9
zrje&1+r7`jsXZ!8Vrc@$LXx!O{?X+{?CRPNNEnJxj1X^0+N<r#Y$vwvCBW~FhsyF)
zP;TiZ8}GZn*t90}9XkUUn>;K|&Ukgg1++@U*@|SFkQn*PO|FXi`bT9hy;e(>X*JvS
zkc^JjMnD{N68L4RVYW|njP0Df7KBy?hziqj!!40>M8%u`xMhTo>}V3$P{~K|x0kOa
zjwcivoVv(sqL-+^pGjaC(rSV!19fpf8tUsU-*Fm-qfAa{<pSyjQspgPEeO)SA@!A`
z5h|@}eB`JcsW1>S;l&rP=CcQlBC`&J&_x?Cs6xVQCx9h;kR(M)@7r?S??*kw1`6?L
zBw7aHKW|lm3t*i?ZWYhUB%V~DlaN8u$t5>3NhSo)N74W{&v=%Z02SpRk|d!Tsbh;=
zi$`r~zSWQXHBm@x2)J{g@zNU;zsl}-q~qL0$Wbsvq1bgPK}tYBf56SGNzJKF$c0wp
z80x`8o5=+uW{$fEfsNn6UV_+gGi%+ZYT+J|YE9YZd*WoWtq^<hGUf)M*AutAT|Uqs
z4pa=Hz_Kjj^a*g9h<{#xDQ^xrErdHxdQ((g7nF};bV9<*vL=LUImOjOIUr(9;+^DZ
z>!Ev_opcY!Uy?ciFo2-$-982s%8)e9*m<(;+o`TlCL@+t$8#Up<&&dsGj_B#Q@x3L
zrH=IED0qjl)}S{nsAX{%0W^L9ffiOUONiVgoB;n^`=VUQ%UFU8!Wn53wjQ}2kZL$j
z)<}B1{4rV%`O`jMy9lg;1PsKwyUmQcl@VO%lOx#cde;0F##7@MrX)c)-3?Fb>FOu8
zrCO*vn(B2H6I>UC)dM7p0AN50O&ug@IJah-tY#^!RuCdR+|tNFI*B+2`d{NItws7s
zZ33shh$J$&v@E*_>pvK_X=*3&L0_FZO)^P50wwQ4C_4&*)It^&&@E}Ss6>keHZDx7
zyOZ1<m>UA)f+}Zg`e+`6Iz-^8^=M4Vh+uHNA&yoZXDp0Z-npGuPot;*M8eAxJtdI*
zD@BkULYjfd;}e|f!Pa9JNV^zv+lutqeA0zN82kjrAej3;@)XG*Wk}#X0Gl&9?xg8E
zm6kctat*xi2UuPq0vSw~%`hbi(|!Jmje!WG_Yl+_-a0tHStvcWKvSXg50}d=nl$Kg
zMgY^L!mnixJxgJ)9zhUBU?t|)HM#z{L;8qbN`bHh5pXKVtP5_7M9$9G745HCq<Da2
zJSsABI}BcT&43e0Xh|4AYr~Q1V;v`|!IS5>&l>Vd@=DWSnk%AltQ}kN(EFhq&{k`a
z55!+u(gxs_)XCo=Bz|GF5qMSemeyPtr=T|>NVuhMN&=V)dZPy?M#RP%nKNF~oPzqt
znP~jc=$Yv3Od?@YKEEkeUZ4!89>{+QfsxXo(OvR`;I0Ee$m$Hl)pcxCJM1?MY6e08
zD<v@8867y*BF@sa%{ohZkG71@Fq&L0DXWez=(ku!OEKnSluMuS;kkCk?r`Rw7dKLl
zMkpKl?b7*ceKUu(zE9GhS~9W=^la_kN-LhuoA;bOIY}{jdEs4p+C1yax8~$;5jb*o
z4j-m8gs#3=8D7Mk`lwgB-PqE5f8W^Dd+TqJqium5&4JtmBq*I^nzxR$4=+>IL&E?&
z(7ec!6o~HTBbLiDkIKnuHV8^_g9JsAQ*hly4q!U5U#*fg<8}%NjDFXKGbtXWGg=VU
z^8NjyuK;(2zkBtOg<&6ePH3Gy8+uMd9b}5_4TNi+p?YhpTgX1WiI8ga_W!M$VArs~
zyg93Lh>7_hmJ^eWjoKgU>({+F-z6_O5;?PI^IuL*na9kKy`0d_b!`&ZyZFnr)sfr%
z46R<oz{e=RV?u{}`;p<M^Ly65MR%G`iqE4*JP6AF!Z;SnpD00{%^$}Yhb@%bh-mEU
zI(nVnb3w6(o$|MQ)E^gK)<tDNdg}I;dB^%!-3W!!1RI6S4U3wHvwEMtPWAg;=tlGN
zYBc~+%Kwyj9y6xCSZQH>w&T!$v7Et>i5HO31O&2~k8j!h>#vN{aU|QmeH&lzCA>w*
z)-5OJRSz$^+24?XJ(g~=vP&?!>Xf>Ahm{rqb9S`7J|6FXa{I|(G0yh(cJpptetz3S
zUDb!yS)k9vGN-trLMcDv`Sa)cZs<M=Zb%8Dr$d^S5@e;xll`u_e^g}f*o;=DE#JVv
zK%2_y=K8eDTcIS-B;kh6@wEVo{XY75USkF)wa3pmw4yg{Ev|@Shvc$?oc242%vMmc
zG?(r^-6DQuA;z|UL9A`55t)&(4vpCS4VP53wU<)B?1((po@t79ND3wF<86R_2cDQg
zJ#*y^4@E=&JFZ=U9-p%>x89u8lauq%VZyc)yTIEYSvceQdETL8M|1E!Pt(&i&<cH4
zFyJkcu6!`?^uhEUIVir-q5%^!R$*!thp<KSYV<_|>%22CU>T|w(|(+&MlGa3yNdm3
zV&W<P4;SzOf7#g3zoSz=wi_*MI`vDc7B-)G+q=s`rXR4%&7=gQ{p%7jLaR;<2WJen
zARlkdkV$Z8@cjKqAXHv`MKH^vqLTx29Fp&vqQm@YXz1ab6fk^OIyg93=HgfYXEpay
zNT|IFk-0k%2VHa*s{E6a%)xn-2mb!g4)T~`G3H)@dc308a&^E^1}6#1rnbRzu1%?P
zryHgeq{f(jeS7CC07ec(N3YK%-uCod{;{fx8?y5|B2NZX82r{pl-NQZ-@pGS?r1)w
zRR1p0r-dvaBGqABb8bUJWB!nTR%b!;NG>Q44<0|}CE}G(r`TEMoquknuzBO}kiuLA
z#e$?9Oagh^vG&HLnQ7L}e*1PoqYU#P*h_AH%`}ACTGBnW82Uty&^nK=xFqM$sAGG1
zm&a$iOYT9gFO0I4St%|u##INfsUPG1UZnf<cPrn|>_=`xiF4tTZoV4a{8f~<$XMHE
zCIdcKcUnJ%NidGZI11l(wA6Gb-xD_L9Cp0iUd$df9IKOA(|fBG%9268qAugfyI-P}
zo_~VP=kqd|p5TG)ue!Utxt{0Dm0AzYZewwouv0`V*f%CFZut3z&3_++x@yDUw|vZA
zn?vhLz68f+uhYoI{My<dV;BXN@Tu2rW<pP61bDrj=DP!Tk}O&z^2fDBY<v7;TOlgf
zOSa*1sWZb3Rpw{AUqY`T!K)K7#vf9Kucsgzz+V#Z;lcw9{h{2(pqm9h*H}^k$Lj$)
z)%|-0x65p9%yoN{XyHIs%RF~$U_M7|-^T9lXG7`62Odj9RqoiLW*TkP9BcV6U+zi%
z0YXt+QaobF=3nL{%IMF<%1bzQQz(eRWt!*LfBbkA;u>re4u0*m_igo{NK5J$@}tAO
zO<d5Kq+CG`Hy%Mo;)pc)`T6Zgh3dZt$s3H*fy%7;@#6>O3T7>gulJ7n7rWvmIi03`
zu;77OOg;*IZLO?RFrsY?TZQ)dITRcXev8X$(JH4gZXi(Y3&K*xSUYI-rvWx)FCp&s
zxSZTP%I-azmgrF^EB>JVby!6&r_q?R+W|7tf8jmPxx|0sFZT8K{}gxV;=HavX2lF*
z?H?dZuu;f>mr2wg271m+hZO0*2KK&$Vvn5U!TtN6lVUaF-XYIiNO=|=eM<ZHJ^p>W
zw1S5u6`oa_ybqDwL{Zex=(KX_{rh~&fXdOM*Bg6l6G95gmb|ko!)x7!V8UDqCQ7)Y
zpF$+=Se#l|c=+3}w7B+%k@Y|PAUea;v~r)1;d$fHXRi6}JP9ewRf`ra+Ou}4rO*Tv
zGxN^u`SZX54oJezF&4%g>C3r7uiCuQ<qJHxIxIsND^5rFq^t6<yP~Od?u(gM>x~|)
z%aqh>IWxj;XLVp2HDg)>QHCvJq+3EPKV2Mif%22!&IP|%Lq9m5d2)x`qqb8MXu4cQ
zIfHYW<~aPkDF=5vU~CF7=Ufk&)>A>A(DG>;!R&)f)mw2=LHqQ^L(EP>Ek`k0#ob2a
zc}$FVVtYr&Ry^n4y?X})cz6~=@2b4h8oz9dMtIfZe{1u1{$f1CcIDkWnbm97Y!wh#
z0TCZ546+fE50c-}aSOKP#z&(e(?HMHIIUec-Ik);x4&!cnAe(FFp@PrJ({b2&k*I_
z^6p`GgLu7MPvrO5Imhpt^OL5}$(^aKtz8fyj&*#hc%H0dbhQbYhe5dlg<T2-dAkrL
zXwjYC?G}xR(>pD<9Xhm*a^}Ee7xQkAl&sRr4vo*J&}g*P-HF@7GhY6wXeVvbGwtkh
zy-t06v@an|FHY?|^tLEhpsmJi4CV#p+Y%J+!{#Mge;lTiqjxN+5o4LGyz0w}iXId_
zM9R>>z}J_xeOEMGa>3!bLWqQA!=|m$Y%IG<>`eoizRKmjwc%}Wk^T`=Q{JWXuTSn<
z=dlOB0#4$WZJ$L%xZ$1_<rFc78`&Sn(O!?qN#~x%^gp0^apl#S`vsl$vD>|i5-uNF
zT#&<V^lGd(F?-<yOb$EkWtQ}by<55q*T<=`mP7`Hq9+j<?CmZLaCct}<m@+gc6Q1k
z3-uMNEsiD43yV9G-zG;BYCJdkP_lJVYR)S2j&&~-(suqBy5^x4BYo=BO3E4d7+aSS
zfGYDTFuZK=dqaX1Gl?7K*<)?4c)hl6>l7JmALckRrlRm<l~ZWfo8X~bIDV1pzrq*G
zv<y6C4DC2kbm16zP8YYaus8sf3n=|S#B7AQ6X?mwloz>YppE{QH80u2drheGS-w4G
zYkPq5=eBM0aAFo3oL-qfaw{tHw_en^e*b>y*<-NR*+;c@a|DVzaZu)tPrul}Zb#;#
zwVNHwLpdgeCOP?K1zt368a{N6b@R=OL3fj1yeN+v$K(ZM@uw(3ci!Vw##HnU2JSnS
zG8lu}qy5w*%zg<20pil9Rv$IJro}jo*O@~vDo{%pX9va0<z%ihsB>%=UUI_QZ)}0!
z&ovJ9gCl$jbt9YI6w<%&HVk(4zFb3*4?OtAGUTJtLzk~)98upZhbM7ya;_~cfJzS=
zdt+~QR{4M4w%7`jF6L8^4K#>vFZ<+4vkZJ$g@!KWPg8}FGnWHB^FBg`p)G}B_TM@?
z_kXDKJ&u17S*jg!Dc4-8L1T@sMuiD2Yc+B^DVGTCv?#2IY9hD6j7XYYc8R4^k(}H|
zi;^t4tUWC|*>y=Y#RExE*w?pC{Q>9mqw$^ZcfOy`=Y9V?-@X0$;W`bovqLyo|J5z6
zxJC}TMi2ztC-Kyn6<H3eH+t)~qsUiNhXm4Rr*ud80Z9@XjZgwtKCWi<s!<1nB1rM*
zUA|K|-JUM;_xC@O()QCkv+*`CosJLRUr99JSpPm0Ey=?$O-f0L^C+pTOAp9Bwsj3X
z0iy0=khZwPCc(1Yb0!E}Rjz+$u6gmBIiGr25UoTd&sep0BfJL5swQfXB57l(trl7z
zo<NYbq~A~ETHd-#lr>lt^7q8;R7#U^zRh59Vc{~gq==}!Sx_KFqTKoYwDc#b<GNP%
z@_#`m*Z8=(x+;@Y)NFrMnumVK$m`d?PN6(YlE@PZHBc$@FSJ?VEYX^tUIzmwRcn`;
z<)|;&yos9<*GB^XJoi%%bqGqp-y*G4%Rosn^vI-m4z_UU#jq16=wN{jyk1jxx97|Y
zny4nc<Ygx#4E^)W0)<A4sdSCEmx|FqBt1QyXjqhV-GP^K7vKeg_+eX6)Aqk(hHvLI
z`<|$)?gtAD`jn=8qi`O<p^a7Ah!f=9w!^wsVv~E&tllf+WHgXuhpz77Qejly%<-NE
zwm=WqD7m;sB5yN2a(?C;AWD9@V8Jwq=|}d6YGjmI(A*xdnWt^RLr*Yr16z*Dy_`^y
z4!s}oS04%M<;^alMtMWkf6B|t0v@WFHF?RN`}0o^RIzEIYD1#SEQEA5>Unl{Aa@I!
z&CSi#VIV?AUp6@$>n(Qww+q~$M8{$&!o}Tv7#Y$Q_>mj{Z~7jtWt$3E?(T_zr|ID`
zD7A@<GP%UCrw_hYTF!w`B5#7OG#RZ9I?K>tW)g*I%Sq2M+ldSQeYQv-5KyU9%dfv)
z39UP_^e|vEGB^nPc>AEmXK?0EcczQ9qlW`6-U=T7xb>I{W@6o24n-1SWaKHOPy;j+
zad_+5mNmT7ZO)HUR%B&m>F^4%!4R+Dq9fpg*PLeGMufG}Gc)6^T{F!74%XJUkE<03
z6aQZ?HpqNCjDQNk@IEF=5n>*!t4udUCXZcu1S0smS2xc}cg^{Qp&?OHa`HL*pJQQ$
zAdZm;p)i05U?Yz2Fg0j3`&lf~Z9pnO$Jlt4VU`@)tTo`XC$t8&G#Pjk5mjP-T3VK~
zx{I6J74+SKcKo0N$+*FhJ~-??xX1Jq(4gs;FUw}xOILWLfrMYDaD((k;HK6oXB)9A
z)X31Nge9*u8sH9!vhqmPHkiPPVlf*CRmriKrA-IQmjP@JRft<mYd|l54nL<CeW`kC
zn+9{tYT*gLP%H(A$;#edE}W5@N^+6D+_x{=&hQ|%b0~WS0ZU35uQhgT>}XUliXYG2
zyJwAvnIaJH)!;x{@>_p6^I|1*^IkUc-8w)q&r0BNLDWT98>CrHOs6b6b+ET;r+?a8
z@F-0UG>t)*zmSzBofoFnkFJbuonC3SaWGB&08@R?-hL0~>4|X9d!<E1wj1J0^kR2S
zq2i@&abTiz?Q>}nvQ3df&U(lSr$UJTq~IuEqNlfc1%hG5a&s$+d`^#dv$B!^xN9VI
z32}!6MCS((seBQk4yLB(VxXzO$5im7q~8rYG9$&Y=1TX`vZ$8<Sex}Cx`BZ1m(V|q
z_|klR8annMff~JY$O#5nSs8__2g*J@c)UXc1bhmlVHdli|I{K(UY4t?|MovlUXAME
z*WZE(-aMCEP*89J{eZ}(LRNfIENuL(r^i3zx7sg#t1%&HvB}DreyaM*8)>iuM>HPs
zlEa?ow4i2iW_~EM!lL?ZSokZkYt7{!>z?V6nmKqqq(V1s-}V3cE-fzfRtBl#7gN;L
z<?FrpLg7wyzSIQVoQ_FS5S!Rxfi__Uu{=FVV_;@nq>9xCW2glw*aT3C8b_PM5iN^{
zrIMeQM_`?B?JO`4fI<&|vr9EJWa7O47PXZ#r*;9sU54IUIBDh!nA7g&LjB#lwGfAr
z>WVs6J09!22wN=?3LLTC!}v2i=nXO})(|Cb^0|(QsQ4H{RaOgRJRg1<xL@thTuku}
za{y=H?yN+RaGim{XLve*Bp-Bi+~+DA9Up9xHp}SiMkNZ%+Z!lRx%M2h)i84}wxHo@
zDxlSVbJHU`V&0gL={1fvfBQnOI&8|TrKPq94y?uV=Kb+Jzvo%HK#&YYH3Xz>HBwMa
zMZfA<+DQa*4(<330!4>cbR7#D`)~+EDOH4flR#s&-n(}g<-VkOp8_XE7p=A(TX7_J
zUEQdvs;bnOkfOK=h&m}^2FTs(PIpN`alvuD(39~!W{KGWOB@>?>K+YjS`b6oqp7G6
z^$c4x^i~BFmM@GT9o_?TD6vb)3y_q4sJkUNwY7{HY*3=>@#9oPS!8wsrx*)v9=vr4
zq^u@IIZxi-h@%&ojQC9#QrRcr!HvB-b>zsA^9&7LaRM&8f<?+%XgYl%589E0*~PpA
z;MgPhpej!tM+I0Jb;Kmv-KisFHP%zici6HT`)I+%r12|g9V-Td!E$oa2^lvwG#p|w
ztrgnmwTul68eszL(d4<fy2it6A3|sk1${>6DHP@a$dqqTT1y8!O@k3GOQdIKC&Hy`
z9le7Rc7j9J3>}?PQC5~9pzT^Ztw{%_bx>&~eu}~XoY(vBE0UHPYZnAblB1|(Tn>;W
z9}D)z!7Ah52MJ>LyU9HcIXk+8%&;~wg~mQFInhJ#h4<Rp%HWjFIV|ZtKktv<r1IXT
zAGpROznTq>xx<8Fza*Y75oZ_T87pp*jwfd1^KU{`32ekhx)J_!#`(U18fHy53Emsz
zP8k}uk-6sI2Pxe&HuA6J8dLegD;2s_Utix6VgM$3Bx)j2k))khS*e1JlfNnpUop0k
z@4SVA*ZE=CP<aFE@k}2EmxaCi@goHrD%1)t`7m^qVDfw#3f#}UK3=7JMYeg_7oRS3
wI`0d4_i<2}baK}IH<a>W8h*O&|GwR;vwV+*<~xrTW65lzosFY)DbpwRAMCCFvH$=8

literal 53414
zcmeFZby$^a^eu{kfwfT)14IQ>KtTi~BrJpl64H%|bV@gvsG!IaK|xB84(SFJ0R;(3
zr4f)0>E@2ljlXlw^W1aK`Qx5*<N5jM-iV8}zVH3scg``#7;`?7l@{AZwV#TDf?^v<
z{E{361*JU&#kw1tHsCwWeqm$y--a8KVwdoL{F=L%>xTbrwh&jfqM)GnApWfJ?)j}t
zL2-zJbm_c;{p+Dt2kYI6^DDn)Y9dmTCBEPDDW;^Pmc2wNO1*LR1I3-Y>!Oc8JpS<D
zb&Xlpf#_3R8(7Uw+&OZ5yTFk<(e8JiQJ>FnA4(bh9Pm$yb<XIh_v^&|XIjst1?bz7
ztma=!3^XJ}nc3L1y3Q*pdU2L)`g2tj6#v-VV5DFDnj+Ldd~EH%e>vxS<inQL?_Yhq
zo@4dPODsF{R=@n`?f=Rb`|T?7*x}!5hTn}lL>B+)w~)9ZE&Vh-$TnBA<fXXB`hTzD
z(v|z-8{Nk&1cEI2=*S8q&x1#XSO2Nf&Z~p+-&eUG7rjHf>BIZm>k^tTMnpzl7NGn0
zA71y0kNNHDD)si~yj-%k)wbExXM0pjS$X;MqRwYUoyTV~KmPl|b3erH(Ej@+#hcxm
zwN}4;D92>K=HIUmN%(Y}d>|bppt_?)t<W_;V$mtB@)eiZOuJj*Kx0zUr%#tOoqrcQ
z&USjF8`d68nlfq5kg5`1h*wKDdi$7$jg^^MG_&0`_g6*WG5>NJg%h~{%o}r^9t?NX
z^coX29hasW>%+x%Xxew)f9&n8EFtkYF?U2jXmPA4fJ^_W^lLt94V`-*!Y+DD)<|;n
zHyI}>T3V*a$;s8>hooMfIv*ty!fu(*?k^dqlu(meB^+lv+!Q16f>lCVy5WVgR?O{n
z8;#oX9Lg#yr?c~F`_r0i=O_CcR?M?|_6)8BC*ivMRZjeSukKNMi=MxEJk+3WUjMV$
zlbK{_XqeM+XNz^wHeQ33<t1VNef*XY%X3w3tVfSt-tKYn?#3MrVhk?bsf#v^no**j
zdtz=BKX%n|nEWO-HQj73N#4V*(KmD6c;j|D+4cgLbdw*a3vF`v>9#9I%N~wS5xws9
zt(>DUJ}ShuN&nUN?<y6+LhAHqZ53|Zcr)eZU;g&x%e_hEd_mF`0X&j2g1_%=r{nA3
zebC)~(`CLtYM?DYx6$#!kL9CM0R~+qPndVEZtRXn)OpuaEIKdnn6-R2w^Sx;xz6cI
zy*e!_9VPEJSFXKy)Q;J(_%Y2uQ@Zi@pBgDQ9}U#U(OO$(a&O(w{TV+{CeuCL_wC|n
z!Gc-!l<QoNKOVI9`+KoWx_WxCV%`Vm$BK5`O%&O!%d+R+h4W=#vM=iXUCPk-BUQgX
z!&E&%BU?_tD)>ctkDRS-hMc^-Vv?3n+)#DcMIQUHYbRCSo%{0TOTZb^fT#3lk4Dw9
zMAgQ)EKK(YJB=ilacJf!uqnkKxAn@k9hO^|9^SGz`sG+io!?1y-xn{K{mYs0YA*ds
z1N>6}r_KWb>pt0`sd+A^X%nd+f%^GeJO>FWsq`ieHa1DTk?deY0&`EMRdfKi;hTM2
zdImEit=J8IxHc`VU~I6k(ZUt2lWJ-2%C_(47BBT?;CPo;q4)gH(Q%n+ZCIh@&@x$S
zpRgI}Yqcm@4J7tQJ{-7Q^k7?Uif*~}aC##vC+Ag8PEKMAH)oip>s9QJdtKC7T^A#-
z7$r?V+?*-1v@oMQHBe7;;6NN6b$y(&Ol_nT+bK)CGGCVB#}#|SwelTR-IU{$q|Vw7
zRkJ1Ky(xKefbH<%^TgXec|vS^_U!JRt=MX6X$DsxwFZCawCKCN@!-4Vk#FH1N(pLj
zGfbP+hW(#C3vEbHH=Y~sp(MwBh}O!_@jIdVrrmWx%C6Ohc$P`Cv-ZWGK7H0pjln4$
z_?{fDl%!=^KWv#j+2%Al7hgMJ`_GxclW&q&!vP*{1WuJ>*ArgnwjCLlpX|@U-k@3>
z_2ej!O*g8~^Yec6=v&{n@Pxv`#qshR#r}SNkv4-3s%|T@UEW4@(N~iPP9*A<`>8T2
z?Ap0=vOg+h{z^beNy)(79m29bWiRd~t`KLgg13FhD#X5FX?bB(-Oc}!T>6RPf0x^R
z{O)@5mx9Z)U2DX09NR`hjp}1_Iv*TZ^eaSINa#nXW8>gR`uy8v@poy1b(C}vRSVT2
zIpKvNF5~$}$AV?$<jC#gzkmOpFBMt7dL&sPUgevFJ%g~b3O_$Tb4sv*=W0mRRsW*l
z<aW@qov|S#fX7&^mbcYf{{6Stj~+duT(;$-6D`pEh|rMGzmdWDow&`tz}~xUIW~iP
z>P`m<*ibnL;qBCLpbA!&of6d2CDb#`>SN@iZhEoER(4vb)E<+5EsGak&{F39duM%O
zcX+Sd$+kIXGPJVcN>oII?@d0+y*gAa!C|+$O5SFeX?t-trRaK2W%gd|Tg)E&xaFc+
zX$0x{WM8;9D=#l^#O#HW3{tC)Ds-`9&$jD34Y<v2mD84HhhJn<j8!liobG9PSxKKT
zB<bwzTs>$%{X>7M`r?ikkJcNiK3=`?o{gK^Cf;X%>GtyS+9WzI(p!SVMpI|`;i!0~
zd3z$KPKk<Jrg5Y6L~m7NTfURcudn;~gQT-H*!StgE2rvJ+-Z0J$M>zuzdJ^@z{2yv
z#JMY1ys%TRw?<yakua)>Abrv?YRO8@Fl%KcH5IzK$<DkI!r_&jk_kLh5iru26r%U_
zCACG}<cGT(@5Y{0_%HE=!>dC`Ce6IPEg)FH#%Mj`TnMq%Yq6(IWy?=!WSxq(l=Np$
zk6amDS?0KQVG74iz;)4H)+RT|De#f_>Y;U?*oB+Cgh-yypKaA^g!4!3byPb<*d@MS
zS<6B6$B!Sb<!9-(3#}|poUeD8pENXXGRxd}Ld11(HgrHrS~?@LDp=^ix7E9(*qPV+
z2>D|$HZCz`d89h*F5>e)A09>onir_PU{m(<4LL#2XA!Ew?%$YFvX@9{0uJLhWo?|y
z2C;oQGKW6i-*Q))j@O|2eSlV~p426s)ubyv7JTf+jT@68D~qM`3uB!{Iel+DiTr1X
z*abw;koWpE-SCf8F>UAH_jBw<6Z7)&c0T%ImTCO+)1!uV1V@FyGp1=q^{j)}jgY5^
zJl5l<&h0SX9XePrQF%6@zfsFcit(~nb%D!5{Q49`Duh?-m8F?Dozkc08=Vl*)M}IR
z#veB%X={fLOK`15diV9C4&7u)_HTCWF8WJE#Avaqin(6&Af<Wu@uNpq@yK`X+*ucT
ze%;hatGZQh<;ia^m!~reX|fcHfCm0VN?~Cwgf#qs(YH7EZ5W!rg^O)eH1}uMtczFW
z8XV<qv%g5IY3*ZjCQxydMp@%}tGE5<XNQfN(hT1_Hm4be-@CV-B<JXu6ToZEp4-YE
zSaB5p&23F2Qn|!xDyP7MzJf52X4NZAq}`e@@iGS0MdT3!grha(m9P2b-BuRb@5VOj
zr6L}=vOZIp>Zw=OuFoAUh|9{#a@QpyRWYsh?)k#<9`e7qiTh`E#EsQw#Cl19!nfeT
zwgW~8>P>kLI0FH1-%9!;GAWjQ{i=YlX7jt4HV$ELej;QgUfnEPl!n!JsF~@^86}SV
zN%BGGvGY=|`L0g<s;EVze}S-l#<VF~K1w=gVI)^E{PMP*?(X%P<_NH9W~~B9P~r@(
zvtf8nkrzF-6Or4fIU~UgIA*H9R?KFgZZk_;qGs*@wo8DpOHRSuuLGvv-<?N3^A=xS
z6~4may*gJS?ykmlihEDhxmUmbp99863=Z&`DO|a7C0QGfNhgALHF_MU{XYlItR;JO
zj?k|nSBgW{|1ES~{pkNb@cgfF?*FnEXKwwGYnL=+n~UGr?F@kAUgbSCulcR&@}2DP
zG|QXx%##djBSi&TqAd#Y?B3J|*|o7?!!?`bo~#Mm{e|AH<uLw=#rOLz@Ui~#TWVu&
z%S`j$%Aov84zpYWr2^gq?pxgYxZZuD2DmH1wFSWR2>td83c(AVF)=a3alqsB;`G_R
zk)i{^_>_Rld>Z0m*urR`wz9^p`{d`(6_am>VmnCe5S|S!m>*yR9-G%_+so)tbl9Wl
z>f@{a>^fdK*8Ojq%?mYg_Udu65=^J3Ed_#nw)3<4md;c@+I4L4=!#1|fvfwgx4aT@
zE1=u%kyyAqFYdAPw2l|eN<wCv+Ks`@Vh3I*#ee(U%0Aqb&c>aTHEcUj$Fl9fnJWk<
z90jvC!shnv+b1gE=S{~i7oEs&^-E>K4M;Kc=UH5K`d4hiyIPTay;j<Z1@lI1eu(HE
zd3j8xZF#E1-p2|=ZDG$khqM|iANABM@AqY)`M&V^nZlI>A*X2-?N33{`aVr7Ey_t+
z`4^tn_gfnQ#SwsU!;XXTfI2KFEAYcPLn-CfRYEg;gGq(k`&)V}v$@@tou>vHWw1<g
zKuowZ$E88-6{>*=krvJ%VHY*eJtu3ds)V9MR_3Z=m6L*Z?%Jgor*snMhXhcQ2tc}L
za{7KzvQBCI(y#0h<eB-!--5484YN#IbL!Qq0IeiVgmiD~izMbTeXDF-Qud?iN$o5-
zV6K3ZJT*}zVvKU*?LKyjLkb&;ZILG@-mlxSm$XLvOkjoAex9<MdU|_e^%2OGveVMi
zHkpvVED+U@(Xkn0Ai=*6YP_fXqGM8)HoHGtO&G1kcsGeH1K?Ur;Po?lVdw9US9(L-
z*nMp7#XXT=Y%u8lQGokm<u1$`p01OZ*+<grcz;`~H!3QMwqHfqdDbE<N3SZF-ZCB`
zF~!fJ+ed8CZ(HMBOJLAhyFDtxXU;Ud7IHcht^4GQd1+<P*^RBPA+GZ=oFy-jSdOHx
zWG9)m=1|hdHKWwL8=H#|r`KQecFo|~TR-m^)<isN&jHd(mGflrotb{gsUtDGI9bZz
zrZTwH<t-Awl4;i3q~Ff^X9?T#eyCL;P!mh|0cA&mX=|prc0|!;&k4g7QAv@!<00Eh
z7DpG<TXSrl)b^i9uvkNJIQG!)ay*AW$wNp;D0&=)Ot_f0AF>w8Cyi@bOY>9Z6-m<t
zi@hQ%$&vE%^7T13#>K_OG{>I@2FA_K&em){8T$g;KdEqe|M+QyQdz{X&6nh@n={Qb
zBa^azKHhX$jvIT1_4kZYR#P<hjVG6HH)Zk-`vnIl5~-3riDjiZ`Tq2g*S%Kekyl<F
zA>qW9RaBtFso`yR4li7uN?PMzQBk3Yjhc?2A9};{3|3nXMNFDykAx;ts#f_;UELVf
zRJ}DE+M~5m-Uv93(?hC1Iq&~`r6255+h2$JRedOjB9yz;vizh3iS!LYVzSk)JqGB;
zXZvP~4$4e};}00co<`#nC=0f3XAsuF=gA`*0%hQLN=iza(~KEWF!HuoTwKriG_N9%
zSF)^dceH79#(i=wdG~?x=AAWUX36+|r1~#=ca5b3+kd7UDgxe(?-yC>m!bBG7<%(W
z!cTvpAyM;eyiMWKbhBl)hEZ!yI(zO=ihGa8cKZEw$tGS`fpI_Xj}u{b5w0pPuRUO%
zcbMe3Jl9*FtRqIM!A`iN=KAs8W+h8rc6Mp=g1JcB(Kb`&$3fCjr%#`rL|_}l^Q*(A
zLh?IAO8H^p+U&46`@6w0!{o=$)RsnVH~PuxoVO7X2D4+G0f<%j`Gl`uul$QVb#LD6
z1Jq&}3m*EB8bzS2oM5+Q2exc=R9s7wwK8R2zWCtrAolPWR3C~n0nl@9yTJIGlO%^b
znEbGj!2lH;5ogE8$Ga`FeS?A$o*dvE_)~@o&$L+0WB=YU&fCNqSIXl4`Qei%^(b<f
zN#26vn?xelo!eKusqM(=lD^8bqjfl&%p`wp*X%tf)gp+BfHe>aeST^%&UI;ipfxws
zbzzt{0kv4#MfP2mR#wc9IM#16==^w}909T-#&K$Z`e|gJ>wNz)k{kfV3t!*eod#t`
zo1$-KH)l!(p1HoX<|GG4RZj27E*U}Uy3?r7Oa^!O*YJg)UapHRbX!>_p3j~WDxs*n
z41rT)wF?W{drF@i(3e6GRl}BGJ0$|%f`&~=0o6YNPCU3B>nDV$M;KJJ9eQX&CRml?
zquDic3=qhOpRTE`wdr`jX1Fb1{mFhFR@rH+^Zv88@ezwI&rsp*=P^>57_5s4|ML7;
z+=cs80jI9t!JSP3P7R<eJ)ZnBVsWDOji_f{0}TU15@?D(tf$gji5EnfNg}&0{uWyr
zHg}uYcTrV#kGDL9k4-7PU0;~T!5YLMqJ-A8s^B5Ey~Xwi5_`TOB&J*U%aP{j7lE!F
zmrnOp5Co6YXntn($~vLj_079%GfjTHp=P`seg5u-hP#(bycrnAIyu@1ro%tj;nzMM
z(<TL^4K0qIR^mG@)2f=Ni9r=9;q0SmIF>)t=0t3WMjO+nv@dFnz=+zU8a!9kzVq~=
z4xwsSfBwj}iu&2rrJLEj&h^XuP-<2DY>R(m@Ze;BEwM!}d+iMaj@xaoQoc0Pp2RHa
zcW+YCPD#m6cxBOQYPeZ>+kS3YXXiZjys-;Qg)1{Flh{7?`GV=kM}yXF+}?*s@J-iW
zGZMrak9nJhPKnnyRFHR`rboOMu#rI0B}ZU&Xmbldqzw*dwkrW<*mT~fWd*Dzk{(!*
zDO3t9Cr?(4ZaS&sMeqXp!48*^$K_wJD*C>D9S;aOKrku*<j(9X2rndZQ>M9j{fmHr
zSORUZu&@xcS6!~%XlO{zYk&VJf*~QuF2M0HTo^%KtlO}4(?G@^9;3Qvt!9~*xBu$y
z{_}Vd^ArG6ehk|JeTK<8xRHEPYA)Zt!Bb*@D<!BSo6-E40n|)#xLo3Lh!SdLd31%q
z>V<>HAOB2yLNHB6zrMc8=?!+WCT<Sw3M#a>pdM)IY8zUIo5L<{Oq#gcTG~55*Bg?+
zFl?4Pobk->q@=`8XIFN+W-aU-BD<Rv%;_258}?vu?X&xlmnTRRP2{>*#kdP!S`C!b
zjTDJmuc3X!bSlmM_l?25;D@f<?oNzS)^@2Mv?hJpO;zQwFbsx7#YXh*&uRXrbo@sE
z^&+JL)mDsAk%YN+aa9R+aXm=YuNrtRBm50mFigN^;5aUrhz1W3DaSNa16*#pJ#H%X
zKhn&5a%7op*oAf^gDQfrx%Za^A2*0AVqf5h$zfl_D#X0O12P)x_z-Z`&dlfF`T-e`
zqBhH~xDDl01~*XLBfT8yacb*Fxoq=%9$4(i37ZW$=L>t+?VTQJHO4XPo(QAG2|0tf
z9av=(q~4fjSW8v^?cMc@abQ5X2_~_9qv@yO;#XB7D|yv92u+!x2kU(N{q;eigQr-T
zut{C{`ANr%Q$F%aav4FY2+xR_n8f?s%&{FFnCd(Zp5we}GpHzi=@8*zE4QqQS6rn`
z%*>SWqhDWf-M_JIIzQFCU6{+fO)$jf7&G%LgfL34bS4mkHII97FgPrQq@!xLG6)Ms
zyAVsCWCP;3BF*62k&bbMAGWmk-iyX1Pw9=3(Y~5yw*E?eIycd~&>9S2@}(|Ov)P;u
zr)6@EVr!L$6nN8S0-Y%!(8<ytlL<bdu#87Owoh5rApF{mAii5SWJmA+?kZhq-4S+N
zx_Ph8*TR)0bDhlQCH4iRfmw}0{RKzk+-oz*ygP&@pZVMbOE#MMT7T>9gO+>5NrE>M
zm@0dNfenA9yUrB#1Bxe1gz(}9)C!PRuX~T8B1j%+2lM%Ta7W4F+(g1&P->b6%kQoi
zQN1o&>~BhsQ#`}S82;%7RWa&>_#EOfrGK6M-6f@=@%oXcCs(;Y2S>yF<ArDGKMzI~
z4_ny_&wgtkjEM>!&shdpv0+FOalNAV;&#bY?;+!$;{GnN9CNkTOUg|P>>8#tLl+w!
z=em^awZgt}cR8=!>-k3bX2r1f%DlhN%^};fJJi>?pMJRBoZ8;?2iQa&a2?lUczu~#
zKl?DQ3;y2q^XFIO$^69f)I@@g9vlzWZW=``94c^*{54)Rl`1}tX=h&Xqtd-P$h7@P
zxQco>&y>G<fBg!OWY7L2ei~6>W{#Qj`_nKcu%eQMGS$<IWO|chO(%V4Dv>zXHE4t6
z=(6B*E>WvFdgbM{;&H(CJ=q8C*0R1NNTn?&3$J~+6Y38dq8(qO=rvwG7UF!vCe$UL
zRWY`k>s!~4qqnsHTc*@JdKWrSopay1bxTWxw`EkmY8)*4n3}$-A)YwBfVDw&@`J8N
z?Zu{nSHmw;<}Z4SEcfwjsG4p~)t3pI`;ZpMfzpnP{Po%4i;I42<(u2c0wGS0I0*?h
z_O6Ct>vN}85WHs-iYCO?nlB{tm0h?q^Fu!*{l@37Ur%rs0>)h?C;u>6^PDQUITcjh
zPEVHI9C>4R6dSQm^86eoDtIrtnlH%t?aUMHx7vN|eBazU*U-joye%D5OA3ex=7T59
z7({AZYTt|$iVx*lq${4<+-6}CQr>e~Du8=)>{GJ%*fL;D!+3#kIR%B!#XFgs1ZAFf
z(n;--AWN66yy4O<+iiuitjjW+5Rp{Vjb2QNij({6VxBkR*eiqdd<7<eAEZ-QWjWI4
z7GHWH$25M&$>>`GK{)6yv3Xw|6mnFV7`DwN$;iy)v>|ovB}Ia}7j8Z*dxux!H_8>Y
zLU&%1@73Mi-6|8Pzf4XR+77FQBqQR#L|yO-&?gY={j2!+6Sxx8&Zm*3^Z+q_MFyIs
z45+=kcDvEhcBDo1S|H%AVNFd<{5$~HSDeQRJQV}zG4k>2lYB+yyV_TlGpE{a@zLo4
z|NlZ7OD}WAZV=AQjR46}`k3+MH|91vaBAoDmr>;MK#bsVaByfi!yx2X=ZuFJ37~wG
zmpAkMIEac9)q0w_wmi@PPWAWqm-JZfi>ft*l%<RKs^>T}Vv5*8ReTDi-&)S^CTF<J
zTKKGH$F6r-3rIm3AW2Gcq2Ns`GX<`a6+(^Pun1rmfE4i(x2xJr4h}Zk18D%U!aQQ}
z(u+*{qcXu7*8*?o=v2fd6&MwFCFNz#>Bc-+TWsXTiF|o#G;iW5@wP-2*2KZf+c?ye
zUhcJ*^J8omNa`^)v3HM~&jgb`WM%Pjfxff?_<D|@{8~DS-+A^O&sqg?402i{M{w})
z;ILTWwWf*#RS|}vSEqIPKd8&~TJidq>kib#=rFxnvu?xgfcC6gI*dKu-^Y7#&e+FX
z?FV9_zM|;z46^4wI=;CLJmE`-NsM0>mqy)Y)JlXN=aZfvT{Aebc)hss#lFsmEYFZK
zQ|(6E){-JoiOip1s9bM;)mPz8CZEgps;Y0-$Wse5qnTyO32OCMz~Ryf+E??@Z7234
z0FP?EV>%8}zTybVnk{?X3@3exew1>sxzx%|Ycox2@-?%{iU?{n+l_UcH+BVo_7!>g
z%H_)sXsqzlKk}V2v3nigGiZB$v^u-=M0_K~r45_gj;KI|w6S!8##W?c9!<(YweOU0
z42!8@Q?IDRZ_c=@Dq*mNIzCwN>;Y}JrS!(r?EdA1vc)<xk~`{nvJp|5@yp~ueR=Qv
zT4wvAecru&H)d!#sw6jSLnsTmwV}M<I^cj=)`wBsc8A`e1_5Ab+Hrvk4x`_PZHWz%
zG)2d6`H7X+y07|K*CyJT&*x_R>1K4}mbH41CK0?_+*6dN57L%#BG_0MzaS$<i8pgz
zdruMf6wALrcX$pofqD;gu`OTAKYu<&Bx`cs(KkYfTc6GEbPxr|FXdPTmX5wHc5}Ft
zu<E>&I)JEcqTmglFx4W39BI7TlJR?SEy#DNq>xTC$V-`Jj=9#Ytpz95GbVGKuQr>a
zx@mA+*V^=f>lPDBbk`h^=A@c()~-Be8(};3T-yZ2!p!nTk>yz(<7I*wYMA=2<4t2A
zHWP<a5{Z&R4`=hR_s26wQ#Nbi><HKn8AL2HB;`E`tt>C!^0IoI;Ft?HlPx}V0|4m9
z&m=8OO9v;>YCC@$^**l4@<BbvX^{D^7oeq!Tf^lk>QVKHyV<cHg~%BoF&h#d<o#~J
z67x<Ua5J1Dw#bglhLchkf4KR4xBEa9nXq=Ms3_efSlRW`jrG89`Uz9s`*~vP8h22P
zc_X1M&JQLvd>IA|+@YQy#?+tpWc@fzc;*6^V*}5PPn$xfhzQnWmeYT<a8S_dm)F$W
zUjU!uYLQupwxv2(mR&|$Yzm;OH0TZjByVY6dMms%DUXB0#HS4PGJP2(-E6)>rN3<3
z+1mpBBhn@y*DpL}q^n#a@B2FV#*>{@!Mj)YW|&sw!cR{QwQ^VNP0_YJRZQ)mhn@Y-
zBHk*Fw5ZEviMjC@H=KxW)<d+xws^@IUY$p%OoL#~wAVKDu#YC}()MdQE*l?a;kLOD
zl>K83v0Ke0T-5*cZE4{sT)gpO%C=qFZb5ji`?;1shf(el@br1NTO4Ja!-I6xBkRpc
zK~=3Aw$m9fy+Q?<6fzua%60wYJ@+Y;o=x-Pqk}fJQoOGqM{cCoiP)Kklacd8`oe`f
zKTr-eT4rZwD>*MGF5jBC(j*fioPX)YI6yd;){IAm9@nm8(q4V0-gl@g|2#(7o%e{B
zhg7w@d}$R-^5VDaHe{Or+&R>>F)m^u^248;COc=$rn5LxRFv%kz@a2!j<*wS54~Yw
zUXHSZ-e+nZg|jEkg*^-m=2EmhF<G6}kcA2-lE4`nJECHBEpNM3N-x|?kH8Y(iqdeg
z;W;V>WE~P2T<z#g%$TU+&fi<XOF}pIWg^f#^btb)2Y<W!z=4*-<6xo;Ktc>aBSpm;
z@#)j2wK7x%pxBvvMEDz*>Kx3QxxtV@5M7^M`Nq;bjsxe%mkCEP`cl_e4~z~w99|I>
z-MltrEE_y3$uc*`38J`Ta9h0Uw)oqlJqP)W+i}u>M3i4dee;0M+qW>O)%1IuGKZ!^
z&kN!5gJA6faBeerhAsFe;bS0?&zQAD1J|Hd_~uw#TFNFY+~ybpYruK%TV$&Ib}lY1
zo5{YbBsusbY@qwjJ!wx}1b&dcrlo2Wel9uqzzletNocHt1pO!>ArThk=r;CYBRN8n
zBR@^NS)nE4OJ!xojlE|~UgF-nGo3*#B=lQ}BndV*HgoPY$#t*-vuG>;Jtji8oJ<xB
z(bv^AL<%8C_%Mn&E}0}L#E?hwCZtI<1b`EcSsI8-YQT~td3kL;shV;rDStYE5TKAo
z;=U46c>i1f0l>yBT@CmA!M%i@zsr67<9cQ$CIg%;qw3JxjVZyywqO$6ZJ@Ln3$U{%
zUb;bbAKVwT;Ak8MBLIiuM2;q3rI0T81sWX8A^zZjPCFHtG$sb64}qC=ZaDBr*fMK=
z_FE0_lTQU_m2Wl0a%Xa&0<Mjc@n<5cDUfyvZH|K{6I7BfKmysplK3W8BReJH&eCa$
zb3e`zQ0n;>P-mXvTM4nLeJ(jUIS0xX6A9}3m^w7d9N}JvqeXW}_E~2K<d*%LE!ZB}
z6QUd{=iRgIC=lNwU2UML#ZpHQ*Nw}ZM<_}+Ze-Wh*DpsI#ZmP%uh(COBw*S7kY`w0
z+>gnw^s7H1U#0B4{{eK#g|M5idfC3;E9~`ufxuSYt!>yb!(;X9>xC&qh_`Rw8jg2=
ziN&6Yln#pBPA?D*jftpg+w8lxC2bDEF;)+naa-(SIGlbvsx{Y6y%x&Qlsfpl^oF$F
z-ty_;=7bqfJO;e^i=ZIWe9$v50t1cns|06MQEyVk>tJg&OoEm<c*?bE97Wp6Q%NV%
zeY!=IGI0nc0O^&nqj_wHRF=Ta*8{R`p^FMG)q~mQ!jIjOx0;WFX9zfW`lk5%@!&@d
zsC;+7?EO(dkWFbOr-t{K;exgeyj-qwTkf)PsA9UPrKKf1I4Q_pDJAFIJ?A{qlHD)~
z4yGry1(E?X32>qjVi-tfIB9a`eg#fpcN;^kEBpMp8XPcHp8oQ<f8lO>H(we6KY~~z
z)+Qo?39B_HG((&oXf1NC2PiFne%frDgB4@m`J5MalZJ)H9!nNpUS+50p>JnL^9UU=
zNYFtJEMq=#yyfzJWLvuG<VjQfl|8QxLF`{s1&U~=+vZ$xAeV2Y-jM}{Ow&P8KQj~!
z&9w<X4-8KTV=ii`dQT2I4RLC^Elq*6y^3<Z#A~1YwUsp#m2k#*zPI{RhqG~EnVFaF
z&K$GQckO1=GwQdBlGmU8nVz=(Kovo{bc}+W7KrWvwGau`gS|UT(BbKK*8Xp~%-P$c
zYE_S`{yKSU&*z%AusfU!zp^g5d3Zm!!87cN2rxm$-`<Gs7qou|LO7n_zd+Fk2szo_
z))n0KC|JAXLeHxca6x6ar+CtGK$ljCmkqnqC~(1M<TF=Qj-c4e>`&F@77o%Mu*yn;
zn@AoE;)~$mgVrXZQe%5EP0yHozb1t$;MBD_fU5d{M2IH09fF6)qePZss#9(^RfOO(
zRcpf*Un;juNZ}AC7`icL3ObC;AjIu{sZ8#*nh`f65!<(lp^#8~;#xr6DM#2K^7aAh
z*W+*c35}3?8sb%pn;)JkudGxecv|GfSh=?nP4BMX{X;*O!`GxjP6Gq(9{xJhv{_Fo
z#OcaCuA^=^ox5piqdeJj#38o51Bra2VheXo>WNMIh3~lMdE|cY`c!b~jkiXNuxr|s
z6l3=2$8SoveLqcW-YTXcm?@l%I8+S%V3ofydJDc88ZyBtk-(8|0EP0gK&#)ax6aDV
z1V~itM_GyJBN%xG$rA7*fgmfW)A<e|v3(9+G{_465$^u8^UulT8&ab!*<9Bgs_va9
zX=JGH{7nEBuy#wjE1>Thz>h9A5JLKAMsM*lhTG%c#25&f9~=HzZNG1MPs-(NXCxir
zL4ZBf9}Vu!3QB~Rz*TI1{X%hxi|Q>%%|%TP@rrSN@Ir+G$RU8sH!xe|J5CYyE5*u*
zJ=DSeLLRI<Jc?vrUtfhokGd=J9444Zkbl_6-0V)A36zqK;)<qL9BIsEG(&lGlx1Zv
z75AI6RA=CFDrSXpxdW7sZE#uh3+*fHEGx6Ye7D}5F>f<@(l#Y1-AcL{(+6e3tQib(
zX~1-zi#u=0-u&Ms2gu{*8#@p7^!+kx2i4y)_;z5q>Eu6EK0a?9&iaG&R;>;GV(lh4
z^XTl=J|(%{35b8Y#TynD)_k2PU-|TC*B0l4G{rDs=}YCduhTsbodb}OklACg+nP|{
zR4?ta+u71@y(i1M<v^87->}CMi{jmn3E~|^EP32J_nKG;qkV7)Nd%xyytn*~Yn#6U
zLpGnwqQOw$<s0p!PUARnvycis`MVpo)xDLZeZnB3g>tbWAs^*J!CK{kdlylT@O<Q>
z%Y3(n;vOwZkp0M~JT6G{tXy2F3XN_fCn+n_U6&k<bNCpC1jTH!N4NA#V&#E$7+FNF
z%kB(!D596a#oM@L5pKQFw)}?ZZ%8q7`619sN_~BN4wDEk+erS5Ry`aS1V?XTVse{$
z2b*%@R--^<vIO_==Ve?~PIm}I#C*mm0s+zy)M$L65QpvrohjYdrGqZFj>Vp}8yT`Y
z3+g_>=OJNU!XXXc?Ag3$Bti@piwmqP(8#h^%LyAdr6!Xzpf~?G8F9`M2~n1YRpDL3
zAa>-ZT{7ZjE2ouW<lY`JmH&f74;b7W0vi<H{Wi1NEUUS(QRviCy80o6{+h+>WfL_$
z;Ho#+4Ep2zRR>Jl#yuwUg=`cMnfqy({n%wxqpJJ*t*2EML_&m^8w=1+_(K7wsa`ry
zb<Y)5qH^d=Z6QhtHVXo=%<!?BT?vDblN>2&^y!Afo<5bC#Vg~s&5>kTIhXFAlfTQ2
z+UwevJwFvZ|JaDb{A;?nq{QgcL+XZhZI>xUl|j3iZ*Si#YptP>V8D~h!JbU;Xn2jd
zPb^Ngzo!}es^An2lN&@}k6G)#=m4K=EpSVG;X0v?k0D4c#t~gOrD-?6><rNjaU5V7
zlq~P~aMv@hvgUE=-te;{Sr<{zlPmOU;pc&H69J{`^5)H(VKP+0k~`Z<2<_q@ar*2)
zFrrWB&o=Zf!hlEkW5`7L1P{nJ{U76%R_m|4d-T}~j-hja+LLE5l<f^?k&jey)3*3P
z*^stSU`w6^|3t&`0OlX#x=W$muk<a4T0Fe6#SRDrNiQK$u4&BGDc!!bI8k+fIRyFs
z$<}<-5NjK{RNI=1GRufFT)!k6PGspE!S;%!e<BdYNo8)EG_TTRn!+D>LyAKqt6D!h
z#BEs>qUv+s716~OpNimNAm8Q-<r|GM&&4Vw7_~;VaQ%?2fpnf=)dXUIimtRRUc0bO
zp#3NllYM@pMOIZWvh#jkv)2)e)UF@A3aY+-P1`99F=Mk)Yk@txTLn+!?zlvY@6b}%
z3l}Yi+Y7Z3+Uk+~s9HG$o~fJX*9Slhi`vqn-&hNVT}LWcY{XyTO4xT0bHA!WI9OIv
zk5~6OcS}l0q(lnsl5AsQVp0kJeGIgsW|%BlBGy~uwXmz|K;VYll_SZc5o76!hdNsd
zP=6VGAv3$~8VME|y1#JVAXs@{I!Nbun{^Z)--mvNgX<b(S)ZFsgddm7sP1?wlDrjE
z+Bgj}vqXOTvCvm%?GpQ8_VT$I>^Kl}VG8nCb1d7*lL^&}fJ^EV%=>a%&4>yTIBp*(
zbS#7()-n=Ht@H}%+WtvvY9a`vxz@_My1KQ4E`te~Um>AA;VjA0V26%yur^6s#Ml+Q
zFh8M0<uqlO8Z*6uJ9JJXq^R@VK)`8TiATi~a7?P|7Qk=0b^<nIg9;}IulXgfo<G-l
z5d)o3HOD$8y<L;tpWk-q<y^<z9amtQzHQ&SP+m)@IiXhyU6;OMy|3W56x;i2qoj<C
zV)yY`Tni(Zj`dCLaEF~De-)+G?9S96y*y*8R()$e1x!8T7x=VluLN*^8EP+V@9ycr
zO`^&;1CtrS8#XvXOVYkJM>q?<(*o1v@LTsiBlyObi(NwidA|ta4)>ov?Gu%to~c$2
z(!R+&&%AIc!{;VUU+LR3i7YVdypPvR<MuFq@)u}w!f+4?Ch9VIZmLmxsibRosWWL2
zW{fQr9FnHHk2j#8OFH+O;Q3xI>I`&$d9DZ4_zPAwPOvK(WdyXnc3@7fB?I)Q!R@M9
zz+1wKp;kWfJ-JA5{4*nELo$H#g<JL+<w$^wl`{=yAM87BZ}eiSg>q8ZLxfZtA-qsj
z%|8nJX!rMJxY7eqckcBly6*KwgdO0^q|JFkYS)1S#xI<}Te>vttDMMQ;1VYj_fp;5
zV<uxB;)a_(L)1;g6CyU$m$EW~qT2g>MN3*nh8Gc^8zAIl^%+o@TeI5i+8jz*3&GTe
zc5S<?rWR122*!&SPSWF+n%+XwFKP6V=f8s8O>l8Vwa5ilYHhE}OtKc4^9db)&6Qxm
zAA~l7dN}fZuROu5CF^)Nz;;h44>Zl+lXdbNc)&L9qNUaU2^j$I<Vh!g_5K9kHsz2m
zl>bUXc$Q~SM9rxC>uZaX9fp!izha555ZK}<L}^6Rns^91dDx7<@N_to7CQ%?KZx_z
z_M49k8~Q_TXDEic+Gk}{xwvNk3NZfKl5JIi>iK%mmKK+m!NlB3wJI?EKQp&om>MtV
zP#@K?)80)XYx}I@WF(SA0I27+$A+(I6-$j_kp(*huupyfY&B+G?5EhLa|K}hZd(SJ
z+1dDGbf9%UrCu-EV7%<UW?f!l7XVdyS-eW}N8?u>2OW=h%n#c--CpWR&@u4hgqE<)
zF|f?|j$L)=dCIoJ5suttEg{Fr<FX$5KZUDdzy3hb&9ZbOHw{CTvCw&DrEuPuz4-F^
z^H^>LYA#;#A9>1#_^=D}CdBRv6F}9WTVZ!>%hK-?qjNn)@(?A?CA-eF+O5$sX^4MC
z9LM-VH}KW&rrk2Pnt!#dPb_SNjif7md)0JBSs7J!>z&`I%G7MKcI|JoKl+r3(ng~c
zf}O*}ueo@u@9(Z3rl*DZB87ar;NGBfTeg+HaT_Z3J7!gBY23!yFn-a#q&2!i{z^D@
z)XYgo?bXu^sK*Od;2O?rAl$q1Fs6iNxB#NO-6;=?4pl<)gxGy6ZDmcH7pRtgt2F`z
z8@^ZouXfRV=mu5qt^Jk4VgwpY4|i&n5m~Yh8)tBtyeeM$<smiWW12$F&VELZRBvsi
z`N)!c8AQ<iSg&+@zO%DQxQgMQb%cVmTOovF_ehnDc6$)?jN+5~AIE@j767+BKQqdp
zFo%#U1ZE3~Um>~SEJ&GrRDi<0U_wc8%1PUsm%1ZmLd=97zNZbWh?EhYy9DuGS*1Z$
z?l<g9N?>fB`L6iRZ{Bs(Uek5xdvZfh4b0Z8V@$T0&}SU-qr%lebs=UbcZ|zv6GA<J
zhNH{gnz@e?ZO@kvN_5W&%<N1?LL=nytyziCwJrgi)ZC}lQZZ<Qz;DxRnn@X7<YM?M
zyCstZujW%&Ci<)#bi81^IK;9d^s54(H9>M=(GcP{#DRF+%dA%vpdKartI1-`0$62*
zIhfhmh>!)HXduaLDXwasu(bm7?aqow&f1~MYS!#Ue^v<+$V9FQO6eDVe!nJ^j*i&I
zz?9J_DRcKn>FpN#t|tw5TLl?pX~j>KrWbXNIc*+5oJ?pwwEi@h=C_fN8=RkM@KyFA
zQoIu`C4zECr@(D)<A$#}qdm|k)Z!P?AZN=xKPtsKKF-Yia%sdk_xbbZQ;5%$&VAM3
z&Ekb!=6xluw9V!u$iqC7<~%okVaLT2aUXBJeo%xE>r(Q|w2-LcVDt6?8=~~)mIIX?
zLw1(SVoDwFHr*A`8}0W~6V`4noo=<Rl_D6A_XQfbBf@eNI`8~J00y$D(D%f#G?`jU
z@$q=dT+et95$;jK5Cn82#Ji*H?3G~NYvB&&!kuw}LJjfXx?eu+>PzFsM4pQewsJzk
z;e@?T1FAnI`^9PII_<314D)ug%TMVH)iO*B5iUp)5~o3!@S5jODarctKQM-p(RC|Z
zgOa_f9RaZ&JFwjxuk#rf+mXX@cib1k3sQ(7;fx@Y$zH8yyr5OMP#UMQ7X?C@e}8qS
z8Pd(4D|MO~Im*mj4AO=u_~1o2!v)GD6_<CR+}DFT4|#E$;mx}XQ#egd38N^_^x)Kv
zgx5C`l`V0D+@?)+Tlby*bV4;HqWbM}8xgOFzjGVbd?McV^=lI#W+Os=!&d9C>ehjK
z{RtBnj7^18PFhb3iQXbzUb7a1V1U`$SVgwyzP>~{HAKAGhk9iWwwy&X89Z$-Cc=@p
zzD2KU9G;HtDrag;cVCG|2Kovay#>#y#4Ixq<<%>s)T$FI@7@bU-py}4cl>eF88b=0
z6P(E1JSd6JV8OW|3ldlPHITPz(3C?kySY(0_g;$k(j59Mt~0$NBD?-8E3pk576>!L
z`zZzy*A@agO!j>%B2@fOB_#paI03*#FWr_WLI_P+v?=jTFlgl&O}1sqEqm_ewSjPK
zA6!^MF8T#i1t$R&2>XNKkCeADYU#0$pl1VbN5Z2UY2IEyh!(D5@=o#rjP`dOC<R7)
zdwO0G>3(vgwOIjD72$k9{tBSgvi~qhvz2+DJTe(cN{R>gloR=!8&EX;@-fh}-wBzB
z$e>WRPF>T`HC=Ch>uIgU3^3LA>koD?m;p1(b=cCjB|fk!|MG<s-4VPHVtD;EEFaa2
z0TLGw%D=-@y>dm_3$}b$zsqmD=_-W_ICaC#2lfp7ae_R}pwe4!&X-Yjl8vq08NC?<
zii$*;dla@zZlk)-lY@;_xb<V#7{ZQ2VKkwS`!E@{hT<(p$;+L~{q)xnllKqaW&uyf
zHm0CNK_Sr$G?(C!U<&Q+{l#At6z3+bvNZ^w?bCxov9Rh!W4r!!6T((4iY-Vp=y#l8
z-S36N-rku3n-!E|1w3UX5QL2M+bP~}BswHRKjTEPAov2W4kFSKW@U<d-{2u&CZQY-
zHaVkCyu<7TqN{K>1nK(tjcaLU*1W-w4v9-i)x&ZG_YGSsEGPdOoo70p9BH|`+JoqR
z?DBtU)V%Rub!Yxp-~NBLe{;3_>wnHI|37$f43*FJLruV-Wt|q61iW_AfV(2dVL52|
zAZi)uzRj_q{R<8Uas<kPvVQB!d~YV?;cC92GvT%c!r?;;?%pKW2T5djGEQ@GG167c
zebGyWe~U!!w%~)Gk-qa`rOfN_@(q>Wbl3IvrF1%<6;qCp69wV#vwa<f`&#j_2cJQU
za&U0eT=$KpqG3f>7>Vq~+2iU|etO20kD<*@R}ozu=?qYzy*R0#_APd|Z6x#UIr2H5
z0jkIM9n>HBbA~$T=pFDe4<?4`OuY`H#rC*Wmgu@w&;I|m?%Mysg8$##<Qsb-V%;WM
zkbh7#jlsbY?XlYr3KEOh2OUre0LvOCkaDw3F@Y<qOR*`?@_7fnh-)6Ofkxj7Y9<Lu
z$y(%tDU@?DfQ{4-x39kRV^Rx~y>VSM{E&{~_z1!v272=tJ`f>h5RRj7D9X7lyTys#
z&OZ<IZ!7QPgqD`OgxXE;4+@!PnsDQRWsQbOlaOFQPKN_(A<|ueXXc@G^y(-6v#00i
zhd~*b(4bNuBcY4M%i?c;$Ug^rMej61)L^t*nT!$<<=g-Fj=U|cc4(P<aT25s$So#Z
zA3=$bNF<-_e_O3T9{JM<a*2=dk`f)zoR`6plHu195*mBI4vj#fvO81=P5*_zf3Hm&
zY?yI?C<5`E{yY$7;0z|?eGStYCHz6unV2jeT7Wa*Me0Q$#c0_N^DP#9bkt9OE#e3r
zV_ESys~u8xTy?~$S(1$2o!Wjci%Y%7R!_ifE9)N?1wr9L-e_Dedu+*nXQqWC2u6~6
zq=dROL-`-W)9&R-C};G0yV1m(DZtsgF0ew+#phCY)^pZ}@#D5bXYI`WC%*fLdr<qf
zh;Ni#Ps5(0lFTzm9AfGN2g?1MPrKt&-t*^}95?UnGuXXrmzCDgMpu<}6uzQ8iDFG?
zk8(i)Mjqdlzj4RGI#|`BfkX*<7LAO(<^NEKmn|<#_AH*_#i3OHGP9!jJIL{}z*b_(
z&+#jd?94-?4P3@^=m#TI4@Ynq>O&U%JZgy4_8y`)1a4l1=uj|8_s-UxW`;BdQ2!^6
zu%118_9Jyr2uy6S<#LcDWMo7**d5qB;XJ&tbX;NN>C)@h;$pIi@L;m0(&g(D?}O|m
zNw&1K^nLXTzK}{8q}zsx^?YJt+Ywa4G(y6|KU30b9Aa^^s6g^zq?7s*hYS{R5pn;S
zWl)EWCmKYxz5HTc{`CSZkJF;ClZK8&^|B)Y5?7T2Ttj6ny(H?Yh0hLc<$K?HF3FyG
zoy$;G>#|43>uN_XIXv2n^K?&Nme35>!>WkSV<vW$+kA?MRj$G+7o!LA+|Ad#yw%~U
zt36twdHftZ^Gfy(7UaP_s{1Fo5o_o^b{sVB^J6kbI0^uGA(mDvGx0VaMPVrD2D5vE
zYhke^8nOUWMNeS{!k=H8LM(6XfDIxB)-RwcRpD}`W5)*3Go}dPf#vds)t50xX)xK#
z%gGVC=Msw9c~r!IL_v7}iPl;4@ewW3gjf_S8>V5xzWQ_Gtj9KMk#b-}0FA@}p%#rF
ztN(N^<~Z%le{}s%Q2+ND_5Zi@OZ^Qp{|~oq{pV%;$A%!rK&<YR|9mKahGP6*t%mzb
zRa?GCseSJXgInvXo8*U===`Y4)J~9s24rJZJVfm>6=HSc;uSsQ(v)Pj`zI-RX2cH1
zru1c~yj4?toRIM}!QgI_O?;Xwt7eUW@55&|Pg|`lTj&NTY=7SU^p;Gp_h6Y#tDf*o
z?*xK~Rk^Y7ME07%BYz(j#s4?Hq?)!{V+*V9?*01*Mo*V1SXfvD51(6cHCNc~QIt!+
zbLX4TLv7x_Jz7dz`>p4bcMfLLZ+BSKyhO2O`*tN+ihS2!u2NJ~R6m<Kj%kFOZzcZR
zc7Bq<Saix>YAwZknN9YdU;3?o&2_O>-+%C6oFV<dx%*T!i<)bhL@!^S&s{J1*5lss
z+IG?P@7}#Tb$`Qm{^yKLOqUKHKD^8x-qN+-MW+LQHl-P-(Nj`VzVHmWTUylIMd5xx
zW{$*qlI-IX2J4-h|JBF~7cbIKQy(VfIM1b^=V(#m>fCN>>dvL2C3Nu<GeN9Gd*soP
zlE;-!^xlXl>m*<K*_z^uwy#MF0sT97@6yoFFcVNn0rFi48*9kNk00}HA89mL=_Ib8
z&p7Rg0`N4s+cp>N69c_QWm?wOX@!y$6dn85=M~=!(0gBKY#gAsx_XOrW?Ksv`MZ}h
zTlYn>6yXL>)pF}@s2&~W(7tOgHSXO~8f1KT#o|c;=lXG;ro>rI3X1n4DyROWe(Y+K
z$L@cR`hR};?<xP!b@<P9`2WkfVEx`ssnP=(d4AMwB`)7-W&qTRfZK8&$nyw@b+Mp^
zFi7K3q2%A5dP&Ml@11`C6y0`Ea5kW{>NS5j+=~WKu!wH*qY#NaiaI^0R`KwA$2HVr
z`yYf6Rx%jn=PS%z!~6OS5JFinD~Iq!!N2k1<;!SDW=7~BUS|IrY)(-BV?1{G@@0Y;
zSAZC-h}J30G1~Vath!p(rmy-u8ijnAph!rVWj0sUuNLC&JZq11oRmOoG7~A%kQG+3
zs`}N`?9Njr`hM`YeO_}|SeR@4-`k1bh0od3GniE9$5fxFsovSyDVm{O=;{(I%a;jT
ze0}uQqMCU#Ze)VC;f{`L_wV1IOAZ)ko7uJ|NctG>rpf1_p&{)Xx1{ktOrhW2vm&vP
z?cTk6$B(;fiC7hGz!fKMbN$FOU-BM*{`uT!aQ5`pyNyf~6pKt9>)MbrhzU$&ZZraf
zOgn&zgJ~{k)QU^*Yqh!S#DVgG+;4xf)vp8Y9OhR-hZHeJrkz=ZRfy@*t7Y~h?)XPm
z?)R0i=stY-ux4iAn%Ljmmv?kdTUJ&!dzODUH#KIIxl#4GH+KCtK>0yD-I1I@c4Aml
zJ2M{CA%-6-qtP|Xqu1U1so&A@HY(RyZSgem&z`%e={i_HD0_9Td#Fy5x`<)IZXaI$
ze!a<i<A6x?cP9{*J*Xhn=sI$4vjfLUS-|B43W7~Ys5SPqxj0r0vjE76mF~9L8m@`a
z&Q#mBDO!xxYkz~CGrQGHL|H-jzK4gC$lCn|g$tA}a%&nsmzBxcQUr0GKYzaM)nk}=
z%f8-R&J-b%lNG<Fp5BAP@=YouURy&Fbw=3y=lFfYhP>F;%&a_m_;3?R`B<Yywq<cu
zy|0ko@Hz^!OKbLx1w_Vxg6x9<o*0xw*!#*)Z4H@W5VW_rT?G>#<)WL$mD<VW-+h+Z
zYnK=Dui~MZzYj#+DeLyBnPgxP&D&7{Z<JwxYvN~t%eEQLZn~Fl>FVl!*&5ndg)K44
zkPiOZ_-@GhNge^NROgnZMj7XA?OXjljW6ya20yVqb2Xo`!kXz_%Rfrvj)ZE#NR_oB
z)_X4(zAa^#LV0fe{3OVG?eA7SM=kqBf5ajaj<WzkhtqaEtEJvQ@7C%)+EB|)^jjL1
zKBXrdc5ov~WUbO3he9boZEb7mGy_$S&QtD>NalZjt>HMNHx>*J3cRMzm|$*}g+YMr
z-7wl;>@Y8=*YU;QVp8|$p|x!-S89EmhuJ3`R)2icdK_c4W~<{;|LlQ3-?z}D{Ivh?
z6g%02)PI>&cd7sPeyMtJOix!=wG}M_e|{Ze@Y|S&zN}h^OEz#O$L0QAi0&H>?*oDB
zpz%hdDo00e960#H-laNIr&fPhb_8!HjbR&veLBr%P{{^8N9a$jhSkj)Au`Tmm5_9|
zEFX8bgYrpmZv^=Q9!-K=87vfsF-Os0!{;$EA{I22y3mQ$_x3%D3nO=13rxZ9NJ5{;
zThJ#w=)WQir{qbHcPwae2UQC%=r&&6zaO-d^|?E5Cj2%;lM{xL5eApKKh5!-MIJ;`
zG{{@RZVlHc%iv$0;ZUeA?v;^`PX$7BHAF&dtb`B-EIjt|Qb2nQG|)s$hMOAtArGHU
zc8l4}6zgB2&15i#GA|okp8=f1FoesYX>;Z`x~vGckC;gVckvaovcIc(KWk)7l3_qo
zs=oI~;fiZLB(|z;jcD_T4h=m-_>VEPiLgzBt#r=+kDQ~PWwvJY{ubIv7#Z2nQI1yW
zZy@%WNKgRli9H-7;-*CmF@sNU5)EvUWWj^pP)icQ_-G}a{+o=>lyP@V*$d8tE8UHy
z0L3(jK^P6NjvXRltYaVqyhQl9jiKZ|e)`mp36aSdYo&(1mCO*dG)JB&|C=_{sn|WG
ztAfr(;S&c4{stYBdEOrP@Ao5L)ggx}LL|AckcH7l`ORo+X7~J$t7tf}!+v41KOCA*
zj{~f2dc^P?!t#Fq-o4p6nGxHA-laAB|6KDX>qx`-+<QAYw-&WCQ@AIn92{GQ9dg<X
z{U{RN!t>FDaQ&v>pkv?RxUxSfFtp{Alsq`tal3uYJNNDDAKgjuUI`yabj`ylhbDX1
z#}6MKSJZ}Zlo`$XXS0=sT=7=_;$O3<`9Nks(MwLe+9sD)kYfGT@^x)czWmTAPyDi2
zH{1S}TZo+1+O9i$v!7l_;pB;yc3lehVU^{Ey`6tqB@G6@s*V>CFqPP678PxAn@Qj^
zU3~x)BB{<BMxo>=hFzc}_A!)HmXswJ{qu)qUh`eI;s5hN7^e9Smkb?fu=OCn<xQVq
z223s*orY=I{J(t(?7<zaX5eyth68zwf3>z{-3qVoS$&gp?^6UjFzh45E*B?EG{f7=
zYtoD`BPQppPOYTaq=G}%TNSdBJrVjQmv<{;yUX88y`L)BK}=7uI}69<=V^$Qx%Bk(
zrvL5dH>Vr-wn|G#u%;}*RGHUI%$@viKmUoh_lz0Q+46ZBNqx+022F(nmaA8I=o;cj
z8+w|lwrqLML`(v3#2748a0RBc80vuNPa<EqaKRcvmzw5ZmVW&SJQjlShnIJH*$I1<
z0A79^+KB{u1BYEhNM0DD@dRyt%_A6br=XzVyLwgbmStVPqhWy<fFGuyN?%{!7~(iF
zLlBC~$D$%dQ1`7ERzt|^nAmfxLO9ZJAfwq#9{8^3x4ndhI;rIHGEBdRz)HeSlU!{J
z>y&S8KhX;kTpGx2cm)3dm)Q+(P1%t5Q@b_x1feHDnHcPK5Z(<^O|X#DB*b8Nnc#7#
zhFPTi&F(+TAuCPHa3uQYa4)VERsf!gMEeWIa|n7LJ9dnXpI?<QJu~&=bP-eCW*mx6
zO_s4G^?@^QgiqNTZWr3zMDo)oi$ps_k0s5I${x#}W=zcStUYESq$+%ux0Enh!!3EV
zDj=_rhyiGu8^9Pzj=0l*F5(<N%4))!#AEVZ7P$87#B0L<BJ@9H5FvW-ji45TzV<Ke
zBIbO6LQiv;(A!2Ypm6?t<K<(J>*euh3dZW)PJ7G^OE<V{vp(OK#}D6pC^%L&M#hWi
z6~|gVzEWE!#oHQzKyBYR@Gpz{t_FPwHkbhi=|$$j^==1tsA`Z)V9Lhh%q3U^7k0#G
zWGi``je1bL&I@O@UL?RG+@Tl&v&Uw%t+h8t;_Mj-Gd!?m_BF?MHTEQgg3(y|#asAi
zQ~;uTEG!}Sa{t_K=vQdXs^m!zk;Tq{UZRtbBnMnEu|B@|Ta*j~sm7N@{&BjtVac?;
zAb=cxQ)Z~5y%y3O;DA$wm06}b(PIi@^;@E`=*W=^*iW^DK7g4qyTA9suttDe!axsX
zP0aW>=sJ5H?#sgWE`)Ri-w-jcglfl*#*>*XZ_o*@M%borFLY~dnSoPmzp!%_;j*Wp
zc?)X@F-g;*31((>WL%8ZAV+}nckuSc3Ze0BJZ(ldUqid(WFnbvODNyV!5x3@aV@sy
zW7sT1+m}Y{K!AVbsZx$txk|Q1y|J_X_(@h)2^i!Wp!3IIgw<T0wqYr|QH645^GQtp
ztmRH}$iuhypStFbo{b2E%|ZCp1S~q-wVZ#8!uqSVi_cN;AR#Sewpe=pstk(5o?^w5
zhJURQWd$)MPTNX{tCpJw{5&xagqUcEzLpmN7id;7#88J=)znCIC_OhH<~QzSSI@YD
zksa0Gi(Zh)Z(y&&<w-+ssYm0Fb;a-5o|)i@sd63Jx@5M>tb*ee$rO+8u97tCeUWv=
z$$<BX&LQTQcE{8Y6VZOmm<Zz%*is8i4yguivXKd4r6-yiA<pBE&?X&2NOPD>sj8|v
zZZAmmy#OoVV(%IIrC>-dEw|l>1_t1q#F$j{Boi+IL`SPP;YKxX*c=RdDxeJ^@L}^y
zDkp0Aly+T(w-YAOXjC`^C_+YJeb;~(84E`xHoY(MGrM*{e6c63B$?=BSwdX)VM2e)
z<w(O=WJYoXtSVo)rA8Y=pgP^4XVfm8dO=gVc8qe(zax}49Vajm6F?AqdvADnI1et8
zRD(eXG`n_%WBQ6Q9N9#3y$zajLQ1g6F--lK9y*qNCa#1%@wM&-VsH)A!{cE29$Y`p
z&8>hIc%m9r%(m1uU#P27AV%epeNmfYv<nM130{TQqCvY3-iWC<?WMBZDrA3dL<_|P
zHANJ&S0TXe-m~Xu(J5lTViAp(7v~5funq2mwZ>08J!{dorGWlfl(A!D7DBTfcZp_o
zCPM@{ho;_pU*G1lXx=J4>7|G}6@5jShvOB<Yu*5VQav1ZfR^I;{1fB<g0E0+Og>~H
zVYN=atHA6d;#%SRB9Wzo1!FLi)({(<=zf96auT8ujX)*5U&f^3E%pifbF<L&!a};A
z7#P@03?n4XcQLF)W2-Kt5d+5%>nFRP%diRx3bvoYTq18KLzu%Tr@3G;b}ni<eDQ%e
z85lMaS$<YQ{+0@V;=fnCJ`XA^Vf-Lk^oR+U1Slh>RS^!F&;LF-_nKL74Q!-XoZYZt
z?EY|g`-q(-Aue8x{1rRWnkz|$>yj9|W{8S|azr~pjfccKEjE*|H#ZBTaA-gW6UZ4k
z!V$@F60MQ6S=%k7-@o2<Vg87|-<Z6N(2HI@{p>=^JHG&{X}`-<p59XkZaEf;HwFRC
zc5VzA9DnhmOU>p4h4y;&*6Y}>W-w~Kjf!$&Fs_e%fs1<!rr|Gy|ICOJP2Rn8=TG^C
z=;-6==IvVWb~R?*>areb;h!39*Cw75p&|o7_MT1Uidw;}wVjP>HOZcFz}y%Pngw!%
zn4;AWn<cO%pdx&t^?0<3`HnW`3+Rm(Cu4MN=fqzA&ZyEZmhlaiW|_I~dyg<OZgFM@
z>P4#>$8#Iw1iHppoi(!`QBh#-Tbo5D;%5_V?L@<IoX5ZT<+HMi%1hACm@y@h=7x+x
zjHD#mo{;v5hB5FaiH82QZr49tQ+=ZO3=}i&*AR|pwJeLUg5`N*qJI*&3ft9>h;z)$
z%rW?wHi3wcyIR`a@tqjS#@Y%Wp77`lcpXhSYisL*s-E>x)YR0>BP)(x#`Vb*&e!L5
zZX>dT-2xVdvE|=1*Qi(-kc>3Sc8ej~{Gcs{20J$sW=gpa48xg@CPk<6no;!6jW}WV
z9$DD2Ws5x69HP|~>n(#w{Gxfd0qy;RrdF`AOOTO<2CZ6gKV+r^Gz9dzjLTOGd_X8`
z>p4|+#5~1PBkn0>#};5F^i_=7R<<(zyF!Wnz$KDofSjv8h4E!?Yo#jNlz+j($XQYi
z#=j{2y!DtX<NDsmo}Oq*$VtHd#GGAHa_L~rThEBRSC!bqPNW(vkahQG>X7+<bo(+9
zD~MV~C3)~Or*4_Avp<i@|H0mSMpcz<TcaCu8A~m*7*SD@5+!4HgQ6lqvWny+Ifv3x
zOGVU8lB|*>OW5R~Qb+~?$;rSb=bU+cqE+Xe+uC{WYhSzH`|;YPoodG_wtKBL*PJ8t
z(MKO~H}A28!_33++!-JAQ%nv~O?s8`ee=hk?=Ts;WwRmp+!o^t-imUMgmb}nv=jPZ
zOr541S`rN#`27XV4wf0zqHTn#UmbM?>{%8n!ks{nL0=e)3(jsi^o66h7MJm0f$KO=
zD(^8d!)Z?Qj))Rs-f132gTEk$dX@?lNar&&;IIxHIz&t)&2g<oNaU+dbUf_u>{{~`
zA~L=H7txSF?B>NlG10OOYs<^a$vy~<On3v`1rKe9ZvbzY1x-&Q#gRdL`g@)Z=+N82
zT2AhVy(bN@2<)G;WP+Uyt5*C{4GZ_si@{ouaxbpy8YSzk$d_KQ>8#RuAG`cWT-{Hj
zp@oG?;(SD<T3TIb4O*a*;AkK%%0Idq78A5RqB#W$3%G(F;JueD%CiCK{Q%Xf(d0oH
z-NUj6<W0h9f!1#}5<0e=qaY=H&ag2%bNcj=gaqxsxd0tFc_mhjB>01F7!gR$&=A_W
zwhBaD@C*oJ1wJWGWSRs=kTf7_cj)g51Hy#c0OEsK?h^b{rq;)966%2e%PK0WO7yl7
zYL8E^TDMLCX)w<FwJ-5oXhd&`#J2cbUN^P^0jnZ%L{wXJn~?Neq<0<-rsrwMvN;hv
z<LlvUiIi2x?(>H~ay%kl?;eAxpQK3*AP2{%*)8l8=aV?sQV2Y%QTEFexKkF5(;<Y`
zf8yED??ayE2mS{6ovKsoM1u)s<JhsdcTZc@Gpw%=hXppoP?Wc_dxb0Wu3a%WA#j3J
zLg|1;CupqUXgZdIQ<Fib+7Po9#N!C%Xl|+oO8nV#bbRP_P*4>_OG#{i&dId4WjBG_
zk?aBC%z{KAX(q<!h%6Rd*9D})@}LzB^=NFpPXI(*QWPTF(Ao{hr(o)ckRqXEOJ2Aj
zizs)M$b#lMl!7eqrX%s<5rcv(<VD2IpuRrpGX}a2JjZ23g~W9ORD?#fcW7tP)8N0p
zZ_a&0Oy$wXc1hFM5uK!gVY-Q#8J7*dnfa-y1JW=cm~@hYBMj#F{ypH=rkOGxk-8hv
zrbFaRRj9dgq$KacWmBAkm21~}nvX79qd7q96!<t~!)@vKt)F|5XPr}UajDf*`s$)3
z%a_~L@D~*qw?Ytl!>5{#jV-JllX<hMXWnt^SGfsJdhBc17U;mDk$Z;#tGAN+51M_t
z=HzuF9M48gn=<J|csQNv6R!Y{<kF>zVwWN=ya*+7jGeW)tG4?h`)2%|eXBfw{@in9
z9C}i3z(Tcc_qQ?!iB+*e+X&iDHH+7Yyd;XlWVINxUgt>Uf&?{k)fP?yIn8k{f4inA
z_5!$j#NrSGp_+301bO*tcD;P$eB(^YkRE^aAC@TunW|Md90f4Rc*aIP<S>v0mxY#T
ze@P<co%)^VzPE@!Y_zs(-MXdIbFHN%WNmPr$--ZLCyv)k#sU!Y1mb8VRA2QJTM)w&
z=>)Vr>ia4-Q5J29J-P7lJ$q&`^gtdU<zv3VDArJ2qUlaF=|L6KoLwYAMKWgvCn9h4
z%fja`8?1eB3W-ZX;w2=72zC_f4^iCjGnkBVV50gq{CEJSK6DriTK(e85qJ70U`DC^
z?Powqq13uFq<CA~0SgJ)jYWar$U=NxjmF>V+beW5Hxo1&=a?w5Aq)P*SH`dg*A{X5
zKB_I?`%OFTRk>ki7JlAla#OGJaC4Kv5f1p}nWRj_f<!TrDuZ6A&&XNhS%2I=g|bN6
zJL<jg^>-BGlm_&Kf=a7;;>6@S9Abg~F@#!$um1rp&I7anp|%Q9?g1)nR|NvN2<WF2
ze7)V;kOdRiY`Ey}!5Rbpc%~W1L5~=fK@{elce)^HAZQXp8_-Wo;IdIw^wtn3iyj;U
z`whLTN3o{YrEm@9B!fXC^nlnTugS^Jc2*IP6NZ|}KYwfK@}=RDIxn(|C=~a-MP51+
zp#PELO0L~F2M<r>H@%<Bu;(_(yoH36#AgQXvJ{{fM!REkqAclgwMxf+k@s477ZQ`2
zT15jYBUYQlj@>;%Jv%qv&qVpHc*r>!^l#Ge9vmsfiAJ!5Ph+XtGnO5n-v7i=ShH0Q
zo6a1sY>}H_NpCZgxvlBs#Y9QcK=1+m{pMbz(_8B1cF#{du(EsS%=GhexH%?(vXGk3
zTDdAc&3PK3oV$;Yt;I`wPo49KMA5#)LPc3h9?mw36RhKfpGBV7Q>Rb=As?f1m`W-s
zB(;ZX7bvYZ4d@8e0Ul%HdFvW1QJnEVs3*glp+6uggN}xgr%p4ckQx*DPQF|D&qT`R
zO{1I0AP*1%HLs8<IOGQ)kM=;@)?+vS0O~usfR`ME>%$I5YgkTU#NXBV71uPm?+Tp5
zCP+kpNBW;ha)tQ+aB@R5z`>3-Ut@V|Yiq@|KXPF_bo7PA%{!4kgYR_}?L{$pw|`uc
za+%Y;Zo`_N|Kc2f=H1^AFTW<163uzfP!brNGtL;ifA8<2n#31iY^0x%1ezJ*{~V=>
zk62o?4x#$NIbicNF9_bU6UkL`9<-_$=0ee&KY~H*dmp$qMEnkVR)9W8n>mT-@t%1A
zzg&3#-qTAX6{*q!NyDZ4AOHr0n1quN389c|Dd%8B1wZH;_YN=6H-LT}NmSwk7vmt|
zV*H?!WJ;u;)eZ|NKjXAz{X1|h<O&|t1Q$Qr<l)HNbvPE`?{Dj0)+_@ZPmgITlhHP4
z4PwZng71T@z}RuzYY-p~i$H$qGLd$!fE6KAUTk*@TqJl8X>o%PV&u!0w5BXpVPWOJ
zRnsArcoOI$8Nxx_8vaiT0Q+TRQc|O{9$QG^3{O6aXdn_iy`@Rr5V?a6NCY^PM0lf_
z;AyYXFxH8LGk0z}?WNc(<80(|fo0hTBFJ6g(TQy#u>~fEd`5_(x%Gaw<j_M*8qw0a
zer_M!fAh8~1j8Xpri%}3!CE*}B9RG_)mIK`1>Bc8|4Qo8x+rm*Rnv(}CCT`bIwted
zC8*Adh^SOlnH~BRdru%jBI~SOj0)@~Q_1(i33Fz%;dIr|_=JSTee)Xyjd^WEcBvj-
zo}DLHbFwxM#&Z<(Loy4bM#RhC9~g?o#oNYP@2f%Ym5}h2l8yZP5M|$diugm3ZrC6X
zoTO~n8YFYF)iH=eiiRd3GKyqN`uxzrc5S)eyox-Gh1JKoqyy(ngR1WCxT_vkjG{6L
zPEY_rQ+|-x%)lx1H#Y<x*c2`@a|PAO@u%m!isU%wf-Lt#pQqVbfQQFz%Wd&r)~p#_
zmI2}?_r=PxO^SK>rPWVnJ$*9&V>$2Y0pHzA)hD)RZR6ZhbDtXwcMgR;v&~)Y&NaLx
z?`$s~p)kc}rZgFmCVqHWS>SGu>BfkeWYaATN%JNYL#*Po2H`gV;*o|a66=r<4I)ph
zSZ1X7TR2rd&CO2J(e1RMZ0$1V#+f<EiZ@sG_m811nUVd&B}%-j#e+ipG8z@B-=-@+
z+`mDpxx{^fNBoFx3`7Pf7XfBfp(p`RQ~?C1TU+mw?T-A}qPJcSXZLKtg(V><EN=D=
z-S$api~EEA^||fi&I03U=>*T+&GsWb`u!%#IkaHFg6j^{X9K{d1*0|mH~nnVYEDB%
zDeq>iSO1_j3RJ5y*U#Qrx(a_HO;-8=X6a2N6!{EJsT_z(IIe&iyaTMi{eqYx_?_4~
z2#BCNE*$>=_EUh5AB7TzK89p0?Sq))i6^^6mC$giU~Qd3W(|l!SQ(LW;L64@;MR!#
zNL35h|0$uw3S<U@Gg8~Kq!C+s0*S^fBbIPL2hHE1t49acDbkCrMkfA1iDHrdfM(;j
zBL#7+;dip~8uP}$geP6&$QB|I-dl85oFP4i&mFe3i{y(oL)wBD`5aM5fXPIPpVVr{
zQEGxf=@lSQfE)q+hm1)X2r2$yU`V8gD68e1qTi01$1RJSktg+A?r|7F)f_()=l&gt
zJo#|y&qt4BfN+c=-64p)Sib_4Y^fD6E|TUNS+A?FS)?~X2)pJME4B%mVyn^f31N_f
zq~7JlrCyB>j-Z-#gr9%R=Xx>f`;93k3xhX+hLL_6Y;=M=s5#AA5N%%~ycXbqxb2T$
zHWKD}Nuanoj-LW*d_>j-?Mw^V69g->=<QMW(&1AeWGw*+7kS(|f@Lxnf}B}M>R0gP
zefMgyE3M&rdg4l6%<=D2uX*!c2R~BMwuYf2N;(9RLz+qOQgoF2k`h;mpCC_*n3U<R
zR+nV^NmCfHOQbOw=sF54a$R;SJX%wL{HTzq24EEKIYU1y8%mwsKtnNpBLKmyRmu2`
z(NvSnNzpGvj4X4Z>hjONy$&Bq3r_D#i<F%mLFIuqf)2Rpj7tlY5RC4s22i%r|Ds+9
z>E?uV1ynDh2-bwe6^4u`e4}F=eS;tPq~tO{jYbz)3|_S-r)mT+LGlqzP15diNp$ox
zU-uHcdj()(SMV*^{2{=@^5HeWi$|0#3%?*_)fa`>ebcpWfZ0{)R>pWT$z8BbczJjv
zNPDB98f|Fv=V=Hj_gC@~M?tMXsqPkRSobBTsjG3W&ttz&6+Y6qLB|l6%VdTMkrq|G
z>jYf^8Y1w6o#5}(^jxJ4@5#$qCmscKjuj#oxC*dTgcTuEyCh9j*5rJ`;%(ZtEgXmE
z$l=2U(~U$(3jIH%u8RQ=*RwQ~9E?<q5&7+U8kQdmEgHZMXYumMuFIH)Rj&9Ma!Cjd
zW5-I;fGkQ@k*QJ#sAMoq+4Sji=k%elL<@#=E-BOkeW*sW?g*?A>D~&72;U>P`+zzy
zPcj?p*|T4N@Ok)jD^8=~NFL?l%wDMJgAQ?;DuaW(Y|Zvyz-{;xK1*scK*>JGI*zjS
zive}2AmABzLA}seCVm(x-0GamNWn?z7k5B*9>IWDMe)Ip6W|2J3AjjjzELzp>%G6T
zlokvmzFjwPBd6zBsCh1P@=<x_Rgon5s3zDwRt#hjV0F4sxlNm&n?69ro++-(Vrf5N
z1jAl~p$?Zwr)jQQw~%;<U<?GWhoo6%A#WKA*?1zYLBx+=zkUtjjfh41i9?M8%Yj89
zuN2(rdNLd6i7X(FHM_+cr%mqR46;I!?Vm+<BO>(?80i!~H8~pV#1U@I6wC5t8_!v!
zO{8AU(h1fANw%TC_XZ^x!U!N5B;k6~A%4C_o05!-i~tz{`9{<kgyYj!DTZ(J$opOn
z<>>H%fdTslOw$pi1p`CgR7-mPhS%snSiNl@l^oa@mDF!nFXrB0q>wcMGH|#h&#c;g
z4li?9L=C$w83sdfLr)uPuSsuXY68U1V<F21Vpy%PuQhO!M~@yIxvk>l?<PMuy<rW2
zfvN2IX>p=%`nmtFAA#l!M7}&&;GgKSv&bYb(j-R)dr)ZUsJtXD2TT?S_Xvub5y*FF
zM0P3?75{o1k?^h}4g|yqa8TTEfy!$*s;8G)oaP;V@20dbDHgop&1I_fi}>j0t2RcK
zp3`iHbjVbS-)CFdH3p@?03$w$r4w9?fmBX)MS@>{&_hepq*wrt-8A-%%`UD2n`g>+
z3aLc(6H&)wh|;bj;5fWTxhc>FNVi23lyUC4cE_4k9C<Hql>)?c-<GSE$9ED21GY~4
zZ0(PyblzlY)S*_Nu~&Nm6&_!Y@&H20NMts|`2fEOga6lu40ReFgVX?}4rUPNNoq(q
zHw3*Un%J}$$BL={h#E5~ly305cbI(#XdCPUsbFl7I@<+Ihae#6y{esS&t*N`!dsL?
zHm`J8!s+Qve?9uXedo?7h?8A~q3|%b@c;69qT4U=5rT4cbj(Di{~$aJDE<piuDVn@
zckiBfE;)H5M#rkb%K4!pM4*7caV~atq6|eWCMX+SI7aelf+tf7z;)<^gt9Cm6(V;X
zeQHYZ%kY^}_D^`Jolxi>waHe;G#MH|rC|roLth?)sbDf+qe1RI+oM$^zod|{jYZ#8
zAC`f{ll|GtS8siZXlK*Z*+<!>)X297fA9cTunOuwBy}m-*`LsI3ukzvKvd!E^U1~=
zik6m^S<}0KSLV;<eE9JB^_f*9<{+p9d@#c@eY7W`%(kHs5=gXQSg<J-E8t`-)b5(t
zaht%I-x8&7liXF%#n&h;Tvo$<l$;MIwgQ{Wo|1Mdn2rz(=@e>O+RSNSQiR-yid)vF
z*%=FIrF;L>>Ha~VBOL#QIoH#MY6)RMSX=Z;r{23A3(aMtXJ8TOw+d)CpVj~wppw$t
zcpO+S<FsI?f^?u9E;j0BmJ>m!DDX15G5hmSwjG+Cm|ft=AkDapNHF7RdvO$d@442;
z!bUfugf`E~(}rKNd$gq>GKF|=2TErI<t3;eqsS}Llu-y1O|vrWo4ICVG_m-fvKv4|
zkJbi*nh&i#>VD2v!04tLTINFWpGlfxqxFp_NRxaW@Ww$ZncD|-{#=o1gnhC!UUZKm
zB#=r=+trC355i^oA}@dIzSMTK`kTUP&JVkG4q6kDeu&DQpAsx~i@6_KCNk_294YXJ
zGW30|_@P5rP2w^{eImP?p1QiCGb({a)&D>yj;2WWMs4_TtO<D-SdWz=XUU5N(IC@-
zNKHZ~Zaep_KUq5Az)CB{w3m%S(NdD$a~5T{3%ahkK*+i?Z`6*e1PX{B5L{;;2N5RV
zvG9=zwWIDMDOu>7B*JiL;);b}feMYx9snPST2VDHf$V3}RhecM6x^brxaVgF22%)<
zUs^C3p(Hz-0UtsOM!RB8y94@XiS|e&;)4h<P2dX<t;2!Az!0Vu3cqM)mPEka#y3p}
zKX}=nv1o*&vF$$QFTFy9#D;_zL?E54?@-m2T_-Z&48qcP=E|?PNhy%vqJVBkAhOG-
z(?bi^PlgLqaPkT_uVrOTH`Vz>GLHsDLx9*7{F437c|+6B`Ax0TVNjyN1i`vOBz
z>e5UF7J`oPGMKNa`lD`22D7qsB0`r3);5$_mfBK@nlqC8O*?n8BkD$0^xN#>!?`JE
z4tK_Zoy6%C`C0$8atN%@l}010huL|woi*4d(kNfZ!OS3+%Mt1BO+qag9N%(u_htUx
z%jMD9$XYV4!&hV+&#&|8<)WI0hoATzF8^U)?}fwQz>-EGL_Q)ant58_T$=UZYl1-|
z5nw3tB(sv>8Ds-GSbD^g)<eq$klBHpqhxd(nZ*RT?8}H9hci2`;)x-^zzgEqLb?ya
z65*+>*~Wc3=<JgU1Y5%kSU6cC)JviXtPXMtz*sU61%e4tcuSCUZmT=Q%6cAwXT>Ri
z??6L3;dKX_N1|bBw<8q-rukfZcg|5#AAoR<4EZF6yDqpnG|o<8Qb{CUVke;4!I%)A
zK%_EI<5nZGZG?(|{Xud%tkD%f?=iZ&G3OJ}96}taK!-8!(m-)8a2P6i9VVZ<TQ|OT
zAGy|Ayn#4h_<^`Qx)QbYZoF*c_b$`aA$Gp!X5Uj9QH&r{G<C57VV_(01a2oxHKsJL
zPDsgKa|WY<HEAl!Dq0Ug(>n}+uSL^69C1wlxzpHDtNgND<H@uz#7Z!Ir4>&GTrb=F
z2B`hZm&pEmSpB~HHXQMH;_L%l`~xS_U7R(?b{|d{_MhX-;RboRnO=tDFl>KeWz8iC
z^`J}kK`+~Pk6UeGDvFZ3)Yhu-$UxhE?77RPRWYZ|Fx=|0e2Y(L%&Oieil_%WyVyhj
z1)6)D?Em1n|JcRhF53{r7Pg5z5T)}D)$s+o-C<+n=B}X4iA{W2OcYy5X_6@J-R#eX
z@gZ%&WE@y;rtU_`Fs$_y;v9>wAC_XEWdShv5|?c}m}hv4Ai23d%xk-s77FT4u5L!q
zM*7)#c&;ML92DDy(llt}h*+_mL2@seR)O=#IPqhgp@c4(rV2$fALuGX5jD#DHzqPb
zh+MF>%l2On!D&**iAl^YzFd13UKquA4{z^q+@^9x)xDAy2(cQcu&Fw{5<&MfiF5JF
z&mihX8vVx)F7CSxz``Nj98ZF0L>QgmijLZ}V2TP!#vmU`FNrd&J*A};N<b^rk2ZH-
zT>kQ?XSO72CnTc5T(qY|GXXK(Rd8CQ0^F*Pt|lUPI38)3%tQz02}z*m)0aO$^rD%c
zSUsO*RDV$rsujSX4`b*c;8)FS%!NUyqkD&j3-_<~V>EtoLVf{loiWamx6t<LulJaQ
z`aTI_Svp~)8_)khAg^IqKnI)|DQuTbZ@vGDFwL>eZ;o+Nl;6&H=mB7A?#0-|eGT)N
z_Bd)pMn?S&?K<yxhcX6|DMJSywk4htf`>TPSwpw8t%=iM%n1EtUz?ht>h|wUy*0o5
zGH8UlSX}-XQi~xYVSnk!qMvL)XJ<{DcMS_rJb4kfreVzY{5w~WnNQE%YMP7^!hp+_
z26g~4zzh34-H#Bn_Gd(o@*`pVk;w$$>Upw|^+u3E@(QBtN;<Sj{SI2&8xcfbgMt`_
zebHD5Zipa<{(qw_o@rScja=sw?j{n~(}PG1Ef{(}I&g1G`zle9bAT!{_v)N~zp|u)
zv1bxwBT01u39Ne-Dzx?ubfYFE<W*?fZ(3os@WgMG&acsI;jIIt{&78{e<kIeXCccM
zkC@Wd*`|KSFoJ86^b1)kQSz0ffn`Dn!T@PKtH``|w2<AF+)JNPT}pYm+C%Z3uQKin
zofP}QVCk@3y#S_5q~;ycWO`|z!ud0_NXY{0Tx8eb21dV({l*RZwt2R!+C^E^Z1IaV
zn&V#+K?+8i?G;E8&5dqdI8M%{B{OsLho`;cU_}nS=i>CZ!cdswTud<tD_*2l$xF8#
z)x#oQT&PT@?!*>~K=8yuCDX$1-1V0I8%57zb>rm&zk{%!wF4dGZ#AHP)(zYM%FdYV
z2l^G~W7-c-L)r7iz2F-^oW;QXbk#KTa>Q|)esiBEpzg4dF$!tyh5u}tTQ={2NvWaP
zT%HD;>CnOuZOqCbfq3r@h)p&f{HIH^1sj9l0ROp8gJ$yuMk_}1S_wnIC*5%C*{oi(
z7TI3JU4L)=A61QU?2BQe2lwx9)^9-?`Z)6MTY86myn~s!x5+ZSNqn8`JDD|vDbb5i
z?Y|IA@mO}r4vMCG$6Z=r;jaBV{S?*Z{xL)!j}7LLS>~jRqHgtH4hyJe#1+th<A#9`
z8o8K}aQYPT0HRR3!0^U3wf>z=yMNz4GPsUffz-VUUYW>!0~TsH2u%{8;3WwxIS8;G
zJ6z@e`7T(?KodR?4s^0PWD8-_1NmtE#abAev{2(NneP8Dbrsey(9Q_(;La_P@HZC#
z$(Q<YBZR*Zu?*Xzp$4&-Eg>^NY?i%}ceuBP_aYf+uU9uTpJ3H~L&n1@>s|I4fs0ai
zU%x)~`tEw(J^Nm#wC+9OpOX9Vq0e8bR2PAuau%P9Pp+^C9gHzKk$2$x=s}-jA1%IZ
z)!;2pdCb~pD<`|JZ<Wan!<W8&X-*U7%Y%PkmKHA76j(MqGAvQ0=x9+IJ{&Mrt=zxO
zzpbrJF2>kG@0!~fB;2u*tz=$iGy{5F{Cs?T7#CqB^d{c5(nJ65rcQTf0qR<m*)pcO
zA_Y5M-t`nLVOqZPSvH2AO;#soRViwcl@tBUSEJ&F!`qfIT&moaid71Ui!*tcegFRb
zjG;odRLshXN1<FBg&66pS1V<PJtaf@oaQENzCAo-3OWC1Q-{c_IX<6d8oKmsGF7iA
z#H^7Iu3Xg2QU@et7})?n(63?yfo7=LLt4780K5OHx_Tf<TI#^t5KbUz<;&%IdU}Od
z&M|v%B-QQ%8AGkjJbSXlSccOJL1JZNqaTW7?I0Rh&|1MkF2azq>Nb1is%HFkx7=n1
z9*C<%t7Sx9T`W=Y3sXOTgMk|;q}<8|ac8<UurzfB2_@WU*>Kq*z!^BxdMKe<N#9~5
zf*b`J3-N21b^07IgJ_71u6HGe<JAe7aCby*?axlFEx>e?7c7F^Q3>^av9d=PNNLJI
zP4giar|YR!ZLfC6A9)z2f~YIzu_-P8l(cr8H88N;jEQfLA>OZaj*IA(yi~>5p=T`6
z%y5v`o#S#Gd`zVQG~q~iU{u6QCLb#3GBaPvnV)u==Q_93<TQVa{cse$TB#0hVK^ah
zmK}^|N8d^TK0XHCehG49f8-xr78VwDTE2!uZh<o_7)Gk%JIt=Xx_OL~v@=Lwym%4g
zB55q!kZf)EzIMLzl9Qf)Qe50Iq&9Y0*b3T39LX0{RaFtG`kh)U$O0s^)ik*VxF-@#
zHzer{kj9JGIS$-iy-Vacxfb|PLm+6{gxko6@^?f;2;2US8kh~n+10V^UMrN9VO)TR
zr3lrdUg3div=H!D{VCWG-EKv@UOE`cFGNN@owC7(il3Y6wyIAPi%{Wghh&!tNHQsZ
zeMg3O0ps$#{m>Il#*U$|Q8}f8+p(<E^n!es?n4`>jCG2j79fbelwmA{W+qnR+ho$m
zFRFE#9AZw`s2jeo<Z|4fs^Kbl5K3ELHx${UHg5(g>vp7BW!tp<p2J&Zl^9lVyY?Z~
zoZbl@pj6a%#DJv;i~Px6fE<c?*C;&<PbrkKydMRtnyG$lL#vT*WaD^t<H{FlJ;d*3
zxRB}yl|}~oJ>2`7m>xF!C0e7?{A^@Kj9mEF539I}f!!oj$t!Cj^}^&^M;~8bh{;8%
z*mj2K>geP{T%3l!k)%>HfRx(ke5uomj2;5`5c=xXUQG4`)A|Hi<DF*3$9ntTBy$(l
z-*~``<Ds0>MtB+)#a~TR{h)L|99=Z~*CDaz`mve(U|L#k-?2kkz4D1b^NX~!G?(4t
zVgRo`nCc7T9hgmgeE^%$Of@qzgRE`f{8a3`B+c*khhMw}&9u4`*{<#|mt)>FfS!_9
z(eu?$nDNxtD#^dG5ZOg}+vcgMDHRNu5M;PtrQHf|4%p3S+M3T&fN2UT72Qfz+d+Z$
z4RRGa0^rAS7bd^<z{-S2M_&w=EyN!7&si(XK0g^a?@hi319YN?Nzs=I-PBYT0DPB#
znOr^MQ30r)%xY`*Gn1~y3R_mC94XTKCERPvi`^EVuLvSoAC7zKz+P2V6&>68SbgRu
z*qhZX1tDH)X^r(+Q&q8TUfDC6{EfGB+$BRkS68<I@GY&$8l$r)M%0+t>EDfs$az|i
zjh-<o{qzB|<ux^j(JEIpQkH(lO>zM$4Wy&k+x6tREYKnr5%IaIim{_*;w-F|DMB@E
za`O6S0w?}DM2k{;mmbg8h}d4&$fy)CbaJt8ty8BIFmj@A7yXpp$kL0^YDx?xVGYGz
z`gd31gH&IQPR_nRHcIOZ59a3a-tP;}S=^l5Y|DnUz)Je~*FQej)Mx{C7VJy;&J8wU
z1{{D5O6{K0Bz}4;q-6B5s`;3S^2ZmdGiS9>8W`A+bD6UUL9`nSK<B@X$foJ>C5{9T
zewA0s-r8?Y983m94m4V;^WwGVvCPAn{SI6>o(gl*+4I7v!_;#de@PNyPK|m>xGck9
z1RqDjD+#WOlKNE`4B9P#3q}4;-=7E=4G((m${igYja1!legOLgWd7rT8VZ2}G*8tk
zYWsWmTh<?*AGtK|j(upI3hg5bB~k;BJC%ld4i>g$rcEIFdo-s~A}cBgMc`iyfmD42
zu%nlPwOh2O1;QF_k8ahv?SwwfLN=`a(V6mW&mH$T9CO|hI|#0AnLyUylScUG$wGxJ
zn$uL6lOA(}CG1CUOzM6wdP?AIkM_1>H&2&}jyH+`4fYl=ZZ=iFs*LwpZ=aF*ebuS*
zt=EV*>X6sd*LSn8WwSi9dAAuoBH{>0j0J)7Gwt@6cTu)`Zs5VDX7x9k%%J(HGi()-
z?t2Ej0U@esgTNB~?tTmgRlL~@syO2jTTDK{v|%)wwxc#z3c`kIo42+WR;?5jm(P7^
z!lsJUA()3&P^_g54Grhoo#qa~Nb2-ffpt{*>C;=8qPqdF(}K3tR!b~UE%XcDTnQTb
zbZQ*~OxmJlI}F}d49CJxq{7iBK=ZK8w`E3)ER(E4GV`kpIBzNqM%$9Er{=vqsl{=c
zr2t#qFV>#H7MVCxUte#4>6LX@HM76gpKHZHp+aQ7vwk4-r((eMk@zSWIAN-3vrRi)
zkT(~NSJ^TaCoYwLW$Irm-1DjYF<CI3<Vy}+S8XsO2QfqJEl9*hCc2=gs|m@{63`-_
z!(j@wOnelm_v-`LCQa)}tdx#a>XWSbWLimQi%Hpc$lqM%{_1V<_1*QjS(<(A<D>*n
zzU%LtSqcEelJjj4K1s~Ut-4eCes+DSk*W>xQE&J=3Rf=xKjv%z(lltT*mG(OO`P)?
z5GgOvX1**Jzt(np9Y=SEi?fv?-|DSL_n>=Ei?+^=O&!Ks%7rNdWB)|JYZn|Y<{{dY
ziDHiRx?v2f>}gfhN=MnTCkq~YpMb1Yq#&%58w=>5=hF3*Jv8YfrgO0{n*7PyMUKK_
zwHm_^txs%z+e=;yI*9_oO-@&(M<d@^rdp@BGz0!K+KStt2!ifP^W+dz|A9q1K*d0c
zk5x*gVPd1<21s6s^(EznB*794+<C?_39YS6rEaCV?T&EstuHiO3(!?ML@rHSDomuz
z5s!F;G@6moNrfncA--x6DnplZ;N7)CtbnF<F>uZwAq{pq@#DY-B~az{ApuKogua~T
zXf|fSO4IyI3lD?bOvQb|uqowj-6d>kfT-Pz<hTgRq~+w~Btv9SVtS!I^KDBi;u{4k
zGtSCKdUs<C=!=?j`%7y*k%JPg?A|o}19(D-b6a_JE~6vI6U9kQkkljTQJ%XJ#iz=j
zdZrcB06`o^i_|SRJ@t?{M}@HaxJ$EA!9(y;CtXFyYF%~;a^tF<E!j>u$Zjx}oItq>
z#OH^_lR4Yb`&>dcv(t34Q_&%@!H2SPa+)A^)nRIbS?(qUsMH5gVXe~jlsq&I=~ePJ
z(9|Bf$7R142gS(8$ETvU_JwI`<CG5!tE&oPHew%8KJy@_mmDP0*kX@&(f4ObT_|~v
zis2dC&*>qs(oboqz9~OqzaGQK4k5^mGT-JOk(9&_^hJsWO;Rr4P_ehqh+ZW&vwubi
z%CX|>!=C|PPi)Trf-Ta`-yY9$c((7G`@tr)PVThmp=?KChN_rCC%4cAyn^nOTliX)
zZ-<<t1e?;HI5KiargGyvVqP~KSy#`__@zDec3OpllXPd7RJ8=IGkG=e;^dB&So3Yn
zL_dK_3k?mmN9w;RCUh8yf^BD2<ktPno<)pee_;WJLa1hW*<+JNxj=_AlHG>S5bav!
z50RbNlRZC|3I}6`wX)3T7VjcQVXaWdOHu`?gGUn9WTvpmxOfu2;`IY00NMuWc0{+I
z4m0x=GE9lX!pyrjqoLXqj~~!?nm@LlAJoK2JiH5ItJbQ|k-`M(d2N^&z;&U_=%t<M
zGE%Zh3qesglB5R1v;9^*M>ip|Chb}zcw)d^b$rrX92M0ixu6d5X&b(GC^>sJI>$@-
zh{q7nZHoz0Ci#22egI%g5B$igS>LSP@%rnVAXg>5%Yz?3eq@NXc%s^w93;6=CF-aa
zV*f(scPVsFZvH`-bRIkQgBU7tB3gc3GfZMXv)m8rADb@rx<$2OSWp-4m#l$B?N)L<
zi5i)yS|IxqE|Om5VzU<e7GK-6@NFG2dNq=<UmN7pR#JqXFBE>#ys^^}l1X|oz1zO9
zNX|xY0O@*gGCA|TtJ_7s_~pwb|K%}Qe*h#BCw{SB$m3T^{-EYvzWnp9?`-(ddjFgI
zkMh$0&R0alm@_elsBmf{LASxA?qN_X+Ch##@8IBY_USHvH))~p3dX|q%~Omv4v2x;
zL_$DM+YC%)Tl9kvXr6`N$m2MI1zD#X=Fe?EF^~cIIl=EPJV#U)FdK=mPJX6-cpk6b
zq=uN$c@nNJ{ee$(*c-(!^ojrL!MgZQ@tOxCFVz&QK|UxGp13Shaae3>Ds8&EH=^f3
z%#Fd`=BBX|R(7JQ2rwnn%K0s&ySAr|I(A6MhCJ3Q8?1<S4d;B5PG7T|F~Q_q`0GH@
z4RB->6LqfmmiZ&4sKbt^xqZgts)B;o!ka1o9-UAs<iYtn3t}y`5UGyK!&4&#A0)Sw
zKS8h=Qa07Ckme$d?#MtSxM3BVBi2pPPt<tL&T1*7{b>}HmL}Al_}wq@Z4BpdwS=gs
z97vxsH5VK1W6wslTvTuPh9rPZbrFUA%)9ja?rwgg6L&p0gOr6W8~iJzVzIz0jlPOH
zmA($YB%kJD6xmj37d-xFue``!%5Q%-C$9mjd=Yt(Zy9ce1Cug`+}#>yh7zlyTo{w(
z)eT`0JC<gE)+rgQwtKBx)926bpbve0WE+ahR|oEhDYVOGt6Usn#wQ?P6{!&_dn5#b
z4izbdSDkc4>Sp5|xV!YK>DpsesW{Z>rPQX*7hR9)8~AxermeU4PgQPz^G3UC^wO!T
zQ?2}w{Kj0#aZE3}*AFCpMGT<QhMc09OrKP+^?sdNDu918+B7iMUBgAE)2Sra2?bmK
z!=}*-0MO1`j6Mh}M7n7a`7-nKr)PaA{n>VPcVAVzH}*O*A_k%%Op9su$K_{1#XX{O
zrA$^?*%yTD15}c?03%XJdA*ib+ckaO@-?iUrD~36S2ul){~IJvs~Qq^Czku`S=4v*
z@!#4)X}a63Lk^eoe?BTzhDPy82n+1d+GjZHRK)DO8&03t#ptJ?gq2SgYl|g(>|TJp
zJ9L2DT@=d@9(c5i%d1E~V&}q_OIH~#YDREHLVgdxkodX&<k+%>wzvPYr}w|X0Q}Ea
z{LAe8&szMqtVNXv=Sv*~l^8plP%-Qw{A#o3=WM5WSr18Ayc}7D`R~1TAmH<2MBZDU
zfJm6A(H2Bfk=G9}8{g<}R+R1BmllWfBs<=(PU53jwfPC@6j<2V^m2VRT5cH?900}F
z(X45qSq=#=E6$i}AZ%2OWbSV`L#HdIEbHnFCqb}SZ|%DJj?${8dL2rKSm4U)XK*Bc
zJ!l-;FkqR5tHMTkZnooq*;M*AFZ=P^dr7M=FS=Cl?_KhF#plXk1nHX!zSZoBG!?A~
z5eyYlwQEi;Y3fbsx{1g*ee5oOnwf4MrNd}R2AeLLq!d$bGp6}gSPQqn6sF6)Ylv0P
z1_W`CN^%(lA}bX>^Q_r=^d<d4Bd7~9oK}HWX5p{)HnlTXjw0y~6EV{YDe5>13%~8?
zbqQK93>qwHIEgEfEq2HL^6v&PE=TAJT!L28cR$&P*cyKG*KnBZ24#+)&RRuO=?2vR
zm0KILj3OWS|7ryPj-38K2|51fl>N7yvj4^)@c+MWB!W#<;+!vXY@?K~_eIcmPbT7U
zqk{{hg?0gBR+S+M=MZt(6rl^rE3MJ{<^!}?3@~i;Q&GSKK&Q1$A#K*~!c%%4LEVvS
zd&!3-@;VWt;+!7>bbJXIRn`oHs~!3aMFcS-Nbf=&0t}%Ge#he~G#642^B0Jdn-L}G
zq5z^THtf9<IonT+^z05pcXZ?O;C{SCY)k>2U+I)th`WVOC$F%Et_jK4SPBrEr+gkp
zeZQn#Y&?~v0NHQyS^Xd3347DNFW~NKL4n}~3u+}7>;1IC{4FJE1cld+T9E2-F8$20
zs2OxaE-Lr!FYk~<(*;X_$Pcm<0HsR&*!3exx<HKhehlgmE)YN2m_&*bR2u9HFCQNV
z&kAW8=(Ayf4@%nSM%Cx}(AlKYxxI)@bUB+oq-><+!eti{+fni60Nm=u)E?G|KXS`9
z0Yi&ju<{o#Zf8?HEg+B3u30};m3&w?Zdf1aWP+uDt>KyY3BhpW*C?0AT<2qs3`bPG
z@Oe2okE~wn7XIpLt*_hPgoQ-_!3ebMS#D_F-eqLSOEG`!oE$fpQ-l{a#ct-4EB-4Y
zUM_(znZN+z!PDdqY`}uSY9>_hdAhmmnuzlVcskaN`iEK*>lalOt0{{5t;nI~{z4yt
zI`(bH(ke8~l`{nz-!w4uaKJBA8LBHk$C`1B+lK1+OvSpLDW&>{*5oat_dBG&KdYOx
zTj*l{MSlGnVuWL0gnfN|g;Taut~ub<7<P8na<4U3-rWDZA+pA2xA$xJ);ncAaUW||
zy=A9QJM!TldW9y1g&MJJjr6=z_FIx>@M(zo`y305G2bQ{z>ja*hHp~U_P3z1Acq>`
z4)YeD&)GdIr=Sq~Hn~VnL6u(I-qqDLgznI&lO9CQB@ldg0ji9;dUoR%zfvSTHT4PC
zF|(|wM^3t3380d4*|w(H%odMmly9hFGx0H+*LGD$;Y+G-NN(T0of~X?;<|K$(w7;U
z*Svhvx7}80N7GQ<MoJpZX#GG;_S_VeMv~^Do$BMH#y~Rwd5uk_c_<W6u5|MJQTjxg
zYawHZJ8yre8AsM`BpbaCRw~-}d~a*h(%5Uo)V#_gZenXj{r$r7vsP>BJ7P}kXd1QV
zqDW{)O~$PhdXJ1i$?i%9nhOl2d4P$t6kx)9#y@)%E5hL+S%(R^ZY-FxJ1bLG7AP+6
zG*uZ$V+ou~JeEsNtaINhW$0AI0~HNHX^&KY&@k$cJ<U=8Si=|H+_xZofG(R0{Pj9P
zD-{-+@;)6)%iWq$@ZfF}1~P_wW3W&R&_NXx4WvZGtp~oKz$hMm*@9ev!W`Rx3vi<>
zqT)EoNd0<$2R9}?66)VJA#<HEP_FIA5&{i}+w>Pcex@oKwNpjlj%Kwt9x&eKtc^53
zyzm?Uhz1vow!qJ)$`$_ylmGulyDw`IvWnG*;DJd=NjNkSz>WlJRLm~YT7k0`$E5cu
z)!ngu!xo#tO%O@i0<!sR?<tbtnRkVUwV_&Yo;H)`G;<E2n<`S*0F=OYTGrm6((tR}
zq-e^9&l39QP9$hl8aA3Bsvo!Sv2}TaNE)DmolH$E_eiwfF-uAqq*6(KhyPTA`uX?z
z4z<jY=Zi?z8WS85vArSp`rllD2%Km+WcQ>EtsP+QB^r5A7I7+jQ5{k0cD#nZpV`ZM
z%f#pHp^A|U?G+39>}4hZgVFu>kjd69-xPoQ>xb&ux9G%dShp$OdPgR(c>L)#4hxhT
zeNg;8P<~cHGF(>Afs2ek5~Db;930(G-tqrJibz)XWp|xv5yvn+)**VdMfM{OfZsw^
z%wK!`?n;G9vtA(3laP4`U<pTTdz(-6DlR5^XwA;!Z$DIxsF1Q;w_`0TjYm{2mWANH
zHX8@|dmTZEdTe3;pWdN*7@=>)*~JoDE+4^6b;&IY?&n=0&)?wKe*~fkiWFr7GEp%B
zvGG=p5=jRFI|J6;pH6BEO}}I4<o^T8q<fDpg8qLSjOG}|NnxP=mM_#D<%VH%T6hbE
zC{rt>^nq1%oYb>X=DkO7*BwSFH%OfW#Z$4#i9GSFidbzqixEpze?v1gWocsgRgvl(
zkYVpjz|+}O6`os+h{gL0mv#9mbR3Vga}6CPu&E&YBjFw(V4nf4EZUsfq^6M8)=?_d
zH6xB;O^sN28&ptv@MnX!@0V=@R*o9LQv*a5{u3)F-T;Uobp>xs%p@o>u~gweGO)q9
zjT%$%{G4!>x@Ky<zfuw}g`?WTrn*GG6!Zu)kW#}^Q*FZA$!hVG9^X%Ln{Z9ShW&xF
z*`s7r1a-lT;z=kc_ygtFNi8C?d3hXXCirubkyz}65C*{3dhYi5QmZUCLRC!d?pVQ`
zsj6VrK*pvCqMqt0JWtAVU^vp#Ltl5hXtY@NiA36}z4{*2XY*$%9^dT4FNYRTbQ&f>
zabZ56+`Y)I=ClgFb5_Y|?enNP6Cy|Iw?}Lsn2;CUr8lcm?GCL&E|gblxC3J&Ba57H
zhS@h|=s%#moK>kC*+Y;alqm?UgUe~Mh*WS<z6(TgSXdBceV!i?(lJti4`=)b3{n2L
zI;zN^1tv5YrEBIt+e`8zg51M+lZl$-@kptZjAfgIN=4S^88nGnfY(YY6m6)r<`b5K
zs;WO>mY_GflwPCeODfN(S*a3h?_qn9Er=(nyUWOTGXbE7Q_CD;_N!^VvZ#)0`C!>+
zy|7T`pKbnhg_jv;U`G|8?B=z@I3uotF|tCH;S+S|TGQ}6nqUKokwX$US^m_~o!PQ>
zFF-H?JQC%SM*QP{P1LaN`rS1{{{8lcP-rbgUGEucqll*tV~nXSXIjT=(t;+40`4&S
zj)g*G!Y#ze&IvqbZTAc%p2M&_1ebEdAvun3KMd!m6ZC|X8v*zo!Mu@DuvX>uQpw}F
zqFC00z;v=UPmC-_l71FpyPyVAgkQbD4U5D2;VS@ZUi#?D>`Rols5AsjoVbisi4$le
zEL2yqsSXfp_&d@4gygpxTge_Q=`wHwP{7+5%wzG<Qnksj^0fk&@nG<<>+I$vvpnUh
z;g!r`L8Yh6qksVt@V^XhHvl#v2#dD$$D;WU&lC4c7L7Voq&~+DQe%;lezXTLbF9ij
zDID*3v{^NW6eh??2gT(w!52^r!#geEZ(v81t3);gUXB2|T|aIZ)+HM-c*7=n@Q;Wu
z$_6(;$U>B1no9R7`zMGt?ET#u@6$q$qn8d~`rzc-F^C4U52~c9NCN?<p;dpcVQF@y
zwD5t+ft=gg;h!y4o0D!(&xnk@TH*KL$ag#wp)L@51y_0HlhR7L7(wU&#b%39P2Vvs
zA4v)Lj7fNf^D|}htst93n;&Ki0db84=QI{H{wRmr&`(hY)-7sYsbgSJ9Q0Jo2W)Y{
z`EIA#SU(iUyu}=B!(woVyn!y<pe3rEc91Q4;D%96Z?5X=#^&Zp&UVzk36VJr%S5GV
z8l{6t&P$C)mE20^o<~DWQ3F4F_@8-Vzx_V^$!8oU3&-TJAZ*uFWo6|~Q(Ko9(~|c?
z;F~tWqEIXL+a;s5QNT;x(Pph+>$9CEf32Uy7F7E4QvwiNdV60ewx7(f-UG^)-7{jk
zYY6RO6;}qCqs)i3w^Hge6ac?{p-u$Sr_As|iM|Yv@1a&hs9K~hFC{VtI?VwpYKtkw
zzP~0m&Q5~Aq10(%c^~YwgOf+ymGz_Pp0;x+e3y_FAr|IPfc4F!+MAEzszb7}#8BhX
z53nC9Sj{YyII8XD|4OF8;!HzmE};>S+7+2Qiy@BAE?bZ7!}hXE!esMZmBacMd-gYY
z2fWE_-z)SH-OEFukPr%*(V88KW@#VzmKO<tsKd+4%R(h)fgHnBFqei=u@8-ji5c~=
zQ_Ot(*a+R5`5<C>W+UlK#od{`U%G{bib0>xx$M8L+9qmio}Rt6E5B?{5g>N_zP}aK
zOM>5Ljf8MTkKDdczn3zxoXPkQ{45#TXO_oo)#|Biq?_5XlZ1+xjEMuRmAZu+`Vt-=
zNwZ(M%u{HFBOALDm6WKmm5-M<7%t_tRgfVVMKFMFER*loIeu#6C2S0ci2JI5Lp51&
z$ua&fGZYvFd*0^6g8*yZHSxxyHm0|ZpJQ`&!#J+OP5c`eEZZQtIyc)gFA5G_q@2|H
zsD}=>gexnfied9i3J!SP0*6Bo9C0>P$)}$;VV7qixIZ{Ku&N0LX8#sd^DEtEt2VRe
zBQEnMB)R1~Z%br>)+hg_u(T4)Z+q0Uiw}uU7LZM4gNO}2HTf3UPb9;pu@I)G*mRFu
zbW*)uYK;){<hENTV6&UL3U$44FJe?TC;J-2QymePVQ%v$H7wvYnsf5T;upvEBbhZO
z$#L~<UAK$;3wD{1P{87oPWMazB~%juMAtJP(4*Yg=i8+ot9KwPRAB#Nh}{bkK>#Uv
zBVIE`={l)c7YW2Dzny9+!V5xB0VSa!GgBegr#Ys#iJv6i<5}aGSh$0vn1SLG>;%Lu
zzp9v*pRqy5x)~l#3&MVpDpFU>+YoGYK9q0Uc`@&WkcA$4p-Xpy8|7ag8fWj3)pmVS
z>Ar?72xMmEXSQe}ohwqv8uB3CmoO<oU2%hU;c<b++ovED;ekFDg_Lil#E+4vs5SpN
zVUxjJcq7&oBxVL(!2mQo@E3UqbAga7KF2;08sf=6=fHbB;F!i)5{#n7Dsg(12|Nn>
z#di(wiLO)991E!<lQ;+iMQc|hXnbu!Z{$c}d`sqdtbSWAV!33hN-5cAdAsb`$;(R4
z8jaSJo(A3Oz!r6T6GFN2L!opV_pS30k&%S<iE}4B-#$MR2t6%9FEv};WvjP-Iy@Rv
z(3{5H5E>oWUtLwD2`WtqSh$3catm}h8?Xb?XD^-?GTU8OI>O6lw(GS9FF$`9I3z_-
zJ52zsR6fmbS0tN?*;{)K^-_KT0c{xn!o3f6R!pe?CM9%PM24~SLt|u`Zn#X%8`S=>
z``6YH5*==fSV*UdoZY4<^tGW$qJ&f>v5GcNKF5Pz$$*KI9QsNpV~M?sxUxk^C;`#x
zIhEV*m$J>!RE3vN42Ol|*CtI|pU24}bOo=iBiSM63UF*Qi**S~+nOU0wIS0As11mY
zFF>RbCzKUJa?o^DPeZwh@DHdo!mPl|)N4N}8z@B16lKpy&Goj-ageh_sIR(wvEgLF
zw9XLvYxVVb&7SzaD49IROAV#wPRusDUeCs)bww2W@Ub28yM3oubuawtU4}AA?B{2}
ze|S}*iziHGDS(Tum|7JW5DX|CH!fumDYxy>tNpO3nqc>q5bi5s(vqBqJTId(h<TB-
zX64=FyS)T0gH<)d+hTzFtx+mIKf_W0ic@@l*0dJhneq6VB|<~XmXkDt)=F5G+<99a
zz&NC_U>zqVW6dn+DsPF#FiEh{GMwEQ;0}3UN!q%+zw~VkcaMUvDn$HFALtT0!S(Yu
zWlA}i)Lm%gJGK>jicktkDjiAp+xMn5uEi~hr%74c?}1Jr+VMoFrr1C1qbfySg-}B)
zK^_;#B8WyG@<OBIrflylxH%3nk&k$anl@fMe)PPNjt=3&31`Mg>I0BNVBw3t?y^)o
z5{(5el{jrb+>Nj@1Sw>OqaON3(OEqtCuiEl1JQ}t_Wazg0&qDi+RTYH5@Rx6&W1n?
z^OA?rwJoYXU0*W<v(F$LX7HRm@%_S7rT%Z}Bw!ggN@BLTdlw9m;Ly;6Yu2o>0mhin
z8S2Z)R|2vGjRhujn5-JR<9mMFk&X*5j^4PJ$*OFt%HF?Nw#e-9ctoF$KLUKshQvHn
zq}_tg&A24euq*0I&DH%acHLw|b=ba?$sG9k?4zBPhlp!H#QGeDTMJ{zr7q%>X8$$P
zBnSMGB({wRX^Fe9w}m`OljY=xEm_ZCX*dNM`=WfKIAWU_<!hPVJ^IC3_zL22BsW87
z3lTt0W=-g-)#-I$6uVJrgdaB9*e>P;L&I+Is_MDGaV#5wXNHlViY*{CR$l`^j3tu=
z4@|z@Qs@IeNepKj0)rB8-b^c~hv?mRqBTV-@o`aPmIgc$kj0Uq-2yezzuGO7C%HSq
z$afR57s`uE0&ZV@B*{E2YA9SOYEf<T=a~NFfy>GeG@}!98;-mLSWo7%$S%dSLcZl}
zmI%#S2~n32ipX7#+DomgM(b9RYk7+*+|30@AR?(chiD?3)L{x9#99#Z3>As`S+)<Q
z83py{5HwYr*dP$;<`1kP>oTcYw4In=ELj@~uSqVjQTq5^NH^r8W8VzV6#d+HM-LKM
zgxjg`IA-wu$!Ze>EFjPlnx);LZ<=Vs^M-g(m<=c5ku!6;6ld-j!rlvFeH$F!^8>i8
z4y@dbJDddVzPi2=7G-HFTA>#51*$1w^IR)2>~!f(6Kc>xqb#BK4S@~KWug&>QOCs6
zPJUhI^rAIKZ6|ibU_@5W$xavI@SCDbZT{p7I&l6sR?C<ea|DOI$X+o8Sskjm?l2+o
z7A~{MIZ4PcNvLE83pNN`@8-lT>ZF;DbK-@BXch$|agwB>gzg7fqhhc;>zVs36N#rK
z6B5arfzm>2jsv-?_Fy;ZLZHv?DEfi6Z}gDF#Gf2Pz+s3nUoTn*BESL(60JF9ICOQL
z-F9%aJdi5p58Q!y9;FBz_#Zr(z}EFy#hJ1PaC9+fC`o@U1SARw{j28%1O&nuZ<S{D
z^`OnIlz{Km^8hZpqcv8d&4J+>WPuoteYA24hocSK)DcQd^x{cEMBfP-fdAar<e=p4
zE(2fkdlV7Wj4~k-P;@xVuOiwhVB!jM=2L_AQhG!?^me-ff;#Ovrr$typEOk*QI$@v
z_J|QoORo~0&jvI=!YHq;t~X4UGn-#dUi}UH_~s0R?4%%3Kl33?rWqjhre$3uZbKB~
zsdp}stVdIKGIc4br1qe7oY3BC@~1E+dBI7M7y-S7e&{0<2Uny7-51_vh?XK}q9@`%
zb}G#bG90|#zK+YP_pt(Lj_e0hlE?y>D}=HP@r%glj}joi?a6+jQ`&|#w;0JK0A5Wy
zL%g)GUkJ7Vt;ztheS)6w7s7M;qd|s4*^n;xbed9MKAmsbXCG-t0EI%q?P+e<Jmnjs
zN+$_#xD-s#0D|EGsIwb_i`E2SP=Yu&kTgd$@h_Rt>92{oi4Y{Ul_oWW^=(5>Ln#a!
zkJH=?fn4ftKIR~89fVfSwv+o5yl_$2@}C@wZ9fJ(|L+i>{#P*25ej<9kZ_WUwp&<$
zZA3%VW4?X>g~m<UB-_;E&_9zWc`mx>*e|(NSDUjjm79uBo3=hbC!gkiG7WAEvA-Jx
zSVC1e70}P;%qRVB)h2%JQorhTu^diB?zNt;|J!bR<+*03`Pq<AHm@RG1A_}18XD)k
z)XOafU*$f11#*4F)f)Q5oNCj$ayB7(AwAVz!GoC0F<EUmfjl&JC@n34v~hrvQ;d#8
zA1G0W#l&!;v`*~S5c-ORLCMxY0~ctAc8U9T=CLVjT++FU>GR(G4*hnxVln9|ko2nT
zB#BB0JQH4*QMX29gR2A3^isk`2Atap2&FIIl!>zP#Jg3h5=9ScJhRnjyA*nT`f-}o
z_0()bJ!e~>o6{+?GJOBt?mjJ$K?$LjWMuZ=ceIee#uK?-C^9)D!9^s=!};eW7LPy+
ze%9X}hR4Rnn%9ZStatss?{iA1KhgwJHbbCCgJI3CV3-q~iMIPYjLu`3#NfEO1{=GQ
zG_oghxo9i|!~y1%QBPk)`Hc$rlrr}UYe6oC`LWNgN(&ySsw#4PjAknOn4_+@u_D@H
zGCqo(k1epcVxZr3&E!H%8oEjL3irG{1>CJErqkEQ#}r64s7%KQt@x0_xl5m#TC&lg
zSc*m;e-=X62e#Voi-ST7cAB3fTUN-tjx@y(8ZFj-KN&rbIAGemV~B~8#w}|7Y86=*
z!a_q|1Zg5E@*hL##$c8jbZpw$bqu-VEzDPv`Xl`uvxO|wv>uY09IBHf^Con2Vm?XP
zkr0Yk%CF8fgK~RlYN{ZKH<N%{l9w5i+UCPjK(>ThrqGzi`B=3~@+1eTSt#0Ab#sAz
zCkAq%YCb`t@GgX?+!##6khYtfY(GSGM666$?0qBk&H+K_-@y(rVAi_<=J!IDjgPu)
z=R1Ph-X&y1_#dKh(qlwe=L;NMbWv$f41C?>xb)K~hf?Aji{d7Yr=m$8s?4*1@uM9e
zn@Zbh{pEN6cvmimPAMu4xx!(j*w@0M7E@lbZ5TMY#VmjC0~YEW5MC`nAt(Z&>3U||
zY2J#~s@yVFz0xc7b^0^NTz!u&%LWEdrIE$nc<@3#l4@_%F4+jqMqEO%kG!@jN$ZZ~
z?R10p7a^wu-pRCtuZErPelv&}g#NCH){yfc6B9Bs=>>q%FXir@M7UFvmbK|gw*V{=
ziVBH+cO`3@uLzmWCxs-qdL&)&7ve*DVGg7t0c|6ih<{75-QG6tmGn#w044Sil50Xc
z?$$t1aILHD9_~@ctd2A^kno$NtuXqEfKy4{${@Wg#1A#rR8%_>D2TL`Azrx^O|K@1
zI6&J3hNm*n=YxUMjqUYxe`$1p%(paWE<a=A??jpJ+qa7SkD~KWXlFNk=U{p9>A2Fb
zTOY2L?xN5?{-w;a&2YcGhROC@1{FmZ<nvl?qsMvP6G1xpI+^Y_A9?+i=*sdN*Ok-V
z2WnT`VSUMnFY23|eQ$ip>PBo&{FdR_;-kZy{WfJb%~oZ7rDAr?W-n#Jf8DU*j;rh1
zbk}2+GZQBE=)t0-8HI3iapggl_Igbm6s(TN$H%kxS&j0Uol!T^*FR-qatv<86^Paf
zCMG5*qkTXb{4VK-Ptv67>$71xk1I6jt|MSwv2x`HNPHY~nzOeDzT@C1o!OZ;HYTot
z^T2xe@Ovn0J%9GhIY0kAv<z=x%e~;yUhBF`RL|t|En{_k*NjWn8ZGf{c%g@Qx38h>
z;p3}%RoggPxBriK$gKxqL-%uYZ@6*eMt*+&J7|=&YImWN>y=FS0Dh$$4W`n{=;-Ln
zM?AKQ+9s;@3Ln9z0gF+b(QQ0R-EkT}YSdq!pQ9%xuAnS(wnl>a$FC<vfVM4iuFbGX
zsMEm2m!*_rxAK48`^T>Unx0!Aw;f}38tsxxokul5bPP(;`LhsL*+?dUJWZbuuhKJt
z(){E0?>fq4ZbNPo5=vGfVc~nfp7evJ*pg+-d^l>dot#W&rz{c%4Vu#AJb6BA7Qo;y
zp$sC#ebLn4SKF)E_yD8;9Udd?0QF0w7$CYm4xQ(Z4bk`d2xa8zua+qHvRCWQBt!Sa
z4FY=pMBg@g*Z2N@E=ZyGrg>uH4p|t^jDsJ%YVU<<69<RPTp`><P<j5Gr?0O*J?a2j
zS)TQh;zMRckg$R}kM?xndmy;?l%kXBmiIMh>W@vpNHmCuK{PutDQT=ua5QwcaK-!|
zze4#ZCx##3GaE|7svClSO=>yx$3SzIW)YenmQdDX0uS9UOw6vnp&=I-2YV8kzm8z>
zH00?hdk{gWUyC-bi`QJ_Oi-4m4oPBpJL4ekz$EcT_Q<QsPQM6f3jLX{aC-^Y^DRng
zD6@XS+2>7fIhyAea^+qrD?58nTs%Flx>_D>bGtB%Pdb^j<|C;t`ZjlW`MR3`rQbwH
zpRu<W!9A3C>KhoGwzW;G96bI(LBonM++CU#e<NqvOqW7-d`dQk%R!(LpSMWkumeZr
z9H+~zhw_oRc*9pzR16ZbW@hXYg4EUo4WeUnUwb4wJA0y%f})~#k1?|Tw{=OW{8l}+
zOfU7NrS!|<_NzFQsFcrF$ErU?Q@7xzdqGJCb$3Qa%zg9vTe5e<f^-~9ix;-a3U#UL
za&kRx@@)z7>;CG=OPO)TbsE@AlrNudUhkXgS$}d556?y?;PxDz;ZafK33B<<ipt8C
zQ%FrRW+)T0$We6G;Y~pceP9x_Vota6iTK|*IQ5E0;LbRDriYwR**M7HQp;c+$CmhI
zuZr-UEgjp}r0UmjmVf@tGGd$gNss;w>CR2~hxlSN)0G4~4KjpAz@x>>*Zzsd_?4Mz
zT;$!En8e{InFfD`!ue8493~5tfBLisTMu9GIzC<o-7D9sQJSa<%FNpSzT367myy3h
zO*>Hi(%2?(aq&3FQPjzwJNIA$(a32C@fCFNooiTs@=u}|z>N_Rbj#FS&{QsdgSL_P
zo7h;dvR(uXry+pR7%LNgT1x71$?(<4s+*WL^bI|$Cu3{IS+j3{J;@}2$G*nw;RzWw
z%AZgwk8Hm|J$34?i!K=C*xKn?X<DTt+0Y8`{mcht5R<OYhs#0p!=rcf^!)bZ$&+s|
z%{QUzCwg{Zjtn@-yZ_+9;}0KBk~8|MN{=yp;>?+QJDXNW^gurCQdz-s#~z*e?v9RM
zA;5F9EI{-dB%X(aI!A3y+Dn<?UVnM+?#|LZ4I||5dSwM@g~mO~V_;a)MhzNM%Jmd4
z*^lkSAQ#WU@o@p0{wf{bZ`gD<akmFe6nDJWpRqkA@S(wDzx9)87y6Y3Vy4D79JGEY
zQmk@EVZ~mQ$qqUPBwyn~-#z75NJkDi#atMOkUermK|!0p8u?hhDf(Lkls`UC`m9G!
zu^A4nv&C*S9?BgAa;H^9R4F|bF+20=tb@lFi*r3=rY!HfdxpEivldDCi8<68h;Dy!
z7BPaPXJmM|$s6Xqf4qr^i1!{idQ`d=;~mNjwqZ+vB&k0-+3V;Cjl`sS08q2Wieu;{
z<5vE7{GsW@z>UaJMN>$mDdrIzD^e(}`>}qT!93c-+HZM7QBv4m8UhusDQO$}KrT(X
zCLLD!5L!7*5-0(@{(F%V9!Q66gg%M9n}h3Ltbbq}fxsAtoy)uAF$!hf9QE`GS>&1@
z+qC~kC4ND}dRKI&ahJK!b3Z==g*(YFUrJC^uUfzOUbw_qUq3Rc8)ZbZ2+n=@QGb7U
z`=1%m6njjeK-tqR`FE&|-Gn+J#TmnH#;NJBvix``$AoF1pw3WIpuB^?kZOhe{M>9w
zAB5xG8!&^w8hLGr=MFLZ<0ns@VxnLdTL>Mro7C%xv3G2$Q&6+*Jdk=@+G=iYj`$P%
z8Dzx5O#uhsm5!UXuAuCJzT-EJ(v|lX5$95Qgw(d>yHzu+kCE|9k(vO}*8i28%S3^W
zwQiEjS0QYLJ%WODdJdjjxe7P0Utb<6<T6^tXBIkdVQ&5fozY7vq$)pw0j?S?1vBE&
z@{b{lv50~YiTRHQ50u#>WseLZTi!*vtg32gaYACj3RTYcyplZ<hqFYH(A5pE9IgBI
z#GyzHZKI~bM~)QseQzAB8%8a83v}+5Q-HNFBRu0)eu`6h;>7Q&COZlhef9F>?%cW4
zYF2`E{qxU`2X}r^+sDPHRlF6K4a&?^jnQ)IsXdmMoQ(N}TOo|-P+_E`<Wn_!e~BAg
zn~?v}8+URYKB`}jjxLVA%sPOk%*97%KQz|Z^I0m0W%u>4CAAsMpgOWIc^+V$Al48F
zhgSpgg9IghOxrr>2gzMS3$aRs9<^0-z(|-V&}iEYVJ6M^*o1_u2OWWPh<_+6D~l0I
zU$tVzvjzkqnGreH)Kz)3rvgnb2nq^bX8ldRyDKIsN&cg!zyA}ActBiIknQYDS+Zn_
zM2O6Z5E*Zl2GFbO4z;(gwwvBfLFH+WxcF{wZ*O3pE64)a;2;W$8z2zk-Tp-Cdr#?(
zY0pffmMo6syLayNh?O!2ihisa1=Rg^dl~T9m-3O(p2!W(+SmwEu7my{UzGM}@9(M#
z3hka_Sjay`o{)tE18NZcSc@po$y!RW#!L|=^8+llz8P`310ngeckd)9&eCCKY0*HY
z%D#!^bnKw~>Ee>8^mOmuD&M8Q+ZO%p^|-AEu18LLNFD%vVI?I6Dt?u{iWRWq$q&}-
z&`QYIyB=t{q2cBt(pzmw5A^gr=yn*>PX+46AqkjY{;F+raeNJ$ml;WHXCI9%Y`vxw
zlT$`dAv>ydp=sNpu|y>fC1vIE=4Q@$L~ZyV{zIZtbU}B6QbnbI>|u?uv229<i&2h|
zu(afdDSrSx)|c2L0ovncReE&JCkeu^m<}amt;A14tW-HV@3^AD!>{MM;GY_rYRJOm
zAG<KH!RA;_zBi4w0kiX71_v*ZsOjx;$Sr?v(5F+RdQ6aZYcvU7sL(niI@Y>@zU;zA
z&g$CfyHB#S#fOGKB83PvPiF$)?t_%;0NqxsT4i>$V*c2!rPgSS65D;R&OfuJ*t=bM
z#aCHT2anoe+1*KD^P4trE(||t?;$+pnduTH9_MM$xA0P9*C`~90%KTA!Tbb9^ZnMh
zo}Qa2q2kw|th~Od=*5=<LpK4Zz1(R6{rZ)ZKOa7P4@6dEo9CrtbKi8?exHWE__)RK
z&r)#H^5fm3wkjFc>nT$sqyJZH*ZvRHzJ`~HC?=*R$^EjEEzx#L(KO_eONfpg!f^|Q
zt!Ys1WakzUbHuhKC8<-CBpH{;NSfr*O^M1SLW)QfooCsf-RJxPXMOrDYt77B@A|&)
z`@GNhdE6Q5V^F%(;mf4O1o!Ls`$f(0T`5D{@>wAD0&T%E*WEQcUcPiL8n#!@BsKbo
zpf%d!@{A$7$R1V;_aAw#<y`KIH+>LcRIIrDrB^hu#KiCYY?;sbOBL-SQ|y3lgii!`
zEhr+?p$fa`w6!qS_tt}OaSKT1lkuDK_2lKEm#kCc!R1puq67#$#f_235ucODX6vD_
zPXfrFGojxx0In>wBG=blp0Qc?`0yK{6K#(l@0-XT^<-H5=WA}^T}<_A#&+t=?V5fk
z!rdA<d*h`}EwyU%l{pEwi12ZM)BDTwK7T$u+FiAZkdTq_n;zQkgmzqQuymtkmxq+n
zW)Gf7a&o(_2Ow1TRw#E3-*LMc(y*ya@)6RooP6mQu*n<(R;^rFsiA4l9=M@}t>io?
zn-K&G@+IhIB;@2yK&KWMH%FmEEU=iXvV%;}+G9pFGwElwR%^}P^lVyo*$Wbp`=;jV
zKdRWVSgflTjNVcELgPs7y^0&=Scv-%kO5dpPRLc$PS`iAcBR<Izk*}xb8SNr&N0c*
zGqJIhT>a>t(b|U(t+BDwo_Vv}AVc?VvY?~WN9*D}e4#Q}w6P|KY?HmRG#r%=4jh@f
zKMqQX9+7|RmK2C04z&@wG2hqUd3y!2V6ZJ9hW3h)n!v-oZg(}EZ@FdACr<f!YbYub
z&@L2e%Z!-?5+|$2+_1qWmHn`_wFwZGv%KfQ&aN~$FGg00`@CZy`XtrClnP$vFJWk|
zAm6<OI=ced^9BP{NE>c|gA-8)BMTO~n6d%XNG*-;p@g+0-_Q5wBWs@AhVfG69LDS1
z|9#HrdN^I-&<$e9W$aqbjJTESIsrkLO*k<L&ysLSsz*iA2Nq7ct6_8awsGDH2!dx6
zGzRI(f!X>y(ktFz{5toZr{@gbO0{mS@@QOoxuE7%*vR_I(-|4D(7S7<eKr(96YmB@
z!J#5RE~X?j5DE7^%kn9&sfq7Y4a}~+ql1!Z5eGr<tjAYv)NGuc#WF2~2>9Fa@Oq_T
zHX(-!RW&f)w|p<Qdh}u;GqbX41S=-&rz_QOa)N!#jxQotC17kxpyvGXfNq$N_JGVC
z8vy^w7tmpx_j3h@!%63Gejgt8g`?KJ?;}BaAX>k{Fzqh1JpEPmPY;;sALgY+O{!F$
z&diL%{I!{>c+9}lQw4HGDHu4saCT^UvhW15-k8RBbnF&4?cj_D!+Wj)){p&u23Mc;
zLBY^$=T0N^8I5|AVcXC}P>5{o(S5bpzaJDWf}7{prw|H5?Zh!Jgkt+PIBP|Hd30u8
zFn@&q7FaBeP8W<b6o`(FW&pw767o?Ib00?(cJ~|FGu9yCp>sgvxfstq-$tzsYLjHq
z*FzZ{985@qZLR&3u&^-y5*2pH?Pyum=u6R_;orBhBeywTO($d$z(L|SK@ic<*jSLh
zROsIpYtR~6?YI^NTA&D(`u<nvQ+UmwzXDweUG5k*1Fxr0D9%rJ*xAw5*R7+;%8KQW
zOqD@5m&fB76z?%QYje*Ju6%K5m%yyJ=kG!;Vc`H~Eti+Tq|U(7Qp`?0Gi9BIh8T(n
zZF4UTIF?wS5Fk)M)dOpwNlB?)wZgV;2^#GvW;2RfTH>e_K0FF!pI6vwSh%}6JqH!P
znYHz)NP|mu%0L7#fHd*(S<7a#UrHB{<>l($T6hatT7)M95`_g3F_dF^1VJ}Z^Q^U1
z96(SVCQm1Gb5rnkQHClLT|h6jTq?6eu&WP)0nS|g(=)p93jRJVIbPG0Q)KyGn~EgP
z9UOT3_I_7Li#Z;ut!?@fr?loWeCjpt7U|@#AF4hu@eaHOm^d0NBP1lWZNBJ<FWG$*
zcP~cE!%4Pw?8S3I{q2eGQj^-81MK(@2F7x={4QjZ?VuTStH>j@vjYRi0ohM=4pN_8
zsX{qhaPguDO3)fT=DKyF5Jp!Gj113Fnd_v1=5bT+cA%S^BD_eFpa}Hh{X$HdLb=y+
zx3r}Bq$FxnxXSG*st&~#44b`s)d#PQ<!#ygAe4btDj_;Tds5gbx|{UM(7fQ|H!Fg*
z|6KTz71hQ;t)Hf+n-J>P!lwhy7Zxg^?(;2|Myb?U<|952+U8k=Yu+->6_i~LH}=yI
z59z47u)Dt=w;8&3bc|J8BEYt=*17<egM%|SXbFNAzqK@H^3$hJ4bUcI!N0qIU_ePz
zb6HeWl+EQQX6EMg$OC9iV=%eivXZk2D$*FnQesM+9-UZ~%Pz#y5BJA&rKL1D=hQ>x
zfW&vceEn)vxLZj_M-rO(%bD;t#S85YIXv&8jPZCs?}r$=^jAW6UJ((4PeOHN?CYzJ
zax9J%lTUxp4MA1`V1XpAMP3soB%%L;6;<}e1ItmpCrwPSt1<A4jAEuvdYYoHJbV56
zauX91eBYyci{mW{4cTmM$dp3pG2k_{qo>SLdR|ocqeaXTEh=#+z0=S>NtcpJ#8UAM
z0=!M=*lE(z$C0|RVTA^{@J6&JWb_y914ALZd3<JOhTukt9LfR%a1jB3ceL%IJDHkY
zizHGt<*X2v^3QsDQgJ(mg7jo{*@ED7P6wG8_veG<U)lKrfkXZZant^6EZ%(HJX{Pm
z9O(FoF!=4a_0XIp2=EP2GmU(5!0H4Q%VV>%VMyE0yaF>;pyrvOq`qFGtUR%u1knNN
zpwvZQ-2aZ1cySf1Tu%P^r)XW!8>Va9^XExmq}Vd&K`BtLpo%s@v;Us~=3|sP@C%Y~
zQP5j#RCCCME=mn`6t1ZR$Om^iz2flTz`!9TC1nNg5b7#A{WWwr^Ol(+lp0Vnkw_eX
zD?<?hB|+d>$smp?;|Z^|&LxO_-rnbc`A>AhR$PMk2w1*qeNS~YgQx?B{3Xu}w?}_V
z?zy8VG=)jEwGa&b!oIz7snB0x`--%)Bip5YK0cn9D&{Q{CO!iD6#|p<rX%vMI7W3Y
zXId5oq+t-X6keMEAUEFU^UvC-F(gHCZ_?MYepSM=P$)mtw?p+v(wG2%q&g7X7;^Cq
zWW$NUUdYBuQ38wH>+F^I%UPv9Iu&1vX?)4f1LbMw?Pz^Wh6ZsvhveZ=dlUhtfpQDY
zvWU2N!tP5v<hF6JFMBb+FtW0u!k(8Qr;g8V7nd*EuSiD1!ZBehTfY+*{_E&3Sh&GI
z{ttNtr~Gxyr~!l^OYemvf{vH`$H6>~74FBO&?u<&_gS>`G>_P<zt2j%XZp+k<Ku?E
Y6SZ-&OST4UET{~cn^+r{7`ny&7uQv5<NyEw

diff --git a/reference/as.mic-4.png b/reference/as.mic-4.png
index e2b55a2bd9494ee98ae0eb0cd3e99fb50678f556..e5ba67a69229e95d9500849ce456a8322b2bab12 100644
GIT binary patch
literal 51869
zcmeFZXINEPv?Yo;M^q3+N&yiN5D`%jFcA(20+OSO<S02qp%@4v2LZ{T<S03Vh@cWB
zO9qvkB#Go6+p_NM_kHh2|LFI+-|Nd~m4GMgv-VnZjycAd^Qn}i$gb@)+bJk0c9BG{
z%TQ2kvZ0{ZaChrw{HDV{@(2Ffd{<oLI{wDj!nFct{I$(gRLPuzg7z`--#YL9DJ=?$
zzbHu8ugKbjjCI*s9FXf?o4VN$<-1pYTX4i__ES&ZK8cGs^_61J&NIEe6fE0MY=0#}
zO?6C&_Mmp><#I0}sf|MQ`}SSmbYP?K#<un8RmJoMAG?Q(O9ZD!?RcYFEgnlgo*xYn
zh$ZJ+j;iG3=bJb#$;*XsR&4!!RTLC^&A+~;{qsFVgpKHr_5b{E+4Dr{jz7QWbl=GF
z=iB$E_80#7cJJ%|Cm-y;uk6t--!9{TF5}icg3EiyO~q~)8>eK2S{0~OywrWX@t>=>
zE|I6Z#pR<ZZ>ZUYqh#3u->`}CKmSx~?b*BOpGUb+3%OElEp=J9A*tiqX_f5L?S23J
zL+>RK*Bno39^(*C&a)Lm*&W6nRu{D7ot%n~?tXl9w@6^gLE?7eOHA;8;Deh`^IDDR
z@|zm0EY6X)Pt^0;|1|8f?r}^|NDU+V`dWTs3>b=he5@fxBDk<6!>Hpt|4cQPep`Ap
zi)>s(Q<Ln<T&i<(XP$Y#S)QxA)|WST<WCDO|F|YqHP)Ubo?7%XDBpTAWd}#0)YGR=
z#Uvz}EnC%MA0M+5&Csc9c}mITYT&u`g2m8tb%!Y-HT&@_F%n5yUq69(($u#PqqD<}
z<teTGW_ryDa&`lOI!)O|Dsm~RO3cj6`6CI5=Wf5Hs0rm$xOnlRK!7!GsC<WH@cEj>
zHMX42yDL32%}Gib`#t_F=#K+BHZrnlU3R0%%9*-849sk75>%?De;eoaZ65C_=@~pr
zFYNibWOa_CyuAEVpQ-NWh%1Xf%Jw+=mrUf3W}5b0m5Y-qH975lY5GaG-6$KW!FAJ)
zWdYssw|{RKX^i#uXIC4^k>q(?7HQUBxk)bjf+wflaCE?I)2*8erzz>^Qk62a<F7s5
zEhZ_My*g=@cYum&(DHC>V|*Z&&dAgUy4JrpY+0^&PA0#)DX?(8E8lWP`R1vPp4|JI
zMxD87*YB?T=cZobbmh5v=(J*luoumO#DrLbI7d;`Cts$jVT%zC=LL_R?<ow)ifLEX
z@-3b!hImkM$m69RNKS<9*sx{yY;dRF_WgNX1=g*6lZBKPMH)^E(ThLFkDQ5QAq55o
zj&v6l2>j}O5HY$(NYDMx!f9>U*1gqsEbYS!KfmbnM(w)&m420#mE@{^8A-`!{%k5S
zIH$^5k9Qt^b>+ckz18If+{F5(_*<4^UpOy@O5)FWN6t;`sT?_{Ph>{rw7WuII47_@
z#@n-4XG@sEY_6(g8%kSQWvj9Wgh<AoJ$p9Oamh*|TtE#^++$y~S{=kKek<li+NyDP
zVIJO5J4*wPmQPZQluuSBvFHv;aT|9kHpbp;o#-m?^Yx_<sES@*b_l(2|7wr(T2T;>
ziLoE;1=EOUbb{)-w!t+gH9b8!^G8z(lGZqsGe0ht433V~7x;MoyH&2c^0+?QO`8xc
z9x&2wkSb?pmj3nY*B38e#u1;tCWu@9BJMNut(Z8g@%Hu{lkmm4(OCWF1ZDvN^{J_;
z1eKhW7|Bp&-R~3MKlzrq*HFI><F{9KR!CNs<Fgw3T*Xn6gxiNrOuB#nzPq=#f|!^)
zd(o^+m+fGva<1u}r(I#CeWpXJOOrXP6Syb%l*Gy_jt9JW5rrT07N+~%$cd$K^2tGm
zIMkDRoR%c4yKQ4fniFH+zrRjwVC{@}T+qnp$OrPN>PF4uW_hy{1(S<OjWbqz&j+(5
zr2Vs<C>U($iC45+nQL|I-ji)NH<CZ!ZNFn>(u1Q|3a75f-`m5ZF;4n*Qc213bk&=$
z;^N|sxZz19&dXCG+=gGyB=MGISq#e<Jk*zwAqy;grwk`G{`zH8w6?mGAR909d9DXX
zE`MPl*l~igF2Bcql7DoPESlgSqxjDyNLfAa^?Lr{nEmNqQH8n=T0BRHr_=O7&vbyA
zRUo(H@~`{-gM(Cj#ohvoAA=^oq-jQ~th-(n8}6hpA-MYM8;eG9Vb3(e%i^Hmn$n3h
zSsYU_8#)08#k{;c#`G}7e<MJ&$|qHO=VN9)^ey2u-1>@*JY5#I-qweF`t-?d)#}30
z@?y1juY^33hPNEEiBPn>9yIu%JKt)Yrs*s#pVdxVe!QG=p-o!x+NyoBa+a7%j&XDR
zt=M~>%(At8rizVBk|9#q(bv=!PM80akzBrr;IO*pSzdNnUfcCjQbL05lj(NOiUaxl
z*Io;I)wbn3a#rY8`Lnh3gzbr(8GN^cW2YW1C6i<mz4xV8g@uLBzwXF#_>Wghf1q;i
zx@bgwZlC|24{finvC1de)V7RQwQ+{>E4Kx_fB!zBb*h@HZm4t%-RXnd8X6A#$%d7?
z_ZJTSo#FdQr#9rN48z*s*vs^cj0ei>Up5Z^9Pi+^o7Eki%r@%K?=G}$FR)I<0sL;k
zi->;DGfiD0`1~%X4OgXt{zRb5ZSUA<YBylx;^BFg!H<kOvg7Z6tC04NmwqkWo^P4R
zptrWVa-~b>=jX_4SDFPaM`R81O?rxh1RU+&N;huVb8KhAgp}WZ-2Ut{uJf1bQ`Gnj
z>?&U{OM8A_%hYSE2wMHwVe&v(yVP~l6+e~qdr!GnO4gQ2)=?(JN`^KdH#|t_7$57n
zah>bXKieoIT=Yj66Aq$|L|q`4Nbq?h_q*pd+09QFNe~;i^3$g&m2MoWyuq*?2@{AF
zDveeJ{I?fy>6_$CZ~(bO{rnC#|JjrjSh1(tH9^B8iK*GE#y!PFyN_PjTmB>}*rZs=
zk426w`}{QRncFUiSgq+5)cmubukqSW-;=VmHy&M@ESbz1Lw0bLJldM7(G#Sep)Db+
z`6qxASBYRU8@{&uVR7k4Us?XIuO4$>Jvj8|C%S+LS_(TmRma;hL^K?x+;GrhmY0|J
zKmBB!WAN_bww4|)?P{sfmgFq`W|q-A`nw-r)6>(-@Ap?Zr`He_F<SiX8DG+{f`+49
z+2cK}#g0o!8`I1BJ|kpW^f=BF>E}u-vTUnzBS*<{dP}N?M%;L<*6Ba7U|aXh$LIj{
zgvsKi+Qp83v*9+KaJdJYciqeBI7memo11%qk&!XpX=M>{CSagC@YXBNm6b_n4vWM`
z2U+EZh)8+&?kjvaJfXSJ)_hbT8{2$)LU(N_U!q=POiNE{$!b1(@vpmWhUXKzSyKxe
z^692}OCK~xk$hd|vW>fxNhA_EYIfFw+o0tJVAJ_v3H%>_5OevM{xfFPap6cd;bog~
zV09m#h`)UgDbzX1hhAj!X+F)0oh#qy*0v_72iL@eJ1xdb-E9s~P`4GDES!0^fB*jV
z{t{wh4OAKq(%;wE1H`e2yC1*)_+*g$Z^}DGHBMnV!L9rGa-u?N%Ro&qxB0*gHl_6I
ziSo%Z+S)NJatTr5?0MJOlrul$KI(LtRk5)sq}=N{iRf=PRZcbccEcWB+^--$>y-1x
zopDi73|aVe#6_!FcSU3USb2DOhV1Zq36`TRdVTNQ7JDD;$wVBb<+Tu%OO%(x2DYeT
z%Zam|>`qWCuo9iJ8g3AJyoas@r(?E;r$-lHlh<k4M)uFSe7nF_ORf2e_79Y#_{*a6
z)t@a#areMB^*{Ici8O=FpI`qa?DKy?n^!t=@4v>~d*{?;^UbTi`@la>iMa9C|1GSJ
zyP)a$)N1da*LC^K=}PtI`~R`G`+wuX-7@zkyNl90#_>nF#K|$UjF}U69N<$v$GA%t
z=h7g!s0g{5X53Ws-NJPD#h$MFA87ID{PFCLSF~bjolZ-{lSdk&#h)hA%NSX(-}Mrj
z_&MGb@7uc2m)-Ge>YG+h$K2;@d)z2bQiKGwq^KFpZP|lhF>bo|ReEQ*Mz&$#m{mc0
zrXIcKjm)xjE@z)^G}#y`;HXUC703CmSeyeHV1WdwNLS@-!+2z$%NmYzerLJ39NA4g
zeaiZtm-StEEFG>=L2WtFspPyes==*Odz6;nuBlzygd?``@c46F{Eu$t6y%OyEBi`Y
zN8dlCtlwSq#CB!?P<Ci>G}YVc)N!r~#VH~gGiHa0X4dDqb05m<h(`Dp8gT0{Cc-KL
zcE9O`S>&MufzCMKcWJ9co*iYDX&r0JNM1k~6_=XAmA5Nv1L$Ajpp-0m8z8tcd{h23
zqQrJvTT*+WZ3Y45vy3|A32==HLaxBdh}chd-+e@85m5B%!uZ`J--k--r2Q;yO9e1`
zbRe;DxTz&sg&V127tJ|QHkE8y6ahr}vCtnd3f$7ts^LuAU>#A_-%w~f)0AVP0c?MZ
zr~+0ON9QJ;*ZAV<)<i#8EY9k&spd-62`nY8E)NPO8h7ObZ_6WkG^c5b6wTD~q1sXW
z+(EVN!!z29pMit<9hrLHW<-989*gx!w;Yu>;73|#OPhPKIc%jgoqU~7V_ri~KBVr^
z5tBk`yi8-A;963i`CwR;>AK$KJA1P|J$IU~t;`=Gt<yLkT;qB4V#7Uc?L+Z82<Gy6
znVFfV3`w7s`X1A{>NCw7On?7Wzx(3JkUf*3UzLj;Y(*z8&R6xD3GvNdl?=P2SAO20
zB}w-&Wjcbl%GBEOOdVtTGtsR2yeHg;Y_lidx$W?%-jmZ6<}gj7|Fo0(%-hlB+1Xj#
zB!mTanO0OgSD(!Rc(<HI`T3?N-DiZ#Cc}KN_G;CK4<CY)l9D3)xnm+|`7B2cSS&eC
ze`0D$UszZuZ{MO*Lf{;W!U}4x+izVWMv`Ts-Idbsk=`y!hFrKq!(%*_lX6pVWj3Vz
zK&8F?>`?vS*wV1K;Od)}B}84tHIwE9zd8YB2Jc4EHtc|`u$o|=fG>7p51JDdR62;{
zk59F4uyNJHZ`I+xz!A@dl9{)>mLt@$jkYQ8Ho43QUp#)gBipDkt5rP_A1R`eFI3Wt
zhFc7wnFF{u(spj7nU$*~duf_Tn?dS0Q_5NT(GMR!ys9-lJq=`TlXA^NZ?MchHrEMI
z_IZFFzzJfR*k3_kJBl3(xE=fb6ofg+U*l1RJuMNTZx$Xr(V}=D&aq4{2l=LGaU_u(
z#T4$4ZnMsRzt0$z4HwcmiQHwZpspT<EML4ZaAalN#Cb=qA$~!;Id<vBgDOcEEk|Co
zXB#E@u__R?!kqF+K0Xx!G}$cJA@(3RG`|+{-tWzP04tb@@+Qo7An?uTdKdFye-&e*
z*afnPK+2U2<+FZfB}yR`W9sqf%+ZTxM0z=8v7ZMRJ6R=1a(H;yEKe1GDr;+7Q0EXi
zsmru%m$c`F#q%cJr{jC~hoML~K$;Mfakyk6e!cc<xkvJ_=7(pWs40JBp;8&zG*%YG
zZICqV!JdE0-RFgRru3(2!ybGXq0EV#ZaZ;=Mj+dU{s4_*Z<e1Qzvjy8@5Pyb6}zrE
z7aO&-3A=?T6c|Z${PQ8a7DIoLX!z|cq^i8>1iQs1PBJhIdGU0A#<eA1Ps5Q$WjhNn
zG>Uqs2}H(=7ccIynPjvrXV2x{|CW@FqHjuRVl=g6w_PwJGdH&!GFl^!cc%Tkv6i-W
z<*-F1Fi3SE*Wy61$@U^9Y`o(ERsC5hgJJfyViSn8D%g|0X66L>VDY2(%C4gqKC^Tb
zSeu0Be13B82Dz!&(Vi$n+TYxHAQ>)@jFK=<mA(J_cinFlUinKC1<C2ZBgL<8-n}#&
z?qZ|&xBtca_1iaY{iai-hO#|^)!xGtd+&JmvY}v{$o;lkOG}GHPRaecod`0PBTdXQ
z=TXC9Z{8}hn`=r`;8+1@RmS&uyYpl}R#o{j@J?UQLACxDDM2yqRf1gNp?+QWNt7;R
z2IP2&{;B|PvvbjuMzZOh;~fBdPgeH^gom4Sna=~x?9o3QTyrRGPNXt#i0ZUb`ul_u
zjS?qRb$$bN;i&{{Kqw`6nx1|{GXsfK^&(|#JhpR!?Cg>US!AW$wjZ<rfAjE?UGt3N
zzEATXaU;ge)$!}5JaZkR?m{Kv((UZ>i5&=1An{JwBezOzEiJw3mz?D7Kd&e&2jTUN
zYf{w;vQJ6`MS<DSTmCgwSyk1Dqw)&(w&eX?^7i8JL+q+USt%$zi8`Flan^@LJ}C|r
zzXEyoo44Qy0(3zgwb+9On~?QSQaVgZ)b<Gcim;mKj0ese3NlD}O6+^>GqUL~{W&yJ
z7{&cXS%zMws^&F}l0tYC)GYlb0NYQj?V0^9YjU%qD_zUu(H^=KfPIxcTMzRXtG<1l
zZIfuwnxba6I2;Q!Ny*5>WM8z=n)nT9Ba1G}R%S*<Ap%!nspgPTMnEm8w`S=zo-|Nf
z1BhiLfeX>{*<yHL@NfO{r#geRp<*{~yy!CCV`DZu92>4YmB-=1-!a@6%WcwqX&0S<
zD$XSP>~lYCqnn^vb`MjHjExyOt}YA`Y|uz+YATjP&8E+7F??--t_V9ror9IF)_xFt
z5pk77YGb{4QHe+@L-nt*o8luhYbq-n2pmf+QI<igJctKkyX`uBHcBx^_(|riSV`hQ
zkfS6+dEL}{`pO>9wWye&3YE<N@otA72nw8U0xl9D)X(34!1|#-r!Y`vL*q@sWR!Rb
zxP=7A=5dH^_C4iI-E#MX0s(7S4+auy*NhPWkU;z-5FHaU;<|%f3VX`cX~YcdB2o4d
z$r(60nn>$8#%gnuJ%VwL3PpC7ZR1u3-*1EL6j&Uh2k#?|?e`os=%Zan++WNG9AIWM
zI&ex})04R6xb>IkJI%dQiWl|ez=$A=>$fBYuFgBJDezfO%oaTRx;55_fticz7K)wE
zAS06r{t#9AZ_3Z?`^Si|><Qx@RIc`+bYlVn9mvUsE5EEejB?yE4fSO9uefI9b^OG(
zk_Pu>Ia9-<LT@Pet9L_5)xhAO0S*m03Kh{I(nLi*kUUWlW~^G7B*qGP98&u55jSH8
zqcwlgbS0~LtoVr-DI0-K6YQEh%?Ee98!sRNGYS%kpmS-ft*Bd0tkmH=x9jZen>DZ1
z(&z~P8pbMGKmP4e!CLKHv4@4qCi+gNTohqQ&rPv6=|GtfTxf!7UOITlNP;q}4Y^ou
zw>M5OK0dx>z7EihUYUm?Wd4K&N6(C8PqAZiaFsLe=e~HZ&t7x<bRlo7C)K&`f4v^Q
zCoxVop1d%g)8mjbI+jmxPEpS`@1jxc50#9yU7q@|BJdae@#Ccq*p)&pbJ$gz=3KlG
z1~ol7cRwy$3{MT7eN5@iS#cxmQX9*By$IbxCml){Ve)W8v`6dXpzi|%o3o5s)vQA=
zIxc3`t@ND-J$$R!VZmii>)yQsPr1L$*P_a-1_A8Yq6S2hfilk}tu~O0>2?yf;jZC6
zL7!~1elb>muu7?4<}QRvav6Sk6Y+Bng<D}u8VF?~<hxYWh4STmOb^?We3(ny^HXi@
z`J67R;5uH^UW3;5PK(1#w-V*qO70V=XK=%rOLXTEIZkH)vE4$(I$;@d$u?bdfzIhy
zsg7!Nq?hYcOH^N1il{2Qjtp80K0FbU%~|mh!M^&-xK&9N_VSWI>ttJTcRTwR$FZ6R
zdjxbD0>OPPuniu*7V$V_lg$1-N~}+v{*FcZv`y|=G0lJR;=rhV(~;OlJ+>Z@;ZHv3
zcygMQtYl|B1A_MZ$h#cKV-l9N3dBPdC}=VC`D%~bs>N_aIg34j^nMTK0|i#&=_5fG
z?!Rh1i}b^_ZQHh!xHYFWiZ3P2xh*}<GWBjWU1AU0<1{;O2W(c9BG~Cvn>S{#q^xsc
zaC`m4w?`Sjca*G(+cX}XLln;ImRyUAIoy|?bLTj(E%gYK(>lg48SbJu@noY3r%f0`
zIdES{NXV0>BVuIZ_fPh%D|t@2e}8r9gDpiVRT(L<VRn_H(_u^<xH%?Lv{WQ*T&r7)
z-2QFdre8TLr~|6B>}H4V__ZNjL@wCc+75tj<|f|&``{4Pxv3-4_a63e-~6Z6Fs6!9
zE2pljwv(PT+$^_OkV4O3hv_7RZJWNFdc-*QxPE93SR0l5%P2<5Q$B>cY#+!%ZF{1s
zE?iJ>sNWeN`b1T#N=|Li8gicst*%C@`$5*l8?!dqq=?p+oSKC#eG5)@eQs1Yu3o+B
zqlM3rG+&^z09xB7IU_Su`b^sH!)F<W6zQklPnvdUfB)!ng<}ob$Ih!X!*PDB?bbb~
zGvfo|;55A$xNLshF6kFDcg=}f+!RL8`3AIMOk*86CONAmHdA*?ENxardyNDiv9@pP
z)(Nw%P<GbV*7jLIdgUg2)@bkeRrEcN?Ff(Y>9m(urvTJdEXTj3l^F!`blcE>pU>uq
zW-e6;DHgx5?Vad9VWES!j9=l26<tp55(mu^yNuC6Lsy<oBa1xM7%)&**fg-_pejBo
zcem;sM)A&I<54;z&PINH`zon{w2A4IFVoHQsL{@{2UOuy1|gLxF`XgbKwv5&&VFS8
zhY7Z&HtGnasKzvhh3TtWB3?9F&yMly19aZMa8w%rJH~!~qQ#-0%ebMju_z@67y?JV
z{`KQJtF143y<{&z18CuBMVLPWva_WS!AYqK$-hM>2|vdm!D_c8DQP1l0pxb%s<MAG
z%R@TSsm7hEmf-2S*Uas_>X14&)|r>_`TX2aeOXj=w9*{t+u&~>yo2eSm+NOIy7-bd
zrplht|CUiFkkQSDU6O>mu4>h$B_B9hves>ov@}1NQwbWl{6;8m^U+H-pD!HUjd!{M
z&R?m>E=#X9B~)$#32m<J5o0{|ko?Y4Pxh$+Bvv=x8F1mr7wu-_KGoIbv`-+I4<PJu
z16!ZR{&n*w1eM6_NrX40w7YJkn>Tr|pomK5Kyw+OUmAhpd_zOk7#@M%Kj2=foe`L(
z`5_1u8FBQdXJ#Y-iu685{4Hk;8ct|L2?>+C1nF3NadwzknU?IR*w|pC5+a@)j{i%#
zpDm2!d-7m=3`p^rO4d}xsb8#<MoxPAuP>+3Xx;!<T7xSzYG`PvMj}u8SyffVg;;SG
zZ<#Y<gCJhivM<TBqk@b1<@4va5zur1*KXrVyc&nkq4LWXb`d*^J2_|fbr=!NX?a^r
zSK-u+pv^Q|8bOqWjLjUT=GbMx|G3vZCC)wzsI1P)l<KlM7o&Q<I{6q_t|3Xih<EJ$
zYn5}9g@+FxKFP>fE_!zD*9XBu|NGu|O*(V$zg@iKtT<(<CCqSlJA<HL&sbMMjuct%
zt;;%rDv`6LDn}XpdUwT6eqFdob0b|qW+g;-HjCaiMM`-wH*%~*cdS4(Tkg!ZZc)Q;
zh(5`-#7P1!ISWcU?QSjNeS!7l`NkND9lyRA+_y1~E!j6r;qv);FWaNJ(N+}=G01MB
z??-lVlX9F^>{92x_xA@TrWUue3>sbUYqJdHcWw67+0ut%;-_*&zgZx}H0Azo+d<mY
zelRbZ41wSo7F9JOHkvSen>wmCCU9rEaN`e<ozsVP-r#)X^*uVWY&=hE-FYY3eC$iw
z@l^U3^Uu1Bd9c7gmFvJOCYfD(v~x<ig8y9<Ab1PouWsy`#>i`1=s%r9z3|=0edGMc
z%k!jXOX+gXsTsZsJq|Noav$nni(FH7#?JM7;d4*BE=(<He5j|SL{5Z=q0gQ#FARn!
zn?V9#JvWJy6eANYCQNR<o*4_Oc0poqC-|Y3Wt^_fM;-gvoy&Id90*hhYCk2F6gkwA
z9PD!sm8Z%W?>nO-b(Fc#G;CJbO-EZ(!{u5!qDLow8r8pYYwh>wFg|kL@J-8+p_biY
zPw7clXzQ#y?>}zMKM~r?7Vq?TM|+k*@?w$Nz#0I6(#*|}3w=2$B6N<KQhfOuK%wU$
z4RaB<#`ZwAO6LB;upS<u)hS-r_NY74|9Sy<1qB6fU#)6HjkA2x<-|T;9&DqQrB=t_
zQ+2JtZ@u#(FB)F-?wY^gCEKGlGf>mAd^;uKiL4+KjpMjz80*Gws<Zd6wK>;+u`b;n
zlk7_RA$<1;f9mp+immNQNv91~=tZ7g8XVo?lJ1VwMkJAzfClqAeyTLPYorF-Bc<P1
zg-zz=W|Itl{pb@I{Zw6@S=nXLDB;u^=;L!I)Kk@Qu35e6VQ{aP#ifb^ovF2IgEMu4
zCThmrK*dkGlzV+|3UJDlZgt5(eW*BU0{WmwywhP@e-UMz`S^qb$m#r#kYp|;O00CH
zHrANGA8MmNE7sn|6j)jaO8e`HIU9B1LnB)G9ECqzv&J6NIVp}AP2HF_`tqh!Cl3^W
za(`_xqnrJ#0+w>6+o`NZJL52kh#Eoz&2iFY%5|XR_rGDcwlxX;)zBpT_uXA?OAO24
z2$-#C`?9@sPW<(GTPGfK*Kf|MN78ypVCp@kdH{!U!3tFBE8)3RgD-#1sZkDZG$GCH
z=-j-M`Zhx#1p3sTePKpiPRqYs=91Nm+Igqu=kkYRf~x_aueo#4Y*R;)?-FKWX8r`l
zzRDmEACdLEv%<bS+mqw562bB(IBk7>eEKY%zZjn9y7TT~gh0t_X7UHUs73ZjhOP8%
zbx(yg_{f9XOId~mjNklDZnCTGl`r3}EQlIuLLqLh3+B`mp5i&Rb7DLfn(M1{CyG-Z
zU)`QFo;<1CSZ*6+#4tPBS~s~&Fo`X*C}5WTiE_!Yme1x#1osMf@x^2&RBynOehkSP
zCEb&aogRq{Uk~$I#Qi2A>`)zkH@)xz+Id@s4y%Ab?zQh=r#^$5Z7#C6CJ;BF@rC`c
z2a+YR*t91v=}mQK>w&~{_wd-EA6nkuEw2G2bDV_Nlk%~Byqh+?{r->MQleBs4K{~T
zP!`fgRu`~dmOno@#Em&8-auRC|E{HsO6a?@QF~_nK?T+0@x8+}^Ig{APEbcz0A!p-
zE9>f7p`ZRPup0U2J1NaB$&}hx6mi)79E(p($*<IDBlx~X1cdY$+TD-U9p~go4T$q{
zd1hKAOUbHvW@fyhWZCbz*wjskCyXSB`}HtV4DvYDO+zZZ7HJzD@3p?%&Z-lYXp5#d
ze+)raqMQ&48(D#hEKX)G7)!rvbSu}$*Vk9G{0u%NR^_wF0z#QmqmJ{0ZFXvoCc_u2
znE@!)Ef!{GW};R8CmGu~K7wp|!F-E>1b4)bMOtZy_XI;uj)K^?$w6i*e07$|5!j8_
ze87{Cq6zH@Ro5*DYI54BBJ#)5t7cKd37Hz40M)72`}S`dL8n48nVe}guG|cH%s{Em
zs;aVbyJAjR-<ue~Ix&VADa2O(A8$7#NWXprnSY;^W7<i;sZ(MJ;gnv*R#CMF??!tc
z@p81zHf<kKHP*zv0r)vdB1-R+qMyn|kelH%aD(7~%uKahI$nm6<hG<m;qn6+WpiEB
zTW~F}_Lr4YX^dGrIXDy&;ybC~87<$kfAX!^XLYt=q@>&X4^HgPmNk{3(PP|qQ&lxY
z0AlmiwIwKmve9CG5qF6iTkf^+u3g72DQY;c5DZ&%NXXHPM|Y3*x2>DMr1v5UK})f5
z;`&{ZnRT24Nlc8)z*;)^Y34mh`BSW{;_$7suySzR1Ts<2;rsGz3_I3?q3V)G>8fe3
zZTeZ1IDxLLhn9=At6xe-9fO*cnRyPCCkcC{0e6KUxDY$8A^SHY^-XX`X23XM5WKcf
z=e+q~1`l#-b_|ReUvqG_4U+Zh>f+(3P?_Wls5)p`Vmq+}A&N@*LyB5K(l8;w-(C*u
z4?d?SqpPl`Pyfj|$(Ya~5YY+nKyX5fAaW9c<fwSN`Msx5LqAGq_BZV~$;MU_bnKFi
z>D%eBr!9CVs-VHPVuFfFH#{?bNDql~+sMn+I_K4ImbP^a*PNW3q()~ivDZq<ytr3#
z8|81yY^Zhja7O2wJ7o+cz`s^({|5;LSKYP~#(}vnn%;Up$J&TJhG;E6#6J^IvK;++
z>2>DEx;h1L6z8-m5BPCts6z~OD!EqW$I4XD#U3Bwwf^G$uMfG^ph7}I4JJysl~J?2
z7XbmW{PsVGP&doNvjE5(kJVF$;<i1$TX*aHg}DQgJ&Xq!n}5f){e#=nnm%|{6we$m
zRtX(78p9p~&l+VvS)>5IzW%khKmze}95=$?M9>H0f)tmBVbh|%B*M$4mY=Cu^7awy
zOO3Y=R{T1(Gu)0mWBjr&bx`chR3Qp4w^g99)CbDOV1Vp?w&`4ZR^>Y=nn*rYbYz0}
z9sm99R<t@yRfUYT>p{ss<)+nrq4yUE2-H1Ik=Gtu{Q7Z+U?U;GG=L7`cKBr~2LnZh
zb`49Wr_PD`nR};Y!#=%&l)b=Kpj&@}w24#>4#+l{URKBZ(o9m7`K&ibSbv=WiA93o
zXh<}CR!J!OA_*E^lhqhSN_HFgQ|_*aD-T@yomb`*4D#`6ZUeU2RYFv1viI69j}P2L
zRh2v}<#b@@ynQ0>T8qUS1uC0~`AR=lsvrgO%KCXxV-jJDsiP|~E}Rlh>@1ipR!Opi
zQ)M{4ioFp(86>w3Tj-<y>@&Ll5IH!`ap~vcbQOmjA`Wusl>iMV+qeC|I1HrrbS?3>
z(zU2(GGgikPM$dID+oJ+n5gJy9Oxv%T?T47ZD144uoBJnbZ1-kMG=`#bLOw=TX)Z^
z9&cI9t?#t<(M`O4-R?+g;k20JkJ2p!rHNxe2&+R-Yvhr)gr6Oa2Q{vT+p<qBHh76|
zZj7#D9Ywi9e)@gR69NL=`3D+cx&jF*ILHY!+&bw1+Y!!}xXfE|^A(bWL{^OTMCai*
za1uC?RE<^kPZ6+1KDOGCyb9Ki5Ph9St@2due)T<OJm`6J0eL(N+;`|jb79HYTc}HD
zLZ`vSFD8AMd4C_(#=0Elpi3g0E3=I^uXt78FL5oBU4b`mTIJ>&rt=e3?yPbN2kL7z
z3AGD>LE`0^D<~M#*_}t*GGY<Ylgz?$p8O~ryC@61>C1rgQY^LqQ!vylF*3v$*`c)w
zMZ@#KA(A?xOXFkvc*FzP{bWr~Z>Ev%S1JatBeXx^cbdt^H4^&zbJ-skIq$sN2qL+S
zrfAf*u)z1D%#=y}UgHkvg&%@`7CO4{R8SXTdy}^tZ|OVMKQv(6!<v%&ZZvviwViEm
zUEK>)j^y1!$QOuB_woh9mfnY+vS5vODg|8M&N#ZVLNQ?bRS>A-YPd-G{mG(v<;IEm
z%X-hl!cq`@^x-B;fK&yAo!Ub1L+D0W0NvPW=PS(V?3V7(%W%5AQZKR_L46zL`i=cd
z{ovN_yrIF6<fz5=z7W>;cj<U&mL%O(RfNos7@ZF$C|fuR3{dNc-MpD&JZ_2iJCrZO
zv>#@f<oa@-T(?~m5ft0H@6rHxa63W+ImN{_6Oytvrm{W62q3w|;sX7*OCp+ilY>Lz
z*g=5%Z1KI<OBjS_gn7fDGL04+dmZ6v=`ONQt`7s8nX{)$0KxPRr3-3#G|YZN8uEc`
z<kd}}Zm4MD-{7o9WDjFo?!1t2D(I5$iEd*ZDP@~(%2`Ma9BI<@U|K&DNOoo1mN|G(
z_uK7>`5_NJ>8|)&OeGyYVPVEz*9(F7w%5!Ym7q3O$@M*kT6lN-GK93j6EkABj%;#o
zUI{eFXv@_6u=_W`t9sv!J-2r~1g%=-R4A_CP}uP?lJ1tfm$%0dmFT`By7$IVt|Wht
z&gn4D?PzV~KeLjh@>f_m^WgLr_B!!^*c*ZSo02tPCfs1q-jU2A_DW;#kbNx`63@>f
zbAI2)eMiH6EWUr-$F0|J9Xtx5_Y&gOnT3&0Gmk?#ihsS+$%D2!Di#I~d6EBFnHRGx
z!AZ>K<tD@=ZL>%cc^!UB#&O)V_Mn&nU2D&(hddoOSQSt6EH5yaGy)E}bMpWr2kRHR
z94(lC_$g4h^!oI&5y+_C?n^Z+la`GVJewQ?2a!@{KQV<r%vvSt^nBU6TcEo)?>?%#
zLOWD?VD$xuMmJ4lE)1Y->V;o)+K6hIw~hLou2fp9Z3<|zA>4^p!U={oyj{AU$U{W!
z2Z-~+*Y`EH)Y8}uyOXy&=bdH<f`A4DXWarQV8TViKsZ~2&fIaWORx8bKISEJ1n7v{
zEH!iL=sHTn6VrxUb|3xxa2w_Fv*%|kbRi(O^bo>2_jqw?D1#$(gmU-eJUp#5-1|;J
zS3JtMbX;?y{t?0ltZ|xe=U|t+Cb+h2?z1+CvWEVeNnXFd%bbn>{LdfBzl#h@!6w4Q
zD8yc8Z7#TxxEk{IV^<Ya`?4j#QYH^?+HvUD>3M9hM5wsr?UL{7j<t=o6$9=vr#nPg
z?T8ZdV`*8b<@epi$ae8!+oJI$)85OG-@XJBWqVHt{5<ND+((C<u3$|op3$<#-+riZ
z=Jg~O7gzGbI^@a+$~hciRT}0s+~C)@f&Xs;ijG`anok6$g3|q#&yvs<v(e-n<;I)*
zI2cP~c7%G8tT+F0h3w9J0F+%T2xNwX4u>|;gnF-sq?QxIPbuDg{Xh4|EjperD^$q>
z`cdsH)IRMMppJE?zLq;tPJ{`L2`ygH4O2Kws5-AKH@vm2iTFbBE3j<%++zp?XTxRo
zT@<wTNnbxdEkA;sfrIUw`9L)%LOl<;8g-*mR58>u70c-8=!1bJc60g$#SEG`9W~e~
zcj2Y;<gEA(1`G=ljG(2g1;gkhw^dy}DzHIoz5q5AdEFwD;)R%tw$oAnkgmWwny}>>
z)Z7#mJrjE~{HL-4z=<bAV}{Pn@KN&%N9EN(2ePNxbUVyQBvvCeD(QB^aF%3C2(zsh
z%+1Y{&*D~ciTj^U`&m%ce-<<$7s$0@W{qNpNSm&usz&^z9(M!#u?EQb1~hHC9z>v;
zbgimtXtnN5`zr03KCd3bIr6zjShiAU_*)r2U0NJ^t&Q|?l8Na9i!Y=~!nYuwqN=BE
zH_SK#{d+-8CrToemwRY@POJWvkT4mpz(;{#z1vEhOTft?ArK`9*sdGi$M}=xGC?YS
zp2mGY-6Toa#V^7PexEnA;-%|(UWZ?A7I3y;1a?ev9M?kzY?+23>*tY46_X+@2B@Rj
z$z?{+bKC@CvA0xo?ZM<+bXv|OfYLBdm(M+z0TfE6Z0y4qSWAGCPt1rD0dKC`ev<8g
z4wO&MnBFg!u<n8U_St!}4dN0&_DN>Y({_CkE`Hc?Uc~zt+pOADvw}uob@dH{HaNIm
zqO{Nb%uC4647=;B+8{>uEOfWCQP1}{m-yVHIj7s3ql%Z#N+BMoI69pPxOBBc@ZQJ0
z83?i8OyLaQ^r0MJtp>5^4)o?^Gh~{uI$ruV4pZmNq_ao~yX*=&$A`yfQo-{M;N7`#
zCpn3Y*Vfhse(SL2_U<Ye0<_`9jzOMwYuCnUy^_2HNSp2722$uV=N7WRzjl@Z(n&Rp
z_U>w}0IK@sil|mI92U$B!s*~2+6iG%YOT~UDd64>6nJNRPfDDH0frmgjhjF?@?H&U
zqH2TGB5l~_lD<@U9{!e<0=_!%;lqu-U?ZW{s*k;NXZ?o{z_aA}LwPOFe(<K7S5b&s
zyjVYEATpvFd2a3xwc}%$c$we@UN0^6L!aX$juCvskLT2SC%&m$cUiXZqRP@NG1{9D
zpl<icj;>(o6^b^W-d&BT2;kZii{xm(t=@Oi=JBp0hfHZ<xgn63L1(0eswZd6&2WJ$
zCLK_A9a|{jvSRr98@ZM^udS-LPJN{JR@6c<*_Txfy@%R##j2p_^Xha<Bv%F0g^G<u
z67@HJ&}dfUu2DBEIf6!VYCWt6n0?yfXzop`l_E4HsK@QDqoY_~gxFpUiqZXjpQQh0
zyXIt-)=?`$WRnLOUi+(S0A$f&(g1ohW_XErKR%uT0_ae@Cg5$0gLV36x;m&X$HK(K
ziOmS`yMtO2tWXWGq{+$(A=4SsJHImu&Y;X){hdo%c`tSF@bU3|x7twwW<$5RPg2+B
zTi^xqfu{SRxDNxhp`#hKC<h){sAd|rHHd9q+#l~mz`rD0IJmau^EWm$B=y5|E~l#=
z$4NT7Ve`(dc3q%s0p4ssF0I1sFsrN}Ec_@Q8&0Z2K(oTreE%)T=N?HNGa_yo8c3yC
zpK5C6lv{~S>$e2n@|wxm8KLP5UiW&U33S+AUo-(hDM54rk_WK%v+sFV^@hLEP`0mn
zR1|y2s%-M@^?HBaZq<c)2%x?^V$mVe)Y)l~cgqHf1AB6Gx8A}QwnRCDK*<p|O*kpP
zK4m%wz4uKEA3QKcQx!)91{IPNr4a+3eR1q1<PQGJZ>dlgV@(ucfY-U+q9ikQPfIHv
z#RGYJ7`q@0lBreRhq)^9tMhQI+`=Lz&V#*4oxf`#4i6}3fbD9BMyg=L<%VlCbq^<t
z5y+%tL`8*#@Ul9kZrg3&&~xqSB@G>o6X(%y!VlVQU8^NpJM?kO2-)4E8o@cpxL`cn
z#WI(p=2Gy|`E7)F51)kt41D#=3p0!d3l)k2k>)Lx!UX}cK12PKg>D``1-n-4XGY)R
z+$tX3&u<5#-$zG-$!Q0#Ot_6^l$;5(FOb*OfOC(Qo<~F2LLENRo|V|6WzZBC2|ge^
z=j{C)aUAnPbvv4Bf!*ILj+kT~8yi?~$-nG+F$IiLkGRwa$Oc`Tk3U~sSu#MxT1Uq~
z_0*{paUrQL4e9@&-5bfjP_SoB*e^h$cxV~kvX5R^_v`zo<?6*z8#8(wjjX}wzzdn<
zvPTX%z`F_Dg86=5o?_!Y&2ZeX!G!;@Y_E8t=+Ri8GkOgS;c2!V9Q8wk*Yi_pC$JGl
zzCB7`dzChMqD{VZtMw6+{Na;cbb<o6HBzuCmEjSTaxA`$hK+Z2QXu>UsMGA$QS7I;
zp&tSzq77eo46H9P@TU-(DKy+hAcMvdXJ;;$puz(d58o=3eu+%N{b0+U^8{s$z@Q3D
z;l@t)ld(x7rYqZ|$5_~t`VL6GJE(Dx1`7!p$rk2-2l<ycW$0}@j(At~vsfst5G+s&
zPOXz>Mw_SXnUOlj1#&Djb1rNU)QEhLzipA-B~X6Wpcx^#Y7nQI($wOC3W9#%SuOWr
zF!QMXxN!|pF)=|M#sxK=*nyy65<i|DwA+}f0;2?>77v4|Cz4LGBYYP8jnU#%gg*2V
zz}v1Uvp5R-*zH_G>B=JX#iAB#2vp!-H#Wk^cndW#5q^Wt>D}GD=a?agH`VVl&L)U%
zcZi?i*fYeZ1o+|vTf_-&;Oxv`-TcMrG$34I@?o^X^epmoe9*|Zi0?@U{5}V4^+FF_
zUBtqqwHe0XKx+?ujvRosVY+}HMay||^~!t?ooO(C)gGF2r*60D=0I`HS7qk{No5Ws
zeHf}@f_$?6MA5uD7gWH}jN@NAc0GKRYxFG}iYm;mbcBSDMZJORsfKu61J}TYW5E+Y
z=bG6g$26T+!CKLf2GEx?qckw)^LJ_S?}c4KHsOJ>^&Bu34~Va`hzv16oiRA$0~%|K
z0fai8mYtZp;))RP!QB}hNXJv>i{`s$7M<!oemn!;s)sEQBms6LV0^g&|Nae-e&FNI
z63gSbILnEnJi`~%9$?Px%JWhoVig=!@dB8>8z7f{KmO`fS3RgHwg~b?>ZMX-PEZst
zwW|CBLC6O0rsaK!3R>|s<q>ZEd*F5T;Fh|#``9JwGbs({U3o&joojFmAg}{=a3C@n
zReqOSPU1-CyWzp>uTyD1nQzh*6QOHmYg(~RnO9?IXZf<P(C3S==62(CGcX?o9pkrq
z2_7y8aJ2EwookISz;fCD9NRx!ax>`MCtmpn!`C)YxKiod*tT}>*%KJ{yyhZ&u|5aw
z$Sf2TX@uFSrK|;qKz-;qdO8342_IZD01V(wGir4tupFX4QEPjSE^OJ-1oJ%Ve~KVS
zUc81|+$a0qr~U97%VPOu0@&4F(e9>ragi{RUvBcE=DZ4<K9EBL!U^#&6i*@$JVeRe
zj`M15hS{e?Hc)8oAq?nyEfG_*j%__K@jw($9ZoZBJ4^Jc!AaSK8`-M+7?0dP-|Ka}
z^T8i4xeJr<f3|nt{qK4@|GQuRukHH$pV@pGXI8)auND}HEBj2Z^LajrgC!g$)_b1P
z!otGvuHS;K?i7izfL2#~nw`@U0V|C@%)dww2+)$}ZgyQu1RGmMMuvd|uO^J5&+x0q
zHQKk(FvduNn-+|-^s~6JQwk{|FmW-Gz&uyh)OZn3#103nVIZN(1{>x<JQ40!FzXD=
zOiZ!Wv#jC|;An%>izEX%6Z-S(qtf?e(ToZ1t$z0g3W^tZ8Emehaj5EsPQ7*pGfar=
z0g2UyxAg90v?b}apEo0*Zg#)p5hX-M{f_k6iwZRF%gdFFMolm1c5IzqzVZB5p%-B?
zR5CK~j5MM@b^Q3>*=)yAD$i0<P`tH$s&ej6)4>1gR^R`bH~qhFPp%Z=a}h=PL-^=X
zRmB4ejUrN_w<Lr;@B4njR?pMpkTGUupIP>&(Zl5lGuO6mU~+^fA)(c9fB)YiLEu>-
zqNdbuireQl^k>!nny$Rzngd&c9T-m-=(*%l)z#ob!tQBDb=K{)WCVRng6M;V3WSy)
zs&UhQdqoVj296a1pa<|;Pb4AMeKgKt#T`cdaSO~B(Lx5oY83g97xjPUwLhJdE>BKz
zZBuvNPf1Dm1xe_g(f%D!hzoN0c!6VoA?zPCdG_@}R6-YN{#@o0&$H%x)J;4&dCk5*
zIVl-(3Qe-W#A<|F*6QE>tiAj0S5Q-q|8+tSPJ5d3hA%xiaW2SFKy)KeycD1?Kd^h-
zPI>dv9X9)H0msESq_llr7nM=iN4Z{yA@2ze&<-P&vp8Tco<INVX|~t7x@=3Ft-3mI
zZ2m1qD#V6Gw{fXSGx!wASgy)_ezciJpO7EZ+YHH3zy#rrk`GgovW>1@UBBlk+OD1a
zKJ6>i34eGLv6AR%MN~|BA1nw}?q}O^*a|eIEZ>uJb92w;NJMYK8{Ew^n#nPK{;A5t
zidx7frb_&qUR1KNW4S`|q46{C_S4bPWlVN7)N-Xg`1s05{2AZVXCGO`jZ`WszG40L
zOIg_otZ88R=jK{9#92gVp}|PeIsEt=7%>vLNe@(JNEF4B1kW6iPnO>=XO=y=$h?O?
z`F-#jQ~RCYt1XrAB5z|V6CgA^;i7eyW;~BMFW)D20gC)a(2ir)d4z3lun^)&=q1~;
z4Uxh^$e-w5W&+!dtS-VAayDAO*)-_-(SN-F3FPfg_e5{rgtz&3Ji_*cJH4R_wbAv9
zufB3>eJ9tOv%%k~#QAGMB}Mh396&w!MR0H;dK6BH$XYQlFvLMcAV)z?)6&rqx%eub
zo|CiQ&iD!<518y%N2S|*&<gwg`#qA3yu3dw;0Q)-J|Q7V=(HlqAX*0I`Q5^GzM{oZ
zJ=I@n;o8cE?drTxrEw1UAD%&$+panAHwg?z$D#x0fVwg*`$V#WnQq6&slw~^)RY-U
zM|5t)7jC+$H)xg@Mcp|F*wJEfy2M1BzK)f6*mR+sUseArBl;)VY!|~;HnyV?G34gg
z4OGlWDl4!3=}M${J6<S?sxoP5THUf)PWsuO-h7G^uWvBe+=TK3(!~J4#LYOo*YpBm
zedk{q%V^Itk3}#>yL-neVPakb@#S;t<V5MH1utRzuL-%>s1t~LLfBMWuCe{|2#UX2
z{80CTOReyxONF6XsAP395%@kD)@0(a6CJf6)m{^N6^`!Hnm^~1f~3Vz%1WYAw}~WF
zX|V6Ye1F=%C@wHnzUTk9XRO!Z`u~P)UjGBlZGRT%f1lR0|GMV?Z*8PiI(zG5$K-71
zotMqE$)u~IidWtCvK+i}{G<Gd#H*JX;<C1Wm4C=`Vvnm!HVcbxv}_dh-&dIh*t70N
zUbWrGtn5y`cbCBzw<o6$87gU!T*kO&mLBwYJ`KFAJ;310RjASGH_Cgl%CXqIHt^GT
zuKCU_*s*U;t^aqM{Gak|+!HCP+uV=t0AD=L-`VK)O*4V{LiRvfTk+bB%E~&SoI4Nm
zH;N<wo;__-Th^bS{PaS$T<mOGR-55b70UaDiO-}*CRslq{Hl_++N>O)q<sD4$q!ys
z!xCtA*<pG34qB<r4HHGLUw^3OJ+2fiks?KP=So^yntS@t#rY@h?lQ8nvT;>g#p~<q
z-Jd<%jb|{QJSoh{$r;H`e;TB^IEtX{_-#DmY9xE<IpZ9@CPt)V8umhRrM{G+VjOH@
zQUQ0|(Jy`Y(ea#)WVGP9<%hgMI_Dt3J1?r^CyCqW9^E;Gltcz%wuBVCSK$D4fQJpw
zUI2HN>Y81ahn+Gy#@)TV{1|}5SYfYwf6&eQ$&;-n7v%9C@7}$`GXzf1(-%b=U%B$P
zySw{URq0=+R<7Jc=?YuZHT?AC*)xB%k23W4_s1hKzCRdPHq(ub6>(x?p%YNwo%x&3
zI>vVwe2~3mYFHz;XpjuiIsHS6X+im4yH;75nSHRx^mvQLzF$01F>j^~u1d%*&iRkF
zs9F_t9r<BKJZUaFD(ayoMh&D;ci!9eC(fRBcloy)_`kmWXHEWV9sX+_DE@!430O`v
zZF<=c=BPbQ^KrIe+biHp!nOimur$c<7brq8RK_j;`k!!cMow{KA&3PyCv@``m~Mv2
zLTZ3C3ig``mPm7S*dLGkca%Ui)uDB%cc_VBM5tAxp+3n&y7L2zAua8bo}T^!?hkO)
z!{8%ZQ5;`WWB>CmFHfAV==H+58p8OAS7u~jKpLq!vr|Y&C?1^;MDq;;Q6?kw9Z&fe
zp;zxav~IFL6Wkd2yHx=??DO_2fX(>*HIRE^Jq)t_q0ijix8FgO|NV74><#sUd9&ih
z5mu56N<1VP^R_t;cXt-m0Srx{ex#Sxe4y{wOa1N7l5L%APG8JcI8=6qVMo|ZLu>pU
zYSo;RU%4agOuK?SMzitPdI}d-(w8lTxJnpL0vNn#`Lbm?I$>VcvRm>02}*bfb|LQM
z;-I&nRgND&-lX-Av7oCqE%}6xkB>ipw$8ZKf|FZmbQ2go=|lX3$E2mD9ektQF%d>~
z<eKWQRNM=&hw?;LBZLWJN{yPZBH?|t+!k}cpevFcWqy<C9oiotbR|F?z?EMQM_xQ(
z@ylnxhvu+$3Y#9NK{oV1VBYgOy*XK<@R;9+QJh%J-0sR%TBu`y|GkBdh?r(P4
zbQ$NM#Uu;;S(cOCYVfzF&Ss;XIquCC6GOu!=y=sETu~=Z6br8OO=F$v(ku(Qe&3ao
zg%8WpqM0ObL&{~;NZeV5Ho^dlsRtk2SBu{|_n8`YE!eUw&(cM*myu6Q=HAS1pE}5H
z9a`1*W%I}TlctCF`QTqnknPWRl&g4N2(5jyU_WXbiW?dys<^q(I7fvTyMWmrk?<D`
zgIoP+urp<0W>6vbG!Ku0PF)!H>+0v?qN305P$N~}nR%)2j)pqX{U2KH5fEZjV=P%t
zM&=cos)&SL*1!Mt`b7@H!g<I+KuB0P0k2AC-+jaaBs7tqF_Z1<H;&B?Zf<V*aF9G<
zoesY*5YYO7qJLmOtUka-;$uzG*@=^?n^4s<#Lm5||MEp~Qi_d=T{ZW+BX`pKgljVE
zC|pJ;ttRdH`zCb49b-`Q5htem=JdbROvppIX(isyam;!;dE@0<g`hv%^kMRw!>>xm
ztwzyR-w0PG2w%P;44Zja@aF;Vloe-t*=Q%S^%{lIX1~Ah&p~o|Lv@JX2K{7f`q(Pu
zD45P=z}Y95c7a(Q{vfz|-_q~jI#%xF>Gj<WoyIvKl7ox^f6mS23tK&0a-cP!om45V
z>d)J`=pQ_!`7fLM*6+#xaR`Bkn!nc~sSb_ph@Qk&eRL-dCbdZR4HPae`~F!S*8!^n
zw6uR;U2BxTP5sF5(Y}$h6ck&xulqgH@a;K`{;>KPzVnarJ;iKON7>vxEFR|Xq@Zwp
zNB!@h!`spu{}+Gz@_oM<p(T&Ndsx?xxk1YCWWZDv2lay$cp3q`nP}|=op}p(dzKup
zj&XT3T{lDd%u`K?FsOzj6DsLBbn3yca|8GrCj2J!c+J5Q!pg+NG~}qLgkCJ1F!Z>M
zw4SBd>WA9l_xfJWwSgsl4!#Lu99_RZx@aJu#rtB2L-5&|J#+#|h)AQ58J{zNUP=U2
z*4_W;jxOY;5omV^dNBnP`K-N*#GF0Y0TdCLwFc<;tZu-CQBP(RKL?jBVZ$ceHbCGT
zx&!2Z(GzoXzf5XT>}8q#XROZKji3!N%r6R}V<aS^7fQIVgjnhb)e+*c7bd&_`EP<2
zgJ+L|a$SV8lNhPiX4t<bNA##c;ClsXcT=Z_HTv#pF4?>R&OZnDzEMwcm&yaoSU{6~
zEP75ypYct6HgTFc0=x0Kh!qNo1gbxr&6!f7p&a^|E_~K!cfPJp#}Fn6uH$6%B%_1=
z;E^MvYKQjii$s_sh7FCNud6P5SJ`Ly%ZYbFpKly|6;93B@ayBQNsu!!dy1HN)ZY$!
zk`%}$nOnEA;A{Z^s7Q5G-G;n=Rc$@Ri)(xSDPC`!fow@?fHg(kxDDOH3?$ri^FY&9
zI@r7d7$ib2)TfRkf;`%J_ylPYs<#Sz=Ug=Gk+4%In=ZiJL`)X5{qUm*O<I_9#efks
z`JMTQkr<341-%35gvHPtr5VO&5o2Z?1RjAa9@P<C3M5ROV5?7I*ds{TVnc6jXZ@lO
zaj#MpS=lHenmsyVEQO2&$>bdL-Ghe?jU?xE6H9|>D=Xbh6so)btmD=OD1FGD>}ZXL
z&Z*q*4|jwL8U7`9+`#a%GpdsRNH3Z9zX`(xBL-sKuiY5!eT0vRK@aS&(`3#$l!Guy
zh#?7aa5;mzZZERWiMbK@3htuls3@C&@`{QCI7Wy;bC`$|3*qmVA<;q1!p`3EWFLKH
zH3tie47NS`FmGwE!e5<*?rJ=92;G#d)}0&T=ge4W9?ZjYfZmmQI8BRY2z&;K?YG?>
z&qUgn$Ri!2Sl;^|pA5-?kwgp-tm}uVEr5X-oCr%rZr!m6KTdcaNWX_=4I7~eiiJcB
z)WPRl-=6vbA&lE`(E`I3i1DEy&H<H(p^)7+-*z25crYI6lqhxs#|cuI)DUvf+#x#{
zG%qIki9$8XhohtF^bvl$One%6^l9`k0R$gZo<w>Itun<RB~MsMNold1!|9H4^54{8
z`F~DyB@)hGtQ-q7v-JJ@X~ZGI+L|5bqImiApOoVA7e;1ElbiA_4Z^G7pGZVkkT@A0
znM4GiM5HAe&btqZvyCP@IekHR8GRUFF^_D>8t*PrAuo@_k5mB?%zgL0$#VSo6<h+w
zKY6@*{aTCq5hQ^**dO!(6A8~aOm~%r9cVHV5)m-~vLupxUUmS720IBNylP-~4b<ya
z*wq++&qgA|6O`}}(Xf*w@xlPU#E{V}*bQ#!&$Xh@aCW|AO%1q?7+L~}4)bFU;&8%H
zgn<ZLaX;7fnr;1ujNMAOR~Se*lF6o_IOD1S-qX+iM%G?cAfz7{0g}R(zccA~<!9yO
z7zw514bYHQHx(kt`ZA#LrsSO^#>M7^)1l2%tA%K+#h4p{H-7n&I((eyJS0aUGWrG5
z;r(#{No3dyq>T&U1d=1qR%xuJS1)6vjV##$v6fiX{_I4Jl49#GPqB5ryii`rf)kQN
zWlys-a@-M9V~F`2SH?F`uru~@+MpksKBvP-n~lt}nh9|a{7H~LOp0WSw)^)@&>=uf
zSVX}<91je)NpfEPMh7##ADoe|VbEZqr@scr%XFS2a0vqmCeTz1qp&GwcmY-Vc#A9i
zR{D0;6GL%GL`Ovt&x@twb<`P9%$ak>d_<1bLl2*Wx^Gt|H+*-GVx8#@3@qZvsDW3P
zk%YkmDsEZx!;K=u_z7&b8;Q+yM7(5}!+w8fNzD3$F1IC%4v_NgI+LZJ<BqHAw#v&r
ztoWULWTRbO*OO%K-Mbgv;*Hs!2oud&1`0s+^6+CdU|nO0Wg|vlV7gM@jId$YPyQk^
zR(cErAy;mU5R_eXo<e)duQ3N=f+~sXL48%%>FQw%|KQdHIaYMd>BA_+i^i6e{1FyX
z0|FHz2~9a1IW_PSF*wp0E`1#iTt;#Ylus1I+#5C$hPbG^joKVzrI6k9h*0>U)QE!L
zB0J1KO!kDA4`vB_GW(;TgIy168l6;CRiisrhi^Kw4Bx%kSh=yR*i~zIiNc(yoC>-E
zmZ!L5-rS)kY`BahL{)zaPQ{-)>!k7(QXexF&TT9zwy`@IFu_l2n7sO9Y*dCn3OdK(
zCIO0Gnf1GEaB>r2s(ZQm8!NgrBY;XaL_hdgwNUTv^gXn;s%j?hS!{qlmX)<@f*2P}
zNIDHrERLBv!b0(4c4b%n`uo^(;^f~wU&J^hgl1yS$I@8zXkL6LY8@6sE^HApI%Kxo
zGDtps(<>l9upNF}nSM)(T(eC_f2hM9M2sC77W};&ie7^!l}l$gcV!y|Tk}F|8suGD
zoiAY|!7QI*QSj)_5Z2R=ff#<g&U+K~n+A!PM7Dk+f*87j9f?V+*N925tJ47`qU12U
z5$5nwdt*@^*otZ4=<b|`lm*e|7TMwht@TS~11+QxG4kq<$AUwM)&2f-knX~rS8e@T
zD0(X^_Wr}8ZNv?gBo~+Twd_IPqk73=b1KZFG|=JFt9MlsBaJXB$EK_rtw^o*nwfOd
znUgo)va0PAL+3vuiNG=ls)Y7~yk^(ReEPI3^fM;_`z6EIh$un4mI+ZF{QgvI%Cg!Y
zA7k4B4H*C^5iN~wSvHUKAmX(mYBP{99V)TTl9G~g4(=?md>c=6wlD`&F(RE6+0Q4y
zf=a|~WS5kJ3EoD7WKS4i;*iH!kgeeJC8jgwbr~a38g=E%5p!3i#y7m}-{|1W{d@UM
zrSTvJ5?*Gm?MT*}H&VpWgK3JrO%g$2u9k07Hg}o8Yf&y&%LG@ayotfKM1u~RSBOx2
zFr@=W%w)2?0n@b(V|`=@FEIw$6mQQdX?ngfEG!#A<q?D4$LGi0pFWK@T_JEMwisb6
zExLB+MGJDp<jZ31R%Io^i;Fv%3K4V|hGw>mF?8*;qWkF_;>Y$6Jeyr^|ET<J0Jw~4
z&EzIDBVk(A2##UDKQU$kL<7-`mjZui0yJlLPtO;CDd-|4u9vW$!)t^c>R;!GISwr7
z0>q|1&82Rlb@)*vOu?h*t5_V>SWB><$P<Bs3sg5TAs8@A-KK97rc7KzMq_QH&$c)M
z1MniQZ4Rh05orLq1i78)yd<JHenHGeIM^Z$a~&*)AD0SZb?yrxi(wKaFVXWf(vg#T
zS5xyKEp0OTglobDH87m`N87hHPi0m@+sDV1hNUf~WYvyHSSS)PgSj5A^`dLWFN*ga
zrFdCxTF^By@&#%5eqd^Z?01>)_U4U<+PLdr$YVtREu(n>65^`1v4#b2Kw~Fx;>q{T
z5BCJu3>0}7BZZ^(1$TYhlS-uW*MwqR)tjTOpVMRldV3rcaz1_(1(hSxP@cMektSf*
z-xy?p<p^NFOo^pso%|TC+QCX2ZCyNxp;g?OoT9Hfwf(~?eTNBMYO(9PCkE}8;;kIw
zs(z>d<jp%jHFc;n-V`=p+?J;^yZqnSd(WsS)2&;y5VI)SiditAq9jE@$=aqaK$7HC
z27-csk~6fi+k}<`$*AP0<czkhNJgTh0+pOILJ`h<O8X1<+<ng(=Z-t>_v2&i9^1B|
zc;6?iFxOmjJ$m?DC{mTt>vaF?&TSF5EpYs5z<noL-_5vE5h>aYxSQm}_n=!Ql4#31
zF{31K;A_#l0re7tkhkKLg)fVohO(M15GZ&3zJ!|uq{vCoSZiC)!#dn?UF7`2Q5{Ac
z?APpDgp?fgSxvMaPA<Oq>JE5XS5TWk@Y;UIl0rG8Mt$Qv&?IgPz0dR}tNRQ{qlmEk
zvCQS_N1!i|>OLZ8Got5_mW$4WZO}SKZQXEd-R3T25u`8G78h<X-FL<E<tZ26FCSbv
zY~a|=Ro_3M?6YjUg5R7bU;%!_#0VMayoeqzg9U6fM<KLVqEa_`yZ_I<!4=4KQb7Dl
zE@mMOp$$^#$R#!tH1JD00f16Gr6-;tMiB+&qpIPyBjSfWO2KhvYLaXA{lf(Sc!yv{
zgyRGfIHIX((^0ai89Y)F9Yqx{Tpgjn=>QKI3y&&KC$jG=w}@TFEj5w}CqmSs<_(9T
z+<gqriYU(^#^;BYm%i~2q~Ta9^lm^n@jwuG)~xCP2eB?7rbbL!tgHb~j@%Y7nTgsJ
znsdPN2xVhmOf;_`z9^n+&!*<LG<i!Pn3(nw($ceZ;qzD!A{u}A;@?YC0SFQvJ44_{
z&i-aUQTap4a2vU{=JqPtX(r)iR)IP<k*V1Iwqps$#_io-KOZI{v-Rz)ou^QaeHM{!
zC8}__RfzZ|6t~>@5+t;32vT_tks#8U+KK=C#?@(9h)b6)xt1v@D2yp~wzoS*$}h=>
zaKnLY5Gz<;OLZfb<RDU+RNMf29*O<$MJhC%Vh{0!dFI890^C2paewL9$yD(88Qt(7
zj*-mq-p-)8zU1<pD*WZRB68uvKC7SKyZx#k_Yec=9HSdL3xi`YbU9V%TZUaLCTE8%
zH)9GBd(?k;se1>q-$LfkIkE*38;}8`(QRtfHM?(bFd)n!Z(rZeputZtsc@REKldu?
z^x2E1W*2)OJr{bZ`oerd*%zx*ftMx$I$TdkF;SR<riYG_)bK6fU#&s1NQFxg(b-A5
z>yab)rs(U=T{W-gJb%>({G`cI#cn`FK0G4ca)5&<vJw42a1c?y3q#YGMurS|#W$Nd
z-i20ymAFHBH*j947!Y~Cb=fQcON}kPQ4j*EJt8y48&5~c<J9tDjRA(yCq1X}DzR6$
zkPkUldWnB7{h}3v!*-Lm)$_TNg$Df9Mqo6qt72ym9r%n4E!FmS4ad@0SEX9&P7|G9
zxY|gKE=eGt)rWPXerj=3C<`M_FU$#MWaC=wNcc(OqQvcLV;e;CKu#4<(xv~7Gz%Vo
z_%<8KL1wd2fxv#(x@s7oBID7Z9oc$9#LW@jYFRJhkpusnxHnw8qdbnF6-zSbhA`5;
zvDjQhM@!CO1z2BtD!<B{ylHcA=^Qkts}aK}`~GCJQGC{@aWY5(xaGxjcs~}O3eE`_
zI<u+v00*gkBB>>?aRlHd)>p>PMbanVal$`XzQK8HJnv8H*5pg?S7o+DVL&?~+0-9@
zL-F9m+Jenzd}P_rzZrUd`rm7Yt+GF>-3ni=GOKaZNxa>Z1j;NK#{eM5r~@2hB7qBy
z<RM1Yo{eBH0$X`PG9C2TkTNYkeKXk2gvthj?!sJ7e(2RdMLLf)nAOoxM-H+3?z=S=
zj?qyJWvNFo>q-tTfA412Fbt{AYyu@=Lcq&L0l~*+*%8|&dkm*nujB@bL;Ac&+KUOE
zO=z%K5I9@7&low@+J(vynMp{9CKlb!psN8N2C2+yN5X}T{^HhTJVFE#scwWu%N^!d
ztQV+2w?*8G7cWFcJ-10lAcVV&Mpn|XNNxbcEfsMz*anMZu+r*!dVP~gF<&!<7O1G?
zK6luvzVF$kb@yg#Q@+u-3KC<=soU%9&Poo{M9VE;5MT#g=$eKXS(}|9g3$}oQ*BR8
zL0pEgMQdFegd+$i?XX4D(OKx@`j&RgZ?J%sOGKbTrIV2dwAmg_^8FVtUL@5JSZhGQ
z@+8tIwRC$4+@l*ks>9B*$k*PFc^uih_Y9HkATZWo4#Hs4&WbB3;%v{_;p(N(e0q&E
z=ef9b$HxO4`DvmYCrA{5XxaP8ljpEr-&1D+KjeNHKukmguf5D<k#qlSrpG4|hmk*V
zefP(YAD7xLbBm5Lh?QRThC_42)^d7d4jPDt?_?7VMQpG)22{+?w#*X~F2wwiUvQB&
zXu1s=7nY>B0*u*B1r#=BCW*jx$B8??(cPGhEj}ykT}d|pa4dekIdoiuHL1cl=wgY{
zAOz+^2cA&+!0i<qATqKJlROahEpOCAHi`qo?bx;^#Pb69wbS+GZV`wPNaLa$h9p3J
zRajE!wQQ<ES^I|}f&Kd{@mMyH@Zl2^(}3uq|G`UlmakYr1RTlv1_i)vu<jdChaCHK
zrUo)qAXLU8geF|jmhoxH_0gL;m6!MFd2x3VWqr~{3aykq7(_u_cGEQad_I9;ScA?8
z0wN*hg965>aBh<WGtx(Vf9V<@7_<vGVhKV(1@b0dgqBo<9E=b$Rv|k9P$D8&zyh-P
zhXy)?X=7SE38s+}EUAvT>sS6sKDsMQ*!AHet68=2Q3glEWUJt;2hsdMlHr&8!@ik%
zq0z|{4jtGX#2r%?nC`+%47_avw8gP7M6y@T9Ab5DBxs?7i}%@MqW_Cs_BiIGT!9#l
zQ3r0KE_^sq9r5z>i$=X;FbP!=;$@I*B2e$GetCv7#Jn8Y6!Zgt<(%}JBDFKDIToa-
zgqCR)PRO(PNmpe5?T^g1V-LbV3`x1q5pHw}0=K~&m_{;s!3igW2xVG7XfJX?=zkc|
zmB=W8fN^E_NlWYJ&y6SY>nG-4da~Gg)lKmY!LRi?A-{^_=BwQSvh&QG`~0N)kEbAJ
z0*^q{C`gUQ+pT17X<L&TZ$+<kMZX+viDG1O$?MT3ehh1g0X7B}w?J|~WCsX{NEC>H
zRC)oiq;-o)R~gHm5e|RR%dq}u!3D73vk3Qds{mLX%ywj5Fw;PU6>{`}oYAt-hD{hq
zz}t<%9Z_RqaP;210OrVPJl^jP+ywI%vJkALLO%<^GqhMh>pnxWBHY(%G?oU*y62VH
z5!f&6eoN2zZj{4_k}E8k&9{d~e6+>D@r~C`#%7CF!o8~L>BZ6MzW|8VuhX-Bh`Q|9
zecH@lDLU)~!R~L))+Drk1PQs%RUny<o2()9_XrX48ygLo*TZRj0<aK$r$2`2oKun}
z+6e)}2llTk5kLG*?*X^84yW|kV}Sene<YfKj(xN{348+})COZgkWS)FdVgf*kjo~s
ziw@ik{na=);8^11v9xU9i|uyVxokba)nLtXWo4Q5<-F7omytgaF?xe83Y;Y>D(W`~
zA1_+8s3F<J(+%qC&Ub^NuLh`&V+Zy=?v0EInKV9_yTlTPGX)2ih(aI9o_c)$!2`9E
zC%u~jgbX>}E&aaMSZ{MdtzLM+LC|(kl)Wt$(Bw;7DZ84BYj^gda>wp1VJA<X)S3We
zNiM(qRo`pd^|9NlMYYsyY*McJ9_<`>wvkKYlJplcjfK7_L@B)G<(X5bZZ|vIRlA@=
z$BPUQkchIA+7>Q$^>gdCq%T%>gA76H@yQ#KIMzfH9OZ5zDuY0qVMMy;U`E<)Bv|4p
zn4)3ibR9pSk3gEZOrnm?FD90z&{*s%jFR(~BMBwUmq3x6ZzdtaByb+X2$ugG*tG;^
za)m|(;fQ0D4!2GG??=JRo&!F@FCwCf5S4Fjn0;^US*QnMGL(@r^D-bu9|7&J(lU4$
zg2)q>h&|{*n|(D>r<)B0;R~Hsl}c<t@69KoL?Hi&Hj9}FT}tlLPbVk4x-PHWCZUFw
zkbKfnPtt4DH<oq{)9z_^?qS^~DJfe`o6*zd%4^9?3Apw4ARaERa4a4!ZElm8uUT?d
z$V=}pgX8D6l{+Utn@cdkKqrED@OGo`2sz{t=M6gmt*#NXTrVx`f9Hai<BPXaVgU~?
z>7I&nxq6@DrpFNq9PtlY7(m-%PFb@Bv2K)JAtBz@mCD$*KGbiooj$c@XfdCJgwCBs
zG)ws<3s&9Tb<4X|j_ekdgl9KRJJIR-#O7dYd>n{iRQhCZRo-_egTqjzB3gx$lPKR1
zWh4}Mxbo`qpeM}QGAyLg0zdp-qJvIq)=+`7K^@DtegJhXZ{Aq|O#+8n4t?kW4}!KQ
zWh4sVE4rX#A)wj?$%ctl$JZ#t|2}lf9u|3`UY;NY1dGJ|pZ1s>2CLvZM=`fk*N%r<
z#Z_UrRG`Y^J<GGMOZ;%JUJkm_d~?OWpznXs+6`_q729BW_e8Rvt;K>|277Zt5;*<4
zsia?@ki_fKxS|I-FB^S#o>eOtWe7yf?<JymmT#De?z8d)>a5RR8V$lcsshNL&Vk^K
zXaM)OYDrpNB^k6)`Tq6gj6?B`SH*Pw4!ZwD1UMqk%{8CfRQX=XqdY`{3sL&|O`E!1
z4=LlzoF<#~i-X0&o%%D(zRbc{?~R?-j?zmjfc5V#*zE+tKeIV4L(M<1bn>UTTFysC
zfJ-+%$L<KY=#^9XDl_=XyJ4;6ex2^i-1A0IZZfB4wbfPeZ}v?(tR$R=T6?YYy9}O@
z2Zu6YtF4NOrzbP15}{k{cWvn7lU<C&C-bjNzWhtnnD(Dh;|*#RRnTP#8GZTU1sP=4
z-;{X{=+>y)Qf00M;&+XMkf!SBrR4#VVg}OC5lDr3WEeFrz4gzb-)~0bvqVk3NIeDS
zRe_{sq^1xS7Pj2E%Rtdq_6+~KmflE-V3@2~*FjJBnM<e$s?kYCi+rK7PoL#BlwYn}
zr#GW`8X&cDzeC#OSW)}~LZ;6$e09$0fkOG?RkAiL?D@oo^3r>5-@j#wf8w-s+pV8-
z&J`U&WTXkgD2GmGiw`o8ma}RMoSx@tb-rOvlM0f;5tghn9rukq=e2j~NPA3d!g5m{
zKtx<ZqYKZeH*0TyY<;;lGpZzAc>lCmQ@hjL;^H{#wO!-fU3T8;`EIVHJi1xL@DJj{
z2?$17kAYK-H(8f^XRhBL`=9PL_Yg{CYN$t5lBrr4?9qcLycRW$GYDLIu}KmTGuln&
z7=oGN55q#ub1s^GmpmK3Ae?9V2gYrg42+v={Nw1Yjo5<yYnL*oAw!^?*^eqHWJU$4
zq#74?|7}ud?5yleQT~`KpKZ@CE!87q3PR125}$Qu+v{7xov2G1-}bArJ>M(9{F0Gj
zyrONZzpYS=MA*tZ|LorkX<EQcj(xJSG-OLvfK~~72)zV#q6-6I%vsY!yq@}V)&@$q
z!qZ2S@eBQK`pU|o=u+oHkpO|4X;a4Vzr7TAsMIVQ%DGL!40|ru-A%p_*;B+f(S;bi
z`;>n`=A|kB5;Aw~`oDq9$L~g#m6Vh$uS5Evbfe*Jr`dN|<kfB4l3t<|biDti$c*&e
z8dsrT-~O|8zk_V50YsH#*Q9?0Tj7JCa?ov3GQVNj-QE}El`dQckpW*fssYzhmuKy5
z$e*9Jq^hDO#h?2SH3b+rOc#(ERe1C5IFLq7`e6c~AHB9cR15}(4DlfIaR_irn;Y3c
ztwh++Zau4Ok@-Hm9Nx=UHyDyD$fM;{{jwVaRAOZj)9<Fbe}Bj0GSMLgJwX}73851Q
zp`JbXEG(S#SU=?@6s1&C{fje>Pro~_ie>8Ey7AABNdZLX-}h>V447!Usl<lPnjYGk
zaKFca5kT@EG_e3fTmJn=)*IUml0n#@Wzkx`@`<^HIhF4zmyt@)!vMBl!5>hn(715n
zxqZ-IfBj01CrW*}<zo01y}4JMU@THDe|jNuLT25%b$l2i0qmv*(eD1Z_oH0%P!B4_
zSSz{>8d<0HjvPFwLL~IV?iXCc+96X%VTO$E%ChN3?s*YPB;DwvJ(OEpWLg>a=k(-Y
z;)@qMA;^0I8WLWJPax}q@-j;SC)X3(bp>LFj6|0WTwL9j?#uw<7pRp0;BPR_7)@D|
zHTlkpvw&pl=;*vLfA-T4l)W2$=mC(YuJeEh87W036TqFzG6IA_B_lCDy2&1^&CSpf
zO8wpR)lS<=4VM0L!R{u6l3&)JWo6IGFUf<^G5n}<xwC}Ehb25N+o^1emXMksp@R?y
z1<y&QO!Dicql(A~_6sMK7);y>GjQ$~B`6b@g?n`3ZfB>}c?kOGVaV<H_UwuHYaB{E
zXAxH_A%q%RWvikCv?=%7TYvpnS!jSr6OfNwL@=aujqA}xl}Pm15iD~(y6z&5tk<b0
zI&uvCWWKs$7_enps{7;E&wR0w$UQQ?+{^E0IKtaa6zPyxML<}H%y|Jm0OX#KUdZ4G
z5)Q*)#=Yu*pt-NJezsnKYH6O({#X)QUigEBMNw{GKn4+}-;YBDa>LT7hnNJ0krUC#
zsi#SCY;po573fkB9lSZjMm<C>3Mewj?I=ro`}@bBf#*1xFo<L0GBI|D<HY|LB?2<#
zE;dZV9le`m0tGmWbyzv!?B)b0I9*1segg)sknmuU+tXN5(IE3bgx!W$5I*LYYlu_a
zrhz?;;UE8zjr)sRthJguUu5|?{s=7;=_E@*_(Tv23>O&Bd7h3FYjf};v}-cC-M(MY
zN9_*lOZ4QBF}{RBB~5_s7CY@T#lnX&gkq*0E!V%(pZ@qQ37ui;YHI6xL=>K&$M4;N
zHcSe^&nWw@)sSK@$CR1>Sd4JK{I81<{>;1igl-uFdC0K)v=hq>oA|$Xu<!t3Dwq$P
z-$S~UMgA|vh^)U?I(g2XNo$cYa9wnJO<jtkYX5g--!JLNXDtVl{wYRGe6?KXY7Ba2
zwAYH220j-&Mf-V1F?-S!;>s8Y`JA-W=ck7tKjU^8IzEf^NiE-PRv~&>O(ZHjI;h-(
z7SVf1Dp3)YwWmJ_5eG>Y7M4o+5*Hyg*!^RGm&Y>XiHaoJTDwQ#alUIbNH@W#If9+#
zXsNic_cQ93m=-B`_npcBBvoFa8I2nA>dan`)|#+R*VIKhNVoB-`F)%$Bd&olZ$vc%
z(^H8z8#QYLeBKQy4S-(89}BE*S%T<WP0~@QGB{bDREG=0oHz%|dy|MhNrOk+X}~aK
z+$jPquqstE6KmLqJh_4=Rk>JHO$f?3wf?>Yn2RuA4g~r76F&_t`Ri(Qus+;$D5A14
zquD}w;`1diQ)+>q#J-YP_znRzZei9$gBjPRP5a&*AdMhUVmM2ftzaS%5u4j_d6*ob
zhi2qP_8G*~E42lWWkhwCJA3{Sb9oHbhNy|+NUL#`valrOU4S{^i{2!fbG)m7`HYR)
z`79jpBq2eQESB`LL#|61XO=(|v*q(Mo@Bb}$iZaj%K_zzT()*k7pju0t_U7G`s%My
zgP0p0b*xHE>6U>Alwm+*al*J=oKjxuiVZ?)$i5(IBZLN6G9?ws>f!94ZFyBG=mkzT
zt|<vv3K6JMaA!dwTq-F#<v4f&pe3wi4X~))REQ>!DIA9lKRy<@q|$`4mOsQw$iNrG
zLPVO6%#*=@TcMv-9uP5J89BX?gxejofz;OSC7Ub|gaBS8v<6}?QQ!Ls>Eje!C?4}5
z>R^+Kn5WjzDPfV`C@Fm&jG+yK$0kwsdZzym?tDuSP&o!B)Jl?2d(ftv?XLWi9N@`}
zZX9+0|NMQpA0eZtHs@9W;$?JKz8%CnlnDKUE&t`y&1Q)X-`pzjY8l<Yot=Qu$@B-6
zm6y-wZ4BuC2Mj;<nN%u>_XTBw9tMvJD2ht22F%4$Fytiw5s5W<iMkZS9HX%ef0SfA
zOxu!<C|_t|C*=wbT{Tv1;4<)QQj!Bkw1bL<`;o;tDC<>1#%wngB@+^c0wT;gp2#ar
zbh3UFsiIC>=myGNjH_}i$e4i|LpAvnY|Er#{%DzG55&NEyAdN-LL@sB&I5X|<&rHg
z!FbQYP^h2ptbBIoPKEgm$wl6I!hqg245w)=u<<dWp>H~qkgIo-pclQ)&v9rRIytw9
zDUk4s;1sOd(J@iH_A;QSyTDA;()V`B+051Mymi;R1BA(likku%UJ7<S8mYCuOtWtH
zeQ}p#X|nn2d-m^tFFL0lt<kUS3(*GUUq@ykycGc$==Q}r@|_<04cBd;?tOGC>p{`=
z>=XK^fE-W0okih9e=t6pMNMUW;;RRbm*fzX60Co3)Zzeq-O2i=wuS%5@rg7~LH(o$
z5Ns{7pc5+pR3@|xV0|pob)kMmMk<2J#UELvZR`lr7>cU5diMWwG6WKf*cqT&khzp~
zB=$tO7}YdFNSyGZm_^rbxbd|5KRjj1g_m**3~;+pedGt$hxs8FZuf%np$Jqh;odK-
z$3{)4&(G;;D$cG3RM#|cyKRu6_%5?wvT}16lnQ@EFO;O`wI9?|3T43t8%_r93bE7G
zBq>3n=A~VWd6-~2sz7*&RET*opx1kg`#(R^njgA=0Z6eIjuafakuqq!5r7wxHO~>v
z3w14E)s^r(d5gG)2#u9-Egc9iVK)Ij5C-$yU-h4*480if;4L&2NEZesZ~XpmPZmQ}
zX0rt5xtj{Ol>DeS0uCYltS;0e)X+n=ZxL&~&vX5l1Evb+UMvWB=NTC*9ugJBH`}&X
z_7hqz#=)CM6`Oe##w!+~86m&;UHD~|OJQXVnX3(<2`G!Kj0pn#SB&|C=*QTjZXE2d
zw}oQ1Y=3Jrx|=5kTM{u3gde~OoiHXznGp$k4WK;;Q9jx{T)=u`kC+KWU%e;`l4!I@
z5It!uwm}HOS&|8$nxYJOIC7ywj_f(YaRPPlY9tP+SL>5JdRIi;>1m4=)Cw-pU0c)E
zK+%$~IB{4H15gPLgwTL+CsBEq2f!dm0!3opNFqjndT1Yo%3NX9=RzZ3Udc=rOdDNc
z3t61M#tF^mW4~Q7{s$lxP$?M&!+Qli)zjGaKI?2OYZNXfDRWoM>n_n@r-XJKG~z(P
z^1*{@P)uVWZb@jC<ayOK^><S-nD80Sd?XB=&(ylduUJQ8wGfd*Bj1Oj$&(8kxe`p0
zUFQ=sE^I_?2ud*T$gIZS2oI{mS`xPzz%z-t;Wv-hY`(m*W;aMsxHhPY?TBZm#Jx%J
zNKfIJ?K*?U3Irk>fr>AHw(3qNq>KKLzynyU&V{-rzLd?;Ot77rh2k}PLmui7^e~VP
zG(YbsN-o2QBKC&6n?zkO!-~KWz`P^C8YI)`z*we(nAC6Wife_E$tm+QJ^ye4Vi5V^
zpFAY<HNZbe2#<_tBJ=F2OG6rI@xUE%SO`6aF4VypUa)NrM9Uj)dUR3?gsL_QdR<89
zi9j)YSPZENVDB&mnJ@k9_Efev;UG@*Uf6gCE6JKY2AIAM{7kRFz&?F9pc#aL2O<nf
zU@Ah6v5xxc<wOAohR6%SGvW*NdN&eDLr5OSK*QN&AL0`lU`WE&Cj3$GDo@XQ=1O`d
z$0iIG%x4|)D->C_aP9Y`WlPz9UtRl3bgAm^>-Kw{dd(NEv7E-HIdf5K|NEUc?j2(j
zq{X~gcaj<|z-GASv0&dHZuOelsuO)rse7!;2R&zuH-9vw*IRXRly`nR=&3MJ&*-!s
zoDH<5Sr2q#iewv<<jb!_2Km_5YVQRqUg7L>#muaj+qv&a{%m7@DQ2&DA?uCE%oKN@
zt_m5s$uqMZNwHBRo2kjAAv=40dEu7Y+KJ%ncYX6Tm6ax9^_fSr@~28Ilin`g(uP4_
zWHel0M@L5!wB75GPFZ7Wnq8JV|G6!1in{7N?5~_Xdse*f)w>bQ%IgGqr5yZ_&(|+O
z7ignw$oIeZYN!(;Lxl+`MDP~k%C>y7B?4SjIv}WTgPVT+GP_EmE0nhoxmxo#^YO4d
zD}*w(cLrK3rZrg=D}=~M<0k)>s#A)RuQm89Cg2*@U-Fa|!61f5Mix*l1^Odh51PU#
z#+Di4zea1sLhZW{PVb4O%eO81t4v;}48)m%U8kV34uX>x>4xB`Y`e5-!>K1qZX-`~
z8xkiaM?UVd1}xr*F@@xp;dG3kXt9%Oh0AS%Yrk#OE>g_H`*qO*M!0#-@CR`m(L<oR
z;TZ*Q5a>*<AMd6_f50P~*H|oe<VYvftBYX`gL%cf!=7dZx?}7Vl@1Iyv9Yn|%1Xp2
z#dWA4!FKJzwkc!CjW5R*F#&J6-Ldg$I*%lJqGlTNXLbDp0!9g=_EIL2-vd-D=%E<h
z7fk!@#EBF8z2#7s^%qS0yc3Y5U9Hxohu$%-_x74{M*D7fHfe)#2(R9)DkjSums+b6
zt+sy?ocN=oU;l8KNDetmC+k)$ko=;7qM>ot`3VwZLvZ7YV1oQX>f@iEPMp^%CS;J%
zGsrU-yoF%IXZ+>pi4S-*tkK)sTUA}{mCwx1mj^oq6UO`zGDQ}*%Z@zp<n7jf)7ZS(
zB7b&5Ew)C%Ph>aRDh6$W?rydEjot?CT)#uy?4Bzmk9XEHbB~MFSDNgdRm6;VMIM@y
z!X=M6k@Is3qz35H&QFWB-9(O%IY>oXbVI1z@r$}M9b)BMKKA{w>(NJ0t1|vF0$v)x
zJN1rduHvSgv&IQ#O)>)Gug(@r)5esXDNLLV8v%Q8+ajMo-$9$M^c8U&X`AVEpECjf
z$-ABLCZ69lGl4Ns$BajZN01D|?bLOMrFxnz)Oy0UmUQ17(@srE;iYcgyjkPuAQbCI
zu?QQ44FXY?7XqEo87C>E?Oe!o^>WLkn!JbLA5LU225N_Z4DF@H)b#v#6kT0iy3I@g
zFVA$v-4W!u9fNZNgI0(dI;%qFY{WjFzj;_xv_0&pViD$vXI6?%wr4qI(*`wZw3hB~
z{E~SGj#;u;-l4t?mOB{@4OxFV`f^*R=H<x*Tuq{qnzeC|ZEc}wo!(PW4fBfI8`BS>
zXw6-R?Py3mNkl<ftWUfub0c-0e3N<<nS~*!c?G2R$C&JLSQdCf5~7ICxa6`T07U@+
z4lZC~OtI~_T|Q;;k4~epO0mYPPk9|XgY2DBW{}rezvt5ArOIHsfC=Pti-RVSNGZ~<
zLikX+K|{&(^M$+H=)5rBy~ERx=kzg8Zx+K;fveoEW1sY{y<J2smVMr6kbiuv@WhJH
zT2_lvg*-OGj6T-0zZ|AP8Y!AN#`Xj~3QavkCcn}R@!JQ6)3S6=Fwde$I#wwK0M9ik
z9`)5j)DcX(A8X7y?a3X)3qd`D$l~z=xA-`&n#He@etx=Sf66&}8_G)OJnK}V)kdIO
zev~@mo#<ke`A#~;@}=woMtjWxV8nqityCYqcoz(c%`@R>_3`nM0{AK38<$MvS?#3U
zK5Q~+gCKo5f{}*nr>?<%5TglIRS9YmsA`F7=F-}lO!cz-@9%{rAWJ)-Nz+m>r|`?a
zA+_<`6j+75R7^eWF^D(8Ad=Eml6{ZCCu^6T`z9+9)QKEGj@}2&(A)+Md$aEyNAmrM
zVe^x9cas_QD>qE7(U1>UrG~2(Vk?p{^1TD+M-HdAKm-H;n^m$iLoUEM6@S=_p5ESM
zw99k=<toLr)e-l(@_Fs(ET^P|{CQ@+5<L(z^{!mKT7oIBm7hO<4?cLuIf>?a!N`<d
zYZHrx(-lq*4UVTHnY~#OBAc(-Ynp#!!i>h$L7ieO_zJieg(o<ry|&qX-hoyP<HWS8
z=FKoyWire@DHu-iFSpi;AUdzEt1|)kNo+DYUFeu^z1@Av*S-FAFtCB6I4{MrGw)>E
zcJWO8hNnJ+z32lTM}!ea;cX(LqpyUU_7r9jM?vye@m3G^qz{|T!s6ov<KyG^-FtB<
zIJggM?FSQgI=sT#rWm-okN6v(8WfvVqt#U7HAazi*JcGCH$s9<rKhE(l>~|>f2iT$
zwzajLs<<oTWmp(=6Ci~Cw|h<zRy`ZeIWos}d{rcBcIDCgD%1DY#Qut9)xbCmUirMQ
zCJ$2csy=^yR->USNKHEb_J)D`vxM74IpWbSqkrJX<Z7zi0^?E#Mob)LYpQ39eKqut
z-~4Ty>APo_W~}X|=2}=(;9`3>1$OosRk#i4I?ffUxjCrD7i;gUNfwq5zoG`$RkgP_
z8=L^^isMV#;X`a!!R^avcQW<errO14hTd7DD&LVf*ONGHw1whzpPzJvgmU)f&(Cd=
zw7aS(-tOg=xjdQgUZBfJp|)l2xP-;3#grdg%MQgTaa83-;T+mA^r?SzTo&9;M}%|M
zxP9RXWd)8DpKGLh+e5|*_u2@*s|*NdyNtf2$~y6mXP1)50R%I4pvsnA+2VvLtFFYc
z9v@635}7W!aB*a2S4iRpj}hxdtj@(_)MY<fSLEbaSAwFf`h)T1LI34P=cAX`j}D&D
zu%G>lyG6rlL7<}?a9GEqb4dLAXsXbq_QR{<Z5L50%ve7>UAFnsxjx(T@v-2Saj;q>
zb2T(IeNm>U0aNq)8&*?gg&Cgb#NEv!NS;NHXtVGfzI{I$D*sO&Yc~>UeEt9Q5qGMy
zJn~f6odPQ3ji5jbrGWFqc^^J<#01v3I65*|rx&k^uj!`HWez+5mB@uJmNJOfFjHnV
z7aW`4a+uB1)zuZGGcWXdi|bx}eF_xw+kw!LPZeU(c|uz_{5|Z!kSPa)wPko7Q`mFw
z)UZBxO!j|T#g+a$HcwX~gAIAXClQo}17chX5A~jFJW(#34sqhztOv)bjT7;5;g!SA
z`uh4;8q;i}XV15b9zGnFaI4(W)pgd{O}Mw$Zu@4DHh0BKa*b*CH&^NOZkCIA{raG{
zQ1IxB*9Y%wUXZ?7h=lX$FL@z81D0DhZ)R9Ca6+CfbC4WHJx8*}G_~pqhBg|Dp$|=6
zPh~y^F_EaLT72<Fub!Ts6m!|=#6)59#<G}L`A%sLeG)I-@fj1htgEPaeCN&`9p8g|
zqGDnZAVJj{+32dI7#YXk=ZlVrh^V&zv^S;nN>QJ>R{41mC=;v6F<Msf$mG=S9`kG0
zcUVBFP<)fU+-2|yb0oXYAjWo6_-NghN5z`y!CJi{6pB{SSCctfhg)ZFs?bZX+Ke$D
z9bXEC<JScY#jVbLuZw5prxtIy`WU@u_GYf7_tzW0y-53|FJaOB^>*3uOYY$bc&R_a
zR#UywR=6{fi+}&YOGUJSoW@j7rCeZe%K{s7P|39Q{*rl)Z~>H9dAfi>&QSnEao11X
zET}YZY-sR5b$@+L#tZJt774bC!cp75p_bLPc6mVyx0!{7Vvo=K!RK19wx7B`(f?;~
zU}IVclR^>j^hjSzm>Ry4=4d2sUe(vo(BP!~X$j%E$!~d-2K@pRFFT&aFS4?-9&w5r
ztt#g~wdUmlyB0L@(tnZZT)A@P;4+8e>8x#kY~Hd(z9r4uXZ`GPPDEQa&3jW)G6Jq~
z3gVYW)8?*;c;8-;YvCNVcb1p~tu>vwtRuJkUtT)XiYCMO@bKMtx7leG%r_3I&O_|G
zE%fH99)}sYkn#eViP!1|EH?fz8aej#l+@Jtq2U*NKk^m|W!AJ}VGb6nm{fwuR^dxy
z)6Z`8|Jf@2%P0BYH*Ej?5&v%F|9dU|tE~lbyI!RLm@2EQtK*GuW0}$ZZ_R;yX<vFM
zYN~%avAU+l+l^;&3=&GOH1p2dx=5YgopMpp(fc0mb}8fcmMa)Ud+k|-O)FzJ>G@bR
zqEO;J;-FitDH2(G%B$KmHr{7iX!=%Khqzz*^4?7fB#JMJs_~V~H75*$6GqbZY?Q@f
zY?epVV{6o6o9`QENy^G2(M(B8gD2sJ5g+`X8^=7bT7AFwqcp*LFH+2P*PV)&=L<)G
zrz+El*lyd~OMcAM-=km&ZEfZA9#q%X`n<otp$@i>?@}rI->_Zh`oGSq)uc&7r26a0
z#)<pETiKCsH*k7WC^!G~NDn})>jiUZYv!lw*1DCVqpN$!(m*_slXwmK?hA_AlNYwf
z#K!i1e_T~ttI?1auNE5}=OD(2ggx5##hOu3QL$#oCzG~?m_5maKP=46OVL$irl&Hg
z-cer1Gp39XzRvYm>*UuToi0;lQ)g;p1+-di8&61!FGdpR!F8R%a>oA~!P0-<qyK96
z=)ZU5|ILn6Ki1h$QAeU&%*osjZV=75EYJ_7TO(xTWd!}4o}Sk6WfgxaOctxZVS+{8
z4iHEoRj1#fkAS9NLI$I`p&dv;34%s5tsTU*A8Xlk_{8CoAju<pgKSh|YD{Iuqm|lG
zl`bKW3Q0@1n5U?KUXdAST_&C?#OhEFEk`sw30Uha0xm=pp6vvef{jFunS??!0aN4<
zP@`fSOjMd{!&w;f*q_JO46Q%)1h9bw)e6;Jp+l}1#ZFMxr@T;9uG=5a3dlqAIqrGb
z1BBGhxORbVh;Fw*n_v={Q?1bKoS2kF9-J~=6}r>`T~|T8g&;7VBY=?<APUF`qWMb8
z$d*+#8H?PJDikV=PSU-F^S3gBHp#d+&<SV?2u9apbs#Tosz?+0LuA$5+~B+n<Oyuk
zd(19h?y8*;fC3RoY~yQ<#^eyAcf-5^Q{0x%iBT~r=92jdLP3)UY>Yrdxx)9wI&ZAk
z?!cHCJ5|4VekLdjA#?F1<}vj!|EW}=7h&jl^~(}sDAhRbs>)&6_=lUli=x`oF>-f}
z_ABx?TcLY1cYtpJqqeq|mxT4clI4{=)7TPUo&|$I++gq(Bez|9!v?gXPs24J{@|X`
z#`X4Qo9JgxyGJ#eOIN7v_pTg#cTBw_&Ai!^sb*q<SX(agdc19=a%E=@-a-EgEuCE-
zJ0s4{ShFkXa<;yi{^@<9kG6WV9!@1TT)lDPw{L%}iMIKaX8uyv>wQDo87C_aEynG=
z6iWZ%Q*R^<Khm2o^W058WNvQ0EnnF6eR<5a&k?#Eug<2USAOB*ga~1T_`i6ty%4!*
zcsgk8CP^Y{9%{=sPCT6+KT?@Sp|F3%&VkD~&Ra+@yCz3~aU-Xa;6LMrmWSYUIAvA=
zb`$}u!mTDg1pd1Oa@HDCQIv8MY{hRDZ8nR0VpzztzTxib=aWceBp8Eeh$sV5!A$Q{
zs|t?7aOx*4V@be~#1C96xiNOL5QAsw0#hdpt&@cxPI@D`d9YPngo^1)mDl4UCke0&
zseWE<t5r3Xm8#$FE%t<$w&mDX+tk$5zG%5kIiRLPS3kevEkvW3L|(h59mvE9w#z7Q
zC`YhoASCiq!F-5sf0W3?*b!bTNx8TZEJ-zQAO$@?<j_gS*|h3RFE^R?N$Z!CcSmt#
zxp|{fig}C9wC=8kG)qC(oVqkuv+n0HF*Px1{U;jI<^^1XL(SPdIO*z=8pmZfNjupT
zIB1|Jyvrt-z(-V|?%8qw@kSutm}qgI=Pg8S+1D=*8I2xBRf4K-*J$ot%i>p6(6EsK
zy!iR^0I9&rdZc&#J=eB(d^sp_0WCR~ga|+(@aRDZ&e=WWXXW=@TW((DU>FuYtOag4
z*yeRku@K|Qo?wRISLrHD-hJmX8qgA_V#~Uku9nCls08uSvnt%3*%K2h0(yH6V82bM
z0;1d+;_`KENY_}08SC4PM57ikc)`|IAZ389w$&=BLabjJN?YlF@CQ&LbNL?}<iEHh
zG5sxm1z!Npk|7KOl3OL0@mShf^xhH7%w;mWB_1dEH0<UhndvUxLW$nEr|#2{?lB}K
z1zIQ3V22SRrFD4|shc$qJIqYF&)XBMkhdQDXI-s=eyA63zhMPSm+cLF%<G34wK8bs
zs3m{P>Hhu19J;=wsYy^OZ?l~1ur$SeAk!i{0M{zfx7t)3ug9jc{uUi(Z6Hf1(p?6u
zLyBoL?`hTKLqO3l1d%<EcdBKc>23m&Wy1ASt}j)itFsnT&U>sKva5Q$<7Q+b5o`!U
zl?`3RRD`zi#hVV}Fo7EWgtrhEAkLhr<=nXEQ<^IoFt^Q|0C;ANGS#?mpVGEmef2wz
zH)=w?mm9$Zy4)y3=EyxtYX(xDV$OqmlrGUQ@ib&64Btjh`{hQ$ZPTT+vcLPO2=T9T
z;D5_J2^N<+3TCqe(9uokj*6Gxqy}>_g8noystC9%n>7z*pb8cD(j0)!Ecv&%v<A~{
z=8_go8LWRp9SP44FHn==|JI0jqRWkV#xx+NLZkq3rqSZ{`}Lv;#@FgE-WSB?0Uk`a
zE_$;V=yd?%>%CMowdHQsWT(99QM>no&s6_MpKG(p531w;0`IGE|6jO#i^N2}dnNv&
z{MhiT;KaQpxbPJVi!z)RUr>T=Z>LIu59Wxbl~M4QjiH~Ujrs3ne7Qofl;dstE}?rn
z31~(Niv+4BAbYKjSv)G7tLjn8Pb!n>wQ+X$Nr)G2jCKu@Zf-%9f}fNteS2l$Zbv}J
zOgWRflGn9)f+sAkcSWwFQdKHr!qKK2PS+Y8FA;qAh^d_)=9yRNrOU<2dZyphrj19U
zf^2M&@#T)x_tu+^C<rBY_?sD5hEePB2FZAY@o(HN*MLs6qgAGaom1*DQM>TN0ClKi
z(a(z2^O7PI-p%u{n3!EwT;4Xy#;E<LRMw>m-N>8#_vlC87!7ydtWd=zV|<!*Iw79%
z3|w|szk+mhodnu7Tq)MK0FXnF<ZQi3Mah1zr-~BMRmzE}siGho6ryaH-qcQN8OEsZ
z^;&HS>h`qj>7OIj8F5I|XY0*DYRF9tya|gM(TcG%jqb_~35jE4(r4?O8kbZ^pHgYV
z+Lw_4jCYf`m7&|z9XXFn|8N0{X|)+KRz2n4`p?%j&ZY3(n?b>&Fx=N5tH}`!M==;$
z-SB`R0g&1n_@l7B)46l!=EiCBwtmO-TUJpx49k95@*LGSRuKf4SR^92t$;Z<L17d=
z=pnH=rFaKl#BX~^ke6PoOQVH=l3|33QrUXlt4~n#+5wobW4Ujv+J0hECIE+DO)A_&
z{0%Nl64=;MV-+XJ+m50+sZBF~T3u!`vs^HFhIj!|5(K;XBX%l~lxK;*g)I{SX@3Un
z+%il@_CkeBhWL}x#^`ir<G`~^j|$Nq(HL*;d&)i4HT!LooojUD;FYXeO;-wkCpv_S
z$a-Pl4<J&ojW6DpIw!$!TRoO03vQVync|L-eY`YgLtWChN0P>vV6UCya2<F034+}5
zOXEBOq!N=yb}hg>tq^9-4^E$)ClDM<5h6ar8}C8Q^r9Ph0uidwHUg2BODKy)E)A{v
zwa&oV9H`#NYfo2!Gh45pBvce2w}8YXO@eGSNO6WZG}H~7bq0Y5hoJMl4Fxraxw`pj
z8cfaKa)L)th9s3>Qg=fU<0%4k#Ah7aBo3o}u1I#aN_ICjA!norkA!7hd8FwvuQ=wa
zC!^RzYPO^>j!1~CvJo1hP>_?Z+BRFGnA_Z9XKQ<NvcH~Y-ePeeU7yy|?d+d0uFmu3
z9?@>Xo*EzoPwWE<o+=bMHr?yMJYEqnH--%;GxF8<;hh@xbPpsYM%1X4P)CFH7J~!d
zYTtA{fziJU3^511QhpqY;)paAP-a7EEa}tfE$t5umHmbw5<TVpIrtre+KQ|LsQOqv
z6rO;Log+ozF=pDm7hM@Qx+_j_>Kjjk$0U((H3#Ia>D*xN*HFILqpiwBtk!ZUp6?!j
z`n^=Kdc&uRz9g1^DliqApJZCEsNX-h<oG7q%L-qaF4to;31~@F0+dFLaavll;gjpE
zZI01<QiSIfhy7Uc-un|Sh|*kd{v1E7mR-DjcN%bZV_0k@Iw{%d7WXu=dFcEyH1QOH
zp%m`Acz;UONV+>Sopq{Fnx0_VnIOReRc8;iU|A0{)%{pDn%SA;smC_P4f0s0szw`v
z4Mk0AnsA0ieafqAo?0Vkne5YFT{Gvl+G|*Jxoh`L#*#7bGu)26oKi!_6pwznMI20R
zyO)9cHp^}um333igKoaOH#_!^!KJm+<%J42<PF^>sCOo|UVg0uFdI9)Oy(C(_l%!U
zJ))l|qlVfYQa3Wwu4J2i(~}8ioq2MpSUogR@PCaqSxv-i<8|D7CnnMmin^dS?pA&Y
z3#UjoM76It_w5PhwpTP1HY_ZYWu?$(O!c|tibFs%o<=XJA2$9dZn8z*c)X<%f{?Sw
z6F|pcRo7k@a2LajO5{moiC}m58(Qp$b`d6+f5?GnCw2l-J0ZCf4g6RW_2@)3T`qH3
zt;R=hFBmZ?K8b*UT9}N<Bt)UMx9DRA?prOp8^CZ$hGpR`#BmKGw-Kz=Qczud0PjDt
z{@AXsF1@-R$GHCT%ZFBYpmsRbVo+{EcsI$qxvV<c>TwkkWzEws6==bGg_Ts+Il}u|
zfin|{f+(S0q~8^+OlPO0^0xMezu+4|4Ag0#&(tSg=h4$KWY6s|W+mWoX*%4{T6fCx
zLl63!hDAKlUxIXTp<&P!*>1g*%PKGhrcRM90KeLy9fF7nB#myHU{V&A1qWa>Ib>F#
z1!fy38mQlyZMJIU0$DuF)`_*#@tZYIAJZ>^cPJ$WBNH(;albR8vh&se!kqP$1mo_d
z@x+;*nX--KJU=Cr)%Ai9odDM-+U~n4$66}z@Q}T{>;#cBTMs+9tqOGxD}*AfHF>*)
zCy+2SL}QYiNqhsJe3+2itovRUbP)GRtP4{3z36F1`b(TFaqXx}B@AtB@$D>>cg7UQ
zk?}-#_$nJc*KDw%I~!Z(><X@};Frf8ulDyyzf0KFO}L|(*l@`Ou_$lJk`%%YelU(G
zK<6fav}*#cxvQ$CnVA_qA%An)*q=73I`P_Xba8rd?vH@vR|4Kp2+pcY<|uwDHprk<
z9E0klaD54JA-y4IeSb<4Qxf$Ymu`7l5q5_Z!eKgLDmw9|CB$|Usf8)rkY~hIYmQgT
zxu?yZx0Ec3mvrSWW_f>dRzTsZi+2n0uBt20&8n3#{DhDp0PNxe<hf<=5hiUPpAe9N
zD1mjJk)2i{4)-d#Rv2Pws&{>o_!zVZe8k*omJ>w0;U{LULx=!`P6Xr?fmh#C98yUV
z4o0>lbr+AeO**?@o9PI!>_GXk2$WCFY0tOQc9iqmR}W3R0pF-$*f#m~rGgIBW=g`S
zPes7{*{tdFNKzo({d`wR<=*7ftmToYSA$@Lc>0V88g6F3fgEAgnTrADBQJSo`OM-|
zHS*?X2Th)y6(jb!vZ*Ohav)>Z{N(&x3t^E#*!enu<XqK8T1|g-&}@HS?*~xVroI=*
z29uMIz^N4Cf1{x5_>LG0%+^ob%<bn(92jF0pkepQj(&S^754<0hO4Q5S!fjxS;Dy`
zC8nwV1d5@3|7(Lp1X#@iU;>u`#+6Kn%WJ){!c^Tf5hX)ou+K`+sr(E~I$~@y5!_jk
zGCeV0#9>w`N}7AuBonVfaHOQR93&E(GTZ3#R^ZmOfu&G}o1U+#xuF+!`}a5YeNN}Q
z1NcA|G6I8wy~B8Uzh+Gi&S`Ow33|GzJ`2rLGn~?~Xb5vMk!dF5H?-ectEe@Q5hW-n
zIE6dm#XH5A%=5+BlR^y+Sk4tw(<0jZIIWXs?h6kx6MD#Op9#PIyO^ty1AT+{;xIF4
z+YV!<mZj0T*t)LsmnDm$g_$0lSu~JdF(=s$1TI7K&joO?@^u=pdyiT;VU!d*>v1%m
z^5Q~<Naig%XNPczdhT46^F;pMcL&D25eN`^N?AG#?bWn;WAL#wtpMrSXFec7>~DH+
z8`%*9+anW+ZGx-KL{owlF4=A>2{8$+p&tCAEZa+W@^T#i2D5|C3sOU^Re_KzR+!F<
zv9#CI)9ZEn_r60<;oza`U;hrYsif)~JfG^6ofj{pUuSEa?4L!3kj_fa!Mz{F)pre7
zOwd%9w6%BF{IDnBD*Z0E6CZf@7Kydz_)}dT`rveg%yqHLd?YL;-a>eU?2?oT*}O6Y
z9ZR;^DAU_;BT7#LE-dQdPe!m-nHqjK`#U%#)!kA!c>s%aQuwg&vj&>(m%)G{gvFM*
ziS$f_26SG;JA@14mp>hwUxbjYw%aQ9>mIXyB$YB#g-RXRR~E+x?JX~>rpEdyZ;tJ1
z?f)H784#8uA<U*uR$3>VGxVzkXyHvTR#R^|-5&F9vzI2ojHW|mD_JkJC=kX9Y`GB*
z+!V6doDwPGs_BN93DrFz=6tF9=@&#PLXm-1MavV*uI8(T$8tXDuky)Dayq4PN^;x~
zD+FZp8E^Qk(^Wy*OCuPb@ce0thD$h2Fma(kEbHY-_<?OHM$qd6a+4AMtZN*M`!HET
z+XFC*WNa)tCmwEFVi1Xsmu$Uu3|!+^f4#}dw@9j0FXfLpLn5rh3m66{-6KjmYgKZv
zpbc!`GOXUG>yfRXl?hOju!6=du9Ky(HImYQ_7?}7fxRRr1;kdjr_fFmvc5Zv0rqXU
z?Mg{)a)IjM$TRTnCAiCe=4thNAjR7w7sQe7`4l!e(HP)s&|+&6Qqc_|)S}lN`{#6a
zkW*GZ{|G+9{#J-l?w@Dk4PM@S-p}Vb*TXK;)sTO%%1_h4aW`(hp1;38xyEsS#Vo#y
z#YnmcGUqj+jMf_p0b+vaPNf+;F>4agiPF2Vz->GKy`5+txCqzQ(jF0DQAFzG0@3q7
zeRKBs+4Q-b!UiVSsZR%m264}7x@}w~DF;?h390bJzyiZKix?GoDPY(-ge|Q|Ac9$9
zoyY<8jgCAz3O>)dXf-Q5SKB@Qgs!8n$?#t5qJ5EuKqkP&`YLk7j|j3^5q?p~{8R`t
zB{*E^&R&IQkBODSAHlV392T7=K|YMqV8*?dh-c9LB2Q9>JygO+vZ$%4vXjfQh-LH*
zBCcVD1fcCzI$Qi&3&TR5CzdvAO5d%S7l#bGxuNCvFxiH=o0WDPF1g+8U6~VaRE9nu
znsv+xH$y0Rh5*LIW8+L}7aSb}fI$L>(ZTt-LF!2GmRBnc;X$o|5+$~SwOC9LQ8X6b
zCtNWYz)nNhlR=G)#yV0a07NK2CYTmvo=FOer#W?p2cnzP@yqQEB0x0zkcJIvYp^1D
z?-zXcbT%CPT#9-ChPb;2gDOMvf>^@<!lt&uqS;88<3N;fx((ely7MRlhuRu6Clj!J
z#lJl`<fEPNZ|sBE8q)@vjC@Eddh~~<J{QQ;4$qSg_DeZ`gZI+D(WnzLpCYvS5K%LY
zyqR`k6Lgy*6$k6}BkC0`{hSlhS0clD(|Sth%7Ac?Jj_=Vs6mJL>{yljq-g16Z*SWC
z_EddZH!A~5D}QOy(C7-6KGiPluH9=T7frAReM@E)utgG2xtCw#ke7rzl3yD~vW+RS
zoQRRQgXW&6`H-}RYjHbqk`VOBS7?bN`C!uT^U{gO&%@~u<SYr9VSJLg;<E!geD$oT
zBwQfQme@(OEcn7<?<FK~CztncM?M_WogPk@Gk*2rdbNbE-B{PBDF9DC1U~`t;7n>N
zgr*dqT3dt@oRxF1;NF;~q+qUWbA1asU^<bKlo1b267KgKXbQj(YtiI;74%2qU<mPX
z)jiJIpTLWJt}B3-;4w#KejK9N?OkWxv*0*7NP<C_NG(utC7y;51`R<E`Ped3+Tyie
zz-8V$k)2dftU<MI$5|*Q012XpgW#cmBxy4!^{kYY<lKKfKfp4*-<Go!%{}NMi~o-a
zZU0X|?tDJP&cz=-d`Os?M3?z^a=g0v_Ws70I2KLsb1gQb_S<-zLaA%2V3sAKPV${5
z;D_q?E)YHRczS9wyX(b$Fgl+B9!RJS_o_w88}#AB2L=Db`%bA;lYT3W8y>!@&m`?F
z3how8gy1;3h5P7F-@ME$N1&Kp;&MtQ3>XmZo~ypw+4R(ym0_;2HP#IQoPYD5v!<Ef
zA273=Bt`VBb#h-peIGbFA%&xftovMZ{PpeQqw)ddXpe;phvQ@BM}+59d#yD7Jh4ig
z7jH(w*U!VBD?1fv=&Q)iEkkZ3*myPhEa9)gPR0utFQSBoEOprTaDww`zpO00poVFt
zyilg0pAp-6b-s5zhDFNXijD$>t3)+l*yYO#f}zJ3ciV&GRDxa_Z=|{|$jDvFQzkl-
z@g8S-=ST#^OL&VQgF5T;gYaVp#M)!P6tNJ(IC7agA){LUct^4Oru5WQTfLgfyrvNn
z3&!@{?2l=xU823IG4p{aJC6YS>k$7#CW<fxJiJt()T-Z1H6F6c5+VRUu4Z*dxMmFy
zK0e`L;^?N%Or+<R;+oY(_Aa4>T4vtxtrSOpAR*S1mJ29C>z6shk=eSae{yi495|{E
zwlw-1>e2C$RBs$mlNG4`m4Hw5HpI>f`uZ)wm31{W?UF51sQaOBV8mm^7#qbwm`ymG
z;E5f$^kDeHBI0vdAygiegN;#?>7Q(%c&M8ZZ2Hnb@U_2|0mH3{(ukeH=xwwx0PJEK
zZTUgpN4|kyCRHii2wExF==;LSQd8-q9WB|ow8thG<()R!`BB-Yyz}2Z=QIAYP3TH!
z1yXUjU<~#`kUD}87iAU2Lc}#b;Jca-L~4^s;Oi!Tr{s8op0#}ca3l%+`XnK#$1;o(
zXW{pH*tk462zUJmLi<Z_sw}2DZLXarf>sQ!w6~;31lE|?wsL~tlRTf4I6+rW-ip*A
z6K8*VY(I%Q^axqD?ePf$=#tVzJpv?Feu$K+Z+u#_-MYaqI4(BQKGGeX{#G-?1tu>a
zipc?NB&`~Om`Sd`N<JxtA+;eW^&5$P&MAuThASt9vE=vbb>ry$6CG1<<pc%-q5D-F
zVt#@(Tfbpj(ne^zo*!QK4c1Lo66!rdk`B_WfpF1_1WMSEQrI4noV|MK>eC5(S3=_B
zK6KHLD4qB>WS5;}<O<fLxjkuiT&AaAre->I94SQ@Sdn;^L5Hh=%8HxDMzPr4R@wYc
z!s8Jw1JsAq$?0hIVVMk&(|;fiIE*#zIjItPC`XgDDP*d|grs4LOkez(NPHam8;y)S
z1Qa5rrKQoavBd-@IO?wSV4I{EQo`TpdM?B7XOmE|p8kz(_W`t1@1#Bn`#xZw5AKZ$
z>5KVIb!IG5w%^8&HuH7EDf&f3=R&9fpcy#lku6?KvbbcvQeN0r!5u!x$8Qeu_x1|z
zu+jGbVcO2j&&mQ+<wIA;pX~!m_UX3R2SIyX<Xb{y%sqYyf%e~{>@E>xi7t`%=&kY5
zt%7)+Z}!7*caoQ1giDoXq}zdHuMbf2525r_AX*#nLdE(8_u`5=Qxa=aMf%gn(hP7s
zzQW@e45X1v=Ii`y{(PO0<oHCUgS&M9U~ag(4EkJ9<924wKpgkg(XP;&KG`!!A~XS3
ztb;Ezc@lOMP#iP$Y&Iz(X@5zhuS10gY7zjnz9JLrvdRPkdl9PI#m#Os8BW*NN~aDU
zFwli;)%5aSB~^f>;Z^+!CC<_5vvx|R0{4EeDc^8P#bx+DO@O`*y*OW%cgDXTPKBh$
zci?=zLQG$Tv~f1`sNW9<4Z1}Brs{$q#lX0M*i@uwni&ZRgu{D^{sQHAq#V69pbm6F
zTvP6Ovd1LgAYuCavTH4tz?KB@Cl97btNHx-nwoMHK-595veVJEPXij}YIeIZ3(4(0
z*w?tBn`7j7H;Eb4hlb9+y9|QGr#!AxDrB$qyUqI%j!DlcXYLQF%G1%bXJ;T#zka*X
z^zvmbi|-X1%HLOx6CQey5Oc0IJTbkov2)OaeU;Xi5n$^|uVGWxQ|s7DVw_y@>ICWG
z&y6qptAe0A{JAsUng;b(R=Q3}jlGvy=~bs;$<FY06dq4&87TL#SI^@lJyAQU*O4Q{
zU1O-by2NY5zK3?JW=0T@IkWI-Upo}s-JXPHATsdrtMz3Y9CV*&KC+cYD@m>n8ZBqf
zypi8$vwjFlPU+uXM~1jfOOMLp$+lIY5T(BERLkO=LOTC0cWA?HfbH84cEYEI2AvuB
zvaY2*PuCGpFp^o-Y>pPgv}Zs{4x(-Cg--l>1QUFKYjr@D<H9F=#58Ly-hFP!gV!T@
z)j+jg0}H;M7|qw{#IuR(1#Z=s5&<-JJ##SMeVF9w@A(sRR0XtNg~CvuO4SiWBcg5-
z0MPdZbNLekG7-_e^X%WVZBoLw|9Zac?!JJksH>q0k=8rch-Q?W{lLv}@2Q`kxX;F$
zg<d5_^L=lxRPzNqS`-r0N;{o?`|(PiJwnEOYmM%GtnL=$QC_!(Yv0(++;-{w^^J`T
z89kl+LCs&Sz63jSJ1Hu?i|k|^y8fc16EVX?j5+R9q7={CwY$)Nzek9cCm^u?{#9LD
z+f=>6g~$3DQj4!>4_vN~oGX$y_t@Z3(K~(-y&g$%P@wq(9ln1;*5A(<!-zTCza{2%
z8So_63&0fZK(l`P*nN*<-o5>1Ze0~S9AyLq6xMNZ6=tQUr{DMY-+U1Bo9`y+EjpjF
zwFNDn_EAKm4*AS2mq9xln?E8V_PmBl-;<!AS>*#`=oej82P@u*yP#6G4J{sAP^lZq
zd3$~};1RaoCGIKvK7a68{c9j5wnT_SfAL~SjH~dJ8AIdTnH@LGf-Nm9d>mbnI$2bi
z%}!<ElO1KGq?#@ySXf$aNKH+>h!lXkRJhE5X2PF5yQwvG&@9}021<V?tCKgjhCgl<
zc*B2dHTu>UcxXWk=EO9_4wh3cA_*U{oZ}eU%(3|Tc#nFdZLVFvzry5~yF3zSUq%RE
zEl`X7aySHy>5?<&GAvtUBD+zo+f@}u%V%8KtYl+nm!*H9Ex|mE>n3jbSEy0kGlBy7
zQp!ctgbZpli)F?&4Hyf_i0SUb`p(YTzbPvEbfYV|?HYsT`YBh2ES;ZbXwi7PXga5d
zy1Ke}>C2ZdPdsuBA5Lul4(A>bSB}13HJT-l9uv<M81Y&s{vuR(?~UG-Z8?*d_G8^}
zviB{f=zI4TIv1`DE@?FF;X8S)bQCLNA<N!>Wp>I`)-uDtN>Wntl#Y&n0UHDAL~J(F
zPVY9kFLoGg&fYsZjVhr_(fvR0wcswB!SZDZ3v$x9F7J6tWpJCl)@rjJS;Z~IS2ca;
zO|Q_<dFI^#6bY@I49;pp`$4GqHSPVk7=ayGHx5JD@ZRyIO6Y0-=>8x`#Z(tBt;dy$
z-tu%K(iGj%-lH8Lm(q96y**rvC2;XR=@G;ws~Yk<=K5AJr$Lj~IvDcf;7tzb`xT&u
z9sca@?EW(*Y#Rj&>~(bma_o>13Gw)Sz2}+@$%Lq9X{o8|Y5d~iQ_n}|HZy-L%ENRv
z1N*_<qD`fZ*kM!Y@<HeisW+$2xPUz5?TEUy{A&X=%5X1nFt=Zq(Qxxk2%Eu<TYcpS
zsJ;hofF$9XMW;9Z@#|-#Cu`QOy_uFKwpGGrDMeXZ`%nD&<muBpMMXuow;LN8@&zkV
zscaOzOsn^uNeD&1j$n32pp-^~t!`x17r?db6x50L``FJ;+u{!GICN+&v{+7K_U${1
z9&iuXDpC(+nb%n<>1SG<8juV2^}P$heH`A8JTE^jeff#67^<pI>lhi=PpE5~P9-a)
zZskG0zdC8cD=!8(`~3v>k{DrN<Y(VcFO1Q%q>VyPviKWnJo`G}dY3*^*yG!oy0v9u
z9MT+j6(dKdr%`u5cF^3=ke5g|QQjc%FxnC{Y}ChWh&aDRH_vL)AZf!#M_s}A&MAnP
z7Jh>SqI%up>CqZD1tOSn&lV+Kz7pf)i<>DKu1v9*m>3ELhQ&I7!GqxjY!t{M)Pzax
z#Fy&e>)-^+6JgBC9YUAW1xPAt<vNK%qy7OVld*LzU)?o6?crs{G%4WHT^*I2T-BKb
zov-#0J+064?q}9Q>i3!Fr^^c|?^{a%2;V`QUG=vtZGrV0ITm|XH7+?Ouzm$>UP0Yr
z3BE7oGBs8%9GegSHteFMwGq|&8*uO|AkOvFol}j*vGKsM;f5b)3wz->1DIxC$MdT0
z$AN(YH~E{di038hXYcX6%gK|_qx0r<Gq}^X0W!OHFTyy9MU<v|cOHljDOOF1Ot_k#
zd-YI|mgy{9ztD-H!T+ptYG48G8P6+4jN>YKx1P^VH2?GGyb|uimme2gx<xJ)x2xV;
z`5onH`_b{wQBzX`oly2xH_>3>>I8wR7Xq|isL6<_A75bkU6S%uX|Av8{1%?F%7rn)
zO|H?uL|Ns!mfl|N#($=G*qml5_#wdcmHeN=w!^7s--@NVv=?sh(!s^QB3)ka;X~0k
z=Hy^(mRLnd;#?r@DkerPr)a%8|N9a35gerzNF`eG{Jp6s8Rzu=piq{LQ%@d;it5Rp
z18?MaSVG-!WPLrN<OLMyM;&w+Y7LIl_ziYPE92S@kA#}bI1uka^Lhx~$<XBFwHmQp
zFM9o&KVwKxT{}R7Gu-pQ=|q&2+@!RPzUOyUhRfgUjMv}?t&Z~Mi}a^+u4}GdY6Z;V
zTY#QkH3j}#$IQ*+i$`_R$h?Ec1-O(k35&LB@&?PgGt8&qY#iez#2l2SSV!~sh?<;u
zpW4~;wBUT6r(gJ)lYZHmn<;ZMqe|~b`}_Nogu$k<ZQ0-X97|B_T{tjcwH>GMMesX{
zu=FoP$boXq+B*5&V4EM*$XXF>P&@|n=eZ%MgGm|3AX9~dx>bWKGuu_I@Tro_K2KmD
zxrqme%BGr>`$!wr@hWrY!miA`rD+E%^4;AXb6lBr?^6ISXV?!0lh-JntL=kwOtiti
z%kHy)X1J<gpb85P@j~G#$6r&B*0}EKrQ%KDXWF8;q8uCRButw*C)yoH-yhpvUoH$C
zsC!q+gCy@letCa{xLw~ykA%*P&Z8UGT7H(*bU>2k??uICo$NXIM&9!lV9)noCZQ6@
z9YejG<bL`^<sMbo1x`pv_1lW?dAbZ`uZ0wto##nOmAyGp^4G5)gb({Rrg!Gd5(vc!
zyQjAZ#6(W-{QTh<%mDyQPRi$0vkhb_(&3;QQ(FhYpifEWr(do?*-p$OA+#Kn*~lIz
zIL9ODF;P)(pqHp00ZH@doc=k8piU<I#XZD2lUMtWlv$-0hHst=OrO<06VKeSXU}3t
z(NebNS1ezQ>8KkI8FNt11K>Q0@d;Hn8nHF~#&?g^ZCzv|ePh2eEyc#f-Q*p(lZW>`
zCD*6=l7}z%GUMd>FJk483l2_D{q1%BS?ME3Hb8QGMElOKOHrY@03);!BJMFOtpl|o
zK`o^yFMq<#O$M}y;nuh8Q<G(7ia@@;0gBgpeet%^@%H&e5Dhwc<w~^PY)yUrpNJ@t
zKXK!FQnKvs59SprDUF|c_3(EhF~gld^w)~dd9IS^KQNL;wetYx;CU`k*GV&n^!Uh8
zVPQ^jaq+0w*r$UkI~Jl!I)qZ}7eFe`mu*`CD(&;Es;W}a(&8JuvHI6m+>4Keg~u;k
z*g@GYCAAe69p_#r6&`&(1*&d^-yqY~3Z*)?!n%;rwEW&ETiMTf8~KEVC-W-VF3!uy
zQ>n)>qit(CE+9fGsLw3M$d`4axT&9W91l^p!`)xw8t6duMag2!6Mb^y_Fv%Fo=9*E
z{j!E*@l8Ex^p)I7Njdzi^nY}A?ZI$eark;hC0-q28}Bqi8bsA|&5Ac|399HQo0Uyl
z@qR}cO1$5aRLXcXS)JLIvSQMhvXVvA3=tGXNYL0J7<7@Ec=bCp|MbtE+1Z`hx%b?2
z&;6a>>-_HbeYp@v&&<lwv9ZxypC536Y>3v^Q{FoZ6!?g@B`5&#bR*afGO4&d{1Trv
zY~ksco2$Tubh5J(gWtLAT~X2uY}tD)Eo?-7pm4vzy9mA=ezhNOj19aSg}}*!mCwQ!
za3bDu6^m=gf85{i#ACK!W<b$+!LVW|g=!W?!B1bI+`v+@8=Qir<>fLN9oo}v;9PJ9
z|IV>v6P3n6;s^<JzqxoXSP3vD!e0PjCErpOIngWy|ART|Q*SOcIWFGno2RF%3kzfW
zTX(k|cesOPEMOV4V1SsyrGc*}r{hOjwZdL(A!-$UoX>hce(}>ExLk>ar0fXL=T+5j
zCNWTaLzrQ#9-n*Si??gW`UFkkK23TL_Fjihl&qvy-EBBg^TAieE^7P4VelGYrF{p5
z3LxL>`!m*TlL}97?+n=1?Ev412qQcl^@Q_!t8?@7Y@qiU4g9@0dK7|216RWEI%8C|
z!&Ewsu7TOhK+e9+?Phs-u1FM<^Z7&|Rv@a3ov&Ou)7jP4-kOR<6H{yCw~@q1SeeQL
z)Do}Pvv15?YIwZ)jFD05LZnK8luCh<&0eP(S$%;nhTA%3W<JvT3hI`MYod|CmvOK@
zv5Afsu3|6903>?CSZ;O7^-Ia}3BJB6h0e8g^zqk2&pfVzJL_9DgCvp6Tf~?zS`pEq
zpi#v^Sm1*3fM7VtyfVm`R(k7JHi(sGfUrgbv)^=YrO6kvjm-A^=4KPr_^V<kGM&lG
znFw>Xw--lselaknICXWhC`~P!?oAni02+XGgLKPeY63RxNISCxxo9>RFSekery>f6
zAwX_yL9pqcVA^}Mx4Vt3RirkZegbL^XgfsekxEolQksoU^}lauZLNlcI{6o+S?OC_
zi3^)ak9vC8$N~@#1neeh;4{c+99`PfH!yH?aFCFdl?9vB$)$>#nqp}1S&X6_fIJ@Y
zBhBu%QALIn%_2e_CL;%ee(Ln;Bn|$`lke9Pv=@K$IiH!6)7S6g_w#47vF*G4mrd^Q
z`RWgML`Q+iKDUE%G}Ex@2O4l0jVs(l?{vbmNYO6=ei9X!9^0_|yj_hl4j$C@sn5=X
zs&h@I-$|$pAv4a=j@f<{{_BK4h6jJ<_b#(f=26{fLfc0nq1BXEl(6^s#_F^dH8?d@
z2&Ty+d>iNk5J5Vy+3y08umE`jNxmEDN~GzBhX*lrU3%7L0cdb>LG;ZQ&%vRgbm(-y
zJ;FsouWAX`v;fGw`?WSI3XvZ?R}Q>|{1ToH8O@A<I!8o3iw|%u%%`%d>I>*7Mxe$|
z9F92L&K`(v^y+hljE;7uZD{COgbld}GIvmUL8XCT6PnE`;347xN&w&&)B0Gb4~m7C
zKBoeTaOe7xYf5s&x^1{_p^BjiEKqYoA?o4fa0yCK!$>YID-)VmGkHD8eiK?uxe(z~
z<TVMHERs;th@l|d41X<h$1x>hO!CX2{yHU?<a%hSTSifYon$nhSQJfNBF$)0xuYRY
z@$qJ4>46sSc4MPF0@H<It^$y25yTc@@94O5?OksDM`Ua|`G?(-u1|6lyWRgFy&X1t
zWeGkx=CJ+u$ivAamsIk~y#!_Prs+Gvn!h>AQJF)V(LLy$e93zKJIsUgvh<}BiHsb!
c|9!b#t*Ye|n!^3L0}`1Joh~>w+Ow|x1NSYizW@LL

literal 51883
zcmeFZ2T+w+)Fn!{+GdO>qJRn*h@zlmOoR&pO3o-qmYlO0MG(0PNLD0giIPPG6a*w)
zB%?@9k|odj)SmjM-n@D<RqxHbs`)9ph06`!cg{XLthM%jcv)6r>n6HQR8&-3Ns<@k
zsi@XDQc<nZ-S7_{X$yGy1ONP^D=l#m|Ke-@LcRz7*=Q-LW<y0q?@9dkmv8TcJ{8qL
zD$>PsijJWp9Zt5pl@?Yf<myR=>(0G9;>|vG@NciU7stL)iPB!Qv|UTHZpXShChyHX
z0<53j-16H0=*0%FJC7e6WPNe)#NiKno@m*hJ4<=;B)Y-P!{fWHTRtgukUETdyqVuk
zmc?$EqL7o9XCdsC$XY_HxAxanQBge*eE6FB&(BnsPcu9I_4}8DvVPs`e*burPwe*I
zKTr9#d!zQBA0H_EfB9s#hleiQ|6ra|Wu7yfKVJ06j;}W+E$wrwY<>r)-le1qfB(J;
z-6O{-e;pJEm5n_>?a8dP5Ebhp`1=lSHqbNuH#hU{bE=N$@a*<Sd$}Il@%?@|U$tL%
zGPAfZ1BafsH+SCG`}=k2WuuieHQ7B&4|$ee8ML_f=iR(~*K+;2@%P7f7X0~fd#vP-
zKUZ=#^l-`kTe4vSYTMe?GYov9$S#>R&$%zmwcGg8@ff|x%;X8Pso{6-zO_Enec3r;
z=0<0Mnw;ozrh1l1^rugk^!4=zV?xa9lhiW4Tj!ql(*N+}kTQFh+nknU)s3zqt<<80
zggl4wl#Chy>Ep+bS5{Wm)2L{^T+iTm_LRY=&tFSDFPM5C`?);VHS=yW*T7^Imx{Rf
z{q*$o#zGedpM9sqD<0Fc*%WdHN>>GPH8;qKCfkp;4tk%exs0cA7X8$n8E%%#FsPP4
zckWhKZ<uUsQ})xNa@i{$9d^xXt8=cr7M%s{x__)gh=n$Mw~|4#jz?i%Z3GvovZjU-
zWEdWwn35+|ygVDyrGJ0x{uqztVI3(+$tR^>Ki~Xo&2-6n#-AJ>Wi%>Aodr&npFVA&
zt-7#HIO<H7s{)zFVXXb;Hubg)Ltp2ap=hy3d)6g2RDZQRhFgtF*T3dn_lT<~?r6B<
zJBy(A?=Q+kh-lFZ+AFH72hVr}Rz=^vyEdYVFHBY@<g|>h$U@xgNXxDh_r1NhxGhao
z<V}?Cccbj8nLT4%e{q<S%oeEnXZz&5yM4&HHvL1lH*;=y-tHf@SI70rt|OP8Gz>QC
ztV{;p{HR4z&$Ersvmd3);@iuv`eI>b*fX?Um}X&aobg01n?JL4KK3N1%U$rhv*_xQ
z&CFPbpwW3H^5o<svF?SdD~pGk86SJ?-u(L`S-0&hxH9>H$#>xW!(AqA*~tMM8Zo<$
z%6{mzj(_puENoMGd0{3w{mwsI>#=4$hBXKDuU|K+k0J>;{&)d1$G81>XR_dUK?7^C
z<=68ZT6sL*Xmc#OQf5cnT$aaQS1>e``|S6Rh~NsWVu@{tZ*SK$Ye^SVh`DsdlbZgp
zw#C7QSh;3=dUCNwrqRo?M|(9!10y0*qoo5A;3LRVt^ArY!8~=(jw@v9RZ!FH-c4NF
zn>VVS+ZZXh(ZoF*>Z<ySbK|KOJgJ>HEHYZId;4*VJG5JQ&aBQ)^=rUZ!i1d91i${X
z$l;Pd#Ou0C?qnI&9oBN6@0F64RycqDw!FN2W44(_vSw~QYriEQkJYz}P01Q6SWe{#
z5jVwG;#*mc9AV|=z5=^!jv_rR5Fe9$e&SH%7jN#NmW<dLhnb<KEW2Ul!s&YHyzbkZ
zp9Kdezzm2NF)>}}4|hp1FJ88<4mp$BZeH7M$!9xWIH&I6Fy5&J`&VhpHcOtBmXT3{
zJ!D<~xHI*;$uX10xR>iT?->ZxajzTA=}P%$E8Q^`7O{;RH>S7TNYF0K6R;nNqhV84
zwaeG!ES#zlbRV8Bpubyf@W`0`&%JK!JQlAI`&ip$l(%^9PO@4?%vjN)dFra$Y>OfB
z4z-hbH#!m5H#2kn5grUzTw7XN)C--nX6EL)JW{c55{iaVSm5hEmt|yRnkpDQM$Q-q
zKYt!K*Xbgsl&HKlcV#%WSi4!<CArJ(o7x;aqv^611F7l%YG7;W2Zx;U@0c_t3??L|
zY*Jk*n5xN$*+wrA_3hiYlNEDcJsH&-!UXIl^JvZ{xlVpON|}D;E0QohJ$<uRL0*2k
z)?+0@Q}^SiPnkPA7iUKmu3fv9n{>4Ej|VtgrYzFj8F9aT?!ne5<z#irG;g!!E?XW$
zoXF-bYR^}na-^S&dKB@x!Grn7KQ@|j{j8B=-f><%Mj=-AT54=s+U3oA*gq2n)ms&4
z+7Kfn;5;4Y&8^)FN6zc^^T#z<!<iAgGKD{D`@n<Q@fGtkjrGh&R=REuCM6|JZmD?0
zT|PX!Wv`}X$#IPw(Q;a|_BVA4ZBvJAZ-v@X)UGA#wZE})9(d`gsHnJG+4XCHZ|t9=
zf7!|M(fwl^Pt%>LpY-E%vNiH&Rg!JVTjuAFc`CuS_>@fEIVlkCzF^$pvARri_?)`m
zzc=1{?)DsyrS-}ApA$XYUf)+k4=A|1yGvHx3qIJ9uK!5foA%mrM~aqUb-1ubzWu1Y
zxp@lCtR`omH#a3wEyLiY#aUWb`9C)mr};*#)cD|`L+3cuGt<l)(wwFYc#Z3s`?$3%
zOV+h!8b4(o#1d^D6v-%FU2&0|kqhSe7(CXIpA&N_Xs2!CbZ4Q<g#<xOn&W$ZTc9GR
zcek)irbSn0a5$fp?iQwbQM0z}teE1Jh2bXwL4pqElD&I4HH~Cedl*+Y1YZ`$qEpig
z?3V8^KiXw*IN;Br?Vi4fyR3_qV>ET{`xK;J?C!SZ)p4sfvmCVsuEJ^ZrcImv4shT*
z;0(LIkg)jWwH_t2!+e{%`}9EFp{5W&ziToPd{&2J{`CROj&i$j6q{KBHFcLeUS3!~
z+LCef{tgmh$O+2Htntiht%%OKnw$~(KHNl%wEh0U@5#_?I|Y`{b+rXf`hF;%`Ioep
zyoJ`imCwunMBOL2TV`hFf#TKW)S0;=w?$iA(eS;!+MgfO3x2ocOLDq*?_O)JO{~b`
z$f*v;9v@atPR_vRBlh{_kLgX9h3$qEvy2<W;SzEfV)`uko`r=a52xhI_Eh+8%N^6O
zC~OLL@AX&Vu^qTP+F95pbx`mCHH_>E5!K-iXsrw3EpmC6>!rDjtAly9%^X<u{=`Vh
zAK~IP!gHE#Q`KiEU5LB2LQ~#!ye7=~9VvvPVrD+Z%d50?|LI1Koc73|Q-%Simpm5R
zx(dvj(rgFif4NE$=?YvWu2wzM=vqgG{m&m?4>h$#OYh}1rF>dg%xczdXfcf72&pz`
za;X#Bt2W2Pz-Rd)__P^aX6I?MR^kK5&z?Sg)mI&YM5@Xl<KwT4D$!}GFP8a_$=qB!
zZcH4?)@-v7_3Rt_hA%Vwd$X?$yz-rHRFGT8A&50vULN<@7Ox#r9mDAUvxM#SP;C`g
zaS|+3<KxGV=c;02VumtmMc9Z~%<?;PGI?*~RQ6|+n9BsHLY;l+c<a4r*fOt`{zHW6
z&3ic;Cwr^>0|R3dloE$RZECJm1#ryti>|6QYdM6G$(3_vWO%;4+K%VuIvgUfU&Qe-
z?#Q!~g5M4~ZPpmCaJ0j!f<6ImcGKp~7gBPNIuPCzcN+_Ts`F?MNBwy5YRXVkVj@mK
z-dNtSElfDxyd&>gSzDH=%4l1T9FiQ0ijG@!mTB|Q=a(0_AO6XDV{_K(c|Ww<{>QW5
z{9*No$n1%)|FO*X?hWEnB_$vHw3}&Csc=^K{o<QaxBmN?<W6tyBb0N$pF~CVu42Rg
znne4Lwf>Lg`)p6N^6h`ykSWalHFa$J8%@q?q`7B09bcI=r<j>#q!Q6um)=~HPpeZf
zHXmn5$v$7}OuOZUqzlKNhFBD-;a9v3M~>aaL?2nPq=^q5MPY&tv;3m<_WMs6c*EQo
z9J_BxzFT{<p&qu8w9*|e?4nCg{Z27xaSAC?K!-UI!1b{`d{mc@`*r(7>Qy{8u6%Yp
z4{_fX2jMtUfS{lt1V8_={BaStiL$+wRaH~@1>EA)o)@S+dv=Svne5YR#7XL~ZIB7(
zw~3)Xz;_iFAJ{PHZTG?ItF7bsvnC|fYgQg~kK5tgsd{Qxj<jU-B9nkaC>MB^wofnV
zXDS@4wT2u|>wsbzop1YSeTr7T{M2EyoL3UQCO^7Mtl=Y9=KH0qMctPigC6%TFU|!f
zn3j9*qbx<ZFC35h2{&cHaq9YqCr<(&M(K3dMh9w}l%2f#_GVgOU=*Cg0DReH#1Y%R
zAVXFT4jH6qO-(8~$({_(lB@Hz9+@`%vZ=eQVjI+A+$<*(4Qs=%l?~Ynz^NTU7Drn1
z&z8%H%E{0C{iBHj#A9VX4~ff6Z=lZo8TtY1TppL%8^~ETVExLd15yemrIr`FR;dT4
zL|eI$VPBf+t8O?|EA&bfAC{m~TvT6Qub6LdW;fJGvM658re+YLotzabExEHk*{v^k
zEZeMYVR?s0aD{Q^jn>SM>a{U4A(dvrG`9>r($bmhWSf^&{QP?}z78d(D&wtZdVEDq
zC`oFuCpD?~+-NVdpE=Xq?lN8|F8?{O+TfI&@XWK1RaI<CwOFPkYa~nDU&xd223_|W
zWyhNDZrr6yZ>`Bk-zlh%B#xZcX)_jB)$3(9p#As&zi!!Sw}oj{&t2JWi?eDIt3P{u
zd($5qW!1$$;AL>i9xrg3lB)L2>|pR%vSRu;J=|Q|zZ4o8dXl~h=?<Gx^Ymat>EoG!
zx>uBw+eCg|eVbl4wD)JaS=;H<-d($PRX^Ny^t?LdIoW=sJ=f;L=-fmFqej)9y?X<V
z8AF$bD9IWhCg}7o6}vB=Psl-uXYlpiy>r8Yu0PX^k<7o%6Pf@1RAG+--}vYbCh^ep
z@mSH7pQY;Kj2=tZmW#2;?u$lsLb9*)OYd)`IG?`p<+Ay3{08MD)oW(M2>*KYvWlUy
zi(J|ZQ~L8aPV}wTtQl@fGz^vPkKeSHN_Ic#{KeB2ok?)gn*99yhx{D`!icOBsg<_t
zgjlN6Ryv+Ip5pAqsjk(P=3wmt$JgpP=E>i`Ur#+LCMG6DBJnr9EX!*6TBx8*R5f3!
zGL7oaBX#ZFF4KZ)qAa**Ao7teEvcmu_TJw0s?Ow<!VXiRO_U<PObuDt$J$Q4G^BcL
zu68yR+XJK7&8|TwuH9ya=SYl;lSC}kahvg9S!gc)M=Ki-Bx~eQko;co;^;ge?5sH2
zn$?i5Uu8Sr8@R~+6t#&#b?~}E*X8Us^QSoaz6`>Z!ZDUYSV3!nFz1EASf-TCRI<@T
z+*VUlYefxNG~c)1Zm^z(a_FzK(eF6u4ySpnx@X;JsUK!GM_o+>32SR>)Y<rch7W+H
z8zI}u8%jvjrL`I{`;vA}{v(SJf(C~_%EI>-I|Cksqc%`&Sig<o8TXL^)20Na*PFli
z`m?F1H+U>GL|`$>#P<7h)y^g(mMRXrBkK2B=QifqnG&b&T-7!@o?}sZEwry%vrHv;
zDQ7G5buMdaCLsfoAy1EF)F!}%k)vP?cQcosbL%C2H@CJ<*Y;Sp8~yUSRBE?im@K`h
zyC&RCq6krEqF9fQkEcwY4&k_}ffZ?G&9~|iFYYZ`nyh+~qee#I&vX65b|MQEv>&;w
ztsVY53w_KengS@Ha#*<KmBcn8;j$B69LZ3&Msl9FfTBQARrMGu>Oz;f1dr7f<(4+{
z{OWNIp2&Sqne7HXpF<TDPD#;9#MKf-A+~bex^*y~u(5(E*~F1wu43gUQ)c<2mtM}H
ze?Ra+wZ4^6M3X$-eP`RGo&eRweN2v3A820@ap9<J=o4lw$FKK-&sc;bN~<K?FfmCW
z&=S;M0|6T5bzH?uktn%Bhn}$Ajf^}@ie&OtFc@pkB}cI;CB%vQ&~ZPG8FBylbv;QQ
z`NgyFaE2Zu)+4QPuDNYF$TF@hA4+-i=1X4x7-}23`jc2KlVRTgg*q<PH<mAzJWy#8
zJ5(KXN+MAul~NNX*!1Guotss@bi9?p+OKu*1@oHr@roipM>GLs(a7H)x@&eosdi3`
zr;CZmgu9&Zm!bOTM>wOzRUbQgRKjI;qz(?N@r{*UYC7)m^9MgB7XOhuBO^DOlGGZ4
zb#lzLd>BQwNhA^-;+>b5*EGDxaHq>SN6zyo@^~!Lv-u=8)Sg5k?#bvLhnpP;bLjMA
zc3WMZTWITA={s}Z>&0P)SSsD&z7PuvP@hy7t8s6of8I!Xl`j2GDn+_2{_L+<qyvoL
zdB{=%eaNn+oObqCmF?9@${)*1Y+St~%-_`f)as0Rd)&(lo(b1V?^D*C2N*^_{gR_-
zsI|x~KiqYa#B0{7Xl!gO!d22iJc61?%c_i~^23MAsKA?$gAt`La^dH-cF8)$o$Af2
zD|4cxdepbtLx1hpcY2|&_N@iEB?|uQIc;~s54fS&RCXP!(v`Cx`NB<DD3Amqp(|iW
zx2_eQGb*{g?%MMCFq})^V~T~&GxG3){$z3_fqkuxuP%!g&QLT&xY#(VToCYto$-ct
zh_Y;mk3^O6U<Z>e3Xvyz!dBnziYyE;b+}GdCuroPAb8n+y|>ro^NVx(dA#Q{>EUcD
zd>I3o?Z(>qzbybki6zh|BqJ0x!?5UQ&vrMZXlWozY~IXO@M2_S<R(+5H@A9`Yc8=c
zh?%m6p;q@#o;=x@t}iV-`$dlci@JJ?;eAN*h$6{(d$_cdT*h)G;FkoZKAp0w;>fwX
z)Y$v&o37j9Xb#<pt2a6G1`bC@N5{J_FATNiSV%6Wz}uy_jZ!|8ynA=v?dMm|p~m>9
zCr_Qy&uPm7WGCOdhDD53YX7=NO|-AD=Y!aLB+MPr(ww;$afAre563CRW2uJ`DZR#9
zyJup|W=td}C#PTmy9DBxhM_hF3e!MXLTtD*YgBA<ep?PUL8RX^&sT01ep_91rNgpx
z>opDyzh@G~-Pgym3t?A^r~|cJMzbgz+K^w1cBhw>l@Y}ib3Cw#Xmb8U3L+g*6DAjT
zv<(@rEX`B6PwKwkkor9(7Ijifzpc~z-PE<7i)I~pypeg|&PBNeA|pa+l4#rzLs>=P
zqMon{zb?1nbBOF-6F*|QUY=sJ?s&FayX0I~e5XU5dE(`Zt=mv~28+1m5l|uG260k|
zjX?Dh|JRy-j8L)aJ8w5Sh()K&)xNRniBvyB6*?Pf%hlB&JKkBC98%?hi@Xwl>Wj~e
zFk@(%X*1_3^LD=CZHaN}SqTU`I!h_T-}8_`DJDFIlTjn^P^alSi8UeznfUozToH4k
zDKiMKcc*XqU^Df+xv4!%7b1#7rX_aza+hCvexihxfLInf7#}`-C{7-1%}T8G4BowG
z&;3j@6-}#q{5UXO%U@6Hm2Y_pua#NU-rg?%`u;*^OQB0n5U*)KS6)LyLpAWmJLLj4
zeV<;uwjZW&Bzdl0Y(r>FQtfn`>p0omV=GYo<j{rlt<6*YwR36}sC;Bl_1xwZHKioU
zS2>Gh8la9oA}ZR|j@@)0elF}{|8{g97j_BI&)?;BD7uTcz5U_(r4i{)HIlVUaHCR9
zR(O?sZ}H-oV6m0b-P4;`D6jP@?oVse3On1rUEcm!vbCI6Z)GZCl{UYF!LkK4dhPgv
za9guV+r2zrw_Ko}KFke-C+!u|+c5hi<7#EkA=BPEt{=8Py3a+-<TJ_!0wZwqUHE1z
zklc%0e*er*Z|=V2oX&L0Yj{6vHHm{6hPBz0V%;(?`6&e5kr^#o$>tQT<a8WZuAJxZ
zUb`*YC#G2Sl+UxDa-KGN8X9_o{PbxxnML}rx=z$KwMWx@KAGd+=DRD-rUFN6?_XdV
z?GLRi$}YAOw@%qUEMm^QIIcLJZ<M9PhiBXFpBwAgpUE{az8IObP0eO;u6Wgqd0&1<
zO(})ypqJ#2fLr|}d0pMe<HwFYkShGjJP3q)&-7-bS1ltQ`OW=#Lc`AA9v*e&9Cu2`
z-Z*$RTKQeag7#&lOacKVtOBJ{1A=biCuGS5eS2wWf^2Gqn<Y>3nl%1!vEFOqDN8nP
zN!NdSRL3Qp*0XiqZgYR(Dc7GrUd%KnC{^(tpe}yxeB{HO!W85w&+R%<Md+1HOx218
z<}x_^&H4<hlP|>~YFHEcBye@6Sx1_q*m=gpbVY*E?YiBI<-!ET_-|+GdRmT@XfsJX
zo>uehUmTq8k2r%8J~}`~RyMnHJiK>qq@^dL#;acZ<$D36&o7?n`IPS}W-<#Q{KWTO
z0)&d-cFZ0}q?E4S7TvKF4^-3d`ajeMXwx*sWPb#x6u)gijc1%(I(63#A&0UG*nE2$
zbuHsY*U<{eGJ%rC=>|EC;aa5iyu~Q!#mTQ*Zk#I)6w1*@z1)kGINW87KQRS4;R5^A
z!f>kRa_4O9VHU@#dWVP1=V*O?xrIe_!>ImEug7`<>{iQkyTlTc&&&J}&-397tl|NF
z7S&tDRI*sQO;ojNagluu)m`7U7W*9C<Hc-tU*aPP#D8C_|L*R_J|y?$z1BhSvl*`Q
z*28OYPT^~7?ZPxwoSpN6gq+g(t-njg%T~au3M#1?McNPWS-u6&&|}H>i8yPpndEu<
z{EqM6zyH*<KnU|@CU&@ZbUS;={$xk607*J2`*}^S1D{BCLNS&Wpp#|d-=(^F^JW=j
zT%U+jhkRbf-Mz>vSChCHAWtE{;)6|7a?2A;YeM-&hKcCed>W-l>2*UxjTxG~dqd!?
zg8*%Gw%fOv?O<_?CSTc4RD(%#k4wLvKq_;(Kg=OqsjtnVcxK-)3N-`&c;)2aARc3K
zOTI&@72g5kqn4IjGjz)~H59qIB(@)oaQ&9EwW`4^r^BFZd*#4R9grwJO+l;Jg6dmq
z)?c!+dfjBdp8CKE9gpR#L1a9~Sy?C5-LYxfW?cYNG5}gVefm@nP^XnZ7_qhnb&+Cy
z$l|!?=jWq!pYvHos%$wOQVkHSa-=P%7VD^>sd*zkBSYquxKENbmXB4b_FLJb<auNk
zr@&ZngAK^eW;uGa;!}iZ7mv~Bw~{OmS#>778AUryLw2GHgA2Y<wkxh6b)F{P=XRNi
zH#dqsUW>w+fR8mbrzLzDvRYH);y!>t>)1js(3sFuC&4(QCJ}eoY=3RkRb<%vgq<^6
zP%#|m<UB1K+dy0w-CwL98&h?<`X9y`E-oxg9DQa#Rd&jl?#45>KNen%#mloBrX$5z
zbQMMS=>V%0XWf@f^8rC_aK_ycq*FDZuEVlId1WU{LPA1Jkt29BPr;{j819=pHjBuz
zHo11nlg2~E;38AZRj)^ns&RS?$d|zWOlgP&Z|qDzmb%u0*==uaZQW(^Ox;lb`^Z%K
zYMXmr^%YwUf7yIS@_Et^aXrFunO4K!2dN=3;dftpLt_JTYI&{a2@AIV%&1fK&PH&J
zkK}r)yPh}(AQ;OR<Ox(fQrY4SDGyNM&!ku^lBV@X7G-`NrcH7Pemj!Fg#<U~xX(w|
zp2VS=9`EX6ottg5SY&TTQh|DTq@`he;Wmrot9`!x1G;k?pZ2rd<SP0Z*~NFE7g0$`
zMT^EV9~+@;8iw87<U;?ozyZikOO8cEt@G@7mxcd+9-}9<C&zXiLDrJPSu$5PXd8^Q
znU2&)&~YvyktM<>Kf958if-_J9{&CvsE3<=lU4WITWOSthzJW7edeHjrwpDM3nFnd
zZMp)+sF;b_V`)Mnu^mQK*oS(lT`^g`Npdpi!R++nc=7s6+uNP`!zfEgr`OWEedY9M
zQd02`R`F{+rkeEi4QN6{Eo{Td<{iduj^S@n<5l%L+|odmkd$7;spXJk0gvX!sY9^`
zw4a>Sc{RuW$E5?LO@od_NJ!l%G^1-RoMtw+gAmbg8XrEnx=nQHbFc@{qnmcZOFv4r
zM+e+NYY@;v#iei|{*fzR%wJ3WaCYx%Of*Ze%=uRfpi<kvVF)zMi;Wy|fTp)Sr}7fN
zRP?>CPkmfx&MZ<$r&e^;^)2HSR{7g!>U((9-2#CWsZL$UO*pK+9I85<^~xz_yO%=U
zA4|E%`Yd}BOUZs8v+06KraeqXa-n?Jl2_wn!v%VW*Wax4f>kUnP1RBY>w)6#&vGs$
z)z8zF^l*vm%qdMLnGSq@={^h`CZkfzrkeM!<{%h!m^WcAB2^cIyM641%Ad8T)@b!3
zoEd7FcVY?SI@G(7MxK`cxZ&ngaEPkI7H|e{rQ4S__80C-vKbw7%|^=CSb(A~QD#j?
zYD2Zn`+<*4Co9`N9u0a~Py@VPe#TK-e9xGE9`3dvYh*p6>*YSPiA$5oTKN=<+%@Z|
zReNQNSnjz@tAMutyVJe2+8|>e$pA25bRV&G>a{2zc4u-rIO&A_^lB6@(cS8~$h?#{
zoWf>9@0aakc=+I#jqP~Ob^jT=E?I{~5oGWpfn28fMEpJ!@g}hM`Rtt5u0NZKRLqb$
zC@G0OqH9OE894XnFJ_WeU%wNWn48P%3pV`(D)*h&sXZID1FQ5q#E<gwHW6;eFc-JT
zmVH)bN3PS6(W7$Vnw;G8<dBeI8;>tHPM<;v^hBgs?>K>&EpUEi-telW_Mw=LU~vDY
zm#pI==5dQ$dlor0Z?#rF?_QoaGSdS+-&7kSU}w^D=Gfn3qi=d13+kr3Q^k4jyq6Xo
z6{Xss?-Xpt0}DIay(G<5*chyxYpwq_9d%7cmy^rfSXK<;#>&l^>({TxfsrFe;ry?4
z4R%rUmk_$Mew#960xYCjk;No{MetfYNKjdh+_!%KpT<a3tAqxD$hkQ<s)sig6SQv>
zIkqD&V$Zl~$o(z*BJbY4`-GyVJZ3f%t6vpBj_UGQEo>~n|2s@75Jm`c7S$w$$l1Z|
zQ|xn0n`_i(!4F?)_v&_Eo@q`Cgki|UuV$IGDFgg}iMKz~1<P7kSsb51Cbu>z5x_&K
z=e9uREQ>B}hYmZHFB6h1<NM}{20#oGQifvvxzRR5ndW$fieP&numEhCNnm;#_8Erm
zuq<X_Vfi>{D<vP_bA*da4k7Icv)yQ`64G+9w?BoebnKdxw5M3*QDV(}e?zeT5)4ik
z;eE0Isz?bpEf&soK4nHZ?xf!uBiR=7;>BC9YruL<KsLUeL^78aBe&8%bwfv|LNac&
zugZ@}B55!)Gczq9S+X)i=LzasfQM3KB#?bmf{{}Gta<PrEF|30wuPu!Y?@-1`(iSI
z)DU#EzlwI9&za6Rs2LJJMT$ML?R4rNM2hwB8|5O<PWjc9WnP0%w9zp!fV-7UK#|p^
zhmYESd;jo-9oQ;U0e=2mP2EkN&@{lVV^N_QBYN*>-fMAqF#qnWf(8E91EvzgnuoL(
z-n{<eaP(1BvTX0^n5ZbD$?qS@QQC#hgAkK6@3$y;iM)j1NUl{V?Look|Gk524b{c_
zL~3<popP!+{Zm@v+}@l5K593X+b>1VHt(QIyMYRRsb=bu?mcpxr9)aY`Dwioo3G=}
zojXxcF*+@eL)vjU%cSYN*B}9QC#z@iSazRvLm5Uu5TF_f9xu>vefw0@6*3VyWb$`C
z?ETpBauR1uiJY`H;%M!zqn@QNp`(byW;oN((8MF2_1k;4`q7^<xD<aqsGqHoky=Pj
zIYusmQ^C6I{M%-*N77At87&0kH_=m(2<1*NG86&ZffraJq8xV~&1!Z%Vw-)VMb~VK
zz`vj9&g$cMP^MAY{2ic$M2>fKo<B>!YR|A+zjf~Iu`{)9IvEBssdmJ{4|f0VCvm%c
zT&)Q9{L7w5xAg25zdhn2#0`Y$A`5RMz!G`^+YiHzb3)}BStc|!F{+2nLI4$+IwRDb
zt8zJ_4$B?pt<7)?;Wbq@X}R3W(F&kxcRlwqf!_8{hLi3iRy?5$I%$T6MjfklFZmR7
zDtQpOUx!65R8*2=_r=jO$fr4@@=l#PWry1u@{?ew^WJyLcIl^;S!Y4Zu<%r1@lx6F
z@|7#Q_wF4gkT)nq{KLaj2+*VJC6FpW63~Vmdk!nrXuxi<20nNF_~AoZXE889fW`z4
z(CIwP0XrN5-jz35$(DshOdImKC+Vvo=QpkO?uz#B;AEAuUCymtbwp6kFS{wevm7R7
zjJzjraV$T}x>t&bl*G&ZL0Z7w`p|N}GhO|QidAH1fqplCy)gob{=&M`@-LVEW*AES
z4ot7!lKtglM`5M&KK<YZW)>Ea7H%=lB|SYd2vyQXK~A}FrsPVOY4fPz2h;D5H`;}U
zvQPQ*Z6-i@if!7Jn36A}_A}#MI`EA71PX)_)cEbqzgm&3+^42bz`-(Jm>$%way+tA
zSg!nCZxFi)G)!;PQFR9@k`*sWNlmIrypd&a>Qf8sA7Jzls)}$WEB?wW$UG*E$B?^U
zAb|J^Wy)HMD6<UvQFYTiWGv^ZR*AT43&gvy&ndeqVr4p3zUm*-oU;ikspc}CQ?IT@
zb!h-$q}ax(>~$QQJ5|G1YO3utySbeymxVA=caNpKg`vb`>u~@(K@|TdPhJ3ylf!S1
zv$P@qf$fQ9@3^9T`SJ_!`~#>KRUmc9#0C6<r33RJona>JKV!Z{pb~doO_}~!agj%F
z6EiSR6ovx8hG*Wc*=E#J?n5cK$|THo+h~?cPHa_@wb)&jeWBGaob9~^<C%a(PC7Fh
zFC&W{vAtSR1o=vs1deaf!VsJA&+a>{$BungkQ0s;up1)OOjopGLly;RzB9J{MWwIu
zI^D|ZFgJHy-tPKA+aVaPa4+{rYZhC#E0AaojciHz&(bz)K2}zy$K;r`?a3_Yf9UR{
zX|BOAL8L9pv7g+?D}X_XJ^5?cK3CKEN6C5?fA0hHz?=yY6M>w|#ws9>r3;%x$-9_b
zG4<XGQRZCE@c<zS?&Tk)+Yb4BvMN4bsJMJ<J;Mf7xwxaJ$Ev(QozXSb=wW-BAX@OD
z7gQ!n3Qmt<1R6M|B<t{;2R{l%_%#Vuk~umy)`i8-l|XNp<8AtDv{xM}bTeAM+X|Gn
zS{(I#qn2sp7e&_N{_=peb`ta{oB!oxNweMT6wnU?;~uN|QRLc(09s54(q}-cwx=WP
zVnC()qx+I=2K_Z*l+6CoHLl#{1EBq%Dq0I}m^&tM#$iz#__+v|(zZtP5=Zx#i_XS&
zd_&Et7BVhJ8rDp-A04~+QUf`u{aE{;f6}(;HP8DWu0pR-DB@fB4cusUOvm^wuY*9X
z;dkrb-P^2`tj<gLitp}^1vie_3KVkE&z0FQE-YMQQs=(+>fD`whU#7+=J#+m*7a}b
zh#%+=O)7vLgtEQYV?48GQPxXaqs)50+366v(>LNcwepMr#a4d&_}YBb4r!H(R{XB5
zs0S$n-;CPd{X=#6Hp0hN2B9y(Mc{9q1qM1uHG52Qtdq?)sHQU&Ap2Q`zk1z1XEPlO
zc^s0iCyLgQIt;IzUeU{eXR_1DK`CVf<bz^V3j$+Z!L}w)k#=xvq<SdWY=Ml%<B|d0
zD+0S|mb{0Y<X)zXMZtvl=PP2bzX$D}uoJxF^=>Ns1u`U?Tpv0po*Icfc6rq4cu2od
z&*ibX0bju@9Z;a$Z1Y2X>vORH*<L}P)8ixFnH=pTU)<wer4{I<Y~r1MRiQ&GpR!tR
zwC33*{<DSl1)$^0hT%>zWHLEvCQp-7cwyibSxWXj;28NBGp|fDp<S;_#LHzvPFG85
zFXWBh&v#qySaa%f{<@y|AZu2S?#TjMCq(l@9Sgm{dUImjIuas<7S@#%^)CT4*wH1}
ze9DRT<HSB0i1Jim)LG^o0#K6@F7@2g)Nmn>FZ1A+mIA7(tFuzR8xvVd4`2QBcS@?N
zMlumzi6*QeS1X*^7x;Udnje4Hd>J`wwPv(fb>_;eCgqoWN^Q@f!T>*@?%@F%{Yr9I
zheY6Q9jA3v8|XK7p8Vx}JgX1zTVHI}w2}D`=wuFED`-rsi^Ghf?gh=!&f%zTn~FU=
zhR3gNi`l>|EZjl&lFy=3h(k5)twjrg%?Y&7p1688sM#su8_b&^H0oYS=x4M*6{?9t
zHJq4QBoAT;Cyrq3i^E8@YrPjcEs91u3pEHROHdTqWKO&FBWC0I$zD1^`=qY)*8#!7
zCO-0npn%spHFDy>U%N~WPhKau8JPc?$4^d{8vz5NbP;>QJ6e<)#!L_s`d%*~Gp6I+
z!S2)-bU<+aklt9`efSO}ux_7cU}8!jYW3n*_oAj@x{wMY<;9F+z}(D_<X;trooHhm
zo)pbl>tG|gmbe<S6vKHHWxs5hr$=Ox24O`D9CN6Q5}-sRtU!*TWu&EuAR4n=)9g3L
zAorjw*9bq|+RK3qd%?UN*hI6{NEL{vr18<lM#YFZy2tj#FOUMGtR^d-e8=^yZVuqS
z@;k%#4|W_%Zey(N<;ovPe=y{ApP&aI25tlZ6a%cBu!!ifz4V^|4qC{FPQ2fxJ=Zcb
z4Y*ysVa#u_mqvjP$xbBT5NXzV_D!b+7+LBY8j_7`-;=ps5A;7%(GesAfM~4P3eYXV
zmo7PblUQc96-X!bw5#Xd-p%jd=2GXrJ-A;<9CEe?CLL6k>Zgun2)oPzCN^i@M>+x@
zFErDrV1NthLxQ19)J7Q&<JzZe`YtuV!!msoTKU-%J=6y9LP^Em-adYwO*tv8Px>T4
zHdmA&M<5WO)g!PdK!-lY(03@s5X6PvT#_kpkiT+lCcc$v54-jFocV;j+xr*jngNYO
zL%xHBsXG840(h^@12baE90Xa(f>uQ7*R-MF6W7k?mQ9uKw@}q5_|;S=`0uPff*KX+
zVP|L0tZa<CQp&FR=5y;f!pH$3$Ik^oy^p|{*|g_YCZ{3GboL*FFi)-6y%5M)`VeT>
z=W1Zq2b)uM;sxG0jjwI%!lm+(KS8oJYE#so#~cK1@5>En7I(v%^a&6M*Zc|i{wJiw
zM%r#OO*e<VvysN!D=1tcATY_3$h=M>7M~(i)&yo%POEVF@>K#u0|}foLn!}D=dtfj
zSq(TfChn`t4j>79xLM5bCy^=ad<fDlwZ&FAijbsUl_b?2CpzK!8YDrER;zoq0og4S
zi3RD=n<WfD>;Q68;<nqZt2o5T^9Y`6%6o?0_QWmW^-|TTzv35UsBLUDp`i!#E`5CM
z^!>w*Q>YqkPyqx(zN6j?7ri^vXX#<48ALYSGg@#XI?oFVgiKoyXo6AKe>SB@q-CY?
zG|b0paCf`vjPCJ*3<TIX=!i|KoIn88o9}EBQH`;4QqQ%HZk`35{s983CZOW@P^;I(
z%>k(l0o|O~j_VoDse$aEJ>nesQ{0tT=Q}waTox9VOgr+joKOvZLZGXLcJg1`^*MRY
z8sS7O`$iDK)Tp#25!td`G3qkP$&fP^)ck$K8YkPEeSUF^-}R?u(6BR@xn$a5MA`s$
zHQmuE;1SOeX`E&l+bf)%%6V>lIdKY_p9~0bo}${HnTO860`-sywpEE>E6Pp-TaK{v
z0e8=Q^k@jg7a7p7oUBk(CWIeN4j<vJhX&hoGx#Ase47{9^a~eI@83id@4LTd<xyGD
zBLj_f!?hBo`#ZY00=4Xef*@m>hi^$5|J#9a&WkN2jWU4>Yu$}ImW4mRJ)$gr>DarD
z>f+<I7I&dfF+_D=P-Jw$Ni4XV{^WJZ&vw8gGC+kzSa~*BahE@bo!l!h0}ML>fz!@{
zx(9~HgD6W7SuSW+K)HY2Uk!9;?MY;N9-n90M(tCVdlN4hdUL}iZ*dCI4eI7Ce-7!)
z!KArGRE=v=PPIZdKW=y6jhy|OLf{BvN}m1Os7kaUWH11Y8~x4lsPvseBroGOf+EY)
z3W=Xkn5{9NLiKCJ9JJs3O-VoT>G!j0VMmt}9wWC^o9g)Z?yOLiOSq$B!Z9M3vM8EA
zV&skN>J%YWn3;ouU}vV!-!MK|+3tUwai&y6hJW1XT3T94Yvb5Wz!OTIf-k>5GW;ef
zFIiy+7x9aJ69DOSfMQjbpv1<uZ$K_{VI64U?7q>iV$tujpK5Bd1NK8v(_CPwN4^ed
zXzyfR6<bLg>hrX@Wten#MhcYokb;Cg$#w&S8_OJnxZtmz)9<_KXfbE*_niu=sskA*
zXrbs}B?7|zt}i>h`mE@xi=+W(NoBoq>5vnexEMcKH}D^zU*01H%X=TW?S<?84d^ZX
z#r-7_5W=CE`FCGemZlx3|Digz-@I=7OCmAqDsmfw++UJVEX{n;^Bn}{=VerQ;r^C7
zIIJ-TccK;m#TM7G-W=6FWzE_purWwbd~HEbOX!F7($oU0XoPDfvB(87BAC|pN<2Pb
ztku^J=0EjlTs{tHWq%=UhrEJ97U-tbs`JbH1Z?ACWW$E04vEuL6Vx;ci+IGJ*VJW4
zYhC32aX#kPKm1+#J(exDg29D-Adk?=LOh^t7-pv&??gy4x1MR=o=H6y9dy*D>&Qzi
z9a6YyLca$t)K76zdq#ic%WI0h+bxt=k|@Jeu;a_+3aQ${snSQ5tpY6?<NUg$AF>fd
zc^1Sf3&T3ALpduD#To(q&<^AgUw9IYyc$F&A=Y}U4@FNjs_x>PlU6y>XuojPcBZQo
zq3(lHEt_GaZ~kW9)${x*^wbh>r7xohFzfi|&~q503F6H;M&`Xf?j=wQCfB|u+AxGw
zk3I*BuQpfc3KWAWPi{EvS}Bit`<s(oI@;%3##gch0fQAUO-g_EWF;v6ywU77S<<DV
zpZUU#AYfu3+j!<ot1Cw1)5Ako?#noS=CsZt%bw*>qq!_5VU;*Zw|2`}9rjr*o;KFq
ze&#(8-@oG4D_=WW1qetQzI0Q3?cM~URNuC#0Br0lWiG0-x@#?V6HvpYP`)|>fyM=W
zf#=ze*o^GLfI!g+zH&}pRIl>%CL6qy0T2knY|9NYf~q+4KMhY_^LV$c-)aUJ+~7;v
zwHRd6#NVc;Z3z;I2%mRtopdwBe+2L{0GqN?TgKY1p{$~$+Xs<y6#0tBSXH19!C;|J
zA{c8Gg4gQhw8=o?NI2@Gs(yo-(0#VHcL*6-5CEB6!16N6$^o#;BW!F{1dmN@ngQe$
z(E<ETOpYDk)~cb*L{E_0r`-N<(^2dm-E)A@!Gz|3T_gKbfAmamFY=9RJ|>pMglCDE
zf%K!%n_iG&JJk3QiFg^|f^ql3fGC53x;@Kl><T1kIO2DlBwAcO{N*J?&1&@Jd<x~a
zS$gaWiDSIqb)pw2&Aqm2VlRjK?z9mQL!WlZ30*@br;qf>2RcT=8v$EAExPpM!rM^@
z03Z5Y9|MZ`qHRRY9XP|es`5Oa^ADRqD-AZph7i;r011UcXFD5|Od<R>eX0>#Uv`=w
zJfLs3KL?jb_~sy#(!^y!Qcm!%Mld*<=`Xf9sm1mi4H?%@q98#~C$t7#Cy)AW*)qdR
z$Owi-Z3mw0J7XR?*jboQ^s109UE;x3pMqtaScM{wAg3!cwe&~#7A()UDKFtg8(j*=
zixyLA=UmXtFh3X@@rht~o#)2Pptvwbh&KQgCxZmt80#_Elo&|xPH*cPS3(nZ6ud0B
zJ;O+(Ht4OoW}XXz7X>B}|A^NTRBwdJiD!nFpdvHCQ8GXd8-wE-gBzp_yx+|E<}JZA
z5riLD_A^GBG-hDMfR!(D0=(vhBjbifY9g=WUTWe{`{BVqu5z6ot2kpbNBgov!kiXQ
zD{JG9g1Rr_dQ#?pO?^BX@ti@}`8nifM6%ETkrt5~B4hEk9xV372MH)&7`(8C>U`kU
zOZ=<XAIGU7;h1^xv?JfaMVLfGb<@!fvZdi`rW)BdCY(PUfF9ff5EvoMg|QHLInihE
zntCG@D~)*_^xV2b=(0;Qe>e#kwSte1ifX$VA%4e`6=P-Tfjsk4zEYiyzCbitzHf)8
zxQ@yPsRO-;D<A$sb@Lc1>F3OYga8c9Mpisjm*<}l&6(UPu#n+fXZ=JT?53hpJOB`a
zQXegi-DD$F&9AA~Q?as)mF$;zv;N=SMRdIV*RIa8|DZ7c4-fxuX!iV{(xCrOJel;G
z`e5hx-rkR2E#C`x$9(__fOZOR?#k+FA3HvOgiR%867~+|6Lf@=l9G~_4GdzKK@JST
zTW~*)o0PnCNfCl7W<u)-)Pi^@t>uQ4oLnF?{{f;o?mb^*CDZZaBybw!C{!~vd-jwQ
z5ApM>A*~@tL0bSgx(pAMn&%Lt2U+p*<;%tk{xs*Lq`W|gG9MQe)q#$R`|&Y>8or(_
z=nHu-u!V~1@-4satxv0Z6L`YJ(02h^MJh{%<{mh%7~{49oZ8IRfH^bUmK&!N&BA1l
zn(ZeV)s))=4p6tA_7W1^#Vlg+3IxkX6AisB_#?2qOf!DqxGy7MlCsk6k$={a>VH{F
z@BhTc{lCyz?7w@MDiV}30j9y#1VLr~3Zhn4>{WlL&10x=V@*>FmF@F|DcAmO;cZk5
zUONuq0<Xu)lKg6IO^vd>efAOA&^UBATtMaJb<Xxrf5vt<|05+D!1{^)FyM~4P_f4&
zh35~Gh1axj9!}25L@yU;*-Pjry?p-s`J~c+58eZ%V3!}AXj~y=qi{n<|1<=#u*5@x
zNyn{w7w*&!LMft2it_T`i&MnKSscWc5;A<|<6K-^<%D-3zRuc)f_C&Qz2?)t+z_#{
zyT|DF<5UL)SgVB{-MGt*z!K5H>q7)=UNmn2P^CiP-=@U}UcWnC>IkTG>%Nm0%W0tt
zCds2nw?ht{fM(o7!dFLMdNRnP?yhwL;}*z?w#&Hk18guWN@nTT2iKVWee=zHxZS&?
zkL_>Gc6~Fh!AYDf+1OL%JCqnQ&E{dT&#DccUThN&F>DhElTDPn_n|Jkx56OfIQQ%C
zf0tD@X2Uv#nBgDSDjt{k5$<~1q5JJ$M6(ryy#DAe%UeQaymaKTdEVfW)b~dESN7$^
zAI6z|VOB*F%1PE6g_7sCs^`}-Nmehr?dO<zh2$QpW$Dq2U&MMQe_s>%D4RnRMXr?O
z;XI?ZNrj-+Y_d-Utg`n-J&WUhpp~c<<mE|`fMyDvA++U1=M#r^fhu}AQh36IsV0tF
zw6j@{cI_HI@lCe;#nEThT7jybzs&mVJ^8_%1>rYNhXBDB9Yl<z5Z#neqnaYB<;}L5
zuHl?R+50mr@Y%B{BxVwVjnCttodOF64LTuLRrOSe4+ZE%mU5pMxb^s7Ex>g?`w>;|
zSMfr)2?CoX5t{(<y6%B1`;^Gi;&NH2q<hQ0_FKrylZjqB5-U5qqPDiSH&cQT{0o$$
zEF?r%0W{bW4?%|e%+K!-3BTXnw276Xw0?peRJHSwi_nN8mC`$KrPmL{51=Lz(Y)y8
z#k!Dn{3Uc=&Pf+wRy3N?vOn_Rr3Sb><{tqkh(`bBdYK;-kgekdP%o)eK6ccH;#KTo
zTfny3#TykNYxUlTO}{hr_Ip_BHs)k(CRA*}cDOb>%IwvnIkWkfW>vn1Z2(4F(U2B;
zS~eu4sjg(rZv(#ELKwE5x1CNW5D~urVDO4wYsUeW@aR|W9z|o`u(k#odjPq7CKTwv
zKaPVMM7jFtTGXGTuwB^y8$$t*Jfv_9nZ^xE0bs8_gD6S@HLF0o@6XeoMM(K|SEIQe
z8hi-VL<gZ`rXWv6Lv<>$<RNs?DnPGj2M~evc)a`#&Ofh{Okm!qO%fPR%4p0ml$#l8
zIYoK-=TC2sUpYQj@}~iuDwgU0ZhFAK&#?0P?>C73H=_pr^U42l@WOwt#{d6U<K}8@
zXPAV9Qr9Y@N5{UCqzxM-pOjsVXWw)#d*=?4|AxjFl*4=WUNjQ>esDvh^2K&_6S0K&
zg8^I&R%`D4JxTNZQNZE!rnHZ&_aCrxd`TaFa{c7fpvA>IUEUi>k|%ARex<Ih;J2ae
z>s-to&z+M!=~Qhf!iW?2W%pnICcpou{HT~Lx%cWBxVqP`U;A;E%HO|svBM@$(eg&J
zKCSqVBH-PluV?nSFvJz0M*VoL)CM%4bbHRQoy+kArD4w;?gJX8G@{u^c)op6f1sz~
z=CxYj^YG#Ei6X?hgTXs~DEn3QvQCr>(b3+2`TqTT$-o`{2dLLqWCugi*~ZYOK<&BY
z$N7#>CG0kBuwmG~Yu77~NW{}14%OsTiK==ag=@R}q=}i6Q`XAL%8!$YwXC8-B5!Tg
z^O${uJE^GNvT){+E9tuJ^Lr;84{P0LNqO^a)4uzMin~$)s)^-=#>t}@fkdwDZ$Qb+
zq$x9P$#(#xc{nqqACk~OKeQA(G`Va1{$WUboQ}#~%=2bVR7wm03&%`CPdM5^A6bgk
zm14F9lpo}pRri|OT3<ZEbo#V1GHG%Y)Uml8V;fX<3*$bBo<~x@M+(w=@i&nJR{&RB
zz3Preq&VkVjL)&;UR$7aJve6R3T@5Bo?mO7=ozN-=)SQRmydFoaqvkq$C^iT1?f{*
zV^()|{%p#(ykwCBZ9@u6Ulx|#A9GMqy}5DXBa)wAU;n3A>i>CX^FQzSKMnlLF9+=p
zKW2<nl9=*gZDV6M`JDu9unLk^1%MEEbl2d{U$q6Cq5PE{Kf?KK#DQ$G&in*9o`rq|
z4xJ)RtvuU0G&n(G!gTr2ALpUU#rn5)=?OGLrVve*pkgmWfd>)Y_X)>LG>H=002IZ+
zrwkuMpRj$<`rl94d4>BQ3&<phQ40_?90P`dAaeiOF}TFR!9iybddwtfgr3&+KeEjF
z^J!Oo;x;(4)xXx0Ad!uO1<+4^H}TIKQkiP*`75<+d|RilkB`q)mVaLn7Dsz0=P;ph
zWG3`UUcSDmmdhAK6u9BuBU8*oA`neuH$MYfB7z*&5?4eRsygA_?S=}sO>g-4tk7jA
zZf<VtFF!)}Mzl8!+P2Q-74B|Im?>?eeVm-7tE(&3en#fh?WT)?n|(Qw6qfpvt9r?$
zR%+AwxUvT;H=BDVj<K;x6Vj|WDYL0q(Pa|kO8T53Xi_F7ZK$~g{#|+k=v>%;C$v?r
zY}mMW*Z%#9sv+T1H=jSJ{X5L$+pkXI-<PT!@#TwZk(RPd<lq`ck*oMbnukL-o5$x&
zAvX|knvB923Qj_!QO|<Etqn4i9c+ByjyN4a)^?JsIieDn-|ld=xW=1a^A3%euk-3u
z@yVUT;(5S?s1)TJ|0#$uX2r#Wl~hKP3M9AkgJzh`q&>EMtLQ?VFC;XEN<ll65U>y~
z8+cH-Fb-NrN&)zanqoW&rupKV;DKwj_c5)3gETqsYMtM)Bjp%R@3L!28Nyq_hx?))
zkG9cYR#XId^^S;tUW^*4&1}9EyS{pze-go!@i|<y>TvQwQJr!z_an~_v_0wV@0X@t
zTn_4n2(pW8ncso8-I4Nv?$(?LF1q)1mtc<62^odd!r5T-CrhI<TMTgPac+A<F+lZ-
zW9jJi5|_EU*D=E=*q~7;R$A;}cQ5w*tL55M4MER-gwZRGi8aGBm3pN%47+wI9PZ8{
zvK8xG&1})^`)$>=cedwtm=Egqw~rPH8SF~=$2><Prop}RBj16?SKkg#IF8J}l-suf
z^We^kMUJ^y9Be1ln`j3G2f}yc-*I5u{Uf1!U>LK<a04iyZ#-<V{bR`ogD+NZ-x^~)
zMAW=cx+W7^I*3&dw*LWjwl_sauD6)5%)wxbg;K_qvv2;CBnOAY#I|)p<ylNLoih`{
z-76RhP^slWjH`fh&oqJO&$);@jZ?nIFgV6lq)RODPX&CI=YiMF9Gnu^<&~(aKTo|$
zM?<6cZ_59+_rcA7=kwk0`p+MUHTr*EhXm!Q-&=HXeFG1Z)_KV-r4MX3Qc>OY{=I_R
zPb1YVC@7E&yrO^qS{#x@Kh8B&H=peIz3l7?-E8$9lQm*_-crWlsw!Cng`26;`2YSj
zwB@G$Y`AbT_x@sU+kO5gxq7Hs1T=rWI_-aZinnKCaoMCH#s~DfcHblbYpAf!64Q*(
zR7j-Y#EhMVUM`P#WYwmikE64>WfX|vE?}FOi@O-@eE@?K?fQhY4J~kNA|l#Em%8v=
z`zt8oC1T|ws9hNC1A>B%L%T^d6d3QLx+sN;<d^B5&3ulqQ?xv*0ZuHjF`XDAARWjF
z-f2bY+XQ-nO#xIcU{nVSDK|IQ1kGiZxz}ie(TN9IEe1&BAT*2Axkb<@4Wo-SprYsa
z#7~IRGOw2WP235=Y-2DNFOGHD`}cPXxbi2R3-PU_{STGj`E9>P>acfD%}>AIB^L(~
zJE(buhx#$b3E*^ztB6L6^>IN#4NwA;i_3T=F_x_8=eNz!D5_FR42m`(^-lm(XhMv-
zn)?RnW)ha-pl<~sjWmW-yM)eFBm#X*F_>F0P$M|r2xX@Whvu6TQOi_RCdwa#9UVr#
zz%eH$iIIs3cvWq`W^umABZkBYSbu*2>YTOogcLjE(Bqltas?QRmKUNZDbYtwCXXbb
z5lx1~Xp&FaTT4G<3<_G~4if1A;(UU<88OO$Ew$h<iNL*`XGhc$mH|y;j^Ht{&d4|#
zK0ZB~nCV+pg855KT7OeL+iAV66IVP00Zq=*uPH}2=?Uo*IZANs&8x<AI5iR(xN+ak
zujWdijwQ&`?KZVa#)1tzypZaX>KRvmR>*%fS0mK(-rnBUfgTutfr%rImRq`rfpvfd
zn~9!><dDF?qp*vpC}yxC{%w6gbOC=(V<6(Q`2$3=e8lQfKLK!qluyJ|%<2fy;&%+y
zO7U5T_wK)gxNStZO$;+5gwB{~L(I5AHRlYq0;X*cQzTi(cTusvqy0Uh^X?!TO9&Y<
zxLcHPqw-b5jqyw*;*lkHk08W&=HJ{6CY%)#4HszSlrqb4nKOsZL+4k1z&f78*T6Fa
zk=zh;w`>!R;H3e-@?3kjR^QMNZ7>{f*rAoisF}K@`Kc_ZRy!b-($5xln!N5*sJ)e5
zAoG0>gRcZc+)ys*KdcDk)Jg!eObqiOL{E0@7jSdEJ|!-gL4ZL3#!&i}R6wT?1=yS5
z{H`DyEYMD6dHVgYxA)GEmE=Rs24<jQa{sRrWuF1n1*sk~3#GnEY@!qyvu`4ysx0`#
z@WQ_?$3llx4<1}?&<qn{*h$3fES#zftrl;Ijt*k{2zV-Ww6hV77ITYs3)9BLbcIPr
zp&>BDP=l%H=HuNo$vl|(bFxj?rq7#T&@pFm=>C55W3O+3u_Yu~U>B0WfqopGNk9P(
za<+*OCHU+=GlaRHnMst(TX28`9mW)KMEo(546X;ugC!h>HYobM0acnjjz(&3A06B9
zuN!-tO-a?^ieGZl2S*Z1Ffc^F1dv-EvsNBh(7<ECF=BQpICf0c$k;T8);&Q|J^aM&
z3#S#q=Sz?i8WpnGv7Qa!<6q(k5M;u{#6*ccm<DGwpY*~HKow(*PFEJ^Z!xj4Y=9$(
ziANBSX_!3sLQX18#y||MNQWt?J7&P_NRtUgJ7!|=yh(zZul0@9D?;ZiCo+GL7+ncr
zL}^M^0`y5QFo#qUSt@3uXg%Cshy}rrRAt=!1#?C!R-CxszR0o@s50|l<e^b$fKtF0
zt*v;AVQZ_2g#U#!U}3`7BMFrJKQ3(nM?bd^9??H#6mkc06y!63`Hz9b*ySUSkWM0c
zdFPkip;FJjcvZa}sfskI9)ct(A?-wEj$cDqGNCY&Z!5&p$x%AXLn<r`tLR5zCT$b?
zarU9*nHOj%D7ki&n3X4OlAHhsCMnR>@Ft0&o*2mn-X$h&_Ajcv7vBDgoM)fox{i=&
z9zSv^-Fn6do$CT_3z-DZ22qn1ToIWWvuiFuHbwo<eSKpn=a>oq=%2!IVr3lCgG#NV
zCqSXM-P;vOsItgWu@UZhpU!>(Bm>D~Nx${Wx8IF#oj3y#%9@g|d;S)-TvN2NU`ndT
za87OW(OW%8i;h&8Bzs{%hcuZ8Xk!9k_^3@8f8jB|jOgyiQG01JDgxFlckm+wbwms}
zi11j+#aY=i(gKy?T!7#{l^4rrQ`;*gWn}ynPf`^=F%B-#xGL$n8L9|LGLA*nmb-=8
zsc`Jf>sC2Za57CG;(&do!Y0=;MhH5jFdIXV6rD}<-$pUs9!+2Ce1uWZ{!_YoBDCAP
z$Wd%5Zz9|6U@No~5vp!o6ZY;I=R$Nv#Qpf~a68_Ym5~Hib1aTwjKK`fjHCdgNx+$n
z8ZVXsu}S4DKaE(rSU(>g<G=C#Bi~yZng`#8p0Ut=c=k<F8+1rgW)`&fF%f`?6pXQ(
zQBx(>FC;9kez^PX@2_SD2RNi(7+OzsHhiV1)7)~?O7fgW4O!Z{o=Wpl);bgvCJ-tQ
zbrlx_9fLb2Jmn^fU+ecp218?+wS*odeLx@Dz5+Df>huZR(oP`ao^3uczY&BIGYP6Y
zgAX$pqoP*7ZCB*IZ)l=;!d!?Z9&!|9aP&fsmkD`&P@(Obr<G{vNNPVF$fd(cB1W4;
zXDKVcC`X@>b@M#BIT8!0sRC0?HabEPm<SP10w%nmRF(BF68Oc0-t1U=q;6B}nE|w0
z-kw|2Q>s0HHmDrtL5PoVMfa~6VHIFY;m%T~%_&>si!i`QhRg$jF+rzBoet(Pj)Yeu
zavN~Kft}EGlj@(!iKz80+`7gF@lib3xj=Py_(7R)AvLlsI_cHbP4y8zCCS7*CfIXI
z<0K4i2(ijAi$c{sY2ftMG&lxKTNZ{JlH@T174M_=jg0{!;wBJDD9>3)#q-q`f6|n<
zL)O1mH_jgQyWe!_U5&kj2X@EwM-!;2k#ZP4-1td0l#iH4ySDTbG660=?$&#MkE*bA
z``4_GCN7Z~-c|-bsDPvcZ+B-H!$nxnoKf+>T#l+6ufW$4{cKTF!U6r&Au5p<0^3HF
z@l=A&M$6|j4e6`T@1wm+CQLwyJe?7-ob<^q1ZzVKmaCuFTY^%!YJ9GWM`pA=R{;rt
zfAg>sB2h}=ta_DcvNtlI1i1(igo(V~0F6u>zMz=n$e6)+4x^qnRvle)R?I}LqZ`iq
zPQ*X(t;EPIVqO=~6?f--mqV9Z9#lm<7!QMDSRDowgNDc$G=bFo*VXwg=|_{6{;W6$
zJ9{Gr3u3xM)T8W%TpL5^r(AkDiLq`h$D=;~NcC7wM2;E-3LP>eV`7v{?r<k$FeRN?
zWx^1h6NwyVIu{S1kCe+{@zGY&_5tHXiiQP=4Ea>t&!0c7n;{{?tmoEfjMrN4`R-T>
zh{O_Zx8#(pbdjIkYoPnN0@2SEOjwa(hw^_IQvyT_p-=05Y_WyvYueJ$Ds<l6nafB|
zzg=isg;Cz8WP(nLp%%qyX~cxjB+m83zTY$n#4sZ$<Jf*Dn$ZDZoV5@e8&Ms`6XSxA
z94lP9<PEeOvPxb^i7_Tw9t`y{2X~x>8loF(2xI3SPB^nwo!CNf_Gm0_Bql|{pQ%72
zfVqQGQd05=kKrCGPPh#j3<x-0$CT~3A5(D_kXiDeXOx&=1cV0@YKU<_Xp121m&hyI
z1#mK7AsVb(WgJk`41e>655tVb(bn<WJb&~wF}oCza^Jpv2wnk*0?G!yhHNIuNf1;K
zE*~F34BLd+V}6pL%<~iH5dOAO=U#C=%tw{xbuBo?SpN>;JFwO)gG*cyZ$E`|2D0(B
z#deJcUZW+~Y}?NGvy2BB6rql;v}SksFYLW%RFqqkEm~&9z%geqASx&*3P|>dsX#yx
zC{lqaC>bSZIC_j2i=^a?WJQ8x<3T`zWGDd<3oH=HAo<N*YWMB#+wb<fW4w3A8}~B&
zAy8F(-~RSqVXnF6f`?wFZ}9XPocPZo0D3(SqX@9<;f5C-1MDwF-b<7DossQ-+Lf)B
zLPHjE_u`T8y?Sf-+v>xQ`x{8Lhn*71xi;ON6N9{fv}iEOJXStQywvc=x}WhV6~gC#
zKJqxB-+9~Sf}ynNj!L6?#`MVP=%YJXDHp%WSx@x!1qklA^)SVK)4t7nD~;5&!0LE1
z?-QOYfVC~U4@777G<3h{84*OqK_d39+53Nlx6+lP-<Ld>zqvQr`nvq%_^S(7$3rqA
z044;FKvuDFmnHlq(P9{cHUu3;B_r2OEfoAT<F~g~qNVb}Bc5j0tG~GbFC{2{zwYND
z-PCTq?tS`<w=F&^%6+^%oYNr%o>0O;E5eR`w5y{-<La*vw_z=<kNyh4Ezkye3LE0$
z%)RxmVN}8S<;v1cR(&l_@m#r!+j04_WyP+!KNf`{xqCVO_DTzEix&OoTmaEmAkm;@
zuMxsTq!-qNiH%q>H90Pd=kw2{yxBxWOE|ap@-PH+f)18<+nW_Jw!K`?rw6fbuO;Ue
zP{LCuG7lj#x-#O$ZBzkg^=b0+>lr|zCQdFY_*tJ9t3`tlB<6MDPty{W5O5<dBQ<=I
zni_S#l5{W7C+ZSFLBavKt-Tih<A-At`dT@F8k*o0-H$6!hK-ye8qrhmX%Y#?yq?v(
zyv8s(FUJXkzqto&n;I6!?w&jc9t^frBnZDHjr$kL6EIC#dCA5|p;HJCDzT&YgPf0K
zO989`a9p6wl>(Z71Omb;m(>T;<BaUCpsj@%Bu?|BnnLktkuc#iL%{Di>Fka{99qn>
zHbL<6(t_7*@YJuTLwRgZ^u*AcwuL^|v*bRDcM@crc|8TNW-rGP|5c+!Q<y!mCYNLs
zM1~wGGL?aTl>{hQwEQxS*bt^#JiWCEG!<AE{DY&}{nUKoM;~Odoa1iR&*kPx#E13T
z{lcdxk7t%#H@+WLUtcf6E51mc<jF{l?9i*>B+Y}K^~WEFeqmh{R)U{r<`&#Ig7>>`
zl7B;BrkXsxQ?1+{_scuH`A9!OO~zu*YEme=-?4|bpLn<lFkxK3fyEByuV1`imGx6=
ze|<v{-MZymuilOd7jb@m{#U-7AHTX}QMq!gxBWeEmYwOr{%=Cx0E5}~xu8@zM0#y*
z3)rReH8_rcKJE7F@Uf?;6#|ASIjT9M2f{f<0q1WP&h(C^R>G&VF8auD{oT@2hu~(Y
zSTJQaZw`3XuXb{bF8-R3puwD6WIHcgR~C~zK_FfH?3)`Gi#d0AIDqZjDz~03An?|<
z*82;P8_spe??2vg<r7glM%Z%Ob|<-L&pm5GCarl!6{AWX`$YKcDthz>TZBTHuZU}c
zRaad60h`<fp*WT7q%XF9lO~T1*2L3uG7#GNV*4upW}95p;&QohZJ|VP*_jt4in|!_
z`&xDXX36g-YBZhvzn_cI6X{PD2s>+(eo?|G#h-5cMkpzs6@UB&1U;3sWDm=GqBL6U
zE12%scNQ()T4-nRF$q{{3B85nP5}U2oUaIl^x3(PXb(n$3~jELoyI)BeiLRo-w_Tz
zDRkn?b`(n&%GSafkpK^cTaBKdrU6T;<2NrCg^b15a^U&Vv6X>5(0s`9*N1#cy)epW
zhRwOSIaJO=wpHlY&()Tf%xZ@B7ji5>XrUp_{p;sHrg!m1gahp)#)j}PwVPbu0F@F%
zB2{UmS=@T@F;Es#Ee6r<u7xN(*VFE&GA!F-UiKDq0@B?|XG?J3@bZGPkS-}RBi%!N
z;hybU_4C=LY{Mw8Cvk|x50!aMoakNI&bD1#yIct!C&F8wT1J)3S41!yrTFBwNx%c4
z8S04pYXH!|{}K&dfv4tJpfR)x4?(Gsw1>YeRH{-#?<p$ONK5%8Hna}CEiNywgZj)6
zXvW4U<&dcjBz+CE%%%b!izOx^+pc?3lKU8fDd@R|L$8RWJHC1vbc8LDuqt2SfYoJ%
zSvBi#cAN@+C2{mYeNVLg1mxh5CF!$a254yg6KW9iTF7e5ufFS|lq&tHyDlXZq1_HD
zslce^Wij|t>Jot8!}r}poQo*oQA`|qUXJ@OR|n^eFWAF|cJkyOt)>yze{M~_qK*M1
zOUIr^RQ#BHlM}uJEV5Hi7f5%*{Lhtdiin7KJi5_(=MHysBtp_WDt`-d%_#7YM`QV>
zwk>kYPq<HC+XW`8wdT}?L+LhIy0>oLe82}#e$+L8KF#pX3m4w{La^osVbX}=Z?qo(
zAb<sa&T__UuJNmcB*G_?)_$S_Am2QV40i}i?LU_1__bm)f%eF_0BGG2W;6_w(2wk_
zAjdpCr@UqX;RK<-y0)zN_Y0QL_CtL{V!`h<nh0k0w!XeHqepJ4kGlzRl19&#hzRz*
zffs>Cs`f9~ynEGrN7UsJIlb(vEo;p(2oTvq|9de&3MX^NvU4aZ&Ca#YvlKpp{=ebE
z+KV}(PJe94WbUSa3(9G#y?4a^5egq7!O*(hu;kdD$B2xFCn{nW&CVVE{BPk#-wbSw
z1O%w@uv1;D3w|6qp63W%i3FOS(-8)N@+OBf3xG`~t>EPquG&v3gBF+oLjpHI11Z3U
z4mY)Yqg<3oop9?RV$cXHASVK$0x%V|fkTroA&F48;YS1uTCkk|-Jba2r6B-PQQ(4t
zMhYl<G^ZBegiEgFz%f@r3IaVo*FTAiZ(MSn7^w#j$Yc;Rr0Yb9At5)^I1?4eM=>UW
zDGvU$l%|k*XRelvW@k!&lEDtowq-~7>p4?VFsr=hKDc#qD8)k^xdwqj00HX_{(DSu
zYgG66AbTs7loaFBz>io5*?K<qJ&%b<f>*YRA@2sZb2O`jXlWAYf>;+<*WBcSDd#(o
zPKB!Kj&w^f77-#NX~ld8HOoNU2?*1bTklD$w%cf;_0k=wPy(V@qWy{NjL>?yt{+HH
zNLq<5Zyz8h;-S5c(g7kyx5(#`s1~3c`gBzd48oh;$1Q-omIg~@7LPBkM;k5=yf_`&
zFeI=>qA-Y+SI=s`6;gOL@xXOe<BkZx0;ot45Cnw5Sg;f0(fEX)i~(a&Nb&%im0%Af
zwns6}64F?^wNj&0%lB<iml0pRymLserkj9E_^U*KnBl`<Z1FEyi9moI`_j%$HnhDg
zH~~$I<c^>#e-a%qNNZGfii?X!iOouMy`y)+sm`s>Y?lvgjQ)tm6W1Hp&=lgkrsox6
zGW5*&Hiu9-STn`m2J~XGrx3z#=1zJ5PAb4u(t!naMH=AE=nN(-Ft&;?71da^<Ks(E
zzXQk>h0!MI%kFi2`9g$l3AGs}A9b|LB`_-0m=^)SRv)Rx2h223J<miZmtS314G=y>
z>F<4xK93&7K{46S(G@*dL@O2VOoO<FYN4o)wxIRXz0&2uQn9!a<ed9{)Fa0vc9rPM
zqWf!?&23ik7!(~8SlfxRKaedVYu+;X-N83GGydFzYc5M(ORWCusqTf+fM~>FKAQHe
zj-Auv1=9)G+xVlTQ5i@j|A~iT(2Z0dlb{{h(GepZuGbT8Nt=-D9d+Gym%i!Bz^E&M
zKGE-~Xr2T7ovag?zC`e0*l${P=?k|6{m9j)o9%d?|8pqIJ$~HIYUMS4PQ`B137jfF
zJ`7Ew8>CnLC+O?z#_9i$!B<kf_*d|C`Jy|xJIFbQt8Ug%zq3I?wcy8FVOwla1T84$
zcEL#d@yS4lm53OuREgAW4U!iudkbORLG;mSlUM?onn?iZTT@6J0DNzZ50gY=>_t64
zh_W4LggCXYg~X^pko-v@!E&X?buK%YL{U~mY2TVK45>I6V=~u@i0W*k5-<*z<BI`4
z$dli-^}Pe`fE^2yIM&qTzIuawOsa)~==8dz<2&k9><Ydoops`FURdSMv2zhkcqZGZ
zNO2b@1S6lMG7y5T-jEu;1%fM#752i<5q_|5ZVx$$&Q38%9V5~Il!^ib(P2QH+WFhl
zLa5+>Tb6eK9u}QxMEr#f8JWe((i@*3c%oLqA1j{N<Nz7BGbe{}>IrG#r4dY21%$9_
zo*2jz;Q$h`px(09J}Lab#ZR6@b{LtaG4R@Lmj~h7NKpx?3D8MgYR%<23ojRLNA2vM
zbpH(qK$CW188qZ;KRtUybNu<kljY&+9TBt?J!dq42}`=$p)58eH$5Qta=P&CTVSbw
zjupyHg`*5cFa$&v7mk-tpG}k$=WOQHe>~2~Em}WIUMY99JrLzSrQSY}5-=3tD4a-i
zM%?4l0QWl@N7Yk8100)l-Xf(W^BFY7IV<`NMne=ixXzlp=tMhOIqI32S{5QBNPU^2
z;vfBE&7;4VSOognVBo`eRA#_Ex4nA!*?qJ`UqNzuXz(*mbTr^{Mb$@bS}<t;f;DsB
zemVv%8K3z{GZAv}Zm|Chxw&UiwI^r4$|2{qL2(S?Y*k9)O)F|;N%ko6I#nM%X-L(5
zbHl<mCA#UJc-&DDZ_{^OZX*0u(SlIW<wbb8UDu>S*v!k4S0JH`?6k*Bb&WHsshG`>
zUCi{0jnR+vJyp{c%da=0VQ}N;5RX@B5b~$S4?fRgae!%cwqOhD8xNwq++}3;h#3Ku
z_BNU0+$S?RSY<T#6~Ku#vw>_xR?E&@ZZ+rf3s1Cr&n`IXZczT}U>NC@_1AGp(aYlt
z<{hbw*G@2nZDvFvKk?5Yg2S&Hk6|;HxJrXagY3_r4|``vqMI6@kBxCn7Rgbs4iV2{
zB<qgxXvZ1-0|SEQTUTfV2cAqBIhmQjk&s3R><k5jE8ZDI1l-_`piWiFhvLVbL#LOg
zxFq}v{{P@dL_$UEwICt*#qeKxS-uYf0tDEfUn=+Q6`3V3sk`HklcSSUBC`xq>edGZ
zeSKAw5;d@|hBFzhE~O4W>+-#M=ly|Po5xwe;0dv>pUK(vS4a`A|5;*fJn0$$yd9QG
zHf*9BA3wie&aOXBsE=qyhX=_glwC!`(i2%sqiAniIW)1@U%i9Bx=W_ITYxw%PJI<^
zZ>F&R*~oW?B6%l|qpXRPLHDLvc&h1`sP<a*Ja^O2u%|yO>6BN{quL(#<y(LFd~=Vd
z2ib?@MvGMVf_p499-VofyLaEL&Hs==4zphwHNol9OkG~@A;=cB62-V}!Q6hc^8TEq
zUnnH>hr*nhi3F5i-Lr9{Ws>^J`j)rOR9+e9{n%BzHZA(wX!Tt$v-Fc?<lJS;H(u1V
zvpkg7EZ>wYfSiE9$7uF4Mub5`w8^jplru3cAi0t_<Z3;of};sIZQqkr&&@~yQVJ~T
z>aWv8^eGrZJTKIahK<mj^cM)1ppKXTZE<SHb}E-T%2V4W_dL?rfte>WsFj?$E&9_q
zGBzlp`ZtX4*%S8>b<$!B8zLtXg(OEy+f03SXKwwQe%MYY&G8*p6Q@DX*^n9uzh=-K
zDH89z#B5CW@a5mje`qP}8VVk!uwjjuQq}C(ws_Q4c9N~)5w9xs;Uc~IO;@u(&8psj
zm^j3S2_Dl^h;kTEmqVy3n9IpP&xrqZ)BaWW&0$ohbQrc!*wAoZkJU!QBejx9I{{6+
zme%uMhue|rEc!lxm^|7K;gmLs6{40sW9pnTQ-?Sq2W%e_ak0TEqM;}(_qwqVx;(V@
zhp}Wz5+4<eG*L#N+R%pD!K@pzf1mt0)xbnljpbcGq6do+Mfz41ERMdmJ4FtOn&Jys
zdMzUMN6;IjBk}v~e@^(ZuZmV&O_e)QygdHJu=)bW=z$p(xU_9l81O3m$2TyLq*I?H
z33nKeht#P>n2$j?CRrET_1+h_4c{Lw&E58b0O0{oRs$O?PTJPHa{50<*?;`sqwI<Q
zBb2><ydF=Ju=pm5GYi{3v`h_)PvV&Q@u4uj^P8KRhI$!Bae2iD>^*l4p)!JCdCS-F
zHV8I(I_+otWi|W#!@ZI34Gi_1+1p_C6^V%OWp80nl1Tv^JJ(ljY=TzZ9_>z7J4*KV
z+5c{-<LvEFDBGCg!(P6;<1rA}LNxp#3iH=*z^$8f{!)p))N9iYR66~l?q9xAFg27y
zWZVJ9;YMT7afCj|qCJa%?g4NnLUKgg9_}EDs12I7LA;={$9+VK#bU7m;?r<2FOCBT
zB+`daHHtnTC@fTQr57sVst~~aH=w>H1fR$q!SG_ZqtENslSplb5az@ah`;X)AbtS?
z@e>I07sO8plK`-RdO$DI1mQEIn78fu7C2DCoJ1jS$Ll>SKm#PYqzsaklJLe)`W{TO
zL?YYf)JoY<;RA8B$BEKEo$_{S!B|ZSAC<tEcocAw+kiZi2?q=^#7AbZLZ0x!RxV$@
z_4OX|mr*_-pgVA<T{Ty7BE+H<$Fm<NcDfUXod;(l`NQr$y5|v8D8n1=+IzZ*=sS`m
z5}W*#u5M7X>wpsR`6#ty{>y{FqLGmogu8$i!YDB)Op_{oJfftZsa~GJnsp+EHvqrI
zLB94R>~sp=gVpdsmH-h-8A#RvjtoQ+fBL+N9Ehff!g0=&LFpsBcw9O#uE&VtiC!A8
z;*(IODNc%n-GbNG@16cD<Spx_msb_e2WRdD#=4M%2wYDzriFulWCD&#JV2%NYVDOk
zcp4!F1m#Uz#MD590HfKHG!{}S@o3CH&gI5PfXLxjlukZCA?7hE1W2IBOd}#*3~{tM
ziXrkw>Krri*hC}br%UyY!fqq0%L#npbZ5(3Rqcnv=wA&I3JNKjP_w#&jY+^8l+sKv
zQvf1nJ4J8m9<fmPaEY!q0)u%?YvP^GC!(bY!hj%^)bLO~5}+dId#R#$tH&Cmf$JcK
zfm^f1L__Q&Ev>sO#8Nt+1%>SWphAcz4bBBB!~~a_Ijel!RW?}KN#s?{Vead%mj=mH
zcMWxda6<^1|15lMxIt<KTg1F@!+wSHb&4aaJ)BV4Rs+F++EH+AMe%dmj=&NYSH9Jb
z9XsZa-eVsZDGPqkR~-fnNO7t~#dlq_Pr<A3>34mFg=WcNJI>~h{q_EDbZ?w8BHW^8
zBXmtXC~QOHMD6_C3z@Sx{5R>fS6#kH_xm6BKfUwFPA!q31*~gZ)JeHv2<{e}rUsji
z#_A?H7bzWjOpmwJpr2mR^iU}qLU9D*LdDc?ZAe{ID0(Bwq*!EQP*aM$Q9JYSGewr2
z6{7jiR~ACqFXO%4t$DdX#C&b1?loiQmH#dUE+tK;WH8KyP&W<rZbhSj7?NRt1~Pm5
z_RDS%3si(q)O|QCq=sAQgrUP%l*%nk@v+~T_kB0FBa|IU*+K63Essv!iPiKzq4%wK
z)j8Sl!6-607DOTtIBHQ<j!)|bfS-nmK_~!Ad_E@;VGeRw4H*G~0?pj*5n#+}ry5c(
zs^)@NllA5gU(wS2N^TfHg8HKm&WeIt63@Y!`c^w(b@>-M&D{51JY2z0SQMfw{ezB4
zIlqtMIS5CjfI>HKdvn~Pe^c>L5!JYU@yDb)LD@}#iCx?h|8L73OHdb+JUcXr2@J4h
z^M@%OfCjf}Ec|1)&`_P5Cu;@~sz$lxo;pF5ao=rut2pJBP*o0gZ2lfK9TeE{G?E9!
zP%{VV1>3u|=d&V_6(hkh$qFF}$bhLt;skM!1Tsqo&8!c4-gaDkjN?g&21NVfgSMyf
znd^0Vd^M@rFA0i=#$iSjDlmfESQB4XW6f%(AyrCcKo&b1;hzEnOr#ATGr;@P_(gL)
za}&Xv8K_+kgd$H6sbW`IeUM!v%AzN-xt~l#z6_CZncHIpZ79bA{Q`GL`(ImJ1poki
zmSx21y)681ODq)6$3{*s0x?!2cN$RboE~u?xaAO$jv6@EI}G|7;QSm!L;O@Sf%kjC
zwEOSk%+Gh~Kt%?~CH@ig=S?b9h|F-3qxsLSmv(%DK|dF%x3zww^7aO!YjPQI1Ul_)
zSV&BlT89?_ciRF=AlhSnb7VPL6@?P!TC=QI;|(xuL}?G|MSuPH@M2VE=KG>-fszD@
zLce}ofAp|(?<&#)T^b~DniTbspX_{u?kEQ572($Oq=<jYk7nO0zVzluHXiG%RS!Hf
zF;^AqS_2W`C={`eMf}|1qI(wmukc<*sua)7t2GH*0WAlF#RSYsNj5a)O+QlEu7(R1
z{X03`a$zf8@7V%sAjLn}l$%orAao`&=n67o`Kl!t18G3OEcnw;rJU=je`pfGXc1oN
zw3V*Fdh^`yfY75j6BI?LC@{!|s-Wti4iy(N_RP9Y%4Il_5HB}w<Ggjti;vz35jRzi
zf=heTscq{{QeK5j#wta*_z5`rA>e17kh7{N6>rhq@{vH@ghr04$)|IF=loi)KeC^=
z^kz3%l2Mg)<o0oAzM8dUFb`^oq=3h1{laM4>L0(~;~BqD@Y6;#+!IfUwCK}0w5$`B
z82~FHlY5Q6>DQ-+nWJ<BB_-}_IhoDQ37pBW2r!XoJ&pP`OPq3Wbl2J|bu8<h`}Um%
z14`y!svXt$pUi9~g&~GC&pq;1n61ZHkTH-7zu4#O-uZjT<jD-Y5NWG6u|z1x1C7{D
zCDcSRMHuiT0a=LaJyDew^_#T*g8LOuL^znSgzZ6`IT2|FtHGBKSkA9G+0{_vkKTDY
z<|`RQ#c%kFT2A@9jIq~o+fIJ|qjKX7<!JzTH$uh{akvJK*ETAcKLq-yd3<UsK>SZ)
zf9L&PYRQtB&7aAvK$szI@-l25QA`UFsZ*p<KM-h(^noAyUFG@%q0XnpdlnHYSS?W<
z2Gfy@eIlhe7I{0IL3P-lvy9H4Cq$$gt>4w9!@j1A9laERbprk%q(M?0L2vyM<@fwl
zY;$#(Ftd0luyDSf<gHui=w${m24Dw9!7?ry$c`jla%xVS1Yk}{ECdx7;dD~Sfsfv1
ziCPwiV27zeU(sL=+LuuV&IXAV$!SX*HGdTs&X4OtDVI=54bm~J2lziB;OMA5vJ+x8
zQtA~C&usQYCuJPq8p61}%Oev{o<HMfvH1@_==Xeu0#XgC#R|Ix1q2v%UAr$0I7$<F
zVF;fkA-;$M17sWjc5W;Z*1r~;1>>?K?sqMWy%w<I@owF}I$U;U`#jrp@zifFfZ41w
z!b`C_W+?Q-%&a758(;HpqU=ZLjxe_1*eSD;M{t5b<M~O?0eR#r(UGxr|M7~1h3~r&
zu>7Vo8w`D396OitBD#aIz;T+_#es*PM(^;NrZ=(6DjPQaWl**0@a#jHuf-l%%)KFU
zc^B8}BgwO7(O!raFWd6?$}WMKt1Aqi3lu+@zjm!3WhU4BzYo3=d0-&AEA{Y=U0PCR
z4wF;wQkZ{3QZ{C6e@flJ-~gXpM){~l%}9`QU0e?gs^^v*$k~e^d<_DmwbNI@EGQ+u
z(~9@4Vzeq6MSSo}AtDjR_yPdPz^lYpA)36<3C>T-&Ab0@?UQ6OJrd0G21xJ-YR@~k
zl=OU1!WKgFYA@Bg;?H?@#-l1QV^juc8_9iKO)*aSligMh#_Q>)UQbVyPk+IgEL){x
z{s07r3n(9#jO35x<)S9FyR4<6;yy&^Hi!Orvpp3Q<k;k7Av{($WvT8oX|Sbt3q6b3
z>&VPb26ZzwBSQ?Zn<B#;q{)QaQm%lA9GnXnhJh9tR0|6WK>2})bXf`dlcpFM{UAF#
z`y0H{Xt$L|PNT@ixW!?jZUS`jKvy)8N%TZDvjGomA0~rZGRv?P$p8XrK$sY4;UHpO
z|HP76JMLS;a_!P-DTW4fT5%gv3tLzlHd&%aB1Q_}#Z^fsg@<p(wW?r#bZW5(25hQ@
zICsWPd_5*tjG6M@$VWYV*}Lz&WH#F+<+{qtzZPiYN^#wqb@v<1JLZxt$?d*?I<ITA
zp2+^ecTRCWeviQ`)A2gLMoQzWm4td-!J(8gz5uTO-YbdZ&yTMtAFEjW2Um|ny}|Wu
zR35NimRKch71gzGFv`L>$y8v;=iwEgl6-32`t|$3<<^B(qgJ-935fBbyELDKIXwb7
zYC9AOi;yz}Lb#P5MnLJ@xpQES2a#`ECfdbyHkO?=>ei}D&iNi-o%L};aTz)doZh!u
zX9cOab)F7xOc{}a$fym5HIac+3gqp(wS5R3mdb#71hh!sn}lS_q|ZpZ%4r3WWJ5$z
ziGi^-@l7SQb#)z>%~OOyfZluw^zKo2)ZCOA(*5tYb~kGrGt-0;YJT4xD?`YmIRRQu
zg}_}DLKbZ1wbG6kl@GN3J;5xP)amT%vOz*4Dl8732Vc=jn(hOOj0S#DQBk~-jX`i3
z4d(-OA?>V%87hrx=Z@9ZtWZtaxu@r=dtM8!Czu4&4ahi83;0&1=of5o`Sx`5V~4Ci
zF3RpBc@PT1B-9HYL=|;A6?^Pyt<ycssB7=jNJvOHO{4h>yS6TjOG+w*S+d5&?TqY+
zW3v4Z_<|QYGId@fsPg~kpMQd|f7mSr9$sD2pKoks@WJ_+4V+UFr;cNOczvsO&N;f0
zWVU{f1IE*4{P<CPZrv=~)trWV+e%n^MpWs!&tiA>=Jelre;0pz10K2=os6-jGNz|`
zroSJI-k1>1?rear`8nV9my;&yR=kkKpuEzOjhN~P2T=rFde&{!d#6W3ryqecW^qUS
zqL~scIpNv(kb9tcD%I<rIQ^8azJ5#Vx*4@cIn?CfG{?Trd{iZ+QtggOG_y2FH+Q1f
zfjrr7pbd^Tl)L+tySDE$%PZ2T5^FCHZE1DJJtKvD#Ajk|ZocGN%XFP><P%@3H5oYQ
z9T*5#wmQG}>PM`~=(h`Uf!rQHUdJUQl%Vy3SSzu*kG@@<-`w-`?d<Hl?q%A!8hDm*
z5ZQy<5rqjC-AXuHcb>JEhLwK?x@3E1!K8&4KschRngzii9eTdWdh~U4Ud-!G3TG=+
z!-rnNdZZ7IU?8@WuaP(ey>!8nCWj-$wZ90Y47nnB`CurdZ6d1x04G|ku8DIQGX__1
z(9^F`8|~{iQ~S|`Vrx7KgVuot4;6-MpO^l7EJxje9+<CSz6MAUNu?#-t$qTHKRzmI
z@gG}<MsV3^{y3+Mh>c8I&BFM<N*F+Zf8#54XtZyu4@NKG*jDdh^n&oQtJOnbdL8UP
zUMhq}id5;JW{Q{s>&sUJqFZyTMSAA7n80K@ZovuiuQ`S~Fo^n$FX*BBnqh|~iT%{n
zGcPZ%^6$DkX_}B;Gq*zH*DW;J1JLeAozu>7W3=i{IbfFFeB`j!9r!3;C6>MQ6aDmJ
z09B=PR_oq3d|OkDPJuRoa};5{+ykVEPw4rl%hH%AP<k&E#v=<#JVYl}Tz~1u`uc|$
z>LI#4#PKZSi|4E*#-}YdYSF6H%Lq=RZC-x&JB_BPV?nXlMl{nrl^bz?-h70|99#Pg
zgQm|zbF~N<Vn6S6AMfrm8x$_KQDvw4?m3w1bSJf@RVkN<gY*ma+&#xO+Npt(6{H&H
zgMY-eU=DdHc8@CdZSH$ezCzF4mEh+ctGEurr#D{H+1Yt}&E73QU@jiLyWx?QTbGVS
ze8SeQv6ks^kL}bl*q`d!T8y)h#Sx|(-EM_}rWq^ZYB&G7T2Nn~p^@VPvMR0T7Y$--
zYi#Fqqr+)v7f8pxCdl|o&fSyoquV!ZTW|j4&)AHr=5-3uszSNFukdf71UwD~>wQ(D
z(Jr9egreRFWx2`06M<s8r+c}lD{?~sRf`~4DI;a6j;*|-$Kw+c_St@|_y(tt1te<#
z`Z@5C$x5PjhIGKf7Cbo88?4`LCMJ#SC8$S6>k5gNS3Q{Q<g$Rz+pS<Eb1Vl!$8w5(
zyW(uu($B(*!XDyGz9%giY-?v<6qdGA*R5OEkIYW}c|dbye7pc!jNBP39hQVhIapp5
z?0i_+ps&F078j%+ZS}b~X<F=J+f5zHK8ckDQpBg#w_NUAqFr!fV<UP}4p37OX(@X=
zO#Zv_veV9Bd-Ld$9Z~=EOz@57DAh^74or#d)Gx^W&eeIOSZ?f|PuE=a?A!J@$cl(b
zy%XoZXy(1OQoTyTW$At~vGd?6@0@0{cNK(L&<r)SOO3o$<JbEj>9sE!BMnp=?CTA(
zTCc6Q1`FE0NV27;(JZBOZ{Y@SINyCFu*f!APg&t5_%mwR;M)6gExM=xG1u>=8Tgg3
zh(J^Wo@}5MbY6d+keM|#HCX@(h;<_;m7YI^`Xmb_y3%d_x{P=M-i{fXFPD;hHTxa$
z9J@2>x9E=+)3R;zSk@BTgKbqaaL6{`;n1@!DYueTq6ve<vpFI=TM}U9S^tzwH31eX
zs9*bsW}b9SCi{y**|FoNuFAnbIc9)D;Zpe77IO0B&(e+O<z+t!X)Anwc2tIijj3gm
zw>saej0ub#)9IjP-_Bq&Qz}<d4#sjm<*VeZPSy0%yS~XYDYAQJlSsl=TU}ipr$GRj
zvFj&JIQMm#y1M1SOiEWkBqv$@e{u<&&!kZ1aL)Aq++F<sh?>~SIkvtCD-hp*K~Q-b
zr!fT3;enx{p$3!KU~7aev}|c|$DTrUW;2_K)-AN>%1rNxqYxOz5&Q7`PJTm9`$j1-
z>~R<3_j3m;6(s<(3eq8o1$nnjw&;u=Sn(i)?pdSLq}gK5&nEk??v|+>#Nc07y;D?v
zzil+Kz~oEXh;0<2D<u=pH+{V`UVYk_nLIF+QJujneZ;klmYk&~u+o~>Ilj4K`--RS
zArWc<+mg~lGrD~u3dDvoDKF;T^vs+?jJlt&e)H!vSasofs8UHLKX$=0F~ZsO6^f+A
zCnwitG)2Y4#5}Q(ip`e1<0};53Gn@4{v5Zmz`<^&H~_sQ+qHRQQc+cb$Fzd~2TN8!
zXD*Gsh07EfZJcGaim_(yCYw3~nY<zx=g`Wq&G_Wgq&J+sEc*nQ%IM5J$i4j&eIEa`
z)A<nhk!}V5QwOA$F!!{{<{pVIp-|3jTWpmd@-|afhb_Vt_kB7@kG+iIsdxMZ^D>H>
zG2!9iZ%yEw&2qCHltL!Dbh5_N{c|GHxc&aIp1S1CP0PNugk5#vtxkfjP)c9=;ljad
z8Ft&03vs41a;Cc%z%atPc_-Fi|L16(m4k0{MFwkTevHelYuB!6FjJm}72XIrgWPpz
zdS%Aqp8Vi#1qBuxHL6_(Wu^kV^<v^eXHhhl&#+pUoYfv6svIci;SNB#DtRbfEJoNY
z!<JoXpJ}JE7qdS31ZQ54_%5%armpUbU|g=~7I&yk$EtzC%;<mqS+nxVBm&3NLZ8Ot
zVq*B^uO<G78-U{HGq_GJTD1#2!g-{&RE(?iGlVHxnf!QCVPQL)ThbV#QK-`zV}Cmh
zd{laV1*oIH_3MCw+q-saezIf!xluxRSLb~-%8Tr_Tu!5ISlI7f{vQs?P(WZJRPhdA
ztf=k4bl~@>N#p}xp1fXS=I#mtasyNqYn|N4zNOHU>SpIsVd|gM7M8F?Tb8aNKMgzX
ztn`A3n3a_1e8J|$*O}nGbN^SK<^OP(|8=AGpDxt@`H24+AMwB8aw5||_<=-o85tS$
zl0kOlBdG`+Z{!2<wrhh`VQYW5eWk(#4HO{mSjfy6Qdi$e%f3NaH2PyJdL>fg$CwUr
zdExq9R1Hfe;u`fS{S9}tG}+6zV4a23lX64Xb<`PskW7pfUwh!<8IdQx85{Q;WZK_9
zhg5wd-@R@%0pG^S8L1C>4+y5H2}A>qs5G+GwyM7#@;EbB);K3VKK_twhoHyaRy$_8
zvpmx;c&n`@>}kBVQ<>r%SDC>TxXPr=&^n9jE1!nWq&UmYu#y73kq?2KNu3DN^zIl_
z=S+AdbjC@*xXWMT<_#gq)~;`|gNN~EEsx0|Z$3=BEJtILpzf(cpLOd`Ymb}fs<^qi
z70+>%tEsLw1iDVu7&HSF`0>RfdB*^xkf_@5ZJ$%?tIza>I@)_wJSzS~XsbAuS-Jgv
z;DueOOCVODSG?G4Dv4_Ha%Kv1N#{GKR){QThcBaqiC=2wux0<%d;W)*<$uHd_@Bma
z|7R`!HJ1JV`&y`lDy*)kK@{SR-h`c?As$CUm3MoCgvh)N7Y`D|4VmA+gs)WzGn<j}
z3S9`gbQIuRAg>EZ$t1zMfUyxIR0Y+wg-c^T@#PhE&JfGNOonnKxRuDV3DiPl{B25h
zXMRCn&U;LF3IYDw9^oYvZ~KV6heD4*s6fyqq;{!*d06QGQi4#9s(^3mhokFR7zunF
z_6FJ*0U$lnven3&JcT|8&TK{m4&+9HN^+`XF*h`3i~=2b#OH)5aCIgY<b{-`Xxi*t
zBuMB?Q)KV~gw^sI_y$0d${=A(a1AG=sR(vH@?souHXoH(Cj{lIItY;L%_j`GW61=L
zsR)xAinE<THy{Dk)T+-JQQ%5Z88B>!F%9ngd69AA;hxQl7cbteEY<lqQUn>aeGTpO
z>8j*Wt#E+Cpu;Esd!r62{OS4(x~96Xb+p$G(u5x!<5@mhoWg9bNEzZ&SN9kX$%b#J
zIp?CHu6%BlM)r-%Ak3eE@s$%5TJvzsPE*B7<l?6nK68_@EY{Cm^e%$@<TIiz+v|Eu
zdxgLtp;qDniIzR<zn%|RPeX2YGtgwMd{-y0s$sMf!uw<-<lkGgHXwM_G(E>}^V+?R
z#yQOFSY+Q<Tds%1zq81(O*pmFDon*VrLon+Kj5-#hZ4L3*LZd}8=<k++TLN_`_Ym1
za9LN?bj0^?oX)%@#Ud8W&FPclvDFGpu|+%#R%3>|r1hd5{%*S$QPPs}RNTfA>+i%|
za@0xfUzsJS-}g+&)gYm}|7uc(PAqe_bMjyMlgiPG6z3bNO)nOWl^Jnzj&)NGjTwPz
z9*&9@3n>*>25)&f5Z}Nc=**pgUD|1%uNwkb)#_R)3+aNUb+Jg2S%Ch!4*JTJqq;{>
zQ|wHTmNc@1^o*c*p_uyF>uSvA!(Vf8SM4L?1TQ500tl;d5X7g=Z6R==1#}kxgAA&{
z-e^SHrqy@E&@GSmjswWc0gE;q*h5VP^4NY(Cb$mEy=cvzO+~kC9;1_j_B^6F5-@P7
z{Pmi;x=iQ4W_FWQXb>nH2l#5&A6?mm>k>rGwc_;<ZU@;Fl|dL%W*hWJ2u{r~fBJTn
z8C~CO002n=E#yXu$$JAy6{dZ#uSbNYkbk;`_=gO-8B6~T(!BKkK0T&=5+1esRFXx`
z-HdKo!O-o-I+RaW44dw%S14UuGRf3T!lW6~OCf*@wox(r_@12xC-^_;(7AGkRh(Ke
zR0x9jFf_i>v<kB=e1I0pQ2QZB;Tl}aNjfX&I52^H;C&b)Iw8dXU3hVV*fYL>TU7?(
zgJ-Uz{Q!db*IT5Wx+=&yW?$Fkon6#y`1Ve1{`6$e1(08|0J7R(^lyrY8`MN3y3?uz
z)Haf1d$6ucbcPk<HrNg{x}7>vpg0jMDGIicB|*hzaZB%+{&8=*{&Q&^c{$})JZ(-c
zm6St*F1}hI(fapt0Xi4?#lg%@(O-gDt`!^*;lBh}{4X`~#6q9kKWpxy<FJDQ^rQYi
z8td}?Q0X<oR{sePD5reDE?%yDU^6wfh(GWPvt`Pj>`&x(bssZO$$k$pBm`4EeSp!o
z#Rl7JGYktiI=ly%quF}P`5rOCIxS-w3`3B(M?tdGCqD(&_oW4t4R1d5nU|oOpG{7|
ziAN&a2>#Caf{H>pii(`ql7h_ikp8qUpG5n^bNwS8(<8__N1lUsPG*;Er%shmkIFR|
zT;C|5d#Y{+W-bWLpnPqeo!hNOrw7Bt0u9)PQq}|XFrCL1P*GA+iY{S`5`+(>IDRT=
zda=kk8K-7y$>eLySO}S;+$;-JjpHqHD$r>c$h60vA-_O@D9ZvxG#3lzRlJM&F$29S
z{u$keF#gWohRFjk4KE}00250l{+uaJ!>reT{A^<VF91TMAm?iXCvzTN1n7T)?an*}
zoRSXNku1I<gp>lhN<E|&)1J{}{;ZUICxVEzJp)yB!>b8wx)_Gn;5!*-Th4b(^JjP^
zz;{8sG8JV3u}qY}EOlB<o&8Y@iowm)pY`IRRpop`gEO(!%Q_YSl~IfXeNd48vy-R$
z!cRu~e+O;*y?F^vRpItO@bsB3ZU6&`ha`oi6QQy)1bPP8@T^K%iiP=+dS<&(a(oBw
zW(YV~VvtSIgZ3Z;Eo>LSy##1wQ43E{6^kh0dl9%&_sIi=F3fwOoNtUPOC)!Yl19$R
z1y*BrYH&bp!-q*X_-C6BM^>k2PmwAH?|6Noq?(ROWsSx3pQbs<6^};tCv};J9vdf<
z_9RfU!vNQP@NyG{9uvo+6$KK%OE(Xnr`LpnP$z{!<i`m9hT!1BmBnK3z@D&qF=L(~
zuHf507(i=mZ2S)027v?`MVr|<(ikP{HfD&B<UInPV2E#RPft(ZEtFt2kK!D!3JxJH
zdwzB^D98RNPHlyNWrEUrJV?OZ69Ba`>0Lo+wI(=x4NnV-umfmSakx{0J~iRO4K^nd
zx|%V_NyOmQ->c;F0CckuE0seXqVD;GfBs<f2HT21lPn{*HGNPHZfXIlwh5!o4H8PG
zd#}sAM_s2WIomnlyYV=;0@Kd-Zhou@{lYk<F;-Wo<Ndz!_t2#emOs7(u-7IE_3)o+
zd?cwuy)&DOrhcNyDYv^@k{JrL7}d~%A^^d8|2PrTImm8nyj_+Jtk?!Eze$&z>2x}Z
zaFYcIb2`WDDPh}f{OT8?flCg3UB>|($__j#|AOA06VOT-z(ui8*dYoR<e?cs%(7eC
z3LzQPLIcq*BZKX%M5<6h9#f-c^kg*wGNG#hXOC>{^91LMk1qyTH2_D$!c@xl=<Vu9
zH<2WvQqy$c0#e8VkqS2l<;ISxgpR{|EGVfmU?A9ibnb2eP;MjEXdHPf^Yn$0%p&Uc
zU>_Cte(&x^`%|_wrZ~IQqRv-xEF{K`UNf&k4CCj{kQz8CJZ8Zr3DT9r?dtl5uY^6D
zWRt>Ysc2mkiYTKXO@|;*5CwOwgt&h6u$>5z&RU-^eWu~emBszh!frdIzCDo_t3Pw4
zy1F_FWpogAoP{vNi&HIWyS=X;Y&_{`)i@^!Hz`Vm_u4C&tI1&ZDpWf1h8qQe{+gpz
z$sfg?J7SGHR_k8;lN3zAGkG5(lSA)n!X~moRDA)@rnF_Usl^D9tcA8EiZ2rALV1P?
z3V~eXl9QF=)D-YY_St`{cLfz*neh=ps)@0&ro|{qc3Y_;?h`-EF(4A<Q!4Benr8b!
z>y`x@O(FGj=cD1T$@ZP!ro`gnJM*l{znhNp=Vf(gs~&5qN=r@{qtsf0yPfrgp_mHF
zWC!YEk8LHc*3k=@+?UG+V~H&#ASPcCp;3@(Dk%@c`<t4YilCc5$hvrEa&z|<at4-2
zehnl12UMt(aLFL~r{WQGpj@bggdYu--MPpL5_ZLsBPX)+o#aV<{ZMii2puWgO$Ul@
zqg*j)=d?~|!wnker}iNt`8Mp_cot6VL~6wF=s-t`NRqBlY<|8hmF%;O=M$(mh8Vt`
zH<=M{D3zX3z&rbh>zzZiv9OUDbT&g#2vuPvW$C^*>d9%5li6L4C5?nCPqoGrHjGS+
zj6Ly)F+G+tU5sFd&Q@(q0^O|v)||nInN8+(spOn6X6H5;A{ul;I}SPa;?rFolPRQF
z?}Tx0Ic_<>6OE|R*+Y{7vSFmvtVvHrCsBHC*Lb1sZg2rmPGclKo#gSD=;JH0XIj*?
zTWF*PYcpH8FK@{|8ZPKoG47e%4`kI4UE!n_R|UtS;D6e&$u2kA4yL*Qv6FXHo$l3q
zfWNwE9+LR}yv-VoXdMm(<8*_W<uE#;`dQ=Q+-{HQC7sL}o(lasDMHnV7hq~OgA;Or
z1Z?}83M{X0w0}oJJyeUs-?G3p`_7>#<YZ=|G~MCSGTtn3k2GOY87RJ`^v&f~a(Lm+
zj`nZNEB)S!r@2jQ=`g0Jd!(}=6z58AN!PXStpsLa^nbYLz8|4?TuMqgY8Q`i+lFA$
zm&$Fl@KVUAY8=ii!lCme#V>N2(83&mspv-NZz{){(7p=R)E;4u)Mi9F7@P6F2q3Vt
z+>e*ssqjgn*BQ2Y4jZgYnt&HQ1A@+1bacIi54ksV@D?NHRHf1CT$g0UB*eQ!%vy3_
z6Ou$HsM2sKLRqM=c=O>z6mP!1fe~!q7)RGHwq-f>2cRuD7pFE0ZO`Q7ZoPXTqUrT2
zHd()Az4q`6WtgiP&;mu*EYOhxR4OqJ@sT{Y4EkVhYjrI+o2C1`LX!?0OTYUmT0*vs
z>Kv?P#CVte%n-vP9L7+7H6c}2z9Jeb%}6m(&l@PwpAsQlbn8Zw*d&o8pmy7XE*>H$
z$o@`_cAULw$&{GZs8BnUa?8*gPYk#b6evf_9P+&Z_$k+&UeFcM?PA6}<=V}jrTL7Q
zO3VW*Bk><yA*FI-p^mmV2;O{x`GXUnNQPqaNv=~P0w^1}@^-kuQs`-h2)p-rt&C4~
zLk`sc^q$);;*>d?3V1;2Mu(3Nz#{wt2A(p5)T`!gv^_~`hv__RIsMX3Mk$~K67owF
zs=E4aIS2|^*gbj!7Z+MY<BSUc_WzUI0OI!hcp6y}Pa1KwtRa7M9<gFM3{_)pGRUz;
zh$!f)b!d8Gq)k;l@l}ahzka>os$MZMv3BBv095#c>wf_9)<f$$+z>YE<ObNF;DHIK
z=U460tVkA1IV_cK=P_^5n)}efD<Q{?Y%bW|v9U1{-GI66#9==DD3mJ$P9dqT5^Z~d
zIWn9PS>IUI@$`H-MpBX)eZ-)3caE3@Cd)QgX2)#yY6b~J7tM(hXxJD4lSB;77w-Wp
z^n;VOnRKUFg9u<m&J>7YYOS}JaALA+5%fVwFqi<K;9-#gd0=2Mu$ob*vcl$_S#sc$
zr#X01yQhj{1k1f!dM01?;Xx1Jd>Mf)Z!smJ*|LN(ID2OEk{_@+brUwva2h)xe^riH
zXCF#OTr|ISsa@i3XN-%Aw?FgE<|5$&akQWVKEPP{cKs=qe(ixCa^i@p2VoBlK&yC<
zj%Ah+$!M`OA2H5qlmzi4%|a`Q5mv1+raPs}-n4uwW6-9J5Y<qoT#HDEP(#SeNI7z|
z)jyTN7A;KX-Or{f<fH;}KqP2MxNUgaPbyi1l1-Ojxs>$J;3;w*HzMCUY4n`CuSNgg
zDk0r^SEC^#f4WATs#Fq?5`;5m_Mk{rgK^bY$Xkw%at1LJ#B$j;J9W5@<h0N)44I><
zo`nPJop_+<p{SV#bZp~E7V3muWep>h!R|au{PFT1cj)sHU6)_Q9V}Y6|8e2R6XERm
zfPVoDb`;$TOIk+jLD-~g`{4+Adn#Nm3(OOG+w;fdERi^auZY{d_lh|HgP-12fy7Yk
z(5an-JQ##bzk>)m1e$63cUOl@(gRDyn28c^%-3}#84C=p>t1YeY_FXWZ||SzXQ(s!
z{xM4eWT$k4)m_PLyOY2!zc^69E%D_(i~<}jgOAX@13l)Pwgr|!rPG@P##<g3tjShD
z*d;p{&do}ER#vQ`W8sUuY&W;e;K_uNuP{_0Z&v1Ryhx&7LSQ6JF5Jj&e_d-T!w`eX
z%80E8?IW5le*SB5;IT#P#dcBq!3?pxbIv~>OG#ybA`sEU{FWHw-6}WH%1w?By5=i7
zR|b$P@=jc{`iV(Pa}PLRj%2;1dtb~N{YO0iLyUKqU5#>gQ%goYm`$8W520aqwX;Ap
zBjrOx=Ek>G8{J;aYk=O~BR&a`6=;FAgRCxeLtAr5fkIH)B@eVKF@FnZNpzf^d!Y<k
z@YV^bV!(7B>^!0`TNip0D!QA?r3X$B(Y$ut(Ful+LiEIIxe0mMzMCqB2}v2Im$K|G
zd8hM(H558l9czuKmG!icrv&nrRi9mnBadC$Ykv?C5`UmM1LHCWI0QNfS?mNh=D_iT
z;6*Ah+H-jDG=|OcPG6)oOP?j7ENF8GWl5Ci`c<A++u~m_6nm>@`!r<NHiG~la_RG%
zbiLpP+h_$d-YtPKN!Z|xiC*@d@1`=|!u|&FU7d6?-=-gV#7gQ`bPhr<_h|iXDYJLQ
zf0u-<LFdMKn37T?P7jco8RGwRix3=A^>$$fkevy1Zx(~x?oA{RN>hU2U?r|^us#ku
zlUMs9JI6A$R=d<J;TSO+`)4*Q3-~HD;HlVDQn#}ZSRj#*u5yk2gon#VB^)l-e(z8+
zgH>DlW;eD4mXq*Lpjzne4S|{@`|Ewc9$3&oRZ0D<5M&4HP6v9>FM$#8*Ef`ZB|s}>
z+KPPKuiObf4yF~fr>%Jp{kv^c5*Lc;D^)jjSAW2fApIQ@6T3Q<q<@`=OSUweh`K?q
zM}E2BXGySpPQ!Qm6IRbgjT$N2x<0>jDNwj<8jSpnfH$v&UX^K8V6r_)tOpJZ%V@zX
zllA0yWhe-yl5jw<Qw|oI&}8i=E0d(GQit6UP&(;0BgsyF%jP6J{W=js1cyKt+d&dE
zk`aK(cpe7#k))kz8Mca@ecKJ<-m!}a;}t?7W9`ek05eFT$CJ?L$X}?j6d|MX+OZ5J
z4*3JYLP-}`-mT<Qb6O@X168g;puc%y-y{+@8A7QUP~Sid3VC=W`=K%r<fhW??9zf6
zwaoZ^<B)3jIPrOP!8>rQQj3+|5q>M!-0f!i<Jydsw0v`*J>88hAyHC|Q&%eO2VH~N
zv%Wr$d2y<@elPOBXgfmjB^(Umu0dBd;koXPfHe!iS^xA@%d{dx-SS1PH));WWIn_`
zz%u9|GZkiG;&B-m#6EC-IrLUb8occY$&<dIZ`n+C<hVxK5H5>>Y+4GqxGKqM@KP6F
zqoHofK@|-F4E|ME{eejmNi>ZZLx6CUIMFV{KteYrT&B-yX!rke4C4w+<&RB#cPJ={
z_SXv_%Y|)7x5y%96f>wTr#z5_2Iv90{DfX~S-?58foXjh_x8SJpoAx!^PwZ*OqewE
zKv5BlrhEnf-Q-JIB$-DCg4M{p@w;iKE1h-h&U<vA(gD6(Moj>!3|(O1NL(F%)IM%!
z$Mm@0n4DlcD5KOR$?W*BSE*YTAcHOpw69R?{p<lpCetoME*P!_gP047FD??40@B5`
zJW-BVJ;ZGc{JGe-!lr_3V4iwrC-ty*d8c}>Ck&NxHd)tb!9eF6!e2)_s~qH;rX`u}
zXsocQQKzwD0xgTt2{VAKg^V?pz-JEJ1E#q#|MMB8b74snj%F=u6D>BR`}v{Q#u(w5
z{ufxg_r$6Ly^BHO15UaD&U{nn9f{hQoJJGYq)GV{1{CZk{+kp`2<Aa3tO)j=p_XDq
zyaJLhe*hF2G}kBJJ2R#?rPFDh-&_J}?V`%BD6q@gy663QVXR6?tbvaMyu$p!4|u!-
zxx)`0LOADJsv>D0UoEi9b=o&YrU)(4HfW;+I>u9khQ$HQy1jtTHBRnKk^rdKmGXe2
zTpPY;kZhASE{^`O=Vg)qcX=N_rit1y$v{yoo<guU9AJ@TCS%f4YqT4BHiiQkpo`vF
zk`lXH)S)KBxB$^-G=dL8*o;>E>lT|jIWbPZ^mZk&_&Z~RRN1OrU6_QafKMa92f9eu
z))b2ItQo>r_n=(R&h4$_K~8v}AAR(Saa9XqrJP1r<ZEciD?vb;ojq~O(v03k9oLBK
zNZZGIgQ;pmv+x==GaVtKOxY{AK96>UTFDMeqo{@rc%(b&>Gq)k!9Ymh=1;JMFW?xD
z)_F|UDfmBA-f-#7QgUGcwA$JWHDoW05hwiJ&V8bdw|t4zxBG;R2Jqy2F=o7c<)5j?
z70G^WSk+SQKKx8<w*&THQpPSy;=&_84#mtD&3H>Fv>-HX0GPH`%v=*VtUc=YMd-lx
zArRJSxKV+sfRJ*$W=YccJh>l#GQLE4D-#NRtl1n&m<uV5Rp=o)A&gTpBb1yo@Ty9M
z+wh+D1nmGn9dDfd#An<YUDi6hhDXdhw$v_ieKPpQ9aB`DMzK|V_z2t~s9T!77qfBr
zio*W9Lej`I#X2&D`aHPfPS76c2h`2UKm3z<DW1tJE<LUeIJFZ9#{gOmRLFCuOZLF3
zR!*Eg($+WQV2>@FNA%ODd$IX-G8#=2$ofqH^-*SQK*9<vr1A6^vL09TuYw}Y64Ym3
z`U{<V3Cns_4-kGV4u2>g=~K`S9w9IS!?oK?zXXv(Wq0}vN>?pBL15uWA~Z`boxt*>
zZ{w$B*U7+xI>yH#X#;v#-joW^Is2NY{~<{v?O@e6+3OHK*k@_N%JrD)@ZhH+R-ZCT
z>e6M>UxtG4-Ojc`QxfCL9r5OOq^we-p%d*fJw<?ZYlvtiKaD9fH^XO)0`hxA7@j06
zA;2aPP)WFRN1U`%AS-WxFcBgDqoO29aE<^1p`<S+{U`)Gg4HZ1(EkN2GXZwUN|E)+
z0v41rC_thQU6^4BGy|jpyNM;202Y@GaEA*>A%gX$vt5;SDj(R{4SpXaDHK^YwCzb_
zPc*>%aw2lcT}8!`1G;I|cQJ6)8V=zhl77zJ5EQw{UTR<hoh&4%lmKw@?B(3`g!qB5
zSl$|NuC4KglJD+rDdsRQs7<Nfh13p-8A;QGSc9QACyar)YyK!}Mn-OTkRX|WLJ0g5
zVf#t8;f_Ye^N7BagqZZ6$g=OJqxDHHsbOknwhvmE?S<&5N^ew>gUnccr+wY9UgwE|
zrU&c1hlfsgeRk_b0ptQSOsEVP^nw~EK|9yo{v~9IY^qNkGs4pC9u`LFL=i^fu4L!q
z^yD6-&r0C2V1tPuTu3i#S&9y_ayS8RK4PUa&7o;2q<U@ULy%P@s1npsq`87{r2UA;
zimAm!C`m`R9e9Dd1l7rFcg7C#JJ5S8bMKOTD1B5PT>Ex5Vi8S?F<|t~(vxIbfeIkZ
z(dnM)^?S}79EAp~R@+pXgAQ8TOV?#$M#l4g?Aj7UMbc#YIjT(BK~{hmS?EkkdKv=~
zVdACrg45jqgjjH__Kqz99|6m-&@GpiorDDZIod7?{;^9e#Y4|ArCXR3_+}0veDDJh
zP%LU`1}-9t^lg}=2TP9Y<`#s+j5HT}@Q%JamTi|4>^22SRaIHUj<wGxNUp4x>v+it
zo<?x{PV|?yHX-r61bjZxPKR0y%8#Z+1B^&NR3I8Vt<fmMB2nq3ar&sV?OR#j5}CI2
zArK3a)2H}Yh_mwEc4x5isvF#Mwu<_d$RvacW66Zw*orJZ7O_Bf%?caz(d@4~73(n;
zt1<46;5I$W1HEG`(&K<v5i6OXq%#`C76e^dyRIexJpF>8C|w;L9ZO^5uhk$kf0cz%
z4UhI50grq4c8`S@TY4aBV=OVML;2`C!>VdtLhTeO`}D)~YbPejFv*12+Uz8BS|my%
zdq{V`-;A8Mw*DWB#aschw~-s$8@Hg_aFq0Y1ZJiqiMIbC&-%H*-HRQ|547D*w@iqM
zIe({Bo+iCou+E0G-aP*{e#Jkz+44eYf&3B)!=w^kMCB~Rm(POIcwQtX)H$G_0YL<o
zMYD#Y!B^y{Z^eW?U`I1F<!Q3q^rtE^tn``&&&=ID(PhKTrnSAvB_l6!vT4eyvg|1D
zTFIVl*?e4`U*VngnYG=7<8RTaA7Bo;GL{PQqeZ$2eJw{I)>y9&y_EHFb~7jyZnJY&
z98#Ro12rCSM$jTpdo)d`(gSJ84*<0#FLv}^NjusMD1t?P0-UD=o>Fic7=(k(lb|S9
zl<(7@%XK%^BEl$vFB1|*oe#YmntEu3ae^)}3x~=&^)pxM-gE!>c>BN=^7_N(75J@R
zx2~9cmK^d-7U|e2?Q#aMMJLguh%ud#=W@@ae{7mECA86E=Z!xe4u}}ptn*#$!?soC
zi<s*#Vf5|n$)NY|-#>k`=0uF4(D;Sbv8N)<C0FH2y(|c_T)26?9>360pPM2_3_Gh!
z7v9<uvFU0^3vX0Mo$2`CRNBzE`!+sq=?)41kgBR)wo}N!L3B<iO#rU>j58O3c;sQ}
zc>}S)w`fRx3x@I=0Ch&PNG=kNS&SpmV2wg2_NiT$#wAwqN&}HchD;O-SPJ}<vk(lj
zFR?yaDm$dE_kFJ8jQL3#g3vYFQR3YD=`Re6es~<pJtjbx`j5-zcY0m#I=6q_TeR1|
zMbWC;ed(tZYZ<pvZXW3!<=3xXy@@d#S|fMwE;)7j^i~9s7N`9pDYpaK#__<!?23zv
zm%#+y?`bM4Q~pq0&4-WK4yiWY1=o0FUF+M&5a}EOMY=ev4N%n<^gV~vv27!wqu*Lh
ze)1BV!>nI+=mwfli}phqQuW(uhZe>BfXt@2$Uk0+mP59%L>i_=DwbU{<=TW^SZQ7!
z9?N|+2V2`4jg8uSF~i5deYHzUN}g{+{-R#(k@QLh_bvG1+BMg4Ctv--UarlDAwNjj
zg!IVV+Z|QenVt`!Co>T!JS!I?#&vV-OD*ZZ&4sGmFzv&>>iKEE55_CRt(wyU%h7Ca
zKDF~>jzdb5EfKyjLC@_4@jHU>5<$s(tZT(eZoR}VyEHy*@irCexU(sH4d4B7uQTC%
z=$L@8%FJ9SuBQbiM@GtH)JTafrn;m`^d#gvK9}t%4|RCxUr;>ME}FT-6P1pJ(#U7e
zPTzHl?n`O^5dtNi#B#`rH03u-J|BjqYEU|deE=1!6&>9A`S)@yPCvP`d-LCq(WSSD
zA}LVkJHimuee`?T>S}8xCl{r~40j|9<+d6t_jGnHGchp{n&;@{<u#{b^6O$3*R`MW
zJf`#Ccj3c_1cb?w_4AS?JHXYetr50%(Of5DmRd65*9>P~c(P*R?~xWeMihAVpe
z-N~UC6U1#b?+yv@95Y(*VPn+IyLUAf9eN%g6?J&(ocTRfrlh3gm-xrfmp-tYOm7hp
zK33kS7QtB<hgrE01ySGC1>Yu;G-UR@B>zcrIiwm^4D`{mLh{>3zBhS0<)W}~%SkiE
zI&HP*DI3?!%*+zAW4G6|_CDBoS2NQEH1b;}u(C!u&?4o<vOevx2)t}zuI0GylijeM
z_4Q{?O#c~r=^djGm&jIk5S7y>ujWB_vsxm}%`LBFhF;0WId_LQ^%{B7=5HRif!McR
z$C1PMnp!$H;tw%QSin?`u)MsD&@!A&QPa?f!2cgScz_8YLyB3D#k|#VT2+-oK~MKk
zb|O5Dg!F23<KOeOZ>lxkk5UhqGN=jPVl_R#Gz-H6-@SkT26IZ5E?sKyEN~2`VTNtb
zZOexAkLvgY-yB8<i?vxqWEp<ne=Ma=KBcZC72=m)(y<wB6LvX_rmECz;6>f&lr)*h
zQrw0r^J$*(1YzW=yWfueNYGW$9}uJ^ziWdd7HHoK^|dvN=3eip+0arugvqtnk4E<W
z7(>ba<X#IyLq5nU&7~Z`tU>cgndaMWR?HRV=Sp<SniXp&B&>22yPc+RlKT&A+43sM
zY;tncR3--X1p3=-^h2#V8hL8(VhV~X^RRU(o<I-|DD^D-@Zkf+6Pg8asyw)drCB{U
z57Io}tv4_*_yL>t)RwK9sGZIQNaPJPr)SvCo1dngq+gsq@vQB}w)xc{U)gENI1gTQ
z6x#J|x*+oAy?eCxSch4jXD_zHs}_P%&~Dvyf`7TKWN-;PY1Srw?*;tcMJ%()jXu3b
zq45&3WZsyg?5<slK#P6_#@Zchv!Vj55b%ds$0QuLK~ZFH*QDLy4_6FS81Fx>tnByF
z_j;T}J~09JKpE+*P4~3O!4v<s-%UY*3!7pV#n{YD-q0|r$@br@)2gYE%%+v^2PR%m
zV0kt^QHBP=``62M*zYgU)Xaa+v*(Ow$+^F8;ETsY_od?I@>GGC#Kc7?bz!jNtWU0@
zA>tqDS}{kpnrq3-8_PKhq+7cvH-zz=uUNR&E4HQNUmT9U#kuO$hkhh(5G~BK%d1&q
zRr^wCTXXeWCNZA<euDZZ<M(nNm@GPmcrw$|v+R-z<n-Mn3N+0dQs+>RbGoX;-==D}
zgU>XJZ~?wN@bg<mISAE3bwO`(fgfK}gs<kJ=deV_5H@QO<@kvcWUJ27O1ghmEbu8N
zr%{>`K0w<4GLV{i5F$82qpf~_e&6AdeK}9f>V)o<uxk?hrKb?=8igcJJWnm|_4t57
z#)|U5()0WG@27Z{x@<Y=w$%LGC#YWg6e6fnJ0bY@K?{qd*8`>*-3Ztih3JX0q%W*b
zJ}&Jsm0LB4@U6eTiTR1n;vDSJK<$Byoa*oMy82xwA1<=eDku*st)cXy8+~U;&)2W_
z-9|Cq#gQhl8XS!x-=ebb)|+6}B3>AH`tvMAezbrRmX+1e?qFRC0>-70?{vxw90pI!
zp5f!;+aw^sg^enfa4V=uHlCEP{0cE?D}?qi3WB3MLga8zq%&NX&YYbreA!|V*c~(;
zD~!z8YauT`>w8N<Pj7C3#j|`-7l`3mrmRTIcZWX4EfXe_$!c2*RS{ji(k`K&XN)KM
z*q7%e`U4r6c4|4ii6sMHyk>Z$hUi00Z$%Z_6PLjJojzgnt$r`1sr>Emm%aQUPu!Dx
z5!<Nm{Q0yBDZ(<Vpt36(*s^cmzFBJC6^4_y4@WCS3F+tGh7OvO?%kJXUZA{5p}_1s
zPD~s;Al#{;t9u*9uU@9Eq2VT~jzuj=;$B>8`m>p9Zrr~81_h!S6kv)-9Jhaq*@vP;
zO0<k=hEhsh8$jb36&nXf!RKnqZZ_UuT$&^xAOHYt#&r|_U0PeLa;DM4FP-pY;ZMJ`
zu<OpVAPZ~u68$n}eqv<fB!+umL8wB>&^MlQ<?-VkXp`rnJb`R3=rN6!lFu5x**=pG
zbGbV+oA*yvim*1%dAAF%AtbBz-`?--qmiW+A*W8A`YT!W_|tqP8FBH|zP`TwTGtNE
z-!Cd^fMjY7bhLEVx7U*?S585Ge%COc8>OMPmsjTX_aN&xwzT{Q2;x(yn50}To?ZwB
z@7>Bu)vPhnGJ##QM#_E{LMWK!Rnxuva({JtomoGNNQ6m~QuY%l9;Ibu6g$IIfwQwf
zXij{!ITJzqmrHtjJW!K5NuzCVi99qvEiLWSJ-MkD1jc*U`2xDY3Ouo~v60Z-X`ZwB
z?-w{1_r1NZyn1zra?sK705bBnQ}h~B;?gOQrS~pGWw;QMZLW+I;SLM^x>McmPh9t&
z)YJR!6g~N7%nbv|FEbd+BrHqM?*p&N3xaFVw%*Z>5aB7bkSPZd@JtI#+(-I2>#O^;
z9Dv?<Uq#~BzT+(12&-a$=?q8nNK|z6OXK~AB0p?`$%F_#5=$OQDX9mcp*`wako&Us
zUPIA*c78GHdt6suQtlj`b?4|6v_j8>B+447VqzNHMMRz{#jZgR1dfc1oCU7vAvHB0
z*Gc$fR(Gy;(ke{NaR1VHaOlXBJAXlB{1cc)b1L!#MDXxn>+cW2&>S{0+6F(j2T5<3
z2@_<h3(Hps?%et3*|S?<>0NtZf|sL^CbEajX1nxI!X{?I4RzcbckcMs@$>Q3f7Hl#
z8aRLW*fEfB(;MN%7Jk*+7UJVGJ4}kQcJ=Ccxb9%(dBMupvF`s@X;&Z9)D^{_bVXwr
zl&nr>_*h{mVxVOffetX^qs<cIAQN!lpg5Pot97LcYlspAjYS1DAQ-i^<7FhHrAnNG
z6$mXIw39{JWfdA>d=HnA!PwkXaPD`DWXb;B{ijLWckg}Yy?f6&_nh<ll{fq=((}_u
z*Rb=qSM`G$=8{(Ht6P4}1VCV=@jiVg;LSrDKvp8#**lV_$tx(}v#gC-7UN@hkB4@P
zmI2y8t1z)>`HF-H_N0a4qkI;$uTjq}9X6>z*V5t*P4|b%fc*teXJo!&ulC!aAsZ0w
z0<{ZHW<6dsCkRct=2))H7NNIr%gbd8Ki1*|U$m$G$`$p}lJZ)fJ1FzE9B5@J#l_qE
ztkxt`1wdn!Otj?7+$d!BoV<QL@WNe1Q-^$GOZ!KF^INfxLqG1>T7P`y^tR&(pDdf|
z=s#0wy45EGd(`;C?ANJ`Q)e)I_mh8uA91xZ^Yf!`yd_^a#~nO+3!Fr{;a|pDt3MCX
zJWHI1v8$|3&k5$e?YTp!2;3odRK?2Ul7_~{(4?dwG2<`N_`<Z@-%}oIEa<HRv(gho
zH%y^P5DGxeSyA{Z09t*~o!o$0G4@$0&^z|GA7sNJTSU-q*)VFW6*CrqK9-={nc3OT
z5D9lc{t3!AvW*97a9}d@^FTaVid$IaJ;AVfcET<>g8<Phus2}g*zI;RY#CH;SF6<<
zntp%pw%qM@7twSdz7?E!dh8pUEmiLdO->GmYdFxFrB_V$vD3ujWMx~nKE1Gzhdk1Z
zjEqXat-e15utdWLU9ZL+88w42u)CGHD)*|A9bRV!MVA7YL^E@9VKFhz>4`^HB44JC
zew3<Gb&eh=MP+CH@PlC=Zx*O9enV;y4-Cxr_&_4DfZ+qvV^v#TzrjmXElx<5A|fNb
z96|9pgCN?WC?qZ^WG(?Qn!b29Y;>&UDpAT2Y8Y6OBVXNjI4Y4y&h8Zd3itQC&%kq>
zSnc|h3ntG^D4S(d!nimF3}_WMFSrkjkwN7c8BqfTNs7a^3cg2UB-%E0lZVLt9?<zU
z2%WHQjm<=HkCl~8AuLnhiww2FU2{>_Yy{Em@<cQhn5g2wbbUD1)iE_K^UNk*VD{`G
zyqh{5g_R8)&QAEAI(=ByzI{?0Ime%PD#Tmn$9w4%r${dEM@9R^hK5tfFs3MgiUMBt
z<D<`jnnzKn`^ag#$7ZvsN<d!#WQ^!(j#(n)KmyJWCn3Ck#CtC`HJ!ol>rEo65-xDq
zjva%=qPFaF2#Yl%B_Q&LyX^pVD1;{v5KD9MM(LbIUb!LYEL2&yE}wjc?k)*8KhWp!
z=f`_PfD;+%I!kUQc$?26v9tZ3)IemVrLkn`fmxO@8hydm`Ou}`42*?K8ci*%i=gtJ
zWJgvwI&0?iV-c*iO!d@O8IkI0<DGpmBpLR<|2&9&cdbRF#jHxwa~-!iV1o3$+BRms
un3!jf(-GdPnzhT+DO{H4A^y+d{`M;i*Q&=m|B4|=@9(7VO*5uQtNsCAP{Aw!

diff --git a/reference/as.mic.html b/reference/as.mic.html
index 339b2f05..3cf5f7b5 100644
--- a/reference/as.mic.html
+++ b/reference/as.mic.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -213,33 +213,33 @@
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>To interpret MIC values as SIR values, use <code><a href="as.sir.html">as.sir()</a></code> on MIC values. It supports guidelines from EUCAST (2011-2023) and CLSI (2011-2023).</p>
 <p>This class for MIC values is a quite a special data type: formally it is an ordered <a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a> with valid MIC values as <a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a> levels (to make sure only valid MIC values are retained), but for any mathematical operation it acts as decimal numbers:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>x <span class="ot">&lt;-</span> <span class="fu">random_mic</span>(<span class="dv">10</span>)</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>x</span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Class 'mic'</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [1] 16     1      8      8      64     &gt;=128  0.0625 32     32     16</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="fu">is.factor</span>(x)</span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] TRUE</span></span>
-<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a>x[<span class="dv">1</span>] <span class="sc">*</span> <span class="dv">2</span></span>
-<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] 32</span></span>
-<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a><span class="fu">median</span>(x)</span>
-<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] 26</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>x <span class="ot">&lt;-</span> <span class="fu">random_mic</span>(<span class="dv">10</span>)</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>x</span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="co">#&gt; Class 'mic'</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co">#&gt;  [1] 16     1      8      8      64     &gt;=128  0.0625 32     32     16</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a></span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="fu">is.factor</span>(x)</span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a><span class="co">#&gt; [1] TRUE</span></span>
+<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a></span>
+<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a>x[<span class="dv">1</span>] <span class="sc">*</span> <span class="dv">2</span></span>
+<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a><span class="co">#&gt; [1] 32</span></span>
+<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a></span>
+<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a><span class="fu">median</span>(x)</span>
+<span id="cb1-13"><a href="#cb1-13" tabindex="-1"></a><span class="co">#&gt; [1] 26</span></span></code></pre><p></p></div>
 <p>This makes it possible to maintain operators that often come with MIC values, such "&gt;=" and "&lt;=", even when filtering using <a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a> values in data analysis, e.g.:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>x[x <span class="sc">&gt;</span> <span class="dv">4</span>]</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Class 'mic'</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] 16    8     8     64    &gt;=128 32    32    16</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>df <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(x, <span class="at">hospital =</span> <span class="st">"A"</span>)</span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="fu">subset</span>(df, x <span class="sc">&gt;</span> <span class="dv">4</span>) <span class="co"># or with dplyr: df %&gt;% filter(x &gt; 4)</span></span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;        x hospital</span></span>
-<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     16        A</span></span>
-<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5     64        A</span></span>
-<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6  &gt;=128        A</span></span>
-<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 8     32        A</span></span>
-<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 9     32        A</span></span>
-<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 10    16        A</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>x[x <span class="sc">&gt;</span> <span class="dv">4</span>]</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="co">#&gt; Class 'mic'</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="co">#&gt; [1] 16    8     8     64    &gt;=128 32    32    16</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>df <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(x, <span class="at">hospital =</span> <span class="st">"A"</span>)</span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="fu">subset</span>(df, x <span class="sc">&gt;</span> <span class="dv">4</span>) <span class="co"># or with dplyr: df %&gt;% filter(x &gt; 4)</span></span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a><span class="co">#&gt;        x hospital</span></span>
+<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a><span class="co">#&gt; 1     16        A</span></span>
+<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a><span class="co">#&gt; 5     64        A</span></span>
+<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a><span class="co">#&gt; 6  &gt;=128        A</span></span>
+<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a><span class="co">#&gt; 8     32        A</span></span>
+<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a><span class="co">#&gt; 9     32        A</span></span>
+<span id="cb1-13"><a href="#cb1-13" tabindex="-1"></a><span class="co">#&gt; 10    16        A</span></span></code></pre><p></p></div>
 <p>All so-called <a href="https://rdrr.io/r/base/groupGeneric.html" class="external-link">group generic functions</a> are implemented for the MIC class (such as <code>!</code>, <code>!=</code>, <code>&lt;</code>, <code>&gt;=</code>, <code><a href="https://rdrr.io/r/base/Log.html" class="external-link">exp()</a></code>, <code><a href="https://rdrr.io/r/base/Log.html" class="external-link">log2()</a></code>). Some functions of the <code>stats</code> package are also implemented (such as <code><a href="https://rdrr.io/r/stats/quantile.html" class="external-link">quantile()</a></code>, <code><a href="https://rdrr.io/r/stats/median.html" class="external-link">median()</a></code>, <code><a href="https://rdrr.io/r/stats/fivenum.html" class="external-link">fivenum()</a></code>). Since <code><a href="https://rdrr.io/r/stats/sd.html" class="external-link">sd()</a></code> and <code><a href="https://rdrr.io/r/stats/cor.html" class="external-link">var()</a></code> are non-generic functions, these could not be extended. Use <code><a href="https://rdrr.io/r/stats/mad.html" class="external-link">mad()</a></code> as an alternative, or use e.g. <code>sd(as.numeric(x))</code> where <code>x</code> is your vector of MIC values.</p>
 <p>Using <code><a href="https://rdrr.io/r/base/double.html" class="external-link">as.double()</a></code> or <code><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric()</a></code> on MIC values will remove the operators and return a numeric vector. Do <strong>not</strong> use <code><a href="https://rdrr.io/r/base/integer.html" class="external-link">as.integer()</a></code> on MIC values as by the <span style="R">R</span> convention on <a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a>s, it will return the index of the factor levels (which is often useless for regular users).</p>
 <p>Use <code><a href="https://rdatatable.gitlab.io/data.table/reference/fdroplevels.html" class="external-link">droplevels()</a></code> to drop unused levels. At default, it will return a plain factor. Use <code>droplevels(..., as.mic = TRUE)</code> to maintain the <code>mic</code> class.</p>
diff --git a/reference/as.mo.html b/reference/as.mo.html
index b1d05b90..3e5dcc9d 100644
--- a/reference/as.mo.html
+++ b/reference/as.mo.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -253,18 +253,18 @@
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>A microorganism (MO) code from this package (class: <code>mo</code>) is human readable and typically looks like these examples:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>  Code               Full name</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>  <span class="sc">---------------</span>    <span class="sc">--------------------------------------</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a>  B_KLBSL            Klebsiella</span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a>  B_KLBSL_PNMN       Klebsiella pneumoniae</span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>  B_KLBSL_PNMN_RHNS  Klebsiella pneumoniae rhinoscleromatis</span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a>  <span class="sc">|</span>   <span class="er">|</span>    <span class="er">|</span>    <span class="er">|</span></span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a>  <span class="er">|</span>   <span class="er">|</span>    <span class="er">|</span>    <span class="er">|</span></span>
-<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a>  <span class="er">|</span>   <span class="er">|</span>    <span class="er">|</span>    \<span class="sc">--</span><span class="ot">-&gt;</span> subspecies, a <span class="dv">3-5</span> letter acronym</span>
-<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a>  <span class="sc">|</span>   <span class="er">|</span>    \<span class="sc">---</span><span class="ot">-&gt;</span> species, a <span class="dv">3-6</span> letter acronym</span>
-<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a>  <span class="sc">|</span>   \<span class="sc">---</span><span class="ot">-&gt;</span> genus, a <span class="dv">4-8</span> letter acronym</span>
-<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a>  \<span class="sc">---</span><span class="ot">-&gt;</span> taxonomic kingdom<span class="sc">:</span> <span class="fu">A</span> (Archaea), <span class="fu">AN</span> (Animalia), <span class="fu">B</span> (Bacteria),</span>
-<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a>                            <span class="fu">F</span> (Fungi), <span class="fu">PL</span> (Plantae), <span class="fu">P</span> (Protozoa)</span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>  Code               Full name</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>  <span class="sc">---------------</span>    <span class="sc">--------------------------------------</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a>  B_KLBSL            Klebsiella</span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a>  B_KLBSL_PNMN       Klebsiella pneumoniae</span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>  B_KLBSL_PNMN_RHNS  Klebsiella pneumoniae rhinoscleromatis</span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a>  <span class="sc">|</span>   <span class="er">|</span>    <span class="er">|</span>    <span class="er">|</span></span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a>  <span class="er">|</span>   <span class="er">|</span>    <span class="er">|</span>    <span class="er">|</span></span>
+<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a>  <span class="er">|</span>   <span class="er">|</span>    <span class="er">|</span>    \<span class="sc">--</span><span class="ot">-&gt;</span> subspecies, a <span class="dv">3-5</span> letter acronym</span>
+<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a>  <span class="sc">|</span>   <span class="er">|</span>    \<span class="sc">---</span><span class="ot">-&gt;</span> species, a <span class="dv">3-6</span> letter acronym</span>
+<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a>  <span class="sc">|</span>   \<span class="sc">---</span><span class="ot">-&gt;</span> genus, a <span class="dv">4-8</span> letter acronym</span>
+<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a>  \<span class="sc">---</span><span class="ot">-&gt;</span> taxonomic kingdom<span class="sc">:</span> <span class="fu">A</span> (Archaea), <span class="fu">AN</span> (Animalia), <span class="fu">B</span> (Bacteria),</span>
+<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a>                            <span class="fu">F</span> (Fungi), <span class="fu">PL</span> (Plantae), <span class="fu">P</span> (Protozoa)</span></code></pre><p></p></div>
 <p>Values that cannot be coerced will be considered 'unknown' and will be returned as the MO code <code>UNKNOWN</code> with a warning.</p>
 <p>Use the <code><a href="mo_property.html">mo_*</a></code> functions to get properties based on the returned code, see <em>Examples</em>.</p>
 <p>The <code>as.mo()</code> function uses a novel <a href="mo_matching_score.html">matching score algorithm</a> (see <em>Matching Score for Microorganisms</em> below) to match input against the <a href="microorganisms.html">available microbial taxonomy</a> in this package. This will lead to the effect that e.g. <code>"E. coli"</code> (a microorganism highly prevalent in humans) will return the microbial ID of <em>Escherichia coli</em> and not <em>Entamoeba coli</em> (a microorganism less prevalent in humans), although the latter would alphabetically come first.</p>
diff --git a/reference/as.sir.html b/reference/as.sir.html
index dde3940d..9e1e404b 100644
--- a/reference/as.sir.html
+++ b/reference/as.sir.html
@@ -24,7 +24,7 @@ All breakpoints used for interpretation are publicly available in the clinical_b
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -332,19 +332,19 @@ All breakpoints used for interpretation are publicly available in the clinical_b
 
 <p>The <code>as.sir()</code> function can work in four ways:</p><ol><li><p>For <strong>cleaning raw / untransformed data</strong>. The data will be cleaned to only contain values S, I and R and will try its best to determine this with some intelligence. For example, mixed values with SIR interpretations and MIC values such as <code>"&lt;0.25; S"</code> will be coerced to <code>"S"</code>. Combined interpretations for multiple test methods (as seen in laboratory records) such as <code>"S; S"</code> will be coerced to <code>"S"</code>, but a value like <code>"S; I"</code> will return <code>NA</code> with a warning that the input is unclear.</p></li>
 <li><p>For <strong>interpreting minimum inhibitory concentration (MIC) values</strong> according to EUCAST or CLSI. You must clean your MIC values first using <code><a href="as.mic.html">as.mic()</a></code>, that also gives your columns the new data class <code><a href="as.mic.html">mic</a></code>. Also, be sure to have a column with microorganism names or codes. It will be found automatically, but can be set manually using the <code>mo</code> argument.</p><ul><li><p>Using <code>dplyr</code>, SIR interpretation can be done very easily with either:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate_if</span>(is.mic, as.sir)</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate</span>(<span class="fu">across</span>(<span class="fu">where</span>(is.mic), as.sir))</span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co"># for veterinary breakpoints, also set `host`:</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate_if</span>(is.mic, as.sir, <span class="at">host =</span> <span class="st">"column_with_animal_hosts"</span>, <span class="at">guideline =</span> <span class="st">"CLSI"</span>)</span></code></pre><p></p></div></li>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate_if</span>(is.mic, as.sir)</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate</span>(<span class="fu">across</span>(<span class="fu">where</span>(is.mic), as.sir))</span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co"># for veterinary breakpoints, also set `host`:</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate_if</span>(is.mic, as.sir, <span class="at">host =</span> <span class="st">"column_with_animal_hosts"</span>, <span class="at">guideline =</span> <span class="st">"CLSI"</span>)</span></code></pre><p></p></div></li>
 <li><p>Operators like "&lt;=" will be stripped before interpretation. When using <code>conserve_capped_values = TRUE</code>, an MIC value of e.g. "&gt;2" will always return "R", even if the breakpoint according to the chosen guideline is "&gt;=4". This is to prevent that capped values from raw laboratory data would not be treated conservatively. The default behaviour (<code>conserve_capped_values = FALSE</code>) considers "&gt;2" to be lower than "&gt;=4" and might in this case return "S" or "I".</p></li>
 </ul></li>
 <li><p>For <strong>interpreting disk diffusion diameters</strong> according to EUCAST or CLSI. You must clean your disk zones first using <code><a href="as.disk.html">as.disk()</a></code>, that also gives your columns the new data class <code><a href="as.disk.html">disk</a></code>. Also, be sure to have a column with microorganism names or codes. It will be found automatically, but can be set manually using the <code>mo</code> argument.</p><ul><li><p>Using <code>dplyr</code>, SIR interpretation can be done very easily with either:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate_if</span>(is.disk, as.sir)</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate</span>(<span class="fu">across</span>(<span class="fu">where</span>(is.disk), as.sir))</span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co"># for veterinary breakpoints, also set `host`:</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate_if</span>(is.disk, as.sir, <span class="at">host =</span> <span class="st">"column_with_animal_hosts"</span>, <span class="at">guideline =</span> <span class="st">"CLSI"</span>)</span></code></pre><p></p></div></li>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate_if</span>(is.disk, as.sir)</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate</span>(<span class="fu">across</span>(<span class="fu">where</span>(is.disk), as.sir))</span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co"># for veterinary breakpoints, also set `host`:</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>your_data <span class="sc">%&gt;%</span> <span class="fu">mutate_if</span>(is.disk, as.sir, <span class="at">host =</span> <span class="st">"column_with_animal_hosts"</span>, <span class="at">guideline =</span> <span class="st">"CLSI"</span>)</span></code></pre><p></p></div></li>
 </ul></li>
 <li><p>For <strong>interpreting a complete data set</strong>, with automatic determination of MIC values, disk diffusion diameters, microorganism names or codes, and antimicrobial test results. This is done very simply by running <code>as.sir(your_data)</code>.</p></li>
 </ol><p><strong>For points 2, 3 and 4: Use <code>sir_interpretation_history()</code></strong> to retrieve a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> (or <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a> if the <code>tibble</code> package is installed) with all results of the last <code>as.sir()</code> call.</p>
@@ -357,14 +357,14 @@ All breakpoints used for interpretation are publicly available in the clinical_b
 <p>For interpreting MIC values as well as disk diffusion diameters, currently implemented guidelines are for <strong>clinical microbiology</strong>: EUCAST 2011-2023 and CLSI 2011-2023, and for <strong>veterinary microbiology</strong>: EUCAST 2021-2023 and CLSI 2019-2023.</p>
 <p>Thus, the <code>guideline</code> argument must be set to e.g., <code>"EUCAST 2023"</code> or <code>"CLSI 2023"</code>. By simply using <code>"EUCAST"</code> (the default) or <code>"CLSI"</code> as input, the latest included version of that guideline will automatically be selected. You can set your own data set using the <code>reference_data</code> argument. The <code>guideline</code> argument will then be ignored.</p>
 <p>You can set the default guideline with the <a href="AMR-options.html">package option</a> <code><a href="AMR-options.html">AMR_guideline</a></code> (e.g. in your <code>.Rprofile</code> file), such as:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="st">"CLSI"</span>)</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="st">"CLSI 2018"</span>)</span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="st">"EUCAST 2020"</span>)</span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a>  <span class="co"># or to reset:</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="cn">NULL</span>)</span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="st">"CLSI"</span>)</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="st">"CLSI 2018"</span>)</span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="st">"EUCAST 2020"</span>)</span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a>  <span class="co"># or to reset:</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="cn">NULL</span>)</span></code></pre><p></p></div>
 <p>For veterinary guidelines, these might be the best options:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="st">"CLSI"</span>)</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_breakpoint_type =</span> <span class="st">"animal"</span>)</span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_guideline =</span> <span class="st">"CLSI"</span>)</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>  <span class="fu">options</span>(<span class="at">AMR_breakpoint_type =</span> <span class="st">"animal"</span>)</span></code></pre><p></p></div>
 </div>
 
 <div class="section">
@@ -592,19 +592,19 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 13 × 14</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    datetime            index ab_user    mo_user    ab   mo                input</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;ab&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-02-25 <span style="color: #949494;">16:00:49</span>     1 TOB        Escherich… TOB  B_[ORD]_ENTRBCTR 16    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-02-25 <span style="color: #949494;">16:00:49</span>     1 GEN        Escherich… GEN  B_[ORD]_ENTRBCTR 18    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-02-25 <span style="color: #949494;">16:00:48</span>     1 CIP        Escherich… CIP  B_[ORD]_ENTRBCTR  0.256</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-02-25 <span style="color: #949494;">16:00:48</span>     1 AMP        Escherich… AMP  B_[ORD]_ENTRBCTR  8    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-02-25 <span style="color: #949494;">16:00:44</span>     1 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      0.01 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-02-25 <span style="color: #949494;">16:00:44</span>     2 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      2    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-02-25 <span style="color: #949494;">16:00:44</span>     3 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      4    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-02-25 <span style="color: #949494;">16:00:44</span>     4 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      8    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-02-25 <span style="color: #949494;">16:00:44</span>     1 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      2    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-02-25 <span style="color: #949494;">16:00:44</span>     1 TOB        Escherich… TOB  B_[ORD]_ENTRBCTR 16    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> 2024-02-25 <span style="color: #949494;">16:00:44</span>     1 GEN        Escherich… GEN  B_[ORD]_ENTRBCTR 18    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> 2024-02-25 <span style="color: #949494;">16:00:44</span>     1 AMP        Escherich… AMP  B_[ORD]_ENTRBCTR 20    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> 2024-02-25 <span style="color: #949494;">16:00:43</span>     1 ampicillin Strep pneu AMP  B_STRPT_PNMN     18    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2024-03-03 <span style="color: #949494;">22:03:54</span>     1 TOB        Escherich… TOB  B_[ORD]_ENTRBCTR 16    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2024-03-03 <span style="color: #949494;">22:03:54</span>     1 GEN        Escherich… GEN  B_[ORD]_ENTRBCTR 18    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2024-03-03 <span style="color: #949494;">22:03:54</span>     1 CIP        Escherich… CIP  B_[ORD]_ENTRBCTR  0.256</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2024-03-03 <span style="color: #949494;">22:03:54</span>     1 AMP        Escherich… AMP  B_[ORD]_ENTRBCTR  8    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2024-03-03 <span style="color: #949494;">22:03:49</span>     1 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      0.01 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2024-03-03 <span style="color: #949494;">22:03:49</span>     2 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      2    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2024-03-03 <span style="color: #949494;">22:03:49</span>     3 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      4    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2024-03-03 <span style="color: #949494;">22:03:49</span>     4 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      8    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2024-03-03 <span style="color: #949494;">22:03:49</span>     1 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      2    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2024-03-03 <span style="color: #949494;">22:03:49</span>     1 TOB        Escherich… TOB  B_[ORD]_ENTRBCTR 16    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> 2024-03-03 <span style="color: #949494;">22:03:49</span>     1 GEN        Escherich… GEN  B_[ORD]_ENTRBCTR 18    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> 2024-03-03 <span style="color: #949494;">22:03:49</span>     1 AMP        Escherich… AMP  B_[ORD]_ENTRBCTR 20    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> 2024-03-03 <span style="color: #949494;">22:03:48</span>     1 ampicillin Strep pneu AMP  B_STRPT_PNMN     18    </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 7 more variables: outcome &lt;sir&gt;, method &lt;chr&gt;, breakpoint_S_R &lt;chr&gt;,</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   guideline &lt;chr&gt;, host &lt;chr&gt;, ref_table &lt;chr&gt;, uti &lt;lgl&gt;</span></span>
 <span class="r-in"><span></span></span>
diff --git a/reference/atc_online.html b/reference/atc_online.html
index 9b782aba..b2440755 100644
--- a/reference/atc_online.html
+++ b/reference/atc_online.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/av_from_text.html b/reference/av_from_text.html
index a3e4b0f9..dfb2890e 100644
--- a/reference/av_from_text.html
+++ b/reference/av_from_text.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/av_property.html b/reference/av_property.html
index 48c88273..324e3f9a 100644
--- a/reference/av_property.html
+++ b/reference/av_property.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/availability.html b/reference/availability.html
index 563f698c..eed41a5f 100644
--- a/reference/availability.html
+++ b/reference/availability.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/bug_drug_combinations.html b/reference/bug_drug_combinations.html
index 14521f64..4ccd7509 100644
--- a/reference/bug_drug_combinations.html
+++ b/reference/bug_drug_combinations.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/clinical_breakpoints.html b/reference/clinical_breakpoints.html
index 6fa6b159..a97f5c12 100644
--- a/reference/clinical_breakpoints.html
+++ b/reference/clinical_breakpoints.html
@@ -16,7 +16,7 @@ Use as.sir() to transform MICs or disks measurements to SIR values."><meta prope
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/count.html b/reference/count.html
index f10cb3a9..a285d1dc 100644
--- a/reference/count.html
+++ b/reference/count.html
@@ -12,7 +12,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -253,28 +253,28 @@ A microorganism is categorised as "Resistant" when there is a high likelihood of
     
 
 <p>When using more than one variable for <code>...</code> (= combination therapy), use <code>only_all_tested</code> to only count isolates that are tested for all antibiotics/variables that you test them for. See this example for two antibiotics, Drug A and Drug B, about how <code><a href="proportion.html">susceptibility()</a></code> works to calculate the %SI:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>                    only_all_tested <span class="ot">=</span> <span class="cn">FALSE</span>  only_all_tested <span class="ot">=</span> <span class="cn">TRUE</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a>                    <span class="sc">-----------------------</span>  <span class="sc">-----------------------</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a> Drug A    Drug B   include as  include as   include as  include as</span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>                    numerator   denominator  numerator   denominator</span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="sc">--------</span>  <span class="sc">--------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span></span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a> S or I    S or I       X            X            X            X</span>
-<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a>   R       S or I       X            X            X            X</span>
-<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>     S or I       X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a> S or I      R          X            X            X            X</span>
-<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a>   R         R          <span class="sc">-</span>            X            <span class="sc">-</span>            X</span>
-<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>       R          <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a> S or I     <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a>   R        <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a>  <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>      <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-16"><a href="#cb1-16" aria-hidden="true" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>                    only_all_tested <span class="ot">=</span> <span class="cn">FALSE</span>  only_all_tested <span class="ot">=</span> <span class="cn">TRUE</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a>                    <span class="sc">-----------------------</span>  <span class="sc">-----------------------</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a> Drug A    Drug B   include as  include as   include as  include as</span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>                    numerator   denominator  numerator   denominator</span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="sc">--------</span>  <span class="sc">--------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span></span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a> S or I    S or I       X            X            X            X</span>
+<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a>   R       S or I       X            X            X            X</span>
+<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>     S or I       X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a> S or I      R          X            X            X            X</span>
+<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a>   R         R          <span class="sc">-</span>            X            <span class="sc">-</span>            X</span>
+<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>       R          <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-13"><a href="#cb1-13" tabindex="-1"></a> S or I     <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-14"><a href="#cb1-14" tabindex="-1"></a>   R        <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-15"><a href="#cb1-15" tabindex="-1"></a>  <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>      <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-16"><a href="#cb1-16" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span></code></pre><p></p></div>
 <p>Please note that, in combination therapies, for <code>only_all_tested = TRUE</code> applies that:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>    <span class="fu">count_S</span>()    <span class="sc">+</span>   <span class="fu">count_I</span>()    <span class="sc">+</span>   <span class="fu">count_R</span>()    <span class="ot">=</span> <span class="fu">count_all</span>()</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">proportion_S</span>() <span class="sc">+</span> <span class="fu">proportion_I</span>() <span class="sc">+</span> <span class="fu">proportion_R</span>() <span class="ot">=</span> <span class="dv">1</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>    <span class="fu">count_S</span>()    <span class="sc">+</span>   <span class="fu">count_I</span>()    <span class="sc">+</span>   <span class="fu">count_R</span>()    <span class="ot">=</span> <span class="fu">count_all</span>()</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>  <span class="fu">proportion_S</span>() <span class="sc">+</span> <span class="fu">proportion_I</span>() <span class="sc">+</span> <span class="fu">proportion_R</span>() <span class="ot">=</span> <span class="dv">1</span></span></code></pre><p></p></div>
 <p>and that, in combination therapies, for <code>only_all_tested = FALSE</code> applies that:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>    <span class="fu">count_S</span>()    <span class="sc">+</span>   <span class="fu">count_I</span>()    <span class="sc">+</span>   <span class="fu">count_R</span>()    <span class="sc">&gt;=</span> <span class="fu">count_all</span>()</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">proportion_S</span>() <span class="sc">+</span> <span class="fu">proportion_I</span>() <span class="sc">+</span> <span class="fu">proportion_R</span>() <span class="sc">&gt;=</span> <span class="dv">1</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>    <span class="fu">count_S</span>()    <span class="sc">+</span>   <span class="fu">count_I</span>()    <span class="sc">+</span>   <span class="fu">count_R</span>()    <span class="sc">&gt;=</span> <span class="fu">count_all</span>()</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>  <span class="fu">proportion_S</span>() <span class="sc">+</span> <span class="fu">proportion_I</span>() <span class="sc">+</span> <span class="fu">proportion_R</span>() <span class="sc">&gt;=</span> <span class="dv">1</span></span></code></pre><p></p></div>
 <p>Using <code>only_all_tested</code> has no impact when only using one antibiotic as input.</p>
     </div>
     <div class="section level2">
diff --git a/reference/custom_eucast_rules.html b/reference/custom_eucast_rules.html
index 835414b6..0002d80e 100644
--- a/reference/custom_eucast_rules.html
+++ b/reference/custom_eucast_rules.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/dosage.html b/reference/dosage.html
index 47c59e9a..39c440e0 100644
--- a/reference/dosage.html
+++ b/reference/dosage.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/eucast_rules.html b/reference/eucast_rules.html
index 7b594371..6a01337c 100644
--- a/reference/eucast_rules.html
+++ b/reference/eucast_rules.html
@@ -12,7 +12,7 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/example_isolates.html b/reference/example_isolates.html
index 985b5ea0..4528c9b3 100644
--- a/reference/example_isolates.html
+++ b/reference/example_isolates.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/example_isolates_unclean.html b/reference/example_isolates_unclean.html
index dbead55b..ef144032 100644
--- a/reference/example_isolates_unclean.html
+++ b/reference/example_isolates_unclean.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/first_isolate.html b/reference/first_isolate.html
index cfcbf2c8..d1c19f12 100644
--- a/reference/first_isolate.html
+++ b/reference/first_isolate.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/g.test.html b/reference/g.test.html
index 114ffddc..b1cb1863 100644
--- a/reference/g.test.html
+++ b/reference/g.test.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -271,7 +271,7 @@
 <p>The <em>G</em>-test uses the log of the ratio of two likelihoods as the test statistic, which is why it is also called a likelihood ratio test or log-likelihood ratio test. The formula to calculate a <em>G</em>-statistic is:</p>
 <p>\(G = 2 * sum(x * log(x / E))\)</p>
 <p>where <code>E</code> are the expected values. Since this is chi-square distributed, the p value can be calculated in <span style="R">R</span> with:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>p <span class="ot">&lt;-</span> stats<span class="sc">::</span><span class="fu">pchisq</span>(G, df, <span class="at">lower.tail =</span> <span class="cn">FALSE</span>)</span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>p <span class="ot">&lt;-</span> stats<span class="sc">::</span><span class="fu">pchisq</span>(G, df, <span class="at">lower.tail =</span> <span class="cn">FALSE</span>)</span></code></pre><p></p></div>
 <p>where <code>df</code> are the degrees of freedom.</p>
 <p>If there are more than two categories and you want to find out which ones are significantly different from their null expectation, you can use the same method of testing each category vs. the sum of all categories, with the Bonferroni correction. You use <em>G</em>-tests for each category, of course.</p>
 </div>
diff --git a/reference/get_episode.html b/reference/get_episode.html
index b4f9b9e7..cd4952e9 100644
--- a/reference/get_episode.html
+++ b/reference/get_episode.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/ggplot_pca-2.png b/reference/ggplot_pca-2.png
index f5d0f6d45bdaa15c3176dd14b839156da84ba1c4..00e1c52cc2bd8f1d4ee8804f27eaf73a1a031602 100644
GIT binary patch
literal 89435
zcmeFYcTiJp*FKt1MVg2RNEHyJH|f=fE=@psmEJpqP5_mn^e#;WM5Ol)L8?@x*MuUS
zKqv_vew#<%cfK=oX3k&d%zQJ)Aq2DczVCajb*<}K_u4yAFVq!@Z$G#V0)dE?mE^QQ
zAY5M%2;1To9`MOr>L(QNhG(IoC<nX)|4wC_Lx48|Hzfm45Qr|~<^_&h-M0pT7(vQ%
z&tCdw?JW3ZnRo|X?@t|Pi6;@?y=C;hjRoh{KmXh#{M@Zudf(n8n9=3ZzV;PN@Ktp?
zrck?7Cn=tho#kt7sS3q6XZcd;Uk@m2q948@NW`7_QSmr|Q^0fN^x~>P;I|FGKn6=v
z#{6$|pv11_uH^dpWzL9b1S-AduoZ!w$fErJ`cIAP9LNg<A%Z*%NVjpAD!@LOWQ-9t
zo|+Bd1SUr+q%3jE0PkZTnoMQ)#g(yUo8bt&7At5F3AQ@^FpdqV(95|PL<(vLw-H=`
zrX?cLLf)6OC5{5gQ~nLH%>u{ze@qxv-vVLjOX2iBH|f2-sE57d`OG92*(wBbrOP+W
z-0r!=0Mq`@YaHxm+$b596Km3_hy!s?q&rO_0e9pFMS#m$l(i6I&`c;q(<o=@g*i^V
z_PL}3Ez196Y1v3`XpyYZ8uY1l=2Fw+N!C9OECM6B%n%4t-wKzD5P0{#Pw!pgPHWf3
z-oI;uz6V_iqk_yOQJkn;n0RP{iSuyY{VZ?LI#Gx3koS4}L@gJ19qZlKH<>ih0+{00
zAuqZ}I)dxFsDBp6V00$E0k=<h7K32Vf{tj$ytCMi$}{GE4Q$h3moy89ycEV%H}jGl
z(W7>^&~O<f?cT<EI^6Ql%IqmsKi#)OqZ!L>p_b68N#}sgJMX6i+?+n&r#e3VSy@lI
z7>NJiijL^QLcEvI{C;hG1w0*mv>hDe2@*VBh0<FhqZiy;>mjAB|1pMJB-YuM5rgq3
zIgwjfZ^MFj(3VSGoV(UBTzI#`8?!y>l};c}YN;!+iBVFByz3WlLddszW+ql|`ShaU
z3DBv3BYzWos2mq)o8(gt`0D-aY+2MSKOql}i{%{bTfK}=MX%#-!2;_d7i_wWFEex#
zc70?A(U)FtZAI}^qDzL^dC92|wdGh@a?U;WmwaXm1NsIFS951Y_O`7BE*GSG%lgeL
z{(DNWZOPO>F!zBqIuU%y!6DhnGa<Q<t|MvkC$z#3XvtYZur5Xh_guJ`%*hAUgd-zD
zY^%Ld!i{l01nFi|KE$;Z<+ho-m*JP7vV`$6Pe}F(#JvS@3gqb`nqK8kh_R2X>u|K!
zoePl<o#?vI_xngNzLK5o5NF%LeJ8qEoin@oR@5HDc8}klPpko$zT8o|w)bj*;_A_&
z^j1&s9OL^&@v`Gsyq5n44mw-(Mhmw#!pM1q>xkj+c$av*Yr@;Jxuc4i$TuOGTRl|b
zP|ILwTjzIRsGx5y^C7S1@S(`}|8sT3AJ?a5S(HbA(#UcdW1kTJ6opD5Xuj|J`@fzI
zpQ&4K--0t#W3NDH)SNf5p^Bks?2W^*rsG0n7awH&aVSSK{93#gKen5Z!SZX_u^VkQ
z*={A^(Hh0=?P9M)7W<9ykz`|0m=r1TlCR`KGr6VueCU2N((L%E9((6dZs9!7XE_~v
zqLqFJzgg;<#*M6&dMw=e-=RD;+HO##CCj^*!cxSS(kTL$nVTH3T9~jVe7lk!^aIL+
zwYPB=$c(bVyUy{N(<?j9@rru{r0LsNFb?HWRPi<Y#cwc1)c;oR_GW%IRkbsI&z^1w
zeNgG%?ARyoJqCD`rHjTJ!;j}@Wg})^?jP-zxlz8|^(XD+JMQ`yhl2N}fVu5YoUI1L
z8hI?tuR-Tq4{6H_^NLCjn<dM?1%zCayhk`=*W!DDX@5+bt?vzpdhhM+6fO*3kUYgY
z0ULc^-~nA{F3{|L|7o(fB(j#{bF;!5F3CP9A8+%ghjG-8`2?EGflS44Rs@gj4l&60
zexO>kUEa2>HUm<uX_j-(@>+U|?r>pF)J7e-WWInj`>B$-8w7E+Ey+>9uAe|(6E#Ep
zpno#)82#T2s*$!);YCvgjaUsrug$j^%l^%rZR#sYeA>y8bi_Bu^8%^a4oqiz+GI?1
z)GX&n+eMJc+~dt4JX?r}KGHJ8wMQ#pL;rZ%bNbS;eK&TyH4nVk_OFj`EHFs~7f;_c
zl~i|LL-v(jQY^k)EOes#j;8pF$6XK#?R3f>qV7yLkqacK+@Aymw_9w3P+U#~B?61S
zi!_q4r?XN$#jeNn<}amd!L&FM`cvzcbN15uH;nKL3NiaHQ+^al;4<^u+p8sLXxcp#
zZ6y}!TbYOmk;c0U0Im4oJ6+D0p5XJ6=}W^_aBJ~%(Sn_r+MuJ&4ga7##q&6{onEP9
zbL*7MWD;^<w*fAG7qzSMABA}Eln0bkuxIWl$xGmCxll(f%WE2Ra*Qk+X&t&M4H=?^
zoszIzgwJY$(T<B4bW`+IdulGY9y4~GDLH#g<O}&Ns1M#VH`${j@I5a0PY8&=X~N9F
z(m1n4L26g+(04NjI;S&$;js_G_Wj?6ydWGkm36+H5FEFu=f;;Jp_PJp(%GHh*HUNl
z;FVzq&w00?VO%C?27Z{O4eS&a1H*Qb9Pra1_HEvVr~DfYb6QWv-cn)O|JvapZKYx^
z=zptco9ki>-u(y0jJceg%33QKpbPh@^8jc}z_jnb7<^~}B#M@${bx+=p$p-0#r_{M
zWU<eE8f`f3PtTh$tGD*4j(byNu@)BYbow9&|B`2fH+|(4ec77(pE+l7^QJ2!e6yur
zuTWnhFI)c2T5OLfJmtg(BMOTtu%UpBzw>EP?_vRLb10-~^n58UR2n=Cip5sIiUUjI
zUxm-^^s9C9=KNj5ABp<^?6<vs!A-H@Q#etq$6#2hiy(TDx*Df0x|-Y^(afssfWx6%
z;_E8++aPtpb2;iUoPQpzq{Xb?=&?#OP$j`%aI}-mrhR4Iu${nyq+#zgfwCag$=v0h
zZ$5xZjM!q~wIn{}J=A*6++THZ*BtOV_8~lZv=P<{1u6=AC99hY{@7~2PKA2@M>n*>
z`2qU*Ll=0~z(s#PChmvo{rM~LLGn#O^6!5HpJ1E*J;C7xFx{Vz$3GJJ{vjNeqG#0q
zI|jb-9)_OGO2U6MG?RnR#|l0(ZmRn&TT|jV69GRS957S&ZrD!xV<1KdujRqL{og;x
zi#5Dx&Ax1P82kv9&wn0WMU`?mFZx)`Ux=QA-hBCzv_OssQu@a&qww!gy=L}WX`kif
z&vv=@66jJ6swA0=G%|9SQz-iT8{Qv8GL4W7=8Eh?BU2!Sa(wghf3-XS8`~6_XqV~X
zq<K%fpGlm5pdX*9ikKjhh@U^~V6%^kOrBPeJu|vaSx3J$uwnaeeSyJ~vQiUAR`!xG
zn5en`(_h7$$zDQIMcgXHX|LgD?VaQ9rtYUIA>n;-Cyo727?CMNzO`elx(alrTJ-me
ze7_lv!d+LYO73?(xJxefL6}}t?$KYM1PB6)su^Zt$bH@;-=9ORbpFI3t*U=xjgx`l
z+3W)PFD?SaZ%+Gc7|SZJPMwXto$&eVeL7?|-(6P0J^0pNpta_L%Y6(B{`oDwpZg-G
z&>ZdZMCp&$W_zhn4u!a@JxrgU_dsn{blDS>`~)5$RSg#^oBtaRAH0?=?MfRD#a}|F
zGi{hO1B`0w=<G{1d}6DX*kO@7-)Q<BPQ9LYE$aNo&P*cTiCosOFKs@t)A~VA%dO%H
zIeRE4oV?nZQ;OIMoGcU^9LrKkN&O4{Mo+2_swd7xcMP);6Vp>PkQjf-7RPbdGQe3;
zNNm7DOKwJ2E;vMNH?&sPr1+0jHNxMBAYcclO%y`%o<`PB<9pT#DVtxD-SxrS%D<Ft
zb$@WI23zy;t4RFwyxmdCX|;c;%;2xpMu6361+sfabdId094a|QsjD4DiI{<RPF@LG
z&vGOUoY*IYVqDHlRu@y^LLK-1#w5HOTL0|j9BaFfw9^D6Kq`xqUdrR80d*~RN9jzL
z4$s~UPuR;kH5dGxp~q!nPMMda8gyp5v)80-CUU$&9m{gY*{o$($|2~kPQ_UEOodkQ
zu=+<LrK%Fy>lcjHLuMN#KJZ`0KR$@PbMQV~i(T)bNB7MpKY1sZBn}-8T>i$F?WpeS
zr|x3_8(@^g-tTtuT%Y%v$IfK#ixy0Rt3DSXZ@JSTt>k$?z|lUB=$!GNlv}nBW3V#t
zQ4@3O&X$~;nj&{pmk@|7#xe!lGqbg27i>k0y*ieLPgO<-j^}<!=4R<uxkZ8%j2|dm
z{6(WMPgiQzvAu4rCwa9eBViPmK>d+szLE;_iGOO$g~JE8^|x1L&40r2as=>A{^FWl
zW}s)+x2XcT8B2(E#^;fUPhhq9x)}y%?O2Yy6>cTVCd)DCVYpW?fF<l8`J#PPlwxv<
zzJi;Ze=xHmXm7B8Ih(m^r*pF+g<-puq^hj4e1<=8hcvK;>et1Vz7%@(*W`XV+y2|8
zU~TgKk<}068gElVTJr=`tWSq6hJKT-lk1^NigZUTlX$qJ-gxK5JW4lESmm)8%Fi3?
zn$U3ZZ0Y~%$|Az>IavLG4aR2us4TKq!&g~sr_Ic1Vm+$pJf(Y0C;#cEGKDZ-(Wtbv
z%2V1!9)EG^KM7YPEM-;tEWe8sYnW$Fy~T^S=N%(Q-o-;+yb~=2+7D{_Dc1Jm!7NfT
zs7<MJon=K>2SHo5&RD|CYaN5SM$eb|USuz@7-D+WB?{wY*Ks_Vx^t~F#TBi|b*&8&
zG(wNepS$~rwyj{Gls5SS)dY%9fg?Iqi=?4p_ZXt_<D}f;9s897StALnpE|TVegDQe
zApV%Oftt!d;cU*d9GjCPFHmjrmy}dy1^b>DJoK3{=$^F|B8IViPdk-v?{zw8vxjpp
z>m;y!jY`j^<@R!!R9VKK0FHCmqJ$#7rpeaj=kgpGuO5bN`)71FTjr!6SuCDJ9=!`(
z?uR%VoGlI$!)m)fkoU?4=EntVLj%TM>$oaKeXd&x9fApeb7W14^0G{@AaV0?jUXA_
z<{;M%aveww(9;F-Mi^HZTf4eSLX6HG(fRXIqE1JeYcflObotv>9~rP0q#pdh)J+3i
zf@rZGz;@n8jYH%LR_yt&uufz~q)xkZ7~q&edVRtRqhCUsu2Dw>v#i-T#c5O7Csxps
zM4JLxdb_z%SM*t#=j>U_U-Cn`;kkw@*}GGm+^vv~%Mx+d>*Y`}HJ}l>`c&`jTwQW_
zc6BEIywoUcoa=x<@k;y!iwK9V+Jj$nRHv^m>k0S|9XPlBn_KShx^OK%uJu^i=qO{8
zcA7s9a8Xg@3c>RYTZHBaxaXE{?voF5(`O!?0wC1s{_q0{yy$LTa%Unk&%}I+F$uv$
zFLVbW@`D?$%EW)*WG_SHOCvXh-BAW&?0(oRVV<7^I^evlo4SmEw+}T{8=>>`;d8r&
zcj%5myk$*89=Bx@MiYmf>x3w>Yp+H$<`&K>k~2YC8O}6yyM}75Q`*&Sn3ef)Pk^fZ
zG!1O(6Gxjvm1P8K1%om-t~@D>$^)`Aj8C1Fgs~X7<|bX)r&O;-K06=aFYmJz%2y2W
z{l{s1i_Wx0-@kLdy>64=S|M`+nVgS)h5s{fm6jUWMvttUbC_K!;9jmIx4AQjL*HK|
zB2J@88xO!ANWTJrs_sSAV+@~t?t5GosI9A}cz09lWB8(_wE<kSPA&N9EbC=Q>?G5_
zKFANsbOeA0Tm!fD)#Z4Gd)HpI{G375!>Sx2T99(*-Xm=&!nyi-pPXdZyX77SqbBSJ
zOh~|nxo<$|3syzlVFrA}CZ5<`&H8ycs4uL(uv7QiW6ndQ2;mWDc>2T*+f5cHs!sWF
znw2z9xKSRmrqcd<HjPiM!k-8rY2Jpge)SouB(1^5?WloIrg5<|o6Q;3m#Ef*th!QK
zxkz6mwl_}&CtTiQEI1NwMRU;S9u>;aqqd*=d7sB-4-QkGeW=m|{jMAuCE1@|%G+H1
z<P@YFr9`fWz+O#*zOTCcZBnlBM|sX~W5e;tNa=&j*DaH-^6fHPz6J+8$LWXxtzK=;
z`mUY0gWRtxnTs7+P2!cVXSbmd<tLBw@v(=w=2%0xccn2PsJ@`R-2QZwK-7tE`6X-F
z1#ZO$bHhfP13iG@WI;^BrT+?){28mv9X;aFB3Hznse33#DF3MU{`9`0Vmwpda^;W5
zX*20Yp_PC!lUXM}wk#jFNzJN@JpGKZ<*`uEmJr$`QsS!ZD2^jli1{m-!c;(zs{FbH
z44xw%pXBA7^GB0vW_F8LJB>`;cVtx*t+Ll<TDVm-HIvV#Y2$}Zf!Qo3dRUEB11X@n
zn<kWGLB@8~G!m>Cgd0`M0@q5+c`~UQTZQ~Jd~crUDcL@$8o3@1eb?CD)QhQP4Ur3c
zSS!w0f3mcGof`K*-4FSUh6r;B-oh!dD0{Z<`u;w8o;g;^+6PmRWHv6af^4AB4W)!@
z=KTRMh8VAfn5kpvnZIIP<DvZAj`#(H)LN64baQ}Z5{rg>KFiwON9fh6cTlX~#-6Tq
zLM&6meP65%r4G`8CuT`>b!XZ^81aiMd;tYI<@^C?fecte{<+x?CY#?8<yV;|(kpZV
z$$|wn4Igxbv%$Y^OS}}<oyXlz;EWM_6p1*3yN=U@`)Y@UgpcFhW1+{rVq+c#N`hd7
z`NWgIpqJev-A&AI?fRxu{3XrWFJP)SL;H*B=|#nT7G+|K?r4h4P%^Upf+TgZO`eEm
z`kUQ~UfG4aTo&QHxOM-%-13LY5AF{CKkX%6S~n0*XBxY8;GV7xWj@9($AROi;-~Xj
z_Vi6oPI~CS`&)9?Oz|z!$sv(QPv}giNyJ|k2nttuO7uC>7f=5V8Be)x@yc6ZA%E}?
zAZ&{w`JCz6cDjPj9g)7iSYns|b7WKsM*V-gRcVxy4cD)<=+1<)0aJ|IMSo6D*TMpF
zYL<dSSCw`xk)=rUH;Apk9@v(hpxh{#m17v0Vv+s<71w*T{u2(~SK~$6xiq_CEcRci
zQ9`l8*dbE$@=7sZ#OHA%Bc-vgoKC(a<iCB|y8TG`K|^?GJIyW==9w@E*f?QCxqktz
z-+#>_?x$`c{@mJnneCSoN3|=KuP`<~?&TmiKZ@QzaHu_-c*UiZ_&}~e%kPdIUYlvD
zt}QV{GI9JCdrH4>Xm#ksgaf*u(`2M=Em>RL&!fRHK7Yv^Hpi$gj;yhbXvQldD>bZj
zu#oc#F_!k;8n0U_QA~UQgp&h{kxA(ET3z`;dJ2c0kJsg{0s1;SG5^!@UE)6rOZ>lV
z>>A}d8O5$I4zEEc_EWv<orjN9QoXW5u1+7x$hB;VBTk2xUp@KDDx;=7P{<v5x#w(x
z=qipq|G$=we!K}Pa3&;}Ab+V$_HTUJIt2gM?H~X5?RfwH75@)Z7a-5Z@1-B}M?RfT
z`MdK(6ZsYd4@nYNo!$w-KfEHiPs=+`@fWxYz%i+yEmd<8-UnJBMN-daf1#@j955XU
zptfSbR{-Tkc$jegHmMJ8;P}g8O*(IzLG~j8dm0~GZfk{|aMGSLpnf(#oRoDGou2>(
zM;;m)Ra3_yg{52{P_uD}hj=5;gEgM>&07NpiSe;b?Kuuj@%O=fSfdkeGZ6EulQR60
z(m8dYQ0IQ#&&7M5@#(8B&;mCTxLkHLz3-erL48mD@jYH-qT@$vFv$AH+2=_7)R13@
zUZ5k^)&bS?hZn+c@4G}oPgsmk!)GyDq4A(e4B|S;_L)QIGS91B$g57ukKQZ0WrjDy
zx}TYu1X<*7Kr$LREuB&e#=dytwy_;N4n_<H6-yspVIHz+0p~>mU7vXK-R97GnS1e9
z^kw=j)(|iJmdl|<wfOeZ?H~b^Kh>c(?53q;AD=HF9;kRO$4;_Po+MjX%gGoSGvU-F
zIZz%j;@O-h1vGsD{wfYKW=TH}Ui3DhDMN_O<Mxrh{)qWl+h#0D+@BQ6UV$fayGN>-
z<~Gp!n6;&_{*`Kb`g(Wd(L}(mv2QmysL(_TqH35%_si^7mQr43e=McCqk&9n6{67M
zw`<zGn>*r~5i$Eg&ChN;{kem~tgBan*w#l|A#NAvQj#s@o5(N$eT+_*!B_B<c+*;I
zqo#Xns-Zi@Zl~e3&hF+&+sTo;#NBg_)q!KjpCl-JNw|0CO;UjV4f5S?)6xOOnBjd1
z29(W9by4)fRDN?is-t%=3(}2eZawwR6R}^AF!J75nk`SFp}w;J$?@Yk-?f@l++-__
zm|WCO>%tPUa?g%V)Mp&r+qJU#nsWrBk@D4P3+SY1?6$l2430?b8+)%{b6o9zLy&fh
z0@FIjfy*(P?>;PcTobm`)U9z($$r3T!5ZawXiDH2f;Xf0ap$(LHiLlgdNvkctC0F>
zdAt;UQSMB$@EQsx{xG#eN9C&;Dd5dfO!rsK{bIGu(Ra<lFWKD>jvzxcjYsbmu0_nM
zPjcan)D1My$;q7>#U9!u9roTMAv*;>)NGymx~iiAEb{4c#!&Z{aIFMZh18glDi3W<
z1>1ghzvTDaRa=_Ohhz~NAyX{@0rc7c5=4&9p;-2NUdUVe*X|BWF5t~Pw^cQ_?#GPq
z+ZT`JY@I_IZ=F;dwr^PCxq6khW(MQ*N|MZoe2jzE*J6<d<BS?T%p~+I3l~koM;`%F
zim_-n<_*v`t>Y<0+*dnwFRV8Xu*uCfG#U_Zck8|!xIb*z;`F^K_kL7_zvKP<OR>)@
zDe=Q`FIAO`4zH9p+c>RB3!d!7bxE@Mau+;hJGdC9G&yU`!#lkh+$SAy@UwOX(hGXK
zh>K36^2Pvb8e@0jm)uxwBu-cgQ<&9OoEA@Y(D2q7O0dDz$=Sp#XQmEW%WOV~z~)&!
zjVLc5Z+1ukJPhJ$T$0^B@Hi^pu74E$3xG<NI67={Em*w1E)`-Ty$!ipY9Oq2J2;0a
z1nc8#&XmpcyR0^BMwv{KDw-LpKWaX|@5~$2Vjqa?(theL?dBvH%~seNw41&F`2sN0
zoGp+)KM^IN98!3v+e=kuM{paAfLk}y6GV;mnoDikqX$}3I}0bG#_rPZcP6JBaR2ix
zfZ_0`bt3p=Ld7XL?A^o52NpVd?M4ots%{+6l}N)4PfyEpMK-o>ess6Z#q2u9(e_cj
zqpa6W<MzLnyjgXY{CcPLx7asNm@I;VnzOv@K1)byVZ!(=SmYb|2C5zpJYm(vl+#M;
zuLDEY2mswj(#%%-bLTRDlF_fT=Q)n3;4LMk5d8oKv!YARrm5{xLSM?5w|t%t)$oJy
zCPG5J#PXpR#m!!~0Xxqt9tj)IH##kqbQ|>7ohiK3Wn)!yG;rfCEycb%SGV}R!8wqV
zuOzKv;NLJMB%fiMp#Is)a4OY3n~m-tx!IJ%cz``9@LIIm@5f*%jKkwL$WUME$5SmM
z5ilJNhq=!ji(JiEa1A8s_BwXq<mAQzO0y3!K7o1cW>6mD_ccTM_8PsR(d>;H1T|is
zk#hb}(LI`%Ds`S8P<L#+`WgD3%z8bYzyH_M0^(;9YCToS>yV@Z;?`Q8fdjY2X^DRA
z!nXB2<1fGf#F_oT(*Ves97!q<=n(1(!!=hfN+f2g6ObEXJ%ACpb2nZZn~(%LTpYR*
zy4T^U*BPw%tfi*djHeo6l=*7#8f!Rw8OTE)^Ii7E!WZ*I3|rPkw*WE?noFdyDb3*X
z{G}~lxBmz|Cm@u|UuxaKhCkoDyM7bA^DQ$g&7v0%`}v#d<?rd3Q&8uBmUyC7Hz7Nr
z^+F*5nJa+FvgaZca^2d{uUcj(KR5-PZ?7a8uD7Mf9$FYmPpZG&a7&A1o;Yp6pgzwL
z&ox07Jr*Auam3XSNMDosqOG=0`U>Bs9PU3TN^U+#4BW4ZIDTTqkK*oY!_&LoU(Ct`
z(gMDE`iMqsB_Zd0GUw@TmNrl8*;n`(*s93SGg&kL^RY5-f~`hUCFj7X>yK)6XrkS7
zxrDT$+q~Zz{dxfMTpvzvG+#E)2Bdcs1Ki%YY}z8DI=5N;z%{oPhd;c1hN57s+fi9?
zM45tVi35qbubrG*7jVfRdcUc*UMMm9I)qWn#ft@hgSCTP!^q0t#@5T6wZoj_6=YBA
zd5^z8lhOpd+1i6N%W6Gq{Bn^dS+Cc>^V$$JC)TvyrnK7Br>~LIgBJEtt|4DNV6x^Q
z-<)C0d6!jcgGWiN?a+HVs9ZJz++Oh!PP2=z+g?^*)H9NzEPp$WQxe7zypZR9oLhAH
z@RHfsloF(eAhNonvLrjOea5oULNxm64tS<_@gR2+X*PyF6CISKY`CjMIM__i-3~zw
z16*3fr{<c00DEzph@79+y6J_iT_R!2n|r4_e41YLdWg2Zo@~F_LEP=VmZfkN$Ll+!
zYTavf!{ZlL@v$0@w*BAMp+9qKKkDw1YieeWoBJT7Bh(vd;V|MOzjd*<nZ_x?!ri*I
zgH2-6?B(u=P?6gi6ea1ZNj*J&B;v678qI9)%mu-m0H_!NZXqEn2CgaAq=-&Eodg3Y
z%{w2P50=8N+)js#>PEz=mIX~1{0HIL0(7IIwZ}8HlHV7Af`Q0$@}I$o9j(R7W-oRi
zoy5)k2QC<}d1g$TlimA~Q)uH@hkA!C$KKJA*5eLOBO?ZrIicOGGo(S!v_03<#Vb>8
z{mS2O4IESFQJ=iWc-k<Z_`CHzVpZhl5dyzs_*JY<skGMJt)El$?=1OxEUc)wIv_#!
zN75VZylmTEDconnXH39OVMNx~InRsQ8hbeNSy-WkZv<t`JjXIb3%M64J^|D(f_Okt
z7Eu5So;+`xysJMy5KCBe>37a$+~~D!GDG7i>V8Hiag0PVT=!e^?m5b|n=vE<EJOT(
zN=9G*{waMe=d-E7nQq&*^=f?Yd)Yi+5mU8U-;+IL(RIors`~DT4o3wF%^aEM+Eq##
zI)@%6Ifd+*8B_-Ds?in}cM{~U<Yw;SzZbEa7v)J8-K$h%{;+3uknv6!OS*Y6jOOs1
zB-qJ;+Gqs#NnW3@^K+h@$tq}zlUdVmJcgVb@MVL`YvzJHXuEPJ;FOY+JI-_jtM3@W
zn}}wtWiS=mdt*AJf&;i8_#iU5YRt9$Djed{zM8W-l^d`(1^|lEEZ}+m^3SuNne_g5
zy2$n~mIq1XA)b4oq|SYIQcVKi@Ym&i0u8!;{icm)iiwV_WgD68caTWz_js9ckmOlK
zkXJk*YcqK9J6px&<Y!Z+OH&1C7l(B)-4D6{ta7MxA=;_y2;dsK;mqBwZ;ti)O>P*z
zW=AJLD{N5@9Y<Z#TFI!u`{E}r;v$0HOMG&aH2dg@f0cNYvu-~5;TeY}073kF1_neB
z;%1A@&&P-{(WOW;r|LY;Og*}zjTyFbIVXqq+7i@uqOXvO6XR%7!a=Uwas*DhswgS>
zW=FElUW~**Ri8S0CPqA{XHXtZ>h|uDaLaX@HK8rnFu?A*DvG~O!+<3YXZvqv5j1ZH
zJ_4v~h`MFeMG!)SdOLf*!52XJ(PJ@HEpzT|1uwuE4?Sn+)?<s_|FFd~j$a(V6^*0v
zV|1!`M5o<<J*|AYLJg1>r?ZuntJjh3IK$u`EQlN`#lv!cq!j~Jcg+Z~No|N;q=5C@
zYBS-gB1K%jA(b*kxcF_qp@S_`8hb2+8f;}L7_^9VoD!%Hh2PFQ3}Am`R-C%|sn4ES
zqgdNO?s@IRW36Z-rq7W~0p1FHQd+0?`-im$N-S~Y1oFRzz-AIB4IH6@V^R%^ARz&+
zDo)L=3<GvE@&wbLFLirVo2{-K`r34*rcO88hFukh$<9LhW(}&>;$~aeuAVAUewm%^
z#|O8obU@y974GSaoc{`TEdemkEE29aTN-^E)j7Mfpe8-z6LM-imC2qp`cvQ)p#J^>
z=+O~mTHFsk{6YNT+tayS-~?YkInMsx-&4nvw*GU|W@P)4iy>fg=r5Q7+kRu9s*f{I
zME|f|<JmG%usjOSAr$pGIeq3O8$<e4n<MFFY1<l;>q!6d3iT#A!EhP+-7gkXDqiUU
zOZ9KRNAj!Y&ltAyFsLfdWvnOC*<qCAe0X00<aO$AT!L)}$}(!}1RSr_bW;zjUIyPi
z=}fi=3?pMp|M2<3SBSNJQ$8)&CDWSDXN~qepl^0<C=h$Jy<ql`DHf!FRVcR{O+=sJ
zvpHdVJPGtbkOsiMaA8Y!dokK^aXO>5ynOCRW=eLB9kn?AsZ1RJDa4Um3{IeWtD!Pc
z=P`G7g_K#7o9^WNOKM8ZHuk#^=LKdh&zUO*7-49$7Q5N>{?Qqk3gvLWSQXiM5>V7H
zj17D`U<_i_GS+u`f-wTF)&22}TzQ`8eSY;>ed`3JeP;~JAitr}F!iym9|qq#^;+{q
z27$c}Q*2@N+5P8Vtn<mxLF8<N4J=9w8c$oB-tT;Va#-&p1bM%A9_^KDmIa>I`LX;c
z|ERxe@cQeA(Oj%FS^tmKJ0h<P2f{pU2QQ9(HT%Z~rQIFSLVa*>U_b<!Sy+k1D^Y^v
z*+(Hf4U0X25j_C$$qqkykpIyA6+^YBZRs1)`hUdm8}1p}%5L{O<WjpyR%=`cfN{k6
zo^Z$8f_F9y4F&F^8A|!j*GuN40(7PlUzT2M36$WwZ2C*?y;qUC47+tj<$H9jmO@#2
zHF!SPe9qY(yAEaWX{}2L6XrJYof)dt&~uyfu2Bn`x_~?t-hbL*24a}r(of?S5$zWt
zJsBG9oNO-(AP6ri6&4bfK12CxVbFb})@<&k`A3IU?~?{fI1ibcBX*|+RB~BPUMZ*C
zJN0DaAW=ceUy8LDZEjzDse@0?k7G98h1KBbk1n+J^{)WiSdq5#<=qWYjP2(40jU;r
zs&1-Dr{N;vOa0)r(cN5qzYXTc-~oKGF95gt18vf`CS%?*;=H(+a~966LmnJJ^8zB@
z&rV&{2U#2O;KwsvQb8RKn{5V-$G3q8f`A(u<;Ck}t^^Q#*6#GZ<N3Oach$Mz97cDU
zk(sa79eyCP{e&~LeOkTgbVuZx*?p_y1Pkh}$d^6((2~I_rL5V7I>S`ykYL!C$R|IT
zM#f@u5C@Zl;;CF&-j1fRZGyP1SrF$pk^C`D#p^j&!|nlJO#IO^V@73H7e}e5#ef;E
zxp4k=OF))M7FR$;s=d2?zymk-8$cQOz^8f=mUWH2Nq&b1iZ*-eXZChD7iK1H<Va4i
z7W1}^q3)q_;?tK}{p#&Nkqj4&uX`*J^t&El<i41w6T1xOlfI)=TtrOd^>EcrZ@t-d
zXme9)@i!Xr?A!4vl}`8r?5V((-In2e5<5al6rIzhhVG3XYl=N(7&BUfXc3k<CYgWB
zW*g~?ENg5MJ=d%#TZd7McJU7cr}gtQ^(R=>*tX);V2ihxd7iAk&v^Htzh?hUf^V=v
zB=oKjgE&wOSE?Btw$_^*=bS|xVf<q+Gko?h<cqA<d_Fh}C#SI}cMd@HW|@us#0N78
z_Jv_qk)$%K*u3lRA8#L$fTZv)94JW=%{6f+V_)+P{p7nlt0*IcrM2*`EVuhsWJ0{4
z>^}3!PuXyHU~^WqPhlXs7|{v$8he9_`T`g*GOR7e!(^KANb0`ku5_z)$A{#y;7;U}
z8AjU3UoK3}HdQe<98;FIPUobjy)Y6SKFB%Re|Pd9+DdCjcBW}*oq@3*`k53d5*vZ+
zal^Lf^!DcKdJIPja4F``&%@Spk0uR#vYrA)Di=wbwH>MKg?OA7Hq{DnX9zQgWx!<R
znx4GF1f<foogOa;WE7h4UvsgYY{kX`<-*$>pj_x}xOisg9QuprjTd)*5$x*D2$pm>
zM{uj>%J3=S;zB$f?)KEPI(p!#=z@~<Ypl<^wp;#St70%V@TgGD*e;+4nu~8|IYy7(
zl}lwLUrU4;X#||lS3-gtF=_=$o4fbowK+54{2?lKnH!Ay>d~&&^6TFp2?yF`&eVvr
zlR@yKl9x+LW!FAX3rKrvJ@Zq@@6(D_Y+A!eDQD1;%vsGVCjat#kvi(El5?q(3wAv|
zwN5U?hPamZlzlu70f4&~)I!!h4oJ3=Tpe?iZ@j5yKvHYa=4aBYs`aaT?xU#)TtLHf
z1_gZ!B%eDH=w0EIorpJF{L`>3(Qx4G)?GNA*tYx8i!8tMAqglJto}xXo@xYoonX8D
zSmCDQ^WmNfrAaVp6c5-yN=({spzNr%3?hnlJjb(y3Pc_K;CBqR=o$2TjC7#D4J7^e
z-pktA201wy6L~(+;wxfp@5OW_P|)zGpEDsP&KX^7(35_bMA^WB&|;+~d^mX1KFwI5
z;8?pn+l)y{Dqb)uAhI@d%9&gaJ9#|SV`E;#VO$39`7^!dX&Zxg)B?a}`RQUr?M)Z$
zrW8l_yMoTAoRwfoi=as6haVUhNCO#89(1KK-p87f`GCEu_{lyq!Vl<y5_cWFqYONF
zpL$v@U247isiw{bBw)ks@PW^>gIcZz^zy*BrTMaITgq4QbKRsf(}Kxbme}SdGl$CK
zl99~3tlRGRKaFi>NSk}-3?Q6YtwblU!lpD_4N$dX*IQfUBhJpHm)O3JjzZs>UU?O$
zM&wuda<Q%AQ1Fv{vQkCrePh&NZ;y*ipq99AMH)XU2IaJ{fc1g&+b&K~zBAqoE!g@*
zwAwZ_!NF$%YZ}O4-hV3)v6aMAp6uZLuw%5&A@=onli$pDgLj7>Uge10*@iNYwM_x(
zpkd7S75<GahN+?S)6KkxcS}oWr~x%-RHbpj?IA(&KTphmwRV?y)O7D#$XihjEQV08
zTfFzRa4op<Z5^DKMU;B~;lvMq?yMYHCxr)S+Id6C;_xQd;kiMCFucWU$r^#fm@*dT
zrK3K4R9E?vKR2;7hvs}{uB>@yiHkuSc7ebOxzkl-(6LZV>i>Gv*>Y0}?Yta0HcKM0
zIt=FY{8@jm`)y<SK=1E*5T&(Wlby+&J^<T@GQ?{p-1uFUXJj($TH5`hJEsC%V!6+)
zFX{&0P54=nGh5@kc;hS{$qxHbhj>qtL*{w6>9wNQzBpdD<W-+}E)K4blv_(>3VTD?
zuiXPucp8_MV}O#eeQ&lBncYooL?^((flFiN;Xg33twdlk#}h`!yMHXLKP7}Qy*t+b
zQbMHF8e9|e=$4Yiy{;^|CJ)838~LKgYZ;YV>fh^ly!+-NFFrP3DDM~)Njs`7;}yiU
z|5B+CEA9KdPJA%dX5owLG;W}o%71n$WS-A;9!<PT!(n-Fh{X*W29tni?{20l?Q5u%
z=Uyf`pGgCo?LcU<X;N4k&eLax^kinkk<xKp1Jy6pKXWf;1LA|dVGQgC(t%ybA-~qC
zlv2oi?aPV7;SYi#<7+XS3;Dh@ZVymTJC1+c3bTiOf+exIsC1Y-GbS@3eWl`u&UK8k
z$LiCzU3XTAgO5+5-KrkjIhST#oiwOub;;vI#4~b4izal}tGA!b${wne`JL(EOL_|P
zBH!0lhR}CCiZ>-lj!#wSN)z_h-Nu3|jTzmqIrhoEAv3=0><P%D2548;>^HKR7P&J`
zvQ^URWHK`503&6HyQ3qz#Ncpbx`xdp11RxhLAwu6>MbnYz3a>{h2qUJ>3~xW%RcZR
zwbx=pPwwP<HVLsTDl0)`RIy36@>arO8jRP}gKcryrlh_bH+S>=4N~hNL0O{K{mCPw
zj?WUu8FfqaE2*i-$jrnx^OLST8n%D6Sp!m?i_OF4souKcS)Fz~AJWr(cx}dFnzBe-
z&y#hz=Y5IwB(fnfxvXrj+H0wVNGl7@e;rAb3dTPUJ~~<|AhZqIIkg1zpn&Y6rrc0G
z$5h(lRIQZmg;8_epwPt~kzz;Atq|wvE*_@Ukj#Gms^rVy9oO8}yr8q`FGHErx8|F?
zmUcYrB>&0Z<RW~oGy-%d90QLhi-1bHeXS~pg7=f+rOcfUQl(9DbijwhFU`T1jmJ_8
zQ;l|0rN)g1y=3m(ZhOEZuj+8q0Odrya7Wbh^JESoSPH{iFWD&w8cT#~`AvMt-Gk$Q
znh5Gj!lzcL7I{9NNDQ8`54KXRWslBvD&2H03#)C07$~CjK=D=Q{`QGUqw|cdTpYdc
z4S>424p<@%o1OEJ#|fDmZ@z1q+wajg)m849Q*qD9D8Y}q6m18yjst)CpQEcoZcdh~
zxNi=$JWheLw2zB#ZuQnIDJ*i{6;6{^r51i=GB!%Eo%va{{LzWp?cw46Wp9vm@_D(W
z{k$kLbJRfGlkUU2SO^w5mP?7%L{x2)jrEY)X+z|Jj@9OHPLNpiFeT7OciU~;I~ncE
z76sC6R-jQXyk?J};lgZbE8x=!Z$38E{Y5tR4CPYQ_Cpg=PgZcqtxao~rcqO26iogO
zWk*Y)`R)i~@a<kWE+wY=elE}uD~mk(tg_B9)0V*V!U$`*h&)Fu@D$lvr?#hG=QgS5
zxW^M5ynQ6NVoJ;Q1$3<Le-<e`e^a0g+U!eLQlIqHsFZPQ=hF;uW@2ZxqT|^ZKcbnz
zrE|3V?^P(XXsxsGFKjknZJSNiT493*POgD3lm)(=IPKjZX%rw((Z^x8=q}*KmFES!
zgQIHdbmt76I2tB&9SPlK$#2<R7HOY5cB?9Jx<Kn@XDMbK(6)M%w~XW;g5TVJLeYiA
z{v0Zknh_8jl0_pxVDLCJ9u?GXy6$bemJ_h2+@*Xl=$RX_uBe)ILW&Ug7Ej$X7zyY(
zX~T`Q)H1fdH5M>EZa2GiF<*75ZpttsjqAv}^le9v;RF3kqF7Xa_zu<;!G-6=iQlLC
zvo=VopqH|Qm+e&cI#H&6gClx=F4{!Wl8lUOvoE=W!(;k`7Exss%<y=gssa(das9p1
zp4S;$HGtNmop{ZVR~r9ZH#;ft_K8^fKhsBweVMn9b8*Rnd|8;7m`d+I^(^+v`x$p?
zQ!Qv5$<c|zrTn;nfcN*?Zb|1|GC?bav=Ehww6*8<#+L}-Ybn;cX-(%eE4`<;p|zNt
zu0@wx3eR<2YJ?O?Fl6OC<vbVMBDs{XY4FApA90lQw%;b`yZ#|RsB(N8a7B_9BJ1?<
zao4+bD;~nrg|s~gSDfjl0clo<f^G+&nu&^>oE(Ys?eCGalffvkoXeYC;n2qMRvU#5
zxabRCN-I~da<v5<iB*NAUoTRqtuQ&MZdGvewq*rF>fc<r_n%Fz@;1VI7y-MO)V|IQ
zI+u0~lSVX2OzU&acuVKDHN)w8NbqC_Umq856PE4k1Ctt>+vWQDF_;^9QaZe+TdP~k
zcwZ9sP0Udk^ej&V^@PKZrP*rw*oOG&s}Q9HPwyBA&4(NvrM_dKvUHW!As3BVKGY2H
zW!<2_bU;w~PR{$1@9U+tJbpRH2mOk!L6Up|knVZqfKXiO`a!W#-EK#d5p#9r5q613
zztgzQ_=KzK8_miiBO__W?k!S??#NrfG#)nLrQh}fOA+f(Vw3JkO9ybE0)!8waedy?
z<TrDggGR$#eww|GzTFqlo#HNHL9IH<Kmyo1%Gu*<TM~Fwcj@p$=+n0!hi{i-QXW-+
zf;kHcTJf~*)}d|2bqTwT7a{1Cr24E(lZw1R9&}xMY`|5Nt!kFHR?zw_{&*f~=3>Uj
zR)cyawPr^|(p8gt83{TK6X_WU{nL%)kVo{|7mL41p}5pZHrY06Eg{Qo&&NES&hj(5
zO8tbb)cSn)pKCSkl+3rSbash#0?YE)(1hyAVKwr=f@mIk@uX{|b<ZUiF<@ylYx?56
zjJeGpp!nkOYP7r6hX0iw(Sa#;`7Nz9*l!d3odE#e2_!tbr_P25#B!;CeoMM2#Wc@5
z$iGQ3&5!f3Mr9)}HEYfsQ9<>-a($AxMCi*vZ?lu%lqr>?Wl_;m3Wd)8QZ1{m&_rpr
z+gXe>-2^h+cfaaX^!yv7{6qF3J?|8;BR}hq1O>UF6PL<c6LMtjS<$8A+5M4>7N4#z
zQJQ5q{Fi=`MPPu_lixx8hI0Z|gX=ABC++(U^<%}+NcGLB^Un9%hu7K{)kT>EVTc=p
z?KFu^$&}rC6?l_AZtXHw*W*?}zSp$N>>^<Wu((ip84JI+yy>1W_3-GzhhpTPS3Yiv
zc>)(Ql~Nq6@H8o6)GN+c2iq1P18JdmDlSU#w^P%rRza4`(nJ%GU6Bi1SiOy5(7H=s
z*yFt-&@$C1L`MF{&JL~)cC5ix#Gn*N_F`Ux^*ng1EqHC`sN{R)4fH&&tEr77Y_|-F
zG(e_b12)FrmNi@K=6{PfYob++CeBEzSlfsv=q|ODIw~bznYn7)Z(0&~J&vNb4QyY0
zx-}$l9|#8K3#dGDJi!Q0+OFb@$>B)CIo5ADv2|KlBmT}iz$`pcDw27;qQi%K5Bq3H
z{jd!o&NneUD?K^NDS#PKjS5uV4$+}wp`(d<9br3k@lEi83}*3V4^r`p0ybPKDWzuy
zf=ujW-Ce}RHXG?<zZjxM<ett{CVbp?Vp%3`U22o+tfoKFI?E3egD6uI`q0b7^-q_O
zk=q`bl4rb_sdrjur>VLmhF^~#*G~7JXaMu=iCy+&<fRMq;P6^3XC;%76Gm7%-<J`w
zsuw<LrIHRd{Tj{u*5cyo4gzXBb<);8*5!=5@0$`ecYEdhvV@PJCn)42-&*o3L;&hF
zYg;!ErcsiYpP$K*R49qQ_}!CrZ(5Lc=M-kg+d5C{2qOZ&1quJ-g`NK9juB41t4n>s
zyU0kT^}A6g^U2q^7N!Jmi@!#jq$KFb*#E;Jh%L>Qlih0GZdn>cJ1F1dd)?Q^j&pk%
zYSw6}N2-@MIqhq3H2T7DBNs+t+GniUR7y#0fSX(6P<=wxY2>YeJYAX#;*sj0Vm)K^
zwouRo7eFcTEgNPG>G>zmCRw^tVnX=SIkW>kU3*lFDhzN>#=rHTeip~67S%taf%Qlk
z#SzS$$dnMArpEMi`sZvepV#S5mRDlzMqan*Pm>VorR-4$Ajyp=CHzeM#t=?GEJgJJ
zxnaWpmCxQ6g!^T+g8%{I!9NjrA#8ba4^W<;Jd9^7zk?`mt1HywMgx{}P)JL7YX`ap
zGES=Vy&&oeB`sam%W+jG$;$S$ZS5TzK1~udCg#NMcQ2rI5Y#rheCcAazq9iT&l5b2
zz%mLybnQfC2^u>#e@O5iX|>ob&6Je(VnW?Z&4!s0jl3HAni2=c+yeESJgTmy+$k<G
z1}_?U)^}Xo(YGr-y@d)T<%1&vN18wT`V9Z>X(QG7G+kIqDb}B!%++&fY$@u5OaEvx
zos@jtaQi$59T)BQ$r9qTP}E#{BSU<*QzQEx!X7-4AhviWAoSp*v%|%kc-G>b`I#X^
z#d1Z+X*z!C{HlL(v+G$np5&y@_I<L=mdR2hJrb|VNhv;G)Z$*<vA<k?U8N=S(&#hE
z2>lhby<6hCj_&^cmSCJ5W?T$2`?x81e08Pr)e7C7<<tbku8*{!Cn{I>a{fU(A*)yZ
zK5{v+ab~1uhH~^riCO!VwIfo0aR``CP#@bsPA;FTNG?2*7VCYtca<sj;M<m@a2Z!t
zH{<Uuc^#%Cp9UUY%SLizxsuT~KVYq~Py06=WoN>06Q~G{O%@Y`r6fM~m(#W&SP&X&
zpN=yC)jsKQG6@<VCYEEm+8sxlptQ7t962!Jtapx=Q)HrCFIObC(cQ1vL+>G`H41Gh
zV!1N1TkqH%bo$(&19gLrh=z-mP}K@csP=>Om$x~=(I1^~<t!$|Z;mC>TBD-9BpxI9
zi&f%0LZ}{QPENP5mj|j$?+K+hAYK1)aysaevS;mL-1f}sZnJ;yN6z>gVpe70dD`~*
zKhFXHv?XL1T=<d5l#I-tw11HzL3Vyz4W{jKkDj=akGpw_L^*w&=A?>d;rJgfwrQq~
zrWTV_&VMr(?(gP-i(-cXdDKg#+R6}H*rOfSdlG(;{F5(O{sNn)d&lLdi{9FO&?u)?
z@zp;RW%E2;t*v<)4MGRykev5lH$MQV7S{qKO)P$=6eb}|zlFbQ2^+x~{nS)ivq=&N
z9;E#EdHM4@(|NBc6Io@AJ=uDfPe3Ca(0C=u(dyf9AvdResEJ9G+{I)L4|DOyyI<LJ
zvXk&ygaLZGM>7lg=IV^t5}ovQCo1SUK2O@pem1`g{#IfuM7@)9HcS)kmwO<KG0TZT
zR!y`vm0qglmbJ#dx28Or)k?1}uXS|Y2>3OLU<PP+SOIKGw)xQo4whKyc@JNVA=$#j
zeq3uU9l&QuCJp(W;QhLjzRk5Ad}_p4ch7~#`43qYCMM{h_<0{}7gCO7G}Y~1k&&-^
z9k*7!fl-@>XiAtL=WodrxVP8m*DQHBWOF?ERPn%kgZLP&{1EAd=#g!6t*2=T?wQTw
zOSbGd!B~M-sB?WUBoVKr`Ey*==J#wnO{Whpox2tHf~~tk&WYXw<p<S2G7V<(8(CZ^
z4@XM)&*NoKU>uNvVidT(^7-Tqt@lpe(foRf8U|knE^>avm*HHiwjO93fo9`9WH`_b
zHMq5KAHT!mMry1IKy1O&bLG81BBKQSjmmc@%;Rg<LK8)2M4yGvgzusi_fDwve^2W8
zdJR@9>MIFOk{m4skycZ}&L%s3dzWWcN@|0GcxZ1MxXN2|w#6!SnSnC}T>Sf{eODi^
z4>xRnT6xFN=BFJHXae9VLi}cdNk6!-O}#92(|CgSzZT<@>|m-B6XVDq`<e4YiJr7m
z9889>h4st3txx(G)B!N?68pCnERQb5!Lw*Av{J{k#xKAJu*|#XcS_}$+UeU0jz8+(
zwx!-C#+Aa|sqQ(hG@UkY3Z0?h$6zDky0x_iD~?M30XenY=1nt#ok-ok7Jy>40P8`@
z+(f*KRc|o8^3(KjkOkks#cAf%y{M8asvSRb|3=YCC^Z&Q=r|2y6ZlD(FWG!sqof`W
za3$T;O-8(+-~da#5ljNAbLnZg<E#eDa{22J(t+q*-kkc$xbw?@STF1?hxpoRDS8g2
zD^QxWbr0gA6-FqIIcOGchQU`=Bt?Az+k#}>>n(Dlo9O~bQLGiTzI0E({j>HlOdhvx
zMG)(m`h5>!O5l;iJG{NP@aoP8jsV_98ZY{u@IO<sUgXnE=47e?gm!6jZ1MoXSyJ=y
z?XeJc-}g5htbe{{buCszF3)6ohJjPk49HdF5$9VNysacH%gR0s)GnY0s<{@Jc@>|P
z;R%&v@b*mfx$a=;!aH;H&irxcu|Qd-Hw)W-f-lA~hcA5JnP^aKq(a06Ntna8TFY&Y
zbbY_1gdjAbn$tWpG%9Ot93JA{&}|zDp0Qx1qKY|hb;+xgU=Y6W0&0}w*=4aC2vo&V
zEux_#*xI2yg8X~Ni%qZBd9XAWbD?78(X^ASU7;4jJDd&IPf`5gtj^eXS?NjF9xOiS
zL)^Y%LIFxLi}{xQ_-35CC1DBP!TPIWnQww?#gF1_q;m)T6jZau77)4^tZC0;vue;=
z!VcqfciAP+Zbf<SQkO~Hh%~7pH})O{^59pSQI%ssN&cOEG`2ZcTg=*UH3{>+7}8@{
zx&F}Oc0vPQ^9tK=NpY(UGl`E!vq#yj0dFw=trkM?F+!SmwM#me(x!dPg4=ehvqt$X
zS%~n)eD(d6v67{yq#k3gS)xt96WCOY0_cDolg*fd6WWE|abqhh8<Q>~*wqD>gGj++
z&>tO`PmAbp=5SmX0t$S?Df}?1@70KYLlCiQz&($0EOD|O?HxVYVR~X4tk?8m8-abz
z6gD<6iPkhAD{g^UhtZQ~-7)|>@cqDpfJ@ji@w477iAuZRqv<O+3VdN@@wJ~u9t=oV
z81n}jmDA9ONLam(d0@%v7i?&_zvEQSzDCTOekxO*?s~P<|8hbpM$Z(VsDhVgr#qG#
z7~!Ra_?(Iw!ExPW`_BiakMHiQ(D%U`Z)yrX$<%5*M@xKjB-e$)%w5Yy5gYb1-SQb9
z!JrBoi95pXhZiUNXF+NJCDq3!b_9^10u~z<PwyIoAP*~IdR#MwWJ1h|+?Y|Ki=?ms
z*lI_koE(T#bq?eN3MM)24X4AlT7E8!qbj|qh2nXmR&d7z>)x~S6yBn5ZRG#fhqex4
zUl%GZcE`Ja<k+6XyeTw91mpUao_sZ_<u_3=@0?cp%~3Gt?~EJ#56gj4P)5b%hxz51
z8PA1k<(7SsxhT1^zUkTRr$n-&t{0mbkK#~UkMVu4*!05*^sL*@ejYjRcHb(O=;JmH
z8<HlSoHhFFi%D*FY`^>IH`oU&1gJVs7>JHb_u8#_E4~O$-6(mocQO&2$(->;B;i30
z{sqbO^D#j_t_nKJ@ykHBoDA46nbCHysJ<ohE!MtEir?z5`-`E99g~+UAB9oY=6K0c
z*nZd8ewOCCY2odFOq1E$wiDJJ7XSr=I))`Us~n{7xL3pjYGS+_MLj@%-#@3abm|v6
zn^`dHpevY1fvJsep3pq-I;_j2=R+DevH<At0o6OkI6$QUA>#Q`VRG>Q5cbw_O|^gg
z@RHHpT@q3QrKCdz3Ash-7_H=x?hTL-MG%#gu;^4m7_dpIAR*E*Kmn-@q$HoC_x=4n
z@y~N!;~!q*aK-2Ij?Z<S>+~qpQ7gH+vfcdi;|}~lv?!2mszowYB7g}iS(V_zh2c-|
zn@TEU5lx4!OvF?rm4YN*_RVSPzJSG|=o*rG&2pS-+;vUq3p4&dP_mf&)Jd`kKcR!O
zSUbgVR-m@>{h0BL=l+F(4+XTr{^1t$VSviCjqE9u56+s(@c{mR8M@u;ruZ@^h(;3B
zec|fDX?LmH?+#^B329nh*GsQcK1(OLy5OA)@h#7xPqs(R{-MK!2AB1{0b4J}ZFSNQ
zK)oJ@2OKfH>zcF`j=DkMUA$16e8&(`0U+O{SRmAnwBDJZm52C=Uz9Y9fyM)5{yrw*
zjw<6BMV7i<KdJLlpgl&Oc*a1c)%Vbz&2+j#3bwBMQ%_)(@>o{)dHDO1Hsf~_u?*#N
zPE&j<)UPN+&N*onS>28KYHfbh^rsYK<i2dT*`e*y_Yfte(ebEa*V4_EtxfqjA$ytk
zyjQi-al$cEH<D@mf#OT`_H9bbMCBgVfiLo-=pe5z0Ok+>6ZixWV(EG#8?W(>Gf8i-
zA@rRW2zd`_wqqlzHKtmZOzz>B$@dG_ggK=Dn8+`$z7MT?4EsqOH`ng{bX5qW+oMY%
za7Ju?x>|fJm90qozO9gyQ}845=KgNlF2V)x49Mc?vI$iZIAEqm%w@RGT)wDlw9a*0
zamb;(!1K83RfAPTfOQ|oG?bLHpxP)i<tH;rPyaaK&mh(VgD53D4F3L%@Pxx@Qe)7K
zcf1A5f#0mmcA?Fpt!ezwrlozV$M_ti<(t7B2q5v@+Y(_HkGQ<vv)bf;<VkD?9gG@7
zb8p5gD0W4Aomp0bBg8TFxWOIk2Qv8=f@BiJL2@G+fu819fl18$Y}Ne!YH+()qlnm-
zpY%(k(6FdKh<Q&T^s+vE(nmJDu(Gg|0S`EsHtQGq;RGa@5(&HEhgqROreK7}hycRq
zU#feosv2Wja1&iBum1J1@$9X)0oQ<7b3~GNf$GxS!B+PEj;i~9H$2_ofk7uvbE^@F
zb!tO;?r=^bJL5v>>D#OVARVIZ-oM=0_gcDoKGDu`P+9Rc87#;*UgL?c8e{hGFg~B>
z^dRcomB^2)U^fB4o>omv&K9-RTZ87)W}?xfv+8Yb@BME@32@186)#%!JwKLB7s#0>
z?el-{`5X=1@$CQoXLRp>$s^=Kc;U3#mv=9}vcK${c0_IbIdQR_%7LDIalH8lmnrzj
zzUI2_4hLf^|F)^lK0DwF1Fg;l+&z6zyI6QG8`s_ac_9<>86$;Dv$kxmw7hl20^2`6
zD#hPmuUU5xb0J|s86B&V)j~K`sCTTs|DXbroAZI5$W80U9w3yS<aqQry7`{gJxZSe
z;E(dtZ=s^9D~9*isqJKD5*?ykKeZs7Hu{4*hg#0SxMZQ3{e@g$EKeTzv@VP`ddct9
zkK;xi^Z=b9vhn~t+lH6JUPJNJD25(K5PO5|GLtBgLiFbMg+kcBrzRfsqoNtyy`Crc
zfaf3=IJRTx!j!cMY0#+hmq5n7YhAcntnMZ47`KE7v($QOYoV?d@s3~z+G}iT_gcU!
z(GFO5)HjrKP2lIF0go#HAB$uH4w|x{x%c!bucd<8(eq|R=jUTT?k3&?=q9N|g`7`N
zPj>R&TF<l1IofTwyV2hOz-7=zH##L5lpE)TOZ|}_YJGf>wpuZo;!kE3y@gYULrI{k
zAk7-&cq&|1n@jd~o#R_D)6cyBuUoC6@yx=;W(Yo`5@S(m!-lD0x`;CIE|x8r+9U(u
zp-x|W)xj>CqfR0ru6=5D4M0Q6(Q3!Dy82*g@=~ErTuy~GV5x@LFWJ(~MxY5Z6L{Cc
z=J9CGBuFE0=1b1W&$mgvI?h7NGDI2TGICLc@)0;f6MgLiE*h^w?jfkP2>MZF-5c~e
zXFOR=0EX}H73j++iRbw+bN6eORIHDzBEcTRiAKocBjD8J`@KS>y?%W4OfL`Ufq!<Z
zSdnquPq^Lsm7fm1wiFIb>(=z?+rfX0)}MRvUIcE{Lea!5;p=K@Q&U;u;pkSgG5aiq
z8L+8ue4tA$TN%-5clpzj*JAlbZYa-SY48r9J8X>h^sL~|f{hhXqcQ**{J9V|SE<Q+
z6c&(2iwgd0G*-uaoD7jPp)bC)Q4#hE5T01zE3*v2pqOBnD}I!ZAX+Sa*(12(5O6n4
zgkp#dl_KaS=}Pi0z6WsqpQ{%<m=3{-gZ3d`(b+gl=m12?>5F|6h%^v)avgEhP7x`Y
z6|hgRu1e~~21iJeEtQu76Q3_rxbc4JhKCVa2MRVE%InfB7e1-faK4EicaY)$7#6tF
z8-{=zv*81Y9(Vza2f9(fk?L4E>n(j|?cPPS4zg^c(`~Ct(_oE_Ni|7q1OCUga7bv;
zST=^R7Cfnzr|1Rcf~To}d*K~nl9$t3>su{k{~ZG1k81|tS<f~9An|JG5{Lvg#}+K)
zl*&+0fa0($U?>h+LARHZ6nHm73Uk?4|HGh9Xxc;sf7P@Jp5EVN%Go+?-y&_o7G|zo
zKhO*y$Dixf>r2iU4t$T>wq~4EPa4BC%r2q)D^HK2o9$Nz8dfINi~7#^yUI&!AJp{h
zYsTDTe_CD`$fMnJCAKim&;~QrFurNMym3S2zZTx5{8<7tQ4QmdU&e&tsqOIl7O3lL
zRYv;X87~UaKWTCjh|eyL<%8};BCm=YtJC*=!+&F(p>Sskr4fpd;e<#0*DiV?J`KF>
zh8s#y(PUf}(ROd`Vl^s0sW<vT*V8I%n!bBD7JGNOWoVDMF)t`sy|YK}ls-w8!WJf8
zK@I8tuQkJ|mpn0JWW%q5pU^tfonqd<{2z|4Dmk$*rJq=5?J1F!$gn;Y`VW6f2frrb
z!%i^%sP2EWBL0414|UefZ<<E`O{*#{=pD$98?B7wTH(f7P^r^SL)W_%oj!xA;7bcR
zH9sH>g<@X9!u@DqSNWLlcRElv%w#eFqv)FoBna(kSB;n4cRA>N)WF@OCyi6X|Lf-k
zAVa43LRl>DgA1Ft1|+qW&~#{F+1|B9&n*jOrxb|tjj!<lCFQtHDoxun{hAj)5&WSp
z$YOxNp>BlKaDX_pZQ%NuEzPYn&j==EiT}mQT~N>~5Q(pexLJT%!`Ktn?%+l6jaUJQ
zDpgM;%#Qj&7hIw&x5hrk%tBgtxbzr>sA~9K;AA0J!n=|4PX2LDfjFRPHg{X)dmVpz
z?j>Yu?|s>`dH-+j7<haGLVOH1wFVfE*m6Pyi!A=g#}g4+E`x_B#w3-0EeC4U2Ia=H
z@Z)a}RcD;WRGa!{1JF7S807d{%-cdwYJE%aW!aXH)x?drzW?RTm)9cjP%Sp^kg>Pb
z(&Kw~z8_E%gY77Qg_(ERz~W8jbk;Zc`KuIklUKG3^^9H6ZhXT8(}Wcp6jMBh?%wGC
z-MXt|K<nhdnII16nWe`ZoX}9hwQN222X)f*f!yf&n;R<e-Iy5uED>h0{G}`2%->t#
z(hxr(<CzEL)&I-4{yz}GWQW;TCHfP?>==ok@tvqI_8WByOiZO$MJc31L~c-OB*yj!
zE@reSfC3cI3gc^nhgIbhJm+I2dCY1o|K^zftAGB$AoIZ`vMn)!P+|eMOZm(V1fia3
zC&J>rlRzwvKy-`M5a=7CVtE7)P&}~I3(PGa^GZRjawDnt0Ji>fjr_qC&;URz9?)VC
zMJP=ue0(f*4d|5n1@?mw<dW`eGAg#uAwc&-Cm7WOT@*SKNunUkvRDw}4+xHp|K6py
zsQ4v3l%QxN^&)IH__F@@L3gLgDf|?k1^LS=$*mbv{oDHkt_`n(Ttt2K?X_L6i->5Y
z$S9li`1xN}ZB&a;07~lB*PLxxvX?Ty3ibI51RiJ}{U|IWJoY_j6KC+oy<<0`Tx@H#
z_AA`Xv;T&3nBInmNC#cSRD+?Idi+<saE|YTU%}|(txCH%K#*K(^g;Y31V(N?*FATT
z1F}?YoCa?Py7M%xkryYt(m?Aw`8C?>e+j8#!$RDkk%m*8!vzbWZOMnqSf7WyG16(n
z_t%ugX!8=*hTG_@7&_?(>-F`&V~z;)L~CXD-PrAaWXC@nct$^a9jnT)9#*4F@mtEi
zf0oSLJ3Ha~f6^WEn2yX%bn}dD@xm$tTa4xL5-9T;`=L*Yql&Z#OtM)xmQdO(@H*XI
z0rVKYl7a5?CAQ!NCPM+jx;tnBM1KFjk&ow`K8hJb-QZle##@^y!e5lzaU~uI9}o~5
z@6i8+zEY+)CPZ3x(1t1xfy=4!Q>ilU@W<bs7ML;0aCDYg#CS00Gk`WBRWMVAe7W-F
zru?R<$ZB}>&=oI$aDtWZ$dMoOylvM0ovq_ex-Hn>FHd2BkmJMI3Lg3uQXUIuozDH=
z>0xW2gpV+(X-%C3nEff<1M3LR1RG%nz%-9>7WEGJg4mujFn<?3tDS)sEH)q857I&i
z;}h{i_$YilaaRlER%r*2DDPb{OJekrG}eGK+!d5fEI=$J#U~dx&zr=qOjSM5yT;_|
z_u}W_)_+lx_{0^8bBWz}OSfK)hu;(c*P(y#wt;Y2-*-V(9~8e?$9@*9swzDal)W9n
zQML33wpdc9DDA*I6m2lO`)h+h6g{^PO*jH=-%4WD9Vh}yR(`bOA}nJ0uqDwXd&E!(
zf%Uz-8}#3N>76f<Q`C5JSolgMonCwbM8cz{#?N-xo0!HCu24A;2RP>XcFr7agR*&x
zQx3y-h#!1_<cX3AS%Bac&49}CcO>%`_LlE>qM#o#G+SGY{4+keC$@F+A#Q`n_I`b~
z)C(^$F7>B#&#kXT$Z6|8{xgT-RkJ?lWo;XU*t243dI4Toh=h;9Dqj!BZM3gV?3;dA
zY+RjSs1X}?7xf3$0e-SR=sMy3t&HTL)`Hgl@(+0vDdsf$&;OEF7V?&IuY$TR?tf%K
z^^qcUj0ngUuvc!D7xs=e8yN}!6T6R55JSV$-Sw13g|JrQrCmvehJrh&c3_emq+R_w
zpKgaiHU+ZMCe$RH92`-+<Nj$4JTHte!V<RN^uuVe<bR=o_abn64k!m`4*W*>SC*PT
zcDx0nCGOwvgHP5@nmor{*5wbLedGJmM|#l;Sevo^+6Zd*U&Ou?RHEQm*Wjz565H*3
z%F|3ayr;Y4h!>`8g{U4)dd&PA0e4l5l<-FiXa*!(6N6=4k?Ll*+xTp5r=nvAJoE@W
zwKj1U!F?89w(n!QFbU+4)q5YcD(tdAVWHg3=gZvh<azg<gqzfiG)Y%*%-hePDS|$d
z)9;G^k3vl3ss1Us8_vd2^6=|6YU2?aJOAv^qlRx7f9i#i;!$n8USt2PvmQXany0^*
zjAPjE1`yg=`)H9y1hHqZYw!U6EVaUQuB0WMS<51FQn2lxGI0_wuv@heM1!^0mXzJ|
z*HCmjzZL)-665AX#wnu_HQXU%+mF^%m#m1zcrg@1RpgQ-*nD6*As&;0or91dN9c3v
z9<XJ<&%5^xXhd@fEgWMg8S4w!M4QmQ&xE}-ypf^Z+h)Tl#|#w<eSKI~8_z)tPx|KI
z#(JSINmbiYxhEczj=G|Ii~f5hAa1rUlj9gBef}cxT?wv~l<R?&zYaNK(*^phZw=H6
z37#A0hgLv`nfHoEvSYZA?O(hc>AMH8Q@ORXE?5q%`6@2j2Kfe>fqCy!<G^&M2*^pF
zqSy6kWk{x|zg;~EKE;ut?x3$Ps^coR+0m2f^hcVq7>kYng9>j_?FM;ZRH6SbRIzRO
zGfMAX4&2D-+!K~X9tzkgZIt58n?&m^v5RPp<kbLLvK&#~j(y{3eJ=Ahry^k{49`kz
zZ$hmZ*jd-riH%0UWX&7J&3G$96lJ9v#Wzz|6EUhy<NY+1R@F(OMH*0?j2rgMt82>=
zrsu~G*qv@MOOVlYQhbr+rJK(Mp7<C@e?^z^%!>9-QA)=@5$>IhkJkJX(!8?KEZ&(A
z4oLKeHf79PY|P>zqXs1MCH7Y&w70`;K<WEO)RBj0kNz?7P|qJc*R38)^IaBk#k^(f
zM3(48gxdMNa)e$T`<-J`2W%$L1q?{Tvr{xXQ+k{rbB7{D6rJ$BwBSqQzw9%VB3%2`
z1BB7SomFuw>_{4WuEd{fLj%%({J@vh+bDhV0mUjqyamP4X{wa@1k_TwQB%uv!G?>l
z=)HQz7l5d096nP*r#g)6s5R$L5@z&&`D2NvcofQqd5tYyv|bD!0jqi@+w|mgX{4bQ
z)O0>noo@dMkXgfqmm{Y)yvnhOf-#H-08nMQFpJT{A{0X{^>(5x-;T+}ZYvU0|7!gJ
z6`A=ho`-$5IphP;)#|PzZaPFXOLaX*XmNVjzz`Y}V)bD$A+~`S+am{I!F=V(ni>he
zENWOuMb@N@q!|m_^6OV$IwweDNo*0{jEMv~*MYrP>Id<IJkpu>C_Ml5+s2OzRKE`6
z-qY%4>P%iuYv+`R)hLf$NBtqXpG~PW4Y?&+5sfy^f`Nj&h)_qr1)CnkRM5rfL@PbT
zXu{Lvk_NT$@Sp~<aSLT5o^ky992+18Bmw-^wnK+-AoG{zu6f2SD#R_O_OzDr(Q=sm
zdh^wc;0LrMj-b1D#g65^`1~mrP*Z$RcQl}5P=Jx68xGbBOqN<SJLT3tKjrr04;~G3
zfAdd%HvQU-JG8ZQ>GrprW(ybj=bcUe?7KS*coBD(sx0+wBql(9K}$ZeHP!ceEI_LG
zYIKmDyXgCbXNOXX1!9UjOA^41=->De6sHd8^p6nOS!1Lg!Q!lMmC6oQ1OSx4_p{GW
z@BYC-nUg<G9atT538*=tm1UeXBP#-v@r+{W;!|(Ss7mwPEak%VC=zUn51-!O<nA)!
zq5B<V2r#uyjgRl0gl30pDgy+-fCEAa^qvHb30!Q`WYlEv7E1$*u^O*Z>;>SL1s$k{
zECH7$8~3w?N4@@UW;Vu%tNT`PO-xWdn)Cfp-~9D}Z^ZG=ciwMqY=`qX4JXPU>j5wP
z#2d3;fjV+{++#TwqI%)uVupX@S94KSEmh_l*Wsy%Im|vd{*-PacTgNC&sCy(dYayF
z3=mE<2s~^T@9<E)Ijnke6Lm3bNSpVC6hR8&Cl7e->ZgCawn6J`ha!=W;+VB5?c~hY
z6wFW0uXWvIW6HIvo`MsiU)s(v%!Jo?n70U>CcVrAX?4KkzQL@%GiG>W8n4!v?8U6E
zDpxxg@)ta)L~Pk4Qh5o+2qVGXW-dL%(_h_~6?USkL<GC=55*p~oqOZijEA7R*YFaQ
zfUSA;vjyAU!t|4V=1Xu;geqcXbt#Jx$$Xs7IDlPQL$Sx&^SV;}ZR1f3Ge_tNgnSWA
zqv*zIN)e6yyt#`tti+Ah<I9^g4cb9(z*AVpwA7Y>bxGopN!}tKQ5YqeM)$<byzT<r
zvTfd&7*6ET#ywqQPiF@NRtuY@oY=$3=X|;4ULV3<b>xIGp)Zra)77l``;kuwYJBV3
zM2eLmy8SrO8ZYrz_VClKv=BM+-IL`<fr<P*IzJHTo~zWbl%$&}>s_rOZM1;8`$kC~
zK&Vk0lZ7he@yMDEjIAKagkzmfCN|HNg#VLa>7%wOG|w~<4`{B~xA?os*d9epc>%W1
zkz&ekY~sw8Xv)n%j*c&1JhHU=ne@8SE+gq(Ex-Yv(cswuh*XBkX(y^h^y8XQ%Ug==
zI02w)hV=1$PDQaPKs)O;^5i?Eeq?V1#2AM264K!@Z~xz3fV#m}3old7;b_V|W6EkQ
zqF8&D6?qjxYMJ**96w4s)O^w=08<AP!-Whfbi1ou5b1gAuuwkNMNhRC?)hA_v<U|Q
zc&~g?85i!2LOlKYrz@)Cr}R5LZn$U`PHYR?o}%60uBB+EnPovSrb}BESoX@_6h_G+
z1y;U32*4$NKH!5!N{#2!K7o=J>f+C+ahST0%k-DN?mP*P;>k?^Ek(=`O^spg{Sc+Q
z6Z+UIEtqYC;doYKQ-NNL<mq}hXeI$RsvRhsl|eX$y*YimcZ~aqYJ+)W5Bkv&lKL@p
zk<Ig;$2Ewp45vq^1}G_R0%Y!JvOx31)VU*pj;oDi8N;aPKUk>qsD3S0pFSrEai<uX
z-Q<WrQbzjIn8Bi%j2$1vwlZ7&|CaPjeMq}Nb!uK{f_7F5G35siKo`Ii$0+U49K`E}
z4(;+3mQ#%gGm0lKv@94fq4%UFpo}D%i|oY8<s(1ozEFs+7R8wwl5{SMG4fO9J|D+)
zy&AzZ1d#d%e2kjZ-Z6z*<09A$e58_!2SbepKF=zEuZ42o@I_Luli0!{cW4C#f5Nej
zPF#aAvPaaIm(mVCdy6q@&TTj6ve{nuX^7<?SOHpCBnF_PBw5d{xC`DiMV0@0OS=r*
zrf-5ih_>U)Y<NsPO??a+gV)(`p#{<yZoZq}r4MM#)D7fAQkHFESG;@eO;cijHp<a>
z>e46lb3kJ59j6eY5hb7_C}3COf9GQR>j%<9gaDNVcg_&{AwhoB=~lLjnDy<qlmuwc
zD(g^;EJo&>-sdvlg1W|<9GE>gMae>C<K8_IY94pn+myl@RM`Koc=qs`5}t<aLR`Zm
ziClK+Wb39&m?_LPAgm<p5=kHNgT(QA{EQ54_A#o}1E@gARk4$|cGr!dryNa^R%?ke
zxT=f2R|wy+s^F}7g?1~LG^W%mXNa{wc0Zsd4Ao9I^c+>(ym%}?*ojeYr6BbRzQNIL
z9&jFTa^M+(?RVBqE+REd2k>bvMqL-X;A*ZsWHketDl}7j5^&k8v8_L<bzap){m(21
z0gP`8&!bVNv!l$T==1INr@<JZ!Ng~rRIf&UH51sxtLZm^N6RS2lFGG^{7p<M+y}O3
z{-@rzS-#FDsE*+`%kct;H(Ii}N4aV3V0U%O#`f6*)i-SvL&})1gyZpVOZ9J2HWzrv
z6E9;CB=NH#Q7_YwaSdKhs$177!0y1NPxnK1JCR3o&4;VNLJ2@@GZ6|P4f~&YgPH$N
zVmq4j|IgwjwvNI=!FvmzWbG)AVU~`KLg(<$o2u^naH061d0gt6DU-VvV+)W^0cfr^
z5%fgo=SlKm;(MU9(<8KPw4yp4<f~kOFvSi^_ZEQ7&t`k6q_cjbu7_Y@7X;pD&cwoD
zCUJc_lw=zyycokrwI?mX2N9Fd=e2<zFXF3p^uKF=iV`?@$+N$U9T{TO66h@nYk$cz
zJ^(I=3q7ar7({Srp?yR8cQ+sqz`SpOazy3cBh(Jm6lU7}^om5sH|-M!vJQ`Zc@@CJ
zQ+JxOM?LMLW)m?||6qVeSZ+ej?!H9Jb_NhqA!=O0a!PhBTl4%i`;$4#(MD&_Z-(5{
z(gx2S9cteeMYHQ)#Tb^5yqU%G?*Y3)hD)cn<jFC<({n5#V_$yb4UpeLMqWW)5*|=2
zq*>Ay-7|ZyAENj-uabCqeb|VV4I-R$a2tmBKGac)*wP6-2T|h;FMCxmLVP-tK{5uA
z3C;P`Bj#m7%n5Z7gh;@*sjxRu3lHeL!iA01U45@z-rnjn%1@;S7-fNE8t1&}-tRY%
z)!26457qVkyTC%&<*y;XJ|@10&j?00NG+lUz|HSf#b9|<r`c(bp+jT#?$y?;|FYxX
zV)-a|b`OahSK94ayh;d0zkEw?6vpwsvYm$GopjLDorqPxC+u5=e$>WQw-55z+!z}$
zSoB!980U&6oiRlXym^}TM+jDxB|MVPlA(@j=we|@gtsk=I+776dzn<_;z-!!_fCu2
zw3Zf~h*^*W{Ond%LmSt_@4y0Ac3xD|_Ej3e$JF)%Fgcb!iNfMs7dj+uACl<a8^MAT
zR=zvy^}oV?;I&FR@*BY47a&r>4G_7-)paH2V=wcm(mOSyS*zN4F`%*Gf1((SwJ5)Z
zsm>+h>=nUttHkPBvuMfh8dRq=zP>o>vTH)j7pDwc=*f1Ni+iJ|nSCw%eH?_%_$POe
zVI1GjXxFn*)$yt^^s7foZ({m8d@Ciu%zV_-(9^+q?hM$O>v`-<69eNc{05#Le1Y-B
zYu}qOj?Pqb#oIHCL+y&dqPFl;{0(3ga^=}(Y-_Ob^T$eY1p0&n{oXlBR-JFcO^aG3
zTcv;F!Jzydp#7z*o^8knITSpgNqG3-+nkS=Mk(K`C^inFNe6s^`^HIqTLfrygb)@3
zJu}z#BT_ahMq#Q50xMK8uWa$b&{S9eU3?WdH8BlQdMj<8J@hOny9U%(Zl737<Rpt@
zT6xzU$eWn;O5eE=WuchT@)_H3F7jtFc79ms#+UB5$+^r^(4x={qAbzVzz<xe*0~?j
zQKMzF0SaTF32X5}^hm;Om8~489V7!K@8y0nE7a4!RAE3H+W)W@nid?+xYGY>6mfS?
zpQumiNHZjZ;&|UTTe>zFQTT5kQ_lUV3|51#isKp-=fh&`h(RD(Xr0W4Cvn#t`{N<+
znD}@ZVKVxSX4{$9&;T?9e0Gm)PuvfVn?*%H-B78J?&b#;WjvcZ6jR^aejlD;s)9U4
zjxG?QKWZo$*_$;!YhUD^H;Kbl0p$If=yxy5Z_IaeNdV4|vYEh>QXi&iajic`eF5=w
zpYSk1q4uDONXl*oUo~F}FZ>Q9d|s25YD8li;*XL`<3POiIuk@MDCLvY?Wk3MNB|Ey
zB<3YO@<KOrhr%|`Dn75D%g7nN*3`3fEoAx1P85pC4CdyyB1`#4)-a_n0iyosmK|~o
zAqzi^O}P<<=fEzb!QZy<)wb<@?(b8(p*RnUsbz)_HkaaNeO-dJ_qwkv^(U-AYBUJm
zP!eYigZ5Y#`d8|t`AbLe(Pexr5X>5{d5q7=Qis!y^G+iWO))li)C5U#jHi|5;5%g(
zLZ=D|lOy%`Z|E~^GQg1CL5am;5<GL1^B#m4J_8!aOe?{NHd0(&srBF$zgs{S<DhtN
ze$~rM32WzY?1=5MJ-MR!F)He#7SFnSEl(O`r>yl~bx9jLA}XN#i7QmH<zoY|0Ot?5
zQ@rww!4c<+6rr22mTR6dO@DS(0ar3mOm*P*uI_*bl>cs`?JLLpZZhs`pe9E*C!d(O
z$wzCAw+&Kwsq(_yxQ>Uri!V1r{E=$d36vjnc#mNdGX5ElW59uz%$o{bXH;9UKAXHZ
z-*dM+C|kA+?F6_99nUkqf0$z%JyoN2v?GIunjMIC_Fzvg6~J0rGw=h!V{c<HvjfWZ
z;-L<dvujjaf-7DTdJ;mMc}=@z1tET?;U?7NQWWu2xg_^o9w%!R=mpz|t%9(;#QIZR
zx0?34n*=tdJ0k3N&!ESMgUjTi$uQJFNKm-e5TXgTkg2_|!DvrCt2=&TW48Za$sYog
z(gx@ot}EBHUor}IeY{*fkXWgH%HvaazvC+7NQE3_uEgu`e1<JJV;kH01m4ec;IkJ0
zIu+gsW%=Ir?ivmM)U38@4J4GOFTD3T3GzBu4jfS~MU@`RkG_dE<Dm#GcO$`~!Ed7x
zM{O{7NY-lj*Av1tWlI}$Xc>RZ^hSwH3ee>p=X&6tlL5KaT3EJ!`dWVVGy4*y=0_#p
zXR;S<u5(U%D1P%}kkp=aSe4;ns{S?oM7M<XTFB2mPo_JQz&MhollBnieCvER=FB}i
zAX(U%uE7*y$P#nUtbte9L~#+=p95S!cYx`&Ks4`Ntcekj)g5Wap4?q2mmM0^$21y|
z1jCwveXaM7>+wGsP2#5Oa>7o3$Y$M+rrFE8^2I)C#w{(vum3a40{#L(1qO%+_VIp#
zz^SdxDPZWLq6)Wp$zLG95abX{NSIjwr`@wHHdH$#{qv-3x%UmW8WGO^i{&&oVc0pe
zZUcIzj>%!cOXlEgF0jXqU3_GwVdM*aRkTckmjcI(UhBgjWsS9$s!gUAJ(W{>=Oy=}
zh}V6m#}GHJwkXgChw8HQ`QojVn=N%_%d2#3BPEUfDu&AbMX2JZfE&HEQC*8N4l;50
zndVI*Y6Y->9e7}_KD#(ej1X!7#@?J6eOEL~4wCEii8+bFWE2-(XH#B1g}RfZj15GA
zj0f&)T7EUA*nR}P0)C18>Z#Cs%#YkqLNT$@Vh?`kyvYV1?eDd_h2DkBX1sqt(MPcq
z7}whBmHFs)#T#TR;a%ZJUX2+fbZvqmeiiqOq&HhNsd(??#$LI+_qC!ItN?4(F(_uU
z{EYvjJGGQINmO}jt9uHMa}HM|@e(yJ@ts08w5&Sb{%G9aUiCT&O@OKcqx<`al{}P6
z)tD36ss~pYi6(puO0-KMvU(S^gw`5mze<G;;)6EQb;Qtm6N@qz<zS?I`rwNPFY)|e
z@tx*&&(^<F_gX`zH$1N<bjO{zOjZ0StkXFmwnh&3R(;f?1uFdEEyKJ)Z{t~@AKo1L
z)8zEcV^w3XuWBLWzBLBkh+}&Atw6|*h4yrw!BK#`;a8yjh~Mdkc}MsF%TM$h62<BK
z6&>ZIf{obLJzl#jaykj5Y~NR|dOJZimr?BSY{I`F^W4HKj?ezKO2ikhZe9#D{Wm9t
zX@_F|Bt=EfjIwP1SRcr5#->%3NAS!A=>ewLB!TysiF)I|t}7Q`T2r32N=^vhyL=Sa
zPrFy`J8Jn)wL!>=CUc*}c%W<nOlaT8bOtO9e}<oR&azmZTiub-cG_NBx%~hhjCh&t
zCco;XV97^YRXxGm8h4kmpDnn5f2HwEmc}YSDmdWL?wWnw!84g7-+L=6t3J}1Su*Qz
zk=Lv@g5ho#^k2>VScd`&6NdMyJali<ZdRobTc^2EoLNrz{<Qr!G&_fv2}gg6(Mbly
z!;>JtFrL0UOEPl>oD|2DO^jnrtMVucSr#TDaPWT<{q)(uY<A+uf1Vzl1(ZeXWv|l+
zVdFtm5U{Qltr4ZJ_7fNuX089bh~p+JWg5(^`XNWUtC&txp|CKu1KYx7LC6b;kl^Qg
zHF`>dSZP<G&#np)me1z|mPZ0jLU#KCuU`*$-;T~N&Nl~63s&{JwZC&SYQUDXW)8KZ
zK0en`yLa=+E*=)B_K^_z$ks9K)}$Ezx3KiMz(NnWt1yN}UaD>_+9y7S3}1X%RM)#x
zzJ@(9uCToY3g;NnOrMaP`3FYFfxW~v0=@z=lfBKrV%lk{yYfi86*QZIjCkD{zac##
znw@gFXfPbiA$BfXL;{9rOi@6dPjjVb{&k&DAUq)JZ)~vj>C!KI+WUB?k4wj*0UciJ
z?`dKO-8yrS8ECnjxrf^wSi{2WufAzuE>Wsb=AB{69^oVSr_Z4~JViTG1Sw<xep)g4
zd(GR{coFPID@Fj!0ZN?Q$ka_O2eCskLG2_PmI!DqvrQXMI;}=1m?d#Pg|PtU$!!K5
zYM*H1L!a-v5R{eaYt);V>`tW_A%&qxI+p&`_w%80+$ENAsi9(ucS`g8JHciJvF4Cj
zDn>4bTS4wytN7Y;_1YRMHs;IK93wg|d^^=Fegj{aQ@)mp2IvTl|7;<({XhsrtQWrY
z^vo%(d>GT<6gTVHHE$e!c1<TU_S!Xt<xE1&cYmTwVO_#I{txGCE*d>n)mgb%t5P!}
zT{~5Dz=#%`XlljASBGCL8Dc!4=(A;zmN%TNvc)E~{@d|b!5y<Yw$K5wfPtwm!-x!f
z9+V>4$T&3d3`7r>MF3C6#n5zO1~5+e0n9J&6Gx=*^R#ENZOOaC^xZ_d`}MD@b)F+u
zA$=k1(ML8iW_IZYcI+mrwo)ZK8i@iF3!{2X<4HBM5sWcxzJ1yUUPW@HV0#Ue#)^-H
zl@vsyFYkI?C<p5nrS&71#|ayq-S;Y?#q79n^VLgc8%bSNGh=oLCZ?1N!cmXkx1R=m
z3my1X^)|O%KrMJ(1Eavg1&=C{(B~Y*x(1v!tm?TZi}*ZN^~vaiw_nKV4Cy1)-RQuj
zseEWtF@BthzN2U-Yq$gxx|fB(xnw%xr{%>S#A#Adibmb+z|v?tf}ZB;w1ZYvOQOd1
zg#HVQ*g=tA3u2Udu|?nm8u@Fz?bwf^&a0=&SKgg4i7jn*;FY00QLwy6OrEBQHpuaS
zZ*5c0jql<*DYoEJ8C~_z>T&o}lJkc<7j<{4OE-cp*k!P`xj3k*Sil2LVPjFxeo)1m
zkwtDdQ~jEe#Eb6S$8dw1A>%Ob9@ouJ`kgc)o}Jn=;umUFoQ-k?HH)47^?Zc&6F|4u
z;Q4Nk-y0O%{HN(wFQua>z47gLi8r!f0a(!hr+JY`Ij6HDg6R!sYH^wmZ4$Vb+|Cb^
zB&63>Z)d%QSb?W$p1$;^Ow4#7?nk4i{T!MHeXWMtq%kA&u1A_jtHE^`VShd=n>()<
z>6RzABi@;2ErH)+7}ob5>85_eGaw-(>m>XX{UwRX265PH!>pxSx`B>^50L>^JtNpg
zL+}BiV_%G=eGAH!!E*@(yNSIwQQR`g?`=BYN`wwz-cr6Oz{tjhO6p%DNWpuaJ#kWK
z%$yk8Gcv?|5Rj03IhEAqW+h)UdcQ-M-NU$CG=NWZiL*M$ap&P1BWVuS#LoZ(P}A0=
zocpadA3+n*u=eTAO(qqqW^7O~_xZA}47-(cx3lWGf3Xjq)Sy(F#331&fpa;f(PFP2
zMTkAwjQzwx2&1QdHrWXO+s{9}ZD!LjBx-zk_E~qYlByzxu}*-fVVgSeRHrqI**G+Q
zZ-MmKpzc{7(&x)1K~dYVk$rkomKY99c&>UeO_P%vTC4Mv(oLN6k&MO{W%@jGta(wG
zstSYNT-S5PM%L+nD18l=oNMJ+mu;kdsg$)hJDnXx*=tpvW?lWz((tlJzv#LEI-`?l
zV8EHo?%$*WeMzmuK%v+a6m++jvfWqQ%=)?w!+c?JjX53Nw?V6~En1dEA?W^a;(&W8
zuk%86xgp+Z^d-O95BweCbBc#_X1^6ejS5en_PG#f{+H!}bU+Vf>fN%)%g)nZc?F+y
zE+<0A<$8j5b=_qs^5d*@j(m1KQQ|67YNH`iB%<r&WTuO=KdRQ6ofot@fiHbmlC>&0
zsI0pi;xsFa=Kn108s9MM@DQK6$K9w$-?>0MwY%Rn7zA{a(cBBZsG%*L+J*HA{wWy3
zN~qE_o94hV$~lSa^IGs79QhV?%0|47ZWx?2Qt`|TYq@<6Qk){Wep63JF|z&2<36h2
zE~D<oNyUlt4bg+%T@F#NsFtBw$xl8KjT465OTyW#Ae$*jap*wwf3eCKKRuiQn|+AC
z{XmyhY@vyBs7wQ^?NGhW+3e!*?rpVKy9wj1IK#+aPOEJVxQLd=UYelu^QkRGTSkTL
z5YLi{;zKY;+$cV(Wvt2~5Nl;;OMUtEjIFe(Ld&fQ`P$G=PhxHv=PJcMeoRSfchul2
z%XwhMyQ8%E(|POZLp*y+APi1(Ux=SETEy@LIwcWZ&>5UE_$^)N6ZS4D^o6YSo0`Pm
zHkO_x@3!K<hEc6Or~0R<guANb^~qeMPH$Sa8m2w_N7daD4SE%(5qVKDFpahVf*0}W
z-X~>%tEe3?UJ6-xO#h446?H!2)2}k2j4BM{G#QLi*$AZW5d2Q+BWGMh=GXJ1`GZj<
zypV9|60xk^Yp3f;s%Dp%RCq>UgR)Pe+1eTvW0Znyn{%!5bPF`$KM;H)%MzHNwN*>+
zakDYPD^FLV^>l9M!aIo)X+{1IgwPK@VKn8MeAg8+=_cXzEP+XxXylukcD~Ank9?O|
z+3Qd`R82h)aR`fiyRD%F9gapC+}asVv2O*OLox(ny;Dh2TPci_?QhfoLQw+?ykJ1H
zygr{+8o=-h^$=>{mo4}5Maj`LO$Zfus94G(0-7uDkhPsA9GF&?jwhgJGJZF>G6+7j
znzo~WpPRT3<Wy*Yp?K%Q3!9SiMBv4N7GrNafwy`>KNYD;2F9~IzFl>hRhDFv8yMg@
zo`m#s(#l7h2aR>XIKpLXbtQ5!hJ(TCX6bL{sZq(vQ)=R(vQhh2U=BKr@qJ8KO8^ae
z5kRWU2xMq)m=ceyd9~mNh;EutC;AO$SkcjtF#BBiT5S(+m}`6c*jNkhaP`@H<vHAX
z0i)an{_abH^dyIYh4rESE3nN<XMbtx%WRd4RE-?wDt#FW#TP|!@flrC%7&b&H#@#O
zpZPUOZLcRy{Ub3>lWB2AP0*y{TX%UQimK1fgn=x|@uxXL0s2HXVCuJZt}}<Sk==}I
zx?|k^aRLiYf?Vh1fF_B*_54=0mA~BTt1QR!hZwnnhf+QKFV$LQV$Fvy09YfqS?cUx
z!T9M&^uyH^C1+~2D8gE%)8qHvC9f}2nsVq0^OyLQV6(=$l&I`Y`>=I!Cb3F>H-z&e
z6v8!1mUT1`W0i%u_gjU@z-+muQsRI))74xtg!p-E4b<Ce>QluIDt^}{_Mdysn$oJU
zc4r#exlpKGvAW{mTpMe}w6jLzi#Jk{uC<f$o0l~<F1r}2Sg8?TN&!h;UN98iTDMnP
zDj(GN2YIGFn4w(&dtmU@JH>F2-5R1u3KTDL{6BLuKGTP~GA~P=0{(Qz)2dgON^Uej
z5*F;le43x(VSCq*g?wJ@UH0JR!1)f(Mm_#mxK6J!ca?W1F1e;PBkBimtO(WhA;VfL
zHdN<OTj^1(R{N=4u9h8)<wX-?fb}O#7$7;?RPySrDuhNs7a8;4UD$!mZ!(t{G2fed
zC^=0?zFApOGmRJ*A8{2n47$bNH#K3yx~KcWpv3cbMZ%J2(l?Pah7b<!DtoF5*yg>d
zE4sf#7iT`7V%_6(o<o82G@7Ah4xnfFDrM1;#J{rhj#);wJh0WY(_#lBL3bHs>(5h+
z-c)+@q5k@>;{L$uqc%#h7(y4GDk}mwF}Za(0N=sMR5N89yqpXPFR&Qn87Q3+;;>?b
z6?qI_cCIz2D0>x=(skZU*SE_#CML@&GK|j*5s3V!zyeu4ooA$zR9r*PlKA!98g&Qw
z8^g+2+4*nu5hm2wPobfJj^H(APe>`-*f(C`<#w+EkAn6)V&{qZNnyQIp&_Nwg#)lJ
z@x%6Jzh5Lz*&gRa(*NZakTJ0?7VNDBn~u`RbE2QzB6EXSO_RHmuioYkR`7_a%eX%4
z_-S}4a*Fl=<dpt_Ntql)YW-(#U~vZ8@=ZZ!<(#VsdFfKNNmS|)3lQfDFH^dlKLO{J
zaXHssm+f3Avq3|S7Hx}~sy2|U43|++m%ZfX4Gg5`E#^h8U1$>g#|$dJwUR;EGV)N{
zO{8cmJ`PfAPG=GvV_qMc-_WDDhSkdb@r=Nz%9O{VBalx%v;b(b&@`@_q9l?Fch2mL
zx^s2=Htz3qgb82i3rpXp{~GFIcheD3&t9@Sx1$i!(5!Cist-I8to4#N>(C-!Pn!;5
zf%2_5qq9Tc;{5Z>I3L~-6<Z$uqCO!(sgdsuoArDU5mYsvu>e|5h9k5isofjA<$jS%
zwBWN8yUJPhs--9Y5TgZHj@*>`%IHWTo2tY-NCnpV);rv(JV~3V){u^XD|htq%}3pa
z-+GI6W-%I$f-K=ilQY<0Lhb8fwJJ9}KjjOu$1$a_ZKQMwh$nYVRsjb!;NPW;>ICqy
z+SG<-#V%<MPLGM^{F>Zm+)UXzkm)0KreK8J4fo}yMEs5Z0ZPIm7i;r!-&K|g-Jt96
zBC0DxbHkaGeF?b72gvDBhJ~J7B>kZQGe<pV7VQ^T37>>AOOt7b6Td9;434*dW#ae-
z4zKo7P~qCkLp3Dqbvre0S>dBAF=bD}4I@@#L_*88H%K3%9bJF#wdXb_ZDS$)gz1P`
zu${?T4HI{Oz;T;B0JqFkLxbg|($Ff{{=1RHyNWOs-h=ZuXAxr>Sq7s4{WnUcVZ3y!
zQ~2YNw&h3Q{g%DP-^=d~(}NE&`~~B_hmfUt#rWS>A&wW<xY4ta;J5gQ5b*kX!TCU%
z*ffuAQFe2RCp)~gP0iWtSQQEOa+^YWTqUu>hc7|5t6z1cq_#^kzS}uzGL8A;i<(c!
zk9p_2LfIL-q8vVEnoRxr%~?`W^i**DUJ~I`H}htt;gb6%h+p}${SPxOCY)hmYSHB<
zmhi$y&>&t3hNV`g4=SuU(3tn<ms@|cBTy(KoA=vFI&t&$lV6I11^fHiJi>}Mysn&o
zJ+S}oG(YiFkQ&j{B;tW|+0bQQa#1)z5hYL;x&xHIMl@>T-{UQ@F3A0te!!y(F`d%}
z6jWl8x%83H19r41BQ%;Sl0uy(FW<e71>=E{!aAPY;GwsJ8h3~eo-l?oia1y{I(??~
z>iNOh(-MN6TCe?Cl?<G>)|NQrtNCv6_!(KH>-l?&Wp|{-o5gomxyU9&T@-J3%25Fx
zLhMi56TxJ2J|d-yY7RJp<%U`pOi31XOraud!gT-J3$X9&;s`qsS~5B^C(5HlmLQ~i
zzd@%g2dy$c*uKavrV8IKfdr+6f%Y5_r|>TdgS$j}co1hvX`yW5?{duRJrvzdaQlT?
zP&s=?kdf{F%z>U66OliwzHE0q6~Zy7W;`sod~ui>m*<o??c`#(`Ns0<yVx>+q6v2O
zW1$6PY%{+Wz<6jFdx|9VvBtvyNp|tBg<V5&c5yY+rYu_sA7e@>yq;#<Sv~o=*e^dd
z>QH(W`X&p(H;gxHt!=)v2zLaOBUAXD2Bbb-nR9Rde2wmx?&DAJMJhyVyixi5HvbdX
z&HMIQxl=K^6`a=|)jRQuJ*NCTkI6x?lRQhpIjkT<%k!(LVvMYRv{?~?v1mY>p*RNS
zX%_x^@4yS@ksWLAzko4+;}rYy;QH&4O1RDQA1{KjQ!yf6Kqw>rzJ`ILX?j-{nuBu>
z40v51+gE{7JEnUnwnz^JI+Jjk|2zmi0HGzXRM-nBxcBXCCB8b8#A`iXr3XhtrYU)`
zRF|3DKkE|LwNK>n1(;t*=R4accO<VUx2TvY(>Ecql9==}KJMA<eneMzcN_L_K8SNf
zG8mTD|8VYmr9C*0zF2dAbbwO?ve7es5+OQ4i7R+rYRTCZ$-TsI?st!i$d#zGb7c0V
zrvpZHob9$ODP4JEjxi_d#1@-1Dm(>|U?6&9w^!uRD=PCrwu=tVo%S=d$CU2vk4I1!
z$n?`&9A8I`4t28Yxt30;^Rf%8<KUSe6qOwAE`}hv<mM74wTe?WeqaBghH=B|mvB>!
zMNK!)OjECA@5q<*<A(}c4hSutqDXkz8;~AzJB_FMO}f~%;iz^1c_R0;YsWc~Mc%PL
z>`=dJn|h~V{+!(dh4pNztFIquSMUl_I|%7hV}%F18d@`NCLH^jo&RRhZe6Fs+cQ02
z*?os8x|Pv?+;L$>`lDS1IK%!>HHl4k0yZcfdkOoD$GH-zytr8So4Ujf$Y(NdpLM3(
z=f8N@OLsq3p=X+9bfNT!m1un?;kNlPSTdBpzg6N?B(<elxX!4^hz5P(<3yT~*!cEY
zo%-n=qQZlOn<?*qPxFYBImB*VGGTWHn|8-5t1+{XlvnIRrLGW9=(}~~duQ>IoTP8|
z*uyq_M)1iIo>ZZ6A|FfMudIA&5ag=PB_b+t`GZIhFInQs&U3K(lfXVnd<3W8<i5P}
zyTuL8OlR1S?;nr7t8cw=aZ@u@xSW;M$Gu2<2r-KrlI%h0FP}F~dc?3He_<o^Ew;rc
z0>SCoGxPGfK>*i_dD_0jNMWA=S|8{a!ZB73a{5@0XZzCwt_#9OnX*x|2R8~2K}1B=
zT6E0nNa-TGjLnYWn5{x%?6d6i%bHEH*3)!oHxaaQr>;JBBBgNEl}MQsLv!F)qRy^D
zQvyACOGa%>?!CU~p5P_y-ms=zIi>1|@8i?}AKpIFo`v({8foKKIJ8Z`Q78i_1Mcj?
z!nH{%T0oIk0lKs6$+^c-ZYi=gvHo{8D&bZ=qeJmq>q%LIOsqM|mjg$5iA_{sOSL!8
z@8=A2#66|Smoe9O9-voe+`*5KIdtTlVjS;2ejg|#%G<(vQ;%TUgrj+Tt0xDU&myPe
z4SvG!?!0$b7%4c2mR51W`Vnx7h0n6g=-+Ay-$Zi!O>4E6eXWlc3+)*OSM;9T@VKo4
z*)coYysW2Rgic!jL7+~$H29>NoEPVvUHNwEso|7t4Li#wQT;(-mZ`Bi7iI2u2RIJW
z_aW)A2{vl3!R^+tykpmNz$|Q<t7OjIN1c%+d^@!7Rir|OeC*qS+=fjNFTFZEO}B^=
zXY`sPioW~KHu^?uvRXi;0$2HkMc8lZr6YN&P))PB2TXaz&b(sn3GX*i+cz*w#3*sv
zu?89{nP!jl&sy80$vQgu+IwR@zXf)Lv5jqQr&HHT<-ngc29CBDA8ECPPrkeJ!)7g4
zJ_dI7q0{!~0zxWCUCg|hV!1Sxk40?cJY9ek;kS&6M+Z(>$I(Tj(Km5|r{n1Eld#lL
z?p25QI-5ar?YXH-4lhobiLpo5lXzVo^$*o2Kh^z7Wij$R?MjIi#WBl^fj8G7;*_z2
zE-R2)6$gs`*Nigo#z5tyuF)9_xceORk(6W*O2hJH@Ydxyd_%)p8)t>cUQD{&aWk;6
zJYQ&4fe;7wPDjs4{HgW^rhIC?DK}r^8Zh*H(2VYg)F=DVPCE5{arn%!W7Vb3q}Ewc
zGd<{-7b}u_WUS~ev<8Mdhl~g#rMO7{sp++{aLlk`-5IEX^Cs?HVmWSk(b@WsbN|Eh
zEFSf$_kD%64qiAJ%qG+SgJH6i`w+UgcYQKMKWEW`Np|yaI%!M)`4!!a^PNd;XL!nI
zI;IUjNW(kI0wQEn(Oblm_|b)`0nZ0`HTK1R?ntk7HXE8M&FGarA)%wXR*US^ryD9C
z$L)+OI~Si>RzTMh5qoFUBBE#PC9r2uIzHa&u?!<@NS%z@HfEtw^?kpEMv|5ElC*vE
z4m)Tp=z28p8h9m$`rf#UBL16sv8e{TN-&U&S7mJ8t$eGhzru&IoZX20@KlutHLHQ&
z*FNdAkWH94GmbHS>mt@jeo#C#?LkmwVFy^FjjnG>V1#o}4o^4blz*~lLeG{?RV#6m
z7k+qiP#hI4YPbz7JscJko}H_%06gETa}w+!O8%DI0OsCTlVX>8nEmtmqGIl2S61WL
z_ZZIU1*&yF4zWG2n3yDk%Am(cUdEKT7yf3_^x>R6_DRj;TEwr%kNaK&C7uZCnD#gI
zD&-f&oO)XDa!#{gyy0j|NC9Rj0=gU*pxHMExi!E;n#~FMARh4-a#!d>L%-d>Z2~(9
zV+ayk>9_gCa__BJY*~P9{_E%FX0r@nVf{nTk!H%>k5u?zj%pX&rAOVAW!Yx&R8VBY
zL#3`et5Yc*&73R^+wRN|Ql@vzM<*V^^px{6QMCe}f#aXre)x>n(y~}K#E(M!nqlO&
zXU`%XC$qhtezbbdC7wOR=PfWIlj*#`@AxR0+6==qNa_#`Gh$!bm$)lQ_U%$nqZ3g#
z3u26+KzY&k3`kYC?oFOvE7im^J5JLT%KJN<-uJ&ia>iOR)H^g3EWK%OZrA;J=StdZ
zZXEpG&wF;5D3;MP#4lE~SZMK(F!|6)TAioo%@3@`=fuzO4xwnZ(Bkp?g;D;4Q`$ao
zirB;RCBKYg`F%D<E;&`V&))FhXs>J^@LLN_{zbQ^N3=SdenRiZqvT%Wvz<j~ka0`c
ztG}eh419lLxgh0bzh7HMw`RNPTD(Vt$JmrwCi_&7?oLQWl+VL#&pEfuR&~$Aov44P
zXG2}4n2;ek6U+O2?v7~VO4~6tpYdY#qlB<w&FkW;Ir1CA!3AFXVTM!D&)YXhDU+9w
zYyNcb2HH)U(Ku^A`gd~grcj@B>AEI6C1o0xA%i7FH}zV5Y^#b)^#te&CcQN9n^SL`
zvJ$Ru>=C$U$H*=|B%0%atK)A6TdqsfQ+GB$3GP}5e1RsHPu{)m<w9}9PcYR6iFv}D
zyl+#@MT~1%Ar1|f`zj)pi5RQ(6vBC;b%p(Ha^ZRUr;3Ham{~Az?2~3kJolt;Cu&!=
z^Nj8$CO~Dy1(Jd19B};tj-r3Ei7Dg2oU2)*TjTo+4Z6xs@{ev7d{Qk4Qz?L=FKX?Y
zk+9u#vn?vKZSLkz!$NIXX0}DIkACm*%<sG{Wa<2Y-}P>cKhqThoPbEPFJb!nq4*Kk
z&o06qFN4O^ay3>@p5?o;i@J{^%^i}L`iVS)@yB(y&&b+~(#Ed_IBiE8UHl>fmu!A`
z@t);uK8&ha7bHO)5p7ti>q_)Z6bJI%TNkDEyZLow;j>rev9G1%1;T9^wi_q6Yk5-(
z{OBQO*G{Coi<iUv)KZ~n-Lc#S6${J0g`ffCA^p9k-P55cq&0QsYd=yCaks0%nlxdl
zdp%Yyn*K8XdLG0(Zb<1>qQxkUmJzsDt$BB?<do%I8AYoSx!LcZwZ#woO<y(Qiz7^$
zL>M+Te@-TRgHI(S)BXIEI?2Hv^M5h*)lpG(-`_I~ozg=KA_xi&(hZ7qNlOkO-QA6J
zh$!8SbT<qw(%mqGbhqR?==1%pcddK>V1_w&pWWx2&)xe?D$Dks1JZ7vRlwcnk~$|`
z{o0$}8cyRMUNZ64EM+B}<U@^4=lQ;d?B4EvhF|w(xQ!tyP8wQ~=el@jhcx*WtBzyd
z-zTPommW^7LKV!X?;u&;6z^Asm|WY4Dy&jPw9v8zMJ;rSU{N1zrUQhj@CP0&+tT^8
z4!X7sza&_)%KUhkDOK0M=M=e#rKD%!lhb<0s^P{MpX!n>vU6NTIN1*5{r*XMS%z4#
zdt@;WLb~?aCqfwGabE4A*hc#nHUscaQX2CaIQkcyvuoe?xmObpTi5*R#$D^L(``nC
ztQgg9rN97Upfv2Iza)MET?YDUH=HO|@>VV71rw4gwr&Lz6PMT3N~mV57WCeCFU!&u
zeSiA>{*|{5QHnpusy!f8CH<D)h*jk+rL#X<$eKttSy}f5&qh|4s1I&E@~<EI_cFu6
zZL_=^34TN*&Tm}O|877ui1adDKV9XRPUe5B3LeWrA9PeS1!q9*hz{SKY?>b99&y=%
zkMv+TWRxDoEGA!f=*zhwPh!_!YTcuq{(7*4n}CN$9MId;h7AN_+E8yfK0T<`dh&i+
z_J&Cgbbk2a1z9~rtG-wo3@U9^(_tH0W}7}!>L@ewFpU`BGLWsTWf<6W)h6*e$3*xx
zHGSkIEC^=1Q=pIE<{a0|xvrnmFP}TMGgV(n`pWmoCev*CH}i&w2C^>tl@zu8IxZ!Y
z<)8ZUDg*EiJZ7SOnpejxdrpr9uG;aIz}KS^O_;&BEKxRd6HlnPiqCR?{W40%#O&yv
zA=O(@vcK8yM~fs^_3m0|cqxx`b(%hX_6Jc#_~LHJrKdDZ3_irKjxDejq0bqwZ4dJ(
z_oul(8l){!n<Ucl{^NHkpHy8eMDRh==*zOn%|+hNlDbymt%gmmxZNo=)fe4ItzK9Q
zKv391SQwHzQ?Xv5_->bSrQW76k41@{j>7ZWyF0)y>N3@n3eC-3pZq65YXu}m24yW_
zmlSVuOw()U5XUIhkv;ck^UEG30}p`r0tZafoDYQB)5@9wn`Q#T%4vv(pFUbIOE}Ze
zG%bF+A@4Yfkf;NG-M3*z6z)0qYrp>~Jka$}y50y`(a3jPp?WB>X&Jb`i9hWk)Z;Nh
zu+U>~uoAJY8gzA;l&y}~IiD(;eM<`G845+Cc7<w5Eqic;{~0&QcOOp|w~JBJ&gDF%
zn)vY|29?x>rsN7=5i?^nne){HDHi_?s;bFI0{uP>RJTZYEbcJ&31_(9N<y8dFmhV?
zd6AVHi!GKo&nx68r27QW{ElzBVY9Hr{QW~*-hKc~2mE?D5^PrwEP!>L3SzCb+`LU%
zOK)!;+~@yACDyTW+?&daA)~HWR0`e{g#tH{#QmE5<Pr{LX~l_zNi_nc8c}U2j))kn
zk8tN}k?Themb1GPv@x600h=Hn)V%pz)YITyedBl6$a6k~go=$-3*sHWS$LE6xb`dG
zGN~G%v?)$sXJuu%zIz9%ZbeOmq|~mZRNKOUzngDQNQCa|YpXNcsT8#-&8k{<&1)^q
zGAc&1v*@HB?mu6x?qt2+)u=0ts;oq6J<DBrrG14_q^9aHE_Zk)c=GeUYi*8|`nW!L
zw<C$OX{IvQFD%SoDPy_mQ0;Vxf6{VJWmx956;q@*@#oLD`RPK<L=@S11ur_LO5_&2
zZ%)SQmY3R9)t$Cfw6>PpzBD*QLpy`qbzSw@UpJR0?$2v=$3!C$5xt1ww}vpLKmxrk
zS)LQ(^D6uM+l&OW{1FvY)v(r~@#Ik;`6{@Z5O)oy*(052ZFsQUKiyTDXFxt60XC~@
zz5C(iom|ewZbe}k>zS5;Su^#yaJs?krdh;wOXcQknZEPIXRoO~qnW^W8y7WBR)mJ&
zOeU?Hjy82GF9myjy~bg-J%=au@2*UUZnYr(rUr`-&9Oc{nm%~`P9?j_57y(+$)1*1
zHrl&FD$vElcQwT>DAJ<zS?H}~Uk>V?nM#as4YS*T=+mo|N*-9}E87`oEKfI3sXZ)p
zmd(b+KP6MXe}b$ZO?RZFC5e{49Jnw#F)?w`Y4iH&kO`g`nPav;=-VpSNEe~aiB)H_
zju*+%3cEnco?|@T6!a`3-*<fPYg8H9)FFzuKfa=kta%+EcB@E_(drasX^l-j%&fzu
zf@*E?2K|Vl3E2!aFNfEgO&r_%^`~V*FiuI;UX;c6UArB~Qf(Q4ttk*+w!@jy)``MP
zcfP&C<9P#-Yx|3%mylzg9(`l>C^_>gO2U_G5B3}z#NcRsQ?2@a)28C1&pNp(QZx5G
zJ>n0VhrcQxTr4A&oq5kjygxfR9niunKlN>J=BIMKdY;@kmGoSu_Ux`#Sct0Hd~(Qs
zdXhyq%E&0@sw*_0PA&mry9vVctZq|M)H}2v7NjZ2W0?MPHhw*(Agt4yY-3&Yk~u7=
zYoMgiEXsO$Nu}A&(2J`43?6V(;JPs1R@g^zvL3tJ+#Vo9E*{NVhH!~F-SckeJ4uN0
zl~!ANN=iyDqwlkq)ueN8^sQoBE?HNaPsQJOUAOMkOxJ!FzS-*mmbJB(=m}U4m6Z<t
zUJ0H)IqJ07p06t}Y!)D=;jOH`pR>Tbr%yhf>mZF*e!pHy`2DlWHzmZ1FMEFj6Z%eQ
zAHNX~cwF2)PC%4KdbXh8`jLS_ZQ!_PZ7i_;NC0p8T*ZMsDs@lkxITZ?PQ80gv!PV2
zv?#Q<=0qSjDS7ReQ%zVe;`&f(G3S<cyup!{k!G)xt39n+YOy1rz<*rtb^~(~Y%5uF
zgEzid=ASsNuH65=YhJBZ+hWZ-<ofMeH?MkcdhW2ldVFrirYz<Sbw1|wWLS>W$px}v
z>JGzPrXk@CfkE!aQK_5xLoFuaC+w<U<q9*+_>9#}(WnRly+&)D>PeTmhVi(+*{8&x
zERzzP&XjaJMZ{Nlt#wVfrR7(PqcDhmvm@b3>nbgxD#@(n8lt%`Z#0{$#(%JWuzXzJ
z=T5kmI0=_Hr7G=w_nfan8=LTsO&c^I>1Es@3;v#MGZH4_r=OwDuPHblcsY+Wfv;Iu
zMPx3~YK2pd!~-~0JDFzl-w^`ijeJi~-+Mr6CgL&1Di;>N;-?_I*>{7-!yXJ$F!}p6
zBe<Nf3$v`=L?dNG-X3wtZvDbz<D0R{8Rq;DfFE4e5%>%oj-gWlSi?vOr>|>T({$?Q
z>4(VskQ%;ik%w(L(?A0kg}?q>Llzf%z+_;CZSG&uAVnJr6swzfOSc4<sw4#&8k>pF
z*$K4|Xsq)UEjkk*j&5=1jJm7M#`DZdXi&WCO-Hl7UC|;IkBfL~70s@rS??J)-EUQx
zeXwOwTR>UM0TxK1hX%Qd?w}XK)V9J1xY81!k&>`~3Mfc^MKpml641_s{2JF>0D@0w
zSw&(ix`<*;NjC_mLfWAlIc(o6`{)q_)pg-{GGPu!vrUyNcXnag^TYxpFJM;LQ#Klk
zVz|b__^DDb;OA&208?Sb0<@h=IIA!3u04P47aO$_P0pp$=IQ+nBg5XP7REBvef%y;
zFo~bSGer`=Ec6NSjHgJtL|OQzVIp0ugZLvKst&}STFXqwF@MsMXs_D!wp4CgindGA
zrdePZYz#~Aj$O<Ck#nzn{pD$H3lhSSYif^_>O?bI%{#4zS{dzDV=<@A$S>vV*nX8>
zEvdV6Y7?p-cAz!rJ(><UPt(yR#k3@=+Yi?<wa@JMEKce?$7ax@%KO<ZnGWA1M9KEJ
z`=-Ty*=y6=o7?Mgb3ria|3BT{+dQ#~eu{3TgsozjLiF&g*NfDkL-ADydWZi=?)qE+
z_fPjGN6tHk1=g3V$5$tk^hn0y%<ti<(vekVyL$|H2^;*he7F-LArF|$52&O0@SW()
z9fkpHRg7{fN02MK{t%|a-U6nrHJTH|HC=S^-4m<<=I$)T3#^e~EjCw>_NA@C!vce%
z9x5XwfYX9~Al&czwe7BN9l?z`E1I<EwC_Ah)xtCf>^2f+d<rkh690s0EPg2;_*LVe
zm*m2hs0*<xhBQy7NZ{9jKA}~?F1zJe9Fp+Lv=KNuN=h5s{S)d{c|=C^Y&`7Shqs@H
zAr<T|vhwJ^Diuo2WYISh>1Z;>Vwq>RciG0|xIdhq2L@-0GJdyujxHN-3Yk&&z#y5I
zR+~wdB;g1!FyRBTyU_p<BR~lhh&kp7_ycxzp*r22C_@E{n^>u7#C+k}Aw8M1VX1e;
zGYx~EX`1K>j`mju?kEeq0a4jk8{Bxe@Yb6XtJuGJ^jmqRjzG#6$QzrpBnUj54%5-W
zhi~7%d(DiDD1uTvd&o?%y-)fWwNRWd1#F^}FnjGt_Nl|I7cj9(kuG~PaFK_Cul^{i
z`W^p>@~@k7{e8kSfo5<j*6UYCQ%;2Gjq31Kmn@`Pe@R>M(r{tBD6%*0H4?wtv7|Sz
z(*+^qP|{W&=tOKQI3SGFZ03tKq^Z0SriJ>heH%sw-=}(Fz~wiG%;7(Wy7W}>b?0|}
z2kzQ0VQNRarpCIdF}^di_+|31;e}>mKe1kWdY{dj9KI7csBqlAh|Q=hsPUEJt6=Xc
zVwXie@0O>c^S_ohdWKQKF28EzUvHJQ-}oB(_D2R85kbIwUsSfdQWKO++eRj5?`NxH
zhq28>Z$~qqlZdvZ0<zr2&%F?J69zidTHVyotYWK$x~XVQwrLWFw~+a#aW<ev{GH?(
znpi&&78yrD`E=U>^P`S;P<QHA+w-jH%f9#^x;5(f9aaRfdyfme=n<e_pq@E=`6M-x
z^Mo)$$^ISV%{B)XDXU|?T=K=UlJnv0(XDZlRHvzU8n3g_8g}D>7iN~0%~BR#l;w!k
z0nMQ5-U==P)#SRxU%o-4s0>N((-_!n#h6&jcpx=yOXM+b2iTe<JLMCUx(PKO&eC)&
z1h@a8Er0#(JG6rn@T=!NcDRtng+l=a+BLY~mbresIHU&q1#*6@f5#$9`Kha-iLVPs
zA+rkQ#3@_=$gjtpb%ywybAH`rHUmzJ#wFe~RWyzf5~W{O$rv8<u_Z2z-nsVo<VPdn
zaM@-)gpxYzroL3$dxa?ETmvZ9QuiT(G_U#RxjN+$Fq<;Cnb&SkZii>|`R8GV<WUjx
zcQ*5R9ji9;q0sVAkloK+9fMBHLjGx|`Uk89w1J^ITK_Ltjc?(p5g362uL^};90?)G
zc6Vtn&V^QNKo_=8S&xv2h=~_J>goC9Deb5Xp9&@NIWgnl;M^aO51+~#)p>}eZW{P2
zKY+aXh%iaX2^Ss$DM<2bmuCSe%YI7GjeM(1DlhaiH{+JVZzO(oe>h(>&jlGsu7>GA
z4o%>%0A3Bm9ZRU2-bcSgjd&fnd}xkJgUBgNwdU!iq!XRE{JpWV4*e|FkmIRQzvCA~
zk?T9@29@RJqvr$hIcB(i*SMg025*;M>|mds$dWL`M$1jhH}h%57OI=rTMm7S9)Ls-
zm!CV*6`1VCw(#A#AMXrAX|&=z30#!5w1MgYdi}-~6k1askNpvN!_nr!gX5oOb8>6w
zNMAhsE|cls;2i+c+CO2*Zs;PmRZ*@S7<;rn9~0m*L){ElIzC&!BH_O~pVn(rw7Aoe
zO_@K3r6(mNZ3v!EC~sFXA247B8H&+EMaUIaHK?A@4FqNGiq6+Q9}K;ws5SgLm#cq~
z3_1LusK+)xIuG4Qii#xbQ3&>P!GpAi6ti43B*@0iLk#wjZ5e00a>BkQVkWG79M-Z4
zJ|Cs%`>t-1kZ)XG7R5j(9g@PB%JHe~bcn*~+ZwFWh@ZOQ&xQ-N{P~V!33}4rBpF^v
z>gpsDdPkbbHuheGp`Be|C+_YT5h}u({$A_8h!s+&R7ex4exMc}yTyku6BnvlX`-9R
zOTs{IP=McH>K3C(mjN5zRe(+-Sz{S7*_y2z+WUptkgmuzS`n`klLb^4Qjv4~(EW{Z
zUp*5W3A@KK**|`;rs9FV(n>QT_h)PxEAH(vmkniHnvR6C>(FIMCS5z~rVg_59H(te
zHbC1E5F(RSR0%51qt0ZTdnMeCoG!lQ&xj@I<tK73lA$lO-R?8xUzY^<nf_6Y-r|oS
zd%5QK_k<@nRx6B8`SW58mrxc$FeYuS7;ol4ifWOnF;h~bmCvb<=2-gRP1UCs8REbq
zzZG~2-l?9S#j^Qnd9`*E0kaK~lb~yMu}Lmh?iknEJC=evUvAj^H)elSLL!tFJ}jhj
z(K30xJ)$!C$5Yli+f9)I{t4@?>?rarrd&F{S2?Z!aT0wo2tkv{?8&9nxxNBQE2Lh5
zv3CLJiR(&MfM%W9xq@;bmX%H}p;VG#z*Ao9a5u??MqunT65!GfeA4#Qy=3XrTLzwG
zG_Pk1=W>ME+!P3CB+0wqPoQtMltm&j0zcS_M5Fb9UWy8W1hA?cw*FA{>!?4<uzcQ(
z2S=q}_#!)+T19MkAnt#%b$o}|NI9_SPr{C3I#^FQh2T-Y1_+n;%fR>(0`<1F<u4R%
zmMf$6O`a(tAN0ZQQuiQf8cuvqk9xA6q#MS5xkD|z0iQ7{p1Z+K3z{&m%r<3{YRFuF
zzH*T8z4reIPBhK#0T}w)yqo0DNDta_KtOOedq@!W6qptv6igzjehB8T9sbgs^z1*W
zy$$}Eizrw?7+m+n6ni50Gw?;lZ;4dOQ*))Y8~JJ(t-Va7!{397e<%_C)85ywiPl$E
z>>D01D;%m)oMw!HQlc=LjW$7OfFkI0KprGrnD~EK0C}@|2iA!@l8HjaKLi8rd7b$a
z3=UKJVtZ)t+B?{t|M8wtnHYs2E*Nd_Gpu7F;^iYjf|2vrqNg#&1SB}-r`|W;afa$t
z|Hry&1;oau4`>s(<~u!S=26d*ez=}c_p}VxIOGz*6Dx`n5JdBKFaL>!q*XrgfH2k$
zE}FG@cBgR$x+DK`?!36@Ed`g`jCKf0vrk(c@rEi;7$``{yj+u3-|)6`AR0o5dD*cL
z0OLhTz{ci~TMc*MNqbbIGstQ$=#I@UGD);eO%YD{)g=3`dwTRx0K^*euou0#4Ou7}
z;{vmgx)~R;Tq-=$$7Yx+;Enfbh_B$9cWX97-ggWw(;TBq59tT3CMG4aYCg1s{FQZ+
z@FMn)0xP_wV7hW++=3ScH~Le-g;vJGc&BN|PN-YEqI&c1G5R?MKBB$~n0cMCYJ1ev
z5vesNsPu?Yc4xVMnSr@4j#Du0XR|&|_vkYpFFtVupYkEpUnTSf9NJJ`VeP5I6yeh_
zJ49jZuar@*9TRrb0)J6u7$XIUrenmg4+`liPm-T4XRHr7^HrtQA9EouagK{pAr}YD
zaf#hE@@MYZDy~IbLZThF94i?%fHpITMZf5i3&jKG;Knsb>=F44=Jlcg#q<BE6k1;{
zi~_CI7vGw3ZtOY!TYXUIOnwcFEU<Tz*cq!z*PmZExF<9t8i|wg1yB{oo!3>N^E}-#
zBU>1{`m{`DxyyrwPF=LmJ%LzZnN<x<``f75-=RmOc7*U6(?i>ebfAnx&G9xx|7MJk
z1Q;O+pb+W>$^mNLIG<4I>w|l$D{=%l=8HN4@D~WxNb#bndZ@eOnr@5rdibkSjx0MI
z8Q8HLHMnQe2@RmuZ#JF(HyogW#1&WzWcT$>_+)-FZ>I*b0VOv=Wqn1Rn`5edblVQ-
zDE|Gk`;!WT5k^CX-<+=V0F2@PIUd1~(kHH7&Vb?B+?Px!2Pi|sa4^2>-vg{CFN9Ig
zL}YJuNK?#3mYV;A@di?hsbe-bfzV<LtdJO%4y#~=&dY`{AgtZ_<|FjxfJ^bOcrz*3
z$sB12ec~C8oJGY1{u>biHK}MqS!xG=aAs$aaWLV<d3I2W8r9{B!>#|-JJo3Z3}jt(
zGhAWykLC;816JQ8<>LBX0KceJfW^FI%HLcL!Irl!oqcwC?7rjgE^q)#9q3IIe&1n2
zyx`N_+U9R(9s9WO2VlRSQNovhU_W#Zo+bug>aftZUH>J&(6;1oDcAq$p)(;uCea{j
zI(!1!pUb|TNb_g_8^C*BFd@9=ix;z*2T3`pts7(SU#yJi7D|1ruaGZ@8F%6-#?*g;
z$n1@g@w*hz5{gst0U*|x4;N3MJV!RrrwpIont;vw=R|a>Se{8)P0yWl$VdGPL?fM{
z@7w<%DI$r9Ob3|zhR|#LODCQLQa>6-tYw2x;ZpQx573cNIgs!T5PmBkwaqAp<-U9U
z);gV|Hv-{R{<$2%l(9|`yebOv0@OupqnD><-~T7w#K)6aA1yA1$#k=RMvxO?7gd(A
z*RwOu$gfe|%FR@19=~>BtdH%Vyxn=s30_d70r6s?Rw&v_3qyYY#`k~f$c~5x*Sgj1
zLR4@u7>Ykx;#w^w;&<tlzqdpd^(_A^i!|uG1|C%IDmdE9{$*?+b%Yv>{)kzGH{nRF
z>C08qe`Ae2Lm1s|+Zgu?#Y<k<R|_U=OSD3*;O44W!~4a!agdV&Ael{S(cJfUZHoEj
z@c#czGNB<D>BcwA*O~3okeY|U=MnMzc)34Ch|g<yrXR@(!QNphE3e_XAtA|PBnDtO
zlG7k81}5R`@k;!Ybx&aUml^xNWbCzzDdap?_Z!Qw7;r!JaATMHZ?M4P(2epkJrFmN
za67%40|aAGfIy$n^Y#no!_ImFxvNl)x1cQmf;vMw18kNv_k{kNs~`qS8jX*7q83vP
z;T3Xe*-(|$|5*3w@fa-HuMBhvB1Agh1oh!z=g*!<HR9qFm;d(`7vhbcj0<3xpRpqA
zmN@-=>3`BY(?BpCNdO>#OBs0#_rjSW7_(-FV7Wf)UHk9t2(!=>bd>}*+ttt`Z0Sd|
zF~Y%w4kX|w@)#J<!eqQ$xCp}C_NnOBQ{T$^&$j_L*JtC><Pm6NThCUUKJI_ML!oAT
z<C2$r7a9H>Hu%BkAKfj)DA)9wtB3v=!x=zzf?_9p1RU^ldjQdy(@~g!Etc($x!LXB
zvVdBw%?&~ZfoXkg>I=N(ya$nrC<ibd93mj)$K|>YdO|)H%GxDfhf5Z<zvspK5iRui
zt-K|6J>@-+P#hx}>hfu)N5{rrcd&zNS~2VK2pQh~6NF@@JyAKHB9OzE6<{uUh}dX3
zHP?J?gt>XR54)G^LgU}UMEQ(w%c<+d_I_SrWdVm(OP$r&?p>?ZBjns2mEBl?=p)<F
z_%J6YceIN1;qQi+)sQG|QDoBmpC2ZO#Zp(+Ubh(zQp~66wRe2};~WxhAXZ-+vJRz0
zGX>n^q@)DgUx=-fUqDklDMqBoec!-)VdRMV)B+hC(OejRdF1%+EL4Pd<Gzf#pqswa
zi<F{D^e0um?FBgcD#k7e&%u`2*Bq|~H$^Tf1na;QQIX&1=tI7p-N)Abza#=Qi&XEX
zqLu5>Jfx#1juM^SXi`)&)K|7Is|_f&KESCx*E81efGVwnwciXaF|=9}v)M3B^<+ur
z#7p(@a`Um8L4F8K-QI;hEFb|b?grAg)Yu=L_*Zw{3Sk79*vh%0iVzh4PU%ZwN1`*N
zJd+ImY5w`L;_bd|2DKxLYcg%4Y&J0hFzifa{Fe7IZoPHy@i{E@a_X8L{t%Oi4-Q*3
z@3o^ry8HI_fpvAO|C@x0n|p3B^?HN*+30eMg;?u;t)wMXbn7hwT}cDD{}k_dp7<&?
zlkAGrmJfnnk94HR){GpxZpChkv)}9aFMe$0z5?T#b1<}PKHGW=!)#7NZ|41k6i-a_
zWR~Vk5?a$!gk_O`RNbM2mgXE1@#52wP}8gmLa{T^*bIB#;S1P&Q(9Vr>xQff6U(Ba
zGR0O~<n-{<<dW{ZFyt&2Eo`A!*tiSnc29E9qh+An>;&hxVEK`<4SCvtma}TooWiW|
z7-rR!p?{ntAB<q%Vg0qk3Vt_!&*mz+f%h~Ffue#C#t~~C2#to(Wee6V`qunVgSc<M
z-*gE}8DKMZ>0?E7&B|c{r3Sy>rf=D}Gk8iV!uY~p&=~7T0<O{2#;@IJIm|+pID-yB
zIwfPRt1YS7kIqKpi8gldYnATMx$);XPqY=ik>l%9gOeg^$iMSFgx*V{>I-H3ft?~=
zRb+JF$onTlJeVN93hkDGVzM7W28JX1nO>sJt~(*IC)Y$bSyqTjKB0>jQPc(03)w3p
zn4gl+Ube#sA;mr37X}r$7!v)pHejOABA~Q{`SEIz;x&H!&o^{2I$c1CcwXI8WVnR1
zg9W|j6)|2J?P>$4$A$`W6scip5&SBwn`3d!=L1mu=tj`iF2kD=Q4BLi%oOeYE>Ekd
z6*F(^Avl5^`aYv{BFc`<mP%Y$x;B?)Bl39L&s|R$tM%i71NspmTs$J9-e2XH-)GpY
zU!x&p=*uQ>^Xv7;W@O3~74AM(b!gYm_4@wwPW0Y(hf>&<9VyhFWBrEQ*u#4J=S0sa
z*iMMY4njBL9kIA<)rSBYvaY1HZSS~nld~(^qx3kqVA_H<!fms38e2|S|K?m@_#Ghv
z?^+s&$9$_OS#5^Wby}id#N3nD;guIY+ov)e8_9XG#hyrJ6#lWkC|vF_m^Wesd%N6+
zY>AsZL{*<xQ|EmX5;I%Osd1+w!gc4cUf=@QI>WaZec1)e+`{b5Mx+n(b;`CvBE9&}
ze58Cl+JDq}JISfj>y^-YB?OK8cGI5cBkG+8gANU?b$dVxpm>9>ak&KUrfd<)wQUd2
zB)c$3S~mIBo1WyF9%_EnXAJ7VXaEfZmB*VSpe_AT6ctuPaOt7gl^5IvY%_W<GB72G
z6M;!dxaS~fOLUZ1LV+d_hVNwpz<W-0%3({!fTqeK9z0L+j6u&I-}2#!sh+`b15!Px
zp4efKsGPKif9hG=G-TdEMuLlLsCsP>^`Lg2N|wVH>#gO!GveKadxp+y&oT5{9CoZD
z3wX-ye@m_Mrb0?2%0PVAWD$Nz*C5t+E5v@x5pa%rDs1kp6^<7R9q79FPm#(HTKdKR
z?fa2m$0KQP13F)P79!yRs6504Y4W~^oN@<5X%^XHh7_U8FQwW)%W?O24wOomKKIh?
zY@T|Mi8$Kz7~08s6Hx|TI!Oz3>zvO=z(f^LxBz+}YfRqzPf#7DMRm4KCqi433~ves
z0hk|*l+AzJf!0gDCnQbCX09<B(qUW)^Dr8#4aazX#1b)m_`I4#bhtZYunkZu&F3t*
z!Qztcsq-#fc9<oei)8);HzIB;y3J3;X5CuKMt(!l_fK{LP6~NJJZ$N&L*EnKA{6D#
z_$6vnlSy7n){BGh>JS-zA!3F%yuDRqg*p7;g^pP0LOudmwkK-3V7wq{B{9cWKJMU{
znysq6mR3~FM?0ge)cb-`J#+O%+0X~w$W1;fatVo5opWOa-kz82gu0nE^}AIQaqr&j
z9fsFp2Pq#tAiyHmE400(blM35vvF-Q>>Hl^2VzPnOA4ke2iL_t=*@;~O9hdBUMS!X
zf9N6@Egy2c`i_l;(Pv_?8du4$Ke<~sR3EE@Y5&xTJZHeQd56}!OL8Xe=kls2_r@bZ
zWJstCPzO->-TC5Qs&bpb;KzzaIWh?+8a<)cU`Dcu3eDQlE{M*M5mZsWk?>_uT3xX&
z&Mj{(+J8()8}SbB3@*f>h7xm8H$$(lUzUlkZDkYhAV)4mY~CVkWM|8#o(SM%d=o+$
z#QRVzu{&H{B&7P|_z(ACLu=#9;at!s_Rt1ixfYsW&hew<Y^#q8#znRzuXJuFTdc?!
z!~%}LqMZKldDA~%u20spL_mP(LCE0QKEo9yBUJa8o%XOLju1~jspPM7{A9SMB)hP_
z>-W%!{wp1D3A{uA<eNAbX^pK}w}L;+33uH3X$RoD)ETZG;-U%R35f3|;{BVp?!fSM
z06CgG$`iCnuxslzxO5>=V$GQ%|Hrl*;!bqOF?x?|Qlw;Fs<!hQKgF3wKrjUpZJ&3`
zD*TU5^a;^p^m3*-#9q|ica13_cY5JVccM(W)R{R&>VjjgSEUzkZtFO4XSrQgw*2gV
z*#)2{yG-#6H(x97Gi5SsL;SMI1INu}rBQ;07nGtls=~<j<dQA|;4WPLTKv{Ya)v5S
za+ov$t(r}Z!Lge&aBqlZnyWQBR7yJ#<M;?Cg7KIUCPfyJPKpS%GWN}mL466}rg^rH
zM3+_PJ{{<d0T5sgx1&AfzsXWdo*|E5Hn(Ot19CI=-lbV1-pR<UjWId&iFvp_+1C?N
zl`BKs%WglC?x%=MuJ@G_ynm6Ue5j_7f2vM2!bjm4e@u@h45|(a!3vnS-WMZ2_Tq2{
zbqUW>T|6c~g5NX-!Y%GHEB({+ox*~1-c_S3DAZ|z1oulL#ju2O_7i@zpgd5{pUmAh
zvAiB!sUMy@u`s*1v9r;`ovovRyvgyViMYA}mZTCz*Zh`^kT3&<o-R><!DI10Lw(0C
zoj<4lvVbbJ=7S;f@9qR}&j_EIT^&7zUmbZt|H>HIy<cAlT93n}MZ$nDslnSfl9cR!
zr+xuFqtE!+vsi+v8Z89@eo=!9rdHv#-Pdb{-P`xCSzep=KausX#e_pj8kAn%PZs~W
zPw-qQG{4SMo;+iC<6~6Go#`Z#XC$bY8O&So&BOY$GUkCFxrq$2%iy>`+yUofE+Ptm
zFD`4hNWDCN<r|PzNW4b5Ph`>i;e{XpRU6iOCO{I)=SFBZ#e<hosqWz6fvK$L^f7(2
zaqOSRrs63o-3<@N3aM#8;~B9JvtlSjKs$Bh_>8Qeq8<u;?JNdz!olGMaAcM)CpV$Z
z0_O&KthS3GLH3&@Q)_Kej8&uqtdOjNr`G6|xC3MP-aaavUU}PTxi_-I7l@wXcYIn1
ztj9Qmpu)6U+Krzotjt&M%DM3H)uOHFWVl`34)^q3{mgioFS{g~gvXk{fA6Z=;ZWb`
zgBg@#TQxWPmiLx2Tj*^5)GsZ@O#zTLe0-}~zuLIDLLzbz9Z`eBdc;3cXH|6h<ix|O
zVV%8~!mh#N=KWmUirU#*w5yn$?0nN1-y2`t-aCmSQWZBu0d6tm`aJG(#snc~ER3%_
zrh{o#{Yc)}{xU~OKwVvV_=?HHL4Pv3XlGwNm)%lT(R}(+Qll!i=JscjoL*OUSglg6
zAiH;rC{h)KKBhe3Lmc!5fa*(z?3_>EmkIPFfRbF~u2b>B9vfSaUDVDvpD#j%U=aH9
z3kHj?(J1;SW`+&?9JP9;S7;)p9nrcC=P7t|u8kio{N^a5>o?peSclHZ4j$Ak{Is4;
z7uf+jYeaHwNUv)-VIK7vmNExQ*W^4yhs#mn${)2A&kYvvc7tQ@{RGY9XdGJ8B|>Bf
zAxN%7^{=z<sP5fZ+q+wpPQ7tmzc}&*6_~@HE`-g5+cvl=8+rk6Q6<IZ>bgA=4lVkh
zr}N4Ks5^fv$=8(h+$H;C3DjBqL3Tx3vF7f-00R~xZX^o3e*XXm-f%({;BOX!*SLI2
zL+7WGs)<>94_1-VB@k@QiItKC#QK)w9pJtK_4vfp6v4BK^}bm!B?HbD^y~IJVtvl7
zf}+Ukok^;8fH&aiNrCpWOA{rh{(<rxe}k5<QNPB#sAtq^HPHJeX}JQ+dth(gT?Mtb
z3IuH1D44h#@@^xZ!j-7{@#Av#KvXw!TgQw73s-e{!pIWY#Oa|%8ZtV(s5Z?a2zi^v
zpPgnF)Bg9GH2f``MO*vFx1e?z+wT5alp!Qz(5{``50rZ7rZ>!j1yLRyil!}KiNPvT
zk6!2R2skp1^0x3Z^u@Zpl7c%e{1`Qyxh*~WU5^rlD01Il1Cxa^vjP%#Z@QA}CmY9a
zEs9R>ihKjizyb&*ge*_T$;fQF^000mtkqApIn~Pox#3~8MluznrCn|}DZqQu_#9Vm
zd-bh(0(G)OGdM@Jrl^=E0zMFaf!%qe>f^fcGv=9%#W+T22+?4Tx-ah&FqS8>GgZPw
zSfGjioR8726Ii*`B%;CNWHy*STF6AHL(^lLwP|n66t_xBg)*c<Ay&5~nf^pVO4!0(
z&cvMs=F0rbo#39rkC(b1SdYL;8SV*pLax&D6Vo`4_LPMu2Fq0i@l1B~r);SYqQ920
z-F_d@<_y^W_%cx8jdIE1{JtXd1y)20dIGYF;odW@y$e0|Kf9!b7legdss?+Q@K~~1
zbL82!vLq?v9e!B3(tOK<;jNJ}Fd6Z8FKh&~Um7aS+!-qSN@}FcMx@f?>(?>gj1Dk!
z@y$>(QfDkzbz5RzK*K#C=j$&hmkmuK#B;gBufCehMx#HS@Y~(7)cr(8NQy`LK3>Gi
zw<*f}=UzR^AEw4<CSeZjmXox+OXKA5T?7qP=4%qR=EGlh*xB-sW{4&I-EjK7fP(j5
zt*q&~FP1zG1r1A5(O*&W+OHSXrbQzvLgU!wnI>STV5ofIug9`(IJK+SqtD|QlSinT
z*oo3d+&wIP8*N*AmW1Cqpzpk=hYaX(NX_@_x3HkW8>%G(92{l#Po-nCISaPJJu3RV
z)ZmDIRc>;NJd_@9`xnZL>)<@1EuqjtQjJb*ZK|LpnBpr^{k^Zxc<h?Q^T;TBCaRDO
zH&<K3FMz1f!Ni^kFOI}8IhVLWgKIu)A7Btw&$o)%w7n;J5vbw@1!1TzRf*lj*NL}Q
z@4p@}K-&AkrB&9yCGnt;xba9f8^mzwCcDBhVY&_j^A4cS?5UDZWPop=wa670{qmJO
z)0=mN;Dzy-=U{8|LA#SZWz4(^4(gBNp0YVv>ZV-H(QIv~J!|*-bpQ`^MACyg>0`Ri
z``AE%uZ9OvS?^|l!MIwkB=1H)V(qc?GdjR%P5TMUC`Ei4?I-1x*MM<JUzbG(*pK0*
zhcRuBTN>Bv(oJWcZ(;4<RW@#ycw&E;n9MK-H04G<>H}HruN>;a$tHkbMVXcbgG=3F
z?b*J+yVmlsrZSKo)G7S3;Ab;2L{PBPNy9-cv1FUKQw?P*4i^TY+9FK4X6*9{*6aX#
zTfFK;t1XVFn8vP7@Bs+!fIL1{+r6pg1|+~f4K|P<Z)p2I<=|d-*UMrq#6~hSSq)1T
zAkbv*8q8Ertl1EI$`RDh_`wb;uC8pbx9sQTTZd$Ev27yfBK)wV;ZcwAQE|@>b1OEU
zU~d}+z{Z=<Vuzg1GSw{JXj())#a;?Cq(oG4i-~$MM1-?z`~85xGL4a*BD~*hl%<C^
zB!nY_2#0QrQ|A&3N>|E!nqLpIz$r}-V<{HKL^MM<PwV=oe^<A>b5|BuJaAijRa~<X
zO;P9u=cWGG^ii1I>G_CFPzmPGXE@XJ%&a{#MPH{5uCeikhFz^MJ>$&S3mS#oOTPYs
z^PXNLlk{j%9B{`5>;9VJF2B%HIDrdiO-JPz^ykR*mYWBa?8J}S&_e73O7;o8S{_Yg
z#8Lz8RkD6jZNFzpA`>|PH`}0@?ZOSJFKppFIMC$5qx`aX1qlC)FsgCpjn0J1WVQ_)
z=*L1G;afK9BC|cgS5rKH&W@SLf3yp5cghcALjq(*pR6izSdz6sm=fFx<I=%eZ?2dQ
zZmJ6#LaT{$O%bJhYoBalE)je4my=o5^=%>gT+-21)EDxX3(rv3XFa!od5bqH9d-2h
zHv!mPZS8&&3Kz9pWg<=<>^xd<n^#{`eTryl8F18M3uThn;O~5w$hT4s-9c0+ns|@6
z5x&QKpPs#j#IOt?`DE`)QQ31h^^FE;=64qRzX3sA`VH5m(4t=UVZrvZ@343nNpcBg
z?L`~l*NYNUp5PsuCMpNsLF`XxrLJgGNxv-LPwrgp*wim{uQ9UoDoxH(qCkuP3~wOo
zgmcQ@dz~1*J;fH0yd(2)Fg9eOe)JZNDF`FMyV-Z*XnAvG-sVN$bNpyKfsr==LD*Tl
zstGRb)tj-WChkEm46)}Usk@leDKF=+wQ3ZEEu_nhxfgbZl_K136`4`%9GzqRnd*>(
zHY0wc!O#~LwF{ezfWFTM$Y9BR%ayE8(9uZ&GfycKvn@`DtxNjttZ-oVaokt9TGHp8
zB2+!M{%4n3hLL}Ao0j%lwND2=fts*H{ICDamJS=J36@r}Q*70kJ+HvnD+NrcPFi!X
zt<N*+X~CX>sUboAH;LaV7!nKdXym&U@C<)hcX_C1A&gxzn9#(R+o@<l3I>8*e4MjH
zTfj;=h%O7YL-aDh$8V?HtF6UjePD%V7s)0Q!v{H1xBJLseJsQ^oRAX80Kki!IDuY#
zmAyz#6C{~pPQr5IaMM=ZVqV_#hWBK$rH6HcQnXVrLjg5I9B$yd==J%g_PkZ|PRPYl
zURaTlvc$+tm>$+h>L+@r8McUsSGbZckx9z!MqKo^tilj_kvw_{nLnoqML|u^eI46I
zBqHuqN>SGNSPY9IWRTMm#tv&j<{3RyKoROF33A1ErM^V#K{UVx!?B@u|J<3Q-S_8E
zMgRunH_W`;0%o0TO}Ie}k9;$=geL-ZF_#h!PhD^PoImvG8jC%lmG65t3G8YzKa%%r
z7)w>Ef>I@xFNRy)a|d&2GYxxokvHf=Xp+bq`GCyV9aEOxx<JvXloTPsF7UK*=dTGj
z!bV@uuU!ZG<|zW#j`{g`$n$BlrP29W63WBJ9OLnW(CZR~*&ktKwLi*gjIl>RgaR(e
z`Nm$4t!QJ0Scd?w5v^g<M1F)>*+3~F)LU!AEN7bs5pI@`-?NrZr$OC;Ew(7Ov9Nil
z5+{LBP&n7is40V>XFy9+p<nft_)t1R!bBZ_r3jhG*Dm8if~b`Qdy7A2%I~HL)4p1X
z_sqyFIy6mo+qtFO2)%*eS;z~1BMdV9lj*0Bwvjolc_C|@mt4^D?G+P>8sR;~7YL+G
zUr6h;V7HfeuwPKC*iLiFgv4bUE)?s*G4QZ^)<M14Y{y-}p4bWldyqcS_@O!?{b({d
z^`K_Bz3o0KHZTf#2zdyJ0rbxA1FTsM{8$V$r|5K>Yzs7%Z-U+`t;c0!HTA4hUxiYL
zDdD6DPfv?LrEJz$P7|akWn_!YXwA)(aBZ=BFhvJbGjj9+J#C)~{_?!u^esOg419AV
zrGkwj`}})5y*#+4-O(rN%-=U9g6+Y9hd5tNaTI4EY)Pv9n=q0GARO0tpkGc<Lgu5M
zB@3jF_W-#qC$W1{3HQ^$DeMMDjj&9gG}-Pc0AZqrJy<y!H_~k+vitq0w*uQ84wR()
zF3$LO%DaR&464}H0>nnaZ08wLvUgGyy?s^D=e#L}SifwN#NO+1*NwYV4ozTMTv?P}
z+9*NJcRCBNF7Q1)lBJnJzAeqo-$ee01>mhZQ;eGL*F1d&c(+X&c}MYBfzna!Ih)Y*
z@A_5n!*+E1pWw&OsvCa+IzT$wlNZ2KGO$c1%~^6x8tq;vXS}Y@7)v2xzT6vSh2+?s
zBuooUhbd(h7W0wGxp}sY<enKu#s;u00s76yaSOh2i(QT5PZ)QkNFLC=-q?g+DQDl}
zz@0Ty_WI9aWi<O=vt6W>t)xlGJ`Y794basykckS(^9+#@d}$mv;v)zFWCR}IRiE)9
z0xn)nuN<Q50^gKp{?N?f)ukz+MZJAqNz(Vx$+)?L-l@bSUXlwL@ae_0hPK{Aw0=GN
zcl~;ewe>|t4n&T6tl_}WleRrq+KJRN_fX!mkaCVwZH#BJ_dX8U!F4{m;;S5ujiHVA
z*is#bh2Ep;%d-v<H<JQMd#^k{7_kW>bO=!cd&#gJ@n*7LA#kU?6|@rKn4HlEI24WW
zLbh<exu~|8isrLr{B?6S<NH#v_8085$KK3z@C%u28)wxaHnrzZQfUuhd?~G;761Ty
zWjt9{XZ-rr_xd?(L;*0v!PiJyTuEQ@)Ru$T3$G7hb2dPBKTSA0Ha9~t*)`9l*Tlqb
ze=p)!TDxH&t<LmQrc%@+4m>Z)nM&HJq*K3X+p>q37FQ0Yoh>Fos`19Vmtdcd4jGG1
zc!q;^ur-+G!p%)s#l`}T{(gfMo4k;hF~kdF3cGVg7+B<M9{wk|#<)XS;Oa*EPzUNE
z+dfB#tpZHHnXVon_o%BdUX3_vPha18Y_&BuYvsJF4P5FWwnR5wVX+uglv$4s0C)Xq
ze4j(5Rc$(&rVno2!5e<ejIFHrXz^pz9PSig)SH+;66ueKk$wEvU10REQh%)I?8N2q
zC9liHND&u{eVwMg%Kl3&r=3AapKOiDBDU6K2}_Ugs|5S_iVY6K!8C+boYy7<gjD++
zwp=c;PtAqGI%1wlFu$%22_br)^3qkAx2iVk_-~q-BQ@oF{>Md*2DZ8U`z7fDO1cmC
z0nJKNpp?oP=Tr*nt5Y|Vzx}-CA`zjs4fG>Zzda}cy8|VvN)Q#m4RR8BULJ2F{A7l(
z9=i_dipxhHXo}E^?N6nPC|l7op#a5AwLS6hxLF3Q;=T<A_6B~@D=omQ_>8B2yE9g^
z+mU?KLWw}qMdkviuOhYDT`~8%fo@+Pu|Of^0&CZsuw599t!io$D8HM7@loHL>5htA
zw&mQ<546!;<mxI0Uz9U21=}xN_+beB2vCu{ta5K{tdnDW{+Q}~eV+ncval->-vGp4
z_hP}cVD9#1&OB|tY>XfiB(w@QTW<5`wv-UOE3{G`L|eZQNfRi5243U!^lHItUwYv4
z`mpD=pXN+?!G7LM=A{0W79I9*YJ2f@ZCb>m`Ag;@xUyO4Mq7P+Kbr6s>3<nJ@yBc0
zzwK`%^X>K_&@Wi)bI3EAPXldv6Lecg-xlnRwD%zbO~HHn^o`8uidIP3*EfI1<0mok
zy_6nvTMjeIT4qQd<(l01GL`t)Q&Cb2;(czdfy?lnde;itD@pNtnHa$j{Oz1o>?5_F
zEA7D=q^;1GX|=_nwew=vkE1z~EZb6y_Y$kIi}2w2OWx~b-!?sRg)UWPWQy>`NT;_4
zl~B9(v(k%s2~8Wm$8WkF&lRB_K2VtDS<`EOs$^?*;kFre!p8^2tZr=qmv-+i=;6RI
zAGny+f9VKQNAsi6hh?m1OyGjknWjp8cP62z*K5)6tQspe{>R_qn|UD?eWqA4zJz`^
zzJ>P{BpQG~7#LC3^o|U+N;mugF+k3Djr26XC8+w%9cd<FeH1yy{y2#cM}rb#_&(lV
zl-7s&32+?=&(s~P2_^{B$l!*sW)HrFd%&8JdI=sM!dOZL*jvA_0vHFhK}cs<7UfZ<
z9%&Qft3pJ*-!Q6r)tW(7Q(scV4g<}b0J|dRy58UGI!FU(aXpYA#IqzlR>#?AB&m>+
z16#{rJBMOJW+;f3o`^3P5rW|c7=t`OQgAZp*R~79!5(-&Ivv;=Ww-au=$;nAys_Co
zXV`g^N8OXIgyvr@HD~*$ZAVSI(~}-Y2qBU|=;AX(-(x(#7GG5n7DY_T-FZvk!d4m0
z=KSM7NQP@S5GSalEdta708my-N)(0_+<h%ymiybklgQCPNZNbarcL1hw$BWAL?AO<
zd{;!AWY;L5^sMhYpDxhwKM*!hUs-|2T_1&Mm2(FBDJtjA?TWuA8e<_nj41w&pt27|
zj@zsj!~4cQ&Vpghl^g=#d6`$ixT?h73{nAd1KavcPhGTkLP`wCl@SlliF}lcQbw}y
zC5m=A^1zH^lgR(r+JI31`Ro1bpACF%a-XW@hy`zOKl6j)$6cOUe?EH0JGZz}7u*ZU
zdz>9bL*wg&#l=>+^6e&d$h47RdEo>OXZgV$SHi!-`a~ZP3{n}b-ZEcQd0M9sCFDWE
zvjK%WxB0xWb~+#$^ZQ*8f9q`TXZUCi)tO&0a@smejFh7muN!R7qeK*3EJ@!Qc^z*)
zmT~XqI8OZaHFQ{|C(&P7GmoMaRkai)*s6rYl{M(pE{cUM{L}}a+gXyeFV#5GD^uTG
z--J~4%qsY5{{*R5VBTgJcwm)fWnO%TN%@xtI9AfbP}sLM@0rrz$g;Py_%T7h+7MoT
zOe)f&x)N^!yAW%}T*t}@&$op-y>>L{`AbBxx_BWMc#TD}dlcQru%@-9*X5a!n`24R
zq1-(r`PvQ^+kbd^;}W_X{4X)us7QF#f7i94xc|9(19$O$7)4MqW%H0=C!|%gHSuF<
z|35k+wWkSZ=J)3TM=u@scNH7(2THeV#s9b<d^BJ3uV2vgURKJFq?Rd)HZ$C?18XbD
z!W^_7WA+)O&x;$e1n3duwPGwDEDoL^k+v0Wy`Y1YFni^dFe-_mf~Tiqzf2LE5Z&3e
zrD8U(T+*PlB0G1M?0AuaMfn&HIZ>i`7i_dn`c<NldLK)vn>}m4f0EbQRsyI!x_N!Q
z+tj$+5czrCe|1;^p*5N@vnHPVri7IaBKA-9S5IN(92|iF;9|hY#3j2Qm40mKiCwgg
z5+5m|<$yzOby-H0Wc#XidlNbj_)213o2s0&e1;~v3&myEH{0(LlhWbyvU5KVjj@^5
zMqPN7_M=DI26WiuT*|HE5%QB-FJbP9_}t=aPv}|?BB+Z2M|hldv<EtCNE(DZuV4W_
z;FBNpCNaVmtmICDLq`&jjXzX&;i6*%AO2bY95Cm;L^pPgFfUE`N2qSkAESEJrY3*{
z+#Y^`dQaAwP$)KNm^?bAp1d&&?s;^(OqIW=Eq^?RvK-tH!SZcK8Ov#}y(It1Atnrs
znZQZZKti@YmCci}d}9-peH404@s1lb4`K`o+LrQ9mG!!^OMpuHcSWhF^^o0|S$X-6
z+qs06Ax{AwkXmKdTr%T9!l)ZpLj86%Nm+#$xShEs03O(3K6Rb3z%mq$x?s?QQ-7!?
z-20orS{8{1%avFIZvaKUD_81g9;cp-H09@^lT;H{LA&#6-L4jebl@exgJaAD{b2bM
zE#fXbWcOP*w2A*vEY?dBpSH4?kbX%GcZK7@?nTDZhqc=&;6lg%pD;JXb~+v1d&Sn*
zBa1YiQ7^5rzzAo62qlj_lM!CAvfk3P&DT~YwtA9Ff2pQN=u^j0Dnzn4z}@oAC_DPz
z67>Eh`u^lhR|TzTWJMoK?_ryJIH|T`=`&X#IMwa|`f$a@nh-xwFN8@dxlhGAO~KPA
zTniFvM*$MXaE)@{jGhLA6pSO-Q0pn{kx2swNS1d{WYJowc<X46)V24_F_Whw%m=5F
z2_!PBJU0^ihhY62DL%ZmKYX-B_=4i!V3S%#-)peZkC~YGwDj*twyl0TMP~ioAyogp
zA=?aG!wmz#59{&fJ)zDqn}`m1bOgbs?m<6Ex7M}W2r-W0e!vjkTaxi>d7cY6NtX-1
zxIM^4e_z02K-2J@g(WlqRtmZ|dgY=a^V$MT9=M`Ok)&G_YTc4VnQ@nZK^cN|k5Ug?
zSA<(@m!IWCTo~0)7Pj~$`-;{>tuR;tt{B_zA5UQT(tEojl%m;h|Fpsky&o83+$>RU
zNz|v!7-m6v!B@NoYi02O4<s2|(d96@wk4h#$Fv5=-oa%giIt^8K)kz?I-D5pKE_$6
zG<3Sp8ga(dUQ*raEB86LsWgfjUV?_(&9X@yjRl`tp?d(Nug1C2tj){jISFk&3b$k{
zPHDk~3dZ1Pb^Dq8g-2(;%}igq7RIKR?imxp)k+qz3Cc=6nF++Xi*62uVk46xPu<Q!
z)7~H}koo6BF3?(g0U1m5mi~?9&xncm(MSQ>!B|KPc6F-{fC5zcep6wTEwo$eD<)P{
zqHFJd-y++JOrqq9K}RH3=(P-d<EMbyb%S6O7Blsi><2OJFK@PK%5EIsY5>xk^Pb$?
z(}Ca1e)si_+R>{@f*RVdY=l_7(QKu~+o-)glyejaE;VfcLY6DL+m0s)adqFmnCPw7
z!})P*=lJms(B?%MA8l-gz4q8)lV~=n1$ISKK1jetoKREN&dWLCL9~77WD|1}P4ehZ
zd}ZH!Fv(mJLA<=;8C%UwvG-vL0)7G9rD1SVcL?PaEtE^5&lT0t8fy70ZP(t?>-$=A
z^XH<k)<Aq>wo~P@@zPj&*}L0|1IlUTwTNMRD~u!WxKo<d10fnIzC|@@t+u5N^KAi#
zKY7bS+c(w#^V{q=#|7)l2=9m8I+yDT_oq1Pu>pphIH%u;n4`pgzO<8Btb=)>2d(MO
z2g8!<@zNi|D4J1Q%>A!VKgN&eVfiNIF=yESx&OrSiDFJp=N74Q(zxu%-~ABu*L6qu
z^gkkTSbQ-C^aHg~p|V~!Z%>WnB0tXO#oDwUz$ofPOj#5CT4=qS1oC*XPv*6G!{h(#
z*M2Nzv0QgsZvP#_(uu;J>D9cn@zW%&0o%g(X2A9L%X)#Iq@Yt<yT0cz9T=6Vs7bKG
z=od5M(y-;!ddv`oOn51RP)AcdddX!}u>XF1Yn&vCYp*!p3)o}C>>EfPzuO%_eOZFz
zf>s{%vfQ|}!q|(s9t&DRw&T*oXr(CaPi#ZwH2H%o(Xl@@0*h`bph>w2o3u{)cb`s7
zt^zZ>(MZ-oGPhwTe$9PH{`hs3_B>O6!?)Bs=XdMc|BtG-fQqX7{)cDi28-@g8fi)4
z5kWx^RJxUr?igZdr9%NhKon3Um6$<dhE@>}kY-?LiD8Crc<&5;fB*Hmp5^j^bI;jl
z_x|j2?|}q1_onqL`{*<yqMWjc6}LAlL_>jFf;&my9uv<H@3oNzBhrdPv(ojU0SwiC
z$=x7}<n&wbF7Ip6w>=J;#@8_mM{?orYmp8TfOQP6h@oh8xx%Yo?EFj@@SJuuV1aVX
z_YWh#xx&cs)^YcVDT^Scs}p=%R^3KEWjUGzl~iX0uJ&ik)eX}Kg)`gVy0=>56$asS
zzq6z@2os}iyLPK*2R?IF`^LT~Ut*MM(D6i0n%wo?^S4aEPA+9}$_)9#(b(f6W2}ak
zl?VIQ8%Ocd!*B%j(8R(Zh*4Zf3O?0tX{HLEuJTrXg1)S!-zo6+OaR9!KD)gP?-(>j
z6E$W;xHy@<vc{)x)KnitF7v{uSrNf7EZxdUQxoxP%a-_RfOf~7E-88O`?3CV>Q3v2
zg4G`=R_|3%>Z-#-iH?;F?<|Xn=<579mf-NSyer(4BmBxw_4g1qfLIXJzx>xIM&z3x
zr>Cs@GsoxG{>s7C|01;^)FF}P(F)LBREmh%o(P&|FakXd=brllA8z#V{<Z9E<NK5j
z=q*F7pVo?XttDxy0@fWih1y57HFFVbFY~O$Qb$`S-tT7c;}Z|}KxiM|oQk(HIDKhi
zB%@2#*Rj~<Cd%~v9$H~at?iZ8#Nr2<{aNP04o&<viL1#Jeq-3~M-kN(S}Ph>?a%<y
zv+S%F!6Lsh|6*uE?+dQ)J+;9MWp<#tz7}_$T|ts8%^N4fS5fu(?j2@>F%37l)HdBV
zkf=*xl+|=hwPoOZVov_NeD2Sz3KX!<JG>Uk!aFGv&>7InL{-@AoNd9O)N?OqRd7pJ
zXF15dyZBKx{M~A2SXkV#TZt*~^1{h?c192%^lrrQ%?YNpT}I)8pe4g3YMQD})Zsac
z`$p+<2tAW_zo?cx*ck2htSD4=V}`;4*Kj{U8VRYN>2uSXG(O#nlS<4*k|r?Co_VRY
zi?MjD6G{#6ltPXktT~3-t4tjvr!fON2`fV80JpaR)!n$r@syeISNHkK5pRLa{&E2l
z)sC(1;B}ypXaq88LDrT%PNKB1Eq6_M<oaAulHJ&N#Ra&;N^s-B=61x><mIp{uwXyd
zjR#w|W)M^g*}cT6#=yPA9*6bCGBok3H0#j&x4)4v8CXP{``tpOWc8Y%nbAZRHu5hU
zb59%3Lb3;1OsZf8hkepn0iJhO39a8#A8{n<r~UTk%1`ZHiUC~R6`;!YYjuraW4M_4
z&qQ(HtYOjk$ZY0wp|KOq+@#LaC|?nqU!eWMoUyhruNL=9&fUOA`)VDTV@tVS_x(S}
zgt6hwwfdU-j52snJA76#+yBjE^F|dC1Z#t>o8#vFyb@0~8nNyq-^^XG6VI|NseWV#
z@(w<0+MkB>o45!OQQu8wSNvSM$NS||In6<*ge&>aIuTx}1Rqil;R1Ib?@-r_0U_&;
zsdO7w@yB-x*_mYec6$t*FKUphQ4u)wPGQoCI>*6ds?mL+JhhE>cqG2Y9*lVOB$jF;
z-q+2GERbt&a?L3?W_>v9SUbZ0?7N44m)IBU#GVvG@;~xh4ES7n*?o-iSH1g8OPt8q
zY|QpaP_ZNa=a*LIfTYw43ljp<gC-rFYdAb5Jin>6lpv)7_9w}yLpXskY5syNrp-N*
zuEJMc7~5+lP%V!mWbqHDi36}T_A>fEgxa+O3gc(EJLn*rIuD<84<9o3PB$LImmggI
zO|jPjeMu77+qDzMEat>!+G_p*pWgv4g6XOwP%ekr=vxSAK&O!kHp;)d3(WuaqgdJl
z1CHI!ne*@CtuGJm1)0jz2XRHRq_t$?z|+=QclxTJ_thlkNC@~*QQmdunB@?TF<NGt
z#Ma{Hl7LItjwqH&-Ze)%A`g+BQmXg`wb?!^DOe722ZGbDZHzr>pE%rTLdEQ)?0SHO
zD*?U&oF%Q(g33Q*S-DD8@k~sTDvQYOnkR83K1~CHBconF@}6Yz*~xu_73wa*?vg0v
zlNA<#LIC;xG(v-81kQC31yaJP;Ov3y2OtWzm4L7{eLdjU{9L0nM6r#bjWp?+LlG8N
zdJ$|ls!RTH!FYH8z<G#@)8-A)*$z8KP&`&XQOf-_c(gA9&9*W>5#(;p0%gJIk04{|
z<K<NF?7!q}Y$lB~C);uBVlKEU+4UNJ4R4;jd3R(~+8dFSVd0l7zP4d9u@tX>Wx4a}
z@qH73&Kv-%phQ1KFC$+FPLyPq<SsliRVQGr{!2eAymm=JHSFsnX$e5+cNqQtf11(;
zXbKsU#>OtO{|25<G5mD*uyOqwb`}d02`iyxL@xNnd5M7IEEW%VIHsDf8nYL%|BdZQ
z%3Z^|6kbra(;2D(>3(J-RvsiY_`3=%%NTihC+96*5nj}4dR3xN(`NE%rr74U@g=w~
zSl%7%r~1yt`1X5plXJ`7Ur|4QW2_rwv)xc(2Rs(=mIEIGM3uJ33+UlS*s)Dw|C=qL
zK_8VH-G`Y9r7ME?Wjn8OQgkg_R{KCh`9_zD_phX#G%i)V*ToA3U~&ZjG4w$5pcBjm
z(u*X6E9?(`dbJ2#MFTSfil12IsQrtqq#@M4ke?6fVnj};%7NW?cCw(G+2BNf=|xjE
zgTQ@)kQTJXGF}yLrMd)1p?a7em{ZRROPV*j%r<(qe)ct2lKWcqKc!~^P&gR=!kCBz
z`w%PWq<J84%{&leq~=@sr&>ZeBSQzve506#FkzNtKW1A{RB&9v`v-WW0H8Qe!5C3V
zss%Oz?kNs26v8vl_qHIPN)$@X+si!|7Irna1@Q*<V&OT##M3Ho00{ah5hYpxEeuqg
zUT9)&*P@w2sXjs<E$YyZh2MyDSPp7RaiH<s|C$9(+#>aP`9E<Esso^jk2Cx^?5aWu
z%jpGQ#6=b9{x0qHCK#wO>OOzHp=|tAtn<GuEbBkaFwKOx$$0Jw{(kNk+BI*YhTbr)
zyV_VR*zv1qJ_9B0k+a!0(#PNYr^TayV&MVC!@u<FbgueCRcj+71<CkFjf5NTY+*(;
z3WBPagf@PgRZA34?y->l@D9gtD5#qLDa9}FLc0<0A+U;9!~r0odf+8Gyb%o2?M#!m
z-3-TFF6X3ixF6uO)E?t9<fi#Q0(*UTfOoHck?oPCBc+l2;h0M{BrE1D0Nf_NM{p?K
z_c>|0u#@8q>je)+ZLEGdvD4y&&+&=pix(gcHQ)kzariM0fFe+R>bw@HGy)qZf)7}$
z^}z^+X%F-r1>vE&B*#S2#>K=fvrVy>3W;h5v7I;8wa)*jW~|*Mq1v%ToT@eu!^)sT
zz!`QW_$xv|>{i~-sqO*uu!^~<dDQpen&<5CO8uxCvFrS#cx=t*1bO`n2heZkLhA8_
zD*y1YMAO^F9G=h=KBNrV9xV!_HNc28xmU^x&0N1?X^%C~S=fmnnG?<{I{nap$me%K
zFY>?yOPs4Y!jenTIPU&HDrl8&IqL`$U~u7q9z6r?ai2qKV{GWMYlcRnw6?Hh!qo(`
z;?3=N^PcB1Zv8)t)*6;HmlO~+Z+Ab4{_rl3;hiDf1q<QSNuj$1D%2MMm%2&-X-$k;
z;FUg0S_icNrwkkGAAcDrae}pxcwhHkcSx`3HAhStrR<la<pGw?!|4&C{!W}S<^j-9
zn0${OcR{MZ6RI95fKW2OJl1sbFTyY&EUnPlcoQf6I-`9q=HS>)%NNmd)-fq5<{e=8
zOmXZ|%c-&FM%JCY&w$iwmG*{iFTUDgwqO#hmyr`CuNM3y4kXKe{)kFXhJG!qSpF*}
z5W4U8^SKSDClgM7inlen4?Smn8KE#UX=o;4>6RN0gl+Sy%8)jXxI2B14>2AQR$&O5
zgS?sWTBH=-_Ni>S6|RS7hcLFC@?}X6O7F0ecHNEYHJAC-i*MOjzNpJi;=(E?x;G2{
z86lt7o(L69{6g8qUyf=V$?@7n{iLrhz<edf*gx~26#v8+x<h_On@y*zFGLG}dDRH8
z#1g9fJ9@-qXsY~ca{!LUs<?k0Cs57i{urx)Q0cNp0D+r8hv%twwfS*W06KjU3D=Hl
zVBz3hVM!+-w1clh>$ktBr+d1ZbZZltGucf`XT$Ucn>b<}9=1&!aX)>UR664}FVyb;
zd~HQ*r>!#<XjTU_p0e7gO=;Y|bOY}YEJ*v2*OU|D8I?skc+oa!E*AR@QqjF`zS9Fg
z<Ny*vnv4$-hM?o5@2#%z&s^D-C!1N4m=Cd-_Ae`;9|*q1@|C6PbDNvxT$kEXxhZDo
z%MW=kjeXOjB{FxcIOMHeiZbl+7eF!FBF3boRW!^g`Hp3g2<;ilFtY(izQG?IENHic
zNJqv%#;itx=PZ&$W29MZfokvMas5Qyc=+x{G?-1NpP?_dqa|(4$2m1}Hi9I3;LL_^
zy_y;L^@?}7z$bc_xR{qVjqf_b%(!m$*@RuPDIw1mqM71g_Q{Mm%U;l86U>U<rKzZ*
zk2RkZH<W$4{dvZrQihXg3fjmAAr`OqrQhh=bge2D@}$G@x)01cww!XBPPiwOG5Os|
zR^(W#;>w;sVn%~4IA`@e{YvV84ahyK4p&JySqox2P+U2peuz3bpr5t#SL;CCKyU_<
zDaZ`^J5H@xP=>5p8|^>Ij%yYB9WvcNuZJdonsQ^Wwb&tas^5in#U{+CRKe_Mn(^in
zIk7|b+dXO@D}?)$g)kN9H>A_M^myy{M|W`)hE=N_fW(ikRx0s@q8y4G51g2@Z-!Tc
zlCd;*v;mbZDpqBwiMdfR{xiE;uv&o0WIg)tv#4>-o;@-jJ6_xK5BVJ-qPwvRPs%3>
zB|;uKr5%q{H_m8<BRONK)wQDHG@(YP_Kx8y&m1j4wE+tjK}DyeaBho7H*#m3^V5a@
zz7|uLkMTtbd4juqP8DDafi3M3LehOnz};!$t)%qQ^G}M;8nDE|yvssI-8^vgnh(pV
z_~s~`&2|oL%&++r_-OV`MmQ}q{oAyGWl|g8u7;@7`EEGcu^wA<*aSOFeyw+3?XKAA
z+xl+`#<<VuH-M>Ye^}*PVOe*DX=MGOnhw4mRA&ph@&l2ug#}!%??blxBl|jb!Iwx}
z%4uilDJ8xFN46r<alcb>2D!SNSL{S0Bx$0`q~s`QT+(0dOu%`*`x*P0-)IdzZ|LEg
zxzgazDgMNd$NiZzdXm12bbOW1t#Ll`Eu(_)U<;dj;j9R97l~tDY9e*_y8*xUele^(
z0{*%#>*>l6Q{XS`ISG?8O{!uR;(uoWpcS58UpbMwUnN?UX#yONoWh&gJR=c%#^@Vp
z2;9URL_@kXA6W_MR8DF3Y&|d>Jok6;Y{-x{g8u5L2z!w9aBkUOeq-Y(<7;ACKO`4x
zGQO~_`25Fm?R6lo{^Q3yVEy+T+q*xE)fysOz-p7J1FDzNde`v*O`B<$@6szlT@#Jw
z3i?@b$!*tE6LV`1QD&Dbt+&wDBV$U{^;utN^vLSPAKG0Jy!5Jm_r&YVJ2MM(8C}-%
z8a3Q4PnRM~dPFlN(|@(_$JqsQPYlACosY3+ipgD_1%{Y4&(^+2>npFAm%^3BWBtW(
zLQ`Ugj0fyYfxVepYa~<mX03_jiPu63Uc(=OQs#*w$rqTn4bU7@Yrqw`w+qP0KnNsh
z*XZ%GMZ9_4z0741UrzG*!JB`M8=7b=7OF7$1HeU?)iSbLgZ&tCb=mQ4vE}XQC8Z~F
zhat&kTZ&@w3Pv(TRQbdI^%Ya)_jXmRbFe6$yX9Ep*7ZA-Mwhe*XS(dXdl_u*hF4$h
zJ7%s_;qxX(Pl@J*Ku68~HoP1DhzD*lgI(3Ns**pR5@mqy>qJV)ISZQiaE?^FtxiVM
z>ewJzrJ<?2%o(+|p##QO9MZV+7z<gM(9OhIvD~*1=bfZ~H%Kbm#jZ|e&nqHUU;}@M
zOJfoRzZS4W|LO)lVyx0r#}M!_*g^Qkqk={s<z-s<s3d2WlH7CgRI!RKSBupMgkwWy
z{1@89AWo5*ouEz+*bfEkc<P_|i3#L;J@8Di0ykBxTZ{d(jQ-_M0tG|wUr0OU2nS}~
zc#Ly(oHAT_4F4Xkms#KN7JA(MGJ%jJ8M?Bpuv8=AI}IHPw7J$W+7*djE~M#jg%Un9
zbFK=G_IJD7s4C;107chI{ulsd$NsR>TjiD!5Y*m_MVE1^^o+XiMR$%;!zOBPRH41w
ztrDq;vH%=;g?$5A@mp7?m;!Tqe(psmEdc#BB-T`n>F)ku<R)d3i0U0;hc>dQ=01{C
zo`kR*xjCGnN3!n<!`yt!0o<^NDZn8EGb3EEFE{h$>yKrhKk5C>5AiNvw~(~IPjK4z
zG9VG&JB<GgO7lCk_nNoHUfLK7BU=t1tPWL>+uFTLXq9~X8i5UU%fiCH{t?`x*G#U*
z6}MWs-)~E~oc%oOGdMC@F_Awj#`ZUgd9r<CVRYxs3@252jGp}XQ?NMG+CEgw>rQi6
z?EU+aX*<G0{ips6I8*5YrN<$n#>%3`EpvZNLcK&%rD@%Y^wp-^PTr6mxK(mLw}_Wb
z$?yV?LZCg+MR;dk>HdkxSMrD3K_1&2BDo=|cYmK;?Bx`^QI%?*`#k&Z@#J>iE4<&D
zJnpSG$TG9VDZWKeRGvE&wOYuP`Ll~vJ6yvTBr9!+JPor(+i4NEyVT!zSXf$nEE{pj
zlrO!i)oe|rXseKFdX%dhV)ESVs)d`rXf;uGOi!H|wM7hYnT>eB`X=1Y+E`{=(MZIa
zzSrxNT(M7WzWYcHcbw<~#+|dS_}oiAJpJQg{mWbIL1)h0)xO&8v5-0(x5Y!4t4PZK
z+rUG;&<6>;eUHB&$laYg_wbV7c!X(P3EdX8;h9qN7N2BV)rQI&;86nL=vp_j^L{J*
z-D4;6H^@Da8((tW(<D|LASN!tpz>#ammA?B-;aB|l`SCvC@1t>Z4h>zHT&eAMmtvr
zwi`8aE;9A`2RKa?1<mt>{Z4tgW11o|Q77anyyE-Le3r`L&IbHB8jLs<lN1>AxIg7~
zIBrNfm15p-f`<o1?m^~>puoE)y?sBV9PpBPBpd_0a}tJN6aRe}!gsp$e^L=Ue9L&p
zyhO#|Cn-KV;ML_vvYk*1-$$;`>;KW%A7!hr5+#p4Zt1Z#bD8;u?*U`pN}14{lQYD!
zJGOfUTHYKRp76{9wWO6(y35Djgo0{{ChNIG-_a83k>-GuW6fW)%q>~#9rbN&^SPCU
z9@nW0Z0sF9Dqyu3_)_M1X!gNSL<8GeQC|x;Kl(^yyqrCH&%z7}`V_xo4n9$;{Qab)
zDq{ZR41*+_aikTuF(GH)fK`;5Y{T2tx&@H82G8mG!Sv~UySX?1|5j7`I8_$;Sl_jR
z$_Grv4V?1UZuDGyVq=InsDf@YsvlOWH>mBizRh?TQt#^fO*ejc)e>L;m|MyQcLk|o
zW1{}UkFrOPGUI?a``#6U$k_)V7ZZnD4$or&piK_|+CG=JH&3&9c2?iS1_zTHv#*QV
z$hpV3i;1hPdO%O1qc@L~Uz(RH4Z%)nV7xw8#oeBW@6SCsQ;ke;3?-c+TVL<)TLNCz
zKs#7ms$?*UHW#}E3am-noO_fQB-$-z0KdZYsIs%U+sF&t|8%2LEX;$NMI<*fEZOWx
z(ao<@_-p13zn<9><^msUv@UQp&^xt#MRDM3**J|vdwf?$#%Lv?dS&m2qK&A9y!aq@
z57*^^lg5i8CRwUx6*I^Ki4jl{C)p0QksJ%)4!llruj;;_iy&J-OEdGBZwA>2`pL-j
zP^2oG=Wbq(`4uXQTah}Zedl>QV*BGw$@iU8R{-1Dm%?2+ce>|xW&V6h?JIBtSc_NR
z{4o1y)*Mhlr!7wG=_QU2?#mT?VTI@c`P$;PqTAybl0fXQzXd<jHif)rhzufoEYrRT
zcm;#!KfWTS2j6vQkOL{8)Ewp`5o>nLgku5?HwUFbD{Tzw*<wf~x#lWDBAxC~fBcjf
zcmMpmOkP)%3GX1~waaLg7+(YV?GPW)HZfX>|A?}|iTm9t=uE%xMCzL!^lx93bp%L?
ze{bZH5xq%3b8fk>63as1p^aqqkSmpwWMc#J2PEQ0wYCN1mvNg;;niS&6N{oB7o{ut
zBW>uu9qUp<v$(gaaV2%aef1MT@qjyphc+eX$VN7=8>}~t;lDZ`&$CfBMfWUw5#h3k
zy75?zbL<4McDQvgU9!HMZof^<!t#+5GqW{nOx!aRNJfD_Uq$$l$7_l6B3>fFRX5Oz
z=Bv60m58qGp=Rnw=ya}vn2XSLb+&b-kv~bl-)3LGpvH7idhAP@lE~})3yh2Pnqyks
zm#b?1J!fIZPo*bR^9Bg-GF?L%(z%47z~;1})-mSyY<sO*ZqvGMb}gM=ZY=3xA>>1N
zoe_8Xrc={QEt<G_m@_YesBqSr{FbPScXSm_!-0cpB?yq?aO(sLR1ntMG}k9<Geu<u
za<OfXocr~du!~!t0a!`TIcd1L^bxhW+y^&nM03@(B|Hw6-pbCdh+AQKu`r|Opwo}b
zb%UO@oF5yQqV8o}9E5uCzK*yF>`8{>tb8{SjJC1~)a?)FGoZHklUTnz8;`IYeWVHS
zGOcau4~MRBwmI>zM1v)p&b48c`%w7?mj(5Ih-8t@Az2`B{PkphODq3a3hi$r6kf@$
zKpDuDoxMEv&>GAaVFW$j>o0JtR3i@qZl6<4u(iNXtmQgI|969a>Gq-)+<~DwPwAOj
zqz_`O$y!0q``rbG^+M*x46n;E5uc}soyYfqrAKHA1cC(4^_M(^{(2{AIP6`}p^r}k
zqc+F~+H*2*I>q%LBeUME)Ds5W2d(_I6CwgHE??5?XE@lQxy`Q<6(n`{ZUsKd0R%Aq
z0PgjCF=Its-si2t&2iAo#I#O(y4i^&vSC9zp<9)gL7w8`ChUHx;ZJW>zFamWz!i3$
z_ivQvqkHK8Xl7F_X%RKGHi@48wB41Q!QRi_dse3ZPc}^<#7*P}m;!GLF0kw3em?+K
zlA3@|7y_9O7-L8St2!>oa26U_Cl!1xw|XtRetL1CVtlBeEVj<WZQA41NwVd7#Sd>w
zf~=qV0Br6)z{Dw5ex!P#97X-tAqN9HUQi6X_blQRUyjc)>h#-$1jpv6K;6$4L<~$3
zL9il1F#>qwghlhGVs*D*a^1U|VaF*zbJv+eYeBIEpARVQs1vP6oN-4VEuV$~JnBsg
z9|iUmL9hV;<q`!}9zAs1XCD<h#;hq;nj;<u6T;VjnZS3SQYK*@$j&k_vH!Vm?p8zY
zK7<?W@Jj7dtZafgqy(?cyn~7hY-l}F_kf??6>8PZGX(`7!s!vcnJt9^TW`)8FY5So
z&71dwV_nFiSpM!|j&WS3E$5;f4~~uph(6KCdl26F;QiVFFco-JB7FY7%H5EDk1SBb
zXEplWNz$O?f-U~vFj7qS{1X1m<Yj3WB>Tc%Qp`6+ceP8V&1_Fio2hLA^ssFIS`ujv
zJ%I45W;m%&XvdhCNiAqBuvM1R+UNGCd&SD#`ijg<)u^hM{$QLBI_O=%MXThgSFe*C
z@C`vGq(E44Wzxb-MgKMQzc$6CANO0p)31>!Cud)f%2Us$%1#>SBh;4uPSP^Dk_O84
zZyKGE?tqu(B75GHy=<+(<=wf3R<5`}Qod3Er4wMS01&%AyN9{OoQc^G01j@%R&V5u
z<bD8z1XPrAfEd8;;1<%5*Is82Z6w~Q-bD=QRK4$gc<0-AGRfHx)|&KJ2Wg1WUS|bP
zg~DVpr3&wk_^rrvWsqy(9rX|*0e7`P%4B`_>D>vp)`QoG5YX%43WW=pZ{;Z!C64HX
zc#Mo0MAJ=boYF>W<P-E8#sw0U@H}CFvoe#HgXzGkTis0aPZ;;X4)auqW(zdojGn25
z645@2%;u8CLBk|1-(f&IyP9h*0K~)0?ENoPAn0`mj-Bz~Jt;=o_@v90Qyh96js(kC
zu!OL<`&E5@h))?rURF-ap5Mcu!+iJB8=lkuN7SVAKP;8;hA*iH<ZHa|x7b&2uEX&_
zSA_&CIuBDX@1D{)M2WUM=&z~?NMba(=xYFnw@PYA0%>v57Q$rEl+!&)i-@`wH%a{Q
z+m*|eGn~w;^s2GjS>I4c+QDQ?4p@k#K861dxpkXBOi2~~ASRGimPnHXLguI%QRozr
z2wQmM^D<B1Rk8zn{4e2m63R|RzH;gGr%Io1I8}FH%>R$pHQ<b?6#V`38IqCt$Oc45
z@zX$-tgHaW%HI>p7PGQLWZU@DT@OSONdhYnxqmaav{z$>t7lQ`p%ql+_<Z7p_U&82
z(0$o=YT|)PSF<y`LTSbI+KbN)gwdt%d+{$B-fCbYk7SvpSB;@&YD5h~qI3?nC2l`U
z4h8{<#}h(f0>Cbvz${E?RvV(~o87w%@XG<Y3uYEbJQm7N<~OiIQv+V}*W*8TPvrwJ
z^OyGrKsIHCN9`log?JiX___<YsYDQQMBH!v&0hMr<$Uyc4S_FRfMjexkCoXPomtu!
z?i8<w_QVpSPFo|V%0lq2=)eEG*ZztGI@VR63bQh5;F<Yj=(Ra<7-^*`9q=vMV+1Fi
z>mr*N)Mw-=)`Ryj;NclQ9Rx<*ze|r>(k!zlP*_Z^MVIea<_B)`O567F+4o>TKmLCM
z^#>T9LDP`THVoo{r)p_yr8e~hk99fjyX9>M|Ai1Bw_f^=Nbn*Zp;4z0z;>uzv;tPB
zZuL-2zeL_dbG)O1Qy%DP<syi624TARv}0kVOANWOv4;^hSu+x~7-DPt^K+`ocH(&a
z*jfsdc>cg{Ca%EEX?W!#NBKC+0vwkH^@E7L6#cn=4s6gNRGOGG0QE`hD?bBCc45eU
zcu5EMbP62ZZ@FofZ2UXE%KHU>47nAF2|Ir}wK{b}-7>Sjlxid+K~e(X!pa}rS|=Bv
zjZq!G5CT{e(9}%&pI%Jk^}-dQLJrUB+FldipFB15)581MAE%W}W6e`7mgH+z+s9<C
zs}L=UMG5&W{sB<cMU&)(HsN6t#HoGPp({+Y<jJo4Xz&oQU|OF?d!XF4&$9iR&zdI@
z{*GsAkN{3WV?VCIbBOz63BxjhFTf?IwA$SM_bW(=BSz&YT<ub%CEu_h-i+l(=rr-S
zX}oX!;<64+HH)Q5#vm7x=K1saw{$he_$L)?B*CSZZ2VIb$M^62HZ05f44GD2t^a2B
zyp(CT61yC<TI#c*vOHzo6PB}KU2w$Fw&VKS9@i<>+<(4t6&<zcAHtE@B%9cJFP&c}
z2i*mU-2b%R{0!vtJdTe+C%qP?E%H;kBYum<Hmvg<>XqZz&BmrlCeeOwopgR@{iJ;o
zpuqy!r5lBa3`^dCg!><~rSa=rnXJp;_I+*Z6g3fllcw<fnfuw9Wz{8R8$Do=!BiG3
z<us&b|H`q{-opB6zHR)Sbbh_S;zQqa+rzMfdys}8lrKfM!{|(8Ct`e;wQz1Zvq>pX
z09X-|wwaGU&0Rk|R<E2pN>&QIf}S)z_J~uuu9Gffn>T>c1*m<+D*RJ?N*}un2E{0Q
zS~PH&&o(c|@@N6i>p%z-P%frZ``p0(%A<{rKL#r>!zmSL1KHthI_X7Vkw?VTJ(w}d
zN#WJ?lGAd8(xTJ5k}0|r%|h5$LtuvVKOTnzbT;(YBF^Ky=lpH=tlmT9u_CXoG=a<`
zw*NM(R`Kf?ay?%jv>ZaPP*p5C@RWY)F^?9b-*8BaKWZE}YQ#^nHx@Y4N{v(YRKSIQ
z4SQA^Te+}dhNeJwUP`<VFyndyz;T^Up~&Yc#H&4+1E+vFnEV&s*4&!2O5o`t6}jmE
zoPQ8GoFV(cp=8~M>)~z)FeliGtNAy;-~;3D#9TLE_LPI+Yb{xiUO7_iV;$1e_vxmu
zn&q=kFcUbLBzP|p*5iO?8V441exZ9S2Gi&pM3GtNJ3~z^JkeN+fS_6prX<!}qctWO
z$Zz1~Eg^I1o{V-nKW)v=EkLZw?RCdQ-B0sIZGKQUT7B5=h)>=Pz)wy~d8G;1W#eOQ
zZU@R~hQfoM4M=CuHR4gQ*XUX_zy(2qG-;DI)6u68n=Xc`pzGDaFGgPhs`CIviBtu&
z@+#{LriDp(75g=Ji$*=*)Y2xMyc{n=*30t(t;b5p1Y|F=^cDRLmU1I#IN0iah-5CX
zcXzz5etEB~$wM#mbX3W9O|#KzzR?JHEz{2`N}^e%hzGCe6D~<vB-k&n0y-@~$`s1v
zqJ>RYN=i~1WRb4u6sTiF9CU_kg!nGKJ{;I}Bn3lX`QPawRAnyhpJ$_7)2D^b72TS@
z&eS<j%_4Zdd|$Y$1Pu#jG*J)A`V{~@R5#iq3M}w$+mlDi*<8lmw&9fYi>n(Uw(gq-
z*yC?MEc${xb8_>B$&uE6GyL7L=AGFyRmRWP`xz<_7ZWCCk$7Y|{Cqi`0aXL3(myhK
zFc;=3zkMqLL3YL-_%u)x&#Jq@4gr_t8z6DH*LDLkR9CTGR~kok^l<ncvfi8*Yn@!Y
z^pkR0!f?7&DZ|?hWq&>Vk+(?orGslYn#H{4;)gFErSm5lgFjvGH+X|?J_1p23B%@l
zJXd-etx8hkJY7e|sj|+=SmSOz!80CGx|xH<q!S_ftX#Ad83Btc6g}sT)&%s^wV&U;
z#cp3bbRGDDlT63@FDOnSTA|36!0WQ4EX@%>Yqd-&fgy;oS%+squ>iFtLQj1EITGzR
z=-2!@tB<|40+gnPP~r<bzkb}pR4*Ebiazo}nn|`2xN<RS;zv9SLk(+V6G@iJXlT{h
ze>R3AK@3zJji%Stzh7?pLL#P57xW3BH+}CpLC^ft@g{%(39l|?GCrbN|8TYuuL%vU
z>C?JiORE=xANj~3(io7V5MFUs^7HpK?wq2McN?vRfG4XjOs>!oKcqCSgqVlj+`W6$
zc3c{@UwMl}fp<-r-nix4aoziW`uT*gYB0sMMV9o&m52F-!BzoEdk^!$!5e6?9Q;Pp
zWfpYtQra~z%`b#&29XK>lwR1FIlU#a%ENBz9%noo58GFk!!v#L2MOR%2K`4js0+)=
z+mx!y?MB@SSr0r%#>vD|Ho_{N`U8_oJ;CpStoveY-bYOu(`8OP0VQu~{=Ay>BEA~m
zXx($+dSVMGtpFE-5njW_a{QDoq87e&T8ePN?@nj1S{l!4lBcph`n|Wr00Ah`eENhi
zU*~Hz|4!VUIq5|$8szR|2WVe<Q9fZ0U<TE;y@I4U2}q`mi4<{L;dry-Y`lB`Vx-6(
zy6TGRhGYh(;)fU7<CmcPYnsm!5YP`e`D^nV*lshSNB>iTv1~kV-b=DLeZN&9`AoC_
z*o%G@t3_}n>9I+8s`*zLL5JQ-Q{-8`{xc$fG?WF_Tw^NqcfOc_zH$JfuhXY<E620q
zPcNPomjUtF#BI^|ebo5$^H#5l%l6*V1U=~ZX<icU^<E+6L;O&Gg6uJil~v$x_atlE
zGk29}vS(0<r`P*apZuB8<3zQifnog4F#LXtnl0`U8)W#6Xckt?IlQ|YDUYz<g2{7M
z3*v`#5Vinm@ReU=dBQ=*{?<>ftr)x0Y*nscBPMmB#U=z@hkViCY;!jKNRffX2B|&C
zbR3(t@_6!x`0mqrYmBvq2|=Fy_)SbC=p9KKWckS<nP59jTui>Op|C$Qy<9UWx{(=z
zGOb?_W&+qTLjYjQ*))Y^QySE@D&zaX1H^dK<4^i@;zTZ)W)V0W(@<YuZx2l&E+BnC
znl0`4z^%|g`>w145bL8fh-P=Zm9#z`!SeS%hA`Xh)figPpB{QNT)6cl(EuD>;ojcf
zYh(t{AX9!P3<2aS<+!DTtS#S`6rFBrhXT%BNA0Kd)h*<gMgJ+H@RO7LZXh@V!N4&x
zfTELm23(mSm2WA^_;FY9HbB>VAd>t*DNV0eBG`Bra*nM$e(JuvmAf4nl#i#IR^q-4
zO`*Aa!{X<kXQWIPl4gb4=|!k`a86%z>aGiRCFuMcy@uDh>$*|%`Ub|W7g+zFES|!n
z0DZ&6w1l!ppZ>()6hc-o`TGgf-zGQD!o<zqpzAIS`_e4kwAb7l$NWPBiq^06gP>04
zlnN)V7O(j(qr1|aI`-``Ow*^>g3$VBRLCDf*yA?q)5rZ-TE~LZA^n!~u;r^ziICY(
znQABPsBrAx^>rGq!|(kMBwo*5edjx*=QzsgKXz~ymQmt7y0>(CGJQkmR8F9a!eDK`
zFAX?jh*gmb*qG`YNY+f(%AuV0;_V7_OWZX2z!4{tAH&d+S+X*!r9`LmL8R+@B1=YT
zrTDT$mV{c6drpbSw+&c*X10|5O=s3Ox9Z~Wi@!P4ch1@H@0FifM`zowf)!Rj1=Fe2
z?wz$PB{K0u&pa5~f!zfrV|7f{9olIfptJLkb{;I!gc6oub<T7GEEV#a$;xRlNxmNJ
zxsYb0fQC+R?sGw0rJc=GxiCc;dpyy3nPWe?lEfw_0qx=VW`mFTrSuzU%tvZ*INI`E
z<(3)6ECLm>-K)m_a#=`ct64_RgYBiG&J~@+O&o*9XeA0kx-pIl)VVT~B=3Im9k`Rs
z9OU`u;qE?>%JcOzTwK3+@Jg{;H}Qh^6qPb+G^fm1ExZpHrF7|Cb910{wHJ`z*h+O_
zV;HuO&BzxgO?*1@mK3vPQeCD}U85Ql)?AptJ-Orcn*QSt98vs9v0>{vmym$^RLA69
zX|jeNF6Ev-m-pdCzE$+`j?u8S3wdC~>L}+v75KcfdtN+W)@9_Jbr{N@1l9|uWq;_N
zbw+J*rm^45Y%_dLx);IB6GoL;xAXP8`-o^58S4zkVCvo0A$>Iz*`E&PaL@HG-C<$1
z^Jzt!Xh5qPq`LwcaevB9Ym(V8fdG5S18{poVz8;3&uZ=Q?0!CciJ|5{(f)ni4I&v1
zTH69|r68Kj9lnOf_xYF~mR4^lepuoSXg*FB$eISN`12nQv_O`Re?)HhJ6oQQ=sx&l
zvOUn+i5G)T6v4@2^!nD_mmoU0n}|l!;eHZ{Ym`=;Z2#%vor;W8rW3OUlZ9t1(Yv**
zPRx&OS~fXf;D1SPs3&f|HTP)Vt$awK4>-E1$8n(USCg}k;X9)$SZit8>^#5e>BF<i
z=qo%9m<|qnikGhSN+~eTAW;hRcwEHT3;53xFzWbKAPJk&3wR=DBnu1q&I(%dZ<)zu
z`^>E(w^oZZwjRTH;)!Lo+dy+@z@~%OLe>BJyaRqfI{PdBt((Lm%f0Q!b7@X2b|weg
z7j3aeK6RiF9mXGn-=p*23&SRTf}!6$DBorb+5M5fPfZyewCFF|T1$Is4(kTH{Bw<S
z7p}2&<r)U!KkcmK%qUp_B=c<o6{i+3-d5mF4Ll)y7mk*?$k88W53HU}dM(fI)I#QW
z9$HMJcPJ_WU$>-_5k}>pD|6}I8oGD){yx%{h*}De-#%SFQ;zuGS%7jx<D3D-P)(mS
z5Mop)2qgnqC*G0gpl|6%{q_r<Xg1J>Ok20mONy*DffEX_Gv6AnG*14b_!fa;O7WeC
z`8=ZrQhQ<C8_Ff}U*4aIUnI>*RQQ1COmw_))#d?^piOd41?fIJMg5*RYWzJ9txG4w
zNu3XEge8$?O!$C##&$Jc1zXj3d!jB1MloA>RslJEgvPm|vI;j*JQNq%!!N=U-+^3&
zzxkD8pub%74bx>?xUcznrd!2WGaDy|uP>etwQ(0Dem0=~)pHADfNI*#J~`RgQwJXW
zw+TT)9K7=9Rgk*gNCQ{PV9R!PEpMy&H^jM1+!c|De_LTCY~?+W_^Jb32jn^Xw|tvQ
z6w(mhGi^ZX^<>03qN=5uTne8?4ssIWr{Ft4jl_T5x-&M>voYmsb;pr|;TX0z@`mB_
z*FJlOBSn2YiLv>3F35nJ)tIv1`sEb<{<fW6{qDUq^r*2IP|bf-e!JMmb-<uDit!Z#
zkaThwY~w(T`%qcDUf9PHrfI#p#qdA^sHf(dl~Ue>5TTSpxK>X=^;V?ct~A{lJNm;J
zBa9yo`A*=V4L<40nw;e^8Tq=MEs1!Kx*s}idALVoV<v}nzV1sScMm_Bl?u;=K@uY%
zA!>GHvIk0?B{G9>d9!>VF6s<s+u_qCJ#HzGX{7vrpN<y$?9bM@DegMtG1+dGom#8y
z{-ZITKx0I?0(cBIm7D_P8|%s?p{a{3AdODC>9_yXp^reC`WBEAwu%3gel#-k47A8n
z`G$-=)6XihGnbtCEx<Q^TEz>IP^9LMqmlx!$_uf=6h2=cu>DaRJYOtJt};0uxP6BZ
z&^0ggh5N~`XitL%j)KUZ>9L?+OBoS4uD_x@bsWz}VHW}R3n4Ad;r1pL?U($0)QGQR
z|E0nI^yD`5z#N6D&Dx>?+1|e62-*#x9%gWOJ-HbQKj{SDB`nvDB<ui`lT6|OI3-h)
zy}>^FCn4`3G>Dbv==Mq=<J(&F-(qGUXDcP_MBu_sD6Yko6*mI89FPk#f8VeKJ^17V
zTs%Wyu`PkcAm=-gu-b$znn(PB87e@wD|3;k{raBb4;nO3SnJckKq|z@V~QNiRE^6Y
zB<S2Ir8D>GtcPuw`=XRSa1`)6D_BCVzfye#u(E4rU3uw<)k&>xD!JnK)&Yo<;qP>-
zd360pa;`E0VPaRBSZ8<(XP2|WJ=aFWxTti7!#W247}6XvXyh;sxpf*G_r0w%Zqjhv
zHDVLLUYqO>PcND^Xn<rjuGFczAKy^-8wmnYb)Hp)_u4X)0EHx8sl*=;lqxvW>G#1k
z`)r@?uU9mLgtE4VYtof<E)Qm9Fv|%R?=&#XXYv=t2}-HlDBXB_oMtUv!G%c`&}lEc
z*~;esFkD{zuRDFMvZf*MPvu+H4FH?cWtwzx&!=)~99H7IJ3W1Gcp9{rO#JuKm}iug
zuTzF;g71ftR8oHtkAKk@nHqbS;g>${aQO3DU?JLKe6^J8Hw_hNeyvZj1Ms#n3`$?B
zjni7g5~@@qU}_69c<^Qse{X0tb2|M({HDCKc<sKNcn5zhv(=Bz-=^`MEI%F|bIJ{V
zxtAVmr2OH1Ga##(eDG{)dCjGkojqj!C1E;~GFEL2zCzGp^%o4374JOCiL$%Sk=n77
zXDJXMQmnJ`n*Rq!s(%+f10~<35B$#j(P6I~uRng}_=0$<8G`b)(HaS&Wc1)13n5Hm
zg`ed0;NXr-R)OKY^t03Vd4hR7Vtyopr9!8^KNf81^wVW{GqFZr8uu*6zLjlJ;w=lb
zhV|#1K_&llFiQX~0CJYJ6MrOBG|bcMx3gtBWmPQY&!FkI{_8QZd7QMW&Y<@90y?SV
zM_O=ls+B(b$~=<djG713?3+)qE}ft<IuM=sz66Bd90s6h1eXA~1|Z1K8?vSwUhjNm
zA;qJ2@AOSZ5r4En&f7nGE=~N-<q3{on^zw=GcB^rmHM7H4bd=R<`Cdf-MAAqhdd#u
zL}u=6$Hv!|)_=8uB3@@+6;(8()^-_IR;snz-=O^>tSd-4886ZD)eYXB!A}djwu>w^
z{YYA`GIb2E{d%_X&9Z6~&hq#Bt#R>b4cQLU@w$C<nZ)bdQTBr2C45;@^bn|+=MC3?
zHNS3a)Jf<3U9j0;aWjv(K8@eQ4ZhITH=7KwaLW7R?eEX>AcY3&&kWw(Jw<&+aa1!#
zjMnV6EH1cXMC-9<Nhw*~<)7jf^b5D+aF~=x@&JPBSOR&BBkPFFG-XIpl~*x?qZ<5g
zjvgPw;HSX9O^Y6~<;^F<%x!1RKW_tfq251yaM?~TXP&s2x1Vun=P)hNC|$;45KsZ9
zTbC88r;_zs=TzyI600;7%BS*uxfdP)#Z>C>46Su^DrQ<wjds(zcayNJ9+0zye?Hp&
zd~Zv0Yto@Tr)!jLM8=<?d(5LM!UUD3`nq<TU9sfSV7tcky@RMbqQyLdD?2jX17Db}
zlMj7|J`^-9p$4c-(`6n}Wkkf5*U(OIj&&mAQH|>*%9>dRW_Olt-pxVlran}E2Ddeg
zk3G<SqVX4NT0k&G(WzFY2LjO<qj>?le0;c1l|`G`KG=^>>fd@h&bF=^LL4XF{CW{#
zpTUpH)Vh_PeSa_{TZ47-9%cWN<@pj?E{~jQr5pig>`iCY=*n|B6nRXtB~7_DPH=y}
z*?psKgQM{<s?b*>D8PL^Iys9wz<z%WH;Nl(B4__b@Lf^?xMU;e>zKK#xaOXAM<zLs
z(2ow5;#uME9#N%SP1xM!7c@5v%wj0uDNr_HQyQsI`smCD4lvajj81(!j!F*LS1l=}
zn|nE)-HRLkcx)yA<kj(w-dM@HDLQ@44McVG6fv9a+G>QB7~TroTREB_FJonsIMf}t
zgL>AMDx1BnUaZ_i+pCL2=Vl1Ev~1WLdz^Rr_vJkMD8zq$uO0%kb+Z?8(QX7vqd&Sq
zC-37qjAArydfe^~lIlvhF-lRH>}j2j%iCQRMO45Ro<Gy2g^4Li^Z&@=3%Qy-*yI$X
zH~KcFj7eWu@6C?2{R^N-CYl!98sd*uGY^;^PI>C(T4Zprd-s7`#acP_aHoZy^R`bd
zCfuNVyx0J82hfJ0h*D$~_n9Tc@MM;6xpLy0y>6(AOV&9OAS1x4yFuqgLCWv_8ZybS
z+11XB_}w}z7&ub`J6X@m=b)r@VVjHy$n7@|Ggz$12>V)8d8?vDfkA@g0k=VXS{%_P
z*F?r#O7O9KYS9-A5M-=VfqS$N2~k6B?C;hX>X*VY4L^wvc!mT>hcbB=^!e|XFy#7s
zeFA_{AS+k6(gaBn=6=&yvYE~>g!lwky*AhBEQAPH#U#b4`JQdbgS~kurS`7(rhYhP
zTI5`sGR%IvFo}JU7V~<P`0W*=K4%lip;&Lsguc=BA|>4lqVymaR*57WW;$%!DzN8u
z9OL$;?Tce$3)NT1Wy85;))A|--K9IDA=FR}o@OR9P%@%MauFIei3KlhRBvcdP`lWN
z(cxlltCh8F1~8WBy1O815dExw58}hiP_KWEt(@V1{HM0gBRUYbmvD*bE$!_3MD40C
zdf&gMgg@!Fn-9+)0F+X(_*Sv+wGz3}-fyS2iY4-GnLe$MQDn6vPgNfTNtuhDsfeN!
zzM~1{!*|p7w%BxPT%LN<CzX}Ac$sUMDU-~Jsk^D->MA4Fn8Xkt51SSvkPgr#KiP(*
z?aa7J<HZeBs)sqPXmsFx?Kh8&&5eeeDh0C^yrub0uC|f-Fx8&UR@%k?{x7jWFG1F?
zHz8AK+=nkl!|+#DSiXRTM;}uL3;u_Gb+Q>RHUlDFF}El>_I@3LlrvLiOip+ZEfJ*%
z>b#wtFf<wh2pTjqH`0H>mBO#TlPzu7&#LPh^$1om@AHbD(oD}xxhTj|uQCYuCi_d-
zA-l_cI<Nu?37vTzyvtgDuS^VXYx0)X%KkHjs8gCI`<mCV`FnltHu6>ZDR1prFSL!|
zoo$!srZ<HJQ)J4W*PH1)Y+SbAFCMSkO=HW|&Oe)f`_?PdT<_^NyPxpo)Qt#1e)6z?
z)6_Y}<0@}VUY5D%+Ti@XXnhd9Ox0S${QwSE<+Z*xq568iCRSc!qw676S(Z&5NUWOY
zw5;01=26ojW}D9zsDjhPa#gqI6T&Qr;0YRRxRmV?i+ruN)##@Jo@S#>hb~nLQUYOD
z0}oN~V%wpH8E5RbeT5h?B*(Z*M}chi7?}v|W;W=mPjM%G-sq#VF)#4Q!$7VB)4lW}
zucFkrK(l&j7)8d$TIf{W-P_KH@@<lk#nZ6Lg0`RXJnUq;QIafkGU#FNmvL}!dGc>~
z4>S15lN@{S`uFLVll&_9TFTZ(@|FhwZkK&A;U?my+fR>T$|Tn7Xxb}ZrB4ZgctbwG
z7BH5MOz{yr<m#twig|H6^;&w6m6GYo?(f|-T7@FBX3pMj7&T%6o7n+actgor@IABS
z8^7TzCmSTI8;O5v$gWJ<2y`fcx16_P6zMIR8n@`uWgh4%Uel=0l~bm$o*F!c`-TB9
zxEeC9iR{no+)eFwWls*(+MlJ+dJ?=Mt3MEeK3;D7(WtUh7Eny<<FUSu(Sq*tu^%jf
zyU7o{5KJ@?8FoQudbBRAN;ib^8_zr$Kz2`lS7&z+L$d-b=BM>5T*o^ny0y5M(z_vz
z;iKa*c7W>=f?nBwS$F)~PvHTL5CeDSU>rHlFY#9m*`-Mvj)ASU+=4Q-U|FdU=^!73
z2cS1iNepMQFQ*#Z2ZmGj{Be2wNnSt_G*|gk8sv5RPGiAt0IW<KXQ-#xdQ8S2u88!*
zyCLWQ;86i@?`f9qZ_$M6vaKrE?K{gnMm~L)xh2styzYrJ&RN?%_h=S;D-vTe@r?JT
zKZkRE8P#NWoVT6gf)DWn8@m0PJ^uQLqs=>N;<A9}R9i^+LGvP<`CSw<;`Qb5;p+O$
z#Y32N!#nI_AQ!sMp9<W5Xdivj+?-<mkboG_iK1kxm-(xP^3bGXR1GDTTuXTLR_8+x
zN7Do!Pgl1c1;3OjeB-2y>_}=1b?>D<IgylJGO_=JDP(q)+NZyD6ND`m!@3qQ1&aPh
zQM~i?oi*1-j#5Wj!TKEHl1@8wrD#sdI1J-ipqJa1u+eR7Bl>ez1X~2#%jiQF)|C6i
z2wlx!td5%L&D}H~V>i^Us}8GJnGep4vnBm?O{v<Y!Iee-gKMJGQ^!q35$jj@$2U;m
zv)f`#v|ipLH#C}9#6xYMtw7&SXYhp=dDYP%ndgXQjFroFiKmh}>zpBPAxtXj+DkQZ
z3QFU>`aK^bhkW`4=<e%XSIrw!bPO8s&xkt5yQ`*AFEN!hR2cP_-*3F$4R3t4>Y_Sc
z;P(^EFq(%rc}bxLN}sR;P8sKm=<vNapccVGm$A@2tgm$nAm%YWplz{=z4;sH&TZ17
zAEQ;!vM*+U3+e!>(q+7Lai1j+L}P;kUj800`^oznmu%5=FU~7%-R95p1I*`t)oh5q
z3W#N*`mqADYUyv1HGVr;y%f(zc7&!~6FfDC>ize?*<|P-;N$dkAP8w1z__&?Hh7?;
zaTE^b^)g*-TH3BUyXI*e&6h5}fBdX{;#qe92Pe#PcTQ(}L@r+nyC>43%!>D%BzDkY
z&~fz9+VY9(c&%vtM39R(Lh|xi3oINFTW4$`?a{k<zEN8ss+g+51J2$?c0TqQvD%yk
zopW$61vMkiA=-l!E70G&cRSZp%%pa7aj}r#0#@RVAXA|j$rpJrt|`#$GLkPfj4pH6
zOvnnq|1PTgGKt1gK}EKD^Wtl`E{5}Y;)KdW1mq-};rwPt_4T67k3g)qr4`_Ib1Qwb
zb#Nz!j_Av&P+mc$PFWb)iM#Frs=^He*ci!#vyi%?v@(+Qg?eGC|Fr*N_g2G>En01H
zR!z3t`Kim~9&K&(_u<}UYaip3por`#tL;*m+VjiVcXc@-m1j;shHOakf+2mUN^21i
zIPLYtp`Hvo?@JvCz~5d0t`W>_SsIDqEkg+F#E<{AeeJ7_k3Gaxmt30u#c6mJd=_%r
zVB8FEJg4M$UbtrHBy4!bQd}S6w)iD=y?{25D6{FYd)V=#Pr>gS6Wd{qx4-{X=(uaU
z!hP?z#UrA#7vL;^Li1+;0NFQ13Xd6T@~m{&bI#qk6!vq%sd!Et(W*ZeS-l^zza_(c
zZz!vmlQ26=W0=27e4?_LQlEJ}ymmJegqRt4G9;P3thV#AEZ>7ZPnsy?THvQ9_dx2o
znPQ$_rr~E>B9L6z#!1_8@7nVRlpXybmxxT!Gumie_hZZoSIP+9?Z&251@iQM<f6jC
zNaTns#t|52`nQnX{osT$m6a0?jRSh{8U3Qs?0sYp!+Fkk)3tu<v&HEpox#5eZsQQY
zLzPkh1gqJi5lN2n6{tN`v<T4luK^l{H(zYgpy<b=E{f&%v9%7L`IBVX<lU8J^@hl6
zHacq@dXKC>u%;G;IUT7X!_?U<{8h_OE=7yJ%stmf%3ViMY(ibz#5~9As<)0AlEtir
z!@#Ts9EW2<$sY^CzR`YqDRqV(vrjoaaq0$;?pA5w+a->Po1*Aa(;A1M=@^1f1;C;t
zsV{txs))tAenJ8Bf`M4S>t{N5y!Yj+cOjlAUu}oi5;5|HoAP{|^@MzohyaizQkuSu
zW#B$HM~!AQ+WuUQpwBw~a&53mvyk>4?V{!g=-yiOuSnp5qULA<($v+laYdZcF#tC7
z<i&Y|9eTKWy|~;Gzze3--VP9AstKV^O_C}s`%hD>=&l3P43Y2}^31~|*rUNzo4c>4
zlBsaF@DimF!BjvOWQ<$Aw`E-{czl_HTr=CEg_A3i@9Z<=<j*|xsC=8^s@Yv}LKB+R
zl7N~q*EIjv?yF7I(a!zk;aNj5aXRqH{Pm5^V$y3qVi$)~s{T>&h4>Sh;O$`U=vy{y
z4BWbLfusw<E}Qty-e{5&p-(LHlK=#MDG?Lt2StZQ^e+0JsCHCtQJd<-mhBTK|LAI=
z%0ig9Gx={yKNyNI_)f3+i{Ryi3C~FhI>#wA&$U4q!pSPsD&d&|fo02n*7ruim#FFt
z_L-{ZU=h{rb2Aa&WIZucwv+%u4&dh5|ClNKPTVCxBk<~T1Z|8Ra6}_pAkh9!P^`t1
zeA}%os6DqSjh^*-OL!=)CwFSxpuFv()M?7fr1Wf~5!wDOa27*n5Jvz;yRuWs>m4xi
zJcqYJir3I}nd{A*;+2tO1{+-uJ_S=e0aE8H<8_y#mA;LNagK!M=^*dHH&R>X8(PQ)
z+1~9I*!sDrw8-G)$7*-MVxuEt8$R6i>Z{_R4aZi2YLNcchaWYvEjEPcZ}+q?WIjqf
zy>GJhsPkK#<0v*R(C83Z-zNyK{L22H#Dv4sq^#NZgJ^^}VaDKpLR$yFVA4DYpZz)+
zJe^?vZF2V4hW|3L!D-z_v_}Xi^JJdRr-sBM1Z;*N-gKvk(^&R~`wv#mQ;zppTQUF1
z;=@nYPC!{%qcYv21^Tfe%`W5;>V~G_`xG|*4IJ{CVT#f4_Nn;)+<0O}%Aj|-*{O>?
z)OltgqW@oS?-|up7j=zNB>^b{0#Zc-N(bp(f`v#G5Tr&>L24+{yF?MBXpkaRqzck|
zk4W!D2vP$G5dwrFHI#e6=l#aLKkmP8yki7GIOpuP_S$RDIoCcG;d4*^k=$qa2{2o(
z+Zof&*uTARvu32xPvDL<r%h-o-<~SE<8)|!&^SoCjJc{p)f-k<OqP)lX0z?>I$)h}
zHV^(O0iv$+YHqyoy_(*rLL#Br`z8p<*QYq}F2j!sv8XfkTtv^@RHZlS?%>}8%d}5?
z-kR(Gi2tQ?WPCxxIQ)%VrT-v%7`X*ix-zZVN!gyy>Gti<Ip$4PCYl3&#tq=wY?FZ5
z0q97sAP?wS*f(upr9UfP;v7z8zdz5?4a4|q&{O09!Xu~mL>A_V#sQ(-hxffU-5H9I
z<KVfNCyQ4W@ddl&{G@~yfIL<KS`AoU%(>-7LkI>sEBp-h!9X@w(Q8fkOkb;Ix8&-d
zvire^=c%e84m!x6{}co5Qs+~Y6D)%M89^h0)}1R;^i)L<NgV=y4q5opyC@^`x2&8}
zhMIlO3Xu9oVYosnNOmr>roAaVE$7(|q~7$?tIQyjYC6B#zYa3E>aUQD_-{Bq@~n{n
z_Z^Czax>2&#V>cNxluBk64R=GgR$W!s<z9gRN6$+cijPJ)c_V(ey=kk-u1T-0=j<#
zEATb}ZJd53hYCRAot}tnT=@N;0w#9q49C6K8R4rTN|qLU6kFoGjUB7~CjRl^nrQ~;
z8`~$_b9aS3ACl{fa@g`kn@hkcEN;J$H?Asy&19a#MoX{V9wF6J0Eq^@tOy09ZK$l7
zf0t)d&JTqAVgNL|?;BMvTuPh*3#Etr2ER3#-z$?9nB^pW-KD2W6H(49AMFP9g?CO<
zp5KR(;y>sAuRr@0i%yT9#At`@{(7%Smq^P=V|B|#sdb?qC)KFECpt@f(zUJ5)U(2=
z<n`>}Ao~~E^*tx4-T1-VSK{U#f#+M<nDa+vKH0Rv&X%$2X*`*j8<gkxGoeOQdrKs>
z{Rl7RVte*#Z-xBxq1;;&=)r*rgZ))XsEiHq-kb+RGOr`@Ycdu!_Fehh6aN#2NL^so
z$JVZTD1O@~f!L}wFtq&LO5FI3##p3=;!b5<uyk?U`dAD@`l~4eJzw?~*^p4)Q`VCG
z+V6pU=cAAM=M+Ed(Rkb--{$QPb$M~%OJa@Oko$S+i^Vs+6nA-2%M}FfQrGim=SRFM
zuJDSf&!C=B1ickMSX3sO0-X%R8t1*0$&1ea!JA5D#oZbklD}4s6?vlEy2HSO%oYjt
z({jBv2+p8xaeTX{J{jxcGvRLDLv@wnt=JE~)X<as^T#0nb#@kjIfe0lGM>ripkFNt
z;)r07CFx@r`|*6BR9*Y^cayqHMkm}ZU>BAWiX8t7MaL@Uhqw1?{%#1zv+f;zI&T&b
z(E>(iWt8{2?lKz8fLd>G@~=(l)gDvt`JwlMBMm1OK)cT~_;&!EaFv@poBweox7(~3
zW>TAOVBXit+xk2VnmcD4Xv^z9p<#eL;^G_+uNS?!LQAEym>&i8DOXMk&1Q3)*Cj6*
zbj0M<>E?z|+5fDj==}Q+VQ%Ax5mpMV?=t>MyznKPXL_#$h6j*B@1Ctxq5hZ6cYO!&
ze);do9I$WTXutH=F1$!x&skkKPu)Lb-#8ceyqP3tIH4Z?g?0oPgk*LXyQtMlwd5C;
zY{5Wl3>;UrE<_Cem619IiPnd2p-F^d-pG-+)DIrAF-MToFQbgG_iENzZk~|3+&l2y
zzwqsdBhfQ9tnl2^)Bo$Hs=pX?ak)<L<*?hgI9gm6vk-FZd7&;B#F?N~)3R0SFJ61I
zee3=nZ<euchMrpI`tC9CV+#RYC=Y$-v{``0SS<=LG*Qgm#L~|-22lw$(`yp09AW-}
zg6A|WJM2<?BUuC4)Wasjyf+h1uO1j+uYTrgu>swEJHq?%sxtkG4XJz2o*n5fRdn!C
z`uCmm*ToI0`z7%z7hk`#+B!h9Ugad)ED!$2k3CH~cZ%KATpPIJ?^Vlae$eS96mvv}
zS|Y6-9f~G|p7fN=?6ko=9;g}m^k#zp3)Oo6Vp*XTtI4r%C+q9;8X;yG%R1O{bVUY{
zozL!tMa^N$)W}G5ULisg)wdQq$<v%SC@~=cc#xrgR*;!fel?Z4HYk)2vF1Bf#Z=z@
zCc<?u9$uhAClNAEJ>rb)DNCx?<av{m96U=-w;nM4$o;AXUF>Y|BK%Fe7cu&vtPoAB
zw}AtQ%6@^<qmGf-iLNkJo{{5%5&g9)e=Ylh2?h2s^AqQ$M8Cx*+DFCufAI9Cz~s8N
z$;t}&>B#w9UimBY$!KTB23MQfB4_Wi1i#oGLRY}AxfgLWUF|;!N`yM~&)dn1`t)tZ
zd#O{6o}wS=$k$)@%&<+(IiaMqtS{ysIW7;uk`x8+D?y@u^1;UMp;|TaVDBX2x3aHn
z>)`!ew^CnstSi(H%1rQTqOv~xYkcgey!Xkto8qkIe3ji5Bun0j;tSOre-XziA9G(R
z2#M~RznE4C2)XCkWZb~k^6c#_ewNoUn>G0IZE}~pvkQE7zk4m}9c{E)TzSL8^dG>Z
zU?;Uwd}I{YAlY3K{9)}<KbtXC+4lY9tg0ne>rtthT-88m6WH~F3Xm@I=O?Iuev%ZU
z=lhfim+g7eXg0mDsnJ_>mL!${Fx)_G6mW$)miL$TRzhYsV)Gy^p*Wp-^WtanoawP<
zZ!te|;59ACxcZw1S7Fx)KPNfpgS`#kZVqOJYJae_2VOx=a+L&jN6qkeD#OUQyJ3;E
zwp%h(V9Bla=tGwov3E59V3(za{>|vDm*!*M);PbN@~aeBjGk<zzaIPTBi?U^R9IE$
z5vNva-!8<t&JO2c9e-5ln}ge_V&eTBeBW09U&1lBxf&37iqjb0=nnIK#=aGX`VH4|
z&j>JHfNDJjb!}(4&gwsF2XF>`S(Gc_y@ss9F90Q*+t?BsA>JbqzY)%Y%;{fJIt$5c
zpyO1X>R-Pq3Eu;0K566cR3@*D(p#mlAz5?z^G+EPLlx(6xYbVbbS9~hpo;cENeQ3f
z!{*dZ#Mk=0mwcLwH|?%!k8Bt*Y7+T>(|;xslK{oT=W}l`hvM@dv1Dwp*qdi^S?0&m
ze|{fk7p9IgzWRx5`5l7-z!+B(Ox~wFDylW3m?xSr?qOUWe#LFccQ52|J?_j_P{l&*
zgkkP$9<_`fyy0fn2Y#06P{wKoH>yW%f9L?#Z<p*mz!cwKXMUl~`6t+^d1mfRoL8-x
z0aBt7GI%SdzR&JxK~*XFd4=s}A4PPCI8z>86n|T+(npi<JbZ$5?6X!`YTH~~NMCH$
z+y@9R&r_|dB5|kQqtzNW+t}QEzBCg6<pb-6>OL@k*eZCErDcBnX2MS7&J8;)YHCxF
z5J^Q!Ru|K@sliA`=M&h?EHuq8Jnq+L5)9YHRLOGk@xaRM?RUDjrO_83dr%1b1mYwV
z>vr{Sir&PfFT5f3FGWc?x*d!^6wFR-ea2Wy*d(caUvLcolSDl)A^_cmo$$E|_KljW
zr;*CsZ4gFH0y<LuUIqMYk+~(d<Z0cPbr7I6rUq1a@7k^l2VVBRynmOVUgUo{iJN2z
zdMN$aRY2I`mo}R8LBdCRn|IBxvdIglg<wCvNFA^3#a8c5Gsb$q(28ZSp72VNjT*7e
z;^S|SB?IKrSr5+@lC+_Jc{_D4*r=y~GcL$cqcZC{T4SFq3Sz_E%4AO=z=;mLAsb}o
zvRpHMs*`PspiQx0g1Q`g%Pe$66+M>xd2q~qD#90(Kw^9Qt==I#)GrM}+js_Ernpa*
zVZt{D6UDd~BCM)|f*-)_QRa5++4%_yGMENw{d3bjkJ)KMdw3|hMXG6h5|7kC<pP+Q
zRN7t=d){8sB@+3Y>-1XW{OVKH=As!z<Vk6-TyAL9kvG+3pGpWHOMlyEM?$OC`SkXP
zB`a4n;GvL^zaT6K^ypU>;rn6?{dd*iEVcd4X5m6YUVi{x4M^_87Th9`2`dVcZRRiw
ztX)1LRKz%cyk0B`_pRdBrUO*)!;m$Q-7x+JCrbZY_@hmAfZ`K<J?|a^|C@UzrLz+|
z-*C{DLqBY(z2FE55`Y5;B&V^?AwLaoAY)?hF4MfagHdA!yWH1?NiRI^$>`pbF5Sb^
z)#rGtwzl`?7w2BSm1fXIx>)-h7vb9a-uu(XA31`Wp1?xI5o=|!iq>wbdS*V#XxPVQ
zdjIF?;*06QvtJu#OL8_no}@3`?QsAd7wRh>USQliqoO8UCZES7JdoglZheP<M;`D7
z(6|*czx(Z$QJ08Zrq~_G-i(t<nEksUZ@ibeTLa8r(E0p*Sn`eXF}?PH+R??0i+aev
zrEXkPQ?!dr3-V+yg1u#sUm3*0;;6n4H(x=QTaq==0b1o{|F<0^L>t-JSASi{J;j)(
zmiePlnTS(2?Z~di+ae!$vVIrkr+*AO0r1D{OpJf6uf4w4W5yr%)gwFp-f9%|i;^Xe
zs6SxRF7B((EG_@}$yuA6N=**(eyly;|7Kf-Wb1z5RV9mvgIPy8oY??l5w~oYGcZAI
z|5cdz6a-b?xb{-?jnK@D71{u;`($($dPM$21v#KLa<68!DMT4R>=i8iOLLg546Yw!
z%Kp>>^v$gK#R03JSB3Mu;u<<<wbIz^v~&>x2Uc>T<pg5sdv^c)Nt={T_oB5vb%yfC
z;Xb>s>!Y-+%%*d?_Z1BR&-&_L^y3mh`!a=cng7MHHi0VJ!UKdH31%KH@P(}#J>F7c
zE()$A15$(Kv4L!=JRR{B4ifD@dZJ3InxC^QeKYa&g>Dr;tAD~VCgWN5W^LBN)XY9d
zDe$3>Z6JWr(|rbx%vtpK|FD*scc2;Xd(8%2Eh9IrvDa^VAc-g>z~k5+I5oD7JzbMF
z_LoA5(jg_o8#EbDRQlrL5&QcQdl#5w(JiCzZp7ti9TrQp4v^hYrb3LQok)ReRsA-O
z3J9}{s(QeKQ!%d2jPtnbDRf$tfs~sBfP$pwk@p%M<H}v#7sfhWQ`Ls<mwVtWjyv^~
zZLhks6j>^LeGDgZyC4A4c3{S?P~*kp$#J@dN&lIxP(eiM-&j76QM;YC5N}==vJm}9
zCFZxMgK5k`KOG!_ZMph?OLP)P{%0qj+7#&4q%uKTx~2P+8k2HC8uyHq@aDNLKv(m=
z?mzwH5gl?l?BesEsCy41#mMf=H|Og8!4PiNzNhewm+Ks|*nQG5O!eq?UxRd10t(Xn
zc7qTSAlT7Yn=M{z6-X3&8d*)&OuI_;lS=MJ&eU+p?pDyRyN-`;YyVh_(!4rz36xH<
z0_N0->_J&?L4W8LDLIO}iZv{DtH0ZcwS3EKN#C1kp1!X~maZAzY!9%b>3??-?nkMw
z1!%V?F|QdA15IP0Azf%FXtprw0PmF|nP^M9Bp>=|WU^Tsz83@Vq1pU}6U=Wh@tB;n
z&c7tK>NOcMg@-53W3doB^K)S5%{VcLWX=%Fx-qJXpJ_Z3?s0-nuecej9WgzT$tr)+
zX4@S;*JQpavteDEs_OQ*B|&O_#tPpEfSet&y$HB00C2O4o>kf_VbuaKapgXo2>mam
zB+TgVqyaPTI?K5FCz7=w?biKY6^{)t0RM>Uiy`5itzv%++KhjHtDvYVCm*03MY|Sl
z?(GX8X_iD^5Pw)8W3LZVY@&)PWAk0akv!xEu#t4eo?L}p#dRpJz>=nFSdFTSdsAZX
z3(E?nuLXsl?nE}zWVLSe$vecS&Rj=nBu<S5GKsT#OTp%+#^RHb0EZPjHj(5DJ@SV5
zeCbH}uH+y-aHTgzEq`)sQ@*=vVKl2v{k+z!BD$!@k|O+bDIYif=qcStWtE~CX@Nx&
zRH#6<FV)JT(M+2$ztFqZ@jQy<Eg$GU$>@7U(s|yJMP)25K=pbPXiog*;v1DfSf<s;
z!K@vkW@k&Dmo<>l${F%abjg5ysT!DTeq=`_`I!}m=X9B!TW>eNe<p*#>WRF>29Z9+
zt1rg0p$R*d-4WNVh~Rl)X-u@Eo__v(?0Y-FZTMR|m~|BJx=Fuo*%Krfx4N2aA7G}&
zl?f{t0p`GJ!1f%m`)?`}2Ar0XmQLE05rM=bjYLW%k7qqO14sK`coIm~zYJbDT4<0?
z$o){Fz-t0d8IwkwObF>{h4WBa2Fg0yjlW#?ny6n_*0G{-xxYJ+`OmZ@AKSg{p!l39
zBog?iAqPWp6Rki^AXn`HhzV`bISQqIGmzRk*jq?=QsR=NqF*y@eBg!QX415<VVcFB
z<>kMc<Hbj5enB9zc&U3*L0d_-7%@{7$@YCK>wT6I-g=LF$mZ3&{zhd)-(}o-m!$oK
zrtFSq<Hz4BqzrQ$jeH1#LcQL_ELD;f*8b(yN+qqlB`QS=VP<{kzKzU$CV9B@J(V<R
zY6~#tL9Bzr>6M$LG%-!bJ<=8!gW)X<<BKVP{v`9r0|;N-MVtQrH(5Frqx)6^B^6kE
zrtGK9j(J9CTy2di=Ox($Uxf}|JYs=N2K!>in-ZE2N#06^FjhEneo5qux*W1kf>EMS
zqVPX%8D(8cD<lrCLSRi7%$dU-SZCZ8BZ;ClD~sQSXYq7Tu2Sek+zw6#SQAhE8PG`O
zm8DYzVdls0ycJ|jP{EB@q&b+Cvi3UbcMf*4S6@o5CcJR*l2+5Z^Dty5I+$Vm+O{Bw
zy5XC*-_J+JQ<S{(Zn}>j4pI#=+*Z3SN&}%LdsRXKO%xy5IdRqbC7oK-q&@JG{~$0e
zH!ba}0`6yVzHiG$GCVz&B+E4#6QW-yP||*YkjM5W(cH}e?;!_nWhquOI-oZ4nKk?#
zcwrO*e*^}Qm$URWQ+cmNzMQ{^-Slq3yuYpR_~iI)T0zuy#b~bfq|zSta!<~>3)pU}
zZ8(-AUB+SPr~rn7$Lklt-8K?V2Uo2F0l!OWbOvzH9rQ!6&#ew$J0%qQC>1n_97{Cl
z)N^~2j#HqF8H^ql-w4^f0Y%+*ll<E___dR-FqNg>OwM~!v1uzTJ1oVAZ8MWduDtkT
zl5;)#3%T9%kRr>LS8%3~O;?VxVB^}{#?!C|vAc(S%TKJX-Qt4?^e8uW%}(Cn<xP#m
z+sTLg>aLxTA8@gD7;W*Pp-SL(Te4cX@W2duSW00On**n&Y3~bqIpDz3V3!4m=j|#U
zpFw;IzrQZ?vbMO3BcfvVTVVHp$jZFYZ56D33J)&!=XsDGPDA{QmY1Asog7=8l;!5<
zqFLsCpEJ14bKRR4H3o&DEK_p2NFiO(Ts(@}ga@%mebWhtu2spv$$mCJk@d+xvQ&G@
zjqM@d|2~o^^nnX4#K8!f8X7&>7Qxbj4mitO)wWj}*s;I1+=EmR@^eLy*Uw6he6d9z
z6pYPqc9{c6?c7{)v0e3+-=-aVrrt-bAz#~$pH}X9g%D7v)!G*)qKin59@s$+#=>vD
zLXlp<_PM012C71){0t!V==?2*cz)~k{)Z*$fG;c8dvBbwZuIQ;-O(5bDL>`vmnZG_
z;YkS)P6-gys$)Y1(e*u;4P{y<_#dIh?CltFvm#;z3R~CEO|pM08#k=46p`M%v5eDr
zcXFJMxVjc}%C2aD%4&VJq5ai&v!u>7H>;UM<AHGA<&iQ0#l8!^!Dd_AzxYGDq)A|?
zl%dtB^0kzL)a{B9+?xR6VThW(XU~9i%9Rv_xzxT$CbFv*w}`!d`un_kNpj*=32y>`
zJvaHcGw7RZD<b#F0f{(W|0G>>P+qu>Kvq!5U#pwXA2m<juIn4L0pC{L;F8;HR=84`
zwLW<~G0>d)v3loYY{4PXk8pg<_3d+Uu@)R|H)bj3^x-2_jP9H=Np_m6YT-&CRms72
zfidBJx5rv<p)a1-_Be2C{s5zPs9Vl5&@5h?G{Uc)v@u9a+@T%B82k3Di|N3p4JNL?
z4zl#^Oo$O-TXLuuOFQk&zsw}s<Yzg%(#W#sBvn&$3O5*!k_y0%@ikUgG445O%GCJ8
zC=*X_X#a8=`*Lt9;X<2!Fuf|7KDBq)<SO=UT~$sbL5xxZrrW<~ra<iR>NQn5eZ#yf
zqFlQfRnC&`|F=qryUuH_;dQ8=h1=1E&=KH3b@^Xw@xS0Fhc5l2{XP@R>d++Nc@#5U
z`UfrLprrxblPM>}X?Ho%a#nWpH7h(N7G-XTx9T-LIw(g~G(0o6!{#IhNiGT;9(GG2
zlyeetWqh1aIUS@~3*KM$EqGzW<L7{jM`weYoF90@hE0xf|Ju(775>i!#ko}WZu)yr
zL&Bh2!XH&=7S%LnFLu$P4K;j&J2H;^*c#}TR3(#)A$Bi6UKr`JYkB2{68)1pKJZOB
z<nDGz;LTVeLG2g|H|(-H%VVwBzq2SQc{zdHQ)P!u|HrLY^#bQ=!3OJTnCiN(B#gr+
z4)DVc@ZwB5IYC>q!E5o|ac_jg-!RH+Fl-R@JvIpJ6oKMr)k>NO`u^?i_7#m&OT+rI
z8*{gThKaOIV~hirS173>@dBsZa@L%j5)MQDMos&Bt}y+khL^i0vW9TY<s>jc@W!z$
zncw^PbyFD+DjSic0g~I)u&+m<ya5yP#)>$*TzYZ2BL4?=pQY%BpFSYZekxeXmj&Aj
zhiEsKwll#-ru9*=aKXJ>4g)6}fxfrWAm#(I&hmdERf~s!oEV8t0d^q0n=0Gn`E--Z
z?&hGZU7t*LHFUYdW!+yx1*~;}`wded{f%jGI#DL&C0WYLiz)k7a;~KQ&KX@6cGDg`
zB1}a$6MBlT!*nQ$D7mS+AxC0avbkWIcG{0s=DwXKvxVz^cs1K&VHj$Uw3%1SZ&2O&
zVTH}K&!D_e0=NHCa;(&}YRJ3bj^OVMn!eA;c+8LIktUSWJ(~0?c+ISA^$<8oK}ZMV
z@OC>NQ`N~DudRr~jrG~ag~-L@E=@Cj7qX3d2Hh>@tkZ`&s87|sD(-59PvU#m%}QT(
zA*UIKgD$X;545>Y-9!23R5u@eT2c9*`Ce5Ww5Yr2y12%)@9M3)0rltioAn(`Xnus}
z{+nRwD+_abOs2}$kbWWLKJT%Y{%+&*-B0P?MuA={%_}^}2BbLN*bu52J<$Y2%q(~L
zcE4g!aRDg||Jq%JY?(MOI{@{)@-dKRK$Rk(U@m2WSD6!apLbeZILYWlDrGCI=uIIn
za87>{YY5mb>15+kvG3^6bo6~wvp!QPRZ2@!-_B19^<3}j2q#2Bvx@deK!~5$jE^mD
zKMoQ_oqLwp#^pJ`H@C_fOiwz(D^ER~`Q!n$ZSkAGm1u~D=KCU&{#&)cS^|NsxkdmW
z*-txxl$X38RVkJSf^8SpDH7RauO5g*5+VNU&GpQ=XXHYZ&-sdZ$!+U88pC^hA*Eg#
zlKcZLl<`t&1C+8K?))!t;c4nQwA_MXe#~9vo&!DP+%T52<?uck5P$jH=d48i?elHp
zP{q?l>0__NDSBH~kP^xA@!Zbqunfd!Ki&uW+wt6PIW)!qep+<voYi^=<jyQpYvhnJ
z1zY@xU)12INB^P^Ln5|rkGHFW(pLyN=M;6t?!U`nN$6jSukWm9WzHRtYIq`t>E5q0
z$2OZW2CDv&;3U@wVKvxaal4sHdt+v#QuCavsEj<X_k*T7`H%dh1LzxR{Lh>bQD%Qr
zVI|gK?^m@wuW2ooh(N%=*FaR@)EP_ie~L5ukgRlDV|~nJl?I*a`mR5nq@aq*6B!p1
z?HGA>p;XmBekZHqX(v9O=SAUc?qP^(`+1(#M}rkl5+Iguyd>mpcfJLJzyz%+0rHcb
zPb~Fvfj0r~2{|vV=o}Ke*L7qYY*xqh`fN}NHB-KvC3l>C+Hd|N4A08DcTNPI{WeRY
z`z({>{F<nTXSm_{k9LvgJ$3$vryu{Z0>B^GGtb86{I|nw(nXV`8p9eBR$*N0HMlfC
zev;KXd{HQ1hN$+4kdP2NlAvQeyk|Q4F7W@$LPnf5-!E`Lrh(MX|H}JU)c@6g+e@;}
zE0wJ1<vj3Ctf}Vuh9~wI%|T+*pCVscTwFXg3ZSPVBN&Wv-SO@uj+94p<R$+GD|S9D
zEzMmNcvI-<nwvMOVr<h(8>U|!SH}h9Jyx8YoD`D<QS?*olK3w0!@576J>98#+Vgo*
z4r{hu9lbbsob<7{oLr4RP>h+E{2iDne!o5k@^upEFH>B$-Jz6=Wl|22_Toh?f~OLy
zqRO<=e$*8>UttD-!MlZu8_GUHx}>1P*6c1^fn-{!Hyh{WAJEig?EsH-*AM<AX}h~$
zDi5PRJUn~=6g?@4uK51_dtY(wQc{O|SggGJ($R%+rtt;fY338DH~H+=aD*fP<+eGq
z6;#d6m>C?FH+<~z$c^<XWq$;G;L0faY#>ITpA*j{#bg?&-*u)`J&RkZn?2Q$rgzT9
ziT$4)pdh~l0}pN&E+{K2>$Zz|v8TR0yI1<hx$$VAo{<MjX&a9!s93ciL-rRd9@3nd
ziN5;6SqIW~04+!(<;U&u!M28kifZQXTTlZAnI&AB%;#IMv$tp4EUThwuXbh%_JE)v
ztF%bg*++RAbO+U527z(IMm|bu!%gtsNjb@_Vg!!1lJmj=JaIVDb1}|XXW8>2szQ{F
zjjg6SH<#*35H@mU0fuUj(KZN9z9)aK<M5C>7YrmS`D}%v-O+(zoNk>tqa8qNyGXM2
zm%E3e&!(Hc#Q7w#o@;p>3PgC+;?7ew@CLjEVS@U}`cy3kr|+K(xHjq;0z20u)_fFS
zbU_fPwB6hPtWMIlKRFoQfzUKu`ol%hO=6eC?LGR)cv}2$2sS+N6nKJifl;Ap3Z#ov
znoiYNG{LL>aHW8UeFqH~<<i-3IRjDdu!5NO2(sJS@qlvNH?L768B&<QB5E#ILtL-t
z0qo=h8UgAGS0#m;H2UsT@q6*vX`d9G9ZB-P@bQ?vhhC}CUUw7j%VQ-xbUkg$<T9j+
zti+uifdjtjp$G)VW9l4aJmf``X(UFZF|7n$@)>HaRnwQ#LmbtmUvAE%)dWrbc{3vM
zBY=+TA&e1M9f;+H&J(9aQl7HAKsFY}gD!7CN<cscU%t*P42=(201lqTJr&liaQn}f
z>CfB`t_XMXQ9IRTL>a1bZ))5hxMx`8Cu|r!_HOS_&FSzET|T+OCMR7^?cN>}TE?UO
z3YC9GSE(q4jp0tZdG7IuljV6D08m-?@~@CjMI@H@^L}avZ=!Y33BjZhObzML$71Zu
zPwo%ZeZ+G0D5PSiuU4y)=8zF?G&CDv#gKaem9)W=SCY`FV6E_lzYKz2s?<tMljeHT
z?a#1YXx5P9kc3Nuf&bJOKuWj>c!Q1i`^!g1O`R{HU#eM{8m48(=ADdknHrd=Cw`v}
zZt6-$!?|K;Ne~V$P2uRpZ=bM*iwoxq!>~f9Jm8txxspke+lmLSLXsksXi^mBFTtiu
z*=}|epJuF#pCBp3(N^eU_Q;)U8!>2I1(wu*_F(u!#xS1+K63Ar3*=5%!Z8+FcCOUq
ztAI<cTg}WAfOx{;l)~2yNqC^gs=K0Z7t&ap)5%iErf9xVIA2h?v)}1|-Ha4|T}ydW
zDdWL*szm#}xXje1=w-A&R;OhiZu?SvCUd@4w1{b7484pLph%0E<U(UY0`h`X{XiJM
zOB=Q=0W}<Q?+$6AY4_@qMztu#khTeAss$6xkoD&D!$<3DCFdRpuwSPhvBQebQ74MG
zq-xC^h~AIV8<YNQD@Mfn{JLh0Bj+I3Wr^H$Sh>MBYk)hNrIP6jfD6UzSaz@=TWy*M
z#)@o+%)4WBh<Q^wu|M^fc{fdp2@;e6VSW~U_Wa+?zTBcGRJ##ve;*n(Cn$dZpLOre
zqMIQ2TPz4%X%rx{TWrjm^a+-yGaXfeeiW{ES)Ov7)muEevgC76JX<4DuhNgssx%+@
zzClsgOPNQMZNZ~fhLzl`UCuY85j<LhGf*uZ|BA2qsJG+Gz2RnW{FY93#uq$8>wbI)
zGVuJXSDQY`wDdU5V$kdEs-L2`&@L?4&JdL#;DQF38<!`+HrCS}BxS3EY@AP>ozj}Q
z|7X!=k6%WUUo1>9zu+IXF?5n@r=%KqgViKi=lMif!l+yt-#vo}9ED1Fx5rO6Kc&Dc
zl}z~@OgS(%9qZCK{QiT`(l;E4MhXJy<~SFvb>3pjxEENw=yPAg_!4-`pC_u_J@^o)
zCFouLbDU3pe&3Y&Y~LTH|5JFCE7Hdy;UO_|OP49%>K$Was@4WHF;tq8?whNyW+WZS
z0?i>p-BsUZd#ZG8rM2X9KU<&ul7c>T6!Af))lBTW-xDQI+tgBrPw|TI#)D)g=&%%}
zXWtr6AMU;G2A$p~9^dyFgl*g4)ciy4IK?KbWL)vNvI{i^i^@j=j@g!$M3th7&oFtN
z%KyUtT_qLreOatRl3ByI50+RxESccD%tcn4o*eS=s(v<1TUDh}8nI46Ac5}+{BunU
zE4Evq<5p@-v>AAtz_R?Tp>m1^4yQSK`~I8L(v@b>y&YwbiEP7}`v-S6G~mV`xLe%u
zd`JBU%r3MpkPPVFN&aqu8ysWy`FxSk8M=Q2NDVvv7;AW);p8&cdg+Oz(D}XV$YqX+
zN_pO|H9kyEet1s5lK#?=Da>fIu_F_la2>+)PRSC-_Htd}WbiX0cV1*mwuPB8fiZ29
zD)^Smb>3QEc`ND|`$=3=plDNkzGb-`YZ-p_7RENKxS$jAhTn<9=jPr{57<EaOzCKk
zrUtm)F>YO^9E7)AV9=I$`-5QkCDa!$CYI}yi4UZoGgha|NQ_~{=Y!w3e#^BSE{(;M
zmW9iRH+XZ@M(SlBTVb0Q9wR9G`3);XdClRLDy}L5&P)q3D$XX^jyYol@9RDml~M}u
zO8-}0#X1+R0Uo}v=PUrM@Dwok1ou*$I7RHxp`$nPjUd=?F8Fe_-J|*sTe<snnxURM
zEI(I%dq_Qa;(2Yx<{L>M3FoPbFAE6?XXu$0;EqPWGcBij-o|vOOVq*Z!T2^zvxL-F
z3xwhgOi)FULrogLRwn6&fW6p-8$hvN&(pfcR3zu|_7MeFIr^rP0`8nz3G(2JWoX9>
zD+f)tI`$R9yQN4g8#4P#hZ>@FS|{^wZP)_ux=vnbGG<z`?SE#V>8RyCVrYnO_o&35
zwqh*4_7+TOka3FNnmg-H2h}rckBW{8j=3Z#!%<0eIXaAB?>J?FdjU31__be0D_;A#
zua>r*t>`{@MDTXvtIzSYAtNi15=oe$aPP2%UsIR^ij!DFmfJ*?!qbznHN1UWr6EfM
zQS6CP=<Y&DI>VA=Jm8eaG|%E}b}l|_GBPG3{o?AKMD@#1%K0~FMR0hHFu37!yPSzM
z&KZptI6)j(px<ro^C9g>%3=rzN^{Vvb|RH0BtX2WpEB^yV<j3WnLGc6AGX8eFlN`|
zBH(Oh=u@EHo(5mF)WoC3+gjT;iD4lf_N_adF5)hdR&^1yZXJFh#w1~kEDi-l8z)cv
zxx(=)6<(JD>3l=Xf(eZIN!zMo$)sWAJt008Z_iH!g23>fv_bA@nesxiT`{&?U{wfc
zIwrAF2wTXX;5Ni@>N4cN7K@k-YG|)*Vu(qF<LZ3fp0WfSopvg?nu8pZh)qUu>o3gj
z=guoDtT$J**Q6IoI#(%cZw5?})s%-z=-cbgNlf7eBSYPvYQ1p32<n<1!M7&Qibj<h
z*C%ece{ecbDJZD&EIt!$t|$nd_n+>irAMji`-w-iXn2Sk^wqK@lycF$g|neKPyRt-
zxd%T$D#~Cfp|^??q+@+Cj5%(A%W%bJkK-tw_(5;EN*&3i5hjt{KSz;x#f#oNbKE~A
zComFI-tYWFOWsb{p^HOoK?B>aEzB1QH+oC!8$O?AB3EVuz<cveY&{PI3F+5CgmP1f
z=${@@$OO>#rj0@T5rsF>rP+vK{zPfccSbw0{mX=0%fQ{L#ho$v^RybE{{Oc=_-d!%
zQFMzl)h%fBHS^iFr!S9&$}Y_*7?H=;bG{qX&Al`egjn{x3X}&Vy-w5J2E+@y>9@sP
zpw;A8c$JZO4%vGhJlc(}22T%=-i=OnOi#5bqsfcN)5wfS_sC{1%uqnMB8fZbz2N)7
zacFJyjSv{^;o1drx^E=$<hdh2iU8BR5BKNV^cZ)rs;+8y@xPYYKjD8*_O6br6Qq#j
z5|t1=w0Xbh9ulun`l|ZM0r3%nXc6i<1J$6wa6Faxq1$i+jaf-qFnQAPs)-={XPfoO
zgH-plOOtCe&=g#&3c)TT=Df>>eewLJy68x0`~x!2tWQ`c?UO)lgnOiRNQhj!1)2jC
zK1Gp8>aXAhya+~e#=z|<7p)`1K)J|9LCvYpSVKG*`CyjWn>C}%Q^5r`<>mbS!1HZK
z(71JqnI4Rr*rjkjELjSkd=P!^jB*}Q_+%p1DH=R8_M3qDDbpb*u*;Jr2TRfI9V>`0
zv{iq@?^O^*75`Ats@`krG&BF$VE!a<>}W6ZPM*2tFPmOWM=8C1=D)4=u<wFDlyUJR
zFj6gA8!{af2nU4^*hZ<{Q=e3s$;JM1_hj6GTpacEms+P;uE~oeOzuQghP{EpA>6vR
zqv_~L=KP6Q^%cU@_-TUEE+D%e_U(^(1vnBaK5XVD-XUpqgq)MioZ{$H3B%86v<cdX
zGGI5OZ2TvldIEx!zh}%OxVLpGV#%<V&e}YiSW+{hj(j#M7V?8_=9L!MYJEtT%=nTD
zdsBqokoTpzB>Zupi(%yEJbOp}LON6<Z&owUx#7ybUhHPI`)PsG-NY~t`MDDd?L@eT
z+~p}{^av7v6n4R><I<9^1#Ls&%D79q`c7jST`$!-#PCzvP;XmgS?;_;txob$X`E9U
z?(M!WX@+S{JiHadjjgOb{^fVQa42`I=?e1hlrvf2m}z3r9)7=$XU$mTEUODxbw;)x
zg>Xm>1qxwL%+pOLftXG=rX&4}XW3G#w?E}v=5HVP+m3#!Dt^e3eX1Y0?NM%&p!c4=
zi^VUf$y#K3Owdzo*Q?DS?PCbRWj$y~+2b%UU7W|U{&E96;+S1ztQziEje5V@$Fc6-
zIg1wofmi)!i;XISUcF~Hu?bCl_glzYj1Tg~n3SGj9oHnKlS0tVwy(;g-Y+*?%5u7K
zX*TxV_QnM#<5th~&NV-pxIK-TtePN?N9HDvw&I;ylM;@<5hQzE|4scd7?u7(r{{GJ
zeb~_yUGFvFhK~#?NvQ!xij;JDL(O;c4Et0f(sVDZrQz$1qnb>H*MTr<r54Ta8X1mU
z8F3`d!&A>AK4Md0dFxYA@1F^^ZRRqdUedRp&`h$azB^@vj;_n2d*=6<K%*VMc7kf2
z9L>!HfksD6lHY;5su``+iW|XQKepYSOtm+hlkxQrQ$3A4WO6ZbGE+FcV@r8@Z}~RZ
zQ0`MA0ux@H=KretMSa}+aWRyh$u~y<E6Y{kA=S8zv`$8JF+#H6uGV|kc~FKZe;iaB
zzy!WLC}5>Ch1@vVSDV_~F`uk%4@gbiU2K;d>rfOwTl@gyRk&d`wS34wVX2Y*psH@=
zmZVsf&#MWZ%yhNvFI%lO2=)!FDKGo)H73KNd|G$)dPHkw5c#hDHSQZaHw*=GkiQ*;
z7H|t<b?vJr!a{O0;l!YS0dE?I0c^f97E4(pw5wc&-H)8wpRAS$%*4HK#=z~Y8|L`E
zZAoS+ce7CMMK7VcZ!qRSHNag<V2^fKu-C&+16966x)PIQ325F)fBQtG+T^#xs>8;V
z#^(I$+&p1A*|d!lGo4Lh#bsQZyP??nf9@P=Ey!m$HyT@f;-{VJ3FiG}AQt}d6m&8P
z>RS9LuB<jRm4A?B(U|o#KJm~h>S^lZXCehk$|Y@^<@-QJVu@*0#y-2E>#6KORH;R(
z1k2Cx%qxVbfCK}@aDOeOKrfD`wkyhEM}E(p603Kj4CfF0Q$1sYRRrVyj85v0r4-j(
zK3IP2X+OBD`n0~lfpaoh9Jh0oS3Zzioz=J}$NE#;WHnQU_0bh<>3FU$d;GOuKbbX?
z9mUSQU4>;AqkPm7Pv6q4mR$qGa$D(igMyRJ^A}qyCW4oPE1$vYlQ~ipli|Bv>>a??
zWS0yG8Zx?BZkwe}mU%n$xld}n@^Vde*X@jIzB^i~Gj-~ihKc)`{zF<dN?j2=(^Y#i
z3R^<zWu)kvY!t-LDTS?C7HfmQBQ9B+s;&7o^KNK3ZVR;p;InTXw|_7!s?Q^9_~0q%
zZDzr_7Wd7>$xJGDtNdqr)wS)?@sk*l_Ol37`Y0WU2*)Ue7927u$F_K~gG6`DE?1w_
zJnyO&E`5w}&6W%fbDQOXYV1o5=dHN=_)jAb-^GoV`K$)X^JY{@X5^R2RzLT}{FzRn
z!gF$T23Q;q?E+PIn#TtqktQEH@SG0q53n7Z_!T>L&#pFC0A|op4pWul*?L=lvq^_f
zYgup251Dns6C6ac4ji?LVm^_uvQh{ZV_b(782xT4+UsBj4Uh<`>h|3v1;F^vWpZZW
z;#?r~eefvWAQ-{Gh?#w1Jr%xL`N^jRz+1C;&tmE^D*9H8FVC;A3~&d`HJPn?)3rdS
zX_Saq#<L|=Ocm!@#rcMJ*+jF#Kyk6jOsGyGV?K@FSK+NV2FAxfB*tx;b!JZ8LftF<
z=(o!#t505M80bF(&(eH7a^)?K9mp8lpWea%dyz*&OyD>iN$$fV?pm<7RN(Q9jCJP?
zjcNhM%MA)mDu&ggdW0LokzUMmF$@fhLt@vpnzs<htepqg{rw$3fwVG6`6K_z^9{Sm
znR?!oXX*;vcGT&S$vz%&QM+PvvR{DBK@d0*CK&MVBVQZEO)HIMf&FRd$vuazpIpGp
zzyVMI6$$Jk?ML!Gr%QyJ=x`^e0!{0~So0qyokH$rk(CL0AE<dh?1^pSgGBydx^RQx
zcRX@|D6&prGbR0<r%9-5S^n>P?tjK^X*~W+kL~lA(9XS;yN*&=+meAmTo5*YnE58#
zF)LrWFXSC@l)yquZQC(sNs++O%CJL4AkNR)Q8W6k_~~#&>REVp)K`E1dM@w=92xU<
zR_iguAy8>|R?5=b4guY<|M0EM_2E0$=Ob5?w6YINCZwRRtz}=%pV(f0ADajNeh@9w
zF(5>4+g7X_T})(RY#Lx-L|1-W8_2M5U%=BK@dG`^W6sl0QXE4X?@vT7wCwvbw>9H!
zM*lufN?)2MB5nQH)S2+V{C`xU*6bc7U;D+AzW#0UAINT}{ODTmLXtj=`*Q8IDziJp
zAdqr+cf%KxTe85xkwk<bo1&SV5MQsFX%Ahk4DqL&CE`+rZ2QwtW-;O2#;JWCgzJ&;
z$u>><8*y6~nZQB{#~bUX7Os(+)X@ly#pA*CYYw0K+!h=k<h5&q2_e@~z3KX<@Iw_s
zao$Ag2_@#3S)I-DJ~1Otz2s8Ij~olf($Ra2OX1FoCymlos@d(Os}n&cmCa$@UtF11
zA{*^QXTEB;pQojvDrOE?cthN*Lp?bzF_sH#m_b_v;5(Bv4P<g3OKuzOT(hk=fQ=dI
zc8JGqJUsdWc^qF+f6+TqJX<~f>N@32+Pk%T_QsTBn&{|U)ObUZ9_*90N6F=ktxadF
zX<Y)AYyCJZV*q;}-Q$i+gC$<W*4N7XfNem%Sp-VNWo;U%f9oiP88J2JGN7Vn9m@hL
zdxC!<Yi-JFQA{n{3enwv8Dk!rh<}@K6x_4DwDCYNe5MQ8J$~YSq&8-bq;DzjWtk{Q
zAW;$VD!QHrd0b5r$h}t_xhZ=q&E+(nwe_d^BJMC?Gl`!ehaP6)zVgQYlx^}jKm753
z3%pq|FXZ8g)<TRXLTx|q<wR?|uDH&1e<@{37Usy~H|Dd|hFm>2)~a&#kBu9r)m*dT
zjTFMjtj9x@N@^P37I*d-8wO8~2NcV6(rK=kO3P1C5ES#<n`^^W0L-+I-@BaRcXhHO
zyzrClrXrNACM`CZ&Gt&0JEU0&vyN532|PT=)G2hL+{nLBYNHbqu+lfz2><S5q<=uJ
z{z3SIYJC@Q^5R)wHD)GziBUk3LmC2kJ9BS8@2C+;-G&3ZH&~Kz_7C38et_OF6x>|V
z7IX1;+*48)0u{u1CSS@Y;o*h&As`S@hewxe*!jG9wYE2up_PmFSR-t?A!F*a&IS~}
z*BrkFf;BZW2&xy8FFpLKv}X9qOG!O;(>-ZbHU%d>0iL;nl=lqM@a8T6?fs>LKH5mO
zI|_^KWkG(WbG`;Kr2@mIX+pg8Q!2uim>ND!g9!=WUik>Pkcnq^J+6+y9X@1of~)6^
zS%8)9)`)S){wbG_>&E&1ON&841bL>L>n1~(A5Shlijykqzjo9+fIr_00WE*p)`vuP
z8%@(?U0`Y$K77iUaqC#@XK^<WTBBC%y*%szb|U}!JRVcW{yJ-C8V4G=#i^t5_rF;g
zd9FkOSW(8aedt+7{%?IUZKPccszd*L*0CIz@JGz3y+zE5b_^9&9?U#I{glpjK1=6-
z6y`oaA|DA&a#@7G)NVxAI8zO&r8cAi7eSEw?fJm>BHAkQekyKYn^#SqPR2jBEO}Y(
zVhzQ<=Bn2X7lo3$91<0ZGe+ovU|dLju#d+?(}xYhoTpRk85RSyTLMVbcdf6Fa{qRr
zh@jOOlt8AbpkyOk=zuZ!or-jruI_Qo+g^HjL}*t>zo9(lE*KG`q;r&r_H0j9)1XMd
zqk(M}3=Dc1Rn>@g!&a~?{Odn<X&O-Yd#{&Iz6po>Kc#B#Hp4J}!B6ZkOMI_)_Pr8E
zvGM`U46OuC4h)<Ma#EXpjm|*lAcMpnY~saQ1CP;27Hd1(h6AMPokdlvqq|UP#7=Is
zE+53Z!;P=*e1uFpo`XMy0&ysKX6YMH*;Wcd-SQ74&e!Jq=H1QxDv{`Vsolx1Yn@3P
z2nmP4ZY+A-b787!ZN6z*kvRrZD4B95wS%#nRgv^la$oh2JP?IGn*5vZNo2~OCz<IT
zto3hBc95mrXW;GHk}4qsjut0XP@P?V){^qMnbL?+r9XhQ#4M`H<k4)017|Xs5}DH7
zJbel_p2^dTe@LSNM_z||-w+^{kzaawZ7SK6CS>ucX7Kgk<fo2aWIP%Br+uciwx0kr
z>vllAOL{-KO#VnyXC&L+sK><W<w?%;Nz6(>&uqH>svpzbae!Nq#n3f}AM)^m0rDq|
za{)e2l`ygB*XT6qiK@e+8P=zYwODVF$qr09D`)eqrl!W%61-DE!M3KWK>oq-e$sJo
zJP1giLl<&I+&>>7yE{J%umOr~?q)?~p8b`|pLHe)xQS_t+-XK=S%s<M<zmH4D66|T
zg^c_FaE&OppZe%YddIQf@7<UfVjxU|VpQRN{Gh|GuYw1nY`o|?WRG1rR;ys|B6gb6
zDV?nU^A7clkafB?bu^qkrdhbUc$63)<VjO7A=X)m|LJbO=R>jzJ+>`-UgV@WK<M;#
z4E%oJATPRmVEuh_^~y<J*JjRQyZJbjb1m9S&}!w4zy2`|66sw<xQ=Yy$f9fgw=zk6
ziC}CP2?_CDWinj)H3gDWT@ONLTz;qQ8dR9y(R+ZTo^@>CZi(1cjSQHDXX+M!XTV6o
z4%?7lNTe<_@&5KGGNOUm8&GNqpqWbHRT@9P{?v(n4y#{P>5aq;tLMd=bI0^K%$>Dz
zt8|*OA$lXl7sMkQB*X3JQ>3f7=cxWfd|j1s{Oazn$c*rj0EbqK-y)?0x%QmNI(!e4
z{*589H8?hnt4{URSyQ41?QJi6uR5TYkQC48Gs*&0HX_EWruY1T5ZlQOBgvY`wx`Qy
zXk^>5a;&&P4qbE^+l4{(E5~>wl7_mylNnE(h>$sMr~AOZdf`zAy}cxGTs<%$vK~JA
zh*joaCkXvX=qo>{nrfQs{XVIl_qjl4Mhy?1`C*+N07MGhG3iDN<D#46h_Ai8ev}SI
z^GmUwia*(IBsXu*uy>d?rWp~mRjN!4_@0eMQ7!FOx(}4?b>=!$h>_9{`@X8alb7QE
zN}6zRf5Dq5D{nM(W}+emii<B-<SVz8u0kRVu*upfesY8Z&y+i^*&Dg@_*9QWW8+)&
zWV8H`oXMdTZ$(DIZ7Oh3q<lm-am}=4K*@EM3Z&X06#NdncYdZU#IEq+M{MKG_1UV=
za2dWI0<{5s5N|(lc)?vH#4@mG<|DwF*cb9ols)KvR9mR(T=3P9|Mc7EQz|yo)Oxij
z8IxgWpH#Ur3LG;3_%0B(`o*^GPQI$KDYePAQ`{5wi)nZ@p`wWgTY|Q~=UlXy66Br2
z<4npYssJ0EPA77-4t>S_?B6EYAE*f;O8b7Zs{xwRd#$(e=pye!-^(RJ8LyQ2dNrps
z!u4v8>;zR2qpD(sZ0p|cpgkeY*7VzXUuNPrniNyt|4F?S$@XtmQOLjfomf!QoJS^F
z@KRZ<y7=KMFR~2AqP#5tjM&JpOv3hABPuK&4hG#T>bpTb0c_VC@U5<o9LudnPfRf*
zT|gs@UIri{J7Rj*9B^sR10t3Lj&Dq8ZaA|Lk8Pc29r7$5&h!WLtm`(mO?`GB_?n6%
zjUy^ns-+xMtu^5k1qv!un%e@?V~$V0s=HPw%rLi<_oV%hgIX)WGiEqCzE!eiLJDP9
z3NN0s;A@-S{;3aL{LA+bF)Z!=JXTg!G{J@7xKci-hYi_L;f}aNw{_56=T+0m4C%vo
zP`F9({g9xjQkGw({iUh%_<VkA?m|C<tW>}FollnHHjTuwoADgMKm;aRjx^n|e)gjl
z5$e<`lQghAv~TKQ8fO2)XTZyJ_x=Y5)71okSuH)UWHpH9&++}EK*^R04o!C_OR|&O
ziJ>Myuyd|%$ts;Y1a7tx%QLK8RP{`2$Atf^vh`Qy-k034E*cODjxwV!&uQD-`6F|f
z241E0e_!G<ah3Pi<G&JwHPAbqN0SlnkB)g-I(~Cp`LD8#_w65P#0Ljmxu*p0k5c{s
zyq>KP=@%<I0mvo?5|m?2-8oq+op8#tFd`Gn2Q%1ytzFyX0zO@VSyO0X?QY&w0DT<J
z1oFJ^AmiV_*X6v3cyk5$+lJad@xidCATKzHafxTGaAglSj*uLC`C!%Sg1G!ThptAR
zXr{Y?l-9Lgnj}V+xQWOIP#Y!QO<(GbmHa@e4i(nlyKAg_BF|pv-)MFj3q{u6FBj~x
z2&S4Zy`I#NrZbc5nM3gcm*&JgNl!+|*|Ho5?O%!`mLt?ScOtJtz&sRmF$+KQRh)25
z(sinzbd+;Fb6+G<C~?H3QaVBxm3MDJ=e@SgCp~Aj3D<k&{oK?X@2Y6kEUnV>#9ANy
zYQ7SN`Llfw`}hfs;P%agdEo7mJpxvA(+xbWY_r1|oB2^x+}DLU6EGabxY$R;747M>
z4L%@GS^+#X3E_*k=)frQL8Co9Z)m-Kb3Dh8<xBodKcDd1pWzf@NC-YcVKevQ@t<85
zi7G!ZIK821{G?{8N!ZRy*{ZbAbOEltrYkX4civ2<h{7330M;{IOQURhKm=O`i?y8;
zfZQ|2^1nFanrLr)S7gKq`EoM^wi{he5u>c?1qSSZ>&o7M*xSO+T95vRsW<ypN3K>e
zd)r0@vbH`YzI@SOZ_9Xc)u7Rv2kGOV4ml#~k?HUq&1JlBcKgr08jF3Wu{sPXChq}{
zI_@zsBJOU#ioOo<Ue7{-dIpl~9vz+7wfv;ST*_As$Ne#U#oBU|*TJwf@2`?ZaBgXF
zDbF*M)42-qHZu77wpZv9W39l(VU1XN1qW3MLkBlW;C+ph%i0f(Un-~8$^L-dl<^zb
z@+23%0lAhAf&7K*XcPhMs+W$tGYy1rmA<oYVzFG|+oOKm4EamC6wWsq?x*t`ekA-z
z8ps^QVVqxi-O4E2iDnzQ)$+w&@#nGu*)B=by?w7|(sT5rvTgXutk3X=ud1gvw>+bt
zHdkT2p^v4UugqDVM801=J46pa_Si6vC_O+AlRAIR;XGvc|J9nE_t5!G|6TXL_Oq1R
bi7J_T%%1wEP9Qazgame1=S~sy$*cbdg(E)E

literal 90569
zcmd?QbySpH6gN7|NViCL2qGX1EiI^Ys&o$_42_iJD5Z2GDX)Y|cf-&irF1upbmtJ?
zgTC)~V|{DgzwTY@TbBhqYo3|soPBou_HXZV=7WZsJRu$p9tZ>?R8)AX1p;Auf<O>+
z94z3@bYj*XaKSQHmVXLdfuD1^dVk=8>!hIP3IfrG-2P!it?pZbKujRTr%zsbrfto7
zdm6n;zu7;XLbI($Bql1qz{44;2r^gv_RoVz&z4`BRt*Fjp0rezgb$J^@WqzZ4~L%w
z$^Llu`6Ye2rhG@Q=syCH2ee!tKWgdY1sT_vq&V3iWF31Zy|1oCaV1sNQ?ga#GET1E
zW*n}hHID0}>rcI=P%Ck6V_1r@Z2zzSPBq)#nL>z%)I~R{@Z@X`5nXx)bkco?Z+mkC
zb8kNh%6cRNT*qz27~k)IVgnh7XWmeIsxqR(vDH9oU@LH!n*$e!7^4~@4feyeqei}k
zi}@3cR8sfBC0};UCY<X2UBu8MTWppRbCO7Mu_$uH^u+`!yiBT5QW(rg^;sX@+j+GP
zig=tn{`PBRJ=bn2u<n<mv45tvVT6Lug!iK4j6#9C*;gSL#cYaNgHs4b5Mx$_L|c{&
zeYDmEoe-8M$4~7s)Lql5g~UmY%6O}qorubR)%RT%{bT%89)mb3;-<L%@mz-PKW1OI
z{>}poI>O<GoQE`ngh7L#8{9NZf=#<aVWk#5ai<?l;W`FYH(lw|V5f&pkQ^sh){=W?
zbUB}je1B!`@q&1<i@-Zu5_7{ye+UYUef-nW0_FVCuGz}LJE-dvt?O~$@c}LR(<~MC
zL+pln??w?Vu`Y2B7nOO~U&(AlRI={9K7PYme2i2Ms7|u?-ew9Pmvkz~x<|FUl?!9s
zXgfa<x)i56^X2UdL((ZRo7Kkn{vJO*(`2;W=|RkPPSJZWy*+g=^o_dzXUObXCqeN6
znSvuvj5Dpt%?$7yg05KN5^eI9__~h4`q*W_7x#uJN07Cu7-LSS{+O{~ueixBZPqB#
zRNZj*`c6Yr*I$EaN#9Yz(AB}IWH^H>!RxV<dbu0u&IH7<v=hLS2!`S++4_DY8u2R~
zHU<_5kamZQ_;H|S4bCVh{Isn}lQF|LXLLZhS}D%@etp$1skk_&Z&2wY75Q@}!q?Uw
zt_70LjcBsH3kK!C(_J||oPPH$FQ8PiLK$&mhW?zd#U%c7*^T%{7((X3zc$!AHTP3a
z{I}$#x6m}UKcQp=zKpWow6>C&$*Hgr8v6pvu<d~nsz|JBd(HD!B_a#Ql8Jxg=i;}4
z9e(cInDVsTgj8t$y>6l-&)K%-s3ZP0(JJC?Jjsepo=bF6nX}ZdUMN12%yK)=ZMr$H
zwHb7oZMQ{CgiQXw5BQoZN8{m_H?H|}mmkxy%OH}*r+bbs89OgE_0Y?2Uk@9cRoB{u
z|MC@GJ3peM*!i}%J5=U;6G86?s^U6nKi+XfZvKg{SBM=GcpRJJdq=h$C&C5y&tHgr
zui+$Jn>$b?5v$F9|0GF&Md{96{&zz|*q|r~?Zr=2Vi{`KV=?*a*mB{Y0o2Wt^<bED
zKonGW-1|YK9^s$ZsnFS6&wmrkX0sPR7;iY+B^5=m<T+b769nZrf?Ynsj+bn%j`Gdm
z_V#OkL|0y1H}<~q^WiZu;#4yQD)|#@^DS`)^mOe{=zhn;YKUcfmFI)gwF#d-_*76|
zZ`YzhSI&XE=eE!{FfIc2??N_n7@Z_-Hi|Uf`i|Bp-$DYL&F=(%@}{gP-$=Ul{kqgT
zd|1^nF!d_x*YHKrEWQ58<u4;qD@VL|@T`Y>(=|oTXAkwDdOpwFRn&_7aYC(E&V<H_
zvB7ifRfTbAyo(d;iR#;R&@0-c&(Af~Zk@lsqH6Aat|amsESk36JTM>k;ztJWykfo4
zIl)Wp%UJuxo$-KX>%rjv#;yJ%ARyz=qw_~O#ToJo6~<GMTyR>%I8m!-<?NKt*CZ%$
zb_Ij|)}`LCT>Z&_FxT6On_|nZ%h$YJDx9-)1^HLK4=dKEJUn<|ZX)0_SG^nfM0qb{
z>%->kbmiRq{|xM;#u)pS5&gFrJ;@+xGc;4tf9`Ay>fE*HV@#^NdQQCk`E+l$(sJ1@
zSFpF7<Hm68g!AFx!WJHOnB-Qmg<wu<q+5h9wYT5)_-(Y%?(L}mF)!fN6$W=r38!20
zIUe*k(2vzNgXoB7T2Gh_)e&1VQR9-An|Pr4o~q)5y!bKAE7fXuG7p!z#vp%;nuu)(
z^0b_%L@gi*JiqJSSAEK7>{TBHY4gycMLt2cS^75pR7NApIEp;{A#+!&|HTkiyG51n
zs;_laKa$+CSpA#e1Sm>};rfc^Y+fpSn!IFN#c`1ldB;?aF^ZCN_N*X}y2^1kOWhl_
zjGmqH&oZbt*PEVW@YPeV;<ybaj)mFGx&J^A*+AeKobkSp5XrVMYdLKN*kW~YUR~To
zC*{iEI(anYa9jBdJ0}PHV;s4??hF;b(f0$-)Wuy(Z;Um0Bd0UFWH1{bZnt>ye`rYX
zb1;Mv;(%49b&+!E4=JBKd39cEhhGp$6}Vp);;(@>G^b>9HL9&tZlD870)-s!8=`5h
zpV)M+aUnJXyv3ucG0t9DUxgg)C*wMaIkE1MOb@!u89?TW>O4@l@IoI7J6Ww+4PN@6
zDw^#F#(z%G>Y30gy=~xgi^$mzSJH#-D}I+cM$(FB&O_{`dOLx5k7Xmg3juulyE0);
zak__IO;QBMzqtyXvl!nxR*gaSz}J#NX)`twV~$9oud4W0b@|~cHI|D+b5rx~;eT_w
zw>e#SkQEPOJ4>`R`)2;loI!^FJc-TTD905gtg+#xSHDGAK?OWHqX0I=x4*2ElsOwn
z&y*LQF1$9SDxo-|-y>5h=Mo`q@%#(L|6l*lW+o4=11V0$X&2~fX6CMYV+;viy^@n_
zlaw=xV|(>}G+!q(73CGn*7LC^j$>Y8<XAyVNVnEybskJ6hcl@1iGOuIxQ;<_=sJsU
z1XE!s<K=^Uk#~yjghDegsrHn#7~81~WO0J1md8PW&Nouk14)dr3+@nj-dB9jLcIb0
zn<Us2>pKH<{$2a`_*<6o=fx||TSNVM@m=c{3;(=$nREO2pBLYhsP~lq-quRs2cYlI
z?d*q^NUndMd-dagkAYuNZGbCwLt~KT@)46|kE!X0ve~WloOOklyogNp?QmA)j57bO
zuA&&aFd7i5PAAz^Bm9^>nlU~)Qt1O{X|#ReWF1uM?UBI#dJ1-HOa3_6`78Wim7I`c
zHB1>XOC1jd7e1qjC5Z~n?htGzB&m+pco5B)Hl7_~4VC7rQWJ~5K<~H-|7!q2J_655
z1M|(1B)k5PFW?KIk;#&=>=KL^2R|p7ydE-B$5f-_Ne@z%roM#jEqu=^(EDqPDIL!^
zq3yDolM>Pnw#=7gajXZ)bD8Yxhvd^Sj(9;O?12`tG_hZnFOnjuxAgxdPrfl2#qN`1
zb`$L~Qc}TNHnLTgc@c*bn%ryl%zRD0aF;Wtga?1Ex;+fY)f=1g#?W{LX`WcHtBjTi
zv<9zZ;L;HUN*ZSTtEfSNh0!8B<~3FYbA`BxUr9tkf-7u#@)Xon<{cF&l188ZQz-B`
zhi{5<Tk2@;_xD5{h(}rfokty*C*QoUbxq>EZ0x;@p)8G1W}a-JAet(tnU7Na7yoK^
zL;zxZ`~YtMdT@#+W8KDItx4*6M(=@-p-CrvHxvd-Z2Xzg;l}*4_*3)0KJ0FR%uoNu
zJhZG|J4hicl`+O{Z<9i&rSNrnQYI)Ro5Y+S!}Fi2N8WZwuKz432UyVZ_*mVJZ5dI(
z>d!s+I5(P|^`UV1dWl3>T&(PCW%v+w+eAnP{fgFqD%HvyQ%iXJ=Jy76`B-qBpoN}%
zr*dqxW50PBf+~ztF(u?OAVrWihTKb{w;X%8jnPnY<o>^;5RC^h-cB6SuY>Q*o^{8g
zY&Sm+lEl5oF?-1r*%zy;B9OroyoE5wAtn^RY>_we{x^JSM6nuP{WCGPck<>kCDVgg
zVfjl4@gRO%CcYD#->iSL{xmEmx?0E%GeeQ1fV#QuT0SqL7vJC}hGb6O;!QvY!t+_O
z)4Zd*wz|*J-lA9kUQ}l{HbjMEWwSfZ<i5>WlAv;8oRyHlfoy5wnMBCUjfyH$uRiTm
zxwhC4F8sNB1;gP*{7Ng1KZcoPdohQB*jmUJ#;LokieqByyEtar0Z9<z=dG4DR~wGo
z+)Q(&>|><oma%L)!Tb4%9*&un!WDAgGA6{%vlSXdTT_|rSlTn$v(6^@u3I?XifJbj
z-Q<(BdgJU1JtYD&fc!G<wY^#l9gWi28W;Ap$Z$*{mlI`0?%ydRX&a(CH;yGht9><T
za<(2f`fK-x)<}c<vMae0V@@x^;d7*5uj*MLuTaT30>ZC|lD6v!;nm*~Rr8o;7CLq`
zi$@Bgl5n_abKV0XDKRf|<IvtvIy&Q-?xzcV5@FV|CzD4%v70n%iDCyzi)Vy=BtU0A
z+B)dO8uO`5m;u^DZo$a%Di?F9d95%mDrhuw$6D2T)yq$NY-(@vO>4@IP{M}ZG@m%f
zBW_xI!5BR+ZXZzq0QgmEcE8a_>QG%@f%4?Cx5VhN>5?dy8qV6G#kkA6H&^by8EL`~
z2dfI0124*GKD3XMdHOO`r-6NHhR**5-2~6L%7>)j=5VLCbHe9o2rAy^u@Y+{5LSdE
zTf1D`g^=Ri;3yU+shIq?TRNdP#G;}|^*D1;iEk!xYzAV%T_khZD@fGxR8QWK)9?6h
zOK5wuTGbl@^^I{h#Y8p4o)gag=y}bFI7@>Bb6Wg}dV%7`_`TTf&46$cX>vv>mo3nE
z{M{P%yYq2@i(g`a>0;egaGc2axT6*Y$crJ|y|C-CY~RhAY(Ld0uZGeXPps%w=($&T
z_Nwne!xeYvF^Pl9P$VwzNqz+EAW%fEAwLAp{&#J!RtV-El6I>57}$9?kS|ffR_gG|
zJ<+Hh#o{~0G_W&YF|%X&DjwewA66%~F)=T?_CcUB#Vg?-DfZIAvB;q(w#R5Pu}hD~
zZjI0jO~NQHdh=Vs(>lwq-`{?^%*Cy=aFLAJg^Z7<=a99n9nBb2gf1<ty$?_KdE6cr
z*0y0xbZN^3|H#}_ui-zhI$b3(Lcy5sZpB?u%(~cyJfB5pla2YfcL{j^)>{bCo6a62
zX-j&YDoDO#py|Fu2vTJ3!wr!bsVbcJr4<{rK_C8$M{gHzm({w&vPZZ8Vn~%R^XTez
zRpTP0Yu2?fnr2(C@w2`%$LXJbH)20@(RKsr2B*=Dt9;KFe6H`0Bzj_{AKojLS@a;N
zemZO~RjYQt8&SkbFTF-NTOGuzU4Wgz=3;vKsfKs#2=JnTF|`ZZv8fVvxc!8_KCC7y
zo$3)rH;%mhxKywSWToSh6*@388B6n5G_6dkJ?#$zwD0;MOzm>+-bkukaJFJi_0qK*
z<BZwt<n~2O;n#}#dr!N(K~yhh%pPMh;hQOT5gEYCBDHQP^R^xQbr1SM%<Aq01|G$^
zKaS(=9$bkEy_t`x6q<=f^%Mr~X`0^EP_|K>r>VO(>Hzq@8b`r3XCN(N5M@s*j4C9&
z`BW*C#+aGRFZtYEH281Q7@>vCZItqGt1SI&c7z@|;R^>0_?mg<{B%JnE4ODjY*%&J
zZk%dSI&VV-KJ<YZ6l2devLA`_0WO|PHWmoP9|?r<tL_sfWsU+rM=gR7vbM)E;xW7{
zUVhedV|$)<sYl<h$5{S2UG`Nf9MA#q%nt#Hupk8tu$e{2RTRBc!BRb4t8J*o;}-$g
z?h`ldP;4DK-u71{-3z*=A=Ks2*fo0<$iiggal)Wg0HKSj7mg!XfrSxoc^BOlxyt93
zx5`j@;cQA;^58kxJ}$Cf(Jx8fA;NxGKICGR)}#9Qzgdtm*pL0I`=BPVJtjX(M8a57
zKVI9M@i&9m5EBfx_OORM#L;nn73R&!m(l?wt<tYHk|d$)#Q}n?nX+xZ01)xlTkXM>
zf+5kJ^oj1FaAMjgL8)cOY<J87q?e5LhbVMcGt{Gx|ITLPZw6rGQk#6_wyyX(Z+TTP
z?T_jZ88#PI89$jCu_FI<s(`Zv&9;w)aRWGkyV`VnC9nJg_M8G=999Lxm*30N<B$NJ
z**m6|@hm*)<(7!q@h$=#D!5iiI3HOUM}!f&KOzf6**0@9BgWIE4#=C0M%tAWmP=fw
zsKvUPlN|X@h0qwbB70F`_2+YV;YB07@bt^orKz6XaQiMg8rb^0akv0{X-bhp_Vq(T
zV;^%S+xR~|F?8J$P_495>9!e1;`d~QaQ5`RMdm+(VIJB|LcYRq`_S`}lzxO0Yv9Ln
zML8z*p(Pt6#ln`4ZohyYT&_<(h$qk!!t7Vq<yU&f4j#Pg>96L=4?N{Hy-W`vf`(kU
zNx>(l`6UdAt8|*J6d(-!a0}Rml0%Lb8w!~Rr)kP0oQPwbk(T6}Y{J1L{%Kt+AAmQw
zMr*PpiOq2Nz)L!<0HDx^()?uy75;n+g?BL=J_ZWJ@z57fn9Z9JOT@Ns<&ZQzThKFo
z5s(_o)+F}L#MdYa#&Cg5VGCvrH6)b4tqAGv_v)KZ32)vVVnEZMEVSXa5px9NBXVT0
zBvf(c)y&gAF}Tl5Z(mcN4w{bLYh5zen(<+2w_1o9DqS)nkxmL+?0UAeoq#6v_h4%h
zK@u}pU{E8v5RUBaFNSeX)5SG}{&ISo8;$c$qu7cl-Adb0MWj85Ik22vJ>#-Jt56~K
zd)xO{`C<=dqfg;4a#hYJG{#vKM@?6MB!tP~6hpMtKJj;;;R>->K?46z#lkK1KDlq5
z=KQ?QvNsWHL2%(ck|5xdfHe`^!C@ezLiDd=Dx&Eia~KtFn`6BJwQ@!we{mrD>b<fc
z!Dp)Fx28|R_m4Zwo%?Pj`GZ|H^J@fi7;lDEMU1qrFOG)Q8NX}&eTr=xJFVq^S)wQl
zzWneiU%OE#(5YQxocUEMNvoz;280AA;dZ<+S}A7;G=zevVB=2%zUAu_X9#6?C}<^g
zANt6mh9OtYu6q$QLL1W|^zIY6Sw(WOSg9C}$D+KQXNg&lWWNhTI}eil8DW>`tnbfa
zzmIT2J6{CX;V6E`Vh$|IJBD`B2A3sX{Sp|IIDCN&&>8aUx=-`3yx)`_zpqweQ#|-U
zwTuBQ{-ynagtS!P9uH8~N>Rct*EN9D{A%fh3Wj$nkF$6vXA}-pj}n8;6tc<GFdu-o
zdl0!vqEq`*MT%)RXxMBX+@gALa4<Tg4(l6Dp?>8?hmZ#>JW3@)!fR4v46vp7==WDf
z@R@?c8#SPCOyJUK0+Gm0EZwBXX16TeCHyyW{a=c~+NW(Gv8$tD6U>>R^Mj5(pPtzJ
z+j*IOZ;41?K8J&TC*>V-8vj-Y*}mZzyP%KIU=mr?AR`-;+`j{2-QK>K1U`(-MBqmM
z@7)vPqW`tM{{L93{_j^^|8FVrv26>&>AXeGDClnxj-+E0SG+hR4q6%|X~s`7!Rc=c
zuKUXn*uI5f6pwsK{6JES6$!#4nI~Gd4XJzh7lv-%d-?0~3v)e9t7mAnj1Pu+plc@M
z#*cpy>=9PO5YeM_upwqR#32}ZL(rqJ@EFJW^=)(f*8QtE3EVJ-<}9z@EGQ#!LZw4g
zd7>F`pfa9Cr`Ji0*qIHKd^kY2e+oilZ89p;&7nO-`62bA;(iSIc)xe6be}S?a}<P8
zeDsg9I#`N$1mgzdu!!@@+-Xu52h@0{AxS;Rlc&!FvN-Lu=y=s33$)G`(teKclRgZo
z2O;?WVK4qPHSuQkrLGLy?7b?B{3Ku3f%5lyc|a%G6lnQ?YA$)1t{IhX*qg8qDOwr^
zoT~UJ_?b=)!k%0s2AFCvmTrQ2=kX<KIr49X%)BEjcQa+pO7$ED8wP_|ocq)9QAHh&
z20*{iHx$07WO$tvEds#|oqrfqzsh(KwyY%WQT4P9P+!{6xw-Fp*KcdAChgnZFddax
z^YcwX#{E1?eAFd-zdZMS_Ndb_X%ZTmREmb8Qk#}<#iFRG3n>QSw5b`x2RxHN;;lG!
z#wtE>O=^ZLou>;pV$6Y(DqC_*WL?L3Nnpy-?qcsxuhOM&KqGPmL6h{}|Cry-G&<p(
zalTysqU+6-W;*xeo1q?8eFt>gyU9UKeKj~C@>_p@&~a3R1PkXq<Dp?)dN1@yXD;Ro
zj4}-ml+k!*`F7MHH270_aRD#8m*it?sdC|wzU0~1j>{i}Syg*0$#NNfKF+SLrFo@*
zgjjJH#V4>NKhToA^58O0v>=EK;l;P1Qgi98fp&e(Xpr(V^@wE8_$^htNTTf0o_#kj
z;%D#HEMVQ8ps-BFujMg-p2vBNXAIMvk4Cx7jf4x~(`)^U3B?kp8{!W2YYl|FRa`;E
z#O_j}>&qsOze;W<<Bhze5s5HRe{H8PlTpr`Yrvo~VEi*WXR(B2Sk4@$jcGGfkvYOb
zuWxF+*x&rkW<^v*f$sis?dItoC(y7s{&AnCLK=_n1{VD$sD3^uEM>8q7$Zr>2WN?y
zWH5+l{{30XfP*CWujp&~K#((ML&@D(C{hhPcfK34qNUJ8d}!VF4uZWi0=WB$y>hej
z+zX`K>U5R61;;>|+h~mB@%eCNrf#*}Vwyn`Pg;4+7uH9Ea(xdg@fAhc+NX$PLOepK
z^493RXiGgkaLn#QO-L8BNT?XhT@3B*7u#(ZZKy>`tbsQ3h(FN9A?6XK@qDrFb*WSH
zJ6|U7)Pir<D*2R{L>l6JKM;awQ??Hy2hZ^`fcJTFQ0vv79aK;kb_rIlcar@n_MoAp
zR74HL2Xfdamw%+~r5Nyf(69HZiAVV$NlhC4QRjHfqhlOZWa4)<Gyljy)Y|#0qRt!p
zC@+S9FW~jS=<E&&Yj|uh4BX?48zdIM7Rb}S=LA+qc{yv@XPuncSPPC5o#6r$?D#$4
z339Fs0TGO#fsnAK9wHA-BGN~7<d4L#mx7SF1KWU@DW_Wc8!N^&PSm_b<MnL>fI|;r
zNfDHi>yFi44LU7u%t{06&c5o6edelPUa~rHV6UhWEF{b$>b6!u`~1i<JZC)ZbfhfE
zm4Y|le<x8l&hev{p9WY6>P7lP>c6u9gPBBuMT4P2Ud9rMX`N}hjE53Wm&9UID9e8O
zO_Y=_M^f#@0dTc}4K%ItQo{Hgy?7&73@h#_DD#HRjx88DG3}iU9d1qMoCu|3IG)oq
zK#`Y+%uSS@*%i-uhs8boyhYS*k*C>x{5aDOh~=3nU++Xav2V^NuLyk^zSchG$e*Q>
zol04mdEPCeW1F~=B^8}UBFis?a8qO;`eEL6HY<t=taH{1$+bN~*oLSZIy`X@@GNiU
z*$yK{=3Q${QHYHX_lra3*6yqgLawoD81YbY2kbbUB@M*P<$x*O&3pctqzBBYN2geQ
zQ$TU>Awm^jE&a{TsGBb}N5nZsbkv5zQXNUF(%r-$BrIX7lbeyEeCb}S6G70Me|iNK
zVzaYe0$et`aasV|Lv3M}pnrS1%0wJbxQPr*B5u74wpdo09y<PM7!Z?*HK(CJC}Mo4
z6wA}#oBeOIlby?Tk{dixEK!grR%|`f9QaVXq%HO?kO1mj7rm78e6uYLRaKLXn|xo&
zySprJ<ujPLx1Gb?rDVT;V8+K)oU6Q#mBGFz2ptJzqa!Q#nQ%8^>7eqm5py`A1rmeX
zO&RS#GqH3&pra?ZI(kVpd0sw!K#)3zVRmPa%I;cqGIHQP%>kupJ1XEsz$)L`FrPPB
zUnXG|){<?q2l@nNY=mv_=#Cm!P&+RTvGYSGtiER21Legfpq#o51Z%D)DG$m1{^~wY
z^CLKnU|LEe!Rk;=<&e~0zwGr%?vF;8e5j&|EOQU%+VnPFDQjm9e{4u{;JzZmhVnFL
zpiIU+IcRPUEKt{z`9r10BR#=-SXBB~U{jSk>2<XG#*%l|8ELm)lfA(qU#N9_Mu>mN
z+JOm3Ea`P9N>&teX<NfXlXIr=2&AMeBxAEZTQ*7GUs-b8OQN>9)qE$`KiG*hkXP=K
zxt$QXAI<%aOKpNR4=4d%Zl|Ok=8O+ssmc$PmZ6Jo;T>01r|<K$$uP!&><p*}-)l?s
zb6%EQY<u9(=dJv*2TV|Q3+ERqobHt$vP2&$3peKe$u$7F{(`t00~V8X!YUrgSC<A!
zlx!b|4l{>iWdu_CRr*fz6&<43LYqUN{Xd1gS$!$n7fBf3c{RTe`*9I*fgKu=&f7#t
z>Dy>PdIRCP0Z-a3I5ORUE7EXX$BDZ+0YrFJO0CMXEz>m=<SOrOZ{R%p%wAALdU8T|
z&Ej(|+?$Ddc%ov#t;4+Lbf?&8@9Fpn8>hr4O&>AUAzVFEx$eXCN0lUUQYmbgS&!}|
zR&_;^t{D0Mp0|Q~JFkZ4CdyT<EOvWS_S?|^cHIi=%uPf?=t?X6+V}ts&3OavZ3{zk
z9UE-({Dfw`ajjfiIzdkrzneM*x0wz5)O>aIKg0>$eI!XdkI*>52QoI|^i9*5dh#i6
zLX^0NfYbdxM~Ib2aH9#$*K$Bf8~wnPCXnLwLL&vyoyg6#IT4)uZr{GuRMtK=!K&8Q
zPp#Gn?Ggrn>Le)Ti1^gVb#Ckys*XNbn^X#O(8@CqMR^_QD!3DP!D0iWJ?JP7`Ks7C
zXA;~-Bx>w_afpF({f|<<#L4d8=M^T(mdUD$R<XC!=fm`TJ=yx0nDF=G6P9>C)O1c$
zEZa9RV6*JXy@d=pns9pcg3D<&a$5dc$O+W0ExIv2y&JZR32t}e+j{%95!%(T+jhCE
zybN$N!tXQ}Bou3Ub!~TX<ZNy+ADcqmv2Nom@N(h6_lsCr9IbTK!lb21<HA5)9_38=
zzUgx|Cj!N^_^t^Gb020l#c(~UgnO-v%u&2OiqG%cWK||x!iL}U9(^jOC@?Df{jO@&
z1fLj8oN=^YOgEC@)=(hJDSwOI53TmUiE}vAj8j(vsL2FK?>#f>R#FKM-f3?0F0)6c
z;3MJ6gKbejZ^D;~Pu2zU^mZ#xkWE%Wt!DWGKatpt{;JYv@!UgQ>~y0}lYX*idRyUf
zN$L8JammbfH1SvbYR5U6DvfZmIJPlV&>PRKP*_}`9INw7HVVboVXxBVAYc=T2%Bta
zaoF1E{I&Z;gh%mfKXr6w(N(*c>3*M{2wnR9R5d)WYVWF?#puo|Xh?f*er9Szk>5G7
zpT_mMlPQmp=;{5&YQPsp`vP>PmaCdDsqiHTVb|7Z-!JS>=rrFNpZU&rHSGODd{+aE
z)Lh0k4@0bExX%lr>@g`AZ+>xgQR3}S9QX!FJhnQtic~yYR5lxi=_Q7%vkt>rYXX02
zvdt0pe6i8?dC0D~PGeza5t~Z}V<1)-mojv<bv=yj=+CiiNaRjw{Gj#I;Dw4X(9$AZ
z?ZUT!jnN&Q!Se>|TwDp;c6H0XZqD6SyuQ`|a%%QthWhK&X}Vs{RnZo?^$<_GlcC;J
zJ2Wr@^s+kTI_sPjpLJM|bO6W6C)@%fF*b0Q+~k3u^?CK0{Y=&iS6BY!4^V%_@EcGX
zI2>yyJjM}~TIOFkfi0T#Z8e+C2^u4Uk!rq@*TH>mcTPA85;Ku@Ztc>~)r@0M%4p<A
zu46<F#;IbOH*hGnR_b*Q+t56Z>yT!%nZb*px+@#n{1Ix!)^L9?Zc(vY8f(3Du##Q_
zyOct9tFC1-_F~LTP~_&r+M31N>51jL2k&9Acgj4q?jBULBa$r5mb(Go3U@guE`#2@
zRY#3yx(24tTWqg9=4q?8i}WYQ-NntROdtj`;KXEFBl33)MNjvQ=M4eJTDd*3HdP(*
z_)aTD=wNF}=5~$rHlB}2o7eVx{S=^9U`lo$sQfY%v+hf(9}ve%C$oU0^7IYg4}N3u
z);C8=VCwn&^Y9zYOCAm4aF7}i0zMq0n1g0!;}AB2iX)~&8^W}h3>m@Yws_}q0t1Z~
z(MreUt=-sh5@>U<3Etj@R<r0kWH0MJts?WI-wOCqYc?}}oQ1k|UV3+zshKTwz`PuM
zcV*4i3ZAuPwGs{hkhY3H*zE1<jgE~*>2NUL@bA@;EY*PA5S~6tH4o|aT$eSig^6iH
zU1ug$$ExfW(IkFUN+Or(I0TT$FoYMb#F*y*d2!JQaKvESh`=*P(pHVj=YTsDrEP3d
zeWr_wTXb3ve8Qs#v!)wVUpF{uMLTL-T4rbxCj<$$6s91mvRH%|xgu%BlQp7PmL
z2lmE1f})!nd}o8}a_~`X+lsRoflf4m-Vf;>Mg+pmLw9?Gt-d5aN{hP}yL1OEg3<Q-
zfnTncFVwDq)RP>M8Y|Jq)+w^8c!6bppveLcb=Jz7*k6=blXu^x#Ze3_XI+ey={NYu
zd?llHF;^HwNwjhPv7PUqsx@iwzUM*_NqI9ne%`9rMX))JKc)}=T}COViDaEyxH%pX
zXx3yn+8KI$VyI+D!Q#jhT)12}mn6y^em__sfZJjb1@!M=Q^nBxibJ1WKVaEJ;gfn6
z95jV7hV(K9oM|asGo100V3z{Dylg*Z{=~u8w%;0v94(fIXxAcV$3z{Ouw=7f1DVY(
z&IUFxfoh{RtOcF)D9UutlUKZ9F(Tk7X_FV8&rm6~G6Gyh%a{vm16@S2E3?X!#sHHa
zmALkyw;z@oa<Q@}+zj=h67{c#rI#;EBzIL~RP)j|FVY(+Q}v})n#w}?gb};XTRG$w
z>=8#EE6zYa5AJ%vQJrpb#vhaF`Y}*Kig>-HlI_deI(PAm`I$lxhhU|O3hZ@g;C*Cl
z(a9i@_sJ`O7aBLzTuFAN>(%YG4mvdFe6rLz;NEKkvU4W$Ue0KUlrXvOukl-LEVyD7
z3s$gL7?~*h2pIYaPgAS{JIYfA_v4#RnwME8{T>I9v=w7K81u6L`1r#|<Qk6#%d6c^
zE|035svTwN&ck-5wS9bd-YzJDvE4HxQmh*YnL5vE4~}h;xKoCeLaUz*9V2Q8%#FI2
ze{1=ko2>}CUp;F|Mm2A4P=3%0^_tQQmsHDMU%&hltw5>Ft>&uzYKIzu9IMzFzk1v?
zCz#>dk#8+%v_A^S54RGmv`harG9>loTMm8A9j2AVuh-!~34xU<;F-hhvA^wfKF;KK
zZ;9Gzl9U7}__0Ik_yMab{g+uzbGD(IL^tax?-}Z$B+{82w9+D9Y+43k;Ww#lJ;l2<
z*O&ET&D$@9-9;IgdX~%l5)*jzMy`UZc&9*g7b6wkVCe_a+G%rMeVKi)ZP!2FGxSh>
zha1R^F@zJ%|1lh8yj5TLD-2;v6Q@6v%}V0kP%Z0-s<!x*rv3St9A#)QA5*Q)Gf(-!
zOLgx00Dv=k8>uDr*@5b%$2%&^TZy!?0|mw@$232Hwn!Gxm)a(mI;XGkk!(L?YQXa(
z@AJQ-iwk|vM--dc8q_>5(B-IR`i4GG?7^6<FhQ)?gArLNf{&*yc^R9&bO78-cgHpy
z91xISE@1EW1e|67eG?JFMSE!Ha4eG2ypK5fSH)+cK(0Bru4Bq;XM-pzrk^p{S4LG2
zcN=?%Y=8KjP+4Fx^~9me<Kww`;gn@;E-EOn0sJ63N-gXh-%Y5^{h;=nBkB~jDK&>x
zp(>6lyGUuUvbCo7vd&B4o;*q+ODUQYbYHy?r{HyXbn-TLHqG;7RRCr|v4;a~;Qe5*
ztLHM2h^n{Z7s;4CxF$JQ^X~%O@BJW<Z{a=%&5L2xa*J2MnIJm7w|4^M7tf`)r)qQ>
zXby-IJ3p!?SoO4<k=Sz1a@G<(kU8JAF(T8ftIEj)J4{zD17&|gA`^%rfdSf=?AuWq
zc;o?f**qfdXKcJQI1~oAlk5<Y-aQ}-s6Vw(MR<C!k;qDTp`&ZF_hI-nu-HC@?#w~i
zYe7<$Qel$FX|s|*8{8hVQsHyUIZfU1VJO<$kE^KuE8*+ZUn5#s*LLkd`z6h#b%g8U
zD&$N72zteXtQ--;y%74&NaycdApn!72T-{2hqM%?A*LZ=(uiC?&I2j@o0<%xrgQyk
zYSX(;3aF5y2$Bp)2Ikw#i-i-}*&=!afLFwlB+Vfu1qO`w2w7Z*N!Lq}+c`#y&7u3T
zGM8fjNp-Z_logL54?J6D+tjVG__gC-|KR<N(n97T)uVT3J3GD4MhKM|C#EtO@8S|N
z|73v8ki`BZ;$|(`9@e9=J&;gSh~2a3qe{4+YAmqI_{gZN4WnARS=nl!Zm~0+n@dx%
zK+$%0w|hEj(m^2>8Y9{u?Q9oHz?;D6A$kq)sPOK|2~;X@o;y2hRdp=8@kOA&ZBW=w
zh`(XiBcMgM_{dacGB}2W2$Cx+fk#DDfITK-h%tk)c#1S%phWu1zMeh?jFo*g89s^M
z<YWG#S3FOoUpjtm?T#scIJQ;;`c5oRVT^l2XHRv|mg7cF)&ZyoSC((5`=?o05pki5
zy<S@N4r>LydD^0e%`>%5JNyf4pxv}z6$|s~XA|Uc>h=zgRNvV+s0ovc<l5XNVqS41
zhTga{&8aBJcS_*qcxQAZXZN_a^Fi6n=%GdTd8IJ<8mfRzb6*2n@!q2P1vRD2a^qMI
zT7Qq$E`waRS*kybLtUbNwNk)}SF}1W<;G{Wi_xgcX<&(aPa)@Ou##b~Zh5eFDRgc?
zGU|<=IJdEg>)0!KSpq>34vq`}`6cWc$f;(hsetUeyFg%UlX=>TGJQ%PSp9?!0#vjV
zp~O!nh9+Or?Mdv(hc*X!ot7G8l>xY%bf3D{TCj4<f`0DI1IR9CtRUGrDqPCE?7r8u
zgsMC%cHEAa3DPDWi(jUVgK>CH!NpUGxHcJVBEvI27UL<U_3Z6-%a<P6tivW4yUIg*
zO{l5o0$;viirqA%$C0uSyBBFk$98?l9w9|2bh}ms3tkrdWEgYH-bY4nol$QDa&$En
z@on~c#9Psa=o+{l&sTWd^T$q$x0vyre-Z`#@-2ubwf@JCo1E$&yLEm85F|vv+DJf1
z`Qz~_8qdo`1vdN+HY8DBpBLu35Qy?WH=O>RaEInFT2kVR4Ms%-`(5Te1vX;}9LnQ;
zS*6%)=9OFJj5lCDssq)4bg>FBgk?N&+abL)O?O&Dn7H5dHbIg^T9Wb-9PR+U?uzul
zgUQNS2B;lcl65+{Ssdw&VAT4kDzLCGbH<K%k@P67zRhm*Y$*b?bbiN=RLMVd4s52_
z7Z>(mR>OYjsH#-FC}>)}w^_(>87N|n$#5J4&x}4-mUjw+MLLk5oIORMcRzx>`W%Tn
z%*PM#q4#GJE!>)$uQpLUjjq4Wn+IfP(-R`&?z;&9P2RMNvhrrZlPdVYbV-Gu94x?N
z+sQ8mU$~Nz_c#1XnIgU3MeoYBIuK9fQ*Z3i*%0><{f$F&O>M2HohZk1S%EzT)Z_VQ
zE3T8BTcWb4SZcsoimjbkw{?JS{Njx))qJg)XuA-Ji;{?2{)){)b@U}gq%P6!`k_(z
zDOSFAp%`#3qCJRYAVtFKKqRD!Me#ckaChVLk$rKoDsVItCTA3N!Yh!X?}y#MuKxIX
z0FEm9T5_X<Of|>ZHFUp9%Z#^o#1;b>ow!Tq7T3+Y=uBnK8v4pNi)nR5LhkAr!~8zI
zxqF(jmrQ*0x|FQVDzPg+#EY6uz0OMk^tg<dP`pmk@+8b*I_lu71Zblsm*3BZ?Ix`L
ze#K=n*c{El87{auSc9q4n`OTXN^wmUD*?{-azBlImg#fxm({O5UKj(&W|Lo6K51Kc
zE~Wv(`c|GMpTS!w*Q5G0@X_gcz%q>O{T_(<QY`GeU(s`aT0gLROmUOrdL3K(Ytf*~
zsMY^@<9Br;t4Kb!!XM~@RG8Fyk`tt2Ue>y{S>c4ds9T&mM~-v$@9}u>?WuJeEG#m%
zSY`$)tG}~K@&x+UaxCpy$dq>aCYzU#k$xbp7|LGLE;uqrS{jJ<;;QnHRoktR$~Mr5
zei#y~C6ikypgI({7UVgTUWIfD;;vpH;<v52n_u5{Hi3A(swY_<#A(2!B6PlkND3io
zq8i%D1S*~f{Y5}0z{%FT)KfR7)Lo*uWcJzyWhnlT{?i;~7N+RqR*XADZ0%&s^?ZoO
z)9Lb`9r~X{HM_4Bz}>yKfgOPg59mU|i8#tWAR-fdU1+!bW}zI(pDcnuHBW3f?=@WM
z0#kyYvnRE7XCf_caFQA+ii&6pHUKtw{Ri1#3#y>Nm1{gzE!kv7Tt=0H7*-%~;<$}O
zMPxz&1mnDvUNFUx?qA%yEdyXxc0ecFhcR02^0H4aDRW3@f*$BsZ3FQGiLu5=9CK6v
zo~Es1SS|N}O?a|8@gq_XxYej%G-p}aTm=huzHte-A&k-C@H&Y+Fb|`zj1%+Tb&{(}
z|JFY>2;N|w(N*|JrsUTDw;~C5WM5np9NgKN;{`C~PY3kz=D~Zks|2v_Qx~j^3KQD_
zgd_6Oo5>HW^}zyDs7|Zpc-u2+EC+7MCKnPrFP;^D3_;o7DVzd#TWydwC2m}OH>^(h
z;n%EvbAo~>V2k6#2->ieme^M9umq1EJM+Cr&LcK(mhY%q>;w3zPu`KwNtl6kMWmM{
zfiqr-%TV2i-G@9ndpDEyhi6~Eqi>drT{&>0Wn?tk@pe9b1d~3)z|}R_HqWo>ur;`{
zwP$vC4aTT!9xL^0e#OsBY6yaFn^Qj9)Phsylee<7+|l5yVb!O2rpSa~6F9xR7WL>R
zDN_S8FJAdb3@odyWq9v?3RPSa$V8v7KzBv9zzmFUXWz{03XGpNfK692@&qZk19wYE
z<~BcC8=ClhJl-Bhj4KiIHnWwUPb+zP+ll&^P3HDRnEJhz+@)Sdd*AD<^fU@yyBAdn
zMfZGX?Y$YcI20X}CWZ5H3f1=RWYSaw;+G#u{XqC*LQLn@$H^Hf%e)hp@%Te0V`%gb
z27Jl#X&MtlLqq9)#<y^}X!M%keOqp6T5b|%<`a=!xp|@~ayk=XV0IwDcc1uDx#hW&
zko^~2jty`)h9BPQpzI2z#vXa{r&<$}NMMjR4~@e|^&USPb-0JtocDQ6NC|=#TxrQ2
zTX5y)XMWrDDlx(08w=hPuNq&R&g>kWpm%On<*AqJiQ0DqG)aGqX^jeM(}bN1P3)YN
zR#$C5^zOJYuGo<v;}0R69TD)}JM$i75PXz2_VYMgh!;YlTJJt__BbNJW8qk@cDFFi
zt=DJJb9!@U)0m9bxzp{G$e~mD9w})IB%a^%8PVHXTC=r?l1(c<6T*y3miC8ELbG>g
z^sz4cBNVXsz}=mr#bM33O3s6+q#CPoPdF#;Dj4B-Wo}35u(7bPqz89pD00FHPCmqI
zB%zIc7di_G=___(zIkKvWAL3=@I6)iVH`1y#55~+`8Wp3W4t@<hEwvb7GJ27$lc&j
zMO#f%HNBD+L_0Dml<|1${d}M_7DZ$Vf1$kP`P{zVVEJr=l%zZnwRHJh=R}v|_DxbX
z+DCBQ)PKjD+{0q^p0s1(RW-_sw>a7DaC1M{<paJUMz8z|h1+!Pa9VmzZ*|pa^rm$h
zYWl}<#<te#=ozQ+gO}-vX4O2L1Jjc;y9mHQ6~vgH&+a7aVm|$BN|>D5;zN`rPb1CV
z4EFpL;iU6hY9_&%k2T=PG#1+`nf97T;|xm!%!$8{*pEIS{}39g&}AJiV$o4xpk2LJ
zlEOYn`*HHQy8%c#Mc>i1lJpzy^m74QxnEPCD^22PF!?6RsIt^0FW<tK^%bavo6bU4
ziB}!&;P6K`i?iiD;I-%*FRU~<A@I=KJnjC$IrqBn$gwb4Xg#40g$u4a#4<AZ$vdhp
zIeC!*W%mAh{6!x4QWDO4#qw`i)xOHFR@EHQ(P^Iyv@U;~CQ847>)|&u0!Av!e1PO)
zai++<B+qRmWQNpEr})42q|{jIOnW&2B`}{f9l(5hCr<>q?l3X~ig9yjG6BDkw%w#;
z1s<k1={wxyX^G|zs~#}j|7Y!<X)*Vl^YU8o+~SufAWI`zp1Q+s)A<sr@KV+d`~u<Z
zUev0)&bUg6ML~w^AuUKxWX8WDVw4U)z}h3pCe(|7F6D&;U#Z&e_en2C2yv~M>R8}<
zo~bN;q2;dyF4j-^jQz!5ck3LbL@kFWN*C3u(?>S7HU)mNj$jYIq=k7*CQG)Q_GxcU
zx5)~-Tl8(d{T-e5k5EhH)2B~YKwoGYShTuE-1xlg54zO9A{2{}@nF#lt&+F^Yeb!6
zEEZTAYgaQ=0*t96x9@zXn(yPS{VSsxy?Z3fq;aKu=Gy8Tr7vhmz{a!n`^mGIe8N7~
zUz=RJ45_(%;JG6nJHdVEe)?B31Z_V(XXl5o9SoaY+;<v)0oq7tHBXa0)90AS2Sq)A
z09?oQwp&l@f%9F`?8&ZYy`ZT-vF2cODLeLo@vJ6Ju>1IbiI^Nj@Gno_d%tZf>yGWj
z;+bb@Byd==*7S&!lyuS`03R0gPfMt25Uo4bJtA-%eY}gPgxON5X=Kpv8=00a8C=i%
zd|vb|_OXDWSPCmI@x>{u?SJ@SxBV<gTbhp(J4_rxv-|N2)2VUJk1TUhToaf=U!00f
zl;HJ}P7AwB6K{pN!Dot6(yRHo^3I+?lB`zm-TaDDZC;LMt!@_KrHi~v<elfZGbAwT
zPP=1pW59)4QB@Ev4O(|?G5pmiCgwVE=AFy!|9h;gR41g~0sqrsxX{gDfBDw_;~L8b
z6#C{v&_iN+m#c7o1N%9(<2t+GAH%+ISCE!$RZFbydsh};!V{{nb+R(|h~tK@j&{<6
zB3HI1Wu;Anlm(Tmo+rA^so$tX9CoY;g{sK_%sR;e6^Cwdbb=l4z$jFtN$rFupfWds
zUh-g_fJQKjK>(%<?#l)YZ;xyWK!r9{P7|o$R$kI$ZSyk*p<la}tM@b$e=7AOd6leD
z1Jj$ja7L^{a##apnafASKU51kjy${9Yh;VIe8SqKwQTXE7nDx5l>A9a_CMIT@?Lx7
z3x`EP8(y4_WMsPJ?{+*A2;Of}q|Hot@sxU}m;=@qF*b!JWY?c6F0kn4_>`BN{Fq=l
z6SRg0Ynh<R4p5H|WZJvxWk{>Y%5r@6QIU4Rz&o(=gq4<G6GU9zqbpSzJbV{LBbN)E
zTWr5npWistl$Ob%0X&<C>ESOXmhG0->}u14wrGFyY(vP&II`Yt?HIF(urDB-gE<!a
znYFAgquMPZX(=%#H%MtyZ$?$d5yXR`3oqd3ji^*JE-Tbk_S~`+O45>W9y<|K@03G#
z@;bNb;@9QJp~>1W1ZzGe{$OD&)O_ILV|dM!yO8y$<mo|(!}ZTYxh{+-^GU3i=AK0G
z=S9hGz3=Neg4?dYV;{^B{17oT<MRL?77AtR?IF~mYm8$qVI7y}1)Ge&bx!p`?>mEr
zedbR(V>hVFC7m+~NjqRUD6bn;A1N#Q+76;>P4UnByCpy<ZaIE;<7B~3{)d%Wn5G+x
z<~waQ{g(OoXZvwDNs+^EyUnpeS|V;tzD`5eAw`a>-2NnPmLc3igX$tIkLvL@2sY8B
zvv;xl(+v^3%d{iiA4OSbe)@8*+*SO(T*bUzERGz=Ns<1(89jP>Si{e(&Wl}<H)$VY
z?hdXAF-vT^#&;AQOCGjvmb=Wu(K^HXg+}%68Bi;N688lpB4SJi@F^RvAMeOwAS!cR
zNSMRZi+7L5f$WgSA;`Usu_lXSghMT!wMSlZpF|&TCn5}3QFn{!xg6O;L`T5mtGXqa
zT;i9F0ci43y057BYc(jdbVU}w{{E*d{LYJr6R{HJe~?PBe$CDy2QKP^|IPw*(Y!zQ
zB`c#7I_f$-(L3)oNZkICbRP(Kp3guq&>;`1LF%>6r_9m9KZIVFTL*mbDA~a}kywxj
zeI;k{3IAm3KA)R+8|pS7)?eC1ze3Ob(E)V?(f-y>bCP?QS1E>ZLGM2MO1hoIV0q~T
zwra-21aTo$ys%O}IQ(0cF3x0l*5eMC&cHx=RLT;7nH5|>%FKRWv+cT2?4YuV5f17E
zStCA-H!DM)Bd9UknaY;dQcY&xj2r1$SmloS>jQJgxC;vA{WgL?l+Xzt_h&AG%Wg^0
zsL-#J(egunkbq#`+3SVm_Q#z9qhqJl)5-pKJH@AU4J;)c8(VG~vJUk#9~t*OI(^ZQ
z{GrRW@Cv4__RB2i>PLM=#}qBVhmKDbo<7Yk*9_2kD)#x?G=g&G!3I`oxpT{$Ye11h
zBrb+Ek6xM3VJEGL<pL7e6&E1z+n1QRR`f131OiMfvmouCB!s4}|La@K-q>Lj_EW3d
zebt8@9B^fC)4WZ#giu<Zi>qAa`1Ju*#$}E21Nk_$stVL+>vUjwF?<3sti6!7AnI^Q
z7FvTXqvav;5UMu$rsFCa-Uo{$2Sch6^8)d)2Uf>pg<*0bRvFuRWUVA%tzf&y7Ap^R
zC#Hf#jv6Ph=UD+gsXfCmCS6}Ra0egGBu`@61|y`gwiNhgF$#hz;k}b3SqI9|Z)u)h
zL*i@L?O)tXclSI4R*=F<u5kRKp)p05nATriee)GJCYC;Y$LKMK2yveuug%^qtqmaG
z7a9#5!t(ZPY;lJS4=y;CCQ}7e9*LY??YDHDG24CL{p2>Pi5>vHxR{T?l<OQ69rr9f
zTYsV6ywf6QoayHKo*D^wUfJ#~qe$;=e`pvN(?Oz!=*xm&y{YFH5I7D$I7n&#kXN&)
z8qi%|WaVg!yHX@Cv;s(&9bqvmc*xhxUI+diwHle=>f%pSyWPlr%T%aK76MbPno^97
z+%lN$@30GkmUm0Ww#q1^EiUiPrx29bGzq1KmrANCZ3VWBlhdctD9>sy?_NxJa?V!<
z?E8jKy3v$;PB%#bBJPRet^TrGH5V$SZ@kh`X!oUQM@Q?ig6c%anHny_Ei+uQC~Q}W
zr^SeFEXpmy1Y~x#W{D0UA+TSY_glgCA1;Jksg?P9+6;QiTh*=6b-w+3>Ed2kroEc?
zd>g@@uVVo8dS6$oaQ~mq2^T&~U9`!90BA5pqc7}azad`g0}2l@{)kr=7*Wh8Km<Ys
zP9q}dvRrk;b_c-`I*4&Zg3L4VLd~aBpHS3TM12;W;pN7c=y~-Eo_j=h#Id@unxgsK
zK*_uBZ+t`Tz~!KZ^XU3qNr#+U)*fjyarSPRCtm-z8B|*LF~=#fV)_HRlVFFP^H(rx
zV)uB2Ah$B#NfUYbVTR+zZd?KG@SsStA;BbtR9A|$SJlQ2(|gJQuSKVOx*mZ4O8*8_
z9$)&6BPF^KwDn<(X1@Hoo@zHI`Pk$re6q3&v*79rly1#C3*Yv;dH%G^cE1oy_1Ed5
z^b<IR>nDV!4C8_%%uC8DxzyHuuFKw;9uN_tCr_~V7D<WdK?X(i(P9|J?Hw!2+&QEC
zJdn?V&5Iv5z9e<$EzZZNpx;y_lctf1$>YRZqM;G*TMJ3_e!pvkXt!CGUZ`;cj^=V(
zubdP%6DX8-8dkVy?;Q4|S>KYY>)el&Es>$p)))ko0kuq<bxSBEVq%lKj$_&(B5!2(
zEy5$%o@#oVZoQn(Hu4xd9#%IvS;!{*fc@q}kXD2uC&o0dA8}mEJF^F8a*{CgCz=}$
zcAjI6`3uQ+xXk#R?%v1wj#4Sj;#s)~aK{*<dQZAOk&S!OQlm6#$4vgekB8+8eVm4t
z#*F0w-YGK{<M0I+BMG$W{A9}0sTxZcZ-!U}gB@!c{T{U(Br=G7jp2jiBQBa5N;kv3
z(u9599LzZ$;6Z*y{N6Wzpg{`Ru|U~^t^TCtUT7Mj>qx&I;5zOC(4xvQUQ8{CdB$`*
zCrV_>$66!~!QeSmyu`ZsU}VT|l^HI_LEVe5+vMDt+qX$8DgmsT3dZi~_x$<#mSHjb
z#<4&$M?l|KM`KXEyow-?wlCq&!Pc33yl<b{G#_XHpW)>Z%E_y|#-u9$exwsOep^Nz
zB$T_N3e(cX2a%5;1yW7s*0e>9LGuslhjg20gkCi+!>f$?nRNw-LO&&Y`OVbSzTM>j
z3PFAOo&`y4Pdd?uXKzU#1&A|FJY9C<C;UlCMQBKzhAn~XL*OGKniPt|X9L;87TJ-c
z`(EBcOPHpOX79EDo49=`xQmwvI?US4e-bAGq>IN2pQeaxt9kriAGBHwx^^CS<mt})
z(R&si?Hx$+8|k!8!`c>$0b(|TbNSBctmT5=tWfAYr`(m%#YA->B4koU)W>VAv+o6z
zfadL0xPXpSciAkq=k*8O_ln<ojNETVRCjv#ly|?-C7B);UsawYK1i2bxAvAIvs!Jm
zgJksm;Joms+VRWZmFIvsR;`Hv-iTcm8QWq2KEnR!{AA7*(G?IOID4lDoa+2!mKO{4
ziHHt^?Mgl=^o@J9T`;FQa^-`DBvB2eZVSVGV->OF!<I|B?-@begJu`!Bt5V5o&o$o
z0sWSHVop*p&+}y&$3D!59;xpw?~Cyhh|dvSKl`k%Xw^^hBOZ|z@gpX?#}=Ynv~7bJ
z;k*BXtM346s`=hdA%xz0ZvxVLkuFsQfftn)AksUbBQ>ETBA_T$z=j2ZfC8Z>NK=}K
zK<EJkL|POnO8Z}4-`~tP-%c`_fn@K!yQe(oIcImv%5eR5fYTg#=a-gcc_R0`!7k<s
zeOvsWzBeUn9l)(eYe~O&DFwVQ0B@cHJ<w9I+tlK}&+z)}89?UHhDJh@ZqL{@J+!f&
z@Z0FwXiJ<l`3<kK^5bZ>10W=PwzuldiBvgwijg#Wm{iC((rq=}2gs$-1$n)$(^S`i
zdU75?4v6Mrw?0lb$+o+F;?g1p0E>Gxja6}7B~c-F!Pp!cq;@FRmd=pCztq6)BdyEc
z7U^7+$_hVzFE#F+_D{#@7WrZI_S<f20T8^bar|U@r#0Vpp!xUiikh)sW_@GVCu-x+
zJHrR!6|dd^oJ^Q6|GA|7(-AeotdSPF?A;Gd<7cDAb`1AV8EgWR1~Lh!F4%MWuD4Rz
zNd8zGp<irlYzALl4~)wq9NwJ)ObGx3>jY#qu?bQA6u<wWxCm<jZ-)2~%q)nOl0`Ey
z7yS0Lw=yK;G64<PcM|-=>sAeS+~nS>8+Uo|z~<-&_k@Mss=j^94EF>(0|5W=X?Dt=
zcPe9=F0|gN2#YAKP2Fx>IRa#b-xyE`c4keG#Y+n35I0XwqAH)c8Zoyz777w5kP)K&
z9GIG@iu<!bi~Lxz=g@R^b6V0~%eu<HnisER)muv3|KNuWvZL!EGD~|}M4u~ErE6|@
zxnJDz@$k*oj_`Wf9dM?T?R;>h=V~0C_SaNZd)A7wL~7Z04~>&*?zmUSt8}=!)U-9p
ztX$c`M0%{1I6mB{=kT*+xR(mxg$wn77)XnRpo{HbHXQmVrv}U2_$vH7{^7(>E#-ia
z!bH+<RwIGL&h7U)rmA5#&cI{AjiHZmJq~i1hh9H>NI{@>RU2R4wgz*D*T;mpVF&1*
z1Ze!H>!_DvL)g$)RjzpYsK>uPowwj0;qVKRb6Z;xm@H~OOwB60&#<x*cPsA9Q=|YC
zl+hGIgGMIYEs)uti>}rmsZ!9TL@$x3!+cRMu`e3gF1@d?tWy*ybpA{OaSuX&mhxYC
z{Efves^VN>EAaGHfV{_#;Gf%Tb|?ID8{O9U+PAqqNSpRF`Tg8lamz3B`q|XO@ze2-
znzvZL>tz<^0`qulcf785K2`*w^KI(MoX@N7eTX5Z(RNolK{hyIJb5wZPVJSaT^v<g
zwm;4<V7H5^u9t2(7DIDb>WcS=r;2+UTYVAN=izBtWx+pwrilj%#lFyVyE2T4f3uja
z@98%rFCy~UIt*A2b&Z577nFJ}FS5B($7L>+a$Z>|fv+o&LW}dIW9fo7NlJmy@asNP
zA!zjK<U}FxGm*NWs*?NrGCj_8vLC*x0&!>yg&hR3l`_y=XHlpMXqTFwji*d^#P5N{
z)AwBML_D=CGM;iT(kD)-63`)k2PsF4wBj|p0a)_;lhXWOX%10RM&6<06$5rRuIBEx
z-S(Y-+aFvXw(WA}5D#x|4vw#<Z_0!G6zO)`h=1Ocxat8H82A%GpE}3k_-V=ykjyZO
zM~e7q-UEKCEZTB^IsrWfzVW;3EV)UgwW#%C1rLs|35*+2q<wr^xOhAm$JYvfjFMxU
zqZm!o$0?r-0HMd)ughK*e==)hS&Ia}Ivsn*8?SB5SW|}T67?45Cc4lTT%~VQD+6pp
zZ$Q%y0V}>uQ~jG|>-duiZTHw1Up+vwz{45SuOG~-k)24FW)5F+k!uM@l<$G0;w^R6
z{oMutnWzDLMZ{(gHwSCau?{=bxi`f0jYx!4>I9Eo5@2dqKTRsVkA?_>+CYL6eSPpA
zh;TVXgN9f+iB1o@dKOyVmCi>it`yzBdSOj{v*k%Dn*hCg5<h*3-6>xSeQSz7^@b$<
zWdlG_S%Gg?5+3YCM*)GMUf}lb*%0|nR6p{%!wr4IuYp3|SIq>pZ0e#{B_RebhtuLM
zpz6xpd;wx6ageT-PnPLsrf&$|pMYjJTgOs-aZma{d9~`1TQsJP3P<%hQs2F{a&mfC
zb>geVnZ*SfgBt&NJa6Z0$Y?=-Qh;tf!3iyi;+4b4Xwr~x_km?2MXTQoELlZ)=ZqE8
zM^F`zhG<9mai9U1RXwdp4cY~wm46XecRVf!NZ46Bv@xY2w^Jj)d1^`$qQvq14>$Pz
zN2f!qfq#vEwZy!bmE3}jSj)YgC^gs|CRgL_$UPUM>DlC<mxUU*DguMDub+jtK<hgh
z$%VA)VA%2Rapp6(qgRetx!^~jgYZXj`LOAP%}Utq^bN<RY4qxBRJqm$A2?pEU_rmA
z*zF&}T?&)L41;HEl9+E7ahp34j?I6&1O^y*+88==D3V6*{{A7}1yroC`T_^q7A2g#
zNIIUUkfU2U@;{ZaHF9@pz6sxgRwfwWq@R`Xf7##%hlPfkQ)!H5eL<wRZu#yN!E!pD
zx83;Pg9p42g+*1OU*T)e5*RNu3j({}K`05wdn1thN64;#_Z~m0=PcLRnI|nfThPA)
zlShTzxN_+4K%#M)<Deu09c5s0Vm;{rE_XjzOZF^wJZlcGfL@p8AgPcEP$)VZK)!Sc
z<@ywTJ(4>~0}m1e`6V6$AjuBLW4CCc0c&O?r~>J2zJIiaOX&98)3ee#_t7l*v&E<2
zm^p6Yzf&Xv$KK^4!N|ddt;3{`ifj;d&^%#mEo-5uu5HqpmW|mbVL=i*lSQWcc7dvO
zqdd=We(Khq#thum*6^!nImHo6!5<Eqy)%jvXndb8_@dPVrBR9~0R>LZz9<SDH*o||
zVrETzavW(FsZBL{HH6??hdH5UJ%r9fw_}(l7we*rS%|xyC<eg(pEXT%*e_7fOh2yN
zsFiv;64)4T_{oMcb8fSYxl>xD<B5XNUFy2%w@LnUxOQYa^zpWSkCzpWNfN_fnYe-c
z+Xu6c7r!dr4}FIe43kSQCMIuEBc9ebTM&(m+$}kN&co;6@wB6V482tjCabS*2euL7
zSr5eB{nPqH$|;mwlBj{LRzm*kY7GURqa%6YjmrJV2vsr&1;_GFB+Js`c%rC)PeB|f
z;1-#EI=^J2^_rO1){EX2`YXIhQYAbSz}wD9)+F~ySLYcn|3kIy+xYxHf#yrT@DEy@
z-|k94RbM2kutfsWgnxh&H<%8#APPKgpmwCdl}?HK0~Y?-ku1J!7I(;GrpamBBTQ>9
zS&+vN%RIm-{FH~r8CFBlEQ{g2M(gxfM%)G0&A@ZhD8lRuv>*B>={Ft8fFwn_DkQ&9
zFpR!}uEo{S{}A_|*ve<mOb_E}jAPJV?Rh6a%A%+v=+T<{Dx9YuXhIIBe3WFXMisW5
z&lHMuJgoY!^JhEXfzG9qHtWAoMiRzIZD3AP+ie|aYw!+=u%Hzj9?cG*kxNrwHt~A1
zR4)u0-xB&MhaNY?UZo)};88CNDRQstQy0J#evd{t;Qoq?*^5y?v(qT2H+MHGsT$H$
zLSorb(sD^as61taV~Lu~Ds)0l6jpo6KPAr6jdCGh@<xaljpGL9zOeMo5}l<v|IX4H
z9WbE#^LTZ14J4uJ?e-DU@$;RX*0G0~EX=vMjO%z2_0IF3bZBjR77z+;EaIg!E7#Ij
z^a)x(&j7z2*CONicLbk7&qh!|4u8l;Rv>Fvf0&v;{~(l<HS~W3=!LsLNV{T!<BBd}
zP@B%0jdTaCP+%oMddYoh`WgLOk6419ok57Rmh}zjhaLYMUxpThiB?krYKc2N<J7Wf
z5Ajm!8^>0ty2?qvUbLpj%|&ZGBmM|Pqn-%t(Z^EIOnE1<?Qbt4yFfS2XfL!geiEO7
z2G4;XLbRrXodC&@>4BV5_ZV8C5LRy^=}=*t+A$Ob{X${fMhzDU5UK}w^cc$ijnl*b
ztWpT*yEoVwHTXF(It%zU#=hXE99fR+hg+32<K9$?(X5RqT7x1WC+D#3bRwB(mX~${
zd5KJahgZ`(ybB-#)59(|##0>;vJ&I*-blIv1M2(Hi@r4p^q-}L>xg3;n}2*i{m-3z
zE&n_P3Zg+Nk}b*wv6N9fcKV}(!E^L?^_nwo0a5p-!aC}x&aA^j{7`68QJW!Xcu;W-
zpO25Fe*L-}`HFUL&jG?JH6671-#{E%`axRTFx_~3@~Rvtkh=6#4f`s02@ZNyg^PFl
z2W=DlXi6O%1a8i<HF{>)9DEjN?Egy6%QfImyZPlrV13c|cagtj_C<mp>4E-~NP*p4
z;FbTRXR`MmJ(-8(;hWUrhgL^h<8$$5$T+Oi+(*@MRW2MYr}-S^5ep8U?&bFgdPJ`w
zwotH%XT(TMN67+U%4HTvWzGVr%&1kg9wiq;7`6Cwv?hE*6G&#dpR<BIhUM(r|K$Jy
z8FP0rQ^RX<aC%o!4#6It+t7mARxC)8t|REXyFbVWGjc+Q#bRd}56+`tC<pTHz398^
zn3l19Us7YhyEAgw_BT8JN?>x!#Xt7AqPBmNhG~awVU!2zhF>iJ3sFT8I5~5b_P;0d
zQT{*~RYTV>f%QUhB4H>NatuieFGA8rI^UbP-A_?UBhbM(&<QI@preC`lM)9(*`S*w
z8xj>MkW@$dErGdxqZ$Ai43Y~@xIf#p$g5I$Wz2cOTrly`!CFcU`T-xSP#w0`<;1pu
zv{!=l)1QGapEU>JNznE;<Y7MLp6vqUH6uh57sBAu>EUp0JqBm~#ux|ed}uLyh%%Ti
zTlC!m%KM5@GcovO+|W8FB%jp$E;HTih00?}yYD?SO#WPadBGZ--)sO+_LWjEF_96U
zr~fgwFRrYDH|2k>hY6U$J;sJCk4^_tG*Tjmwv{RtcHnhy;wS>!maD^C@mpV)e3iUw
z$!phd30U;ZGZy!&P_R9nWcd3b^rDRuc4C+^G-^{jlnzB_RFjyPO^^X83yRkm5}ePJ
zU~MLPiRVkwy4SOoQsWB+?$Fk0)NbG?YO<NW7B7a-R}(ydlfx0L?;i5-_@CMgw==Q`
zbl42Xqt%lFZm>*nFy}H1+s$kzs$=XGj*Zei060b|HlW3V<J(xaI-ou<z&0+@Qyp&B
zg`Hh3H%_{~jZ;YE!xc6Bp*VoSw6PT#O&kS~FQ7)~@KT+(qtu+ji{{ceMTB?_C*p-}
zOX6njB?Mr^E^yM`pM%Un;$bPKO#{yNvkqrD$|AT5g23~MzXB8jgr5zi{d~Z5cRa!O
z>_Wh$jwOJ(x=4y8C7@poYOhG(^fxRqUiWb;;v@~BuF`Wni>^3OkWJ%fwTHm~VFnij
z*fnTJsM{1LzMrxVW8?dx&>1P0NHorAhl*qpiW#R}l2CDiy8lhhMkpYHE|gm!acJby
zWi^%FVH9_Rp5<au%>tw~4n4TLkx<g(Vi`N1_V4{O@YtNvYOk0)lRsFcENn|6aH;o(
z!R0`wkUk=H?sI%Bm267uqs@kYhY3In-^6%HP9_28lgps2j;IYM{c~2tPQMdc937X@
zG2pI>HBNGnEzeRW*qL*aZk%wC&a2;!F|c6TsP{rs!|peO-DcCr^$AKyUE*01<M7RY
zj(~x~`Cjk!MV>d$N9ss{GhyX^3PtP7$QU1%iKHp<fCS5*QNYz-E(a!^Pe?gBkCcbS
zsAJQ0eBT#eQxGN0P_Fn$rsIEQB2ac``ryu3h_}GUmh(xzKiBAVB|z}WpCgKWb?;zu
zxFtyqsah?wd^#37076n?1&EmS>@a4e19pyye4S*8r$kCrn~v&ijJ(5Hj7y8i=J-<v
zIePoZ&g`Ru#DWns*@>H1E(ri}9pE|mqX=0~0-3b5`Zjdn`6E|y7GlH?ye`Txiqru7
z$`~za&vNRoNeuyUWnR&*EI!zKj%1?@y)hQ*Pi02mU<v`Yd`dok6~2-Hk9sl`>O$Ki
zimw{9+Xf-Dm%A<um+{<rg{L4rR<o-~e`gf~EOq<{NeJlvkq>|R>I|>|x7Wy8uxg?~
z-(0#@^sX>hpHaP+3#mXP<V3Twy$L5ccZj|GEq!Lx;o0|Jwq5ys4uSj?hfv!*kAI45
z$;k(sE))$-teTP7N%=ULDcKGF9WL_#RHU2&^?|$`F`9!cW;N0k9kZYm9s_z#h_+p-
z3yC3J_MBrJAe>umBi`P<ZN>tCfyVk@hK5E)d$lN4EHMj36UO^Ju`NQSAX$li#hv6%
z7T5pkgguwz0BKqu*_J-jgQ2Z#LWCj;Op@4$fokv`FjkKoCE*)+G=>||5X7FpVLYpU
znaA)mbv@k48V()gCeQ^7ae<kDN0Q@~@ld=3ehDv#7X98@@$ikU(Y;SapdfjKtP`s2
zK;=cl=5PFdVy_LlstVT*1T<h7KA3Z;Xso<@38g#qDW?7Z$rmV`3p9`Bg~gni(hJ3+
z=$nM4^_O}~4*VO364i{>k%-xuKQm)p^>vB8O<ztMmv4|(@uzC2yXK_Zq#yMg+%p!x
zDCC%CI5oKK?sr8Si(RUsCeH!kl5N4EAfVs#`V7@4R~SikHxMoWq)DPW#7z@#KpFKH
z^vQ2A{tBkz=6s;N!$3BF%9<{Z{j2e;|Dh57`B&80^WN@ri^;vcHVLwG6W$u+;;5?2
zq$HCS9n<&VIRbSyFU?dUtw2X|=1$2tex?GD*Grex@Y8~vGqUiWks~@$UcP*OzDSko
zq@@#-ZvCt<?`t?v15#IGU(m{7M|;GwrOR<~vicHl@Ay^av?PA`outlTp*lP)CfgpC
z-#z8Eb|yNXFPp-qcfXXi@#b?;ZCV0)K2eMtA0b5WXY~f~y#7I3ZEiHPhg=_<>~WL*
z0hG+~YS`MWv*(JP<0WNz&8<MS9Hac%bKpk;`6~&Q_x!wHb=Vxf?@>{+22@qA7BwA%
z^JMG5_#8V80?`VFdM6snnbgEJ9+Z}t!X$;+>c4r>LhG-kxW}4ps=_f7@U5V^$oDSC
z#Fu&=+7t1ftk1=_bZRiG#VyXvK92!!u?nAFdFc6aeV%%C(gnyK0nF6Qmu!@U`U%y(
z0K>=#4!P}vTuLDBgLbZyJ7|_4Sm7vun5O1pl<j}mp=kL%GDb#@Y08SMD!TB)6mY)Z
z1HT{CU-fZy?l9SlWAbl=q^T|yWm$hv%#9NRj5-;47<{j{cl31F{O5r?-|R0o9~iVl
zgY6&sYq1<EoB%X_He1I%(e>++<ac`2)n+9I@yw|=>0#Ja=&GR!yOA^OGWuLj4ITBF
zdO(L0SOnC^?`&)&_ii`*bXZey7TH<PDiL+Q@tCpNXFB0N0w5d=0b}0+pME&=Pmbit
zD+|wiy%KIq@vY+q?o;{-dXP}5mY@l<Y=f_|Na5rYFi_-m%UlDtmHz5xPP$p>avbGR
zcUEB`*3aGQ?Y@j}LVhIJ1TIRGyIk#A(?Jy|>sJ<j7D1Wu3oh|&Gf;YhII)qQeo|z8
z^1&@%zj^V{Ds_y3e)1pQ*?q{C_gB6$QV})|dcZEnRpKvWX0(@^`u&N@IRTkL@30&1
zo5wY?!^~h3iII8*%E9*T4{+0J+B333da2*s6gH1^vahUD=XPBDYH1br)%gYBK1|GI
z($1fvkEVrpTuE|B-Rhn=1Pw~9AeLO3nkXXKO0l&)DtF~937%_YOEE1EwuC}a;SuyG
zk*%PX`@xtm)K#tHV}uAkvLlI1T4z$Av!m9Yx)bUTZ->ZGnt*0m_Fh0-K<(7pyd{oC
zdr#e!qw-1LyGtnEm@OVearPKra&}>$Q(rovKZYNjro19l@hqr(Q>5D9#K<STvPnPQ
ztFk)aBW_>ZkRomUv2;0*#m-ag2t2b0ZItM}i03eyrSm9z$(9Uch{UfgexEw!^^Cwc
zy~m6opA>j({I3?kr0&qr&J8Vtwa4ywN=C7oQ(u!umwih*<7ab^gXrb#{_vrK6~0g1
zU3bj$_Zh%Vpexbyu<6S08>g&fR#I<P$&xaHWnw<~xhO|th=s`K9srx2upS8H&>{-E
zey9VC&AD4~K9R<4!fJgwcW0rE;$If1ZK2Nt*-mMm_{0bbM$<jvOgdJY*@5GB-|Osi
zdP3D9iVDg|S9YUnNNC=)AgtLjJ(eMYwqOw10CL37Z<Ovd;sd6wgd>?XCC%SJIB?8Y
zF@atbsxiZ`=<y-tB(y<J1i#T7<z=B8b^F6Nfk$DUOgo|e1*?X&XZ2TPEkf!NAn}YF
z-cS8>Xk;jUVy>We!#IJ104zaiDocEVP{ZJ5d_0rCB`5;Si}t{Q$eH?Yvc_da2HlHF
z|EVd(H;{gK&oJIz;YmHjz_!vpdSwk*q!PyVHW{vgJS6drjOOc%&M02fm5C&oIu5A=
z=7MeLY3fmnZ<#y~MXiVs{l=`qatiW<kw6Cu<@&^VWSBJY&V-nvu>3;Sr8tb^|1V34
zvlXlB7^Ekp5=hyU#q<@AmFU-<2IulvfYsi|TiW0LEm+B?Ba`tMC~yCFVCwKw^?s||
zZapABI0IkQ<+B<VBL;>Kp5%w%$VHmq;rDS<zc_gkl)cfk!Mk>#ijfAwtP0`-dOFy+
zb4dzy4n#BgR`>C{k3**ydm_r=c`nooF7>U5#5g`2TkDR{&zQc1dDz{j9iaP^E6jZf
zk0Va<O!u_o1F6PcC}tqB3@2p-+Qg2Q-WMM_OaNy~s^e<eevREHyt5JZP|2a+OHa-)
zO=@CswY^9%Azwzb6#NoY?FQ1(K+{B>D<;rZr|<dUhO$Y%eFI%%u9FnkmJ+MepsT=M
zDx<6`p0Lm&KjxO=o{i_~)g0uJEWQp!yGlrWfOv>z3vK)KAnBOjmjfTLJ-RVa(+O~3
z_5D0oWK)aa1U~TItpcUCwVe&;_m}&IXJZnGN!Saq0$o6D+-D&uOoHUQ=Q&E={$vSE
z>}uGu@3FZ~lqA4VJX=1io)g&=o}_a|^B`8cUSMd^HkipljX(i1y#vP#OoNv5T6I6k
zccN>);DqHs6bs8IXfoggG$042C;<<V`i!IAn^O{`EO;o6_DcnVK9?R}w(zZkvd}FH
zYYCZ;Af$X7k;C~pr`(S5nM-)lPKda2+_E1oB(h=9h{5gzsK&D9GW2xjHDVeursZUB
ztbwPzg!q6K8;)(@c}_b$4d+FF@CM>>S<IQ&1n#v)6<`xCBPLU5(JrL#>uT=js+E`K
zeWpR{-lPH24;13&Hcl0X{>g_(-Bv)T{kW&rdO{fJ{F0Acx%g6(^GFeQN(n_flHLb(
zwl%(&E#}oVj)xfuybs^d=858sn3+s0H(&+N#XTllkz}y%gHJ1>^?L^K-;Wz9nR6S|
zZs}kJ4s_TA!6QO%Cm3G;Wusd&g`PraI9mQ;@aaz!5Bhtjb-=!{c;5Ys3V%So3m49N
zlD^Nk)3!3kem0qSy`GS`S#^eU-tpL$?Z=a7*hm3xK;=pP3{_;xmJ9ThhotfHH#f>q
z6wZr?u$!q7p1GGAV1S<R6HA|Q08FMD*ML19h3);Kye7j&V$Z!Q8Y!wUk=1F42_+0u
zri!aH4uEz%ur8^urP5m=dHUVbvPYW#@hDZFZh+@-RRnLzPtEe~@acIq#cf3dI&z@h
zX^0@#N*hH}(ZLwcjFK|?b1@#u-2iMK_?+4@HjM*D+FXz`;S1=ebB3mvE+jU1VfZ0o
zKFC0}jdfBSF?E6ypgzq{*rIx}7M-n>m0nJ2-I?kTZ6?Kc+{OIjkwj3QK(Lv}?|c6v
z&-x4=S3z4hA17b~r11OpSe;vf)z6b?B2!T80S*`34yC>Y5_qWijoVJ+DjvZRa3jLu
z`GenhZiP51bBD2Cs(|r-ZN9Hj^#DAlxrTL<A&%l1pwo@H9|RY4yX+_*Kgel(8x91n
zYmy<2;Dpd6%oaA($f_|?qeYKO`4!SMk(;_p=pO)8zoHf1eoJWya3N>yl1~6yo&A7@
zY)mpkijtM8hqg{$cQ+QMY9&bAhRcr~$H>nnz+r8KJg^6{e^%`zd~v6O&Xp3!G~lM-
zVRO7XpwSPD1ixOVZa1NXHo{%ZlYkoAcY5eZ)&o6?z{elZp%xdJ)Y{m=bBXa*y1ZN|
zhY2Dacf1uMAlpg584DgT#mvVEnsXP(DKs{(d4>R-_#nL&I-!Yqi)J<rI*Bv|t^Hf9
zl^7|0(5U}4T!9w<P$kwY?Jpzw&IsU{ps2>rg7&MwGjRTcxwt<q0afrAN}qfnVCB|#
zYsB=ptf$6dD;S0<D1tg;T5f*ds@c)VW8kCNb4_mrH|P<aNCDs=_AV*(HhkyG!uW;x
zozAC(Q$2<ABt1GCm$2dOBk8aXz71r78eK*E_(Aj2v?Mr@U*R$Pu0R_retUTws^3TN
zn045Q09Qy8Wz-kv1v4{GtKlNklcHQ(6Vy4qrWWLxJbvU<-DG*XnHJ49<nj#F3xgho
z{7Ju|?&CS}gHJ)&L+)XEE9^Kd<`|&qty^UO^0?2E08XJ8A_Kc?78U5$IT06(nTXd9
z|6Ez=atk_K25Ft@3r?eORJEJFa?&VN0!iCTE-JMemB!WYO&h3fcM#kYH>rPh!4l_b
z1j;DsAo636`scwb{QJbfBrC-jqjXUlLdP7;W;3MVPw!ORf^WeI#eofe2C|T$ubKRG
zw?-?hK&yV@qYRe6Mt^@5FF^Zj;Uq2%9|k{!A!&(q;*dI>8LYvFoGziJ=X;JM*mQbI
zVzLlwmV|OeYFwjS^H8`cVd1Honf|U3rMeZl$wI|xurCbId?UDdL2#%NN-0V&wR0cA
zon}Wpv#0yV9;h7w+Gl?Nn#y;=LgPp*2%UB=xoF_X5lw`CI3GD}T>h<n_2VC)?Lxxd
z?_=yk21&l>4VMI}KNP@-ARA8=lsQe<Fyzot2>M3QeOV3^M1PQwcHX0YC-ZJH(E_Q2
zAQ2DIZS!3TbSsi1iargPWLhFWQY|qK_PI38QLW`w{3qmKkOx|w4_5JBJ|60mpO{cf
zyTw9N7j1)3tFedd1z^{Zi-fI%Z|oGw>lJ$Hc&<pgHs7+$1nKXTX-{#(sv_1A@c82k
zgqs~#%ZYgg`AP-2j?2%})4z!F!5+3Smr^^y4L*8f-B5y*@Qq;P-K4xzOrI%|6KxB*
zKk*m|khf>R`6&R!;?;@HNwh0HzwvsQZ2;ideu@Ck$*a_Myi!N&F*L|G5F8jNb&>+?
z-`jLrQ*}^t8{i*EV7Ae>sDG|*>&!DIS-{>-(zgU`Yu0Wd)xc2vF9t~AEQXa(LN%s`
z?xX8VcsNVIjC+!MX4~1LxNe_-Mry!Ics_<}FpH!*jEsV%;Yax-PebaJRML_F)B0N7
zqb2U)28rbFvHXm5#lJXY6ky+=4a0LDDy`8Kw%}YT;K>6nGHEEf5v7y9BNM{y-*b-w
z#puj?n297s+KNXMkE5`S37uUh$ZAjw%%}lG3((h5q8k6Hv>3p+#zbJ_nlZ;eWG3I<
z(@u!f4Osp$?|c6`pNhXSq!qMQNPr5q=Huhx``b^iqSfz#PdM>1kR1_XumQTZx)i^v
zFGU>0Kgy}2@udXop&EZp6${t#_%o5R>Vuz_wm!m_-P}^f#?zrRQLfmxa1{F&1bFm>
zTHD!C>t`JoR+ej!?JDM7shp@rmBhg=1!m1&!VPzY*4dmBA=J7(XRx4AHYEsqrEhR9
z28OZV?)v^pnolaJE(GRe^ehEPe8Jy9<6*gOiAoG^2=VQ}I80DW?hj2Pj^?5^E!*$!
zCI5v<%m9%W)LJ`rmvV2r%Q)+g8rFp&)&Si&C*%*A9)&RkG_^cXtD_%4B}%Z0$BXve
zIEJ?PsUFh9qGXABhTnv-&N=5>s5<+FkN1&(D6(Q0BGaOZ*EKD9aWa(3oCeEsW;$#~
zxf>^__s<fWs0IM3V!k$4h`>G$^trPFl##yv?oK_*+M3+k5QxITPHT$8gdXYm`aA9o
zvE0qi{uU@)m(*65%$h_PxiI|dLrMCEr|@YUDUK9rpjigsfszu1Z6*>gDGsXCU`TM~
z+?d^Uu-ZQ>ngr_K%Jclu>ZLS9JG8j-ecKDqqDT#|=;pfgv9(rMHXPIKyJ@ZElMWj6
zT<`{#fw#yPl)dAjTL<BTHwxa}9FALXVzQ@+rQZ-rpQU=0W@y0+kIIZO@TVYJTZM}!
zH|uZQDhQD_x(kzowkKB(`XR8937+>X-ar~Co@&x1w;1?Ze*4D~NgQY8Q!7+CJazFS
z&bkl%s`1iedcA{q%m`bKnP9G-4jaldxX%40&%n-N#fX6hSbLIvmJrna^wteuQfjr@
z3NN4)4ik3YNbX}nf|DOoM&A7EbNEyMwY<DKF+ewGH7vBkG4S@vZ1GmnTZ|CCI3E0o
zcfc*j1)S2hr!Ag4VdO)_8s1yPHRCW&Zsky{e#IwB5QNp*><2#dG@&HS>|=aTr|+$P
z2Pn)_Z2wTRd*ALZjG(>-;Vr(Ej!E3w$fYm&Y{kEDup}UBcOPDH^?uWz#Sa{2v?gK>
z38~nkfs8Qc-;U@PGiNDBURbRnF8bRK%e&2BmoU*A^spKTt&p4I%%@L}O#U^hB9Bb`
zpsh~c8c&D(dic<B!Hym@z|mroSn4R+Nckp}Vor*{b-(0>v}W++1m1z13Qa&`(<*QB
zrW8rcvQ3+jiJr}LbALXnC)?mlSz~K&ZXe4ks#EY@4YhARF~b^6<~Bb#M}*0Q)+cS#
z)gI1|WI1Be%D-9nO^-F#^QGT`HNcmiuJDiE6AyJhTIWzJRE|UI#%%lIKFoX@kx%Zq
zt5YJN^H0>_=H@)wZ2ylRP1?uuRz$dtF~c<=`FS*!<)ee=rH)raJ#4uTLBA_c9&WPY
zPU&PP$)mrd#HjcDjX&1-9C%3qSCN&kH0i_Refy9kIT8e+T<HSYC)KfnhrlPPm1CTZ
z{0G8hciNh8tWp;ICTsU<H?+<M*o%P|X_*9XHe4>m=ORyN8hh6V)FQSH+H+!{df{;7
zY(O(2$&bU6pzShTYXPK9|Jcj%Mjlf|c$IAJTB4+}Ty_-f&$A{XzEt7s@A)XHOR)PY
zJr?&?Se>ATY>%O;IprQTHZ@<n-mRo}fIs&mfM|6~>Ql=}QD^Px@LXZ<CF@6i2b$M)
zwCJeh(2KXxB3lF;b4E+gIqN$`%dan~SU<G}XHAM1GgGPxXZG;sZ&=?)(DT$}^uY4H
z*=l&$W*$gVB@WQNjj(-m*c<8FT=62N!mBy0l)HU(U;66UE1U4Ew)-k$L2;|cXrA)+
z!Xa<coOX&2x<TAR>4ju*QGYS|(EU|q>T4*zIAaESt=WVctK7w@d+YocJqg#EQ>uaU
zD#4XcBya!w`dEJRrM*fC#SHhf06Z3|0VTc<(92!M<>LAA_IP=CL^`kyAk771l^RaW
z#Fq>G$#yNIOXP}7oZm2L_#(-l?t5!kUSQ0_&|))^j>|(BxFDk0BzkUiwyaT|V}Np-
zm+7uyUaNvr5va4C)JCzOWY$Xg%9H%DJetvt2zkZ9HA1)D*xBfyYG7BZA%Dr>(h5th
z_kw?WXGGo=o(WFh871Mvofqbo3(OoGD&h5a`otNEDSyYj27=}yYrUJs=UKvK@kw<u
zuh9+1gaL{erUK^AJzU5j@*d@($IAp}J4i;_!aeOOKQ?3Qzb{IOWA-S$tMj5kw9h$y
zEI>cJi_>x4Cc}_CC;?RZbb_)Kyp{0|JRU99)6AW*7%+D&NucPC0PIqubFLRf&<yRw
z5$l0Az(Q>jbSd&%d`{d<^ji)$#FU2vzTF|!ucM_ThOQ@BB-(>l42V$@aXrQK4V@NC
zSrtDi@iDH3H!t9~s60(y-F?IJ<TKoXd3KwJcDKsxOH}3+fr-S}YKP}4wSTa%Rt|+h
zq~r59-k7@_UfbmtUCO>W-fQX=bcxVc@;PY=cDwCWYJXapDStAd_t_QIAi3Z@`}H@!
zSJsuwwzTHv6J7#=xx+VTw+O~=TU0koQjFd`^8Pe@`^ne$#+!Jzx-aLDUAjyIY}1si
zJ4c?8_W!IB5^XW(NIG<(b5b9$?Ef1qn(_`vkX}VE=Rjd!$@gCLd$XADCtS<{9hj)C
z6Yc}V25y3xk!Xz{!GFL9seedMlQ9sRN|pPJm8hd?-EmHXtsBk2$nj-!`FEyXl*_%J
zBfU`lw74=@ymPMUsuRRls{DDIe$bcsjDTe7OT&Zvn5x;m3!h&{$lE0uv9<JlLRgnt
zb7uf2z<qlz|Bk7l0_Iw5EOeK)ZzO)+m|eo5ybUIGU1rEYBo~`OaqaqVzL<^V>zppy
z`yb}AZ%Y(P_p_WU8N2v|@zTm2Mt`tp=GNhpMuk9OW)ST?r>DslGEE2s-yTnS75D;A
zbOWb#-ojNUnuC0q@CicSn#f*sTH>tK?2tJ`9HYbgeV(#~B8qFJ?RNYNslU2&TZw|}
zG6($&+|P^6;^wrNCVXY!A+P=2di(?vW?$?YX*1=Ew}hPPr^D=N|M+H(jcxn}qbEON
zFC^NQ%lMn8=6=tVU7&7cdo!Eyr5yFutGGV~W_<8iz6}jLd<nCQ3BgL^5A)ypy`*%M
zW$yZMk4MZchF*kxgH27&@3Zws|H<nzYTO>NI-g$|iV10gI5d`tejL^Xbh*HXqUMyK
zF{i1k;vmzzi>At7>fhSa@^)WV$}dDz=ZJ+?(A`R}f9`L}$hc@^-DzDO9p`xAvW5-c
zkhxO+6ll|;$o(pJ>6a9IXdST(pZIF%ZKSw@@Hi?)p$wu6+pQ$v`sS`UU-J|ApP*1m
z8(t#KPCt<MnB4dDKOU1g1V3yFDRZUwK3L2SVSdp@R0e6XRydt_eSXNJxFIQVc{c}{
z6`?-Z(1#cS9SH<>@Xu*e)$(M-2@DJ&BPn-i$a+>kvgdk(TNwQ+%b)YGjD2#3E?>`i
z&77<8W=o1AO_g;05;tddrZ5LDr@g=1lbZ;!yQZwH(|6&jG3g38{B00l#`|AL1Lg<f
z4SHh`57|$|y5H&D-B*>oOh%2l_Dl>krl{L~|3h8DLagu$Zx9QmZj>RK-7qM)lYX-X
z{E>&$Zy^<X-jLQUHzp$=&3ltD1dKuj@mH7<!-hYVr{VDhI}*z~i`cp2HtGKa;t3s1
z>ODMf#*N7eKGREYwL>i528AwPH5Qmqcy>H*wFmw2e3SV;hyUAi=KYsBuB4@RN#5dp
zd%MH<>pPI0$d%)(>7QcQd@$j**q!ptOsfQSR6f!8tM-IRBU|65ZmYE{L_w8FV?=``
z!;sU!f93?i+*5ITF}+(A=~uViX#Ww{vnrhM5ZF+E5vOlXE5$LIEf#8WPw1||nCd?o
za**ERWUX%3j@8kKHCGA+2vN<6)9Gha7mDf~beH2h@7jo3r;7f^fEap(#*~}8x>AN*
zv^&mFXJ{bCPyF^L-XRKQ&DnuFu&b$L_ozzncR{ECX6pIYw%vc0mF>AZ-8oF8Dpq;1
zxF~=o82$2cTLvYRiTlFL!IYHH@SDXwnT!kO)q^!{t51@YMdO8IIvX&aTfF#sh0_iK
zA9Th2!i)7H2a-9~3*T8rDA8lsu)9iYHVt7j6XUSGW?07)E5S5fpkKo6RN`YW!tI1`
zCfbSA7J%6@-~MLrKiQ7opVuml{%-X8HB0Mh{2>Qwlgmuyy)i$XPVUG>C*Gg<?`_)I
zidHU<?lN3;|G_%MmS$14Q#7>t%Q~d%TTshkPKz;}JXNy^l^1K;)9xTNJ^g#j8Cyz;
z{3;{=l6YF$9&p;_u$n@S!(uKNpTreI+An$xd(1CmeUYAJ|2fp#Pks$pu|$=bP|Vf3
zbE*YCU7cXvjA`jxnkuP9{Z8nce#(Yia#C0fCfB9^ihvfpz_;7HV_q3tw!rfvPpKvZ
zKnoIR#t*t~LJtOc+?j05YjJYm>(@m%8prjG*~R=mF9OGQiM#~sWx~4kGrK2`Zl`o-
z+K#s$)oCl+HPtO6sIIaRaJn0EbgOkwsT}cs82kh4&K4}UuLEV1o&U{1<)1}!gWEY5
z7<=xRIhuAEBbA;cYZ)&v|7QGffahv_mNvP3oSD49bgN}uE5wxQ{=)eUReT?1)|+cI
zZgajQ2K#CrT8}iL(zck<-(8*8pr&X|$kg;r!hP2zg+*$On&;O<ZU1w&9y=n#R8<Cq
zRm>?R1N>wpd#MpJ4r&CgvIQePVwa0Dm`dn2D0bxB$TU%g>1Hx&_A-)n#!UNcH%rPm
zH(y$N)Z0{i*`mdUc=Z3gUg==Vh^Osm%6ys}QPI?r&evc@5nRXqvB+5E>O1|IekP{O
zm~uHVyXa#jahiR$a|4oJ+xW~JK5z^3WwZTj<Rg5p1zmq0SuFs|NGi#Cf8w5iD}fxU
zL}ly$c0*Y&RS0+}+SR%mv)qd7C{XhF$az@@FmHK}@jsXQ1(kYYDeQDTKIYB-`&TxP
z9i*f&S@+w=>`^_8`sL3NLBXj{=@R4|sgDY(3qRx~zPw`nrEgJj?9&Z;kFlJOQcT-*
z{pqt_gFKBvj*g%=adBg>$8FcPZqDR)c}$W&&(;4(j&MJ(BPKN#`P@L{Hmio^bj};<
z%|2fPVdm~1R7=S_3VV*~Rd$Gch%V|%dvD(R^r`9(%SUw9xN@=3>w(-8Z{v*85vPrP
zdLIxtgYngXFJhs^ytXPr`z-qx<LILVQ<35YP_x4_34AQqM%rVY<Ugl?0)Ksq@@Oxe
z{+|Jpyrq~Y5=D>Feu6$~6YQO*EJ?M~ej~q#V>9ONdIJm(C0Pupr`|X_NpY&}x)_K0
zn0`3>yNPFUnM*g=Cbe(37;`Z`fqSX-m3GP174(^ha8h@V#81;L%PuNA<Ujkxc%e?L
z&`rf2cGCotG2SLHWG^&+FJFl7H?^%g{#I4qiG!4}mo@C&Ak(mOOwQY&KD-^azw2%O
zxgko|PfwUzfg6o86^#NAO5Q&Tc@%ROGn^|=Uf#$XOh2NSbN#uabWrXfBl)q!j4z{G
zT%0LpY?gI4MU~X8eFt7?$7gR9H8}e;Gl2GBFvpi&`ZgAJ#9`Ku2Z$bdl*fD6m4C#T
z;x2X9T;I|Cf!$0tCx20;?gj5lO?6KU?nlzA#yeAH9YT}|0*m(|JPGYGY78sP>Ok)F
zF{I{+<mGv5jIDJZL=vtBiG-F({;<1!2~L(Lk^W(H*HBLHN&=gvI2l{3fmhG1v8~gb
zW66|$EnFzf)GM0SCIbm+q=<yY&+`g$QG2>iZ3&&!^E5u8y5wk$wzG;#ueOJNdGXED
zfVuIBLM_!24rVOI!RuvhJzHWbqDsr@ZxopK)0||tYOri}!Fb*%h`ICWw}%HcrYykd
zxrI)f=tsL~S<PSl6Z(Mp9G|7!s;a&{G*8v{UeiAz&MddEzr<$ZW#7z<PHOPo9uNyD
z_<)p1I@XqnvPpJ6q#B6fZwva@#6S0HH7wLo1G@=bUt6#@dk2eJ7hK$5=Zf8D(Y=S=
zQ^pJ9jlQZA`tk4aWz5V91L28-$x5kZH`MuDM#~N5u}>sFmOm%D24}LOtFDA_W{WU9
z>P`+m{BYCYX5}NIBNa9BnaoI>*U^b`yMSlj4?gcKx;u6V&d;ms&iUx6se*8$0UM&H
z5mn^v_YZ!TmC+#m8b3KvP&Szei#%(D?8?qQO<wZIxhYs1a9_NTm+C68KZQqaCaHN=
zSk>kYA6I^$R|G`_#g6^U1kNamPE*p)Wx94j?|(%<FXw5Yj<`?(T?DU~OG-bK>0N&A
z42tbV>%_(B{_GG-!Jlq)l3I{cTJsMtYbY2{{o25GMK$VceQX{Dp9C?DMEhaK%vfCj
z4n5~xJ%^zWJWl})_fUAvbD@MDn5!4QLe?+?3zJ_c2HM*MNe-_a>7L)rrk$v2;B>ph
zU2J#4&&*P%YhYf#$4Z`pxrKIeatz8v?Z+MbPD?*#YfQD*N{o#b8qt5mLrkc8H%0GN
zUj+n|-VNgs*aYS<hv+VL&1KZ4vZ6-`TKpW<DJbfLZ2eK%EpYO`QC{(R)18bTmo~x}
z6HK#(%m~p*9X+n}1(yYb)|px?RLAPmLVI=?$%p%wwZ8^n*wc^kZg@TttQ^)PTm^~H
z50O)S=zZt5($}?Y{4_e*mNRqk100teo1lGdgJwak53v^ccmswL%Ool%&_vl_C<_j)
zwnB&I844irS_8N4TwNx?9rY(wsH$Z0^+w);uqY`a#R12F)@1K9$&W&Wi%#&xr`OzT
zi8v}(-{wQsX}jd$YO%;}rc4W2tLfv8ioSayfyTK_dMUu6ftlTf@!db%BLZX>ZAxxa
zeD$On|JeR4Qz6hVwfS1}eLrbocGmb~z$_|XjC%K`*x}DZcR7~+#`Tj6OMA>C=htOr
z`jkH)T3A!pRX&s;Z_Y{MrSbB}1qQr1l~-aRn_mNafu;Td^~*WXjv#w&<kH*P;ncr_
z2sTxSVJq-SMNTm7$VCbEITeOS1~iOy!tq2<i(evMpue_iKP2c?vJG@5BfTXPUGqtY
z=P7s8h%5jKSnIvH_7Gb1iSm$`Fm?&hJr0f;#tdH4=iU8gOPT-G0<8TZ#VM4*l_AwW
zN&P2<%dOXQnt28qm`?7<xqQy}fb5Wt`;G6+#H_x}4mzR0PPD{>--2+B^YVb<d2E#1
zy=c75q>-6%O{U3dCQ)ScX#pKrb823~T7~zjOhdiX@$IFP?jPGr-a4OO_B&0k+4C7w
zX$5O2ClXZ*aV!J3!}5ZOkTKa$B!dTx4Sb2rx1wmW2TnbBl8iXAuTFTp&Bg*JF1Ad#
zy`}05w$_lN3zECEveKGje(9+GX#U$E1p_R?vQhCVA(n2Vw>(<(i=JF*+XKrWfeEuS
z`=J)3U63bIpLDKvj>){Yz#cC^=_?!YKyf8QK_x+n+zyi$BI=e$^Sg3hr-^{?!N-Mi
zTjJvSTxfxV8CeQ2-gd*le!U%rA~K6z_wydn9C4CwAzjLW^lp@36qCjU)3P+sDM$_y
z*hg%XMV&{9VEM^BC|(g~uc?;qUZv@*CGD<?#d&=A77;Pg1@Z!MLSmZQIl$`oXJ6oQ
z{K78_{`u~w*JcfkWzb+PxNFpZ#E;`R=#bfLgvuF+v_}dZ$IpSZ37&jrpUb{Y%Ek~^
zp)RJn@8;nrkT)iBWR0)%2jb)_wiP+*hTKeN+{cwQfAXG(f;?so)S~*cSDDfqa(V^j
zBLf}*l2gu@Ry{Am%u4mDb5!9G{vEJ}x4+rs+qfVV0;Yyy4o^sF+STldVgQyA)QhkI
zMf_f@G_4bxbgx8(XQ=W|BSv>C{iT2tj}@VpB9i}e$PQD?=M6y;9O^9;k-2syZ!mRI
zwNLu)$f=Eq$V9#^e_4U5#ibM7BQi70^cfuS@1A$u*MZ(F9H=Wt9L@Tlb3J9cV&wH2
z9!07Z3k?p|kYkFW|Fp0dsX|xwZM?Dpa%x3pfVJeajw$;<PtKRNRastix}q5Ee1@5t
zd``Rb&fBzG-3bMvW4g$P@-8PiiYub{pXY5VHg0_XA^AQnNi*18)gvvjkc;P}ACGC8
za`2O<IDB$Wu^T!6>lNasdi-oj<uOPJ{u16!i5SaX${$(28Od1+VR%xx?VuSle;|Zq
zV7?{Ve)roob?~at#hVRc1N+c4Q3FO^w_Q_6LciieHDplNZINj^HIU$N$jqsb>#ISH
z6)?$3OxQ_WT{O{K{J8B#+-7CXF}k(=1yjwk#(m6-5Bx|aI8MBwO<Czsc4E8oL*S|B
zr38_vQ0h8L>j6unQr|a&#10<o`5JhsAxlrmSoR5AH9S0g?(_32me8Tb@vXF@$1^L3
zC!Jc`t)Z+Aj9&ynCEM*15B15kxW&yoBhgl>w5_!Gz)Sh^jhYEbDS|L9=m6*1Pt$rb
zlf+hF@)ySDY56D<fu9BHxv$#O2v3XwjPhNZd^dRRL6EQuOEKP&{JN@q1EpYk(br3T
zWfyfQs6xnjB8d*4x83YxYrL4A(e0cHGd|ztYGZQ2K|RTzgY9NdM1IYom<W?P+KK)d
zK9yuYG1M0oz#T=MAym=nlqB_4Kn(Th*WNQ7z(7vCUCa3uV8M+oPYD!3X*VIXFB5~%
zsXc_XpqOO`vC3a%3(X@r+FcoKhxg(M5AZih{FGyt?8x$D0SqY^*ZNBA{f#rw|J?Sj
z=UxE=QL3y#HzJlsi~Y?md5*Tq>DyA9r=lzvEO5<!K%lgCmDi2KZoMoBJI0}<ddYEJ
z#<OPVh2WK+ZE2E45w&H~W#3nSFoIS^c>Ylik=F(vFg%fX1U?e)4}Ocb&F!1z{Kj)V
zT2+J`Pt6>+WUk*eYaGTNX_{N=bL2s~p<XJR(?^nTsogT$ry93UAFtC}OaHQlcS`@J
z#f#HfDtON<94_D0+zC0v=?;ObDU{kC9L7}rnX*kd{O}C&!@a>w;oDPv){q1(ZfZKG
zbi3HrmAg${yXuSwO@7<pX<U5TCA8_OWX0)bFkYuGtkX2c=TP`7W2_pvSLE*FX9J}=
z(?NcIhqNKGN<I`7^3JUXn=*&D%^$%<<Dn7SWU+zYzQY2ziLBIXngdRw_3iO~Bo23)
z9lnAcI)o|*i+cZ;C9)Rkchc-|BMGT6Z&+FaEVRE6Go2y`X#wGAH|`?$AcxR`{PkCM
z;4c$qEX8Cq^4?Wb)n013Wa)?O9YN3YyeVpw?tC+lxjStg_O`fh(bnAJuGuGxjI<g2
zZx%(qjJ8LoF1PB4$yB2~zi%W97wC7nvr>0~e`j`UD%=o2c$!f6c9X7|IGw*ga2!UV
zB1pkU<4Nh`lFg+CDuwM(JrhW&*;~V;n2-To|HYq0y8frrx<p0snSXxllml@*$>+vT
zP5+I@YYSYusr5Tm#Hj1h1qqG=uVepEE7lw(Y1J7w?4@-;O@(+qjT&E&c*g3Yy)Y!m
zZ2UY?40~*Ocj+`Ey+D+?1(&`Jng=z&Z}fa0Hm2wf5={&g--q;q(!h*f-2K(*Bt9<*
zQn=XnNZ*HUJ&<+fyT3(PRBov>J<U-5u<F46v<7jkzehD^2}uBXLax-61ZlG<*ry>P
z(WfSF<fPo(Z27u>k#y!CSgwpjypry~E3ia4Iy!cE-_c~S6G&b7u|E?!%qvkEwMgZ+
zxzBX^@Q}IV0r*7GuD*sf5<`ACmk_&h*;g%+{>wZFK@-97C63|aYQ_t(eJ{>POjxo#
z)!e+$kxG=Qs12*DokVile&VXGUPbzdO*l1|rlFBjjDpqp7%eOM0rG_5<XAzy=9CQR
z(B&?W(HUN}r_b=Ea=jR=*0G2S3T`|;X3jLc5cKk`z}AVLLUk7Gjr_QtI9LpSLrDF8
z;I!CRca94%S5{BvB+*=r8(xOYgPTOVX<`D`!*`}3U7buEDiQn4L*^IMnJ%r!5z}Y<
zfvuW;Btdi1HsB)L^h4r43HBf5Fn>6^-cHD@omknPIqW>boiuvGH?ZNp8iy8O%MhgE
zeS9EuanLe19kK@<pcwTy*mCrWz8H^Zq0U22k94Mk^I|-anRnu1RyDTRLo!>0tY0w-
zDSr~Rc+FRkIpb0_;H}sHpm9ZGUNs#bBjkfoUkqr@YykxcLAKe%id5z7bT35`*h$>B
zfsZ^~5^Aoy9DWbdE96`Hh>PO$xg_4uZtH(a5ByZw^|+R=w%1Cs8Xr?2y;Ha-P+vIa
zRw-=c<n(BNKzSGeW1=9u={VV~sRW<=%<oVEyJ#*Xvoe4fG=Psim)58s9h4C&&cEPT
z9=U`jZ0KMU?{_cEB>Z)PRBpo?%y+@vPaTKB0kVh&mhUbQT?##-2*1v|mmE`!;GO0>
z!H>0iq<@|ALw85J;t4~ED0i>$B1UwA{y}79oSGwRAb@oo7hQuJc$?di<<$`1%2C%~
zG0?OOB)EpTM<>0z$N2kHY4U<y8zG~UI)kEtnp`5}-;ci$&VJ{8GOMxZMSFjefWBu2
zpBlGoEhlG=TW{X<-2H)CVJ9GRbA;aU-p~P<w<^40-IoW3%P04q4e}Yicu}Z|FGcQA
z$R)%2yL$*R&nn>^e}OAa*<DrP<*eWJs+H(u;Wso{zi|NDHsWOYr&O}da{_&9*tJ+z
z8|v)L7%5G(Gbi|;NAa)_4)q1ItMvUr6~8`JD4E6u>AqnU&X{jEbs*^sJ(3@70Cy#V
zLgv*?_y3u8pKNSR3vNw5_;_RFI%#m%+1SBh#R4Tf@mfBP{j;UG*6O5gwWBW799pd}
zlGx7#KIZ6h)U+v>e<N9eZ(;cTSgmx!WGwiJ1Ze#>G2zm!KWi@{6??uwvW*r4=`s&m
zj~G!91w5o?cJ7$|q&TtrirdYTiwf#VlhzG`*X2SaZBMr@UGY-cio*vk#_-17ir~Y<
zo@_l(Of9{mxv?6x&SG`QO(ma0wIuhVHeLOzG}4)3?w;V>iq%WKu5+v*a64&{&~G2T
zUC{o##qkF|vX7WOf4C`4o9vFXztm-U`(7q4`o@Oa;%?KQUsZND|J3dn?K=CrT!S+a
z!<^o2IZ{_#>H7YpVI-yyn^R}yxolwHSut(8dp;6TnDUI>`e}DSe#`$c^%hW3b>IK+
z1l=K>qJVU#l#)tGBi)E}cY}bmARP+QT|>jr4I<qGDBU$Q|3RPc?|oT!&05Tzdr#~<
z`|R`CO@(d023cd?V(!~fn2GK<hlCPi))8wyHO~#@BA(VIwKx9y(#{=|L+3Kd)gR2f
z%rXcy{a%iJrTXHFww?jFjW8g0Ypp@cF=Z%M(6pV;WnLiV;sD;6y4=Zd-ABSj%6RD&
zaR%AEn8RSix}l@9Y-H6RcuGu27@2#AgctITSi&3aoXtoe;C<}k%bpOJg0gWtkUTr6
zsqfE2Z*i;iUR_ua8I||GT8C07Oi%kr_^2{+&zENb_IE3YNer>BIfJ%pS@1O1;q!2X
z3jKm|8O>-9xnnJ-i{;aA-Lmad#h|z2Frf3Vsz5%9*4c}7MGpXdm>L^M#$U6)zE!_j
zi@#=)lDj3MYbuv6*Ko-`5o_$}SO(!rx{p!>isJ46_Llo$%g+)aw>}5D0;UfLYFQA<
zyYCxQCg{)24|#a!##w6=`{h^*1Fybkb8vvNk?%1{gD=SpF?=G+iOJHbdY*V3zK+V<
zjTdMwph4AYKH-qwYoAm=Aj>Ug+gg%-8uQLVb?ArU=JBL^##fs`$^+Bf12bv$aKDO*
z27Zq1@<m~$4!OYWpbkZALFruY_(6N_KEuzGt4vcQL>x2*Oud(;h^OhomQ(!>Hm`Dt
zKB9xznbMb^ne3VgvHK}lETou9&lFZuUt^i}^*A$|@A5nswH1t_GIca@meJ*&&NT(s
z+nM&6UC=a`s{Lpe%X!GXi*l6pEs)cdlz~4nKe#Qk6Lr{(%x0l`i?R|fB8j0lcQ9B;
z4P&cs!@FV*BI7wI%M`97HpQ}UUlJkN5vR9(8G3g~LDghUL<nEEZKgDxu;mGT@L0I?
z45y-~JAVzI>(5n2e0jRfGjr*+%X9xK3O+Y+nS)B$Nd3v|BK0buYh%u`iUum>Yd46>
zNef!Z_W=-|H!{&c0qP;XJ^)iw6UXnQ4G@C);_o@+s$47>Ce*!+bWzQF6*;Gvv-!#^
zc@_N(barI;=-vFL3+nw{KW*^)Tczp2nI?{;{VSS_!Gc)ddLue{fzbq9Hp{N@BBmWS
znCh=mkW`Hrf|rm5DRv&f8^&l!+SXk3^&kKGkjOBcgRPXFy|3tdQjs0n<)9iY)>pTX
zLCpGO#pb-gWZEmYh;IEjB+D_dH)sX9Z9dHOS^Kp77PS;7@Hm=H>hzM0`;R~M5%@Xx
z8KGIbtS?@K)IIOf9qSE;+aK|oy#@4H;8hj5C7qT1^6NV@)N37VDe;F$y$R=jKSl2@
zI-M~|xoQZ`Z(or@noV-zCu%VLaI_Xn+Rr1D)&2pS&HN4L#(`WGIl3dlL{Ru$on~#w
zz}yAAcZj3?wu%#r@nV@^R1{vcWawMx*m=+#E4Ifd{@$SS_^iI|{5DWNsWjp~j?rgJ
z($p?f-2duX<NS)tgteOA&4K_!6pi7Cy?^tqyqyA7Mce#k{GqS?z)Zrx&xeb8LqW4&
zKjyXUS{!>*9k?wsj%TS4TW5q1YO<HMyK6>umN(6i{I4hc-7b$~lVf$;+nzleh+4|Y
z=`1NMWu?&2obD0PpHnC-JYp$Bwq|=K^SoCf<(<axp{RLHUXGk?&F>!OLfgrFR!tJa
zivC~xb`eS6CfbMs=2?CF#w_)3o>%6TEO0}_4cdFl9-dsjvBVt5{Sz3%MYll_%rZfJ
z(woBBv~tnXP~TFg6jEE|%m2|@Av$^#^=YpMzt`pXsi#DUO(d7t^d|<iQj$;K?aR1~
zKeTez8sKTK=tR|3<9NIZu(aJm2DVME>r!}4lZ#^=>yb?BL`jiR5Pq7LT9_u+>YZ7~
zus1V}SM(XVRWt#tQ(L+a<^5S4Z#D|2_9E>fgVn&7;a+`|Jb_oI@MYU8r>h4&gd4N{
z^#e2f!`;E++2r)}y;ElhI$LW!Wg2gF&u(t3D;oihF$D7N!1WD*1xsZH1`126)k<}#
zcdpB`UJ&C`x(%Xm%UvS5Cl)_6)Ike$#OM`3f7kQz1`crf>yR#|=k3tL&zulqSeV?|
z=IFt#`{oC43MaxF(dQ>;^>PxOa@}L_=f5rB<CJ|5;M9@3FAG_3g<;3Kp)F{A5{4y#
zTbukao!@B;anIcjpJt~zNj(uq*2ZE*pwos8<M|V$juYRJ3Qg>fF^t;tKT+HApb(@Q
z2y!phO^Xv>#PcLqrLcYw>VDVsuKXF*fx8O+{5htn!dC<&knQx(>(8G*tLy4gxU`~p
znwGUfNu3oA*;bFb>c5w<No#x+AQLQ#+e+6muv!}t5U8F|dM5aAJD}%($5Lvr#D7&c
z!=EK)^{c<MPa&N@Z68u%u`{WX5X}_^^f``fKIx)q>mK~dwz9v4HfPuTk-f#?#LRT~
z7@$@#t*U8}!f$)_n=_GS+LsJoRG?&5(JJG3vu|HxGl!z1+dSM~2!za=L^|aw(~O*L
z=N6T*J-hzSa+scY@=Wl?P1)AmuvWa4L;p3Yn>~xmK97Nn%OTIl<mHv@W7n1BJCRgd
zFABr0peO5_yMDHg``lwIE5~^iZ!8wJe01&g`9^hKvWvCp9ZJHFi7tc?Yf?Pc=_VJt
zq^R@D6`suV?WV0mPQQ%gWBrdjG130nfFIoVZOwihQoHzBjJ|KS<K?>hX!~@n(e#U-
zyiZOgGTv%*_SB|u+h*~NIkSFan0{He<F$X%*mmHRdTDKCEsqF)fT10|DZ!_L@d$tG
zi$w<4hGiag_eL)&jn9$zj{*SB%dFMj->a)k?xvTNy;-T1`Fyl`f7GUl36!9-9P1Wm
z<il@=!Z)eclzpqDNzs<2&c59Q<Su@R9P6F72ek#G6>3@3HWR-&<4fxdM_LY!r|r>;
zAElukZ*>Q?JIH4|cQA`tr+M8CGk<?^M>PHu!(2_T!~{MOB()%hKG{f5as1o{6==A<
znvwix4qo|VHr}Ql$bu&xv)w-t1?HY-m2Kh9Vph#2iNj&sdDAdbuiqXXqHn680lC}X
z-yg3#=xBxrDr5?O_CD|ogD+dJXS(YksJ=tJfEsANKhHnEAo<aHh*Y!*%M`1ujLEKH
zm8djS6iz8=YWig$!P@h8{FKjW`k3>{zydJt?R(XtpKM7phV~nX*Ay1TC*LkQ)40TJ
zj?2y<Zqilp(P6P2wk-^5XtAw_KkIc|4Hfltv$UMix4xR6xu8wO^1PVC^*9^n6M-+H
zW}29ClU2KHdnK{!k4+Zk3ZDHen=?<2udU0QHBa6%smpm1Y4f^r(w!*c_bUna)t9;p
zdY%5Y9H%M6r`<PbU6tAEL+ss_-ap4rXPsj?mMtw7^l;_YI=v3phc@SlZ+y3WeHvF#
z<?;II4)ts0R$kE_TB<XeZ_Uro()CH>npf9FcXt<No{^y^9N$4|6kD>-?l~{W6*jde
zOw4&>&VsW%d^gUAWn66ao`0mal~=sx!BXk2B$38x_I+RK%QN=n^fYlf=APyW{@kzg
z8ih?SR->jGzn;%1Vt3npmm~J-D;j@SViM4%W<s0BMWg&rpAN}II$gv{>qu{2mI@Ji
z+&#5pv*@gStqoKF;mArY2FH^vk3fg|pWKLpl)GczM{09U18HPI^+|vku>b2I3`}$S
z9L14u%^%VS^r11~cs__wDS@L81;M)%77}SfIvm5OS$u_8r7Y#rbb&WkYIC8Aj%6r0
z*~xL;F4?b24d9Y4&06@zaCc};)rBmG@mV>5#_g^hWiePvyL}v<%<DrcXIf_)U%>ma
z!Eae6OZ&;ok|oq1p$quZA7(g|M2@=&%j(>LhKO~TqrgKPp^~66<8za%?>&(uV>`Q7
z$sC4l33dDxjunP08#Mm6lIO3CWTL5b@6XnH!j|LWj=n3Y79}>G4Ei57yKG;-kB;6~
z>-zazWDE(=W>3zjRO;um-upWRzH*qNqMPnfRm4;mS*ISrS60?>F|GPl&SQ6QsI@Nj
zjxk}i(2SeX@cnlC$=O6-#?(ByM<2}t?9c8DBQDAd4*2qdRY97!UGsjNxNIM#2h2Az
zElu@CL({8*U9SP2jQi5Y#~@Y8d;NQu<`iO?X-{=@y{m{?50N1znSP$&W=8rcHz=U^
zGsa=&dMwSuU4@_Pb#*awJE>v$AZ;i7PPDYH9n9J5^9(Jh`K>5Jo<}VN#XwDMaG{}U
z$=(j9Wm<E$zP8qTe}CHEPU*TRag#oQsl9c{Yv9NE!U9+v?R7<~=uy|tQ(<A@Th6l<
zGj7B`UIS)ZVc$1HjbR0<2qU}s#;WzqEv}M3EzQ1_v%7}a5F#l)kFuEPyB=!X#HKyd
z%TU@=Gu>o$<D@{ULld5Va`OwtaMVilo!VsJcX?7)<7@xmsNE%c9sVKj__EO<ReQFS
zpQq1P)40}3tfSDQt42*{Lb5iIN1KJtL^zNrybOMK?1uJ+XvRdueD$&-)Zv^aCG^NT
zvs9=Z)86jW89RM#+QNxu)2XxW?&31pa$~n^H9a5SONt}zv$!jMJ?_W2>Cc8(bnqKS
zaS2eEUZ5_cbshasjkR>nZEW<sy1zLzWNx2R><t_)FYXxaa=@u%n@z4-UivesxA1C0
zA*yji=jIsoaw0R2dY86<;DbcallFJNos*yOKZ(SDrLBVU<St(OdCbd$hJm)j3IMep
zA{HRa1MfqE9X^KYcERE~$TUDT#@!1sxg{hmVJ=7;$|d<1hf?BMoIO>}Lt2#?-Dk$<
z3xU4CmI>P1L^FI`H3XcGH^VH(b9oc6hk!&JNF03+`62;Y!wIL{KD}B0zUD4RkW3F7
z3zlDr_Z6oCj*JD*fo!OTZ^of|3D>a*7^xJ=t&iO3v&rB0uo`}lLY@xNn)G}o;)%1O
zAvGP%LX^fS%cB|(FowC|8n~cm75lt^f1e8DrV;j$yM#5<ZwGG@rw2gGD8yUs^j{bL
zR8F4T$?a+SGTWqRRuTI}#rz=h%R5)0u!WeN2wO|SiNvRJpIve)0f@DI!MXZ{?~kT>
zzM{R&%Br5ovV^w?Slt^tQ7ki2mrY#o3rt!Ec~3wQ;0sV4`6s@FHNX@^njAFonsk`j
zxV<<KKFvVD&9dD~fqR+lJSucXm`D8;vCaF==<4JTE}5wqh&7wr{B5>#<crVM1BC!P
znOj|VNsDw6LL!f^ik}%Mm<jm!_$un^>iB>)F`^f<We2VBW%l?oV^RaVsE*T?o^%VT
zQ|eF1^#MW@!{hJ#o=l2^H;B-bU**fH2iqc@iljUQHCq3k4SgBVDmlF$%(>}HE9sK?
zfZ{;{UI34EWr!ER*^mUuZEQYw&S-XYmISiIMg6WC{yef7T$ET9^1yuHs;!P$hR9;k
zG^hclg18B0L3?OM;1n&5MJgq2@XCd8)Wc56$k+8gEj*;8sgea*C~keA8>5?yiTSUH
ztRiZuF}dO4#hAC%;aSEw9o%Y*QJ5*Io0VLz_?D-yjn>wR7(LmnO=g}-d#$}rd_L54
z-QQm0ES$Umsd6=0kR!>oU0*P(9V?Bru1xi^5xa4+Y6#Y**%g@150!I5OPK3cB<u$_
zTtY^kevrvAccCUMiM<}CxBF!GQU@0-*T5ZKmaeY#org%m91!uO7WF43^b(+n{Eo!;
zDDhR7cftArzV$}}N|&G0yKhBk|EB9Dnp80!>Dk<jJuzI=NK_n^KyN`gCQAKehJU`r
zj3-kp@qJ>oJ-Cp>knKnW*}0F(9qBO!Do|P{uJD`yH^b%Eo4ys-8GRPZu`K<m<>h-@
z>-|?y3il;ft*Vx=Q={byqmK3tAN;*?Ig75`4u!<}7d})iJ@4E^eR?9Ar=gvg_#7G8
z0S^Uxo6Fm{N4*iS{m<boT(6U(7tC&rvQGsN*bBq5v_d48!g|d#NPWUUle}=0P(+F<
zVqcmXbw5n*w<9G*(ACS7_Sb8ka#VW;hYsBmnLvVfyON=}itN=jBj{l&>Xy%)WI&eX
z;iEP=miB8F{I7V`Dx*dd<QIpDw<A`3vyY9x<A1No<Qen%;WqeWz_tOAWrQ3jBHb3W
zh-C>?%x2hkC-Zg5-7i$E<w(CwZOm+prG|J5qrQhYQ@vc=dh<wT$7611!zbf&YKa#4
zTd8yW&Y}cDihGoEbi#y6XROZW25&<~nMvm6@S$50NMq+fAC|5A)}j}AP(KVy<mw^z
zXH!q4{svlC<#-%0IV&c?Dv2hXc%Vb$aQu_YsOtu(H=_fnlK!2XdjB6eZJhyRg8+nA
zpIr-q_zjafOObxE&vxiUudQ?SN)re*_CQJ(d26+-3e$@i#4Z4=AZZ5rQmPs%F7QhY
zXQM5rL(@5Thy^)hQGQK;8ZIpHe9&wfXIb^|=;L&;S%IfIy|0Lw%R?ceP)a0BrBG<9
zLpo{z3a8?of7vNxfDlTHDb#Mtx7`=Dv;Eb`U8P;Hf-&5;@VY?3wB4>n!Ib0BRH{Hx
zPM;lEQ}AJ!Q}d9%$<AF#R@sH<6;IEwhm_^?2Nl_X=f!7BUhi+`<L-sSWnFu-JGy&*
z7V5XHSwLR=EEIDVO>RiFf3j6M)yJK~ziwgy@jWiuPNmC>h{zI+NM)E7YvXX)Rq@qZ
zJae9u#m^e&y-18aI8&o@iE(*tX$ojY4fe;lk$9)I1AKu|SqPfHh=Rlj(w({~Jx=oz
zbGcKIbcVP2riACYFC>nUm&f8qMH+yYs9)GP6Vee$yK*pG<TE%10X=25vL5$A!+OlO
z^74bNJo)4-t1?lVf$mG3qnntR7-aa8yJ30h=kx#}`;Ob^DbJ6nkp$dH+=1mD6a!)@
zs8sd=4@r9Wv=(OK_Dq$$H(Vrqowp?&lfgnO8tkEs&RcNr21M`La5herB%)b@h%W(q
zD4YvH#l?a@|CbBk&tIFFnbn)+B#$V*lhsE3OLSHwy}@ehJ#>$WoM%SpB(pb*Er)03
zqVnl5!CdN7?fjmR_-8}C2Tj)dZEf~)d7brIWgk7;O3>yL+%5SXYZ%9Q#6m^eGSO&L
zcgV-dJYCbCs3TdmkEQ{bRmrD{Uc9y1x_psB9#G948;mnwJqcEQoU_MWJ(AB%M|Sc$
zi+4}x7C-f?MOH^a;>UKXo-iCCYSL0y5>@60oIZ(eYHGr}jMhaVTb5!f3*E8A5I2lN
z#2M|CX;IcZ9j+!SkL)UG684XTF$lKQCORlVkW%aJVq4%cXhO`VXH@P3Wq7xg<0@}9
z;`3p2_*xG?li{nsNzOTN68Y@7<^&36v4BzYl9~F6pM5Ev`sxMvoMWRotGssaTv5hW
z)4a#+)Nqel{9htw*C!K<78TwN>2PUDWvTdF9*n)y0_fLpjV^QKENdQU48iw_+D>WD
z&sCx-@e0<q5eoS2sKgo)H_O|$hjQIF`R(i4I3q*b<Ri8niNTp6vjL?jH5fL!T8=f&
z#oiokS*`R8I|I!;C+ks+44*AcViBKo!aRh8u1MTp^$7`?5P3ylX?@V%_xOhcL>Q?0
z&z~%e$Mm(wi@TpGAL{*u#XnUgTQT5s{;4u+<rp^94sk+I6UN+aratglu}N;)>9dLT
zYQe7ylrmpDkA-{8VK*Z~)Ed#*F=(A~N8Zr2Knx~7XtS%621pZnlxx&G*v9ULq6<_G
zx<cg@$8oh?8q0fZE}bP;45_F;;pzD*uKjz1U#tI3(dREDh@h#vqq*T1GY#U|O^_M+
zYA$qU@dW7z^aY<QIiN9B=H|L&k^T)7-q$gsN#xeHgY&^<SHsgUiC8K0$mJV&um1U5
z+7&^FVQ|x!q`p707p8L(c<B293aJoPXIF<Gl0unv0sto|FP{pLFMJ3jJ?0SPNWGbS
zoP=s2yo}fLnk82Awd1C5g~<Ogo3zSFZVKp7xI3&qquij>I0>Rr?$ZhtYk%$TzXD$R
zMVMX$)xAflEeJqTr~KqWN&+ob7k>XfPBw9DZ0OsnQ|h&q{imS^@C8oc17{_!x?y<u
z1+pp$Xly{W9_`}=SPX*_q~0t;<RWv!&o6n0YkY7Q3NL${5y|)kUyogfUmMrE49ew8
zIf>8yCjj)~2mug7$v{y+%{s{2Hz?OrHOkhCzkix@HYmMc>3}}_-Y7OS`=JWnKb0Nh
zK#cbOQj>tV>6|lmOm)4WV-L+usCMzGYwzp3DI<H3Gb^hHXoKjwF<d1Xl$B`ynC%E~
z7CgbDCCIaW-t_)a=J>TV5748)BG0QfhH_=TDl#8``%f692Z9ld-ToSBc{dOj99S|I
z1v?M0Uc9cr+^Z>vt_#Tep;KZgg!Hl)k5A1JA`%DBvjdWfpzxaPL2Ye31h(RCPcVG`
zP26?jb3B&x!yFqb=Nag&b%zh(u-@fBq{C{HUt1e>Lm`!CVI|T|v2k|?LC26(!*A(^
z+DrY%lMjP&v?8C*YBTtMuWmW!QN;e^=$sc<stSQ{v2G`0e<`UOkt0=`b|3_3hlB%4
z0>(b6@~7w6XhA-Y#N#{V{IG($Lj%kT_=c~5ol;bJ<nSh-cg0IA`wdWRmRd~S6&-CO
z0&iH+VIX~J0ii@$1@VUCe>x%0deYJ2K0%!KSurn?$Febe<RR{qDwLgA_XlNgDeCF#
zH(@{iW9_%gh`6odQ?Y`fxb4HCxEIS?eVxtylj3nmANsy5WowZ+Y_NYqrhw{UA@bSd
z@*)?c(Jqt<TfT2P&pl81ob}8@)`wuP+{iFAN&L5+r5}=;GN*S}T_4ze^X4-~E_<ET
z^<TT)(a+Z$SkI<S)98K!AYgvn4}a{yAl~;B5C>EjdI22^RNF2lm03G@0A<U3sb-=#
zT_z~JAyKD7TfT=PRem)h?|wG3%<<-@*B`9_+*i2NkPBp(iCpVMO^R?mnP96jhveUu
zUJGIE$w9#jz|v0@Eyx_n9@_t!LLBLltU|a2=THR7_7??Pl9@3I=qc12{F4!yRNhXt
zb?3SyC}B!!GFb=2ZOY3YZq9}CJ7*t0T>ahIA(Oy5;^H(nnKI%BaD=;#e^!lEd~6SK
zC5n)u1qzsek1BOhzI=o+ToYdvJ?6P0+QpbT03kvLryZZ5C`Xf7ul{@D6CN00Con{w
zt1S41TP_Ae@$FU&1KvOn>~3Dcf)zz2{=K(D{v*TXv&;uO425SY{>fhI|2LAcd}5FK
z*HUwQ0c@RDF|WIq1Oj~H3s-TzVF?b@kzwm?Uif#`{nr@mMWsdnuEn!i;upFGJFgzq
z?c?=D+#r68k3vv*sErHi9A4Q>J}}Q!h34xw{dF@=w_yp8fz66)@S2tC-yr#&%a^HB
zw|@hPhf$#{4l3SOeScLZ;#F@A5u20Vcn&YE<U<7A!QQ<PM&KBTNP3G9w#|B@(0ie0
zMCo7<==+c6SYU#%pd#e;K*d+HKkl3V>kaqW<2%w=9=@oEqYL64w`Zc*V2YqbNwX4S
z7*lBR_w9TsKjWD%clncwd{Ojw0NhxWH39wp0!+l%g%9Qb29<-wg-}3#-CqyQCS?s8
z43QE0mxxyYlsGEKURddf=m-!vSvynKDF0t?9NWaHXEBeU<llg39cqZY<bT8cMEXzR
z=i4vz>3Q0h9$;&YzNkdR_umti+$6KW`#&^ivdj?A7W{2@5U*el@3(OSkTA#!sTqS^
z-*6}XfAjoH0MR2EmD*!xFX(p(z%8R@w$q<!<O|Pi7WbH`yYa8$C^8M_%&-ExyNdrC
z+T;})-I13O7~doM`tbi`<p)CD50x)+Yt~b&h2GHO_3k|5YN&#WJ<NP9=-s);D1G&%
zi4QoW?-{fp-VPP}%eN|@IJKgYYjEE&Eg103;!OJg-w2;0Mwr__>ul<p+<1aZW}DkT
z|N5D<0nh>zY3lmM$PngQFN%zxnh>tvJ@j|Nb8H|k^E?0~qx8k5|Ia`pJsRj-mUgfR
zHmmfPqR=0<gmiTBp*NU&6CnA30`8p^AOlb>Fc+_4B_1k@d{OX^c$2B<`~)7N-|+Wj
zQcf+<5&5nEIN`1Mn<vM5_P}gpKjb}<5^<`5Vam-HTFXOF<3J+2|EPmli0<D6Io1>@
zyzSPn!HQzrpZ!NR#3lxAPZSLKl8=*E5JeE@O^%yvlACovBeX{P!0_MG18@2|jAZBr
zrsgw6gQt+J|FxSQ<@61F>0E@$jkN`!W;v%t0V7@%t&O`lBcE<aTvQ<$z!>mNZd2`V
zLu9=nJRO4GC>&CIWPsfJX7I3ahQ@p8>XxrD4lEy9gI}KAYam)<LaJG56t7TBa*uiw
zQuH=JUADMv7;{?Od7UV=rci$1tx>wc{NmdgAEk7#IaU-yedG6;ajr>@PI0_Czo!nE
zCWPPrO^eI==G4!IcC;3LfG!H}fY;oKYOI|gclzAD&KE*L^{5)&D4e4~0uSS7`G3$X
z+6`r{bm1opy{fTlh+dHCP#*n}t{X^P;zQHv^`u%ZgsMhtzTdst4`f=Y+-#gFvr~3$
zK~$|8O7{|92uP5SYREc@{27Z{`*b{`=CecF2!87)$rKY^UYn2e0pu`UXgbsxY9-<N
zKdNz~%{kD%14BR`P*nSaPqbh;7hiB}Nu5Y*WJ?+Ox(aOk<v)t!`iI3i$jc)DjFm9a
zFXVr@!SFMxd5qqQ8X%ON`G?A}WD?t{@%Y=gx>bWLO9(i<HcQ_ceHkvIiUJWxYPB95
z60cop#H?pM_b`o;xNjeV_>{}}CXP3!l%7QybUht>N8-^3LL@gjFL;CMpNi|)z53F+
zja~CsKrt*Bv@ORZ2pr;bv#t+`Q^BeF8iDPx9Sb8yvY(EMLy2JR#zzJ<NJAnD388PO
z6<!9ZxiO!oAS5WUV=U2mBbIl-$SWY#B-#q26J{>bJk66ofVhmNL-^}D;jPhu=M3p5
zpG7Zj6?_$o`u5S}MFG-eqi3?PJH8|D`rpNeL#k+RV1BR<M)EKajH>>S6=wDP`$FE?
z!PP&-#jWsO9k>BVHey4vhRRF>cG`8#iqYKU;}_@TLe40}^5sKnJ8F!k0}&PF7IZrY
z!W>Vw2(TYznT$?7NlOu<v|h6FlpK52u9s(pclIT8*|M_UE9F#VJsKN*Mw`$^4tap;
z_M^ROQQs2o+M9kX2Zkd-f?>GGk!RD+`>^H<0BZC3heocUE9-#B0RJZEas*E6-qMh^
z2+XFt^BYlv$h4g<j2uQ(fB1-Ht<u_}Nh64hK*2qE?jYP4Ok}-8dQUPCIE5yH<&%_U
zt6hRWvZvxctOIk00_`4*8b00m+BR+tkpdx-%Uyr$Y*_Sff=NLgxp$2c+0UuUePv><
z+Z<#L6;Dj4j(89_x#UOmzhlkhe`7bHXoGGMncH&zGatZti+~~!56Ffv#i??ndQ2^_
zKAdu7j|&)ui(c}24`ZV15EyKW$ywslf^P1CIEhd{fbzK1!D7nKG!&q#rCJx+)zBUy
z2>|Cl80$3#(=P(Mwn?48bKOT8<Ly~QiQBb1?;3b+^fo1_Mz>}sJ`Gyo2psF)DF8oU
zQ_9WHcl?~{6DU_SzrInD2?EOY?iB0OWCJ&7uT?g*WuEc$Do0Prrs?=tcy{w50FA$f
ze`^Rjhyok{#HdTs1Cb=NP%?tdx}r~!D!pZv6zcT?!sAmT^xP#w)-SE8BeonZ0fbC<
ze0zu1L(+zQ4Lo$CeKeFdB-Y|{`!ux(eiF^zi*Ik-5#S^CRCNLpG<rWj()b<hP^gR2
zdQ$#ZSEz~%D;ObZ<0|B8^O0h@5$QFxP3BT4{WyZuhM0<IV;XG4R@-@m&}a{Ppw%zN
zIuAW=x#g2S8ZuR{i<j`tT;bcKs;gRT$zJbIZ>B?fO*AP?HwtVn$r;A6jL=G2<3u@E
zlcUXn(;3#jgJ^rdW2#l6C)!<>ysysGGLKgLPx?r(r9eL!oECT~kwp^o?j4NCDoKv$
za^QPl5kN+8c){UQo@PQhzrenDv`HIv+W1^zLFxz#Tc<uHneN}A&`hW`S>Gtg0Qmyh
zz`-|AYD?x-h#`udbdGdAU`KBW42`KWUEB0Qoy|UzT>k&%tD*)t$5X10gyRSR@e{^g
zBQ30S&ucZ#h!AKa=|$`DfTJXHOeNoXW8d7&JB?>^8LVBWquwso!4ZkSJk?RIKgVeT
z;UvDL9Q6CprGB*lia_N=H^Kj`Ls}EkY%p{ZL~KKQfrY~PD4tkF<eXE$(g8;LhK`!2
z#x<x@x<{}0escaaRY%we6x98Q=(>oX3u1^2UmN*;50UmzsF(?mrUIq2q3<A_^i&IG
zI*l};_#rKt>nnq~`xzF|)!9UnLfypngrT}mlWfpNmx5W7U-v|R?fowPs=()rIx=&9
zB^e9PF)0fV+2{CAuaIE+unA~=4W&5drLxQtWBkmyEsU}1`aE0|S`Ot3H@bF6a;E+i
zo`wIgxnm$3GJ;rm<V5WQst7Jc2+qBU^`(ER;Z<E(LVL*i+Jc9jVqZ-0MQ!a`vuu#E
z=r^K`6Xf2n<azU+eET5|I(+vX>nb+|l@h;1%hdj_gUbI5u}m!1pR^-<hrHoiueMM2
zIjV;NdMy?~`>>!Sj)pEOhrQ|TjQDLH-s`co_mOqn&*n^JgGB);NEVT!Zqpv5k#%lS
z_EuFWEW#T8wNp9VpoqaeOyyr1i_spvUv=TfK79?`b_IANQUX=yt<{t_7;~Wm@5@{G
zWV2@){BVCXLvQ%?dzQil@B-a22%^d1CmfPef0UobSL&MW4V@*6^7F?a;)FAtITaOU
zDW)wz{4e$>JNPuq5Rn^-Cs=*y{Y-Ll@X+vh=k5fk2Glo?H1V%Kerr{Ua8mJB^fiOe
zJEZsl%tyqjcnhoR^xz;TMCB3}G0As02F20ea^cem1{riPHVgG^w++rt4*&f%)zz4}
zkem7sv3GS9<=5qOd<UxzQhTat-Cg7&e(RP^#X-XaWpRyMHHuSzWZxX|4!6c$%B#wY
zDL-dREzOHr=4Q>LA%E8(7U%Z{t?Prf)qA?jU8DxDdv&FCU}X|}nE7W8dK=aYqhGDP
z1@k$uy7@xxTOoR9mQiE0Z39{W<)=X>3s5$wqTKW2Zx#(`ExGs!8!UkjmWQM3zl#TN
zWBs#qm$nZ|Luj8Hqsz+$;Ax_V(1W(W74}OAvtl6j*m9p$6XILy$OKk~2M-I<GUw36
z1%SkXT!H;cc<&_%2xyUBYk!IJ-9BjAg!c)3ZPG8=$!qd@1Bc&vP3<l>!85#-G)Op@
zl||t~&Cg@}G4vu0&kur?Qj#BWo*0`Lkq@b}${L40hC@ys@La56UqT(;FpgDuJ2rep
zu^u!E2qtFzus(=Y!fkUtA@Xy6m;nKa86@hx9=aQN&SuqoN>*1=Up)JflUR$wEvm~`
zfl?ox)x~^VIMNi=Xrp(%fv(!4wTo_Wzx7id%jQ^?P6-YEYF8x{2CJ3%%IipP^KzlM
z+dMXuFxxhx^8>{w0Xmz6?AVG`@HcmW7AzP-F(7l9T<!UehtO!5+)xWrHoq<!vSy%L
zw0Vir#&A4yd^q#rcHZD2q5?0jqFW|eWjN=92EAWxPy8i$bM~5+$}p1q0~%#eMWZ7&
zqGUW`%(1l&yqwUP6<6zy!H&>xxg$8QR_rR~KkgKl<x2(?P%u59)lhKW=zFd=51eq5
z+ElVK=mfouhzOShV%k?M8A(NsaA85^?n1)nq)JDS+(j4AX(1op*&LsIa=E^vCRiM4
zK~+Qs(x5NcCps+lbzRhgHhEm_vxl7RNRIr+C||Axw_|?L%UXq1wgR$MngaKBsWE=*
zR&t!CIqx2BOuRpQ`UF0YVYN$1Rf*Mpw9@Ucw-Z#>9Bu+?VL6^d%k!%3$-N{xh894w
zKN*r8m0W(oy8gn7fY}jEiSF`W*~Nr(CR@&)-IWZSU{Orl{XRydaSU?Y!yTtIYpUlz
zYHH|?un^{?J!DCYT$&0&q$BHG@c*oiA7q*Dc%hEIVrH1<qg(23uv;MAHT^*hH<@at
z;u1#?-Kp%LN0<FnvMf^Ebi3ExTsBbyubCWRlJg>FIa*x*)U9u<R!z{ycjj)uVq~L<
zLK}EXn*CKM#U?e(;PTs!*=^Z1o2!7>#hEFLwYp>6@A4b$_;PQl0OQObYnElWD?qf1
ztCKQe8GRu#V0g`|H9#`Z5<}0QT&(62<OBN6A5jJALG=p@fn=UjzjmxBi!<5qc-H22
z2$fo3_L1S>Z9URUey0#n&+<O@A>iQCLo5te!h0(65%Ov-NDwT5^MH%h^&r>&Nzw3K
z?hMBHtq9}Z%d4LygZcXBBw}7S>-z!stHL*eeV(H!2KK%O!~0scd^8%mid1D45i?7?
z0Kr97*(<bgh~hdkWfj?vsD}1u%h;svl;%KPt@oU`_BI=72>7@zw#zF|3e%c)fYE`A
z>bSPi<_qQp_Rb6U@_WswWk9_2VIReg!S?I9=90iBP;C8M-d>Jl$8!41!<VkmvWU~&
zBVgB*gzX2CFbGAU!11fO>D%x-CI^$*c5Ipgr^ku>MxBBOX|(vnWf|t#eaQ{%3JeQq
zcA9@+*4uQdUfJdcDTCo(*!tpXaRfox_}*k~XRj<uV*|3sJ&@Z*J#Zs^Z9|{%^hpMW
z9oHrD*v_mz<io&Y`Z`>|<?m2S3=tHt!1}|Bx=W42Piy|zvowaXxi}AjWCYi>J+!c!
z%PHhXz;Uw#iVGwPq-ostkFKp8;{e#NcUkVnu?T*mvn?vv72xM|TMN_^K3{<IHst-8
zSgI{tEGttGT38Zl`(vY)FRdD8K4?d_HZ#$EO6Azt!7fwl9<|VAyb!<!hNs1QtyU<o
z)p8;*oaLVB;u`q22YVWI(fa1C`mL{BH&Y%fM-<W#K5;n?((-qIqgA}0MRz0m6s}Ty
z{=FQ;j%?7?mp5od*@D#WG3N$tgc4pJ%DG-bcg6y^pz>vua6cnU9}ydTF$qDM>{r61
z9(5A!Q&2}}kMS+<5x1E2nIL~V%N?Ol(0avj;2&Wl6hFn{$QOF+7aBg01Nzmvsj&Nr
z07qV&EVpTI?LBLjA9c<d0Trz`Xks_@)P_tjl-nHJtG6~TOnJlQoUn(03c$@fkI=TV
zW0rMMl#CAIxD8f1-Ez;<jp&YKn~vd8N-mS`{mhro5Cv78?&_hLQSJNoOk%+T*t`Mh
zn929LZ3gQ?$1iHOs*G>;VC;=Ix)v7o(Ud|b>1<?G^B<GI;DTl=eEqGL26a<{-~5`=
zr)?A$38LZbl@qIWhm$-l8dK1nj+m1&x~)I7`Z8Tj!h=bpW;=a_KT_oCx!n&IQ!Orp
zj1KzapTYO`uH@jn7eU#YWrp_2<Oqa|i%X+5!yG}^1Qu)3U6baa)Xbw34)#lDMr92t
zVYwnddY~Y&AZqrt{)+}ov85|1BjO|4dlK-Y%rQ{~dr(S!g?X*=;A;l7+tw7FV5RoF
zmx-oW9WIp~08A+eQ#!}uSG$*#<!4F3oW9kxsio?mawfge@C|R5Gh<v8#PXM&UP!r-
zr<8rTBUL+H4kCFgKB??Jajo#pqJ@VYYMJTt`B>JZ*-KbWi(g<SH<g!x+nwwkc4^ll
znEl|KhUao!HkDtNyU0GZ(Hwe%;KJ44xSG0kQ^P<vHg}>0kztyXvW$`3TRXN0UFEx7
z<xG9MgW8WDFMvtLB0DDV8nQ)Q!~sB^kGYH<cc)D26gW72$s-;;LVnpfJN3pHinoFX
zHatqsVplo(y;h3ZRSLyBrgrp4XD$N!g`mT28Q8?O-Mm{PW9;gg7}xG-hYdlcKpcuU
zdY?Z2SO0zi0sQ!btvLz~J>1(DB2H|bGqgnU)ISpWJld%sWA)$m#k(NVbF_~DYQM<E
zm#}Tn8tyN399)e`2(dBPE0gHFaAA3}1_C7YtmreVQN4L&PWD}kKk6L?EG8T>LdJxP
zkuEyt=;IsVvH2T6L0ySpqNz!}y{PTWP`4Z4%hd)f=g64VM5^=@3*M|W=V#7i>j~J`
z;9y6$nD=*`rm3|>F0%^x<sFyc%3TkJm{Iqt+>{0qP6AV%?=ZXa+|*iM8fU}-W~cjU
z=vyOiO3So4mi3}5<2FCUj3269T%X1t$DP(Q<Mg8L_N5(*JJ#OkkCGPji~X5Xed_s#
z?bPvk!gVji4`?Bd+`IO0p&R%T!@0hDyvdN)Q4zsF@pfg2z~yIM5PDZGZrhVPr^k|n
zbhcl_I_>olN0``Q%r%?244@Y4EEG-F_eWLw-oH3J_GXm#op=)<6?qUCyq8SD+o>tt
zBDD&~-Mb*a*(%A?tlAw&=gjfavQM+YKsU@yCD@vDD?<_VEB-k7jly8rc~WMUBh~0=
znG?m0g8KyB<{+x60`hg=^wEn@`MA8{%SIuk&w3h$;^o+mv%wPPlE2G8oZ<8ypa3FS
z4|B*>%r?PNRZH)-eBTu3@qZp3fmRsYN$lC6iifpnjLtDh*z|ryFuq7Z$=B2yo}>4$
zy8by!RN)e|)59=lLe`Dw80rFS-_NR_UJ{Z<IVuO&JWU-_YAhjzWl%{js%t(LrIUke
z4wAPVf?fh&{=D6BTUgWDy}@grO$(Q6eus^yHl14DOf^fixC|BXi6|8_!dWC}I4e;+
zFSl4LU%;ZMHQLVk)3`#E?K0}u92gB383C6F?9TL(w@fLdMKzX8jPBnF!be9NA?;b~
zU$zyR#XQTC=C`c8?=(<zGa~zjVQnNQ=g}EAgSm@0MkkA#skN^2$)?&|ONtaJ6ZY(!
zPOT-o**>j(4qn-_(-lBsgt)p5`<4xmx71Dc0@hP`r-wzs!&F-~heZmuiBGr!)833W
zpnAA9r9+q^Jw*uNTs2w&J%8->?Ql<zdh?gNV#o_p#J)>)30D>rG#51jEsp5PO?)Cg
zl_fA1=cc7Q_{`|dUHGq;<EEvj%UP-*rT~8%D{mOqDsEGedj&n_Gro~P@B3TlsC*8c
z6y*$g0SyB5SV46Mmd+{kZ7<%q?Hh6^D7PKHq;%>8asW9#smZ1^E)<u}RDWdfYnvsb
zRvh`ho||T<sXKD}v1Cr$md|xcQ!T6!k%JrV#y&X{f3J8@rSs8rbMY%c=A+N|wjt6p
zxr3^9ZdairuF5Hk)UMGxR0*O#3FKqOOXz-m<v&6L_xdYFqntI<DO`{XEw{6e+#91s
zlT2BvE%)RB8+$iw=uK{uf<17in4Swk35Blrs7^|1^wf_KmtGmFC>}hiPYMvAf)B>=
z*0L}q*zl3h+yBNm_}UZY8f-kyrJL~KU8RWRm(;3t14*H~od^yk_X)9=Ki`v$UUXRc
zCz)RKk1Nc#)zy^5Ff0?0DW|X77zzH2v{{-$gW{85!A4-pLnl<R;VS?K6_IL*nX|}6
z9Yfe6bAa;Y50x*kg?0~6cerkptI@GGhW&nz!JA5cia0m+?>AHh2>dS>02r5J?ACV5
zlR5`z%jodBwi|p7>EFkO!Tyx<DpmP@t|Jl&aEv9>!m0hUTT-@hkFIdN?7?s#X?6Ja
z5m9k&Es-1Aj3!9GHv_;tHcZL}XLUS)P4UG5SPsNTZvTyVakG<ua)l4I+&$-2B&ek^
zpPNrKv#3HbwjdLWpNh6Kb6&6ghiQrn?dT|wSjaML&8Ebx)gZ&SETxg2OmpkTc5&WX
zbhwKm(~+=pVpGVNX12CrzC5M5CNHvteu|Lq>+vptS&k8uWC6g(E@So_=URUvP;a7O
z{?W@zWdHZ<9FE`(<W(jQ+|c6UZQT@W`9`<oyf@CHveMUJ0=EF%!8hPk-G^%+>bh3b
zK26LBcAuaATGgW)<<($~3T_5#e1G2M<zOGQzcbd%=WyH!i7^>n!j|~$X0Iq7R&uel
zHetzmKDVu)pIW4XY4r4_mMPov*Ys6P0n-8)YO+yhp)|r2J7k9<Cp#_;DC%!R#S4?3
z)nOfGp&Qgq;7JT4{j*SNm?dOah1*~7W`7~CmnlaX+4nW=?D>GZA8P{hDV4HUR8eFB
z&-rwFqg4VzQ-U*UR3zw$MSZafHe1Ud)sDN?4uIoQxAvlg19IUBqlD?fv~THbyg@bd
z#(IzHI*UEgvfu0w)DU{fjTSI6I=yBKUOxq}Lqdft`2myz@kNX50QMXVTE&kws_1==
zdiI-_2F{WKc-cwzG8PA@_w!=S4eHdZ<)J7w4sO@u87&ks_T()Or0~|sCYCuYaTPfD
zB=L#%n_FpGbIuY+QC;tT_&Ot7iRgmLdTra7g564Z#Y3~<`gOa3;bO8b{{e#?irNaN
zb32f(PnhikqNX05s49XWS|BaPEDjWEWIyyp3=vR^R_F1fVEw?SAc5S?s{1FON1%)(
zS(1+ZK%W}#rfEMtq0_DZD9XN%^$np4NtNcRgp03=PX9E7J4`q=wS(f;cx2-l8$MK}
zBO7hp*QdRC3DlIgRUaAfF0cPwFtB{AaY>YR2S;Ma6pMJ%3bj1blqK}X+(R9v=_~Z-
zb&sBQGOnuY|D}8dz6~d4FHdq5%*_H418y`BKl5iz5Cc0rmraT;*chssYxQGgm%q57
zP%}hq40S;uf0U_ux>ZtpV7=T$A4T|N)zway5GJHwjD6A}Uu?%$jV}S^vN2Od=uypH
zntq2@2p2b6fD)7hKM_L8^7ui5an6IW8{G(U+XG4e(D0oLJeKm?E+2gBQ8sim_jHA0
zm5-<RtxxOuhydaS{@fQmJ~SId-GBy+$~u^)#K(7#+fwUScS{Ypqkax|O!a0s85*{H
zmZD!Huq`{&Mn~@`CN>0ib{1_@d^?6kb@ol6R<zVxrHAVI(^EBj<J^!`%)PKi_mZO3
zBAa2)c(NJczC1+*_I*n6&PA&1PO7QNxZc3nR~2l|=6%oQ#S-6whb$7SMs$ogCCG^2
zwHM?Fvm)C}Sn@2=pm$Ddcf^;kMK)b<y_n2yemJANd{Kka(4HdOiIc(n;<`Z4XXU7m
z(=YRi(0x)+8XjTGy`j`OCzSHCuU<bGJlyE-ZXvMg3(nl%9M<2EJAP6T#+6jVWZ1Jf
z65G_AsPHJ#2oB=$;4wT}FeO^}3T+|~dt{xa)RQjBA2l@E4Bl|$aQH<tJN8%SwB|wl
zC_jMZO@_k&$(ktcN@j5z(e5$+8WGA^$~tOQ4OKou-WJ;?8sTk~@8)YRov@jVCdzIQ
z+Ol$b4k-BXIPx$*aAtVUU#9#che_H{TeKzTemmV}8)z7?6F^TYke{)ChUU&@b8t>%
z%D_XBVTuvJ<7YU$_7M>4xY8V7GT$N8jOKy<aGfl?4zG&D&A?Z_dDZ5Jdm5$@*4zr`
zv1D93{Hz=8?{CO!xmgjrJ9-%9_<5TrvnbL5!m{BP#__Cr)EHOTGVDIu`=S1)H%a4Q
zgrIwM2QRGaD2@1~bA5Wvvw}XjU;R77M+I<Dp4c%<0}w}nfW_EXT|4|e?Ty(giLGL3
zYr|b$oo<X!fJJbPEG%P4xz;X5GvmYMyc-WtU;u}gfo!PL61U=bzJ1y5&a1!tt+%HT
zV4GU8?F+k*_-C?yHKG=a<WrjK0oU7hIu)a&{yx0N0vmf+&X9+dlxru;;a5^kZH>;G
zqr5d^Kxf$)%A%&92&eh!+tiL5@yos0p)_mlkpC@i!RHce4iX>4k!EQcKs2=X=7JZg
zZYkOS!eK??mDvy23&jC-FiNS2p5dGsVJj!ymX8eBoR*e=NXe!5k5UlNo{R9(wE*6r
zu~q9u1L^I-r>txaivbVdHjoXj&ll%=Ntii|<WgFkIe_OaFXP`wat=6eapA4UEA5oC
zHsN86eq;8p?(_#-S^G36Wsk=kQDTOy{;Yj`WHP$_N7vW-*mXLqGuiqQ*mgf}4b{Q$
zCu=LjHl@bQ08@5sbS(Y&1C4;P!e068vp+UqM@PNs4|lsevL*psP)ZS2+tML>=&pWH
zq9lG_TS?8mVv@{Tc{Zw)nTQx_xEysJ)=}2jhO1NGCt0<50@$6~tk_Br<N<5JKIgH9
zXSfSR{n;mtY;0w(8Y?y=Z>q&PzZJGX%w+f8y{15~DDk|t%iHZ?o2|Wp$M=Q*W;PFi
zGy9;}%L;SbOt5`Ow{lj$QFt_RKX^(>F;&R!z4fEU1oTlH4{azG)^-mO?uf8U{9<3j
zp}wAWik39lqa^*nWHAq@hlI?0EHam%xm~l0Ot)&b&51=cASYnF-l-&hn}!yUjyzr{
zWv2S)?;}!8MTJ)k`tx_j-c&#JH2WSMz8ghE)f%ZE&z97IZj~$Ut$|a1;$Aq5TT+t9
zh$`=hzosHKQK+}?Y!=2M7;9+4;(uNg>ahIdgJ2s{uzCPbC24p^-uG1^BixnVvcO0Z
zw`Iz|PyZ18S}i4Msg0BYT11`<>H7%7_Q7sak$8~0sR^im=@IjnhJV5<%Ru}gcQYNI
zK&`iGi0V7c)qknGr0$LEQ4hT6v7F===q<CQ+_f{Jc0lDMH}pS%W$-%(R)A~f1(P1f
zOroNT;#Rm)-)5s@3C#juDDkR$qWon+yV6PE@-npI=zSgA)HHwtIs_F%tk+AIj4#t#
zA_L~2-t?r1!gh!mEfNN_&$2>gXsIr;QD5>bj50z07S{U}{goR^fk5_0U3&;T7JNrF
zDhj|ty}%fwK^0?Loh6Ix`ulu(jiYe^mR{<E?Sfcf<Vxu7Ym^Fk$v+vRY2P2|9$wpy
za7bf2P~BI6H~>w6tAvn)&xaZ!2U9_RlMjfRZ3qN@CuNLfQ4x`CRLHNx{OmBM;K0Du
zMIS+XQ$~e%kJLcK5)gLzfgG~(%>m|y?7+}wcR*<*V5A?>D`51zO{(jikIb<@<EX4L
zMe+xcM`l;5cHo^2I5I<kKDlf7{{?^lQ4o=4|I5TU9``<eGvkj)I}#~YhHg$(Y<IFn
z3gQgE9mp?fVq@&`7k=<t-u%bOWt>yb>Ns+j2l7IjlA+O~kVu1F7$VU7cn=l9hwjal
z`ssq2G?1bUNUHQ$n@*79Sm(?cRnQn-TZKfkVd#DcLDXX*-(PPsfU+Tst;h6L0E5tZ
zSEC55WjV5zf5g^93@uf9;>%o9s)XGG$oIm2J!Ju0A9`1@TI0<41)G(z6%Wz}aa8y_
zE|;z>D8Jvzbmg{ptT#^n8F)cR#1KTnet5L~*s(L#)+6x-lDC3;Hm=YKdO?H1s=V&E
z?}Op=KE$>(My`Svpf>h{Whh|;<YmY{qb=p>g0VNXgC&nGk7=~kddg#$GW)6GJqT*H
zm5M$P&lc`Ef%8wW5MM9N2I5X%u*;V%G>Ls?1`e)!NJ=)rPe@`**rs%3^Ny(RV-A7P
zYo#oCZ{~tpE{G~KZ~Zhi$DdhMlRTe<2MizlSt1X5%5+4&;Vq>gmNr-&_&_)+KH19^
zi@UJ0LFw)}Z&B^#Zu4I!dZ50eE1Z7@2P~p|&`3Cfb`$an)w5n97?wi#sAGP)ywt8C
z*G{f=E+D)C^i8ZfdiMG&>ivE-uGe{y?$O?N0k_bAk7RS_pr#<S*?=)-(c*;7Un)*B
zJzwk!6Y0sR(HGLXtHKZk(0z~Iw>o!SG&uOZrRZB^v(XZmE3O*kkNHP9zb1-VymtGN
zf$0@rYKLeNZ8b!}SE(P(Lbnf!)E~^TO`|^DMSohNvt+U?b?e>ff6vVQNjL3|LK80h
zp<O()UBhy$K9ae>8aY#Xz7(Ofub_gkj_xWi7y!0^<n#QVztamg1WmW4bbdd3F(^d6
z$=_{>laTUQp01ymA(M41u75BhD|nvU2=`&}ua1FrBLw0{Ce@{p?IAYPMd+E_v*ND7
z4S+mrjHWha86Zhe)n4#}oT+yrynNPjPn1NR&s`sX?gSysyNE*a?}hqEz+J}=FhLYU
za6QdYGC@=-)1*k#faY?W@r@aJFA;*zwz0BLDJ)^HHDgM`PLjWUbmza@vaRVj`C3YV
z5H7Yvjv+i;=gN-ZeLMDhTqEYudknW`<ISWVyEvg6fc9<%g{JtokM$en3q5D3qund?
zZIs%`w^Wx}Y3w}n6o_PV^{rEMzq0&bLfhVi)|>6h%52ZYH0Rd+K#HS*sNG|CnL9i~
z`35E?#3CXas&lKaS@5nw;k9?$a+E5oi{_pP=60~5@~+VBO)XLbc(x)!>?Q1h!TH!f
z0scB$Qibd@4vWiPfaj{pTXz5>upNK{{I%*~hhiV{fCsoO?{@y{!vbdZkgzb7HG|IK
z%@^Dm_4wsWFUPh2+Ki@nFiq+Hejx?uEW)8+HK!__PRGxZl#`WT=_%1&vviBG)kW0A
z@y};875bc~h4a{%yyw$i#Ir1$vkga=IASTuqeAVBVsY~vj-@mXA3gTaT4MbRR3rEY
zxUmP;2?J!Edr6V?(Dh<)UvEU(pCjjk7@x;P1MkCQ^%c!d`Eut^&n*&7zSo#+yzfVY
z(eP&Z+r!R|8d7YqI83#CDn(NZn<R6_!X4WB=6`8b->|g(?zB8kZL|bC6KrC)>#Ubu
z;x5?0B5<;DA5|54B31mQKnI2o12Uo}yX{&GL&2i~mm_hXy-U6*DY5yWlBu`(|ET&7
zc&Ow5|1*!wkUdKwD_NHv$|^*%x5z$wot2%Ct*i(QdvDH&LKK;29E!|4>zw`n+|~E{
z`~E$u$0MKhe!t$&*LuF*V}hz{wqixd6CLigz5ZqCD9aT5DpB9yvKv<w%6PLRODq3M
z{}cPCzyapRK7%yJ8&O>Kb~!%n$DuMOA7&(71I%3|h#+8plKg2F0+pSvad9-k&;s9#
z;bN`+34t`hB#3Kq`EJAxOUY|q_!<^sM1-bPh?kxOAs4GI%#oN|N#RPa5GkUmJ7#=q
z{HNxd`6L$9{r8Cumm@k-!-8bc2N`<KtH$aiA?MUsIt8Kt$#c|gLaZ=U9_@fESM8+e
z&dMZgj8wR+u;O<!`$9M{2XNpB5PJg6Y$6pxV%pL|0UiqP3I!z<2P^!+nYk??&dl}`
zq4iuUOo_vyP9&v8X7s?F>_dPGO0FoXsDTMGsR`dKpp|Wqj`#DPlJVNnCx!Hbst7>I
zG(JMN3uD4WRh%xqEY+`(-qdF-_uOAcq<9QW{2T$xh{J;{hW8}SpPbh27*{!bhrEJZ
z=7ODBB7^P(GZ7iCvU}Y@nDH&!YAO=CX|r2$t~AJ^NnlVcD&UxlTu5Cm^bUIv8yDp_
zDs;o)hH(1CaP6y5f`%@K^BY<pCYEgj`xk8k-Y;H|vZPxF(N~Fy#n4R2AsW?g-hi8~
z6V7d9yN?zDdw`%XpR%&PA9r}(nuJtjAH;!vddW<d*(GwpPY`YSlAw`UB#5ho@^k1k
zI18mEg~N)U^`l=<vC9g#*9xDle(|`KxX4UYt4P>NMrng!b>T>EeqJyHoE5@lcg6|@
zO{1h=do@d%BvB#sNRAROArKTfodjG+j=>dz`Fj%7+xBe{H0Z=$hpHQ$?|m>Et{-td
z5sh@MA--R-`TRQOu(<l72b>y8WfoJ}(^{Oyu}1ru*xzupNn67-y^wa-6ZYxk36`eI
z4LgaUM&DF0#~nRor{$w+6H0zAOM^Xj4*Pfxun%7t?dJw`6t@h19Dd8FODKGnE?65P
zmT}vGPqo^>U1pj;%=xuSe&3X*O=ERe@rsd3ProorzkyVl%aI^|^CcL0Sn|WVk3#_+
zDpMhPg?A{a5Wh)=MX3>6yE)m2UY}Lu#+N6_RA}F*Nd(>Jq1spGrc(;i7Drb*sCVtG
z7!^dC$*@#tL70?BQbTd(voH0)hN_w!5&<}eEu5C1waLer3FU!r+~*4sH^jLQJBnK;
zMHl8O6oWi3+gG3KNMp7SUOyI1^fao!qmcLxs|lvysUJ4m1PRsb^qM7mx=|&2WtleJ
zY!4iMz8u<deRgh75=Og2jl2Y-^}04qi_w#!p|mHgFkRlLX&8^OmZddHUxlq`@4yK5
z=CYgIn&?Y^m~Wad9yF+m?FsSjol}426RzuH!?N~R_IIBDfJebYmj<o&{}@^Qgr$C?
zBvH^uiZNThE8?_-9fy4nA*)h6kI)65-ex~}kZq6S*+;j`fjs}Qe+|3kn@d*L9=9*~
zrLwe9T|xsDbZ_yIJn!W|aRsPjBL$FgKChi#adExTM1joNBBr%9?WZbxP^=%%1oMa|
z+a_dZZ(u@--<Ezwb(NZg^!M7H`qawAJ7He0c4dOE|ElB5a+#~MBJe7?e!pIDDAV^Q
zITf|Gc|CsnyePYsiv+2m{za{-;oeE!XiTYm+h_h8@YXuGElY=$H&qpIMAxnsHuf|I
z+dZn-1@=uMDS7**31<Ml@hh^MsgL-$*E-4*AEs2+%NBD@4KGg7HJL3`0zhjiuyEdB
z3@aysRwHCQ6KrL~9!1?TBntCt=MHRKfA^wM*80=uKt2~y!sEy@3wQxsoaFdHkHd@w
z$SlJ0J-pl26vpkXUf51F-_OTGZSUnrB!<S-w!@JjSnj32we6u*F{{d6b_``d+~Lg)
zpWY4OD4fxs!?vPAUxq4@rnXa+Gbzw2uvjMYtlfv5&4<Tf46rXP_}iXYBs~JE*{^KF
zz0md0>`x>$?2yYBYFSgNtu~Jr71?Da_V607$2%zglMkb^qF!gXH08`8ejVrEpW%k+
zn3<C>_Nwf)T+f(3fkvX?hU%#;wnaCBKq5%(=ifix7~1C<BMcY|O%gia$u2Cn7JREj
z`$bwNikdH?St{{WWF4T2-1(%76nPsacau5^s3H@5%u(p<?eEEm6k887?P=E85fcnU
zps!zHSNI@vXUJW7YUK@i8~Kp-&?1!;<Q(N|sC|+c*zRgDBu8N!Lql2Fw{X-+tavyi
zxzGz974$sjxFq*7Nx*)lvgaZJ4$cp%1Ja5A7Qiss0M8Lc!#L7^;gN~d@5>GZtXQlI
zf!q2>i9y`l%~Nx|yK`kwn0H~sfH-i)+xG0H;03YNNLLkq;<;dYVu(ZE<HA1<D`h&A
zhagoCiHjrAb2&?@>EV=a(U<9{<hX~ygqx(NtX$8^iR_UmhE6hdrY1}&c5_?{?UynM
z)Oyj1X{)5%mAJw(h3lXrJ3~9y6pQ6^@5>5rfdaCR4CH0zh!YZmw1HVkCv;|?S@!He
z-Uq9-&o|uk&5Ii964mn)K@(R=ne9=*!U8GJeXc)*PtFGu=M$JES^nH6J?#d{#rFIB
z6R=c9(+Hh$?dqc#DXy4{h<&G?tjp&rK6Zj9>AODh>P%AZ^KD|0TzNyALzl1JpPg?O
zr@QQ!u#rUK_i@2bC!B**Tj;q~$F^VP8Ov11B32ri;^$eZ_Yx>Ik1sR*YIpthCAk>;
z$U?OUkuB@D{XqPL{gxl_yC7c-tSE>TI0M(<;OwS|<ff1n{}f>kFr8^}B`u!X_t8Gs
zE9cfmyx~Q2?dr{|9Pi2^CrzSh(9{J-mJ|&S_Z{QMzL5HbhUxfO5=y*1W&>2O=5u`i
z)6mQYRmQ|9*%GHgxH71#JY0+M*p3>9&Wb$wwY~$aPf|$Q>b@yFmjkGNuelTp{eXr}
zS*Y!?)J#Th5dpc2sr88@?8O-Zd(3};<#sQ?9n=PdHCpafBgeswiG6|$F(CKxZI>3d
z0sDwGup991%gLN2Kp4K!gLw@5mT4U@vl)AFeGOM2Ve1E$JNvt{RpN5e(a&YfgC(uy
zvqDniOHYaRDe4zoP^#eZ1zdD|c`aO%1!+#4Lx*t=i^3X^0)+>HC(%;xqoo`c#oZ8B
z^)D4xBuwJ(v?;tscf$3`{2}%pM7nI&C5~hwhwyLaC$IaD{a-e`O8f`R4y@TZj<NOX
zskY3tYD4t+X49GB$%go*kAx6jxoNTr_a!_2kuU<Dh{@stPwkk8I)Ie|?9@v=k(!L1
z+f_7G^0zKoe(FL`x7LOqYC<MP!YRVz!@gc`!!z`JpJZcQ`nH9ti0JrK!u$qkt*jtY
zT*HVd>oIy<TLIQe9ypmY{%eNrGtts;`JL<BPe9U0CL`R{>F1x9>6|Az2<!$V+lVq@
zoBv6xRcEB(h|3iudT<K(I6NJG4Q{G5tJ)bq6N;y*K7SA<l9iBi1UbZ6q4uVI-Mp8Y
z{?q@T8JtLYE`A+3QE;O3T}3?gQWXD52K0wMuZ`?S2(nv0lMH=B+@B3NT@^3Qf*EnR
zDGBAXE@o7t^~+N9-yC`_GC@l&fN{35=Um2!iLhD!IDCtJMl^gd(`RZQFQOtX0iQ5w
z5*QVh=T=)(aM{rflJSND9E+vSq|X-4v3;0J)JR%rv3R8TwxJ897WDL_cVPbSH@kqb
zP6%6rCtq*FvjQ}uL0qRCx**Y2p`s^m&nwy|#Jv8>uY&*PV!ie?w%Id+Dz@)zf1)ZA
zO#krUTn$K7&F*kZBbItt0hLRJPN6)#37q^3{1oAMghM=zU1uA^50vD;fA7W7DymRY
zkw>A@fo!v{pl$@GK_6;OO-UQnARVM47E=Xd_yfg~MT&t;7DI&y((?cIav?c)<0DC8
zW8cTWRQ#H{^d`B>@}a9#k(%A$E!DWqxsIML13Sd)jW5Q4n+EzmsW$*Z*;x6#t%#f)
zg1mOQ6QfVT?hYK}2e4R0@g8xzlsl<Pg>ot?SK(}Y>!?q15%|Y+41veC;5z8neEDhU
z7SO_t&^vL;{W$8YftPgKD=uoxp1|QGxRKO1_}UL|Z{LOgFiJf@5_;l=R7PI4@+7aM
zfSL*>;WAy9yA^X+gnlBPDyXV(Q!k7aG9in+Ar3AkR^M<y2kSh>Nkp|J3o!kL!1ib(
zAi*#;G({PX@la0{s&0BCPrkzwmkKmkKN>{TlX?W5@1xGj!L>Hl+ZtdpEhvh@n8JW<
z62jHO8pE36LYUH__!68cx3q|9UctEre|Czzp`u``dk~+@$G;toO_P8JDI_q-3H}d0
z!L8P6v3}G#jCZepuX6QQpy{}9Y$zWibjFSI)lnQ#Ww<DgXAz4&n-$6t=_sj$?^1q;
zL^R$d0E*ARkANed!o1lh1@D00dJ}5i*l^*E>!8V1?KB6dPFS#P&~VCu-w6QYL_Ca#
zPH~r2iv)4(XYD>|2uaT93k7_%rOpK1vZ}hg_%+6g3mE1mgDPLQ2G=@6U&SXFoZ836
zf=olgqzUst)WoCkWhEcTA?OzSms8t69>}p-3fv9eh1Y6Yx5<&9D&5@y`@60-1v7SM
z=J+J>-{XhOFz6u%5@bc98)J#w!hW|GMD{_?d%xeuwThxj^=z(&kNfO%@7J8;R^D~g
zKXj|MeW>O8e*b@nyIV|I5u$6jIV+=ID_Du8Zps;xmac@!PAN))*O+Qtod@9<GM$O;
zUw$&4C4VLAQ*Q{6#=`!-&!*0=jocwJTROT9Z-qAlQ4k=@WbMZxkfsOUqTatf6tRjp
z)t3g}s2pn8l4Uo$=fB%R1H$1eHa1NGj`%^5=gQRJOy9r0bDdRBNo5HeWPM_QH!aD-
znfxQPXB@258b7DL35?JJXfMRGUVyLC5YUpaW0aF6=|oQN_cnvWr0D<(bekfn;fv54
z`#9VGqwR1FcJ<Z|wNmUvJ?ToURF=3Aq#zB?F6%5MnZS=AZz<q>em!?UfauZFbx0;T
zHWEr=H!vxI0|7k(vZ7^;;PVjDuXID@{Nv~JaRN?Qr@nR~zv<}zUOKy@wdo3UEjzA{
zR7xfX$FnA8zXv+#ZQzFaV6pwqyupiW^R~+wxRug$4<mxO<7XA%Fj5+GOs5NGpZ>b{
zCsFfgeu6+J6Deb^4PZ658aZv*<2%_~?Pz`C_11l=lJJ~w6UWNo)OiM=0_Pe#RlK>g
zJ2I!s`XqhdQ+8dbQ{Te5jk~FU6-pNQ@{P-4QDG{0B-(Yof4q1L?fuyISpe|&X)(tH
zdS`v4ndbiH;_L^DT=@~CJWN;k2uqBm(2WqSoK_Y{RQ%6e01oC3vkz$&0t*Pw8F%>_
zZG!=jyB9^?b#p?>K2iS(#-vEshf7l`@P2^Cc7ojskc65+6pIsVah9yEOSnBe;<UpQ
ze0D*;{c7_F+uXM$9AKD&kNNhk+@{gzRKcUR>w4Q^UzU>F^&T0_GzVTa<f1=_6XG<E
zk+te6Jg`-GEn8#hFv7(3KyW0$g$Q;z>yn&`G*wfacM)KBD1`k<voEfunxV^tSC*Oh
z18zAC5rsAO>?K>D0u-LoZiX5Tj?@k7v^5v60vLxKK@<mmxwf@jgL8j+>G3u-kRO;j
zlTO7pb|O<KFZ7V1-%VR(=;X4Hk7LH09Se3fFMa!`zpwoGQr=LpFbRnD$Mhcc@lxsq
z<%iw{x6Vt<5uNmAsxxoXI#XbmfN|)5(_D_0hlSNER>|q)H;DMJgz@dMTT)Vj?}KC)
zwN%<J{mHlwG-}Odxu*38J$h_z`tfs~Kn@X$xu$^I|LjpR=ckIBl5$rNx4eqXdqq|X
z-Lone7Zw&XvZiZ?KOf2%{W7c5XFzCE+Oc$~+B?M4pRk2@E^7s!vp|TN>giW_M_to^
zca;hQUk`vUbjvZ!0)8`D+gG3Dl|X;h<%yx^-hdSxk#<wWrB@*f8SvkOGeOZf6L8RW
zI8SYmJgqBEN(*c!g1NS5T!jF&Q?f-bGxU^X6f>u5OAAS@l1jPQ#T=RQ0d$dKkMCj5
zvMdmmXt`DN^U=(Qi&DKYC1ilHugf9toSOgEQa(A`t(&8^1Y`L~R=i=5Q2+3~cVR(c
z>F^VH0(^pG#@>a?V&oJZXaNo(qx>?~V90!-02|uQ#<sRj5GE0+@y#T{JBNS6!HbfT
z2aO`WoY9>`7q4$68HU$><<j3wvJBctzEx>p7jg9M`s)TvyX&CQQQe9cars3~L#duU
z`uvKe%2PvRI@E;~${NyD+Y=`FtV<j>4Atw@S5H0%G5&N5+vvA*4|(B9*!II>`pjs$
z6_CbU><Khq!FjUM=~3>i#S?|8;$`cDVYAoGhivK>Q#LDV$>k5<cMTo*GH#{T{OR_V
zc|(`1aE*gVpmFTg<G>_I)aL0Ut-dw=M~wr~AypL*MazBzp+O^kzwc)-cWPG;N7z`8
zttup6jF1cTup_CReoM3uyqGc|(AH#Xf434w&=QA*7~T&>p57W3CaI7n@RwMf;zw#C
zJz;35Mc&Z?c$@IX^+YZfPPN5|N}bjHR=FJ6mz$Y`dPB>N*vTw0R_t|P9jD;?ky^OL
zo&LV4em`{Ah(xyFO1rRc8O-G5j?>m^-CX+Z2t$fIoadGh0K6TNyvZIkEm|^&>~3Uj
z)R|cD`O6_(+Zc0htoR^=cy~SN!^?K|hWLAKx|Ac#AD^mzEVnJ>5Wcddp2litA0IcX
z61_oRte0QU&uKR$l78iBP`!7~!CD8AEV4Lrktyfwp?`?l(kuzqXuKFZG|FGMz{zFj
ztX@|R2jAg97ptCFU}e8r5?6qI1-o(@yB#ut^34`UAM5jxvUWhN2;e=|7p+*NH8Ev3
zpYjtz@h|zXJDiq*-j&b}Ca5RmQ0;VX-LijDDiQr#!(ln10-Wa02}VZj{I<LBEk)O-
zHV!%}66K%eu)Gr*+VX|9|JL7o`DiG}bkpdFVegL9x79ioK!K!dk;XL)%JyBgeCQur
z$#Khk-*-tyLev~rXGRrk0BNbm{mcmGV9k>N4k$h1p^c%uEFJ%?R+#Q7P*n%Yb))*l
z-;9Z^AgkP0nsak&BRr(oy@<ruN<<{Q`X&Tw>pf<S`DTUlMx0<A^Ra!?wW4E9=Wb7@
z=2fLS()u#FzkKUGV}ixK@Q|>`|H#R;DJQZoOND*Jwi>FJb#jDdHt37N!Z%>BS-~~C
zQ|GhGP_HGdCrlu0E?g8T?sk#qF!XN6Su;G8W}BcRX5>M8WMBBsA=<c9yyw6|Xi={3
zhrfAwC@7Pl6AlhZeciSCd;eifb8bQ?%?KzYf2<_yuwkltS762K=bI7782+c<>*Sf_
zWLYk>?tbLQ7b7{!)<HGSSK7!j%c7iVhR@##23B~S%-pV$?@q11b;N-U>3?8=b6DmE
z#pSbAVrSY~GbQW#Y-TUYmn0tDtXa;j-BH4_S|^0?_=3brM=uN7+8Wzop3F$reNa^~
zc<N-ZVR0|M_zS7;BtdPM<>DYMZ!O0K4cFTfNhrs;Hkyj0;wY->At|#suuG{;sO8M|
zhpOB+t7b1n@4aE08r*MghfBJ{JEN;zIE{kyT%gix<gl>Ak$~Z+Df}@2AO@v3lBu}e
zv%T8bxq41m6&Ag$hMQprF7W~G@f?ErHVSIxM>)Q+fS<`uF-8kD=Ba4~XOCv2;wu$a
zAFtJrw``MtNPzc6t~#<hn1F&~A}9_5U8RiNd~sQfOP9;{=LT5Qx$J|*7=$o~-5F_`
ztSlWf3TfM8zBaHFCE#MN5^<47TkIm|SfT#9{DJH!Wd4}HeY>8+4;C6M+mV*>C*HE@
z(;d+z=N|1oaQI;OJ*+2nXSc&Md%GGLK}Qn-8%vcQDa-FyxGmo*jPY59F~F30T`X2W
zu;ww??JhJ7^_0D#Spcymmh`|C@yqB6R<ilN+dM247FudEkFe<<c%L=$$XVe%M<Eab
z4P6Rsl$xxH#WY@#6~Ot;VMDgNu%-*@P4+ZJB7<vRD@;yXM*ci}q2|yj-a0AcR)O;u
z<CL7IKTHmPgwc#KqU@Chuo@AzQdEzYZSox(Q!mb~Oz)mn+}n=ei17`CGSzhTXZRCY
z#vg3JC$RV0MTpPoJHHs+7~KE6x@fUpTrrF3Ma+RHR8D*X1S9pV$bIui{MBjrX_vJr
zf2_$(4oTcPqY7Z15hx#tnjdLf)%wb%D*V@+y*OgOJE(~3jB)ja)?)gW<_`-1e|8k(
zL0lI!!XS%iiYH3m>X<h9%=h|*=M{{&EP8Fn>^EWT1VOI|C#d34iM_EZKr_Qo(Dp(7
zAKg!Pq8oS3ohTN=o?=^S=zFS5=~r=!gzA>wyyp6uBmzC(B<$y+LD28!0Be4o3r8FQ
zOtx2jJCv_VlX2n%$83>cDJQ7xh$>We;#(voJ15#2KPRT^h~>X4TEU53e30|Qujc?-
z_Gy1yo(`sPW^59RBOO`wzEwqw^l|)<GnQ8iG%~qjgtW7Tad{EFxp}*`+TN||PNM<w
zyHT-5s|hxE@w?Au3)q?O1zf)dV>bufdM8ym)G<#=Zo*1<B`jWH+)iE36#E<=Qfu$8
zMOn(Z+&+JD{IVX7fS<$H>?VU)BQ0+U?&Ovy2X$jsvD_9V3lmtx?q2$(Cbs<MQye?W
zQhbIcfG_VD*Xmqhu6+#j?6uw{ret%!LZ%LTwD`mQfBpm*fch1$86FwIFK>(`tJ^Qp
zs_}>6mN}U}7l$s_jBIH%1zOn<)F&;bL?xWeLYOa#8Lbp@Cf|H^#AUbHny%9O7PvW;
z46-M2&3}^Yf8@j6q{@=4^$BdeC|srrb!3A&?m-y*nJq=7`oIGd$-;91j|#V1zK2Na
z#&@<Wj5%Bj`B7cEb6}Eso29@H<Wq2__m;G&1m2dhJV>YtuT$-O3hzWR%?up;U7lma
zbzIgBrrZc8w?^av{p!3l*~D(7f<d7rprX?zoy{-)e`7Fw>AAhzogDLSXHMc%IxNU?
z^G?FWyHnOqy0<ugz}MtUW5w3#Uc0zd{7QyDNFndDedq3ElD6C<{1gxZxQo5Y&njz0
zXg$_+Yz%UEBQcvbhvNrw2~40j;YRMW<x1F5vUUwyHV|kf0woF&E1SJd=!K4t$fb}A
zANgM1GpTmQa*Nbo;Qh!u?1MR$f-O4O{gphI5JQ8}T<p*S7)>6pwd3*Ovh^lx8|+K!
z)+gG1g=lYQx-cT#Fq^qDO~!^ZAJn?I49#C!K(JupNB8WQ><8c1qg+k<2Hw}_zncir
zMwo981eWhOvoaMc$h(B<EI$5q8|Jj<(6jdyo+dR!@Kzeig+8*MktcwWb4@cPbK1<e
z1=x~Zq)OF_tG#6Q2wELhR}IYD7$(u)IoZBIj<zngaMgUoWVaHE1h;tP3ozZ?{|)V6
z6xsTIj}?TUHFmM>ivX6hbWZ<Rj*oSTTN%!k9UD>r4{_Y_{FRq0&jsiy%cXMGDZ2N`
z<?+cuZP!<pL+?C`XSkK?61`1?{QyJ*+<Ui96+dW$`W7SFY~Su&O$Bgwb*mS>aQFEx
zA2N@jE&D6dHLNCdWi7+Vs{HQ1sUCW|ri5*&j%G`XExkL+AHP#u<}Vq*oV;eEce<D?
zIpcK}6k@-*Tf;al%K~`OgbH&fc1Rjmb{tVuL;^4*ohhP7MmUKUvZZ||-UQTkiK)VU
z)<ILTD)+2I7{_+?;^$MT+71590HJie@+_l9{<u1SjhcY)x#*Ov9eeMEX<%oVSN~1m
zBGa-%-G6;-4R%OsmOE%JY_B<~uJOa=eX2zouH@(y)`tkEW5(rIRl#*6u3Up_cxH5X
zwyAgWogBeDWJH<M&ATB9KO+Ko=FMY(7HXrjC@sz)3=T^WerB5g=kF74Q<s-=ds6Q~
zcUqx)+(w;25Dd?Q5K*0e)id*_xRMb7=dr?-?6e0#c8B(w!Y*^q8;H6w6~0+`MmI59
zH6Z!{W;<Fe&UR#Zl20Ar6cN|tj44tV96OKx&d2flK2I=D2BGk$?|eIBg4DKZq%*&`
z4;-UbM&c?87d`hi_oBjQv?9i#lTn~btu%+&-Jc5pPw;{4%ps!r8v@sg*jT$OY{+ur
zm6-nYhh`_%NGWbFK^u4EV=DrvU9v5oFv)$w_XHPLD)QYc6p1^CHpztqy70xMhuCRf
zt83k<G>fAo3bK<Nzi65R`9mG|LUw@UFWmv>$1f+_Uonk1<hFt+T*E{Yx@v<H$xq_L
zTEoNPli@&+?I&pRM6vOeb2tN<0ea70F75)HOoX}0rrtq=eL_Fk@_`Cp(b4#zB~)Rr
zLr8s`@Emf=>?+z5aMVF`eI51YAFn!EW<%7b7PZA-^)zqq@-!Tki?woR&(k5D2Q`p%
zP|lkEVh0WPgX2>Z$&$?Yq`ZXx@_ni)zgY@9Ph5|Ys^6t`0!S%^=#dH52RXhuICBFq
z4D_E#{b?u=3s)eD?92?95rF6<F(QT0H*sMvxl*7lqDJs6?b=m5u~U}cKq=x+Btl#m
zQS1Ea-iZ4=s;}!iEn}jOyYg0a;%i*k0t7B!Ur?ce%CWMbEEiov(lSv?bGPy}Si_ec
zaVNx-B@T(b12o`Fjq%_C(KO$=2Bhyn%&bilbZ6ykUClup_HS~Rs!7Szy@}h?%|0Z<
zKsg#rku#F!!));ji&ISVG_AB31Hgdy@v{E<Iv=GPK&p!?!va4hAErR4H&x~Q(DSLP
z;AZ&I&{^EgN*q5m_vPVP7v}K9?aC(h(}E6Hjw}7|(oTw|AJb=~c!2>;y9YGhp0KfX
z^-d$zEuqa3k?)<iUG~!5pC#C=bQ-Yr<5*e&tDXY8&U`s4zT(9U&nlvx>V&G5^lv8*
zf!S`g3ys&I0j8bT{$iNskxSU&dDWRH-RGs}l`&gak;{Z<ewPr^FW42AA6Y30&Ln*v
z!IuO$rkXZGZkFAt@|4j1eK@D3oBh7m;D0&4I-_cWdD$L}KT-#N7oG>VLmor72W}j5
zaW#lC+zIJ}z~H_Q#DOowz{Qn1|4w#F=@$lOpT>bE?k+I(gcQm})W4OB_>Xd%lmUYB
zM4DP(_yZMhw!?MkCI_;S<QUTpHYLat@;rUnNp!XopZ>sp&&3AK(joqpG)MH`gtCA#
z8Djpu6O2%fDHn#GV7|qeM23&iNT2jC2I|bJ2`s`)frXG-UWtmt>>vq-KYll+g=Pqi
zg@l2n1Si%PPFAD}$ZQW<g`Pt)t9$+-^0;9w1~@w<{t<xwtZ}9ndd?*@-Dc{_GR3+0
z)g<dw`{dyx{0IXJhlu?NIEfobNQqh(BT6m1!TJ=<(sf*vu+hF9TO{jgc~WWEyRfLm
zBRiPAN9d_yO*Fy9vt@tWCjw?46R^|exkO6x=u5wDcOF?qA^ae^muH4Zy|yGYa7ul7
zEqXu`N(F}fe1U0Z=`6lQ!394Hg<DGuQ+5#M&#^W3;O&Fb++CMTqqixXq$AH%!=y!^
zt9o)WkDhA&o1<D}F!QDhkzU4aTESyWid%?&8j9JL8>(26Ltiuwx0g?hrWg&~^d(ZJ
zBeeZNS4y?aOeFOcLjE$8p3k<Q9%=)<N~``nE;yBvOhbrTYWUUDoX;#LG4gS?w^A~R
zU8<^i?S`(B8`n%zkrFFAiyr2^Q5<$WaQtZ6{=qL;al|X%)aR3SZX+T@^$_8+kRpLx
zI*QV^$Sb%VUFLE{iT**zr}%7u&Wa$n&`9CcXuoYj*GABkVcw~`13N!gs3DrTL38&(
z3a?|Qu0U$=bF#OWmiKa7sNRotl=}Ic6gYDblev=5Gc;7NeNn#-ydgp19Z#2R_@-4O
zVlRXQ627Ta|IH3u*8b`cxOzO@<d=FTM_9$GP%rG<ryLMn6u(R9$4Ske<|oCVDXR{&
zKriX#J~4{2MrB-tv?2An*Tu^+-X2>!p8&3_vd>(vPj@*Nr26mz@A~jqXao%{FfZ$D
zt=S7QbzqdqaCik=`00F2zUu^nrmp$5B?iCNn&8eOI0n_9w<L!7eJ@Pq)p%!iJ$%2d
zjN@8bXjVNci;z8CCy=oM*faJ-rQqCc^V9uG;4Qp9jzxU_1dK$hAa`G}Ji^9TTZPk_
z8R&Fgjdd`+gEE90b;_{fHvFbMYOb|xYLGCB*nOO%4d_5hV7c5+g3WjFUo>y+t0F`e
zPQXH}8Yy-8aVSUk7@*Ii?6Co@rN^!De991!Y$l6vHfbvLSlpBM>ytYo4ht-X7bx4_
zBaDGx&AlktBSx7Yyvj=+nI<ru^bQHVEpJN1?Q>WG++U=?vPM4Np&lax(nyhD6}l6(
zDFh0uzlBODn?4mG^Eo=`f2+53dTs=<5`KdOnx68L?^?U6$|Fz-p?KJ}uPKwE#?0<o
z_Sv{=XWRmtz;b^6x{-kpq40`9aS+EkswKh@Hzo@&GdS9qK%zt&VU<LF1o;TpVd*ed
zDEjUF8$heyDaF+2_$WT><Q#VDRPcSe+GsdHtNm3LIApz+i1r<>p=a=C>gW(c;MmjW
zWqsS7-eM@!?%^TLeO&-q5~iMn(|plkO_x_XQtI91Ss`s_$K&SgITO&Uy7~1ztYp=D
z0XXs0`2iy<OM*qToypp@dWBLv+p^pKbb6L@H&zQko>M_pkhDOWgZc`?jq*Ro=XJWF
zOoQS$Os&@@TSOct?H=k7UA)h3u3Sacf<@SY7ly{794l+Jc)EZ;+1uB<Ov^gi9-uY<
zJ^~Dd^zLEk)K;JamzN7-JZK*tbq(llCn6~tYBnE0up*x?iDCvX?w4^ic9A=`8gVN<
z(?XY2`OGQZy9q$Zai0ws9={coX^_XrR5+Px3h$QarzoKIwy1nU=^HF_)0o8Yr%dO?
za8G!|?l9>G2`Z&mxQ=4zfsP`4p<lD+D&FS~ab$L0*dV);0q9y*pNlNGyO%gznNi$6
zK7X=-!Z%hL2l<}U;1vspr@KiHcF`6NI0&zK#oUG5LA70yb{Rs1Qy=&_m;TY?2bRor
z3F4Z!fYUU^6;vom+NDXqg|2K+<LXu@>z}v08l%s~^`_d{IPDGRE@YEPsK0?Hdb%4i
zHR^zJZ+|>b&;gn`dTtM>Naw>Ro{JA^a+}8l*d22lX}}!>IYeaz%NmowE$y#zET1tA
zh(D(I&0_T9;LH!O&fgg=!b_!n<Z-}CX^|eKZ!<tD5+DE$maeHBj)k3O0tXyFJ<8Gg
z)20AuqMr0NBo;H*m~FK^(`{8Cr!uAW+^?T9_K549{@>A^aR7QxftG_(q7T|Eg~p-&
z=N;@2Mt=|5W#AL<G&cgaz8Z6ezshuIa**pil?!VkX^^kYymtwRivC)?lQKYK_fw?-
zZiMIywSExa^dv?I&5JHApm+!Xi@HEJRGLv!p<SLr`5e4bMRzmks7^O$+T!8BUyaAi
zJ<~upOjE)XLjk!Sq_*C;yT=mXAjp2GdSdj)`fN^<rCT7tK~~70krCsSgX=g(`dxu)
z1Rz9^vrLS+qV#7q<O>r8TJDttU=OO9PZg8TAeTRktX4RR?r;O|)ChKX4hZa{>E~U_
zV!(!6=Tm|}ocn#MkXsd#>i=i^MDJ@pKNN&NI%`{DK+cC)=mX7{N#9Yjou4M4Dn<0$
z00NxV3Lt&kL*U#+j5BmaA!2%TZJi`-WH5S21ZGU*c*z{zNg$fcF$Cy#9TWYq&15sl
z;-jWd^}%Hl@7voaiQU7#XCNP1Z?uF^>j6z04RI>s_1EE%t^0Kw$p>snCs&hu>tJry
zl;#2WoEb}khM+g#n#kU8a-atZS67*402Kg?UruuUvVGH{gSn{3>LUDZfCJIvH^+DG
z<9d7YaaR}oU8NH=eD%ct*J}73_~<D~Rg{qRiBJ_iGnk!bi1fx*!-OXC&8ay6WYO(U
zF)IzXDZf>fqxV#9$72*TDyL2g9LvQixRh$-05JpI6bHKL`Xu>!pbpVFEjHMS(wOdW
z660wph(3ffh4F!<Q~?_rSSLYfyEi<LDC@p#yrqHIUPnbMpPAF+4g2wkx)!=2AVsL_
zM4%?Og)en{LY_Pe<N}rg>3|fkA*M~)QUE77O2!Dly}KuBgCGMKPFrHm4f_J+=YF&L
zXIFB8rtl{GBzDhczy_R~NcC2$rxZOZ)*~JMCTqZa`0QkggYPbc+nG<Nr>)$)5|~-G
zDMx)3UJ5-ZA;5_b5Vm6xdkru$5?@${xlin9;ZE3}4VdZ~<0xP0-z>gEUwlsq|2e`D
zyeae9mXE^paKv=yV0_J`$>(hXqJQpE0<TIrPRGH&Nd7UM`pDpnnDSA~mTjYU^ethO
z%X8<@`ENF#i7RFOabEpE5HEqCEJ$s8pBu0lu$voKscfyTr!`4{$K0^NfRgELe*oSM
z7q&PrQ>Q47voLirMu3ZsNVIhX{OX?)IhCF`rC<d=s>pWU2;5sg9{z10tx7+!J7AW|
zd6jGxDoH&K<|j4(57MZ=H&y*&Kym~)2oD9l3wD`(Y~?vYt<!aYXf-Yalr!tEbNhGe
zD+XUw-`s#WFMu;|{k(8cfpAxL_k_<GZ4OTSK2~^DG6!8EpKqC?Ya0@%Yt=x{2SA{@
z^V6X8lHf#boOFC`akn{U$|ivmhh{vk4FwkmyZi`;|7_c1HM^LdpLD7}$2(yHylOgT
zt_M-%#>gh7vr^<<QJOt50j$R4Ulj|t{`)E;{*hNOV4Lo0Ak3&Z7x9Kzxz6gJFl69c
zg;z&9P$L)BVpH4R)uEt*;LUluUhzHcD+7wtCnkQ<3=@G@D&~K>TjOlLUO3)%fj$B8
z#}3$=zYBdTVP&I$AvSCELOE|`5s3Zb_-h|oZ{5HRB1nB$)Z15ZgcbnjpQiz&e=$v(
zh<}ZOAM-6qyrbBJaN0LEj#=FBADmdg4W@(@egGZ`Z_ZQEj1|cBFj13g5A<7vlZb8y
zmus?QW%xDpAVv;Mvv5+YW5d6<D(GzPc}e&7TvH15*M(t;9I~GdTUDet9Ycxvfg#Yy
z6~h4p<K@S$8l({=Z9V@caT$k_-DOUpXJ_WPTO#^!!kZbX&jXA7%8lV+@cr{-0RGxo
zwn2Grd9E^Z*u@?EuMcUsKGfw?1PP4X@*s`eF_sNrSD2ffv!R{w#rb3N(0c;^^Hp11
z<aG_@61AN72Vx;K0)MeR*}4ZszHO@|xcTse6Bn`Y`h3HGJ}Js;`e08NMqKe>OUeR>
zqt@;|Z>-nN>pE`5b(hp4-~$o!Ly^wYT|IsMF%9@hcoLxlXy}ckvrF+3`AiBgmEzZ<
z?@v4%>r4Zpi({1Kcu;M`lO3~Xfn7usxbINiq;EU>02~!V4&Bo2=K;dU!rPpq_sKxA
zZ>@d$ckHC<&Vr>XHWv${h*3@NG4go(I3ueivHy;FIUAlU)<;n~zW%EqQ4NSLzBS#U
zU9a)=XQ*)6f>>ma&1;7MU-FYyf`|ZvYv?|6$c$4wN7QT=B5Au7)sY>4HYn2S@<AC0
zF6K1nfd{y@A-*~sF0a%5-dH2tVk&*?`zd#~;6{0Of&Pwidw_9+LNjMTlY_gX-wphs
zU7nsfvwnG5*Kw_@@E>OW;4o8kraSf;K9!WAM)se%0ByB&Hy?8Jr`FCO3c$Zv!l=pT
zYYzNyZKArQCGnDWL~d`WGKMyhWgSwKd?OO-^73*R^YY0AaI(^^ULFlr(u$72-}js+
z-Ch%-latu}zNZ^jbhbdwvpbK@lHBHJ18L#rez|v+f9g+iwKpD^nAq$V(46&yKaCqz
zlu`&U98W}X31x~V5FK8je9@2q8k?*{Vb79*XkYU@<n4tobw^1_iD+)f@fspVhFXKw
z<%YjnENwRzArp-c`>6U@#_YFXiBOH1q;aQYC&}AS2OtB#Ba=e*v8gYXD?8_VBgvoM
zc)&0IbiiL*{va&7)ui;BmZ<A$RZk67*ZW*w?%$rClb|R?hT*T4DMfj*l-N^UaCN6Z
z=Ab1Qkk||=3%OMQ49KRimGX`W*&<EH(Kq+=9@;1XDaTe@GmX<7?U&&DYpE=X9Y3v4
zzw$|=obr8V!sSi8dZNo)XZZ5vK5`YN0e2VWiFF~oe2z*#{G9F$*DW1aFg7%lE;xCe
z@?umXmmDUEnor~XDjj{BQ$xjlvAbUpGibTp2723}a0K}D1<}L>&%v?K-3e1+6d`a1
zaWpVQWm|6F5bl<TAEoD?IT8D>$}X6kF4Az-x`C9r9*gzy*}g2M?VeO2%ja14=XK;&
zAKOQT-$zdKYA8tbE^hi+1Z~wzN6V0EuwJ_1AM~f=WSecYC3oz-PG|^!zG%YZ&u?0J
zA}#ZP(^}?kIPoUfrxW+(6I;vnV$nVB!M}@AwP(zjxrpc!c~1OShbu!4%0o}q4RxHh
z?0<l?Xa-RloxADpI}g$;Pkr^J4=IB-CM%ObVtwEE@?kX>zM6V80J6komB~Qg&SwQQ
zScNnW^#L*6kB<}QVSiQMLx0Q9tA8hYEd01_kG|<s>n{=L-XgpU7nIzGdE!0q7rYhU
zQgcEHc!yN2`sd))t5$Nuo>4~U@H#Hy*H{<CDJE_Ng=RvHXVc{@+XH<DpJtk85cV>Q
zwp^T_aIro|<ILJ;P-8xg7%C=4_Vr_RbctY4gBzs&JKikvI_kbgZmEg&(JD`!aZ7!n
zwq>g$0_3RY;Ff=B=T%!R<I0vV?cmb8uy?z|wa_zXd9$WhNRGpw9iQ>WwcYl4BiCH$
z#aR-e^@n93C(eyS346;-x0}A1>uAlqB5%64O*$1|7P5egD}v*IBn&V+gRDT1;}}ZI
zowqRmQ1)Y|7S}pzJ1aRo1SB+q3qc*p@Lu*LTsA4@)^*e=`^rVlG8Uhj)-O{}wUoqA
zn1<p7_3Ad>xD$;7f$G%P?YRkYD?^SmTq?TQ4W!A_|4e5t-fAoI0~uRK=PI<E<~PgD
zr&cBtiL%J8)nit?uRg$sC=vt03YQ=Xs5Y`aiz!#-FzAyYzs-TXas)0x6s;z`xz_O+
zZ{XYUt~kN-YtRg02duOS3EB7oUp&IzZwl0>VFI?Pi2Y}uc=7h>N5w0ou#X<FcX^tF
z)xD9-1fX?a|F$kV64yG37sB!kS#Ro>E0HZ!xespg`m4}vpy-|fxe^dh1XDl4Ne+Ye
z#1b!}0C!iE3h)^(BcOp3i3sEr=M5)!1$GDo<r1bjra+2ENU#kq7D%vfom`lEcrd4Q
z$C<Ab2>nMg%0<&0;Qv1U68~|{IS<;crwsFv0nV5ldLUgH&C75IqXw6~#)mr+-uO-c
zo1e+W@}T4>ts8eKiDiH=%5-|Ket8Ik0X7B(=#CT#yTA9{yaOD@W(;_teu9{l+yemc
zBNOed1l=A1s|J94xQOs}BiJ6_K4rj1%Hez@hmP;<k5xecYAl2LUv>{${R=Aea6!c=
z|6>`jvVe2H8Zfwaz{EzJB~S3jUwXEmhq3=yyGuzwv+<`-xXLS7bV7vpzfnce-$s=H
z&aSVmmWcHU>JHzK)50R#6Xok$i!=WP0!GXTr&u$5f4?X0MjhEw#=#j?YI2xE4}>x)
z7HJOnTxrr`Y_GQp=r1o7B`z*-Ow+)L4A3vyDT7dH)n~zFOz}W2s`@u)X7&90LQg|^
z=#zQJa1KFCj#s~IctowQ8JJ>z`{=kD0Eh8EMC0Sx`^hEZ;nl{n6_J`_d0r;K$8Gq?
zks>5Be)u3`!3HnDb9~&GaJ4`;kLT#_s+T4Js*g+ue(nl6nA}b_SshM*tk4)m;+5on
zoF>cCoq+e3mO1CVhL_@At+Yacq{vrgWU>;#1KHn5UP34hPw^C;|A3PAMwfAf5a!P`
ztmfD;8h<1SyE4t=EdN9uy+q)QgJU#_AI|qaDtrP=d~5~&jySo;073%E@cQ>R<N2J?
zDtri>K$uS49bhbbpZ@|naz_m0HM3e&8q{$<M+M)(V`5B!7)KOnob}OB0Rm;ng5HEG
z0dY5c_FK@fvFB~xqnuxkS&j9p8>p<iL5|>m(2$zN>Hqz3>^#Qz7`p0(%RF4~iE>%}
z4eWYS@aP^TQ6F|kWwd<gG<|@c*iw1k=<@G+^mSH=n>p>U?Yj@xrg}CAQ=RK?W$2Yl
z_Exp49v_P#@`8Um8^X$^eu`<PkPf)&^Khp4O?0<O0|U5WM>fVyh)-Yk4g~)XL;_~G
zeypqA@Ruz7*0MU#;y+a6ST4qHzy#r?^047oQ+}x-3>@m{t`G!|s~m0%?V5S7;Jsn0
z!cocV$jvY){{3D+bc;BTYiU92bGb2uI2E6A*~pAF)#FhGV!Y`g>ZYS&trqdG(p&kU
zfzsw5iPbnV()7@Z{VH=+=e=Z}rp>Nr?1KlkIbsb%Wz!3${%GBPA&qrE0$fTy1H65|
z4C8z1A)5aP7_#zCoZKCa#JWl^I|uCze+-8zrxYz~)sG(6^_eEuk<w~vL^fUP_R_G^
zH(Bn@@?4LjG1FK4>7kW!JeJ$9l9l2YLcJH-yqcp)=;1q&D4EsP;x`ieKj!TUeH&}?
zik$B2$Jf|728xMnO+rMd#w!#>*rpk5XBnM$zC_scR7WtE@H)clJKnc*v`)3ly4{S_
zFqV}gG2Hs|nTT*p)?a_BrGn-zE*%*S!?pEebK6;!-b<7^S!Mm!%v?5Iy<yy1*En6w
zW%9XinY;-M1+S3h8&|us83x3w3jH<~V31dt*f_R=(Vwj+_{h}iHF7*Qt#`CYB9c^j
zb~N><`f&xRvKL(`z0S#S+YS*&KCj~~p?}^0I2OcaDMz_AlYIUd*!`;PuhgalXna6=
z`9DWnUh)2RdQ(Rl=$jQlrlG|vz$fcFK?U_rDY~1yX_3dXeaGRy`JCCRvq2xcmxY!l
zris2Hl%I>A*FWN4WGV}w=4$%2ag*43rTPaCOoF`i^#uEwoyyC>kHHW*K$n4=wan8T
z_$3)-1pi2oQ{MVW;N<r!w;rw%(3*wx!NtreMb`ZQLXw?+k4lX;T_e{}(OKb3=1ut8
z)WY0Q*_<=aUU5x>H6w#_pdz<<#}GOfJ-m8l1J&1_=Fo%@etR9op3y!xrxZjUYiK>s
zc2p}GhLEcR=p7BbGG80bGP+>pX?x`SyNWr*jpkwL#AiRHW8asHlFG#nk{rAmJw`jw
zdK}$;n8EFe=rWDk)xp$Q5nBu*zz)~h8Xm?>VHUDrhugVoAPVktVWBgAf9QK$vkRWa
zMPDxQnC=FLd$nd8Qg|Heh;;ZYb4N<>a<(_^uDo6_M{C7`RSrHd`wR3IjU~-RGxOb$
zq$cOx@XIi1l?hWzktpolqu3G|5SLS=Qa;y6!U9QZZMLLk6!h@~ryqah9E}mh_dxl`
z<4rwCxQLblj<X#_Lcypn`je@K=6c(i9QP6i8P7iftzcY2BMN@%a<+<;-x!Hz{jDe5
zLGQF2zs&P^5Pmrl>Me|p&zM;8(Fs8|Y^g9*@P1sF^`MP>9kBW^tFdG+pjtOC91!WV
z)Hahp>=yo{x*?Y`%m^1>o_0UspBvxH`U}FQ2){^8viFruzcTp1i;rA2maSI{C<GtY
zZkLv6_cUbanIEY;Ek08=p%xH!q`bb~mp1Cu(rmW$nm1!YK4dz#lG0}=rRZE&HWM>S
zMgyFc$+VS&v7d<`7X3_&N`}{!vG^%D3O>I05DbBFuDESG_5wXlk<gv(l2tA)c*3^M
z933&9Y2aICF<y1^@tA=l9T!F9!8o1hXXgB<iTn&(Bgv4VDX#JkEMsabz*;e^qkIkW
z7Ae3g5HaT%L#wX%IZ?LI@p)}~Lf2yE38g(CaNg~@atjsI{t{PKNFj}s^*^KsWZD2K
zFBLJCSRDE-{f$~Im*$kUil|#URYsw9Y0_=_AbzXt>E4Kz`gsKG&~14)s$9r+a?wt<
zVM4mBxp1^*gCJe=_DNZWmd#7UlyNdn`o$l-i+h5iCi}wOd6Jjn#Uw+V&x4dx%;*<`
zm3ltKGmSUSd12bU`o~%O&JLNE)WXNY9;$YvMxvXqWX|sLrfaqkS`b>aoX!twiF*9Z
z%AjvB<T5>d61dW@)ACGBfA1U6<UH^L!n`o-@0Frsn%s2fKN#cOkB?Kt9U5WW<U5Dg
z_W#^zZ(iLDT1_m~W<QZa_ZVafwLp{VuNHV5b=xD$f&a>sLA+-gS06H`CN|%u6$NWw
z*Nso^C)z3frg4xjY|P{M%UJI663Y?ke0kNoc%52_Z*K1I1^*bA&vsMKL*79{OwuvO
zhqB?aflYaUFnOsU^lc|eGTe8(rn^g(A6ytN9`nW;mXx2)v(O01t?XzqwNvX}(ul2A
zag5eGpXn((xw)L`xp!#uYjf!U#Pm5Wo;6dn$=%@TW@w3?hF@zvwYt5islRI^LiXh0
z(dLQU8$IFvd}Wy0;w}Rrmrfj)yIBWPyi}y)Ky-$*!}s%~6MUG3<_Rln=miqYlh=%B
zaZrH-xd@FADpZS(5N7RI6<fpf_ac;%^2aiP)a!8{=dw6wnZ!?NN%t^+Y(@NKLNl_(
z?rO)m061#v=|c_HXw6lnp^G2}u5iuzy?{02E%F&XodI!Bd8gCGdx-#tCvU<%pA7mL
z)*Ny+o!2WwiQwET5uA?dBvUVJ1iW<Rn}#!PyssCHU*nz!zZ3?at08*RnM4Eq$FIi|
zhJOQ<KKYsX#Jq;TuKh);pGxzZ1=1z<Fe>dMec!}nxyd6-P0ixeYcO#4Q-{3qeYK$I
z)Xxmo0%9Q&<r6waK0AfHp>9Qb8lQg8bgq(5x@VMreN-x9k@kSuR56iRk+7&2y;_^`
zO|i1)Me?nVk4J3q*KmCex{=xH`i_wC&+#c7wi|qOODEU9&QKrj|27T|(6-!Odq*y7
zszA+7J*#CRZ!`Ylcof$Gjk0|9ROlm3|4)i}*EAx^fT&Jx_9#vB_2z;xH;#&uH*I-J
zKka7D&H36=j!+rF1<8*LSlBdg!mD%@pwfDue|_zHN+Da>!#35izH|@l>#^Wo-nPGT
zGSgCObi6)2D9BaXxAKrUga*5uxVM+|Hl%^><7V@$@!`U)^7~kB^wg&-9DZvRVN^_V
zMn_0YNrs{FFUFhcqP{ipnatQJ+sxVHkygum`S$_Zybnl#{r)!k7KZ#*cWKjaATRRU
zUGB1yAKu{A3iF!T&aOS}do8dN3?Fp=?3%!)h(20rsFr-(K(H`qd9q*DA@^SNaNmG+
zNrT`+hLaapr=26Fdihe>+ZqzA+j&aS<sw|b4wK%Zp6Y1X3!ryUl2LHxOX_)_Et}ui
ze=Hyrz|mc;M0AUV8C;}9QKWU~`8FG`BIJJPL^JX&u0a&`g?VV2qWu2B?^es8{iT6y
zxU(vC6QJ_4!ad*9P4terl_E!cGundxbZbh!3L($($COQ6lQDhQ(TqtLuIT@AvUk5&
zc+o^6WOFK%#0fslrvQBzj5tV>h!?1WE*Iyceuy3f2RyON1HgWKlShF}S36Z_C~$M2
zJ>BnB(Pf)ib~4wCyffxY^+;KDAUd85G|IEiH01de^YOE7ScA!L%jZX;2cE(>OtV6_
zksJkd-D~EY$K&-g>*5zJ^|j$3)2r;q$2{VMu=0M2Xt<+T>jfLmn5JCML!3itK{giO
ztKRgggk}0!F2{6M+c`5i=hKB7X-;@coqvx?cUrEAat?nD?yClm`a-lR-_vnVjOJsO
zHvXK|9;0&<=El_e-Oi4r^RxYz+5sqk-2jI+0KU)ta(5_iGT6`zHmIM=0pru?G1UX2
z#n7tEIIo#(pI~)#3ZK79oKROQLE_d?C_CPn(Kh3pnM(QIF6G?p#DYgJX6)H|*bdyt
z>cROs6m4j-zJKAKdm|@axy<Kv?8_s86~~WmlWWpEc5%OTMGj=br?VXne&0EvGj$K%
zdQmwJDD9ulG(h2KFZh)x#Ln+&!U_S)nz<?m9W$P*ysFXj+5A8W(P=6S*v{UqQI+uJ
zy<sir7H6o@=6#+n3OHkI{Njs_Q$HM6kV2Xx>tC;<{8Fc%R^7%E^Fqu0+#|Fimu?bF
zDE6>~AZW9!9p?;2x+udM$I9KeTSU>`v9wNWYw$6mgE9sA_cVt;xo+QilKqCqTOG3L
ziJ4qUEZ5#VK35ZMJ$j0)4DY-_w<2T;5vGz$iQbQS9~?Aa#HR>FU@A}<MO}<ULNa8U
z2f7K+F~RAB5^<iF-&V_bOOxm0?0gqduiNL^DR@n}69Htx6}zbvQD-uErH0IQm2OKA
zn4xux$7b3D<Up^Y{fUylPv>;J=nVyvkxTnDV7#dKEH9;nrGE}=C}89Sk@3vVj?L8m
z2bP>IZ$~MA#<rCjIX69YwK<CktkGr!d3-L8pSX{ud-W2qavMACDH8l05Q6m%>aU6_
za}G0=xY+}CqQ6;Q07XJBy0*mtq%l&`is->{|9mCD90QzrKXGNt9x=QjBZER#3#Q=v
zwOo;;1H99dFvxVCKfPe$ze_^%q$YPUUDI>^jDk9+eY1~7LZo#kZ(hOw;Dv|crK;pF
zt*n{Cr@J`MMT~q77W_TEV1eaPJ`N?g>JhTjVURfw9Ji?(X`4Dp6H?@Hbjsoy)1MoR
zn)Rs76qO6b5J_9qR*tL>dL4Vxgfk;8!iai$TkV7W&VR`@RM%z-H_6d;j7}d`dK@J*
z4qG%JdsbmV^97G@lEcgTE6TF#Py779SY9Qez0$mM6pu#4J2Obw?O&lkKc(^HrCOGC
zH>t^X9_Gm)=K|idG|2xrS+zXTM>^A95Pj+d8~T`P;$p{?=#=ZM_djLHO*gq%XC8oT
zV=oqLnHG*i50Aun&Rt^{mtOUuBt$I920sw2C6*shIahqBqmBKx;C420;5g?Op41ze
z<l^oGM7_#yU)vMfy<SXc5AiQfX$aXUu@uZ4%_qF5r@W{KE;mTmUu<(-Z7gfqpNNr}
zWs3bubkLa`y`mO2-TP~8^+ujLpzDtbu14~nEu5VGHLsw0&lc{FHw=~9ZUg@|^fSit
zm~q&gc5^OtGA~>q-!mPPVO^Ezsfj`dp1<1MIO-mtnLS;aKj(W@)a7SzB}0{r;0t|Q
z>O4vPKPn)jKGTfYHk2}dKILE`kG!C~ty|~q=;+C644KeOjHnV`(b8r8)hZ$}Dnl6m
z>(!y>jlr8ljptfqi+*8hUk4=9_}Ozv(Z9fM2%Lvnjb>h8LJGnKm8kr$ECmxNOpHEW
zn95vLJnzcRcc(5_BWa@cmot@a`+u~(cT`i)6E;qVfOIL+(IC<U1nJFSA#~}zhzN)@
zktQVs5iAH8s#H;W??p-?Rf?c=X`u)R7(x#vklzh{zQ1$c|KInV98N-V@7<l9otb@}
znO)NDem9yLGrKQ;@&`AqecYV;i`n+Ew4G>*WOD1>Lvz;l?9rPAuwnjx8ZoqvlMEA-
zC=jMN6edfD^B&<2GJ4d!`#F?P_+*94kauVZLa2#e2Kr)BNlkq4WscI8XFqRd&I&^{
z#UZXI8&+BK9-&?*-pAetZNF`3=yHy{9JWXQS{bRRR0HrK(b2g5UYkfOLdedP+9Si{
zf<6gHZfz$Rs2yRW<t{^Kt#>Mz7{VLr{qa;W1Z0ppWY!C!Lmn9{5HsX;c*BMeP`Sq+
z?o_QKL8v<om)q|;-run9Rm1Ez7#HZDz95n;cOzV~f>v^v+JoUP`TCjbK^(wx((yGF
z5WWvYw$ws6=~(qC8NQtupr-YHcq@0-|K2okI7yjbxiXnFvm6A3>p&|HIFelfT((2c
z_{@&#x+~Hql%m_7ZacD+-!6K`UPI`mbj|eYo&VAsyv}jg4!sjlN+jfT_RBWYTy{XQ
z;feUbY=+<Ge`{1siug|eq>V~f`O4j`DNb%${X!X5A+<^;1+yJ5je&dL4GR_44ST!=
zAyRs|Im--0baUpn5Z59p6HB$a7XMJWx^54)eINZKd(K<QFgva+s>F&~(&XF;TAgEM
zQmnh0<BJak;DJ2xWI_(Y;33p71R7QQ<GSTPb|?%Wi~*PV2*N7G08#C{BAEECPp+1X
zTBC)kJ(_lxj=D5Yj9T98|F~s3yf?^&Wy^p3g3hFAw!D7d90xxoPf{F#tQ;ocZr<(R
zb}+1&vv`SuD7U-x=g3~88x?~qHtIXm*`@l^V8_AEzhx#sw#x2oGeBR12qZdcRJde+
z>l4q^$_vRY&4dmj!<zf`92};Xaa4)NqTYRHf>BJL$(t1aRSGYY_{t6Bz$NgLlWOn6
zH3jkVfoEw4+kJuayc(C<?NPkK2P*l~22pve$A^@}))UbV0HKNc@Po`pCLR*V+y^5~
zlI5R4APxHZq&fqfXB)}u%i+^%7cw%3eu45T>ME3_C6}4pQGtaLQR#7i)UuSjZ#`%1
zguQ&Du6!;JGrZ6pU?m~b`;>;e20^#R-#+sl<K$yKcdaA$E{&h1d}#!<=N7)>plLzB
z@nHEN?742(={=@45D$e@@<SosgZwG8C0ril)A{-?it=1gsZIX$wP6&)aVUI`QtV3!
z3<e;n$>TIJG8)sQkJ0cTG$zn%fVE|ta`GUBiJvq!V)#=zqqEpt4_)h-5g;_MTlhKH
z-0|aGy2ID$%nMIEysrAvP7IO64yJ88PoAX&&vEVe*nRU~j6Kapji6*xw?61IJaiA%
z7nBw!cC6#=IocP|8A9#FL$|$!U-bXzA@9Ye4P!{+4W8rPx$S`veyl!wVeK7o4D7Eh
ze4WOh-)$<=87;s8ByeIA_Jz;;LIFBrn0t8HkgWTn_BE32iiI!Pm>_#0c&$gYm*9P6
zn3y;D7L~V%_~~R8uD;CP_kW<vxk^HJD7-Q#su&a)AjbX@rI8!Rxg(DR#(u_!(-ae4
zSOx!6cf(ABde%dn!<sY3Nt)zH(4D&RKd|&4pexYJUY%{v72Y8*POco@P~9;M`HOFR
zEbsS><BV*PKvK-K+K%w8*=XP;8`YelF!wV$AX27?sN{bF$ej*<t?@13w<qQ0+y($a
zwM9>uJ#zH&d**d0;_Z8|bpP<ej5N8n$1?wae2c|DggCyDGIey05y+x#$M<|`k~A32
zp9MdzfYBV1Nl`t1`_bR-jE5*7;7LON1XWaznfIvSswddua9ztxNSX!V*`Z9FBoh*$
zzA9hsPMpkusu?WjFaWNhXq6$1wZ7$c{abm+(bYneW~A3wE(g7#Y~KzvYWM~G?G7DZ
zC6I6ez>!ahGUd8e{+#?!_?1{V`ejqag&!|2Ke4CXo<_MF`u`{LUSd|1Tl~yTP+Azb
zwtJ2ruXtdy*M<$D>FiyJSdyss#=Hs<14kU6Q~X@uvJpZ2^;`{*#m<dLKa`c$MEhVi
zu5_mTBdBtZY2L8$Y%Pc3F7X1T^P!+ejF%an1vn^mUJ=kG%_l)7o4!l?L8b$v^6>~>
z#2rt-6%@8-W%%m#UamjW$|oHOe<6TZK8L&kwCo{~-=Ie<-f{`xBl$ie_<=z;T8fR6
zF@ttt^dLC-Nkk>P1zjEg*NCv<m%&~jJ0-ryBLey_q<HK3$fcjDd=j{=CBHW$Llj{V
z;e2vvI&40gzjs7e2$ouy6#vz?C%(WHOU^(wIAoWXsbSC35>)h3L1Ov?cfr?PWB9Rc
zhlb<lE!tNl0#Cv{xO1vMGY*{-2e;1oMSAk2i-B@5Rg$-H6xSnvKXrI2Cu}(p?brWf
z3nsva5PBLQ<YWAb8@_M&oa*t0Al_i!urRcW;7@zbDxl7FCJNqXk$QMt%SAIIb7Iva
z0b)UJ4f}cGC(K8>CK$BpNTdF8{W&L+8OV`P!<IjHRiqf^l0AKD-^K!T3d*H>ZtV?e
zyjQCXJ#_wLF}MXyFfI6LnM0~sx=$(8>dL(0iejUG(B?3tGN{n%Z8+ST@|imjF=Sv0
z10}7ig#bBOfOjc8XLxQs1#*}|0_t_-KhTebh&@7%{4W>4#e<{}VngpJlxW^Qvnn!b
z{HOV7V_}6r<(D0~#rH}cb%>6dZll>XYZwyaPiXDoz@2_Lzj5ICjY-WeG151*$6nGf
zDtvijl>FnJnBxhnp&M7~DteE0%d+wGnN|gSOaE2F*I_oMGujnZ#_iOQ)ylemB-OR^
zPLiZ6unhy?pv1hL7K~(<x@jEaXP~jHo$3whBrrHKblz>mguRM(_9Z?N5RK)(N3$D<
zJY%3ZBWXXGudj<QfALIW0LBaf_VSmY)@))ZCz$qZoD?I-&=J9WkrGHcyj-Wf7e8ag
z0lEed4A^b{Ty4n3LoXBpdbKD^lOT{mvwfQe$spvgCTFpu>o34n6TYp%<{3=xdE%0a
z^LpsVOD3+!ym;Rbn5*S$(>bo@7?MqR7w*;$bRMrVuKr^BjJZCvqvJfM<Q>Jo&NVxd
zR|;Y&8ke-Rb{|TP?B4d$45OKX{w^rL^(5+{a_479xA5Vog>x4cVxDNz#=sah@iM6=
zHs}ZG1f6*q?~_Z0&0OsuCUr_ywF?cWYy-g$v)i7XtBAw-103FXWBP&ZhXZPK0>(7=
zZx_yy@zBa@PF~2NT_a^Onn#qzdMS{*lGT%9!@YS-)T!UXI99wc!4?y$3`y$YAbtup
zQXbG6mV|gWU{ao2reUU&XENfUs$#QD@)}21eq3}IkbN~Gm>iBK(<eJ)tA|O8WdlvK
zgi>DBJZeRqW>z2rFaMp%0{GOo+O#v&0qQi<F!^ayacIX#Ot6?!H(#T#jgGHYcW2f2
z63LRkoa?E81OFjKbl_A!h6xn9;XdjS#EewQ4<C|jw9LNNd985p_uA=Pk1~vCr0;``
z*m2{&^f>m)3*s3%JCyBlu`)UJG*??_1MJ9s<pcP43+hQ>lx#44gzVpeFW4^uhUPF`
z8f69sH%@E*2Sz&n^|Ev71k8HlPQS3{@h=_w=0*3qoLB(7r{{zD0GT)BYaOVf%2RWc
z9ZO4HLd};iKC@X)J|S}KVH6XaGai4xw>-pls$!d+Xh+X3xWad`{j+CmRk#r%KaOc;
z4!=Z~Lb=RDlYY;xZl-b-=PixY$_arTFGxR$Tb89l9H(}&YJV@gch<6Sc;(TodC)L#
zE08Lr{!f#EV-bW`Gxb>-bT}Y^+>Z&j&B92h7@fpugje3VC|&CBzn1HTRWxg+<z(EZ
zQ&o<XXd&4)yN2XG9NApe8J>4jabK;SL}aia0xgX6?LM(L+!n|Mk!pQZlSnE^e2|em
z?w@QBGM{G3EqNNUYuE!|DpYniMoEFJ$Dfa9l;P5-x50ej{zHK@*yuyYz#>XW7LC6B
zz+B24nNB%i#SYT&%bCBd*N$RSuqq@99IjD2<f?CRQRafBk=}gbs<kdStzncqetbWA
z!btzsa^N*Te2mph^+`tJ4<4ueU$W!F7AuXtKKS0uGC;-d@}GOi@Wgy)tPdv3$t#;o
zT4RPrn1@35TY0o(2cm+EAHIeD=y=szC6Wd}lA82~lkumPJsV{*aEf-;;AFqa^m>b>
zzgg%jP;xPelsI~6-PdD#U6a}=%T5s8%YMro2-I&2TH{A57Tc9tK%`H89_f>VGqWbf
zFyOE0x-V!d*{!$*N~z~SITv&(87Q=wQhvMV8a9(Adxj4W2|S5R=IXo>p6QLz@wW9j
z?Wo>gs(8-fTP@Kn$uoRXVU9RPyP>n>1#`z<j64<58y>FTT!|i+&3CplDCSXc+^E+K
z_rwB9btU~g?l8=E@$$<A2TpfuyDxm9M+w)YwJycI+!EFx?_3o$fj_S{;I)l!onnY)
zJi3?I(fuUa>ps^`$3*x3_20FENCQOFTTpJE5BLdojXtN_pM~MAllBtz4Jp9DtDG-P
z$mh$UKU64PqdsTNdPvn`H}z<H(b{Z>isE|k6oEM!Wxf|tp9QlL$JX8n-%`2M9!Qf=
zeKI`wc(<PSi@%YuQ!ulB@7z*<YqJ4@>aH!1@f&Cw*iGW4QQRifcsRb3rE0W>8<?=K
z&hrxJ!&mB$o6{G%jB~2_MD>2vr87o*Ysksr#$s`^))A`(E17<VQ26TZ1a9Xhxws-3
zA_1Ntpw_m!yEG*Z=ZS>_x%(S-f7MpH?m5>5B+x9G;SR)-bK!=fJ;_!&Q(T&y=#e3g
z#LG^Q3uSIBz!~2PKtIL*^;1ytD-*+uJzpuomw7{EFL|3Cd4mM!{3Uq}%n%EAQjvAL
zd72bqACP?OA%pl7hu$UBB__f}cKeC_=f6J1hagHfu?F+&db1&+0Iu^`9bGG=xWa4g
z^jZXZQ*T&f3Zo}<wTH_Zw1Dwk1^9dBq4U6%rbICIr4+BiB~J1d8CabndGdA2aY!|T
z)x<3iF3Z+gj`>0Id5px-^|`h~vH7<sDAO5pav0@0fgW(~K2x>{AJ-C4O+h<{UdM+j
z0Nq?talA3!y}WBL^zL51G~eB8t<^Z?$4i1AIQzDn4rjQ%F6bu$9_rdZ4>f-*3>U8P
z&%3~C5Uv0?s_NO+d!$ZqnHqDeh+*aMUR2<`Kw%agYno%P3=<zk8}$V4FkZ0Hk$mQ?
zAU;e^4D^*BvWxBTP=9eq8_CkS^l^=o#_yMEog@nHa=aQWP}DGZ+Q5CaK1L*zr;#ib
zdSIU7LasuwknYu07WbrOZ})q!z4IQ_x<^&VRWb3)l!)LkBzMH%QZBqI&rm7WDnwB5
z?7^5RY*uNq3Xs`<E4)fT`z+6n@A_lPp+T8*YfMA%ty>N@3;Ff8Jyjz|;3M$34v&D2
z7VH83*TgBOCz9o{Ippc}&gZXW;2$t!f@GGe^M{nF1Z*flNeJ`ySO04E97_U!!s)h4
z3P}NJ!7cnAJZHf^94#6PY%vCi9R-}TS}gq6?!ftQU2lfyWE7U*FAY+hu8q<32t!kK
z>*_@k+x;J~Tq)akGg6WQZHHUv*y)ZuTPkLh2y%;Wy9j7m=ea=^+**@B(OT@NL^6_Z
z2-X89Iy!5eam17LJfhC-q7&4O3cMn&dZC=~bST?z_ALrHCx!afzIZi)p8Ao~wjYhV
z!w%zuXuub!=I>7G@}fBDBSER;Zz)FF@&-KSVP`pXqIIk(wla^5ZY=x(N8w&_8m#|5
z_=3MVyeGQZBWb&L+<dlgz(=>dbD(flQCuX6L0j|r!;i_iV2RPk*4oh7spQ%tjyTw#
z0}d)FPoU8Q=Tk#-Ee`$~wQJbMULNY(u<a7=)!{*)**4a=vIVmELRxPBv-zIw$<-|l
z^-l4kY~BoA72$V25SmhppzTiv7XxZNfA4-rb>r*oPu8N<8$M_|cV+BaF+fY|0umuS
zDR&V!a+=IiTI!1YHY()8ya{5Cf<W=f;Q9O@Nvis>Wp~XZydir7|FO2~-Yo^X2lS0i
z3BNtRwyfq<lU&6sdSCC1BNcP}9l~R6H1Qy&=i$4`mI7z?M-u5UJID_I?`8+?6v-#f
zmzvMYegOoL<9D_s_Hcl(u?`;x$ilQAhh;}t5cH{DB#xAxR~u|1+WWW0>iTPGJ5UB)
z%<C;z#MV&~hs3d&OO>BR@UM5+x4FLL3#zy0E`#i$I(2tS(8xnfTPMBu|4Dp)3^JZ-
z4?q|m&%Al-8C2TuWtfM^P;6c%hrUAcFQ_=MY*BPd$_tOd0(Zz8F!x77hFq#%e+xh`
zsWmJjth4@BtnRI3)nGG~%awfoPNNvj0bIUab^J|a_cC2NynzVQS1$e_x(Y{KrIkL7
z79NEp4T-yajGYy7z+E?G<p6*9@nIo307QM(bG{IRWLqS2ZM~pot@TR02{0mL$yxLZ
zpYV&Czu>O3<>`<O`$rgWT5-iE*j=G_oYHMHOs|o8dBdO4_q7E<&%}KUKehh-x|zqg
z9)A3*pWRLe5u)DiMNZAW`u$7AjW!?s-7C`FCvbae2CA!6jo0#LCK^M&BK?@Hc@5Er
zsP-TxBu91HA}feTGiEp8@eX9E!At3jq)&DzTF<zcwWpOyvxP2I&n!ET79Lm7DGV^C
zha-b+@<bj}cF@g^84@BuuwoQeM(sSI35a{Q-0Y7mko*Tb8n~d-H@jU_EZhnWHsq)l
zd4Emmf}d)H(+SSV$d#Rxw3Z434(2>DZ@(tWV43=}D#ZkvQqTaX3LuHZk@Hh}l6po+
z(JN3UhjEIk9zOi}u7VsnFqOA-tnLrhT+pj0#G@WL++E68VIxA^cp_z6-S80G_m)Go
zWgT%x5E*AGwypy(?H8x)x@;?(jD8d90#+UUP5jz>kbcUU43?m`5#izpf%%B2aDf=9
zzdun5X#%v1H$Gjt{-RX6Vz`3Lk@xPiy-PE9O*mgE`~|&<XbX>`V4|R8*1dR#;ue|U
z+K<qU)1{0ZGf&UiGOsTqy|`T!T$8-%YR0kY7=|hAw8XbDTvoMy1})>cy|AlY1*46R
zvGQZ9WXzoqcJ{v{pI;EX{VA*5$b4e-Vi-y9fGWCn{WImlv-jSlx%`9O*ZqX8Z{6Te
z)oQ|%8zGVxH!%|Xaa@PYxz;2T@75(fnh&>v@_d}0%L(eCDHEXyLweTU$6@Zb5r`Pu
zu>kr?;jMlnk=fm@)!^ss{Av|@i>X;4@S31Vo_*QRf=nmiC{_RCTDO_LF|05+uHw@S
za)0rTs_k3GY;(~()r4WAr>-A<r(`O`f}tDa1w`<aSJq2dD=zYxVoY-(Vute1w8X{Y
zyngtNME~$wYQzNDH0mmh+|wf@W)BzNLI%4p;UN{Ky!1A7#7n`+YB*^oqdiNc*Yxyr
zpDwzYk$vC@1_~(&-ba}R@c5nWy8G!b)q-3O^7qEo_0zW6gzjaW%&ud+zAV(*QbU$8
zh_1KYc-Gb=H)r;*SEy&EPR7|v%+%lKW@vh0Q+7{$eKNiTb~mM%9cS)>TU)VdZ2@Rc
z)aD3BR@Lf*LED)pGr^eIh5+qqx~(4!Lxh8D;CyU#5^wI-l5jDcmG@mmp{C;7YatHk
zQuG|1`svh-wOc6uY(4wbv*`{|-yJnAEFDT>`)1*PVk^nWHD>vUbf3=+j%%DBBH3%d
z{5*wRJw_6WkfS+^1A@WzkDH$tqc;{hImTzqr^>3awXmq2fN*C)N4g*TD=V?@pYYA~
z_fuag&E5aD*pPWLX&XJ1o|eDH4GbiCK#%Q7!B*Ya=jO976A=dda;Z*xd-OKO?k5^W
z8)YOS8J1!}!PD^8Q_!*(8SBA^gW>VIZmqk!-|OTK4w9jWp)PjnIu`e|r&{<Q=|VQU
z-LaQ;ktmYNp+Wi37U5~Te4are$3ZU_*@k&5<(|i@3Ya}N^VfT3;rEw^sS6|&bLRFK
zh-sx}#JolZQRF3-kIiP3X1ZJcr?gsvO>~ot+G2v4G;8JWdI)hTnuNjlgN`?7|LdO6
zjhB(nK&x|fGjt*T<EAxV__!NJJoAj!2qZPe!!J*4)B~oozpI?YVJ_I$ka23U*rkwx
zY-B>eW~9)(l(Ll8C5!J?v^&vROGa7sAUEcNU}ZP`)3!>s#5KR@h*ez$Rp`TOOZFVf
zP8)b9r`3V$>`5y!Gh#nnz$@}?-2}%oB*Lon<Hovurq)ODG1;)aFL|u~ZEs|cY}Sgt
z4`sAD488;R#_5POTvx(p*vmDiW&?3MoDG1_iZln)nM&MG7MjrJ7+uk%h7uU>T+bYB
zX~Z)ftp@l*$P04t*04zYRTL)jUbK)0Y6Z|BZ=Che$@1cr6<)oNXGmm8h;DjEt4ZyZ
zGVvc{dKO#m7o?Qh#w}1KGh=fE%{*xEDdO2jDdrC>h{Wac&EHr|LVUdbUB9{v)RSck
z43CRcRo&yWzenV6<5C0m3eSe?<HKa(W4UXq9T7ghXN@>LUvzD`Q#{zM(1N&_R&q89
zv1f2sUCd}N>gh<4i;h#}mdiXOvpMwBQfE#;Hh0|d3Qxe=2LI7{{t?>|`7)^QN8LD2
z8ba;~6k+!vzxOM+H!(IYGoLXR3K5aO)VOy4QulI+31vU<JgDgi&bD;#(KudD9S><t
z+V0C`6b9!m50|5?lIm*8)5hv9`cns%<MHS?YyCh0sNkh*NWMS^Ti%kgrP`kbF8xq9
zLa~|_r@1>pZP$Qn#C~<+Mb*@a(Y%onqLpLdS6zm8u%ZZh`%AjPhd_cON4e`&1}I|O
z<y`0Vdl6r55`<NNjpnWl6xh(O8MLoHyO2oWy?*GWfPL7wrRx1PdLd#+1D%ALc52pH
zFxDRu@OUx|9z<H(S=G6)p-3C{{p*yUUGgNmCcNgB3w}2>0TBMY&EwsPU=e9~e2$5#
zpWbYv@i0FrSZHPZjoaE`kqnKP`CL-=klZCLPckjU@4t^$vpiOTfhovTYvBDcO?@H0
z`d(Q1!T>5VtKp`MK27+upD{s5?S*s=H(i(kt1&rH6m?cZgggDd^&wG{q*~AC7kTG%
z^Yor+!_`TVFP;hL`!%U1*1KTVm`}nhP;L|cHy%SfyoS=%Luo|3)<lKn_xAnN_uigZ
z=zDp6n425k3$>fND#DnN*se^fZTq>+eC$-sVS~f0LM=Ygdg_C<UoZ3O*@NSD#RiSz
zgEhKUo2;2{ADns)RQ!qdVecUMVA^*qcg!}g)#z}w>t4q0LWE;m<!Za)P`S;V@A8Y9
zU~_CuWk3!5Whmi&J74bF6&-dzNjIU*W)6?1t9HS-Q#rj~PR9|7=r!bPSaU#kO94Y;
zUBKwuk`o4l{^b%<qv4U=Q}!W+)i&ViGs*3wc?ELF(Bt+I^~#Q&9=<g7;4_q(d1h@d
zs#7}HNdKVGy<5?qXP|0IQC~S!ODloWCaGOIApw-4d$O=rFdO<UXo%O_9h=HwUY7O&
zVRL`uk*@vWnr}jFi>pZyAyyeCcjopyxPK%$<Hz?A>lQiaNE}J-=fLViYamAbS25zJ
z<)xm1<P2nOc_!{HceA?IyZ82=Y!cy9&|o@E3w<C1!T=%y-}@flCMw=yCd$mt@P*@x
zCp_UyE>alm_9~HT*vGAX<|$$j!#C2i*9xcf4OhFCASSA(-ty;14PP%#FJaFen#Plr
zIKr=MuRzT%MUrSA(&mCEN>iRq12Pq`t3wzy-aHfBDzEKqHY;6sdLEM#7s+|&=Lk7D
zc#WVp{JXk}_4s;vn*+n?8v5;H^JhXl+SoMX3E7zDh6eobJ6}e=G1D{3t<C#en`?9{
zl@G?yJwi}Lm+cr|uM)MCVLjD*NeOMh7;EV;if2~JjBpI(@VB$1<n73h{}~zlC*E-Q
z{bd>L)4X5tS%&M9nTD?=1oaScLT<--b(>mgo9_`BXGTrwYr(je*b(DxfrXH^XA_Pt
z1jn*4!1`<G6A4bG!i!=Xh!^t_2JJ|%YX9^kY7{D9zJ0`Dv`6p~oeFKi8H;`!qyEv2
zjORBp4g?jJUwHS~C@cqG4alRPunpL^F~6Q-e-8ni-llulrT-xkdF#1LnpA)Z%xxOb
z#$Y!;v`}>B$tf5*M~;t?!rbC$y7M#5k7y4pLJnKxh25STl9>b5zT|?*d&d-W4bM%7
z_98ZyyP~sCf`*6RqvFEHP^_S}uFr@p^E3P_-;{b*T&tIAu%-RZa6KsF!VLE!G%IRP
zc^Uk{e<CKx*PXJ)^)7a&>+SOcEiJ+&3mO&vI3IcFj@NAHGOT3tf0El&``v<0xtA26
zJwLsm{Ppd2*5BsemA-8@8(e!ycF(DyPoI&YuY_b%g{wo3(YZX{z`gk^#taa-?+eS0
z^1yDnfrksxI5KupFm&gv$hhDPw{;inapC%*)K>YH;wkqQGX8o*67t2|nD<W+!z}u>
zY=I9HiH`HE-rZJoC$5Jo_^l2}=B$I`DWJ4zCubq{o|V0xy_7JeomEI@%g+wpw^3+K
zM%8E52(T9^-xN^rl(A%vkOgOa0yr?g$)c2YO0n=I!Cw~x)xp^4Z4sMFuD%M&ZkDj0
zEj-$*sG_UqpnMVizd@FGX^bS#V`M50Na^_w%5@4?@X*}x)ly>+Cb%||oio_)2Wg2l
zpRpNu>UkC|Bn?L^3!*Fsrfs47&e^+om;XE`UEmzW*sws5^|x=}_28?5r*t-rsx4d8
z7QW6wL?GK}_us19B#lfYzJ+U;5ako<z2KFDr%4PW&%5VvWb_BazoH>jBmy|W)%GzW
z3-*umanlaeNzuH){0IIlK+B);HJa4HMm>YTxkUqx(>Ri^>~-3D-L^mn2n28=2Ip`&
z6O^?PsKsrLi*CCJV7E6Zhl}F%;SaeTE`p8WML8azKVlt}{Q`>o`a!O#`sZ02<3R2?
zP-eq)g!2Hf(h=`r^kTQrHk+*!L!c>8H732?e-NJ-&g<xK#6*3bueNdX9N~PG=(K-5
z?qY+YAEh@e<W9;SsxLEK#CwX>`}hmpdDYTg&hsA@%D$g3TV@SKRdn?KCYCdUmy@ED
zNdVDSX*os6yZtLjgNi<&BvOBuKM%s;B2rr=3$eF}9h1BGU-L#~P@fiJA?N=CpARDO
zR?sWwmAU6{xpIh-K7Tt*<4kl)#2+B;UL!W+{H-kHT(ZPZxy*gU)&2Pw?+pL31HdP@
zNUobRq*}vYWc}7hg#yr_IM;Buk$n0K0V)VtBNYOE*J&wOX{JhRSZlkJ)qqFEu|4u(
zBe4SRzeoIEf0N5Berb~g>}H#O)7@;M*t8^{B$}j$%!?#d&SNTdZf<U;l1do50l3b&
zVO89W4ELdHTK-75I;pw8pPy~u_nQ-VkJOHY-2GU>cp{j-Vc45m0J>piZ;w7gRls$^
zTf;XGfgu6viAy$!^}1?$BVxm{v;3TNe=iL1a&lV8`K}C@Gx)wj)Xr_A(-64}08Bbe
zC8;;!68?5XR<#m|gbjQ5T!C(sB#D`aQKXWpm;e^g?{t461p)q`rDdf{;rUe<1$Lu9
zvo;1YLh#gIa^DROe2_6FO4jdaG6PK6+S-~2Jp07bVG)HwjmytI8_D)<PWT|>a&}>o
zdvfD=qrzTA<-Ydt@es^i8xfU83}B%TdJ#eumrd5rYDJsq;>lLKhh(B<0oWJ}^*bMD
z7E}o-0^F20KKQgL1cq-!$KN3iPm$ocLR^L-FpE9+9%HcU>(52QGL&SQiI+Z(B7)lB
z_u$^EByMTtrFF=Hf&%rh426fc&cAjYB?|C`G$0ihxX+OX6cO_0%SQRhxD-%Ad&MYu
z@;giG*zxgkHB7!u>c4BgQB>r<FIR5c`4V-73Ch)r00*h)84t^bnwFiqrFk-|tEogf
zp5Gk>{E`_1beCU!Mp|n)>LU_K$SE(s9{wV{rUWMp-I<crBi-a&{6Xx<*aFYF7-kxM
z;>d=`srh_5nXS#Rk}3TK<cZpO8_`Mt00V}0ollF`N4u+xfNj1Me*g2`(?5luW2YD#
z#!D^Jd4hhwUloQ{OKvs0SF|3K0~JTWMZ;W(1%SIBuLH)Q4Rq*+cY58&(@L&!NkDHz
z)2neIYC1|y32Fr+>W%wyUlLscSh2BtbG3hYhfjVkaLGxNFBM$YgKq%Jdm1gjin+Z=
z$#;V|OV{Jcp4g7s<?12iw0BpB_$PgbR2g*;zZK?PB7b*c;k#xPcC9aZZJ}1_M13W;
z|Nqr1m%i^2YW<K)exOSBvt3J155}Cq&yZJYc$2uD2l%5bU<eSk%u^Q+uX)RCfh$=8
zRnCrd=lR2>JJ@Hp{=`<i|8#AxyfJk2N7RV)i&n<y`%sou`%siqWG7D9N}>BUaB$Cb
z6+wGm1lR%aMx||Ln-hG3oS(Fu)b3T4%CA1qe?1E#kmc&NB(v=i6a=CB7(c$XAHQPy
zg5o0kem>t06YxYnFMP2cu0Ipq;kF3`4wa#qK6gp8J)V~K!vS=mXUvVDo4!g+p8%}d
zyO|53(EN??31(40RtH%rwnLR420jtEgen5thSH>9t)Nigy=r~oK>1z|gK!Y4DiRw&
zi+{b<T2T-3W^}*mT|m0Dq+lD_H_J#m)Ge1{`c9gmk>ilZn`!F?q^sh5Y5-5F6C%wL
z0H=Dsf?dDyI{r@?P;;`y?Y1pfG6I^*ijX_9f7a64ea5}i7B(+IA1hDQm|Vx&QkU`S
z{Cbb@3?S_#H>ZlS(i9&eC-~Fkx8l6ahRS8PKyiw`?Ok;<jPk2^5-J5QV2|D^Gg1Nt
z-k^uLtroF|k0-OV#}?hE{vc%>H)ruSpT_7cLvxD_$aDn<rh~~B-XA8Rj3AU-%%cQn
ztj(nX*#B|?W)wENwuhGBGU3tTY^Y4s2`FwrzM6N7vVD|QlBrl0&F=KXL~&|uH<e<5
zbW>RT%+H^CNmY$+qfcqOg+<}5)JqiIwjcl29S7LD{m}LHBRf(&+?$t=VleM4!s&%-
z#iN_XU+EU+@=&;vddWA_FwIj@od5Z<l{hf<%N(I;({~9Xr5|R>_LZuNht%};no<@Y
z+SPv>6GE+^j47S)iO101fN{mM3AltWtej0pc*uzx@<0ZS!!vYGyS}e;N>fO2qCNJ!
zrxh~35e&J7{+eZ8lLp;NE*$7MS)MuQZE71sFYBKZ&%}q`YD(57+c1GZ%1pE0oNk!D
zdX&#xY>X2S_cpz3awnFWfrRg!(|5@~*+O>#JBqQ>vM3c51Y=_dGl!_@x&v*?zbB#U
zrDHuE>>)Qdg+>j;{nu5>ubQ;lU1-UeV*B*sU4vajz=#dfu04_0)}(w@KT<K-<>H<#
z-^m=gZd@pf!{wyk&a^x&41*<>-@$>5eRUs_rqv`GLgVD(?Bo8YO!R%=dFJub3>#WJ
z$HLDuTUQnJFkueM^xMu;(J5n-K;w+xtWu~Y^#zSSHJE|X*Rd9-v*trNbstnE?J87!
zwK#7FZoU!QMkPJ^H0W<L4X5dkNB&QC!S1lQs6{o6Qwr?W$U9@zODeWwkIc%kX3w(z
z|A$XqYj3I3DLO60%S1k&{B+w3$OU6sanOTny8rEG`Fx7{6LB_eoN;kRslls9NqV46
z=59@zVqBu(zI86^_PEX#9~W-c-sP{=)s<Ltud|iNcv(I8?9=J!9kt)Uz8fYh(R>cy
zu}3wi(c-qA)dR1omF<o5kSCYk=(8x0Q$1>Vijs%((v0O(lM$%!*EX{+gwQv>Tw#}V
z&*fHNX^iPxbUk|ct9p&Zzfh)IqRK-8HW*s2-{%bN<`600qHJs%Y||AUbOJe^&0fxo
zX-IBfI&p`4F(c}}&n!(Ws}YLzn-lwR*RpBsCRR;z-+H6JfCwugT#X=wSi_u?^x^|C
z-|P*EA4CfxQt*da9f-^}RVioK?d?hAt_(1q*g+O?_B12%weIc^BcF|{Q~ndbaITr5
zr%gj+gz`zXHg#PsHTEOl%+McAyNAv%+A`lXe6t4`U$oI{?7>p@0r=7H^}0wAm10cd
z2|gr5(zMlO<od%^q(}MC7qyDZPL?um)8Cw$h9re`ZxWNti%7+QkkksMqM6#Z5U@Q|
z!1$n);t(V#axCB|UH!et#Q5s=e(Tk4F3#ILOo-I|Q5_}!9ThX#pHx&FURNfVifh$r
z@B*>>j3~;;H{*9Acl-N=2Yb3FQV+R!?Je`3<c}k_$Crb~hW`YP?SSS&l`g#kW=pLg
zu>^bgI8WC(Y?jxJfE-gMH(p!~rGXB+(6BYQnKt_^<F-R5s4(jig=4+Du8F9>w_Cnj
zFocjR#KdQW3VD;|v<FDGE3R-rthvyHzBDN2c?F&CY4myv)yAcESuT?7j|UIDiB_zb
zNNTyA$|$x~<Tuh*|C}lNb>$fOdB*})_Zr1l_HrCy--D|%$p;lKm-!vgF9$ulJZF{!
zS0}Njoa1T0=%;2YCg@32DSp>8zVD$hSYk^MZo}Snwp+f-GC%Lf3P9KZE_2?UACngj
zujM?bx!=s#Jv1>kNtifP%j<4ySzSCiKs83laopr|syx$5H6v}mNKyBMHp9{-CPyVs
zzf+lWXjyHQ_0ZtHB?)Gu_6*ywpjKfvqwAd0NTAG@cU9*)<Zln@26{7mx0e`7YksD{
z3ol6Tjlhc{6-@+91UzY5-o?M_N1%M&V-ie#H%VKv775AfB&BaoDlY4i$E&s>dA$`Y
zB^~)D{nkRaL)o_^+7~UESW-vA?Mcw(Be23Dr^@YdUvY1$g*m;CHz>beYrn{9-mOkx
z2>f){W{5nRJb)#?WD?wf<PN0t20K>OuhU|2T{u4<yG;L!3#%Ww8|fMo4aYJFLBD7f
zs4S=k_@X$8X+VH<-v5e_qJAP%k%YQMxs*r~H?um8W6k$H)H0p!Sm#-SLh82Iwugkr
z6~<kb+H}@4%*{OqJ^|ow32V<XD!EC0qIj71&F&wQ7XDY$73I>K!W%K^tywvTN}l91
z=uS?Nx`HjvzoD+(3r*6`r+COAPjRJ6+bj0wJ(DH2(8H#0c1LO@C3cuB;u=KuZz)k7
zTvhZ^&Hb(}NFPmyBT2|3DMmCSY5OcA6$4==zKK#U8?y7V^Pcl}AU7(~>k^*Jv*tfN
z<N{8x&6`|(=pYQa;d3oSnGY)#**7{CxvR_-$hg2YDl@t&JsJ2m<aOn%sShXvxC;ok
zI}|Cx87nkU)m-|Kzz-TjQZtozbx0?(nY5{6uZ9dg?rJO_bhizBEyeF8=iEymiDNCF
zcnX=xzM3(lOfzC(!hMI>{-9aEgL6>=9r(ZW8t(Q8cDN}8Yb3Y47b~2BPP+08pHqEl
zLB))GDN2#uBV!O8LO9^w)F8^N`rjflYBB)sIsbcs;UVwZ<qUKov(lO2daUHlWP?`|
z!4jSiN<pZ5;nv{=@FbKb$~;`26dL^?Om)k2-p7H`n|jN~;R$Ofj-;G2nY=%|#ufiI
zJS(vDp6ll7(&hG{5khCczs}v1qSt~`cJO{v+9PdOv{Qxj@QbE14_@h_oqP1V!n}2&
zmA?B|Ts%#=d^dzDCD0&Ta`X~G(Lp=&%uDPKPS_zNGt8yOKe(Q0<7L&5vh^QelSiNr
zwLibS7-yBb@;wR>Zabm7Reu%MdbLimJ6Qw9vqU;iA9>r8OqU8cTBsXFe|cQy=~4*E
zB$&^MdS2M)gl<$Vjt^4jMay%iur!mxhONQY#Csrf>CCI1b3@Jq(W7Q5eEtxV9?!_z
zeM`?anYZ@egXUIJ=RNe!p6j{##uz&hNZ%xM9{qmO`uNx7^y)`X8>U<xM7nyXLYLaS
zOg;Gd8*o(zXnrBc^3EGMr?#81p%&bs|K^VzR|*s2n#+X%fsNGvZYs>uV%~G6UOMuq
zXU50hZHZIZsOX18+Qb2Gm7cm({$q6TQk&(?V^vO^Ug=a=$jn)++@cVl7-iVZBjTQh
z9=}5_>LO~TuaWY<$@Y3&ZNTA8;Z3<k-3~EiBwHn$X50If-S@z_Ld-RRX@%2PuW+WH
z&=BZ36Xt{8U5V_<<huec4ZFbeeV+ZHHqCBa7*8X7%k@wjV!Ff@>06G&zF2aKF(02a
z=OqL}Ag6*5za=0BOpifkZrFP$x7(EV(@bFRw&ROm6wPmvWeH}is>``5zmY<3Jf4>@
zJ)sKbFRs`JJ1}^w=k)FUeWd^Bl`1c~-*4(SuFQ3b6B~<7VHSPqesn(sOJ-+XCwbzT
zd-Hf~O725t{4_5Lm(J)*ul^28J#0r=c|KWy1++a|Ba{`>KpvK`VZ7l71amcuX9Y!>
zrHVqE_WFStD%ctyv=B-R1VUQ%*xmLSbNfs?7s{1kUT<ioytKN6<_Rozz-Jq&_bR7u
zWCyuqw%H30P)~bOVppAzci-;wa!!{CfP;5|mhVhF=Z26e17T$GfdLCkJK>kW%H<>4
zxf0OpKfs}jksCoI?^su<?-ylA6qB7@Oj2~S*6R#dexQ<nYkIkAwx_rrdv948Aus1?
zZ_8$Gmek_$w#uwOY#hh`TjAf_=g!qEQmLQ)mT!Vk$B~SH=p=<A@72`YLmAJ{bDio$
zYLETBzZY`Db;t%C`grd<!rz>=*i4eF{*_aVph@;4I*nN)CfH{RtSrQDl`j%(4V>+j
z6`va{dytLpKD5M}GZ*_yQrNNgU<FP1T~-NSBeto7PX$d3Ts+FbV6=85W$S?um{GE~
z&h6&cX3cW!BfqIx&gl$OC$s}rb06r+{PIQNJK3)>NF(97=YY@uG{FLSfYgFGS5<dK
z236JECQ!5oT-G5$w!PyNUU~4V;nwtDmpybzeVm|)MnR;a4{JMaiQ8wI!`Fi#=(*8Z
zE7{OfrT-UY@n8Qlp7<14r@IC#CW-!9FYX`sJGlaVtbSMhgZ7<e5ufSX^S>G~GL%b?
zpv{R=Y_}wuSEgEuy3f82epP;Ln3u|es40udjzj+8sR^#Cb$|(%6I6W&H%IjYJ@tiN
zPv}Q*%)=*f9h4`+tKI0LciY^v(fB&Gir3pz>GPQvY-s=L2?^R>1}7N^>PE-2Aik^m
zbwk5H7Y?{spB_s(l*l>FT$dm8q@Q|})KJ&f^9xsUyf2&7wQ!fU4c33{EUSKTF)(Jm
zYxbWRzpbU47b)8Ee1|Q(qG;s0AUJqk2(c44k9-+#qYoNkz4*N>&0uOwN9j>-k=OX-
z#Opib)qNwH);#KOk=gMiCC<TbhN@U6U>h@>%Hx-uJTn#2w#z32F4ZM`6Ye}^te5uB
zp9}p4Garu*vPNqOWf@Gk$+Q2-GkR@zYBeym%O)?T&elIl<$>g$p0%ii*|%p*kVpPL
z>?&<)w31`%-<zo~ihQ%}0vCRez3yi5=Ap5%xMy|izgcxxNM}Vh4JMlolgZnL<N~!l
zH5;`@7u>H_WPLUwwa`hfZLaxRRdeK=U0hZ1fx=53h#CZopODs$HJP(}l?8dGL$|J%
z`u@$DIh;1ZY;^7qtpwTLI#smU9Z{%FnCDH|u+My`Ps7$Hl5_|8_|ib=xAOhtL?-+V
z!TjaXwu5xCxE?umL7N6o(Gf46d&@0vMNu1W1rZIIFMrx~O^wyx@fB6Scj_i~gZ~`{
zHhWhE(4MJpH;=OcQ!Pg!wix`Ga(pLlSe^f*ET*FEun*y7`JifUQQL()Zuu;PLU3V3
z>vQpt^L8lRx}=#||9BOlE;4fJdSr3m=8V`#s~L7h#mdDVw&}b78I##~Hr<1Z27ziW
z!^&$aE{TPE^$d-T$o@@xyEGMXmidJd`9$rv-{zY`HMmrsW?cmf;uuMB#(c=O#gde}
z)c~R!Aq|Q3*0ZVtl04=ljRb69g?RCsB@`iyf$#gsJcQbx36St#HmQiCZo92z11oy%
z)6<E2v;s;2hGLvp3Q;Q^2yUAQe#k$rs}TFHLVEkAQd@C?*Z!IHvC_D%6`#durFLuQ
zLz$De;K;t-G7$7PInCJ1SrhgnZ5mMNS5DU&d*KRL)7Pr0)~KLg5!OINZEW-qgzhiG
zKNYM<z~zh|b}UN*ixAVFPBclYBrZmH-X`)xCp^BKJucfI*3*7cbW*iV-K=43Dpp85
zCO~B&g^7vfr{on~<jzgV@N-IUBRu~4n*#CPCmiT9AOwRN^%Jo&IVxNaZq3iyl>O{j
z%>C-rdh2y@PIod#27_?^E?iAvtCUsUEcf3b#4T7}-NW@kRN`R}KLoLT31aGDHRh=x
z{to-1=?oc%ZI)9oYo-fYp5=AITs6ssX#GBQ$K&}aPnClBmEIR_CQA5bm#_{UHMyq9
zaSE4cd&<Un){(X^hLCubk9e{q9X;b1b2IlahLGX($1^@Xj6Sqeoz+xNLXy|JN*&Z5
zhMCiC6RT0ffz|AAw_wRUFQ8mp)t$pDCVUH?_sH;)3)1__ptlddzdi}mSbCXqAY@X(
z-Yd$@QOjvAm-!W2Xu@xnu2pEr!vLs@CFO66b#tG#y6@Y&eW<4G-L>sg0Z2Q}5<=FP
zynm`z>uweTd+&V~bhJKY4z$<W0lO{tpi!lb-(VZ*Tcdq^qfF0d+poP<HSH$r#;=f$
zIt0eeH2v}~$?VOF>3_()+ZEHx150T}P(HS%>-E+eCrBFAq`sC<mN(={Jzq~_uW>3{
zD~JgV+_LH)Y?3>fn6&p|u9fc&CBG;selRw3C|s`)#!e8Tbka<fQQ$_Jk=3(K5a0^k
zrj#f0c{`!50q^Su%$j`a!6r-jkywrQ0BZKAeBW^Dopwtrr3c^J6Ku}m+zN-7a_Kt-
zx&D3i`tCE&cAlSQcFnL?p@W50lFB%Ka}VsNYF8VB%&LZgE|r{@Kr%nk%FBt`Uj-ZL
zyZ!K#fjp3-4Aa+ASS|@`hMSYzV`2YRZ1?+#foN~q`Woj|CcZ97?FeURvwOHOjj_^0
z(4yyjyv>sa<7UxHJ2HRSq|TLhk=lJvieF%8#^M;s<YhuYb6@RX7Q1{Qbb&#elOr_7
z6gFw@GN}}jk-_iDc72`3OEfk+LtSrvJpl{;I?UFqukfdrdLcFOM9%yvq|u%~=SFKM
zs|ovs61f+B`<5gvZ?r!J@Z{X6m)wLU)^RMn@RqE3dGLk><+2jH>nYkh<`K@{jS+kB
z_dBOvV^}}!gY{24zNcBhmXeWcnnvSUUvj3@yZqJNfV~@uUC(_t>`ntsRR3}4v*tk)
zr(K}evIFXV9eHoW*unGbq}R9o*^0;ZYHkgzN$be<iO`GY$74Duh}Ijn%>IPP+zGY|
z_7NOY$g`lHu{B>scQZW(xvwYV#oO2?pN0SjT>_dDCp}8KI&JR0VmG6sMKa<0oOMY&
zFEI9Z%IXxa-H-g+%N$B|cKvX3`ByU7(#eWBo;hlE9(T$ld#Q`PEJrd{ug=>EcKiH{
zTJZgiviq74#2<;sd&_`<y4I$Vy0m{|o^#yBq?lqxJCCJeZjVg3%U`nc5u2mmu%{S=
zZGI{8Ar=$a>0Bn-uKO8~x*K1cc455@y*R1b9ig9!Gax(H)8mQiD}q09!Vu>_5~wGl
zNd=kOTd|M6Kg17QJ)vJwyWkfQaKkZn){AAcN4x!IYn&k){t*{p5nMy>So}hnrgxka
zVuX7-?{QHWlhZ`u^~j(-K&Zsd?n1_e7_S@pG)Pw{C~5v(OO#<*Gg)Aox2>Gl4;OdQ
zq@n%6bBYfPHQ}2@`ZSV@RJMID5p|nYO4*W84{js}lCOY4;u6^egH7sz)zM=B|MO7k
zW)U4B+&(Q10lq9M_ct#{1~}U10U?C;%DaMYP61qwR#8qguZdg-@OtM>OhW<QS)J2x
z=l}cn&HwAaZr@6&HaRy1lnN78Yt-!18(0>V9a5KECyqlrgrHn<c|;llaFbd|G@ueQ
zI~=`EuKNbnUHSkf-qGG&%j^n0$Sbd0tLzHQvBSN2mU(FhA#cVlkb`cf8f*AxcuBZ=
zR~U}mg><@>S+jY`gF1vikTj4a)wTe`4TAA+PTmdq*I8a;vSD_6#(JNaF;rP5=m=}%
za6h_-N1uD@=wcA}f(;|*io$46jmTN>lC;A}M3}+oS_)ZoJ?A~;CB3WQ2m>MTmOU>4
z59jh|hC8D^NOb>OD9JutVPO&U0=BocWH~xuh)HV55xOm3yDRb_BA{dMhA3!sDSSKf
zF{T%l(RjKN(Y6b}0+#^6>=PGPhq}W;H4NygYGvkl+9f~j7;wU34ZmBTj&8fqfac!Y
zyguI&2O;Ne30c`<h;fc+P$V{1`fIb}vA{yxpx7i*U=y9w<-^evW;`8R+O*AHePB!#
z-Cdu)T94su!2HSy1iQWXM<NY>tETs6-lAEMUZJKj^++h5;=Nt?hCEQleQ-J0t$g<O
z{Anb(Uk3FQ*nd5E4IfglMB^KA#$$0SFyrKgLmZb!O>rBm`(JKG6$TZ(LL&-J-f0;B
zA2K!F)ECbv1%pnmLrk5-rkdpH*va~PfD@*uHe;%08S!*o1h4VFoBe<FQ_1%g+x@<9
zPL}GQTuyMBkso)fF?ix@<Y`?pApr~3uEO$0VsUFt{&(J%(ys)T%`t`p<i#>(+roe}
zg*<q|b$b0Y*dPY87jatm_aYi*QAs#H4AY`>f;66y4AoCourB3otDbz2VBVZChYRt(
z0d_M6blWYn(EMvKO_#5AIfZ|3oob{0bj9kFszt%<Wk_|cl`>m}F{rollT)V6SR2I*
z3$8Wi@d@M7LF?1$dp#cNz`#G|y`uByX0Tf37dgu(4NQpOcbm}sF?Xu1*ob-qa+i_k
zlvuy2A$H1>ir5qT<mvHszkYP{ktt?%Wy)_|tu9!d#6Ry$^_Sd4edbAk&5V4({9#=P
z_~6Lq>)Btvu#(>Gt1I0ZXb2A`7I&$Al>R99*aZaIelm?@V(D;FW{NwX{KHD7iSwBh
zdp)82pKlDUJVFWioGg`ER!y=sOcXyKuz?hAeed45T<S{rK8c&;3boSPI$$d1$tHiq
z#G(dr<oiAgVha-4DlQINf(tt#pS&*|GE`Pf7Q$3-NJ(VraO7A$wVaV}e!06gTG!ii
zK(eLO9=d*6#q-Q&2Df9A?O*;YAEhx9##0IXTf^plRiCktIpF>2gKUG*N%_~>pJXe>
zHj<HQaZD`7b)sI%e%Vt^{7mJmGCpXI@G=nS+jWTZDbGAxl}9uB$e*QUdUeo+UFxc5
zwnky;;KA5Q@H}^9-$E(II5PKfnf(LV&q>?$VEpWXPy5ZO_fmw-*QO_o?lSD>mMT{e
zkc6tBCsyK5%J-V1<eB=f17D}_6n-qxpS!gIn)~dOeM)!W#f!_fbV8T=pofYE1cQ0q
z%@<b^{FNs-h0~F{Ib0`Js@Y~0dTRAn#zGIr-T^!R*ZF?0#(ooauazW?8-5<qaJw)g
z1W{LU6ulToeN)lwr(eH)wnvHb@-tvaeboiPZ;a>F(-jUJ+IBGtNsHPG2A#N*jlGKU
zhkPV$5G~z?&tu#9OrpEgG{_jmtUes(QTvdJ&vY<Iy{8{82AUuqdI0EV>;1&}*2|vg
zoR9W$LLHZyJOC1<8T7h@G7@YTRz8=w<qE4aWA(5UTJ8gCLfXuXi*(PzZV_<RkNh^T
z-kf>}ZFcrs{Kk@@YC8RPu)uiY>RZezrH`HqMtj7+-12}oh_Wv9%{Y<oc%f(M>r)cx
zU1slqc|2`aVeKCpHX;zKKU?6xNsS6vI>;Pfud4qVwmL1HDTUjqiM+i=kMfM9JxG+2
z^tnPrh=hyqEvAH)+6R?O-@!H&;>@rcId7g*x8pX&A)f;90_R(o0%^j9pD3^fiwB=*
z8%u}x7ia44g68-jLN@o8?X|V$P2F#PP4Alf<7az|(Ay-(4}d*F7|(Ln9{Q^9`KHtE
znFhiYdhFIek6NWS)vq^{Wx6Nti=-9oVQN$6XGITAJUyq~3vKVu4f^$$8?<)KeDuW?
zWuA~GZ7Ap5$~daWgsm!zl+?E6c7<ifp3cqXC|L1&sVvMn;~XyvN@rCVVq=}gtzzyY
z<hb_DsEAoWwP%OEA=x&Su#&^G6!z{AMn}i`{%~^^Q74_q^#O`Q_YKGK#ICb9Gm~|8
z_s0KNUj{!SJ)^<ji>dpTsC1IwjZ4z&R56*z*HWGk-;gPC7<fKWc3-@K6q}Ej8DM!l
z_Vzvf$`|@t=4r#Z0`+d3)rgV__dr0~NVWZ&nb8Nx(nZ`m-Zy}<wCP%CV3oIrteNv?
zEi&A9S+;cAc?JLk@w^%v{O&>na4}u*t-N9h!ekH^y2o&OZu=BG&xk6v$u=iRZ{T~R
zN4IoBJ@rSKagrmD-*KUq6jELFM;gludaG|b9UG57l>m_EyHV>?7u{CVoYC*C*bqYV
z_SDQnicM8LOe-h0kVd&6&CuDXoxoqJMK^nV?oa!-?Pfk>a%65|i_A_p<6%L=&^Z=X
zm%R8P%bUtYGeeg}+=m#?lZFtoPu}Fars`^W=A)>Kz#hU(h>s$UXFoTK!(gvY>mPWy
zbcVT*FD=&pjEr12Qj)*ZVbR_K{NjF5St0o0T~?L~7m{Z4ePxw{Ch-Ogs?kHu{i@#%
zor|h=YOrhxVumdcycryjusYJ~J~Eg{g0ZRj{@{dkp4X&}E}azp>1im#wO60B?ni<b
zKBJ_4GOWf5Fg6W$Cxl0ePDVE`(mTOd7u$T{5``f>c6YV#o|*2`g8^r%k%}$`lCR3X
zQG-@9P8Xe?#HgPrFQsyY&e4Q$PDb^q^yM9{KABril#2G8lmGvg)bqPEV^7xNMs*JE
z<4;SEfBso<bz4>NcJOgQD!e-vvFINN6gmHN=d6I0;cqva-inp_p6i*axa!q)*A~`^
zRudnzPDqK3Q~x)`RQ~QgwPW7|6dz8$E`7URWxKBTt-D?kIjgVzFc12zc`OR-%{-@#
zz-mUZF?RLc;sZao%zwc8qvp;2Ne1FsYqegLt-GBdwCDAs3fJ$<htA(P)%1Ajfo(gt
zy}h&l@uP2+tQ$plt~h77N_gqaztTshG3Bqm_<qxl{QrEt;kj}T#f`3Ze|Ma5{JZ9%
z`~0d8j9cPuM9%s`8XG20Ua3|n`q%@f!6g^YdTZWtB>Li>1&cX2=lx!(a_H0NWqIQN
z|L`QfYKrE#I{!#=iPk~x#JVfO9L0tE1p2=#Bqr{78KNaq4OD+ML`&(j7jTH1YmZ&t
zY4x{mjOxcX{%)-1?A*La^Hmq9xJonNJesyX@}As*tt~E3f?Hbto#s5b^`J^cyr*hl
zdEwl$wQ<{lyz56lzPiiL5&C&K!*_vwi_Z&ao%){s_V>kCf3wXGTK5Iqtcvf+)I7<s
zCzXML;i;#KV@P7)*1500Xfjqa#w+}>-8Ab%cZ2n#pSgh-)@vNR{jQ>N_mPe9(Hra)
zb)>dWDbU^T@9_=Vdu_=!^8_A%zQwU{qA9dtjAPXqxLSs^Ea^-}mH)Fp_4M$p>n|MU
Q0zJ&&>FVdQ&MBb@01={*w*UYD

diff --git a/reference/ggplot_pca.html b/reference/ggplot_pca.html
index 0880d25a..b6c00b01 100644
--- a/reference/ggplot_pca.html
+++ b/reference/ggplot_pca.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/ggplot_sir-1.png b/reference/ggplot_sir-1.png
index 91b6a3514b256f29e590c36bbf9d20723b417536..dea2e38c89b772672b1059b2301211bafd649edb 100644
GIT binary patch
literal 31410
zcmeFa2Uyej)-H--8AWAgEQqvG5eo_m0wMxBj$%NHRFS4qrA6s2fI8}o3TP0Jjs=j8
zv`9;^fdK*OB_si*hY)%UfpFI^I^Ws%Yv=o(v(LWg-n;kXe)NIlUw&n+cfIese)Fe+
zp4R%c+tvyQ2&~7P`OQ#3V5OgcfZ*jHR>4mw(N8AeuT__Iw0?uX;eVWy<stCbnyY8b
zJp}|L?x6oKix`-+7ZCVG0Q1`kW50wkYTzSr`$SEiZ{t~+Sn1z?|3&5XFQ<RI{M#>U
z|M*4ZQcR)4!+VoAgczBA=0Ei%B>%kgGwZ|UiuZN%Mw?3aTsAgcvBK=gA5CKlmhabB
z@46BCb=UD99tfSqkBp4dr8o*QGO-v1CG`w4!&|Q*!^=dyG5x5Oe;M6s(Kxlq>F{#&
zkjF=g)_E^O{}OPOSSFADK8{)A$N!18c9jtNfq~(2YxH+0{^tq)mmWO|6+u5pdA_0o
z{VlL-SMN&n_ny7~(@QvujV|B%>OxMmbMetudxHn<?d{T-XH91+t))IYUvw%eDtd01
zA&nWG4cHb|{iE56db14U=H`OAazESU6h+(RTQ}a$(oV%c+^My}TeRxnFTE10GTWS!
z0>?|A$lY8HU$;w7^wIuIk780bsEs|Co12p+7ueS|x3nm}+k9fWxTM74&F^b4`0;Uf
zxM0q;FV*(%{`d)lcTC197hiDuL-xj?i;GL$*U2xD(k|`Uhh)}mJaFK^a_f{I)11&N
z{#V}d?=VdNh)ZOYJdsP;6LxxMUG#xELE&Q$%E!xO2~;18va&Ld-s`Iejgse$x8wF(
zl<e=Y^wf1HEzTX|juplp^Y;i>8-G<X8HPRU;=)K_@>fazp|>)<mE7_2>Da~~hnqEw
z*?{d#ddSkEDyw3;-38nC=9c-ZtC!qg_1zAdD@?Bc@NlOPoxhAO8r`nnv_2;%M|EN1
zt><{@&>&t%j{GrJQOG55pf)O2)zbl%gP!_q>%!L>%?9rds~Btum(mr;s+{h<DeTaY
zpn8kNe}+#nmo`pFdVM;<fe$7<3qQIKUdiQjgrwDZN{3Ad&bjzP_>s?lBm~coh$=Z7
z?~Bs*p|}w~CaJ5z-ABg8KH_)jtfhWi+w$-_68m9vI;;cT@OIVrMa8nE)C0Wqj`aO5
zO<v$k3sJs(P;)sg7>yCE77Tu@bSO!TI{4t^1`NLET8+f5Z-etmY8h5D32rM*Zct+-
zz@iUxFNCq$jgbr(e)49Hzk7!DDF!0>ITkN3pTd(?y%cL{YI-O=GCr=CW6D_Xxw?Qw
zFPnHH<T;e+>+VH8R3jc)*l;u}dFK<??(S}dOK*OEA}4tJH=Q~gQi!;UyCvE_rh+G*
z8D`ALMQlCv=5dt|16#AAQ!+<Qriefg+jx5o>)Q3FKlpLa<(NiF@6-zK=~rglE|?9d
zWU~aj*jV-HkBa6Mev_v=4p@}9MsnB3%^O|Go;Ua8_UL7+y(@ng{A1DBBkdZCwJy0Y
z=QSg{zuYRWv8lW&XUt<s-8B*QwrnmlI~3NoCH>{R$or!A0r%J3%=V5kK3!RwKe#O`
zB)T<eU$#1L^p@vq|AR;NJ<~gLK?QfNc1y;hYFHa-f7*d|+p}Bkasr<#jI!dp?JKRZ
z&LLG3yLy>g7L@Mv;ajC%Dru%!vvPTXw_YEgqn?-8dHVivVRc&O0X^G+u|c+wVB6f?
zUj=Di^}5fvbDz6!I$WXbj=Hg&cA9z4cKN{J&sCQNX+xwK<E8Zcxs)rX&tg(jLJ3XN
zDTl5bW)?{$9aimKx#w;uK?>HoEx!NH-ASGO%2}p4+6Br^R&4F=>tkGk#uBFy>p>lD
z%PRC5Y1Yk^TIUvKKPjkM`yxGkx9r+uHq~vJyq&3!Ota5FbWVNj`6TCM&*S5JH*3nw
zY~8pgb)YULJw4^nrQd8%`RsYV%PAKY=<wrw)e9Fc6tw86DHZEq^qZ;+4?df4<Pc`6
z)kr_bx0qR$6f{MaCTnoVj5>+@khJ*I#GLKI*U2kbtUg}1;X3zCed7l8nNNSMs|a|B
zDD7P>>H7M3OWbUmShh{Evx$4fWVJL|j5cxme|%1boI{|+Md}^hD`I)|_2~}MzyT~K
z)sS4_Kds<9-s9!#yBiZNXBB5&=#UC;*pjAO=U&b<9sc$lI8kNx_4Abh-n7YZ-x*$|
zb>41FFqc9fd>*Mcid*RMY^?uDOZ+8`I2)i|eBpq)y1JNKV2y<D$6F%SkKvN`<2|LZ
zYQEzEjNQ6%k0Nkmwtu^?WxD#qKDOg3nw(rsC`Rde^#d_BNiMmiGKq<a{)4fO3jS05
z;vox@s&k#TE#2Km_i*{i%2hk{W$~Z8Dfip5%!Xihx;Q7hh20W03$!uf{=Q?T-`>2*
z$NmyCEGsdpq+0z}@#^}5g4uf+rq(uREZo8Z6>@z{x4WHCoHb5!IK?2Wb-`LPaaUaS
z@6T3uir$=Kqpv@Z@@x0DrpL(=&QkKv4>+YI)iMg6&dTaC3sX~fsWFR;jJPXq@Amv(
zPo4jWobW$S;QxGzzbhX4hYn})dhccHECJtCM@Z3IHDuM*r0e3kcWrt)Je_LqZ((>K
zTh%G<kZrXzb7i7X+e`A)<+vLT`vT6s*zcknu-0WmoWoe>OY$E#8g7jrBHu;7bVgW7
zBA#1X28gm)^WxW^CpHK|(k#A^lYuK~b+$hC$W&kdS~5}V@V1Oi?b{CP=a}j|OYwYS
zn8m^TnA+-ec&)_7?)z&V8Ka+HK6{aCI`cTc^z{9$O*0zT`?OB0tZQY=9%J`-!hXtW
zin^xD{ORtwthTl4Hr1ShoA?V5Z8BZ%s)}@P%liCmjlJ<q;EQXsWf$)mUVso6u<w0>
z(9UgHVQU^4HYIOV*3!|@IUTmGtrad!4m3c)^X~#`|Dluk7dp>$dm$vSr%+RKruqJh
zuesSyfMGHg=tIS(3;@(yKi|Fm<k~X@pO`0d5C=oA!!xd{TJp8l+0ww0996h@4>y)M
zC+^o{U<P2n>UincIy4;r38XJ2ZxayMl+yI#-R#Ck=K!+rJ8892Aio&Z00yBEddUf^
zSyv>`l@pg*Bnp=LzWv(rGP>^Hw}|+EWW4`(R73xW7vaNvCxr2pIxHh8Sdx092G><a
zKPll$xSAX`=!+O+%d+=OldQInj}O@vmZ)?3Bd7J3X7m~A$|1Z30OIM5iw=!RiDng_
zH(OYWq3O)WiJ2~AEwbs!(+z6!2s6ICB_!eiAiuQlw%AlxW3Vzpl%IWEin|@$2rMGk
zed7GHreWWu)6ZVMSK`-~>*7Ow|L^!7?!Obh_AydlBlezL*&bnyuNMbD#zw{}I=Y`L
z2YmNow!?-*p4ExoPY$GWX@KCx{d%v*_l)0^TDXXi`GHaX<E6;Ib=W{-<dHN0XK0CE
z`%O=CapwLuB|!YU%9$k==xqRmd-?b{kny{2&8cB&71Ct-(jq;*vJw|bDK1(UpAO4i
zK%n#Vx_hlJo1FT)UGjACVGS{A0W-t2EXSe7WE&?Es*CWij`9lur?N{wP00O+g}`jN
zQ`1u~Z*Tk0@BWNEe8un*^BX(~zjSCdt3_WkQM${2C=pFXlba76$Cf6a6jnDrPwKGp
zwZiuU_R~!@9Py;YyO-@<;v_G{E=`B<^dXKX?=?#6*Tn`HS<hyg&6Z>F`>iXEG-@s_
zobCvN7gig~e;X}TB~a9E5m{f(7I!s*G3f5T%gw`jHrRA-fr5C8j~sweer^5BUY_Th
z!MQaCzr(xao`1Q6Y;&?FY-D)&3?8swx@nf1!Vfe{D=RAwYl+8_CO_1Y>|)KKX<|)5
z?Nne##xIPTk!o8rj67ej6q!*C!Qz7^@7a9B22aO_<pxg2(-ZVV=3C-zf_}<Wd(QLn
zEdPB+5!B>>UT+n5jHz5Vcm(-plaJitvYNEXv)gq~7!?;6Z$2usZf0@Ux~P}7HCt3<
zvPC0L`=VcMR+n)N52&QI@<RJu&P#7>b5_DAc=UhJbuSzj8xN?|=vC<@(1Qc<{Z)d(
zW7DHuP0zH3-b(SVrs>8<PkyOMH_UjRl_l#-^)@5&X7h%K-0`{?;!Ntt1Xa)DvuOGS
zD9JDq#H%Z*LemrOXLIH{=xbnc1daAdEe>m8@UT)#8<}vqlGnDj)%VHgv?QX)k-LXZ
zO3fP_Ra2XOw^82?N@|LoTAqKsi?V+dE11jd7<wsuJNklB?zt!Tw}qX4GIS41-J1p2
zzq8a}Bx6H_$|hG|sCYB0SM2dQ`(oS1J?R0JNl7vxxq9<NgY_3Z*WY{T3$Xbt{@CQZ
zjqyDWZJ8#R_S>%oD+AasYb5KwL}(@f?@=*olGi=zGY7EyY`pRTUpmfroV3K#5TwCs
z!$mSo^Q;r2WX;^YB`luhOa@ge6>IG|ontCH6J*Y=+qoywB+GQOk6e*b8DwX}N^5zq
zvp-H4n!?=QN<=xexu^W*@k4ic3H)+pMaA*$tAh73lrO^a#^BSF0-Pf+)uDYX-38Rj
zsvf$o3iXk6tOjmA^zG-E$}xMOT#^p?Z%1RCZ-4t#m0Iw^SK5fs7J2K6Cb#j5=>}=?
zlRJ_}Q;0Awh%}HUPu56jrj+3O`|e2T;nVa7H=yr6qUZnMCmW@mrk|W7T{=ISrE;F+
z+?Ltn_azL2SE=Y*FF48w;SGfV0Td}h`ue^L$EL1sZQrPWtV!$`3l@i<GoL!><gL3G
zs)C_SMH7I4vZGb_LnY!~R$d+{trH_xpKV@<u5hI#&CM%`Vu7tx+MVcSDEF%OMlhE{
z)(^%@#~!jhO`^!z5Rb)J`It-k_dlF<zmOj=I|@N&aICOV4=)bHM3-%Zx-#PkKmJ)C
z-0xlxon6_~{U6ppVpM{49&9@(w$d9lqUCLpfHaUN59-c-aysn6EbbVDute=w<}wL3
zz=L#QEzp<<gt&CBsK6+AkG5I{a|TKW<6N4%x?&xZ{AD6{>o>qSCc|U+RH^*Nt;YsO
z+A$9cOGrp8x@*D|1VO!~=jiB&X5bj`G3EfU5J`eoQ*D!$R3gND%_wdA<KI|AO8TYE
z6Efs?e{P&6vMc3T5S5h!lT|85bp2c6X{{_DC^}h*3|~)X3B_G?<awk=GiJA2Q!xKA
z7e$r7mqo7F|2~uWkI0?>EQkI(-0uI|W(1W(o1Q^_DP2^$5P89<{P$l0QT*B%qn&Da
z-s00)Abug%9hlu>yF9gRjBSvAKtZPJLcQe1plE@+JAiq<U}2#M#M_|H1?u+M^mxjy
zO;4bb%Bc@|_Nb-vrLB;f$Tq6l^M6TWq8oo911W9L^EltZbz9?>=1qs&{`hHU9Iv#@
zI!^^vPg8PUTVHfA%z*+l;=1N&CWoiZ{qX)po3npz)ieqM`6Vf_K+mofQ@g;hs$QX;
zF?{HWsb|-Y0psDv28uEUdO)g}xAix+0nmZef0EBVEMpynaM4VqQd>1B+f1-Mds3e^
z#+-h34!tCN0ba6tMQ!b40T;l4ZyIj>wB9DzNblriX<6!fw}+vZztUHr{hIRJ@-@WD
z<J*&LXh}&)drw+bA2h}Q87CIn#_;weY`CG+Mr|Q-p`yt5=I`fCpNSN;srN0okK&dG
zCT)8@SI)l(|F|&8|HOSHr2MzEga7^O>tdn${O~ixqXh;AZrOkSVCz7>#6%n;o-cTW
z*0(zyHq0?K$}wGCoP6rumf70@_qH6^)=DgKJUM#|iy_qq)JK^Bi_3qr5XLP7)-C&0
zH3sU9JlwsVe2wH{p>Et^%r9C-{`IrKdjGpa5YL1_%dAvwzp+wC`Fsegl0BCjGWN0t
zFCC#iciy2sE((&E3WRLc-cZ3Q?9v?8yu`I@6;~60J3M>iqrFA}Qt=A*+Sqvcg;*t*
zb{Utk(a~BHGpi^gJ=I<1EMnl%qelzq!Q26aQ^v~}xf&5z+gVMB_waGkw6n4J@bK`8
zsi?d$PcD~5(i}<(bf2RIvhIs2%G{9*a3anX=M8X%lI4q7*Tq@KlZJrF92(MG@^4UQ
z_f!CsYD6?QTw@Gw=HD1di}ar!bo0=@l`}#hb@Y@;27m2K2;p&5`yZTCaQOK6?Bj#m
zL)g9{F{m6dCkFW^b2rQss~LYp3r?WQ!Gb+_elZ7ocw6aYwb=Ba3dz6H4W{S8N}(<N
zPw&aqQhn)_C!9D0W(Q*y_<~u<tTtyc=F)93_YV}>TnWJL9QN0zr|uO11`h%d`f+BY
zW%`-a;vN`8T)RzP$8;qNC-0bWtvY}Lsoo)yV&g&Hr3wsq2ZaY>#|H`Do`=(onwkj9
z1@sLbpO+k-bg!T8p;8k8M`DY3t0nz@5k59?T&{eqK-}ZQ_EOGZyrO&0tMw(6=3s7M
zedVWWfcG)-L486Dby{0nR6LfbszML))R=FI7+kIS^#l?)!b;A)bMf8t>IPatp(iG(
ztYF`pp{@YBtW-x|JOc<~bS4Dh3xGSs6P+AFFi0r_owgCwUyK(lL~Md4S1ohF>yER-
zutByrulicanr45vzFP8ejZ{cQW3UQ=^)!NT#<%C1R`}7;7im;+raH^NaaG?qJ<~MH
zpJ73d%gQ5`(dXh8yCr`3rsduI9GSdeR~;r6gAgw)G;;(^+nj^h<@A98`4E3Rfc{;j
zv+Wjv>@Lt|TAU6ST<v>9tJxxF`51~lT5?yRV_ruGAdYBu#gIA%4+Az-PG58fsF&be
z90%AIpymKbcw~exq(O%nQyDHFetJ&<N-azOfhhmEE=Qxh4!H8vhn*3wUR=0hdU3H*
zjCH^j)?}`Ep$r1IX?lrqc5WZOj{B0z=|j0B;_8433+}PqWHi?;$-KiMoI0BVz=ky0
zt7f^Du|VtZM5Q6V*hsR+qwWBMsrDdPWnhkiZQN{T*~DcF$yXeNN)rRjRPlv+sim(q
z34WjdtYpw<bA9chaK)9BD&<k1T)w+X;No$~^9N-#m)JXRm)-A6H^jKqb+bN;g`GCa
zE9tbZ7~Un{a9@AD_hx~E6~zR?P(;Xrtq;|^gH{95jYrk8)%_$MgA^b|g01MWFj<pF
z!0PDKosLl%Kx2=$1I5yR_{kmR$EPp0zBs2koN^PMm(c(FM!gU9D)a;)xmUkn11Xew
zS2mlpgtMM+j+vt@35{2>X|#hX=3H^{po!N&eFrMIbr<bFpZ|*r)ys%C6+^PitDNf|
zCEhzqJAg}~P$-^@vmID3Dx|LIvW`l*>B0Isqz@nj`}v-H1L#?V*CiI+SR0MWKlNwi
zY(f@i5uy)pBP|TbH=@EW0hoABgD)|1e0&^D9p}>>jUux0>ZxuwWmr!Kf3cF?$H`-u
zt@9Sme?Ny~Hk`CtF0d}J(6P~4{uhf5*gg2S8`Sm#rO$!2uaXiBD-D1pYZrz%aZBFS
zBfQhjt(TplkK2d#&Xxlg9t|ajXh7xFHCzHOIKJgpISW>1hmdcF(&cx5SO$!w`ZHZ@
z;-%4k49u&dHWODf{O&b3H{(G)lSTJ=FCTp91<u>sd%%n|Z-VdtV`unz`5r4XkUh+Z
zQ&E;aUG^Cr3{E?N*ydP8$?kCf>1-1U+f^yUtlDbOO%Gy}UG%z%$9P}ARFeGWdsk}$
zjZ*#m*|TTtMo>8wp&$jp4TuGGElGbn77^+Rs$F?{LXrLhrN6uY9<^KAuFa36vrBm?
zH#dx0@tD{U%1{YzR{eZU`L3jZ(G1I=$@i*I?-c@jgRV^=p&E~2#R5GllsP^w_q;I-
z<hpCDsnr@2*EI+diVkP70u>iu-_Quz)qx(HpS|I+w}LvD%+Lzk7A2k0<}5hsNPUoV
zAt&uZj{6)DcPm0Zc=8_MMR-g_|1MlE_R1A<KRFWVtb;JWM#+@9Hugmc*5Ld{M~z5*
zob&Wh8H5hVI#O3jV$(oV%*v4ts<_*1I5tsb357KV51ZR<%6ZVC(&t|9TE3BB)u~j&
zE83bjHx~f=;NCPB?^zMgO_*t88{EE2UmW)(?CGJlyN(AzI%RG-!8ais&tMkR$yL^o
zAh$pqQ06ucTF#c1O5$dkG&&&Y!`%cicpL<ZEUswgmz)lUDkHlPpIv!l_O5I$M2%y3
zsC7XvOtsEq&w17>b+~$KT3jAVTnezc1sUxHo!OD7NO<<l*1*{rtyK6QrHDAFt&4|@
zR_N;w($r0>1{o{wHWOT~P5#9btSKSSSMFi2kJ5NaL#aA34iFJAcvi>~SM|$%MTINP
z&+kj9DFcLLSj`52X1k>wYtx=s`&o_7(MzV}T343&2HegtN_U@YtDuziUE73ixlZ<(
zR>ZiKb%7lwnGz24jiSTHGk7%hv6>;gl=hOnF_s<}RK|zpGDb%DBp8jv_T89A+~i+j
zF?B3Yt%D`x`N{pG4ealr5gnU-*>qmFf1iv8p~pjKus)tZcGKidMzHm;*FZCK_fDp4
z`~J2Ge{S48Cl@mAnOvvXc&ue;E_rETC@?1C*wlvv&jwZVBByih+2$==zZ}y#a8!5z
zF*V?s%(WzK?{7Z>Km-Yd$CehRD{(Xk$Ev_Pc{HlCr7_{^bDd}74qrLGxXBwmB5C-P
z{HT=%8YEyBvo93y!!$!=pJ~w_YSxjjNBjsYj9xNBC&-Ifd7WcTp{$UHW4fT+gSCp#
zn0L|xSuF^*wGRIN)<ZkelY{3?*@T>*_!3)wy(p}FlnkWN)_w?Yl?F5q>^>%wiNH_*
zML+KFUNg&Ur&x3nKpZ>pHPpR02ST|q{Aq4)k6yD;rr$d+&<Ze21+ZzaKE*Yv4kZ8q
zHk8N;a;y%QpiqXgY!*j*0ES`OX~&pTb@EbIZB9wBqK`GgT{u;%H6BR&!*=%Uf2id!
zGu)J6yzdI^Bm|1s5Y9$m>fnkkj*AxaEK1B<Va;PKzZ$iGrC?aVju7oDy#Xce)%^Ne
zIH1D@N_bHf_Z|lVDQDxiSJW-*$LlEjW%GCK9IrLl3ZTnr_tJrA08&px2i$sL#`w`o
zH<y0tjs%(r6zlgrCp``K)kzvs^&Fg8RVb$D-1=ex@?{;k35=Xbi=|VwvVm9u!d{RP
zN=GxZJi4!>yPcy@j(%Sv&rfbpm4+yv?9re)WVf`)ZiMn>o;m~oq#hWRhiJv9F3z+l
zf)tBbJ$Q3Ob@KY8c-ztMkaxjhZmjE8yG4ev2fXVLV9I&`Kd;Atdb{H0R{wgnR00Y>
z{s4DTV%*g2_!9)cMo%p*EtJnbCaS4uN#VS}(~$`APaJ3#AcyskB#z)}Pj)w9knU>)
zh1qm*9_|1_WM~!<OI+FbmcNpMXS4iAGt#FZOL=B-J55c1g0p>b@8U&7h(Qj?1>s6*
ziv!5Ky3CDtKSjpapQ1$FD)#N$YeRm+xwqCuIBvk!Y|&-Iv2l}IMa5TnPc8jw)A9^M
z-P(wG)ZI(0uqFLV%*2p4L({$L!XoXGhwC_+>btp8MC^7q>h!&poX;cl{YWV`lbWrC
zYDg=t+Yy8*9~kVkIdbn;2>tOlg*A?lyW{UMA#I<u{D~rF_8;lTZSD8<Omi+oK?s5n
zE`xzlO?L3&b6N+p*I%fjz}^BBA)U;dNiPIow!Xcx7Z$IxBuM4bWW+p`l%&};py(rz
zs<P+GD3}>M0fRX57C4LU6hNwtxN%Pm-bi0v3G{xk`*`%pl&h;HygmhpDE?ZwzE->f
z`Edf@QlCX=9OXyo=7PywwC`yHfcw{<Rz+VCcx%|Vj0Mp&l95|3hw*@|F&J&(jyU94
zz9EJLD#4tb&^Pm$vJHILKE|rO{Fq}yg06Kb_Xd!^b8<^OHc7rr99=K;Qr1K$yWIlI
zv`T_vhvkuK*fl)IpcykW(v$Z6?PuT?BUX~C9{pRG<xoD|$l~*FTZwCh{c1o7Ew{{S
z<8?R5q&W`*Y_Up$CEGNB?jW$v;@0YlI}$$USyO{&OY_G!lkP|b`~B@NcP9sVu%_ez
zTLu%B5Jo6pm?MxXhdub;zn$|&kcR9O&rXMF<AeHlN|C1q>N<Ri9`4-+#)%TpR(4~M
zcSk&M?B%H#LG-1AuA3z%!lBU8T<8;yl>SSsL9iynG^>)*19TipZtd~-zB}-lE%ZnH
zGV)?zyYkksB!H+0t3&}3Tr@B9y21moz`t@fM6F|dSBxbd$l>6F+UWf+h61w+5nZv>
z-t}d4bTrK-?(J2jJ<G6o1maZte&0Ctr+&~5I*hnVSv`4oasnz|_-t+#Un^Yo0=UVn
zESDE`otNF*+?HG4t~?>+7l{H*ZIqdHtd4x;;d>(T4G8&z;m^vKswD4E)@g2PI`o)|
zUezGwl<&e`(){ZXVQ<mJZAuPyJkC?XdT-HBn{IBKAf`af29K97Dm)#$R>K#ne({^?
zOP^wtCZ4o9O{&)0y0h25{M=XFcKDrufYXL=Vd{Sv7&9kS{Th!=e{6Lw&Y>+qb~%vG
z7j;7W(8>W|aHjYIb#!s%Hy2}kI{YwHaKjmW{YDuCDv*)_V2z1$g;0kWfu>acjn=uq
zssL=$0m>FqJQyUN3-602Z)YCF7SDkwv$UL?iN6-W_HuGJg0-lAK%D3!Dc-~#1mpn5
z+|K;AkefvdfO`gEhB)7rCxZ#*O(zdIYI3^_qWLSrVBg7YK(a!Jq?8A}-)y$dicgyh
z>{9Gs#wwd0rv**dpFF<?J=^ipb^cZ5z&g|Hzfr6CIVjoip*h4zL_fp$Kg2}J3_LQ@
zBcm0e2_7afD$9m9VAD*aC1vH7Ws)}+s$XG*M7}N_uPDz8S!CSF{~2BVJiR$phhG{9
z16L3bp$TM(|4fq>!c)>19y?@71(;}h0A*%o<~bxMV6}3rOEh7$;-_x_CPRgsCyd*`
zA}b_>^@Sma&9SeG9*A?vCBxT}kOvbH)KF){s1PT^AR$mQl|gAsM)|6=eypo-`mR~U
z(+ocMe9#X9cev`{V?<NO9`$yXBYyo{F{qS>fm{JgJNke{G~x#`vvRd{>K-f^Br%O4
zrl3rpV@mKNp{xtLcPezAxWwan()@>VL=@yLUmX+@k^8t_rRPB-6xX6CXb>QV8fLZ4
zQ`5S>-<b#g!a<l19at0~^8iYFO!J04fFwN6kB4gdAKQkDzS-ABThH0F9x$LP;37pZ
z2rk35y!05T1${{oJWxm_fp0zpGwUGiuaBohtRAhF3OeXH_z~G331tz&!4o&pPAn-c
zL*u`PhHRSBs-OSZ*)HUJ$->aDDiG#yCa@Sh9WF9wA3uN;sg@TsAgc()&oXu()N`O7
z3_wZqVI)17#{CLGCmO2fp`sQ&9boyR_nYIbpuowR?~D^D6Xn01K?MX_8O%5^H?0is
zmV^1a`;PUh16;f7USRX@`yqR-zFiLhHCRt|;1RP-4n68TJFcTb27?sAps#PG8h|WH
z29^f*N7jwm_4o25(Ch#hlg1!@D$L#U!}dGUnDJL%!kNTx-&X-KVu4Fq0`V@MzTg0+
zt_WnVM4ZetsJ*|0z$Ur#>esC@%l@@`YW>w`0HmYt(O~zok+h(hXHxZ$5aJN<;y}@x
z01^r|QsumhsTF$Ab>YGxU*DF3jO_`SLk1%Wk=PQEKg^<*0yZtsvG&nk4y0tYcP0hu
zVpH+in=ie;yBX6wv}+2;BV;5Vhw!4iDi`NJ@p^S&ObiU^E}iIpR7@fiii&f<gf~q)
zP^pfv%QFVb(c)nIwD8(5*k&jeb&TFB_vA-dC!%05eZo8;8YZq<kned3iv3$fg7pq(
zLyN(-V$xZ95NgR^yRSRQ2AsY4m0#FexR>riB+r{$LY@ebL)b7!KoD|A$OnX`kX8kE
zoiT{1^>NA)q@k=5U*X~X3$T0z@43cVZPGYW?0J<Vus<y}O@vFTA4L&L5vYRuQkojT
zBLn$V3MqSPHZMe-P4%?_fmGfeWO;Zc1l1ORj_VpOQz3EcVKdq)bN$wylZYw{jrn=s
zd>ExY$b1Fm#tuPislmOn%jC1|;aymac!`O2#%$W0)*(bJp^6_RS&gZO5&f`E8xUu=
z08{nRf<E8A-@M>m;PN<kc=it1-j&N79+t=)c6YG|+$#UkxBL)TjePxe^ox)-H_-{D
zw@2$aE&Hi{GU6T{H8eCJm9)!^K#eoy^Rg!$L83%Rx3ESskbgTQm?CZPq}3Km?4?7e
z-U8$ISla*dpSzVy>oZNV@Y(CF?p1tt2NeAgZsP%iFvR1sY~*_n6y*9=GOSc#;VPH8
z!}!<NM#&P=7INAzu<lCr8=i(;-YDWn%;xS||A-8i0^%Og_g7ZO<(Ot|o|mkBeB2zU
z2M}5-COE5V(}3b1NzMX26IB_l8lvLz0ZsP;Vk%V}_PBaiAq&BY*r%6V{>2dL<{?Re
zAf`a><~ZM*D~PGwkEpODNZ=>37{DZS_m_S5JyMzrRzJ^aI?$W?2nf7nvo@@5puy=j
z=VDlA2ZNgg>p>y_FIGtuyE;Gh{u+Y?@S!f;_5Jz^_CR0^w@i5By6Bt@el|cZZ85J2
zMQa0=HQ19IKEJ<Lh)mM?^@+Z;Sm~P{iUoj@UJ=6GGWc7$#2O+^E^&Tz0dk}*BA21S
zn$aV3J}Nf$caV7A4M)D*mnH+ZY#CMmVCxne5tDsUXOlJ5F&?vRX4w2-(6<rq8!3(T
zdn>k<$ptI!@cJuku(G(N@$aw-K%EkQZzBW>46F_q$R0wQ0Q`aaZ?Hd7zX2x36E^4&
zs?|n4y7bon*W}(D6|He0_sZG!1g~aHY3~gn<OxBXDZ~mv?V;7qEv*K?+ye3{5Ho7z
z?!B8(r23VC%pDhpkw^X`@Xj8S??r~tQ#{8+DnMukKFAT3Pl&4d7_TDlOY?Vxl19CC
zpdfME78P@ycG{=0H$w6sfs96VHIzNRm9vpDy0tYLb1%cjE%G{yvf6+SE__{f`q@L5
zyh>%50j3O>x71b6K3HBmZ{15*S1jEvy?xW0U7<gh{&0O$v%#7dkGDR*E4}i`<@kL+
z%U(P%RCL4NaD}kRi{rzutp)a8H_%l&v|{b~J!`ir{kY?gy}P1}*X-~RD#ia^%AD3}
zSf^<Bvx7{aLxF=v@=)I;$Gl4VEX9Syx)2!R$n=!}MjvSh@A+?@GW1A06-7AJnNKID
z9Yf|EC4za#L<~L~xfknbt!~S(5LV)sjasbVcKAgL194J=4T<p}s@RV-17}y<q2M#t
zc{cH=5+DNi=^c((N9fZi9Z8EX0H-zb+miq*6?ik+??c4WlJGXx)8O=1aH%Z44CB#u
ze!3JW+uwU2rVhpBX&}URf{RdJ*}bQ8e297X+_TdthN0$y@?=H(+DB(&73}ZSX+d2%
z(vt2tKQltTzz-Ky4PKb4a_AF*52SKF+oGHyU~K(fzQ9y2#<O;B`r$j}8)eRZfVVR=
znH|g|E;6x0LN;H2oo-!$_zRTNP$xi?973=HDIJ-9Rb23(90X*kiw9z4FEA`;c>Vgk
z=WWLd9TUAx`Qi%lEGS&<twO04<$FZkYJV#bKDn42>vi+DuLAS4L%PV1YKRYpOz+5O
z&k@xO4pMgQG#L2?KLc{^uC4$M`w9^Ui?xLFI9kNerR-`~dya)7EUUl0;39-~YEa<t
zrziCUom9hVW;7ow#bLpa@v8Y-IW%)&v#{Ttb)wCKiztasGwb73ROs%a3mQPo|LqH^
z!Q2f}uoaW1r<t%N%Q$neMB9S`!G(t1Vq`M;FHg5Sb9chkU#FP>1rF1B5U^W=xZv+_
zCoX>d5}`s*I&$rDY8}5?8!mR<N9_eJ5&_6v803XORs@U(&{%`8RnFr1Z6y<ZZ(B$q
zOAF-W1<bT3l#b@#hT_G8bKHoJti{(~ljOd*t>3DUlCBf#ZZsL{+x#3;PZ)x=2eue>
z3`+TY9tt#ohy2&0_XB<S5i+*bUsu|xe{{cAlGl0tm}Nx<a0OVHU1i=b@pVL?!H2+V
z#7A<_a8k+Pc{Zx6*euO=7{PM?{{7J4#ravUH4=jX`ZFtGKqKv{LQC{-%13FVRv8b}
z00Y)`J%E!4CrD^W!m<gao`ehN$9%e^q-6Co?zMZWR)D{Wi3tP^>c%Y8fR+;JTr1l`
zT3AHy7o~X6B2$CfVt<_Q0+w5~81~3cw3<^yG8^O-^C#ogt*R;eV&*<X|KK+wwol_H
zG7vcmfIAV1y*H*V${pQQAap73^D^wolPBGYoI!DrjZn{xCj{jo$o9IaX8h{p(-17j
zN+6^Z{3d#($si!b-IFICSuK9`I6|bz76?K@l=Uuj#pB7wll;o-!|nBA2plGOx0~0q
zmuAv6>rrT1C#oO~X!-+c+3M^(Khnm(#f&H#rsrj4M|UUrT}C_1@k@0Wrz2#s1M(2j
zpM$Cg$l@AMX4fLp9vOzM&Y@uuIG)$OYZ+GO<ed%mFq(;QfgRwE3(74U%|wPkOo2PK
zY+=@B$$P`m;S_P;lM#?L`)j9p`BzbzA=fAC$dyXxRZMB4`Z{P(F&P6{8*c|l5O_S#
zvchk5+^>xGPy!~yxE9*SJimmg3?fN%4w|5n_VC{$<x_xkFSWp42f1s|)<=Q>IOFIu
zzlow}6}Z(7fzj617J<;9QKRJA-q$w~5?kost$D>7c-xSQHWGh3be6{DTEB+WqX;1t
z(Fm~lU5Z`7M~9-Y27o-r4-d9mS@A{o<9W@yma$;OJ%E54go3CRMlPiIf-=BKL@sk6
zF@F)iTD8pTWdM4N7k{8-yEG-g)I3Tw%y@+4W|VvYf5!_4^$PBd(pHDgFst{1G{uG^
zJ3#~Q9_Q)fMvYK{^Z*#0mYJ!Q##;%O3f+*Am#1%KMfG9lSyvv-GRtcq5NC5xV27QC
z&CJRQO!;-b?C$Oykg=EAgSfEo8<E-ydv6HQL%*-t_<K2es7(#1H^rkg0sd51SG#uR
zZ(mwyTuP8GMdcglVKY~6&6sS~w_w9OTLv<V{rhf-Ai>bCyXcDOVJCy{>y?@|fVr1y
zxcBYt^>yfl5KV!Z0=6(GUHe%?*4Itz0p}&CYN2}$Z$!pX%WLm9n}eNvo0!;QK%%?Z
zq~z`%^lk#flDy~WZ-GQF7+4t$4Y(4uz!=GMlY99*LkfXX;m=p8WOHBbz$ickD4F{Q
z@w<~43$m3c2UdQf^c5$kGcfJ==OIfx4&don5C-P#{AVtG>%4Tj1E7&P9uF2Xuo|`t
zwpA(1tU}8mlyHraLrAlfONT#1q6V}l)q(|!)&q<Hs+5f6Vgk#4o8R+|7^w)07BR@m
z&289zM;srr#13hM5;h*_QALy)g-x|=WP15?rneP_YY^&gX$~yB*!lT+^w?*<wSy+k
z(AY$kFEtU3aY`<6Z>@**zCGkH_~sskEYyTRB!=1yJN>Kcr>JkXu6!ZdbP~HCGGSer
zH^T!s0=Adx%%N}J>pZ3FIBD(GbSfh!huP;mtm7Q;Eqixb!5WZ<*bzvn(S;7E0gqC#
zeK*<@_?`d(1B35fsW-mcLN@)?m74P1OSbZ_uGH_ZfBeLE>-^fktla<R62`jv{G@;U
z&|wF=QEe@@mnie#^K_w5_iyfv6su8f7RG8eFraK*%F1Q(i3R?)q*iy)ju!iwqp8wL
zN|f97wzjJ4!`7=?7|0u&k@Q!M(OXPlrZ(w7SO{Gv7*KY9Lsq7O+TP0K&=@`c@z~(f
z8DlkaZd2#y5;w~$tBK_yytyYyxqu&2&O19hE5JHWk`r{gIr9TrXes{-FZXvCpMP@+
zla`j1`3&$&ty;gWHHRU7@ZxbouJFFp%*@QEUs5w`>Eu0WyhW~=>;5A$2FBrQ^6Oy?
z_9<_fXR~Y``lOVb%s&?Rl(?dz@;D^3+kh-`7+$^4UhGr1hR7h>zQrs3y5MS4*Zu3n
zkL2%Q9{0_fIdq~*=bWlcRY~J4b+NMS<;#~A9jj-om(#3Mo;=yk=*VNWd*@mZa^a^@
zhBh|IW;VFu%gna6Hk0fF!+K)Mt}i;z50BgaXsn$Yv1WF5cC(96S<Cz^LsoeU0#4|m
z(1&Lpf0Bep>ViO6?wxp?)qj{D!9)L^tL@*6=6`>|{__(5-<XkKb7l4Z@&cf^{y$%4
zFXEEqQkntC$3V?A015}WyVyk$aCgweO{tGuh|$JoX1-<hh#k;e9MPW!fz^@OT`Z~*
z<cCNX<OBoz%exK9<p9F~K{%!}Z9v^d!tGHLeiy|j-`Pxliw5Vj2<b88+(9mKA{?7-
zH7W)CkC<+Us?cQ;&YqA<!T((C!zKZ*!g(zm{6K1<cXceFcc{$U96~MSVp=|Z%5U+0
zR5!4pjqfIWF!MCj7f>96E09<{5sc3+Y(Oz`3Yhu<q){PV3#eZ^P$?vw3C8>E0jsNm
z$qliEc7VDwGBdRSCZk#aHG-lZ7i6Rv+?f3J-3AIGT|GhR8y~IX-_fbvWw5srn5^bc
zpB^Al1_8~g>w?e`!FL+L%V$7xL=-oW1imk*m)_nUK&|NDZbnKejAuGL1H3U`)SS;-
zI*OS>ig3E)sHw?poGxF68IuV(HF{nyrqFNlvozV<F|n9B_4?*&m1K1^&UbSI0ix9_
zx%Rwz`P7XcQpV2a{ovOD^Qc1e+lfJ<XA$Qy0<)N@;b#%1Uep6aT;}is5ruz&@~37W
zUn31mnhf=R+u*GRyd5-)=;9GwmOWgCj7@eH`Ny0-rATOuLwc`6v?r3~MGsy6EgZCb
zC}Ve_av5UwDHnbV%KUBXpC;S^PLbocyIaJ)=>SvG;lqc=4*oFy2mI3#*nJGX5%^X$
zXc;rfio=o?rt17T12O#W`<_?VO2-Q7nxW`Q)ChrIe8ih|TPlMAA^~U(iR|Exbz;id
z{BUe#mH5-n)5h7AadFl!#Zra0DcGHPU;XCOlasQ|8@veGQXBV8a()ir|3G;Qqys~K
zIBsn<M&TIpKR?u0?udPnm8DZKz4zw}!M*OTt~~?7y<uTt9OyiWD|YD^1ai9$ib&ev
zmsP@&2}r(-J$UI?L<s>xLAVliNuXvQN5Jo;bKNe8norDS0Y}{kMId#s0Ceu>l#?<x
z7x!d>C!lHa^SYqBnSjAA+rB<@{i(;<P&e_7DN{AS&pD|M?5xTi-n<OkqW9{GB&`Gn
z?l3(!v%5IsPThb<E_m-zNrerZ8v`I)QjP^s?!UyPCj-Ymctc3;16pn1twK_HxiKGm
zd?L);4fXvx(TBl<q3_zAh%P7?@NSnTau-ZWE#;u3Rpm5A1V2K=7UCJw8^75vKt<dS
z-3PK}xjk2^0%32Ktj(~<%*(?j-Fa1>Z9^iWDS)MK&@|aRBeZ-^T$q>&WY)vFQ7cXv
zjWinkl?$OvfCLRZ$@%ZO(3{I1g?xS=IBAQHH8XmZV10(u6Y%{Y@^$qsl*w1l7~=c+
z8=<3R)3^qbV_>{tkrvlE3QB<)5;;0yxfUmCxI4D!yHd-Pz;s=1tfdtz`^VFLF?I9u
z&kJl{KYsdQ#^&nTP#G#UBupg5(C0v6k1iNIo^p2B%U4YN8XtiiAozZenb>N@;n98L
zEZ#T^`3W}1+Q8g{dCQAyH;%T+@yS`}+&A7gfOHN#Sl%v{4_K7Al9Bo>jl?&#p5Ri;
zhT;zEc%Uke)QEeYMXa`obPo=gy7-$z5?0T@iK<!wr>f$mLHI`a4LY(Oai)h<^vx$m
zv+~fLp}1*;iS14pnnNB=)P+(fSMFMFuiH0{bcOq3DsnM4!T#lMsk4j@enA5~A!T&=
zRSSZ9J(_%xkVz2?9&|Z=6NjU<GJ5_`cV_RZ`bD~lT;Rr&IPvI&is_-oMmTlC;(#Wi
zd*CSvoE`|tu-uCLFWsjD3(o<{|FJZu5vn4j;HqW!%`@^Efe?>dvicT}K+yEN(}<4Q
z;IDWh|6ZXbGjX6kqMT6bIpomv^c0ef(R3jL6Kb>v(#6;R!Y!z~Zr{G0D2KiBUuWXF
zQ~6jvl$c?*5;{^KiX!bx(Xqjm?TMIRXkIHS9Rtzz1IWW|BLT?Q@tuE5bpKW}AE<QL
zz_*Qs5>J0Wkmldu_J6{l{{mw8ua`mp9L|4dI8j;ZV};5TVJRAvI!C>n_@xe{1t@jW
zs@)%5-geCID&(^V+fVNMp3nZOVz!^WeMIKdP+M!O7erH!(w-cKV1PXNH~A*&>Q$?E
z+|9->cAQUv_;+wa3MRGs#-UT^qU!AFS=ZnEJTbQ%l3Q2N6(d6KH1xl++GkIs!nU^q
z(6!l3_^uOF$eYE4!q;qyvR&>v4SOD{EmvAa>Gyi+i8=&tg^N|8?pC`$sm0#pCz=1#
z>d1dqKL3B3k<7Gop%+D<-Pl96K{8r_53?I(8&oy$8wsHVS8w+*Yv<E!GrE=gdaX)5
z?1^9B%cnub&mn?!VxPYHtTBSP$Y(B!hz9~S>RVSL&MXg9(tlN4Amc6KU3<J*bXC9h
z-YkSx04RIXDU|Wr?@21BV+Hc{m~Gp(4fQG713xEv<myF$$|x^^GiDz=7e70KC)3@n
zT$V3(3Cx!OfR3&kKz<>NN4vSB8zE?-_q8h2NzgqSy?>;nq`ZJHREEL_ft-*-$_Tz6
z(w@`wA!yAA!uO+&pTGIowTH#u+!4^<33Ug7^B8fkn5jA&UIC>$*Uk!v4(x_|^i1P@
z%>2b%Lz6aHp7L=iXkVMLIb&Y~@#EnLDc?=}h|F;|+vdy47mxl0<6pXB0c6c1X`tJ5
zf!Z$@Y_hsij`zkvcSHk%EXpxB<WmC)f;cT=cnO&3w7<YRvO-^G0+7kO>~_L;o3iV9
zh<5px-twbeTwL5;$&Jp=0q?b3=2NsKH{RYLaREU{^!cX<E4#Xmwa+fAG|T(C>4KSA
zj5JJI)dr~+g(GgRuCBgS<+5(R_Ezd{OTNtbIuiF5&|XJfCnRs~>!u}J2m7R1`8l7W
z{60RB`-NuyvV?YM{CLfZwO2ZmqSilcD4*KcRWvtyw`2{quXksSadytzVAhZ5_wQ(d
zGhS;165C~$)6xoe`5eA=0?!BO;~yG-@kwQBw?jKer7WPsE1q3onCKCg@r}9uc9q>{
ztzd#hN0$gFnS;SVq#D`S(BE#J)r%6BzatTH=6&~PU04nE+;>2aLRl-B`@%P~_59Xj
zmmk>vD&pjS7GBqNHuidLM*pEcYUGBT^A;84Lr(&Yo%gS!xV(VRTs=E1i6|_fZh`it
zmg%MVj&5GY0tG8lS{}SiFf^OO+aY5N@9*MIQ6h9qsacl5z5zHNe5Y=2I7Ifr<dtn5
z9f39@g#g^!7Z`VR<CQtKt8s=PP@E1IkF}#5dU9oS_pl4nr3VG<U{~BYF#jB83wfu>
zB|mz=Pt+}ciuyFgl|rSAVn77aMWB$+8=DZM13mso+J8t*Z7#AEp5ptGhl+=VS{Iix
zmq2@if)#vRyD-7PDU&GO-}jRMKxd16QOHER3j^I+`P3;mNvt2bG%$G7NkjdY4gLw{
zMmkp6?E>sHbRgQtWKB(|5HNTk@06f7L=T6<AuS2o_p$6AKDD5M3qY+_cL|lUjr<_d
z8EaT7Vs+aGO1fC}K%e+Jr01a1u3!iE`qW8+1K1M!RlrGY2?9}`aS_uB=N^b^k$7dd
z(V6KkTv37@3F`k-?Zbr^tnJ*WW!`cHr;}T!cDTT^pntZ(KV3R<y&o#gKaUnM4+MqB
z(k>_F>O-XzLqG?i+S~q96<ZHxB%<hVV${)_gglQ`SXSRU>&|M?ir#hBPM_CVUtNX8
z4y?0IF$|~||7J|Yg?&G7@&7RL_rIUC5x-uQ%b=4&5Qu8AH&_OhH`!5RI#!wtM}s{?
zwK}ZDnfu7Kgqj`kpexFep@XgS?dB6~F8HwGkrIbd0CyNv5`}kUZzNs&OKHRR>)6a2
zBGFVb_lGh%6k72}iNq*e`}}TUB$;<b*lb1B_-|DdA!8F0Ag9Tll_#JIMD`y$i>vfJ
z8xnjk0QouMYkqZe%XtZEC2aa*8{lEx#XmVNLXqh#DFlUb^>Umc5Kq%bwyFmdT@yGi
zYj^^cZT}8x{MT9pqU{9yS^y#<54|)7ty0O{RRIlab|*Z5_^ODBTN1|Ag8<kRbatzn
zkE^hmp!yJWCt{I~C{3weIdcjQyL6mB)Hm@~nAPVj&`Et%3)D#ZJ@f<uDPO*IC;eyo
z2tu;MFW%o18G@#K9sB~7zG(IBIbH-JV+)7V7?OmHWpEbDSizi6Nm9eHI|Ks6o&8p2
zhY`yLW|~5<M2tZJjXYmdz%j|AUOL#nSwow=<MSZLAsZ#gxKmImr{yq$tkLF!&J1DW
zj>Wt48a@PcIt!c}(yJ$h?2~A3QjO2Kh^e@L^d)hrz*Oz@2c;Qk!w00V_edYOU__S8
zaP)-+#`XgF5Ojp(-t>g#!7o4#MxsM#kirW(FwMEEp=9K}h)n`I@4$1Yp&sH?+2E<7
zlQ!ZTtxB1JUycCdz<H~=@K#TqjX(jA|Ae;#rzqCU5j8mW?ganHI^;P7_Nb?RvrppF
zN;83S#bxrh455q$3q7O{@G64U61A|ZTbi(60Lv0gwd$fZw70|#<$Iz7QFyGSMbZ_>
z0p3f{Nccd++HX4ub8HXj<8y#VM(0mXPwjA@28NAqT!7vj-}zT1ztU-$f3R%zot&Kf
zD9lzP%1cl+&{MVN+0aLM#MTJk(^6oYwE;yw-gAn)8|4m)dak7$E1%ACjaODyp8GmC
zo@M(~mVm=bXq9v*!)q~BH*7iAM3W7r#)iiH%7M1c*!5z{{hv+>*F&#QBsx?A1WcOV
z(p};5EVTDP($&T%c+~FY3~On|LEKGGOOt^z1bSn2kvNS^OUTyX2{a(v^>z6$X^BfJ
z1hYS%@PNL|RqM8X8vWQ0>}@}IF-J?6cQLI%<3p`6pIYpTrtaA+>;POqzeKuS0vQ(0
zA`}BLHc$aKKa(Vv{`CHu?q@*X<d%<vvJ69n2n`G#ogyO&sKYmAmB20O-c$qdN+e06
zRvPGV=--Wm;AwDKp%Y%!EzLW)-~}k4l$ecl&)--Ay4HDv@6sTaCxc9wSp$%~`A3KX
zYjVUW?QGZh(8#HtK@f<};1jOCS@SJza4!oOyko!I%?!u&!(!Jd_!3O*82RGHMF)&x
zaSV%C6|A+!%oAbzPbnvu!Q<mZ-LOAvDOCEjwsUE6UT*HVu^8@3;O0d3+7yo!6`M{&
z)F3V`vJjCB%qe;q)Xjw$s`O>pI@K&?x9&&aTDId%4RnEajG8DCpsfu7)=1ZQ#c>#s
zT6EG5uxsLAx#GOrt?>|?%t3dUF#te;|3izc06fNrm6Zqc-)^WwNAbK_v%6?MB>;%x
z0n`$W4yi%M2Q~U!dJnXZBKSU9+uH}xufS?gt;kmQG=@;*$w5pTa!&%lHbdv?APWd`
zRkki{Q)>o>C_5*b5(35pbg(OG#T!(7*$7@f)XY#`#Cr-x64ac7ce9zIZyP7JA!`4L
zFz!Vgj!8uWjZCZ4fJ*F<aS2jq1Dt7zIvTs()v*$?s7o0!`v?Od3JqDkP4k{qE(XKc
zaA0bikF9?nrb2s+I;k;+Mn;h^ZbgCR-Zkf4oSZ(~-7GuxMQZ5?GRJ~YU4YD<;L0Xn
zNl%RSt@t8=wQvcndHS-Y_-M0Z92%?|P2M#$HA7$pJvBNyiZlWA!sxu)>4i@cBOQqu
zJ4fQan86hCh9h`;z{OLCybKbn_C#p%{BmD?z6-Vn@A8ZX`@FM9>TnBadm+yW>W)F}
zbEs>!h+FFB)`CJ4B6p|t6E)%Zn37R5KsoNb>{c2Mr^R&(tp2Ue-;4!%xv~u%5%{QP
z;fpYktB7p{bFD;K?nJ{3Ioy@o;M(!-h;xQIE~S!^B}){MCZh%(I5S`n&UtA>nh?AP
z@|s9-K4@J?eAv@OY(YzzF~PO`^NWF&hEYjzj&BXDPnDl047Vbw2*56K#LX}|<ZWxh
z>r+nLMBRCg0EpBo_MB)*FoBwe42}`ak~qO}G;F~OU!)K(joJ&QN*i%<KyJEO^I$9T
zeeKZ36AfpLxtEtP7!1!Y`xtuwX*uH|AQViY1CroSLFC6(1dc+Q4C|HOnXj+Gu|qKy
zxyRju^&n4wcVrErro*hNj4M`ZanCX><%Y!QUr(bt(3DM@Y1SzPTM2r72ROnfr{vtO
zp^9#E3th_6ZcPq`2SJ(GW?6{V1gsAQFklQOf0<p07;I}O>7>b8n)6M1#Z5_WJk;?D
zzA4vYSK!|f@r;f(fP<8B>WAQH)syI$vkM1YI7IIvx=Q^nPP@1F%&bqxdF~K6_n6hq
zvUwHw?`Hy3>2Y1O&{Fe0+U<yUTMUBmkD3E5)E#F>+t2|!(8t`m5ZO03$7pD6DyY<!
zB7r`hjLwll3JyAB>g{o8<Xs6ikq=;H?+&s_jZnf>MkHUW7DaoH?>U6y44leC?h>E5
zbx#oq4GdZVtH{xY9ve)d9h&svE~RnKP~r*+>cy;Djfz5CK_!J)$QArDtjlDQu!PF8
z&w&UG^^|%d<;s+;2?4+#;%foi81-7#L07m%+jRT9MG4z9(LY)Cn)v9jV{LRJRe~-X
zN;^}fbLnv6`Zg~aTOi8OCSwH+shL9~D{9tE)L4>&F2JcfAz$zC+he_kKOyLiPMb!P
zj7oS!rK59%M)X6D!clK$!0(1mra+knHAIjW>PW8a4yKs<tL<q1P-iu$D(I{Qup^;S
zM9nkkEG%^1kplc`FwPN<%HZ3QAiF36VjP1|iz!JYqxgt|6bE{>JD<2sqgHd|n+Ctd
z6q-L(kZcq|LPKF8HO9IYx-LF_(R3s7<{3y(97NrfkOdzC^|t`|v6j9_rQ5@LLlwWG
z-G>K~IWNnh?MM-W7u;|pMaO0ug(;-hK&|9D-U7`tSNZ3SA%7F<N%SR7CsNc|C;$W3
zt_aH#YO~8R+(p(Rjir=qat&GT6q7k;kwe~VxY%pxJO!F%_^#p?&%$e=1UED>iGu11
zInwxw7P!LTum#o?_q^2Ht@o<+hP;XzrOBwJ<rp+*A|Qsy6bI;i)d5O#l)*qM)F9f_
zadhY`hlMz48l@4O2wjP#(3gi+fwCYCscWzRYgr2otbVYUI}=G+;YzsT2x0Lf2a%i#
z%SSPUw}2dSBVHD)fR1v0pK!<$Ybg<(@&JG{kYY15=86`k#h*AFB#}9*t~)9tXOhQ0
zl;pkRrTnbKUWH|w4=}ynvu{8XiW=%60~KQmP^kuLlWhi|4x191EFcOkywybVaOvV4
zMG@?>dSR4?ipHp6-^9hUT}3=9vvT=xSSH|IrwHIv>|k{uLMMw90F6In3?9shL}pv;
zZa554KX@t<rDK4wh#rB&l?DI=BrbH)awJ-PA7ROXR*aNR1V<2fKp?mRf=*61L_8~$
z$)(8<TjN0}It=&%^yykPI1Cy2^I()wtJE}w&MV>g-&`%+04oc6l$&FSk6;~TgE@{s
z3vdC<X|M3hGXa5Za_GMikN^eDtCLc{Dr0F0fUcA}t^wq81ab-1JQAy+TRH|N(+=c9
zrhB1m1ss)7k6LZ|-riBc(vers9{@p&G$rv+M?A{un1Z*-MJBcAOc3Y;B8;}6Y8su@
zC*9=}ZDfIxEZ@BqY^{^XWMd3XikS~unuNQk>g~u1hw65uBm=LFWOHzQq9d1)0E~By
zU;a6#%z6JdHEbDdT!iG5myrK$`pZ#@V;t|R2i(ODj(DtRg^+?5(XlTHP|1h_kDe9h
z)1K#RUr}T{@}&c&8l_(3GB78&Q+*gNano?@e4~4?m6bm~uc8zD0AD^piv#L$>cHI5
zf@EqFG1!dj=E$Cvcv<+x*pc0Lz&lN!NM+=<@>1|hB3%vh#{-Q6NMJx~NA@^0*8rx<
z#C<w1jX*)_xugayaUML*&=Bm_4}ht9MoT3`6(w-VvTdxR+*pOKMF7w=?JAw^#~=Y<
z@S0z5YC7?Ld?bxdUjr36FWahI8QL|+^e9eo(>bYtA;i5~&tcF>6Iu1b63FR{chh9K
zj6k#3Sv+be=mJ}GNgxgOZ(QR(YfwqE?D<x980iYgh@~)&Q>pT}y+G4A!=$U>B(SrE
z$&35>J)=JL>${D>GaFItAJVcAkjPOmG6ot8gO?*I%s@9q_gD*f=k*GhyKz8ZP!4E<
zQ`P6|vLLg0oFh}t_CS|1)}g>HxS24T`O;~usC_1~p1|ucbmX3Gi8aFd9=npK9To$*
z2zG=9SWkD8eMGMAkEufm2j35Q+m%R?g)~$e!Di7lp?t8$+rcRb)Ut62CL{2&CjFe6
znjZ6G!yHV+spPRyW_L&RIY;jCNNtuGYTg3N;?RA?hBHgNMT(_kizoCbHR*Lwo7km>
zi@Al#dn2hV*t|Jso2uON;G^io7`%$+Z--&!!=WPq&>x8HNA2U#!u;y3kIzhGdRk!^
zD*lyYRBl}bt|ez2yH>zQIj;qsm5*GGOVgT5h13GH(~%+_44q-SFz6^qRB)=fx<Dhg
z`}~iE<=tTVqEwJZTwj4D<C$9B$T?jz9XbdwF}aRfno&@;*ld8p75&E$%*%b4KDZDF
zqm)bW<=rf`XS=JrQO6|sAQ!awr}IE5>MFUUOWNcIYl{%5XBKwKc1Rbs20-(Na0L_X
z4!%7ynKzQ`0bGUy01nj82uFqGgGD*h$VN|A$$B4dLA#`~9raENZQ1_;`jFym=%{!D
zzHa~ySa+V)dXRgpeP&ie1F#!v5=KYHOu=K+Q0j$fCO$=ZtUninw3uT@qP*OtXohAp
z<Xl=V&P}}1O3F_yik7FmxV#_Ya~&$82R-BG>F7PeMHZI4XK=a3B*vIytsOfsPar_n
zaiV}?0ftyqtf1yaAhJ8%{aZv&vw@@7u;h{Oye*b=Kna&YZHi$_P)QIarBT9s`PN$*
zm){A?-KP#Bhy||G+5e{(;ZDwhS|YI&tFd8iChnSEHab&<9B;F#Oxx%|Pjs664+rGW
zG(Asqr~w?^7EBj~ScJ@}=zJcO8xYTvV?j_(-qr1O?g7F2htz>GS@kVpi7LfxCEt=p
zu%GNlr^TQK5me1^D5OOS3O$_88jWa(s`h~7B{B(yUs9WE^6V%Jc~B0LVO^ji^(lv!
zc2BT!_J%47J`7w1n9!3K#~dT2(IGm79A7Q&d{SqlZ)-!iQ6lvYp>;E^AdBE)Bc`Rs
z5M-VkS#)mkQqdI=b7eqQB_)mwb1gH1JGvSlk;mEA%Vta)dhH3mU^s^G+Z0n0{Iq4J
zV*-SBbPHskBDA*6#7w0L>$&+uheu@5qS1oQ!e<fGj~BND<fhpW&@1B;cOEA3@TY2&
z5?4+#Y?hA3t6;}ljh8WB0xK(FZIC*0?~H}nS(>?24}bVn+mYwo4jTMX;Ny+v@%AC|
z2Kf3oAe5mRN9rPUz__(v+&`}2liG-k@=J`6#XL*DzFYpVj0*uk^@Ko!Im7~V2oC~f
z=;V^Aqh)WQfiDRmUo<tlmhvjgg)=i7z8vAHrkM4{<=$0t*!M8{dFc6P(S3g?4<6mj
zoa+?~%l-U3D(ZZso}E!kWY*x1EhR_O(l|eUb}B2}@bY~DC%^gft5<_YPsqK3XEL@v
z7a6B&Zq?gi*{kuoax%F7py#;y&_V+{iK|w_VDrY=Dj~#uva-d2Y<F)kyjfRrUA{aE
z;Z}o!k`5ST1c)coYuBztk~d+m`Q%|4!4!OdOkt;b=^gF`i{uXawh$d!8;%yI8A1dC
zy{o!uq1Ixtf!g>8zXU|kgvI+GtiKk6&1TQ;-8Dfyt%N@O$Fl1=+js2vwK=aiXPeRa
z^LsM-8sngz5UB*jh<{#GbQsu{vo+xoiaO_BeTF?2*>A2cUzA(c-Gndl9MVgcs4<sl
z8Xa}sym>RmgIB2Hcx;3{?p*J}3|ZnPOYc=xH3vj&(2;9Zj|q65wsiAd@vvq^lm3A%
z_jc^usdVYhiqzE9D*%HED9moixLMVGIymm!|JB=-heN&hZFO4D(Q=}c$kRE9L>-4o
z_72LFB~#fY>LL3&)<)_SMM+A?mQu#Pn+#H<1tr4}#!@2N#7To}z4vdr-uLhKdj5D^
z{+R1BzxkQ(@B7*A&*#3sYy>j8M(`B9sE9H*#l6`YprJF%@L0Zlxf6=D7-z>M5BCq|
zw$8aB!8Goes@D9(-(7A&-s`57&s9r2`IBlJu>b;tQ@{Smq-phJo#P>aQ2!f!mu$1;
zrg|&<J=}U9+kohE<|{$Kjg=JN=lx8s_y|MS)ip;_cE^s4W{a0{cnq{TKXU0!R;!na
zm}O-^Arw+`K-H90RHUHnic$6doP&rwjLcu5?vK+i*OOV*-xoZtI|rrlHixC%x+P3z
zA!Of4?wCbg%X>U@CKLUny>}#Mu<<3yCMG6E2dz~4-K(c{T~4@Ah5Gi*?X&A{YTsIm
zB|6(|45cI~cGP;;29?TJdjtvXJqnkW_PLh@Ol$AE+l$;_B>oH#<{uy>bH)n0mzwOY
zdDCJ1z^W#0p>2;~v4P2{1!4uE!}1_|d!l-IcyLy^&-nQCPXW>j3Pu#}9BK`VxGCOq
z>gZL*Z1Qf+qe}%UBbV)-w{&oLDCq>Yso`Sfj$OMN=l8W%L%+!M3cQv3;JFKsYtu_s
z52UOO*TJuploZse;*K3XdOuAkJj;K)XE21g=a<PzWzRnC;*Yxe`j>kG`qz+I1exlz
z{QFUhTvJ??;5F7=(VlejsXHUPq~zF^En5`Yqb_>r9X#j)AS}lD+?#0>8N*=D4_=lI
zuT6to4jEzuT3{Y5yqXu_M%=sio4gIP_3U_db~ap!t*pGfAtpk*Y~KIxvi_NqZ&7?e
zPfu^~oWstYJ4^hymgtYLosz607i+sU0sJ`(3=WQ9K8crCS5%}(1LZCz#L#zEF{<sD
z*$V=(Q4OBTA*%EP=N=yZKBZB+r_rPmxQ|cvHQ<fMDcpsoj#V9lGtAx|_?4J+c&>!v
zE;X^WSRj^bmrV+%R)ftcUw3hC3CFS2QrWFjiOhl`Uw(Imf1<65eyMGnh=_;_z-d+Q
zkNQ=#Dz9$U{@jpHkxjP*1jg^J*gfBd$*tF^^Ta?|2Ukc)sMN7(n_EYb-jyp?aw+44
zMX1tdOQOWp9zs&=@zdGIv^i(g+=Klr76sCq4fcg+AaBmI$BcWZv{4fM>QzBl-7xy3
z?p|WX>i=A<udlzAoSchsTxI5K#IU{^IUSdHWtZE({r1~e@Lbtq*Lvb#zSJiU)=^++
zoq8^q3l*s58z&KNnt_d3yC3zg>J8R$v2nq+7F9YEy;fW`9Wz-Zl{a{JrDwl+XLxzb
z&#v>Ibt03m01zH8d3~ZPsNA}`SUyk0?Bd0XXOLbG<}U*lXOhvys-}4$X^gmfRY~jn
zBWIv2olI)BqN3uh8#nCQQVb0ZsZPh}yXUwVU@LL!A`x5h)vH&$Hr{xzEo#()mUHV8
z`-e3+Lh}2j7ell{9T%}{MnLzSMLJ#*@Q-~)R~1lb-nQUTCiVH&g*RrYvP%SdbS{X5
z$nD*0M&S<Ki;j+lZV|wr)1{WwVU`peTmo+??G+Xis)3yhkJO@~BHx(_yAG~jH&~MB
zpe23i?|+?O>*DNO;`#nBGJ&M9hE`<)4UyZu+qlAiybX1jl{#6co1O|OK^IW>R6YAb
zLm;HX8*0{pXBX89sWf)b40jZ)eG4X*vU95px4XhDFfdT{>`VdnZ)>rmaow|LGTXQB
zht>Oy{t}4{#R=5M`o_jqqzd=5vUcL{XJEP!5fR>M?q;)9jFPrehs|L<L8J0CM8M8+
zpNxpeNOo1Q|C%j|y5MkLM#OA6?H%gUeC|<;aVl-fqVB~Dm+_t|)qsh+*c-y4qFJCq
zxZn{*T)*xgNSY{nbi$ekoN4Ed9S7~~><oLh4)s2E+#HsIYpZ5HM7nc(GmItVPgI&C
zt#5`_b#_DC?!z$+$~0Ps2Yf$H6-sMtG=Sx0RaRR6`s=TvYJNHBlitnA*~RFLRj&>Y
zz9;obbN%O)o~d@5aj-`i^y2f!#$36*)wXqYbtA2rH-n}>=YnY0jbe6<bm7-F_^`dR
z$@zRA_QJDdVAom!f&4^lV%W!hW37c__($Eu*9vGcT-p`nEsAt8Ajk&n*Vgu4Kwy3u
zHo(6;CpP|p5lpoKPn8n8+7)CLD!NV;J|XJ!U0n?IX{!-Vt{OBx!s5`je)ze&f<e_M
z`d1unLi_TrcqW~GghHWIeS%bf_W{1(-h}XK%mIe_z1$<XW}CV>l%>rA0s^eUi7~+^
zh6Y7^x*uLIi6H+Fguy_)_KiM%cNo_R=<!uGiJL6te-iOZVAT=HAA&>w_vVT7_)6HI
zFYOEI1qB69XD?h>>O+IU8DD2_n*T!@7xghNFM~v!_Ag=@L9GVn+t38;;EJyecO@md
zlB|kH@$z7yvi~j*uK}?VQv+O~9o(LlOZ=m&mQhzXFbAeC<4iySff<PnM2lDREg%ik
z!xzd13oYv<P7zbtA(1ltFHO8_Nd$2>{?9TQ;({k0HkAP;I4P+WtYcq*ojcXlt<%!d
zm?%SHlag{c9F9YSfUvM|ywKmVw{Gdj96EI9)}1?9V9eX#Z4uY5vGFn&9Xh3V-vQYa
zneQUp%{LC9-bT{sBEa-fuK!4@td9*IcjSq2B>74nJ?eV8x-XqeoiYA-$k@0YG)m6L
zkUX(b#BR$+o@wZkDrB>>z^5Dryzmx-wRGfwB<6LsPfudwiOez~fp5mhlz@}7pofvu
z3&z|mOrUX^7`N5dX(b+4$S^|vEI_&TAtrccqp)F|^HPe>&%@@08+p*|mY=$L3}Sl~
z+aPTj)Fr%WQ&vI25zuF&5H8_lj(gC$7pY@@6=QzERiA+CC2eEuLy$$<28}|E<Ky2d
zE7b=E2Ats1JCVy&Ez8b+f$Yh$;N*FTqEN=a)z=^Tx1*z+nwk}Qh-|b;c<59pzw2fD
zyk)glpL(&@Fh$)WHa3=*qUAGqm9P$29f7bg&weY)F?A{C5(GW&n%}X#w6z-=8d`>$
z?^`LQwF8phD(Rnp+`=LgIY>5>*_pVVGzz@IHJVe^1{p755s?f`$UdT7{rK_YidWsE
z9j+t|Ad+xSzH=&hGnfIo_w3oT6|eaECGrP}Z9S6<5kvj1GPk2%UWHidMw9zkh5Cku
zqi4@nrgtg|61he(w+aIJBdiCJ2m-$EYnH?5;<Lq7JhgvXAs8(gd;2zA(F@L}hl%bn
zweK;OAKv&0F-S7J)@0lRqgw9OZxG#NRaDGDG*s+odJjYp%PlT0pGo=#TlQsi_QIuW
zF3y~q{0CwE0YWE69$z{X4+A|uWMH7wPG}To(dm06=01oesd)VbX!j3^@94q3MXGB%
zNz2R2GYt$Z_xAQya$-p`PVB`ZzTFnh-xfsFKoT8<fiYk3J!K>%b;Io74XB?v78r&+
z>h7Kgz<L{*1&uAM)<KNee+5iI2SlVOs3WfGdjy%O-*}IkI|Iq_in$fbmn$>J<dF^&
zu5n9ToqaQgkRL3}P0LA3ABg!194-6Nqjv*kwt)j1eFAakLxzUOn^H733Ja%WS<Zk7
z(plz~2;qI%%rf=oVA`<mihHE|jXqR-12T~ouyZyF37vY}^z`Y|k)EoG4I4I~ZkMkA
zldxqY{+C)JCnKXz5Kbj!<>azExFYhF={Vyfvzba@4+*<85!$9NxSq#QbmH&S{Px0A
z2Xie;>(3@7Cvz!X*nhJ~(PhbqDD40pTZjC@>}2HSUmI|6dPmKJ{zo6ssz*ssEa?R1
z!5uaKyrw9^A<nn)9b-stPL2VBikZFrJya4KMMZZ;*4Zx-C&0uw3niH4pKvQ8&d5|Q
z*F>rtqn<?_jRG~5R33t0Irs&kvY*nGVGPK{5pMcpnQ1oLKtN>ECQ`iaYpc9#vQkod
zVRkbgRd7e`;I}_KpywbAzm-T~KXBbhiMuvMw(x8)aqj&+I(j{sg0v*^`tTY&AvbT@
zkt5OQgyaK&HUhFxb=WN~Ha4MwN)1cgAR^*;n@-Ql`a*WP2n$VU_-W<ZuR(MCJJqa0
zpy-Qh%d;7!cr&Etsp)49e{jxyM>DaV30fOoYdzIIO;CbX2@}pgw70N}>)_Un+tVO?
zryBSr9XSF*)bADD3gNZekuoD;FY_u%QKOC=yE)4BtB8`&QXnI-^3CK<OnCZ~)9LgM
zZho$on5gIotI%?!Q}rd3BzUh72L(c>E)ec}LJdMzW_o&;B%J^^+#$K$!Q4T{n`AX?
z0D2F-DZhG=$?l)@bL&K{s8s&Apx~`_UbYa2QWZQ+iX)V^q!|lHHXFYPHa9mLMh)^l
zidk=MfjYOXhb})nwEwV@7Y@b55_xSsYHgi^W>~)RUleom_;PDY%Mo@N2tt_{>ri6m
zF`1U|GD;GA_nL5cH8nL#NR!AcbS2X`9P5m(H>p~^Ia>4Zmdc%`;>K_GXBZ`a1v&e0
z3{1Y%zV2s67ZImA)%XEv{Oedpi**XV6(%{s{@h6}<ypb$l{&L`t^s%RgyOq6fVy@H
z5F0z!hIZ)?dkTc-Qdq;n{A5#%^Nt`jq)CMN63I!7lHZs)>b$0bvfjW?;y(M3sX@n#
z>G}Rbdgo*yA`|K!Sq%-Fm{u5sVX|uJezhL;mDneF<@4xO%E`)-!`DfWdX4e$Ahh8G
zt3707L~0^*5kqJ72{Fa$Q-$VA!Behe3j7V^l^zrn?Aa2QcK7bTE`^7?KpP|rt_XoM
z`x$aq!pD)3#8Dv9a(Z(ZHZ6V;CcE9$u*YF1Y>2M6misv36W|(T;6T28`xcYl*LO14
zqWF34)WIk*BK9R-w+(o|90l)d^;B$w7Q~g;Jj_6u#3|T_mh`{&@x)mh?5!wY`VVwN
zObn6P!P=(6k4=CVQ1YpmEJ9cb^*hhsQitJW{=9kR+UnJ-o57P+0;Fyl=>#F#H7Ug%
zu0<WL4o*M$r>CbA9$|PEAkF@{>2b4EO&Uj&@K*Ll)}IVKJqy5ly_=pcnb8$6DTa2N
zF$Ur&@OCzx>#$l+@_(!rk-j1mf*1iAxBK~*Uv9!*LQJj1wL=l=G)5>{az$G(yvTzr
zha46K<gbkO4L8H=hJer>*}wlh&OdcR!}BnlA^Lh1CBDNHBquT?QrrDg%T}(G!{dY+
zV>?9ei3o_5yL9Q2EFS!L_4mhEdL_V`(p~>d?Tc4(ia}&64dOX#fXedox^-sw5;e88
zR7mQKqMO))RvVs~hAMJb;5GkNi7(rXSH#cK4MaTV|NJMpA#vgVJCXb^zPa`Lk`wCk
Va}Ii1>xsLP^^A1${yKT#e*ibyEHnTB

literal 31389
zcmeFa2UL@3w>Atm#>&iVK?THuA|Rk5ARxtY9F0;Oq)1m$P+FAULM)@sSU`h-bS!|>
zNK2$8SP`j82@sl6LJI)`iAf;&_8pwF=KKG3zH`p^zh|v?t^dq&1{IR$$^G2--q&^Q
zYw!8<gxQgm%Qh~PkdRo3Ir@u*gv8<?35kVge^>&4Lyvhp0biD!J$~dD_zM5<4wd2I
z%hF3nZG9yq<Zq#WB_jtW&r3*bmcaaS&@w1-tSi*d@qCg|Zv*CY(Z%B$MQ2|f`$=`{
zA3yjRFDY4fLayxLvYBfO`&QnVTr#S2G~?<1ZP%Z>Sota2EnbtavTebWZM%Ng^WXI_
zp~>#%GK(d*?3Ejr7hNRy*0ZG7<rkL})tP-xGHkHRDfZ=*^>E9~8wO1c+k*qsoQSlA
z=njpC_pJz!M8A{pRFKp_UyU(KgT#Mx>{#V;^cN>A7C51=R|x-@Sb%=>@Zl91^fmR_
zqH^?AV*B>q#pvr!<^S+4+&7Lb7%Fowj^}VVuhg$!+o!F)12Zxc;$Gab*=FJOr;i_R
zi9WU+W0BorL8M8QY+WA&e_Xk;L8RWDSXp12C^7i^<1CBJbKfSuTz6cud(jU;x30ij
z9T1Ea!k-skxNzY^UfFp3TdJx)*)gDfdtF@}hR~92lkxPa%YD^rS7~i+k0$%7lrS9~
z9kolxir(Md5OwCw&Fz@v;K4Y{?3ROhKP+)NdGh4@d$O^L?JqAs)jjhEyy=e<3vRsl
zWq!&2Ti55Gu*CoQx6oP{AbB{GHfmcD;y+Fm2|F)W$@7?4e8S8qjgfkN)yE9OnarQx
zpMr1al?=vr2GG4=mE89Fk2EJ<dc9PaKlHSzt*s4PCEgZ(=RYhe59|(hGi1j#cut1o
zTB|-23C7Db7%6z6>ztZBX;)2*TFpwG&if7FoWc!;VL@NMztZi)u1}5dWVS`@-^xf1
z^&YHCh;1))lWFCa`j74n<%~7E7bp6BROU@a;uA;n%G7)Kt>gllQ|Q1|sZAd`OMI6b
ztwS3yRq4=<UW0GF*V%uXhi$Er^EGjr{VL<u|KY)n8Qk0qEyFH%@WZyq+To0p<e#?v
z`V2PG=VzFbZ(r}g=XiAZ&bsphAER$<5^wv)s4c4}II$rW$sWWCZOmSe)*LlXq@3<v
zr6fNK!nrT6Z`_cd|3O(vtcEqwDe0c9&JN5D^W@I+32#>E@51;9m}HrNUFgP)v5U$p
zf<`hk2#Twf%uHNdTw=WfdT?CD>g&>mr`qz-&q!2Ugu@Zw=RwOeonmYzsj8`|VF)A=
z3ASbZZn8#|FwGp#Z{pQq!<z;ueUV0njHEy(4Y!}$_i1UJr#S}7kL^8u!crx=p1H^6
z{fe{OU%0H-_I#v!HK{e-_jOyoi&XwU+V<?z(Mec+^N)}U!?x`bhkn08mSHlP7{Zq~
zw*u*|O(#g!+5X{Ou`Z&|z6}PkaBu=kuyg#Gix<}SCggjlo^%#Hy(;gkls~-2d6=}8
zo_pqJm2Ev%rvhhI(sr~Mt!-7nb6yws>J2GG|AaM*cd|BdYY`pCy)nNte5dZwYQAmX
zGfO)&wVX2k&FrX=z8f=DDRHa$HfiTwKYt^f)f+waAY^pqyXkkXwM*x6Cet#D%KeRR
z<+Qjj)Z4V%Z)s5Ir{?Kd`{~zqrH+}_*-7+-CAm0Vjz)1&kzc5c{qf^9m7+mn-=EDX
zb0d`zOAlY@P`ViGc6rY0rTPp>q>^W}e)CNFoW;e?>_-$m;loF(cRoEsH2pQv0`7mt
zMu|yP%`sZPbLI>_`q-OI@1|QOQ+2OeWbIRU!2g51V(8I$@8a8AdztT+<Ck#0^>y{!
z%ZJFJ*dSG!(0!GTmW(=EL-i{o78e)$R`gu`Z0Wojzt41oRd!2`@<hmnlU`gSi(?nN
zO8qb5Nsl}pXHr@djg|fV{LXnj_Wk)5T*|I2z)Mf%ox}1sBclb!w-~&tbjM;f{LI=m
zu3Wh?hAy$}%NCD{N4wAbOz5vxO6eT)rkff}zFmzWRB*e?Ubu*(cE~ok!<U!)K6iE|
zDh5w~I#T9Y7&Q4+v3k^rTlzXe9H)ow!DENGs_9yLl;D7yX|W&cd2!}YxR9NqgmDt_
zX@A?b81IsSn8dKD>XP1T%S$^&tz?Q8yma}xT_0w7?55V%7)9G+cdNnLxTuJT2$KYD
zwWuAYD$}RXhQ5-#B938PL?R6)vBKOKv|>9oj1RXfkkKDyJ{~sL>Dy5E;K-(u_I&t8
zi@TP*yu2gFAYiP`A?VAEI88UR!G@F+9-DzB;Xgi9)@7Bmm;LRSn|@|quhqs?I1#Zn
zJyLR)jMb^LQx3j$TDC<OeoGGL51S<EX(=TKolQ4SNq+zSeYoy?h|rJbb9N+;?Y6VG
zXO9&&tQvY`IwRPd&hM6#Uw!*TZutR^jl^9!)IBYc8JU!qFNCL4b3A6lI#l1~h`KGQ
zsxDay%Fi^`AC-@`ar5dUFB`?0%+&5{!8@PA?>^D09j+!HeSP_`$Ei7;_Oua=HOeUw
zA0OM&zYR#r7ea0;8!sKb60vlJY3qMFWB%vE`G05L{-3+}r^29rjpdvNV{kT168B#|
zE#;*U+i`NCzT%q4L!)WJ=@-rPWuvQ>)IQqdVzI%gw)g~AHi6%C!*B7ztjtX1)k<r0
zl$w*>k990ZKLqLJ<VE!hW^Ma-%(yKZUbdw9#hEvIFVn8hm6Td%uN(@hY~0=}zrelN
zE;)3(1RaLbEpMd!e%bkJu651L1;p4dEm=l4QXj&pJUO~^(C)%>QvB+jX|EZ-+topo
zEGCiCTb&vc8_$@fCT6v`Yp<GUXu<4tZ+<SRuzG#SqVhw=6;2H|SIRE&t4-(s+Vk?a
zV~3qJ-puYc$3QertEhP7@hZ{S7J`iL0tD+^zK2<_!9~Y1hjh<)?Ay2RhoGxJf7`SM
z1+M=aWc#o4NF_dcej;)(M?7jy$L{Ihr>&Lt_%T6ocxdQog|$Ne?VHJ6T-ms;^i=_C
z;iFDRUy(_b&JzV3iP?3^pzVC6w&0d(f*9Bzy0U#ES`CT+0~5HFBPn4l*_zv>_GTk@
z)7ajdiSOUvv{Y&6iM7bJK8YawlgDl@E+;o0SqYb`<e*hDmNX3RXzRo?)B&=47MctF
ze&Oh!eUU98L5ls4ulRq@J^nSG(7)(i#4jnk@+8-(LXYO)YwBIbBpqPaYR2jLyPNI*
z^1B>v`qM>E&(1+%2c517NI2JB-*>Qfmf0g@x)RkKUhei~)H5ev-qE1!Cx#8El1sGF
zzB$d%ezu_dI|T@bv(NBA44~kAjnA8vI{k$ybDlS)6)1Ic*4Zt&?&JnTf#;-Mg%fM$
zTSx_^PD_kuR>WNi1jrO;5E=k)V5U3pur^*x_028mhSlZ=9^6qc-6?%w!g#PgDFFxr
z_9XSq&6PDXH0K_sFk01SaE^t?t3)4Lr8ku7O;7S~wbdPd7Dc+~iS7=e6RjX3RmcZ`
zEf?JXKzDAsN%QR6KLA3T#P3s<aSpq@QC7C_!lx%W4kZPRmt}UHx~~}AC)@LAaB$F@
zuC;GP99euo+77PxvpL_1$msAOniAA$HS)SX=NMgu%VpGe`E`2amF&QDCW*PiikDk{
zn#hAymeuh#A($i|D5=rDB_D8#(9fY`H9R{9YGU00ZpQ(}OE-zLI7LM_Dq-((H0PC|
z`K0-F%nq}}M-Z^p>0=bZIEEml5ccB5Wg@@|#cJh@M8dJO&n|RXZ22D1q=M*yNI(_U
z02V9|2?dOAeUS~>&T}J9k@Fbv<NY6kXnBqa{S8~ZZS3sq2#Q`_UVy5*mb|j}fP3H(
zMSP-S^>0VyTRa3(n}Sk(LxCLGmiV0au9#_+yHqKO5MhV|RR<G3H|osza!X;{rw5{Y
z+{LDJuR}99+6npO9EHX$kAI9lmc|xI9ezR4KHt*W>Cjeu+AK9^<Hn7(OYb8h|E_MS
zd|ma;pG&VvT1_WP?7n~Vmr8nfcXB@uYf@TxG1Wf1g)cYJ4eS#`xV}nnXW3Z6aWeDQ
z2)Q_E{I@r8+Fo{utshGxAle$CKmLJ6;S}$3EZye}<WCdW<EE;zFE?d<MsvvlB`i~H
z$jJyp{t(kBj`^vZ5U((({P^b0n|C*AWxWvc`J#WU-?i=6yF171o|Eq#?MgIWy4FDH
zhalzbpBca3+h!p%Ve#|5d-rbCFSURAJ+EmgF6d5AXPEch@DD13sHac9^KDRY#EAbJ
z;T*tX1JdY7eaCN4e;s(_5>efpdD55D?&kLC$>HGH$tul@pPw1h#1CZb0DNqHK);IB
z!0o!d5?0D4i?n<|i%4O;4DEk#WU9?2GOeUUml!^iO)g8Rj#6^#D7sj}uGjYkCONZy
zA~|FvQ}^p1+e$mhaON28ZYf>kdZZ(V{Bggo82aPHUAx?vnZ-^T3Bsu#K0brA_@d<L
z<5EbA%2wG{z6<(!Dbcs%S8vSD9Tu`w&Qw|DS~uxc8rdjS4}E$n6=rgJXv04wS-&q`
zO;9v9<eejrjvD?O_h{(r3hKLuA#Bieoz~qI&Z}`w)@PM#nj6jeMKV_zOgDOS*YXbW
zTivtByfeubS+voMUS4WBMtJMPws0eB1Jr<vWj|s39#Y|S%6a$w+li}hw$K-qKZNB}
zMf@j*BYAtTq7b{+yYprJt%nAnJUEhU%Y!Zx`u&Najw$c6tg}nt850x{;!oipBdk@m
zRty%(iO&z|9qe`0=wq(6j~*zN@JF)AZB(Fcv$G5%b3(arhRA9<C7SCIB>{se@87Ob
zJzmD@&Y*0<&ra6&2E*bqPdcMFs;qZAx~Lp8^&fJe+!}vx?B94(h&)5dh=(DZYt6B(
zAUPJgnySMlJ}}*QD8WD?ueez2&N{V^Rfe2=#p+j53W)}sHka)B)##GFiw~V$+1<~R
z%60trNKxqlAnj>(x#>@zKCRjVSBOeG9=oHxG;I^;YIzl$4u?=?aTlpQum^_@gOfn4
z)_gk-Qi&;H;i~<cW1Yi;k-oFbu4pHEWa(x}@eo}1G-a5x*b6@i*+wGGYIe<mqN1Yd
zj_}TxmwB)N(MT<s{QAx||LkD^ZD=Ex^IM4Z`Bj?|<~Vc>IP>QI;s~yvv1RSVj%wIB
zQ&*+KHY<Fqlp^sTA^oCC0Ut(W!c+NF(#mR$-*?f%%#hcQ$R^!S{N#+WH)}V}YmEA`
z|Dm?{FPd5Z>mup@e2{-NvNg|?P@0g_^*LRY6LB<I_IqY)98G)tidDTc10*z=?}3bZ
zYp>D?Ym`R3&4$(|=V&}rU4P>Gq_39oZ-}a-Sycb=)3zl6jT~2_+LOmX+_~YT5&kG6
zCq5zJPT9KJr4JwKN+#P3B{sJ1>P>riJ9#zf*9s?v#>p#>k5}q10=SZ6Tj*+B<(WmS
zdn76U)9v4KtqTW-GnS7MAqKploZg&kPgXaV@e_wt2x>W6O2(~uj`nSdyK^Y&WotgK
zUXcUQHuqCw<9)}#E`Q^yMK^blH=uy?H+6s4C-|fB7VA!ZJrR4<Wl7oHEg2S>&oVRj
zAbtL1uC*B4Pv?aWP6Vz1bWcBm3I^~3q4Obi!L+6r-P7bWF_p_7#{4S+`%3H3Z(nXT
zfl>y5ZkKJrxfeBOlzKI3n)9K?KG%tuQBh$40_mJy{nS8>{-Fv0Xx!0L`h~ATQpo2!
zukvf7t(s1Yt05Bj;TtDdH@x^&rz;wSxI5d#3eV|m)408dH&<PmiW`mlch-Q^@kZLH
zlXod+`|%jhd=WsX;Z70A)QXr*fJ$rQG?k#bVGa<@r}wJVptESkxiDmAL@fgU^-m=v
z^UZO4sO)0&-@*nNVFCzeWUV}Bs-caezg0JfL_QCaoB8qM$2nbrJ&8C@dr4n}e#il8
z-iR~AZY12nON~Hm4sOYIYH<;W@j8g`96+;xid2Z9U86qL+hhAn7|E)BW0XX!b2mfF
zqqSd#`t5MN0k?B@##!W#fN4xj3@B=b!99ZR*u~4&`IS9;&ACgbyLq2fwa)nf8L(O|
zpzX{CEqBZJkqRj~<zH6v_%v!Vyw`M)r?XMn^>_2Z-m}<LA)<vY1noUVG|LEPC-jut
zCcx^Pt0rtO8G3TZ2b6E`pX`L^MW7rO+j$kzKof}V>$&u1Ww3zWlMFx*%i+TlD-7dJ
zg#lv!aCd{|)Ki7Io$xUYTAj07rYcxC4Y$P0?_IsLy*t~y1i|dVfm+Rm&YU?WxhI*9
zr5dEn_A9aJJ;H#(ONAOP+?g;k1Ly7GfdF-B4j^h)1FTz0je6NGgy6kPhtuIAu6F|H
zdfwQS5*hw}(JY&NLnG`=A&o|KPD$`CRo3b9J83AKjATd|eLIM_jJjaw*FydEov#o(
zFs6PR52ThIHYQ~vBnxm6bL7a8EqzeOIv)p;{<<>^XMTG_c+7B92KFZvVcKzx3cov7
zv@ql<93b$Xt({%X9mO8LjR&O$APtXR?#z`h8)B<{MxV$fLf5r&Qv`>?t-#*7#MLM!
zlNrD$>RN1^yFBm<=h~Ue1A&|43cj?bH|sm;ww+(03py`gT?`>4H`zURRNt~KoGD+H
z@#XM!$HfvWyhPLHqK9x>=eo;-gWt$@--q8nv&(gDFF3C|(|pobG{<!V#sDzL-UoK-
z4h*WrWB^O*4rMXRoBZMD+OgER5V=thfvW}GT#8~ftnE}ZF>Je1;-#ORrk}{9<>&7K
zs#FUCcY=s35;`O9fpChAGtR$T$RP*P8HZ&YA3oT2WH6y;*0p<fP{(boEkDyzrHe%U
zUf03mM(u;?^zImRgK(aY$Ew$bcC(WaMS!y%+z{Fw<t&_vHAptcik~wVXNI6`KkN}~
zx@khppR1Kzfu~>yP@Bs0t-Y~aW)Kc(b)8O6;%c+~kJ)XMyYwWwcbS@v!{x&anv7G>
znR=klCXaS+f&Gd0zR~O(qyEy-yyJv&K^LoDw&&aXv4R@)E>4L-O4qBc5Gwfn(jtSc
zGWBwM+Rl$Hx(SuJL-nfZ_v)#$NEx~EI2VvVupNb|uQJq^?BewFbh)73tKwo1kMB=&
zBp*K7+Su4Q5D+LFP7x|&_J+@XI{=k1`(4|11E-Y>n|M{i8%*&1j8Pg$Pw@V@SjM5z
zr7}U0Dw<=l3t}sBXp_#D8VtDoR~D`snk|K^-IDV;3UYNG()5qV?5e(})BVV3ZrD6{
z__%Xvmy3))h0ZtB(a~Y>M~N(-9$*Q+LyvE{zPh$J7<OX{;KPB>$2Gck^>%e%4xNe=
zeTz(@)12`*z<c?&J;b1Qs#8rV!hLSZ!LF1!CN?8CSIx#L_<X&gV9Z-ER^t|!YWoBM
z$SdKOC*R3n*WLGWCwB$Z0MATT<aM#aX&IM6jbNjLjG2OS_L#19Hj1&3YK|K@iAi?O
zAZ19UB!SpSUo%c&7_i!R!SMi5atdk@8SGIwj+s@Ikd0;3dh$-lz`PGf3<-)A-I<*>
zqcmbeF1b5iQFrRYHl5{xI#!vMQv(|K5=|4~pboX&g}QL2UG17!h`JK~iJo*%O5X1T
z!Lud4$RKzuze<l5YcQHqh}21d%zi?hux}G96buhQE&8IjcRga%!DCrg*`>_P;a=On
zyZ~G;Y$#p3<uZRbgZom{dtG|G6DWRJs3*OtZ4TD@E0la{(_)?C$>jrT?V+rSrq7>0
z>pJ=R`gYHa2Py>{Uh(qqP(4?hcL2yy5?z7ccq_zHAMT-EA_&5!K_2G7iIlFbr@pW0
z9(W9!xRL88XDyst+<TIBUR?ap3Zxr~>A8lajETwZ8o|}tE%~tJIWMVDx;U9(R<}_4
zz<nc#Uj`)R#WA5?Pwq@yLs&XHuQ&G-ycCkCVI)0TDJ87HSFn~CbePDL2H~Z?I7r8{
z?LIJI|90<G!?MGdq{K#pxhEM?gteK}pGh*CLduFsgJEQj!SKbgS1Z<1;gEQrd|CFi
zy<;X^YNXJ9(R@ZuBf%;2_l61;)vUs)XGBCA%xlP<nRp}3eMz;>9)O^1P8fq=K{u#B
zorKM`9(Aw}eEY{wC0}o=PBk8qJ`YL~NF13h?n!;9R0KapdbI!YSq2Bnux%a!Q(CRp
z#f!tS@k`?8pRT-}xkuWL>i+5|eKMmVrKe}WZ!{}AZ{)Iwu>H6m+4<BP|Ild~kHaw}
z+7+vew&orugoy+_4IA7NA1I$pKQ}$}>EeY8ZDV<~cXwoDw7t!>9Y20WIVIA|-rin6
z)@^_9m4zg}cei|3<9@M1bQ8t00B<5FPE{m8kRJf*5fo#cLN2aTcW5IP`@2E7En!gv
zrJb}-pB`}G{3bbbIX@DU*924OQ-;{mR@QQl#()8+6`!Phd#ABZ+Z#JqKJjBo0+yl+
zWxF8~Q^|1h&-wv16r-4%e2;ubDz`Mxy#BqO*?=4O4Ten^>M7zi;3>X>=T9R(>M|0e
zkT%u#{$3K%2Jk0HSb?3Fj~H@G8fG^B>>UX^V>g@8&;V6qn(pA|wBx>jtQcU$I7To@
zF*G=tZZh1o|8NqERNkNw^68EqxnY0b-CZCY%4&NaB{YxD9DtO;s}H0^;kaF7niSP*
zl!`T1FCBVP&vc12(2jNR!9b0@%a#UMDY3~+Uk&{Y;auB`Gf1{0hnCCV`~Jx4pa1sM
zr&3Z%5rc#X*Vn%<g=_!^&kT+Vpq)Zn0X&)h+p2j(v-}!op$~#Zch~RP3fT^RnVOnz
zFbWStqD3NJ$U_y><+;2>-+Bx@u<n_>!1M4-lUyi+TEyz4!0xzy-mMJBaNYoJQ}%Oq
zR}8lVA}2a~ppqEOSVriLJO|3K7v30ROdM>rZjq1+W|VD=L|?PW87%sg5&OUXQO-_c
zjm`316a=RL8}-=I9x9)lx~?#r>MI(EbxwxN<>@cd*PA~E`p*EZcum@chK51})E6~}
zp9CoLt2c!=cvrzFeDg>8YxKZ0@VuI?@t*Usjy~WH7)aB=UEI>Q7DCCCVMCHWS@RL|
zBhZkkvYt8hD)~T%$9<f^kE+D6FbRi1&^>)ytZW8~n#}0wlt90E2T;IKgmi@8s*DC<
zL8`+A%vg|7W<qMGhnv`-FES7!G&7o;Mx|Fk4jVuQ1sRh-<t0$78Ac-BE~oPSNLGD3
zW33V$Hs+#G1Mo4buwGBKj714W7yYp1RzHZ!JrH>#`zsep@A9kNS|4cN%>Zl(^<slK
zBYb!S=p$%RA)e}vJb$`3aJ=&XNKpvB7F!i#8>m?E{UgYVP#TYsk^-{fb2e^2=qhXk
zFOYzRo~0Ley?)j)C?QJ+{4{Oq;o*@C@ED3ync>dwEqnA+U4H&4D>~NAv@iO`47c4j
z_FVNfkuvfKh%OD->V8{ERDMQ0Pqj^6?iPTLT`>0CX^$6cwnjtv_=V7LCS9XnsIRaK
z{dmgkux>l+58Sfh(Q(<>{^fYVy`TBlu1?3hI7PP`35TvkwEr6udxr0XBcR)V{}ADT
z=u$q&e9}IL$2{jD;@`|z?i>F&s10$|D%%?BTLzc{Zg;5k+ZT{9B_s~nQ5Tobgctzg
zHlG?c$LoRYPCwhToC4sgAE4oJ0xGdzbl-TtR!sU*r}^7WLH@1#Qz`ioz#C3S08)TE
z8HTZnfKpHH_39`R?p%uA`t*n4SgoL*$%sI|n`Kp-LOqfAoALPZ=wqm}cb8P0esxW_
zQwseg{~gk@0K>yC^eF;#$9`WX9mE1i;Q*WyLwFjYr=rsn=8Fyq_`m|%!&7ja;m&pQ
zE;G-H*9*G=UFZ0Qj(3)Hb(aXPeR_H%&>PMVRijia4_(=kJ#mE_WA8oO*^L*?>61a@
zi)HHIo_9o<8`}EmqPvhdWc@{wbx7Kvxx@hSu$Nu{#IVISVk_5fzqOktB4l;)e9P=|
zg~6%bG42;UJVrZ{_ntrYX+Zqy6}C5|%5N!z2QfIUyGmXR%TtfYUH;|o-_&%gAL|sh
z5W_(x$A+^LlIX0UD*fB);x#z^LFGWN0k1y_)fE)0K@|Q3@qCbXwe-}JFJ$VR7b;vR
zqJRUd=k)hGh9EZeMnSk6GX<>V+(>gK54b@BWaoNqDxf9ygUGORh1)lT10?ijA8Hrh
zY=Eoj+^1pt?x~nCpiH$uGG66CTEcS!@#J<P)xjeWa)&M)6~R++nG@E}c|o_LE>wEN
zxKIJA25cyqP;0c|Q`O2)CT^f)I%kFKjS@IZP#MDK_^;Gm614X1JJ<aDH(>bF+2PBB
zqWV#A$t$1w7{<`=seT%17=L6_up*ROHNq$F6at1wPfJTPx`oyx)i}4otF|;F1?);8
zfUNdjp2~ywS@B2s${^=PptGP@s)AxkGhTsy+}P-pA2W$J(%!QHeqJkN_IViVF>zJE
zhTWT&;XlmRCl?<2e>xRa!d7-`HXP7warZBa6x9a?%=$Z^&ma-72%aZ`=@2-{f}r_$
zTG^@$PidlZVbiBipO`|>$&V=D_GMe=j)Zwp=Qzh9aePV>zkJ0-csV4#D(hl<sDucG
zERmrI{*z2AAJi(D`l#B}Y#H=@-?gS1oby76H4;DDCkI+G?~6445khZZxw~$)3caE6
z@CrKs;gBAjc^_>Eid0D0Q>ZSsyGE>??u<UTGAQbt_*_r`#4I8Hh+cMuuwnX2V3U6!
z7Fg%OoJHvGQXQ5U^uiftc9NEe@l|E3?EDWw9Y+-MqpBE7tAXFBKf`G5qHBF(9K_LW
zK#1dDyNh)K*d4qc5W>|XLs_9c34rGu{9CLRI_%MpO7BkaOt8x(S$QF&Bs#ymUMZtC
z9zUIqF21|XI@c~5PT4+SJ8fe#aANjL8_ixqva({eXtqIg4rKJM98(~)XysKjt~0HI
zD)r%16p_hT_GNUc;Fj7MlQ!U_LnSj<IeT<1v5g1lAgb9wl<>AmfwEdHc>Y2?eSsG+
zAf69gX+<RzV-YN@?)b~Tg0t^#iwjiKpO3RUXcTSukO2FT%`s+|Eg?IvRAuGL>%v=8
zW6vNUk*y9LI%Eiu60Wa{qx=ZsKLw@!ggNVTz)@{Up0?gEzuXMt6sFWoe0f7I>4AU-
zepQczt9b~rT@kWx8O?41R%r?wWu2PcLj-llJ>1<tzWsBxFKm{9mwgekZ&ljcA>7m_
z=n!eUi-6bmRYf*9g)*aUDn_g}XnUSYsd6NHJGwR`C&30hX{Niq(6#O(T#)^CwR!)O
zJL(@1`Y!QhxN^qY=?3p@-IAiC%=9ka$`;?m*Di>F7{a#513rb9WC9dnpCU}~$<aG{
zlt?v%qX;MR97@jhG$qschp1GWkrZHu?iVVhuCUznygekws=lkw=il(&CIdZ8f#2}w
zW_PWc-7gMp{71@1_~ie)8?u01PltptJ}uVz8_Q7X4MRYsR|sC0HieGmgQJ$T4@zX<
zB}DKMLx5Zm*gp8;&8p*sPJj^lI7hUDrlGQPnKxoXjaTHo*P%Q>doxPOygtq?IZk1=
zS4zAw59a-N^JwM2R|&mTR#h_jUX~3e(E}NYKF1K$VjOqoTg0e4b}$#VF3D0ySK?Q}
z<NAW22oyNX2?qdb#OYw2%=DQ>W5qP5c34MWP|T!#qQ`1Up({bHs36l%7iw^N@FFim
zS7t{sMkp5(00C_~<}>);U@Lg_c0~QVB~p;+I<fwM6@yD=TJ6g^x#>C;%IHXxn=(GT
zG5ah+-A~{8eJkv3*ROB?yfI_*_R!WdyFp7zf8lXvtgUMKu+)-{<>nOi0;8Qz^IfXe
z1*oBK-VZ;Wx>8m<rxDyMV2_oQkEHOjsr>BDFm|0S7ztz4>|^xDUv4uJv^V&$>vWLp
zQn%%n9KqhZWIH78vD2|1%`TKtm*bco&M2{L^}rCA%kDWpcLA*f>P7qZ=eD@h*GxnJ
z)KU;m+|mRPa937G9fB2N$nt@m4~Xzu+fu)ah-aW}IcIGH<$F%WaAc}Htn`(-dmA)&
zpzOKIXm%oO`l&+QNppi}$a_p4B+O{|gO;jI-t=beC7t(Q*7e>f+wOFVMN(~XFZK<!
z*C;}T<jD>M=WF*=p&Y0SLMW=o9}s@)i-U3zwOQ-(*SBLJOgfI!K?Knmb=zz?oBn_R
z6-Fefzxo+0KgF-}76+!BupV3#l&mXxJ7qN~z~ta*o++p^NN)g47>URSV(wFf*m4ko
z&ngvmNwPpb419z=TNNRnpa`|vanUb+U@pKUOFNR?f^UvP@m{wn-LwXg0O0A^!Ykwt
zr9iCA#ST!d1|V0Ym~JK0nc~SRn}?v#*TjR(3B>r<2>F3dx=uSV$DW*ro+DU9f2Q8r
zICNU#c7b<S>Fc~3ZYekt`VNHa72g_KfIPIr=acd?;aA-OVXU4B3ZeAb?PED4{a##q
zjg$2`dE8#$Z;I6becG9NB=ZB4zYxx`D!A%lv$53K0aPbuPdAyfPRyTF>Nu=gJu^A^
z&7!&UM`zV4L3-0uxWpNH8X3^;3WYrkfmSi@e<P9#!L(j4;8`g;J8j{pQVFk20DX7f
zgi73>0%ptE=?tSfpaD^eC~BdKakgc^*+W}<b1hXsyZn{VKax%CJ}Ux?))YHMbO192
z9G=pcuYhW-_mLI4>&yr$Or~N%kA0+p8$PZJPo@y~{(0bdz~JB)vPGc0<v-dwaR1P%
zYG6i&Z36{S8~-7RC6v$PVojm4a&7VQy?EhlQE~Bh3`$D6zJt$zZ^5IYd*17m>GY{l
z(*;20`)aX_XFj$rUaJI@I3x~uab6U)wu;q71wmUCK@rRqm(cF`c@*8)=?Ub5v899s
zt5-~au1(a{1X5cKf|6K*hl(d+eFXr2QDoV6BtmY?ryb+P-B?b~s;IzaZ~C?Q^XCG`
zxk!0^Z6pvP-5tEGZo*k!0y70Na6MGa)gy6VGV>i<Y=|^pKtO|{!a&xUfasZuN^0ni
zK%eU;et2}{*zMF`c0SvDZR?KT?;IvvyYx2MQaS&2j8DhL4^i%(na38NmF6t?<JX_H
zTHdbr*}N=m$%^%V{PcFsfN_??L!aeKF^MKSGz%LPbTw=5$5q#!YcOf8Wv~wfCnr^K
z!f9CI93?b&E~&Vu7?kq>8m{@bBj*8ruO*6e0_CJiv=3Mj#3uR_5E=t`JhUO69KI8h
zx;Mx)a&h^9k1hbGk2XLxI)fQWNtD+CB@W{pJtgzxL`W1!9fsPKsZ;QP*kl7CxB)y7
z^zskw$#-FC5FbD#>|zhvpbeF8<?i932}-7%Z|xq$^Vz8Mo@SA0BYq?jLl3S5g6M)Q
zAneYfii?m!kWmP7XxA_U>6Y-+Jpy^(Ci^sj`ol9T{Og5B-!XdCVrvleO?cCVq#AH!
zWM+kUS)tZ~sZ4WR7O%ENHSgut9#GfVAUBdf&ohE)`?b<RNQrfYy@Mg3L@jOj?X-{~
znoY?~-|}+e^>X$*jqp8CrV&L0Jsx;3i>>{1L?H<jWy|lpB|Q79B(~<yr^vXoiV<rt
zJMqRB98u3mByGgRNuKQ%!#?P|N$_)TOO<Ea5WOjLByvS=T~$%}eY>V|61XO8UtT(s
zHV+er$SRvAKsPO{Bg4jP4=b}&(dzNuAm%na4g@k)$9cF(wVJ#V2$0r;Ej+YJ_Zcq$
z<PJ77<`oOIA^iQ4VB&VCRJc?{4AQZ90X+dr1#nvjP_0L3x5sL&hM3)?_GAS;;e%*X
z$m4(oCjpxR4y!sc3jow09l<{~6MO{ue_yx^v!sr&P>|v3$QmzuuMN`CQA2o5ESo`I
zi)W?46a2T&wZy9Q6)bTYkMsJ*a^LP?#&!%cbA|DnQtF{}krW>vKPX5jXL@04pblU;
z{}G<w?=fP$+!fS|<(J+y$jZ`QxpU!>cMH2Ad8R`@McsKkTL&M7dNdFd2#1Q1b`KuO
z1xOCc%Fh12T5I?Ei0070{L&SvH{dy7_WBJqYO}!GPy)!(7ro-0jI)WOqvI;WZ@mEu
z((u44DUU5xX8e~rTEC5doE@Ur+ZC0Sl?Ad4MZ<a}eBW5-Va<TzO6Buz&at1B2UZ9~
zT8Bi|@Khkr)PF!QcIeiU7GiCqd<t`PFXy?##-#Y4vf&Pf)~-#t90Iisw8J-re>;QU
zE~W@W2Vp<TZrliQjoknHYO@aqrQ{zXkVb{#fJ%j!AzhIqewAcJ+c?ER*NY;?3G^yd
zR$RTq<OAqTVvN_^Y#9;_SBG{s3s|abB1O-h<XJt^lI{EDhKzQPC@N)E5qUQXdcp<g
z;fNxP0g8=kMF@J)70IWtr3sccHsY!hnKF~>*;T3~;$THFP;Sf%<^dIo0lcaV7_f!`
zx*_rx8vG_^md4c9ZIamI5HxF1F$YmcD!6h$prxIIBaI={CFn4a9Zf7MLW5H1It{1J
zrtjxb)?m{FY5Jy4xj3CWg$$=5NXHvGViZ3zGNM?`pBY6&f$KWY%Wkx0OJbueG9SWi
zsiT4%^dhAUti%Q#a(*aY&=VJM|CsRZp%{>R!b4G!PQ1GiwWsV9%Lb{9A!@x|o}RUc
z*oF0PQ$W@Hy)N(X&cZd_orJHX!(X(B<{wU5YO>R-CUc`CWS4=`NPBs(Z}xd~$Px4B
zLh(Xe11p{9<KbyX7IZ_S6mkPLXwe*^Q28@Ah6%k{s2@T&6e-*Z4{hkr7V(X&_yHb$
zgOO-<7d$Gmz-a10WIt4uY9^}`QnIoP<M`sjbZI}~xOz2JI7%gz5-nB4nG<;hkE@p`
zvT&?Wi0S<2KQAeT4K6}KY><vRobpOXvJ!!Qp*F2F8?-Ma46-N`Lw!)&n8J*da6M!d
zqQD+=<xdYITOb@9K`MHmlw+Y2ucS~}2+6^*kVbbyr^%1wD2txB;0)^hN%dIxg?g^g
zhXq%nJE0$FS3P16hI#j|W_@*=FogYKh7l_U&KGqDE@WDML`V=Fy3CB^kLd6taRHqM
z1?vySR+E}RH_Fg$u2_Tmq6p^ztbu2Btj~S@9}dhF=sT&Y^In`rQ}k#F{RXUH^X!Xq
zsbtHrRpJ)MA(p$ldx2+r0cwiD5P)oPE+1ZDIj?@UU5CUqU@q)8Cny3Qt79`)ZP=>_
zl{}rjIQ}$cSEQuLybO`_0^G1&;|W?G*2vo=)l#XxV~Lo38+=3cZl97w_{Hb*J=<Pv
zVTE(ce9_Upwp{%vWXjQhZ1{ecFQn8oQmq{wlTcS&4{#Z=IEr=#K+g7CEqm_IH+-bZ
zf{8X6>I+I3!`Uy=859a7QuXZSc@vSbP6aABLStVnw5Ms`s%V_|c1tt@RuZ$2M8%TX
zsTz9ukFwK>^K!`84Zx7Ps06Ex?M?&)mP@QTbLA(oELZ8|u6KtE;`vdCdI~mgjQ2hl
zLj#E`xE4SG1pv+s499`7n!sndaXVGZZC=e=^H<O4_YWtr_^+PPo%0tpKKQ+TW!YbC
zrzgI*onHHHhx&iNh1U0Lr>@_a)$@S)MwmvdX?tpsB`94qq&5F)y)*}Y(!*?g2C+uM
z?#GGGYE(Y&Mdy@^64!sjoQ0K@GR6Y!MegN2bB!<mq(;?XheuUltK3e@%2I*;J!j`w
z$)bam$H`-zwjWnVHc$I+Xgt5#V-zj{LGQJ4^fCB_b6nE6M8;NpCU^dS_&ooFCHd<u
zo*x8S9sL^|?HPV5VcNM(Yn6)Dy1UA^O+<?Yi!OW()jDChpgTOZv{VlQ@@R{{w_IU~
z4NWTAVt8_I&_wU;;>8sgLE&2~yZq^q$h@Qajr1ieH(Gwey-q#2Dpxrjq*xozUC1=M
zm1&HXJrHz>h$ni(ach~8oQr+h7@i6W2c6^v@7&tlJUzlswNNo|0?)5X>$>T5XuiFD
z?*@}jws|H$<OPR`v-G}WN?-KG<;V?sQ7Xhfjk`2S%cuW?le1Ez=!YP|RiBd1Q7H?5
zfB%Y7!{-l=Matm)GoC|ySJ7TKwt8pQG1lsj13vFMu63VFktmB84Hbm?TSeDwm5lz<
zG%t_+GdJE}tNgF=tpDdO{wdMqzvH2<92s4p;>8}ULn`7X@L+g$6e$C?{)h_1sEXOr
z($eM426|9OzdXeK%L`y0J{1LK8R`dcpX`Mkg0u$YlRz41KuQ_7zjmE^k@|*11bG$o
zWbClD7s_vyl`X^t-QcP{fUI8t&JtK4z*QmR_yF?7BSC+Kyk609FYopOBrkR_g-}^m
zhB|>XDmHFL=4rqsbk{2mke<O#@<k6$RjfP8+!9Cmzg3n2^{!3Q*MZ_5a{v1PG;|$m
zd>jm4r=VJF2-VyVh=2n~P%pLzviMOsqaRd<hM$heJwWgqqAHwWTM#;-He8zHSf(w8
zh|;*BLrjubxdY{c(@il!SG?jn=envJoZQdAf4~Z%m7yl=6|&m9Aax=26d@!C0Z>ud
zp+Wg}Hnu|^tYxSQkr?##&kZ`>4gg62-5}I1?j9cn5Tsa*<fl~)&AC}4ItgNQ+;(L8
zPIJD4x*Kn507F==QGSU$0G0O(hM@s7BQ0wkxsW|+4sTj>?NvL(eJ#dE_=hXYpau(Q
zd>aPIF4_vHfU+I4DP-vJ?Yy#qFsfrxj~IQO#!lbS4blNkLs1th4D|9wTY{X=hb<Ta
zvK+yigAqFUoXv{^P@D=-2t<Y2&>n#ks;VI)li0TeIv8pmz+_rxT`)xpQ(4)lAqI+y
z!D?^4j-UKyXJZo!?$m(my?M{Gvui*qiWR4I{jf1mT;j3F3Ka|>xX`^N3vDJ;s=vSG
zkY1SZW3(!LWd>4&VLRsDX<;Qry!LF11^f0GfTXn^#DAo0Z<K*IvChxm4S?l#(ZY&c
zU^Gtzi)aq1&&O7urd`Hu=Ps3~$aG#*4(QP2^W>VPYKKslO2w-4unE~{V<c#MiDe_G
z`DN8r-Gg#Fve#*z|M(EGet4c*T3X`ne*A0|z7|1tXxDcG<v~6V+mdC4T8tBF>Y=Kg
z2oy7PCZzPE-<ma6@Xuk9@t2wdhqcaqxPSW|q_*214J89M==oiE_x^RVnZs3_6-p(a
zd_EqzQt=5E?cnu*io5B-LG;hCy~9GW(v+G3AG8+_00~F6PM_hlSdyR(B!RI2pgPQ0
zZaKpMiH*pzkG2{B?l7p)Q*Gw$?F)}ne+a6AF%r;jz+=#HwHzirYHZnc?%-G#z&xar
zp(-@0tRiPpSMs4iuq2?G3v8%ZIIQJwt^@*~g3spL;Sd1Eg?;8HKiMNz%0X!paV$Nj
zk<n3AlsSR#LgqyOMbF{!<Ht_~zsD%8F@DgdRGHVu?-n{a!iERekCUTPqtVQrD}iDH
z1*bf-i|6kQRbRzwFv<;j6El=ME5Jsw7ajqe=s;q_5<}=6LGmLUAXRxo@2UQ3rh0a6
zZXL;s&dG|%bB|xQ@OHX`dPZJe-V^4*pIT@%fB<buCoDNjU)0nm>8on5o1IK}k~MAk
zSkr{L(DE4d+rAC@0iJ9Jb1;@UBt#<0Na&Ym1sx%`e%jkPSJ5M=sD*mSRv8;;9SDy;
zNAp0tTVm*T_)ilt$I=qPy@dgzP0Sc6Ou%6x2{TGDBRRx9maY+7QzGP#qRy8A2yb<0
z=)~>c%h0p&o#^a7+#!CWjwX2Gib#JvmS!;yrA*M~Uh*>5YEWl=(2NPd;3jc<)9Qk~
z@e|h-P`3{F3xwV^@vpm(;vIJ&*vAm$^8me0-~%@7Vj@lrxjM3!SGKgaBK?O4y%B81
zYDBo8_*JB@A&aiNzLNh=uDm*LdG1_S&zvK=62Nme5LI(y6vDrKL0m4O0T`qSRGt#p
zhv&dmR*ia@6sz$<27VBzzy<P6S?`xyU|58w5MSbe+{ehv8j#}qU6GTgh(pm8(saTV
zop%2%1^>Rd#tpH%0r2Td%L8ZpnR^h02L}_d_3>IB1p&;CStz+2gR&uV<bp?Z2Qa&k
zZjivzEmfFS;>t{AWiw<IMHEj_aSGb(0{LR)8}#`O2W^OcIj8cU&}Ts7FhpfzP!`I%
z=6St6zfNwxePiLgJLlgh*uQMX{;#u;{|?;nKX>s@<xvQRwS_{qK#nA0o-bGeztf0V
zzz<@s14RblI?z{2L|jLu!u)xb&-kKu`yeetzy%%G3Q-k+YZbzZjj0xk%IAzhk?4JO
zJ=8zx`jTP2H8$I;jzfYzW#5>9m{NZJ=@jGNtoZ9c8eV-;V19+db8=LV4fV$vi_Wv?
z($H_-4-y6wh*x_-8X{hwK@BlY(6-8{fT$$CC7@4mOZH^%Ty#r_JC&NlETZS=5+v^~
zyZrnYUUZT;5di0hL{R@cE9;}Alw4!>=pw!nb=$uZA^jhc^8d?_x3QVF*s=pMU?He#
z$dBG$bn)a4K%1KN`?n$g0a6Wfn8`V)z9g~!5#Op(fSiP2vONY<lGwON1I{UABM{G~
zdM!h_|M<`?P6*w=R*bH9Uz$l!-Ux>w9<;i2kQ`(jE*(T}at6}LkU?LEGI_5ZhTE*$
zb*gdHi+k>SN^8X~_|FpyBB?9tJJ_=aum^xKM#DK-u>?vzf%b;rVL@Fr;xS`fyT9(t
z7=BO(<TH8w07c9WlShq%E@pbe&lIZxCp3Hfbt4jUU$=UQd%=;LKQk}So4p75?g{-+
zvpr8NcC0Q1Mbg6Axo5Bd@cqMMX{%D4FIH3-K3ANR3AlIt*uBLrx3@OoUl~fqe{)*7
z#tN=V_G~Bg7r!V{gJ5P(Xl`kN@ehx?DvJqTHU)X8<Oq1$OI;t}<`fw(AcqERk1oDk
zJLu%7V0jF<85DAC@;OVSH#y{!Qg!Zu!gJQ;40v9VEJIH{cpZY!`hCxx<?J*iz#&o!
z-$XJI`X&TJ)l&1JyMX-R%^LADcb+x^vfP2Wxk|oc+{JE52GGW&RYBZzc;4B>d-$e<
zB_pI70n|1M=HB0Zej!w*F7AP*YemKrub;8|zjC`R^GU1pL$2W#+}Jl*`Eki_g@gFb
zL`r$F`1@l+q>QN1h;894Q_j*gpC$XMIQ~l|x>^D9r5A3GA1w1a4)BW2%*v`aHz?OZ
zpB|Nb&{VL5n(m34Iz{@pL*^UyxCWV(4fQ)YGK@bpV}b5w3l9!h`jnd(GKX##zw>|%
znt(5W-irHxp{mx-n1f37R9fz0O5;KRm28D@=IRhLAV5{7UV>BiDqK<;^+9RlC>Xsr
zd@R+bG#!C3xq58bLvx9u44_C*C%}NSbC%6CbOlh03Ao|rsCzsB+mUz95zleMw~iNp
zJm%T$`SEvQD$r##+KAvNB}1g}-4$#W;ap(3>!{&vrT!j71<yAWB;g5IR6N0vy39SE
zzjR4FXmf5K?r*^am|oq{c6Rf|eHTu=kLdEhc@ZRAlJ|_qRblD?*9g%ep=I+v^Ll6_
zY95#D0pbhe4Zt|q`M2%4wHG$9C);@@1+cibLLneV#cKWT$p|NpGNtcDSQ$wyq(Wp0
zP=p@3YVR7T5{mo3F+MQyjPt)8iKufhaStTZ5^$@cxm2({x6jw35_B|XW@ZpCLgb3>
z`!_@${*K<Azz~ZNe$On&kHkK9q=w@lsL%!rzz%)@2Elm&LnYA*;3k!HIxii9DQt<z
z$iCJq6q`cd0IFg;$;+Oc(m;7SpeO*A>i0lvNluK6ExkOr@J`O2&Bf&(>_BRV-=2ow
zc7X2UaPFRD=D^`r=*a)F)no4WJ2{fkNbG+840Yba_%|f!pi(uMNVX$M2iy;uFc}X@
zU|h^!Q2^powq}r&irWN7p}zNqW8$mj@MTAR?_&5H8~CD<)>A8P{*u_;_{03%#s7i;
z{x1qW=i%0&n=7heb`X><ReGWHSUuKW7^Qeb-ro`p>N3pxf&U&g+1%O`vJ>Mo5N$IE
zT^y{w+o@awI2(u|5&99aLoNd-!Zhlj20PT+f*~}74Qe9GES!c47ODlIF@=iN7^S3#
zM#4U$@xI#<ZLvr*2ARUrN_RsUH3&Ql1jXx8()AFd1TQxZ$$~w{gnbIM63un%?*q9`
zsCotWdUxTH9N?E(!MmDiG}+}VjzT=F>+1!t$(~gb7Y?iZfRfaS|72mpNfWT6L)auZ
zX&~<8L}p*5_)b+TAyo&1`tDQF-=H>}LEP(Sm?%EnmcF<e1YJ}++O^bAZ{7%$i*5J?
zEIH$S?h<XZhY+1gh<DIUNTiOMp!VGV<LxY&@t170s)^N@Z)f7&!hgFZ2mBM~@Ehw9
z80p28PY-8-9kRA<@*qB)@nh(Y*#aB<%Yp&KwgF@cU(|Stp2o$Dq!@7b>VXBL#rJk;
z9m;SpZ2+0#f_Ve6O|AZhSnx{1JgI!?tWn%yoI)ra4SWQXy8pLF&__22w00=%wjCY9
z7X^AA`oSY!TcbfugzPrUOA!S_UmkZFV<7kkuDmz~$3qPfs82;(fqc2|y#o|?5rjwc
zX{>AXI?}<_fecS^i2TC38nCzOo!K1mXL2WJ?y_8T&A{vz1>qTTvH)tv`tbO@1A{-2
zY~1+u&=V1Ze7p4s9zgTQlUUU;-NT_o3C{TiPRr6j3mpEO2Aw-c2{8I)uY%}XmEdJo
z_ivDgXG=p1Dk55&k{FHo@TmsyB9<r#GM+Wph}-EK46Z71Ybi2Yq6#nEw3dd(S8XDw
za%jLqb91xbx0j@!dxTkkuw0x0&bRdijAS$0AitniQWWL01yUA9<9`@-+tpCQP-zee
zsG!ybggTTsc$0eqi%ex@Wd&iO(#?B5MbRnLh;4L_*!t<D`Z1|H&o8jnR#HqVk3XKB
zilx?q3s7v>LCs^(=^YKRzUU40>l@0*sIw>pc?8AwZ#J0fjgX`Y2_6v<s1*)Y83`{V
zcPMHj;f=W&(aDQhX(9n$gat^lH+ZUFY{F=Ke8@g2t{i+%onVy2*=!b+Bi9TnEDK8S
zS|@`NTMiR9m>iD_K#x8~$m^r#U00A=aE@k&H>~#i75?`2TGfCuYF?f?f^UR=Xpj8$
z*LxdV=xLJ1Tb2eXKSaYsFg~DPGSFC+ap;RfkpSfi1)EkjYC>WbGObEUS9_t$B-r<*
zAP_w7s1vx`Js6HKa*UM29o2wh5g-T-`H9SfPfk!|fm>Y@G|jFU>9-Q8=y`O=2tKG1
z%L&is!VMaS`@95Ta(;wL|7fUSz20aJ^zoH9HFVL)nR|W<7VtxzFlt7O?Ck8amiNXT
zPKOy43!ckKYTWn@^jK(k6di>R2hC%eAjqMv4oHufTj2cB%?3>^1~oLJhP2E~v4DhT
z8DXJWIch9k)BD}+waBiFyl|*Z0(r}PK=~=Ahl3adLs7+>EYe6Agap<Ya`|>-q|)!<
z)muwtfjQg8yL|FJGEMR5)H!<B>)W~ZWMt6Hgl&lWI8i@Lu&vwR^AMQlIt7-0qsRkO
zN0E1847>)qUw&Wh(`xIcMSY)FM6;DIZt)S&K=6Vy5e&g8zTvGQ#AsibU&CtQ-vLR`
z4V(>_09-X5_fimY=+>$_FekT+Q0l$eP~SfXFB40<0Bex;EaT|+TR5~N1d?aU!*jy8
zWj%H115MRvFp%>db@x~k9~aJr!`h%06xxB6?@V>N9wOf=X77c@ROr-y)<n<Md2a{!
zt`%CV!FszHSyBPIYKBY?$pKx^g~P}OqwU4W;(&l%8}$vcRdMMUU=*7GXM@B%dj##w
zvCa}rwCk5DCEm|GnW5bv-4z|)m83^VZpQ=FAHdH>iXObWF2z8-#buHoQSTXY#=v6t
zc&R))#`IX?qhJJX6W>pVWd`hf_}1t|p<+f-xVJrh8lAdCUEg^82o&b=FRiHYU^Hgu
zTeumGmUUqDHFwz6m+_Ietd54PAR5U1CN^I9ea7U*_@{F!cq>?DDPtc=toi`cyH8{E
znxyo~Dnh=79wZz9I~=lIfEDNqsw$z+fovT{->w^7@c-4vMqq}ZNm>odcRS~hqi(vV
zhdt{KYppSUYj4_aC@`fwg9ir_gf>9&7BMoIUm<Sbf}(%t_~E7TgE@Av1BDQjOIqYE
zp($Hv?V#|q87ji{sGGmJwN+aK4;^xBNKvlfWJDV$z@rRoBB;OsD!zRe8e{<3cT+W_
zIMk)P1-6H&xF?X?gU4?IOC^f1&~6}zPXSMeFX*fp>FGOAb-;eHndzuIHX;jTbTm~A
z%`LF&61`roaqjyhDhN-_?y^=s_1O^}?j1ttu89;k8s`qiBZP?d26#5KL~_{8pnS_r
zeZ8Zx1A}bgf!X)!J=rLJLoc*@u_xp&Bu=ZB^b=s-;nO-s7X&k8Cbw7f;8FaGdvxly
z^Z5S$Gc%mlQv#4oOX;WJu*CYHj%hTo;RQ9oA8oUYY}}6amIeldel&e5HyL?u88C0S
z9;Tkf<M(#9qy1$^vKgMEK}biVlslnXgW3$~D;J^e1W1I4PS$a)LYy@l1>aEn8l>1k
zw7bN&&d(TPdNsvxE5e<)F}MuPl$ow!a+3V&Q2s17KC&oRH&p+mpgZhlAlW=1fF8(Y
zSMConbrZ0XNjBzT8arcakZ}+QZ1;!|YKl7$5<=G%n`xlTksadXjIZH15%uRcjzPL7
zuM;;}v0x~2QTdu*o7zv9y6ycg&ht2AY7!Xx8PJ-?oZyKk0-#p+T6ELU#|mycZE|;r
zhjpGqoJQD}<(WjHxDaB*i!!Q)k&%U9lmYR0EAo&+*>DPZyvpYM1;{c9yQdJQETDE*
zG}OvMC3*@iC76f9P}|!mOo4{Fsz+Wh6p6&m+i1W7GFBmKr`YblqXt#h(3m0A2N6rE
z3k1A@RD=z{hlFDd!d=Mbgsd}=y~}~h1A&1h%&0^B0X3l`=(fQi#4ljHGY$xrk!V6%
zbRTuKgLk_g3PZFEElvzHJMR@&05{?4keSR3IuXOZu1>iy-UK}a&Xm~!4F*D3XjTCO
zCO5Oa8_Hl?A)<ih*nz>aYcw3qX%p1BS)oBqV&57%!$Y4vhU@YJz)9r>eJQ$wk6ch$
z$I{B`Jg`Pv*xh+Bxekp&fLrkK4ON?Ydum@mDcXOSaBxQsqFziilmm6U0LZ=oU>J0S
z6d1;Bh>%bBtk9q29GDS7%bpgFqEWmE9zaSe+A!e_;RNX};f%m=C1l@c&lwaGH$2CM
zfl3+&wkBvregqW_229krK&JDd$kBx!BYsi_{{VUt`djU>U42AfJ$??$jGFt_4d>=>
ziMFK9@G%t3h;JDOx4Vx^bNq4&lnf>-dQov2Djb?%=63*ZVsKMJ_d^J~Zs?Pu7=$Jo
zz*eb49zu{}{XIGZ7`VJ&sH5Y1&NuP7#oT47Mp>ZorfQ;u33q_{f^&r<IOt<m!a(~+
zX;rqSIW(n;`xsyuK}bOz`Gsx`W{{x)6g>n3?0!5i79WR(p+G$nu@{(;a32kv0|~Yc
z*l}Z41u`OnQO%6tfS;Q|;{i?rX@r$6A2!9J9Sn}5XvApHG_kJPa&TMr!;AwzLceAT
z&jf8GWSm0|IMfdag_4ZpQd^+%iO_|wJSx5XdUyQ;i_B$2<*yPF8#kc;N5Df+sO6xn
zjMg2vbJMVP=xb=%9S@uBQ)mFr5>H0KvpX@M<07VjzQK2{9U9-F6q&+jxfZMR$6lZU
zn^lTo-(5|g_VcmZ+x=rs+M^tc7P_v%BeQJI5R;V^!1O5%x!*;1VV1M&Yk*Y6qiQ`!
z3$PTZ3muUw(2kVawHCh}ooR-x=ER1cKV>NRfI5I&#C@f7w|L<<bdmGW$5O`<0oM{g
zQSj^`(4HNyH$n^5bh68u7J9%>APR?+Jx@5{<Qc6x9uAVI7Bw%qleVJYPzZxcG!T?P
zeI}rbGyOvyd5K=E!f>p>D-iPMlc#f*fktoaN6b<>n@01RVM}?a7ew%l-7NXOFfUe{
z-05>1P-HafB?zvu?<Q<HbaNk<irNAZpf7~8*9kMxa+B%NdzxCfB^GmeWmONWDO@MX
zX&YbxU!Y;elmLy+x^+?qF+Ko%2B9Ij7NmhG7@XqY_G?ojR?P|wuc$OHZm9Lz<cIpW
zO$tUCI5jk*4nqj67<EK-|G?00a4*I;s5pW30SurZLLtL{IrxZqpJOQx5vK(y=mf0w
z(1d?^H=6XWSPkY}JuRIJ&b&$~!^XimQ}(DoqsHVnFEFQKLS{cUf`!Aq&>U^->b#U`
zKrBqsEaW(Eu0$A?j|*g~x~R2lVO<M6!avhSGxINu6}3)B)zL)o)N$#<wV4J?bG>Yf
zzO>H*A{b(&!zZr87FsNa1Wt8Fn12CnF$pYIHLlKhybm1+G=4%6r4M3WSw#b%@-2~-
z6~Q?vKRl#ao|ZfmWl-TL)v<rXTj7Gma6?PV+?bm(c<ccyYC?Hlo7O(v35Vl3-9K;!
zmuD$Hy#=fa8;QAS<&A9&plhgm6f@Ov@E7FI1r1<O)tPq;B@c6msZ3H+w|R1Wy|y06
z$aIJ9HLsbSC50_>rjo`-*n0A?lS*Ll92?C?DpM0o+%if;eInwK5RlWip(!wQuWSQT
zFCF=}W7(@<@`5%Ct0(IX#_I}OvlRDIJ3gTD5I+OvoTc|f?<?`7Pf!C?z`M|q%Tj<d
z$Rw4J=P3I8vpEJ}w&!v2BCfdch23D(b3m97t~`NQ6`3(DJ|MpD*4m&MGOSGsv@S!$
z{Ta@}0cW2kQ=RhwIN}U(A<(KzMi%ETzK>nzq{Z-@O~Gh!I1E_%2xV_%DITP8VOY8=
zl!Ah3W!)_!k(&)lh#Q7*VQBOtw3GQlhtFUn7=r^6WXdy&xVAkqDQw4<PvI)V-EKk0
z4L&J_hLo);x?GfD_(CaK=-|a)`~k@>$kkcL(4L{9Mx)WiBD^CmMYV-h8fp?Z7K%XP
zzzQc$FtYQ&nxOfiZeUs{Q^V@L8G`ud&DE&F*d_7k7EQ4o97;JkPy{MLlp+8_@4zHe
zsdeB-ZuhbU>Xm&xH%8{_$nA6zz3f9L<w=EVvGiNrd=!`ziMS0z%BBZ>?Bgk$i^?}2
zjyia~Lj;_SBN!iI=954jM41#N1~weHG;r?oc6~~}bFEzX^G-FI<1p;!^7KMtNg2)+
zG*R)KA&B=31U69@D+Ae{r3@#oq9loUb?iuPb5Q2AP_<o4GzwI(0IFwba6lbb$5C!*
zMy7Tc?Q~WjoFiUam0^q`8kiI6Rl&rya^Eq+Z2XH-M#lfXsLj7A4Bb73&(k&yZ1T&0
zMS_ef@_&}i@=fDA21Y7J;aGs0h>5Ri3|Vm4AuK%6@S6K2W0?2_x@6EO9bcG>#5v|@
zidV+!U2?BMofe8-qBSBgi+li1952G7E+Cl0#hiL|)EQs>WHi41S`f?+g{h!TxtR;}
zTp&X-olc|;-#Kb;V>13+dfbc3is+W}K<57fSiu!wQO3{M;G>ah0|t8&D1w4)4aLO0
zpq*%Y>|V!}4{dS-<`gTMp$ctK16x0hD)dLgFU6D<+WQcxK|^JMVz4IlLf$}MPb^Ye
zk+OuE3c!xi30;%W;9`=^8@F%Gz;o}S-aeQ%Yl9SH^nYiOzo{Jkx!Y|{<iQ%h{v?aL
zKLWpMXjzWU$^7@_Di30wT{-nMM&?M-9$%FZ&edN}CKe?`pYrwn+R>@+U*@EB>(M4Z
z6I1q<x1Wltx2QY`JG$)6Zuaoa9oMBdJFdO%cZMr`b!pj|tGH`jK~&dAx@C;S9^QC+
zk8WPi9Ft3Hog;0p)^N)Y^^xWllMIRYeZrXXY(e=9P>BohKL_!WtHYMJusY{VlzBa&
zizV=ucYAL*mxb{Pe0+Rrt4wjS>eV^2Z5y|4-KsceP0!kM<HilbMq$n{j5BJ1c{tJ-
z3p=}bP@vP{0K}*5bhzAiPv_WFPO^-hjU)2{rX%0wRzpNzPQ(R&|Ki)XZ!7AG+7mRB
zr$Yma2a7oXIF1ttQBhiF-~Qmw>}W}RcEp`;bkyOF@Qv(T^V$5Jd-qy^>Hh>=0xT!n
z%ewL)9TvOGQJTqEXGegH9TlNu6;;*ZK$a8c9!>KZUSNIV#C=d$wq*vq=MC<Nm`Q6L
zA=}XE^VradP|}sI#J%Lq<_aVaoaCmp0q1Ob|Dc(X8_u}X@K8d6we{6<s<q7+HIVhc
zn!ECUDA)Jzd~$LKoll8#oT8G7gBDo}smP>c%Qlu&wkccoy>d<qsm??+PDqq2qlhsW
z`s7SmL$)#oZ89dyiNUe;c|X%n-`Ds12Ylz{_3EK#W}fGMuKT*K`+Z&S_ub!H?welj
zKhQrsfCP9ONk4k_k-g_#zbmg_JCLj`EG+Jo-mtf`qrf{+DO++Mz7NoS;@!T{r81ZV
z;+4&*Q#l!NOA#SseU8}Eqzl{bxFnoJVS<{2+1PlG=IU*5(S573vI+GGjKtHcyyoo3
zL#%E3P86*ClQxUjEPOF1S=-tsceKmCtl*3rw9|T=xT4`NV=WwJCI!y})aO>ZO?3<p
zdy~qPL^(U9{dY?42NF-UjdIJIX9S~YB~_jqH{Xx6@xCi7lK1rdvR-D;1F~;t(xaeh
z8{Vx6k6JCsIyIY42c!JL!cO?YAxiz`qhoI~C}Vx|^NS)GR}vF%+RiU!=mkB`jbR0H
z_22)Gak_Q;whD;`S(lqe<Kin;XvRqkzzBMB2;7$t&9AE$kXQ3S0za#}7C)*gD(#3A
z#Wb3{)H;1zR@9943}!}aa%N`n`DJ1><t_X6?VD<iTe6`dE!d{zXg*7^D>z0Xkv!Kz
zxOK-Chew=IRdw}arluF0%9P%cp;kcK?tUSsH*=DO-YET`p{sh?4Q~U6<G#*kLP>SC
z0eG@QV&3*LYu5Nc18OMB&Bdh%%}>@oK0ee_FZ;$M!sc09oF<(L(%oaw>!_-#y7Q~1
zjg{41X!3bOG{oZl2d62;vFY0|ITalpd#q~<!qji2r0{?u-IyY0cccbBxnHS2jdME?
zu!A|i46Qj$mpR7x&llaVy>qDwEh78&L6?t88IOBuTCe@0XK@<NFnN=@OJ(Pu+<sgw
z2FQ~$_T_`Z*u$ZhG3)zQ4jLA8<)i75M1=sr&j^)G3(t)67fWg?Djd>v{JViv@JIPc
z{O+Iq1-sp%?~96r%V~wbWuOPmYw3d*x;t9@GSkxXxK&}Nu|_;}`0$yO$fNLg?EraT
z7FGt}mPmEajB@OOQ|KtB-nyk~VBjK~XaaqtJh}JhzFW2{@ZABAQ>UO8cmz&)z-jFZ
zIMDo(lARu2UZ+v~N%9Lqt0r@zu}vP6GWYW3A6Q5}hP<bqA22l?DUMq#Xc|R!z8_pj
zO7N!FNaS`Me=3s7Np>Ee>2GuDae`T+O(X}PG)#>tbq&(IX8@Kp`}|2v{5!Eu*4Ej`
zU-W!SA&8*SGkzwK&t9`(!v=Xx&#V9ZdLDUHJ+FMqe*mrbk2WePwX_=1<#&e`BJO5i
zy()=IPb(v$gp2%|k*3()?$1Phxs}JZSo~=Tm&OWNoS*3d9{Fi%pl&EUa^=hc^OvmJ
zft7=|LDsR9({OIXzgbx8>T$<FvZc?wCifI+_78{E%pDdNnNV0&Jwb-h5tVXK?)Tq*
z+f}uQO1m1KS)$yw{JgySLb+jc3?_c-?q@}%q@?5`k#F#0@X>eH4W6-#qN4xH1t%Mu
zd+3fdqq<_DZF<n`NX8z=h=>R%7^Xto`^`I&{D|oyn#x=uiru!fI4{85DL8mtAt5ob
z1B}j?os)WdPX2Te)xu&3F8H)&7&JCDb)Y@K7WSKA5T&|#v#GeaxI6}k?B)RGx&^M{
zn5XCcn#E}{!k`NNAN_T<coLkzs#oKz+%mdW-S#PHAPoaH=mu16>+D=O#;rOHr&Wm@
zsO!Pe%*{8KeS1K2$VpTT4P7xa+cA4>?d<NiwOI<r2i%ahSw%-zH<g}eum$h(5h)Mq
z>FG(VSaJGG|K6|D2KWxVmj}Ed==4{^m^pA}OnOm=1du02_)e-boyTvAJ^k3>N%TKw
zJv=>CG4not{Fre0avMMsEj&yQ4-aM+{lh;7eXG^=X3hr~otu}eYXg09SL{MKVWI;y
zF{&CGcA#5!R)zVqpFbbL8rysOm0Sj$>{Z=99xb@NN@URB;yrb*KoOB}E*e{d=casE
zxJ%+f`2ixcOw{fv=vk!chvX9=W4W}L$l#V)7{K}X;>+MO^{QN|y9*w=Ih9zKJ{Ojw
z0>p$Or@eRK<YFKJrXMnrOaw-ZA|u3%s8{vvy@1w@taT6b@+_^bty!N4wyvr0%@Z=>
zpkbX0t=}#wrLe~VD64&VcsThI(Z}@k$l(%UQz4GOOCWU<ABETYy?+b}$!U0>hzaq@
z!q>lqpCml|!E)2Ly6XRR@>4O3j6Eue?2U=+>}SuOE$6S0kZ2YtD=Qls*pVk*q~R0J
z8Esre^f0Oie5n7orh5eP1y4qp?%I+!XYkWP$DsndyYF!|J0+;iX$Qgc8g;o;PVjBl
z|JbRl#=pf;dP)3sFwTtNLe1{2ja_t77w@ILps2)MB}A2Gm9oF>Er(;#t-^1^k;so(
z!Z*~0ynXil=<CP(;mSI&8ooO*5%BxPiz7fTt<Rn<IU5v|uD;CD((<^4q@A_(MiRn|
z6@`+Idg*4IrmC%NN9g4R1D;(z4{og;W@h|yshyd>?DD?x#*^!YY7T1=!{9^zRZZ<o
zJ0CJhk5F5G0H5YqWQSJmeLNm-4sL+f*P3#2ol&eaykr}MNj%D&x{Am;T;P|H(AE!z
zTQr>s{Is@Wl?`B!otm0j5noQ395|2%>A*@f>xKXk<0EctAJ8FgPs%DDk83s;3J}Az
z({!I;E+B{C&#!kBIh7qk?}~kBXn7^%M}~o0N=}0!!2{6xka5J_{Vq&Y06hU!BO^B}
zD=R^FoAKSq-uqbG`f|Ne7cU^<bCoM1~3+hYkbTAP||TwOEJ0+eMCHQj0cs4`Lw
zX%z5`)39$rMsZ=GExxRzv{Wl>%-Q$#BV&TR9KYydAf_I($YJ>RpoVkI(a~}IAJ`-x
zh5p9I##hLtiXi&ZKq=GaDBynD`nMDIC;FtidJoYVW3oE3$g%Xk@!6RfWM^8DQ{Dgz
zqBQ^VgoG(sidt10_V+szHk-}E=lLlr>FF_XDn&c}2ud-RF?w9XYrpnKPaaX;yjj~!
zNS^f8BW&ZTKLJknR)!S76T**qT$3-tT*3{$d;ea!>z4a0aME<&@$tB?RTw`a9NaOA
za}BL>!Dr9UjQ1eCZ6ZOwq_Lr4#|#q^pC1BrgC_=!Cz*&wjc)@w=gAcTcR9sDc%Tx}
z(%qm4v{Y!g)f6r)M4KEuXr6zh#v;>@TQog0#w`GX(i6P^p9!r?TR>Tu6Z(-;d8<~h
zZV>=OOhZc1{Gvuz?8SA(9+X0wU!ah14h6j3lQHNcw~L5iA|UPZd9{h*N?1jk!VO|R
z$2OdJ?2WYz;dKS5={X|uA-TKgo(C9E9=qDX>O(-!GpAy0(w(h+UBMt9noYLIH&Wbx
z8fm*5f8yjxXb5NoRbi2*^;&1^*1UEPf0eCU2`AZHp(dLMC0RQ#(2nldv4fg}N}2;6
zg$830@CmI6kK7(pD02Gq!>p|JA;WFP%a%*FVTr31G<29$_HhRx3bTAPd~$7brqO`2
zYi005BJifA{WKXPEiG+_fl0Y>BMVhj>kMM*2V4+^B-0NL#>U2xSfVPEU`s82wE=JU
z5$fAX^eSjAx19PLL5?MNY6S!nxoaOrl_3C8Q0N$X|M~No)LuFgRDib{q=f6&dkBfk
z;ZS7H>gp|r`|xb~a^F|H!%7*jz|BoQh*z}TVf0qvc5e&qLKhiZR9JWzX`0Q66WK@@
z)}Wm<k$qwbNZ?5-W%X@)y0cG75mByY8fs`*Q1|4A@UIayF=i|XK0{wX2H{(C5Knfd
zdck3Tz@7tLhehOMWwp}|w2)&JZ4MnukgS_%Kr|6KH=VVgOfYu`iPC-{K|Ww}IA^pS
z)np&=t1zWMEa7=lbFgldRqXg>4vdKpa~NnMctVagPJr-R*%|8Sc$?{L?^U4^7#Qez
zB>}xqnaQTQQPYLYJpqGzix~vn{>hfBLVNK+Grop$82Opo!G!Wn^zH<%oZ$E3p#a@x
zkGPnl#5L_TCT8dCx+<<;cej+dcso=I3K0MEva|OQcFP(4mZkTWc$oikkk5qpkT$a)
zNee<QHK)GbEVWm9<w~8@#DoMIcWFj&3B^YjeLM5T8tE@6bwr;fD8^Z=^+Y$%!b`Lx
zA`RI<a$@-10b+O`x@iw#x)Kr+`8p$$P-OBG%vQUkheBrW2z{HH+OAaoh$zE$yr0$b
z5lTT18himT+n4Uy9~>Nf^In93o>=X59`>~<*2%_Qh@3n9Ei{}gebfB0va%vcMMI+-
zr2lUD4JvAC&CVL?>H-P}T3l_&m49)uN7|3<oOV4ued`#--Q8VYi;}#F2M>14&yU{W
z3tq_grAreKYiRc-hwRZ4yQ3fS3Q|%VNsX<oJuoY-AJL!bJ^t-mJ4(Hd21UTsh}9I(
z?@e9Z{_5Md^}tbR1q?ooY&h;V(ths}a{=`AgP^CE+H<ZaC3OL05WpVH^6w0fVkuUM
zgt^Rrz>xF`BivQ&W|Yc_MfI=c<8Qx-=0149$M%9$O6w<dTcso?=S)onldJ*NX`yl=
zoOuiL17EdMGo!zd5UzP>Ll~Op!H>bGj`p+24Gj%L5yaH9R3vhW!7$8tBpT`@Ra_^K
zSQ%N_&2`&lWMpy>O<VrdvjOOHh(z*9Nh`D~$i8<^I7Nw@kgU7GKJf?p1QAj>z7KM8
zhH;m)ogNALVPk4_+dJ>>7i0hR*H%O#s?6H8g(!wqbuHEZp+v;K$-kk7UI0eT?N6m{
zwXwaA+~b+CSZ0ktA2mL-IzpPL(nsDahCFT-s@o>AiR`NdSSk~;q}eD=GAB!L3+F=5
z6W(LO9KlBG=9MJmwC(T|TId|IOY}jbfK*1QFc<OkSr(R)lSB9f-W&lh^)mc3LC$|a
zP53K=pm+LS7vkf~VizMZVtU-?>7R}Rdhf+1xB8)<hhN2Fv_xX}3uj3#QrR^!GTz_@
zA2KtubZ|(+_yJ7MMI~|sja&dRC|zkNp3x!TW2K^^QVEss>RV~MB==(%r$U(d6kyAI
zEM15I0>CjJm8HC#oCA*^KUP?$q^s+IoC4pPhAke8D=Kuq7ZXGBaTvE23EtN+<kH|@
z?Rs;K(fS|Mjcr|B=@<?k!iG(Fcm-}^je-Il@VQMfYnpaV(MY49YouN1d5l!+{_})Q
z+zDPk-uUTTZyk=mOCSbO`1;=|7V+o3=Ky?sJK_KP$xADhl4{FoE0TJM>m`|39H8$z
Ge&N4VQV!h!

diff --git a/reference/ggplot_sir-2.png b/reference/ggplot_sir-2.png
index f94a96749237f94808d2ff1543dc37a5550d07ae..889dc7adab213bb7042923d3754de341e78cb841 100644
GIT binary patch
literal 50068
zcmeFZ2UJtvw=Nn$Km~-K1?i{+=}meGD2foOQl+Dz7((y8sECCkp?8%4(xnTbDFRX>
zp?8obC4`y)p}dXdf9`qj-E+=;<Bd1o9pmgVFq_TJUTe)g*Ie`a=C^!#Pg|AlEX!FC
z2t)@}yQ2#NQTl*D6pv0*0awNn-mL>4RF5=N?*N~`v3DCC41An%Q8RW2f!M=Oe#oNd
zH*7$lD<J5dTlzj}s}ueKW(M`g$HWv!J6J1L0?wEHomGY3O675Ub2j$<lkAZ^)t8GK
z2E8Tw;!5<pJJa_W=B3_VJauXwMBUl@H01pq|8{Vs%G<qbl+hAbc-8JdrV)ZVL;Eyu
z#MZ3t9CF1XuftPNeJHdqgfrULqio0mfro&*y8H(N5>EZ<<$wS4|BeN=n<EHkXpK}<
z!Y)L&O>r&3kcvD@w9pi3XA27%HUiZ$>$z|Wk-GISx!mTqMd>_C?9fIpw#6ue0z+K8
zVP>{QqIUV<(XfgCJ5)E)>D8TU(L2>8E46m&`&lU27&Ys@&zxj`dI~eQs?f3eBquNL
z9J?(I_14&bgG%diym{%;CGFd{Z+|r*eW>&bMY$riksexd>61Td*R~zDjmxZ|FBg4F
z{4<DVrlw=3powbxzP`SDiGFxfW8-8lcy=Yh_KW$SHlEIpg$$XD2`&jEaPRf`4HSlh
zN*}BiAcYgQQx<*8xnk6snDkJ^Z$GJFFDy%z`^p5ewe97D?T!xilnP5qbX2az41p({
zit6Rr&f$rlq$MTIg`j%5+U8Oy>ObRXN?I5@Pgh@4jNpb(*7^2?s!Kd;p1BE(;5F*K
zhg{%ziX<Y%Pl9#GGc(pB0Ywiyaxr{N71`0*8EjWX2mGo6>Df?*BA$MpM#T#lt@Svh
zaxZDYx~K~Z3Z$)POaBZ-RBG3Y3h&}D{PAH`t?jttgusV*u)xw_S0M4;KHCeiR&`ze
z_#3)LJ`NGa4<md-TrU6qV$;3IybvR-KX*IR)}7$UjK%u28vn_wgc#HgvS-OS>a&S|
z6)MViYe7;&_xA1P#KKDPqDmv$9pyjmUXdB)5k*Fb_1*A3p0q^I%E%X0B0V<WZO5Rj
zZ}<j_GS$6%_in}wO8itTuZJ}l94+`V^Re1z;|B~pf%lz6j*gB--L5H~94s;=av~RO
z+%<nacv_@2NsH#P@WJZiOzMzkL?LC}-k^yw0(Mv#uKZ44fg`b2{RS;M8ayyCfD;rD
zkXOM57OxzsVGUtj^D%03SD|OAo<^&g=$V?L4Uv2T0_c9GEpw<I_rUzzoLT9kmRGG0
zEf({VN4{{`Z@vzGQ@5?g$@ndQZug9R@>XbJWMU&48kTC=IqK8&7!KLc_e{|28TH97
zak?kU*nM(w{YlNJ=f12ltBCYy{ux%wu3vX59o?zaNzSO;cr_KE@-89Wn3bMM2;KAG
zipX@t_CxA=UI^%zMUTwcTMZG>jxVV%FE1x;yx>sJbdr>m3{KoGogC}z=rDu6KL7IT
zMJT_B$gwv9CmA)HR%3_BC<+S;o3Xx8Q~Lh>BYOjbfj3i!ei_8)Vzxi-k=XNLnZa(w
z(Ck)|5qdV8N3qe)&cHx|tr2xkyrtr`_cD2M*aLK?za_94Rb-c2Z)P||N-t&a@GMrY
zt`ci5t-tnoY-T^Sv{;8M+SoMlV$=k_q1`bEjC90xA)IwAS92<+XhYq?G0Av)aOIi)
zdi?}mX;I{?%%Skv;7<<_Q*7<CWK8TZ{%OfphwiS{^a)FJrI+r)TI=m4@i(ttz1rCD
zIk*qCv_N|~ZhZ-(c{(`C$pmYtu^-6qM(P_I`@&$bSxI2_(ID5@=jL(lpD8cvpR3f7
zS}m55=FhW|h@!LBIEr!<5jLrKe5<N;EU;bHGEPjX^Q4Q(g#HczC6^KDf-=d;wO8(z
zadGuan@zkfa`IjxCKbGh#<uRnG;|XSB)w=Oq}Q$Mwa%1#hqse)LeYkoQJN9=64D`(
zIwFCn=+Y@0Td=%$_CiP@t6sT~UY<UYh*H8@qQz{T7S{Gp#^R$8l!-FB7W0h@8JC%<
zq=JM+_%`@w&UYsAa38iXxvyEZ{#kTHrGU9r{r2rN9n=xYXu~Kw7QN^@m4Lc=g+Vq>
zky_W#(5niiK@r--ja<FuRXu3p{!#2t*oZI(ELoJFug(f9jzw9C?#^MeHFBZ4Dk>^L
zKsa-3O>zf2n$-L4WS+~`3FhbLcZ(DgD6BLpvZ&w3t>OA|w8n(nw-lT$h*cdO9c)lM
z{VDRNDVJz}&sr;oO-DM5A<tvzs8N=K<-LjT-`}{H55<BJxG=yGcOaxN<#+y%N*^SP
zEo1>9VZOHb$A*u$d+MSur$Na`W%E*>sRBpieO(Eb$jJeB(&l_;Z1IW(&(eNbS=ptn
zMT~R6OxWe(g#H-K>zphHT;zY6E!@D-PHOHwN$cuf>Ydvjo>Vn3Fz^GS>1Ae^aQt=}
zssdFFKD-j6)>T+kge(6t=d!=8Z(*URiX8~OIUT#Rvy(T817<fP0_Pnmw!+H7@(9`U
zaWKQo$f%k)9sS4bA*CJF;yws_`;1tLLYB%Im*LoLwFR%?eUF0T;>i!8n1R9meuXPb
zq3@#T{&Z}06Gv<D`y9lya@yx_@Xr13(-W&S{qJFiCs~1jr_r_%?wDXIxwjombxSIE
z24;-eGg-es`SC_kQp_^eZU30o{nKGBchNRF;nT9o4?jo(5}cmK+26wLTl)d5BYS-%
z@g(^LHIe<ZP7VsNGrd-%aWpt?M`GQmn0(>=^D~a!M5_G3>sRjO*b-9-$DNVL?$MZS
z!r0LxiM-2M(8G#6^XM)<gV5U@G$+qtVm?&|0!^Ly_81D!5KdvhLicW6lD$g?>rdO<
zp3-6m=4(;|y2fB2SG!*fVmo)P+Om4ATBVX}Y3Xa-+Xm^Zd*aGbV7NwZE~0vMAje0&
z+W9rVLcPmZj$e;&8ot{^16og?b)%^DGMQrVd?fnTIbGDkxmC}v6q4uZFSoM<+oZ3_
z1p6BL)o}|$YaI<^qA;F>%Jihgp9Eu-+BxTLld<zdJAG#_S)CUFv56I;a8RA#sO#Hv
z8QO<@DRFj1YZ;JRb{FSphrMO80|_}r33X+Ndy9mxr0aZNV*y|wa|#$^$W_zzO>N4^
z-rAbjZF^O9di>AtTfNVeTYomUTn(HbcIAht35_)`>BVmDJo49#Z1))4&$cE`C<(VM
z^(khz?c`X;3rrSLG{rn>DNb4&W@LA3yv>J;Een*|5#yR;SR)68+&&pBQ&}7?g|5=g
zTeI3RkVxl_E;PhN!L>BZ3bgqQpf1O6h(|eIhmTa--b54U#-SaOPlGAyAQ!&(bg+*0
zjo&<Ui|k!hP<8&=HyX1^pz+{_+byIYtSZ>4EuIC*94M1zm0=aqE!nW}*(bFnrRI{|
z8&3(WPVmfYZ9i-JqGhK)dDmYUfXT!5f0WLaxdnniRt~K7O9mj2rG{yNe6@<_R@b$n
zRCy>SBPhaNC-nnm%T;cL0&3D3H^|tfbM!k>7tbJe)}xZZO9wyh8IsI>m5qGE@ecL_
zgFO|6wNKWHURD%O_VYvc2ha3RQHF478N)M*lMO#?y>c@+Ps{85rrZ{-K??Zzu^<x`
z5iu!*>ocExIFZqFD^uf(Nzt(6_97n$6hiTkN(5vzoY2jSeZt|at?|^{`I(44PT$-;
zw?WMFAc$n?Wfm$dUp)OWJvx5-uzIwDXMQRFLTkY=^Em77XM%kF71hQxz4xZocMUd1
zk1R(5gL51|ls_k%e(a4(+>yQ5%y(v6$^U}7G29iJvB`@8e7!8h`yD9cp*;EnzANim
z+XpbyJ&g{%Q4?9N2gTDF-lIDtNIJhrcOTF71<tx=22ys>fB-w6<Ez~L3gDmZp{Tf=
z@U(yGZ9y_v_9dIZb1g3F<etIJ^Oo1=*%RD>$ql0?0|xbg4R%qXiL^-G_JNxl{%q39
z)HAH2aeU+*ceZb>pUKSI1Q}NQMnrW*UPGlGr%1crd>lD@YO-q;*ZdMs<b5H3v=(Mf
z>t{l;it#6Ykc{89;EKEU!(!mgC&c9f<J}1#)P{V@%EDAD);)|{Vuk`kt$@S~7O?Zh
zQ&GtIn)S>mKtLeT=L|rEc;52(C%%@x%|TFLDcm&cWIA`KZ*5OpeTKfhR4o)^7>LN#
z{^sd%xP3@WM_%~8)AxFNh+sQV?PU*ymRa}o&z4s}5oD?+#+kRp#*sH;y1qCalZIWN
z`V|8MW}*#dM3aMdb*nBLZxwoMjXB;v=N;aMk9=Tc{M`MOJ85Fbdem=?2IMnz(<X2f
zYi<*G@JNO`6pIWhEl0HC!?@$@fEP2;46JWWFWMIz3M(pWXNsgCHMx43Nl7II+Du9x
zT)aOWo=q>t+{tv-=ui*be*j%Ey?{i$zml0rep5$P_fOA|+l!BNT`|jrU(#-2b}50*
zMTjx4*A~lbV5PzFP&sYv6c{o*I9OHJ(4aVJndu_K<^$vbib6{_5I6-WUTwc}R>r%~
zq|#m|I50ujT&~-M1OrkIq?AT2-}#pcULo#sdRR{G?w5D2rJmb3Pd5D_A;Dv3q2ABd
zSvfN$sl@r5)Hu7X5>(F9>|T`E=tZ5SD98JOuA4GiUH#J&@!Q*$TDZ{!wNA0SxpUF&
zxkezFw_MqUn0HK0(6>(XPWajcjE>@sPHn&-$1Lvno907@6(~#MXuxxn_*oj7lHIR7
zimtZ!rmFYvzrY_q{*d6|8r{tUt-YSEeat!Jxp?<lOtl~3FUB-Qltkan$`lq9RDfb%
z&(F`#0+1|t(0vNXxYAl%TjK{uQ-Lhxv^UxG6$?k5<>Y$vavLMbw#r)BL4436W0(gb
zniBJTOa}=#p1j?qrKw4Wfmh~YMZ*KZQ^4<h7p-g=L2UV4@EA#qdS_KtUX`q3p-VOQ
zJp8uAySk9xrCDP$AcL_UN;>Ovyq9_G>&73ye9l`bGcmEcEI&U#upP;L;RLZ(dKt^5
zA624W`w?EZJhGH*H4|Kt#B3$>4-Ps3AcNDn=&%7*qT#2EWm}raJCnSTwzsu-EXsDy
zA8FxkPV_?HCT3iAKX*w%b@lZ629Oe-%l$Ut#D72`S(uxWto0OCv?WvFXWb3lNADbZ
z8EFPT)_SaAXH+!7{O&E|#l>YH;!DPC(t_SxQth~gXa)jSAKpZc8+yEw6i|AK2L$?7
zC3a~&N0(39oj9ll-gF@n09?ojt^QO@dI;q_240Jp`#`=yYIZS}mX40D6U>*cEn-q`
zs}&120CGQQ?HA99a&Y>5?b-qG^?>N+bP;$U=86$k99itYl%1#!#wFBts60S8-)IeR
z+1s3NZ+4pjy|KZh2X%$u4Ddpb!nRD)H}2ovzu7isT&JSQPt$$d!I#A;2Lhcd0T!XY
z?s6=qx>^I-L0xl&6-W;5MV!Fqm&w7w!6AefsOVhXylAN3O{A2=u;>_*9(ZYK&83=J
zV95|Fz+HpP7y?Cz4Vo0_^V^^TJp+x@{NC2q`Za$nJ`K2HQ%K5rxIx`u9e!~QOK<59
zi>__-j^RB0bAzZgUNZGAj<7_iexO?fFOc24rPV%T$^md|q}F}`S_Ez^8BIg~v9pbv
zkKuIM5NzxZj%QcE_{+Kz>nyZZxYIA33nxNa2S>}fJ-bq+ON@~$EG!MyMd|RO`bWG&
zC#kO0>4^LMdVSS)=9VRGRdb+he^jw99i;82FY5>JcM)%ourHQL3c@s(fq?XVC@JOh
zimyfbtPIk_9Ka%$gtZCQypodW#KgqQCWvDt&+aeri@rRbM6p)Q&hbP4V3=G~d7oE3
zlS0iR;Xfq>GV_+?x93Bt*XLq&GGGzOaou9n^E}crn^b<jG;Djiv#p7WJN<g|BP=C5
z8<v4@cO#9;B-upmO|)g*kMwjV`jd+`bd^jE*;ZGBud_{GmSUi_*^-5kGBXrB-EId~
zJ(qtJ;bqJTO+j8@s>CWvb6VNrdj<W*yYw>rmi>)MV?P7tdh*^?B{<MgN2ClXZB@R`
z+#gz*<?`*idF6YR%gh%~E?-R$m$N2i9b&L><OIdVi!DeYa4-O$yO|piCUjPgwXo5V
zVqp`k5n{h+3sT@^ma}2H8$M=8g8#fB;Iid~g{v2##F}Cf7t}OTEK&7ZOgNa2iB|C%
zT+7iBX9CRuZqS8wd2?&U>nFy>y0^T#B)}5xo*p$DfHCp^?6S{sR%Dv@W)n^3ieQFM
zzL>2i0E*=gt^Zm7@%W?nzJKuz+Yj+P^n%7Rw@%fqqdj<?m8CMpM|09qSz^;I!+nZ}
zkWBH`0AbVF79LI!atk&(EM-_@&%#RHEk6S+oGb7ihzkLX5vi}I=Z;>f-9Z+|ZHswQ
zmU{wFEZ_P@a%%Dn8b5H``y(P^$y?=FPfyQUo9HN}^e98NH3$fS|1}oFAk*~^*t*H`
zl&l1N!hdlG))EN-k}R=aYv`}<W-6Byf9mZO3^PWcHLg0ab(IS6^S8FmZm4nx`r<|_
zy8)hv)&vo36|uLFZ%`nmp=)C^9|;^oUmul<sMUI}8x3-&YX|c%oMt=1*X}&R=EWm7
z@9uxPDHTRo^;5xCmq}X8<TRS|F0qcV0ECT7s-@|mAC`3Vrf9>BP&HoQeOZYzfG_Dq
zwc5UBRja`G<~|8Lk#RyL+z9Gy&BV)W9a!2R>JHe)itkTJ>Hx`pMP(3H0AhQm@r!kl
z4VFoiDxy7vcr!xGvhx6)<8R6z?<XW)K;%L?t>t3IHD8ABJe9o*AZi_~003|Qfp%ap
znb+FIS{0`1F~7m}5x^`IKmTVvXpW0>ukRkox*6a(`m$WjuB1LGB_yc4W;_I5C9YvE
zZB}B_vYEWB*m_nYSaE5=znoZo-*s)$A(Ap8#e+Yldof}`qsOsY!DgEG-gkh@F%E<n
zxK1XPOEQY4EF3I1Oz9No^SDsH@eJ)%4CPWWHXcz0*IVk6ChPrI(AAeOUaY&Cr-gmr
z_2n^XLjgaAym<Q5wWl(zBS>MoQ{;(iEI!E=?IxWX0YF?iIjE%;$N{RMvCd-&>&_@*
z!Par0(BnCw5h)gJ=e4IE7<kxVAXJc_k8Mp_`85G*fE(dR{rmT0EG;a8QpFb7ps9u>
z7Le(}5r9TAgLR!n;0y|kN`lb-qzZUnmByw5CUvO3sI2UUDwYJWDQ|5lDSo%jl-g?6
zgouzG*s9z4Y$du@TO8jnymS>x20Q_<bMIuJ^1JVl!BHM?_l^QyXvou1fdl_>(1I_o
zd#f&b`HHyP?8a^+@_p~)?c$8FL=nr3IFEGH3P90C(T6vO=H%oQaC?Gd+r!J;2Y$B*
zin<FEo{nsr9n#pZMI~}`b34XtbG9ZC`}_O1(H~U)1HL2B{VgmZF%c8v;dzB&*E%pT
zFyGrBe7>f|gk%ou+JFB1c@j#zu##tJVBmfx!|&#r$RcZ0204NcHoTz6F*S5100|F<
zAZzHLo}N2*p%epsl>nbZujXg<0ruA>=+^OnaUC)yCmHOoBShx}?*8}b|0i~!R3)7P
zO+T(8pkz1raHYrcql;v0`K|9a&MYPOD*j@nZi)bq+J$L?_>N{1oUU|ogPecKwq;h}
z`IDCvV!_+{`)z?hiYfpo{(byUPFt=afWJ5WbA`i2vslYJir@<h?>aNus|Y0Vt>?*4
zsITeM_coGC9?bGdoHWG`v)TT6%#P~=l7p_dcmDVeX!jxjzkVP8`Ki83h0gDLBkIDv
zJs$h&k;umEo<H&P(QXeK`^zHCDs41C&r)^;js4GQhdmY$=!8T8jtHosZU@IFNMHz#
zVrNN;Yi|3DH#htbU(mlt2BHcN`BmBo5nHvx^Y!x0QeCFMD0}xL(<2+h`|;$rd9`l0
zz}j}kIL<P~$1eaF{Eas2<^I4(Ts}OCex;5KWd4WsV`?U6`5HHVOYK3yCG;aCYU}mw
z!!<p_l-x3GU7*q;LA>)aNL1o)$KFzk;Pt;VodEw5FVyyW)Hw*J7O!=Lq8S_3D2hE7
z%XVD!^61|H^JynCtFM2ipXd|as)8e2$As8K)y{-p1+L7bQa(pg$hAl=Tc7)L!&UsD
z7H+>KD(WidR(nls9Acl|9Pi{{r1wS7y`yjYO&0y-@a^`OzK0yaSLkhfR!;D;wGQZ}
z)So#m`UN|<+~atELZMu3@!|siMNxaGZ>=XnKlm}O|Eav(c4XcxX?tsRno*YZ)#dl?
zfkeyb>}@~6>|=ZTAzb+@PmB9&Z(D~m)K&(f;?$p#r7H;Ypm|P%n7${``kaKr#BEQQ
zW(_JCX#$48it0;%(AdzZIO8I-{)I*)zyxbEIO>a>jM+xCxvo8^v>(Vg+7~ph^+>5C
zv<;5Za62Y==z-7s7B&W&4?+G70^-j8$_-R&ZNy(yyj3k4#ai7Q(iZ4fDN4^rtgT8<
z*ROseH}^8TWf-Nz$Mn4{xg|wfQFWH$uA!m4o?$2Jn8DEbq4-pjom4$_&wyh0@1@t0
z!>~uh(%Cz%R3IkfBY|c27YTyKWlc=w15EDmD582ttVbH^EUZgz$TJv=)&VM=ec!(`
zlnyG|7nxsyr=eoO=CRtj05FlS&zz0($spD)`eG_8E4AKuyhH)OD=|2a*bpBdFN-uZ
zK{#I@2PPOOq;zKWeFIGl!1{524jIK}V5K_sJpF4vN$3D9qQM*!WyBm)7N0Dcxl;W-
z0F;YB_u+k?J8z-54<FeL{jk5Ba4&-lbaxbhdCfB}R~SwgCV*jGL<mM8^3JtTeg1g6
zh?<+aX1eo0jbM?mdiixr1OL(^Xo+uzwEX#(ry|5ukZTG0;H5M0V|qUJ|5^pp%cq#_
zWWKq8T_f(VgY?X4(lndN>=&Y*iEzkkBP)t4x89PDWK;CV%jF70Ra?$&d6QY8BJ<AE
ziPUfFzC@jeMgpa|p@IUlVlVl>T7csE<>h5L?jitF%0a7h`<C{QN7p>VzWkRV9k9Il
zIr!hjdM0lT3qgxldddbTtt0lPPjaMRix=BY#B*tRqKjbJVCI?RZP_*BY;HPz)XZm`
z`Qp}I`v@O98Hg!GO!BET6KxfA^G5X%O8mHCp#EX=bGq^YNe$v3*mhDkwQ7@YeE?O@
z*1fxY7RcrWBE;zRjf|X`w!=;g18POBsSG~%W6dAb%pDJ579Dql`i?Sa@rqb^?E5ep
zQH1o0=Gd+q8W?b!4b`h)C5u;rc;eM3^nm2wd*(~n=lAd5mlsw}C2lYD=jmmx_2TN0
z))Bt%8^s_1c4IiLhV`va8PuqiVmn7&Yqw#7z$EmGIZxItsDa-DxqwI>BBt8C-0$5<
zS3<IMr7jz@e&doy+s<cL#>r0yH6oVyXVx2|+Bro5<p!G~P)>?Rse#?nS87?o6U?+!
z&R!G6FRKSfQK&Jn(26ntXC`qWcOw2Ua#5y7d(2?>Xf9(cwtepKv(-A#-1AQEiP_pU
zO{kGEqU3CN^W=|~*U>Q^jf=h-_6S7y(P0Xi0)Wbt#9I&aq}teM(F$qKx_L2*f^Q5;
z+uJg0oF;0G$|WZ`XM4|7mO@5Y&M`@53i8&k_^%93Bo%G^h@ON9l-Q_NJ*T*<A}8VW
z2!JX_F|VRYzGKC|a2TcUY{@71L@fqLv#UnKqeaHc#7vv7W{J(@6>}HUXei4`wcU?e
z+J9va#KT}|&!5$3G@}-2Gmav>JtID-q23&+pJ5zFM@?8xY^;AcVI$4<leHzhll3*D
zklat{D6-wLBpM$8SGWO!gGCcWG=3nC3vO|RA&D1mIc*=&UOm`h!n)#IcaJyjRokqt
z5p#GT;LBbK@$u=`mK1?t0frZdEo=hp!y7Q=)6c5lqP(IabAk4__;_>sh`nM|9&*{u
z&8_%B=_8d{mtrx7(_KK}>PA{a_?M0sZu{%<m@`qaag~jk@A_paqO4_av}r6Kj>|d>
zK8(W5JmPlL@!NNoc*jHZSk~!9DIh$Ft7qi0tR7pY9|C-1P=ydbwARzMw1?e_(Fm*F
zh<I55m}LlN&bgcMKa@69XO7P~USZH@%oKl8hx~H?+C`VB7!Lr_Y&{9U9lNM?E{EoL
zLB96~H3fd@qmktDm|k3MY(d&<nRd6++pG6X^WT)>#^(DJ`A%Ub=D8XOtr>xm;4KO=
z$Wg<~rz{v9%`2jIKJkh4GfBz1F`y_X!0WmNlL!^4a<Dl&E!8n%z9YW-^<|MBI;y9~
z;3esdMMslbkEOza0;5JDxaA3yB+h>O10~T#IXMe>q~f5zKOo%@fZx9slXMLV@NCC`
z;-b|xO`NzoQeOG-qiCAub!kI=eNCWVx-7o-83@WqG25?GvaAS9UsEM9l*{5u^5gjJ
zMTf}C<&zho?q!l3q9#8E8~EXNRjo8A<Q6y*Gw9<p1aNN?rH<c3IQLIhx~QW2l$t}d
zLh?<IZuV9T*hxzvRNaoDP?5W_eqt&8I;o>O-_o$&Mqx_orxZl4F4Z_hCcb&a9eBlb
zmMkl~c}ps<t@e62|956317q5V-uYcK)y5>f{3-m)m67^0j%%wX$OV*w>f+__xrBv0
zu#C%NQYX9l*4qYA-|=aB2hB#wPzY)5ku22T!xq`PmC=hv97mi+;1*&OI6`_|J?c9Y
zUu<q}?hTGEazhwj-Z{$lCLy^s7*COh=5im}0mwnHFL&GoZGx=?u+G9{pxID5pd5kj
z06LrA&pqz|6+wUkhcj}!1o-nz7|mrW8XB6})+A?uo;ZGh<QEWdXJKW%FgRK=(BD7q
z|JVrP2Gq(~<G+^Wt)uO(8x~o<Df--Fy0Lzl`%v&?%xyvY$vQy|{H9sBVi}^!Ki2Gw
zlHIQL{TcmxEmzZ}gg=m2#tiz{h5~u$f~ZRDvPBN-Rc6WWmTx{aDHX^W0|?N%_xBn}
zQ|pGQ9L_ISeigrFCq^tx<sjy0n-ZxOy_5Rf%u<*!x`*p4;ibV!t~KJLyAh<W$;WSh
z+Miri3g+3(spz>><`7wp{!z!@ZULwnLVA&g+B0+c`?rrTGJ^b=$Gv%@IPBDsV%M>j
zv!7gNEqcZ$q*tWk)$0>#NHItIOt1ypwPMb$Ghb&nNZ|VOFYj=~pbicW_>gR{uB{1@
zwLR##g{k=mkWpKy0ZhL~cZG7gQCtDi>Sj&oyWouDRCBRIu8hHM@z)pS)Vwk3(bZqM
zq1D~|*q6SyWLv+9-Q`)3tqn9Zx>Qgp<m#)s_)HK8;a2*9R$#~kEx(0VIjjW8jkS-2
z^fgCHN=j!n``8NJa?#Ns1q`VQOi3OZbbB@fAXs`5Jm6OtKHXuN_KzZI4@KoM4}w6u
zBTo{&?Rzb28Nc~ea%JNkCJUmEJQIO}ovG3=i-EfvYDk|sBL|g>o_x7H3J;?`v@Zr{
z`_-Xjg>#*=b222E^{4~)PV#-L53TxilluHS9->TfC=9?<nE|u~s<_z6*~Z4EM;>1%
zZi#gkM=SPE<mTt|n*(4yy^^2`tQYNo&P&)B5GRZQVy(UO^mJ)p^@^#0?<@}lv-}(e
zF4k=L1cX%*^4InokP?og6*z#c$yoH=0z(9F0=?@;H?OSUtl|WE;o^gG7|N{{@NV-M
z8}x1r91$)sK*LP>&JX45sgvlm@Xq!_B3>TbBSE4%J?U`+Eo=}0^F7;w9^P-gD%^*O
zu%ALhOx->1+jkX;*!fB@*W~5J!x-%rWd#+^0ApmMg4t6!o10H)!@7<$_ckW2M2DAa
ziya*tG?`!-@e;<^{kpn3YJUPvm@@GJBJ+*J&{kcw*-+(%PhGQ#e>O@Av!$5-wCfvy
z_@&if-OcJn`#E9aV4t+HJAjee!U3t*FUDLB**<ssFcQcHqcq_N&&8?_P8r51Pj{ZB
zk-q5rIQWIiw=$?_c01E#%4QfZ%CEQUZN^~eN2BA(Sip~-SKMok=kXXAJnYFabi`?P
z=C6eH4&E^_a<-2L2d+HJDn1ehM&ojaNl)B|I}f0i_kdI|6QE}hNMWReo^C;{Ek;ok
z$R5;W*e3DvaR3dm<RTN$O9N>2m=QP|q#_ueic-Ds@~b0asMwL?XA%%*-2pubHF+p;
zXlN+cuNojIO#!F#Vu1}xOGvQUMdVff7G6keBm#i-?zb{#6_a}hYpX;5E=li~&WXbJ
zEtbum^%!x@LTkfeU;3h_Uh*qsJ-(OC>?il{i;N<#Co|!x@zM(xUMJ}s*CWjatOejm
zfFy6FMCkldW1Q3V?Le?QD-u|IBe5YD9y(}gbyFaD+kqqqlWyK$U2!W0rhlIH1NS_i
zV^JDcq5iE=lR$)CK@VGI77Y(=vBYisQHcktf^Txs-QnMAj$CWC0MrP{`V8P1;N%>2
z8xtk{n}>`tcZK+%s#f3j3ev^u2a>V%<vi!|ByLy#pKFVG&FKG2ZE*zR3XI`5a2<I>
zCEOl-GpqjFsIymFd>N9oyr$?lQ5n=&?^{BSRFu1lV$Eq}?RU~Z8BC4lU2tOuuz*Wr
zh>yDV%^@8TtmRnh$#ut<6+r3!++M&5E~-Ol3Y7uHcNegnE~7E)Po{~*q&3fR=||=^
z%sqTPIB!Bpd&SQ92^zjh5Pb@KTE#^Yt|0_;_#jqe(N!utE5L#$Rq%l3l^dzzvYh!A
zWrnjxM?U^Ng&}r-@EJJo@r&2hCoRdySl9rQaXN%N`77b(JdZZ}<v3WxNkE2~>Z6ev
zK+$?49ja5^Fp&fFkPYUcuIPTkNQ5}d8b|@W!+jKAjA09+n-sJrT)ti@O;{yaD=9I2
zpT(yp#m|P3-}Ua{$2QiF<O47pSPOva7;r(C*JVyflp1)<F8c}V(A4`iDQIQO&v5ew
zF;)sq8K9(}RFKkleYqO_X#X}s*;Ec~kLx*23Ctv;%#^s2m%j?1pmQ`Q^hSuF&)PPO
z%Av#$AG$Jb+ZUJCbPHp{+o0%K2mBn|BBnCYesEI{<<E_<5PAr-X(jlG{{*|89RE4h
z@xMZg{P(^8|1s(>imK`J|6B}YJAD+qqP7&n&hDp}@&<gU_pn$|-ZyPwj{Yc^tZ{<9
z512;4;@%@TSff(YjAr^ZG>|nNnTX4?*EvOs=u%^O<Yds8WyJLzKpvDSRk;!)o6YaC
zuj9)(+WYR<!C}gI3=d@WL_nugIeT_{q<!|B-?_01@QG5%{E!$00ppPw%Rg*ynJrL{
z0YERZ!j%DigaDu4gJbCaBaVg27)Y)q5V+`~%FF7bf=f97JQ*hI!D&K+<0N>_zjR<Z
zFqnDlO{)6f1%{+2UG68^UbMgaEe7nkwC#aQs6VN&6CCe{<z6N%k<?Xnk4J`u+n5er
z3`-X-FMKmu(s4XvUQ=U0l&C@kJzNVB_k{=q`fpjJ-+z;3ymzZ;_>#QC&@U|&DC8Zp
zo}>>1BaU=C=e4DPAIUfbM2l$vuzXQTxR1b*LubM1;H4A~x%w8*iKY7JO6zvydCZmt
zQ2}35RaJEcDIBxC1*E$oJCoJFn0|ExuKOAKXL~tzR>&2Kbu547@yG&D1-M1@zVwZ9
z$}|8&0aa7t5C%2sKe?1r<KGvdoNkcBrK<ZKpupyrpTomQIQJ`!BbWM=e!x$Nv3F17
zp8S4)P2X66g%p86OvUv(-!Zs<UrdoBx*EE#3RLE%{Hj_Wm6ou;ev8CU;IDLiVq$dl
zV2~wth#PVh9<{wj96X^}DhHF5f{*B%XFl>QNe+2BR}W6Ip9|;ga)<>3to$FTcmfX5
z`p)>@3#aUsho49EhQGeO-%&cNpW?o&$OGNs4RbMz>dOsOkA~%1$B)ep$uAfm)<F2$
zm;yiX_UGcioVmJGB<1+x`bA>lCVAkoL<%xv4d6Rjb1nnuB1e(_H@m+c29(;*ff-*5
zNw%tCwIJ0eISQccz5!Lw?Rz~~Xxs;e0?dsgve?C(C<wKyDVA3Pv>8)bD|^U6BCQ)Y
zglnlb(ZVn94%R8Jz~NaX;W{8jKdFr<I9z`55IR!aA2h#~<TS=IQC)9tSm4!Gk;7eV
zkQ+xhqx2_RquuiXk~NgsmecnXM1<|4tRIjrN5xfJz7>GV>zR|S16r)cAmp}T9YU;1
zuZ{B3>LM)C3?{*&^dYh|uIf5gj?ek{nBB*)cC*{?#Mxe}?^AvK{py$kHQPHyTc2_B
ziHJDcU~sHb4oO0JYS_Ms87F!}Y*8|4?Ml=`ZoYVR<~#ufsn$Z#R)u@!=Jhk*i$UQU
zqb3tILiwq7jPQwZs2^b)rtd#`M~L?v-;6P2Sm({kNU@90hw39UK(WOa_AkX&&<4<_
zT0gx4@RBLdc2Of*d|+qf%gr569p*$X=xF+?|9YEOOGS-%Ht^&fB^>+ju4Y9s*CEY@
zAX->xYf?C%*LYu_G9>_<^X#vz_)d0)-n@zISsAFXzycapneUL-L;up^t6uv@QbHmC
ziq(WJ+T!h9WCT<1qbOVOJ&%Ows622L%I5u}d9@4Lfw1M>Lqg-fSkgehTTwx>xp%6a
zBJ+P#E*y^jO1FlHIyFKQmqxXj-c~5P+S=nY^i9mUKcFS9D;(~ofA}KK+x@%8E?}<d
zc<Z7=Z&-wGUcY($*k9ehWt*#)34(j+zrq;>=j7nOH+Cw8@MH#TD#N<s9HL~I2uG|>
zTK%Y}dc%9xa-Tc?4>=s0yU#*R&TpMqN1WMDxSm3GqZdj7GDo|zd$^-!THx$xKaf1@
z?lJSM)F|buSh35do(^PZ55RzB_48?$V~r0lP~UAaez&nWwcW3`H^L&aH&q?C@O5u2
zq|um%M<f-)tkXv9@x3;gP&5;Ae=B3WPTZ;M$JE`$EN{$d+(`1t)$$E&FsV!L*e@{P
z8U2_apiVF3n1PWqJ%lMv*8?Os4N%)fRycO2NQ&$@Nw?0KB5aBxcZQTMp3VNT@u}aS
z^<idhZEZRL3UbwIF`g5g&{6w{8U<ixfuR6o`Ui>t0?Cm24d8}E7FdG-JRen?mX;=9
zSook<CJo`nwm1e5<<I+w_a3yxK-mMyN?-s(;J}^NBxVnV%4yCNgU!*|T02GQ`##VN
z{@jZ{hc($J+4*#o;1TvCV~&1a&dSwY<9MTcv*NFFD$lJ?Sv%V%IJ-t0*EWta_nD^i
zP00KIND}ORBPa|RVcOaP_6LabfKPM*wp6zhSz*EeMUuDCa&0<nD%<^b%Sb>^QcNrl
zpf=zY<zlM+%H$5MYJIJvV0fxdhQ-HsHt5m0S^u^pCYVM1ohBN#`PP7@)Wk$@s4dkR
zvEN|SLuul3u~^QOu?7GSC!!zXvFGyh^7hcE=$%OmL&F7ilQ=bSj+!o@FKGmHR<3M|
zT@ZhQgOH#gEl+HFBmg1xNPNtp|Jd#ynXu_sF&d90s1*QWKb|?c+91D~pwN}Lw2<OV
z3shs3^vU(H^Kkael~qJ$TFtRZTj<c5e`S4vqi%G|SWvlqaa{bkkvDOq5v{#mEsZz0
ziB;u!=Fz<UUXgT?{Q}9Lb;M4{5TG841Gl*bP2kU+Y;l<Ww=E8z**^YeQ-bxei9^Na
zV|9Q`<ZUH^8emh30l8Z_*uc<ma(H;yM@x{A^aSM}?sq>=fB9G@O8iHj>6LUpb=|>+
zh84R>(CZw!7S__@GTOz9iv;=9LF-YDG3Gwj(*7Vae8s(?Ln9bGn_ISi|9a83U(Rat
znVNc2YQ<oTdIrjav3Nr*cBt-<8*14-=p(`-*8!9&iZ+fo{k=IX?Ti<Xk3G|4CA7va
zehj%Mg#PiIqAIKT$M9L<__ThZPhFx>oh5QNW`D{wi*Bk=%)XLajzHYEJJsL&*wMZA
z0X5wGUIpFh(~S2z?P;>VBP(P_dUi;&<DnAW8E9EZ`^uhAT3g^^LkS5`1ExuAPpkwu
z<(WAxO?oeF*>=?`79H8H`fl4#GsAay;%^(+wPiK!!FRk7Lk)eQBH06(`oh)To&kFz
zc7xefwSj~vk|Me0KF`JMih&AT5WGz<ietO)GqpzPgS7q)aC}?EIUhj#ul-t#gTBxV
zs3xs_9^KyFcIdV(2Q89wGW#e#b1^9+-+kU2Va$86;q-V0X0e3wLs1cg>f3V$DPpBD
zK*D+pC!&R(xk$~P_Q3#LhJ34^7K@i;24rVhJVMWe-ngJM!En&YY2~_`RrmPm@sGJQ
zAvF{n&!q$|$T)gQR^xCBm!rKme$<E)<d3)7(7bnLVA_)6;yQ$br*=v<-}V9spS>Ek
z)ToUze1^#mwJweHD31a3oReljqr0KS)@sE*vICAVYManl?jwy15BLx!PcG#QkEJi*
zBg&1;^&sq>T=3<Q$v)5E6eU(P3&z)D&Jg<!k2*fYE@Y)j@9~*K^ExBOt(RYk9l4hs
z_TO`~#bg{(zomPCRA6#cYI(F_Np>SyGYGY@yt0BhCER6wqr~ow8w0hr$o}ze-?+Q2
zK@44}V;G0xj+K10$K{uClM3?a*8vAdQXH$x+^po7V#xXw;z;pKvXTpi!)bEN+{Bml
zU1fc0=UO0J$m>>yJH+{>Sw7RNP$U?NL~U!0g;WFEz0Q4N7_NNW``(gnptz={M*5ix
z^G#sCQgot_X%*;gX=!N{uqCX6;frxo6+rwR`+eE~h(^0-42G>tA}477FtF{i;DdFB
zdxDIwX-H8*mJM|*K0()GnFsQ%w9F-wn}X9G<X4q$#+-BWUj0#M>g6^lBoF@tyDSu)
zz|pkN$<vd4-F>=|S|Qj=(m8lp(C=CuiHMdZ4W_3Bu4o?}(W93lW4t-UQx|*kGy45c
z`VNNb`T^MWInyjFNcl7;AlqcAs<;Vo3ybn{a?7_*FJ5}xLUOBN1NOz>Jxog<C`A8b
zILCN4tTU7V9GGpT41n~Z-L(SbEFFLr$FXrKCsmk?;OXsc37I7I^>2KsWiIqxQ)oC=
zqgER0YpGAquB~Ys(%<;eY`b2|g-AA%+-@AGn@t+2d+bCvq)?IAjhnDWDjx6uG-)>f
zZQire<`k0*%DeX>VtSu_=<e>W*V57|`2@5y$p#CMURR#JH9cl-Zf@iRYyuokxd&9$
zasi9BTi?J;RlxNyO<Q{bM=)R$jr{G?(iK%z9IVO@SYZJR`#UR~oJ4m1ON|HR6!~te
zxqHU9hYGa%>hftjqm#QgVXa0(#0p~rGv6N%FJ!d&FJNXMTZ@{XIDd5uoDHj`sw>UT
zw)y-(Sj}+HBDJm+m7P7WeJ((8FlfuT+_u}G$pD5k{cUFKwxlCsUHy;Ev&E<5e_0=i
zI&0G;@cV(#OC2Fbzi&YD#{rtK-<J(|DJ=fnkbjS=?#~VS?`VCve_zg1X8zZM!*2Zd
zga6q0e-~32#QT%~>M~t6&$Bg$2>(t9J^VdKQ7UT(gc_<B``Zzg-t5#$3ztyYCi-(=
z?-=a#-)WfCU4yHoJQ3`@^8d(x@;e}*ZpL*!8(p&Q3ua8py9leRA88)1;c$l~o<Mn0
z{$rq?p58)Es#7h<$2-FH>N?M~{D=cVufVWq6f(@znIL4!06Q>?*qCpEG+hGb82V{t
z_q>}3$mx`J_u|%=ZVmKL$Mi-k%s%@c?JZ^kh2(0XXCKLTHLRpu*w&96r2KUNqBv+O
z5fF|$0LW9Zbr;7p`#RLPiLWWUzP_Hg;8rtB#XS4sQK^qn>4O6sV0ZIO(@LnbgoH$$
zqtzI&{m_U)>4jL(SC>C?2m4qH9pb%&&2|@0?s5)+g~S7o;Sn_ZBsw-YXgD!8=5K#`
zCO>q@!^5MF#^=(<$_IiOX_!UvtIukhg2~-OS3<rYr#MKFgs-51SgzwdT9L<-iE*Y>
zWQHAJLdiCx*yV-Ek^q3KO5Y06`0Z>dDLLjZp94^ap2G8{VkV}M<HgEg5d|-~H(95t
ziOH=jY205eK*r;#{{A?)qvIj(O=o935->Fm^cW6@Q%t6I&Rd+S<4x=o>R8-LCDHAi
zpMDMqN**=Bl&FQ#^9iO=Z}rbVF%$NF6tVG&;Y()8gVOh;D-%_JA_?DPlcH&W!cQYR
zpg4K7637*WsB#!_yOC{BtAwNRCcSKGi#;4y3k+kpc2h@3Cq&nWP5A+{@~3<tigkW)
zzVj!xB-xTV+u1FaBPU2y{%=MZGAJ38KRJDj1s2vpYhoH%t`n$d*)r;CtIze1&Ok{&
znjDC#4MMFx$`Kp&S@qO^-uklmgt|o98;2ob^V*7>+S>geOtbPK&7s{*uYjssP)V?H
z7{iw**2J~Xa$UCN@~{XHW;M7DjV5&hG(D%iqhtN)-2mZ4d9qJ3tv;@RFS-IRRh7(A
znDO;ui8<QKGDW(^b+#4nW;Gq~{Zb=VLZEL<e56@DZ<N%Z+vqae8X2r!(Ab^sZ&$hM
zFIcpODubs%@B+sTuCt5S<&xRp<CSlts+{Tt@_B-Oh()$|ApcMzc=YVztJ2|~Jn`K>
zMr#tyN?m8CatEfQiHdGt2aA<WCZIO%?J=s8hwma;RS&?f9cw0K*6lx_9C}!AsuLOB
zEQCSXA6WH8U=eoP^4`KOYrs4SDg}0aCpw(C65Ny(25ub|dk_wAA&@ZTnU@WuLd(V=
zJ75Vd4;2C29Yaq4j6oQ10V4{10|RrKLQ}LCj_OMP(2ylCOF^QX4=l~i4<~_5@lKo=
zt>+92Elknun92+1zkG8<-8R22Poaie<ViJD)lIgUe&HdXX2^LBd-0M+=5r04_j9F7
zDg61$AF{T`WA&{!@XRSJ%1aONvGTU3i=|?6LgAOz31Jmtt-)um9uz(hRCMosuM#{A
zETgsnMS|(HE$_bitQ;sp9Fgs69wU@bS3cbt0S+R>fz!tcK!M&ABCI|q`(UUAmjKNR
z)mtFt$$S)%Xj?vVd3Ca$6bhihoVB$zc~(}|MQLei&hL1&S1mv2u0E?OwUEAlwbiey
zTz{s_Jj^_f<3-Y|`cfY@m(~|_*|*0hAB@wYs&vK1CMua^1dEPPZl_x&wWq`3JJlkL
zi}#=FJcPm#B7~zTEJdMSY4tE^F^=(z+NGk?h*0R^Fd|~(sGUtm*H^PTgs5}X*v3Rp
zFBakCGzqNJEFss{QvphDpJ~=`x*kmCe0nC-niAiBd)wE#%zyFm!uR1}ncRE40jxfx
z=X9(b=5;=<1`!(<u0A7{m{cxvgaARvvLTQ}&;XLAN%DY)g~UB<V#D@RSp9W6Ab)kD
zwoQaN@Ck`~L$=Y}8VPlBMMpixzTKvwCAlXU06~Bd+BGba5!wZf=8<+&v}qZJ!Md{6
z^73A}d-AiZ219i+O*(zcI{b;OG`OLl&4Zx;iC>S<5?|l1*pKa)zYwjk*{XHfOmsoT
z3@L$x??69JPEJnopy{QgrSZ%@M;mRN$G6M;*?|4m{e6AqlCoZFR)NnMv^Bh(nY!7|
zhJCplI<~cUPzeGwU2UKdhA#^ZQUD15N##UyH4T!Y_$SxU(&^)$Hg60%)V5+>uK?<u
zJ?uU~J!!H$*U?1sf2;_rBf+525bpM;y#zf$#^Xy@04a?sOJhUBk>>Ol&FfqH4M*Ys
zz#<q^|AZO|6yR{=&lo0Y-gMhG9_Jg?FZ*1Pkd(9mCJiBt;Y&WMJ9mE+@Dt*524RX1
z`T6@BWj39RAPFg{K`99dGiGHOn&B$Hon=dUX(wPOeFVdo4yM_b6PfgTs-7p5G#uow
zS{}JRoGSgbP+&0DH?mAF3I2{yaK98UGG`494FES8oSvyWS&W1e1pwNW!1%glEOZgX
z3M9l0{l_W5foWqZq0km!d`+Bpt9ihCk<h|)O!*l2eNpVot8wLbF0$VNiytK)wZ*#8
zCX#Ui|4&9R;A48WZBgurAW|(FU821)_}7eLeZtd}k2EwoHyOTk@<Db!-OM}H935gL
zV)kjhZed|z^60VzFlb=Y|IbTTpV5R`lGir{Ht_(HNBaQ~4LHMDKLQg=e;NtcbW|%<
zihccSSAgPiDbp;q@~<S<3uO0|DYGW%aKBBj2KILy)-|Z%xhE_nBy>!DFx51>cQBpp
zk(!e7s;ROaQ3#uWZho)2`c)D!Xhvx!IoR;KvpFHv_c~O9Ky~lB-0#~Y6Y%LvpPu|#
zYr_)+?{!O9M0{{fCE(fr=BZkq#~=@~p*a6*mmF?1h941GDE|H_er$*@zB*vy*0NHw
zgynqlllB9SD4W8khm*2%|8W+Ja`UIjPAQmTo*U0@ufc#VF=WDIRpkDmmLTWs?T<yF
z+R)-dhs_<<*b-9Xq~teGV=KOO$LXNA6rb34Wj<Ox^JkWsY7PmeaH5n8ji&AM;#hw;
z9eq>Y1+xD9>YAg%Y~<o(>lTEzNt|~8Yff>%$Gn(fJ)TXQp%G<QI5R09xNzNl@65W)
zN9tXrX<Sp`!{XF${?6D3-oUD<RXfEghF?prZ;5il+)jCsq4`*V$OeX{D3{TiyI11P
z5_Cbemt@MO_QYd{OhdVEIybsst*L4ZwWOzAWCSVYT)amhrp@h?G|7iv;u_ar^kH$~
z5%qtuL8^ub!{y7T_PE<uhMF|^!d_iqc2*!tW#DHl@10emmQ(bt|7VxZ<s50M&!?4T
zt)Ai|(*w-Wlu^hQawr!mRZZ)LyEEw@+j;^lv}%csWgE;*OY<4w61V7G4I0MX-+<wA
zvQ(eQcBx#rKVC>8t7F-<oNj5FBDY-e?w*KKZVo0_qzg#Iz8ZeVrVW=wu)Bz7f7~)u
zFOXRYp$WxMSiY<1Ak;qG_hWJ4a=DZ}P)bkXnp7nXvOJ|owMuT!OZjGs%;I#Rb^{0A
zXSTk&G>9I$f57{l_8?UE1uGvV<~8r3v>f{`=iAaL&sk=K4Ca*7b&^t!2WAW@mO*D0
z+XWNP4hd{yIE+}VmxljMby4cyPX}DswacItk>{g)dzr^knDxgfAU|#Sr*-!l(7~ZN
z<$>;YrWmX$sj(?GbXJ;K(bQjPU1&P6={7C<8lm#=`g+iG49YQ7*Y~LkG}WE2D1sgD
zbD_SvH;A6hgfCutm+pIl*#*A%^kG2f{FBOpo(=MC2L|+TO1-KPWTDOHAbkDsn9=8-
zY*BOymT1R&!57c&@fV)upQ>--c`ieou=ZCVCGs%6u4zg|9#&I8ZdV|3D!vdNPaAV>
z@8Mxg!5^v`DGaZZ@N9OR)U%V<-<MDcv(@Pk*l7ec3CB^Nn|~C~u{9xh2Zq_ZJ_q5o
zUi^iH{GUDJ$ZI}tA3r{vnO!~JJ0#$la?DZNuE8OTbbU@V*_R5kHZ-V8O2!t)+N*-n
zX0rpGv+mPLfQ+{0Zny6%3E~W(=nL0ndhTWPIUiRySFBhH?9N>sWm_dqK6~)=&-{*`
zrf*JLX}soH=Q{*FB#=0AQkXx|wO8RkTk3G;G>)~35^!8;jnX3=(4|nzr;skhrwwdF
zbqt$Eo@R4t)?@kgtM+hN;gQMC^=yv)@E<yM>)}Q0Cr$h-gv48YyeF=8*j!`Wj<DTK
ziK)vUQF_BBY|84SvUan1V3EChFQ!$4H2M5ONanq>-p<sF6kEs!@%BAXfOFbmv<-)7
zm0ZKa7qir)dg-ghf6?!BhBcZ-=2dT4elv6D4u*Z^;E6T*^}FWQnO1b})DC=n%tf0l
zBW5+TJyzg3HNsnTBGEwyby1N1(l((amDF@Az4z9Svwv{6*5#3hJv;F-No_yXX;4do
z>IL@Uo2}O9ptQqWU+3mP`k8j@xiKcW@$}B09K}-D2hDrtjfXQFOvLv=q~`cXGS+`X
z8$5q3-XT*=Gd2CD;>a;eY-XzYjjtPeAvDOtOS7x;k^ZdRL<TFJGDyauQ5%7{6xYhq
z^R%g`{b-S??m$^`J<K{-=r%PrT;gv$)$$A!c%Val6!A{Hv@!eQX8rkH%IxzLm4`h>
z6kDNGR+1M?AC6AhPajh#(y~oD7bcQPb6ZY<4g$zw2SOLnC+;3ha}l{U1%%M@hFUaD
zi1U4u(u1sr3v#2ScQ<pa{W;d3S|2pjC_L3Inzp;oKegWD8g<|6ucN0dJ5f|!CpEs)
zZ>ysINj^DHGLh9(9!n5;fAQH`mVUX^bsQ(^Vu%z<rjZm<9{M`8Z9j5{>unTPy+2#C
z&};1u-mzk;S$KM&{iq<spO5lG%bX&H(ju+PjyH=P0rtLkwgMe$)4m(%Uh|p<aq5^d
z+rLEZ-x`0_q^wS6FOY2|t^prdZi>&R*ENx?W!mL;;mHnh70Ld-!7|<5)JuEVRKBsx
zl|4|LslD)B3qG(m1$NiT3TV2s<|sJTOc!VPE$Gs4%(#XC5Ea1B>Al<J2Gyj%#4Svd
z2w&J&Qb;Cwuqu3Db3u&YtCq)4JoOuKN#Ft@zH|$(<|NZBs7gvlrxd4S+Yw+Db<U~d
zcHYr*5-EG<Y^bxZY-ZB`@VQV^T^c|itdqC;_1@&ySniA0Zw$KN(-qNtl#5&gN9?>s
z#K~Lpe_amxze4qN%$`-J|LLbw!}Gr5|DH|KAGozF4az0QP%h}5MJf&911vw9DX7i<
zfv?y&Z&C8emZs_u7&RN7bG?|{ttqCd_^Ie$D3`K{74BX4vf|2i@s|GR_QK0jqe?`>
zH{efRks^hq^~t0PkQ_M{u;N&kd+YzEDm4~|z1Wuc2b;pVyU)|%wX5*&^xr>}k&ngE
z=&@P;$pLfXC5+aEHL9kVTole>tDFt+PyXE(Lx^+MV^Yr%wmC8le>gEM0XS718i|V_
zYkU2)qDZSMSkv`ioiPMD<E&Pd8~GlW$vu{t{Xc$7(HdtzO+KyBWC^No-v|}(5pT+k
zJw)jK?aZZxmZ`>tgVT6kqQc#aKYB773C;<L{w&y=K!dEj@n#S1z-`v#L#B4*IYV;E
z1wzV0#zHgy)iHi;nU@Tf=4-|gg5#!Z%xX`e;?p=X3w6Fv5b+TL`N-TsW(W*<Sl^^e
zRf73T`>}*cAlAvpY1pU(ME2yy@Me~uNVlhbrjO#<68_D6m+AsJC|N?A`5>COIqNjX
zrlO|X)DJcPz5%aucbmrSq}OBT{-l^tb>mTPmOu7_#)7*q)k)6Q6^pmXs{OV*wj##1
zX^cugdbak>4<K3jbrnAP@y^pf=LR2u_rjs{f3Wx7VNGrCwlGCSv49E+O0iG`1f)oZ
zs3;H+5D<`#22pzNgy2?WD@{W0Dggwf6MEYsLAugH3qcVugb;dw0J$@k-#NED_nz;3
z-(UATd7ix=OkicLx#pVleaAcAF}iDyTw(L)2GLSiOJ3-Mm;ahHl}P)Rdib+dHl}JO
z8)jGL4F+A2XvyCvG@zZzNPbK@a0Y~~kp0Dyt$)5D|64-g0dk@pHB&n3&o6V9STefl
zms^?VF8?}vl&9kHniDm=KN$F!LJsbzszc`HLtY<#ml1iWz%xGkCeTXhs4BYs=Tv5v
z<h1+V&ASOLz5Kpz(-M3vc+!~j4*c_@yq8ANoDDLeB|=nU=at{H=k786=?-@aIW+r;
z^NJGBrp^>`CM8wWI91G__VNw$G($IIFT>=%ZoO!PK--@aQXdWI*nosevME%vY?`eg
zHN<;DDb3uw(#sOBkJrewEo<hyd2|0(<g#11!%7kW!!S=+Kx8c~kMkbb-%<~YJp2U0
zi0`nk$O3gSP`FVt2guA{T+?$8A|+WC8H+#7t>Ss#yGSGjF@i|SQ7sEES5^P(Mj7r`
zxIF4ALA)%RgED*jRkP*!ee1#}`pjLS7ef;{+WF8A%93+9ZnAB^lzRRI3o;{n3k!=?
zDU4e?m(7uGCOt+85{c9(pVY-Gzm&S#2ci9ku{4KHN8PH^Mx9BhLpomj-QX|byxua8
zdQ}=~YXkZokNE-wP3+l{sI3zy3?M*9@;K<QpZ&-MInuyVb4-ErZ#dSjV$`pVs{(Wz
zY<q)b==ex#*UV2K4d7ZdXf$IftUX$XVYV-e_C=O#@auZR<8AJkAKYRE^_)XH{O&SK
z%C8%Pjf`?c+tr7U9RhXJwpfb<ZJB56YOJ5f$LsCD7bEt8TuR46Eej#JBsRreYw7wW
zRL6#C;xpva{*YtcO?2$+hw`hg8NEm;>*F{4aiFQZPT1S%*B2_q-<mRxS0lik%6D0p
zoV1^i1E<U$re%osS044(bOJ!9FtgW_tYV95*Y?nX<D35FS)lQs{l>l@1j3=EoBj>b
zAb$k8Tp~xF_|NH&Qa3ujspfv*3X4DA61GMEiK(G^2lX`lkiFoLut<FOjAzVu&sx=5
z%f-6w?d@i$<JV(rmqXb<_&i+)iL;xoZy&e&{DG<WV4Q@T+NCfuPvD^4JDB4&8oll!
zg*o{klAN)0^w-0d-@mZmm8A(v7?^U?ibfPV%NVvnD-O8j5SqVjOt62bRrX!j`~;Y>
zHl-jR%zz8uICvO|t7jn!r1dODN-?Qa(3SxtBWY@E41WiXe_?7BoY%f7fY-HwQcD|1
z^ZE7%E9MjGC40`+?`;!p4y&m4sA<lK@fYMO6m*{MKVRt7dw;d0d2gG78p5YWt4ePB
z<O#;#-Lh8kTI?4qZr&TI+^+YeWJNn7%Do%!#unT+No|&KU2uj3Shc_7JAR(GKT{@q
zqr1y!XLR$%cx#@@pwm@l<0cBP$45MTX`84l?A6WwAzLT$a;>j)``|OU<Y=ZA;k<Lc
zy+&#(=H!yKOfT{IN-hWWjDb*GZ8pGkO)V^_g&>t~1RU!jFl+jvq(T%in;!sp#m^{t
zF2L6O;2SxNR%98hbkEVzF_1NkDZW!d<^JyWx-yYS%sLt@mDB}4<$vy(yMbC(^O@J6
z%fj3iH->hSXLthujSuV}SVFg2w!!fz#g?_6R0Z<#TdrxHb}!OR4jD7)0}Tc4IG^w=
zjvJen=DVum$|Eeys7@J(#qKcs4aeP~hlP(RlEeb{tLKf90P+Ycv_}mk+%;J(v>yy-
zHw-#Ri5(R^;(wL1yW76x_9`t;<Ki=S7TXpJvt#6HGJnXKgynr`H-`S(mxZoQxi~m%
zdDBYL($eZf(*P$aq<4cfj^Kx>s3vt~r1s5KGwJWEKmTm(pKap8!UC0#uk@zde*&zl
zU(^4!OE~%;&GCHg^aNrk`i1?;nJL8<Y@F}eD^o+4qJ*d5@<ye;Wcm{Zh7rPlqedFD
zsbVX3?Ki6S)ao=$MS8T+OLiKpRlOn{toQ?yO`s7?^R%S3B`0j>=E1MKpvF+gVhaRI
zlHBl3yZzD8(bWt#T*O9iKfh*lL4o7&y^^$dp9kP4uRLa#Fn&3vSygQ)>YDYk$12F?
zaIgR!9jq;@Ai?|6q=*0^q-eSIu`Ll=3fy_iY9g4kTCcb^&repfo0>VW*3>%TAJIJR
zai;zA<QUbAto_!p0Dh}g;hFxB7k(w5znV-S5K_CBWkod^_;sz-N3Xv`NDd9kXNFP=
z^ZUNB$9CAgl+ut+={}j20#=04)E;}r-iNPV34v<7;Zq8z#vA-cs_`}(<w-dCVW<Am
z!ewWo%)4(7>*|&0O`2DKp@lWtMOxvhK|ytVx3?Z;zcR5gtX;dIp9(qssHAT8UB~WJ
zvA6reJYh0rg&bK$FR2rp>V0u&!e57X;)|OYCs@<<MVyqP3`hG&EvKfGTeNKriB}8D
zb?3t0lZ4HnRM$|hX<m3c5Zv4aQlp;_T&9yK4R-lk4uE<z?dr2@LUA22vKj!UPH72C
zxjn1EwcH^sh514Iy$kE|Hpc%oA>J|rYmh^S^Eo-Dc;=jXUg11iJ^;3bJ&)1yhlha<
zg5`dIrY5V>c2={jOid~3Qv$Y5VBNkj<>KnPc=WvGfjh>=>(dXxqN`P0=<@h+4Om=H
zmAZf)ie^671yCj8KL0F13KL;kVhu;&m-in&rLvDBqV3y<CRkUJWXXZdtPVR3wCKHG
zOMCyCY!TDsgE9pf%;qR4Apzvv3NRodKs_7qX(p~anC(P^2RKRE*2jfj^@c@a8T05h
zZzS>G0KTIQ_OJgvz-J1$Nk=UY1ebzUzyU0fDZI+QmP`x8#l<G2#`@nOuj~-d`%sFO
z_7lQ*=*-0iAziSgGc~YpN={MYGc`8v9lWo8@au;ZnMZuho->`y^A7<~`|t2RLvuX@
z|I&-%;^LFT#a7hzuNW{E3Y;}Sb)mr*$Xu#E?IyycFrZT4`WUb?8G8SgQu6{!SB(B<
z?jMlR%mF)<u|N2z|1?*zS?mhW^OFGKwYOdUTb$*wqob%{V8L>7mh(h^zo+mOOI2Kr
zeNSp(Xdz~-`ghbx5bFt*XWrqsr{xev)R=1cZh6?9bt(NjF{%Y768&qd6Mzorfk>}Q
zB&>cMG@#c%k$8RPUSg#p&*p8<Jv8*}?{KhR0cG}-;)W!FG`R+Mw1IPkbtl>o`X|2t
zA9F8dCO8AU%GGvv6u}tHIGOTo^VdB@$`*l7)vk^%lKkE)kJ__THbO?56#s-~0uJW%
zC_Ct}Ic=y8etmJ`e6ixi|Ng^9K-*dLbM`8SPli_M>sKlNcgY9y<k5}|R7iVMk~8ga
za@+!z$wq4f`|r~RW08&ZRy%6oRH7Y%cj?Mf@av;BCl$hkomN6F{Q0K4_b)UyKkY_<
z`s~F+rG)@mI}m5z5+uKrbnQ_y4A*ivG|SL@G{~`ex`c62`%kuFoSfCXD2`>sCIs;r
z=4i`IMYZ%DP~1D0V_e_2FPhnxxw;&|{u{1_p2?PFp8R@Kdxm>49ku)?V((0Q|A#i9
z)N(QEQKRg$rCiTGm_QkqAMaM9jiupYfEIHO7+>a{6F+pz^ncwF-G{MrOd!pX)i`mZ
z<}_Hk&kM&ru)#71g$hk=a!`NM69kT4=n1W6=suvfZ-RM($&#U4+vCXZduj+i^5a{Q
zp3>~V_OUcEFYMntd+*>gj`q0U^Tz?i$kk_Sj`{C*7jQqmWb3);_C&m;wFSbcuj^s?
z`zWc2AYG%5?+-qHk0CvAfnvxS0y(<C5W;#{_21{GrA(7*$2Y}uh8ilK@GM1qpNM$k
z!}4zlX!$YUmT?>5(gTkfO!U6h{Fyj{x+X0ax&%gN8jA{3gPfu@7`NX~heN002qQT^
z-f^*t8N$@76HQ~icc5G8)1RE8Ki=4feOracUv-Ib>SIVdKXdWE;sbl$?3h2y4Up4@
z`bjPIwQMm*BhGH}lyd7x|IV!p9l=E*Zsre5w3tk_wm5=Y_WO20MRY)9#<JuwWj8h2
zA}=-Z`)J$s{6Eet1@7BCzhtUX8)|rlo)q^o2O2K?+H#?(js*%=K4!2qTnK<OC_FV>
z5{tS7a=PcglZ5^s-HbO@3K;j8{JH#(xf^iL<*<VJ_dCaQ@P4_wQ6Fl<=%(8gvie<L
zGvQxU6D8S+MCTYW;^n&re;6ew_10A+spnxvn5cFto7wN%DeG%C)fZYKY=dZu^fCyO
z`UABI*__Q$YT(vpbjykez4|aERuuUMq?Fw%U*KP0+Ib~xx~!f3;OK8W&0(d7ktrv5
z(S6EuDxqaPdDP)ZaK-PDiz`WXzF5lgn5p<c?>>pk1L=34{JYb_GviuLhmJ}2-QxW4
zuSqXk$w*`EJ}_xITl?+?*B>fOc(f!~jSwu+msTzBGXC2!G*2%{XxHL2J5^2_hZcD1
zUqhnKw`qCwO?$i4$9yRA`wXY>zi7Ll*)Uy_uSVEhD<KYy>wL`}zck@3h8y=|xC391
z>bBerw$Jo9V^=|l5drhqp-#b<!=)*%0d<^?^c^$fm9Ofr3fx6mvD~@L;lChb^Tw}l
zn#xNa^Oa<Q==T2M0$7bN=IqvGNs}AN0^RSSF2AyQOc%H`?;i!l4`$yEq-;$X<(n_b
zjv@S2!^E2v{jrRs!r_7XIgf(OKn^ebj#9a15A*99uhT(I>+nFnG3a=~dN+K!(CF;X
z>;|<=X9V$<JD$$aBfTBS+EluG)bPytHsas0AKXF?x7>FNU>?m=*;0ABU=;JMw7TJm
zm1#)k2RB#P;@QOO2T$@FA!P#|pn}F57wXFr79o>53xqe@HF-wV(-H3ihDBa+e?KmG
zQv4s8OeyeSVOr>?9vTi=I)1}AF}t|t*&>zS4zC|_9ZRl0UQqBZU@^a2jVx$4KN}yE
znjg{FCcIIh$rIAD)%`V`gdJu#MT%-J%-i=3;olG`;~UD8K3M)Abwswo#@S#;o3+1~
zi_^3YWiCg9QI|aha6l9@XT)b_-e$)f5(_a?fro&aHkCJc+?WtR+laBV?^BxUZ#*kk
zP7!YAT79Ky<pCXK9=MZ`GoPGI7+t>7rW!*&{e$Ua`#8fprP&|lea1-H15)KwCu~2Q
z%xpKO8rC|wcBUX2E@~(J@rJOKAMFX(^LtR`$rCCkxxw%{9HGyvr!U(sxD+Bj-AAkk
z+NTGyzNvfpZ4zEtWT`&K>sLnJ&XN+Qyu4nLeUAs#-g$>IZ@N5^L<`4ZWxYnytaW^?
z^KYw@vtyPw<(q9BE1Vq^^Dcpv{)1cf&vTd^UXG_o2;Vh@ct{NPqGq@Hcvr@j6Q@!>
zC4)r{b{{<9XZr6Wa9TZHnOh&RDT);-<0CD-U65N}b1hho`p;cfO;Xh9%jkB<E!cjx
zUu6bPe(N%0?hBtkOwCem@-Cjw*GzEmMcxfK7FG@k!qT`x>#z-u&98k5qQD^M3In9M
z|CM8=PbXvh4Ht26e32@$;HijbA{*|>_b&H)(VniUG^~btsj`t#b4@HAd{^B%an%C6
zveTETaV8yEU?|qqwz(K&GCleg+#Wc0O67vWSkupeV@>IPrN41Z#_2U&@;-7-mYa_@
zOd;%$Oz00+g-z45g|A+WmlgxkH;$eS*r5hEE;gjK?$wob%Os#Wr83JQ4hcI1TqDct
zwHU9_%V8F-dDC;vZy!<B?dEu|_c-+3A0Cwy80<}7x;MiEZkMhNea2jG^RPDUU^64a
z*QAsX^$80Nc~>ZZJ!H>}ER_l8$4nef`~t^6_1^OpYm8CT*bvc-_oxC&?HKb7;UXl&
zgRI6tfAU<!u>ECQv%<aWDwT1W;UOO;i3m&s!ctEz=Y+}(*T25)uJMZca9|bWh(M0W
zhjYX@_1Cjzd8Op%HUkyA_rchnd0L*Z`yvNXzR<9%cSEl0t6PxFkZ{JePxhCp$T@J5
z4@ZdC*_fi5)QggE{HrW$#qaI$Am&O0ORR`-!p<x7mBKZH(PF%t*zQcQ?WeOBGn(tq
zhIYRn>&VO$Fn;fuxO+$@PWqsfG^M8mhLO<^`DU5xddv%78o9{AhoZ!45}GKC1^Oz*
z7k(Z$iN18dn9u7Iwv%21S5`GdOxf)}4OzCMJg`s>qLGE^H}ibln|VTeVgMKyMU2tU
zae*VEnY$IXo-s=vd@>f6H_-GoFpw`$A)yq_1JgDX?0Pk7A~4&f8WX$EzlI(g$&i>Q
z0k+YtE00?va!s!?u59f@-XF7K0F2}s_RW(^8GwS7PxsH@TS%p61AyWsf!Xw&;+uL2
z3f;JW#sE|1G=n@--t6j@%gJULXhCpeJ*AY`*#`+YC$hUVVvJQOtCKU5d3q7DCYf(}
zx}Z>Tp~&q41=|E|k1Fz>7*YDsa4d+Jc5rAYKT-sG#?o96Q6AnWzN^S{QC;F>uYfSd
zB6N=(+)B|=qbADg)s|FH+%32}02&|Y+|%PQ6=tsTC1W7qUj;}L`~8iZTk{x_04;V;
z9k7<fv-<E@+P~p#k;_j340n2PXefheV&e1XD|vt{O57cn04(1?>IR9<VY34{IoQzS
z4_?`{S%d|@ZMwfe(j_T{a`!2`0QaAt8d4ipth|VNG$+AO5S`i{IhWq~Ugk8ZT3Rd$
zEWa$;Mc?&>TDu3bG{4S{|7e=q+wBx&V86&~;mY`Wek4yXxWV)1LtW&+yVNv$wM4Nl
zFK<o<BvUsI+MFq{($s9Pzj3gHsS2<kRso&Az6d~?dXdYmEkU8gP$L3`Oa}ZvD=Eyv
z+glN8xWU1@`>McQ(8qAmD)RFQ2qcVQVWe#OL?}>EMXcH43I(FtzVJ6YkF2ilZM}u2
zXwELRYNYF=VpTohIG)*tV5x@SWfV9gC4c+o1wjtirYKeX4qv#HKckGE5}!2px29wC
zeXmiO|GZ3f^!#+D$rqS55=C$@XKBFUaCkuMmgfmtD6<&{?3>q&ZUAA-1^87q17Q5=
z0B4PA=GQqnIY<570IYg^>8+(i^(DaMTl6F7gr41Iscq?d(&bt^lXx-IiU9y#AGxLh
z*8*Y#Nb;2HHM;bD-MmX}=HP78@>P|+W{54tv_y3(IN6}*IC&@SI{!ZTf9(U8b6r}-
zKY#wr4pS)s=)@i@Mpe$vqXh82(|K+rAKs~yoFEA^@w0?5d=KqmE+I=kV~0fo>i$0e
zx5Z@bse;7BMDde#Z`50wGpZL{|GrAE&>t`3;(NRG+*4m2DUjnlOX$nqCajK9;%q)|
z)z|+`Rr<sS7m(3M@Sz{=DZa7)tm$$4-M&75`cr%+!hw59?l-o=wC4fDN5%o&s-jgE
zaSEU?b^qvr8*CwygYbboYRNwvO2Yz1BEh2VEKKF(NHu8T&|KY8DJm**W7cEn%^cz7
zJ+r8=GV+K$*$QM5Co2mlP6FD1sN&tuJqEj&U{;@!!aUa_*xQxh>oI@69&p4ZnJ9hf
zimQh&qK}@xtmRAQTL_j*!*T1-JZar~?e+Eb&6Xh5e=|Hh91+?#=UIC)Gy)cR8kos&
zCP`QYaxBfDa>-3ECi<?Om3OsdxvW>w_oe1r8H-ar{79+jgvTiNBbSL9DRfrHaBt(N
zF_ljT5c!-Xl2yrL2z<@*S%CVqweuH@PC7ljU|gk`vhc-WuXkh^L{x#}y_I!wowE~W
zUTMW6HOsV|A$&DuG1WuURFlr{TXoaq+gb{jb4?$VQa{*i0XVWBpuBhcQE9%6WI#Xa
z6+IPk`Z;^%(8Pqwx9M*6gJ>y@2a!+r_-_F)K>y7hhU9VDCSaHQ4P&v8vzrejlBk!L
zz`(x^RzqB+cLbnY>d;PDSB4t^ObI*xjE!OS$vWsgBwN*b&TK4Czz)6<!rW8Nbjl$}
zJbT4xNZmT*;3JS=#sJa0e3S#$g6HmMWO{Svon8sVq4QEZe&A6eC<Mhho9}M`Sf>mi
zb5Wk?S5{U|D5g4X|Ak}!@EXDH=j*!xXB%h9v;c%RTuavhzLJuXK1LnDD2ir${P^)^
z9@lgZc)Iu3`;kLl1K1%S5HWiJ+_D7-_bhA5FBNH*o-MV|VYdqnDGnQ%{eu-HBUJZ;
zU+M6g|AOj%1u;76=8(M^$Nr(wVcqoaGCqH8^Iho7=aaDW&z5kN+v7SaXZ#=1-zv`=
z3GzDl6~I(ZF>Of<?LTR7jY~!BH~Q?N%`TtfPw)QO@4`9_E{2l<)EsuE9+w<Cukz~s
zlxjdJC~jPg!x`+yKzH$O%x?J7`>okPU8ne^RLF&AOM76~z%iEwZ>@AyyWv9|z_Ml$
zdb~^PNG0g4)sI|Hl}%sWb+Xn>wkC_{swzjQ`iWaNY>I=voZe2S$(M{JxuHHm{L~LD
z*0FR(9_U)}lA(jS`@dz%A|9nT&ZnMcVYb#~Ogl`%Q)5<bR=-qkD?ggK+QYTv$Xc@k
zxS_QGbi*|Kt%KB%#(k)1X0bob8n$66LHYR4jW@3d<9#!pRtx}$Y6q@GU%zB#W)_V)
zpPI6qy2z}2<a~PK;8f#%*^^rHw8{TN|IQzrhb<*G?KX6X*?RPPFXNS<jRgpUOAGS*
zKaZ&*ry^*quR82jE*>?vu|WvA-xrDtP>tM_E$7nl!TmuH?hH8YcT>yCk{MZUi#Tlx
zW}=U<%f?}204E25ej|wpsgNoFez${NSQ!C;IEp-A-}(CbTJynF{>8rYHKh4Hj9mT(
zI$Q8~zu<rV+Rx^KZ)&`E`P6BqW`=uB!2#<4lg<L@Tyg4;fAOa4a*3>yyF5OF2Cc=p
zMW7QdIC5EOs*;Y>{Y2^R+e9wggjRun^Id%ZNt}Z<i5cvoq$~m=7zhL7S{}Br(6M@8
zY!W|O25T2=X#$0eLSb*%Zv-G0ASMQn0kUXS`S^?2jf3D^_60tnhU$C!_+*s&lExs%
z{NSJqIKM>@K$_?@ITxj=7b&28_rJu}_#>&YzXnbA>g~c4N7Ws`k@r6@@*Ah`g~hto
zuzmoh%^lor|H+}dhrIslH2UAw{$b4hS7*n+kca;phGGw~v8bw6T(C!>1(8%czE1`{
zxlzk$E^+GBzS;tD4q4Iy$FtB2Q(NB@6E5Pj-r6AUUH6{iVLy%#W!d%Y#Cmbu`K%?G
zf+}MbwCqH8U_G0Y`upQgjiKV~gi=x(Ll6S_E=V~CW!({atKs*5>`EHdoJv%by1!>!
zb)t(EF|gnHt;6{r`ti-zCi))%3kMbFN7^su&cyGucXbBW+|o06;~ArD5?0ZRl<~dY
z443W^pAVkq^=Vp8G$bR=jgN}>?I?ulC%@T|(VmItAP0QDt<ix=igyk+$j{Y9qSDom
znOGB`oz%749X=JRx(r-j{)mZ&Nn50$*NbnJcSIxjoLmjQjSgw6)SJVaeN#MRvL*}r
z<lw>WIJjeuyo*WTfIYe>*br7+bMvb{FP@wnBAxHjyov9ubjHv4&yD%aTh{9p#i+bF
zgoUdMNv4N!GqwBxTHy3cYPkf1+w?>%#_9TAA`i$I%aVf?!}gbR+vNKV7tHL5UZw5n
zr!GBp>*6(9>5Ik~gp78uW=R{pQ9p+4=!=um2ysdq<AWQ%cw|~Q^Q8Ilx1-qgdStba
zLx!~YIH%HMq_#x!y+za^qyVC;-EnKWRU1)rYdOb9bZaF{9fX{rEig8^o-B|AN?F^E
z>Xfbilp%XvFsV1m=<X%%izhu3l&858EJMl!@^{Pfd<k>WXS2WQh{gwX8+fuFw&T&1
z*3k2aeJOd_wD*gq77{7hIP7=FDFNIcBudJr{`Q-vLLCaxk<*`4A0sirr1Ih>nm@FB
zgQ1s?LF1IkFA3u-&*bp#g||Nqp)5{`qW755kiAMJytUX#R*~RuM>u=88q&YLWez+_
zSZs7#)zMFkBn)IKleD0Q-?nIXmv>e|`Uv{}a6fbm@XOe7>4A?qWAMu(0L#*+_6F^Z
zMM|E0AZZPpIezNqGB7+xl64$JmMx!t(@7*NI1jz~=oO_c*YNHTWV0&$!(VDv<0dM(
zRqa`m#Ph<qa(8UYAldqSef?C`Tq#*>pxkQF)wO2WA~)w2@;jewzFWtu!q5N2B}`VD
zg>-GG$$M0cPa{#_okKuiQ?m5d&)LqP-o4%Qt!uA9%BJyVoU7Tp4#?IUp}nPg)~qX5
zav3JnPGP@sed@}P&X1`MB+70&V%IhNl{s|}((dfUKat+gjmG+g^#us?VabYZr+X6w
zuHtQSx-~88F;ylhG1Ub#O%T5fndaa-(~Jytk#(F6pyRr&iQM<oI)Vp?bu<d*kC{`+
zpm&3R4J&yjN(n?<N!r`F=&HN@8c>9%6{Q!H%QtoxUZ6l0q>mon>ogB~f}#lEPDHfr
zP2g)Y=Q2bIW>A?2Wg}y|8NdSq=nKWUbaN(vOMtgiz=NnQDpol&tDFFyty`0)x7S2O
zA^Nvw=17zgMNJ-|xYLVG`J*cc*TY|_+KtuL;)u<zXs_Lkk1hL)j2j$NcB*_iZDdVz
z&o$FLV$uti@wFPuZRqXIUK>hXZgJHeNFjoep<aI8WXaqKFN;wT$T#dik6aPxiTBQy
zvVS@kaC&Xg$jpoY*!3UZquI=zAY%E~`lXPrAlV|S^eH#^WdT>js8u*k7f;E0(LN0m
zw7Ni`fN?UVsQH0yUlExII>rTmDZqX?A3Pxik51VMR=gFqa<Zd%sE*|&(QyLNctctP
ztUv2tikd&qhSAj1+-i)+PvP>G4#{v#_J~gGRZ1Z4c3dsFM61*nqsingZm1Bc+9kAW
zgdU6S${cw&gY8|mV+#$8w)@WbFqTNoiom*eyp>dID=P;9zujkmux1B^EUF2bSX=W=
z*6Lq~t<mVWgqBd7AmXPY6fwyspng!%*tNg+YSm)}I(%?W0<}Pc00N?7{q_fCSi#+H
z^B_~%Gq{<#CWnFCFr@6m&iL_TAJcz!#%Eo|cnIXtY&vwUu_dUd^+lsihk500oph_w
z3(JD&EN&L3WriI~MIj?p6D)n-^ru0PC{_GYk2!i+?d^te7Jcy%-Ro~qoqXj&<>w#X
zX#U8dws=o>bFW%<OBk{+migdoHT@kIghDO}5v)+Sx-T@=b<pJt(Cn}pU9ABD`rKDw
z6yl#b2NjjU@SG>;<~uoo9+v0h0wQr8-PTRPTe*u$9#CvRre7Uu0BGg{2NcN#*}*x%
zBB0l%Od~9dK;?@-n`$~LMzCYGA^SbLnhU09QTf<l{#rLTeO@kg^!s7Q|LGXh9j;Ss
zyCr%Vq94{+1urF3N?X)1S^M4gpxr7m4j#2h@b^Wpbm<u^x5cVHuTLo&A6#A`dJ0FH
zcI2%3DPp;mHNZM(I={<Cf4|ciC*-$N)0ipD5UG*vx}TiM1v`PXE5Z$XIfLMGU=XcM
zd6DVvCv4JB!o@URAFM{k>*Ylaa`K&pojMC!EGjOx&IkiePvE6d>Ws5<IhWz)N8<aT
zmwGM^-xpFhEV}1@8!Y2uZtOrEA}38wXMQsEZL?R@Xqn5czFLORCsE+R-UUJ_k{(tR
zPbbo&C@DmKVc~dy%<E|Z;0LOOfWz^KFNE!TJ&KK~CeZEsvS)k(P3T&*@q^ap=5<$3
zMdX9_3rDD?wvuv}(NBSy$ZMl@9b=gz-sVL*i8@GD$z)tLj)LBOBRKEBY&??{Qt(nT
zUD>uq44QjR-_XzB*#)mQTriCW#nxU|*Zu<xKb!^+G-S^0@<UCvItgmPNR)Q!SU8Q`
zJI4*n^@Ri%HY*hqUCV~G``0q)wktuPNFM{j^Wp^W>bU?-?Yc?xAh_(A^{%ciVBOPB
z*$n`w6v-?tnQotIol`vJuXQU;es+_(bN%8}-2L>EO2GgafOMKPHVc`n?RslERdq79
z+WYP$>$sZLu53CF)q7EMpH@>-oD-Oz-zvU+U(QD6j1fumvdg&K(u)@1iSCIVFE{I2
zX{TnVy`bRLL%Q6)70T>N)&c55-$m!%U9|J`vV+^C=%%4}^>q>)MvK#1*^DRi0&$Of
zC_|oz1SOjwqpe5r`Tl#SSvVK94SVk!fqjs`R(+}Iy<XT{h;RE|Q%Hlc3j$#Y<`nqo
zP3y6a4exLqMd<du&Flm*<#5m2?H*O#saJ`3@FRn|8yLd*)SzBHe2hFM9yIdone}gE
zKE)&lI~Bc0zu0>TJZQb8Q{wBYJVxFCMMoWh6N=XTZa`o%2Xz#a>;x+tfg?Fs!}wlR
zHdIylh6$W}akE$!GjY!0<xg1>A|NnKR7#%o;+b<A9`mB)koVjLJxYxBS-qI%bB(N3
zv{*mp>2*Nu(816Sy&r}$pKK-%WPer|lVF-;K0h$=wpV`AVD7A&$od{jc}9k3dyLWM
zGwx1E_FcUW*A0V(#K}?vml#Onbaw4m!oc07S{Y6yZ%Xsy@w?jje%So!8SGH4Z^jPE
zBjqoquoy*cFnFTgBk}Khm*XyAlixZw+23~8Shetq6krMS?32ORxx66w%L{-nZ^iSO
z2Af$myC`b%zbT{5h`~RM4{k@z2a|N6hAUedf|+g$)riea!WplJGZO8$^`bF5U8aLO
z<B&_s&QDMD$*qn1bvFm!5_<H#F{W2)7USHMbp~ZB2z1sjPP~Jk=8kA9MtU2A=LAR^
z2t&8a(Hlu`?tBuHl*|IMs@U@mnm;veSI_hE@~T2w)pXVX<!Tb?9YUUt)%qAGTVGMJ
zY6~rR_inQoy`h2i(Fbgh$vc*oJi0lCZg)*g^zsV|9uW9}^;UfMu*>#lbUl>^wC28F
z%k6Qr*g|0}Jzjjsnny_aQelOIbq~NLAf2oYJbT1MQ<XLMXMq-)kRIAHOU`f+ekPgZ
zZ17+m5`S+urg3{yg2DF3cf{;~^wxdBEUJFaFyh?Ivv}nqVvJYqKs3)1ZQNHsh&r}6
z?ir(Me$s6xdMwMVsMi#KC$Os>#3!gjovQbrv-VydFDn45_zKx_Q=~7Aki~Fh$V`Cs
z8<d3=Hbczeg#b59&bwqPW7r1aMEbZG?smk!0jNs8wUgd@jVb|+ybp-)%_?pTk7b>K
z?YV$HS2DC8bg#L(Iy%-##cBoX_Loq6^$6bE{S)BTNUCl&EO*lp<(l_+;ym_hF?iAk
zceuis+|fJSC9r$JVm<V$A^tcG)3Mc7<~%fxgwm|~UyK%nyZ(p5UbBw0KpHc;_@2nL
z!kJY`8^U&*wc(rvxnRqWE#GJBVrPc0U9(t#I*Y#H9(PWs;=FsUU>j1ZoHt`Wm}rGo
zsksMsc22crg&93Eg>=^zZGng&)(Jl<oWz@3=$TT2?wtFSNqpQ0_x(CjUv5k;y6YK>
z(yE$=pSaz$o2y!-zd4Ck_c~u(*kEKYN{&x?x`_1p2#O`NYw6!Ea9Ul_sk0pp89J0&
zt*jiAVRq-U+{f13aDNqsR@*_A24xwHifd8Av_f71wZ}&(BLwGT1y$1TFWOy88Es@C
z7yJ_m+*uJ92?_TuZ-ffW%+2v%?zoC+`0UjSP;Eot`f3-cXhCIP>P?ZEn{Fh<9i3AN
zZst7f#qQ2M+S><T^rBX(Y9o5hf)P4Zj*P8@R`0p0%Mkg^_aw%tUorhQkKfCPyTSKs
z`_rl~tuHDG+63zEe}u44@-ipZEecz#BuI)-MzZ~Q`Z7EswI%BBjPskn9j?>7y3uU?
zB`;+8*6KEoOu+rHM|>s7?<({V;Nv_ZvL+OpwBxKM*=rq0Yi~&SpvB&2_suM%N6WtO
z)RpvtDmT10>2&j_Ja0xjUPf|pZ;}9>f+s89xp!|<PdX)1Clx5ws^x=4udA0g7*A`G
z(ukfuQd0m7=+Z?9+U*|4k^sX!1wFjN$IlQNIuhJkBz@kL9%Bz~vkgu*#uOb2<52T>
z&N>$yG6L~5ch^WUpR^K2SgcC4yFAJ>biyZj@Pz57f624KCLYrn+}bc7?Tx>^I7PX2
zgg4|JsyJ<qzGHuCGT>Ya%=9Zj4ZKHR1t2p&07>(*zr3peO`PhHQl|Hu5SO9R(|0Lr
z;F0gVd-v|dU?YT_4a{}3ssWd59e50Efki~#!l@5g=?h3@ePo9P@F-2#N!J2{^<99^
z`Z^oR1E)4Nz`qX0Q*;DX#i55!UH;_Y=&01;ksieMi7p9em-WBPUYhE;(MA5Z>5DN|
zU9axpo7<mw*S1m;i`h79Saio`Hlugh^7LYP^7J7fvy+*z&5?68v?t1i9m`btAvFME
zj(&;4zv!`|UEe!ae>h&!n`e#>7WpzFVkRIH@ZkoD5{cFa|E>bRagG6c^ZH$2TobO$
ze=xk&4+s?gEoC1~rjmm)^Xxp^^PYVJ8ORp~F;CD;+k-R*>~6o&h>9TP=V=1FmrlI6
zEFmW5<ml{dc`08N2<=xldjWA&_4a>Dlxk(7V>=FYxH*{ydqgQ&!;MH{S$AV8VIfop
zeffe83_3@~v4qSTyQ-(+nk0t^vP5p<Y^pUM&vSsQnm2!;{C6lecYvO3EQiCSzglvp
zn^p0fvVl{#_0uqJ2^w?AE24Wc6EMjo+M-F`C=^h~dkE`30c{3BC;$2)AQmUQ(8#uV
z?CjhyVNTVBX2q^OL9r++E0e*>*EXygWdXDXTg~e~d!)w!%^s?=J6}Xw2#}zz;)0m~
z#W$V@blF|K5)h<iMg=efSw)%Im)Zc2Xqpbndv`}Lfpg4rHA7pjX~eC?;%-Rh%g#P!
z_tOuHz8QCYuSOSczO9wszf~_MT({>=;#k<T&R2B_8DAtHjdQ-2O=81p4g12OowV+J
zdWb6oaYH<!-?`WP*`iZX8re;#x%%d&Mm9MAkG(N5fR4Ip1vTs@1GKW%^n`^p0AAd`
zPDc~Gy1&nLiHOGI$ApMf>0Rfi?&r||Lk?qcT;^{J=6mCh1U&(k!CFGI{fM)ryWVV~
zxQu^ly*{zy$-}EU3wC@D%Nedx-D{I4zBeYWXb$atm+6#LHfys<#k$>bTB$R^j%|E&
z)!8DEkQ)u1@+Au#GeD8wOe{@XZ1;Lx6@<rVm9~{lhZFX=oq?MTn22ZT-*7E)!9#sd
zRpFexS%t~+LxeGaW59uLwVl@Vt!KsZ8eN8J!%ID?VL8KoXhp#`W}9Rw=~_klA|KVf
z;pkGkr3bDG1$<oDORT{>W6)6gsWW>&aXsz5S>a}@l%Pq8!6XBSylYPiYa#oI^1fD@
zWOlhYgTU$BVz2g?@j@M`tu26gfIHLW=9FY)S?T9RAMaAlpHNoo<uq_^O(i5Yaf9}V
z5>eWkk#X?X2}Vla)vuN_JRZr0M7ej<>(zd>&~yQxhK*diBF`A58$$ArN{aJ@M-o0p
z0XcAB0~^}+2^=+&qp2j3T3Gi1C)0U=b8+JmhzF2^E7uYX$;HIF`>E*p;5k(n+Vlgc
z;eE(?@7d`h$DkdDhgGg|(kTdQZRz~Mda}cK2}0~Aww1!}^jqK8imvZ_FxI@;Afu#F
z1gfoufA?`UYB%$=T1Xwn(yX?tEd63`fqU=V;KrwuV^u$z)Zic`$N>>B$!j84#<4Ky
zu8U91;zpfkw8DF*G`b%mgPA5B$-2Tcs!Ad_QQgGSR|97FlyyllC5Ch3PJ*!bpoK4@
zn-gZcphnD*s$wu*LVd1e9cT>BAZJaJzso*2Oeos4*C1RBY?_^l-%78S2+(g)sozg5
zuH1HoBu^@Xf1nhrPGMjD+)~?Zfg0a@`9FSFG~PTF7V}=R<IIFOHDiAM8D)enp8WI0
z^zxUx5ctP`{rG?Dkci3x(QMnkF@A)3kr>~&OVHz$n^Db+XP*`)fdv2CkQg8w71!Mb
ziydyaV^|dJn=zK<a%UdrQ%<P#JO%-@^mq{f_aIyGfBzby=O-B@m!NYN9TY#jE9te)
z!&D0n8*^dqfgv|GxXUALamp?<!>t4dpxrd`yVV}QyTM;nK&m|dx}81&>H6JKb)oVn
zUhohV^uo|`7YH0aE=FG-N7h1kjzIuXd}!3B`LXOg=p(QeC8Q0H8A8tr?gB7J8B~zR
zCTz0)&k)>R?>|4}_H3GqKi@anXbeS<h2XOiyw;Ah>Sn(CSaCE+rFyHH?GoDc>BOPw
ztFvOKMZ7;<M^1kdQXbqIRxW=&RR8NrTV3u7$^vN5F*0DlJSY!khQw%##>#e?Q^!H?
zg5PXUntZWeb7!YE(1|;5Uj+YbPBnw>M*<fTm{6SAT)^blMk+8VbxS8x-L{)(w^jJ~
z#Ry>kEP3~?rjAle4_{&{Kbi-LeU<QS2h^zD@vM;R1l_c&vxP~YzJFg>p7`EXA_h(~
z9r+-t+4Z_<=|UY+N_s1RHOu?$ialR5VD|nz)6iY{0w!zNZS#H_(AHc4D*r&jEXUQ_
z+WHe^Hw9^3Im|a(xA?S?DtO|BlR!_xS{<1>02<6-ks`6)Np(!$GzCb=rrP45D1mC=
z)Hw%a)d(Pvu0v&+IgtUdRKGJJ4~z}&Aaif0c#c0wmfyh5o^>5c<i|-swTo!i#M$mT
z=&T)suR&;#wxq$%nCfGzoX4W^6K{t{SUF8iK8alBTH2|q(-efZo$leia^%-UXj$Sm
zwvYwtQO%bK7OHp<P^_y2Z@rC>P?84@mq42JMnFIS9TiibA4>&Nd|&0Dop#a{pcSSm
zzuv^M-v`_q34(XuYA3*54=W#~1V9Vle)-XxmZv62$OYB9$hfsK0f3doqc={$x*b5n
znl^883M^}@DL(N;-_=V^c3aV{CcN4z*mriV5%f9&<&f^b0Pe3sxbizf-#5mG&8dIy
z%-U}ixp)fe-T9f^S2$0#44Yr2EuNp@fj?W(+ZqhTPF17DDtyue=xG2Y@Yt_8#H9q{
z4O|=$hzVW@u#Q8i0}Vqh!*GEjpbcnFal{D+e!ykigI4R9U+9Qi`)i|x3s!^%;>8+c
zWhLYXPzp%2OL|x0UkMIVIBhmeqqgP+J3)eRTTd&*qW)Wi)8O)anxoAY>ScrE8lj^7
zY&PjB*xX3|>60~3LR1>qsHV?Q(OvODJ8QTNC!6&K09*EdJlj0r<Ar9lOSKSyg7SxS
zapCt=(|G@R#hf&?c;)-)A7u3J{4<&r+tD{pR-|v^AS$G>FZmX}e}7q9C@x$pkm`n@
zT8!)IwnLFpv%qL%tBLlOZlbGKl530%;fm78$OJCHV={v1q{KwmsI~`=pzFiDKNi{B
zJ8Q`Y=skBlJeK!dM(Ws#EhuAm*c9zBmInDthiFF(GTz<*EmM!Xdi+F3Hy>n$R=?X(
z;Y`R%N+`=fUWlswc49_P*-%JQf7pDK<bmERvhKi~9@?Qo96qemME!!ZNZARa!*7RE
zn;p87B+m>EA3@rUj|oCStwp4%#^lB6Jugj*?N)JZ#AeNyiCX?4y!AQCYp7YuwD5~q
zDIhY_JJ!U3x1gk^@vS_%_zHd>>r=5cvDr&4;Z7@h&~l}7cJ&*Tzv1}&9bekDBS%;?
zJLjD+KIG>4wXx%D2T{|9Sv?oKzj?t*LH@E?dF9H7<4e9eLU9m!>gHE_C{@bdk<wbd
zO`NM+Jmpj*Kq`MG4Fdd=tYIO5K;~YAs#on(Htb&?9wUMT3b=-<LHkufs!&)|<kB~5
z87U?9ZF#eH^t~dNBIZ&~>=rR_vjzrIOAvj%WSyz5>evQMZriHLUNO}GtVdMrFPt{1
z;}9t7WRLL$+yJO8eg@#~j$62=or>F9VftzwOU%BzK_=~DZl7w3G1l-}&uBG6jL-M#
zs(kduaY5QLvP!(J#L0MxF_q%3s1hIK3#>)EO;k(V(-SM*x=a*pM=Zgj@Q=SrCOVL%
zUeU30ss6xUMV}N{9<E-Ue)-p-ZI@sjIuJQK@t0IJu%fX50KvxzrpEr1Pe1?o-ks8`
zY2>^Etz4@GsK(7O_G|1>@9pgQfq|}*p!h3q3(yS{r(DeqTM_IqA15onbXQ1U47pdn
zx(ui;;=^OpMQF~<xg5cvv#?@1;UG!?^a8O6h?fA{s`DK;FT@rC4{6+L0|`K}1Rb00
z{_~?5f*T1Q>A2^~LXs2f_%{u&GdR-0@@?4O1vk|f&J5Hei1Ryjn@aM538Z@4nlgNN
zxZwLrM1nHh9NW}_`6MD?*zs_6Mvq6bxyUNt=WMw&J$C}Hg*1cazksuf8+1DXWdmG$
z`8Qn2hkS$nnw(TpQVI-tUeq}L{~RZqH}X3-JSK=qPNG!d_f~Rf5)PjruAZ++U8&!h
zJ>t-N3SnVLf$^02u~omkb4tr=hmmArwguu#HH@;?0`_DxX^jBktar#RiG>0)%gX7>
z2?xy$l2hc0j=ll$WdbOCnkj1Xs{J4y{Y#GMCX3k-v{<hi?LLH@wJYSiVp%nMI|E1@
z>sKs9JX<goh-!daUnxL69FLNs#TEsQ7eQ|I3yv1B97!rlS(Cvet4?Owxm9ka)FQV-
zP{$4?N3M}E$#3=!8j*tzF>*c8@M!_b;c-w%yVtJ|@L9G&{lrI+qqao}XkT;0)%WO=
z_54jz$x`){ZTOvjEa=TD^8r$2=bcFU;0vpOsV+sp0hFcW0kI61tR>JSM8F0qmyA|C
z!Z%jK%fF_FlWBF`pAP#|+Md*Om^V*X`jHmz-*|&_ODN4FmR1p+^1LR>1g*qEig3IA
zc6s&p_bq-}HV|501b|&rMp5A0<tCcV&6bGcQ*NXl8b#CQ{X2lEd!5456pt@mm_iO?
zDz;KRHu|X$r-S}dOtQX}Lp!1?Ipbhnr?*k`k26YYget3T|JdHvk;D;iSu$LC_2tY`
zD)6jJLT}gz?kb#$Ao(KRc`NPK5$llNnJ5b?hqS#tg|DITfQ-9z%1#u@6l`kD$oQ-*
zM5%z^T(i5RdF7><fJq%pas`@=QS!NsoLhO7FbP-qtW~)8$AH}ZuhqWel6=&(6NQ-r
z$%PW*GqWB@fp&vQku1X%h>hWV<9cVtB+>2cuxMFelmI>Eq00YS+Zh&;460dx6H*S4
zYFEc3Bd%hC-Sk1W$9d{h(?t;p2VY9m7vHbcJ&GW}T1KwHfPapRpcO%(SMZEKDH}cP
zSvX=KQBicuB}VN{ce_Q-?Oft(^vZP6OUWW5YQdZ!G|Wq_+SEt4k97jKb68A;wu(e0
zLUwM^<HWKL*eYQTn{vw(asCbw5tH7p;fuSdU(eF3tJ#3X1WI_W7h>OC#dODd>jFrH
z#`jJis0rr2efv$wi6p81=JWp!Nn(@rl}@pAE@}(`xDqiaT0cW+y)`#i2v6BHgzD?i
z5m`?l1*Qigr^(%P>A!mW-jT>Lh2TH(Mm$o|=8|9kM_d*8FyKlg1aDn%K|FquN}GP7
zMiP?OoNn?MTCDzMp~%qk3gr84(kTtEl_$WHACyUH_Vt>VD!aF^o9Xu9>k{t8%?l4A
zQ>LkV)XX`Nl-nD!?QncnHlxXR(1e*Lhz6C7MbGxaMG}`QaxGg+puFb&`}g@}Wgc%(
z8+S#0@J-z(FNQ0JqzeVloe{(~yp6`<4eeJok#$uX2eTB^10Lpm5)oB72b;@S5t-qU
zyG4qD6h&hv<6ZPWWvCbg<OPG$LZ;BkUe$BczuXgSmjKW+9x=W<q$w0PI`fnW1~uie
z>~<Jn2zC{r@$qZiP=2kzQUK#ebBdWb;|8vQim=Rk^kLq1#e5(Kh^tpU6|pM-yf>sU
z@4*JI@R7^NsVKu5=z+rVdEw5<!BpKK=d7hhC$@$CTo=JEE81Y22vX(*bos5-UehlP
zt1K#g84A__sJNSsj{P+oU+K~znzjd5$4JH5L8qcL;7~Si1StWubjly#!U9^@gxCx5
zpT$ftOOBj5`}o)8FkHL#FW2Y)`tjET^k3ufpBaa+=TxTW=3qHYyDb!x;N6506M&l|
zwRLn>-+p=5Tp#k~@t^}hJ@59*7ol^Ia@yN*#5zB^AZl&18XePiEZR*#Z!kg0&^pjn
zvs>Hj1!6km{tBc$2nWzqsawBJiXr>sJBxqDzkKlsM_~nUf&^eFQ`hWUSYF-_`hx#9
zbK<WY4lyx&f`SR)k~{2%K_=r*R$HCzIXg$)OKT!SPR6viYuDZECj+m~;zjr(eJK+V
zFB_iJuKCHH0#SRZhE<DG5l)nFdU$M<;2qd)yA7V#{~-x9Fx9fWKsXMypHnL)T3_rC
z7Zalf0MB-%QxT04gh#_;^&qX1fKY%Yp?Ew>#3*;73V(9nuZy_i7+EKN2JBTu$_R46
zBwt^QMz$UxU%DXUJM8R1sumn4U~FpIE@%Z3Vggc+qEZ5s&>KsQuzfn_Lr&x2c>=gf
z(4_2vR9obuU2-CcW0D6>iJQld;ei46&li`f299;I5e<q74)f+Y)SLP>^(Vy$8;k8h
zdM^dJVebWU1{^N>gtcRm+c3#Ng@uKtkCw}S|8XSKz6NGs@*61?vxfaa-HX7n^$~_D
zwfoJK-P&!7RE-RS92^KHP<nncW*&q>Z`3W=034A1`o+#Dt&Ws30`bU@O+B&B;yoHE
z3!j??jt7}{F0D-ia)y&2jubE%i!81lw&su0*agNuP~_q=9AWL^;u0iRQVTlDn+u6T
z?&|aH7V_Wi?ZN}^ohuZoQPdp5VreQC>wB4x6_=MkZqQ5eJ^S~=O187s*B{vxPWDx~
zs8qJumm44BIu(H7cm#rJ{`?Jf+6kJ1#Z2gZFYOxJMcTWPtXD;Wl#dV<2lWD(pYQK}
zd{KRiNDTLO(!f(7DwGK?GFPV*;}KP+Nk%T%N)ftzSZLdcExeUrCoSURGF_?;Tmut9
zaMFOn1H(}r=-EgqEapKORR9P%sGf5O0O2<)ROrMDONYqX>-`*1A4Nq)EFf6dIPgnS
zPdJfksUv<_ipWi4-s`4z>FQwb=rL(r#`Kto*xrkhaYa$tQq2se6dXI23ZB>=?%=Rn
zy$U<RU)*|7>PwH}xOtFo)qIpxv7B8Y*Of?10<B|~n*WbG&zv!IUqj15%@*a*Oj|5h
z9Ns2KQ&Y3AuN3WP0s8takiBF$Fdgwn+5;jy-(@J+obc%3$scu#`GDVk7L;YO!EK5H
zd6)>;+2HfPw~5f3Ez0L$-Om>}8wR$Ws)zL!LN+nB^T5^Olwe#3iy#~hSjZNSdQv&d
zhxZ1#R^5OBBwQbP>he8zFCc3j_2T9?CuB%tHFjchQq2!E$EY{$6L?5E#m#vPNPfx{
z^?9oSXQVlB|5l3579+o?{)~(7m2bW5|K<@<VeDp9w`#`iWmq-O*!retJFWHWQtW5}
z<xUr-LU31=Ugll#m*!JNbbowb#1-sf@r?~B(P^S;TQeve7uQ$@3->;5s;S9By~LEw
zz({83C#(^RiQ4@ENLLchH8N#%_jrWy)BL3WSUogDxf<q1wQE&m!$WvlnapM^h*>_v
zX1lH(<&vNr3OS3pfAevlol?cl#8QRvVJ-=i^3h=H^v1QlV{!CsSbHl(w5x=Bf$;SB
z*OcMmkNUH{J!4+X41uLzuneq+594Dwl4R?tn8)=?a2gf)T|v+JwK?!;1?J02(OxfP
zr*NO%qZ28czaBUS--u8@25_^uVcohvIU5;3llv~T;Qjk<I%?L+<&}s+1Il_(h`tZq
z)HO;fq6m$Zw5W21_bule<%L}8pun3e=SF@mg&E%!dS9FD{{@mUaAj!VP8|i9(Rsp)
zMK`~F6Tnj-BXe#G(3BcqgSNG%JaL|5_zW$93z%fZCUP@5AQRbPr|&gE*;PDad&?C>
zc4me^&73Idt2Wul+p3EU;dpWLR8m61)vI!H67hqX+Bu8keT3iBjO!ozs<r6C2G;b6
zjMRyYX!2WNEox+9vaui5oq)`YjgMVxLS+HYJ)aqnwOP!>ynpvD`MkrMX$6}Cz*wWW
z#<V?vfYsbK(roDS=U1=R9GpmNAmJrZmGpm)*F`+oK`e}nRwGf3ljCw{qPCHIe+pVh
zuF%Q%wWj@zK^A9!{eH`jtAHc;`vhCGuKyz0g3lOl{nwB5A^NXz_%%`fv*W;dX7TXB
zm;dk3duEy6!3)F1Lt_3cZ~i|GhYtF)oR8JAyy#Gj!h-Az^vv<VZofd)3nXX--b9Yp
z#t`eUTAp2<ogvmXHd)ba4@z{lQ_vg5k7et+`rtsL<*=YbXS_)D(YD}UBgGJT1Oym=
zYh*`D&Hlot=~jCQb|4CwF8d*hrTpOn+*?qB_Cb|~R~yQ$tss&PfLFEdr?e4|`anmj
ziHcJJlLo_M7Lih?>6yMyXx{H-%XZ)SDc+X(p~Ad;r-a3mKo18$SU9R(*GMgszatKd
zOh9=nxuAHzE<b>EH-bWTVTJ$b?^DxYbS;-F{Y`(20!!Ktg=m3{fkKA_6u(BcLEa<I
z67<GxC<zn`EMR5HfWc6l2nzib6#@UmsBVnh!}@rYn|WPv-F%$Ey?J>mPTcNx?@4_X
zDG`hHkgD~k-&{hJ=<$Y(RJ;+gXAYywUv&6kx$zM$A&j|jT3<xHMJmR1O}PSuFLL`a
zBHgoI)0+Gxhx1&j3K&}-g?KD~w8-?ofVkA|?B>=Nyc}UOp%f2X$O6H5UcuZZg>0H2
zNdFmjWYcUoaEbVZkxFa7@UuQxrH-2z0PoE@52YoTz853`paz`OT$s+@#kdY@0p-yi
z1Ec2|FW8;KqLoF`O1NhNU~A)pi9aJUv#mCHJL#0O<;HFrdQH}Z+jfOKSDf_@hGXql
zcL#01&&)K65<Z^i<!E_zaf&xoN(gT*=H${$zVzX%yHd(+ZL4vGg*zZ62E`X1NxDt^
zu3`THST`B~18Pv#up4Yz=GGP#^*4|JA22-wbA2Uy%g{<suh$23zqu;C^6IK8IjxU8
z65)T`xz=n?Uge^&J~o~wekirYor`Qo5pQh^n{FHP-IoEYpoWvwCwQ!7u3U&$a5W)j
zWXWq}^@wqA-kdrq5spt{<T(e%_QxULD5>3$$hX<q*>jIZ#(rAUi$muqYJ4wlsz56M
zgM%#*_44IQvbmF+w-sd&=&c=XYis)g?6Wl<KAedMmKbV2EFL|Sv#`vu@enGpG=1p~
z+o9lZoVDjUk5X<iWL;wk_Y9|=2-QzlnVv7b%mQoCx*{d}y}pm};&XIj%yWjHkxQi1
z**eoDJz@#YT)B+;_3YDpQ!_KO_}fDK@oVdJzyb8bn0zv)8o|1o#jWbrRH5djw*T~i
zeoT1~i<UsQfxX)5!e|Aex*Gm_#_x-fnK-=!P14J=A&2-|BS@I!6darB(Om2Q2~)#z
zt={NUq}PO?fgN0NLun;{(hW1PNYEKp(Wn~KC{A8uJd8}mCjqy#2h2k+Z(ew$UDxlC
zu7hGEYuFc|oj?D1POIsE21qedm<a*sn>#<g&<mA7)1b3+2Mnfiq|_s*c|Bk|%~9^=
z0oP9~SH*8?(=df6OUY+G97!iO1x1VBD?O*#59m@y9F4F1x~|YKFGBs;=@`=Rn5IC_
z8k`32TXmLBajqWTYexQ0Od>?t>hix}B+tiyz$r&B-x&spCe)D`bm?Z{;MH=l#U+sC
z>yW7pI>{zviy!>XS`|uNKsUDXdcP_V*Gus6@i|KwYzB64&r#t#?J4L7Z7+2j$MM0d
zJ$bqMSxr4$tMwpo0wA!56KMj7@guyi3H{Cse|^XQ-~PWtBjJMl1&lLj%YFHanQQ0n
zyI+5JVBal`o8BHmd$#)@K0Sy;6~-}E{3!lg>|kBtiu$V=;kwGdU-osronF6wzjmSX
z28WPU$4!mcFFx*H4%J*Zecj+%x*5B{hud{=i%QLqg1{e#a8OelPk3{tu)bfNUWStK
zx~lO|o_@yfxb8na=BF;pVD~e8=EC|2zehuO&zw=p<=m1bdUZ=4z7MG_rg}oN64p*Z
zgG{tM|DFqo>2=MwZ@)1Dd0Y(IGoSLb*Z#NWuKl0s{_p!<UFCbJxJq)24kLtGp>nKr
z@EH-wVUD#B3zrzpX`N6x)tt$B$YB%>%_)bt9CtNrjgXWzYsNJ*tZ~10-QWB1xc`9r
zhkHNpc-Z##`F!5**ZK8)z6KR|j!>i$Dz1+4qc6n0hH?HAMU5BWdBwaqH%Ryg-1W~1
za(g?@1pxQMis%)wEiw{?E?+|2B?{94UFHfH0b^^4C$0PdrCwYv`#9-Lr@}}g*-f{=
zCpvjAi_1;<##;l`(Q+uFgpi3)%3KytB?MY@4j9m%`l)@Z-t|Ll(dhJa`@zfsk-dE}
zGUvwYrYs!c1zqS{WK}+r;)3?H4_LpAgMQ4<kApD}rkZ{(E{YjnHV!Z35_Eb(@GCr%
zAYVY;TTKc_tUqF63v!NQr+#dozce{FWcK1HXt_LLWR#O|YC@FH+y}SFiESgwCKTG}
zE&~O$b9VpZ3q(LtS^4Vzp9&$b31}GOt<KeYY(72hV$E8HjQ<FoE~o>L;eAlNO?FyZ
zXc~M@b6RjzVc)*!Oaj|VmMM%;Qd8p^^uS>5rwk3l)<BEF_EJAqs1b_TdRIDueg`0Q
zbV6t38I|U$gDaWcpt99K)4Ljb*AwwrIH#4c^awup3zRM8XPu>Ch(VS{+tE%nyyvyd
z=6HP9-Ww^pH5OKC2FmOoJ>MrXAFj0!nUzz+4QpT{yc+&`m+*eja=nRgDGBabPm3Wp
zHVR&KbaV*k$X;ho5bP^NfROK~+_L}pLDo+IdZ(0K&JFW9t{Bq0FI)$tdDhN?QNq0n
zyg?QDle>F^lV8!afunVjKhQ#=)f%e(egSahg#ZW2c#f<>8>d5+3fwb?65;LjG>?|R
zN%GODI|I751_uTn6`y=&aP!G%ipzA3mEGOLBRr*F-07{B)Y6_T2gBTb`64_?WofH~
zmBh{#=QkkwMH5LvE29&869P2%NENI^Z*IYFT(23}rhgyabNk9)P0drhmd&cVDOR?1
z4`TcPt8Fo;h+%;b`|<I40sDd15)yPPwyeH>r@;FKt-F+5R!_@6z@h<ez-)qG7=xWZ
zD>_r9hyq{(m>iR=BOx)Gu+2jU*~TqECE68TQCKwLD$+6W>Uon4#@Y<%3E>)UIIeBk
zCT93+0CW}kGpB|bwDB&O=sfkXDMi=@1B3M1kMB*0wzfxfd<@%k)ZC+|sHj-6`u<Ql
zg2O#E98V<qL6Vm1B+!x%iURyCTejfzY;$eOHw#EBvH+qG9~akVQkobEcse9u>e17l
zrY0so-{^}hwz|<LyO2UbPgc0)x)p?lrZFna?GGP547Y(M>f%Y4vG=;PYS?WSR7u#r
z11vh879JYvX6l{jY~6*Kbh3(QB^-9Fal^J9lr}v+5(B2VvH`B$7h&Yuu_)7itjF#7
zkWY|~r(-NRgiJV*1V^iT1DHj%L!_x?seQQ;3Z%d^V1A&^V%t>1wgR02V}O0Y=>*Z0
zI8a&M1~vCQG<hHV;wq7JN&8ghQ~<Gcp5a>{@*%1EB+)L-fB5wDj!q^4G<<B?{iORX
zZCn+SR77of5nCsNU)1iDmfmp26Ah+Hbeb8=dhn@MPzhIqO)g-kT#p1O(=pSUEFo=N
z288v|0sU{tv-w#;pZe2}1Wh*tOlUy9D|~*me^=bjcA|G%h45fHVxKvv$D&WIi4`8g
zF9|LtHm;xh67>vt4>yR>*3|a9`Qdi4{O{@d`&mQ4Z?mivwaD?EJ#AZPb?yVyi$>dm
zRsGzEuaA#31g?Z90M~eFE6DlzTCTf7wdu==1TKg#aFb2JvlIlYxZ8;}`x0))U8`Ww
zv+G-d%$ePpBTJk)(p1wN51%u|2P!BkYE9<EWW&k<*GYN*?cdNG58$M2f~*@AIZ;$7
zf4!VAVPE0k3kHFG0E#aYZ<D%w4mzS9t*@FgT_e>PRXW0w?VLDduEY9$>uj-VAh8ve
zIS^o5KGK|&O9sez3SzwoK4%3I!IxP)YmM2&l$7a%emHbMI2M&!Y2r`_xMPk%z@U5L
zLlX&MkPs0O&lPS?0``D+qx>L#*LXE45;O`C37gNBw{4veknnA7VA@&j$?FU&$Z2&w
z_DF5Zox0?;@(J5WCU5OukZ0<fiybjWRAi)uQQk&Fz8V|c)l~Q-hMv@uRh0z4bmTF=
zX%A6V0j0u;QNFJ8(;U<p6KAU~xH#tVFE8Ew39`CXL{iYTKU8jIhE~Jp#sL|Ru1F-J
zC{ya5@SjKMOBSmRL`FnNC-=^#JYvbDr-62-{Ve@yK_gIF7KHIHrt@_cmyHXO5)(~;
z9`&F;sc`V$)XvpBr1cu`N#F|V_T}snbVqGbjaod*2Gu$B3TK@dgU;$^PJ*+J&l{n0
zYpH9SY#W!mvZnGvMmzbCTYuTPb;SX#vG8iA?z==xGc8i(vk7(2iJqrEA8A8B13yeo
ziu!@*2H@NFvtAx+7s2wtNm#HcA7Q3bFTQNVzqvG;b?fub(NXrGeGX$>QsS8B2cUl|
zoj{&?6S-bkQZg$I*(#&V42Pn6t&F+_A}2s?x(ZHnCS+tV$lf+BXh#!GO$#Vo7B+wO
z)bM@$Li%zXpq(InQ{)Q-wXbN&k9aZ1vaK5;^O@Gx);|uh5~SJ|r)dnvTlNh=IJ(+*
zv(A<Zw8;=i^ha7z-NBYThtGlRI}fOrnByb;0)gOYxQcJWgQJJovQN4zLC>2rFo3RT
znPWXs`p+!~FK`oQ)rkf@DsV%?3`>pFVASB|^W{Wvlv$zV`Kz4Q&5OTWOP(E6kinc9
z2B~$fu+~;1b?N4D#iM%@&@fYfqC1luh)c(M_$Im-gEbaSC?Ne@@sj_J*P?6!uufUj
z%qQ}(*lget#Frfj9rZT2G97rLr{#4T4qQom?*lY!Up9p~4KH;Ys!16w(dhej2UWwi
zaaf&bOe@Pry@k)YLCK_*2j_}j74JFRlO;-mGnG+N)WIbWO5K1yC#vkTq`e|)${ce5
z$i%g#YO%7VWCS$&^q9h@@6F82#LKA^*l2IUk30pokP8yTO)$_Dr}^Gbp~}}9GGj6y
zDqYj@Wh`6vt{*q(Me9zGI%dxpj8@$8d794B=Qw`?AvxIl2Fp6ycs_MaeUN9+lVykI
zFoDbCao|Et<MSKE9Zk2#F>|-MTO_h53dR3Q7&EsT&mZ!+WTgh4l{x5z>qiRTik&RO
zz)!1|rHY_qA{SVatE)kF)XN~n{bG^+C1uCXo$gKu<5Q<rv)JTKO~3ltQ@xhsq!wVR
zD+yWfIa#2Jtx73Dt$dm}V*MGLT&12jIyDuONKi{Fli9JuWMX7w1eEln!9+k~PzLfR
zww}jl4*7%|INO3*i3P=<<-gYgg_sPR1pa?%Uy9YbweH%R&hGB+*E5Eij2uMi2EbWf
zLvwcF4Tr8V_GU$cW*uR9_HJ62!pLb86E`!JPKq0yleYYdU<I4h$K(SW`{~a=|K#?Y
zS2e0?sz?UixKTV8M~TR|W*f~j;aYs#1lP4k-IO*xjq?G7JIZKIvpQ$K@8i>TOH==x
ztV+SpR0mHtMHC+IptF~r8OYr+`&EF~t9_OAbZP30=r_k2h*>W_JZ|*XtJF*DLg7(G
z1%;28T#)yO2Fd7QW?5QmMX>GQ$+9b&ZojAWP6L~Su#Z0|%{~OhtHm?{P)a)7rw7Yi
zkGfKY_@?tDqWY-3x`*$0O_Hi)Ws%K=6YkZ61ee|~&N{TiexB2UlzpnI8?{vCOrDz{
zKkDzkg|A<~a<|8J8mmX2d+Hce(tW-pm{H9hL>i#gB;G|`+;Vhpo`W_CNv*0Tsr{99
z^jK<YD*gTJ5(PL@0z~C#s$h7hvY|<B2XL+}pi8-*iyWIF*lrmc8yiFi$E10+4fjF}
z`f<Bj@dEr@5N<$Hfe*(yoxXSPu5N&~0Wy3J3FQ-d0nDW0D!p6@9pK~~huHaB2y0kN
zJ{b=~4c=N^|H3#*?Yx<|RsvgVYcJl)Fh}}TyHa>Dv*d*?yfkNi-aq%a9>XGCkE~oF
zX*bqf{gThAt{+C+20Y#lXwEc*tSa1P_14WsDlj_A9lO4F^wPXt>Q~;Hskm<xMb_tc
zr*nm#0AV?J*CYn`KZ5ojpWgEBSD@PI#U1M-Z+I@>OYnipYHGGt>lts*QC%sP<NDwz
zJ7d3S^a4pNeE$6TVRyPHjgSx#8JVJ{qVm&YyZp)jNFOwciq0<UK_@gQW3+SpP~O`v
z8v|6a4QPJ}Hhf#-y51CesV4iyi_lKirO~Uyn(z-^ZiXDA`inzmYQMZ|>HdAEb0`SU
z<7?UFQ(?*}y^XPb!^ArSf5~3^TgTGgL>1>@ai-{sCSMbNb<RZ{0!%Vkd8?VIl=z?{
zQ`>xr{Qkemx4pc)TI|W%($5H>bN1#VtdGTePSvaMWKu?OjemG1EVhwiFtKICy4e#y
zK0cmdyVmlBQ<p@0sHx=QNaPbix-ej(Awcj5h0lkv-fJt5=vimHIPO}{KE!_sIaWKv
zQ7P{tzWCq0dv`SWMVGo9&;hpN6BE7e^k`U~jW2jAo=EhXQnfj-bdWuuNAiJe6;OJ*
z(HR5Z$a3A0rE1o>ionXrf?c6l=74HUrS@#E;lPUm8Gi>%R=iOPU;T0teQ&_Yc?bQZ
z9lucrQA-^&=(-<4E~|}b9e;FyX<pO8_var5Gv2TVl??b%|CZp%0T<i>NL41JJ!$V0
zaq7~VCu{qVs(8lW?cm@Bu?HBNt^q2EqD~g2`TL(Yk0--@G=B;}x`63UH$B!_r<O@L
zSF|Yq;b~%Qr^1QdZK5mP!2<u+5jlRfX@n><bJD-wIIBlb@(ZOgx<?Sv0NaZ@%({Xa
z#3awEfDozS6VIevzbubXu041$+U?`~(<*Vu0=oS&nb?4(yHTEK4vRKU0>$!q@`7jM
z9R?9FCq<z-y|8`bBO|<=#aSzLQ9rMRDCcuvfeB#EhMa$^#f5%eU0t1UZF=cqtOiQ<
z)V#fNl!vtO*0StY<Y~4kt+Bu5w6xCkYbfuGfK0;qgRd*2OeUppEQYpKUNB>jZ7p%;
zF$fa0!Abdb>&~}om0=$au>d88a3hwelR#PtgTMeoZuN1|i$xC3Hm?DAP!t7JvSCll
zgu+PC=VG4_CnqP@q=5~arXL|bh=f?J+@YyMEGFKup|KHH*T-lVk5nzJP>VB_ak5$;
zOPiRh^e3pEzs9XA9zBWX*x}PCOv*kLl_;GS&J?0q)sSQxi+!20-C6d=$A1DX;3Nll
z0A@0+8DE1WbK_io`QDza&1YYYlS9th+ET7d<!8j)*WTfK?i0mU%-e5Iy$XO}3aEpV
z5ij~~Rxf{27_lQA%m?L9yLqf&4lx2+f=(b52l{ufIeXS-H?X6OrM(u?lB<9|<5pnu
zFS0rM-hME>+_1dgB<@O!&kay`nFPS%enmHliN!s8bAh@9=If#v3MksRvicfc592OK
z93CDffbu>ojE*rsRN+LG6>=J<Q~H@8nm??F(t8#fZJ66?m^-u)bZU+^0Nj-JsyNr!
zMEEowxZfclZq$i7*z)`);0+Xf2{noy?mJvCm}S2`7xWjkN+}&W3i6w@P@~qe7Q4Fo
z`V$Ngpi6=Ol!YiIm)rz!wYKSr388;%FfffFSs)82bJ)`@<N&)`lK;}z1vA<>ZAle#
z#~Ckm%X;qL8ZN!OvZ4x1NQwPh@UUG?gTIj%<N&~z030)U?Zl#ujg4<W$|Ie!e2KFa
z6r`vkmWee^f)`|l=76eS<{Q*l<u!|R>TUsVB;Cp5w4#|p&`~r;{?Kq>k~mVXVJ$37
z9i6Xp-9?#E7?-g^0tM~on}=~chZi#=g5m`mxXMqF!&kndqPLVy*6=u|?!84NzO|zk
zz}$g_){~ws4NZ2*K$JQ**F+Yv$?=&(v@5N|vJXwSX&4QO&!_blZ+rm39Ehk9)JZ_n
z_sPs138Yos@6MgNFSWx%$Hbu~A+-zFzAL%o7Li1;BwwKt;B$`_`x@~NFt2Dn>LSqN
zzA%r$gIMuoPgEyT*Z}O%iuHhW`=fTq-iB%pMNl#B(-`;mE1ExnCFae}&JtB{GWA~K
z=nVLidY~8OFcLrydS_45F+?`Gp|v%-#aU+qL5)CJr%heVRW}8#9Id5I!75BMDBg1X
z<A)DR1tcE_Tho_Lquygzrvb&>HN1v8VC*GwT<91ugJ(e4*8X0B7ZBT6npt9|cN^2Q
z_<=UQt2cN<VF3-MG>0M9;{c+27(G+xs(t%&IspYrF;1?A!RENu4SsFA%h{6e10};~
zqKFJT43Z7oDF(7&Yx|LN0oP61&7)ca!OqIou*ZQulZ1j&LtVOCU?4&W>JFX2n5jx0
zJ843hU<o%q;Cm9`*~dH(%&Zpp+}W++kAH+o+8^RK<ZPS0Q=b$1Kk}ik(yKLDv-~!j
z3fM${8smX^zNL}s=VH2O67<Shr)>}^REJWuS4)KlP=lqiva&+&dPYGeH4K9x0bsh7
z{lVv_0)bU3HmL=?gdPX|>fv)$AoA%cp9OP!3*v2CM2`v0a#42JaRr{P*mF@-^qbF=
z9ZUiwtpl%LzqaT+EQh;#7FApO`3ug08X^9OvU2l*a}9tU6;%VDi-H7@wh}5vgXIqV
zq(F_-?4=HeZ^fezFOHF`BiIwbwM$K&ZRtctk_hGMmo3ScsS_YIh^;(+QH39TJwd4p
zOiKP0C}@0JNnzs{;X!=An;y%H!t-xSk1%B0>TZ*iR7+i!g+Lxc*c0maM7XA95=W0p
z2!9JM&o;j6&ZiPDoJQ1i?c1U@xuqZ2DGeyd{tun}XKyZ3<p4q6F(~}vkZtAW|I$c1
zWMrlbtTjA$n>nn<<HIx`Q-rW+59;%L=A^rsZHagnzSLFFvnB3H*v9@UVJQ{J9r$(!
z3r*>m7H)a>%Ls#!4XRa}^#nkh6UlYUl$3aN><_SI#IYZTYe6NzYZqu!^iSxWb%Ky(
zg(m@!RN@}?-Zn9bltVhm;82l5b8odtaIITH9QTV;wawReh~FK(5l>pN0zsL#jOJGH
z-~TUObDb=_25i#Vd;P-9@)2a(=ItC?Z*iGp?;hWpe?X5<Z{T<1znrj6A!%+h^b7jM
zIb<D8eQ}S#V2zCScVdLdO`h;Rqd!9YPRLX7o!n!5d)Y8m>11^rZ{ufo8kvV9vQI1j
z_qw`DcmGpH@w#7p|9_B%;H$@K6`?A*#GS@4mH^+QE^?&q#FO=TDbw;=3Qj9e7dK7S
z-8EVNf{bC42Uy%|YaPDvk9gyC?N79D+#^=Fh*d_?wf?^;*HzhFn}X+|6@++o(<3Y)
z-iBzOf&BX@!>Yqjc%R@46S+{s)$<PcrAV<#YJ7>_PavbSRE!iY*o}(92jWK$R|LfI
z!S#q=ukN*;Z9Zw_xZdna-CovL(qe~EgKQo9nDG%YUGwuw8Jj8ItZCVp6^>H>ox%s(
zC<yG7i+7$+zbD?PypN8EKvH+@tnt<LK5a>Tc;YJ-B+JD&uY=t20sP8%`WsY`@#f;$
z+R>~B=%O&FSL?gnx)DSleMXPLH&~J#saBm)c>I*A4K9@sZkx?Ku(kCuW&38k*3b5z
z+yOf$1a;%OOWQ%#h3hUER(I4nX`ndUVf1%&DPcmcnjRn(G1s%lM4v;#$7uKkLFU(9
znIdvp^M#gVr?Xv4B~lSf3l&V&FAWH)vARg_%ldyd#`(PC_qRn`J>1kUSJ11|mzT8t
z%y!#s2Bfo?k4A#BicCl=pGkPVD*W85I(?iRe3Lk{tXug>%PX7U8SfWZbF7ude^H_H
zaOO??9(_Y`^-I%2%#wERjNfe+t?zxtdBp^ZV|Lip)re<hY70f#W-i}&LcZH9o3ZO}
zSFMUeQJXPPOsu}_j6Q@cFLVm17sV1nS2seTw|jNO%Q^pb>oX7mE9l(WhclRng^pX_
zWH#reM_O;kMYYM7)!vL`2wT~@w|+Hue5E>;7V%fv!LMucb%ORRjmdr9T+dwxHj%9j
zKSX)De*$t53Fk#|jR9PrOPxLS)~Zoz_l^;q>Cl^V3?ZY5Mh=f-r97$?YAaYYI$PvR
zW(>Jj2m<@+y}2^amdy>m?t9-c!!D^LegZ4J!~b)mul6WF<{+^gSxd0lD#Jx+HmPcx
z{$#rv%$+PyQVw`Has)oZ4ozwvoAZl}poyQl^X~5*|5hTl0HEy;F)siRy^IGIFrxHy
z`&sHoeb(NbF5j#T>LOojZ0eW@1Y~!%?)*Ha1lULvHr$i2mzHuD`TNJFgbL!d?7w&X
z^ZhNI^y!xovkM+MYcu{sd(ie~m#oH7IjkTV&r1itVsQ+i)8*8Kmvw@%IO46Frd+Ma
zX*&Zsu)?cHAH>~084t|kYbE^z9_8Qk3QFrt<l1WT4X^3TJFflw9m2`BwI4qh1A=_)
z>c;j;lb`3#Q8T*)T|h9fCulq^NV!WuNBE=n1Ngawm)$?2uCulMS=!Y<I3cMI;vc8?
zOh#7_g0#Q?*6g>p-+n$Focv2Km)Nh*Lfmv9zO7x9-FTa4p-!utdm;0uSzO~zdZQ)z
zLPwZ(K>e6hkA6)0gBj)Fnq#<n8gEi+WwL6|k6skt&7!u%OXu5Fn8+e;O?+6kEA0f2
z)k`bu*{FOQH)HwngE+{u<8FPgRYWSmeE6Kp!t>=bs~f&jJ?XlSyrVq#t(j`G6d-xa
z2xP~WK8-#4j*UmYKba`~E~DLSOND^Xz>gcy3aFRle{$}@l@|7L9fpvU!|JUUJIsvF
zpY6J1)3LrsU39jiYsq8R0dXIe*M~x}qSKLU)c%fL-w92~>ANK(06R%XPF|0@)~)@V
zD}U`b*7hrZ5bQ5oiE9~;ms>`(xt&F^2@gD)xl)<e0zS=Tf6`{X#}8*NqqZj11981V
z6{-{Q%Ol!6!w^#(u`u`~u@D~K{Gex&BNZWEpv^+<;{89bv?i@>{w1>J75`d?1y4x=
Nx?pp@=A74q{{ow^dm8`%

literal 50151
zcmeFZ2UJtvyDb_(Kt;iV3er?SK$=Jg0Tn5sN|&x8QX)-CXrb5;q=pUx3Za)s??sU+
zH9+W1dJCNZA#fM!?|;sDZ`^b4edE0`-W}uYfs(|Xz1RBITHl&;esk;pNKN7F>8qz9
z5Xf1m;zLacgxnPZA$xX`0(>$Y^<@qGqIjmP@DTh4$DVAZH~4kRUQyo>0%7ty{zDQn
zvu+N7T!TO#-q&{hv^<LN)ZR|OAK~FIkg?}3ocv7Mn((;$*0!dl@#?KD`H#~lhT}{^
zminDNa;xK3%sre}f^?TgGa?O&hbpkeWuwK`!+qMecTSzpRxaTl(s_`rE0;}rnr(y}
zsd6X0Tzq_-MX>wc103B2>P>fP=FK(xjy<nVan|~_syPp7(^J3O`QLy2zY~G^H}oqP
z>GE1zmAvmVAALY|D(xFWEtD`-ZkrD#?FUxSHe!rBHUnQLm63Tx*pBcbW6YFS?GY}L
zTMzeBC!Sq7N~I8c*k<4nhH6LJ20gr?zEzB#60?Brr=Y~c6rcChb^dLrkLMi2@vXoi
z$zFYZK^mGAsvU~h$}T9tj1LUZ<zo-A1|GgB0i+tz2_ca%_Dif|%cw}d%GDuuslu*2
zkMO|5gWw8{hVJXg$u(S}#2M=7=v=dUSG?o$-T3cK-pma8^cxJ{STKRDeAm7uZ2NWP
zS^hvjyYUUHl%<M7*02wqbXr*|kBn|D&@<gGa1*mR@H*;e-<#`9ItqXP{=GKag+a~*
zKG+Ik(%!XpuDZN@&j1=H;k<~sF7?mE+laGJ7Gi96VC05w&bDu|<UEuGF%lLL!9{Av
zsimjqm{eDkH@%n=>!3n*L~Z#ivTb1OhZQwJqqVR@PuMQ#4@@!gBa3dHJE>xj|EwW#
zxk4W~Cfw**m6rAb!Iwz&w=a9&3RzwK%!vEjg^~0Q1V6IZ2G9Z|u9;8L4>S8DP(T-{
znHdpwXEI;lMY+K2^?$`cHd2oSjnZOkq1#k3WiakXuvfYsUM~qlIU_q(^n<?{cm$(5
z+%{*66*bMwrY>QJVzEQn@7=Hez3n+VFiOzI7^}gC+MVLjRs3oJRteMMhml7jTc+Rm
z-kX?hY;3estQdFr6pPHu$C_NE_8XP^c$tZH;eNmKmHxgyXXaLCCd-wfVj5^%>`!Tu
z<172jz0@zWpFE;p35VFb&KTAiKF^IT7Qy!KJh>ec&@`o)##a9oL<xZ)=51_jXt7I8
zh;^v5+km*RUhuzr0}5^|0L@-nT*NBgnVFf1W-#-*W|f87fBpJ(b`-zqm{6NCkpY@c
zQ@HY#PBhmaeTY|Nz97bPVd`dv%`BJr656ug<&xd_r@}*@Zj8&XOr?m3nVi}J(W^7+
zPBS?&PlU?8g&L@db6XHEm8@zlRHEm=heb{*v0n!Ao91$AG3^XG14GE;uNPS01`DK*
zJ}~#t)iY3qQf}OuSfREG5|BgKtS&AtdPyhyVbTn3Y*tL!5j%C;ptZrMcm5Bb6|m`O
zYkM{scvO$C%D~2J5QfT1O5a<aZ?w0zwr2MA^;PdPeGr(Hg4tMRtWdw}RE^JE((Pn!
zF(dVpbsB;)*$ArB<3hNrBW&GZ2M+wwf?Rq;k`#7*gAyqX&8R|2wVP;D$&}9s)BAb*
zWb(4FURo8*L==`xXVrG$(gd{na}(pTkDEU=l{9owa%Z=?e9`V#w)ZE^jl<!F@<kdt
zUS5`jqrB}s!YA58`+RJTD6)y{wgl*&aO2DN;Kmif4@FoPzuR`qO7Vx<y1KzZO;fdz
zTYbVXY!T1nuh*XB67vOSE4lUZMtGoLah3`R3mdb1Y^b@hF!!daiUyqXWc|@FW7bMX
zmB8tD67u_H_wpjEj&=&EuJ9Qlvk!NSTn^#pPVnRA{|ww8_jG=??WjJJRXZ9vSIz6s
zLNRGY-d&Ol&OT7g+aGouEWgqcBmBGN;imf`EZ$pj!?;!*Z{EncysvknXS2Wvwz+L_
zu*4tC_juY-ggUwjw;0@t9EveMa55bZ5^ya1xI~?*>iuhdmkeq0@!^dSsHTQS_j9P1
zS)1}Gfyc0fhigH{tj+Ds!o@%9<DOS*wohqU*)9`w1$p@ehxl;FQpI>QTT<s0@dy!0
zEfW*3VAM~9^td^48B%Eo%cajy|GTpGxY49zV15({%*sPgpCIkz(=T`)$EKsJdl}4&
z5vxFPJxrQTwr;g6r_H{mzP`R?puTNx^^3kNomDtGNyKJ|8k)CMv02d%VtYw(Kc;hz
zp*Q2nKUZ%l6n155+GBuvHy^IQ`CO5oFEA+<%nij3eYA$b7~D&!DBj?kp5?zXYqK!w
zM|3(cHcYMK+E?<HyyPhZ^O)4)$-oDOY;q~x^VL%Q{Gjg(VjV$9+gtqnrqbSr2We*+
zM2xsI1!GmD@9bKf_#2O!_2rXeFZW)*UalWE3$Jb3H_6J*?%AB{tR0|pEJs~oOJ%R-
zSZD&%|An#fXl1!&j~2*;jL`ml&l-LqAt4m?2($k~ujjc$Ux63KW@ct87?6;{mzI`>
zDZFm}?c6kXXYfRBZZ6_J=Bst@`}(JP7_-5qr?8&fw6s~(ZSTC2l9HY4P@1#FcK?Lq
zC&-?^GY>#6<LB2%|9tMF@ZT?wBk_Mo9LVJfV4l$hGx-;pSgOzO?VwDS6tjAYC2G3T
zsT#?*8~o+sw7c+jG4(e6yjH2{JB>QEqIspyxS*I8ITB;d%a{i9>z86ancn(6{FHKa
zRFJh#HvUC?9x18)`|w{@)fZQL>m?<Moo2;&8TDeqT}G3wviWNVlM|ru+HLQEo7?G@
znzb)+U1p9qGX~UKfA7w8^e3tykk0iM%k{URe9SDpP&tyw{UFcA4ECAD@i@ut>BJbX
zujM+zED0HA?t#rrww1PUn~&BOm_Gk6KDO~1$@KSY*{qbKvl&W?thDZ?R+h+JN;J9i
ztdsn>o!4rQC+S@ar7!BDDoaesYG-!0sxLM!j=Cy&FDhEE)bJq|Vv=QTIiPuwiDL}W
zY@_1Y+D%vXWd>ZHHKQwEL@pMH8Wg>-GZIzh4hy+o1+o9}73soeOcamnDkM~FJrm;U
zHy9Q5sOsS1n=f6lS0WUp=3cHX@pv@1)3y*!JFQ9vfiRMinn3D8jn-QE$OF5F%EPzZ
zEtEoV%e~6oZ(ldghflrUA964gdg>!l;x~MS<I;jU6I7VJM;sQ7BtCId@~!RPX_3kk
zXU~4HZq5V=ru_+Ta>AF)hYm9-StUiR6lX=#-<O%>gFwWdgJAkxhYq$WW?b@kR^hnh
zXBs8>y!e&6N;bZ+c%%2!EvhYQHx@7kXt)dYUQB040_uU_E`Ob50m({ESJ&9=K1|Ot
z@P*%jJ4Yh6BcjsuGdHxdV0_xb??6^U4^lUIWs5#i{p7-Thx-X4H$PLxNoWsWVEH;~
zuS|&84>A#(ig~l+vAUCyIB=<FoJI5|M?WP5vN1eQolgpJ)f_SyE#%D_wurJ`8G*VV
z2AXNZhaMW==F4~s+g`i>z^MNP>8~%+?{7TKWgevuXEPS#i|KLEOA6&$wI5B>wOLX6
zdF!H!ohr(CB~2HK!K-~f<byC;wQ{_5A{JdpFg3_1@KJyFhEaIfcxY~lJ=Vp`?D^JH
zt0de8H4N{3cHig%)_M>3rB)pzGsZK=Ijz3HNj{Tre!aoz!L?2H-CtO~zEY=!VXdYe
zYsZ<0XU5{GyI&K+Be&}DL&f|vi*Xkltv`9&n@&&;;{tz?5?`pr;s&nj%rp}128oYd
zh94=MC9CW1ph`u&hl#QK9#-;xiHN)$`HnXEE|><*BsK3yA@65CVa8H|m5B1@BuP7I
zMya`x-fxvJjnr1l){gh52AsNXERk<HK_UAxx<nW4oL0n@xL9lhCU&h;nvm2y%lZ<9
z59=U^cc8X@lB~cd<h@aN`9UZ2OZ_V~FyD{Pf%*Qv%`T9Xat~*;EIJgA6ncF<UFRl>
z*q*1xn|KaW+@nMx+%WiPc=T(k@!4GCeItEEo$!y&MlL@FJ0h}8h2)C2h%Qp&QC%S~
zqGl(uAQSW5g+-m^?C(zR2Z9EV<_l*XS+8K~B_%yZ_a>=RR5}%}szE;=Cze$es|R)I
z;Z3xR9X+7OZf||AKyE*muO~Dj#N^HNp)!M4`@%h*-AX!#p?QA}N1Zxa^3VXZLE=jn
zIzDZ+c6FLG$u`a;tJbL~<4dvf@C7R-(|MKya?*Rubk<f$^~Tt_M`ude9<fR04<AX}
zwtXJU28*1cKE5Fj0!fTmf?|!hM-ROSq4lGaMIIbcTtDq`W#6Uo!h<$acyfqmMlD8q
zWkJP?1x*K9T!b=RZ4KP5&IsH%140L<`$h$!6DVg4iY(C;t?kdVz&kHs{N*ZU-{!wL
z4fh+)`;oM#x|O<v%IVDxiY&?#z7D;0c8$OV*>XZf?$GB=Mx8*SWE8>!Ds?TQY0tR-
z;D<o!o*WOzT@K!bp>`YhJl-$-YCIS?B?FGSFo6x>q;k*842&>lbU1mRVAf>$tb}3}
zhsyT0!gYbjc$qm_pSMFpx_UrjVYCX*IScw;>IZ+GH?tZnb>}A-aL8)wPrJ{-Q*FpC
z8|Vx&P0?KzQ@^sZ^7HD|tG^J%r~K+`0M_t?Vj{6aZpad4_mNfnc=fB9Rs^CLV5Sx!
z*h*(k@fGM0&jJ?Es~`6}7I>iE5kedn{9j7^P(I<4GPJ}5mFkb8=dCPY&(q<}m&Qw?
zg)$`FRa`|zT#&R|^rM2=+DE&#*-@*(R(rUb;W6<3J_~ChWa1GMG(4wV*Px=<*qL|z
z>AOk~tvsy4#nXF%9dtjZtwGF7H~1!;8RwLd%rZ~5W04&^TwLXg7-fE`rMkM3KXmpn
z>jIKFTm3haJ@f`W1=M(T`(>f)`ma0v&f^8xG1?&cT5V0uS0MNR{RQS`X72ST5_AEw
z1E@LoD|XDp&``OI3L@KO+Ac5Jv?8scnK9IJbFpPqfT#z1U|4ad*u~-mS;Z5hFEwJB
ziWj*6(H3_=sT7EeV5Fs_ic6J|TeZPl7qsk2AwEVwvwiTJNk<3ync7*BBgD!_oJGkM
z6%}UdzZ#~9fCA?hEB7pHO(FSkgM61iB1Y*P{ZT=AOMH3R*~8iz8Uk1Yf-H0#xfO^K
z$N1qB%?X>GNis(qKq81N>UQ{4nNy5^S3l`jxWoo+Z*T8c!t`cpMKh0CKp@nkR2Gaq
zt2>KYHyL*vV+@UMPq<AN7^`0-lh#q?)9st?reT6W{QAE{>@3V0Ea*u}ut6`q`4oB<
z0(rs-sE2B*rkcxoFc@Y_{61)MHPUNZtb>CcfddgwC<l|GT{BHc7EoDDs8V_ll^)t;
zlm{v-EWCoud&M~S5^5nCEGToqzp8i2{)&=8zhHCZ)+ZE$sn_1j9jFINrTippCATpq
z<QVU|J?3Ksv$NT(-M{FTXo=_A91cS>?rD)!v0BNwvA4Cga1jrKbEYCHs?RHD3EK##
zbAE0iADIEE`4#`T^wUo<#MM=r0;wC&Ozp+OQEn{SRK`#<6D8y1S1I)v3V$BWbheJp
ztdPjSb&;9DEQ-O5IV&?$UuOO|AwX`sHgZPhE({mup@+?k3z9HWnrYgyozm{o``o9t
z;uB&Y?Q%B-w|sjC&fSXAV|C3fUX5=Hte|2eDzH>~sv$k4$M=xTt$C7i$UuS4t-kc7
z3iPh0G*sfqM|Fv9^c=MxVl)MOYff?Tlc=4EGTQ}>V+8>DLP=uv9A9?y(Lv|Y!H1=a
zZ$>-fp?JKIpPKu@Vc1<Z`^P9*Id)ioo|KdxvEhh#*zzTc%$tF<D%}Q~DcGM^&1-=^
zOT1x};dIMllqBWb_8yhvUShZI(Nb(`{8+ONTp^J4OHt=E>3BxuPC4-!t4GL-^;1o1
z9WyZ2y`L;m6cziQs2J8F@O;(3Qefz^yj4RI>WfL8{mzr`t{ghEg`9daJ)={%RACE<
zb2N&9`_?TJ8yM^(U=KgQYo(mxBZWbYvb?3l-qA)nLEg%NIhhY$wcgR~2SeVkI=2DC
z{&w%0y(8$XDBI|&SceL<|1k^=(hM$H?qhJ+){~MnJBwg6perMYQ!H<H%lye!Pq^N5
z+6a7yG-=oI_D~ns(n>^k>cHzV1|5f*j>Myh>;cM`Uc%^I6(&wbT{U#CdbOLFKetur
zEJRV&EW_*AaS)7J1<bo6v(VLMBI6u)!rCuImL3B_1*!+|UWmM|Nu=fDYWMBSuoYqC
z^ISwS3dJ@n7F>)ifmSGBWR#EsX{gE|fi%ua@1)uS@;BdblL`c)kg2I@?N0-btm2aI
z4xb`W6lQIrfZef#qV8Q=i$V1{J3GVJVu65C>&R%4G9_jcJazZ*9lz&OC0jJ}@gxJu
zz56CweoaXe=o7}lQ$mUr1{jOTQ!kbPXBBRFUT|CTJKPR`IQq>N-sSNbsCBrx+e1zH
zhjCJkUadcWGC`>>`u}(i&C1Bw4KChsuO0Ws)*uKaQ4tYu!&|1~BO@cVva_>2wk6M*
zwQ0guCTsh1=L9aUKQMprs;=iX!KL=r!j<wxv}F@kU3uU0nCUB9&XrIOrF&0r8*R^p
zz~8g00t#Pexz-?wSF8}%BffL7mDItAzUpJSZ4lt{(wHl=^8&nHqYSPWi3*uH=J>l>
zEvsd|uYV{q_c)JMldY21ErApri2_LjiQ;D}tEs9wfDJZ8SN7AJl^DRxa}!4OOtC{a
z{&YL)*#XdGv#Ir6J9dO~dz>&Y)n%TOk73>~1NU&Pk=&xnnmRgtysE0I{eU~875Dch
z&^%_}UX#}{S;xy3kH(71e>q3Of0w_=4xjdp>I(IqGyJv(pQH?%Y#r5V{Kl`supV^H
zOs3IxY2`+h-AA7*%vThhif4ADrba$KKLfsrULNgFOiHNlmsg%CPs+b@qH3)w+-tMY
zJe&nlVOG=$z!?WxN$AWEy3O`wZ#_6#IaQOP@MDs+Vtn~vgYz44`Mb>C_b{+9#c2WP
zty{O^cv|cN-7-Cr%zs9)vsYUOwk%A;{tP`NnD0cDKG36*bZ1MFf&poMkK1l&XjoOW
zjxM?_DKO+^)K9Eo+w-hxz8388f6*}xF8#eov#8sZHHqNOKA`@7s<iA*ezMbP#@JLo
zLbvJU5{(uHtFjW0&dXC{Ftd#~o|nr=cI7mvrn$Mf2B7{4jWLewHU`DkI<<vQb%FSC
z)hx;ohSo2(?jwvYrK`r5$Rd|2a8)>GAajr-rDr$yD1>j({kb`iUn+h2={7a`o%_j2
zeaoiAbT$1@3T%5h#r+R&gqdu^-h7)NVuvi)+MSK@QcVso?=r6zVNG~5N1aDIEq%_H
zue%;xhIU&Dx!ZMa5577hs#K8)X2-6**fPx4wnkUe;!dn5o2VYxevXd`%Lq7$-CgEd
zD5jLH`UV%5)kl=~okmX-&>Qk<hP3tc(t&pD4P>uZP<}-vWp{N<2v{F&V55Q)Bwzfm
zDjn1d&;Du^jD4gj2vXLSh4ds`=$86m)8}`8)sE2K-rg#%%v$$~|GU`1y($j?+wY^U
z`!&F?e~!BW|NZhf691pY;nwXT4hTe{P}TgR*+ogo!@EOsB#c=$W=$vs!ZDJ7K&k<i
zuY2m$H+Spf^W`JDl}*U2I<#qT;Ewq3f2O|Ye_V(=KGrw^;r?^{*Do{bER%kpyD%KB
zUD3F>(k)Fh5lY{ay6BvOxD0_zpZ$HYiIZzCg96e?#T-F9ZV<m##c$ox$K3W5`_;d<
zs!KWfk4*MIdl~cm_hRt5yEWgT#tXxV&F{p1^I=ZVDjBaRDeC*x??RJxWTBRX`rNr(
z+MzTQ=CnO$`JfZGg!$NwGJ-jeFRx1!mOW|i2he%qkHEpN59RV$TUmIMvx-(NrN8fu
zw%0=fD87KR>As)90(oNpw^hw%NBd!S5+q*OuiwiYpMNJ9EIz;EQL3>0BQNIguuK49
zOS2z%%%vyGKC3ZY>>^WT%ChmNS*jv|{MKkdFQ)~PC<NHx=YI3(7&f2+e3Qm=C7sjU
zd)r0n&9`h8!4G+2`S*Tw_pekHD3h2Kx!~BU$6_%ll9Jn+LSH@$>`#|{u5lTmQ{`M6
z`!s(v8uh4E>0|4I)8|J>>poon)2$~bQeUPWt^`O4jFxZLyB9GP7?g9Q^?6JgxGkQD
zBzO0#q7i}5_e)CpdA3>1scC*$kaVg>XUevp(&OdQ>v`jacxCj+G=^?*bC>8Q=3#Q=
zsA=gVMFJ^*2xKd8)SXl|%=Rdeb0)NDCKzgFeD1WgYwcq)OxZ_c`J}1}wZ;=AO7tZA
zscn&kUk1*pdVM|6<w*r<7*W~L4;Lq_HWz)FIxFNqaNg;i6C@B~>rbCjkOf_#<98ah
z72~+9(5ShbVwzqoR%EO1CL=XL<mJE`J5<jAHU}NzTW|ooJ|1k2`0c(IElBpBoMM?m
ztO=V{A<B?7tob5hWl5|<A9=`Wr3UJ0PL_Hnk6SN>;Z4xUqH^!eN;tQ+@ZO5OqO4eX
zo7WgYQKhHGg^kn-aC~(DB}t0vU`%&2qY}beJU1`qHZRV}l->52s&LoJ_JS{-IHuNL
z(TXm~MMsDcI*m^x5cw#4z&>Mg!^bP8PXY(61Iy(xT*wE2RAvb^<^Y;@g|Z|wCud7k
zL_|KPxV9K;a?L6b1$3Guwe(W4V8QB;sR&S9j9RMTFDfk!iFS%bnF2y)<S<e5d;igW
z471}HIi9vY2li@KtNzV@RFI*bJd8+_tTT;$%iGY)!Q9%J<INUqwE}TQ6FsUu%1#SE
zZa^{o@sxa&VNqL4#<4AZe7917q7qnCb=tLl@@wbZW-gM=tc}LFKjEDJL(fd@Th9ac
zB2Z<hEU>S(t^DR;#u#>_NJXBc<OToTK!H>wE?gT_F0GDOxQ<EN|4QAm-f`wQ_&%)u
z<8<WIcY2Ell1A-A<H}hlS3?+Bp$5Z4!V@*#!8b3#b36FBy2NCr;3Q8_Gdlk7qfNca
zRWxH!X>oCJ@e!FY^#1-nA5=(QS{kh5-(CP1Q&YJH#(2TWy#}S1s=_%kFi@tA#4K!m
z@5|N$zzKk+N>nyulei&f5K!Qdhd21Q#YWyCv0zIpZK{}K8;y|)kwOAG$MbI-jO)0$
zbsC+Pt|^W*O>8g(eUfU@RGyB3rnlTx=CLsGq*_T4(NtClL^d37ATr;3m29Gfd1VR0
zIKDzJ$F$a~<W7pyQ5O?#=L!30n6V3mM2$eBlIE?*JDNA|iZt?wHs00N(kk@oy7GI+
zY*rox62-QFcJ843JLw*~vP#hzYlP63(9Ze5e3d*3NXm5pmv!~@I2fDu!ca?~&wP<e
zqX37Gmpu9Q`ks~5!XS2tMadn$*qiA+-@Qx=z0-KNM=vRFspi+_9^1kJnMiK9({YX1
zIpkL{Hjy>cajeRXH%#$iP*9K_r(nyln|Sr3KfUIP4$s-1%QueID8CYQd8cw*%R`Wz
z@vvV&j!5wh;#1FoCN+TuJiH+)5nO13kpeYQm!_68RmIqw?4w*(R-Kxs{uXZglEzoZ
z%?01Bs^iL~LBWRZ<Oy5bmoE?AqX<k*v0MvR0qX$d-MGlITL8)IWDIuz#hI>E^n!w{
zY&|b_Xv%SL?%v_m5OTGn{$YiU(7LDHZX>6T%s^512o&n9C3o71s}F_r0NtC#2$<`Q
zmbk2#moM@Y?cj_TKdcY=l%@s*aLjB-naL(^?p|WzEnlRj6HYoAT)m7fhRq!lBMxte
z7u~^l$3CWlxC?oU_(o?9{YOogc6FZIDa|NB84(Q~(-TL+V}(|-!)cgrR_gBe1ye&c
z<y<sH7)K1f2`fqH>R%PT0P`DE619@{dsSK8R3NPUtE6L~ocbCtmvY33&*aEi0B8M?
z(kG2Tffj3^4>Ln-UpYgeweD)v8sV^e@Bewh`4g-N>vbQqP;Vvq(zl9`{We9rz;f9M
zY6=*mxt9rpm_)?>!Iim!TBrM8ND(!KzaHsBC6RfDjH>g42xE7FxCmG-E?&yS;xf$&
zc8~-AW2?s|_S#`^?3B~keR&7=+^ycRG7y(-U7pSA?dfD6J}#<-Uj?D3gE4z9Bd@<-
zm|2rb>1`SiWn^k393+Kq`5SFVGYaZH^ec~!>XU6}a?dEA`b>D69&IVVHgP2K?=_1z
z*^t3cirKHG{A6A@M~CdrN)n_quIo>4E-dtLP-n^T=Sv^y$?wNVC#^a|PgK=u@S%}@
z%Wti`L!C-cFf!k|+MLJv$>!b3a__(-v|}T7IFG6-NAbi06rY7>N1R)}YPNr%(hZ8*
zM8=(~@3jpL33|{ZDSL#QTRE%M(;HziJkU#*E{y~Kz$%{5IaF#ljzuDo_5ghs78Ja)
zc6Q#je=nNK7S#CGhSuoyT&zkEZp%lKI#He22_<oT-Ck9C#!e(gI;PDcG(~8K!T3*o
zL6(K7nl%hNYM8PS+jf%IBlL*aUDOvn{<6Dc`cRAUfGe&yDH%#ED3=Xsk6oJ#TvG^d
zvoR89@HZDk`&aFI2B+v6P$uD@H>=DRYMZpP2wn*0-&*Q-yg832{Bp11{nBn68&b#d
z?x4cn=uyYp&{k5S%u4NG>|XH>&}Qfle1jGWZ+?Zz94Lnui4&R~Q1n5o3#<~)=<4R1
zvuQ#ZL|%$1$J*nMO(9dbZEzSP4;_IBXS%lM>1}U}mw@U4=Kliba$<G4X1@rl*2-5S
z9^;silf%dm(&Wv(kPXA;Sm}R#a=*@iU}n|^*UK|1*GFb$W!YL;TUST}?M@EU>F1sR
zYUFnvGi<2)Tr9@u-aVi^TDY?I0eBc-pweE(rbkRTnl>Ac>>mAHJP(nFOLihAH_~7A
zjpJH3$D(@YJh-V<yDYS&ucN4%$eo8`e3&g4AK55-Dk92s_YY@967-Ee>&ubwjw9A4
zvH!ldwLYnc<~7c<9l)fiu1Da8F6+3uw_G>w56k$97@q|UIWZ>tu)}zLKu+39^>?Aa
zCm*|HYozU<m$whgybFI9SuUhUWIA<Rm+>mqOS&`pHR(;56R2!?#~9^!&!?Y}^|npY
zmsnGyj4_&ESlbWLb!0BDe7TXLzFAFwuVZEy{n-MF6u61$Zxk?VtU?+eJn6Ohr|54J
z_`B#&;YbRIAPE#LcO$HcEi)s-vH<Mev#B^lfv}IMaO3Sg0FddB8=$Zullu_hrYxQb
ztuJ=-tQOv-l4+$=R-@8|+TXn5Ds|o6?QY(!an#LJJ3~G#Di74}-!(Y%nqBlDL$pUP
zb>s0iBd=#dUWFZ!8a&$3SGdg_0{1H(uI#^b<w`AUrZMLG@()XbgE5|foZj5qKNI8u
zO71cWm>ID8?ws|E&o0I?zr)`lh1fe)Ohg(R>@M0uF-r+t#--(|NqawSdA)2xysCt=
zqMmo)bft6R!t-#W%zbA;$)rkHv~OyvE#mc9pQSt2Ol2nTJAnTXALfm$hqAXK_hqjM
z(hrOSF8|<Gq<c<HO-(MCNlyqnE1T?6v7_5zI1#Xb7XktT7;=kc&i=J5tY_(DkD+sN
zcz~CoqQSr;52c!|o9mumYo-U-eB;#m40Z@su|!b96j}AS05!WjZ>b}EtBUQ|wgBED
z+U7Q;B9`VrLl~L4;`g>)8WLl0Bl}O!j!^68j$G_ntaiw~>-+%Swe@Y5n&@tk{(f<=
zJY3uI6~XW;EH!)FrZ2XEyrPUpY~t`;qoqqT8q{%DRLZMw4h%-}7KlksckY!R2fevD
z`+OBxW0ipdN1?>2PJk7%r^HG!Gr67yx|v||0T6lc#n0onF~Sg*6eiT~Jc?&*%3pV_
z>M`&rM!EDm%cPLVPlGP~%NAkrQ(%O1Aq^;OQvk%Fe;dRSfWR15vkz{mkXBS&VPU9U
z+R4**TrxeNZ_2<G`2&&u(W(B$N$J<1TKIkPi!`+#hf7mYId>{3D^j~tRAs9-_hPGU
zwX#cGQq3dx9u*0PVT<Dp*rDT+lk?fN$LODtYs2~knys(5m&Xv4KpcT>LkrUYv|DSP
z7hB7+z>4<qZT%z>_az4?FMjotA4LIVKhlSxBeqUKhuMfCVTvQ=FWTdx4ukc9pbuO~
zxt()_$Fj1rXnG!i+CzZ22d6i~0wbH6Kx3~yOg#^cw)@#_P6qKg|GVNyho7A9KSh#c
z8>5^2(Xdi`9FuCN&Qv*m_y@kf7cE!i6J|FezVy(Zq)#P_dNIH7AM1@W7Z5y^HoBav
z(yxw(hxI1Ej1AhLc+nZEw^Ph}VWBd@R%8poL!d(f$SIoYMfrVTXlTffO#=zUkr2uB
zBDmEX%~}opy7X!;JuBFZ%=gwysN6ohNbzD$K6!=ZL0u|6^-F?*g;M;lYOi{18mO0p
zx|w^I_YY%1a6|i|=AXxc$b|hGLrUHKS8dN~yT>9>theV6@Wukw{gIeX3w1^(tM|5|
zFRk=sVbRihmo@vQpD{(})>jJ7EM8I7;6>CLcb2kmrNpL|%Q%2*LXMpPkn(5y{4L|@
ztWS}}<17B$=InFZQq?8S{RARNm3wT67oLwq)jQu7gW8~Qk;}r{2eqJJSYRr4x4bSr
zJ}r8YpNZGnas>mbXP}Jl_^Rgk!qO3X;W?n=j8?%YD0W{`4eyrbk@Ii$L50J(<&s3g
z?}^U)TmA`5K5oFJbTzU0k|f)Yi|eBTqvEhne4M-^c82~kg1QsOWk7dzu_x@gFjYmQ
zlHY9y25={zZ&TqS;5T(^w5ko^mdtv$0LflZHwYix?xQsv6RC4^U^LRnxrwkc6s7pn
zE>Mm4nbEOcWiPe{1s9m$#2jM@v!9gSIKINQcK8lr?Wb2*XL`DNl52AlsKDZ4b+WuY
zOLf2|UE~SR=_DS1@Oia4-iR7pM(pZwxe>ys8n{p>kA|^}R(=9&;}^jn`JgXRL_-}H
zyijX!aR?KcSuDv)*F`>cdb<HC7pLfUES*ez{ms6ceXn$grH!xjr88D_*zl?Ht(|q{
zlU>ivG}{J$2%{Fy>e91X8nWW<RusPlZTIo~VSj9jK0f|yx#fRHn)&Z@|9=_O--?-!
z@4rXY>`;kv&d<uN55Qi6BJJ@eh)QU=zqCj<3Ao7y_14nN;AfGPcMPC7Qm+H`|NVuM
z47P=1bZ%lbxyJWbwi5?3KjY+o<{27?w-TB=)QFB+O<qf0wP@vI$AleFJfcIG1SiCo
z6;aN3Y=)=&tK8@2e%|+g2M^L53seHY)Yuo=?=SCrgZ#|zk$3Vxsf#;<JppNj9ZJ%N
z0dKKBCKr?g{NH>U{+A3Rw443C8<%IJv7%BTAwb(@Bd8?AIv>quv+&BfK1#$UAl<3I
zB;$LJvU@QiS1{Atb}@9Ej`$oa*3QorT8#O)a>}^6Tn8`eZ0QAkTFdHY%#HANj0X;)
zuAF2aAl)&Qz<z6ckh-pEowFwW&OxZxzRY<`(&L53=H{ujz>fGVmzZ0;LkcxxOJG~r
zcao@XaQL)9$qWPd*Br3rnF<^gFab=l8{b^e1KdE5vCIxY2458LC=Z{4cZb7L)A5b$
zP<Y3!V;j{$V>8G^XZD=?b2OotxN3)T#F?yWZ;uz#xLiRcCl{#i0g_Z+qO=I4UhYA=
zq&It`xR|lv^kemmoRX9LIDvsY5Ecnk1Yj#3i|n;{sH3khF2WpAs_b3~3SU8q!^iIN
zAc1Jbq4^5jFCglxf_9k!EEKWD3++^lV@0@*SB$S7RTN`ofI~9r?Xgxb-{gP;1^z44
zek>h%;cUX9qNdzXt#mcxxFuNQmvVsMPSd3nJ8~>+cSJC^WAo2mO;Hb~T7)$P0cTY`
zUJ{z6!1b1k{Lo~W125*Hr29_l(7nkhTL#WHBPyT7b9TqN@`>joceL?R%Bcq9>`*jb
zIYoS7aco6n^lr7bxo_3J)NjEJQg`v#nXJxp+3;Cl7|PHij|NO2VBSteMyRD<$pb!h
zeWbOu^$@%9j9AAYvcrYZ!i(*KTc$z}6?^Uy{j`$18YYOp_TW`43Y4N>zAfI-HEU~%
z<~5AE`|`?%r_eza>)L1PDsbB%udg+-y4?65MecS+-0BHk+y|at%VlfF2F0hRq$J_U
z)9rruVP6E|m^PLYTn!|(a9+N7Y%5CUq!WYJkGxjc7OGue+$jkOKE>J9)Oi(vIyH@Z
zc8!`taf(Z*uEQh7GTn;(QQc$C@$siS<&QsWgbs10<>#Hox9nWBr*r4ay^fvo?2$_Q
zvhcFuH<3;XE`#(x1ajC?HMv;LzXPrWjIXl57qCRLa@xKO;0CGT<O;-#Of0aI&2@^&
zJEyDml25%>D$}LGpP#M}xkyd3-5m{(S%hZUzmVC-(tkr{U*N=1<IFZYDq>&1l(UL2
zo0WP2{#()jQ_pN(1Yjsb_^<FkEe(_a1y^835Q1{hn=xnR<pnc;-TSK(8TLDyuJ3sw
zoeoLjvCxX^Ky0m0ST}%mhV_cuja5Y{vL%Bd<7R7*a5BN=$r}{DP<3!{SpV=IpMb7;
zM0*et$?Dd8zWCS@1^^l-_J0o0fWEpc7(lfZFK%982GfpYFx(m5$zLwf|1!ouv*UEL
zh-qBi>Yc;jmuiBhmATR*3!#6&+@4<CxBUa(xkQgV_%mr0(ba(q%b5EZk2={#0;ycN
zr_Df;@sePb$b^IL#>|Fuevvs$!!UrMVghl0ifVSFc=E8vnPjShZ1p7Lq=bxH%fQ^>
zWZHS+>%Q*pNfXcY2BLZuY2D^YS9X0^ty!SPt;h;|oy|W=7WSV<5TyD!!dobT_RtQ5
zv++=;+9@$Xc4M>LY9LToe!R>pA&+@87*``(8(qut?%g|Ym7C$|a|NBgFC`bwL^3sy
ztcoLgzw&M~M3Q?B#lHe}DKAIY#`3h>K3D>mO>30V{IL`BuVD?lPOuIu(H$S|%_?lX
zJfFM{Lh!|AUx5#LGu#H)<|kt`r7jIeXXAV{v;<xpY&^dM|E5(?r1GsK$`^hj_(=<<
zfWF+bbJw%mm6(Ol%c~%hZ-4g%ISd}50AEKV8W|&P-OVPLd|5{bf-*zPvum5ZPfon~
z*3X_Gl1xc{``3o_MD={~$ABOKJ;k9C_wB`Kni1PTt^#bU0mD)@;x?U1!;}M;R^ueu
zF~I@YT|IKkXG%;avZ#-4GYH5FAJ{;Bw23VjICu<MTOy*PO>G1Bd{LRmMXJ-M^9*V{
z-L%yBFW3JPP3yc`g4F(Px^s&8ZVat>s$6;1pmM9cAT;adm8G(mOk)XLdbO4T)(eD{
zV+n+%ePk8=x$y;uDomBhvq;v^C1SOV8ECEuJ(X4G)UD0Ii(Ku0CcgdKp9CLK+SA5S
zOuioRy#$kP+>?GftzJFCZ)3q)9fmq9H<y@=>SR7H(vO4{-40V!i9!L!xe6Q_cmmO4
zWw_K128BY!VpVE@Ctkcb1bLq9PUAr~szufY&Z%-s|JuSZt6N*xolk}z9EDqk{=GRb
zdihG38sFMN+Cu8SvcgButs>qq?E1Syni7_H<FNs^HPa8KtIaRtd(AdV{tdbBtma)j
zAhz3VK=<2rKiejn48dghxtA?HhUp6L>Je8QdRRcc{P^JubF``+gP90$A$Z>~VYmA2
zXLy6=9<vVIlLK-_{z5FWCgS%)7foplfdc%qS+%cs5J}NnVMg1OftPFJYx?89pJ)0G
z3f{qCcbR><!&XVq`Pi`=Q1F!1x-|UuUn!`>5XNDCWt_2%gqxeY2@uk8rTxV?VVJ>X
zp2z3DVh;!CHb=oTS+-FqK;R7leaZ`IcxD>5wfV)Q_cb|{dt{v0NXgOB@~DUBC-a1(
zqkgGyA=TlCSMQ&RpCrBURf(V@o{@XQpc$3iD9DW0+Y6{zuDHQ%D)jXiiL(?>fvrYA
zd2fTFm7vt4%T{t!x6YnE`KsuXA!kGhG`{8O>^@NdeofV}V^oF1O^PMNZ3K=ZRG^nC
z{QUh_P4-4&2eo4Ex*1Vav1-swe6gxuS2WD$sps-gU33(-p-m#pq=_(FEe&x^B<Sdj
z)S`LSnHBLBC4zNt90vWORTmL16MI)kX?+gFc#`z17ZwP!9SMYYsC~(meVB~G^SbPf
z=+VRP>NRU6Lk!`ItL6Jz<L^k&twwSl!?SGOFFw7hFSbCPaTTT(nlsSz#J3gJ#%g=V
zFR6=5oTFdMT4r)yf%8ev$HnLPadSCbl$glP&X&CX)}HRGE2wQDF1IWLnL{Q)jjW2i
zEC;{G8KCw-4}xZDjVU+6DNT&M6!GA_2h_^@_ap+6B`bz`42m)Y!&^o!%5`T3UYpQa
zVBZccj&pJ_Ut!`+IN_2T%ivRNC<%!fTY74#rFou1C3iY;C1Io__l>AZQc=&|xXse%
za}&Znw_-oJXU;L0l&jZn?%}j@jqpYc(JcA>d_*Xc4g6Rw2QBn4;DxTg^$so_UqrV9
z#~llafsfnzn{F3PPTCqss8VXdn;<<yLytT5YCzu+MMS(AaCZN8A>-nRgVrrYh4V{}
z#-2-=x`|6X=QzDwMVv41?qB4++ZV>cBv)17-tUdxb7H*Xz22RBVC7-qFk|C0i&f+E
z%Gp(k*?fQgA$+cmmCNw@@8+PURR?@Z!J?)RqjdG^_$2N<k3N2wLpmV&BMC62cvXX1
zi9Q76s$+{%w1S4y>91Z3m{c-sOcolQL@U?*>)dy8<!C-cGGRAIzc7*H^t%U7UGVup
zFw`aGNYl)`o_iX*s}mWpTgn<BY<oqfUw*b`PJAX$_0y~Vn~OM)#I$yC$l=O|1?^N9
zBHrg>y6%QQS$fx{2`w7C$=*s)hsDwO-7QwbX1_WPnz+{NH0|I8sXw9Q62DmTQ1;|x
zHAI6Jk^AM#m)nnq!7}0o;)8Vxr$qH5&bx^%&zomnjiwu(e)oOhOu-G&=%2=<MZk!G
z(`FInYqA$uO9f{)IL@{W+Rr7xO-?S)FE3ZQqwwkLQ^msJk9V>V<%i`WUX{gfnub0)
zJJMulO`P>m{bfwhDYTP2I?~<5Q>xB5_hgsN#;%NX4?%C?Hf1Tb8E{I!2RpLd|LU4N
zXr1`mx<?Os0U+=Mb(&#Z)n*6H+jG+7RhL~)@5(7CG|d1dZs=~;HVAUl+jD#>shS*l
z`h{uP_`R1RgksP{RSnu)8(Ujxv4G^6>u*zz<zt&4@QjBehww`6nE~ijKCwSr6;pGG
z>oT)Y<U7isoV?XjTDQs$K2*y~g>-g&YP7IWV{n%F-7Kh5<HNJAvRYa_Ig>``&>Phv
zUT2lTJF?|{&zywW!k2>u**@9thf9wqEEI|IhkeIRME-sA%A$_@PyC_gtv-5xE{JT6
zAVL2*fi04Y%;fJ0x3nm#{+^(ncE*+c&&Qc6^lN|O1J#VZ^RElvG5_xi|BdngDWS;X
z+&=NU$%~zlj<eEInO$xknRC~Ju)#Z-=SQ>`trV~N{T+6X9EK408I>DqeA{<X-Ent>
z-)eT=$Lv1$r}$r=D{)_G^y4MrxM{1Nv;>f-{d@-NHt(59CmrE0aqHg2Rw95by4WGP
z>PfSfdG7nm39E?;CkbLMD9pcHfCZ9MU2Z#l-IM>VJ;fTQy_HBj(cIKVFt!a^x9V$F
zFu1(`&{p%$Y{is`T-RGmbjIrQqk++vMXvkCL{Odf#G?tv1*iRP@WgS#STv}sJ2^T!
zio9L>c<wuc4_BQ=o!p-1VZO>uM@ts7Wn)fSW**wprKLqhZIH3E2XIiSZSp8JF0+5i
zZV$57oqFTHJ(m@pBput^oKsg%)%2#ICcQkjxmRz|nV4W}Wt9m;_ojy$PCBbFkOex(
zJ5J#EX-_M>C>+$LmFw|cCF}8x_sy6S2F)_MCS}p_$qo(j26ue>7>%dk+cn}C$wp%k
z1OJH_amQIbc$1Ve=%5#6#kqgH0O0M_q?<<m?*Vi}Lxk^%#JATloaENcfp9`-NU7rE
z;!IwScXfqY+u9!9x+k5KRQjwTAP5310=#v5u`099bxU_*+dhHaR3YTc*ohn)OH0lz
zu^q{YUzNBDm|Xz-_2%by6hKM~N}fMD-eVm_M@#<BatF%?xf8iy8#&=gaV@FSo8sgf
z<3iif3RbQ>Om(s3$jWtyX$W5M&GscZ4aofBV!&rQW(AERkOH#-Qo^3ylmDA>{7+q8
zD=95yVOW(O>wnX`@4$19R!$V}T=0l<glRPqyVPqi5s^4U_uwQ4ndFPk#A^D_pa3v+
z{cXMM$vK*B=D(N89Dc~%ZSPuTeEig87AQtjJvix2(+0soF1II25%i>f-g>AZ#65<{
zKvM(PecCzFx^AfuxQol-*W~11KY@XMjzsVIo!EL`@Wm^@<xD%<nN%yYR{!9OJ$7T}
zC!EbKJX;SfE&A5}9uh%4`=w+hvgv4R>5XW_j=c?m*{O}UbYvqHwO{$P39EJ3+a0G3
z*KDb(c1P0~x&P!vt7g?6cq4391B{Yo4p9Qp=&Z!B>CV7m$r6_GS4~l<ig2abJ{>Lf
z+UY36EP$vehZDtjVjt*fjzZZt2Ls+5&3resU7-6Zpq1I1R_-`=*z`D<%W7G*$OkR~
z0+tIjl2X5OCOuOlhCZb^hNZX?a8ivGFxMJ83@@G|z5ceOMj|IGYq53a75~nt%}i@#
zJTNhvo-&GUd0s<xmtL;hZSduewGWs}FyBi*qxntA9~KuE&pp)Gl6!LVYe7N5#sTpA
z*wIZQ60gX0ud`OUJin<Ev|x|HVKfA%VmJf%pjowKJr`HJUkIBph34Jm2uS|MK&|10
zd49%K2e+XUj#t~TXe3!^MO7e`7JalE=rw2)!nC~!C~kp?KG)k^ku{t*%E!~+&r8?&
z=v|$=slCy~gn55X8Z2Qus(0VJ!A|e?9P}uYODl~LScw<_P)G$2qYBo+-AyjaX(Szy
zj*g9u5t(rX5A6mE%xOsMRuEMsB_d>POY`$$CxNpXmjp&PwPzu`<mKSTbFdO*EiC4a
z>6{<~1B3BC$KOp({UYxKqQYZa188As`S}h@1?E2?r|Xh{W@RmV5>GaFk+MpIR*D`y
zAytqhjsFN|p=)JaTv|$>c~x!-NqP(_^0OfRx^K_boR{mKi{jDW;H>-pj*5Tq>(hEU
z8yg!I60h4M1eNq2yBC2+!@B4rnDAON7||7KVRhn48c2NIsC~m>>?^*|fuvQX)K|(L
zKPf{J?m9bb5_O7gtAnDIIH2a4pjlHOdu&6u;hQ^Aq9nD7Su&a0ww=YEGpbq^MgViu
zz-PTktE4gyQJVUu%}m>^tyX444i!G{=$k&LF0BEhuOG1ULlUiDz8o1M9F*7$GiPRI
zl8DiM@aY2otAMve!uw~Z{C>Kdf|PyA;p|wkY^*F_bmfII(fD=~sz=7gh;yOA$@9TD
z5ugSvwmrXt2MO;M>q*z~-9}N{t2p75ZKoGIv^Uk6m!78nNR^O$W#>7?pkTmkekI-5
zd!;1*h?|GYP2Hu$PHn?u3h;<cFIdKi-1X`3gBr1!_b^fQ432BC5$jX$Y+4SbomD%=
z(}kFg#<xcr<Hugj?r3((Vs-_;c=;KDr&4Y{k+N?-*xO9UOUu{{6|w#rZSsNKc3$jN
z@VWfN<lsqB0`2K{{1B98=JJ!Nek?Ze%%^ar)UnagBgli3-%QQ^rjl*g1M(^WOA}~9
z)zZ;2n{9$LWXWLLI3{($ACoPiBeRC1D`38CYS0>=d8DDSzI41hk!GOLXu$j{?*=4m
z`D_DRO`N(nh3)TG4@kCjI63(`RXJL^8{vt~(eH$SBIxZ(!T^{O+`bpVk`C1+KhEyp
zCobluQQdHFZv;rXS%CPcr}u=sxD)#T>{c}(B~md`=Hz8%4K17s2Xj;J?KxWtHBQ>o
zA;3Z%`g6tw08^SG(90hB=W@1SoK9GR$wpM`oH`zz6MPgkz!c)42zFZQsm7oyq>>Vn
zl4!Lx>|byfBzTc;g8TtMlixW5Iv}<uUePMw9yw8EwzE8#4$OSB9wuD_12IX079GRM
zoD!5}OwD8=WaIN-ae3}-%y=_c)&afN%!dl}NU|SL3T5BTV+?%m`;`<<gW-{p5sIpt
zZ|%2$jj@#dRnwmiBO6ms0lJn5wuQqhyW?X`g@ZN93nCx``@p99?VH>o6rMcy9)ks|
zQ>RnEV)*-8R*btR8;qtYCaT#JKeqmSd$g?b<I-QaI#h`ARl2$M>|xLV_?+%9T(znq
zoarJl(pvP7$j|qrA+8Fa`3K+LDo%RDW4D(#+Up%~s-{(t#B7h5+9GF^I5;@<pQBxr
zCgEg5Tz3Dq11@=Y1pW)1PI845Pd4m3>=UBlIiPE&(9rKCdbp2R@0T*2+i@_y8bfnH
z>Pl)!h9j?`Zo4{d;@%18pD^{Q^mUmiAQ{3@d6Mrkbe$d{ttw6OU}$k=EiVnL@;kqF
zI-uAonnb;6>h9GL$)p;`mastKE{pWxEmyu;k`fX_-y?Eq5*7N1if+%H#z1F<KT}!T
z+G-zNK7`;?6@XN;44|9#!l(M1eBAEUG?jDKl%$WD;;H9ekkqEpJ=$?HI@l*&gFflL
zhDTCRlQ2Wlb_BgTOZ*ybfFdr#??pWCD%kMIL1-#ydQ5(UxhC=1?%?p#^(91Il5fwz
zUZVUR?7bu=pYl2-7cWy1wGh+sfZ>t8rs9;n<skZFQXw=e?Xn|2d>SPZ?aqv`d`Mf;
zT~^ZD6Ut_FL;U1pssmAb@vo<1PE?WYvP_(<Q}AWMm(5-e_%bO&GEU(Ib&z}M{o;{P
zy8+pO|FZ!%(FUDQ!gb<xm+HJVjm$kZAqXbY1Lm@TUyB14zPIlU7uQAB_4~~E-U=X@
zcCLf@rmpw1GTEW<A|v?FvQ9K<P#r6+?8rR<*F@R%+U{)MB+_lEJcgFXWa3vJGp!!Q
z{gOh5G`X_dtKJQf<fK?;AS_t0B~=TU9kZOq5vuTXHOd_>0ERVAz2x1d1*`VSqAx$m
z(a_Xm$p*;QqkwP24O>hF&gdMTGj|#zY3n;=NYhD;r8;cLyzU8%R8sHK+pj?oHG+vf
zS19NUD_2B05BI!F85=ez9DN8rrH_p0354^(qC*}GiykMt7;D{O<X8wtgIP6$n9no1
z(H{H8tIeHLD>ilX)%yghHHisy-A}F>nbqa=BrpS9Bw>GNeJ0~H*Za?iJ@YE5z=WR{
z&ontr5Z4bm2E-vNnPI<950m+rQ7&wnQi{t&lz5Y0ZXzTxK4qz#8k0|{q~N2~>%vh}
zk`+!7kCexsIw*KjPrM8eb|Dm0%6Oza`%Cyxuj~aI?&a}I9Tj;so+QZRHyt9#il}Ih
zMp!0xNrrM$%APrM+NQ7WSB!d{w}UB&nPBiDw2}9i?1lNIB68;HF&%-!Owz3m`;JB-
z#M(1mc^0`7tOTpV-#7V(VMM-Bpb+bKlv`BX%!|ek*!h=cnhbM}xybA;nUih7J8w7E
zz(Y4f8it9S(rejhKew|&$M=bO!xd#I=6ce`L*^kbmtW&>6J1%aZ0Dl`^DW}nVz9s&
zF6sR%Qd^g-Z)RGEiL!gC2AhWe(qosTM3R}q$a0%ka%=t2XSWZYOtB;E$ozfAADw}(
zlFyQYr<K!xZJuAtKEEUL$*pc}aaW$mI6j(Gt>Hlamr<VxX&j#OCDI#YNQ6!r9cA6`
z=nN?B?C~BD>v9d*DU<g1U})B;<Nieqce84+H(hZ_Z<<;;Py1%(@by@tvt!aouHcZW
z(YHUW9p!&Rs;(S&fs$~i2tx{$c=s!7=&*`^ERXT&5p-<$-s<%#?V+bqM8C=&`l0$h
z3I^CU@0EO+F0v_;elzdSnrA$C{-O6l@Xn@Ty)#`eE`|o-z1s%nUR>F6Jm8#=T0cxa
zzmxEz`s|F<iGizjG-h*s`BDhUFZmQ3wD$0-BdLA9+DE4ju8o<h9r<oCxBsIeOc~=(
zWA(_q6^>#D6u91d+ELo3Jbw1MqG?a*$<0TUJmyZ^Djo)>54`L2eCVYb-MQ^84z>*@
z;3;%dDS^1L_xsF;<joCp-q7`@7NgE^3lf?1vS)i~B(oB|`4pRnt{xKhvUk1kMke?3
zb=UG~e~Nm(dTSQ(=^y2yvC_kbFh!Kn$}t-zcY@6ASeDYenvWbh)4u6qqJ?4Kml3sS
z$+{{|%;ClCZ`qTqJqXFSCAH?vdzjEUZ#@^hbKC+K$m$1t=LzN%y3dz?5j?5Z-n&W@
z=@%crDGzz}dGr*|ho;rUpKq$PS$DT-SF3sc*&D2?xFLmH6dCQbZ`y?#bh4}UvZUo4
zX6B716za%m$r@K^Wt(6=G!V+JBeG8UUv{*5m0psGvK$RMl`O$?i4XUDx<`iX$Le)x
z^_mY)4$zG&3$BSz%$#AwQNwe-<piwGCHW3>z5gNU1M<AGL*E8d{jy_-rpDqa#Xp<j
zcLMZa@n`Bf?3&wtUj9%I^+fzS>^6CTcg<1!^`aFU&drrh`GEV=GOLa2@{V@(ZZs@u
zk6n^wR_9VLoKB&KeeP5%<)wYI`OW%hC#u)NuJqME)AxT%5K496YM^vNl=NQI*!wS~
zA?*g+MN!gV5)<+^6djv4*qd-q%D=`pM*rEmP!4wR6IG7BNo16Gi7~+mW76k7M4vf$
zJ>y@LW;LQ*@vxr5r;oONl(+7e*AP)`tVVcp{V$ZU`mT6qLh8h>M%B^%C#Dm|_bga!
zRzH+(USu@=3p;K`uqg|9-Wv0YdglM$_hmpSTGih3FRPDxgf#kAd2Q?vj-L7wQZkzD
zZow{A^Y_lGoKT7?g~s8ir$&O}-~M&O2hckc2<b7kMdzw6h2ce4Lg|U7e>!uDz2#~Z
z%oh*gfGkm15#Z}PrKf`Vf8PvsXY;-3;qxO;^S<k;iA_&18uPm=lG0A5K#SRqdS2%t
z+~9+k@#!bq+jU*NRK+zhynZPBuP?s}Pu!}}=Jc%X?V(dSd6$CGWYJBrnq5En>7@oF
zl_O_fn-uj2_fH`{Z+zJ6xaz9wa{u`%8}y<QlH0Y?M^x*Kt$J{&+cl;n@3?1mR9~55
z)W^5o{>Bk18#;a3#HYze*4MPbG~MIV5;ffJ1T|TrqU+0lAFN>;!ACT0pLcH;vrai+
z$>3z2%kKsLH5P+RBzC2|b#}l028504DKy$L^lw0e!r1iIbc5C^c23M)`+L!g@<<Xp
zsz>6lmy-Y8hws_1{{2p-3VZo${8y5WR3C(IDXA%m*GW$*PPYFzNDLI>N3{0;gT42T
zYO;H`MJXbR3VzZ>KqPdeBOO$1p?3tNNEJerUP7_)NhdVvq5-5!2{jZ&Ktw=72|XYp
zozO$)uAqLuy~o+(oV)iq<BoC9*!c&B!8a@GUGG}YGoSg)DYarX!Db=wEoNf-_pO)6
zf-tX8_cOd^t7fgHug*T<{(C6MGQ<3f=!Ne~KyL2$?bhSJOOixRAaiOGZ;EWnoohTh
zPkWtGOM!t_Z-=)9Oii(mT;r{&-_d*aidz_$nt#e!^wq!vIgvQijw}O`ggUqvzg)KQ
zhdOh#6JO8oQDE-NJxlsHc68<v333X17GPAGD&mp}1v-Tj=_mGi$IZ2${9ao~9chK}
zLzb0hvzbb=#z=Ea3>WiCV9cT6iMve_6Ov7PA$hB-9T)zr?BTd2dKWzJoS;N8_?m}|
z$|d9&(mrw;i1cAhUw{8q0Hb*XbGv-CEpNob-)CiUcmnjifpS~#)Wd5l60WAQ>4yWL
zd$e++zXxPIw$INuFy53V_o1tnNbNi<E2#v?5oChUBs%2ib+GaqEQi{>mKirAksy^*
zk!Fmf1rLbSIgB~A4-=T)<O}fNGtX~=Qcd8~+4DF1_U^;s@Y<T1n$yzdZIf?<!`F89
zLHhFbG{7HLGq7m@x$|eFdQPc)%G|-p39hNG-l^S`35c&bM1=u8Rh!9=&l3QvyBZXX
zK$hQe*8A5wYt0=A)~93786Xop2{H-V6~osk4_)0F6|spT_4g%X&TBu~#V@k3R8eO;
znV5{!fDG^Ss5viP7bwi`?1IF_p5s{wNoF?FeRlF^%P`PWQ^WCWBTdG=VeH#CEt2JK
zYcbqej)2CjtjXL}QIc!Uqdpu>Uz5cfQ+_D?g2e5kFYpRomS@=xYO0$utYQfXI<d^Y
zmj@b=4aL1jVJ<GhXUFsJr*MS5DIo)_V_$%>9I>1SiH|WrFn5~RgNX=~OuZ1C_I;&Y
z%$a@aSAJMi@1-&L<+%1sf8DH>2z%pwm59UXN&WiDNCi{U>WuH@`8lL*<m_*@4e>6y
z)d<2SS8Do~u4m_bLLJ6xJ@1nBhL{+F-hoo=97%w}c=y=>L%Q3fuL}wUo-j5~wSX)Z
zFkCByKG^?S#P;1)tksO$%q=ZX@R89+Xlrquq2%|ZE~h5#z^$)Q<1Uv3wYCSKyI>Mj
zinjDq3HO6}!<?53G67cRjrKP#(S?QR0$CBWfN16a2(^peeevrl)>{swcZnv+iGO^B
zpB*|daaBseaI}Fd>`j&9X!U9tfK@XqfY^lk7|$Et6nea3pCJ!ue9}EdIx(BkCMPEs
zbRQ(&(?5UyTn`oi3uv;5g5%j4@WE6-3Ju4;{qRArR1alWkx{v=)2Yb>=$6bYN;$bV
zw8ga^f}!zV;YFcr3PGFmC5{^TjkrpbS_7XH@-Ys>wxry<1>48=7tjiDZMc|RTim?)
znWsNp?}E6_T(d!mS^8ji1f{Hd0=7~yiHP#0Df;emB^8?;2m>6(X~DghZT2e{_<OO;
z0{I{9K}PkmXUD~~X}+dP;eUv->An?z+t!dRFA3p1?Nh=$>3QHA^aOs6A2c`_^3rL5
zChkL`vc?vGsK0D&Z5cj4AINmm$H~TKTD=MSiAF8_%{$p=*H2{?l^lYCS?%MROLQI5
z=tuu`K(Afl#rYg^f0|*D8`^Y{(*V$mQ_)9E5H!Ew&qdPaSvtM{bW6K$st2j#8}^3x
z_7f#>%;DE>(y?K09A3+o9<KN+Pbt&g7C-5du>Go+(j{Be>sm`AgE{qnBsf?}^hn!C
zm0pe%eGE2KmO#ATs=scYefExn8u@rmPL2y<A86*4l5h6{Bt&xrfMd-Z&kVt4K!o%U
zn!-Og>+N&dFan0!82%v)@7|Gk)&G<a3_k^sNoET(P<*>V0?KYjbT_Mc(={?HK>Ixp
z%)#LzfHl|w9FsW&y5m$Em0dYocCT7-^Z)2w-0!=aC#YYE_X+z>{uga&QH;__AAqSr
zvoSiKaa0kr>}-3Ozdjm4E?rc$D&nN8B=11Xmt@B%{cX9VkXMMJTl0>c=*4+I`)J?9
z0o~+DP|4cXDk?6$1n~MF_oH$-hFG>8_UA#gMPnNG!Wu$~&t(cl`7>TM?lS_&%Wb;b
zNulSXcn+UK!rt&q(WCEfd77Sj*yuwD$%@c5H&?ov)Nw$z{Ry!BuXU%(Rb6?u63H8;
zSOs{7cS#w99{9AsIL9IcaNE68D^DlKJAh=YqS7er&cfW+MLx9*$EJcZDVyf0PQXm}
zH`h5x_c}mja*9pp?*LT#jQQT^2+Tz-zp<CWd|l)un%{lo%yYZA{baW<=dc;EViWz+
zuKxZD-9kzWi!R*#ID4$QJ9#Xq>f;(c<#%FJ$G0YzvNJ+emK#IrLdt`yNO-jN3s%lG
z$xg^xh<-E6Kb^lH0hu_^{$4()3^2Bvr$Y4jH^1YEH)sr?wOQNh-bQ#Bz>PSHKh$~g
zTK#xjBM{<WKD3A;0UZyNq;tGs%d^hqK-{1UlwmaKZs&?U`IBAvBjsBzd$YQ>i<Brx
z@60`tXYv+syUT9|-Qx>B{}DdcmaCDzd+Hn6*KqcT%D9_ZD-^+c{0Xd%5uorA7vipy
z*H_1kUb8sGao_Pz^|Fy$uc;1H$Z5gJa`+IaOOykSg9)jYxp}7ILSea?k*=;g=gQ-W
zLx5meHjMz>EBei>B@rJt7Y3r51_7p?pei&CP7$&~^IDHNcFK!&4Gn=hbhpEmPcaIb
z)^5C9o+`KP^g9Xgx#vS;ZQ%ahKb`hUCHqAM|NUQ)2<DSS7TGw!0%e}9jDb=607Tl3
zJMMJNgJJ=&AKWcH(cB7Z8B)D4PbVOWLC^6lHG~$F!>3j~<!+wJq%<a$#_LPwz_R&O
z8V}5!Sp~YVo@9*V=78m+fCR@o%5AFkObBawdb%NxH{o{()S5a*zp{K+ROCSVy=x5i
zRl9BZLNJ!>h+6)v2bu6K?F#;|H}2e;83BXeTf)74Z~6dY0g+?i68>iP(u7yorVblr
zLr+hS+cqeU99{cXO{{*CFapwmHz<DFCh^#UGFJ(R9hh$S41*o|+Jxkv(s!TK)n7rL
z{piJZ<$;r86x*UAX}PC`ReY$)i9rDMMAQwFEe!F{EsivA#`N`Vkcen0jJ^LKYTE+s
z!BP~XR9|zdKYB{K`UMo9mZp*xI`orVx%tHEcSweL76+o}lP#{^3a%I4Q_Pa^hfuhs
zGB<gDU&lv`{K}x9h&z`-gw7sS#h!aK;dN$3bRuw~giclV-@F}6i1(>0j&`qK=niC)
zKDBNA<WJCtd4>R=V1XVRpSo{{Rwp>@-9jH+|Mzc?9DJ+DDDbR%Iy!goU_IsEr3S$S
z%~dalXe;keBUAn;xDk3R{@;hH#bH&#c(+Bv)h%3z{c51(%2S`9+yCbJI<Xe!QmrH2
z<lZfN0>O46v>^-=q!YYm`R#j=e?CbknNP3cNP;y-5a3oP<Dx$&`BCebBhLD;lZ~IM
zAV?3KPCGHG;%0*vRfx(wC;#ft2>8Wei~(<+fB$$L${Azb#1f3#a@*$%EAWawNlj5n
z;$7~3UhsF!elZ6^J|1!+Y?_&k>Fw(8BmQJYQKsD0+k0lj<c3Obni^3uNb7(bSR
zKM(itZGMjc!7v@1FmYr#>!K4Y0N0<tnqXm`yNYS<{T=c{>x>Yj_^V9@uSul^KLq|s
zP~afZ>m=0;5hjl&^CrcU=0K!>hZhh&kU!N4uNX|^Y%kD;ECeq#1(BAA@P7C`Hi-RA
zRk4Ys6V4~cPcBlXQOeV2?(x2-_F>rOnP@uE_J=fany)>$Dt9JCAjGKY^lD&+<;tFu
z1*fZkNRU+IuN)2nof==J@~NYk5T-L+*Psw<a$2pCA`$Rf|0m;cURnkh@v>kBPzYPI
z+n>zn!9}2Ki}+4Hc*y8O?PC{!7P<4!s;VxpBOkZo9T;_@a3<4;jy@v2Pog%|`LFl&
zOIdc)NYO0YS6pvJPYHuG#gJSR|KgvE6Eo8EGyCGM1|?ICBn_0KAzaMA=aNs97@}(z
zqRzM~t<YQWwXB`}y)hu4aTz_WI=3zB3RzK^uw(iY;43JQdTjV9P>!Aoh)H75Qc*_y
zpc;pV6rb3O`*qFMR4T7?ZUl;PhQ@|d=ogkN0_XVK>CrFhes6W()X3j#>r<fFd>Evu
zrAwZz>m-Bm{hnkAiRWy4tRMo8ZZQwCSj>I<_#Z;a67%xQs?bCa27ZA*fITK-a@%Jw
z7twXohO0fa@XzvVkXZ3<()?ah!aMmu&-M>x1zC!{SxW5^2KMkJc?%<`Ewaq|4_PI$
zUP6wtjznq=!*6DPukbg_28pb<zkW+JGnMoK8Je}4LR{|LQ+9^md)6ZTcPElcvU5%S
zP3=uGTq$v1V*X%I6?WSa-%jt7yc1e|pvV2s=PM|mS)s7tUx_A`DxUrG$1~fc?<uwo
zE$|n*Z`-_n(?=Tv$usBB8mx_s+Ki5?+f$Tf-(|_tvcNYUolg)}65Ls+onHU3j1C=5
z_wKEE$Vrlb%k)0_!v&yZ|MX*sM{Gxu=Xx#SsWUB;E^*q!WP{y9j!1=o?%VL(BTXXv
zXV?mL(2$&%Ezq_o8+=o!?F?>5bIqh`$pdY5VC7L56fuzMVuM>(f=blzmmX*E>b#UR
zS)HD%suzhoA^UE9qYpo1N^I8(qOvRpI4Z_{&eV7Yjl;2|MXCk}Ty10+Il*q1a{RX6
z5uB9Q(J!M&sWGG2?pjZoHCHc=5cR1wp15G_0X>il>R&i7Q<CG?Rbaj^n?L(j;^q_V
zUt~2(M-;*Jifd+=J+$63KYZeFaWj^%wm)qcv$w9G7KA7J`%O<YAMu7@c!~8Luhm6H
zVb1(}<wx0!n4M3$i`$(}9`fjncW<8L8?rX{_2O>j+ZyNPCRfJ@qpLH={ab}*bj7!Z
z^NKi%AqmOnXCE9f$pzxnW^inr9-i91vmNgO4=&|LDNyOa<)8XhNDkZ;%K;xIa{OWX
zyw@2k4ziLHSq#uV(%&>j*q0&L0I9vh4yBkBS(_x)suJVQE!^m}MGiva#zzEYj`r=8
zu&30oVN>OFmChr4-zZLv7?Zq{o()EH>mwxOv);xP8Jgd1YhLh{9bcW`^pM{^C25y=
zdvif!c)GTy?>_t7EAU;LAA;LAuggpK$jFb=AHFiCCi|23%@-=F5$|thKFmu5h0jqY
zfgKfJM|ROsH?yMII+Q!*x_&%oKa9VMl_<mR;h=sv%j6gPKN$zN$``_&7`_Tm({VwY
z>B&q21Foh=D}eXmg9`_Cx^62WF)DvOUh<INIK?q<$F+11Rv2xo2IyoDMZhDw2`i!L
z*YzCj5e`gGxt1`u>FHSe!vw6&y6#}_;r%KRr$dw0$0;xK<pUV@_NQtp1kJkEal0S7
zW~c=+3Zz|+E_7-jBreo6j%v<WX(Ce0niXe+A^C*?;JHyq&Zjl+$D=rlN)=Ox>+eM~
zI4Al_@~xtWr|;{TsyhtpQ5B7xeoodSUBJpjMNymK6IN^|we+}nVMyIW;gD|bfWYca
zxC*W7$k4*V_r92uYq@VF%TW|fIe~8=Axea8cj>Zq4ivY!QXWtgjl692(Xe_r(p{2!
zAWRSkkC4b_gfG%gjq>$-PnMzrgYu<aL46wePiE}-!mDard1?{wi~V&Z$Igs+$KdwK
zNaD;^*Zvy+v=VPgyuRD7>)-J)l~J<3+PFh8eDqjp4o-Nu>(6j~L+4p~N-1M6t~|J_
zE%Ocdyf|=$Irx^)q$5{eKm_vm!s{lLWOPTnSJJt?vGo-P%QPNNJ})*J{B=D)x~a)*
zqHgua-BmE)YXc7wZ4!7U`Lw6^V^GECy2;$^!`?-2wrk(&FTGo8wZuL*yiy4M;9Rro
zLM@MeuYx0v^m<FkUT>L?jFb2NT#LJDx8s|IWZe6ML|hqONf45*6}hPs0iG>xAy6vN
zdGlq51J)D&T_ry%6svry?gg6T+aWfT<eqvS+rk`F$4J1)l%Tbr8o%Ywepw|qd3BXW
zYiF(bC58{&BYV?8@fsyu^O^8s+s5$2Qry}t|9!BM?LV$borWST6NFQt@hUx=U%8DF
zi;?e(vbTdU%CFxSJx^@uXm<$=;Z1n+-G(yBuNI+q?PSpcbzM=hzl4m?)AMA#N-IL#
ztZ?g6h!$OJesb#uLFjTlPLZw>|9ZWYr^D;`KB#ZgqtBf?mnVluuSat{qa_77C6aWw
z{y#vvJUjoFNY^Z04e`Z1u)`puaX&1H`cpQ$S@nDhqaijYpSu*7q?GyDQ`?5iAHI0t
zxU<^*Xb&##)abJ8Zbtl<I{ClgNGlc0EfGZRGPK`AvtP~MEeI1Eiub!gr>(HpUr}89
zyx1-yd+l%KyCNg$31A`d+nM?nt7@tgT_pxZ+&JxdnS1c$6;gb<_xKKh;~7?@$>Ha3
z8XK*vZFKWpQpV}^9RN}#(}FKLrBEURvY0I)Iw~Nb+t4>Wyi2UGzYSIbxt2P}k$0ip
zl|Znda1<on=Qy5$%-Y1ZS^!#lYPWcXr6ix?)J}jU_QtCH%%15+^kOxfm6f1y9h);l
z`ff1DoSW7Atgc2zdGC>%CKxNG7?D4hks(^YP2<F|(WoX(pUE^wdxsD#%9WSK>e1}f
zP1c?0$EH)0@{JTfWS0rQZfJ-NdUn1GBoj)zFhIrda;Cd&M@9g!UpX+AXlN)db~ZjW
zDbQpG7;;v#s|!Z5>416_lL43qRV)DDX*vK<R4T_ayp)8*zJ%h*rhh|}!`7={TraI`
zhEvKn;*~O`xYzG>4#K|GKzzr-u~;>$VP^Nqh#ISFIS_lhm*8e(zuKRlYCo7`lVyiL
zf!<}WS>HMT$i$nGgr1UJdUsVt5^Vh`@3}qBjdyi*W!~1V@cQ{RS!uaM9ndI1mh_*2
z^6Iw-H$iTD>(nHMH*6e5Om#mwYk<A|0*Nkemz$*WaM7@Z(!N#TX>-&yW9R!f0(;$&
zIan><Sq>Wo;xJxuFH(&IsIvC_$2max5;ymmd>(kT1tY?IceEu~t36x7=vn;JshhAN
zEWu}8+pb#y3iHiV9-f}JS1e6&Elv6$#ay`Ksm$foE!uXwP2u1N93=G;#v=m!nF5=j
zx}sBt*<0+~Af$Iz9@T_gRjTz$TJJ%sY#sgx-3vHB`p-!)`6`Cg1t_^xJP;zdPp~rx
zo1wEB8Wa_-uUnD6;jOJHiF<x?a#?RRsjSy8-T2IYBhl-Hz(0QeV|!E7P`RB;mu<O(
zlvL0q=}Xd{9^QI><^jF-S+(w8+>Xcdm;Bd$sRX}^2v94CGl$EA&7wUDH+pB!oE@_G
zh!frvs1~@ns+YMR^mqPlz`)u&hr(zN;t6#;E+R$A#}WX(N=$`LbhpdDkA?2a0uVy#
z`FCNjy9D|1p`o2-kje{7Nl9f=K8S6%rlu4+#qr=9NIGAEw!*_EnyHiq(21&4KlZre
z>KTAP##(1S9Wt0r+2|~)XOvc*w#)QrDFmWRL6E$|!0}q&E^|5B1BN6O%jF+)xkn50
z{V(am(2gCwk~Jc`p*+xR2|g8dRX~8dT9XK{VJG$cI)&B@9V{zx<LW~fB&L9J((uIv
zPUiAaR$U{7J<N$lsfKc!sjO7xUo616FUjotN&N*QZ9aoV0O2taYqe6jXay)crtd92
z@PXM*;|+^)a&)}3;r3ITPCxYgDUOOw&juo`KB<FL4euN9zXKB9(cYk+*p7W5r_-Mo
z!f-=%+UiKJ1s0qMkfMk5aUy`h=lZAx+08YCi{~Zwf{gX)IRsq*=+dL-1u~L~mkdPb
z>YMxlwXrEo<(l`!mHd76D4ipj0kA+l*e#j_BHd~Ej~S)$9n-}CTL4*qlUDH@wbxtT
z{N;rJe}8|1|KRZ6C_wz#$i|2Fd;qiQ<SQ(IAkJS0K#bD!^Flz2n8#_TY`PunbT7ce
zN(m@=cGrMQ5atiR{lkefKJGQ6*(7m1nui#zl9z90+kGhTvG8;njzva1HJ?b-!qMUX
zI|NST5%bG&P`jYi&C|;a*;rnCVCXFN-d3<J-Yb-6J-zW9M?m08qVjrD*C=IhH+O%g
z9)FNCF7QyBUcXT@zcKOVp<mP8wt_+@fghRF9BA>p!^6?iDbFSXVqTL!q0wWp`g>o#
zeVw9_^RtZE`R$V{Imq2OmFb=0Enmu<g5CXvi7~Fs?&vumgo+hltTp9^<N@3WVDo4n
zk))3L?b%^9?q1SwV1m98@kH-mFdXSP*@J<)W@1YXY^9j>%Zcy1jRb(zz(|3I2n`uV
zn{KRU%od0YrGp(d1N@oI2~s>z#tbC5mM|9$4IQQFbjFvm8K{hI-8_6Q)wt6cbPqs^
z#f@7P-+PUaYhK=VBjkqMJN2d8DGzku&};-vmO^_bbMC0?l3Ct|RH#2XcRf9tXK$}h
zQh0kWzV+!5zhmuGPF0`}k$!H!pZu;-*<i~rdrz9O=|AqTIcNN@{+jbA?b&XgI=smF
zD?Q6Ir*)ukxt5wffL$dLFoAxjN2`+;l|GTK2OuiO(DMx@zZrXJD33V|4_G1vBO@ci
zr#aI8!SUpZkLskKxqiT8t7gtBDgyZ*J0QlV1#rCbkP#9hj#u-r`2~@;r~kGd=-wPB
zz*E>;rXT9!4hXoQrv8fmh@AJyQ}%!8W%*wKcG2^#zp`scB<v(w`G3y7n<W;p{>8rQ
z?cWOkJb7@AhW~0naV9sTy(#SnHh~eZwu9f$)<t%1y_YWzB>=nc;Y8U12$(1)hPNdJ
z!7)K|787*Ly9@pYH#nCp@ZX&vzwXHY|C?fVkA~{jS1R-U$ENVZ2*GX++Gp|CFUN>5
zzGpte^-!LBm^v;i`#OGdH1%;u%~e(*^{k2~46;4FiOT*mlV`6Yvx`(On0Tp4hrHs5
zC>^<;92yhy2@*57dU*)3RU0&@!8-CX{Z{4B7GYgJkj=NGJ`m=zegayOI6%}-0WtuZ
z|MCU;ul`DLmnZ=QUQM6hvqD?U-|2oY3DVtdE_%GS9`CuK{UsHim`2{ZIl?nGh>ViL
z>9?i22-F;s4@FT^a7P$!4;p=ud3#Ue;fD-L_1uJaLAPJ-CMArHUWQV!%HJNk&BMR<
zgBHjs_g0-Id3%u**ffBbm6o5$+sd&zt!q7p1gl8(Fr`N0)fvNuU}3YOLMz*?`EpbC
zqaO{5D4laA@eYG;27p6KHLOH$d)sQ4wO18VaWHd~<Ix*s8s%MRnj3{$=qvlqr;grH
z6&sp7JIX;4aqd{(hJ++SbYQ)&dgaE@t-3Nz#Tz^B!trrQ0;yZ^0p3L^Z2X2(E=TWP
z;tuo4rl^j_d!)bc9aengNq;@@fwKLFbq5n?Nw$7bv{KRbdO?51Y<G&sLgzu(4<{qz
zw;sLJ6f`M?A7RB>7HhYlh^kF1$%DhcvK2@3e`ZVa?~i6TZ|0Ja;H=L5Qpat5)%QYO
zMd})#i0>P!k`x{uB~7tA+)P>ng`E06o%9G~WkUBNMpz^;jjC8se;_urqrD@+?NU3F
z48;zAb;YeLPU<)amzi%p{`CO=Dz*`DDB-IPU<iU!(qd6S7AQ_~Io!~D>tI0ufl~G%
zkciZZJUtdv4t`iMJy2);gjBu3Jp{p`s5KJToj;Y168rG_V_T=rIK|8tzR&C!*gel8
zc&hG(efulLB_r`1Rm6AU!`l?=D!U4~N;P(L1#|VDYn4)4_T~02GgD35<hvDw2kY1z
zh2+byRkB~!8{p20q{(ZlKvx;(`_R@yUCjndVU1cPx5heBwwFr2w0A7^qC9t0P>MT?
zW;8N8T@-aEbIh=3hsG$X#zGY|=W<x77HykR;}~^y1QL9wy~ML8>Czs*2Fu`w<kD>U
z%ha(RK`51mOpGfd$rhQa#PMnp`C2%WSMyyva_?h8O27;m>vl8#5yrcrc%@X_Mwbtz
zu)5*AXKx<pcUnV63laY=s0KHE9s$E1!M_evei+l`FRC2wT9MhSe!HiTJAqM!KqF}q
z1P*#CyGo1ncc+{j{8lv6XTAzB_xX?nYgjp-bg{R$51H{zVzMeG3Jb0x#uN4Iiw=Uo
ziN(Hw6}}iL3)&$Jp}S?M%6k}YXwcacWCT#ns=#||LON5WTvAY5Nx<I>QZGE$bzg8R
z_pl47e$zp_Ra5B0TLzZ#@Z$$kaj4bQBnNy4@5ALEGkNa|^-S>9cZp9I-fT2iGq8Q<
zi?B>kV;eQA*WYSh)iB+1n;>(BkL&RPK~GZx2{Y+4eom_)XN(Jeu2K0GIq_F7UPvBI
zJ8Vl=RHtq5dJ7Wog(?5Q{)H6TktYXV4=G3%$6uv>fEB?znARzwHVEp(_^Wd#pjFIP
zK+Dx%8?OkI&_lrS_zJc45Vj<Pc+ADhH&+StP=JV{vOggibf)=quaB?E<7+^*iX39f
zH&>ONoh`MY=zX}q!vR$-M0x+UO#Et1gXa}@KP$GWX+)*%%loe0nsFS<x^U{z{t?<h
z><(Bwn?0sV*hC5(Hqiu+*?LaHAFwF++*|ximD1G?HbcwKf-f?g*3)TTU!1$kGjjW0
z(8Ldyp)^e#It;Q0f<!6^=Sbdudv(SqQnZ`N>Swl29(j0J7}@RHw?R48^EDFhnSMcl
zkMA^Lkv6)`CEnvDQcAu%^{?=jOIB)GNPjMR72~YN5-kYP?M_OCijI--s1UTkfO|6@
zv!M%Hs_%K^k<{o9T3N}CT{g#*-GGY;aW`g|l1B6%nLLgg+e!3r9Z6ZLo8ZuuoEu0@
z@Lo2eQkxy!5cK(GO>Z`tzcR0yFuWEES@La`g7xdv-*nPc%1!&OSun9y<3AeX)P`s8
ziBf8#Q{3fM-ybman4oFwt&wkeQo<Xsp*_5MPfafH=-wSXEy<la(W+a@;MN!sra;WT
z9BRTfHdk9LkOzG1ULmWHUD?c_I=h^R^pI7s16-eTrk*KWV~e%Ra|jJ@(<*6(@cKTh
zckWz8VRzmtDES54!7PDbjahik3i{ZT;0jv;!uPsBeeu<$F#lumpn$Rs(@if|vC4L1
z#@x&1zFac`CD<~WYY94jFuNueCc|$*+OYlytM9&dml$ZQLiww&l(o4^)jQP<A8oxL
zqvd(GlJ8rWws1*A<GEp{?&AYWhocb|6_=6Xre~}E@JtdBhR7Obw7+G<OH~BQ%b!pR
zGQ@7J8NspK+U7B~LL|GVf)}MW?w2;MosVOLkz<7KYoNaAdD8h<9Y-Y0#vu+B;(_k1
z@v{KCb8=eXKrhOmGx`%<P#~&|@~>qT9fx%WsHv*%hIg^3TvE}jBJfUnFDmu4N{Ne$
zi>M6>lxAgGUnyZh3iaUZ>?0tKTR2-%GUF>Omu_AlQ)k%A55>K_^Hzf(2s~Sp5yK!6
zu57Us1<26YW&2uWxAk`7@!s@SE9aWg2yLoLo=v+LRA>CQ`);LwhS&bXm&4|P>N2^R
zZ=R?MGmDHSK;lxb<_XAGR=Tjm`VV(U5D+`5)Cy9P-HYX<K$GBzZ_XH+RjkYo-8G+d
z-EQ>Du!~3@*j!mUoIgPpQZxYkUWe9w#FEiUOlJcD0cM#SN~kH8GsOT^T$49F?+kTx
z#EdWp88e+l02t~RjD#A4cAw1tn$x52=VE38g7$JIFI`}|aQE5Aa{PmuwUXrgDzP5<
zotHkkIbTRQL6Z}0(B?scK&rStKBKj>H^os_cRKhl?b#EGD6yyA%q3h?6f{)<X?c&E
z{+5xdn}B&2KiGM$*1zY}akm!-<rdSYR;Xy)%~2D1{cSR|-TJvT*zR9k9bRqAR*_oL
zn*FB9x3_J^QskRKJeJ!QT=-@pEa|`Qh2D5xhoF<S&X1Vl-JCR#H0<NWqusrV@e7hw
z?=~AV_54P>nA@~hVxEe_>o}KLj57U}M+6M13Dl4Aoyp=eYY*9In?zW^9LnMq`lbj#
zY4}ZIVxkgsxCj1?Db9-M<~nX3>nfe50=b|wBStL;h+K}q_NeXNE^48+F{Yx2$z4~F
z!CwpU<io@jXa`8~l2pZjOqHzF*CIrYO8)8RH>Ch@<Fl?fJ|YNh!&~9tmM;Q!f-HQV
zSyOSrWpy{pwyQ$4uRz>yaW7Cr3=vu=OYhFLa(kk8ie<+GOxicuKYMxbiabPrZ0pkL
zV!r*D%DX(uGO4ds-2uKfly2U6t~)Jjv^yhjB6m0Fty3J73ultM)mWbe;+`K%j}qHE
z^|wDaC%E5<eG;nHxvdbWb0VT$hdWdJY(efrk5eo&7Eor@nVaa0i(=zZwqOP~Mi^wj
zi?FUJDdKq0>dqjl!{QJixF|H-Z`lpp3yn_BbHgSqJ^uRa=0!qurr}i3zQ*dz0$or;
zF|J|iaCKcQORLc-(AHXmX-hPc86I?x1RgOIEX5FRDm=IQNMgPZbZjMV$iS9_pL}?2
z0#@EzKvXitbO8~SUOYj0cx0sR=*87~qFTXtqQ^u0RP4P^2@<()-&%!15)u;w$Bg|=
zE}xgq25o~@H*VaJAZn->7+gc4(P+)F5GE_L%7JCi#)C<tg?qA2(rqVR+zegxg1Xq|
zn|&O9%Eg+P=ht-4zG|EWaZy}fn9Co5TvY2<&fTb7+TG?MY|3PSh*Gba0j0QF(Q4|S
z{jrU`*X5`(p`fp9|D|aZ*8n>IQ;K0iP&>t!gT-X{uEgOUKK?<~!z8Q9x6sx8ApL+%
zbHaQ<U0_^Ur76Z-OuuBzZwj(`#7?;q>jlHAei_8>$y(c~q{QU;ZP%ssY9zLw7Fhjg
z9zVJgLPy09yE8-S0Rk+V?IY*9Tol~t$jRs~YZkN$uI|)bWY7k4;YXp?Q_p;8r%mu&
z6r9d5Lc1H_A6Z43#rMDOn%I<gS#ph{w6Kn7FdW|d;5i2Ndz+$qbbh|WOXB1u8p8x2
za2|&6v3||WW?*8Pca0%@(=_c}66inOzjdYO@>~$Ggb4+Gz^sD2y!V)_8nlg!c2uD$
zN<o2-04BydFdPKh<97A$xIF%wuI2Em6i@PqECx%uD9ov^2;cEs7t_Zt-erI*w~ohw
znLfqu`*Ur9ty8bGoKa~b3dx+DAF468r0(Fq4}GpFd*j1X8bo`0qUaqn)dFMoAQ0!v
z5j@gCBn`J+<HiQPUTQqlWNz!J4%!D++x}2im&V*y-2RO+1KPvxqebz!Dqkq-W-pEY
z?20lyuV73>tP@_VZ3Le;H`#)inG0qq)*kq(y`4GYuq1ByAgOd{$?mF=N37M-np!{k
zov>JE-`%x^z?3{cJEgU67nn`KZ%y~wJIi;XO#>A0sifAIaO4XgnAVXHnJ9M^LMb3z
z-N7~o8kS1g&KL?BoU@I%b!8O>EorqZy^V;Eixa=C)5Nr{Ly!T;znY3)3sdt?U{ho9
zjclqdZ{mxN4XbZ;8u|fqTWmzEZcND&RaH9KH|u98UK*O=d#kc@+?9qtcAFO$zKx2x
zbocQkn@(As=Z5CPo?TP$UHS*t42O6!UpJ9X$?h?6#<3b~KeN*F8F~QK3Gi%9%p(fb
zed~B-`sSgOP&}l2eZZUjb4Q22RO~$o)f8RunAHF)Zdf;U#taDIINRJT$?1W3y`4&J
zms^^$<jR+)1I8U^!C(U{JBqy9PmmL1WiF|J*OkSdj_M-sR@}<ty+71&9wzjTiih=Y
zjLZ6tc$+#kgUzYNs~+sX0i%VA2eL^X_uoW$4}9^0*p!{DN;6;irU{)Nl_m=GHhp8#
zB_39}_hkExP5LpIwTA#<<OlIEvF{rMBtS>c9|-4b*m!3GDOwL8Lce6Xu&$^G6vJu&
z7S95RT93i*fPX)b!Da6RY-qy$FV+FcUV+$qf|Uc~z~s2pJ*yVTAHb`9*KNDk(O00|
zDsoAWq=A_m<%=IQ;P@BoUPs2$1!ZY;swOVUJN6fEpV?IDt1l#Gd1>fT(^`~}dENj|
z=Gej{H?HP7H`8E&;#>|lRA+)<@d&sj|MCcU-ClPIS93U7k(XZX>M!~s_@-_yZ%y8f
zIj0f&w8s;#TU8|;WBY2xuMoq&EYTb?v+ngZU?zlPdi&%FSxs?4ZLMswDPxp3&^=OG
z^u2tE8pjyj#@YJnjC{8VzP9+n%Uj;=<uksFkAj(NUf%jn4ZR9pN&sI5%xoyu(<NzR
z>>i}7y1LrO9TW)2piV?Lu!DL#kYNS<E8F>!;)zt_<t;&}cZL`A9S)l~_<y&bu45$3
zy;X41iOYkjX7?M6FhlIvy*GrM!0r#7FK=+x{9vz}FxvM`hQ&KL7@MP`($IJV1V`2%
zjlL+9`zRedZZ$1O<OLJ@bTv&;K*g&!Qq(*~?+OTPs!>}mt*^KcfwbW*it}S7XtX?Q
z<Q-uky4%=lyk`T=h3;O*G_$g@Dj5Mvc%?$5iLtS4hjCq#TN*742Ggw{u__&;0m6_#
zlP@166Hg;W`+=7`pry-+x#7Trv>j1bsWxe4x4b{r-mUx4D6ewdE&9TyFyXY%x@wnU
zAhc2Sz%B~qAXE~A9nN{uAr#x*IfRlK-}!)wOC2%Cn+~G~4hb)yeMLP{ck>}IxgZEg
z6vEb2x{})4yFQr`qq5nyS5!W4d*1QPwG?NTEGy$~n=1KdgZ6xNsK2o$7PuKITz<*L
z3?x=-R(kGk$=E)A{Nu+=JIp>|6W!I>{X)B=tS#aGdj4Y#1tXc<bTQY^!&ju0C*N0g
ztNj3nGTrz}NSSTdV3jB_96kF;4fH|---mW-jYim@3Zk7_^=gs-{wJxaLVa+d{;dsn
zBJMyXlsV#}1uK)Y8yv3Oc2@Ouazc11bx751Lu?o`Aw~kJYJ8g?Y?pi>Iju+g^;AMv
zwY!)Fdx_uYECtavC;05p)RX->QR~z~qk^Adcj-Z}`#4Nf=L3E0Sl7pM5dtv~E~UYW
zk;m=l(w&HSjqq2d<iePnq3rpmrN&+td5^wLv=NZCqo!H^Y6GrnA$aV2!*oNrtUU$g
z5D3ZHo|pW>c6l@b*@S$FKmtG`9gC6s8=yYJecybSpRGP^I2#wo$s=rN21`W`Tm#UB
zf6y`Dv-LMoz}Vu1jbEJPg75HZD3?Rfj^uP&U>KE9y>-*3ySlV$Rx`Es<FPxa#?>yN
z)K5^Iy#*KO0RO^Dvvt|crwxhA7KRsCiii`c{0!d?env24<mQBak!v0k52K`C_UdT-
zK?c?7ee)QEN7x$s6x6&A0lu_-U<uVRE4eItuzC%^4uzPJO4YdyoG@ps)>=IQbzpeJ
z0sW%5b0YcjI#E|QIIBs(3H;E$Qu8oQ)+|UB5${uKw#vA$ryv~gRV}iv*fGf}t2u`c
z|D-$Lvqg8fVdaA&d`&2&=v!9i@boM7?0)0*YGW81Zb|YvwH(s@<*}xv^0B#<1znlH
zF&4XpO9b2O7g>iF!x;~<!B(o$%DeE6Gk$NVeD@g$cI90W+@t$ksK&JvFandjXvIWz
ze=3a>V&Kfbhoq&GU5vTWeTA5ey(b(S0EtaBv5z&hZN0>y?LU`rcnoroo3&XuMARM5
ze@J(Xc%n<K=lUh&OP%XhU?fqL+XDCg<S!tOgk+oUHzxPrzy4n~C3>z%VUnf{l)_G-
zabn4+lmAK+G{tp2>7=Rf;l6{Up->VevhI-od9<Pffyboa$FQe^e}hIlVW2%nhl<tj
z@5f!d2HUfoT%p~6gEa$QcP@|$uRv#v+Sk2s&P%UVvsqI6&=q&Ya>{XRyTeh)6t?}h
zvg1Z|9jj4Q<N9qT`22~onlCa3@i(G>`O*b{<(!}hu>7cW6bDk3F#_3uL)+6Jo!P&e
ziHrVwH+E@twDssd@<(kXm0H?sx6DR0V)S_F?zNs`pca=P`E~r4STB>kmCyu8((cMc
z={gie-jju<FPz5$Us9^jW}s!zA-B807<nfha61Yh@F8Oph<zMV=_FZ*f1;4-@Su67
z@A^;m@_|E)v41R*z%|Ak-g4N71A6}%SLS@7<v=}m_^|84pl#$($)Qts0}><)>gXky
zLxCx(&7C&LU%B0rWtxuR(Z|kpo10nbPTV{uleEzzB{1UlL_%`iHX@JD2VBiE!WWoc
zMk9w1)G>Oz_LZnDB@o@<(g9MoJ$?X!9Wqc)6NN1`4-C6Qrd4EhFixO3CmkpdZY_&@
zFORNf%+yc&j=KYC9m;#PIv5vKRaKW+_%aaaP(~!)hvBb`9#{`OUN9Zr9b<<gh~O^R
z|C}NZZ?PXtnD?QP#%Asvr_3iOd?M8yUS2i4VU!0#AkuD^BHsrHJ=Y<wx@UFABPQ9l
zX4Vx4co`pTsS)@pgccSS8b-@4SN}9Lhxb>YP^?qZUHC#2517MHt^?)nKwv|0$LcE=
zVths3#Tn=b4r4Hw0N4@@1Q>ZxLCYaa557s9KQ;QO=o}F~6TBGdhZqM&A-My?{%?C`
zU23DC2+(E3aF6J?i)VYGM85T62Fk~Gcr!gENpQq>Fy9owfC=yXjc6MW`W3V67uFJp
z*>F9Z^IG~D>n9<BBgXlLpJ9&iSWG@Rji}h=RAqo8&80!(0%G<6;Bwt9Xd8{sIdBva
z_k2WIl&ob5{?`p6X|@ArGBD5-E)b7NfFvX(c`NOY*d&>HnE`i+&&K|4K)JJ;n6u75
zNXY_ViZjup*B$VC2EOSR7-2fWy%n1Cz<P#*U`AEpg`6QKKjTI*(hf4#0K5uT5sHZr
ztS3#?z_@*cj3<cb+Oulh7ikuJ9g2PQrW#zc%WPTsXsN!yoOIW}^P?KK5{EN<jCYn>
z;Jb@%Ru%A=0Q^CEv~KFf_~E|S1N55nzw08)mF6S)j6~d!du$8U)!BbC#@P`8q2Shx
zKYbz|1SH?P(Xab{($K$>Hk+i4(qFdIh-+^j$NT>-@EkJhlHxN2jmmylVLhc(Wu?<K
zD7jFonECz!J0>eCE`|PM`>BI_m<!NiWKsoXD-*0pA6QUfx;){Gs(!~H+Y6V|%o5AP
zV$Y)w{QsW+cfj=C3G@zt0~>$rM?@^q{e+F84EbTL9?6T2Mlc(1iGt};W3G8~gX5x0
z)qXh{?QWsan~g1Ql%7J4TV|c3ma6zYgp*Sogjibn+0q}@xRI3Zlt)v=zd0G_0RL{U
zzCRy8L7kEo>wn^S-8MCFOf2ab7$j!igHR`KbXi3!3=F@W`wiD+65+ZiPN*Hh!I*1K
zuIEwTTt*A5NI_Qz)USIg?+fOD0F(uyp0tsyHm(YcW%CAx(P{&iKDS+?KfG;)-}m1*
z#SXX5wBqKus}Y!iPBbv;j&plq3td=zqluR-78Rq6(4Ev@x4wA;l+6qm!gBR|`q8Fc
z0FutZ$rpb6tC#+8!^|<vR?hIEebA<Q^7ZSKqpp!R@2Vx8mR>V9Cc?fi8yns%onc>0
zqnE!$P|%@DYeE7+)UGbQdP*<H^isvKjAKNNE8hP*!LV4(I)9wNA~o$X_%*PXl*##q
zRhjrsn)Y8VvTmMlWQc&A`y&z99quEieWcqu(l)hAPsZZY=qt(1G#9&-%{~jC46N7T
z&P=0pniUyS;0d(pg_obYA?@pE(`z@xTh$i)w!MN5$U>Sx((w1v8taa=m~W5>)4myC
zho~c#-A%n~ktT(xs#|ZhOOQzGGUQ&}z=l)DkNW$tBV9~Wc#*AE)?CooU{8~Dm$R~3
z9BZPnvE<4}N@Y$0+8rciW=lc-rt|bGt(m?z@`~7DnEeGxl!UTW+!$)(35p;6lgg$u
zt+c$8@3Y}#|9brBb_j;uNf$(g&#Cd{ZLdqz&pqoxREX(rMs<Ga*_9?0-p6mdE=P+S
z3FD-P?=+ps6mTV@6aa8!+w-#9P2oKgvsztA5ICRiCiQ9CxlL<%;uOUR=h{}cftpMS
zbU2(@iDdupU_%|qg&HU(0P1aMXs9$+-uVj|ti&18O}a`a+=D>!-p{N8c%7(E&jfAs
zG9@q~u3fZp4r{TbQPB}$dH}IE0=wX2DEEbz59}gp^f7u+$t<nepG3W{u8n$2{7{JI
zoE7giqlM@=tc>=E7eo%bzx3CwwoEv5O&;!n?cVcRG-j`!`=A7E<=yLT%L5exIT*ta
zy!=&I>qY}SQd^@3>R@#EOo!c>+4FbI7MvNe6AbKMO787uBQpW4gWqt*Q+q{<${cLE
zxVYdCSt>W23-a^*Ofb*uqwik%%Mg<m6&1yY&@(pP^@J@s0i-(~$Z|$fP*C((i|yDN
z84dM;%v{lv5~$wiAl>{&T!JKWWj`X=E_I12wZE{8Lj|_kFQn}|J^3&uobWz(;eF+L
zZktR9IhCB<zHz~rhPqen#VxLb!)GJkvkgpOK>%;TbB%B!iaYcaERg6Vwf&XP7TW+`
z#yZsdbFsz~;h0C87_h32cyu?%)wwm|Jxp@uNjYtt@(;W-OLr2$pT?*F*O<KIe9DM;
z17XhtY1&K6C4?oWpQ|Jh!J@1y0QI_4gu=ybOo3{e(<ZGUC|P-RPNer#J+UrI@7rAI
z{17pO8o)Or4()-+(g+dzsyJ33js%KQ4Z={+?AmAru&=6?sa0W>-Tv`$tnW;ERe;Oh
zV#%Aq#_6BDNx@aB+)_p(ah1hJA19}5H|<laCj{!2u$TPRR`rD+jcyv^%Y4%y?QZdK
z%&N-%G(8s%_rBx8IRpeoZ(e@~g!MifHsT|_dFr55d_40PhNd3JG4cFJp?7?(FZ!q1
z)}x&H^!n|ry4zqSgNc=l>t+UER^ROT6-zoFx#atCLs(rJxY>(f#zVr9&be^*y6xS8
zknR(~_2RW&cQ4A*zPxpa5*R%&1KRno$G+YMI;t)n3X4)j;;m`lHeLHIP6B7k#>5Q=
z@IC}8BO{{=p#bX6o|)yYlOK^t!w6C4v4C@japU92fwoK?Q2NxVg;|}3O#`gm*FJLC
zz_U0Z)BA%RA-{MoBcv{sxz?94LjdZqJC@nM+BKXm9^hp10N^fs^_!eB&nc)_ck}8S
zkDU=oNUXnt;-U#~TDk{@kmQjd`jcq7tu)fR<Lm2-2ak;{)LlhIg&R~{9G8ZceaEXJ
zL?2(`x%O=kJaWMK9H4XWP98q4Lk&drjhk*GS1=9-c%J@UoaXXY{Ksz7{H7n!Iwu@s
z$muEl?V65?DH_$jZG8A{MQUM8YtY>8nDCijhkx)x(Hu-N07DCX<PYB=3m{|CT7b0+
z?4|9kzAho?&Yon?lyVubC^nV>)k`JO*0kSH6nUf*C^Z$;XTN!4sZ3ZUqENi;>+&V<
z_6CmwG7XPQc3S06MEw9Q0{f|C>>ZG~)pnhyOSaJBX3~2!oEv{cGh<JzOE1Q0Fjaq3
z{H!?VqrU%BomkA2+3^Ks{E2vSxwiVH1rYs;K&F13+7>IVeP_pSU2%&Q{rRNWJP7zr
zG%o+_;{>6{?y~vE$rbpjkGy3>P18Dhvv`3&_MV57lz)bI$jMi+srMkuF?}F1TU*a)
zBi8UdObK3490;7l!AlB@#R|vtC8}{7^?E&H-F`bl7*t$Ml{&XX!9*k!BzX5YPMb=|
zS=p@5n7!Mtfo~lxaEjPJp(_6S-DN9I^5YZuavX7VW@Lz)2M5UBIn%^Dyu!kojEs!t
zjuAB)7<U8)F`&BZ2HK1_KpB#-C7}gCKSAgjfR&*^O|`#Hfg$|ho3Vd^sI9)Ksp$hu
z`!6(T(d+cD$kd{W_yP9?4YJ3a1yFY25Ra>Pw_sPIXJF7E(^Opv^cYE@G>aXm-=Q5-
zYU|qBUz`ho-$?$;oS5&we<jZ7%74$p@xuB~%|qVAJ@Y14faRWnTzL5wV#*7Ou{^2(
zj@I^)xVY){KcRe-HY$R1CDpd*ARD!H1&UX#6$cAGuhHEUt8g2$j<9X9EJf|Ph5uUY
zB&~lFi_rD;2RsO~B##ngFXVY`pjQEaz_knw8OsM09g7t1>J%e6xyBMTa<MhV{*UmA
z?lWDic;9i8j2Q*&=x9JNQh@8AvZ7++#rRBDrjioG{v~Ql=;JZ+2|nhj<WDkCv%UsZ
zsv78mX6sCy?B!vL#_`TwfV%i(NO3ZRgTnVs&ljJbBMk0|DeQsrG7A?)Sa^7lfr&{f
z2zXrX?dGAj#ve)4cHru>vL1#&)YD}*mk%0l{QeSFt*=bpa1bj{>)u#Tf={5tMbCfF
zK|tt%KtpiO7VD{*<Waj&+fsUeF`Lb_JE0;UPzk#4)xv>BDNqU<l{}mr7?z6^%?0+4
zA~lT!VwC~BEEbvE#eE0^#Kh&Dd*ZV0*rYR!0VcYZ4KD*aRwGIg@haI7eavhuRtx|Y
z06vrt(m!<k_C69hd47d@@pq2UvyM)xW6KyTuunji`w6vK{7Db4K|!Ur?t`%$C`P*f
z6eb#ufmhQbsh^3D22Fs=hbawixkTaoDM!?R3g&A@TU`5(gAW!f{vf57g4T9>j?E#Q
zfhEF)$UF7GA+#N_OgPSzJx#bvc3$#iRAb%Jn#GLVFP~nZ2z-C=^tk#S`ut-qys@(K
zitZ+x6D(y_&GPPX_5BO_G;Z&P)6x;h3)rQcQ!tC!;`-D~f9*uMYdM|F6h9muzqZp|
z#BP^=NyJhy&U8ho!Q5oTpX{sR9)Z<F!(XZYIE~ox8{h~+qbj}bo0Ay9q=4|sOlGLN
z8cB0>us2ETt4pw=Le%QvaPy=qI7aTJcStW1Er%s9yu8FYhb>+>yomuhzdE>AH=tA}
zpN2!O78Dno3ANw461xx~TBVZ0pT|u{HHP+C{oc9f)9GG_YQwAI;4ONt5e!3Ox`n9h
z<oqO;ZEQ#n2Ugn71O7VsuPjpnH$?!Sb=s(!qTLS}c{>Y_&*ELB1H)FJavO@(W#YPI
z@62tkdG3YiPt-%!^G$zWo?yN1{T>$4K37r?UVAQsm^xtpIPU~y+)`wFdFuhxT~<~$
z=bjEYXRt-6Dqts~3lwXl80hG3fm@Ucm@>K@9UXgptbdEzh9lL95$=6hB=RYk2n$}H
zJEyI_R;u-@8l{$)v6GMn#wRLXYqfUVjhFm+eO2~^;*3%1wbp=Fd4BeMg7%igIF;+_
zl1S^~=H9C@Y&k8&#x9>t#4=*Y(fWntBx=B!xeLUo;QTt*#8h4iJBg1t94<n|)v^J5
zR6j739Z>su2tBF*+MiD4cHPv*upq~XomRk_#w8(vcnhu+Kvg5(SGO6t4jf!ce1VGS
z4Bjd8K%Z`}YV^`{B{iY?dQSaVtdApj=byst9fCC&g-#%Ltq0ZpAaLw$a=!Q0_t5d!
zKD@iY1f#l{-@)QgdGu$!`tn4<+Rw3x#6jz@MN1uAHrCngRqL1Aiw#ZuJc}WgP`@ZF
zu|)YTeqZp#oxMD@UEDzeq##&KY4*;kM~d=zC_IpS<p;h67GW0IVi^wM<KeLjLk1H~
zN!<a>`&Il#nCMUOy@1JI4-m;61+sC{AJfzI0(nN5wBpDfuSpQ=fw(zs@H*;B?B`@e
zvHPVN6(~9UYO~i>|KI<M<lqXp?;uhfW^%8CP(1z6HUo%s>Ih=NP(@WW$TC7k6+<N9
zFcS1~!EV{XR6c0zuL>%NFP5izbJX{=5Hr4J+JsUtr=gJaS?R9VwiLf27!nXMj9x?o
zNQYxCuh`uC<S2N8S&J9^5Y|QY?*K)ivhM2tq4FL2&mR1C5Cp>`sKp!a7I?nB<@+|Z
zEd)@@-j<dYMi#5$xQ#Sq1#%M+INH-AT3=hcTdxpl1j=Zt7_v4up^~B^^-X8slcH2H
z01R7<^ufW9<WYw5vIQznQSf@r-&6J$M+~_2^*7Uy^=2d2hzJ~m=fPqEQ4E8UsrR_Z
zH5XD}^b48=Tk1uyrTz}0EGmvmKgU<fyfX0%bR{AA?_Yn-?SIe1e_<Y|qBbbDZxcg-
zg@qEth7HUq7O9Rn1QzehMztRHRzYwOCrNc0@2SF;ZX?E%JnRG+_H=`00QWQuIm6Wn
zA`e*TPodwdJA(V`1nV=9#ev2p)33&R?@?Qqpf!jn03OJuo6XcN13R#<0BA?g_`3LJ
z5FWU@uahE*<2Ob?HpJqWDF-C(V~|_}!*!>;f3Nwo45awWpQct>xJ<9ivDk5i{ow+f
z>t470WGULlq{};J2K`S)MU&O+zeoI*oD@$2n0QtZH6{q4jFv{shaf}Xar}8-(5oED
z2w|PBb#^N$o>4KT2SEc{TSjbr6%kGzqkMo>7&Z3K75y0o<ifZ^x4r(%!WAI)d%xaq
z^Q>nV2JS$lch;vA{bESw+x!lLD#Yc@{$WV|6UZ<%al^>vj1du{0=uvcdAv=V8)R<L
zOdS+VcmQEztlXyvWvAi*l+A}3!dvtV4ZWWt=Mai<?Pmhl+Ie!h;@Y*iVbnkB^-Q{+
zw*TS|K5T0@Ewya<3!FAC>jN)G9QltCNgok;u9Oc!EZ*0gsC{iG)`K<0+Fn@ze%fKd
z=G0ScwjAIFGKtbY$vU09U$xrI%Kj78!Log8f_9l-U3x!}USRlz`&TXAczMF8yVTj4
zS0pdk!AwSo_JUJ%%-sL-`9X)G1Z1*8H1Jv5d-`F504CNM;gPve+sid(Syayjwm!h>
zjN=*uLGmbgGvbhDd>w5Au&-?*+PiVRp$}k(N2zR|YcHQag-*@$%e9$V=<%^Sj=j<r
zpBw=qFmr+T^~>*^*w_P`aIG>S_Q?TVuhQi-8lA>dhzKno^|a8b6J%!quJgCn{Suz3
zWPZwsSIXs&%}+n_QJSnAXyBf!e#lDK^qzBqHCU9p%~$~D)L6p%@&7=qrR?jHOc&o{
zNJVpTu7hODB(Z(*izH8|yQDZ>*CTZcNQArC9%6F$33N?X=`uw?hiEc9F7VOia1dV6
zucdv3U*?6nyVHDoUg<hP8=_e~Are|g(n<}EX%EV})>mnVpl0>IN!UBQjX~BgRVhUv
z$)6fE%Rna1_;SarO35@m65$gm6gW-VaQ@mIN?CLUnV;O{rV#@RbMVZr-ZLi;&T12%
z2KSn!&UU41wq(qBgcbQ;51o!sRq)?W&bB7#r<bP!+;FK{whWwko#@YJ#i0c!b%kT^
z?HgkXO7A<yLZ*NGP>ZD#X+`(JyMVe{9KuYr)!JiS^3M}}2CPGXmI4n>L3<5s>!Z3A
zdAtdc-{kn(_#f0N8yUjDRxx1AF#CI>d2a$9S|UoqV&$BKv=G_e1{!2JKnTFdNCO0|
znh~OQP-9|;-S>?7_=E%-W-A60m<up_AN&Rn7_P8qS6P$q7MNGOcD#qtvbHhz6<Yir
zk`*o3#DJmpULi^Vl0M-(?uYesx)S>c6g$nKof$KxuSsox0I*FCf~u&f*hkN-7Ed!d
zACryN@&I!axONC0LqhDA-kAKtpGZWg-lO&|qql}(TPd*O9aF%2mjlfK68e}sP=dFI
zM?8@+JFI&Ic2;29Iw9S)INgyXwc#AJP*jzX42)O2tiHNja~a>~v{EZaZ6Scd99#k-
z^{ayOd))t*{AfCI!H+j{=FRU%2WfZ`kd&vNp1C4^`LoTf>kPIZX$-Wk{e2l)E6Xer
zzWBw4;)WM};Afki5FyeVt48--Z%s2lpDq(Pqy5T*i<XJv&cKJ;JWXMv6gDJwiQ&8t
zxyPX1={R<Mg^g#+$hzM2g}qIA-`ZZ_&5)Om&&yYY&(r;XHH+ej$@63+ub8l&p+%_1
z`K2WVG}}(!yt|sP_(P?d;<`|zi^?t%=@bqb8Ud(eoJoGWDD4)FLjelq>D}g5EY=#J
zf~jnMH4fS_M)i_lW#`v>J3L0%-RlGOtZJ8<ha9<G7C`f{FEHj<N;b>2T~j0pHh!t$
zNgC`oKRY|92zqn*p##I>priT7DZfLHQq)TA>ipxp0EbPPd1QIHIHKJ;3XljPb5;n&
z%l7v$<-lV2_LbN=qKybhT7?=dD(&ktfyN;t04?nxEh^dV(~rw{?tZba53;QVl@J7K
z>mWNvb1Uf+C@w64yrdlQlRo}o@ludw!wV`)`K$JJ-RsvFq2-@I?1Ai%@2-2?_rtzi
z=^eX%>a{)B+S&Q}$0tvo#L#zb#n1RsM#b6YxGW3`zWaZgyY8>1vUbgkGR$CMR1ic&
zKS@A30aQQ)aVVaEjUo`55IRx~Ef7!~V1&?uG^J{!2L>=i0s$!|qabJ~5fCCE#26uH
zDAMoFtZ&^v;Qn;;3yZa~PR`!vyk)=d^E|JO4(_<fi$6nu@2So0oxO7H{RK~ai!JjF
z;j3+K)rjFh4Wz)r^oq@LKY#vl)1au`f@$<b@g@A2KVE-mb!(5<FTY&L#W=-HW7t=L
zcEUV8KcATTi<lUgdgOiijInxwRRox%T+}r^Jb_^w>$v<dYyOlWmc0c>98QIk$O2o~
zBuCt%y&0^)8{cxx+CEEH(dy8V^Q8CNr+np{c+rztr!_IZHPPaR0$QyrkSft%HQhf5
zIx&+YHg>^E<CsY?5iLjGk1ua|!*F&?EV^&s$XGpvLg9}O4hlZmO7E>qG(Fj1sgW0B
zZc<-PCiDX}jf{F%8uqrmeO~nEvSct5$T)u0S%c+`j}AylbvnQZ-T!Pv1yqX+)_dE?
zBbuj=U%L+kQs+T!=j`Qh{aUgZq$10IVfruZ+m#9g?1I_2)rsJt6TSH=!6zPN>RTHt
z;#&L7ri!fi{=b3}_d&>B27R!~wmSH`<&DT5X_3C4bQe8Fkc!!24grx_7%c3dW5FBm
zj)jeFaIEgO&D&S`6B_SWRT>)E!inCo7o`ohQmM5dJ1yS3<NYuY21@;x3#v4J^{xj~
zN~}_k@4+MZ4I>Bnl>p-IM_72{-2}*9o3?osvO^L>j}Uaq2+}&Jy7y<13uLfWwX+-B
z`g9qurqLikj|y|4TxAvjM2DLzP&Nd;a4DmkH^E535?4ylgkSnhp&x0&o~a4Py%Dr+
zz^lmQ<v&0uQ6(G{r#Ej<z@Vw<`1tsDnxN9*A<YPFzeT!?9J6Bz==tXWo+39gGIB@1
zM5DlJ+c;p}3&2W%g>>jt$Bvf|ax363acs8_EY_-b+?a!eRESID(SUjOQS_AuOL+us
zLfo`oKLv}$%FE|8Ye)nfU0zI@0aeQDOlkPBQves!3#MTO$(}Y+qfb#6;y?sg`T~OD
zfPLa08It4d#Eoh&f=~xYh-z@HM7xbQ=`yzi!ARUEA&zEW`jrV+&eGL#h5(x7?9=Z&
zlapC`oieu{k<TbXpgbBg9PZ)<GSLkXj@jvypyj&TQ&E|WbLqDe$Sc2#a+nq*^4a#S
zm2qRW;qF_Hm$Rt4<kx96ZNM~LKpUiGWb6#odKB$S88HIkXW#kr=Q}bzd(&2txd2`4
zXldCS@y>TC9FmACUaj&Nr-x5uKvXs=CIWOw_dO}kky`DE#i=<zU%b2T=$YDF3>I`N
zKoh=h6Q?gon>-GR8<ltO-i_&gmE2l)uJCFAzC}L=S%i?{+yjmxE@0l0u>DfdW|>lJ
z(Mk-0N<b38v0melkQvLvJpuaT<P(8rj1ymmdUB4c&IIyM@f5weeDvht+qWSPi5)qZ
zJ46a>3kFn6c|c=8zPF+V*8cstz3idk;u3#ck^bn0h)B7DPxT&=p?f^)xD47ziMz7B
zy}e1|+CyQWv^9?GJKQu9bXH4iv4oxvrj9F$(tdpepUAredk8W&iB!{*0{|h#jDf2^
zz=Z0`;x3p4tpQ`ONTyiCIWi~3>1GpPH=+%SCiATnDfmY~iIW+O#J-iejngi0ChWA;
z)bt*am8Ci{HAcopx{}IcTT;`cM@L4Q>xpUfd>;ImM%8s@I^oI^Zl?p_eIwMBN>n6!
zmApw4fEwro+e#*8sJw3$yR^Pd4d=DH-J9({tv<!0+^BUxSijtaA1C;bCcw!8V@Wk(
z9u(d9@_WGiJit3Mu#vTlTJpH@_kR>3Wza#|bh+{qBTuZomS4!s`0~boRhZgAuvZz!
z+yb?~IP1!8B_ie&1Li9v<-}y+$K3HPLIO!3m`>G7Z>n|25j8H~MNT6LK+kjqZ~jCx
ziMyI5Nf}vC;lkLfERYn@o_?REF};%gBaC=_emsC~JtCq3Ktcn4=6W7c*yP*64MkMK
z7VfVZM6HbakoX%ukhMnMhO1~(5ZU--)?e>N(93hdYw2t49m5=(5TjED=^;jsPI4LQ
z6}A%%u2S@XmT~gfj7WI3B0Wtit%(${Ht|?!;y^RtC=6%GEOU=LXKA2(@V?<gE5(7{
z3R3ALl6fYF-m|;^>S<bkUqwMJ$Y2Mh_O<1c#^A4H1odkY0G1$6SSm-%siONL9}sCc
zHd|9Z!vggC^sX|0b9bd|wC@}Wm{%^a@^%^!$T31AvX}lOW;Bz@>gs)!O-;A&lADbS
zS1rFqwY?J<`b0%Vi9zfei-|k!fW}!ViQjWLgK-W<^C!6szI)d|gPjMD15jU$0Jf=v
zLRrn5t&IhH9LoqDQTd_WXm~hP9ZY9W0VnB7a)dp)57hQ=HOBbJ!TqWbb1ynOI~@$=
zGi1@*8AQ<GEwNP0hL`weMDEeNHmi5V5plgtfkaOJ(H<WHz6Ayb`)cGlo%ExTBMNxb
zBKVyCKQc|2kPxl8=;CjN{MSexpy5(t02dCirg@0JN1zQ#!UJh`pP|~@t4GjAxdX;v
zC%Vy{ZwUKed1@=AtJsrx3gK1e;QU?6qjsBZNAy)x>DF~&ILNSCvNRC!5M9$l(7%Fu
zB3mXqhn}(OpX*ZU&CwAx&U`I%d*pK>Ec=z&RHM+*cDVdK;eTYcXLI+`@-nUT;}6WO
zsSL-Q&s^@BAGmoWNFmB%3zHhKW0jw5;*3t&ybC*QRsY$+t@LY@x=-tsMZIg{;nmtR
zFJC+ON2q~ehkk#Vo(urP!~>nSHxJIO9YFWpA+LM^cnumcg%@asKy*H@9SxuJ<nI#6
z@0WS}Q`4}q<romd{pI^{AWpOfECv}cKTIN#TI*5dFE2fG%ui-r1wOB0kzGhUcj$hP
z{#5-->7|vG$%j{k;hF$wg{S<|X7rLR#~Ry!s8Ry)FT`9UNXl^Af*3w+HG|L};S$+E
zL<8v$iM%Bp=*z-FTr2p2(a=IApaFBfj_2x5qB#@tkWZU+ZwL?Ia`hjjKl8E0k?F9B
zaF)y3D*#O~Z;2jeE-o$}m|EwMEMW(CJn?JA<dq9hO~qqpouPD4Xx$o&`mM$t@3+9?
zsmkr2La@Rg!D%PBVNhgxvC^YA@}q3_PS}*s@X)<$R|rYT$-O~83Tq8G(UYTzJK#}p
zV6>sp(P%8t-3KA9iqO2|S!)3de%Q+NY0NfMtx<<ZghF6$U$1}?nH2h63}Q(-TD^-Z
zxv=%yjXHBq6PS6&ac1Ehn4&=AHxFDfxaAECwIK?H$#K41_p0~%a7b_{`;E6Ia2yq=
zfZzv1MDgV1EFzF9Vej9&_a7OZg*F?U(JA|eusJ(yt)?y1mQHa|!pfaWG_WgZ@bEGu
z8yvPcnYAA}x85Fa>gL9dpEZ`?f5J{bpGm)MVQ#*i`NrE=m8)IVh;@RjtaLR3!iya1
zQ1ik^EzBXZFToC5u7fI9s_e3;x2NZ)5no+wIPBnB8`0x@^l?`}=4_Si!y_b+27S9F
z$YV%AS&Z=XG!+lxjCQSVDWm}~1!vA<79+=zWv^z~g&ZBq-BZ%u-d+J5oHA(G!J-MS
z_Zc%vc-OoJhXAK8ZOMR3`6?0_RNn`%Bj{hcSVf8*mvr(Fa~XtB8`}v6o*nJ)9Vo?|
zE#Ts%Ve^CF^rz+T+{j6B!Pq-VR3jY27w|g$e+2>+`rRPQfKb(?2Q0Z5lz0%%uu=<m
z?2FJ0f#Q5KpaxCq-gxLg{d#rls2oH8ylmQ}P-{&S5ar{rOYix!`8T(!M%UCZ4a5x~
zfJGq0!2*x47k`FoVz5|O6)WeN=Sp)*l^q>Br&;0k4=_+n%*J()0~nKLrpq^Dua!TZ
z?W<V=W>@|VRWWZ~RNa@~pq>8kSZW%Afh5f6)wr<U#20obu<&@i-qg~r8f72&e{IdX
zz#nI{`;OoJ|Hx|bWYGP4-SRTp=Rqw!=-2Ebr|H}>d&^G+IYeLG^}3`xx6VA`U-vM7
z({zad*43(!+qLHU8@ru%MlXP5pE+PRF){JS%kMJXbp*-#rmi(1?N}9RpwvoV!-zKB
z&PzUvxVX}SioxRju0qz}jJ<iiM4ILjadNrTI{P{Yg+j>!0iDGtJw<K<A;P*dKf=B7
zN9Cx$%ke79(~UrcJ2YnZjYIZeF2t_%nXj74()Uf{fOfmyC+b4#E6>In&{N(un;V?4
zTmifp1UxiKfoq5ElUf^KaxpatQJO3F{M2WP^Xu<gDGK&M-R*p~gU9B3RKa(FNda=d
z;M#11QT_k!plQ<Xs@aC9fyL9Vi)S@A$F&cW$;}V1I7_|k**(+f%_{J!=C1uNQm!f+
zg{Z+qMD%Ar=y<BJ6O!K5u_^s95R89+>&%(H^#F$Mi%Go<D0b(P2PxFg!c!9-L7VER
zcL=BlXhVv4-c||>WX>IxAx3?_)AP3%=SQW|TkX?dqOCSEVP4t=@Aj3p9OTwii`iAj
z6s5lOh*$DE4w$)M56<Z6>9GZdO2*|y#Iq@V=D5Pq>Xe$|;$o%q1LsBsZAqYm{e-+C
z88B}R;(u%125Z?l;=It4f+NkPu?iAtUSW!1e`%e>iRPvBUHouWNBFKv8twI?fK+#2
zDD--Egc0!BYv<Hcip5Ce@iatCRoIP~+WI`d+j9BcNcwBo_$dg)zw1*`RI_bDwq35u
zOk*yqK;+KvAcEV0*W{hJY}kNC_&WtIPH0zV%WA3Qm7ky#(~~9Yh^@lK`FQELb}$q+
zSO&cxpt$_;e%2u-P2~WYRF>eyKBTcx_>Jk|jeKgIVYyBwCZ?sOxz&WO#DE#!3r6eR
ze{-fhppIkV<Id3V$UT26^P;8^c@+rAQhfmXkk>W7KzcUoZgWnuAbDNy-tdW}`H4vO
zmO03aAA&+NsCC{L`O%c^82{QGza{~-&*({mtYN<9qaRng`kxTRo~@;4K!8t*FsVh4
zWy#pQBQZcV{sz_u&qWR^6rT+od%%xgz3(x2jG<2>Xdiy?bQ+B#)5q%u=k@MXWgFL}
z<MFX|AEFge!HiSArqjX~N90cA+ZU;hFHswILWe!^lnEjjl}IL}qnd9yPS9nVMkfFB
zDi4zgXojcHo@Ky6UIX+gHugdD1lI|G+KVqPQ7W*K2U+?xW?+@=mt4T;?3jvjis|ua
zh_^4G{B{H#2ji+k!p4H#57Q`xS87hpw<-YAwLg?`jFE4x^9TT>=EY?dG=TuZq^EWZ
z@$c)6EiL+!Ap6PVQQZJhoRs4U4qyuaV#&Vh{sG|Q=Xo33TT`Dbdo?_zmP=9DwwyR6
z;mPJ4KOdbQogw)_|Lx>t98k_E^O${X)PHNZCx=I6DQ3SykB^N_)@UVxQUoXX{ohlc
zv<4dKwk3V*Hv2(+LD&q$02js1d*%o9#Aq*>2UiCNQ>0YQyToP!eMnmoiA_%EzTS~B
zIEc#U?5SU|J-79eR`w8bpV!4OkN6ZG$R>h%+x$oBLRi2&Lsi|UavHt08{gtmF&-*n
z!;rb1Of-h5C$la&%hD~k<#a&#Qw^Y7PXgSAW`5ws<>m+X>0YEdou5SbrFW&9Kt}Q2
zj9EsIcLDQR=?zR&Kz%kbD=X`9hXLy%h-!}r>3epzO!R(vLLO;{b5BBm^7y1%i4E`s
zUp+{dA*`Z&Mld&&fP5;iMRx|M7z{WGHWhj$yLB0BD64ZzV6-`E9Uw@Syz$;)p<;w%
zW6m?!-7p6b;P`2X4NL5GCSqjF;_*A*v2Yh2wN5D32i}v8oM#_oY@pyLrwPT&xSjj4
zAN0}%L?R7N0<La-AWWzFnY>kx=THkcK|diLfTV%yW!pTp?sCQ85n%nY=(yU&=B0~6
zi~`bY8KXYbIA5>-csDK(3_A9Pj5C3siVk;<a7o<PM!-Br%rUKd6&EV%?@1W_&=5^~
z9Aj%xPhQy|6avoXe+*fBK_VnI+vmiHGE$ADg?A_I>#pOCfguP~;#Es(bypkAF0!`d
zuZCtG#&G{l|EOZh=;~HCY@aNe+7<Px1g%Za_mTSWpT^;1mkw1?o?2;Xuqw^}*EG6A
z3peMH_8EB*Kvre-5&<zcT~}8}9o{t{z=pMa0FH=diK_pYx4^+8?DtAY@C%Vo<J3hZ
z1X}dkEF$PNc}7OAhPWGn@v1aurYyQ|6|hkquhK6+weHwo5*2foXdxAQJ$g_^pa3$3
z&wPG8H}8;D8Ze{2j~_oyPGzUWSC%%g>_fg8pYUtpZ&>Wzzkkxzr1>8B)FI|#p{vN(
zN6_-wm@pfg?D65@(+l^i#B-b^{L3c8>x5C75xUYiG6~~ehPnw0*-KoIa26x+2P}Yt
zR!N%z59k^2%Fybm&w-~Oe=O5xT^bt{v^54lEe2MRF7#WlEo&irBu?uFYB~-po-yUc
zo_6sK30dS#{VkWF`o0953VVYp>n#jpiYX{2LrN|+86KF42{e>v+cUd!=9KK>YwJg%
z#>1({#I(WzO{h49F~gTQuCi51yevK~fFKrR&?9KG*uyFCrKx-U9O^j8vl6**r{dzz
zA}~?PDwuzahXoVl-~Mzn$uB4<9ZYuJc4U$O^E$4&7vyY5p7-y*vtGTN%>qS#tv#UF
zu50?_-BI`(o3}>+uT<oP?uA{N;4c8YX2%2Rppt})1t6TmRaOO~$wlsvwEpGiy>57g
zioqGm*N^W){<nGXe=hOfOgd-A{F`_##i|un7!g?Xz2w$lm74HY@Y7b|!mD4iHMO>~
z#^C+33}%f-%WWKmcXA~07a_Iu)iPX^W*7YEOTy5ov!f7Va1;6N1>h2DwaDeLoR$?K
zbLO{j6$_d`GxEIBlYg&UYxeIF!FNUauIVoRx0@jRxBRq%UqeEJdklQbgqcZXTT)%D
zQ|UY3HV%r;ymmdh-9aLz!p^G$(pEBTi<V-%d5a(7>a=*)@C$#BDEI1b#;s2-x$emI
zcNlKQi$V66uqMoL!a^SA;{C7(+3{ublDC>lAgm>`1iod;^dmGY6WW=}Y815tkcB1H
zt`oZ-!a~d<f&uI_zDZtqL*V26cZNUDoZ%6lfy55TL`$BjT{yudA6zr6j67SXp@Cl8
zamd`hJ>_F8Um@43?E6(Mm)(u79dKCVoX*Ii<SdmFcPTwDo_*jI2@RxYb55gcg;+JM
z0E8)kndGY`!Er92wn4L25U)!F)rqQ7`_CqXAPt53A~-1rlS*7oUh9G56brXQp^Ef}
z9DPyRUjut~I&?NW7WwC->IOC3_1jgsICuRy%P@FgF6J*{vACdbBa<j5S<AwSW9Q5z
z4Rz;5pbTitm02%&E29ln&)H8XzV<ex&DBJ6GH|*7j}M2T^;%+{s<ZLGOBNAn`sZhw
z&a)R+;LJ}k{V2#yJ!>u@WSwtmWvo;fx1l$yTp?DUgR#56wyJ(fU@tYN3GuqP0d{RR
zFASl9WWNO!ZQ6%rxq7wpQ_nb(x@Uxdno}1fgfGm6xLc0OpI@EJEhGl#=12JaptjQG
z7s_t5-<TFuEM4j56-dp2`m@cCZ8az^OSgMU7ebYn+6R)h5{aHawk091ftv7g`R{y%
z@RQq+mC3y+5|-2Hn<%m4zi$v1QWzU2TdwJi?%bHKQTHu~E4z6N`D(TJvTZ&;PLv<7
zV@^#LpXA$3X}=D=(7BP!%M>nJYsRdCDqMWFXBqMCVz^;LXt}X5{n@R~4Xj(hc|`w`
zbT{jm6u#t<st$WXd`@#D=B#dn>0J?#UB-~9i7kIVVYL;xUZO3~WED^GusLqRR{YH?
zWn#dZ^Y`G1CCa`Za2Ktc5|SfdN;*r-9^YPmqAhr&k(L&bFldRG;yI+XKAo#d_GkUO
zy5-NEz=-A&XmIuY?08$|M;Wd+VT)0)eRpwrpWVnQno;b;A11q^s*)zV5J_%zCw9WN
zG-4-Qa+WU$(TsC@vB0kGwA^GZE=Q_NJZ~+c$3I7@oB3xl+zHJ`(Ca>3tZi`tuKMFv
zGUHODZ|8<}_YEu0^T#!#*tXhI;0jvF|C;e!f^l+vYXHx+BC)Q3*w}WUT|-{SZcRhw
z+u9^yTQRodahIW6))H@Vi((u5BQc-I|C7J5w2&k~)pCv!ZY1)9vxc<p3Tf_l9PbM~
zhL-fExizYjJWwPqe=_%Y<mxU$TxIFmuV0{3mhJXmObGjjdg>Th7|xX`MQD~VPK69m
zOi<4YfN!;>v|ZinW~|H&5*=6Wcym})X7ES1cv7%l(?6SJ)PRlD*H#JD_Zb$Si;`R|
zIvrj!EZ37&1VU@`)|CYarWejyYE=rcY!$AV=)Uasgm2y%gr!g@zVOdRLk%u>aSJU@
z&v}#NwRtfynv{omPTT{hRef~#>=u`;J}R};6?i>dLOI5o*+4Ldk&}C02RHdF_dC$z
zpO!NCzTgH}Fq~<p(YTXIcNnVEU=~KJ`#2R9W0$EU+|GcvLa#WN5+k)_xOJD9CN8TX
z1}jqXyL$P`Or4}|<{4$*2gfp>Id<xi5q4)?=l6(XVQx=K%fd}f>L;?hXCKJkelE9)
z9D|r^gt)TOPyh@OgBQX5vWRXu`IKDVT3Z5rf|x-60InQ)R^_uxYyz>~HedML|BpZU
a`8yJH*52lPf3HsAZ9-;OOzSS*O!yyka+lr!

diff --git a/reference/ggplot_sir-3.png b/reference/ggplot_sir-3.png
index 2150740bc94a93657af1c79373910b0ec32c8090..c14de097a9d7456d5a0a4175553920f4a0d7efed 100644
GIT binary patch
literal 49293
zcmeFZ2UJttw=Wt%ib%21n<W%MKsr(t6$v0nkzP~;gaAS5gc59gN)I5?MS@6|UP2(s
z2Z%JKgiequEp(6)cq_{HKlh${&w1y)@x~kDj&b%tvk5zUuQk_PbNzn5IaglZ*1O5f
z$ju0WK$u}#*9{>MT3-l+<~{=*cxUK!#xi)JyRUQeI(P-g_BCuUcsc5>W$poi@P$(T
zQAJIy*h3&^Ah7FKjeS!VMvwu<8@Q!|EuZ$updaT%Xbp@{OWw(w>~lNeLnRq6eafP8
zA}FPz0$Xuwq((og;AZZ|hw~%OuJgrr<|`gmHs{Wm-BQpHI-6xFRbJyN_UYWl6Jvwx
zS0!L)&dMaV?(FYtQNuXTB;5FX-=?$Kj$gNKewSQWzIsV-I&~?a?&R-w{`Y_X-&i2}
zIoIMb&Ri|%N$?}AQ)AYZ08Kp)lX2|07_ON~3Te{JG;rLQ>owJ?X|hl@>Iy}tF&&{+
zx2f@T$}_cNm#|Xowb(U+FAAbZ<I5D;!&Ku75Q@BNrd<Mp?SD1i=V96BJ8Wq5e9HGa
zRL0!G!d?bO0XiZ)8;f485uiW)@;ddcTeqa(i>C;K$DnLFNfNWux<YF<;5Hp$QpeaY
za?aF{EDPuBdI$u0lddUr&>eGgzdHwYckbNrL#I^`Mz2;K`}2^yZv%LiE#S$5Bk+RM
zWWDTWCQmCB{(6fpM?u_d4GC6k)+W^ymnSA7k+2@VQ{ck?_05$t?&X*(H*PelMnpu+
znqAy{j}b73FNJAl2G%WER=89fpoR3)0%qRU9X;&G<0OQR>^cWaXaTf6<+9Aj`jgDx
zANDvoJ3Gf1r?os#s|eU$700n8yDRRYG5WBb2N&6qejn_hIVB~lm4v}3W*6lv`{ZoS
zIo-I#nX<gzt-tisP5Ek<a?_iGqKXRdcn;!WZy?p5D#d(5@Au~35zc`(F0PTESinlq
zLEp$KDk)OCcHzb7IKAwM9yWd+yVsm{{6fRDf0}s7>@wT3w$dGRxK!r@<)1aAyb*mz
zR*!HfPQ=M%=`j;wa1H9!mU6k&9G#SuR9HgLD<#+{^z%^t`8aCqp)FoZx=D92s77sQ
z<;t0l?G|FNY$nHWXqI74=#x)lu3*6WwEfTUvgpT_eX+oba7Wav&2*-V%%1J@;^^t?
z^I@8)+d-15XGjUM-L02@-xyWTX(!*7C^Hk58OR4=DX==`8<t;QLTD=GlN1rr5<Yn}
zClA^X-K=GJ?OH>{Z4u8T41L3oWqqitbdwcNSR;Qt=I*6mRhX%bjSVqqBDf$+Y8r_a
z(sBOM+KP2+K?^2_`le_56tVLg+^k=vZ)p!-ccRkI(r(VRZxU8XE_&F^9*^67@3=;l
zX+QHaJI`bIds@4~{>B}~rXkg2R!(NOOSVIuX;T9M+l$I_-XmgZ?eyWVM~w7(NU&x<
zdEy%%8>6eO@}1K(nys5264CQVG<V8qM&tNV!BfWgp;KMlcCSkKmKGKkwu8!89d)B>
zYHBvn5+ou&<MYqxX`$E_7~0s}e47ux*dB6aY?weG+_JZ~|86W=E^+duZedOi*E-g=
z&x<JE#4FeTsKKkPwKL7BYt~9^H{`tT-p>nIONW4QgiX8Y>W>#IvHR<7Jx{leupn~A
zSGSa!`9|h?15OcYeYNkkR^%5Iplly7zUl`3*+?>7W2<lxOI*)(e2<h9xMWe0w!4+=
zqp#$aXSx=F#5q}PH&rs^j3JdflFCi=&dk4G4t-U=nHr-afchR|L{%i^V6^2t99zOy
zNznTlRO6;-#{xb1GEV5^OJQiBYvU`nc8}?{qZaTb`6jD+&)F^?!JOROxy|-u1tM=$
zbN#tlN19rk>U4Xusa(I5P5+6@_11<h4^w!SwZ9WsZ4#AzNVGQXl@qJxw((N+>&|L-
z%XF=`*O}9+rgylDriV^kK4625iYL%(UVU3?*F0S9p}M<NwY|C~`BAg;cZY=PR`+PK
zM?Cvd!F|q4V>P>`Y$#)ABv1z@e3y#|cy<&u^VqrEUMZEdowELXAd<(fV<Bi~+`Wlc
z>s*ZQ?Jjt+*}@~3sHkWX^upb6zv^s#FE20cE(^Q1ZJNYWf9Ay%x34*<N(^Sw73PYb
z_C`D=gwEFx<Dt!u?l*9is%PB(sRA=qiu9<4BBMzJ3pk6s@Zp3SjyIx0fH~8|=@AB{
zefr6f0|d@H=yNez2KM$-tPxVBP*<}Gmx1(98KGn?C>jxNe!sxF%w?ct3ptprm%0-J
z?eiK*RCWCw@;V;#I$p_payVNjg@}YP=Fo;<;l&(-3gHiK&d%B|8t$2*^UD)@dVA$I
z`Au)%UcREj&&p*d@z~nOPLbE-T+GkQ!_zgS8*`O4-XeB8I?$7qI?f0LqQ24x2|6yy
z%R)RiOSmmkhI#ky{@Pq`9wM$MMmvk2@0ZV!Lt_-KEHaLgR%!i4qOKHO3$a<;{g9K>
zVr*<20D75)Nr2izUE@4`q!Uw2Y;Eg1Sz@nobz6eoGQkvpjm+)r>}n2H%r1H-ly4%N
z-f$!*C5@vyiV105-@bjEA0z$~ZL7b67&t#SXM>i-aF>HX8^7+mH4z;#YhY=K)uXR7
zu{1T^`iKdoS62AP*i%DnwSUeb(en(xhjzke|Mw}yD*xx%;Yns77(=ETnq6XxFmVK_
zCw&P03Tu*mns%f5=#83(x^>h|OnLRttbAka`N9{k^>C?Lc^B_`+L+hX`Fa*diZO(@
zMNm`v?hZKuJi~S;YVpy??p0)ZMg4-_tR&VbSFF8HU!V7UGZU^Jo`uLqe6R8K*SGv!
zp6jajq2h9eZJLT+Hrtvs1w}(Rt!rgyA-@d$@ZaCr>B!|>v^}*-BW*Gm*Y>l?$H(ao
z(h%;Q?WyN98ogT-mR&B9Mp#%42t+t1Hqr5A<@cr!8P?ou&>K0phviRE^Okk{4UkZ(
z6z@zk<Ita<pSLvjnDZ^i6p#)+S|k4MRw_{ZfY6udZMiX8H)*9*_!jXr26XD-%8Gr>
zW9zWddEKp}F7!k74drMIA}Ig*#1m`5`L&4e;IXN<IeQAj=V!?fu;8-vIeQ@u%au?1
z=ZNPx(Oy-Rx3ePDJr$o{(}icd5v$<!GifOT-(s^Pw^qGDM>o%m(L#J1EV2rEzIEly
ziDS29>$}pr5{S+Qi?cVK?vIY*RE<oMD!qqL*$73uC)zZ-gqFpk57>^+FQ3yOUk=$G
z$h>+g>KV?z{o$GdzvcTbl!0c~Tm?oR+EwG^Jb)_VgIwB?u)^Xx`x0r^`2x(-3;Xco
zMD;><22&;o<kBU|Xz8n#lwaFQm(@%cX-Sak(!ruB=IfOcUhlPgwY#qRE%`@=zpqZH
z18|3x@!F?8YF7?4nt$dPHP4484|=ZHZoQzMcpCYxIbj}MOiRwDhVV9ZTx{u{i4yI}
z)?V94Wmb+?!Nb4ZZQZewF1(%a;OL{|L8G07O3U)QDpZmXh@$83p{cp2og=EfwiTd?
zRk4+M^~7Q%t;;lOU`Vo4OEOjUd$))BszK;}&+DFpWU0c=uelkU#I(m7Zts@3i&DAr
zwoW?PyM#QUQKX05wLNc5xQWh1_TFOUgwZqj(pwT7gM+reyQLbW^v#^Q2uyEto??2@
zA)e9M8&?aWvRMZ%7hrbPUHX<Rlr|0=!iS7xd=$yV`L>_A8{##dRvEea{8-1>a??Sh
znxF;=SG}5=Ma8eO5PUSRkbNK>{E|J&8)IGIra#*(9KN!r1Rml4`w_VZO)}`XMezz#
z1VIMv=I4`5Xq53E?^zL5{=%~pvT0j!UIJD#+iy7KQ=iePpqVb(+Q%WxKKs3ZZ--Qz
zCCdB7@E+ufNv1Wy@gtoP-NV_)XHPVD9+>Z6-32p_i5?j6ZV%H|yZ`6%9fGoQZ(6ax
zOOqm-0Mvy~_h33LthFo4(JVXuLoNg4nnKcHQ@c$31K^?OPQ8k2CQ?yB@Mksg#~_?+
z4S}VjN!|ec6^Jr(l2<2->8)YP{riq=^yTkv)HoVp3sbFfS5XFo+Hhq<${n<+HSP09
zX;JsMB1+Vr%JoZML9fqLU``hH+MjyGLZ+pLpi*vvTQ6tbtn~i*^nqq%jKu!@W?*FS
z)X)2Yfrc&7yTRT889^%sq0Y&tKrC434qhp?ry2ah4EY!gMiKPclI}xugQfTUuP3O;
zc2=fcZeUs#Az_+Pcg27w7=#WZZ08N2JE~m-g2_mKf7KG!7Y0@_bDaMM8@jNV&=I$u
zff1$&!AB)XSPv$-wtaqnEZYJe>|B7m-i1Z8H{UPL-t@RNqrH=f;VL$BX}E+q0eSoa
zE~sFMB>Z)EjC_nQlb9lJqwf|rUnzbRm)`cFO)AMesYop90wE{#Zm16gzaQbrJo@Q1
z)!fQG=}d(QryB!*0Z0=bor3h?W(h5dUVl(O?Ey_SGBNQUnNi!S_SmJbh|z+6>*+BT
zn=Qp9W$V;jj&0f70$p;r$UfAMY<og`tf{(i_jUOuVRLg+?CaOB?{)mMN=iz~Dk?S;
zaJwdV?o7Fk)^0n&7x@65c!q@pIB7l_4bqVqR_WbUs3s;^<sxoLs6HTP6^?Wr%)Yr#
zHmZ*Zf<Vs0G4N%UihO;<K`{=F`;y&!nm4zV1_JpxF-D7tJd=K~Hxoq|b>C`z{`|Q;
z;B$|xeQGH*K<~=~X>x;Y<HSl{FB_@u-`Ji`jlN+u#<6Fq`vCym&ajYIuU;X!d3d@3
z;=2V?FCmO_L}=~?5G!2<9%n*trKxP|MIpGrD55Y!3ZyRDBDZeJzj;0<S1rs|K;Q%x
zyR*J{VZKx?hR_&1QkQMpIYF#k=<tukl>0wMT4k&}f6DkAELbnjXH$=QD)EtmcAf%W
zX$J5g7HVm0OEk2!L?&Q}+BK6N>AS;aX;Q!+q?(2=z!G&G+yVp1%4io?S69o6>{z|7
zbZ9CsOQ_gRDybW70~k3@{pj8k3|bCO2%mRi2yGBHgLClM?Pt`~C{1ms0y{yXr7QB<
zt}Pj|s@gh=jhy$2-+(##Efg_*JBCGnHOpg2&ZB~$PQ<|lx%C$Ix74>hRD@=`Je2~A
zF`<G^6sqY}L<kJpUY)Ys*{DPZotbrl-GfOA{G4p!gcsaVN|o<QtEtn0s#*d3<*fA^
z4*qJ>O4x|OG&U!|S5|1|mE%g((6R{KPk+5eQyTQxg|?`ClT6C?*zBG%gaP#GT~uKt
z*uuG{TR{bQ{UF)XyZ)M_c2X~v_i6d23XBiP4=%4U@87@A%P;TFFYjZXRs%Pp99O;;
zv(*;P%O9bpg4F<rd%Rd^jlB=3`%B=1((uK;-f~9M!g;+VF1zqVaO1#=%V2KF!waCP
zU0Bt4ZPn9EbO^Y!bB#$C%@23qB+L!M;0<8^RQ2Hf>oC^pLhReRy1Ite-GI#jM@KF@
zA>Ye0sJ*=k)G#>^&%7M!`Dpf6yqKwpzZ|iHNZvVRHyYHQH;Xdpemq#sCT1!@T6eBn
zmt5jKwGfV!<GUo9f9m4$s@z1Tx;k>_`>hC@TlC>cn^CuvU8lY-Ava6EZ~r<-v-(CD
z@Abrg@S8t&usRTb5CFdq?VMHA8%nwCk;c>FLCxt0_`HN|-5w4g@-Lig*WimrfH*RS
zHq5a+6r2s#+R2e}=$!c+E_H)oVGb{?J0^ZesNtpMs@&Y%70)#?x}mC^ETO^YoMNS>
z2Z29+pb(K}LGhxZBHObq&onZ`unPXk7jw=^N-ot1>bwTxNFW_`$dV;|hS`3>y-M#2
z3zcL*p+}oRHjo?q<cNh6dMBtPBadJsmHlF*MqN4MM0v!hZGKt5f9sx~P{ieGlpTiR
zxcOwHIdxCat}UT9N%GP9=@ZN2TG1CSAiG+L*>pd>V2<JIFsktU6h>dcoWerV%^&Vn
z23^c(2@}&xLt}~^?~Fy`iMY=`od{OdPlZxK^Lj^9Q&Uxm4VxEdEQo=TY8n~0&ANsk
zNMDAbMa9JG?Fw+0k29nU4Gz}i<mX>Z(#|5>I2Y40!t?1L8ld)AVk{m53{Zj*+o=rI
z$Uu0iTX%Omgb(!Ko@`-UJj~%p?X&qjU#ic?XgL9LsL|DDl5h51#jzvhZTY5~UE79E
zf<&MxIyX1hjaciq*1qDqCx#A^Usj$+w>)qI?!9-nnK_{alm6ORv1^95*7#cuSq^s4
zowxl}zV^{e4B|Iu{Yng6>qzZZ-={B{ZXN1fm029wJH4EBSNi+8*<*m?Z;o0DB&?q=
z0&0WKEOI`md}CPuU@&j{RYj0{>E_7Vk!8MY*BN`#ub1a{P6)xp!<taM(XmuZ`<!<B
zS-Zq3Ro7Y1op#b49EWzz`PMfwSRIvG#b^&e-01~z>_ARQ0Nm~!3{BniCIPu)Y-*bQ
z`NuMa?{aJ4kw2bu?E8JRtNnQXagc*-$1&dvoWv1nAJQ-pIDTZSW1#N&1F4I6j|oD-
zcI&!w(DX>B=H#BWO*?IPlCIM16kKy{YG$dT_Q4p#?GpP5%d~wpwnVaA(KNMYcet(k
zuk@RJvL~ykms4a0Iozulo@;PuE9rERtg+s5n`H@cakb((x4MQ&5#M**t+%k~Nku&u
z$c&<XSA67zl|&0a23!8xcI9wH7i>FdYk#=^f*<3MNRbQP-+MwT3IoDXeA64Em(RAQ
zo!vy5wK$mb(oJtHp%*xr)UfV9KIfo;@c0V2Oz^|-L_w#968lz`DrfnVFDHR_gP<yI
zS+PJ)+srY_4uZCLS^GHXTLSW(hAHK3=K7X<_jfRYK&mgyP}|tG&4MV#$wYVRhkL*F
zp!lo-EVA6&0LXst4&FR@@`OIWyi-f5+iN5O{2hoUEbv8U^q^HAPK(|=2GD)Cgr3pS
z(ICXq=G@#|9L5ql!p->n{dFL`w!Riu(4N!EGK})~=sSF5<n_xO%iu1Sf`K|+d1yoQ
zXsl<w)bu0}oAQ$_dU|>u02M>cF1*^XO9w5Dme;OPPSn-QD=G?}xiXWVpPzDeR<rq$
z1l+|%cT1f=tdUeg2<qfqyKiJ<WYu+<FlYqg#Rq+cKTo?`|JW_IoJc15U<F5rWX_Kd
zW#_d0Yj>qY%FD~=p?n|G3Jdb`kY-&CPg8mReB=u0YxTeQw>yTyA^sfc=l=VYVu}Ah
z?7$egNejWpxHPVFy@X*W>ID|(Aur$_eolt|_sS$GFah$76<~8-4c4H?HW?WGs7)_O
zgJZA|dH131Z-wWrfVM2<GH{^uPb~kY&;RjhaSH|ax^rqNQpF-<Qh~sW|4949yG#;b
z4J!=*u^|v%x^uR_UdR<PYVInben^{W>hA?nnu1EX`jV21q8!T?sBQk7{XaX+0gCmX
z&vE*3!Q~tmH}jj{Ptvc?8#Qk^A>Wr9RU(GViQ7Um^Z@Eg@fG&YZDO2#pzDT~hTV)$
z03)gTVXFeU%X;|q$Hs#Wh|UL29t9(aU|161qv;jLc4@y1Ow&S`C}yJ^mls}K$f|MC
z_<nWQ`rq@$y}IWAg<@X0!UW;uK70ZT&HT7iU|?XFvmRg3>#|<5K*fB7uSGT+{l;QT
zmQwZ4Z?(^T+LoIRRx?MGG8Oett!<7>XZ!E;t9H_8o&+uMjYM%!T7hb~>T~oN&^+!S
z25{Ni@tbjVdnRGd`s%s*e<hW4)s_#@sRTA~oigU`S7;CPzo`-B8j&ZrIJZ8oVl7py
zRoc2H7d`BAa}Zc0E-2vh8!B6R2;P#yyTQS$$v-fdv8&IWsUJ7l$~l{54IBA*FMBTO
z)Xtn#W8e<|2O-iG9Gm`<UtO+h&YeYApucViDaj=0TeQ!=h~Tp15y&OzWv=BH8W|VR
zb@t&oak94z!!R8A<*WptPdf0NiqK5$%`>$<JIf7U)P)IX`%52Z*z=w3$|@LWx@cA9
zo?E_|O&HXH;>4UDfv75KNd!!!5TmZ0bRw)#o@t5Y_ev1t)evWRCyvCd>zFVD*EG1D
zH)I6biQJvyn$0Q|W|_CLRjM&F)fMS7xO%e?<D=ZY(-+~oL+;SSm5Jq;Pwle0b^nWa
zDzr(nLQok)l~+1WxP5v;%K>s1Tz2d*r8|Zhm?+pQPP?>Yp$+Ow>L3yy0ZEkmghAo_
zat<xg*Rs}K?TNb6IM76^*K6S()?4CzUbfC~IFH!uV_1D|etvCkFcE+U6_~yyeCf>Z
zqz!7=8wf^fuH9iz2IC*8s_Nr8t#^x0-fHuh<h<|@GyDANNU))4_46t5mo$+F9+rkj
z`&b@6m51OnVu7+O%k9P6Y%T<AdJ_y*s(_2^9$mAZ8Bz{um}i*W=f^nG29W=oG}s|A
z!qlZ(9X&#As>2Ah+u`p1{x^}0_YvAVG3A?e4`l~ucI)h0U-Jk$txmT1@FywLQyk;h
z4g3O@SAK|kATD0Q*J}tRu$UOq>mhPXF)425p^@V>ip)P+V%f}b#M33{?v*ua2ulP&
zczyZiGJ0K#uw*zKjwmQ9Lc~1a;pSEXzoo}|hC%J66JPy9h6YB|D(mX@`Ct{`5N8jw
z7M|5d>#>A3u#xq)oM4igncqi)?+0Ergl&0gp#gF^N*HVe{r^x{sK@tY=yyQj&FJzT
ziwbe>G;@VjCp|`uZ8kj6L^O5p_8g&ugx99ze&S)G8|s=Z6LShqhtF=WO*W;yxRYm+
z+Jm#$+Ma4nK+N_LwRb`=*@DjnaRG1Fc<l1aO=dj@wUBc=5;5!UuC9x@pNJ<Y7CB?e
zTuHa|H8oY#E4)Lr#VEsW(qfkUK+~s|C<LqV4EPb$yx+W8xXPT)Z**yLjRsN+5-XIH
zfHaWW1!t#$w-_m<2EEP5xYq|@|C6bysq_-UejdgLWFPkeitc4=qot-3T|8<EcXKBc
z(Xv=#28STI2&~8J`Qzn;G~pb(>9)l7Vl!QEQ_~!HY~`9N&VbT12+MsBM@?3j(bSE8
zV*C_*Gf3V{$0AR-vYCzB_JhU@9-B8(_b4IFX)&(MhiwIr-B@U<t<75jT`__2UK)u1
zq%mF$q)r!JyDQde&xCW#{!<Ikb-+UR)aO~lJs7%NUT`)PO<J%P{lqC#zB{|)vPMfC
z;!3c9DP{Q}MdSTNIGIKXJw2WU7<w>TvM`YP3w!tdgEGKtFVXxUFL4!w!_b7Ss>f4b
zZMp6CJ6bQ(e>S-prmLjdl})R{rtbf>x>I#)c;2RctNHqF|Bi2-X*X5obP0N8E9jtl
z#%;^F?(b7uski$}dMSh~=7NaY*Vex9`m9rp_0B^i3c;#=`*FRd5!^+vXd0du?4mt@
zoUct{!Ce<(pZ!paa!#J`FF0SIaz3zD@k8*N+xcs)tEB{TJch$tFuvF%hRUVzb&DbY
zyBRp5GF*8Nw_m<g=ub)-(%h*arYZZl`9AABdiU9s6`tqi^;IQh<<2sK-mH&^ewS|Z
zqeyg_u)AE-X>+)JL4;#+(c8CYQnjF%!gj*u!-o(1*%_bf#jf8~<lTRXxz+RrZdcr&
zi3U_vAfc?bt}f^~^c3UsLfNJO{jLWvW<Ni_K5_Gs2Wz)U-yfw+6qILE2%1?Ud7m2c
z>p2etyUyyujIequ9T!Sqszo=Z=b+r<iwmmVY%G}Y=*jA`-1#pELq(0#iXku2FKiUv
z3Mjmp=`{|;aW(qwidVa@^+<PiCLqEk_)OpGG&2{reXf<FrIBDR{`KpzxLS~isn4WT
zq>SD1tZ3ZjY^n2s+K|jMK<NOUC@UwYDmiO}c4MM@daw^N+X|iO>gwv8O#7)AVpSpb
z-jC1Eg)ahN9SB1{v9{ACsNeGT_TCI&9oiMh%geKroE_g^%(yLb(a8;@ji9jj_;_M5
zVU(BQNCyx^MvP5N*l%SS&Yz3<G6_O%;It}dpI0BJo#tL@X|Z<&bhNmkFU9zAHm2TJ
z&UUya7TUf{$t6Pb1FgH{i>5ugauU(nxFnG1jhq(}#7*`Fz?{M{`o5HusFIb>Q~yP{
zw3VLYxThZ{CrxH!73tU@cB}KRkAym9^bE}<rN^RU)<Cwao@4Y$f7N*3XRAy>R@PH{
zhYZv(2@l>GzdkPn+A{*mWhd`dG^ToCD1|V1bVQ$iJuyQIYM7)2O^aSHXA?7#?M##r
zeprAT;`AVQW$6&(F<><qQb3Fbc&P9nyuze2Z>r6-CvT;Gid^{|`DJ?%t*tpRj52*y
zfv^F&(&5WC?Fz^iJKOkm9SS>aEs31|$(-=Qxi$%Lb8^r0dbF38XO&6bP;Bl<%r_lZ
z*ex-JxniyfI$3$wtb>X|b4xVWh`URo=vHa9-dF8%<#FeSvpqvE%f3=;&csj6hu!3u
zuX-}PZCTVk@O^v=-n6YFfW>Qd3e*a_`|cK9AF3zf#yor|MDWW3H!R^do7E#Xj;uu$
zI`OWblYl64I+jV^eU>T)RwT2Er;Uw`Mc(QorE~JBdi4Y3_0KML;Zly?>Vc2Wa71fC
z`Qz3tz^ZPA2Ev>WjFHpMhBVu4P2*c2^`ae+9{gLYDsQY?|3{tR{&?d-7PrK2=LNi6
z%VI0g@Y3LS-Q`^hgvy`I0%h~%k#RuUt%%DToPM^y((Zu!epMAnijccdke-JZjC?0A
zIhOG0Lr<#STMSio6%-Ui=s3s9RwC`n)U5i*h0x29v2wB`@zac{!n4|dBPDo#R8k~Z
z=$w@Y$p{h0*ORk^iLb`NI|fMxvdgS+*M+v9Ig3X}yrM_i`Wm|}IP~G(es!<YAI0s@
zFTC6#o1a?GJk_LyCLKgShk<tBwLtz@AyscHU~*9h5Z0vawV4DRLqIESe17c+j5G@@
zasd_=3$(y<uupfF2f)&;7moqHL#Z0LX4iHR#`9X-a&v|zRry~$b)#o19`hfwRQF$?
zS@Ta!E1h(J^sCfWGmR)n!g^y1{jhiDCq|3B3)0j~)|%Oz1JW|_kOSkCVw1l5QX?OI
zvA$<xA;GE(?$~`za(h(#L#uBw27N-R05N)L+`EmHuC5TKq!BLFJkF&<P%1Wn0EYm=
zwZyC=XuIPNce7*##OncUH#rPQwNdN;SsGgD%d6q*=N@4(Kuq35A}dY*s1f35H|FOW
zI)Km07un!;G+}%>#&h5EV*%Vd_-NuJCRgT}>)%RJZ7(XzUZ1M8Fh+u*c~hxie9PQv
zbTDMevCqBfNIZ*d%ShA#R=n_4NkFPmQZ`{dgl6zRPE5@nUsz?Kc+J6MXWAlYFVO9k
zBRyVVf@9Ysp{4-1`oq$bFMCWA`+9oTFPNHw0n7RD;a9lSw6@n`T#7+o;YT0g*cK;{
zr&!|snF3;%40PnDVuw8tDR(dSz66289A57j?pK_Xb3tO37ruCbnVA_|TjdChx$_U;
zR!@;LkW5j1qz`*qGyS((U^hTAKX%R}em5E#-`R`{S&X&#$*Jl!=j&Bt!g1h*?XWDp
zRodrb<Y|`-GF@V|=@A2<4-j7N%jHihn}N7tli+!)!mikC)3D|+iEeirfYLsg(zh<|
z|1pQY9Ln=PF87^maAzNd9b}4p=v}-JxbX%@UJYOG8rY2^t3$2C#0Nj>Y^5k_Zaa+S
zp(?YjaLGThfkPePy~vkk(iK;(djCd6n!0*)6e@9kF{P_EaPU0`Eh~&~G-RhevdY1W
zzMW>n#!=I>0P#I*g7Hq^s#yfHlD2u?zt3S&KL4D;cJ3ZIQj#CtUh&Nf<Gd_X(2El&
zYnAFMs`OfLsvI%(+IsIjvUU|qQhlVG9^c&R{kI@YfzL8GAUh9HC$(b?lEI3_T2XF`
z-+ZFP?_@McQ<&ym=y3|Q<#nk2P=LHtvCCVyI2ir5FGj8J-mbNdM`xpb3j!%Uq9<nX
zl0vsQxqdUF(3qIqPnKhE@@Jg%sx6jxSVk^o87JHl8JziL-gvd(VGL=Yrw}fjkgIYx
zuA*x&GLD}(n1MzaaOL>`*F~MUMj^!RN2&uSBviWxFE}k}j~%mF6y0_Y@(T&NRIrDd
zK$Z-U?aR{nY(Llr^kjf|2J%n4ytV-@13}FcD!$B5VWIdFP`fShm2Ye1Sj5&<G0*TI
zk3nD6YVks11#~?~I#as&p@UOhp~`!+Y?k{CAc#RA4b6x#@Dlnhe7u(Y+N#RWIdNvj
zG9aLuT|j+(#qMdxRh{dnFKZrn>K5<Mz8TL*rwBnPVNkjUUVk6>Z@*1OIsY#R1OK<m
z!GB-ye~=|<Z|+iS8iK;it6eozp5z&zqKA!AsvrNubS9dzhLsccdn}MIF+PIgfLrP>
z&J1?Muiu2p+%N8b5kh2peDyy>Ay)`e2v5u%oPFhfiE`G_t2firZ+{RIIxY5)C7`e@
zet)RO!4>A<*-&hs%WLb)KsuByZNB7CvP9f4KYC<U;jS&N86*L&fVH*FV)t43CN-=P
z{r-1Ovlf(bM$HEo(jH^~FEI5R!G-a4#dSB-_upC<d12z*3o5d#dgX=JqY(1*5s~X^
zc0pk6qy#j9A+&atNiqOh2S41b*Szzj3H-|eQ2}L^hNj=<`7wVaB#5S|9&IgUq4@j0
zRP3UGnVA`3WDx=0K&<m~L^T(^UN?s!Y6_8tfYOIcO`%D##uBq!ut35MkeSI7qy;M@
z$q5L#AW5tsNd97hw3X#vTni+Ecprh5^;?}(W^IXR=p+26;N&At{{T~7GljDj^$rj6
z`l^WYC0tiUP9G8HwEa+yHL|FdsU~{-19s#J_M%4*3*smob}8iViIwLg`W#zsQJR^N
zQqy{{uMea>Kotuy<^f>#Ltv1-(EHHYNq0r7?})GZI{s3iS`;^E6K!1L(4O>2l^H;x
zBk;xhc5UjEEJSUcq%Xo+rQn#&$b0dY@X?=I^GWsP&ZNP`n(0N8f~X~Il6RHTaN(UY
z;-1;dCR#o&*ml!H0KD`>n4C?U7P}9C2xe%qV{6pvscmpOGUgRuX7c;jIsH=p>zR@H
zGc9I$^TdH1Y<4_cBl<w@cT9u)x~kVZrh42?*BH%s>{vQ!q|UiFH@3!fUag)|%}ah^
z4pWa_FT;GqB(Oea`Csy&Uz3$TopmheG66{1c;od5GRf9Sf3_7-{$X=HQ&tLrxbp9`
zIP96d@bR~de3>`Z=DtNVzs`}p8y8bnBc8+jvdk^Xg5bDk>+M5Mef#cWkv{TD*A2U4
z#zQH$ziRuDomcjWu8;1-P0gotsg%FpebMx%2Z}1iy84u<d9BOSt}RnePHvIRk}e7m
zxMN9#m-SXJDZ6x+&)=Xce{_m7zkCKZ_vW&PLn#zoXl-AR>QI2|2;0Sf@qYjhC8;}w
z@4FMO<J>p@Ruw!2<i6eYTSFo0J79%LQ}U`+vd#-TsIi_Y7<fMbueeZCeCzu}D;ufu
z=-_TD7tGM<E>U2~=oNPVeJPfhOJqfJsg{cuBJ?kCb!{EW$eB;sYC(M>QL0HKRgXAy
z@J7nPd8>P4pb5COYX$s#u91Ib_J6U|*zurk@3`vjLTLi0osi$<nJfLFZpXNjmBrK%
zZwzx^b?vFzc1m>ig}-}iQke~EhBh}_Wx8}6^?3=^6%^d^W!-5gvDjZS#-xc|q#rIv
zB8A^cn>9UMWBIb1ZRfo|ZA)Q1yK8?IQja$?AlB8`4aT0phXX2wBvOvp4N7ux=+*U`
zyqs+5q9Ww=@p!Q?km%e9CUK`Hj5*TmJJ9$&x2bbbN$;1NNW7l>TeFzl`|RPiwd|O=
z_Hs8;@*&?Z;c-+$Z;jYNGl$9kTET81gHoAy2Y}B54C$xv46WO!Ewqlr1*s-0!P%!k
zmnxbK9_BQ9P!L}(pXM5H_3Bln7%eU9<buWTpmvf%Uxa2qf$H;9u;g&5zNY)dHw7tK
zF9|0<P+Y(W6FSXk?G(P9hG{`_udc2ZT9!O$na&tCI&=J2VY&C{?IxB`<|7Xt|I8%M
z#7!@D%i~0T`tgl!Daq702ZjMr;KN*Ov$M-LgRd4iPz|=h<L%_p)$7{4DBgYh<R$Ha
z!kx3^iNQ!xJQhdugShY)+{8zb`GTCo-i4+&wjga>R!dFE0bdd~b1#sZwkVp`Nr(h_
z<UNU4+e=MAu$fq66r{G{rHW)_w{i=w9?si7d6Vxvc<1Qw=kfI96E?<n;eOUY19yMc
zx_v$S<HzMy5?d9~)KrLYQ~x78yrsrDr?j+m2H9U<_7o)42s$-Y!AOzQj5<llx<bM*
zLr{b2lV7etPaWc6X=$kd0QwE1oSqsjsPtu>76x7+YIB=6r8r|&py!qFSqEEIQL3Mm
ztrxeOej3?t?~MO_PPL}|8d0^v`1we4q&S1toJGqJk{@P~{?oGVtWyDr{MI@$CJ5(>
z_;w$=G)cO(STpm~djvWDMlCP?PtMZa_sa&V&kT-8z+5@A{D8pH<T7XT329g{@mn$I
zW1f5#qlJ-;(NZ}(3l}rVf0!oYsQ1kRSt&KWlckeTCk6wgu@V6aY^Hrx_Ss<SJPWt7
zx@Qmg8IF8q9qqQ%6T%sy9R-N0=m&WP%D3B9pO#{pM-mH_3VMuQZY`h-;~R@W<>Ql8
zT!u@N1=$g<A<Ry<<?_)1o9$iD<FmLidQ5K!M}B<u-r7w#)OxWuph!qr1MRj+(Npqa
zUc-AUd*kso?Fsdz+XgUUiUPp>Bz46BcC0pOsrNy%FqE8Z3d-!K${*}y)JtAmbMZp9
zypHhE;$G1gp|%lw2v6k@2=*lC(+h|e&PV>-hJ;6^u=t9Ji2==wU(%@s$Rd`d8?fwd
z1RbT&<8~JxIf_!UZ9}y;ex)Pve=iysSzD)qnh1D=)C`<~YUu`t_4>};X5V{26dBIx
zyu{E@@Cj-1=(d;z1}R@YKiHBb%F3BlP*!n1tGUwq1N5%(^un#+PVp8aJZE6AU2>3G
zVEB7Bx_Hlmpw%C4iydaxm+cXBwgC3`5mFwPk8SW#N&+R4qb(By-^zTK2g-~(5JeUQ
zqf)1Pt?&>1Ww>nB6(&bIn}CLc#U&l%lyeiB`lF|`W^$`V9!c(Q*~0A&^q)u^S)hDE
zX{GOAbCpuBuFV1J)s@BoaOxxl2iMlCQN#-2lP~3A9$=e=dT~ZZMyKPVH4rVNG$SYe
zX7R2A+ac00Vtmb)^~}FsT|oN1Caz?3MoRWbs?FVY_0TA9-z7`{{*dTDg%x!VcT2R$
z{n;cRc+XlVy$%#J*7#awu)KFv3q7Fz<Do3@4zLO2A*F^Q)-wyk$HvAMJZM`FWH&%`
z*<p-yPdg<jnHeYmR__4w7vQ#YfDL{G73=B(KLbGV7?HE|Zwu_hffD<rtup;orH%8j
z!uc8*<RH+xR-vg=iXA8u+KDeFKRL<MWh*<=n3H_A$D{2qQdF6Kc8u%6dR*DncE>ik
z))F5*-`QR-&J}4l{iYSW%4@BfbDcF^MK8pl>US>UH_635>9g34LO%$v7UPcK|5$eA
z>eWv)E50h=jW56R?q)ClPK%FoEu6Q(Jk9@d>wm0w_qqJyPs;r@NPxK50EI6Ctz?+f
zlX(qSe~^w-j*898T~ph?d}m}p8Ff+P465WMW2De47d`5#XP#aVr#LS6;B&8JSY_JI
zoR1omel;#V_t%Gep4Z(!5#D&(OMQ+0i4w^$w<q?o=$whp+EVHisN`0<wG@aI>m~cu
z+iZE|AySbY)$xpHi7C5SZq-oTyoJ)q&$Oj^n)YouiTF?()d*Ic|KQus%K`p^#LIWH
z??qI4+;F&VF9?O9!H=xG&>Z9FagARp_`4cCJ3Bia)gCi-%Fo<|+*Q9FRbjLOJ54GM
zzQ&6QEG+GT5xj<4lSyp5Fi$9$|G6EcmVWR!d`0H$vw2VymmH$d%*jfzL0Chz;_tgd
zVW%3dTYusKnHmSysb}M&M6s};Xjxg=VVZT*cG*I+;&JJ*l8jC9KUX`ACw&m}75wu{
z&H~r6Hl>MBm|>#ySp1*%Vx;XsLgCNb_Fqw^f6mZf<EV=MTmX%~Kx1=wfv6E(?coK+
z@0tE}W8MG0@jo{HKgATH+NxB)2X&|Gga%T+sURyYRMxQbPCHXp+EdI*%O6K5Yw%y%
z<uIl0)=_13!iXvf-3;ovJ?Esw9eVNmng3T#1D+dVm<Z(cI4&876fO-#nm05qN9L53
zmFr6Z%D?GfQIwb0I_%kfE1N1kT&jaA?MUHQhf-Txup#IDXp>pl!|w~66P0%1OVs>y
z5^XbU^$P{A5(&s-%Z_8w0cr=gML90~X_%8$a<rH)*xU1q66HcQ7<5oRknWJc5RcM<
zg$7UuI}|7Z>ShL-nwkQ_S7xM|>_VLIA$VF)(H1rNxH=HYWtX6l;f~0-T@|!8-L6cN
zO`QN##sG}tP-7UdN&QQypcePT`O<awRu#$zq^4!SWERJ#;k!CII><9^iLoQKejfIY
zjx%S^K5O+)>mD8sV0S;~?vrs_@l1NBqXvUa$iWc@YEznw-OB?mn-|Yeateri%gVy@
z>77L80P&_@>8do7%slcbte4<~{4mXlq(fhe&_7jp{TkRT$q^z7?lq%NJDz(d55kDY
z;m2RRc#$yJ*V}6k!iXgG&xM7QdSG2<2oN`uLp&Z=51+uFsJ3!*Q%kocx_+pqEd&`K
zF;8W0@#O(a1kQ^CjXn-+(Dyf|B-7biFR+_$G1GJ4aOO8<90f8a*c^FsnH2)8bpZK0
zq@#MJiHG%!dDd=op?hUALqOIqC579zXP+^A`~LmJnWItH7<8^NB*=k4rTFt$%wc2^
zGQ)$~z@3`$)|*IVw1t2T{c(+|no5OZ&p*31CN!`6&MS?5AWd=J55Gx01QM!iyjMW|
z*v<RlyUm=PTnlnqe_CXi@Y3Yny@T<fDUkaSGBq(t<FMP~{3!F0-%J|R3EFx|<{j5~
zV;$gUi{Nu89dNuK4x#r^2UTACWRT_PRFIcXW41!KPHobIEv{)m?lv|1c=r<tzXjUy
z8Pu1$>8zdWE41F#vEfpTs`<=1_ugJfxyj$`!W~OnT;~u0{ON%Oxd1VuRB&%-&B;qR
zUUzZbI(T^r-WQ}?u%8sXk~;EUZOhnV1Sa_XvR4zyX+Lr0?#+43!RVeY<xLsHT-%zY
z6?W6eX=AIqpp*32$5My#2akO>?8w%3Ih?*WR?&W|BV9dslr!prQ~0eil#kFAhI=|-
z_&21Q6nv0NzGJ_55Vb4%z*l#NyygjBr-$?+q)ytokO~@FVugLm%F1ecd=fxyhdRJ!
zfg<is5(&HP%f1Xh7QnnYg#xA!3%Mg^T4+V{3?OxxYYgdB4pey*7-$YQ7<ao%NIwIJ
z{!!776y<YgnT9n7zuT9@qI!Z39(2!Xi54?0pxr`G%?X{0Fp{d~ktkP}*|W}Ad3Wxa
zD0(Ihb1p2n^V_fE=ulkL;+wNogV&QFLSUOFTUQh3f!wp@`sW%y#=t_U_R(#mrmf7W
zd-P4a!~8Xdn*dsqX_nhbGtZ8{-y}E!4WrMoDr*J_aCjA~uVd##Z*TAAyFr$gLunAe
zo)38KYR@FM*V%W!zZGSA=T2{VWhK$b(o#7O)Gx4+SunRntT;6KReIJmMgKO7@O%B$
zs-nRDd<)G9qhdMsP1;eFyVsoPE9KY;G&u#vZ55U6G~U{I>N%%1GD_Kgxmu82!=77T
z_+)KnI9PF7Y3ZCF%1g9@U5Th&a$HjsPHT2FeAcx{s;Rl@u?j3p>O1wQ@U=(rvy&~c
z9zaKu%r`5hehV2k1lkv$T`iAd=zTnohHq`vlP#3m&Tzr6)wEA-8DL^*>gcp~hC~&b
zmrhsvtxewn(~#wC3KrnGP%3swo4x0t82eaKa<V!@fX|0Mzu`yCfo>oEo_%@lpIU$!
z%ssos@0O_9EKW=9*0>1$5lSg$Y}ee<n=I1+&R+%=WLQ?o{h>8m<pb5~owA)FGvs<Z
zo`~s9H)b3lOy2??`e?mGERuP-xojs^d#Y31vT$$kbF8FxUcKFG8w1vqB$Hsn9IL&B
z(j{A;L8ogrK;WlIyzTSE%iDX@HemZYV7JFqiNPz490DSB!yM>cl#-GXNrGRwu2St9
zLnxcAjl!GDz$dL3hhsWtijKTd@|sJ#BLD1TU0yp{P-ie?2#h}Kd;P;z=2Z7Xx>_UH
zT<d}iUf#i^$cD_ceEj1UnD7pp0l`h-Ttye^0*?Fz>CV;<hV(PFNvd(WDg&qLh9v3=
zsek(g+~g*;ql0v!5q4+kX1J7v%Rf*ky^F=S6i<)ZMY&!%wcHOGdc$}&g(kY)AvkdS
zr7(&98K~uKdv_zuMnJ>N#AR)xa1#t=>e*+V)BvIGb%MV*(16YGdIdQ-+s+I>M8-0J
zC_wy1tOAQmELe5y!e_)mwRqNinksVB=nBZFx6LY5_^ym=k1gv8$$Yr;=`gMey_cmK
zWpbBuzwCbZ75RN`M#fnIjjD^!+%@Er0~Hfm*+48;1|f+LKOa&aE3Ch7v*khA4G#-n
zaUT1qk+J+xA|Xs%Tzu$$_yMDf#A!z1OZZpAuV25Ggn+H{1FP+%=CCPFwPOK=H8uWA
zlwQ4H=INlX08``u+NhK8Cn(EyV7QjksM^Hp>L7}cH*~txqPqi47A_ATn(=D*a<mvl
zS!!ut+GA04>PWdPOxa!Tt)2m@^gT$!)l0xjk6N*MQb$p9RF;=7)&pUNewXLt`}fnw
z$M$rEJigX=&D*T}-39{A6z2q3{rcqO<>hG*ky8A%{u^@~M%DKZ$9ux?#;d^8JHrR6
z%cZAx`Pjh1RZky8T=P{UA}@@9##6i7KjN7)+qxa_&{AOh6`Pm@jRcP~@sBMh@bs|9
zF+|9c*ou|0jnJNta64NqLX;GodO!Wo72F3UP#^#7YEFYw4bKippwDUs!<AY6*@spz
zJh*~3w>Fr28CP7q$3))XegXzZfMW~$uS=Th1!CeV1C~TK((gSfTGjnz7WCp87rd-q
zS-BQmy9D70@i1C2Ivm`dP}x&k?f49QI_ef)0kwI0_t4%@uh?nE(IV;@n)wh(8p{y6
zv1I5ygl+Plb_i9lqI;}xxd~emB6VBs<DD{E(jTy})ogVt0U^JB6McI2PO{0$%oay5
zsV=p*)zADc)w0K!)LX79nqQ2UkSO@<WnwBSn8uC9B1Ced+uL+34F43*KE^#37-%)*
z-o(>U&O9T-gue<c_cVp*vp4%yDUzuDI|V~!OoEB25;9>P+ceAPmZ_JKW10A}pbnlE
zA4D6b`pFhAdXUpvG-UWpM=9nh;3aKj?1Dcru0z8kXXb3g^_xO25*xfw828PRb!(6E
zdE7-9#9v`Zoo4RK_~yO4YTpJHarjL?Hr(E@OiD8I9xLq1z{q^qP<BWZjSgMa>x&;1
z+*vQ-qE@h#BbEK$+Lc=~9F;t%2`!Drm~e#@I8TS;FK_g6X*T)Q&~At&%C3Ju=>?_D
zd?-J>bH#xbm7a*3tz<=Yd4k8y)e#;UC%Re=gYhy8G&DZcgJ^_2zN|pOyc+tC%<FnQ
zqM=Ub22NG6RHaPntvaG$co<$1Wf#IqrM}?Z5eUurp&mO7+t)#}6$cI^K9Ga6xy!)%
z{dihLJ4DBH$4-vXL-SmUNZCcW5Otb_nEc2<?!U-oIF_oo$&OzU_y=gns_2+2es#RF
zfe%sDC*RW<eLtOpY6DLLJ?jQNnl^*p<0dmN+r6zA@@wGAQ>UkahZP-!P9_P6Mm`d8
zzwwBF9!9;%9Jnr%vNZYzCNox`Q!M#ss^nlT#ys%#KFS2`lPHqT$=blzqt_}5<Kv%G
zHC4qy7iy^#xqtrL91X+!z&_*hQ0dgjjqaHXjh6%cQBv4J8{Nmd!3pf>RXUFl<&X)O
zNz=aHn~8|^LAqToYFYNmv<k>Ps`7NR5?lXMXgJAD#BO88v5}mP^4a*gRD?f)x5mR^
zYUxHhKOLb&oI!#E^C4MuD)U4?dyCt)e^f6plpxIcDiJ^1*e77W3n|0;quDBukRqP9
zoxuWQ<WFU|V`dfs<du7yQrvy=C#~h&@2!&-hK{{43Lqc#XAK*AwM3PoYiL)gkVzil
zIq?r2jenX4qplwHtS=9mxwjeYTiNHc*)4${Cb2Fz1r3g9mE8BbRG7WBQ)3-uGi=K0
zQCn8zdPy{ddrY`??{*1^RY$qF-|gT;WOqWJ50cy$H0V{t7H~ztRdW}saL(!V!{|SA
zP_vbWT-z6TW6pi8u+JMgvT><bH!4tsgyr8W*H<Txs68uQ;v6I2e6>5Gl@`)F)KI&_
zBe@9Y`C<bV<lf}IK9t64pwn8{NIt)AJC}hJsbj^dySSFsBhO1GJ=Hr8!#TzTTuqyt
zdiV8DtmwME&hGp^2dO9T8a=b_<Fj{L`ePk`oqYcmJvX@Tygp?A%1P2FRm!cCYV}&H
z@P04x4XB*&O&!y_s&Ptn8Br4yE5&?g@ZEyc(WDTXck9n?KX>JRUi^nRV1D>kRS_8$
zI>t15_nD^l6quIx7si9m2ZlzFBevWt*Sf1J_IVk2jROLql0}@Pf{};*WmUn<FtZWU
zZ$mgY(nO|GrUBZUd9*=G?XSAe)>@40>P@XTA`fq09KAS$D?CY$m9FZdc2at^Z%U}E
zud-Eb+wZQe*jKyeTV2+0ZJm$Q@xYzcl;>go{&4T2S1@b1^1Gq=eQl|Qk6lc@+31V)
zh0q+=;^X}}ikdGbIY`#{Kxn;U-|ct8t%v+hW58@!phrL15f!kq!3qn$H+iLFY2sH%
zZS9-KEthunCI;!&xTtGy4=>#$4iFU#x%1TZA(d>l!O5eolE&0T@j4qAF=U-Zyj^l`
z7B2x67(R;^MGtZpSGm#!>6c9I(V_8M;isDq1GRs5`I8L<O5wYY(B@e*)4VD^T}zuu
zcX2aFux0JNGioZ_<++njYsdjjz={6qA+x0;Zle1EeC~@3O}~zx$5wm_dJ#-(@oMP+
zJ$cVDqpF=QNVDYrwhy_@>!Tg><ofvj5p+p$DYkv;47xG5===rZ^2)tPgU29jEs2pj
zAr`w%eJm;F0p$Il!NWDusfw=(`)h|CtyIBxg~#2b(z}x?lzm9x>d9wr6H~O|u28XS
z39&~qocvBJax1d>)(x4})8uNg8%x}MQ0{Tl-}Nb(X$Tejsz@JN-Ccisn4dP1K2p3R
zTk<I%{EQF!$lxOW-S{tSkLrX3_>ub5$-!2`B&wyMuwCqqYkXCGRj}o&37tPai@Ol5
z!aAq&HU`??hR(NGtTx;@ijL1*Lmg0)&K~8gL_do(g#^<tTqUxq@I=zXOt3+jilN@<
zJ6Hjc4%LWNs`J$q838ZgS|(riIX-6iibvq9@$gyoVZJ#t8grxCv|y@2;iE4rse+HF
zT`h6;BOl)#&M?OGoA!kc^_`lnncwMq@%5jfGW6Rqcr@Ssys<z%b=}6U9P5hjdo^^0
z5n8!)aPPP)lDjQnw<HAm*It4FF9O;pAJ@4Ygf2N1csVseM<o0~{(haZwS3Hx8Jgbx
z#R~;XqaU<AXc4BW(PaAX-b?&5hpZF*LZltFW!gyIqWh^3tpYaSUOrswF=w@9#&9W^
z7mZky7oG>XE`Yj*x`V#}EmxqkP&<_7U~|`!<a})*?9}zbekVs4p>nGHA|%%PyZ9|A
zoy3QWhhq$`67!`hq_bfiCKMbz)iNP@M|jb@E4FC=6K3DlL{AoO1z+5_Zd})8^=W8I
zV(b=_)euSZQJ{rm<HVTWSg`@;KQKfn1%w5xiox)o&<2HNo>@G}{7<{3?*E$<=&UHn
zUHH>`bT*Jz;8i!h+qr)l<fIs~u#5USKHt5osCN2adY~**!%<&#*ishXj*`UTwcNDe
zy#x4P&4-EwEECUGdHAsZNk7cuS`K0|Q+c)c&xIpQ*>nh730lz*!OR|;KOdQBE3U7*
ze@~a4n$)imFg<9bHg^BUqC1Edp<h>z|GDOrjj#CGG~+pQri&_ub6i@u3wORGQI%ZL
zdD(P0jWH#rxu~s(Mlzoux9wqDzK&{X%kF(>-i~i1vt3zmtbK~AZcLxQd8zKuOt&7M
zKkC~#Hg&slX5~{AYt@4z|2TfvGkG*>E1*JhWx3p~S$S7cn7Wgyl1hQ*`HAqu1sZm0
zP>Xu>;OENP4XBvEB>&Yz2#UsB<%Z#hy6x9(O0FKZM3zySMuDp=it0ePasQt&B5MJ6
zDym|=uz4tLQGADLsWWVM<bMK~0CZ9hq4cx=0kO~=RwuOwuBY5ZmK^~g{0q8#sQE%8
zC}_5b+I-An?8&&ds=M+>w!Z>XeB53E9Q1qaygiGk)Tk~Vu{l=DFwB$>S;e2nrL1u-
zJKq&XH^!fgcEclCZVycK$ACHZj|(J;s8R2IY%acl$A%60pv<orMai?(N+V+pnSCYC
znSVM|nP=lSr>ESvPT`9}A{x{4Pz@oh5#%!C4ls`Mh6{)Bgd3qJLOP)N6%@5)1KF>v
zf<1lhfVX4^U+eYyZ%*|d{aByLwQcn+6*E)QgzDM%$$B(uTy`lmDo3s2+a2ob08_q&
z^8#Aoy8)>tL^CImR)xvxP3KJTfaQ>t#1=c6zK0LpIU~S5c;}C+<}fW74;M+!UX(3-
z02In%6Oq#;&<$<>k^A8pGnfBUnJ}#sY+$qoUn+$IbaMxM&C(K63Zs>ck<nUAnk$E-
zjn&aTp{8Gg4c5P(gn5)#T%{fbwMA>Xd@dMUl(zpGmkR1LY&ms@rl+S%H5i1ceK;7O
zKL<igz=!wm9W=vN!tm-qAPj{R&!@P^BTd4kertr_>x9@)SdZ%AKEU_P!T0V=j7ve}
zUHaYC@cHJY654Cre<oAewe3?MUrgR}P7cY!FNGwBU{T^($w^;(9~O?K((!7pJ`ZGt
z#r&MjR2+>4Ul_nn=N2F5z;M>;$hU!k%fVA$<5{UehU=b(TDm&@uVe1FB@&W{CVGHm
zIL|*x-ACPxz-<t$YgqnGF7%<uh39KT{#bVL%Q^RREvciGY+LFOw=+irOlgY51{RE8
zYn~q)p{Zi**IvCr7H>&dGeHMGH)C9oW1NV5MG>+fcZHUl!3Gf5pDW%+>I?%?c|H^!
z*EsU?=TC-ZL*H82XYS^p&^6+Mp5>ppqx_zF89vsIXBvyZbKwPG?66VVTHJ$DqXC%m
zm@1PmuVO*Eyf94^m4_ieQtN)Wdi&Jl&gsY196${P>Oil62;uYMtQX|$vpnQ{_HB`2
zlK?;6sLDc`$Xu|ga#jX#)T1uRU^Bc21Qd@7yp$pd*r_=F&GBc#U>=vU0m^luWn}FC
zV(-19ntZ!$QLurcU;#m@NKsIFlP+Q*RHaHsX<{hSd$FQa30(wKLMQYdLXjUJH5y8U
z&=et3Lg)bk<UA4m_CEWJamU{0{&(+}Ka@d9-uHQ*vesO4%}Kn>O)>3sfS1QRoEXn<
z=F#9b-k@KCz+i{cB8lkpTi9^o0XkYNO@&6|=j<=RZG>gs=Tmad-<Glg@u|Tc==-6)
zP^bO?mg#o?6TmW3Cb%Zs|322jvsb8D#c4zSlImuVzza2_#y39qT%>&7diTm;cWePz
z`7q@BD-JV}5AYS=g@jZF(T16~1B=aDb2%4%CssUW1M;sJeX5kE^lW<0Cml4FVVXO2
z3d2ZPkI&)Wdchp(7Ua9yPp2~IB%_$v6gpy`tQWNS7HZbv(R1>XC(xd2^0?A5@M^b!
z8Z~b98%ps->w!2X_aO33g1sNdmsM4>G)Tm)rYHQH!5p0{t32?l;k2OPh>C6;HOST7
z)dJ|z(8$P07f@xB`-iQG$2N$nRz(b}xf5h#Mt}cNR2-YFr`s+Nh^WiT&OQv2WE7*a
z-lV{D3_p+zo~j#dZ1~B(KK!aGZC+kp?df|}0E>{h20D^dq@FLGgMA6~25%@2n#Wz(
zXJj(CY?WNE;$v>`#tYas7fNESs#c-u^b@*;O{fag7~A>8Ow-{mrtp*c^CiOOEoUj^
z#gcOJb_JLnDch0=h?BQK;y_UZWRUmy9Kg~<%%9Mfv_BIXUNGt3q2#yF^Nt>6TS`h!
zN1`@VL)a6*-dim2({ZWmaShT3WRKjFyHW1VxG!Ipq8C-MSS&a`#H<=NQvk{bbOl4>
zyQdjD@vFWE#SSBRpXa02v0!A@&ow@HJq}=x#e?I+tA3!I!I&}uDvKAd>FD&TcCd+k
zcBpV020-c*Kv2C21Of?QRDA^{CBCznzh^9F^RXmE{!3!>Gk)Ld+cuI*0h71ee4yf!
zgXh6%?86e;2tDaS6kD7~`mxCeNGULCKeX0$dh2M3##6N%=btb6xgRFdqS9Gy_mRse
zD$EKV#x%b9Hs~!|9R=O^!VjWY!DFxl@KY;IB&*oobpwO`!@a$|Jp4jV68zw@c#8A#
zQe>%ctXJj44gCUjVRM5_mq+|t;RS|8Zn%JBOWFGXBqEJ68y%msD~s66AS`U2P~o~~
zUo3xCcBKn1ejH~#Qq$XFWXw+I>WbSy_-f~Cy6~c(aUmuSjHgq9N+qtTcfr@$`f&tB
z1%(lS&YtKJZNAxt5aZBTCT6o!z~NKTwrjKal_*?aqdtaw*J*c5;+AA;j}}SW%gbvt
zz1M*@CO7$w;Pc1#%8n4dpPi%Lss3b4kV>dP^FY1<=}<ZE^L0y?q${SFjP7YyCSJ~7
z@dM+&jjQRgjO*{Dor{!5wvP)3rfyWvfKG!6a8(^wP!H~98^gJJ`M6y4;5&g?0*FSq
z{_OJ@=}>D<)I!8q$40xQlb7?t!%)F#RVi7fQO%L%-N#eyf!K7Px4yG;9<Y@h21t2M
zt43FdEUnxD6I!iV%A%i>Vk$GaKEHM%^rQ=E(OtKb#RL;_`h2^eBX)VVKUejdzN%ly
za?3-U5c9FjBS5NU>q$FxVVu4y72o;p*g+Lj!FIOY(4hSTYdI^P|MTvFB}Nzv%G8Eu
zl7A8plDEafhu&lHH=KTeP?r$UH9-x6X)KwtHjPvX`ZeI-Z3Sob9+8TUqSNF`4!p0f
zmZf(3s}~j&gfKLmtyRoKH!&{_0sQdgNfm}WckeE%MxGUUYpLY+2+Uv;0RGZ4QE}6k
zd+o&tL^|{Jd+fGKZa@ho)|)Hyzk{T9KariZY*v_zR^Dc62ASO?Gwk|T)d$B}j=ccn
zEjRGrZE!6ko^=+^PENC66ntS<A}8(uHB(MyW2`Qao`JDV4L08gr~20){{I20t|{f_
z{%@daGI->SL1#BDyuH`Q!9q;^U95A4y17vx0VaQfK&J)(+5|s=htM~dH52%G7g797
zSLQD*P8c|Qo?fzum}0sF>U|n3HZ{aIO1}_Xek#vP!DO3B5Hi>>ulJh0JZDcGtG;wa
z(irb^sVDQ0q<+=^OeSy}{V!w!dn@Z0i4gD}mO$N4YH5aTs-@7RB*gt6*1zO{QO#9e
zC=ED|=|X5Zbx)t?8OZA8YM$k%UAh;!6%?Xe8q%DkObs(MG9D@YyvP9>tVY$#pVp!M
z5&s9zKvQw@a4m!1na*be<1`DmPrIrd7(J>qM9TjY*uq=bqr+;t&$Q|ME7HXj{S65r
z?CQ3smK@q2a_+|rkhgbkUG@vU+<CAy<B&q6`I#lY$<KG$|CPifR3036YIb|V5f)1u
z=pE>$H`xksRaF`(eeOTO08B7Jnx{PJaPiDEOZ|yvblB}M`UScMo~!5l=$39zx?H>c
zuTU3$ln>-_DE{xR43O6^n>PF?V$EVt)Wg=B)1HuMRdw7M|6cKZfD(%W1<{Vntz(Oe
zw2vT~@<E(`z$p09%NT!FyFKK<Dw{@FG$^7Eq=9|DhLzOBaRUbpc*nQDnvVV&A%!eG
zf|X~&Uh?*a7b%;M)-Zl_35@mp8||wnI5gvo9(^}@_7G{{PKo@R)xzLM1$s}Pm^id|
zcvJfEIE@SC=&wVKV0YfXJYgyH5VyAl{r5F}wC(w_lX8n2g{tY+bN(92U_V!3;5@MN
z8m`@%{KQ3hM4NVx<toQj=7*Z@`-_}EG3_%L%)|ipgGYIl4uCj6Jl>(1Y;>N%f?=oW
z$3|1L^%MFA?i3SeB=gn6%*H+)_diJ)Oj;DYea1n<jjKM+?(?$=wA=qdEujSiW_6?d
z>0eTb^pXE9$cIUXY3E=3%Ohat{)_8Dgbe`t_RER=F^xC_eRF*C!RDd6od0_IQU4j)
zqU}5K_SSvpzw<^MBl`6*+tStGa3sy2Snog0h=bH{EKGCqlnrmGfqT?(@iTs`k9po4
zE~d@Nz51_Q@6vv#LQ_K<PE#1h`sCiI?7=3wahlO<r#Ca={*E_H`UAMT#*$jqgAWP0
zmWq!Zme<J!oPSeFF#mo(ecuxw3A=5(IQ_pr8TqPwq;maR#^Df#9c9Rtfzy}YXHPHy
zCT!h_tj7CK^9<xLL~tk=$KogVSl}^(c>eD=7Nmjy+SOzB=Zkb)56yM=G;I&xoqkXk
zs?fSBmY51Y+M0zl!SQ~ACJ5Q_2bRFx!0d`{%1(+khexVX#=hy@o)!iZ-vcH#^<Q8L
zCUf%Le<3^53mZQ|CSZNn?XxemHCj>e3c479t?OsQ=px9^zNsuJAN3P$Ti(w#;2s<8
zKlWy*zbybNE;J_b14ru+<`lZPqEQ0-JmchJSmGZ75#~nn;qg!1zDR5RPjz|Jib74d
zWpkPaH+<uWjVf&Acr1<Yf!OFzDf<JWFF&m9fen1gKS}VAE&a$ZrEf|FSx)91+Cyxv
z{%c#oY?M3mEF9Q5n`xTOt66cQHTTJ?!GhlYd$5-{ycu23p!GS@NYg-9`*N+j;1Q?R
zYPW~AJCFX~N)3DLv9{ntRy1>AnKYncnDkIrSRG6VRk1~1y|O>mNT-jR%wHITSX0b?
z)a7Y|X%NEt?UsJQpClgh#aXa(DCZ!>@Xt?O4=^4E;;8i6T4iqg6V>U$rYNLugV-!8
zkP+E+4V1cq6MuGwVh^w~*UUe`JwfoV-w5#hk954tl;iQ)C5B0@=8Ia2T!dd>%Aje5
z134ATYu7vea<<O2Sv`B`Y2+S%1neMzr#g=Tgh-#o9QQDA>Au;}g!cRx$)K#mwPEgE
zZ0=A-pYB_?+SH^pw=CP%{^vplDM6o~Xa{!0+4)X*|J?nZhD&SyU9RwCrPZy-8r75J
zf^Dg&4T+V}Y>H0D867d6N6=jV-CpUErc{&Qxh%s4Dd>&W-}DZrN-!>(Flk|75-vRd
zcF%o`T8VvsY$z=kSAG@I@8j#3i*HlBezo){$=r4rF?`_oWP{9Y(?4xe=07;NP`-JP
z?``bwDW25^Zcv(^pyxWdr4{nI7#|!_YkxV-#8RhY3W&*(t~d-dq(z{t(zjEPK|fl>
zP>iYCnR*0HUGjA(2aVLYa%Rt(Q>Q$OsUTN?I7`WRdM(2LpTE}_B|V8aG=7kiZsCM9
zE%eFYwRw7S5<lV9gXh<u45hi+b`ytCUbTb|xBV7zTHgp#_&2Gh>mKAj-Hg2jlOtoh
zu9=F-JqbcWy0xK+6(m9J0=sz`iq@bILwp&-;Suhj=P|h%ALdYlwz8}c%&&+S2M{&m
zYO9$XvkynE`P5jZ`Yhm5cXH%TN~RKUj9KH`ceVjcrP&SeqT%Ls{uWnX3cb<^&cjOL
zPxk~MilqpwMRy;M;xkCe7*kkv;G!cKudg0cBHD_J-v}J6#{^QoPd<kvF7RJw*!jx^
z*cNkK{o!W3>^z3GQpiY^NKYRRm5iTQdwIG~7nYFpZM<)FqA3XZcAg82a9d$gS${&O
zw#wQhVT7p)ToAQRsoDMb;P^4Hb6AbV$as_enQW9xFMg3-7>2-n?n&vIHNy{DuVT>g
zjLInyDAGql%k63=zY5ch%`QhR@z$2h4YjF#xtU{&_eO`b$^B?a`CIfKZb-%RXWOrq
zm<Y;XnN-3G49>#FoCM1%;;YF#7qm0hA~w_!H7Wz(wqY2_(Xg7g{5>Kx7ikN_bk84b
zIP>`+lBTLz@3x8#1QU}3op$w23?!(L<Mk44WLvRYJrzp6olL1KGp*mI&+uH33N~AL
zQ$@!!^MZ%+^wVlu%2s2%rm_x%-K4!fBk+4$Z{?_m;;^N4n=VfPMQi%>^_z#|t$pv5
z;E(5Lkj3{O2^awq3yDYYs3(#+Os07P)b3{4mNYT71Lh(v8e*3%eV5o9dgVrsUmFZ8
zJj&9^6ZzpnH~bls&75M49j<;pPr;w}zW#JdF9g<(k|@TH`%u)ctz7H<n)gC+gu33=
z9cyWcr`mSiw*5lw-6=!&H^d<9dOnlv4KI4lBTKB#={Bt;uf;Hm1HrU`Xd`7(OwP|m
zSVS->XF3TtyiHa;UE`9qB14wkt+mbn<~USJ=8mL}-nJANz4?|$=G%TvpmIs%Ze6g3
zNn0&U%J^L-W$JW`)Ku7SJ#u*Gr*wbL@DlUG&`pWzVq}cCz2yD5Z-`4t@Yi-lb9JoM
zt_NXA*=ozxCNVBI)T)&ku^~A%G*sAtQPC@$0FJ$U)z%Y!$Rzo7lZb*sK|mhmTlrzs
z{jhF5=4beiW5v0us{%BFJOSd0>86Sc8wTSZSItZI4))Hw<$w*Ogbg`|sxwitbIAis
zbKMnuVz^K|?L*YGkJY-K<6W?Co#Z3L%9YKAo0M-A*lYW@@{0GY9LpMO0&LdMmq5K7
zChc?Vg~|9^+`8w&bkZ1aB~!fc@Opz@8DXU9i^r<<Y>*G%{W)equ2R*0JeN+}cwlsp
z3Jh*V9m<75AKLeiz8(;^LIt`nU7KzUl$sjrD69Kk!)!IG?SM~z=|gKf(8M3@drp#x
z<<-^`^CaW2TrFj~d^x@oei!>m!s9*XM`$XeA2agl|A8c3UrBH?zCq(JuJ<oWPl7&j
zc@W7M0gm515E8=;;N+?44wvnYPt>wyb8GX9t)RVRR22ZF+-UcXbN)srw-UjokvAGx
zqT&{x?*GWuu>GC?wos4KZo*wCkD$(jZTAjIlq0Gm0Zh?sn?uwGio59l6?bgphb4Pi
zQ&U+&Z777DXtiDlHKDnzsmzpb5iLFG0{NgLM!BKt<61wP6Whi%p{+X254w*l0IYSQ
z`Slnh54{Dz{<fIvEEY=vQ{y4Y6Ie^sY5^joT>EAn&|-TB6h*zyKlTKPS`=U!@_4%;
z0iUG{;1v@9tf_p^cI-FWnU6d*G>P~YDE4VU$l0p#ZMv$L!mwpLOASFsugtzz2JBRJ
zz6B%qsawn(`Z<W)Ryr>dzkdC?jAEM_=6z0FA1tn`+bTNw>2>qii|hBlQ(4mm`T41*
zY<Dg!#WoK%^Lm-*zw32CM@Tr}`_jqLzj-0PfY)XgwX6zs%0n!ajx_&fxugJ*&YM}@
z2oMQiZm>w6^Vx28a^7yy`?k4GZ2YmCuCml<Qq;($iCX`@22!?!r0+)>E*ktutZ{k>
z@;E2K_&V1T)W-IGK;0^#b+fdz%qc5dz7Pgjo?C^+h!L7EpxNi#)r-m9T(q2V-P1EO
zt6S@1y1V9+^^0nvkN?stZTPMMuBuMd@~4xZ%&B>!%CTfBrmy1{Z&ksA%pf1FE;7B1
zLy^=4Tfv^%y>@0?tt}(4VdXjRkU5VB1zf$*IoD>S<e+H+0D5%5J3R-yJyWzQB`EVS
z%C%v+{UDW6s_OFsId)_6a<f|)XK5pTYwX3z2T^e`F)=h^gX@;ZEQY>(c|7$>^da4n
z+r=yOOh10=qt)48-=o*N8)})K%L~EO8b<^y(hQIJ+U82>av9>j518|4Qa|1)^^E{K
zm@JNfy0vqBvxy3z6(A738~r=`&}m==fKHPjt~Cld9p+eCN=b3CXn$3NT)Q8CsSBVC
zp{G~<0g*}dzycGea{1*EiP1Wo72T;6E0C%1RhA8$*{?vb7acvfR86IaDaite+~n-%
zIo{{u$jz0;@o}_61^S<#akc+F5+@ZCjs6)BV21P|2-{e_4Q6bAfmW5M;^JW{TB&yP
z!Q6#ni**PjJKOo8g>n~k?qIs1WUkJ{dRM45a$}`(8@bk&D=6n}mZ~xBa!U|-`)#O$
z(!kfZTVH1!F>|`YsZ+VVMaaj55lXUgsOm($J0{(wmr4TdX(CkP`ZKMOKH43}c}HbH
zhmgFjLLOW~?)!o9n~`U^j4m<v0eWpQl|A)-13-Hcw;n{H_ITO=Ur^D^%#6mtN3{{q
zq8tGL&2(54Yz-3!xS4q0rGrAo0f3me3zR+r_&hZ14&ZY-(0`X|zGCwqsAiwc%aei~
zY`Khh3#X3^ymnNkW<qe8NB*T|xIS8K<oiEtOX%aXEC)WE&eJYYbsD|YHqoD(V51GO
zb-sSMfy!P3*AQ~TViZgkv`ydaF&}k$)LuB1*ETOTidjVg^^{S%h6?;LKn6L*n-B;W
zy)XbmgvLl%0s7oTxl?~m2Y^`SMsPS{KEQB{tgR^#A#@V>i5DlidFK52jKZ31p9bej
z?>S%gQsKHz<yWHE6qydiP$`#&vId*#^xxwux1q1g*!_&Cl*KQnY_;gWCp)dzB-YX`
zW&B14UtGuc@;=A)&$($`*%2wVrv4u0s44@mSJZS00B>HGaq8(iY3GR-1H|rnn2<qE
zkZUQRlX8m{Pb$B!A=ySDS*#g_#YKlGyYfq4!9Jk`=;;j+Y*TH#&pnfY#D{qEkG9Ar
zAi(UU=IOag_k^}vV@(?HDI>!JblGFJ)>()G+C{{K_DsiPTqMvbNPOnB?%RX8tP%xa
z;3r1rnUqDx@$^Ey-_%KWsUr=-o+AIS0_=F|m%Rxm$8kRy#v-@jl|srrzm=Q&e>x{I
zIe2wx&@pp&v%X)KW95P<g#GgkhAEZ9+HOux!?14Dj@LLqp|r8{7NXcAUjXupe=7sc
znE&;wRxz#j04GyWzGFD=^VSF%zY>m~LlNtt#LxIulLOl63f_9>Ij-NE7<8c4X}})8
zaq`pG<9vVnL8K+@j<`yS8f|<lM>Wtjug&)J(8wNKjbyro)BSK~Q~DZkPGORM2(YfW
z=2Rf9X2`bWWG5l$J@yB`$TvCj=&+kgX69GiGL^e(Xk=8yigRWypu$%`b1F!-eG>up
zEQ%>8&wT<^NmXNj8-qEu&LGjA6&9W(W*wp)YRfuL5sj9}r~wVX9rZEj3}tdYI9`Ch
zY|6o%qc+Pw+7iL;7w#yT+I=gacR#&@wU@lEf9k7<BsK;%6*^t~pHU<KA5gr`SEAbc
zAAzZLXjY`B@;^QCeZju;-?b+L-k<SfuB`==p8}}jD&Hoy01Y{u1`jUHU<hGOin!<i
z&H}LxHq|rNYm3Xu%Fg+DMlDYQ8g|oFcI-YX#P1Z8az}uDTi@Dx;^>+=vAVdpn8w0%
z^d<bmhwmA*+p$!(^YK!CK(nJ>2VBh)Xrb(9lK*bb`FEevpXvXfTek8e^!2X&{(j=E
zg<tTk?e)r0KZbOU%-jdDV<`ax=Bbi+os*w7qW81Zq%_woLL=R47Z<~xk$5L+w*I~3
zqFsQg`p__B^@Lo%$Eu5$v)@~B`(yD;@^74oS78f_$e7-nnwYDO`<xNXA!bDd|HZV4
zT+b;_F)nDR$3a3<SAPIDc)_bZANQi67d!EJX6G$o`(fy>yH<X`?h20iF(`(v5o?%U
z*#4~3qND*tz)EFcNOyHR&B-cMs$_fMHZ_s?W%-_8=j0!jfzCA%xzQW=c6^FY&na!i
zJubT(?VK+oUDZ|Casm^!e`AtQTfv5sJQD6?kgu?HLy*hk{BWw#$ph(Vl@11zp?;8d
zRVwdX0`b;_7C|xN;m4`hf&dv<qBs)!rly4F_b5#zo(__xZ$&F#h$h^WjdN4eIQ8L*
z2(t{~9dp8@N5v)!@xYJZ?&$H)tcQ*?%DuwreZSSVGH9M;?i!UOd(r92gA-aeKM19r
zx2J;|Je*CEmg?+zH&40^gXQ!Ky6DAc{9F%Gn)%u(kKKAV-}BSUVZ3fef!#mjVs7OP
zS)NPex%m-4^s`5%JFnV%kPlDBaMHXyJF_p=Ys2%#5_OAc85p_3AtzMxs7kh{$pq?F
ztHTlMQ{vG}eA(Evk!+p#y3J5FFzFraK_{DhTO0dweuZ7cnMZ*Ooh~D+JgP<l7mYr1
zDQkLgcCyt?bv*isR~3PDHIepY3C}hdA(&TseF+A}!sqzTcp7=F0l@}wt7;LhZ3)`u
z$N$jp3&L(39@12MzrlhoT>svVh*TU8GM{(LEOEzL2|3zr(GgbtQNFt_yP~R#FH5?G
zME7jePHM!&%_?Jy`E8>Vto%_GdWVPH`l~OALLzk7ntE3@6FMbty1STe*LJBY=Xy?9
zu5QkZTNbXM`N?CzG9l&!GOPwPaVgP19d1tn^36sVHb{wP0qDrB1Ty73FRHb&_4`0E
zv@dy$1?utwJ_zIXvLum#2KDH@hiRa%L>DO6xgvI-!)y4*7RY-g3{~q&#6ytKB(DS_
z*==#w{kImvN2hMgMd|Hs*1TWp>HS<@ML{|oME^Uf)98Y=p8jeV&O=C4=0`picno%Y
zAn7)@(d@b0&&({HK6Zl}oAJjm=OD1&nd&38iVMWnSYZ{Xr$6YpYI{8ln6cm7EI#xy
zi44^bkg7#}ZzVVl;QNez)Y|$Wi8NtM$B|*6V-_Sa*Gt+A1axHDE%5&17lS84Yw=xk
zbB}8B^Ye`{3*3=R$zGPALzET0nzP+V(M7v}o+v3n`llwKgC0;fGOVqvLTcfTV5Dw=
zYVY1hM;thT+tSj~c!042$V+eUTl2Mkd*vx?<hA+1JXBO+Tcb@-&#;5T&5dKJzIdaF
zust@e*V)-Wu<<Q^WF@?#YMLoF^p4NkB^EGsQXN5Lhqtes3iIv8bPO(oxk@bPW{6ok
zAzO2aGG6bJG+bR-PDB`d<jHzQOB2lD<GI9cn<3ub1A<qwiJ@UFXkB&{O~zScqAhiH
zK&$c%v<qf-&3^8<uQlV-N%091mu-&*1oWm0&7Okb8iebL15^2ZM=G6EA38htY&BBK
z;Y8pF2voRnN{gT$uI?60Q0J}J{P<M|s`SP+FR$29f{==P=wV*8DKsKNdSjxg03)TF
zB=u2S^44ox)sMS->zVdAoFeX@(N7%ag+tpDmv?`95PS!x(>)h9VAe?8dE!pp4?3Np
zS~tt=-KJfUXi6+pW-c<*px!-I7CZ1VK#4}&;so*(HAWsBBY|GrdSY>+R|Vcb1MbwG
z@=O4A!CSYN8ZQ>|Pp@vJg2J~|zftZ@OkxH;oqv`eJU(zEUa^+xyiTUViE~@QsTcVz
zDWjg~=(x2;e*X;Lys8Zc+n(2eNr7IBw*9T2dL!JunkUlU$Ob;2(bsahllh|bM~|di
zhJD*M)?h6rTgO9~JO5#b8b5KsWqa_zw6Pp?!6>;qf!S^1mi~6WBR^z16VmmM!W12K
zUH`l<EWc}4B_nFERp+_=?!W<>QqNY`L&QEdTMWz&G4=)J3`(ux`JM@jwqxI2nT+*G
zh56XnZDW{6-Mcu2R$JSi1GYV5U;w(+ul|;(Zhn0F&~DSZK}Y1}?DKazJ9NLfrV~Ct
zYDF*J4IwBHNL5<CY>S%uU&^!Rt)4{IdWV0jvuGk8rn%(&EqYP}4$LFq^YzxHLm3WH
zTRMQ)Gs0b{dIbok+&<>Qaj0cg7the2k1`gCUqcuQPkY5uRaUR$BY+_qibw{f=4}{U
zonMD(>&<Tg7WFZ1Fh&qWlX*dTzh07%NZiwF1Tn<G4Bc4`n5Lepe_C}*lB~<-vY4G_
zgv?BY);6a<hpJtKB)aka(9IL<667nXu)bisiEU)Hv}nAL?t=9BBQ$I1(i48lXz~j<
z0~}G&RuaF4etqLdQ$V#;yY_57`Oyc3;`!pLAx%u2a<XH^FcOIEM1v?5xOMigHmLJk
zx*$*riJFIj#>JGt7|WrScc44G`U|5r1_&&O={r7Fdauu6(s6M3$+*bL0twxP_ds1@
z{G>5zB3q7&lDjcf+C}@!!J#v6)zzwg?N{ksaOmpWqiN5A?oEfO-Q_npI|FTxaK^PT
z)Hwe_@|MP?nHhS_=x8Os+%R3u6(I)0<<ZVQfm-HMlHj@HT(|PXLUeVvUJ*uSux@Xn
zzK#s|*5Gm$dJK$Y=c5p+teKCCs+CsqFnX$4YyD_vY~zm9cxnCT5xMpl)Xd9lEyW`q
znK4sE=@Pc>dUPI{G)Kn4=nVQVC{spjGbM69f`}dqll2voZcn%ebXG;KrUe77P<zR9
z`JU|I2%u{}1Tu*%f!%*r8+agQ_EB}8NV|aoLT4k##GKp#|K~JBFjd>?VN{(lh97bQ
z*gA9pdXzM=?}>bjXIa%o&)Be!UM*~!lFef?A&qfol58JkHbxz^m^st>rL^gc;>7b!
z+M=GTBUcVs-7t@n;QJKR%Qk-;Uo*p|$@q#T-9AeGa!~-ePU6(kqB40GXFsw+zCF0y
z1(m#cQ*)<;snEIIOFrv1!H*BB==LIsWE1g&J#gJ*aN{5A1pk?mu986O9QeJP;anff
z&-JsUDM|dy8m?)Jt`qGc8SJjX_zzgwyyB=PUI?CO(!kuzH|#Pkd(h?w$*dUKyL2|v
zA54O9&<$IuHNw8YZmW50(8<k>7;?OZ<0EK4B^AIc0>$(M<1^r?TwGjd_^A$#!cc;D
z@q9+9`&7FT5G2lbmPM9>MlO9FofGO5>a4e6d!?6A+bYC*D+7zSxAxIm2wP_NZUHJq
ziVymR*(Ds2v9*f!5fO$yGfu*atCeH3+%)fbUb-~n5YUiOUxBejf2&luxdk>|WR@2q
z*<Liq-V%840|8MrRliugfZhWz#BDptR62f3Dj#TF%Aw~K5Kpv?+S&#-NfR(QIBdoS
zK!dZTLVDvpOswyE3ZT|)-2^XW{a8j<SEFFQ*LxDfb0?$XDIu&k`e@<!6c-{hajms<
zj`mr08EP6crP;MxI)~`RhltIll+Jz7I+-^WU6W|K+@N3;tX`d^UIsa17@+?mB4$^k
zrLbH}-*xa&mC9(|f;sWCkeEqlhu)ppwRkvJCA!2icWuRSaPNoa;WYD~F&u?I@_Fud
z3SI2tKe8k8`Mpy`iy78CmZ5OG6_KW^j}5$YzH1LN9)Rm9|LXhPh&br%&<MA?w;tBA
zVs^XZl!2C3&Dxlxp+y@b+mV;S%{buOau<r=?2uQpbSnlV%<kfOO^hkbRj9Ogpjh6o
zCbKdx4EW}rfrxE4hBomhCM0OT`3a7~MOP_+92DXG#n^0fpmGPsO)DHwO@+AU-v=hf
z9T_Y*SzaYHICsqEW;UAlXEA%sJtfP&Fk)cSCeA3xJ`ZwTvc#dzgY&9tQ>)rEDR`C3
zC190{MI_WXOKdBbFr(lcx@_-KU*a&2-XdWOtM*P+QP%CF8`pjiu77`@ZA7Hl;M@Xc
zj7#p$&&fOr{DEdC6Ri`4be{*=k#nvc`=lh6Bi29+9@o5o>0u|{{CY_5=jYT<mjN7}
zx*rCaKg{cCuHSA(A}R!g=%4!5vnC`aqJYn?8GkQuv*4TnC}=hQh}y}Zem1@i_ifI>
z1Z_dRB(D!sSLq<ZR?$6XQ2$sa8k+6igrvNk(P3eQxyN;U-2%1=)-_gXizRnEpl$_I
z2wy``7&OP>EUeN(s;&v%g-aw`6@B~Xpq*m*qxDemT=4^YpC$~0EJ~gXwdXBF85k-N
zvOGFs;-c=paWdI1yI3_Ht9J>tW15%|fT7`$2a7{Ih-Ghl?BulnIB2%Ad<(RP&?ypp
zf)KDUA%gMoU{}wn+PDSmkaDX7f&1lKU}F^k0lLDWDS&Lt3@HF8CRl{q#S$~j5I0e?
z%3t~E1SEi)KeJUdn+2`|p3~kqDyS<#h^Tq&>G`~0R<Zy?s)gHfb<AS(Y-ngoiCx83
zS)^jr&8_IP1oJ90j+u$VD!I{|XjP<1-HfmLn91_8fsu#)i_x!H3b`iYw-z_c*tfRy
zv|uYl7qUR+0*4!9tDy^BsPBw9)XA25Bd$v|Jpsa;Pl(lXu3>V#k=iAUhAD<D3<X~m
zXcJbR_k!quQTQ^UM0NalS#w|JsT}=N$qx5L$@aX428#?l2r40{;s>)pQ`L3V>2jRL
zXsT{*e0z$i+R26~{|w1g#Kh@GN1xgxZL`It0V^HY0H7V#_gcKO?3b_*n|)~~S!V;{
zvR*1SaZBG^HVx&g7YnSqj!Qy806>nw4{kr68fxQmYecNqps}^kk_4&poo5?c4dckY
z>X2j}-&X82Gb^z&S|~yb_TWsrTZIzY7(ekYl2O$QcY^bFTL(Aw<k8q_7?8IdWE_qu
z!sz+*$tGUi;M-kP1a}ptELU`3{EVKG`|!$ix1MDCPCQ%_60V_X4y8Pb^4GwK1y5LG
z1Ciiy1_>u_{{#s_qYYv=0$2uYhr{VWKXN0Ix{)d3+(4)J-JuaESkKjEW$wtMeZdnH
zAIVe;Xp||ytfarP8Mq;o%c(SIwvH3PqkSSNTkqjove=!k;R?ALzwT|ll^tJwFWH@G
z<V3t2NvBpz4%xihc2Vcf&ijKkrWxi~`Hxs3aYt9@l|!>mLZ2(Ug>ZZ91;c~T%I|%d
zZUiWGtM;62i_m*}^3eoU^k-qT^q8MPzTx@V{9+u|#}-FMx+3AAH$1ztzdLpq%sk)$
zgDR||rMV^@bv4%`Ew23LZJzvZKVQ%JO%YrUT44wGYAkt1LTauATX2;$7Vj3<2O$}X
zhP4Cnzbq<tam?|*js>r7eR_esCFtAj_APG|31v~W(`*R<pH8z8bDxE(#d<txF%GHR
zc5$&}VeT>h`&gG*m1xL~R7Xkyc)y0pOBM$2ejR^|7*pACA^vKpcs6_PNBl*fBVUKQ
za-=j>tFDVMuy!BuPs~^;`@%#O2)cIvw`S|X=Bqes+|b$Wr+RFjOGlo_?ml|rQJ5yP
zQP6F#c?|uPg9Dj4B5;^Mzzu$uDTy=m+kWZ7#%Eym5p%Aex}{f%1V8<4xxsb~7m5Mz
z+dO&f>E1*@8JDTc=CE=X*!*`JeP$U!87jSBNTaK9xvyI0>9th6l_41EU@IFJj;)5L
zUO7anvnI{;R%%`w7Tn3*)578G)c=x)avhxQw#BtKaxOLYZ!9x$U75Q2DBqNyR4yi5
zO}RR3p^NZl>UJ10Qt;jO!BsXb$;sPiM{r%uuLvPAp9r-oUYL^+RtcGNU8nkqHZSs0
z^LMrjBkajSO(D<hqK0xBkz?ECQhG+iMN-v!&Oh7}Gp)0GDHV6-L;bL_E>rP>d7HJi
z)rE1?eQ}R0cbG&>V20jUITPr|Oub~E!@nhG@7TKF5nooUB2*QO7E`|NhcN9pk6THF
zKjCK#eYQLGpCqL&EdS*K_&?LqCD*=_;7bgdGo3cxRfjRB0n7A`U9rS>enFX8FR4@S
zIWP(X(S%sU-)I8=qQ2ymXW!5(c}L=k&+@Ze>dgOTVh$3Cov-=AdzTC(sMkb3AX@%A
zRRLe0y7}8?hWhP)e@PvM|No2w3&#Q@%{O_DLuO=z8><CAW=zkvDP*gU;n0(D3MHgq
zXFFP0)wfzxS1BZ%>=e3qGn+CBw^(Jbn`$putBk$uJ}M!}7|QS)kfHg;3ZNgkRBi6>
zS9O8FqR?#C9A{g@CpJ&(3vsngpdyg<#ph3Ky#;H0fIz&dG{ZbAo(~BH?gktTE>b{E
zM`&mShp5VYvz7!;1KYayhiZ_9pPxm;Vpf7Fy~-+gj*F<>@v9qaS>dj}61?+_{fUT$
zVA|kI<l@~$o?i3hY2%WwGjyzv4BfB4&WatK7X9tmL}NqbFs5}gc{O53@ZrTChZ3TI
zTzVQnWIUZg_VP00GLY0616ODUsR+EHVuA4n1%7KKblMzwPf@uh6*Q8hoTs+}xYU=C
zk$@0?|E=$^3=m?l11oKEWQGgy9AI^GbqxVJvRamwT;D~H39C9*YpPh4Y2kii8%x&8
zbEUU2kyU%QRdM%`NfSetNwE$rT>dElLA$+}7gxRoLgqjN!Ml~Ymiy9d%~p~{jlM2X
zosez44)+{ZR@PWRzJDAU8ELC_Qaf?2p=#qA)|=-SiW<Lbr+;7URy)Z#LvFN<Iwv&C
z2;mb@zR<Zg+U`Bp4cbL>bjWIeSKLS1O%@17n+4t$P8^wWx2|yLm4Qh+Vc_PZc6UAt
zaKNpNSJhl<a*y{YG={eB1XgXl#8oakl7z84i{rR5iQt;q7O?;Ct%ORid|aJQi2ZgS
zY2z6Q67loC3nA?5ZRk#bRZ89xJZtcy^>*H`FV9Go`27X-P3z?#{Wu6p@B+I~5*n0U
z#(XIOi*@*n)b8maQ>dz`sc9<k^LUu7kn8XexJ(+sR<?F}fOu2MY{B4#Sxxk+F3byt
z_wNsy2(9l}?0ZvrB~f#IhjI4|tT+_BPrF8dHB1Su2;`D0Bxe2rw0%cXUmTy|{|NjX
zclF;E(|Hu=mHJe~B|<N?2xg#?^Uv4Y3*wtPsvGbKM%5cP!?}xWv~Y|h?6MjD{qm{I
zcbyi<{d+tm1tOeu|6d=%$4N>hrkH<%RCwYCL?PYDVyZ>Z%0J)?#s$U=`w0m!Q@kHl
zHe@#KA<yTMj`e*4M*_W^<nSPkZ{1*KU(ad^dJ>^BApfb#b{a|rnY*rp8fQCZRJ%-Z
z^?pDycoeE`uFv}sbi5lja!z*y-OCca>V|wH2ac?fB<1X~i5={?eRT;=X6~xb7d!im
zU^Vj)N{X|2+K+H<I5^A<7MdY}qrUrBzQA>;!SYYW_!?#vxcNQ2X6@ekeUMlx=|4oC
zr_b<JxUHNq0v(iuOlW57>yj>6K?$9(5g?;HL~bkrD@P2Xa09a@9y=Wyx?@|^&=7=e
zMDskoJh6wnM)bH7eKlAAW;jp%I{sr;tfBMD4ey5KjcVGG`9~C7@kCZ|V!C^TW=?34
zXTf1;VxU_(K<)~5+mb<wKM&H5B_?+BLLHJ)-dF3LciKIK3Lnz1@ihZ<9)kST88%`a
zaFZa0`WQ#?%81D2M%~_xJ<VqeN|W47h2wJLdueGLOBJW+tv`8>iKC-K1MzM-OZGfZ
z9v)q7*ql){ZXc<_hcX{IlE(L9`>p%5qL@6&;h%#SW`AKYn<RB5xos#2oP*5S*nWU!
zT#!-oXy~6jWIb0m$|jXPzgYO9+SAh41$z@0vrwm$);rD;+2-mD=I?b(dIp~B!t5g`
zVKCoNI1eOTVzb5P>1Tin3vrXYifm!4fP*4;k2rMW_9&aZOpr>k?;kkS-XvU+sl=T#
z(I{ik_Q_r6PkZdU(+ri1IYgncwNY7Gw{1PW%gf*SnA4QXLf0eDz~CE>)?Y#>KB*7L
zvGGMlK1LO?dpjXjO0{>|IyePR#LsdtMzH9BV)QJ1VTOt9Ev71$->8#fuHV{0phELu
zFm1AZ@EyM5$VZpw?u_)SGE+}6W!wJUBUBh`rU!FZuBNhbl+zex8=<-W;I=}MNAr96
z+)A(D6k_gnE88jzZhOQlm*xm3Z3)~?(*FhAALa^dszMv^3bxv>tBi+6o)RyeetknU
zzEdNe)f@-(a_+lGrYf0X^pw!#IJi-J%H^PmCKDKd;dWtXL0^?voE@z5=L_KIBcKBt
zI0+=ZElO?FJim2BEHS?=89K{udJ@CgfRYzz^SBkOzqiZuNj<H*u+93yxh#=b%GR?+
zpIzL_9hBKw84v(9mU^$1At%@%`dg!#02P?1dUAK?eJA^Jr_`W6S&<4lL~#!iZTDA0
zb2HlpZ3*6=B0TE@QC$nBn4_@1bjbD;*mYb@O^vVWO9TqYwGE<#XBWo1<2&IOog8l8
z?l=SiSblw%Sz!8n{YB@|T6ZI0Hzb_aTU=CJoMC8SP+>XNcn``0G9Pb~8l1rsuR1s_
zr5?inT%3;RBOrC|FenqLWOs1ZRYO&We8%fpiEy#yXG{wX1`nURVn-W&HjnoVo#iN!
zZQl_r3gB?w<AXW8Fk)i6!r|Q5!e+39yMp8sA^St7S_|lozkKJMCNV>KVdPeELJ*=L
zRus@|W15Lpc8VIFU5EIz<(yYF$9xZ#J+$HOKbza0@?`Ir0TFtXmhI_F?`GiFnFxvy
zmu3|ki4-0u^48%fiNg9@OWekJFROekuw#k4!;V;sCMJz~kdg_^JNBfUsu&9CU|U@W
zqV<ge5Fl%Y%m-|+`rq!zJj6No-gok=eU@W_$8+~K8nx``{c0-0J(sFMFrND3`42k1
zIFMHk2{$bUyX-}aL4;NIz9C$6l&l_Gt7#PujjgCBW=fe0@RWRWumqb&D(pvJ9Ljp9
zVYDorFQB5ASm52MpZc+O^zJlrjFM-XjBW%#XH>}xBjUhe(yrU7r3dtWwJuYkV@vr3
zZ%gOW>n9ugZ#GB1>b{3N4S?9S7o>CtdOwLnMGq(ReFIneYhM2TOC6w<{4$JKZ0_ql
zwS_0HoEN3})&2N{pN?c|L#r9t2qL%L*wni90U&38A*JEsHxdTOnMuo`OfJAG$kYh<
zO4=n0<ip{1Px))`*0n%{HWQSy4%_y45pFd{eh_H7pJm3%+R&aE5u>CHVwPV>4H7l!
zV?N#PE<N{gwF(@-bGt-0%Dn8{M>J#F7S#y@ygoX7JKO+fp{rp0Rw8^gT4Ev(f!J;7
z8%h2@P@djIv8U%ZbEty1o52KNYMOCn_IigqqyCexpHTOpBFPaiG<CO9-mRSKQd*BH
z52b`Nd$MFonhIRZ{B~~fEWL}b(bo@j&;_iR$vo_qcf-otpI3zycGQK_yz3vF*<kv9
zX@B9A${h!mCLrAf+T>UcAZuG+1We5xgI%cJJSAXpjGK|Ofb&5(DDw4DDJ2si?9u{^
zBe(LQj0>~9fM=yVh;0O_j0eE32`HD_fut3{0cyaFj&dGSyTc2d?4$uy;|G{MWieBu
zsPOP8)Oi*EAB?#cZ2lRn+k4tQMpR@bXlG!o_<KU)hP=*m#gKQmESqbt{~0yAdxskU
z6XuNN_hSCtZ>tTIQMLY7P`%3~hXWrSM}>4<pvQYyZ7Bxt57hX_3eBIMPsvuf^%JO(
zrSVq*OTE2P{7UgGTXC|NI=~#nT}CQr0JqA5FJA=g{z%1+qx)lF<Hy!_23imM@xm3f
zXQdGvfE?w|T%EKHh;7dcSVlqupa;W=pk0v@5J@QQeLjGD<DCEpsK%BTh}DWo0TZMq
zP=pv_t0)3?HzKosP(mD45wi8_o&8UsQSUEhZ<!~Dq{GMFmP&(S1#FR6Pk@0SD=~Nh
z3mhWHL|zL~{n)9mHQZzF7OI;l^%ZyP-x(iu9R8i|Qb*zcejKRj<MB#R^_Gk8<m8=o
zhOlZVSiwM07y;0*(kz00enQ2Awun`M;5IXJUZ*NJ9T48$0|f}Vvm*{bgU+C+s>U3u
z$~!9pks~)!=C8XbqZQRKnF3tX<h``O$FKG;kLKm;`*KffP^eubY)=rRH$3soV5Z;k
z_O8N#Rb>w40i{U6d_&B4SaCOg)h#f?_YU!2_4cRd{mQem?JMD{{9^`2M(f$*zw@=^
zwKr88XFpl~`G{Sag##d_4S=Xt4)yg+dt_}_=ulHDj59=xPVI3DksKr809R1|5eMUr
zvkPzqWfptbC}2(QzAr12z?1j7VU3Om6knpI%W7>25QAigyal-xA}}cI?@dJCm%I6l
zNUmAi8D4Ejuhs)`H0ZEKz!K1SM^UQ=zi6suR<%YwX0-wMNdEL6m!2SHE|$%ngC(uM
z-S~bKf>kArdfM`%CaNgvh$=Y_Titi6p&>qcRFt0jYF?69xV5xc0El`#IemBQW4*(X
z%J(2O-eVK~`d2#HYz2gpyU*oIDap295pN&0G&e^o{o}fyA=9uOq4y(i{0aH(PaZ=1
zjwx4R3+!RKv+`Wesy6H(E`Sd(F94wES*@WF^`a`1mlH1gA55b@R+{$lzR5Y;9Ivt9
zsxJY+UC<0FF#9>98|e310td`?kRn{>ADi_b=Y<tl4_T#aW<Ldtf@Rp^v8Oh=z`)Wx
zCD_&3xxpfx^$EuvxngUhgk-K?V+TI4&$lzVI6LpC-CGaI9QW$Un(e)xc<@N?Ma|pR
zYdk>P0R;IZ*`kbw&Y4zWy5kWKY`a>6di`W^vRiT@#Bd`<HfbK6gucC|=xE#40$-DE
zWJhtA&vWYcO=3BGp#^2`*K!?>Kb;(tLMyEz57z0?9E=UCVQNn~4Mh}H&0e2B^CxWW
zzv?^)N+z-Z;1HR;n1SEbzzEy+urv}UetUd|Kq7%ONV0}xr`^hR+ny?zAmq`jjwut-
zd!_IF<&eP{)H3L(PmMfmGcP8O<NmwOp^?H*1vQ!Ot-^<o7f7`0`0T1lF=xkQ>G)g8
zoOF>$#fV!=-CCYjIDTqsbkhq;SSy{2mMk`YVRW4BM)8{1{l?5WrVh~Cd83)(xci}o
z;9rbB(GmhLhW=m0sDIbP8!#K}qD%*6o{~zh&;Kba>Y)I8_!KxkX(51uS#Gx*bxsQS
z_Y&D`8yi8tcn!bPc!R&3jGUZxvTm+e(%O_I0XRkA7QSZPX4*XYrl<;PZz%hPeE8EE
zDX1g!^y`0$O6NqZn&vK?8)Gq6wkh3Ajb=4Wh&2UubeXys)$SDV$UrPBBI_p>r@?vJ
z7)2Sb45)`sgj2)bSO+tG$5?jOkykBEE*g{?xF_|OliIZ%LfzJW(Q^GWI6mH|6wxex
ztr-^%gk;L+>tS9=aPxo?xpr;Bc0^nG-axmVq-xySM<SV|r4NC09)f_H(d?oumCF&3
zL3%3TQ18PxnXVk@LoRkb^U@$RaKdKcEWMG9%i}JgT;_K$d*65UlPZEyt#7_0p?yKg
z@6i3h14kkgom22_AgZiND~+Iic8TNA@EdEXlzuw(Pw@!EtQ$ImYov~rW-R4bA(Oqm
zeTmkiIO&S{PY-eQPbbr0Kd;72m>@tFRSstWt^|5>tB>r4%(?@E{;V~{8{mHadsVN&
zd{7FLY`;=EWQ784{!PAOnLxt^343~;UbsFP$lr*G&fWv1KN(@R{Wou3l3vJpxTHj!
zf^pApyF;7D1_lPc`&*rd42|f4?s6HQ5-tAIzB&D~a0v(FlZS|Y8M)em{iu2Y`lqII
zwl_d9S_jbwK*l^%peXTe%=Z9@9DjW0VE{ovtw2p(1~yVYynqVytNn8`FH5OAJ9Olk
zAGViJ)<q}_;sDst7T8yVF>Ib6;1>m^1yFpmilDL{4l?JavWj5P&%z}z%iiIxG6pP{
z=TYMz!Z(MO$h2R9K6<37r7&(5Xa_hcGh@oSe|M*eQjQj?Qy&~|nSqo2FOgFJ??`EO
z(GmfQMbwwgCc6)x-+sJEW0QA&pU(%14zDi!`%5rB{~m|m)8zkt93oEm(0#m+s3{N1
zu~)4zfDy<7Gu8_D;yp$b1J)q6A6#aDc0`+5AhK%X3~U_cRY4>-i4F{{Hk{$#HO1U*
zBsSIg#_WUcG|hKD(T|4!Ne~}U3J-!34i1g<^CxO5?1R`Y=vBr!6v)0k+YhNNX`Vc!
z2l{lPl7Qn$AV4b`2ap7y{PF|F4buJV`-DRpn)gj$@8?a|wH9=$h9^Hef3=4c+`%TL
zkKuyd(hRr(o2`qUuTO?}P_vn5K#~6)ku0XQ4bHb1L*c64sYc*U2IU8^GNgv_A5hKu
z{bFMW@A*bEo71*uKi~l!22H%3Kr*O$voSOq-lU=MX|=%#C9ABCDK`{mS-ZFK9A1vk
z2z1pZ9RT-GH8k!Vwbiq;wOSFl_4v=59_Iz8-o3`4t^0GF+2n7a@dLYN<{~gQ<UKK8
zm?Y7zsV|x=g&A7%dm=Hj2-2cyULTJAKW!FozB#o0pQ9bc7(PhuhFO(1rUpc<{mKzo
zv%qqAHE4cVZzL8{V;&e|oV0QeBV{=@l#@{Js?_s#*PT#bqcedB3pVdb*|d#SmQ^VV
zm@ucruAER4r9x!qSR-SPua4G+jN!_H?zM%fJt*=9w2j5l0i^)%FQ<&<ZN4P1=U(aY
zoO(%`(EaIrZ!oMys-_`mv^Q4SSn>_o84B$VoioTZQ+-1|B)$ZO&?YJs<4qd8K5vP&
zgd!5*e1W2%!^*eqK^X^l{Kap)a`FD*8ucS)f!@N2$Am9m?$D~gO#f6Kv_ZJ=lD29<
zUE??6XmQJQxsTzi?68P}5D<4^H3lBm(*b!d>QsK3r}2ZIlx}=$q#en3>QSGR)Txh%
z9`}y$t+#hgl{8h+#U~0m#UJVl2{p-PqOCcMQCU9(0?PQfsP_}ZALl1UrB&Uvu-N$z
zSkR3pN<v`B%oNJdn5Dsgx=ve=&s%q@)QCzR1V>#ZJku|O#0M#ik}v`Dp@bjY5LrN^
zxTM7TLMJ#t7@{Sxns52@dAVb)>ug${&Y=9A?<3(s4R&n*L_WNHY|D2u&#z3B!~a^I
z%#)VV%rlGTFVP8vi|y5XbDSKDJk=NL-L0g=`J=o>@64xLDrx4j#4b>Icaf|9=bEjq
zgA;Yp1`9wmC^OJG8jHOTB?566?-ES~Bx%J?au)J-`0G~*H5gbk#pOd*`1-}89CEG}
zMpjlC!0>`vJ-RqJFyL%b!xP+yW?TKI*tI5?G3w%xfaGQsx91%FuUZxll`_3Od6|7d
zl!pB7!PH#yn`aU>m)KZ2mWJ_Rysc*4ChB4L!+r;zMwWbjOqVOi%@m907rXWb3X6-m
z<2voQ-*^GAO>2nCg>gXa#z@S}1I~1i7Hp<B&DQ`xBHpuJ+YcbB<AW+_fVL$g>;If*
zVZYpuAP<u3K@8-99jiEopvFJ-$RgEspqZq{kNQR4+l3kG>r1M^pi%zy$X@CygIS5U
zKMz>`<MKzN&OqzN0|Iud<bexL4%io8t4|$jkrU{2=WHr50}-zsgjFHNGh+Zh__?Sm
z>F94>0$6GbC&8Zq#^*|V$~=`WxO<<P_3`Hej0jkF&jC!;fFD%{LX%t{<6Q8~|1Lx4
z_bP5ZL+hr>fBLl|qAFJ7E&HJs#SHu~h(^HR_(DX~PWI^Y@Oc0*Ne5;I?8-vFdHQ3$
zj$^gzc~iA@bpZz*^k5ao4J7qC5XZE_fAeC&*-t+yiP~MlXo(Gr1$}3rpulE^<=07&
zhG2vtzTRG5hCo=SXnc4BD0SV2Z1Z%uJ5U2*9pZXP!%Ekg+uZ&?kJ$Ez0UEcPRD0z;
zs3Q;u^Bc30Kfk~4{7?Rk?0FwWL&LKSxuItGKl!`=Z~yMAD^lOMXi6QG(DS83DwZZD
za=~r`N1^f?B6s~VK>g1U<ICR*lm2)uo{H)@+62moe_Yx*Z&BfhR{7@s4i_bnnIQd%
z&A<dyZf9E-vDbc(LMF;elv&^LAYH8k8N<sjse*uT@MfxZj?5h1Fd_3G4ZW6gsUppS
z4*s2I-!IT)oxyJk6+;vjl1o|^`>jsOwLf<kCFbeg>n=+MKAcFfgXEe+#S**<;6gAA
z43v#k=IR%pPQ|M3%~FrHZ_b$^8PsYUP|-_-{ZM=qkH&|u@CcD+@fYX74zuTqPzH`8
zbld6=fb5+H*4sMHa3G7Rb$JU<QsGw)>5zg6ZZ=LBzwcch8fns~?<DP-2O!2BGZ^|}
z$Ewjv;p7NFyOx%bvG;MWXxeHFwcv62xOcB3yjh-Q9n@nt*eFLIXaJxj)5zo+@cFun
z5fd10Supq(G{GeBa|Ap0KD19B{|>;LJw$%4L8ws~JU&X|;$gMN-T<$-30s`Esw+{|
zoAnAPmJk%3eG6I}d8B1!XX>$FQDlSm2F3@Zjr!o-t=IL%Oy!C@Q!Up*HKIDEjD|)o
zuxtkN=x(Bz^kOHLYb9nLLGll{Xq#}<km|3aZ^k}$P9>71)QM}1$JbYF-IR;p=_yvW
zQpmpV(b#9fTV>out3K}u-Dp~x<ID%Fj@#eDti#5E>AO7w<qbBL+hTz0m))|+b`lWY
z<mEHbC5HIC9D7*fS70CWsg+4}G)XhNCv$Ht7Y1I>R=0LQI5MNQxG3t*iN6X({8-*Z
zp;UX!q0hKn=oTUXMc@>Z>dsP9%VK!dMi%VYUgN>QPiz&S#4`m7*W^ql<+U$l-h?P9
z_F%cPq;_8{ZKy?fR<WC;3+thP4BvD(MZBG#nheo3ItFqzS<{FgKe_baGkC;rA0g7O
z%z~nUD1e%3j;JjeL9EX$G}7{lx2L=S{T0NeV2b8CTY83Ob`e|zW;IuTQzxI_Ww<;$
zxK#1!2k1cFUGhIX3{evHLuMfprxc(B0ay}H^~CY-uG)|seIJL|fc@vtkQt<l$;X<8
z=9}fA2DWlg1b8cPtIndhowVDVfgjYW_X1`dCcxIgRf=MaW;p)t@u#D|4KPl3xQkW|
z0h~h!Lcx-DvtiPK8w-2@yi0<^74X&M5(`mZPjz+m7AEdaJCE|It0tz<LVm7Gv);Bn
z&j8Op2IQwY$~cg!?eahgIzuC&;D{u<m#D-5?KUwjVbDJE3J~f~VEV*_C;hGRt2RP8
zY*oZ&??DK#5aQK70u}t%Dya@6Ja9pYPA;88uY#Wz!eZjr>fwq2U<~;Rjk&k*9PiH)
zC#{1CJabWZ=cSMPTwG&D?u`p~(>v`NugvOu>r$3XY<rl%Bj8!61GWu)ZLmh?D0wyg
zF48VhV^@_4lo%bOB}k^wDHt#aS<ArtKjA-TtD+A!2Q%xAp^0EZ-<F_DI@5|&%v8{j
z8Ck-+F-gT1vFi^WYKf2ZCucqM?Y^v*s>_sQEvh}{6F_~RD5~=0=W>oRbwuoDO<naB
z0h1CkOK~GEPW{ZA3yKZZ^_J^b3x9te7WV$yjVLSrsWz79TsJOA^$*6s=L<*-pFh~O
z$YLe>$wLi$N^MD${zBpSdkZyRQ?}>YSnXR+={-(Fq|vbcRJ-$2P5bPPgj15rOx}w;
zcrVPk?Yclosbz8qYTIbgD7Qe@B-6lXcitekv?_@dP(3!c3Z!STqTsk@YIeEHjH(%E
zJleWs*&K_g$_1r`VCYE0%WhOx(CS$cGcR0wGzazok2T2J4^y@18j_}SLRkU!^9xAk
zjV?IyaKHTS#|w-|k)SO(VfZQ!5I+T=U*>^5`G}96T0t>ZHZ*>|%r{kEjG)cex#u~A
zN~#vHA1l4No_TRQSt0DRM;cw%-68>4+4K>CAlNpC0^OPhno&s^ne{=?**$8mVWPJs
ztX*8AEgcZ@Xx)2eV~_F1jhT-&)l%mr&wLUe9cEj-J2?^;7xxJ<%Sx*j7#OIR+NM7=
zVhNOWmx%2tV8dawxco_XatK5P!#G^vy$f-hERPQ?3EP}{tP6^G(Wh&I>??+CcL;G5
z8qTnJR&Ov98$jQ$&aku3|LX3_|DoRh{VbufRb(iP>ZFpfW=WZ8Q|DBOR%0TKr5enj
z>}F6@h{_U09Q(e6F~ZE86fu^Nu{W0FFxid4Snhi|-*fN%2ktNT^8+7``OL@X{eHbZ
zul@CUz9C;0Hk9uilmbycFbd@PhlTa^^;;mfX#n-JB2<MxG>!4eK4EU&dXlLME@2Lx
zI97aY=1;>&%D2wWa{fXqrbC)g%AVR0I@HNzz@|S=aw=fg3vC(ejdIR{qCZ|C$u6C_
zS7jvCZO8q3^^#kqAsm?0UjgQiv4o;#$5PDTsDrUX!2oXxbV;|!d&Fx0(85`np9<hH
z<z<Q|T^?=OK<}(~>s;@g=(+Zg_YBO2)WtV}Me~Ov;gif4b@6$9eSKZP^smXsu;ke1
zI@7E!O_x+>WjQgxwU5jxD$l9xDapib^|S8*;0xsIwQt-3YS+8@p3k2@i-Wixlm*Nu
z8wXDd%yTS2+2UtSKE4*?7rU%_eD3o;{m7BaP!QIoTh*ub`6Hg5`B3a)TN7eUzwD++
z)D4hp5!)}=u92U4W+iv|QC%eOtCbC5py-*h7$E=CT!#=f!TVSS>U~ueryF>I+n09D
zNHOTfK{6mLXbiSH;#9BE1d7?hi+iftVvee5QBUu&;RHSTjLU!&{mk}-MrhljE`kZe
zG#T%2^7EBjSxS<MU?p!l#_zkgrJ5Xr)(alo++9D5V)sUaTB5^g2SKrSx0pA?+X>L@
z-SAGZF{m<j<dOp>$t<f6d|X#w?**qv3jU%H00>-M_zOU9!z8mJ$XihPMF)wDo6sq`
zV9Mi}_Oy1LzvrDhe<M24{-6&W#M9VA<Om!P*K%I>@Bh|5e!m@C1u$n5uc+zmF3^n>
zjZ?r&DJv-nv1Ze?e=uO6qX7N7*^!0rw4sh_UfL3za?j@u6O=Wd9x){Qfh;5lv3&=z
zw>`{gc5kem{9>%t50|=lhqSb`oP%K(Wla!Yt)){BzSj@ii;p<88t?tg_Lah}UA|?O
zncRVEGQ7!a_@=6@T=T4sKPc);8l*d*74b`%fBAcKu5$V3?(Xh8@}VR9ZK@FMN8Hs7
z>ik7F=a)N~nwe>+$H?HDY(V4YF1+fWzCJ|zJ`=1bx_0eknD&pa<GULiOT*Ww8c2Eh
zr3-Cjf<xu?1mcI8nHfB7q@&~$#jz7lBF&r|zi+hVRzXeaC9?plweGU-rDSxrMT5Uw
za}oE3ZTgQnEQ{<iXLu=c;z~enZ0vcgr}`8~B7w*v7eXkQJd|j=YQ(u6(F1Pb{V8mx
z;Pe2GTBy@zU+LWQuMp6A(57-Mmjcrtb+42R*|N5_<_3z|L3O{ImlvN7dJTP2zXk(E
zG+-gS*1$-D6}H;zWC<wYt%{%lF!Q-5c*-0ti4A3%@#f&#AXFc)hU(#4@J$HN9<noJ
z+<@ahj|}SgpoN1e_I>+CHk^t6uo@H;#8_BZxDV9zARvu&t=4f4)=zmGcmx!bdmiwZ
zfV6RfvM(&P11g;E^5JJzkT}7r^`blyiD{pH7|a9G6A2Ra0I63ZKdGR)S+@#)gRpT0
zWw$RvJE^v|_S3+g{@tN=2WI3+%A~ag2h{@yqIM}LEZ>|hJIjUAk=3)av#;UF&z$pK
ztjL+P-TgEzCMud4m<3cR8m+It2n9u1%(%D+T?^#ZD6Hzq<v7X-{Ai<mv}pY6*YB%I
zep#9a7-AZSN)ld<);wJqLF2+(oPZjS3bg~n6&(R5`@rFFYuEX5HhHVc=HT$G(VC1=
z8wdK)=;&yt{m~841?3#5QFf^{G7$8;^#V<BD<bFpPv>Omdso$xMSz$O@4Rf2H`(PF
z1s}~e>&&vW%E`Q1KYV6y39Q>Va%A7*$B#FNcJCR{+@O)jV;YI^@k?vpzkfd$s0qXx
z^{q~ubER|V1IGd^PwB~%CWoyvjZz1q8`PoS><iYA7X?sVZEZJU`Gw(&-~C|+J74k(
zg~J)tZ#hO(!VQ~fkFhQw181zGtqq;>e2W@3L^sNx-nNN@ifvWdtnqYY=|;cHr9Rw}
zgtRm!rorA!rw%81h6yCb%F=jpmLkFBRqN@T6Ca%46M94TLF(cq$+Y^#*7jBVh~<4J
z6zj#EZt=|HCb;@xshm)|C3(^<&;Zs~Ms83>J!l)aXq<gLtuMENp5)$mD97}Tz7nxu
zO{-V}@$t5^vqXPE6!EYb2F|nKWt#})kr1WucE*usF?oiO4A5a%AKmc%>cGIj#wzeW
zjgQw%^RY*)DB$IrZ-KfBktyY9Q0fBFTebKX_YQwVY4FwNO#y%S=u6a!2YLYg7p1JI
zxY{P+>dI~v(^E@m4fc)VnP9OtPInkNfEu^0a#9`YZ{wRvASbuwOV$=^Rg%sXCd9{Y
zUR`~-yTQrWA+^E1=N-3cSNV$n!M!>Ma>7M>hJdIVfBedvF$q#%t_uz5%Rl1&bZX4^
z*rAeek*>Z?>*!IdI~KPyQKj+#*^=?|c7rCr42kmDomj4~hV3!|9QEcx#$h}$@XX#>
zXC;=i^nSi3{Xt~;wKZJllq-ZHz~vd^?7p3bxVX58XPRpIR5_ROQk0vWLBFri6{CVK
zIzd2kdOghV($}mc^SHOv8+qKc35#%b9Ig0XIP+{{ClEoQDx2eAm%%%a01nujS}p&*
zZ<-hRi;MI^_Nv~mjf4xeg_3ujya(B?x4Zj>L1Fc)mD;jcA%}|ql7uk573(>NIw;P0
zO)JYOXC111?#$e<{n9>XbXs8gAQ#<ye@lBKewIv**YKVEZfm`gN@eS}Kgs)7I5|GU
z`l4mGC*;Wv#wwi$uant{p}6-SYLAB5h9Hj|1Hs*5kI>T6Elm0OTuWUUfUHbjXMwhE
zfdGzgdQK6Pl`p>2lHljy`^@1WMnQj1S7-U#MJUXsWp(yU+o0mE#PiPv`lB(%5TmQA
z0kymosH98Y+ZEu}pd}PR`z7cv4>)`79O8_Htn5k|{O#eA_=%BK_NB^Qii-YPVW~1{
z2k%`_jjpmLn7?CdgpVvW03qn9T45{$o&iso91Dc|`TBkvK9DTEY7~~r+b?HPnT!{L
zW~Nf)+tF_fi0gwAuJ@{vq(L#?kXiW4v6F;Jjh%9uuUgMW@pK(p6vfuVVo`_tdQ<~J
zFqlTe4D2ZSx!8E&;pn^Au7tgNhYv9iABzElxFs~6`(Z1?l?U}8Zi>mq(LO-Mia!7S
zH?*bW`Z#%EtYfSI7)l_KYF8H@{Y+bl7XG>q^l<gw>tB>!qna1RUHg#*oDd8NS)2_D
z11_L!)^-D1f}ezLt2mB>t@`%5csS@?mY(SRn>vw0WcPYO018E`gp?F|lvq_!JZg8j
zD)z=%o|`h^qyp7o;C_eDpQ#XfkO5?@=~}C6>&j(ud=mrawr!IWZ(%|4kso%&D(3H&
zGoxfzY_<2S+Tc-qlR<>`g8|=u4u@z*Kz8t6Kb>104%d{!eygeax~j4nZDXz+K4-}<
zp<8q=a&gC`KL0$Vc>RE?DjLhxX=e9r^|_mgqy99yeC7<*GVr?RL3VE|{37TQjkzFW
z(uM?xG;IJ|BC!NrmtWom)h3bULy_E{KQF?8vAw7zp}EO7$Y~Muq9+3iG&@G=)g_Af
zYrbOLOk$0$cknBDp;y#+0rzNEKg)Z-0W4es_{yC5BZEMzO7~G^U}P--A#4_KzL}{1
z;`fE&;1^Dh?Yuqo-x#MG9_;DqNf4&&*6rlUM$rxTyGrN4`#S=VSPe#4rb4UNO>v{U
zb^TOxf^)I*k<=G1dY3q4@!}4%V@V}o63}&kcac(2!Pg>8CS}ZJtQa!%EDJwqRUdiN
ztlZbpF|X#YFu~<o3tMDm)_?<R9#GYpj6Gwq@KXDS&fp`J&4rt6aA2D+<&>%MJvsnd
zuIlQ;S<ezSxu)e4a67z!tt2FPzE_{F#oGX6Zxr<LBRlU8hq4l1!ft@|x!TFwfJjQ}
zH-Fy;NbZ|UZj6@lk-#QpeA5FkfLaLTjqvw5l!*5PbzT=fXdOQ$QJY~Bu6LElx=Y1T
zC;poz@(C9mH3yZL#=xrRxpJtWd{HOx>C>k#H;gKTmd`xXZGEyL02u+?Ll{Y4%P!(*
z9cEdMl>8U=4V)ZnmQ_(^)Bv1(1w8#uK>!6*>)DsP2#`bPAb0>3(i&<f|JY96+{|n}
z3%vXwCEIGh;rC7{-==284c}xrxaC%5`Qj7^XUK*ADOvl4T2VoK`}*~Y9;s40^DX;q
z1w87b+v<rw`$2X`g#;<iOiLT#5N=xR<E2>eT!EROfAr|G(k+-_7I3jN?c{rbbK|dA
z&yCQ=FgbBH7kO@ELa_wWu|R1{@L<$>6&2K;X+k-oT6Kxq5BuI)pqb(%5T_9zr53nj
zylU1aiHz+C*?`kEEa0PT3I=+;EtyaUiac_$aY=v8`R5{SN&!V@wIn8iT1N)*;fT&k
zjg%66fUeqPSEaY&^PcS{Z5P}Wk)jd1@GAjA0)XJ~Ig-~CXAdz;T^==2l{Gq9_V@p6
z|H*B#uGinwu)UzAe03XB-ouPS*@)<TcrZ*fD>KuESWpA=-oZELr`5&J*VotcK}3bW
zv)vOE2PxoP#lY~1bCMDg5r`r}&pU@PXvJ<kJ)yxq7p-LQiZw8n?CqyYlAe0pIA0gP
z8<-33_V(!+7&CiM5KOUs78$8Ln0#fGNV`Rhs9NGcaLV<wFMtW&#V+XuqYvA@$j@61
zp1jp4@1aS$eeT@3ZVtzm_t%wA6FFkdxeu(Lu`7Uc>hw^h8`z0EXO3%0^>3}lykaGt
zOh6A`L5@}UvSz?8X#)o(5IKysHXT$}^Vm{sD{G?1IbUPUHAjhxi6z6xP%tuVaq|4#
zt5ajD6p5l`x#`>BA#4{1-20;hXy9&jDP|`>ol`Vv!wzolFY#9F-i&)~mL(0F%JmBP
zvh=@%kAku?85CzS*qAFTQiCSAW&dq73Bw~{seWOv?oz+Sb)2bm9)FPe<cXoLTKbbG
zkf}vFV3_0ET(ZROKlyyT1IPqdFk(@cWGZWt96!1G<jLpN6z;|CFA_Q@4itqy0e?$n
zgHR7D;UZbAdrQ|Yt24sm2Smi%1pH3Vch(o!=9h02-D!VjA!~e`ps-^*I9|A9OWO!f
zaz2H#dk=#lBN4_aSAKo<|L{k8Omv{zpwVdBp|RmP%3T?5{CEHuYElAL@#H5nxThr$
zocyk^A%?iJTMT`i<#T91G(9kVt}W)&x(w<@{l&?L%k(JWy6nX=Aw}TgCX*tFS)E9y
zC3CD|go=44u0|mqa|Oa39O-+u&V+&e!O5-+b&$PPiZ?uaJx{n4=oP^vX6Op7ZL6Q_
zo!imdgxkTu{^#0-qnP6e8as+|J8o|8uS3TPXi#wG(aa6XAp7f)LXa3GUXa?a58p}t
z+GqR1<#?nNoFX~}v)R<n<Xp2_#Njq7U#;+qHnoT<FLG%zOVcsrlrAW_hqWq@e#hHG
z4C%@WYft{3b@Mvj##5vPt}J2$5e;(ah`T!v;PK|Gl$SOa3WD5oN8$Zr#-cP)Z;5V+
z<03fe{F%OjxQ!6z#-=Iw98;vDeL9%SSURvizotMF;Rj6N_7FQJMH8pzml1>Y%-JjC
z&DP}sw*vR0DW{p!Zh}EKocOH9{hR9ltZwh#_OjnJvYmp`!ZRri=2exAa~t0~ZbpjB
zqPZM%%D`VNc<6=3bQF0lz+xq8<t`?Bk7jr{x@)1!J(;eAAgRaxFlrR@$s5Jn4!%%J
z=Dt*0=H#7O-?(nkYldT%^{*t0Nohngh9`eswlnq`Ql?)&Umh^iqL$2o@sE^{g)I2O
zDlKj+cp9Bo)#3>IH%t*baXR-g%Ppwy-r^=U6d*8sx;dZjR^SeegqXdhHl@*2CKT4!
zc<TYPT-$qVDkgGJj0hc8-8<%hpi*V&e=(4CBHFf(#nBZzM`z(zh&8xIS0<b`$cv_3
zt1hzVKKw2>g5A7P_`zrqMwY@o?JI)1+9r;UF}BkrD=5TI<&Vq;0hpo4)TeTrb!mow
z#$-O64y~>uIzgv`{4}ADhq1;6w-uLkNSj@453H{A1*MS+LO6A7ch!G4b+6>-A?$f_
z!N+ROk`Lv&-SR2IC2@cH#n-xPtM#lV%s?xH+O!&swVuHaBF{G&&{E!ske`a%#NEpf
zF!G$UEYYHC)#u!x-M+G88;5tc7x3@0E#A*E&79Y!T=U;0g*Q5nq@*69T)s^%ML8pe
zgPC&Ocu}^d@c--JzXo3i{Qo2D`Vf{7Oh6e8gpj?ZVg>0U@u~io=6o^zujVSgSG3E{
z@OE^dNU=!UFmYJlj`6KQKZ-wApSO{;Ut9Wvc_WF15LhORhX+bw$ZFeO{jNJT2F?Fi
zu2SfAOu9tRaJ6A8%OLlQtrjh=`q#4OLt(-bo$CwBLuYXnu#TNr^Qn+39^)l)2o|2<
zthS3&{-a-SN)Go*CPNnO6v0(ZiK$=H3L!{Z=M4wkzplhGtx)dTa6LrS*tOvh@}S@9
z2%VB}1XF8#qcHJQ%CXCPO!ptcF$KG*==()WP~QRc0CzWzA(S4U^DhPdS~Cou$gO9b
z8js6wg%j46a`yi~2uwqKqD@8`Ub}ZCx(8X4q-EiVuNu4ryS@{=1+m(z?~;+|rv#J!
zY{B8CzIy58l>6L);9<z@H;49^trG~p57J&)^fgFf#;goY<FFY-YLjQ3NPu`z@K;ux
zoREPNYGns^0zR%BRH2HBGa9L=!{N59fY+C^`?H*Nq0QIwVi4BnUZ2&g^3S+d9#W{I
zCgR0H>E0~&*Izj*F(ZR}&WEPR@MkJzt&#FhB<U)dUv~w-LwVq~+h5#6Up=CHY0dm^
zh__~;NoLHVHKrfYHC*17;+4Uih$b(I_Ip`se6jBDnw@S;x59$9jrrQK?CDZPi2Cfv
z^ro|i)BkhFe;C8jdiRVM*<Zxk`bwN%Ku?yjQ|SCvq5;Ii)U9i)lEY=au|HF14X*yq
zk4&9)A8=9(<?8>LD7`ZDyX3OkwZC@^SHwt9O$93#{^Iuen186=_pO$FYXYU0zClMS
zhxrX+^NhzHUr@_@EqDuOFU{t;1ub0j+eK@QqC9IK&`b}c%#PH?NWX(6-gI1nGR0Px
za*gJfoB(UOSnohorMEl)q8rF}g@5F-^Wn0OHBj%I&;@CD>(Z=@lL{szu80ViawOYo
zCP_pLVY}9M7``kB`UdGjObWVtgWqpQ&eifE21D;H50+7Fg1H-urnITuXe&G8hs*<k
z^FcS)%4A6rqzVc{YUys$vS7a}aubtBqrVkj_EVZ6(%7{GR>29OBC*$a(~7wvJX!CP
zLEzv^j?Y*(1}!mUxdO)9N+jZpC=JoY;r=$YhnTEZ@kNoRJ|j1{1$VeRc`!Ihj$gSR
zD4svf`KYhFDN;l=&<4k-E}<BIV3Ua(qFuuki3fse-8kd(=%^7IlW?psgM{D#1YE@~
zp4bTkS6kUR{%@osq)jvRMqNTR1Y!gSf9a#r@qJ`NlK_-%5wG^9+fBVP%Ls1iqWUd(
z;Z-+S*X#S}MV4SUj${xn{=@ad<g_VGuA&~EOmN?A0QZ9=i;zRbbLpG<p^017Mc30p
zdB;Nuc79tl<c|jt%Ki3E9n1MzbGm#L1*Ja|^vlqu7bR|CWc!8e`2Xy<`*A}|dPlDd
Uiub5ln8^Rb#OzGrsawJS1sVmhvj6}9

literal 49416
zcmeFZcT|(zwmup_!AAL11Sz5tKtVwi=}i$KRO!-DM4I&8K~w}O5<sM@1Q2ObLJ2L3
zfOH8EN+2{Tp#`J_2<5k;e0$$L#<}~q&lvaqamG0BFeKy6n^opovpmn7%kX;|O7zFr
zjzJ(0dYJMZZ3yJBHv~fS@CYrqgM0IS8NAUxR8_hI-odq{P#px`jyfwFx<MeEVU!nD
z%+!h%1ack%yK_s|J9S|sz+ZPgZGV?UYKJBb-)7?faOBuAyFNV(iofuiz5x7Gug8u|
zpg})=Ky)$7Z{2PkZfA<?c62D%E-k=1xZpDMJWbVKy@n~TSgQ^tVEDiA7estKe^HDY
z_I*TcdfLB84laL$=I3K&>7VQV($nMZ5~C?@(_h4sNd7Z!(BH%S-#`D~NZ>rpjUl>g
zy5r8`Ofk)xaqd-!Ah>%vv?J*T-|6r>H4W=gcP@6KJmw1%-Q$p+(Fg~4I>RAq#w*6<
z`8>t}X9P{e`;5rk_KVDLQB@QlTa;{EZoxciMs+(5Vc2cs-V>WabuduNwBJ3MnwrYJ
zUPB?cRJSV;sp+@}&l|?&EiEm3jmYuHjgzp$@W(2s8)+K#^Qfhk!P!!aFHg0*R`F}n
zPU^<SIB!@#Y}?ApYAR|Mr?00srR<9}BAb3SJ?MjG3K!gOgo6?;*gN>}C$NeA2rRz8
zAOJ6fuf3S@x$&X<qh;h}Ew6hf7YRP=#)H!FvLW(g0&r^3BBQ8?2;xKcEIWLu0=p-E
zGMr<%hB#0>=?P1|Zq-^F>U;8_k4W3PtKB~`=280a>Gq^k;=184l%W$MqN1Xz{IHxJ
zzWn>e50x@Tnmk5s!UbQit=NccWA2fawZWjB@{vB>Hf1$k!e$q2t*)`AZZ4E|EfEGi
zBM@GZ!d!W|xrQlGGt_@NLJy4Lm}?Y@Jr{@0&Y8K8!vb#=Kn-D|#3~{~PS<-@%Y0~-
z_GNC5u;!+>Sxs-7k9ZwO`ULjvF>juZH&Dy=)g({fbdp`yNL9lEH!P3Gw6}sI6uEI5
zmgY9yZVN{=H8rspAbSds=IjgM2lJD6E@QNSp0&*07#?|R8+4v&z^Wht(G%9A1c$f$
z)C~PHR>98B?(}Bu<vgl~=V}R7FyhWd{La=YA8b2!#^?Cl+?-^Xo7rxG5pqr#)>A6M
z`@7-gG_SU{wtDd)I;yc*HhU_kI;1{!=zjLDkB?8Tx3r)~;v-g9F4(7{qES69EteMv
zCDZ=h_lSa~w<($3v!~#vPtYbR8)+FBRA|F<KYpzI!n&#s(}DKQ{QT+fK)__-!n{8P
z2@x_C7Nnp}s`HiWLFZa7hh$z9c6@4-)73fTy;WVF>x`SukD`lwgVpJ}_n}h6elnpB
z|55&ffc+#@=9jkPxwacyhU`KW1&Tbxnm5Rm;BJh|SCK|p*N509fx(>@t|U<_2WgA4
z1qm{>A>XwRZfus`mQ+o_!pzGXFUp$U?x>NgQ7GSxn2qr@f}XK)wH9V-x57YIw-VlZ
zD*W3c*r)vbnnoi(>+?+F^;ua~_AV|i&?Gg-BVi3XpYrk;*+|Nf!p8Z?_g^;H8Jbm7
zF6SAvv$jZtWWEoWYmdefO2f9NT5qY~1Kf62gk<G}jlr;a47E{LwM>$c=Ba9C)pkZ2
z#;O|SO*D5EN<KmdMaVl|r8muNNE=T<TWT#>Z?w(eR&m?LH!vr+@+K+A-3*OOfy9EZ
zPbgx^zR`v+);K?@I39Dxe(_CgDkFN9Rfnob__2ML-EibB1hQQ0+2FNQ*|1X#VXr1u
zHg({2pIxU~vwc>l4;LUwXDuB~%byHBhJE_<3FSxLSoCUoSlp$u-2%~c$^g$?Wqpz{
zJ~Z8V`QD{oVazJ^p#Bctxc;h;kont!l?@XylKxql*9AcA*9-RK>YYv2kJp1CS2wWK
z^Mni0j@wHt78rv~q}hh`_A9KOJ$APAIz<Flzf|k1iS3G`RdU9YH=hgnVp~npem67U
zLf4hF^V7}Wk@mHR<=jR4T-~{-^y-Z7WuvTao?Rn-4Fosw74ID_SkSAxnX1ssa&kc>
zh+yIAEWGF|79kB4Bd5qJ@AH-iD#@DCq>DDbe}A(aAqtz4VUdsup79xd4Q+P$02;c)
z%*@Q9g8Jf;Iu9M>7OB7*xgmrPbTZP^l7FnAuuy~DatV&GxVDLVew;-k0pTp3YHnz_
zMPu2n2p7F-UboXYzSaWeV3=XEd}CzKLb+3mU)0Ib7`fcCD($2}EC-_HfX#?U-*~6@
z<v?Sbct^2g9;PHB&+hw~@w#`Y;$q=(R3RS>J0xIdZ_mEH0fgoUJ@ZPB)l!z=gFn;n
z!5q`<=T+g8PJ*o)n@YvY?lw-YRP!J!Dk|i9y~q=dui^^l@jL`$FeTNt*4FYO<BBCu
zSX#@YU*REg+<*7WHd;8gc-j1QkK6IJLFU=g-Sd5YeT0&d5>2oZUYFg~Ho}~Nk$6sq
z6FfXTh>tQg%@Yz5N}(f5;+;r(divZwGEi+&K5|r~Dc|wQlSr6kmyw@uKtRBJY{t=p
zPAn6g43@E2Y+<Yjf(;p~{4K5wG2_|0z4j?Lcko>US6)FuL4X>@GL)13&o9seQ^0N>
z{Q4U9ujPZq3)cMKj})o=&y&MpB{CQ{YeX3$5qHX{yElskcQV39KWB!{WBr?dfU8L%
zb<>HwS}0F}ZYf{(_OxIvr)I9Wh5G}SLfPF|>a<iA)}&L1DRUpYcEp<sQnxlgA}q5O
zNT$N=VPbpDCE=g0w)VwnaPl>usI9fm5^{KgeR1Dzw7k+<ujjOZx{gV`c!93<>19z$
z5Dj59^}l`?vZ)P2cYlbBaMyAv<ejE{lwWo;7Q2{Yj4YRVZy*VmEV^X<eNpV2_7Ib*
zts|_kP6By<GBg^Foog&dIO56-7@h3<GjBA<H09Dz8vV>jB?LJyAo@*vd!p&FURV0N
z>G-||+|au3m8=`bo^Ef)Urc+GF;bB#pt{O1Y=MYdrAApB6*~_6$oHz&raM#~>M%+$
zgkcgjFX`HTu6`6yD4c8z&(pbm3z=P;pUwywo1I(B$0GTFhzf5y998c+KG$NHbr#1^
zp5L{4)fDBYI)7m%9nSuvr<Cu}syi6c#)YxNkVj!i6~o-RD%DqB?hCjbS3m6xpHjn{
z*5`6y66B)Aq%w@vycfOq=5{IXr%TSxX~TQJ{N}Etvat;q55FJE&|}j5F6`@Xo#QB%
zdtZ?%vkc+kaMU3p$Gy3Cf{IHDVzCzRaCeF3Tn=N8=dx7*YLtf2D$v&Eh|&oN<l41E
zHIU$Z-<?nm8EMPZy~1k-P0IF0r%(<(W__ZK>syn@8EpJ285<PV2ck7PS{dgu4@)RH
z`oG<{&^((ocxo-QzyY;WL{<nndP^zRmIw9F-)#Rq1j6;unq_)6dGa>u-6eyHCqsGP
z9^gZ1jj=NknAe5hnI=Tb`PRFfDr~+SqBes-oY$Cu1u2;;KlMsiKfao{G7L8Xec71;
zNyr5TRda9`NO)=M&jf-=?hU{B5!A^qV`0^I4@cDS9paF4j_Svk^;NILV?;H-P_<J*
z#0QiU*JBZl0dv`Ok%)#vHKAAM-7eJ+48AWt=E|^n_&5Y2Urw=9CHy^f_@u2{4v|^W
zL#g^0%4RTeOWbqQC)6cZHQ4Su8W@Q=KEWnrUAQXiuv7Oczjipiw;;s`DKk#M@#$n!
zL0<e+(8gMSrq!Xf(QNHOZ6MBxTbW>Ez=nG#1m-5Mzh1u_3ANgOnO49!ZwvEsz~|8y
zm!&7m+-g+Xl$ZOl(MI|Pg?XjwB8Jl$*Q%OkpH7$r_-fasZ@$wR70*?EA99767V=1B
z$SQ!={+d<ro5gSe8$=At%(>#L5D40tBDuRA&T{$9GI>RHr3Q<(d3@FhpT>?nn70@b
zTR&&=g12@Am48Q15yFb<zA}H~e&}VI_!119QIa|RZ4pNu-604>=`7F;3*8f>24B_I
z9u~3kkC!agUiCC_x$rDn;4*ZWdRre8z7#B?d{kmpsPA4DC?KlYwa}&UpI~J!^<{y)
zuo7wAK7qApgTOGa9F8{1<k|C0bM4ZArY+BbrqPL%=@9uau95Cr=3ZQ7`=wl$f3Wbe
zFjVd8ow~if)v3`Z(g+NJ+{axRK4!+*+m4W61$IJ-Z0OB_>+-edaNX~1eW=pn*;zM)
zf!c5!r8L?vE#Q+>ZXJ1q7BBmgb$2fEsIRYqTD@)beC-{h#^~<U4<;kd{vnUKo(t5_
zKo}el_R9?AC+-zFgqPu8W}P0toeF_iJd146%qg5tzet#e^F!0l6Fgus6-eY&M;jY)
z@1!>ffIISmWA=rK8QRY%5AhNR^5>V)C01=l*VhdzoyT?U7i02~2FgQM2<ZTZv|orO
z_``zWA_8ntj%?GHsnIV}^j^DthadOS=-3MzF4DM+F~~X1iQLd8^<m_^{6l2>iMQn-
z!Lc_nH@)eMu{lNN#HBrP7eZxCrUxJqAavrcRJoRs^QeARUnR^wH{rC0IoFIdOpaer
zFmQ1$ujt%py{0$^13*W23y_+I_Cm3`=WVkQQayyVYA~_k`mU#kkE_UZ`Sq;U+;nho
znB+0#BP4<-L2SdxSWhp3n_y_a=yj9=ZGso7{Z#V=eLNB=FSB_yTODa6aRr!MMjM<l
z*4k1!t8E|UXI_oR)e~pGiz|IKlBt!-jyU@M*7L7mtPR51)Oh>Cs%dU``jXFP(!EQ%
z98q^UyH<HwE$c25;@u^8-S__sxEQ-;3FCpM8`Qf#_)o#2p)6oaAP_jFyt-XsRGYCj
z=0?I&EUIlAaebIUk9PJs_8A7t-`>~<l;jAT4iB4lZamJ7MDDg(Yr!vqSg8YEH-lP|
zQ%3y)GEA>~GFZ}~?PdD{z%@Uf%V`>kMF3-lLHl}p%V68d^C%W&6xw5?1T3+320<{P
zO!8#-+OFTqVVGC#uU3I9_=fVx)Wv)x350*;-YXM7wIp1?@WvD#A=<W;F)}?W?p<Xe
zNKO?)E*R>G3I639IQaT?)4(w^SkA@{X`ka^kS<(1w|A<R9b0HBr7)7`zW;-LY2yJ;
zK>bWz9{07Tf%KKAUe0sumT%ZB&rxu!)L1D+1e7bPn7IZ!M2ZxKi)dnq*F~zd;T+9L
z0)*mphf<yv)>Z#(VXy)ETsUCKIH!I)*#61zJE?d*@SEd29-T=yaxSw)eJU<qxeM#z
zF_n(&k^D{!+9&r&cd>WpN!C<YE7?r<#6<p#M{C70OtBOJ*qJ%VCbVZBqsDM^ec$oO
zat2nX^KG47pI6Do(2uT*RVq0pq8!)Qr1@T_bdVyk+xu_LN(k#u=;<PpH=o6*bxzxJ
zZ><JhJ?d#yb4GMbz__q(rCm=9{}+3U1ZOh=wT4j@i~gAkxr+xlTc#_I@enoK-2lM*
zZ4jo~C@3h@fCzZNh^)At|8-s3>9G@+WqWUW_1XO})+2{J4efadYjwD|{}f7>`lqY%
zSP>OAA>W!g#o#?uO6ugFwo`DdwSCR>;0)oJ9QY(|(YqiqZ@K@bW98&?o>qH@*6G*i
zm#WMOsUNS@SubqO9=<r%Sp3cw>r<hO;xV4|(2#iEPaA!-7=BbJdMy<@)DKO&2>=<Z
zq2;GL4H3)&cqCR34z*vr(b(81-0x9<EZ4*A!`Jpz;KGm1$Av7_0yW8zqa{;QQ|p3q
z{DkV-y1Kwb<i-hmhpc(jWf(m`?e_NeTnPZ`RNlcvpirm;xSFD3qqRwYK!eAKe!oXX
z-Nul;=J%z+-{B7gB94vBWv+qi8XNlo>W3cg2)HOz=%8=2%Nd@ymf>{fx{lgKzt9o<
zyNde4!b1GaXPE{QcE4$Hc}2zN0=d$$%4%;At*xy9K6}wphpZYK8I_-5VNn8{#S3R~
z=`0j#`<+Y7H&(YIq~}))GJP2An_C|zoTlzge~Di$BE!nQW+%;9?gAnCHx&LsN0b}#
z{AF7N?#tKQxM=&30;)q#5r?@6IIz9ezL2ezQ4+rqc+d>i3V!`fC40p1w5cAv^Eb>s
zihx&me@XqO+)3~;Ta7iQTCNsmSys^&VGDp^)_=1C{<$+t0<|~*`3sOG*v{`FZ;<7r
z2EvPwcFzAEyheBB<7#|X)7kz3ukWCbj~+)Z;C0Q+WM}(F-Y--+Ix4>iX4&)l`l>!E
zaIL&LD6U||GfZd?b;Ntz?aLhld(Y7uf~ea~Ov_(MDx+ICF6&1t$nMj1vvK<1cXeW`
zazSO@zv8+)A~#$h;v12<C+U?QMsCfd?-$OFyiv)*&sLGc71kuGXO`wd+W(4a=1N$r
zun|Gsf&W@v<x@SzYH2p-PztOM0<qroHs8#j{*QG)7e5cKPy$<nuXndJBO0jC3;g2q
z=g*x~?c#LtZV$?6ywgeaFjo#f$zTb=c=ymr@qSo|l8s{l^6{AUpEe*C`Dfjzisn(~
z_kq__T%GCan)fjoLoI=QIOCh_pZos(1w5_}g_3lLtWt$P{W9jn0+>rZ_}6jgK%lsc
zk-{vnp)&uiUkzsTH~zcmI~%Mkn`I|pC_S#RMphTv^LQxx-iBKin4XTh%lOGWB{7lo
z61m|6v-V4`X!I~;k7<@FKvux)R;7t?l3yc+y`=*y5F6kM+jb;gZgx&YIO*x?rm_Mv
z$SLJHESP&ENli93t&~F8gUk5}n;Vsr^tt^vh$0nVJ#B4FHT;}tQ>s2touF*le+R)i
z96N!E7{VRBIA(@kym+CzzYBbhA9l!z%~D@XRI~}2W?diyl)291J|BogDc9KBGaQRF
zthQY;B$F^in4crfneaQ(FjZg2P;DKZ(p#AEIl>UQnxQhH1I7R3I~)%S{b>NgAwWT0
zzb|yo|9+$h;{QK6Jk1QCY!RHUugOAXXLLP9T^rT|wQl*A#r$3b=W8JJ7muj(v=TRO
z+8eRqqI-RqYB&G!!Ph?+dD#A})qiu4zdHuML=>4bZ$$PPX9jSfKcDT%n(NC9I1PbB
zo&{(QOgs#2oE68>Jd{NF-udihCrZD;#m`P2*aOIz&hG~)WB3m~e(9E_JPFX^FAUZW
zzddr6l=hbWM^Hz)GrD}n80AiSgH?zY;}Lt8LtZER7YMjP&KrW3J?Ju0>vD>ZpJan*
z*N{SaB4R7+eQ0^W2lL=mTN4O+nF41hJ-rz5d>C7p_BQC7r$PJ+cf}V>6~!{SL4nnZ
z$9XwwhznmiOx;YBSx!&Qy;1i|5Lc5w0bymMU`cSv9{TqXKgeD7tJGuf-Js%91#9M?
zHrkzE61NPc-FE88RNUdgERd3D@CRJMjG^f#kF0l?8r5W4j!q}y;<npUIzCCPR?^(=
zMI;Cs*W05T`ZI27DTajh3|o`Ft^cGGMk1us3}0u?^G(?UPJ$LrUV`};^{4mJ<V3PB
zgP5@7)!&WBHp|WSHr!|;5RbW8MV4jXe2)`d)N{}=$&jlX3oZ}K3zxd*)TB*bDss@Y
zaqzpH7~R%G%1-1E{%KmySNJYg)+|+OhlUDrqUG%gZvlROjrcV^OSLQn0iMiLYf%tT
zR$g9yK_}zCiD1;S%K>T-B51-ND`s}9H%KY`7KJ%wL0Tg==(62ZU2h7=ee_s_1?+9^
zF1kjRO%KBwlIJsIwcpM2P0v@p<JQDX7sl^-sHOzgSEy3xgpWUed~s-1QI(z5^?q3A
z`oeIU3UbYzj^(>V)7AT*$4*+d>sz*8gq89<2N3M?lSsoU)Kb?r>1bF(2nfhOA~!DE
zFY>^TK|A8zttHa}`#nbDZnW#n`QTI1X9{cq|0+a~gw^K*>c2P$_nW@$GP18%t^93Y
zEpa}I5_AqJNnE=2Lv3@?RF>|mN1rFhPktBH{-JzB;g*baX7%vbi0RD-<oba(_l8Sp
zQ1a}6%{i+><pe$H!qIFf2y1#91Om<5B5WSoxw_w3-I5TMh);lEP9Lc-zjB5gfyjf_
zj{D#vZA9i+Emfeq_qD?jGg&l2RVR-es=Ijkp1%Hu1&CYu*`n$$5CQ>c<c|GL)kTix
zlyXc&T-M1R_H*y#ph$X*h01N&bwKU-qd0xk&puO{I%E!=e%E{PF&o$D%mPzFL%H7*
zrLgR&!|vLS7V?wSkmzWT9I5+_LR5GhigI(e^g#x&6l!d4KB@=YhYH3N9<Pzp=1abF
z@vml9H>a+RUm#laf(|ApCzk_6a}yTy#vNcBtKIBsUCf*^6hjigvOt+PIKrSU9wR!x
zVa=Y)%0y#Jrt{G6?O>_f%CIAP53miKFipO5yp<zwl;@-F&%H}V11u|+ZMRGt`lVc#
ze+nkqOEmJWPanoqKUf?>-tg6*-+Ry)!7R0ntbo@E0Y0q|k;oucFWh8gpP-TzSyog?
z)P}_X+?CI{bN072ZTd8h9orqj3o=XGojE;y=_jj?zOPU$)@#&04r(fK!Toz(J$}Tr
zZXDy{qma%8dChr{2&gP1%fP%)g?>u>3BCx5$Hmw9e1XH^$Mcc<{Dd?h_MP{d6@&0c
zkv_6LZ_{UL=ftC-9g7wANJLQhor@Yoelz>U=WxlH_M{#VX!H#XcxR%7etEj+YXWl%
z3<UQ8J^{;(le)e{CQq1j$b37DJ&Bzoj0o$g9l89IV{gvR%gMG6aDVWPqKkE4HQ|U?
zs=wBD2|NnYz7Y8$uyB-cwYJS;1PR|WxW>9uIFEuu^{P(<{#^@T@1TuggpS}Ube{@8
z25H8qq^9GCsH^jlaChI)MUXAX`C_q*i;9X8Q}zAkF+zZ!F|=n<y!e;X-p*DWbhmf4
z<}g6JX@k<uAQ-7GK=M6yYv&$hjX5m0{fZb(fppzIJFuV%yS`6BU081<=T+-{iSG1*
z@n9`Ck6VQPx>CD74-k#-*4N8jW}QS*1*uN4XtYoJHKFdzgm-z0SW%#nzjV<o%1^%_
zIiX-hGHADS^_N#&V!`+iC2#Gz=(eLDvoB}Ydt}F3B4W-QT8}w(+}*{+u?bZVU%PF8
z+t!}>9J;X&bGB7sO}2B1XHs?tzmrq6|EMp@3vt&~!+x>6O|W{wm|KDmY^`Z(Jjm$u
z^!0gozJQ1*VK|yyqT|YhoNqS$G`6=Yh_Yf60vAZWWG%faSky5$uh0ANVd4ZV231H_
zfEh;#iz#Jx^Fc4Oo)C;J`%qZum<81V$<R>Y=@fXj@~5trmaQR7mTCp#6h{HFUuApt
z-Zq1wbNjB&S7H7nbN3R2&?EaA45WyjgIy&Rol_!VCdp^;C6bsQ9ONxg)z~`WcQ?F2
zF~a!?EAf!5AYl@S&hQ?ByZL4F3&X<_VOOf0XL={{yAtgq3$JwaBxHpOlsXSq)=(wB
zsI)c;UrG{<&y?D@&$m1no8IG++7AUhWpkx)f;7<G9DvXnLBiYJ4{Q{Ybw)tBEm-6#
zu>K$|)w)`vew;;6+G^|96cIMWvcP6}eNVj`gsNnYb7d!T%ga485p86rqK_Y)c@p?e
zhPS|V4Gn!>AvZeZ&pQXIs<vS#CMJ}xCk-<(gyrZO7%*D-=%`?9Og>+=K0SS?q}5#r
zD!w!Il&(4U8=vQ9`eLBd*>6*Z3|;Q~^sbwu?$lhKBXX0iLn>EryUDCNK^c>86ZFrp
zSSK&lXEpU6{_4`s7S%=IMm=PuBs_!U3jwR<?-5qrbtki%>|4>_-|q$6-UU=up$Eqd
zWBSa<1p+VZdef6d!!J_YJ#Vo?;WA!gCw{U5JfS6hE=UE#qF-n-DB^^#d57GPwQMhF
zdvg_c1*WH`=jAk7x7&ID%7!6K?(Blko5aKnu>sizWJj9LyL*@1R(R1$Dx&pT#%5-9
z*Ni7ScGuy?R%`MU?AaE#SUtj0SUWB@$mZm=IZ*+%@^@-nb_Ygl=+vjdQ~k;1&$4F@
zum8-)P_3&Q5`r9UFwu96D$;cGTTig`!;EqtYpQ{G!B;9>+XX%Q6;Qd`+=nG4oSp<^
zB;c?mRW&s`y-%XNx=U3Hoe>FxY>cc|yBas}F8w>LWROJG+5BK#(BAj^erdY*J9hvE
zSE|m+W22Bxx4IIcmTDqBoll=WHSk+nGWJM0K!j=mk;2xbVN;pcG%uScV^p?{Mc7O)
z!nU@y;&={63Ja~56LP6)@T?7u{UA7e=l^imaily~Z+|5DUMs^A-_aQ2!d`n)3EY~|
z?DL`_L6tpa9Zg=`Hn!Gw>9RAx=z!$R{$vzyExzUA1z_|n5K+0H0;D=;rvB{wk*3KN
z{AW*NV)@svUn_W!Fn(gywIM3$F7gYgM0A|6$Pz{SZo|aHqutV?cWxNi7fj{kfky6i
z3buDwXb9?$BsJUW@1cY8ky!!-)}GDlwGAd6{t8#J=!@g0-~6;|G;Ais%xGYUT}dCw
znrHc7zTWICofJmn?hqh{baH#Se3$m(=22oD8FKY^;K2L4`hM*<CoKehsL%waZ-~_`
z5qdcE%c!79rSm5!sD;@90F8^)QV?Ed3zS9ZoZ}L(DE5(tb_J%r#-j%CY>hOO4t&N3
zpNe+?`$+=c>B3<xpZAmsgw{PT?yDr$pj4$!+ScNeFzQaokN!ZOYo4z}o1#1I`WtUF
z+XvbzpK|3mOuMP)GGsKe-Dx%=R(t1EXxQHB=brh!!0k4^)1O3UzkeiC%Yb0YL*>#(
z?Arb6bCO_A*S4E<>G9j!+oph^H802RsbMq$mew@s@7q|!S+&<`%I7J(|1lXr2E35W
z$ybg1k-`}O7QdQDMKn*=R^x!=5z(J7ik*uYy_#EFTf6(d4#y&7mg;Uw5`>L@`uOp_
zk-mO;zzE8tLUm4!H%{{r2gn0$hW;Z3wIEbQ`qvZ`P2a!7x-{x8jFWPnjk@}&d8-kw
zy>Ll)Wk3B}_drHyB`poLi+IR<I1&TLB6-R#r(-yk#*Y!f#2^e#Y6W8n2oQ2KMo*^l
z5JsW3nM--qqN<<b+}Bej-1goB`Y71d<6p7$$kal)GD-+APeploelyN)`uh5vaQAA!
zP=I10jxrNa4;9#DL{_(Kp97KNTf}NUG6&d_ipP_wV7X@hk=Y`r!hFYvVPqAyUeQKI
zyOa`|daDL<cv<=&b5FnK73qh#*OqJT3rFXE<qPi5JDP5`3U&loC0;ZhI-R6{QLI66
zkTMAlQ%k$UPDN8~iS@jMY&G(S?)EHq?%0=nwy-XTdv<nqqRNuPzu1h8jmd8j&9qXY
zK(x!%i{CCLFi$P{NmoD(N`Hk?(7;U0=%`?`vVEt_$DjLJlZLk4+4?fxbK+CUAq9u<
zX=`N?fn!;?jqCz^R8D-k&oS4-lu*dxPE-p8Jy<}~4C38>lqYR{$<z<?dKZY~%YNni
zbvnemLZE<MOmw~#^ZHDNsM()v=+p+naisUt;!({}*`(_f42V{~2=a~)@mA`y`pu7x
zW+mY_y-#81-ji@stb}?`k0qR=U-Uv<!J_Z-uBVLqTxCFBOd>HH244ahsVWVxY7<NM
zTOji*bJ<+e|3|J9$X>l}xK2S|7Kq;n&j013yz-^kfpi~fT)?fTvVIKWXK*v#$-az&
z3W2y3f~R4)%5SLposs~BY`$h~VXN_pZV@-o!Sp=s-<SodK=;LOJ2V?<|JURb$QEn;
z#+J>mt1HUpw%!QB$Obg#zwEpQ!w!P2u*K1ouE(vmMafK<E-%kd*_R8Gvo~*%i4wWu
zmU3X&5G6`(7=jjtIxq^Z{vZ!XRc^g|#*t~BCVWei7(o#0aH&mH&KnR;)``z!j~4o|
zKxLLsk)-^_vVl1Gq1N@h^E0n`Se8<a{B@^m{&@1Wy~)td2W@wLO5M$ns*?vVi`h6z
zZ{OLh%NQviDAzTS{|*@c-)AW@`wv)){}F=vO|2-sDbwyqe>;~_z2+&MH4)tXys>I~
zP3f4stJ!(WjD9H{KtCu15tQv7{^-7WN&yx4Fy!g<vRhXEnw*%3t<uE;oCd%C)UzL2
z;@lM3Kp>AAfMYc6mr=yLpc2`w2L(V~WXG5P??t9P=Rx3@YFDrui`+N{OW_$g6?Hd5
z;#+arKUe@7IRTD&X@LM+%TmCtkjp`aH#xh~E_q_R(Kbsma}1sMi%9Y$Y;+Wm&pD|h
z)|bl}ZZ4?Ljy{gmL32n>1^8QsA(r0tmx{Jo|H(xJKcVF0q`PjwU8CIrNgESD{&z*H
zyE8_gEpCC*M<?I(itK^{hZ@8@bQk1+el_hm<N=Qlm9a0_6&x4b#(`Q85Ij`zR2jKo
zUA8By;?~G+ymNaxO)&U5JT_3C{0xbjAJJzPzgsU|tDD!Agcwbi(K^oitgMbZcXUym
z!?p0LsjW<@R3TAaNaE8B$YFykcmWjYIhmS{NOjxvK0-ae{eB|-u@mrBwfKL7|9Ln+
zL$5O(@mJJ-m!H4zg~A4d+=K#V7dynIbTO7Do%EZ0hUsLhRgpfXikH}dp{tsWWO0U<
znGw|p*%d~*b%7O*zSWBC<ouG3HyTBL%!|M4PkzM4#@k1N0BJ7%-n{}_V(^Ag1z$oL
zre5tTmauh8;x4~)<kDNCeCp=e@U*nEGce;k<I%x9a(1H4Lua+!qTk3Gg05%+wY3f5
zjSr8jle(}(Lbc4vaB%=8Nh;csX@cg(4;vX^pbE@3ZtZ5jhtO;H5Wo@uIy+0&ROn9*
zRDIO!wR^unQH?ggZA`DJ=vO1Z7~yG4N@d?U<f%Iw_w(Wtz|Jo7R%)*607G0)5=+r@
zn|4W#FO@s5ZbT?qucnpu-!(j?cY0ty;EUnmThBQ%o4q{eHsT`mPG3_|HR^x!BimcW
zOYN%cyM1#>)c)B7<{6I9GUo|#ldHO*b_k;)vHMA6r@8QLYlNGJnO3xsHr<P+->U}M
zbbgp*#%QT_2Y&ngkJ5mOBGYQm7bpY5-g~j(#Riq_z^(u<h}(UbN|yHBIfj@hVbv(%
zKimWUtOY`5?^e#abYYGCfKF(w^AaL}=agN_1RYX+Fl2Q5xWwJA_VjmxU30(cm$1)^
z7BIsGo|j9q)Ik}HE7|nWVr^j=H20G8avOOq-KdsxSAVxILwP>QR5)Pw+t&*+zZpj0
zyEya55`LnV4B?O2EYm*%JW8zaD+jf~>0Q13t2G9k&9R88UC)9yYaj^vMlfx(FQ~nz
zJp%%!WKe3&2C9VPMNBb`gHr6aQ>_Ugsq>th4ewQG9+yF?w&IqU`uK07k2I0|Do;Kc
zhv*!}fpRg2bw}x}vJRckpb|B@OfQ;Xa08+AfK;!?Lq61!o^Zy&t}iqvT4(8jV4bM`
zeLg1t@#icNF~hDFb+xM_HG(e1lAEL6d~Y*4`d{pJFGi0esWM98aUK1Qwd%&J#yUIi
zj_)N}r`9~F6Rim&9$||yfBR)$a)12O2bQ{>g1>h2@!j3y0dqPTbK<V5kiffWffggb
zSHgEeLFxNFa-^`1-;!f{uNc#jg%Yd^h7eG}7uS*jXeK9+Rl#2&{MGM~qiXaBq=Z0G
z{nqM?CVWk&YxPWTU!Rp=gyfy7s;VFr-Z-v~>9<P1_S)U_B%7%5Abw>S61^e!c3rZD
z=$Yj)+4R`dkPS1@(`4`eLknZ{FXcYOeR9<`i}<pUwl;DzGEGLni%k2qe&|$>qRhAm
z0vo4U&7Y)J{@A|e*VB``yjVDeLeVk27HE4tsdntLq4uX5Y&NAd`o$v{q3lVWwMm?u
zS^X1sZ$rMZhB?f=6)%uS^(wh(hAT7VA6(mxWvAwHC92E0g(WuD=g?jh5+dG&Sx3zx
zAa{q~YPuIzPDI?cY>$HDDOxJ9OJcYDMagkCU0?5NYg28UbjhubY>-`FU$5rp=kI*I
z_HiC17hl%L>gEP)&}~YF?j%eARFdnfTn8nnVw4IE+X%#VYHDf`s8w_K)7Ly>$o&2D
z(9NFhen7yP*5!~h@SJ?im-`9$bo)rbOPzf=d{gt`jFRh7aS^BI2EDY+<h4mE__|4D
zOw(q_6g!~8{thV@_tU>@q_zYY<JQN>i@vkHE_C_&f0AwJu!gsc-T>5i$Ot&sb93$(
zcjGPkS>rNtgA5D|h;9S*Wuc(NR!jv|v%e7$am+y5=VI*JD=+|%D(>48PaLA2sVFOZ
za#c_;8XDI^Kkn?U@&f*s(xb?&=ZKcjMKKQEg!b6A_1M%N&Fg(w&X3vn&a;@wbTtE0
z{kei~evS`FtrLk-a1`QE(4~}e{rw!CLLG%K0W9}RWfc7MC6|?)$c*Avqzd-qu2M#$
z*PE_%fYRuiwPt97wLK_Q7s0tBg&*sbHywvg=)s#P_e8`^S8AKyQu5urDd~cQ?ceEc
z8PO4oNFPv8K2?S^;RZW^QVt%R82CMT_%GA1^FH{_KgHnlR7J&D{8bpJgds%IM-C2^
zKJ~hr4P3@=0_4$GXK|C$G0hq9wdV-}2BIA)VnQ|rwOy=k^Pnh6R8?C~uMd!gPW3m=
zyb93AXwv#=uTFPJeeC_#UH+Q@c^NDg3YJqQ=lsWn4os*q&SN$HV#1+FZGEHBq+U=K
zrpJ1X-*Y3UeuicGl0{@)X_mTNiiAdw!Yv-@JTAxidrCudFHVty3}R>AMmA&P*UH9_
zGAICXOr?Y;z1W-ccT90+DPm4|v67qkVRNA>JxWfTWzlA@QA}2ECFMy}g_Qq_TtqO7
zEXzW~O{-Oz$q&|vCgV)Y6Rba2oy=Dn@(K@%%q2%!DXH?uf<Ci_Et;}QGA0m1v1}SV
zfbXT?NCosNsDw9cx|l?%IF~<v9+vTXZDfxe1;~(mh?&f5iOH4CO!(fJsJn^E+JS+4
zk6=`m?W(m7XMV$BuUg^hhx8Xf&BoNHqZf8TX(0$_KG{Zq;<WU*h(5kiy>v_W{@#m<
z<z<BZp&$P8IK!=5re<uI*tO^x=Z>3y!U9I*U$wrIVNuA9{rN2-O_-g|KTFr|{<Cyl
zDY@vMG|2V%Q1Q*>D=TcLT_XcMnhpi{xV{H;{!dn06ZC9}i_i9GPU0tjfBdZgSv@vP
z*W+jdL#@K6cau{mX9ePpuMgN}9gF-b@yEf9&9asXcnb&!yedG7DG%v@G{X!?6h|(C
zvkpB#L%a;_gIG_{230$ce?8omC=?_FQtw_K9wQC~waS=m0A#t!n{>rFI-{B=RSS@>
z-UylRnGrW~b#j)5>jJ6)2f_ghibnuaC3O*3kufRWX*nom`KT@bX{y2-lS((c6|JNj
zqr%(6D~BmBnk6@l2hqT1Ix4S5F-kV@3;c;Qf@6gr8!Q{y?}q`;R>wj)^@QvI1@qtb
z_7_Hc{7pU5_E-9=#B5Pn!B=h<2bbtFxtDoRQ5h?iiHI>nFLGDzOJ0hWd(8URRM;t2
zMVGT;cXA@5&(B%Bz)X7<e=qaMy~LAW(o&aQ5|1hC=x`;HNX=CtB9FRYj!wUPWzWsH
zICgHO6G?uKIw$eF_^zYlv|}G{zhA!38+WwI#8K(UxSPD{`+MRcRQf-sU8`ONJK)M4
zaJjNea2{33;Nu}eARVz_Zf>42RA$?=g^mVS-d*Qca43xOuc<1WZTYU&>0JS|#qC}Y
z<n0Vsxs9Gu>`p>Q$)EE+QCS9Pn0G)~WqU{0kw|1|$SPp1F3<ND5f^-9Q#t}~K3i_Q
z6d@{d^Cpto>BI$&a^Lm2f`%%I->pMoryA~D?Pdb5-kN^u=>-31-YeW|Q0<4OTQkrU
z14p4Ij-lZv4#q<3@S$)l;m^1bCDv$xgEp*MgAEQIX^p2U`ttxZ;WCZc!2|p{v^570
z=w_er=J|6wSMBVw%AecXN!S0;@O7*IZTLXO|5HTq>C*b4-$R~jn{u0xxtaUJ#WHv1
zLR4>bx$R#j=5w~nY+(n>UY&2w<+`bMF<Nk48WEc;dG(og*DcKEqj1{)e6J*bW;CQY
zfuDq)oQ$)I-DlApV-oK!WOM}u^?lNd*?2<HCe+j$V_As5<g;sZ-p49=(=>wI21~4r
zec3I$KPZ;oJ~B#wA@ztfwMlBn<DfocoEq;c@0ccf;fW~O`J&k6KZCI~NqH^c4N8qR
zlR+#KmU+pDnuAe|h5^#4p3@W4+uu)Is{<imR!VYm$%SX;FPNffvZ=!$EI(Jblx`%o
zQ`JTmE4{zBY5)FSWidD|<~61})(Q-04CzTVD5O#uLot0dIN^1m4)oY($Gusu+`q=1
zpfW<caQsTg%qkt_9OnoIqn*?>W38m+uGnR7WNh3;twFtX_4F}1>(W8p(~38OiBva&
z*@HilZxY<Mubh|hS{imLFt4w>k<x)b?$7;fxi+2ZSGIaeC*4~Kw`rbCm#zb4Y|1%m
z@Zmjh9&PeBUw1q%&7pn(1PD1iR)n4ageMCQkexYzR28K9KC`-N08RuReOFvud{`U=
z$2H8}_PlXPDIJf+JlW?s(Juh6e7nLj2qIXsyMZH}7d(24H_pf7$oRyi2z<?>7I?H4
z%Hd#*Cx1LM`eJNgAa-<9DcE0jKSrK)HaW$qZp&gq4^=;Z%&Yn+x<8`m2F*INq84O!
zVIlH7Lky5Un_@RJB^k-MefPk~gdaV#T#iK6mT&$l#-BrA!}_W3Xt^sm@g0Bum9sIi
zc|#mYC7$gk@q+1VH#!>3{t2y(o!z$gk@0s-UnN3o=?+FTcfDIhghO|@$OKRUdZ47t
z=fX2h>S`MH5FT*Saw}uWiuuE(WIcbMAScf39)k7lBako;Ie;lvG9w})f*kDZB-tyk
z#I<l7N@ck%UIfy?pTWV`+7K@0W6z%p7!(f2{#2(VrSh4+%EC4zUXzV049;!!6wwdg
z8)`%@RS_4E_WgmEbN32yD_?~x%AHg{N##DmOIcOa*LyDxRY3d9_v-6VN{WKrTtS$(
zZ3gOtGA$Wr#mb%Jyw{_z!aVpA+DG-&rN%!X?Q@`gqm1Qyi^w1Wciz4<-Rl_z1H|Jq
zMW#5}H<sDjxz^JiDWryC4js%uiVYR<MDV4Ea!{`}%zE3~vcio>jrUmX5ZiYF>1^Wt
z`oI9|;>CC->I=`Xc**=vpXS=9T!l79tk&oHx_WziIT%dRTOQTXNdKkSJvjJegFhIE
zBQHb`Oxc9y&dr-Qt?z2BDO&J;Mgck{HA^*7lyOzIEBeFi_XlQD(s7@f+{JCn$_$9I
zQV}0s!RLqxgz$|F!zcqXLZB=1gU#5B(D)3IvovN2)&6}yW#BtW#hR$=xrGS$5TBmQ
z!_$g<ynUkrm;}~kJL$LaD&|bF!$h4>cQFgJK$P1lexKQ6whBiwUVWG)J-<Evxyo%u
zwlZ*cySF!2Cq^x&hhFP6r;e%VZVbAj+WeHFR?$B72&i9NKUeo891n_Um+0^#tKRDB
z>a=f1@%TC+c?X9@xiBU{<(wX;ArKIs0u;?UCnqNfymvgYv2iA392jmh^|D}6ZegDi
z$nYcqr_G|Df1m0e#F28??dXN!<EaY5V^JSw!zYg6L&>vlMH6jg+8be@Zh}x{vXqGC
z!{!^7`hW#szVJ*n^OB?&uv{^aD`qvDAEu|Lj{_4RN4;b5k(8v7GupzsKd9lenSL1^
zYAKN|!uBb{e|8(x!gnLKaX*G!&%7RJ_R7*W#9@EE@7G8#7tG!JR9?HRWX7KcO~{gZ
zhqe5>7NGUb)tIavLIqFXC_T;?PqlMBcMqXmCEWjO%1aHm`wOw{_l}!%YOEHv&X>^I
z@O=0}n1Ke@e9X0~9n)k8uP!>JYliFN$Bz*2lK1b&pQq1MIF4*vczE1IQ^_BC*4f$V
z*FzBb#=}vESxvqa5zUVs8@cvY;-_m>TS#@u;6fh+5LJUL%1T;g#d#f+*ywsvdz#ki
z+O!9UYMQx%c5W!tK1QUswkNgzY_XKdkFV5K@>|-RjNx+hiBFW+7|N@N-p%=p_$kxf
zT`tj5&)$Wtl_8qbCsbd0<_`}NimqCk>o_%c^gCOH(d`HJCH0!SS7wMhY>b7A{+>PS
zL`hpe;IeFY&UTDm$bpcli`XpKZ{!&i1=4!64g`I9diaKKdWLMkcHS!?uEW%55UZU#
zWE8yBNSC>YxOd6_-1!6*D>}CN?Cfcqv36a44?BbX-6Izc1x3aF*%Q4v2pYV|@`JHJ
z3%VaCq-D{f*&i-R(w$G!F!#g2_&AT;0cbi`@zohlph_hVQ=B}JPBu2*fziJJDx@3t
z1&zvV&d39jFdlf2B5?b}^75~#Hm5nKVX$vtTBol9hgJbfU|EQMVEY8o9D9EIfkuCE
z<0}>e>LSf7?NB4;D+g}vq003!bt*B40d*L3!07{s{z|n@n}U9i0tXVS#;XHtWGl<D
z=hea7!5&}>OUXPa0jgiZ^pzg11vIHxjrWvm)o?V^*O}lqx8FNc)8v2em~v&IqC~bE
zi%ZRkR}3*!CP(~pv$G%X1IN(&+xvLByStktj1{Q<aX)O<@Dtu$kZERfa|p)?wZptr
z3A;}$uY%}P5EzI%WBu~cm4_NYx)>bOce@Sho9f7i!Ku?NpvHB45g%@Zu!l%5vpU=Q
z`H^n{d*lDHo(j~gThq+sXy@u+i_G^+sAqsl%DeDP=&n}T``p}IW^c<Q<DdKT44l+|
zMjyD{C{>v3qs9D*Jq5JT$ptT6(ET3mrh3=p;1gn&`~3X;adcm!!$->zx?R~b=YL1U
zV-fE+uKpIK2!sDKah56u@q%w|T0Tk3qf)TKu>b{^Acv;`e?nW^9o17o7^#-Vm&vTW
zJ0uM_6)~<c!0+#`VchF6-;(;eRAgeWi@qVg4>D7D{RmC&nFuU8M2`Qxb1<8vQxm`5
z5V^AUbkvsh(vPyXk(@7CMs1Kf1%+CINo2Gey6Wi0LC6A|Q-Fv29d{OAR<bz0eDxjo
zm%W3D!bYG~Pf7FWE%e>7JhbP#zcxi(25|knzbAqSU*!IF)1ZhjHGH_yZB#H&CQUpP
zl_(yx&Alu<5$3S&uDmitJYBzMu`<7eGpsd9q&)+vKXi`HD5N^Lh^myfGBJI1gnpCS
zneGRze^y4hAGJB{IqGsM`;eaP%8Kzwu~a|yPCr(vu#^25Qz~gaj+xkr%Hy*#i5#8x
zcLRv-Nm{9GP9X*8<7lT~O^6P;$`Ly1XUW^bTr<Pe-!!Xz^bxH~8V~0mUE(bl3FtRj
zluYDhkSAKrSj%&o4$IQE)BPIhR9r|k=x*zmX{a(p@1LZLAK}y*mSx<b`TQu@4@N_#
zAyM^gv)23JXd)c=yrksnD@P91#EI*2w0JjERgBk!IdL<{`AL4R3}C9H7k`sRv=z5p
zC)LtiW4zzdNfbaIZCp%g6s;h+E-KfNn$*B*^2Cc5yn(`|#x40Ws*v(_Zj`|H&YcGW
z^z14!^e{LtJRpP~o$xIK8btf{Pz~dz)0p^JCOW3t)J@LCX0r=?vCq5`F;KUlQIm{h
zt4t7Is0sCEw!Z1i>wI>Z>s#Ivr`epM-4Hn{1E!+r0JbB$Wg`$1jh&XwnPC12$S=0B
ztLR@7{SBN>l_b$#((8vAi4b~p=(h`w=NZyxPVS%G<y_WzSBUdyIGZOIMl~N%w4b<{
z&LtS_BEDQYAuW26ZXsoR)>{0xw1X>Tztllt81aprpSCxG4dQ*zVO}0GyR?293QM+_
z3l^f<$1dJycY*jqT$VjA)P_AV6%aU16X_!1GT?J++4Ef~uBrgd__CqaJ~)Ghyxuc&
zxltk@Fj%;H$V_EtWnWNY;uo!3NOg$UUqz9-J=dDq3AOYaGKXyV9c3J7uryBm(H{Jt
z8C_UMM(#DubqPg~<*4~KW{E;*;}E~#ex`c4oVD&QAo{zeAglamV<WoZd<?hzR`VwI
z<UIv7ubsXT-1DkP?n@_?jTiklfhQy?Gb#CueNpt*m$F*A`$qn|j13ExB1;ZXl-=0v
znx~#33v}(5>-J99hBYoWx<U9(^$#p|*aQ)yUjB_`TffkM3o&s*1(gMo9&GGyI~Ea_
za!k+fRm!1bcgw1iyc_2%hLwry9@RS~l|^T#y<wv`3teg?TCZm9Uda-ps#Na4(!0N+
zdlI=(wR@^^i>Ur%vXwESnY*=O7h!K~UjNzFciTdDQ|Ie0dQ|%K+oNh7FE8oHY-qWR
zu8$QNtoMwjDX@|YsXFD1hKY(hC-U*<ru#-IJ;`ry3wD1VJwLSJ|I$dC;nEUU*1k65
zh{B3NH@N|Om+a?s=dRn2+;6!gwF#%!Io`P+OaAmHa=P|;GHfnAPM!1T&D{XWz)NTE
zn=^v{N@OdfNp%~)eTu4{hrx?T-O0<4Q2}<6=ZGqe3q8IY!+f7HE83~Id8K;~&mP--
z#G6D_$LRkqX0`vX{V$?1UkCmec#N~O_OKk?LdV$czP%Gu+x_&;f%-1{906fbyHO<N
ziut(8iaic$4kP~n5upOsrGgO~-~7s;n=bc941VBh9hXjJN@i-o-Rbd}FGpY2eKmb~
z{ES?us^Wp^MijqZnlUj550yD<VjBYGRM;1=m%Be)bnfv!3~wAnyilV%H2z?l!OQwu
zWmq1)h<?x#VFOi9*Hnwd&F`rQFO&fPlfxubUkEL9C}tWc5WgF-$+&c9EO0_D6&XL<
z;`(PA$@kI)mKYavI&R39Z*Dh3>#w<<pCP&IFqs*tRXutez~|x=>cdE7c4>(bL0ljj
zAC2nE;0uw8D5_T_PO<QZaGf?ULJ;MB6W{z4n<JpleRCRqV!`a<5Or_ZD0q}fNTNPm
zd|8J3%gVui#=93->`IN%ucd_t#EUoh3N0&5oTSk~r4>N~@w!((r^XgsTXd9I4hj~c
zsrF)@A3<MjEE0nRv3_CYvU)@k9Uv_W$rpO>8GK`udKH1YGRE>v;7t+Hx-gW}{(KG#
ziH|8UDy`2!Fzlp|e!x|itrtP8)2uv+kI;TbE<v<Eu$t8jW9<|3j2k@~e*~cNH4R<c
z*kAEifAQj>p^#D(5_f{b?8(0V#Cdl*p{o{8_{`3tQpJy`w_2icA*;bN)lnWY_tb0N
zxl(cGrAcA@*cbc;7;1_(x1kf7+bj_{OLTScWW*|=&7zs@`^dKtPrA<^#RL0I_F7eM
zJ{`U5PqexW9GgSquFP(Egv`C+dY*p@=k&`AI*)Td?r=QG4mT*+Fv;D9uC#Xhpo6GM
zf6+za!WEh`sDc<56h;}P*`vc=8dL}7iH9*v=v8wGcFKhRqT;TqcwZA{|I*<59^dC&
zZy|Mb721AQZkTiKK8>MHO-2xvBa|WB3sO%bt5{>_Gs#3A&eDYr81$#$`cDy1^V|I|
zS`RfR{?;IEpKX}Sd`Dwrft-(TQSs0S!x(#`!}-G#F~ogOCI>&Zc7Jk7xcJMRL@f>{
zC`mM)v`jToaw<R~Em7rC<fHt(Ixp0d3k;ofpLTIN+M|A%{J`ItuFEs9-NEhpnQ;FJ
z*I;ZPpfvdX%S%Dx^7VhMfNC`JfB8lr-2Q&*k$k%7h3=q3?X>z-IZXX{R-3J|KUxmW
zWrShJ0;ujE*?F-E^Y%K~zvlh9QZ7D?W|SoCe9P*f6KyWI$(Q5KG|q>dl`8fadCaPC
zH?gMZ`EY|@2PEC8zQ%7EzWYyd`9Azg_<0O3NP;+>4}3i|A50Touf=tEiS``VbK!$%
z!}jahsNjmWxJLCqdk8La3@+Gx{_h!a|33)97djuttw#!_YGWo9T(;5b2g8QR(DS{P
zp$7*bWhvi0_y;T4a4j{M)U#$b^uB2FpmBs2<(^!ax5+<xGjaK^=t*7RvH3z8GY8BL
z9_;OKwp-qqa(#F5{&khbKZ6(P<RIl`ETk3X57qasvMNg+TdWTnJ?oX|drn&uMq8s`
z<#XisL=fSEGKA3Fdz)stIl`}*yibdN>|K5B%dhu6nHnQscxUn;($yXm&_nw@atSgB
zZ~C)y;D{12_(^&>f=hsv%l?h?Yd7%k(Zdt{^xUlG2P5Mxi#=3hy{!Eax4LOD%xEI|
z^uRzsZEv%~(0;N~iQb!cD<-#O3y-27k1>qtzq|IYkC2Hnb#>3Y6^U8gvpRnZMw$Dl
zw;$>$UR6~2;MUz+c4NGu8?do`=)eJhh30aBd6HO2TK@=C;oFqJv~41g_;+9mhpt}$
zYD$M@7+d|9_><8PN6o>obJXUr-~|T%gAD=8JP#h8muK6galYkJ{a59w0fuL?g;HW)
zBn}2rjWVFgpgu!gL{&~*K`jt`W!XlkUz(xj<Uo|SOV%MM`*J#s?uNLhyUTpc-=3K_
zB8En8$>quQ<@AY-01Mt9!<p)bg}U&FJ2ZIJmj-|H%f3~+K9`4gPdi^-Hd&ds8(T*!
zH3u5;TZ2iiAKf?@VU!r(Y0^H!&d25|mf%qqG20*7S?R$CuJYD`{;<;(!WEH15Jgv9
z>BV9Nk6!RE%iwJWB%Iv3^!<NBInLYs-zdlBA4>;HX7w(&QjXE)kY~KJAR8a=@G<=D
z_pf;cl}F~!+<xh6rek1`=m@~s3#P!cx5XLW9^;@kc@1!P$D`|XYc-F@zdrXnee8Mt
znPbn{!2w!NI*r4H`2_{L-d*LOXrk~?;qeRpjn03_dfVY`?$5N|+&`#AAg@BiXnIt|
zg%XOpO}<Dmi@)8>4f<;(qMt5gF;jf{oqD>o4~ar!(DnebZ9V@|#2*6kIAD3UoB=Dc
z#`HBYq>EY%QX2BZLtQdWR^Zv|bSbZ;ia82?s!dXxX20-^*w^2`U*>%xSUp8Fjqw`b
z)l}g%N`EZEqBgbjN$2a!`!87zr4KFc6omv)FL9D{b4{X}j^P7>?O%otOTDZYHlV4X
z!3Afb12eBJy)Hu{nQ0xF6Cc0)Fnbd4h;l)oN`aB;J)kIgQaaLUcFu~6#I>|9x)7v-
z=|@6M#u(9MIH&r6m_iybqP`2yUS(eL-KS6ucij*4W2lcg*go7~MT0K-P$wjiu7;(O
z&fB=<aZX8`JKFE`@}cFBz@gL=(hTh|?*%OvK$LNvXomz+4mhaGXwZ$>H})rmY)5>!
z1abHDyu19+yGA79g8-$HLc@9JkG>79JJ2mr2Wr&ZUoM+iF^_+8mtP9(L!IE!ll>(D
zr|&E8JVNWbq)??E8D>O;Akk%qnz`UiU%LRITndK$T#eUFL0!Eg>=n}4&-beQX+^O$
ztR`TXGdF(?oXZh~Gy`6`e)C)yQ#7q-d(sW-8}d3jJ<SS7=$<omo?QWmgtDV^hj%qy
z_U$Hq<zRy0`CkCyp>r{OQ2}v~>8ya%Q<*85d>Xs@t*vXH`-{X0MG|ubG2+9lY0Cd$
z@4chpeA{+mEl5$45F$#7E{GPLG-TB1(IvXkdmBWgYB7jTqDHjn-4F>u5N&j$i!w$Z
zjN!W`<@deMv)8xR_wK#_+s~|(6)7`w-`9PW^E}SuJdT@=2OWS#KUofnNH(?V_cTTG
z_co6vrGRc;Pbe)B^-5rUX6CFCDES|c4h(qQbTQzJk))Im40SODs!)#risDZy&x_nv
z+kW*5l&Da&cO+!m<tR3XB6oj&;1gi&yppZC@tODq|HG=a&g7V747QLzrnrad<9JoM
zinPUnDb;bMlgZ=k&?A`2mQ&A*0IdlKM~Oc#Yzjymp2H=&nkf}+E<5)8f<3uZ(_DMM
zt{`Do0IWK>ySj~&a{C38*2LlDH=cQ}d~V`D?}-A+cTudfLSn*o-u{j}8dS<~V&|cA
zn<75G)ng_UAPZw#zuhV^rIxMb4Iq*8IjV`9i(oAfWFF#x;zjZ4D~H^n>u*8bc;$(>
zW`MaNor3lq%1~NE|CM4;+7yZJyj_21Ux5H6<p6ZZWoi@D8d#=Yalh{Fwl32r*3r>1
zrYbP3ahqql4A@YTBCj(9&&kI+c>)w#QYBu%k+oa)IjuGA3$z92>x>d+btc(79gdSn
zc*wr@-PwD*(_9CNngi(GEG=I!?-WAhMf#4u|B#4&ox$@ZeO)z2{;=--#+BC@6BJHy
zdkG@sPT4|U!W+3?^+{;X#@kZfqIV%%k9k}t1~Ak&ARw-LEsqj;SxG~Ob%wYc-nMga
zIMl-yUt(e!ePRT--T@Bo?pvf+LJ^&o!ewP6s|`(I%}#X3@J(Sb7ABbK%Ctp*b-K#0
zucfs??d^q|4nbcuj2Lh%jwM4~ZiD{1{<r)_1TIn$=I77qV!%nVzI(T&^MEDP?EH}P
zMG?&_>DG(6a>`bDrH*YeU($u|e?i^}yt(d8fE|@pt{h97KRjL^PTr-x0C%yy4vOOs
zhN%nge?+{!6KFOw>aS%0<(YHlYR*MqD4$t8!N)9X@W$Oad{Ee3!YmTH{^en0?(GrM
z>a6M=tMeNq%61RHJ@<cwJ)(82L#}S?ZB??r1>lvYwzj(goq`$76=ui=1DyMH8h6o@
zY<1Pj9ZG+Cvq|v;S5OejS#+y0BT0W)X5F;_)bVsfX$1hNJ8sqaR+i)wDDZ?OB_|8o
zIy&Mh*Pp(h>;w}{UVH$mxSaPrB~LZYp((#qykfs32hfRvZsZ+BHta6DzdGZiOQ-=H
z>i58$yNbaI7|xdWCjtO?4f@&Ve#p^xiG|vH4Ny6?XRa=B9P2?euFp9Gz`tbZXjSSe
z_<x8X=b)KuLx{zeF%?;wxbe6z^J)wv7?Q}VM>;+tE+Q^epJI>XSp?DS?Jo)@w8q&)
zUsjsPr#LTF4Kk`^YdxDe`r1R}>E-2x@7${Ms{>Om^R=M(8S8Lk0dGkc{hP@ROy(W2
zJUEgiP*wJ-FetTzP`KF8DLAujs{KC5?eycgsNDofBDqX^lgUj_0L+5}_M#3)eD(+Q
zqNbWL*z8O+_Holhc*Q1fe`9U8uW{w+<dj#&Cp-f{4V>nj{AH)Wjb>YE9=cQM6!){W
zMxL~O01JajLL^Q(wWBGH;x1+L<G%sTK`cmIIDSz7TLjGT`skzu;oMakL?Vw+09Wlw
z5_dK|0T5IZKX6RG0Q8?@CLbyn=bOnep()3Ihg$VEYI#68-7G5OC*#yKpfaEaP{Ux!
z$7Fyq)Ex<D(AyE^&5|w#MWTZ5ynm3;@96+q7~`5&K=u8d-ibefUs3|tTyZ3>_%|q`
zHewKZ&%*wO-o(l0nS*Wtj8=F(mG-kYpj5P53eUMoYUMHHR^)+dN$U1P6Ck1EX#hY?
zHBjjQ=XzUh5uZI66|U|2oLulc&VC|r2~cZ+0qt-O7H~M+nNk5Y7nQ~C)Ukk0{;Cw3
z)t_LI+0S|ZhAY|a>XqG22sTkQo&EAPqwYXH)@R;n=%F`pF_&q(bPhn_yPAxGF{CuK
z#a9F6UT27D(xpoJZqAX$3z!^~a)pYEiq3)0#-)M1i_D3=D1P%_;8)jwgI~F<t;<G=
zpVKxnD)c@Fd!OD^#Ffw%y<*b_&oAPCuV@@xk#oF%usE&!eY9uOlP~iZSqZ5G2G^&_
z0Io>Ud^VWh|3h)HAdx;p)fKQG)kp2g{&Y9x(<`VZseb$c_IIqS6|YU9H!WRb{v;3)
zAz3P-e}mlCZx6}p^Msg`{sg_8vAw5EQL4royF4=#@cAd!Q(R5GnW8y=-mAt9p{Un>
zVn!-XoKCj8;^kyEWzod;1Vz$+p4I4|k6>pjeM{~%l}%q8(IgnG^n{3+GJsa%q6F(6
z%ld_PBL76TeWB4Hb`G3z5mz$Km==`nKEAj|f8)|HW&K$Rsy*Kj_dfto*2!z_=cvNM
zaQ%eCX99N1WMfC3T>>C-zrGS&6hN1aT!ZkJM~l#|5x@VM^W7bVF^&F5%cWX97MJ&5
z0#%aBJDecaHZW)Uar0#*%S6%d5=0+a#iL#>!{E1CJ$HHa0qpeiV>a&f?edAj>SN5`
zlop<Kk^>~6DDtBddonJQM2^QNzmcNuy9E5cgt)}ql?648-pa8iewF-Nx`FA>caoK5
zY4UQxSbrx!x^J8_o!=D6>c~l&PTEaQO_6k-`A<S)#YsOZe?cJ+6X(ZD3hCeAc6k7x
z(jBmTah{i{4vF`IzM`>BX2C?v#NYWUO-`i@YM3o@N(lb`VhB?_*r<DmdHtECi>h}#
zI*4HZut)lcz&{CIF>U^v@iCG9OJEOSy7h73{GTyqr}`&(V2{gVR}tM7rI%n#IC-y0
zyXk4ut|s%}jfFG(zXDstHl$sdH!A-=2}Ve~t;8vxkj561;Fu?EPb5!9{h82^^B{o0
z&`nj{;#lYY^b1uwmGEDKxxWb@80TQDhdIp@wfW6Yr-o03&LBw+$$eN{&bv<eD~9~d
z9s5Gz{{u3^`Cq35dA&2=8s_4?F^bo?s(+a*<n>E4jW=FazOOD;{rdpz^sy2@CN2Cg
z?1`;k`Q9md4~$e59hQPB1AQd>XQIG4Lr%@mR^ckS)>)_Qr*4{S{R)7=gOdM>r=j>M
zPSQ9w%k=xX*j-IjPl-{uMen-bpZnxma2X+sNCbEV->dl8^nXPq<Q>plCnNtn(73QQ
zEA_D_@}z8hfq1NiJWE{uYciZ40j40ApstSDyR_3hbM(NAIsirCp#Jyr^HL@Z#@Qb9
z8GI-Jc^JbK`Ha<^x5vuygPFKG6N`xx^=UpFe+Wof!_i;yg&e8RI+WpjK6T@y^-uP0
z+ZU5kvkUaBbGwLd#E|?+{J!>m@io+!?C(^TVEA?IVXx8;u+L_OG%kq$nSIjGD+17@
ztJFSqDO3gA?cq9a;n#cDeWwn|aDTR&)_l>8$L(v=YsJ2H^u?mwU|jztf1d62m|^BW
zu}W=BR?qNIWwWQNPXYjfoq}PwhV!d`CLL4Msjo01Q=;W3`N5e_L{vn%;@*R?WFwM(
zsUr4gD`QIPA!7L=ITm}aN5Sf9d$2bs_P9u`TbbL3{M`y?O-^sjwA(ew$N32Go~J*#
zyW=^N@dHpZxShmFyh+Ah#V2DI#>p1{z%g-UY(!=xM^t-P)&uNvGfhmu1eW}wakR4b
za|X%wm&L_{q)s_;D85cV)t{Xj>E#J-FrK#fFKug}4o}{@kTk<d#ohj=ir}Yd3(dv9
zSNi5yA6Mzm_U>_dgU?sV<2MieH+>DAYvaZXy?@j!*=4lH<R!r<wWH*dwkQ1~>w|s`
zxgrEk$ni605`!8%7D?Y1m#($gvXLYU9t%pPI|MF0@TVxe<P1pFh4nKc>F;KAMU+I@
ze!nveywNUR-*+lMVG}8-Dzz=<u)h>^*T&{CS~}e!XRF<slO>Q*M7`@xlGL*|f<Ii3
zpE}fRG8yVkG_i)s%Vg~T8fZ~NMW%H<63mIoldCkMq$|OLx5g-OZ`siyQfZ@Kw&L*#
zvOTynkH);f`))0s*U+pvR?Qh|eDNA@nz)zXAFym8*chqBLvAQ29lQIi(u*huVI!Ak
zr#%bh?NgOHyuoW)BmPKf<>lfv$f#K8ohOxJn2a3_HIJLlR~v@XRAtv3bsDBU@8u12
zJHF72wBg2sV~)d$ofva{N^!=#s;-AbgS3r^Ch}bnq_2pZjGNB3Zl1c*1ab7W1x+L0
zv49bHR4kZw*Isc)1-<2)*0>IRx)xY0n5tsGIY-7dj_5GJomcy4i5o>}!#Y0utloJe
z_X2bj{`LrXvipKHd&{}!0sbgSC^?MXZaXxRI_<bOPC9OGDZu``QL#a*Q%wE`sl!jH
zqcj!FJr8hTTT||EA)P!m)w6myfLL%c!;m_V?VcEYAuA2(6M*7I<v-!Ldd&Nv)MW4Q
zjTFOf^I~&OjS+bm8K=e8XLn9oOGxx)DeoS}myP&M@TL_Ww}!Q8_ve<3QE22WQx)?~
zud+iRb~RpB#_+{YPxIugt}IPh({B2XviT%@u<z^qx9eb<xlu(_PxJ7^+!MNWr^}~T
zi3f<~+4e;_AazMg7^9}FyQcV=p%`lU@Yi^3CYYw))IR+{KYa8VN5b?JeP!jFpo5Xr
z$Y(5t9y0jrx>s(|#o1cJMdczqYtla>FSu1rK>T|2KaDBL?>(*w{g4szafo$vMeHsw
zRwSHIa)k?z2V=`;jx4@Ba*8MUM84<$j#z>PEGDM-TD>(d{Th^<hs;jZx$o9{n>{j}
z3!Q=A=fqjRvZfz!6K2Va0@-a!!NY9?j|}43#oUJCf&SR64Xf}@e7XGk4cZ|iwg|)O
z%n1ZLL@Vg|rS-;&YD7`g7GD@noTd!S2!W!i<0n+xrG1_Z#m!@W{e?t22*mRbSC2{<
zb+ZyZhMQF-k8HgPP`7s4Pru^SjT}i~x65G6cau-;+K`viWBw#xGqz@la}HD*E_vFa
z&(>7#&8qY@-<rA(Q}PoW=y~!jR6cdA1(k(STZLcpeX$p<kKtJxmJCJBMz$lS0Xv&6
z2VZIH%FYAYACIer?pp3A7zOQd=450AB51>BY$7Ndy@n8;y_+k%|DnZugfL<UBIChT
zE5{)?K7~Qu7=5^CG<rtNhmR&nVXabnq%uIPU&D`~Hx`JG|Je98>tKd>V(UiV8(U(e
zc^z`T{b3yL6{kM&53jM*`kD0Z46xf=CX-6DweE~6&Y4fLQVpDNV6^sq*1Pui@;M+(
zB48pbuI<*%2m;bl`q7L&5t!09yrj#VhS6LIpecx$t}1t`k3&XOH9D*=V{J@#-&DNs
zR)P=ImGEL?0>82n=?EI$`pSnDpk~$dZ8}m7>XEjyI~03X$e-nfa<mn{p-5P`J2qLw
z&h)V288xa5s#`e9#T!=%Y!4%+n)w{s&nv_r&dmxOg%Ry}P(Gqwr*i=i+R*}F7*%e2
zb!8}oSwEv~ymUw6tPfeWL~_^B$Er#Y>#H@T2NNh))6u9z_K0iGK6iG?c)(cvc#dy`
z?h;m#3`S&iuO+>G;(%eZM@~u9N;rmE?xo$<r21DtWDk&oXGLGSU6bBHYDSOv>3G6%
zgKgtZ&~cmA%n^rO{mOTDH9sx;yLpR3Z$$Uu)(^GJz<#)J&bGf(zBekBaOE*qLdE+u
zBwqpgiHEkf_B9u+s+Qm6$Dr?)!b(<UBW<;2Wq=zld+OO|v%8dLqktVkLD0!3b^<)8
z)XCxDy_hve04f-djE@JHP)_rKnEu9iT)9gAco0HPMc})Hm<X>$w*;QfIwi2<Lq!y)
z+T&5_C=0_LiUalm1iM|R;={Gv$H(}WIjT8U`}SVPKbNww;rioVqQ?=AP~<takL(Rb
zI|5?}_6TpBDYh;5NiIl=^NiJgo}=PQ57?ATO-+?Qb0vjEp_c|{KQub(rw1}EVl2Q<
z39P+<Y9MUkM>*ZuWb@=w@Q8;|UW$5d&#5a}ge0gC@LEV*oH=9m6)C6v!Q+(YXC*c7
z&rw?>{hlJZ1@EoZ2j`Jp#%nDeFWfrC@Ftu7#<+OUdg)djY_B}Nu#rVsGHrSrghR2h
z)8zGB+B0!g5Rk6z0pp9&PpCi~z8bU@4Fy*<Hp&5txW~y`a_Q*^0?<eVIFS5Jl3)%L
zHW>j}aNOZ$UCCHBhUlgTjoTA>B8JI89NM3#huBg$Q6KQt0Gp;u<?Zz)#%E&$N(pB@
zq*(5aY!9Ap3|WwiFQ&Q0`xWelE#>DUb04E%rh(10of~Irz&V^1dPaQ8B=P5U<##~t
z>1L?Q9l%8TzL*}=*b`zZjtban)}-qq3LK(e^EwY$AVb6#%`JLX>cTR(Lum=D&8e@o
zjVe!m!Jn+XRB^+pWl=99eU@L<frnt1RjIEdXS58^f6>XfjB%P<ewc<~bhtLfpqIqF
z&+|UQ)~3a2`Re%}S{y^uG3Xq!a|a20ZTdp-2>|*&pHv4=N?L29tuPYpYEQa;4De=c
zlYF1MluD%1fHqVnncUSkFtF`9b$JSXtuC_<HzOTMr7e}is=4fY{~CQWsj(+4FZar?
zz(JJzyzmsDF~yTcX{5>Q&z~sudzoRYw=s`zNYx+!oO{vL|368e(1SI`cKmiZ@cvNH
zq(i4!rjw2s{!H19VDJ-gdE3#$*GFH5EHuJKXC2_aR(82#mhNvCSL>YH;_Q)_Mj;FR
zt+enkt4{5~8dJHM>v1s<O?yAMya;l^Fw%JF;0^)x6sdFTNC`WCShs=ZPo^GbmWo+c
z=S}R<=|23yfGmVwntf!JARly8D#WVY$C&Iwi~;*dB)|>`giL~T;NdNFCU?@gJC{R$
zjE?OCpt9RofZ|3bZUfMx<iT=wmvHd~bDMho9-V>>sBz>IfljX?a=k+18aFChFd<U_
z^P1sFV$(7}KHc96n2gG#_=jiw>}-l|sqw1L$vQA1<ByAK(581L3rx}pqR><Q9IQXv
zOiUlstyYT2(>z6Bb=u_(OtSBZ%m%-PKs-6(2A<HzsFSLzd_?H$>6F&A1nbW`yTu+v
zm9PR-w2qk6)Gj6Y!LL@?EC7G-yVzM+%)*}5<nRqgWY{V@FOH3l)=suK%Jvk3&V|6K
z3E8NjfdR|leKZ=4BLOv=BX`Q_5I~O1;Ww(3(F8LI)!XZ821s?^!HC4~{LLS4G?Pq%
z&lhT%YmY&Q4ns4z{W7XUuv3%WFKBmp8<};?jSG%(DpTj7$bu0Wpc3<%_H#DCO6q{n
zuM!bx0SeFrDCr5X$*~cWU%%F?Eth`$fH!Vg><ue_kJkbx=}McMs-37zG-eM5+Cv~a
z*!akC6luEJNBKM*C+JvU_Z52GAY}rkd1PpQoOKYR{0MsGScmeFt;Y0nn<H9!@>GC0
zfu6aqf{W~&G!?@y1A1nC8D49O<rh8EJ=Jl`EU{>Lr@uLqBfTeT$p@}%apy#RlTEN4
zXi72S-0JK1b+0l0xZ=qfV@F}@?2Pj6N)k(!mX^i<ZaWc%q_MB8<sX{nNxGHe$+#}-
zV)6uFrqg&!>UBnhi6a3hjc&JG15X`&=Gv6(bm;jt#$~Z<Vq7>j?c5ul1ux>xRW-Z`
zI!eU^ET$8%OlYy(TkgEctiGDe%$>&0n8Uh~ZJU~`1Gq8=+Z`h?!wD?S2`y6b7%yLq
zd1+RaU2I;uEQUbSJj!4H-nxRqPouNbUSw_9WE@c&j992(-Kc}@`g3F{%ZawaXcWgF
zfNw8zi#M)=TGSR)NqU<I4O}{x&-{=Hr9Bi={0-e`rE?CPnsm4+-B2|P8rbpy8okC{
zIl`kufB}b)NK?i;d+L8lm(ze{$p!>MlKYTIFHOqn{}&GYdVo;5OSwoe`Pe9$1t{==
zk-NM5`v=_LiH|4=0B{Fj>ka`nBA=q)Ka~68SG6JDT>h8_Z$!Qw=q?vHePx`8S(lrR
z6(H(Y;ycmY$R!5?#&@IX_4xmQ@ijebiU&#{yT!%D8jhpoO9AFeN=j|I*J_1+ZDH(?
z*(74jWzm1Z>Bu&lESj>x5}*KUck}&GQ874tsZ!FFv(*g<{O+Eu|1Xv#O9bu@dsS3U
z^}{(Tm>n3OyT?|zzqH8vpt6Oz^zQi6<FBvzh*X6Crl_L-R9^qn+4B!f^`D{mFGKN9
z%aE2`XtzwExD&hgmg8Kyf7)x<?&A(2XY0)r@mqB0@#+WfKyKDP;YNYR%HOkf&V9Vl
zs0v$Q=4?2k%+L{pe*2$c30-Q+eG-5A)cVNiq_!N6cB8(@SM7hbV9{{Qm<=i|pKzD2
zOLbjVzv8?SA>I!+Dbr?Sp^<Mr4Sr=MJ6m8i0&Eu_NRZt$J2LZ-8#(NIze{Z>KB>IY
zYUKOXM(#F9i6SSdln;J&8X9{x9B*K;DT%9gDhxj#zkhK3YRH|_-#B?z1kovUvFqA`
z?`U=|&=$v^K6-PSg!EKMr^b8+Lr2evReGUO4lX+f!M;yAbV(g<w>$K>D|kFqlC7+T
zMHX?mYY<3Z`I4}jAAD$Q<6CBodn2j`e2psCR=0N}MGF~0UIx5c9&C>2b~sIDWQb_!
z_SU4swciw9j?)_3%pKhQB4Qu3!ZNRxTAJCw!>hCOwJg^Ad#{^Pta2-Non2UESFslE
z5_I5b*KnT2_e<n%Vvs2BR+QpAi?rG`fsHvj`VMQ-Y_lM3H5%EE3mj2PZ))_<d`={7
z`tg~GptS?ki^%#`#DC(G*K{iFl7&~0(3ScZ6&uL9!R@A&4$;Q=tqrZ>MuGFMKKLMg
z-A<imx0s`&`!E-j$_Fm8k}G|ww{hyrtgg?pM@^=pa^$s(*SyCWBlgB~IUplgajY#{
z)+h&rgP}WC+nD|0wezlV-m9Vt)R(x%-hSJcByMu~a^|-_D>XS%`S!bkj|_vQ1%Yh~
zyJ8sIPK^b-Rkfjxi<$?waSnPIlpB^cp3Q${$L-W9xnWu|xP_%(aRpyHW9IJA<f=rD
z+%DEOnIVo{p*3oyL{`cdu4<}N7$u+Gr_r;<Sm(}y`tE;8_aJeYmEeCe^hXa_;$^wq
zQMn>)UU;5muw?u;ZdrU_`$wj7QGlt!V#;8dEA8r*gfE+%GTOO7bHzgA!_U=ztIbWz
zv3`61<%=g?WwE#Ch)9!+o3LU^x#&_QOnY182Q2E^!|cC{7xnHwQz_>;!n2H}!XHN*
zu72$}-gCtTtO60)Gj+jL85tR(lpzMK2|f3vwEM2WP2+VO3-LXmaVuzhP>?lBI$y7_
zR;N!Nv^8@S#{cToe^_p-sci-WA+pGbA?`dBeF8rD*5d^RhgiukT=WH2aA8>%0VuOF
z#Nsa_C(2xSSVx@qcC>V3kF;0P)fmnX_(E?#^7^9uyO>6+^fn$D$LFJI0g8n|e#+q2
z^3&2x#gE{L#vP8Sl#UdHd$Fun${odyf+>_)TvywZ*x0;lZG}P&SR^~DaO00S=P}Kz
z=0vxSpHDCW=YXMbAw--Gk6lO>38YP>c7(C4d#nDmA2zR`zys8x1EA<@$k8%(dWe)^
zUl%yOfDHsSX2NE7b>s!v?R7(1vK~=!@hG^*tE?9wY;7E<LxZ;2O!x&uD29EUU?mhh
zT?k!p^6owPg7@1-QU#}=hQ(3OkdDW$otyG&4vW~J&q`tkE63N9l|9Q}Rl~e1_4q4}
z3%`i)i5=ADOCyKT9CfZSmE%}<1)B7%5>&1Fi$JUq6E-zjbTcenHzV*_rM~Xsb^wui
zHItW!PlS+$%7G^+elHAYYfM~+1mRcA+U{MA&gYmAXa|atY`_;Uet9|OK6{aH>v#CJ
zJuO)oD5eboZb0lqDB>FM4`Ge*2xlJ~Z1bGRFQ`}xzbF#O7}Z7!DF*(4FethKn4syW
zj<G{7-E^qdgmbE=_zV&Kx>2IwrwOiJX<=4_ZK^|flc)M{o^Se)eP3Q4dCb$2kXw2B
zs5k9BF|T%o{KYBD(c-6L4NxD1hD`XiAAWMb1bJn1%n9MetEzJLos~~`nO|?Gt-F`k
zKcI)Wlg-ex=6#ZqsA-J~OhS;Qm9BV!kb0;q0=~8`(-R}w!ss5FHIx;ZeUXWY3D~BA
zfXf{eDlbW`h^o{gx9YVyQi00u85A~s<>tT$Tn}Wg9J2gNZy8K|rfGpxQ2SQ>wZaN-
zMho>cP`W+1l_EmeXv|-ZMv3`&XXEDwwP-)A$HsV#+JIGbupcmDshoMdqnvnHZ^CBi
z4qYsi6PQ8LKeiD*2R6vn_(u%uYmq{nj|$@|yr4sspl4cLtTp`2wxxdcSVWvhRn{}O
z45Y_SJX{EAn6Judk;Srd01O~O3)4<VN*WNd1K({s)&qFwdGk?G`Fq;A?R4~n&4w?(
z0v~+>o|U1Iip+HUF`82-kAJ56=m~YrLMOhvK0-aQU~Wq=&&oAb*&6J3!$OJ&XzxKo
z#GRbWLGfil#6<p)!9aMzcb{^|Q{K5ywv%xS2Zl3Z!Yk+=JX|PhXHc9ngdsH&A(J)&
z9XbU;0X07Lq3b|C)($?JqmkbD6$=v+6%By&(LrqH_F@TFO7v6T2!E<#uz1)G_f0TR
zPu;Fv-LcH5Qn}UE;?Q4uhevKvl|J2jHxhGNUFvpWl<fO2?m^l!H3;-T<F*JZg8^wU
zGh-!j@uDx{jYnentlPU}cDy?fIuNX@5@}UktKauC^E4isum#?db`w>({Yy9?I_wDg
zbB6BM_H5Pjz@0uJCxIvF)6LCISNIynxW9_uhKrLRiipr}Q<x%Gts_|+Ga90qd(%Yh
zsw0Y6jhydH@6m0TZ(neY;;Nkg$b7?APG5K-7iHR5FR8y1_+voAH@Ry8{5`j##9G$8
zWI&e>M=Ccg%gVi|gZSyfYDiyDoyGoUP={{A3&WdgzSmN}>q>45AE1h~R)XZ;gWdg2
zd#CnMn_R|BsmNS7Q_YGx(ko!6qTx~u!(hUt#+=IB<BxNwBc&0wWUEuBW5qpRzwYdQ
zVA&VSoZi)pKB$NE9O5?TYs|DQu#-uknKYNeN0o@wVVJyrSpvJ3&UMi-JaMwGZ&MmF
zR(F%h;*@l}<IgR(Y#^4IXerDCxmN28@`y3Uu&<GE+af(%f!FO)g%+4lST=$ckg!=F
z9JF?2!&R?es2gW=kI8xkUj~Mz6{jy;w;gYDmsad++bzM!3BmaHXhI+8SchgsEq*j*
z?V&nzRx>fv&7emtXDl1?#KkS5U0c9R<a;-RF3D$Zl*D=V`Rg@d)S0N<j2O;UxAtde
z<9#SBzkho)E4o>#virfYeRWG$7<bt4(Rp)IC!pJaS8lNYCRu;w>o;ckDGR0+lD4KB
zHylV!QP|=)9tw+6)wAp{VB0zi#J}U><24HN^Hm_DXMrZ{Dcr{x<?PzEmba5QkfoT$
zm-pub0qZUHE(d34HbDsBg$)@%oxM!3S%41UnVp@z;UU!kT0`9)17#6)Pn<=#Z?9q9
z5Pnz5yztsm>=Wkm611aMRmz5``F;>6*L|t0`a8kR@Y3ddc#@m0;5FPy$o1M64>}(v
z!^^j9BC(ns<kvV@lJotV%pnGKdRpCblS2a1YJESA2T94p#QgO1NTr^F#Uw^5$r{`&
z<Ul$pkh(J4$hE|kwn(p1+wVDHuw3nu6fU$PWwWl1&PP;uIV^U`o(kpV<5K|&I@jQh
z^&U%o{J?MaEEFx<ny|vaZ@68_-jyni-31-f$-pI)fgSJR+yf4(>o#mJMz#C#6t7R|
z4vYq=OifjCrux|vy4l=xG2i9CBTN<Lzv;@Ff07xkoktzbe;x_?uG=8OaCkrkfi+e>
zmM42Mit<xx*A@JT->I@38>3H@FjdG^*PlGehM#&p-(ZO>)bA|y%SM^<<(BI_OP7Ht
z*rf38^vZ#==^S6W{__0bsY>xq7HP#3Z9zKEa?|U_`0{8Jx^8>n!NISwf|yT}giRlw
zX122{S|)xv|7va**C+z*#<~-(@6hjkxIhQt`VMbYtfg2nm^S0Ai6q+=n`(txWv)Pg
z(&j(~Kj;J>_1zjb*<Lz$`L#R04|^q16$p!VHe!0>vw&{v2He=<ySs@aXgZF6yA2n5
z9tPyWf@R<OSZ604p#nJc8$P_NQMfr+w4GEjx;yr4bT<sOU1R!qd0xL_zA-%?Um<Qa
z)=!9P-;TDG?>u>7`7|viJY?a5<I!}`NAxS3*okt5O4-8i2UPY32h}%&F!Gi$c~7Kt
z37cT*bNrb})9(1J%alkjM{Zzh1*|x3sw5czTNS`SbF#ov-=+=dXS~+tdU*7@?Quyz
zy9qG2oL&x^zYQ&9kqc7;*NV3W572Mp`aFw!`S{svxKM}FXollf{=iWyQw5?y&sQn%
zlYMxXWd%4qEjPD3zQvh6u>Aa}6m3_r7o_ue{<Lz#wl{siVYL$}BYiro_LOzNowbC!
z>=tzF+R8Hf;fC?@g<m=rbv+jHp1Lf6t8Q8sE3jVoOY;UYvHHM)6+)P95W=Q^{X+7b
z@1!`veFQ!$F=zq<xLs*$f)P8<xmSmF-6@hW9Dq7h`U$l3`?n^5XwRVDXQQm{QeA1O
za1Ucylc9eL@CHSpN96#k2g`oqHmxdV^d`^?_>gs;xosrVpc%*?PQ{ucZevg$xut4j
zu?AJ9MvJlq5ml3gITWmVIU5ZrQTi@38@w`}wd0!Cq~Ge_P+Y4PV%n&Q470I8p~koN
zCjE>$tabe$&#s<tQ)&G+x0tuxFO+yFQ^6lptK^@X_3-QbVh4-3wGu4%(=CO?KxH^x
z`Ffr<xN-A$RQVU{Z`0CAN4g_~6v6(mDWd_76ycn<dj`eeNNkfXIy^kY0fVXUjP9ni
zWKh{2ZQ;b#(Fta<X5VESMJM6JdJ`=bpf?>=>zodPhS9BhBlZcVu&)=sCkSP_0(Ap%
zWqXy}ei{r$l9VX;wq+q5nR20@CV%I$w}X?}R%GR&Wm+rfz)3lq%~sxHy>rCxjd9&C
zsWKJJeRm8UOstPQZL9PvF~EDZp;ERY<w|WR+BBO_w()F?qp}?I+$Kzrm1sMTw55l3
zyvLzYYa1m5Rl;u(kLcIa0yf+EfU>mjN1=su_BfTKt2~bi@xWf{4g|3Y3)02}f@a$h
zU?(&EQ8!=Cxe)&`OPd{kx9=JNZ&1JsW9jWggb~ma53kr&Y;#oyq^O?lNeu4D+oEJx
z(c=4S0AikOO)!L_%fVQoYb2b30BE%#TaaO9qg&!;<nlw-_pqHy_I^J#IrQa<Gu*qE
zM<l-Czg8H<%fA2lW#cvL(R<c0kz^_BZK)Ic(mStInFM9IPPE6S%w(|QKze7p0+UC%
z7DTtSF1_JHyaR8Ml=lKRM^q<XKr-ng!+PJZa%;s5`yO-HUEH8$V$xvPw}$Mm0Gu=$
zWj_~ZC>ZjmX6*{|vexYjAhV2yoF6zsO3RX(4h_EdM#1|_jM##d(Zz_oUJ!up91du;
zDfAk9=c3`3o6>ht4ql5HsUk6TmQ^=-wk8!7a#h#LE`V<jCbfBZf{=wieg8M6Z;->T
ztgo3D8orguncF(f1fSQ?f87`&d}5!4xTr$<1tM=Z@)GQN4{fUG`)e;N^=?M%%#7&T
zo0i|Z`R(J+ZEfmrON1NydFhvQE3tJ-YB3awJ8;n`LQYYUIO4iUtdQdN-#zs^>2@2`
zoh`rHX0xBj8&LNYj=03W(-6=?-TIA={^N($Gufu5g_UjToCGaeBJ$yG45+db-S7!9
z??D`xkM)lpG~MlR8qexI_L~=IF@dnC@ZMKOR8-nTTz;_mES_G{VcbdZ6Y}oO{L9g+
z2o~_(;FQPYAmMLnek?yUMP)cvzLSf1!*l(|m7xFwPQlu--QLW|H?GWL`uuPG2N~!k
zJqjE+Gv6jzmA1#eUP$T9ge_+yI(Y=N=I)-Cw)f`mU5}4bE=IizIUj{uw4eZA@X6V!
z5D(Jn-&}xS3GVZkl?U`4P9wY*Gb1)I=yJqfiimE&<cM^mc<%>g!NMQAD1pAWY!j$V
zM~@jF!e+-hR+?OCI~Ig*>?uk8OcM7+;9Ii+_;8}(OTW}p??zOxn86$|*;D7+I%O?m
z4UcgrD-b)8VBzt~?6A`ZEsN$2jW$2CfoXMLxfbiQ>uZI?--Xj%4EnGse<Vbo7VsD$
z@|>UmHAirPBx)i)mn!-wUPU0h`b+1&4@X&#K8S0uwPxEd+nILaIu9Iet`?n=bFDum
z*Q`Yd=9`*B!U_oQ2d`WA|M3?7&yW9?4T%Cda3@|(1B?0)>5Us-jJ#MVG-TF*Bf0&q
z>liB^H_?~X7iN>UK6l<*QhoVZeB7SOQ?SVAB3Uvs%H;A6qu97+*Q+l78nxi3y`N6|
zfZg~7OIzM2WGg%D4og{r{zZ$x)N~*q4^Hcb;=m1`af1r`!EAV=ePODAT|<_V$q>F7
zl;@HTmPKs3Q`(WE=?|fTZ?-G5qytdLCT5_X1t>IT>@2gmqa?hX<{AFmKd@ePVdx2f
zISo*Vk&JmKdKemEg6;#<Zf*Fj0pj);n@LvmiTw_FuTfJr;onb`x*i-sUe7;JA=l{K
z;tZgjz!4H%X45109#pxZ*i@kC<^)t0DzXeFZnE(&EdVJb!L&sdaK4PL!K{1IVE1Xs
zib449XlGYbUS7U!3kk~q@PRw8sOU%mTj{>o9dQ##H<TkM4YalIR)@*OnTo1BOHXOk
zhm~Fu=PQ{ph^XB>J-Rtd;WbjUPgBuxn5pU8pYw6Mzid8|`3mqp!bgY+@B8BXfBwE+
ziCfPH7mFf<E<%o{CAu%3IB_BqB)e-D=;-c+T$V8H3qy|5)D+?FV*+2@o8k2gtt%$K
zePa*{Yhx6-)7Jo3yzi$9Uz#KUChRpL*5CIYffkfjEMA`jhBEXA{%aUlg!AyHX+=nq
zgzJn6#Y}y)(bCSP?ISgB-m!AEM9-B9&&ifipOp!Fzo|!7Oekp=(o6k8$xaTmAC~kH
zgD?36;<OD*JG}sq#gQHaSxe|;+W*?q!6K$5tjKvz^GHdqp#ECaFzOm%PbF+n!XT>C
z)7M9EFRhrM^Z~Vd;xIi-uyHR%m9q?}kv{VE^$i37it_Tqr1wBVMF7%aT_ysgG)mu>
z>6K-HSVvm7FE4GeYaMo6<J6MMZ>Iom;^^W*F2}^?=hK4BSMAE!ebc<NDt4(YzPE$I
zmI_;fh?2Si--#z$`KCIZr3WmaiM2kHUp_InMBIeW=H3zoy3C*<sB^;KIB>OasFR0#
z*v@~Zn9AP&@v{)*O$9Cut?8v)?&Dz^jPRZsh*dWu(=xzKJ@_$N*|{-_`k5eV>Nc&4
z93`A>L`0N{V1})Ae|~ma+&^uI+wRWI<cRyqkiL#MzFe<vB&?Kg9Nns1Yt(lKl9sht
zeyNoaTByqzBh(k^31hhL_o=ql&ni;mB*nv(Sq<obzJT_mCX0yim_Fit&I?vuxA`qz
zsl|e{2=9vLYo^}{j;Gp+!IZHNvWVD>!o5^9^=bz&zE`JSMWK(LMdSX?q?K3EnB<Ct
z+a5dN0TmwOvmA_)Gn811X5708#~&6q{QCfKF{fSk`Up}s2xrWB_J$Hr$3;5T$z27`
zOl=3t3}nq=>TLyWBK~N@D@#UT{VpW|sa#n#t+DN;{;IvkVi0%<LXxg7g&U`-z+iZ=
zf@h48t3B4q?Z>X#m_vVCzM2olzDjI0v$%STTpnS&5RlmA+BB`yN^P$h?LrG?$~5$+
zFXnn&uP`qZ#yI!wezeav4b(*!H{{h@L>|2>0lCqSOr{+$zwV6(LcP1z)MRkt6`m$<
z)U=l4hGPBZ#Ul1{RdieqOK_ftkF=JnE#d{uOyB1F(Kw+bJRNVw<-0Y#ljJe<_*@k)
zsIl;IvML$LP>E@NcJ;|qgD(jo#*Nn3)g7cCS(Qra&j;Uj_hEOo7f8Q^g4#2WIh57#
zQk+T3-{ef&!AKs$>@~=4|L|I?S(KB0V?n~`Lsp*(a$_0}9?B3wPn1)5;<)eDPUAsM
zQC-PahGT!NGhk0(fh6@9fB}o5J<=C_wb>`k3mdMmMo|E#iCOjuHnQebfPI(*1qQM`
zga%z%vZyH-Nk5x&eA)HGQc}&BiO1*n%Edissrpt|9pgZ!Dk{b3jTiP{iuC7<A&T#{
zoR%e-{F0uoO;~i_vQGNzAugN2WBraeB95x^=|Bi%S=hJ2G`PLBZy)FpeJWB~k%_ZY
zT-75JsQRYm`>}QL4UB>^%4dwlz5;fx)by2W`Lke#EBedT=VM!j!e=uG2CNU(qiv_-
z;6)%wr%~A4#(G>O43+lPT&H(!zygCF(nhsiO+<cyxH#+Kb+3r58u;4B!a~?boScQ~
z`wBhes9aFyx1OFJ_83Us>|>}jkdAW<|N6L1`5<x8SN?5zH=}z521lc!#eObP&<+Cn
zDzzY-7s5=O!fPOX_aL4?8+-J`=?kI@2gcFTutI(4V4GjHq~X&laga!Le~1Q2@<H=n
zVnGrfB&qhWWkEJ(=pv%)G<2}OT0OIId!MB&YNGeWeYo;sET7wObvLzQZwpu6+-LUz
zW4zLdvE+GxiM1{MTFOMhPlQ%UO?$Q)1(vwrfpfT{DnAV7lvjk%GuRGL6EeX*Qo+DL
zU|*~vg~0AUyuJWQ8kwAwGldgqB4x<Q)!H=(kj`3BR#BN<^6(>cvwZ>QU+VI1n<0)0
zLYmYnW;43QAuIF7;<++45QECI6wZ5Rmz)t(R~S7ecBy+bvbd<LPV()~vuw-Ny+dav
zx+`FX6TU+ab^_lR*cIXfi<TSW)W5Qufalj_?#q{YxYiqexah81JV=gJmby+riheLz
zqN<QbD&W5+s;6CES|H#+ok^<8i0)4ugEb$kuEZQY&x&!^rD42YczfY>G^g+nHq4k@
z(=0I~S&P(E;fD_|jiAmk9#I(FagnKH0#F!5dUj8xj_OlE(Zk)z`B=;E-4%gs(cAMt
z+{}pwXr%(#V4+rH1n51g;;>sAuc;y^NT=LqZ@j#e>+f&6nBv~u*MKfV<ltyPg77l9
zN)T5=?o5cu>E`(SzE~#Kf3PepO}+`mVPFug=2u*+w$O}TxwcbDM&(Q0Y<b%m2E2!J
z+pIWHg!x8y!Q=ZXer9nlaw(xV*(pGSUxh8cJ*<Pppth%t?WR##;tt^pF~0$)^y_z<
z!q)wz1~=y>$^?%rik4GrriQ$ME#Z|RCr2m%4b{yg5bZ#>mUi7wYX6Q?Q2N2nq9vuz
z*}&t(kx%9$&-BZ8QRj$uyIrV!)BsF5WQY@kRP8qgwG}a01G1UPP+XQf$3%_x6^lrW
z@l)@wX=lLU7R0$^g~BeXXgzu~?E@(iTBs?yNjRPS)39)%g)?YyQSUkGDj@tS2lcJ#
zK&eposDy0|aervlxNPg(xmH)v&DSb~I^yWz)6}4GMbiz$i>`yZ-}Cg5$SMgC?Nt^B
zu#;k6c58w&u$MY^@kWP*g`t24O&8o6m^4M@1K@QS7DP*i5^eqF%8WpifGEulE&z;F
zU3P?wsu`e#Xp7tWXT$+Yb~U&BUc1e4&UW4Lo2x|`F<g1;<uTHqC*<yoHN<((on>;z
z584|T783wvW+kw#XU}ZOWq;ed>+V8GN5M;i_PK78k%2*C{C#%&2%$wt?MGlh^W^A2
zM_1PhxG6f7Ade*eKsIH70D0&HAf89OakUeM{<T?RpjSJv5>Wy?rb(b^D#D+tpg6!q
zLO~rI&V*b}5LoJgivrZf7SNwgM$XDqr{{)~UY4@^ED&$Z==uuOT2;U3Hot1i2L(86
z&2w$z0gUk3wdxWk-w_U+%pV(C^2tx9e85+nNS!YFW#x7}tk9ncLz#{3r~#ZG20ZGl
z!zBeNLn_i1c@kB<&`#7LQ!+au*T6_m3giKBW?pHc%3Gk#B`nJb3}(nh5o^&R;NGnW
zaa{695_9~MTdnrFm_F=}qeHLoC3o%aefI|#hgWO(MFu7df%xt4tb(ix_?n%wbGjBV
zwn46u0~;X;#lDEh*??NWeC+o}U~s4k<fLV|LGO<rZ{B!hRCpPhn6T*A{Web^`lQlg
zPhO0{iNSa6n)?VKL=tMhLLcx<^|2yFg?V|t56-Fl34w`*En0jD$@8yQDAS+9IT2AP
z-G6>0jLCn-;m_3g@5~1s%TF}s?{xL_YJp>73%ontBQfhdhuy*U(uoZpnPFXokIY&D
zSQuImvkIhoe7R{~X3@%#IcQE*gYAG0{ccMrTBD!>M8HOUERC4sqGHfRoyxu>2#?%=
z1$70cT>X7f!H*sfcM%%VQ8C-z5OBsRXq9h4<3Vj=;`wuOlpzkdR9}ZEz$4#!xPz|N
zwypXWe{7<x|L&FBwDlLrnnk+0x-!{Kt}eX?BAtRePC%dm0Kd<WqtYk6|1Q=%P$e~l
zR^2~{uJE$vjJa6D1v~fZi!R(6;wMHKlGlilZcRA5O!-Rbzn5L%U?IQnf#`X}qpEvP
zF*t9p<H@c1iOMJdYl8-G;3C>(Z6g5MiJ!9T0%h2LFAyVl93Xst{J8b<EF(}Jes-7L
zagF)-J`~N;nh>)HY73L7t>5l1L^lG?)LpFihXOGO?Li?GY<rPQ)g`{AweGPxjn^C(
zEehDJgfCw63~g&oIMJFw0Zs<}h4oK=2H*@SSv?;25}fm_D^MF+GC{9NnX;iGdbm2K
zk@;!Gt|-K@KUV{F6#`&svr?pb3DPtf*Yamey)i&l$HBDwR><0Iv1<r7im6>wgch=^
ztu)G}s-xIm-E)H4+Ey#}!O|AhqCLQ;JqO!WEI6HFJiy6BsQ8b$`F@X*KiX@EoMn#g
zOu|D(oABMppfkUUr1wORW1WYF1iN(`<SQMM4?Nube-%FAGrd)?+{UA2<H5RIJN(|l
z<zzy%&+VGhvh2Q>v=Q*paU5eLzDTI3c5`#%XR20K{566{Y>u6AxZL_w$gf&!Q77(4
zrug6x%}>Ew$Wd<qMC@090$fuQ=&F4ol=H)o59*jvjQ>;2^t?X%=`JA7wt`5vAS>NB
z4Ql~e2^SjLYdrqMu5dMaAO4o0krHS5xMX;~H6fW@EmnsiLb2Ec=<CkPv2LkC(QUig
zn8wGv63<_gByJ!_UmFkd3CT#`5T(1g7?T?G<NGVy9%u~7dpa?7O%R#9W-%23|8{9H
z6FC~S@X_=NLgUd(m#mQ*LOue_=`a2uCO&hDWHQj>L|tpb=f+*YyDY+e%EmSV9?TF&
zD$3vgzgdYi>pN&bSIHMtDE5W^szj1xW(iq?SkkJ1U$a=Ai1<-#+|5fCZZ}~aOzt1{
zWXY~DJWLjAt&h+5GvG1nOCZFWDte<%;Ug<pp}Ha)B^6#mweJUGzpW*?=yV0LQT`2x
zGnwm4mR|^2n=GE0%!8q;kdf&68b6I?u${aGmJ>?sFyE!VY$HIjzKR_62O}(KSpL%y
zk^~kn8uS5(1G7!R`v*&ttnLN|BQ^eGHbH7wHf~-W&6QhGr{_jj(Cr|!u=@9k<Dq_M
zPG{QD_WZw897!IP@P8}f=i`&+)!zZ3;4z7kVG<#_-q(IS<~=h{j{^01k>mB1XTr7I
zg!p>%=|CNusn;}py)*e6_W)!z8)!-x>`sO~&uLAVm3A%~j`0I~q7B@17Z%jWPJiJ-
zWc(bkqFJ#Q0j%lrtaxB9xw`e_&%$Ngr1ZgQ8XF(xWLZN*qy@u~cR{=s%T6fH*?;|8
zoa2BW;2u6l8}I(vP>2rhHH}4q)S^IW;R59Ky{kb<ge?_9NaqVaeAr79TJV5C0V(@%
zb!}NkPjBI(#f67Z=ZBy&R%bHCrIB`+2FimWOD1Cr-Km%2JVItA{6+Z~e}8(@y67r$
zYDWeW15aB$^ipb?`0?Y%ny=|)2y*l^C~+^>?anVQqClAUxHVxb<nqH6-!yo;<<Q!~
zWy)@Cc@Z}dV4>lL;1xIk!`1t4^#SwIt4qj-*DK9I3=~0NW@%~}0cMboyv85bo+jFx
ztJdpY0{*n<L$^A#Tb(23{l|~I(iW}Zrz3>oRs0mS^!f}T*z&3>jXaQFLcJ~Ybaa@n
zErFVloC(k&T53RH@fbs>vv6yHt*!0-`%=Az(uJVhiEB*b`g4@LcLqlZAvjX(Gc9(!
zM4%FFNh5ZZ0oi3au(kZZRBV2|fwA%V#2<zouodF{LwW-xf~^1iNEo31jKlAF^}jq0
zSD(U&9-WP9OV!QSGvQszM~*JRkt%)zo)c`>4a+~|70Us=s6>ZC{Huyx5{R=(Z3`BU
z+8G2aGT=k4&?nT0DVDrp^XCvZ=YB+vVg2xbiYo|i?Ncrgxx95Xx>~vKI^=%~XC`%(
z`#n@d&&k1Q^<~x-xTeRmgKoJ*pf}<SDJ6)BH)72AmWttWtHAW#)THNa`BeawO;pPA
z=j}aXFqO!HK3()x0$j!$tpV0RCVYuBfZ*>+cs-{DA6fu<bUsR1FUi#a-F>PCFC&Pz
z_vG$DzEyY$Jht63y!@JsDX<Irg||}ET>AaarW;KP$OG(I;EODS9O}MIY3jkO1n&mI
z^v|-Kf#Xvy^g{7J@y`sd5rBD(?7-AX#Lc%!LuTX4oQD)kmsQtMeViR%fJB4i<ries
zF9X_m{8mfaA^|1KKUq9-<gv&vDDm30{n=T`0H^ViLLsJvqcLI%k+y{U;FJ#>srCIV
zJ+f;YM@ruH^S*}%0fU@4GIdqHeN6S_>3B91Y>p~Q7J2iHg<@v!_J~b7e(hG|N%N_*
z>$@$CA~jnJD=@UTiFam&9z4erm8PDHiMn^S3b5mVE0SE#R?hv}W<&qGGORQmot<rv
zT6xNl5isnMcp5p%5RRgi!0Yj1IFYaX(W3;=Lwme_%XkPT0uDnS?q0U@YQHYN?38lQ
zQms?>a)jHp(R1r<G@)bn+fq|Hhr&xUqWwPjS`dOVYsK=PibI~x04vPQ*gx=>iv9(_
z0w;40eNr5Q6BNw{kG%BbHt`t=@W2=?P7&<2cK0tS1O^6jCaNm4bV{r~(ATdLx)8>~
zw`7yHh=158W$|6C5hH&c5`EvYF^dCSw+crhh`(xt7C0g2IR+Ind!fKU;)l=W9{%{N
z!UqR0TgY)Yg7I%{-0IxAUhOL+UFhnuQ!~F2?%{^xYoX7!p!Ya@LPyEpHn*#GFzv(&
zLaO`RUT#>5+mIv^QRT(4vv_ebYPV=&YH#8*Y#=cH`5OR4|8D|-j9Wn*5ffv9xR(1;
zqHysycS+tqa2QWPv=cuMDOn3HVkZl|(<mf0FpcGTSEVW7Z1e<1Pu9H9EJsd6!CD-P
zztLK-lF}?)Q4EZ$iY|NZqz&Z%#_pr;A8Zo*)nnu06bdS^j21;^<+i<Jzrd2QO9T}*
z_H$-$w)-1o7XVGhY|WAF_uMC%jv4E@N^|>n^s=~HfnszISnQ(r*Ao1nvza(^8O;8s
z9p$v^yP4J1dukAXIeD2f7QVPl*~kNEQhWHp*Iys!LTbldQ&iY@s@C6CAWLu2{Ql}-
zldDr`f=>XF(LIb1Im-jj51UeU5dU2O$9e!T-}-|Hd3k$+RBtO>=yXAaIKd2Hq6i(s
zr4gv1MN8JaUF1lpz$r^LyQat{(f?wr0z!??)u{<m5VB(pplmT70lyeCW$l)wU52<I
zb}@?EE@=me(aEZu&hZ0%fVh~sHYOc!QLWHdSn|+8ONQ0^ro*t-biVIjE`UpBRwZbk
zTPK#{_%m>KiQ>Ibq{a1{uknYA^2cU?f9!L&j|@!5LXgz>`}<pgB;jCU2ROq6RL7a6
zjfcQvc|M6V^G8?Y=Bg!E4l-`#1L|B|gisf9)ByCUj(FTsr~LEr|M~5IVFd1Up4lZP
z8kSF6tT2M6=L6}i*;@ncgI>(WpVuV_1;Q+U_EfICtSC+;TqDBEJj&iYbb8~q6KDWj
zp=@(qyV+{Yo%e-No8XPH)GSx@<a5tq^Srsg%yZn9g&DI$)bxW33phaA6b7rKG88XK
zztBcR<i;U9OhLqapTWeV_XDUMH?kW*iwpAd_UFyn`iW`9TIXhJ>hq;)Mk7hHN=y3y
zjFDc7G!<A<g~V`hus2v2!ajRWoZw3HnQ;fG$xkHuU0@2B?@F98?St@)I{TO|>ld4B
zJT%K~T&tkQFj;|Qt<1-h;yFv|>jOepYKtKqD_&<>&>M?3axZG};anUMSQw%(>LwSk
z2IF1wLScc)3hte+j8EWd+0z9fnTO!)&3*s=N=^L4(Hick4QF?L7bhh}mZtqE=nRoL
zVk7<X^Kx(_h{21r7cHD(w)r4lH==lk0#H4WZ=Rn9o6~B3W`yN{Bu!pfDrcyO1d_{S
zp-vSt1*(D1`PlKb(8cB>3668GBwG_cWL-*5P7Wfdgf5NhYigdYLQdX%`NF%2Wi?7;
z*t0QuVxEnL{6OuoC{y7l<U(FlI(9lFeSds;SA<opb^J2Vq|&ASkydm=adBIwkwoQZ
zEIv_E{-+7!a!(YgCt@>YG~46|g*c6GWM%%2-7%MSrWkELWF%_31;G3V*6b5k?Fxk!
z0-<OV5JpLQ0jaX$GrLcSYiPs1a)Qufa5-VH{7#=ZU<9aizU7C8waqT{1Rc3Q0*L+D
z5eKhIA#2=awlz~%=EYg0AvkAV_#+alkmPmC6sr+Byt<`?f@!lHH5ARozO%nYy-H*8
zT?&eJWH1ZZ2)b@u?cz?YtXP319tph2*%L*KFnf{Nts#u2BLgJIvMdav#bXflRFDQ)
zQZUP#5#2aLyZ-na0SBHm1jGk@;~^6ewXB^AnS#O_rH0$c=YoY=uWKn)`vcf_=;PSx
zwvUVxM}@Lq_7<PRYxcYfKsXzw2zd{k`xZ^{mF;x6&{w2k;AFHra#T>oFbRCr+wGpG
zFd1CPA_cXmg{nE=u&<i4ohBl}0q4NGdbDK6_TieGF?oQK2VCkZ;6>N@`09#)sZZO1
z(S+a)7vR@nQtCF}AqaSi*%iAFAw9|ml^9%<N+0lT$pM@Meu$7~fg`pPXmu)qihjDY
z41hsE9t#R%diM|BWQhYO*aeU`0)4lN!h928@8OJ@oSplyTptyr?&+QL^vvzs?8LX9
zyreZ@Z<#sunfhvU;?gpt>8x*TCvV7V(fZ?>>!)iYDM{)sGi+><O`r9!dPFO1B69KM
z)o&IL#>pP8g<NG2G7!i(^Jb}LU_@Tsv+v?TV4})lqgipFuIFIh$Ns@Z9o^%DfxK-5
zXfSzPDC=l$K9wA^S+(=++qc<U!e?5ZJ$?GLcy1xi??W&KXJi092IWc7b^TixswcMU
z`3`V6OloW;4-GVVd;R$}7)qXLPsyBZs;Y?~iaDgd%%<0|4hwQNm!EnD1P;@0$C*UY
z9W-ts^54FFn-(1%eLgtGWkO!YA-o3ICXFW`3Q0T{C8o$MzCV5k2-;!qH~royXGaRR
z2A~X+i4s6Yf4UL#f~Ym20SF#AcfcyGhiX2^f4c@q5gmqg@@vL^h>G2$Aya?!i?4<W
zgGOw+@j3e0^Srs4nHG!puDT{wRGuCNM-9AUR~-~J`%$Rl(@lDYlldcFnLReZ#Aocw
z>_&XB^wZ0G58uN8(dNaIbVI1dMMlQG?kr#WIRCi)1wuc4>I&%FKauhYu)t3Pq00>q
zj!v~BIk0ZtLx+kQ_>*AoFu2T`^40{5m2l$u+}VIPz@z6;A&hzt3lIVRb;;T%a#PoC
z(;hPO$~)`&7ZhjL>y?^q_33$@(MtVjmTi?i-srUL9LAyYww_R8DQh|=o}{TiH7+M4
zw6R0*`Fo?HueRTzR#d4v;1_7W?YRJY>#trFi58!@NNY!q!d8JXBd>mBYs>8oJx~Y+
zq86jNmL;JTUdg~>>L^#px~8I%YUuSRmTF)$R^jdK%?37sKq_X^din&Kl=D$-n5-s#
zGhhVs>F4gZAd=mtov_+(hW?XaUI1UAh7!~Ou#_=7Gwv8(!<(v(Nlu;|8(VP%L>fJF
zE~ukT;5(jp%pJUfm!~KCM1gp#@d;+ia*{Dpr5BI(I)S%gDxZM{)u}?RM}-rBjI$Da
zOe7aNR)wJ`G6fCPgH*$7W=WB@|4(n%{nu2|^+QKMvVwF7F1nyJ2`C^{T)+Z~bV))p
zH0g-+j!H*#=}lNrdT$9mD^dg`Dv}5Yi6BKvf<y>NdnWGl{t3@}f8l;YGI#EoGv}N+
z?Hk+=imnIU@ANGHxmnXX4cZ9mkTr2VSgLyz2#A5XUF~YGkpcgi4I)LTiK6Q+4v0s~
zt@>5e!GzITs=cX7g54&M9PhM6wN_RDb+RuskmFI?D%mFi081XG!ilYIZFQ7y-$Klz
zvX0lJRT+&J=iO&}2V@XZ3l=4PqgUo>3xUET&L8(>#X`1~!@_E|dM5CN<5Dw7%mH<D
zB#x{XW|f6WYbAE4;J}M6X*>m;$N)Sd9XyvP<0%{`!(wb~9Nw8^pth%Tw=u_&))VTF
z372`L^x5<0g#swo_UQuT&6pp~v}3IjtCdY%Rvq>p+PoFFF6vJ<UCE7@86pXS)+E$>
z_wLznpqRpy5TqwKc;lV5!v`7>p^9DtTY?VN?j!mVOXYEPu8SXxCxT8%DVv|e$swz}
zA?Q(}KR;M@3X>gtAiVMQ{dnfEM~>Ja<=hl}k!}>PuSH9p*ej(j5Nt%L=FezwGJ}F0
z+vuy&P|)B~Va(pt#00P9v3|Q{O$hk1Jbq)H1#L+JacaK0J5<mqAnoC*kbJJOBAXqk
z@M#4b!HbE~N$v4Zg-c!>D1a*|ZB*aT2?t}K@HDIW$P`rWwKIaCS93oY>@%XX8NOJc
zF9n~dRpDh56hm)|z+kt44#mP3>tn1_;YFaAutAaAc^^UB;<*qz1Lu+(@pnAv&_3T@
zCuI>6>Gbc3iHQ+0uC=Wr;Uwz0rcsU*cyfGvJip#=Ij1-kE81YJdcMGKI3S$92mik9
zX6ph3+Z(go=dUz^;^B*Z?OOo6F8G1`4y++cHD5c_tVh%q2n$gsaDAd5yl1Xo_rF)A
zU~Sql4#6YB2s=AFU8qa&fi<U;OW=gbyD$=_Fg-TjKog-r%~IepCbQQx3hjRLS{(-Z
zfw;MiJU!Aq94^7m!BO-|qKFrNq*5(<aB!dtGK>5mpk}1~zG&tI{?-kh^`(bg0;8_8
z`&Cc2LSz-|GuMb3X)OH}w=Bz1Hs@YC4$gtyk_8-vq7C4b^Lh6V#1g=%23(vi5Bi`4
zRdmc+SxT?SXCLnzD_Egk)_0ON7dqbb@~5>!gmk)1e*U}ZX)yp*2M!C_pcgfz1L!MP
zE(K70q{GMhPf-bmA9oY9M)<f)np5FmXRpJ*T&Gf_#^?u85Xz<&^|HhKHt0%ZdU;fs
zmI>6DrT0%S%*^&x@<|e1h&dk9)&}F;=P9nQr?!GZia<OKR+y8s(@5Q0LVDm?VnIe5
z{EqD{Kwv&P^alpy>j{vvklt_JM#8WS9|A6Z037wt`z5>$s24h%6sCE3tn1*az6}xO
zTeYKGw@nuK2(N_4b=1{!ND{ADdZ-u{6Q(65wVQS>;o<vF!6qavnN+`o=}SWluU?ho
z4Zmes$Q?`0*r$UWKYpCQwzjrRN=iyN0F2jaX#4}MvQoNY*7y4C>?X9L7A1oI3&PLO
zZ@uVEO&NY88EwSvS>_N@UwVjz5{qe*I2<m$hf3lum>eJXx3jk=4NQmEwia=0Xi@*V
z9^&KHZk=0?2W(*j<Vvu|`o+s)mVv7*4Q}tHIs?}cDRAfPLJCdqCD(#V`4l>$$9>qN
z{QyDrD;A!pT*;7?Tez@tM?ASdi+MWUF?fSaCLiH%rcu6zeoZ+2WMgn(;800N=kOj`
z?zU}rZJF^$q@q|rp-rV>1VhN@GIurgUw>)F9YY63?X&B;4&dZe2SRAsukSYEnI0oH
zXFEYF1~s<P6nGE|hcNwi_1iOii8A0@xS6qLQ{lLHVKjJ;u*aL<LS|n&3d5ds9(SLA
zj0e*|18z`9j|N<ZXcZYtr{(S2+-M{O>W7>?c`ZkgeyhWc6(`)RDoRn>vdQaCfk&}&
z_W9cJTOE1+-Qx|kW+8RYgeeR_e6<*_WUsxsA~e%Vc!)5zEY$q|nx7vu`_>&s?45If
zD<<?04RK<TlDbcedX8<G22|<+J|h4}cxbmp9%9&1IF9sPi~0yuL3p{kF7@_)9}r73
zq3m_@1rUnj3h`1)kRZ=b4Zk1%%p<m^rp13}0;qCS<Q#i85WgBAD%ZWdcgTiopP8A7
z-=@=#UL@w{Z`1T1b1nW_j^}Y%MCo-k#!|@3IbT@2<C$_v97pT2?4d46FHwdrqS0u(
z3sFUgO`Ds!70oEsHI3#gsXCHL38U9mO7z;)LAbHxOJ=%HCjd2GEpaLrXm?(IEVU}m
zkuW&#!^N7CmbQe*$hkfu4;gZ4_UX8jloh5U8ZqwWOPD(4qb&sbM0uTUdBPXSp3r~y
zyj43&Mc^|=U%|hob!EOvgU+On!C#!3|6@^`{oRKT%0VA~#9~GW=FqB(0s(cUrKQd@
z9RW~-h`(UGYnSbc0!^E~zUcq2`~rSJXCy1ZtPY4CV(4=WXAXEmue+Dm40-QR<=cY}
zOlRj_Vdi4}*iVM^x{O3l+v2!E)WUz<(9lrBZ=w60WLc^_U6ytnV1b@zHSAOBD!X>n
zn5z6sQmrrkJ%En5_2-C3`gZ<`MZn58z8B91=VnSAm8lnHLcP|Krw~Y^({)wD`h^Qk
zj>KF6_vPK&`c7qL(bjEe!G`pY{;Uwt9`FCP_r9)M8>1O>SbB3a3@1z@Tu}k}BTwG%
zzg5%-4GYsok6!+<9pbUR&_kt~EwmMJ2un&vAu~tb$UCNpBpI4iHj%n-$jig2+7NIy
zxes|za_wi{ie74--4cjZmq%*@1t0btGqSO<@%a>I7pf=_H^L@p9#JskE^7^BaT>dx
zujg;93g3gn!#vjg2vhxz!aA#aha^@1>9-8AiSX#<T$=>ojy-OhyEq>Z)-iWDk+~=0
z0_unAuR{Nva_);eUgSAfR<;%njHmlSh?81S5H&y77~B|62(9tS67d(`;kIh2F>c&~
zB<kPQi;U`Ev-?&#Y?Qjt^o*D*CB<jTAPcBmS3;elXWSLi#!WN5Qqt<o4FUM<$H1UE
zwoZqY@0ZWh%Ij^K7q6g4nLtD>74C)Q&g<0B&_Gmu+D<F=DncmMj@|-ptKZ3b4v`)n
ztJY#&KZAmRyw?c1`*G9v_l^APn70C!9@-WC79THptaC7W&D{e;z#Cv@ke_xMD%ZK>
zOMj{-Uo7UCM*4JbEyTpcbS~nHqMR<&mK?g4Hyv8M5~fLBUJjYH0Y{mzFVC|g1=%`O
zOxufc1?BHFhzA4lt$;SR#K7p=+lWse2OqTNnLf9VI@m&ubf%rmqlU~LoA?Spf8J7Z
z)x*-ecdTVT+PLVmUx26Qno6dkxlgykv+U4e=e{}>1AQlcwqWPvyR`>=xYw`s?HezE
z%mvmOc3uV;I{<D2d4-&haJxO!sJ8BI?PI{UMn;f&e_Lj^`{Xw$5%nAiaDFAdQ!a7u
zL`tW(E2h8MH~B~+bb_i(XvK!=@95FDxN6)z;9WndePR~k0$?>YUyOe<Pg9@c+&Xu$
zbMlTnA(h+k`TE`=NMQ;k?H4-%57vDUf9>4sIeKg%J7M#77_h2IXJ;o}T2_rgkH?NX
z<8Is8a$`=%w~DRIEtVoVltAo!9OP|p3i<}|J^%(b$aO8h-D4r?ia`u#Qund}%w}I_
zN5||9i@4Cx&_xC?>?gNEfvrlN%&l@h@XC%U?c(YKw65wHA_Ecl_SxFugV7cM?%25e
zPw+H2u$eB*5rk=gdwYPHsA<)??vk-o0WhkfBfv>)@io7RF+?8O=BWuvc3TKA3oo71
zfcmSq@Bd4EP;r(Dx(70l!m~>^|I!>BW#|;}%W3+7K}hn1rB8At2Bo^9VXm*Q%3xIC
zN(*-x@<ZGKXo`ojm#uBxz8?)xHe!!7)LsGAA%{Ehewu0+p#)0Ls&SLJ9Qb0x@*51p
zM6PKSArs#?-A5;<11q8&z9<L6_aHQ%E;||c<MjS12i6@|vH^+yCyCzo{rmSLkWbO$
z*ca!r-7916(4Qn=B8C=Z!b6OJH@AQO`w0@gmbwQpNCNs^zkcl#Etd+PXi@Fp4wmBS
zyLx{CQ0!`qb~NJzdSvr0sj8M^D<?@qO-Cp4xDtE8IB;<0QTGC!oX&{FeQ`&RrX_eA
z;md!jcTU`igEkO&K@!8@a%bD=)2DqPBsQgig4x$zYL+L-Z0hfXX$yC!t=fy)w*i0%
z(pT?&kacHG>$W>Cx&Q8JiT_(SU<2B{X}T$om$}-vN~}eyt?czk0I_v!N8Q&nbCua$
zlRzx}7+IJ&$dn5MD|{mE3lpvZUZy5{zTMv#tR*Xj_t{&@<*M>oL37vku4Hyw*QA6Y
zX|9c7!9H5o=k*)e8AgnR9Z42p^w_ucbuWZAXKZoQ-Me$PgsJLiSHGhNy7y8pMFEV>
zK>#pu3L76HjHWPOJHr?MV{0pQvECIpeU_MlM9@8jH(ttyDtiNXW~I=%^<3NmR#LWJ
z812p5w?PJ`RotQavu~iUSERO<R@c=ZFXklYV!MB*%ta~qIt#~fK%r35?S6M)a>qxY
zM@4X@xJU3sCh{lHAg~vM!K^*3+_XeMMgN`*@OE=sHo(&YF$6pAF6I>GAc!R1Nx9to
zMVk7=;AHKTvKCmGoYrl1@*tLAg~rAYqqx=tS@rrcW+u)DmHJUpNB+2a2ne3{AY~al
z;G{&KTu;9y2?%y#iT5SgtB9gRB_286k7}h_9C{60>YPFHFg5~H_8;kQx}(FYZ6!ZO
z*3?_JA83p}VNs3%ic!)?I-QyTlZ{Z@(5MU7;X?7Qf!y<h-I0$-!1JXj)gKI=7uOar
z)7OUtg^`Aat_gCMEi*|-DUX17y9^SEJmNutpDdMW>Pkr|Yc7NDzi1ad_!@8mT$9WJ
zzyJcC1dr%TSi+DL<5Ffhi<4vA7=Ufx+eA1Fntg$cJrx{2rF@3*u~fdPWEbPFSt7Bv
z)f!B_OuN`Z|9^44c=LqCFh(pht)n1$<j6UorgU=8p^b|EHTBq#@j@nW_e|<gQn5mn
zE8IPgW_FF|8pLm*RIz=3P_*HR%lgB~o-_k6H7D*eNPR*=!l=Fv)008A2|iqQneVhc
zjxDoS_wn>e#(*a(6PX$BrOdzkeq+}SE7P!d(rdc3iI7KRW>;_eb}3I{H|N$AFl(ix
zHie9s?7&ZQ6MKY@<Jr6u26WYKhWr}kL~i3rvH+M??xHQO#4Vi7*YZN7><WwJF9JEK
zaBU<dBn%nTCf(FI_eHQm!4lV)qmV9>{(c8bc7oj`QFXCkEySQUj%2zMV;81BVh8I!
zI+G9E%nFOpIe*~yzC}!KbfgUzf=kC$U)F61{-CVzUX`G~Ys(TYN<6p>U)W@#&|vH+
zs1}<i<T;BsbC%(>LiSMzt``Djwjsw}|AzTz%YMIknRXz8m7qs>TT1z)dvO#<F3>KL
z%W<X|k(|i(2#4s$ribj&y5#MD#<7BP63ZQT{%?g}c>AGl<C)_ZZyvc{SZ`AvIr7M$
z+&~p?^e-QLCC+qRa=<oRo7yMpetmgld|~~nz*lFz*`>UF1m8=ael~ILm+jBy^k(nx
zei8^S8C~jVF+L2EeR>o%Vl@4PJ4X<CB!|;6*v#%Nw7pTYWcRs`&UFq0)v;KlA<2gt
zg!2sYD|>x3(*x6S`3pK9>xssm@*Ja=eBncp+X^INCU5~bO<$tcbyPJf`eF3Ei~{Y9
zVnS%>kHfO%h{M(V%*dx&w3s3mAr_zH&8Fk|2riO%x8!R!I4O}^2lI8|JAZ~xH)<#l
zcN$CHYQ|c1A)CMH-RJgIcob!SS3;Aim$hzS-5QEHKbExE%Yo&`L{V|AkDh#q-J){9
zaIJQS^=`Xn(>BM$xr4)63fr+9ly0WAG><J*vMJdE_=F-Pk_jX(@mLRqeJ0gRm4BIr
z!G3z|M6=B#W?H1!+r2%$ktM`K1lh>oLxITKsE(n1^U__lletCa_qgr2_swH=*@Z0H
zaD7;^^WRn-N0`yT8w;hndGs@i5M=89zCB86ChzQ9cP=$pPG1?7lBGP|UNNM)J#0i%
zV_PInzY2sYa(c!{<TXSxp8u@Ol=~MupPNncs6AHKy6hxm*yn$CMn(b0+W+t`HG@9e
zbCE`or*A??XO(7{iH7sZzIqPGQ?`ol)`W7bho_?-T!<7`GF#Z(?Lj#G3@=s?)fM67
zej$>&$Ryv_da5o^Gp+HQdbnBQf=A}+d0~_h<8ddR+5GwMHaZtt@<juMVNPE_m{1;d
zZuMpqk(rYp*WkrSZF8R|D1oSK{>NW+ToYEMi=UR4Ix-VQ+st<NmS<(N@;#5&9nD<X
z9utegzSf|;5hHb9%d;oL<gJYr-xbO}E6ZS2Bu8lH!#c8$Al+kUXFA<cy+9Hq47J>j
zwq`I9GfRP3s=e`-teSdAb;<X1?om8_nvXU>8<-bZsMG0Z#*krW*%d2nmsR=}V^-ck
z<K&z%ZaeaI0)DkHS-4NO+YZlTBz5sCM?#R|UuCy%13;qpzF}3<P%=VP_u*>OoUnt5
zgB<Fe8h!YB*S&kc-dx1^-#0(Deb>BUW7TuEN%^St%ng63mwOqtGR2c_FE{U2Uo)=`
z%|1U-rAo9ktR#CkI!nuC;}HNAH!_ZUQ-`@_9;TD+FwQd1LvajZ><g*pF^d)iWBhYV
zw2*n&!qKDc=(H~gryGvF$#I=?h%SQY4@H4H5vrm+V)Vk3+&>oS0sDJW_XIQF3~H8s
z8L^<-Y(oSM=Ovlrj9&0F2FeZi7|Wni8IpU0{(i?ywY5Ti`zIn}yFhxWddeH(lDA(c
zFqKqRg-3_XQx%?39)`^Kci`0_M6WCGqLjEl1-{DJ*BK>{Otr9`$3wAs4API9{VN3@
z?48Yzt;ASAJ>+=r8}*rmD7wDjhHY@F%B4CxIA4gAP<%S;hG&5q&RgHc?mcGRc<UDa
zbWYDIx;fdH#ImD*p{HwD>+q5&Wq45`k!Fin&|t`VeHR|KU~uEqv4EJH<>@lj`#BgR
zRPr62|Fj4-LWDy0lsfCPpKuuZ)_O>?^SYQ96Z^Id!p`I)ZWHI0-F8gLRw!$(b^?Lh
z?|{@JM2zUW{s&<k8qTXO`AIb|3&P7nNuI4|kF;|>gbl2-K(WV&M1RF7Dr;ndhjv%h
zCoaYu^j(@J_a8E*<I*eP_s_*>A8Tw1n_}_+zT`Vm1^Oj+2m&Sl43ikt{<==<7tH(H
zj&+tp>!AnRo(igAd`^dGgvI@&1bEJyl6@U`mIt;*#0=|YK7FLFlgNmDL7KepDT-#q
zAH(x!6*s1mJkEXA+kzs+`U4J_-X%^8weM?li*t#y?l%r^0d)f?&iP-8|9o(vptvI|
zS53dq%g^@W1+#?J=52Wgg*r<=9%9}D)$NfzB+6GUm3y&naGkn^6~tU+vaj(M!!T(=
zTp_(UHcJwO!hQ>&X&+hs6Z-sBYeV-*As$#?>y)-2y)a{C_HWdoATy~yf&%{>1Yp|4
zxG29Sz?j7U|Am88Re*rB!*zW<i~rTrKh8xlb!U#52L(&WGlJjO4Q}bzU2%y04;7j@
Ac>n+a

diff --git a/reference/ggplot_sir-4.png b/reference/ggplot_sir-4.png
index ea3aec8b6299723e218994dc9dba0bf3f5c67f1f..994de48d8e48e58e6d985fd3f5e86d505c26bb88 100644
GIT binary patch
literal 40116
zcmeFZ2UL@3w+2d4umR3E3W|_X0*E4rfOO)>C<X)^EJzKCh}0k;Erh_RFjj_yB1joW
zib#ooA<~i{3I>HJB}fZFdQE5v5R%+Ci2wP|J@>SA)?K%(!;<3H-nQSppZz>L-`%se
zmNHxRY!MR^lYyW9)m}_&W4M@@<dscQ;7Cu(Q#SY|b;a89SMVErEn8G$z^~1LryYaE
z#FXMi-{J|wvz}sNKa0VC{pEak##A3B$<+Z3nWB-xh7vVDxJ#6H9K3Rca@=B%roKkS
zX6$m}7MjuzUk9e27zA8=+F|{dcVCX7Y;<hwh8;g^#ER_;da^4}KGxgQyX4fpa~_3y
zve57|+qPb@ph)e7URjm2ra#cr4I^X1hqmZcT;=^ea6QYbxH{w&t*al+am~7E31L;+
zNv!qu|F=K39=MN|Oz3$3{xm8wawQG!mOhk<HHE?HMULfBAtA50r_q*{md*zKQS*h^
zni6`I8kLBRs_6?5&d`gUS(6Ug4;2kcN(dw(eWeT<290ng_VC}H=nOT^48}#NQH}Zn
zxSVHXNznvS>^q&N6vK;T_ZqTGpcvc`8Xj#-EnDtX*|U4Mx1FtRsBbZ(kU%;@rNXlk
zhwfEYR^r2qGxHap(N4;{hB)Cnc|qWNfl-UfemwLQ3Q<;8j$Tac4CsF4?TGdDDMrfA
ztSwjLi&Al9@nRN~RX`}o&dfx=Ddjv#PmlD+rm9yGIwv#xrbC@`lg`b%pN;atP6oYg
z8fk3J?+YLwgQKRq31p&gXGvE85#@^w>vZZjFg9K>WAU=gP+E3aU7G29ljWk?nn74Q
zc@VD~+UK_wz{{>Rr*rE4KOZqR?oQ9hs4<`x1P2GhsyrGWnZ;*nW!jFm!K2lvc45_h
zG;_K+{HUqvYCeHp7eK5QyhKHT?n_HaWkogXclMg~a~7b8L%FNC+1c4AE3<Cj+OqI)
zV4LqU=nHA<iU@o+o&RW)4=zV-IdgfiWpI2x&`Luee$C6vdd@xE#j4BRs?zH9R?&^7
zPSyvRHgi)@ja(PvC#oBsyS!Y#RoN>WTB$>gh(|V_^+o@J<@?f$D%Ig?>gotrU$a7b
z<oL79O`_W=lq>y|+4EM8W|*bqJ1xYX>1v;1_*_wAn>zg3wQJ^jM~<*ls8njFdIToF
z&FB!-lR*D)%F+_0c+4-{3M;o5S$khiO^pM~iclJlQw&(T1@&EV+yS0^J;lChdXiqu
z!|dXj$3Tj5cd<*J6Y}WBgip(Lb#-0i<Kshhhj%LnXG6OxgGXI0EG%g7xjNhYc^-U5
zGq;A+GaU_uOG!zU*p_)*x$?Ce>UsV87}mZ?5tos6b+pX$gH|8-G1F*B8*RbwGB2?e
z_6ltygBwwo#tPHUWj#jGmJ3K7&NsMOMOA}zQpc@#bA1p@fNVx+WdDTOxV3?&yAPs&
zqVCF=OhyuGb#Q*=A}a^o-@F6Ka}gbmU>3l#q+7zBz|{l3h>y(Lu*G6!%@mfY@Xk1)
zyAk!pBl>{ZCl@gPW<Ry2*k9BP5l~_!;~5F)gnZh*9wJg`g-uoNGS|~<hnESMb+^2r
zR5qK9?{LCjC-#go!uru+B~ApNkZadQDiRYDbsHNRlo!d-s9J`DwFYeNI?v2a$Slu}
za!bo}_34QY{5{Q>Um(|uYO&+{lP8K->C<+`gW7m!^unQm_@0l{{AfPKJHNjZA8AJ#
zZtyxx=9X-PIX~4Hk+RF;x4_I<_xUe~tBmT4S+l8~X3r3d?xm~zN?0{7RyT{o<-Z8)
zPF15BFDfE-*?$fX6AncnP8ZfPEe0@WeToq#S%c#DJ>VN_a+6F(9R{;%KP@{=;zs3=
zC{wgD_5J(z8f|TD5bL>gUwkbm>*gd~rroLE(Q0|I*qO*kgg!auA2~VGSB-z1p1v{+
zg%~!Bn+?6$s@=PAowrcmr!va2E(_9Wh>Lcd<zl#%i<6z?mx#p~(ozj3&0g?Y)Yl@C
zAl+cKeKHzd1kNZM34`G)L>J{<zwju6>P|eOpD299s$5!?r(^9F3&Bd|N6nmLVOo%+
z!KUbrYShs0rBHdU=!6$y@zK03q-XfhndAM33p!HD%gf_Q>in;FT2k$^3^3t?V9TA(
z%g={B9=Z=a+yvCI^vb*4@b26snsU{(`H^N_IO(jFk?@kwnnSW~!)^(8C~;ZtfTD0k
z*_iiT+_A+-aw4?&Vj(Yl#WdsT)2H&#%A5`#*NhzH;W;PY!<L1cMf*?F6_}5bqT-W7
zxiuOhYd5dFG1$-nKYH|N*_H6{CD+`fd2BDqzo&v6X^P$j4hPw5cv=@PmVra)`Ln!<
zjzV%~PUqwzeXmc?EAO^4D6Gqe@W}hZ5z*sc>gk8dF~FX(!^LwBpbk9G%E&PNG9D5M
zxA#SNai)91lo-gsKsNu}xpNk|NvR8wwa5_T%rka&5aU{6=VUF^vZw^DiGHMKX2z#O
zdEgFiR(+2Fl40659>Pc(Y6jcZnO@>r%^P`wB$-kLX=!N*dwC{n)1s;W(6!EljIJwN
zcHq4{H(lRNrhWPHrMH{liz!J8f@AH})2!znLRqHaY^LLm9XtBDx2cV-qk;AH^`p?r
znhu}Zpw1H4a?31MXf^9OfmE6lG&nRgbRIj}>6A?f9&O<z2y8{;6tlhn+-E>PiQfiS
zZc`>ad-kjr>Odn$yQ5`yLm=eC2~qf)p!W`{l@p)oBE%w=QqoYu+$j3%(!_=u(Qh#s
z)o%x`9}w3T{r|Yd=5TS*AA77QYtHu5S&21o9TWE>du@bzNip)G3;ufgzmNETXf7lH
zz`6glZQRt1O13+iG-QcewZRIj!dQ&v>d@(Qx97C6vFnq-I-@UOJ3E{@q01Ms2_Vk(
z_f_4TL~mW}dVOPX!f6uaTdZvzWQir-tnRZj{b-i?WJnj@G9Fq@gtcgV+vF6ib6wAP
zh+FcIFFabG+J@7#n_GplTnRoMscy6P98725o2#g(OoMP4P`v0tpv$Wn8BukyE;<GV
z+(obnU#ak1LO!3&2SHPt8(C||>Z|77g=^W)4S+8PNW^rW&65<>$~^i?=zx~UtOAQt
z&Qo~vFyVZ@`ts5$LilcO_=5xJ;YEBW%3fpmAw0_*JbPA!XJcbidyM)4*V{e0*fJAZ
zU2NY}0B58QwL?2qHR8G6#2&m&s~eaQ763rL6+P38^r1cio%`_7qi7nB<VDN+fE)U#
zORFiPom<-;w(h_&WoBkhe}o8Z0p=S68<zyV2?8+#z?LxRavM||_3n_{4f<1au-ia;
z$?&5F2E=G^g)e+!X=#Z85SBNVd}i*WZGJiDj{&!&p@z?&KQk`-W3sLeA13w&bw7;*
zv$Ehc*<+<aei<=8k`_(dEgHAsjl%^o2Gj(aa2W;}i82r&A4KHyfxIUH#wKzlt^D>!
zN+z7WH_$e7Ci9J%drxZQwsdM!Ee2)*=(sRAIB1|WuPJ(vSlL?%hSQ|Ms9dMnM^&LF
z+^LwpF`i&%0=LrWJly`Ya}pgbVE?XS+xK{=rk>~le9X^Ofxa)j7YD`RaQG5J)&<|%
zh0h<?0PfFlsa-s&NBM4eVtHSHI`v6hd^|Z&$mfQIO?T^?nVQzTps(PMlD7cQX*PH^
z+rDXHxgM{19$egi!Pf@srNl7T)t!GD8yibJV{1z?r}9iPTO8q9g#@=_09f|Cyj*_{
z8}+<%(p67Kr<9yMzdEE2i*VBzrt*s-&Ira1PcKATl4Ya+XwHgi!j+H(D+AFTyqRo1
z)y{075HaOobV-kEKH5v@L<lP+`7aE3jSl9QnUwS7rn<kM7su8`M_-HL;mwzO+tkAr
z3-@ZKqhXQsVDKQ~3a9)Ab3zzC!epR$7i4!er($ONYgShf5%UYPd&@g~rd^2veKL)~
zXP8UQ_TntC03?8HLL4=QT?ur%A}7MZOk4GNaewS;HI#KYx5&8ttd-+$zBa`->o9j@
zWo27z?d;U$0tVTCW}1XC^!4->GN6#D5My%oP>X%jWOd(+CHAVjJ97eR0sv)+jeT5P
zoK_m<Q%@Q^RLi+ys`W7V5v@7zN9-YkHDQ-7piLu-L!Bht_RLUrL=RQwCiw#hBW%ms
zDXy*lJ1?8_@q?9yC7G?zToid_LycZvFLO?vGq3Bxn(+FS^5HHsHs5SM6<A(7KC&$z
zrZ3@UyCL|H1G*-gY^U^0TXos85p|Zi<YX_7#QK5A(wAxL<$yJSMtCc4yB1dARQv$|
zWZQJa0Pho0F8=pE`=)z$CX@^VnV(Rvk+G$uqp$|9!k#?<J7Cz%I$i8l5Y9V&iXC3{
zOb4^7StJvOVkdoLUESaw0G`t3<$hnYu_beBEv5}NfXM5D;*HDD0P`Yf5Ju4R;-sL_
z)h`4<;_&0g(%<KK9c^WR5ZoHVoR0Rb}x&c$?`vOl@8@ME(Z?&|WaviyoSo5YIJ
zp<>1yYA+Cl%^$F<yl4QLgC>-SZp(dMt8axf4z-@#eqQWqc6{~;6`8#mBm=58r;zai
zk6Bj7)>Ml?TE^UBkNGNhlr(0yasm0SU)Z;ES>Tm*eDD<~nwwm!ZZ`Zn`c47e=d*&Q
zxb;yc+Auc>qbnSJWZ@4m7_kLEfxdwyYJVDyn0Geq4cGJlPy};?Di6$~173FJ-926G
zD{GBxvykSI<|kgpnJw~G8l$5+8)~$pXYUIqK6A$7t1VlyogdtInk|*5{5p)kvWV%%
zM}{Gy7zraw7@4grGp~9AmM6Vx_>z2Hmx7T{5Z&?nNnHcf%k1pkT$d<;WQV1cdQ38k
zG&@WZnCl1C`L0~px~t6yGgl{!SoxwAd+1YG@jFs1WEa3b+O~5zxbkbEfET9ZgQyG|
zcEC;9ltl~buJ=FdoaCRvzH%y_(RncYJ2VyibsyLM%*D-j@sPR5H?i3%E)-EfDF={m
z{+QpFBZfjQ4tNCB+$7i&@(_a6O_+R|@AT;5!{%grMiNv~QZl<&6t1AVckg!80V!sQ
zeNzNHpufVuN2MfPY4>iUf~2xsdSn+kK#F*dUYzLYw{4wVjP#Wy_^)Nr*?t74##aXw
zMD1Tn2kkpsMFikGt8ciwyH~Z1w?pNi%crpy0lowlSgOL?CM!!K(<5E6qabLBprNsu
zSuL5q5(h<rG{rh7X=f#X{YaZKWIqYbGO9tZVdHgRXs4v4<Uie2J~{{Gd4XiIHQRB`
z#?}8;m1hHYKsKV1ZRVDt08D2M$ysU8dP!*B?{WkMfQOwytfD2`Yr*Hnp}}xc;!viv
zoU*B}D7qx*jes=D2(E=BIN^H<zMWHvqrg5)070Oc+iPfKWRyI#OrU#B_g1zEZi_}r
zsdoyJbL5r7c;(XA)w<Qm#~|);ur6l8$ny=2jY#Xc)4Xx|bPo}cJoLiSS#fQ4s#1El
zd_#LX?))#x`}YyA{>v{0VuAasIlD*CWY1FCg-%nvm_}c2LH^z|f~Zm?Sn?Q^P2u9v
zG3HBc@>+Itf4?Kig|ALXV}-B27yx`t`N8kAXvW3<19)wERYpuKdea$V_i&DJn0qNp
zQklp(?mFcx7L)s{2%N(<oQj@BbhdtAUg?)Mb<52g@(}up8c*5gthe^`|6B3t^H|^!
z-W>r^tsN??NIIG^R0QR!EzdhmN)y4>@cjmoK#H_{0q*AD>xvt4hMNO~gb4!_3HNZj
z*I>iLLf>LmF@dB>Rf03<)1k1^PXxd#^+L1ZK>&f(@@Jd3iw1IO3ouN^eXXjoJ0KOe
z)<{*22*nP=qxGn#HHJli%F>bp{KJ1hxE(&y;$7>;`T)M$P}~{x73_UnR5%Dv9hPp@
z-felF@R9-o$@Lq-w6{=oC;QQ(M<C$QD*(&18Y;q`#2)|VmKH7TT$jgJjj4HnBs6ES
zqd^vlx0#!R5;>8z<<)%wg-Jm^Sgxv(KJ_NNX#m|l&GE&(0vR0-C4%PD09>m@gcUEM
z0f6kEC$ZK%h0**+UHod@$GxJl8vX!)AUDN1!00g58y=dFkU)+QK~U(;(UweU(bhdZ
zmj_LI^28anhVwy#!%@7IyLa#6RSN(PL;=5$3l|)v>H@dgtrCa&4XX(FPE<UBAAwDt
z=O#kOLyYb41X6L*+}0-s$gE}YGi$rw@E6c<7;uV6EMwJoU+_F8dhl$$4WQ>jm0faq
z1xhBNQ$}A`(ucxE5=<-=$w~IOtD&J4P`Nve&Q=-@4-*plLq6_UOCI0<xHTLwJF;pK
zme_p2oA&ntm<JfefWE3&fcxihtD#tYX2eKZwsBEUIW8wDsPBY6aIT}Ha@vMp+aJPP
zOrlKUoF=zorx4}Wn$6%xjf|E-#^OkzTl0>XiKfZ@E&w`1x6gri*Z>vkP}}5uv*B|k
zP>0a!K7RZjF!o7o)L%(+7%+iCYT`S9TOB%_Sax$^fZTv6`}B)|Cm<g})t9;82p^bT
z5ft&9AZP#yKP+%83PgzOVBWi<ZP_c6c;TRZ6KvY6*<-e*`PpbvSC{G{OvZ5bOs1fn
zkEmR7ATjWf*=Y>!+q(t4=vN|CP!lxljp451E;9P@k+hXBye!fxgNy*zy;N9Zr@s0!
zmXZOM?dclF!D_fBFgiGODLRy$RP7cyw}adUIIZlZv2zY+e#JT71-V@x<lW|leHW!u
zVZ8?TFlR|s(fpNX(Sr)tD?~eS(EsYyt6i~@(pe6^=!qZlQ&b(>d<fA{s)aaG!}DaZ
zK7n3vXF}$`g-S>2`;G#@3m2tbEoaJtyUILM1HcciN18`r$4aTwWU#Vzf8(<}O{&m?
zayPeA+0Y2yA02IbF#4dOj;3{l4^{<c0x9nf;1>R*ncnRqlar9WTQVB=b%V|qADAlj
z+{y*K!OJ2<uKRDv7bi0!YZ^295B_LaDzZdC)$4<0FMz^uLvtX15Qd1T<nqh)aX7GU
z0&lF4F}WDf55Pei(Z7e&43*nhotw0CYlmqdlk$`s*q=CBf$SF~L$%FBnDRO9D!=ZQ
zH0?ANSRewVAD;t=v|1L4H{$}b*|CowKl+1A)(apHG@|d>_+lh6$^H?KoMBxo51rKx
z-BYX|%&vwDst}8LKCB1O(FGB!Hts}D8Y+qI@NI4>f(KcV0f%~hF;W^A1um0SvpYR^
zj{idXz9$ABhLS~<PzO7VkMMgJbdJQmvyZHW(S#8k+Ku0QYX`$0Nozg=PKOaS-#j`}
z7s%ZKY%(*xJ8Y&m;%BO`YV7a(Zh+%5@0eVS)}>Bj!H!u+#*V(|xzz#x#vnP+`+N~}
z)TH{B)N;B}K+G@zOt_cEa3@G(A}z6g-LJ-rtHW5ND?UCGskkWS=azXuN3Ieqd-5TG
zT*M%-$@g`REqu7gni9NO0es|QA!DPn`HD7f^@eC@T@}Kt&jzdIPfORh#Z}tLKTp;Z
zWT(hPfFnnd{IRXpa|O>3n_<0zE0HWr<mgHK>oO5<S?R7xeJ7fU;V$8FrXrvr7oW@D
z5Z~Ku-=n?Q3p{Lyym7=FRUH!P-fdAB;N|6o%!EbFo<IYD^aNHjdnv#jNIAFQq%YH<
zcw6kwLl-j=b6l;Kr=I#A1H2q=Xe;0h6LQxijF)=Ac!=~!?rJuS_-Pq%?iQD)iL!)Z
zm&&<9I7iKq3@nJnb2<xjmxoYqg45QxhIqw2dm?|qS_6Oo4*sY@&bFA){RfD?Vq)Q!
zzHtI(3&}*pM2In7l&}I%CJGtz1CzqXFkzwvx}l+A#7YBcg#~767Xa|;P3(gQ4~i6k
znB$-^TmvN{dn%^!%HC6e^2S+dIQtZ*Ds}f8z%Sz6_|wo@kX(<P?O9_&mZ=vDZ=Naq
zUF1e%a=iifY!Wt8Q<yX-Y!NO3Ff7?W9b$ZwJJTm^t$|4#T7Vj8AxNua<!_WGfj)^f
z#e)q08Njt*<a`3%0NT|vx#)&{R`fnID=XR;iw2w^iZ(Dk-=kBbL46V*7nfxW67lYG
zFWNAiL;LtK>grP`(a^=Hz>DLqMny#hgS~DE7aXB>Vi&NzPp<B#9s*+8e7T2*NB{i!
z52dB0l>m|oTr`HUrb{_Pm8MJQzl13RhO<Z%mCRZn|JTV)o{pEOY35r!0I^;w08r1#
zh2ovZT!_`|i&ft_PUU1k$n;=MTcfM~4aKQS{C$m|Wd6GEf2qy?&vLYTE=?&KW`W?|
zhU*R8mMX9Ud>k#_-~j+-0i@*-2h|AI;+r;Dr0Q~bb)TS5B)AaICjMUuxAna}m2h+1
zPzK=Uc%?Lvm@jteMN0b?h8x}it7+0*2$I%!1N>8`PIUwRtIuh&(WhAZOi&Qk3tD*v
z5C@Y08hBeiy7~E}d?tNzk<>f6XkH7rR&}*XLux$uLZF8TK<jZz8A=Dd-koYu3zSkP
z`$OUCYHFmE9L<n`t5=7T#>c6X_fLJV1sJb|3qk?DK+3`l^z|3J?VG+anOf<OAHPNe
zV4CDKiBw-E!b_}!Y_XBg?W+5t{fh~;q0`;{ib_h;s+EMc@tSJ-3JDO5LgW4vXxG{f
z4jM`Ga_eFleakvaR0+Rx6VKS#_-DYPdIqNd6>Vt_E%~>2(Ta3{`Y>L)5-u>MHaQ1W
z4!^RH0TVDzpc9krqc4kcU4GWu1`GW9BfI5L?gKR{U}*71HT*TIl3D;aCx|3s%aB5N
zw3py@@HUTjXj*3G;eX~T%}8scr<nD_7z22I+p;A*>o=?A_aeeo#TK?sRRT)!pQuVO
z%y`D&zk>;N<V2J1?(JxgVw-0;P2!X7kD8e9vQ$7meUS!<_Iyg34&{|N`C?5c*&HC)
z$jNNmR^u5IG`9$6^pA(MSOqx(0zkyo#>psVVTUZ{Q7bd7(J1p}svW5)Dd-f;SNZ<R
zQ{uLyZj+TeY>O!-wa^xjk(0uc<O$b#O6@2*AP*1w`tm^ZHFlDG?exl|!$KkBBPOB|
zmtw=~`m4(a)io#LB7If_!6i=^J@}xP*Rvv8=SInd1el_<Ifn#MtYMWzC*L|5+@mU-
zk;e;@4eTJJm&vGsJMsZ0Eglk$U0Atr1g9*u7>LEj)c)x&rGqIdv{d_x?M~->Go79b
znM~%?!a~R#^O&sM|4d>&njc!tS0vE4LPP+sqDP}#!Y$o@WV2o5MUCNlz&g^)>NbTN
z{g9!5WN8JEnY;@~PLles6zjI;OuePsV5F;G%7*X8r0$?3$ZT_Sv8n`uW*%k;BH|(c
zBCZa>4tmy&l7y5bdr}feXVqV;LfE2M_H}vZYjUzQx1F!N#xVX~m;$OR0>{iugM8yf
zq~syETjW*Vr%z|qsVldn<+2i?AiR(-`quv47m$tWM|1lseL7xz28-MS_H>Jj`-e5z
zKL#qn01BWl7Lbt%+Tp)wgtg$AW~it01iCt48$&fEA3b=GaTJJtrBHk&r`wn12w>Ck
z;>FC|Bt$<DPL$T7K5>Ro%ez-lP=K(Vi?uW<=<4c1_!E2bmHABqpXO$_>>MPb|IWLY
zt69i?>=1$fg1dZ+7ms!MECTldX<e9ib{Qdai(mp<!&rcK^5Os-85b*gjti}Pj#xCu
z1Pbj`m+M6|<lMVk=O8Ox!-XpqRp{X?WQ`g1hA?jbLJyO{)5?f!9p4&lvLv0`IjPh+
z8}qI-N0I@M?P!M+K!7Q04)K$|h+qWD2Q&gOjF1RY(p=5*PKtr@hsPq}`pn!r;1h3R
zi!POZeE^-dZ}O6JEf+}=Afdiv-?SXDO`K)zHiy+V>o(^Ha^Ej=y#AW)md@jrAjkq;
zFoL?21oM0Z!Cj{>GH~M1Wc&)Z{06v8ZlQ3OW;&zy3=F2*(!cWAvypqhntiJj#bFxo
zmPMCr<ccoIg9vf3)v0lh>L_dZv1&Rf%eeA_Ac$XvVYmY&j{gp`__^Vqz?!4G$sa6o
z?L=6VX#X=WAMT0?16lnAtTnb*<SNNguP6Vj;H>6fz!?ylr=P@kJN#$xj4D+_pbHNH
zWrd}nq=bH3yirP8x*y?Nt3{oUtYsJ&XW9bL#X$I?EwHtKdQdfLy4MSE8BwiEM3Hd!
zGDxENh9a%zMu1+PFX9|HQ(eIkSiY{VE+k^_xecOm*#=tcGY{t`5uw!5+s^^&3I^3Y
z{7U;KRk(TPRV}Ikwq{;bYhiQdOw@GZikzHWHb|K+7A`iqR);n#M}WE#(lh!>gMHIO
z5aG_jvp|RFEtw`Pj3#a^PNc-;uKY<bHa91&d=7bx7)C9wPX4wgB2!hS^PNFofs$CL
z?C&q?jr+LMi$m)ovEBcQ#Q!f5%w;q=qJ)J~pLW<Y&vg<=#1M9PU-?9P*%z)@#^W`u
ze)ZGJ9SjK+mL;#9mH8-3U!7gL(k~S#QFe085dI7Df4iuB>WauW&YiP08V1!#+NzGY
zp&6(Ls1C!t1fd@fiQxZ-0`$XDQNah0V(CtZl%YpZ<YZ`d_NB3I+x*}FEDdUu542iF
zDtt|XR)3{h`8)UT`&uir7YZ--xmk5(40+*-&dj}nk^z}0+IRdcuIJUOIc7#iUB!gx
zBKpc3sJeQ@DeR$<kr5JOJS3}vqVV4mpj{}{AV)k01S5pHkqR{hRPB|6gr|)GlIJq;
zpI|_DDRp^)ESdm!%NnA);ln}!JD6;5YcofJ=Brg|!HsIx02`JgD*Ql-Dmp+yPlvKV
zSt0AaSOhK0ELEMF=9LvOEO(_vw5uq0y{Vwq4%D9Yz%Qx-5xx&7CxCK;!nLWXIKMp*
z2xe>r;1fD123eP#8y_j5u%i47iM0lN7Y(`$Ja;*8_tBh}PybnZ9<l+-^9S#UK<ht%
zoRJR-054iCtAFGEY`$@S;)e@%)&K@UT@@7c0CJJn0bRU~4yYQ>E1zc`?6Xta5+-*J
zx7xCLWAr-V-xTKgL`ALUd1S4{+2bjfC@3Z+)(gNckEhZFW)Hm70fAI?#}+W8G#bP$
z@NEI8XA4^j-3H19pj~88W(bA>pct@-a*!D-Pp<KxVzQ1t&UzX8!qK+?l1Zf=b`Av)
z4WSxw1xr)wssVQiqn9eS<R*2@$0Hn{yI1#-3hC)knsE&p6qi|mR2i9;kr9Q)azVjm
zIo1UL1V2D25y8slLzhAJFQWIZU|{MI^)d!g`}-k=Ldv4x`oa*scWPF7*UCgJhAoF#
z5f%7dBu}6@6iM|27MX|`cK`gKXf+YGQmhydjwDam@Tm~fh<9fFGeC;|Dfp0WgcXQ;
zq+=*%j<AfohUdxy-W8;hr{fd_HslFDQJNIoT`ZlyCOHq=Mb9}fg6d@~`D!<^(Gftq
zn|w6?m~x|{U4n5AFr#HiAP~0^=%bL(nRjrvs5Tn|{yTt1++K+)I+uMN)}bFjej@0%
zU_tnw0zayKQ$o8FW&x<pE>=b>`t16W4s#6=t=G*zxZ!?Lat6Ksck2o3Uo-xixYZvw
z+2a+Ly~Xw?$=sr*TQsxr`=P5Qw{}=WurIS3!#>&<9g9_U2Q)_fiEgJ!MJo+qH7FGD
z1r-^HK7y~q<PgqIa5uEt?4p$svg5@Ca{7>2JXa&P=+g5MKxN9-#`7MT5&>m_henJi
zP6PEZ6FLb*vG7yaZE|u#r{cwXq1EUafce5kUtB0W1thlsMW6`=`}s}rCX{W!Dwige
zaX)iVHCDwIiC&)rr*E}|jn+x;=e(07a9=@bunB<XXJWf~eppiRc|Y1-m(-!nBC6`?
z!iX#=`H1f5L7-sRlS{jHE%cBWz5PRV(wDgJBx@@%SZVn;$Db`???M|Feenc3Qkf>g
zVPN5q$;%h=Zr!?-38)bkDA6*5N5Tb>0GK?dNBUx|bs_8&`<V<x9g0)m9`!$@@1o|P
zO}EK~C1jAbsZH+`6jwZ#`}ze>MAd|UBNny3%zehB4JEAc#~ePF#GAv=cTYOh0?AnD
zg3X?AFuSyE8lca`dELR)VhH*&+`K~sRn2v4SrcK1g?R^{b^{X7IA!ST8YpdHMU7^&
zB0CC|7x!z$Jae?~-|z(Zi=O3rvZA6QZzge+MHUM1EfDj=5p2})HHn*88~!vsH)*sP
z!U)&o9swA;4vLrxt#(kS-rISo<#el7ZWQN}zQ`lN=S0x6(Oy(f3*_49KgC)1Oka~f
z!c3bcU$3P!@Bq8Hb{WNE8IeQFq6jn&_P-s_B8Hoi5jJH8)RkrFXXpe_6|4wv^&wPQ
zDq=uE!A7_ip!(z?FNB+XiaV~ITXVVf6JeAd+c|A)lqyvKt;R*oAHWa3NDA^6<p{#r
zxm5CMBQ{CobQ>NjW;<JT8DpAR%2m;RetsoMK!n+?ps+LqPJv;7vV?m8eTOC6w^#@9
z0Bt3hNNo7m>a=n?_dly#T-0Uyt5#}J<8h|X5^nN<Tdi@ns(g_&hXqz{ncp^UV{6+Y
zDy3432*4@=tSMx(&4Hb<@C3Kip$LF56*Fz~fy@jJkoHjl!@<Sw^*lKP{DL!X3Y6#e
zqhyiU{f`E0;0#lda3>nuS`~O11~^R>bcV5LVgi33_oDEu;q+z*B5`O6L{lRTYMEuY
z67nX9Hs>^kJtNo!jcpNuTjOBXbN4{)P|Z~^Co^o>{|uW-?NwGbSEmjaUz|(^de{m{
z{ThgLVW4dGl2zr6prD|G)Op`xS~sYU=A+YeC_);ewz2ECT^xwebaZOOYWs_`e@LDE
z_1BY!?(Ua3_FK){sjf{`2l#g{`l~dtyuAGrtvV!&&)2joK9}jZ_|)E2hMEQSO^Ul-
zdElzYFO_%ixr99Hl~63>Mnq#iYWk(rvZexBW=8pu&A!*XvU)Nyngd7?ExK4J91Hb6
z^@3VjTwcZ(ij&ejs&Ri86pTw#<fO9j=cN!<L>Db}%FeE1bkYnIb-ic%S6~L(l3I$s
zJ!?0^btxwB;KafhqV4>p^RCzUD0SNI8f_}4zq!-~JRJOMjyl<D7ddLQ`?vD?A`EM2
zH(PM5Cv5mjp6DbTtM{8QL9e_js!H1aUEZAj0?l{Z+_rF`N)Jq>@tEqjOXkrJLn1yH
z*xB<oUR&0r?L9N>YnVb(<JFeaKIk&}``O#sb$fe~zC92svyb++R>n~3wepvZQBq?q
zrRZ-Rf!o6(T9|xjpmN|2HjOfPd<WaH^<~&|n{Oj2?=gXQy71{gcec<<(8qX@u-0u8
zvaPG*kxbVdxt={^m5zNhPXzfeuSyt7|9SBq#foXgH2+KK_0FXYFR$K4?KWiOi(}+^
zB|;=1ki4n3Sd2up%#>7x1XAfMqoJ)oe8%4te_8C&epl--6?Sz|cK=m=$yK&XkSSV*
z%NQ@m97};nB#0+Sz{D7mnhJT0Um2)#YG67?|15d<Ie*uIhks{T8=uDNeOR5N<oE02
z4ZO2wZk*on`P?S|HZv(W_S&EOE%24yVa2ES#4zd@v>4-kJ&cV-Vv#)8ty7r}I`2Cr
z>nl|$7@SlRzxL-I^9?ofmrUN&{uJva5hk%UevFLisxK>>UvWhw`Wr~#)ns<6w|?vO
zz@gLiv{+eM1yNkMHRCOVtCvNJL$Sm(rPI53H#Zup_LyfTS4R9<wIhOMlV&Q(xc_+M
zl@k_vAzqI3bl?EfE)TW0bpt=^!@+MI#aYBm#^7<$*i~_NS+*LJ9D|F6Nt3$qEv`9F
z2m1d6Cwg*pufzw5jr-A0QtaUMEzYOCZfHrgY|s)HB!{F-chtXHJi~0Hc;=LQ2*uuB
zZgP{3y1Rgzl@kw!OTI^nYfB%yibx=mXBj=05Ef;}v?cb$A`;_XC+dZ}om%l)P^VzT
zWcU*g^YH_wa<A1)1jtqt$z*a+fjQ^5*C0`9$|U}}mno}O1Ls9?ZYe$d&4dcbQp{%*
z7{{a&z9&Zc)Sepj?K+DJQd%-~6FTay-c-#GhChsrhfV7+?OOv`&J>J9ylmTuch_Tc
zy%X7JPi-~+5++-=byy}voG6apm${oac!Oi`8KpSwyXh0wUvgTiLcGxvUAxinvEG9j
zq$XNs^huW>l6h0In`abg8fe1a+uAw$YF~HSdla&DxKawgzKI+o;TE6jqD*=qEsPI4
z9=sD!c6ZI9zL<zj;}b*Trt2v4me=PYmaomz%ZQSbWrN&D<qxT^iFe1GCFRvvICQ*(
zb@?DyC;U=xva6(Fa>&EJx-%RU^2E0AZ(H!ZOo^JzkW`!S*`oA=a=tv*gyjD?C~;v>
zAf~-1uQ#-Hcj2=elDF{qp3x>hgh7j7jzs+YeB(qcl09TWU4dy%KXj~AQTswW>-LGY
zG+LiDNxsNVv`9*u;xcXzRsMSG`#7TYKN1AG_Ki=%%<}th^w*!?D#_W`!!=u)bgX~H
zE!SB<Pj2dDQ8~1q(Nc7Gx%oXM<QkSgG#;z<IdJSilWf!<PHwUvINT$v_HulSSudTX
zdOC0v2K#Vb;}WgyD4lV|p)k|R=Vj{+?z(j+Jz^pocUZwQbHH2)ma@(7c|86hXXP}1
z7>%soOp$}v_c_Ow!|O*IPYbv4W^xllWEj*|`AZ3&O8rOPE>ojfHt(-)sF9XLY_NrV
zUAd5hd0CA6L|lKqGMUPe6PMPhI(yU5qd@rPhZ5i%<#a;67`kA{;|{O{lwwP8?6b1L
z9pOO@Z1-Wcw%RU1SI*_dv%esPH-lN(?LXLHYdV=`DGPTL4))#&sr$+c4@&g-W{=(n
ze~Pc96W`Xg?e1%ph=^3Jrxl@{E0D@wya+~5Aby`|<*WL>ZAvpUv@zw9WA=#p%G&<f
zK)DAdB=E~xXQ~|d+EJV>xkS~q=gLm@tD*#naY*lEO!aADV8u}zyA<5oI9iM5&Q`#D
z9v_txOP*RP9D?ZtK}Th72r5mD(t@T9ds+q=r{?!an5Iw5d5ul6bd47EGx{ZnR~xgv
z*u(NZvB0=&wke%vwarC6%M#yvdgYChjGvmTv&uDRMYd$C#;5^SiiD(<V%CRs1g(2X
zxFLMAh1V5~ZTjU}@z+@)cVn0NC7oDv<O}65l(*L&bBN+g*39e}$(6-LCwEKE;!O%+
z$Jih(?Mv-Lj{d6Ar$krbvGMwr6BUQWNpNG2WnTS*o3GFhhaUK0wv3mRTCY4DKF~^i
zK~r}n4b%=!d2|o&W|Q=L$Vy{-^IQx9uZ6BwTyFZ-A$Y{n?m)}XRdUYc7mk=K#gX4+
zwrwvi8J4BDsjnWlL!tV#S6sl)GAHJPv;+4CYOzm~NhCSV{h4Pgv3H9zP1bh!myI<V
zCebS6>U^AEwS2ftV9>Fwrw=OdiM^-xTo02hEEn(^=C)?Js4VTw;kqS*l|dv<BOw*%
zCsMlv!$utKZ+($b+lN+euROlh`=ui^lVBW}H-UtEJ<^gE$h^ksxkqK_h1Bd_(q+2G
zMKim?SJOi(CcVmZLU1kJXv<?9(-gVK?`t0p>-U~8w&3)~WOmiQ5`%2Ws%H<(T;lDa
zrc6Z(cD;_(gEAynH-$sSi-w;xd>Jv%RcowRaqE4Wb-EMLFFe*h@`e1(z+bd=miZr%
zzt$5NxjX7%hkzrN-BghX&4Kg_2f%jJOP`hXRQKM#OvHWZ|8>S+6F;C0Pt8<l+HG2S
z`^~Q_duD3eyyU$D&0D+4lEaIPC+9(ko_3ZS`s24G^hk{Hx6q8u(P;v4-nK$Gw`p3c
zRlRc&ud=={d!B)4gU6Lzo;7w?WdAKbEzP{{t{b>#yjxMlCOhR@Cq<AzKOD00qB!hl
z^p6bM>CT0v3l*??wUYe?I&;4_eQ#yokkKu9rVn!?<uJb+b}wWk0D&M%XscyX4}EK{
z`Jy~FdV(+6X14tT-qefDsZ<KzJbtU)ZPQ-cl~c9SuVr2%e_UAyA~}v;M<p2M<mO}R
zeQkxlN8JT+`rDTJNr##It$R5K^|Ms>Xt5kv5B9YryxXlJpZLAsdRfOg#mD_aqZ+o4
zHol2*Snp}WWm9n$Z+Db;{L>ce^<!#v;Svmt;$X!02B3ir#p}<xpdsnDe)xrbgj5Yi
zyeRGM-1lKeH<U}U&XP8?OZci6)O@?;+G89Uwfy3-?S@|Boh1q(zqX!wuX_}rw@1kz
zEKaZ8+8jAxbbBdpT>0JmH)d^S65dDJc9!jm+5bt$hQHn``;I3iG2D|~0=oAEV!gc=
zj9*i(FLlSP5V{0GKg+iD|3)dBnrzs-ux{Y+^6p<H7{vLj&rR5?*Lyd*9E}xxi$YNE
zi%(8dP|7InS$0A6C@TK>j@bBE=a_5>>V}on^~rSf-!IN0Z(CZ~-@3b2-tMn;7z%Ga
zU;||;jUAOjl>M^a6TQt_ROELP$YO${jhywVg4e&-W!4_*iT_uCGKSmahdKMm-)jBN
zxIeupD2<oWOaJQFs0BS#yip7$)g62Pv?Ssm3jv<Uho0R~vay9$p%{}bo*;SSk4VVJ
z8{57;t(7#>Md8I<pajP>g0U#ZZV9CQd~-%ppb)-ie8_6^djqDK^mC=ancIGfkHptQ
z{<ZsIk_e^10A==yA8-Flh3iUZ^WyTaA?-`VStoOJ*W)(StV1{AXfNPMU71g(CQnlC
z$HKB#E*GQ&UzZZ>x4ug0-nLYZP$J5cLa>Y#QjdAJ1LsqC0*&T(D-34Kog2E4Y&F~{
zX_xY0_zn1QfUPtG;^DGoRd(rO>7~^Lz~qF<&_98kFZHbg4B`=`#8za!vC5sBu4_uM
z${jonIU5#|YhQ`-3;VW=IS1LV{4i~=9-Yv&x?ClFqyr1pz?L{19oyxxO>$CCPwyvZ
zC#Qot4Tn4)s7r2*8I>62ayX202a{zLFL?p-L|P3#cOME5xbEv~A{M@ty|}Wn5+<iv
z4X83F<_m?vMw#`7t`(*DVYIwSP@6ABPwINS7&Q^nddH5L8>g2|PfvT@+0NM1n+T=8
zuz7N<&lQ0nBOc6V$H<8}NLosk;%!SWnI3Am<Wk|+<<&GCB+>iZ!DRED9;+uRT?7eJ
zd&NM#im9CY?ALel!x0JJ7P33vMb2*@`mvMZOW7rH_Bm##J9k0Gro-o`7h6m0kt({L
z6dRH_b_e*v$04DiYAUH#sn<5`bJ_5zr>FW#Tb>PB>I$f{bk4Oml3v;zc)sAg)3LuM
zvL!kf<$_{;WABJQ${mYVx5{lT_jn*5x1CV~q@S71ed`W~<M~542rsoru$WtVPw!be
zCP~Y#_*`(%<`e~WgngKKqt#%7d%8cv04LCXYs~xv9}BY=DUGMyF-%K9N-&I=K^x2y
zl~Pan9J;+-JTfv;!t@7a{MLOg^!D~wW{sD>*^767l34#nw=GlBHJids*eb1XEKw5w
z7_>Aoq{LR<+AEh~ekSc)EH5V4i0fJ_=>A>{V5X+iAk<8@k^^R8X`S2Jar5R))_eLJ
zrLkqPeYXpxebwPu=dya7luMOtxM!tH^jG~yI$2^<j#VM!^<sw)A7(w$QU1Zh)a#AG
z`eyf;Hw-+)&d$k}!uW;?p0pj?e<9PflbI>E`sc!BPp%kC-4*-S;c60OTxjmHW$#A6
zjk|E9#C!|kZX$m3zM5;G)D$8r?Z467+$^`?x@n&#RhG4<DDg_^((wmBFeCW1u&^*p
zZeHGq2WZ|)GBwF6S0yIc<H0D{3nC^)S{y;8FZAI?ANu!IE$T5HBPxsz3PHsn_P64w
zebePt98~vLAW}yEjOQGyfJLr8%+z|CGZ8jd!*_6debYA}o3cDq(y#Q2N6nqgeQ|#4
z*16TR*};}R%YXn#hsypObobVgkFbH?_mT~?{CV}knEpwh&==7dG&7dP8>1Izp6l}3
zG%x^4#awif(LQfTxan-0s#Wijw8U$9AU5j8NWxP+!;OxxwTq9no_vNly=Rq_5wfyO
z9x;sjVds`RAdxrn6s#`8y#4&5YJfUdQC>cON2dY*RsrGW?94+m4a=nS?ra}vRJf~C
zAxCHQRtBR$CDqTa4Fj7+)7IY6p(GhqaQ+}#_BHHwU}&!Wvea=Ko93OA5wNlR#ZS1p
z_NDE+Er*L^G!qDf(IRJJ$;}LIc<6)Kj==(xAK*_<*TpzoC_#M|r)}OBWsc`$Iqsdh
zC2qgy=u(7s*tCzx*|pR6%QTFBVR$6&&EKY&YkQq^)$w^b-h|iJY+W}!)dIKtRs<fR
zTUT>s78e0N+OcQf?H(~n#zfF@vWIZ4?Kucs9GiU@6FZqO-lSB^hM5hFhM%Nsz-Q~S
z$Avcmog>d~1N=@#dw2KB2jKL;IzKy<+@wU=Q5Uf3vcP@%W@sp<HqI{XZz9lis$)83
zO%V<b4iXnbZr)UqIEz3C4Rjjj@4x$c1JFHHn9qNo9G;n(F#!_pE`wvoj2G?JJcRc(
zkXspjvZ3JNurB4;O3Kz4yytL*JEib90C1+ASC=`zCGkBgFcFXVcJG0tQaw2_p#>)8
zXv5NerfkgiH~g+`3>E1@d5@@5q2Z&~SG=!Z|AK$^Y|x5n=3L<y5xzV(tgq8>-(nNQ
zg&fUCiUBz%_!nQ_$z|a1SWws2D`%>ztNSmUJ6G;rw5WD)A%yj_>kEq)PV*2y|9$*~
z7cRZ+i%Z^=#(5vRbS>D7A8%5=*^yma(~Wvb96cCi{PKkh>WuQ&0@`H-Vs;42@m_h6
zp5*E)U)rdfKJvGK9TCxeZOcZ?#R!7BO)Bi|>jlSsXT}?+!5b>7^2%Tjn_?*^yN)Gg
z4lS|lo1*{{dFKa9r;TwBR}t;dp_OM3Ky^-Sx$|a6cG}qZc;&N8ni4f}znn<l{-(5R
zPfh2;yab>eYl{;v9!x$YHbTqBY&yGbUvIm^HNdm?<=T&X?Yq5Ww<U$w-AUpwO6k;k
z3mNq)^II?6o>mv4-`(38Hq^m@PijFr?GLq*MzXR>`bSo4KPNgkw}y=0$ucEt+qz(u
ze>umibM+1~ZExcrZ-MD{pVCsD=8;xDS&+Yku8c=pIUv+s86i8p=^>iqW!c4)P^L4*
zI8GQ+^D6bkBme359LooPPw7gxr-gQ%>E=qlRX|RfkOK$aAQDR;HTzLVy4|qQ<?Y9x
zo_+qH-4g7L&6Kn|Ck755`HJ(r^5Ap-?6)9!?U7sS&s+)Sg&f_;`;_t+1969=A+J#f
zw#WREy(72l5G{tt(!d~;pZ19@m_7JvQlIpp4}{=^Vmw}0*iq=9?MRA>kU0*Ngc~4a
zHflP(8bbkqVRA6JX@@ux7(8;*fQp#DzP_+Fa&bb{v37ZJaWQ+_zM3Cjqw3>i3}idQ
zEG+6Xw!f)T7_0<ugm{f-tzuQJqve3-)tojVt_9n7cTQYBU;g_#I%~EC3yP4gis=;Z
ziIJDN4imGKd=lGsTK=A3&$$C|Y=lk&O%)!*`upVlD(hVPsj;y!ji0s<6K(JJI|4`J
zBlWQae1337Ri~ja)&mEvG$<shH!Ou6cg8~Vw-xE0wX|&9NCEE|2*Xqemq8(Bs3b((
z+{wX#`!T4}<qM!vBPdy5(;<h#xa%<OS~~E6mhetFal_q9yS@M5ZEclKS-i?Kxa!H+
zV4C3}RC#g!U=JKJ#W~q3U3*h9;r8~5+uK_*KqwplAKpMUMW#J`_^|dv%3&0G)4&;~
zRO|QxS3*7v?D<kq8H<qXL;{fXnGyjO@D(VgSlo8B1oKEI+VFOutF^VY3A<Hca6bLX
z6UY;`&3CL-Iv4eR52XWaeW8TgnLR&4^#A%;Oxc|y&OU!1z$`Up-VfHYXSGsywC3+g
zSf(}r7ZrwWaaRs<Q8Wms+4kD6$p8DJYUgCb#RH_>POSV)ke7(Z#XaGQ5yiPOt{2wF
zujhpOfz4U=uULnoShZiWeA(YYY~H8y8*1)oOjv%Otz_yJH^iwG%FBN7+AjK*C>g`c
z*ni1pR9P`$;%qbKDW-Oe1<%!FL%4jP8Qa30oWWbqvvM3&Y4JrnV+$jK;sSQCZJ5eG
zOT<eeC2cplZ3Nk*(I?!X!aB_MrUOun*7bhf^GnsQ^)zW0;byi!^Ey+FnM-kw75)Po
zWA%K2>n@>kki!K70hllenH+1Q8u|5fCdctmE6U_20lKPD2P-CL!&S(s1DBKb_h2wT
zc@kxxe@hc{9LKs1$n!p}o-oyi7FlwRs3SdLkN)=K{_6yD+Sz9y;nZ&&?=As3XzF{q
zaxK|3_4<+~n@EX|3AQ}I>pZT_F4)WamTuT5N4y+J#>?)@(CHggfS>tlL0f8B9JS#Z
z=EMRF4cYKWszlv2Zy-C?OtR^tq(IhC(NOAo^LL`-!jtz~W66(aE<b?Y4wM670BxHk
z&Qg!vA9$E8*TsQRXtA4W#4cqeyGm#1pK%5$gUk1oRRIV-OR`<oFf6D-CZv0l|L*VW
z+PVp}ti3<8Zary*r%Ql+IlOnBvByFm{&l2J^3U~!c$n}#qkvv003%hnE*=Pdsj!K{
zib04c*j>r~-k|T9H57T0xv;MUu`xsDmF<cCf1Det{k6W7!Us%~M8=k0Y0c(J<hseF
zUjV%sm4t2ZiA8}Fr>)F<3q?Qy3{%Yhmpd;#_7Hx5Mj==@zzuEcmDnreC#5WTrGg+1
z6LZ@n0<t8t#(zlxslaf2D=;RXjLuXBFh5Q$`Tv6(ftOo>`8!m`pMG|L_rXs%_kEqP
zoSR&6SIG+LSeCdjK4kgaT8eYO%Y66AuE*2p`fppp`&hxg=C><IJ83sL7x7i?BVOI7
z@?QW3xLTzLqI0i|w)gD%UP-s%NS>%@R^^ARLcj+Iz3c{GpZ5d<CF7>arYEY!msY=<
zR;ypD@EqHfViyzUi4b<R%UO0Dq{VP2bC3=HCpQVH;1K@N-xpo9GXCW@<1H7G)A#m7
z{&Z>Ms+eKgf=rqixrt+08ph<QF$ezX>icDUyZoC!y*LQ?lZ~&_Lo)w#ULjz98vocw
zA_Z)8J7bJn=MK`R?@?};E_-vW^KNLqI4YuBf=$>zwn`V&Za2&biHJkR^u+Mgp4xp|
zzk>8viP00a$M>)~Mv7ky53AT;07#{F`}2(gbKVNEOYPfb-pG?2*-&v(JgulzVYu?w
z`uLdnAir;*2cBNQQQ^0v#0|w>i-k+ROkPdB(6KFL^vQ6EA0)`{+&2SAzl-&Q#9GE4
zWy>%(Fh6?l!M!*O)-t(E@Yg>w@oV>mTSFvMCFb)ZG++D(j5<{Ubvo5&-IVo?`R8<X
zpJ3v@pRJDZh|!I~NbDN=Qt{2&^%PyK(#!cOflR%GlNbI1q?S2+Wr*w>J6}F6#q^>K
z=1kt*Hge18(K<u$;u_%kC>U{wGy_&!|Cyu(R&MWKp_IxUW&VazHS0Y;EUR=f4e9wr
z?{AUvaoX$qM#SbF&k{!(HLf=fg{!=u-{-q-?>QP*Dc?8f1)smI_1YznVs0{~JFagm
z5l@e8*<7)%Il%Wc06IjKB9l`WfPsh!#A<$A>e$e|PIo|MJZiwbVzA4sKq8@kwvJ*$
z$+%JRol4nL7cR*#W}f|7d;%`n|L%BV2sJK%dHk<^@jBn5fRqj+hFjbva6P_pteIpR
zbC{CtiOALwJpCRs;&j0UOMaM+?VSdmywr!~-}SWCO$~}{PH}BD>W|6kobm`cKs$dQ
z-4728m@-}Fvgh)`9{*#=n_r~Oh=1dbyg3KYzBbu+5eP#no7wT>%D40$-<7Hf-W|CM
zdHE+#u_`sgxXl`=AMSwCpk4)!D4pZE_G!9jD%)bYjS8s}WJ%Hm&0Vls@X0XOTOE!7
z!eA8!M?D_kC8H%>E)|?7nO*9#F9_Mo_F#@#<py!zvd*ma%)6g!*<Tr|^72Mi<Gu@p
zvs#}&<x7t3y>jT$-)BZQ@UmZm=2lNWn9V)zUtx9<fTz;j+}s~MYK}I9AAKnnt`!)K
zM6%2P(tH_v^J1~nO?NDmd>T6xS5Z+R8AB99;PH42mr@2^$yKni<epA+Z{Yg2YrSrx
z$1L{A&x)L=(`nFdRG=xBxS&uxM~Y&s3CO_8><fN6v56;%5aURfj8Jdh6+f`+zL)qr
z&krf+YdsbIW&j$<GS7iqlRgaBx^V$e%94H=KKu3lT(!yiO6m56r(QQq7LUEAKQS{S
zpq+Rc*!MJEd8LC+r)$ey%yZF_cXD#lk{Fwwb}a?<n3-Y#TliCqz;MEuOZEk?itGz|
z+wmg8A^F2_PJg9uY(g*ipq8|RoH)pbyc!j>0Y3B-VQpOCll7Ip_Iy^V=1Gv!JH6*%
z@CiCu_8_-dO0-ml#~l<Ew5XJKRlz2<hVkxF)ME-`ehh4*tnlw_zw#h4D=SOPu4uAa
z_H|J~fj94Vz;y_ln_ooQ`n7jlIbQDvoz3L@*{X5nxV638`uxnoKHm!kPoG{UgCqbc
zfgylTS<=CqB)%Sbmo2yb#OuhH_u<%H`vX6T+3pD(H)cWrYx5Mj3;AGngFCG?*BVlC
z{@|-uuWA$xB@Ay|344WnJ-s_#`K0?mNP<QBU-5Y;v2R0qrhiD1v6g3Wo1Yl4S`(Y%
zwx?W;50eS4y`*Wr-D5+zn{d9buMYu=qn9sPTYu=HsDdfn#Owt~c{s>ORM7hi1+2Rx
z0boS49hKR!C6y!T&6GLQp1lvZLYAjj1HPUQJ2X7;@@s~JTX3^}CEBhc#N5q=JepXO
zj>~Hv-<lo$4hGJ2&ik;e6Zp{qzW75s3aX|Z4k%}g(jHW!jJG0uQ9t8Ha=ho$H}X=o
zYev#B?+a@WK`_@_{9UIb^wn*ikTDIq0(PlyNm{G9#U`RQf)q8L6nfCRsktg947@%7
ze+E1Bar>KjP|bp}JP0}Q7~%nKFdRev1YW*0Jw7%TvvAqh4!lt!`md6b83iUl?Bl@{
z{=VDgATKr$^YQU15j%ziZywmXePUvwW!t_eg-hG?I_dPRa?!%f_Ihl(9Pr?VAbi5A
z9OUR?Lmd9O#rw(DX=1^7sBNw0>J2e4-JJYQx1IhvM&{(~_AnM?nj`nDB<a1oc7f9K
z>C=&Xkk?jI-iZM4qdZ&0OT`lk3)){>T3Se*fn18O2o7%zpQg+M7D?6pq=Q4}J~5EP
zV0L(zk}qj0i{1ptlRxZq9;5`Ma$q($JUj-^bt}DlOop6zjS*$Pu`rL6+I+qFDR`uC
z`-vqtw`sFosO+sZNAaAT@zzsw_1oW=MG!iF@K9n~iW1uRECrJjoBCS{Ya8!MOCsMF
znt4~5rY{KeZnMj4x_gvxu#K`b(ZPi`1{Ryl05b#JLuQizYLno&v*Bh)h|8uUNJdS<
zqYB$i0|GxOR^lz!1RZk~lf4(*Gm3>MRdyD56N+g~)bd=q!r(i=nTRUT4a7um`1^}M
zSX||BIAIbhS}Ho9Ksk|?vTvqo#zNnR{xgqVSsKlza!@n!B~sL~39y=+o2lfjl5Wjn
zPav3~Ryi`M{jmc|y|{WcUxEFi>E?Dw^SoEX-AQejkpkOC>UDt!H%#E!Q6N9OmLMbF
z0xpH34vAvd_SnMEA91gt-q7;H4|rtC8?ZA(srFqQcmu>8(x81o`^HZl9XH>n9ClWo
z`JS{(EiF-`EH*V>^JTjkq>Epj6f&F&&X<TihG7Kzj_ceGJcmdVWpJrhx!HHN+g{!K
z9fam|Jv|bXxVs>fa&hm_9<i<RTB|!hNfo_Ueoz4-p81Be2Yx#Ef3)|WQBAd7yC@a}
zQNczLDHcHK(gdk?2_PUvdQhUEM4I%D2>Pf98l*Q%0O=yVBp^J5hpqt<Y7h}(h!Bw8
z_l)J;-?#Vvan9a*oN>nZUjI0RxU$y0?m6#kUh|rB9`%Hv&wI10{VPMC9TAI)@A*1C
z2mizshDDCsT+)qtUEa;K#K{&|6yLhyebv6eummJ(WqADhQ3yi2ySi4H8YMHQo_E7|
za3M?34T%@{uI&RjkWC(ZNLRDk@V1GV9sv2(0NFdJ2_stL;^YKM5ep7$u6Gdo_JL33
z<>d%(5%cT#;|cS7RquPtvI%;8d{=ZEm_>g?#I)n*9udT(bc{~nn>Q$fh-pR$paK2s
zVFxN;`FL4CXiHh^U8jO@wtrW^*2P=E2Pm|R-n|b0ow~^%xSATdR|kJ3VKIttAp3F_
zLU#r<M??yrRoPd*=^N`LtIXv1xav>(SSUZ}KgFXOqmL5c;7CJ72y-5`CKHK7&T2)%
zVl@bc8^uPT2jkCMZ`)bq_~^kaV8-V+*XMg%LG1bY@tuRw85tRBmu_i6o#(WCt>}T@
zpMIM7ujE3O&cA{VqZs-Bp3b`Y-;qu8zj9XDFaEq^k^hvA`U9gdCh33F1|t8y@PEan
z$V#LM)tclK6xhBHX*zh0-DR8pX3njXn-lFKY$;Iw?!uO1CKI;<+B2vK`UFR~iBGA0
zwra4O?xd3ohLp@xn5@?$xgbr#qUvYm+HlzT{r6+Q^cpv5ZHt7%-`ikT^AA-OP~^M~
zkOA-Eu#L_9A?NP-))v+-9S&Q8tOR`<30T$RrNzZ2b`fR-K7(yMEFG-vjEM<crip~$
z$#?Cbz~zL)lNaE|M-s`4Ws2uB9ZnvGkhxb|qEbn%sT?8d;N)+B&7Wt%JN009{;tEh
z;2ux;(1_^`>AG<|K#6j0(~RZL%C)Yz>%5`L%t&o=**Xbu@*kaaBlg4JxdJxz2$%D-
zuhI8EX($T$0#>hC1T0f3AX>JmEWQ!m=FuO>f)%K6>DXdk?K6EL+U;M?D8r)c{5fXp
z$00YUR~Q=JQX8Ibl(kiA$6*1^)y>581OFKcTB!ZcKrly(HD5BW1ySQp-Yi_PG?v7*
zRcQ0^7@dwtIV9g%pI#<EeQYH4&ywoFk}_P+vQMzc5iTvaJ24YWM2mlczxN}=<9$&q
z8X6j#h*K(I?_|PUEsTvj=LMX92U|obyV@Ph#n`B<tSqvNIQDQizH?w;^>j^32ODI`
zG|a)tJ2!C}{6u##YjLQ*{#VJNV`WLd)8~rl)=E(T6guezn_So&i;TH82cLpY1HlYi
znXq>vYSrj>UXL5TY>~SdLY>nZ8XR1UNlZ+PDk&~b-eqkh5fjPM{!}g%++lQ#q?ypx
z0C-SSNNDs$_dnfaRpuPX=6XKWDe|H(nc=wa7oe*>+jbp(vvvzP5m>PHDGoVQp~eJh
zMRx0*l)J;Eyhb3PGllzo|3M*KkZp)gJI?FZQ?(SlJQ$|})<&WttPT4b1=SqZb7Xre
zmCAzAK@}5RvbQEYmDEgYY66!#JD4dS8vqt?^j!n4-!`>bQ}i;<;@}j9;_p;buyH)>
zod;CS4{Z~os~z|S>3THHkN$yl9tR#CQ&d*gGK2$k=M-#+*;Aj_ch~iTtsG>M!DcK;
z%Fs=Ul^rmZ!-L(LJEgWIqS5FMD1)(~`#9$s9<Np)ERIiirTlf|S%kSxU)hB1aUq_w
z<&fT5FE>}adpL_j!20bejj$7UKU}fo<4}LFsUW*QdG~w^;Em25MN4MxZ6d+e3RI=T
zVPsegVQ%z^&)s^42kVxYX&argP1~x8JC)JFPjXEp7%Y@4zYU(<$0}ml9qurl`7U|~
z1_rjP@A>{<_ZSyRAKEAkp%-6>`~7bq!Z*enzt6Q@j-+kXfy_+rs?Z{&vn<&Is?DYF
zd&)Tug}DZwyua|zhw(<fwC949Q;F;R{QUFuZ{N!I`gAaH4-&Zc%MsIGcGs~%v)YY=
zA&^S4{@B;&7X%@m+CAMyKLgnJnH>oV4(;aj%O=XxakZgYlV;7GYZ^AnJWm>w0e5Y9
zOaw_z^;Y*qXS9^ImoDIMtiRR)NcypVX3OXBpZHTl&i5tUlSsilzGmgqNK+77Om?q<
zs&}wmL){kqGc$j0Pw!mT@gL0OP0jal)$tzI9YSeeoc%M(wGf@xNNm**dIj;Ju!hG4
zF3q=i8W?m4HrVa?tW?{`mgRn@bQ{C-4Gn6iM|5lRU`ud>EX`1bH}5~kt~?iGQRU_2
zon^9Y!9IMRuxBduZnHSo(-M6l{pHEg=i(d1k6siY?Z`RExokJ-DEatklFj-pq!Xf(
zwxD4X^>r0D?BHZNw^#eeDqh8HZIo*%=Y@S}DTPv+9Bl9LwL4ZZg<shJ4z<_C=YAS7
z=0#PV2iG;>8OsnrPZMf|%=F17r`pHgKiu+1K-Dq}Bp&{@xD31W7>ffBM|fH7Uj|2?
z$XyI>{LPCfVl9;Jmw~%xtCk{^yMam643#=r8B|!yFf-mCch~g;DB5y-KgZ=jPkxAi
z=ybXkCa+^<C<m$`O8^C~z&jrE_VPmRMg@qvE<kOLvp_xrz~U)DZgjf{sxuQj;%9VY
zrIrH0Mld2xMxXtdZ@vrI0DQUOaqE-fvSGh=7xuvQtE|<KIg#4WVY~hCyIY@*=%nw3
zl=4oW$2TF4q%Eu&w5F&nU;yD)?yeJulf_CR=G!-)FUDt`5SZjTc7?lYs;V+9UJPiV
zUQnV^G|H#BIiNT{-<jDd+tT}ckDJiD%&MxDgZpp}fA|1$uI20Do3j4Bo^phdd$KIv
zn+9u9as>Llnk}4=_&CT$LPPzC4JaJw=hz)KE3@EgakULLHa3@-EmX+$b5^#t!HTZP
zSB5HZ>^K=%e6BXiT6K?@u0I?`hx4QFUL1ihjSN1z=RCvW7Yru0D&^QuL3Vs=xm^Fc
zqkw0@Kc#ZF9UUw8JqYZv*!S{}7GTw!+3xOUh_3uELI}ZM0&na$TY|CQ`yT{L|3-+v
zUud?`zn9|wbSbj!nTjJ|EFvZLbIi#RR6iSNpPLjs9M-~&*e*bHMZPu%r@(cnI?UX{
zh?0|G4Ppz(F_#MRgPOIfZ8=5EbSVUpjeNFjtJ})o8D$0dzk3f6u?oo1KY`br+&=X7
zkJY<eZTrkbpx|})pjH*%38=922%8I`RvjH2s0B<0@pG-;u3fttVq;@<BBq=9Mw)6j
zf3B!q!r^cW09@*~ku0EV(>(-c^#}rUu&=L=lZCQ500)8W;Fgwri=qskatXqsTfNQi
zb$O$dvzfB{EZ0;6uzz2weP=k$D?M(zf$~WSff3j-uoo2oqOIz?*KpuzAgjFDTLf|U
zM!J!B*zS2Y{AvE(w!6aCJpmP2oOXi-SZUC1(#inDTU!=QBBpnY-t{dY2mXvrrI6K&
zubayMq<IuN!PmS3N5=DcOQ0=C9_9ttSG$Z20-0ybeK`WTfQfPei5|o1DgX=jTk`~M
zHq?qr`$F77(==T>oo;m70=_KE);pNP8nAwJ5H+7w^X^QWvM{^)Rzr!HR6$hriLj~n
zOzyy-J>^d#^pSn{PRg*gXSXTWraTr{JA<u5Pz9ug@ra#_TCN)mIx_X>d%2>K@Zm7_
zkDZ<S4(*CM$4)=X9tVKJDQ(f_w+l+V{PQ}XK>JSq^vUh`R0|_`V<l>#YBm6*7v1-}
zbunLK&%R=DC5GsdH*G+Yc1K{552(~w{9|QomR-}0UZtmx4%Y6eedJ4NQ6gI#7v1{w
z`o!I)fE4$R3FE=^7geX(;l2vma&R>`>bzaYi(qA)r6emUo|#q3BHiD`V1sO&eb+b0
zHsD*CH^~F@6A*GAB17A$0e`FOwU2#_OjYeag!UOw7jbfykeHt7tRwDps7(UGZgJ;n
zjEKL+R_Wj1)(>K%dwfT0XO`0#zz6GqCZ`d+cKbFN@fe*;EK~wthjd&^Q*(?Y*JeB%
zUrZg`MAHoNEV~tKG-QfH(wi#>HxDj$c$${gJB}sy0Ot{7=ARzUcDFnA(ho=d#FH+G
z-nB7KPEHji-r9w+B;-cktMO9X<Ew4}YAN{7w1AR{dp{}79A5Q_Iye`105=ux&f|(U
z^Jn7UvCBJn)RU<U<2QTGmhbWz{>e`snA*&QpIgu&PXKMtYONLgRv&RLA8h#FRUd76
za&HWt${o6ekrNkizk{>HQ}%(iaMEhB1PCqO0p-%ed*qeS!QFMMAI9PA2gOen8?qk`
zDw|p~TWUd0j^rjuh)y^+0olEg#5b}8OI!}k2L@~4Mc?)IUPu9BegceY8gWt^qDQcM
zO_JZf7?5|0Z<IfJk=cm)QMJ3y`-dardC$t`&o6$Wy`zO?r@~Hr%d{Z8N%7g{YKWXb
zbiR66ek^Rt#kXX^T#sjqOVdxTaiHJ*9Q$y_bKS`HHwebTd(^S+R7D%V;g-W;S?lbb
zwGP`6iTCV1YvJ6s1sTH5@^Uz@HPk%=@BL8@p^p+4Bfd|yf0|9moBMxAIL1ZJ;jiYJ
zyEU29zYb#=$aSGmCaAxU8>|7~yJY)|GYsb4R-L#BU*kZo37*|G_tdw<n^@Um8x9|}
zz7*l)yWYygeaG0Cq@<dv@X+E?Wv5JY4i11Ko{#y%w1BA(?qw-K%kjtD5JYW`PK}V;
zd%;oT<HM_jb4(<ta@yrPz<S*;c`YWMImj{GvoQo!b4^#eeT6qt$0u9EP9O{o_x|;A
z;5=zZLax+H=Vwn^^~?-TTas+{m?^%V^i%#3qJ2N)<@@8WTlRICUW;q^^o*9+6n|X)
z2jA|tzjuUMzo-%kwLW&kPsWD2^d|e2f`@^3$E>yE*h~;^xm(FJQ$HnNGc$WxIa5D8
zIw_~uRVHpF7OSSwQKgRoHBwC()_gj+9Jo9+DH<nA&qf&kv)?+jlJH7!*YJU{3Q}<`
zYf)J511QbtHhbBFl53%?JJyq1MwdkeJBh^iX5cJk4DeHd8}0<YQ;{R4eO~ej>PE!d
zkt5YQH#aw5$SsMz)bO)k01L};wEo=Z%bA@s&?PWPie`gp&)q)|g9U!JT5il5@wjnB
zxumR2cE?O&noc_YPQ)o4;uhdJYqE=-P_3%yi9}%1FLBI3!TG!y0?$}!3-<-=tFP^M
ze?-M}j^p>OpHObg5~{ASp4^JkyDru0QklQ<R35=KtIim%6Nb%h#<_E+$Wyt-CH%%a
zdL<m3;SFnehHxf_#$ES{fhCOBcWB=8<I57T@q%793)To*ZLw%NY^OpeP}n#i`cA2<
z2ekQU9%B|{LNB<A>+n>9qGIA##$!6D-Us+!y?JxA2D(Fg^P%*kJ(951*oUGvs)~xm
z!C-D{C?_B!1dq_98r}3KCnf|B;09)@Wi8MhCkb~Z>GXroJjzSvKSQdCIzD~oXU|R+
zmR5cDY_<ZbuMLKvl<y=KJuPa(i+9Ad*)y`<+4KXKU4qSNG(P$3hFIJ?ttUVH91#IO
zczzMG{lESkdCc;2k_7zg{Qgb9CjGFm{B?ZuuYnUREW594{nb4LAn$ATUqdBe@WlB&
zzuL9Iv;KADS6dOd#GVWPzVPpb{V%i>Upj3<vSRf!QD9$(5RJNiQP_IXEa<!;7u~ct
zN@}?w-wx;1kSOgasm~q}g{VBt^CZv{aA?O1%S;?DFrj3gPU_nyqH&zIxnm~CP$G|B
z*&@1TL_C~I)i`l4>Sv=0a6ggp;C|TH*lMI`QJDN^v-XHbQ>Ir{QzC)2^d<Gt^GaM|
zij%NgL{p+WsKR$`7EIreZ==!u^$TnMfkQQUH8sJ7SYweutr#6#uty&dt;a+LZ{^|s
z`uua21#D%<whESll6i4NoE18X*}~kUO%+;GIOsUWc$6_#*nCo{d?+3X_Pw$%W{nXU
zJ}Kr>UK!XPW*UnQW;?CUa7Ne`l911vZg}-FnAlAh1DMKhI!x=(uYD163e~>r(`R4G
zg@)j&d^P)JJ+YD5xj7pt#8SX|JS1xF#9{B8?3bnO%clz+rm>Sf&3sZ9=&wyTt`Ntr
z)N8JuC05j|3^L}Q&E6<qGqXa=o*=BQ0f+hU*z(fvt=B5(p3mlz2LbWjkWgf0+5XU~
z3%OX`I$Gh;226z9RSY!RirBw3>Zu$(Le9*gs8`xk>bIW=ITga<a<d>t1l4MwD?J;y
zu`vAA>Y{X?6z%PoVZPjwOFDhPTCKhifhETcSyt7Q%<r3%{qvuDo#ELGB~h*KU4P(>
zT2O^O`$(1u)pDP8Xoqe(?Xy~q$K#`PDv6$hYod9Dr2M8E@<EV#Mq=`R1lHtLRrxz;
zv<&q3uUu#4x|d``)tLKMUH#p}h39QfT;tvX@Qk=z<kH%W&%O0Qnp4)e_ggaBwpU39
zF~V`U4a0&}{Eu1GiaL5`u9-8Q=P5z4dnS3he>i1j_1#93-%U2XBxR-Vq~!+aRzsGo
z$ywf5esJmG!|@ow6HcV>71V|V3PoHn@zcUu4SsFHW#fm5^S;`yqafsyv&WZQCH37i
zY5^tm#k&>B`*)5^g@QXihH3ix3WFc5oFt2AI7TeJrTUV!jnsu|^ob83Vfz%L2M1pp
zpL;1b9pkt6(cj0w4$7R88#Eg%SLWUF)tn<mg0hc}dnvbTlKKp~C2Qgm%yI8GXLJjR
z#qQjAWx-o@Dl)aropidm;igv(^%QE4GWmLJk3y_UpQXPC?uXS4JHKLN!lusSVr%{y
z1)15yD(yBH@X|#Bn<yL{_iRwDt41wgGCNjW8^7HIPGkY08Z^6lL!PFiYJcn2Ef)lk
z^l9%&sr#NZ#A-of>!_1TN;jeVG6VYj=>k`S#QZrPw72?5$`jQ2=Ra$_?7EAdNFDyF
z(fu_}KhwKo^e$Of6$K5#4WMnSymKC|i*JSoEiJT;Bj7C73<lPPx^w5wWEomgNvtmf
zUU^S=WmA919I7X29)81WjI()}D%8X^*!S_Ht2ORN|5Vo-M$9MExn{0-8RTTbf}-+7
zVLo!nN%+8WdW7#e+>b38^)sYkkojNV@EcvI>Cp5l#-?>iYF(>bRVSyN3i<@&z2p`f
zGuhUyh=`w;!Bq@M4m3Q;EZ#@{{Q1zx@y+fmutH!6laUQ}7>``+lZ&#-glf&|20M49
zrO~^f{HyGosiuqEhN1$0-Ny$|K{nb&P^fa9?8!Jm5Xf`e>SJYP#fG-Y6r%iigU&=1
zowivbEngD!G-*0)K^T#y=ijVVY2{FxS$d^fwyOr|yQ#B5r!;lq%eOf)XQJQDZF+C6
z4+-bboVqU;ctUcZ6xCQ8XK6(zon(0#at|+I{_fg`G|@R-Rk45*eKG+<8_6O}DAg>P
zpeH0wQv{&!Ttf3{t0lUE!1l}T4SC>+prqjkA>Lh7TqtU&i$cNcVL<G=Y9cXr6V-YJ
zBlPY2_tkFmC2S|nmk{qs>Qe$J6}5j%7ABVzU;>5~l6K5Mm)n$Qv)dZovd6i1{<`ut
z=S25&iskt$To~u=8v%!F2gzjRua)_-2yojFNcin&0h%#ifR9g`9~C(hxB-g<+8d51
zD}h5=`rLkB$L?0lh(iBERO4vFO#Luld(3S34fzUZ5VQA}Lbu~sYzlM*B<oF${6>ZG
z4P(|^6xW{n=NBJyOF!mr8@d2p(SzXgu=vShw37&51eb252W;UDFtnA%K6{B6)$>G)
z$dP1lAZqe{6;xka*w;=Gy#sKwhiI<oi4VYDcRXEi|MMMd%<st0&+ixMRxkY@5Y*-0
z2nyZyv*QwUd>T-q`u%}FwRg_^8|eH#ZT<@Zo&PW3Z$oAk%N4*6$#7EOb%~d9OWH6(
z(H`fdcvi-tMlnsiL?5y-^5_Y2Udb_SKSLsGDs}Cpi6z-HPIoySdrrN>|Jq&6pJU?y
z(Da50Rhw#Ob{69CnjMz@xRUuij90YBORW2krPXu!biCuNDi9z3i}>II#!A`T!h&q9
z$73ub(<o~pO1}z7!Z7T?yb|6$1HZ3mD80Gbl#h>3#n>nZTLtD_JEPvnS7b=!#_;GY
zXNeeB>r3&d85`XJQ;nOOpO5rO^)AB}n4=5+xglTmeE~+8q=_PQ<799?5}H5Tz%uXh
z9*YZWf*wJRVEqdRF-=;u7jO{6mjW0~hIR;WP=w{2u&7fzK!#7%w%V3cRYPmeQFS}X
zp0-YTxLUrMcA(QZ4SqEKj*m_}+5I{18gNT&$G@ffw?O8jG|KXhsLfves+b@01akz;
ze3c{a_%Py0h|ekN{T{2z^T*T$YR{1*{PRS>>03I!Vyx773tYlb<Q+fRBhor<$m_r2
z1(2wXP=iiNX+P8r0s{jXam6**H*|~7FhIlCO^QdiOQFLtd9CcB-l$1!E0406TZ?qr
zcT*-r>9S2soxk)Gb<9T`;~^C}C9jk{{IbM65%!_-j61yCMvMA+w8pr)CDpF=eYa0$
zox5|;*5}8o2Yajv2100^l&)ebYuSK&utXV@i?pvkI+nWF^&h~Bg^I6j)@Y&m_wDFB
z5kYJ9VCYYr?V}!qw6z_&Bx*yeoLt9{%+cf<@&{_t({IWm%$D#&q`^U4QTxsHE1GG+
z{u(p67tda-|I)nUQ>non${xU`(|)66?+X#ilL3{;-c6ljJrBZ%+NpG2OyC8nS5Cec
z#m*K>yW05!<oZM`*B&|$^!n$=-Y#8spw286(PM@VKU%7EzxDFxk3Dzo;_905%jSo|
z6mNv;9UWzkYt4H;=hgBl3|UH|oth*cLyqb>wC!Q7SE+uPnMr+gL*Dl-)}<nUMF|nb
zkJ23Xr6^(cM>Q5i7rz4F_(mjJPs~7pkSu*W3!8fW$n+x^@adG)+HuvzL2*L#fa>&-
zzOn8KPGQWgu7n-77G(8%v?=*aeB4fk^_2XlGQlg<p5=9vKSJumsVzlyXOCSauSU99
zW6Ms;<R<TqAKtr)+;#%NK6TZQ{X0KOhjLL)Ma8`5q1r`RsBNn>AWpxb9*ahp5#>N_
z>#qxG_vIHQ^U3B?rK`-gfyG%_;tIeJ7^tQo`#yb|#suUXpD7{4+jdn_&QB!WiXXqc
zS%ETHSnicJd6q@tBW2pR(`M^6!fi#l2`g$X--(0Y52XG0L=Ca1w`|EfTq|%oq--;)
z_04rI$`&2zGScJ$eTwnrAQ+puU@hZ~!z!F~9$4%GN_2$Or~6bc4GC3r_c6s_&NDE4
z!K=Ntww8v$Tc8u7PL0Jgx+^(<`SOr&ZW&c93WLxdYjF5$VS4OA6jE5<IbW>CT4q5S
z;q8~|og&hfrWNdhkVCZ=?6?hcHUDRl=y0vo2PPpTm1Rqm8@~U^Yj|ayD$?X8P+){?
zy75CBk$Ec8{jtgP?HeS^7M7pmLE!6~kJMV7fis@M=bkUpFfyIg*WVw9Fj7rP{m;A)
zzhs(+szwK2QM+YT2Gn>yuUiFm@tP@yu@dBdodSBeeHhAT6@63O&#wG%<<`qveR4hm
zv`jCV&%_`ZE9>?7^ge5uvQEnt3&j7D<{5U~N!3|CE1xiMEV@bMXB<athlXKjG1}4J
z?j@epN6&?OvXU;d(y_7Hv4I1XuolAd2y8#FF_<3r0(3IIcXH>9v$_sr*2!+kF_73F
z(DYlvEl^gT+~?9<yp3vIfZk(XkK{6jEc+`VTU&Fvne8_^`F*<n`>+2uD-iOJe5VZy
z%f6Ay$!8_=WM&T7;G*VSVpM`C$51rAvLMzY3p*k*fjrW554Z*OlJrFWD~myfwt0DZ
zE3hjc$&CqOyp#zZH;a0sGpnqPANgsyw-z%(=dV;H%nP>LU!jn}$dEE|{d?w4a*r}t
zSjI&)2U%IfIzdgv1CFjyw8?Vi6@bc(#7X(fp<!|vLQWOd%v(TUfFXhIZ!SfoR56+~
zCKkc}%mdC5YN7d^!QqF(>vW(3c=Jxasmb(E#T}1p89XX}Mdq?*T3Xu%Hu=+#K^F*J
z01gyLl?7x6i-538Dx$$|K_}77<Uz&anlXcpeH%#?nV9gUwC}ymSw^DB&;mMUWcW*b
z2m!psQEo|cL&JJZWC20A_0ycSPczlZSGD)e1*XKaI!TNVZDP^mV>{F82+rOleA5wB
zt1kwBtV!P?VZ3dox^ioUy`|<`rf6&);ytZckAL1?c#4UHPzcOB5iYr)Q(5}XH6z#n
z2$Kmyd>FQ9d1XbGNsEX}f$I7IdcwEUyc(h0S(Em5NAN$fYt#=W8`^pzd&SWc>M?H_
z?%U_^L666M>iCK-8fBd4-<R>|De~%g)p3qUr+IZod?jyXL@z~C3|&J^ZI<x=F8k)o
z(ls##o#t3(>?9V<#&W`xeah~n0tSMMcXDGA=!pgpqdoNU@}ejWvThkaoS-)eyb$Bc
z$DG?m*bbN*M`2b!rU333@T2F=P=Wfk)l73yAgC+1HRL@SQE@3INj%rKR#<L?zR|K}
zLWWOZEchTOi)L3n;_59|#1NukH4$wrECM2k^Jh%xYA5y(;xFZuP*XgJh@tXn!ojrM
zbFtgIg$^Y>J4MvY2&ielFr1<%yM1eAzJDZk$5Xi`fH)d+qDdZIvMlji;Py!nju(JG
zKT6vI+hPqIaRZ*Qk%W!X^X?5%Jwb?{;|Q%{GD6$A=kx)JTqVw6COK@c6eWphY^=`Q
z@3h(7ihRN&ow#R1>I6aR9m#0uiZ`iGLBvVmz=4YMM7GQ-^${3HeFOAQK+QB8cw4Zr
z@X2njjxT`_vs~^XG?f(u%b->|mtnb>Ls*O<4_OsaW4ao0Z?q*Y4P+Xz3IdHwU|xoZ
z8qDkkAne2tU_NY(c7+|fIud;SlQj@l%RuF`_)`5*So9H<_RQQ8am0$wa*^B^9P1Ax
zAxce^)=$z&Uymx84?s^GtE#NTpURG?qTa2j5>;Bp2O9z{-bw7?;&!$1Rz^?M@S`Zw
zv|X5OqHBM<B|`&WFN&tb1Xd&0scVY>1rSY@=voq18NLB436-ifYK{@+5g$AU$q38C
zv}sY@*no>loEk<nf5%(5wBbv*w3nZS4hyeei>OdfYNHrd=k0Z(dLV>h&Ej4Fjc1g#
z?DY%)g%ZIUop)KA2q|bGZyRzP@M84$z2DO$0!tmslv3x#a3_SmstGop>b6|5XQdK{
z%+WPP&{TOtoLqnB^~7^8MV#ZQSY0C^x$uw9e~BjbokXl0K&{*7;d<SYb5zyTT%vE}
z<S|O_R8go!kUkFwmdpj?3>#iBef}xE(&hQA0(znmg6w?$k~;%)sj6CTpw+4H1x_VN
zB=8zkMf2u?y#9kD>EN1;NOTiwWqJAJgC|j5Hr{Wak@#kCcTQIMskXCanT*Gf`YwqC
zHq2DJ>jXr4Ap|j$NneUAcD%!?M2OyKY@5?taN#yub(@<|Lb)SdCq2-HF~oB$*|jbd
z-kE~PS`n74>!(jNfY2fM4#<Ye!aYj53hKUF(*O49Fqp%)Cy#?ev_Ildxr0S-8`;xa
zflzHroP(%4+^SRd`Bz0HrIHv6>FaqmJ!JAi4I#b+_+VBXyO~a<c!FO39TyiZ37#i|
zM`?-(e{IVnwC{jfi*yEl#OS0)a=ApUzQAtbj(Fl1UosyGr#I9RO~^Zs!!!%o7>_4%
zW6dTKo<7%u#G>6GljQuOII5(yM5PBS&&AE`uwp{=Lbb+VB4fKmZW|yN^MM<2pj%pr
zTwje|dv_8&ahB{^BTK6h70kM}fkzU%p$$PrC1-!Cu4UaqK>_4OeFW%Ha~je@0s`Nk
zdBkArxdRMbN=ZlnCqdXa(p*@H*EEoOE++^9WIp#7p_M{$j%YRl-=!+bMZO&y`ipp5
zw}2AMQl<9!40x<0xv?rzpZ9SUPDO+t{DV0jIjNI2t4k=#Mfqa|FW<L}8il~D;8EiU
zS2&I9dDpGHK{MiQJi|p_ESgQHyL-X1Ofb8DDHoveDfC1MMjsMVD=&I496&q*xtp!B
zqgK}&iZS&VOv`0J7wcei4D+>--i^x)U6A5Y==02_)JYF*A6oEE(Aq`4j~QX-eJ}nT
zZ+9wvT99sv3e5AWiCj>r^~K6akho2I$aAYspFj%e3gz@C5w>w2=i`Sc82u*=b~OlK
z5M{7=uLgC9&LyNr+mqAA{ZcHn6-?noX*JpEBWG2ji;)}C;!ps~bcvZQmK&Qv<$C90
zw*(Fa+kjLh016XkL{j+2JaLQ_twK_&riw~=71cL#M5O@Zk%>Lp-`5w*>+nK9lh*?6
zU+1}jgDQxo8FdHf6g!H+zxvF!aaqzVKVaAn_WvS86geUq&Uq8evDbEpKIp!DiV!~%
zA(uuQA73_2=StJhq^d<0S$v3kE(x405y}Y6;VuR&s|w`CzMnrLCx}ysj42-An<1>P
zub*fBif?8ClM1^TG6yk%*&1Hl$d}D-$&cr*3q%%@@VyIb-0-c_FuK4;Gfm5ySWoJU
zwkBVWv!Grk#E-76t!?j^iJ<!OcK30rcT`bk)KL-QtMNUOtu4@ZV^I0(EA${~YhOQn
zxNQFqmpgYN9yW$D5PmbzB)aNSOb!M7h{>@E>--_l!B=|=G<Mu3xJxM$0*o-IJR1dh
z`S))P4I<=L_)wathy%|h$P3eVs<a2&9XQs{NT6CDUUCtM(UIO&<_Q#9W8~|#s~vs@
zDQO|h7@J!lO<!u=;i@z^qTs%s9=<pc^h92`A3v#E;i72T{LGmco!FvVzLy)9kC>9l
zj`Q@bQCmhoW;hyW<wvADH+}(+^#Fn#3rq>Al)GK_dTOvk1g(e^<jHJsq^(repE&;a
zR{G7se1*(qHI|Tsh{OCRtOCyv=i%Tpiw7_Q)THP0lKC7a0Atp%yfTs`*cF!fr!MF%
zIv|N$K(IH~Z}0?{=H$>5&-O8sz1HNlw^(GOTV(8P-8^*FHHg^{abH@SeSuUfbH1E0
zMsuuk@(f1*j-#WhC9z{i3-H)p#U&+q9s<<-0L={)*;BTdggn&LVqYY?HMdb-MP*T+
zb>rT8EY(*y4hw-JH_yfeVqA8UgZ$22yKvG2Y^+vrBh(1FjoW#FZ?Km;O-ujkHOAzY
zbeQO<2od6AppdSi{_rZvb1()o8Ru~iD;$AzfH6YxkR-VDg!;5h@VEe*3yifJuci8w
z!oe}-OKE((G5PJ=Ke~P*Df+>O;#zPmmMfYF+1VS(5%bz=*-7!uFpp3X?{_oe_6ux)
zX7GjK`Sy3I>SDC_dy~X1hK_v<3gt4(oUwqCvA}#fpuHlR$8snn&Uu|-N=m9YB61|a
z)1;Sf$;g`7$J{1jLQypxmMemYwrn?ZVT9`UclCE{ZPOy;xXCG#GiOS4Vv1gpP=SS(
z<LLA?)lVa*PZekNMVOjNWRVM1c%I~8iZdB2E_4v#1cxsTr&xQZ2K;E6gwzfSPy^$+
z2j0Z0Dlc7MuNX<9s}@<#EpxJ56FXY_#Nrrm)*>*Is4uwlt?&sZ)BE?xbOF3)E***P
z=!JP^_iK@B_7N2qh*!jX-ge7?S>oVhMy_fdI|7EZ2z*By-SB4F$&n-0V=L>AIGpeI
zjn*-BqEQe~dO#Q@>Wf(?_VoCSf9o)gEGZS0I+u02&Z9E0EBuW}6JIAUzQ%6+$$l`f
zOp&IAwF}YD*6Py<m2>KhO+e?zd1ynMi~6^2O_P$IpERC(8Rkqo=aA-0AzuC)=1Urs
zkk+4IM>#^xK^S1<N*_sj+-YzYymWUHSm-2(>HUIo6-Tnn@C@5gm3Fo-(~I7a8>o2?
z<V@A2s5Ru%?WJjzDII4WbSrOPyLL#F_K>(^<Y3TMVg_?RKi)^KV0!Ae;L5kd*2H))
z8NNbb=CxA(Zo9m)^ioH(#lnzYh}X8E(?uqf`%Ih&xsu#n6Xqa?xPlRA?EPBleBEm}
z(i%91?_n)NDyer#M#sd=W$9ii7U_OzT$`?4wEJsYt12O$E1Y2#fuA@j6y>rbI`Dm~
z^tq_GCin9gxM$tXo8Uc$3yIoysp^W}c6FT+<<%Yb3*LTAm$J<Pdbj_m#6tPkOOs0Z
z`53IZ)cpBfbiHuQirICB09ty)+SDaSB)qJnyMGWRwem&;Lf}?mrJAo3@Ao;emBjy3
zn(gEQNA4~FE>%YbqG!(|3JgERdtHA|xRTRdr9q4wzXAP*xc#@n_<B!3e-MtvV*`Np
zgf>5&A@oWv2!HfoVct8oD1VqYE}KaZQBqc3(D57KbH9EaLNc_e;gIfHeQ_#)BwIF!
zv}`eoUsu+>n<Ip+WIKa2-x~E^7b5uP%DzPhreN1DCS|vsf3P)+TDYh*?2r0{MlSkY
zmvTf;_^7&doBV6_DpO(gGLFD57ERIbh&Cxt&!2LQ{9-oD*5(XA+wxRXL$3^i5U-&l
z4dIyo!xr1SpTMsPp!CcZskXT#w(gLJR=Tqyi&2!9|M9->am3pbgxRoY;T*RCoTGpu
z;r)H)TDy9%DB6mxmG^&8i9lPG6qf;oC5zz%Mik(44n$H^|5WOJLUHu$jYr+LqCTC>
z_v`NM^^K$YGUn6^4huywZs%zXT2>7#tUa_LuQfIe%-;aU6<;zxgW-fE_)3-Qd^l$P
zt1l&XZ;m0uAs$q68p4`8X{HdaZ74oUN_;<aMv6yr;P#at>bLT2R0!jv&8H}+wHpa?
zjrUIF-myur>lYP&t}P`kWKj0Eq>|~)0}i-cs;3ysq4OcUMa^Id(;S;CgeAQ{9lb4!
z_z}2~+a&d*WZoX}xWSGgUbH$g{8jdnY(E4LaS?Kt4xlIw5x1|pUg_+IdOpL^(qIAS
zm5~_Ykwk#kf|wxL+X#5=y!7O?95AJYgBl9oeSMx`wVqZw<>x*szHj-|8&(M-gFP5U
zaNkW#L#pea%$u#N&p;yW1p827-LE+N54u!OH$gN`fe@ftA=#{ZvB<bLDEoTEk_!Sq
zqJm~hQB9|cXO$%6lDE$V*;_)7HcNy7KMH>{B8x^E(Gx?Z^ESrkci-ruQqzL*A7>^f
z(qq*kXYN@xo14TYM$L_w-mYmc9%0Ea7%o?Zf#>Uv<b+#Qf^VeuWyN_`wQpsq{)<J{
zo*O+;fqBtERclU%=)whaQde~z8?B#MEJw&KQP%z;YV)mf@&JICJ1?*%65U@bC*wp)
zbo~MtxP|o#(|!Qn&!bxT5oG(KUIrxWYaXDSajFoTW=c47%M(@&iS8Iph=N3i_YFT4
zaVH{<;f}=U1g^ro27A4%TSbNDxi)7`{E#AhDrXpF)jzq9VSW{JlIo^>`ntb-!ks+P
z8L;RgkkgXIbCm&kK3v9c6uD0On)2RFp17t?D9UpyE@Kn94I11u&Ec?pJlY>pwm^V=
z$pY;nZ7S1;Dt?-YtjPEGg*;qgUY-+IxaV;&7${fh_peva5i|&F?lVwQ@94iBv6P7I
z6lkolB+ft{U_v4$)=x_z4<NQmzzND(^n|jb^&me=sDva$>FcZX&g)N&SQdzU6<C9<
zw;^jdLCyDegenaijhw8U<R<l%ku2K{+Zva*^SS?e5m9nu+YlYvl_wJPQh7;nb*Jo+
zkcI!pbFj#otdV=GWP3^fT`@~px@XFE7N0$vkgfbpH|`1}E@>~f{Y(<XkSu{?<`)u@
zS+b@2eVd#NvLrSQrwws7UMnW`QAJWjZ};%I2Q0#X><<p_NcN(GojpB^XA7e5ob-nP
z7s6R_IF-)DlnSo12j^guu^kA%I!~J+Pn%#s1O=qN0+?o}H@4^>zZpvYf<N+spL-~h
zaxHI=KdR9^pAM-UC)oR^HPbetv62yTC9@~TV>}=|<IOYvbVLQ{azo++0IeIq6-^i4
zpU(EQ8oBKPu6yXYq7>~r#A<>+`Ay|-E9>^C)~NlISY*UJpVLTgJ-jS`fkt16)qE$Q
zu*7Nom>UsGvm(y^M&X-~2-QA5cVvZ=F~cDr8u8^C@7^EinMb!o7sP)3+pf@QxWXP(
zYI%9~gNWP?Va}lfP*wLoqgQ&tQ@LRDpL-yl`Xcy;3WJUi`U(`LRYGXPz7+kTg(ysy
zOGH!HT)J!I0Y$<<&S%c&Hj}3lwX38ZLg(I_c~<^0l3k5%9A%P$B}RP^!EBg=RK>wT
zJ^=xeRjTLM%+gw3iJ6X{`G??2h62G_1+;VCCzI9!4?Dr(eP1ra3<Ib^4ysztHTX)y
zWV+1=93g%~Pb``{Ei$RiK3G_DdcFt~^yc%!=1xMqFl_Hq0B4o!Dj#P5u`gPfU04w2
z)67~7-oMp9kd=2M5R(rAMkfI8Wb!ko;NajIbi`5wwn}95sa#FWEM;uWUOBqSB;bT;
zp=IBP^QKjK)1_rhNr*t>sanew8-#%_KgJ^(YYhG@)6_mf1uUf7^5Lb67bD9^sWP-i
z4nM11l0I)+Z(@)mzR2z}BZHeOSr<W2e-slWiU3XGkdUM_xFn9KVbh^6Hn}x58(&<_
zBh~f?q(Rh{!`WqUF>qepB^p~Mp~Az3=o6#;fB@v2=pYguL|pujjtLG^VG#4$9?&#d
z=0S8wzD@H+EGJ@>0c0nA@f7QGZb>+e%cV12d9Cr`O)Qwu{*}8G1208f9t(Zkbja>%
zzIAU;SJ!MV7Omc~^4TMfjb-;PYlqFXU$YmY$-sx7*a6jsih$`D+KHJjmF0o54LK0<
zQ&`vxgqF)Y(t7?al4{4yWNPVVCV$?;iejeHU-EZYp$lLZMRGCQi~no9cY3nSZEfPN
z7pSxCR}9x%jy-F<!MOjHfr9UCwQKiaDj#1)Y#8k}If$8+?X-?Hvcv4fe1VU1j7D`I
zj%w;-yE4=WABt~a=6gdDZr#H!h_h#lilnH8_pf`io*6}Fx+cK~SWd_=wUM=YUmq}n
zw-0eW_o&_P)PKbjr&J@^r0qw=#vSJ$jo1IqoYmE8@#~|rOH*qC2=c>D;pB|>%xly}
z{M1agDz50NN+ly@Y0a+7BX&DYn7`{`WhydHbSCe?d+YjLB~D;c<GPO1ge7zRBSWX%
zWw|yeHbe`|B<D=IDX}Jdb_<SkCwa|saY2jL@UWU2>A;h&rIGA?F6O3%6m2tN0pX`_
zl!+aEL%PjgRwydP;6X61oLD`5DyI1`YubVjf~;L>OANtY5?MP<%yzAcX|B;GZakm$
zN8HEA@W%wb3Y~ruEEI%y5M4X}VWFa*@8-dYQH;#amWp%44w01XLgBirw}tr-Y~iDH
z%xrvU;MB`dp)b;3D*2cX0}J}DJoII1jK`f%tFjMfPF^+N*m1p5a{pG2H1-XlwaN>!
zyZD4m#GIz-Z!XY=gxgoHaNo4BoUOQ6qtD){EY7YHtK)vZnax)+2Bn2qxVmT^XL@`?
zQ?z+w^mVZ$_g1}@(T!rPa;&)Rv=>t8qGp+-&mvMhX8yx-ZcQ-Qr0rjs>1MryeiE=d
z6TV7wgx;y=2z|#ov}4G?aCdp$4Hra`XrL`olG}PlQQ}*SBm%e!{1y5@=AplqX;Td0
zuwdRAyu}2Y`1|ujSrHov+Rf`0JmU?iby_<&Ca>=P+dAXW;((zE!8_|NW7G&KL(^yd
zK!3<R`(@BZR#V$KD^#d1D)M=wCMHOn=E%CzedV1jDXfJn)}ttN%|ALc^`ji?hh?(v
za$YE<rG}F%j8=pD(Ip~>y~ZScK2!7&E>}O&ebpa`*htY_Syxnf#)d>_e5|<eAuKQb
z*ML@*5VwCMzKJi*?QK~XkXiYMkIw6N-x5KMMa=ZNF5SNw8?0^}6qqo|+CBfd1fywc
zS8-*xNhxOi<sl!7?6}E|ymu*u&7Tg)R2iIMDdlMxt?`KPu&Pr`GOe7cRmUw3=H<Lg
z(QUpn^6|CehN0ckdH)_6qupCeF-W=XOUzv!{XhtG!`Cu;&Yf|&EdEVewJ)x2p-5>y
zz8LeuZ0Y4!uDXRall9nDzh>R#i;tGB620qb_4~Kpb9&?ve!9rYuGbtXCeE#&CL?Y(
zvfO|-w_o3jXd9k=D7qv{+!@{?LK9)t_zOMQE<9)Fx_AzitAz}o4o!b~OcuU-_kmv)
z_MCI5Oq}oPwc@jkrojCJ%UZE%66{j3?{T;M+`7{b)}$ThyZib@9d(v_=RU*c`@{Zc
z&$#qBax>oaqs?84r8x*g(xaXiI)nL+Mp-?{;5r^Xc9NAVRx)$<H~q-x_EOtfH!;w&
zU(PK&7Jf<Q&*%?M{`uscp-gudzdZu$UPse4tvp8W#GDN86qYHh?n!GjKWU^WSdi_p
z&sfG)l9g+Jbm&X3tPZIO{<lJF*UAg4#R7uO&&Yn6u0%!LEZ`UtHlk6gSQ|Ed32ecN
zb9c$k8!qBA9s9YAK6Wl1W<7Tm1W>yXRpRW+JV@3@ak<P%g00tnJ-zE&<W8RThh7sF
z7OSd<^@=P}QQ~UPL+o)+O?j-&B~B-PTSm=gOYe-4yXsmtp!&vCg6gC7@cFDe>luog
zXr9T`R7Dsv;9ByPsds8{*+X|TUXx)6^J!5Bp37?4s|L3&5!Lq3{&W5|R~TbO{M)oD
z<>i9;z3zwg3ucmw`pv9<Pa0K&iuDrfC0?K`7T2+kD^hGas>hQxjf^(<XmG`le_pXM
zSIT)8Msu%z0r823L<>%avolqrX*AoDFC-zu=T`XG`z*1ss0*D1f=37UT<9Eq(4nI9
z;obJpRpUj9@r8=V+z-NhPLJNN+R;$o&3yGgHR`n<YWlL<jDw9XEYs^2l)+{!aT*8k
z!ix6U2@C|{U>%Ji$&MxW+ls7dCa+iOaMe6}HrwV}X*GI37vpg?VTn!0&rAhZN|4t)
zh-YNl`0wSd$|b17c@=Wt{?E7T9G+UP^`f}w@hrGw_2eLi$cxO6Gjo?Ql()BRWpM^Z
z`ezt@TH1a|$epvQ9E8__naJ;FG=vzOLs8KlZ$e+~=fLH08J$?4Ky&XLntCPogZ5(f
z41!n3QlMQ|TNOzpO)=UqL03>q>o2bft6+j&UdyGPU5Z643$x-LD#x_Iqq4*|y<WW!
zVx03s6pm0dW;V?<A0=udq+f7lt-xW@aQFFG?2rT>!}I)ybCh<eGUCp;Fl<fq?6Xkh
zJ1w)_--|gk$wT|MlDOh)PflVyUSqE#CO8PAbM<7LpW8rxu;Is%vgC)Nf_b0S0#&6(
zo`u$;!8O%MXRlpHpW}G2{tSDSb>+1o9zG&T%fqB*%h|$BUAuUQSp$&K>0h@{?MP4X
z4P3;Ve=yuN_f?Xw$m=OqlNI+E#o-ry(aoBoCCNUSv45+3nPksUKlg08hAEMHto-Ry
z4Dv8d0po1E+hkCj#)A-!EjA$*<orVoV%4}KYrK1>(AAIV1sn%Hy6}PbTNC_!kwB{t
vRH3U=g8<Lb=Ux94G%(lb|9^i%rWZFn4Oy~;E=blg?+$T6|9t-0YoY%QuKHA=

literal 40196
zcmeFZcUY5I+b>E{umEw!QJR2`5e6F~y+&meLsdXQP@;k&geEOOfWW9QjtCl>w4eis
zf)I-Ik~oZDK#CwWkOb*9p(Q{_vR44#_x<)h`#azJ$3Ev==lZ<H3FawlJ?mNPzJKLj
zJicUMEWS%-mw<qPIQ-(TRssUs0|f+xZ|@KR-;fhuF~En&ZByf4!6*2$YE+E@A3MD-
zUh@?Ykc;B~6^tF7zat=UPyqhxS)0JLnZeNbG}}<66?(qgHS8VbfQwRxFWkKS;84U&
zc)X;Tpz@x*Lk0T}c{0-m1B*rPsvmbRmT*5H8vE+t(1~Y<_T2nkKMqb*J3jgNg#X(k
zpLOkS-A~(Aj@qI0_t;0xhN6#BvWG}krh_+7Jnttz{OLgoxR!3rSxvLfQ7~xp#jq;3
zkLGfj`E2M$cmIF;zf-Zr?UD?;r!g^QIj>*il1C)5>n7N7B~pJWGRePskbAgvHlRA+
z!LxEy15UYwypcMBgJ!sulj+nd|7qOW(!TeuohkOyqR4zn#Y#1jUT`fXqXp%e(;0LY
zOR(?>!}nAVue5E9Utw?Q{xu=_JfkQHjw2Rxap4sdmhMa%82*9Zypoa<y0qJ}+a7b0
zGzo7t_4zn6Goz)O-r6bhW$e!<Cw23vbWAptPJQo1ty7D;o;G4>eBpv4dZsc}%gYfv
z(r-Vl_o$lR5b?2_JJA6ddXOaQmM?qv?%lA7U&(U%fsAFiWAaFM7y;vn??EP5T^)V(
zGVls^+V}J4vBr+qgPsIKIC`+kpFlwN6eK(1QAjMS%O3W1Hh@46qSm5WqwwP3<tdaw
zu96_X9lNhG)xXvk>84wlV@r`eWeT2;BR$K>DQRiz7T7B#B_)=9MNW-#nG#7BIlk7|
z4ERE4ts{MRY^gamIyyR}s=Mla&$Ng3l#Gg*&tQ9dd+c@eY$>a47JUIrHdTgc7#fBx
z9>neDH+A#=y%{k|<F~O?FGDRzO9f{@^{fZ>E0ms0p3}!^LUQ7*;+*f^eGP>?YRryD
znkd`uMDhC=Zj8LVy#|g;hi1o5kL&f)Sv*hA#gDNi=GcK3Bfn)PIlU>ZJ4K2B-8Xy&
zjf;!J=a=HFk+n--B(`m|d+(JB&G~5dyJYhER7fLvmKj>w4GroZc8!B}c6KVr%E$zh
zM@B|u<3cJrC)46aitVTG40@Im?hiL8m@gE8vHtS+-+xCmsueg5de@8F9?@}mrU7~u
z-muybDK5+HI)~WC_}kuHkiKA#bjueV*Q@iJ>_~q5_U*{4BhvD|snEVk-|^7;`uaBb
z!WWC2MN#<N$?Te<p6O71cw}T`fkm;??c3j~pmzcTSFl!14%l}V#l9r$kt9do77dnR
z!z->kcHFR`EEYc5HU>wmrN;Fg(LW@?Ylpbdb=u_ZYDZavar;;UI)%Z7mzdmMU!TCy
zYr=V`ZkXBY(3N)L)Q58uDmM~Eah%^Gy7WA#xOY{YX5l>1-J>6J^bJHa*1tw{Irxv~
z>&#X|#NNptk7sAF)ZXSZ;j<<2-=1#YA8~#kLw={LsdDqUUf4wYtHW)L+{Vta-)G6?
z7!8ujfoe=(U`3pB{ZM^Wn+5jy^XFP!_V|0{WR>0$m$t!Uwgod5mX=gaUEQi+clR05
zDS1of(E|JFVq@~${JmwD<|$cJ8u~Q*q0(Pmjd6ntR+<Z}8&<F$eucWyl+2s)!t<V=
z?RxO&bnVnTv;<xsd6TNG!yc2x)j3mfM;_#g?!L7aeWeqk&)!azvZ=j8tz#{9Y0cRg
zyaB^ew`>i=@IENPmh~Rwva(b-%hp%J7Lmt9u0ZxT3B&5<nEh^TXzLXvll<j^xITr#
zQ~R$F9ZV|Go|<ztXPxtxFYfRq54$d2ykKnH_97)^%^BNs12yOmd50i`z3E<~ST&`V
zdkzM>VBIM-tFtT$n!ZmIBEQ}RRnYk`6xz17JgpM^-a{Ub)<s&j72kp2X2Nc@^Sgj4
zx>X-({va2{`=}D;YeIqXyNjz^B-G5ooicb!FQ-D$OXm@$-yjdv`>`A}ol<zKUQP50
zo%=+k;#Br^E&lnf+`n9??BOI%D_i6WJ>tvmf_!DXjE#ZaFXNbREX=};Wk>_Pg-AS+
zoBFQh^XCEG^3~$im?SHlR(a4c|FK@ber=dCLPyt9y5Pkjs|zJ@?@g5v+CHs`CmdeK
zg}jYl_;c^uo&0rl+~Ubm+Kr;yAA90vOp9;LDY{T|sC3>{?0frs3b>VbWK<O5#R&Fl
zp8tJpa9Srazw`iJk$+`j;ECLDl)JloS-j63teChs=i_Vh)NUwgVq#(eOc(00?CZ})
zVm!!YoY`SlwTv%czI2)>_k6WiA(wfOwPI%wC3joOu}f?YxBoC((~D9AC0Ul)=kHC~
zC$`zMr#BvycTTRmW7}Fdi|Dh<U^x$2<aAnM?WZ4+%e|=ne%0BgNntCr4-e|I<C9oy
zPBjR5;MrpiP<rSr1kUMhk71%_V@gU&FdEBYv*<kH7k0UO-|4|gzXG#`?xCR}WOu#;
zihiPez$XYR%nux}d6$g<W9KfT_W<R&`r8rTSmx!Ze&bo5pp%nR$#i!<`n>We7OHh5
z+1$q#%aS(?SxI~R_%T`Z%h<ichYyb{Rn~O5)du$z+)!(jr!NQ73rg#<<9&uf_dh_}
z@TG>x@z!*7EYFPplmbt#IJq!9sdb#!&{)@}{UA(R`YaC&??n3ky|S|65j29#2hU14
zO1ctTrpdpcFi;~vM1}to@wO6eJO77!zX)!8amHw8;6?(FF(Gb5=k`lNj{FnCBY$KF
z@qbW{50~VBzI?T<hW{xbe&oMz@&E2vd~H96AfB7>(`~!BAPbL-(?3FjL098K*-Vc<
zko~@fcvKB~PA58e2AN~EzS{RFRw|Kl`e&JJ5TL4D>NHa|J?yQKoSXT}e?d`-LB{wV
zc1cv_Yf0$pG<2L5T&pKPzGoxjp1=8}g*NM_i--H5u?W+JXlOH5A4U?jEx5iqYFj&X
z#YLWc*U#_0fsRgJUTIiy_nI%<!qUePd+e@@3*pP8A1=T>^~uSqiFaWHUIIv<opqt?
zRx_XbSeTr&bkJ<kxF@A12#!S}^XWg$ZA>>MH<08BOQwXS5oksVdz^5+%)PJ45#KY#
zV#BVR1es!8KDV}pP4xzV=o%7=wN<PvrP4FV)64eR@mJu6@y-AR#l>fm-;-y1lw9!+
z<#R05Y`;e5^s=Y<LY@6|RMp@d%Ya^uqSxueui_m!1%eQ1{=C+H#E(t@c&L@H;vDg;
z$3;a&9QYJS`KX4*Mr!&<C;VhcSDvGP>vK&23$B<1*<wLgJYT$cQDFd=Q&6DxOfR1_
zU(kZ%`X>Fl<vIsV;|6+X1K7s1>=5ie#QHbMHr?XP&Pn~u?zI@JCKa!~;yc0ZPJB`!
zU~vNkRr3WWUl=bVN{3>KO-@cmXcrG}fus)3K#ZJTfP!zB`2wzT)*>b|-fDa*X#_nq
zuaO;}2m0q_ICPnRBLU~<gU<QgYb{nL*msr-eL)thAEB<L_9_-WT?2J4N^s@TwN*DJ
zn?pdB+QS#VIY|t@7@-DK4|YGlR#Vz7si;#JFxxL0T<fT)q=ZNvNrS2cAE;jw#H=P^
zRzHUk2!78rV#iZibjJWnj$z2@>W4~y&lHay^Qst%9GA$YeC2V5N|Fq`XQ+`cgP4ZH
zI^zT0^>neB(&w-#Tw-5xM8bnd?OvspvLomQN;+>f?FwqW{$<mL-;&pclrjuH^)xJD
z)(5W`MUB-;YN|Kgzz5I9QW^bJ!@$#Q_fq>P$F+{6uw`fF&a@CPVzVr^9(gtZdtK-B
z>4j_nYnh<)8XBih7lXNoKdrU99Lx<=mbvnsmVvPv-dXo@GJwHxBiD@S88{rb7a&zK
zcuwkzk@|Ft@ib^sm%Yk#KsD#7tQPkkHg=iKd7`MOC?OV@)&rFuP#IFXITeNTJ6-)i
z=`*(^qwWwX31nNnwy-eVf~}tD6^Z?yIk0(aUf8o`3A|lGHd;Z-8LmBfx7BX>s~E#z
zm^;oj+g6jdOJ19|>SeO<`fQh8;hMCgY}$_!1#3eDgTByidqUcXl0^W4NGg4kc&`_L
zZY{U`q$BYB<+iH@*MkZ>C%@WHQ=q()BwjKA!U@Lx@m7g#=`cE?FY)A!VCS_jxtT2b
zK;<Hs>b`FIhtn-w6iEeEO|l^Salb&NWn`*!NiiV#Ok?9gGQ)tW>IqgjS}(md$B{E-
z3%gU8DaxNm78+07M7*%>AkTz?o7iHhW(&K6et9w2=T>?$6^AqQ@QkFRV$v|sUV|T(
z<fq$T85!g1Ig3lnU6qD)Z48FD5-GAi3X+iy1u4!ex76{AXE~zKr43gN!be{^4p-;l
z=jXRP@RTN>VAWLZmJeIMM>dcjWqfrF`UM(w!J%rLj4)X+evn(f?tmg3C#i_%0!(^`
z$5DV)(Ouit7hX=4=1BO(t$%t6knKHlxe6GGEON!G55sF5hXxJvzrDuIuP#?iMm?@>
z{PvzcP_9F=l;Gcm`FSaI&B#<D<Fg?^6Q~%>{&v47Cu!zbu<##2@j3xK27^Jsk=MUH
z56zCRM&`dQ#pxmP?Wdn3EWGrd*BSr&C~*F{fiq`qIV0p>P@s^bj8`Adi^_+9#+)j&
zHVcG_JIX?iDRgBFTe5bXJ4S{9{7RJ%{o?g2(X?J%&hR~|kS;BG{e{)G8g<IGavlef
zu1D-?5YCjWsd>F4(6wff+bmk1#(CVPU(wzpm=?Uh>qqfMYm-&jSlFC)vDe+ZW8IZ4
zNd{)A<1HSPz@J0S%*{j9NmLN{^WvOW7e-x_T$8NoyhqYbIFy+wty(GHd8vgE-k1|7
zgeW?Izo;}DA=p9QbV_Y?%nah6P_W_Nzd*sAOY?t0lK?1u68CjD%@LVD`nNIvCIZJb
z!ASG73K{V2?Xp^)*L7L+PA~zFWXHFCPG7+D<F)_DI*7l0R!s@;)9UI=lKh+%2hGgP
zYz9m@3?J`v7OMw9A@g@s{Q)^SgZy|O^Zeyv03AaYKXEmX-66-|1S%bGQ0%oh)?$iX
zch2k5eRb^vzkTAj_Y*<@ug3!TCmR(R`I^sq7j9x>m0bDDe>oUd7&hCHZ3?@NtTiMp
zu5q|G(k*f<%+2NAlydK4Lpfo*QJvQ40YL1^mHG%69v5<;7UQWCc`UBRA5gcqAUl+z
zS#!;C2VQ_6vvTu-IKSDnKla}s>S<^!cS8xd5jqwO?FB6Cc(%STn>kBQ#kchK_Raty
z!tt_6C6r_izZ*A@Fj5-@Q807?tdMCu<?HM`vJOoux6ikw14(17cNkFc!P4&Xcq`Ae
zv^4z}Bdev|F0%ubzVu<4<NPMQO=RsSc5C+;E+)5u!;o=#rFVe$#$7jH1={eFhUvn^
z>B(-u-w+8SxyBB%{EO^r_793}VnFLh|Be0rR~#G(lpg_$JE*kftOu653>wB^VmiEW
zTA@ulG~gAUF9;|=Y1;#ZZmd1YY_^^v*nz`>_r_xzB-doX_-aQU;eQAS{1+hiMpFXe
zBU+9+{VE!WjfV2$jijsZzrqU%>=);Q`1QSv(vq<EUAfCOkLn}>YfOs$_`TS_*HnF@
zng1gIUgLecWZ@pb^fFRLdQ6oM!&~7C>Cg;(X_z0F&DCSb&e;G5K#`h}*qT?}RhlFN
zxM7!PIhEi)-EFY=UsBrUpYGxJ-%bonM+zTAj+-c>lB`aeF3j*@=n>LA<<Ur>q8K-p
zNz2K3SXx*x-SRWum2$6RJLA%lM*isQ>+|x{P0wlRY`X^5>@o27HNeQ}$s^yO7+nAu
z`kmSaYl0TB(4KC4s`9`FF|zpj=dQr&LC?G{HxE-F!q5R!QkYu~&If?(PIi2T<>>_H
zMZj8dD8K3lqL4a6(y_RKemao4z&Tb;xljd@;-jQxc+(dTfVijQ-uL7?u-MfBvni9y
z!R3lUi2P-vK~EMN#~Q3gA#l(<TYOm0UNs;7qta~NzY(ISgv~#3IihonR69I8?3MoF
z#fk;C%6Gig2>eqET6r1{uyv1|D}R8q<54ZM)KjXe_t98gL&G|J&-9Iy5ihKMN$2D{
zz1P)Aij_rRy~p;mR-wnn3J$|N03^SR3^i6BP2!VU&Ni`)C9i#+4}I_5yNAGX2b>H`
zd|`Cm{~h*honKSQ{t5-dp-f`^HO$xNp2o&fL;e!p;E|tx-W}N3&>*1{gu><o=%!OC
z759g8q1Omuoc2$jK0U#%dt%A90CrbqrWokK0ljatEdlbu;K10ESRFqn?Cu!Hm{;9v
ze?djN3vRH_V9hKn>dLx<E%KK;1jQg5Gs2m_EG)`^s(B};vr>md;7fNdIg9OolkKPd
zuvF89g3Kh7U$&IKW$+$0mA)_RoSYn(CP*h`BoawWan(DgQ%8w(r?k5n5GKrU!&6ww
zh!dD5e*%0Y{NTWF!HsH)BQkXAAX2`~Hb+9jfE7y(+JL+f7-k#qqqx=pLjfQT_5(DI
zr4_}3<Q_Qw!ZtmuJDcEJFD?nmrOaT0+hQf;mik}z-A%-=JU?6KGT^g9w8n=rBF-i}
z*uL0l+E%e5r#0ZseK{q!vIq<2E_j9dUK+jmA!O7xZ1}KN4YS<E;%-K1H#&?vj^XAj
zl~~e79Q*|7Ks3Pu`Psk=C*TLimgZlbhQsS5D-x{|djPvL&_>h(siPGn_al%K!wdsG
z)Le}h$WA(N!~RJ>?m^OEcDxodxHeXa1W<4nJiyG%?0Qm`7zBc_;?pef&B<%UBOS<s
z$}vjg=?44hyf}SU(fiQPk^2XE3EJn)Rba!ea7Q3Nxs=vwYHPf6D@CY&3NA6VXl}2e
zziU6hIg*qAS%9i`wY2}i(e1mZK3`?$#H|B8%RD3OLLwwr>iElkH{KL!uB6K?ROfNH
zq{aOwM}sDSL=WCh+mY2|Xc7cyL{Uh5Ei(cjavcB7mB6`30+ry@`P#g#m#+%Ng{btN
z$o|Yu{<eug6<$QX2df;fxcbP61%W_NSa<D^6-FQYG+6Pk?WgwvMz$TzoT)^QHYE&B
zPEL}6qGucX^r=DOq`4Y=|F=jF)BP_krQR&G%M6w@8qEJ)id}h{-jD~WE&qD9>lh?d
zM47KOetU(#FYc~*HFQFw=#629Z&ON3J(V?b8Jv)4Z_~Wnr^)_zYNzE?^sSq>j^{$2
z@q^*+g-aD|7m&4UjhTFmehEvcnfUXG<DgrqA&{RidL&tFR=f{uK#bx$o_7t&d0yE<
zwiuE5_ch0$_rn7~CR|kTNNt?Pwf1+Gxc5C!szyk?zk;Gvh1N%krvm2k5fiqYYQ4ba
ztEvl+In=ojZdX!B@TKKCgS9{LN0M2!`%=EW4@J-M?-eVaOWEGz7<%hirRSyPo3BE~
zXebQ3>FHs*tWB-x1(k}j*EMeZ18KZ@R)#-Q$#9r;_a<#W8F3cz3{VwHh^QruvvgR?
zj7@n*2JypTToa**NVRHO9MkmDf4-Zqs@}sAfc|BxL|PbaZnNk(nH@6pNyir{fcc*V
z$ox_YjO9!5-v+Fnn1`jT1AXPUKmLJN>PvF2A9(tu&XPdo<@1T}Vq}A{th{{KEv%`1
ze)mTmZqIdOewVH7hQJY33IZ<ZN?VHu*97=H^$kyDZI6(~T2hlfKf+@SQR~CT{n1aK
zwj^2=m|<VNdPV5vdqhx>aBdia`Gn4n-;Et80<e=1n#CstmO#P;p2N(iwK{n5-If%u
zBa;ASmKrlXHiV80Kw*{Ck4bHWu{5ACSA)RLHc{r?oy$-F+-wb)O>g<y@sL#$;z*DW
zRyOH`15?Sk+@Z>EG76dBqZH%_W`7=FfdG99mv&Rlit$uBLBBEiIUiawp+K^v@**->
zZ6_MN?_kR%AP`t7dA2NoP6^$TD>Lx>`OTjx{v<?!N(0%V!>u&zXA;5E2Q6P!J&nSe
zL4&#gzC@hX)YL@#rSf4o$lA4k#{0mrsSE8lZqZE^D12t81`-eZ@G{`uK4I8qhy3n5
zfZUgbQH3-AI|)-%^)A0{+E?`r{J;nBqfoCGbUVBj&kDrg@{EzG%Ervoz%FvY8rxfz
z^JUIlsI5VNKmR)7x6+Bbo3dou(f^hs|BoQM|3}qb89qHp2F9owb|63~hf4>s5hh=o
z31%#CX%l;(K}Pxh9#}LsBo|nk7`~D|cC6U7^R-54H>BGhn2j!2)KYLQ4E+L${-;U%
zxA6v+JARcfVGyV)@Wcc3FTgLHng{?4au%c)$Nc5E((VjXpJ41F_PVN`9{VYPlJA|^
zRUjU>0<94N)~yyGM)c26Nu||J;7;_&qv!a60a{tsy=F0Vl0PB6|J>gtM&V2Oaq+7$
z!1~3hYG{<Ika~b>#2uP&+R!MKX{QIAzSjbbCcr&`Y9(oIW;UP-7S4tIWmMdHFwiX1
zGP2}dJAp=mKzeM*mH>sqNcljQ0_X(-{A*Y;ISJbLPw!Sd`18i1c#FK;LJNh0wg%M8
zS7S0+sOrJ1%A+^nr}gxzZ=Hk|0N}_5UUoK|t4LA<JiE%tq)wgm)L66<ZkXZxQIfFo
zu_R`OuO|ZsH8Xyp*`drmS$?U4fA?_fq;Qmla&{`TIq^g_bAqEq4Oy&&Up=zAsYrId
zQw(Yw2pHeC_6B}hP0bohf7I9$Z&e_ppg>rif6BjwfSo&Ef`H@zXXaPzqKUGCf~+hV
z^Lc1XjqLxo)JU0ud)VoMYR`{<>^o-R7KovlYMnr=^#NRD8hGyORrJJS25-ITY!{kb
zURSi#&a<oCE;IePyM5too#vFNiq}58xJ-d!{@J>dlx5;zGplvwoMcP+`}c_w3#DIp
z^;G$z9PYg3L(Dgcnvn#T5H7W5Ig4Asr9FT!5%Yi8>H{5en}wmE7qFC4O_V|ISS1!U
znkXa3Gzq#0azJ$`B3}cJ^IzfuXb~$eE?(>5<FoJ-Za6UM*9!N!21E*A*iZo|j#XUk
z9Z0DY716<UTIkK<0XEIh`;^kS7(33f)G;MCE8nDd;#Ql$eQJRQHnenQb?Jk_gQKFm
z?~W{~;gfOl*BR=-3Ozo^Ci1P_7mohjouaF_dDG^$&lz*oUVIQ)<JZ?jO$I7N`q?fr
zYiY4$Dh8v?eax^N&}v(qALIyz;dFm6O*+Z(!DeW`O&3xc{1XzWQp5ObUv_+t;%Xxh
zokQk(hqL2HOS`|?Lt1;nCOfj#tgWp{M$OtGZLR5gbbfNRz{Ucs54-4tQXYK@*6=W2
zwDI%D%I)2|x95m5kc^VztteP$e{8yG;_=F*6o4vGFCT0&F6AeNv>QO>|LCjcjZs?t
zK>tI2X8_-1Mq)Nh=Aj}}J!ilw5#|fK8|M_{<>#P%-Ybluk~n9eh?tjl9|H(~H*==X
zm(`STtQuHy<zOWi;9N+*4<F55zmF|Z@ThLg{A{KIUyudxIq>H+CXIqmuqu$Ysb#ZE
zU<uCke64WRB3<rS_JHb};MscX)VMSqV65)3k9u9_V6vJCCe+JTT-=BTAN!4Rb*uB@
z7s|nF0oF4RDL?ZORL5Lf*vrIDi>aR|!0yQ3G?CFn2e*7LODqtT-v(L!GCEf&T{GT_
zs_9-k?3-GielZFJBp1E{cbWud^<0%`Hy#1AL56xMkG43Jd)BJKfzP?lMAK_oe*nJ8
zb;HK$_n*y25V)d=DS>|uc3wjVC!W~L=m>14SC2PO_uzT?ps({82+r6~f+{UNXoenU
z-2pGf-7=C12Lx5bwfrV%!Vf~)Dro(AD(*W2b+(&X%u?q?@$1<v0P}#BsGql~B^Gdr
z2`-p#YTfnQMdq?j&T%YT0F7J3>Kl+WK>yNF&p&^Ma@6_nP|gs5vj5yoKHZ+mS4so~
zauUzWF}m$}_{t1Aro#8?JG=R1C>!hkqFS||1!6EE0h)g`4^_kc7gu@gn#4Cz6@21w
z*M{%9AAeq!5fdH#&I|w)HlJ^6K~NN+rnxJRHt`kjwI}AOn)z@n@RLV@7EQ1<sXR!M
z1D-PaZ;jUgTW^6jckm5WzZlb!qCqw3ptIP>*ctMMJ^%xnx5d4yr}!N%)IQN4Uf#V1
z<69|%0J88dj-R|ywNzi)JsqbHz!<e_(r@bP*RK)w(_V^w8?N&3=TGVXbd>9s?~f-s
zRh%X{L;?MzAMp4MGl~?!j~K9+LmNI=PQ^zVMxs>{89Vapxv&2bgJC}_Rvsgvfif7<
z3hb%b*so##b!pH^`oQL6h@Dv4e*76<HW>S&{vvf04Lsz_01pyQkPhePH~_yO><Ttd
z-ot}``ptR!cWPTsvE_d|#s431&Behh1TTkJzdBL1%u4IdsB?XV7na8hM_r8{QQI9V
zO;o<fe_2G>wG2bLPM-C`UmFsk1>*AbIfSscTk)?Oy8eGs1z`VP>zV@)Z;I7gwTFQo
zhKF8D9pOTqKuH*;!l^OF>i{~eoa`~^(|iICUx>7y?uW9Vt2WhxVLVVL!TQ|O$S?8u
zY7etR)}A7z!zo{;m$~kBz5s^o#;*Hg7eU2|oUrspX`;7@L%dp`3V>h=4wXKma@p}G
z;Eq`5^VpmtLB7?4btUB4FzVuIUEO|MTG|XKX9Enm5}Ko=qe9vT`a=Z>#xgZ0wgf2l
zw&1Th$QgQSq>pf}A6OoxjkxNd#jzvsg8b4t>xzwHhqO26B^jOr75A^?b**{9TP=KA
zK%t%vD4Fx1gAxi7_{S=+S7SVU8MF_8d)>i00Jo^J))9Zj<XXar5r9FJhH#xKbMUyK
zSSAqf!!Z0J4v+!6p>*JgPxJ}|vE~Molt@!udDP`!qc@#qjT2QzWI)ANm=>uC3hsuw
zkF5e@37u40HNmz3xJK0@00_)?CKI6G$z%g&dW-bnK(S{XseBJ$lo>W-(oc69fI7*T
zsi|zZ=M2a%naof_Qo@GM++<{WF6$pov!w@cn%8#9Y!rid@3Oa13*=K((*-0SBC?V2
zsrmkakj0kqu~*lsGW33&lh57+b%CWO${KJ`b!f71De$^U<?DE#E>L39qNKke&4wQ@
z4rc+?r42`}LDtE>HHh9qbP{|-mr4$qSB>&C^ZD?lS@o+uC<!70R;h3i3*a{pT-)B3
zItKp<a54C!eY@zy7w^`Aw#Pu`IeDYlnXk!V5=K5l5f_W^%=VY^mM8A)`wp@`{CgnF
z4iM&hz(FA%6b-5u*Q%-OUK=^vt&hXYhj^2Gc_RjmuphXO^;WV<+ITZAFn0IZu4*O`
zrLw}4pexwu*qtI&tVeN^P$A3`z7<!(n;dizHy2-;g;-SeWjD7S08X}fl!88LJYoZ#
zjUkTTm|rNzFiV<2k=9`}VR^=D*+qnJ4&xyPqva}~6$tPh0bdT~r)$=xq6f+bbD_%F
zGYY_=ecQdZo*7enoYd@Dw>n0!2kXz2Z;Gj*=C(=;k5z1y7Sg*6Z-e3>mN+2#N+e^j
ztQ4S?)$t1rz{s5cU+i8}6J;-Wu`a3gh-u>W;1-RZ0k%}*YJ*jiuYwb~aqNAzQmJ0x
zp9dU+#=yKU2l^!psZz%K?2{YpgC+rcZa5?Gx4V`O`vq0ZwW|I4t^o)U2#&lo`S4q?
z4|3u!tENYwx~_iq$PWykquTjhb$>d0XXIG4C&ldu9QvvJ4L0iVA&>lJEmLJ4;ANO@
zuwv@!z;f%J%*o&m1XLSbHL1J_bU8xeh_G?FGLZEoCxFH&7bJnX`3HqLOD3d@NX87p
z^z{ee#Y2ptdKV=UfFr4H`L>|mLvp6CWPC2+m~8;S(q6JaqcPCbygQ}9pJJ!*ANMmT
zzRt`qz}eFSWm(k0x==KBDQ>+SaJwP<>3sOfmg}1pe<Jisi1nf|P^I*qBc*`5=;Y=$
z6$f_&<$gT|g<+hvSN79rQ)Mp-=zco97(|tFDgbD<2S8n}ZCuF6mza`4PhN<{0<Wx@
zz7jPGuM69#YHY&PaMXbOhyj9`EMyKHij4>jmE7Ot0-0qaGHTsFiUUCD$3yXs@|-52
z_p*+#nFGKy!311dF2HzGP2)m*`1;y_dMO=+sQUIf7Svnxyw2fjlT<cLZM`+?aRV2U
zv=aN6*=s`m&xJtT0wxF^un<ro6!Y|HD64lE7?YeefRp1!T;V2IT{SgdWc8qhy!~H8
z>5XN|+4^3d;uKlS5t;wAAP`KmBok$oCZ`>Nhy`rY0P7xE-;w3ljl<n(wg@Oc<()rS
zZ><tUGL@fR_ytDe>x`5*-ihN<HPtx~gHxc&qudywKAnBGGr`_PbhV0)Llx|7P-n*C
zOYuyW1atAL((4f1Hyg&d8kNFHPO4q_05TWt>*B9rk=Jn}Gf>{Tc5K{T{>(p8d6;Ca
z1)}&=@32eS{RTC_#GYp<k^n!f!#N|c;=WoJ*oHvWFUMwexh==^@U8vbao2(Db<)s^
z_rq8FyjWHK6d~5j_z}q#3o3CT8l(s)OL2AVzP!>E<<SnPYdIOiZL+Ofn1q{vZ0FJc
zezMV2*<rjji1&OE*d2FGm2DOIIy%C=|Gg`yiH?amsUR)AT5Hv`9X`j`si}rm1OWAO
z0P6sO4}4KZe~SLULz?2JX&xZMkTMi?yu$rO-9kcY0CvrdUswPk&;{^mV0yLkW3A=F
zFx=A)XoRf6TRwoHDHN1CW{d=Zhc2+lu?A>d;;TJIjZ_DC$-)7b3v&RTlH+Emz`GWW
zp%CsgCr(0b6@#Y1z*qy-0lAT~bWRx<aOMRi<oIKw{ZZ^RjgtVK9xuaR^zr07Y>CdK
z!}=Cwd;nP)?{f=lsgw-T&Z!VZQXb#AS>R*VOj*8oS^$c$0G~9)4#Ycal5W5$Xu#fl
zfkfho$&vteeygQVP+nK?GO%01ZbmGE$Tep_?O>v;Wnp0<Z?>>*KV1?qH&BT>c$mxU
zt7e_5&RydU)BRh;D$i8BKX*ty{O6x{y@CFIuzTANvT80rcVBirpI7$W1nKJfL-v&5
zz9&h+Mt`@j<^5)rCWF=4>GUim@bNFse}?<~@I&RNUw_yEb)G|WxV`9`r&~{`p~t-M
zQt;zCZIlvLKed!eBB>44>mp6DP&oK6C2=9-Q~$L-CO#ZLZiljZ|Nec5><W`MoY2&6
zI+@r!x~<|Ude#$x`tW<~_TNEZs}-uajoP}}T-fVy%lU%s6r0haH)Wq!+AMHtfrxky
zLb8)N|K?bzIp%zaSMa!w^kudBXx_|-G=r;14j8wy-fH~~=3vXaf_Ka_ZoM{jQQV-}
zNPS@nueGeLsp$1a|FEwKDsd;hRwd(X2t=`r(c}kjLm;ReJc&D_KRhbU2$K)ormfYO
zvUxvj)~%7`3NO(Zp|Bn9!iL+IM(hw<N7T=NzQH8YAOm6{Vu3&26ErlJVM?$zk9K@!
zYIbPY;-$Y0Z11bIbb-;&r<@&xr@%OS0`(^A%S6zg0kbZ}8Pqh6KEuCzPtU%HY+@Ht
z_>3sSmqv})o;lD=o1YV|fmH095Hi#~M}~<Q3a#(z6$}v#>^#NN#Bm#Zy@rDz!rt2^
z?W>RxQN>|l>C4seuY5`KOBx+6IaErYUEOYdL4Ao3*+8XJsE5;v3w^1lgIZ|@QGOoL
zVasP+#d<2U9&C(B$LFigD;l=!wtaBncD=r3=}Ss?@#Vs%;dO%JLe*ne#O4=i-kyRC
zOqSs28I@0t^zD@G?+%PQ{z3deyg|g(FTo0D4_zbo3Ad_{9JK^<o<;t#chXBAbd$xn
zlQlGcGwLp0OBlA@;%*OG#u9NjG(cd#aQ@6%olsgztzmL$<(=P=N*mo1sgblEeQ%G2
zc14zFgpKXp`N%lWK*IHBA<|xTuUzISFu&ju+cX6chd7F>^+b8%bU07YQE**@fe<dJ
zOjTE3cj@rLVjlQinDJ&FNpI1Gtn75{4LUY?yfuiJOw1-GU3BTAoI02PAVNXV_E~ET
zM{bYtz3QD6(MzfGu>vI*g+C#~lZ24P8I5FWAl(B+H7ZV#6mB6JWF7K^isK}obERvg
zR=i%i68(oKk<d0_O=mXGIJk{<H}t^v>&Z`t?{<WTPM`8`SmckkNX_U0BpjRNI#bk#
zo)cfcT-tcZ{Nl*G8{{lDOZxTBm4l2S!N#hK!tF*EACyB*`F-k!m7JE&j%~hJ-<lep
zBwQ=pY9JUAp*~P8vLfT%zC#0%@pQ5_bE%KY{ILT7qiN_3%FQ3V^%zGxl8az6E||Tw
z<wbQ-0v>(HLOJ3ETE#oOmVoH9$S=aP7Kp>E!DXC7-u*9wVZs&ya{@S{HEvDV3*Eh|
zGv-zLJ+y?)1)^xG;JQOM-piS6)aM`c+hCEF_k}W^MS%DjQ8&f(TWA5s`enDU!1zTc
zSF~v1Q8K1S8)?>1YyK-wrs7%a%XBeO!QCYsg40A{g`S?Mx9+4&wNdg+8|9%C!(?N1
zyxl)=M&^_F9h&VlOU{MkBsxPiJXd{j%^wq<X?(9d*{@;BZs1e<^fa?tm#i6GLa3p8
z9G{A~K+DtTTq=%$n4&$p=L&Z+)zT!zdU<_2W<?72g{++NP-K^A9SS=6<=|GRNJL-I
z27R9jTr3zD>!sp6c0VXPL}tQPrY()%pvay}oW;wn)Fh9L^J`-7UdfMXSYd*w<a-i7
z-}rOrrRsaR^*yCE2e2M=r;%)Vk;reDrgn%!D*r*u?&kQyt?8>-3eTbfgD>CNY|j-X
zw$E+M^`?a;D!M0nX?A6hM2tkQ^xL(?b|WY(O{_pjlKKEg$6M2NWqsRZ#w}j0dR)N=
zy=!a2(}UL<wZwcwiec!zr=<nyg2eF%EeT()eFv<U37>G-3@S3Q2p6((I7iyyjV^Yu
zlKUt#4e`uF;nqsw{VZ;n0c}lx&I8)EJ?0bBa%57v-l#OyjO9XhiHq#2-(D-+(-P`!
zWvmWgaD2d$>d?Af;Vs#*{fPo?@_fvZjR(kjd+ET?b>5Gnn9se5`#*KUqxDOeEq!JF
zY0HZ><<BWbfx)g(XlcWN!PFvy>mKjxF8DNtbDqmfq5c9NiMInAn$&3NM!K9ToS(;&
zJ4C~43fnti6`kSLaGrOaQ3CF`(q=o-qtD&ZfA8>+7dhI;#XRTz{pm{@?DPEi!jf}S
z!tlHF#@eT&2HOJl$?{E%K5CB76cS1h^lV|mn%kRIz6v8gF?&=)4sxOs$3>ULZo)dW
z<}T87J4!WfGy5e%QvI4%&9frt4n8wmky^%tC)O<~ta5wBYz7Zkdj}H@yIA!%F->rM
z8lIumwd38b+iGT__QLBY7(d*k3WnCo^kO+RJ6AqzTU$XY26#DzLNFqJcgG25*9uFX
z)$SKSD5V#LaCSJ!ArYB6hsijTD)*V+1f6t#^DCZOgeQ3g_Gq);RDrysb%$IoaO3d%
zX~EXdOsf7lz0HZD3@H~x-DSg$+-NM5oDgZ1X`j1Hd-IO7GwbYx1rA5-HP==16L;N{
zlEjWk5*`<f6`z<6z9~QXuqoTjeRkk6g=|Ny_oVsvaglJsWQH@I9bqeo|J0zCR>agu
zA;X1d<!=UcV|aF9A3BlS2+>Ovq!mt(-dsE@ceu=ibDCVI-pJj0=dYkyZ4Y!I_YR9|
zKFKP%D%xhl5ug10<s%UzgnBL#ZHbMHu@%DXJV0bX^kria&szgHHky(09oMS8S{iVT
z3xazq%LjuXJ#nqiIF>h&0V*EEN}{in&cNVc-Gvgv>I{q^h?|d5LR4XHj9>RcOZBxy
z>Fkq@_8hM{Z_6y%H$0x^*YRG$X6SM2Oe*QQbh63u@TAj(##Pb&ogqJ?pDG^WtZ`9|
z?E!^F(I{;P_=8WF<iEL!K3>&}@?5N6-{YaQ51ppJm}TLg8|rb&o{NlU=5zGy95ZU+
z3FBfE?(!K4StIfT(Hn<1#~<Er4k9xz)q|jIGI(Zfq$;B4;#N`*um%HVd$FfbTfBG2
z0fRST0x{bPgdHubm<{(jb2i5e3a|g<D^6*QxI-+5XFNp7PNvASoXLlKH5j3CnJRCN
zZ?z(G0RRL+PXR}P0o|9}AF|X?Z1$Rt_wh+H$IUZbUswIU<UpstWuCFAUP${urc2Py
zXF;schrEB86kRr?1<)ek6I;jzdpC`=BaqEeL~q?5t9X`Ts{Xy>uYVWBZ;m0f>&^V}
zFW#f!)2&itD|6aTONv_$m-V4x@29$*Z`zn`{3EBn2mGx2QkF!vXQX5Qt%~9A=fY3n
z!dWoXV#U^7U4PUbzPfeLE&g8`1M{39c-8Fo_kMK<3}1VI(oPawCN{y{R5p5><vO;H
zy0X9xT`rL*U}|5m7As=2@#yB+F8L^RJ22#PK0!M+&rB|;XiVL$x_Z4dN;O5Q5~BUC
zfB2b5-qla`0)L!wNmxtT>`zvTZGJdw!kxW%ba}H4C|twqXH)f%p!VhEKBmdRn0D$9
z#6M@o$967#KS8bkS0PF{!|#pW%8K29_;uZgtz`gpy^wm5h&HS~InQ`3*vO8oR1}I8
zDi?wYV*jVBc~VP@AG6egRg%waAyRmUlsS|pH?u3!vH0xP0IBcXm8m6NLJ;I?HU@tm
z(H{U<rKEcp#c2F<9;wl4b;)xX-_b3+<J5v!AVFYe8zuE$zXOO`llBYE_>8Exsw?f-
z)(lA52Bxus=pRH#`0nDKr$i58+?fMoRldFlHenrh$&BSrqle!i`i3ioX9yr8c6n3x
z^ymw$?<|B&j+pHHq(w6jeWTzv^Y@I#kHTBCvgIeb02kR_)JH@X_l!rZo?*Y#^k2Wl
zR2-FIIGX7`u-$x~4h7v8IrW1C;kuprSdKnKd;iMxTZKfoYdAqKokoD*_?_(V^K~oZ
zKxhkR$K^%qGHSC_kJ+FFwvLGvS(epS=4Q6P$AVRw(%#!!ak^op=dk)}iAnZC<_FQ{
zQJ-7DQuW$Kk#oAfLx0<K>*M=jm0(Y<htWR!x{%f1q=sFbqH_cZA}4cgj#8y^J>J^r
zO04|g?VN2@iDJ!dq7Asl%M)ar=z9UZJnjAFd(}Ka$v*Ua$M&~TAs?mcX-Ke<?GFzR
zj|8dVF4YEG0pEymA<3oX<w4t{2@=vFEyZ`5nWoqgNjP?(0u)V!Mra8jT;1J68fj(6
zuD*LCTJTgg?5p?Ypt$z09V(O$+*v4hPvojVqcHl){p-26;&dLMPI_xkTJwY^qkGWd
zN=ij-s;LHOW?f55OKfbmhp}<vwL=ekgiwm`Vt243nFXp!=Jq+Q?_kK&L}(WeG7;dx
z+x}49FL}a#>8(#?ngA-%B-`?DDVXiaB%Yq02odPWZK5w=81Ba)O6KMQ!Cn5DVNdg;
zQ7<ZOtGh*9^%CT58_-!cvd&M5maY*M=y@hmS&j`m<q+WzE=N2{dkLRFmHYYoAIU5?
zNxHk^&~>r)o}O}N{sw8G+oq<?Op|OM35FBxcdNJW@3m*+w`q!t`9vrPpeaDtW-lxJ
zl3>ynqw4t6xs@kCUSgU}Y|*VHvm^m3H2q_>q_;X_KMhUH5Jm~8<n>S3_%28U#tO=B
zqiCN??Tio&f26}QPzF|>r$G|-do4hScA*xdmTzWHzwG>Bh2>6Ax6j{mZrjA{tT@9a
zu;%DP@AIH@V+W#6Y=#e)I;DsVVZ`C|<14RcR(kR@f9^^H5lV-Mg7*~HLhLTAITOz@
z`(?GoD`bBWq6#uU7x4yvbXvE6YqJ*m)+V^d<|u!2Hly49#J~p}WY4*ZTW@s1yHA<L
z=}&xBq-FV3u75=zaMJ&wx6*s)FJr;}{(j02PWs0i0$U$?ZAIhKIZVlH2|Njwa3Nt_
zrp85p{rqGz!|ElneRY;t9wCW6d4*xsF*%NCx-VAkM2jZdKHB403Mz<V`8HWacXxLb
z+w$R_{m#`W$dxR+<Aw*Ewgpm%!v+QhNj+U%p>Oi@XWeNXR&V{Jyd9(GYrvE^exu3{
zLtAh+r(Vx^0j%=|bJd2-g?BnBh$X)$r-F)mN2}u%KMqIfdrd})D+H<IgQ@ghL-ty$
z>Iv2fgUs4Hcoz*!V1493;*V>w9<yxy{p^LKN>@JCJ^J=aR@42{EUMv#LHe@o>`JKP
zXjZO{Ka(Qq`2JQsdm$Iq6+@-_+giG894P0~M5*Psj1JV^DVVbdI`w1gfgHuVR6+L1
z(YLB3HQH>(IqrV$sR6k+qS|{ab_c3iA7Jd?^@tn?)$wml(}8(<dWIE)(yh9@yy-`(
z4b4u`D*1RkL0&s%Cc^d5Lmkx%x1;5Zx>7ZeSG`<Zl(N*~GdlYF*Sw94>Ms-TWLr(D
z5g#0SSaK|($yRV`YN|j8Xe(gX@j-QU^)%^ofv`!VN&D&P>9%X7ZdcfWbE*v$TCTl@
zch2pw?n_q>+Vv>dXPs@$phv!be6H1UN&Jvlp!!>z)N?zw`>dy5UPAG|-{E_aFqCX*
zuwMOY^3cOV`b54D-IxBw!S#=Hi#3mVe<J>3(!Jk_$7$P%NhJZ(s<bXCpe!&|xFL;F
z{oGCb)tHr?J!&nC0gpQ;5>^Z<^Ww;4GDg}d<UWXE#a3?zcIxk&iCj`p#=OkS%i|dg
zsICkEcYrS9Xs{A!WMs6{u48a8^xzpMr(sy5l*%vrpELr=Z1w}tS`*O0!E<hIZYk7(
zfpt;;Mw&y`bh%mbv!#7~%Wq??%ya4etFj$l(j(s<XVEXxJ_dEg<=#PeuncZq=MCTg
zWl;6x;qi966t_Xupdam0ZEI)Y)QBu39j@Vl?m+F<G3120m|2KOwC3S#PQceL<x}3y
zs5Pw6Y?wK!eUJ)mw7AQ$$!#XCW+0b6>C==pB6D^0jPipV_VG8kyWYE3q5hCDFE#wd
znRjsKA^jIEG=q>g)3>ABngZxDrZ97JbF_azfTMVgFW3wed(yF{;$%Z0e8<p0SDr0T
z<|Zg>kt{1ON3?(WGOtP7U5!=&1rw`1gSB`6ls|eRt$C(Tq$W4WmrVC^0MjpZF&DL<
zh1X5GNzCg<&9*ig2Fzt>g&e~NE8(jalB5{94F<_jLh~Z30p8>2Z~r0Owv+huhF%?W
z{!R|&XK)&3u?e{o+%lB+g+n73U|Jk9-Z8ap{1Jz4Q2eABM`=<WUXRL!QzMY!SEAQv
z16?J944pkp%M9GbJlGf=FX^JLpN{>s3tkpFrFW*bwwA*iU%g^<WA8a_Me?9}qM@#y
zo{Dgo<6D~op%-c{tr2HbAA0*@Qu$F-pd18-I<nTGt>Bhx*m00`j@EY3Wodr|Y`dfA
z^%lm^+}Se%k=HNSsM&(l%d_Uz0aPmx640)3C8;GVRO?LiJd-<&o~s-;$b$UtfHjcv
z0LiRI^5vypY%WY^zIrwEEA8{SR}7I0h@evqQa9YU(q=~?ABqV13FipPMr4Y1L5R<Z
z{={jx<R9GA*7v|Bs77^7P3|zLLX|uYUXjF0ux2aV`-(F`1sLlDO^2ACU^4nPyu7lq
zQsp5-Fuba&is!)3+A~!;PoF+jfE-HOHc$-;KvOSFRlj}f8oTGOT&dw8WcRzEm%NqV
zw(kzx4KmsB8CV%u8^N^RbFWUlzV=}gJ7Dj=26{zknjhzxmoQ$y^YD#W7S0{Lty-iG
zn7b`Syvs-6r)5{nqUY7X-lj~OqhI>^;I9~83(LBDdNTfc*;fj-$ydDxYV)Co-fmbZ
zi-kz)!$C=JAK<0mm6R-=yV(dflNuT@R)7tFHp%V~4Tpfz>UZ|<?_Fkt?f$Kz0nDYP
z5dUwe&9nn`t!nZWQ6Y*GcVCozGKa@(oBTY;tqYSlV5%F3GP!azp@nD~(I!lQrk`K8
z+i@#&$I$1#5*LLkx2{}R;JH9wUtj8<=bt!&IkC6mxnFHOJHoW8x*EcdT=)x9<wZsF
z7isI@C9UzdU4GcB2BKTz?PxmWkh>caIW6G$qf>|@_+jtfI@c|5*m)JO5B8v7&F@QR
z-Bh+o9JzrT+F%qzD(QYjAiRhT=({zaZ5s6vx}H!QU<$J6jV$_y!eM)`6JsB7U$w)Q
z>d^67Ls}46QO@5{bO-bk`mxAXGaWxA{}En(>O5yF^>sv_zV=~yK5Lp}`0Lu4V#Akm
zE2q7`L6?=c&Q~*`2-2_99Ej#bs(`4tHtHZFfEGnWMb!GtZ8eC!8?UcWe07^AZBn}G
z1hFTA9lqnht{Q1=xfL~lA50@C2O75|9=O^CKpqg!BCFH0Ox4%j+gBBYserP1iZ}`Z
z25%qZ^lXbRNFQ!HB6HQ5tTi7sG<OCiXx_)I{)a-qZ_$NOcbx19i!7r``#s&f=<ds`
zf@#8&`*Txnu}<ot5p`~{XJt%4gY*c4hyvC3v(nz*&wOLvOs$mbb)3C_vGgctX|1P&
zld1ZCP>Ia7jNxoa;~mj_pld126RMHa_KGj#ZCet|_*8`19Gb2dRE-mqyfZz9ndR>a
z9$pI-RreaO2RD2$TKjALb0P$u<hmkN=zA%(k4O-55jGZ_)nRVFlPnqQ-v_-QuNam5
zj-C&m6PCzhYG-`_3m7Kx698$v#M(N@y4df;-Qgdvk*^T19sa7T)p-B=JA5DSLPSek
zf=%=uEAF|8SIAEM2fuszb6Ys;c87G$*22qDe&#}SXe~<I93rUePmkOnXSNQi8;X2C
z&n9!>`k%K7D~UtIkb?pcL6(4}#qEsm=Q){OAOamRi1xHTjj&%^_Fl%rx-C-V+5l!(
zq*J&k5Sq4Y%LNM9z3`=ezb+F{s8+$c-Cu=Sg3aNf#fH0x6rw9}@XQY@5``}RI?&*O
zL<$wWk9kAA<rv%cl=KA9$i&?dsTYN*<s;wa258GKfI)dRm3awPUAWgHoR&OG(D^Qn
z08R+dO6aw+S|>3NOtJ?e#fkT?{n%gPaXPY0mE8Rg^#af>fp&w5Wi*)Hh+B@Y2f?sb
zA0f+YMwW>}sxE9^oU(K3qR~JE9wy=_e0}@+PraFLnbs|!B@We{{qgdY2(9En!Sk&N
zh^@WoTP*PT=NsH56nJ+fdD<ttUH~|Ye`cW!`;Q96T4AZmKYC(wOys0*zxcXTAey;|
zu;6&x<W2d!Th=ZVThV0fqG@(OrVRR+I|9T*5Tg43crL3G)hEdER$Z6hydKecAW0MH
za2+X^c=I2E*%te=ngY~2E;r_!#*sGZ8qS=6<F9K6OC^P(uqWHR6}<H(<Ak=}XZ9ai
zLH0bK*GX6JAJ0_<!!7yTaG4(3*G3>YZVhKZX}aIFP9aw!neKkm<I07sl=$%<#p&By
z+lp|T1EGFnA6&^)LJURt*jW;o&4-b-dgRCh$gNz}`Nc6y$6l~kvSQDQFHLWRH*nnC
zDJaaYptX$sPj4s&>n<D77;&0$g$7dI(Wh{YU%=$vO|<C9mf4!lvp9li@I~J;oh$NB
z+<pa1olm>PXorad2fiCzor3`#q&Tz?kMB`k_&RDgJ)HIA98aL)AbN1efQUX^cQE9a
z@iFbK2>CWKR1nDgw`fm@PF->_xJj@m+YW^;P|pC5<@t9>9RAjmcASO@j}@X9%y|RO
z1m>^mq}UcEha2hL6Z0q_Id;4OS2yc)Zw(w2tj?%+TdNrR`q@8LZP%N}C%;^Rtm}C1
z@;=or;VxhwQLwZ7`<i`v^JhW25bZ+8P1H-4072M7XfF9o==Wf-qoMj&BRPgsfH;aQ
zI-?*kAU31gy0+C~*5zm|numad(2p;lt25FeKf#mSCj^<oDLztLyc6oWV^}<p8t*}s
zunDi58Q*3HS--<vlpa<{`5rQ$-~`K0WjzwUVK>SQ!qS$%>miv^UPLm1ITv%Q74@uj
z%;4sKJS1D}ap09Xb;tPDjo^FLDdAfa5^HnEe{W6L{`$6WC!$}8pJ8olJauT)r?L<@
zx2d<I8-;9+CKz0}$GSipRBd=fG$LwzygeTWwiZ$}ziKomsUY?^t-D9htJ8Xj=K*e!
zH7Y%kVA3cE6N-6fbChMV-n!W)ZZ())@w&qJmUU^PYRb={S6T|QhRoDyv!7p?OO38)
z^#i$p`nMF~uN@`Hshh&W2_jPTK-fv|vj_wg7H^X6bTpxfBaFWW%6Y@!*!7<qRz83d
z;+p$l_e<OMunwSt*n(V~Bw7Z3fzbI-G@4zi+7JtT-|j7up+!p6kzG#}B=AGLy+&rz
zJ#EfXC**h4Fx7@Y=EYfEUES87#Zh!K><Ggo+iJ(58SxN_UfGI>vuFK_?DTj4a?<|&
zgf-YxK9g^A6eW}aE-biylD<&qHCVMA627`Pj!2^pZq0_2xdy!lEWcd+MNJ4`p9p|s
zQzdjKUh>?$ym;R(c>wtE3Xsv;;dOO&NBF<(>1udlV&W`O2k@|Mw1+?|cmtq@KCQ!6
zC>5N0n$`;mhk$KfC)k3q0$?y)0CU-O=m5cIv<U~V_^zmRehn0+_*cgKxl2Y?Ru)J+
z-CbQRn3<wR>`*`0CA7+LFPmen)ej2(%%BrX&+M!SVk`?k+H*VlIfX(Iu*{#X-c|8u
zcJ`gchn{bmJoOf~4{e7S1fu!o+t)b%WdfclwfQ<5-2Ox|y0btbM=e0%1c~+G+$(wg
z{1<mv9b<TA$57-e3q`mO^3^2)?V$Fz=0rk5^XNI=af;ONV`A&0-I9htH@JsHqD8%>
z7z>XFFE7{f5|kQs415unK<3`NkCqg&yygZm+E_lWW_O*5<i5TjX$BG0;Sf&QllT1f
zn>%anRjcHak5Nw10&TK^H90xs3jixaN=r-A#jo1~6-v1Ei7F0AJ#k>S;vD2Uz^TPR
zE0|6D#1Uhr(?eW>cHE-sBV)!MXQ5&(^$i1mE3rXy-`JJk1bf)Ln)4_<DE+F57~FN<
zAEsA|0-2PYFhKNSq&$joxq&)fO@h5$=B?t)54+H#t9rwF>Eu{S`+VRAnJ*4&{p*R(
zdiDIIhXW)?ojG>JA~%JA&*0h8$%U_we^iHtfM33rms4R0w{~yXUIP{q3?Mx<qaAHt
zfY-|Ahwiv#5&c}ssqxadOG`=@c=(-@_1(CCi?E+kxCaCPm`hjgmD%CS#yx)-hi5kW
z&IYz9N2~9&&y{0KPB{v#qa2qd^2x%&j^?6KUuW-o;+DrEg#c^wNAKUojvJ;&8%;4k
z<;B}viRzx6SEQK-b+O~Bg5_sbX;)@b<#r)brVNdClnaa0bf{}(3Q@q6FyK##o!2`$
zI(&NU3ML@|Mmu~Xb*WulT|D_YsSr<4bcYfKC2}=j)7!S=lXG*1dtL&dp5YWN`O}k+
z!~C6FG*BDe1lA2oLqnqlj0pEZ)m9+grgoe*J2O+W<0h!eS2!@Oap<9FiF8dA#NV)C
z<()gqEaH9{m)=Fx>%k*<6W=~Q0sJ`W;hxqTwZY4HK~MvJ{}u=h+vVisyo4{@xNy4=
zEI`81pLQ9Ebi|FaYST+1o?7?is7uSwOs|GT&m$IdStYnu!Zu2rt-)LSu>R!{owoec
z<;<EX56iW>od?pu*D|<^Yw~}n)*0f1VY8GVAx2-#6ufJpWG+3aE~MMhb`<>DG|HT5
zxb4^#%iKic;OfM6`2Fr@R0-Vi(9lrp{*0`t7ncQ97%U<#Jw06y&?ak9Jw3hM9Co(V
zTiKV@)okMObPuebOh&sD*=-Bl$N2JLyU~tDXC%W@rdgnP8H4%1WWgX#kk9Q<aXBDJ
zf188*AMJg2RFhlxCV~ip3Kp6LECHkwkRtV}s00v{-a#WEAfogRR<07@8oD%<0MbDS
zNN<;L=^CU+Nk9|~2m$GYGCN%E_nWe2&6=6tAG6kc{sT*rH+j!{&fd>{_H&-&H#K7|
zdxKrf=9O}2xxsK=bfs`qO|$O#@6iGiM$~Vv)}At_3Y_#8hX%SI^x64t4x4(~IauRy
zPL!}Bu`V*7u$6z0+S5;os4gFl#l@jiYHenIKzp#BqtZ%nOQV9#)?}HQ87$scLH3ii
zr>0n{UtCIJvh7k`u43swAl|}{DGfuQNbJ|o9uZCR9QgS0{^|SnZ?5|=ab9)gM`Jc+
zcW@rD(Ejs2l2-crzU$3AQr4CV;Ki1b+adYJ35q=%AZ=J~VN$bla%i>RVbxebJ<0^c
zhdZo%NenXOUzM@4#g?}bP<-Imq4F^}p#Bkat&1ycmOz-Xu5;3<kj3fg>1N>1#Dx61
zcIH+_L4wj_Zyp-8cI)?IM_6~Bj+nVUBk>5-j8u$PQE{=mL#gh>5(1@b7tL1=kBWy;
z8RWBbl!wi9-x;O=h80_2)9UHz69Ucr!(@8sPyQJGPg3aJ=hOTe>U!5tZ!Z_@J(aX~
zh;?DtGE<y~x3@qk7--pqdj!HAzN}k)dU14-o@!16)aYjgh!a*eIU6!cOG^)o2qFm+
z_|j4}B;WE*Th7rh{)YCseVK4!jw{xswU&~?bw*#DVdGKBket@W2k<QtV~D%GQ_-EX
z@BCN)>Zo1aKRpq-)_);_|GG<c_Mh$sD*MKNRio_l*?}HeSNL|s2`K$=nSWpS@0s-P
zq3AL4XE4YsDtZ95O2Ph9>&*9MpsG~(2pxm3K*k2ke)ik}nF@^52&Ck0e#U$e?yyu#
z2-Br+^3DF2U8=XsJIsjVTH*s)A2g<x_0&4Y$KA(wx9^GACCPe9#Z)v#_gKI+*icrK
zmzQ@4U8O`=VY8K-wH$c_F`oue_SED5K$9pe-Nvd$YIe_v7_e+q-XSk~kf@`B$fN&s
z#E$0h@ytHs4C1_KN`hcq*YK1*jGaePd}(QkpCRC^v%VSVBy%73f%#Mta~1aoSroQW
zEJh2cZiU(Nwyq<4PVTG9FcnW>KC<1B0#0hlSTsiY;Z94++m}pd+|}yVSLdZtF#bDr
z$2rxG4}wR{&COq}En8Sv(7XlqNQ%a23EJLZ9lbun^M_=|$KGBq<ZpnJx3@1k8#^f9
z*99_sm*N{kQ3+`ADRBIljH%0jcE>)&C8iN3x?w<2-5CY|n_rNGu#2qC1(xOS9b{(A
z{+_?Yg>z%}vk{0VA9r!019G?eftutHPEMy)Z{GI~VO{qxwK;legZ1O!;IWhYBQLS$
zTx2zYXmhu7lzXSd=s3Bjst)AP%lGcwQ4}Mryx?rug7BrLGO{qg>msYdKG=GTD6_8=
z=1{`#RdgJ2+lM3^ewYk{8F1t^0OJ!#LgOvW#5XV5o!D%T;VaX)RI8u0U^gQ1TcFpE
z<vMcbE4ity{dajTn*K3OQZ-DzRkU&+b8y6$DROyX!P45qWcdwzX7NL9?R4VJI$tDV
z9-#DlP`7V9Y>Pse(Iakh`7kdS5Ioxw3}hXOrU;1ytQ3W2yw`TrSIG?O{Te2Jcg4|q
zQQqSoc}w|3<OChY$u6ypNd*8BoCYZLt#pYwvbm<J6=hW9{l;hZ+3{e9AyPMzI(Z`U
z8~xQLohi$DJTCpSCh+Rk2(rLZTS_PW<?b{5Eaa7%{l~DMEXF5IfQt9sII=9__@bjf
zByNE;#j?JB_0*H6kYHB!%xY}ab2cRLo<R~K-n?jkC6`lHTzr^lcl`eX5LT6)d6?Gh
zJN@B_RVq@rC)clmR2TLuyDT(V;oP;)hf|^)s&BDUE?(8&FZQgE#doulHK<&-yD|5=
zBCF!r0>8ygf30qflgDMh2R^&5?k9%A-y`g)f(kIN&SIzkOk;A5Kn7*x=jWHem^Z@I
ztqjS0Gz>TLW)d2vi?yN3dr~ccH65<YVG(e>1ID4-<n8V|ckixG@QyJ<rTGC`GpdRJ
z0o?TTx~w44&nG4(ZoQtlbCI=-!0Sz`c&>R%oIxtNRV}^c<F$Z&AD};xjO5>a{1qLp
zRorqDE|e(ntNxRRsdzqH*yxfg#;Q*5S9Tv)RA5NjFZdsA6U;JGd0=%x;)=>h<o5sU
z8`8L~<uD8N3)OH*I7`X?Zrxx3J*m1r?1KKW>cdFxu%<r7KE@}U{O$I${A!;Ukpu_3
zN;KOO=!q{)0y;hFGXbu=0#;Q%53DeASk8uWsF*k9>OeRydDqpo_H|m?m`fdx*K!KC
zly%Zz-y4F{&F|Xo6Vl5qSu-ZBgVm~5WE*J0{HmHvUhl~16r63LLrS-fsL0K3^(y->
zWzatSl`R&$ci(EIQ8w3LR845CxS886>qXs)rR;9DLcpT>_<*wc=i2JO2EM2Ml|yPF
zSN$?)ENG)QpHe6NW}~NU=8d;1&Gcv1`TH48J)trlVS75Z7P+{zL`s;haf)|dtG!j^
zC?4nmJ*7SCRr*<$%+d~>NlXuKv5t;!%F}yNyY8`{stPD`y|@!MFgNQeb4-{JD7WCP
zhpNj%^Zd5Tg$RG?0ZA;vSL(Mn*WY1`0rvk-J16#^5ABDbq&Tv|J2n8-{kj)8=Ty@(
z1$5^gUu1QCjtpXj229C<P502yP+x!l%EP;Xr0xF5`)#QA`SZC<Xn;2Gj-l$Rp(j%A
zh^v9Rbm_;>pO#!`6<5&3b1Vqh6x!CiLfbG3f#POV-)*|X7!(2QdV%sivlGOwvCD#U
zCiZsM#W(kTSs%hzxFH$?RqL52Rzj_@5RikEXX|p!iY2Fi{J6t<D(MxXWg}hxd1q(m
zW;eYp8*{_{n->foD{QesH)pc&+myT6=|RJsVYVK&Xc>iZOE{5%_*kv$Oi4*8&|OH`
zK~>jmWSyQr8;evAGQiC39&rbvmSa`}GZzX3HVyO@_{Rm#P$pWG-1+2uk=21wfibXd
zqfT&mcsMi<1o0+k7T4_m()&jXFxcPkgSa0ASbGCJNc>q+3k*dC!jLuUPYSajGcx(0
zFmt}}i=NJZ^9A;}mRstEB);!cj~E-sdEa->(b2J-o!3!y_<ul@vQB&c5m8+e{x?kA
zf&2eP%>SvygP|3kMY`wc(W4P(kFbR!342DGaHp1IIU8c=J;`jSe*E7}L4yCENuR8W
z!F!w;N$4W*>M;fFw=~Q$tU($Mf*9oZ?3t0jK&C@|;%c}P$VwE_>}Mg^k6mP~1)}ee
z>As)rKlh7AAU91+O!`zoT{Y-B>k0X&2@r-BW^R&qOe_QhoDbR8*4AbK^M&rKv4^dZ
zG(praD0}Y>fje<c-La4Y=>689?+<c`8GmN#Bk-y_eb}kM9CPgr>yBOg!K`L;_K39_
z*hmHPNLrdEsrq|aVG+#?knXlhOvOROP!SOkQ5>=@dvfzh*B5!hxwJ>^>QPQI!;^=7
zz@QX|e1)E<8Xm+fP)EB7&pziJn`r(1OOi_a54}^=gMXSs8JT=|jY~kC=GFPHZObai
z8((14T#%NlE0v1I6l{Z9(AG$5#@R#ktK@xMP~h6)*=JQImxDi{m}w}Q%#d_lG=>}6
zwTUbq%UZSu5IOc7r|p`32q$9LsgE2C0o?YJckJ@1Cu8(VS@yiQ<ll?LQR&qU*fQ!i
zjqg)qEMWrum?~EQr2EzTM6(L=6o)s<?{&2fwDeDFtfw?W=q#n9&+&_<To?c5DgUJY
zlX-Mx;DJTppdVfU@%M3vjdk$GqTT^TU}iZR_FuA!L$u^Qy|`=S+l5T|U0cSIaqJt#
zP&EiMD#IwR+)3A`)3GP&Zq~KUSH%G^=NCW^$#%U;^F=ImuC<reua+75k8{1~8UVET
zwQAC8?$5?hGPy6t<b0M>L{6&z&rpTCKiYFhp+F60Dhs74M5okGUW`wkpkm}sL<&@v
zyZdi5gSdN<jq^YZ&bdr?4e)Pkg*wdq+k=~EZtKgRO%bT~^F{@JJ=cJQ!eu$sB~pI=
zTt5PR!b+9h5>E<G4pze?f6?@{5qTwKV!sNhyW8E@%4#?i)Kr~&B!PMl-8Ip~+a(s)
z)<Q?$ERuTI+h1TWq1U*t6p|ptbalea{hWX3S3@u1Yp+(D)}li8`}X+P^SghjZ45EN
zQ-7GbOSKe}tl!k70SEYCo~`NeUvu6B_9+K+T@Gbrb<v%~Tm={_*u0Fzd%<HH;#Qw6
z(e+FPu;w-L)L^&(mt|MSP8SXB&t;IbhJt39C58P|`*Y+W^zmOdM_{o|0)h9$gD*6*
z1S*0dV1ka^H-oIWZ`PJ|^e0Fdjp&+(oDi_&u_)tbg)N2-&p1gO?JWP2ANiA(MR(@U
zTKwEDSJ0nv%$kjK1N<cKNu~bHI97lV>i<gqbM-KKoyRtHxcc7d(q*qM#u}xVK&_}z
zZxnT$cTD(K_Hs^2{+^NcZLTjTr882s>|U=P@P)T^)L7P0){8hN9~lY_@SgyHH9ftF
zqB>@}VCXxElwVM-GSh=Ksm`lb-C{hRO2?`xI)3B|y?2R|1<R_)rVUi~Bfb-}AZUz5
zV+0r_vkXP4X9DjGNM2;+u$T4W5XioQnKSz`V}+*3T1+iFjU>Z<-(ZiquT7pvg7!t$
ziG1towLS(=T7D=5<;)`p8D+a{`iE&s-=htBsWWni@rA$A%iZIh>vCQ#o7zw>WhS|`
zD!@%`4OY%8p3nB9j*$(9lM@j8E?gF@FZ@gB>lGmm>s_87#FY~AQ$k8Csa&%Up1)hJ
zc=M7)<LK_)Ps2`&>fJ||$AzVxl9h`(b<pG6snf5Xv%e63&wTFS?PNr^Y`4|KYFhRi
zSr0w$t_5+q)he5UAWzSpEQ8FPuB`mc#VmuXTi>2F$?Wzy80fvvrE&vXde}9~B<N~E
z&E~CxBbWc&Z&6vDLgu?l3TP}ou*<rgkppu(*oHixHANP_6vFdqIeDnJXNv4Ou+%ED
z>$QBR2aoNm_}en89nv5CQzm>JvNWI-<W@dZJ^HOkP*!F<eDvEhC;6lf`&tQ#UdqJq
zNfcP74QuPS^Ufz;d}Wkl9Ijb0$ZOEI<0rzv5O3vG&R+%F<6}GQw=9VM;mFjf$;pa<
z+=cmxu3+iJjsu!X8F>6+45*d#xTTf@x7Z21=Of092E1ev0upfsCz`)pwPS3(oQv-@
zY&}fh{Rn$Q^PS@+>l1Y|C-xmUKsrsS#&*6tG8BV@M^=R#w?w^Y9xKC_l}R0#f0d|}
zUgLy0uTN|Q^079*#0A~%<UHL90k4^D9>~&lZ&VGH*74LAp1Y=|U(}eQ(IVTn2|SpK
zI1i-z&Ds}#IgCLzKb5NeUNNK4hEV-DU)AxH2iBO${sRYu!ja9ZHML(nt?Y`wG<@Af
zUXC<)%3uEF?ot2>983niF3+vghvh@Qe?Cr1Fsh{o{C$S$rdh>^X<k0Qn>rSM-xGt~
zw7#m()#oU!XuogstI5x<fTiSLQXtZ_BE%aA4vUCLITquz!K7q)ibC<dlMARn>k=aQ
zyJ9B_DDm=7ZK_?g7x<;S==Nuuo0}I<p%%^@Gt<-G@5SwWKr8)j{8IWP94*HN>}B|D
zi2Fy=gsiNrmW}%Jr)Oqrt`OzMM7AwR!D-5>JAdf$_E{6~_S4}E+Xqy@uNp^oZQBvU
zufLyV{QD3J1_sU>yZ`nh0R;V)^>0%+aJADo`1k1)aJ}D8*KNBz!21qf{@ciye&HAY
zzAy{}{onsbL(!C3$zULntlRwl%g+ngh`5CyRH(K-G%L_TQFCp1aV@u#z$2*IgxH*i
z@4#*fQGfyT`tnN7IYk1m3%#gY&eICHcwtRH4I*>O#Kt>A^FGfw&9xZZC6z9JA4b=M
ze~)OL<gK`=dS&n_H9`f)dZgpdAOst(nn5t?C6lRU&aNfBHC99w6pNOUaB7$OWW|hH
zTAw4dSQDtUWm-+}L|t7SKUO!^!$mY^ZRAJEc8I9>V(x#i-s<m9VCWh6&REqukSS<&
zGf!10u1(^deR6$$y(~f^%A<fvWARCu;6;0xa3V-n#5}CdoKlhL&wZ#O=&o9m`ugJL
zRjAe|o8n&UgqGW0160u9scK`nCCokMo{&%e{ShHn1W5&r#}mFhT(w?S-t7wsIs^)p
zT5F2^wYrXkP0hoiC|JWxSheYj84JPc9?#))7?X@UJ>FUa(oX%M%7|ndjl8vKhfQHC
ztF6T^F{0bI%<)b=e`%1n%^2v5y;-vFahWl+PgH)pAT>P5UO#-=m?${9(Esulioh#|
zD!1&^yfE9(TRgz)ehuI}L5X`OP}E6=Fu2+kL?O`adFkA1HCv(gfBm=-Ca<aV-bZnd
z^YkEM`VPpf&9Q4Vn);o*;VyF;WsT>bH{UI5+yCjh7`pxI{a+9D+t5Y*QN89Ur4K%v
zU?kBq=d)e~u}n|1qSbSF1CdwKo8Nw0CJ5ArVuDuFv>*#$xFY;wSHUObOH9PrPm3-U
zu@-Z6uTk0H<koA9QMbq%jR$RJrlxXDg35mS%!DYv@9Gm%wjD@P+4??V)!(;V<oDg1
zQXD+!T(|uP^Pl621v5Eg-URA1uc}|ogQ?jjUUensvx_K9aGhhryX=Q*XzPcss$h?8
z|7G=OQs0n=mkl{Og~7~OKzTeKy%{K4w%2y@;7DE_uWX;WnDex4)_2Gj<#*-9m>U(V
zUYC_Ex7?QTeTQ?c%%^#xB9EcfMtw=1*dvk6u78x2W@b7hBcgPK^yCOh5{@r%B#qN^
z6p$mk@;M|#7WLNLRGEt4v8qQ}oNN7Qmv^m4taf-`9#e6n%GkQWN~paR!mCC>gcG%Q
ztUYJKn-CC6-Pe9#K78KKd3tIphHTlHDXp!jZ=u?inSB#e?x3Z>YHQ9plJ}akUyjf&
zfe*NI=UpL3S-5rY@bE?mZtQB8o={Xi4h@E1%UGPD=%ShP^!XywyDi0CYBV3{6xf5C
zPmPCC^*i9_1Xqo3VSFzV$xc?Tr*rXFhz(goLehKzX}QR8ir;q-s4Il8F|q#swrU|7
znQ?D8GZ$HKXyVlGisS*v+tkHYDJeNkzsuFXm@>4j{Ybn9^VIlXt6$=@o!|l1l_2fI
zUM3J(3-C+NvxfLXDD@mUY#3x@sHzXgS^SWBrGuicjofN_H)R;&N;p=n1la0K3v=_Y
zy#w0eNQZp0;_-thb2uPj6)Y9cJKVoN>wzL?<J%=9B$|6GIyL0{x4cP~9fN8;gUplD
z4@ZBlfxu)5X2^oxJw<~naXn({wiWArrNLEO5mCC;>DH?!s@K+PHAPp4*)*EmgM!?l
zBy@&BeyKpd|L9C!4t!~ka+le1cG<kF0(ekq!EPHJGUnC=>md}kFCWn?dBJ^->-Y9t
z_qLqUzaSY`sgNYjcTSE_g-jZ{ek}+<#2|L_n=ffU_MG?3P&J|ngRB+7!ES<{-*J`U
z$gAO%BRg@(UX`(mt36eH>jH`i8?o0FQ+k-ZTze7~G3FEVOG_xqHOeD<Oi@@n+r#YH
z{!rDOcZFbCXN^JI{!)REB!+_3RtjyICTuhSs|@|Df}`k&=!N?Z4ig2<t-{H=T}VQ1
zX>UH*Fa_jF2Lo;nj{8QdAzQ}Ny?&qI6wXH&7!}y=T)HyD>fS!<KF=)_aeB0khjD0Q
zW1}&DY7KikPxVb@Wo1EOE|8kp5G!%WaYgd7LS=r=U3m*rl@Z$JgY1uI6cRg9q#Wr8
zD*tRsEohey_IY;2ETrF-Dfa_Q4GVdf0gqVR2{4fByEZ$$ZPEr{vxyEiM+;e=&mI&r
zKO*+3HVPo&I+S%}JIr|_Vlws@R$jZp!^g*`7U;uJ!hpSKjFJY?EMhF_Glb(~)kE`D
z1*Xnj@`SrTs8oSyj}Le-CnS+3nrUj=26+q&?Ln269Hg0<8D+s9l~NZ-Sc1cxYEHzS
z9#5O6E(7ofXM~l3GihfWysY5m{{W_ViGM?*onibpO8id+%<on_cutDSBw&i6vRKwy
z`+zSsBa#urz->v=1s}!fy^gM~Hh1$jp5d2vqarmc>gKBiVzj0zW)7ihu^zuq_;ToV
zR_;t%>BNtZ%h>)?ank8Ji>Lo1Fp2|EHY_+S+H$1ea9C64A4llU+TWp^Io~xu6SE-a
zJROq&4hS1HpbaTTID!U*N3V&tGlis;A#a_GYEdM_hY5<Lb_syj==>ju!JZzu5nocK
z;IJU&B;djb^TlMW{B0S&+B>8Z*zv8+<=SAgo6n{yXco>=(u69y*y~Kxy4TLVx1Zka
zBi0Yw+IF$|QAjnQ1j$R|wm`)_>Asg<g+UraHJtR)nw7smo?zMC(}ORHX!@sIWFHZ7
zj;YqgVvuFA=09kg0>_(Q;?k~444kBd0csOj_=@kXxkii_A0N+D?J@`kzaPPAVahu{
z?iIT0?^m$C(omhx{q|-kqP#C$MIk0}x6tLsW9^lTy%shW1?&08eSUH24O&*eXUgc<
zoO@O+<9YWOk4l-~XksfRB%vKCWZgx@2;2>J8ckar^|NEqNsMbgELGqzxY9ZwoT`qf
zb-QT$%)h|8W~<f0br=~lsDn6kh8i%TERfjh!Wi!dcP>p3KOih{7O%n`rs|j%gL@n{
z5sATAo``Jjnxay-p5SsU`-b(1T2Mpl2#uAMme%MKdupg<iwg^%7a6Fu%>h&KrDuNQ
zW-UQQ!?+W4VuIE*ejG%H{E)-1o}0<A*pr$^2UWiQ=x&Z%MW(~Q2G4N!b*lvjogCm+
zENWU@@4S;x_FLZp6|;h$A&$l8kknj&|Hjq7{9WE&2<GR@rN8@&LuXYb`qe=2hdlhU
zrqW$41vcB(|G-=>EwV45Ut}qt81v}nacgM1({9Tos2CE<tok-8aLqtN%&Jh8=uClv
zrukrZcd;%OB@~r;6x|tHqN(qC`sK<3m;{#TjQfM+5TjO3%gL<dt$WgeTs%=eKKsm9
zN%7P5K9z@*!n!P~NTcI5|5lF8lgy{vkc%5HYxM3Om@tUv8dqMVUAm4P7@vMKHa!z_
zm{Ha;;Kk!g1}_*Ev9r6q!jbOU65uc=`m@m`EzZ;1Tm2+u<<opr3r>s@566L3BSd1f
z;1Du@U2$%UUq1nHkv@Np=HuflmrB-^n*8y@2UQcpi{3OKrr`4x4qhSVe09%oi~0@G
zu2595_17-@$Es)pB`hcB-u;9hM(~yD?)d+?@`Vi(N2Tdq^X6mFQL7PwC$7T3G@|<Y
zvzxQasXzSwPZ5;*JI`%zDp*FJ49Lze9o|?<db=w6-p%?>h*x+Pbu7C@DzPKTf|#n(
zRe1qB-kDq(hl@v!D?B}yW1M&NrAHYuBY)>)D=>(wgtcwExxUJwb@UGp9UpW_@=DDX
zGs^9Fb569$Kg`g1GyU|3EP43YU4A>OH~Ml&8J)TNZ)l)coQIOC0t{sjuR9JG3Od1H
zRbw@ZhhGHJ9*_631B8Qqx*EnKwONTEFK>)DR6(x+fv9eIkd*DmyzR-!z|b!Tv+E*g
z)r@)vpv?NTywQ<AHE>tHveBI8i(;yw3S_dWx)p!<xr(LxiA}%wx;lD)--OnhzD&Z9
zGDNBE;*J;ri+oCmBC!+0;+a3-{kdSn96zmKYpr05zB9L0)BG&p{$@cdRTY&apl~(@
zO{X&HWY0$An4$!5yn{-9s~gMY;O2T3fprXWJQVP3`JcS9ws}^i5U_%ET954@qMc#+
z_mBUb5eWH9rW*?U!($aQh4>`}=n-GNc13ORRb+x7TWS;}4($p<;sdOg*voIfb<NA`
zxnyNrIie=;xsSeq-}CsyA#{5sV%i=<nVFnaa;#{RGkP~K+onTP@mgF$^2<)kCUv~6
zD(I#xB*FBNm~;_sP2I)tSv#PDok1r9B%0KhT@$H)Ae^VK0#FW?9=3b6doNl?b-=AW
zU{X#X3IW6k#5NKz4o1XJSZ?j3(H>CN^FUR$I2tOjnFxWICr>_2Jrl~ZlZhQ9VUZh>
z*VIx|JA(B)e{=~?>SujM_YRoES*Z1>9|DbucVyG8W$jl6hR>{~=QBI|ZrnK0r8NLu
zofCq@<M;BawTY`K6ISP(<}j-&cLc`d(Q1ter(s3|r2lf%gjPJ^>ze<E&?HR>$v$BC
zS)GX?Ui!eJ_#WUVMA(=#2=ViXjqBLtPMMy>3182>ZXG27*OTeD8P{R&`qJaCcbCJl
zBqxk-4wWWGqtW!DJOXcy>TD(LVPP2zNA5*A?BBP~lFpWhiEF3p^EprZcAHkA6uQ+@
z-?0b(6}vHSn;nc0I`ljm?-il-dD)8Dv!>?7q)!8HvA%wW#?iwW&%>>aC+E+yMYurB
zkFVgVz<eR82|3piGg?Lce@dl&U9Q(5^>z2$%N)?z+{a*>&DmhK=+3}!+ykX?!EmJM
zu00}I%&{0b4$N^AXkbG@p+J%yW@ef^m7p_|+%-Wp_?YAP7}o_={%|!oQl5Zpzy2$(
zHVKaT848?V4M;?euR2QJyLP<Uw-|5yT;prSC-w0>d{Fsfh&i0RJY5QJn(nqb;5==C
zh{>haY4D=?%X(A1zdjcZnuk+IgR&2p2^so_+`Z`aatZmJ=4o=ox@7_T+v}-{3C)U+
zyiq@4`+33|_L|Zp55rGJ*4bOVupa~Xtr-bQBg~6yP+RsdZv@9J%uytdU1uTi7GJq=
ze_5+*UM=q}i2`3&Ye15cGJ8;N9^nW^y_dSJINPn+xy9oT26OYG$1R+*sPB}Wr$Z5W
zpi}~??Jtiw2bc@-cL}^?b1~E^MH0x}G2nHJW2v-M8N%7PHcy|F<*KO)Rjk?ok@)Ki
z2ndr2WYL=XI;^0!F8v&;(BsXk@9<04QMIuPc3ty9LMZ4FD=Tt`1>VrtukZI#|LeOO
z&%)AD?E2_S9ie5f;}gZb1JSrXO}~%4?gkKvV?dJL#YF@jd<&hYN;an@K=tJsE=s-!
zm9sS}9AffkfP^|XznCg;-M8{i!7l|LLz9Fl*RanJ8=oH}xq?oIBqutJ8_IS0+;NNq
z3!aA9sKhB~`&}o-fMo_*Ku%3u^uE>dA~sgb@78F;(^P}-OOerQRblEmum(Nk6E_NR
zk)phtqmhJoG3deF6D1ixFLkfLaU4U(YPR~McxM>~Dr*9?;6>+`^$H;z!FWLLL;jRD
z7CF8M#9eUK0!gT{<LTIin&t;d2D$jFXICUQ^6*RkQ2f%UZmR7<1N@HK-8ln(Mjyd^
z;1$q8e9kV3xWI7aR$=ev(1WBL$Y|8)+c|ku{M||t*#U$pmCa*w!J2F36TVbYysKrO
zsyVSM7oYkQSbo3H@3SXWJ%ilDEkDdoK;|%$qBMdoy!H+VeIgBuNk6*IB<S!DlF7A_
zmI2XI6^&0z2=M}5o}PK}5!A;(0l_jrV{68JN#_MgS1WM`P+LEJNhkCd$rgD2sb&M4
zoG%5J9i5f-e992YAE?lGwCSUjHSHBnlCFi4{}Oi7h<Hp;Rf>|i8nCGj2F<j}ixuXR
zCO5tEJa1Kz^%m8-k|w(t80=3w&;#P0KF<k0wAxt;0qXFEbV{728%V|mT61FyduK>w
z@|HRw9#XPBb2Y04VmMYu$O1(Fkr;?*C?z9e8$u%5!%KyKt6a<SSBzGA1cy}QdM=KM
z3lruSk6(HO0az|Zt6KWrB+N?57>`QiIEX(zeQpK`MLmE3<QiL2hW9di@H*@IjQ-f=
zQat{IsACRtToiQ`<%BKC#4WGZY~?_wzt1qLOEJ1t_-5Ylu;;L|;6@y-Or*ceHQJ*C
z6hsACjb7ezd86|R#(Cy)G7*byBt(~aW%I|6*F$kRf+zAvij^A7{b9e>+H-63zQer(
zs&s-Q3OP<A#Gm2%y!gS;LRp%iIIt?yV7j6-N(*Y5>&bZA(KI%v9F8QH_10+DKX{EI
zDr1m+@^W%6nwi~Fd|mG&reBtx+wYWRg8kgvyENdVvUw+dlM@x*JJ6@8)U&*?zvcF?
z-?A#!tfxvZdD7ITrl$i*=Kj^V!`PN@Bs;GgSM+az)29MvfCK;8e{vo1VQZ6?N2Liw
z;R4jQl8+h>Q|5nfx^+c4vd7}XH|0^<rtW;^DDCw(#fGPMwQvQdx{d+Oem$l(Il~2G
zss}!1OuoHkb>nHERTr6?zSKXwd2=%i=c?)F98b2!>V`Mns=b!3@4!v${diB%(Hf=$
zBU#T=wM!hAkWHTuqKsAXc>{tiyz{9~`CxU{MlS&P2}9?4!xIf82g61HbO5YTcSQ1`
zanCd=O&#BxqIT|F3FMuKF-4l@S`@Af_Bu(3be;tOUD&(yY-;l=yeVqJw-ek}#Sno8
z^&FdnAXEFQFD+>b`wHApdZx~_SSg#DPz2p)_Bguz0U^E%u=-ZTD}_`b%9J9CFVsiA
z6g&L<&$m$6!JE)S=Cq^e_Ak#hZe{yB92awZjvVh`Vq$tuAP_zv$AeM8Y|hskiW)6N
zEcs;3?ly`TGc*!*^1$GiSjo$A(7-0ZR<to#9rsa*d3fQ9{6xv(P74fDd(WOdhf*f^
zy5=Rb@h2d(q)qq|cnwyNbFI=+-N4t@nLbTvkoSgc^W)+sNV4Z<O=mBmu0n>Xb~P-Y
z9ELdJiS4jwvFtk`IoDtOM@Fw7R|XA(Xg05uf!@X0&xg_NB)C03w446-HMJBMo~*&;
zgh%R{c9_-vAK^IttjnXN`9FXB=r=AQPnuD)<_~|Q*W8cBx+}xB+OsbMlFozAeSmu3
zyZQdQUSq}Dn;R{e8?@J2f^B9cRT=2Om)TR!ax~9J%@5t~7~r!EO$hpB=m*Zu&X>fw
z2T!(`I}fsvrEaFUN)r~KJg1vD?9%U;F3nIv*87>2&9`UK6SNTe_dV^#HrNt8=oM<E
z&qTGXWEoDLcAkbEm=c5F&5e(YHAixXZ2&asdL}iG4T{zgQs>&VSYL$<F~#Nx0aL);
zYWXmB?RfKfEh76MoLQ)J8M@f+LD1YVdb&zK+sK?KY}Kc#Nvs4hWCV7B9R(FvKP>g$
zuZo?j@N~HQJf%u{txvW<L)-6^sTJLE*#F2n(}oMARY4TUS0%+ab8rQQi6*LG2wr<8
zV2k-!RLeIW43Z2yz8P_ia@Is+S_IWQ;2<V=oCB?+t*56qcb~P^-Ky*|@e)?@kA<{P
zQ{UXm(SH8^0#YdoDPEkd+C(_ax#wY5mXmwRMBw`sPcV<SCZZ`GYmJcgs(S}GH2vNP
zkKHc0I-o!Nr(w-RDsHYv46T!f_&&cX#vbSWY!S|+l$0t;z%B+dP7C|Ed#<TX&CCSV
zc@9@10@adrx7|(}>}q-kWD!sTwOxs+&R<MXQb(3s-m`;H8Uncq`^spnPz~$Re>3#U
z=4KEdS~OpIn9R~6YSj72JaVzgDXSo6X-XrK>HEhFCs|{wESz=oS5xs)OJYh5wKfel
z9&T}shnl!;P;gPYZs0n+33k0CDM~<Ash5Rza{Qg@+&*7>{Ny4ZL!HhQfEBt>y=xMu
za`9XFH`HyfT)C1T);t#1bgL**Q?w^)IUkg)RR~*qOt}^DrO=109^FIF|J(p}SpWX{
zF7^PjI)V30^MfGM?4*b>%Ng2cC70!%#fIlF-d(BiNGODOXF*@=<^bqETYoIea67v=
zn?BQj_=Mut_b%!R3X9B84+!e{%p+2PLF#E^sWf(>Q?!nBLdBvA^=6-^0M<hj=5XV?
z2QB<(J&CF$FKK>*o^jYa_p%?PL?XQd!BHg|7dW-Q+%;yC3=GhIu!g!5S(2{Acl79h
z3s}z#HfzbI_<g5s_C$;YDDp=J2ZIvMW)L*6)oIN^1%%y$dc!qc7ag=KT<+hO7Nj&2
z*~g9rSrgajLWUQI`^rfM6T<JHvxI_4iS?j2NsB=6P^SBJJY#41U7sqd(X^VHLQE?R
z7`hO0#kf9Co8HCvmLbkZ6q7uM8-6x$l|wh@&%JTAzAE2y({*(Ut$U|cinSIu)pm#Q
zJwJ6+dWsjVc2v#g{M!3LAC($GouvesxP7WOgu0Rtkc#4VGrE;qzPb9G58rtj1+qiG
zmKOaFB%8*TILkc_d5bT8mE+RV(1nKlXrFKdJUd}$OIMkgp)xlAaZ_i$v26K7gh*9D
zK56Cz`b(-{7Nm!ncdLR@amkv>?|KYN%3<w2gJZCVPDG&A?x70wKgE09d{4NM(^IKR
zjGep<JJz`TcSmGe0~xiT9N`|13lQg~c^VjW15S>Fj)o2l%U7p1h599fGO8@f2?W7W
z3r~>a4GmQQ1avM0N-c&us!pkT)*JwES997CFf%oVPrcN7dl2nHeR(H}YF_6rdSaK3
zxn#>9<~xK-Y5v;xtSkI-<oVIDr$z7b@MDxejSQ0GZL4z!eeGi=*8*7?WVt|kBT6S6
za1DZ<PZQmbsI#fx8J93Ed~JsfD>eegP)ZCh%^fz)B}t~>Af5rIIWzm+CJ%4pZRMSM
zv~0r!1v*Wsf(NP^Pmmc3N$a=6$7YPiUL#{qh@-%vDUIp%stl#M=K#TxIA{s%l>#ah
z0H^zLht!7;AC{*~oPUa(MyMLyk{dvmgy&d;=@Dtnm*ki-A@}FloN69E)51A!g|1^6
z_SPLQ6}|+04fybA4^0b;!D9_yc(m5SCVY=+=U%K%y$OdR)v8wU5!D_)e!L~~Jn_|g
z>SI%J;}68Q-<DtFy_S*2QYM{q{8PehnDYmIHnjG}h?E*(VL`tAI_IISqHkan`=GbY
zFU5h8;o@!|WDew~69p&#ptZOOt75H1K#-Fvmta@ayJ?BNRn$*w6W=maT+R8q3hn9j
z7szo<bUO<M*}<lJXU*Kg;+RwalEi4Kx{-*)TiD|`bq^K%M@eB;7NyOzGiVDE!nCrV
zegFLINmMYO=NC(}F&CCGB$rF4In9_pMb~ub?9Zs(va#Q&y+Og*q65>&hRN%p(;W)r
zbwh7&Z!+vyA|LL|aa#Y9byvMdny?;+AU{Zo0Uy6m(GM1DS~0wxPyEznCBU#J2A2u3
zU7qmSgYrNqs)!hd*6DMSnVg5C64+I#o8_O~njffHYV(D)>dzMiRf$gbC3qdLTM#*J
z0ufNnbXw`KOBp)a?lhcAHj%&(!gFw>Dfd>MstL6E1Fn{zgSP%9;vQ6UiqF^QQSt=9
zuR^FA96K<Y*TGXK4FQFaP@iY*=`1VaVSkW^o_OjBr9LzYp<51ni9KB)w~-s?N|*Ey
zhZNqmwmrch)ngZ`a9toyLit?vIn$B^S1y3cF;xlTGOvN?z+G`}XA@40N}K1fC#2Zf
zudi>zN70>_IG`$02b}ocTn6X^b!S)C;OYjyZrE1!4uBUsPpXOMspd}y2+l7Ch8nTw
zU>Ag}p5o|}RsH+le}iTCvUk8HR+MKNIY2Ndu<WZo4Jf=4^rUudQ`eP}Q!3%XbvLNw
z95o0O9n_Ok=^DI=S*@U}!OE`?moA5Kd&X&LSEnY>;q)OAud6pGLYys!kJ8I#{u;1`
zs&*P)y8U_L{ywN#Ps~)zWNnK#h|h&nR@nMH3qbi%-Rt(uNv&6}E}rI@ae_rU5Q9`e
z`56<R0w}I3tT|GH9!EsAJcil{Zoct_apLt#35U0f@2&s!Xy{dG?1C|>)(Upy^cE4#
zoogjgkaGmLJo7`LzvzHSK2o!OPjOEgzE@3(B91ykh#zZICW``V;F33u^`P&~WmnaO
zvN7l$<~-Tl-%TcA{f^w=f#4^#R{F+79)v2TBA;53pW60)^IqP@+Q`Vr?TFe?kwWmY
zx{5)DqWlbrdwU12&H1QIRpfhG(ZT=z@%hzS%?cu~fwpU!8VZCgTbUQD9~__H2ce7k
zAlS62_t+acE64wyb;rHja>gHf1(6I!goPcRR*4<<p#fyFEoSw3LmM&d6MvdZlIMyh
z9Dz8ds27@w@31dcMg*EbymHX}S}JVBI}(FS!yqSO2IUun#?7I5<HUU7(}uHEpSgcH
zLYO<uWpAzXGlQ(p*-pL5f3B?;&8}8J0N+=c@9bVaq>e}yr(loHW6#x~H#9JK8;7qC
z7`hvQcY?}Y#IcSyYVVZxsIvWEyzaG+#5BAr7#&YfmnQA)ZBy%^s2paPJq-nc-0@}+
z%X|;B^b$}aR$r!nH3yjllru}pgeQ!|MlRk2HIO@!Is-9-2M%DR!lwE~7LgALp~wt9
zdQd_Fi_qA#Dh|ghGok_s@l<%~*)teuBQ1u`MwF$-Em$zC8>S!$>yQn+fsg22Y~Gu3
z71mN9fO?i^-lChX%=Okb^)11*I58+gnn5-cE_Yj5T3UMKC|XUJ!jJMrw^I?xy+cDk
z?PU^PC}fBlyC}a4ZMo-8S3N34xC5l3VN+h76Q{_dguOjIle1*df5PbJ^(rN`eUAVt
zNRq<MT%C92$dKW<8>(PYrC?G!EA#z^VH#M7A%Q``LBgU&#Kb}*dfGgjEj1@8FD-rl
zfueZxFq>M}6DrM!Wl}gz%|E5gnmEXHJS<eu<)z1En164uGud+Lj_b{9bJ-;}4g>H6
z;JlWJE`ad`2V6x1D{<3olM|}g8c7N(kTe!mof?BK=MTS&gTib#!|o4a2!`ME@B7-w
zC!WB5yY^|n5`%^gga|ZbU3Y9g2%OGzTk$jecJ6-4UWTX~lD9Pr=r_ebgZi2?vbk2+
zG2#*FFFHAE&#)~fJPR8Es$0xyw6|tCs$G@d18nqD<!ps9^*}I%INdGlweIQfS9DZ3
zyM0{Y{|>GD-@P^j<yC>ZiBh-`vG@Gd3#$e3zwt*^bG)sI1ZrM7>^z+TW(bi9dVTVp
zyf}rNQ7)eTCqfX>B+~rkNUK23CH^S<zh1npa+LiPfD*XQX{fEK<jq#LA;9*iwNGzU
zo=)`JTGIReAqju&Pu)7ICUBY(A~H~#HtFXaWP^RVkb;uBajq4a+z%te&~LYMF`mW=
zcf>HSZt(3_t=nY2EH_<vDc${3m{NG(FC3TCK+$`SyuN*XVR|#UPG=r$xvmo3u`}2b
zEB!Q_x3TH+aptiJ>w`6<YeX~b%>Mb6blg@RQDH$z+H!enbSn5$n1ZjEO6OUvU_V7_
zhG^USP#il#^(4g?m5hzWm}j0EA`l9zjtN%V)Xy?~Hxvy$QbisUv=XMALOsUvM=hK|
zwKYx~i*7NZwyqKd5c^RTcMR8txiB{CVY3^m!jw#ye7@*tml6}r3Tg2Pd6asT#|uKu
zUW@cVTf~VYu>}@H@{ym9uO3<8bmf|8`uh>pJ!#_Fy_kzbhm8lHPb$lAShHd4w#qtr
zedYFw-@=$z^*LLg>j@=Ik$Okcw`>)u!bZ_{H$KshZYZA8A>&Stn2L5>6BYQDXBZJE
zIBYW-Xl4Co-9PT^mPr_~^ek(9Y}*ze%2m>!=IiuN*(++^A|F<*MPiof2Suxb#VBQm
z|Dvnn;^h|%;fHL?C$>j-&#*lzWLDpos&}39LmrsZ9Ya`&QF_=qeUEZ2w8r4dwAbq1
zdGcT9)KHZT*hri8oEx*~sd;&tU2ymmMIR-_(e}R5`lrbH*sN#dqm$#enCmB=y_Kmk
ziSd_;`^AO|*5|Au<-X>j-t(Kg;uZ!&5fp$?S&Cf{L-n2QFNk;)SR`W^RESFz>#r>n
z`LXwe0cUP-8jdXTqk28@{zg%0@daX;V71IprzNw((BLTwD|2;9Guo8cggszVSb)B{
zc?}zJ<D<ojgkMq0PTz?)RFYX$u=d8SFONsxM@AL}y-|1<<8d$HTq;MLy1xBtX2W-d
zSTpPEE*#cklw!fyW6T%q#3+$$kK)q(D4S%qLB5>h$)oRCj_kH|zG1nk-K<%L)G5A@
zuFTQ?DJ*q(l5MaY*DilRLTg@6FjlW5befU*f~^?EDC!S&7*%P<AN1vH{~}K0N1h0C
z_2sKHt(AaM0)Lb-_LrzY^!kmJs)AM<tc{*8iY$&KYpn$-2F5=+St#)`pYx8Fw)nBO
zHo^1;O1Ge$vt@06TwA-%*{t(PoAHQRjaQ@h6A;PoUb8&N8(b~6-gh9_1GCtiBW+!H
zWZ@e<W}JRZmmJ575J%^^nH$+K#y?cc%N}WOHM`|Js=Fm(5tgz1uEJw%*?{?yZnVBn
zYR#jYj9R{k0Nt}c_FLqA4fHVCKNVhjqkg3_y{hKUS|s}0T-#d;Q!B3Apg#P2tH|z(
zC^U{w`{IQ<no_k-clFm}KP1?@rxiNaVeCU3FVMBm?YplK&yOyoiw;LE@}Z_0DUmUz
z)<5f!vEN^0j2Xq;yVc5kFMZ_MEq%_<l8Y(n$xJ<IuKN^Xq0mU=S~$&LP}yu+s<*QK
zPHUMYarOXbZHCS({R<nnBA<2nXP0iAWL6CqFp|FAl!ZO;@|@m<k7cuGHLGsZkB+q6
zbA~R%wtsYK@mAriI^Mmj^=tFqo3FTz`s;jozWdyiOYZyrqeM)fMxQ{AiObD*n4(9O
z-+TG;^v{C?3WKvb%lc~*r62Yvu}g5_>;5s!qr_qQlzJ)4Rc#DEMbD?*8MyIX{mls!
zRsZ9e!|AHW)u=hIo2PsplhDk@3ZY#zu@#+GX1}mzrJyRESB;|4=m#t7(N6wSpu#<y
z6qJa2h$L=b@e*A&B|Ur;5vY=6ozLTM80&9&JVVtV+h#N+%^-Vi?ju`=ox!#C)UXU2
zg)0?h+}Glcsf}qeHws11OO3j_a(x#y<~{WFW(>#7jO4w15NYga&@%=f_#xxhx<!d(
zPBnoyBhQ={mkd_|KE`L+*JL8{_GcCtacUNn)oQI>Qry@d!yk0&6vblHBeIpnOpuZ*
zGtUvdK)UZ|6mAzF89*{oUPefI`G)(_W3=p^?GQc8ruraQ-0><Gg&MP<p%^%Th|c^t
zzbJtv<=#n^3j9sq_yTo6UCS@jdf$Q)8{utWr1j4Ws{B;;)W|50;zw_euvO=A=u2--
zPaWAup8bUUMTuTGh~m*2IFl6jhes9e+UV4N?998OfMCNyj^ikGed%8JHvwUS8)c73
zjZ<xQ@J$%nZ{OIghwt>(Rf@S@4z;EmGi8c0dD1Orv^Ael$+i2XAjO-F;NKzgp=FTo
zyYZ_xDbWjiP?4fPm}%_H^}0DDfg6`D*lvXEy*tK_qQ;(sqN4soRnW=@8>t9?njV|q
zdTg;7@dle(w?l)>0WsDpd66F?L)inarSiG9KR8h48MZb@TFcCcMOcy~g>rPBzVz&O
z({sG7Qnh+OXHIEKf&$Ffv%J}FQUaLKz4_6f3tpQ%(7E7BJR8wQd;MtSp4J6v@0>>)
z)kYU02MrK`4;~Gg3R8@*0I77DFZ7(i-iup6qQVdx87~6(^*=T)xiQy|9AvKc(leM%
zz{piyO8<2NL8)XTE&u+gYe@%H!1XWPHhqZxAN)rc+hTe)(4w+R`%R1f^-z~}HS#ao
GKKd_{T$u|1

diff --git a/reference/ggplot_sir-5.png b/reference/ggplot_sir-5.png
index 53e9f508df2f62bc0172772fe4947f62f0e3e00f..e095b3304445bcdd0c5870a7fef9aed07f1f5782 100644
GIT binary patch
literal 52128
zcmeFZ2UL^Y_a+)dL8bYLg(@lm1O%i=Z&nChP<jy~MFT{72~`w6l^Ud%h(wVt9RdUt
z0jWVs=%EvOkrE(;%p3Kad++?`KleAYX3bi6-Cx$i#JuI4_ndw9e)jY1lUD|M8Z0Nd
zPJ%!n7Kr9;LlEeg4+up6=r{xL%}7G#I`GEuNL%AJ@D9B8Zq)<<ZzrB<nz@5Oyy3Jz
zy6D*rI}qq12y*+zeV?@DF<*bn2NdcCsoGnx6|9R{Q~L1o<eAK~kIV0<YfB4jhBCc7
z!gcIG__fVrhhT||sTYqtz40w@FYqkCl@#Qb*u&dQBD(R9LMlqiUw%ZSI184JZj$*S
zC!P!o>h`q83~X*BX$TQB+}DUYCl+em=PXbB>e;{l`QI}Fj^PkbI>x-upSvUPX2l7l
z3oKlQv_N{c7J5r>X2w+37iSuLH!FYIe+*gp8LyYP6@t#T8mNPBOf~h7UAJEyt%eqq
ztCiz3#1^a|l`k77$14ZqIG8U;EWnXb$HN=fcy`bJ>1g+WLXP;v!|SrL1pWmU2pdH4
z2C{yy*yiQSmo9d8c7x_*3)spNWQhQ;_(IrYsXgm!96STO(7BFe>F&*1&kSOnrG<r(
zdXF-sUiiwDsxs&C_wO&)qwnB{m5zJU{cgnL{xCx=emEU@;WNHV3w)ZQq$qy+mA^%g
z0+O($3^$bL@rsc2eR}fsCRim~Ry38(K4J+oo-osuBsqQf`t|GE@;re?J$3lu@SB<4
z8rG!T++3KzlfF;)yuB9h{PP^yA6Cw>I3EkWAqwfu*7qir-???=jGKt4s5hidTQH74
zQQXSBfARAPhENG@#d|#`CZFxbhw}16jvYIOGlxkxPOj%0U(XPGl8hsAmpJ}-&)ezD
zE>Pzjv3DN=X>D8e5&P577R!^G=cI@Emep>^6ys6spx~!?u;@ZdCoa^Avs9v)LlpAr
z_E$~a$zn<SOvyRPuU3C9Oz+P=Vhz#ILQ2k6@38u1RATlPa;$jxA)?^)Q9mUH*a`&6
z^-&*%H9`WtmMF*Tea2h&554+xd9XzPF&?evq~cEfflBXD&oO7bIV7bgUJ`jGx+Q3G
zbI&CwKfl(nr}4|fXV1~F{PKYpH!s0=mWOT$P`+-~DgcwoVwG%S5wzcn3KV?e=bgd+
z>(1!&&<-VOhpyUd{hpwCvjDLP7E_pAL1dY?vb41HUy*k|d=%qk^@{+<Cnmz%aX6I7
z!jFg7cHg0Oo0CL=Q9A<px#zDBF*i3huFyfY;&AnY9PV}Kd&o9QAoT&$dGS&In9YOR
zn@??Jq+h-8kHy?i46)w`qzG&l4;@i1sE+khc;%DZ9t>W>-M=gvvnX}3)l}4GY?XFe
zYnr8RR4VN&=ZLmfcZ{qUz-9y4x4r6V2M;l0hQ06k(56x`{5Yb%Cuf~*I9!YEV!(Dz
zaHRnHdUF|>6;oVXJiGmAsV(W;hYuf?1k(E}RMgbet~@cmdXD=NZSK`R;|UX()s6oC
z{!}-2_gfo2{?4|xlb@!hru4FrfO*?RaE=bS@;SIjt=g}QYPt1jgWY~EI&Wt5X%=)~
z#>`x9S)umLx-A6uXPel~LYnUn(6#zN;>z7&dbvyLabfw(3<@qaa@|dtv#?K{-#-n-
z$1W;f6p$`OzFH1k5m*0`nOF|9h*FO3XR1^8`2PJ9aZ||9N(26=AV8`AI%wWEU{SYD
z(%xwE=_q7{w-V3#BoI>}3f;;6{Q0wu3>T#U-JT$3QQ;1(NLAR%SaVX|c?s)-Lh#wM
zXU8zUn{(WkW4{l8ReHWGthhFFI-K$J>S!73`YKHpa^9-CKM*2#tK)lp($v)B+@;{M
z=>wyvpAnoXKo2=n^SOR@w8KAQST!rwKSiu~O|<3|((C4L6z~{Zerb8;7a~SP`6WSR
z#QQzfOJu7NgVGXI>3+|5t$5$;H2cT9pKeIR*mb0gPSrbUd-8&wecH}R%@;WRDnYIb
z<-ArUIhQn-EsBw{4|@M&J`0I|(Kwk67Cv=6B4&mQYW-wEI_U7A3Ox`Zne8!?_Gc07
ze^foYJ~uN{E0AN{lRuZ57Vv`TtA+%(xPGNAzP-IYAqZyBHO&{vy0zf}E0~3<{<(4|
zNB>xDQ&STJ+M$b_+1$%ODS5A&LPV}!Wj=G}%qTQM!K_C~JK^e{hDmc7Ft*nkIZC_D
z5uHc@ZP|*lXkI0+H(=am?Sh!|ojZ2|A-y~;3*EU7|J*#lXn6GtH#38p*h15s1nFph
ze0+TI!)x;pWcki=PfyQl{Iry`G+)&1%X`g9(ki%-Q_Ku!BUh`rpA`^&9dbJtheJ7g
zjb*s%9vE6#S&h*bj1X}sJ~oC>IS58UO)Y3Lf>T<y$h>^f9Kr$^=#3Vezy4`icerrE
znSgB=KX9zetQ*M<kN_UCl~dZ@zl+1Y7@a5}AmAM1;eGX7ssXS-2Y3b9>~&y(-D_xK
z@UCeR_wV0d_SC>VllM<7-|>TXyl!i2`x`x-UvAXa-VS3u(E8KPd|r>&G5C`w3++hO
zr_sX(S7so7xqCmLQ1iEM-{$up!ped56%FyrFD2423-Idp{;+b=`uAth{L*osKf&Ol
z?qBOiet)f=a(Uv|?~lPUcN&=foc!c<@cBO<d(O~F{P~C$KJw4qG>wkd{`ofM<G*kG
ze{?AJ3~BL<G3!QifQM0MaZuiy02hR^!dTpi8TmOiR7dCWae2%*lS1LN=ZAW5zv-Tf
zf3{+fl}w;lz*jww$Q<rD@594cTLpcT+!fe#X6o;-y21|_0{R1tK=55vTbdf*``nZ(
z_$0f|lsA2+2{X9dq``WaiId!UNET9t&DCKkv3@wcCr>u>JN?uW(%i>CrYI;)wYJww
zDib?1GK7AO2>BLZQJUJ-Q5MqtCTgvGNqZzChMDE>>&g<AWAbx9*q*}2<JY5t%5ry-
z)}q=h0zOkvqxfgH>m0I~z0wn1xKh2>Tqy@N-U2h^S^Thm{8|K|_!*+H5(~6K&Pi7J
z)rv07{>G+S#XRHq#(UQ1#isYIcCE8`%V=jlRnc7`CY9T8a{0_p*($(2iQB6wF_j06
zMfo!v>A(O$11|fH;PMuOw!O0C^m-OUS8SGi=^&VgjuR%Rw)Rg6=uFPn<MM)QAJk0b
zu;)wLmb&&pAV0jt51$>X^BW$rmX%XiSC#jp21)J&K9#MKoqaDa3l#VGh)Uig@9Awa
z#_QvcIbt;DPX8(`-Ur_X#$;X)0x|xnQm3-BC&%?Dv8-$Wyi#U!zh6yNwOveEMFK|7
z@Dd$YC~_8Co8LnvDNl?FheYhtZ*$MP^CM*xM5o81(!6ab5*#sm`(IanG&^|R7FWGA
z5H$W){cb>L1o?Y&ioUFm*Fm<s^y-r13Mjabyoj-~b50oz*k0MHP(?yXn}o&BSE+n8
z28tk1Lm<r|VETtOm%nZ@94i#(O0OAqh@iB791}{Qjrl{^R$A|7$+@!CntHiL#-&$c
z+ljMPUHfnrw)_Px>W`3!W~FALwa0ifX3eGqiz)js1~1#(qBHXzRTU)dtrqfvy4`>J
zccnm&V388cZGp3Mku^b1A3A{UELW(iT^OhOLJ$;7pNH-%u0ez6_F9`7>2W*VWxxdg
zn%$*uJk(G%p17La1<^e2mYKS(N1oG|T+^vRJmqJ^Y0-}?sr~5#hjaT@=T|hr4x>te
z4FeWM`HF*wOP5<OZD+_8dRlyas{TMmwc-nhoW7Qa0|nG=!n5cc0M0pJzqOP9{W|yT
z%3Anshsy1t#91Y7iLUKrIrE_BfOC9T^Lupi=|Y0aotM_U#|i1{tZO+iL1h>g8#pkV
z`skJPDzDnak{Dvn>jPC<>HTzI-G@UWzjT_~q2ql56;|CkTvXY2!J<UekMsdn8NJ&W
zduw$uM}e-P#SA`#&n{IgW$CtoO^135)lJVaGg}Ufc><4Kc9&)=#>ve-i0gh{MK2A<
zw(aX~G*f;KugLWauDsO{WW&sSx@xm>*wy>v@J)r>jCM~WJL8zz<=$5iT{*KFdnZEM
z_1JG~hwQrkvlPu`p)7jNNZxdM&_tGDU4g!Xr#<&Op~}8lZsCn|$!bxyJI=u4u4(P5
zAwi%36O-}$dcIe7fz#<JWcG{|(%>XLR#LcqpxcVVpTP@;6b>Pl7@#wdo-TBpf;kXK
zf<xc7IR_}_NsoX4w}ZcX+9o4r!Q!pMU>73@v~?AT9_m^i+ns)P&b8E_x=J!pHD{+4
zLaD#5*j_*WuDq1evYX!jU}MIi$R9x@xg>W}6E*Dip2G6|_3!udQc#*x+J%xVMx|qv
z!gCCuWgC%-?S=d<7kV%xy4FT%tW?&W@Hq{6>mEM{G(SSKn<on)Y)>VewwAx&ee&)6
zfJtJ7imE_6WnAbZbKuX1WE*KkhoP6$oWo&q@l4u#PbFg6ikh^<^iI_1cNWlRc(|Vh
zs%vpsR$WXaH!Jb6f_-B(y|kQXIS^li=@;VY;MX|Pt}Kv|KLsM+ZiS(RU@#cb<o^BJ
zBi!sKU#30CGq$?8a1yrS0pZj18}=L{pOdg2U4?HDyV8~L=42z-$`Fze?_nX&b4XEr
zs%YIa4(9!fHGF(w>I~gG3CR_g?T0+sq7)5ADK1o+)ckuT*}e>_7j!EBlS2#UZh2@x
zSMI@=q52vp)16_LoC~1tOW}TO1YkV+-a9#XJWh9rmM;jJ3nF<$0=8tx$LtgOW#Skz
z!==|h4LuDY?IK0esCzV=d+^-3a~J?G2_U<k^!rz#xsk0iR3?Vd761>j6tn<&ro%g;
z?^1rb+(3W7RZMCsq6!^!?#!7jQDI@<_nx$LlRDR#dfp7Sc127~VDwl_f;cw;PO)nw
zm)FeR-01s4@*r(zC_d`WLS9(OIYi1_>OJr4^s^xwtkU2569gKYH(2{JGUOa!P9CcW
za~D{69ZNCZvU~}2n{Rkv@niId%`PQ)k}9)zeG1S|Zq{&K+$IAjv@lUdGFhjBCFty{
z+t`AS&q%tsO~IFqwk;fSLJOB5zQ~NY$L7(lR-_T+D1gUCZSLKR1#)k=7G}VlY;fhw
z{`V#82M;_8z>!?n7rR_Cq<{uN5Mq5bW#7mIZWXw=SkS(tjCdUC&{F9iu*$9E0voHe
zvp@ln?{I2=u_qx=ELwYDW!DceFnF%?(3^{W^RC@~TZ>)QN}$v!n&$u#A-P!1qp7Gv
zc^+1(zN@QiI@kh0fq7{3j5q|RrAQui$E9~m37$Er(43?sAe^kz1*Dz`3#6E^a1Kj&
zqX}fc2HgrIly_6x1Mc>`Hn`H~XH#6S)#kh1Z^Bq1b2RkJEBx?Cgd_l0)zk=M?lkOo
z(M)te3yZf<Df4$0@aAjO$x}sKAP+OlXXXwY<<HEpeK#HCj{{D0)UX+OKlyo1Epcty
z$FzsY{_2|<@<JRsUerYIsdWK)s^^1t-tbl>GVtn?SoAxz$&R-xG@=|Y606Da1c${k
z38)ww8kYQgXMYs98#?(`T|qQhEKPC73sUKgUi;#-#1E;AZqKU<u(ZD8&;sC3k2@&y
zFR+5K!2^#uRgAwilBY$X{J}^p@^OT3VI5rtvA`wJ?`i6-|6xX+><hF;dj<Ek7_a+f
zn5<$7!DIIg4A#wcb#<!%do(vNh=CPQ!cvSU+cs+(Et)x?&9Z7%;{*k(fie4nc(icA
z$n?gpgum*z7+_H*T7L2z%z7~%k>xun0J84PP(ge`+xTS2W#{MT-}0VW`9wqo9X^J3
z#H=biU@T1P_?1YV55jq?gjin&>7x`TUbah+SV!4aoTuw;IEh7hT|mAS^N7M|QvYn0
z*XY-gJJ3-0gqjIY@}gq*<AJ_~M(e5r`yHv3W3u@{&bN1>L=Gc|n7~IASR^ccTL$S#
z-!eb1@Zo}PW(;JX)895OpU#d5nEYwsosEeid~;132A1Wa@NdRIWWoyLv48-QuK^C|
zYBBy$RZh<2%R_@sx&m;3evf{nWVIMeb5d}*F@9JRLG0-0(7By;FK59XhIsq0atc*@
zci~y!crxWM@0_@0)!xIo1<dLSeps5-e!1nrRUwn@X~Ap^vy60L{o{@hrS~m&?&=#{
zHADg2fpF}Ye%RU@>r2V8O}GeaaB^Hb>8`|I+>*w!LZk-XAJa(AWPh8j%brlS#JzPD
z0mCb*&#sJfBM??S_j1IKsN)um=!(Gc2?+!s!xIHl649l7XF3v;qTF?rFW?-lCu{OP
z1ZjVUMVu(}#x^%MCk%WpOotV~vCSGYL?WX==j*0N{NS8-?<N@W!`zkwDp(B0&&b8a
z<;sQVBC)GidHVhN<$qfgXiyu)<Rc)=!&-lN;d#XhFr?#7f%{LjQ)vXiNdjagz1@7|
zr(}6KZ?%`Lt!=%d%)SLA5lH`?h=8LEzz^3%N}5Pm*X~+DL_|a|o||)>a<?zX7D4>b
z)6y`cj$n~HkAs0jOF)`k-)h$aX?56(%IZ3QCoFQWa+^H#KJ)x{UuyaWHpPl!WW|X7
z)^MqYi;;EAXCh<%$>Hs+qVXD-8bDukqb0lHb#ji5H7NAg%=kLH-oHBv*4SuPSDO~N
z{UbArpykQy*t1sWsli?0IDgi1AfQMvrtut0fho*PhGB~?Kx$$PAfCKasFuS$37TMn
zlXXAY4B}lT4X^@Y7mPh-xPCZp-GjisPOcjv&m2E`SJN$0vZ!n;SuH3~nS&W?AE9uE
z@vrs3ol+D<!=c50bmgjYX;9ByZ#0HgCV78xBuEm-g8?$;Ny}a~&n&0348T%I$(mhX
zX`}i9EQNZ>OAR}xN_t=EK5b^-?KRQxvnK1LA52aP)V@ZZELVW)K$f?TX#`O}1_2a^
z%#h;RTR;A38XIC(ge?=S+?5zHv|<GDJUvJ#HVX_qbP&*uyKiG;Wb~saBQ9<;0c{Q`
zO@T-3{FOnZXabJrg!cs3e<df%0D=f#;tP0b+ABC<(VZ5~Yn=e*RtT4&qEx!KwEXaz
zPqE}&bf*>8?B2a%qF(2}z+Mck<qm!Q`jr{laTB(39iTIYHvbwehPJrG&iH1?)qN=V
z^y$0Alay(BUh}iezZ-uC2O2MuoMQ*P-};_E!0kB-^lO`6Y%RuHv$KW=jd<zU+s`%P
zhlya`X<tGZa6IdWV`%vfklp!Zcz<O5d|8ewk|2^(SXj6kf?wGr;-a-Nke*J!c(ZP0
z#u(9J96HQL8T$@l&+@y?iRn+cW3|8p+e60V%ghZedl1M#`-o&qb8|m90{Z&Rn>cCv
zj@>lLxknHQZ7r?giwmo!S7kHv^OsjBR;9pFIu037jM{ujBZo((0V-D<wzA!vbQbWY
ze?eNzVA+6U8Sr>g^1C^ZDt>=d7k{|hqK4PrH`~l=1W0tDg`7E!Y#MtJUsg}?a0a*y
zDDuM6a`hjcV#_MP<=8*ugTLjef0Gu!2lM|pe>1D?Ne9GQGu3TVT<NRZ08M#@bda&-
zmfQZTLugI_+0QoydVM_+1;HF#oj-<z48&f5cyiJX2g?9X=Xb|J{{mOk6iLf`Ks*LA
z(%O1gV`<FuMyVc<KluOsi<4@gv+_9<Ku&+aFl%ZlW^C1*2RLZ}?+fhq|6?lu%RJSu
z=cKhh(VeI7*G0rT+29GqIxYU|2S0Ar<1s7EBrja<;Fu2u+m-mFY;O-57Etav@}E)x
ztI2dA^*;pLJ6s95>)2=o%Zb(@{UF|iSt@j-qNs4>f!DiDAomXYO}GWCI^C_HhM+E}
zex6aM1S(^xo5&3K$YI0W@buwlv7d2o!WlE15m#}<d<DS?(Y>$lmQ7p;Rpb`qw&jl{
zbfC^ZT-^Mzj8Q|my$vyzXo6JX_{+8H!#9{J<^1#Ty?udEX5{$HkZ|z}37f|HmIGDI
zOKrRVq`Z2#_F=+~>7G!SzXQ%wwyo5v`V{D$)gQKR>j>n!bMpGu&LDBz@o%f19_zTW
z-oSegsJpvYD?fYwZ4RAPB9<4-@~TkT;~3MF1Y+)uS5UUYzKu#B)~$%1$UF2c^xgax
z$jMa19Y;puBpExPRC8{=TBQYEIfsW6m?%6QXx>^c_YV=tXU_e~%7^f-p?|i8SqZjR
zHtEoH;jL#VSZt6>CEM9XbWd@AaA12ejxZUS!JAwri!k}BbU3s)AB3~0*~Gta=nQ!p
z;HGVbjXgci8CO#RD`f!j<f~Rcmjfu>GV~f3^dwj}rcArXrl34JAtAxIOpb=c^Nb5H
z>OE)i!wX2&n60uU3`xwowhB`x=}zq81z=@P`HmB0O$#FiV0vsF_RGU{A4pJ~2Tdf)
zhDp<)FbJK;?tZ{__)KRt_hV7M3r`%W=S_d)QtqQyPzzGKv{rtStdp@x;dS8&>X=*@
zV}?St&0G`%bQI~lJ$=r}dG|+!&(AW1+9#z+jAV7t_`o2S==iYaR6Dy=z#D+@u*#ta
zJzL)&JxNe-pG&ik7<wF0eYYnTSptrHd*3l)&*&P*f!&DY|4>5g@?-!cu&&M8L?CZv
z)JzdtkONrh#EKP*`}b!O%f6c<7$?PP&$8uQ%5e0szoMXiJV41lejt6I)s+|iWhSJa
zMpf0|BxP||Tz`B{s|<28rRE7N@RdiR#>aOx2u10uW~mBr(=IxAHv?#1AwXn;<>k$&
zX?bmME63(|29f1tc%vSmjz~49T@n__aRh>IOWB3<KsG0~zypE%Wyk?QOsP3Z8Bj&r
z;<nPz(f%Gyo?~!rH;0ZS*C0R#xC{U_;RS2h%B@U;dHy2Ag9rWPNSUX7pOg^xbF|I}
zd&E8&u3kuXAPuusHn(}xayq4b)AO%pJ!bYb931-W<cAGWWm!7|Meh~;APG>}G^K0q
zM&Uw?pm{H#!vVBBON;Bu6L&y_>;xpd8t~B1pFf+CNTeDB13?10azuh8AO=e|j}DEh
z<^ciH8B&3+d_0u!Pb~l%Ez84dBe1ZB6l4tj!s#qd;)ICa%rscy>j;W}+iMvP76y`!
zGCTo5RDj~Lw{am!me%zNXs*)Egfq+voWQ;*qug?xZ#hqYsB8YaBJRRQ&S=E3F==*C
z!<R)P#QMHJcKG(?Nysp{GE*1X8RX*l#I)LN7CqOGkr21Sl;!FM0Rk!V9OR^ypIy*^
zT(c>x;Pk5(u{+C4H3mIUK%#KcWTUk?|G9AW3!*nHCAs>p=XusvKWC4NS(1}xrH@Uf
z2U{xptoR`<#K+2&MaA_a_-BP+E6I}a*P(T)pm&HZK=iAsl0V1Hu!i)w1z;)hSWRV1
zYinz1_c<LKYik0Ks8SQQc0S$9vUa+@tO=0<^uf^1&D#E`Y0aJ-XV!uk4=5lQn;UPK
z!}O7T*8=vp(kGvp0*E3pcR>)I?Xh(G7c!6!c8+{CDRKLB<<+6HV@rb<QF|?(P&b>W
z-j*Hv<4<%txZ@W@`4T5rRjT4Q$43Jx2}yF=PtBdLLb3}97)xZ>?pWe^eO`a}M4=;~
zfHZ|?iP605%nU@W{a5H$1;f+G)mRS)c^+U4nHfS&H2uDDY|aAHJzlP2cH_p4!t#o{
zJ><z}K04au<)PAWVCXxMSU%QpK30ZMc5t120p%WmWcbBeRB)+AK(3#!B((dLNkZ8+
zV$Z`nLwanFD@*TTdviWb`SXMdUN_CwUpdta3y6uZ!&~5V0R-<BDIxiFy9ofd;JCk2
z1NmyXH32MdDCh6gXK%l<)N3ODq5^S(DlRdp51cJ!SL=%HpoBe@_t<wn(61OmAVxz=
z0(<8oECM&{`T44*QrFn{2GxG-5AwfhXMhi4u1~MN*Ov8eZvr<>ohW_O$vt$I>Q^vc
z^T0yNYM?kglH-TZ+!l06Px<HH4AW(NoCn+EMGk71#|zyf^?^U;AXysAq;Uzh1KZXZ
z6MP}udu{wloZ#(3N>6RU*tN3|LqJ1q_VKEp2|?@#!#h*1izY2z25sf5mOnQ^o@8R8
zL`Fuon8GwF6=o7;#$40BAa{<|{$JT?`|s=&!dI92#MgJP;^5#Q2YG>oA(TyP7;tk^
zJggEiU=)t@7X6`fvhcqncPoG58;zQdsKo23Bo*_S;5mF<P-I*kNh)B&Te~g}$FX-c
zh_8-L7_nx{6OQ7n``eYrQ{U-%p_|>zQryxlKR!Nc!r}wvf$Y_jK0=XvdD$*lW8~dR
zN+*7nh;znd$Y3qR1zU;xTgeM83(~#OuqRT;BgiAh!$fM3zN%M>9`FZ_RPKgPU`b7z
zByaid^vz;__;M3RWAwduZ1YBI)&Tl7GBewIk7gIJTH4&ZU{mJ!qid+t!C}`QtFOHu
zO7vapNLTWnqG_L6!|cmk&|$0A-oe4apIrEI6=QRAjCGHh^T_7rW+>9W=~3}tNE-V=
z4_jd=T)JRmWmP9ECnpC~B@6)6UX+NqIAN)lamtsF*UVA!+&F@`H);y42kg%tzj}_^
zJ%9EQeon@`{b|1S#apr;jq4xYUgT)4DsDccsm&3@{>4Tz_~OgcC1#QMpRYbyH*g5_
zb&=W7VcgN%av2&WgG}<)CDyvAt~=7Om71JFI(6KV5#3tugS;pcqbf2PkT$)w5x%~@
zS!gv}vNVw?YPxpbm*9yki~&PCKF*!3jT=_VF89*h>@DZb$^4&G)rWjD099RWemN<+
zCjF(uj{fkxE92^`Teg35?wvQX>`2|Vo_LECik5<SI|9h{tq$ga1diO6N=q-rltrL5
zygqKZOY)}hJJUndN-?)(QO{xprD?(|x)vwXz^(3fMX3rPZV*zO^=19Mc3)L<vJuo=
z)rYYAW4n5uhZx6$<^31w^IS%99cu@a_C~i1Rk#7Zc{MHiIyS!XwdnB@zYrtT-gx7T
z&or>2(dg-wK;PAY!(TMeQmv7m^rH}6_<tkQm+M}OP6R`Bs_H_AhKBM|QLAR2shVJO
zf>TgMon&(oGzH}~-<A2FC+L<vux1VyEP#v^XY-c4;#F!y{fJRj-ddZTPKrE=mgRvh
zcMN-VpCQRrCbzzp+5?XleIMV1HA($!q#`WpvJyjrwknXEbIsOw6ZZLQo`}$*gW@|t
z!p9Hub_N9&)=mF#EECA5y!#*~Bt#U0lq2nFv{}&ump|$D6FC_dF*P+R7;;`IN?M;x
z==$`a+9?7kQ&SY8;a35<=|XY~+wRRMDBja!^nLn|V)%7GqK(v5M7_6kkefy0U)ve!
zQiGn>e$T!JZyx$@bxWV)Q`lM_3N3MoLBAZ~#`gCs{0drCKuv<+=~w4dQPyXe8H$or
z5MCLy@{7IH#sP<vXbDG7BTLIPndVV2L>0BRSM5%Wibn%ky84Y9UsRft;sokSAGacd
zme+;>#KhU0^b$V|Gv6V_qyO{7-LD7`PIOg0xAC*>dE8+t*bj%_-SJL{iL!wT6(vOH
z4(bqx-}kBvUVQyipLwrKg`M$Wqn9G>#krtP!p4I8g;a=>B-pBQ(6c!fBYIAyoq<aH
z<`JaFm+pol)%e7FEAA1zDYjE`QLPB!5y`ctWevD84Hmz1*v?V$X>V_@JbUJhf4ezZ
z8xjq84UOkt-pRrVS2rieWKAC1*{KZqS<+a8SWWOahx<pOFE?<)`yY<&ljgY1u0A^B
znY&p(EChg}n|_sUOaKjb0CYzjIu-CK=Yg^>=q9j!3*-AvMYo(ULjcTpj4bl$@Xv{b
zm111|k5e`14|RY%OnIMsxUpg8GP&SuHbN@1*z59jhWTpXsNZJjh<Ya;_j!M4UaK!9
zYu}=*)?<}K;GTBQ{`GQ6H4oM2mY6CvxKTrYRqwvAqy`ur;oN4CTIJ`4sSZsHZJ@e3
ztBOR+f6Z>%ufU<Dr8NgIes9qzZ9fZLQ424KNSwziP>-iC;o`oT4O9!w05uw_4iVL+
zJ?&5ZiYjjOj1`+Y-83^B8X?!%12g>>ve1)<$OPEMtBMw&ZpsQjyc8)Z3h?dx$f#1h
zp0I>O(L$60J&@{J{D-`w!s*FpnhaVIP%yJJpOxnszY-B;dHz+<q(eB1-zWZGGR+zX
z3URN;s99hsPg~!tZd>1>fbi4O%yVYHm+|qKD{1#oyT+VW^c5VnWF+cian-D3#uH*v
z=6#jNB}jDapPCL~0FS}Sqq*Z{O8@UQ9Sf8H?<%P0m8V)hc;%|<)vlt*d2dQLGyB?n
zm1pcsj317h6zgur^67PRi!8_V9H6(}<OaH;j+=KErIm&l+Tw#7>W3?~Nj30nH{5U@
zq2TcAcV-eik-2kqy>l>Q=r3N<lGwHy-@LaqJRq+8d5D>sIiIez$HMRmwLk7UJ#e?(
zPe67B)Q(ITw9DA9acB5?6{#Gs^<StRd4#9pFuUI1AwXJ5A6SgxhZOZS7t$8cTDsDe
z^(;1%3)=sUgxS;0+*HJwTIr?>-l(D8X1DQGJ56q#SHBB&fYAzAx_y7;rFA;q%LRyw
z#gA)e<1FoM21=2*;b<4>vm477A#RaFqG_^sGr%i4ipg05zY16;PF<V;blv$otU$kL
zis*_J5ncnOFA6O3n~ZRx(yOWXKZJ}-Ll3$ZbA5i6nqccT5tTag)b^|r|MKg`SfSj-
zs6&15hQL5lSk91(v;F`LJHI<YtCVSI`Mw8tsSnidNEHaEI=$Q1Z;`0obE=;Fb1Ekk
zP8j#8?=6de;W{#8c(dnvmV1KLE^4u;j!(Nw*u2tRZ)93}Q_6*;fGAp}mF09xSG97{
z?)i7QTfq#hZslhCfU#SR-yuzL7s_VF%(K%`i%NJ(Zy-G*pN8$Fzt+~+BJVg)lj{fj
zVZaSQ^YX?t+HC7xdl<<gXlOlf#iiOn*>hcGETHbCQTV9%!cHi!n#w>uS>58c&iAc5
z7gCkig(3R9%fDzC54K;I)9&=|QlbC9S55f?Wy%I8fh0$uU`2hP9q^z<=5j!Zt3!Y8
zgY%l0ujWctJ&ec<FDnwZ>CJhQN^c}B(3ay5`^*s)Xm5eBa{!rLA3YqExFrYC0K{c)
zMOD$QW59yq9?$8rIUk9#LVaepf-VAvTp#3X+SN;BX&W9SBmsFRU-e^+MuGklN@9(U
z<Qb=+-Hb*C@eXM%o_TX(!O+g*EQfGZQtHM8g`M&3c1J$VV1ecHAmHh-BBJkIBvqXa
zw`u)Ur4Xp+F38Vkwtxk}3RH9rE6|MsV=+2{<AB^fJ!}o@N>iX$!C4S}3GL<O<@Dgr
zxUJOZ&!20L?1+ho{M0soTu>MK?7Xu8Pyz+Cs%dAnj3_^$)E`$eg=h8sQwMb{8lIz8
zvXW#$7zv=2eNg=!zGh57%<kn$7WKDCP^Y*@`11Ar$P{e-Q%ckuaH|#;{n+p6pVGQ{
z41i@4;^XUhS;KV^(SZCoI_E+a1~lQU?J7<1PiF{G)30~47Bcy4P_h}Q0n{|iKok1}
zkGubiGWUgK`JUmp5w56Dq~*6?3O9Q~*%{JE#H{d);@$6=4!Ga^+9+YY08goG%BSv)
zMatDQ%ba1s9nPVmFZeY-7p5mhv~8(a#H~kR+>KT`0<2&^y5<Kfx#~70I1>Wg+4TR=
zcVjfTNM?U^drnrZuD}xkB=-@L-dcuI$!QOajdv=*7KVm~fSO-~-13IR0o4f+ve^d_
z=(7Nu0_)!~fhZJV_ZJ%y0Kr54hdClua_(Snlh{&&u$~Xpcgachr*S!nCUVROe{D)E
zF@I>M;YpD*!fPjGMU8?g*p9=H{mL`W$Do<Q7y`F*Y9pSapvyo&tasHRXb(mCN&s9I
zhDs~UfeDOv)JD|Q%hrwu`9~GUl^n3tD?C~c0IE%>pCYXW37(5_8Jp|m>)sh^@|$5f
zArZV|D!=#=K+&#OEoWRi<bd8pzKxGB|Kv$-ix(BTUW5;DUFiAnz&XqeqLxsmX=u<R
z%2*ZlAGGrlg#Gi3g!{ca$MoUR0f&)cg92hJ*C9$P=O1iGN8{X>^Z`Z|n?2U%-37B~
zSMoa)5@eJ2*1DL5on2yLc#Oq9LzHbK^Txi>|GqsgM<ZM>POFv_&&9E1@KP5>Bgp2_
zK`JTo#z=7vF4KODiiNDg*R_KMim97kWPH(zHSoj^q{OiOv7i9&`-H`|VIL}M{l#C)
z2c*eqysiZ-cnyf+C`akLs;a8O&Pjd&fV;CqK!Ig4cCgha8*Z$rSiSAVj315zU)MpY
z24sVQ$+do3kp8fsE>~$T<QB{s>^12ddc-7=PkK3jwl@qlRATq_dBG3&;hl11QC4&X
zlvd;NFMuZt(s=rMvu01M+2MW#kt=r6LISe1G^J25((ZLvqwvkQ`t{OA29>^Y6I%2H
zUg4)jeFV&4K@TJDU5@p6w;~Dc7@W&q8sT2TtjfX)z`9SyF8s^2`(p|yS`~m3wBv7D
z6#$~t-sGY;1vXtXZ5cW~cI{?6HTOC6qj>%Nx9Kn$O$W^$IlZ@s8zXlfT*pS3JrK&+
zi|r@i{LQ^Rr%q>=S&3k$(^>eZ9~ANAJf6;|c+t_Y`_5Kc4&_sVTa!mr9BCajmF>zY
zgt(|J<d+U-_`I+2Gn`eU7VNsBR7;<(H<&}T1mot2^`d*tY+cHAU<KQbd=ZF?u9f=Q
zTgPuNUZFlIy87j_mwSJ&k5=*h%9Loc3Y07O4d-p_|EN)sAT_A`=w;xft}0pkOuhhA
z+Jz>^P<VGre0VmXwdSZ!4GK$G2D;NUTXWRkEMsX-JZV5p`fQcUOw@U6c|ls0`P>7E
z3zMcUdZXNZ(MkuO&WqQV%l3P2N!8%wry~S@EBBjpYeNpGbZA8N{T{M*qIf|0iYrv7
z!CVyPjIP^APELO1C?m3vMShp?uNETwhs_Pw+}*558vj%xT#m{5{@r!Vtx(xcb3ady
z+Tk#Fn}Ic{cYp9+IA0+tw?ah94cNQkCJEtl8qXwWkn{A?y~?m|_^Y$_4x+JJTXP8R
zj=Fj=)!9jt!+^F*T<3UiP~Z31;VM`q*WHM^uB7NgC28*&)&&&R_~F#d+HJQI0Z98{
zv0=8qTS}C|!i={0A;0&&oC>$1%hWQ^m(m)TxL5>Ei1UzTlsn?5U2eSwp1{2&T{s+w
zyL?Bg6tm*Mfaz*)n?qzJaxCu85R2ZMe3zjWOn?>LYIT0?uu%2}jdMG5K&=yj`ceOm
z?Y&?*QBj!n=E>2K{<7><jk2RP%}MHrX>M+A3+u)T3#CtGWgd0tI^%nD|5^n^SHfTO
z0z3|Dym~rH^;P=dILvY(S;?P(qOK#_y4prJw^7E|DTK+A16=zWY#-OT=I+^newE_h
zbK+#tZmM|lrh?r*1&RJElmUXg99bNlrhz1kl-xn?l(n!!D7aEwtK{9;Ao4S&g#`Eu
zp|*^EcpLQ-OuSZILpQB^@>d>D6W->R=!%N*1QAH#lIoZXBUJW!(L{P5!4<X=GnWlh
za{B_L?STOAQHc}>YA%MlfGU{%{Bmz@XrXnj&qfUrD5v*W0;<vAf8V}r6St-5AQZ0&
zK13~Hd>L1VypQI3Z?#*H7vIv8ls~Vmxp0Xt41cFOtaVM#<hFgI2I)QUR!olv-8k2X
z{l2LA{`=ffGZ}Oqy<^suh!KD3<I~L25#PVR6Fd33y=wAYABri8U*&F3{GBtJN9kUA
z#Ha)>Yd?27u>kJZ?%$)h=4JLS)a4nCE#S!8m?DdSwQ8brB?hUNp-NI9UAI#7B=Xv<
z`ma_Cp_CDnxzUImwlRu1BrI}e<?P<g$yCaU+UWQepOKKRzjO2Mtvr(;4j<U|EpO`5
zx7V-5&fP`q6l+K~)VK##Z@#zss55%}n(G)-_z~jRXD~U`omJ^w)?FDfXXl*MH4IVI
zD7U$;q}OJRe57IDvheio-Ai}pZSgm-1{2jaYx_Hr1xqF*(uMsV?1**HlM`Q_WbrqI
zI;ZXgd{C*sRXu%bIf;wZv$Y7(Pf%jL;pgr?+ZVpN^Mm-;djpk?FP%!OJu7kdhbu0$
zIS)gfoe;Dubn-Rj)-o=To>fm9JX+)@9aw!oZ#iy%^gFN5E>xo4wcc|!3JMlJbMlZm
zzByPjeWIYCKt;K^>ip+*%u?afPPjS(L0<GwWO;V^neV{nr5BBFq=VrrxTI>!)tUy%
zkkbxV@Z#d4Rfxy&$?}CbrgK*v+aF7j!cIlmojO5?(^Fgs39&A%LsYM#bM}&8Yc+P`
zvdZJ54Bh+diyB`3nTvZ}L|Iw6BADp61trzNtzptbjR`!zmqO+^y>gx11<w|IXOKTL
z!OwQ*qmgP2sgI9G5&NhyFZMNGk+bS@;d$Bgx2(3kw)$#SC6~`$Zg?VA5Pf*M%WAhF
zi*Iy0o(K=ZMNOmpupgX9U+TN;5_fLe9!yRfsxACols$M@hV>kNsb6Rz54$-#P+v_g
zyX$l8g3}^3wJ)6BM2$r3?v9Z#3+F0>atD=Mn(6Ir=MBGzf}4?tjHCs~cV06{;CU5S
zo8-l;R^{I&RqU_E*U03rzxw#sM3oKok&WT8rNju(p1&>S?3(IIp<7Glw{Zf($?oE=
zJM<_=y<a~C?ou`T(yiqZWMnu=Z@rm=npH)8s_!hQm$vIDo;U(ZyXMf9wg7Bv8kq{e
zlWDMf|9HrKk@yu@ZAwZ?R*1V{PG5$H5$mI+_4iGo-|irEY7aw$tVo#-7Mt!wwS%9d
zg+vE^PSRe~jCjL^{%P~5RCCWJu_cScB@3MMZfj)*A|Nv4)j}WtHd&{xxG37jP9)ii
zyQixp9t=T(AzZD^%TO=?z~e&PgA?sLQ?`j2!`EeGW^Nr%JOV86QF%C_mJ{UZ>DdpQ
zWW#!ihh7;AY#3DX<1Q*Jbg?{cYa6lg{?40oDr2tx%@Le9`j<B|ua!;@0{Brhgx@gd
ze!cxM7`Z}YyD9<2Q#Cyle&6KK(O*RQ*f)=fek&0pQB}+m+FfD<w%BP^wAW*81V3ol
zf}oO&W6jUL3$T1mWJ@>LYosbYCT<FzN>>o2bsAZg&QU7u1C3atKYq!-7>mUYn7w}R
z;DL!Vp|)D^#WTZ910RvN)|mELMLqbHGbe?9w7mUpDNa&&S6yAbx0D`zzFpGtr2of{
zAMGde%}Vk4z-FUI4~;A=MsN&>ATCutL?c>5bteommSE{9?~^UT){=xUdEkWI4}LNL
z8rUMGY<j0Y8{ezZt$KECx--qPI#AtC;MaH}@1KKuGQfduoqMMS=?e=BI{;cBoV_W}
zSjGFDUZ2jSqM~B84xm6={A#cj6+0IvrtXV)HorbAT9Hei+G$_U0X+cL86N0dXM@F~
z2u8s7F86;KP5XU&bg^xI*94&IL`pNb-Ed7<3${1#a&&U?KR#cO;bIB+<^G0#`V|Y>
zD1jk8gV&86*0uip=aT~<3jMy#U19dxKObeZk|%!K0up_%?P$^O6Tp#%f<6Mj1{?h3
zt<;y_;|_*oy**+5`&$Ut2c7?V>nnEuzV-iS2SlWeH~81AXBpdhItlT$^M<|iJ=k>%
zzX-9j{XMVf8;X<wzLS?uw*lVq{(~>n%KTAV%^q2YR{#Y0b?yJ8HRQe@rF+{Bh`KHM
zDKZObr@js~=u8N_yM)38A%I*?-^<y?#s*~$?D|e_@Re*%Zg6iX>RH$_DXLk;c#cI%
z(!7#nGrXBYpDqI=-fmwy;58r{*J|f;H0GaL0G<;EC*-fBcB)z<Q{Vo!>M|?tIB6eX
zQ$WqyOluq;+oh`@0-es$oulG9*}eLG0|W34Y+rx>ht!mm63J$pW{zk^K@gcf5!ga0
zB%R!mF%}_NU~om*^2!;P@z1u6tPO||6dsQcEQ5^z>9Wa@`d5<HE^dDonPE_5_0hF7
z1^16=!<>3h%@L-}y#oTU`B(=&_&HMwh2uMOvkJ3xJyi~_dS3plsnwM;JHUhFocelZ
z!lL2K1j9uStYEqxiV5uixaIP*qQ+$or9=G<CXXV<7gN-&YrIyPKs9Sv^4UgL+@Hl<
zp${#*ee2Ghrt`tA>awYw*z<n_iNLWdAU66<0I%A>Xrub{=~K*+izpoGv&TYDISBA2
z+`&vz$sP9^?j`Hk8_TBFmG&A0v5lGoC(nB<M>l-%9uFYNAd#mYOC<+9ib#BUihz0e
z<#~lI#`(|ek7P<-53K|O0?+!1V1HHWiHkd)oj`I<;!pm7aMy6Fj63e1v#Z!^Vsq)m
z@ooa)!bQl1@Kfi)P8GU1Iav;^amW5~JI$ugD?fag)on`D_pFRDXCoXvb+an7Chq0U
z$&9J?X-pdCto%oJg)olk9}OP?K#FDV?(5t7!7)vcY-ZX=u>Bc_KHL0w$HAH^8z~^T
z<^tP1-#m(-9$yBHp17I>l<`nK#q&<xOuFa4r|Hf6v3KG8qX-bAmns2|-=P3imN?n#
z*VEZ7<69r^Fo?gFw7w4vL=rG@9uwr3H*HsGN^$&8!9)q0KrsuUw3afmxm)Hw9A^w5
zHi6ZkX>36|PN`_r_PD8qW5J;5-_XUx0RDck;Y-m33Alte&vUhzk;ZStj4g-e<HZXs
za3_mEf&<xqQLAz7gFnL0sv{e~An!y@6`5j3f4cC0gRY28A80>)>~jlKLMfSTX9}p~
zF}k2S`GVa(QRz6O5tc9DlMQ-tDn(R8#3fo1`=Pg*J%rt)(9(AVSYXt^rq^dznkxDw
z?>>r1ty%gE{GfnJVtXClJKU~4q0Yd_$o<;-n2z8k%S7_2uX_O6a{vLl%>YO{@v51d
z$|=BFx=vj3=NjZSH8wNz{qprC(*X0F;H~3IO&s3b9pxhhr~VdpH#Ia7K9YmY>v!bV
zeA(^I@67%M#mWCBNcL{T{p09^Sjo%ibzGAs@;zTUwM=(c2nxIO!laEi6g?^T@pLUO
zWSC=G=+^PdGbdlt)2w|Sh=+#kf;#e7)Ai(DoQg_T_WdaoT;z=vd|@zVg%T4J<6X0L
zA8>zjULx?QeD%@>0G61a-GsrG3PAu)p<aO2g46Z*s$Iq~4ubj_mgB(88UUM(S6NtC
zEVf4yZ)QG&9k*>%FB&PF9T63EOZ}Lj#C*1C_jFTApGeWUsTtj3g9oefN8{0M9-F1N
z?M^Y}ydM3?3wXxUnFgke@-+cRzn}fdF4uIkk}8OoJ!k0Lu<sV0`R$|Wpm2%>&tJo@
zxPueiS|pL*I8fr=%*e2DQ|)!t^RG+Qfzg)&I<W-oTW2-^9U59#Sg=DaSuE8hzi{95
z`6wUiU4LPJw0iev=HWL36B9Y%#CFQ*-NEev8|qJBHboyrn1r1YuU*9~Wq^{@f)0uJ
zd^7h}APZAF>hJK5wAba0-IS)UvqzBJ#vn$UlB5Kz#Z!wxg=H^oN5}7pN~~XsBh?gS
z{sFrBMRk-qK2reP9xYz&c9m#;(()Ft;zyrMtF;?X2JJ~6;UO*AENka}b^tPs8Kalm
zl{j*@)oj$QSI{Ez-o~Xzd&s|lh%gq^p5uTuSd|AqvEVks@y%`S)t|Fb9qI1=+z+p{
z0ZO|x-bj$pyWE32J3CQSC)A)7ik4_dz*qE{|2ug`SClL*&!Asrxx_PqQvHKOB6S;+
zCkhz6ju8f1Dmt$M$mrOF>%(YZMe8j11@@pJ<TEy^km87*Z?D+-j>&?A&YZtH0+fI4
zo>3QxZ`-*ZsH@xgqd_6({$kyh)kooGj(`r0-yXv-S}T1*m!1kzKH_u)57H+UI~!ek
z!2|+gPLaOKc3)kv0pK}P<lux$mtHKrcE%3>z-DG%;=5UO=H2`EQ_a9{4|IY)<>loS
z78Fq2j!$w-YyhBm?8itI0G+3A9%q6^oEI}Mn=dD4NJ5)8)iVvQbS%ru0ySt_6Mx?q
z=`S+-^2c>Ge*}=1Q3FeZeh5W-5Do!;ti=A-ag*><dRjn?0zB|dpzI!NaAlN@=g8Hf
z+}wR@A`CF9!q<`n5RdhhGZ}4<r6d#EonK1^o*o2tUg^D$=Bx%r*j?S--F<UFiBBQ{
zT6Jbu2N;SA+uPeY<*)&3W~Zkx7}@Lu-0F8Hdb~cqJwYf98EP6x1d-|3gI(3_Bt|OE
z0U?A4bc8ODX+~4)+5xM)Gw?$ULf1Xa4sw9OP=n#~y<eW{qH|&V*<jQV52Tq02|#u&
zCNSg!8RzjT`FO4L;zv!d3yed$>`QGTBm)&+JcAh-_1aH}NjB31TRV21LRL-x=|j%@
z7Xj%Oqd}*3QKxs5u5xj62eBPsmo}U#$c7l8>&GTirewQ|FTAgEv|yW>YI;+|P<X*{
z{P*P}A#AZTcLM2ai#m!OJvcW}>4ses0q(BUrPDjYzoHg;#U^D2vSz4vw{P&;oSG5<
zXH_jmD-%BJ{|;(TKB?Y7mhSsj({nae%p&GVFc1KhDG=9s_Y>sbfTCw-tpz+QHZHA0
z$>x|YRn~rJfeokUgjK02@mm8Bdz``gi1<}o)SszEUwA7ujir<4sA4f?^k;DtwWa=Z
zL{Cd0l+@nP)R5kAJ|t3|f87)L7_OiCJ1RC;u*LRSQXa?=#f3A-ej7^=u)?Q)@Lu*v
zaCFSoivIq?CRqKwgMCU<krJHf<!;55M1OGFhii~|l+FJ{(vOxpk4SHkbyS0jI@2>>
z31{ykSdcP<480uP+R`L}L7MPz)%n_*Er|7E&W9QfpF;UA_9j<icYw9qHR$%v(89G3
z9PNC;CL!AmYa!8e?0(fQS5S4%AKyy*NL<W`{E>P3`_{CgwxT9LNlk~`Vw=oi>0hCF
z2x8A!I^(xW%n+o^LC=<@d-=3w3YZR)A~q1Lh^Y!VDo^*_Tk-s$l+7JE8*kmNPLK;2
zV&LVa=}JDcuHW!nbya|6nNInr&a&-6mow>V1@HL6!HK37)`@g5q$x8(E(xFy5xZW<
z83z-@*-8?95M30s9l_OMS{L92vZrq!{26deKBp?6d~j~nrI5GH0iG&s_ndUHEv+B{
zNPTmq*>a%fc5mLmBTk)lejsTkcMA!AWffu(f<h`o4v$=8m1o(tnedrtY=~C0+B^>F
zSs#aFfa?<;-*wXWx|rOl$XWFUJmkyPdbO*yL80M61DmG(5TRS!1_25>QYe_rOP0I1
z)3akdQ3KX*u0MJ|7JM=2SS^d`{R6+x(=0m#hW!hM%bO?P(fPauzv70R#+7PfHG&uq
zj(%G57<<^f*csCBb83kjvbwi1#lc9gCeiFF1bH6d%tm3JE3NE&`%_I~TVPrHw+$`k
zv+gpl@9DLeYo30GK!OS4AIM;fmX5ZYd{F;Hpqq@(u6FOW7Mg^t#ehkH#}1AR79^_T
zt~77us5UP<A_Q8esl0CBSr&UbHjogqBZAU<v4wlFZkwcX)KSF6>Ux}VhUa6~eA1Dc
z7;u&n_jl8}J=D~p?8IAf$`~WhG3DdS+CLA|e%w;KwYSVtV~GDJs|?f50G}96hrJ=!
z4VEZ>QP-jC62TsFSO}^s!7e7-)-bJqRNX)D=OdDPcWyki-Pl%RDT$t}s?41K6vEWX
zJUscC`&#Ml{<H_`s*6|#y?i>l*~L4ITq+0tCqtFt8dXQeEa?$7mb^J0Q#CyNDC!a`
zms_U~LE+myE&{C){fAZQt4m8>yLPTN(%(0<0^pQ;C;E=4O>f_6Rg_5ZdRjb2xW$t#
z6z<^{U?Z`jIB=3s6fWCH8R9;@)c(gE$oP~cx~Ds!S!Kt|;n@S+ugUil1Fozpojde{
zN>Ij>f{WMIrVrwpC|zLKL(j@26ZmxeK4HIv8}ce_Z2w2a(&eWgN*r9N;JQS=`Lr`Z
z{9_UovZJWFOPpOdgkm1oc?<0YE4M7&iT@q!&>{2UIc8evn~&M|eRbjbEo@*$eD4&D
zqB1_<^8s5)I6A=wZXF|sY(kK@BBVc?(&~p0G{f4n1x-^nbQFAka`#!#PS|7l)3r6A
zafYtt$pg41wip&>>-6V=u4P<VwK?*!w;ufz&frGL3`j%W8?C>MYi%YpBi{FJf2gV?
zEVJ<#_y@=o;W$<c$DaA+R*i>)&Bl!0SGtdlI)q(+Z)>>7RT~~x`<IG<_a$M|1DT@p
z3c%W;nPkOF4+)~87SHl+sut7R9?31$(j7_@rR2trO&elqMdihSwvw_Qu60a!3+`Hu
z1<XA(-I`SKaP%JVX8hXrn~2@>%9O|Zo&pf(H`NV&Qyjub_^5CLKX^PX^-6D>+i$z)
zGO`v~Wt;!d$)sMfyRY#!@X=!%@zu%Q!&=p3w=WmT;!SniM3tkaHlu5IaMkri@s9Zf
zWu{Rhe~K<fqTb+yfA+552^Ar<Mwwxt0q)4h*jiUcI&H{P*te+)x?Pplx0_0ur?C!+
z&-{N6TaFU1v?-O<M_PsWO;rck=qL9KnBkB`J)$TCpPGB@oMaj2$8@nHhkWbD9){~d
z)0y){0s}<XTP{Ux*oJw*DFJM2^lnX?1IVjh=U$I6PXuY&U!@i%nv#`_ZMsBO^)Cx^
zD`gp7WsK1=4q%7ug#~fVaM+o&9bF^8CYOdJSPz%e5zpAv*C%@Y9son(QKo!x>>(3`
zcf{-6S@}w%n#7RMH!IPXAun8}wogP9fTeGpj|Jb<o)w-jowz&^uLq^DCh16Jy0PBM
zOIPYcEUh61Po^3B2Z*%B9lo5}IRg;E{*oCPTi*FtWp!k?3;o>LmbJfUZLN#`I`Bdw
z_~L;;7=Uo4J}fFY9VE6oZv1uQkI}B4(Zq*hjyqn4IDLfJ7kH)T>|br|_%YPL780&`
zI)WR5j8bD%1ufsiF=encL&2q1^~MpIk&p4KYG<GlclLraM@Q5NjY|;w?}w*MEou`5
zCvHBp@zY;r^~lFs+SH<`AQvIXY4{Nr230*N*j^Xij>7x<Z$B4B$yH{bT~J)wb-rbH
zq9yT{3HHoyO;6#|+h1G2e|p$J%S&||OkP{qoCHU&Q8W3RYZmouRm`-Je;-8K^1!c<
zWMfF{MPNH2Keuy5i3S{Pv@oKW&kso>Js?-+83ycxJrH(S_v)h`s^N1c&AUbZwsY{4
zU>Yu{pE^VYY;kKE7cTk#KaU7QSl$=~pKY+U+GlIH@n6_`&#0!lwriB4SOGgo)tew9
z0wU6zf+7I~1*8`-0@6F7g@7nL+%yT&n@RvF37yc3NDvTEke1M^^xh#kD}wj;JZHRT
zjQ5;z{(R$m^TUCV?CibvT5Dg|yyi7$t;X<a6oD1-DCKaSK-S;C6LIgMb@m&I%y|tL
zggy#?7`#i{dwax-1;M2CZ|@Rzr?#VFpkA2%Nv4Jf!=>=$oZ_!uTsws9?r0k+uKe7s
zc_(!y)Hp4%jyQ5}xD|3Lll|n}gOz)TbM92`p3L||Bm^yF0X7EqWPZDYNrXb1KAt&8
z|K~rpU;YgU^ymGtw5ryV)K$OiC!W1{?a!OAbdhfnoR9Uq5!#H6$3Fk_3Hr~^&Q(tR
zKv)JQhaEngPyuz|cXDjQjt7ef+HuPPk2xH_|9~37qTl57+ph05KKz=WP)Z<m)aO>n
z{9zUVO?p>&-+$ujpW#1#qxp{ANhR8{+o6KL505@O{>j8-72mAo4(cPnZfIQ?<&SgL
zj*?=?<e5-j;?V9NGD$z2v3FjfHRqqcO*UK*FX@O5n_##%)A|^k>Vgx(%#rN;K7-Nc
zr~}ol>@C;&Gx&pPg+dG2UI*c^hfF4M-5n`SV<__a@MsWARaWI!o6k!Oug~)(g-v;t
zUZWAD-K2t3zquN6aB>hRi~zoXJTNiKr)0inEb;nJb_3nlYJSj-P2WZRb019K&Qw5a
z_PLhG%DpLv*PF>iiBvWE1OEiF5a`T3Fh(^u7cyf01g}sHM#`jQ$UCv6^(R_IQD$0j
z4u+P2j&#I^4toW<bqEck0w@PCq3fvS^i%npIA2>;t9WI@Vc-pS$i0Kxz%so-Ez9uj
z=*CgwqYE^bX!VAh?64jz?zFd}UO1&4c_&)uMg6#MqW4DwM(m%*vbOhyttT<CF+cc4
zoIPy?t#x@(=Cj%U1g(xEix(lnfAD2nTSjB`1s}F8ktL1g*{0gFwShQ<E=w!80F0oi
z$-xP9Y)qm@Ni}|pa0whoX<8|CUmI+RpB@_+R9wMtjTpyQawW8qGH2^{c6NROK5g5P
zwqT*QBgwQrQEC}Ao&&Bum|1KpB~AO6kdH9l{p8XS2R#6Fl~k0(sZJ`Pj?OSNn-_*N
z&S4LR`OZmI{)NSx))xp^bTfNxiT3pi9gub9@`2|eA7({BQa23{dYh2t7$N+a--%jM
zE%&xJsY&%(p+%4NBv2jsZ{viP6<u2WCihV$r~sR9t;6%TeD=23Sy))QH#6ozTHj88
zHSuJQz=e~}0FGI4x3!%|GmkO(A}Koo&GSZ)X_uXTW|${H0Zg)Ua|Nlg0ZvIl2(xl?
z$<SqHD(fC>74x&r0eH>FcbnG_m&b(YuqUeFrzq7azad&UH6u;y#HmNAT@G!-NmOiV
zD}D$uXvD9edhtQuqN1V;J9bg;%#U9+q<#yO2XzZxG{NrL*x2;HZ8aC9BAsS?+w{WR
zwQOzC&p?XD$xn{vJb)w@EZL6%L{U}<-y(l}Q7`Y=J>pxt!^y^_cSMcbqhmLDlyt0?
z9dcsGtTv(fQj%iYh|<ym&ECmgrIma8{7r$YcBmown@8MO0~`YzC|DwGI+d6pP+zc(
z={&oovFw_jTP=V5?E9)JnOf_nu{T#=XM_AyC;HZ5d=sjAbhxM1z!zF;TH9CK3W<bp
z9vL()`E_UJon)Pt_|j<yb3t3RW65;p(e889K|-XzBAY5>n_hHV+>T=fs2Ayj?kQZh
z81?HjcE7MG05MWuo^Ui$8#u|PX<|Yqc(K8xS$gjPDZ&_PfIi8x!1|@|?saeNl@2Cs
zYOCU~&oC22-M=Q+eGl1uDMB#`1jQIS(%k~xzQ|e+2=@um3+?KEZO_-keQA9Yd<USi
zUnjnM;OB#`zCPcBHS*d9;BlBCD7~Lz=aD}y{I?+IG&a&ja$i2=>~L*cBauL;20AOt
zePAZ8`elRh9;|&Jgb$vXojpZSNM!J?(d~q5^4ia(C)i2Sy2E&P+2$9Ju14!W8#((^
z`yH=44w>5TRwT%hmVKh2KbAb-BUZ7XM+OR#w_E&LHl=&%3CR?|@{&@nmE~Xt<rBT=
z8Jy2#dV)Tv1PteIbSEXZ<J4v=(gF-zZ;T7nOs9_l@bVlIyj}3KcCf28k%)8J6H2L=
zzBU`<c23@X`}KLX()51Emv>3IAecn&Swfu^39?bQ>%1=A3Ps<nC;DQ^XNK--+}U}I
z`m#t=N>3rbe=W4e8>K8mK{K+jSdz1XLOs5`yu2Cokt)DKh5+V?DJWQh*G61mQayE5
ztC2ZK$Zi2!17ML2LxE$^%Yi)<tmqB6P5yq1=C|YQsoGzkX=^txl%xIh=~F44ZaFB(
z&H7QWP_^SDoe=1v8EA!Lx@lPI(0XNYd5?Ka>X`HV#tm)tD`JSBT6BF2Z(LYjk?A;2
zq-XHOo#~ihP^d+}y|y*={QjpSZrRK_3%9iH$j+yPMm%qHIm%mekxTyRaZ(xcJ@B{9
z9V_CE>?U5Mxywa)cdA=;Qsr~sr;DvcGEKmSHy<nSBWl0{m$Ig9qvoI)Y!_8q5)~Eo
z!L0TG)DTl^1QZA4>_DRzGE|6UbS+W>6gaSS#wv3GXR<10a{-5aOs0PZ_xk?}FiP5Z
z@_Xu9?m9?9CBAdl!XWA;58s~@KeFYRKd>G<{8SFyCgPL5?K+>LeQQT@$+<8&2nD9g
z&de;k@p@^3dCaud%J<A?;fBkVyRLAf5XY&}mcSihH2}S$K>=1}7}jHg+;1tgXvh9b
z$oR5+DTRUHMe_{wM5GuLnzwR;VhHIB6dFuz2>>Z2P{?@gXN;3!CHHGa!o7#X{3(+Q
zBegjAQ~PNYWoAarx9-+-#1G~7J04GevOSs^nJ%jhz)V3LPG>NhxCB60P?1;fU9J`j
z7)}l1sx@(9wUE|%xgPQ9>@)cXR`t`<?7ORE0b5$69q~?~Ov)zs!|>7xO_Jw*=1r%v
zF=i-%NHl0+_b<6kU;43h{RMy15#@thwdL2HQXbE)p67!5q}K<EJn|tCS~Kf`?cftS
z8J(8C=lxnLjL*x9SL*t2c9TLPS|+Mb^{2F&=Td*dVh1lO1)f=$ds#@Sq^MqVwm&|i
zOBXRLvppV}!tzUmSP?U;79Ss87DPc(_I=h;yFPrVJF<A(!DdXo<7&zV)bA|dDH!ZV
zeY4C4qcZ&6I+tAxQ(%@sxndI&&*_ni7Rl2?nq0MxHKYf8nXiO{6n(uv<dF=V2glk&
z&W`rZ`pC-MS6vFDVl4jhkhK0&*yLA5nwGX4H?O^945Y_J9NO0|QmZ_yQ!DR@lr$#D
zXT3&XZY*prJS2uSV71o?R;)ML&@znR`Fpo<Ip{o(tg?pO*6Y#FFAYG^J%vUoO{1?G
z|0y$5f<>GsO1X+@=Vs>xSjeTrA`QW39D1%Sg?8}X?Nl-P%Ci7$;g;cn!@2Z+<`Z2%
z-f^Q$w*2Oy&7EIjR6}!4t)i5wUp?rcCc6$+dI+1hCmT@%h&(14h?~|$@~D&e^91uG
zLD4IE*cM>jfoBAcQdYMk<;{QhJnaF6I*Hc~r<b+>Ut!^w?Ht%a9Iw8919r?y{Q7Gy
zjmto|N}3UrAU=N!gMoFHdn628!hZb4n+HLwr41!G&A7|wa59fZJV%90Eq+}0Wa2%I
z>pP7$3ZOFN9kR>{3RRg+kvurF+i|fi69mo7pR|z9(H?DW?dnK@LhI~*M`~{v<9P8~
z&}X2bT0C=B#Aw2)tev_Qyi69oz3W~bwXIF7wE$0|jZe9`>KLPnjYE=xGJNyk8G|Yj
z1F;~MCzF%LLE1qOdT!Gcb+m;LybEU{Ceqn-j!yO2xN$dqwi~*p_X|Vs&i&c}aeO3k
zd8~1<*kR<eh*7RJ7^wDmky)dwubq8~(DY8ZqlSG1Lir{ra(NnE$oLP20-+*kHdqL+
z9(cyi*2;=-x{@33K3rhdV$8ns=rGVH*hM)-i1@PlD)^F*hFyVP;ryP~x?igYIWcU@
zZ(i6Z<tMdk)As;@Kv0*am(nZ2U}Fjp;aIN_Yar*XL#xABWPg|;z;rUtS5h(3*k99A
znt%LE5H&s-SxZ~nDPwZu@EtR`AYyQHFDX6zKP8H_{zFMXm3**`7=C1%>i8#3P`!-(
zGHU?6blQvID-%wnHry{Y&{FmAvn-kb|4*XYyHrZM_3#-^ZOZMaEKNV%9(AnNX#Qc|
zVX4YH@t3vbFr9JA2jcNP#wExZzbfBN+6>x7Dm%JCx}um{ht=><`DuAi&C`_{AgMrI
zi<UZ)Nx4tefsnEUF5VvwCNZl>I_yyfnuQ~SG?k274^F_|{yxi&>n<%`ZF&kCqnaI5
z?+WhM?~RfWHc9>Sb64MEw{}vL#j6jmCX|<Qz^YQRksM+0=LE~)Wpq%1MYH?dai}A_
z#MTJ=r>aW-7=-ui#V+u<hs4Z=eRA|4Farv%8>9)6-%omHaoUpUztWoUj%*!Ht~=?J
z#G1*^-<PP=e8>B2@6WVW_u<Ie?b^E1+aC{4gkJxj%z=Ev4o9^~eOCNPtdUK{8F5@p
zH2}X2501t%Vk|zkHE_~zdLk?}yIJdBQlkCd_GM#lJvBfafAp?d46Km}hi&_nD)@(*
z0#o|%Hsx)W(z=ChhV6|MRl|3RIiNO@dnN84ItqdAKavC#S{4NB2V@2m=~*dgwL0(!
zfLJ>G8(HOP^ErB>M^qcMZpUbr*p{y6IWjl?lNZDO9We7<^%JSTRq|)hFQ*CoZ~&1b
z*ruotBgeyF^I#xBa7U#@qfX=Om)Rhs0c!XchR<H1??0k?^WO#)uxUW3LtlD~vU^mX
zJb;-Tt~(rqe%_or7xqt<s0;>nk#C`$PT$kAhb|ESR;2&iU+o1KIKdsQxwL7|_vZ^b
zls4~tCzyGi-Qr)mhg!+dr~xw~L15w3{!7+iFS)$KyP<MJ$?16#F3A^8-9v?>#z*l>
zhDuWQl7szSrreP0U`mB@NBTbQ&r(VbBeOajcksD9)^S}E+%fXS&7s-UAu8{}7LkKv
zcIb9&^KNMmx7R-W+XVTH7?}Da3sjL(P~L!~p-mO&IxR;9kTpMHrAr38j(;#3lwzS*
z@UBb?%Nxb0zt3$HbHtw7;}B0Cr`4n4;9p>T*7ADMvbKer?Jx~wX=UJBSiE6<f#oTv
zm@o~~p(L+vy3CNNP;nLPumMK4d$%JG`4=p+9kmgaq@vxYW+4w!RVmPo`x$rPCV8ts
z8n1|V7ViIvh$u$VL)5D>lmIHycI;9N_g|sPU_6ZJv}nkBdpmuj*AB+RQpK`Fb&h85
zQcn(8Y+#9I_y()|$<2$Z;_t8g^g7u~y~Va<H+)UmMEfZ*U&BY2gLgsUpESJW;hRxe
znpr>3VT)Q&jWqikno3!p|B=62=4@HKr{7|DY&5BRM;T0+UG`_^p_zZ!HnfF)5S-}Q
zE!^$Kk54{=QFg7ZtJSMz@;$*lcgX!>IaRHIve=crg#iVy3!ko=nwVVE+g=Q><!%7#
z=El#spfV8)hPt1b4<<MIN6tlYCQ$Bh8m?RkNR7aPgP!tj7HA9;u&WX}TyW_8=Qy9D
z?Wc~BJ6d249OUpfGE1h&qNb~yc1Y)0uJCq#o0qaTLbAQBcFa<CbTbKsmd*|3CVS=S
z^Kl{>U!tQC@{(PN@sbnm=fmZ8bjHGyx7Xh8{zg_TW5I<Qn0yACoM$T^dEcMgfbCyZ
zWO>Ic^RN$Rj4M}&LqTQHv?fyB$($+3>8P??W1NefPklCLihJ{k?7(y3zpte}4WJyL
z=5$lzeAXf-{Hvcy{|MKj99KxLXX(3nv4N#P|L53=+Mj4BZhk4>SuKUspfV`2-+`1f
z+sok+pzd|?>Xf4w;rM;S1607oQAXi?Cll;spLH(UkrvQ}YP-+8NpIN21_syE$MqQ)
zy2d!Od>Wq&#f$HjK2(vJY)jb>NBZn%KmO%0(B_8|9CzxX>RJ@vc{s+<@5N3Pd9CD8
zW&+%xMJ781l9F=!r~B{oW)V<$w4_b5NH=(5jyi`rnzqF^`sxNhlqG28ZpcN9*wFGq
zw?*>4QsYReW9M1c7=E&;=hU?87^Bp$h8}`F!EhPZQeBc$GqC7Dl1mn~!(&-hSY6t)
z!hDFdWkj7~o9gxUDXoQyO`XQpURT)HVzh~o=h#p~cXt(@y=X`W_w*(TJ@T}-KibM}
zt2Kx}Tt<)8nSVC}AL?b^Px3O6%3N4u)$EFT(`I{2(;jhUA3XD;ngNz23?hef6-oQ2
zmc)jc-;WoTLZDm<vxV)5yq$Sr!Nfi6`GpgiT81h6^H0j6HVu;vd}cE#XKi6{C(QAS
ztk7+{9X0+)xvjy%1Z3gbP`8om`e=_Dx>GP*4s=uUr0fr}wlF6{GVkk~=;{=cvW^bT
z7&=#d?<hbnkOE~}x6)cQ+Y;ekQya7xoa}cJcw8%+<&j6Q0G*iYp6-oTGg+kRKQVW*
zh(S^k+VQWa9<|j&vEDnG*;jZU-%7I^wB_HFS##JeceNk<IP!XC!w6fs_S)%7ugUgQ
zGO-MN&(x)3r?%M%-I$cKPW+bFv~V%Jcc2<UHe1W>vX`Ctj|BvsUyK!Be3$!_)933c
zM+N5z{HzY!<;L)#pT!6(`StyaUhOXv9ezf@vE&K+>ibu<qY98v6k6l5%`030B+h_J
zjW!x3U6eqhMpsaK=RLz#!}t1kkkC6__Of$=M&W5Z+H%@22P=^hqnC5~ZTU9)-N!g<
zV&Y5c7t<3RXLxRG4q3<~i0ass`ZOds!?EQn4fgvEJxPM3FH9}$84z3b5?7hcegxxu
zBGO|&NK0F`u#-n_IfZ@V+~=RXn8@~=eNA}JY4qUEvmLM!Z$#Byb05;_N4|!{5kF8F
zGI~?Jq-vu8ytXl)OV_lEkHAhFkQd>vdxi(rrlLfsq<r=iOjI5vp`=}JTRtbg+x%wK
zM_Lmm6RRifIbR}1(#RZQ2p;Pe6^%@rG0%mv^cuDkw@AaZK6luP9Re#TLos+7K!{q7
z<OGg3_|I(5*(+d6uvJ%dpdaidlylux%D}0q1ww+72t}DE!J}Lw(>B|4;Z2N5ALskg
zJbw;da%aGK0}hY1`VWtLuc{_Gz}F3iyj#C$s_DwS+hty$ObSooUL?fzW=?m1{dOy)
z&;x$?1sR2&Z#bS?mq2hN$ZW^-q-?Fg$u-C%&+citPqF!pbfUJ{m(|PB^@N@r1X3wY
zG|gfz|3kl{a>vF?gD&TAep^jyQS!(}*|tRwNud$2Z|NKDDwo3>OKP^7Ei!zDLlPcZ
zkx_TFwb1zD3(pPI%hFd)RQ;TeQ1k^utl&6AJXV=X0q_-8Mq{eir$3kLM3Q@%EFAXd
zM+NsduE>~m%u6A5UbUYt+5gh1R^>C$gIxNsr;_^(v7N=)J}<dZ%Ehqlt&~=><stSR
zY$F3i^YwndPFCuZNU!DbrnpEsX;LgsCd$fIMT9)kO)G{e-OuLVly-oM!xk`(-cNn*
zZwNwRU(`<NNYhGdE{LOln17MI%?ItU{%ab;(K^2+iC=q62v4ZiYzZTalIQ4a^w*L%
zrcA^oN=jO<L=oP`OIvom#&K-doL7@2eYo1l1)b?G$(l-zzvK9bWG^U0Y7Imb?v&!>
zPMm4fnc%6OO=2vOS)OAw;Pe_babhI9PGxa1Abf6Z3iVSqly&n@CkAhLCO0I^JY@Cl
zzKXvEp|Dhd!t=mcm^96mgx0Xxw1NMM6lx^=|3C`;hX^XWCKZVu5t<%{OWy|nxa`Kx
zsio{pQRv-L<f$5Oj;%e1;@sHk)k#b8UcR-jbwDZ-s&V4<2fD>l#6~4<K0o95MFXC9
zQ0@~Gy&U!0Q;JFy0!P(lt5;$=uSCuE1KR-dOcKIxUGn7Rc>+>XJCMB{QJZ&hM-HO^
zEiwq?`R<|#h^$o+pl_B0FlCM~A)j<WO8*9O#zn^dr@&q)Ge3X1F^SlgB3I)CfF25`
zwAy|7d1M9nDh&&ToH_%<o+G2Zp${>jHG5&d=jVd`mKK=pD{Qs+i^%?(`FtL-iBg(=
z79-Hgt-GYlb~yRdRqiDE>`Ye_;c!Snyt~iw5iglyVx`Aw+11yYeqD#mMvhzzCg}of
zk7h{_aFFh~#Aha|WweJ1rT-?O0&txsPcpK}n;XA{0sl$45Kf)vHctqqb^{bqzJOU{
zu+Gr=H=Y{lF(cOu$b9hGl$yRuhiQ@4Q!#dqKK&674Lgcu7w*nr7}NjkfSWGO(yJvG
z2n2#pgmRkQfGuvorwFtn*qyJW+<Jg+@=>j9@0|clR-;qjdwWZ%ORq#Wu^nXt1Wj`@
zkW)$-?QGU!lFpY=$``-U=UNpiKxIu~9y7c88YiHe_uiJ-P7{nD%WC@1WT*DhB>3Lr
z)fEFd{ocHhPiN$>s>ZumtUEs3w;3I(+0VxaFh8qWr``mixYl3(kCp^@EiagXN`nC_
zOgi)9$LE_m#vW#~`g#xebg=z`uWubKE#oR9LXT7**`xbP1$V2eE<7V2BGdtRuEWLU
z)u;S^1JexC0Y9^Y)w5DXiht;x=lU|(Ud{6I<#jkS3X-YX{G^@z*`82gG7Ius&JL-F
zUA1c6Z;f&SH(&+#6%O$;x!M|_2kh_&_@>zNCD)v|^4dWG&U5O`XPHc`lf$I~8FoiW
z+11suT|&WPc=tPbmH-77v?$c0;L|7P=-H%-q%=%8h;Wv&$rD%`IeDAJ9YvMz2Z3!=
zZLI3jq*K`<je0nz97zgMOn>#;^=fZ)#VV*VykX|5^-BuJ6&E9F0N<?;h(Ax!>Hv_V
z$`4R$nYwy<n80@lvv2w2r!S^|=vUWi0sPpL-vrE3QjG*IeRhr{C?fPC<{M-$K7F$q
zEhq?QrUA%tx~SsnJXan1ZJ5qYlLax@5zr!0f?F%y$|}K#r8i!bodrnM2w=tPa;}oR
ztd1~q(ttM(j%of2v_RS0L$_(YDYV$z#*;M}C1>Q_9e@RtFhIl5BO;UMDnYSFD*f^G
z#Pjm*nhFXEDdBU0XR=@+Uzo+<@M-`K0~#!~>a@2v=#drt`ST~+X>TzwwQ1c!3yF_t
z!v5vE0Dlyz?ci34He`Ga#?V>*cnY1{v1m%uZ5{<b@h@vUBmXoc-}6?FU9SA`)S8z?
zcTUS6KXSg3>lN~0=uICvG$u{{$`+Rb;cq$NJD)=Z;Z%SN8mqk2-PIM^GT~H1hXth+
z?@w|)E)X|`;{(@J4fORT2kR%XQ$WFf@3@0g&zOja$mQYJfM#w)4On_)8N54GGD+5H
zpxm`xHCei>8iSet0HCY^Ru-0$862k&S>W~3H^6L7E^ho>I;q<WpwUm)Ur#A$)a#p-
z#C>LH%^#NAQS`lI>U`W30Z5$}o~w#9eiop>jMA0N@-Hc{s^LvlyRbJD=<zLMX7`!T
zEtJ28ela>Jv@_m#{1$!pn=?*_O=a!TQgqOIdsS|C=dyk?s<Fm!vMMt7#8qj{#JUO-
z_!KNeipgYy&(tu7y!+q8f4^H?4#KL5kG$qP=GnTjfF3fD62aw9@Ka90pj%|9!(lQ`
zz*CHdjkp!5pdc$#1;F2x?KJ{%XxFa`yvgBLaZgx+cAt|f=!pCH5o0y+w{Sb#l3?Xi
z&&K^7rd`yHIX!?8Z)=(E&#%h5=zw=o&`=-mf0Yh49zT<nwNNtw(9r8}HdGNNH1mky
zQhV(eLxG;erWeLi0M#?zwY9z$X?gUet?j`2&TKBStf~s(Dw#wlezvsII*`I^6>$f|
zR;q@bnoYpjx2DR<&W0cDxcXX3if|L`M*NXY{jBoh(f1&KYM`O?uyr9+vw%T)f-{wB
zqWJQYXS5FTj;2NY0FP9s2H>)diGMekqx6Z9%4vftL*W^X%&8NHT|tobm#VG9t>%T1
z<x;X<8*_hC5Xg%}n+Pom5DI`#V;0z+BACsgU`ZrYfc~wF*_oLvFxO<6VA6E%-akG*
zfUk+V<&zdaGmin{D!*s>*cQ<ENj51oe?;M`9<ieZY-68^coAy~D5}G_o_vUk+1B7^
zP7m^fcJ!*Az9LE&Rs*v=6@%b~lj;W;sAvPT+zFe5Hms2Te{aJQ1VcgpUvp9W-rA`i
z!U}G!N9^V9fR;4M69{|evqbIuT@Lq?r3J;su8Ux8N_P|20q6S|HB*L0rm%L7ZhqH|
z?|{bsUn7-ayN94y5rSEho5iyO^#2|6#J~*z$DazzYe(DB+q?CcbH5SjYM9XLq7Lid
z8Z{FB|35ZQP5*9$P0d=|53i}2`u5`LsT0TlVo8fiE3xCw7x;8E`}*4x1QvaqesM>G
zz#!3hwoCt^R~Nx5yF07FI=6?Q-*oY6<lDdg=DmoCf7~z;I4Zz=<;=N)Z>r{#-bf_m
z!`1tr&#5wa$Z&>Ba|jQu$_%Yaqy|C<SCba0z5kct)c^c=AYJgk^ElkN_5DDA!Pn2!
zK;J(UxmQ!D>B?&EIX@3eT3g%nA7k*4-W<&(b%}?~5B7W+UFgor2(v_v%?oQ9B%BH@
zj=Ls2hADD98Zp=594!%d&pwd0=mBjg(lbXqzr?OQv{BB?Fr(pe@~(F`FOO`z<MWZg
zl-?kkTAz?Z9p$TEON!`bk;_E6>k;DU?AG9hYhQF~T%XnpE=W3l>5?n0_WDX(`krdR
zGw4J1B5uUIFd&A7Rc+vZ%rBDN@L#QS_Z&A#-K*cy4UoH1tikI2-O;LMXi@vPV%L#T
zz066>P*c3D?K+P`7FC`J#XAeUo*lQ^>3sE^`&{4=#qb*~vhZ$&x>x=N=VwJ3tOX2Q
zOs(qixy4#HB}6k`;N>cIDlT6(5Fu&SsF6SCw_7}l&+Ah;<+(gX_E1_K<v}hK7pd7{
z-B&*Kqo%XVcW^S>IH>5QlwU6_<PvtfoP92`AzwxkKKe~&@q`C=<&<a6ml5pE9;Iy9
z(>iZZ<&l4DT!C{s^HQ(GTb_8nWwA+iaqiSyz|L9Q_AVcl{H?QKkVC&|hS%^}&otR@
zPA#KYXVp<c^BzN0bJf_1iybHNMPa2YD;^2hsx(No)w)i_vC1-&l)|Ff{HPZYvqar3
z(<~WB*z9N;qdTh@`wdHj+S!KZaj175GeL~#M{GUUq0Mc|<I!zCqTtiJ%4tr!tKL-4
zJ{?M8Kf9#_EfD=)z4xY&(1Wc&XZMwqun*|3uOTarh1_Trcj`#D-6wwZ3l$qQF3zr>
zGFome>;&iJW({Oyy3rMGfo*tqW9Js8oT<2E>*bAcbNXOq4MH7kaCR`+XOzh}Tn2ZW
z!)ST$L7jSd1wZDQYIab=046v^vbzMw87(@!M06{51L|6=PSo~LC^T%!LpW5(B*LWt
z?G3etL>X8w0=0hK9-<G>+R+1Yx@^#);_gezJ4zj?*xA7n5NzQGH{yWUpkMKZ8pY>l
z5n3*EF6i4L1~mA_-<;+|U3>6X1blNt8eslZRHUEP3#q4Wt6$%H(iYdLeYr9JQA7;~
zXSSZJ=G^o}Vd1dEweN08n1QjH*@3fMR_FLR)$A&F8Dqv1;Tv3jPmbN!OklkoPp)(b
zdz4nd-9+q&T?k`4OY9TJs6RECeDNZuN!oeFdVtue7#cEV=&<mHKU|Q6!&fZkZuR&L
z1cbCdD(9X0?3_aABv4b4Z;#Ue+2jO#tdLB6ILhUn&?N8_bTNmV^Z2-n@95CLfu3N)
zj&F9YW86jw%4yY{C*Oqqeg7{`mmv$l>)8groR*k<Jr$LfMDSWhk@Pe)P)5eaq`(CP
z$Rb&Dva`MV^}RG7JUDuwB7NGl?nFv8*HmI0Us_n&87CDBIacI)s8}QrgSF{#)HQcn
z!}L5Nc8-mI<2CMGnjJ!l<YN~;1`rpjK4lLa@n=oitK_NV5AD?C$56w^{}s*-YZ+iP
zjJ2{6Xs#H4WxpocDYpLO;W78+tq(*I&&<mEFipRp1|#|w)dkCaDqn`SyG%<^VZ1af
zBrZwy+CwH_dPLF3z8%NLKfTi?5CICUX!sBhOQ??l`^bV-`zk~D{lCJ5uIY3bp`5s7
zGQ%bUOAfq*K7Ra21YI?e5lSxrTnTKCfQ&V<YGJk~w?-d@4`cUQtroYS+;Lyz3l8UT
z6&YfG&NuiwrH$G6V#<A7&8^(?-mLwBjF=TwDrj5kpV?~>EH%sov`R}|wU0OiW-2aV
zsDE?d%R|<-Hp<1>7{G7|y@euyC9><^s?^-NXFXz)kZqp~urjtkUCFXCW2H@UP(%^w
z^CS5FCUR|Ro2vG)$hi3uP*sU>lfh;YO0=F-p;<vuS4ks6Xz~`+UYT7*_-A+b;7w?z
zmK6ass`S9aI&V%lgGo?{9s_TD0;WPf@k8}>%Ln3Y8|B3^T+`(-CO#4-9p=!JZ{$-7
zx(8o|NZ5fwc2%|GZ$HTZhR8`z8Dfrz6xP3D(|YNK`|z)l2r>yXq_Tt1Nnm;;4p!?j
z-jUFuIMD$ABzOrfHsCYlDoPM_`~nxKhCFs~aJFx>_Nq?TMJakujS`ba%H~m$b_E+z
zdLm7XJtS^D-16SWPHT-CtB6w|jEc%_;B7)(g)lz$6GYD%=Th7Sf>CUkUU^H!=K;GM
zw26x>!~EwhZJ^SPj*$EegMFicecPXym=M`_pjdrV`F{99s1+d3eT+Ujk<m=>mGXRH
z)^0n$p3pgKzdxTOdWkh=bHAl}+i?U7>D$;ii+a&NXgAt@_PLa;?X;8)E!AA~RWW~@
z81TyY>T0y<Z9UJ6k0pb8de&mewlKxir~romN=XyqVLu(~OBS@1b}WI{a=AH0;`-fB
zZC%~oGeP&Y3=F(7(T=F}wN>8VJH-avtBfueBGSLS+v40FxBYTB?-j->n65-XUz&TP
zdA0|tu@NFD(@|wVI<OfiCbKl<HBsJLk6dcCKe`+1F&pyLB+BaLjz+x<d9{9IDrt51
zZe3j~IDmfg&Td3g`MQa4Sm)#d<O*<6i@(ac6d?aWPO1E{MqZ(1B)X-uvy+_RB?nWz
zH&riE6*^XKS5>Tyy5?rD4mr1Zl*VrsupM%Nqv`bvEIiXUtmmJC?J)r~kX?sv0*jOE
zf`S6fkeX@-sKHlb!-koY;wxX^6XKSW#d_+g;u587X5c_qV#L~FYrHBhB+PE5(v%kH
z;(DKdS!UT+@QCuWTN9$Js`&k4@)pEf0Ny(-XHb%Zct7jA=JQbonfmB7=P$`C^v;P}
zk6NO;=v~-<<=y__rrWIF32(1Ph?{=?%9Fg8P_5;#rL!Wus$XtzaNBcjD?N0bOFquS
zWHB7(>ha!gY@2>l+TEvpgV(uwW!yp*+3z-_WwhbF%~S$G9gBNmrP?{aDX>u1zBLxC
zo#aXCA@!|S?yuO>anO@>iV&;Odh~FzsdhWbM7&~r@u7KW=_iZbWELi++#1uqg6?WB
z2KKPApXy1H>w|t++S+Q77qrH%iC%fc)wB56&wwMgjVf^yVS(Mo6c=<Wda*)eWMnP}
zH=x7J*h(_N{1Frokd^O{0jl;4P-|c*1U!U*PW+kU(l;#~&CDjwLDNf1xBh~C6G7pX
zvw%jI4gi#%h5J}KvrRn*cHv$Hi=-Q!^e^9WtFzrSY<yC)M;B5Ry+{{jUMfoGZ!^}+
zj18%~a>eo;>s%qH?B#nf@av!vKi@4^D+i^ia%L?>N$UAhQf)GHVp0W#e_<9gx#2Fz
z5|NU7UnN_ytWITT+5v^OC#|vUS2^Vmdd$0~nW3#mg&Kc-nYOqNzfYQ$*$rb6l3!FV
zVE5Z#AfFFw<8++6F6KU05-|6^8rj*tKHAykIsb-5#HRmKh-tk`@0SyjraRLt&c8l*
ziR_kU+zcGb@LVp3&=^0H6B{Q_oC>UO1BA<m(4F|=4F>2e5Z)gFiJc>5FB*zklY)Ko
z01F#AU52DQ%8T8y(d9~z+ip5xdWME<xAD^5gM+f>O(<@9Ag(G`&}|G9z{Y`BRI!AF
zgeg?+>({T$z?iMOqsLw5sg91^gW8I!(i~ak+uIg-%uGsCoGJI7r^Y<aZZw(ozgOZY
z(#+nRQo+E%3+05A^|U;5%u7hWL(=8EP~y%j;@RXUKs$5Xy|LVq)`(8BDkfyppf<Ql
zm_UD{#UcB{LWoc<WnMVbxrzMi4;KK;dS8U~S2A~Bnd|}`6b@G8O{iEIR!XyD3~VEM
zM9_)1G`NB5=J>w76lx@4Y-wrfcJq?g{SGtWF=QDl>1tK0@0Bey`4IShd#j@W+t-T%
z&=muzr038Y;(#+y3v&iW$XlVg30+Oy{Zpw1;cUMozmI%O{LyYvVP{2IUM@DB==9fO
zPT=QvQ)qi>LHHK~%6jx{JRx8^=-z*~C;uUVIN;hsBK6^)=Bn8ab%6e(mD{iM>IYe6
zEkB<>I`vI|1f8+D6Vw(k(H=ImgtMrLe>u3L$8*N!D{1Y6iroJC>WzV-B4aXUuyQ5M
zUrcs&uV^b^=e$PHhPN13s$FkyetVddm{ycq?N{TP^`Z<lHCEEfllp*VSK__l>B)e4
zQC^RwyFJvr10n{3t(RA4?)LaGs2AN~7vzJ3^S;9?GaK4@+gXg!h28&j$~S6-+P94E
z;1RLcs?XQxcr9Ca_|dh<Y@?niv>>!RGX@bhW9ScWz_M{&3LfB^E(Q{dc@Q&m^RNht
z2lm_y1;4+4{eou$v+x72GfT+;tgig9?y%FbZJV#Pdk>6`<eoYLVbqr>air3}_T9>{
zhp`us;lKo;IAdm!Up8U=!ZE-0)|8ZJPMggMuj%Mx96QRR^P4q2Rs28toxY^UBRPKL
z?X+qt8hcHIhmP5Z{m7Y)XjBiXS(^zpYOmVZ@Grso%+6+$W=lSw)!AP<re^L?@mM_H
zv-K-K(r2!1!8WtxSLq~fkYlr1a4|j#IWaMHjFD}?ev|1svD|h4qD4|Map<KyS!z39
z&a8R)HXSg~;++*q@|?-6v^afE^AgFi@ai!8h3@ok0ZW+;>xj)GzWb-B7dP780>5q9
zUshk6n?0p21&gS}i^A|BPr#xhR_VDXZ=Q#Rur&s)iMTsDE(f6moY<xwXSUlf>k`#Z
ztpgF|4|T0yd$X2Pc3gLu!Vt379j{xB^}h$pk=qsGndG*ebJJX%oEst^PDHDkbaf4Z
zd~HmyW<z*P+%~RLec!a3DWfteXXstuUQM`<Tv^$2&Lr7D+;!_gT1z=+y?7Wshs&_Z
z?QlWEM8|Iyvo?yJH<m}rbE4lM_w`p&*O`iL=EO&lF~Kde+l9bAh$<lc>P5<Pu8AV`
ztPL3CHh}J^7Eo`Rk)A$z1@;X{e$R3@IVP@P5kQ$i18fpKAh0`rghrjBYTgald9pY8
z`CCI8$Ha7jJH^@p_>FOIU%rZpO6T+ZUK;Qi1PIkmUUt>{_s_t}OPca9{(!dNwgjFg
zbpQ!XWp6A)rc?sIvElQb1vcBSOL(G(A`ydqOuh8$T!iH8{pjb*T&m`H*0>A~q)zwG
z$f1Q?*n|(FtpnSr%`Rr}RXl&GUdw9~-`$|Xxg=^Qsnt>9i}Qf43l)gIbz8GQCd<sf
z!$Ej|$6Ru;UPL^rom4TRRf<W8ATUg?DqVRMIXY6a=xGN@W7qzULiTNw4aln|CeKpy
zD@l@^lyC^aszD9(QuV^d`Yl49sHuekp8^2ydJUQhYZ)6?fACW9^xPQ$y6-@PuYAgb
z6NtY8^8svYYw}bQR@QtR|2&@+QVa%nFWt*)%IS0ubVm<Nj#nUHE(e~H#{8N5z!Rhh
zHwB!}=ya7)#eN$Tf{9(#ZUZG!Da7uQRD<kflKrOdleEhZ)d)oxq`{rMWjrz4&2_7i
zuiC>+zb-Zj`(*at^E^WXcnHKyO~TG>(=8z)*=Z$EE{RZS7ESm_P2bW#y@SYXrN3-I
z*6;}fmyNi;j_qau7y4|GKGS!zbS%u^37}V33Qf{Lg(0Dl7mB;9twKBuJN!Xtui3s&
znF+w!>>D`uWP8j$7A>fx&odnX)B;Qd^a{|X7LCBBGY*Kt5*!m#K}G=IqUAjo)URP^
zXlNgz_XLD>Z-vr3^riB%vaGC;iDFb#%<l8EvgKD+Uw`JDNR+URa%3Z3*q&X^kAEuG
zkZdd@JoXhzM1Hcits#YV?`W-?sVU;)zX@klcUKKq+sfQWy*heq@ywZHisKll?cm2R
z0ik+z>g?S=oxOU#jbrs6=@WJ@Yle|cH!L%-)9oP5qoSJYe|yrsek6})`b}F3=R#dI
zBb+oB4J>TLelFAF!(l+5V<F}X3fz&oj92Gn5f9rWgmskJO?I33llE=)y2J)mMMXIZ
zjT%kknttGn#V|Et6%z}`1XM*tnI?>!>cl(;pS51otbd_eU{L{yD=HF&Di`Bl)eX`u
zB*s<R=G-5x{TV<%mNQk=L3F1~vW-x%5<$Lj`rS8Jn0KZ{LPFGbSkF238o@9NnRc5p
z=Rr7Xoj&9Du{*AXS<m$~9_bggwypI{p1$0iKDw+5b?WHwGD^O>8=~3sBE@m$&aB6^
z^^x+#$-jAm&)ZjR+CSPP3%%XM1T)PAJ5w@~JT8jxx39V{)VV6zwmY8PqI{#CrSjT;
znSks{>eY99JTi#V#X0J>3svGV=OMiFZ)pwO+`PxcMIChOy7%}5ww?FaYb4Y5_g$Hk
z4)6@wt02P!U*^k^LqE5o&iG$v5l0)tJRYE)^N}2FHr)i{9V!FxorwSv+bOTphbuZw
zc$8H*rvDzMbD*;hER)D8U4OCVh28oDj;+-yr-8{4xvfdut5iiiyju=2!z=i}+GJ%k
z+qg#3^K0y)S>oCo#&Zd{bP>6&j77b6)@YwC)9|%^i`f*8gqiWlJLyS}x5ym;A%OG$
z_^wgCW+QkhVR)R;q@1UiqTk*t{996eH)!(BQ>NbgD_6KtFc$k7+{Y<5_?#b-W!t}n
zbIvna^oC%v&ld~3u$t<fjMj)WM$w0)DA0O-**XBZK9}K%y&6F%SRd}q>dCeDn%rg&
zvp2+XZ?<r6t`SdACMD1<r)Z^<8rMp^{kaP3R}AX~1rS*ntG<Ae_!xm@ePUSjtQ`Z#
z9Z3{&dOMsDvZmEe@)(L0M$W>5dw2%DkkO$Ha(qx_6)zrfx3x%#senrrTo1o&G+q9E
z_=~>}FZ&LG&$KRR7ccJNW>O@Ld)3Uf!$P-k_Cs8jIE(KL366y9dh^7MRHJF@g2Ho@
zQ&8^Etngx^jQ@UkLJs9v;N`3SkM#Hd{P=&^kQ}8er=pUYdT_oioz>2$gD86bwD+Bv
zDIJr_PHKR@?ieh1e!q6^So)*AHFl4fWRq>jMoV6=J(XqnpkRLfmOBrS;3RB0t`@4a
zdo(wl_S|>)?W6*hfQ5p<Fu#C6^02sCP;rTFNB&G~LuCi^YUA44T3}0aGr@}}2;9#=
zIX{tWx}uvP59Ne<{&XE60{h+GUZO1MR}skT9<;<H2~5jC#T5UF*sfX!{%Voj`wAUs
z5XUYUr(E9<?DqLqY}F4Qv3o;|CZ)Eg)zfjZ^XsA0kKpYUE%?#%6@*H6Z|}KcG3*ok
zXmr0sVG1#|{9xkese`8^PWV2ixO=1jPM5xv2uJwPEg-0p%E!lta~aar*Pj6;;AoZj
zK8!~t+8Xo~Y$|;C{v<+a+<#&B8!&zvTCEhr6w6s#TE<02MhY8u$N?|W0$^T3{$91%
zU*_x&dKSYCtnITteY(>BAotZ+<Nh`BN^mpWBBj^4_~_uyPVQ-`)gsOk0pp$8#&v5_
zy#m=3wj6YgZ}v@2U#ES$^i1J;Nf~!<Ioh+J_3KOG?#$t-3!cstaSs)OLTg;vER+=$
z6^%_zKO{s%oL!P$ybjIIDGn^f?kctKfBf+a*L8LQyCJ=}qy!mdhB<K$aP#VPM0RWl
za~bvQmq2izKK<GNQll>*=k)leb%4V!aKv@X-Q8KA&5fow#0*vnwz2MKoAs@nV9h1v
zrr8SCNS3b$WyonF>uqZ?$?XZG@@YJA(FWr)xrA^vg!K>TU#kngmWYW`u~(D(@QYBS
zz)0A0+<%^1?RYoq!?emtx}LB-&<{S92Mg<e$<`=Y?@V-_e7DDid$E&MmCJFk26sQd
zjjuBRahY-lV|j8+RFtcX_j;mpn*@KHs$D^MvIL0M*8r4I`ZNEI0_f3fMZHr_O9xhl
z?uaSfRuuO18~H{RN!bf0F9MXBse*kW7^MwV`4>L)3!|`J+Y>RX+_ur^$Jf_*t>;7W
zv16c08`CRh5#|$xdSUw>v3<&-IM)ac)hV>Kl`1cunI^k2GCz%X97jJQ?%*EKvf5Wx
zS?L6}SBxfDWLylfobOBCdp19}lQQU3tug2zeAC&L@LFB)Yn<jvj$<NwI$A}elaqrK
zFC{&dMyYw6TdbDb8w+E~Mpza=%-DoRsJjUVRi&jE5J4<_8w;1Kmbh@T3o3a%O8F?H
zfg7-LCYRd!{z3ngJPkFJI)Vu&etVY3sj^rS0r3Sg0L<u&JKHl}BXSS}51C#hKi*1B
z6wbih4ud89g_M!iE}Tj4?c_5zXOo!zFfWOmV=1p_3vO(*XT^e)WiBOGRjqP$aOk1o
zzW=OOKqZLXj&XN)Av}JH$Vun6JF=F9#Gq><B8}~Lh6)55dMfwn$2>f)S@*WYHL|Zd
zbgx-vZ<e?n+`>85Bb7<YDk_Dr{N8)0LC?`3p7QqOy%5M{Sn`~$T>GlFL>L#8XS26R
zzC#@Zah)Q;J^EfB(Ir3yIY0^W5zv!VxI-iFq{+2UOlPDpjE|46c?x4bSQ$GTEwM-b
ziXjiBVoxY(;4Sb&A~P)wMlDRSKb+e<Oy{%hu|UO%J;5|l&YpOcPbHAFvLo!adW&ea
z&Nho?mp1oVm^Sg2Uj0{4!o}bU{$fFPLXpdMxaOnQjQgCqpoUiVfvJ4Qpj{XYS(V3D
zoJpmCFi)fMN#<EPNR#8ZIkQDYPhAnuDkKxJz4~FJnA7OGtGAOWPE_3zF%!pYtk4;n
z+P1qg1TQ2d#Y<ReE%AtmC|Cu>*3A&g$xKS?TSyw(ddI}OfYakZfhJ;F6Z{1qh&dXa
zK6gHV{?s78Sm^rRoIj3cKA?t^j@J70;${D@>fKdmZ)v26$>FQvcdy8NEzVB`X7JVg
zr{|`&j$$-#UaBxcNw-%Nc~uCdzh51RAKY*@!d0)P+n%q$@th0VrSYq!RPA+?%B3!x
z42^V&D&EL)5T9!Wc1Z8gyVC6mPl20Iu2}wU{7p+cJ6Vie<64Cvp9-hhdi(C)4lKOW
zUnOfjG&gB;tTHD;ZlM~p(hDncoR>^W5plAtVN(VEoJP)}kk$yugp%a!nFckPNASJI
zE=h=`y`+@&c*%lD7qYWgQ?0v5uW)hND%eL-0j?Y`S@x?LR;Xy)huBJc$eu>1;ny+0
z<1^BO^bA!DlXzU9?aJx>zGiO&u3TBZV=-km*&@Cl)5vix69~%=;p>wtTzdVi)^+1x
zx4w!B^fX*?)Ygxeoei0*;F3LitisZe)&GlFAm@8UL5c5XcQwj|44M4DzNuHt>JjN&
z3Syn7D--p+g|8HtcK!`g1^en~fSm3kYErqptf0WDBJOW|tg1C8r})R<#v^rgb^LRo
z%rSFoq89MtWMX3CygHo>Y6^kqVtgzg@cLAsc!_gF7nOp~20?%?mp7<Kus~tlPmlW7
z@iE=hecUrN^*3ouT*^nu{#)4j49(1Uc4Qpq;&+mxkNa$^a{ITrLKA$RX)}97E`A5e
zznP$XZT&?b>^A;agIO1OrhobBYtqiwRL|!mvSr)Fp&zAC_7vzi`}ecY6SuoG*d4yd
zV$c8RbsSr3K)sD_Bg=`1iSh!(QXqvA0E3t8Wd&J^QK{Tpmkjg}0A5oz`Ufup4?fRF
z{iDn7J=VP)&IW+D!UC1@7O4T2mk>*RAXd!`y}`@74Y!^z#?Goy6eJTOBhRZr&e^|<
zjt=AJ<0G2(SL<4His38ED|YAGH54r$iHelV;R*c&6wh=~>vBnrenQ2-+-y3=faf9X
z$KJIBPb*@+=7~m?w6?*nW!7`^5vG?d5k7CyF=gDP#ilCPy~e+~J`!E8gm9mm$D;eX
z_4~B4diE=|lz~=gauY5y6!p$=_?I`dQxsQ{!)&R^T9R#M-I>A7ULjFFR<>{v)_qy%
zhv}`C`I!+0n4V3Zlf6?RiQPZ&HkSdw&Mnh!Taf7w;35}hF56r9rLK;9??s|m2GLq=
z6#Pw7t)E#_?z`*zdhOZJ^%r_RHfO$SIyjdIRjIYHeD)kvIbQ4YQt4PFfKp6>H#o{J
z^!{JuOk)}z*f&Dk<;uWK(SYI&-?l*exn?1$o*l%08_Hab7quk}R8+K+7S_^M0~__n
zQWnGW^|fnc?{!!L8;e%|X$ec>(T@qUGuQ%*?RgGs+b!G84UoLTr?6orX>OUtro>eY
z($gmE_HF&!YBD2HMNhcKx>r^AIQdTLM{ApKL+ShCHf6gBc^`@S3%?}HcV|SlL&>W#
zN9&fyd?JzC4<@o9m>KB+G0CBbu?zfOFG!_R39JjP(hIAcPz~#K;jvT|vQMC6qPuH(
zRcndpS~ByZp9QM{*;v#<ttK>3Ml5Zwu08IZ6a{vDr(8ChBDLvlXC;2z+m5tXwD)We
z4T=WrG(l_eGZM~jyR`OeHIbaVof#AEfebF}Z#BYt*81my$r6;&fA<C{-Jsh&%zj$c
zbH^H)A`!?aM|E04L1b72_|?PptZR6tca$JbV~wt={|ouF4D<_;$a1D1yeNZPzxLn4
zKA)3OHU!USPF=G-jmElV^`enc>+)@hpr41O9-ZL<VCstc=h<rJ-&@3&OH=UL(nyPz
zR}GA~o4S<)8%0eIO{|4GPQVW0GrA8~nU+8mqDt{pYW4D$g_u|B(PI~HbURqVkH
z@!XFnC8bXwe3_S}Uz1+s!81#Qou8iV1=qx*T>jNDQK4(IrxR1`)_BxNXnY)rXnQqz
zG>U$H5urO*{6G#C0=*$TR=gGzDA;@uVN@B<T%p8IMYM{B{VQvKt5i)+j)e*(H?{c)
zt&WdzHt&p{SX^uLIM@W<lPR%pQPCZKmQZaLm|D!*JittbHjCBu^z^dO=y6Hwd3L|M
z!<oRfvt1w9cLsts_qb*EJv!@oC~D9M{N@yb9l)midELgvfZWDdK{$2tq$p7G^+=w&
zsO+gt!RRSvawz~F?QX8T%V(ru8S!(%YDwM1k_fr&LBZW!_iIvo5xeUWD%|`7okFit
zBy%i5nS5Q}IVL3XZ`rTnnb#{b8V}C6md9S{XeF?`^Ry`CgVvmSBVV&0iyh;N_<GDp
zy`!^pF-$SF0Uz5b)4qG<!b#ps!LGJ;AnJ8l7vd5F_aDgY0gYR+0isk4tW>R|{qNvl
zrVAG@c3}+5R;-}5LH9>L$VjLkd=-^K{p0G+3_jjoqWX;}f}Q1SQ1sJ!^5jPxJ~kL4
z!^6uxO$)`9;Beu<54nF@rx!&1*P!L#LIrhnba=e%KxG}LYn>~E&-sMGgevb;7P~zM
zkBe@S_>;qL*v+^q;xBeCNK1*3>T3HNzZz*v8PEU>14YipVju>)sq!2O{4IaKDr~N|
zA8>HMfB(>Nz>g`1RFnVt@t@K8pCS1@WBwac<K$@<>Xaftg#pXs(OZ`Q^eJwHF~z`G
z`145KrsM9LdQ*#u<|t<fqDSB0`ZO0byd3LA1X9GTUPKGP`99iBkiryqa#!(8<3TC1
z23P&z@yh}<QYrpI(EY)IV9no7@l;f|?w>BZTnV<07!)Z5T>(Md)5u$$f<=Md5d@=W
zt>?MA37Qc4$UDXz#Xu!?A4F3x+Yz7_A!^ZMFd=zLrl-F@k!RWvN(O#fPL}P}ppAoG
z*%PpD&L2>30D@&CLZSQE`lE+*tuweIn?@=M)bFtDm!RWN+Fr?UcgQ)%5TUY}<3Y~c
zGQ3SLLyf;()`S24+YUG?r~z!D3*}>msp4Z}u-`1tHK`$4L0P2S=32cFuMUQjDj?)4
z?!E%#Tv_Js>f`H0og}~t$i!f(^iaSpq6iRIb7Rn82Q`Q4fGW%wH#^`H{SCsw-~qS&
zkLZgs(Fk|N4p+gNJ*R4PYf>ZmUGat@?3*K?2CK}?Zyy42%#s29rw0d~0?fWt(tKKA
z@g%$=ALa97+kFa}4}pb5p<mp#M29W)G8fh|J0pSR@FTfs`hydEcKpilJkf&UJpaO;
z6>u`TwwJ~^5`cSE=B^WPuR70NeDTsHQ6&wKDW`Q49J>j8yEQh47q?phF0OvzHvWQ(
ztYIh7t;cm11AON5y}bU4C>1<&+|UGI{cq3}0R0e$>gZYL0!Gjvpeidu%iC8g^?+`R
z?Y^F~tLr-ar{j5X7poHEorHRVBB)XRTH0QlL-A#014}*XY0L|k7n(OjY$#EI1q}wL
z1>DWR^PYflHL<j3m!drG&(@jF)^~N?gozyYj<w;e7V1g{zrWk;G_b|r)x~-Yglq1+
zKinLeS7W6`j)$Bwx7+b>b#-|^%d9HhPIMpu(^gR5rOLBEyR=cq9BGM(DlX{}3j(0i
zi<_4sC8HgC)4@Zx8n6qFLpNW`e~^M;MDT`ZgYI*n(08va<)ItE)u=$?fZ=Lzh)|Cb
z3t#39=F`SyKry6T=H{*;g?v!D=)-%RcW4B;d9PkSVu67{0v|ONTP^iGr9~7gDR=7&
zmGc)b{IgMIkbB&ZcBF6*TrOjS@4YBx(+l*5-%?^)yeuOTwt7(gZ?u1j_;u1PR4A^>
zHoS4nDA!b_-4;9mtRYE13akEK#NUR8ck}IW_uYSL>Lmu&jK93M@YoO?ef@Y4dT>Oz
z^Z}s>mUOiw7J#o=g>3%-YkDXW4crU|fwTwQ_6|#xZpWe<ZW2)B;=m;He%;@yk--n2
z*lBG9;n^>T>7{%=2B^9^;HJFg7$_h4SBb9GPfE;OPbX&RI()Ta&G;3<+QZsf-*tBK
zJSD<*Hu?+H4i0nyw!HO8&5w;aINcd(!fgz9GtIeA?kof$_+uwU_bmoL2>zZnG3nvy
zv0;L2&wSb6#jWp5NC3SOQ1XUKb66+~-#T(;Y2#{~D%Q<N2UQK3PERI=3O#i7Ir^dj
z8^RRaun@7P59nRGsN2HAjY>|TLV|AVabotye_c3P^*ki*qs(!4pizH$XaKPR&k#&X
zxm3uJ+j8ZJwh1SHf^eWO{7kF{=~=&Sj5X}cOJ!~tPm;?yYdk$oN`jnR6z8}MEYBUA
z#_ieiEe_n^+NSV*-fMx@uv<#pD91rzx^Ui8WM;8wU-&I|zOJ@KO{xHhxyQy;KE7F7
zXe%n+b&%Os3V2B0NByoYYyVSSHq312R>BlVzY#jz4!m#D49Wu2y)-Znp&D1txLZ+n
zU6dBMkARK1q5}K&ClZrl%>bcXE7%tFy}Bs1+&L@3>(_g)G_6YK=4IQ08tpykL#ePr
zmBLqt$3Fc?!7eBOY_+e@6G`g0qy1njo(IN+kr3<oH6X`7gSDNWo`ye6{qY?3Z8~`h
zapvTk3&9QLqGDh>E#HZaU=41td;1eGE>;p2=97T83(vF#h+R)nKC2C6@QcwU_y1b{
zZk#M|Fe`ocdjXe?ST=VrZ#83A5^9Irn5SGDcz@d+ydh*-0t(nBO6A3%t-}y7fTX0P
z%%RXG2vkQZY;}TyPqxnk;PsOAya+z_A~@S8&=g#^T259Lp*&*>xNcKk&&Xnc6sWDG
zCCy`r>nWiRtWQP<N+I1;JUq5p5p12{Fa3hkqyct{Gcb77{$K5Vc{r5)|F0J5(c-C)
z%91k5PKc~|5^iKC##SclShHmrN{>`T##+`gLX3S(##V$U+i1jOC!sMI+gN78`AkpW
z>pJH;|D1EK^T+R8*O`Cjy3FmqKlf*OFR%CO{eJhdNQA%0eXMXz)W7U%@WcPh?DYSi
zYw&Ar|4S?(D^p+-@JoZhk+`Bu3dZ81(HiKrLMj0-W%sVU0*_)<R05qO`&iv&!_eMw
z+UHiosAo8%MGY7+7zph6QItRLuNMNL<qKUCqwK(s@%Hla`Uqz}#;tQhEh5j-0=&di
zLN&QL1%~`{Y^q$Q!?HI(OLU^5lF}@sa+9>1nw)GmRP`$&ffmFMjA_67-NN+N&0|Z8
zQEmzhFGwDS{hxvaXu}PZ-TzvU;3t&%yJP76?R|TEgn$hRnj-#d9RZ#JXp9Z4qZ#0*
z=VNAJHx5SsbzS|JWdzJ9>cDy&ri8`4Z7LS#=0tVC!}8>2B!1aOQ+>Y$R=JSy#KJXD
zK!0*BJ-;p-R4$^1dDgIuBjqn->oz_K=+hmN-f;62ds{jaL|~ANivL(Q*VvS7sQ<lb
z1n8<FStE!(PDm4o2qUs2V2VFM4*}En%(=wJfDs~-qF_Wy-jUn{pmUGEz0%hl1Y=b5
zxKyp;o(v_HmC_oLr-O>zT48BD%7+2^meeDl0RFjT!~`u{6HWtosUbrTV_D<%jld^j
z)b-DmiMHuZd0@Qgt!CikzW!(hHo=1cvNB*O2?i_mPeXTEzvXoEYplGP?&KiEY2{<F
zQh@_Du8P1wVq2F2nt%_%sUlQL@v5T|=mT)*<<|!FM7@!d2ltnP^x=lTNTa~~&cuMw
z&rM*t`+&Y+c_O2r({Blw{hEl<tqRcc3LY5`WV-4pm9r23pgz3*24nFQm?O&aQpVUl
zWwiLOvz5;}1LgGi=ap3?5Sv%i9vJ-wP~A`2c&w2)2#59bl^#)@{(O-rXBU(kdtb!8
z`iQUB+VjN3Wdeo>6!d?F`kVJToDDv4txjg`myZ6QBc^y6qSr+z>9e(xS8nI~%U0@(
z29NikefFO22~X1cFlpSP)slFR$fq6kXe0K+IkKN(*V2QnTkkF9-tm7w&>ETY;lcfV
z?@d~pBLB6s8X^>B1rvfB9!aU=EiEic5(9LI>%iW7j&WZA89X9I0R9-q;>d(j)!K>*
zKQALABjrTBdQ*@kT2oTu8RHlHYDV)kB71Ojd)-yX>_Ft%y{dXs1h$~}VF!Ba?qk@<
z2g)BFZYh}Nt1rRP_u22ek4m_Y=W0vGWy#;;qIuQ*2N%2tj`AQth>k&NQY^mB+?S#~
z$OUX$x)2Z!OX|=|P-N{02qBVn@;=AHw!MRq*#H`RSXcM^q_OQzs#>A+0P3YG6j6j<
zXiLunJLGH1GGJ_}qa9+k&v6-;xwy>mL8Wptt)&{Q6Qu{Jetl(1j=#a+@<`UP0?g21
zG{B^&^>RZ&YDDG}5f&JQECG{p0%reRxu@1FCsqoMlp25V`~Q|IfRSlpWtDoV&F%v9
z8z?%dX9jqiEVV83Ozr{{8Vph#W#&CIft8>Dxat1`hwLFB-_<vl)&Q&X0DX73Zg*4p
zZRqY4O}-AKP?}g+!2h(k__$DS>SSr|$k`~7!NKZVA02<bi#qF&BC|4eSIb$;WYgi8
zwnby%!OeZboZUtwy<<fYQcr6pZgQ7j)Za7Q$z@6ss{6E<$!zbc87^-MPV(%aZrz(l
zh|0UV^z>xP%QHW{kSApbv=<dw%Kj^1@1MM|w_fqbk00;a;LH<{&k8CMOC^9FSDql=
zc;3BhV>`G=KXwFE6iCDzIdj?bUFE&duL3QuBB;xWdh@CJ`I&SoIp>0V-^Y(1Z<w#8
z{Fd9E9QQ_Dj|he@X)zygg-?WmOp4tk%odtgFZ3@GZfa_3UtV5bWN~%)r57VNNnHHx
zl*Xxe)dAz|Cg24-&Q}pNh^G+V)_CtxXOPc=^r8XodG-sm%x?$#_f!7=*Z<ZGRHeS4
z9A<NirxK<HhQ<$baS5sLP~H0js?!F2GwsMIET$9IU_gq8q30Ju#)c@}{cGt*+BvZO
z!^3q2Q_5+l5MxsAx`-}ckQnarW>qok;>JSWXgoVTFJd9+Fy6H)#F6Xp;jT}2E}d}+
z%X--jU`#knrSBBm8xqJy3GSI)HHOf*_3FvVNgrZB_M59+e0@&|cHZjPm+@kkWM%*S
z<Wd!5gG@+U3xdj0t8GZ9kqbnCD0p!Q-kb0-D@t~(wzd^2c<|ss2q>nUfOeWDftG0t
zTRF*IsBo9MJD0ZJ;nppuXN)%zJ^~?}1^)Fk<o|SK$w_S|naL|AK6MJJ3(dwCX}{cu
z#ccr0d9~i)LbrDYLTlU2dYHc@2o#3M>@U9QI%hX84AO-P(JnPK>enEX0vDzn+x<6w
z$3F&1fsSegvRCiK)tZowpyv%|iu%=vNa%U-=)l7vNr(DPMKHE@^m>+pgf!(AqU%E=
zEvGJ&K6gR{RUlh6n$QP=?#yR$a?mX3h-S~~Q)74A;nE938>CF;hxr?|L7Ey>_M6vg
z<~6zAFm;_Ic@5ym*+T7*NV!)dcq7wO38xS}DaqoAZGXF;OPWnl;l2K$A|-oPU~I)O
zt)hXPP&8EbrJ%ASo7q_ys_r(6Qa7gu5pb(u_>{lypB$DyPmxCtoJN%51|k}pnj)KC
zy?Vvrs)D#GA#(i5D5!rS#8d477o*I3US_^uneJ4|Hxu(Gs&8~<0m+=b72ZhXTm5<1
z6)zn>#eWNH2?DV0D+wV;tfTjpTtQF<vVFQU%_ox*ZjBs2S9B+Y<K^wRkY;$;B=El*
z?=lzgn!{0+Z5EODOT=W*47mj+z4c-^n!^6zDmhT*dB77n(L|#H-8Y)9=J6}+Y%+WI
z->Vn}Ja?bUfkjbDvYtq#LRu$kY-2mYfbrFE_K4daM4Zjrv+u%ivmv{-*Rg#dv<N~!
zq=%EPHG^8{%ibgDS(Lb2Ohv%?uGw^bAU6XWfOn|Ed*ES}7}dL=k^oxcQs0*Qe)>N1
zZoVm7Buq@RFJuo}t|{xmE2!PWh&XUnF0d@?N>$HMsuvd*jj`4hP8mD+r;f7aAPTU-
zYU_EY-Os3MVDSQljMe}Kh%u}Pj}OiPj2(CA4|dcrN;R$1UQI;>z7nH*F7a!(U#77Q
zG6@}&w&sfHk`fRQxXE?&=uVZg*QFOfjgbr2LFen3n3yINu>@66MmPr6iW+xRzI16N
z(_$-sZz*;07Is?+(Zz%{*qB+7vf`)0L)_ecj6v=N^UhvL4imm5R01t+%@5+xV^m>^
z>j;F>oG-eP;=cA9N6=&9lp@eYFbAtrCs-7esiLBC0F-nVLmQd*Znw}tUJ7VbXZsXy
z`Fb()B83~#bq*3Eu1cqQlyQK7fij{ixCAE$y##IQ%uA^ZRzB1<m8>0e9L<VabGpcf
zl)7^^A&`Go8M&avS(?9Li)_N(Zh1sYL*5?nL}3KGOG105(O>%ds=_3BRr}z>7u<~z
zUGji}1K89-;4RY7p4e$X>BKWa2f$V43a3#zq*0KYSoft7<mxS;BRsI%-<Ot_a7i<Y
zc8g-Gpe0%4&M0*NYb#AjW@Xb8K)b=Ffy$BZh(tY+c<Y8xy1?Z8HG8sv3`VhS<hfCS
zan=*6)}<HWfD7OU?M{b`vBMg5n=o1s4Me3*nk|sAp+x$#WHNjmX*xvc(X!Khc@t?<
zR8wZVJ^ZaOFFq8~)ouTT);LSKfzD0~aMj4!Wu-<%*y`Oh-V!$~#TzPwqCDuRnE;`E
zY;L+ehOTVsoUB!g+bYLo=<4boN_gWa`iU|>KQB>b-371fo9izI4ee`t;KTX3Jh$<f
zy5mo@gCiq%g@H4afR0aFGlN!PSwhcrXjV^j8$q5-;^b6f4!Rm26=Ax8A8-H_BL*%c
zeez=5U`45>(GlKpwW2Q!1+CMwfk5ldP#TwZS3-LE_?1J>4&uFJGCl`GZ%apt2#6P%
zlcdpOH0DlOXlQ6q&d==vhO^heP?jCJ!IZQi(s1L$4k`)b!`kF$q`t1lLdMEJR|3iQ
zN}u1aq{R32fFo~0!l92^_+}mj`Gc8;qLG-Bsq}PQ&@6MYj>e1V0uQ>zolGyZa8#FV
zQyyBEYu4Kg26n~U?c)9_>;Y;9AZ!8SiEN7;$4;pAicw?{UC*+zvLrYT9B}B(aXv&n
zPj@@;B}|$|rH0vq{UB-BREBwn3krtXnT<`CfEgmyZ#7084JvddSAG8cc@~QsPYkdC
z2MyaLtq(oz&Qjf|OIp7s(V_0#_y-`nRREDJ4S_=X)Ido>cLnGxt~0#eZ+q{%>I`$|
za-Zu&s7a;JWV44prtGD0QH6iQoMahpk*q`9XQvB)?O|h@f*S1@=WS?cU<L#Plq9V=
zLmV;GVN237Sg)NsmqM(By#(l1=%7Nd75q>h6qJi_cYpxc3^##TX_!kBL3E{Yo&Y%n
z0JY1Mo9W|8RsD-J)<|m-7EI8cCFW@AlKdtK-s`Ackc9jMOtCI;mA~C@{rMUP<U^%W
zZ7u3wv$WvA&}ZL4<BwCzM#R<3<>lox1IE)Rp`XEl!NESYr=WbZ2sJ@RNeW<lJq0I&
zCJBK8{o}w}3<f$xP*89u5GSK4D=SO(%S_>nh_eGwDQ`ev;B`QW_yVu1lbiWzEqVC_
zRzCiD^*?<6@4tSvmIUK_Cbw%qT5U_`0z0nK2iIQHe8%ERyg5!yVZs-jdhiy2RH!?(
zd`|&r%8TwGp8JGK*yo%Y5-aEO8Qi05Rc$I{ET2BGkGKlLl|<m=X^J`=EA0dZiKdxY
zAKkn72_q;?Ze}5x-afVLc2D}97D)?K+SpE7>7Qfhse2?EiptLr7VkYFN=GX^%j|q6
z=c<3V1UC!H3WY@9b&4D8<^!Y!(F>L`v}c}mdYz@NoI6_L0MtuTLK}*n{Ck)X>g(%!
z?Q;auxwfE7>GqvF-%Z(P3-V%jUsxspeV7Agl$Cx;6HD$ZFUeLD+lq7K^02s+bA6Sn
zLOxkkTR%|gn4!j%d@bv(F|N`K>g;I+$$kPL#UNh<iCvJeb8HT5{LEK11ZTFgCLY#r
z??V+oaU-=eb=1{p1L)!)os&ntI-smbi~yAef~;_g{??~ED`v=rlVM?D8?0jdh<sjv
zjIczK&}2>sgcm*jM80{KH%DGgE!<pqp|`hps+77@hv5N=SlqpHy>f8g4}A_qYe6qT
z#b`?Kh+q3S3`GhYjYh{W&d;k^kcgbC92^`<Yjk=b02prpu~k7Oq*)_nQorZ-QKa@z
z^}#(VICu7KD-u_Go@0i+>#(v+2y!fRRyV&L9{#i3SBSerU*!1i?YJ!hZk-M4bQSlh
z>XJs^!EWo~{(dIg7LX7Z#~mEAWJ?aLgQ<&CoFKfBgJ@c(fQE_+LwmVehx(v7VyUgY
z9eFhTawS%0E@L(%M{+03*H>1CvJAGgInYI6Slk6@h=leNpF2-4bUr6OzG7^KnC{>^
zk%kG^hzy)u?kUgwd4t3QyKG)ruVfk-B}0Bq9RxbzJV@e~pk#vk#DX`)tIZ&>+l9cf
zTWy6xeB4=UeIczg>&!D9<H~^u1GBWb`2k(@`gmj{Fwi_sA>K->_K_dLQ#xF=8fF<z
z^klLJ6F0be^~#qbhK0C9fAyRl{}XLqgQ3=q?G`{l-Eq7fx+y{yioY_$7wqKp%?I>9
zyoQ!W&lTh8$xmE5or@Rck^OHGY-|g0Y%(>fPqdw0VSt>|EQK_0iHeGPKh?=|1dA+`
zXz><CYXF7EP+IT1_*VU)nDmK!tKrA3PDpSWX2LI9DtugXgztR2pZCQS<95H&CDg7P
zdxDmi|CBti3rx->Du3ql&l52wC4s2pyHDc<{75h3^cb@Tf4>NzVb176XgQZa<?!h>
zSNEVxZ9nbN;o~_<?8T0@Z_8|nt2^Hai+Skv1%Q92e~}qHpYKh`DB_@d1lZCC@aD$q
ziZv12jHwcwP;#}N)}ID140SjKQQ-!D46(w5FL}JcY*&?bYz#-_D?Ce<7~d!Z20*eK
zP=Y=_v`DX^YRcp%R1^92Cq`c-)drB4f<XiID`J!wU@ROVCRT?7wZHuBqm=YU@|Nhc
z_;`&4!eTyJ`Uj1s=>&edVE(T5RFmMB!aEv==G4h2-Q7d7UT^Dwqt{w#b{!l&fB~@b
zyrxU3yrL(w|4}?~;)Id%?tPsV8{-#lm3B4r8dW;jM!~&TZC}S8@C=TVD~N6>zMvTd
z_5nHiQ;+28KfUJ8122*=02GY6dR012qWYp-QmV~a2nZc^C4<Sk#*gw~LJzA3La$Q^
zo<MZ?7X>)aOS7O#ic0E>qp*##=7B2%a7OLhQ52e6Lxb$Wbu)eAxkz9@Kv$MR!}qDm
z?tzD)3RPG*)fVvS+6jSF!GlZ@bvQ}F@=Jkzx}=7Cg%w$M&NQ|wL#fOo_PtI=KgeJ8
z03tsv889oFzyThaCoCd>Yt=tKzB>nBCEwY0AEX<iffBLO3+>?Zhi=0~lPH!ZV+PwT
z)hW~2m&W&k;U7Y`p~iQuUhE)jo!iPd6vc<TuRWY)M5U&Z#fE&qzE<di=}8b<%MQgX
zzb0lbRprZgAid5%dpGwVaWznwPrmlA=CVJ<$CrM-Xi3k0a+<$2r<v=e0B~l=>aBw|
zGEiH3TI$PFPqc%M%r;HDIiI3`r7eAOiFg5vyIEUWrz<cVVTJ~#bmv^>C6_~pE;nVy
zCl%&saceW@>Utu^^Rns{wwE$Vjgz6h_aD_*8lz%coxpZ0lbaC*v%q)eOa?V1+x$nL
z5vdBso2Sv^eI%ur<+`X7RX?oO$Ga&IVsY!*$c1y`8vw;(mYLTs6g}6^2l@L2u!UhV
zd85sD1%}@F9y0d!c&y3da2LzBc_edf2mv4>T1NAY8^iRo$DeR#S6>Vfs2*6fxV?OL
z%X7_6({gA=ZRwm<O^IO@9S!0^yxbcFw%?L6OY0S^rENoU{$M+JY@#&?meDO(boM#(
z(_JNiLkUB`#865JsTdfOVr`Ra&NDg3;&(h&>OqA`)CWHQ$8s|w2*b3fjF&tt&7tVc
zY@e(l7N+u6nX6<)TqV&&x@q(CKkZ^~?hcKOjj3NSK5Q!}oxD~6C3L6s8>$!H%o~1N
z&}f6?N(FNlHp5Z}lZXwgp_R&_v^48S4CPo{?&0BKpQi0W;BND<`gvT=v@+kV>a&UT
z0P;IqWZW;)pUGgXn=jR@`CGnLJ<)**gO}g>5QxrJYzyz^GbiV@7g==Z+cMKj$rj18
z&(0|E!p9n_zJvp3r|3e$^^hW_-FP7ok)u8P(yv6X&H)H025J9hFw|C9raPIX>-MtM
zoO>U;@D#T$k4`4ea&+b|tI<wD5-@=Z&<aJ2is*ue#fmtRV5QXTk<n3sG!X6|q!1QQ
ziqH*0J;?UK+t-)x0>$Wt=&D6GCK(m@fDY=r0_(N(A#2HX`~IcE=W;VKEGzsCP-W3R
ze=DK8fT!v3!cdf`Jd=+2VeS!Bm8get)RJ9MBL~s|aLB>S0jsO4n*yy%#ySH>K?Q^-
zW1&`pPqZV3z{xrgJ^iMv%tv#4Bl2`lWBH8XWoxd}pZ}>jUFZ{;hyfjdGXuYv>NaR|
zX7jV;(?@uiaZ$LbkSkuNBZW%1DVp>t56r2<+w#Ll01{#k@T)&20k6y$H8f`|1)}u;
zHqa+61CQ+*sg3;*@8L9kgIXVB@S>yIn@%7*7Ux*x?}z;5GT#Eyvy|=~Cf?!yHD)~z
zeKf#+W0NI}MIn$N9#RV)2TW#DAB}5)In)djzoweu5H|UCKL1!iNFj(M>e=z7rZp?N
z7@bSB{y|s_0UijzPt55xng430J#4nDje8#0&!UuD(1wg{jVCI<dSIwn#NEm1_4mju
zTb5;X1#160GD3d-;b%B9CoLcw^9Q0UaWcaP#y<W5o{_rNeow72A29Z_8i)D(6LIV6
zz)h_77(N>Lchfa99a5xT=un{jc%Z!|=rD~3>}%kS7(4HVr5^z5Zo62{B@#-2R6zX0
zQQ>s=yHcb*83%0t4A8?qN5tMMuBZU_nG-^WkMCZ4HKH89nu}?GNr9qr3@xmL2S!lg
z?U<LM**K6Zc##`=DouHLh=;$>%R9hhc8}XiY;GsTvX<vS=aTTikZHT$j-Vhi<I|nX
z5aSJ?<oCR6_A)M#eJ=sUoJL4X;=MXh%uuTBcxXmc?hho@egMuq0s+Ra%}EDjThgcR
zfjCLk=;^IB-+O&PhPQ#i0+oLXq9q2{WKq#yzScILN?Av$W^>5OgT?;N+!02%#mN=@
z+0i`C#>Tk`X=_=O*K?Q3*&w=3vl~D5T-|Rb4;DnUbD9(PL*oQnInN#kPbL0#F}2dQ
zRu6Yjc87_8F12OmfHaR1!F$<C;1D??unjsSIQuRo;v=8`r_IgHQcyWFIJ%l8NI;;N
zC8UlD@$>V`IFLbLTspP7nQxV@ea@7=@Q!ui<QX4gVn9=rkT`%?BYrS<ZUZP*YTGaB
z1%O_5l`mhe3Eq73jV5t$ox$n7bJKt@1gsrUSHZg!fkS`~0M<PrF8z)(hzJSF-=(F}
zN-6r5C^^fD&^fItk5Q{Ux>rEJnmdr%peBP12y#!M7tw3k0V=4}j<sXDsLathsTMG8
zdaMXkL`g2L|L>@@4m)8=VD@bP&x`bcfgJeZBS+Mw0hsdT^XKJmeRr{q1u?Z4^3TV?
z72rdR8NI8PJ8`cqe7x+6i6+nV;A;IedhFGNotm_J7Di%fc{2jNhz&-WP0ccNEQiY$
zf&|}pojP?Y<f33glX!U18WHAYVWJ_F9FT%}2(ky7?!9oKdR@5zMAjG(S$pewj<cN=
zyH_uh^yv;Pq;D<iC|i|baBy&aRn=+^+IvNfc3wV9i0%FSdz2`fA=auXL;&Eh!><75
z2ow=R3i9W!)?pDDdk-9Bh1zpV05s`>T-cR)82}7kE~51#7H;eLP=l2ZY7+ZwU<mnb
zc{8~omz(wX{~Mo+)7oI(y@iEt)LzxvDf4s^FmK>;VQPR;y$|YQ!N6>6$;)2sS~x#Q
zD08wt`FJ9C5;sifhS+yaQdFQ}zef53lMh@pEVs8Fyn#T2HVNX4@{ogaUbJ~d{-tHI
zrP}xI25YEp2lqIDSB)R>-Mpg=z<h_kYA;<JZlK-)oft5mJnI(p9U)r5ir*}~zRsc>
zROcDTw1A`?{`kl{k5+zB5xipAWWb%2$`Y$1l^ZQcij$kCUUONnZvXYbuiJYY9gR7U
z-VviXKxbgBux(_Dvy4e^<YLO?xT?O2F{x!z1vt|_;@f|fHMBUFaqdRs)HHs_E^WD)
zGETI(<G-Y*Wx?zvDaRn9!D)208|jk3<YlYqEqfT{8Ye;MVgXzOGr<%TqliKY`a_Zw
zKM1c6=l90LcV;1mG1QcloDx96tf`9qXxen0++Y@9RC)M`0^;AjD$@)IB3-iwAkCD3
zO!20_u|pcNXx>L#XHwUc*qIY$obbmRkC{%acL5XWZpyBuE<t(xnv!#<VARxki};9A
zYW3&EaFw57E3>nqx8M8Teo@_;6Dgy=JLx-=;PFpq)N7jJmcK=Mqq)}m3X7Mv78?K9
zN(qJO!_B9|>`h_2bt(Vs?uzLTW6$1#dv6mVm0ZJ}r}!$}X!=O;#B^A`#W06Y@ya$9
z!_2VO1Y?jzxD|n~p-;m+`v*n2_uoF`eK1B>?BIx1RWT+7?VY?P&c31M$Bw-VqX?jl
zURHOV=Zq?JjgA~Yy<`7#%LD6(`6nD|dLB@VNsA5{glug&cV&NuX>0wt+Rqt96u2G|
zUiKF6AU!>e-pM_Cufa-7VoU%>zkc@+clDnUubWkZlGY@kag%aK0e0rM5#JpR^rBUH
zB+ab%xXSCZ*1MumlVxw{meS-(N==m+i7e7^ZluSKU1nrhgmRW0n|(%3nz9NIr}DD%
zlMGduKxr;+$+jAo`8#axb``E=@JS{uePh;ltX*8v(d~!_4E4tFrGN8Qq?G(_obOJz
z^UTRFLs4XXhQ*UD9W9eVeMUpngmaM<VHe*KBtDI}n7Q#dip^8~>1t$1bU<;lf`lbu
z`8~gvdJx`nu*ccCroz$mWu%x~(;#onD);^eSj<hM4-7DX`(oD)u}*`u!`ock8}4e}
ztocKeOW~G_Nml3;aiQdTMgGO2m4xqjGY8U5eM3CDl&gK?=AZj(U?iTs-QG_^QtA!O
zF7a!cn!V|njzyJrt!<$R&C7kTEf^^-W>v)fNfhr#y7#QG*O8++R=2lwco>ILqf)^U
zWqV(u_3L!SKJa~Kq=ny`!~-{8d^7QRS3lzQ*>dX+#_Q!QWRLySqDAktwpcWcBJo2s
zH@WFiOM28mIZk{`cVnPp<W4d7T9a+ZnWt@$j<*FixS!E1MZ0Bq>a9yN|H@T06}|zJ
zW8Xu|sHW$KwaWBTkMuRX`2b3Tu(8QU{W`%MIwbbV&1vybH2n(H*|OYc&?U1z%ei{@
z`qbx_cgdM|AJ~fBdzH?;A7_AabsxS;|9-N?a)sdg4s4QdI_f63#{?&r<WjsFY)$yj
zjx`v*G}GF4N{DW;w-}Fj9+ldbAoip3+dYV>KcuDAi(e9Z+;GbsJU#c>u?dh#xNu9;
z>j-ZIG+a|6xx>%%=89zsGucZtchDnc#fhrdSLl*f_T_C&ucc1@gm<m8XmKi0rzs|J
zO`ctAOjB>pYH6i5y{1vN=i<FVmPD7O8tNAFfJODtfGaE(GBjTaKs2k~b0_k*VPF|^
zTakHMH2nwtxXC3PXFODU)yL1V-8dPlicATwSK-$vW;Aw=0Z}mJlcZoJ{O=umqkshL
zsy+${9cn*`M8<a9%^}9P6LY?W_YWVrS|_#$e^u=Hc1F!YVTZv<IVycxhKy<x<|N#>
zIE$L}t$q~FBN6b&^2rpg#YGW^QXtOn+dO5>e7ZZ0G;nJ!OA)i{t*oZ^;Sd?VFzEZP
z-0AK5MhV7wa`PGIUJ7;{gBg#Wa<rl>o^(Pto{mo_41aEk?vap3`9QQI?PbOC3A=}5
z!aRmkKem<@`e%VjxH^3HJ)q9Gz+b@@xnN#zg|}PK*_`dh=}|wq;f;;gNqb(7ZWvsE
zIxf1|GsB=5cVsTvwD;sf#n4a`;TVl8hK3HPiz?;j#9~j1|JYrpa}s=%vCW~6L_mHJ
z3>|c|pjAXbjMBJ7OF>7Ny6!}j-4aqpdt3IB{e>gTQrA%I*qF35Th`(3?QvP<0?Z&;
z<^qWMh(eBKey1cT9lk&9a61t*d)T$^Kn!fuj)Om^!^-;SyN7T^1u%eOBRJt7b_})3
z`@}aLh!+o*(E2}K7EBJP#{2<ob26ssEyUAa3mfZ>+|`>>u2{@99{#@BX0>>UgY`k;
zZek;O49A+wrMXltXwI@+hI7kSf^ra|Jzv{UA+sn&)$A+<c}o;^k$=Y0v9l|qWwM8p
z;Nb>y)XKrl>cg?QmVVk=NYda}8Cnj{{@^6es9Gw|JdMr?9}&Dj>AT@QbrdQ~4yeI6
ziXVLIjb8JI3Jl<9DN2eZv!?7)o@FL~9?mxD_1M_Y-i|TbINHC0Hz6tUgwy_DZ(o;$
k%1(T+2c!5e{5id>sps^lTY=|F0Be-cbtCQ4zivhSH!hvOkpKVy

literal 52078
zcmeFZ2T+sW*De}FL8V#gMI;nOKm??N6$mIOA{~MvH9(|y0yYFG8hTf0(h^$eO;L~<
z2@rad5(9)52ql#JM*W@df9|>Goc}j-=gi!>-#a6DP4e!t_F8MN=UHnf?4GVB%W>}G
zAP|TJqIF9j1Ulja0?|J{$^g7G68~WZcwu;~qj?K>1+MLzwFuzl*i$VNcMym#l=hD<
zdUn+Y1Ud(T+`4Yyle#$O8_?HZf3Ui_9b|{RbK}OL(&yJ6#@0N%UIhDWD1kht9a&j~
zv&1C$Im2P{jux8!7|()^hp-+~*xs07Z|Rd$=OqVXYs$5&&Puia3>OP|aiX;AN&NEm
z-n+v$kG{QTb!BEFKxNI!t$`5Gm?6U{N}lW7*8V-Z|N8U)js&jB-^phhH2e1Ln~N;B
z>J6MCQZmlt8Tf9}6=Cr+$9-#gc#gkJJu7Z#eu;PyMmht@(DG~d9IIuQFg2JkvbOC?
zmg_e4&%jX3Ap%-8!n~~NV-^!umwi5FHR>o`;bm=XB-s5OXwx-9R!wky|M0M1XjY~0
zm=y5|WS@c_yC^B?Rgj<m1wX8A3d6?6N)Vqy283hU*q(o${17N@JJ*?XB%M&Sp|afH
z($W$D;ehM}-oM{7YeDT!Qy!3V_<*4pezEx5iE3O09U4=ii&Mo96T@yjeyZ1c`}{j`
z;WQ}+48b?_W%Hv}&Y0Ya_X>JA@_cEjFTAA+<)01qp6|=^HZn96`7*WQ2=O+BEwjD6
zp$zoc-#?&*`_+>PU+9nd+lAFNoe>G{n&S-54Usu_l722ZzIk;|Y{uZ>L+7~IggYXd
z5+<ctHNB5cGc!QrJi@bLnx|G4{FOD3;o;%wC3xFc%~QlQM-?NSeg@Y2`<ItYmF1Op
zW7pHA=dy4(+-%^g`QMH>IdNV`mdA}70=6GHnz_~%>f95D7~-Tx1Q<7MI#Ha~g<#=R
z$AmC1TU!#3v?OXC^``st<T^h1xQ{TOFr+1sP^<jQcf6evYPUGe3Gp+*Iiyuu7vs|}
z=GnBzUhqT$qxP)Ecs;{V=Erpp|Lr&+Pjd3wm6iw?q6$?zjatAP!-O4h4H56Md{p*}
zv4q;Z{QP-kB>z!{=cmD4W%zEUmp8^ExMW^I{07N&Nwc%F64Wbblx4u`H%;)}Umfm;
zXblIKlc&~+y^V46=Ru25dWlIEW0*}*q=&bPjEv05NR8|Y2`-9X1o)wWLEjm6cHQ{(
zdzU%ujBpIro!-E*oJP)&x6@<Gv+C*s^1u&_jTKrs-HWn%kQaA@4*HqcFAY{DJlLzt
zvZlB#UT*{cT)SPnC;m0WHp@qMJe@if{8XsR4cTUpKnF=zzuDGVNV{tx&%hkCJ-O@?
zzVm|@n9JGHHuPLz2D&Qo^H<KbxmyU+E9ObklXkmUoKrRhXOSj!zG{g4j$cL*((vpW
z1`u@u5VZ0QQ|mkLYp08fiukaay$un>dxnO91}a*NFflPbN9MFXE_sJEFfdrZ2_t!;
z7SfHO&_+RddHFNZtpjH`IHDylTp(^J-?8rWgGpStE~*Rb>&hRAeK)Uku8s4X`<m7W
zH7w%Q&K)R>sSTojqN7U>EK~L~4@Hlh7QSORCSs{c4T~=<w8yobQz9}3NJQ>OwCvDr
z?0;y~wzct>2uZ~o41`?eGP}yidulxBgUzq+i2*@|QXY?sEHdV~L5m3bc@A0Y&R3NF
zs!&hwQB!{{YO@^mimi9}n>UQNGkesvYaSDE*`B>QcgZF&xO~g5eb2|+0$RAyYIpc}
zmFu+UJFS@%B>&>ndPT}r=i$!rD8)hNOKR?k*x}3v7L4GGX`dr{QfBe<N<VCSU)u35
zS6$Td<a=8PapAOFn^&gIL_$sO9&GG^z6Im(S2H1WB&*Q|(aUg9IpvL>>Zq}|Q~pBm
zj5`K1nU^pQJZfL&OEIzIYMmD7q=vkZF3^bEEfVSX1T}?ReQ){VRM^*fN+@)3sY-fo
zkP<4j+>tmIrjf}8F+Ix~nh~3I?c8O3BrL+WJ`=mUO`b-M%eJJB$NbSz5QsC8!JsK6
zCWeg4(tz}iz}+h7vE-nOkf`YwG@}C)GyS4N)U*PJ1GZMy1XeWEtN7RIn9b=gPD)(3
z0O7WFc?-_KZhk2=DQkh~ySlo*|Mck>t97RXavWOcvkIeL$x#LzE*D_7_+j5S98&wA
zG6P4eTvNcl>4dvP`xIqw6cpzgHN9^C@bVv<3=X;AygA9j@H``-uOym4d0&&Cf03P;
zK^0PpPd76(G#v6Zx3!(4f2Wo8gOe<bCF2>NUk4U1syQ;95D2j_99Zf~M1Ab})rCw3
zt|j8A8e)If2QaYfxX70;Uoz$Brq#H93qL!c<rvmFt+&3*^><pAe`Jx4k5foYyCkSf
z?oF3mN?L4eEI3y;%`aWrHY&?VSXj6y!NdO&d&)ga%Y92|1hEj9t`=lKAxfsUwDd~P
zhK~a8{!0wS)Vj0d;lqa~A)>}GQNYS&7q^rCdYsGmvVl%YOG}M}N&Wno5BI*utUsX+
z1o8BKC@=Sj^nw;hh>QE*!U@%@%Ksw}ac85I-;M<YYPzP`#Pqi*hwxyIzqhzEbW(qB
zvo0L6{ClhQ;BejF+qXGKeg01K+})G^w014|{N#~8-w2ky{a+3LpA<!V!aT61gFF&f
zmTvNJM;-V-SgafNaSInc{oS=wIisWNC{*3{$H7chRHf9OaNg&3?>*|qOIYTrd&+6A
zkFYzvPaDb6XcnyR{1-tJ0luoC-x~5m6<GairpcR@V@D1~&KxY|N*J<0{6|Z7ez_jt
z&ZLz5`t(7aqS&(JeDK1q>o&Y!ZE$f2!snchF%f7*$}A86xa_W@vb{XP{jSUpfjv!=
zNbr~-pe0$^=B>_&$pz4}>`(Tm*LPDTxY7wP7tC7K)*;i_N|CzL0{Jc~6#q=JA<%d$
z%rwf0vY7P&MQ&%AURzRm^cFFKe-Y3)H0q;&+hQGm1S2uAkAIyikY!8xE%tI+C+lIY
z@^XBuzjES3U6ee22n$pU3o<#HHH`goSUcBRxV=-{wCDbcP&bk=K>hZjj-a;JtsT|#
z@@A=;qb?Y}?deH|Prx=<<I3IORCzzkYe-3c_AL^`mumwld+FxtLhD@p+Q1H;&Dzj6
zP*DKXw7=mZo4z+8_ih>r5AP~`<DYw&w`{-K`jthG#l*PFg8N?RNRE*UtlrCLpj&o$
z>q|*<W6uE1gTAHNQy}<4n|4F4qct?BR@lo#)Bh%pfAgs)Idi&f^k>;xsbgiO*>*R=
z-Tk&6_F(YjHpiXgPh^+#pdr{uE!;^HE`jx#y4rb!YtWn-lVfHPV(3(oyBq2N1qq3m
zW9QoZ9L=pZ@N;N21KU+qkc*)Q=`ZuZD&xH!+`RiM2S#?ZqQ<)X3$RbNGsZ%3fOUJl
z0UW}QT>P!a3FZpmmCR~uH=~`1lE&d;Qfzq5uOdCCsC0y(CH{08b!n+<W!%r{0r{*V
zs%&XQ=uiPA`yla}#zN7wyHx!`W{!Y)1*)Mia|~|aZ5V_vQWr>}-hd9Uf(8+50p0o5
z^bNS7o2Agk)lBEca{W2f4#mqX0~#f;`z$NXl4EIT(C14A?0jRg%=wkhpk#Jng#ick
z9-fArZrp6Ob~h>ywDa5>tTT%5uS69^2}doDN@2xT*Ib)(H)k;i&SQ9;N-*-lGH=EK
zI?c$C<a~g6HzU}U?rl$~c=0gEQ&tW2jZ<Dvd);Oabon0dFXupT-p{g7C+Itv8nUvM
zBMex(GI4A_rn_w;sZts74DfRA(KNre)3?6cq+VOWLaAML*6|5lM#Dr@VEdk9c*MjB
zozy_W)-HlHDB}&?Ik3@L|1sh0xWDm<nJ|<Q)lH3#N-5lPc`&`2ZI)RHZOHMO$%s~(
z;h@5FK~FC)NR8~Q8^SB-{PLvLJj`&)k8H0`+67uLf<V{o06!e87UvLA`5@EI+f=OI
z2#z;<GKwzBtN$SFAgb!~^=(H~_nO?&l8P#+vA81p9+E#%VP@%FlI|VH+P2|3SKkh!
z+ouqIqRCr3t?vfWEr+j|`YSPlnxgdUi}c_dwmk0v!#T@+VRfvex`XYOGYDigsl6=)
z0R@M^pc91%-Y}b>g}qm`r_=e?zfWyXC|&9pz!~icrSqMKpoV-G7_4U?`WCo0ULin8
zO_tiT6>9bUDbB&%g#obhVd%Tx*Cje-oCx$F5JigSVYC+)Qa18iwk9(Isz?KBd8@0<
z3<&=_@rcUnFgP`OLs`6Fx=kvGP+zk=A^T_rPMh6T<8A%|7p1v0t)B%bX^EJ!u`v`o
z18C9mV#NlrXxxP!3}FizRrpqRmHcr^F`MzD1_*Syn6_v*oN9)wC2oG`ei80F!o&!Q
z-`L8!w0WR<)#2B){|I6{F*Q4(?!iG<v~^pO`vAUcaTsB0*@E?V6Osotq4)s(@GGbs
z0eOBZjJAxQP2Au(^TcIvfE!Rt$_v0|-Y(s#G*jhl9ZJ}@KEzcNt;g*~ELz}cT(gAz
zO#NinTCEXzGq5}S%ZDLE&0`-*vRWQL=!X!aAKN%E>b?(kl1lk)Wt!=V3S{+7??|9k
z9EimS0Cl$@>TeCi9AW_ws5(A4sL%)m3BzNF0EQ|wF8TQwVq^l#)!Mm*dw^OP#{jXW
zi+YY63}5JqAEp*!2--W>a1v8bw}=*f9{+(dqaPd&re6v_`5bQ{{rFy`nPlu8em_kp
zbh%9^R0T}@u-6YoiagmlAI*DzB`ZtR--I9Zo{jI9s*itdk)9nQ-=X>%62&d|Yj)2_
z5Qryo8O)n_m>Hzv*9{WpPJ`3lrlk099N{p3`gowJqN-}J2#CJoJc4rPnuRR@$af&b
z$;{8g8am+3FXKMfc?bx<Okr>*N5>ikdHKz!kOMOy+WAyozFyKDNa#*mm;j>Y8!%Fl
zjg8HVT0k(@1gP!v!!Y@8bwpflK?v5kdRq~q^mVzR#(wPwkMeIf!YU`dfM}F+?fG>F
z`t1XkOC^&g@Z`=gO0B`~Ud_rErqG4nr<*(`CMMNWPX||3;IF0UOd+RZ+MW!o7y%Kw
zHs)n*fhtz{5-+QAOQH&7Q>Q&<y$;;#8?jJhr0qtF=e&XOoabdl$9v>rDEs%s%A3iS
z78Ze#;7ESeoeH(|D?o=J2)-SIM3W8K_$JKS#=c$d&BIdA7S8k@2+wJvq1$n?4EtgN
z1o)yy^I~<!XFxKRg2elfM&{6F^@TZ~mswJ^C}r2*2*TM+=KqeGPyBbNnUC>bF>^Np
zm6ffQvHbQW6NiffJVlJCYTXIR&d%<j2I1dkMSinmC7bwr{Kg8r=t-hY2Mtd+)vQEJ
z^BEnX!3?=JmS!ExK+%5BYo*_E861oJweuIQrTD;RFg;WG{G`C}J(&AyUMSB()Lj6f
z1fVL|RW@)uz@yGrv1$vKrhVugR}Bzxmu>q$AshR%YFI%EKNyDJ{IDB72yo$OZAQjw
zfxC(Je<6D|0NJbl8)WxzwH{uoNY?^K^s)2vShI6l^9zptjWd6k(L1tP!bqAeoRDM@
zBBF-4W&?5KB``yx%Pao@^0@?G@w5s(`?Q|fA00>(z)<Llomm@3Bl5H2FFeTU1IP^^
zyta^Zc$U?>`N&jxdjWdj_k!S?6zJRSvDu~!XP;@@q<l3PplfsGUH--aN9h1q>OrMb
z+Z0z%P95-mUbU4y<&Du;d>jBii$0;-IuWGXmNGkG!x!x2>bIKTE!qsT88q&H`JiZ4
z89@VaNX6%`8hmE4F*F%*r|*$(2^p?X7&kJKQUg}=&9)8<M5Ct5gQl3E#tHLEG~9o2
zazh3E#nS>(^8tVfU9VofdJ3pr`KM1}1Ey374EhT|^sGclw<Nlf*lPC#J}%VA;Y}gQ
zebuV`(dvujZI}G~{GF&Q#%G@=4@1a>81jt|Z{@99A|4_6DJpPVUtiyhpv52Lx+BOa
zVuyQ9?VNPR{VSKn`faWa_s4r`z1zX2i&e@Y0f2u&?R9E>qdj*ldZtG-yN0>^4J&{0
z{HY%(R~+Gtv!j+L*V`GJBl;GHl=774z-@j26@dJB^Hpxmi=b9hYCO0?{4lE<{Y3|p
z(kE@90FXmIDGF2qaQ!J}h9XSGbsQQT2t`InSMym%NQY4N$3)I0B_)MXLY3=e(4Rhi
zD#7bk;MtEn|NJ6L8=yGa+uQk(G}xGxB@8eqI>Jd`zI=fne*U@tvsJMmC$pNIKV|WL
zpt3*B2!V?+g%0z~2njs4#LVzK4jFWw$cs5rb~b9d^G)kC7fC#z(rbPBsF(7yag?c<
znR0q_jtdHd+T&IhyL5?JJDLB@Hw|rlfJkF2!VFZS{2vDf?!6iv9lfW*4}D;6u2Peg
z^(2?P6ec})6-IhH9;KXE-4*%#kQ~pkE-Kx0O@%|Bj|;e8?}^KhN{fI)yDp#%cdl3p
z@TkP5JX@!CQJG`wb4q;+V15zPr{6=@wygmT(Qm1cXfB<1Bm=ZS)~)XM@!x;E6UeP$
zEpN-uQyU$e39bq8MV!SlJKbS$^V{R!v6}N8$E$80db<SpV{r)J^*tdR-p*2&F6~xQ
zLPwUhU=c%BMR6EP@lv-<k!sf7RC2m`ZB>=eJz4I(%q;PENefeX=V4iZpY*csj0Q-{
z^$>7Zn)2pcB#*o$N7$`~3&hXq*ut)Ihu;0c5oyNSKTf2hRey&Lpe<ShmXmFMTfc=*
z%W71?Gn(xr&%BxvMz2K+>;?Y|ZNa>kapZr>TUae^P7J#1@g7aF%kYeM9eiG?uJASS
zVW#$ei+UnG=To1P^Itj1V-)oSk8<HtVf`ew#;P~ctrhA4)uIEh|JU5bI<afuk4Aua
z&5!zwoMmSZx{q^3Ci8G}UsN7;cXJz$>l1VEqek|4P5O@O3AeeXK4n9>=4UBJO`C(;
zmOj*C@N3cnf7_^)ojf!S5V+p}@<KO7+FHYwx;gaO>S>hp+z>_bz|h2mi}VYsuaA^%
z89fI9yzxtuGTX?Qte-!BUIUbguO+b;T;J%k`g6d`dklD!*}C%(j8ymS4F{sHN6lrl
z>Ml|ROV05q2bN(#im1@)>Q{b|^H1kZO+e?C)}3~$SpOjc`S$bA@8kL|5syKlFkY4l
zyyFfB!=0U-jD;AijuM_+xAEEPhel=(JB*|Umh(&B6ec~o4UpLNCi)K^Jm^(T8yTsz
zuKGi7SOZSt0c|VGiU%mnTN9nMAP2abKHE1Psq3*{*MLmKl<Vu8<3f@99h~mBOiYH-
z#v(5OY>sZ4(uRt4Cocr8t*vb;MWh&Cy85B6Znu8SqU_)0IeMS`Wf^$;esin-lp(tm
z;XNa&QS{3jf_k_Z60~05)U-wew?yg10PZka%P*^vK+DSj*X5@yRcHU9ES?sh`!90h
zk6ixG@HDeJo^+t#K40%aF)0_MB`vzB4l_vjJp`?r0ED?5+(mVJC)Av)xbr+qi1+~q
zFw3-0wPfn@0GLC&{*yFPgTZeG>-_<>trI=;npX;lSK6-}E6BA3xM~2hW&BZrVoey+
z@rZ@hV@*MyMPueq0deHPXDRzXU4s5|+}0o71$eY6WFU1tm2B8ANm??_u~ze)N_;f2
zIO_Euke|@;59F^VjoGVE8)4^L8^_P2m~d?B9#gR0b8ls?{Rp@HO9lW<auzS5-03P|
zH*dIk^+Ge+*3?HZBpPI2CISF3@a7+etqF8hZUli14CRPj%A1gCWed8FW3m`o{#Vd^
zXTaK5&91+M4oX}U970cQ^;AGjFO)^MGl0s4{+Pvk0iS>ey(gnx9DRS~++?&^dsM(z
z`o3azBr;uu&8;&T&BipUZs*foOP#K1ksEJ_K%h{bx+rX2prNIq^MLi)4Aq(15j6Ro
zO05*fA&>`+JOHlXpmTW@5~tJiBLlZd@q;#eBpQFz+}{-)g>`$Q9QujHuz@@=YTnaJ
zR`<HKe<bD*SC_@egd?O=iF)AJkY3E4N=WX{Wo|cKDJ!W)Z}FD3s!+09wthH6mR}?t
z3CY+fX9ZoGaMS;r$lB^l)>=d|g&qzva9vz+Pgi#NnqbS^R-=ndALLbSgh9o({dO<~
z3v#0M&1R~~7ag1__!r(kWj1;a>g?~1bsfVdtM>0~<>cHD5^hkw>b>32#SJR1WSBWV
z4ulob$OgNJ3rN}PI75h(2~6OkxOl;$%N?;ZZia=%t|eIog_sB6!1Kfl1D?yK<@Waj
zz5ks|A6({l0x7HDf!prpzK_#Vc*SxdN+4yky>thU=`Z=Znns=F61G%x*;)^*#y_Gv
z$Y_u|zmm|)VB_K--6B!sptc^?C81svCW@^i$K=Eyu3p^~sO289nl(EO32?rV1Aml$
z|1oqP1X`@8t9<4SWCrcHt*>%g&q0*5_2aYdBf}%5r5K)np77uULYPIvhYw#CVG!l`
z^a~fva8pQ>j!29E@bS&sYTXcmFAUgbFeN3@P~2@~5Y)iH!*`&;ozT6ZV`^ViANTb4
zx-(P|w?hzK&OD3W6K_mrH)cKE%v=3`zJ4~58kg{J!9Ai&M%!FTg-{O-v|Wh?6EQ7#
zsb!bl=K}J&tA$;4_CDSG@E;5SKLlhIfJ`cHt1G(>QhH8Z70YvqH8kzk`FA!Eie~x-
zxKUsm<s0!e2cN3e$894G{nNdT6?nZOq<xV~39+I?Ux;#m$2ZS0apCF*xw`c<V*Mm*
zsF6-huc<#m?9A|#FB*kv&_HTL^9PRXCn?gD_MF9&WEU5|xuG;lvvcuUT8SIkU3Jft
zCv0|oW~cRuove+*a9?V9ruP84RL##M-Wm_R_qO^&YYaVTy_)XqO2cXk&k^Ktu=6De
ziTV;C?^Xad1NL}RQ`4P~Sv+9*Ehf)@Y5^`J-O(j+o(5)U-RVps^>%c0OvF6V(b3@n
zvY-9PeL>=DtIG<Qj@gED#MygdecLa$g&~S0Pc0-6$KQgHBw7;Dof+!t4FWkVw4p0#
zZG7XevnY!E>h?HYW2R~@#$w|F`c0JM+TuIWSzDDJc^Nv;Vi6sN5sf9l?to9FXQds;
zmESGh!*1}gbR<Zr7Y1UMN`-ae4ZMkP;XQra4aju}dU<K5g%eiv@cg^WI7(n32e8eS
zm&dXYe>-f|3bg;qcyYrcQ`G%l;m{}biXv}&l2-~%>M)+8nJLM05L}od7k1fkF~iYR
z@@-au28*9B9L)y$#q%fg69xqHP^}tCPUihf@3d6z0kXObM4wPg%kc~N;e*)qaUheN
z;K}V33+A$}34BCWfoD%EAU!k^Zc6FYsGT{k$XDP~gvr%*OuAyDZK1#mC~*HQKy{4}
z1C{R6!~&wc&ykb<i8vpY!VZsI@^E^Mt)tK!iifhK?cQ>wh$MF!u|Pq#dCd2zDAdHl
zpOlj*Z{cX>d<kM#IJ%n(=KJXlwUG7w6-iY&3F4gWOt0njxO15^RhVdm6!CJ5)~UIP
zbDnxym7OUK0C!>Hb?eRnZ5^G1zKtihZ{M!Q4>LdnLYt>b_((Fgot$&z?W@{5*A;k!
z&T%s9zFp73P;!Cjh0Tk1^EVXR#x<l`+1Si>;fJMZAd~<fOpYrfW<FEh{JL+;+v=ja
zn20KvdUt;LYvxVUCo(ixaH!RppI|EsU~8>?pMn(f=j5s1*s_K1{<O`JDj9$EmHSuX
zEBkdQ_6NF)(4i;?)zPke8j_7^TsqLuw#=xj+;80AVK~?&e#<?WUqd%4*lJzRB9|z$
zODZl+*VNQeQB~{N4OQ{rZ$FO_s^bbYB+M{=qpyZ*0tP(mU2ldu?fqQUL}yTjgyfY`
zWxWlJ$n`~aqsSc+IZkxcWA&v}Amv9-?cUyOg?gy^W((s&?O4a=r;^O86TAIGffNV)
z+{x*R7V>c~9tAd8{IFiP8rA8B$K*Nr_l7IlKt8af5rf$nbUAddG3!FqG;>_J>ZDxD
z;X+I)UZXD(h;VPoa>tcVkKGZ!c+v4V6O*WppBN|exVXb}={aQp1092`Z3pOSo8tJF
zk^yI~*pdhnj*K^$+N7c_i>*Gl)F)+Pyefc1xb5QScCwvVdRhuCovlFcxUd`qe>>fd
zsU5~JFzQ!K*=06rafc2>?0=P?46-0qmPTg2AYNVgOvgScmkA9c%xDL$Q~Ta&-o?kr
z>&9mhE#N=ap6l#qll+|JLCdE#aMgC{AKbB{`ymFJxXX}c<c<ehGb$&8;(J$}L`HhF
zq`QF0G4Oyu@6gcA*#H%U1~hH{{ggtt8S<!4$n(+Qok&GM>jBoH1DtlA$PJ+1UqC^`
zf^BEwyD9RvniLV6PN-K0$iFaJmQ)Kzu^Qk!{c9=pcdq@>g8^$m+ZMoSy_ovq;>!TY
zxx~(M0RkwhdO6;bP_q=av9ZD9=I(xT)hFPttLy47Bodj{JwksBQ>3M#Y#jksK4Db2
zX;i1YsP0oR-ncT*17At*iC%H<K>)9`|06i}m3A1dw<Zkax6UwM1~GpM_6D+~qWKb|
zfl9or6XQLWfR$e)qGjy5Q%MTlSAb-(2=OB1N{f>{^s~RQH=!KQkK2EGSI<#QQj-5n
zq{e|5F+5u*0e?5;YL{J6{TL@X^Y$C|z;h5_>#6shZiyTK3Rd9Se#MpKRJFjJWA%LQ
z#UsW6bC)wPngCSRQfpm3o^Dy;gjIDtms&E(*4pu!q_Y!}mC1tcPA2OD@#&K{dMtgW
zo3RE1C6(imEoBF_B5u12cT18yU6*5nt?}yKoyFpQS1N$y*;IaVD-b^Xj2(^eUrtYi
zj$33bOrWLAc_K4LQj1SpSSP=trXd2HeYziTu(s`dLK9BIBkQgznfI3x(g!DWEp|hj
zE%dB6M^97J^vs~gyM2ZFZQggy4cVpH@J8G8?_K-y8|E6u0OZf)H6DAZ8=~4sX_3*f
z&x?zTaU`}%bj@Axse%!KppsgE^RXTgp#19o001&UNC8mv5raH)^st7uTckAFdp$`V
z5oC@_Y2kEf0FaU2EG>joFO%~diLdhZqjousrbpHLjm7I^SENjWYpacJekq&#_)w0`
zQ0`m9L}GD_>IHEZlHlKj-pW_Nqess-=h3|CuMl9jGlf-_ANX2&w`TU(YZ_A_nr6DX
z-L*(=;ky~q)-A;-YZWXt53Cr~>uf)2^61f29&%10%KaT>mx~`JA;1POdG#>_cf+*w
zl+`!2tpsehYv*u!l$kLH-=<5!W?aWByJfeGhJQ@~)}LOJ+Fg)t?zZ&kD|Wa09p16`
zRRq*Z&Cy2no<J)_&;l!|u?IN-nR>^T2rgfwtoM>R!hdTgfikV<5kW(!|J!<l+FCE5
z2;r5qZ3uv)TlX7~vj1}&zOEMycU1Zr5towTk7}^lqDe^!@vuwPuEB)d8SxOax%bH3
zy>djIR1l8kUmH^vnNz23f95ia?8~g(mlahdghcbWP}_fWE{HH*saVX1W)hBoi9a8O
zOr*yq++TK&;ER9sb0E6QUwA}Xpk*;iK8?nK79X&DQuU!ZJb>|Sa4y=5%wh~wn|S`&
z>K>20i&NvV1Tb;7u&}UIIl7~>GvM5*uru7&4Ku#uJ64xJ*~<>QR`rnUq#W49-7^2}
z8V3)5fY5%+j&vMZn#>y>Oqg&9v%vR^zb$W7H6PpkwRNd-tFW$cm_+&?Lwl+zfo*((
z(*G!EGh>1$t+F&<TFu93PqG^u0K4v7z9D6H-d(qQV?yr2+n&+$(`sAyn+c{W%KPMM
zE^iV{g0{MTcGrp~<7g#c+fmcJ62t-I_=A!5_#$Mxu*GGdII9ex8<1(O|9!1RKPAYy
zK5N9fWbnn>+S;a<ch|>{ABBW1rWLvu0VXhQ$%>0L6!EC29?wa31KjE@+%fzx<m}nA
zEP>KM9o}10*!dD2N#0Xi_rH}iV||yZPD1Agag$+PJ>*&nK<np11Mi#pT6pvgYXwjc
zfwtfG{O6T{D9CSNYg8vD{feZS5!7p^y-O;+%&nI^yYUW&ZO7JZP*$HOtlz%-ds;5Q
zv`EDO0aOXL=pQS2T174LxcT9&D6x%#w!9!AVUg+LVt@<#*Lsd$2fA&m6V&OFYVqNQ
zvYH^Laq*6MvjM}_Q?1@h33jnQ+f`G&Yz7tpsPUJ-I!5Vw_Z&sjB2})kt4NisAu{XO
zl#1bYf6rDGyY;AwLoT9|Mx7KNF#q9A7>EBOyP55W9WGG+l%aaDd5>z-T<Y&3Q_<)Y
z#=ld0x2sWdMH%kd&}Mr7I$m$!c1(h0Lk>lhS_@!V5J;K(tvIb%gf;7qwO7MXlAZT(
z<H5D1&t|8~_79xH5k^Q=>)E+CN_=i$;zrA0bT^R1p>i-E+by@=Sp6~_e*@xY_4945
zrmd1RgggGj*8gMnax+JS)>r-Sa+V*_>;2<3{-<<Wl-1g7ygcuUZx`-)q~yJ}3)Mox
zI(4VYrPsiDlEf!b?|zrD1k=;9b^tw~@Ya7N>e!QVFYls8_?xr4znXWBJSf}S9QF3O
z?m)1%-s^6k_gQ;0;fr3P%HQSOP01_^hy(y^Yko?UuPAaWA9kl>#;J1kS|1xQnD;ES
zDw?M2GvWm>^w=44j!p)OK@FHI0Zcs6NS*)Kb`w52=F`|)k@mvXd))Bx|Co353!vp4
z1G~Em{ArQ)qWb6)Aj+RS_qfPhd|L@#`(w2}ZZuGFla^|qj(KIiGZcJKX%b~3)mEdy
z(!8fTJ1fL!;oGtGxr5^SyP(7G<!?fa+ICimp{Vxp*Y_@!=3+@I>rs2IT}NWrwyU!;
zmPuO|s`s61M?@aq$dOw6e)5Q(wx1guO&h@b<>F_*;T>@QUqwQH7>@tnisCoHM=AW@
zloEN$&-L8x(v%p-xtRoh;ZJyE;C~C?=UeTLv(In|Q#^{8jQUl^=Z8+_&e)FnZ+_if
z+mjIoWC~o11weEG&<<fp{QCQaMgTrdc)1*Xd80f0thi*nM;yj0JWCI(I$N`3@rGR@
ze|ZU9X4}OL#D-W?e^eG5cnn|)GRAK^i)!!GW(fg!nyQ*{memXJhHu961B-{sVw8qe
zU}b7i!gk}B50B>Jeby!#<<8rA5~Sq=t4N)MO3XNJHL%ZdF{Nu2agb06!|ssZ-E2sh
zRvJg4yf<nj610(V0g$%E=)bj$@8Qg!B)C<uGRR&3oi&x^xbA777<3HCycJ_8(fDB*
zVH+JKbDU?}leK0bS71K?>q=EDYa-WSfN*_ya4=DdcplOyb@5_N9c-f7ov<S;QH~$i
zu6l#wM>{B%0waD^(=EQK`@L}m-O8-&-*dmYJ53tApae0!H?l_R-h(~HAAG66^H^A$
z&P9FSuWaO(SzHtqIorvbM)c1SoZ<@{dDY@jTZ8{n^Q+3+tR8KCRfXEJr}BGe1%cLS
z@mzdDLL&!j=v{9pEhkPI8^0hWg{UQ0X@T9cv&h0l6qV)TrwWUl)@$G~sSCgB!ErtR
zCczSvq_ERBost}-K=Xs?1#qtYUpaG`-Oz{b*d#b!MaKFeDG)I@8UWP#qI<}PkRGeW
zO>n*Tj!&D4Evy}vf7e_gNr|+Qt2F8Xt$N0A?QTa$)n1AaL;bXSgzBY^i8ZQF==dym
z@0zLgB611U3-GdxYA#hI@tZQ}6yEQHxB>DX1-mxEbI(k6Q5SqF$p$FWHdCq$y&;$j
z)M#IYXp6-3CR{Snm!RdzBatXphUd9jO2PnIX9;aadvos`fk=hk_|Prz5&^-n!0T2u
zLb4?EM=DO@hs`3SMZ0K}%!J5mwHSjD$`QT(mWEv~oyF29%Bw8ZrK$Nj%~reWZ+5db
z{VwpzwX}n|x$yM#gA$=Nsl+qi?U%Opf9`fxviE729h3@RA<UQ`SkQP;ptkS1fLs9T
zTiLXFMvAKuVHJM+bgK^TTk|1trAoUF5zU=64s}4Afzp_orEk>do0Wl{i4%K-O$|a(
zp<@Kw((38oy8tLSmg}Clk9RBQX=D}<9KK8&NsxjDB@P=BB^Qo*E0-XHhV~T(pTmqH
z+Tc?fj!e;!(o7N3(XsLIk`t9&lh@2nhgrByy={uV7{wRV?cN%>rQaHVj8+gffkDRw
zsP4@xdEGgexq)A;P7qPGp%s5EuE(W7RqSSS2ptPT1L<)Yo(rUDMk(Sb!t4u=I7HKC
zJEb-q_T&{j4O|2ZCwRC>0jw23xncLwSmtWPMEco3YsRZpI2m__nISsf1E^CD1Au9c
zWN0)JY~4v7i`@9Ph#{nimQww)t&oI8jjX7sXy{5qj5BuE;a>MEwo>X(^9BYf9mgJr
z?dSYEOZPL4blTr$2?)q-Wgz@XY2NwM<HvfgZzGm|We5^q_O97c=D2$*0@Ew~bAvht
z*<qp{E;`1uaNT*Cky0|WV>O9X;Hp|CJRmLd?z{NW#o}8=`j+RA_Z}1^(<}P+Tpx0U
zgqy&Y{9zqZk^<_x@uPy<`=4gy!w+W_tx@;5fSv-^>O8-9uKP>Xuj?<R`~SRFRY}QA
z{Zyy6r`$5$hGm`^ZNq9bt}LaX8Lk|x8U;!2gyE&Sxz}-e%kDH<C^Y3Np-)q2*J+*J
zq$O;XYH;vwYiw+&?Mdn;bnhB@@Yr)pKO#qu!9Y)jth~HGA<cVS_YLBAN>tbchOm#g
zfBs!n?t-*+XB8!Mp@wIn#w8MCh!pX3iEf={qXsmj0N$-Zh!_IUl-F@8K*|!RN9szH
zwoc3nRmG;50304Jf!y}}`<A~7zj}@oHfiZ<2F1pv-+3v<J#xfYLUpam7V1ar=V4ky
zF9j@qjdu$)t~cRnl&!7PlN2Gw3`^{g#G`*jOh@$$V3Sazi%!DGbVEedcr`g%7+Nco
zyp0i;5*r;qDBii99|*&!ZU1~ZOB#uCk{3KcWDD!a`LryGUY#qiS2x=kcDt+Y`?`A<
zw@$rUu}Q|<%8J`0etLl2jgEYvwkZ%O#{sz#mFbf@rnU11&CH$udV?~0l4_AYy;jzv
z7Z9+udVGfUE^zFDgG<_wU!7;~%aMI^xvH7kz3agfxjS(zc39+AU_SIUD;El^&ZGPt
zKwLVw9)N~x+LxQ8A9u&9$^(Zls<Wa2*RrNDFx`?Ej4{LyYk5xtM>$US*c;%Y<ZJSQ
z8ixy)E~Q=~egO6ebQViX;_{2;DN%46fvkGL0pjbstq;j5E~cfHO(B`W54ZOA3pg$r
z7vKL?Ic(&z+_dO}R)y%FPwG3{SOoy;y^ZKb^kQKrX`->}BT2nO{CMM~Ml?wizwGY0
z_~^78xi98y(DrhT)0}VnI#n1V6w3S#eB0DoIaL#>Hd+orR#dj0hU`rx5oS3v!y6Gb
zFUy?|$R%rb>(p>Nxn<-V&-JgzRMUZCKH9|^K_{?cYhz>4*KlZ)up>J#j1n3ISh^aX
ziQ(blRbH>L;p_iN^2wzlVo=Ds(;BHk@f!Wy$pP=`w*RD@CDnblXw3W^vF>Yp^3zw4
z#g+RBuXc(=HH9ROaItvmRLYAWb#Y|LCE|7$UINkfy={0O+s&i4y=4HI4jh?J?_QyL
z8FT+A_grvAs__)$Stcrr<vv7e*x5xO*Iy14#2=7Stwj-|J@V<h2ecD=7M^Ka2Lsje
z4#_A3_7BF_OfFKj3XBiuoc(&C>+VZIF(JOnZNpeshR~B-T(a*!Dk!<UHjSMSQ;2wy
zQ(kRRct}F)di?v~bKe_sjN{{Ty1Lx3gw59K5ZSKul<_QIRe@--f;=Ihn?T+l9YxM`
z5$g1K$Gj#4^d_v^XPi%0xLC6M7$1&jaQu1V+~UeA<2iv=r?IV{!>+Y@z9o(BzdVET
zJYMGrtT;*U;C?tqk^SXf?gD;U@U>M3KXJ`ShcEP895x}+pA<*Tj=C8(x&(KLXm73N
zg&iI|MaZo`RcXd<bvW@%wmbFKbhx{J@~gsKjFH_f!NzHAHj)P^Cb!{?UZO#t@)ONk
zg{U`c-l<vdoC`&LGEaOF1`$1W62`8+{zy13?!&gY6max|ki(W1f}t=kFDbTT7DcaC
z0vvfWn(Iz8W4}?Q68@2#AYn#1)AaM(8z~1Tr@Bwo)!RZ%Yz#_yK-9Bz&+%~~tWfb0
zw)8}}n^`;B(n*Qa=KyaOwD%@3_o35f^V&B8G=2C?==05b-=Sz_0Vtx+Qhjj~<h}1$
zD<y8}hdH^m_|j<4>1P6K;?8t)Yl5?{#67Q#S2;p>=TR>WrSJ+qN-Y%8cqvZhE8Nl@
z_APqy#liC2$oT#3T=m^`_=N0!5{KDvi^bM@Ji^Htn}B6@Hd^v0mqNY6N$n`XT^IL-
za&pFaxd-LN8XU3t-eIF|<y_s0Rb%dtlv0C>YCEaeansmt*(a@1^>g;;bK;a(ud97?
z_r7GlZk#uL;zhDzoYc$p652Y{o1$uAeifh9@tVPk9cV={K5{&;YVRYA;2oESr<QKU
zwLo>%SHFs#HGA%T*gpCr<7OU})B=13qCAqQyJBc$B*1lJP{6pxX{hw>7{&n(M<}G}
z(x)B{z$|Qwg-2Z~1X)gGNV`{$#x*@3a-x_91B^#~h{u`R=m~+wCvC`zJ0j$3XKpV)
zI&sXBWGXr6{WF<Oy@Du&t(@byv`-dSRw;B|igkr9X)PUEG*d*)Zsna#*z<DlXhbZ(
zlsMR^=cuR~_j;_fVNWv49q;RUyg`c1{m6MvTa*2C3>bn0L%2V;tRL7g3+}=m9dxA+
z-$_+ib+ux;j9#%SCw+C@^$j+-7)OHD0XvCe(?^4go(zFDgXdnHsO!@F-CrZCZ|_j(
z!}tS_fQx<%M~SZoC>QmLs9WPP-PIlkdCG;a_ICCkz;|j@MFVY3P3Fgs4!36etgalJ
zRo|XyrfjVrzR_^F_wDbY;4X8PiTe~36o`hNV5gJ9rmIrBfn%B;BPbL~5(<>MxE`HS
z1{{>Ugn8A|&ug<C8AW+{c}@-v)!-LTc~@qDcb4a!>wvRBuGQu)4o9b+&2}U-S|U6E
zl2PjF)vGP8yx2o7jK+07uD;gR)A#cX=JS7c8Gl;~lh^ZGKMhZpMc2A}hA!<#PH~ch
z!%OE1Skt{Eo;oAYiryK=5GueQ0-J4}Nlb@4THO)tLJ*?~5SjJPx)U|YA{cPuT=++H
zKORr<<MF$F``cN;7d#<C(+WW%F>No*B`YOftSDOP@V1KfwuX<IOL`ys(bv~kZV@;N
zWc14EIOw5;`T4_@6%|)8kD6aGg*XG3y1<t+!oNEKlYX{1K9djs_)7=02l<Ha@1M29
zrtj^Gg|pLngM25sCfD$IJiQ^xeESxBz{to5dsy;Lwtg<!tP)kfu<dk}iaGIx<D;1A
z#E&08nCpaIJpDf3UjXIlocS$!Bsh}A8guLBCp0=k`YqG(f&fO3HvyqLJ3E@e<MYH<
zw9~RjjFH!A^94in8zcMA*8RCh%FZWE#{Fp|>wf!T^gr$Ci}?H<x<l-h&*Fb(0m+O#
zX8HG)JNwRx_Mb*@Vm3hC-=8NnE}Z^vO>6&G(-7qUM+K5ss?T_iw$wQLjlI+RN&<vl
zSHQo1oo=~42G`+x1txj?)e!D1vvCT=gST~@Px;U-=d;<Y*OA&^1aADJVE={|aF?-}
z07nd$wjePg5`d97S+TENxtD+?G&VZ+=jYZ|po@y`j`=Uw+a1ba73>5KHUuT<<~COU
z_REnaPp7_c3BFi<bwZae{g7mrZP|eLz|}Z!+{b@v0b<&C>33NZle%m(F13UIF-cqt
zP<wKOiM`HwZKh36<9_*Jg_DU#7a3DCbaONEi;BjU0s#jFk(ZTya`WiG%M-dF5fCFC
z$1Hg}S0<@5Xe>fnB5GQ_)it0sUc$_az8e%|XkoFpigM<VvNUHMJ#k|zzs=&Wwd~2w
zovI@fuo+10?0wK8%cU*?nXxljPQ2cxBYrJFO<gAZV?m8&@91a%>(h%XPkCDzZOeuX
z&fI<wyiE5Xm?z{DSq=yVc+aT<HMj60z%8hzbg41#Y95{Pw>bTs=c-fH39FrTVggHR
z>Ob>KZZQvg1)N|+gJMFQuBNEcA1yE}I`le3o&L?j!U7ZyH8V?bw70KfK9_;TnqeIK
z8G-?iA<^WUbZ5?Za`29bjB-lX_?W||Mh5%<9^aA{HO62bFcG+USLnjA>mo6}u%lBr
zvGDO~+D`W<x#F)EvG|c_`q}Kk0~yvW=4)yh2h1mSYUa}YmlWSViCZe-Ya7!&w6gJK
z;SMzL_Wd)U;gJy`EoAHcGZK*>f8_)H`|qfp{42D_5yC!Zrl#YTKHGP^+4L7akI;P-
zt0}3Capj$W`uGMUJXi>sR!XowD%eR^0i63^I2#NUZ%2ooU_C0BIxwNA^+yHuLrV-l
zP6dAnngveRinn)kNF5d2r7z}rDqs8rUubeLQeAlC%x#(DQUWAYvxic>^b62aEy6U-
zfdgeoRQ;Pbo2#470zv^zK0EQ{2nK^$1sd8s9CW62^;w*_k&E~ocmQSLuY2?n`Y}au
zSd}v05*7pXal`_lgjP0gYR=t}5U<24%<s}csu!MVO;BR}oNhCV4&0bafnM<BeKum6
z+##w?X$=HI$x|s4UV{*Mgx5!#LXF_upLls^CwPkfyu#s_UgBuB{KV+S(v7(9_0A&{
zZ0L!NG5uyzaM)QMsp{>yqU<PZFeF=_2RP9|Z3a4b@QK76UOp2n7M@J2%04Psm)Tn#
z6CATtO-LW1eQ96;Uj&mXFJcxval?KI)eNM%DCUxzeiM9#Xv_K%fUvnY*$xCTe3R8;
z;oX2`sWXa+i`TLnW87xj<*or|B`{*)AEiLOA^kvwI03-@<*skZD!@i3#NbPkykMZ4
z<(a%a_U@c^_UrSA1HKD6*&Un$Eqz_QLikuQQe))F^OEA5b}d?0P+t%{LSJLWScv+X
zg2CE|4DS0Bt%TE|Y6S-lqKS!Xn|UrOhZ85`yj-m>eja(31#H-o;U6bjTm!x@4wVT&
zD_txczq~l6nbk|I0YbAB72h?xV7PaKNchM0r5zy3Ao{SS)TEo0JpPv1M6KaR=jXSB
z$UqtTCc`HbYCqw`m)n4SB?38cRe9gFnc<3x3Qb2x$DD!we$tPBcE!(wIx7u7RuSZj
z7cXA%^z=+IDm11$L5~1hKphuUVNTT){LFK^#~sK8Fj9UH_+KVOuZz9{A{t1w`I6G)
zX`pPt*Jf$7+D7n2N2Zt(VyM(ckM5FX-4+t~9f>!|DJklQcCFr%@8tF_+e8GysaG~W
z`+H^VtP9D|Fh-j8H@)=Lwh18Q6?Sp*BNjUgju-X09vwHZ-2cKTy0mHlIOscpl#<m4
z%Qf4H`mG<nwpi<K1(L68diaaRd7&`XMr=OWMb3V-?}_O-?|lC%uWm4}5W97^ch0-@
zv)M<DXGwWs(RJSKu?aeStw(z;=RshWM(Mc2odj}pTwENT3e?D`vU*{Az|x<z+7=^9
zzsPv&n*E=^_@@4ssR9dh*vDVrZ?KGS?1c#?bXXiyN$j#kANf>RILf1?dEdiZGldo~
z*<49t{3zzf_FQWv-REZ*52Iff3RN=qf>J7vT)p^#7U{2kJ<VtqbnCX)E)GUHe;x{0
zfZj`dq<SKv=HRME@I9H_wd}W)=;o7;M_JUzE~}2*>m!`Ce>!)m(e|-Y&PPBnuYLL_
zay6n(Cmj5oRfxK~5(UD}e&m1^<nQ_$;}T_3)n8l;sSl}KFCobm7@^0HsvKKX2F{@K
z@t=@(z-3jkTdJ`f4h}mls>bR>H+Pmlq9RQpN}cVkc6MoCB=q4!IY#4H?d<MfzZy9N
zjXy#EIvc6*w8^{l2sV}DPW0R%cGN+ye86<*wQ_q8yyx?Bm)LFr4kQmaFvQP(yQlO<
z3f!w4T~N>gh(`JvP~&}<i9<4#?jBGtZUSs3k$@`Gr<()6w_#BqN%N_I&Swk0V2YQ5
z?(fvubtbN!Khf%{QZPLT;JuEJO#M8AM#CdIe}=-H5}q`9mrnkWIz8*f$BnliLZKNn
zCo2}NtDD=a2P{F=hYvvY!Rqs-M@_?k>66kgo7}(edi&^<#^iT}sEoEJSAZpSW)ciw
z9X!>#+O}SDULIJ|L$Y#ma)Gtv)&E80EA_MQpKa(dFbY+kL^GejlTXiGrsHIc-7F<J
zeQ0P1ay@f97u0yj4J^zV#1dcy_+nAO+?<V~O98~74s3Lrn)l0(R?&Z_$AS`o(3-y(
z@H(P?JjFFNej-mFU5rx-9INqEKBIuOErSB16b%2k!NS7Q)uepmXlS8j{SM}1r|}<I
z;3V@B*-Vskiw`cZOx#}dHtri3IAGYiJ1{-uw3+PzgTbsPhre9?QNl0iYj39a1xSRT
z4xza1C;mKM8yx+1=C%t+&G@IWY)!;AR#)0+h2LWE0D6)d`+MKRp``A*<$6nV2st`&
zk~7jCi}++nEt<U<%>A=1${J({wwYKwn7^h`lD5siv&S6_eC42^cp~$4;Ga0!VZd7s
z;@i>4m$UyMV)bGA?P8gU=8y=v(Tuc{=)_~=%k)z81dbBDzq_M8TX>S|#3A0}qpVJc
z8jh5oEkXSAiRd@;&s3Jl8<Q@RuqMOz{99KcrIopN|IEdDL{rNVwO^Xz&T+Oouy$nw
zjO6WW25;w%ghannaVjWyetaM(cV#2=IMjQ*n>be^ds(20)rZ}lf&Xv=Yv(U(NsH;U
z<GVah)qflcz$8@E(nIOeLCL`>A#9Y(m7gQz6RTO~R3n0)LmY`Hkfm4z+2GOWwns(+
zZ>Mp6pqJ8}3t!!sR=A6~wpdn<S>2EtV3{qe>^<XtWZ4&tkyeVOPYN=(gE0P{OIC@*
zU96mua(6c5)O)tFJ(>4&XDXuU$iV@*?k7hG1;6GNP;J#*O?Sb^+PhiBoiZ5Jj$I;J
zOFCFVCr?^EW}EhQsfB(ZZRrvSXDe!hH<948p;yMO=B_4gu8e`(uqcX@lfa>U5HFVE
z&i#9Mpt(Z@L;Hb86sn5@%YMu?xS;sj?cli=Y@cmj(M~Oj2OxL;e9VM^w6mX>C+|fc
zxoeb|>?k1Ejb!$xUkJ%~HwtMu$;lW1+7g&NJek>~r))tMgWy)6T1()@^e4BS^t^;j
zx|F!KfZxd=2O%G(#)RB%I@=TtF&r8n)PYhDHPWNboA6ON-seupY)W*Jw2{iwP=<?I
zr`|Rm9zSwPDnNB`l|i{Oq#^XoP95_ndVW#JPX^>yvJ-N-2TFHvq|c+q<+An0+zBh^
zsg1i}_n^|tEgzcXUMeh!K#JkNK4g3jpm-$%x(9nRm;iu5NS!RH_^l*7OdE(jx_T?)
zlnz6XvTl7K=;4M@qA?TXkcT?*>&Q2cj3*1mCS04+EpgzsZa|hGQd)OC!)`FRdQ)eT
zqe-oP-Pcbr2fHb4t2xpEaXDCiD|7*VnaAg-Lf8|V#bpM?@p}aP#O8_jABsKu4;Ru$
zU5M~xC<b`pnzE3H{*(jBML44_5jP<aVjZGR2N&{1=q`WA_z*yOWg!jw2WmD8>md)5
zx;I|#?K?r!t<L3u?9N&uo{>(!PwRhISUkq$<1Y{xR2@y;bD)Y^IZSy%E3a<!wLa~1
z7E^MZyixkhOJR||^J3lpnK98fW=sT-u25ddNZQo?B1_mm&^D4m9tobQ>D|Wfj4=!y
z+)uMq@6)Nh=2olTbh5s@HuT9iN5ts$%?(dwbE82c7Pq>`*dq1z5XVVE-Riy4ZZ;id
z%#WpD!KmJtW~KUlYblb_z;U(W(5uaRLp;dG@%De{66C9n>H5@#y7QjJ+o(!UzxwQA
zJ<lQU*tL0|l>sw9;&KRG#GaJ^AwzO;^PDe(p*I^DU`K$iq^NIW?FVxOoNLu?6&X{+
z7c+7;_1V&5e!@RcLyK58?ciFk+<zPcn=BK-0&h8dGC!66bwMY_gyr7kxu-kbP)8F<
zOIsl`O*?+y;Ryaiqa!}w(#_!KC)trROV69C0Y-d4t09!nJx?g_v$DC;DLj4N^hj@+
z!YgW-Jh=JY<QUVI+EZIL0{q-|%T?Cq!M|SCO6B2TBl9BU0GVIU^?f6B(=|xr(ZLl}
zQ67Ju<viU14r`Zs#iI&UD}Jo-Le3@B*i*lpVuU!Pv?li!oKRDZWr5vl&Ki{Si3a-$
z`DriR&@bLH85eWA^vAQ2n2DC%p0NspY5Q^PVmZ^l0&Pg4$Ep3#7aJ4Z7f7lv<h7Mm
zAlSCC3+u~Mj)9T=De9hnV<Ys_QKa>nN_}P_L+R6Xao`Sg2gK3r5-5kgMeAL_v@RXL
z@b=v3ov`#vqJO-O^z7`H{YlGVr^BT$2h_8-n1rZqkJwt-enx(a)nOR&mY&0BY@V=k
zf7Gb1O4x6Bm{sCOR(Xn;+VCbe?A}mZdH!V~Zawuae^2=KbycQBjkT7p!-ntr@JC-d
zGp+C-g$ds8zyVmvpId*#rths}SiFDssjMpDtC}{ld534x3weq@F0DHuMg^YFZQT9C
zFwv`mcMH*E6g;LBxuG^W{$*exWaQQ57EP|<(H$!P{>krWyP<k(#buw0yFmLXPrj|8
z{lhSg)*G{hU-q9MOG{*wzPVj)d)!|c6ARy(IoB#y4fp_c<G~D;@^u`F#n`}S?}O#=
zA2~z5t$<dZPHhNi%@0=47d0uS4c8yyHMK`vf}Ho@fnTz65;ozgNd=!Yy@UlV(@BCX
zNwRo!NE?{xB0;8nxcX+A8DgT@aFYJzKrV8WD8Nx+7aS9O`uOU47Hvd=$QNEbKzVGC
z<|V{jB=_fKktFITgU-XtwM<m?jp2){#*YqA=cA<l48~Jb#FxMC$TfP%W0||9j+h1Q
zegecWs{2ULA(b0Qt5I#FM;*hKvXzuy(BzPn%JtIW4YQY=!&-)<{Xjv=<5)J%_ECm4
zew3hzAoaA>%}0_fP1{W)zf`N0f0XQ$=3LG|99cRCIR&S8IihyE)Ny->j-vQ6_G}3{
zO1?5z6z7RwMewx0QE2#ML>jpTOlIDa5>EAPy?}ysSI`~YAKW<=GunXAQ6Ki|&+zdt
z4f(&=d+)HOy6#()B47h7AV_`D&_qF`cV1C2RO!-1x-o>_A)q3n6b)6XN&t~6y##`y
zAR-_EX#oP#q=w!C<gO^b-}k%soO92;&-v?|FMse*!p`1n&%M^1V~#Zj<m7g7lkCXN
zDd}gMOX8@~(@JtrWi*A3I~0s4D{xCchjftM?%|E!DF-&aO&0M}m<{9l7F$X3sZswO
z5GYC2PuffS2wQTK@=o-P49mW4j)OacqhghKPm(}!oXMq{3q4=E#!D>`X52UfsgT(*
zSH5)cuGzoAl<7);h6>B)e`<slBBjJ5HqY!xdPrpWS@-f_K7iygfIQ)t+j%#3H)QTU
zvw&F*UcC1~qdr8$|9A3+em84?sv9Ba^@KUEU6?vL!i1!W5%7ODIM%oi;qA!{iwJd!
zu+={JP!7*W=ilSUwm%5``33za(XL-061c2E=)d8GQpu+n`@Cuw3wUCfKbi&0JpVno
z5O1mEhw}_!D<9^{0%Vm>{0oCTK_54|Cpnzt^K+*9;Jq&F#|7S#;;4DRD)wvG7->yG
zF#P)AzaWx%lthdAmSWVxK}rfuXOVax$iFmhd+#8|ptI<BevXUGd<SQ)cGKjwyP+z_
z=LF}V-@l6ftE_b3$V{c_1ubq3-$nVo^I}Qz^m&5WnoB(T{VKO!FaJKc<b9)ZEJp8w
zW+zAwtgiEMhgyJzwI}Ws#IJbKBiP>-$#^2*Eb;bjpRu`GzNkN+Z#Q`J6vk;)-Joi2
zdEbwv`p)6;gDf7GEFFJ{7=DlZvYh<WOOendMeRpd&AX*^g4y=q+@KuYk5Hp~ouW22
z>ZPwYSNPV153XZ2_l~mt!i8F~fj_r_gFdezbq%jVMJ|54cknJ$fIfKmvciLnJ}Uni
zA|)Y^@zj0@={&db&%yo%v!@DGC3U9Qoy_0kj6(CUtn$H9L)F3v)a{K9kRvt+$HZNx
z9Dq}mqnfe$P028|BGo;*tIU1rHXqr4-!Am?#lptiP`XBZXkRFSRwVS|l9x=M;xWwG
zWX;lQ1DYqPqe{#|M2~yAwsX<{EX}OE3?YM){eGi+;R~cjub1z%Qm^=Yt%qLMS+Z6y
z{ewc|Vm2nDCl+%<$+Xs@K}u(3k8b@0>vEPExPXf5^9Lh4_&v?CpDehPB|0rli@kKu
z0GqAJ9s2w1B-OPq%@ajkSO&8xndzIGR#x?phf7`7DQTddMfR=V2Jq1ANFY(^^p@9Q
z+cQfvOKo2Ad+h+tgU=Raf%2~7Fkg_&L${+#EN(8+sr3zYl>k9vAN6hg3efzCM#qCE
zOdq5}SgJP+l?j*6ESzf|Iyxd7(+#1^s~f(0SicVjAP5{NX$DSw@aB7XI`l~6-;LL|
zgZ5{%1<GvtU}rAgy8J(jL87gC7aBQ6xf{>CWV&@6b2{1RL$%}+#_6LYM;gN*dV5cA
zm|#Gm%iSzag70oE*8!nP_@W+uYHG^!wU9ikpKQ!Horq~sP$?+B3=WTpG^&8gQX=e|
zyN-Oivf#sK8338Ax=X2}#sFZ%3-DObOW8LaW2gETILYc6^E+-h^l98KxN$5IA;)Ms
ze|qhkHadkx_=Y%h6h5+}BU(3#K~L3e#sytArQM{~X*9T<Y0K`b3U+z@Xt3bVJ_|s=
z-<V~M$K+{M(DWdn+8sM-7Y{LY*k38Dv)t)x-06t49F@NPBY1OIrf^*KAFy)YrxnEy
zS4;U_w4u~%*|$_s#+bO!^Py#77GYTG{X>{K`!1IrVW0b(H%8?~zgiEb(JLPNdSRu%
z=?4YHJdsQ@R0~jPMk`&0(Yf%x7Y#d4UJFr`S5;{&1+4hFuv|C&-q%Mk{8(}@A*{gZ
zcn*d9U3zQjLHIb?s`RnsESP>QjtpHjXxnhPP2CztZ5R$e3L-`58NDmLz!~>l>LYx+
z=i*v1@vZjKPFG%V0x{D4hMUK#@~ddC>3iAv?tOF*LXJ%?Tj>@u#N-zi2Ja~WSp5Hq
zfyzuA`TaP$l#>V__6s4CdfCdXW%NX|MoCoZaUzX*Z5n}QmtHmvZS=nGMq(zp`my-&
zYtyV%g4gxEaE}-{8{`2XV)qLS9KZGlB#rz30+JfNnX%{*6ezN&at%H__U#uyT3aa0
zL0)+}10c%B2Ex4|v#1RUT6JupaK`ZmH;-suI^yoziz9XmgCPmbxTU+t_yPn7KRTmM
z-cb**3>g}%ctuR)a25Nskk{@`N)EiSdc){!_J^dtqILkS@@IUlivRSUtQ~y_p&Q+1
zGus(e#PdQ1F_LD$@QQk%up6f3|JDY85(~GkhDa+2_$t6?&rruw@!k;>^fS!sQFG_Y
zv@|pGce1h??giN0N@8MSliFdGqkNcru*<%$QJjS*`OI~Fhr?kfu6p|J0o}mzX%D#@
zCPG-(_1W)~o5e&|^ws_ffjZ;q>z_m5arX=bFgz^G7(73gwATO&{^@I>9hz3P8Iz=>
zq|7R>8C>)Gui_6cheHO6nDh?`lX=db+*OVe$`d-r`jr@SD1=QtF`n@J<oPGN)=?}c
z_wnq)2K#mF`n$g39$V@C`k+m)<C>j5FNv!AWJ;q4>Vw0obYNBYel^UYz4SJda<M}D
zySX9d!38Bq(~~X4B!ILdy!UGXaLKy02f(9P#Jzh#7auN}zR-4bluiw1_fvYu2`<ui
zuL9^DVj^^`ItzgolKyD0RjjG8u|udo*zpudYh-Fl);c`)+Dkt8YmQE82EbiC;1(A6
z^8h01o|~QZ`B}vqa@_!Xoo*&5@OpqncMs*B<MOEP&6mCMc`|i^*vm5A0uasj)j}1~
zt|5ue)5rAVU7xJhQSRi*!=$!I%RE_{iL1#yEYtPIUXaJmbkYg($N5u!>}I$xk&|N&
zAv6;ZIh%A&cDjehY7AOla%<CyiriBgP%RBLm`ws}zk;j7eCI+oca^r6>1rh;@uC?H
zY-9Ak&T^e_n2(EE@%V`Y$kxZ#>acC>hc=BJ30)nXb~NbnaxX;!r6<f4-^HQQ6CWn^
zS<<nf>6A-#M$9@03cAqO+uPfDsY5P*tNEHLL-eGrcQoz0<@q7Qfse}?0G1AUMv4nN
z7KlsUT$)_iwUn$#%Vm{Q6NZYuEg!DOQowt7$9kV>PMbvx<t>s`u66l*tF5mS%W$J#
z%|hD$o=L8XmuI4Ozyw%0b_HiMsYO!I%#X4$^*ZoFj|VUC>@K`;s!hIjez^0-msC+I
zU78q3jR@vsHNzHv2@BaNoc?99%EQG=^UOar@WFMK66eqcdDSJzJ#s^3Rh5dRpTB``
zADC0@$0m37qn-mo$swMvpn*nXWMZ<&h|UtKt;=dh@oNo+QsCOoP{H3B68iZCJ=Ev=
zL$c59uOm48jxAA-$_MB!E~*(sqw!Z>bJS5H&hHC>ne<bJrU5^hf)Xh}?@6j29(xrt
zep*mBC~bn;ef21_I$oEnC6nPsw!uI{^P9JCQ)n-0W*ayyHD8#@csL4IKFBhD<tLq?
zCZjC3x!tZM?VrCbP;yi@9es1{`}{Qkm@0xrX(y9S)Kb=tg0546;F|%BJuZ2G<l9gq
zXn8su%Zdg4Ks>JKvsfJmYPde#U{{|LOHqCS0RPoluD4L@iP|*m7L7C)<>j4ayWWKZ
zogT1h7g;&J1$2b15B-phaq{M}0OSKXH^8Zw?R$IsAk(okq~zKHdAuu}0P&$l1z=*?
zHW<o+KWx%Aid^Ty>bY~pGBljNy45k!3be1TOnAr{<n=WT{?aC`Ehs8{^QQWBO-;>(
zC$HlG-5_VY_WmU>1r4pI6nWGP@vBm#L#hB1r_>&5ArM!?zI6xe!Nm=fImv+Zqn?ch
z57=KJ%4=qSvKnL7x)Zz6jkb_auN8JwlI<s5TW&GaXgn{N7|tslm{)473nkLVJ})>I
zBK7386llD0sD$k9YbA-o=L4+3D`aDSfEfGQ`J@{Iv_9S`w9Uf8g83F@sRa<Um6g)z
z>dOh5=?$*KwHvNKcFYft9n)tiL^wM;(~q3IDr*m>z+y&!+`*mmF#{zAeoU{i3&L!m
zz}26LR&45SRBJ3#vXP&^3i2Y(>blNEs~*r^Y^(@}tIp2N@$&gI2SmZZo<>t@Q^s<{
zpJDEEgZL>Z+Vme}`_QJB{rnt%eo$!bxUrPugOfe@T*;i{ra#uxA?x-wfBFAq#^Zdb
zh<@sLck(}fW>I*rK)uE4#<s-VsGQ!hz!-GAn!B1V*=XY3K?>}mEj*>xi))O=yt`V(
zvxOLS`HPA~%S)q6t9!_mZiKF!O`QJV+&Cmayzg0{CR}6C*P3|i(y*tid6JI|F=A-9
z{#tr^uK9QNjn;P_avj^g#937jx-RIh902Nm3g2TG5U;@xoL6Op3P<SOImlsMzFNo-
z?c`A54^ZF{mhvM2u(_5Oj#%`FKDcI=(BEqq0T){dw<`KmLNVS1NiKKxnUS8@O2cC$
zvhW|20VSCO@(vRGCF@p@%3#Qu&$MLyj|Wu?<oCr|(>T%qe86RkqohzPb-8gm)H6&i
ztoff(9BQWt4o;xLHNqRQY?TBW<RKb2_RCe@e1zR}#ezX{e^8uBeo&GF?R;U9bgYOs
z*YLm|n{R{3EIT@bQh4#)9GUDt5?+|!P5Rk(z&OFNU$L#~4IWQiISZPY4EijTvguJz
z9GJev&YS(iKN&m%uDS5ior7iz3ayO(CuN7Yxcys&Y5esRqm>R7)1e&NlS>#kHs3#7
z0GcJ)5^wgFg9H#QZYO&R6G%;9=$IedWo)cb9lsp)r;4^yf2SqMbwp94v(+lJJJc!6
z>^hIdK?F6&gHsa;vk3JV1v%X1ip%OplWEdu6py0AQo|yzbNxBPU+?Rr$)Vn)rPS##
zRiS$pp#-W3+W!gx9o(GvANKFP%ue!wH@^Nb$IR;fPl0C$t~=P*mi(_J{GjSZi)Vu<
z^0MXK%z_KexBY`tNaB=^mHP}>(}d6kv9CICyacC9{AU?B|2uG_=^P-?p$`0FBPk3P
zrb0EYc_v+*(z+m5m5^<D_tYDG>n#7gmp|^tiv7u(e;e$tiGhYu4S$qYmNp0nmGfo>
zAxBG?WM6BMPhLKKi!M!frKBSNUuR<OCF(hNbm&M>!O}WmVb@L4JOQ99?Ts{}GL1(X
zX#tSXa*Xs~KzWQrJ(}=OtVKIAvuuzOB#%a4_>EGuURfb2tRpYCei@E=$8#v=oLTDu
zElJq@nk|`xQh%kNO+iz3kI1G>{CziqmJ}E7<j3Lncmf)BaMw<`pn}Xb<hn&P*`KPv
zpad7c|11H^+7QxEa_}q<j+{Z2<_Mz>AtF4(SotGwWEqHSNe1y$m;6&N*S(c&z0=y!
zI&8Dte8D=8l1m1cm&88#)9Wc0Nx6p7(4wxRPNG864rwoEre<5+5?8s{$GQ=C=1&91
z#gv6@gS!8C4~+`L6xCBrmN@lS;Ea$|_s$D{KPcB-ZttITKHpkqoG5!H`V_!~Txpo-
zI%pbbw1w^*w5D)HuE$z`v_>{MX>mPOk1Rd6vCfEk{jG|cjkQuClp(Yb($-$*8FJF@
z0CrX{<E23R$9GToRg{l8qeVcOu80yOdrRk*tT+E5fW<r0bx`j!Y+YEI!9B`)UIb#S
z?FP^a_&tuZBg%Wut8E_y*7Lw02G4EqLveG1*1K&Frz{p_YuCF3**;pN#6&kIsFY1-
zXOgeI8!RiVxz{bWU;K8VrrGeSR+~kZ*IQvJ?=R`6^^#ZHmOUMn6ejk6&Ac1};5s#d
z4zTrJCvWl4qUz7RnCD^T%<f$EUfY|<6CRf$Fd+p>D$3-Q{A1P@m3RLRX@g~^_<g}d
zM4XEKH90o%8-vC*bXM!`)yW6rObQdQy5M=WT#a#&eao*Kcvp;r<L3%4REp%x#<23c
zpXEwepRT}7%$AMrSryWor&N{0T}!R6ntw$;&h6~%(GibPMCc|Bi6*+y{I=A$D<2yG
zoBL*Wdle66p|8qXZl-`aNETDQtb<>4-h$L5s%3pyjy1~go8J`ZP}*O<6I;`gw7<?v
z*t+n9kEJj;t<9LmC_{EScbrM?_Gzj(fl8e`Grz#LJ!TahWfg}v%QsN!kE&}feK+!L
zf?m>7wBq)-#E{(_9q2mrH-n{0-c)(2LBgc_bmar#7Kvw+VSC~rbY$dgBR3>+xMTmw
z)-gA(n`<g7{80WxhO0ub`t>5LOYq`$tTz{vMHP32_xfNadb7XGardNzO+fu#<y0xw
za;Nb7-a<%~CwYu^+;P6XqWbU6f;$~`JYR<05n8J|3Tz43g-}FH>buQep*~ay{JRd4
z)!br}S7x;lu~={m0&U9m9?yBwZhCRsdK#tZuGRK;4Fm5s&A6$Qj-2NhcRHTAoU2on
z1SYNviSGsc+Cmiu_VbX@=?x>tsyX{Pow>cdQ0SBS>)UL~mfMSF(|RFf3@OX#!o80D
z+5RD=O{7$n&tBemZ1VQ%0!PH<JFtdWyys?OE3fkSd=95cuunIuX`$cVHTk_STTM<O
z-YWx6Lq;E#Akgcjle3vf(Ft>=NC908?8gVg24nvTTh6A$oRvaYFZb!@SVC__FeO+V
z7{0#Abek9VMKmlvDn1?Y<jw|w=!`Bt*n3d-1oDEDmY2%pdBKb(HIcToQSv4I)~9bx
z@sMcANe1kKLY$t$y7i5tEZV<rCNJ-{Cn-lq1JUPp)q!N4WTRNjBEDg|AI`S%*us1R
zzj!;1PzdjyI;&sA-~RB+#;I@tXdOD;YEf{rMPuVLwsafvr7aV`=b5=(72|QFt4Fvn
zuCrj@%D3-0nyd5n&Yy7v7(Oxz@&eCC-%EvL=%IG91u29NG(m%RIijcqcUmO#acT<l
zh3kqB66*Fc_9{ob@XUtYKBV>dZoNJ2?Y|MjU%~yq1jZq~jx^F{vooT%F*5$4GYD`?
zG;yL1f=Q%SsogR5(B%l8-R`kB;R-{0AlF=XEIBe_cZ|dtAWP6Mo=tx+Z-bKjaD5!7
zuuIK(wS0Uf=cM%mUwrze5jAGUkayeU?rc1|;2Sy;Zn*FBUTL9Ic~fN}8o6E98!bkj
zu2%Bh9D9W_vRB9-(%b!#&p;i|Ex!7yT_s;3Z?daJh2zt*YuCpko5l^RKVgCySBPV;
zzS>n&VrjPhHWE7PS7L6+Je>+PSzVO+3?7I&)Je++GUb&GNB+{x_0`tZfSyvQfLqW3
z1`+xW-fS}DsutcT6wFq)o*_e;2)<El*7%i-LYd)>jEyAgJzNh~VXyc3AQm)85%eSm
zU!(p_%g3|PDHs&`-Mxo>qdN62gL~Vi(wS>t637G<J*ByF-lX<^-(&ccwiMT$g_8@>
zoXRZO26&vr#xNjn@w=FocYoQ7&#j{Qi1eQcj*}pger}DAtZTomxb)qtZAY!Lux>o{
z(x!@+zSqwEb=#opA=g0Y*<DLkbWy|S^tNZmWaUF0hA+}TSATZ0?zJWg%_J7Q7ijZX
zralo8c`QGS>@j8<Li;S^%1q2K)@_810Uz>%LD#Bm2CuSzV}H_=4de0Y`?1;>rNuW*
z4P4;V_O8l&^MgQ#DZ^n9Cm=mVUb!+JtNf!bp#@8F3BBBKPGxzIxMzqr>?EVtBXjqK
zH>X=R-pI}_u`x)*jxE}tnxE7cZ?Bu&&P{;D`LL?#ESY>;y)a^=GDua<B>spm?|`-G
z8-5~&=Cfnjcz}zqz|zc#4;M%2Mw0;DDzz=~6250xio$t0d3DS6@EFUe@F?z{bYQSA
z9B?ef8;PMW0I|OHRi`$}hc9f6$$>|{fr(Ekeq(%NsD4r>(<*2q(MFVv-(Ztz5G${2
z|0`h-m7+K^a)hWjg%rRLA8I_}iiNoRd~|csX~<$T@a00J)8j8b+Cp)fr@p*Wx~7oE
z$@e>&-y9jSJUJM@#+DAMs!iUjhlwwfJWf$6Nx&%#812!GV5SlMGQCP+#b^L-rjxu)
z+3olDUEI0Iau1h2<>cf@2<l}7ome8x&dx%C%!?`D9stpS6+rFcyn5Ki>fN1iKnFcP
zh~7-!`U$@D!&}3LRmiaf_89Tatt#Zsm8HqCyEc{6Jnh~4%cuKj`j|AxC^R3(otn%q
zr(?*gy%kjmmxj$Sq^=Hfby|e59m7UdSyZ?1vQjW(AE|%gyMcfIdrpQx@`BqYn6!FQ
z#jReCm3Qmn^Xu#PBKRJ9W(n=s>Ma18StsCV8I6v~#;_Gw)~vKrPMGguF%|jH(BZG>
zZp}%6=I9>g`$aVcAZ~MG6M(K&t{x@;sBy3OgE*D+y?!^oMqr&I##vND$qDR?-<E<+
zXw&KB3=8D6Z)#!@kYk;ByU-D<F!knXZEp+r4Y`c>Yrm&bouv%*NYjxsY5*q^Gsx@N
z3Emi(&W(<a9tNZY7|amh-AUBITE`#IRR^hV0&f~RSusH2J;s&VYVYV&Hc+Qv^$)~5
z`h&Dshu~Pc@-K|{fRLJ;19Ab$DV;p!$$j@g%*=TmSRYbxq;#@h=*bUf9J)><R%K)Q
zG<j!OZ{F=aRon9MYCxbtpF4Z+zORFRmQWZNme~^@TEUiuZkyos@7yp4)*-Obj6q#r
zlCHYqd<`B-)xb1FWgl8sXH76;xz6`cH83#nP;uY7)lo}8wnBD36F^%l$-5u~axAQ*
z#A(Vu2@`eWAudrO*K2q~ms{FH9CzKzV5DxJ%aeZeILc)6E~@nuBM7=UQ2HZj$ruVW
z2r$SIp2w>`fX3-Mzi7|ZvYBfj96DZ?X3o4D2-*;D?N||qZJA2ofIwAjUuMR^!J*8=
zMTK#4mN2jpO;O3bX}$O$Rvl~wVf9>R1Q^n<B+e!2vcPE!;3aB~4lIwikY5&8>a(;9
zVS>u*R%g5d><&|pKI>=!;6ez1f;O_jL*N-Ea^=NW>P9+1Km$Pk`1a~F@yPC*o87+n
zn^WE2+hqut%THbpKN*;I-n<&vHlcyH*aWE7eXk2glM1Xzy%dO-Xi?Sfcd0|~BKW;h
zw?naYrO(1suvurxJdjjPsFJ~gMMr2k#yyZ%(P3c_{0pDoo5JmO&eer(&_=thX%;XC
zVBWoa%CX>uIufhy?Cbo;ed!qV-YWjURlopR7IV^Z7305}m>_=`+64Q`?+0)pKTEC_
zfVl<)0(>L0YF<O%=<L<M9)24d-u}&aWw@NZy8J!g6ahAI$g@;miE9mF@B>^s&$5B}
zPHMoNEuu3iw5;)9JORL43Pb%^qt|V3uwT%hf}3!C<pPh^QMZq`i-wJLbQ0bXl1b&U
z+IgP|!5XMw+~j<shdb%U<xj+>$NDdH%Xr5@X?yg-UX}PAjGUFOL;MAAcA5)@A-w9S
zvor3u!tdE9&tjvwuj#LyxP9Mr@KbbNyeWVqs{t_=**FPime{rFl$ejMEY}l;(-HrR
zn62zuOH&>-TGY+4yyQ>&)~El0M3o<wXpA{vPc?_{VEd>uZviC$5g-h8=@_3S&-Jct
zFoOpky}kV7Q<9{#v~|zW(C*2XomWm-0hT;-u0fvbX`J2nWA1oY=88$ou+O2#R}YiG
zcB2N$T~>7kjBW#MQA#Kn%wV}>TydTt6iWCXJ|W>#n8g4f8pXV<7MK*>NdbtP;Oz*1
z;SQoPz*SG5tHjjYxm(3QQNB9dSGvy4w<2Bfe6(a`?KH#nt{j6Faf&yWD^WeM9Cp_5
zi1jFMSY(Z5kud0~gj`N)s}JGT5QuZ3bB4o*0|9Zo7<6w`(sXmFb!i#~E1D=<yLv{g
z2$@tz*O9#cO*j-h2(<bv^$~wV{PdK!CrA|j>f*z>;t`4XBno27&um882-L%tfeUp9
z1Xho0xAfc(ea`h;B#?7<-hsGI_S{=fm{~bPT;}2nNhP-pGv)@BzUdVC_6zuJ`xo##
zu-m;T;?1s^R=vx{>dr;-v^(VNd^d2Z$|<AfU61<>T!*v?@^FIh0B$&q_V$mDk+HNE
zq5k0vS#Th9-boAa-g`C=0N~wDeJ0x=Pa?G8iDdYRi#=d2rqoJ#PIh<c5YnmXJ;Tdj
zhhU;khGI?OH^(~kUGS(h09f_Mi4PPda98tcw_iK5Q~(XtZ~%w%fF2%`9c=}Bv<Tnv
z{UA8B)DE*<1Q_Z-%s5cu^Lqz$EMvy~&bTR1_9C`%a&pE3XxEg{yW@8aiSn_s^QI&E
zY=Ak{+O*rm$jI{K)#{V7S7OFN%S-$7qzC@$;Y`{}(CWGpT=2Pl(j$pV2fPT2K|z!r
zUgM`mHqdI>0Br~zcz?;*)!P84#CJwWiXRm6b&{tsdpAu@lQO|VM#>U0KQu%=5%yp3
zOe?T0?cedtqG|BF_kqRw@oVQ`H8nMfrI-^R_y9LJ1TH&ufP=X7UCz;zTtfqjD)X8-
z5%9#N>5DGiqcyOxA>ZKLi}=6qwW|5kl>Q&@1j3O!N77p~jEBj*$jm?|)N!+Z)@MRT
z@0%x?l-wvhZ2s<sfHVH4h{4>WN}qQNo3OoJbB#S0SiW~&#Tg5HZO>ivhuT-4yhfW?
z9x1$a>G83n>^?MRjsg;%oy1s(<U`e4_v5szJ6q1jwoHHl-y3@GE<lvqw4`h-Uiz04
z)qlRF49NfHLz1VOb6`#O!gh}Hensr=B*v?~*0Vk*hfmjMgW<icTIPl7tu~}Yj2(VM
zYWZPZ;mSZ<N+LE;H^5@p*$)2sp~pxohY5STh#Xl?kY&wBUe)g6O;W$jQ&c`oVBp%1
z8{_ipy2SgY9(uf+*E*`Z@|7!3(}g}@r^q&em(sIB#9`O188KdiD{|!(?N3``buR`^
z54Nk+`&we>8iMWc&wN*#^wN@oHXk5d2{tIWv!eL^)XM2p<*mty{XUyj6*$SFQ-Tvg
zo-DqnDDDwxaUnf!q}<_4rQB)`dag29$rtz0fww7-rt$CS1HEJ(=Q+Ewr}5fMj9gbr
zB#ByvJWOYJdY@UAHJDn>3_Zoo0j*gZWpdp1r#SM!Afdf=Am^mU{y9>2W)Qz`Pgg3Y
z;AN8EWTx8O)TQcA`3TvXqM-Lj=sv|IR&F3Hmp1jKGuUS)ChKo4O|Bw&xZJl)q?&2G
z6OQRdidhH1#<jkiPU)s>4S!8jqT*6KFnRk)Kbsl2|Fbza6RScLnbxVAlU{=b<?U#G
zI^B|Tvt#Ak*1OFq-L3gLD}PMS4rAtXah>1>_W|0%HW7PPrn^6V+gZz`t;umeKH?l~
zTsfD{1bGii6vh@p&I>yY{WPA*nP_KR&Dc(_3K<_mRWe|#6?stTZ(HuzHV(N06I6Us
z>P4X!J9qBPlrqQbvUyEzQ>p45*vqN<K1;NRzns}NRUwoIwDT9XSH4>Q_~=VG)|=t@
z#a6kHp5}!;PP?#m8G>0&ZqsJX&dO@(Q3k1U7mq0MUi&(q+>T~HYpcE7!s!<qu;t3>
zsf{O4gI?PQCYA6`p3Rx6A7YoFAJ5cZIq%m~qCol2WWNu?(!>G1!JM4)rRt1WJ3SZ!
z)jY>R%naY?PKnKl(B<CS+w~L>m5Q;eQYTAGH~7sIE{8wuXa^_Mq~KNQlSwY}C9PYe
z71(%tECe%Kp~wlVJj}<rPG}(p(+oFr<+|_5rwc+y5(n>9A+cMF%`SeGvsVNKov!~(
zJAwe`#?i0xTxCy-?YoK;v94lM>DE4hwl39ES$wv4_i4l0d_yl2)mAYN+tL{}wrQY=
zTqHjA6s0VZSBz#weJQBGii(NZba#b3zwwdc!XXJIl=Q|Vu02N!TK3i3b)?Bv0HIp%
z*&blF0}NrIC=<<EIgV)M0eym-Y)~mWi9h;@dKQsL{H-dsE9|$X?>n7|Ts)QMFZ}R6
zDo;#czkYYY2)+PS@S11U<n|yjp59!S-R^!eb#MO@q9M)FP{MAN8=KKJ=z9PCx-LOk
zFVNzyVD=m*jVn2%j?1ns7+WV~Wg(N($={9b?b0T!Y49>Gor-MobzZ{-qbe+p=_ro9
zH5IBTUZ<r>k$WLJI__8)jAvhUg7Ty2wZ1&}x{scV7S9K&Pv{L25Cg0ROd);P!g%js
zH~%_H@+xi}RQ3<R)%cNufg3H*1j1ASUF$qRHHbxvL3iwc>}mD_2@HjV(2Owf9QtKA
zMD?vKTvvYIW&uAm^es>`r`D@|u(6T)T|=Lx`>Vj8e8|K(*F^jD5jx}G;^dHU+>9mE
zpm^6_gJj+*kxC30<!p`ZP4AmV&Dh`@nq4`U+1PkTmgbLPeO5dOvz`Ot)6BcA>rPCV
zvA{SFUAb+Bnb=<I^5qf2KEgDEnQF~Q$(6oXe2NYl3yEt@YL4NqgQBecClmI=R7dAf
zt|*ptKy0AMYrOW(ymiqhL43**+NRi<3hYXjLx7ZJM#Tmhx>Jd!L#gL&w;4lGz{1E3
zHVkAsht5V`Q-rnw>Cn!?icR%%&sEBS@<%V&FPIKtJbPuLGImV(*R1GeC(yP&SY-zD
zv1afk_l+7aeN*EgA&FlIH+FPjscc&E;BmS&E*ot|OM(o>+Wk1<JD$!wblWcaJSlkZ
zhZaqE#CLBmOta}3Hn7FJ*d{2qyY3~_U{$BLLDs?j?)O=h+`GLt{pGgZVx{yOgc)|K
zP^G?c8j8mys<$N}0Z(9%xlt>}#T3CGE#Az<Hv`Y}cX<SAU_3-PT~{v+FlYu7-De?I
zr<o#JG&z8|RLixjuD(I8+2hcsgY-2h>t|j~bH&&ZQ=9<wXhf3+Fr1QZPP+m&y)j|W
z{<0N%sYZH7Pb})`6y+3y(JsEC&A5v#bZN?&hi{VibyGE`*SC8ek{Fnj(C$guQc~-2
zkZ~Wc(^XR^@GkehCW1-xHgc^x)YmskTpU(dP+?(?2RsbLA$G&RX106Xsu)FPa#0y5
zmc+FbpC)#@!U~XZst-045${2n6B80HE#l&S$!c>AZFn+TLkEL45k*3><RL*C4Hj2J
zyNf08MNIb(1jhRTWKu_YZn-izj)?pgI7i%HgVnfN5fL^a4kd9fs&ugpTHUEt85P_6
z1Z3`}X$M*7<x+_}nD5s+_s6%4+6RwCjZ4<nCGQ=h>i0Z^K?&$(SdP{%hJ!~WS{#`N
z_QHL0Top&zN11)=YRH%dMY6`-23re@r;t6NQ<1WTWk7R#93mCNqZHsN$zkm6y`GJF
z1eGs*s&|AEDxtdB;7(R=@2gn$Hz-N&pvi6WQ$H`k@v~D#x>c<`xA_ep+$HXM`;&r)
z_#%{h$#~P<SL>TYs~zb!fqe*3UBuuOht*(a9T$Si+{ba(nV-$~s6y+z?Py2bWOtvT
zpF-#?QlvF&&nYO7HsPeRc1JCEiheqC^?A!se3$L<8}?VWRsT9s{SMRzccGi%O=GsG
zqKaN?&d6&Ruqlu^eoeJ4rJ)XkcCfi<S-m87x8Vqvd5`~$YIM@qRxj>nTxSCT|AH}n
z^J9yx@r9F5T5DebD;`9P&Pb&jUy`5?txm>t!CFdyLoJge=b6uUzk=c;w?b%n*<zZ%
ztSVsU_Oz1w%kU^Dq14UxVz>9p0foG4MS`%}I|Z@2@^YkQI;3f9R|{c80XR`DR6fay
zk+&aDi7j=UVBCV6a^-*DnJcndzv_RTVBALNV03f})Zj*1HdS{bL$rutdtymm{`iJt
zF+AVN>lK`kR<Cl&kGU~&MO#rAYI6E+yo{<&71@3+zw_d^m0A963mN!P$B3&ld`+=W
zqSL*67M^823O2@>*3DYdE0`^(vWaSYkCbWnBS2|p^V#bp6;lBZ=hEBlA$*AHf>YF4
zD^NI~(eT3P=H#1grHtGmp<g;WbU%%|LkGuPbHJucPJmIwBzPfZxf(2RckRA@2V%sw
z(4&WFVl`7t_4UPVP{J23q}WDnze4k&E&w|_sWPX|qJb7qPX3v#;GxZz6E}{&)l&Af
zRgrsyj97#?b7fzwf%={pCF>7A5`VNA<@#|6(FH&B5tdbVm_x9e|7G+`@s(O<rrDDk
z+<9{$-o+5^t`NL`lI75jn_nMS;ec(p+WKU%&A?86{uCB|Onz2j`@Ty`(EIXX#=fda
zr@Grh8mFH=m3&wIW<h+#JfxPTI4b?D-PRqZpVR^O8aboYu@`3YFU^fI#e0QSY%GFM
z$^iRymq3~M5WVoeNL-+&OE&V_>vg#T1hx>U{D-5<@KtQAtl|7Rz`_oYK7dy-p{&=M
zSi9H?c2nlBuCAVMwfFFcLR+5!`P%g6g(z{yyb7P<O@(BCgA!<E6H+Y*qrDon2~RhN
zb=Usk0<1T+oEOIDL#>c@O!M{e6*{ONAP`XrX#xYH<gC-A=CVrb<|Q2?nP;Waxln15
zZg172pK~DIGsdC)zDMR*OPW<TN1@`-Aq<AGb9JQCi;;>6!$Z~xZriDzgA9X-(vyF9
zwsx`RZi9PDlz6^{<C4$TC2(S@ZB3Jb9vGmph5_zB)#$dV&P=R7*uP8-TUY?9RGlv*
zoU$Q6!f-VQpnr2fUH20zq@rqC()Po{nZUZv_ls+Syd2IC-s{-|0d7!ccj~3@2j$GE
zmUVW7Oh8_6JDL3@fr~N0N_sadfJ?$v3uYd#dH=CryYHQtw&Iv;e$WOwXOfr^H)0|)
zc#HGOt2E!zN380rnjOfFBXkPKH90e^{j|s1$e54P(iv}5Z`&=EyzgpY(@QP1ew8lj
z8I7&pT6&a}F9?zgy{cAwq@W0_BJgwLTMSBAkIvUqa6Opym}G-FcLVCLd`@<m&F3eJ
za$ivfmu7I~s$cWm3sKs3Ai#PLGwrX<vp}zXh18DJPOW^knnC5}Hm382(e5jOVhj~$
zfd>$AX<~%a!kx_1<~*W<adscamr4BfXQS156VNw>B!Tp7lz(AGC-8?tp++t@yRAwA
zsofT7mEDj2?~?L~+K9Y#v{x;59b;{+HXgYwlVpS4j<MMv3K-Gt>q7+Z=5=#s1dsJq
zz8dQ;mDXsT_%`u{8QZWtjjhE$<@enxNVcqeO|Gm-Kx!9TAj9By<+XdK{31U-o_PB`
z2~k6OufpF~2u=^o%%gU_<4#MJo|V8id(#%C=IXjwx9o?}#eJkqi$D-?Xbi6k1ley#
zJs+3t>YxXLlpKOCkH%#qv}Wfo@W9}G7byz20rWD0PO0i#+fV29kShs8`WlFp()-pw
z5|B)Vsa2zAiW|lzYFFq4Sy=SU2L}ngGKWqVW4G-<Ztw~^j*Sa!b|L0S-#h+&Z#fc?
zE&V;DVNuLeU@b#`#S(@bmz9>?`lb@m9FvjciF22d7F0;LtPrRQ=^%*S2rl;t*h~8&
z99)d4mXvU!i0!UvD_s}`(u{&y@}JBttN|Kd1gs`mBd?_a2Q6mlW=s3RdVLgEi!f|B
zx4c}^%F;4Ot!)R>30$hYzW_sa(}ehViUYb%?_lSR03_h&6)!IK1B-4mAc0?5u`vix
zr=q(Q2Q^DmL&I_Z3>kCWQ<Nkyt-K9D&&Zf@ML*Sy!=NO8_XfGRoyD0MvcHchPLmlf
z!hb7X&Yl%v)#HL)m1|QQZy8Bd7%L<COfDa7kY9Mw+hT%x9xvg#_SVaAW$KZC=Wd4u
zcG(SzryZ%?HWq9hRPBvy8Ai!0ulYiR{eJRA?_rfzW7cJc#T#5c1$Ohpnf++bM<5mz
zJhl+#NEuXVj8FkFa3CBx<klvZgTIB*qhyX?HSSn{6AF@C%NBQ@%gsV6DmG(ow?IyO
z#W5nXbPQxy-f+&+vNGb+Pj{|2CwEc;1NdktHtZ?OdIKkP-Sn@Yqg%#hpl^$di?R7|
z5+#g*rvg1xMHEcyO2By_1#Gmo6wDKUp{<O;P9LYDx*~K5oPPIeaY%#9dWx2LDjdW$
zW5O}y925I3l;`f7Xgo=#nPv{rQ0Ac*LG)aooOYnpiv^jfco6}pSp=i`K&4Ve?Gyxh
zG~MS5s&WBD!NS@?{pEU>HWrY_a2I~UU#NHS?5I>pN*9Bg3G!G}P>hX%Fg*td2c^k)
z!!wtxF@6Q&j<x7kkedLlMKV0fUlYd*9Nn7%ZwKhGoqzsWPAl<Z%{OxrBQ!IyTpc$K
z@H>@M73BWZFn1L&#fz`lkZ*C<r6?!OFr%F%cjAC}I8f!g4u<bRv^Z<;;B&D4;cI_j
zsHs#Pr3$y51Ag{&5js_zei)3)`oPu@cH>WzMmTJ$e-5RMYb<Pq7gbp8Zx@UWylqQM
zOJjZIDS#QM9ELfwUx2><(ByM8l6G&W;09vw^+fG@&HMAQ{ewOhb6+QV&2>zA8RT-K
z_jE^IjGKCSFMunh@+sD!!+<(2ZtZScr|*U>LBk?sLlf-L_mHyrR4q~o$l!lNFSb&Y
zsD=Jjrfs7#|2t(`-Acd3B5C;g%wVl}u;`0@sc~5aOLu$28S5(o-y5t@+9oDhkZjH$
z?{AZ$FG<8z#l~s#q*zzECa+^;<T)siO=DPh77)Lo3e`TG?zM{@tg5MbwTap3e@yGG
zJ?HP(rc~CDF<7$wRXItUY~K6Xwqk*l9Ex`?WW3cWvG8EP>)c5cL{KC!H$Qfzg9m$#
zIKO-vl;>-2rMA5%k3B&V3w9TK8F-JZ)vWv&V3<v#48nXA1wI+2k}xakYiKtwTh;Cp
zHGk0e@$_P|0&n&EW)6)F($1%(Lr0nO=bVv(Rec<YIcfgB0^;`&u3{g27b;$A?c0tO
zH$gUrkxRe2koY}m*QF_1MWue`fmApDZ;N~0^Mc)!0^ubij5ct$J1mDWwNz$kzb){d
zqH;lJm1td%=~xkjF5-BA8tTVW>wSB?k65A?roF;Reqcbv*Y`n1Wz@u%)uS6fv?&R`
z7qufWBc}3VBh}C&R`!?!5PQR!A(#3J=k^xbijOnRXZBl>=a1x)MNIa@#NMqH&fQUC
z2$q<Z$lSkN<6>bl%*#W{0jtG8Q>-5bPKL+sdEYmDW|QhY`;%<XIG^ck_4-xA{EJnL
z->!2mg6OnS;X@fJ(xYEP^_RX(u1Bp-4!y_=4x_;7;x;_OH-c;D78zl)9MMZCqu+qq
z^9Fu}M^+{7y%F8{$~*g--0qYP!nGb7G*Slddwv5k;BzZz#zIEAVd;x*i*%8N%~JRe
zQr+4^%Ex#;`SmfQcJk&Q-aj93@h=)-OH#z&+8(NH{zR_*2y<4{FRBxk-FoIs&=L#!
zFlC>M-&k0!aM5!m&0#896L_`XEq`>U=+kcAS7S1JM$TSRq+lV`3g;=u=RP+I?uD%C
zpAg{|t@%b~Ancl%@)i?(i)(Fg)}5~xq_)2zH&cS9HWlWaRy^YB#YFv0aAhO|ifdzN
zQHxG5<xt?&n0tVA{pVYXR{#G|LqhXHl&W#j{~fw)IR`)OTi$+%mX{GTS^Lyi0RYA&
zV}hIe?*-x_9HSLy7nPH&Z@tSO?@3bjHu+J{`~<Ej{-O1YdAih{{y2aBX_dK$_pRB|
zj{Y9O+FP;5{GNiU$cHPp-`oN+6L&Y`69yQT-th6+$O5|3I@}AuOEnFwo7!<}jIae~
zC@(bNgZHokFlaNxcPRtIGK&7UU12)JB^#Xz96I8-*MB8B0cJSh-m$YEk}1R_+PnCp
z;_gs~&+r;vLu^p_kzlueW)5S;fCVwtyEs}<y|U6Dq=8$hZOAui{_AwzISu7{-oNEq
zM?+`zsS#R_&EbV`tjqlhpQ}La*X2vRupsDk-E*mXhem%a1U;lUFW1zmlc*xS+-?E@
zO#}g?!i-;(0CpPy7^nxfBksTjw|sYZ_atiH%+fN=6g1;+;v0au&+*=#9z}=3`U(st
z&5e!wXbiiLDM7?BexY4?IqB`O`U=j5{<$;>Z1-j23&O%%n_)F(GUcRGhK5W%b9HMa
zygs;d-m?lWu?_j&DlM4nPR{>r4%ry?Evpy!KcOLeIQO(}4-b!>C?2K3_SV)Tei^>^
z(b>I&uZrfBM?$a^BrK(A*db$@F;+b*Mm$FqR}b9TE<N)}J3CXmXp9=70AOau#t8t_
zY=i6#nFk^urv}FSZR&g$yit<&pP%8GKKf_DzN>8RcFh%&ke!kZ`$RPkP<(uSl)6|A
zYa$QtR7J}W{PonnA8TUnagTQ2y!+x1nEfk_6+JCB^6ZK_<%5=Ttk$2B1GhuhrV5>e
z*)503NbEYYUROS(-koc1P1N~Irpd0y-^=K1l8w^u5Mp}BBlV!Fpx|B}8d0@xZEile
zvqS(u>;8*8qq|uZ8)+b6cLIYgfS$@e`!+ux5r_7YS8^Z0_`@uk-^O|A$a3+BxZDF@
zPe-fUz&xuZAeWw8I|o;*VS@}W?aUQ#CIFZZpnlJL2UDZPb17PH{<k~0tS<cjO5L0Z
z89Q$4J&Y<lt>K!1^*Y7hN(-`LQ_@umx2}UULI;|JE@V~;2*WFoZ74kn0Rs8uW>E}V
z@qS+`D&BLx3u{++VC0CL(WfRZDz5h!rhXW6i$=en@sj^bm=6m4tawJQSZw}JA!$Dh
zKT!9UPi4)#GSon-kkcZyqR0CSyRgyGlx|1R*lSPE7~b_IrgYz$M~fM&ry@_{BS6nY
zZogATSGS>Rg?F!rv=P0aHnR02`#~J+Zo}oJ2*S2z?zrp7m8&S4me>H;9IsZVW`W-(
zta)`OdC0mrLRW64YY2KeX#w#oJp*gh<->j!0D+$PG`{>EHR8WBlZ)@jP*evN*T>`s
zJ6AE;G2=IIPI$OEWJUudaxUqgV1?X*dG2dJyTCL52HaM$1W9e2i<Q49;C1BQf_c_?
zXk!DbgnOOL<i!g_n$5j`j=mztdri3H?yo--OP_|yTcf<X)|$5wSnQYR7F`7?1tRFC
z*iS=!3H!tKvLCzPNT?iiy24If*>^tPGlQt)w<Il=?$aw~;qw!RO|*K}Z|)mFW_v5f
z?!WPoT)t72SMFcCG62&+It=nM&mn&bLh>32jYHEAMxJljCG<Q-uacX*eS4$C99ly*
z_Zg_IO4LE6U~5Y7v$`<9jqq;z)KT6Tk)7SSz*Vk=7`rH6fUPOr^-o@$-}W0`l27gE
z1dtnjZCI15MYWrA&Rl4@aKe`mIWy!v3SeO9N$;>}Q+@gQjQn5qgGR{yM_zYtgEz$!
zYrU&3TK3BTe9g=uXf86NBB)`3K4#{7erNkJHXpy!YZ+fwG0kNi@^jy{`>017&yB)Q
z#<mdSA)TwDaJ*}j@IC+P*I9d(eZ${8x+|Z<@o}vav;a?U2AFa_|1fYuh=A7ing_xm
zr<MUis(2Gen=!4E2P}+nskeX!r~&NfVJPmUYNGl5t-W4^^Q(Q~nY6Obea+0<&Jkxz
ziM+mPy~Wm9<M&_H)lS?-u^gZIhzK@BbqtM2I~M3FEFK!(!}dX?<{Ww0j>8G%eqDt1
zR(Cro_n~THMdhae=5L;;7;c}5a&Q0_c!Z5-kN#Wh3iD;}IYF!aEZ(=|mumbl<JGZ<
zomDYpb^;PP2D3?%H_myQq0*Avp)h7AaV0q`*})-Z@nxgCgcXfBOLb9<;hWW%ty?VY
z)||timQ-Wt<!7{$sG+Y!cPt+jxm#X_Af`F}&(kuwKb9TzwA#D`&HU`eO~rI^pD0MV
z?z>P4{$Uf)Qi!d@M~U-MFz$CT8|}a0z`Sio7~a^##8v3R1$h(P9;gvrq509`rW#pY
z5&Xg@4l7=8u?E7mLC~BxZ=4^APeq^}-FOR}*!#X_DAncUcd}Zw%={H4&ixQjFU@^J
zHjx{CL&Tww)Kax{hGTN|0eLTNY`(j05k0UoMw-Vo$rtRRtOJW?vFR4dZu<+%f@^DW
z$gc8yY>{nN3O4Si#7it>CQU5KxpDOGLc!O3O^;@xew1YRuZX?PAAWm3MElh5eCMZY
zKu{y-7GN*U@IZa9XLa#b5JouWIqc-MhfYOaoAbOy2(bWEs-sY+Dg*#Tj%ua!_w)c%
z2N--{f#=AG_i!Ab1)5GzPivrBCsqJx#s`*og=qX)*aG>+;G|AP!0SshM(@9Pz19*9
zwyp>nz73Ty?QyNGL;hV{2(Jn*ceQd?vl<>v$oq&e$K!N#ijs7RYlPk+O!uwL?xC06
zGudw#Evg(5c+8}{jLc?XLf*AJh}5S$)X+W)m_s*rXUQ_orM}*A{X9p=$3Rq1GMl_M
zZjx9~=-+czYInFY*tBT-Cku4C0odg!(H;%({+_M7;U>71*-<w(zGQpF{n`V?M6Vfo
zdfBk{z5A}Dijn8k;+<{gFLsEv)1M1QOo$td_V2E#$t>x=b@`?)_FW7hjbFUe9;rPD
zW4>a=kW!x%#VZoo)>9kya;{*};cKOKUswB55S5Z@ER)~Ur%%uK4s!Aj^8hbDy>_kG
z#YXnBS_gXKQcQD6FO#!>b&y`nKxr>=93}dz_&#!40C+oAaoRPg0FS_gUtmirP#P$T
z{d9*-Yv=n&M&Apk3^^oXQw}KYOsLVqFZc5&W%m^Cj5<RlY^>^bCg;@xieYtdE%-t%
zTrq=e8DwFM-%xYKjtwYrlUbop$eT)jcspeJ%e1tewB_7}=Tare4*?la3<h1Y|Kcr-
zUs(DjF*D;S!U6)lg5#?qlynDl>9m=w74Ge2Ix%P*ugfR0N_;WVG9UIhPW;@&E!UAm
zHnWynhVzrp$WI#bLJdGdaQ=>1{VulI{S;#D$aQ#-MUrLQjBJeW>O@|r?<YWu&rIL@
z483wEz(?kpPx(%^rz0i~%yQ9zE3MBswWHd-xSdT-ItNt*;1aBA(^xm!t7~GT+?3v#
z`1zjrmdKlSda*PRa+@5LN$U6OT)ice#d#}P8?znj(k%^OSE{Y*^`6i^7FO0_Sm9m{
znv>%5RyUihnVncuBm#AU)_UiLMajK#U>vy~=rQW27=lI1fcIpfSdNC%Ln#h|6&o+4
zU?x|%n6S1{ayq0FOFu?YgS89adT>>)QP^7hT)2SD=J#EfPhvjOk6JrcAg%1axt~nZ
zZ+>e#>-!}Zl)^Q+AsZNtIj2s%ZD4P!pf$p?)Xa^7N`YdUbJm?20fk0##<q|lE-B(u
zNC2=e4q1_hhK78{m;KVwk#T~0Jhy-sO;c4^#`Inz`}r34*Xi7KVE#x$p9LmxMNE#z
zsz4*na*B3+Z?=5EyG%q{rqI%OLaI4Nycx~%#a|+DVyOmnpKT;#$_Tz*LP8nkk}y^5
z(>XTL+MfJ;PFU2kw)F_?RcB1F>}Hf9VeZKvi<rJSkRU^$P?L*i@-H_B>Eet*dlfr#
zFB2g6UZ6+J*gIH98`f9`a`kk|{%d1^8NRx9&ONSTLjpCD3FLzF)43IRVmm8)t-%jN
z#)S*v;o);2jukss)wKfjQH~vHXMs+>T$g(q!{%zdJJm$GQpoj@fpI~f@<K9m!**Gb
zaz<;L&M(>oDr2Be{JsXyyY**y#Lto`6S>T@tF|3Z&DS>8*?;GZTU!9>li`WgyL-eJ
z*wcauIH~TZ{5g*3kp3MlP<aHuyH)U+eO0b=Rrz>C)039*!qhon(U>Ox;yJhn2$Ycx
zAO)M^Hxeh=U7xLu1FUPnt~n}?!V~aDae&paiR6*-`=h7=9%W!oU_^xbyY%GKM{Hdl
zf>Bum<{us6&0n9bq0r@MX8z$3Fi#e|etoAZsf3M<Ef(dKJ}zqmwoz+V5Wrl3yi>UM
zO59N&2$gE%atkWXi-?HS;Q4=lK&aKMzJwnzmaIVsoA*hdiu6PAz_$lPz&&VFkSn?*
zCWgFuN(<N#{(AM>Df!cj9sIEMhm%1?wZ(Ek&-l-`|BTLmhU8bA{J)2W(O=zkK|{b)
zatO?g<>)egE69u?N-|*WXW9+OkA=Hf@bw~iI8xAvTQCi+og28*MROzKV96Sc*?1xE
zefL$x1`lij0u|vO=89I&oPUFm<x)1owV~8Oma(}x&T;^_tepVt4#c_VTQAV$8?~mm
zTz)!>5TCr?6?lv}jJK*cLo_c5{ksh31(q;Pc;cTDe8GQ23p_!=kYFf|7c8}6a012V
z{cotA84STc^o!R3+D*9umW{B&;fph(u!WCC7rqDTZA5;$V+xfw#Q_K2M;clBE$oIb
zr=C@-;%J~b3(7@v*8Hv9fGC>|Dvvy8$y#mP0Y8L0W3vL*XDtX-dvv@8j@3Ky`>|7v
z?HW&XeypBVRk^3c#YC(`LQc8=*TR$^FbfKFaZ+P$eg)`v;H$PIM{r?#k<$(H9@l}0
ze-);AlUx7B&Y0NGprCf(6`GON(mpzDK`8}`rp#(Ps~*+CZ$VYy{umPa7D~KX)8InF
z6$4Mddr>a{+Ft_7XLq(l#^3+^lHsq>g`ophgL>y`Vx{8ly*izzkl>sJkK?_A?kEn8
zSe|+_6s7E{=w$-^+wOIT-)ISyZ2x*SKgUL*cuvXW*prybx}v)G<|5GZ_)5XJRtB1|
z#%RzI0N(OqTujVyUWK4-1cC!_mHl6$8Gh4ny808OR5ph^H|1kIubIZo01q~!-dUs4
zzd$PG5jEd#Y@GTllgf-@lQd6F0C~W=`*6SB+qWFx*XZi$8e-0=U<r_GF)}+MTJzp&
zI)TnA45w35G2<l!jxjr#oI^G>uDC?u8z52d_A`c;GcJCPdKESguQD>0a;S}2{AgZx
z7j*dvUw<X_G$Xp~c2|4N&0u!i@XmuI-v4aG0#Fr~0ciub$jm;VNmZf0Hz((V#Gr{{
zEzFZ3Sqx_M28f}Nkz^D5sv1-cVhpVMV2+&`R%NkLdceIID@NieuoMYDo>@~%+rnNE
zBz)iXuNK+T6?x)gT2Tv(bnP(>jFXpO4Cv^meoh>#=+c>BkLbHDbLvWr;xe&|ySg1&
z=TsZz`iXtjBnL+2HhOZ&=d~0t6Y`R^;Cp_fTsdNWp(-IMsrZ?f4`~CeQzhs~(7Jg5
z$*Zp33hW)6v+7f-sjT$z4hac?ywDaE6Ba&eU~XR9U7ar8T#&TZHL~b?Q=)kpeLJTu
z)ZU>`{1M`N-I310mn|Mj!}k+#&B;cf!i2Q?osz)U9TAbL7-^w;;gB6FSVQR$3(lRj
ztNz<l=6Pa!=^c7R)opDYd((WlbV0?OgcWTlZER@O>E`6`mn8fme9MQ;6<$t`ttg!>
zMx!BOJh3XGGo@f-3L@jO?bSx}z&i0M5@;ow2}1#5hRMsxnc4xM)jPD!0=)gSfD(48
z><<?}TNd_j`R-OEC}~^Wxrp0&-I<_%cHS5mh)si>7rjoT|8Muz!yMnKj^}?L6RGo(
z6PZtS_vAf07Qm4L;!ODEC9#K2n2eb#-|p=WwKNB2w6IMLhe92(|CUNF3-m-9U8pFS
zw2gR`CqDHsG2-clJs=1C_mV~f9A|TK_ePD|?}v|yK?#K0#MD%SNFL}mCvs*j0P{oM
z8z@Sfxf#fn|86tepyaL4t>&<rufL%_szy=Dtp|NucvQ{bDDa$7(ydGJXi#L`1UXn|
zlz8UzwSCaWwHY3kr8I4ulLvYSVL&^+?k&aQ+$|kc`<SjmI0cZ@ln0rXQVJ{RP*Pqm
zoo3x(OOKky4EZaH$Tdo%fC1<VFwP8!8B7pFmuZD-TSrHO*qNuSXYG`y{YN4|;}mqu
zy*<;X{WA>(B|OHLw{%cI5@e2e7q1L>WcGjp^EWOQAis{WXC-nR!9IXK=v{4rIA-GX
z%x?oeD%r>D)n_r6+IS9Ggba?*^~1Xx9{dk-ryuph++~zjBzlgkW&0|SR?+pn0l-X^
zcfI@H*vsD3*2)Xa7#=htH`WyomK3htfT80f!0|W<vami_`KwFl+}3F=EFxkt(kc!I
z_3Q%_&k+9IpC!l=EJ1%#1g?w!>4{JR<UhS3$|(G=83)j7X%sv6{BfCmE6N4cU|Yz2
zY34jsuevC(B~8xruEL<xY)>8_AO;px#6b$<y#TK;xHPK))G+o?F)a?(Xmx_hWv7E^
z9sR%B`|@}w*EeqGl%uG06v|o}WM3jXIfw_5oncU8i6Ld*MafZ?3_`M0gDhjomOT`*
z8_QT?NS4VmvJJzG_nz}R@B8Qbd4KO;?;r2{<MUz6^UQre_jP@*>-t{b%dzd$jM{Be
z)9+vgmM*qB(H3Q#He!G~0pSaViL4;2J-0^AkagB~0IVl4wKT83zFr;O3?n82VpduW
zNd=hPTnq>~YT4HRJ(lBU#~VW~aXd!|0_HAY&T@kQg%@cUi3t&8*MndBS~cD2H(d;?
z0|8N8C7oare=`lD)K%}!=)pd;Z#Da`O|HP)x?Wta4dYq*7c|Vy-uN^X3xL1{<o$or
z^A&I3epiEP01A@iinqT)WQTOYY+IQ%e>E-KTkyVWw-8O!bvj42w)!&98Gbix)5L|X
zFE*7ff~*_F|7->@AZIuH?}CoD_EA*>@_x|PBFG_4=u_N!<{!8sFCt4|d8Q&)JXsT6
zxsiP0;Jkl}{+}pj`L~Z>;Y$fgU}k1i!u8<n+L4Dm5ak~b^uH%|im}iR2uJqmhC+`K
zO8Eo}VJ?b<nfC+WB!5_=A{rfAO@L$UqfM3v-BX=CPv?AvVP$H?t!Mpa&M{5K+`6T7
zRDOnZar(1jEjdY7!uo6vNck>)spYtTa$FPqt7*cH_Z1e75jvqVM77!ZZ%*m_t!%}?
zgs;q_gpZDz;rT1eMp3Pfn{n6rtpPS-;ITg5m?hnDzDCt<XvqJ+Abvht3NoX+n}!cA
z16zxAr6HkoESA&tb@YZ*DpB^*SDBloD=zh?sxIVA>B<=7kMo{aEVYZl-wcqJ6V@##
zsOu_hxWLtg7V}PCpS||xch4;xpo*dYN@x$cso))K6xq1gax&>ojG|`U8Pc4m4T^x?
zru%Ao`g!e%jF1yHwYsJ~<I2RuL}8$+q`cI8Il|d_;VA$yNWp3TGclx>Rg)Kd{J`UH
zP4{>2(2GF8uQ$yJkStv;Aj7Y^{f+4c(;@r7R1wsfA9Xvh%k%f{T~Zl#zG1r6Ewn88
zhvIKGLa%*U4n=Tb$K&SI-f_>hyOW1HPrm;&=YUa>eiA#~eOBS>FCFvR+099YL9JgW
zvFEV=AvNx53k*?s#%c+c_V&$x;U?CmfGcZ53tg9&KaIwG|Nfn1gDML^kbeM4uhISe
z{Uj&Zx<(AfNe?u68qNE6T-aiPj_vxlJkCJHrOyu{Hs)$oPJ$z*0yKtY5yuBl|BBI4
zXgdg~MSoeET7Qi1Fj5_uN+EJF@C1e$tvr!&@#{G?Gso*$J67{YVGr5qza}8c8>dUp
zkwY5(lVM_DIGTGlXaqV8oh4WYe%=FM>;DY5NH*<r{pYkjdd%{hm$0{w4<XfD*zIml
z{E+`_&<rc)h%nRC*=d45;E#xK4ak&Wd-hD<R#No5wmIe(lkRP!vzq8t54iOA_?|z-
zznkn|PHX>7>G<(zAMLXy`)>e&;WBfd5pG<-lxlO{vo+_cqe;r|HQs*;HmwRZY*DE)
zm21~m)f&F$H)bbxs=LT;Wo3~1LtCy@=7cV(0LWyY=O@S(TWdhaGvp#~UCbD~XY1d@
z34^}CC)?IfpKkPD@B!02-wic@rf+fzrn$Kp%zoW$iI<6iC|k3$vt`}bg0eENmokfI
zP-{VtA3rw!Q9uHNcOsI195fS>a%zC3PRG<LCYV_iJN|2Xq;4G#EFK&i^Utc@?L^P4
z9?+EWex4u!<bhSQ!o4RQkSwD)>Og-58^o<}|68En+;+LjQ$QQH5=crX5C|j>&<Pm|
zWp;LUdb#1O{<Xd3$Nn}9_`@YChA+4)eB&|y;W|+Eq+N9@#RQ?VQ+%o8<JN?(t}cfj
zi5x>Aa@uxS=R;*Mwz&Du_d^hg(n4FPyCE|de1<7ID`nChad1=vea57RS@XZ4>AyGs
z|9|{fE6{80Qh$xX(c2EsTRBDxzIShV!=<FaWOxYf()Q3BLH0wJrflDbR5+mzWlKRT
z`PZ$?kU~8Ca+U!B<e7wdyE}0~iI}W-87(jf@guPxZ~msY_NAo?pVSV;B+*jksmh0p
z#<Bwn#U*c;7=NwFsP6}ofgzqPYyA{MU)8;#w+Jw|av1G|RSN@`wjItY5c>NflFKB`
z0876KSXfwClA(~#lj>b<i1ebW03(4OgQFt2Vzt*5_huhQOoOM5Q+y29SqL6-BjqgG
zV~lm79GKjwOA~fB;LpjB1a!qa*sxoL`)1TD6~)D<G~mfCaV1fzjUx#f&drg`-GOl2
zdiIj1Bzn;iwHAh!{H03TJXvYG7<gOb=a_6~xy3e_tO9U9g#S3+p1s6te!0((fUn@q
zHR{_2UnaQ&I;&CzR63*D7?NZb??MXDhvAHZn_H@7mo-Z*ZCQ&d!S}@H4-@&J$%wX+
zj~Fd*Iw{Q&Gq2=PM(FLe!(K}bBikAeqI}0^SeAyea`0$(s#xWI&{wAq1bE0VIhQgb
zoVwTRJI6YKK2lBp$sb!`E$)WR$`e?i=0(X8tQnnEUE-9CO(T-zgbdGRD3*=?x_Tl3
z3ntWeJ$0>r!rK%shiWk`&=(C_mwNMkCpVS6<2yQ4IM&_Cz>v@UoBe869B8+|UhA;)
z!cy(Lyhy(RL&170pySa^Js8^-*dqS(Rqk*>;%gwPJPW4MTql#snLwc=0H`!plKU6D
z)jHBS^OYLpAMz|+LSgS#j7yx0=(R;rO?!T;?sAe<DYLG)JM6pE4nMGjbb3^zFLtC0
zW2?c4y2ibpfSI5rpVQXPhSf}6LJNYX8u_6u&F7<yWt*;^T?YLsXvu3GFhIZF7+ESI
zUUgvDV7u{%Q>6rSf4HF5LZJd3fuuYj&*IZeiueoHS)k%|<JbjcuPI~eG)isYfFOD=
zYlcAZ67)oG-`>k`^G9RAcrE9Al`G>9`!cQ-2-0jE<AO4(Uv4HmtsKi1bqfM|kbmKH
z3sf|Aa>H{c;$)h^JZ$gbEI>f~sRJ%7P9P7+bzIHtI}?~qj#{a2M;nn=R}X;%k67(W
zMDYgWF(4!pN&=HHjs19*d{Jw^p~D4<m7ubrjjnHKAV1d@$Vp1MJy<(k3xqK9u3WjI
z6A=hwi``F{51oW(rc}jXG%h0VgJNTYzoX-9&b}`&=o;ASG;7oV5Y?b`KRH|jDgpdS
z=gDCats5H~K%->AUKDip7>!LvT<ZwEfwP4<!=@J$`_uklVj^X}s1cDuWo~Rfok!rQ
zk1)o1%6hmQ7-DK@=;8bm+8vX~m3ps~?dy>7K$Z%bXLNi=uVNk%SOUC11xMU=LmOEQ
zQrk&!GFCuIVT!rd0<#WgSIZ%L|AMI5O9&AQ2Ub9=KG~7(Ws5?h<-kEHK;U--zh2nt
zFc;nF)F)sk{3KUdHv<93wtS55?JS(~sCqXOc#cE+LJpT?Y~n~B(ZaK?8wjILUg3D2
z<&0fRs;ZS)v;obDz`|%KD(<mBHItk6JvH26YV>yrf?h>2A|HVLW*&r(r3Ysq5GaR(
zDT2$ClUqfi<dprzbWn^@Tfvt(TqaiOJm)|(0}YcF^U80Z=ackc32>kvvH4(ku5=|~
zVVDbfAGBy0<j)7cFcfk?V#EHz9RZ5bog~tbnA;6p11O%<nN$6W$9%%n7OG!S;V)|P
zea`y1Zx%_2rSAH@i?HSK>6MWJ8>V7`V-jq#!Lgv%yBEA2>}otFyf%sMA`bgst6#<j
zml?-554`>fYzDR~gKhxnd)ASjs8{dj<ODmqM`1_5-re2JW_$jnq`Cnxuon+H(z#2j
zd70sV`s>%LB<cBrKl5?KYSS(ewIQiAIV&6^Xv5)S5BedNVaUg;&bRLd9f&S-?%Y7F
z<pKQ^E!m83lU_f8%4}K6_BCX$A9$2z54UNwa91Fi5upFd3%e$HN^W5bQPR?tot=FQ
z<|*A_Cro?*t)cysw|^s$BPK>it99j93biVBK7+dgp<E?~q#xW66?WhPIXE;0@8G%1
zr_)}QKG@6SzW?z~W5R+#Gi(6ffD%f+_`<gd^O&8dSPKMUV1h0G&o9nuF4*ZE+5xGh
z?}E=enMG+vXEo7LOV&7<gqnyrX*L?~R#?m3BX={CCBWg9ijz@*qX_S2RR<-BCy>2;
zYin!8Ks4HZB**#K$`wC1t`XBxSYbiI(hgXMU(!?>`uo_V8Z2x1fL5d}P*G-%2rBcN
zdh--9aP#I(`|`1HTbxX+_TBJU#E6v0buiqEWH`=Rof6U=daeY~Fb1shQ`mxcUD;^)
zvVZ3lw%7}v1S>CE5-FW@Fm)^E>5Ar1_>-+-5p?ri^*l=dPEkdpWrM?t8td%>uD5q>
zOrpc4y9gZ9)6)l_AqbncEeORtU714QVw3cKL^{a^`Kx=L-mygc7gZY?ey5BK9`uI3
zDpdZ1VX)}L#$DY}F{mS5YEjtN*Y}$kF$me~+ASWCf(Z*FL?Bi968p1M0$yUy0RrLA
z0~%s%G8t%7^=B_BCCsl163OV9nc?Be@&`J=W%__J+uVnoxX$@C@OLB<33lI^QDcv^
zzPcKxui4@VnjVrc1=wmaP6>EbF>E^Gh|0-@obilPas`LTYBY484kQ!iOH4PAKPIik
zua~`hcZDsn^Bq{+I2q2*cPk3-XFW{8M0cb=zNxE={1vF`9=Gp+wg)9tkcxd7`cBPW
zyiqfCUeO{omW$U7tM-{ptpx<Bd*FKjg_p;I*vc_Ue?)EBXIU@#4sjk{-uR$wSJi=r
z#<5@ky|LL#7m<dv&d<edei?7xywUA(4rX5YHr<gP@B_~e?qjZQRtSo5lFeW>?6P_X
zo`gb8V5{D*)FXA&8y1E~;H7Q8u8?<0^^$YtgwnqE-M9>|IHk@D$*H1g<lq`a?j8I!
z#-mH1gElUf8xl(1YV$;>NK2PjIJU@t_-3{!d?zq)Plj=+0LgNcVe!1RwUxhf{?~hu
zGbHt;4VRZ>D_`EPa$qeom&;+?LMh`p-`6)<Ryqg=@m-Bpw#d|X&U^hd>v=<c{iHxr
zmnbv_pGt0NezFppEaMViz02~PLt;|5sBUJ=Tu8`9lG{H=X%x6(_(g=AqwbCa`Z@?^
z<o8cfsnl@UjK**9gXs13^(H#p4Xj`U4GnaYq`T*8gj<W%{@%OM@@47F>C@9_V-;X3
zpRCj$NxJ3Hn|UVdn*er-!u&0>hz3))5#bat-TFw9XjZx+`NG#DB;;TY9WDwTJ9dma
zBsf@^w=?K!S`W3$Z@Q<XI!%8QxZE*EKS7|n707rLNh?|ka@EK227F7(p{8I4tQtyh
za&dF32prOaiqFM<j<|qqcEPIY;hqt@@TaOX!BQQWh};2>OICY(d-U|>!w$b`BPbE7
zH^;4=OZ)0lshbcNr)r~!%?>`>4dDR%AB`L+Eb;-}C`B8j$jHdo7-4YKjSRpXO5m6U
z+)xG`E+e`>P2082>lbn`l<rg+AxZj7%gMv}tUF5k#hBt}9{Klza<r)@o9!N#x&rN#
z#QM^Z9E=YDppv{7E{s#s0owtI{-M~<DfFZ1%|f=Uh7y1djrZh&p8=nQRyIf0s-t~p
zBbg?F;Cj~uvxgJJW<K*`YxOO6H9TigUZdq?S+W{y%3oPUx9UEaLht&&B<VRNVWvX~
z8h61XbF^3xW9&_(eVkA50pZWlt3DSEaUxq`O|Y#&M!H9x$4Hn<HJ9HhhTPOYXTO{g
zPSO*9vHb^XO;~P@sdsO0PXd@R7GNyip`TU%X!0WB@}!v4FCxQ*h|=d8N8D8^tUcED
z_CB6h?XOHF9q4i)!B@HUWs|7bZ_!NRFP@cok5y0y>&+_67MmO|qhPQJQ)5r;G)~_`
zbXSb|M+aTy&`Xyj-}>m50=tMDd(v)Y9QM*h@}D+0GF9o8HMRb3*mQ6<*%j}{pIj9I
zhJa5!3IEC`;XjP<QhVQNK3WIp%%ADfYf;s^T4)Z@6L&#hwn6K=L@x<L!V`)f!X0?g
z$}KubOf@hwuG<Vd3I?A4`OS9<{s93;1B-o`{2Alq5P2b+2rhp$7Q`jux`b^FOptnG
za<XNv4sChr%o%l)^pCCd-GKl+8UQ}04#NTh+(a%Op2LUd6cpC*k44%0T<x(-l;2NF
zl--*28Y!Gikq~2-Teb6uQ?dk|U^a90_rtwuv3A$g)z_bFu@(vERHwv3FMFO&yIK|w
z;k6j<LB2zecoSq6w;u$qeeS#uieD7z2^&Gai^27ul`GNb0j2i*37{Cb&mrj2Cc6cr
z3pXvhh}f+cKG@btY_&l(MeW$h0IQKVuG~GYg$76cn!F_5P=}0dd#N-Ar+h5xqoU8N
ztK;t_reu)IVZbT$WlJ|L&wofRWU7AkOc@NC9IXkbQkdG+p~Tc}clK>JPNC<<)+Iwb
zN%bR_KmxOHT%bJLTV7SQvE$+EV}c9d8f9QwaV<bSfwCE^q_wr_%E`l9A82x`!9ox(
zFRz%O8mOX(Ye-}n1&CcGeWBf%?D96w@OlKGdk};KAh}Zes3KmLzJ#f(i*NdU!tAwr
zP|3U8enr=liENmprSJHd_P|zG%e{$7&g$x#?3;G-ssC%`-q2Uh;&@<%7I9@IQ&8kc
z4?$btiOxA>eU$|&(!&!!Ry|&T)ML-{zBp}xhM29|2I4Y_1iIz5=5j!_y6hn$pp2`Q
zngRos*=pn?j|=eYdWw`nu7l~~jwso!-DC_H`YglnN-U|lH28KwKEBRceD^YRz>U2B
zkjJ%bXlQ5xc(r}?HJF-}lg!WgUQ4Sw@L+^?Z8avV4xqr3)?kA&t{Icu4vWYF)^M`d
zQ$Z^tq6Ne@aTqGFbTj9TnhkOMY6G?ir$4*Hp4)(Ny!ji>dLf<@9~P*$zKx_HSOt>w
zXwdVwcumxrq%((9>Ok<oP9IKoDKf1b?d<%_^96?P70WfI1#*6vFXZ)mPjnp^GTiu^
zLCXIsu$cE4BflA^))SMqMImqk4qX<%z(W#YAXH&ZOOJ3-r1Z2Afua+w5g;IBuSiGw
z8Ab&;F}lBSAKy)E^USdkk#NZe_&FCt(0?^GGeevBqm1SUkVS~`>kA+sdWo2LjxSTJ
za3=V6V&QwAu}LjK@OZwK2OdCsZ@ekBrrG0Xs?N(d>iv$VueR^@tB^wP19kibP(({)
zEwC6pS~VZbaR)YA>}vqeQX?Jvoo|$&s<IRNpLi2qfm0gr7_$^7;~?KLvc3EeEMIEP
zjtrvMC1nYOPYbp)O~vD(;9M6ACNc&U?%O$(=^s>&_8&`E-{1NP44G~b!sWwGjiJ4e
z8Qs5~WEg)+Uz)MW=P;49p3^D%^FcF}XiG@h9pt!gtsr~hA(=1-oO9_)_T<FG#WakQ
z?8JKg`jX&|esC~(I^ZZMJOcoz5}8F+h+vdwssMtKmT0PHlO)IUFkK6EA*Z<gNDL<|
zYoUIfeU5uB9##otFReh`{#v5Sx*{dz)r1F(jc9Q;PL<#{y+FsoZMjaauCAd&Z*>m9
zY5EGXqKKYu;9ZS_LqZ7e%fD@JZ}ZF^(2UzAIIXh2D*x1M%75QawL!b|z4F_Y>Ezjx
z6$$jtt*s?Xqt=?fZ0dx)p7<$Z1t=9+hC+#JL}E}~n=Bacst`h@><CA%loT276qaa=
zZm4=y$}Dn0!paF-eo!V@X$5m}iG^nQ=?Cqn=jWdP@&~a@UB?%!%p!zZYXw{0fUjQz
z>t4>f)(PWXtzVA?{fw~?4hWh#fc}Q+vB`k3R|B{EmMGBG1_#?U)kj2RT-`041`P31
z4<>o0$AHFlO$>ON2MBT~-j7w>+QW3GCgtnPo}1IIzcbWa{`8y|D1xL*5pP4R;vf;B
zRaXV7t1!3F(8lG6EN(g!3W7SLBf_t&J|2Rj9A5Y~V;&-VhvqW9QuSbqwkR_+?QCLa
zZH*!r`%S)pl&lzQR!Gu&ZQobZ&Ob*=NqM==kIsIGzy~1kU`TER;9OLK5mhd`EioeH
z^tkK-@=VJ1M+~y0nha>fRV(#lehBc)HwywdVuGvgNQc9@u_;w!WGZ2)Cw^X$6`Hid
zeMm@1AXzoMg|D<a8R}&9xKt8S<RpnvKnpFtbY;?4IqO$g1ORw3%=`vY+Vss4Z;!D-
z>4E}lNMH#)oheS_2I?0|4Y5=Ai=;n^K{4D&Ny%!@?y!~Msi_(Nn5f+46?eoK{J;+~
zg0b1~+oL)F_4o9s_|)gk(3^^l&R}Da;8I|=P6>vrU;nnl4=N(rX<S^`MTuoINvnap
zH%Ok|LEns*q23Al>VTB(NUvtjK0C2~67zLr$`oKft0GNu2E!vyfd6CW6pakoG|>zU
z%pH)nraA3lo|L)13J6m8A+*e56pcp9A3Zj(^#{nups>|=2wpI&F`dYTlmxPNQ);RD
zR7+<2#XE6;W>8_h+653)McWQt`N9+ui<faQfU#LLT~q*XyB<2fR)^-hy`i-Lf(%wV
zba8URywNa{Rs)!i9{_stX@dEo8e^-yLu=m=7la3K(dXsmWvqOOKL}1n<U3wpAzp@*
zkiA~8tdXIixm_~ZDpbbejr)q`6}g7~cmV9?75mlcd|)*xH$&VsdL|PLskV$&|NcJl
znl08@F|&`)6RT!}OFUmy!)3K$no$gEn%QbB;?K+OrkKS8z%2};>Z3stqS-`}embI;
zHj4OvNy;fJQ|iiX6PVa}20&0|!SplJBpX=r%fu|^{x3-Mm_fZVUn2h{Vlx~sJQ`72
zW|c>sbYJ?-FlTOVE(VnHQEh4ZM}{~d#)YlR5MEFD^Hw7hb6SQ+lY}$d!iP8X&0z3~
zKF*-W%tr#y^CC2JzA5+Er&GhgDtUQ%9Ti|~0s3C{U1DO8zV-kZw!YD2g)&eJbYvO<
z-kbx-N{G0<j2i2rr(xj?zkx<shLjXTAp+n*MldF?Z>W-z+<NFa>ql#YO!Q)WQN>qy
z2tt+5Ym!C(-_j@e?f=~?_p8xMIU(ZpO&JkR(XOM>WNY0@a;qT$L>CO>kxIi^-~x}>
zn)5Ebzb-`78h)L2R{(t%{q_gabaOvZ&XKoolIdC)|3Ba6CcVM4>TMdNtfP5bLWuZQ
z<lC+=`|;Ekwdkqi;Nu?EpPdD~Gi=xC7~|-6s^Ho+ohg5F1gei)@FLWypr(863jc6y
z82z1T;=eZnCI)+$5Rd&;;@E@3cf%>*!x<Rv*&GM`h&PIZu$W`*zw*$fES&@A!*b~r
zgHQe^K>O??OCNVdo|oIk5E+_;iAWM1#Kc41MA3Z8&K%9y;P%mcC-D!<FcD_IID^-?
zB|~oQkq@fZ1ikhLI+<}fJVp)J?#5M7qA8T9AFPSX#YCTb>Bdr9q1;PyhxjcAsW(JY
zH!m|1$oHUHy<kHe2V|^QkHEcs(2%;Rp^J;qr(iL0m>yvaK}YlGi^k~|f`;I9-fZBy
zxscbnCR3dA9d!kLN-XA_IZe<bbvH7p>QXP^1*S!GoGHR&@UKRLZ=7H)>91rCi?bt@
z=mgPp+Qfs&P3E2>tMqj^V`Q6aTZ?dbcs?i7Db5r<+r52q)HeUg0&4lQ#$K^K`*Rwd
zPl!|O$9bOT)!oW_+?cvqQH!Z&Z^m1&Z)&vY(T*A}c@{)Hax2`?kRs-??TdZuw|5@%
z$%#rMv75Q^H#W7AYtek^pDFZxchfQe8#bsv^X5|5_0mfxG6T#MRc~s})}W^av1s2)
z4F2lJrC70hsbUZ*#kc#3GoQs-Z8ep{gWU~M+kjOORe*6(pHhbr6KoRb?U4k+xO+@<
zgm&hr^bpY#>b2}YeuWi%3$9DI(x)^<&F&~OVgm!lYB<04nGOE6_f>WUc$hSFbE#vC
zGV|`2pt(aTZ2Fz!(F`_M&{tctoYsd9f0w(nS=PSL<LR1;Dbo+O_?R`pZ2z&=26vem
zu7*b%;+9~%C5{fdZ9AYWW~zyrt97?k`getI$D~BPL_3Jel8omX6Vq(e30x!k_3yP`
z`Lypxh{zoEKA>R*7ndxiqVW0@-=zJUnzuncJu7O~xx%vksG!ZidjTo^n*2VB!9#+1
zE5bR$x42!d*u3%ACvi^|f1thI&n{T=@P_8A2oc$c4-y_rS5N$I3zgk(`)6(Q-!Ou+
ze2-nqY7lP541aF4z5gIEvYQNvK}xA-^k?|akS&S2o7^J8#2%e|TS(#QJd@~&-=_qK
zn~^THU5(!Mmqjin<cNzP<~O6&ZSPX-Al|vXi|9iEw~n?Tbd|Lx%XfI~R(TC$jImT@
zXwxQ@(LmFHZd@EYE`0)R`EVTvMZ2<G+sN2WtniXp;C9Pvez6nc9F=bzL-9pERxJ(Z
zeU(fMX(1Hm`jb}|rRJpbbLBm%naM+8^5P0Z?u=9t$5uzwFG8wKXA|T6L5kiM3!~Ia
zF+u)iqZG)@$WZgs0f%P@(SD9)yT0AG4C_M$7ynfCpNmH(`QA|s&wEzu6lRZm_TVs1
zV2g!X*xTsQ8dz2I?UqsDC+zvg+lI_hlV6%EtHN@FzdxVr4hmDWE68Pk*u*D(&8zIe
z-p6OPGks#G&XP<7ZdK%lzv*nByI<s~p{Hpu-^uQ4^YASOSQ*Tv<;<fWU+k;oz~u+q
z{$nH_JgQ-2X?ee9YsnFwaB^7OWMAD`_}rjJm3L5uJf;xulqQ8Qx=ygTSvPyX&{?P`
zWgxgECTZJ@QFDf1@Y8%_vo5`+NxJ`P-~=!DROxv`onm%yVD!~3rPtqYYP{ivNG5{<
z=e|&tc-FDGUr<e&B=5*kzqt)R<^-tlhSwd3PUDw)K913$s~6AYn0XSM9UzvrU$q8Y
z63J)4C#FBV*9!J1-!>DI7&HI83ajH>IIz@K#VM!cQ0;$g(4D!#a`|e8yEmWYg$S(-
z-x!X#w4dtp(u~tWDVu<vX{yuAywLDuuTq~WAmC3aEAYsFIt7Xm3=D>~0VrGPol;R;
zgfI_Cu1BNdckLAIZeO=p2{FQbcyQ>#7`c5jL?7qX{!6Mbkjx?jIh^c_u}}tCsim~^
z<}wU9dR}29y))uzdsB6o!S}zcMn4*XTh4X<$Gi_q5ZK5}=<8NVv_B!^n0aCO%NqMH
z%e+#3U%2d2aUy6OGaOGd!u>hPvFvw#TPLKkraHH@lc{a4L2$Y-S1dXdwZh0uX$gBA
zwa#rMRhg{`@u&J`U=ZzYGLWu8y~bfkDkcY?-a-%=XG*|Kv2X9Z9w20+n+tMxHlCS^
zfjeP<PZ-i#flqL0o@PIehY?X0l1M=WZ$eH%2Vp?<{iVOfp%#-t0?M-0U`E~2{SC)X
z97X{Ow$l_F&k;T04`(E-*f2)!gb7u|$G~{S-0V!tqQZly8<mz*lqM=CqeQrY4aj*j
zc5d%WCnA}DFI!`VGY1szreWhnmML23diK@lp|mkbSs$k&NNwuaq5CI^NCt4=(~SU`
zLuqtOc5Cdx$Kt3`F0QXugRW~q=&`H!EO<-?U-=5{_8bU<S`;SAas3a*gOJBj9JRuF
zlwMeEg&nR~FzX7DlR2s=Q;=$iyNF(dD1PiKL57+vQ^n_xKkj6&npA^YWkm2zT6u>O
zFSbuJ5<=`+E7WXpD>@JU@u2ke`G4~DDEKg9<re?_W0kA7=r;)I7-^UO<rwup0EcX-
A6951J

diff --git a/reference/ggplot_sir-6.png b/reference/ggplot_sir-6.png
index ce5aba3120c89e22c023849cf2bb49073af586f3..cad55f641c36c5da148dc4782ef2bc32666b7ccc 100644
GIT binary patch
literal 35026
zcmeFZ2UL?=w=Nt&K}En0O4Drs5d{(HO=T+v1QbQ2Mx}!kX`u%!__;;U&|A<gMWiVm
z5<-+M7+MsR0D%Oh2}nW@Atd=%0QYy!KhFKeIrrW%?zsPd7~9Pt<$c$hYpyw;=b3Z8
zk1m-Ti)=fv4FZ9Pz%Kl534v@5fj|UqZ4m^okW*gFfM0^QOpSjBzrhdF2!jN_w)$PL
z34lPPAM*b3C5+CxKp+Ppu;0&I4axdBh)konL@KN>*m}EBJMKPr_c-;(xiizBOQGb_
z-^iPg-p=SpRife9-CeX77@Gt%?Pk!qqe8m%MLqDAm6xTGL|S2SxZcUZrz1B}<&RN8
zdA+Tl{xsfPc<>+c`(iGfbw#Cz(%6U9Bw}MWZHcG0PX##ybRcN-NGg@c{s$=;8$e{6
ztqu17v;Vsx>Vgvv!3qiqk%xzei57E{(8lbMJXpEs*Vl4JMn(<BlDel(eW{;qmIQB(
z*-pKN8eW`x5R74e>&Vok8`wJal))Rzdsg1sPI;jsR0!eqgS5Q?i_?KRZgNadlp1D`
zHvN#hiD$s*2c_!N&3cY32Az8Y<*UF9LBY++-B+eAi-?L=8yg#As(OedTO!Oq0yQpI
z7wG9Z8E;-N|MR8l7<Rr>w~jOwSwNa{Xmlf@6H!=If}4<_pmNqAqA6D7G0NV?E3(W_
zoOd5B%O@fsUL_29rh7@y^vKA_mH5Dc-rn9!6jqtg(cnm5@Tnmm&C5!=cV_kxtdvlk
z-I3sS5i=Nd1+_H!waBpCsU@D^QxhJ568mavXmIM(!c$@-snj7AO88^15`~dwur{3=
zXS{yy6sZW($<BZlT`Tc4?Aj>;ELQUQ^Jf++OG{mS@iDpDn;i6Ux@#h^)MCyH7F9)_
zj+&m0hoNF(Vhqcwlxe{jFR{W|byz8FYD#ysRjCZ?RzF<_^HIuMWtZ61Q2b6A2=k_N
z<EHyhQA*2jtfY^Yz7S#{D)ic=OsG0R)(nn7e@rvBG%19g)Yi5^-TQV&(dCNbsM>o6
z-uH&y+Fs)GMTtXUilZ5IK1*Q@WfpMU_pM+EQz-1}r(p@t5*5>O-><K&81jT4KYl!@
z>go0@5!df|!23F6p##BZXquOl+?`s}8PquFLv`>nL#csVLetaImIL8%s%(6GJWh_F
zpqt(40aGrma?}I<Vproc*qs<rPnycsJbAL5{;1fi+N-Q#X*cYebcZ${@C8@JyaAkR
zM+P;6t`n_5Ix8HK+GBggOFDCk^ZmnPg_f3<#Cygk^=PWF@<`SahQ(sR(?+gjn~x_X
z4p^Cln%0mT^k6G1D+Z~~<c}XeeubGJk=)IBNeFqHXU?oY&plS|uk`5dY^m!MH>2-!
zjR|Y@rnY`(aeQ!XU|wUN|JtfBic{lKB2wS2>U>Y_66mOU&QD2yTAfrLSjqw}n#0sv
zGI*w{R$4##+Aa|r795U5A{7Yz0z#r$8BhTM0pF4;$9|t0Vt+$8!=WuzMK&WXt=7fQ
z&+o&`%uLgmewJeyW6-j-TV_ftUfP1aBto=_YC)KT`GV;))t2Ji4E(6+NV@MhMs&=g
zWU-oA$`>+s{8e;Kl0Rv|XP|q$9`2>@vND&VaB}SPc2QCE2?GNT6WWMa{Ax|b0Ndeg
zr-V!teaYC+c?QZEYy&!_E?_**$;qiPbHpOvFH}s2F%Y1s*P|+BN7Ls1R6=d<L`Xv*
z_*I(~gyHg3l@|%EMh$|@jM!dMvB}KJ!iKKQB?k<u<Y7Zr=IVL3jY~*C9wlgkT|AC*
zp6JRekoQQn#A$T94L3j84Z~eF(Pmv3TiXu%@;C3DQMRl8iGeLaZFJeFiibZI!{`@K
z*NVPI{^leD1MAa<vj5~+MM=w*$qz57N@?oY%5$<~_QFSpq-A8#NAv7cpplW0aQnt6
zb}Mwhl$5>Bi4!yLEL+<W2XHQJDUD&jIgOpv(h9K$PF}M3{kUCq1TsHzv^Ck#q-$z1
ztjM)r<96?xBLq|1lAfK@+jyA=vM;|G{f;~l$T@>jvEVM>xTLS66ZX7&VgZ%gvyxF%
zTJPENVtAj5<0|3p+qWFc)}pWmN_Mun0*HrdHH?L@25XldT7Qe0YxV5xEJC3VgP>Cq
zWcqP;hMOOm7X;X#5Q_|kuWduvVyC1pb`}L?$;-<t8_rp*ndQ3s0n9zb%JSWF-SBB6
zpDHmAWZJiH-wMALSvOWE`JX{eC0>-PQzHn8N@@A^15a+EoM47DOL^Y7G1LxCt+XxC
z{Mq}~$$yFMQ^VrePU)H|lAeGqCl~5bvKTi_uAw5AE%<r!y#6X{c3aEy@J>V4A73^W
z8oSck9b2aBhI<SdB7E(Y#_~Q05zdZY3zW}aY+8RoL~dv^?+y1Od@8)(r;WCTfK3X4
z95BJJ#h*`?_#JtFN5}4(S-aV(r2oFe{~24n_QeUOiGe^^2jjS)IMBwl5i*PuNJQ&P
zB7XL&8j#Xnym-;`M3WK{h0-M1TFWtSqEsr$(_+39Y$(J2Kg`z&m%43WxQvl@ko8!*
z?SJDf^&7~sT4^k}&nmP=j>(1+&B~z!)5M6|%(+o&7<&qi?E0yC@7}#>knem-7U!#a
z0#H&pBcU+m?2L^1m)#S3;Y(>CZPQ0U9L#nsL$J~M;pQfD&Cnca35i<2V5*3u#xWCr
zmy*SXjbwEJ1V4sm)UYP{*@$qrA*T~1XPSb*3|=cEg?lQFX2a0BAgey;8*XlHrX-C7
z!F*_oVFkPoD31OGm9_A{h4Mlr8MT1fYRY+(IX0{u)(!rd_A?lxsldEcvN#OVvlw##
zG2I^oLls|t`#sV)l)#%SUiJ2w&Dg}m#O#SS!^vO__fAMih%ZX#<Vk;OPl+8hXM~uD
z9a}6zvOUzCVq;@%^O6{HgfCyd^gny{jEwpMQZ;QN7$YvnY=aW%fjUKQ`ZQ9ay(Y+n
zy1COzu#~~TZZieqsX(3V@g7_16%%I16G=^TscCfq-tAjTLFklc=1tJKi#utEL}!2h
zxvy#>ngf1K6WX<=j5Z#QP%lE7%^7!-vZc-|=9v@WD50idv%DnY?ZNuR*u#!%`}g#|
z>v%gaHfLcp!}!Ns0xI{bXT$fW)f?$w5X3TG`oGmv@~@MBN)T^U5GafqAwE;_Woogy
zhCB_eyA48;B!h}XB3k05hd~Bx^D5z<>c;qmH&EtXo0BZBnZqeMq^#*+7R}ZRm37CR
z_19m26|h!TIDUbF3&&vweG`G^rv7(8<OV)UsSlb$qer>{Aj1MPMj8iX!&kqH!yQeu
zN8LMN6+gKavNms*IfL^KAda6%kWVoDRtR6|N);UACCs9){S_bwdV%aYMBwFaZ*ukE
zXDStWM{)FCRgY4N3LI@-kT?;o0plb<WtH-d<#-&)J62Ma-=m{J%6crWf|in%wGfpV
zo_Wp-qk~i`_dPUcGEfJZHBxHXY6pPqD6ES_V$?y&=g*%nHMd-0u~gEcK9m1|lEshP
z27b;r%M3O^2UU}&kq%z^jM=!+-V>ZSw{yIhDNN=R=uMx?OFBO9AT&Q|2a5^?K^V<T
zb!I4#bS90m&E1SqH433YqJkA<yON#{yLazyF{95k_~vsjzOgg0(IG{w;gIc&&e>wS
zf}GhMY&JU^>Lms;g(qtJ_U+iJo-hy0pn(^IHi$S5$3?i`y7fKf-Me>tyH)P4c~(f;
zX7L$$SPhwNi<)<<VK5lniix&N*M1X4gc*HEKeDvWvqa7K(11UbC?h4McQYblbsiQ)
zpDZfFAv!YDBddDEk}N6Jq4Q&OIYO+6B&8u>ywkL$xj9OckR!!x70t-VSh;ttXz@#n
zPP|h~S0iRB8`hb=j&UkN7zvH(Bk&G{bbF3%k(m>SDIcR5&yp-Tj0rl~wO?LA!52;W
z%4&tuvz^)>7bJw#(k`G?0n90cQo**(F-7H>rlK=)9ZZ=07jt-f25ceUB+Jgu;VmI>
zW~(*ltCMuo+fnp95$A{V0!}+-P3;w6lsI6Ph`=*|!AqFRL*wTF_)tp3LJ0!Ef4TAL
zO8`tnY7)>;uL5}7(hlH)(y%Vis(Ry@xKz2i=V05Y!t^gPY`u;f<JR)sjTbh4e7*(U
z%!b7&Qe(tmebD0qqyesb!v2y8Q>EL1(-$wT+w8U?CMIT)Y^iLD!r^c#rSQfm7ZgBl
z${^w`-%uPKh51m+UD{sKGNggAOOwhAd%|W@j@#i3yK(-bt+H|xi(w5`YTl9>x34FS
z$dz21`bY5QwS^S!zAGGJs;Dx#7)DxLTzrB6tYahwnyTRO)m8=2h@2dK*V*qMa*C@Q
z6GuLP`E;5WTmc}O@zs`!cD4Wk)JnACFaj*^AZ&>?h+({ZSnWGdd*?TT3yks=xPCh?
zYm_=*lwsw*z>DTyR(SGaz|i%|A$|%E_{cHEVK}t&Zv<(W!DW+Bj+M2;;)}ZG?O?(s
zAktRlB?+VKbDWP7vS9{(L-?3(uxEV2E8Rr5Z_i2}0Vr@WR$4dsVkeF|9ZZFLMY<`D
z)`QgX7OGNGg?<Y#J}c+bEgtBIcFIt5{3a1dWV*qhWxQjS0t2L3!$bRLg2vksJ0W^?
z`vyeU(TLN7|3)GIXHdxhPFxr{?|_f^L8l{KQOL_C`!D$0qFAViyq=Z9HE?dfmT>`|
z8D_#L_FfLjBM)J?Pd+t<fcA_H20XFhkp<hS7SED0*jxjY4id3-``4Q8iLB(2B3LH~
zBQ=I^_pa??;dgh*@4_je<JnhC>WY&5?*L|OgBlS}+@4}t3M31z&r%u)pG!Y}xYzWo
zFm0!_VeuAoSZJ!bnc3jyi9ob|OMp4R98|DRN%X#o@m#3y#koGf=7rrDgKus&{Ry=O
z`CVyXEgQ#wxw|doAwUZy*St(oAn2L#a7+!^+sxctSurmw(^-!Y%L^yVpY8z8=4&!n
z57lIZHFRSJeZb&up%N6dRSD{_))!9w(@UACO6xL5_A}ll3dRg(CPuvKS(yd9_F)7K
z6FglHg<UJYK8sUu8|Cd={9AW`Xfy%tAi&Jc%LAr*O6Ujn@2^vV4dNnM8~|7xGe^py
z=@}We`f9H3?ymr+rUtV9vv|gg^b9%?s6#BN!WAUVWlC!LWQFWX5#ilg>gB$xcruAp
zqX6?=@lw9hO{Hgf)P9SVG$+1usE1Pklqt1gd!Y<7a5O0zGcPFv3V@ef=m|Z_RTE}A
zfLp#=-yiU<1aXepjBRRa5<+1O32H!JkSzu{>o2HHg{v7AkH`1HIA$m^Z`Pwmu?+`d
zCW@qXb+<ASYh__n$#t+^nb0PtAOE6fr5wt-R$?3Ei;9bncf9VUU(yry`SNuc-YwqX
z*CY<FK_5mrAah12Zc$koy&=2v-IJQCo<~sGi*q=m1d}6q#aTFPP$?5E#9&nqRD1Z-
z(xXR@EEtQ6>~BCeu|q|a1BXi)`EEP)fhU^<P4(#O6AAz_3O#)IFe`rSK;uH53j3jD
ztD#m#K-V!wf<32wH+{J?A{E5E_Lpzn^yZ6s3W?nsT)=pdO7(yGN(ppSgYXMn@*F?{
zNC2GDD}0Wdl)wJ!sehbsFUCvJ#iK;Ms^@Lpm>o7`c4T=u#D7NOp^!Hf$EI;O9C3N(
zRgklWp@?KlO4oF-iUlt(5#{<c0J052bpf<=hKH-KLHls-pZ|QU;oV<3KU@43T)v=Z
z<$a4<ij$E;;6OwwuvB}6BZj^V<@nS_cS!BsDn$m%%##KWNK3Q*QE*d#7!ZTFk)z4h
z6pYVc{V>pG0OK|Uth@#&gq%9N>f6jHl+ZmOiFDPC4KyOT?QXS*r3M}r>VcM_2Psr4
z6;{54j}a)4CxGR(^D0RN(5fPsPKhMVjkY}mwAzQK38?Dnt-c8r16ttVRTB@xo;y;y
zwyYL-(#Qm`9YBgm+ucG@s1e^am{_tHKJOqfGh%m%kIo}S*F<A6)`6HovGz(|DlQU<
z;s%3w(D34`XCx39*=JCi3P39>osh;B5Y^pE7Lz90?Ba7{!4m9lZfP;h8DW&-Rwlzq
z#Wvm6UhLC~qu!aCz8psskR84a>LO^^z}vTfA`({#P7dRB<7ie-i%zUloBnuC<T=zv
zE;BSmV&^5n3OoE$d@=RE1|md#z@Q#ydDzV{ZE2{KOdt?43sm6Rq%_Oc#|0{7x+s3$
z5RykSfwu<0$^$35t|V5PD#9}-)FK6EG))xUWC>Y3ug1Tx1c2CfO23;5*Cnw*`c8kd
z^ia*aE#)}N2c-||F>jQZJ_K|QT^>c~*ndFwbz>vf1*Ys?W$Sy<zc#?nv!qJO$DDVq
z8{dG0NCzrvYJmz8(>;L=1>i?Po(Bf^nLRAyhOTf%0V#U;u)styRgUKb;v}%(Ct*NS
zP6f$7;!V=r9JI!_uY9yjX1WhB#+GDD4S-tE+Eh*0wNiWLOK5{*S&e7D_nMH41tXIF
zTzX^e-Zy#oUYaJ;mGf5TCuF&~U~?*Dn-|aq>gIv%RZx0|2|=bQ$C%wlEyo?P%ZXJz
zUMOrW@C-mTCYP6&fkZ}5{0YK!S?kT<k@$p!MqL602zF5mpOz+uC6rC)O2IyH6BQAu
z3SOgykpP9K64lrAk<;aPehRb?@RVi%U)o?CZxk7|fEq}3h7zW%OKca#9)f9$N~`JV
z=~aa-PLfhAl`r^5q6(o1c_#2<A#+I(a;HC|wNISzb4Bq)Dal~K(Y0AoHRMQS$zpb1
z($sll;}#UQvL~#WH&4R@UTdONyjf?+1E)`Ge&Z>~L$Z(?j*+7tO{8o!>N%cb=cl_a
z(ZuilZ)xWLTAAt<4zLrqLLioC5{?^xT0~9(@qzOx_FqakiN!o#QL^Y%)kA_Z9Z?Jr
z&Xi<cR9B!P)CuVzHY^>6?}gwk%)U5J={xmBQ8^Kah?8w(ITgDo`>3h?E#rNU$pP`q
zB^=@Qz~X7nSj?lWE>f#+RylM$$3J4F^;?dnO(K_>5?(Qdze?d0kM0kdM7_iUS!n3<
zu~*Vquw9`xfwg5o*b#piFDWH;J0U(k*sCO`tO}htvJ54f`cD9HL>h=keHA%DJiIk9
zwTSDUS}dhjxDjD6O4>*T&=15rX_%W$vFBi=#Z@@#T49KuV?)Mjg&n=^A@YqTbwKmk
ztYgRE?uOe92tDrdSor*OWTKelJT<D^P@ED5$JLLYZVp#RNT;<bL@l4DtPT#Qzg~Pp
zT<w<Ce>!sG6Iu5z2gJh9JaK@h)6@_8q)&MfP;zYr81^)fT5H6lH8nJr@}Xs>{sCnq
z-3Ib>wTYsFJSa@<PP9)PITUXHUjSY%-yrzAer>(ZKKnD<mCW^&$x%!X=3{th7>8_X
zPI!oBB|!-aQMHUiY_TsHZM0g$mKqa-@Mc0CP0oTS4v#SD44*_r497f*m{1UsSqw$c
za$5Hq$`Dx=y0b95-4Mvk50G<N?m+$O0W!|`rzPMfK>CV=om5w^3U+oLsfGgFQNk<1
zor7^s66OJBnzXsX2}4Z*(JJg=WuzRTJkzIsVkA8l6xIf8r@~DX8|!#N_R9uk$c?DM
zlN#v(xF|$0Fli0LY^(!`(e-Ma9mX;-n1HF?Cd3zmovbh+#3#-?+&(3dWvd8_SCT8!
znyuACz~Ho;N&Q?doSyyhcQXz#xh<f%3s-64A5k<Sc1@W$TY_psR?>Ios9Skag2@(h
zG2Q0vijkZPpawASawhv7%iToL2v+V)Kq-lNH}U{u4yA-O3S^z>4E17pkS46<C!oy!
zo9N44CFxmN#|ZbvSA0z7($@-Qf!FvUtM-NJiRwIu2Y!ve*MV$6{MI<1%_?6!XVKOz
z&OUW8`xT*%TFd%J0hQBMFmiwC9UQtcI?O81wVEq1>`ygCSLrEKn&zVhYR6Ce$mX=m
z7Ta^4zD3UC-y!WB8zMd%^^;+aL0#W@9=TiH=2VLfmODXvTkIHR?-=&}&!6a@`dC0$
zXVh+D&Y^&b+hAyGle!3?Cen+^Di=_et?B_!rWeEDIk<=q#dajQQ09vk)i1X26ldyd
zt0I~i3Q%HUuaW|gA9W5)K_F34><Q|0n}Rvggu^mLqsvxXyJht>zP%1_k?ld0%P>hV
zQYuYKL*8AfXtbW6<Z@d=`^*sIdo>5MU+6NNe`qV@t4(cor&0}*q1rFlGlsj+cUIp;
zLc}iW>tWgNVhZi=Fs_3Ho~mC;1Qbat?B|e~rB|evq8tF_ve}VkN#*`4b3Jv<0EuCy
z-iiP5UsUysIqa5}Z;yen=VhW;Ak(4kk;2a5_6F>ub7leb#UG*o7+k(`e^_RfxmQ6Z
zRV{UCw7Fq76OR1$ZFw^=z<Mu00efHa$O=4kWjLxcK_QGuS^i?wA9d0ypk>)PfAaf+
zbh#uWrZD52OV8s?`NzGaw?`_tKKR&>VIRR_Ge4^6%e5reo#&sK|Bjz+%bCqniJU<2
z(BW5$PJPAzQ0O*+ggV1V_i~)iZ~;O_;_3|`xoURc;3hV<US=ghw@YXL77TH>r_YdU
zd>b(UGChD9d<B&yErLT{QVj^hZHYXD5&)}y5*KHmox8wbz%QAEx}o;Ms#R<&fBb2d
zsWBa)=LJY0{Z$p371Hc~Tf%Vk%a#znC>(a-{y8zPa7q{MWtb>knpNQct%NZun~jA^
z<{&N2C%s($>{(r;Ji<;du`1?It00$u=E!uvDRww{Sq!bMuKRjWvmv0yx95o=#_gC&
zj%WejGE-wVsQ`W1g!waq^lnu#FGA^2w0Qg-VUEQZ08OF83!($a?0d+@(0`=gsNoep
zXV(QsH`(c@{}Z^p<=IZiX@RQo-f0~Yhos;yNKXkD<%BQD>P_93BI)!7+bc4wMq5T}
z(702n+(8_6*haybu+ZRk+($vXHWA?(zrQBlaCJFWpla-;VQ=O&7^e|~ToJwy6ecHI
z>*Z@Ocdvo@Lq&h|5GI)q60JZyD;8o}vN#Cq@~LS&;r7symO*(JzGBY+8|WgO;tv&*
z`Y&smdOha=J?BILS#@?sU;CPL<9s|r{_SJQ=Pz7yO2Tt#+55GO{q?dZT#;t3=HJ=L
zE<%XC+(m)i+T(xa2$o-|8f&D<5LJ#(gntz7nOs<C$k1DGrsV9?vqAQYMKh~LD6)e|
zBW6672MA0Dll&3?*5!;47NkR!(kcT5LO!pr0$oG|h`VDtSQqA)KGIM@PqlQ^YY<qj
zKO8y+P;CJ!q5`xMD8o{e9l|_O!HT0^YLOZ~16n|%;MHVx6AlkWel2obEcu&#5F<zs
z{P6tmokNj?*~q#T+{j_Xbcfxwtf#xla*689X56C)8hy#d2ICw$Rq$xqrfpxIg9&Fb
zJA96gW+Y`*=c)*WsUugLgy!&9J2n#|eyE%{?vt$Tg+ct8I*$vo;BDl&*eheJc?yuR
zGvVB2G$=1e1>vSZ<+19y0AM4H863_x<H?HKedTn3#Obi|U_d1-01IOoMY)xerW#%*
z@v6o81M@&>ho_9(1*rRH`yHvjn%ase_WTg3w<P@_7>Av(<TBMT+!sb)ZlX1g+q4B-
zz-4{_>E#;wDF}Ka$huM7!v*~S54dCG97^g@y0#r>1Ozw3fRZMJwuZ>|?Z+%Y;Whjk
zkW*3<zW9RZ{5r|s2DPxb7<q@ivZ$2k4667OfPxAE#nr-}1r%D&<Y%<zf2Htz0VP+0
zG7SHAWu9o^kTQPEr@#tTP-)s3+4_Ce&@C&gO5u1^ZyE`Wg>q@33NDLVTk^`F1<IbI
zW(CS^ZfK-`|NI-k1cu()ywL^CEL<%hZ_s5A9GKL%rG9uUj`Y8MySOoF?lmZ^xfOI1
zmY45gZY}YO)uShL{ekdH&32{(qGK55&RV#$JykB$8c5*zpz2J=f?gh#4VAYAV*nW%
zZ%S`b3H$4?xUxgt>MKKEkD`&B)%UYZg+{;Coe80Y@^j3;CM-e+h<b%(i?s>KfSIAw
z9@O8f0g~1USUmK1UhSS&|MoIf6o=Ls5U!$h6C;2GEKmT#;J}jmFlf~2yyy=r`Wn^*
zWO8{oDm@rOFRQ{;B>4{l_2fDV^nMU~fgi9F-0tv*AO8JN?kO$7!2nL5b*`%)a3Y}W
zf3-$yL=0+!XbrI_1@~XCVbA_|4g3H8V*F$#oqwz?L)|MS%kTYG@g&PAUBYW91G*m#
z%1eI%$&i*dhy*HS(C`yYbk0aeRgV=cDs4m<lp33W{zB0wsr@JV(2QN4tvQ#f_Zixd
zJ{>zB<pGM>HK~>w^2~>@6uHn~R1Ij+qKk-#=#K;dsp((vngG4w|4L!IHX6Z`O{#56
z8e#sPD6=b9t`wBmR=sWj&1~nuA8sj@25RB$|52CP$S}<OqQ4o+|3?~VyUT}8gH4Qd
z1|`@;K=sC;vahS6B7&o_Ku<D7Ie++LFFpKZ&vxECr7~N;VWjMIvO8N6SEEp%>CGW0
z*T9y`BbQ*;MZ(OpfOS9c0JhFZFpzUe3d|~KWB+t;qeg%eDE1P)N*;sGpME1WI|FJB
zw9agQp1h|vxHJH*Nw(y0*2G#*VV5(Q@zsj53mrodB%YdCRHo;>Tpuuo*}^M$dJ55p
zhKBBFOVC_FM;{{~%}*2N0|epj0KZgPs@nrhx(t_B*KX>t`d3|SbPk&ZKM@%^Zm(h)
zzG(wX5B~g5V(Bh*o<$(-KY*h}HJfL049bB>`Qh=t<Mp*YD;9}aNh4k`jZ)jHNg|Ib
zsR@`UDix^sW_!I4#zZ1Y)M1@km64z>)(zT|kXkxAD=E;NpMg3Ba&@(!g!k#wC0|}D
zvzVIz@t6XrCGKV2N1mMfhn}9FD<6}vM9f}IBKxB0CqaQLbOEoTH)Rdp?w17(S?xvi
zVh2ocM}#;ZsBPKe!*2m8aA|3A(E*gnCJr$G0!Zfd0>F!HD#l2>CJ*gF#D?xGZ@;el
zF5e4S3!sCbM67agt`KmK78vbl9yX6W?TF?zRppqLdjpC%3C#nz^{!>BZesC;^2pDB
zo)ZV6ugCbXjkDsYM^z6zLeEM2e5H6lw+cY4haOc4rr+tY!q*i?aU1<<d)(!7f$ras
zG)D#U_WmO4G7b$yb=wwM<SO@zPt8M+G(jzzNmpS0c;RHCXgZz|z~!*ja=uae82>BX
zbO;AU7owAN%iEXwOL!{r9r74h(S5I$VrIip5iYo?8=Nn;jfPZphz0J!z8TJ&Box#J
z8*;}jBxG5^+9AjaNO!9pc>HM~yp2J{U37+y=MAVg++!>lr_KMb%Dkn21Fe4}^U|1~
zYk<njS^+go(BpVFjL;8c5vn<ybAvag3OcAov#Hs*h+q_oR|HWLO2_$^Y6JVBaah^~
zPYGFB?p2g8sP+)$2wi!m7G_<_c@f_E#O5cG3aE&eN&ZXE+Sgm?E?T(aF{cQHFmzB_
zSx!2yp&@%@2}-mFjhK%r=s6&&60>pG!!R?{|Dg2!Fgyw%gpCe8Ej8}TS5-a!wY*+U
z(6~G0E`*(iHYSerKv}4t7w6bb5$ubg&TWDMAt?vWs3++w!1f<F;8_Bse$e#L(H&`^
z*NyzoA}ig0hphB!X~{~~oFlL@(o{)?2YIcors7d$Yh0-$!P~{x)8bw6WD^h*iSnV8
z%UO(9{q;d!HA!>npnDG}HVmC?bKk(gz}KK-SdH))WseD&{f-R(k;Vf~<vn3$C~;6`
z)78y3mzI^KT6;x?qx3<^+)BGWe&FBr_!&e>HT{q3<F$djp$tg`oD!f=&C6X^R=S`C
z3fcyQJFtEFtt6r?2nbWLmaSf>)lk%|l-}KMjnGgwAo-5!KrRmY5&bW_0KF4HAtWY7
zEzusdB~ae*I+FVsAQrQ{O6bS(>@{_CbW%q0s(RF_eW_90%QmXK!T4R&$#BDR&Y@D}
zm?cmy{c@IgNZeZEr=^+}=<@_Z%cPQpB#xHFROXNWM3-k?L@6b%4u_ULaJ8A?PD^!2
zV;fJh*@m(o*4ABXsVZPbvw<~+*>S+_9k+%zRoRP3L%%)ayxzuW1rW_oRIDV-J6yQO
zK4xgd4c8YmRvTh>PtXgbeqDn7P)g5aK{F?pX=gKp(c=n*Gh`Hut;V_BpnA8o`#Y39
zpKcO3a^v?+$(#1<G~02<C|}{d&JoT(N`IWcKbTw=wfWlB1Hm`NRg@0;Z^c9<pR?Jo
z3H6Y7+M`;2a9euq-5tvQVi%w4?oR8pUs>h6I*_(KpzWeXMkf}XV66WdGnu7Rpfi1M
zxpTrI`CZTI_8RBnSq=?5mJEg|GjnQY^rYhz6con$@6<p1<!RISD5#iSxahLzC#&Wu
z(~Y-Qj*M@k`0~3!YWTSP*e%5noawG5(dxCYK|OA<PQg09=7{>y+7|{8-3;BQ&X*90
zBNmOD4UFdAlyH_{EXSuf?(Zu&dT<wnU5<|!@*KMST%dOMvh|Iz6O1k-PM43nWkB>c
zf2Z`H(^D}>K^ce!za~Uhc7$?Xjp9!8K9zG5vLsiS7cM;$qSI+KQ9Hk1D^;rFx=|z|
zY&xxTR1+_ZpU11j5c$bspM8%}8%pxCltL`z3ZHx~+V}Cv^Bg(p^-0QCAG=4gpVm*6
z+j^SrI`4K`I>RT2Z;VervU9Tru}ESllI!OqKcj?-E-$MoAWz`OW8|6!O!xIl*9xVb
z{J0!Rrai09{xZIb4aDr#x(mH3)fV!yuI6(@EM0D^A&aawXu!9sG83iISnxSc{R=|q
zhVrNPV>wFrXA?`)l^wD|KXg;*lxtTy_hQGNtqM1#_^g|_%P&~KM=)v=_8F9v@%yfQ
z{8FN;W{n1nXZK?pgtwQ$sEk1zwSe6TEwW*3=0K!S@y`y~>}Mf7Fm15+?_T^AT@|hU
zEjwIZnqGOPpR(Pa|Dq|`T;4{HX{nPi>Lle`$*9iDIRq_oBnnW>%EL4=<JFR(TOuJL
z;xkQA?DJ|pmnhp-bsC89XT>`@QTN{oJ-y$qn|Kx4>-~?ZxG_x4*Q9{WzPLEjFNg5l
zgyUPilH-(lAu6L$2*&(WCcsraO{F9!=iO|sy$`*Q-K(|z2Q7fM8Ra)i2yB-X=zdr`
z_I4u6T-LRnQazryy4q;{EEoGuYDjs=2&&|S)NGw?4)Z<C-p*&+UDEgj?>Y25usDGa
z!;hRG`It5zXtn5K`^LOnaiCk^!=r=nb{7nCoP_E+uj9gpOTl8xt$AbaY?sllyP_i*
zfsG28sS3TjbopBf$_(4a_}t-U_-^RC5przZn4w5O6x5r<XWC85ksVcU9;P(^StF<n
zRSIos3cL}#vLd`)Y9Ath91?%1@U8Asuw$M);wxMCpx5sfp)mueH5Nh}=8u#iZ{&~=
zBA=B}s{^t_(nghbM&-AHpguQ;R_Yr{%^8a?rOE~v8oR1a3;4;E=_M7@o4Vr7$<yl1
zcLe8`49d8te#hXd?lNR@J3^3*=G-i~1M7Fmo%QGL7+)#9Ani?AOfe`UcSq(^4RTo&
zA!LKcKc)uXZg!$-w=*Ahvn4NheiU6eQTC!)iP0e9rUQEvJ8{^Z%su2eT5epAOnYIf
zzaa8~`WIfzPLfWiq{WRtCnx4o)Gpu-CL~5k7_q(Xuix_2)0ndz{*#%B-iGfDjMzF+
zrYGNMHP1Iav8IJfnn0qAcF`zXv(D}^XgodV)*G&322~GfG4;LCAQu$Tbg-p`h0&BB
z-Z?|t79pnP^K_nsT76gjq^WnqzuoncXgPxUs^yo0j@We}xi>qB7a106A-!5(Lc|s)
z;PK&-tp<49#FSB}%ZHiM)6Lz7CpaC@n~OKj_)_cZrdoo|59bc3hlm|y9uyQt98$c#
zdZcWRcFOwLt7Cue7!Na*!lIug?>kb!P+e&4x5#CsTy|{CVrYDE+ftSk9P;#C)1dVJ
zzNW9Sl3quqR<JUYF?Z+_^I@+nx0l(BZVypNJl0q$SLpo~(yJ(a*l11&vByuAAloT&
z^#{R!eHs~;(B=%5=;txm^QSnDSZm`6e=WD|{t>c{HW%xhlSs-f4NpeYHiZ}r(g{O-
zR7C5ko=Y+UJ{EBJNBpR`XAHfdEOWo!(<n2gaq-2F8{#N2pM7soxz*<{)&viwLQOk;
z<+esx92s8Tu-fS`>o?$hlEOW=TSz0+P4?ayJJc?LL{?UrTqxzLz?-bMB`2o6v}bDY
zh61{b{Zmc&{sndi-pom2*jIww@MJ-4b@!!<L^z1U6;FNCVsf4qU*~+-5g<Kry-C|(
zP!?vX5$u{%_tUie`l2^<RMNn(RrP3T79YK(o4pmEf2co*?{OC?N8-=ybvs`bML-Y*
zW!%)<cyG;5TeH3t465OyJXnmUn_j5Qw(>Wdqmo~=!R~(Y58b4-T}vdSns~htl8-v}
zDvQ|bIUc`AIlr<$m>(S5ku{q$<yzM3^G9sa(#s~^IIq*=NBeDSB_{g8#BxJGU8=R`
zrpD9}N|B|u0ELmy3NorTS=AntwQQc<*y%Az7tlgM2R@nXy6p<PR<Z;yT#+EOey+ne
z3V`9nsi5x1bGJt9>P>zp8=`SQ>}hc@+g#_NGRg{*V>0d-KgZ`(S96@X-TGPaQ#Rs;
zQJ6{zJ~gK1L|`o@&q>71D$I~8Ui$zFjoMnfbD5v;dX!u}lToH9@D(jl@&p>BUcQ}k
zwH`N|a)IMlqcki9<+G4Q^s4`UKuKSW7m4-;bx&pb7+|{+pPtI~g}4b&1voF>2V71*
z3Q{R0>|pql=hHOy%7yiXMpa(|)6B_ZnLe!ZIT-5iKsDHSBlq~#&S-`)RQ*^y|1|;n
z4+I<1&VP-+1(oEsd}e=3>PEQOnwK9(3X{1GSw)S&LJ&{C^fed`(%Z&j=*IhT&&$_8
z1@+i5YX45yPk$zOXvu&?O?4jip<hSv3!#cflGi^X|2p78)FMrw=aeV-DA`MT#vCP7
zI4$-QHg_&kqE<L0P^vlU*FD|z_$iJFd6~biE|rA&{ob!XlvIZ{u9<sOJ!6*$x37RY
zdrykGt3{0Z`^MzHP~G|a5(KIyriO*IadO)?f;iM;&-vXm=yrUbw4ko?I?8|@5PG>a
zgc~WG@C%eQ$0+%%y8^V(WdDrG`ZX<+kGkPm+BasksyA!{T~y6DfW23@>DA_xxGUl7
zm-BYI<;+Joizn4982P>Z(=oht|BR1fo6-7uOdQ7>E9pPl8B*J|`>CL1;Zt=1=a^d$
zntxgQwRK@MLwbVKx$TL{#_+6skI5Z~`c#JWuIE}D6ji0*@L3Cy-4cI)XRG%yKKfSd
zuE`}sgIx?h@r0WZ8(+=%)Vym3{ccQ72KRM5gm^IWx0&sJx-&x0PsMKdI@IH=q$!@|
z%ckTQm;cFFRki;cw4HU@8p6WdjWN~u<x0(GT$kk!FKG|?wuR_#+@fm-m>(sTX0*Rd
zapR=}zXOje>SkB|I|L|*r3yLno2v|~Z<rQ#@5s1O4_aVJAWA3@GX886?w4cUxda?D
z^Yp&jty*e>K72HY<EHNi**N=V?TwL?1^Ei%AjcpSek^2_uU7O3L`>|{_~oG|cys7u
zCAsHVK6>G4??$JG`Q%H#mj2Y`tSzg?jZTTt3AtoO^#0R!jT-7$o$$og12bsj^1IgS
zcke2i?o|3l6OZN!qRpumn?*NqT&FBdzZPfl{Tq~0t!|vpLJBBPA!wmP$S$)3Z~X<a
zRzUu_35%Qcjdh=kIs0M;!x5TiMz~J*SGDjdv`DxKBnTLGxK>adt8e!O2spTZd;dVq
zDNejuB7t9qzf*C~Hq!Pl8mVp4zt2V2+dMe??cH&V(z;2lVzRr~-g~njR4b;NSlsYZ
zN;a`Ug~<u{s5XCUv;ZBB)m2qhJDjjO%^_NE^xug2xms8do9gU+5;&3jj$MCaT6nd-
z=IYVGE(!&wHlsRZ40Je!C0`zSvmNS}7_N)Otk0fY+!KgA0K-9_^xd}uo3twzrmLy0
zu5XB{mX?-Qc(5a0kfxk$BAk(#DSO-9z4uV_G7)bGAqiAO_mUMdJJ5Ta+B?(L#&wwy
zxJ?7uZKJroPS_(kMD7WFK|JVd>V%}JIyHxmVvW})){wut@A|p96IH=C6lY9_#PB*d
zoJRBWJ=M`lAvHpx2bu3VdtuLhC=P2;_VrbIT=7`G2J?vB@jeuyudhGP8wKP$I62xc
z{NQ~do*ok!P&bej<zTpFU_kTZW*`3i)!78(Kpx|?a%y-$+-%m4_iz=P@?5Wrnj4Xx
zRK7(DqzgK^n>~szfyVd>&s6`>VQ%FC;*Ud24!;U2;xf{FZgll9q4Dgo&G`vUwZpeS
z_kOs5F281}eVxBiWB1Nw(n63=t=EGcznw-P5Yeek!+D49D}nCGxA}41>oB6r>&n(;
z-=RUgC|);uceEsIAFNb>V)wSMa571ENFQ=tOiJ_jOs8n$m_8So@W+2iAhX&=(XFHY
z#Bu++Dez;M-1B~#?hQF~e@dv{94x1PB$E?W;3G&$C62>6aZYg$`Bgg5`mFuYJv}|U
zo#MhjNLWbEi>#Zuuphf+VC!ny2x&;xB7vKGOU?4DqMHbXfcL#1b8YE_-$@wk?$W}l
zD3rT06L|wZBzQxRAYQj?rL>lPY0Ebw&^51x;H)x*swyk>`oe#^e?l!XlzLj6;96nP
zEWt<VXM|W=lU&r*)!nM9tI_=SVDwA;=8sj;Da3Kp`Eg>7pnXcuLS$i<W^j{;rj#(Y
zFpG3GXkvMSv6Q{q4nL~DHqgCa>YB{ecnT)+)q>tt?L+t7#yT<)R(azuj?YyDa$Qk#
z1uh+NmEIr_hwHr&hS|g#MVqlZYZCW7q2xf9_3t|~nWHXQO>a)7w>#unPJARJDsXXy
zg%ck@XGcG;L@eusJ=Pp@!P|RUCHme4*|dFU)1;iB&AqCh7AGes>mPsk4eBE0*wfWD
z=NuWyj>5~;+0*!ML~i+(boPax+-Wnj4l8`?*w~oW=~rcC@I7ajkHUToTH4u#PXZN*
zd_FXx;4g^;2{X92qz=4BNe~ORRo7oV>Otc*fR7iiPYMGOpiGtr<d6)CV23R`qiYab
znOm_s1Jgyq*EbCaMBFWrnkfZmsB|N#VDAO-Bd-G`l11+C=SVq4SSzPyS{>O#6Lb^}
zHrkRXR8IkCWx@=bto27{>ZeLEV#|KqVQ`K?`-Y>N+qe$|>~#1as_66%SFtc!-FS~h
zwvIaW>(?L<HHPEz^X1<<FBksm1;{}kS@V}lZ>`u|DR;FQ2tkE>_>vG-dihMh&t5_7
zffpdmHGIe+0f>>)%|7HJg}j(@%%;l<4oBYE@-0)f8Gtx}`#X9HltLIXui$aBA`@-l
z=TDl0n~8q7HS0N40nT%Wxq>D`b=Bs1qb+b=EHr|E4gdp8Ny&6OIDTo7m{i&On}dTx
zPGMnTUz91!gZ#E>h1F<kndZQ=<|cJ!Vf8iCx$7Cv>oFKzC4HfWR%LwXghraka-)NH
z3>aZwApF1?avDu2?3K+2=acD{anCNw?+!}{LLjKw9j<%^o3hA_7F)hWR|?WQ4)1??
z{g@;FfX$ITrTl4np>sZ`HSYV_`DTI>a)G1%b-HJ_JXHN7n$aZ7nK^9NZ%j@pNYE{g
zT)xJOnAI-nrJeD-Zh41^&<p+T2^U&3l@Ag!L=P&m`UH#lqP87#`2lY+%_Jnv+In@f
z9S^%>!W#|trk3XF??2caVoje_yplg)VQCoRxN@ViBgrJMo9|@$#hbONlT%Y-oA<e#
zOi!3K`KX^J;k3P}^4S^$vRwReXsbU_(BO3WpPItht;<LJ)bBmSbjLupFJ~Pwvj>DD
zJZBCuae^dr+V>eFN91$q&wa}FA*YRun#9GG?X?1U_J=%q@}zIG@V=j#L6cu{1bq2u
z%6qn{2w~04%=8c4FB1TI>Z&I%MRi9dN**|X+kZAhc4i243;RlY{sh};`s@}{r?>)e
zIBNAXWmwIvGlKs}vPoWFLkl?ZYcDL7MsPk~dGz{vUg`R44QrlO@Z0m|K!|bUl+cZR
zZ+2;=<X&13>;1zduPaw#cr)0r&kC;;1OuaAKei8}2KF$t?Yrieo*tPqjbE#Rf`Y_b
zB+7(D!EF+9*^YmxMs0RiNj5QFqIbjJUe}ZCtp)v7^d)^9XmnB@n!;-W6C#M?^XcF?
zWELOx3-EduCe3kUMAi9#jLbt9jUb{zw1Zpk(B(pJ*dXfZku%-KF>b9|oHyGZygz^v
z!bB#Fobh$QR~));b?E-NM0vCR0B~H}o6Q2@Zm}ICyTjmR{Bda8ge+et{pZhtqPjX}
z%!_7kclWf-S<eX0@eU1PK@7<JN~*-Lwb2&Mn(FFc2t8gESCyAH`aqRhxejb|y?a8w
zgba!;s|?}KbW*oUS?q$C9uWE;g8$gvhmm6TS0_T_@J)x}e)L`Gx@M&&O0pNiCXSr(
zWC?_$HW9=G5PS)u6sz?)qfS`@8od;DY;Xfg!-k({ssDn;FuTt^TSC<AJfzl>1}x)J
zvr>q@L@j@a)DKvV#*h&H#qg>8jjx&=85IR7I!bh4TZCvDWqiN~?-otvZ{!O;GQYvh
zQKw!c%^&iz847c>d4b_y-a2z)M~r@q1*8Qc3-Q?`%2(f}CG_iFCjgA(sKaXQpo*Vo
z3Zllr)CAi3eFP{X5mL){_KzRj_~7pI09<~U;0*Hu=9J9yXSqpD<G%<&#>XB$Zdq5N
zL`;E_KA*=yuoI}6G^Fa?YR!eI!)sT_-FjqGse&R)(PK|5^J!H<7dwAv<@6-Uc*8`M
z55Pc{Qfxy8xAfDJXxyT>;SE~Qb>Fgcmk4z;N5xOaum6NMSL~BO#NTfhw(5Od#vMMp
zrNuf-rs+}M@`7a45?Sr2zF1)+2uT)v712~wlE<?6P+pX`JRh9ToNq~>zf}vjZqL_d
z&d8yFWOTFN*)3uMg4nPQML;&p4hj!!ia0*V5nA58Bc?_mpu5^MCNZ|QC$&xM7d_~g
z2a2oy-dEFzpEH3|^xm7LF8B@D2x~e55~U1bo8yM@x~>6atqE`T+V~q4`>b$b(=TUu
z>Gby(tzHAYXoW1(E1AZ(Y3R;S)X;}JQoopieBA7o5X5Gjkd)>}rdQ0B=;}KXb{poC
zkMmD;*MeLp4t-O`tKwhcf1XS@{%h$>z|sN85p6qk^9J9WD>~-|dv|JWs}=hQ6xl0(
zn*s`4YkNq7P%xj5kSm{3jCgdK&ooeA*)eu7e(LW3*XIn;Gz*9Z2yw#KlW?5h|1EC?
z`#ZdwUB9!E9Z+wW`}aDQ1tsujv#SfDa|F1uFy<AHzrc#Sc1L<_@^-3c2(Q~N_fc*v
zboUgdL1uZ2-`<%<eDL1P?APXC0#y@HWjiYe8{o3*)AIPOk8jJwHRHLd<wl6Fka^({
z_NoidnU4*^b=rdj{BAaGFz&A3yBO9p*#M^!bLob4iv=$|t=1Sgy!mDHSG?|ugCV3M
zIvM{K=;W+_GVs@Z(i2e$e{`O;`kRUG(#jeUw&AB)Fj(cGL#)d~=_lhi{K2XMk;^i?
z8o2NE(RD@+%YI5`*(2eoWK4t8;8v*%<){s+lkuY*e+E0}#dxfwC2p1OUph2hB^shY
zxc6mAXbGxFoH^kqKJ!B>ZiClZB?hD54Q>|zGcSOUtenrkHUaBI<nxR{UZfiSlABQ)
zsV?(3#D~V0+mCv`@K15qlGb_|M@n3GvT7^cr>m3t0zbEBiLCDR6Btz~dhLB(yYUz!
zk9DcpYlCT%|Fo=6z|WtSsokZu=lazb+J)PIk2mNHS}6TukGYS&)1#G#Soo1`#B)}E
zf~97}q+T#l-yn$nC#Ru({d<PES3{Iv?*hZj0W>pSh_k;JD9sznp8Q>U;>d08rk|GI
z>RxU80unS88ahWc!>3OK3;PMp{07s1786ky7w~jri`ppo?V5q(>+po+?0Cm1u*T?Z
zUzT)(-Rng@L~q!1_lJd@l}wL%SQ8JU{>!a*x$|N1uYFkko4~I<`r6Xz_~%Q)z&e}W
z=zbDhJ>br#@np7tV}Ioyijy14-a2r0*UzOzF+4n)!N*AWw(`$+tA95VnF-erLy%Xn
zl)begy*^2#Uvh<rQzf6T{t4+Ld?L^o`u2mSmgO&mdpEluYm)lK$ps|5@vPZE?*8YH
zg<QHR{^(HR1Z&vXP<>;hU6;;F&fpXV;kqB0V}Zz-BW1th(1B)m0ScubBPpa!JyV{6
zAYFEZZw%{H+-E`Tp~03z{R`XgnE!h5ym~S^dfl}0rQ6emO#eEYH?EomK^87Z<;KLR
z50yC0SYgw5R`UIj8kPbNHz2x!W3=I3akHnR&%SswxMMnAz&u{HQ&2`IDx<@-u>o|y
zjSEgz_<ehyuG%c@6lcsQ#y7ra+XF8_&&;+_QT`~Q_M>~YiN%9j$J%ThS&oc~%u<2U
zq6NKNPxby?A`O4w^UqZO+|qyh!0@tDH8{6I{2)OU`I1jAI;ElEYG-FBtlC@zxRwA}
zfCX_|T3FEIF`XY&w|93pV*q#yH_huhK0Q6HD<CTn_2ttizgygD0B%b+mp)NNd)02l
zWsltE12fmEoZ_`zNfN_(s?AqoJxQNG-`VAN$`4U^wI6foi1XPky8PmNy8NVh6Ng)n
z^1h$2)4`ot+Eg2WB@izz)k-d3i<|v3!l1El90xl6)gZ3zX?Gl%v<>riRr^%R9f*Gc
ze{S=nzP>&xi{R{oHi%q7R#sIx=v>N-Fv#)n_SP4BUQpmhX-!trgaEqwr?i%OYFmR)
zhy@@SSB~uQnd)A=hwlJf{>yl;8J@&lZZV|s>xn#V8>L7&=_%azn*q;}sBiwJvEe@6
zFM)Sxqz3KV`w9H)aMCN!&v$LEAR5>mC>{hoNK59{Q<Ppw+S1M#<mS@N{&;|*7<<qD
zL-jm>@&Z_U5<<}r^w}u&#7)HJ8U*W%FS(iM-*m_uKLi%6(EqHw!I>+0Ziiq8e4Qdc
z+FE(uzCG~b`Z3O?<?lT9bwE<G!srxI^7NK(D>3FNCV6DF^zC>SE4zOGvaLZ5aiR44
z6IGdQ*i+$4Ki#%H;4djDQQ!~fd-!BJKDWcgt*TL3m}M0v!}HIhlM^Nur%|Uk^3Hg>
zWBXM2WU^0rbTJ-!NuEth$6<Y+&-dM4B1jy@+p%QmfHxNB=Z_Tw;(aChF_0h}@gAzp
z-E+(c55SqbquT(!y$d*FYO}u~o4rD6bllp0d|chi0Ua?{Je_ZbdE3>^i!oQv5Dgo-
ztSI)><F*y9rj^6lEmLEi*}9mn`KPCF^7eQPaBT*_*yj%2ui=5u?IeTyC$yU{#JzQT
zJ`dpW;D=i~Q4dQRiUF=9fK!6(XjA{Xfz9}p9q$!^o@5dY9w|^1o!rsUQ51a%4sSei
zf5z&D;HQ7m*MNjW_v<BwM?Nont-f{E(C{*_#V$zt_93ojR<FEO7(c3+dVgDpq@-kx
z(!R%Bk*vmBAN~kG-&LU5D{^T2vg`*yu@|FaC0RKbTKyDFz+iwI0vcpQ(@1@Nb&@>(
zk$Nl6&9$QM9y**>w|J$%yaNG--QC-(^%AgjE0XlPEac9!*BkTLmD8_EBFFCG(aGqC
zz&5$9g@vKtR1V$G0r2W|mSy3>^}O+e9;;^Hp-$J2p#@HObmjWSRa$Jh8Cic9L67Nd
zk)S@sNnO5?)x&K#u>2Er2cXk+5k6*dv#UGar=}jaTiSsKkHaGRczNkoynH#_jep|;
zUEy`SG1o|*M4jMTNcK3Jd2;ky_;_bFYr=$RgaQk36)(IheIoDrF`xEPe-+td`yQ)s
z(fX-vLHvQi!L(}dd^b1X&h$>#3WzL!=QQ%&j`w^XB9u(ylQESXdNx>zqtQT^pbI)1
zZK+wTwkdap0alMWeBV#v<(6M)+-&>qs!ML(jmLHI+K~K<>HdbFMB7be<Eqmw3j=jd
z%O@&s*K`LG#S8qO7v<+w4~ll{HA^)4kv1gsQ+Lc>?ZrMgd-GvTJTY6h#&z;bp@T<e
z$Jwv>`T1zjh*j1iq4KJ*kooof17Y!FJQ4>u9U)W0TSvEf*<k41Xj>{(=S!~#n+oDn
zH+bX+$DKZ#uI6U&xu@sa(PWc~7%KlUM{I31pzZjJ@&O;N({0uxdsnsBpQS^C?cgC{
zvG!(m*4BtSakF7V(O}IkD5pLKGC&^SLD5TK9?+)ZkH_~tb`t={oClT%aV@DpOxPSD
zy?h?bjK+*GsNjXR=u{BFN~OA=Y~-N+{QWcWr$K8UF-tqZVAok7n(!|`5+LIUVE(TI
z1FQH;Y`|Du`P=~acLGPd2M4(kFD@<rhxBW<b_2)3$bw#26Y_Jg@a{mU;iU+xFJ_1Q
zLh=+qz=4<kv*z$md~MbGEAOLTC;ckpLah}4O)_7TfOv+vn)geI{`W<NlmC6;b-%Gp
z{{N*ZJdf(fl$3zVfoI`W9i96#Bs?p|A(|DvSGC!+4201Z!AT(Ts_~Aki)v{%Ye|Mk
zEqiEWvX{W)PSBFCh+zM^HA|?(smg5D+mr>ecIp0C-pZ-ETb89y6kR%^r_}>a$F1$0
z%IQo$r4Xk$M(hrbu=}Qbfy8KmXf>lPQy^tsX0!hHA{>yeB+u3=-hcB3g9#_~Rk*o<
ze%$P78jZ47OUc_Z%@7#{N|C&x0-vz}BGn|XLHNO0`TK7U`|Sk(^mnW*0dZM@uTMK*
zEW&MZ^6MZ7n?6H!s?Cq*n5(WitbZ00hVKy99SBuzc5_*Nw=syNB5B>--D+Oo@pX)|
zmKiUqsupc-w4l-G2_@^&flmddA4mObAap)aP;{wTM7z7YFNemxExmN4eJX(cGTI6x
zSKr#Dey<$!gogbg2LaCEfs)$~$X_<?I81t4Y{^5^r|t~y;eTiywhNUztN!iUjHulG
zPkcL^BB~j^Jg6gYlNavP=qG-VpPPZ}d@{7M^Er?!Pw$d>xFaQYN9l=yjT&Yphzl{y
z`EmMnAfj5v&Ccw2PqekQMgI&~S(p1K?T#jcIzO(FT9_HbSUlbWaMhj=kENe|L`Wr2
z+a;U^l$t|4`+UxC#NYduuS{&cYNDLV;`8IblqnOoZJ7)rD3?^@u;r%f${a4HG_k`q
zCr*_gTScEOEiG;H^z`iX1aNS3tyXH=^yaL6PI||4h^b@597B=X;;ToGyZiV=72ehq
z1ii8%Is8jUdFZ8|Y{*?Iydt#P%A;)=2X%Dv>35n$3_0h4Uf)V^K4}543!@7p&93E)
zH+(9D2GUX}w|>X_pWtajjsn<E;V1q^FOPZRocQB&7h1Kj|MTd@DgEMDw`%j@^WE0u
z*jslHYXLX+QAx$TNcjC7ouxp2zl`7$#CB=;ycYz?@!J)A0YGWI3SD=!#b0X)k<gK2
zh@_{aq?qB`-uY~~Id_`GD?HKNYTt6}fWA&M7;0iCkVvHQ=+Nx!Yz*J2Q>P*nn?qbR
zGWCCe#}e2X0y#ATR73QEzN!WQmt&B_M&7!+RcdCbb$niKXzS2>du7edTAG<1G9vcE
zJI-Fu0U0y=IY+fwGgpPapAZ7Rth?v&hoTrFuX8#bJbbd}FA1X9p@`7Fau+c^ka?GX
zR##W6>FVehh(sVw>4g{!t9H7Y?1MQzUEtj^<;Y;Q?SFTV%iH?inBd-TG`otv|EIk(
zk81jQ|2#?+D<W1~K}Dz<p(uiivdGp#T>=7%3yUl&6a<7IivhAhsaorTe8M8KM2mom
zfEXZbAt(w)mZ(S~vP%FF6C_AN2uXg=$NHU_GiUyonKLuz{N{W)?H}c&<dd6wpXdEN
z_ukk0BkVnE9yyH9H$bJ+Oah~H*<;+v%aA6M_Nn#>g~D2Tmr=uogebN5Q9pYnNk&pG
zA4Ju!(CGWc?(_ENTF06H2&=l7(T3`N(3Wf0{n4nsyMe$@*=x(pCzXd?OgRa<4BqqZ
z!-riZ?V7{^)x1q|1MEFr*ti_nInt<tc6s|$4;AdM);py(lCQa^dp`uewLenX-=D7q
zwfNsDnw70+*B}0Q^^NJRqn}11tCJFv{4evuda5Qb!g+oC=#;b-)?2}aWiEei%Uy7d
z9dPusI2g{u2g9n4_o7MM)uHG8fG8F11>I_Zds{yCQF}<1pq63cM;<@m5BHSA-Hlde
zG-<mYgR|9n%;uo>Z0WC1>)k!Pscj)y{Q>NfzJ;+?g@*JGL!w{))nd@!58CtaCTE!G
z8RwQ=-xaf|+WRVqBl|a}Z=DW@GRF0@%>h*X0Dl)Yke>acfATztQmsz{7=?Z3JyW2z
z;4FmeWmS{VW-c7ou3t*btFI@Ifv|at7P|{SxxrLQ^JfNqokQIv-yZpUa3D#u-m+;%
zcVPX1?M?Mq*o8edu(_cewy1oRWVC@FHPR~Gx9G%o5$Z2gt><U=gZy@nikeb&xYGUN
z#a4BT4OF&HEpQdwf3Pt5ez9`7|6ItT!4W86mJal8YhqNEm)C9O623M{$^{Rbipn+q
zN(oJ9LM1Q;>$dy934QRbeC^x3s(kWqJ@oa9`nNRvug&EDU6tH<7%EN-c2jb$uEnPY
zlA1N6S=R@4pmzi)g~EoHdncayCwE@sD9<%Djb6|xs*c-RQXg-?EiUpeW!6|sJ_+)C
zFtFfZS6R<Fh#<GOY#W^42URi2G;_bh<uct^E%v67igkY|?-v!--h<7?sGDT8<bbZv
zPy*HeGCi?5kp{IY&IHiA)rqr4-c=ESmnR=<4;^f9Xt0FzaU=2Vmw41aj}Ci9N&fW*
zK^3fv!2@kw@_7lduGGnd)Z4=QDQzLn-Dsh$l%3fVH+nlGx%ilSvwQu+HHQktTXB7t
zj+q6clP1sXmg5dS#5emzk|u4IM(cvJ3(tNt(xk2Q?<jDVn0P!mo}rMVO%7;WoYNla
z+}6~XC`cqFm=faSb=!v{37;qE#~=Of1MLPT#FuojSe%oXJkKuV)G3QHN;e$Q=gsFe
zX>)d>(!)QEWA_NIXxDa$FZnHzyI)q*>$$qQwCCIeX=3t3sj{L}(3FFBdH1Q&FJStE
zng>JZ8_ts38nfoMoqcoS&j55|&#eo}Z}UH1Xb?>xo|r)io`Z@!XqC7*LrhnxvT2$r
zIBiCVQIh|MLJ#{h(dI$d!|U*p<=1jx3lR?&M|*wH-R-aEMsVV49N>SJB&;$G%r@7R
zz*fSh(URH^ZzxJq+}z}9VU_>#ODmZd@yt*^7mE}6_<kRAWB<U)Pq<hcn@>^>X8>{1
z_2>E2UN|j#vSR1=iw|{0aa_<3QQ$hEPfe_;dDc^H68Y)TTL0_SUna@UIo!1VpU|2c
zneOfFb)6TD$Ge6E2X}n~=T0C#1|_bA(Jm-OkABd?*JZTy&aYFmxP9QK9xmbUTek*B
zw>8z+-`ZL#@c;?F*yG5dLsRF`+e%}f-()4K*)LKn^(Z^pHq(Ds|M&k=Xhw|Y#OM${
z<`O3_xke41E2VTw*Wic==Jk_l2P%p-e=5NXOy7+wg?Nc+OvuBK%0jh1g_!ZMpPY3H
z$NBV;?zz<Z!Lz@2bIv^ZZq2tzb8R>_!Yd<_wv1*^eZ#TM8fH%PW<|Bf{hmyj>)aWe
zv86ku!?pj4y74K0#hmy%&LQORcjo6B2GercJE->mIt%azCYXq}5FD_oJhKFl&KaRA
zN`ViCLypv#i`DV-)_*D;8}Etm{{ubt;-zB(?OE6nc39-DEp$Z6!)iZ1<V`l}m5c(X
zb_itC&?_gZ+akD>W5v7|hR179nq7+-|KP!@PuKEmjcD1@9VKF$&d6A_UoMx1%iiZz
zc*hO569u7^RWC`OOLmb*t*n0fz991TLBg3&k7N<>;;Nym*v8LjjyfE^Lbxt8Dfpju
zpo^Mf4zLJ+Pf&m9Te!@=ihPp{t3kY9Wc5rUv5GPMQ~}LTHps99?V(!@PJm4z7aaKM
z#oM>>>mO)Ecvwyh^H_?Qw%2zL`Q+FnK8=mgmrK6Ez6yQf8D#V5)`j}dBH4zkZ=NY+
zTGi8Bb~aJ8Sr8Js0dU|GcbcU=qq)O}Xz}U69W{n&^CkVPwaS@f96y8Aleh+#{aDRz
z=DA;#<HniCT4zT^EqXz<f<5B?D?zlj`7d6VugLHgJ^zdECl660PZzDNdjEH`^x0ms
ztMLltcI4s{Z8y3@HruEl;etA-*<_=J9coE1KVr0!rFvjfni*k{*H?8v`y0K>!2hAn
zNHHlH+G{>X4;_j+8X7uo*zgpNgqaMKYYzoOPj?4JF&EtMTfSTHFCYz^O6x`M&n-Jz
z!C>eeY!AIxV?F&^Ez>M4CckhU_QTLM2VbA8v)ubG+~UoCYx_>GtQVyj_>pPsUjy6T
zKGCF9<tAzNT?j4hJws2B+$%aen50KckxNXj#$N8baHrU#Y(ra{=43h}db$6AE9Ksh
zDJ^aVP)4J#T8lUVbcI76=E&PA4r}NE1g&-u8EGr*tJL4HzH~mJK7z1)DB)>C9JDT#
z9TM+FCn7JWXb&a0F1cG&G;X}|(zVnxv7Sy&EmS!9BAb^1QB*x)dfgv~AS|b;KsDz+
zZ*x{wmixS0Ag&HB8Z2s9ax=fOQv4bisFi6l-;G$e-va2Rwq`F%w=}sW;kQ}|Jx(@V
zHr9>fr|tI6$w`dj<m}N`wVNAkH_=PpCjIUOEY3acmO<_cdB0xw>EX%NO!oSl^!8bG
z*~gBoRloL0+t&k7_t0F2o#6Qj*VkM9&tLkIgo;l*R;z<EMS2P9i4!XqpDUfV>tFNn
z{4#yb*A$5IOxj=(`BH3e46j#>Sf!kV&#kkylunN_Pk^4C$y04kYam?>!gkbnp-avU
zwDnwAR(593p+g-jl}+24V#5{<x*mJ$+I_XAhSjPjE=C(!d8Qs=y)Q!`R?G}l=)?|e
z-W=nU?=H@N)i4CP%Dq!y^Zq8kzs^+Ente;ME?l*9HVqR->JF3i3_-sYI^y^4C^*ZJ
za*Z1==HURrXWJCJGJ*^ZwY|uNf-tDrZG9fqN`B`3xvhR3DUP$RX@98PSA%#KtPeP?
z(0kNxiX|@^Yym_XVbO6wsRl7BDssABzMKpmkR6Nnn;L1WjdhZp>R!H~12*z+-`kPC
zy3S51JzU@-7`&OZ>$<h2+onejnqkfEteQ1&ph;lDfD|)uCO3Xl%ZUpDXIter&3ekY
zqV@?EC1oxC<6w5w+2Ox7bLpTKo?N#k3i=fSjs3YgU11F2!8SkSurJlXZnmMPI*R21
zr*@Dg-me<54p4dQ-qyrYZHGOg(Is4HTgZf`MOn{b52^lx{W_g%+yQ1BMpf(5Q>O$g
zIB$4Fg=*m1r}6CkvheXRIvhDE@ixZqT{O6L&v&4QZ(kfMYYv$iF)!4N6+#Z>|GDA3
z^27n0;l;$G@5Q++KGJMC_(!Hr%<C+_7{x0mJ-VU<B3bzl&Q%GFva)SZ7*OWxXxY!O
z;2_~l`vE~Aw16pP9;ekt&;r#9o$DkHv`so37D4&;IKm%FQoY4S&jYp-wl;(el23lz
z^1A`Zk@=Ta+BBC3+jvK{x%7}_7zkAp@$PE0IsQ~@7GrXF`C|VVNPnQJo-EL+%Y`6i
zZ>D}>t$2N5wrB}GFl-a&N67TZo&fs=e?n2(9TOeB<HEA5-?+dqWhCGBL(dc`m13cd
zV@Xl{3OU~WZpxBpX5TKe+j@Q5$TsiC$Aj%p+pnKmTv_8)xB9%d_V%scEz?iD_Gt3W
z_42iS-wyt^$i3AuVJj~w?aX~+_Ft+?7Hg?33JFS3S!itHe=>2!&>P*m$9jDTiaQ}a
z;j`=5$gz9{k$W%3C5OqeWktOWeMuyQ(!9oN5n}brQ>T02M!N*qamiU=8Bxxit-<sM
zGrEHUQeK>ei=npQJkVcMp_l|9oHAl$22K~Mh1W|*CNZV(s)?MK(-gyD25{rHFdBX-
z+Uc&p%2$YbO8hpR=_cY28_!SJ5W2f<0PZ$Y_L%fIBa#ZQVu|sK>F?mSd{d?gT-dEA
z0(2uOKeZ6dOV%7KKHAhw5g~{b+!XJ4_~bHr2hxcOA}|MEA0?jbi(Ha{iED&A+(*WF
zr7Y>}cqwZuyASAu$vV$Tz|~Mu+1xn4sHk{R8%A}CR8UwrVMdPw4pj%dT-gciLMqXW
z9gVD^)`h`6;KGSFWkcPUe4w56{vg))^p4e>E+B=tGGlJ{hO_dy@dp763{DIrZ0><j
z5+AxVI6ED4)Kv&Bv>$!FT;qY8$KP-(_0Nr~RgV6VX8jcdQTo-fVD?|e1g`)71v+N`
ziN@pgy<y{lJ~M0U9ssl3nX)^mbw9CJAOUcZHWXmeyVOxHnO9Yc*>M_;ZypK|`#FCk
zd1qFeUCr!=B3#x)Hf-$W91Vs0`qQhh^}x4<yZggL60p@hv9=lfgE0TCBm*nITxtH{
z<kPl+oa@(P2?*RJaz*_1ZGRy%Iu#pRWoc%{1sj`#p`=JerXTk!a;dPeki`qB(A_1;
zhNhq`c!v<d-+(B-Y9+MT#-2imu`rkOqh#UWu<#?>4+y}Re+a-!U;m{J@D_%C9FRnN
zpm<xcl%EZ#Yvy{k6dV2?Jd(hwV2|POOtizhAu4e_Hk0H+?;`F-MrNnS`^%u4eiuH1
z17Zh!ydb!|AI>3x&x4je+YsX32!WV{e!~ramAy+pb&AoAyCG+GhHQCD2?)5o4Y+nA
zn9ST<Tgi>kk}fJHFE0;|iE{=7%Si;qP)x&MsMB5KX&7Fcr+Cm5Yb<@I#hOXLD0^xZ
zjeuSSzJmb3H~JG}a&*8{HaGv3^@#8QrLpd*p-0=<tPr-lQR^xgtXQ|~+o^8UfRK=T
znBGrSsgXy3zz^?NtLfkM<pCG}IN<X(k9s>*bWyq*m~<KOwX7Y5V>Ou3R$t)r#-Bx)
z5H4zWVqtU7*DKV93BD|ierD+Z8*%^G8K)gO_uZZcGkbCEyuQ<BxVshl><vMBwCwD;
z2G}trQ-HX71Z#||@G3N@zR8V$^z7NbQE-eR96&Sy7k>pjAl?uxLi-@fZ0;a^tF!sF
zfWZ<?LN=}#HU?Uo#~zv3hCf()mh^dTi;r4MVaM3qCqvh`=iM3LE%0plC*xbGk=`h0
zmo!xYt`hMfM56VW@zAFgDDM><e?D!)_VvRx?KFPDKNryVA^{*P^qeEx0E|%L>;@=Q
zKX1qCpV)@jvw%dc8@UH`E$OlrvTyOU;e}Y^=7ftEX-@0Gge4*Ev{Ip#?G;KAMDiYq
zf_JR;b6!7i&ObW=|E=kxaKqs$>01MR{lMJ8oTzTN`wdqFU1<bjM8tzMeh(Z|prv9!
z`;>w;QO{{JP7T^>^#VHdGoVTFAmO;8FjLnn>gdp3TNImd*s=Pqd6ML^^lfOd=0^cp
z{&UkBUEO*mFs6RM`kob3@cL?CbMr_A7kD3J3D^QC!jaQ`b<$T^xO(Y3bSh)mvZa+H
zfK<(;yt`=N<rlYrFrcbrCF{qvN1`+kBiag=nGgLXz=#h<M>pu?$-j;98VxB113r)8
z_^w7<peZ)@2H!cV+sQC_y!a8JH}SGLSO6$6evt0;oRJ||XSXqJZqKy>XW{hBZx2yc
zZ>s3Fj(r0`Asuzq`Dm$gETrvoBo9875o4^~ax~j?A~H!u$EsE2{a7x<vv3=$H?XUj
zT6w+BD8nBE<0{B+S`BnCEB2)|SDK~}qiOeY!2Mr10Dum_LfgaOJOG&DnA`J>U(C>4
z!=WWxj#;IvYa0%$U67v|g%E>)5=UXYu>eT5#4z9cNGKEK#`V)I$!~)T<y)~ZlkR6(
zqV5Ta7`y&cJC>e0y7kMS-(Fm`aW&vzP4uPF6XUM)g^=*%#Yc;%m<n#tX-Lkz{oP<i
zX422V^@DFfFpx9>L7Rqxd`JG*({xW`_dh`L6Pv>q;&5F_iG78ZMRzU7XL`XsBqko1
zS1d2bxHEuL$aIPHM;L;Bmhv-z#)*WoP(b6_Y+|3gvS-K=Cen=?-F@MVez#EO9bh*B
zuBIO2dZ)rR5>6g4^gjHf2AXX{>mF~r!}ZP#h^<D+P3fIMj%;cM;9#!a|H1s9ggxM~
z4yHT&yg&4nUu*l-gy`SD_{ZGfKhbzpgjB1)*8<S_70`wXDV9v<0)5?1U+O{cn#%((
zk=aUVJ8V#O0AL2s^P;8jYq7?mjBfXK9-}iPCygJ4)$Ig^UsQnbi=MPdzy64z0!-;F
zxHTs58vmh!YhX}~L-t~-W8>pz31EzID~i(vC+Sr|vzo)dK@-quSwXcnVP62^zV9x^
z1ge^mIl$yPe{~o7`P*2{24IZ&rts%5=8zanfpi266(S<R0Jg&bN$nclk=5po2?pN|
z#aeW-1E<j(BW(muD(DZPxJUA_E9wN29r@f4S8px^);JI|%^*^21zqw}ew`&2#4o3}
z%)gmIeGMQ_D`1g;DWWYq6C42K*@q|_*)cFkIiAh7R6ZFsyV2Vk1!f~Qb=-JQ!(kMW
zo@xD<0VxTzuERHVPH!Nrt{Q89CI7sW=S>fCiE<Wk`^cep%Nz}NV&RC4qlo%x=APSg
zHQ2nt>oq<6N7*zuanr@`F@SqKS>FU8p!_{~DVTo}ZmHg?Rl%*T@4#{c_;8R5!owKd
ztJbU`1S1_(>#>NHb9Y@yAD#r#Eh8+NZ?pEh+L2=DmSsJ^!4tLI;U*@!Qf8@|Ucy}-
zwgibVhdcrul5q(0I-c|UHm16{j0?z7_2NK!oD(3EbS-5wkayI8y+193FS67zGOnm|
zmkoPC1y>yvbWmXQB_Tx6Q>S}i(E1v^r<B)obIH#Kb*PHS@#3J-Uo_uV{PX7T#oc=H
zCu3t{dRy>ojc7YVxd1!%|G%4{_w}u5F2PY`b|bQW%A-h>)NhnGHa3)A`;Cfl0es@t
zZ))>X<CGa^PM$nDvZ~LL5hfE0`uB@IS2wGvsU5?%_X6e~i`@<ul5fEnpe=CfK5Tso
z3P6cm-S6T;CPB5A3iw*Z>ngPaQ?v{>+o%VlXFh7{QTEkP@G#~_AG)R2&QAxgyY%6b
zc@`p=6F=qmyaplGL=;qT)x>96<R6DLG&TDvVD0i3#-tX`1K?06ihBS)2e>Z*yaFla
zSTkH7ajea}pE!vw0EACcJ2r*V>2D?3e3`}X?XH0KK80T7a==OMPE};M>GHanLXZPc
zMN*Jb(5cD#>@&@4@oq?<;jp?X39dwK&*Zn{r#8-tzQDBx-mHg={y&#(UvI48c@<Ii
zf0^n=`x<KhfKhPCaD&UvM~aS;BB9AtxRDJ$if2I0;7szfseCKQtg_mtO^|`>T@8of
z^DRJsqiCJ%aIq3xzyk9psJFEY=$V=rsdP`?nV;#ue_0P{*am_MwCqW7#nUUWy1cRI
z@Y5AuF+?H}S3Dhq6@m<RZCP%LLK97#Bhfhtv8tKSvdtUeYXGjk@apBuJK!7xtb8U4
z#kI6&d~x>EQN7XP^RwN|2X~eiMZhBqSORbaQMyJ(B8QNkRK6;(RP|6pMmyuP3OHz*
zhs;U#<dqG+h5n-{L%yberYT4lI;V=NRM9O|P8H{;T7?vk`bD+vR7U?Az6cEi|KI&w
z4To5$gl0m_-jM9Z7#)b95k={>(7wofM9-bRzXFOaN-D^p46tXAbJA-IHXOg18figR
z9y|5*^*@tuEmYaJ-Nr`#J4O}j<_P9=dX8=x^n%9X-tY|nGw?S(*sEK>0JY)ZO-wb0
zeI-Bj5@LNCCRMWM$PF0MbPQ;Zqjhi-x_P7JPWEqYfl*EfWCUe--4S$=w=LIzvI=I3
zua6^Y^TvfLi~xpXDg0r$WEv{~pQNTyu^!As4k%@y_zQw^Vz^UK8_6H;$(s~;jr${W
zK8PI@WlB?QyPa}wuUS?b&tTR5?YVpo1a9MQm={la&OnrK4coCA^!n0`(Bs3Ux!G32
zhPMPYb@L09tX;i&)}(^#6k5!pgVvU`-JMWCbI2Uy*)bN~j>gPns?ezos9SGfT~kMV
zYdb@F!MR4y(GVbTQ&@e3SoiW&9RU^!jn;vGbY^K2aj2DC3B?&FtilUkLqn`>*$kvE
z2y`F?{O(>=8}Jr_1=G1zbua?lkP6{3$GBi*^I2g}9AV<qG3pM~B<f7cA+?a==Hx3^
z<Px{%>0aYC7>V=4b!-FpJm#lCC}#)KrPCM_7f}KR689-6hG>p>&p&C}t5?Uz8x9wM
zSuoXlJ^KbG87dVsTif~|v>Qa1(PFrsI42RP?qOK?uGcMX;gQ~e2=>#r1hX^6{wk|O
zQ$&-U-H`hIk&mFcbNN^-S3mAJqIGsx4hI%*oMt9rV(;v4VHMmVsQfQb=NOovLfL7(
z41N+=cPa)>R6%8_vjVW84UP;$z^YQLqmH8=Ka1a-pUN{iBRoX4{u^q*aY!=vcS-qF
zxPh^NIavaMLJy#&0e}Hi2+r2NJhemj27fcQy$>G7(=-X3uxJNDd%LVA7+fIrRrZFP
zizoV(bZlQ%fOGLQ6=u#1RvR5-*q~~oBXf7SHRGO~c<x1Pq<oqO1!A0+;jkS#?I+S}
zq<{w-T79J{X6$^;#42rVi{Ic8+t4SvS7CcQHS#6kX(L<HNg)W`(J+|>HPS-#UGJre
zaMT`O$G9<wIGimGU|${ay6jg~l?Shw>)5%d;Z~+9szG4xn|FFC-_K2PC~rVrOfk>7
zgqvl#LdnILu6Hr0j)c0l6RmRU!Xc^YWscPXC~|_~RqVd8tMk;3+|&RgtiHa!@3q^W
zj@1BL`z*>-@O%k^Vk{YEVNNDL6WSLfH-wcL+z&z{2R%Id;?$1%U9fK5LBL(9;I<&;
zAY3TRJxl^&OsmJ*jmZ?SVU9t(V>*wRw%P3yrK_$Q-S-BPsEH)^(dAx<#w>S7Db;Iy
zh&neN*$IH$z3Qg1^Adgtg{N)BB$rgwZ^P#Fnps*(Q!sG;kX80<8IAR&J465<lCeJV
zhw3muE%(0{<XT7F2g{x;3{*A_Q$Dw0o#ZhH;+{&h?kVQNWfj-`uUte)FywW|g>s|Y
z+<4#8^LV39iLY2{IT()IPTkJ!ww>uS0RrDu+d%L|-3&1PVWxlpg`L&t4$j=VIXu|W
zZheUMapKO;yqrJe(&<Hqlh;ZcMi`uC3#?AsUZga{Zr`?T@=#*nM7G|J)mJc?c+cOx
zLTgjEn{rVb<r-W)Sv__i0@C!@(s$W}#yXB!uji|~73mA!&Qm$QdmGeK9x0%eVU{uo
zervD`M~F9=m9ktw{;jzhVM%}o6(vYlXSI!BnPS>vo4tGXtcHliEVa8+QC|e=^Yf1-
z@+8y>YBn=z^C}3)tFJ#&SGm6roKRd{&7a9(uFLzRvtUK5reB>8mUq|rEB4-lRS%9Y
z9GqE}iKD0>?yX;Mx4fsPvbPq`%1@1SF&ySm=Z+LlH(_dFZ?&%ZBWz^6Qz?<V=cj5x
zEOa-B6WG*(r@=s9;6f9X2kQZNk3~S<6{}Cf6jY}2YcQ@PF`Y(w!X*}0kd3egZ0J;T
zTTp*reJpG<aiNLDz;vbZ_Zs9xzX}SZf!pTiR=4L1unHo~#zu&7c1HQurtC(b58K}G
zZ28#;20{xP?kci^=~v7=Pz$%m$YQ!47*>D&Fls$&X<%XtedY(=XlVG$6qtk|H6|Nn
zve1(1K+Z`LkoO!B=z43dy&Df5rO6=-XN)8-g)g@knu8(5(_)O4ekQyn3HFevrlY81
zvsdU^XVElFp}FSFA$TGhSR6xdrw{U9OGXWV9s3}>Mk13KK>efx`WhgIInXB5gBD^1
z1cH&}jgYNceg#9x`xY=y^O?PNUiT(IhDqEZ@l~IKp5UKyAwV}7&aSRB-%zGC`^s4R
zdpSt7D<D7Yf?*__Oi3L024F4wV7G%2jS#4<5{~ZpeR_M15gVK?Y4D`B<h!9@;z7Qf
zDjEPg43Pw@Pn`o{q6M9Y47{*Mn$&nU@BfS#!C-xn01A?PcSyI|qIb4GPP57473XF@
z4H$;a51JwY>--?W&dL06H;u3K9q}6J*uVW+K-w;0O6F|Vg%g)IOfQ+0uToWsShC_1
zM&a$GqO!;y`|B@<=d0|^lWmkvM>|x2F=Edpo}xI~Vc3qPRSF9<VjudYzP!`ft+>e`
z9Y#!r`Jv{K$LTwjJFr+$&j#Ovl-Fh1)}Tj^8i5CL#Ey6pj&KIq94}*)?XQ3ju2b>l
z4~%@qBnt$7Iebx{qR3z4FzA-r?_lZg&B~arv_j^b5RQSgAIrr^(>As<EqbS;`nzOg
zCCrTKTjovu`clnI<vHKv_c^kXJ_#kG)>mXU75DVM!enf%?9Dtbn7*|jL{qi^Te;CP
zwB53Zz<bkMgvTRV`L%Nm_UZRFjP*@`u{ws$pnh}`$-xpM?&w5~Qzyk9Q6hXN$oO@^
zF3O<}AJz;mULrBU+U5#5Q}vf#oAH2^>0jDzMV;edOrE_nIdSa6s#Hvn_(OLtU$29-
zu-_SfekN{`@P#DV<6rbjV>$#WY~Q6&WBT)q&nVW!%loL|2V$KjWIde1sgA_KO!dz>
z^0-cTc)?nkp4x#HL%J|jIJ%0d2<_0&86BT0Gtv<mA8Bqxi2fI4@y*MpX}etII9ey(
zp(b(6en@G-9@4sl6UXS*JhPy=N`?tjo*!0aGoQ$L7z#zRNe#BN{0rv8mm$rMcBo`W
zJG@z?_aTgy5*|^TN=3Xg_>EYyac_Sd_qNq$b8K!lp9hCY+M*p^_X|j@hZ2%_l%y8F
zfu5bsH^ug)^Mm3mbZE7Ki<P@4WLKjdT0358(A+uqCZ(S7ViA#S#&&<DQHtA-UpXO<
z;$7mqVDaZaIbXVbCIsPZlpe3)RHO*$RX2HxXBe8JL`vS?oB5(Gx^cF7qttJ#-B)2h
zG5542$_J4c#2uK})toPT%w%H8>v}yo7fw>ZRxHlGhEvnEh7yKEb>wWB!$tBaLFkHV
zSf}lbFW}dX2Fs3?3e2@EDS>9EoFm!uNxr;LrEtEWR9N9x_OtA=YR)4tqCcA}M#ArS
zQ|BCN28W5j8=-A1p?j?Djt}eKZ=PVIO&_Opua}>d%z9@?4K#ZU@bZr(Uhj6{d<Ir0
zXLgQijRvy{O;5Y-GykRpt4sU_9pw#8OMF!ZPE9662ZieQcKsd2%x5rvx>SnI!gP3A
zq}DxTkUUl@41l&5jY!&~>hz@@eG2~$jl^+ldEoCOT<fq)(oBp4Q=WlYW%q0<NS3tV
zDlI#}2d7NK?wb1C)erWEL4{UHGsjD(Dtdlc$|9yrX?C{8Kf>bm!EgMt2D;+PwS{3g
z7rbX;bzq=t?hT=x+^^N(mBz|ZdJtD}QO&#emMpf$$)z=D#MWxec*R!Qgt$_5to^*r
z0XpsFsOG!6>a&Hl3L#N3eP2%T2)NA3sh~8?C)s8RFAcBUz9L%F_*Kw0)v<+rdTbw)
z-Yofi<`hBhV)tYclBg#ba3tjYf{i?bQ-)<y^v9E_b20GrQ{^0S@$R<;fr8RqH$Mn7
z&;8zgTV`K&drb%j&tdl_eW*4$f2@`DAq<^0lecC?>%%k!VXO>k&_w(7wae@R5^bl>
z&C*Gw4ASwXLQ70<W>dctp8c1WLEK?PR<LHaofx=e?ltU^M0~#jjUq|S{E`QslA|P<
zX>>cz`{}Oir@U0ALE^|@rN@@(A7^#$5#kjm=^;Vs&pnKKeBNhQr{9}8Fp-CmW<@*n
zm14TC30p=NM)K5$9BWK!RaFw|qj0TW^He;ZZw?fgKm4qBYYmpXvv*Zy>x30k(D*86
zGXBmj$;n3_uE2kF$TN+;|J?37K2xw@*81$lT`uEcN=r4oN%FqPK%DX;25<CA6Lu7@
zqP0Qfu^hfRLB@IRW4cLewyv5d`Fn#m?~$=;M0qB&{Bg|!La(V`R)zBY?pd2NT!np0
zP&QTg@LP2$o+)Toy%SoQxp7@R^;~1`(9keA&3-n7Iq;w-H@)`p>twy3mC52t)-|Cz
zZz+Q!4C8p0^IlHSsNNm0A71mz?4URa<M%<pvYIksZN0`PG39GLEdrbobuA0UpJ2c(
zz*#<9t;~m6E3~D?R^oN|*HIa~3`V#mEKpzQhv_1y$Z`8bd3_3&-Tdj+R-)V-t4mWT
zNMk(e<wC1ku^uuPDO?=CW~^kltfyyZ((Hk{2Mm%I!rG5FJeS$U4JxQr2=Y37>Ia7}
zU8Zkg<1lgl$O=O9Ld4pJJ<XipZIrhD!j))_*(U8lHh1`p#}(9fAaks-c3s8zInb>M
zd7gGky_G6Al{u;5Rp}T?WWwlc%*025-?c`itTm%UBZbPR<k$9%AFeTpBRsV?SeqY?
z6;U=yeQW5)mHNF8=mi8nWoq~Xa+6I}lRFiZP5|OOR?^ZvMygM#<uc_@ql4y*`AryC
zM@i7^kna^)hlVe&!0OOUoz7efS6o>8c`uSp6Vk8Woq!iPi})CZF24#!>hPD58r#hj
zL@x~w9QlDMxHx9q8DSCg%7-rg9pgXNzA3!GDyv+NH!MF|GblVzb3&LKO_StC2ldqd
z$R3{<+*#rbIznm54(iZ2B7sc~#9iNVBU@|f@oZe7Rik+A*!f4)vG%ue$(UmQ%42;e
z?#{OF7x{HCC)m-HN>&!%Z#US1{lEIT@J^}ncFpUL)!O&3qVI{_?ec4h{qf)b1L>4*
AFaQ7m

literal 35035
zcmeFZ2~<;Aw=Nn$L8Y^_lpeGQAc7zQ(t{<X5?TvXlwJW5kY4&Gp+qQ48V!9LDFs9X
zl)echih=<l3POMYiPA|M1VRWQ$z1{b|NoqE&%Ni2`^I?VzIQUJWI%TIUTf{S=KPwu
zbN`~{1;Ksd`yddAAk5@9YY1d_7zDy|V-GL*3o)Z`3H;!_VRqp+@Dse~#?5f>W3Ru-
zwIB#YDuMGqSIXpfcL?MN1oqpnm%{SqN8wqcw$U={w8qehN6Ka{Hx$kvIjJ_dKW2hU
z(c<+PXv~$c#XtAQFZzx@<uC7iQ*73DL(-v5Q*l3c8mjP8%_!O3?7FpmZ@)>voXf9j
zmUlbu7ak39xa}%%AmCw=ocH;h?8r6Yq(tSE6GItUQJR&6l@ID99a2yaEvSNeRoyRN
zM~iD~u>W8E2ceTjS0R5A7ZdZeva~dm#VMt3Mj)pZaL+H79S&_CWwj+Ogfy2+_%?hI
zgpFByJEl+Y!CD7>>y6N!eZ`T<ge>YDq4Gs-40>SWIka9O+^>?r=yizJ%kSYwZh9hD
zB3j0LF2Hwl)(>&7LX)&x-;P0}u$fSJ`ouvP%L#d|T1MF0&F!gyq2X9rZA{_71`=8#
zA0B};yLt0wD{<ydL7;xSga7N@B{T*Tvq)nQ7KW;)zr&nR6G3flZGQSylz2gj!*Y#P
z0~>~4R5%y%e<3chG+-C1K)+QUys)~uI-VRn^7if9+*GtY&Vm`k&U30H94}JFzkVDR
zjw}m$+cR}Ry?E3YqXUbi&i2a;y>jiiQ%Pu6#3gu@qrQbS3x|z{E(`|;AYWX4^_7|O
z?HuPSki#|Y(x3dFT9(+Py7fQ5ypW*#cOh}1uDzp!Vp$b+^XAljVx12$cyOV2=1zs#
zau=8_Se*7JQmIfdaJYlF)I2r9Te$4|Wmtu{sHpaMr&8tSr`yCn<cOUqz37B}odaCo
ziJx;Rm+QCYg~l$7Z_HI1De#4k#8Cfyd>ZD3B;~d&>Sw447o}OJx<y1ZLHXLotve4D
zrQ!F5asn4|!Ry!EXjnluv?#4?x@m|)!{|iPzjkQL!zwJ6|87fheOB9g64!dU?8<^A
z^85GiS_5|YirUtNM=HCvuItjuzwUXw=tW)&+P#9Y5W=Xi^G4<|uC_yQpFe;0;N|5V
zQ#UkZ4M0(|cXT}z8lMeB{9aF7sI;$N`~XGG&=?|#Nl6Ql%5%ECngoZHA*hE8UI&Z}
z(N13+uJvZ)qC~jzuJWHCJ6d~Nln39aVBEcXw=Xp{757?JOq!Yn9cqncI2s!p<4u=m
zEK62iK|?dF$A;&qDpttY*jT*6(CO2sLoOpvX=vQJt~luky8=FO>(k%$jsfou>B&r5
zvty9c`kk-xc1hFn*^kaeQt~OMz~#d=f`^wk*Cma_Rosfw{P3ZI*!%U5xyOu;`Y5{N
z9B4EO3I2^b2qr376+Aa!k3=uOUn?vuv_#hO2}x=z!QvAV;LQUOu;$U2*9Nqapy?|2
zt|l8B8?BVY#22DcQqdpL7i>%$pA0muKS~~-2$)K8hWC~>FJ`Ual_8LqC+GFNC*P*v
z!+U7c%|cUF<<w+)1(){s!<Vr3rj0=%T8lbCqm{J<YLVe9u3{_x=g*(F%+1T&Jd4zF
z4DP?&On7lk{h~M1MR9T=_q0!w0qpecLI0tid_C3dtgQ8JDBM4>tC^Ie>8%p>)K$B2
zURsCUrFl({6b$a_iU+Pjk9B(itp8NA5XADuZmPU@UtgbAw^M6W1*0f!y2r^0%v?VY
zhr?MZ(7T)}X>{ndDmUCU*f3Zu$=T|F@%B<E>3C5dTserF6Da(Bf9wm(RB_zMheje_
z<VUAg^L?W+DCWp3W&M%LuF{<!KYrv-br|%jbwWLrE{ZI#&3Mwim-9(w2ma$^DJiLZ
z#Uh6sC=U-0yefvdkq$d`>Qt3mSlBwvOi|S|kT}(y%btIgnBDdM{d>itG$pTc5uY(M
zJu+d~w!(ql24%)zFtZnlTd5%2sjOeO*zq;z^w>9_2i3zsIwDyu_YbL3gr9eGbO_(k
z&5uETwsWop_f{$)MM6??^D{^g7ZoQDf%K4US&|B-Zd^}WWiV|g{v54Mx%uIdyn=$N
zSyd=ytVPBE9X;NjWRq_>-3z5ii;Fki0BJ+dui;DlgVg!loSdf3LFb=1S9dA&1p9Vq
zod0llOpS1Jzu^n!ujemZ@VHXx#GJM6ya%f=JC!<-43*LMCu4_PU0v&?Q`8b9q@@j2
zaqr5n%mwR(%x4)c$AG+Xrkv_nl;#aauYlCY3`8uhEf6UN8%kUCN%>Mw*uB(`i;q??
z4ym;(j(iZvNx0XnZI38(BZpqWgE(0BN-u2d(8Ic1s+^&nG2XlV2XRyER*w02k=u#$
z1|t5z($+oINJEHl{_wbP7n<`EA}B}RO60eW{r4&UUtSB|sb&QIBPfm;6V6aE)8)6E
zdMZqtAF2-MNR~<sN}Bm!RP8D8YR(p`9Y`VAIj2voK`9H=2<M1DbDSPdSf%C>=BU1r
ziDp{`;4or${oVS$8T3(HIV?sA*N0TLT;7DrIM>}Cs&{4#6AW4J)nsL57eMWBDyQ<-
z4rD@gG;w{Y4yV-BS4Kg`PLu8UuU2o61Q}(RjWVO$i3iortoE<(9%ND@TCQM7@Uxs8
zUvL_n`<-lug}FIe2j`6(`AnhVXQ&b7)}6~xlu4C7t{>L<#dUaLEjP8s7HqXgQhFig
zw1}2mWYn{Pjr+d!3<M#XP~j+|fcxu^(il81Q-BlSd2hj$^$ZL~vs*S>K+<C;Cnqmj
zSa-CyFOGrq&WGF#K-#vf)m9oXK4$sW6OR|6jbH$!3?wHdjpjV{9jbD-sw70(BiRKL
zV)>RH)Sprq=}<xlfKk_doXx6M+a>(;nHP;q`oitXsVzlm&cud*@z39#)Hzr8U$(o*
z<%dL}n48WrUt?5Z#U&-q;m^M8)cl#4U;rnYlfOBqZjQ|dD_r>9w6uC9bAq+B{+D&9
zNB!-gK&D#d*2X=;KW{PMRZdbWg5q+Z&IM1pj7&fxrhbK@@_iz2BGarZ3cPz_FzoIt
zW$92=!><FiFqV5g(MM|doxOMTb!2qemGa@yIqE4;+S{QX3OZ~x<+)#5m(wftpO7fR
z(s&)ujBGq>v3KAzi>|^0fn;4^p1W&S**KLm{UKE91L{gyE!#F`($+VdqKi1_4KN5Z
z1|HcwYKb&UNJzj0Q(9<iA@hT3I{NzP7Xuqsr<(ceNfaaI$1Lm4&Y><Hb^?Hyl;^eb
zxW<HfD+`P0n=US7gYofkKa1s3%aWiF<O5Iug2BQz1<&=EFK5SK;I9V<2V2L{Jxa)R
zvna0I^&tiK8JgdZavw1DS3j&(lN1c{VmZljc^+g%?N^6C|0D=jmEl`X{To_Z8{-LX
z;lX^%k^wu4#d2lprZddi^jgR*bASnMv+p-fNlHrQ6|^|SgfTeT_j#>h*?{iI%$?%Y
z`C~<BP)o{Dmj51>tV)0~Q4GfHSJFrSI_E@dQjjL~gEfOd6moah-qnKD`HpTBT9#DH
z;`ET{Q+#)a7C`3zyR@{_=4R;nSoAY?p$qNe$H=El22CbHkk<44h5b#`cL)GQ`A~0R
zNp1ftNC9DCc1SrD8Pd%BBXY5Ey2rgMBe<lv*jHLi?3x<mynl*`;v}<nKtaDZAW#4B
zXfp#f{iow3r#zl&m@cqKMn$#Gxv)UFYfc&Cztyx`WJw+diq3hYmgJD3hQ_LuhpM0c
z=PRa-)dM+pb2>rYm%R;K*OsST!`DDT_5^^<*<`u6tfI+_20#a|SGkOG5jwiB*rHwm
z2Wqkku`y^`?%=_LnCuDR<Y;%k@@v&o{3&+?6f#F;r`dLgK*hoSar))-qRb1&=Cz;L
z=6lanD?gJJPcBYdhWEsbg*@|#h}b9|>dG{Fo5jH=k;?cifQRlNF#trPtdMeM8F}eX
z9Zl)&g@zJZzImq0AR7ckuV``>nmq9fIbRb@V;PD!3naDB#+t`3GJ1>5FsW`<$l7YZ
z#5D-0`}we5uiA)?r9=_=#+UtGEru`yQ<|OkiH_E-ZRJvU&7TY0#qhoj>YQ_p?`YHO
zp-QWTJGvqn)~v4EneZmpj%1uM^8zUFriz*JI4l;6df|+TaYrU5CMt_bOS72Poez*B
zb>S;hMv)EE$%%=1)~1br4@7(d@CFn5EPApt-N?L`LSvK()%py+y#70Ky4J4Tb@<R$
zeo{8)S0SG$+B}OPVM1J7T&ntJK0|48jry=M0J}lv`ADw?@EP^I)+v9YaU00kC@3h<
z`t3-M+^j(QJeOQ08yXn6Tm_A!EsioiwGlm1TpKiS%?a`G1)mo}?3+UtnzV7PAo#jc
z@XtAb0g?LY5B@N47E=BMN`Zb834ou)GS0eFeJgGo+Y^(MdtNxTZ1fkU0fd+7CXbVX
z8HSOuvDF}P`bIZ+2nh?LGAF)*1k}XI!!qF*!d&#@fsG35&RVdg55fwZy$wRaj-nYB
zzuQ`A1x*k18`v${d%AN4ZW!!TkYS88sY)J+G11*o1TO6TT5`xXNXb+FZ*cN|FHqxI
zal}T6ii<~BBjHY_VwQm+$mZ0j@_~(+a=;+7yv;#T8uf1z^fOt`u$y}hH8NR#2XfpO
zi`>(r>i;S2A;sq&Cj(&5z625D1Y`tN#iEgGrj5sN>Zt(AyoJgFP_3KagE0vF@cz9?
zWK<N|)|+{@oGJ&iv{+t+W`6kaAqoH>efQ+)yfF%m-9(}|*L&a#IuydAk$6F2Va)gU
ztrDkiUrn3nw3}nZHE&(+6{nVi!Gqn~4QdG87VO5o08?lh7_>B`f&G^XI}K6;t1%%Z
zH!CYF2uXl8mXau_zB#I0QQ9QT@R1u(CQ{SdI%<duS_+<(V1vnW$iN~sLQ9T*v7CBv
z)R)Fp$*6E_R<T4LQo4d>zkMOexwf|0iDw8J2WlALW?&%zl}wHTW)Z4TO04%IVL)Z@
zMgpd#uC87tyaf}jI~g8C!haIO+^I{3!u}nA*?aXg=feI-Flh=%dIeDCP)g&64>7Id
z7u%==XSk)%VlQ(Rh#?_TpD^<DmZ7<xPX*4VrLa>5298KZ+qjacB5D*sENTaOKj%~k
z<(G)iJ9k#kAcdjf)}V0agW`I^3aRNmAOLC|3N_&@*BJcnuS3oTw+GczpQZ&;9fH;v
zOurtd*7ZN_3G(5ezI3Pof|un+0!mhh0&abMUBbKEgJ4Grk<0+}2oTScoanQ%2SQIx
z-;4t|rLceiy0TBF;d|YHZu$f*70q6Ha==tk3Dmx9@79p!Xxnm4SPvk7US6~6fT>c%
zWMtspNULDo{OVMPOWrNdhzo0ka{JJmNIWQ|{O#@SYf^a4#lctORd#c!Ab>QwCg2+r
z>U^PW|JE)rhN(|1h0T$0f<sU@CYPd{WmG#LgPwO+jiiAr2Xqk?vJ@!bHE=d-y5}c^
zifPsJelMmulEFi;?nK&odzBvy>ekZM);7@5$(Gb_{}KakF~<AWt#8+0hNClg3^OKr
ztUK)^TgE0~r%s++qC<&bOckcq@$vC0pg=3({(=%kPS~y1DOEJwn0|82wVWCZD_FVJ
z9vGPARHbou#SyT8la<9HsE8{_t?q4TM_qt&J89!UlmVrOBX?nPCNfhU^uYxv73k&8
zQGkQ=+yP*tDA1n(U`7Px62+-`6uCyD!4pNw+1@=nSVlVB4;)+%4WE3p@Sn#sy1E;W
z!&6@0Ip8-~_po30;nNSHVqlBw>#olg_pLbcu5`lTS0Mn)N45!Sp^xyjjj96rAS~@g
z0%8&i>fA{FgWrkZRogmDp}`e!_DB#v(}1T3P32S%M6}OOc6V5}{g+{l^o%Z`6pYOa
zy78%9|CWhoETWlZ-r!wzAi((FIPpyDn%VLnP{pFvsiyGR(h}*2wi-t0sHK$^Nh6ZJ
z+}NIGU7!~kzVPbjlR7%|87O>cj%tX4nq?^KD8ZW3mXnO5Z{i`WD~gkwuGt4U!F)A~
zqa1lNKh00u;)CI!#9zG1xNGcVmZ`$DL>j;bdRo<nc|cHx%EQX~bJR5qNB)f>(=sw^
zJHJ)#6Ka4AHZwC*+2h2D02{pvAnc4S5O=sczLFij#+ppns`+WwDi$2DYjh10!|a5L
zfj~W_ufGZOBN4eqpOvX@_?kZ+;7^^Rw7_!!UmH&|<Z+$pO7N_wBnr(|%8U5&dfVSn
zymzf#M~#x`KW5P!%~)$TRb<~@>oO7*6<rS~=_}O>UDUs5N{>LIECLq*9b_*p1^hpU
zbf$B*1dt=wTmb*N4Jd$XS${+b5}rCS0A)f$6~xSzhk-)catFMomeig+d7@rsTNx9q
zIQa%jkjsVzUO);<Yx|SuU%h%|FSD2p)ZJ;h#s+{OeE}I4j^N`cXt8#4U{-|WloTsy
zcuYBUWPw;uiqs$2W}bO@-}fmL0xS$~l=lXTAdrq&pFdaTscld-IdYD|z#qidTch-^
z+W+73%>T7gmEZ@CE-z_hqdBzv<o<0;B)nB!C*OSmDWak$$NuJF)osH|3`(Y#MfVLg
z%(ZU5i?-2meVp!W;2JRI-(D(qOql&*CTFu!i_%lUqaNOon(4m2_kk7mFHkcRs=>|$
zic1YtOU9VMenOaIGTJ1XMt$evC49q-k@cVLY~|>`B30{%3&MWGH8TZ`@>_e?Zmz?-
zywWr<5=mQ&Xi+uz%}3Q_xdhfTM~$eLVmyaHgk}j7sIkCM--4`Gj8BzwwL8tNZoc3H
zJgj{te4tc#bB&^8G=_TMhoP}5Df%Z<tytvN`StIyo4G;KnIYld(rCi)FlXf5U;Qux
z<7jcf$gXnO-3BuTR`u<c3;;)SK!pV+R7y$;&8yrQxDrrYDXgGi0-2qiO$pJ>FOj6b
z;8$rNuL9YE0FG}mh+NY*#LcBf`2vwR>B8FRRyMI6up=pq?1o5}=PDEjt-QVCgx*ZM
z9l3^|n8SqKY+XjHFBg^=sKAzSGV{@A*gUmUy_B(B8+$pF9&OcufmUBpz#GVl=wA<L
z4JKV`-5lo;roYewA2);RWeexEY{pdp)jBMUqghKxG}jX5(i;sAt2&`?*Ady05)zEE
zw*RFpCH=Cc=s#^VDY$)sV9^cXH*{6$Q;tKyF7ohNKV3gMisrUZ&pPc#?=fhceCb%%
z(bdX&?O4N}zi$?_aYjiFr&u)cuFDG7cUX90EStr%!KROun)gpQS2$z@WePmKj06+L
zR0m$O^htMMwM7RRdK3?!nFBJ@cRf_`Vm$n_L>L6JuIKTq)TbqXd3pJP%)6LB*2mh2
z&7;2FQBj*r7*O}BLpXXA(yc4wL?jYj-Z!%uh;&}Oqgw{xhL(`Th7zm-SceI0D76-v
zITkjaRH8utJ#cC8PrJEDGet}d$3r++cLqW(sT?pTxG_c<)d7TPniglUo9)h|{1ccZ
zb)BG3R@}X%Ip}%&P^pzwA}ad4r8j$ml!c0(J#)C;l(m$=2>hO!Iaw2eGe=6SNxt_<
z1!yt7OZp^Bby07<ykpk=f%L~Q%jLg1gl~2&;>`QqKK)dpu?Y{gaHCe)EN}K5o-CN*
zi*E-2!YcEGNVTcrDD)aS?0b4by)&Fiot_}8j8;nT3l+B6(%q&-3x5B1RvQOlZ*<gg
zL&%ipMw_|O^a-7mE_mcvHhoyNAe{YZuYIVM;WNq|gS8ad6TazDGuc+}Sux#8><-e@
zJ*}~H5mK0KQ|LU5R@&94^VQ;GYdu^Z7HG$KO*#Njz!ggLh4~F8D>gf7rsDqQ1BDaO
zmnwk_?;kbvI`=6cCVIF&GsVmlAXOTCUE9IJt_&ti%f9>y61|0n>6xRx^})A9{K~2K
zU~A=ewO*l>gf0#wPR+}o*c`9VnRs4SVb^qL#`+8M>>4h#whxs}IS$F9CM)D;^q1rZ
zvI(kAF{VBCryfeISx&;)ji^=oOUSvH?;ko=UtscQr`K?NEUBgO>>P@vrAM*QP4dgp
z23q%L<>MFf)HS_lUQ_%|1z&wQQi(fPKbo7exj7!#*@mWzL*QDUd%fTb-p=+Rs|9&4
z7Mm%ptTJcjEF*bLIcU)MM=!v^Tc<#6wwv?Iv<94k`AL?NZhfW4Y3vkXkb}z&)+;_u
zOOF|9YErWSB%vjyq+m30C4kor!Bl`80;CNF2bHShJit=!26QM$#-Da9Kd@5~t_wbt
zH?E`5T}8WZ)!j=W>5|+bC+FxTCn7Eq`!WS2X+dF_X1Kf`dUA2|Zl8$9xVki|L%8PD
zWp7p#<<eLTv1KUyF^Z-?sbDm%>XT{Se;0$i<L1!p7c#y0C3Z=MdFvO|9KjN<^=3cP
zLDa@qAg)AmOg}uCOs-GWk8GXecyR1ddYKdTc~McCmOPyWxRS5_a*U!otX#8p;C^Gf
zu#k`?aOmavQUV%C9Pv>cu;wdBt5Dti6uHLgwB-S(%FuA6fPg@hA+8Ppkuqc&@GJSv
z6e*@vzu?x+JviL5@Rw4>V7P+_Kjg!MHOXej>0$Q9RXllg^T}OO#b!^cRhMG<-G!1g
zq_b0qDeF_VSs<M>-=&9&vOA0)i(Gcm!@bT&C*V_|_2!04>+v9YJ|U5EufSM+jz;wQ
z8Qo^2@K~dk44pL=wK^?BLyUHUO$DSHp0RfiL@+TSe2bJRGH(W-_RsSf))^l(W7sTa
zf>WDpO33?xa(h46a;Gd22vNGQ0S=ma0p%!W3wCpI;O6ZH7Arm<q?$QP3yV>G;0@kL
zmX%F@p0+H5%%hrg1T2d-P{!DDI2(?oDc#uEGhlF~Sy-?@)}WyKPBlh8!SXBfT@hdC
zVKzP5CLFhnimOtuox+T%XQQ0;{n-*P`iDvxn&IS9w2@+16YHrAWW|r%Y5+9!sOvk@
zs7%k6OZ<@s^g*;J!+^aYGChB>Grw9d44*v*AYI~6S8mE=EU-gLEG#W!j^c7Fnr5Gm
zdJnu1dsZ9sGHrQ{qgxa}fm+aTd%7n-)7;#A^Cr?L?CAr$>YLqnlXG0I4;ciqR4;R>
zo*CC4P!B_e&Yr1g(xbo6k6alzRN@}q?A9bt8rDk3v%6cBeKM83nNVi*>)vyonMhKL
zs}*aZPbRZkM0ny1X3Ev5K^5#khxMnZO~#r_*@tVy#nKp+^|h2`&aNipt4(7PcurdJ
z!Z+*dD}WxGzXLRd!hlAP0!DxrQt7nM@EyEEG_WH4yy}Ut<z*;E4}|4pW3?Wl(jddb
z63kN<=L}#2UI7P0*dEhfm7=Kei>M?CEla?Q{nD*_@K5%HaUt%_Xj)y(gR|SBhpHk^
z*@sveeq%+V(8>vu&0@FH9h#PF?ob9(*$Y$6G9PJZIiB#znFm1{2~*zTc%b2CiIme-
zTnzi|*pwl>Ow2RG|2eUlm0Ab~JW|y>@H&9-(No$&UtdpNHagA)>9`$GHjz?5joYlQ
z&X_8_yHI1g+z^86lGe&%PmlCfuYJEOEWR?^Co)YkWPZOEJ*+5p40r8;UHHm1vy~x_
zyn;3T7XZ11xg7>X@ynMl?zIE_shhWe@5_z`nI&jV0$A7}U|VYjHeUT;MZ0sg{8(dv
zNg@H?b-v;q{X3F)+HY*rLzsqs^yrZdu#_vG)jHL1xUrO%b7SD7aOmO)=+a=6A)~fD
z{g<~uoNy=-${<FG7ZNkvqZj<iSh~?4*Xgb>k!@xt$6lYd>^5RG+N6YkSjkZ7RKSOi
zJc$?^=d(+hxeBlf`PH?TdSTw>?2|B4MH$e{!c3Uc)7D-uwVUgQ6%Z*j%C|eZ!GVE+
z&gE1o*czaSwiCzn0)gPW<8}*c%Y<^=ZkUS2@*+qn3cz+5*pi*9{D2U$-0^a&p^FTy
zzX*1QX}A?q((F%N@T!iW&e~>LtC$BmBD0~PP&zr5hp$H(z$WUKcH#fLD4g?-Lrfw3
zch#M~Kx-l=HdP633qT)%Kt7;yHqzD4V_I*597=v`_iV@G7PtCuOZ)#?dtdV;Y4?Xr
zp!6vlF4Xh^nF=(dU53S^x!nORRjC}eZt)Ql0MY-L)fBw?pV-?uWgP3~SEP|eAZWvC
zUT9E0z=<mD(i88c&?3O1#;e-b&DU9XwnJ4dsx)vmNOa4nFKKKcL}sZ8_%}76^CGf#
zKoy9J$cfKTE2}^pkcLA+XNk=eph19=R07Zy9Jw|h9)%<*&_|Y*mLyW<o3FRUpMzDr
zsBN`s*y8V!Wx!mku&?(GFYDiU0QHb-yaDDl5A=mvj(vX%{DKC4Zi=M3n%eg%XeBJr
z217C`A<Wg9Dt4tt{eoMD+A1g}q<Gd7{VaQ(S|X?yI8G{XYkf_Z3+?6<k_8_AOS787
zjc(2~vA9ynmM&aT-wZf|pBymDTd1(vHYx?Q2>|Q9IaL{zogMylOQH>F2JJC(NC4-7
zQA2GF_|^`lB15p_1HgW`t$_I)YAYxpkQXqSZp*q=x8Mo$1)fxI#tHihBVT^^Ux}cC
zWqMbweKX(!=Fw#fW~bN_XXhWvmlT>)9w%HHasja;b^iWl6xztzn8V{<J2p8R{4&x#
zzs_lDlk};uHnl(k9SSKakYc82n`UjO1b7{INtf<Ew6sXVu(PW(LqAZ@dkKHZ1`>N?
zL`5#R3Axpo+lIE&o%H~L+5r*yp?a_W=cBMKFWYWzsCJ-UY7Q_^@DdWsqHxD__7pJn
zftS_v8ek;HOWsTcm^5la0(QE>u68yB&}a5X#Fi^<Kb7+mM8sup3uKV6A1Wtj;{y=8
zBY^-)%9-Fa1I<H4`t4L_L5c-xb$<4QIvCF%0E$I-1U=$Nyt&@xMv?l{Pp_@9J5uta
zJ5%5q0BVAUtZ&$5RQPNrW^*zWzpb$b6M&7%;&@%#-Ejq=fv*Kf&V+tD6nwBHQz4uV
zgmpF*Y?IB-WGTI34~9x<ZSjDv8X<0{gN}xee*b?06zRtZ^a1P6AnD1gmfSXgG;`X6
zt_~Jk+Q)<_PFB$??uP$U38q~%0f6Cx;v|O3U<Pq|F7kobS7T{F{X7jEj8DM#1Oc*U
z4>OEd2OdANacTquXBQIuDUWDi?IX;Pw$dD<`7^9)4I9hjA%_Do=SQ$p1!1lV9O}qL
zhq~L>LP5Qm0)_Jskl=)KwwjZUTnpo(2%9Rxkgs3A?)moZTS~p}XbzC=;A;B%`aqLc
z#1T(PEM-_P=8e9N>@ofj{(qqF0(rly3d<rcpD_!K_S3-8cRH;ySl#)ATH=B;N5i)T
z5;VmB>xpOk{lQ*_3ke87aWvow!=omck)ZKG51?2xWC>IeHVax)Efzxbbi(4=7|D`0
zrs0e8VrYW2nIQ1fQI^Y@El!jb80fo0RwHZ76iM2jJ$Bm8?2FP?R*rFxWwx#sg&Op#
z<vE0;<iQ{Jgo3U!>}F1Z?ouy!>ytE-?~HMcC3(aQnU_9+yFgzr-Rh@=`I;?1<v1!v
z%Ph~5{I!~)E{c39tm@88F9kZ3>b5X1@x<T^@QXc=HFo7=p9+kCcm4({QfF6AkjY_R
z|7_>2Gn~iSLfALKXr8eUB*`Su3>ggzk*AOSZW#02RMF3j(~N*}UdbWoYr;6)NT5-e
zeOA%E?>0(UX4VMc1JE9+0RtVREH~x`RVmdCyf}BAl4<RfHc{7|tHmB_GYEBan@9sK
zt+fLW0CI|AH~sJ0{qE@Vj9mfNS(FN{FJ&Cv(GTJ-0yM;CSUY|4t@oqc(Pe^!2O37$
znJ@s+HNkEX4okp+=&|aztF&Am0glB5AUT6u!0;-km{gUJD41U^3_a4*(FwnXYyrkO
z^V^q&tsa9wPh_aDprAo1@IgYh8ib=k3uvZHN6~hFNA|eb5-S3!Sxo?4Q3^oNvIKJ1
zb;Fq9Sum*6Y1U5Z6Dg_YQ{<ln0CVxSEw`io_36{6>^8ptou|(CZ#{MWZ-|xuP-1qt
zvMn*EB~Oc0I$JHjfwGU`;QGlc+$sNY!(j3!KY99XB<Kcj3$M6$^V$+TBzanB%sG#_
ziAovYy7hUR!#eA^W57h)lT=M+&r9MFG)6T_c#}Op8kv{p9?fPGG^@Mh<96NRf}PyI
zJ5loTfs4Pj$|D9J<|kdWEt0bnPTFH|vHZ-r>yPgp7Cv;5%Xm&$F}<_yD9)|={7>A6
zF1~Ny7nl*`a`(O3QN5uy2aM5T<n`)##pY@;c}9ex^hyJzg)(<Xn8Al`Tnow!Foz+b
z;6KkARt~g!BgItp>0drwl#g&H`@%dfO8-ni{i$S-C%`dJ7f8Y;ruSJhqDiRhd6Z@4
zyFPR&-);w2X7ft1Z4ZK`hh4#Dc4`-M&c`_=WYT;@3&QsheS1NUY=6c>tRr*hEvj{o
z6xx}uhj)>iB^Gw*s!&uebYAM4?DloOFW5jeZQ&#MmZ089k|liXKJ;z`0t#=ETGzmJ
z)ol!`E=0mMRup<sk#Ng}66eENd=7m2yK8u8+-z=hnXlJ2DndQTGKl8bZtT6gHB47B
z3UMJe32TAv;0vpJ^g#>hA%P1OMKEDrGZl~m*mSsleyB8a8Y!FY{gRX~ZPQyj!j0xe
z3v3FkE595+!aTpyT;H7*#77Z>)~ZE(=5D;cTK)9y)?9kmGu+8JWd^h=DAzZh+jOC4
zvVHiH*v2!Vm65S0R*rAb8~wDkq}Fv{XNHKeGt<iC73|le1#<lJyY=^&i@UJKd}x+L
z%WuJO-;KtD+VRj!lHF0V;dPIq5-75JjTplU%qZ@4BQiL(`PT5H5ISf0?PDq-9YrX=
zVxO2kE7GUUMIZIak=Kzw;n>#)hf}r}StHFLmWYty_B)EJm46s_4|0JA{;34t1}(gf
z=WUzo1B=&6C}XNXo3GLMVgw~0^*lN{B*w7yY^J1wYB<EdF6V!_Y0X@hl+9DqBG@1~
zXyBvw$Zch!_>NT9c^#4o%EudHY!cGqv<sc!M!S7F-{TZ)|HiQ;U-GOW^ZY4-%NW;4
zp5Zhe7P7|!_J(Y1a(2qm<oJPko%h<Z^ikr?&c?f1&h4+ZNBeY4JT@p6J|FC(jzdjR
zEUXPzy|EZtU%iKiyXT)eDhhj#Qg$VCH${v_-h(<sspPL1#g^Vp47YA7u8z;DE?Ia7
zg|kRcOsvOTPW#LFE8}_wos<1rKN%AJF~*32)jq;`7ft`Gx`Yd{1_%<(vtBbuaO%R$
z_Ym^B;W+bfn5w_gQV5bV{gkU+teY~Hr8F(%v=hcJ?xe;&W;PlcEVgA#?yYP8nLM$&
zS$$g!u{N+v-|B#QYtWx+?0`QRZJv=vFQEqP%{?8W4?HB23d9>8&QD13+r(a*p^JPo
zQeHHnaOIg;yVe_lEu(du7rnJjV9$BAkh=nz*GO|wnLj1NZ&j`^cs)g6tPvS9`Pbp{
zqeHKBB||^LqerC)MI9SI_1G?YNF>`m=4yy1IGYYI+&vYZF5FBEEQpmHoZGCwTQldV
z6h`72PNY)Co~2d)wjHNPjVsb(6HXMVQrYh2v9Y-*<A@KdI`ON6D_<+?g-(qb*sIZ6
zj7Q+V7%ZN*Hm<{Dh6|o{ZbbPUvw@jvm`j}}wyOTFl-bfZeo(+^wlMS<>&gavX!t67
zF{$&aWs@vy)*xv@WI_z7>iUu`addm-s3n+-)p-%qZhAu1co(=7MpNvn<Rr6jN{Lo2
zC=aQB7}reWE=i5US3cZSpAXNFM~b6eixggt<><CvN6c+4lIu@Pi(FBB>w^%Q-w`?=
z@icFc+4i!@eh-U?k{-<ea_{-wp&S;UU;sQKBB~&^t^M^>B-)l8s84iR<5{!9r%X_#
z+L*NxW>&==^^fBEd3Lw7%uQ8D^c_li6i6T&#7#U9JvMUhsmpg8w9~}Z?XwRbuDUxi
zrx>u*Ay8R!MyCb!I&>iB7lXP)|II){q6_IL+G+TU8m~}j$w_o(nV=@YWswqWILJRf
zMx2X!X)WMqHz^RNfV_>VkSq03lNr>>mo;7%UJN5&N5ZwWelOJO+KDcQa1dBVCb`py
zvk@#x8r*f_VvjU=BL>}?9r%4uhe}7a;I!VZFdYzm*dbDVrv|~LfOpXnuUf=j=C8%l
zdRK1p3Oyx#?xa76IQ3EqC!%%mD$LqmwiqRd#hcXSkzfbb3#{Aea@)C;wL0$-t+k}W
z+w+$72efVDAUOnifahT3Xr){@=@QS&#7_$+7ktE)GO<Qn&8s<c#@ON2X(GZo@kTPn
z<qrPz2xY1Mj9Lra0N2%Xb|YJ8^G~;qWh=gGbN<ufow%9r+Q_O`eUatvaAfy$3RID_
zME|Mh_W-aKMg`JVT&IP5D-K@GDuCa37_z<2);c3R`VR}(GB7Ek%3~hwTH9t31W)f8
zMQ-m|t?wJW?Lx@>!Y-3PJ_d##(B7wgFzgk<!DzR9>g{KF9pAjBlh=mg8B!q-85rK`
z2;Gcry#Wq8tgY*aKNGJ<xVR|0w?;2^_sph&cle(K?_HRbiJ>xU9iA~-Q3r$1Cw<*9
zLjUi?m7R!UDn3FB&ze6@hYo%~&f6_C+fY4``A>ona2{#sUQuVcy;5wRb#)hE-k2{#
zCi<pTM5_IaxGpSYA?B20q)sPa;?z*xl%B)6D&sX0f;v-O!|lvH)<gcXIMAb+c6nxH
z)4-n(W`f?^aA=(yS25XK7x+Odo#kbf`1w4tN&FgbjFKZI+ziV04?Q+64&_qSkPfzq
zYfN`a06Fq$=l!?#A>K{VmPLf4o)@RNr+G+Rtl~G`zo#Du7^5KKh<f~|kV?bo?R*M_
z*_VR)4KL|XiWk*-h;FP1mD!FsSnrkN9$1DkQv7fSPg(3;MxqQN8*562B9{e>j*V|_
z-xs7t#pkqu7n!ki5Jh8gp~A5I(F?uftlMJiF>!_b$9I+t$$Jr0a)=f;A9pBC91ch3
zHyZ?v@=KalrP^+vNW4<z2)!)S`DO7>Ag7K=(|9Pqgg+Yo6>A8^JhOt(xU7<1=l!_m
zV&XY0aeQWV8wfyQ;yjZopN{N|d-%LS*me{{OHGrW{?-Oxoef=v5bE1;##)bdrcKpE
zo>?0|;}a3Xc_*H$a_8?!SQGBCzHgYCwljpClfYbEpj;G;&t&kAg%S1dDBn5$vLeq;
z{)auc=7cYwvUuCt&N!bsowvRldL)yl7W-ArOLco^Etn_H3(a4i2^KKEuxG?}=A21%
zx;lB(E+gUL);W6>5M9Sx{=6Q>o%K8C&CAE#x*^vdUoG6(n$XhO%g4zE+6H6x|MI7#
z;@{eYH&!bxQrKK?f1M)AWaYC)H2(VW8BYfZ3vA@R%7muqO5u(+Z0H3w%#Rs+KiM0G
zzu9#_nDi~UB@$uyQy5o+#Jc81@pu2c$4T;JCc)6i`M0Vkw6DJ>ZUa5A?!}*Wp`#to
zvE?Lo&IWTmqJAg!Izw_P(_PZ)$Nl;<kQXgn(s8j}?Z=w(9P_|NI!27NB)XdJ90fuI
zL5sx7lVAKmlHdYobeyZ!4){Zs%pOZM{0Uu3|1s)Va7t&sDy%9Zs24AVHNcjgk$g<b
z>}=rOzDqORi#}Kp1RYC^wM97dC?U9)elv<L;2z_iH?L~6=I)eOD&YFO))?ZpA(r^#
z_P0O4L)c@}!@J0BGt+uljmPCyx#DA4EiiY%Fx6j%UMuaKJ8A7J)t|<XWkc{KMpnE+
zyID7gs%HH!^0@q36J2-0gqS<tJC5PDU2CMBTEfg+5U(>Y64?pTq=R}T9nHs^_W9TX
zcvF8|LqkJ3S&jAXhy}~J@Z!2V=>a{;uo|$Q6t0qYq8?m$h*8hYYLWvm5zUx_H7>9J
zm{Dstb4~2vN#POsdEdP`hIek)q!3Tc-Ve$@?@RF+wb>p->Asrc4)xecZ1KK|bHw`r
z;Bk{n$K7H3tZ9t<YVobn;t~?o<>lq~M8|{G+MmQq#WE2=P0h`y_mhE<v;}oIYtzxJ
zsMom2dL~&=;`BUs)X(eJjg8wpHtHN}ZvB43-#GF6**3?mYdu{USipk7#PUAgdv%wj
z(EO#>!KHsCO$v=k#YV%%HbhK9(1zS--S{9OV%*+?A)a1d5#icCL?Y2j@Ms=H|KjoV
zDJ?B6qk)efU)m&oM<Fm=zPoO6zbdghook@ko|O-J66%-fQG3IVWOhZ%wufCaL}7GW
zc(I@X4$qqfyp(g3QRla(-BS7+c^CONav4;D+h}->Wre`-NDr==+0=?ZkU~d7jO6zQ
zQsn9HZga)(+}@P|vFUIbE3X1ZLGQ<MWUs){xCaoh3e%^-aQ3~O?8@{z_VYdu2!?wN
zKN(ofxWhc+Z%;WQvcCJ|j24F8U11;+*f>JGkth<kpLOT^*LV3(B9840WGEfMK05TS
z`Jn$v|9$>SOA1&fmT|mJ_i}z9A36athe#3Zo%)Te=yD}{TKXU`vxY>nxJQ}-Cp)Rp
zz8A>Oy(=RZUGMGx<&3SZErRf7T<&OGS%#`}YjI*%#&){MC6!@YuyEw<!<%6d%nOI?
zA3e7OmFqtC1hn=x3Nn?77CV_5Qw-_g5$3r@mUpohn<gDsYiEC$41|N*tU4XoC^0uT
zXOungW??QLax_kYAyIPa_-KAX%wv2x5kZ??p%YriMaLgui?3DRY=L|n9^S|n9ZwV;
z7kd)36VI2M*_J7OvWoEIf~9$yVOG2$a*AF4yIwZpnE+lO?wXh$lKi!bxyf*MXdC#}
zGQKvr|II7#Y%|7x3>}_OTT`P?2$GFEX<!iDfcdp*Xg)~oJR)?pb!=!T+}*;WI~>Gl
z2@k1zGEg0%?waT^wL<Sjhp&Y2RhWBkWKfgtgO0J*6YXJVbUH2t4~4Z|PF1Ki_<hFR
z1f-Vdk1cFyI<r%`s!@f#a~IDUXag5WR;gu=Pr747zI~@nn{^MO-h-d6h*ld}C_i|0
zkN%#hKYS#YZl20!m=^U098|E}yli9BSC*8NR0}*O!(;7X?up<393CD<aVI=#J$WMT
zq*}X4;;R<S_u1LmroZ0(0@X`%?(6Mcc8HE<a$zSM9TpF`IPUqfdbZGC@C=wwEw*!N
zYU=WtXO)%CqG#9l;ml_2yu7{fSF7A$M3VxwcI|u6+k~)m+?9ykoa}g9Io@25RsW^o
z@Y$?Wca(fw6_A^?Vd_iAVE5zqeCFcgHZmcWzd_ixT>?`nSzlqc-C{JahW#csEt3Jl
z7hXogTUb~~VJkW9sIhf*b)<Kqr2MYQn}_$^<3kWsyUtzz(F^d$=>9ivS?xr0co06c
z;T5F?bU*70L_MQWH#RmTPu4$q;%bEe9j>bFqIlfR>V%fnUb8uQtAaer{Cw2QSFZx>
zz*0%HOU0uee)jvMoqobM$87nHF=soBUkV9g1VJZ%(zJXhO1K;$7;)Dz_CYWH%s}ex
z$7%6JAba97UiY3HZeJaA?k4_q6&)7f0ah^7c#m_6nzVpEWdGT#nTzDndQ6O3`)F?;
zUxK=otLwPsyBpti$<^Sos)*}7c{-YE?GL~wI1Lx$kOzlP=wiyt7xLED)~vWl#9@zY
z(C(O7Uzbv+x`mrG$efbWUb`1xiSb(;X+%9+)rI<eNq|mTO!IVbCp_G|947IScU|pe
z+-tV3)9_hPkm^nw^oX7(wrs41+q`!>RkSJ^Q4t&*Z1Au^n&^z$|K{k-j89wkldH;3
zLL>Iaey-S^r5*6K;LPbbe_N|u;MRw7)8h6g56}Ln__>$0U=Je=m)IsDt2bloxn;O2
zT*>~S$M+**y8iUq1Tc)al7Zm>G)U&!j7`9d<!~S5Mk0;sfYR{nm4&MQnVZ`x>cbDx
zv@*h6-bU0b8Qd({*n8RLQ%}&X55kYAwTs5z+CfX6l1dz02SBv+RYA!Sk4?yjU01jj
z9{v0mi;MX2kKO!2p0{qT6L<3;Hb<#@SPGs24ILq@O*)@>fj(UU)Kk8F_uhDO`2jI5
zbk7%Wh^D5dk@HKJ*Q+(8w;(Vo6ZVe@>w_m4tMvGCn?XP%?0<t49na=;GCiN(Se@xZ
z?KUm4_Pm0x1(rZRcLLaF*BAC}XEUURVR|($r3*?mj^ULQ95J>|p*>n{FtX=umEm#%
zsMGj(y6HiL*^R_ZFq&)!l?$(~LQ}(iuFZLSd#4oQ7l)ggnkaSk^@N1|$x7*_R%@$f
zKF88cJE#kNwy&=0%M5~N0^9v)t*v3-zxFt&&@{;-V5#J)J@CGq$8(0T#XUVe-sjn$
zcR)#<Ef7rj{bl`+z+QbT_)b$8Y9y)?TCjysz3}?dvxP5twYk@Ymh_O0Z&l;>U%9vc
zuw~ZC>nQNRR1I~30G{FpRcl^2VgF(7(1)MR!VfewfDLp$C}`!$-EQK?k0%dm>!srI
zYJizr5i>x=tF>3g?f3Qe@$umsJLnp9!OW~n=}FA3?P3BWmcM%Oy-CD>|4S=f{6TCq
z*5+<7QX}F&#{YtH=UL(nFM8)h;}y=joG%hNO1<23Krq@MKV}C<!CW7Y$cg{>h4{X1
zPnbIKmh{dA#ckV<hZ#sV><f#ZxaT%{Mq-JF{9Y}`W@mBQ(?Jo_<2K@2+-1mTz7XtZ
zMef5cU{7Ez-N93D+b0Fbw7Q+(A9+8gcPEp_h`Rvt%S+*<y`VU=x$3zuKpfp2c9aKb
zk^}(I>@?`e31r%>bsrQ1!(G95lRK1)!euD5=^;k=f$+!A>zHXMo2JN2Cw=kt6Xs5u
zp-*>d{{zq}fm_CCU0v_HUei))wL@o;tZaGAlmM>&R<X+cl$EAVX7ZfeJE)&nm*29%
zsS`km%-a_$h>bU`G=6?%Qu)(I8#7u8;7Zf0>(1_Z&i|axBAI!5iH5y~%{H!K>LGm=
zNdKTi&rf0e@~Um(yY+-etEx;t2U9-PL_`B7M!mdvKu|rF2<z0?RDW4&mAe<48QT}j
zgQz>zvqKDyr{0%B2^|f(Rzy%sQ_i=7s2^_;Dy{qn&aEs)v3JMt|3*IJVmTbL*MIhi
zYjkPi+|Ib3E^zp&I%3$6kZfrbov-os>JQ-vsSyWGBJyZ{E7fsk>caz8dc|Gx2RqY<
z`zJJoiHrR!r2*?eNXE8eHI6{=kQ7K|@|S<GFkisJn)#Nb$gVsi7%pw8TM~C0cksRE
z$g$A-@y3W?0m((~ygmB6KOA2f*%_%u1z7z2JtN$oxvd~8vH5*Er?5Yhf#Pw5e`J^W
z@qb~K;5Y-Z!9xuaS$kjXa^kwNF$CEZ(B9LK3SBZN`Uf5FZ2$$FHa_$HXP1>D3%arQ
zX6Oo?{~8SfVWdoHip+T;si;Ht-@Q{k^GYMJPR(E-BOqow=mBw1eEbAIEsV877<Hh{
zxA^h!s<x}B4{f&Z!uBM@g}qG9j*Ov<cnt*{_%~%<8o#?z^4tcD1JgHt$T(2~Va8b9
z;hOEK`6hu?kk60OjF<-gNBkpp6N-*=4o!gCcc$=N;o+l+89~%z)3Gq9sy*XZvFRQ8
z`}sM_sS;4M5mqHe?4dg6<mZ<y#5y9xvV_4Zh&Lomh*1AcZrmQ4wPv$|!J^}*%g>$z
zDOweq1SP(wENZe?P`%K|sU{KaG&hAEw)^z$>zVI_Lyq^Jo9cuvtu@GmiQpc57UEtz
zs)%3O<u8NF<=(lUa#hf9J1d<&$`$_;&rgBiQ9TkqM>2Y9Wb}_r;^WB!yVfTF1H}A}
z%eiw`o<6?>QjG_fM`nQj_R4xjrppZ}59y6C_f}HArgI8DrENwn?H}GkWX(ZXat2oj
zR}UX+SHt~fjFuVkRUoU%AyYb3bv$c(e!XkY(xhdVPCewS;7Z<g_{uGd=V!ryFnqUv
zQS9Hz5T0|Jhd#oP)fO+7>@LZ5iY>M7l7!?5Y#w~+D%P=6Y3f2HOio)_a<eKp+Q>7-
z@vF`Xiu;)S<h<1&K7Zk*<G7F&R#a)C_ckp@J|ChXfbzVn0^;;yK5+FW$H@>tYO$&R
zhC!x%gIMln@i*+(F0bnPl<Nrg<O7qCr5%ntOZt4hh90o-C>{W{e~Q{rnDMb`vw?qP
z;fFu?DD-mar;J<AcC&VA^A7Ug;_>CRLv%lp{E=HV{si>9FILawkI^v}@4CTK4EfRT
ziQDM}aObxsW*VO%m>XUG_2mS*G}aL-BrEwNk7>j`;zd)jmmcrZc(|*z51|ah#ap`A
zK7J+OowhR&s_RoON=M&#Ni6rre3k?E6)t!ND{A?Dru_E(go%GJ0TNkphXii}DNkBh
z=F9rd7Jqs)QG>it+R_|=U@SnJ!)c=b_AS8~HKE?($cK?Xj{jZU6T3sMVb5RY{JvJ{
zN_IqNU$5c%CORp8UJix#09{d$9*N&CB0$k?JF;NNn|IhXZ?`_rrgm<3Owdekkt&to
z@%oS5eXfa_?V>4s(tIj_wGn89)0tgTyqgEIt{wYXT7sFnJ@yuQaPZ3byihjrcuR7j
z+f2o+csW708ZN(A0zPl{(>gwb?{6^@ag7qbJAc#n_U#V<Gpq0c`z73noVU2Ri0PRO
zOaQ!FA(EDD1ZPzM<W(p--Uxil&A|y=Dvc**6wuhd<;gDi$L58<&pq%W4iEeOspiyh
z<K4a;!mQytAKtcr;frye2{!5Xa>%@;{r&Ah8aU`DSN-UhAqxu&CCIpD;WX2tX#RU=
z<>OB7ZV&+E&;<2ZH@CZBpBs2il3CtgW*d5lgW~<(imG-^uh>UX0IxEVa2c-g6iKJd
z?A%Kq%K4_dwBL@SSL!5n_4L^4sko8T!Ly&?e%{{Ae`8JqxuI`(IO3->p`o;qbS2vg
zzN@WKbY5~Iz(`KymPQBPkiv@%Wwr!i?)u3Ux^<;D2GY8gOWM3?OAbeXgX%=bcOQ*w
z6H#><(cw+m5r{nXG<y;CjW5ccaVSH)=y(7Ci+xT}-{19~Sr~Y6t=g~2o;Fb6U!S>W
zli#1`A<yD05mUeaY@%9kfBzwJZBwfmVvFwHyd(^z)_HeSUk_SqHB~hRabrCh*R<Hm
z7F2=_3nkU@`d#+AeS4(zsxoWOI*|jvG*6$t$>+(kMC^Z)#2i&lHx2bTC58}QZ48!J
z>W?x+%?!PhaMeFBr~yc~$i92rfMTM!ZbB|3E#7~6Vqt^XJjN|~72Fwcsprq8uR6@g
znIPMT8wA20y!$$dwK*tnzCL!*$9NC;Zl453GphS0>VX<J`U#B+0Hl()msbx!aRyTB
zzABlyTzO)y`syfrCU_9NUeDjX^imFKWCZQ0f$t+&XpPn!iF;|b#az*J*T{i>1KS_W
zH92{d6u8n&fIsIj*A{)iT#M43;-0?JT;v`D03D6Fbo_+CQFJw@>-pK*(YX6+=Wiq~
zFh?uP%I1zAe!#I*HBX#4f$t{}WFQU&U6U$Y1NZh@s)CIH0pQeu|HW-zU#H!100ZAU
z8dnMFLu3G2tDd2Jt@kw2L*VG<LH{L_4KK#WG1iqWRrTq2pT1&G%C3rvRozQEN8=a}
z9w$#dtqSfj@a&`1U+=!MAtFGY*nItEb!Kmf@t%W>W(?3(3Ml@rq)4SJFTzCEFOue{
zRH}}P?}ZB;1rR|&LFYuZg4FJt!jUsYnFAID`Z}bcA-W47b~VMt#af9!^1{g;?y(!M
z!nm+NJ?fG21w5<i4j-kJIhvxjm{B04bkcH;?Zg)q0=_Lw^+UFLiF|ulz@9H=pqDjT
z(&f|N=cemxYxDcY##o9j?@t|w4h{`vhs&qVXgwTQKk3;^Y32Ly98f=y9xnGhg{5rj
zwy)m<P%yo3baa&BENeF0nplPqSyytgesy&ut83D!`Kt0^b%W_fhYFs@0Mz3-53zmh
z@28$Qox5B6aKlRq;%J<4uQ<9M6hTiWDU$!*n_37E6GjfckKeyI>sh@`K|-zed^vW0
z|B`g*NI<BckBpD=jfr&A%3nDl?%qG(8#S5bnoPe8FeFUeKD#jYcBU62s){+n<I)R;
z36VfF&OG>32h_73ZoozF70Q=aRvI0+nuT*S-1qiqPKT(gsMn5p4;v>m48I19G-Q^t
zk*5>n1$g^NcHPh~mwZ6)k1t?-c8TASIXO8f)vGUESm2T20<fv_8o&))aZRM~N!tTj
zmw&fAe}L_Hz*Rqp^OY=sgBnI}R0GCRWL>Jk-yp?V>RRwChu4*zXMEU6@paDQ!F-g%
zA*5*9uc3Vd{r%Be?P0S1CZ(4mPGxqzyYZ?)v3=d$#klm6Zt~HPiNg=xt;B*hXWz{b
z%G?7H)x}+{ym|J{&KO%m6rS^J_iYy&507chClM!iiV;zhXYBedFpmO2xe|=`@W<*Q
ze918KSMWVEV%^={DMAC7!outF{vq<II-a1l*fE*{_B}jVEk-WR-yZNsy`=)taXmXb
zyBAN6Z=clj%s^Orov~Wr!ISm9a~vRW>G%3LY@Vs=S)@kY$PYajcDWO=V`Ctnr~R{d
z|Eo9f4={eI=wIv!u^-65I{nlSbpG_X`#);of1mjO=S%Utbd|fV7Sv80fEaQ6-=Mf<
zAR)V@c{4ghE3dw~@ve_a1w}u*)|(I`pnalUn?H<qJ>YaMa|(R_it}tG9>_Vx9ipm9
zYSO~`LJk*!7)7b{QOVR3SeH9leesz7>EY=exL3oJ2-OR7O%%SjpT&P`S26cNgfSxM
z?4CKGZGVquXn=BRZ*R}9);@P5@dA$?H-l^XPH3pnqpr!dMWP4Lhnh1?ixPlfDg~av
z7~H*nY^e<l8^7w)48AeYjtq+bz4+#xWDxH?vKxIg&N*)X;XA>>3u>SQ&jU12<>=@b
z37Iak*asePE}I)IX=!0z0z!VQb!m-X;l=lH`->r&Ts8=a*pJN|SK!e5o&p1gJrI8v
zkN><+7(xQrDFZ)UzdlB&bcUbC)_C@*h(GYy0sJ-5`;4{3jKFjpvGV}KWdoEGwFk)k
zpz^D7+W^78q{5*wFuGFZXlB<a7g|L7?~BJq`h%Vn7JgAsYi~MRc(R_b4!lq=FRzg1
zFYyuuR+TM+VH$D%>j38wZr|<rti4}Wiz_JMHb?#Uj0`c`^PzP07bwitdt`wuWxl6S
z>PY+g4SX%=E1fs1GNTQEuhcxVizR1(7j)g+18T>iBYRVf_n4jCV=K0}Lm7tcc+ps(
zbr*jo5K!W-`nqvTBu+)AHZixM4fO<oHYFu8--6~&lbJ1DYHvkTcAf6d(VW|j7#JA9
zzZLa(D~dlxY}*z&VB%U{$6FAlxXC~xh$WX-pBWs&s;a11WY3MN>?rU7{}lxuAgh(!
z++3~nh1ZB&zg9X1=EPkRFq>{`Neb;uV;pZ0;N;RnHP_p?s(oAO%j`0M9DYv$-=;`=
z3i4?0pm;r(Dz2Kawn0xhyQliJ??{-zk}3WjkfB9o)!Nrsyrnx}CM_V$0tjM306p+Q
zGJ$Vlh6p|y*9YpVCP#!Ma4Ugv*m4!Nw#HoF^F;~RcSUt|Yl$2%n6xx>lbbK)Wn~>t
zk@e`uBu<(4Av86I4(<)JEg}?l?mhZhXw=lYR-&E@MA|xZ2?rqJHJ}JCVikbc2(Z!w
z2fX=#>)#~Tx@g6ne1!=BJ(D9VQoi$%e&EY8gn49UBU@Tq4f#GSeET+d@G%IR2Wss>
zU@fn!0+qZ8m#Q$Wr>7@#8<f<6&!1Q00}>9LZP06P=x5e2-@6S9KgF}}aB7T3t6TLu
zTL`<xPZCI&DL^PkwvROkhDA=S&<`vr`+EXNxyvD|`=-_ZXzxs;n#$I7jV)FoP--dC
zm)k(3L=cfyno>$JfS}kQJqm(K6Qm0vK(ticmI7r^`lhNBDWnsTCUik4!AK_{ZAbzV
z2nZy!2_cZ2Z&B{E_Z{Q@IOCjgf1EqEKN%)#Wv(^9=ACmsuS9^vmOc5_xET)3UA%iF
zU}EBSLrM{7t~pRBDbMsHCCNdbw)E89BX9TI(LUf>xp3nqsID2zo}MsU0zsH_lj}dN
z+nS=wZeNqc|25MYC7{ihCIKzgmW$Lyp3O=5i*Uo6zDuAg^#m8dL%FrE(6??`iImCE
zPd9?vZ?vxF?y+H~oA-C1IbV5MY{4zQhQppW(1B3m{813S<*%fQ8HriPO*GpGB}?WM
z8A`8bmN%vA1{dC5bq1x@XPwufl={=Rd!b_eO0&i5km{yS-?Vx@)bV>e@I{P>)g5{9
zqXiPg3{4s<F2k<f_CmLs%Kb=_nD3~ocPG&5;j9S=;U(2Mc8E$1E0(>T%hhWt^$H+b
zOuPH~3~xY;VK?n&{-0Vk)FG(G@G+$H`AmkwX2Ay<H$<-96?mlXOCKlG>UGE=mMZsU
z`_i?lgHZlL@uQJIb&)^jF~_2^f{dJ;oxi&DAodj*)?dtN!eg$kbR4X8PFiefdSaE0
z4kjx>&BNx!*yn~QSxmh<u<HSP1C%?1OVf;Aq=`yt9{p1Bc=4wC{ef>`s@V4t*27w_
zW;y;9Mmu@FE>Er+uFN!GAL!J|L2I&me52ca9fnM#d|%D!efi_GBBU{Z&#TJp(cH+9
zsJw-~_27uHvG-wE*);B}hT>cIR*7y(3kHdyp9z%H`&NP<&hFoHhX(ggyT$)=H?srQ
zvEKj7HJcTRI>Yvz2v|RMAwn6sk?%hzev^C_wknVsd!W4hN4ZYh@h>vszpI}w@BRz>
ze-FifYbeg2o!A5!EZ3y6YWRZ%pUY=32sn5(mwsKXs$7pwKX^MQt8h=2*fcg)Th`Dn
zc>deMssJAjg%T&PYb<E-aq|+bIK1<=6n=}mvt^AHQsJ=b&2RTQB(2jJF+@jICHKaB
zBYFy%Z~)rQIMFi594&|n^xqSj7H?aTp54gJ+rL1lsj3oB)&MhEwMPF$?nh$UWt|xx
zqJ9S8l4k}=h1{Z%W_LycHK8iy2*10){WaX*vu%nFY6?)QT-tNz-sOkPjbjp35@&B3
z=`<3VPz>yyXSXv;u@vaJ{h)E#(-`jhaQ3Q)rN>|D6dFFrh!VDBnG<{Ma~DqMo~!h1
zh>@<6P~8;W_u<1#O07RE1fP={{Km8TLm+f6u@}t5nzCj~A9iJBi9%+GZ^NgGl`F<l
zT?K8pO!?Pz2TCQH&p2}HX?*mP?mX2|kx=y$r%H89$Rws_geiQt6DhF{dpDl1Q#>}l
zzBYmC6_<MOQoR<OyL}JqVZS{;_r3D^L1oWKU;VV2LM#OqW6$2&aZ?hi#oD{a_Ut&8
zyx!%+_HUS5{E82#{};8b*tf95^V$0fZmqG5@l|3b{&@_6lTufI7duMlGP2IvrnGI4
z{TSO{ol>x3P|XQgT4Cqh5RBTDG^x05C?oLt6~4Ypohq@DWQs*yHW>rQ)i;EOJ~9e+
z8=YyOS(1a0x768poYJj`wl$gk)1349^YRARhS7T`F)^|Am&e{${r#i1C3n*4rlCL<
zoFs%w!8*UpP)*%7NP>l#iV$4Q@9Xq{I7c?^MT+RU7tmVM0rnol?()TMP?6rF1RC3%
zo~QVkg6w6Mx(DYMX*G=JX9i)?aN=3i5{(j-X|26FVlYTq?6Jf*JG;rAJ91<LH<};a
zpdwD9MBbq$xHI)=bZJSIB^en*4_!rlukhKon)g(kyoT$O49AjV@2nHGVrM^@U#3?&
z0pP>YEmEgh$SBvAbD7ap6)z>~0arSs-qB~8s+ROx2g``z;j)(hu@~S{(OJ?toqsmG
zjomVgH_vYQDk3VOZ|QyDWS3}Dwdl?Wm~Goq(t?S>N2NV?wtRT9s|o2!VBz<h`twND
z?@s}CReZ(r=g>g{w_y;+Y;d`8+<x;gQRKrmcs>33>ju$QmPj~xvAi(R!M!!GN%=_7
zz_qTWNlNC4hgd)1$Frqy#7ir3F^{4;XA}{pOqq0@{`TtxBhiw)QuI=Edf32W4%w&v
zn;N7>h`oD*Pb$3yEeq$I=B}Le6yby&aX>iz9e3lFJ%fGj6iB)_b-|H$|5O91?0L1D
z|GCEn`XqR|t6L9lFnp2T{t8xS8$2H-yf=FO!rF&z8J1fxEpBC#p80dD=QBs&?KP<3
z&FeJzv3|Y%^B|u6qwSID#jw)SN0O?MSI-4Uae}qysCKpQI90ea-)~aEdr69hRT=f|
z(PcZz8OHZzqh}V0tr|~;q}=-+aEW61u)g227Rux0+*{Uv`1o2k$z8M@$I22%qN7Fg
z85L8ne3oYJ8N^**B|V#)m>R?<rD5HSb3h*)1)=y<lL}!f19pNwE51^f1_~f^J=9dr
z)f-`t%G&0d=zc#QIoa<X-jX|+k&)p5g=l&&2*1WNbQdjy4Tidn;ofFh+HgJyiyL|m
zMGb{a#&;=Ns*rb&$lko&3`5YIS5%wf8YT$MPTGU9Qoix0qHkAQdjFeMep0y%R$t0p
zG#6a7noj-EyKS(g+o5P=rhz{aqxjr!+l(7wx-fF)c2UrWqi-+8GUvCKjyC6f7+f*L
z5($zzo1=v^W3$zX^0`rMyU~h~XiNPgAs00<3WTCs;}O@oR`^}tqtjX$l1k@5m{oAz
zT>S%V51FX@+tBZ@oklzzrTt|m4zoPwV|RDx&IiX&zBjCXo}E2P28DCO&E{b8pjut!
zH}w-RMHOzsbo9OT1hk>No2NlqI(TPhr-#A^duL}tBb>G$c)ywtZ5*xHn;CwfVDR<b
zj-DaqcaJsHo}ZdzQPIBcRXrWsDrV~GRIj1Wc{u!Z#6!%)z2NpJDLI#yl42g#j#4HJ
zUtX}4Xgk8?PnEk{+Q~8&3;*W6@=0~6i8y%MC#&Gn!0Wb4=Ews0vkrOwI;>WbP;tn9
zhz7Tp7scgotO7}QbrC{7Y{prNp;)>=%imCUZ`rM=sHlBiFqCq<jaNapyZmrA-A|v;
zXRTfHIsgh#0f^9&ii(Ok&=>hHGL0H{i&ers&zQ$5?m(O2wM6btm={*JyL*&#r4<jE
z%-bBer?R|kOShj`^vwMzPIq;^^q{ilo^s-fm}6s(y)llz<xC8XR>M3g9*LXeJkZI6
zHH$xfcLQ+(6<c#dc}D;6VV37Z_BuI4QTq;mZD1D&2c62*LY~2ihd0U>7TyfEr1UJ;
z$Sh3(G0-g;_LZD^IQ!|F`lLj_+8ZL3bsMZi96>t%vvvG39y!ivEcv`M&61Y1+h`|L
zk}r&(7Q7KAWZ8Jnu>xd{<Y(O9u{V3WiD*eCa&$joJ*>72mzM2NUoh`g75y^$$5WnK
z7BMlwj`1o}cvNy{%AxEuDXqTSz+q{Ex?#KL+*~PfwU?f3sPl@Q>AKgAg37H9>l+rZ
zk?T(GuaUt(V_LKh3p=zZnvF{ib$ECrKiyIYL$>*x5*5x}9I7|i`fdH5Ytjr_jP8x%
zi`7aM<)`<#NFBWK=}*&Jep?^~=p(`<?6X65`&{0L=z<DanbDOoMZ~D<6n>o9^7%L;
z?{V|3pEb}OOf9<KE-lK6ysgm{<0e&c8ASb0Kj#!skb2tRb3|*%AC{p&7FAuRDz#^2
z6(k3W-bEoMLEY3|bC-ccFdN!a0@5DWaFeXEOO9<>>!X7IvyUQlwFeBFU7phT2@Sb=
ztCU>rpPVYOc$!WKcXfzDuW*em>-FEDzI}h^hnxC$>P}nTr`!MfExzLQ{ZOxfpKi&;
z$W-gSetoxdkJt8N$KRJ8*mUgIj|<nN8mhNeU==2pIv-n0%W9mS3b}b~!`AX|{w}p?
zeVAuIsV&vKZQGeUT48>cW<BhA6L!CFs+2cCsTnnA6(#j%wm}IIVK$%AEw7X>AZHy(
z_A#B5?0-327oT{>aF@AwUb4iuw|8#LfN83_I)3e%euAa>GIRcSxhQRR25!6$q3tU@
z*}3yOP<a^>LvL;$vC@c#V|Z{p(#J9gp+h|IEx_8&^`CfJd;^ZRGr>K=HF*5PZw}o~
z?uo2Cpr52`ZXZBCeeLq)Pm`rR=ExyV)m9~>&KiQ%nZu7*2qUGSBu-f?dxZyFpC?Tr
zUHK<V#~LvDnmA=Rrul05q=vi`=Wh~*#TPzqW!%4iAI*cK*LY{ZWK6DiRs8@*Ba;QM
z;H30^SrrpQ7b|>ZP8a#N?(0`Bf3nop=x0uZsAQ>mvupvm{yh~q4l>o(c(aV4tx0P5
zQ8=`D9@!~5Q8`&y1z<=xI?1gy<*(U0<ZqqNFD$!!IALoWKP5A>wzXvp(5|*cppQFP
zX|!YJW>H<3fRl4E4fkZ3M8M^_J5C*gBjN}^uj8u86~Gjm^Tr;*U{wMM23W1|2f{&W
zgKvTCV5x6Xx$7D*Sjy>)_2D|JOZUNQ=)1(L5*N2!nA`f7n?bGmU#11)XTR7Rn0;|E
z`1c?F8le9L<FTRHwNBYTB;>V`j?Rq$5*mdMBi%z&flPTJJ~lRVmoe7QFaHKTwAa*>
zitTagRTEqw@%7SL&1;uG=V3Fs>A>B|aP^I{E?B&esZC_f!RsUvEW>f;d4#Bdhsl%I
z6!>86K=aqdpS)*Oj6=p{6IQHA`$=HA@`mAa6i%GC!r9+4-vVwyshK)8Bf;c5z$tWf
zxnoP6_!)$@##lve&qPRVA7EE&0obZbGC4r40^gQQgK{nibCL-wrwSJJ>Rpkm44o{f
zxLFR_28Df58jzftYP@=~%_w|k2ngEAtYx6Z+XCU@u{|d>;ACVkO4Y{RJFCl2-#z&m
z8PFC697YY{1wFt$ixq#pzyTa~=woCqt(^M_Wi**z;znpO*n(UofA{`?`!VoaQ~R0D
z1wFs70+3q)&M!y#lWgqluzet$)uMo5%gkb_0djsDMy2CA;1OukcCE&X#hAj3lBtF!
zk_!(?)8zn6Ev-rfN2Im2vsYH&__BKZq6oRj%_p93TZc@YK*KRY(;X{SGrq$4<YL^I
zG<OpXTYCiZtEYFK6cFxWMFw0`8yvniZ7TLdKI*aQn;EU?qX-{)C^8lR3c59P_tdTs
zf0AXZTO2q+y+f7f0|%ObL2Osp-A-J0-ze&=wj%Oj!|s9#HHEkf8lzJTPSTh!RzHoI
z3x)w3d{nd2(<7Sz&A{c-tM~xl@Pj907jy;~qyS@R+XRh80*28s5u%Tfc@sw*=kJ-X
z4DVNnZCs6GCod#zkc?ja4M%RSCVBzEV&|v2Taqg+96GVqpFHUy_~=9_2Brtoi383C
z)^$~P?BAy%Bwk6juY2kBZm^O0vD3A2*b+`gEM@>GND_@FK#&b4DT0v=FqF7!4gq{r
zKN)E8zNE+SU)X?B#ROd-xx!g=ZSv<Ac>$Ffde}coMJ>}tNoN~AesoQ&0uHZ7%BfQs
zVSJ~_cR{^x<}|V+qshJ!wkGSi+r59H!(9jlWR;B%&u^7&@uxw8NFteB;>^O=Um!`}
zlT|g-#lXwx=Hy%Ry5BF8INxf(tbltg2BRBoIBuSaSmCHD;=o%6ix%{BWH#kK?MSX9
zkj^(FZZa<;tx}9#tOVtwg||n~`mXYVdL`1s*E7@}+Xqa+<M*lMIZc{IRJj|HX2IZw
zdkEkq3{*R1EY-Kx0FI8F_KmX8808njge+2{!gO#C?K)-P8Zk5UhOLgLb@Z43VW8rv
z>Akbo1%g15^p}g;ny&_{ssic^MjKLBwU_@_pqBRX!`RZNtTkk(r`-ss5yS?>l*$Gk
z7lGsjs|r5q*Anf`^tyatKW_rY%-IURFs=0$8hiAs@T9<jYdKLyR1r!sLi<EjEC4g-
zP}dGCOlLPLsHjAHk=Tb7Vsq4TtwV}RdxDNwA?9@w7q-AC1E<2+)rzc%Fbm9J;pTZs
zf)@~BTOot1Cfch!VdWuknx?mn^2*9JXEjD&I87c${?gboTheYObWZ@RN?T=$Cp0c9
zHghGhCr1A6y=e^;u)phP=iB9gcD_uC=hce#4Kb>4++naz!T|Da2T;3f3D5mu(}07D
zNq8XO!<QgHSmbrT2g@Rxc@g}AB~6{ZI4BOzW5Ap$aOhM?JQh~IUv*!1O=LX*9IZnE
z<lE<vojIQX-ezlCE8LA;!)F-YEvS&MuDK$+nUFP>|9mWeq`Vkjgb4)JV5Ko?gfYwX
zGNyv{Tj0{nu#gM$W&Z=$U|=#-qvQ-=oTeZWT@N6D3zjR`PXN##!i#A#Yq+#W68ya;
z@0Ih-5O~wgvsrp>!{46sHB0wu2tv?JntAb$NxzM1tp|G$h#zZY7sK-a3PXl_`5(?h
zc3(V-{{4r)oS6O>jfb=*Zr$qT|9M_UkF9z7-8_3=zS`0QY5+3i0`NMiDeY-Ok%LK+
zC~^o`gG@pKs|{}Nht2bJm}YXoWokl9+)j{k)bPD9Md!zObf}j-NR-^t+7n+`Od9LB
z+YJA2X_xgg3U_Mm4eAQdsMUM^E+!S~TjB_ZUX=r3W)UL-pS!o<H{+ivgh&ej{*pH1
z$x_^(tH|3ck+T`11qh!C*^hhGsQ`J20TxcA8b%pXEi<4T_)!U%Hn0YmWT!9pp%C(Z
zsJF84BB=|M1v{qy*bhL40zBJj_TwDHQ)q4@6L`=-{QP>`jMk<0OjGu=Bi8(<a7bj(
zAcw4ukHS()KVHm!oQi_js3tfQ9(i74Gy|M92yveM$Or4b9#ZqQCY%Q2A2UODPr&Kh
zJncA1`YY8U<%6EL_iT@oY6>e6=6+NWJ-`QC&cG=}jEXnQ+(cyURW%|2A#Nr-4ns^y
zRdCZic(8a7As01YjR56IHabvfr;StA%mRuEwaJWE%)I!|?ATvJ*KX})_~}#50y#;t
z&CCp#=5c_?V=^JiJs`RCUoYikv3`eW3CB1x5Xdh&q55gpgx?_eFdk?s83S*el72r?
z%dAp@C}^nec5tJ-`1P0Ti$(J)9q`@NgP|`Y!L8A5?w3)-*=J+5^}g(U1c?+8Sj&S|
z##4|cQ1mNG(O$q|X9B4&I*?Re?o?oaCKo@R`yHwz4oZIa?r=L&2KX#gsAG`-VyiJq
z0z_B89su)5;BNEz`3^iby|R!Z8ohS71)|o?C;45DHG^srfs#<mTv7+TeSS*O>WAMf
zblYd@2Fn2QP1K<77*kPIQ3+7%N1~`MLb_pPm-bkvwT=l4n340buym%3xck)uzsM2L
zV5`M9lAtI`K=BO+<_$xYj6=qPl3=*gH(EJzzP@M+rBYS1>xRHjkj_q9k&6v(^V0<b
zz6H8RKg-2=RRcq&3eb|(2Gn`Pl8Fm4uk=SJCIHlHKp0#0#USSh9q1ulr;;F{%#bmR
zu-AIPu~{AM$Xv@u3t5dpa)GZ9C%f8mVTEAezn*K23bozWzQgtaR0kk>UURp7WloJ@
zJm?63XIgE7QHVW3$Snr{M0nqfAPHW>eBMs?E$AjbUyJ>_P(!ZufCJ3|sI3}ep>q#m
zP==A9Mkxfwyr9AU{ZmpT;)Nxy=re?}9QS>;%X#0Lt4QmdY!uDw_YwP&Y;(FC4TAk(
z0rfT}x~$`>Qb)cA44{O^mF+Vsx8QYfbp-cB(mfzcD>@Zi$Vg7E$nIHwg%U#C7%BPl
z;UIL#4r)f=%6H44)r{dBH~b1!qy%_JeqY~3Pw)|tLzAxnWuJ~7Pei`==Gh;D$x`Ez
zS>hG;WJ%^?zL*SITb#gh!?alid6IBSW|83`$eZUhwE_gIdD2SJiKjXtt$MvvX*AJW
z?dVxg*~p;{6n85@URprq#A5d2RX|L_92a2GtQh1P|KI%^V)a}v1(K1hJK^_6Bey1~
zw)YymL@00RTQe7)p)+&<^*ar|T(utH4n!mm>SajW&VD>HD`XxUQ7RgN$hK`xN>Abk
zgcIk3lDB~Zgo_sBp+b#(jTr;eVMaTV?|hP9y!M?Ntw_zJL6|Qn>MFcb3qw~BmbV86
zbODdI03XL+B@xi%>VCff47@+{&dts{;R>Ca9neXI!<2iQ{n+NzDS!WRnmKe7;ML^;
zMjP1>!!ncUh*^m(_*+R@Y0%ou#Va|8Nv#0h?oCh$p#@DSA}B28=_on3@Zk+G@As3o
zqEk-JB|*ea;zFVHAu<$vO_)_3SF2z57?W6Lm|D<a5bu)0K4^1gz4>4SBH)(xfG9*n
zypphKXGdHC&0T2ss<LY$y$YHME}EW{+U;as3I+<6?KNR}-Ic)wi<CtB%oLVSf|AwT
ztrJgY6a8srQ9-uMO-)7$^Rc=@0T>dPmv&z_)degd{vt^mO@@V-P@;~$eveV2?*@sw
z+<H(_JdOi{6sMJKqD>_LU2w61G2Dy323}oZBkOad!7i;5va<NRRX<n+C$ZWvF{H?=
z;o;#|!2vA(x_%m%gQcTz)<H$6Bp?*8L{(ZJ8*GH6yu(TZ9B18AS?e$t(D;)Di*qpV
zq7eC~l|vK>*pxj~OMw4@QI<*M*b+>=5zx=Tmw^FO!>68}QpqOd_Cx2bn(pPUG5Q`A
zZ~IE0YDzLG0nXv4pCFaA4+_mYw0-kR8Soox_EW_+bMHd3xE2Z3!H`I~CNjO7Veb9}
zMwb^S^wlsLqjughNXw~8iljWA`}ueq!G$CVb-TC%^4u)~ebNnQHTRHlkqfq8s(+N4
z@gdUVfKeBF;^_@0D$9EA9qb6rG$;HDF}TaOpelkb;(hMU>jmU~<8Z@0ZYHY$bD`G>
zcxs0io*oQ=@(7`%qSXXp1)=-|c<FUXEJQ_n4Mo2Fdm_@unQMj4Lzwf0{<L%=rqW@n
zj7(-J;0nj!dnK<I@WD6rkfC9PQppw7B-V=k`vxADX})&5_V3%#0&vB}!+?q}$zNX&
zJjOUR1(*?>Cm3FAd^|V9=pa022&;I|CgQcLXX=I1gXH<i`HVh4eeu~UdM%kBYD^UZ
z5ZE2w$8)44e<o~a){QFnr}1LJ(d&0qm11n;(}b1rh<h^15hqCA8l&f-^l)fXTI>Ci
zSU9JG9x^666zpc>ZRZ}P@Id}kLC!dye%i6L0>u#%WEck^{n>S@sH%$3c+@0Y+><fY
zqsup9!9hve7RkHUp9|73ZaCCP`W9$qMWYPe<YFJ-{zHjm4swhpm3hFyA1b6*2XDiZ
zM3PJUskvXBCi4<L_WL7pq%Fz2L@+6pE}|kCaEvTzt)V*YUzADHhs^$#!Kv|91u~o>
ztZ`gj>5i1UepmrJHEk9YKm)d-2r|PUD*j}r?OZFIWia>TtZF{%i8xvmW1!W|m*G*3
zh6BJt=2dxl4O`hAsG{kSNNI2(-~PQ+1Z_Y3{<N{f?JE{bTp4NU*lDC=vK5xg?GAp?
zlL}=JF^i@TYak^bkER5-Ibwo9`BjxVOkhWqbX-MItDCofbfRTHPAPVyKyh|^e$lxu
ziuA1CFPgotjl8!-7}=Gfk>NBMU*HLtxBZXgt0n4wK5T3pk%OXi2?tIdGGup6mC^+Z
zU3RL*Z$_uAAx6^2eEsy(e0T#y%?0o*@O^Aw#;=Vo=~*7TkQd5)TER0&@Pb{+=(s{J
zkgB{qHfu|~{F^dJVqZ;cCR4fs%9+OQVDT6lj{;fPSPm^1y8i;kh!6FuL0YR18sBO%
zt<9N^z8pY<oz89!@ZxBU_L5fo3l?KgRoWFpKS{2|ylpN*thGiv+>5sDT&HIhIN1!v
zd9Pg!bS7&gsuxHt!t4?!vIbD`gt>&Q$oihhg3?-T44Rq;lGZ%n!Y`ny5J?6QdpQ&s
zd<t81+gJLg=0WU;E`1zyh9uSj7t2DBorr)by-vzfP*RGt8`IpRlV$(j9p(p#38i=u
z_b%++!XsB`hx9CGKB{3y?)~%>a&Gf+fC=XtLKn@q<!5_|U&D5@s0WL17e*KWIA=xu
z{uwb0=O>tC^B3D8#S_3gu-j=;Ho+y`>(%4AJ7DB()0VDlViL)9nhYmtBW8Kx3?nnR
zEf_Kg=vn&UoAXn4Awc@E8rdf5)E`MnXn}2B_h+Clw!y|e3b<NCf>biLy#cwQAJ=XO
zk_*0uZtnJii=aaFf$p3HrF;fp-=IY)gRv9#Iu+RjSybvqP|jK57a{z#E5QtFv0*}B
z^f<3^1xJEd5`g5F;eO8yh_^}TesECi0?p{&fl$QKwH+kL6xJ1tNQ3G{0x+Wpa?Q#d
zz@KaJg8|?EPYV)5MrIl-ki^d&Np?vMSj8I0=-4jkj`MxCO4Momm9#a7w7aCcWzYg*
zA~{h2s|f1yr<-(Aaw&MFM#D4hzxGNA>m?+%SYv)XdXAZ;1HIQl@FosCWPE^Hl&$ze
zTAe&4Q_aKXD1I-FKQfaFcU=Aeg1w=9X#@?+D`Tq}v1Ka5_FC#Y&ufz&qwGwFcP?5g
zH&elp)#EMVgN%Oauuztyj>lrfy-B&dpwdf7M82SZ(41-!A#^~KUzLkLUEBbr!jL{#
z5!O-11U1ufh*KRECC>B;B{gZ?;ABq}W(l7&_*E#fA$74vN3@4ZY+cb_i1>j!Xuz)p
z0{JqjJf&UAXOS4d?GwhmOw=X0WU{O=(aB!Uq<MCF$qQVpX-xzll<&%BSxv88V-jc8
zY!4OO^3<qrP|TBaB9z@{S6uG0o!uNWAyS?C8>%R!OI$cn=)UrZvAX&lRkCvx&j4Q0
z7>Iff{Ld!8uo^I#kKVf1mwnXThiRMcE;pr?cSdb?x5mXRZJH&(V8X&x$*mBJnpD<}
zk~r~EZl9iYy7;{tWq+si*AQLI`12hr;U3|f^-(@Vx5Ihj`G_Wwc<&#h`Hp-&{`{YA
z;?jxDar29K_gymhq!%O6nA(azqiSy4U*?+Htr89MxTh;`O&l8`no}Eg{ek6$a;n}L
zX4&vZ3G<Gh<xPU_3yUzoXl#^}xOv6%`FeP)g6t5BGHQrLpFFXfW~M_Q3e)gWC+kzI
zNGtb3h-}9UPW~VYZ$olV3vNs5ls-c&;;*jOa7)awM>-W#M%^&rh$fAR{@tP3HF(ly
zn8Jx-J_`6djOp<F3r9UOQ|orO%yv4kL+LZiF(E#)47KvwlbrkzpDoOacf0wvbN5kP
z8$MaTGisOI;(%&0i`x}dt7?T)57DK+6#a$~;VMg#%)5^eizi*uSksv3SGWwliP}JJ
zB8u`0C!b9l2_%6zU3g`CWxpcPpCmoewo61FTxPE!IxCbLA(#si@dLGkzQWeyZCNSO
zP6;k$KV&5>4p7Q|5I!JGb6tOpYJAi-RDf|awj*E+&J|)rM)aAWTE|La*`J}i@;sf3
zrmZJ7zqIrWTg6^{#>{lf^3@fyZXFrz$)caPc403{xs1FiSzh^MGTmg{z*`8h7)oVj
zqCFx(Q@?~HF56u=Yh0OkXT|~J-pL4>^{b`S*O)^YcP*%Vei^^HUaTe#Pqm%v!N>KY
zh#fTI$;v%}897Xw4}+;W{yOH5yq=Yd2T?mL@ghIs%eq;Dnqx0b9E-}pFDr3M)u;(w
z8Al^u_X?5*6=WzLkLIyODT_ZPaBN^TYFrU&@gXmr0UF~m=hgb))|Sj_T%~xCsH19Q
za525T)=}uAbR)E!DcR{7blFUo-;cqi+!RC>lq=id^rs%Bu0Axwf6HzyMbj5??0Hq6
zY4QBuJXad>SA%zr&(DUqYnK0#@+%?yk=X-z8-tl>TtL(WV@ht^wQmw9rWu)mEGe}X
zKK5a>rl%=;=G(niqe+y>X>p^;bV(HcQCY5|aD(MJda>iaic^)^-&$Ax#*5^q59<Gs
zDZE_qb|nN$u&6BgJGQ7@t22zr;7z6wd7Ov+>t>^NjqAGqVNUBM&<L#YOpDHpYb%Q(
zN%`Tnq<PYy5&Z*hOxJU!sST>pgygjVWnx$!bC*b>wdJR;;x8Aqk7?FEpDNy%+C;lt
z`tj*_FhO}z@SycYhU531#eulrg2$X*w9yEvYE;WkX}o!o*FJhuyYyI(T;r1v_b^cK
zqu6oDrRybLK9*}6z<Ny(?*yO(PeOdW4pEADWqfN~<K(n-jhxg4?6^PidwLf2*ir6O
zX&lz&*LI7<KSrh)yegwg0{#b5FhLk^^NRQ=T0-Ij4tZS?X)jQeej3p}Ama@A1G}`Q
zHYt6mGA>O1W<u*!_RgLIeUp7F&H1a62RgaiN_cWkW+P`Nw9;PwA|9l1jDM>1PIKJ;
zDbLYxu*SFAMOxzK+InOnZ6w$?dHL4fad9StC)XJ@JTS|nGkAl?2^lN3X<j~9vFpU<
zi6)vsLge#uabgQ)rQU;7zR1IQ4gaEt(Q+GF+CVa?DW{C?^IbWLB~S*#)Mx#$Chv9D
zNen&Pvv%7pHiHz~pyq806f<f$K`0*G_z`@?7uh5e&DB+5XOUXUNnF^pIa)9}sIZ{l
z>H2_|OAg(<I6d3K;LT!0>h$byy}g~Y(m2cIvQ{`jjGX47wlWkYlhuuB8&_7enY)AP
zU95FaV|iLS0>NFlRRP1u;yAVIE@ot~#MU?-9FsT<F*dzrS)i>c@q_q?E<Nx7MzpY{
zJr~3HNTcj)67y5qpDX?iO%>bXYI<`++~;`pcWsR^QD|yAN)S<5;$cn-=yU9<DI!`M
zTr_9zE}RvhD5+kDsLw-sN2eFe+*=AJ8KTRTy3uk$79`6YAu!2{8XG1y7x_Y{i98x7
zy5f7U%XN7#M$3lp*zyr)L26Qi0LoP!t$=#k9`TxMp6IWc4v7o!9wQKFx}B~shQmKU
ztMZ;cj^RB&l2?(!@#~CsN#Zw8#8mB_h#?C*qZq=@j2ps-s3OBgUzY?{CPw5;iqBDe
z!631oVxsp_!JRU6<4B|$UA_!!W3V;T2G_$OV)#C<`sQS;yKw;|b31-5x@)yx<VMPh
m3tZE_k!<w;{9i!4SZeXuJKfC|yU57JFvo3wEIj7%(|-W0*NP4R

diff --git a/reference/ggplot_sir-7.png b/reference/ggplot_sir-7.png
index 19f480e714439b9cf2de308088c5930653aa0fab..4ff5ff4762d316e5a4f02fdebd59d9c8c8c28bad 100644
GIT binary patch
literal 21815
zcmeHv30RZo)-7t)T1Ae>wp0+PHHwNrWt1sssbWOLij^`uFem|{AX69u^;C{UM1zRT
zSOi22Q7|Aw0E>!%5auujl$ihlLI@-zx%&<F-2cD#{?D0u{^#EN93ERBWca@K+wb0M
zueJ7f{lsx|*-sQck&%&+#U1(fq>Rk!KpB};=RRHok96O?KMmj3oU<_h7QVyRqFE^k
zzOB1-#MW0vMkx~gw<2a}##Kh<OBvj^2TuhiPxOY~>h%kih?t$Rp7|e<_ip=o#aAq?
zqc?EhZojww#Dv_VleEz{$E?+(UB3QBY2TlAJk)6t>-<U4-1FmTuY;EkXk~ufwdWU~
zj5m&d&i|(WXZ?>qC0|SGxz*h}VZc-={$X9QmA~(7r?IlOyF<fbDkn(gH9dGLl2LS$
z%4DxV$C$p~GFln^AQRrZeR?JO;nSo2tI_vecPiJT?<aOe$fNJ+Cst~r?+5OG<b=M5
zf3vO(eV6&^kAc$n`eesndjpYz$$^W8Mn)}dZEd6b()YJ{(1hpH%w*^pIXS!Ij_$Zl
zrOD7=G3`3E;g?lwHe8tdqA~m9veFB^C4OV0qwwpA<o5RVsW+uQL$zzHRyFF&DjDjC
z1YUv}@3u$Z=P=o_sUN3vwipLq67V@`7+X4#_GW$Qk^Y}j-J{S&`bQ4>pFZo~{SA2d
zIT@48++4L7lldQ%1N$SM6%~zix~ExIgo$Ra>6dL&O$|JE+;HrHj=sJ=@tE|ym91fQ
zc!%YhHkZ#t69#V@O?3<pTwNnut6#BLzm+(8KX}eC_cZ0Gxp}p6%Bp#D3Wbt$Iu}PC
zNh6iNXpxz-G>hB_@1G<Nll;0~^Fhqgy|quQ&_eUy-yf=r&(6)weX;qV?Vh-!*JKsj
z;o@42X{!ZB%BiGUkpwMUwB3$fgP+ABAv{w}!Znq|lEfpVhWD?cd|#}VAM6uP_MOZ*
zrC_3gj<!;n4KFTouev5{FmOZrWNw?!P@K*1o9!_@lfJeu)|Xa);uOwuU#)q7Q}Cnw
z{Eg4b8oBdPQIBQ6_&VKaJkPcu3l155&D{`vHSO>3Kb+v6iX-3HYLNezKVS>ia@t$j
zyd{oAOc<_DiqFf-3z^GMsb8^nYvbrs>C1`VrgdNC!wFb7nDBex$*mqVOwDa`<%F78
zRriUGr$&Aew3v{=?Y)dp8n?knbMww)qfH5CNz=39Qrv{~nnsJn#KaO(`wZ>#^neAs
z^}$nd6)G!(^Q`jvLwWk0u61{ZW~x;f55LPO(XZ-Dbx#ZRPl^bD(=PwR3*}jZj~ay`
z6jxHg3_mJ==IQ+5m=%o!dsf+N^-DsYH=Uomhb?UQ!~D8Xjp_1v8nvEM#7cCr9u1xE
zbob@8*^FFM^nRmBTC8)p{OU8KrJu4%5^?v2GD}P0tHM{Xt?xv~?0wtCrh3eMA!Cx4
z!@Gt3EHEOKIZ}9`Baui?z1WiFI`jTjf}x)W3Z-5w^U?RY%}q^BS6g0)@6%{BVT>BX
zR1$JEd&OwdwT()NVIn<|Nc@w$)01zmiH;5xCY>xEDnW<Ly|y*Eiz%TuS<l@&nn^xe
zbxoJJVbpp)YUm+s^XwFVJF?4*A6Lt!N_S|w`-FUievMv{gY**YY75&G$mS9G<z<9W
zw!NaUEPD6=V{~&wz~b!C;#5FIQg&Jxu|Ra$$jFGBZ7SL=?|9`q@j|t!TYqJQ!OY9e
ziu-pjzh;a%x`OzPjg8GPBQ0%_J3`>zJ9u@C>-<FL#fuj^qhh65Y%UeMDNxQ}@RoyL
z+xNwsa^Y<MRk`8os;O^E{McF{3)5v|mW0|rt=sI=bGh2j`FjQQ-szg7+ON3NRdS56
z?6lMtD^q$?26|j(;<M0ma?9ybbo+PDr@wn<`MWdvzmMQ|D2xAI#D9DdABIIMr|SS#
zcvBg%O3`G^r`b7U43d=sRHjv`D@IEnwR!NX*D75(u}U?9PWA1t^t>?l2N`<$$(#kH
zPdYRr0`yPqi8~x4bBMc~ZC8hvXK02x13rpYULn{T5g_l?@noBll2Wwts-IiBy1MB3
zo<p^9kgU=P3WirM2zcFd1HF(MmsY+C%ghf86&x4KEEEvwtn9GJN2m5|(ewNvqdFY>
zO8M^vOaG3Fe>^IFKgjy;tMLEARcNC&t(v>@ncC^WcabU$W^yKXs+EKH*2QZwZf!Hu
zBF>E_6UTFc>g-v~qno5vo_H$l<1)azwW_9zHR@BOsp64YZkoi{RI<p>4qI9{mWDNf
z?qtPgX-hO$2ADuC?&!{A_ipja`ShSFMb@qRW|3LYwm@pIeRAfY27RvCc)D`cB8y)h
ze|@v69#M*4!j+p;=le}Y)2}wSx8I!^sCMsoau$Gf4rGR}&m2H+s2MtDfg=MPkz(kU
z<qy089~j^Q2opyJEEexX%=rs&1w`BKL7R$MyWxw*N}LpB5E}p_sgRatmci-WyLX{E
zLVs!07Q8&vUYMPcu^ryyB6(0n{7%Jx+<+6r2-dUb36E;KH@ppIaZ^(j<mMIQj%Er6
z5Ino|$MAA?oHJeyyU@Sp_{!iu!K#gKN)F4dXj~6?wz(@3QrmKZOvWk&;%RmWf4U+#
zmRljnEnBQ7uyRHyj-?394!n*|63u=zVVGt%K`1$Gn%vbTDQY?|Gxz*x#f!0kX=gp+
z4NO?Mj6lzMAbfJHAfm{LI?`;RS^w)#>$T7R`ln>Sc3UG+&%3Hfg7&nYzCMAw?@V`M
zqPT4P4aT;4eaBoCOJ<bmGKjrcdHbRQ@n}Z%k#mQ>Xe{Do_T3-n5upU244i4Th6QU`
zr&(cKu{5M9y~;^?Uh(2Cp0kAK+#TWxEo9KlEBWAa$2zFb3Jd*7oB0MW#aTfj!5l$a
zG@y0SoZQ~WRKqi03-r=8;hjUr10EjDJlBmKJsUdp6<)Ktw{)sRjT2aHq!lWdt3SPQ
z`Feg9`Y5DaYwD(=zJ~MCdwF%?T6B2?kFf=Z%;-)G*LcUfrJQo3^RI8z9Flj$Oi5oA
zYM1uI3t{bZBM9KP_x73fNc(a@8TRRqd}wHDdIS1WFhPU2&1av+gnA}bI|0z&V&F5#
zQjmh=bmrXkO5sr+(Ztcwu{(4t`a}S#n<MzpNWFz_p=)#>dQ4{i5%%d?X>VUCKJqVX
z{{NdZY53&AkR~Z%cz8IaoK{$<M|7Fr4*Y}kgeU4CEP#gy5G*(vd_I5YGihyZyt?yv
za>wYVj+l?7zdun@O}_NaI8WeD2w(-dlLyUI1Sf_YQo1`LI;kI?vi5UzyE}Y3C)7Z^
zFu+xj%&1)SAop|xFI7k{fqx710x1FI+?1dJ#lCxKq6zo0z6w%?`8m^Nwx!ZL5F(B{
zUsPdYc5OpVD8DxzcJJYsmthZ`Go&#R-u&3MU?+#jEX{|l37x+CXyg58<?Esk^h{|w
zY;LrlX9r`ghM_mD`SYgj3MPLP?pvm9{7*u|gPprC=L$Vmu|zENooh1JCt~J(=cSiA
zJmmzH$>ozI{Nl;N?%668@z(>@F@(7zUrO1W%7zPge4QWDF`gu1lIqu*F1$D#vkJFN
z0d?F*yD8qm2Uk8DM;)|I6P(JZj__W-(w^1)3W?}gilHt}%Xj!Ka1jK4I{>Ku>z!%O
z-$>gg&uT;h_>+3t+Tx)7o>cDZ?Ck8`eo$ZSKQT&`{tm&DG~h3cLhb29zYKFX)35#-
z)$}iqHdJy@Fjba6Je}(b1XZ;1`S|bm#BIG)xguKmD*fB#)ursxoj#rWeMG>AL$35+
zn#znT9wMazn`Lw==ad$&{=9<8n&5=x?y!62*K54uk;P1SyU4^namS)7ODitl)<qxn
z4=`?j<1*mLwgqmP#l;5JS;sna1|Xv!zVXFv*gJb2o?nV_61G}fS^E0=-rZ}PZ$2_+
zX>oUNP56pc%{@KIRU3^SHw|DmNiSHqr0?bR%`Kgs2|?UpSD-PBjKkjj`jc(Rm5bLl
zY#~2AUp>`?5AgTTDk$)cX=qA<UD&XH;Kr3JS0=0rK9O#^17w%MH@CMK`FncM?7S;P
z^GeF5?hVNpoV~q$Vxqv`V+j>lltU3Skzw9>tWR9D5v|Syd8{Q{73aoCrS}fBQ|#mM
zdBr<xvf?U2J7<ULe1QUTYkq)RY|X~Djb7IKKz8;XH=2BgsnHCZi8AK*_;wpl6?S`D
zkjvPPoLbmNB^=Jg#M{ZDzSIH+*2r8X^vW7pg*zEH4fn+Ew5+X?GcBv*0w)Bqon2fU
zlvIs4gNxqY4eCWb`EAuIkefq>wbN?Y&Jw}1XU_&HgiyR&Lvn(=bI9dvw}sLQVd;i1
zzW&n2;qsw9akUy1ku1z|T=#C=-ya_GeskIpa!=qubhoj0`(s<2xa>XO)jIol{qF2!
zGOX}WK!wn;J<l;IJC(S{#yQmQ^-ZO2QJLe@3==|WNl7zY2O_<^Qv?+Ny=t^6Lpxxq
z#~3IP+lsJI<<Pk%s4CmHAHMPC$JOf#g<YoNnHcU>m8CEBdoG#5i9V|<;Oi}Ck&d?`
zSbi}k>8q*SjEiIl0}Q{9L;^72GoF*}J>S80;+LQ!MVA^9t95Q$K2WqF5@8=B{oqwp
z3impd1yajm5Q$T~G+XEUc3<@%E0|LctV+p9f<D2?(9qDQ8K>&X8*j4@6({QAXJ=wa
z#@Wd}N3jbp<fh^h0^*jpi05#}`4~$)9-kUCoM1fPao*lItV&iNgWGADcqd}jS~#5I
zk<_FZ($avz#FMIKs&fVOcpH?B_p6AfBe@wWqFp#G0;|l4B$sPLZ9vb3%!<;Z!PN5s
ztxNrtQ$aheQj?2)N8Bd6XvJayyNGy`0ap?>iDkL4moqOYE45fIlzJ_#t#`N#Q&ZgR
zB!LuMPz^DyQNHjVQ)4iaTwpPxWEvJiw(M4(D>RyVzMW>L?&al$*rxG)Dxy*ISWFR%
z$o@P=G;UK-OJh1Eq0d~Hen&TCr~YAiOR1NY$#LRroQgZeMU#`0wuPRy8%^dKZvds5
z%W!;l;kyPSP8s~RbFFgV8UCSWCsx%waEct>qDsj03rx*wd51=kfLcxux%~W4)aPFF
zJ+g{=gH(xts*P|lpes6-ojMBCm^8(NGB%lSy?s8$L{H9S?!;6HJ8$Wg^U@*m;G^8U
zqvU5aTIR_d&zZ6WZFjfVH@0+}1VD9(VF*1e;x#PEuod8+W8w%Zgaw|R`8~c2lZzf*
zMa(x--7V4&kky7*z|<hX<I+;w9$(~nZ~x`@pI2)-mF?GddyBewUv9m=duP6Due@C@
zlMTH8Xq-XO=Qkh$#A3K33@f@*-_&G{YFf`kaZ#_oJ$dln`J0{R+Bm?Xk}-h!IptJ3
zoo>ToHhfq@ilA~W_LfUaYO&hs$8QiHeZ|jjsFxEKu+eDZiTce7pl)L^eG9MkXK%-Z
zV5%bJIOUCY<g$hLQKiOJYBuW#J<l)aRxd%7?tNd5)&_^_<fV9Lu4_t4ihYk$vBJWT
zPyx3b5`~X4Gk3VB2Dy<3vy!}PCprsaJ-e9x_|sIU6bzJq$!Qf*(2nW6ho|=R=DIo4
zZM?~k9g4O378?QzpG)poAIFhVy<3Ejcw#|agyca?$_-V4?TV>syl+;@3GVJ@73LCh
ztCvAYrC#WKL7F8w<lTDbHwY7Y(7KeYoV}J7W^iPnafg87x8!>;<(&ez$va#+s8Kvf
z?oB)k$q=XKxG<TMoq9C?BB6JFetv5}&t-eZLq=Cd8{a1Cs^PTU-rjqgW@@TQpF7DP
zU^A%<IQhG<3x;ee1Z~F|v$LsX_T8lCo0j3gnWWdzit%VK0g}d%5l3DbzQW$b|JOgQ
zLqu#r$l~k`K)`Jtx<LF!ZuL2WcFJ3br6RX`TCPV?%|S=u*ZLjwN6;l9*#IS621(4d
z4`nTmq^0FpXS>xW>LOV{D{#6WHa7f2xfOz-W^Sydz<;u<Hxci=j9z5ATVZ<^78XvC
zQng%b^<pTe_AGWX!tNUQ4!g8I{O+QMM=gqXZHBQnY%T-gL_q-l8Xz#pR{LSS&N^`u
znGftJZV&*A!}=8o!5q3iA!I<Y$bgX<@09o|O5VNe*~Kj;#4FGXY&0BAFB?$e9Dz_p
zvP^QwY)z>yvpgNiZPCiVV4&d~r{#(cIs*<$^q?hTg2am>Kxt1n*5?u|CA0t?;)ZZ#
z8;<^0(0WxgoyXwz6!qSzRc8WW9-gW{*xy<%=0vCdQjPMNqTb`C^Apda74_X-{rp)m
zXHioBDn?Y&G%#_(I+L6vPP4YAoJNe*=;aQJ$IGGlk8665s#g)r&CRXS{wPfol+l^W
z;5XYM2cw*q&Y?V<ij_hX8EWG|M1V-ZTkK+%-`yT#tfiV3;xkn)oPxxV8n#9HVv$ot
zD)wD#j<xUNP(12QA?(Z{_1@g-^JZJZzVnB%GuN$Lru$!*h{)&#jrfgQzW!QOi5Qqs
z-EseDCN%LE!jICOsQfvck)h#iY}yjW8B!>>a+RFtd<V2f2`KC#BF4tzd(}=;>|E2%
zcF6u`Nvo38Rwihla}GAosFoSM%nRF|Ki|()G&xLu;L~lH)8pfa9uG3xczlvAVU6x4
z9?Lvg^W<!mg30US-On$dKmGWJrqO-=wlq6biZZItXpYUOE07-mh(eOaRE0!r%xkq?
zY>qF#vufl1FL6Hgx=a*vTXa26d6zG`J^d6;Ej;wJL@bIb<*}Iqk|wP1iPO3=s*ca#
zn-E^EbA4@`ns2vP(a@hZA3s9gYxisyQaTWliqa_A1t4r}@;kIXXX3B;`+pvQjw(Y!
zdn(VX{an^)cA|hWJf2H!cqQ+gj0gmw*!sA^4rlRfyzkOXb$}$hN0<nuV4|SlMfqbp
zia%%dprWiWDR0F4nAc(qP^kxEa&=U0hfzh@hhuJI#-8&8k0q=!sR)&5Csz~UE6zY7
z6!g>}>**73q|DELE^DcnW+~zE^@zzzkC<v>`$w<X>rA*S<U0wGIwD`O@G4~7I;~a+
zC=Q(vPI~cxgR$~yJh;|XFgFHe(|5i&D!+}*gDee!zpFt_^7VV)KZ`6^iSK^$ggK$s
z#{__yVJ<WJnc>Uw`^~%%0Y&5rp|Q>qK5y=@+zY2d<|+cT)rbf}9SY!?Dz})FOTVsz
zVjnyU?7|R;m~Z3D=Q5Y-DwZr74B3zACc}DuSFUvEf8k%HrkOuq8z+2XdSPnxhyngn
z8Gk3r>AJ4aK_L-P?Q`$_jq-4KSf0@-hzS6~fZykK)63U#>L4m^t5M6eB2~fyS&-2E
zt9v0I4*jf__XdGbes6#~;F|;kUpKO)DXsXA1;2R#zCNC6Y#<T!N$5qdKSCFE*J0`!
zmL27;aH>=jU3NQrd*23w5tp&%OdJ_?oW<<C(tN0~Ayd9-bx;>#G3x5-#iPGO`P8Ww
zT}c~Jb6z}3xVa9!*NF#Coxi*TY3>ce7!n~#LU0Ov_tTVc?Z&P5AUh_5X1HbFxtIQo
z88N@2LO8HiCFF_zhvTq|S<8|mEmRfr+U@mAIbMWd`*J}Wby&n9Nsc@3o{6h2J|m?o
zD(@1Fr^Tb@rsLwk+B>@!mqtv}GGegAq6XfW6{#fqwe(q|zVNJ@TMe|3OoyF+8splS
zelYk-9w49j##88MWkRjsBl{#`K2!mdP&?^kPMJB`R=bvYkqIRe<>dyk!{|SI5ukej
zpo|dso!!>{;|s8Uo3<ZDdvd+JMo$J43p=s}x|SUlcPE;Hh_%uBtb5SqOtPkceK{Pn
zdl`Kv9ZTN74+=X%rFxznPpSswH5~3`TEx4(xwQ>ilL=+Izq`9T;9UObRuiaGevD@n
zd%6>0?%s00^`z#_?d{tB6CIHBdcuU0&;~Um8{o*W)H=Gn`qupb!$D1^ux^@)7Y@g$
zE`KaZPYR6yFBAp$04zoc1Jn6zwusurtm2iMD4~UTVw2+EbrDBK9Z(RkmW4q*UPZlk
zF+t2yRvet`l|Ja96S@f%CP+-ai4}})P|(?BuH<(Lp<@)5@gq5H9=*XV@4D}89OK~Z
zdmv!!LzfVB;Ev@cl!<v%D+>z?mY}`JZTM{hqQnA%QbVJc(f1Xj{_s_^*R4Xns>xa(
z?NtZt1bHdw6{jxicuFG5Fx=t#I!+kB^s!^9o|OsjR9?AY{DzWIp)jcQoVk$e@8{>`
zXVn8)1C{bQkjsq%yi)_;Uw`aefsMfmE&%4Z4JU#m;ZkEp`EnmEqsJ{~glg1e{kfF3
z{<`|Vxc}%jt}YAW&LUO@_EgX$-Z{xCY&NzSa3cTu`o}w#uk!RBAelX3Uvl4SGX|el
zD|f%2QS^Sk4X1Un`N4**`!5w#Bilg8(trx%Y^2iNFp&VjGpcKg(~+jh2>;{s4z;if
ziM;XT;HhFH6@9+<hg$<TjWkxR-8hlzK08>0RtL3sY$}*9MuJA~N6rEuG(=b|)(V>d
zIY5IG$_e(Jtx<J{vP&0Z{eN4rzoj!7tTq*2mOEA)ib^na+yEDvo1637&SM2lF*|YI
zbY8o<vZ9vDk#f-_VFZzm0P#?F2T;x-px1B9{!3@3%D4?n^?gg0)bhxbZOgH29~h*<
zf<)+3AR=^kccWeanM?rCy*-^)dZFo;WT4a#yxRz*`Bc;cSqM_x?7~0{U$6wM^BMBs
zkLxu?!$dZHPUZW1emN9X7${zgosK~Liow!!6+jzn;7$OjE=~4{y~0FnXH^_j)!`**
z8Yg)Ce3K75@u%%K_kV@16KXG+jsbpsq_*#EcHrPd!EaI+$O8DO?a}(s!N1e>B7wkw
zzOzJ=+zx~krdQIPbXUVM5rg&%RWjZ^)xZS|XrQuCxt5Fp08AzNPdk3-*zI-y($`=*
zpPV)0-<930dc5cT0)mLpDWQcz$G6wM@Uie4JhbE>9MH8!+E;o3d?34smllEG>ZY44
z4#t))B@#%&?pV)~euwSLl6>W9df8DPx>%^fq>1OU$HvENOZ!AqTm3uE+HWO|qy+55
zNv%EGRThtc*M=2(pN3i9yVq>;{>XZMdEj)+BJ`-GuR_s!kOw18m)>bq3^xQWyo-!=
z$(1P2@BGm0KLP}t44@82PVz3<UEt0*o`2D~n*w$!Kk@^xkwCT>imNRB1)>=M4X&`<
zW(uGRH-!`89woFg7`lV0L4^k1U#@hiq?-%Jy$^^(IWneNg%lE#8f^37tp1kH1)`EX
zh-w#fvbQWWid~>t(7AY$Y$+cW4CDjZv&+7SPB*Dm3g~f@j|lFBQmBn@e~hWQx9_|b
zNxW1x*KE-n10(<z*`=U)puNJDFiiLksBuPoD)jihd@7Kv`h6k3K%pdI76BC0A)iMV
zh2LuZe@}CxAN9N@D=?(fHQp~xGBmOkdJF^6TniTg8rVAwOa0zw_MB|h-&R*wS2q(-
zuP`n9SVDgNc~G#zpi^{(T7*C-VsBn<G9QHObu2hIxB)Ai=uNy2y=#=bW&<qvJ!aXk
zF6zScy&cLy(-}r|jUu$kUJbrunelGO9i-=FcQ{5FI?lwa8x40M*#qfZKt+5BxPR7-
z0sVE=tguglMI`a@{qO#SXc*}K2*j2opLSdKp}f+mT1b+y0FloWv8=2fL0u$fMDD5q
zNu4<9L28T#@;=LsvJ;m|5-)<R6>P&Dw{Ia$B0)aAx=k4Urt2z$F!u$HT<fKu=~D+h
z?5gw;S%dvFsw6lgdvqVPn!rTjfo=5yEz0)kxkHZ>yR<J2wM8qttLnJc-;d9<qhx`h
zsj2Eo{0}dFZ_ndz46HzxC<QVd*}6)1@>USM=RP$$O_-C>`SAns+teoU8&mM{2d#>-
z?5I4W24oT#8T(M5k$Ljs+{Y7#mfz0vQ07S-Ko9`Et{_u3ZGR%ae9fPjSfm{vx*x1y
z^6KXIdvZwqHx669aM~$N%9ZnbLwCkW1Wp;*9Z$1%0wvwry3G2>bbLsc|Ae>mxAXj`
z09h5vY(O%(qCQFI!U@*w-J-!dXR%Kzw9<!Tmd``x@55&l&=V1d0t_V+dA)3bGeZ>>
zQjxJ_&PsBJ3F;+smyX_8K8ITv5Yb#vA^`XZNGde4nvtNbibIi|l~o?EPyuQuY9NjQ
zC7xFy7Cg42?Ez*FYO)pVBcKj@MmMdNn!frOSypMOm;{sHdH)#uB5%jM;^9P0(rNL$
zu9d0iO8Ff0{F3iZGyRmSodevyShMC2-<;&C9=WTqY3ygk#SC5AF`M<d139faY612|
z#}4J|_U=9Ms=>qbhNEALorPu7Go9T94vwU~=HInmJ^FLkS4X~lBj<jvShzM4=TiA(
zi$+@Az~zmq!z>P+A8Im_5S+?QVeoUEEy>1$(F}v(d*>0`31q_DWVe3C;pkfE$pIca
zv=}TOetI3q>8Y4Sfcj~x*MI()|Ge9~R2`=U$kr36H^(CQ8kz4VFc3LB0nGVDFRyw?
ztI3;>@81UeVdG&25(5BZ%3f==(4_0s*Vh-%yjCowOAy*LU8*v5dHLr}V@#?uYvyLa
zAkc;NC<1uckq5X~GR8gm@?rm8KW21lu=NLpK|>_uGqSO~983)&@_5SnL9>Gx5_TXU
z8hIVTw`Zp1H{L2GxywU>K(0$t%X|J6($7kii}pDYNUWPTZ$jG7wxi_v1=H;6<3SC+
zp`g15H5^>1iQCj{^4<cf^+DZM>11KuDmmjP4O~BPkwP1Hgq#dmRndf#^`Y?N7qdx%
zY)tO<DLgRaOMMcN^Aw%W($UcwY&4T|WS4_-Jp#7Gi^yXN>=v}@!$2L?KD*e`3@i{>
z1>7JglLkW_d}?-}_AMW(^I&T5RL#$ysg(>Pl>@MfPvwfWgG2GoPVCF;Ki~TXs%<O=
z5%)+iL~;Z&KmnO4#g2fnIxw7fybtW4-Fz3Gx?zhJ2DvqrgD0N)O;rfSb7L_`-L$i_
zYcJtgI15fnTd^dsLY%d=HMn>Y?S|+ZB$dZvKt7n{@uz3&G)K^Lk=+yJc<4<D@D3%z
z24fFmXCX>Vk>vsjg%n-~q8oAfpbrh2g5MW)LsEeN_-mBO9fF49I`LGx7D)U~Bo(Up
zGC|ee+}L<ayJ7!!+${KVIrv^1%4sghCTh6Z7|BA6BCiZ6IxF&EyFFntVz>ST_?VAC
z9z;G0fY*M(Zx?0;Vln!?S6b|fG@Z+hYsR(XtiZmC{2#W@FP(*+jf>6#bj*X~Hu+zK
zZPc)~D9(G{hmvX7K2arv=9)ke5kPiI09(dLJt52&id^sHdBnjcL;HpJzBORK@VosC
z?C6-9ff!R3o7+c{h;U?}5)0ToXQ6xjt9M9Zp(%G~Tcu%g`ST{TZ?<c@*4{zD;wa>A
zz<pR@Cu4Yt%djG&x221n^ge+1_NSuxZg(nu{wQ#X2w>-R0}0!VsR83D;MVq_9wb{p
z;nW7jt_CnHLfCmx4}ihI;Fyy6ERctG*oMA%rc0G{nX;4I*_5Iwfe`U8-f0pb%v{J)
zs|-N&W<|m~%@2BNZ{q&T=g2P5z2nF>PC=RYx@%S-L$SA-2G36<1OEWhMUAX}&n;M&
z0LKdyD4c*VY=$Q^zL0|mlX6@@mwHb#&@!~2j|49`k6%<aq~2RToH$}d28+(z%kDt4
z<tmYGAF1U31Gz1DSOfUhmTW64pcui8!gql{v>jRK6VDgn$OsD?j6clKf>u0lJ!MA?
zN)gei@7mngQSE4ty3Z?zExhyd?uKY0V*tZ(4_CMWsm3iVqN~@WF+K{TAnyxh0DovX
z#!A`%3~mLt433Nhc}HObA~1WEB@h^@i(KVGDsA{!e>8B=`M?(Kv<;y4xcFTVy^|w7
zZ<s`^HF>aBjr!Kw%7oTL4Hk@n=m-Ko=Sr{yHHny9Gap}H?qO4s)rXYD6Z|S)ehXs&
z+yfU7yGC?$wByVi4Q$#F76YSK<*@e}8X7P)V0b|)<uG(Ufo9stz*gZ-J1=-m^%Uby
zb0|ijp-%uyfp`4KJNm`dwWvA7k()BiM-uUQHO-k8rBlwuKCWnk9|I~Wpf8kf7$bS9
zioLzf?AjotfO^E)=T(=_)~XecKgunc9}eB#RPq~EBu0aT1Rno-@(v3!Mm6QiNx}SN
z_vBN6Om$)*Ck><{S5ONtdU_%r6t-UqQu2`fT6oQEKQt``z5d;<Ko@idjif+p*4)u?
z4-PJyM)RY~e`5r6{Vdoq4C?Nx*FiThgGdPgX7CT1);c)o+b9u&gNSWh2ndwV3MQZo
zgs67M7!b^ApuJAQ7;wtCC=-_5|DUj&uArcRl1Lua3cEPSQ?}1JCGC)*H3}$z>z8%^
z{x(#^5!LcG*+4r@*fYXv+<-n7m=<mvHDm`!z}5<iijX(&Ep=Cj?15HEg;@a~I@bYM
zGAQ2u$4y0Zs7Ao0Lyg=#AmL;8zTO6Op0jw0BhKrtuHaD!^`Lge6T-MjjxoK!`fw8%
zAv+7)>T7M?Q+U@9wmp^G=0O2$3u}z9?Fk0ra$moGjj4&!EdOEP;+YnYu*Ix7+c0wq
z;-uTMCi9mp-CMyRg&QhN%k&xeo`%4!7cc9|@shIkWj{Um(AtSNDmnl#=LgQbAABLf
zRkha8lt*~FIuE!;%<QL6_kp)0ho|HDRl`3k1N@h>L6)@TF(N&@$Uaudyp{MfliBzK
zd)>no%RQx@OVM{@$${TdvctWXb8TZZ3<Cf(u#0)xq@XZSTe4$$zoaXoRR-`!sScMV
zbET@`Umq>{Kf}+zV>aopy+PY4_6p)rzzZ<4!hN~fY7lk>1F3B={o)Qg18GNi6X_xV
zah_Bu1TkU|3IB#g;CN_1BQ?B)vuyMuir|8vZPoGgd;wHYC^H5L(9lw<m-$g$zs-Rt
zct?;x$z%eZmitae+B(n~huWn-{AD>Fc^6(7#et;Erc(<FU~0;B^YK-@>WXbL4^@)t
z_`G`8jp3{lR(J;!x_pPj$7Q{NoZ!AB$Tr@bB>2dU;P10E-qac|jiHY^9(398>K+Zz
zQdg#r=<4Zt>-8~h<~b@B>L+5*E(_GQ#Rq>wv!n1nJ`wN{OT9;P1RIyIUcMEnRz)r0
z2MvZP!SD+l<LLJ*3HpdZ%;RrhL5&26?6KLZHQ4QKTD*Ol$V?jF8Ik1%DoW+{l<Fg7
zUYOO2U5+%nUQeu|JwAe1Sp1k~l9_|M`D5y!^C|r>AknD&a^P)UpzTb$l*ppp7hPL%
zw9upNQN0`8J8UR!E{BJV-C!*#u*IvXoqm~j^MFZLa(h?miJVh<Nt2=JPCBj2J(vvZ
zi{+^N-@UDE^@rL|=Q$*tziE)gX6xECr64^Dh>U>VFkl<pz>(5DxEz#o&q~&n;b0_Y
zrliOwx6M*lYC}0deUwz$-Q0|*lbrVR((C1^wd}R}SIpG?wYc4}OvwEUr~3YV1pj*&
zEvLBOG5!4eGRpiV>;11q=wX(f+=)csEWxx3rBJ!0h|p&jBh#n`440P6n_G5BzWkw$
zeDgzQ)6wzN!%wP-1g@@>NSV>qva+(B9+2B2>SHTQZv#;bd-^-}KH@RxEGS531i}h(
zEKT`5%}`LjV%j6A#m?R;t!agmm#-Z@_$Z8BdYG(i{VXD2JFTdQ+4gG}i{-@LBttv|
zaQ3dc{b}|-GNyiVa?F~&O@??7YRGK83x)CwyfhykfUL)y|I^XTucp6|D_FMT{_a%F
zzk?BS@!vkH{O_#x|7BLwZ6k)K76MLoAc=U3X_Cb>WJB0)e)H{%wJOQTr~&AcrYwi*
zc6xQ|_x+(@mOyP8cvcJ8h2VX11%<hIaX3jER6gL%imrW_5lJrT{N*gD^9j&G1I>VJ
z*3#AtY0OCKjCb^}L6RMKHy*a1mtwuSdw?K-tgtpTysVd>53~0b=)M4k`F&x+A!Kp{
z85X#hLTIf}PX|Ya{0m6bu!})=A&_a@KK>Qhi`$MR>8azSQvfMKAxyr@g-u_@krAVn
zbVUz6F`RW$J|Y016VNU;WDL;qW<}MY%Ie{KfE)DAFGf$2AzC{+xOjnM7e|Ki07Lk^
zUS-tR?Z81}$1PzL-S^rGK(M*-guJ6M4tNMidk3iCV@s+hdQn!7cMj*bzqVW7`n2AS
zGPwe)XvWBmsw{P>A!A54pZ6k~kNki_Q3vIVE&BrJ1G-Z-tZKIqNz>2<FHrCKbDRG|
z@}AAorvrw<;JUi)^F3@S*<i?lgG#EmE6pcK_EM#Q5Bj^S`mwY^Rp_oD>-%MEtRw&p
zOO~y!wOQK>SXXupOTA`c6QS<8S7~4S%5)cdufwL59$U+t6$BMDfM_s^Vpd@n)0oNV
zSf$mkZqz1qVU4vous4O*J2-yC%F1dZoUg~0^&&H(K*$z(R6z$wXQl1(qP3lNJXox}
zfuMBn9c2~XWQ~1zR#sM?^Q)X}l9?w<FG)hx^^ASyY0ci<vGNCe&QCY%ha`A=LQ-ve
zcRTTuLK&(P-iBf~<oT`Mb)ujgd?qbDd+p4u9>K!3owkRSuTLssA-B<O7oPqA(<qo9
z+$UraIrjN3I49y*rvBGEJUgL}Y~~Rd72CpD`@j{KrxK!RoB!<<sBJLfKmM~dxHBEu
zE?@QYz@WZC$?#eG`2&tQQH~|dy&Hf|{DGq{H3#Cf&b|DzrJnR|4+jWv1V-q+($c{e
zOq!U#hny(5e3*#-58?6=3z|42vEqCtY0Nxd36Pe^e}ciWz~bZG+_@ZA7O;pI#Nj~9
z%y##Q^^jW`XiYLkvwYzkvfm&M9hNkpu($mu=>dcbPUN&Vwdo^r2dTcjtRj%#M}QnT
zVqsC|%u_)Ar=P1Uou}I5ZG*w1fH#&s5K817YX4lrVe~7!480%zVE^pG?Wo5u4*T5J
z9SwpWHC;6t+IVERM#Md`r!KaniSOLrZa#d=Y-7#AwMwm@#Y>NQ{GemXi_+cuugbH&
zaGzc|hyC!sU!AMB!0iUc-9C(UtAFrC{EoND_-`*gr$7NajW_ug2UfYyBsFISQoxRo
zU`h&u%?_+|d@FHlc*zxXp9UCjpArNEyM{OV!vQ4$^5R2E+<^nGJQ+C>UvEAb1ST$P
z_NMea9Z0p!I=YKiYX~oaPe+C{AY)$W`-VGd0i9?JbSUl|ef8)L<Pt%y56sxa#IyF5
zCwvPpNH4)(cPm0RmpM~+2~<qf79w&aPYFDPK_f<e2^g>e<<02G@W!AMf2&bCLB^nw
zJFmzU;g~oOl_`)t(3hvN{c?N#U$;nz+!(b5_kbhnLq|}gfd6=@q#D{jL?qh6UeqX?
z{&fQE(u4&X(uWWghJ5bYfIsz@j7{!?i4>*Z_t#Z@BqII@7>*ji5r#M?<i65Pk=>O>
z^QVDZVB~(JaxHM*l40Py>cIMt4|xCyVg_@KW{5CgUcsh&ws*AwP@RP$F$CtyI$(gM
zD!ZknWhV^l6u_L%NcgIaM?j&nbpI&5F!{xLzhPL1V}MAJsRIO%im4g2@MwSu8uS}q
z?0ZioPJW+zIx{0<fJ(fXI*SMlFlE*Op%;&IA7t@{mqTsCn<$)E`<RA!ET4&|)o#e`
z1<rybMEL_yM)Q!sg7vu|-!D*hdQr9!TDEwbQZQ6Y3AdIk%erI(Uo;|625W>|Ehx;S
zpSHBf#hdJu(H-32^ibQLK=(tgV6f{BLVbSQ2R;+e=>>c5;vG0G7}Esl%5vZPolQVC
zULJVu3iFbkpoqXwWAd>?9jF{D{C>4df+r!@F)$y(eDKS-fdS{@g$uu#bP>fTz0Cu1
zk)|!YRP`{?IPoQZ(gQ@}x)GQMy`gMk2tQk-VMC!WxD5qZ16j3E2qTX~@kD;z_;~25
z>3H8YnyvT2@Mehf5%HLW>E~egS`siTj^_(DTqn)~RcZwH2YC~*R{5S+VdqW|vZ%Zx
z2U0qlnO!io;0B8YjBqIOwCL#RWu44<K<F!%YVY7Q*@;8SVg2yl{prT`0=pzk+R~t^
zZ^zk4SK(xl6<lS23DE82*J+dvf<%89Hty{ED9vH8OjCIeWm^BN9e95u#h~;ofR`W;
z?@>(o1^2+*02u=smpzkp4ytkxRAeqFSbgY+f=lmyMKo=Oc}xTHNTUhN*1gaQsVu%R
z2cjKjM2f1HX5%Z~A}22zuYu+7RhF8eKxa6Fb~Iv*!N6J%<`Y!y-QkWLin^N*SUqX?
z?kHvP^71;7!3NlDLhHbaKjJ6ZW8FmrFtkLzO)=63uDJVQ^~w{bA2~fV3l+}SBhx6{
zbVCU_A7}5&g+A;a0Q*1*rpDY<(3IB=TRgufgj<hSDmwGxM>N3;iUI@qvix?wavtY3
z^o&nTpbhY-ZQPLmeQq1NF$y>sy6lP=@NvE)4fV*if`&N&5B5AvkP+LpcgY6xQb*v^
zMNukir#;|zJb}P5^bG*N$r3ztAaqmU{o_hdq>90}<pW~n(37f-_U@*6=-ffsLzBMX
zb7D?*dlp!tX(!|mM`I2xpmhB<u?%iS=^btel6gV_FiZq8|1z3_0B?CGoUm{0?rawr
z3xNSAD})3Pu#?{T1W5B?G?)Puac9E1GqU(efe8#E;>b$=9ovB7X4lU|7`js&ZJ_5|
zuUU2raA+3ztzp2gXvdby&)+JSoyb0Xb8EtiRcl-T_8~)Id$9x*++*aeFg*epbgD#z
zrbQ9v0PDtcyy+`2`=VRlNDbZ?G&87I6Z``x58?q+@pka7y)CK`O_oi15!hV;k4X|S
zN?XXDHUdK|V?<M#Br>fq7_vn1^snn<F=)Pra8u56#ba8o33yqg);OeSnkxsnAbHG<
zRTg9bqglR?XuQe%6_vxd{+|rL&pA~x|8el-S|(UekcxvNgVH#m8P))B6;vPoezq5+
zfn#vqpa?PrPsAQ*Mv{yHWq|`r)!+7*#)fcsi*A2}Iso&nm%n9!+{7O(tGrunCv=DH
zfcJ{f2CQuiD+<;yPG`i5T|cWUq~8R6kW&X|lYmT^i*wngDTu?*B?&5qzxu4#(cwMp
z<9akS1~%HSfxl%7DxbS)KAmbv9+kB+p7~a4y*is$GXBUr##XxpM$1ZZZYu-T@snNE
zj!1C;$`MUcpphdJqrFdF<+tyI*tYO48Os8BiK8M}s7A3{3^J}SRHY%<=~DvE%F4Tk
zU}^Lqfq;6U1#*asGEAVM{Dt!Y{ck7kb&N_ygR&a}U&xgyi{<1p6h<w<?*loiYRcK?
z;QDa8C+%768D!2y!#_~7vB+Y?4C<31+@bk<0sKZ0$<>t1YN9`ALmKRXiemt-P@;>I
zOf66tDMsKf&<0%|Y}c|#EA8s;E)AniLP2q0cfcK`u;>U9lahS9E@r!eh{8a_gs>d|
zOM*BbvQVWmHM51u-&RPY!SE=EJCMKgs-5N2vpvV~lZnrR!R_V-eM<wHHf%hj`gOXy
z*BIU_0FvNF)1_&LD@})j`XknU<P@%c$BK1g1nD)Pz{=Z$_^b>zM5Mu^X{|MK%4O|O
zV~l4((gRBWEmYDZN@3R{_K%<9@~@0FS9sjzrBJ59Aax~J2$tShH1#HN=9S3My)2yY
z&PoB*H@3tUG#J)VKVC&Y2M_7LB;>F75|#iD9%Mk1cQD0Ju}d|+xeV<f)pr8mF&SfN
z*_+m5>ecluI!pwo42Is_IKJ?@I_T9EV7@I4odD|^I1Isah33?v!@R;RT`e5(pdMu%
zOCW=7O&cX;h%)u5m2@}wi#~|1{*!gWn*n7R)v5B~`5%`(S-sF0iG|OH`lJPZI4~q!
z34Ien)3w=L{{Ck*EvS)s>rM7Lmgpdxo-b6aiu+6w4D6+0q%H(Vp_p9L8(6r;29wWP
z+Jo183xYN1?awhaX#NlqZ!Wuvh(^MOP`slNVX)LJ$=0uFv@U!`^SA5~fr1hLUB=-d
zP>weRL^u^?QfN`1tJlVa&1D#aTyhbQXP3aJmI?C0Ap04h7*#Obc7l-J*BHDqJ!HQB
zC-q9m@rh6%{Y87a02(D?Lj{k0djLPBBKaHXYe?1ho01^EIhahYWH?J81=k^&8jSOX
za5J>`cKm4A5isLS>hl|Zfe#(ru2KU}y@SR?Kz?`T;6uPc>da=xso8)l=H{4ySWnHX
zhs!__wI4U(wN4cEg(-?sWt{L9_V_gLFDyYhx5yXR+%Gk{>KzU8-F{e^f!Ae9;oe>s
z@m^46P{DTat=DCnltUOp)Q3SnF1pQG6Ha`$!Kq^<f+Z@Z<!m-;*4ZXV<d@=&iDxax
zQPF^#%b<ZGWD8k@`L*e5P8Hx|M>fjYrkF4t1WC-y%n&+?J#M%g4R(P6r&P8f?ALXw
zgXjhd=GfWW6Y#DG>;Ofn1yd#Pfmmc1FaiYQr`!#9^WwSJ+bSxSDD_jHX6Dgq(x{(Q
zl$*BO!A`q~pF}b*vh5((<~%e@bDTa?kZh5}sqNkKJo)nLEl5gU`h)D5^)@+zm(rQ{
z6By`}5U~EQ@$`R7gYzj&+8Q7{0f~kS9c;+eYVn||DGtCAN<Cnr^!jDp3Yl=r%#)PU
zxisaKGU3r^AZY|L!7(!Or=VG3TEjkuG4~i+W}p&6M$J@e(KH$Yo+f*MfQbSpL-<Mn
z6KH7>CL*`F^ERqr%h+Nt`#{Z74uaaJ4LR8ub`okpD6io*4#ex~AP9Z}^WU>*9u+Q}
z7kM!K>PBSuV2Yd<ew9b#{5x@AAJc%LhXX0d5%@`41xbQ%4Q>|sl+a`qdGM~icMSlr
zSWK*{RRh9QiS-}Djqfy2Q}gK**+N6QTQSlS$_g6EgzYBeRFKfPm5$Cr0#-(*RSm?j
z^h*fYfwOrw*ID$4T?j1!8i+=B_>)zIL3d&j*c4B!bqbkzh59@;8;uyi1c(s7e-lh4
z>|O{pkqI}P1`iO4LM1?<Qm}*|@H~nX=UqJ_eqS1NIjT5>ZegbU>+1z@K4&cYH^A!s
zi0u4QUxf=ebl>z8`y#UtrUpP~(`UhOg#^fI_30z%pkSoYwk+^6i1ogJd(j>3iihsn
zgJYeHHZJUX3n^tUU0`&)55X^tLB0~{L?yZb4B3UJCyVa#0=XQi_i*nInwvHpD!mTf
zp=mV{Zl|FIesD|;c(%qI!WM_vTe%F$5~CQJ7kCXA6PQ>!+<{JnhD$#|BaItWu*NW#
z%9wsv#RV5GngmZ7fKECNnKPQqRqFd+Tt%qZ1qNMo?|lK{s5)wJcO3z6f^I*9CM<Di
zMB016o2;X&i-s$|hf^#7mJ&r(SRt^HyjNSK^YJo2`K<Y8Z^QX7+kOJlf=|k}S^L#r
RqWzCMbo|@AZ_fPqKLC)}yVd{z

literal 21942
zcmeHv2~?Bk)^3!FZ3X#T+ajP)j}htshzQ86rGgO=D+)5JOfp8sFoX3}Y8B9+B4bbl
zL<}eqA_NE)6&ZsJVJ0d=n8O@G2)X+WcCCB<bI&^G|Ig{Y_h0L{Y=b2ElJ9%>yZ5u7
z=h@%Y6UR*?KbQR+gTYARj{I;EgIO1h!HAvzR2+WOedpd3Jcyq+HTeM^;SbM<76lKV
zT|8p#kHKt>LI16ZADni<V7|rRemHb0ICZ=?>J~FFO(?9^5EJYFZtp$c6FC0h&R?Rv
zaI+6nCSUBM+Kdgb_t=gR<+uBr8y{$vYVnec3VO7|uFKv`Hz}MsZxVUD#Bybq#^Iy;
z=9<jCCBHd*>g-w9yJJf$FA}Y9uHpGgN*BBj(q-$!weus&3)q9c`AH>=FbB?2vSr>n
z^fjYD?AHiIKVUFHv6UOp<B9JsNu$S%6Khq`<H38MIH1Sq?>{R;kC>mo3|@mCKi@I6
z7CnA-^quHf-`)Cq2at51!(@$&jNtHid}cL#ww4w*V%-1JvuF2fXk?wt#ZEhH*n6U^
z{kO^7Q@dm|z0Sak4jq2ii<8szI$~vIh2HawO64BzlXeKc_o4+OaXiyFw)V!hl#24O
z=~vPgd2O<KUsS$RKmYO<iLE;OafLw>HaDe%h?N`W-L9gA`d6IAKYbbg=>wqaIN#je
zol>n3r6;97cjC?-Yoei$$B^0Qe8fSx)Xsk1A6GYBtw6eS=Z<mwXXwOFXx+9UTYAp@
z$NW@VL8JzuH?UokN-ZiH^mOFgI0#0qILz6{))Ym1dwW`-M2B<{m6}shqK%swr!X{w
zWusrXw?6z4j^D!JSdndRADZ!&uXJ#E`O6m(N>XHpa-H(>a>?{hYft8$+7~)EY#hJl
za&3n8Wp2jhjkVQ=E7Ql4_wQW4HQ>aRja!rZ`udi+Q9{BBk0jKtyQ5skW0Ocxd}@?w
z)=Brd=jhvFXx>e!FKGJkZL}wzwVWhd&Nkp9)nnvChgB5nWXhg+roPy)ck1{5(W+(2
zPDJrv9%f#Vlw(Q<wv%n!-?@tpH0nh9v`k-LKV)enCjs04I@WV)zvzj1wF}I56Xs;g
zI^i-y==|cRbt4lK4eJdTUyM^(k+Jfk&5)rY-YZ)cwcM}ZKUu=gw#>`2AuHlG>d!T$
zh72Vo>4nT}v_Cu1%ZVgt`t)>giWw1;{@N>x{bM@n;~SEbSGZE*no&M$PdN5@t`T?0
zIyu5GX%15!Pfm<vtR1g76e7;4lP+;A@pDNJ{&4l!-M#nlYReNLD?Bz;CO9lKwCsx)
zJ~P^%?42rWFD&R>d`X;J_V_Wg8uO5LbSzRPvR3Fmw>eP#O{4ms%YVz*P!^*Q8SF!w
zD8{CI&mjqy*>?U78YS<q$j!8nR`xqWT(tD`l=V7Y->h~%<q~1I>0aOUv(jaA;~^v?
zj968eGQTjrTA^V{$mhh$i)BnEcS+Sh;ifZ()kfjWCz>3s#B_a{l;1XyY{+*yDQ<3^
zg)T`No=hL*r%zlPk^=$*+kAC8w9pO}_ziZtk-XtjUv7E$W9B~RH`y#!flblT0T<HA
zlK$*dKIIi}oiMGeH&$6ow_nU|cziUA_%_o-D^z0hsfDZb-n>)0v<Gil5V6<3;Zc;)
zf}OqCp|lo%emYF_kEu@h2ibDWHj%504>7%*BT7jR;}3liY*pZp#tCQZ^5Cp*O-@c$
z@Zn0%KoF`)+g&^qDde-<7N_28Pd@LLJ+KoU?4UpbZKx*LP(N>wc76Zb&)q#aWU_Li
zeUP<{tu6PRGkO(9%<aS{ePU92d#xNJ0_DS}Ug#}PRq?76R&LCXwX;#6%dr+;Z}G2J
z(;j`8xs<<461{8hW{KnvAyY5bvs*398*+2fyM}*6zsD^6a_FhJD8p7(9Qj8x=s%r0
z{(XRdK^^<|Mf{&|5nFE<OPxr5Uljv;nf%u2pfAeDTwFnDTb}HJ&nn-|H*>od78b;h
zuMKl(kL0^VWX51NW6aFVWHf$>yz;2cBUXNm_|{7VrTK*gS125i6Mt0?Uz|F%>oyh#
zXasW3=2TI=38B$w0?aFeSKQ&sv#0ag#CsVh;4{(tzeew$o0BNjvh3JoV`J0Y)02v|
zrux{gzI)@=F6m&XR!UQa=D7icoaW(e81aK-OSw~qMyGdueMx$>UiP0wUH^{O{|V9h
zcfs?&m+=o+MvVt=#aioT8HOYig^2y}dNW7lqn4*11D@S(5?BB7>L&kYoYEjbPybAl
zPf*o<m<I^MF?{+}_*|w!@92tKdWfPSuf}{PfwYXZ$T{ASs_hSZyeIlI5g-}G17-kd
z;}oZ@$O&zy%`COk4WMT^YGGkfN~2LOyuEMd`|9hE;d?PN<(vrBmK<~ZM+6+G_8s$`
z{<~<g=C^Ne=33;q&JDkH_whNNb+YEkxhlVUwd#Rck}#a;40r{QtM}A1^!+gNYTvEp
z>;`1&M|@zJ=hBd@A(<}fd@>9cu2$NTE%^rW&{>HotpX+zfDq2^kPlath*&_^7Xa@#
z`U?4zG}R&-GRqqwO5<4B)9t*ojwf<YEgAT@ySu-`VlKDWu{^2s0tpG@qHRX!)ilrU
zeROKq<x#hXiIMcRt<@P)Wxc(<B_Dp>O~eWp<Au+S;*<2lf>uGYsY(g9CEF~oJN${N
ztlIe>GEFd>=QbXA7i}Dm32VJ_uBy3Hlm@d-%0L?At=r$q%Gg-e=An^j=ZCWdbVpwq
zqc^7X&1D<Me^P01p`Su^=^rKS50!{6&3kse;YpQ_tiCv=(!je(ybqx2?)>L}x+bmK
zs8+otLA~*SQ;dRc#L}EHb0Q-5vXsGrvG#(3_Pb9Qn+?K)S)>n(Th5bO=Fc}%9=)}|
zwAw3IEhHC=$%Tc=>aVSge%R&_))3}hKK^DVsWMLP)+MTC-r%FW{95y<rIur9IvNx=
zMqjRmL!&l3)!WCG;%deu+gin|og+0jHxq}3hOpDxFAZ|Ca+HkZ^gpS@!0|?UOe^xO
zN@-4~P2eK7d7z7UH0w`O-=}G4ghq#UZy|6>*y&}02|NSER_p#@2Sv2dmG3?;Q;nrr
zWFM<x8*oc1)Wt<BDxPwP@`Dj{HMgxClEOIUS_z6~wd<tqzMT{`>zBJS4qWDD`4T?7
zyjn8#+lE*6=vZf)<i2v7G7!wQlyLjP60q_53ug@G?n!z3vkIaFV=`JkJ?XL{ID58I
z;@3+4$s!wNX!yE&H==g~#Qn803_^IQxZB5bZZrBFEM&%+%OWD-tRwcnN)-J6n(Hcq
zmgjN|%}h<}HnO_9yXExv@o#L4l^31xf-77UXf$=pgpK1HXwamhU!O1$ZRt<PjaFHd
zjyR`yea#{pZyJ@xsnEsERB+2xXW0z=c;&do$CpT&CaN@CRZ72`8E>E?oK_It%vP+4
z)vp$Mqa!}KwgTT_P<7>l>dY0bvTe{@$EybnHyOvjG%yzR5z+QjJ^qYAZ+w`oaom=q
z^$Ov8MQG$|L=!+FbPP-uf*^g<afAnXdAm*T?5Tk!O;-O){zvX7=z9Wzuri}6+-GjU
zbCwSqe|mkZZt>ggPo*}AxSzA@0TT^HaKaqFQMS2-T21W_zidYbIN&K->&lG~*}Ryj
z#h4!7>a8V$g>Lo0(N@^5tDMsKFL7~kc2R<PUVD_Fy^LGV@t!+y<A>F6ZxzsX+G=p7
zPL+{ZF_#rS?xf&3cc95+^~s6ngLiEAc`_ekYYt1>-vWMPq7SWvo*Ms4X=^b!wdjdO
z26Xfl@nK<ME#2L;UIDa!;-T2#eu=-}v7T&gw<p+p6m@N6G4t)ahi`VqeER<kYF*jC
z%EEQnws{m8$3HRMb^B<h$yuo{M3*~50XEyn__){HW?gb_?oMxS?^yZE`X8^?#2FS%
zjp1{KHLMo&=6SIgB&x8xt5jU~^tIEBfjU!pkGahS4|7k}Oej?pymfjKQ}RX@g~7j&
z+xyEc8;z~$De-TCoR_5THrccS$=j(q4mOVIH>wV0wu}fUt65oDJL(cuS>%3+2ZMEq
zZXHj~L2;?MtL7xDfBef;5^_;!Mlyg+rEmS@?4i=qQU_n*t83D3uYUbnM%&L>(L5cF
z)!WjNke;62tMmFGq)$W_HTU+GTQ%%j%{n-uZ~tqTnSq*I%e<1=MqMaxA+tj}a5_3V
zkW8Oj^mAbg_7GSRKxJ5Fnsom5Zlyq!*2ZsX`wwApDzx#!iAidtV973Qq6nv%#?!rv
z2(KJcWT<QX-J9_d<4&>iZW~r3yNP|v;y8|ojt2yhTX6|%E1~BmHl$j&@8(md>V;kw
zd|O>knYvqApk>^F55GJE3hqhO#=7e=>NCTc@so3UaIKV;mElr!4jCY-0lEgiF*0?5
zCU{ycU#Da+eYI>du)x&Q)3a~p4t3!EHI-U_hCbCueObT~MnFSy2jy&FP;~{e;y`_(
zg`Vrg(*-j(<HNByzy4S)AAfp@KU<N<QjgS1fz!@5OS!Xd!#4w3be@@xuI?;Q6@$s1
z`85MI34D2~x`TT|H;{I7b8`SGynUmfx&T$U&-cU2dXk}G)MAxF;kl|S%Ybbff0lN*
z3+L(j_Wt4Sh)IQ&sTkf0mrj!NdA<#zR#%^Ya5aNOE2sK5YU4By_avIMV67{{Ln2pZ
zNjVVQN@)Sj-*h|hyV{3d%i-&P{d#vZTr!WMWZ-<aQG5JMySlpexizNlu`TwBFN?#6
z_sf-xKFZq{xxA=1RVijokBngHZTM!-5lCTihAWGY?P<lV>H=G;3i>wc-d)d7zUker
z&e^jXV;#TUG?7n&PEZf(U&!)wHMJ|UN>U4pL#qqzBmU_Gq|=5N!{zs|NQy>RByfPi
ze)(ei44j!E@P$%DEPUSPsrDy96J4oclO;0xp#dl{X2$94s)~`~q_FGN8THG&*_O`E
zBu*rkCXnynL|Xg-ut6eXs>BR9`KzRQv@$T^gJrXgro`|uTUOV30Bm(xi4MtFZT>ig
zF!~%IrdgqT=jBU5kiCG6%+Ac*4#{0GIr~B?axc!W+nefLG_k_xFaq1{6M3_2L`=yx
zSrcMb1HsE>R;P@$JfuZEBMhn`?yv^#5wX8+%@1$_gP@V-EMC2vK>{v8(M2fWa%e}o
zhBUlLKu)e93E#&k94Dqmt?(ik!kO-&YgNkjr2*Hfg8~Bw@hd}k6c4GsuVusx#wIs6
z4~x)9bU9;N%ogJIc)fiHTmy%izTD<0I87WF%_}%g3<wB#a5C3x{`obP((hn>-v`C_
zc6ZxyLmYizi{pr}>K;X<7PH~g*Bt9>Z||O^kOX_o%)+?Zg<;$PQ3k83Pf}OH`3>H-
zQtS+H9UIyqmu*g}Xj?(NG73gmK=x1yz7gKdS9xZc*9OT!|6BhB>FeFy-3izY(kjQu
zmfe#RHA<wO4^Ig_z9vNH<;7{+w0Yfgzx^3oGuoENpR_G>u8A(o-@0uzr3iF*0|^OU
zHtJkpt{L%>bD48c4uN!ZdwpGo(zXJdpFkYQa};<OOkI*1fE5^}HQ5mLxIO;5`c<Zk
zFZ-VRI??&dqgM2;(F$~NaDMy=Dre5$huP9XX`9G$6T?>&++4*28IG{P+7O!wSgqaw
z3zUzrDa@h?Mpuz%0@f&I;{<^}q<)ED4D_<D=fa@ppkmDi)v_D-D1NtXuOS3Hwgv?Q
zOE5{$olm7NzEUj?DdwOgfkkzHX)+8#t(2mg=d=2OXHyKIqfx{e2u94=ePJ9ke}8{R
zy@(QMLKJbXjPx|em6^l{H(I_;(JnSADpG~MJY%1H4$d8?X}>rD9OuzOckkXErgsJ&
zX2y+j_jLW3Y3wrDQ-UL+xPpGg8h|ltK~he007MD~R0@9-Y*Twu+6N}^g7?P%Au4;(
z-pTu1jvB|yr%5}8tKs}0pSnVk5KM-l<_Ad}usG^2wYNY=$~l=kP$?!=kM;_r_laf+
zb+^X)j;Br(=NjUcppJ8p521T%e1J=6W-{-XM~qqs3?^Ztp-fij(_5Mv)a5P%%?K1;
z_zP{2IwTYnTWM)&wEgXU2UjWD;#^2kTeohF5E}Ro)q79c=AN4AR}dbU9crli^Jkly
zTU&1#ZPdo1;($aMN~4ZvqU!~3?}kE`x|vQ!q-H@#gC`<^c3NZ)An8Ru_}!(l_mcRI
zAw4TQ-@|v5ZAH{Nz;pC<*R0=igGv`nj0_LIF_O~1wdweQbBRM;a;H3?J$q|(%NhE+
zk<n2o?<Z0rgTaMR!lg$nbc&mcg;~~haojGj&7l`M*xPpHx*0pK5zsk~Si4m#%WrHR
zar`UB6}#FBmcuf09;W=xz+d0W1SY((v9X8l7gA9+aL+h?_SfWHw|gQ#@X`4d7Z)4H
zSIK|)OE~r4kOfEOgMm03i#UQdGG^&VZe`fJOY4XHNqoEX$fc1`1rbJxPJ9^luJ_3~
zBbAZ?;+D|id)n{+yvdJK&ds(VGx@6`&q7F`R2jv!;V1wM;y^xavKEP7YEG}6`^rK>
zKp7kph_VHS{}@T1ZTt-API(2wr2;!><x%%t+z|u<k=w#}r;K4_csVI3{tUz@AP%^C
zU*(jS>o+ts;D~Odh~gJ5mFaDT3w)U_UINHmCkRE`oLYE~W@Yt_i4Xj$&2oD}BalQx
zzgci}ez&l1c;{&L$y{gX-ecvRVgNU1Qz+_kp<%Oj+$+ZM6r+tk-lo6?Kvk2~|2*u?
zjY|hEz*!sz^&{1<cBe?hK&2U)%%g5@Zu#X4T?mJuZ&|TCsLBS`0MC-4qbvA?D%01K
zdf9fJ#lrDG$NTRGU&qQNUQ?|&pjtNdJ;)t#TL8%8h*_qILr9Bwb91}@i*?e@yqQ5U
zeWYt+Dl_(dYr4NoBqf#%C42gfWF>;IqY=S1PtjC%T>MSiZ|<!LSFn@Y=h|Buh*$>{
zcmgiV(9A3)GRIlpXF;PuwTGCkLC}P5d`T|!V(9De{I?cZoQL5eeWZLOS#-&6|Crel
z{_360Pp%*!#>$_I@pibsttb{pzP>}Y`5AqO?1Gx)XJskmGf)4dlpcKkj*5NhE5Z6L
z7Y`2ACnZoA24MyK2Q0{;S0rR^+*ZbHeh|9C4(ohAD%3z6fTwKGg)8MNyJO|I;|ky3
z;XIh7S%I(wPk0#a&0HA-N%Ti8Xx45Y&3fxJ{-og&wQwcTJu>J}W_9Npv(5vPq;-7}
z_42B>;Wemg<(G~=>bY1YY3rrC(BUMiLC}EIxEb<0!vVA~=*xBVf$Qpx9W72iEr7oO
zue1!SWgGwsX<YX*VScm?D42!E+vGIId8*GbVF&SeP9NUEIpKFNz-(ZIV9D4Vv-jIa
zZKHj&4z}xWAKd{g5p3(d567R9v`A2N!?`q8!z*dW)US72&h;9C$SSIeCI&M%ughxe
z0v3ZYnCO_U8aaIpkgoP@y}CbAody!j`z$hjtjLy>AH>FgN?dsw&DaL36w7y#iC#mc
zhT9jM%G=2f-y5Aqp_a8Xjc{(9?{|vN{mBz>sFcCt+2i{2tsv>KK?k0^MnlVis`z8O
zl6~w{|Klt?9&#m$qXDKZenPhq^=y~6Y(n9baYW2dob%{(o*#(KgQS%aQlUrNqY8eE
zltMc6f2n~?YZ=|3@u2wWbZ%J=ryr3`-@X>nY~R`RigEZX;Yv?Xx3_H%mr1SAfFj`A
zH=E9N2H{dSAT@Ck&S^|%yC`tap5RvUFDoo(aQdO)7_uNOokHN+UWbXq=g?S@L1FK3
ztNv7+oR$jG0TI2CMJ9Vw<20gHmUYZlU$F?USXrRb0}qRQ9MSq2xqa)uB8afe!u8Vi
zq7D+XAn|{;NPLUiN0{t+_UxH6#HsGHs3MyNs6eO-f~JMT^d|*0<4}t;GgwC$J1~!s
zcy?Bn3ylgb`jfX#pNrbhN=0A{(4TMioVk&opKsL@HT~h0_0#i*Q8QnYpaciv0us;3
zaihllXb$}%KHIw&>Op4pSF2^y4DEY(VU7)Xs8N>_{z|}ZNJ+#(4LM@b^6pqH&<!Aa
zk8y)wGi!zFeeARxp`PK0c0rvk-Mx6h(tOE6muG^P&Me_cS9jHXpZ->Kp`VzfK~lmI
z5kbh%o2}R6()#0ciC9i>weG&4@eYyJ>c>ta3_Yea)_!5K<t9`MRDP4xoQ&lo=H8~I
z!?#)>htQP&3$0Dd?6~(wEX0W9Pb9{N4{Qghaly-Ws4*>NAd0cr>&1L*ouuh)gDx6^
zx6m!uTbS$L_RKF)Oi(hP4C`qO&YBMaPJnN}2}nB^^!fw7=Z6?15&(OtPAD*uf-y(-
zZyQuaumPCav~)N8pH>l{?EwgOqSvp_1@=e0AYt-&jHvYN?CexnQCqLD2~WoqIeeMg
zZp+6<VCA3<1uXk>k6)d#yQgOz&~}AhorU@{Iu+Bgc$CR&7pMDY0j@a1b&i<bbLPpn
zP>+yrfC3$ax4aXW5kk7V`|dEA%q@|N?|H)}hRHw|g%v!nwE6grRQ(5Tnq)&^GB*?i
zAkvy#%z_++Bg&||I)lCq$qL}+?0c!G15U56*WB1<gsd50j42ZeI1H)Csms`u`y&T!
zX+hqN`rMxD^7=a0zEQ6I(PZmwfXv(me}uMHmU-wx66pM1Z+SMfNi`_Fcy&D4hIpZT
z`pQz-m_4WVGo{oU0OlkX$AWjPw!u$+Mi+<B7lI?=BgSlPz4F>TO6HnP6R=Q17mjZw
zjJD?Dh^Qe8yz9rGEFH@~mDh&4fuf=!R)hicREjv{WFQyEZqeSyT4GXX=330%K!t<c
zW?dc{h(23F!9Wi|?Ue<*FzBFTRoq9|NcM7w;if<od^5&Uu`a~!w#u&uFg^+%lw4Ld
z)RO%qXma+sH$NDs3s)kfanMSe67{BEZW1#PR!JGAVzq_Kv;1`7Ahkg{#<nzI#4_Fx
z5WoLx8MlFVm!*ya9tMmEy!dT8pGL1k*92SBpv6jsgvAwGu_<09t1!iWZ??q@yxAUq
z40=(NH7oc96-%R7oQa9auG_Vi@wDOl*Y-i1VHYxZ+q%#h2Mu96;pQ{wwXq|7_CXui
z^u!0SU-X4_c$y9aQQoQHGc~aPICOf&We#?A?+&*^h!L??4k0c?AoTL^HCIMja_~h$
z0G)pCf0lNIcqriwrBM6^Yb!R8A!P&*2vToS1?!LiimmzW=M7+;Dh>;qsZk;<X|ooJ
zsXICYUX&PrY)T`&4NT{u|2>xub!Zua@hBL$`gn~5=#bTHC!)B$1SMR>Qd_~0n8M=0
zjXJ{_@F_cL5G&E5UN*PqeXN|;0*z4+IiE+K)SY>=Jpl_A8~$-ac3d#zpo9l3;l{Av
znToukA`Jwei38awKD921_II3HN{a>75U50y`UO6$aK)*{ho^QW?LGHBaizUB0#0#e
z0v{EY$Ik&G16u;|G(%$vd~!&HFy!}OLnVnM4gkH9KlYSx=VK?_q6ESXwkF3=Fwz4=
zIl%47YdNY~z*Ayt#ycsqb&f0hpa$Yl(L!Bs$?{Ac!Tk#CFKlPPdumR4=&qXVqQFFe
z`OxTlT)S53t?AMFus%&!3x|ShkKOaVfD=Z#D}Wr)gUy|!OPI7A8#aK_ENZf$L3%);
zP&g}rW6VL+qXONMfJOYk>}#zG-$VzC@>NE%QqwGH-;PX^_(ni;cd@9ptHUOY<mwOI
zb@Bs-)des{67)*RDJd4Yr~D9#ZZ=hIC<~bla=!uv(RIAzDT=R+y5mnkzJ@jd_4_C{
z<rvK8Mk>HYWuuIUSmEQk6VJdQ^e2EI@E2N71T~?aQ4YT}(|pyxyP&L)vzVel5w7q>
zmX>4<PlO8Duv%SN?H1-A69DMwW>9g4`CRyXAAc5f7Yf3~>Le|^gW|EfHy}N1f!%@H
zTGXK-EI`|D1RD`GK#a%*3baWM2_TppgEMyoGH3?U<$xqUxJr|aWF?eP>(ljhHz^%I
z2HO#-M@S+uhn)o;v3sc(fBVc<&j-Sj2Z51Nr%KnWmJjnXzP|Y;9J374aJ`IM>P_Hk
zlmNvs3LzRNn#Xc;P<Nma`U~-+6AnrKEq#6INVus1+}Zuk{Vc=7nlF%;SjLHbSY0=s
zj)b>`AgKA*zNRSr+*g6HAghkJr&XcANCN{@yX2V7>s$w<;rjh9{m-M0{|^5p!hTT~
zmGJ+DxAHIf*S|ghazmgBjtQf5J<-Z0)Q<xa7p!jZvth|yCp|;FGjpONSC7*a59@U_
zs~IR|o2%-SvDNB3Y(lm)MJ7U^p<gC-2Cgo(mr3BXU?h#;n^_&~0`7?=vao%4XGc}C
ztiI?2F|<`#0`vC`qJQrs{)R|?0}ETr2YAwbfMK?F(QU{m;1SaL@ah_2ti)Vr<N-ou
zP`GJ<sh6gZ7YurMls};Dni<lfYoq372C%Yb=>Ctap!3okSXD=Aep<Joxvg#fS3VHe
z2cW>efxbySWM-f@bP`x+;6%rnYNHS~gS#DhM@6({VVz1{bCxMuYJkgsLTriu;`^8!
zXm;<ZuY$aTMCYF8zDT77tbk|;KzY!r;)sBY_iIR2v<BDgNF1OD9m5C;u7URKsO3P{
zvzs>`{1n$<dxPBi%L%KVH?*QBW!B1%RSJ%pQT(WZb*HfWB%eFk=i5E9pXS{uKIidk
z_HA6!;Akkt>;6M&*_|HOzFTv@r+%-0WYk5qs}h@as*)J*r=P3jr}|g0Q@JCxQaS8!
z2AhAo-~n(PhD&ebXCR4W0l|pQ8g_)=Z=Wf(hW_voFJ1$Lsf24Z6fR53Q^R>P;gD#}
z3zzCyp^%;!BKC_o@YY130YQpGm&L)~`@oSNiMY}1<7vr|0FoPbuA-|nWT?c}pv+eW
zn&g=N<U%*zoOm6edbbzFj6DI=aS7nenG!~X3Zk_Tqy}DHt$HiL4sG|?^c?t_ka6TB
zauXdRLz0t|{bn1q2q8is*N9Qe)lv1ZYAy6Ap$M;lH8Bm@Wyc~Kp+;%p{JPw8TmZE8
z4VP$v=LSXX@cy%v(cz;Oq@%>;#cD$bjxRj#K%}Qm(_Saimj}VCxedwvo6PlYy42lq
zfyF~C^bG1`W_{)Q=NH)Cc)Yo-tu3^4HdL#;ws2mZW8?7KO#e=o#KHKeWhcwWXKsRv
zl8unEX17-YGyxaW*ki!-oVK#RjYV)!E40rHw@N%QXOOCevoz^xH*Uf5=t4dni45)+
zF1$Ike(N)4#CGHBZ{V=~h?0lvg%~5^4%2<0bfeG*{R8rFqhg2x646ykhwqOA=t62Q
z1=g-H1T6`mO=Nuy;SDCXhxQ-}5n4?w4z(SCHw;a-`2HZiam(F_;%=4dE&j(`8&gYg
zeN|(t8dY@BILH$+Isq5bA*<>^qdeBL$~}Srm<S29Xp-NYSaA!<C7m95<mMc65|knd
zdA$Ru??ddr5)QsaS3l=H^s%BoQbJC14{AXdfP{paMQHSg2pmA$3$baL3W5vdY6F03
zI3oH^2z;sg^gQngpKSm<Wi^9DP@tI`LBG5S#N+%TKUn``b-Huq$`!=;;fPT}Zj|F#
z1u)GBsKUROa-zB(vU@!X%86LSm6o2Xm85}g)B-jPI7(KOaK&C;9k_06jWV^TkU0TN
zvuWYdu|eSGwkeUq{k~DLy9?X64B!H<k6V%GJpc1>BrN{IJ6dqW$Ip+`;7>ucv+O;E
z-9U!AAixhKY%)+*0lW_6MafC^I|__y!X>fwK@M0lXl1yW#r}Bi;<A+9)Is6^z+q0f
zpnb*K-}gDZK7d@kFww15Gg=-YWw<<rswO_9&K58~G9I9UiZE>g79BR8o+$Zo(E_~y
zWOsrj-Q3lcOq(ptn_WP)QiNY%bpquH3!QFm)ZU=FTRSa~>{>QcyE_dKGsHHrQ8<o6
zy=39iPwt)$!lEdq7UPbsPbZJzxcoty7QSL0Ig@}R!tx#f2tIz5I%W0oV^z%3^|W#O
zfV#!j05Pvi^;&$XWbm|c8uE9IwOiV4h?ky#7Bi&!v43Vljs%h+%(*fDr|G79MhRG?
z+`_&R7b3~VQ$GmsZJKbom|9M*Yqy(S#uY+LPX^23e_4fk0V4>t7ltx=ka!4J)g6y#
zgt7R2UPWz|V_SsKD=6X+g49JZenm>5FXUbkmIwBlvbXAGOMBj*&a(^*sfX5}tkD}d
zG!r5sJ9>xPx9mN85UJ=`UR_dUK@k9%qPT+JGssEdiohQ>g(40v11VrqHw+j?LdY^)
z;M4)tu#O65vic=0VC`$5)4Ai^Tke<8c5faT&~>QhkX~?p^KDjaDUjEU>61XJCu0F|
zSF{WY+8x5YiEZ0Ta&z4?Np#vrj2Ig6euLu?BI*xBnCJED*NwqTHoz5H5!-y{xO8Cz
zNS+{7NvqV4<dD)gs62ls*>Dli;|}YH_f({bT9;EN5giU$p&;;!=Ndq-5h3zbar*%1
z+rh|yb!mV*TY$;|gv=fE6!e%3op>Rv-pzYPF+)pZ1q>_tQd?tnJ`hChcK&AUzA`-4
zhM=^XR?ie5aS%xS5TF)`Sf$j9-!FlCdhls~bv&bjKbdm)+BYt!c6)gpg9`)El!Ue=
zY8_ck5{P^%?sQG5PuAG2JNeuRnlM>8Id%AQkm4S5zrT=^7Gxu0MZx@1gP0$bURHsu
zfX`(BF`Nul3;EW^^on7+0U8%aaVhy!BqFB8djsJP1uG2;<{f_o3Cr(sTkSt;BIUBO
zvIx~TlFXq~oR>$$KQxuQ5*<R_fuo}C-@o4(9vUDCrofIK1QxqTF8Lm03&^|2D`svN
zILB-aI^yKy^g3>93YvDPE9ds5fHFcRq(iRVi$Wi*GPvM#o<3E(EG}6KnKTJf&LEQW
zSV94dz+0sAQs@YYrr;xIQ_|vl;iG4h7~zWGJ8A?(JAI|kobU*GX%BMDcQpV)P|If%
zzvdN6%y6v|u&Nb{=VNm&ndOZPlCn94j_p8<`dCd+%<hyAKC_9xiOua<NjT+Gk<E0%
z1kjcHh;jY}kLSPYMI1J)TakQ!0TU20)VwUGA$@oH+*px3dtPJz0}h>qvMQ`ZYpAT|
z7jCPi{U09=`bV+fLxZAK!%Zlq_6;GMfpcpMy-xo=iz#+O>?0sO=<>#vxUJtqUp!#7
zdPb|j@;m^;0n@2c{3F8s86n(P#p~yMR0>4~xj%65>F=G}DUyv;6J#_Ga7Uyf%!qP4
zA`C#}-UG&oh9tLi>#=DOoG!KR{iF|hdK_V(qrId&Gc!}XMfA*ES?OnGv9YnJVM7$4
zeNg8Pe|BR79LIL-spuu4$KcJq1eQKxlh_Q%-UaXXi=NSE9A=7s_^Yw5Q@!Iay3-WR
zl5YW7pu*9G;Re*unCX3StKi;yRl2#XUhqXprAuZ7nMFI>T#C}yX7Dxk@1IMiw|6I}
zPzsqwn7L@^B|Mon8H6u`X%``TyR<zzZQrK_)CcI@-XE@pHd>e_I=}yQun0t{ZprcP
zTLg&^Q*!kY;xi4+>@oUjOs!?^sn7<u{<zn#ZQ?Oa+e2Gyy0^j=Bb!8*ZlCfQ%8&T)
zwr62Z0T%rrRgN-fJDV1v*cvJU=QRA|TD&w^9E$t+&?6KAvuAd|jA2vKEZrHs^bERt
z2Z{sN`sr_u&kx#r05`AU>3xT9DSLth`7)GY(=7>k22$b4F|~~RMPZ6PjL*Cb<p3|_
zZh!bk$5_nh=^`6@PUL8cO=i(I51q<g$Yi8zk8Q(*9>H6C(u}gs7hRcTPA$O{ApB{P
z`_JKUS}SZSAG8jWt%0Z54CqX7$Tl+sqa_#F69`g35hj@#D4=&AB;=)3raX>nnYLn0
z-ajw;Rr$k|%5KmUZGB20!qKlVUi%hSapND>bp2u8p}+23|3=&Q?{Dx2I=KG53b2d*
zDi{79iKqx=?1zTa-NWP2{N~<lJgcHeeocnSeoal+ri?>Hh!67iJ{o9E&cO^vN=izW
zyOO=f+EvL#@@q5J1GILaFxQqRRMKuja)H0(>S4|KIR}gb8QSD~_Xy!XW@Vnl6`|aD
zqpy&;WVfM}0*|Y2vCOwiy1m<q8G7BPrE64geTD%UtQcV9%$)~$Kl}FXe*TvS^+%xt
ztSfgWlOLb?;;QsR6QF(D!}BLL0v@WmBAGY8`GnQ-=bxfv@du3h{^u0;U!E2I_W}NZ
zafg4e!r$J~|N61_rPk2s$>QMY4?V&Cu{@4&g|o-z*>`ASeLeWX5Y+;0&g1!DOj)z}
zDGcUo19V>iv>$u3^Vf3v;|<eW%nkJc4x~{Vfa*pNpG@sbMwAukhI#M*j9!cB&G9L|
za0b8#xM5R)ci0j#a1$vYhyZf~nXS`3Ck-*1LtqqrG=F#XJ=s2MIlx{J0nvf3Z=k(2
zoC&kRsQ`)L6Lb*O1<is#m~32unJAL~8oevSw)OBkAUcx_B0!vRQs8&!aHTfy{Z?VA
zDF&z#elJIJ#7lH|{VbKW9H3rN^MS2_7Nvbq4Wv6$ku5gGO9j0sI{lQiw6*Q?i|2^W
zb;{IZ&=@6Fdr=xRaYV4DR!q*8L(ex>UH}T`?W2Q|$2xV}TEf-@D|>D^$QV=h^u{NN
zWhk|_$Xc0m)`eax{j|*Ur}5-px^J%t_)0in3xKw-==+aU>?XxyZ@_|3TE>Ac-xZ{X
zDaGswduTeX#=gLW{=lk;KvD{7eB5o@4D;@^g?=7A+1}C7;mPd!T1@=q$qlWU(AG$d
z?C|s^JhaS%EI)eO{*yk?wXt$>w+l9w!UD-jl%*t81udnF8-$NRyVW#tWx+Fl{?jyB
zYKN|5gD&7uIA{}{xhY_jR=p^(Wr2xaB}h)ayUyzj9L*rYk{%13P*4^)y=O^svYKV{
zQ%C@1P8VoiXv&yR@3p;8kdP<Be}F?fB%sa&MSh)=zOwZ`VN644J4WdpHEgPST-5q~
z0gu(C*`0GPWx`W`UCJe^f})9uiAH1Rgkb=-T5t*@-BdieI=b|v^d-VI<>DhmpbVqR
ztM@oo=+%sFUJiBRIKWKOSUDctpw?x<({gve)Wjp7;WB|iH^S&Uy}7Y1jlSqm=zMh;
z(<Fu(Xkc@(dDIPdteQgy+o7BlboQ+ueRaj$Mfqj&&mhk^oZ&d;GYrwV(!iUW|62%L
zB8U!lNC3myt%GV@R#X(x8RD+b*<WP3n0o+A3l$4`=QG3spcfq3D_|C9!=#BRv5XVJ
z>3%?2ec>&5A<pmR7bf5+6&ab4sTn9uYz-34VD4voo+Vk-QbUNBzD^L0!vw@1EsD#p
zn4YSVVuOQcc%}l;%E%uAQW~q(a}S8cz+Ht~FxI4GS~)sTfC1<6^nT3zNSi2l?_GPm
zW-c0@@CL&(^pSEkhnX4t`P_L-uRA!t5G9OU9z#H2HlQ&H<kUeCd1<|ThfJbqvy2|H
zPkTYzdEl~i-)3l<=kz}Q@3#~fSQw5Bq^w^Z5+C}bRh0h=aQYG4$N_fHeJn&I5Y!I=
zgQP<G(M6E~QKJHT-X>n`L?TdAKP^wkM;#;DfsaB4ShiTDwGR!EgLM|<bgZ>Nh5($O
z2HbF>g^FiELl~H4PG0|=8DtSiT%O?BV<YJS1W;f=mt8hC8G(Y?BD3`|6~Y&ss60fc
zARRuY=$q(d%3(A(@()ZyJc19wXiA}AME>rhStrMS#Ede5fWL)25`ew3vt`Z2PLLK@
zQNnR>+~J78-!g+`F-LX*{IY?T5dG;0F1{f8;cqu*P&+UgVZGq!;33{0$qm2@d>E5=
zBwHd<aR`jAwaDKLss&GyzR+H=P=shP<N<(tY%E<N<>&$pv<EaR;H!Q>E>mFY^sS4%
ztP%gD&d{S|Q`QVpnE9wc>CH76!Ob{$B*fcWKfCZ_amV><$P$8X*#VBA#N@{Hw;F6{
zHsGH@(?C5@LIE0=K$A#W<|Kp85Ox}cQ^9wo3l@->(ai0WjAFPsN1!YCdd=ZY;E-^9
zKqgNF#tYF66M*GI(;r}v3%4jJhYlPJX7pV4unJ=P<FtqFqTv8EHAD#*X@=)O-N|HT
zt_iHPNhyP}fXWr}{esVjUW0}=VVfi2h&Nvlm4*m2c>BoLl(jB}%={p5f3lG@2e$BZ
zs4T8vEJq5*Y?G1HAkkE%22BNm!Ll{<7{=ob+(yK$7<@a|!F7VD6Hb(nzdXTOnGlbs
zgT_F_BE325Wan4geZKsgOiQ%RIkFjq^Xqs8lGw%r-@>?uKcZ3*J62pg^kTh2Jz6=W
zsURvB20F}JL+vsSGP~M<droIWt;~YS;28S3B7%=RJ`4lCSH)}^$GI_88%gH=ufDcw
zZR3l-D_~1FJTx+q4{;_Az_diqJ6{m&d2oZ5+s^YcU(P!N!N~y2b0LWJZh7S5+UPZ6
z9{OLNaMR=#1wosVwBP+C*t`mm&;q9e9_f+x0!Q?{kyisp9LuNWx2LXKf6L9^(KBHH
zW?Y>&8Z5p;q5(8M5dJulK}2E8aos_<^@TAoq%$9`sSW|(lsEqn(+Xnty^UmT+BtC5
zBKH9bDwX&YZGTrH*u0~{*nQ_A4}^d;I_oH$cSJu>F24T_akj{^bS`G=oiDZ<d$sNX
z7ls1wjR{fYe^0DlUS=CIT5~P@kz*HRRD1bZP(#?@$Fv4bDhW}@FfY>x9xH!v_M&!7
zPGi$S!V{)XM;I6g8#}>In!L^EidSp@nlC*k#?U!KJ)za7XsH%}z+tTaP4v>XsqeRr
z!V}0@&;#LJ0+u&_u=50j^hj#;+`uAFR#!;(*H(5nZSm!S<bLG%0>8m_prhYF?&%Ft
zeC0Sc-`E3f*b&$PAXn&c;obmtfo-P&K`q%(8Srt)Ha_3(NP-|X1Yp?pFbUJQ$8+LJ
zc_?ERCXNJc@nXRm@Nck11*VtKU`GhyR~Z$bmYv8!qN(Vc!5v=w!0K5*QE0z^_!^px
zf&LN=?9DEai@SCqQoL_IpWp%)0?CEoKAeSm=T>`bXUWoN-Yg-COXviUrd7j#KF_pO
z2gT3}_ObTJg9PLkn*&)1#<UnnowW-c$wH!aKDdKHki!#`Fw7^+d=|p0*iOJJ%^<O+
zZ&7&Y&+H0>lhp&wDM=^L119u9G5f)mxW?=CIHU!z$^0mD;Nn>%m4P8FD2>knH4<Bc
za4`^qfqh_li(#YrLfALWC8Q4!xBEca3kRbephz%lqzvdk2F6S@9SP#{U^i<e2q`fj
zvuJ{HyCtCMkTw{)5CU!Fiaps0G#nEoE=08B{9yQOeqgcEwbF*xg-n7-V?hIqe&|zS
z#Ka4^0#RK8VQmg1Q_S4)wW_VTz+sk{ba)y*2M77`fRZ7OxCQP46E*K&ft)8ZiTaJ9
zT_B%8jYINak-=kn7ZRDUH4)riD$aE+TFFx26lc(_jF8z5MK}TWb+3-<6W&wi%3*LP
z+StBBe!zIcm0<8DloHNjem#Fp{Gk(aKj(vaY<b+xunu{a00Amm3%Z3G(z(N<AHD=P
z<}u{)UWTD028<f%8t%>SG<}?>t`zzk5~;B~7!bMvcF62HCuaQ|Nc3K?dJc6qv;|+7
zyg7$<&UAk@Tb;x^#@)EVtN3wI4OoG00jId5X0(Y9AGy=YKJYX`RcLY*xpCQ1su(Ya
zPaGaP0ijR_qa>m}1K9*&h;LOr6=h62Hz|sHOSVhbGk3Z0J}Z(&QvxEoo#$hE=|ew#
zgDE;oHe>gzf+*bsm#Pz_SHIERoc!5}HGSWCPIN&<r$FShg#x-T5!OosNhLsHr@=1^
zY=_om?19xOL1Q$iaq%e~$wqTppn<13dUr#mYS&qSlvMZ3y#<XgSRB{h0V6b~NXmwc
z3|j@cn-SMaWjwEtdJ405t8*$a1=PDzis^NM+}HlH7u3<+plrLLHtUMG?xi)op6~<>
z@P!{5eMVz=m!%B8n_BCY9X@kKhssV5Q?xFpcYtAv2$S{SL7Nc5)@3C@;&~i6j(iCs
ziJt;un;W3;;j(WJ69I0{nKcwvP`*Y35Gr^D4UbdA0RW4^76lucS~S^33vIpx(8sj<
zud9b2-aPz8%B&4-TSbj{bmfM?e6Vf6OV1JqKsXvH`}7s8L`maQ*u3V%xsjIn8UZ+q
zS;OrGr*?Hh=n(_TNgYT?2N~;8U3J`6T}|A~n4?e!Q~`LEc*iNt_M&3&(x5~El>mu=
z=&n~ERGOUNnII!z-`N#q=(Yx>6CrE9yH>d&<q{fx!TCXXa)zW2*=Bh82G7GYUojkJ
zdeI0_nsg}YRl$C$fC^T)Q30s-bVHoq+r!d>P!*39E>#VqJqgR?QtoyT<fMVSPJpA3
z(-!4mUBkyp$gr6X-vpWR(ZC+7$qOx$Em|fP*te0#q)}&VkFWHwZ%Vff4H*CBsTf0u
zdA$UH3XR>};QB!`j_{j$G^Yx!F9aS}vRnyM>n7#UAu$e?9GU$WPOz=sB0D4GKtftS
z0z%_ZD3ah#1{L58$oChr!A4>i$s3dtEFt>_iaovgRtx0aXfMS>mJ`iDH>yiHjBQuo
z9YG^O;LKz%&oUf2p5fp(b{u1a$wD+IwH(r5)s9RR%t+7QN&nbLb4)=|3Au=&&$Wx>
zce7y2pB~O{%&_f;O4|rF8M+#NeTFHVB}{0h!z!tOy3!jOj|cM;x~&?t!}tN(nhXc%
zFEquVkpciSzRWX%rad%X7j(`Ua55W!Ezk%63z{88H@HF;5#+(GxYv&N@Tf%tvgmdf
z4O8!{TAG?}+}v(5^yf{--@si3Zg_(pdzqpDb92ZZIg2JtkunQV0F?q!yQ6fx9?SzX
zlLUHLT6Hm%N&wFS^Ys;<^}*^8Mw-03)9>54)ixUf5*xh9z2KSl2YANraEfn0y7(F~
zan#U}@e!T~mjKpK23a}Q@%|dGp<Sm*&qdAOuLJ+|Fw&~b`!C|$enx&Y;20929|(t=
z$Fbf$MMw{9Nhkxs{V2|FG6Uw-Yu9Zw$2I>S@M9|EiG6TCzi=WNjci1|%)mHw(>is(
zfj8ic9=Kt&u?F2`0uq*){w|P_F2h%jUJF(BSn2^aG#N;2bDNLbtag8P1;`0x?+F1v
zFJd=PNTPB}ehpI&p}#1@T-E2NK);5hw-<pIA{w1L2Ahg4_}vEwgMRgQx4}Il4yGZG
z;O81pR1vztiEgBZgm~frY=t_2VF_52cF|-;tCum*L~fn;*I+U(q98gB#ye~cvReV3
zSAvY(36>>)czO1{7o0hGl>?%Af6lYa<GovNco#Y4(x^qS<>4(2U|IJ#AOk1bf=*Ot
z3IZM(nbQne;3x_Kx0z$rRp61#UU26zn9)jb3KugOXh1kt5rRT<2U4KFnuO%}#vyFt
zHWuAa65)-P*6@)}v@gQF*ABjL06>F!D_kLL9ak`M!L2UrhyyT?J$AhuI>HFi$)8@W
z=%|?jl#HBc``~h*(G)bJ2NTK&ey#Q>z$%F5^1o}{k!Xj!_*k6CCO_egH!TcJxk7@L
zNo3zPgyA!x4Mk=RFkvoIXeIT*7>zO)aR9iGfP4U=fpNUVC|)9(Q4@_^6!?>103{<5
zIX-?ytsL^RLhs@XQ&cDqwzRfBYxG4l2h?9QP3{WhiYSJHr{2jP11)s!D_f9zzXDJB
z5CZdPS^|qkGZKBZaNu`LKq~;GWId2~2*WJ)8elN3(!Xo@wX65E_-~B*{Y!Tjw9bEZ
d57JSg*g=1F#dU?bB6bmX`1lX`-=F>Ie*vS_^CbWP

diff --git a/reference/ggplot_sir-8.png b/reference/ggplot_sir-8.png
index 2d1836c46199c38a01046602c5bcfdce355529c5..7cf08dd491c49e911919597f7436d08ceadc4e4b 100644
GIT binary patch
literal 37238
zcmd?RcU+U(vo9P(LAMm$x<#p$0HPEXq!+gh0s;yu(ovcan)F^QuvLnNCN&BoDpgu2
z2}Dsav<Q(<LW$C(gg_t!5(w`K;JN4b-twMv-}~3Oe89+)=UHpktXVVP`ObvLSB-S}
z{}BEI0)g<u^e&n}AUgsf5birWdB7D?%Bwl>!gI$!_ab-&Un>{tBEZWoFFkV~2t+J~
z^TU-eHtz_59EQLy{(U_#b7nB&#h~A9X(nSL6Lwzje$HDZr6)N#Rlz4=o@U_{yV$=j
zk6)>9tY*y0(ck&|SP#|~VvZ*BYLxvI;lFmR(qn*BKqhwgH9@5lW$TXDxXG~X?sis=
z>F&6wbZyVkU1>0<@z7a`D|dHt!@fcracCR7qH+DgN_cqoM3gjoB@-{rwIS+%)qf&o
zlG3uViQU7)!=hqhVb>5nQY%@|k}HTjgH&;qQ>VTK<y3KVbH`<P)K1=qdKOg58`4Ig
zwjRnE64oe>!KF#pa@X$nl9fc`?-sVHqs7ov6p2!D<p!$THS77P2+YV6MG6pK-nXGY
zr@E#q#$;SSCWH}_xOxF$EVW{r*p{{$bbf7Zt^LQ3AO1yjgG!<gLKHdr2qvHP;>Ggc
z1>M23z7=Xz^n%fhuR6+4Jxj!Yrgwf3Iw8Gs-qv<FgHci!OrKJN)my;B8oY!!6RF;^
z7MUYjP>pFHET*5#&(G(Jxz#;?{v0J06o#-=&+2fY_}5+2S34re`$ZaBBgLY)g`aUx
zZy&czR7#bzT*|ksaytYBM?qKgis*@8{Rzwglsm~EhLE*EFF(1!+{2kB(!2<saJSdC
zp!+?n%y+VDd_=7C6j0egaq;lOxLy19?Q1A?A-r*Cq2-HiPDeu<Qbr@(QKaGUGIzx5
zk`ihI(PE;KMEQ%=Htz>3o}HXjn=G(ho5D-AW+O-AO<GDkdP{#aO)krBOxE`b9x$hU
zNM$H+#3d-Onc~OVQ3*3i4E3Vb_^G;!8_VQL;g**JVd4S_1~PC18RWj%ZJY;VTyO3`
z!)y@Hyd?OW;J!)Udc~E%rQ207#B^e24fP&hCDBZ>uM)`5N^}SeTyC!<n!<~O#HP-3
zo`wWF1#i<em2t$4j!;Z7p2`^vqDA89ml%Q+tf{F<n?xWiG&eRjdK%N--7N5PMLY%1
z3i9#!-Ym9SDTE>^zUmYF{QMO4Og{>>A6~Ln4mHRxHwFX0tV=SPwW<$YSyv-0K;jGg
z4$O6wRK6jqpXp`=EsVz{#K%hsO5o;Rlc2cq_6#b8LJ4z0;43VO5~OSLlW0r+bzzQ(
z#l^+Y)3`UUUcD+vOd1**+HD|1g_Wt|#?^ertt$K}{YA#!Sqd2ga(s|;sW0jlCW4qn
z5gG(SWaH8|8HKMGq;&%NnIZjR!>wrE*{mwI-J1bMi%*w}Qo>RxZ<vhMH;mH_Y@Nz$
zxx6;y)Y|M|9V1*^LomPHMnuH}t%ZX#6o6pvlI9<r@!5%qoL$YTBpPJ2j~^nTJR6)l
zb1re)+uNg-7z_n*QPI#V4ZK}o2W<6&#$Q!&L+r*y8CcA2Blh@Nh0Mty><{MTp@w?;
zt3)J=FgZp2+#sP%e^}?a&!m$czVt+~A>*=7i@}eCB#UV=T^~(5r?&Tzs3dRvsK)@|
zO|UIo%Y`;iY;;+;$YimE;^X7PWpI|o^~@<&s)Fs1DSYj!%$Q(Lk!64xqR<Az46{Ue
zV0;}MMh#)wVb5AaKG#fS*D<e>Adpk#vpVaAKCU=FMJ+*9D?F1ltxfOJVPgLxbPwa1
zc=0RVY+pLB;+Q0og-yeY4|spgsD=nQ+_WxJ*47Sh9UUpi4+d*o86Ba=5XK+J0#T%J
zjDE_JP@)5Sbwyg*CB>v3gX%~>3vWV%f+Y|?F7D!3Tboh&39@ym-A6{^j9%Ft8lqfx
z(pQ~ogt(mBshz2ukdHz!ZouT-l!Paw-|@b+fftRP3)?XB@}9y!0(p6PrS)Y}C1J+K
z_@0|Z7L`yKP{jm;P7kY2@^(UK^px1H7d5&lCbQY>n!KdSO5#(_rAEw{L5l1O3}KW{
zFt0_q(Wkn75a^uFyQ1HV?KpDT`A_vL23i&obqvJSa%Y~u3=RwoG%o0#g2IaEe!vz6
z$~^0U)rPq`IJ`zB(bA3beF6%)TYmleHPoX4JPy2Uc(z}f;1rRYn@cq)^O@+#k|3c%
z+tbh51K&^v<(Rj1om*d7k;<SiK@#R47Z+z8G>6>Dnf(;Wmm)BP8`(X6g{{O0>K@2n
zJ<S7_ngV=PMqbkH#DQlHM{$EN?FwLprZLgc;y#U|i7w?O_4W0HM60g5O5yO<6uA*r
z18`~*Z!7Eblf2jF=H~PeW<(2HG?1HDa23Xx2~wV{Xu|~|%aGX%c=h}g-TGHN)&(h6
z!Chv>4R>mpEc5lg2QaOOTIPeaGtbqYW@}YDPF%rrt1bZvZ8!r&_8DP!bN=%!Z#$av
z3bEGzuYBRX^BZZf$Wx~Ney$$<HPRyC%IP3N;odC-dv{Mt8<__j#SPC6BpNcP9Vl>J
zFMs^YLI^E7aeU&eaYlxdjBWr80@*tUjJUkFpdn;9Hyjywzc#{eSWkN?H!I-;t1hOA
z79besIP$4x<@4_Bl;~I?h-wQ*x!6KFZHEu7$yq$r)>2gk#K?(0Q;CMzUG10U*<T*1
z`E(9sDxuO$5<`}*j3Vm9+u}4BqvK$>mPbDEL!(@fpL}4?$TB~P&*w82vO>z;@fX>*
zdjf}+5=iAg>lkD1!^7Dm-KK=EFW@%Ii-nr=)tdH3$J)7P>enWuJ6c7MYC8Bd(iKHm
zE)<{D(>8{;OoFa_oIR$f3yGAz!>a&+%zeKKZ-SStL=BpkQ(oylS@)l~70#&QE&Jh!
zZz~^PC5R_~NY7*qh6vWO+8caL4u~KB687h~adzw6{gKs)zaU<VD<a?!%q7uQkh3kw
ztfh+8misj_k~Kd*Y6bOV>EN4Kx(gwAHTE^XW+YkfQSO)z$$xBdMQdejL<|psh=y(3
zSmT&=zHD3BBOi&CwV8e6<KTuG7a$5%ZT-5Z5zJ%RHv25M;;J-q9akLc)119JHYr_e
z#}9e2w}ZR`0?9UcQ~P%25!g8LMQ0u-#me;2M4h3ub?;$4Hf?dA&z*$zifs_5Xfe*N
znCh2n`k$P+o?-7i#W(aAnmR~d7*Id+TmdtB$lP~(2Ym-XC>*I?!o?_xfw~%JsnsJB
zeQMWyfWeFhPMq=LOV^{JG#CzqwYr5Ov5+%e?}Fx6v(Z0ZuLQLd#<j;IK8d=9LEfZB
z0=V-_Uzf!<L>b9iWm8DyrRFpth2Y@$eY4)N%mUVB+6M_r==Hu~Ev1x(kh`)XLLKeW
zHggraS!!W#>0B>tIAYilgNFwN$I~fwiK_$;vQPcO+y_DDtWydSn)HXdQ#LCE>y^&z
z$4dIN{`H_?duA}9JONKdqRC&4h2u;2rN>#VKHcpzo>Qad;-Q!)#h6L^DjA^lLL^`o
z*De^RHB~rsp-2$B=*<Cvr{IR)V;&5KB?R}fSR>Yx#J>FYdYvp8<3FMs1E#+QcC2(@
z`l_6du9w0!Jz32Z^Z7v*t%~Z2ryLt0Xb<V=+_M>4Zd(cJ7;s952}=geqMhU;hH{`d
zLH`7an;e~NZo#L?W_-}VF(G;DvS0ti2CXa@eI3JVRM%2(p-+LIxqsTYv#%B%D#4BO
z`a8E*#fZzWNm=$QgCy~<(WzRB`1A#17ApSxj)x1<c=N!I_jrXQIV#T<T~7h#5Gg<R
z|7nd0pLaY&lB!PT<Ec0Wi3qP|xy=E%z^Q=vMg?S*ooYSM5jM&wH-3>pm|%>)0rO)f
zR!uR-?s5H?h$uTbJn%s}B8d5z*Y9@!D<Ur$w~yl`&I!Gk$|)1-psF36n47(kxZ0Nx
zFy5e5s=>Kc?Zd?55}Mj~CPY+wYa*whnVY@ul$(uu4x#tK<m;v<YWy6I+6Lnk%YH#7
z7R5P+6vHtjNc`!T5FYB?{Bf~>RZR_P*JAax&!Q2LJ_iIUwIKxE4KLpOtWoPh04q?s
zA%e9e>z1<m<!N^Ih`=7=#yA@W2?_k1tTUJ_K}plgg_f)#8Cv6O8QEc>;p?M2jBCM2
z1{))3Ue1@wde@S#xx)B1&3#I1BU;Su_h-)gh%>%EGDww8Uz#8K5O^E>{McIn49K-@
zaXSzb0txi~9a>y(ig$i<tps>^SZdOcwj0Jif}04K>HXjY;$5z3<)MQI?+*A9427UU
zmPLLp2np#G@AAIYU$uVIRmR;;-S2N0xE3KnM3l!_!{kA9v<=Es`*(@U_@A8gFVftO
zNFlpdS_naFj^QMrLE(rI1o{k4`hc9pBEvJVQ6#%QA_G8*@wqv#IwCXAVp<IrZ%q3H
zO*Oi5W%XsZt5(3e@<dj^(Bmwli7J2%8so(@va?55p|-!Kr$ZLler6>$TGBW(co9`-
z6Snih0c`gS9T7ohjkYE>uxIZzi=o~QdZ+*}p{Nf)E^YPk<HrirVGn@dieNU#(G)PQ
zMctrBl8KQX4F}~UHbIM(FWa3KieTwL9V~*JWmPOl&nyw4uZc`tR8*91*et2ay$%XH
zpkNdFMM>chN4u)g?e8N4LPODKSC&5lkljrtlRKb(cklj+;uld4J&cPmq}8gRfAHte
zx+{Wo=Xjpgb0|o5PDV#Z&+3_|xb>Fi4tm%ojb^}XzPnbYP*esyp*7)lb}!3~`)sAn
zy%yS4kku%TRvL)GK{8{go<eg)<v}=yB!I+Q0|aPDyN}aZXN{mer9n=!3}+k|2poya
zANyfl+vDC};X(?h!x4f;+9+>GUXprW1WbHaLQjf`HtKd`w1{BvUz~v;X^vc;Mf8}&
zgjR|C79C>%A@40|J1W2sCM{=8&;IgNA5II^3~4aykyi5=9y#b*RH9!7pX|zGNaFxD
z%77Q;6D<_fll(RYgTnA2b-g>~tDce3?u4)+_Vh3Yc_l(iF^;V%od9QDsw58MN96~M
z@)tf~-1TJ)q$E6%@9|FML7qitVK!*bmEPW7=aArFHb9Qc6qt6mYo(E)_q`(ePp}ak
zEy*X5$)n}KJkTJQu_n}Xl!Q^>&M78F=^ff!5Y@79T2TpRrmxY`DOlL6*Ps3Aox&Qk
zXWe?(myTjRT@Rl}iwRya3pi!(!4g_$(rwqxsA5{__R7L>Vy&qP4NG_9cZr4p)ecs;
z5CnrmLKNilLaT|)<V#Nv<aN6`o_T4Ah)5jWmzQ)YWVgP|0=(#5W&D-y2>=e8baizT
zV-oHKe*RCSVbTi0mYEI<nQA`r7Ipp<qI7wOQ~3(jwP->+tqS1$STO^egIo&D_hYhI
zIm0q}s~x^{73PfTQS#WWQy=U)Qw?Nzi&ZgfZJdG_<?pCm&S`*^-5Y62012QRY$$oO
zGD!8s;J{rad2tbu42_yb#`6ZP8Ge5QnT7l*PsZ$Eh)!dcX{;Y>^k704iA2&byMxcx
zl9q-6&OifRl&YN3u2|(c9FEVq^ppo=vK|yF)mAfTuPA4`vG#4Xkt#5du%HsHN+W_i
zJ*f?uq39q_bD6PhoESRau-mN2k9ut<O1!NXa2LCQiW-te<;-lu=xadT)OVHPZ<A;-
z)5M~>ldzj5Hf!}omM9zbGiPXTph)fIWG%NlcYY=a$2BPmREj|$iq4&a9;`8_L>eav
zv{-&%*)T^?3?I=kHj7w@VCEVu^lBKtoL2H*T}7$m1Bpq)0@^07Mapp>Wlx>t9%?q#
zU+GDV@aVVPOuveU%%p?X_q*F@2Yqe?d0G=lL!1$zC4(Ljr(xrGWP~@uNoI@`GF@n1
z?o`<A8U`}3o7oq!tSPewre#b&4<s_pZ+*pC>v{rHCEzwwuGgR8e)4AFa>-`?7vAbi
z-=R3UxW1aU&Yt-wx6RD1|197MjQ_%5FeOH`Cs0AHW%2{dr4)r*rDPV&A8LL&=yZRs
zuX<L1G%UCCuEghqCHmgCb30XaU|Q$s76lDIxjA}I@Fea)gM3J?;AWA!&sa<Hf>eY~
zeYdOiE&UbG#2f4}knxDubbEVwdF3Q|n{Q<Q?i?qMc-_zt5e~LC#z4kds>WxHNjI*B
zSAmNjGLG)xjM1li*1bGe5RwMrh}VQk-;`N7OH4356IyatNtn0t<U!8#FS4Ahv6lKl
z=J|x0`uu$7if-3#sGwxc8CWhc_+H&0yNm4(&H&?`#WXn5LzBL<9+eh;zP`R@MRaSJ
zKUiMRC`7{>7{hR?1IX|+bgDd8Hga66lu@7>Og<kUpHkHZkz@^M0W%}~`;GWw-&wdj
zkn>o^s2Hq1(Loj`h*$--b_rybnKYB9A3uJ44E)R**tJhk6=<5CcK||=(pNt59XJb(
z?7MCMi9`?nfwNTX>Gne<09Nn!0{fh0YEYcPvAp+^so9Ik(<Lv8+2O>9B|8&5vKUYz
zR~$NyrWSJPekvq=+{o>`3ioiJ2*5Ei8z=*CD}VmyFHEIPa*}>rk5Ne9X9R`8rh`mU
zpl5ACXhyFXIq3rOn<D^xN9IQ+G)(nm<Rz9n2a9`E>$i`GuIjWeDgof?b#cRP{<o(8
z-;nr!`pCQNv}}$(G_y6bmtv8br>a<_4ekV`Igx~LO9P8(KD?nSWApVT`WhZaE7*8n
zYh=NdCZwpvPd+&M&qe@@l$YdW901sxaKJeSZ2nicprxo4mG+H93eiUdB$+S~ndzfZ
z&<JbzT3b_`2<l3=6Tk=e2!<-w&qm!ViFvT_%+Xc=U2=g7C28NtxKVIZ4mi~uBC{46
zAX$S3uFUa$EpQdF&|y9A;JQJOwA|bvOWJtKJ$R`>0BsooXKm8*1#q9E)zF4#uN#uQ
z-3z*zf-KY|mFg)VD2Rd=*}kvLP8?l^DqQiN{QUW|phXeUC;#BYXMm+Fffu;l94}^U
z>>Z9!SftZ2LF=^zW+mYMf=VJ|cfiKceQ>s5+YpH0fS|gC1RSdl;H&U=QKUFPJCEqg
zOh_FvEDHuMN?{l^`1R{o%S5y`P7Z|m3jeyn<9V6SMiXI1dftYJGS3VUAc@d+&N-h1
zey)i`S(1Zko50sbu~=-bHp87%WsQJ76;i1G`L%E(OsO6KNR2U`;i-KZ_ZU{ip^GsW
zE?f|VzROVY9KrxF1W&X|;b61Yr78{-PBJNeA!~bDNy%3iQ48J{qxiFOpu<;aIX4R`
z-5P#`AH&fB+np8G!dA!K#|1%QKpy}Lq^6pLhj6$mUAsPxNn%fPNM$W8Ee(XPRK%Mz
zr&lHhLw0+h=bH$$Ir+h9WdPFL8<=NtywXTZUg3r$lSBsqD4_`tn>oxhsq}VZ94}^*
zL~kpL3;_Pz7$FE%14v}86F?zjJ;YdRDg)>|D|yryG4LU9{^#_P%Mt=AlV_!P0}1q}
zk(l62WlS-l&a)w+7mDaNVE%H}wTo=%A;7--6w$w1OkX0DYI3BtO95EIyG^F(Cj15>
z0y(<EN=lGi@j{#g@x2)H2pEw&Oxs$2MMv4KcMi#*7M7HFUMr%1gzC7WNDbAfP!Ndl
zQ<IZ@>7&C{B#LpRMUiP@D2m9OjT2D`52mt!u?&6t_N|*xgDr_zn~u1qzv4{j1GJDX
zQ71k@eEpFaL(B8c1Xs*-&x9PBQQ54sRuAai_c5~?V^vzY(pStPPMOMw_5ZX?fGdep
zMZV~^Fw6>X-NSl{at{^(g2}6b&S2pCK;5Jjz|t9ps}UkE?(#?)z`cP0@N9v#;r|?1
z!+D_=mzHd9=?57jzQC06X^Im$mGB;qurqMLui^_T>lbkqJ0NyWi)}3!A<?JfXVdZe
zw8F_L&-e&s)yqoyYHN2BY8Y?z$i2#&XP^n-W<OZC98MCL#`-*`n6Y-!tT>ZXB)}t9
zQ-Pi)-rp$5ZU|pvN=OAkdpWH7d;DNs0CkNoV0PVOq$v(19YkS|fmm4tJ-IZ~=i`mw
zoV;>kuuFNLrafzk!jQG7xNGO;HbVpn*Ovzm9wbaM&Vi(;JuhjCQ=frlr;M68abktP
zpL&23GQ?1z=Pm^;OE`G2@yeuT=sfc?*GZ#Xi)riMEIQ*&hKKqw!I(N*7r>DATh;?k
zbP&dFSm@B8q5w?u0~VKnK+D1OWf)gx$y)C3wc$n5hT22Hr+j_^;Havu&dh^))-b0E
zsJ8W?LB>V&3&0mxffAWDtPIqr8193$^e#|?QjuI)d{w+K;DZmFcvZy()SFc~``$<2
zdoT+A$&@r4JG-19p-$yD14iLof^j{CTOo8yv?U1+1`M~z30Zml8`YjN8Vim?MSgJ5
z>U=X5bBglZ8Z|O9g1VwzAN*c9FDcbn+a}`FzJp?7YgZ6dP-s$+!mX|>7#nrT=7olM
zW}Sr-V<lHSWX1{~Om5WY0Q|XuwS=$rjUpS=x>=o_otWE{1V)P7ZxHvvd#t57RPHTd
z60HFPT1k2}Uk_3V+vL$tAh`-haA!RLr6Yli4QL?FA>^Bzn;GF_lmOsHNT4DVbe>ar
z2<~uLW|}2ZO9n_z{}CiN9Gvrk1!(*f6C%jShC=E+5whlGqtY<-EF<U1p|b7*GZ0Uo
z01>X%-QRG^eJ;Q~0UuZosQ3s&HghsNI~$3zC<19eQ7bR00Y;mF_DBQ_+(QDd3{H*q
z4LC*$*Q$}#F<5l708~z9-&fY3#KnVTE?v}4cNXAh7Gh?g#%H2=Ne-zQ|6`M|*K!0w
z>jUu128bD95s^CY_w^iq13{P{n3KXq^NSFbgyU@WX%nzny)GE-9O4z!^H#0zWQm}F
zfcDhQ)_;X{qdzPas7AC`S|LlB>cB-e?~Ci}=?Mr%7ywm!y7!eihORS!!{!FT2RL#G
zadB}Nt;J&cDe(2HWZ%Ng<Xu^91f;*&+d3=)y4CU$rv<F`W%uj1=dF*R6wrXd*9f89
zcmV6zz;%nUc*}~h`@8)+7BwU7@&9Mh-TxFT{U;!!+WpwKzk31xPmK3}=NKGtitPkc
z44}z~58g6MK-^m|_xy;(o*Myvul6vG<XU8qxT=av1%*ppP$5Kxy*J{N&j3yI*kXDb
zF_1h;^RHV=ZcZZ|g4I7CT?Dky#K#g&p9kbckyE$8kWs!VqD}3aaXw)sBa8&1l}b!Z
z45^Z+&~1T-d50o|q-uOY%F7FaZ4E2IZwTPC-br7NX<u~}z}AgS!a9s;k3bfqLbVOp
zsJ?|(5}DyY<T*2Vm2zg_WIBkXcSB%o1<<N6_<U3XRJz!=hXalsJLV~uw}q=X^oa(G
z$vi-`Scl>?5LSt!i%`E!aAg7a0jDTJ9gtQqZvy}Yx2pR{q^tqLjZ{TJK+VyC^M4UA
zPMmqky=M#j=d^*-etsh{A(d*W{qNZ>sS7{<2M|g=0zfDhPYsL%pfWt`S3YBQfHkjF
z5?c*q8Zb`n=^rL-HkuT?X8xQrI+4c*#Q|oI(H++6$$?J@fCy_1GnCy)CFX{-kGKiq
z-?7*Jd+-#4+VHV<ReR^8Tq-R9_wXn$=_DwB2Fx;;k}wnf8mISF|ALYP`1mwwhk7h*
zlO1}x@(ifP2+(h#(qmy<RB59mHqBWt#3|L>kB2()uCl&72?6kH0%g58smy^kzx1vj
z@FgMeA{gywSZnitpzfcgNeJliEuMhevihg>Wu%Rrk)Rf1-V>)C$UK{?u|Z<lC^4$d
z>Z#MV>w^FdC2EAz&@8E@`~r;^r`N|1;g^M|fZ@_jpq1+AFa~^jB*soh<+>4h(Ip{+
z(+84FhB8NWfud@I)){$8K*8TFbl<q@cn+cGLF5|!VJ|BF0Yvc-@MW7mst7h=1U4&^
zhsFSIG7Sm<itUv$7eH!GLGwUS`IAXY2twAVET|(>O{mDa&VM@5+_bzeG@yt+AWb*`
z2$6ZTTC?Ofn|Ln#bXq{T%-AZBS*=}d@0_=+YJKOjVBVD=Dr+xbVpz~^HmXhS%t%J{
zNW4abH}7miYoqg&cFT|*D(Otb`y~K(hFFJYBPuQ^dkh4IAbMtPhyKG1)tBdcH}(p)
z9i2yH)<a#CGi<ZV&i{rbj7nl6U>>zzaDj;VpX>p6`&3v$V*LT2EI&oTw?XEv&u3}X
zg-ha)_(e^!SC}XMt8>I!^(9-t4$NlvF0i5Xuk?CILz9`T87H3>PhJTbU~zBbdD~*m
z#pad(YC{v5XefNspQv-7iBd*8G{_IZpsv>^(P%g^Y>!0S3s4b9!e|)aU%o)obRyU|
zSbAQPC$*@Yb69Q`&<9Og%!B^qqQY$!(i?QXD+Bhhu$*XpcH&p~J)!v6qLGmB>N{Va
zcy0owDfZ;lZl^BfaKt(aW#tv+Ik}Bce44QD1+0>|9zw$>Xxn7%*nJ>W2Nw@LDWz~Z
zBnbrhS*VMWFoip=heTq%hYA7GbV2dUy*&w8HuQi{j=IVB+WR9>oV)<BJ8>11=^ckd
z(ZK+G0>ZQv@j5?$0uCrE3j`F9feXO<Xj|#4DdMuGdrH=c`{H_rhjma%WmUxBc_w{2
z0%R08grp7(bb_cGFj9&DA~Hgl0jThx|1UnyY@iE5nOs!K_5=rc1tfpxCLT|9WT;S0
zD~WIf8cmoS7<8?i0-&VWV!9471E}m09GCwnz%BI(I6ylEgu4yXHsD>2ERJ&kj5*2Q
zrh}^kTxYRntmKCOXs+%Po=Y)lk&woHeE62L98R5}-K6Ca%tP<Y^U+zTM1Q$6{vAjv
z12nI({^KkYvh62lA(4F_w^$}(Z9#`jmX!)&A+qs?tNfZoL)Z^aH%TA7M0l&4B+of?
zXp?4g8{DLszR`czdHzec5d7b<I8Gy(qT>o}tXa;gdJgzoD%3oE)EUMjEhWWvBfK%x
z>1|;DFCoe4{}Cj4H&ta(q=*PThMNS~xWmO9$}v2zD;dcefp`rnS_q_zzdB4>(xDC6
z4u2yiq*fY%gX`I#R8s%fCA%l5|1&Lz<?>|f8t<`PATOsPGBX`0fKGa6kSgy!+xx-3
z1N<_XmxQMbJN+-pb+A5^A&5C}#CVxwE8CaTvIEwX0+j&Fm-jj(2-NCQp}3!4o|dTo
zxm7JQET8=+8e}&*u(IPYQ2aw8Uwiad$iUQL9tLH>jnVuG-zC7==MxmP-7L~^s2MpJ
zU^+^V;Vyxo*n?QLDCo8zdY~FG_^S=iN12>*l(u6;)@a!Ve$fntUi@z?klzLiba#sd
zx_gsC26Yo;#;72|0l+&!#CPt>n)xOX<JQJH-x89@>};;o3VGCL`dnDDi7O&DAt812
z$6Ph=g-Ns;P)!^N{I;8uu|dAd?hXWDaSefMuFJ30qufJ7L9X3%g<eLO40Wc>&#c*4
zBS+i966`^-_5`jNw5JXsp`6CU;>v6bIOdmK4`&!iX^)#m&X4anofwdAs(Esvd5=Ye
z4vvr*s)0)fPq9<O5^fyNlT8anhrJg7co$Piga*ymj{!a&Ntv8n83DKmCB1UJpj-Vc
z?h9xT<K^K|2P{VDO$6RwJ!=6}IsFYMj+S7S`b$PXL@7cb#<v4vsoAXc+3J8d`CKvX
zE35nDYgYT=>vUf_11Vlh{cO1uYs9I|$*WDiCao{`!v&WOf4caSp8Rz(WfRs^?LbRI
zVKR=+pmU8MbY#vh%yz?U!baj$*zL5j)(Cr!F(mp;^jMg}#nRq40%XJKkksyC*lgsv
z0K(+Kv<a@2+S#Lk^dtfDFd5bbc$Y8G3?Ol_kqM{fC!2?s#{Gn5Othu>boN)mQQB#j
zQcSYV;cJgJLC)!ddW+`MMfpjWf|iF8T{=S-!-(H1TN+a_5`(7=g2;ChwyKCCT||rF
z8~Q5}Amo4H1PwNzEQOmTB32btGTJ|yw4^;fAjf<F1x;>-GLG!)VY5S+5UO*v&w9ZB
zpU%l*g}fQn@BSb}W?EM+v@IVv&>WeS^*G{dqtGqmr!ngL8q#A_KAkh0hF*X*C5*qQ
zBua?4&qt=6CT$y%NTtoKuVtxt+Q7ZM<|cp`R}e;shH3CsR5^qg&AGyZ&PxiB3Yg1Y
zQVq*iS_z!~*!BvPkbZzjn~Fe>O%;^XM*s(=RY?>~Heq`W*7^lV;-<O_hEaf5Fwnhx
zc_?X=5L4UXgV$nUw#sN5fp4pka`@oj%9n&pM$^eR1r6mrHfLXq0u(9e)DkmWM~xWv
z{<tFs{dhO|oKv^TM=9VH@6qOUK~UBiUSE44sJ*;~Yo3r2j1asV8oHW-D>F0hc9t0%
zOH2SDO7ya>u1?};2yhoqVP_)PtBHw91~S7#md>2>3ahu&SDUtDZgfvL<sUmV*MV=G
zXkGou6&|17o}mKDP94zvLaQ3u!?j@r;GI_z6Lj<dXZ!K~j$z}nW4I@{r=8+?TeQz*
z*0~YJ(h@j@kASaR#jNQ>S-|~z_j8WlT=g3bvb)sEAQUCtm+SyXNQjds-k!*_N`eA1
zzr<#p*`uQX<Dij3i^?g-yd=LwKkZr+8?+c)lo>07PJ#p24=BPEC@dmkeH8!>!Bmru
zE8Y_TH#N{Nj(|Q|yj)%($XU>UL)0Z=9B>FE6yT_=ypUE<X9YbJCjndXH|39wT8dNt
zBwwHitQban1Xajv3eWEbq)b2X!^tK#1UF@>Yo$dNIPQ-D1jIlU47@3T3u1>3D=&<<
zv#uA>)1eAfU-bY$9I30T*A@_&#n6pjPVY#unt$!%q^U-?BG4#s3X_2QYyu@dc~}`7
zkd!ShR_YwZc*Ul5L^1*pvdGYSC7cUx9Y2)S+;c-{c|9U4B+=J!hxzL-e|(iXq5AE_
z(U*?hT?0vSI~B>=e|<qV{^C0`cY|B;Wpz&3T`{q}`%fFWgw)+~blvgCPQ$&=3>|DO
zqEgQHOSOAzH|TW0U<5ZqBgD`+Jyf$}WFVx&Sp&t0q7UNNLJ#h~4jI!Dy&%_y)QPyc
z|C02!h8^j8DR#?ZUbG|`)A*8t0{HZ;SH;D}?o;32NyO&-5+xhG<PYSj&Z(&hqCVO!
zq}^#6)7{<8yG>}^yT%lB%2##Ar+v9I4?ptoY0hyA8&H4UDJpzk)o%Xhml8+XX9N_+
z`S#Z{FP;zP_1ZpXj8#x{GXvN9e~76un7O$xEMr1MyUtyTdg`e`$!slmrM^|`>EX(E
z?#@=SYO&D0A+IqKOK;SQr}XMZNpP!hONftucv}&>Of^bT3>;3*URP;UmfV=7Vx%>3
zwX4ppnl}fb__IO7oCl51pBU#OC2dN<GqrvUS6D1D8<kZ0YL#zop`QobqGN!sbLxGw
zC1|LQq`CfL#ow+v%{!4}X;I)lR9?wP_N*JDj4v<(Qpi>R;&#T?vR->Qq*bdxc%Qpf
zRS7IBe?#16{eDNFEb}9apM0JyPKIN7?6l{s5v8cQ3!85rBk973R+x8BLxl1f^%?aN
z#)!YQ&LeaNxk57?%8NRd45n?;>U9*uhUZmLPlJQ()V+?)$$s0ZxieJk#XxJhFQ^bi
zu0v*dmAO*sSN(;^4Uy83bgT)vaZuATf;o*Zr%x!xMy|n#UDgovv!#XW{Z!xD4oMcl
z%y>A<e_z*!)xClIfqyM)&B5&41nE4qL6I}&9b_$}gL|z1*tu7NbgQnvH)M5jXeF$r
z7f={9DA%uJZZ*8$_fF2=BOiQO)QI^<ZsA02;ILX|2H&a#>|9?bi7;Y-&5!ECXc~z3
z?hD+1u*Yy+thHWJPNTMQ&Aw~IgM15d_1@t%`a~ad;ZS`lbalq9WKnhBvZB|1OKsB#
z=G0^z_bL8cZ7Il;*!ju%qKdXK>+fP;13bSvs6AkKBO-4161Q|X)h>?pCaaSTp*6(2
zh|)deyJY*UDb34&3RfAQTJ>YrkKFT%p=msCa~hPW778@(*Nt~@nwjYG);YS1H>6D3
zOK5Jycc!MIVRx-eooF>rubiAlv;%Fl$yaoNr`I+D>29fWLC*<eBOt1OCPW#zWD5K9
zp*Ghl_guLVoe2~v0AWAVo>+h0wx=WU;YZ%Yhiw|q3-wBM1u2UYbt(>E|1C3aTW)T+
ziSAjfS>*bRm-{}P@xt)=vd~|tQApows4yqT0RxGiXAhqRaO-X>5}U<b{!_j_X=!D*
z-5o*q?DY6a1I%Kd&C(wT<T?s|)O^V9#M~Y)QCwSZ9kXxv9I~hcdE{JJuy2+4EgsR7
zB|r62jk!Dd-lQ%w<M6a>D#U2!`;cv9V^mBO3K6QE?@#DBS0C~~zV#4#Q?M>Omt(vB
zuA@yaqJ=EwjZ5XEAkKLuI=B?BySjc@VT2vc9aFJ_#0*dk`eLHgCZ~-V<#8VatD^4O
zatk5S&<}1OJtY~ocBoe1X$Bz#lK-sm11TAt7XE*@N;XfF{zo}zl$F`dfIy6?4oT;A
z<8(~$aUs3%S;4su@s^^)X&?H90=nqTT8hUN{Ef94g=y#Mr`|7xm(@x<^@;b&D-yfB
zLj+5avuI4?bi?A+;t`9FEPqp{(uNRj#Mqzwzt<6jjtLQSe!ZkZ4Ti_`@K37sOp4}B
zEX6ep4O|Ejbh|Jtxa7S)xrjcA6E3rMAMZAeFxRp4ltRdMp86o@sNtEDl8kyikv|#q
zE++ofa>itEc_n8ZU+w(WQ=s(hi?kg<QKOB&CT)*xuIqKN?_aJ?@9d3~s}lTznSQHP
z4tBRA86nf01;DniK8Fs3?NLpDhK9$D;!D@er}T(qF<D9!y{d3T#Lp*;BmbF$T+~^t
zV5DMgO@ty&V&?tdzqSl!Dj~mXLD)`(dEot$gXL61ZYnF0upnG3C=xP7eJ4OK53I_b
z;hjO&Yv1p2<_oytaY`#On{i}ULEY|Pjp7W}z{~i%&m1s3)Q?b!ivd66p}P<0v`#-2
zHP}?wg(Jg_m?cR8|5u&{yB#LO7B$P4+7{8(NQ(1{n^su#9J5QnxGSt$BdXrLm}qIM
z6;$0govj?Jfd(%rcX~Y>56#6NNej0&Dy#a!N9K2tP($cc?~7{IV|%5XxuVg!;g6v%
z7tMiG)K_f==T3*M?JGkb?913)S5q%hV*Dm^5MKpWQ6Cx&DS0!2`K8Tb`CksBj|P$1
zi*&}X;FU+-<f%pa`C7r(D7bm}HT*VzkVgn?Kk&S;Xm3|8*RmEaX`v3bZMa-<#&&a6
zQ~E4EVgzL95+kj*S?^4tAXmUM+0&=qG_H9g*51623gUB%cF|pkjNoDK?tOQ`RvL1W
zz-Wyk@qTM=KG<7Mrz@`R{+2YfeirBCd@cA2PdMz1{YrpVY-LFpeY|inR1;VBAyFgN
zF#>^m?|IC;{s&=g#=aM*B3xAq$?rDx%4)Zl5tG>_-m<xTn0X*15E{1TjPP@_jB+9m
z2#gW8@#c*QO7A+aLSt@kazdoNTF|@ytx%I&be9zb-Sw(um@65&??k?0X{8S@(=BX`
zFC!|E&?EhPwM)k+!8vjyGM6y#o6iyG2;yAbju&Z5!`dkgG^X%Js$|d-BFPcU8d_ZS
zO33>&!T_`#mqu)g^6unmT=-QX2p#&-DcgbQI+6AspV%gv#j~n1cN~VTj)MB4#g}#M
z0&0in3U#s%r%{*`Up_f#xxWq~UhC-?HxJE?L^~vZB<%=m7(2CSJ{6^~%`<PpE5MR9
z)s9#UV)IugLZL%D2mT0+b|BKUNWJ6!c?FfyOt==VRye43IJwxq;WSRd<5IN!GjM|R
zyPo@$=%_!b@vCk=!hd~#^>P)Vqein}DL&mNOw23zCI!}*SLk<rtW2@vmd?P)H~)!~
zSV?eJ@PZ4suIB*nN~#zCIuv%i&N*LwbNdmm-8sw8SPXSnpj?J(^!ODX+uDf!%OKGA
zJTJU`?`SDspmYAxG4eUPy<R79G(Mg7-#UT`Uu!wzHhsg6XD$ShH79=9+?g@Ih}N;>
zsh1|O?zjA&#RJ45A@Tt-1-mBJKa6x3_Xx2S+!ph!Z8Uk)HC%pg01Kzj^1!E1vd(i=
zAqNA6aF<=Fkfoz5IokZ1+ch<IhUssP*7c9#K`zg_3Bp!XLn!Smv&q>Ey)cB*MZUmI
zXajwBk?#CBdRpVVMnT3j>1W~4Q@t&D)TfOPvu?lC3=6xd(t~>R+wVf@7b3O|;k)Qv
z0)y76n}R|4@3Xg~*D-NDTcg4rU=N|T#<`yJ?<V6I^&c<J{xkObMzKX_{-Ieb?j-JV
z-gh7~=RD+pN_U+~S3G}auNUjUqf`$a`Z1%M-~FXqBLggJG#_r<)b)=LCi!@#=0NT*
z>%~Q{gmY6ZUXKdZ4ht&ro38(!nHGJL9OfJx?)8GXCFyH~$}>sf@cwt<LBaLnJGB;3
zI;YNt*{Vdcw*+#zD58fAQ7(z8%_?DhvB%!v{<Y-=5SJ^Wwxfm0#{Lu>p7FvIWvFxA
z+C3mRu>14>>z3ikMYcEM5XOw}rQw#Hm`LzL$&{I9UyQ?pEtR?K84XtGaz<`rt2Hid
zU4v<TJwpzY)zUpwCA0P9)a4W|YTRTH>fg{N)bChpB*WG2*j(PfTr(sRxp=t(xZ<#5
z(5S5-33b`y05s11l^ew^l;50%<;L<H_BEwGJruuX3;jbB?ogf=T<E_7`KyI)LH0-G
z*S%ekos%N-LlaL*9wtRHLSLc@mB+errFpi3yRZzvE3XNaomgJN2rm|DcO(CdqgxgR
zmd1llO>84?nQKL*R*=@f8sA(4HhnQn(rf43hgT9Q`sOKIp6=1^TkF$EA0aFRL`wMA
zGER6|2J3~TIASgTd|y!D9J5E8c;Pui=;@a_b=$(CqV^(?Me>o$k35vY?#3Ffgt9Hc
zXWguOZd_1w?#L89zihMf$3^h*vaUNHmZytb4*c<`QBV1;M(HhC?HYIE&Fy{t=Unt+
zD84lQyhhT1m!RF-FZVK~%}ZXl9(%aQuh`VoG_j<lL?L>Q2j3A<{@5K$-0~i9cu4Kl
z<LEq}tV4=UGosD&wj-+b<*#1dmL~g>Yp15BjD6)b;KV|2^7x)lj?s0Swx?0ZTny!c
z)kFDv|H=4B@>u-UsR8mEOn+(_`1sw#<!iow&gqFZD;|)yT6XaBqc89I6v2h$_23fN
zem*2CR6D|B=Mf#hsqdaWL}C;6*rW45GLAf?f?wFO7#=Jj1{AixP;%)SGuO`Dw4JJx
z0T2T{Wm7n09MZr$yF;9ZC^-D>`g<N99_lT!9YSFyM(@C5ag~48+!H|&@CznYKgH>v
zoL}CNRaI5?95J@<0sXtfS7i_2dD+`%Y>)4M<Nuz?Wf#<ZSg2a;V8Cz~gEA2Q>gw^C
zednve2jvM)`0T+mFJm^>+qEPM;RF*FdvWy`*#m(MI6YT&TO>=r%WgZmj$4IGM6dpB
zgXD_$kS?uck5A;|2j8eKZ+*D)r5?MTOaz_cMYFyd5L;tgp<wvQCpnOB{r$op$L9i#
z_FvM;29=v9d@*tx7W0~7%D1ZEb^MfgptP5=*GU`{7Zb%0ApN@TT_zAH$dk?8@#|Ha
z47MDb6w4ZtI`YtV{~wQ1cR%`60Cbr0{{8!e*YF?yOUjYQpLk5Z&r*%28r!Z3=hgo1
z1rYC^Bzlv>Dl029bVl}k+KX+HF@00G<84XF`o*2Mse3-HaEBk>wB6)%e(VFRf?ha3
z`^O?vA;$gU2{rTLj~YD7$8b)L#@t9rbHvLd7@h1<TZv+xCEk>6iF);48()pYl16fl
zt9yWAbgCgzd#&`#Q=x|M;m4lj;3iv}Yh9s8e8c|p5Y?9>^punoiIn8zu*&*+wkG-g
z`B$YXUVrcWalgO6KajaNS;wVwrDt*Q#n=N*gW7d+yE(^iy#DCd^M=lncby>|*xTh#
zq5NeZU+pm2g?H{A>gHFNWiXV@%1tL(Jy`+lHnSA@L8YXy%hxKFUf9Ri+&<3w9=Rr^
zMZHkA>hdP-x&IXq;GDTM5@lQG#9uB%R0!)GhzsY1&9TH0lM^~EUVNCAF>k>y_d-`+
zoVI6QH#0-Mdh_N@C?MUbJCCfMdN`L&qtS-BVxD`vIB==+#hz_P9yS&Ci=1`64mUO3
z2W?e#s{$Q(sbFISwiV0l|HEt>{?avHn-8~E)y|ol_wi$M06QShl>=_@$vIy84|LJS
z%El&~4ch;2(iaZlcOMZYA!~sV3XAV+JrNzU(?m)t`Ns82*RChu2&o%yJw@)0xAWCr
zk30S(x&nXviTF0YK!a8zF&mbI4jl$u5o<rKyia|A@^*(RZ{U8_#3KTM6L{o0C7wDx
zHI*I}0%$J3?|?UAA2`1pbN-c=-G^JD+j~W4E?-l6Q?LX$@9*qG9+j;>?(f(w&TaH7
z6ayrMh!O?{(7fls!4^8dQ)psgrIA=<$*^*CbaXc`Xw5x)_G}{X90OX{HcpRAv)3Ou
z@0Yuyr1ir4#3Qd^Nm0l*V<~pn0_~PFWOv)ul^@zkYnH*`#?fnnUuXKtEx{bcPjY^V
z9C;Y9Edg@z+M<>EgMi`UsYiSK4Q;jiQ^Q?dU7J+So*mp7>J18l@O;CJn+MKUAAORe
z0E&1FnMlx`Z(Rodyuwov5fL5zve#dfU0hsN0)fVR-HW7w4gFZiPl+@2N=f#IFqA#f
zw6)xmiWy%QE>6EW871h%;ZSV&ZntFQ-qnln7zXC3nY8xK*q=w<IAOL>D(#%ihHkaB
zn!}EZborQNr1NK3$qU8o`8wvE5uw=G-_O+3M)Il(R2TYW9e*NV)I+u&O4UwJPcP;Y
zmp$-Q1riIqt>9saOPyL2M~<g4Ilf;UxGO#8-nneAPrLALa4~QS`Ad#X*ffy7vAxWM
zMd22fHtORq?8R~KF}dSb!{0(=Tv&|6vv79pOswK+a&hr7^C4dz7}56>t_)ca`4`p@
zD;mu9LsvYqigqu$f)8Q5n#s<Z;;ZwOqBwJ%-zivWD*--#Jp!HPl}Pl6t$L&y-?05z
z>(~<v{o0Kie%rl_<Wn`WdM?b)KHPIZqInZy^xvy^zP%<DLX}SI%-|j3%j6r-WBi!C
zcz9dwfVBQGGmgp0NAxUpd2A0YG0i%1+Go7&K|w*my5o3TS|Vqoc&>stggkBE^mlS{
za>I_HKQv8b52)~>{rvpguk8;z^s=yUX59(YAJmFe-qhAIMXv3~2nKo&p@RY#-vbN{
z4KMA#<O9sE4b*k}mZlS>joBJ|n(t}mt@VRXWwb<H@UF2!I_=m>*@V*o|5U=A9<?vZ
z5v!q5DZ$0N?P;Vb?7$PY%!T9eBb`Sco*YpPe^XXgmUs2|LvXl>R`QHJxQgZOv9Yn{
zE*F2w+iSVSe;gUuCJLgXq6;SO$ioO;;h(D7^*&i0U`yq>h$XfS>^iX$@G+UX9m{9t
zl7and!QpTp(DPisr?<DOi?%S64gQb>$FX+BO96ay13|w4iRTeNyzAb&e%Wnvcrg2_
z#khl=d-NLP{Vmzz!+pIJUZ@DB5>j&US_Sk;j?d);aZC@#E%+6inVIz{gXk#;;;ev|
zG|rdl9C<Q5BZFa6?e$}y7Twa?I_$95ZLoWOpx$0&9XtI$<Qe&wUu~g6N@>}E1OEm#
zFNwUMw{3JyBROb~>Qg90-1XHh*&*%$0vu=L3WwVxtm9BY&Lb-e6FT~59@LQTaatUk
zu?eWk--zd!8Iel?+lZ~xQ#J|VEfs=QuPDv!nR8>@_>GCf&i;4U-Rc2{+vI#JJ&Zm|
zZs)(I^ZWN4zMFGQ4+MXs4Wz%z{;xSx@;`r1nQpy%IjN9)=mXX>sxHcyYoEpdiF;Yq
zi+4`fF0?6Z%K*CmL5xYkgUAPLkgqf(mL=zu_C#VL6{Ace8QiFCR4xle(chRg?jVQ;
z`OhEL8A1(|R`UpJI$RAr0^4V~1a@fitsZSWy_Gw3{qr2y(n+m|7e$SO@!~sN^-{c-
zm43s=V>e$?Zhu|FdnM$m>@7Srds@#L2Vk#fFxy(9MV@k9cT@Ib-zfQEiw6*nI+FAY
zDH(;B%xo3<D>s9GP0L92-#>}4t}gLUu9zKK0w2NK(9$ve6a%GDp=A}a0d@x_Y0c~<
z|FTo`+UAPieMVa?)Z6DCSBF<OcV_H~Ia|jbkKYaGViRYuJ_T;xZ6LoV%$>Ef&p(qJ
z6~WuVEwJsTV{gOe2Iw1-#jyF&AqO#!bAGvCBh5%zvfM+SkRY-@c|EV$9cvp2L5sae
zNy*~QBwetyZS%6)+Kh?|z@2MJ9H;tHel7l*`EJvH<~LS;Z3A$+jnSF^w$0nYv4ktS
zZEX_b`%{2d&utC#UFWwh5g=u?%6V1(0b7rS9tNN45a(6qyMx@iPw5WdWo(_s95*@E
zV|JJ?lebX#Vg2t!=kwR#$I%a>CVpuT>`>hic;E%%-th0|a)31PT<o1m+{WCBkt(ml
zMk9A&A7ky$iQoDow)Nj7wm?WgpzzG{0s@7rgzJcwaO5yI6*4QeD-_@HulMO>X5)F3
z=~s()s7i;0{o8K9fc<Te3lc4CIjsii#;siJHD$2;oKOCUBN>I&c`h4qg3d`Dwqi=T
z?XAtdj)OWv({44}3y~jS`LW2TCmhsi1d^tfMRb5f%WU7f_^pG3h~>>$Ja~yVy(|=k
z;-26islI-PlbEYuJF%5m-&!P2gll;E>W2A6>spG$1q>SyFbqO1^HNS{?jb*Ncx>4E
z-q8S3-bC%awsfkM0jb~bdbanU_CsO6zQvj&Dsq3l$U4g%u}xb*b~}6T@~ju1ex5Yo
zM0=ix9x~nzWSaRNzFl;u>^39GJ~vAKmc51vZG)GrNC=P1y%|fJ*wrrgx#aA(Ks=^!
zW$A2%HsgFkw~8!AE@*G_o*3~~eZ+TN!PgTgzUkxFO*plH6Q{TVWp!nUSC1|E^Ea))
z4c{WKn1%F}8x`6OPo6vwu=_N*!`r@jPyZbY@sLcvp23TaIhMUaMBUm#(o&bOaO!Zo
z5t4lzUb5P`C&3C)!5!ipTpw^t_Z0$c&~C5YIQ1h9+XRm6@?}u3kN-`UwOJS1#o2?L
zu}9r#?{4GXvHSSFM9-JEJLQ1b+r~nS?u62LWipoETwy&`Im>;D{h;}oh{}P;x3b1x
z{^q^9^k#4;Xl*VO`uW07hxOM!ZEv2Mmie@J;N$L$MFq?=O9o4Xn?Ah#>>xI`P4f!v
z(ZIey;4cBUV$3bbg%>!#VdnbQJNGoZSp?}!N1)sm#>S<QP85by`ShiU#Eh#e!7EkD
zHmkHA*1&49?aI-b&RmrS1tePf+9frSl%dOG?-UUs_pU7LGbS(@sc$ul-naS-dtwrw
ztS!B{gT(x!;x;heoCKBWK1VBHh{CX>Sxvi-rLlUFG9W~mycAtdSX^6}Ji^gJSk>)G
z%FN=s@^^vLHV`EprV7zIV4vYhc3ZD~!cdvlz~E2^=IM!+zOmtsk;)9Ad2fn}iY-1)
zqFJOv^U*bGaPv*Seq#Nnrm=wX)>Q3bYPcj!f2{9J?~Y};S@XON3QF?j{T^-`&TRco
zBgWZAU&2{#;kNg_aV1gIo{vjs51k>mPxP%#+lpVcorm*RV3uhIdOkH>wy+6JyLRN<
ze!uFyf%Mvp-bs7sKa>5~>mvxLd-*(;2Vq-p3}OGZe4=!}>Jtb5lJ5n;qc!WLIQ#=a
zJ>z8a-xVl|0U9Te)f#dNt6GHcew*O5O0%_xoiXBV9mth~HTUcj4T;%-Ps}2gPX06_
zp8nA&?I}MT*sK*BOkxA+P806wAubm#K~x|m+bXfzSlvjU$mwY3TPMx}m#eaEea8$B
z`o-;y?D_Ju<Ef-6i^Ki3WJnL$9j(##5>2Z(kyAFhE_}%`=!8IT>S?OZ{kYZ?)1Vf<
zoG0Gr;UfHBB==l$tELq9G^b~ac-ZJQqQA^6K8_f;v-AN9BmMHhnq#}MB~irzt4ZpB
zWWfkm|Ksp3TEVHenByJ%+#&F}CVr7FGs~Ffj0@w$n{SWDJX_j#-urdc^5joQ(^3A^
z(syY<#W|DNA$^NqhmVuO%!UHl`E~M{9_M>2XyNG+A@{!xT<LqQbueUk{|SMhkkoZm
zLJj+0{lwiRL1=P455kS20X0yz(ndF4lL6vb^NMaCxI`=2oyzSYa}o&T;>G91KSaYw
z6BZ|UZ|QiR9x+yrzuR{3AA5`J;1vGWlznmHmz1Q^=0%cI1NzJcO0!cHSn|oz$j>hr
zMw5(NuYb_G%u0G`=YNHN`O>6e2373SxEn+}WD`a^bmHb}T9)>Tv1PI4ATBx&C8_Z9
z;2ksnq+qYJbAOR_qTo?x(E+OcLmaN|fx|=tDe5U<#E8s=*pXYuDnXTpaUuwRO=pbQ
zr)W#I-iQ{X3wSHb!4l1)Z}zu#oMXj)8ES!%-qA2aZ7&-0uYOp!G-s6CN|qDr_Qr`_
z7?Y8{c8?rBDt-O@{>~+ug$?FaJoqaUumw~6)em?g{4RF|rXrei3<&u;E&V4Wlx`&)
zqa06<@`<wLO65X|4gI(qlIn;J(Y`t~*}r$PbKmBXxFG-jxO3`m?dB%Z`b7dJ;uU4=
z>_z*_rXQ$7u^IlaGv2v;twfimn-w#6)mhD{ePZ$}$<{t1PT0H*#lvDt*oPhW4JQR5
zH6q4GGHi8gtP(WdBxo;^i;BkrNRM_oXK_TiNO}r?`7~1H^XcjErIS*jqkP`UBjpFH
zu1_&(I;T|fVm3}rE6iz*!^3tdpB(nNgEEl6qKY|nJnZscf5mDn-E9&J@okuzXo?g2
zc4lwaf%B27PJ|Yg`FfpWhJuRDiW0m*CBs@l9Xar@rKeTUEB9mJ#lLV?C1qOv)3orB
zq5zW*!$a3+%7x~6%)FCc7lK_PI`x9C1~B2VF0h?IZ5?lZ7UA4_$9316YNtJNT)rR=
zkya#*RXu25Q(m1-NHXq!KtrK}3PRlBwzo%Ub$w$7NQvm@u&%Gq9I+hpgCThCuHp#q
zdOeZt)RO}0k!4!aU8|o7mON<gfxD-6bA0E5eZoSMLa5Vp<=YG7?rD!Z`3YID>*Ipq
zk}jpA(IF7dD9}m2-;QIxsp<AXLzVM(YoCS*ffIiWEkDA8Xy9LPG%jGE@hyr%4JIO#
zzVfI)K#4Bz@scf-F8yPfyYyhM61HjsvIyVH86f(6*w#th5d-HRQXTKM?RZ6hbYq70
z2)`$;ueSYL|K$t!c3s>n;!y`*pfBa$tqwZEzi^<OAkDt_w66uw_$tpL1I~C!!%9h=
z6H!7@46X#hmth;r{hoNl=7EY5s&rObWly^Dd{e}VQs>(z9)G+U`QwOMze0d)xmclu
zEKK7*n+NTPMMlOql;7(9u{Mj<!it~sY0w2ZGgxn}@@L>jM3iYQ-8z!Ois@N+7WCSs
zAe3V+jV9lGK&5bEthL@?3@3eh9AnDkQw<{Bq6)d_=q?|7vV+~;Z<ov7P<Nf%+k5CO
zSNQ3<+Z$y5>q3k_!76<=<Wx{%$J?;^oL0y|zi(XVADQXxjw<q&Mx=hT!%qU=Es0qE
zKka=7RFhe|E{F>12zHb@jzO@2O0Q8-F@T_8Kxtt_3B5`$(XlW#&;TORL@Cmd-a=3Z
zn1F!N0s#_`CdAMo1W0n<p!1(O_pE!@J!hSB*DXKGS+2#zFW<Mnz4!aP&-?D@DOR57
zdcE6kMKEw8KZJF^S-b#+U&<lIWrwI~<Kht?T@7gUHQV~7+nCsSoWtr1a=cJGP1hTB
zPL7k=ajL6;Ix>??pTVb`?4a$b3QHf2t1KrT)h1RZF;;=7(yORR^|w7TqWj}*c1P*R
z#`_%H-mFn<e7(L!?bfuS(e4X42nAs`u53VwZCKL0T^eFnJl_W*9kET7LCBuJ$_4YU
zh>!(eRo7;7Ugd-Zt=<T54*cVj|ERm(9R5>#&-Mq<pFur6^~EFN<aomg0qVsY$cL)r
zu;YA90umo?ws&@p@Q!}@2@PzydG+n(&${J`H(Ty)N#j%CQyrdVxi>+>vbDL-YOZ`|
zim>JV{TkDnRA?(9TSp(+u`vwTa=~2>Yh?vF*S_CF4^fpfvaqh^w*jfJOPNcRr*$j$
z+nTECRf}9#*__Yiw}dv#^ix7%Ylg?(Mnh^F91;?8?2d<>(13&O;e2TiPfN?5HXs_0
zB+x$sA2zBM&K0YlP5_xgP5yKNGTPi6_sY8)$d_mV)vzt{ioHLm@^*89&He_I1L^Sv
zK|%wRE$;)gqoKz~OH^%xKO%fE<YDbq`3J8y)G%*ts5w$qEq{y;=x?i^R~cdj%aZJ3
zAi38BE8dx60~K>bhY9D_FhWNiTT>bfgEUrWCIY2d!IA&$u`yvylSw-y+z+kfOM}1s
zaUXf5*r}t~IywUw_6{-`BmAke)Au7tSC|PvHxH3tjd(#$LRi8E_+S{SAdO3GzWl0^
z5|s%LhHrl(6V47c*NEK&X3|(_pjGYx70#G_dv?;_@UL%u0}E!8qGavSH_-kgyjKEa
zW~MS0ZEkbF@=z)C)`zrpSCp27RZ6byr`I%{;4e$}W{1C$+qieFg{9@buBzNgiT?W8
z(H6|Hmx4d$iPD!xf69pQ7_P7_p&M2jSE)dg6<5BCJNjBXnpP>@A2hCHjGfS434WLO
z<JTK3ZZ0h?8Q<BmAiOu8mNd#M7Q!E;f_cC7?kHy`r;7FdzChEPGtE?fFtHU$Eu)x?
zd-)_jO$P#PC(_u^P;G(1;G{gz$rrlB%YMG&anjY*RV!p^uJ5LFou`)F!27%6f-_nP
z>;Vzn<+X;51-t^#=3H4z)!|UeRI7)Gu2}wHozWY@oCt0accs{G@SgHc5oJ~Tj(8;(
zjvd(=vobEtIhq1|?A#Q{sighnn2x{K`}-z;C~>f=)xujK=XB)}L4@dtR}O|kx3-*$
z!M)!77o8fH<NEKSQ-z+dJuI)FfFz0(KCBd<eY55Lb51+V$<`@3)@J#XOQ$ahM`6i{
zMIUyDbCYxecP~XL{c-kEjU`k{KDW2e5o>nBtHBj1_)u>5$vvo85t&XqA4frcm`|AG
z@gB$e?=+LMGBY=VCPY(H5FgOPxV?8gJav+gF3{rGf;KbjEGa6|vM@DO%*f4k%ko`5
zIzl^hajv(dGm>`~-6y&v7e9GK=!(5DA1n!aEf@H6)<S34qCkz!m15b=F)EAKcbv)5
z?Z!&fw}?Rf{9gU<8~x*ea$2`rJ8;f?$wKzQtI^gyRm;9U$UFJYO9jTaJkOtRS_BqL
z{Fbr&m4a&w80CgjLgv7s*1{o7opnc{mSX_z;69#qc7uAiY+{~%{l;U)uUgW9-Ej0@
z?JnCVV8h^>aJ1mYO@34xp2?<YIyKMx?4EKGoO&FC;mkpCxoZSvg>R4Bx^rqxl0Y3W
zzBvjzHpVHaC@Z^Cg>o*)DG4a4s!qOzF2mxSoScZE*#IcQH)^QvKJ)qAm{?Wg^6{HD
z*fhb1wO=;#+0{Mj7Wh-|;tk`V*zQ7XDU>t>p@M)9UHhXVhd+DIYVwTlx#5KHU{NOD
zZXRoSLcqhY;uvMu7d6hd6Y?>K7CIf#=#H&5>g84wH-4To(Ymw6%I!zF*rfDq`%l!X
zZ`G=^=s?{c%F51mK{dK;&Ft*xDCX^2>UTV@13AoXg2h$`t&E8|85w&DVS*Z*5}Fi9
zjE94wecJO0xm-=zJ09<NA8;k=1k4N(^DK%Fh7bC0^boA!k&osuu;=7smZwi7UHQJ8
zTf?1Gn*00SyHzqe2VE!^U!S$!d8%xknp*fEcH`Ys4o*&#-KQ4)UhWMa92~oT*3Hzk
zO{NBVHp#fs!Fk?b@L|?ho1oFfSXhd@nu_QeaZ3w}P@R{8Fok&EQKYNb&$wMtQBjg%
znjU%-sKT3?w^aJ~^gkFG86k*5>Fc!dJTR~#Yvn%<d!@^RL~oX)A`CnkNYpbIi>jbk
zbgP=u9giC5kH?5V8h!fXx^^Cq&EXpyH9dxU=@H>q-6SVG&k5{YCtuAd@|JH|WuY;G
z@rmf5R*wVDlIU`vp*uyGY6ymZ{JZZk3xSepxcL{gryuo?B73ylcTfxWfAHep$ezEI
z()X-lO!$Dw{ePj6w*7_Q{(0g5KZhcEGn4P01w@GJ67{lBNfYzfk*_$l`zZ2`2Lnn}
ziIbT&ymbP)6Ii~a&3g^`ZTQ?8MrUa+H2o$ja>qZy`t}kU2-<sR`>phw2CxY7Di2!9
z?GP52SR)LD8Drr&^&bQxWASY7Pt+~%F|Xy8c3u!LTzghPP(V}<YEj7-)ZTh0{HMaB
zee(T}UwvJWdteXc>It3e4N)u5SUdweXQcq<{KFmT#z{Jvb_s9-&HGm5O}#H_)Y8j`
zM_$Rj;0u<1&eyx<v?P6KmgRkGr9H!xNPtszozNv9G}W}_Jrn8>rHj3wk{7bKCIuBK
zFZ~GnJ)6Q8*@<}?DDhBG8hakreh;R4t(Aq`j*T_#at{{Pa5j=!f1014j}a&;E|x5G
z`24EFQFC(*3-F&u|J14Eqkzh&ZOK_8e2wrOgTiDt!RlaM8U3ehez?f;oh|b4Onq<)
z&TY@X`c6gvplxR^?mHng5WV0G;#gfV*Pcz}Fb3QN`4<D1Dn5lR2%LZ`u0{DvocSCt
z_aIaY+VXeq(faNCzLc`{kDH>;bwZZz@QS9oLVEB{;#O<S0}DNTP()45s_>McB~@!>
zw&e`hENjTuZ#kv5rb`V*wU`ecC`oAVH_20K$ilE6JDt+iM`bc%l${&zCau8=43DM8
z+`>sIJGFCf92PzEd1!9f&bm1AKZ2DMgO1vQE}k_1Lh}!(6n#XT`J!?lnz~89r~LMz
zI*A}sYicYT*W@g26TF=Hy>eY@?OQ%|$RI{V<a!cBvs8#f)|ycv`eK3mRQjP^ZAN&K
z25~fsC(R}1pToYo<BZ)Yp*vf|DxI#izqyzLHL@p%2lKmm`#Fq}hEQ4B1v#q?TJSJ_
z*T*n_^#TMyrZCC}MO#(AhtMHWw)S`Ua5EsVUu?JKmsM4*tbi1F_IS(fVXyLtdt1U8
z#@0Nz7h&zSkCit<d0Lf`{iRIqL3m>(LG^nj`lZ$b`S4e7n7?%g3LWi__Vw7e;Qkc8
zWnYaR6py^&EKu)eHO19fd*xRs@Gr~TRQYeuSMPcZV9%W4LMh5%D_YT5)c-)Wxy0$O
zIAgn3u!_MeR`pNTFgM<Puhw4x9Vgp76i@6p(~_#_&tznV3jIo+8-5)!mY0@h9}F?~
zagA&YNMrbdMB;U*2)>eA`U0XANo$_NVNe-3pjuJ(_U-iRnvR|&Ls*p9OYr03tj!ya
zBw7w`-lLUxTR-)iaa<>k{oGSC1evuU<?Q%k^QG&&QZlErw~G7DuHJ3;7dOkWG9>DQ
z?H__wk^ltjx2%B|e6*ElRa#P_gKrt-4;PT9ziR#tky`cO&Xj9z!w9aw2?f({{6nwh
zD$)rbc{Or)FoBCZBvHsU)WHa3Xj4fi%;wf94X=rL=X)z*m90NJI5<1|bC+qfyy1}w
zul9I)T!E8;n2}E&p=7B_B;-%bn0|wmTbW>ff;#`t07obakHl3cJYVvw?eE*|y2(=l
zx8diQ#+^aVRhgONLjCbp@_rgy0uM-?65>c=zN4G(zzW(1c27-gdH)-4LWb~4j?iCH
zzVncoAsmJHw&lG!zgKzh%7O+D*h7~P#)v%1CdNWr({sR8g@7IHpwHk2N@yUYCK3*i
zR92=}L&9<pcGwZvL{>k<Aj=vjt}sE&s@7A&n16x~UW^$F`WA#q!(K?KD3Md&Z>UxH
z*VF5&JS8F;;n$B|{oc@^zwz!GSoAk2wFO6EA0hfx9d&AdlLe|HS%5KhR$<th^XKDm
zGVNRHr>EzR?<>v77~5tGLU?py&vamg#D|z$d6&@WrdSQ1@yzH$<~BkuF3?TD`a8xu
zedP1hgdZ^|KnOO+WvC==nz9fY5bmel>U&W8<+tW}=!c-B86_;elY7w2Ke3i_^M6*d
zwLIcsb9fgKS{mdYyc&kPe_WHi_l^K)jjmAs_N|S|HV~{*7&ZUvJ)s_v%BWcJi;92s
zM>^_V{lSR+6H)#DiKza|aQ1ho200n0+$vY&&V_X=;1okR{@@i|@3EMVuC=wbxB2{!
zu%IQd=pyv%#;G+PraDR7PS|?MK4>hjV?<YowrOv?kk&dYi^IEceduo9X5%5c+Nb1I
zBXV#x1wuH6slKwG;`Kzr&h0ETU|FMND{H&v=#e{9ymmls9Y`?~G|5>R86+~9EUGJ{
z3h``x-I`^7(bD2#ZELw5)YkH5Xv*;oA6(1>^w9n3Q~q`j4G(MRagx=D0m&ybbq{Z$
zf#V-|F_8BsMETVks@wyMThc>b<@@xYJEM&U*<R~K$UhuhwC(3?c^@~+T6vs6S5{F;
z+!Vi7Yg_$vb?wz-5QW$FFC+M;kDO?KYXn?@=%2<38uLAH7S#F3u7?qPw4e3{6H7{b
zAGU<7=6i-Ol*VS>`Mdr2V$HOz#iu`j9@V6v4vkX{v=e(6W28PDWoKz=iQ#a2DwowX
zTYfWIBrbovgE(^F`a03fyH3e91^K65ox4?h*Thg0`^)=wYw60xe!E@2nzMelywcEk
zA=PA8;*80Y#}SpSuY_LjC5<7Bw@P14ef4B)<BSP4`O>x|{R3(CM#mLLDahtnUyYAJ
z&DXr}lgwH5Bv9nCX8K^5V<A3xOs;odYLqCC|6o^#EQjxBr0(GfC!EJ;WMn+#sms1;
z>l{GjWs~VG=Vl%S5~@=_I|Mt`jfEa0xx%UBoIT5M5Z5P(GnX!%IHZX($s^-ZqP)(d
z(a37M`tbW5<zBo~f&G_mSTyxp{~3l{8JI+<KSuy%!xW?m3QMRV8DK<V6jrGig>av6
zA&YA2p`rC;zpQLlilme|y0|bilhy;M^wuD8RfebkhS%z)K!;8jPBp)d3?AMm&H5AB
zA{TfSe+fPRxjfvt*di&T!wJN%uAC{A31EO&wQJxm_XESRsBjl*6)W-V>!)wuzKz+h
zu0SfR2sk3W+*QA%>PoqE#AZ9+&B$7J4qJ3NBCXi}j2fu}Uo9XgoJ}_i%Bz~4ExvN-
z%Sq$F);-wlAZO9~IulT<sx7@cutT<=;h+-dZh!|JkC$ODp&!c)JKN|j3Deil?|=+S
z{&_hL&W#g5Hp6|lxOmVRy!iP1QUEF!j*Kd6Y4uV-v1?ys6}Smm>u6{Mro@p=&>cs@
zM5IIARD0I)+4`{G??FDHA%mF~egfe=-Yx!J%J6@y(<~X<ti9MF@A|sR4vFm8B=x~Z
zLBi5H!KYfTpgTq*wODr&cc=}ltwOC|zuxBQwIIAR$ggs}?608F;syr}q<&<{J^&nG
z46-*VghwCP3ydB=CWr<^;;Yha@`&0bYc!ew1|hxAd6FNK#sz*iZp=MHbihZV;s5L>
zsiPJ^M`<D&GB&L)hV!bTr;%iONR1^-1!bNv5zRr#Mzb<lqbn!VY0#=(T08K@l46y+
zZ+DX_ZDknIl0?9PyjbGU7nm^G2T@@7fg?nD`M@E|wn+k$S_x=FN$c3L=~_@c@;-a^
zY;|5=ZIp?Q6}kf(69oE@&Z9~C^mv4V4L!7Gx&rGovmK2NahiT%FiYrczmAe3=PcOf
z7|IYW(H-|~<bPc#ymQm^lcVI6F#N=rP(g?2?CWVvTc`u&_9e8BId=Ud%e(lZe!yw$
z>_Y=}EH;NGf?%aux|I(nK9sL`1L~SECV6nGoUDq!210%ATK-f09U%LnfSQ>YwjtMw
zVuC+-MS$d;tF|-wd`rgKs`xc-$fXulqFp~Wk6{+nLJer+3F>V0Z$xqi(aU*dSGyz2
z_;#6E(uK31I@#LxTPJuhH^Zspj@W&@=kX*GNmC=PC9W_zGf*EpTap@I*6mU)OB#hE
zz+h$sYJw5^t*Wz_GEjs+_H<|x0O0tCRh@vFrj3rOxBVO(-sE+=a4zBxWo9lt22#Ar
zHF*h}7%*ZEOK1Qg>JFlPPvKF5K1C{k27<d8IvW1E{H+&6GFuG2uIHEq8IEj-!pf!Y
zh<LF2ibs546-tVU1^x-T<=nWT2M7hr!*HvhA(fGtX%oYnEx2lsjPurXb(H`|AOkd7
zbU$keoQ06(UFBJslq>q>PO!nyUQlrp<)a*3SUMdPErL7T1|6?eY?gJz(d;O1^Y94N
z$g!V-32Km)S&=e3SV^B>svOB!Dgz<B(K!*&o+17k931>IGt&TWI$=IgyUE_WV$mb3
zqXO~p<DaguE)BgP)9v$Pe`IU=etZ6gOwTiz;psml0K2B{zsx8lYLK3S%)Gd{R|4-V
zYsLnOUcA#Zz~Ftn2|&+E6)C+3QPXxf`)_jr-4Tt_d3x<2DFKxWm+K0EBhnbluczSz
zyYac1af_UV!e!=UQoJ=4{Aj?y=|yIy8#K0x8_yJ(G^~TiTTXYgl3RT;r-Hgee0=e1
z6N~9-qnC1eD>~UX2hq`1>==cL8H!sm^IL-IV?=;wDdl!?E3!PajdLis%spqBKR(cC
zbWauU8hqO4S8WFPKE3`SBBTA6&dNW3@qK{)&mWH^a)p2_<<qAN7?4E?#)IYCU4*d#
z9wZCg!DP*?$*&h;7-ONwo%jn0^wr{cA|HYvzeKHYCg%o?YS@Ef3dlxMFY1>okyP<k
zZ4OF0O6Glm1kM}+1WtHbE%bWN`@G?(ar{yg_bv!(OW^u;3h%d{bss_3$P0j~;5-}#
zQPw{oEtje#OWK2yiWwRQ6yV-TpRfO@Gcwbtfb$0}ITQHrkAV+iEk-k65R>Atw8y?x
zfC(75;(bVsQr+-fE;v<#v4(2Wpp6103o9*kbyj|=grbfPrvMQnQ~nxE^B^iXq0tG^
zzUM%2Bw~Mty;K`m4HO_kU`Yn_aM;VT;*aYjQ5?$y!wCR1M3#C*BsJ#75$dDy-nrTn
zn^rX*jKtIXw(<7K^NP4!GJO-MU`XZi9HruT2t#xdY|Jj;A^jfp00$`gJQfjfmS95z
zpC}#W!B0v0UOm~@rT>m!5@xyQ4h+MB4GjiC<n8rAA*(|+HV8vjY4va6ibDJjS=jCn
zq@kf}(M2ByGc$e7(DOl1bX5OT>$WP{ozBlc`6cl=0%FpQ-1h(vVw*<_u{-;o4ZV+T
zJQih=7(4VQ&u;*Q=RuNZCe4RZs|uF;R%IQGe0Y!72%x+?p-G_yP5qCei4ZCg$IVM&
zZ&3rIyFX|~60BsT`U(iLu9qm4w#3z4Cl=$lA~&)KOes!SI#t;-+p_81i}LZU5oNyq
zT+a3iB|CWQVWT?Ca(DHoqic<{_$PnK%%oh_2Pv1}+?oG01X1?hjaU{n)4Nk@6JL#(
z|8oVh=L7%Kv<hsrNn%INf|S|(aITy3dgnI^td@igS7i-z%$9?<@hilCSzGn+xv($9
z6*Y6#=hu4a$Pdf*F@3?aO&Ft@mF{H_w;4yt>%eyX8h;IBQOE`d%)u^An@tUxBsfEr
z=>w=oV<g1HG_W9Cv`kqIa_8Wp5KD8Lf1=Kg9#lxxdR54(O)XMYQkwe&BG$JM#2bxA
zN_)LOpAnspG0Dx!97lr(#L`*33$2>{SWrZ&Di9=0WKdK>ua303*HA%Wi%!puEqphn
zX6k9n3x)WVZVRSBI2ofPB7)@p8u69#=$%5a--<|NRlX(Tokcgzg=5S9R%rYckqenh
zV%LEWH7~YI$zS#InhA$G5F)?^ui7M^mpOhQA@6c;Nz?*(I|ku{b3Z#&AyFW@xA+DT
z!UIDU&EUhb9}p)Ejh@fW{<)v<t)MYno(XOMot=fgeK(3M=td_*4T~(ci`w`P#2fVH
z{88vfRqDtou{{#<rFyvzH(JnGp`yZ<7CT)2yJCyhY!*sbw!CcCwn&ht%NUCQvFNv#
zE&l~Cc;ah0J9DB;R`y8q*3k2qn|@nCz|s^zqdd>7jvLI|v-Xn!$Jc>AY$-smU-5a9
zRKjxPreZ}H;U}<|o|)wGOf*Z=m`Ons<=iJJU?!qsJlO-ON(I6=r^CtM#djsS_(Y>h
z88LW3<Nf8uvx97YCb*Ei4J1(Y!38B%l@>h987qKUN;|5fqXQ9K1{9&10||-th3eM9
zWq`WzXY7XnVyNyfpR8V<s0<z9G<*H@KSBu+vtFz6yQW<Lu1X8Py{l->azA^K_J}QV
z9Da&H+FTT#=Q`dP5v%Wo#nWN*eW{?XL*At^3KB5e@l_ROS?q7TT@D+gD)tzRL8{U+
zGkYNQs*BXhiSl{}PsnjhC9j$V#xG@0L+&Gc3(Ke&Q%BP|?k`TZWa{T~8bz%GTuUiI
z3(aw7@l|EKDKnO2MReruH193#Wb+wmr}y!k&p@Eg^zN$l5#LL_4gRY_RDn_d`~?im
z|Bd5uiEH8a(j27D$ZkaT!XZ#fj4Dtkl|}~VgDqzc>_8QMxpqAF4bZ%nOpP*#1kpHU
z2$H(q9XVvWvGEKUmH5d)sk&Oje03_s>woOG{tdFLY6wAR4-5;WMvWrW_mKwiR@%zS
z^GyIFo_E(<g|dc4+>0$RASRTg7Q8ssjk1X!3IWuskYMe%irRx=>)!ue%QpYg8mi20
zX=&UQd?UX1vr}=iyOLNj6fE>-nh{tTmIK~t<QViTDHybt!g48P(1^GKNHd=f5u;70
z>RMVWFI(83l6CWp@ZQbpqm=EQ+PryOlX0@9@^_FjvOuHB`$_HX?X^7gZD7KaP%ndR
z?>LEu2ndECf1JJ=-~l%|*HuTzs?W9oN%0}wubn<G4dVKy=#GaF4352Rh*=HO@uy&~
zSM%tvVL7(65`17E3bWrC^PQ4#hNclbA~G@(?S=EN`UfE)?<>x`CAH1|e^UN+gty3f
zhG<Dd->}4!!F_?8hMflSu^(|B1UUBq0pN(A#cO57NpiaCb$opx*R60X*}zvbUNI0P
z*uwFpcdh36d(e!JmhOc4r+rS7^EB4T5~($()0W}VQ#7`f+#5)*+aA!oPcPh%J!j0F
z)0UlyuemSVZ+#k#9`#irYMBSXb%EYNl-rJQAiH6Lsub~85Nq0ra)TUbRHi&L%BzDn
zLSQ}-VK_qtV_O#NQcvZXEaUXFw8Wk!6@I?U)|RSThlxnf@6^LxaaDr7lhe2|+|mZR
z%E({L1FkrfO@@DD^i>_4v8GrEW1VE#bw+A`0}9Q^i`f`rXhFBje#Ui)iBfl3btS~*
z#Hb<d`9L-UH36}9C(P421o&3qaCic|+EPRYFc-Pmnd8c+W>f(rsy=zZH;%sRr~-jh
zBdLf9%b1vic?EKXxJPeu=DbfaVbtCKa$?~?cI~0}C^u{L5t|LR>;6IqFJ_&00Qr}|
z`DrrF+7}GEaO$L4>?BABzL70o1OdYceLO@X41m@?fTME&4w$(>Np3baGz|6x72SA9
za3`JpHiT3I?u$@h0-)+_zL%+h>>alK$!J}~*U}}4>`Mn~&2{^geqMbQem?e7iAZzs
z|Jn*5PCk_Y3oQ&n&A*3KSYUm5sKB{BEVVjU=MpIve*M=})zt&^u(JW)(dOv+sOAw@
z14l^m|9e`%9Nm$gMhER_JMiZOB-s&`x4P)lcfp%!)|&m8w_iPe=u7kM&r%Rw+4gwQ
z&#t@bx*24Y6-m*>7K~cdt{`ET1F4r^3i77=e|aEZTV;?BnrGsWh@78^f+>k5*eHOg
z8US-5LcQ0iSf2EYq8IQM;*q_)bKurUZyZ+r9$6-U4WyLFW>|2-tC@lxNXxldr5da%
zz#8#OwN<W7;;xJ~ws2QkxC6<$Vb%Dd&oHUH%<)VqO<xxWT6GA`=IbK7e^~@;&?3k8
zGk`lU2VYi9^;~KM#^c>OT2AJ;h_IB_;s~4&jxmw%0f}Q|Zo|6O5#^1}|6@Nj_t7~%
zg8i3(qO_`HFZAS{o0&0b7(vjCX5In*ES;bf)2YKH0EpYkE-KPsIf4q^OKQVkgSw#j
zy|6ILJ{@5*r&MMyyqQ7gVv6m7>pznsWHMyR;b3wc9K_^uU_IG2G7MBH-yRJc!#4Q>
z0Xx9nMmSD+s8X6I^c`gq>Uqna>-zfhB7J!7wWX_=_>B+xll5*9k0CJaLsggE$t3cu
ze{snh>(*y6{3pmAi-a{bl&sZTSAu&}RZ;1bOAUS*H4~439MB4%1shfMl{~U^VXsPr
zl=jjy1m+yXCFIj<)}zG->)+|;3?*hks03tfkQ!CGzg&*gjcV5Sx_Dri$@_dqqXKbd
zpm9vElu`x5!p$>jXnW=*c{C}S8Ue-%3L?EhH0Ht7!^_h2%8s<RCsniOLcc9^ITTxT
zoMN0O0!@WE()sM|J15P=<zh=aERUbF$&-d;T0&=H)0+OW`8?jREAbNM%uIO$FTJde
zufx$`WVK}kb^7F`ieO-2=@5EFj-;;m;xXrEJ|m3JnLML_aaJON9AmOzc>a7Jl}6(d
zI<(*o$S|$Y=*ZM4Kfuq(&_8vhX3AxeEK(SfS>A%y3zrBmfjsJiNrNd*()r0ydJHAP
zt%&trw0cTVR#p}V?h+3mC-%!2z1JPi4DAJ5n{L4J)@&|wy2#Pxlj|XZbfvNiXfqO@
z1yuK`eb0{q)JW#MU*%uWtXnU8N_B!P|2V-1wG>{snXlqR%_eIVm{q`wRjQzXVw0!B
zT1rMh4_(W@tv6&aK&o1`X{FpIFK^s4-{esFC<Of3*dp%qJ`@jf6Ik7Fvv*q(;^SB9
zO&T_pxb;<p!g|(=X@w_I2lhA&wz3jE<kDv%ZmRzz?jp7po<u8f&Vd}$uAZp!cyono
zDs#~3(c|vA`ub8dIvPPfY)0;~%{ek3s=d`t@aFdVZJR$`|IPvA^-(n>Cz>zdtI7+H
zINp_6oPx?m0zxqInv+xJA@0%gC>5Bxf;_&GNaT)IFZWF@8Enb2SDu*exaQ(fk&)@7
z#?z*q8n`>YM?C(gXMw~u9!~0G+->~YU+<%U`_~&i=<<&;#`f+5U(pG9VmcZmbDf!|
z5i7Iz9STi3dZ<uWa9<Mydw^i}6LeuzP!)LbK`4D+L=;}mFll%UTuHOwD$Hq}%}qIP
zce|sYH7HoQuFeoXMM6P+rQ<QYNM@6HOIQE3{Ptz#E9|!dHTSQtSGWNcg1@1Ngr-eK
zh7m7ImE)R9Wl&iifn)cb3Rj~|DepNZ+!D5r6#fxZl{h5W%DMOFY-VO4jkm>?fMTeg
zRDDKFU)tMu2Q9|5tHtaFLsO$L#ynP=E}DsT@i=~YoK1O~$s1#^Otm&cchrI5%cB-_
zHN*i@^T-w1Y|~G#|5X8F=5$dxkjtAQt)R@&^61ecL!ZI;qe-<B^+3O}Od4dw;jY?&
zVuHUfW6&KSi(3#i^8s+q^0|?KPtCz*6u2L!%VX>^F*~~w0|mm|N1&}=3{3(hy*$SH
z>#gKo`v!nf1h^wRMGOQX2Yi$X6f?4Cm!{DKTRy2jcyprd-NcPgnms($p}y~SwF)|q
zOpF`)7`qH)`!J7ecUNB8AX^E$RThd0!oyH*pr|**Xxr~{_6A6?7p`j@X;liI<_c1i
z$~C8URZ2%*gVX8majaQjo!=t3&H%4lbfC;&u73b&mPbwk_&)Lc^Tcm<b~3OZW<QJW
zjX0$4CPP%@y^Jp=`uG(yO3TGX9awk|Q+xAB59+OO6a)2-*yQ7UMtq9?$&Hzr6^B51
zc(es=!z*=oFJRVmHcc0Vil?VS030Z~okxf2Le_C6=F&4|`)958h22&ASLf`~VC9<2
zUE3z70~mlRz@JbT28A=9{beUx=gJ$HWZPYz1_jI1AMvxg1ccyzo)e|uXco+S{N+}5
z#gn^rR<A$%Uwr-fjeRwgs<b4>zmI6Ur}b98#;Y*(x`&2_Bq2FK%~T=WUs&6qJ4`jW
z6`?&J*$^9&Wm9f@cxAzKpkC2u8KbB$7P+x`Uyj#(#P=A^B;n(`LGcuJZ|0<nN*t4W
z+ks$%e1-r%FQ}at&s(-F^R+$mM#{edFEITBP$(2xI>?w_(TUA#+AW@aYu!Zsb?MSx
z&tqz8i%}*Gc9GwDq0~dzbV*s|vUg({MzkpY81qj(odOW~zl83v7-R8$mEwn+j>RUj
zIzV$<jZ|w{>J~BtDf~p@6{=HlD5MNLR3+xK)kq&C=0g%>pI|PcJKR5VHV$lXYa?$N
zt8k+Zidx^ehy$Tpo)~_x>Qd<+uqhe+9!(wW6BAF3qJ6C*`rHqLJB;1gn@7VchvxBl
zd=Y{-2_>;KD4Jo+^#g)HOg70K3_fPSYYOM=;NUO_vyygMzx*hP%#)oa6;B+BKMX?2
zQpbS^u>c|jWm5tZk6XRVwORE8{nbPHaT+wCpH6S~)Gi8ZYtx^ohjj*CLNmR<$AnG>
z(KO3&Tn>qsEkfpDbs?(*JWBN<dp|oUJzEi-jxKR@$rm#VMCR6YJ$D4xBhv%J4G0=^
z88y;+fsLE(gkf}UEXSA!edEjbU0apE5nurB15}YtpwTg4da6mE4+I+P#`FMSKh(2w
z>Q#abmxL(w4Xxrj<3PQ-etbTVH+5sEaJ}V9Pl@by{fTlIct_bqFx?~5=lz=6Rt91A
zCK!zAsrJNk#D3v@q#oY)UQ&<20e5&p(==R6yAx9+OBeQpAh&1J%PBpuk|ZJ^f@d95
zu|Jr)V#O;bYXbLtXlbeZ?YsL0@ykBN^}>A4^}3z5J9&E!RDXxpq0!c{L)%el_}<u|
z3MgSFsDejU@o>o%{fy&G-IGi9-zF&#vaHKS?K^`$L8p{cYT-+>*XJ*1$n-_Pd_I9s
zIyaMxz@Wf~pc0MlgUvr0b}j#Jpp7CTKl(@3=lyW^llAE82*^XJPk1(Ws=4`_)h<5s
zAudV&ryx$*q!@(yv!UBdo>sX=m0Ys4o_H2}&)gFBC%&2k*(IIuEzj$@hMJc&pAB&@
z4_1FnRUlO$*zobRWg7XeiWyz;>wL>@pqZWntE9FkA$CZ#O}L{|CZKPF787Trd8vAA
zZ6cU&*`9$SRSoG4HGsR^yu2MBkNd6Jy0O*XnG=CP<3)1<BLZJbJCm@yIt9-@JN}VP
zPXH9>1T}hyRcAv0XRA2^fps&oDFBt&+YM9iUh_g;tr)l`@rnEbev(Ei#P$G490&+-
z`Av#+IX7eaP$I~OLLarEu~^9{n}nfoBXL~x5cgxR$XuY+XjiFUD910Lf3JI6UQE*)
zF21>1ME<P;R<?XUDJF8o6yJwR)S*A0Pw<xbI>$VL$D9jd-C`Z?j7SL~v>1EY;qzqn
z7|-M&r1fVM6K3T*xnVM_Jd{r4kONS&nK&~FU6gxfbg4RKsHK%N8Bn(-B#t47U-3;(
zV#=_%_!X;Np+Y@ZlTJntO($^r;)i-1aqDU4g6=JLE_xs1y<CY>PLVDFKNO(2z%|3t
zjy#m$E*TO0(j<3K`&a=B^v+<M?c!p<cyln}>REP-?*e;l+mcuFBl-(=MUg4alyYm(
z%17rpOP5-^G~I>3SPWHAOU`j|4&fZ)^|O5sTZIirow=1LPLmcpE+Db~@TX>43VVuB
zet2PzmiJS-0*XWSEE0h_d!6ArzW!@7-->ig?icBHIpRJA5S1AHzQ-c;y)5zYI5Cdg
zSgbCk&?|CC9Tn=?c?@Huc{&6=Ix6B5n#c-dnkZbmrzgwu$J6mE4~;O*4FZaHxhb==
z4wStk<&I%3bnM*pgTp#O0rJQvL*9;IWWO}+hs@-F{*zv#DcZV=x$7v4$-IIVvz24z
z?1<ZC?$e-fZsu(fl7=)6+J6H>`IT*oUvZ@r#vnV?Lz8EFpABiFq`K8x>WZYx{17DL
z6m5EdOt?(B3aPD?lfA6LaM$<pq!ix89Tw?@Ne9zz<2O`L+K}dm+_F>px8Y3^NNw>V
zL_nXG562*VMSM1jYmvSpFdJoTIsOx9sgp<L@>+$X4e%{#k~YoC227%YSK{5Jx0R*~
z!$ksJ!_T|9^j&ZKUYd@UeAI?X7SK=ZYd+IFI}*@5owCO#)GK^uFyYtb{36|c{E(n|
zatI&aWo3J?n3a7Pmac87=-9F=f#IhynMZo>+`69x2U=y2?EyHK5w3oy>Uo&}vc$3h
zp8L5w)Qhs$Blb1*#wV+!*DiaxzmROP%Q9ext`(X_dx7P?j&zxD;p*c%C49nt8t_AR
z9b103nFy$UBKUrQTUIlDNSR>c(V9pC*IR8}-nu({Ph(QB&Bn~OWUM<98MR=}6`lE9
zbi1}(;>FvL1$<Dc7w*{te!F*Ub+Z|zaqY)p@dT!iW6M43%-E#Qw8MjC-NGpZ&V&`G
z;}N4p{!<;MsY?f!sF8GT`JLBntZ;?kt~Z5Gd>jR-sw20;CYpk8Qm-cjj^^a^24FiV
zhxA{&AX8pZ7-Bt=NLuPcNRPR28zhDmLws%(koNSj4aWPXV-?EIQ$%(cP?8s{$njcg
zZxY$IWp`H`M%m3p*sXc(v?CW5o;NS6Dl)(IIVuW#kxoo+wo2w0(!Nz8e`#Enz%LjM
zx~CDY)kdQdpA0=J(xr`&i+pH)N>GviV|APAM+N+Rc!fCI9~-TRiSZqGX?gG5AZ7fr
z+jY}?>fzVT`jV5=o0>8cY!2Ebd-zq`*;{5O9U_DuBw<n{XF}ykXB?5iZq`!%wpP&#
zA0~io9*zI~3KaYw26R7SSnT5JeYL=grfBbrEDs^fa=MDJRk=!YHgcB<g|nP}j$GAP
zg|7+aozvE{?Ey2tu+>UuISGd+Eubztoxs5ESFbvu4eq(>yy@cX8iJ4UE5Yp-`S>P&
z(#JJ@!r81G(`dcE|C*w=<6Q{58akNgZ`psW8`rk0TL^B%T0LJV*f7iTOJIf=d?g#U
z8Jr5%o(-$S)_&-Ki(Z6RV4Gu&7kuB2v^>RT`cZMeFa&dbdSEU_VDdXjlbWan-x6Ak
z?-QykE@?;+X6dzwVNuxe{jfnwvtik&nel)Hq&#V70z<O#+aMGEUDIvswwAe)>p*n!
z$!-Rh;QY=s>=zCSzt7+eP7lu|7P6(yl96qS7~EkJ5#`Pe7!!?DYD=_U?nZD`MAj0D
zi^#7+E=oN=N!Z4%o()CeMbZgT@8?|T_2~o-V|$xT^#D@-Q}YCZ7(Y}R8Q<4kDo>h?
z?4`0;B?xJZJy$1g0eit<Cb@_lm^eWL?=m??_Xp`%9wDX{J3oWD%y*N@d{gwH7{Th3
zkurtWrS9s3ecaiPv{cDoWJ$C%0+oJ^A`%eP9W0oTGGR267a6R`xRQ^1>f3dtwK^AP
zsCgO5RcoGRA&?2zej$|<k%wJ<Y%mQ1bSmc>MKN^L8;i%LvT1Xb2|7{+n*M!J3x)$Z
zS2!O!!&3=!dU&g63)o|QM9oMo1(G+uxA3DcKVN^!&k)x-TNQ3l(+jF%W2L`VB_%AF
zZ0>8<4{D-h;UA@HXO$^1x>E>c@{{Im!hV8n!rmgO>;P%~pgKki^uKu~4n9L5pAV_x
zgMVRMm_LWNj9k&jd*g$hHZX#ZF!q$V8)*KNcrK`O0(WkiNIKQ1dAO5UFU!KUR!`h7
p;`V?8Ld4lJ*c$#f{T!Mm@{d{T?Ej;aYQ_6X)ET4Gxu<M@`)@+mb@~7R

literal 37231
zcmdqJ2UwG7w=Nt&!~$X&3th(mA_yqG>sTOwpr9Z%C`j)u^uVYv7C=Mq7K(`U5+FcO
zMlrNV4G;(@O$Z?rAwWntPk{O6+xy!8ZvQ#|zW&2S1}Ayn_i1b0>t6R-@c4#-HqSo(
zeGmwQ2c~ny2m;{@fIv9z?b!|9Att_>2S0Y-)6>2JeuA&H%NQj1vDZ__%m)GyiekOk
zVkZ{vLm($1uq&5t1*Fdo2geWJju2m`YUVBe%KORGcJ_?oKIf+h`4s;@P3I$o@{KP=
zc{BNZD^+W(>nZnVC9k*I9QUPHHTRh`KSl&ec&6nj{Dz9t6|=5|sde@1c1FjX)7k&W
znbMnojNeQMN)O$9`TMC~pwEB(1Pj%4$+(RzN74iDT<k^rQ{e1dv;4pIKiy}_H6pYN
zuvn~$s_Oa>wAgTw8ds+bGbysH@wBmdx#a1_wR<-|0ghx?pz1JvwHI)BR7lQ%YnXRa
zB#)ZIyY|6K7t<bdEh`s|(>OPnv^$yz&nR*)=naCQJVaG;hTTVkei&};Uox4WHJHmt
zL#T-1;sa<FY*7t1dA(lP1c^lY1O!xDxzyM7t+zm%MFR~``^Ch?kweavnJP!zI@Fii
z#?&%8c)_a@<4*~?hboT?sVOd|Qn(0KX!qedsA-?M7IcV{HP8W5!tT1tK1^K5yS||H
zKmYvm$N}{5moHy1sJipG=nR9YY=6w~nH;Is&`S$tP}7N*8SSyT*UJY&Oi`2XZWl0J
z=_`~Y6o2|>Xx7`xFnb%DQMN34jF4J~A!?#E3AuVGbPsEo#`L~QZF#}>z0SQ*vl{RF
zORr)aPn<a6$j!?;5@$CsK0e-!b{!}i3n%9EI$NcU=fJ}9hTV}<omDVYLqo&nO&6=L
z?r1|Tn-~Y^Kwo$FQoLkw-C~mQeY}CUp2P&)W3XbnHf2?cHCA}dD;LDPCO^RnF$}Bm
zXr?F~*ykLVEw=Wf$B(Qts2*>mdmZ)o@nh7`ap5GRqBA)mH>>xvZd5n&IXilNu?{Mc
zW2rFQZjiS$oZo6HcsC7NBZhP05^lcX5^9F3mozP^Q-eiDMU7ayXq5H^&7HQ|TH{5$
ztKq2Q*_`*uwRM5D^mhBDB6Am1dI;1FWfu~%v0p<&1F5dAzL5#da;r2K7gH(j3nDc(
zUUX<rRWQ81_{bp7XY%XUucXsvgbzgx>oYQ9DqdprU0`Ch9kGU5jGu^(6=-;KpXL65
z<Gtp_E<!1D%-=cpi(S*!j-$ue1@wS%$bE%~<&_mpE!>nvVPBSb&71heOn*!$4E6Kp
zPs>ERRxm&nGzX2Qr5m+yp`;AU{77|yQ`TOejv_Q$a+qmQnUHulHb^q(5`xlJX2Eo-
z%45@Z#dl{VyvWnA{k(4BPmE64EWkLt*GfKzRbS4@kDk0KR385wDJ9F*mLHBl>R9NS
z$qzF^fnjW_`-{NR7>XXG5FZpl#F9iL5_P@T`}_O%!nz0qT7x;66Ks>H8e*=_cDgHv
zV{B|pX_-co5fKy&xq*!`(ygiQtDS#Q#R0Kdk=po_(R>bT-?})E$t9SdwMiyyc#k{b
zs~vLJgBNKH%Rh6p)}}tm^@_A5V&Ek+iGz*?^c$<qx`oRtZ&ZY3)h2H>TIkl;IxEe=
zx`&G^HSf<X=AL$1@?59Wlb*%ISZ9t45v$xV!OJtf8kK#q2}VpC;I?Q{T&*8jx^}5U
zP38n2U!VmFFEqJ0hYnhvkrQzefI#dCGI&kOv-mQ%swp<@nTOPk_GW8OQdY>l+;t3Q
zvqI9P#cXR*#?p-P;~AdQ1X|mQdblk<J?P6IaJXpWq~eUZFo}tt{8pEk?Di%;At6Qx
zii##uT2XeLudj+jof3^2%CQ~m%jD*`kmC5o#ir>aEQ3u>18c$rEPNLc9Y`4enIDy|
zaWSuZtqJNR&rbnMyAc!|3{M<SzxKw<9~Jb+Ol6<>fnIUeowA5_a8{n4o@MdgcUiWv
zvCP6IC=7|*d<`5fHp$39&zt-?S^yggb<6D@8PUSVdtWVFu8S5>V%j0so*b17%gpYc
z_BEN4vDg9?8E1L^s7lEb+Y_r@;U<|BEPJ3rY-cEpOUv`~^LGk*XP~gc<!9|_N*-Dz
z!@zbm)h=A<vd|5*%ImJF?{&WK>+8Eou>z>$r{aj9ym9g=>Fn%$ikc<W2h;KnNWrmT
zjDUjPT3H-daBy((ol5843>Mn1!B%2oW8vPbSzC@MOYo%}Amxwk2Y8vvHRLROgL(47
zg9mX1CWS$lB_`6L1hEu-?_gAHbaZrvvb?-+tA2&b4LE#60@mRn&+kEM2&Mn|fkvdP
zXge2*oXN4218$2N|5Vu*2UZ$HeWkURwMd&H@6VC|H4bbn&USa`ND%FVg*~%%y-9Jq
zi`V|tUq&D{olN`U%kAF*R~g%XTt?+vS1~n(5(sI|EE@i>1v#>Wy#Z{jht<Z1A7}l1
zsrP^N8_R7gEI_kwB^k6YW17pRlit+$6YdyTevQ*JR0$ibje{}o((Y6Z)ys^K6cS$;
zwBw!zdG{F~oA5JC&a#)#Ml3=ghvos%@acEK(w=hFWrZZy!s(xMG?%-FdC$<BHOAJ!
zYoN|9Op{?@sB`)Aeu&_Gc58549jbl{b#>FY{Yzb<OG^zF$b{1MuYO4i0xDFcr16TJ
zrKR|__W0DH^NJ};9vCG8MYxqG`18_t(WMyDI2+_UH+aaX*Z15PkLwmOi2Kd`c3~xm
zU#ZNg3>8K&_6r7CA*U3puP$a=gzPv{KDqiRu&eG`YE*wH9n&oHB`ve=4E8)W#U6DH
zmRa*M<!M%>JZy0+G`3xk4I&&PR0o3O*yX~Mx46FGmHUhs4chU|rn!Z><tUn6_x{ZE
zybk)ZaKb`r-DEIA$e(6`q)V82zx{=F^Nzfqbd$%qpJPWMo<G+Pfb9*iT<gNlw!_nZ
zKHMnyv}CO7O{upH+$_YlOk%W`g0Wsh95V*$Z7=p|w;o5#wo5z>TKqUBh=)J~Ls=U&
z>NUZ@-$C8hn;h9>9&MeRiodE+6GjUNqbh}2d04}W7$cdg`{gz&Wf&nI%rL?o=1lyU
zh7AuS`Dn)|AQi%<xxqIEe2y)TlW-kUZT3M5IESz*wN1wH(`yCBG57_IunKmFebn}n
zb<5QQBxiloY#qqlBpmcOX{BID{z6J?7A;#Ul)Gb@6QXR%n$=4eA&OjpwweO9e!_G>
z!^~$|qIpVr>VhYCs{SG`Fr|sP(6yDK(r3QT2G%`s<(Xw?ii1CHa4`-~zUbq!v1hqe
zc#&@fesox+6Q|}uN)c^GVMFGQl;5asJwM}uJ%P&$tEIEu->h~}XT8#r+VFWu@?KtL
zpY^|=phA94q_*EyqlvC9yN{ZN(Hd+;tQ%Y}X$E~Sqm!){WrCNwOL6kLi|d=qPq~(t
ztMY`B5Sb;brCIXopA-KBTNCj#Svg(E+t{`U1x{kqk@}v-iQy7nF4<&U*61qqxtPWQ
z&u}u_7kL`d{pE`F+AyZf*7br`zuF7L=2AyGvmQP^tTmXDrY&Y4Qa7Rzc8T<J{OVft
zTDyE4m{A*NyXD6F92iQ3nx_1E9nvPH#@dtSN5(N}wCCE=mL>P5Z7)oI!kZ^P&GHNI
z8^MIYNSF|u?FHU|JC*jY#Vn`;Ny}<0L+}l--%EWWq`2!c0p6LaR016>T)=fuI#t!-
z8~T{Ab^N>znPdLPYB7tC`9{bvT1gw9V1{3?=IUBGPy$IUkv6hk;Mx!@kEIDTYrLGZ
zU4VR)nd?t821fI!S%~DdKej>>5*xFHiM5UNtWsz}VjFgoA(_~Y2lndCm|NH&d2G~@
zw(k5VJLDxtIBngVxpS{C@7dsv*O|@Zf+U7B3cETm7sAL4-7!So%`;ir<|5&z#aV_M
zF8x)Cm$Xl9c(Ol5^#S4n?h%@CRw-J4a&bySLXX$WfVy=!2U+mbcz#j`KPp7&siP&r
z@6+tsbMgeU#twLOeB8Qb3!)m&kArLewYkk7yi3`-<}m9y5E^D2zA~9-8|M^1zPw33
z&Re_rm(AQH?AR?NoNKx#Th3~&LVQzm5u6-1n+&*BJto6@s4hy~``hnF^&CR#Xwq;L
zcr7OPg8LNggISLUSE;hxhqXFU)*>O0A4WclTfuo2x_KVvfyxtKyM&UVfcVc?p%At6
zT;ybBzg9EX$s?%o;mW=QSXkn?B%o<=0*bEvDpqNgE`%b$^=tcruAzu1%OQ6(cKx8w
zKcz4a^;j4WnG9D!KS1|7*NfuL!NRm~<#AH_i{GJH*0sLVS{Z(QW`^q3*Z<vYCeSlY
z4zIqn3Yd5kV8@gqD@<nc_$(AYM<xf;Kll*}EtF(%36*`kdl9TC8s4Ok$4*kJpT2IW
zx0sNR_OPn<{MH2$m><5XhG%m^PU6bN#l^ASo|qReULZsRZBYUsNrF-QF*kM16369W
ziJ~=UVJap6`TQmzGKrhDR>3B~#MI88?@X=TaKsEZ_yTH$K&b+5fzQ33rimIyLRH4z
zmv^XoA=4rvBCbhHG{G*Ys06M9K7I~11FrF}BvO3hHbPNTRpy1axp-(ZPy#nMx9@>7
zbbHh%r6JFz1^RyT!oG5s!sAIsObUw(Is~<|25&5NG2pC&g}Ka-H)#iHMA(J%=NHx)
zoI43n(wtHiE4O;Nu7K0dE3!~|Xr!AlgN4$fnoZ-48mgVTbIAvSkFuTwNwMWME2v~<
z$D^PHaU1ROx5JcR{L!B!Q6XOMW&>e>kUQ6Ef;~eBL|;SIeSc{|fUX&GaBxI3Faa)w
zGJ0i*iIxNepspaX!)o9j!>q%0wFW)MGKknv_q=X1*|<=4$b5e-g1j00z03kBOY9Cm
zt+<|@m*KhGYl`*ET^HE&K-Ru@7^%R2j4bk|n|UBV^m=T*dGSWY{!M2;ZN?P4KKVvP
z%=0H8u;}h-S2x8pnD<>k-e`06G|~#og6Zq)iGAiHDfw2_fJ&;+iSb4z`c?*Xkw5Lr
z15FDRU<R5cA^(+(jL&-ND9nCV;4BDk!Pt;*dZ$Mx?s(E9WWs>MwckPpCutF}0)j`b
zC2C9)wS(Kt$y%aols6jEp1$q*r}@F|FOHd$!S=Z@X1a3pw9N}m3M)xz<67ctSX6d=
znJ+TUsO5G3dN(uC?ZfY!M~stN4@ixGw8N^hZ;D_}2giN|MahY$xsvMEmSA1o-9Bch
zbC)k)CZgg=BoZ1}i~vaY>I+TCk{)48X<3@(1zfD-j8X7$=JG(XZaY$F;u4Iai3f(x
z?YBoO@<%UyZf>43q|DblAQ_AgbIg}C8<4UQH~Ho=?cb;6eGUi*k2XPdH-G+Ypu<YS
zX}#t$j*4kA12sNVLV8KkLMKE-u=!Xla;@jVsPGG;mME7(!=P*m$V)W#Z%*Xl4Hq-F
zQnjmESli1er`YOX`N<I<LM>D#HJ@oyB`^MYgfN|=<S*Ym>#Ir=tUdOXGHKbE1_g40
z8jR%a8R+3bMS^7dF49b5BF5asxlsH%!L)E$!Z=AusH303VCaF|SH^HL#*J7tTn{p`
zOmlLxt^~5=Zc`)?Wj9>wcYHW-D&zRGXV2=+;ie8C@6*h{WfQR#JP=4ZImsc*|C;Wh
z`L5*{>;xT&=$g*c`krMg+%n9_t1rsk6EGcwUn?*y*7}>btN2}MdKGWP#OD`VtR!96
z*B?^$TN{jW^qJ|IP>7QI{Nu-uskjjAusb{v`t;a2)l;zY_{9u{Utcj?D|0+JC!Q~K
zm7jGop00=H4W=oSP`5dHd6ou^6ii)VOgud<!@P;If*E85$qsV(s%B{EqprQ_)O>c{
z`d_7S$So*uw3M4-XXRNj0F*PU?Aud0jj6FNmF82xu{Cc`Xt@IY$QQ}@@Zkf_sO1sM
za+U}HzO7zB!R|d>Utia>)>S!&D-=+259!alyF#PkWpXTUx@dTeeU8=|fH&Ox^dw7s
z8q6et-rBbXw@(2c+@<VeDU^`OT$SVViAL66r+tg2r>FUVuAzX-geF0qdd%@IXd<sF
z)*l#jR$--e!gvpW@Zf^pcW>Uj33e%@8kQAwPuEFD^}kS4RSmj{8pa@~%$|q|<L2|0
z$>R^|>+A6>g=n_FbZi3}+}zwOlag|qgEeaNYcOg|OiY+8E;uek2^WA85np?1)Z(M$
zLE3mcJ;;6FfI*RY<qS_wybsDU&F%t@0@GAfRP_JOLR(%X`~Q5Zcj(+P)`-fvDu7-?
zgt@{3SDYNO<K4<Nc$JMrRj9BB1bs~4WM}n1C;AJIo+hRLQ=U)U&h<RsZ!rhJh$Obc
zH{@c{HU;?4ypa!F2~6bq#t)ofTF78#FjkGY6n@%|`n%}qat$s>vfeI`LCh<A&QUXm
zU3=DFZ+RX{ss%}uCw4=^RhkX~n+IQ3x{X_z=hqz84gUjg1Z@+O`5V`QCaEb}DuGk3
zc#fDJ-fPV*u6Q<O#jX4|U}zoTfVK6~&D7jl=FoR@x$01$MF~C-?A)66|JeNhk8ayL
zhbnPd0U+CCy%?|0iEn_4i`9tZlw1n4M(P5WR)B4DbITWDnd@k1AfnLkJ}OIeO}Bht
zV?2^az~6vi4_KU}b759dW#)_VD(G<#h>HzOSsV<CL!;8W+|eEyWk<Joq0fhO;)meL
z6o&>N0clH2)IsrjWwN;LxSv21b+0tvTpm>f7}5Ui+c*Eh<wbL{WSn5qxC%@<IX!*D
z3rN<J@?(M{)4pN-!1sp%{2Yl(&lqnF4Gs0ss-6R}Yf`kPtZ)6)H)+;!c~-Od5#W`M
z^85mE+3|~cATqOv*ZK43OH1MxQ=xBQeT7z-l^zaaG(c-foIu<Vc(Q>rniy@=QU>(z
zGAZ0`SWARkYWpMxC2v}2zU)9mdt^DHiArK?R|=Qq01e??9YW0ZdxfE-;0+s1vF$Be
ztkAYIeP4h_^|#2eIKiy(j_YZPp`MP8KQf_yKrW>#x()jJq4vkwd3$^JG8I{5286P_
z7DEw!{#sGkaD`KM5l~RwQCP#pA(Mj2nU~+JGsaT^i|b&!KcZh2;4BP70SKNoCx6O`
zM`FSl>kG{`1FTgyo_7Ys4CuZXly9zecS`zt5S{ruxd=0tJ%rYy30MGT;B|wMI{wC(
zP<S~SuA9%IZZ}c%rZGuf3HT5g+Apg9AnQ@#ZKYd!ofJ+RrT(VZnbDc5;F2hco9QhG
z1~3l9OT)OKvXHe!55cehf~e(5!@a&10v+0a)Qh{aFG+L&<2})WiL(m`Sfy0<9dRj~
z>SzR_3K&8q7g(QX1t6mP0h{oHF?|dT@lobri%5OuKzUThMe(YieHCAJZ)S0Fdfi1a
z4bf{JH$KkM3eXw*6~vb2rluw;Y;nM(!0#Sv$+>Wf2Qb*a_hw5yP&nY=4hML6C>b~f
z_mKw1Yjd)keHkcr2wM<hDWRVeg6A?RPK}4?8Jv0@4XZN+hAH{XK58xblU7Q<lJW3|
z_iM3B$R!`7?{e=EZ6Cm~@YYMIgphg1n7x9bKGLHUDm4r3G16e1xA)?dsM&y{d}jJM
zv#~P1>}_AFIr)n(<J_GRn|r>#@-@^GQFOQA+T|j^aHho9LJE4<m!ODvBT~0JS_X#7
z%*<>>x$^Pz4<=^+Tv^F9)?K@Znt)Yxq$yE{B#WxQcW9S?HYcaW)y;QSa6)YSrCj74
zg7?Xu&g^$&8lV92WG2R|EJx)DHl^Z-F)PW@*T%9?djh_lPy*=*Fr3do4OK$b$>Y|5
zZEWHbOsxZH;5a8~K!;6(Zq|2C57qip1|2+xsu#pzbG-g~5>Io<J|LFUwVH;xMu-3l
z+F{m67DMuo#7*1U+KNMAAga-w3y;gEwI|IE)hxy2=p`L^78^U#Gctk=@${U(#1M{r
z3>EI*4f%T2+2}%ZgVt2CLP}KF9PUkLo1mKYbK5@Gjr6cv2yTvYTZ2%JK*llwWC@Qj
za5pqjga~f{?h*=PuC&SFLww$Ju3iID^BXAD0A<u7WULlom|BE4CmZKVd#I+X`~)IC
z(6Q^)acWg=M1LB~Oo5gvnX~Z$AeFlw3OviocPay6Eqmd@VihziIGe1__}LBL&>;eK
z8e@Q2ER*BMRc%GF;@FLuSZT{{+T)ZN>QOl6XG?s#f-&QR>)Lp~P&1Oj<1s8pT!O@C
z_)yR<!TA~K2G^!F3n7M>T)D$ovj4q%-#_QK5)25r@!s1!Edt2Oc=5F`kf}+*j-502
z{S9R=F`-5$>u0cS)El+5^5$)o;cVPfjoCa3my?X)BeKH`a2Mk)1;3JX&bn?@8|E*n
z5<2t2kr%KZrYtK>s(7^!@h>FzAJcu_Z#B0-sD_oJ9XWDjB)N8j28jBw3-F6XC_tbz
zrK1gDZZk|#I+4X(5{;zwStf|J2F1H4&}k|a-UDhS3q~zYF!$kVuQ9ZU`z({mT+4|E
zP(MY{8c~9oyuY)s1kEtWEB8hYY+-NU%{QIO@2x(t9J_Hy9@t%>1)6kQcWoq(6jqd%
zH)UFAQa}Ra*fu8~tG8GIB}iFT&+BnjS(Mm(aBwL!6;-JOW=L|boB^DcWKO2X&Cd9$
z7Pp@A9|zRSI^K>pH;mEpvsvr$;yy06W&^mo+-^|)RP&!z*20k%78dk!$y-e0WQr{t
z$Uz1xoI-)sP@tPY52&F|7tx@6y54;)36gLHWo6|+n=}?ny<K2Z|0>?w0OjH{Vtm)b
zaIqA89f^vJbPudP4-z{An0MHl&VVJ5sfhgC)#{I7yf7zo=}Hhl!Wjz<^eS8)XDw9i
zh|3m1jk(?tzzH<2i0-1g*=N@Z|Dn-uhAgRMCFe7(7b^9N^>N!3nz3U9Q8=>6;;#bD
z{|@5z-{5-x{aYr5y)XUM3-DiIm;e0{|9?HoObTVM;C0}P12A{hXYV$(F~dv`u4Df`
z$HM&^Mf}h|YW|5~ZQN#gJjACreeeTu+E*797!~BFnt@d-vHJJruK7C-nSqlFfEq=C
z*Ps=~U*kM(0M;-B{D0*Exd;^6tWlCKg(8RNwm4jriveX+Xp5$#%vpod9SR_n6^t1O
z*bNsKNdS~9O(iCxVeTNmX2ss&K>`7t-M5|x1LDIwXdX15P6XisMDa9G8(S|2p~(Qn
zQWC@ghvYkPVzuj*8Op9XMrcYLw>Z(NrQW^cRaQV&pf>UG@tLXl1ujHP?2slFhg$rZ
z|Ge5AIJ+rkSW^i%A|43(8_fM~Bo!NYw?|xZM|p^ug*5Rf31YD?d!02feL-Fl6C*{S
zv=@>~*h*>zF}v!FbtO1pWuD(YO7co!=W59Yx`6)e$XNE<GFH_2Ydd9p5n=dE-L>yP
zL@QD&+t#ss+S65Ee|uG7UN~Z~2uj_ep#F#9tz~T2_N|Dl+WxgSFQCQBKl&74%x+MI
zx80NmFxQHjwW{%+7^e8E0WRZV=zR~BgdcK70fhm8en9EGFy!UakkvW0W5a6Scx!)z
z?bo&apoCp(&ynjL;oS7Lz>gOjHa#d>{wyv9U;F^nn77RL4G#Fs4gu19q=vSS{^*Y*
z^J4jx4aM=SCImwvP|)2bRD+6X?HK1mnD=7D1So{Ve@suWjRE>igRZ$2^s1i61y=Sg
z0f<!vkt5I<C8M7)jX{VJ<dDn_kLcJ~tS75kV6=2O_o`uA5@J|^C9SQ@Jkr}_bsreo
zzr)5&oonO$tZn~JEm=Y4gwyN^d?({736x=(5;zZ$-b)d0+&j4H9MZi$e>Z9&#%=hv
zCZ1Cg48iU&sEU!BQvcf+6ra^ruZE|7$`Tv(<D>of%)tn{IPSsboCC6i)j?oI-|8UX
z=G7cL1?t5ODmXH)G?hYe13}l-b@m~28fd`q!sXxX%hymDY6w!P?{rrL2s>%4dcL8L
z-JhpG1^)tWZ)}AS5PPQPR0Hp!(4g`@s>3KVaF@vm3C>+74x|Jaqoz7;A!RMZ^fVQ;
zCf>S#qxh<7X{C;_mD?6^)#da7X#)62vA)Htc(q*r`ApE;@E6TtqyJZ12Q<2_7FyS@
zU(&t~lJ!;p!GxrY&V%#b+$V&G>nHFdtGR}4w~)oFgE``PKz<6#8bmZdVnw8ksQqo#
zDvXmwK!-DqQ<uaY-4^3BfC&izimx`zFlxy+P9g|)Bm;dV%W#naauzd`lzGLEhtPJT
z7Q_m{j8#2HQ4@^pe|~e>;svGm4Y)w_&t~upSzP2@$M;W9k@0q>sO~)BXDbkZK)i9;
zosJc}3f3UFx1!R!9pyVZ<eM+42Lx3LzS|~9bE)NQ9)NjvL8qW=6ReIP=BpW={|t?3
z$~@ouUv4XybZxY7VIY7Iz4it8?9{gz={qH(<&}K}sPw^UUw4m6b3f2T04N&+<_|EJ
zFmX`LTN{Xkx@EzDu<$C2AZC;!_s4~lfEE}&7HkQr`KM>uQCC-2MYT(=u(oCNgpw%-
z35+lXRY^bS2b6s8-gmb>&g7)WjSoWOVDA5dl&pY^HxH_U?R2aQWc5OEjd%dIoL?FC
zGTyr#@O&NAae}!a36Qe-SbMLnZ66waW(umbg36SZ)(*#>+O5WschD&YUMXwoUvpd)
zcQ32OWu-blJdjD0SK4}6WmE8FW%xg=<NP1hLH?&js{d~m$CARz?}L7${Yg@0-Uc8J
zikqd3C&6}uD%IvafWBIq)l6XKW9#H%q#g=EFgF!jGeZ>vJTi3eFS$GAYx^FM1kje#
zUD+px8cH1h4hV7Y^b9BnBth3qP{xCll|s2P9hSk2CM${~<^jJ*!BzsOw9u0v$JL$1
zeTU-p7r8)ruL?wet`O<}K=ZNvFKIrOjToRw-v{}xNL>2!@h3PO?ucoT<-icoi|WAt
zfG`hNuWtW0`VI9KQ=qLV%Y<yf{@elA21%F?@Iho1hzXAYu-T#vK^vuyXLy}$bIekl
z-P+=WNSIXLb}24xa_A5btJyBq&ItvIf0}Br;j;UBC|}fuEUp%)Kf`b&=+-<BTJgR?
zQ_|DbL%~j~q3pVIuVYZ@MCVHD)bSipEx8TYU<cdfdR3eP0E!HbmWGt^j{@%1-+;&j
zz4CV{Zkbhz6M1ugTbq8VQuzQ4iXvgC5knMM;)tOUZ|`I+xkycdM(JXFW_r>fI|OE?
zAl@j>?%uuEAjxh9+1$S+`GA}spH^EJTFaHM@o-8MCNc4D+TC9@gKA*auvLCjp)`)2
zaQ;W>O&kX>hv-r$-e->27*b#zJY-gh5aX!qHADUiM22H+K*gvtC#%J&pT{9k@8N*$
zAhqW2JThu|lHZz^M=lv~CEa$pj*8=z5)l#E{0(S8BD|oQCysLf%<wU+qo6WV2`G7H
z<@W8yaUrj|r_)vB<tq?k#{*d<yn?><ij>(SAm{3<v<)^GtVK+@8gj(+W6eue{f;x*
zN2EaUM-xHCXVI2A{?zy5Dxa*^Fx-5zv^nYVIcAcjl@#?Bm~JL*7x^l~5oV}(BYz-`
zSX#J*F0j$8)5a@VmCX@WAnj#IfXVMLI}(o&hz2Z)=O?p)Mr75`SXBhW#Wf($O~K~Q
z<kW$tQaB0<j05Ok7r?B~!9Wd0BQJh20@@nqngI$3HKvwcpE6>-GpG_db@Ml?fWC7~
zy->xYDi0#}-6=X#PFKPK#Ark3j;G;CwjVaGE&aaOI8`pfvl)M-aes5Q%F+2bUMEoB
zkjdG=gNnx@h>2kpz-~W#H4D)`+Lx=`(N%E+&5qctabvD3i5z{pz>jUJgAfVvSek5C
z5)Wj2m;f^`gyw-3wT$Ob5MrnWmDXQf72#z*QyprF(pIXnnwnw8fbuVbteI<hE75-5
zRv%7t$Qhy$%Q*KRtJuxOg{%x*nuJb6*O~!u0PHpz*3rJx1<6H)@pexAzmRKO71N4w
zf^>)dkgt@Y!E$mhOgf7a*!ZH>-<Ocp5VUYaOUszSSX%u77h4-nnc=l>EzIbgQb&?d
zd>XG8Wc!&1d>YgDv9X}8CNEDM7N)AKyjt*pIucB+*D|m5bwa7j!C*$>Vq)%KC|szv
za>$QS#hiHKypGZONzX}H(1X1OWkuU0QQYgRPYrasq;f(WkQvKlLM+<65D*>fOzlJS
z4KufkYsoLF*nm)%;XiR7fzKB|>C-j{dU#kL1ywY+YkZMx@SpzCxmn<!90*Ta{S;G-
zU5O3`{d|q3Q>7ci-ZxQ4P#cq{thL)g4UDSm?SgW65A1*70}TN8;%t7ah<HA%?C(ZQ
zt~dYGh<Q1Bgh-^9L8s*TqswWuO<Cu{Ui5jEV>Vt+oeoE*j2FV(4a$^o8L%+#KL|H(
z>#8WhfXYoEt$tS0l!Spq%n`u+3TI9{kFlR-4VF1NI%+2|@evA2Zfj&#JBAJl2trqZ
znTW{bq$iH|fhNr``nS(4NffSI^BVLSgHBE=oc14eZQ5TLb%WNN#U;h5JM5-s+)Pt+
zb51g9xC1&g%LnQTd!7A2+p{>R|I^~?PU3p^ACn4bJR){n>dyRtIr%os08nQ%*m_k}
z)mn7lIunXf&FCO|{~=TZIO%cG0no)cXDD>1fhCbc{~tsnd(Uas&TQgI8O^wxgf$W5
zZJPev-b=e+vh3cEpGZTWoP7WISJy8;cYQr{hYcTnhUsrMaP{F;ZIc^+a{Lk-Eh+i?
zuWhLXJ}2x>Jz;yKfAApZ3xSj`huBpni>TDtcYEV-mMQtLJh|ejvCi0cMeBVudZ7XR
zWWy505Y{Cv)*4RZwz*b|Jmd+HJ#d2a*2=<Q=SM({r>@=fRiEGgG9`OgQ+p!}#0oVQ
z7k@+MTwY!l>drINI`!nWT!dQ0fl=7#Vqae$132lrBb=kJr$><8@_Flo0qA?5P~_}*
z`ssVp<vqu*-K==`>eZ{g%IXh2=RtA}?--8}g`uF}n}RBPzYxUb`OEyJ(LBBtN!DA7
zG1i`pg_?sV@j=2}H?DdzDS7FES4|i~OH1Tq2fd6;7_giR?jgyZOM4yGo>!7W_pGv&
zK$I*0^tl<xw=j|+Wjf!WFw9hM(%c@Tg4`On(S>>4bL8g0*5@1~Y%Z~nn;y@a0Spy6
zv-!f#gpd&Q>wQ=4ut;X0Ta*+BNhF78>d>FJeTjc4;d%Vw&=J|?EZc|0i*1cD8{BAz
z_urUvvp>tY1F$@Gko2UxSzAkjp|Y**QmQ>52Sfw=2ZKh*7cC+gdOIK0e(~m{nnvso
z$3)0*q=kQKRDyjZk*v2r<sZ<zV&t>@S-8V0K9g?09>xyay?heJ^yQjAgo<+WL)ZjS
z5~k_hT{J7W1I^P)IGJ+@qRuJL#tVV7<*xY13{PPM=2b>DUvgGg#8w4E;OxSjitK3i
zycKVc2Yeo~G{t1REc=09^K&q}0>p%-7JP@yex~akuz%mspq3$)>$7%r{=)p>dA(8F
z#%j$Xffj^E6b?+d23mPu^)~w>HcJN>*Vdk8zc^<|RWMb<Pr%r}at*BW-O$b{j)llY
z#7Iy5TGdhT<69`r)BWr`63TYp)I%Sh#i_~GMxL@>Y}9PL+_-A}nL4=Q=R`bj)q&TC
zBiN{7dyht4Alb~h$!2|1)A@*>Te%L;W5aUA+$9I|x7`U1ML_H!tpn>moXXOnq37Iu
zJa`EQCNStGyPDr=7f{H%{iLMrqw2}3kGS1f+32F<U3eaP_f%tPV-&_}NfzeVU(-0B
z`!ke4K-5-bT`5alJ~=8pN|`>Pf=VdOG9WUJ!<74zLc>ScwREO3^_tbNNmT{mRQBLp
zw`P=7=1_WvZRf#ef!TUDs>2@KJ3?!C6U+oZ+3odC=l8GL5m=6}9!l+pXT3=eB8Xk|
z4K38skAW!JRaw;Yz{9Yszt_`$ILMCF3yHNJt@Gns*|C4W+xtU=SMk!#<~m`io2sbA
zSI0TDX1@(~BqVrg*@h%RAJ**;5dTV=7;1%n`|dNHti>iq>ztC9PS+&jlQZ08#Mjo4
zdG@Hq-Q5vd?9@|ce01Wa7^R+IfgcWgzCLfLCGL5@D@La|NUP-dyerzDC}#o>OLeD0
zVyJy1pcybii>(+`g$$;1vR;MIBCQf71GZ<D{jKZL;on!rbA2%~7D?j$!bc*yyBV>i
zevrZ28uRQh*|o^9^$mPj2X8hdD|~I5DZYE4*>i|^!?&;Tk)0^jGnrdokER8~-}Q0{
zIxuR7;>T$4%~46uPt5CXS$n?V&~JyoEZeyyF<=j7H_utEZ1!toE-v~Y!<A^A?h3dk
zy%E)MnPjqm?WtiCUhlg1RJW67Blt&~>lSa674hn+op(cz9BiI$7r@MJzKZp?a^V#D
zs+R_Qk_R-m@o!s0_P0eHk*V4u9U)iJ^13u#pv$d@sHlt1;AIB6i7<w-Lbh68@oVB;
zlmeLZmzAHg#SNcZ*GcPgDcM(=#@Q+;%!8Hh>!gP@FOB2~*G7IX&Y6lT<e?!vbRvDe
zdO`DPzo2Bk$U#M}!8iF&ZFvTCIXmx$oSv0WnHNW0ZZW*s!*KVp$bbgyLRka4;Ywq%
z&c|V{a37tIQ%Nu;w;DAkGkZ7HbDH}-Ixohfr*(lff1Ky8x?r}E-I`xp*EpfblISMc
zs_pg2pNP#P9uL>xyYqH1iBiM7&PdNnb%(#Cm6R4Q2vfa7kJ0*)I3gZ&G2R5+|Kw>%
ziR_M>_D7;hYSAyzF2h54QGVB&pk)5Ks23pz>mOmB{~{Ik#Po^a4nC><))4EHA$nlN
z#wLfe%vV0N_`SxtVQCS&O*4`OJnK}Q(cri9LA(g@3nftn%StA2X3u?WG1q6I0r10!
zTdfcPXDPI`SQ6%J(YD)PuldW1jSoV+>iUaOK9ZtAW$D|ixE6oBi*hNnBJjYOT)GyN
z{^$jx=4H|t*J8`PmcR$IYEOd&zBufeH>w>@B9&u{9pu44`-YO{;8*bz$InJkv*~)%
z8qZ1j_t&m!2=!--KTz9s=bDkl>Fi>jMj2RQ`pDJ8tC=spt!~4rk)f(-2~%j^Bnbbf
zratN}gTs>x_Bf){s>2ke?(uH-oj<>tB>PwHSrs4EYs{9mtv`Mzt^v-uVZX;VB>B}a
z@uF6f7NmW8Elo$*|5#3Oexo7GL~3NH*^*1u1ZiN1ZhjFToiTV{n(Kv>Nhk+wEz*$N
z`x&bB!l;JAa3)*D&(0zqWw~Lk!dU;E`5c?$64s|74UL+sgd90L=DOU4JRJv_I;fMr
za>Y_MuA*jqwSPeOw70}HszoeC9LGHKle=-X?4|dy%LN%~TfW`DFFk%POJ`AUQ#n*)
zZylGiVuqo|ZZIFF&S6J1n@`t*+SH<hb^f7^1E^pbJ+s|)R2?*Oru_DIndub@UkoT6
zvW{XIDi$c*vv!dKR+1uaRyi1&GXsa2#B@NI0s((OZHBHKR<-8ZI9+nQUTfY}R#?;w
z^kVuRaDx{3<8`Mpudao^8X~TQL`v$Id|@h;DAp(K9#tP*{wXx)PQAl0dqKiu*$}9Q
zf2KviIkKQ;l_50$l^Wye{FOg#+@SddFY;)4U4BBKr=dwG;hP|sP<EN`&)><h_(vtL
zdzPL@p8b8vLu;Z<vTTN$oCQaRJGSb|=DS7<h=>h^d^Ahb)!?Q0YVw90T2-9Ki)KD;
zxdq@$jT|wn6kbL5#a!FoZd64E2+^BL!(qi)VW&~z1i$)!@kz00{#`HilEVQ$Xy)nB
zgEoAg`(S~QE*Atr_O!K2*W#aW(}VUV^K78TVF9$bo`F#4u<)OK5meYu_zkn2t9qUS
z-oZY^UU#UvSZ|Z-#rq+OAen9S98@xJ2T@<l97e(G>EQ}I=B#-#_6A7e9`ulQ&FU>)
z4P{?FJ>MhyOk(?7V5d6(1Y|H%8@8tag*BZdALiK^DqHB!aMPWCxAfTP%3Bg9YP*9~
z8Z->3*vC6}<YPYUD$8R}m}XAb3yuiyuG_gme$Ruw0a{n_IYL2d(mSK^?*{K}2CK#X
zMN=XpB;9u+RK7mn4r0TMQd%yIGL&TzCy0MtSbIXBheQfF{&v?Sk8$w!<0$uH>ZemR
z)Xr*Cjb{RXii<qzBO0oX#pYy2^;jjcQCG^;A8t*uOD9Rh&s_S?k+aM4>qpoPA@qbG
zVIxG&J~N+-!j96NJN}EhwW51;zCmSJ^Tz9izh*VdlXIm>VYsMRA5CC;6}xbNJvWa^
zj*|Ur!=fE8?+w6@Cfq>N7a{^qR0r)D+nICMAByqeH1;a#1<$KVV?y<oN5cIYLmM?N
zsz3be=}uP!bQ|f>?o^r6W}U%n2iJF)B9!Or4R+F8*hRdkz~2W$K*q7rmFErlR>XJq
zbLKKwX4AA{ONrsmJ4Q0V20e7p!S;VqN@)IZ;FTk6iX2((|9n}<7r+^BjG`|d@#KSz
zvIsHjn}0XB7|yxa=n?+3i;&UCXcRm7(|b6OujA781%m?=-jKt|JaxhWeAQfc*nf!-
z52~J&7*%L=hdz}QJxL6wS-vbImcHpSg>&!3czL6cUsms;ZEeGkbP>=I5*KaJibq}3
z>R~Cn>ylo)A5GX^V?|+TfankdI`1?3=x6BB`D3F^YGLMQ9l(tKCNdP~7(Mg|q+x_I
zq}NE9*5fa+1i9z-?4u82a)=l`)%_HsGRqGZ$DEy=Cm$Wu9MX=%${c%&rG%9f6-lFk
zdd3UM+ILEyBa_X&ZE6W_0Xo{(GgVXN96EXqe!P9^;aEg-gx-@+->+*_p8I8=HU!Ig
zK;qcbSho?Y?Q!zC<+F)P5uX|-4|iO}{Ba2VyHd=UI_%PnF#OcRw{(Td%F4CK$jEzp
zzC|AVSlXyOdU5nMDDaE#d-Rc93zrLCnH?TeX8H&=BUp;#;rX!9!PL~$Sbq;S#N3ds
z&80oxjGDHG%C_ngYTP&KX~S`Yw~dpuTmQ_rx?7(keK@JgqYzXc^D0!*T7*rJXDpdR
z(Y`Gi1`;P3o@_T`<L-f*zhvxDKheA}3wl;GO^l7@PCc9#9nFfc2)`WuHSoG-mX_MX
z=UJMe>jd)5%)QYMzrFIjy62mPpP!$WZY)~~=#|+I$<<HsHcO<P*;;mXhAzZlm%(o4
z1G`J3bWHjt=X`PF1GO;cv!+d@zawNuuc1!TG*L2>-lNtwr)5Qw)w##qlM)jXt2a$x
zPLXGxNOOR;hvXU{lxjzmfW)5X)4c`DQAFdVN59<-LhFrizMtVAXUDRAX2}&8gz%YP
z_R*sbN<V)6BNRwDE&^TGx3}NP0dQAwvrlSl0dk(Z=Uqlc!nN3_X9i|(`Ij9C;N{2!
zd`3GhE+Q}7i7!?|%B0vj6e4?Qb-C<*YoEWGP<U}R{SkBh$?G$a3N%`~L{vRf<Z37H
zF&XPR)h4HH=XIJw?+t*g?#12vVB9^Xb#CApcs6&yf%}S}%CP-+0h-ydzvkbk?~+X$
z$A#DYR5+w89B|?b2bz6MP7sNCcreW9%rBWTzwDDay6=(2yMh9|uFE%n+V1c(Pu!>T
zvy@|~dWhI*f9Io~zE)PliFoCQp1+g?f*LOw!q3mI$^Tow%tOz)=N>xSZZ|Q9?4~fG
z6NWiq_st&Ad~Fb@GHwqp^V*CN$j0G-Be4A6(Q#5*o5kEyB^tFw)uD#JT&0?UZkHS&
zDXQKBVlLh<^N-h#&b4$;!;JBzwW;6sK)4VZq`tlt#*-&cWaQ=L(>W}y&it~%(ZPEv
z9d2rR91o;T!%@1^^%4E7<Z96223+HE`K&RRQ4{%9)np4<NfSQfq;uJSDETqGZoG=9
znRFXT@CXU}c-gJp%uhU_Eii$u&Zr@}?`NRfdM*P8Q+MWy&3~2BbAQArlm9tjaUG)L
z4kd2Y#M=U%V)F+*`PGz1+b6t{&&F1(OKqE(KoAHsc5`#Pucz0V_S>Ej-cxn;Wo3)@
zqkFoza<AT$SA2MJ&#U}A=CxSiVbahLH*Vj=xkMQ_)6&mx`Bfug|D%ryjorW%jHQkt
zxo_OO>7`NP3WP$*@VB+K>uta$p@C<H7h76de5UYOBg)Ca+^6)Rdx-%3Z;375yfq`C
zlk(+i=N%M0z`k3A>2VnY>{x7h<m}RU@s$x>wSF8Fdknr$UDxRKDae}$C3ZqK#l)tu
zfDHsNiWGArkFA2CR~s4}ImY`1C>~hSG7ywPB|Y&&H9oOUuC5z;d%jTtESv(aaLGom
zL_ib?8@Q&Yr#IzLT}rPJ)k{?8t^<)}W@d(6w!E^^&m$Zl1^(ed>6WP_?e}mjbNb!8
zcePbjRZ-3^E_tA-$)lSJ+4wy>>?y$1mOmq_Z9Pzf!A54pgNPx$NJHd^;CI{b(6SlB
zvkA(9Z%ybif^rY%f5r$Ja+Ilgnyt^Yo1-}6yTa}G<|n(|)WfSXv|vB-C*5E`;Vv!&
zTQ+m%Ndy0H0dmuDo!4iARINS)Uo<2<I%u6Srz!v33(P@WUP);L65{&l$x$*uq??C+
zt5$#Vdg++7<*ITcSTz>>rh33l08mlkR99+!Te`~92%5$ZJUgMUbAOSRrbA<aRb$3E
z0pw!ufH?fcZDjMtMlI)+-F0V?BaWf#mzA<S`*Mx&mqiihV1eBOjltnfI$=jid*1JM
z-!<7yD;~=!v;%65!n8jYq*WWSOR1U`6q_1LX#=!H7)K9iPh6A1Q>Uj>&pbJxhcM-_
zdp0>aNoD8#<>@Cf+vgY|jMDSi*FWYu6j_+VF$eygK@2^z6a38lp6{xG?_y@!UG)$S
zIOloTlcPQg6Bn`PN9nV-*NRy7oVO9m;(w#>+zIiPwWt+i$f<`~{=y<!VH>BRynm#n
zXr6GB^b$lKJDJpalrHcFZ0ecOHcM$*n6=rbp|pd)mGtkhfNbmgeDl`(E7+SkBqNj%
zWG(gsY>8}n&wqK+5Gmx?k**Te+tahrny%uL+mU?!4g1TgDn%_2TrL;9dl$wA0(8k8
zDfhhrWHMRp^_kieFJHg@zB$>JBBxOA?t1-tyXl)Vs{8@2;J4us%L@K(Zj`rYo=ip^
z?0{D|b{c0i=NV+IE1irP3oxH51;3qQ!tQ~a@a8Z-DzyW`b}ePQsd~`m%VB#3_YWBw
z#nN8*1|PKGY7l25Ul7E?y#!;~invc%n%%yA_0^4+H8m-g?yVJlCMG5gY3>Cs+Ofi+
ze#XYee!pC8{^Ye`H|3Yl<0U9UV5H8arln!`xDJ7~JSB{9mXe3H#j6|DCssp%OK(hf
z=P4DLl~1zU_*hsFW23?d+b4tazin1D%2~}Ba2i(nql3x&t62?ErH`Z0LdRrr?#8Ek
zUJCR6qr^tIj>#eHiL0GY&OGT5l(TPZSen9n%!XM3uWbG~-EH{C>mT}~2B;tjL-r(e
zRn;7t6|Ly}=-k}NgQLG&N+Vi8a~(SHo_*<^4eveQKAw4Eq5z<iEh_5Z0qcg4wbsiG
zPTLy<!@LJX-GBYaya|dczkY9jQnq^2kw%e-ydbP^|D$`Q0ZN_->^V$+LBZ1qayP->
ztS(^TGBoQ_@sfF&9ga6##MNVDXK~kxzU=`-UIF~giEXMBd8zL&<pBy)`x3J!z(>td
zaOYG0n~{<Mp#m_C0S6snojx{sb^=73r#pG)UisH{Lh~^kVQfR3A%e+66GNm%?Qpel
zINOm6!WMrG7%wGKmdNG)E#YYG(}*lUnc4b}EAuGxtp<-08i^4r+*3Q83wHV%;GlFM
zHrS&M^B{ltGZBr~8&5S3H-2jb8SI7h2ir4-MxQWCbWBcjH@r{uL>EMb5BhE%`A2>T
zJFN>+m5~?j9>N!i78tA3TT974bf(C0?WX24i#ved=be82rpM=b5bAy-U0qh#k?$h0
zN}8}8ADteWD@@r6g!2IIf2*iWs`IOv9_==VBgUeZVHWu}BS%f_BYCiI?hZMojLoXr
z+~*51wNu`q@-1!Um2zU^jsu08i8)8*YHf?x6I}E(c=Ivu_2dQFhb|fAers)<ba(p<
z**uWWA-GT8{vWsMOIL(JpLl}=Lw!9ikFwVW3lM5X8Ytfd7ll`O=0&E-{-eAXA*4NR
zI>ZjHj=49*OBd32lth*|%^iT}Jc|)hQw;S(=xT-joeF7zk3e?t;V*(d$OhgZUzq(X
zG3tr^oBzW21v#vDjNq&>*zO<hf<SZU{3F~UTs!=FlXC7q&Z6ni{2XV9!0JVrspF6-
z$lt;b>ztAtmAL~_NljMaJ0$Ad&O^Z|u~F}gnqCy0-z6*1e@^H$m;SC8F5%sajfIV?
z+|4@+%046tRt`AIs3t4VoxgCfi?Dk%sWB}aqr*NT_s<zGKuqIq3g1ON5z1h=TsNcp
zUww$kCTj7#q`<o<M7e)Tl)-Hwwb5K(6|;#g{}|Ta-;k|v*c#7)g=qc}m{Mg7CY$Pu
z8G#JWbyHXo27Eg~-=5s-g=tuU7(j}+!g!yZ-J*?u=j|-q-r-!Qal26IQta2_;<ZAL
z1)TOY*gKVT!T7~pIDy?1!op-jHsp8$isz80tf%NaFO=5;Bi6K)+BwmEeZTq=G~`Eo
zL?|v<qWp4^ol$~cs<B#6HZp^MhPnwZeN<}DZmwOvl@ao*?TG(sOiDS_$+WYw%}H`z
zZS-`b(Wpp-N8&xBvsxhgkzp&3fU`HV)8ayIionoZrOPd(xNyH6@8LMkPHv!URcux+
zBwQ|ZlOGP{y^a`ZD$rz{KWnX)LugeR4hk+i(tI$=ng~Nx2+bLyizTO}ZkYf#fq3r6
zU09^o{zM-1)JZB8hLG5$S_52Jd&OU}f>rEd60Thn3Ib~7s`|?MBC=#EN!qR}%7D|R
zsmvm%zG|%IxTCq>aZJWd%$r<E7(X8=-JL42^>9njr)k(|0Ta$%5wn4#7P$?d$GZkN
zpZLs*Znq`}GtF9`nr=SV=-8CMJ0_+mg?Y4+m-Wg!OG5vxO2iXfG0wNHI_GHkUhy`l
zQkWp*=GDxbQNsG4Tvnj2?lTLu2b<q-cH)x*`nbN_zW&A60F`}6(h!yBmnc_X`_SiR
z3hu&a{loEmWR~8@<~D8`ZT=RnoO{1L)U_^fBC)A3R^vl$!Q{fse!Qqs=}f|kkdS)t
zg6ZxdMu8SmxaPcVRb6p<EpO*rUB%%bwcB}Z1|6Ty7shH{qK{<0nF;OHSn2*rR^#&<
z4SP0-gnz%DhNdfu!gSqEO1Pw+-W#Bn!67Aqdv+@kxU1IwXWtXHm6R%Ct_89wJ2vaX
zTLN|eMe=3jT}Gu+SKT`8Sum~C0_2gxK_`+OZ;1wP5LN2xZ20g5tI~-8_m2VoY81O`
z*yZa)%kI*-tBS?7Pc<~@_y@wKsO(#rg%7O4;qxtLt(`7{@kGQVa0l5m?_LDQ*!5Ch
z+3DDu14GDG`ql<&#yN%ld|U_|D6_u7d*S)#Cveim=5oA;pOmZnYs$bBpAh?%n@L9^
zl8WkIz(h2o-@c}Aihy4~#9W6czOZvT5`pAwfDG*uyj)gmI%5iajHfXvTqD9kZkDAL
zb?xb@@kST4;DS3>+D0x2<&D)$nIV>W`FvLI&N6YlaROQ~Uk`P!{1~hI`6lZSwmS21
zUS>s3XtxkTZk>ngW+{GLf9e#Bzf_fD2vWDJhmFqRz~;bCNVGRUs|0*ugiRVM(d%g)
z$zaL*{Fh!^x~JJjI1(c-zyCn=HC+r}d`G)|<TiAZaOT|?xtURp6Lgw(Y2d`!cLtf)
z<=>&cl0HO!-}lF_io;Bz>13+AlGL4+$g8a>KRdx6`&urA!idw|jnhyS;`NJo!;Sdb
zFBe9wcm?-uB#yTt_(qR#u|R|;>r~HZw34eXt%@fW{jiNfk$rdgH&uf@ILXS}ZndY{
zuAWW!+NDc=6Wbj^)2L8iJ$`m2NTFDjc0@zTK;*anx=BrQk+Ar$gSwyM>-iAl^4IDo
zqBWRf`ZO|p^)v0q9dzcqI77Qx;sHD}GJ6pnVYe`@q@$~7X)-wdRuFLWu!L;cpMNPd
z(B&&Z1+8RfILm8^9)BnVNYc`Dm#9>SvDXv&$_pA-Y@2@*>|R+lb~Ueg;@IZ+x)k?h
z<ZW45bLn>;fk0-Lhml{`<7c7G6_@Z};!_QtYkge5QDb|YYJL35Q1wr%nls09nltTs
zW=7<uZAFG^-Tjo(-0L+49^3vA>Koe=MTKN>F^{YY&);*(dy~PE-fAx1N85r*UBh-2
zX7Jl*!G&Xr!;6xsa}80s80x@eNH2X~Xyk2(Z_%CE;*5&8cSE$wXByu8Zw>@$kdZ&j
z?RtY`UVGW*tFB$SCggo`?eXn{SAEs7F-b+mdCM}fo$IS{!0(9sgAgHn{l)HgnB<?2
zc}wS7Hu;N)FZ_=dHV!o6!}THz6Z};N2UtA%TG{VgTBd&xaOoB0&2Cp_JJqpaiq}_t
zlfAS5{4-S>t<U&?JYM7O1B8_}bL+bGs97&&-d+Kv(z^raDzq5f33UCtzqRkZr5|>E
z(squCi*+4{^{%l-2JM%foNua9NgVOv70V3UM=sisQOyix3)&NKS+Ja`t!4Y&Oys1g
z!l|cDdK2y^HzR7!hr$>jMJ#MB*%HW4>rZIL1)r;tU0^)A%O}UL@MM9inFwC~HwaUo
zV+D*-_BctNx+vIPHmRvds`GCB*4LbAGkkj~VENG$D(%j)F8!3IqpW1-+wtbQqrudH
zv9(<I2<|Nh&9;Y0KkTu1Qv(%WDYZim<gcW;GkD@O!*;*1&Uzo|7WzZxJ$B_<s_AB?
z*YM`~d*T7rBe`kFs}u3{`60tDXcfXg0gh;L3N)H~N9Cnl5lfeUdXsAoJHdE+nK$=d
z7Op~b{m(u&>Om3t<VV-hBm;6&?EE`?h&R!^=hS>xrP77zro2P9?{wZoMYi7HAn5|}
z2EjpxL^rxMdcVB?N9Y!>k^k;nG(>sly=Yybv4lR{mV5kEiPyk6`AsHo-Hcoo2na)p
z*Hh=J(>gtrzXbK6<l7<-&l_;gLHGJ&)*VL8Mjc0Aocg)7wOxN4neZkG?!Q7*l)BAB
zQl8Ao>d0fHTw7Uf6My{Ko#^05wYluYdF4==`z9rEECW$`_k)q5lzB&XEOX4HAVCzk
zR0*30=e$}~*bLk@i5AR;;0Wd@e2|&3MW$wk4-|b6Fel#GY$ES%KUX&c*SsVjbW4V(
zJMhu-I#phTTltY5-o$LH4>lYmXOyhcZUgp2Hld3L0%UIN^5=4n$l?x71&#}-iKJTf
zZjU-AIhn92{@10p{fzY3L(%VME8T9H4U7%_D_{MVUIeJx1D*iG>u8ZvdwtYC0i94J
zB52fiM|B;Ps1F(YEtML2GBB>_ZRpBJJ+>2}KR(R*+fx#&(oBn9+YUcHcvan$*6X&;
zzd2`n0y%_P7cME^xI*J9gQ0f2m9SA?O#5GwnM%qfqIt@YEO<f54}A|H8tu)XUX~I4
zr8dE;f2JDh6eZx=NL;h2jIK}j_|>c(LpVv_VuDUr@`oI}i$#x%HDG0>Yz@>IzX11W
z2_G~_W>|~0g;Ae>ZjBZ}UvAaa`CsjQcTm%5yEfRc0q)vXrK}o2l%j$ZDcKbj0|E+!
zB27i57wHg+-L=6Qs<c=r5`=)%K!Bht5h;-x2z@D0FoYH&1ju*)(B1bv-<k8rJMVlm
z-<)$8cgDd@^2<~1=en=^ey*$eR37_<rbxzg$(FFiX<ORQ{J7=eg<wlP|2L>Ly(e0H
zTraa}rt-eJ`ZYD79KGbXzqhuv4a2=JU(2-vib9a+nM<>Eg+lk=Iw%^nrt}bj9^o<Y
z=Jpt_><VPeW_oKaZ*Ky`Dxw68t~$51_{=^D;e~A)X;uolYBO5V%OA>|D+=^>3^(`0
zX0e(G+LAI2d1<{HkMw&qJ~hHfr;vd`j)HtIGpeorJJtJ+de2TwdaZ41Q`4jX_?!#C
z=hWsh>Qi-aJdH?!#Idgn&@F^MgT?y)>}>+c_pNsiwmY;Gv4Igeuxr<@?ZD{Ry}opB
zAb0rzb{?9w_ofw43zpNFlYaN^M4RXalQzBK9b3zqY0J&Z`s|MP=2dG%itpR@fDDw>
zioO-HD@r~pzHDSoJFT39G&v#+WJA~puhf5k)0+}tkc#KKL8bsFOpTE@Q>q&u|31L%
z(KY2ac$W+)Q)(N4X+uMrpDk;Wy70E9riR09%>d4v@$sYgj$ickY4w-u;&N77L8iK<
zzZ)21l=r1)XA<lcwsFRNK9^s^0(*Ql-mywpsS?x|0!8eF{=wmTEOWSby1tVeg%5VR
zQ_EFbtYdyLf}gbmrNBbUD_4HK*lkk|&5F{$=e95UJC$~w5UO0EAhe#^(?jCyzyEyG
zv8NRkIyV&k!&ocP$b*dT?)m-OH%a@!>3E#;%bc8)O~<~<Pbe>^_L+0Lgn<1>&y2n*
z(HB21)xvJw-~TCh_@`rQ^@Wo%jgpGRo<4gv@M8C^MHpML5#8^j^2l8;?EN`wS5MC+
zrHR&rLyna#4qf~1XJnL%^ZaxPboBOPLK>xGlR&+3EX~bBq3>uwqJQ+*vpi|<@U;UA
zWo2bSuqtsY`l1GdW<jAuU3@sateo3!!#aLeRlW}C8B(Qqdh||=bS2tDVJdC6R+`V3
zLPO7Tww^VY*T8jiC{ZeOYD+OcOvp{1s;2h@*wl$h&89z5aZ>88b~IpCpR}cFIW;D~
z7}U^Jx&K@p*uTIThVK36`MXygTWh3~BCQkRhx7GSfy|_9nF7XIT1u}EEjhE#cAd85
zi6%{09W<e>TemV+)<J7k*^1u~p8DbQPsh%$&!Yg%+AaJ_Y22gHVMVWYf*Zn#?j&XZ
zghfcvj*^S5S=20e(8T)&?L|8#hzpPI`3Q<$(BS1!*Mv!h4|bgu_Ci=Cpw|d1<AGiO
z`s})G%Z@K6&#D$@PAe)ZrVs{d##wRD?RRjZcbt};oxOot4{cr*!ce%;-F&QcAAv5N
z4~=b^KxmCJnM^4n%&n<|LzPk0a>T^oSM62k_we+rTy?%a;SfRk(~+}VbW(Erb)IHU
z@4jW3S-x`pL$`m4lMJsr<;Q?cTy3kwaQqqa-n5h!j*YtXI$P{$@F_j+-S!5{D&Lt~
zV+Es}tl9Ru>w%Zs2<H2h3rp%ljl%t+s>Gy}Bqb%a{IoIYhn}yn?{A@gg#ma3C62mk
z_=}?Wu>)Jy=LqHG<bc>>{zW?+j(>A5RH|Qxn%<)YW0zOBhC{r5`sW-0|Cf9#iqv@!
z>%gs?+joC_++D@1mr@M7E&{myOPho_(ES?dAjp9gTd1NLQq3)Y^j_{~xA^JP`d!hS
za9()?(D4X+y8YhkQKS7Sf_sE={s=F%C<|)dg=0IiBJRHWGW&t&Ep}~kkcM92E_5YB
z{A8Db1dXuz{jkrwr8POZxw`8$RO0I@q}ML0itk<}*!hi_L1kI)bzSY1Z<YM9Wpang
z6?1bewkX}Bcs&+j8)5pC#DMubdv-Fy7Z}G1=cebGzzx%i3kyRJ-SSqQ=z!+Z@lm%g
zg-e`;O>gEv)+K~E{k1jAOwiuZ@e}Q;wrJ_f^W)v*Sdf!Mct`Y4qdMOi52pX4)~ytq
zPG7nX-_}SgWad-0-r5qOy9kN+?9AGRhK3})wE{8s-v+;G%v(S1>h4}RaUPUcc2#w9
zzrrPN=Cudc>6Vt395YMHcpIpYtfr2@CYBceT=Q2zY~C0o@)SA|9p`60%N;-KC+jWu
zQCNGOZ7-8q)(2ZznmslTG`!xm4L;;<dC;zP=Y&^UDTHg@^1iU;L^jlK60g10TPvar
ziV4F5rP9kMCkj)(#*Km`En3%KY`2XFRl2nm!n>;Z56PfA=w$yl)14fHjWEr6xZHej
zL)<z#M#u6Wh4I6G6-(0&U#9-W30?m1k1~CXFzNf(h?W2Q+}v;WcUj&%<FBeL>OWN6
z|M!i*wTnUX!T-pi*l(b7T{0&lBV&K$;N}<mLZrPn=4nkF%+t6vQ2}MBg`!L-6Oa19
zJ;^ztiL6a;RQq@I*M#Z{if(V%p3C{1sOdX$T6DMV)?-ixl_&)`)!S;;1+i+?giZhN
z7xTY%oZ%paL-^C2>-9%Yzv%7-&HK*@!bQ|e=Qn!)<b8I_36t&XZx5C`nAzAQc{w}p
zyR*r2?QV$;4_At<Qi2QfLC??ZqvZ0B6gbg)bs`7Rw5y>k&^?e9=7{9xWM$1c^NOL5
zKWEi8fKo@gzqb^qp4qF^|LFNA^|M<VT)e#c+@QcZ2jXnQpqk8EQTe-?d?OS&{TObr
zog3E}uabhg<F$+V2@jq-@0n0MzsGySCjSaq0-Yc_lxad(;>I4ZEZ+X$oyheAP>Y1a
zvTM}W0SO^OW*Mi+?i%CYn{=9UUH*u526S@OgS7;W$XbDfl}hqk)~`MvvgHJSMZ}#n
zRZtpxdszsM3YB<8n_@M#(@Jm8XJ<5i)OdYn-)ZPp2n^gYYDXmkj3}+k?-Sa-ToYfZ
zEVO0)?M1z{@yE~36vI7)B2n7kaq-Bb(yf%Rd(U64`}x+yMOHonqJDX8z+<Egcy1T|
zYEb6z(=P(yW%Pv7j(qMMzU9O>0JYKcdv8bc+Kbc;^)Mh8q14j3`<CO2ee-=FIgVxw
z&wNKwZi5<?$~`(6U0GOalU?1RTbm+RsF^@dyW}tMh4l5-@^5cyZ1{5JdklK?)81SF
z?63|*z1N(1A{8R_HM8l3zQBYLaCVE4QK0mA76BHK?ONgf{#;rYlUeBihsJGap76bv
z4aM7V>fG*I)3EaXgsTDUb)o3U!A_7#>q+i>BwW%H&?UfYuQG-;b@|UI4<oF)d+4*)
zmf!Duv2!FYaq(TA{PPxzcIA_Ei%ZSz$=E>C+GKTCf)+Zk%j2p*QHA>nieV<5-=LH`
z)zF6%Yu8%^7}Eu$yC~~|$kXSyoN&}zduvl-$mpe+Pfct%Tz-$a+OdqKGV@~I{M8Ha
zFXO7YX_mU!RIiwDulD<8V721Ko(S7aySJbAsqaWg#zw^2py}uK+x*aUK`XR=AMs07
zY?_by#g)BKHrnQGVP|LO2@2=96`8j;<-U6Pavx0E*fp4`5+R!#J^Sw0%(j~Rdqrfg
z2msB>xAJ-zuw}FS&K;xd@^;Q*?H0uvt~FUfztrY%VBmZ|)|x99Yw%m?1FD!^^)A|^
zqm~bXd*C^ZArm+>q25nC_UxcksVeNCwF*K|T>I>|nj@@ZCw(l)zl{I!mzr!qbRWCB
zLsw4ZZ#`h~D(R5pN$5hEg6bU7l`|*=TYB-LqvPNS$PuJhR2Ee5R2^#`)`yD$8cmZN
z{Ir@OO}P2(9IbK<pBq(9(O}(wHLo?oVkrLnXWFazXoKM~MUyK2$mT|-IY2lj_p4T(
z((`@uTYpiC*Lpr}g#fV6<G2uV#<bkF>@|l^`ua`>UKfG(AFdGGgzMS$UjM9Lpi>gE
z+k|=gXJ;DOmFvEr=zH%7bJ}}1Y@$s@r-;-<NekBI2`Bu=0`C~*9|hi@XIivxZBhW5
zcsUXRh9Vx<gH698$Y$+@T7W2mV(7A%g+1R5;x2OVxhK~SY!D*bdR}E6LGDBxIdWus
zCO25%1*vSocExiu<^Zrepv6Y{&ZfvUQZ`VzwF`S>XJey9B$I=YG~~pCZ8~kip`)!?
z5pM484+k|;*K`XXgf^oOklmFG`H-bI)`@&?D0YcI_<TjLMkI~pL+0q8J&wh0y?yNZ
zojYruJ7?d1eH$`XLC)B9*uD-ut*z#eKU}>kfwtba#o5zyT)Sd-<lx{ZrxTtqeA}<X
zWf{+fD~v%T=L5XEeI<dEo12Obo1dvU;?`~}<nHO_#-BXH`8!^^9glSm>gwt(-hay*
zHKEvl;i+g4z$uXl4mA~WdJJ!D6o6%h2_gL0mJ?1Z0#`^<qp8DyqWOw;Wiw5cHE;xI
zt}2C^ddh2L498jj)twNje?pShgIJge<~oUr{`o=Q-LLj>wbP#6?_cOL(VYIjR?+3|
zuLlSIv4|eN-1=9eW8r~A{|m~N7xe#B?DYQ(QGWwv5I~;VDp_tm_HxZqBx=Zh^NA+^
z7y40<pj1}=+pz3+FY|A6*R14qJf|P&cLZ#~+VqBTZ3h)~e$T<Zw<g{~gwel3PldZ?
zW01y8i;9ZA+w?{h0K)aF)a%p}fMQGlmoWURuFQVvET>&vU_pOdH%Nw}`WLB15VfS)
zy#Yu%N4>G>P5PbkZ=Z-?<9d8G<?NQCm3@uFJ{+VSBMrf3w1+#)exOZWpoZ<f#Tc2M
z+g0YkXl?aV^WHOYUV<h9jXJhlPHevJ^?21EB|>KzZc}p$oxg-buI2z2Z!hEWtwJ}I
z?zuGq?Mh`ix;(hcXD@W{@`sqZJA;+qBQHDgr1`x&g1+7!TBrZknKuHqO0?{5MXwv%
ziPtX%Zyi{F@8{J@@-aSotkb_pQW&%w;<`2Kbw7xd7Mbo}x!&|votDoaRym!yVXq6m
z1(VvkM>uPrU&wI98GA#SrgQt!{EQE)IO#+rtN864(V51BdMSZEmmJo34#zGsnf-7n
z+}eq)gPRSNt>v7ql!A1zd!c)pAXsn$%LM^WepnM!Y3#~Dcx^8R=W+*xmDN$TU~55!
zyM8*YE@R&K__i^woLsO^g?(SQv#RcqVQ=~=pT++E^KKt-(k4EgndrsOd>OJ1W|TYs
z)<B+=O&nzfeCaq;tnDO*+>%UwXq>f!Qb3*`%?3S|gBV#^+3=r2`@G+ZI%Vn@@*JZF
z#<$4S?$YYwk|WPzu^2pvfb4g<OT%K>uZW{`m}TF$lZ0hy8Snj?=~pHi5u2JB&<*KF
zIgn?WZV?C5KQ&=Yv2Fe>Y=&!*u32^)e#nKk#f~u42D&jtwbqpMm`oJe4Q~DQfwczc
z-UMI87vQ!1<>|xJ>nqWg2Az2^9xH_MC;?I7oJn<6aZ-SKf2mFyudo0;^*GAinmF6*
zN2?Z*P}*$RCh;oqfw9)~=PJSDC{@d;1kfMKb<!ELCfL?Gt~g*q?P_vYgJv4|wUqj=
z*+f@Ir|FT;vtyq>lXF0pIVyR63EI-Y{{rWr0@`WKC=QV^<|IQdjq#a81{D;=#7|Fw
zD6D@qTm`o?3|0b#uTxVhhMlrPLUm*LZtW+ib+!FXZta3A_&!_WZ1`(lVdzzNzpTWY
zSl<v=zQue3T#$A+HPsQTtCaV86$OI`3?^Q};nhK8OR(7bnn-MqH#IeQGV8DfE}u$z
zfdn&d$6aYA$nSYTb5ay$DmA2HsTfsaf#o)X`N#=8$mrQWxx|47T0&t#F61^ATd}|P
z31&72`lBvGE3tNID+{r~5=z!Kp1W3JPZAj8OXPyxK<kT}KO9}{iN%g(b_w1;-WyFA
zNTJ2q`8FJZi_)|C93Ge37M+X($SWd)*q789%E!;n%xF(WYK@n2AF4F|B(ZB3znMy<
zK7l+2-8^m!YwWZS;r6(Q5Os8J)M|PXqh!Ypr%uk#e|=mP;;I=&H!TWu4*dek=bl;2
zn{87!+rMt$m~o}72i}H9+>R1?b;Il^qBkh5kWP`U9fm9Gyp~EArj9w*-_2<ar?aK#
ztU>TEPSb|dnpd21`m*s0^Gl2TssbRSdrdzK!*{<3<aXaFJiDu;YPP@nW;}FUSMIAV
z-yUL54;@kADf>wa30W{SEggdOji_~){*nBVOu}5fQ@D2)6UV&UD{wGd2l_A(N5h?2
zMfBhS@sZqhc?XNy#;N<WV77WY*9AI&T#Hhz>VPMHSp={%w7pOi+ctPKi9u&kLGM8a
zqub}KntK`#_odPMFeX?mA@NlKpvZg_A&2OS@v2-_P)oKoChwqt0D=y@h7?VCN+ep2
zcNVY|3)=c1Xj&#Uj0~Vyo}i|99pq2SJzRr9O|gPVG|g_?=_^@IB5~v~O5pn>Uc2%7
z)Ry!Z(}p%!hoA^LdK9*z*v5^?YH*QTAQSv6{=vxl!01cP&d$$?#5#N$D73r<L!Pb<
z7q>8&*CZnGs9Y^0kkh+ZOOCX|wl$i5c!y{Pw-50V1jm3KlU?L8RRM!a!c2WVm!n3q
z{-%GI^*JW7y31XSP9ly{8tVcXW8A>TGu#1~xVYNwu!O@HpFTM|V6m*Cb2&Dn+z_~Z
zeQ9z4wvhcu!ee-$L()*A7KbvOW7gLPoxWBT_EieC(lcBxyBk=#>Rn!xNjxeL_&>Y+
zgz07Rdt=ee){VW6Gbn479!C%$lrr4AQB>3jQR3FbV(k)!He+P*-T0v?I2==tfD}bh
zrx*w|3SOe(TV0DBG`#z%U-OZb6=f(-0!Dcr0&5e>WM8_r4@g3c2P`|#)W6?Jf{|RI
z!5Te4C&j*wDB=s#vJI4$_ztBLCUL}y%&<?3mYE-><A^#|iah2S<EmLr<%Mcj-b#(R
z<PR#}t!EOKtrGsbThILW_SMM^5V2r_RE!B&vmM7f$<4K)OitlJ>?CKGgoJxTVILd~
z?3!I(p}*qeV@%a#<^u5IVEaS~hCmc}x`Yn<OfAl|7u3MfwIEHJ+vFVTT~@{oS-gi?
zI#l}t#4Q<7gIf??yK82D$gAJvK_vDvn0kleoSI5QxgCw#0aC9sAhfP(Aa5CKnwmOf
zkC93pY6g8Oul6zSU5Rq~>g~4PRiMN%4FBDGdsn<qy;fN!*a5cogQ%Qxkia;C$yG|H
z*ncx)t7pg~(&ClTLpdPh4Fa<q6+##y_iixNjZ%kwS^yRVIYc5ZQ}V|?ty+H!F^i9Q
zoW-QUaoOOd2^%QrMN_GKEdg|04{2xwMbQ^OKGTaw)jn}box3xr`zsQK`eUwsP;3HK
zVtX{#zrvnS1lkJcJuY1u5=E4Fua1N9l(<YSR7S<*f~_m;BYfbh+!(h3_NAFwK-fwA
zSd{hbz#vA6Ka+_Lt3s6oMhfywKa3HH^JEZ~dML@6LxxN!Gt$g+4d+<Tf5t2Ya_=xi
z;(p9wU0r(__CzU>n1aPFcETrmTD|dHmXyg966SPErJx{esM}qD=z7{|`Wre)&Z;{U
zW15N|%0)Dd<uE5tp0u|$(9DjRdY#TuLq6F1wbpQ)v(-x?Q7u5tD>at_%Adui26%0s
zQ9h`~f}R>X43Xb4jHYDUlL)axp#1g@Fi#GMXzGHzIw-!Z1|7UW#mfZ2IA>{GvgjQ9
z*>@yCi0bB2tLCcN**&5fo+fsIHKfIX>nmx-*Q^T#bBhtUX7!pV1*~tLt9>}rB)lIh
zB6j-K&>=(lzN5Tu-w2#c)Vf#N!W;=A@tlJJM*gy2*%aX4NcE(Kw2Fss#UYGyiXm&D
zp@L0d<ZbXa*~AbRn9@BM&{!p%ejOMT6cm9c!U^++NCbWPdK4d#8h#C8a8kCH2z15t
zh5C!Lpx@%}{&LPoQtqxOmYr!RkFGFh=a3$X8jBST-Dq5uzts%ew%uap8kM+dqVdAv
z4mkT3{f6};C7vv7<Y*UvNp#C4Yt|M-g;kMAq|~8q2-v#&Fd#DLU~fP!gz>x=*nO3j
zgUIIf12BsRg}z3Kojd0r2e1HAR>{oG9^-+39rrZKEqb8?LT@DF_|zhixNQMfU(b%^
z%UPG0v#W_&#G6>+R-+(8c|kFrw$kG6wLmc}wukwo8aL}VoE{_Mr&gs(n1y#Y2E1hn
z_Ct$&UW5}!7lBTA9SqGoa7U?pi~>QN2zK>N5oJhp!p`CYl?&-0GacN1j0XZJ{wcoP
zSQZ1nm<>{B_R>;|z0#tdY(aFoE5}7TM9`KsMM-xRx2Q{s3LX1_q073Bwql11$w~M5
zKY0rZX+|jxE_y9Qq7<W(60XZWlGFg&grP7chcRGqAb5(>!D7Q)UpIpPV+}sEm`Kc2
zDjP(WAr)gn)w(OXOD*(BEue(}&xZlxfNy#DG>hybBd*zhqlBuMOSz=W;Lup~o6@(%
zzZO;qP^_|Wb3_4|cr*p17$0E{A3T^>Syd%4!eUdRhsF>bFyzh#<<4Y_e-Rnj+(gi3
zC_c*He(7Mp)Q%mR=SU12P?*ycz|?CVv@VA0Wr2?(BWIx@!XDh`((Or^o$kilq(LQ}
zbvbee8Gum{W}E^Jfqh50i^#r*jHeF2@GAh_#)c$yY06~HE@g}l1D3~DT5#F75&066
zRNZAgd)|oEq>}#9=>wm45SsJzfx2S>j=X?3K|ML;V~DSdlF|uj2jI-OqICsg<qNzm
zK&$Wp$U6pUaq2rCp&@3%y_zw7*!|Jk&tj(DLnsZ4$Y(7>gye-+lYpz`uKDIxPA#01
z=UbLbdsB!*e^v=@ZxCGih9)EYiP~NW()A&U4$rs|rr$`v3P4|rrbD1#cBSjTwEHjb
zp#Nkh^uND=`TQqyrT_28qph4N`Dq)H*dn-fHOAi5pfhHu3!{rDxQ~FIT+g8%T?BZ8
z><{Gk3#h(RQ)MS#Ojds$g_B%Pc8-RM0<T90htvXOB?}qLLQ4G>um}D9`%^Dse6aGv
zpE2XHLjxG4l!Sz@S0H%5&*$5ESFh%QGl>K28iGdX*NL#`1yei^+&-(mc9cQXa)=%p
zg`@L!Ir5&=&~-tq3n1k697Q+sfrR{Md6RQ1#DGA2Ac`D_AH$oQ@j(8FybnVkX-Mkx
z>8D<wgiO;6j|SN;M^HPLBJiK--G$5Ch=Y{qfvdX9Z(I8-#34}3I)}x=ZAAblzIX55
zt%^(g0vU}r<eJv_2!pBLLMkff670Z&VIKb1_86XS>ZP~KEQL|!SrS9q0_2de*s4+_
zSGueV>Y{)nP<#4QK-IR}JAhf>hc1RJMUS>69_97LoxyU2mJmD&BwevnZzqDBu%KfH
zg0Q>d@<8ewzN$RcsC{Ji6Do^1TK0K8oVZS|Md$F^?1bka&==zEou{Vxpd@B01{LT5
zF1K2bPVR*tWn&);e5TUnyXg6*C{M_6Z3@0I5KB`cCFrk7oAoWrcX@Y@_mz(<A!=zR
zidbC4!eT^^H!6pG;LW=6)nvh2rONTLa*L@1D3tEN)u^OS=EQ2t=1r}l_`dv3JAA-}
zgm@lEN7e4ltVFA+&BBeeUIt>Pqgq=Ibd5DeNh#e{TSKFR32JLAqbXoDVRuklo01k$
z4LVR2z$2i)KUZ=0m~L?2K$ivbSZX9PLk3Y{Q^4ZTMOQp3HPp(?8>)%H?_GHF?sOfm
zzJf2Hh6fbHR-Ju$e|~$QFnO8u7#G2be2B-BR|=jK#$WyV3}RhRJIEs^pg38KF)u?O
zH!N1!Lv^Pm3In30v6xvgadD1`DHJ5^tgvmM68hv)9~2Gkk^1Y+x?oQr95keweb0rn
zdIcAX%7tkjdO1#*uJV3+UPD1$1uJ*0TxsuCvB2wQ$btNwhd6-t8G1kD6vWEE%&_%s
zXuza~ec=P~!9}qkSkL^5X@*R0%Jf4zd_@z=V5F9(&fr6pHQ=OFse16BH{$XeRj3tD
zBrf6bA_{(J$o1(=;)f`Pu?^dkx{g(;6Yg>Q9jt;9Qh@ZeVV2x5fTXe_m7BaTpFbGN
zNB=q+Khgr$!PL)i^bk>1l@Wp^4p@Apm&Eu4W3i+Tz)|Y>OOTI~bb==O(?NX;VDtFx
z*<gSR5#*0y$hx~WZf3(4Oa25lP+p_%x^87t|H8p8Q!)3=#>nRf08L<%>tN)gQA<wQ
z^`b`)$^TJVZLW{VOsIq44DcJ=ikQkW^1kNE>036;AfGLy@*}+LKV|v}DBu~!KvcKS
z9NVUesjNiw!W!Ef;hVYuo2QU&OM%~b8C6zY9ju8kYK9R?lI`mPTZBYZ6sgU1I&tf=
z1Y~mJD#|o+D?BjPG}myd6cTyE3VUT3tX$I%5r#gcZLTTtnpcKEaG4=XhI5+}I@Ze5
zsyk#GHzW@9N%%$Bbpf9~J~PC39|7N>cZXAcM4sCF$4}O5F~6J2p#vL+EyIT`mqsC_
zaKKFUqnu>PM{03!Rv*m+D%6W!3`*Z{RxfbQ<rH5QEG^!RR1{3bS1nBH>rOrH%OQ?N
zNNNX7Ji=lnmD05#T2u%s737wg1LTALyZs!<KF1cL*196YI`~Mv^5<GZ1NkI;s8+2=
zNJvO81t=J;ZA@6v|3&_)$PLf4dQdR}b0c*Y)|a7t7$#f|qgV?ASP=oHH<qAoE@|iN
z5cj;H(P|0A@g_0N&Z@>X&gh@5ySW|UfB{C>ZUw4*0%Wpir8H^7wv7C0Q>!oB(pJY8
z_9V1IZT!etZVCJ=fo@UVah@zm=axyJErqPYfK>wy8i02QAgrC~G1&(4CMG^4l(>n{
zXCS)O$GG!)+n6Jd_v-h?3_ZZ~J|4ng+Wn;JUP~*qU(6)~6Z!{{SZQkz?2A{#j3*8C
zVv4~*YylEzhl>6i8^%k14_Ck@srLpA3d{_G--I@<yz;tZEWgc_J2dXb(U(e(SuJo{
zG%a#*&)c#Mr=!H}a4tI6=FT?K1r1VkeOp|9wU1Wnn15CcY?NOhS3)yES2?I#ZWZ<F
zm>n|i&d5PZB&H?}WmsfCC;T`fB($jybNpBHWr~;q8_opOD$nBkFg|v8eHr;_55%<$
z<)xVZ<w-(9X+AJ<xH|H;uR|o(7|L^i&=c?rTa5V&j?(;&w@?mXWtW3a`yt2=Ne1#!
zaAz501S3+t&@dw`v|tXctE;<|nI01llyK&>j+(?+5QzpRAU%N)1u%jo-Bh(lqH)ZN
zBwG5;U664))NSnZl=$f<jfzfpDdVYF&_P#jY>&*ZHn6%s=6|oIF%hLh>s%vb_zQJ|
zp*wO&0vCP<1&^zN?54Z;OY~HoyU~<aFt?hu(J)6N0AaG`io5>G^&Q$5&*yLRZD7OE
zui_$L>EjXV(P!G19<ek{(1ge3q{pz_!9<P?0Vc9OQ`)d;1Q5JKn`_aS^g_RgU=Gr(
z#pjLBB{|%nq4$qv986h3OjR{2*9R3+@s92iZlFYM0|kkxGV<uoU9XDg>`4a>1qfMb
z#yMY;2>`T^oHEPsM62x>H$ID}<QFKq+zu}Nrz%I>5L%Yi0-!%40;ox_bzhnatm4~M
zt;%<g8{Fw&T(c%Kkw{z<jTqfo(k<v6{l^dXjcvUaUAInPxXSODz8nUNWf)m@{9V&H
z&?*1PB89Y5SEJT4w_=tl{pxs9%2bu{R5?PyYaBe-KXz9kY0h>KN(N9>V5KekcbGs7
z)tIhVAu)mZ?6??Jo`B3$-9^&m@K3wUAk(4A1_xoWmOyXzXqxFb-rQUrN@84^qlpO}
zsM~07brFm8_~PEHZ5IqmvK}c7`njj0o|Z%ISc1ZUjnt$;Q76<pqK9mtaDn5QN^ZV#
znC?bN9ilZa-FaU?B!=_>j;kz&wIU)#d$zqB_U++wUyf8tI1b)5kXJTA$~`5Ge|`HR
zM{DGR4PjNhA`-cf#_dSS4TT6Xn9=}EteH;@0SZ*8*3P25ev*<};>SAs0@P)p$azE}
z3u=W%3hxeGkoC2Tf`z;xJ!Ts8J_Esl?<Mddo*r1N$>}LD(lbGBbu;U|U!*)yC^mAu
zIh@xqc2%>cCchCaSP+Gfq)}V-rKg<NqSB_Krtw2PFT}3C1K^4DOU9UfrY^9{k5K?q
z=R00E4zl97w}eYY3{|N=CT$FmyV>g~sp)gcr@Lp+%?#+ba*W#PFd%^YI-r+~ANPXb
z{XCm7Ruw(O#`H2_DeD-`-JsRmdLTr4ySo}XW@rj2)_o453tv%Ta1&5)$3D2Ol>wy>
z{pbY(kSb_46dWAn(-+(Un43fL?qX105c%j`A;cHkZN556SE}AE)LVhmxpJ&2en`Bf
zGU`p#K{buD^{f!1Z8{?%E%qNS$QHy3=dGykzbymlb`Fv(<H`W=tUQ`TTlz8YO5$B^
zmxc^rd+`j(P`h4u&c~l4&RTy=cw&+Sr?5ZfH53fc8kH*7Ivb{U5}FXgz(Ag309HbD
z2{Xz|f?NR-?wUtRYql5k9iyGV8U%YFHua(BGYo3h$o&><M=E&YQGaCTBL{cYoo%hO
zfwy<%^m^1KY}%oLq_lDEwbh4iZjb9gNDBaAn5kDN61o`jWSaj{;NpB12NLHN%e0%`
z7qgLa3D`%lQ6wnsk&?3hTv1a`={h~tg;4{YZ7ql#;(Z`Mi(U|K3aJQJ#Y9T!%s*Y`
zUQ)xZVK$JZoUmYUksbrIJuWnMHYhx`zV*sOQHyE?#^4Q}&8N~&98QF-{O~hOz&NvL
zEYg|?v7l_VEvew#`vhG7N@=UahATv(tKw{skb<PJvO+$>lfb5sGWHpV<tJSVfTAlS
z4)AneHgP{NpZNxMw>CpT>lYK2*pTu|;%F=_{I>V)u9+jp<GM}l2Z8VTte8$gVE{r~
z-Ct@bfF-&$zr!sws|Ji`V^dh_bl>fcH?al3jdArAX!NZ@7T~lT*8#BfIG~ox=`ke`
zY{G+JV{HG@Tfw(MP+63O<`mQP!(XT@H^5=w_#ptZOwh^khVUdqc7}*6a6H0HcDcid
zQ?v=8YYaZjH%=KWa}m$XcxM|0Z-;|%cmhanp_f+~IDt?YNMR|k$DgqmFrrrUf;m13
zj$lf}4-W20HEZfF<TD0+9zMzfwvE0o9c&?Ifld*$9AVh1INCYhY%BhK%%2SVJzJl;
zq3%5Fa?VakNj4OaDc>L;u;IxHy4|itjdd#+Hm?|CXu^<VN<4aj*$1R2%x5pM<mM0%
ze?7fJe4E=LhHXKocGc!knc8xgc`YaBrR6Ho+>E1qSMtKnJ;;$xgF2H^ZI^+(mlnYK
z!*c~`7W{#{qlIwQ#_5VM+9a+F27EC8TTC!dk8v=@1Jn-!BZ0FHXmvF!`3+?Ic-$AE
zypZloqH)zQ?0-NGO8_47Hb(dHr9EJmtb~SMackrpv~f;KkJ;bSw<QfIBEw=hgnzX4
zH5=<0M4a<Ftk2Xn$ttu{a%qtK>fz;Nf}QXr)DFX`9wKqp66-$zX_-_RlIv{HobV}J
z_n-)#>IrEO2qOln7U82FxUaPMa3j|ey-c_L8^F`pRoTEtwN_+iu+%m&K+qQ=;i15D
z`p71L)UjMX(=`wr&DTUc33wTxS}Q2}5cb5_1b+k*!W}F<JzM3pj%k%kf7*q11U}&+
zP$>P!3wPI&(j|%Dhtj!TiZ3wIG7lH5m)Z>Pau(G2srO#?1~0`oPQSn>R~)0|UJfrf
zBG`k89oimWq2JRK)i$Jpu=|MRwefM%xVA&$5V3LA>y@bkd_`lc<xlXnz|#VX!3WyX
zi67`FY7RLO4zcKzOLX99i_6W~BV@o$)EHjdF)~cq2)Ec>5@1hA9m1p3{h43yq6C2%
zRnHi2wfL1e)ALnB<4F`FU8O`*!HE=}?m>EGw|eauzB_q{j|q?q{__z36<cEPj&X$7
zsi|xiW%R*l^8DjMI<FIxdupl(><=qrhi+n08Jgp^i&Z8d9uETe`gqDx!aUCyxA<pN
zKqCi-SyE%8>9~gG630a=JbH9yx)Bu-KNPRRH|iLf-$+D7eVXAUqWX;aDql}BRsJZc
zsd|9aANotV8Iq&1D0<@5l5{|C7n-&d@iB`RS$OkJ*HKbbSf~Pe=TEv9@06KIE2o$W
z-of*$MpY(j4pSn-lKZkEPBO0#`uXer{zR{rJU{sn<&Zi^={>A3h`5-zROMpOqv#@%
zp;9F1K?$zjSu)aT)Vt!sA~aXd_4>h6r5>iu#iIl)4W@|DHLPRC3L)=3!RMH}yR4YI
zzoZG;f_33U3Q!U^@Cn27Wah+O1W8VI%mSb2q0g9bc0!n^vDWdh6D+QX7AaG=SEq0D
zlRv95x~W4`C?02KxR;E}nCSDf7tfTu=y_Tz6hs7~l;3w3#Ai-BVsr@sL1Bi>f*=!m
zk2+pUg}viVNn>-33Fx7tBI0IQ=M4D;rKM&|?@`hi{`8_ZQ{@@1S!_%?eu&VLTCtGT
zxKtp?nn!UkQ`E+*?U`Y3E6VZO@@#ARgR82wyYSk(+4Qo^mZcq-Mk8GD1bt+DY&re3
zx~1bnj|t_gUUp!|R9uQ%lykZnhl+1F!>aQCP<2RejuY^Kl=v*PIn-$)4y8=UpcrVG
zD`9lw1A;Vr6yR1X?dp{=+PHCNgNsPshC@Yyc)BU)j&aJE%Hq)V79Sp=r%^L<x@Je@
zWP-eZczEK}V9Es?p-`_MKSYav2FbmZ+7)CO-{+_6*r>SBx9PM?2c|m2b~4hyF{xg{
zAUtn+;bZ+m>_WQg<DrxmiUWS(gcCpC<u3JdVo3C_zF~>4JG;@C2q*ptOyY*_2qHRp
zU{OS_v$b<62bJS8D#4DCshw^~{gv`@F!WI1-M3YmbxRM9knO#jQ)@wr-cAp^Ns{-i
zIZ794vA5{AiY}0g*uy3*(MQS(Z@&91k@z~SFPP^!3CmeVE<+_aHK#CsT|%S!QMy}m
zs;HKO8Tv)UIchkqY&V-5m^s~IR*Y6R+$A`8ng3<SXy_jHuDXUxhd+%cr8l~_r%47m
zJTCVtQ|GP;p|e}H+#a)63L&)|7=Ro5YtvKMbt;Re+c~o2;(|q+mKYOmoArm9Om|*m
zb|B3uqhHOX?~H=WU1m#)uMhp{e8;Z04I`OH=_P484}$V_wG2D;j?(+;X9@!4j6{En
z@VRre<@UT;Si$tdHH9y}r<f{_s-Dc^w{DjWHpk=ACFhNGWpm~pR|pIBuaZS#&#I`}
zo(lsJbR8!PV`MKC=oFCTaoX2MOp|hyFAMu`8w=tQJS^BlraKC5m#eUSUy<j@9n&xI
zp{nfPdDEEUw6JON5i<YIRV-7ze5KH}+=3qqEWml$rzwVgZe+>i(>XjVO=oZP=dcQx
z)IukUlG;qFqE$uu^g>>t;PjRCA(^@Up<^5UrL^?XY5}QU^f!&e0~o2M&Ts?#+k#f)
zEgjb=3*|A}WrHzJ{9rQf<nZYzb-&R{*C+g<kC%mvRn6ipI#eBV2B+W2cSWV9_eN*B
z(+fjuG+mUF4n_-_gL~DZ!i|oQQGYO0d`oehQZjHu%Ra-eil==76Xr{%Uq)PJ&0$>n
zygjmddV|CNcvWN^S|Zok)fw)<{B_<GuHX_ryI1M7C|Bjl)|P8^y?vs2$p~+FB}g!U
zvH#fFn@`mZC&BmY_LZG9_p&~p1Z2z`WR9~vd}PP_pf^j3>t!(ImBQYxq!%IURJr7i
z7bJ`?@tR38E*U!Iv%Z)mvvIKyHy6?g{sS^@4fo;#qj5SIlWUBVzg^qe9(4-0*rlIY
z5&G7vvAJ;^RrPo%3g2Ba-J6J_8~Zr2xLk~GC3PuGiA{eRH+0j5#MSPsdW2az%I<v2
zXl#WboBY0PZu>T&r+l4#Y;Q#nC{G0~buYHNLvp%+SMSs!_Ba~Ciap0)o1H|lQ*AMp
zd)b9wIF0wp(AhBi!sTv?410Q>S9p_K5H<J{P@jb8hccaUvt^W=#=$x=uBVG&f~(=2
z_QXuJ!n{^>eI9Hoyva~$PL-z|*-+KVY$}WgwOm%lqV?%nP8^DEFg1hfvpx@Wy7#f=
zk@^hE<eRNK>g%(Q(s@R>tUKwg2Dk?1gXo88I@zUi?9Q~FQYDUMi&!APMa)+`eKA<t
z09V6SmJ8-ym2!;0OPfr6KoL%9nO7XBrQsJW@G8-vu2Sq!MfQ$jFO1ekDMMWQ_=c7x
zl_ws-cggd--%tV-_Oz5CpFX=46TbhA-M;}Y{<W7{Jrqb=#|}!7isZtPS7J^WAJ08@
H{>J|S;g~z4

diff --git a/reference/ggplot_sir-9.png b/reference/ggplot_sir-9.png
index 2150740bc94a93657af1c79373910b0ec32c8090..c14de097a9d7456d5a0a4175553920f4a0d7efed 100644
GIT binary patch
literal 49293
zcmeFZ2UJttw=Wt%ib%21n<W%MKsr(t6$v0nkzP~;gaAS5gc59gN)I5?MS@6|UP2(s
z2Z%JKgiequEp(6)cq_{HKlh${&w1y)@x~kDj&b%tvk5zUuQk_PbNzn5IaglZ*1O5f
z$ju0WK$u}#*9{>MT3-l+<~{=*cxUK!#xi)JyRUQeI(P-g_BCuUcsc5>W$poi@P$(T
zQAJIy*h3&^Ah7FKjeS!VMvwu<8@Q!|EuZ$updaT%Xbp@{OWw(w>~lNeLnRq6eafP8
zA}FPz0$Xuwq((og;AZZ|hw~%OuJgrr<|`gmHs{Wm-BQpHI-6xFRbJyN_UYWl6Jvwx
zS0!L)&dMaV?(FYtQNuXTB;5FX-=?$Kj$gNKewSQWzIsV-I&~?a?&R-w{`Y_X-&i2}
zIoIMb&Ri|%N$?}AQ)AYZ08Kp)lX2|07_ON~3Te{JG;rLQ>owJ?X|hl@>Iy}tF&&{+
zx2f@T$}_cNm#|Xowb(U+FAAbZ<I5D;!&Ku75Q@BNrd<Mp?SD1i=V96BJ8Wq5e9HGa
zRL0!G!d?bO0XiZ)8;f485uiW)@;ddcTeqa(i>C;K$DnLFNfNWux<YF<;5Hp$QpeaY
za?aF{EDPuBdI$u0lddUr&>eGgzdHwYckbNrL#I^`Mz2;K`}2^yZv%LiE#S$5Bk+RM
zWWDTWCQmCB{(6fpM?u_d4GC6k)+W^ymnSA7k+2@VQ{ck?_05$t?&X*(H*PelMnpu+
znqAy{j}b73FNJAl2G%WER=89fpoR3)0%qRU9X;&G<0OQR>^cWaXaTf6<+9Aj`jgDx
zANDvoJ3Gf1r?os#s|eU$700n8yDRRYG5WBb2N&6qejn_hIVB~lm4v}3W*6lv`{ZoS
zIo-I#nX<gzt-tisP5Ek<a?_iGqKXRdcn;!WZy?p5D#d(5@Au~35zc`(F0PTESinlq
zLEp$KDk)OCcHzb7IKAwM9yWd+yVsm{{6fRDf0}s7>@wT3w$dGRxK!r@<)1aAyb*mz
zR*!HfPQ=M%=`j;wa1H9!mU6k&9G#SuR9HgLD<#+{^z%^t`8aCqp)FoZx=D92s77sQ
z<;t0l?G|FNY$nHWXqI74=#x)lu3*6WwEfTUvgpT_eX+oba7Wav&2*-V%%1J@;^^t?
z^I@8)+d-15XGjUM-L02@-xyWTX(!*7C^Hk58OR4=DX==`8<t;QLTD=GlN1rr5<Yn}
zClA^X-K=GJ?OH>{Z4u8T41L3oWqqitbdwcNSR;Qt=I*6mRhX%bjSVqqBDf$+Y8r_a
z(sBOM+KP2+K?^2_`le_56tVLg+^k=vZ)p!-ccRkI(r(VRZxU8XE_&F^9*^67@3=;l
zX+QHaJI`bIds@4~{>B}~rXkg2R!(NOOSVIuX;T9M+l$I_-XmgZ?eyWVM~w7(NU&x<
zdEy%%8>6eO@}1K(nys5264CQVG<V8qM&tNV!BfWgp;KMlcCSkKmKGKkwu8!89d)B>
zYHBvn5+ou&<MYqxX`$E_7~0s}e47ux*dB6aY?weG+_JZ~|86W=E^+duZedOi*E-g=
z&x<JE#4FeTsKKkPwKL7BYt~9^H{`tT-p>nIONW4QgiX8Y>W>#IvHR<7Jx{leupn~A
zSGSa!`9|h?15OcYeYNkkR^%5Iplly7zUl`3*+?>7W2<lxOI*)(e2<h9xMWe0w!4+=
zqp#$aXSx=F#5q}PH&rs^j3JdflFCi=&dk4G4t-U=nHr-afchR|L{%i^V6^2t99zOy
zNznTlRO6;-#{xb1GEV5^OJQiBYvU`nc8}?{qZaTb`6jD+&)F^?!JOROxy|-u1tM=$
zbN#tlN19rk>U4Xusa(I5P5+6@_11<h4^w!SwZ9WsZ4#AzNVGQXl@qJxw((N+>&|L-
z%XF=`*O}9+rgylDriV^kK4625iYL%(UVU3?*F0S9p}M<NwY|C~`BAg;cZY=PR`+PK
zM?Cvd!F|q4V>P>`Y$#)ABv1z@e3y#|cy<&u^VqrEUMZEdowELXAd<(fV<Bi~+`Wlc
z>s*ZQ?Jjt+*}@~3sHkWX^upb6zv^s#FE20cE(^Q1ZJNYWf9Ay%x34*<N(^Sw73PYb
z_C`D=gwEFx<Dt!u?l*9is%PB(sRA=qiu9<4BBMzJ3pk6s@Zp3SjyIx0fH~8|=@AB{
zefr6f0|d@H=yNez2KM$-tPxVBP*<}Gmx1(98KGn?C>jxNe!sxF%w?ct3ptprm%0-J
z?eiK*RCWCw@;V;#I$p_payVNjg@}YP=Fo;<;l&(-3gHiK&d%B|8t$2*^UD)@dVA$I
z`Au)%UcREj&&p*d@z~nOPLbE-T+GkQ!_zgS8*`O4-XeB8I?$7qI?f0LqQ24x2|6yy
z%R)RiOSmmkhI#ky{@Pq`9wM$MMmvk2@0ZV!Lt_-KEHaLgR%!i4qOKHO3$a<;{g9K>
zVr*<20D75)Nr2izUE@4`q!Uw2Y;Eg1Sz@nobz6eoGQkvpjm+)r>}n2H%r1H-ly4%N
z-f$!*C5@vyiV105-@bjEA0z$~ZL7b67&t#SXM>i-aF>HX8^7+mH4z;#YhY=K)uXR7
zu{1T^`iKdoS62AP*i%DnwSUeb(en(xhjzke|Mw}yD*xx%;Yns77(=ETnq6XxFmVK_
zCw&P03Tu*mns%f5=#83(x^>h|OnLRttbAka`N9{k^>C?Lc^B_`+L+hX`Fa*diZO(@
zMNm`v?hZKuJi~S;YVpy??p0)ZMg4-_tR&VbSFF8HU!V7UGZU^Jo`uLqe6R8K*SGv!
zp6jajq2h9eZJLT+Hrtvs1w}(Rt!rgyA-@d$@ZaCr>B!|>v^}*-BW*Gm*Y>l?$H(ao
z(h%;Q?WyN98ogT-mR&B9Mp#%42t+t1Hqr5A<@cr!8P?ou&>K0phviRE^Okk{4UkZ(
z6z@zk<Ita<pSLvjnDZ^i6p#)+S|k4MRw_{ZfY6udZMiX8H)*9*_!jXr26XD-%8Gr>
zW9zWddEKp}F7!k74drMIA}Ig*#1m`5`L&4e;IXN<IeQAj=V!?fu;8-vIeQ@u%au?1
z=ZNPx(Oy-Rx3ePDJr$o{(}icd5v$<!GifOT-(s^Pw^qGDM>o%m(L#J1EV2rEzIEly
ziDS29>$}pr5{S+Qi?cVK?vIY*RE<oMD!qqL*$73uC)zZ-gqFpk57>^+FQ3yOUk=$G
z$h>+g>KV?z{o$GdzvcTbl!0c~Tm?oR+EwG^Jb)_VgIwB?u)^Xx`x0r^`2x(-3;Xco
zMD;><22&;o<kBU|Xz8n#lwaFQm(@%cX-Sak(!ruB=IfOcUhlPgwY#qRE%`@=zpqZH
z18|3x@!F?8YF7?4nt$dPHP4484|=ZHZoQzMcpCYxIbj}MOiRwDhVV9ZTx{u{i4yI}
z)?V94Wmb+?!Nb4ZZQZewF1(%a;OL{|L8G07O3U)QDpZmXh@$83p{cp2og=EfwiTd?
zRk4+M^~7Q%t;;lOU`Vo4OEOjUd$))BszK;}&+DFpWU0c=uelkU#I(m7Zts@3i&DAr
zwoW?PyM#QUQKX05wLNc5xQWh1_TFOUgwZqj(pwT7gM+reyQLbW^v#^Q2uyEto??2@
zA)e9M8&?aWvRMZ%7hrbPUHX<Rlr|0=!iS7xd=$yV`L>_A8{##dRvEea{8-1>a??Sh
znxF;=SG}5=Ma8eO5PUSRkbNK>{E|J&8)IGIra#*(9KN!r1Rml4`w_VZO)}`XMezz#
z1VIMv=I4`5Xq53E?^zL5{=%~pvT0j!UIJD#+iy7KQ=iePpqVb(+Q%WxKKs3ZZ--Qz
zCCdB7@E+ufNv1Wy@gtoP-NV_)XHPVD9+>Z6-32p_i5?j6ZV%H|yZ`6%9fGoQZ(6ax
zOOqm-0Mvy~_h33LthFo4(JVXuLoNg4nnKcHQ@c$31K^?OPQ8k2CQ?yB@Mksg#~_?+
z4S}VjN!|ec6^Jr(l2<2->8)YP{riq=^yTkv)HoVp3sbFfS5XFo+Hhq<${n<+HSP09
zX;JsMB1+Vr%JoZML9fqLU``hH+MjyGLZ+pLpi*vvTQ6tbtn~i*^nqq%jKu!@W?*FS
z)X)2Yfrc&7yTRT889^%sq0Y&tKrC434qhp?ry2ah4EY!gMiKPclI}xugQfTUuP3O;
zc2=fcZeUs#Az_+Pcg27w7=#WZZ08N2JE~m-g2_mKf7KG!7Y0@_bDaMM8@jNV&=I$u
zff1$&!AB)XSPv$-wtaqnEZYJe>|B7m-i1Z8H{UPL-t@RNqrH=f;VL$BX}E+q0eSoa
zE~sFMB>Z)EjC_nQlb9lJqwf|rUnzbRm)`cFO)AMesYop90wE{#Zm16gzaQbrJo@Q1
z)!fQG=}d(QryB!*0Z0=bor3h?W(h5dUVl(O?Ey_SGBNQUnNi!S_SmJbh|z+6>*+BT
zn=Qp9W$V;jj&0f70$p;r$UfAMY<og`tf{(i_jUOuVRLg+?CaOB?{)mMN=iz~Dk?S;
zaJwdV?o7Fk)^0n&7x@65c!q@pIB7l_4bqVqR_WbUs3s;^<sxoLs6HTP6^?Wr%)Yr#
zHmZ*Zf<Vs0G4N%UihO;<K`{=F`;y&!nm4zV1_JpxF-D7tJd=K~Hxoq|b>C`z{`|Q;
z;B$|xeQGH*K<~=~X>x;Y<HSl{FB_@u-`Ji`jlN+u#<6Fq`vCym&ajYIuU;X!d3d@3
z;=2V?FCmO_L}=~?5G!2<9%n*trKxP|MIpGrD55Y!3ZyRDBDZeJzj;0<S1rs|K;Q%x
zyR*J{VZKx?hR_&1QkQMpIYF#k=<tukl>0wMT4k&}f6DkAELbnjXH$=QD)EtmcAf%W
zX$J5g7HVm0OEk2!L?&Q}+BK6N>AS;aX;Q!+q?(2=z!G&G+yVp1%4io?S69o6>{z|7
zbZ9CsOQ_gRDybW70~k3@{pj8k3|bCO2%mRi2yGBHgLClM?Pt`~C{1ms0y{yXr7QB<
zt}Pj|s@gh=jhy$2-+(##Efg_*JBCGnHOpg2&ZB~$PQ<|lx%C$Ix74>hRD@=`Je2~A
zF`<G^6sqY}L<kJpUY)Ys*{DPZotbrl-GfOA{G4p!gcsaVN|o<QtEtn0s#*d3<*fA^
z4*qJ>O4x|OG&U!|S5|1|mE%g((6R{KPk+5eQyTQxg|?`ClT6C?*zBG%gaP#GT~uKt
z*uuG{TR{bQ{UF)XyZ)M_c2X~v_i6d23XBiP4=%4U@87@A%P;TFFYjZXRs%Pp99O;;
zv(*;P%O9bpg4F<rd%Rd^jlB=3`%B=1((uK;-f~9M!g;+VF1zqVaO1#=%V2KF!waCP
zU0Bt4ZPn9EbO^Y!bB#$C%@23qB+L!M;0<8^RQ2Hf>oC^pLhReRy1Ite-GI#jM@KF@
zA>Ye0sJ*=k)G#>^&%7M!`Dpf6yqKwpzZ|iHNZvVRHyYHQH;Xdpemq#sCT1!@T6eBn
zmt5jKwGfV!<GUo9f9m4$s@z1Tx;k>_`>hC@TlC>cn^CuvU8lY-Ava6EZ~r<-v-(CD
z@Abrg@S8t&usRTb5CFdq?VMHA8%nwCk;c>FLCxt0_`HN|-5w4g@-Lig*WimrfH*RS
zHq5a+6r2s#+R2e}=$!c+E_H)oVGb{?J0^ZesNtpMs@&Y%70)#?x}mC^ETO^YoMNS>
z2Z29+pb(K}LGhxZBHObq&onZ`unPXk7jw=^N-ot1>bwTxNFW_`$dV;|hS`3>y-M#2
z3zcL*p+}oRHjo?q<cNh6dMBtPBadJsmHlF*MqN4MM0v!hZGKt5f9sx~P{ieGlpTiR
zxcOwHIdxCat}UT9N%GP9=@ZN2TG1CSAiG+L*>pd>V2<JIFsktU6h>dcoWerV%^&Vn
z23^c(2@}&xLt}~^?~Fy`iMY=`od{OdPlZxK^Lj^9Q&Uxm4VxEdEQo=TY8n~0&ANsk
zNMDAbMa9JG?Fw+0k29nU4Gz}i<mX>Z(#|5>I2Y40!t?1L8ld)AVk{m53{Zj*+o=rI
z$Uu0iTX%Omgb(!Ko@`-UJj~%p?X&qjU#ic?XgL9LsL|DDl5h51#jzvhZTY5~UE79E
zf<&MxIyX1hjaciq*1qDqCx#A^Usj$+w>)qI?!9-nnK_{alm6ORv1^95*7#cuSq^s4
zowxl}zV^{e4B|Iu{Yng6>qzZZ-={B{ZXN1fm029wJH4EBSNi+8*<*m?Z;o0DB&?q=
z0&0WKEOI`md}CPuU@&j{RYj0{>E_7Vk!8MY*BN`#ub1a{P6)xp!<taM(XmuZ`<!<B
zS-Zq3Ro7Y1op#b49EWzz`PMfwSRIvG#b^&e-01~z>_ARQ0Nm~!3{BniCIPu)Y-*bQ
z`NuMa?{aJ4kw2bu?E8JRtNnQXagc*-$1&dvoWv1nAJQ-pIDTZSW1#N&1F4I6j|oD-
zcI&!w(DX>B=H#BWO*?IPlCIM16kKy{YG$dT_Q4p#?GpP5%d~wpwnVaA(KNMYcet(k
zuk@RJvL~ykms4a0Iozulo@;PuE9rERtg+s5n`H@cakb((x4MQ&5#M**t+%k~Nku&u
z$c&<XSA67zl|&0a23!8xcI9wH7i>FdYk#=^f*<3MNRbQP-+MwT3IoDXeA64Em(RAQ
zo!vy5wK$mb(oJtHp%*xr)UfV9KIfo;@c0V2Oz^|-L_w#968lz`DrfnVFDHR_gP<yI
zS+PJ)+srY_4uZCLS^GHXTLSW(hAHK3=K7X<_jfRYK&mgyP}|tG&4MV#$wYVRhkL*F
zp!lo-EVA6&0LXst4&FR@@`OIWyi-f5+iN5O{2hoUEbv8U^q^HAPK(|=2GD)Cgr3pS
z(ICXq=G@#|9L5ql!p->n{dFL`w!Riu(4N!EGK})~=sSF5<n_xO%iu1Sf`K|+d1yoQ
zXsl<w)bu0}oAQ$_dU|>u02M>cF1*^XO9w5Dme;OPPSn-QD=G?}xiXWVpPzDeR<rq$
z1l+|%cT1f=tdUeg2<qfqyKiJ<WYu+<FlYqg#Rq+cKTo?`|JW_IoJc15U<F5rWX_Kd
zW#_d0Yj>qY%FD~=p?n|G3Jdb`kY-&CPg8mReB=u0YxTeQw>yTyA^sfc=l=VYVu}Ah
z?7$egNejWpxHPVFy@X*W>ID|(Aur$_eolt|_sS$GFah$76<~8-4c4H?HW?WGs7)_O
zgJZA|dH131Z-wWrfVM2<GH{^uPb~kY&;RjhaSH|ax^rqNQpF-<Qh~sW|4949yG#;b
z4J!=*u^|v%x^uR_UdR<PYVInben^{W>hA?nnu1EX`jV21q8!T?sBQk7{XaX+0gCmX
z&vE*3!Q~tmH}jj{Ptvc?8#Qk^A>Wr9RU(GViQ7Um^Z@Eg@fG&YZDO2#pzDT~hTV)$
z03)gTVXFeU%X;|q$Hs#Wh|UL29t9(aU|161qv;jLc4@y1Ow&S`C}yJ^mls}K$f|MC
z_<nWQ`rq@$y}IWAg<@X0!UW;uK70ZT&HT7iU|?XFvmRg3>#|<5K*fB7uSGT+{l;QT
zmQwZ4Z?(^T+LoIRRx?MGG8Oett!<7>XZ!E;t9H_8o&+uMjYM%!T7hb~>T~oN&^+!S
z25{Ni@tbjVdnRGd`s%s*e<hW4)s_#@sRTA~oigU`S7;CPzo`-B8j&ZrIJZ8oVl7py
zRoc2H7d`BAa}Zc0E-2vh8!B6R2;P#yyTQS$$v-fdv8&IWsUJ7l$~l{54IBA*FMBTO
z)Xtn#W8e<|2O-iG9Gm`<UtO+h&YeYApucViDaj=0TeQ!=h~Tp15y&OzWv=BH8W|VR
zb@t&oak94z!!R8A<*WptPdf0NiqK5$%`>$<JIf7U)P)IX`%52Z*z=w3$|@LWx@cA9
zo?E_|O&HXH;>4UDfv75KNd!!!5TmZ0bRw)#o@t5Y_ev1t)evWRCyvCd>zFVD*EG1D
zH)I6biQJvyn$0Q|W|_CLRjM&F)fMS7xO%e?<D=ZY(-+~oL+;SSm5Jq;Pwle0b^nWa
zDzr(nLQok)l~+1WxP5v;%K>s1Tz2d*r8|Zhm?+pQPP?>Yp$+Ow>L3yy0ZEkmghAo_
zat<xg*Rs}K?TNb6IM76^*K6S()?4CzUbfC~IFH!uV_1D|etvCkFcE+U6_~yyeCf>Z
zqz!7=8wf^fuH9iz2IC*8s_Nr8t#^x0-fHuh<h<|@GyDANNU))4_46t5mo$+F9+rkj
z`&b@6m51OnVu7+O%k9P6Y%T<AdJ_y*s(_2^9$mAZ8Bz{um}i*W=f^nG29W=oG}s|A
z!qlZ(9X&#As>2Ah+u`p1{x^}0_YvAVG3A?e4`l~ucI)h0U-Jk$txmT1@FywLQyk;h
z4g3O@SAK|kATD0Q*J}tRu$UOq>mhPXF)425p^@V>ip)P+V%f}b#M33{?v*ua2ulP&
zczyZiGJ0K#uw*zKjwmQ9Lc~1a;pSEXzoo}|hC%J66JPy9h6YB|D(mX@`Ct{`5N8jw
z7M|5d>#>A3u#xq)oM4igncqi)?+0Ergl&0gp#gF^N*HVe{r^x{sK@tY=yyQj&FJzT
ziwbe>G;@VjCp|`uZ8kj6L^O5p_8g&ugx99ze&S)G8|s=Z6LShqhtF=WO*W;yxRYm+
z+Jm#$+Ma4nK+N_LwRb`=*@DjnaRG1Fc<l1aO=dj@wUBc=5;5!UuC9x@pNJ<Y7CB?e
zTuHa|H8oY#E4)Lr#VEsW(qfkUK+~s|C<LqV4EPb$yx+W8xXPT)Z**yLjRsN+5-XIH
zfHaWW1!t#$w-_m<2EEP5xYq|@|C6bysq_-UejdgLWFPkeitc4=qot-3T|8<EcXKBc
z(Xv=#28STI2&~8J`Qzn;G~pb(>9)l7Vl!QEQ_~!HY~`9N&VbT12+MsBM@?3j(bSE8
zV*C_*Gf3V{$0AR-vYCzB_JhU@9-B8(_b4IFX)&(MhiwIr-B@U<t<75jT`__2UK)u1
zq%mF$q)r!JyDQde&xCW#{!<Ikb-+UR)aO~lJs7%NUT`)PO<J%P{lqC#zB{|)vPMfC
z;!3c9DP{Q}MdSTNIGIKXJw2WU7<w>TvM`YP3w!tdgEGKtFVXxUFL4!w!_b7Ss>f4b
zZMp6CJ6bQ(e>S-prmLjdl})R{rtbf>x>I#)c;2RctNHqF|Bi2-X*X5obP0N8E9jtl
z#%;^F?(b7uski$}dMSh~=7NaY*Vex9`m9rp_0B^i3c;#=`*FRd5!^+vXd0du?4mt@
zoUct{!Ce<(pZ!paa!#J`FF0SIaz3zD@k8*N+xcs)tEB{TJch$tFuvF%hRUVzb&DbY
zyBRp5GF*8Nw_m<g=ub)-(%h*arYZZl`9AABdiU9s6`tqi^;IQh<<2sK-mH&^ewS|Z
zqeyg_u)AE-X>+)JL4;#+(c8CYQnjF%!gj*u!-o(1*%_bf#jf8~<lTRXxz+RrZdcr&
zi3U_vAfc?bt}f^~^c3UsLfNJO{jLWvW<Ni_K5_Gs2Wz)U-yfw+6qILE2%1?Ud7m2c
z>p2etyUyyujIequ9T!Sqszo=Z=b+r<iwmmVY%G}Y=*jA`-1#pELq(0#iXku2FKiUv
z3Mjmp=`{|;aW(qwidVa@^+<PiCLqEk_)OpGG&2{reXf<FrIBDR{`KpzxLS~isn4WT
zq>SD1tZ3ZjY^n2s+K|jMK<NOUC@UwYDmiO}c4MM@daw^N+X|iO>gwv8O#7)AVpSpb
z-jC1Eg)ahN9SB1{v9{ACsNeGT_TCI&9oiMh%geKroE_g^%(yLb(a8;@ji9jj_;_M5
zVU(BQNCyx^MvP5N*l%SS&Yz3<G6_O%;It}dpI0BJo#tL@X|Z<&bhNmkFU9zAHm2TJ
z&UUya7TUf{$t6Pb1FgH{i>5ugauU(nxFnG1jhq(}#7*`Fz?{M{`o5HusFIb>Q~yP{
zw3VLYxThZ{CrxH!73tU@cB}KRkAym9^bE}<rN^RU)<Cwao@4Y$f7N*3XRAy>R@PH{
zhYZv(2@l>GzdkPn+A{*mWhd`dG^ToCD1|V1bVQ$iJuyQIYM7)2O^aSHXA?7#?M##r
zeprAT;`AVQW$6&(F<><qQb3Fbc&P9nyuze2Z>r6-CvT;Gid^{|`DJ?%t*tpRj52*y
zfv^F&(&5WC?Fz^iJKOkm9SS>aEs31|$(-=Qxi$%Lb8^r0dbF38XO&6bP;Bl<%r_lZ
z*ex-JxniyfI$3$wtb>X|b4xVWh`URo=vHa9-dF8%<#FeSvpqvE%f3=;&csj6hu!3u
zuX-}PZCTVk@O^v=-n6YFfW>Qd3e*a_`|cK9AF3zf#yor|MDWW3H!R^do7E#Xj;uu$
zI`OWblYl64I+jV^eU>T)RwT2Er;Uw`Mc(QorE~JBdi4Y3_0KML;Zly?>Vc2Wa71fC
z`Qz3tz^ZPA2Ev>WjFHpMhBVu4P2*c2^`ae+9{gLYDsQY?|3{tR{&?d-7PrK2=LNi6
z%VI0g@Y3LS-Q`^hgvy`I0%h~%k#RuUt%%DToPM^y((Zu!epMAnijccdke-JZjC?0A
zIhOG0Lr<#STMSio6%-Ui=s3s9RwC`n)U5i*h0x29v2wB`@zac{!n4|dBPDo#R8k~Z
z=$w@Y$p{h0*ORk^iLb`NI|fMxvdgS+*M+v9Ig3X}yrM_i`Wm|}IP~G(es!<YAI0s@
zFTC6#o1a?GJk_LyCLKgShk<tBwLtz@AyscHU~*9h5Z0vawV4DRLqIESe17c+j5G@@
zasd_=3$(y<uupfF2f)&;7moqHL#Z0LX4iHR#`9X-a&v|zRry~$b)#o19`hfwRQF$?
zS@Ta!E1h(J^sCfWGmR)n!g^y1{jhiDCq|3B3)0j~)|%Oz1JW|_kOSkCVw1l5QX?OI
zvA$<xA;GE(?$~`za(h(#L#uBw27N-R05N)L+`EmHuC5TKq!BLFJkF&<P%1Wn0EYm=
zwZyC=XuIPNce7*##OncUH#rPQwNdN;SsGgD%d6q*=N@4(Kuq35A}dY*s1f35H|FOW
zI)Km07un!;G+}%>#&h5EV*%Vd_-NuJCRgT}>)%RJZ7(XzUZ1M8Fh+u*c~hxie9PQv
zbTDMevCqBfNIZ*d%ShA#R=n_4NkFPmQZ`{dgl6zRPE5@nUsz?Kc+J6MXWAlYFVO9k
zBRyVVf@9Ysp{4-1`oq$bFMCWA`+9oTFPNHw0n7RD;a9lSw6@n`T#7+o;YT0g*cK;{
zr&!|snF3;%40PnDVuw8tDR(dSz66289A57j?pK_Xb3tO37ruCbnVA_|TjdChx$_U;
zR!@;LkW5j1qz`*qGyS((U^hTAKX%R}em5E#-`R`{S&X&#$*Jl!=j&Bt!g1h*?XWDp
zRodrb<Y|`-GF@V|=@A2<4-j7N%jHihn}N7tli+!)!mikC)3D|+iEeirfYLsg(zh<|
z|1pQY9Ln=PF87^maAzNd9b}4p=v}-JxbX%@UJYOG8rY2^t3$2C#0Nj>Y^5k_Zaa+S
zp(?YjaLGThfkPePy~vkk(iK;(djCd6n!0*)6e@9kF{P_EaPU0`Eh~&~G-RhevdY1W
zzMW>n#!=I>0P#I*g7Hq^s#yfHlD2u?zt3S&KL4D;cJ3ZIQj#CtUh&Nf<Gd_X(2El&
zYnAFMs`OfLsvI%(+IsIjvUU|qQhlVG9^c&R{kI@YfzL8GAUh9HC$(b?lEI3_T2XF`
z-+ZFP?_@McQ<&ym=y3|Q<#nk2P=LHtvCCVyI2ir5FGj8J-mbNdM`xpb3j!%Uq9<nX
zl0vsQxqdUF(3qIqPnKhE@@Jg%sx6jxSVk^o87JHl8JziL-gvd(VGL=Yrw}fjkgIYx
zuA*x&GLD}(n1MzaaOL>`*F~MUMj^!RN2&uSBviWxFE}k}j~%mF6y0_Y@(T&NRIrDd
zK$Z-U?aR{nY(Llr^kjf|2J%n4ytV-@13}FcD!$B5VWIdFP`fShm2Ye1Sj5&<G0*TI
zk3nD6YVks11#~?~I#as&p@UOhp~`!+Y?k{CAc#RA4b6x#@Dlnhe7u(Y+N#RWIdNvj
zG9aLuT|j+(#qMdxRh{dnFKZrn>K5<Mz8TL*rwBnPVNkjUUVk6>Z@*1OIsY#R1OK<m
z!GB-ye~=|<Z|+iS8iK;it6eozp5z&zqKA!AsvrNubS9dzhLsccdn}MIF+PIgfLrP>
z&J1?Muiu2p+%N8b5kh2peDyy>Ay)`e2v5u%oPFhfiE`G_t2firZ+{RIIxY5)C7`e@
zet)RO!4>A<*-&hs%WLb)KsuByZNB7CvP9f4KYC<U;jS&N86*L&fVH*FV)t43CN-=P
z{r-1Ovlf(bM$HEo(jH^~FEI5R!G-a4#dSB-_upC<d12z*3o5d#dgX=JqY(1*5s~X^
zc0pk6qy#j9A+&atNiqOh2S41b*Szzj3H-|eQ2}L^hNj=<`7wVaB#5S|9&IgUq4@j0
zRP3UGnVA`3WDx=0K&<m~L^T(^UN?s!Y6_8tfYOIcO`%D##uBq!ut35MkeSI7qy;M@
z$q5L#AW5tsNd97hw3X#vTni+Ecprh5^;?}(W^IXR=p+26;N&At{{T~7GljDj^$rj6
z`l^WYC0tiUP9G8HwEa+yHL|FdsU~{-19s#J_M%4*3*smob}8iViIwLg`W#zsQJR^N
zQqy{{uMea>Kotuy<^f>#Ltv1-(EHHYNq0r7?})GZI{s3iS`;^E6K!1L(4O>2l^H;x
zBk;xhc5UjEEJSUcq%Xo+rQn#&$b0dY@X?=I^GWsP&ZNP`n(0N8f~X~Il6RHTaN(UY
z;-1;dCR#o&*ml!H0KD`>n4C?U7P}9C2xe%qV{6pvscmpOGUgRuX7c;jIsH=p>zR@H
zGc9I$^TdH1Y<4_cBl<w@cT9u)x~kVZrh42?*BH%s>{vQ!q|UiFH@3!fUag)|%}ah^
z4pWa_FT;GqB(Oea`Csy&Uz3$TopmheG66{1c;od5GRf9Sf3_7-{$X=HQ&tLrxbp9`
zIP96d@bR~de3>`Z=DtNVzs`}p8y8bnBc8+jvdk^Xg5bDk>+M5Mef#cWkv{TD*A2U4
z#zQH$ziRuDomcjWu8;1-P0gotsg%FpebMx%2Z}1iy84u<d9BOSt}RnePHvIRk}e7m
zxMN9#m-SXJDZ6x+&)=Xce{_m7zkCKZ_vW&PLn#zoXl-AR>QI2|2;0Sf@qYjhC8;}w
z@4FMO<J>p@Ruw!2<i6eYTSFo0J79%LQ}U`+vd#-TsIi_Y7<fMbueeZCeCzu}D;ufu
z=-_TD7tGM<E>U2~=oNPVeJPfhOJqfJsg{cuBJ?kCb!{EW$eB;sYC(M>QL0HKRgXAy
z@J7nPd8>P4pb5COYX$s#u91Ib_J6U|*zurk@3`vjLTLi0osi$<nJfLFZpXNjmBrK%
zZwzx^b?vFzc1m>ig}-}iQke~EhBh}_Wx8}6^?3=^6%^d^W!-5gvDjZS#-xc|q#rIv
zB8A^cn>9UMWBIb1ZRfo|ZA)Q1yK8?IQja$?AlB8`4aT0phXX2wBvOvp4N7ux=+*U`
zyqs+5q9Ww=@p!Q?km%e9CUK`Hj5*TmJJ9$&x2bbbN$;1NNW7l>TeFzl`|RPiwd|O=
z_Hs8;@*&?Z;c-+$Z;jYNGl$9kTET81gHoAy2Y}B54C$xv46WO!Ewqlr1*s-0!P%!k
zmnxbK9_BQ9P!L}(pXM5H_3Bln7%eU9<buWTpmvf%Uxa2qf$H;9u;g&5zNY)dHw7tK
zF9|0<P+Y(W6FSXk?G(P9hG{`_udc2ZT9!O$na&tCI&=J2VY&C{?IxB`<|7Xt|I8%M
z#7!@D%i~0T`tgl!Daq702ZjMr;KN*Ov$M-LgRd4iPz|=h<L%_p)$7{4DBgYh<R$Ha
z!kx3^iNQ!xJQhdugShY)+{8zb`GTCo-i4+&wjga>R!dFE0bdd~b1#sZwkVp`Nr(h_
z<UNU4+e=MAu$fq66r{G{rHW)_w{i=w9?si7d6Vxvc<1Qw=kfI96E?<n;eOUY19yMc
zx_v$S<HzMy5?d9~)KrLYQ~x78yrsrDr?j+m2H9U<_7o)42s$-Y!AOzQj5<llx<bM*
zLr{b2lV7etPaWc6X=$kd0QwE1oSqsjsPtu>76x7+YIB=6r8r|&py!qFSqEEIQL3Mm
ztrxeOej3?t?~MO_PPL}|8d0^v`1we4q&S1toJGqJk{@P~{?oGVtWyDr{MI@$CJ5(>
z_;w$=G)cO(STpm~djvWDMlCP?PtMZa_sa&V&kT-8z+5@A{D8pH<T7XT329g{@mn$I
zW1f5#qlJ-;(NZ}(3l}rVf0!oYsQ1kRSt&KWlckeTCk6wgu@V6aY^Hrx_Ss<SJPWt7
zx@Qmg8IF8q9qqQ%6T%sy9R-N0=m&WP%D3B9pO#{pM-mH_3VMuQZY`h-;~R@W<>Ql8
zT!u@N1=$g<A<Ry<<?_)1o9$iD<FmLidQ5K!M}B<u-r7w#)OxWuph!qr1MRj+(Npqa
zUc-AUd*kso?Fsdz+XgUUiUPp>Bz46BcC0pOsrNy%FqE8Z3d-!K${*}y)JtAmbMZp9
zypHhE;$G1gp|%lw2v6k@2=*lC(+h|e&PV>-hJ;6^u=t9Ji2==wU(%@s$Rd`d8?fwd
z1RbT&<8~JxIf_!UZ9}y;ex)Pve=iysSzD)qnh1D=)C`<~YUu`t_4>};X5V{26dBIx
zyu{E@@Cj-1=(d;z1}R@YKiHBb%F3BlP*!n1tGUwq1N5%(^un#+PVp8aJZE6AU2>3G
zVEB7Bx_Hlmpw%C4iydaxm+cXBwgC3`5mFwPk8SW#N&+R4qb(By-^zTK2g-~(5JeUQ
zqf)1Pt?&>1Ww>nB6(&bIn}CLc#U&l%lyeiB`lF|`W^$`V9!c(Q*~0A&^q)u^S)hDE
zX{GOAbCpuBuFV1J)s@BoaOxxl2iMlCQN#-2lP~3A9$=e=dT~ZZMyKPVH4rVNG$SYe
zX7R2A+ac00Vtmb)^~}FsT|oN1Caz?3MoRWbs?FVY_0TA9-z7`{{*dTDg%x!VcT2R$
z{n;cRc+XlVy$%#J*7#awu)KFv3q7Fz<Do3@4zLO2A*F^Q)-wyk$HvAMJZM`FWH&%`
z*<p-yPdg<jnHeYmR__4w7vQ#YfDL{G73=B(KLbGV7?HE|Zwu_hffD<rtup;orH%8j
z!uc8*<RH+xR-vg=iXA8u+KDeFKRL<MWh*<=n3H_A$D{2qQdF6Kc8u%6dR*DncE>ik
z))F5*-`QR-&J}4l{iYSW%4@BfbDcF^MK8pl>US>UH_635>9g34LO%$v7UPcK|5$eA
z>eWv)E50h=jW56R?q)ClPK%FoEu6Q(Jk9@d>wm0w_qqJyPs;r@NPxK50EI6Ctz?+f
zlX(qSe~^w-j*898T~ph?d}m}p8Ff+P465WMW2De47d`5#XP#aVr#LS6;B&8JSY_JI
zoR1omel;#V_t%Gep4Z(!5#D&(OMQ+0i4w^$w<q?o=$whp+EVHisN`0<wG@aI>m~cu
z+iZE|AySbY)$xpHi7C5SZq-oTyoJ)q&$Oj^n)YouiTF?()d*Ic|KQus%K`p^#LIWH
z??qI4+;F&VF9?O9!H=xG&>Z9FagARp_`4cCJ3Bia)gCi-%Fo<|+*Q9FRbjLOJ54GM
zzQ&6QEG+GT5xj<4lSyp5Fi$9$|G6EcmVWR!d`0H$vw2VymmH$d%*jfzL0Chz;_tgd
zVW%3dTYusKnHmSysb}M&M6s};Xjxg=VVZT*cG*I+;&JJ*l8jC9KUX`ACw&m}75wu{
z&H~r6Hl>MBm|>#ySp1*%Vx;XsLgCNb_Fqw^f6mZf<EV=MTmX%~Kx1=wfv6E(?coK+
z@0tE}W8MG0@jo{HKgATH+NxB)2X&|Gga%T+sURyYRMxQbPCHXp+EdI*%O6K5Yw%y%
z<uIl0)=_13!iXvf-3;ovJ?Esw9eVNmng3T#1D+dVm<Z(cI4&876fO-#nm05qN9L53
zmFr6Z%D?GfQIwb0I_%kfE1N1kT&jaA?MUHQhf-Txup#IDXp>pl!|w~66P0%1OVs>y
z5^XbU^$P{A5(&s-%Z_8w0cr=gML90~X_%8$a<rH)*xU1q66HcQ7<5oRknWJc5RcM<
zg$7UuI}|7Z>ShL-nwkQ_S7xM|>_VLIA$VF)(H1rNxH=HYWtX6l;f~0-T@|!8-L6cN
zO`QN##sG}tP-7UdN&QQypcePT`O<awRu#$zq^4!SWERJ#;k!CII><9^iLoQKejfIY
zjx%S^K5O+)>mD8sV0S;~?vrs_@l1NBqXvUa$iWc@YEznw-OB?mn-|Yeateri%gVy@
z>77L80P&_@>8do7%slcbte4<~{4mXlq(fhe&_7jp{TkRT$q^z7?lq%NJDz(d55kDY
z;m2RRc#$yJ*V}6k!iXgG&xM7QdSG2<2oN`uLp&Z=51+uFsJ3!*Q%kocx_+pqEd&`K
zF;8W0@#O(a1kQ^CjXn-+(Dyf|B-7biFR+_$G1GJ4aOO8<90f8a*c^FsnH2)8bpZK0
zq@#MJiHG%!dDd=op?hUALqOIqC579zXP+^A`~LmJnWItH7<8^NB*=k4rTFt$%wc2^
zGQ)$~z@3`$)|*IVw1t2T{c(+|no5OZ&p*31CN!`6&MS?5AWd=J55Gx01QM!iyjMW|
z*v<RlyUm=PTnlnqe_CXi@Y3Yny@T<fDUkaSGBq(t<FMP~{3!F0-%J|R3EFx|<{j5~
zV;$gUi{Nu89dNuK4x#r^2UTACWRT_PRFIcXW41!KPHobIEv{)m?lv|1c=r<tzXjUy
z8Pu1$>8zdWE41F#vEfpTs`<=1_ugJfxyj$`!W~OnT;~u0{ON%Oxd1VuRB&%-&B;qR
zUUzZbI(T^r-WQ}?u%8sXk~;EUZOhnV1Sa_XvR4zyX+Lr0?#+43!RVeY<xLsHT-%zY
z6?W6eX=AIqpp*32$5My#2akO>?8w%3Ih?*WR?&W|BV9dslr!prQ~0eil#kFAhI=|-
z_&21Q6nv0NzGJ_55Vb4%z*l#NyygjBr-$?+q)ytokO~@FVugLm%F1ecd=fxyhdRJ!
zfg<is5(&HP%f1Xh7QnnYg#xA!3%Mg^T4+V{3?OxxYYgdB4pey*7-$YQ7<ao%NIwIJ
z{!!776y<YgnT9n7zuT9@qI!Z39(2!Xi54?0pxr`G%?X{0Fp{d~ktkP}*|W}Ad3Wxa
zD0(Ihb1p2n^V_fE=ulkL;+wNogV&QFLSUOFTUQh3f!wp@`sW%y#=t_U_R(#mrmf7W
zd-P4a!~8Xdn*dsqX_nhbGtZ8{-y}E!4WrMoDr*J_aCjA~uVd##Z*TAAyFr$gLunAe
zo)38KYR@FM*V%W!zZGSA=T2{VWhK$b(o#7O)Gx4+SunRntT;6KReIJmMgKO7@O%B$
zs-nRDd<)G9qhdMsP1;eFyVsoPE9KY;G&u#vZ55U6G~U{I>N%%1GD_Kgxmu82!=77T
z_+)KnI9PF7Y3ZCF%1g9@U5Th&a$HjsPHT2FeAcx{s;Rl@u?j3p>O1wQ@U=(rvy&~c
z9zaKu%r`5hehV2k1lkv$T`iAd=zTnohHq`vlP#3m&Tzr6)wEA-8DL^*>gcp~hC~&b
zmrhsvtxewn(~#wC3KrnGP%3swo4x0t82eaKa<V!@fX|0Mzu`yCfo>oEo_%@lpIU$!
z%ssos@0O_9EKW=9*0>1$5lSg$Y}ee<n=I1+&R+%=WLQ?o{h>8m<pb5~owA)FGvs<Z
zo`~s9H)b3lOy2??`e?mGERuP-xojs^d#Y31vT$$kbF8FxUcKFG8w1vqB$Hsn9IL&B
z(j{A;L8ogrK;WlIyzTSE%iDX@HemZYV7JFqiNPz490DSB!yM>cl#-GXNrGRwu2St9
zLnxcAjl!GDz$dL3hhsWtijKTd@|sJ#BLD1TU0yp{P-ie?2#h}Kd;P;z=2Z7Xx>_UH
zT<d}iUf#i^$cD_ceEj1UnD7pp0l`h-Ttye^0*?Fz>CV;<hV(PFNvd(WDg&qLh9v3=
zsek(g+~g*;ql0v!5q4+kX1J7v%Rf*ky^F=S6i<)ZMY&!%wcHOGdc$}&g(kY)AvkdS
zr7(&98K~uKdv_zuMnJ>N#AR)xa1#t=>e*+V)BvIGb%MV*(16YGdIdQ-+s+I>M8-0J
zC_wy1tOAQmELe5y!e_)mwRqNinksVB=nBZFx6LY5_^ym=k1gv8$$Yr;=`gMey_cmK
zWpbBuzwCbZ75RN`M#fnIjjD^!+%@Er0~Hfm*+48;1|f+LKOa&aE3Ch7v*khA4G#-n
zaUT1qk+J+xA|Xs%Tzu$$_yMDf#A!z1OZZpAuV25Ggn+H{1FP+%=CCPFwPOK=H8uWA
zlwQ4H=INlX08``u+NhK8Cn(EyV7QjksM^Hp>L7}cH*~txqPqi47A_ATn(=D*a<mvl
zS!!ut+GA04>PWdPOxa!Tt)2m@^gT$!)l0xjk6N*MQb$p9RF;=7)&pUNewXLt`}fnw
z$M$rEJigX=&D*T}-39{A6z2q3{rcqO<>hG*ky8A%{u^@~M%DKZ$9ux?#;d^8JHrR6
z%cZAx`Pjh1RZky8T=P{UA}@@9##6i7KjN7)+qxa_&{AOh6`Pm@jRcP~@sBMh@bs|9
zF+|9c*ou|0jnJNta64NqLX;GodO!Wo72F3UP#^#7YEFYw4bKippwDUs!<AY6*@spz
zJh*~3w>Fr28CP7q$3))XegXzZfMW~$uS=Th1!CeV1C~TK((gSfTGjnz7WCp87rd-q
zS-BQmy9D70@i1C2Ivm`dP}x&k?f49QI_ef)0kwI0_t4%@uh?nE(IV;@n)wh(8p{y6
zv1I5ygl+Plb_i9lqI;}xxd~emB6VBs<DD{E(jTy})ogVt0U^JB6McI2PO{0$%oay5
zsV=p*)zADc)w0K!)LX79nqQ2UkSO@<WnwBSn8uC9B1Ced+uL+34F43*KE^#37-%)*
z-o(>U&O9T-gue<c_cVp*vp4%yDUzuDI|V~!OoEB25;9>P+ceAPmZ_JKW10A}pbnlE
zA4D6b`pFhAdXUpvG-UWpM=9nh;3aKj?1Dcru0z8kXXb3g^_xO25*xfw828PRb!(6E
zdE7-9#9v`Zoo4RK_~yO4YTpJHarjL?Hr(E@OiD8I9xLq1z{q^qP<BWZjSgMa>x&;1
z+*vQ-qE@h#BbEK$+Lc=~9F;t%2`!Drm~e#@I8TS;FK_g6X*T)Q&~At&%C3Ju=>?_D
zd?-J>bH#xbm7a*3tz<=Yd4k8y)e#;UC%Re=gYhy8G&DZcgJ^_2zN|pOyc+tC%<FnQ
zqM=Ub22NG6RHaPntvaG$co<$1Wf#IqrM}?Z5eUurp&mO7+t)#}6$cI^K9Ga6xy!)%
z{dihLJ4DBH$4-vXL-SmUNZCcW5Otb_nEc2<?!U-oIF_oo$&OzU_y=gns_2+2es#RF
zfe%sDC*RW<eLtOpY6DLLJ?jQNnl^*p<0dmN+r6zA@@wGAQ>UkahZP-!P9_P6Mm`d8
zzwwBF9!9;%9Jnr%vNZYzCNox`Q!M#ss^nlT#ys%#KFS2`lPHqT$=blzqt_}5<Kv%G
zHC4qy7iy^#xqtrL91X+!z&_*hQ0dgjjqaHXjh6%cQBv4J8{Nmd!3pf>RXUFl<&X)O
zNz=aHn~8|^LAqToYFYNmv<k>Ps`7NR5?lXMXgJAD#BO88v5}mP^4a*gRD?f)x5mR^
zYUxHhKOLb&oI!#E^C4MuD)U4?dyCt)e^f6plpxIcDiJ^1*e77W3n|0;quDBukRqP9
zoxuWQ<WFU|V`dfs<du7yQrvy=C#~h&@2!&-hK{{43Lqc#XAK*AwM3PoYiL)gkVzil
zIq?r2jenX4qplwHtS=9mxwjeYTiNHc*)4${Cb2Fz1r3g9mE8BbRG7WBQ)3-uGi=K0
zQCn8zdPy{ddrY`??{*1^RY$qF-|gT;WOqWJ50cy$H0V{t7H~ztRdW}saL(!V!{|SA
zP_vbWT-z6TW6pi8u+JMgvT><bH!4tsgyr8W*H<Txs68uQ;v6I2e6>5Gl@`)F)KI&_
zBe@9Y`C<bV<lf}IK9t64pwn8{NIt)AJC}hJsbj^dySSFsBhO1GJ=Hr8!#TzTTuqyt
zdiV8DtmwME&hGp^2dO9T8a=b_<Fj{L`ePk`oqYcmJvX@Tygp?A%1P2FRm!cCYV}&H
z@P04x4XB*&O&!y_s&Ptn8Br4yE5&?g@ZEyc(WDTXck9n?KX>JRUi^nRV1D>kRS_8$
zI>t15_nD^l6quIx7si9m2ZlzFBevWt*Sf1J_IVk2jROLql0}@Pf{};*WmUn<FtZWU
zZ$mgY(nO|GrUBZUd9*=G?XSAe)>@40>P@XTA`fq09KAS$D?CY$m9FZdc2at^Z%U}E
zud-Eb+wZQe*jKyeTV2+0ZJm$Q@xYzcl;>go{&4T2S1@b1^1Gq=eQl|Qk6lc@+31V)
zh0q+=;^X}}ikdGbIY`#{Kxn;U-|ct8t%v+hW58@!phrL15f!kq!3qn$H+iLFY2sH%
zZS9-KEthunCI;!&xTtGy4=>#$4iFU#x%1TZA(d>l!O5eolE&0T@j4qAF=U-Zyj^l`
z7B2x67(R;^MGtZpSGm#!>6c9I(V_8M;isDq1GRs5`I8L<O5wYY(B@e*)4VD^T}zuu
zcX2aFux0JNGioZ_<++njYsdjjz={6qA+x0;Zle1EeC~@3O}~zx$5wm_dJ#-(@oMP+
zJ$cVDqpF=QNVDYrwhy_@>!Tg><ofvj5p+p$DYkv;47xG5===rZ^2)tPgU29jEs2pj
zAr`w%eJm;F0p$Il!NWDusfw=(`)h|CtyIBxg~#2b(z}x?lzm9x>d9wr6H~O|u28XS
z39&~qocvBJax1d>)(x4})8uNg8%x}MQ0{Tl-}Nb(X$Tejsz@JN-Ccisn4dP1K2p3R
zTk<I%{EQF!$lxOW-S{tSkLrX3_>ub5$-!2`B&wyMuwCqqYkXCGRj}o&37tPai@Ol5
z!aAq&HU`??hR(NGtTx;@ijL1*Lmg0)&K~8gL_do(g#^<tTqUxq@I=zXOt3+jilN@<
zJ6Hjc4%LWNs`J$q838ZgS|(riIX-6iibvq9@$gyoVZJ#t8grxCv|y@2;iE4rse+HF
zT`h6;BOl)#&M?OGoA!kc^_`lnncwMq@%5jfGW6Rqcr@Ssys<z%b=}6U9P5hjdo^^0
z5n8!)aPPP)lDjQnw<HAm*It4FF9O;pAJ@4Ygf2N1csVseM<o0~{(haZwS3Hx8Jgbx
z#R~;XqaU<AXc4BW(PaAX-b?&5hpZF*LZltFW!gyIqWh^3tpYaSUOrswF=w@9#&9W^
z7mZky7oG>XE`Yj*x`V#}EmxqkP&<_7U~|`!<a})*?9}zbekVs4p>nGHA|%%PyZ9|A
zoy3QWhhq$`67!`hq_bfiCKMbz)iNP@M|jb@E4FC=6K3DlL{AoO1z+5_Zd})8^=W8I
zV(b=_)euSZQJ{rm<HVTWSg`@;KQKfn1%w5xiox)o&<2HNo>@G}{7<{3?*E$<=&UHn
zUHH>`bT*Jz;8i!h+qr)l<fIs~u#5USKHt5osCN2adY~**!%<&#*ishXj*`UTwcNDe
zy#x4P&4-EwEECUGdHAsZNk7cuS`K0|Q+c)c&xIpQ*>nh730lz*!OR|;KOdQBE3U7*
ze@~a4n$)imFg<9bHg^BUqC1Edp<h>z|GDOrjj#CGG~+pQri&_ub6i@u3wORGQI%ZL
zdD(P0jWH#rxu~s(Mlzoux9wqDzK&{X%kF(>-i~i1vt3zmtbK~AZcLxQd8zKuOt&7M
zKkC~#Hg&slX5~{AYt@4z|2TfvGkG*>E1*JhWx3p~S$S7cn7Wgyl1hQ*`HAqu1sZm0
zP>Xu>;OENP4XBvEB>&Yz2#UsB<%Z#hy6x9(O0FKZM3zySMuDp=it0ePasQt&B5MJ6
zDym|=uz4tLQGADLsWWVM<bMK~0CZ9hq4cx=0kO~=RwuOwuBY5ZmK^~g{0q8#sQE%8
zC}_5b+I-An?8&&ds=M+>w!Z>XeB53E9Q1qaygiGk)Tk~Vu{l=DFwB$>S;e2nrL1u-
zJKq&XH^!fgcEclCZVycK$ACHZj|(J;s8R2IY%acl$A%60pv<orMai?(N+V+pnSCYC
znSVM|nP=lSr>ESvPT`9}A{x{4Pz@oh5#%!C4ls`Mh6{)Bgd3qJLOP)N6%@5)1KF>v
zf<1lhfVX4^U+eYyZ%*|d{aByLwQcn+6*E)QgzDM%$$B(uTy`lmDo3s2+a2ob08_q&
z^8#Aoy8)>tL^CImR)xvxP3KJTfaQ>t#1=c6zK0LpIU~S5c;}C+<}fW74;M+!UX(3-
z02In%6Oq#;&<$<>k^A8pGnfBUnJ}#sY+$qoUn+$IbaMxM&C(K63Zs>ck<nUAnk$E-
zjn&aTp{8Gg4c5P(gn5)#T%{fbwMA>Xd@dMUl(zpGmkR1LY&ms@rl+S%H5i1ceK;7O
zKL<igz=!wm9W=vN!tm-qAPj{R&!@P^BTd4kertr_>x9@)SdZ%AKEU_P!T0V=j7ve}
zUHaYC@cHJY654Cre<oAewe3?MUrgR}P7cY!FNGwBU{T^($w^;(9~O?K((!7pJ`ZGt
z#r&MjR2+>4Ul_nn=N2F5z;M>;$hU!k%fVA$<5{UehU=b(TDm&@uVe1FB@&W{CVGHm
zIL|*x-ACPxz-<t$YgqnGF7%<uh39KT{#bVL%Q^RREvciGY+LFOw=+irOlgY51{RE8
zYn~q)p{Zi**IvCr7H>&dGeHMGH)C9oW1NV5MG>+fcZHUl!3Gf5pDW%+>I?%?c|H^!
z*EsU?=TC-ZL*H82XYS^p&^6+Mp5>ppqx_zF89vsIXBvyZbKwPG?66VVTHJ$DqXC%m
zm@1PmuVO*Eyf94^m4_ieQtN)Wdi&Jl&gsY196${P>Oil62;uYMtQX|$vpnQ{_HB`2
zlK?;6sLDc`$Xu|ga#jX#)T1uRU^Bc21Qd@7yp$pd*r_=F&GBc#U>=vU0m^luWn}FC
zV(-19ntZ!$QLurcU;#m@NKsIFlP+Q*RHaHsX<{hSd$FQa30(wKLMQYdLXjUJH5y8U
z&=et3Lg)bk<UA4m_CEWJamU{0{&(+}Ka@d9-uHQ*vesO4%}Kn>O)>3sfS1QRoEXn<
z=F#9b-k@KCz+i{cB8lkpTi9^o0XkYNO@&6|=j<=RZG>gs=Tmad-<Glg@u|Tc==-6)
zP^bO?mg#o?6TmW3Cb%Zs|322jvsb8D#c4zSlImuVzza2_#y39qT%>&7diTm;cWePz
z`7q@BD-JV}5AYS=g@jZF(T16~1B=aDb2%4%CssUW1M;sJeX5kE^lW<0Cml4FVVXO2
z3d2ZPkI&)Wdchp(7Ua9yPp2~IB%_$v6gpy`tQWNS7HZbv(R1>XC(xd2^0?A5@M^b!
z8Z~b98%ps->w!2X_aO33g1sNdmsM4>G)Tm)rYHQH!5p0{t32?l;k2OPh>C6;HOST7
z)dJ|z(8$P07f@xB`-iQG$2N$nRz(b}xf5h#Mt}cNR2-YFr`s+Nh^WiT&OQv2WE7*a
z-lV{D3_p+zo~j#dZ1~B(KK!aGZC+kp?df|}0E>{h20D^dq@FLGgMA6~25%@2n#Wz(
zXJj(CY?WNE;$v>`#tYas7fNESs#c-u^b@*;O{fag7~A>8Ow-{mrtp*c^CiOOEoUj^
z#gcOJb_JLnDch0=h?BQK;y_UZWRUmy9Kg~<%%9Mfv_BIXUNGt3q2#yF^Nt>6TS`h!
zN1`@VL)a6*-dim2({ZWmaShT3WRKjFyHW1VxG!Ipq8C-MSS&a`#H<=NQvk{bbOl4>
zyQdjD@vFWE#SSBRpXa02v0!A@&ow@HJq}=x#e?I+tA3!I!I&}uDvKAd>FD&TcCd+k
zcBpV020-c*Kv2C21Of?QRDA^{CBCznzh^9F^RXmE{!3!>Gk)Ld+cuI*0h71ee4yf!
zgXh6%?86e;2tDaS6kD7~`mxCeNGULCKeX0$dh2M3##6N%=btb6xgRFdqS9Gy_mRse
zD$EKV#x%b9Hs~!|9R=O^!VjWY!DFxl@KY;IB&*oobpwO`!@a$|Jp4jV68zw@c#8A#
zQe>%ctXJj44gCUjVRM5_mq+|t;RS|8Zn%JBOWFGXBqEJ68y%msD~s66AS`U2P~o~~
zUo3xCcBKn1ejH~#Qq$XFWXw+I>WbSy_-f~Cy6~c(aUmuSjHgq9N+qtTcfr@$`f&tB
z1%(lS&YtKJZNAxt5aZBTCT6o!z~NKTwrjKal_*?aqdtaw*J*c5;+AA;j}}SW%gbvt
zz1M*@CO7$w;Pc1#%8n4dpPi%Lss3b4kV>dP^FY1<=}<ZE^L0y?q${SFjP7YyCSJ~7
z@dM+&jjQRgjO*{Dor{!5wvP)3rfyWvfKG!6a8(^wP!H~98^gJJ`M6y4;5&g?0*FSq
z{_OJ@=}>D<)I!8q$40xQlb7?t!%)F#RVi7fQO%L%-N#eyf!K7Px4yG;9<Y@h21t2M
zt43FdEUnxD6I!iV%A%i>Vk$GaKEHM%^rQ=E(OtKb#RL;_`h2^eBX)VVKUejdzN%ly
za?3-U5c9FjBS5NU>q$FxVVu4y72o;p*g+Lj!FIOY(4hSTYdI^P|MTvFB}Nzv%G8Eu
zl7A8plDEafhu&lHH=KTeP?r$UH9-x6X)KwtHjPvX`ZeI-Z3Sob9+8TUqSNF`4!p0f
zmZf(3s}~j&gfKLmtyRoKH!&{_0sQdgNfm}WckeE%MxGUUYpLY+2+Uv;0RGZ4QE}6k
zd+o&tL^|{Jd+fGKZa@ho)|)Hyzk{T9KariZY*v_zR^Dc62ASO?Gwk|T)d$B}j=ccn
zEjRGrZE!6ko^=+^PENC66ntS<A}8(uHB(MyW2`Qao`JDV4L08gr~20){{I20t|{f_
z{%@daGI->SL1#BDyuH`Q!9q;^U95A4y17vx0VaQfK&J)(+5|s=htM~dH52%G7g797
zSLQD*P8c|Qo?fzum}0sF>U|n3HZ{aIO1}_Xek#vP!DO3B5Hi>>ulJh0JZDcGtG;wa
z(irb^sVDQ0q<+=^OeSy}{V!w!dn@Z0i4gD}mO$N4YH5aTs-@7RB*gt6*1zO{QO#9e
zC=ED|=|X5Zbx)t?8OZA8YM$k%UAh;!6%?Xe8q%DkObs(MG9D@YyvP9>tVY$#pVp!M
z5&s9zKvQw@a4m!1na*be<1`DmPrIrd7(J>qM9TjY*uq=bqr+;t&$Q|ME7HXj{S65r
z?CQ3smK@q2a_+|rkhgbkUG@vU+<CAy<B&q6`I#lY$<KG$|CPifR3036YIb|V5f)1u
z=pE>$H`xksRaF`(eeOTO08B7Jnx{PJaPiDEOZ|yvblB}M`UScMo~!5l=$39zx?H>c
zuTU3$ln>-_DE{xR43O6^n>PF?V$EVt)Wg=B)1HuMRdw7M|6cKZfD(%W1<{Vntz(Oe
zw2vT~@<E(`z$p09%NT!FyFKK<Dw{@FG$^7Eq=9|DhLzOBaRUbpc*nQDnvVV&A%!eG
zf|X~&Uh?*a7b%;M)-Zl_35@mp8||wnI5gvo9(^}@_7G{{PKo@R)xzLM1$s}Pm^id|
zcvJfEIE@SC=&wVKV0YfXJYgyH5VyAl{r5F}wC(w_lX8n2g{tY+bN(92U_V!3;5@MN
z8m`@%{KQ3hM4NVx<toQj=7*Z@`-_}EG3_%L%)|ipgGYIl4uCj6Jl>(1Y;>N%f?=oW
z$3|1L^%MFA?i3SeB=gn6%*H+)_diJ)Oj;DYea1n<jjKM+?(?$=wA=qdEujSiW_6?d
z>0eTb^pXE9$cIUXY3E=3%Ohat{)_8Dgbe`t_RER=F^xC_eRF*C!RDd6od0_IQU4j)
zqU}5K_SSvpzw<^MBl`6*+tStGa3sy2Snog0h=bH{EKGCqlnrmGfqT?(@iTs`k9po4
zE~d@Nz51_Q@6vv#LQ_K<PE#1h`sCiI?7=3wahlO<r#Ca={*E_H`UAMT#*$jqgAWP0
zmWq!Zme<J!oPSeFF#mo(ecuxw3A=5(IQ_pr8TqPwq;maR#^Df#9c9Rtfzy}YXHPHy
zCT!h_tj7CK^9<xLL~tk=$KogVSl}^(c>eD=7Nmjy+SOzB=Zkb)56yM=G;I&xoqkXk
zs?fSBmY51Y+M0zl!SQ~ACJ5Q_2bRFx!0d`{%1(+khexVX#=hy@o)!iZ-vcH#^<Q8L
zCUf%Le<3^53mZQ|CSZNn?XxemHCj>e3c479t?OsQ=px9^zNsuJAN3P$Ti(w#;2s<8
zKlWy*zbybNE;J_b14ru+<`lZPqEQ0-JmchJSmGZ75#~nn;qg!1zDR5RPjz|Jib74d
zWpkPaH+<uWjVf&Acr1<Yf!OFzDf<JWFF&m9fen1gKS}VAE&a$ZrEf|FSx)91+Cyxv
z{%c#oY?M3mEF9Q5n`xTOt66cQHTTJ?!GhlYd$5-{ycu23p!GS@NYg-9`*N+j;1Q?R
zYPW~AJCFX~N)3DLv9{ntRy1>AnKYncnDkIrSRG6VRk1~1y|O>mNT-jR%wHITSX0b?
z)a7Y|X%NEt?UsJQpClgh#aXa(DCZ!>@Xt?O4=^4E;;8i6T4iqg6V>U$rYNLugV-!8
zkP+E+4V1cq6MuGwVh^w~*UUe`JwfoV-w5#hk954tl;iQ)C5B0@=8Ia2T!dd>%Aje5
z134ATYu7vea<<O2Sv`B`Y2+S%1neMzr#g=Tgh-#o9QQDA>Au;}g!cRx$)K#mwPEgE
zZ0=A-pYB_?+SH^pw=CP%{^vplDM6o~Xa{!0+4)X*|J?nZhD&SyU9RwCrPZy-8r75J
zf^Dg&4T+V}Y>H0D867d6N6=jV-CpUErc{&Qxh%s4Dd>&W-}DZrN-!>(Flk|75-vRd
zcF%o`T8VvsY$z=kSAG@I@8j#3i*HlBezo){$=r4rF?`_oWP{9Y(?4xe=07;NP`-JP
z?``bwDW25^Zcv(^pyxWdr4{nI7#|!_YkxV-#8RhY3W&*(t~d-dq(z{t(zjEPK|fl>
zP>iYCnR*0HUGjA(2aVLYa%Rt(Q>Q$OsUTN?I7`WRdM(2LpTE}_B|V8aG=7kiZsCM9
zE%eFYwRw7S5<lV9gXh<u45hi+b`ytCUbTb|xBV7zTHgp#_&2Gh>mKAj-Hg2jlOtoh
zu9=F-JqbcWy0xK+6(m9J0=sz`iq@bILwp&-;Suhj=P|h%ALdYlwz8}c%&&+S2M{&m
zYO9$XvkynE`P5jZ`Yhm5cXH%TN~RKUj9KH`ceVjcrP&SeqT%Ls{uWnX3cb<^&cjOL
zPxk~MilqpwMRy;M;xkCe7*kkv;G!cKudg0cBHD_J-v}J6#{^QoPd<kvF7RJw*!jx^
z*cNkK{o!W3>^z3GQpiY^NKYRRm5iTQdwIG~7nYFpZM<)FqA3XZcAg82a9d$gS${&O
zw#wQhVT7p)ToAQRsoDMb;P^4Hb6AbV$as_enQW9xFMg3-7>2-n?n&vIHNy{DuVT>g
zjLInyDAGql%k63=zY5ch%`QhR@z$2h4YjF#xtU{&_eO`b$^B?a`CIfKZb-%RXWOrq
zm<Y;XnN-3G49>#FoCM1%;;YF#7qm0hA~w_!H7Wz(wqY2_(Xg7g{5>Kx7ikN_bk84b
zIP>`+lBTLz@3x8#1QU}3op$w23?!(L<Mk44WLvRYJrzp6olL1KGp*mI&+uH33N~AL
zQ$@!!^MZ%+^wVlu%2s2%rm_x%-K4!fBk+4$Z{?_m;;^N4n=VfPMQi%>^_z#|t$pv5
z;E(5Lkj3{O2^awq3yDYYs3(#+Os07P)b3{4mNYT71Lh(v8e*3%eV5o9dgVrsUmFZ8
zJj&9^6ZzpnH~bls&75M49j<;pPr;w}zW#JdF9g<(k|@TH`%u)ctz7H<n)gC+gu33=
z9cyWcr`mSiw*5lw-6=!&H^d<9dOnlv4KI4lBTKB#={Bt;uf;Hm1HrU`Xd`7(OwP|m
zSVS->XF3TtyiHa;UE`9qB14wkt+mbn<~USJ=8mL}-nJANz4?|$=G%TvpmIs%Ze6g3
zNn0&U%J^L-W$JW`)Ku7SJ#u*Gr*wbL@DlUG&`pWzVq}cCz2yD5Z-`4t@Yi-lb9JoM
zt_NXA*=ozxCNVBI)T)&ku^~A%G*sAtQPC@$0FJ$U)z%Y!$Rzo7lZb*sK|mhmTlrzs
z{jhF5=4beiW5v0us{%BFJOSd0>86Sc8wTSZSItZI4))Hw<$w*Ogbg`|sxwitbIAis
zbKMnuVz^K|?L*YGkJY-K<6W?Co#Z3L%9YKAo0M-A*lYW@@{0GY9LpMO0&LdMmq5K7
zChc?Vg~|9^+`8w&bkZ1aB~!fc@Opz@8DXU9i^r<<Y>*G%{W)equ2R*0JeN+}cwlsp
z3Jh*V9m<75AKLeiz8(;^LIt`nU7KzUl$sjrD69Kk!)!IG?SM~z=|gKf(8M3@drp#x
z<<-^`^CaW2TrFj~d^x@oei!>m!s9*XM`$XeA2agl|A8c3UrBH?zCq(JuJ<oWPl7&j
zc@W7M0gm515E8=;;N+?44wvnYPt>wyb8GX9t)RVRR22ZF+-UcXbN)srw-UjokvAGx
zqT&{x?*GWuu>GC?wos4KZo*wCkD$(jZTAjIlq0Gm0Zh?sn?uwGio59l6?bgphb4Pi
zQ&U+&Z777DXtiDlHKDnzsmzpb5iLFG0{NgLM!BKt<61wP6Whi%p{+X254w*l0IYSQ
z`Slnh54{Dz{<fIvEEY=vQ{y4Y6Ie^sY5^joT>EAn&|-TB6h*zyKlTKPS`=U!@_4%;
z0iUG{;1v@9tf_p^cI-FWnU6d*G>P~YDE4VU$l0p#ZMv$L!mwpLOASFsugtzz2JBRJ
zz6B%qsawn(`Z<W)Ryr>dzkdC?jAEM_=6z0FA1tn`+bTNw>2>qii|hBlQ(4mm`T41*
zY<Dg!#WoK%^Lm-*zw32CM@Tr}`_jqLzj-0PfY)XgwX6zs%0n!ajx_&fxugJ*&YM}@
z2oMQiZm>w6^Vx28a^7yy`?k4GZ2YmCuCml<Qq;($iCX`@22!?!r0+)>E*ktutZ{k>
z@;E2K_&V1T)W-IGK;0^#b+fdz%qc5dz7Pgjo?C^+h!L7EpxNi#)r-m9T(q2V-P1EO
zt6S@1y1V9+^^0nvkN?stZTPMMuBuMd@~4xZ%&B>!%CTfBrmy1{Z&ksA%pf1FE;7B1
zLy^=4Tfv^%y>@0?tt}(4VdXjRkU5VB1zf$*IoD>S<e+H+0D5%5J3R-yJyWzQB`EVS
z%C%v+{UDW6s_OFsId)_6a<f|)XK5pTYwX3z2T^e`F)=h^gX@;ZEQY>(c|7$>^da4n
z+r=yOOh10=qt)48-=o*N8)})K%L~EO8b<^y(hQIJ+U82>av9>j518|4Qa|1)^^E{K
zm@JNfy0vqBvxy3z6(A738~r=`&}m==fKHPjt~Cld9p+eCN=b3CXn$3NT)Q8CsSBVC
zp{G~<0g*}dzycGea{1*EiP1Wo72T;6E0C%1RhA8$*{?vb7acvfR86IaDaite+~n-%
zIo{{u$jz0;@o}_61^S<#akc+F5+@ZCjs6)BV21P|2-{e_4Q6bAfmW5M;^JW{TB&yP
z!Q6#ni**PjJKOo8g>n~k?qIs1WUkJ{dRM45a$}`(8@bk&D=6n}mZ~xBa!U|-`)#O$
z(!kfZTVH1!F>|`YsZ+VVMaaj55lXUgsOm($J0{(wmr4TdX(CkP`ZKMOKH43}c}HbH
zhmgFjLLOW~?)!o9n~`U^j4m<v0eWpQl|A)-13-Hcw;n{H_ITO=Ur^D^%#6mtN3{{q
zq8tGL&2(54Yz-3!xS4q0rGrAo0f3me3zR+r_&hZ14&ZY-(0`X|zGCwqsAiwc%aei~
zY`Khh3#X3^ymnNkW<qe8NB*T|xIS8K<oiEtOX%aXEC)WE&eJYYbsD|YHqoD(V51GO
zb-sSMfy!P3*AQ~TViZgkv`ydaF&}k$)LuB1*ETOTidjVg^^{S%h6?;LKn6L*n-B;W
zy)XbmgvLl%0s7oTxl?~m2Y^`SMsPS{KEQB{tgR^#A#@V>i5DlidFK52jKZ31p9bej
z?>S%gQsKHz<yWHE6qydiP$`#&vId*#^xxwux1q1g*!_&Cl*KQnY_;gWCp)dzB-YX`
zW&B14UtGuc@;=A)&$($`*%2wVrv4u0s44@mSJZS00B>HGaq8(iY3GR-1H|rnn2<qE
zkZUQRlX8m{Pb$B!A=ySDS*#g_#YKlGyYfq4!9Jk`=;;j+Y*TH#&pnfY#D{qEkG9Ar
zAi(UU=IOag_k^}vV@(?HDI>!JblGFJ)>()G+C{{K_DsiPTqMvbNPOnB?%RX8tP%xa
z;3r1rnUqDx@$^Ey-_%KWsUr=-o+AIS0_=F|m%Rxm$8kRy#v-@jl|srrzm=Q&e>x{I
zIe2wx&@pp&v%X)KW95P<g#GgkhAEZ9+HOux!?14Dj@LLqp|r8{7NXcAUjXupe=7sc
znE&;wRxz#j04GyWzGFD=^VSF%zY>m~LlNtt#LxIulLOl63f_9>Ij-NE7<8c4X}})8
zaq`pG<9vVnL8K+@j<`yS8f|<lM>Wtjug&)J(8wNKjbyro)BSK~Q~DZkPGORM2(YfW
z=2Rf9X2`bWWG5l$J@yB`$TvCj=&+kgX69GiGL^e(Xk=8yigRWypu$%`b1F!-eG>up
zEQ%>8&wT<^NmXNj8-qEu&LGjA6&9W(W*wp)YRfuL5sj9}r~wVX9rZEj3}tdYI9`Ch
zY|6o%qc+Pw+7iL;7w#yT+I=gacR#&@wU@lEf9k7<BsK;%6*^t~pHU<KA5gr`SEAbc
zAAzZLXjY`B@;^QCeZju;-?b+L-k<SfuB`==p8}}jD&Hoy01Y{u1`jUHU<hGOin!<i
z&H}LxHq|rNYm3Xu%Fg+DMlDYQ8g|oFcI-YX#P1Z8az}uDTi@Dx;^>+=vAVdpn8w0%
z^d<bmhwmA*+p$!(^YK!CK(nJ>2VBh)Xrb(9lK*bb`FEevpXvXfTek8e^!2X&{(j=E
zg<tTk?e)r0KZbOU%-jdDV<`ax=Bbi+os*w7qW81Zq%_woLL=R47Z<~xk$5L+w*I~3
zqFsQg`p__B^@Lo%$Eu5$v)@~B`(yD;@^74oS78f_$e7-nnwYDO`<xNXA!bDd|HZV4
zT+b;_F)nDR$3a3<SAPIDc)_bZANQi67d!EJX6G$o`(fy>yH<X`?h20iF(`(v5o?%U
z*#4~3qND*tz)EFcNOyHR&B-cMs$_fMHZ_s?W%-_8=j0!jfzCA%xzQW=c6^FY&na!i
zJubT(?VK+oUDZ|Casm^!e`AtQTfv5sJQD6?kgu?HLy*hk{BWw#$ph(Vl@11zp?;8d
zRVwdX0`b;_7C|xN;m4`hf&dv<qBs)!rly4F_b5#zo(__xZ$&F#h$h^WjdN4eIQ8L*
z2(t{~9dp8@N5v)!@xYJZ?&$H)tcQ*?%DuwreZSSVGH9M;?i!UOd(r92gA-aeKM19r
zx2J;|Je*CEmg?+zH&40^gXQ!Ky6DAc{9F%Gn)%u(kKKAV-}BSUVZ3fef!#mjVs7OP
zS)NPex%m-4^s`5%JFnV%kPlDBaMHXyJF_p=Ys2%#5_OAc85p_3AtzMxs7kh{$pq?F
ztHTlMQ{vG}eA(Evk!+p#y3J5FFzFraK_{DhTO0dweuZ7cnMZ*Ooh~D+JgP<l7mYr1
zDQkLgcCyt?bv*isR~3PDHIepY3C}hdA(&TseF+A}!sqzTcp7=F0l@}wt7;LhZ3)`u
z$N$jp3&L(39@12MzrlhoT>svVh*TU8GM{(LEOEzL2|3zr(GgbtQNFt_yP~R#FH5?G
zME7jePHM!&%_?Jy`E8>Vto%_GdWVPH`l~OALLzk7ntE3@6FMbty1STe*LJBY=Xy?9
zu5QkZTNbXM`N?CzG9l&!GOPwPaVgP19d1tn^36sVHb{wP0qDrB1Ty73FRHb&_4`0E
zv@dy$1?utwJ_zIXvLum#2KDH@hiRa%L>DO6xgvI-!)y4*7RY-g3{~q&#6ytKB(DS_
z*==#w{kImvN2hMgMd|Hs*1TWp>HS<@ML{|oME^Uf)98Y=p8jeV&O=C4=0`picno%Y
zAn7)@(d@b0&&({HK6Zl}oAJjm=OD1&nd&38iVMWnSYZ{Xr$6YpYI{8ln6cm7EI#xy
zi44^bkg7#}ZzVVl;QNez)Y|$Wi8NtM$B|*6V-_Sa*Gt+A1axHDE%5&17lS84Yw=xk
zbB}8B^Ye`{3*3=R$zGPALzET0nzP+V(M7v}o+v3n`llwKgC0;fGOVqvLTcfTV5Dw=
zYVY1hM;thT+tSj~c!042$V+eUTl2Mkd*vx?<hA+1JXBO+Tcb@-&#;5T&5dKJzIdaF
zust@e*V)-Wu<<Q^WF@?#YMLoF^p4NkB^EGsQXN5Lhqtes3iIv8bPO(oxk@bPW{6ok
zAzO2aGG6bJG+bR-PDB`d<jHzQOB2lD<GI9cn<3ub1A<qwiJ@UFXkB&{O~zScqAhiH
zK&$c%v<qf-&3^8<uQlV-N%091mu-&*1oWm0&7Okb8iebL15^2ZM=G6EA38htY&BBK
z;Y8pF2voRnN{gT$uI?60Q0J}J{P<M|s`SP+FR$29f{==P=wV*8DKsKNdSjxg03)TF
zB=u2S^44ox)sMS->zVdAoFeX@(N7%ag+tpDmv?`95PS!x(>)h9VAe?8dE!pp4?3Np
zS~tt=-KJfUXi6+pW-c<*px!-I7CZ1VK#4}&;so*(HAWsBBY|GrdSY>+R|Vcb1MbwG
z@=O4A!CSYN8ZQ>|Pp@vJg2J~|zftZ@OkxH;oqv`eJU(zEUa^+xyiTUViE~@QsTcVz
zDWjg~=(x2;e*X;Lys8Zc+n(2eNr7IBw*9T2dL!JunkUlU$Ob;2(bsahllh|bM~|di
zhJD*M)?h6rTgO9~JO5#b8b5KsWqa_zw6Pp?!6>;qf!S^1mi~6WBR^z16VmmM!W12K
zUH`l<EWc}4B_nFERp+_=?!W<>QqNY`L&QEdTMWz&G4=)J3`(ux`JM@jwqxI2nT+*G
zh56XnZDW{6-Mcu2R$JSi1GYV5U;w(+ul|;(Zhn0F&~DSZK}Y1}?DKazJ9NLfrV~Ct
zYDF*J4IwBHNL5<CY>S%uU&^!Rt)4{IdWV0jvuGk8rn%(&EqYP}4$LFq^YzxHLm3WH
zTRMQ)Gs0b{dIbok+&<>Qaj0cg7the2k1`gCUqcuQPkY5uRaUR$BY+_qibw{f=4}{U
zonMD(>&<Tg7WFZ1Fh&qWlX*dTzh07%NZiwF1Tn<G4Bc4`n5Lepe_C}*lB~<-vY4G_
zgv?BY);6a<hpJtKB)aka(9IL<667nXu)bisiEU)Hv}nAL?t=9BBQ$I1(i48lXz~j<
z0~}G&RuaF4etqLdQ$V#;yY_57`Oyc3;`!pLAx%u2a<XH^FcOIEM1v?5xOMigHmLJk
zx*$*riJFIj#>JGt7|WrScc44G`U|5r1_&&O={r7Fdauu6(s6M3$+*bL0twxP_ds1@
z{G>5zB3q7&lDjcf+C}@!!J#v6)zzwg?N{ksaOmpWqiN5A?oEfO-Q_npI|FTxaK^PT
z)Hwe_@|MP?nHhS_=x8Os+%R3u6(I)0<<ZVQfm-HMlHj@HT(|PXLUeVvUJ*uSux@Xn
zzK#s|*5Gm$dJK$Y=c5p+teKCCs+CsqFnX$4YyD_vY~zm9cxnCT5xMpl)Xd9lEyW`q
znK4sE=@Pc>dUPI{G)Kn4=nVQVC{spjGbM69f`}dqll2voZcn%ebXG;KrUe77P<zR9
z`JU|I2%u{}1Tu*%f!%*r8+agQ_EB}8NV|aoLT4k##GKp#|K~JBFjd>?VN{(lh97bQ
z*gA9pdXzM=?}>bjXIa%o&)Be!UM*~!lFef?A&qfol58JkHbxz^m^st>rL^gc;>7b!
z+M=GTBUcVs-7t@n;QJKR%Qk-;Uo*p|$@q#T-9AeGa!~-ePU6(kqB40GXFsw+zCF0y
z1(m#cQ*)<;snEIIOFrv1!H*BB==LIsWE1g&J#gJ*aN{5A1pk?mu986O9QeJP;anff
z&-JsUDM|dy8m?)Jt`qGc8SJjX_zzgwyyB=PUI?CO(!kuzH|#Pkd(h?w$*dUKyL2|v
zA54O9&<$IuHNw8YZmW50(8<k>7;?OZ<0EK4B^AIc0>$(M<1^r?TwGjd_^A$#!cc;D
z@q9+9`&7FT5G2lbmPM9>MlO9FofGO5>a4e6d!?6A+bYC*D+7zSxAxIm2wP_NZUHJq
ziVymR*(Ds2v9*f!5fO$yGfu*atCeH3+%)fbUb-~n5YUiOUxBejf2&luxdk>|WR@2q
z*<Liq-V%840|8MrRliugfZhWz#BDptR62f3Dj#TF%Aw~K5Kpv?+S&#-NfR(QIBdoS
zK!dZTLVDvpOswyE3ZT|)-2^XW{a8j<SEFFQ*LxDfb0?$XDIu&k`e@<!6c-{hajms<
zj`mr08EP6crP;MxI)~`RhltIll+Jz7I+-^WU6W|K+@N3;tX`d^UIsa17@+?mB4$^k
zrLbH}-*xa&mC9(|f;sWCkeEqlhu)ppwRkvJCA!2icWuRSaPNoa;WYD~F&u?I@_Fud
z3SI2tKe8k8`Mpy`iy78CmZ5OG6_KW^j}5$YzH1LN9)Rm9|LXhPh&br%&<MA?w;tBA
zVs^XZl!2C3&Dxlxp+y@b+mV;S%{buOau<r=?2uQpbSnlV%<kfOO^hkbRj9Ogpjh6o
zCbKdx4EW}rfrxE4hBomhCM0OT`3a7~MOP_+92DXG#n^0fpmGPsO)DHwO@+AU-v=hf
z9T_Y*SzaYHICsqEW;UAlXEA%sJtfP&Fk)cSCeA3xJ`ZwTvc#dzgY&9tQ>)rEDR`C3
zC190{MI_WXOKdBbFr(lcx@_-KU*a&2-XdWOtM*P+QP%CF8`pjiu77`@ZA7Hl;M@Xc
zj7#p$&&fOr{DEdC6Ri`4be{*=k#nvc`=lh6Bi29+9@o5o>0u|{{CY_5=jYT<mjN7}
zx*rCaKg{cCuHSA(A}R!g=%4!5vnC`aqJYn?8GkQuv*4TnC}=hQh}y}Zem1@i_ifI>
z1Z_dRB(D!sSLq<ZR?$6XQ2$sa8k+6igrvNk(P3eQxyN;U-2%1=)-_gXizRnEpl$_I
z2wy``7&OP>EUeN(s;&v%g-aw`6@B~Xpq*m*qxDemT=4^YpC$~0EJ~gXwdXBF85k-N
zvOGFs;-c=paWdI1yI3_Ht9J>tW15%|fT7`$2a7{Ih-Ghl?BulnIB2%Ad<(RP&?ypp
zf)KDUA%gMoU{}wn+PDSmkaDX7f&1lKU}F^k0lLDWDS&Lt3@HF8CRl{q#S$~j5I0e?
z%3t~E1SEi)KeJUdn+2`|p3~kqDyS<#h^Tq&>G`~0R<Zy?s)gHfb<AS(Y-ngoiCx83
zS)^jr&8_IP1oJ90j+u$VD!I{|XjP<1-HfmLn91_8fsu#)i_x!H3b`iYw-z_c*tfRy
zv|uYl7qUR+0*4!9tDy^BsPBw9)XA25Bd$v|Jpsa;Pl(lXu3>V#k=iAUhAD<D3<X~m
zXcJbR_k!quQTQ^UM0NalS#w|JsT}=N$qx5L$@aX428#?l2r40{;s>)pQ`L3V>2jRL
zXsT{*e0z$i+R26~{|w1g#Kh@GN1xgxZL`It0V^HY0H7V#_gcKO?3b_*n|)~~S!V;{
zvR*1SaZBG^HVx&g7YnSqj!Qy806>nw4{kr68fxQmYecNqps}^kk_4&poo5?c4dckY
z>X2j}-&X82Gb^z&S|~yb_TWsrTZIzY7(ekYl2O$QcY^bFTL(Aw<k8q_7?8IdWE_qu
z!sz+*$tGUi;M-kP1a}ptELU`3{EVKG`|!$ix1MDCPCQ%_60V_X4y8Pb^4GwK1y5LG
z1Ciiy1_>u_{{#s_qYYv=0$2uYhr{VWKXN0Ix{)d3+(4)J-JuaESkKjEW$wtMeZdnH
zAIVe;Xp||ytfarP8Mq;o%c(SIwvH3PqkSSNTkqjove=!k;R?ALzwT|ll^tJwFWH@G
z<V3t2NvBpz4%xihc2Vcf&ijKkrWxi~`Hxs3aYt9@l|!>mLZ2(Ug>ZZ91;c~T%I|%d
zZUiWGtM;62i_m*}^3eoU^k-qT^q8MPzTx@V{9+u|#}-FMx+3AAH$1ztzdLpq%sk)$
zgDR||rMV^@bv4%`Ew23LZJzvZKVQ%JO%YrUT44wGYAkt1LTauATX2;$7Vj3<2O$}X
zhP4Cnzbq<tam?|*js>r7eR_esCFtAj_APG|31v~W(`*R<pH8z8bDxE(#d<txF%GHR
zc5$&}VeT>h`&gG*m1xL~R7Xkyc)y0pOBM$2ejR^|7*pACA^vKpcs6_PNBl*fBVUKQ
za-=j>tFDVMuy!BuPs~^;`@%#O2)cIvw`S|X=Bqes+|b$Wr+RFjOGlo_?ml|rQJ5yP
zQP6F#c?|uPg9Dj4B5;^Mzzu$uDTy=m+kWZ7#%Eym5p%Aex}{f%1V8<4xxsb~7m5Mz
z+dO&f>E1*@8JDTc=CE=X*!*`JeP$U!87jSBNTaK9xvyI0>9th6l_41EU@IFJj;)5L
zUO7anvnI{;R%%`w7Tn3*)578G)c=x)avhxQw#BtKaxOLYZ!9x$U75Q2DBqNyR4yi5
zO}RR3p^NZl>UJ10Qt;jO!BsXb$;sPiM{r%uuLvPAp9r-oUYL^+RtcGNU8nkqHZSs0
z^LMrjBkajSO(D<hqK0xBkz?ECQhG+iMN-v!&Oh7}Gp)0GDHV6-L;bL_E>rP>d7HJi
z)rE1?eQ}R0cbG&>V20jUITPr|Oub~E!@nhG@7TKF5nooUB2*QO7E`|NhcN9pk6THF
zKjCK#eYQLGpCqL&EdS*K_&?LqCD*=_;7bgdGo3cxRfjRB0n7A`U9rS>enFX8FR4@S
zIWP(X(S%sU-)I8=qQ2ymXW!5(c}L=k&+@Ze>dgOTVh$3Cov-=AdzTC(sMkb3AX@%A
zRRLe0y7}8?hWhP)e@PvM|No2w3&#Q@%{O_DLuO=z8><CAW=zkvDP*gU;n0(D3MHgq
zXFFP0)wfzxS1BZ%>=e3qGn+CBw^(Jbn`$putBk$uJ}M!}7|QS)kfHg;3ZNgkRBi6>
zS9O8FqR?#C9A{g@CpJ&(3vsngpdyg<#ph3Ky#;H0fIz&dG{ZbAo(~BH?gktTE>b{E
zM`&mShp5VYvz7!;1KYayhiZ_9pPxm;Vpf7Fy~-+gj*F<>@v9qaS>dj}61?+_{fUT$
zVA|kI<l@~$o?i3hY2%WwGjyzv4BfB4&WatK7X9tmL}NqbFs5}gc{O53@ZrTChZ3TI
zTzVQnWIUZg_VP00GLY0616ODUsR+EHVuA4n1%7KKblMzwPf@uh6*Q8hoTs+}xYU=C
zk$@0?|E=$^3=m?l11oKEWQGgy9AI^GbqxVJvRamwT;D~H39C9*YpPh4Y2kii8%x&8
zbEUU2kyU%QRdM%`NfSetNwE$rT>dElLA$+}7gxRoLgqjN!Ml~Ymiy9d%~p~{jlM2X
zosez44)+{ZR@PWRzJDAU8ELC_Qaf?2p=#qA)|=-SiW<Lbr+;7URy)Z#LvFN<Iwv&C
z2;mb@zR<Zg+U`Bp4cbL>bjWIeSKLS1O%@17n+4t$P8^wWx2|yLm4Qh+Vc_PZc6UAt
zaKNpNSJhl<a*y{YG={eB1XgXl#8oakl7z84i{rR5iQt;q7O?;Ct%ORid|aJQi2ZgS
zY2z6Q67loC3nA?5ZRk#bRZ89xJZtcy^>*H`FV9Go`27X-P3z?#{Wu6p@B+I~5*n0U
z#(XIOi*@*n)b8maQ>dz`sc9<k^LUu7kn8XexJ(+sR<?F}fOu2MY{B4#Sxxk+F3byt
z_wNsy2(9l}?0ZvrB~f#IhjI4|tT+_BPrF8dHB1Su2;`D0Bxe2rw0%cXUmTy|{|NjX
zclF;E(|Hu=mHJe~B|<N?2xg#?^Uv4Y3*wtPsvGbKM%5cP!?}xWv~Y|h?6MjD{qm{I
zcbyi<{d+tm1tOeu|6d=%$4N>hrkH<%RCwYCL?PYDVyZ>Z%0J)?#s$U=`w0m!Q@kHl
zHe@#KA<yTMj`e*4M*_W^<nSPkZ{1*KU(ad^dJ>^BApfb#b{a|rnY*rp8fQCZRJ%-Z
z^?pDycoeE`uFv}sbi5lja!z*y-OCca>V|wH2ac?fB<1X~i5={?eRT;=X6~xb7d!im
zU^Vj)N{X|2+K+H<I5^A<7MdY}qrUrBzQA>;!SYYW_!?#vxcNQ2X6@ekeUMlx=|4oC
zr_b<JxUHNq0v(iuOlW57>yj>6K?$9(5g?;HL~bkrD@P2Xa09a@9y=Wyx?@|^&=7=e
zMDskoJh6wnM)bH7eKlAAW;jp%I{sr;tfBMD4ey5KjcVGG`9~C7@kCZ|V!C^TW=?34
zXTf1;VxU_(K<)~5+mb<wKM&H5B_?+BLLHJ)-dF3LciKIK3Lnz1@ihZ<9)kST88%`a
zaFZa0`WQ#?%81D2M%~_xJ<VqeN|W47h2wJLdueGLOBJW+tv`8>iKC-K1MzM-OZGfZ
z9v)q7*ql){ZXc<_hcX{IlE(L9`>p%5qL@6&;h%#SW`AKYn<RB5xos#2oP*5S*nWU!
zT#!-oXy~6jWIb0m$|jXPzgYO9+SAh41$z@0vrwm$);rD;+2-mD=I?b(dIp~B!t5g`
zVKCoNI1eOTVzb5P>1Tin3vrXYifm!4fP*4;k2rMW_9&aZOpr>k?;kkS-XvU+sl=T#
z(I{ik_Q_r6PkZdU(+ri1IYgncwNY7Gw{1PW%gf*SnA4QXLf0eDz~CE>)?Y#>KB*7L
zvGGMlK1LO?dpjXjO0{>|IyePR#LsdtMzH9BV)QJ1VTOt9Ev71$->8#fuHV{0phELu
zFm1AZ@EyM5$VZpw?u_)SGE+}6W!wJUBUBh`rU!FZuBNhbl+zex8=<-W;I=}MNAr96
z+)A(D6k_gnE88jzZhOQlm*xm3Z3)~?(*FhAALa^dszMv^3bxv>tBi+6o)RyeetknU
zzEdNe)f@-(a_+lGrYf0X^pw!#IJi-J%H^PmCKDKd;dWtXL0^?voE@z5=L_KIBcKBt
zI0+=ZElO?FJim2BEHS?=89K{udJ@CgfRYzz^SBkOzqiZuNj<H*u+93yxh#=b%GR?+
zpIzL_9hBKw84v(9mU^$1At%@%`dg!#02P?1dUAK?eJA^Jr_`W6S&<4lL~#!iZTDA0
zb2HlpZ3*6=B0TE@QC$nBn4_@1bjbD;*mYb@O^vVWO9TqYwGE<#XBWo1<2&IOog8l8
z?l=SiSblw%Sz!8n{YB@|T6ZI0Hzb_aTU=CJoMC8SP+>XNcn``0G9Pb~8l1rsuR1s_
zr5?inT%3;RBOrC|FenqLWOs1ZRYO&We8%fpiEy#yXG{wX1`nURVn-W&HjnoVo#iN!
zZQl_r3gB?w<AXW8Fk)i6!r|Q5!e+39yMp8sA^St7S_|lozkKJMCNV>KVdPeELJ*=L
zRus@|W15Lpc8VIFU5EIz<(yYF$9xZ#J+$HOKbza0@?`Ir0TFtXmhI_F?`GiFnFxvy
zmu3|ki4-0u^48%fiNg9@OWekJFROekuw#k4!;V;sCMJz~kdg_^JNBfUsu&9CU|U@W
zqV<ge5Fl%Y%m-|+`rq!zJj6No-gok=eU@W_$8+~K8nx``{c0-0J(sFMFrND3`42k1
zIFMHk2{$bUyX-}aL4;NIz9C$6l&l_Gt7#PujjgCBW=fe0@RWRWumqb&D(pvJ9Ljp9
zVYDorFQB5ASm52MpZc+O^zJlrjFM-XjBW%#XH>}xBjUhe(yrU7r3dtWwJuYkV@vr3
zZ%gOW>n9ugZ#GB1>b{3N4S?9S7o>CtdOwLnMGq(ReFIneYhM2TOC6w<{4$JKZ0_ql
zwS_0HoEN3})&2N{pN?c|L#r9t2qL%L*wni90U&38A*JEsHxdTOnMuo`OfJAG$kYh<
zO4=n0<ip{1Px))`*0n%{HWQSy4%_y45pFd{eh_H7pJm3%+R&aE5u>CHVwPV>4H7l!
zV?N#PE<N{gwF(@-bGt-0%Dn8{M>J#F7S#y@ygoX7JKO+fp{rp0Rw8^gT4Ev(f!J;7
z8%h2@P@djIv8U%ZbEty1o52KNYMOCn_IigqqyCexpHTOpBFPaiG<CO9-mRSKQd*BH
z52b`Nd$MFonhIRZ{B~~fEWL}b(bo@j&;_iR$vo_qcf-otpI3zycGQK_yz3vF*<kv9
zX@B9A${h!mCLrAf+T>UcAZuG+1We5xgI%cJJSAXpjGK|Ofb&5(DDw4DDJ2si?9u{^
zBe(LQj0>~9fM=yVh;0O_j0eE32`HD_fut3{0cyaFj&dGSyTc2d?4$uy;|G{MWieBu
zsPOP8)Oi*EAB?#cZ2lRn+k4tQMpR@bXlG!o_<KU)hP=*m#gKQmESqbt{~0yAdxskU
z6XuNN_hSCtZ>tTIQMLY7P`%3~hXWrSM}>4<pvQYyZ7Bxt57hX_3eBIMPsvuf^%JO(
zrSVq*OTE2P{7UgGTXC|NI=~#nT}CQr0JqA5FJA=g{z%1+qx)lF<Hy!_23imM@xm3f
zXQdGvfE?w|T%EKHh;7dcSVlqupa;W=pk0v@5J@QQeLjGD<DCEpsK%BTh}DWo0TZMq
zP=pv_t0)3?HzKosP(mD45wi8_o&8UsQSUEhZ<!~Dq{GMFmP&(S1#FR6Pk@0SD=~Nh
z3mhWHL|zL~{n)9mHQZzF7OI;l^%ZyP-x(iu9R8i|Qb*zcejKRj<MB#R^_Gk8<m8=o
zhOlZVSiwM07y;0*(kz00enQ2Awun`M;5IXJUZ*NJ9T48$0|f}Vvm*{bgU+C+s>U3u
z$~!9pks~)!=C8XbqZQRKnF3tX<h``O$FKG;kLKm;`*KffP^eubY)=rRH$3soV5Z;k
z_O8N#Rb>w40i{U6d_&B4SaCOg)h#f?_YU!2_4cRd{mQem?JMD{{9^`2M(f$*zw@=^
zwKr88XFpl~`G{Sag##d_4S=Xt4)yg+dt_}_=ulHDj59=xPVI3DksKr809R1|5eMUr
zvkPzqWfptbC}2(QzAr12z?1j7VU3Om6knpI%W7>25QAigyal-xA}}cI?@dJCm%I6l
zNUmAi8D4Ejuhs)`H0ZEKz!K1SM^UQ=zi6suR<%YwX0-wMNdEL6m!2SHE|$%ngC(uM
z-S~bKf>kArdfM`%CaNgvh$=Y_Titi6p&>qcRFt0jYF?69xV5xc0El`#IemBQW4*(X
z%J(2O-eVK~`d2#HYz2gpyU*oIDap295pN&0G&e^o{o}fyA=9uOq4y(i{0aH(PaZ=1
zjwx4R3+!RKv+`Wesy6H(E`Sd(F94wES*@WF^`a`1mlH1gA55b@R+{$lzR5Y;9Ivt9
zsxJY+UC<0FF#9>98|e310td`?kRn{>ADi_b=Y<tl4_T#aW<Ldtf@Rp^v8Oh=z`)Wx
zCD_&3xxpfx^$EuvxngUhgk-K?V+TI4&$lzVI6LpC-CGaI9QW$Un(e)xc<@N?Ma|pR
zYdk>P0R;IZ*`kbw&Y4zWy5kWKY`a>6di`W^vRiT@#Bd`<HfbK6gucC|=xE#40$-DE
zWJhtA&vWYcO=3BGp#^2`*K!?>Kb;(tLMyEz57z0?9E=UCVQNn~4Mh}H&0e2B^CxWW
zzv?^)N+z-Z;1HR;n1SEbzzEy+urv}UetUd|Kq7%ONV0}xr`^hR+ny?zAmq`jjwut-
zd!_IF<&eP{)H3L(PmMfmGcP8O<NmwOp^?H*1vQ!Ot-^<o7f7`0`0T1lF=xkQ>G)g8
zoOF>$#fV!=-CCYjIDTqsbkhq;SSy{2mMk`YVRW4BM)8{1{l?5WrVh~Cd83)(xci}o
z;9rbB(GmhLhW=m0sDIbP8!#K}qD%*6o{~zh&;Kba>Y)I8_!KxkX(51uS#Gx*bxsQS
z_Y&D`8yi8tcn!bPc!R&3jGUZxvTm+e(%O_I0XRkA7QSZPX4*XYrl<;PZz%hPeE8EE
zDX1g!^y`0$O6NqZn&vK?8)Gq6wkh3Ajb=4Wh&2UubeXys)$SDV$UrPBBI_p>r@?vJ
z7)2Sb45)`sgj2)bSO+tG$5?jOkykBEE*g{?xF_|OliIZ%LfzJW(Q^GWI6mH|6wxex
ztr-^%gk;L+>tS9=aPxo?xpr;Bc0^nG-axmVq-xySM<SV|r4NC09)f_H(d?oumCF&3
zL3%3TQ18PxnXVk@LoRkb^U@$RaKdKcEWMG9%i}JgT;_K$d*65UlPZEyt#7_0p?yKg
z@6i3h14kkgom22_AgZiND~+Iic8TNA@EdEXlzuw(Pw@!EtQ$ImYov~rW-R4bA(Oqm
zeTmkiIO&S{PY-eQPbbr0Kd;72m>@tFRSstWt^|5>tB>r4%(?@E{;V~{8{mHadsVN&
zd{7FLY`;=EWQ784{!PAOnLxt^343~;UbsFP$lr*G&fWv1KN(@R{Wou3l3vJpxTHj!
zf^pApyF;7D1_lPc`&*rd42|f4?s6HQ5-tAIzB&D~a0v(FlZS|Y8M)em{iu2Y`lqII
zwl_d9S_jbwK*l^%peXTe%=Z9@9DjW0VE{ovtw2p(1~yVYynqVytNn8`FH5OAJ9Olk
zAGViJ)<q}_;sDst7T8yVF>Ib6;1>m^1yFpmilDL{4l?JavWj5P&%z}z%iiIxG6pP{
z=TYMz!Z(MO$h2R9K6<37r7&(5Xa_hcGh@oSe|M*eQjQj?Qy&~|nSqo2FOgFJ??`EO
z(GmfQMbwwgCc6)x-+sJEW0QA&pU(%14zDi!`%5rB{~m|m)8zkt93oEm(0#m+s3{N1
zu~)4zfDy<7Gu8_D;yp$b1J)q6A6#aDc0`+5AhK%X3~U_cRY4>-i4F{{Hk{$#HO1U*
zBsSIg#_WUcG|hKD(T|4!Ne~}U3J-!34i1g<^CxO5?1R`Y=vBr!6v)0k+YhNNX`Vc!
z2l{lPl7Qn$AV4b`2ap7y{PF|F4buJV`-DRpn)gj$@8?a|wH9=$h9^Hef3=4c+`%TL
zkKuyd(hRr(o2`qUuTO?}P_vn5K#~6)ku0XQ4bHb1L*c64sYc*U2IU8^GNgv_A5hKu
z{bFMW@A*bEo71*uKi~l!22H%3Kr*O$voSOq-lU=MX|=%#C9ABCDK`{mS-ZFK9A1vk
z2z1pZ9RT-GH8k!Vwbiq;wOSFl_4v=59_Iz8-o3`4t^0GF+2n7a@dLYN<{~gQ<UKK8
zm?Y7zsV|x=g&A7%dm=Hj2-2cyULTJAKW!FozB#o0pQ9bc7(PhuhFO(1rUpc<{mKzo
zv%qqAHE4cVZzL8{V;&e|oV0QeBV{=@l#@{Js?_s#*PT#bqcedB3pVdb*|d#SmQ^VV
zm@ucruAER4r9x!qSR-SPua4G+jN!_H?zM%fJt*=9w2j5l0i^)%FQ<&<ZN4P1=U(aY
zoO(%`(EaIrZ!oMys-_`mv^Q4SSn>_o84B$VoioTZQ+-1|B)$ZO&?YJs<4qd8K5vP&
zgd!5*e1W2%!^*eqK^X^l{Kap)a`FD*8ucS)f!@N2$Am9m?$D~gO#f6Kv_ZJ=lD29<
zUE??6XmQJQxsTzi?68P}5D<4^H3lBm(*b!d>QsK3r}2ZIlx}=$q#en3>QSGR)Txh%
z9`}y$t+#hgl{8h+#U~0m#UJVl2{p-PqOCcMQCU9(0?PQfsP_}ZALl1UrB&Uvu-N$z
zSkR3pN<v`B%oNJdn5Dsgx=ve=&s%q@)QCzR1V>#ZJku|O#0M#ik}v`Dp@bjY5LrN^
zxTM7TLMJ#t7@{Sxns52@dAVb)>ug${&Y=9A?<3(s4R&n*L_WNHY|D2u&#z3B!~a^I
z%#)VV%rlGTFVP8vi|y5XbDSKDJk=NL-L0g=`J=o>@64xLDrx4j#4b>Icaf|9=bEjq
zgA;Yp1`9wmC^OJG8jHOTB?566?-ES~Bx%J?au)J-`0G~*H5gbk#pOd*`1-}89CEG}
zMpjlC!0>`vJ-RqJFyL%b!xP+yW?TKI*tI5?G3w%xfaGQsx91%FuUZxll`_3Od6|7d
zl!pB7!PH#yn`aU>m)KZ2mWJ_Rysc*4ChB4L!+r;zMwWbjOqVOi%@m907rXWb3X6-m
z<2voQ-*^GAO>2nCg>gXa#z@S}1I~1i7Hp<B&DQ`xBHpuJ+YcbB<AW+_fVL$g>;If*
zVZYpuAP<u3K@8-99jiEopvFJ-$RgEspqZq{kNQR4+l3kG>r1M^pi%zy$X@CygIS5U
zKMz>`<MKzN&OqzN0|Iud<bexL4%io8t4|$jkrU{2=WHr50}-zsgjFHNGh+Zh__?Sm
z>F94>0$6GbC&8Zq#^*|V$~=`WxO<<P_3`Hej0jkF&jC!;fFD%{LX%t{<6Q8~|1Lx4
z_bP5ZL+hr>fBLl|qAFJ7E&HJs#SHu~h(^HR_(DX~PWI^Y@Oc0*Ne5;I?8-vFdHQ3$
zj$^gzc~iA@bpZz*^k5ao4J7qC5XZE_fAeC&*-t+yiP~MlXo(Gr1$}3rpulE^<=07&
zhG2vtzTRG5hCo=SXnc4BD0SV2Z1Z%uJ5U2*9pZXP!%Ekg+uZ&?kJ$Ez0UEcPRD0z;
zs3Q;u^Bc30Kfk~4{7?Rk?0FwWL&LKSxuItGKl!`=Z~yMAD^lOMXi6QG(DS83DwZZD
za=~r`N1^f?B6s~VK>g1U<ICR*lm2)uo{H)@+62moe_Yx*Z&BfhR{7@s4i_bnnIQd%
z&A<dyZf9E-vDbc(LMF;elv&^LAYH8k8N<sjse*uT@MfxZj?5h1Fd_3G4ZW6gsUppS
z4*s2I-!IT)oxyJk6+;vjl1o|^`>jsOwLf<kCFbeg>n=+MKAcFfgXEe+#S**<;6gAA
z43v#k=IR%pPQ|M3%~FrHZ_b$^8PsYUP|-_-{ZM=qkH&|u@CcD+@fYX74zuTqPzH`8
zbld6=fb5+H*4sMHa3G7Rb$JU<QsGw)>5zg6ZZ=LBzwcch8fns~?<DP-2O!2BGZ^|}
z$Ewjv;p7NFyOx%bvG;MWXxeHFwcv62xOcB3yjh-Q9n@nt*eFLIXaJxj)5zo+@cFun
z5fd10Supq(G{GeBa|Ap0KD19B{|>;LJw$%4L8ws~JU&X|;$gMN-T<$-30s`Esw+{|
zoAnAPmJk%3eG6I}d8B1!XX>$FQDlSm2F3@Zjr!o-t=IL%Oy!C@Q!Up*HKIDEjD|)o
zuxtkN=x(Bz^kOHLYb9nLLGll{Xq#}<km|3aZ^k}$P9>71)QM}1$JbYF-IR;p=_yvW
zQpmpV(b#9fTV>out3K}u-Dp~x<ID%Fj@#eDti#5E>AO7w<qbBL+hTz0m))|+b`lWY
z<mEHbC5HIC9D7*fS70CWsg+4}G)XhNCv$Ht7Y1I>R=0LQI5MNQxG3t*iN6X({8-*Z
zp;UX!q0hKn=oTUXMc@>Z>dsP9%VK!dMi%VYUgN>QPiz&S#4`m7*W^ql<+U$l-h?P9
z_F%cPq;_8{ZKy?fR<WC;3+thP4BvD(MZBG#nheo3ItFqzS<{FgKe_baGkC;rA0g7O
z%z~nUD1e%3j;JjeL9EX$G}7{lx2L=S{T0NeV2b8CTY83Ob`e|zW;IuTQzxI_Ww<;$
zxK#1!2k1cFUGhIX3{evHLuMfprxc(B0ay}H^~CY-uG)|seIJL|fc@vtkQt<l$;X<8
z=9}fA2DWlg1b8cPtIndhowVDVfgjYW_X1`dCcxIgRf=MaW;p)t@u#D|4KPl3xQkW|
z0h~h!Lcx-DvtiPK8w-2@yi0<^74X&M5(`mZPjz+m7AEdaJCE|It0tz<LVm7Gv);Bn
z&j8Op2IQwY$~cg!?eahgIzuC&;D{u<m#D-5?KUwjVbDJE3J~f~VEV*_C;hGRt2RP8
zY*oZ&??DK#5aQK70u}t%Dya@6Ja9pYPA;88uY#Wz!eZjr>fwq2U<~;Rjk&k*9PiH)
zC#{1CJabWZ=cSMPTwG&D?u`p~(>v`NugvOu>r$3XY<rl%Bj8!61GWu)ZLmh?D0wyg
zF48VhV^@_4lo%bOB}k^wDHt#aS<ArtKjA-TtD+A!2Q%xAp^0EZ-<F_DI@5|&%v8{j
z8Ck-+F-gT1vFi^WYKf2ZCucqM?Y^v*s>_sQEvh}{6F_~RD5~=0=W>oRbwuoDO<naB
z0h1CkOK~GEPW{ZA3yKZZ^_J^b3x9te7WV$yjVLSrsWz79TsJOA^$*6s=L<*-pFh~O
z$YLe>$wLi$N^MD${zBpSdkZyRQ?}>YSnXR+={-(Fq|vbcRJ-$2P5bPPgj15rOx}w;
zcrVPk?Yclosbz8qYTIbgD7Qe@B-6lXcitekv?_@dP(3!c3Z!STqTsk@YIeEHjH(%E
zJleWs*&K_g$_1r`VCYE0%WhOx(CS$cGcR0wGzazok2T2J4^y@18j_}SLRkU!^9xAk
zjV?IyaKHTS#|w-|k)SO(VfZQ!5I+T=U*>^5`G}96T0t>ZHZ*>|%r{kEjG)cex#u~A
zN~#vHA1l4No_TRQSt0DRM;cw%-68>4+4K>CAlNpC0^OPhno&s^ne{=?**$8mVWPJs
ztX*8AEgcZ@Xx)2eV~_F1jhT-&)l%mr&wLUe9cEj-J2?^;7xxJ<%Sx*j7#OIR+NM7=
zVhNOWmx%2tV8dawxco_XatK5P!#G^vy$f-hERPQ?3EP}{tP6^G(Wh&I>??+CcL;G5
z8qTnJR&Ov98$jQ$&aku3|LX3_|DoRh{VbufRb(iP>ZFpfW=WZ8Q|DBOR%0TKr5enj
z>}F6@h{_U09Q(e6F~ZE86fu^Nu{W0FFxid4Snhi|-*fN%2ktNT^8+7``OL@X{eHbZ
zul@CUz9C;0Hk9uilmbycFbd@PhlTa^^;;mfX#n-JB2<MxG>!4eK4EU&dXlLME@2Lx
zI97aY=1;>&%D2wWa{fXqrbC)g%AVR0I@HNzz@|S=aw=fg3vC(ejdIR{qCZ|C$u6C_
zS7jvCZO8q3^^#kqAsm?0UjgQiv4o;#$5PDTsDrUX!2oXxbV;|!d&Fx0(85`np9<hH
z<z<Q|T^?=OK<}(~>s;@g=(+Zg_YBO2)WtV}Me~Ov;gif4b@6$9eSKZP^smXsu;ke1
zI@7E!O_x+>WjQgxwU5jxD$l9xDapib^|S8*;0xsIwQt-3YS+8@p3k2@i-Wixlm*Nu
z8wXDd%yTS2+2UtSKE4*?7rU%_eD3o;{m7BaP!QIoTh*ub`6Hg5`B3a)TN7eUzwD++
z)D4hp5!)}=u92U4W+iv|QC%eOtCbC5py-*h7$E=CT!#=f!TVSS>U~ueryF>I+n09D
zNHOTfK{6mLXbiSH;#9BE1d7?hi+iftVvee5QBUu&;RHSTjLU!&{mk}-MrhljE`kZe
zG#T%2^7EBjSxS<MU?p!l#_zkgrJ5Xr)(alo++9D5V)sUaTB5^g2SKrSx0pA?+X>L@
z-SAGZF{m<j<dOp>$t<f6d|X#w?**qv3jU%H00>-M_zOU9!z8mJ$XihPMF)wDo6sq`
zV9Mi}_Oy1LzvrDhe<M24{-6&W#M9VA<Om!P*K%I>@Bh|5e!m@C1u$n5uc+zmF3^n>
zjZ?r&DJv-nv1Ze?e=uO6qX7N7*^!0rw4sh_UfL3za?j@u6O=Wd9x){Qfh;5lv3&=z
zw>`{gc5kem{9>%t50|=lhqSb`oP%K(Wla!Yt)){BzSj@ii;p<88t?tg_Lah}UA|?O
zncRVEGQ7!a_@=6@T=T4sKPc);8l*d*74b`%fBAcKu5$V3?(Xh8@}VR9ZK@FMN8Hs7
z>ik7F=a)N~nwe>+$H?HDY(V4YF1+fWzCJ|zJ`=1bx_0eknD&pa<GULiOT*Ww8c2Eh
zr3-Cjf<xu?1mcI8nHfB7q@&~$#jz7lBF&r|zi+hVRzXeaC9?plweGU-rDSxrMT5Uw
za}oE3ZTgQnEQ{<iXLu=c;z~enZ0vcgr}`8~B7w*v7eXkQJd|j=YQ(u6(F1Pb{V8mx
z;Pe2GTBy@zU+LWQuMp6A(57-Mmjcrtb+42R*|N5_<_3z|L3O{ImlvN7dJTP2zXk(E
zG+-gS*1$-D6}H;zWC<wYt%{%lF!Q-5c*-0ti4A3%@#f&#AXFc)hU(#4@J$HN9<noJ
z+<@ahj|}SgpoN1e_I>+CHk^t6uo@H;#8_BZxDV9zARvu&t=4f4)=zmGcmx!bdmiwZ
zfV6RfvM(&P11g;E^5JJzkT}7r^`blyiD{pH7|a9G6A2Ra0I63ZKdGR)S+@#)gRpT0
zWw$RvJE^v|_S3+g{@tN=2WI3+%A~ag2h{@yqIM}LEZ>|hJIjUAk=3)av#;UF&z$pK
ztjL+P-TgEzCMud4m<3cR8m+It2n9u1%(%D+T?^#ZD6Hzq<v7X-{Ai<mv}pY6*YB%I
zep#9a7-AZSN)ld<);wJqLF2+(oPZjS3bg~n6&(R5`@rFFYuEX5HhHVc=HT$G(VC1=
z8wdK)=;&yt{m~841?3#5QFf^{G7$8;^#V<BD<bFpPv>Omdso$xMSz$O@4Rf2H`(PF
z1s}~e>&&vW%E`Q1KYV6y39Q>Va%A7*$B#FNcJCR{+@O)jV;YI^@k?vpzkfd$s0qXx
z^{q~ubER|V1IGd^PwB~%CWoyvjZz1q8`PoS><iYA7X?sVZEZJU`Gw(&-~C|+J74k(
zg~J)tZ#hO(!VQ~fkFhQw181zGtqq;>e2W@3L^sNx-nNN@ifvWdtnqYY=|;cHr9Rw}
zgtRm!rorA!rw%81h6yCb%F=jpmLkFBRqN@T6Ca%46M94TLF(cq$+Y^#*7jBVh~<4J
z6zj#EZt=|HCb;@xshm)|C3(^<&;Zs~Ms83>J!l)aXq<gLtuMENp5)$mD97}Tz7nxu
zO{-V}@$t5^vqXPE6!EYb2F|nKWt#})kr1WucE*usF?oiO4A5a%AKmc%>cGIj#wzeW
zjgQw%^RY*)DB$IrZ-KfBktyY9Q0fBFTebKX_YQwVY4FwNO#y%S=u6a!2YLYg7p1JI
zxY{P+>dI~v(^E@m4fc)VnP9OtPInkNfEu^0a#9`YZ{wRvASbuwOV$=^Rg%sXCd9{Y
zUR`~-yTQrWA+^E1=N-3cSNV$n!M!>Ma>7M>hJdIVfBedvF$q#%t_uz5%Rl1&bZX4^
z*rAeek*>Z?>*!IdI~KPyQKj+#*^=?|c7rCr42kmDomj4~hV3!|9QEcx#$h}$@XX#>
zXC;=i^nSi3{Xt~;wKZJllq-ZHz~vd^?7p3bxVX58XPRpIR5_ROQk0vWLBFri6{CVK
zIzd2kdOghV($}mc^SHOv8+qKc35#%b9Ig0XIP+{{ClEoQDx2eAm%%%a01nujS}p&*
zZ<-hRi;MI^_Nv~mjf4xeg_3ujya(B?x4Zj>L1Fc)mD;jcA%}|ql7uk573(>NIw;P0
zO)JYOXC111?#$e<{n9>XbXs8gAQ#<ye@lBKewIv**YKVEZfm`gN@eS}Kgs)7I5|GU
z`l4mGC*;Wv#wwi$uant{p}6-SYLAB5h9Hj|1Hs*5kI>T6Elm0OTuWUUfUHbjXMwhE
zfdGzgdQK6Pl`p>2lHljy`^@1WMnQj1S7-U#MJUXsWp(yU+o0mE#PiPv`lB(%5TmQA
z0kymosH98Y+ZEu}pd}PR`z7cv4>)`79O8_Htn5k|{O#eA_=%BK_NB^Qii-YPVW~1{
z2k%`_jjpmLn7?CdgpVvW03qn9T45{$o&iso91Dc|`TBkvK9DTEY7~~r+b?HPnT!{L
zW~Nf)+tF_fi0gwAuJ@{vq(L#?kXiW4v6F;Jjh%9uuUgMW@pK(p6vfuVVo`_tdQ<~J
zFqlTe4D2ZSx!8E&;pn^Au7tgNhYv9iABzElxFs~6`(Z1?l?U}8Zi>mq(LO-Mia!7S
zH?*bW`Z#%EtYfSI7)l_KYF8H@{Y+bl7XG>q^l<gw>tB>!qna1RUHg#*oDd8NS)2_D
z11_L!)^-D1f}ezLt2mB>t@`%5csS@?mY(SRn>vw0WcPYO018E`gp?F|lvq_!JZg8j
zD)z=%o|`h^qyp7o;C_eDpQ#XfkO5?@=~}C6>&j(ud=mrawr!IWZ(%|4kso%&D(3H&
zGoxfzY_<2S+Tc-qlR<>`g8|=u4u@z*Kz8t6Kb>104%d{!eygeax~j4nZDXz+K4-}<
zp<8q=a&gC`KL0$Vc>RE?DjLhxX=e9r^|_mgqy99yeC7<*GVr?RL3VE|{37TQjkzFW
z(uM?xG;IJ|BC!NrmtWom)h3bULy_E{KQF?8vAw7zp}EO7$Y~Muq9+3iG&@G=)g_Af
zYrbOLOk$0$cknBDp;y#+0rzNEKg)Z-0W4es_{yC5BZEMzO7~G^U}P--A#4_KzL}{1
z;`fE&;1^Dh?Yuqo-x#MG9_;DqNf4&&*6rlUM$rxTyGrN4`#S=VSPe#4rb4UNO>v{U
zb^TOxf^)I*k<=G1dY3q4@!}4%V@V}o63}&kcac(2!Pg>8CS}ZJtQa!%EDJwqRUdiN
ztlZbpF|X#YFu~<o3tMDm)_?<R9#GYpj6Gwq@KXDS&fp`J&4rt6aA2D+<&>%MJvsnd
zuIlQ;S<ezSxu)e4a67z!tt2FPzE_{F#oGX6Zxr<LBRlU8hq4l1!ft@|x!TFwfJjQ}
zH-Fy;NbZ|UZj6@lk-#QpeA5FkfLaLTjqvw5l!*5PbzT=fXdOQ$QJY~Bu6LElx=Y1T
zC;poz@(C9mH3yZL#=xrRxpJtWd{HOx>C>k#H;gKTmd`xXZGEyL02u+?Ll{Y4%P!(*
z9cEdMl>8U=4V)ZnmQ_(^)Bv1(1w8#uK>!6*>)DsP2#`bPAb0>3(i&<f|JY96+{|n}
z3%vXwCEIGh;rC7{-==284c}xrxaC%5`Qj7^XUK*ADOvl4T2VoK`}*~Y9;s40^DX;q
z1w87b+v<rw`$2X`g#;<iOiLT#5N=xR<E2>eT!EROfAr|G(k+-_7I3jN?c{rbbK|dA
z&yCQ=FgbBH7kO@ELa_wWu|R1{@L<$>6&2K;X+k-oT6Kxq5BuI)pqb(%5T_9zr53nj
zylU1aiHz+C*?`kEEa0PT3I=+;EtyaUiac_$aY=v8`R5{SN&!V@wIn8iT1N)*;fT&k
zjg%66fUeqPSEaY&^PcS{Z5P}Wk)jd1@GAjA0)XJ~Ig-~CXAdz;T^==2l{Gq9_V@p6
z|H*B#uGinwu)UzAe03XB-ouPS*@)<TcrZ*fD>KuESWpA=-oZELr`5&J*VotcK}3bW
zv)vOE2PxoP#lY~1bCMDg5r`r}&pU@PXvJ<kJ)yxq7p-LQiZw8n?CqyYlAe0pIA0gP
z8<-33_V(!+7&CiM5KOUs78$8Ln0#fGNV`Rhs9NGcaLV<wFMtW&#V+XuqYvA@$j@61
zp1jp4@1aS$eeT@3ZVtzm_t%wA6FFkdxeu(Lu`7Uc>hw^h8`z0EXO3%0^>3}lykaGt
zOh6A`L5@}UvSz?8X#)o(5IKysHXT$}^Vm{sD{G?1IbUPUHAjhxi6z6xP%tuVaq|4#
zt5ajD6p5l`x#`>BA#4{1-20;hXy9&jDP|`>ol`Vv!wzolFY#9F-i&)~mL(0F%JmBP
zvh=@%kAku?85CzS*qAFTQiCSAW&dq73Bw~{seWOv?oz+Sb)2bm9)FPe<cXoLTKbbG
zkf}vFV3_0ET(ZROKlyyT1IPqdFk(@cWGZWt96!1G<jLpN6z;|CFA_Q@4itqy0e?$n
zgHR7D;UZbAdrQ|Yt24sm2Smi%1pH3Vch(o!=9h02-D!VjA!~e`ps-^*I9|A9OWO!f
zaz2H#dk=#lBN4_aSAKo<|L{k8Omv{zpwVdBp|RmP%3T?5{CEHuYElAL@#H5nxThr$
zocyk^A%?iJTMT`i<#T91G(9kVt}W)&x(w<@{l&?L%k(JWy6nX=Aw}TgCX*tFS)E9y
zC3CD|go=44u0|mqa|Oa39O-+u&V+&e!O5-+b&$PPiZ?uaJx{n4=oP^vX6Op7ZL6Q_
zo!imdgxkTu{^#0-qnP6e8as+|J8o|8uS3TPXi#wG(aa6XAp7f)LXa3GUXa?a58p}t
z+GqR1<#?nNoFX~}v)R<n<Xp2_#Njq7U#;+qHnoT<FLG%zOVcsrlrAW_hqWq@e#hHG
z4C%@WYft{3b@Mvj##5vPt}J2$5e;(ah`T!v;PK|Gl$SOa3WD5oN8$Zr#-cP)Z;5V+
z<03fe{F%OjxQ!6z#-=Iw98;vDeL9%SSURvizotMF;Rj6N_7FQJMH8pzml1>Y%-JjC
z&DP}sw*vR0DW{p!Zh}EKocOH9{hR9ltZwh#_OjnJvYmp`!ZRri=2exAa~t0~ZbpjB
zqPZM%%D`VNc<6=3bQF0lz+xq8<t`?Bk7jr{x@)1!J(;eAAgRaxFlrR@$s5Jn4!%%J
z=Dt*0=H#7O-?(nkYldT%^{*t0Nohngh9`eswlnq`Ql?)&Umh^iqL$2o@sE^{g)I2O
zDlKj+cp9Bo)#3>IH%t*baXR-g%Ppwy-r^=U6d*8sx;dZjR^SeegqXdhHl@*2CKT4!
zc<TYPT-$qVDkgGJj0hc8-8<%hpi*V&e=(4CBHFf(#nBZzM`z(zh&8xIS0<b`$cv_3
zt1hzVKKw2>g5A7P_`zrqMwY@o?JI)1+9r;UF}BkrD=5TI<&Vq;0hpo4)TeTrb!mow
z#$-O64y~>uIzgv`{4}ADhq1;6w-uLkNSj@453H{A1*MS+LO6A7ch!G4b+6>-A?$f_
z!N+ROk`Lv&-SR2IC2@cH#n-xPtM#lV%s?xH+O!&swVuHaBF{G&&{E!ske`a%#NEpf
zF!G$UEYYHC)#u!x-M+G88;5tc7x3@0E#A*E&79Y!T=U;0g*Q5nq@*69T)s^%ML8pe
zgPC&Ocu}^d@c--JzXo3i{Qo2D`Vf{7Oh6e8gpj?ZVg>0U@u~io=6o^zujVSgSG3E{
z@OE^dNU=!UFmYJlj`6KQKZ-wApSO{;Ut9Wvc_WF15LhORhX+bw$ZFeO{jNJT2F?Fi
zu2SfAOu9tRaJ6A8%OLlQtrjh=`q#4OLt(-bo$CwBLuYXnu#TNr^Qn+39^)l)2o|2<
zthS3&{-a-SN)Go*CPNnO6v0(ZiK$=H3L!{Z=M4wkzplhGtx)dTa6LrS*tOvh@}S@9
z2%VB}1XF8#qcHJQ%CXCPO!ptcF$KG*==()WP~QRc0CzWzA(S4U^DhPdS~Cou$gO9b
z8js6wg%j46a`yi~2uwqKqD@8`Ub}ZCx(8X4q-EiVuNu4ryS@{=1+m(z?~;+|rv#J!
zY{B8CzIy58l>6L);9<z@H;49^trG~p57J&)^fgFf#;goY<FFY-YLjQ3NPu`z@K;ux
zoREPNYGns^0zR%BRH2HBGa9L=!{N59fY+C^`?H*Nq0QIwVi4BnUZ2&g^3S+d9#W{I
zCgR0H>E0~&*Izj*F(ZR}&WEPR@MkJzt&#FhB<U)dUv~w-LwVq~+h5#6Up=CHY0dm^
zh__~;NoLHVHKrfYHC*17;+4Uih$b(I_Ip`se6jBDnw@S;x59$9jrrQK?CDZPi2Cfv
z^ro|i)BkhFe;C8jdiRVM*<Zxk`bwN%Ku?yjQ|SCvq5;Ii)U9i)lEY=au|HF14X*yq
zk4&9)A8=9(<?8>LD7`ZDyX3OkwZC@^SHwt9O$93#{^Iuen186=_pO$FYXYU0zClMS
zhxrX+^NhzHUr@_@EqDuOFU{t;1ub0j+eK@QqC9IK&`b}c%#PH?NWX(6-gI1nGR0Px
za*gJfoB(UOSnohorMEl)q8rF}g@5F-^Wn0OHBj%I&;@CD>(Z=@lL{szu80ViawOYo
zCP_pLVY}9M7``kB`UdGjObWVtgWqpQ&eifE21D;H50+7Fg1H-urnITuXe&G8hs*<k
z^FcS)%4A6rqzVc{YUys$vS7a}aubtBqrVkj_EVZ6(%7{GR>29OBC*$a(~7wvJX!CP
zLEzv^j?Y*(1}!mUxdO)9N+jZpC=JoY;r=$YhnTEZ@kNoRJ|j1{1$VeRc`!Ihj$gSR
zD4svf`KYhFDN;l=&<4k-E}<BIV3Ua(qFuuki3fse-8kd(=%^7IlW?psgM{D#1YE@~
zp4bTkS6kUR{%@osq)jvRMqNTR1Y!gSf9a#r@qJ`NlK_-%5wG^9+fBVP%Ls1iqWUd(
z;Z-+S*X#S}MV4SUj${xn{=@ad<g_VGuA&~EOmN?A0QZ9=i;zRbbLpG<p^017Mc30p
zdB;Nuc79tl<c|jt%Ki3E9n1MzbGm#L1*Ja|^vlqu7bR|CWc!8e`2Xy<`*A}|dPlDd
Uiub5ln8^Rb#OzGrsawJS1sVmhvj6}9

literal 49416
zcmeFZcT|(zwmup_!AAL11Sz5tKtVwi=}i$KRO!-DM4I&8K~w}O5<sM@1Q2ObLJ2L3
zfOH8EN+2{Tp#`J_2<5k;e0$$L#<}~q&lvaqamG0BFeKy6n^opovpmn7%kX;|O7zFr
zjzJ(0dYJMZZ3yJBHv~fS@CYrqgM0IS8NAUxR8_hI-odq{P#px`jyfwFx<MeEVU!nD
z%+!h%1ack%yK_s|J9S|sz+ZPgZGV?UYKJBb-)7?faOBuAyFNV(iofuiz5x7Gug8u|
zpg})=Ky)$7Z{2PkZfA<?c62D%E-k=1xZpDMJWbVKy@n~TSgQ^tVEDiA7estKe^HDY
z_I*TcdfLB84laL$=I3K&>7VQV($nMZ5~C?@(_h4sNd7Z!(BH%S-#`D~NZ>rpjUl>g
zy5r8`Ofk)xaqd-!Ah>%vv?J*T-|6r>H4W=gcP@6KJmw1%-Q$p+(Fg~4I>RAq#w*6<
z`8>t}X9P{e`;5rk_KVDLQB@QlTa;{EZoxciMs+(5Vc2cs-V>WabuduNwBJ3MnwrYJ
zUPB?cRJSV;sp+@}&l|?&EiEm3jmYuHjgzp$@W(2s8)+K#^Qfhk!P!!aFHg0*R`F}n
zPU^<SIB!@#Y}?ApYAR|Mr?00srR<9}BAb3SJ?MjG3K!gOgo6?;*gN>}C$NeA2rRz8
zAOJ6fuf3S@x$&X<qh;h}Ew6hf7YRP=#)H!FvLW(g0&r^3BBQ8?2;xKcEIWLu0=p-E
zGMr<%hB#0>=?P1|Zq-^F>U;8_k4W3PtKB~`=280a>Gq^k;=184l%W$MqN1Xz{IHxJ
zzWn>e50x@Tnmk5s!UbQit=NccWA2fawZWjB@{vB>Hf1$k!e$q2t*)`AZZ4E|EfEGi
zBM@GZ!d!W|xrQlGGt_@NLJy4Lm}?Y@Jr{@0&Y8K8!vb#=Kn-D|#3~{~PS<-@%Y0~-
z_GNC5u;!+>Sxs-7k9ZwO`ULjvF>juZH&Dy=)g({fbdp`yNL9lEH!P3Gw6}sI6uEI5
zmgY9yZVN{=H8rspAbSds=IjgM2lJD6E@QNSp0&*07#?|R8+4v&z^Wht(G%9A1c$f$
z)C~PHR>98B?(}Bu<vgl~=V}R7FyhWd{La=YA8b2!#^?Cl+?-^Xo7rxG5pqr#)>A6M
z`@7-gG_SU{wtDd)I;yc*HhU_kI;1{!=zjLDkB?8Tx3r)~;v-g9F4(7{qES69EteMv
zCDZ=h_lSa~w<($3v!~#vPtYbR8)+FBRA|F<KYpzI!n&#s(}DKQ{QT+fK)__-!n{8P
z2@x_C7Nnp}s`HiWLFZa7hh$z9c6@4-)73fTy;WVF>x`SukD`lwgVpJ}_n}h6elnpB
z|55&ffc+#@=9jkPxwacyhU`KW1&Tbxnm5Rm;BJh|SCK|p*N509fx(>@t|U<_2WgA4
z1qm{>A>XwRZfus`mQ+o_!pzGXFUp$U?x>NgQ7GSxn2qr@f}XK)wH9V-x57YIw-VlZ
zD*W3c*r)vbnnoi(>+?+F^;ua~_AV|i&?Gg-BVi3XpYrk;*+|Nf!p8Z?_g^;H8Jbm7
zF6SAvv$jZtWWEoWYmdefO2f9NT5qY~1Kf62gk<G}jlr;a47E{LwM>$c=Ba9C)pkZ2
z#;O|SO*D5EN<KmdMaVl|r8muNNE=T<TWT#>Z?w(eR&m?LH!vr+@+K+A-3*OOfy9EZ
zPbgx^zR`v+);K?@I39Dxe(_CgDkFN9Rfnob__2ML-EibB1hQQ0+2FNQ*|1X#VXr1u
zHg({2pIxU~vwc>l4;LUwXDuB~%byHBhJE_<3FSxLSoCUoSlp$u-2%~c$^g$?Wqpz{
zJ~Z8V`QD{oVazJ^p#Bctxc;h;kont!l?@XylKxql*9AcA*9-RK>YYv2kJp1CS2wWK
z^Mni0j@wHt78rv~q}hh`_A9KOJ$APAIz<Flzf|k1iS3G`RdU9YH=hgnVp~npem67U
zLf4hF^V7}Wk@mHR<=jR4T-~{-^y-Z7WuvTao?Rn-4Fosw74ID_SkSAxnX1ssa&kc>
zh+yIAEWGF|79kB4Bd5qJ@AH-iD#@DCq>DDbe}A(aAqtz4VUdsup79xd4Q+P$02;c)
z%*@Q9g8Jf;Iu9M>7OB7*xgmrPbTZP^l7FnAuuy~DatV&GxVDLVew;-k0pTp3YHnz_
zMPu2n2p7F-UboXYzSaWeV3=XEd}CzKLb+3mU)0Ib7`fcCD($2}EC-_HfX#?U-*~6@
z<v?Sbct^2g9;PHB&+hw~@w#`Y;$q=(R3RS>J0xIdZ_mEH0fgoUJ@ZPB)l!z=gFn;n
z!5q`<=T+g8PJ*o)n@YvY?lw-YRP!J!Dk|i9y~q=dui^^l@jL`$FeTNt*4FYO<BBCu
zSX#@YU*REg+<*7WHd;8gc-j1QkK6IJLFU=g-Sd5YeT0&d5>2oZUYFg~Ho}~Nk$6sq
z6FfXTh>tQg%@Yz5N}(f5;+;r(divZwGEi+&K5|r~Dc|wQlSr6kmyw@uKtRBJY{t=p
zPAn6g43@E2Y+<Yjf(;p~{4K5wG2_|0z4j?Lcko>US6)FuL4X>@GL)13&o9seQ^0N>
z{Q4U9ujPZq3)cMKj})o=&y&MpB{CQ{YeX3$5qHX{yElskcQV39KWB!{WBr?dfU8L%
zb<>HwS}0F}ZYf{(_OxIvr)I9Wh5G}SLfPF|>a<iA)}&L1DRUpYcEp<sQnxlgA}q5O
zNT$N=VPbpDCE=g0w)VwnaPl>usI9fm5^{KgeR1Dzw7k+<ujjOZx{gV`c!93<>19z$
z5Dj59^}l`?vZ)P2cYlbBaMyAv<ejE{lwWo;7Q2{Yj4YRVZy*VmEV^X<eNpV2_7Ib*
zts|_kP6By<GBg^Foog&dIO56-7@h3<GjBA<H09Dz8vV>jB?LJyAo@*vd!p&FURV0N
z>G-||+|au3m8=`bo^Ef)Urc+GF;bB#pt{O1Y=MYdrAApB6*~_6$oHz&raM#~>M%+$
zgkcgjFX`HTu6`6yD4c8z&(pbm3z=P;pUwywo1I(B$0GTFhzf5y998c+KG$NHbr#1^
zp5L{4)fDBYI)7m%9nSuvr<Cu}syi6c#)YxNkVj!i6~o-RD%DqB?hCjbS3m6xpHjn{
z*5`6y66B)Aq%w@vycfOq=5{IXr%TSxX~TQJ{N}Etvat;q55FJE&|}j5F6`@Xo#QB%
zdtZ?%vkc+kaMU3p$Gy3Cf{IHDVzCzRaCeF3Tn=N8=dx7*YLtf2D$v&Eh|&oN<l41E
zHIU$Z-<?nm8EMPZy~1k-P0IF0r%(<(W__ZK>syn@8EpJ285<PV2ck7PS{dgu4@)RH
z`oG<{&^((ocxo-QzyY;WL{<nndP^zRmIw9F-)#Rq1j6;unq_)6dGa>u-6eyHCqsGP
z9^gZ1jj=NknAe5hnI=Tb`PRFfDr~+SqBes-oY$Cu1u2;;KlMsiKfao{G7L8Xec71;
zNyr5TRda9`NO)=M&jf-=?hU{B5!A^qV`0^I4@cDS9paF4j_Svk^;NILV?;H-P_<J*
z#0QiU*JBZl0dv`Ok%)#vHKAAM-7eJ+48AWt=E|^n_&5Y2Urw=9CHy^f_@u2{4v|^W
zL#g^0%4RTeOWbqQC)6cZHQ4Su8W@Q=KEWnrUAQXiuv7Oczjipiw;;s`DKk#M@#$n!
zL0<e+(8gMSrq!Xf(QNHOZ6MBxTbW>Ez=nG#1m-5Mzh1u_3ANgOnO49!ZwvEsz~|8y
zm!&7m+-g+Xl$ZOl(MI|Pg?XjwB8Jl$*Q%OkpH7$r_-fasZ@$wR70*?EA99767V=1B
z$SQ!={+d<ro5gSe8$=At%(>#L5D40tBDuRA&T{$9GI>RHr3Q<(d3@FhpT>?nn70@b
zTR&&=g12@Am48Q15yFb<zA}H~e&}VI_!119QIa|RZ4pNu-604>=`7F;3*8f>24B_I
z9u~3kkC!agUiCC_x$rDn;4*ZWdRre8z7#B?d{kmpsPA4DC?KlYwa}&UpI~J!^<{y)
zuo7wAK7qApgTOGa9F8{1<k|C0bM4ZArY+BbrqPL%=@9uau95Cr=3ZQ7`=wl$f3Wbe
zFjVd8ow~if)v3`Z(g+NJ+{axRK4!+*+m4W61$IJ-Z0OB_>+-edaNX~1eW=pn*;zM)
zf!c5!r8L?vE#Q+>ZXJ1q7BBmgb$2fEsIRYqTD@)beC-{h#^~<U4<;kd{vnUKo(t5_
zKo}el_R9?AC+-zFgqPu8W}P0toeF_iJd146%qg5tzet#e^F!0l6Fgus6-eY&M;jY)
z@1!>ffIISmWA=rK8QRY%5AhNR^5>V)C01=l*VhdzoyT?U7i02~2FgQM2<ZTZv|orO
z_``zWA_8ntj%?GHsnIV}^j^DthadOS=-3MzF4DM+F~~X1iQLd8^<m_^{6l2>iMQn-
z!Lc_nH@)eMu{lNN#HBrP7eZxCrUxJqAavrcRJoRs^QeARUnR^wH{rC0IoFIdOpaer
zFmQ1$ujt%py{0$^13*W23y_+I_Cm3`=WVkQQayyVYA~_k`mU#kkE_UZ`Sq;U+;nho
znB+0#BP4<-L2SdxSWhp3n_y_a=yj9=ZGso7{Z#V=eLNB=FSB_yTODa6aRr!MMjM<l
z*4k1!t8E|UXI_oR)e~pGiz|IKlBt!-jyU@M*7L7mtPR51)Oh>Cs%dU``jXFP(!EQ%
z98q^UyH<HwE$c25;@u^8-S__sxEQ-;3FCpM8`Qf#_)o#2p)6oaAP_jFyt-XsRGYCj
z=0?I&EUIlAaebIUk9PJs_8A7t-`>~<l;jAT4iB4lZamJ7MDDg(Yr!vqSg8YEH-lP|
zQ%3y)GEA>~GFZ}~?PdD{z%@Uf%V`>kMF3-lLHl}p%V68d^C%W&6xw5?1T3+320<{P
zO!8#-+OFTqVVGC#uU3I9_=fVx)Wv)x350*;-YXM7wIp1?@WvD#A=<W;F)}?W?p<Xe
zNKO?)E*R>G3I639IQaT?)4(w^SkA@{X`ka^kS<(1w|A<R9b0HBr7)7`zW;-LY2yJ;
zK>bWz9{07Tf%KKAUe0sumT%ZB&rxu!)L1D+1e7bPn7IZ!M2ZxKi)dnq*F~zd;T+9L
z0)*mphf<yv)>Z#(VXy)ETsUCKIH!I)*#61zJE?d*@SEd29-T=yaxSw)eJU<qxeM#z
zF_n(&k^D{!+9&r&cd>WpN!C<YE7?r<#6<p#M{C70OtBOJ*qJ%VCbVZBqsDM^ec$oO
zat2nX^KG47pI6Do(2uT*RVq0pq8!)Qr1@T_bdVyk+xu_LN(k#u=;<PpH=o6*bxzxJ
zZ><JhJ?d#yb4GMbz__q(rCm=9{}+3U1ZOh=wT4j@i~gAkxr+xlTc#_I@enoK-2lM*
zZ4jo~C@3h@fCzZNh^)At|8-s3>9G@+WqWUW_1XO})+2{J4efadYjwD|{}f7>`lqY%
zSP>OAA>W!g#o#?uO6ugFwo`DdwSCR>;0)oJ9QY(|(YqiqZ@K@bW98&?o>qH@*6G*i
zm#WMOsUNS@SubqO9=<r%Sp3cw>r<hO;xV4|(2#iEPaA!-7=BbJdMy<@)DKO&2>=<Z
zq2;GL4H3)&cqCR34z*vr(b(81-0x9<EZ4*A!`Jpz;KGm1$Av7_0yW8zqa{;QQ|p3q
z{DkV-y1Kwb<i-hmhpc(jWf(m`?e_NeTnPZ`RNlcvpirm;xSFD3qqRwYK!eAKe!oXX
z-Nul;=J%z+-{B7gB94vBWv+qi8XNlo>W3cg2)HOz=%8=2%Nd@ymf>{fx{lgKzt9o<
zyNde4!b1GaXPE{QcE4$Hc}2zN0=d$$%4%;At*xy9K6}wphpZYK8I_-5VNn8{#S3R~
z=`0j#`<+Y7H&(YIq~}))GJP2An_C|zoTlzge~Di$BE!nQW+%;9?gAnCHx&LsN0b}#
z{AF7N?#tKQxM=&30;)q#5r?@6IIz9ezL2ezQ4+rqc+d>i3V!`fC40p1w5cAv^Eb>s
zihx&me@XqO+)3~;Ta7iQTCNsmSys^&VGDp^)_=1C{<$+t0<|~*`3sOG*v{`FZ;<7r
z2EvPwcFzAEyheBB<7#|X)7kz3ukWCbj~+)Z;C0Q+WM}(F-Y--+Ix4>iX4&)l`l>!E
zaIL&LD6U||GfZd?b;Ntz?aLhld(Y7uf~ea~Ov_(MDx+ICF6&1t$nMj1vvK<1cXeW`
zazSO@zv8+)A~#$h;v12<C+U?QMsCfd?-$OFyiv)*&sLGc71kuGXO`wd+W(4a=1N$r
zun|Gsf&W@v<x@SzYH2p-PztOM0<qroHs8#j{*QG)7e5cKPy$<nuXndJBO0jC3;g2q
z=g*x~?c#LtZV$?6ywgeaFjo#f$zTb=c=ymr@qSo|l8s{l^6{AUpEe*C`Dfjzisn(~
z_kq__T%GCan)fjoLoI=QIOCh_pZos(1w5_}g_3lLtWt$P{W9jn0+>rZ_}6jgK%lsc
zk-{vnp)&uiUkzsTH~zcmI~%Mkn`I|pC_S#RMphTv^LQxx-iBKin4XTh%lOGWB{7lo
z61m|6v-V4`X!I~;k7<@FKvux)R;7t?l3yc+y`=*y5F6kM+jb;gZgx&YIO*x?rm_Mv
z$SLJHESP&ENli93t&~F8gUk5}n;Vsr^tt^vh$0nVJ#B4FHT;}tQ>s2touF*le+R)i
z96N!E7{VRBIA(@kym+CzzYBbhA9l!z%~D@XRI~}2W?diyl)291J|BogDc9KBGaQRF
zthQY;B$F^in4crfneaQ(FjZg2P;DKZ(p#AEIl>UQnxQhH1I7R3I~)%S{b>NgAwWT0
zzb|yo|9+$h;{QK6Jk1QCY!RHUugOAXXLLP9T^rT|wQl*A#r$3b=W8JJ7muj(v=TRO
z+8eRqqI-RqYB&G!!Ph?+dD#A})qiu4zdHuML=>4bZ$$PPX9jSfKcDT%n(NC9I1PbB
zo&{(QOgs#2oE68>Jd{NF-udihCrZD;#m`P2*aOIz&hG~)WB3m~e(9E_JPFX^FAUZW
zzddr6l=hbWM^Hz)GrD}n80AiSgH?zY;}Lt8LtZER7YMjP&KrW3J?Ju0>vD>ZpJan*
z*N{SaB4R7+eQ0^W2lL=mTN4O+nF41hJ-rz5d>C7p_BQC7r$PJ+cf}V>6~!{SL4nnZ
z$9XwwhznmiOx;YBSx!&Qy;1i|5Lc5w0bymMU`cSv9{TqXKgeD7tJGuf-Js%91#9M?
zHrkzE61NPc-FE88RNUdgERd3D@CRJMjG^f#kF0l?8r5W4j!q}y;<npUIzCCPR?^(=
zMI;Cs*W05T`ZI27DTajh3|o`Ft^cGGMk1us3}0u?^G(?UPJ$LrUV`};^{4mJ<V3PB
zgP5@7)!&WBHp|WSHr!|;5RbW8MV4jXe2)`d)N{}=$&jlX3oZ}K3zxd*)TB*bDss@Y
zaqzpH7~R%G%1-1E{%KmySNJYg)+|+OhlUDrqUG%gZvlROjrcV^OSLQn0iMiLYf%tT
zR$g9yK_}zCiD1;S%K>T-B51-ND`s}9H%KY`7KJ%wL0Tg==(62ZU2h7=ee_s_1?+9^
zF1kjRO%KBwlIJsIwcpM2P0v@p<JQDX7sl^-sHOzgSEy3xgpWUed~s-1QI(z5^?q3A
z`oeIU3UbYzj^(>V)7AT*$4*+d>sz*8gq89<2N3M?lSsoU)Kb?r>1bF(2nfhOA~!DE
zFY>^TK|A8zttHa}`#nbDZnW#n`QTI1X9{cq|0+a~gw^K*>c2P$_nW@$GP18%t^93Y
zEpa}I5_AqJNnE=2Lv3@?RF>|mN1rFhPktBH{-JzB;g*baX7%vbi0RD-<oba(_l8Sp
zQ1a}6%{i+><pe$H!qIFf2y1#91Om<5B5WSoxw_w3-I5TMh);lEP9Lc-zjB5gfyjf_
zj{D#vZA9i+Emfeq_qD?jGg&l2RVR-es=Ijkp1%Hu1&CYu*`n$$5CQ>c<c|GL)kTix
zlyXc&T-M1R_H*y#ph$X*h01N&bwKU-qd0xk&puO{I%E!=e%E{PF&o$D%mPzFL%H7*
zrLgR&!|vLS7V?wSkmzWT9I5+_LR5GhigI(e^g#x&6l!d4KB@=YhYH3N9<Pzp=1abF
z@vml9H>a+RUm#laf(|ApCzk_6a}yTy#vNcBtKIBsUCf*^6hjigvOt+PIKrSU9wR!x
zVa=Y)%0y#Jrt{G6?O>_f%CIAP53miKFipO5yp<zwl;@-F&%H}V11u|+ZMRGt`lVc#
ze+nkqOEmJWPanoqKUf?>-tg6*-+Ry)!7R0ntbo@E0Y0q|k;oucFWh8gpP-TzSyog?
z)P}_X+?CI{bN072ZTd8h9orqj3o=XGojE;y=_jj?zOPU$)@#&04r(fK!Toz(J$}Tr
zZXDy{qma%8dChr{2&gP1%fP%)g?>u>3BCx5$Hmw9e1XH^$Mcc<{Dd?h_MP{d6@&0c
zkv_6LZ_{UL=ftC-9g7wANJLQhor@Yoelz>U=WxlH_M{#VX!H#XcxR%7etEj+YXWl%
z3<UQ8J^{;(le)e{CQq1j$b37DJ&Bzoj0o$g9l89IV{gvR%gMG6aDVWPqKkE4HQ|U?
zs=wBD2|NnYz7Y8$uyB-cwYJS;1PR|WxW>9uIFEuu^{P(<{#^@T@1TuggpS}Ube{@8
z25H8qq^9GCsH^jlaChI)MUXAX`C_q*i;9X8Q}zAkF+zZ!F|=n<y!e;X-p*DWbhmf4
z<}g6JX@k<uAQ-7GK=M6yYv&$hjX5m0{fZb(fppzIJFuV%yS`6BU081<=T+-{iSG1*
z@n9`Ck6VQPx>CD74-k#-*4N8jW}QS*1*uN4XtYoJHKFdzgm-z0SW%#nzjV<o%1^%_
zIiX-hGHADS^_N#&V!`+iC2#Gz=(eLDvoB}Ydt}F3B4W-QT8}w(+}*{+u?bZVU%PF8
z+t!}>9J;X&bGB7sO}2B1XHs?tzmrq6|EMp@3vt&~!+x>6O|W{wm|KDmY^`Z(Jjm$u
z^!0gozJQ1*VK|yyqT|YhoNqS$G`6=Yh_Yf60vAZWWG%faSky5$uh0ANVd4ZV231H_
zfEh;#iz#Jx^Fc4Oo)C;J`%qZum<81V$<R>Y=@fXj@~5trmaQR7mTCp#6h{HFUuApt
z-Zq1wbNjB&S7H7nbN3R2&?EaA45WyjgIy&Rol_!VCdp^;C6bsQ9ONxg)z~`WcQ?F2
zF~a!?EAf!5AYl@S&hQ?ByZL4F3&X<_VOOf0XL={{yAtgq3$JwaBxHpOlsXSq)=(wB
zsI)c;UrG{<&y?D@&$m1no8IG++7AUhWpkx)f;7<G9DvXnLBiYJ4{Q{Ybw)tBEm-6#
zu>K$|)w)`vew;;6+G^|96cIMWvcP6}eNVj`gsNnYb7d!T%ga485p86rqK_Y)c@p?e
zhPS|V4Gn!>AvZeZ&pQXIs<vS#CMJ}xCk-<(gyrZO7%*D-=%`?9Og>+=K0SS?q}5#r
zD!w!Il&(4U8=vQ9`eLBd*>6*Z3|;Q~^sbwu?$lhKBXX0iLn>EryUDCNK^c>86ZFrp
zSSK&lXEpU6{_4`s7S%=IMm=PuBs_!U3jwR<?-5qrbtki%>|4>_-|q$6-UU=up$Eqd
zWBSa<1p+VZdef6d!!J_YJ#Vo?;WA!gCw{U5JfS6hE=UE#qF-n-DB^^#d57GPwQMhF
zdvg_c1*WH`=jAk7x7&ID%7!6K?(Blko5aKnu>sizWJj9LyL*@1R(R1$Dx&pT#%5-9
z*Ni7ScGuy?R%`MU?AaE#SUtj0SUWB@$mZm=IZ*+%@^@-nb_Ygl=+vjdQ~k;1&$4F@
zum8-)P_3&Q5`r9UFwu96D$;cGTTig`!;EqtYpQ{G!B;9>+XX%Q6;Qd`+=nG4oSp<^
zB;c?mRW&s`y-%XNx=U3Hoe>FxY>cc|yBas}F8w>LWROJG+5BK#(BAj^erdY*J9hvE
zSE|m+W22Bxx4IIcmTDqBoll=WHSk+nGWJM0K!j=mk;2xbVN;pcG%uScV^p?{Mc7O)
z!nU@y;&={63Ja~56LP6)@T?7u{UA7e=l^imaily~Z+|5DUMs^A-_aQ2!d`n)3EY~|
z?DL`_L6tpa9Zg=`Hn!Gw>9RAx=z!$R{$vzyExzUA1z_|n5K+0H0;D=;rvB{wk*3KN
z{AW*NV)@svUn_W!Fn(gywIM3$F7gYgM0A|6$Pz{SZo|aHqutV?cWxNi7fj{kfky6i
z3buDwXb9?$BsJUW@1cY8ky!!-)}GDlwGAd6{t8#J=!@g0-~6;|G;Ais%xGYUT}dCw
znrHc7zTWICofJmn?hqh{baH#Se3$m(=22oD8FKY^;K2L4`hM*<CoKehsL%waZ-~_`
z5qdcE%c!79rSm5!sD;@90F8^)QV?Ed3zS9ZoZ}L(DE5(tb_J%r#-j%CY>hOO4t&N3
zpNe+?`$+=c>B3<xpZAmsgw{PT?yDr$pj4$!+ScNeFzQaokN!ZOYo4z}o1#1I`WtUF
z+XvbzpK|3mOuMP)GGsKe-Dx%=R(t1EXxQHB=brh!!0k4^)1O3UzkeiC%Yb0YL*>#(
z?Arb6bCO_A*S4E<>G9j!+oph^H802RsbMq$mew@s@7q|!S+&<`%I7J(|1lXr2E35W
z$ybg1k-`}O7QdQDMKn*=R^x!=5z(J7ik*uYy_#EFTf6(d4#y&7mg;Uw5`>L@`uOp_
zk-mO;zzE8tLUm4!H%{{r2gn0$hW;Z3wIEbQ`qvZ`P2a!7x-{x8jFWPnjk@}&d8-kw
zy>Ll)Wk3B}_drHyB`poLi+IR<I1&TLB6-R#r(-yk#*Y!f#2^e#Y6W8n2oQ2KMo*^l
z5JsW3nM--qqN<<b+}Bej-1goB`Y71d<6p7$$kal)GD-+APeploelyN)`uh5vaQAA!
zP=I10jxrNa4;9#DL{_(Kp97KNTf}NUG6&d_ipP_wV7X@hk=Y`r!hFYvVPqAyUeQKI
zyOa`|daDL<cv<=&b5FnK73qh#*OqJT3rFXE<qPi5JDP5`3U&loC0;ZhI-R6{QLI66
zkTMAlQ%k$UPDN8~iS@jMY&G(S?)EHq?%0=nwy-XTdv<nqqRNuPzu1h8jmd8j&9qXY
zK(x!%i{CCLFi$P{NmoD(N`Hk?(7;U0=%`?`vVEt_$DjLJlZLk4+4?fxbK+CUAq9u<
zX=`N?fn!;?jqCz^R8D-k&oS4-lu*dxPE-p8Jy<}~4C38>lqYR{$<z<?dKZY~%YNni
zbvnemLZE<MOmw~#^ZHDNsM()v=+p+naisUt;!({}*`(_f42V{~2=a~)@mA`y`pu7x
zW+mY_y-#81-ji@stb}?`k0qR=U-Uv<!J_Z-uBVLqTxCFBOd>HH244ahsVWVxY7<NM
zTOji*bJ<+e|3|J9$X>l}xK2S|7Kq;n&j013yz-^kfpi~fT)?fTvVIKWXK*v#$-az&
z3W2y3f~R4)%5SLposs~BY`$h~VXN_pZV@-o!Sp=s-<SodK=;LOJ2V?<|JURb$QEn;
z#+J>mt1HUpw%!QB$Obg#zwEpQ!w!P2u*K1ouE(vmMafK<E-%kd*_R8Gvo~*%i4wWu
zmU3X&5G6`(7=jjtIxq^Z{vZ!XRc^g|#*t~BCVWei7(o#0aH&mH&KnR;)``z!j~4o|
zKxLLsk)-^_vVl1Gq1N@h^E0n`Se8<a{B@^m{&@1Wy~)td2W@wLO5M$ns*?vVi`h6z
zZ{OLh%NQviDAzTS{|*@c-)AW@`wv)){}F=vO|2-sDbwyqe>;~_z2+&MH4)tXys>I~
zP3f4stJ!(WjD9H{KtCu15tQv7{^-7WN&yx4Fy!g<vRhXEnw*%3t<uE;oCd%C)UzL2
z;@lM3Kp>AAfMYc6mr=yLpc2`w2L(V~WXG5P??t9P=Rx3@YFDrui`+N{OW_$g6?Hd5
z;#+arKUe@7IRTD&X@LM+%TmCtkjp`aH#xh~E_q_R(Kbsma}1sMi%9Y$Y;+Wm&pD|h
z)|bl}ZZ4?Ljy{gmL32n>1^8QsA(r0tmx{Jo|H(xJKcVF0q`PjwU8CIrNgESD{&z*H
zyE8_gEpCC*M<?I(itK^{hZ@8@bQk1+el_hm<N=Qlm9a0_6&x4b#(`Q85Ij`zR2jKo
zUA8By;?~G+ymNaxO)&U5JT_3C{0xbjAJJzPzgsU|tDD!Agcwbi(K^oitgMbZcXUym
z!?p0LsjW<@R3TAaNaE8B$YFykcmWjYIhmS{NOjxvK0-ae{eB|-u@mrBwfKL7|9Ln+
zL$5O(@mJJ-m!H4zg~A4d+=K#V7dynIbTO7Do%EZ0hUsLhRgpfXikH}dp{tsWWO0U<
znGw|p*%d~*b%7O*zSWBC<ouG3HyTBL%!|M4PkzM4#@k1N0BJ7%-n{}_V(^Ag1z$oL
zre5tTmauh8;x4~)<kDNCeCp=e@U*nEGce;k<I%x9a(1H4Lua+!qTk3Gg05%+wY3f5
zjSr8jle(}(Lbc4vaB%=8Nh;csX@cg(4;vX^pbE@3ZtZ5jhtO;H5Wo@uIy+0&ROn9*
zRDIO!wR^unQH?ggZA`DJ=vO1Z7~yG4N@d?U<f%Iw_w(Wtz|Jo7R%)*607G0)5=+r@
zn|4W#FO@s5ZbT?qucnpu-!(j?cY0ty;EUnmThBQ%o4q{eHsT`mPG3_|HR^x!BimcW
zOYN%cyM1#>)c)B7<{6I9GUo|#ldHO*b_k;)vHMA6r@8QLYlNGJnO3xsHr<P+->U}M
zbbgp*#%QT_2Y&ngkJ5mOBGYQm7bpY5-g~j(#Riq_z^(u<h}(UbN|yHBIfj@hVbv(%
zKimWUtOY`5?^e#abYYGCfKF(w^AaL}=agN_1RYX+Fl2Q5xWwJA_VjmxU30(cm$1)^
z7BIsGo|j9q)Ik}HE7|nWVr^j=H20G8avOOq-KdsxSAVxILwP>QR5)Pw+t&*+zZpj0
zyEya55`LnV4B?O2EYm*%JW8zaD+jf~>0Q13t2G9k&9R88UC)9yYaj^vMlfx(FQ~nz
zJp%%!WKe3&2C9VPMNBb`gHr6aQ>_Ugsq>th4ewQG9+yF?w&IqU`uK07k2I0|Do;Kc
zhv*!}fpRg2bw}x}vJRckpb|B@OfQ;Xa08+AfK;!?Lq61!o^Zy&t}iqvT4(8jV4bM`
zeLg1t@#icNF~hDFb+xM_HG(e1lAEL6d~Y*4`d{pJFGi0esWM98aUK1Qwd%&J#yUIi
zj_)N}r`9~F6Rim&9$||yfBR)$a)12O2bQ{>g1>h2@!j3y0dqPTbK<V5kiffWffggb
zSHgEeLFxNFa-^`1-;!f{uNc#jg%Yd^h7eG}7uS*jXeK9+Rl#2&{MGM~qiXaBq=Z0G
z{nqM?CVWk&YxPWTU!Rp=gyfy7s;VFr-Z-v~>9<P1_S)U_B%7%5Abw>S61^e!c3rZD
z=$Yj)+4R`dkPS1@(`4`eLknZ{FXcYOeR9<`i}<pUwl;DzGEGLni%k2qe&|$>qRhAm
z0vo4U&7Y)J{@A|e*VB``yjVDeLeVk27HE4tsdntLq4uX5Y&NAd`o$v{q3lVWwMm?u
zS^X1sZ$rMZhB?f=6)%uS^(wh(hAT7VA6(mxWvAwHC92E0g(WuD=g?jh5+dG&Sx3zx
zAa{q~YPuIzPDI?cY>$HDDOxJ9OJcYDMagkCU0?5NYg28UbjhubY>-`FU$5rp=kI*I
z_HiC17hl%L>gEP)&}~YF?j%eARFdnfTn8nnVw4IE+X%#VYHDf`s8w_K)7Ly>$o&2D
z(9NFhen7yP*5!~h@SJ?im-`9$bo)rbOPzf=d{gt`jFRh7aS^BI2EDY+<h4mE__|4D
zOw(q_6g!~8{thV@_tU>@q_zYY<JQN>i@vkHE_C_&f0AwJu!gsc-T>5i$Ot&sb93$(
zcjGPkS>rNtgA5D|h;9S*Wuc(NR!jv|v%e7$am+y5=VI*JD=+|%D(>48PaLA2sVFOZ
za#c_;8XDI^Kkn?U@&f*s(xb?&=ZKcjMKKQEg!b6A_1M%N&Fg(w&X3vn&a;@wbTtE0
z{kei~evS`FtrLk-a1`QE(4~}e{rw!CLLG%K0W9}RWfc7MC6|?)$c*Avqzd-qu2M#$
z*PE_%fYRuiwPt97wLK_Q7s0tBg&*sbHywvg=)s#P_e8`^S8AKyQu5urDd~cQ?ceEc
z8PO4oNFPv8K2?S^;RZW^QVt%R82CMT_%GA1^FH{_KgHnlR7J&D{8bpJgds%IM-C2^
zKJ~hr4P3@=0_4$GXK|C$G0hq9wdV-}2BIA)VnQ|rwOy=k^Pnh6R8?C~uMd!gPW3m=
zyb93AXwv#=uTFPJeeC_#UH+Q@c^NDg3YJqQ=lsWn4os*q&SN$HV#1+FZGEHBq+U=K
zrpJ1X-*Y3UeuicGl0{@)X_mTNiiAdw!Yv-@JTAxidrCudFHVty3}R>AMmA&P*UH9_
zGAICXOr?Y;z1W-ccT90+DPm4|v67qkVRNA>JxWfTWzlA@QA}2ECFMy}g_Qq_TtqO7
zEXzW~O{-Oz$q&|vCgV)Y6Rba2oy=Dn@(K@%%q2%!DXH?uf<Ci_Et;}QGA0m1v1}SV
zfbXT?NCosNsDw9cx|l?%IF~<v9+vTXZDfxe1;~(mh?&f5iOH4CO!(fJsJn^E+JS+4
zk6=`m?W(m7XMV$BuUg^hhx8Xf&BoNHqZf8TX(0$_KG{Zq;<WU*h(5kiy>v_W{@#m<
z<z<BZp&$P8IK!=5re<uI*tO^x=Z>3y!U9I*U$wrIVNuA9{rN2-O_-g|KTFr|{<Cyl
zDY@vMG|2V%Q1Q*>D=TcLT_XcMnhpi{xV{H;{!dn06ZC9}i_i9GPU0tjfBdZgSv@vP
z*W+jdL#@K6cau{mX9ePpuMgN}9gF-b@yEf9&9asXcnb&!yedG7DG%v@G{X!?6h|(C
zvkpB#L%a;_gIG_{230$ce?8omC=?_FQtw_K9wQC~waS=m0A#t!n{>rFI-{B=RSS@>
z-UylRnGrW~b#j)5>jJ6)2f_ghibnuaC3O*3kufRWX*nom`KT@bX{y2-lS((c6|JNj
zqr%(6D~BmBnk6@l2hqT1Ix4S5F-kV@3;c;Qf@6gr8!Q{y?}q`;R>wj)^@QvI1@qtb
z_7_Hc{7pU5_E-9=#B5Pn!B=h<2bbtFxtDoRQ5h?iiHI>nFLGDzOJ0hWd(8URRM;t2
zMVGT;cXA@5&(B%Bz)X7<e=qaMy~LAW(o&aQ5|1hC=x`;HNX=CtB9FRYj!wUPWzWsH
zICgHO6G?uKIw$eF_^zYlv|}G{zhA!38+WwI#8K(UxSPD{`+MRcRQf-sU8`ONJK)M4
zaJjNea2{33;Nu}eARVz_Zf>42RA$?=g^mVS-d*Qca43xOuc<1WZTYU&>0JS|#qC}Y
z<n0Vsxs9Gu>`p>Q$)EE+QCS9Pn0G)~WqU{0kw|1|$SPp1F3<ND5f^-9Q#t}~K3i_Q
z6d@{d^Cpto>BI$&a^Lm2f`%%I->pMoryA~D?Pdb5-kN^u=>-31-YeW|Q0<4OTQkrU
z14p4Ij-lZv4#q<3@S$)l;m^1bCDv$xgEp*MgAEQIX^p2U`ttxZ;WCZc!2|p{v^570
z=w_er=J|6wSMBVw%AecXN!S0;@O7*IZTLXO|5HTq>C*b4-$R~jn{u0xxtaUJ#WHv1
zLR4>bx$R#j=5w~nY+(n>UY&2w<+`bMF<Nk48WEc;dG(og*DcKEqj1{)e6J*bW;CQY
zfuDq)oQ$)I-DlApV-oK!WOM}u^?lNd*?2<HCe+j$V_As5<g;sZ-p49=(=>wI21~4r
zec3I$KPZ;oJ~B#wA@ztfwMlBn<DfocoEq;c@0ccf;fW~O`J&k6KZCI~NqH^c4N8qR
zlR+#KmU+pDnuAe|h5^#4p3@W4+uu)Is{<imR!VYm$%SX;FPNffvZ=!$EI(Jblx`%o
zQ`JTmE4{zBY5)FSWidD|<~61})(Q-04CzTVD5O#uLot0dIN^1m4)oY($Gusu+`q=1
zpfW<caQsTg%qkt_9OnoIqn*?>W38m+uGnR7WNh3;twFtX_4F}1>(W8p(~38OiBva&
z*@HilZxY<Mubh|hS{imLFt4w>k<x)b?$7;fxi+2ZSGIaeC*4~Kw`rbCm#zb4Y|1%m
z@Zmjh9&PeBUw1q%&7pn(1PD1iR)n4ageMCQkexYzR28K9KC`-N08RuReOFvud{`U=
z$2H8}_PlXPDIJf+JlW?s(Juh6e7nLj2qIXsyMZH}7d(24H_pf7$oRyi2z<?>7I?H4
z%Hd#*Cx1LM`eJNgAa-<9DcE0jKSrK)HaW$qZp&gq4^=;Z%&Yn+x<8`m2F*INq84O!
zVIlH7Lky5Un_@RJB^k-MefPk~gdaV#T#iK6mT&$l#-BrA!}_W3Xt^sm@g0Bum9sIi
zc|#mYC7$gk@q+1VH#!>3{t2y(o!z$gk@0s-UnN3o=?+FTcfDIhghO|@$OKRUdZ47t
z=fX2h>S`MH5FT*Saw}uWiuuE(WIcbMAScf39)k7lBako;Ie;lvG9w})f*kDZB-tyk
z#I<l7N@ck%UIfy?pTWV`+7K@0W6z%p7!(f2{#2(VrSh4+%EC4zUXzV049;!!6wwdg
z8)`%@RS_4E_WgmEbN32yD_?~x%AHg{N##DmOIcOa*LyDxRY3d9_v-6VN{WKrTtS$(
zZ3gOtGA$Wr#mb%Jyw{_z!aVpA+DG-&rN%!X?Q@`gqm1Qyi^w1Wciz4<-Rl_z1H|Jq
zMW#5}H<sDjxz^JiDWryC4js%uiVYR<MDV4Ea!{`}%zE3~vcio>jrUmX5ZiYF>1^Wt
z`oI9|;>CC->I=`Xc**=vpXS=9T!l79tk&oHx_WziIT%dRTOQTXNdKkSJvjJegFhIE
zBQHb`Oxc9y&dr-Qt?z2BDO&J;Mgck{HA^*7lyOzIEBeFi_XlQD(s7@f+{JCn$_$9I
zQV}0s!RLqxgz$|F!zcqXLZB=1gU#5B(D)3IvovN2)&6}yW#BtW#hR$=xrGS$5TBmQ
z!_$g<ynUkrm;}~kJL$LaD&|bF!$h4>cQFgJK$P1lexKQ6whBiwUVWG)J-<Evxyo%u
zwlZ*cySF!2Cq^x&hhFP6r;e%VZVbAj+WeHFR?$B72&i9NKUeo891n_Um+0^#tKRDB
z>a=f1@%TC+c?X9@xiBU{<(wX;ArKIs0u;?UCnqNfymvgYv2iA392jmh^|D}6ZegDi
z$nYcqr_G|Df1m0e#F28??dXN!<EaY5V^JSw!zYg6L&>vlMH6jg+8be@Zh}x{vXqGC
z!{!^7`hW#szVJ*n^OB?&uv{^aD`qvDAEu|Lj{_4RN4;b5k(8v7GupzsKd9lenSL1^
zYAKN|!uBb{e|8(x!gnLKaX*G!&%7RJ_R7*W#9@EE@7G8#7tG!JR9?HRWX7KcO~{gZ
zhqe5>7NGUb)tIavLIqFXC_T;?PqlMBcMqXmCEWjO%1aHm`wOw{_l}!%YOEHv&X>^I
z@O=0}n1Ke@e9X0~9n)k8uP!>JYliFN$Bz*2lK1b&pQq1MIF4*vczE1IQ^_BC*4f$V
z*FzBb#=}vESxvqa5zUVs8@cvY;-_m>TS#@u;6fh+5LJUL%1T;g#d#f+*ywsvdz#ki
z+O!9UYMQx%c5W!tK1QUswkNgzY_XKdkFV5K@>|-RjNx+hiBFW+7|N@N-p%=p_$kxf
zT`tj5&)$Wtl_8qbCsbd0<_`}NimqCk>o_%c^gCOH(d`HJCH0!SS7wMhY>b7A{+>PS
zL`hpe;IeFY&UTDm$bpcli`XpKZ{!&i1=4!64g`I9diaKKdWLMkcHS!?uEW%55UZU#
zWE8yBNSC>YxOd6_-1!6*D>}CN?Cfcqv36a44?BbX-6Izc1x3aF*%Q4v2pYV|@`JHJ
z3%VaCq-D{f*&i-R(w$G!F!#g2_&AT;0cbi`@zohlph_hVQ=B}JPBu2*fziJJDx@3t
z1&zvV&d39jFdlf2B5?b}^75~#Hm5nKVX$vtTBol9hgJbfU|EQMVEY8o9D9EIfkuCE
z<0}>e>LSf7?NB4;D+g}vq003!bt*B40d*L3!07{s{z|n@n}U9i0tXVS#;XHtWGl<D
z=hea7!5&}>OUXPa0jgiZ^pzg11vIHxjrWvm)o?V^*O}lqx8FNc)8v2em~v&IqC~bE
zi%ZRkR}3*!CP(~pv$G%X1IN(&+xvLByStktj1{Q<aX)O<@Dtu$kZERfa|p)?wZptr
z3A;}$uY%}P5EzI%WBu~cm4_NYx)>bOce@Sho9f7i!Ku?NpvHB45g%@Zu!l%5vpU=Q
z`H^n{d*lDHo(j~gThq+sXy@u+i_G^+sAqsl%DeDP=&n}T``p}IW^c<Q<DdKT44l+|
zMjyD{C{>v3qs9D*Jq5JT$ptT6(ET3mrh3=p;1gn&`~3X;adcm!!$->zx?R~b=YL1U
zV-fE+uKpIK2!sDKah56u@q%w|T0Tk3qf)TKu>b{^Acv;`e?nW^9o17o7^#-Vm&vTW
zJ0uM_6)~<c!0+#`VchF6-;(;eRAgeWi@qVg4>D7D{RmC&nFuU8M2`Qxb1<8vQxm`5
z5V^AUbkvsh(vPyXk(@7CMs1Kf1%+CINo2Gey6Wi0LC6A|Q-Fv29d{OAR<bz0eDxjo
zm%W3D!bYG~Pf7FWE%e>7JhbP#zcxi(25|knzbAqSU*!IF)1ZhjHGH_yZB#H&CQUpP
zl_(yx&Alu<5$3S&uDmitJYBzMu`<7eGpsd9q&)+vKXi`HD5N^Lh^myfGBJI1gnpCS
zneGRze^y4hAGJB{IqGsM`;eaP%8Kzwu~a|yPCr(vu#^25Qz~gaj+xkr%Hy*#i5#8x
zcLRv-Nm{9GP9X*8<7lT~O^6P;$`Ly1XUW^bTr<Pe-!!Xz^bxH~8V~0mUE(bl3FtRj
zluYDhkSAKrSj%&o4$IQE)BPIhR9r|k=x*zmX{a(p@1LZLAK}y*mSx<b`TQu@4@N_#
zAyM^gv)23JXd)c=yrksnD@P91#EI*2w0JjERgBk!IdL<{`AL4R3}C9H7k`sRv=z5p
zC)LtiW4zzdNfbaIZCp%g6s;h+E-KfNn$*B*^2Cc5yn(`|#x40Ws*v(_Zj`|H&YcGW
z^z14!^e{LtJRpP~o$xIK8btf{Pz~dz)0p^JCOW3t)J@LCX0r=?vCq5`F;KUlQIm{h
zt4t7Is0sCEw!Z1i>wI>Z>s#Ivr`epM-4Hn{1E!+r0JbB$Wg`$1jh&XwnPC12$S=0B
ztLR@7{SBN>l_b$#((8vAi4b~p=(h`w=NZyxPVS%G<y_WzSBUdyIGZOIMl~N%w4b<{
z&LtS_BEDQYAuW26ZXsoR)>{0xw1X>Tztllt81aprpSCxG4dQ*zVO}0GyR?293QM+_
z3l^f<$1dJycY*jqT$VjA)P_AV6%aU16X_!1GT?J++4Ef~uBrgd__CqaJ~)Ghyxuc&
zxltk@Fj%;H$V_EtWnWNY;uo!3NOg$UUqz9-J=dDq3AOYaGKXyV9c3J7uryBm(H{Jt
z8C_UMM(#DubqPg~<*4~KW{E;*;}E~#ex`c4oVD&QAo{zeAglamV<WoZd<?hzR`VwI
z<UIv7ubsXT-1DkP?n@_?jTiklfhQy?Gb#CueNpt*m$F*A`$qn|j13ExB1;ZXl-=0v
znx~#33v}(5>-J99hBYoWx<U9(^$#p|*aQ)yUjB_`TffkM3o&s*1(gMo9&GGyI~Ea_
za!k+fRm!1bcgw1iyc_2%hLwry9@RS~l|^T#y<wv`3teg?TCZm9Uda-ps#Na4(!0N+
zdlI=(wR@^^i>Ur%vXwESnY*=O7h!K~UjNzFciTdDQ|Ie0dQ|%K+oNh7FE8oHY-qWR
zu8$QNtoMwjDX@|YsXFD1hKY(hC-U*<ru#-IJ;`ry3wD1VJwLSJ|I$dC;nEUU*1k65
zh{B3NH@N|Om+a?s=dRn2+;6!gwF#%!Io`P+OaAmHa=P|;GHfnAPM!1T&D{XWz)NTE
zn=^v{N@OdfNp%~)eTu4{hrx?T-O0<4Q2}<6=ZGqe3q8IY!+f7HE83~Id8K;~&mP--
z#G6D_$LRkqX0`vX{V$?1UkCmec#N~O_OKk?LdV$czP%Gu+x_&;f%-1{906fbyHO<N
ziut(8iaic$4kP~n5upOsrGgO~-~7s;n=bc941VBh9hXjJN@i-o-Rbd}FGpY2eKmb~
z{ES?us^Wp^MijqZnlUj550yD<VjBYGRM;1=m%Be)bnfv!3~wAnyilV%H2z?l!OQwu
zWmq1)h<?x#VFOi9*Hnwd&F`rQFO&fPlfxubUkEL9C}tWc5WgF-$+&c9EO0_D6&XL<
z;`(PA$@kI)mKYavI&R39Z*Dh3>#w<<pCP&IFqs*tRXutez~|x=>cdE7c4>(bL0ljj
zAC2nE;0uw8D5_T_PO<QZaGf?ULJ;MB6W{z4n<JpleRCRqV!`a<5Or_ZD0q}fNTNPm
zd|8J3%gVui#=93->`IN%ucd_t#EUoh3N0&5oTSk~r4>N~@w!((r^XgsTXd9I4hj~c
zsrF)@A3<MjEE0nRv3_CYvU)@k9Uv_W$rpO>8GK`udKH1YGRE>v;7t+Hx-gW}{(KG#
ziH|8UDy`2!Fzlp|e!x|itrtP8)2uv+kI;TbE<v<Eu$t8jW9<|3j2k@~e*~cNH4R<c
z*kAEifAQj>p^#D(5_f{b?8(0V#Cdl*p{o{8_{`3tQpJy`w_2icA*;bN)lnWY_tb0N
zxl(cGrAcA@*cbc;7;1_(x1kf7+bj_{OLTScWW*|=&7zs@`^dKtPrA<^#RL0I_F7eM
zJ{`U5PqexW9GgSquFP(Egv`C+dY*p@=k&`AI*)Td?r=QG4mT*+Fv;D9uC#Xhpo6GM
zf6+za!WEh`sDc<56h;}P*`vc=8dL}7iH9*v=v8wGcFKhRqT;TqcwZA{|I*<59^dC&
zZy|Mb721AQZkTiKK8>MHO-2xvBa|WB3sO%bt5{>_Gs#3A&eDYr81$#$`cDy1^V|I|
zS`RfR{?;IEpKX}Sd`Dwrft-(TQSs0S!x(#`!}-G#F~ogOCI>&Zc7Jk7xcJMRL@f>{
zC`mM)v`jToaw<R~Em7rC<fHt(Ixp0d3k;ofpLTIN+M|A%{J`ItuFEs9-NEhpnQ;FJ
z*I;ZPpfvdX%S%Dx^7VhMfNC`JfB8lr-2Q&*k$k%7h3=q3?X>z-IZXX{R-3J|KUxmW
zWrShJ0;ujE*?F-E^Y%K~zvlh9QZ7D?W|SoCe9P*f6KyWI$(Q5KG|q>dl`8fadCaPC
zH?gMZ`EY|@2PEC8zQ%7EzWYyd`9Azg_<0O3NP;+>4}3i|A50Touf=tEiS``VbK!$%
z!}jahsNjmWxJLCqdk8La3@+Gx{_h!a|33)97djuttw#!_YGWo9T(;5b2g8QR(DS{P
zp$7*bWhvi0_y;T4a4j{M)U#$b^uB2FpmBs2<(^!ax5+<xGjaK^=t*7RvH3z8GY8BL
z9_;OKwp-qqa(#F5{&khbKZ6(P<RIl`ETk3X57qasvMNg+TdWTnJ?oX|drn&uMq8s`
z<#XisL=fSEGKA3Fdz)stIl`}*yibdN>|K5B%dhu6nHnQscxUn;($yXm&_nw@atSgB
zZ~C)y;D{12_(^&>f=hsv%l?h?Yd7%k(Zdt{^xUlG2P5Mxi#=3hy{!Eax4LOD%xEI|
z^uRzsZEv%~(0;N~iQb!cD<-#O3y-27k1>qtzq|IYkC2Hnb#>3Y6^U8gvpRnZMw$Dl
zw;$>$UR6~2;MUz+c4NGu8?do`=)eJhh30aBd6HO2TK@=C;oFqJv~41g_;+9mhpt}$
zYD$M@7+d|9_><8PN6o>obJXUr-~|T%gAD=8JP#h8muK6galYkJ{a59w0fuL?g;HW)
zBn}2rjWVFgpgu!gL{&~*K`jt`W!XlkUz(xj<Uo|SOV%MM`*J#s?uNLhyUTpc-=3K_
zB8En8$>quQ<@AY-01Mt9!<p)bg}U&FJ2ZIJmj-|H%f3~+K9`4gPdi^-Hd&ds8(T*!
zH3u5;TZ2iiAKf?@VU!r(Y0^H!&d25|mf%qqG20*7S?R$CuJYD`{;<;(!WEH15Jgv9
z>BV9Nk6!RE%iwJWB%Iv3^!<NBInLYs-zdlBA4>;HX7w(&QjXE)kY~KJAR8a=@G<=D
z_pf;cl}F~!+<xh6rek1`=m@~s3#P!cx5XLW9^;@kc@1!P$D`|XYc-F@zdrXnee8Mt
znPbn{!2w!NI*r4H`2_{L-d*LOXrk~?;qeRpjn03_dfVY`?$5N|+&`#AAg@BiXnIt|
zg%XOpO}<Dmi@)8>4f<;(qMt5gF;jf{oqD>o4~ar!(DnebZ9V@|#2*6kIAD3UoB=Dc
z#`HBYq>EY%QX2BZLtQdWR^Zv|bSbZ;ia82?s!dXxX20-^*w^2`U*>%xSUp8Fjqw`b
z)l}g%N`EZEqBgbjN$2a!`!87zr4KFc6omv)FL9D{b4{X}j^P7>?O%otOTDZYHlV4X
z!3Afb12eBJy)Hu{nQ0xF6Cc0)Fnbd4h;l)oN`aB;J)kIgQaaLUcFu~6#I>|9x)7v-
z=|@6M#u(9MIH&r6m_iybqP`2yUS(eL-KS6ucij*4W2lcg*go7~MT0K-P$wjiu7;(O
z&fB=<aZX8`JKFE`@}cFBz@gL=(hTh|?*%OvK$LNvXomz+4mhaGXwZ$>H})rmY)5>!
z1abHDyu19+yGA79g8-$HLc@9JkG>79JJ2mr2Wr&ZUoM+iF^_+8mtP9(L!IE!ll>(D
zr|&E8JVNWbq)??E8D>O;Akk%qnz`UiU%LRITndK$T#eUFL0!Eg>=n}4&-beQX+^O$
ztR`TXGdF(?oXZh~Gy`6`e)C)yQ#7q-d(sW-8}d3jJ<SS7=$<omo?QWmgtDV^hj%qy
z_U$Hq<zRy0`CkCyp>r{OQ2}v~>8ya%Q<*85d>Xs@t*vXH`-{X0MG|ubG2+9lY0Cd$
z@4chpeA{+mEl5$45F$#7E{GPLG-TB1(IvXkdmBWgYB7jTqDHjn-4F>u5N&j$i!w$Z
zjN!W`<@deMv)8xR_wK#_+s~|(6)7`w-`9PW^E}SuJdT@=2OWS#KUofnNH(?V_cTTG
z_co6vrGRc;Pbe)B^-5rUX6CFCDES|c4h(qQbTQzJk))Im40SODs!)#risDZy&x_nv
z+kW*5l&Da&cO+!m<tR3XB6oj&;1gi&yppZC@tODq|HG=a&g7V747QLzrnrad<9JoM
zinPUnDb;bMlgZ=k&?A`2mQ&A*0IdlKM~Oc#Yzjymp2H=&nkf}+E<5)8f<3uZ(_DMM
zt{`Do0IWK>ySj~&a{C38*2LlDH=cQ}d~V`D?}-A+cTudfLSn*o-u{j}8dS<~V&|cA
zn<75G)ng_UAPZw#zuhV^rIxMb4Iq*8IjV`9i(oAfWFF#x;zjZ4D~H^n>u*8bc;$(>
zW`MaNor3lq%1~NE|CM4;+7yZJyj_21Ux5H6<p6ZZWoi@D8d#=Yalh{Fwl32r*3r>1
zrYbP3ahqql4A@YTBCj(9&&kI+c>)w#QYBu%k+oa)IjuGA3$z92>x>d+btc(79gdSn
zc*wr@-PwD*(_9CNngi(GEG=I!?-WAhMf#4u|B#4&ox$@ZeO)z2{;=--#+BC@6BJHy
zdkG@sPT4|U!W+3?^+{;X#@kZfqIV%%k9k}t1~Ak&ARw-LEsqj;SxG~Ob%wYc-nMga
zIMl-yUt(e!ePRT--T@Bo?pvf+LJ^&o!ewP6s|`(I%}#X3@J(Sb7ABbK%Ctp*b-K#0
zucfs??d^q|4nbcuj2Lh%jwM4~ZiD{1{<r)_1TIn$=I77qV!%nVzI(T&^MEDP?EH}P
zMG?&_>DG(6a>`bDrH*YeU($u|e?i^}yt(d8fE|@pt{h97KRjL^PTr-x0C%yy4vOOs
zhN%nge?+{!6KFOw>aS%0<(YHlYR*MqD4$t8!N)9X@W$Oad{Ee3!YmTH{^en0?(GrM
z>a6M=tMeNq%61RHJ@<cwJ)(82L#}S?ZB??r1>lvYwzj(goq`$76=ui=1DyMH8h6o@
zY<1Pj9ZG+Cvq|v;S5OejS#+y0BT0W)X5F;_)bVsfX$1hNJ8sqaR+i)wDDZ?OB_|8o
zIy&Mh*Pp(h>;w}{UVH$mxSaPrB~LZYp((#qykfs32hfRvZsZ+BHta6DzdGZiOQ-=H
z>i58$yNbaI7|xdWCjtO?4f@&Ve#p^xiG|vH4Ny6?XRa=B9P2?euFp9Gz`tbZXjSSe
z_<x8X=b)KuLx{zeF%?;wxbe6z^J)wv7?Q}VM>;+tE+Q^epJI>XSp?DS?Jo)@w8q&)
zUsjsPr#LTF4Kk`^YdxDe`r1R}>E-2x@7${Ms{>Om^R=M(8S8Lk0dGkc{hP@ROy(W2
zJUEgiP*wJ-FetTzP`KF8DLAujs{KC5?eycgsNDofBDqX^lgUj_0L+5}_M#3)eD(+Q
zqNbWL*z8O+_Holhc*Q1fe`9U8uW{w+<dj#&Cp-f{4V>nj{AH)Wjb>YE9=cQM6!){W
zMxL~O01JajLL^Q(wWBGH;x1+L<G%sTK`cmIIDSz7TLjGT`skzu;oMakL?Vw+09Wlw
z5_dK|0T5IZKX6RG0Q8?@CLbyn=bOnep()3Ihg$VEYI#68-7G5OC*#yKpfaEaP{Ux!
z$7Fyq)Ex<D(AyE^&5|w#MWTZ5ynm3;@96+q7~`5&K=u8d-ibefUs3|tTyZ3>_%|q`
zHewKZ&%*wO-o(l0nS*Wtj8=F(mG-kYpj5P53eUMoYUMHHR^)+dN$U1P6Ck1EX#hY?
zHBjjQ=XzUh5uZI66|U|2oLulc&VC|r2~cZ+0qt-O7H~M+nNk5Y7nQ~C)Ukk0{;Cw3
z)t_LI+0S|ZhAY|a>XqG22sTkQo&EAPqwYXH)@R;n=%F`pF_&q(bPhn_yPAxGF{CuK
z#a9F6UT27D(xpoJZqAX$3z!^~a)pYEiq3)0#-)M1i_D3=D1P%_;8)jwgI~F<t;<G=
zpVKxnD)c@Fd!OD^#Ffw%y<*b_&oAPCuV@@xk#oF%usE&!eY9uOlP~iZSqZ5G2G^&_
z0Io>Ud^VWh|3h)HAdx;p)fKQG)kp2g{&Y9x(<`VZseb$c_IIqS6|YU9H!WRb{v;3)
zAz3P-e}mlCZx6}p^Msg`{sg_8vAw5EQL4royF4=#@cAd!Q(R5GnW8y=-mAt9p{Un>
zVn!-XoKCj8;^kyEWzod;1Vz$+p4I4|k6>pjeM{~%l}%q8(IgnG^n{3+GJsa%q6F(6
z%ld_PBL76TeWB4Hb`G3z5mz$Km==`nKEAj|f8)|HW&K$Rsy*Kj_dfto*2!z_=cvNM
zaQ%eCX99N1WMfC3T>>C-zrGS&6hN1aT!ZkJM~l#|5x@VM^W7bVF^&F5%cWX97MJ&5
z0#%aBJDecaHZW)Uar0#*%S6%d5=0+a#iL#>!{E1CJ$HHa0qpeiV>a&f?edAj>SN5`
zlop<Kk^>~6DDtBddonJQM2^QNzmcNuy9E5cgt)}ql?648-pa8iewF-Nx`FA>caoK5
zY4UQxSbrx!x^J8_o!=D6>c~l&PTEaQO_6k-`A<S)#YsOZe?cJ+6X(ZD3hCeAc6k7x
z(jBmTah{i{4vF`IzM`>BX2C?v#NYWUO-`i@YM3o@N(lb`VhB?_*r<DmdHtECi>h}#
zI*4HZut)lcz&{CIF>U^v@iCG9OJEOSy7h73{GTyqr}`&(V2{gVR}tM7rI%n#IC-y0
zyXk4ut|s%}jfFG(zXDstHl$sdH!A-=2}Ve~t;8vxkj561;Fu?EPb5!9{h82^^B{o0
z&`nj{;#lYY^b1uwmGEDKxxWb@80TQDhdIp@wfW6Yr-o03&LBw+$$eN{&bv<eD~9~d
z9s5Gz{{u3^`Cq35dA&2=8s_4?F^bo?s(+a*<n>E4jW=FazOOD;{rdpz^sy2@CN2Cg
z?1`;k`Q9md4~$e59hQPB1AQd>XQIG4Lr%@mR^ckS)>)_Qr*4{S{R)7=gOdM>r=j>M
zPSQ9w%k=xX*j-IjPl-{uMen-bpZnxma2X+sNCbEV->dl8^nXPq<Q>plCnNtn(73QQ
zEA_D_@}z8hfq1NiJWE{uYciZ40j40ApstSDyR_3hbM(NAIsirCp#Jyr^HL@Z#@Qb9
z8GI-Jc^JbK`Ha<^x5vuygPFKG6N`xx^=UpFe+Wof!_i;yg&e8RI+WpjK6T@y^-uP0
z+ZU5kvkUaBbGwLd#E|?+{J!>m@io+!?C(^TVEA?IVXx8;u+L_OG%kq$nSIjGD+17@
ztJFSqDO3gA?cq9a;n#cDeWwn|aDTR&)_l>8$L(v=YsJ2H^u?mwU|jztf1d62m|^BW
zu}W=BR?qNIWwWQNPXYjfoq}PwhV!d`CLL4Msjo01Q=;W3`N5e_L{vn%;@*R?WFwM(
zsUr4gD`QIPA!7L=ITm}aN5Sf9d$2bs_P9u`TbbL3{M`y?O-^sjwA(ew$N32Go~J*#
zyW=^N@dHpZxShmFyh+Ah#V2DI#>p1{z%g-UY(!=xM^t-P)&uNvGfhmu1eW}wakR4b
za|X%wm&L_{q)s_;D85cV)t{Xj>E#J-FrK#fFKug}4o}{@kTk<d#ohj=ir}Yd3(dv9
zSNi5yA6Mzm_U>_dgU?sV<2MieH+>DAYvaZXy?@j!*=4lH<R!r<wWH*dwkQ1~>w|s`
zxgrEk$ni605`!8%7D?Y1m#($gvXLYU9t%pPI|MF0@TVxe<P1pFh4nKc>F;KAMU+I@
ze!nveywNUR-*+lMVG}8-Dzz=<u)h>^*T&{CS~}e!XRF<slO>Q*M7`@xlGL*|f<Ii3
zpE}fRG8yVkG_i)s%Vg~T8fZ~NMW%H<63mIoldCkMq$|OLx5g-OZ`siyQfZ@Kw&L*#
zvOTynkH);f`))0s*U+pvR?Qh|eDNA@nz)zXAFym8*chqBLvAQ29lQIi(u*huVI!Ak
zr#%bh?NgOHyuoW)BmPKf<>lfv$f#K8ohOxJn2a3_HIJLlR~v@XRAtv3bsDBU@8u12
zJHF72wBg2sV~)d$ofva{N^!=#s;-AbgS3r^Ch}bnq_2pZjGNB3Zl1c*1ab7W1x+L0
zv49bHR4kZw*Isc)1-<2)*0>IRx)xY0n5tsGIY-7dj_5GJomcy4i5o>}!#Y0utloJe
z_X2bj{`LrXvipKHd&{}!0sbgSC^?MXZaXxRI_<bOPC9OGDZu``QL#a*Q%wE`sl!jH
zqcj!FJr8hTTT||EA)P!m)w6myfLL%c!;m_V?VcEYAuA2(6M*7I<v-!Ldd&Nv)MW4Q
zjTFOf^I~&OjS+bm8K=e8XLn9oOGxx)DeoS}myP&M@TL_Ww}!Q8_ve<3QE22WQx)?~
zud+iRb~RpB#_+{YPxIugt}IPh({B2XviT%@u<z^qx9eb<xlu(_PxJ7^+!MNWr^}~T
zi3f<~+4e;_AazMg7^9}FyQcV=p%`lU@Yi^3CYYw))IR+{KYa8VN5b?JeP!jFpo5Xr
z$Y(5t9y0jrx>s(|#o1cJMdczqYtla>FSu1rK>T|2KaDBL?>(*w{g4szafo$vMeHsw
zRwSHIa)k?z2V=`;jx4@Ba*8MUM84<$j#z>PEGDM-TD>(d{Th^<hs;jZx$o9{n>{j}
z3!Q=A=fqjRvZfz!6K2Va0@-a!!NY9?j|}43#oUJCf&SR64Xf}@e7XGk4cZ|iwg|)O
z%n1ZLL@Vg|rS-;&YD7`g7GD@noTd!S2!W!i<0n+xrG1_Z#m!@W{e?t22*mRbSC2{<
zb+ZyZhMQF-k8HgPP`7s4Pru^SjT}i~x65G6cau-;+K`viWBw#xGqz@la}HD*E_vFa
z&(>7#&8qY@-<rA(Q}PoW=y~!jR6cdA1(k(STZLcpeX$p<kKtJxmJCJBMz$lS0Xv&6
z2VZIH%FYAYACIer?pp3A7zOQd=450AB51>BY$7Ndy@n8;y_+k%|DnZugfL<UBIChT
zE5{)?K7~Qu7=5^CG<rtNhmR&nVXabnq%uIPU&D`~Hx`JG|Je98>tKd>V(UiV8(U(e
zc^z`T{b3yL6{kM&53jM*`kD0Z46xf=CX-6DweE~6&Y4fLQVpDNV6^sq*1Pui@;M+(
zB48pbuI<*%2m;bl`q7L&5t!09yrj#VhS6LIpecx$t}1t`k3&XOH9D*=V{J@#-&DNs
zR)P=ImGEL?0>82n=?EI$`pSnDpk~$dZ8}m7>XEjyI~03X$e-nfa<mn{p-5P`J2qLw
z&h)V288xa5s#`e9#T!=%Y!4%+n)w{s&nv_r&dmxOg%Ry}P(Gqwr*i=i+R*}F7*%e2
zb!8}oSwEv~ymUw6tPfeWL~_^B$Er#Y>#H@T2NNh))6u9z_K0iGK6iG?c)(cvc#dy`
z?h;m#3`S&iuO+>G;(%eZM@~u9N;rmE?xo$<r21DtWDk&oXGLGSU6bBHYDSOv>3G6%
zgKgtZ&~cmA%n^rO{mOTDH9sx;yLpR3Z$$Uu)(^GJz<#)J&bGf(zBekBaOE*qLdE+u
zBwqpgiHEkf_B9u+s+Qm6$Dr?)!b(<UBW<;2Wq=zld+OO|v%8dLqktVkLD0!3b^<)8
z)XCxDy_hve04f-djE@JHP)_rKnEu9iT)9gAco0HPMc})Hm<X>$w*;QfIwi2<Lq!y)
z+T&5_C=0_LiUalm1iM|R;={Gv$H(}WIjT8U`}SVPKbNww;rioVqQ?=AP~<takL(Rb
zI|5?}_6TpBDYh;5NiIl=^NiJgo}=PQ57?ATO-+?Qb0vjEp_c|{KQub(rw1}EVl2Q<
z39P+<Y9MUkM>*ZuWb@=w@Q8;|UW$5d&#5a}ge0gC@LEV*oH=9m6)C6v!Q+(YXC*c7
z&rw?>{hlJZ1@EoZ2j`Jp#%nDeFWfrC@Ftu7#<+OUdg)djY_B}Nu#rVsGHrSrghR2h
z)8zGB+B0!g5Rk6z0pp9&PpCi~z8bU@4Fy*<Hp&5txW~y`a_Q*^0?<eVIFS5Jl3)%L
zHW>j}aNOZ$UCCHBhUlgTjoTA>B8JI89NM3#huBg$Q6KQt0Gp;u<?Zz)#%E&$N(pB@
zq*(5aY!9Ap3|WwiFQ&Q0`xWelE#>DUb04E%rh(10of~Irz&V^1dPaQ8B=P5U<##~t
z>1L?Q9l%8TzL*}=*b`zZjtban)}-qq3LK(e^EwY$AVb6#%`JLX>cTR(Lum=D&8e@o
zjVe!m!Jn+XRB^+pWl=99eU@L<frnt1RjIEdXS58^f6>XfjB%P<ewc<~bhtLfpqIqF
z&+|UQ)~3a2`Re%}S{y^uG3Xq!a|a20ZTdp-2>|*&pHv4=N?L29tuPYpYEQa;4De=c
zlYF1MluD%1fHqVnncUSkFtF`9b$JSXtuC_<HzOTMr7e}is=4fY{~CQWsj(+4FZar?
zz(JJzyzmsDF~yTcX{5>Q&z~sudzoRYw=s`zNYx+!oO{vL|368e(1SI`cKmiZ@cvNH
zq(i4!rjw2s{!H19VDJ-gdE3#$*GFH5EHuJKXC2_aR(82#mhNvCSL>YH;_Q)_Mj;FR
zt+enkt4{5~8dJHM>v1s<O?yAMya;l^Fw%JF;0^)x6sdFTNC`WCShs=ZPo^GbmWo+c
z=S}R<=|23yfGmVwntf!JARly8D#WVY$C&Iwi~;*dB)|>`giL~T;NdNFCU?@gJC{R$
zjE?OCpt9RofZ|3bZUfMx<iT=wmvHd~bDMho9-V>>sBz>IfljX?a=k+18aFChFd<U_
z^P1sFV$(7}KHc96n2gG#_=jiw>}-l|sqw1L$vQA1<ByAK(581L3rx}pqR><Q9IQXv
zOiUlstyYT2(>z6Bb=u_(OtSBZ%m%-PKs-6(2A<HzsFSLzd_?H$>6F&A1nbW`yTu+v
zm9PR-w2qk6)Gj6Y!LL@?EC7G-yVzM+%)*}5<nRqgWY{V@FOH3l)=suK%Jvk3&V|6K
z3E8NjfdR|leKZ=4BLOv=BX`Q_5I~O1;Ww(3(F8LI)!XZ821s?^!HC4~{LLS4G?Pq%
z&lhT%YmY&Q4ns4z{W7XUuv3%WFKBmp8<};?jSG%(DpTj7$bu0Wpc3<%_H#DCO6q{n
zuM!bx0SeFrDCr5X$*~cWU%%F?Eth`$fH!Vg><ue_kJkbx=}McMs-37zG-eM5+Cv~a
z*!akC6luEJNBKM*C+JvU_Z52GAY}rkd1PpQoOKYR{0MsGScmeFt;Y0nn<H9!@>GC0
zfu6aqf{W~&G!?@y1A1nC8D49O<rh8EJ=Jl`EU{>Lr@uLqBfTeT$p@}%apy#RlTEN4
zXi72S-0JK1b+0l0xZ=qfV@F}@?2Pj6N)k(!mX^i<ZaWc%q_MB8<sX{nNxGHe$+#}-
zV)6uFrqg&!>UBnhi6a3hjc&JG15X`&=Gv6(bm;jt#$~Z<Vq7>j?c5ul1ux>xRW-Z`
zI!eU^ET$8%OlYy(TkgEctiGDe%$>&0n8Uh~ZJU~`1Gq8=+Z`h?!wD?S2`y6b7%yLq
zd1+RaU2I;uEQUbSJj!4H-nxRqPouNbUSw_9WE@c&j992(-Kc}@`g3F{%ZawaXcWgF
zfNw8zi#M)=TGSR)NqU<I4O}{x&-{=Hr9Bi={0-e`rE?CPnsm4+-B2|P8rbpy8okC{
zIl`kufB}b)NK?i;d+L8lm(ze{$p!>MlKYTIFHOqn{}&GYdVo;5OSwoe`Pe9$1t{==
zk-NM5`v=_LiH|4=0B{Fj>ka`nBA=q)Ka~68SG6JDT>h8_Z$!Qw=q?vHePx`8S(lrR
z6(H(Y;ycmY$R!5?#&@IX_4xmQ@ijebiU&#{yT!%D8jhpoO9AFeN=j|I*J_1+ZDH(?
z*(74jWzm1Z>Bu&lESj>x5}*KUck}&GQ874tsZ!FFv(*g<{O+Eu|1Xv#O9bu@dsS3U
z^}{(Tm>n3OyT?|zzqH8vpt6Oz^zQi6<FBvzh*X6Crl_L-R9^qn+4B!f^`D{mFGKN9
z%aE2`XtzwExD&hgmg8Kyf7)x<?&A(2XY0)r@mqB0@#+WfKyKDP;YNYR%HOkf&V9Vl
zs0v$Q=4?2k%+L{pe*2$c30-Q+eG-5A)cVNiq_!N6cB8(@SM7hbV9{{Qm<=i|pKzD2
zOLbjVzv8?SA>I!+Dbr?Sp^<Mr4Sr=MJ6m8i0&Eu_NRZt$J2LZ-8#(NIze{Z>KB>IY
zYUKOXM(#F9i6SSdln;J&8X9{x9B*K;DT%9gDhxj#zkhK3YRH|_-#B?z1kovUvFqA`
z?`U=|&=$v^K6-PSg!EKMr^b8+Lr2evReGUO4lX+f!M;yAbV(g<w>$K>D|kFqlC7+T
zMHX?mYY<3Z`I4}jAAD$Q<6CBodn2j`e2psCR=0N}MGF~0UIx5c9&C>2b~sIDWQb_!
z_SU4swciw9j?)_3%pKhQB4Qu3!ZNRxTAJCw!>hCOwJg^Ad#{^Pta2-Non2UESFslE
z5_I5b*KnT2_e<n%Vvs2BR+QpAi?rG`fsHvj`VMQ-Y_lM3H5%EE3mj2PZ))_<d`={7
z`tg~GptS?ki^%#`#DC(G*K{iFl7&~0(3ScZ6&uL9!R@A&4$;Q=tqrZ>MuGFMKKLMg
z-A<imx0s`&`!E-j$_Fm8k}G|ww{hyrtgg?pM@^=pa^$s(*SyCWBlgB~IUplgajY#{
z)+h&rgP}WC+nD|0wezlV-m9Vt)R(x%-hSJcByMu~a^|-_D>XS%`S!bkj|_vQ1%Yh~
zyJ8sIPK^b-Rkfjxi<$?waSnPIlpB^cp3Q${$L-W9xnWu|xP_%(aRpyHW9IJA<f=rD
z+%DEOnIVo{p*3oyL{`cdu4<}N7$u+Gr_r;<Sm(}y`tE;8_aJeYmEeCe^hXa_;$^wq
zQMn>)UU;5muw?u;ZdrU_`$wj7QGlt!V#;8dEA8r*gfE+%GTOO7bHzgA!_U=ztIbWz
zv3`61<%=g?WwE#Ch)9!+o3LU^x#&_QOnY182Q2E^!|cC{7xnHwQz_>;!n2H}!XHN*
zu72$}-gCtTtO60)Gj+jL85tR(lpzMK2|f3vwEM2WP2+VO3-LXmaVuzhP>?lBI$y7_
zR;N!Nv^8@S#{cToe^_p-sci-WA+pGbA?`dBeF8rD*5d^RhgiukT=WH2aA8>%0VuOF
z#Nsa_C(2xSSVx@qcC>V3kF;0P)fmnX_(E?#^7^9uyO>6+^fn$D$LFJI0g8n|e#+q2
z^3&2x#gE{L#vP8Sl#UdHd$Fun${odyf+>_)TvywZ*x0;lZG}P&SR^~DaO00S=P}Kz
z=0vxSpHDCW=YXMbAw--Gk6lO>38YP>c7(C4d#nDmA2zR`zys8x1EA<@$k8%(dWe)^
zUl%yOfDHsSX2NE7b>s!v?R7(1vK~=!@hG^*tE?9wY;7E<LxZ;2O!x&uD29EUU?mhh
zT?k!p^6owPg7@1-QU#}=hQ(3OkdDW$otyG&4vW~J&q`tkE63N9l|9Q}Rl~e1_4q4}
z3%`i)i5=ADOCyKT9CfZSmE%}<1)B7%5>&1Fi$JUq6E-zjbTcenHzV*_rM~Xsb^wui
zHItW!PlS+$%7G^+elHAYYfM~+1mRcA+U{MA&gYmAXa|atY`_;Uet9|OK6{aH>v#CJ
zJuO)oD5eboZb0lqDB>FM4`Ge*2xlJ~Z1bGRFQ`}xzbF#O7}Z7!DF*(4FethKn4syW
zj<G{7-E^qdgmbE=_zV&Kx>2IwrwOiJX<=4_ZK^|flc)M{o^Se)eP3Q4dCb$2kXw2B
zs5k9BF|T%o{KYBD(c-6L4NxD1hD`XiAAWMb1bJn1%n9MetEzJLos~~`nO|?Gt-F`k
zKcI)Wlg-ex=6#ZqsA-J~OhS;Qm9BV!kb0;q0=~8`(-R}w!ss5FHIx;ZeUXWY3D~BA
zfXf{eDlbW`h^o{gx9YVyQi00u85A~s<>tT$Tn}Wg9J2gNZy8K|rfGpxQ2SQ>wZaN-
zMho>cP`W+1l_EmeXv|-ZMv3`&XXEDwwP-)A$HsV#+JIGbupcmDshoMdqnvnHZ^CBi
z4qYsi6PQ8LKeiD*2R6vn_(u%uYmq{nj|$@|yr4sspl4cLtTp`2wxxdcSVWvhRn{}O
z45Y_SJX{EAn6Judk;Srd01O~O3)4<VN*WNd1K({s)&qFwdGk?G`Fq;A?R4~n&4w?(
z0v~+>o|U1Iip+HUF`82-kAJ56=m~YrLMOhvK0-aQU~Wq=&&oAb*&6J3!$OJ&XzxKo
z#GRbWLGfil#6<p)!9aMzcb{^|Q{K5ywv%xS2Zl3Z!Yk+=JX|PhXHc9ngdsH&A(J)&
z9XbU;0X07Lq3b|C)($?JqmkbD6$=v+6%By&(LrqH_F@TFO7v6T2!E<#uz1)G_f0TR
zPu;Fv-LcH5Qn}UE;?Q4uhevKvl|J2jHxhGNUFvpWl<fO2?m^l!H3;-T<F*JZg8^wU
zGh-!j@uDx{jYnentlPU}cDy?fIuNX@5@}UktKauC^E4isum#?db`w>({Yy9?I_wDg
zbB6BM_H5Pjz@0uJCxIvF)6LCISNIynxW9_uhKrLRiipr}Q<x%Gts_|+Ga90qd(%Yh
zsw0Y6jhydH@6m0TZ(neY;;Nkg$b7?APG5K-7iHR5FR8y1_+voAH@Ry8{5`j##9G$8
zWI&e>M=Ccg%gVi|gZSyfYDiyDoyGoUP={{A3&WdgzSmN}>q>45AE1h~R)XZ;gWdg2
zd#CnMn_R|BsmNS7Q_YGx(ko!6qTx~u!(hUt#+=IB<BxNwBc&0wWUEuBW5qpRzwYdQ
zVA&VSoZi)pKB$NE9O5?TYs|DQu#-uknKYNeN0o@wVVJyrSpvJ3&UMi-JaMwGZ&MmF
zR(F%h;*@l}<IgR(Y#^4IXerDCxmN28@`y3Uu&<GE+af(%f!FO)g%+4lST=$ckg!=F
z9JF?2!&R?es2gW=kI8xkUj~Mz6{jy;w;gYDmsad++bzM!3BmaHXhI+8SchgsEq*j*
z?V&nzRx>fv&7emtXDl1?#KkS5U0c9R<a;-RF3D$Zl*D=V`Rg@d)S0N<j2O;UxAtde
z<9#SBzkho)E4o>#virfYeRWG$7<bt4(Rp)IC!pJaS8lNYCRu;w>o;ckDGR0+lD4KB
zHylV!QP|=)9tw+6)wAp{VB0zi#J}U><24HN^Hm_DXMrZ{Dcr{x<?PzEmba5QkfoT$
zm-pub0qZUHE(d34HbDsBg$)@%oxM!3S%41UnVp@z;UU!kT0`9)17#6)Pn<=#Z?9q9
z5Pnz5yztsm>=Wkm611aMRmz5``F;>6*L|t0`a8kR@Y3ddc#@m0;5FPy$o1M64>}(v
z!^^j9BC(ns<kvV@lJotV%pnGKdRpCblS2a1YJESA2T94p#QgO1NTr^F#Uw^5$r{`&
z<Ul$pkh(J4$hE|kwn(p1+wVDHuw3nu6fU$PWwWl1&PP;uIV^U`o(kpV<5K|&I@jQh
z^&U%o{J?MaEEFx<ny|vaZ@68_-jyni-31-f$-pI)fgSJR+yf4(>o#mJMz#C#6t7R|
z4vYq=OifjCrux|vy4l=xG2i9CBTN<Lzv;@Ff07xkoktzbe;x_?uG=8OaCkrkfi+e>
zmM42Mit<xx*A@JT->I@38>3H@FjdG^*PlGehM#&p-(ZO>)bA|y%SM^<<(BI_OP7Ht
z*rf38^vZ#==^S6W{__0bsY>xq7HP#3Z9zKEa?|U_`0{8Jx^8>n!NISwf|yT}giRlw
zX122{S|)xv|7va**C+z*#<~-(@6hjkxIhQt`VMbYtfg2nm^S0Ai6q+=n`(txWv)Pg
z(&j(~Kj;J>_1zjb*<Lz$`L#R04|^q16$p!VHe!0>vw&{v2He=<ySs@aXgZF6yA2n5
z9tPyWf@R<OSZ604p#nJc8$P_NQMfr+w4GEjx;yr4bT<sOU1R!qd0xL_zA-%?Um<Qa
z)=!9P-;TDG?>u>7`7|viJY?a5<I!}`NAxS3*okt5O4-8i2UPY32h}%&F!Gi$c~7Kt
z37cT*bNrb})9(1J%alkjM{Zzh1*|x3sw5czTNS`SbF#ov-=+=dXS~+tdU*7@?Quyz
zy9qG2oL&x^zYQ&9kqc7;*NV3W572Mp`aFw!`S{svxKM}FXollf{=iWyQw5?y&sQn%
zlYMxXWd%4qEjPD3zQvh6u>Aa}6m3_r7o_ue{<Lz#wl{siVYL$}BYiro_LOzNowbC!
z>=tzF+R8Hf;fC?@g<m=rbv+jHp1Lf6t8Q8sE3jVoOY;UYvHHM)6+)P95W=Q^{X+7b
z@1!`veFQ!$F=zq<xLs*$f)P8<xmSmF-6@hW9Dq7h`U$l3`?n^5XwRVDXQQm{QeA1O
za1Ucylc9eL@CHSpN96#k2g`oqHmxdV^d`^?_>gs;xosrVpc%*?PQ{ucZevg$xut4j
zu?AJ9MvJlq5ml3gITWmVIU5ZrQTi@38@w`}wd0!Cq~Ge_P+Y4PV%n&Q470I8p~koN
zCjE>$tabe$&#s<tQ)&G+x0tuxFO+yFQ^6lptK^@X_3-QbVh4-3wGu4%(=CO?KxH^x
z`Ffr<xN-A$RQVU{Z`0CAN4g_~6v6(mDWd_76ycn<dj`eeNNkfXIy^kY0fVXUjP9ni
zWKh{2ZQ;b#(Fta<X5VESMJM6JdJ`=bpf?>=>zodPhS9BhBlZcVu&)=sCkSP_0(Ap%
zWqXy}ei{r$l9VX;wq+q5nR20@CV%I$w}X?}R%GR&Wm+rfz)3lq%~sxHy>rCxjd9&C
zsWKJJeRm8UOstPQZL9PvF~EDZp;ERY<w|WR+BBO_w()F?qp}?I+$Kzrm1sMTw55l3
zyvLzYYa1m5Rl;u(kLcIa0yf+EfU>mjN1=su_BfTKt2~bi@xWf{4g|3Y3)02}f@a$h
zU?(&EQ8!=Cxe)&`OPd{kx9=JNZ&1JsW9jWggb~ma53kr&Y;#oyq^O?lNeu4D+oEJx
z(c=4S0AikOO)!L_%fVQoYb2b30BE%#TaaO9qg&!;<nlw-_pqHy_I^J#IrQa<Gu*qE
zM<l-Czg8H<%fA2lW#cvL(R<c0kz^_BZK)Ic(mStInFM9IPPE6S%w(|QKze7p0+UC%
z7DTtSF1_JHyaR8Ml=lKRM^q<XKr-ng!+PJZa%;s5`yO-HUEH8$V$xvPw}$Mm0Gu=$
zWj_~ZC>ZjmX6*{|vexYjAhV2yoF6zsO3RX(4h_EdM#1|_jM##d(Zz_oUJ!up91du;
zDfAk9=c3`3o6>ht4ql5HsUk6TmQ^=-wk8!7a#h#LE`V<jCbfBZf{=wieg8M6Z;->T
ztgo3D8orguncF(f1fSQ?f87`&d}5!4xTr$<1tM=Z@)GQN4{fUG`)e;N^=?M%%#7&T
zo0i|Z`R(J+ZEfmrON1NydFhvQE3tJ-YB3awJ8;n`LQYYUIO4iUtdQdN-#zs^>2@2`
zoh`rHX0xBj8&LNYj=03W(-6=?-TIA={^N($Gufu5g_UjToCGaeBJ$yG45+db-S7!9
z??D`xkM)lpG~MlR8qexI_L~=IF@dnC@ZMKOR8-nTTz;_mES_G{VcbdZ6Y}oO{L9g+
z2o~_(;FQPYAmMLnek?yUMP)cvzLSf1!*l(|m7xFwPQlu--QLW|H?GWL`uuPG2N~!k
zJqjE+Gv6jzmA1#eUP$T9ge_+yI(Y=N=I)-Cw)f`mU5}4bE=IizIUj{uw4eZA@X6V!
z5D(Jn-&}xS3GVZkl?U`4P9wY*Gb1)I=yJqfiimE&<cM^mc<%>g!NMQAD1pAWY!j$V
zM~@jF!e+-hR+?OCI~Ig*>?uk8OcM7+;9Ii+_;8}(OTW}p??zOxn86$|*;D7+I%O?m
z4UcgrD-b)8VBzt~?6A`ZEsN$2jW$2CfoXMLxfbiQ>uZI?--Xj%4EnGse<Vbo7VsD$
z@|>UmHAirPBx)i)mn!-wUPU0h`b+1&4@X&#K8S0uwPxEd+nILaIu9Iet`?n=bFDum
z*Q`Yd=9`*B!U_oQ2d`WA|M3?7&yW9?4T%Cda3@|(1B?0)>5Us-jJ#MVG-TF*Bf0&q
z>liB^H_?~X7iN>UK6l<*QhoVZeB7SOQ?SVAB3Uvs%H;A6qu97+*Q+l78nxi3y`N6|
zfZg~7OIzM2WGg%D4og{r{zZ$x)N~*q4^Hcb;=m1`af1r`!EAV=ePODAT|<_V$q>F7
zl;@HTmPKs3Q`(WE=?|fTZ?-G5qytdLCT5_X1t>IT>@2gmqa?hX<{AFmKd@ePVdx2f
zISo*Vk&JmKdKemEg6;#<Zf*Fj0pj);n@LvmiTw_FuTfJr;onb`x*i-sUe7;JA=l{K
z;tZgjz!4H%X45109#pxZ*i@kC<^)t0DzXeFZnE(&EdVJb!L&sdaK4PL!K{1IVE1Xs
zib449XlGYbUS7U!3kk~q@PRw8sOU%mTj{>o9dQ##H<TkM4YalIR)@*OnTo1BOHXOk
zhm~Fu=PQ{ph^XB>J-Rtd;WbjUPgBuxn5pU8pYw6Mzid8|`3mqp!bgY+@B8BXfBwE+
ziCfPH7mFf<E<%o{CAu%3IB_BqB)e-D=;-c+T$V8H3qy|5)D+?FV*+2@o8k2gtt%$K
zePa*{Yhx6-)7Jo3yzi$9Uz#KUChRpL*5CIYffkfjEMA`jhBEXA{%aUlg!AyHX+=nq
zgzJn6#Y}y)(bCSP?ISgB-m!AEM9-B9&&ifipOp!Fzo|!7Oekp=(o6k8$xaTmAC~kH
zgD?36;<OD*JG}sq#gQHaSxe|;+W*?q!6K$5tjKvz^GHdqp#ECaFzOm%PbF+n!XT>C
z)7M9EFRhrM^Z~Vd;xIi-uyHR%m9q?}kv{VE^$i37it_Tqr1wBVMF7%aT_ysgG)mu>
z>6K-HSVvm7FE4GeYaMo6<J6MMZ>Iom;^^W*F2}^?=hK4BSMAE!ebc<NDt4(YzPE$I
zmI_;fh?2Si--#z$`KCIZr3WmaiM2kHUp_InMBIeW=H3zoy3C*<sB^;KIB>OasFR0#
z*v@~Zn9AP&@v{)*O$9Cut?8v)?&Dz^jPRZsh*dWu(=xzKJ@_$N*|{-_`k5eV>Nc&4
z93`A>L`0N{V1})Ae|~ma+&^uI+wRWI<cRyqkiL#MzFe<vB&?Kg9Nns1Yt(lKl9sht
zeyNoaTByqzBh(k^31hhL_o=ql&ni;mB*nv(Sq<obzJT_mCX0yim_Fit&I?vuxA`qz
zsl|e{2=9vLYo^}{j;Gp+!IZHNvWVD>!o5^9^=bz&zE`JSMWK(LMdSX?q?K3EnB<Ct
z+a5dN0TmwOvmA_)Gn811X5708#~&6q{QCfKF{fSk`Up}s2xrWB_J$Hr$3;5T$z27`
zOl=3t3}nq=>TLyWBK~N@D@#UT{VpW|sa#n#t+DN;{;IvkVi0%<LXxg7g&U`-z+iZ=
zf@h48t3B4q?Z>X#m_vVCzM2olzDjI0v$%STTpnS&5RlmA+BB`yN^P$h?LrG?$~5$+
zFXnn&uP`qZ#yI!wezeav4b(*!H{{h@L>|2>0lCqSOr{+$zwV6(LcP1z)MRkt6`m$<
z)U=l4hGPBZ#Ul1{RdieqOK_ftkF=JnE#d{uOyB1F(Kw+bJRNVw<-0Y#ljJe<_*@k)
zsIl;IvML$LP>E@NcJ;|qgD(jo#*Nn3)g7cCS(Qra&j;Uj_hEOo7f8Q^g4#2WIh57#
zQk+T3-{ef&!AKs$>@~=4|L|I?S(KB0V?n~`Lsp*(a$_0}9?B3wPn1)5;<)eDPUAsM
zQC-PahGT!NGhk0(fh6@9fB}o5J<=C_wb>`k3mdMmMo|E#iCOjuHnQebfPI(*1qQM`
zga%z%vZyH-Nk5x&eA)HGQc}&BiO1*n%Edissrpt|9pgZ!Dk{b3jTiP{iuC7<A&T#{
zoR%e-{F0uoO;~i_vQGNzAugN2WBraeB95x^=|Bi%S=hJ2G`PLBZy)FpeJWB~k%_ZY
zT-75JsQRYm`>}QL4UB>^%4dwlz5;fx)by2W`Lke#EBedT=VM!j!e=uG2CNU(qiv_-
z;6)%wr%~A4#(G>O43+lPT&H(!zygCF(nhsiO+<cyxH#+Kb+3r58u;4B!a~?boScQ~
z`wBhes9aFyx1OFJ_83Us>|>}jkdAW<|N6L1`5<x8SN?5zH=}z521lc!#eObP&<+Cn
zDzzY-7s5=O!fPOX_aL4?8+-J`=?kI@2gcFTutI(4V4GjHq~X&laga!Le~1Q2@<H=n
zVnGrfB&qhWWkEJ(=pv%)G<2}OT0OIId!MB&YNGeWeYo;sET7wObvLzQZwpu6+-LUz
zW4zLdvE+GxiM1{MTFOMhPlQ%UO?$Q)1(vwrfpfT{DnAV7lvjk%GuRGL6EeX*Qo+DL
zU|*~vg~0AUyuJWQ8kwAwGldgqB4x<Q)!H=(kj`3BR#BN<^6(>cvwZ>QU+VI1n<0)0
zLYmYnW;43QAuIF7;<++45QECI6wZ5Rmz)t(R~S7ecBy+bvbd<LPV()~vuw-Ny+dav
zx+`FX6TU+ab^_lR*cIXfi<TSW)W5Qufalj_?#q{YxYiqexah81JV=gJmby+riheLz
zqN<QbD&W5+s;6CES|H#+ok^<8i0)4ugEb$kuEZQY&x&!^rD42YczfY>G^g+nHq4k@
z(=0I~S&P(E;fD_|jiAmk9#I(FagnKH0#F!5dUj8xj_OlE(Zk)z`B=;E-4%gs(cAMt
z+{}pwXr%(#V4+rH1n51g;;>sAuc;y^NT=LqZ@j#e>+f&6nBv~u*MKfV<ltyPg77l9
zN)T5=?o5cu>E`(SzE~#Kf3PepO}+`mVPFug=2u*+w$O}TxwcbDM&(Q0Y<b%m2E2!J
z+pIWHg!x8y!Q=ZXer9nlaw(xV*(pGSUxh8cJ*<Pppth%t?WR##;tt^pF~0$)^y_z<
z!q)wz1~=y>$^?%rik4GrriQ$ME#Z|RCr2m%4b{yg5bZ#>mUi7wYX6Q?Q2N2nq9vuz
z*}&t(kx%9$&-BZ8QRj$uyIrV!)BsF5WQY@kRP8qgwG}a01G1UPP+XQf$3%_x6^lrW
z@l)@wX=lLU7R0$^g~BeXXgzu~?E@(iTBs?yNjRPS)39)%g)?YyQSUkGDj@tS2lcJ#
zK&eposDy0|aervlxNPg(xmH)v&DSb~I^yWz)6}4GMbiz$i>`yZ-}Cg5$SMgC?Nt^B
zu#;k6c58w&u$MY^@kWP*g`t24O&8o6m^4M@1K@QS7DP*i5^eqF%8WpifGEulE&z;F
zU3P?wsu`e#Xp7tWXT$+Yb~U&BUc1e4&UW4Lo2x|`F<g1;<uTHqC*<yoHN<((on>;z
z584|T783wvW+kw#XU}ZOWq;ed>+V8GN5M;i_PK78k%2*C{C#%&2%$wt?MGlh^W^A2
zM_1PhxG6f7Ade*eKsIH70D0&HAf89OakUeM{<T?RpjSJv5>Wy?rb(b^D#D+tpg6!q
zLO~rI&V*b}5LoJgivrZf7SNwgM$XDqr{{)~UY4@^ED&$Z==uuOT2;U3Hot1i2L(86
z&2w$z0gUk3wdxWk-w_U+%pV(C^2tx9e85+nNS!YFW#x7}tk9ncLz#{3r~#ZG20ZGl
z!zBeNLn_i1c@kB<&`#7LQ!+au*T6_m3giKBW?pHc%3Gk#B`nJb3}(nh5o^&R;NGnW
zaa{695_9~MTdnrFm_F=}qeHLoC3o%aefI|#hgWO(MFu7df%xt4tb(ix_?n%wbGjBV
zwn46u0~;X;#lDEh*??NWeC+o}U~s4k<fLV|LGO<rZ{B!hRCpPhn6T*A{Web^`lQlg
zPhO0{iNSa6n)?VKL=tMhLLcx<^|2yFg?V|t56-Fl34w`*En0jD$@8yQDAS+9IT2AP
z-G6>0jLCn-;m_3g@5~1s%TF}s?{xL_YJp>73%ontBQfhdhuy*U(uoZpnPFXokIY&D
zSQuImvkIhoe7R{~X3@%#IcQE*gYAG0{ccMrTBD!>M8HOUERC4sqGHfRoyxu>2#?%=
z1$70cT>X7f!H*sfcM%%VQ8C-z5OBsRXq9h4<3Vj=;`wuOlpzkdR9}ZEz$4#!xPz|N
zwypXWe{7<x|L&FBwDlLrnnk+0x-!{Kt}eX?BAtRePC%dm0Kd<WqtYk6|1Q=%P$e~l
zR^2~{uJE$vjJa6D1v~fZi!R(6;wMHKlGlilZcRA5O!-Rbzn5L%U?IQnf#`X}qpEvP
zF*t9p<H@c1iOMJdYl8-G;3C>(Z6g5MiJ!9T0%h2LFAyVl93Xst{J8b<EF(}Jes-7L
zagF)-J`~N;nh>)HY73L7t>5l1L^lG?)LpFihXOGO?Li?GY<rPQ)g`{AweGPxjn^C(
zEehDJgfCw63~g&oIMJFw0Zs<}h4oK=2H*@SSv?;25}fm_D^MF+GC{9NnX;iGdbm2K
zk@;!Gt|-K@KUV{F6#`&svr?pb3DPtf*Yamey)i&l$HBDwR><0Iv1<r7im6>wgch=^
ztu)G}s-xIm-E)H4+Ey#}!O|AhqCLQ;JqO!WEI6HFJiy6BsQ8b$`F@X*KiX@EoMn#g
zOu|D(oABMppfkUUr1wORW1WYF1iN(`<SQMM4?Nube-%FAGrd)?+{UA2<H5RIJN(|l
z<zzy%&+VGhvh2Q>v=Q*paU5eLzDTI3c5`#%XR20K{566{Y>u6AxZL_w$gf&!Q77(4
zrug6x%}>Ew$Wd<qMC@090$fuQ=&F4ol=H)o59*jvjQ>;2^t?X%=`JA7wt`5vAS>NB
z4Ql~e2^SjLYdrqMu5dMaAO4o0krHS5xMX;~H6fW@EmnsiLb2Ec=<CkPv2LkC(QUig
zn8wGv63<_gByJ!_UmFkd3CT#`5T(1g7?T?G<NGVy9%u~7dpa?7O%R#9W-%23|8{9H
z6FC~S@X_=NLgUd(m#mQ*LOue_=`a2uCO&hDWHQj>L|tpb=f+*YyDY+e%EmSV9?TF&
zD$3vgzgdYi>pN&bSIHMtDE5W^szj1xW(iq?SkkJ1U$a=Ai1<-#+|5fCZZ}~aOzt1{
zWXY~DJWLjAt&h+5GvG1nOCZFWDte<%;Ug<pp}Ha)B^6#mweJUGzpW*?=yV0LQT`2x
zGnwm4mR|^2n=GE0%!8q;kdf&68b6I?u${aGmJ>?sFyE!VY$HIjzKR_62O}(KSpL%y
zk^~kn8uS5(1G7!R`v*&ttnLN|BQ^eGHbH7wHf~-W&6QhGr{_jj(Cr|!u=@9k<Dq_M
zPG{QD_WZw897!IP@P8}f=i`&+)!zZ3;4z7kVG<#_-q(IS<~=h{j{^01k>mB1XTr7I
zg!p>%=|CNusn;}py)*e6_W)!z8)!-x>`sO~&uLAVm3A%~j`0I~q7B@17Z%jWPJiJ-
zWc(bkqFJ#Q0j%lrtaxB9xw`e_&%$Ngr1ZgQ8XF(xWLZN*qy@u~cR{=s%T6fH*?;|8
zoa2BW;2u6l8}I(vP>2rhHH}4q)S^IW;R59Ky{kb<ge?_9NaqVaeAr79TJV5C0V(@%
zb!}NkPjBI(#f67Z=ZBy&R%bHCrIB`+2FimWOD1Cr-Km%2JVItA{6+Z~e}8(@y67r$
zYDWeW15aB$^ipb?`0?Y%ny=|)2y*l^C~+^>?anVQqClAUxHVxb<nqH6-!yo;<<Q!~
zWy)@Cc@Z}dV4>lL;1xIk!`1t4^#SwIt4qj-*DK9I3=~0NW@%~}0cMboyv85bo+jFx
ztJdpY0{*n<L$^A#Tb(23{l|~I(iW}Zrz3>oRs0mS^!f}T*z&3>jXaQFLcJ~Ybaa@n
zErFVloC(k&T53RH@fbs>vv6yHt*!0-`%=Az(uJVhiEB*b`g4@LcLqlZAvjX(Gc9(!
zM4%FFNh5ZZ0oi3au(kZZRBV2|fwA%V#2<zouodF{LwW-xf~^1iNEo31jKlAF^}jq0
zSD(U&9-WP9OV!QSGvQszM~*JRkt%)zo)c`>4a+~|70Us=s6>ZC{Huyx5{R=(Z3`BU
z+8G2aGT=k4&?nT0DVDrp^XCvZ=YB+vVg2xbiYo|i?Ncrgxx95Xx>~vKI^=%~XC`%(
z`#n@d&&k1Q^<~x-xTeRmgKoJ*pf}<SDJ6)BH)72AmWttWtHAW#)THNa`BeawO;pPA
z=j}aXFqO!HK3()x0$j!$tpV0RCVYuBfZ*>+cs-{DA6fu<bUsR1FUi#a-F>PCFC&Pz
z_vG$DzEyY$Jht63y!@JsDX<Irg||}ET>AaarW;KP$OG(I;EODS9O}MIY3jkO1n&mI
z^v|-Kf#Xvy^g{7J@y`sd5rBD(?7-AX#Lc%!LuTX4oQD)kmsQtMeViR%fJB4i<ries
zF9X_m{8mfaA^|1KKUq9-<gv&vDDm30{n=T`0H^ViLLsJvqcLI%k+y{U;FJ#>srCIV
zJ+f;YM@ruH^S*}%0fU@4GIdqHeN6S_>3B91Y>p~Q7J2iHg<@v!_J~b7e(hG|N%N_*
z>$@$CA~jnJD=@UTiFam&9z4erm8PDHiMn^S3b5mVE0SE#R?hv}W<&qGGORQmot<rv
zT6xNl5isnMcp5p%5RRgi!0Yj1IFYaX(W3;=Lwme_%XkPT0uDnS?q0U@YQHYN?38lQ
zQms?>a)jHp(R1r<G@)bn+fq|Hhr&xUqWwPjS`dOVYsK=PibI~x04vPQ*gx=>iv9(_
z0w;40eNr5Q6BNw{kG%BbHt`t=@W2=?P7&<2cK0tS1O^6jCaNm4bV{r~(ATdLx)8>~
zw`7yHh=158W$|6C5hH&c5`EvYF^dCSw+crhh`(xt7C0g2IR+Ind!fKU;)l=W9{%{N
z!UqR0TgY)Yg7I%{-0IxAUhOL+UFhnuQ!~F2?%{^xYoX7!p!Ya@LPyEpHn*#GFzv(&
zLaO`RUT#>5+mIv^QRT(4vv_ebYPV=&YH#8*Y#=cH`5OR4|8D|-j9Wn*5ffv9xR(1;
zqHysycS+tqa2QWPv=cuMDOn3HVkZl|(<mf0FpcGTSEVW7Z1e<1Pu9H9EJsd6!CD-P
zztLK-lF}?)Q4EZ$iY|NZqz&Z%#_pr;A8Zo*)nnu06bdS^j21;^<+i<Jzrd2QO9T}*
z_H$-$w)-1o7XVGhY|WAF_uMC%jv4E@N^|>n^s=~HfnszISnQ(r*Ao1nvza(^8O;8s
z9p$v^yP4J1dukAXIeD2f7QVPl*~kNEQhWHp*Iys!LTbldQ&iY@s@C6CAWLu2{Ql}-
zldDr`f=>XF(LIb1Im-jj51UeU5dU2O$9e!T-}-|Hd3k$+RBtO>=yXAaIKd2Hq6i(s
zr4gv1MN8JaUF1lpz$r^LyQat{(f?wr0z!??)u{<m5VB(pplmT70lyeCW$l)wU52<I
zb}@?EE@=me(aEZu&hZ0%fVh~sHYOc!QLWHdSn|+8ONQ0^ro*t-biVIjE`UpBRwZbk
zTPK#{_%m>KiQ>Ibq{a1{uknYA^2cU?f9!L&j|@!5LXgz>`}<pgB;jCU2ROq6RL7a6
zjfcQvc|M6V^G8?Y=Bg!E4l-`#1L|B|gisf9)ByCUj(FTsr~LEr|M~5IVFd1Up4lZP
z8kSF6tT2M6=L6}i*;@ncgI>(WpVuV_1;Q+U_EfICtSC+;TqDBEJj&iYbb8~q6KDWj
zp=@(qyV+{Yo%e-No8XPH)GSx@<a5tq^Srsg%yZn9g&DI$)bxW33phaA6b7rKG88XK
zztBcR<i;U9OhLqapTWeV_XDUMH?kW*iwpAd_UFyn`iW`9TIXhJ>hq;)Mk7hHN=y3y
zjFDc7G!<A<g~V`hus2v2!ajRWoZw3HnQ;fG$xkHuU0@2B?@F98?St@)I{TO|>ld4B
zJT%K~T&tkQFj;|Qt<1-h;yFv|>jOepYKtKqD_&<>&>M?3axZG};anUMSQw%(>LwSk
z2IF1wLScc)3hte+j8EWd+0z9fnTO!)&3*s=N=^L4(Hick4QF?L7bhh}mZtqE=nRoL
zVk7<X^Kx(_h{21r7cHD(w)r4lH==lk0#H4WZ=Rn9o6~B3W`yN{Bu!pfDrcyO1d_{S
zp-vSt1*(D1`PlKb(8cB>3668GBwG_cWL-*5P7Wfdgf5NhYigdYLQdX%`NF%2Wi?7;
z*t0QuVxEnL{6OuoC{y7l<U(FlI(9lFeSds;SA<opb^J2Vq|&ASkydm=adBIwkwoQZ
zEIv_E{-+7!a!(YgCt@>YG~46|g*c6GWM%%2-7%MSrWkELWF%_31;G3V*6b5k?Fxk!
z0-<OV5JpLQ0jaX$GrLcSYiPs1a)Qufa5-VH{7#=ZU<9aizU7C8waqT{1Rc3Q0*L+D
z5eKhIA#2=awlz~%=EYg0AvkAV_#+alkmPmC6sr+Byt<`?f@!lHH5ARozO%nYy-H*8
zT?&eJWH1ZZ2)b@u?cz?YtXP319tph2*%L*KFnf{Nts#u2BLgJIvMdav#bXflRFDQ)
zQZUP#5#2aLyZ-na0SBHm1jGk@;~^6ewXB^AnS#O_rH0$c=YoY=uWKn)`vcf_=;PSx
zwvUVxM}@Lq_7<PRYxcYfKsXzw2zd{k`xZ^{mF;x6&{w2k;AFHra#T>oFbRCr+wGpG
zFd1CPA_cXmg{nE=u&<i4ohBl}0q4NGdbDK6_TieGF?oQK2VCkZ;6>N@`09#)sZZO1
z(S+a)7vR@nQtCF}AqaSi*%iAFAw9|ml^9%<N+0lT$pM@Meu$7~fg`pPXmu)qihjDY
z41hsE9t#R%diM|BWQhYO*aeU`0)4lN!h928@8OJ@oSplyTptyr?&+QL^vvzs?8LX9
zyreZ@Z<#sunfhvU;?gpt>8x*TCvV7V(fZ?>>!)iYDM{)sGi+><O`r9!dPFO1B69KM
z)o&IL#>pP8g<NG2G7!i(^Jb}LU_@Tsv+v?TV4})lqgipFuIFIh$Ns@Z9o^%DfxK-5
zXfSzPDC=l$K9wA^S+(=++qc<U!e?5ZJ$?GLcy1xi??W&KXJi092IWc7b^TixswcMU
z`3`V6OloW;4-GVVd;R$}7)qXLPsyBZs;Y?~iaDgd%%<0|4hwQNm!EnD1P;@0$C*UY
z9W-ts^54FFn-(1%eLgtGWkO!YA-o3ICXFW`3Q0T{C8o$MzCV5k2-;!qH~royXGaRR
z2A~X+i4s6Yf4UL#f~Ym20SF#AcfcyGhiX2^f4c@q5gmqg@@vL^h>G2$Aya?!i?4<W
zgGOw+@j3e0^Srs4nHG!puDT{wRGuCNM-9AUR~-~J`%$Rl(@lDYlldcFnLReZ#Aocw
z>_&XB^wZ0G58uN8(dNaIbVI1dMMlQG?kr#WIRCi)1wuc4>I&%FKauhYu)t3Pq00>q
zj!v~BIk0ZtLx+kQ_>*AoFu2T`^40{5m2l$u+}VIPz@z6;A&hzt3lIVRb;;T%a#PoC
z(;hPO$~)`&7ZhjL>y?^q_33$@(MtVjmTi?i-srUL9LAyYww_R8DQh|=o}{TiH7+M4
zw6R0*`Fo?HueRTzR#d4v;1_7W?YRJY>#trFi58!@NNY!q!d8JXBd>mBYs>8oJx~Y+
zq86jNmL;JTUdg~>>L^#px~8I%YUuSRmTF)$R^jdK%?37sKq_X^din&Kl=D$-n5-s#
zGhhVs>F4gZAd=mtov_+(hW?XaUI1UAh7!~Ou#_=7Gwv8(!<(v(Nlu;|8(VP%L>fJF
zE~ukT;5(jp%pJUfm!~KCM1gp#@d;+ia*{Dpr5BI(I)S%gDxZM{)u}?RM}-rBjI$Da
zOe7aNR)wJ`G6fCPgH*$7W=WB@|4(n%{nu2|^+QKMvVwF7F1nyJ2`C^{T)+Z~bV))p
zH0g-+j!H*#=}lNrdT$9mD^dg`Dv}5Yi6BKvf<y>NdnWGl{t3@}f8l;YGI#EoGv}N+
z?Hk+=imnIU@ANGHxmnXX4cZ9mkTr2VSgLyz2#A5XUF~YGkpcgi4I)LTiK6Q+4v0s~
zt@>5e!GzITs=cX7g54&M9PhM6wN_RDb+RuskmFI?D%mFi081XG!ilYIZFQ7y-$Klz
zvX0lJRT+&J=iO&}2V@XZ3l=4PqgUo>3xUET&L8(>#X`1~!@_E|dM5CN<5Dw7%mH<D
zB#x{XW|f6WYbAE4;J}M6X*>m;$N)Sd9XyvP<0%{`!(wb~9Nw8^pth%Tw=u_&))VTF
z372`L^x5<0g#swo_UQuT&6pp~v}3IjtCdY%Rvq>p+PoFFF6vJ<UCE7@86pXS)+E$>
z_wLznpqRpy5TqwKc;lV5!v`7>p^9DtTY?VN?j!mVOXYEPu8SXxCxT8%DVv|e$swz}
zA?Q(}KR;M@3X>gtAiVMQ{dnfEM~>Ja<=hl}k!}>PuSH9p*ej(j5Nt%L=FezwGJ}F0
z+vuy&P|)B~Va(pt#00P9v3|Q{O$hk1Jbq)H1#L+JacaK0J5<mqAnoC*kbJJOBAXqk
z@M#4b!HbE~N$v4Zg-c!>D1a*|ZB*aT2?t}K@HDIW$P`rWwKIaCS93oY>@%XX8NOJc
zF9n~dRpDh56hm)|z+kt44#mP3>tn1_;YFaAutAaAc^^UB;<*qz1Lu+(@pnAv&_3T@
zCuI>6>Gbc3iHQ+0uC=Wr;Uwz0rcsU*cyfGvJip#=Ij1-kE81YJdcMGKI3S$92mik9
zX6ph3+Z(go=dUz^;^B*Z?OOo6F8G1`4y++cHD5c_tVh%q2n$gsaDAd5yl1Xo_rF)A
zU~Sql4#6YB2s=AFU8qa&fi<U;OW=gbyD$=_Fg-TjKog-r%~IepCbQQx3hjRLS{(-Z
zfw;MiJU!Aq94^7m!BO-|qKFrNq*5(<aB!dtGK>5mpk}1~zG&tI{?-kh^`(bg0;8_8
z`&Cc2LSz-|GuMb3X)OH}w=Bz1Hs@YC4$gtyk_8-vq7C4b^Lh6V#1g=%23(vi5Bi`4
zRdmc+SxT?SXCLnzD_Egk)_0ON7dqbb@~5>!gmk)1e*U}ZX)yp*2M!C_pcgfz1L!MP
zE(K70q{GMhPf-bmA9oY9M)<f)np5FmXRpJ*T&Gf_#^?u85Xz<&^|HhKHt0%ZdU;fs
zmI>6DrT0%S%*^&x@<|e1h&dk9)&}F;=P9nQr?!GZia<OKR+y8s(@5Q0LVDm?VnIe5
z{EqD{Kwv&P^alpy>j{vvklt_JM#8WS9|A6Z037wt`z5>$s24h%6sCE3tn1*az6}xO
zTeYKGw@nuK2(N_4b=1{!ND{ADdZ-u{6Q(65wVQS>;o<vF!6qavnN+`o=}SWluU?ho
z4Zmes$Q?`0*r$UWKYpCQwzjrRN=iyN0F2jaX#4}MvQoNY*7y4C>?X9L7A1oI3&PLO
zZ@uVEO&NY88EwSvS>_N@UwVjz5{qe*I2<m$hf3lum>eJXx3jk=4NQmEwia=0Xi@*V
z9^&KHZk=0?2W(*j<Vvu|`o+s)mVv7*4Q}tHIs?}cDRAfPLJCdqCD(#V`4l>$$9>qN
z{QyDrD;A!pT*;7?Tez@tM?ASdi+MWUF?fSaCLiH%rcu6zeoZ+2WMgn(;800N=kOj`
z?zU}rZJF^$q@q|rp-rV>1VhN@GIurgUw>)F9YY63?X&B;4&dZe2SRAsukSYEnI0oH
zXFEYF1~s<P6nGE|hcNwi_1iOii8A0@xS6qLQ{lLHVKjJ;u*aL<LS|n&3d5ds9(SLA
zj0e*|18z`9j|N<ZXcZYtr{(S2+-M{O>W7>?c`ZkgeyhWc6(`)RDoRn>vdQaCfk&}&
z_W9cJTOE1+-Qx|kW+8RYgeeR_e6<*_WUsxsA~e%Vc!)5zEY$q|nx7vu`_>&s?45If
zD<<?04RK<TlDbcedX8<G22|<+J|h4}cxbmp9%9&1IF9sPi~0yuL3p{kF7@_)9}r73
zq3m_@1rUnj3h`1)kRZ=b4Zk1%%p<m^rp13}0;qCS<Q#i85WgBAD%ZWdcgTiopP8A7
z-=@=#UL@w{Z`1T1b1nW_j^}Y%MCo-k#!|@3IbT@2<C$_v97pT2?4d46FHwdrqS0u(
z3sFUgO`Ds!70oEsHI3#gsXCHL38U9mO7z;)LAbHxOJ=%HCjd2GEpaLrXm?(IEVU}m
zkuW&#!^N7CmbQe*$hkfu4;gZ4_UX8jloh5U8ZqwWOPD(4qb&sbM0uTUdBPXSp3r~y
zyj43&Mc^|=U%|hob!EOvgU+On!C#!3|6@^`{oRKT%0VA~#9~GW=FqB(0s(cUrKQd@
z9RW~-h`(UGYnSbc0!^E~zUcq2`~rSJXCy1ZtPY4CV(4=WXAXEmue+Dm40-QR<=cY}
zOlRj_Vdi4}*iVM^x{O3l+v2!E)WUz<(9lrBZ=w60WLc^_U6ytnV1b@zHSAOBD!X>n
zn5z6sQmrrkJ%En5_2-C3`gZ<`MZn58z8B91=VnSAm8lnHLcP|Krw~Y^({)wD`h^Qk
zj>KF6_vPK&`c7qL(bjEe!G`pY{;Uwt9`FCP_r9)M8>1O>SbB3a3@1z@Tu}k}BTwG%
zzg5%-4GYsok6!+<9pbUR&_kt~EwmMJ2un&vAu~tb$UCNpBpI4iHj%n-$jig2+7NIy
zxes|za_wi{ie74--4cjZmq%*@1t0btGqSO<@%a>I7pf=_H^L@p9#JskE^7^BaT>dx
zujg;93g3gn!#vjg2vhxz!aA#aha^@1>9-8AiSX#<T$=>ojy-OhyEq>Z)-iWDk+~=0
z0_unAuR{Nva_);eUgSAfR<;%njHmlSh?81S5H&y77~B|62(9tS67d(`;kIh2F>c&~
zB<kPQi;U`Ev-?&#Y?Qjt^o*D*CB<jTAPcBmS3;elXWSLi#!WN5Qqt<o4FUM<$H1UE
zwoZqY@0ZWh%Ij^K7q6g4nLtD>74C)Q&g<0B&_Gmu+D<F=DncmMj@|-ptKZ3b4v`)n
ztJY#&KZAmRyw?c1`*G9v_l^APn70C!9@-WC79THptaC7W&D{e;z#Cv@ke_xMD%ZK>
zOMj{-Uo7UCM*4JbEyTpcbS~nHqMR<&mK?g4Hyv8M5~fLBUJjYH0Y{mzFVC|g1=%`O
zOxufc1?BHFhzA4lt$;SR#K7p=+lWse2OqTNnLf9VI@m&ubf%rmqlU~LoA?Spf8J7Z
z)x*-ecdTVT+PLVmUx26Qno6dkxlgykv+U4e=e{}>1AQlcwqWPvyR`>=xYw`s?HezE
z%mvmOc3uV;I{<D2d4-&haJxO!sJ8BI?PI{UMn;f&e_Lj^`{Xw$5%nAiaDFAdQ!a7u
zL`tW(E2h8MH~B~+bb_i(XvK!=@95FDxN6)z;9WndePR~k0$?>YUyOe<Pg9@c+&Xu$
zbMlTnA(h+k`TE`=NMQ;k?H4-%57vDUf9>4sIeKg%J7M#77_h2IXJ;o}T2_rgkH?NX
z<8Is8a$`=%w~DRIEtVoVltAo!9OP|p3i<}|J^%(b$aO8h-D4r?ia`u#Qund}%w}I_
zN5||9i@4Cx&_xC?>?gNEfvrlN%&l@h@XC%U?c(YKw65wHA_Ecl_SxFugV7cM?%25e
zPw+H2u$eB*5rk=gdwYPHsA<)??vk-o0WhkfBfv>)@io7RF+?8O=BWuvc3TKA3oo71
zfcmSq@Bd4EP;r(Dx(70l!m~>^|I!>BW#|;}%W3+7K}hn1rB8At2Bo^9VXm*Q%3xIC
zN(*-x@<ZGKXo`ojm#uBxz8?)xHe!!7)LsGAA%{Ehewu0+p#)0Ls&SLJ9Qb0x@*51p
zM6PKSArs#?-A5;<11q8&z9<L6_aHQ%E;||c<MjS12i6@|vH^+yCyCzo{rmSLkWbO$
z*ca!r-7916(4Qn=B8C=Z!b6OJH@AQO`w0@gmbwQpNCNs^zkcl#Etd+PXi@Fp4wmBS
zyLx{CQ0!`qb~NJzdSvr0sj8M^D<?@qO-Cp4xDtE8IB;<0QTGC!oX&{FeQ`&RrX_eA
z;md!jcTU`igEkO&K@!8@a%bD=)2DqPBsQgig4x$zYL+L-Z0hfXX$yC!t=fy)w*i0%
z(pT?&kacHG>$W>Cx&Q8JiT_(SU<2B{X}T$om$}-vN~}eyt?czk0I_v!N8Q&nbCua$
zlRzx}7+IJ&$dn5MD|{mE3lpvZUZy5{zTMv#tR*Xj_t{&@<*M>oL37vku4Hyw*QA6Y
zX|9c7!9H5o=k*)e8AgnR9Z42p^w_ucbuWZAXKZoQ-Me$PgsJLiSHGhNy7y8pMFEV>
zK>#pu3L76HjHWPOJHr?MV{0pQvECIpeU_MlM9@8jH(ttyDtiNXW~I=%^<3NmR#LWJ
z812p5w?PJ`RotQavu~iUSERO<R@c=ZFXklYV!MB*%ta~qIt#~fK%r35?S6M)a>qxY
zM@4X@xJU3sCh{lHAg~vM!K^*3+_XeMMgN`*@OE=sHo(&YF$6pAF6I>GAc!R1Nx9to
zMVk7=;AHKTvKCmGoYrl1@*tLAg~rAYqqx=tS@rrcW+u)DmHJUpNB+2a2ne3{AY~al
z;G{&KTu;9y2?%y#iT5SgtB9gRB_286k7}h_9C{60>YPFHFg5~H_8;kQx}(FYZ6!ZO
z*3?_JA83p}VNs3%ic!)?I-QyTlZ{Z@(5MU7;X?7Qf!y<h-I0$-!1JXj)gKI=7uOar
z)7OUtg^`Aat_gCMEi*|-DUX17y9^SEJmNutpDdMW>Pkr|Yc7NDzi1ad_!@8mT$9WJ
zzyJcC1dr%TSi+DL<5Ffhi<4vA7=Ufx+eA1Fntg$cJrx{2rF@3*u~fdPWEbPFSt7Bv
z)f!B_OuN`Z|9^44c=LqCFh(pht)n1$<j6UorgU=8p^b|EHTBq#@j@nW_e|<gQn5mn
zE8IPgW_FF|8pLm*RIz=3P_*HR%lgB~o-_k6H7D*eNPR*=!l=Fv)008A2|iqQneVhc
zjxDoS_wn>e#(*a(6PX$BrOdzkeq+}SE7P!d(rdc3iI7KRW>;_eb}3I{H|N$AFl(ix
zHie9s?7&ZQ6MKY@<Jr6u26WYKhWr}kL~i3rvH+M??xHQO#4Vi7*YZN7><WwJF9JEK
zaBU<dBn%nTCf(FI_eHQm!4lV)qmV9>{(c8bc7oj`QFXCkEySQUj%2zMV;81BVh8I!
zI+G9E%nFOpIe*~yzC}!KbfgUzf=kC$U)F61{-CVzUX`G~Ys(TYN<6p>U)W@#&|vH+
zs1}<i<T;BsbC%(>LiSMzt``Djwjsw}|AzTz%YMIknRXz8m7qs>TT1z)dvO#<F3>KL
z%W<X|k(|i(2#4s$ribj&y5#MD#<7BP63ZQT{%?g}c>AGl<C)_ZZyvc{SZ`AvIr7M$
z+&~p?^e-QLCC+qRa=<oRo7yMpetmgld|~~nz*lFz*`>UF1m8=ael~ILm+jBy^k(nx
zei8^S8C~jVF+L2EeR>o%Vl@4PJ4X<CB!|;6*v#%Nw7pTYWcRs`&UFq0)v;KlA<2gt
zg!2sYD|>x3(*x6S`3pK9>xssm@*Ja=eBncp+X^INCU5~bO<$tcbyPJf`eF3Ei~{Y9
zVnS%>kHfO%h{M(V%*dx&w3s3mAr_zH&8Fk|2riO%x8!R!I4O}^2lI8|JAZ~xH)<#l
zcN$CHYQ|c1A)CMH-RJgIcob!SS3;Aim$hzS-5QEHKbExE%Yo&`L{V|AkDh#q-J){9
zaIJQS^=`Xn(>BM$xr4)63fr+9ly0WAG><J*vMJdE_=F-Pk_jX(@mLRqeJ0gRm4BIr
z!G3z|M6=B#W?H1!+r2%$ktM`K1lh>oLxITKsE(n1^U__lletCa_qgr2_swH=*@Z0H
zaD7;^^WRn-N0`yT8w;hndGs@i5M=89zCB86ChzQ9cP=$pPG1?7lBGP|UNNM)J#0i%
zV_PInzY2sYa(c!{<TXSxp8u@Ol=~MupPNncs6AHKy6hxm*yn$CMn(b0+W+t`HG@9e
zbCE`or*A??XO(7{iH7sZzIqPGQ?`ol)`W7bho_?-T!<7`GF#Z(?Lj#G3@=s?)fM67
zej$>&$Ryv_da5o^Gp+HQdbnBQf=A}+d0~_h<8ddR+5GwMHaZtt@<juMVNPE_m{1;d
zZuMpqk(rYp*WkrSZF8R|D1oSK{>NW+ToYEMi=UR4Ix-VQ+st<NmS<(N@;#5&9nD<X
z9utegzSf|;5hHb9%d;oL<gJYr-xbO}E6ZS2Bu8lH!#c8$Al+kUXFA<cy+9Hq47J>j
zwq`I9GfRP3s=e`-teSdAb;<X1?om8_nvXU>8<-bZsMG0Z#*krW*%d2nmsR=}V^-ck
z<K&z%ZaeaI0)DkHS-4NO+YZlTBz5sCM?#R|UuCy%13;qpzF}3<P%=VP_u*>OoUnt5
zgB<Fe8h!YB*S&kc-dx1^-#0(Deb>BUW7TuEN%^St%ng63mwOqtGR2c_FE{U2Uo)=`
z%|1U-rAo9ktR#CkI!nuC;}HNAH!_ZUQ-`@_9;TD+FwQd1LvajZ><g*pF^d)iWBhYV
zw2*n&!qKDc=(H~gryGvF$#I=?h%SQY4@H4H5vrm+V)Vk3+&>oS0sDJW_XIQF3~H8s
z8L^<-Y(oSM=Ovlrj9&0F2FeZi7|Wni8IpU0{(i?ywY5Ti`zIn}yFhxWddeH(lDA(c
zFqKqRg-3_XQx%?39)`^Kci`0_M6WCGqLjEl1-{DJ*BK>{Otr9`$3wAs4API9{VN3@
z?48Yzt;ASAJ>+=r8}*rmD7wDjhHY@F%B4CxIA4gAP<%S;hG&5q&RgHc?mcGRc<UDa
zbWYDIx;fdH#ImD*p{HwD>+q5&Wq45`k!Fin&|t`VeHR|KU~uEqv4EJH<>@lj`#BgR
zRPr62|Fj4-LWDy0lsfCPpKuuZ)_O>?^SYQ96Z^Id!p`I)ZWHI0-F8gLRw!$(b^?Lh
z?|{@JM2zUW{s&<k8qTXO`AIb|3&P7nNuI4|kF;|>gbl2-K(WV&M1RF7Dr;ndhjv%h
zCoaYu^j(@J_a8E*<I*eP_s_*>A8Tw1n_}_+zT`Vm1^Oj+2m&Sl43ikt{<==<7tH(H
zj&+tp>!AnRo(igAd`^dGgvI@&1bEJyl6@U`mIt;*#0=|YK7FLFlgNmDL7KepDT-#q
zAH(x!6*s1mJkEXA+kzs+`U4J_-X%^8weM?li*t#y?l%r^0d)f?&iP-8|9o(vptvI|
zS53dq%g^@W1+#?J=52Wgg*r<=9%9}D)$NfzB+6GUm3y&naGkn^6~tU+vaj(M!!T(=
zTp_(UHcJwO!hQ>&X&+hs6Z-sBYeV-*As$#?>y)-2y)a{C_HWdoATy~yf&%{>1Yp|4
zxG29Sz?j7U|Am88Re*rB!*zW<i~rTrKh8xlb!U#52L(&WGlJjO4Q}bzU2%y04;7j@
Ac>n+a

diff --git a/reference/ggplot_sir.html b/reference/ggplot_sir.html
index f2eb57b3..8cbb640f 100644
--- a/reference/ggplot_sir.html
+++ b/reference/ggplot_sir.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -413,8 +413,10 @@
 <span class="r-in"><span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">age_group</span>, <span class="va">CIP</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
 <span class="r-in"><span>    <span class="fu">ggplot_sir</span><span class="op">(</span>x <span class="op">=</span> <span class="st">"age_group"</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="op">}</span></span></span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 6 rows containing missing values (`position_stack()`).</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 6 rows containing missing values (`position_stack()`).</span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 6 rows containing missing values or values outside the scale range</span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> (`geom_col()`).</span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Removed 6 rows containing missing values or values outside the scale range</span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> (`geom_text()`).</span>
 <span class="r-plt img"><img src="ggplot_sir-8.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://ggplot2.tidyverse.org" class="external-link">"ggplot2"</a></span><span class="op">)</span> <span class="op">&amp;&amp;</span> <span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
 <span class="r-in"><span>  <span class="co"># a shorter version which also adjusts data label colours:</span></span></span>
diff --git a/reference/guess_ab_col.html b/reference/guess_ab_col.html
index af9c9707..bfa1d465 100644
--- a/reference/guess_ab_col.html
+++ b/reference/guess_ab_col.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/index.html b/reference/index.html
index 73bb249b..6b96174b 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/intrinsic_resistant.html b/reference/intrinsic_resistant.html
index dc4caa37..b144aae9 100644
--- a/reference/intrinsic_resistant.html
+++ b/reference/intrinsic_resistant.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/italicise_taxonomy.html b/reference/italicise_taxonomy.html
index b6c90377..b3483af7 100644
--- a/reference/italicise_taxonomy.html
+++ b/reference/italicise_taxonomy.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/join.html b/reference/join.html
index 76ea25b9..68718a6f 100644
--- a/reference/join.html
+++ b/reference/join.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/key_antimicrobials.html b/reference/key_antimicrobials.html
index e05007d1..c3019554 100644
--- a/reference/key_antimicrobials.html
+++ b/reference/key_antimicrobials.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/kurtosis.html b/reference/kurtosis.html
index 9c509bf1..fc01b376 100644
--- a/reference/kurtosis.html
+++ b/reference/kurtosis.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/like.html b/reference/like.html
index 6f0b7907..5a0083f6 100644
--- a/reference/like.html
+++ b/reference/like.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/mdro.html b/reference/mdro.html
index 2c39511e..dde1cc0d 100644
--- a/reference/mdro.html
+++ b/reference/mdro.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -284,30 +284,30 @@ Ordered <a href="https://rdrr.io/r/base/factor.html" class="external-link">facto
 
 <p>Custom guidelines can be set with the <code>custom_mdro_guideline()</code> function. This is of great importance if you have custom rules to determine MDROs in your hospital, e.g., rules that are dependent on ward, state of contact isolation or other variables in your data.</p>
 <p>If you are familiar with the <code><a href="https://dplyr.tidyverse.org/reference/case_when.html" class="external-link">case_when()</a></code> function of the <code>dplyr</code> package, you will recognise the input method to set your own rules. Rules must be set using what <span style="R">R</span> considers to be the 'formula notation'. The rule is written <em>before</em> the tilde (<code>~</code>) and the consequence of the rule is written <em>after</em> the tilde:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>custom <span class="ot">&lt;-</span> <span class="fu">custom_mdro_guideline</span>(CIP <span class="sc">==</span> <span class="st">"R"</span> <span class="sc">&amp;</span> age <span class="sc">&gt;</span> <span class="dv">60</span> <span class="sc">~</span> <span class="st">"Elderly Type A"</span>,</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>                                ERY <span class="sc">==</span> <span class="st">"R"</span> <span class="sc">&amp;</span> age <span class="sc">&gt;</span> <span class="dv">60</span> <span class="sc">~</span> <span class="st">"Elderly Type B"</span>)</span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>custom <span class="ot">&lt;-</span> <span class="fu">custom_mdro_guideline</span>(CIP <span class="sc">==</span> <span class="st">"R"</span> <span class="sc">&amp;</span> age <span class="sc">&gt;</span> <span class="dv">60</span> <span class="sc">~</span> <span class="st">"Elderly Type A"</span>,</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>                                ERY <span class="sc">==</span> <span class="st">"R"</span> <span class="sc">&amp;</span> age <span class="sc">&gt;</span> <span class="dv">60</span> <span class="sc">~</span> <span class="st">"Elderly Type B"</span>)</span></code></pre><p></p></div>
 <p>If a row/an isolate matches the first rule, the value after the first <code>~</code> (in this case <em>'Elderly Type A'</em>) will be set as MDRO value. Otherwise, the second rule will be tried and so on. The number of rules is unlimited.</p>
 <p>You can print the rules set in the console for an overview. Colours will help reading it if your console supports colours.</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>custom</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; A set of custom MDRO rules:</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   1. CIP is "R" and age is higher than 60 -&gt; Elderly Type A</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   2. ERY is "R" and age is higher than 60 -&gt; Elderly Type B</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   3. Otherwise -&gt; Negative</span></span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;</span></span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Unmatched rows will return NA.</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>custom</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="co">#&gt; A set of custom MDRO rules:</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="co">#&gt;   1. CIP is "R" and age is higher than 60 -&gt; Elderly Type A</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co">#&gt;   2. ERY is "R" and age is higher than 60 -&gt; Elderly Type B</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="co">#&gt;   3. Otherwise -&gt; Negative</span></span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="co">#&gt;</span></span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a><span class="co">#&gt; Unmatched rows will return NA.</span></span></code></pre><p></p></div>
 <p>The outcome of the function can be used for the <code>guideline</code> argument in the <code>mdro()</code> function:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>x <span class="ot">&lt;-</span> <span class="fu">mdro</span>(example_isolates,</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>          <span class="at">guideline =</span> custom)</span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="fu">table</span>(x)</span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       Negative Elderly Type A Elderly Type B</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;           1070            198            732</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>x <span class="ot">&lt;-</span> <span class="fu">mdro</span>(example_isolates,</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>          <span class="at">guideline =</span> custom)</span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="fu">table</span>(x)</span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co">#&gt;       Negative Elderly Type A Elderly Type B</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="co">#&gt;           1070            198            732</span></span></code></pre><p></p></div>
 <p>Rules can also be combined with other custom rules by using <code><a href="https://rdrr.io/r/base/c.html" class="external-link">c()</a></code>:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>x <span class="ot">&lt;-</span> <span class="fu">mdro</span>(example_isolates,</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>          <span class="at">guideline =</span> <span class="fu">c</span>(custom,</span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a>                        <span class="fu">custom_mdro_guideline</span>(ERY <span class="sc">==</span> <span class="st">"R"</span> <span class="sc">&amp;</span> age <span class="sc">&gt;</span> <span class="dv">50</span> <span class="sc">~</span> <span class="st">"Elderly Type C"</span>)))</span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="fu">table</span>(x)</span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       Negative Elderly Type A Elderly Type B Elderly Type C</span></span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;            961            198            732            109</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>x <span class="ot">&lt;-</span> <span class="fu">mdro</span>(example_isolates,</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>          <span class="at">guideline =</span> <span class="fu">c</span>(custom,</span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a>                        <span class="fu">custom_mdro_guideline</span>(ERY <span class="sc">==</span> <span class="st">"R"</span> <span class="sc">&amp;</span> age <span class="sc">&gt;</span> <span class="dv">50</span> <span class="sc">~</span> <span class="st">"Elderly Type C"</span>)))</span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="fu">table</span>(x)</span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="co">#&gt;       Negative Elderly Type A Elderly Type B Elderly Type C</span></span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="co">#&gt;            961            198            732            109</span></span></code></pre><p></p></div>
 <p>The rules set (the <code>custom</code> object in this case) could be exported to a shared file location using <code><a href="https://rdrr.io/r/base/readRDS.html" class="external-link">saveRDS()</a></code> if you collaborate with multiple users. The custom rules set could then be imported using <code><a href="https://rdrr.io/r/base/readRDS.html" class="external-link">readRDS()</a></code>.</p>
     </div>
     <div class="section level2">
diff --git a/reference/mean_amr_distance.html b/reference/mean_amr_distance.html
index f4c7c433..0d38ecc1 100644
--- a/reference/mean_amr_distance.html
+++ b/reference/mean_amr_distance.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/microorganisms.codes.html b/reference/microorganisms.codes.html
index 0c2eb8dc..894dce2f 100644
--- a/reference/microorganisms.codes.html
+++ b/reference/microorganisms.codes.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/microorganisms.groups.html b/reference/microorganisms.groups.html
index 076c51ae..062f810f 100644
--- a/reference/microorganisms.groups.html
+++ b/reference/microorganisms.groups.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/microorganisms.html b/reference/microorganisms.html
index 6a6eab17..882b3af2 100644
--- a/reference/microorganisms.html
+++ b/reference/microorganisms.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/mo_matching_score.html b/reference/mo_matching_score.html
index f56701b6..818b4822 100644
--- a/reference/mo_matching_score.html
+++ b/reference/mo_matching_score.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/mo_property.html b/reference/mo_property.html
index 42632038..5b396b20 100644
--- a/reference/mo_property.html
+++ b/reference/mo_property.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/mo_source.html b/reference/mo_source.html
index 869aeb09..2d7194de 100644
--- a/reference/mo_source.html
+++ b/reference/mo_source.html
@@ -12,7 +12,7 @@ This is the fastest way to have your organisation (or analysis) specific codes p
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -200,53 +200,53 @@ This is the fastest way to have your organisation (or analysis) specific codes p
 
 
 <p>Imagine this data on a sheet of an Excel file. The first column contains the organisation specific codes, the second column contains valid taxonomic names:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>  <span class="sc">|</span>         A          <span class="sc">|</span>            B          <span class="sc">|</span></span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="sc">--</span><span class="er">|</span><span class="sc">--------------------</span><span class="er">|</span><span class="sc">-----------------------</span><span class="er">|</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="dv">1</span> <span class="sc">|</span> Organisation XYZ   <span class="sc">|</span> mo                    <span class="sc">|</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="dv">2</span> <span class="sc">|</span> lab_mo_ecoli       <span class="sc">|</span> Escherichia coli      <span class="sc">|</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="dv">3</span> <span class="sc">|</span> lab_mo_kpneumoniae <span class="sc">|</span> Klebsiella pneumoniae <span class="sc">|</span></span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="dv">4</span> <span class="sc">|</span>                    <span class="er">|</span>                       <span class="er">|</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>  <span class="sc">|</span>         A          <span class="sc">|</span>            B          <span class="sc">|</span></span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="sc">--</span><span class="er">|</span><span class="sc">--------------------</span><span class="er">|</span><span class="sc">-----------------------</span><span class="er">|</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="dv">1</span> <span class="sc">|</span> Organisation XYZ   <span class="sc">|</span> mo                    <span class="sc">|</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="dv">2</span> <span class="sc">|</span> lab_mo_ecoli       <span class="sc">|</span> Escherichia coli      <span class="sc">|</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="dv">3</span> <span class="sc">|</span> lab_mo_kpneumoniae <span class="sc">|</span> Klebsiella pneumoniae <span class="sc">|</span></span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="dv">4</span> <span class="sc">|</span>                    <span class="er">|</span>                       <span class="er">|</span></span></code></pre><p></p></div>
 <p>We save it as <code>"home/me/ourcodes.xlsx"</code>. Now we have to set it as a source:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">set_mo_source</span>(<span class="st">"home/me/ourcodes.xlsx"</span>)</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span><span class="al">NOTE</span><span class="co">: Created mo_source file '/Users/me/mo_source.rds' (0.3 kB) from</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       '/Users/me/Documents/ourcodes.xlsx' (9 kB), columns</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       "Organisation XYZ" and "mo"</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="fu">set_mo_source</span>(<span class="st">"home/me/ourcodes.xlsx"</span>)</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="co">#&gt; </span><span class="al">NOTE</span><span class="co">: Created mo_source file '/Users/me/mo_source.rds' (0.3 kB) from</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="co">#&gt;       '/Users/me/Documents/ourcodes.xlsx' (9 kB), columns</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co">#&gt;       "Organisation XYZ" and "mo"</span></span></code></pre><p></p></div>
 <p>It has now created a file <code>"~/mo_source.rds"</code> with the contents of our Excel file. Only the first column with foreign values and the 'mo' column will be kept when creating the RDS file.</p>
 <p>And now we can use it in our functions:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">as.mo</span>(<span class="st">"lab_mo_ecoli"</span>)</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Class 'mo'</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] B_ESCHR_COLI</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="fu">mo_genus</span>(<span class="st">"lab_mo_kpneumoniae"</span>)</span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] "Klebsiella"</span></span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a><span class="co"># other input values still work too</span></span>
-<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="fu">as.mo</span>(<span class="fu">c</span>(<span class="st">"Escherichia coli"</span>, <span class="st">"E. coli"</span>, <span class="st">"lab_mo_ecoli"</span>))</span>
-<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span><span class="al">NOTE</span><span class="co">: Translation to one microorganism was guessed with uncertainty.</span></span>
-<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       Use mo_uncertainties() to review it.</span></span>
-<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Class 'mo'</span></span>
-<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] B_ESCHR_COLI B_ESCHR_COLI B_ESCHR_COLI</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="fu">as.mo</span>(<span class="st">"lab_mo_ecoli"</span>)</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="co">#&gt; Class 'mo'</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="co">#&gt; [1] B_ESCHR_COLI</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="fu">mo_genus</span>(<span class="st">"lab_mo_kpneumoniae"</span>)</span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="co">#&gt; [1] "Klebsiella"</span></span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a></span>
+<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a><span class="co"># other input values still work too</span></span>
+<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a><span class="fu">as.mo</span>(<span class="fu">c</span>(<span class="st">"Escherichia coli"</span>, <span class="st">"E. coli"</span>, <span class="st">"lab_mo_ecoli"</span>))</span>
+<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a><span class="co">#&gt; </span><span class="al">NOTE</span><span class="co">: Translation to one microorganism was guessed with uncertainty.</span></span>
+<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a><span class="co">#&gt;       Use mo_uncertainties() to review it.</span></span>
+<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a><span class="co">#&gt; Class 'mo'</span></span>
+<span id="cb1-13"><a href="#cb1-13" tabindex="-1"></a><span class="co">#&gt; [1] B_ESCHR_COLI B_ESCHR_COLI B_ESCHR_COLI</span></span></code></pre><p></p></div>
 <p>If we edit the Excel file by, let's say, adding row 4 like this:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>  <span class="sc">|</span>         A          <span class="sc">|</span>            B          <span class="sc">|</span></span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="sc">--</span><span class="er">|</span><span class="sc">--------------------</span><span class="er">|</span><span class="sc">-----------------------</span><span class="er">|</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="dv">1</span> <span class="sc">|</span> Organisation XYZ   <span class="sc">|</span> mo                    <span class="sc">|</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="dv">2</span> <span class="sc">|</span> lab_mo_ecoli       <span class="sc">|</span> Escherichia coli      <span class="sc">|</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="dv">3</span> <span class="sc">|</span> lab_mo_kpneumoniae <span class="sc">|</span> Klebsiella pneumoniae <span class="sc">|</span></span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="dv">4</span> <span class="sc">|</span> lab_Staph_aureus   <span class="sc">|</span> Staphylococcus aureus <span class="sc">|</span></span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="dv">5</span> <span class="sc">|</span>                    <span class="er">|</span>                       <span class="er">|</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>  <span class="sc">|</span>         A          <span class="sc">|</span>            B          <span class="sc">|</span></span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="sc">--</span><span class="er">|</span><span class="sc">--------------------</span><span class="er">|</span><span class="sc">-----------------------</span><span class="er">|</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="dv">1</span> <span class="sc">|</span> Organisation XYZ   <span class="sc">|</span> mo                    <span class="sc">|</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="dv">2</span> <span class="sc">|</span> lab_mo_ecoli       <span class="sc">|</span> Escherichia coli      <span class="sc">|</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="dv">3</span> <span class="sc">|</span> lab_mo_kpneumoniae <span class="sc">|</span> Klebsiella pneumoniae <span class="sc">|</span></span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="dv">4</span> <span class="sc">|</span> lab_Staph_aureus   <span class="sc">|</span> Staphylococcus aureus <span class="sc">|</span></span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a><span class="dv">5</span> <span class="sc">|</span>                    <span class="er">|</span>                       <span class="er">|</span></span></code></pre><p></p></div>
 <p>...any new usage of an MO function in this package will update your data file:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">as.mo</span>(<span class="st">"lab_mo_ecoli"</span>)</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span><span class="al">NOTE</span><span class="co">: Updated mo_source file '/Users/me/mo_source.rds' (0.3 kB) from</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       '/Users/me/Documents/ourcodes.xlsx' (9 kB), columns</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;        "Organisation XYZ" and "mo"</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Class 'mo'</span></span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] B_ESCHR_COLI</span></span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a><span class="fu">mo_genus</span>(<span class="st">"lab_Staph_aureus"</span>)</span>
-<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] "Staphylococcus"</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="fu">as.mo</span>(<span class="st">"lab_mo_ecoli"</span>)</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="co">#&gt; </span><span class="al">NOTE</span><span class="co">: Updated mo_source file '/Users/me/mo_source.rds' (0.3 kB) from</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="co">#&gt;       '/Users/me/Documents/ourcodes.xlsx' (9 kB), columns</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co">#&gt;        "Organisation XYZ" and "mo"</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="co">#&gt; Class 'mo'</span></span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="co">#&gt; [1] B_ESCHR_COLI</span></span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a></span>
+<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a><span class="fu">mo_genus</span>(<span class="st">"lab_Staph_aureus"</span>)</span>
+<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a><span class="co">#&gt; [1] "Staphylococcus"</span></span></code></pre><p></p></div>
 <p>To delete the reference data file, just use <code>""</code>, <code>NULL</code> or <code>FALSE</code> as input for <code>set_mo_source()</code>:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">set_mo_source</span>(<span class="cn">NULL</span>)</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Removed mo_source file '/Users/me/mo_source.rds'</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="fu">set_mo_source</span>(<span class="cn">NULL</span>)</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="co">#&gt; Removed mo_source file '/Users/me/mo_source.rds'</span></span></code></pre><p></p></div>
 <p>If the original file (in the previous case an Excel file) is moved or deleted, the <code>mo_source.rds</code> file will be removed upon the next use of <code><a href="as.mo.html">as.mo()</a></code> or any <code><a href="mo_property.html">mo_*</a></code> function.</p>
     </div>
 
diff --git a/reference/pca-2.png b/reference/pca-2.png
index fe3104e84115113424ff0babdcc950239efee539..c8634a6e302fcdd917fe9f9c33ebd2f00d9c2544 100644
GIT binary patch
literal 88574
zcmdqJXH=72^Di7k1Vz9`Zz>5@dQ++j2%$=^0hHc*uZn<;Vt~*=B!G0Jg&vB4)JW*P
zmk@gIychTVJpXmhdf%__hjV7F%ixt=X3xx?`OWMNpI)oVlii}b1p<M{pbD}YAP|u^
z2t@dn<Oc9&9FegFeB5}eBrgkm0(2}>8w7mZbXL%J1A!RBuO5P^#cc}^=phIy`$Ee*
zWo^>OKh+}j^73%GMh%{gdo_CRAS)yECG_Wyhn&411<3{GcZgihbNOtZ6B)Ae36j5J
zlwX5CziW+uFUXV0Cl>ir8vWkP;v2yej?l*roee@391b}6Ldxlh|K-!1bsJxJw!_$7
zdGYeR3)8dZhE05p^e}Gcsn2q!2lO8v|9}3cWYds0S02k^f!!?1(`qPUf=biR8C*@e
zHsAc38u&b*qjk8+N<6=<78=NPD@vL9u;Pcv;rjFXal9A%dQSxb&}JljONAH&V%OpS
z7yuD>F_B8X8ljQg^ak(M4*<n-SayIw!78quyzzh2FS&4%q02c+zSf{~oef3xs}{ix
z{2{=6Yb3nBY2^BpSFb?O>vbTI>7ilq*$vyMJuzd=r)k_`o;8Y2BL^`re$GFKrpN6~
z!*vwL*l{<ZyWo12+Do@S8~7O5<H1I~GL`{4?^Tixqm|F9tjm$+61$*+mO;2V_J%Xh
z(lMsf%>T>*YP@q2u~X&^J8pD+=zD9J7w1uz{j+#oGO&j5`~dN7Kp@!f42sPlWY7%a
z{Bm*@y7O+?tI};Vh~_yugg<hs!UB9=7ZvzwE$o!=-vMb}E>dk-f+y<<5A|7aGX#<O
zyseK`VVxK$ra$$VQNnrlqV*u~`Q`Z@zpLoP|8POq9qbkJdSLmvhy%SfS|f1uok{?j
z2lp6S(MgP8%{9Opk{)uCTX@O2e5}F!(!lz_Ur}x(e-nCvW&Tp+V@dHfQ_CSA9Pk`#
zy<guk^|~(VUv5A*MmI>j3x8sWJ-;K?_x;?}(Q2H`MF$Xt6Yaizw$0~^_50-N;sb}i
zm6ULu2QWYHPj)xl80zf|GyF@&(=&XTuQYrclxzy<C}2=d4s)rB9SbaqfJ<raoix8F
znD<{4P2z%Z;kx9C@k&Nz;_cg)9O#snK?jJ#yZ`dg$itaKTgOGZY%=*y%7ml5+K+f_
zPe($@GvdVfz%)jb8g}{V-ZHTpLu*A=C+6W)+J9$#ZuyfG7-EDh56r0H9r(Sn`#V{E
zgQ6jEN%A#}CUI_LXeV*%xxVgRUCnUy<g-W!(0c<jwIg*6=(R#f0GQth^}eyL=Mj13
zCS&<VfyX!+ISummikv?tD4#Z*lD}dwz?94w1S;Vjn<^z)eCrj-!Z`PjE@`g+V}B-E
z5^e`fiy@tiK3W?cZ%_FL=4n>{X)r>5?W&_FZ2^WA52;u8z7Qd^7yMP<_d3e#=OzU(
zw5d3WHvy>eHJ5RSC*QDreZ`irLXGL2)5-oYUj~_gEB6CBe>g(~0{MkdlbWzuZ%L*5
zm#rM5p<)&whkH<Fg!{z9K|Y%Qck9zzCikK7*3OnYo(eS$Kc`#aOA2C84edUULHH^J
z#+s{%jjHe}WEB4&Zh@(2z-aYAC{euo7-)R&L6Hd-BfQDAiaP4k^gc6ZJMB@Z$&YF{
z^;4$#`$sYV$?7sSVO8MEzI~MdBSF3Sk-o7Trx#Zo-=Gz|TGiCdF#JMq&RcHw+h|9i
z8+<DBtN{Bo7@r=q7YJ4I+6k=f`X506y-e?{717pdTo7ZHp*1R4K{)n@-?=;W$)x#*
zo#YSawMe!&3hrSJw8U>waJ_cOZp-E*e+X)%=&PBP)fV~C`IR01A4F@n=~u6TOuY;m
z{Er`18*Q+_ADEp@LfKOHMqUqJ2Q8Z7uvzJDhu{xeM>pA0oR?n@69O+sOD&i`^E17%
zERJH9zL*ZLVFEQ?JQ5rr0yS<dY=kF|?!#lj&=@dacr*$6mO7MXb=vm;JHOq%+`VQG
zRa1Bj7}MI_H~;LLf26g>aAl<b5WD7;LH|Rqv#$*EANsC*ck61u0Q5ZZs{20_EFjl-
zwfC;b;&bp-D7d1|2UnZwAByGpKVx7mz=<?Aw7_2Qsy_YBHJ=#<8U4JG&|x77JIs-m
zu3m+0YB>JH|HpYB2w$(Gd2rGB$)h^nFY*gQoLx3TVNzg;zfcu$A2;WX596^`T8DdX
zmOB|m|3)d$i0+-Ox4Qa=N^D=%`ZruQW)+m)qWtvot?}mknF+Lv4=B`PoS*OP+%%hr
zm$b}w|M}$#j{tN)biHl_GWF~tK}e;&U5MfCOaC^>0#PUv^7}(w|DKRMiG4GRUys)r
z;$slJw5v7$Dl9mFAi3a8PW>MCO^e%7yCI3ZmU;OE<xqSbU*0&pdk4JoU3S|#C~$5>
z(uniliAvNS&$O!McWE(GQBrs)ne@nc9QwI@t=4LInLU=)NhZIRaqqu_(-H7`8i=U0
z84OsXN^Bnv`wh^MCeFq^qQ&!!PwxN6W=_Sf8LyQKQHOU)sPC;c8YJXYm*<G%TaYes
zwJ5QFCpDdxZ~T&q==c+pdc+kAUNUH)zx5wGI}ijGZc|kC$OFS+{k+UYkXBS*Blo9c
zgyB?K?f<C4<9gkSX3dWVw)KLb`r=*w586%k6^m<)@Aigc_6d;_CkbDQ6FZ2D0i1V5
zrkApfUoN!%X!i|w<dIcV$0+OBG__|}^VLnK{m@Pbt$Bzq=x$vmuK#a)X`p?oWxG^=
zR@$0t6wZw@(c9jZPJ2fzboSBF)5DQO-<@*C)9zJC7}viul<;=m_8?$)@*L5`9Cx+r
zX4@#sl(TTJ{M9nx+AS!36k|U3afOabnfK3HZl_E<H~nhTf2B$UNHvjhXTjBk-%;hO
zLEM+^hg~Bd!DKC(Wm-^g$YerM5smS-*3x$iUT8u6e>UE2s%ujM-|z)NCa%`)#lB9e
zOBiN#M!`Wl<r>}rkGgy>aWDO~f=$Gpug0*;ipX+$`co0hnoD&{>Q3QKBoS-6gGblp
zUlYlTv%7=8ew@7Z3Yb7b`}PdrD<~>XbZU<Ub8h#C&-O`O9v=Gz^d1YO`8^N%DfcDe
zrBIl>if8Ngrs9JlXB;EE5Pl|}!6n`w8Iautdj#X(U=gqrz^TB~JV(DGJx32u$5RTu
zR0Qf-hn-|dhQ~9Ms1F+&s+de%nsGenu`Dm8$`?y$5=89~d4R8l$)RG*Dw@BH)ciuE
znml$d7HJZiGHEK$<M+$FwihbQ?`Z8>wyPqhpFJ=!Hn~54C+z&MEp_qcW&nUOujupL
zEyPW?$=TF>uPU#)Y2{zTxX;#8%a+z~PVo3romZr^h%Y7+K4|}01tx~ESk6k_k3Xc$
zI@x7oU=nOlC<?LPeZk0s>wlD;UUX~LK-_&)S7|uo^~&i9_vEPp)C8K(c{vuZ>>uxS
za2B2@r8nUCqvMjh=;^Gi&8YO6wF-ZmS`OE0vC68L?{IAKa@Gllx)kasO5Igh4&#s2
z{VLwMia?k4oC^#}^W!8szAS^&!8l~XHm+gk2sN6acHxpQ!mGw`x4(!yagb_|Jsz!;
z?IpJ<ri5ivinu}z0I`Rv40V1;48&u7e(ioxBF>cd3SHUefeOPN$#!I3I>?jgNWRSO
zTCB;yc+y^`B14o<<o=A_&8TGgP-I_`3}fd|Jo$`vZ`Kc(5c_5qmVD{3(y0?Z7I_D2
zUT2O;I!<)4$F%U&bNo@Is0i2nFczuoT(7CYxodYenn_NxkaRE6(fydHDNi2w>JHpK
z73!rxM>W}?w-XReB^R|xCOK&);~=k5HBG=HZK6RZdDaPox+K&1NpbrWnxjI&hNx;-
zR#fDR&2MLYQd5HeF6ukj640FZ-j-YaZYw4HGQZZ5hyROLd!57vH$2h}CC%#5#WPmA
z*EF{eUqW)J(r_KepID0;WAE#XZ@&=CI=+u_hn_$kTdS-~$2E3o;k{2h?BW9+YL0K?
zx#iRJ5cq=2l<JLWA^zXqv5XfByV&gW5wQ(b-4s5hoqV^JyeTlQx2d3`M>;ka7TAtp
z!MLC7-j`lXOdEc%2ZhETI>rom7}c)-Nz>=XN%!}<n8c0`4?c5zU+xd>Ys5o1%<c0S
z&y<%Do?XLKZRPt_|1K+d-Smc2BA;P&jC(%voA2z08rVATtJIjyk;{sKn#xD!PPpRK
z<O=(n8Yl(Zs3TrzF4W4qy(&*509?U>x+xHo!pkWEgHw2+maxn_izn(KFiqE$mFYbx
zOL-oB2+pFqZ7=OpZFP2BdwODn(1s!I^GT$;T!7b=Z-l8&v!IHh8l2*m`S{5|UMN2`
zuWS0mG@R~V<{E?VY#}~1hne<6pi9J?uHlaN!5lXamf_13KEBBwRw&yXcW7?^@xw9Z
zcyL6oLs`mu<beGf&*V%>8<FY2-SWvor~E2)_>(Y)mLXVvuDhg<-L6S*<rEvX_r!-k
z?9|-z7t#gJ8E4XudYOCyJ08L_v3Ya_J{om^H{25+cKph<dMUnMfS%BeOkXH+*!WKb
zv8Nz#Iv%-4b%XgtS`;N!X&QrUewNQeX>fop|8Q7QG47ae6CPi)6(5=YL^lSx{BlcB
zMq7+^z!MCGg+n|Tm$IYc3L0Ypi;-e*_53iw6F0yztZVi)>UZx6b-mk!p;tN8zY<uR
z)(b%?gFP6tth|>5ioTkcCc&3Yp1#%VkhUnZfOAFA@#1nFdW$74zQfNGdE=CG-G3k*
zEW2yCKBXqHLk&`4+P*>|_7uYpdZxIcP5U>+-H*@55t%p75q=A$)R3Ndp=nrluM69&
zP`^yP)MkoMC*ZE82kHJ@X-N>xN#ger;dY6BZjQM8jDeF<8_SVXMPbsujacMEbl$)Y
zNWG&KGVXJf3QioAj<by~VmK6q--~A|KUtg<7fDDhTeiD32uJ=#>5ny;h}l;u+IJ37
z3sw(u2N``vDc<@#$+qDe@b6+rOaOJ?3_AEpSjro5nqOWPXuRzrSZ#!YYB1Qi`475e
zLORl=EcJjrw5xK!3=x;G$DP9^@z~K{Wf!bLCkg!U1;+V2Y`m&9{B&5cGT-n(9@@2N
z`;lukXojne@d<Rp%E~o$e^U^Zt_bfcW<q8-O*0jBWD!F+Y9`ls8NFg_yJ1ZxdD8r0
zNvGfl&OsiSOEUnbRF8tan1Vj~T}-E)F5C*TnXrKiFN<Re8NU9HoF2|_-~Ux=tIc;B
zVHDJNYV_LoDlt!f>s2ZSQ{QyaYkd_n$*SKminRRvs3VmnR|yLNUgB||eWO?kl$LhQ
zFDL>kcPDBs47mH{GuIZ~<?7pesmqpXWHdr2E-QXG9>0IV5Qsi-SAnj-LC5WVFe2-N
zTbWq}d`;cA5t8H?)`JQv4skf~?WW67Z~^a=id`JkgbdkjsurfpThjdl`E0NMBj(17
zcfly-1o!YRDax8sr>UihH)@j95|XN=n_cAw*c&k$Bu$vx6<v-SWf+;XRT4+}PGNa$
z7u>hoLwE0J%6VnSX>W9+BqyCLPwJ(ku7YiRtfH^Br8LP#OiT;nvcD+GyM3)Asheuy
zrQ^H}9HrpP6T};&wZlu4FV(Ra#5q}XBExf80=?wW&p~QsQ$qrH|6o*C5kY|^|HEO%
zUK<Ql61B3jV*Qn0%E)_EDDdpaiOl8&=rt>X2Q~)D?VNN<<$Kd?6$T_3?8IFN?$i3(
zbZ*?I?fLdH^bL?{)c;z)`TxfH0y411hJ~|Tj9N`i%_=071vd|;gV^jWbhH>47|cae
z{U>Cbrpq*nf2^skwNgkD8SwbmRzV}uC9*9KT@SV4V-x4FY9q(Jt0d?jGM#R_J@vx9
zozcs`@Mzy>IaO3E>%YAy_^v8N|Iq)Ijv%br?<>XgoR=WCWnjdw9kD`%f`U+ZV!acP
zYI(>Q-2=sbk%e~`yaE0@Ozy!CdQCoYp3vMMa)frnbS=6T-e*%a5(T(xOncR6C?)k6
zw;5JL@_oYomKUUB@=^yoO%4+Vy++WHQh*v88Ns+N8QAYY>xQdj?358<{U4r!1zK-U
z3G_`)p5wsKys#Sb?-N>DS}AKAUR1`$iCv3<Pmx3f&lCTc3t$xUV)y2actkyZ;t7IX
zqdUw4IdRI+F1PB5@$j0o^Pa10vGesX2qbf5Z^}tRxc!VG0(N;uMn;c~2HfJ<r~7Q4
z<Q9^k*F1nqSK$jA^vCG?pc|Gz8YvlyNqcs&c^$OI@ucrRto`qqoRZM(AG^Kcn}zTV
zp1KK!G+v{slI6PH-Y>v7o5zd1LDi-to&V8CNz|hmM%fKVOC9w&Ee)Wm`VTdJzj}*4
zTjbr0HwR??@7v&WLc9N~Gs^$-a^U~_IUe7S*v1xkDLBf&ZvJbAufGOUuMBrXHLT;#
zy08VCPzSTHn#ccsXL|pd@prZ9r!eeoXbZ#*Do^I};@@u?bx6G5!7b}$ZkfbrL2!l|
zMllpV!v&11o&Paz6~O0#N)8kEbv5b?1Y*vTvHa5UX|;Mg6&gwmtE)h(13zx=H#<r!
zZLE|n6EC}^_?CB_{&a`eJOL`G8P6L@?Jb5*A!wspJfrrw&nAk6W~B55g`=uwF_uOT
zEjD7a3&-vc0*UgP6J3tcCHdxF^bHP`G7U~)BiH(Y30CN5b-Vt7bp0JhsVD*vu-6E9
zOGZVdSdUxbwF|>g-E)y339n#tczMm`!Eov${j%7=S4qcQHs`1;1X*pZEx^QiYi^MA
z>2=Xfuf*y*LY&u=2VRr-_r%0c{~U<va;huvi+TXaup}I)3&Ej+yof#Z4$Y1Wxugcu
zE}Q8GTL+>c!^nmC(B(L|)Wg9uy{q~YsPW-1Fhgag!vt35mAQw4j9ao%!z1cECKK0P
ztKs#?6F@Fu*9dqI+#IppUEq4O^9-V}1qM|lk2X4v7&;NCees!1u@h?W2&Z5(fUnIk
zz2Z}cuD=%yu1GePUt}_o@H**&3*kBwg)3PZrc6leOJ^y6Evu0AINYL|Dsdl4r|wP1
z9#SkA8Z;j*=h+G9sPn(|X4MUt$s;2*FmMeKV+V$W0XhHqh{Go#JZHyL*<u2WvxkN^
zlvz<%Dp`7ocmW+2h_F_W{+7OIhyFI#0Uv^Dme%IGUh&eGxm#>B_IIN4*$i1{iu+FM
z@VMFZMRR9sS$1)JdBN7-(exURk-Rr{?L@61iu;t3ky<0pzJMHlH0PVynFPJn^!Dq{
zF$jyuV{$7m{#x<qCJXm`VuWOM`EuMhdREcNqn(<GFe^mh;i~At?*srmR)z;tpXT~d
zV#_X{;MR|Yy*$2{&x7j?OWnZI@<~2X4+0;yzHGD$=$=XSfG<QG2hIg4c*dBYcTd%G
ze@i<qU-*K|r{<KFqyc0<zC1X1(byJofKVY8pq2i${X@TH3|)o`-}NDFIK=Tlqo8mD
zgJvYPZ6tYOcVCtm*=ORy4Tb<6U;%jrw%WQi+s~B>du3?oUrr>v!WjGkGYLzORkMUc
zw8Mpsh47!I4gqLHbL-skHE1n)NegO+&i1cLRy?4@<&9_IOybYX;1`BF_80ysY&fUg
z^|~n9I%7S*;XpRVT8&$oko~(`mF7q*G<dWf$)}m*QYMrc_&OX2C?yoNXos;juqTR|
zdH3_eh-UI~%9K?m0#S7|-k)wP<hA-<uEK6ZRRt4Q(`~`xTer;6(d(wvo@|lsS;iI;
zy4*eA@8~;WgzvUbVe9B{YS_zWA@;cnVB&y(IL#1kQ}mV5K*bu>?kCmidMNf6#|uy^
zp8P^az{8d?5XiMD+IA(e%&j?jY)s}3{={~$a=14aZhIkz9k1}&6&BBUeO0ZwVLf|h
zHw1P$3TbUu#%+ZyRhF@(O>2xg%_9&;E8Lpt23MT&s})oaOZe!+e>`|H)~B9FN~M!L
zj#m`i|7@#}$-Km$(7NL2t4--^faQOt)~<H)yE|!86ew2(ud~dw2Ck&*DD<N_A<WT5
zM`k#?>_T`pCT1=i)jiP@r}v}jR+-nivCT<8wxrpWyxwZ7@^(y30}qZHF3IjApD~$w
z{F?S^)o*9dIOyR|&l;xMxyTs;mXKeT8Tg~6sGeANRA6e?w&mP%cu3L$qzoKm7jkQh
zxf^)CF~0qrQxmHB<CHJUMTTTHZp8*>X}<KciS9nI?|UBttl5vXt(&;*i*@AfV*HAm
zP9s>repVONmk%$6C(DhU)EmW}s<Z?(OJ6|`6{>^c*R(o}6a%Z2WB`UnqPSC}A+^>U
z14K>DI_SHU0=TLx@eN`HW;VT)Tf)Nc7^~YJ>Xj@j8OOANt5jZV$;|#)DHv^XMZstR
z3u!C@4p2^niw!iiFMPC%gNLP(Od^{u!LWLvpl(tErzh9zrfE0|9pc<w10$yPO}@b?
zsEf`++~qo)n05^Evl7D>;ynRIo|`Z=EbfFt2e4D^^kVX8GmTyD@Y_g=sL`Yqmnu&C
z`YsdAzmJvR?GNk&a`9$g!=YlV+ul3BF@cE|K(gH!-2oH_8>iOyLy)rY8e~@uiUED`
zI(J#}c)5e3lHrgL91~jrA8S(>9fe26?Ah5&+S~m821nQbE&9DSiBQa4x>OL;Rix-*
z#v_EvWU!MOzTxgFpR%q()`1i0vKoxP+GZ->W@M{!ZvF*~O;`w(Dzx-T_>f2MFC3pA
zKqnES{)#EnNo*-?3GBhHfM_F}Y}QH6OXTvUd&NrU0c>T%;kLB2P$jgV@F`Hz43_*%
zTlXCOMA278qnK>SmnZhgx4i`S*0~?|Luu=59xpmZuRZMuWQ9Fbvi+oSrgu?ySuEsm
zJQUFTGtPEN>BJ8jzR!s?#>#0NeG@w6CAP8$I6X!5D2bS#hfXc)sL=!rb;S2dm1>DY
zZ|RIK_Gv09slDF@*JXc~do+?B_n`nR=M&n|4>nMR=W%hdi2@6ftj;ZTENKILNr~ij
zfVrZ;7j*k~p~FtkhQxHR)uGhV(F=yXquIjVIZ9%R*eE0yI?==lRj69}@+tin%X7u!
z(FV^DWF}-044f!YC}{_A@B3?&1|jyM&0DgL<ZPCRLL^=TYY%8^nNF<qhsn7HZO$js
zL}G|bxLf?v-M-jKSQp--pEQ|PpQ>fkYX9$D0PZLy4bm><gPN{kpC5&mH*#Lg?;cjW
zT*L2P0|ie;K<I+kli+cCjfi2KiIUEvT$!W`)8a3p=gD*&qh48DU#`te$b*SG#<T1Y
z4=VUM{6fvc6*e@E^4u3E<(73HFdZriVi4|e<~`VgR&1Qw?Ww0g1nAT>bF+&=+MiC?
zBo8;k0_QCz;Z#C_2g&k&Ns^UECqiGP0yH$o$69yMf732s)M<V5^sp@4p^Rs=Qn&LB
zuWXfg)s--uxb`dUH*?-d0&XYI{p}`Rqw7L#9^ycJnl+sMY$<whoz&pO`0-n-wx@T<
zdJ5H&+|B*g$KKf5d=mEq4k$|wfioe`k+{o8J^sduLpJ%Nwea!_yhcv|{FS2a)UU;(
zf)H?!)2v+aXssX}M4anVq8mrKaUc-zPROicp-`hr3u{p;^Z<}K<KK}9z-pYvr#z_K
zu`Qy9#*wzDycN9csY<%v!5RWVt?Lyjm4D<-LO1x=|6Dv~q|$x%ESHO_7j3CBANvd=
zx2vw`UXXR+z8O7i#utiwg^(0UvUt$4d(oK`w~j*XDH!kpdt}SLG|<&q2@K7a)o8O|
z(E$d<mn$tHwOd?+YObP56N6dMlS|2I)e7LWYw=w$^~jqg_y$Kn5k%48_1tfw&P%`3
zGI#CMp`7OMooBx!A%&-{2b)2Ik8Osc!27585WvuDUxePcL)9iUnva06cc;LdPpr^B
zrfNx&Sw}{1o`r6^1Z-ru<lDwe`TYI7IxxR2K+im3+yik@f$OQl@^+({9MXoWCqmeG
z+ix*zdd#epsoEs%W83mNbEv1DT7)3|dZjNb7dk?WlV}3))u6t9^Z8ePN<cV<k4!c=
zOC>J@b_bJhBwh0yjzF9_?PB_k?G6B+KbH)NF~8I%`AGczq+J8^r>O`Kz3Id5=3I*D
zozT{CwCm>13?Oe6?E5wjH&s_93Jxi1TLGsHn(7}p7jZSxk}i#I_z=#hPT!61V6yhs
zfhdh1{7X9P8~NNfQ~8&9^}Y`F!SCM>9h<G5Xo^WLGOTmH5VmtfpTF0_zJ*rABrh>6
zE22gxxXH950C1M4%*n((P+?e(N%h>@SfvMmE#rte*~ofxI9MBc5$mo}+#?mnXrhPF
z)$k;4fS#<0*{ptk!3EqMFeOGl%9eq(6j`Txjn0pbwOm&9e4^nJC->i0Rub5tuigAY
zD@n6hOx*8VT|b97Yf|y*@IXU+jU54iA~_2sX=?eP$3HjFp|bl~)Oj~_m)Fm=Zz7iz
z{xd7f76&cM5xVj?+gRF)TDz;8CP2->*c6on+}a2^UY@c$C<0rMkGTHKccY*JPV7qB
zm9GM_vI=$qd(4`;Ry2V0Bsz6*gl&X>K}!dmi$oY0yqxds3xXVC6o6trJ2a{aPwXOd
z;shC25UZ%(-!rW-DDqMon<+9`z&fx0gC6Jbh;pO9EH+IX@e}^fOYB45o>0Z~3gQ-i
z$MtP3Y%32$x%Q>)%BCvXSGNxI?BuH@9H(xi`O;m8u`}YSr1KIapM|Ayc5p#<=g4}g
zDwSc6Y~)&~$J%}>kukmJ*zXT%J**k$pyb!=cZT9!InLONx~BdPA9<R8)woP9Nae4n
zsIkkujOgMiIUDOFR`l&OLMy6>N(gw3eL25q0!*y_nxOZ)NlxHu0GG6%*F1BjB=az3
z+5$4B)0g!&5HvaN^VZwQYQ#M8%GJiw@<hbid`+HO+}MRDEg&=;=)~nEA0C=0ok+uN
zA!PCHVTq24w#_N`P`7e~F=_XZ#0w|iciuS{CMIzTY$vv1Fwd&A0^)42jBigW9-h`f
zt(L}*ofD@PH0%`o!z|$1RP#g9KM&8AESk>!Ii^gDP=D%QX;`}UpQ&r$fc3+qJv>CT
zE;xQa<<hHD#fta%7eKX_lB}7~RJQQ(X@8u`_!E4IpxK&JOhpmTxoqiW`B~uIa3wlc
z99UF^0!vB;gsU<waX{H#j{vWiZ#Sd>0K!Nc&iV$&R>4q}aRF@E{X_Sw0#>b|#n`S5
zw1Q_6akIMSV5|aqI+2@E`dDyGvY}li%5k!}P{8xj2%8L+w56IJ*c}_oJE+!_QTs{9
zQRW8rtNUGeFMe`mi5iLTzq{_16Q=xUu){qZ`KEKJK`&1VwU2^|$t-y-yp`Yw&ld87
zgJwI0phItV=3{#TwA9I7=x9$2nKxxA865~~wwlOOQ2Q!NAqv-M#}CCzZTth1kn(~}
z)2wA~Z<Q||TOEkPi(=Oj?bn_)WK^%Ob*P9kROFkj)jlvWFFIT*@LS84re?Mz{<H26
z&CNQ<-^HN0M>C{=D;`Yk_sANVTwXAjx#bigEGO7T_2E2m2H8+<`U7hlKnmjQNP~%y
z34@c}2)lsOIvZm9>Ze0pDu@o%fR$ujY6Q}@k5JUM5GhU?)uURw5T-e?9}hS7&wRYQ
zv?yvkRG-@ePp(kK!b00cy7w~<s&yy61qs6_CJTB$QC9@!mA)+Q*auE#oIHw^##Q%L
zmK9GlPc!VM(Ka_jK5?V8bsCP&^z@H@5!W^=FV~FL^Pha;|DAxGb#eGC83JP)hN(YG
zWWzr}h8uVp)RAxMoX}1GMvQZEiJAD9bx|oARN+p9e$Ue-jYp2}Ep4pOoc2o{ezrqN
zVSmUC+f^Vh?d=`Ue<+)nc>W>159X$|P6xaM#_R?!-vXy2Vu0JGPH0Zd#yEZY4j_s(
z$on1i0eYRqzMdht`rH^En_p+`+Fu7(B6{$JUlR3qhq>}YEuoq5Zt_$+!ry9)6Uy5q
zlznJFkg#e5bv@*zELN*UF1}~d)}Bh|l;GHvgX`+=sly+<C2<t<>944!*_@ns6Iv@z
zq;_w-Z=2hu`nwh2%?=?hM*&Nm{2OPt?)K#|uLoqK`5o0-vdS>__G#yZZA(Luz_S57
zX~4q-HHiU#@$8P=1CaB9gyq&X8OPOIHf_?12Ob@2--ZHBlJ)~QPKj~M#u$@%)*d>Z
z{rXYB`8B4!rBV$zLhwFe`cu)4_WaE&M(#f=5)%Xo+c&YbcRY=&y;LKaJ*1d+J<beW
z%=>&&83W;vH7O6V$O52i$AODuAyURT@u&)SFz0uSY?cg~8ktDama6Jid*5Nfee>2%
zv(cn1ORTNRW~5+g4NbEqRc3Abn_H{o5W=x{5ygCAr);7<`5!B1RUF6ao_tVJUlq#+
zj5*=+>*L=tqCu73F;j4}HMN%5As?#2^3<+MdZ2b0oB`ZoS)(lS)k_)#A4@~?;?G<;
z+^U7lvXCi4c3+XjioT}Qj&HGbU(0<Hv@|*Pft)EH`5L0%Clgw16SvTUe9e)Cjw$kS
z<a>1sz+)zKbHSqF_2&nq8c=4bifRvox1L3{>GzdQJfc|WlgD)udM;*KP)6HmLxU=4
zw!K0fMpcRH*L0Jo_Je?R(Lc8xyMB}#?6ja5Dh6OI+|+8?e^;X|@97>4{w^y%oa}FG
z(`DH6#Y&D!vc-sO?ja&1?*qoks^?XTJRj;Z9=&*t@*IPdvDW58v2L!leBOuiq!f5x
zvwr2JFeL+N+al%-YxI?kvdj=2(CJEXRR}4yO!EL4hf1uF#?CNgl0_xRdHE!D8w#aX
znpLn_r{gGy6QOG0z@M80QwLNu%fOpm|GjsaBY71C;7iNQjuD!c>Fi1y9>W1KQv7ZM
zbDPUSnjJk%g7NpVzR)EbqCQk+GgTx0oLN2U>4iPLOmeX7-(ZiCUJ^(=rZo)j_K8V$
zOo`@9TUu)BHev5x50K+$V0DObVP=x_Gv)KMp2bt_(QY}?nY@<J#+r@i|GKkx;RGOG
z+(jPt696Fud`7;>PFQUAO5aSkPCpDi^-C8$ylE&!dKI5&fm*X)9D*ITPi%7%pT)%+
zot@4F+jp@!5iN%VOuq2UFb{`Hy~6gvRS{=Tp=QD}%sck=W<pnqBfnF+*W$duBqs;B
zCFVXVrPPEv4Z>+WKCI1xbFYR`%Pe-qBwMPC403AVhT#t;i#jm{lVeGoL1L`9T`K#k
zj?3}x%{?0BM-AnJ@@3zX*ct7c#9$2>vyFn&QaCuiJ)X%o(4X~k?D-IQqgB_daFq2U
z0{QbygM5^1aF7u9$0!u<pKQU+D%wNOGa4*v2UOc-z5sA^xiwvZPT#!|Oco>bYKH|}
z9KB`(MSt64>2QkkFGAuW$&Xr#6)4B;mw+sR?@ol~Sdn;P^*&)tk`>br1mYnSKw;X-
zj<(_|8$Iw?sQ+R%o_g{uR9^YG!cpZwPuYE^YB=&w`EZd6r=)7^*<ENH|A$(UeN-7!
zqPW91WUcbab2GQ`DAn`RQMQyxEc}wdTS@6>Zy|HqC(n}By#N8Fg--SrQ@OzfX^rY9
zF+MGm;Y2uyuJ<cTJ1|GpaJ5i3#HIt@GrRpG8NKxpNd%9Kd~;r(6IkgnmmSg9n=ob&
zFa{}fa!SD-95>hoF8Oi8zAUN2qJPgqf@<wrlDcs@B9qQT2hH;<oaKkfY@(CSu?yJ<
zg!5RI1KTUZpmd}<p+7wkpzfG`x?!5`wU34h8h_h^bdV#26idG@<U<VO&}~t1Ycw74
z3N?nukVj&tD}a+;TYj0>8qrgDUeJPPwn_JERf9mO=#4x*e#l0oW+In#<QyuT)<l_W
zjz2G>>V)DAfXZ7TkMuL7ul?~m-k-nRVtosa=%oEMmI>InnHmL%0|eEEG5$dsF%ulP
z=ID`7J2Cm(U)9>2{`Xwnpa;lmjd=51ZM`2dqESLU4Yqxk3^DFLa~Zwd3?+k%;8fo&
z{msAA>DxOjyE#%kg2e?1yIzu`6ZLS_X^Dm<9S?_z0ro&Izc}6$X&@sYaymXsQJ);$
zD=*xjeaku+hDsfi@QdgMPajY>wGGs7j|-<}rbXvIGB~j}b4wn0rpObojH&hy>nIxg
z<^|MhZj)UzHbpxR7H1VpKZ2NiTO(Pt+Kc=q@oh~TYJ61jI|d@IkIlk%lXqM^9G%qI
z7KH&}?bhltieR!bMQOO5!on8r1`{*E>chzq12(1NlV^VGDCN@@k#$jCXMB9uTK$r5
zvJxen+vRYR_;|V+2Wy&pN=Z})NF2CS1fZNjA=T;&#?m97j*HR~twBpGWrxCzF;nWU
zvw1ix)K{fwn*GnBZM6GGq^`N|AET%m{~BtMH)Y^Mr{muPV2)q*2N?&MBA!$tY<~LO
z+=-gHkqy5mcw_OVi4U;uVZ@iCxtdE1a3j}qI|_!XRemU0jz{E)c)ZEu(P!`<=Ia|5
z=Mkeu>W%oJk%=MLYCziFr$pgV`;Esjz45s`Xj|C?i_+;Vrp;Sa3mYwpg~;0PSrD(b
zfuVj8$MSsT3tDKnlCM$GrLriptmWgDsCeyjptd?vrYFoiQrune?ToIYmy>}HTC8yJ
zae)j@zLqETX+IaKIR8&EAKu3PqScNc1-Vdkl`r;`pmLxq(;1pRYnxenJ_+(4-&
z@XZR!z$gxQ0f8MV`WgcJltom<5PN!NqiJwioIGWQC1y?&Uq^o)t43;V=yuq9x+DXr
zGQ>R4)(t=V!T^l>j`c#>jW4U7uP*t)uqU2glasoIlEsCE2CjZeQL!eqB4PVpP_fLv
z@t>tds&P?{9n{>fD5$1r_Lqm5agGeyeHH5T;K^YruQC1csiwkT)!d2)z5ui}6J<>G
z#;LGynt6pI$Bg%tT&wXYfm7e@#7^W~AF<QPgk3-cQLQ6z^oaI4EQ3h$1Lw{6QC^ZD
zP{=!B?|0{&d;3`JVMP)2R;@1&?qSC?7%~j)SO(X^#!AVJoBH5V99h$F%d^)>&*YLk
zG;(_s0PFM25zMaCsl`pg!K7-4D)6^a<@f-J-$_YVSQ;pcuqNhbLBQBeFe7-B_lLVI
zz~~$I;W1k`^lOdSGcLe;JCGYNH&~2G0@jykln=?R_jJHYc_lgc{&TGBaP9!_jmAYL
zoE-I4*l~{84eNN9A9n1sxuw#+Jqd(<W|A*T<2xzXi12Ldt)qyu!Q?;&YupW47gl#X
zRLJ5eJFE|nn1~D~YE`aM|0{G|ChdVQNv&oBEJOU4EMdu|3$F7r+EV&a7O?nNSZfYZ
znOoD}imK#F4Ux1!JzulbOF_(4$t^#|J!64dvCKHma*E}663ZW@NWE7^#e5a0oc(sQ
z3gz9M{-WYcuFVb3n@HMsv_Oh0)VPzx_rs5uHAR>mjQCHu9i@QFQuD^*XCbKRz!#h<
z{qHw{YZ7X7Jc*1w>y<Rkx1m;!lUdaZ8eQ>5wxdgtIj}L$AM(<=*z_?9*y%+xoD7bX
z!xpoO3ZILF-Pi5(_!Yk8_N5QP5vRSN8&=X6Q<S1#<~_8xKkja<_;KGg#-db{`DAG@
zlrqF{uQ9@a3#SV8N(;Jh=-Bzio3@diH<z6sUKof+W>;2xSq{pOM5plsm)oqm0eE7l
zTdq{i3XNJeNrndg652IECfg$O#gO?8+$xty^K|%HEu43Au;T@A%A}vXx2BdwtE&hc
z+1bv9%L5Q6o>IgO-yuErmS@b((Kl+Ri?2?c`LCm$j2Z@`bhxst0Ix>H+KMmz6}?b8
z-Vegi93DT@uE!j*WsB*;C(e~xXE#_$moXTFJtrlXs@9P*2MP_ncpo<zxAD>YQm4fM
z+{qP*{|k)&tT8+hcuHh*T9<ps2Gse-C%CM&WOnyAC4kg^Ykd+p1z4LTc@um-Cf)G3
z!ib0LvcP;3!(1kqMYfBq3_@f}#YuZEmcbj+gUSb?qh1dz57M*-My)$~d!%iLlmsu>
zaZENNAy^BD=nWvKk3>!-S4%qXj0-{sBhCvUwR^R?X!V^B$JaYz%eqDICyK`r?Ev;-
zj(6`Quo)(RixC_AOjPR(sz?_VL0S3@I>NO^*i~;CpjVc1zp%n2mPxvPf2u#FL+GSq
z|4w9s!*Zy4bvt?-qk`5ynz%C@H9N3gD&EGU2Sz3ixV$dY?=){R1NCtEFIG!D|AwE4
z^mMlptNy|btI`voLVp4-@^PL$Ly!?N@&;eFPo=iYYo`V=T&9S}lzfmwKGvD2_|AUs
z4t4a$3J)8*J{{-$!Xc_T4WT#v1|H>To$e2^E`;{^Lq%`%2R8<9y~$_4{`&QE^}9sW
zv7np!mK(?CE*sI%KVmmOeAqnQ7b_MQJe=@Td#nn#N;{Q!{P>id$Xo8f?;DM?w5%>c
zOt5Mrb;jzonT*NhW&3LvE3Yo78zbFAns`WQg1>&J-_y<bac#%g(}ICq@AmwDc*w_(
zAB8^gPjz%LRr{a}N+W*S?$u>@%UIle63nb*=UDu%9O;lsTX8cZf%L5Cto1{L)xraN
z4&Kb(gJBnp^vQyYU}P?y;l+)eEH*3Zg|M&3H5CW>X|p*)CzFC@q@uKf=Z0NOiAU%K
zv(L;4TQ~Vc-Oj$=FZgr_ozk_biK3GT6mzkgqR_uDU|a_;S2g649^0{TO?`9s?%mNt
z_C~J9?>cxJCGn5kMHBADw~i-3)30Hw)V)DkWE28^;Tq=`*p7P3Qd7g*JH|xCBv|U^
z4-S57T|n<|p1d2!g$C2pbA|kRbqUXyM!3ItbtmM!bo%A;@HsT+uT{@8R8xZ^KaCmY
zC!?N&LJkHsy3;GkH`IphZ|UO9o0G9s-m<ST6rXJxo|dlbV%wf;b#wJ%^(;<EJSE^8
zC$kf1SCeMCZ(zzzN(`f1|FzRGX?H?}Nh<MOsnW;K8IO__Km{8lpFG%UFfCkX5?He5
zWw_vDI;`~7{<UsX?-!Wl<8UF~icTqi_wb1OF`!AR!5PYLU{n#YAXDB3iGW}7BP%ZD
zV{zpMqAHRjT0Uk49?YE^Zek-GueWc@=E%4U2^m|d%F4<jvt9<C$sPWgy5WgR8AVY{
z90@<X{=^6WZVZxb|E%%nA6Q0BFJm~G@MuUm7eBF|czTpd`JAC;hWqs|f6Ly9yoPX|
z9T`iu;75UNMI8<44P~fj4$hvlKf9TGo?0K4(HctFVQp_m5g7lpTRA!@s&zj&%8NEB
zy{?=@mS|S86dirDwa`jxzmRNxRH|XSW=1f2Z>xjtvSjA^YPTR2pp43FQ1QnBf$9f=
zMoucV+399Gq<qKZ?DZtwsir2^;a!5>jdx}&719ZPC|*v{{K1cx+I;~mbHD*d?e*l^
zR5RaG!P+g+PY-cF6~Gc;zZ21dSv3%qpa&|1j0;rhxa#Q%BbcBRbc-kCrK!4V>&15I
zd=mdk?tNR?w~t;}kHbAWc)+wzNIUgFjZ&vxi5h`>{?{HFF-HT8_P1Yg#0W>&8=1<e
zrc)@)<V)e#>GVXH_vxo$HRfJTwNOx4WOAH{yV2~Of}R^B;cN2y0laNreK@sR3E1A8
zN!>9Cx6(asKo9<QAlmkh`!s%Q{<OZ3KfNsgozA~h^+MWv=Fh8!RzSnp8(KeJ$R3m^
zJbS&+Rv<JYa(zv|k%Uijg2Arw_VpXrhGpCt6MXI@Q=sgv%d!9oD74@EbTkotN%?ll
z^|tP7%G$?*wZU+tj_r*=V+ld44aataQ&PTV`uTHl!P-0Q9|;2&5e}0^5e8=SS$$t#
z(q>$O;(Z>u>31wKnOjn?*$!H6^M|2q)5msOP)El81^i!kRZgn9*RCmoc*)zGGb<#l
z3-$}4pSkES_4wj*j+ZvNFCBkdQqO2+(zS#XOGy0cz2N}D`#FdSna`h>ur3%5(No}k
zvST*K>GaWUV=@x=ciz4k=QYx9FdG<*a!5Ko5?+i5DwC6yHFr|KQT%aDZa&`>2vHD<
z$TKSM>PC~`G1`{)cjp8j(t=m!qYnevpHfXyu>-Q=);jx(Je;%G4%8Fxd(MA{SgHas
z?cG3IV{f_P;K3v+c!(KthLq5-x5v5u>{E7FjEPYKT=ZAI1h>WurjZ9JL4sk+g|oKf
zqqp+|HnPf`#%7K)GT*WNvM1`~lZX;-iI;TUZ2{5D^QI>XdRbX4YJjGb#BVS0n5I=M
z2{sZ-wR&IfNp6<TC05_3JCV`~eQQ!~ykcsG6`{kpMJ$$3dOtz6`6o#X8%!S-1UYw;
zGFDdX>P$L79zQOPQZJE}Js=o*K6~>HY0@us3^TcBjNM<VWC~5)T0=VeO2^3><>|wC
zBDMDY&FRa&Awv|P>I%!AB-igT6$ifv2yghK3x`=A3rEmV-i+Vdl=@3otXm%=QC#{N
zqg&+rv^2Brm#*~CahYm*)Ghi=66V_MA{m)Lc1hK<55L{)&QufrzGy>{A~3x^m4gk@
z<d*AW6}<X(@&rx?o73nix<7z`3!xA?S#xI7Cq*&)oTjV`jP%!i%Ys{CmKd)cXpq2e
z9jCu^m-617Es5i+)ULI^+K+2pOT7`l6Y#6oC~7Y<8ngo!gC|*!1AXZv)o4>-ADz0h
z<A|ML^58iqwacIPjSXs?99kXQug@9R-P7AJymZF+62E;J_dLmIjhfhsI?_N&(2D8r
zO87d!P3ba6h_38`%dtF2-&Fou`=DU%bv=>?FK`+kf8P_2ZQ^<ir?c4lTrS;yVf`w{
zaq;5eOOebBA8q5~wvuTJkjr@c2fgW)PXPkTA1{WMoxcS1)9kW7|Fc=+j9c5*E-XJI
ze?eOZ>_Dokp-!uyn*?e#>fR*3U)8J`i}TrNsLj|px^suDJT8&@>jO=GqJQOA$?EnS
zKirz342~%yB^OQ*lV(th%3*%DeR^t>A#?uuh|M@@bZX|4q~d%6O2Uq!?E|M#waG_6
z3zo<_u^qG*bJR~<60nKsHG*|z$G)YgG-^6ZjL>(=zfUK+9VTmN(@%MHE1~$gT<h^N
z`e<q$mHvCCseT0u8Sqr124Yxl%gow)6d8lggqNY!<Gbjr<*sg?pV#v~TP<0Fm~S(R
za`l9HGHn|AnZAt_HfE6dw0$mx^kch^5)bCYCm!DRl!q;owbt<-Jvx=fv{jDE7CYJn
z4d=T>g}i-6Bq>6*v|*1M!=D<L9~>$GtIbruVl$T>1;W(u7qWS?ysxR3$qjVE?{%;(
z$}k0blg*ZdZ;m^?xOnxE`@Ny!m_6>wr)2=1rSAII#*>gQRw@QCzstWaWi=<pIEfka
z614}1lTuQ5e+q3JBFc4)R3qGoAP;n|rMOQ@)?@!X?L%!xZ;nUZHg+;we?-&y%hccR
zN$~bpHHnLNPR;4G7!>QqVdWd%wd0GWIhjhd#9oW>`CM9%P}rS28?d`#0W5U`*wEp_
z`Vqou79h%y%Mlpg#ep0-2rf2W2@%%yH%XH|rChmj=gYDEMAa^PiRQxvnW<ZRyWhLs
zKh%2yFb~fYde}qZSG)g|76=7u__&7Kd#Iral)sLu<6l$HV!!oohSJ1KwH}mA_jcC^
zsIU<g=l(|{EwKc8)4nvDd=h?D6$j6!NyA?b85+=jDSmWsJH9!ro1RHX#JCziktizR
zExRov+AvII694hzp9|G122EMxukqIKXZGu&eYfJyPdttncNWvx)OH%puO+??yuVO*
zL-Tsv?rf!sL#aJr1~_MdAffq(XwJ&pE8&a1i)F4GVJVfyR3Ig*W&6kXj@P3jBv0G1
zPY3lj!84?ds&@X&_)xNJ(uC6JU+G7IPtp*UH^_Q<t~a*jgWPh7zHXXrM_qd`LwWbE
z4dJb=&kDpM8E?nRJz5(!?|;!>>h{^heEZXhX-d199iD7Pmhi6exdNK}2R``mN9rbS
zdY#`g0K)(G?*fdu?q69zU@CCx%dY)vv5~sO^5u3x3h|h)O6@1vGmEXZ?`tbm^FI0K
zRny|;%_c%a46BBQZzL}7lcu-6iP`>Xy=CNrE^Ru$@&N7ShajgL&H~Q&HgwkJT~KD5
zpsDK!P%%N*JFJL7=EpU{<~J>i@yy4nVArY4EiHmNX_7g8(^uE(W3ri+U#%E?Y#^>A
zNubc2x;D1psR&5U#w0AVOT6vnuh0#u-BdtufyvlUkMBBd$xHI`AzV!5X%yN^Y0Q}Q
zL<A3=BI11iFi4*>gmg4TTg<u@9M@ZMZRm^DTJpY+6J!gz?VsY)^EE`_3q?!W^xjw6
zU?(%vA@49E7dw-!uN=iL1a?7Iw~3F9S0+Xfa9u;Ubrp|SsxRVqQV;B?1cw?)CN@3r
z5sOYPE$3X8OM!psh5`OY<15-h#l-%!3D;AG8|wsv?cix>64`f`pw&9gQWJW5;?I*M
zf-_V18@p~LmG7%0d0$V+56*uWbpL3#iT8bO{&=2e+Ld1(4>R(bemH$n48jd1I6Vmh
zFFWO?SOGW`cHWc48!XAPokYZ!Lb^23jlY%7EA`Y>{fE9G_teaGXbhi7(jKXj*Vok5
z<UM>CO#1w{E>qf3;0^&{anMitz*a@ia~|`i;HI=22j$TjYA)08d}62dQ5LPG{g0#G
zUcB~ChQf6Bj{TV^bc-`X?VJ!ht`{Ur%?7PeY9(R!B@!f#PH-#;X$co~rD7I9%e=c|
zz63pYuJJSvdYn)UHcfKQSj@aIy~X!vM2e=)n6g`(_=v59;K<Wi>h9<!Eh(ztJx5gI
z0#{=s;VHOwFuE)}n3gny_>ma#j^le=;#TaG65y(@gYGXI*qy(92>6OWS|PQdp;#%R
zly|c}(vGKxYqi{kRhyO36&bv=UFcs%PtDz;@c3sE=3gV|%-Z|{U%lGyW+>)d+80iE
z_B<-V>0-T8OIs;Q*O+jxVoPh}3!?_$fPZ>hM#iU6ZP*kB6$#h90?+ZHd98q77ZG*P
z+qT}|EQnZtS0TDfZxK)5MZ~Y^V*0kHvJ4k0Y!+PgDH$C>n>jrUxL7kgUfQ}G!l3Kq
z6luJ_iJX@Sl5LJEZ3y=WUR@g|v?5d^WCq3GSiX0cpoGtYv4s4Ha)Ft^6C54NHF<}x
z{@s^GG|3d#yOo#UNqnD#Y-@X@>H%vPlhT}gu|AYl#>TC%FCkOJD=~F)fN#uiC3edH
zhO1#1iuf$sU|d?=&N{O!`<P-l?xtN~q7eWeEB!>$hJ%{qWgo{|IIg-}3wsw*jJ}Lr
zq}c5&B9yp%TF~?%-__X1dDZgp?T2_~Q+l4JC22pq^&WKzw>d^(lTRgQQkB=#tSqU|
zuD3|qo!T>i3T!((0G19c)*&G%k`>|ybMNb{t_6Wa`n*+?N&P>Nt_D7PigBO0^Kj9m
zM%Fxt4=0&$MxP)-&RGm%A}~CS3Q21m4z_u{^JL-t`p&E7ud04Q^;bTo?c$F8CIB*?
zJ|2uYa%mtpEvzpq0<BCafGwXy>8}LtEHQ--ctq|wkD1lh(|kH=a~2KWK6itA(b^eb
zdx!{J2ci;o%yqp-7_i3{!Ll6bq(oQ=k6`V008)P!0G@kCw87gw-wItAflv~l?bk8W
zL%2ayiE6HvY8>2*0HG?Ik7do#&f}~z9HLBXWa60XepCrDqx)|Xai6(}-N?1Hp1a@l
z-fg^OR@TXszluk_6x%@=Pu28~%9?m+QefUoJBiPF8qEIEi2rfuDN7tB(yp2ozSr^W
zM&nDm;O*`gRcIGmy`8@ihO1&;U;nP&ak-rxw1aQA#~n`8Owp$cjMN4c@AY=CHKX<I
zF7ZB7N<h|*tH?fJwvMO}ZJ*gDD*KA5dX=5UPy!@fHWXt@H#XI*Q)e7Y85<o6{Z;Rd
z@=jC{v0f5oFT6Z6G~IC)M#td)dR%+;{__5e{zui2y5gqtG>202E7!z@=;;n<qjTeb
zerG`i5+llOGfug38%fN<Z6lqbXB*V7uen?G%&o009@AYv5FXf;fN#?A4NEt`7ys$z
zIWzs^(XTeGJCw$^P;-{i#z#I9EZicA-T~=`iw-})bPEqTTPXGN0-7~0kH2jUNPK`B
z(kMOg(K6Ue>~~pXN*L+Rd%t4Ip86$~_jQXilrNT#dH#vnj2%1ju4#<^u-VqOF)NLZ
z1>uol?i*%nwExr@w1)V$#@-X^o(mk7jTMI%NP`He0B}67)7^azN>~pQPMptSj=ITR
zf(Q*M`h1{wY~JDpsc0KZ?tI%Y$K<U`iK+3~cC`ED`8-+(KnU23ihsECG<D@r_P?7w
zaWnN*NIju9fxZ4dgIS~b`}&)nQe?*zFWsM<6=>W3{RBk$hBwD7&oBmEa(~a1r=FfM
zHli$Vjl@2V#n~K)*P?C7M#ez}i=l0pxAxlw(0qQ08{Qd38T0hwKZJ*-wA!$(lBKo6
z)r?|}I=XzK>m7Iic&~9?q1IA)<)5IX+PgPp+FqBiG^Kp9>!vCpeD^LokWqH{T_VMU
z>Kjg1TP2M<J?=EVX`YlvAj~Q`rla<)<;D(RG}O0^QW9ZD;?h#*y~g2=Ceot!KHdG~
z%@#0_Yn8O_n&))x1oRYd*eFXl1!_0a#S<Dk?b>dS;|PnnpYll-Zb_N)l{m^xI~22G
zdKpZf_RyTVem!cA3sCxh$a?FrsJbp}oM~W&?(R^Llx_r-5KvSaMv#ykL}2I{Ktfbd
zRFK95k#4CO8flcSAp|4`Ny+c{Jn#E{*Z2Fai@&(woL%c)>%P}Mduxg?ZrPSqlqQ9^
zmw}oDjs~VJgTEiV7HPY^8;V`7KDsKEp*|Zb81P1bZ+~sG-7p-n<J$QLAcf=c&(eu$
zaBkF&p5CtB`|ElR(tn&%UeH|);i|JCaTHf{$#En0j?jED%S`n3tiPXK-e-Lr8(VJO
z<?{0s=6Ln8uWaDcr^#(nU{(k~bjv;h$o?6ivuQOoSJgaJL!GzI?xXArm!Lk<0k{*t
zpiN#D!0Qy$pI#)~W;eLFXai)`iy|jP)>Cf5og0gbyj#FOuLgg3)!>pm=k`nE;9E1(
z%nZ`qyA(n@cIr*Kj*1MGI<<55&&dMbFnQ=N9}T&vQ1oGh{;$8OIN<iRNF!Pz#T=u|
zYNtXNQ?5coT_`(OOkAsUAl!%-vc*L_X6XKC#YBf_fH*5GoU#5cjEuksAKn4*g5iE>
zYl2ZouSEmZb-Le$ArBth-|9|hfcw&p&di?{#zE3#)VyiTCwiSN)MJiX<$S|9ZMO9$
zXD+8nFyFcJ-~a%Z&0!6GyOr<>!Uw|l>c)3-1O$9rDf$NRx8Xm26jcG?xwPi_wJ*MG
z(H2I~QF@zsd5M5F!+9|@wqjNeNF*MjcrKduGhx}3D9HFgqCYb|*uY0SX)2Wl;HTyP
zAJ(d1YkGoW=7y9=NLvyZcDpCQ5)|IN+?9i{CwjV8GpX|K-|)u6<Lz)1JNcy2E+O_>
zaIydTc=DHucR0nP{mmKI9tQv=hx-TI$kTDijb5lIMV!OYU4H6G)FkZEpYJXV&+A)s
zHmnKOgd+6#EIlvPo&>4-ePBI)fRqp&P^CSs1LX4Uvh0o4k-+f%W4}hn&2WlQwLd=!
zB*P{;Zy^Fe4upbgicP1#YT{9ywE{(>pHPvM^q|vT>U&w5j|dE&OT;O$ioH&7v;->n
z)3fs7e;zgF4m>J=1*2>_Nl1T!w!YEc@C`jtA<rfPu+{5hsBWM6rFwyNBYxxvOf~m|
z*H`coP8}h8p8qRU9L(ChFj#3>1&rxmTf4u0jxfPw0Y3&O$61>b=IjaVBvpcA#okkz
z%Cj*uBs0U<c32(kAfD@ckPcSqz!GhobEsa=BrVG>6DtX`hTf0ocX8*sXafY-zqW_l
zV<xFHR&%99bS=~~Vrh%@eZAUY*l?D$aM97T>!dn#FHf*bji6xg_&>OsGQ?7u$?(!g
ziH2<fwyzPM8eH&AXZnG88y+V8>wBeD&A$zeEq?|)xPam#xDlEO&upCv3sENDm3E<#
zbX?~krK5#CTAj8ECk<Cw7{=n;l0koY4AaZ3$N3Yg>9#-JpMYeE&R|9D)AQt|%T^2v
z9&Y)s{t5?xU0eA(F?TN(ZY;<XBuEf6BSy3E%{Vw)N}586Q<_jqSV1?&UPCD6fKxWF
z2%~JHp>OJ4=Dtlq*R)2;FTSP;^oG5u*OUHL|9^+|l6f$S3_hqfns)K|$^IM9g)_wX
z1<hA~^vEA~!vl(H^fi>lT$|Y=@`k?TsCyY<r!dpy87x?W92)CIp~{znFq?kse2)9S
z6CP7OLgC%SioS$VATt*;vytnmMhBu-85zb9PoF}%ri$qZJM+Y6f8+k;7oxnhiv}cv
zSTDF7UtM5g8RwITznRKkJ4)Q+C0)l-EnoFxsx-uJl2m#wunP#5ayj~ZaK8g76WDZ3
z9_s>}MxW^@f(NoClh_D*izKiTpI?Z;mHazivE?~?oFw@*H%{GilCf!%QJ%Dg16J#z
z9zYJQiZq*sPs4d5@5fxm3ImI!;pL?wMQP4%S8M>+!o?_4hKJVF^ZDb>e+l|uJF41a
zCG}8jP>51wM2?)t$KX`)>(!zjZwNyK4;!Y+PC{sIXKL&<rpZ#!K>=4_DE_&2QY9Y!
zG|e%Hf(;iA^0*Lr+^WT}W&wWwTfzG4zfJ52`=}1X)`Gp~3}h&TInTHe3l!#{tMd_c
z8ilOhZ>g-At20;rHh56jOksZGaSB9pljgn)*ph%IAVvLP!L%6KdqC0@mp?J#Br};E
zwES;t1%pk4smariksGHR)$mc)x=fH7Duk^X*>PQEQH~^tW|q`??%L$PZf98%doAYo
z{Ke|=#c(`_diH}T_rW&l&*7O5!B@VHbU7q8b`P!5NJXU=cvd|4cb1<&`wTR?h`Ms*
zCeI|yJaQjygWIqDfg+1`x58pJn}&Yf24s-;dZHeX)7iE!g~jU+ZJalMRr5<}v9IM3
z@=WC!-d?~7CQqpXZu4IUzt%pO39hrJtejXKHRtpQmdAv^Fi1&2(bBc*IglkadUY>D
zUo}U-J)6gd=)beuSjG_1Vp<R7rTLn+`CZJc3;yHS@9W)7K+|VnHZU7SctOQxI@<b2
z)b<z89=*8OYo$~y1hAsu-DO#*ju26ksT-uvWP%Y=;Qc)fUW`<v6ZIqvng11z0DCU#
z3OtBXl5nI(Mv}a%`GK_BhnPMwanDIm@Mg?kzqs<A{%aOgq3fw_fD^@{1<9g#L~AG1
zyiD;HlxZXfUG(oHUyJ;Uf*cqbaxe)&yp{_tY;$@V7u%sBHV3&dSq$j)6y#DuCTubB
zeOwH_hVl4<z}K;%)e1f7`z-9RU?9l<HMjdFAUm839)kOho2P)(!Rk<J9?gD0r;<33
zbqr6&5(6%!@RyBnzqwQ*H7Y}3?>Ixf)h^!eV3Ag6*dO^@9s#U$^S(F84%0LE*ww1u
z7D!U7EK`0fkQK=6Mw%!GOG%PD;0T*q=u0UB<Z1s7Yf@=&aNYmo2%bgiaIBv0`{vXG
z4YIZ3hAR8{G6EM>I^{4l>1$*SMKwj`EA3MU0KLY#=+AloBf|e3hjRRDIJTMKN=nnR
zN6V8@(pha>^L0Gj;kw8XenCN=!5%)4@8m(CH|0~Ha3cqjO8LREri|{zKQZXA2HP<_
zv_vVcxz<+v2MpJEE>e+sDJ8&%V)g!#7+>;X6~2dtJDfdnIAT>%7?qA&9c<vRK(_4l
zR{+v^!qFBhNm<c(2lsnca<mIr;IBVKDl@IUF=dTBb}DrC#tJNWc>b@kYub5mEDf0v
zAlE~LRRSf+6s<(IE4CePk{?!}JUAzrQpbX2PJzFK9ho3bX?F}%oK?x8q+fUJ{^pth
zWP#2eI^HoK^;eN*+&`UBPGN=zpU0fPbv<gC+PqCbgD>n@|9_$A{m=(a63-)K`5mwe
zxJY=NE8@a;j8ZXl|LXqRAITQYuB5T|OQHA)d>5W6aw&dQsZe!8VJ06hW_2H!)xkv|
zh@AO3UJ(=56zN#w0o|)sZlj1Ka-pUZ_z&Tx&@cw0lj4FqlK(D%LC%{rWIGm*q8w)o
z8=8YGLQ*7%5Ohc$Xs^d32FsvhW$ZC68Cdnlm(l#vylfuu0~UIa28<T80cwL6Y0|u`
z!~kzC?R#U2KYCL}5BSn+s(biw(G&=P=bO=ryl=g0Wohs0C2sRR9ZC3)FO7YA4|I{k
zBP-t}94484D4qE9!V;N<)XH3hz`zRgdUb5zK5sv6K&rFX*Q--&!{LS3RlL+O9Q{m6
zbk&q2Iko^v|8fnr4_dfDe=cf6Oj`|E_Z&@Ukcvg6IP&|`=*}R_7TQ|;#78gu?dMSp
zByS_<2U4Upu3QzE$|KlB^y#N6!Y;v>AAtoa@g0~y9y#_eu793N^F0JDOTI%s-U}Lj
zz$Hmg<piq1x_d$ld=|6Oq4dAuxMbKpkiAhVmVNZXRL2oz-CyMTpJ%=oGIU>s0kIhv
zR<G8f+UxC3tHbSJCLhpPXZ1%V`*wM4_d+6Z@2SdOecH}Jfyy4_3w7n2b2ipMkD!h|
znpdYOoG;JbpjSl(xO}^zzfB8Qg|kEcWNAOtNcmIjsF%p|S7rsQ)a05xp_ZDBqz<>3
z>aal?fj;B-AmPnU0}AFNXlu*%1|`X)5oDoR@^5tTE%hTk-Fs&a0xs%>FZ&!Z-i`0O
zr%!>WL$5^g&~Qu$e5DtU82mt=x9alZKcUDj$qg3(!qAe{(QZr$H8gCo^*jfL)FYE9
zZkniE%eMjo&yZvVe=g6<9PL1BW>UX09At3q^PozeSED!M(ATB&R0}8j|0Ldk51fIv
z1$JZ?Hayb&{`J?6Q;8vpO+!KkL72pA(;5A-8j^fBIDmR2goTZ?P7`vg{Zw<1Jd!k8
zCGZF+Ty}*0Tui{wsAWY*Kyp@$MzWs@RMRmLr!0RvDbBr0tb(S{am16Nc|6O!{srr?
z8SGP&yzdvPwLH@o5$@rSktoHH@Q8In(4IZaW}2{7AF)2iTnMb(qk_pk^op-^pzHw~
z{teujVRYez)-QA~)c3+m4dj4Y#}S;Fx8J!7;Qs)nwxuIoC8(jfOe5k$Z4CY1d;>nL
zy<l(2uC_@vN&Tf|s^Yjz<(V?7nh#4iiocNchlcP&rb<JA1SahhjtIs!RDJh}f2@7$
z1qV@iz==h(oL@e;sgTif34!NE?NG;xkK9F5%TI(JIRYq;%bUQ5*D(B|wlzks>}AqE
z^!GKQWQRMm-}<RDZBVR7pGBv6`o8D&Kc0N_;zsp>?vhnexCr|nVmgZ-Hy3y?Vm*hz
z$uD$2+^XPDGKH^O{ayw7n7aA{)v7uQ%b-*^yebBDJTJ|gGDW@0^4!@#o-o0gYK;s~
z$K0iE7dhr1ZAh8h0+yP-pi?y+pM3;JM)onYv?V$w^4H=bJ0u;oc#j+g9Z<vxlH<`U
zF`iZae@FlRW&5`(aqD_E=p7y#h4n2$Qnhe}Ij-49J#OWJI9Zc)!-jReeQi3~l^(#;
zPq;WjOf`B{+QzbU@XBy7g``=PswwxE01?RxRjM1$RuFj0>d_wLMT?@?_t_UAbv;h_
z#!AvbS455?9q=+Irt`Q*Ub;>Fj?%X>SYCQwll+dU<C?~HSkrY!mJ4<S(w&4b0<9Xe
zKb9Po1oy&@--i}KK7qVRhxF>Gko?T;5M)QQQ{V8?7W#<ItxflsbSO3pZlDQdXX~&9
zKgo8UKk_78CWuu}Uu%TX=IzSMyVMK5hyap$&vPfUfHMYb3rD-74$tdS3(V^lyVQt!
z?q#n8F1nIjV{IV=Ptl7tvb1I+Z?i1_dM(e80HL3><@bY!vH-Prf;9hF%2nv)Wg9l$
zQ6U@IuKeRfb&=J^`@>oO61RHpM!>_1@{zTjizF~H6bB-#Fb`i4Jm;p5+o!O(Xp1>_
zay`!z$ocfhSn7?ZKvM8N^6^3S#K;{molaOdxeO;E9V2>u4Y6lHE{s}kFLW-lhyKiu
z@crxI*V-{UgYzR?DOKXXwq$<T#_!)=p*t3}&qraa@PU11;kW?P!TH08N>W6-6xb2Z
zwEAXZG)PZa4~VlG6d{O_z^$z7YKx6p3WbD#fXTB1pmRqMWYRQr8p`{q>0S2uuA%jx
zx$gr*2{zyyL;iWW4tok_;xiU)|Kh*zFSn0DOzh{X1}h3E(~l>7h13<vKPV82Sm)$y
zxcsGovyt>oSJ;ED(ypL@sxr>`{>h56xg)SjnStQA9)sNQg0%JTSnGRYZ0=wt8LAa4
z>Swt>&pceY@OS4&siH-PWrDlTmeS+|U7ZA=?Vzru2Jnx1gJ+_itkc^re^YwdNd5eq
zg5^Iftz1`7av;67+(^AhahUsJPKmob^LPDcTz;N&yLCZ!-YY?R@81A`E-LFS22o85
z^nfKIkKyL+PF9cIT?@laPww9g^?n8nfG2w8icQ(m8SQct`sE(5FXL!S-<J)-A9@u&
zS%00=Gn;cU{auL@lUaZFE(i`PC_pFPVetKj5k(yO35vsVpMZ1fS}LA--?N*6@6~g8
zR8b)0XH#izWKlg=7X|=RnOK?kfy3>{doXbC4v<vqzUN6fmLZENZv2AH$`PGGZ_ql#
z_mb#7cyBaTMAzPjXjjYr(W_|x$3O2Ip1u||X)0Ix{RMC1RFk{khgsF!#%Y2wqZ3Qe
zd}?KA%AA$%Jvsmeg58Qw_*>_hc5RLIw+?P`4;(P-_w><4?9AhZ2#TaoaE>DXlKKu+
zM(j1@<e_rmuhwmhcK|sWaeX`*uRr<f1?>|GIdJUdha6Zv(nZ|=$U@$CL^ZrF5_g36
z9Xr`vyhO?&ZO!BshNgY1xC4UV#r^iRRVb><@V+4tN1;19q~vOJaVkapnj<jy{>aL_
zQ<Dtr_R90Qt-R54wxWuxV)*ZNkRuT;?~mHh^hU*cK{I0pm-uhmh1wAD^r|qOEUk?P
z($wJi*h_9J{v>-Z-LE>y-)*Msj1ele%A!ydB%Hm)SKyE{B@oR9eM9_bl=dXsVRnsR
zHOO)7iY%%fYyu>`q394~k)J%7x{z*=iNH(};)kNzrj+-D$<0@Kw<Iwd#grYO*Jie*
zax~@*v&<wblC@UdqgB@D&VPe6mARB?WNHRa+GpRv!1q(BVHy}q@`7KnyN@?Hl%UGs
zp-EC%9)|5l3Kx4`xMu@8Wk?KAB;TA`N_hClE9UY~G0dt9H8eg}Soa%dGee5_#Mo4x
z`M8Wgi(m?&bVo^3uJMzuChmVk?nN(N_WB$^`p3b$3ff?XS%@o$ca`harLQlZ)UV$r
z)e?##*8|+w&(twoGzhF_^U&4_qVQqMTh>B-T`SAapy^gX+DXPao#PIFSZtdzxBH>T
z67q*gM{yLKB3nBQh3wN(Y%+c}d;k^HSWt(Hf~SY*-z?eX%ZQ;k0`TgvrhF1UE>V%8
zTbt1Ch2_&;bG&xOZlFO6<^}NK4HZkZeJNYbelKsNKqkv2H`VN*Ob!YZ?f}5+&2LJh
zf+@$qiOxV(OR%)+1i2j9g*{P_W)8TpmS3H{>V55EPNAd;7>Vm7=v4=O-Nug*xU<cf
zdbdE5^8v!-40N!BDQ#Us7vm{{4E{FFGPY_oZ?>{yYjb7M8<&4m>6C$=YoBUB>ZVO(
zd7djDDPhCs(}46{Ye*84AJ+>D$iNu-8Eo4(WhX0jd;4RAGTkWU7T4@+#@JKV1Ba93
z5>>(x`*8v>1R8>J<}nHqc_d}366?1*>~z?Wb-?dtb9Q>d=lLBLw<ga(Cu<BX#Wdpf
z^IYbxWK$jsrhH|E1&b8_|97Me@_w<c-4k(N7bo?co*ePb46g#2#>wT+9ChJTl`|mc
zSq&<;&pFj3NkW!cUD#z*VWqcXHnX^P_?HdP7PWaPf<KJE-xOE%Y_qXMdR>O{1a-Vg
zG&_4#Li`jGIO9vStz}ue#Wo3xouQtMB<_I@aq5&x@b2UYUw_C1P4~diNXfQOmhj`)
zH5WmRLVUXcNuXns?~-d5*w=NiC5*sAvIPw!*xo66L-(O*Gc4fI-_-@s8h5}cUsD9k
zs$A@CoiZkK(;#lrV0ed!v%x-oHdclz7$&l#4O>UlO%g9ZU#@HG>iUw`Is7tbw&txV
zs)0AsfmA)zA7@IHa;cOl6w;B$kl#`iN9x(&wS>DXG5Xtz6kKkZLYp?EJ7}R6QLS+z
zi7%?_)+(fK>P68_Akq~}|GG}PPP$ROBz}zxpd8l^O`m9>B|(z-Cw&562~K+(Hnh(z
z(!Tsh2jG0^hGQeS5LyZRBuks;WR7YTTpHfMrhgZ06SGN0&?lDU<5g1w>mLz=O!6IP
z@YPm?t3OJlAP1VHXmmlA!uHpjQe3bk#Nst{YS*!YhBTXKft!xmCFFDwVG(~KsaqA1
zvG8m=oZ4*0HH2nbTiYm54!}mTvLsGGP|&Xovl@g}CqsdNq$6bOU&N7ksfZ0DfMwHZ
z19<g9ME%bqo%f|PT;Rw5-3#FPZ)PVbSWzKNu!g0B)FA1|bc$||CLdos(g#FZWQV^W
z+WJal5i@}X@WH}j+*^ha><}9|Zt$_3Qi6d(`Qvlm&0q4-M=YcS_;*Bd&xvP;J>okr
z&f3oXfIG?V(ef%G4js1Wwmr@v{UMI#V2wzOOfWlBxhbE2!GjNsiu~LjNl_MiO;yfM
zsPK9FrfsO7Dx(olqniwtrI@n)mEIqiSi<!CY{@`5$}V~`!?POuHv<Hgubm;dj>4(B
z6uAV}Y#$ma=zBm?urY5PMioDU8dLFR8T16@=lg(uT2`ZGa;iP%S_`lzCzF7%!$$u{
z{vqF-N>!Q^q+Qz;zF-omf96JlvUYP9i+$CKcmqkwyx#_n_^9nH1;rNNBjyRTkl^z#
zQBWpkLD~ZFY5fwQAC!t+KV?5i;@aPd*kPd8M0R`$YkY?sEyI@y*ij9b+Z2yTM(0gT
z{IlN%0Gp#cK#X8I<#{qq7$B5X4^n=p=FHus$SNPKa67Uqu77lxcE6xyXepGwnj41Q
z$6XU4YbsK^Tn>>Podr~<h1NrNMU5Xc-wF%EHWc?~^xs}M<^}Y&??|0yoSA?Mv(e2^
zmn5~VTfiQX=d?eE`|yoleY^uEZB<=B%>?0%Tz$k990#aHpom>(JNrS-h8s}*0BlUv
z>H;CHScH8SX0;#n1%0F|w0(+0k~1q@l7$k>ST;Ii$~E!p)ENng74ac@s>{Eo(9gir
z2wF%Xu45ZeTgEHah?4y);XhQ|6QXjC^y&Gckq+Dwgat<FqKHOlQ&DB_E<kSe%&N*(
zn<pbA={0*^`4oSG*iLdYfsH|D%-6aeExSvWjdat=M*b^2-J^3|r|`C3X7k`Wn%^oz
zt7a1|k3Q6GPYusRBduOnufOE+Q#6RjV$hsMxw&WQEFb7Aad^y<iYWWC3d~5fm_cQV
z@@G|~GVH7ElYGQjtSh{KNWJnR6)$@%pn1VZu21h1S|*Eq_@ggen1d8Sig0JtMwSy%
zR~`V_v(bjJ&7XHQ^!hQqp8z86tkgf%Qvzp)I@4o>7V4?&o^#dkl@B!i+f<eJz^s19
zZR4dNG2k>@GRDuJi}JMMb3(3H@o=IpfA37B`~9LYijRs>ZuRM#m!~UNaNdFk?h-HU
zp@9jJXAx;!MG>DFW1&6%vV|ZuHvXse6-Of5g|O}0#nu9z)JCK5KaJ2}>d~&d!}bw}
z4K%;ZPKphY1~^?4@CNkk{d>+N=-IvVfG$i&KaCh9&_ch{y%q5iZjdT@ziIZzKX!R0
zHTEIqxdHk)*K_HI9BUEv{`U%AC_o6bxC5mQdpc(Ap^)lbo*xId{*nCN>sc|9)KTVL
zd;L~LCInb>^!&<ZW#z^X)L=sdlI%<Z`|Rq66l`wd<tu!rHHl|nKrSJ8UYE-DB_o0c
z`F^n$+u|Y#Hn5z0oDlzlb`Z-#J#0Egl8F`f$!++qgc9>{30ewf4WBMZEbClP+Yw!m
zdQcH;C<zLi>S&6jD4H6_DEK%!sPZ!xaZJK&XnsA_dV4v9PZ3pH_5+m|P?lI#?~F-j
zEUt+BDMEUs^@*`MhZ&}#`+n+i3(kBhb`rrM2FFiJxP|b$B*33VlZWW1DE%9{)-uZB
z^$4H}3D_lTAO(>o%VMq#x~IL!+$X~9j^<?ft-n_W*=h1x3=(|mBMLabtUC`%`G;RT
zbRzkaE>q6XhM6cXQ&ozYQZJ&>FS}et1~8w*Mtdc@M$Qx;7T)F>%c9*=+aHy9pgqNT
z`p7*>5%yap@(-mrD4c06q}I7i;S5ct_}&B$t165+rb2r|d}T+aH)gQx%S+&nMKkFz
z%!Ch<1>_^5AF_Y<TK3*7Yb?Y`%Z|Idaw?M0Ie{JA#!xN1euo31qAw6biN6d;cdPde
zCCic}J{w+`<xT6F%HSGE!2i)=c-c@`%m2@G>ZXbUDZL_wXu}8WMpu<I_zALyWwyhB
zlVKV?|H!5-aB|X;GZ{V3D%pky8Fn6WmBAhiD@uEd>MljB(>lvxV<PJ5RHSfRRX@@>
zPgF*Wz^rQs^osZt`n=DL{>#M0ISnPk$@g!g;K1-0@}@1#wWJP`=Oeg#(jAC-Q~e2{
z7Fta)!jrj@?Gd6Ll?6GI=NF=UxDS<5CIdGK?4ZrnzkQSz$Tm+@w>1=u25zBXMg0Ek
zFO@SpLQQ=%@wx1g>Z@{z2}|AgV-iNTkT0Mx(0~w-C1k-CmjTv?^R9iqrL4=Ql}lN9
zvFOk2-(6LJ2^#|J;(l>GoUQvh*@q*=oWd9LCZ&LdbmAa%#MR|+e786>hh?}_lk%JF
zfe4LB{6qL0x)Ll$oJQSS<DG;RC*%IGV|lvSFxs8tzCqx$DdpS;@?rIoh5qk;t$))w
zxXk}RZm8<G(jj0kj|+d4P4<aRfCtOeModl1kd~@f$3EpO&2Sbm9p9qVSf<_LUv>}H
z5kJSCUboBGSE~?OFG_QuBaJ!Z`q9g1OiOJ}F+jZ{!SS4%dCwqQcGTYTE$MM=IU_P@
z1~d)Iq|~^j%Cu%#XuK&|k3$NC2|Szv4d{`2BG-%He&PRukZ__KZoeFTWTbw?WLesL
zQ!U(9!*h0P#_iSZHO+`@XIt&jd-vl4HCmQ*4n&JTfg1CbrOqgeuY%8DwM|nmtj)=z
zd(dzA4}=NyaMOaar0LgLonpnB7xWx1U<3kD;eb;FK58ICyAL31YINNe(s4oG0m@A`
z(SR6OA|6wT4sCDxdT@_&J`qiQ1;4GH{dsBQgUre|)<p_`CoV;OG0rbysExAJmWj)p
ziRM=_oP_2oGSe6-UuktJOxax&e3}O6dXZcM8fZr1bkb+TxfCx#4JixBp(=1FD@|vR
zto6RcIsGqj0^r#Wa9-VP_p9nh0ds=7p(|rjM-94h(O1BA8A0&Q?;;pOs)ZuBag;0E
zNU|Vv$$ljwZgC%N;!T>2Ta}FN3@~q0Q=nBt4wT`DXcJhiz(I4k<91`+$LddPw=!v`
z^U#^_a3nSvE+0d5;;@JBt<u-L-!1*tW)8BB7|@kd(bl6spb>LIj!1INiZl*CIXk;<
zZsY88bIQ}OXN}b2E@P8avrN0<A(1@V=2oxZ6q7$CA$atu6VOfl=QHgRHJX6%clkvs
z+8=bKW}t%lx1A5o_*^{N?efz*|A{GIZb9ne${V92Wa3im1|`QbiQ$Vt{}d=Y##`!=
z@p!ZeXt5?aEQ~&-2+W0^(}{&&AFfj=wPG46sJhgWMnGpv8TELsn19!W|E5DkLxgZl
zpXEA^y`+CSqcxaOQ3oHiKfVDS6;(DmVRc}VNi}(6-Ee0=d}*e9*VRk6%u+JZsRQ?(
zZFr@G`K=*zD(t%U1-z|$Qk%l4YKPbrL`-jhZ;Q~6#ie$~J=CfSqdgva8e9u;ss37z
zdiPZ$h*O$-4I}Ln%L>t>x2ER?whIAPY7el~3q1Bra#(jnL{AsGG2y~I0~Gtc9Y+)S
zC$g)*+vM9}LC+2)?+;(wVADh@8~Z)1oH|Ryz6n$nd_0S$D{z_fku>zzfh`n*H!u}K
zmmLYGd49vC=407m7>-)bG5Mfae4Uq;iFxWf|JRrYTBE|eitjqPc~c;xx6hQZd4(U6
zc%Qg_*+9*%pvkrY^~3wMGwLsZqfXv`irLK+8{9COqCK8?`cH}i3ts<K{lqQ;HDfk;
ztqZ^Gj*ch%-vmYF%WJr*%8l^7^pPlKieSNQ8KC&%u2#We5nt<VlUf)DnjWtR@*UAW
zT|yhfP?HlhYmW$@isv=Gj0IN}r%mIcRrd6ba6Qy}MIM9ZH$Gi6UsgeNW3Zbjf0#gk
zq45-00?evoDPxqk>+QF4C0lyeuUxSWJP|q2Qp)Zp|Hcp+x$35HwJ)1n*X)t)wtCQJ
zLl^k<QszXz=ekw0M1#+KZyLW!stQ+^hzl~9c<lnd+*5lD#c<!ZMipP<r8}6jeU6?p
zu69)rD^>Ns)aDnsKI{g$0noMp8_X%cM6jNw_D#ih?Mp`DvcOAooaXA(M$Jxw;B?w!
zo)Nt2-G2&D&UWtMP7x?0g2EuT#B-lC$_`GhO9W*;>Sy>-Ot##py|yrA=>&vR{49}@
zoi5T<EWoaoN$K0rSNZ$s0Igp$Y5O8Q%g~?Z5z1WMC6W~AIdrIv@^c{M*7A0P$!x@z
z6`!dlZsuKj6CWj@-T^i)8oKvvK@0PH+qlQ#*3Bg4+|%Q8e+oM2uAt0ss#z_bUKB;(
zfze5Jl?_<lBe}CZR~Nk*cSP^?Ja}f=Up5iuFDxI1kcQwuq!aqzBaxbXb9$In)!deU
zs|F7#*4O=i4iL)p`;Nd>kYtD$ypL_f$0h(xi;*X{WZF7hrT^7b7|xaB3>-gFNW1xm
zz6-p49jzL5#+g0=DXKk6`&uY5Wh=thixK+c?F})d%?VDOQLdjmBZNSftwW8G7OUUX
zNBf8#;3DLKi;g(c@2*L57XexM60Aym{dI&f;rqAjx2T|3=O)TN2+COfxF@MhzqYG(
zO!g8>_aA379&4z7JUBS|i7(8x3QC+^tUL3AO|Tdhi2BBPKCt}FPUfYbGOp)n61{&b
zuQUBxyq*K$rlR2f<t04H3Fa4^#Mv<Zj>t_jyQw{m(0cAZsBoW#dhegq=$h&)Ad)zw
zW(7{%RL4wJ00D@X_$uH)K$@PNE}diT?Ek6DJw*=c*AE8W(cBns;jHT<ju#f`yrEls
zFxgmQkEj{~XVjW2N+L&8s^saf-=jU_h=p-9W!TaW+rvuETsFI#7ji$Jp4Hq|KQh{T
zB#~GwA_1qoD<dI53A(`uWz?nLMKrv9dkrTXdpLL?m}<lr#db?emuUWoAAEz}iRvy}
z6YUrdN@>VgY9v|~Fm!U_<9&VPp?TlncR6)A<*cQ=r8`q!{WkMfGBZDKs{8dKF;0l6
zM(4vM-u@wk2DE;N+FdXEYRa}g%Vv`xFT*O8(O@ypXmxP~=?Bi<#lRN%nWkj4>?qZZ
z$Wl^$`JS=tepO>Z#`4kWPycPY`SyfH7E@=zciEcEdX&v7FFhnj@0=`K%w0>nXFMV7
zJG=Qr^bZg6>z5zJ{DRLg{Ip4PA~seqHiH+++Si0OAVm{D&85TBsphj2AUgVdL*k?h
z*^S^=X<C}F6{_68<~;$*2>yS5`Y&|cA)Q<`E^y^rLcdJ>gwGRpTsf7xQhq`uy0}qK
zfaT0j!+P5&<;5WO;L{>&iH!<on0`Ow9WA$~lyuYa{yIOoQZSq}^hee~!Bf!Wk5QWz
zrnJv)6Vo-De`Yxcf*F{Pp`1l+Apz9VRP{Edky_>yTzJovZd)FPt+%lpGN${hDHdzv
zgQBs0c@{SINvP)n6yrg7mpAu%*OMiwt0*}bVq0>ko>rPtC!r-@-jh5ZqDvCt4$&Od
zwlbQ%rL9E&sLEWs4#e>2ku8E|`wk=@Kau_53(YJheQUwfnLSqyCzt(DwL6@eIuplJ
z)ZzW<-;VQBs%K0yznwL*4oi4V1yoFF$(2*5`Yk1#2Mkw8>NE`439T5tiOQ&K6xH`*
zgV=S@SCF%}iFeW4L)t*v&B+0V_=&|APYG4COAulPZFjb^jCmQB6>=tnd9AY++V7Mo
z4y$55zKQYB=MeP`eiQ21_;TUGan1|bpeGhK(JT=6FG>;)J~8*7-z&^$;hC@Cjcq6~
ziu>6#hp|LFc?^nNbI?CAhE6v%tbZ+)v4zqm+qq8VMLa&gCCqk6$+`HYxeoRaA;Alq
zE+H_Z&+f^|6QXvuj2{hVnEpX2nP?HIk1BEh?W#_~TScn6n9&DLEe*RlyH!Gakh=R_
zaW%5JbY>A$3H^7DZC~gQ-(>pOGeMzy??M7>n#eJ?2{v^}T6zf5oP<w;wluZJWZE1J
zO(>s0mUKzFu2!(#`u=cBv6hQ4Mdk?eL7x&O`p3Q(Srucr_yZh#_!;9Z(v2s@e%Ve;
zJ390i@nO$76mv0Ld27inxq-X!C_5&CbG%eV{+_OB6(skI(7PDSsM%;<#Nm0@+>ME>
z{C>sioy#OC=R9ubxuX1Y1nuE>yrw@1`lKu<&93Pm?t`wJjX%%YBiNwY^#A-Ua|R_5
ztlhfAXZxC~KPhX8%1BZoid~+quS9lR!qq@q5tS1wegs-fWkt~@>ohU1yi%&Yg^3_r
zCNYhu`;KS2e@A90EW0S`^JY`T2a;N%UI(RTeLZk;rKh}CBzJ7<>`4uCe9mgioEHDb
zHtM!ooCUWDh4uQNv6py6#z}Uy<^h9UlW~;Nm+`IrDWf=Bf5S76oDa#EZb_v7pboT`
z`EU0k&L4zT2)|+a-JX6uh2CVp$q$m<`MCbjl&KdX&2-L;_=ft!^<pv%t&Hs>)X`%1
zkpJ;h{)N}m!sIaU+M^q>Z*{rpgsdt==sQ+ltzWL{i}&C7=~+ef?z2ps_q6`ZNNRw$
z`Ga2*S|XDexl19Son$Q<#iJh-B(;9d>iXbyH*L1qR{0O6x5mp_=a|c^U#>I7f4Uz0
z-l6Tuz{{7_b-Q<lZdr`Fw#*e*`FOL%OL<W!Ongumx3EFQC6ZS^#y0ivHl4hf=+Q9`
zjuuCJ!{6xqnw!$3vFL7_mowPL)Vm<^B|unj_U-xV+~~^iZCFlZ_cZPCl!W4|%RM&;
zCE3sTm8mQ!4#i30ro6WrP^U?zWM-Rjd?&|$W|BUt_j~Vxrg}szt_(LNO;vKUhDnGy
zRHS)J=1IWjd8?LjrXbo^%~}bFAxhuOzAPRegn=03Q)DW1JaSN~dB1X@?<23F2~+&{
z<&mQ7kj9fk9(eKH%Tp@}8lOE~Zpy2WEGLs&=AMY>O33pz&0?Dh0+IP)>n5_vG~<v8
z$it{)jM7I;F;9MJCyyR8Ybn}?3JZLE2u_k|v_2<JQwNej)K3P%_pR;}+1b)D-!Jf<
z@oqfn?W<A;=Bgeq?>?+nSdmHn1vtc{PAz~M_~n$2HzT$YD6gkesJ(98x{SZhE@c#W
zjbXgANrnKz{JH$6@*W$1q{ZYdI1IRdtu=!l>#Hx;GWV7<w;=K{=cv_0ZOdFWB=TF%
zIgy7^OwU~lEtw@Zt<oNv1&zjvd(ZM`VjORev_jc}q_%X#)1vhI{V$n5&zW^Y*ThYz
zN(oAa_FaM6Y12nN69N|jn2<;Z_)4v!D1Q7YVZTf%jFT+&gpK@ydt8K4r|+Gm#A&P4
zGqt(?%ZTH$!ru8uYzlpii>a^9qIKVFNe>J7R0pfamt9rlV5ly7+`7fie7pRK*yJ6f
zS#gtZ={K`>7>!wC>Y4A37DVu<1}#>we2vDUzR|%$CE98OOrxV$pO||SAEeYjvm@zC
z{%wv<I|JSvaN-U`y*}wSflY?Ud6v<-r5zhXd?+6H92nC#749R(JE3PHwSNkL`!{CB
ziIU@FiC$sWRauNdP>cmPWlQ~SiDzs&fsOYLD5ngJ?taodfT*P0ljL%9WsQ(~lz1&_
zWi?-5BcSBEPBK$K_8LV}c2CxeCrg=+Pw9UoWoP2L%)ei5wPV1-wCPozQPu&IrlYZZ
z9qjEw)mw2@LzgO|Uw%Q0)FYC?9DgFadVdlLxQEskw_lbHB@tK#)H0o2hoRE>5*wuV
ztfZ0A=Sv4e7uBQkz&deDjOPTmCNmTk^ZVs)6ua8@n`!YOp7i#6l<D^`O2({=1i$E)
z`rj}tdpXPGW5gb{QvAF$EOj?7ify%?8LTQp72elTcCqF?0~W+IZnP};m3+6NU4V`l
z!N0&o!={Ly)*T)0Y<M6H!0)H!_ZDBMrRQAFc0y;fX3&Kf*?U`~#3fs7Udy7jxd3RU
zb-Bpu9y<cr)fHQRqNZJ419dagomFt8uJRSUec^({KEyxa5{KdkuN*q0e>wA`lUQlS
z&(xfsv-7Cu{5sB>H*}hv+;Q>*Ps|j%YpO$C@R;fk5Aj?%f+obEs=4VC?q~6~6V>iN
zIff4W$1P_XDFR<TOkMm+C<B4DF8Y3Y&Cn-u<kdghqCvx<S@E6r7+wr&F|&%+w`d27
zk-7q1lS!Hie2Z)NG_>35yW-OUV})ujXFPmvvGx*w{@0j83H7T)>k_3=J`q-X3*-;*
zy3vnMEE3|1OE>9f&wY8<GHcZN^({t=h5}xm3pB|tNhe#Dfk#%5KE~`308B^fOe!(a
zW2^XG0#7lP8Qbo_`#@*f){SD>3~!e6Q0$h5<J=x=qj*;2KLL~?>EI5LzmkV?npdNj
z60v@8uuDPxNq1h@hVv?S->=P0(n-~w;<x8!6d;cHa4=A>i^mJC%d#DCVqB`ML@7g~
zJfPDyVr6+<KH+~CR{OF;Ns27lFc?_5iO3S{T^gmFlemkfHWNYYk85oYir;=n24baQ
zwcbJOAgxUzdoD2ryK_$0b_JeYitoTS-Ngf;<VtO0iGiBQ#M~eqzA@$Jcn*md*;|rL
zXB-ro|9~WHDyDr|{gwve^g(Vg?_5RTCA+_IGD?j>Y(uR%4RQb2hxc=1<RL{a)%1>R
zK;>68yy{nq+X{&#v_|3beFE86K>0F?!zKVjDRSf%W4_|Z8QED=E@YxWty3h%g|DKX
zx68QT|3Qfm=&+@cm=gWw;zW;{+DZa`MC*iS(Zk?=I6HQxy(R1o(%0?nQARjiNsMCk
zZm&+N{h39v6q#qDBPPNfy|=flQ6BNg7w^DiI2cU7SU(z<!~zv)e3)dh_BypxF}4-m
z;-EL-uoZmHp`>y(gtE?aywxoykCnQ>LQO~8Ow)D6o3ZClK_KORJNB5>pVShMyX)M!
zBQ+rwXn2D{B3DGVBt5yb;4`5h;>Hl>^#~~Kklx&@t?mU@%0`ib@oJhh?V;%lwhHzX
z>fT%8o)M3vQmX3@@28k&u$2K=04zKI%(>kX(zBslJT2<-FDXdYjee7Nns*G;^Fw#d
z*}^a8)~k<hZ+{uzGudXnp<zl0O$qJ;_ME$NDCjtDM9!4P^HW+13UD4?dgVlDC1t!k
zH7$$=At3hA-zH{%*S_cslC%ZA;=(s;hjLlGoZf%yLkb-^RXBUWsyS$^+0T?T@iePh
zt?o+kvMFiX*%s29uce5rQv?oh!T-{!;-?H0HF1z}($e2#h|f=TWsPliDESO>BhG+(
z5f__HbEA|IJaUyvkNQnfGF&$WZ!_QFF_QgcAd}fDWR+>Y;`DtlWEyfl|Gog_5rac<
zX-U+P+l!hpVAod4&yNps(@>|(rdRtVzU71aui{mxU(zA%6z+0UXGR!SEe>G+3D{o~
z^NgO}-(e^Fn|=Fpez^~R)J^l8^PRlo%R!eTtMI<7jXaT|YIQPYDZ50**9(raCln-U
zG*g>z)w_MK6Pz4S+PI3|xM~mgf}BRxJV!AZ-&9~aP$6F@nex*fa~?2bxs{ZgQ`#vK
zKx~jk{V_%AYUUKYe)bV9hV4pSp<C-~%i(88nP&ms6eDAfa<)vc5ZD3lmD<4eXWOc8
z=a~Z*tun^&B`PY$)-OS96iXCL(sq+)a8^i>ZaE)KcN;b&LEul|DIEJclO^D*b>|fl
z&)7E&wgZ_(!y`Eoh{V(lo2J<Y9V?O%*559q+qTi@nKsh@2wMb=hErjo>94X^30$-*
z{HEWvZ7Ji2!57wuoEDVF(=A||YLuk?K<Q>QU*rS4_1)g_*N&>xYFgfk`jP2L9pdB%
zk9i){J{1|eUi8crh7`kT(tQ3HVFj@nR(C{3BqDxGu$sZ&2XQXllrWBK<x13-F!oC)
zOIJZvgjvlXZeqn_SVq;Si!=TxG7pBE{6))1AlISnQdWQ-qOYJyBB)%wh?xtL7Abi_
zULy9|dA4U_+<T0Y1rf;L8!u|&{T;l#&S<tA#MK9*eNv2MC1N0MFD#D@(X(8H2eIl@
z$>oap?0?{|o+3FcGBh18dF$N{=lZrHo6CoY3@S#P*~hyt-W_;<_#s7IuF`XP9qLUI
zQ;Nj(1WHe6Z2GDvUY8)b$O!tRob#`tRHF73;u5V^Y(NVAhPO!1&1Mk(u$SyL$I8rC
zCTM>AVFEdQbu)mUY(_F5(Hn_B7Po#)@hN5{f#MXE{)oZQY}3S0=IdBs&Q~fz0pZ>g
z{#1j?k<a#s_HWMVMo*fR4jyeMzO=ILZ8oBg;-TFK4-fw4aD141qEs86EX;-9|Bl+F
zewWfmIL>*0iVcalF%wQx_c-w9Hkaj-nRjvR^Sy>r^$%IewgtPwBq5UIh#%W@z)UDd
z6Z1nD&5ZP1p%*v|?3-nBznBWk<5k^WzH1g{y66${rxE0$u-tWb>klUHY4RkQ$EdAq
zBzsZnm*Wu;D2|~;q&Zlh;k#zs$GpNG?HUEq{SYN#`fZO%^%#^i4XZIES|pt9hpvSZ
zRI+d91c-5zqp;RFEn)xr=QythE-3JQzt?PtWp^4?WO`=6fwxfBLLKX1ka)rV*2?;<
zn^%s#P0vpaXIp+&N+(SAnTxuzhMiFQC|NM7OLW@Q@g~_GQpK|Aj0yL*N2o+Eayb-8
zE6y`z{}Rl#@oZ88^!ABFsjh!Ou7l=rglzjH(=aK2f`w##ChoM+>3<#z?(q~qy@0QZ
zX`0IG{{X}CbdDt&ijMu(wB$V#CtrLLeJir&4|g2H?MD2T%5@e8(6ja^MO9{|O~o~v
z1LPCJ(IU;$v;Xb|;CT}1kn)^B#lAU|k#l%Txa@y&MA$4)hsZ>b_X`Rf^#ksy@d^p^
zT^SVe17kF=>}0?uGahtP5z^Sb$E&0j%bC{MmmHx#e{>#u6y3hs{>?xA)?;azH}Y*9
zJLj@F-<dsYj_pOt2xv@~w0Bp|_rSa=*Ll#@JORo6f;~>L(Pq+oze~zB<jPr;Alrxr
z=4!DRg@sp^WzIDh?tH;g9O&c*@sX}(E`^34?)+i`ZVWpN8?lycj97ege#yUD?e-*%
zj}HVR*CM2guQ9wkyG0O4JP;)}ng$AEI8Bj<O9RC5igm;L-Kdd!-5w*})|I{*F>hpo
z=yzuK@O4NvY!R@nxDTHS51NUEYaE=(%o(&%p@4{7m>u)D^`%Hss8hUTafFYX`bC&U
z`|v>Q)*9yeG9`6SnxKj^EvD{0E}!SSajOwWEb$v;=JkES5^n@ADhLyF5MP{(DVCD&
zwE0NS_{^62b2b`bGx})k^ZZlxzBm_w26h8FS(#vER(57LCEoNcg5q6bkZIR-@tB%T
z#&aqE5X}Ch8;jHJKK+?=t~+>xJhMyO;2<n!|1I&hIQQgKhy{%df^(ZC(>L~FnV)~H
zlG6l4gAk>vgcK5YW@Ji0ycMk(0rx?CrQhCjbe*a4tdahiBIUTDTm<(*4S826Y{XNk
z2VQc%sqre0ov2J=vEDDN5V%c(%`<S(Htq^a)6HKBl>Rl{l2LPqha+EZKI#wS;*kst
zD|>4uiXr`zBe!Vd<C+ch@0&OV5=0EuR~b)v@vHmuF3sPY<E1PzC2x{F{@Cvb;HwG?
zHzo}7q$u)3X3pj`Pqz~M<ea<3N3854{|I5BOx_>j`M&%ZNHO}wnI1C{VD!>7|5A4m
zbSZ$8PK&eyh34%}e&t;ZW1LEU*X>(AY<h%xIfToEA6CBJV%%k;psNdy431J)xH=+g
zNByDQ;zqztc#eYz**jJ}Q<*9q$n1)80A8TWap{%L7v{P_FZ%d`+5+mHh8SM+!4*PK
zVcQyGY(tKx=Lkf`qINI*2LEwTwvg^@vBj4d(f!r_Q-b)6B$d&__;2G6rDk*Q`IhjQ
z+QWi3J0v@8)bKT*f;x}w?XcMl!6)akqhkt3EYK3UMcO~F5+0C~n<sCFN<Az23)nl?
z)gHb>Ue{oLyW>RdcODv`*BSh7A(hQcwAalHHFYhFQnxv_j%ocZg-~H;{8k%JO6g`I
zs=YwOYLcd!aXwBZ^1bNoSccHEM+_3p+}>R?F3aA4B$i?Hm2jkSv2_aP$BqwBYfF<q
z9v<B;XSRVv^uK8q+;a*pP*J&4Ise|lSEhnKA<e#owt$a&{EX{K;<0KrqXq0om2aJf
zi6m?~uhOFrV$i>MaL0OAaBi!*%%SzMJ4mfh^^}O<JBE_*2;N+{<Qt99!{>zO-#?jX
zdH{D4N<A!)cjK%5ePxNMu=|LTb&@)S?uUuzPuY~C&F=O~%FYjvGg!`^aPD-oyITS&
zqzOVqz4lYc3G*?AOQJZuE-yz=MMn+J5`))Z*pW%$)4y3)t^q#r?oa5rkPl?#98~eG
z8P_LYX-m*X&GkNRHE?u3l*9IX6ybmYx}z{$F&K=Pc+?3LsrdwMx@QQYVgLr{%FP<z
z%-cpq=fGRH)Ex0r*!PVCH6pWVrpW7D@A;?tqg!yYyG1b_CVh8fO8wr>HIfIWH(D?4
z?rc(9ZPnrKawovbfwVjbtP%D~@Xq>M&DD3tuzG#>u+Ny`+FYxmKbGUlpr2>#gx2+<
z8(cOkH<@sLY*KgYROs3%Kl9{JGQrUy7d#)!{itGz@#7Hn_$e<8o0b|qz1ggwCChgE
z<Ix=d>rHZOXueg6qljps2h~N`v=J2va`EDBL%H0@XCX&F=k!~9ZZ1c~UNvB*{R3*F
zTR89&T$rk8r}by)M#JZZ_yFW0-UB*-|J)3fqp*IU6lNE=)ylSi$6y!o8ZqZZ`800(
zx8jquKsIDuQ1x!<iIU>U&?$|9iEM<#ZIaZ-+fobQwX|ZQW=ag+jHnssj8~*|oSjfo
z=%HJ))Uc7{g~hEBHHmkk)(vsf)NV*=_8-aG8BUBluI`_P^@AgK7gcJZo{^#2*6k*l
z-qn0M?eL|K4<AnC$~1eLwWF#$B~@MR<F|!=4Gg~yCDtg7A1|tMtRYv*jf0$z{Ob#R
z?^oK2>4mqCkBq1M+6!H^?t7Y{>`V7DBH4aAh_XBD?j9`k>KGfZ+3M?E;|qJ|W*Y8h
zmiCQweib!R9og7k)6jHM%|%v5hRRqYoYix32(M>DXM?0yujlMN^5-(L%+0Y#Q~J=l
zXG6hx>7`q4nP->$54Yt{vyQ<9h_O&>`6vD4k|_<XW^2yE!Mz6lgODg&<W#7Gj|Knm
zhw^i*E{u<w?S~eFt+?cr$dvv%U}+g4O2^BF(CKC(QRRn;sEad8H3(R2TBth$eGco|
z^>j!kQ%f2*)#Y`PH*CqwC^yIR3hIux*4+JUaC)RRA44j%4J+ykU;e9mON3Bc(5l*3
zP6JZGUu>X%?PEU_m%f#kP^O7{_vcMQ5Yr{QgXz|-ed)B%-R&c(ql+=vTouhb+w@nE
zHSA1#*+TnlOAb*js?u*)ox4x&VM?=JSaN%GZS_}$PJ=_>a@t`uZQu7=WB2fFa`fAT
zm*2c9pD-G}Ytn^3DRZ*r+N;!aDZJg#MpgLh+FGQOY9R7}lk8`NEu|uS0KT_x|DH?F
zQ46hM#%{JlUl+E7EElMEoHf0sTfiKLl=0zit~}4pXxMCARH7xw*m^&nx3HCoA5nj|
ztjWzdd~|ic`QAC3H#MR3k&5)d?dJFGsnlt`4n&xN&x|;WS@uc=)XPil4lJp)PG>LL
zU!}>+zRj{sr&DyqTA?Pnf>-^18T)Z0YGRwjo0#W$%eLC{<!EA_M^WgFEit*V7o8en
z<(cCOllDJ?+?VK`f-yGkjvptg99m!hPUU<z>oIB?09H}}j*d_f9cnOgjJ|yPY6WoK
z(yr+l(TDSb@uxNObDoj&k(x7$2k-sWDTO%8ZwPNDHSHS~dag!|tFW(AS*=*X{GX`Q
z@}B;}$efi$hPipxK;9*2KPat{_;9LT+d#iv1RBp=;CC9}7>BbJ6zHc6i{7z%@-C@;
z(ScFa!@f}Tu8OQavyoQ0ya1yYav({%V2mxZ!*sZzvJGYOTDO8`g5Jsgox0svnC(o+
zJ`dk9Pg}G6K}hr7ebo|1qb3S*HgQlR<)omgo)&}fW8yi{HwOhumN%iF*^eE}Zh9P2
zHZjSER}qduV|rs`dX?Pxv8~9j>`E|>mY?)0A2fCYzS-oyS6Yj5q!+`%<?PDVsk-&_
zanpPU@RzrVZ(XuN9whm;Fhrh{Si85O@ekHLz#E(HRIXkcdZVgyn|<ItWsi}mEBkx2
zCF+dl_mb<D3Yil_Pu3*RsbbciSEgV8nnbvUmKN<auRP{ke05es=#$CJaiI?_;BChW
zhO-=4ww&^f{;r7)4F)?((_Ovm-yYlO{e3W4k?ZTBm0zpUS&Pm0?YM@Io;fnc@4BQr
z$2n!P=5JW;42gAoAk@+ek;7o`=xvO5*su+rk+z#m;vXVL_=N0X7~6m{g}%c1w|iBs
zD?|C-P4^T%fTQ}Y<Xr#!e(Hqa?mx@UFSH5`Q<#SxXdEwJm7)vZpUQaD9K$B2;PoZp
zDf^8>52v5sp2A=Q4r_9K9+EYuhqo`cJ-euR@AP=69R%D9yLxo8?#;Jz)*H}P<Y!yG
z)ixAqqU@x*tJqM|msXt0cXsgVE^y{Dn=N*>q3ZgZ($ZePS9f?iHp@J%-yOx<*U2x$
ziD{f0xmfVo^zn_8BQ|U#oF$Nj1(tc!qVeX_;m%JB*^*eyu+@BEgMk;~2=r3jF8_yP
zMeoSj{~_usz?zP_KHGrN-K_|UgdiXd5{fi}gfL)$gmg&PhJ-W<BGQN;igaxBXr-0z
z(IDLo-yeP7_j{i4JbT!7|M#4G>Yn?%=V;y_>Ui4I+3HkFyCvaZ_-nJU5;#e*WsSL5
zMKvB7eY^riDm5Eq*j(QB&M2<HpBXuBDE4Px^l7TnHv&qDRSb6?5e}`!^A+JFUIfuH
z>5gqIRY$%FO8$9e^3~&MbE)Q9v)pOwjDKwXk-%~jRL-j%V4>Gosud9Ml2J|CZ&vyq
z{24awp{v2^aE+Y;He1GOr_%+`+cV{4er2BAiFB`=gBq3pkS~mx9rp9CwQtix=-|Xm
ze>NZD<Xc^5ewHq8`L3cd#;5R7+qmJ8&LAKDWAo|V0H}BWaB=yf6{eD5wuC~Q<XD%?
zp#U#1V&`(Q>+tG`#BmGk)a-o{7)%+yh9pv#o*59FuGO*<zZB}8m_+7G2Hs+2EB@21
zV)##Xyg*SxBO>^dBo3|qHbg?7jz3~_)PIX2))3)BuCGxORa_Ve&np4`_5~em0J}Kz
zF|pu)z)-Rrj9r-d_r1YOu=>N*UN=^i52!(hz_E%hqTFW@wC6WX)}kUKsSXYf`gfUL
zg*>fbTmJkp;E-pzdilZLw4Z41!NGLaoCRv=FyqTuU3Eqner9AO0|ZJ(^`=1WgA=?Z
z%&4=I=(w5wap{YnXWvbX+lCApr>}r~{ktc&wa2%pWHX>^BU>-_mVEEtB~nF#oa>&p
ztrZ)Tx>~aK$<|hj(CO09Nv8Sl=Ib~_r+m8kf!~<vS~zoy>#Ne)&$CRvjCW&@q1~B5
z1ndFNI&`%h=e~Y<Q0izLCB7?!2nM%3RVH0bwhSxnV9R}_q_la*yh&`mCFwLPLx2zU
zom?*M3(?O84|TPmZStci#}DH{Rfl*UtBwg^uX3E}PlY$88nQG7lUW^^of3RAvWO~&
zLsv(t9na3Sy;okH=@grL9zF^f{%SQCqS&!vzcJ3;A*i5Rb@(W#*yt={p}9dl({gZ`
zV<Bv%@6I_2j{9rDciZR7<z>Y=TgaNx@RzG8Yc{ci(Ulo=Qb2ycZ-2O*=@wBUctkH`
zhUCZo1Z5ScL+Vy43Z&Eb{A*Ishr%%m3a6@<x-#U_CD~Wej5*~Ru{Q~VOVlV&3;92%
z_c<$U+B!HmT+E`#<FNx$mL%0WO|q)4thQ7?#ZIa$ri)}ry_bbHH9Ts%pld?D{Vf<3
z&!4R$3Tr5kTpK~YL0*M%w939{RzejXc<UF#?KYCx+R?C`&3f|VLX&0@(7=6`MiNf^
zM#j=D`RK6W=QZ<2i@s?_(Ws5Rhm!(NLlR0@@nFAIGe1<iugj_k;F$^%o!hBP#}X!w
zMRV$oe{XK>Jl2YBuOpZjA}J(BZ8(0QMV1sK-i;Wa>F=k2t))LdysC-Wnc&Vm=|(h<
z8*M$@Hf-=8I8D%GdYhzSV&Aj7n0j`#X2wqbyw+2>dU@6QUPsw|F(IGb{=x)q(rMS_
z^sUW8n!zETN#C`JZ>7K7WiQc1`}1*P+nv0|_EC|O70J~@LmH)y6HHNZC!dSx3|%px
zi)S}yx28r{$o*EbNiX}exeoj`^h|{<lvK)5do><InPX+Sfp8TSm5u7<&4U!3y94C*
z1<@?eo1fdnm@jq93<AfF{6XhCTKM(*zlT8)Arg(_Msa>y7l`Y>%L`)Wt}e?6AxqUY
zf!cKhP>r})6ucvDqO>Xb^!XEI9=)PU*-57&eA&(~G75b+Ze@u283i{VwPc(DU4<4}
zBPFK2VJU(P4O@U^w6kk2O)$Cpc3bb}>{lfP-oAm(J&}kI{f6Ray1EKJ8T!Ec2;9y+
zb*UM#>9lt0L4%AhiOW8~Khn4CZ@(3EX7|ouuki3^mnNt64nJ+sud3gbjv4N(8tLg^
zjQfr0N?f`yf(Cr_G-5v65Y=g)e>Ur5^!C2WbP~?Dfhna44+l3ho$n&Nl2$<z0lc{i
z7I~_rJTf90XX}ycSth|Q9OG3aM^vLr(Aluxv3moTX9{j?wYlino%>bJX~~i^NAHL8
z`)|Fu-`m`t0PM$dL<a|N9nZ6mi1sE6ovv2(Jq9)y+Nv6ZM&$iQBX@H%fOE=Pju=O=
z)hRy9=N4rd9@-M8;YO~qg5Z5g<$?~Togf2*q!O=3ih^Sws_=$B<P1Koddc)ydx~`)
zRD-`4c_D)-&$fI3@v{tR91tp<$-oUHJ*S<2Hu_u^W2>tiFEF0xCMQV8iQ9(>De{Nr
zyf#r@f>94KxE@23U2x}xvU%w&rIGG$7pkO+^bDfQspj{+*tiGRZbdsCJ$O8NLH$!&
z6Rxy>&-@eEe>nDvY@0kf{GcW_Q)ecd_kG^e<mV|uo@qxy!gSTWcBq)oF2)(JJ)a9%
zwnsA>t(_s+@0rwy@CW|bUmZAV_2#>0T=Qymr<zSJy|V!EH4CM<?&tFI&W=ePjcO3V
z-8WEaoWYJPIj~7=gw+~in)sMu&;r06^We&X>~0D&QahC6Z$F&EH3d&{Z<FJC2&{;i
zZvq`7S_F%w)`{&{w>i<1+=jK)G@f-tBmjEY-HoNj(v|R77bC}*rh+BMwV_zy(9S3S
zLyqMS^I>+As)~0WE;5n&b#(DzeF@bb#~x&FN;=N<MoO?bG|uFXd-jh|CVC>+wk3so
z_Ak5<0S$qb<mX<nC!@d1b0bHGg|;_*DJDen$t}|IhQm=mONw9v&UXIK-v16VVyF6C
zp_Nq`VH^b=FJFsDbgb39SzYLme)y2<-Ne_k3aF;4%BMxo61KtcqZ2l?XEa;}wl&eV
zmxW0poM;$*{h0i&wCy%LoR!lF_I|*y<d;XfxoVTo^2W(IP=xkm%<1&+P8B%b{_X>_
zm!UNj4Lm=-*mI2IASl!!d1jtQbH&>cKyT5k&DTcI9NeF~F#cMsJKS^C4u1)4qJN7j
zLa%5o_~TnuYVY?t)az@KQwyMhSHQg}1QSWb%)`Z*8;63hT{gZtCSgTAumi+|{L&#A
zHO?Z{2u@p*XT`bvqU|Tvs#vbN!;pAEwBMvpa!DZ2C{`U5$eDjHm^!5?rJRtiRsMq9
zyAo6IGhm1woSRk9v=;n)Q*F)s*KG{<9=5>Z@e3lG$47CY@4PoV=saC%T1^-hn)T^b
zVRv3-_eQ2aRrq50sP&or0C7YtlHlXr$6;%_p?xI`AD@1XrsVN|903%e7v+DOsH)XW
z$GMuj^6UObm?1Oi?J#%UKd(nd64+w#({-wnI0SV+HMy8Mav3`CKQ}kKsn<^umHrX8
zdoUoRwYLPJa?_;WL1Uey_$=Gw{Tn)QOHVV7SEu?be7hV;2yR|avJ#7Bee$B+C*0VH
zwvUZ+`5>Iw95gmKV5Z^X(0}6AU*J}}ZlvH1C=v3JPt_v|Neu&{x>_15E32)+kr4w(
zN2XgRk0QJ8N;VyGDqtq_OJcKYTJDtPulL6A9de-L!e9etEMA<MP9I+P%@SKIY+8K|
z`J+(kV?m9Xp*95J$%Xsy6qB@4m%wH7r35$k_1Z1(Q6O0hygxUjNgl}?y4(@JjW`9l
z;PFY~o--n#z0kaF+7YtQ-~^;DhMkeh;z95@fe2!p=#oOauc=MSO{^+DR^LVKyQOKm
z)01_FID;?jyMrP(7bKRYt4CJ9Y-!${1=2uO^I2v2xd;{RQsL$TVO3nxR!!C$!T73H
z5S3D4`CY5v5XVm&z8r9cnk+^-s+Nhbu{oNmwJwaN&KjQ``Wn=mt<45IKGjKjJb^i=
z;c6WG03KwctkmyNFG(!pLcMC54)u0P(waFJG`^AH4DqG-16<YniERocVbmF2HuIvr
zh7y^7nB_1MPjkJ;otV$DZ&#y=)k{X-gn~JR$O%Wn51~X#HkL8xG&zaqB?%X=Qn=KT
zyn!s^am4WHhf>4!Ujv#_8&O9yL08an>z=zWZEev;_5m~{o0n%>eR}J&o-V85E=OMQ
z3&N~CbJ>KQ<h}sT{2;_7Z+8HfPxqWWwnubLlM8nG;?<1%4D#eCc+V0}euuXy#2zOx
zCW?VJpk)1nwiIZeQv1Ye+uD%Qo=clR^EO^+Dlxp{R~B&L$>q0RK5qW)CLapVx)(~T
z!2i{%er}b?H%*cGQ>_^lYu>&k`MAC_<L+bY10&za(XkYRWrefnuUZR)`8=(chpK%K
zVt3Cr&u|c=%zwxrk1NgkX^MMa-Nfsm(dwzHlY~%;==DFl@vEZV!Y0wchNB_U;0wo#
za7iv84dSXTOG^0<j&;`#F@dZ;d7wn$CT~Dcrz?bvSN=R0jyHXVSWQkYFqRY=mX4MR
zn8q_jeERf>dF{_1O+D3X{Novr@%z%yAUkTZadsK;s#baMIUBe5K_k|tCEF!JsOil4
zc(!c+Q0h-MR!W<w`x1T7VCnT*w(GlC(r>=)2lWJ@A4auFcwiOObmuH-ZCUp!6h`f_
zlb}F}d_J3Ax(%{RE^SAMqkZZv6`u0m+gWCzqp8?2@upm;d@iw`5a)M+6|DX0%jTC)
za7j@bej8IrjCoB#y<|?Ev~K9nK}+FE>f+v{SAzw@q7Q7oDO)FY*bMq|Qx2jIzM7`X
z*L!<dD@)Jd6DWvLvlFg^u;MPeKfj{f|7KqZ>QhEm*y7UKotTs<5R=4p^zq%&XjX5M
z1b)Hy6N2C^5$wHm250_uHSzC=#h7c!+VMVL_+aY0%2IgXCFJTPhkH3WI*P{5hO_r3
z>XoM6VF;ysi;!oOj+n1}7$V3VS_E;NND|>%3qq473<^Np&5*#I?9+E+u_n;+5tMWH
zoxlg+b7Q2+;}?!qeJwA_CL<~BZzIKiZgQF=uID2d(+}zvJ)f}$yoLFAJod2*JF|1X
z`RVfypGnu2L+Q2erQs4}-(l4k4faJo7t^nbHTxp70J0<EM|n)sgE`iT5__9_#p&p4
zSzc*>$P>Kw7}u{GP+)_^`bcL|hMsfsH2HZ{aAMWH(OnwJ+uPUGycmca{wT>waI(dn
zVc0i*xAb2W{zyg;Pw>oDg{2C{hU0jA&2;6RgyHCg-$JEof}MU&$IcOLM?EpnlaXY{
z|NQz+It^b-Myh#fc|o0I%XE(Uy<YW*H<Kg>AL}GjrCq4%dkWll<|?TJX8cLXq#U-T
zMqqoPEFmfpUJb;+jx^&Zi34Anc}wKM8%nMKA5WeC%=`2@FV$$@6(w|o$%ymGLr<mK
z9d(3gD(Y{uWtxYT#97~&3MP|OewA@i?vC@XV!U2<7|6%q4TEwp63lcm<R9wC|ClpY
zJCHszCH+IR-C@+H>ZqFQxDw8!T@1eWx)FeNlHR^U<mW*b@~6c#9r=%m1PW%e?M>Qe
zjJ4V1QVu1>iEbXxo&@}3B#<g50p_GtzR0fgCntjlZ0>TT8C%Ud%I-~;4=Ku>n#J>c
zWWmm?tW%g}L9;Etd|L35h^yP~3v_EPfWx)uz^HyaMBSx<{8Saa3Z~8xV_xEeB*`xd
z!tbt7Ka3#`ed_X13zr*g|4;^Bn#|pO<%G4*#Nb+Z`!@zNalf6gpUsAo^L(<hR{P(C
zIDiQqRatpJV|g|gl8FV$*|b1%WnJZ%wd4@9k1$Qor_M8FM{s3`HtzHehBbX%@GZ<^
z{Kj^>Wqh(tLi`1tKoI%<S;=-eW>)(Qg0)E(e%Z^7bt>;>C;j7YZLVGx!vu|nG>{UT
zK`-vKW+28Uq{OQJCNr(~8AXU|e9w+|F2WXvSpGYs@khWR1Anr3UFbu_eA&As4<q<z
zHWrdU#IwzKm6;e>($jk1a|rIdjYvTBwUBx>wUHLGyX*Q`7muUK-^*evw6OeA%%f04
zVyUhB9;z)dd)bFxS(+i8Hs-yS8?w3jA5kDqiy6X^4Z`W=Xq$VrToWsV7+l-CxJe7v
zu<J>zI0D#`6f)6-5?k%m!^v_7+lE4_|ENN?qZ`k*ENL2^I*zGB&PG#}e_4X1X;hu$
zsQkGU0RObZ9lT<glY8wQ;44)K|MgPaPte7Km-PYYQP#w<fQc9#l^N=1%aWq>!o^uV
ze+m4?wr+oU_AcpKL@KXHcOboRwhMFj40#$g;wuI|aI2Ire4Y?kKZSdot|EdI)Fb(X
z`%!p!y-1%2s{fJl5YKou<PjNgTx*XlPlgxAZ#Jy~1uIU|(^-V4f6jZ!FF7JY8*ydm
z2ZgkK>G@z}5jM!XZ{CB?nwqHv%}J9gr!$?vdV@94tto-;nb5oVf5?*eG<{R6wVH#&
zAEtv(iTXbPIidRiI2+7+<B~UDoZ)=OWpU|291Xye5ZS0ps(gjor=)+luxlq3PyRcr
zL*VG)$UHiH!JMIQ(izOFct$J8g2odk@}@S-XxRz%bU#tlu4Wx{fZtisZIT&UCl=8w
zl)qwCb#llN2DoAS2x}roJs60Q%zyc4u(+PGlMG+9$(!8WtXA{3{haJ}naTB%nA2Ya
zU1W%a35${ZSu;P%pZ+t|!5kF{Frqp_tUJT3XBofDyBjpJHyO_=@Wn${j_VXqg3Hg*
zvs|{xB&UMfIS49ky(|Od)g9PQpp@h(CpXz{ShvPG3UdKU^e1qq`Z&>Mk93!M#q@XV
zSMSFAg4y76TXy85AUx-#iM#)kTxDQ`k2pfe0QdSoRz$}!zp1^#ZHQFq<X(6m#VmM(
zA<1f{W3sVoYAJH0e9P>bRUt)>(s2{b-{lPln?lM_E%dvN$=Awp{o3Fd0pG*u!|4QZ
z64V`?rFtc?qHs(4XhOl(Sh29GzO^KQvVV`xrl-7zA0Tb5WBR(0Hh!DrKRoD<S|LJ;
z!KJoCOlscgU>{)D$yokDNI3|=i^>SL=!nKOq%Pi%RI&g6g(?yy<suj{&TT$-AxoBK
zdnALi4q<_-bY)%s7Yl%5hgNx@kpF%oll(R7?Bj8*NN^)HYzO-{1_S6aRq`UPQxy8N
z&aIxb)ayp|c+v#Q61l_V)OzbevZsm>2WE4WX+H6f)b%;QI}F`6bR7YC0#WCO%6H;=
z{}rT+u!Q*rYtU`wb!ObUNJ>vR&@fKzGQ7KZY}fxjF=_&N1^o`zw@{G$?@;S$xW3}t
zmqk!tDeg-r0q)tq7ztpw6>dOx+3+Sc?%z^KZiGNXtBydX_>pdc+?XiJvuB-$EO0Sw
zvt}&M-;w&E+j%$_IM8R{{Kr(^uayvZDHL;l0B=37^5@76WQX79zT7}!?qFX63GNpP
zHVjT(DcU9p{8NclKuSC9e*<+zbYM<cw820Dk%vRCc?pOAYfC;{>xj5<V6qN-YxBj8
zZMtnr?iXOp7@)aNQs@qcNkb+B8Dl?={uKI0g0Dm_6v<{TCZdg3L)baIFz`Rglhg!k
zX1(KByiU+Jes-dv!tzDRbe26U<D}3(rX`CuI^(fbi%b7Mqo=wL$F@n1lX2|}W}EXK
zkX@_t^(#9Zn3CA`C(@%;oDMJ>MemQalEo6u*pm|eBch=x%dRWD&JABemjsibk_5|Z
za5QizWl;gnLzsa&n?g|I5v?=-lK>#yHI04Wa3j0sLa5Y*y~8^k7uRAt78p&-xR+!|
zhQOiumPY};{+L_Mlw9Ng54RMAKgya&Jl--HcY=L#Zt@@XS_uWB5K?K&M%r(+-AO?z
zFPXiEJrCtA_yzF{nZDVB$?&EtC+3B2x>Iw*LRyokujw(T=l105sU}LqH*p+Jo$gLm
z`L~Y294|EZ!ULwjFv4@11jC-DTOxZZVHyMk3U{S{{}dA4exY;`j*-QP!^r{lVOrfm
z{#yZ0E}CQca}z74+(9yI0Q%G2zN-I7MsPeH;7Dg64Zv*+b)un6($BJjX)n6MS0qJB
z#s&U86};Dh9A~|QpYqTri#h(d_CIs!xBr=oA$GaFO^$VmhHgb+mfm=#A|x<f5^R5M
z1c0r61Jso<Uusgh)gpZ7FUlD=TkO7ll9bQ>f&#+kY|EB|?Px+$>4#KkGA=3z+6$nK
z>(d`&@vtlY%<r7t__x6hcx+BNJ?w5G!$O#H#D|>Ae=B}^muTNrq+<q;Izt|kam#S+
zX5M{Ke8uoPD_dCl6D%!uaJYYabwFA>-T4goMac9|O8O~rG|z0DKCrmy2Q(lSqmf2=
zGqkOmr9!~=lH&)b9#l*cIbzna;zWjjPhx|Jre8E=vM3CutmfQE5NAGk8j9IS7Nq<~
zyaLmEOXL)iD2weCNE_lS)qN&doOkdv&-L&L^w8;+(4f4*ojb3Z297=2XdI=G!g9N#
zW!8*cfA$;;0NLx8N)}yn@;boA9XUJLG36vq_Z&@H7~E!RYHQ(fqp8FbvKee8b~e1)
z9lmW){z9dJb<To;vPg82C3+s`05gEukyvpyP%1LN*Zva)O8?Au2T}wch7^NsK)F5@
zD*sdh`Y8^tQ|Ktj;~^<G<0kWHGO5C*IC7xl<QADm|Eu`dx}aw#`J`BfK{T7UAJR`d
zIy*eQ)yL|j>KYZlf@fPeOm^%N+$@DL@Qn`Bs_Zbve#fh)Gi&@xYb+m!w}ns)X9?iQ
z+I6hTWwBHnbd!&5zmw%C^xT%UI;=i%T40+DKM!<OHUR~BnX?%>b=>k><B_xe$GwwV
zEE!G0vy3<@B}wjiZtb=%9TF=-WSf$qR~ZV9URh+XNRLxFs&sN_kLRU5*<L6}{54|M
z+<{wpG8Jp<t9QK6#4S%@bK=ueS?u~NGqtgoNxKm|X2m<d6#ccfJdVAbnbMtW`Kg!<
zDQe;Y9JCZtZh}iUKsl+mA6FWjMnVD-00$e8G$K`Ys|eAFRhA9cPXLU<Q@S{CB|UeO
z5oARHLsZv5P$%(%YUb`8%oOuJ13bOGIL7YFc4hMfPJ^e5GX4EmM@|o}P5#QG?i3GH
z)K;8cCp+P^#GOmyrf2Xs_f=}!ZO_Y}`bNYGnYQ>QGCkiC-B6L9o=7_*5}Fm?Y7^f`
zhe*G6UGgJ6=H@^6PVL|)__K;hv5TMb;sby??HiMo!{5Xqd)Yz<Jq}8y!1ut^Y1cl*
z+=LfS9pP_NX9Y1Y{{ag0-g|DG0qx~3FSn4hZ;=y{DDlM6!ZFJ^5d5CY(6i3t*KLi}
z!o2ki(n5!gWf*fyT5w`)yKT^&<A+GcAewrNk4P%<zSX<UakHP=Gn5U#Jrg`j@s4S?
z?XeHBQps}fZX}c2Qf}YccE@J3#Qew25O2rg=@Ha04031T+Tu>(LPi!QY8sUAGRcly
z!gwaXsn0nfnt#dquY5W>*m-QO5UYZ|#+{i!A4yLO%-Swi#f6~>MW4Jx;meiM<!<e{
z7|hj3so=y4xS!{#V6+mK=$*cAtH}n|ulc>^c48DcUi9`?tL2OA5S5t^dJ1~HeFkwc
z%?|{-@Ctr>VGDiKCEj4}cvrMxOFUW_{wTj_FxHjLMdGoXY9&xnIA-T#_US`i;>PD}
zE`Q;k(OKw}SDi>M%xZQGr(kcq4anx*<#TCbmUtbpHUWC`)*plDt~1M!`E3aU_&&NA
z?k2Ku#$@g1^l>FW#?QR<WV^L#Mf=RvGboM=Kzi0H`CVFn+j0`I&Re({y}T)c4Ntz;
zT<W>H(^>n^0dMxtZj*Q{=|6$=-bI)21bH6FSfC-IrgCsgzj3Ml{OqSs`<?HWcP5p-
zu%S=Ab1jM#vU^jHax62&{ZL;Diw_8L0g&9<<H8}eESG-2SuO_%j*V1oAcgqQQEDDf
zoNwWN#`s<o*~#ai+RJ;Z&i72u{x}P4L@pEzy&xNKp(^3~bcqX;eS%~8yL-Bnuurl6
z(cU$bd)8hgPvFu4alL|?l<n@%AZD%J<@ytr9p<eIp%|dX8czosc^xSWQJqr<cs`q1
zoHCI8Sf<_h6$b^%BMxk-*b#De4jg%Uw+(CHY<9e9C`Z)l#`@44({V%fNFRqYM^Gj-
zA}JlN80^d}`l`Wb&@tXp3J+W?+UvVkV6l1Ca#DnYLz-hpD)FSlgjBLE4$#Y`vg2(G
z=4^s&csT(dyOsPLVT=&owU7PBNiSUql2LNb?FYf0K*(qk)_f1Fw=y^Aw?QJdGC#;$
zr$FCGK=Jo#&lAOLScRK^MR7k?P(M2k_YfpnQk|_&rkYd97Lp^YEsl39F)G393+%%y
zt^PwnyuF%0OjPp7X;2JhAf)eky3XSru5ROLT|sAWsEB#U!YW1?V}LB+jFn>>jn_G{
z>h>`qon-hn6G=!8+%52lhMy`aW$Frjvcd3HZJI=ve7w7DnpU=9u0ZHdJ%4aUY807e
zW6`=~29kRsaj4jBya_s~2?MdppkU*M4qeQGMizpX%Afr>kDi>m-46$Mv$w&pt=jdt
zhX6+RIwnwHC+-C4k@-fE4wVdvJH5fA+DliEtDYTe`k6WE9>*%I-c((X1<Vof)p^m`
zYSE3CYZ$VbUzM@?gfU)uzyBn=Xz{S-xJZYpW}O=;pA0oDSJ<;`aM%3l$#9D{uvYfY
zNSbrP5E+xL!GkhUR^n+2+gnDV!{o8zp8UU>7j~-71Hy#p$6RkG2y8cKskw^5SpnR7
z+|FZ1f(>5Go6cnmX>(}ax?0RVKh+<xuzuPR!K|F+BsJ!s*Oc#qpwBGkwub>Y9-F)w
zaQnp)R?`?xxWKY4?ZUt9A{+g0tNMf7j%dXV12VzWr0mfO&b_(4l+5sL__ZXx$)6mi
z30bg+Q$*a63Tdc^iDTxqD|PqYGjNv!$-dN@Ae=cFdbl`Z&k}%EV9oiJx}Ba0Ui0Yw
zs@G5qO8k90>qID${MV`O#@D#_cHX=1jf?aDbh^KUj;UKXb!xM>ns3-1_tZN)pR_Bm
zE#%WZA9@Qwias@Y{|xpSl6$XLI9ftw=}f4CL=jLo0Qk3#+>8lZV<)G@<XC`EiZUsb
z`U}f>BK64yUc?m~cku`)G(91h(JGUYK_M(gPlCC#v1M`jP@wHi?S$Ztmog|5k1cDl
zJN%zivo9?}<TY@<fS(}j2xQFaq4Zlna$Kj{BkZi_fj{N?u(Ia1u}_I9#qVo6+FtH8
z4Rm~U>2G*FT@yWXbXSY=ItV`V4mi%c+u?<>9kjur+3a)irVdYeI4PPh(;aB?t?8H0
z)&MOER;qU1=nO?B%TjTY*%(<Xv83`;8}u(@NY1><tr89Eoq4Nb%dNb3k6_U_zR(ir
z<8zNE<E-zW+@nZ_R^HcFUWv3P7)v)Ua`Y#rPCye-&&{qeXw4lV=OqOLO@BPb^8eiV
z&6sClvF_CJ;_2kT@D(HH3Rx3w{AGT^{C}LRf<*^HAA1C?WW9rD#lHKhV7m4|lvFyf
zL-@RpzW8bmAb2RkZYh>}sN3L+gm7_YdpEV_Y~m*;aU|^N!!Cz@lXgYE6PkV|7<pLL
z^mqghRjvKLa=dq=)cSS!?8~!*&g?&BwZfA#TN5Ey2{)u{$N(J8+4vbIhPF;|O-S#I
zs7az~sS=3jGcsFT*-?uI!t3O7)3WrX&RTGFrHf65og+shNglSBU1JP!zkS~=%TO_}
z{4#Lq{kr3o^J7FbWWAT4I=%8K01dZFW@zufukRWMVE$1=`8~70881VBzJa#89~C5b
zBbMO`_n)u`|J@CEn(xzO{b-*m1nY&X2!i6DVr4!KkT=Zb+ed9yAF@06d+iCT2Uihc
zISQ){dD&j-SOuxdY$}PmU&{a|Ymimhy=)KnJS!Q)Y-REM3O}b%U83m*CY$mo)a6sQ
zANx$-uB8cQyWRQTSpIuo7L0t~a3o=@XJqC4okX_Rnv)@)XmEO#6iiA^7q9BY4T_hJ
zUWsrwtSP-SE&n=+=Kw7N6_srS`z0wv=lkL<>0KPU(LeU9!AB!LiyI*+@w8gJw`AYX
z9(N!hPki5RI<J*H2zzeR)rBaFpHc?(y;!+oQ+JyhV}Sm+kzE>Q9x_8&<=9Yk<As;g
z#~<zOYl5YI(6I3&xU_FJz52WTLkd!l<a;aA$#TJ0iucL?V!}Ca_IMEyS*OTDM0%ED
zgzhI9Z>`zHn_AUcVxqT_{g-YnO}qb+A-s6m#Cgj0<>3fTt<gq-=*;l9lgHBPD4)*5
z7l|JCU7i;B!whl`N5m~zMo9;s^q={9`-zt{$rt|7a^R}RHeD~q4>?Gf!3Eo()Sbst
zMl)IOkK*V3;&^(t0&=0Jk-0bxyCcQu#W}BC2d8AaETNWnyi(3>D=>D;%i;%MRLJ3o
z1#XKShttGKl_R7CpR?0*fj`#~!{~W|Vn|oDR2t$Hq+T0%qFECD+`7YmV0_lH8Fw8b
zO>oYYd*N7>$tyH&06!YQn5l$W66g}MMD4su2U_zmM^{oFb78~Am*@Wm8vxUC5aEKQ
ziLa|Flly3*w<mM1Zwf{DO!3)`k)kR0vRj2p?>@G$hH!)B+WjS*Dm@(Qs)o5=3kiA7
zY`l>B7j6fT9Np0tIKB{chVy72KGt^*_jxPU8I#C@mlz{s>vc70uW1tpQGRyM@;SJl
zd`G*bh0o{g>1OrG)2ocG+BJ1w-jq*Qh(N+LJ*?h|E&Dk>9{b&M1KQIzWy9Tes-z0K
z1kLL$N6K@$xZ9CxmvVkyY+QOCn*rywS{{(8?$|qTi0<5%;GLs+Hs~_s%~_%NDWY9z
zFNHbh>0rT6jW%XwktL=C*gS(qG*ODJ6N^0ICvf|7idK$b@f$x#WCq8!*!}1|YV!YN
z|9N$=fA(E(P2DfEzTo@f-HhpFpY=QH+r-fqqZW$9QG^>)@~l^}i;M`I2HTBlYnAvD
zMVCWf1NkBa7%>dLE+$Ity{?=$VUhP(Ean8G4u=S6in7zMOEY-af1H=aUk{54=WoL!
zpr6%`KZHzo4mh*AP`P|%m&2<=8jJc;8OyzI0HZKFPB3^ielnSQD;~$*MTR#q%E;?o
zkaK0j)idmqKTs{>HDSK}`o)1s3AU)N>N6Ur1805#T}%)9lVi1xLj{kktgH><s*Q_h
zI`y3Pw5mz3-H%M1xlo_tEnS7}uTK}vg8n`18Dg(i`lXCK6mH(+a-SE4lR+PY)G$TR
z1k<<MVD-~tSbeN{Gb%>tD7F!sKNvwDt7d4wHD+I2&(v-HAog2}(4oZr0xw;q%cs9b
zQrL8pbs&Oa-y%0dt{%fR+uRs7$q%E14!6u1&imZee=>R>er31&GWK;U&T39**hOfQ
zoy*MPSU9`diAmQ@pMc$l+h_*W_3Ifc3xl5o&_V4@Y1~9fSCGbXUuNz^T<$mJkEOiG
zxV*8iia##=hN6Y3XYlafPZUka{LHMPDPgqX4kRFvo{Uw$1;{(2aZ;A^7UJ0mjnyJZ
z{=Lw%=SQhNTwyj2wn3ul%DWek_**~W+*>S}g8m)Nv*-#&XQM85>SyP(jGM&<O1%NS
zhqdi4)@rc>X|k62-&UN~nXqjyJ^wuQksYwZb^-77huY)jzi-}P?rTZD3%?Z)-jhs%
zLTWB}MkbY1H|me3{icni=nMq`2Adbkumf#PS?1J#39^Zk=idx+p`UbH)^!Pbo813U
z>bjOB&yzALaf0RyG<HE!koO1f-Myt54GKPp_xwj6Bx&lQmv@xtpjJ<Oy{b)=YKtO+
zFm2b@he5ESnps0(9>K$$oR8kN8RnhHqWNU+ucGQLL*^@lB&}`|?E*5f170uTDNRD^
z(sF{HWSc14ds*zmX*TK`?{=O!`jk1~>keBUQwy#za7TA~l;<Q1vM@xN+lio4yGX1D
zHJ0!3>b??15?)4_mwE6i*MKfc(=4NX_87P?MGUS=pB*GyO@E|j$S85*Qj^P~Vz4A>
zBz&!bdOX3dp?9^}F3{#;uNJEd&vX+c&E5I&amkWTPe!49H6Z$gOA!BPrh$AkNAU1a
zaP+tqf0O5L@uW6JY(2(#StQ%hS9I#gg2n8*93M_T!$z=eL<V}F<c2X(5GWZRT(@S1
zs~@y`xxCb_8`R-`REM7U_3S|FUH4h7tE8@3vh^3HNlr%=CuMFxVz@6<i>L7jq61ot
zgc}Mr%3_@92ghm}hEwix&@x<_KGHkPL3~_g<hJZNp{=Sp6Oj@vsj6cS<9S%zKPaPk
zd3%tmecRqrLbQZdW)f|EJL-hFzfhn=F5-b^=%F<Zb#j`-NH7M5OA)fP<e#bb?A;3r
z1}Rp9$%UQ%6p#~{%-!#zUm)2+Fd0B+%4<^YTV4^d5Y(|6y2H)vYfev&TE{Ilew^#X
z=_+LgCz|(xPR+g1y(#IxXVTp!Dp8e7;?39%@%C#$c^L;tQ3;#DszB4QkAhn%I*rc6
zBJK5?Co-zPIBup7EM$T#UG+Z7wd0u<xVGK0gSQaIfA1RcW1+@(M6FeA1(m+iJ9KWN
z|1KIds(#RNZ}+&S@bqIu0it1GeGmcu?GlsohbX#Uz-r^ivd;_C;rgiyzJxrXgS?f>
zTR*Xn_Ii!!9vd>VNvA8D{Tvc2IkfNF{xS1uB=(D4YNA?4iEm2!xLCmq7{0=7JivPz
zc&#GYV-;+MvOStpTxa#xUu<#2!@dc%kA6Vl1r#!VO!qo6<ko-Q(t_y%Ccs~i9B1A<
z-JUFlTwL^Q!QS>MtI6&wc{We;yW@-PD8Uk-gQ}hgMp$GR#fMMksVkwbO|8bI=l!E)
zmwmg~j+h>e&y{x`y#@-{hlv|(7wu1^r}TS<f0w<k%S9DsTni3IY=rR|mC>!=esLG?
zp6wkpv0#ic-R;av*B;uqON654*cB;OFKCs(ay^|kudCBlUA&>6k*%jyF^-UXTBuhY
zCeo|^oy~@O7_dL~f`?29+$N`!QzM<D7ny4BND3<rAPiI;3v0FS95Xv*k3@9!L79+%
zDkBMpjUdo7ZBxA<GUmoj&+Z`+p?FsG9IK)IyXweqL%VHeF4a*T(Kh~{zm-dXFot`X
z8iX}Tc4^ILH0>cvK8W}lcXDi9n2z*ynZ{R=uK3>UdlNrJ8txzaHU>zy?_Afv3+aJ^
zr!f1?dNyP?j-`KdIQxd(u_UP_nfWMOEU|b17%gN#Ax}$6y=#G7m(bGJoUeaoCdXok
zxhL5eOhuBmz=|$f?zwwK_&7;|&N$AJK|iY>a&V-P!(Y4DW)yujI0<mfu(t;R^#G=w
zN8KLC;tyJM_x(6;5FJj=tX(r<>lW*Ccu?X8x|N^$VeJ&K9<z6)$|Kl}^{G-ZvA88g
z-#k+pzx2z7{(;0<dXF*`ZQAQQGTCs;dh+SXNrn;nQE%x+TrbpyW*TUEKgZ1mha6J7
zWLr+WjpGt4*Kp$>mALMoC&o?D=e3BKqWg|I2(by8yw7<;iyJRz2L~|f5P}jLk!7}y
zrye-NX;8k(VU|eIfKMmBrAw)y-Ta;K-HQfCRiaYgjD??e_GnrLZ)vj`<|-Nk=8#fy
z5q%i{2czIH{c|Hk(dU~WHA@`upOp8zpG4+q9-tJ|%~kD;#1AR}oi=nwBAM*hgP1L+
zS!}ok*gJT_EB0BgE!FrpaY&sSa^T`p2~OxF+UkJinv@evnge5Smcdb$f6dwF1hpij
z49ye7SKMKQ39)B~dTL1)j&ow^;SC&ct+M;+^L6nNerbD2UDJ&AMA222N}Tp$S;rrM
z!A@B7k1VUlQUB4r)csXx(R|Di=PL&qmxD5y9Td_)V4QH`gNG~O?smFQ!3j&%DEPgs
zu>#)Zp*pMh>PoaS@P1R4!l8D#MmFr5Q_R%7L>^yed*Y0o{TF?Wa$P@T`^Pv_f=y8!
zuKK-a*JaIKy#fRc#0EZu{MK{u1Lq)x9^MObLdto0bz5E+eS765a|juLtRQ(2so-f)
zLebmp8?XjF*9vQ47IL^^`K`51YeZ?Z#tSb{35XVlhsrotRXif$ZsDSG45^8-w{;OC
zqh+z%k!L~F{4Nc-fRG@)eXnH70KVl(1~M*V{?|yV*KOe`jX~2#v58=Nf-BM|49UiF
znT0;h2lFX;iy8bw;yqi!ul)*KXMP5(Enj)~!nGX6(Z-{z>K~n>>!AdE%zFK*z_Li@
zq9JuyH<t}k5}a6QFQgaR4uK%eF_Ux*K%)kw&*gioj4OD<Uu*~(e!w0$I}dSo2|Z(#
z5=h>TA~!W-a)8wmrk3GzsN5F^{3#>7`gyL0mOUl>i?v4(HAmB-@>@={t%4LihT&|&
z^%*Iy`nwl`u>)a__f5=hm2+_1v+TZNQ5$-$_sj!?`s4)@oF&IJU_Nm&?)0^9{(=qD
z8xyPBB}p~)y|i$xtY~4}q1u)$*+Rpc**kPAWiW>ANvtic)QXmDu9mJo6*J}PKGeye
z^_rOHqHA}!qo2^fW>(Z|13bJ13w4m;A6KGv%K$PPyVsq@9Z!cQdN$UbI_{TtGF_%^
z?J?7<*IgQZYY1d9o4KKKA4eRq*BQ5zcu^=i0~JgR8txB*0A2=Y8pqe}XA;93yOVk8
zT^$6pd42OFN)4ZaZFBBh6@9W6#_-RTd?Vp1WAmn=`;dmsWQMHkp}6qQ`t#MI)sj5X
zWx1}wM+Y@Vez)8GhZxSf#pxlMAagT&UqFX6_<1vVENk&F4Gd?q;@tOng>!S;U2-a6
z!<Yq~;a&IW`YkoIGYhqfc~e`KSmIdO{3jmvIh~HqRVxP+Xa%bMcqBa4FYeaQZCk%i
zGzQlh-Xmrga}jnGT~!ih|7GH<a9Pc`+r+_wk*-Wva}%NE^a)ke+S-*R!=|PUgTRnD
z-VtFBErZ|P;k5A5<?5=nQbg&Y+;<_=;yF&?*a(wfHCGeg^p53si>{H0(TR*wa)GX~
zze4gl${lZO5ko69eec`NC7{DS(7$oOohDiKAs(=OBU`VfAp2QC$V9r$)|B5-YQ0sg
zb!s<N(sGnlW`NQ_gRKfk>t65~gbtG=14?Iel-|x6cdGF6-u!RTTP{G8`Q)bP8q(qQ
zIIf6-o_O%|gW+?&651BRmktMx;^|+nSPjoa;gZ@A|KQoA5K&0xToYGJeWOA*{Be3^
zk$8#dd1?Hd9ZuiQN;tBR0bW>*>&<#}*;o=L7xq9J?kj%q4R(>Spk+^v;ye-^P6JEh
zeQyb9C}y%37^fMA4Ke{f)`m$p$)blNx}M#T)S)67=(<c6kfa=#x>Zi>fFd;XOF@3c
ze7Th2N3~Dee`l29_g@G<IsIoRjAbMZLcCn?n87J0Ka8jcDNZ`%N#^`#ZvGDAH>$90
z6eKa*3tuK>mE4cjPmc$Lsd_aWuH}k1q)v1U4nDhaKq^RBQZQSlYdg195lT$&gkNLy
zZ>!NT@JZJ>*wy+I-u2!Az_^@S1`{4J*!MmdUO(c~owkjUc=Kceh_|<7oC{fr`4}W$
z<?kv)y?LV2S{*EwE^L3suyq|--i#^3|K8VV?+cQ>5-<ZAHXNVVx?WK>=rSnlIa~IO
zVcask^sg=W=bkshm@{TL=it3jiiC7m<UFi65aaleKOXn+Xu}IIhJnGxApdZ=FE|y~
zHc(J(6VD-BEdob-O@ICIG@63+zgU2%q_M}u-+vCb3pen}AKT;b8GPdS*V0DFmF~GQ
zDG9_Hl8Uf*1<i>2zg?~aUD6*j^|Kqk^|;W*l48Bk-+E1u<(4T4*Mi1Oc|26Rf2-Wr
zi!6jw*wKNS=)21Jue36IcraIGJlSfXP6s`C#h=gD6ezg?6!>vE4gKK5-o5f=^kyD?
zcsWG&fktS_8!L?^s3O~ZTnJQ<UjhfU(Ar#AvtK13!9wb)=y5Y^GEE{R;!jKO$!J4T
z=_;pbCMu0cf>c6g9}Ofw9T`u!4niq^(%B%6ZdM6|JZNuZ(oshofg95YLaJ78s?8{Z
zOs~fibYj6>Uk6t|09D}=+<<}d!ksH{-fc*VOY~^+zkEBn?7gq}{a$y$XOios`5ks0
z^(U!MqjVV8P+z$#G*A-Xtn&VT#1w5-&#WJ;@}<KUIx6$~@rl>pTECL{fS>&dR9tw*
zi`+!dz3gIsS*!Rt?wVD~JG3aFdYHK=B*gv3n}r$C&c?re=6=iL70MuQ$}FK0b_kc4
zT<T|Jr`-mw>EX#;gMw>MArR~GnRHUmXL%-5bvk|Oe|f2zQxEla-klIeg#SE;+_s|!
z3a79H`707GaRKww0b415_QD*imwIwJz#!JQgX(Yv%tn~XsjtU<n?!FD88%!(BhKng
zk-TEIhB$dh0AxHLjb{?`3GA?3Q)2Yy0B}8oo-s3-r0+RzIwoewUqAOV#QrPJmM2CQ
zO<NfgvvYQ{!<WF2U=kV)_66sZkMrR)kaqLC@m)XU!CZSFhRtaPAO7Hk*d0+XyzvaK
z@plZ)C@G9F;bf?>-o&#uz>`m7E)?_RoQ5`w&}l%B;)5w;Xun?mmumjL_{?7w;kx~2
zdWL&3KO_pVwATczV&+J;@iFRH91c8b^60%0HfR`5%f-$f=7Ugddevm(^<yL@Gc%f=
zfg8|F&hj3S{JefAR03C@_jUiVKqmr_MHT_{8K^|Agef1?iA)GcmBsL1p7J!r0L%48
zq^oiwSY>&P)J2p4X9=@p4yW4eZy+80-KTXux{@kaFU}U~{7`Cve6k3?w`s8_fS!TG
zA^N31grqIkc9iibF8wM3Mt=Sv`la+WKlF71y%(}1%bC0J{gf6`eqVQb2K3ZLeqJMG
zUAytZCf1&N&6}#9TwE@%v|~<3xQ<vI&j~N^{m@b|dXRFWT_g|q{uAC(SsBRUL;9di
zVe~7W<fk7!kwo9GJs~g@5EgmuPmsQKuMAB6VV5f4dq^7TB_IHRz0tJIaZ4|~KFqK&
zw<KQ+aN)w~H2l!@>_Jn~jA;|ghnS{3U9o2^r$@%-!PlSP)KLIN8+bJEsla0ZIce&1
zx^A$Le1Vj@xD<0OaK9Z-$fsOChnkOK(FK_Cnf5)a>XO)`WYxlGVJc)~i|mzGhbQRP
znyQ=}Ks!%vY2WRxcG=8mVZ1LQTJ$i|Z~nw&#>S-E79`8_EXEde%U3w29fhAZH1qm9
zc+quePUOe8RgiPfM{g}nu_$^lxybJaGQ&-eV*l>OBdb2!002tYpwXh&J;m~Eu5ZKs
zD${TIn82H3#NVKU_ztxV)|O(3i_DaYu`nxMUccO=dhg?yHKtnS2)-7XohjzgLEr>L
zWwDjnGD^3hTJ*?2%~Gv<4%T#5F+&!amih<Pi0^xRL4*|xyo$KlAwA}N74IQyP`R@I
zZQ3OAAJy;GH_2GAhmJVMv^9sMPk<i8_XmdWToqkwdxAPXRMuy#e;mG-?Gg4Gye>P8
z|GJPAKQ%r8k|1e2AnCrcV#B?GtQ<RtH&SF2_%Wi7i`L8SLmeuq{=msG_M`e;HW&R#
zZV^R|6uY>j#w=r|(R%g7$Qv)*cBi!$l3!m`Nd$fTqrdQPJ#UHQHt%nt-alk-l$$VP
zU%l*g<omn?6cq>7@^^4I($X$0HC_gyBSpzAOG?tEph!T`FG`?cVn#iB<H7rUmWze=
zi|!8_p;h{t6GW0xH2l4^bx{aTWaFdWA@CU_>S9M5=7ORVr}QrVA!Kms_~HAWd2AJJ
zV6AwE=(Tuza-6GL&nR7*TP$N7CxWMbvfo2?O?2jb1fEaz`j-}LIJ2LONQI>2mgg<3
zoI;DD;hspcU!h9CJxZno44>-zvA`R%*o%y6hvnf6)SHSrz>v~;gOXD{0wn;`V2W`?
zv!G>=jU9s4l27;YxhoEa@_cTDxn3J9Rlczp{z}~MZ5J8fV+MgMf(MU+$a(&*161e0
zMeoytC+o3<UP58cxWngz@OGwd&-VT{Oc8JdZmt>$C)cG9WZ-6q=O~r>`68_}GijJu
z9D0;^d>76S0DO!^&S`wPwjuDOt#YtI0Z&Q_mI3CAk7zj$JUux3es%zLYUj6}3^{W=
z(1i)ihTQ_1hm0UdF)Y|uu#^y((e6cF+tZcr{XR<rtOi>44>sLTana<XD5NaJ<w}DN
zdzs3&7eK~!wLI}M@$RqEwp<%ShP{9-h$dbjlm-0x{A8WB4z#I;;}X>Eer*+bke#m)
zMVDAzn5!}7c%MXRcgyIy-Kdged>bv~3_oNdIdRIC+B#eG@F{iJR+zkn%%Hh$#HKu)
z9B0o=-nO`dTa%3NTa1RI@KU^JfT^c^^&!>@?mb-1d9emX!%gq5oeIJ@Ds2{ET3C{+
zalB&!dR%p-aiswfr9O6I=>*Ys0<0ZY6-II2z`p=0h<EI}FxiC3bS*6)bTASA#x>(?
z#1h&|^wCDv4}A6c@|+i0e!ix2U#PA^9u4=~kE4a$3^?2$kt#ggH%NnJwCBRaDNy&l
z#1C=~@mHYdv`1E{&~CneZfK4|qmSYQl%6v0brUr0Mr#OI@70G?!}}zP11;Ram808i
z-_z}5o&y=w7*Yp{(F2TJ^rC?MsyQj-wIIw!aUh5LSFUmnq=Iz-+2Y#Nh(n*uLNFOc
zoRsl)2*_tkR^E2uEfE$lG!7%iF;%gq#ERTU_I_{?%GqCo1vQ9mf1bHAf5A2ZZfqa&
zNYUIxtUe8lg`TciVFEEauzu9H)-5s3o^%^o6W2Wyh7jE+g~>H#C9ETwRLWb@A8%`z
zvU)3Pg?>N$p)7aXWqD{CQs;sBg<hPrbOB8o!4}xDmXr6l68uwlD!S=`{<KP;@uo~;
z&k7-<G$pSawMl86Pxndvj@=8eb6RS$kAT&GDU_GWLkvy@uFi5g-(&za<swCcM3QYt
zo65tm&!aDjwtkW43lpYhJ#f&%YZGY2!x@<mM(|AL9M9lA0NdD9X5#GQ1rnbV&_jp<
z8W%Ah=uz#Io^fj_QhLD)2^ZrRYz60&8O?aK<Xr<nd;(8C?iP!kOSteN)Gh+&e^2@>
z?QLN^(KUc*=*Sqt_?+1U0--L}`i)M3e)gZWh>lF1@nvn7&Q@KB2)FfH&+iV0qZ^sj
z4?2EX9bB9r^1x(Mtc0R(U;7se`y=T56~Zy8EEn@VfK}joSVqf_^CG|0^DEoG2Ia?R
zs!F;)B#Dgn0zy1~sZAMh(hKDMl1r=KTB0AGQzuR&syt;ItXi5({mMc==|^=OtsXn6
zfo}63lQ8Nyb3Ej{2$k$~-s*9ek?Bol8A$?fEsI})HdptuU;K8=tvoz){I=99oLPLj
zA>6RVoi*NQ_oH>=@aLbS#y~$5djYeK)(r{qVQo1rmD0H<A$3Hk!FuvdH9>}>X<3}<
z=71Amxs=9v&fa%xahD5GH<DflD=K~P#GvaQi?0d0dL(rn#gcK)EG2#!%96j{wj);K
zDE&3s4^GCgDE`pGiT=8#Vk=u*^kB`%V^?E@)|;B1py#$!i5SM&pj9M1{o;XH@7!Ww
zt!1n|F%x>L7A;*yi-vPo#2ih~gmw#O%4;}evKIT(et@13!36{as%g+rG%^2*!x0Zt
zSz){0PA#(mXy-Z2BoH&b_1u`n{n&w{SP~#SLbZysmH!0#&uAo9m)8U`j>F$q&dTBp
zyO0id3lBRyfqH?yi$X4(MiNOoRZ4a@sEdrJ?j|@jIL`&YIhxHFEW)%E{`PS*SXxOS
zLpxCqu>5{mbh=cX5vX&%$1-yG!&Sght8t1(VuWtmS(oO1pa1X7t=_>tWZK24QEbB=
z(s>r#I{^Y3R(9a|HonUV_@eU!;bj9qlP(TKvv5^Dq&kw{iZ0l#W8bEpe77cbUcC{O
zQhy!(grgjs1?$h7Zr<lrOKNV*e0U#6syVYD?4X*Blm?*lknbajuIJty0?zpmj*49l
z!8M7gqz09ELQ_=(luXbJmg8!F@_q&S2{}Dlvc4b3zY)#*DrtkK@!~0U$CH_RGep0a
zFCIui9gKX_#w3b1V%5k~9O+@(M*+Z*QntvJ7}+)J_s<)3TmAV2@}(gk5*T2cvzmqR
zI9v2Sro66%Ik)GiG_P2^SwC!_=)x>k?Ol*lI~Y=td!5&fGkz0>{-Py(+kqEjRzKl~
zQV%qp4t?>Z_$D9l5oNv4Z~iXb>~um3Ccg;6b;00qH+wKO#byfTGVIkapDtBh{liP%
z+v-kQp#}q?Wdfj@vkL)CHb%|oRK1OMs)hm0hAI=TCwc{ialHES#E;lN#5iO$u23d~
z*XWQK3%ifRW}rFdexiqJ%Xhn%CE(sK$Xd=N5Sdn${B373iZ}MUmv2lC95rGB*e-r7
z+*k`H4lzTjbx?Q^3j{gOJUJtpj5O80h%nR@iH7#JEH*pdq5p9gOEVc1LP%P{tAw}N
zC6x8{Zw5jNPU?c55KHpKvr}wz`>eUj2xyCB6sy5hsFhGMD5S|*V|4K&W_+11!Y{^(
zIqE_RLD(H$%;q)KJe=XwDtSM&y39;&-*K~9hBA<=gpIzU0N)gs?M6ZdhaIO2u9M#C
zBHH`eidiP85lr<wU=!2UBD-Tbi2dyk_K%2q4w{Tm`wDlJAL2bfk3E=h5C$;*K5r$u
zfqjA&4!L#Zy`eLHeSlmWP65F>vZIBo+vw^qTPJJ+@fjx3o7ylWO7HC<v+Gq11}{^p
z5(q`;k2lh|D*}3)8|hongs>8C%1yb=+i0$N()z!40BIanzF3NK0XfkUV60azs%GM7
z40ZpuTjlgSz|4#!70yWiHY#e{ji?O4Kn*Xo!_#e}1L$zNY?2>TeiK6SM!#QsAFEM_
zgFpZ0Za@Taoo0s&Pat7@r~4MlrNH3!?Eew=m0?kJ(Z4fvH_{+Tij;ICh=Qc3gfu8f
z58WlDD5;VHDy5QAGxX3PF^CFC4lOY>3^j1i48H&S+<QM<A0IzB=bXKIt^Hf;oSn;C
zaeyhtyIbW8+I@_?iFBK-dw+84M^D5wL`W-r9xwhCq(uMpc*o0(_&tF|Jo!cu#GpF7
zKaaY4B7F^Wr35HI_C(9Irm@Z6sMeJbi-;4Osnd9cE9u^7p(!%tV~hKZ*`6_zUWEgH
zAL;^|5?5vSFMiL<T5IY}r^1s(HD9wJTOQhH{}CHPi}1LOf6{z)NZuiixm&mwOT`g%
zw?tp-c7d6D1IYE=q^v=d@{Dx=EkC9crGG9tj40bKJ7PVv31z<~W&wjp4*z}}jIaW}
zP@tPDMVq3(@P9TY6Ka`WYTjhouFm`8_twSaHn2S)oAFVZE?PVp=Poh$IK)do)l7zF
ziUCeyl$!;<>-ujK0-S_%*MZ7yk@{Dpbs^-Z-;>>*P#O~m79^WUd2;h1#H7Ic6#$}S
z%<32IFjkG7q82n0k3(BA{O&I?b{1i8AAcy1#91$!{~o7}pU>%`vPBz}*!y*aurkoS
z0m6>}696&rw<_ZUC%H@C&9;mnj_^L)q0~&QPnuORS`5Y6LdL@<2clb*g@&bO6mL}g
zPmKvjvHyQtp&l@#|3LWi???cIw@L8uj`i>sb?<VM7<rlR65oWw3e4@`xAB@Byd6|u
zU#UqbMV8?X?gi2ceY_-`e4D0{tDKHo&A>)VoapZoLS%boGtssw7~|K-youfZkKCE6
z65i|+h@gg3^jYW}fwshic~(r?ALXS%o&&#QuXtMvSDpnO5}n{*gM4A7a6i~ovN3yY
zk6}HMfRI8oU!$=*Z70pzyAJnQ3B)wMe&?7>sC3U&^g#3M^_)P#j3&VEKrt5mm<OI+
z_g<GQCasE!IaUY!jTOdXg4^jAaJ(vVv|-Hf3O{GmI(h!>%l*u&m5+jmu=l0tf91n(
zDui5123dj2@ym&F@y-dODfb%-mWufS0*zj<`4JH{hBmSr;Y&tZ&=0n<2~`$>DsWnG
z#1>La;H8uWFJuA#KF-Z<Pkg>w6*M;V94VZ+kX7%VO#!Ds3zXRYY`rI=j9rn|>A~Zh
zaC7j!dpk21qeOQtjIjwT3Jy&v<qmbERBJ0qxy7oVus`wj>6V;4?a8ayUwME})PZLR
zfRE!A!;|k!6lHd2FTT6+2}_3-n>XqZc7hjS2KGDc?a~SYwtrq$xIhQ!`Wv8Yus9_%
z+k!H7i=vRyNt=n;Ce(VJXpx=s2YS5{%Owv_1o`*wCEc5C(<P9uTh}8+VN<YUE9?(=
z5igf#bMQA%)T3<^{?{lmWLEav8780laC?0%HU_{awoXy9k;HaQIBEnSI$WO*z?O}y
zbkp#YS!V}PUJYnC>JV$kbHtE8u_K5_I5V7x2S__TLS2)Xkwk^v^j5xxI9`^^-@y@7
z$iPX}y<%Be9TCMdw(M|7pK{i?j7rtTAvd=tN`YJZBb6hvn71<hSTlX792ezh*~zv6
zxK)dd{?3RbuLItjsg`esX^hC)Rs5w{tQFC&E&_PX47mlqD{<+IofZ&NvZ6JlWe>|H
zs+Ur^ZF7sfxGV}Hoq?LJg>YLmDEu5vjNcH3U*cnZ01AhZ-nK{5A>*01$RUoB2yB<9
z=9&XVM)V|9>=wkv;hnp<;?K==#$?uw$+GBv72#DWtkeP2^riQ~x`GX}IG713!t47S
z=fqE{MkL2Ic$ik6_^ro&TLNY<vbD-_W=XsH9)JLX{~xR5?Uu({UX5gHX~e^Z4-@?2
z<RELU!SYxgruM?s?*FuT&<OyBFHTDQ`Xk?D4I5m7j-5vNk)rOi1F;SFZAMCbRvLI*
zocL42$8bOa@X$_HWb+m1b8MKpoi)Io*;ixZh?jqj>DnqwDp-7q%Qe>W{88%arQWjv
zj8m3np_%L(M<sQoa6)UvEc6WcCeZEMtZz2x`k?0c&CBf*Tn!p7Z7r!zlP)v`*D<yJ
zbH5&H7hlK9o5#%vXk(5Vkxmi5pLwnFPjkb2Y9zvEZNimBsu^xmA2W&5%ld05-(f3R
z;7{EM;BH`XdO4657=gcVR@(!B5S&j#IFG7+(E~*nZJ(GgFLSGhqdG*3-!dvQ=eHay
z^3k~^R`s;tiSP)toCO4pZxe1KZ5SoI?N{Xi9O>O<t=a{}Uf}e!@1}TMLufYM>CNb|
zr+6)MQzxi0u}TM#{VbCzCoGWvLM!`9%^^YjzDO&E>KGqd66qa52ycYFrNVMlRyx+A
zW&riDiXzik?#q7%`E#0C_r@ROx9!H%am=P8Yk*yb)~WxoGoi;9vfSfGVrP;)(i+Pw
zcO$gnaqwdpV>9kKg1%22R5M7ksh-2dW^28_TqyFV=7I}xP&93d$UN0{S_AS=Vpt=$
zSNWCnPu$>NnnPlHlO7*%VX5Zp6VM^a1^O9z+YNE1C*{PHi?fvfAkW)%FC;ZJfSXrg
z&mDjA0C?r{-NZa%&VvfOf>%YEz4bm<p(eR1r;PGAj4!1jiQs1sR}&#q8Q8m0u|}w}
z!ol|iK>+>ZHmpnBFWTWBY1fDUj%J<wzW4XV{F$pu1d~0?Ae$Zt3ZsGnhYFSS!yKk7
zh-N&BE{w)AhXNF+)$;x&QlwdB-FId_Fch5~hu4gG>2G7SxLWXpZ=AaY!vy)U!k6<E
zYv}Ta3pv6<>!YnQx~}%FrldA{mEV*|OpGj>r#5zf6piNQLthX49CLDssD~@Vts$=n
zCKaPzg=?Py#PmDW`_z_Q2LPn9``a5%tsD&UvcEmTDfhQe8Q~sh=k%8_o)HCp8*OIC
zFLD}Ay88F;azFNni>t7@&J=~Y<G}jcrCqM)5X3E?RnKR7mf~4&m519&vTbg+PvAS3
zvRIB4?uwuGSvCHUF+NP2d+z*W%n#lQeh`uV_XAiq#Ry20lcsIepS9IgE!wK>lmHy<
z+Da}+h4`?$Y|Ro06*yj(Ww;bKtvf53UvT)gs6{;<Gl!G7K#2ygvc|p3lC|34ko~do
zl|(WZmU}iX8Uw*Zdx_ea{_Vpz?wOi1MN^c?_y&8NKO5#OQ=Wdo2^&uaH_UNDt;yM6
zn+po^XaX&d><T0cp!WMeo;!A#60nn=iMR}4BD>B5K6ADH!_%;_D&D4*PCkQl?0~R3
zUG<!uU*yZI3j4c1vbfkXqWy=l!|z^<uZB7^4Z+-Lq;wu1o_S;8EgP3I>AaZHvy!PQ
z9W$obafBa2KWX@JdvBQZHuX(|=XsX9e}HBXfaRL!BQpuD;7jf=A5&3)58IcBRG9yg
zo;COGV0}E^77j%3Xi08Q!^IQ!wL+T!Ij{pvb)2G6<PPw&0*4FfT6@+lTb^+~!D_Ct
znAb8Hd4w54;AJO#G*S0^4;w{Y=W5CaIvol`qrVBG%G~I`uzCd!dQ_XRQiI&Pl~bBY
znamrg(Tf4)=n)PWO-6#b&(TYdR*%Fw#rZW&%Quet0;lV7EA=XP0nF)lkFHtdd~w^Y
z(Och|MetmN&49!16`iX;WKuoPhh<EoAqL+)K)J+;i8a&oXcZGM*D3l}E#a~)gj~vc
zcQ1haNVMKQz8UhxEN^%3u?~O6tm*Z{<*>T0*Y9+^TkZ~@Z8^P)mqcir3kNtv#+>77
zCZee-#a{<#;*00~s<C}54&{@j`xH7vkzcln_vU^j8b)Kql(n8u8>$<4P}d#(J5r?a
zmmPJ2l}v`^w+(0UVgb5C)itew4kJe`xBj*1ppI0#S5wgF&@-76;*DD{&=aWuIgng`
zD}a6dJnSS?3%)b-=+1<7JbAn3yXu2C%TBA$t?Kc7=zD*K;xXAY^(J`-=bmx^fSa#7
z0Yn<YCmN8!0lkh!htYhFf6ujUeRuA8g_y%Z<A}B5>oOM^2FWB<<c$4<Ad<?40^)9*
zmmWE1wvxDC!G(ODS09GBvis+Xg0bizhEp0HJTVWXxsvCO*tkde^;LmmrQ|f3<%n>=
z`iG6$6O<nBh3F-suI(l|IV>ErdW)vCRwhK1w`nTY*P8r$d%i|{zT0(QqZfL3w#-Ch
z_O3L{qeX)2-vS>b14p!t8pWPsypvR0#Jo^;7Nu)9r@oKCp<7AhRlhYS{JIF`MIh=0
zp-fZi9VU_45p5C!_0;aZLNLZp@4`xRAi^#c13!v!;2XDS05fQEe*VdH#Ok6|NFc>#
z-~QZr5ED`=9EE^a!=awv>OjmS1095x=%hf-(}m|dOHa-x%et2IhxEZWIiM%<%6BsJ
zCYxc!>xf>7JKTA0AMKZndeNWdXMd&w&iS7V01*i0k#bSl_um7b@}C7fFh13ako|bp
z2nZ<WA@sIkuDC6WFVI^Ih7Z)<va__z`DRn9N3b3lZfd{PKEc_2Q=D;p;&!H9#%;ry
ziM^h#=gyGGipLgT2T>8S5wmwEeD@~JJ#XE9Wgc@Z;ZC?joKknOx#h_tdj8hk`W3lf
zk-dRqxA?^aPl=jW5vQI>i{=2pi<CBDE&B-(jtQrlA}U3P8qXPlm14+AIMW;l@+18{
zw_2|-5rmQgpeY3t^DJ_!o&xIpjvX!R$9Z>t<mRvA`ZIdil=Y-Q2`UC=;}rDzZQi7R
zWWwSQ)S}nX{I6*}!>+RP5W0pJ7~V@34KU`APZtf4p@&xaKU+K-a|&v!K7Hw5u9q;6
zEw?%sW5Mvva~l?mGw!JX_eD~;yu89OsG@c_H0+hZeZV&+3I=ThEp3dx5b%T3stB&R
zet!*33oWzl*{>jFONB>B7jbd3iSs}0Xh^N#AK<>lFVcR;A_6UH!TS8~**O!_heoyx
zAZWtm5z4J=&>z3>S7ToDSLJa;-{`y_rpVV*OM@;5^1J@RCogz!YR_RRm^rGSgH4*a
z_nomlzvuzn+S@{>XWTD7kh8>VKk&DQf3JddBKh|)dM4_PY+n%*l}UBrZ_oF_<gNSO
zEyaAaj>A%x+c(UCw44ho94YZkxmaU&+mok6a|wuE7Div57COT5@+DX3s@G-nn(#BZ
z1}~oP$<}S`1N;`0tzDV$721d$9#;Xk{jrUw2a6xP>B`!__3XQD@)~Iy({zJL`Q%z`
z;TS%2qDG=(-mAkZk{mA`U&nKmeY3r6SXZZ*1a+rl{zWKi1A6Smvhw&_=H?q=H8N2v
zBJ*N-5Lzlkbk!!H9C34ha^tK`L?X$@ee$oVCGh!}8=C`sW8o$LH%Adr?yf6JjS&Gq
zwXt>6TT>csL~;fx)Qvnl7G{4+YO#ACqoWZd_1`SO;oRq51Q)JMUmfrZ+R|yXLqA%Q
z@zi4W`V@npJajg{BC2g8)9{dzhIc@s;7FU9$TH#Ebg5pbc157uNBHCMfHxw`3tr#C
z*v5%Wey#VwY6$H6N^fF*dH55lIL$Zz?CRO=>eyWp)=&D)2E~(~gcF_YcPV%0mF3MY
zlYi<ie7JYSFNzETfIb^ScTdL?$&2Sxw|@N(U$jz~;Ky`8`f7c3YSO#K=3=ULsz{#m
z7GO?m{q%RDVYZd+wva^?iTjCjK^uGBS3h=<N(V-4pLn(NHFxc*eRU^%s9WvRfQ7Y*
z<H~)eUlq%5tMJ>BN!n2oO-66-g&4YLF<Q9k+^D3>i0rQgP6LSp&an~o-}nNvvmTS$
z$z6R{ad)Nud|GKG4{aaHapX2y3pxUd8F@*>S=b`9+S}sQgD=Y|VK-5BbygxxlI5Sx
z%is0Hgw(|(zSH5J&HvnuwY8P6<Fj~Bs7)|XiKh5{UG5!d2?SRHm5+S-I<YS=ob59_
z3t&lL%&oYq9}fHQ=$XGvB+A^_0jk7fJ=*10J^B!A+MmVX=eZPtPG70FGzTy_0cY!*
zNf#za<9q5D)fcMK!KD{Wut#q&JfRJsU?k^9F51;<ut|-JD)Pq7RW)cA<3PNU=OaW%
z*r|(+dcmv=tY_D|kSu@%>UGQnuYY3v7D!7VgYL4doOg}`u(!^fs}IT2LDQHpCW{Yy
zg+wQemnkGBBq?i8S>)xYZt#b<<UoKN(ar#Z<q<J&Kb-xq!7sHj*)^zvF<w;YETj0B
zLau3`X_F!|#C#+60-r=f|C_BGOos7wjm(sAL`A{ZD8+=2cvs;!P*n@9%Rk8?i+DK5
zlwO*@W0_xWO&NGIoql`5eIGRj)}C58SXKEA`(!^hw_AIs&?I^$&fLw(Gil#|pd2At
z@d#D}0*gzJc<^m+!PL$Fv=Hd;ociNshve15B5Xw<rL%PfMuQ8Y;Yq@g2T#rwn@E(@
z`Nur!{>RjCLE*>aTcaQo<!^=82M7ft092O8tsOfEaM2acXQ9M({Vv|S^Qm=+t?|yE
z__@rRLdGT7!4HCn+pXsY_~a3{z)#=Mr<v39?<k6E(;LRlxr1Cx-6tHKW9>cV_43-w
zzLs`1&t`jeRaWH%1u>bhZ-m(JyT`awimI+vL_|f7Ri7wDnSW87hGGbyJl@QrZpJFq
zNaJ&r#8-}?;3@FNYR}M;1n|)d84KES8q;WVkqPR6lE|I;hw*`>a1lco8`Hz`w$N^R
zPcY))dHLYE>nj%F^yRRmtW#w-&%*0fX(E{3xhCeVKpNl(Fuck)s%Rn6PhrH{Ua#%3
z8%(MD$8(iSJAGz0H*`5UoRSx~=zg3vUT$v_B_!82s=%jlPp3uk_c%VNj{9>5NRfOO
zC^q`Nkf1ngyzwjGP0;AP@#xIhYn5!sK~C0VdNK=z=brLI7w-nHq3fF>b)1q>7p#BL
z+}j!#&boTn7A}6ZdL5Uhw0I6J)GCdo&yA?P&t8})Pk8-j3Q?E*jWx(%@R*ZvSJ~};
z7eT<*&|2P5il^!^7g(@ksa#7nRj%;G&d=+ScOw_PE!K(OFIY=@w#^<$yvB_QJTzNn
ziO{trxjMjz<aqbTBvKl1zCQ8BkQ&mX`tYaO>K(Uk(5^<rlWyl~^MB3`Z4tUMmln%(
z4XlgbeYDWy+25erNto$RsNeHwUXhMzQJHy-DHFTjbz*@YK3@x+Zm}e9Y$C*NHPMtR
zK-pM6yD~=*A_r{QpHE*&e^v!p58xbBjP%In=O=;g0(Xa2`h9IZNngyiFO>_*a19Vx
zK>Q^|H8l>&(&b^!AsUe;kYgo%{PTy4Fzl^*hThDXvpQn!U%s5IvbZLmSpfCu&hG?N
z$k<(MHF}#DYKPa<I-t;U1^Njc%d`2%V&xd+B=tVeo!c-*CoJUO{$3lvMRQZ7RFtEX
zdA*00wGcLUHFHZJULtX{PKNI_NAKJ}Q4)(gLP_d9JGC$dUJRj4x#APdS9;(}ym99*
zhIPt{$_0(4{Q41*ZI0G?J@8i2@ZSdC$#gj24Zk_bjTbv%dOI<*#<IYH8~>hA6GV}z
zTGUFhGS=SE49*K{Yg!xnZ9he31#+?dc{Vce50EMWP^AQ?m%p1=ACgZ3uUL4rhE@_T
za|04c?P6z<-(F<_=B4zOv=G}R91*CH3p98Aw-|nG7ZHH(ZtD;S;3F-N$`-e3DdG5V
zWX5JVxgoyAOmrR7LVT;9d+A4PvhZ|Ak@0g3l*J}gz%1Fc8GlRPjgXbT>GfeBH|xbS
z@>w0fX*xpl+}9T$9YzPEAMeO3As7P95O-gZ^ZUgFH$>_pTQL~#!GmHrb%ZTkK;kua
zGd>bANQ`fZX|vFBj|Cu0KhNR~I@sUpveTG+9%5V-0W6+RCQ{``BM!Lq;j)t35MJWm
zsZL~EL<<}m>1DAErPk}u%SI%q;bjn>b+%f;F;TsE9eo6;T!byN@McjVJ5DU8v_JMK
zA`K8Uw?`y1{sbyG6XL+o7g9PO!87@1heS4diR<7@_!d6Q#^Y~N1!x&x5hQ?@#2`l;
z@e0y5|M}XP@T5?}lnxG+dfA3rs$4d-4*NjW4$KPDAt{%a|C*4x5FLl*brc}XL%w2{
z<QdsyWJM|ucx)lOLrE&jW?PeWAxt)W+sa4@qzePn{{UA738syz89o!AO>9Sq(%(RX
zRKwk`l?Df|hq1**?Pxjyq~V^&V=gQOS8VrC?e$i+R9g(RP?Me1ZB?#>@BB>FJY)jQ
z?xi`ea@5W$%U3jE!_k`x^(yyuccFhcVv2)sP4D9%Uw6ISb^EhJkHGTcp9&O0kPxi7
z%KV)p81KN`BJmYF#sFY!w!lSs0zm*iuFVNlYuaR#+vVuV^1$*W^rY;r1vIQ=pA5@l
z<c&!-T`{P~Y_#wwh-ia5Q|6s_-6k4>Hy|EfNjoa)zM6RnLiHFvi;(4jO<(J&MMYR*
z&YP4ljmK`~`;>$Cd(Te)feD;n*jHKH|57^$08fm&=-oMW{9|*oHECJn=2Qc2vg}3g
zC_swJGV~%r?0|j8t<{ojvE*E7*kgrBE^I<lZOfsCD=Hh;hZraYdq+>oUU7D;$J~B$
z;GS%MAR57u`A7C1;u4+KGkz9<2Dd7+9Faq4#3^8Sus-X?hRAb)Q<N}aVxAwbs7)~B
z8VV0UuXWTAJUuwHZZ3At^~(dAp*Ug8JxjK}R`YZ*cnO{hPC-V=fE$!VY@K4>MApN8
z!^V!ixj^B)KcVEJ<7C_FkqgBb{J(?)ZG`F7CiGF}bBa;A@Ia#!d#r>Ov8IXqDS1|f
zH$H}%JP;Qg`>DeZn3gT3QAGAGpd_Fudj{~1H$@dfdBn4RMh`z%v&;=!NjB5WE{^wk
z!$EykJljf@kw|`2#1U;i7fet&!8IF=_1`9njAs#J7qpX`#Bb{{NJcs7THi4?e}V;*
z^Ib75ch|PSOC=FM(2Zb1dcdjFRBgmXVL^DJ8Ci&HEupG5nkfr$@B{cW8xaUYWha+)
zq`BD?dB#iOvqL~I*r~w2xo&RQtPJQCvdUoEow=`-ZTYyP4uIi98~GgmMH>?{3Unph
zaqwAQ^SmsTw<mb&0-q}X{5vuaX^j5LS__a`ll*thaxZD0YBOob>bf;55~z&|aT`g%
z*lu){Bi(e2-)N5|%Wx24Ylng*P5dUw>BBTjPXh(;jp&QBoBm_ZBBlSc+dzeT5n~|L
z?m|1z(XdBS8>8v^G?_OYVDb8MMV66~=SU6Mlg!C7U<YfXzuEGpQKPa^^@zRvhD_)?
zfEr*f@FoX0e3HXt9OV%Ho`7hM>}y#!qpA5?5*Bruzamn8nA95v0A4d^jU8>QP>=s$
z->foV#PlvQ{%a`Xcm(<KIeU8QTpp~cNfHt>x;#%-k!hS!jD5VREic>!^Yb>;<c^V8
zX`~*xH@fyeKwQ&l3p_IxiGs9EM#4)=*IhiFSj%^N#=wX)S3j)twM|#iXK<e*?P0Fp
zCM~@|8PTd2WW0O7@Lw#?*8ZE2<ry3W0BDdbC=Rb=*Md6I#WP8}yn`?VOTV2Vn;t@(
zzS4aRn1dn;1R4<i7V$)&Mp~J$VLC~yxdX2al$F*B7#1u*gqX8<n!lqj9=pn5*Y3ks
zt-4IX(yo22E;rt`rZ#$X*?cHb&BzOXcNtr?!cd`vTdy7Jto1PJf>;M3Z14+)SHPu(
zkyV857wJ)vZlU?dkhzH|%>Q5}*sHK?t3UI74aleS!`XIk8@YR}sG6LDSD60!`2k+j
zf1Cjq3bB5o5NBWpZ@ebAx-eJ_QphO7;mMucyAP8yS>(A$w_^i$x9lt;rSWOh|1|Cx
zTn?ZrL?u=|_rFoe9>A1AHbr)Jy=2fjk|FahKUOScJ~~{Lr?AjQ*3n}Ia@qZ8@#dRo
zos9jk&GWH+{Dts0<LJ4b?8iP0Se|%BY<;6aTlMfgxIT=%@!z1RdAv4I5o+Bv_Ge~Z
zIE*q&!E+*Z7?KotQ^##?@*gN}T7w38gd_D^FZ8C?rbyM?66;pUMi+F%#jw6UtXuQU
z1+XlL)?x_$vHwegfP{aus#<Lm!PxoiW}1MA*uC}g?a3%}pF3Dm+Au}L;~1c{qF%Q~
zpAxyA_}?LUcj1cU{{gBn#`c*2ns7HiX~k%a9$O@76qy`sj^HMyQxZLXGS@MDl@_~I
zHH4al31q0W{7~GEI;cOrC?c+GoP_4J6<XIIpI}7<%;>lPT51bxEN2OAsO`l4S2YRH
zb#VnU5DSOXFSVf9gN|uuYr}tql8|vQHTLa2QL`2ALg&xhlU*XR99TZb!_2_^IkC2q
zKCcRF#et65)9St14&06oYXC)nA6f5D-q(B9m^9lmtnQ69N-8nwtO2ex$Bvla?&vfX
zo5S6e)`(ZCz2VgK$J0hdm%T|Iqqm2g$Yz8`I598JO0@|v^gI}Lah{fo-T(TS-hJZN
zp%oPS>sCq)d3B#9HApKB+%eTMP2!SP1ILYV107?mDHeMQF;R7v4RBCp^!noO<DZkU
zlMUcI;B@cWCkkhVdbrp=;6=EPcb+vW$AT=UTQZ6JESw6lLIF_EQk(-RAfH(v{a()&
z^_DJUn3<4-<Dl09{$W_KKIM*&VzRFOg~`?WA1MAPEvp#?(~HOWvM(3^w-;-=YzYT|
zRS1ai9$-AB9%(4RP8lkND@&vIu)&Oqk5(I~ZE{K0WGMcw9-<~Q;U1zgbV$Ab+GGr6
z%@s&JbHaz<P)OG=qJ^1BVz@cnu}l_Q)jM6JK84%5&lX(`5%Ly!0gMM%v%y|+S3j4H
z_TB1M{Fi%P1EEyb4FJY3fE8(9YIn7`nicl1Lyj8;q`kGCv__saLieK@+%RoCTJGl;
z8`FUSmcIl4UTjUQJga>2XFx+-18>}Bd3-k+6eB>&OqVrPGkhr1I>TSj<StoDWN)6#
zzrs&w+aGC_${%wmqc>TTP!Ij6>qkc?82wy?okVh+W;sy2_f3KK;R(jGuJoEt9iLe~
z2BU-stQnngDZ|{`?j0%dossUmbuX1ydjcOt#mCC4of>QQG%(iie(u~_XheSXP)Q~7
z7*+8jP+ha<q!G9-H8z^mN;|cH<2o-*HG#(q!?UO8=K0e2$dU*c##dbvV@cnHyR17v
zd;6SR{OOA^B?42GPM3SB1=ISN9r(<WUkG#7%xVkM^|h_4s9g#*e~hKgbK+8M;5Jse
z1-`aZML0QJ4=(hUT8O3eO=LK+RY8b2@ImJhs?PXbif^BkG`Ojy9L5xF7w{*o7b^JG
z<#^Vc$gG20v^3rV1lIJhijmIP3vR{BQv)B@x=|UitDljTGf)OD!Vf1?!dC*F$yBn+
zIR~`A<JE3_37XrF-<+OCovf;b`eE8QxU%Y2<zD>Z`kdeB&j-*%nR)h%c-Q~|@)q1m
zJ(dw?d)8+K+Pbeleoiz_p$nR!9>C*ws~!bjiT`sKD;HB4%6TxrBi@yknNYEz)vyQm
zVIBhHkKQ`I7@Y-HOqF`lt@9kJBfNBb>m@u7l!yOSNWfFIAu2EjK8rsK=473r;nN=3
zyr$f&_%eH{c5pEMq_IzbZL6EUVN6?Z8>=kVn+qaslS|y+NoT~2X1*xC^KzTc7ixXv
zb*=Ksk@PmhQciQ>{g)3@c@s>)p9K+ynaE}@;J6n-=z<PpM`zNyC^-(IJNk#@RXDz$
z21f}%RDtrZ0KIKL?a1QlvH1ImnyI`f<E&ZgxnwUzm7kI?vn$4%`}O^{^p(i${2bH*
z7}VKE#Ie#r{pjxJb^%DbcEjXbaQemgvIAf~IlpH03_kxg&AkQuGLn3=O;|hiSMg%a
zrXQ@a(Xv+~BgJ>Zwxhzo%CHOU(ne5$C4l?sbCXowFX?;_t~yBj1=5O!)}2~)kiw%&
z_k;y~Hf%nExOKL>>1vc!7C+()Ha`;yh;xnaiy(sL9RKs@Z1b!K5)gp{|8#bWjW@od
z>bCvEodQ^^ddeRF&>HlTaf#)gKe`EPcz&fbI|?5^DMcMzDp?t4waPW@pt%e$#TKGh
zxoa){U2Slnt050Nd&g11sBEK$Wv23y84W<J$y1t1yA;2x8zwykmRLTlP|bY8x(2Vd
z#t@bzBkFfcEb)_X9X|jTyV=4~QC$FTr(N<3AQTOD8MA+bWja?Et4}xI0~MNv@7J3s
zUtRZ`zVbDa+979f_;5RM>|T*SbV0ux%kKy>1IzEk*S&`?xYwsB0pdG4-$Z12DV9g7
zd-k}Pg#+T#9@&<}3cKdfQ_OUwUSO<`zGkuNf&V|V@xuusqSRqi$gG%B<}4^1%y{7c
zN>O|J$}U`D$!`iop39NNj8*Ix0h~lY(bUxkj`>IZxqQrNx{(kqzbzKnMgm8L^xU%#
z3g+k^xrLknBfL(3an#`jr8)La|K785H|~O+o_rhKVdUtS)B*@&mBFno_zMgSP}A!I
zr*?%+#hf($xKzHaJy!WIPvq5Frl`>EnmN;GvRWF0Aq6(u1$#xa8=yZ_Gp5fcdg5e^
zu>xLmz+O&z{ktTV$CC$FA3n_)&8-bQ^*T6>Xs#Z5e01-0I9d>UX*14Bf?+N$5#@9g
zs7l)d8GHwSS$oy*k_7<oZ{qwV<gnLGaAWy(q8|G}^6N>?Z^LmTPs!nHZP~Lj$CFId
zrdVxB*<rO+pls0qM6G@*e5&sXE_3rx{}!uKIU5lPtlW8>OfT1~ROf7utJ0@k+guM+
zHBNIJU$(MNlLEy#E?BQxtD6D~rV=5ryiY{w9bGld^BsjV$?i9Ct@uEHhW(ly<Qki%
z`WG%XE>|@LERF^$gfRRZHT=l^BW0aZ%ih7Ke_`|f@ee8+f3Nf7m6bZzKVDMX5=cq7
z5C}NA;Ijw=+3IH^zz^!~Yh8W+*u973(Z!#=^G<5@fiUCvl8>qvY37%v)9XdNMdR$@
zVNIq)WkEiG_q8e=(3|&~J^{aD4zca|i5t;Fz_Cy6=YC8EJ_in6AUdjE@l(Eo6Q2Zq
zlZIgTkqkud_0E9ZH@U!KdcYb5zuo}cq!u-}dD6(OUhccHuJ@kop`$ma2m)vSb5CE!
za{KHJ%39z5qq^0!cSo23FkTG_wf<F_sxZ{F@|N{pnBZo5Lg=TY>E_Tfv-{y=_@h{Z
zOQ7(_DPtI#7*pv{&%qfZ*8F=f%v0ZAab^smDNNt=PkcO6ZHoFz2frS0k#L(H-eUd0
zydc4d>HrRE3I6`9`<j!h+{IaA7&_B&f*<d_&xi`*VtV%AYzDHNsfy_g-tyHaI67NN
zay@Nl@;htJudbF1IqFbVtbG_yA32gBn`;J~fwXXXs+Uz{Ihl<<2rlM5nCxV}rdBqq
zcz338tL3zJAX8HDt|FB-s}p}f&r9Zo-xA#hiGJ)O0aw(IoU@9oIZ$%E3FXY!9u)n$
zZ)rJXEhC#JC8_t5&k`-`c3tA>Jq{<<OsOyNuSBy>Je;yNA%n6rf02Ll*+6o;y+l;<
z1&1v;gDhg|B&|6`s~$;y?5R>i>?uX76?YV0C=W)H(o+#xVV7_!F#80AW7PfJ@G$y{
z))tnCYl#`X=ci+bu#4Vn>)JnekDm$T!eqJkAAd@(b(yTIE7s4E@@d1x9(`C8G;c_8
ztI0p&<hu)Z^o8e7Jz0zmZ*CrMpZ`y(W?$Z1K9s)Q>$n)220zsKH3&MfTW11e8IGBt
zZatb`mIvMC`~#sL&hOr&4%;4RVzQnJVOJCF5rMx^H1|H<T^S16=^7LO)j*j%@J6Wu
zk=Jf?A5GJ!bHa$3Q}X<IotntGE$HmuU$GC7j^3{Qk?3ep4ZQE#Dmx*eHS+9lPc8%a
zz5h%g+us}{=1fm^df#6$gC6WKkdY$HK-SoEDply|fSRZ+e%PeE+3xhS2s8MZh}VhY
z*>Ny(+pBSZ)@El9_|Qtk(+lcxHoNE}ZPQ<)Jv@r0)kjXxf*iFpI0+3@ju)?d;O{=d
z*eA*_d*^c`@g@)(C?EXdkm#0-5Gc~i_S<;Yb4`0f5-Tb9mgD7@`5aMzdq3)@ip$`$
z3oLi^V*0QoND`br*>|n-16SWPAEm3_=I-uh@)WKr2s4cWVjAk!yb~j;F=*Cc*$1jq
zasqYm3hBzCrWO^&dKoJ_E=U=81^G+P-hH0_XL|5!7=OSQt?k|3t9IC+QgEyKb_b0D
z;7ZFN%hnqJcvWFmU9`}&H>3l$d+j*w)i2_os2%_;G*>RiEY~naRRQlZKsSZ|eqs|e
z8d!qHphyMO1}0uAVpAq>f}sC4)kkJ~(AO%H@_FO(`38Up#@|39g}vG=buDssI8K%Z
z86ULFrmug!s?5J$)5eF`g21pIN-2T8*WA5+$?EEc&j;W}LZH-o@5TjW;p)Z<mL&9n
z$Dn_ay67psdkBNNYHB-{0V$s;Y#==Z^&dtBSd0eJiv~8WVASz!jq5pd!~^v%Mp2&d
ztjnyOAa^Mah_mMD=8U47fG$3N`sAD~?AZg=u`;dg$N%CQE+rm<R#&G{<97pNpXh5k
zK2l|(^brVnWw^J9w8Mp>Hr!Qy-eVht?=9SW4k}kast^rsx-Xxah5Pq$(;R+RFlaNG
z@aNXTX@UW_wCvb1H;H9&@icx+%?f6@Inv2&#W&-^;$n0#XL!2qyd0~NAGX+Rg<5Xc
z|1P=6D%?Fo+&N=^LMOboWrzJid*rh?mSsQtaA{hgGLmUuwm#r|U=}XB4?P#%m$NB*
z@_$~Iy$m|`Qal%6h*#bcL)@CEje?TQMV^-hqj-^(uG8rsR&%&XjIqKb8o;HP9H98r
zIuS%{5BQMKR}V!&c9zdY8o$_~-2(!Ke_+`e5yh1?eh*?E+Zc~J#jTCb*zZ<1PT~t8
zl1(qAm|=tCqKJP8&$((Sbo<@mjQvPFfyZjgc?F05=V#g2>LgXl8JDf5A87^>0V`Iz
zs*>D&nv-t(LkDAi*l_*D&nkU3i`_HPPF!+s?8MPWX=y^}={_pd-mT)dQdE6ip(J9w
zwN_R?#_*jlXXG#<5N8<smrouJmW*sD{Ye(1*W42=&zJ-LH7f$}SNTuYxGEAAi}fOv
z?~)9=@Ykh3!P3-JHlF{IxC5?GY0Lx?^p_>S8@HN@(HRX3t21+_YO}<Z2SUR+NRjq#
z0Y9OKSiwwaV#}5hcZYdxH4PxkL}<DJ%l-i#zP9I%fEIz?R0kTUf3&Z>kBgIrmztCW
zD!-9NsASQnb9Z;pfq(uI3m_Zb1fk1^@e*Ct*^VW7)ViU(EJhs-xjh;PUTz(^IC$`n
z#-d9aQ}}xDPv1`N*usubz_1OmSuXhM!wuvhuEa={TDug8Rtr#Hj_U`;em`lX_@LDB
z=uM<X_0TKva11C4XW872IL(RT6%_mXFIYCmS(p&o-WmOaM@fAUe*AUe`e;~yAuW!6
znoB33*C|q$tDH(SfEQMvIjhfkKk&2d3Bx{DU#$PD6~=J|8;aix{{}*Q_@wb0Pg{1@
zr3LU`5+4QHfi^Tc0p1R3e;+>tTHAs)zO4Ii7U0TPZe3yMLU83#4EQe27CPXUwot<k
z))j(wNLK#snz2u7stBfNU2Tl+IQ(TmxVz-HOF~1;_5~|UO1?`Eq`6LIq62-9%MI)U
z#FM8RLG0E)>Xd-cn_3{zarwvsM$(xPzweTUDM&rPkLT|HicX1ZsuN%>jk(u~WVKuF
z&Whr^(r@<a?R+2W-qZFS&k%MG+?xp;Yf_%r0d~DVf5)k<;+w5#K0DFdk{BCRI~4-z
zWdgS(DkL~^lcPy<e0LFPk9C29kAMv>nDa`VhwPlnx=(FKCO<^!+|aw;l}ycD;3P3^
zK~d|0Fb(|E?_;d`ZMmtv=m(WasucTm|1B@3(9s?@RhG{~3TTaw;}-`N3JmQ9z!r=&
zCb6wc2y2iU2s%pERyztwcWa-Jzl#M%EkTb{1+>*qjOaQh3f`))*-a%!?<eyX3Gn~U
zkyJhFkD<)xsN!{!d&nQq;Roy@<)=}RX^vXJ9w;`BSOyz^Qe)FetrE;7jc=T(l`|(^
zC!`u+(peYWAzPH`(vldAIn>(q(_MJr^n%0bh8}9%)VKZhx@ajY3dX0c@ns1_((@!|
z%=VV`5<Q;s+SX_}CsN}&UDJ<Cw4fV^ldS2>qIs&^+TL4Yv5TSgc4vB7<fzaDa*3DR
zvFY9tK52HI_q-NW;u3vIQw!!83`(AP6f1Q=i`3-g)=Po1PP)=DIv#)YE0Iy-CAm2O
zxjNrIF2kAcoeD^V1_$>|-*YkwlGpY+Eza2qz1^+_gcnxQkJwBDq^fz4|CUuXlQ`dc
z6Up8fwQCE`e8jMX-E(rPkV?-py_b59`IN(-!!6=VFrqDR?sIEeJWfEHm3A=LWTQNk
zSjN2~L|rp5RvdoPnA776&HtBx<bk?djrDZ~`EODuUoCHr&?Y9RfzxY_PD2hw@89t5
zxz`4%Qgpk;>H{<HXg6ckCxQol(|_<W8g+{5;MxiXK2q}M9DZx*ypa0ox-n2&V?7#M
zbL(z9TinwyA}h>D73MF{{-Wxg`Zk*8p0BoBYqw5ncSC@JdCBJ6I>734)zJvWGDw@>
zIVH?ltoK52U5O~<+Z2U>Px=8RXC*&iGfo5FZbx+&^G?4d?<+F>{u}KWaHEjhI7T70
zvi_*OKRZrQNqYohJ_355>I=L<9u=CTBfP#<K5-tTw;q{T`UW*G@=)V_nq@GPXyCW0
zrZrfp40gxPo1lOdp`GLAAj6Dys?WvwYs6A&^9x%^?cL?9SLIvmn@7Cb9U^FMlKN6_
zYKHhw3bOsrt>(4)_@g}Ak4I;U-%pk0bdOHA?)=!z;G;}FBlI~3wH(lHBlWSCp5ISL
zxuClcU!)j8z2#~l)VbQ4<^Q{Zmc;3y5=4J5J3*MKl}=+^Oix~%)I3~hi;sJ>Kz_#L
z`mU~oULISY9G`Xv9|}nKY1bm~zoU)_24?%(-tS10#HCHrQ$<Ye0G3g8(m3~urfRxz
zwfO3JJ39`C__0Vevs3(4wc;zUDsQWsO!>2*GEdD1#GbD)hpaDtbF9*9D<V?uZ*nV3
zMcXB*nsyqo+NEy3Tb8?iWkE+GuRQpO-lSRbF}F@??7fdv&ju8-ZTm5kET#ZD!tvJe
zFP(MSUv`3r?3HQ3%xTi<a*Aw|q<uyt80GZ`I9H5O4Cwh14H^0BT^{m`fb;h|DNgUr
z<HeD>H(P>dUmJeSWcu+xutR3>YReX<B=Rn&N^$Y0c8e57JAU2soX$$B-KbN{;&VdW
zw3Uf256|9=QSb31GUg3<bL!XPzWIBTqwzTEgHK4HzxzgXA``cND0+Mw4e2Atr?SMY
zpMhOp>TR7j*-`FNn<V+VY>Q>}_4NK(>+3Ob@m)uc>E2KZHEFysNHGX|#HMImrcm-!
z1nh4H<VbG$=0=XKwP0Nx<xcu4iS@Zu0sj{FQbF{CEGk>0dXC)asc?Ijdg9Uc?j`($
z$GGL96a&yS3Bp+l5ksTiS?iAFO(DiFR(X*5aDEb5zDFT$zwcH|oxDQ5W_+curxkXq
zE*R?h^nrk|R^z6Jb4ljWUqVL3BC?n#qwf>F?Orn(mD5^q%+2u5O_m^>TWTv7ouBF^
zKt&aldHd3@g%D(nD^%1MxeQG$?Fqc)*FV~l=tKZ*YY*CEC%Sg)a)p)eaaD4oMuJM1
zxd$@8{YT^0?8=L3&dusJ{B3$N3k`$K0CRj0sSU5-K7SBwbk?TfC^iXm(^U)}^=pO4
zsNeK9?)jtrBJWk@o+G8r8Fm>4Hs@KwO(*5z;{hu~Vs!UAJrrEAY(<L8G;qB$@5bi}
z{Sq;X&b`P5(zkYtk!ojShXqF+EiFW;QgxQ*_$coxed0x^H{@{!*oUKibOK>S_KuG=
zaoxRWOKtPPpUoKtyM8|^UtFH2b$srRxKGF{X(DCGV0SXcI3{qbNgTD9q+egQT1h<Q
z7KVS7DV4@PX@o+)A^iTPZTDbI1Mh5D@auuHCQf8&hL`ce_byrJ6=zk=kI4YYOs3^f
z_N+m!9eQ#y7`!={&Sf;vL(IKt;(1Jim#6nK&&{I#$fazr{DdDAqaH+E17`QXYde2V
zTsuoSFy$~^PqRGQeMW)YiwZN2S=bcREu9<*yBnS-J-owcUBdD1`(NJ+m?9ayOI=Mx
z3~;pfD_Xqwq;mrkHER!%Nq&_@ya~6=9n?RIKo^{00p7C<Bl6R6d0hZHLijhN?9|-J
zi=mV1YGeVeU7hI}lPSzExlISKsgY!02b9algq(~FxD`Ai|IOFRTm7*T^ZcNio67d@
z^2m}E>DlQZeebK4oF9B2>6IV6UmiaAI@Qd!Yo3Ph%{{|zRP=jn^kHrJ*FL`bsb3_j
zF_4)7dGnUa<_w-1ngz!ZJH62Lre)q>_X0z$_~Q{ob@aO4vE9u=U?C%GbIC~Na4xNv
zb8J99RjBQWPceiRV(!@RZ$nZ$GqWe0ogc4A3uHUHu#)W9r!0Qs^uDuZ7WL9Cc}><o
zByE@bR=@TuVkoe7?U0Lps;Q(r|6Hlh`pfN9soZD){q6(G7@DgC*JbUaNy{+ijSC`I
zCo|co`$RcObO$EH;6>rghA^yWNeuwFhgH|&$8JWw(6Kp6SJ#}eCbZu&W@yd30#;u#
zd9T03+vLhQjCpdFXZtQZ?~pz3o$*l+x6$9`srTkrIL&!N*kP@{j}Vp(B{nD)e+HEn
zPn{lNZZE!=cK_4yE**-q9n6ZwL5EufB5PVjk*)}A!2Y9d^QWu@M1vHmPi7v$HTd|O
zTtf5`5a5s+mU|8rO&if~k7$vF{`0ZjzK-FI&FeGy3^E|7V+C#asEr+4sZ?h^zTv>T
zWmSm2&aqn$p{eGaGScx6kn&R0Ip^c5a_TiRARe;|<tlXdP91W3kiuIB-WZ0o7Vw;*
z&CO_q7jGg>zVmU;k8rU6#il;({C19}1rv4j<Zf`w{Ne2PJkIUz?`{>-iWS>3+X^Yo
zL)Kwoc~6<^ir+4(P|?h-hw^!BDODR%6wDH{E)V@xf>lU6Pw2=V`YPX1Ns}hCBptiw
zTU)D2bPqn2?|$l~H+Jy0hW)_@r|J4>(q9}bUmPj<>)P(U@CPmaT-=k~Y=zui;^1|9
zpAkS7?JDbb#2DhK0T}Y1X%u7@#I<|f(AvHGT15HdCDm9RE*2y%CQ5B!5i7pvH+}(s
zO=j=8I9Sd88A||dY04oJFiGSPjaDX#NP7Fg^8{?%6cWg7JcrPL?2LyiGdeMm>2;P1
zxdx(clS30dx34az-aTyyU&)NI0|Hl11pQ%RZSYTDIem&A`m1Rp#Kgd93Io+dw39X*
zGl%<n2pRU;_slIRP2aZ0*i59R?~$}>@%Wc!`7d>Za)bzI+gku75Ud$!*}Q-7W782c
zT?Q0-4<G1nw@~%XQb9Pd0%xV&L~<057_K!cb?6sS`m%pJmCCyQf$DSN8M&wQB>UOB
z<&(3EGDNg@A&t(Y-tF%4YlGg8Y}bzr^>4(5xWh>Y=E6qHJ7o;9X7mN{&DnmYH$pV6
zG#{dvTQljxr(spAg@2%yDvm29S|g?ara8Fwp@-x+_=FQ$0G{_WTX8dmx!WMLt@0Jy
z$SY~RL?%@Su*iMtopi;3S{?P*Nu4xWb~pWh*PBr6yHzT_rOTrru*+g6-=8oGKHuH*
zMzni^wu;<5JaU)<cy9y8f$)B?_9*7SsWuBE&@-RrN1{weWj@$!8|L=S_H=Jcc`H6W
zVm)&GW%M86tVBKhR$YxC#7k8(@zsyj>26c!uG*|3{odQooGq#Es-5J(BhBAY+b$Wc
zEn9)w*ZwGK0R;&DS=8eIay!dWA@wFw(U$Ot%UJfpleogqfgH}_f90ffFuUCi<n)64
zWpqn7g)#3r`&C|xnXw6k{`(-&WPD?j(Q3*<2%8$oT>SZH?j^m72*DbBJ{|#+(F>H3
z^XKE+;iE#tY8Jlkd-k*~)V#G_S@x&OCaHIBf4q`5Lxq^8Ld|Zra0&ysIskD4VDHlp
zODqxd>u_OsBfNy>!Wrp;#qvjbCE7}Ij-}zTiHVY@_d;gEhaOSmK{d|A5`?qQ14qmB
z9w1=(hBGWyg1p5uRRLRO!lH_eo?TDJDEHf3jP;HXp!FB;r(mB}^MKUk6dobDDY)o}
zDOjbC-oF6fp8xbcux!QZ*abO65+~rXaoXSg?p5Ntf|C2@?lHYXnX7`^s9Snypj57O
z#yCkQs2_YtML9Nf^ygEbnQLve@eLJKy7R({3hRaM{pDG;c01w6!v<H_)jlSJ24ENM
zUs;63PHiGCNNM%}jQD~xRZ3mqst@MA#A&`U1<(hY+iWTB26-BfYI9TAt)NcF)Q;r0
zX$taUG($&U0*H8O!MApxGJT}W>1^?%W?G?1qEi(XKJ)0pBb|$Wem0hQIY#Qd#`7tC
z=?8)WAmH<>1l{@=rRI8}y;AHv@)h`q02h5&_(GZ=tBDjCRYU*bJqxD|<?RoKT8bXc
zXZgn#Cs((v_qMG85B%oYKT25>-TMv@hp%H&U}VOW@m`-)%>`YCrY>h--JBrsjQa#H
zXj1pL?koXmgi>(nXP34_J!n1#__tEAPK{zthr4@g|Ky}Az>D|Bnr_Ln_tR9uS;&M9
z?j^*EVhN&UK86D$kX(>rqV=&*>)7$_#BOb2k6M+r3{t{$+oArr?7@e%Z<{x%X0wR6
zg%@bJVq>BNZ+YJW&Os-#n7}spQt!k8MPo(urp7=}bE=%wh1-_u>DO>_?lW$P*pe5e
z{B<gQ{D8k3Pua{@q{HPpk5WJv>c?eeeBV9Xn&shK{;pq~*a!Bwj*b`+wQ)m2U{Nrq
zU<KPu^pSxRiKKDfWJsX(o^g(OK!xw4!M?~NCmX)uw64}zn)A}H%9!dOK|ty--}}ag
zC_diD2cM_FgKQog)?$V+j@HN1E%VL>3gK}yVPf!$!jS7BqyeP!v-I-z2la#2n=ZM$
z2`w<bQ&Y?HjE5UD31)$@d_C$740R#I<??ckX7_WsS#Af$ZpLl2Ti}A*eT~PGk5ap{
zYF);1Qvr;<YBT0%k=|+ceM&7O)tWPF8*3YKiy+Y(81CpBFS9Qy;0}V8)Sefv?Sqij
z-<A8pG>Jmi*TXooa#@bY{ki`Cpz?AcQ)&V292L-3l<MwG+_0yV;`);_m9UPS9{X^#
z!q_)G3-8`)mkz#lvn)iY39Q%3vQvo#Zk-r#D2%;s?>(t#(DCeAOYRgQy()1?<y2Dk
zRSYXbo!XagA-$|>PK;@0$$$=P;&9MacgA>VJKx;Ere6c;JeM&=6Wx{Oj9LJyj6IE&
zRKUqV2M0Sz@cX=b_Bm$%#m0QL+Eb44@Yopi+w2&E`O=LbS{Y?=9$Ors#Ee4?6C})a
zq;!kUs_)^=T_y2dTHgW7oozMr7${tM)~i5$%l2n)*LCc}^ZT)g4Xb@!+Ou);RM3v$
zi$`z6-B%-?5GqMF2ZuQ6cUfGv6DRWj@wWl`8cCYW3Hr!6PC-Bte5;AV>s@UCKyXpX
z9Vr}y$BJwJj+j>S2_rz!p%Dj5erKGW<-6o&+OfiD!o;EO7Q9#1f>83wW0vA2kl<n*
zw*!t*MjTql{H8`@s${;sktUod+x;^vjW3|Y(bxK(37D3w*6?DiauFI?ISBau2_xiS
zz?KxZjk=S8?F0iVyZ%AN#a}&u*}0W4#tuz2lff5Y4<u0w<J^y%I`ALK1953$ezUE0
zL~@{Bja9bF{lDiu`(<CYP3Vcy$GBL#jcY7+XCxELIG|*&9<zoNt|M#fHtg{&ObNez
zn@Y$rJOJI0r*H46cHtv|`d64M)toBOM-)N^+Z2;lCRnv9qV!Z_m+CD~egS&sb$Wq=
z5AAhVnc$C+wl>@rXGZAeZL32G;=8$cAIql<I3wypuip5~d<v~ZzKr*!?k}Gu-s#?r
zbjuNe=slHxq2ijEDsA<g{9e>W6YhzBFP}K@>6F`wWbPtL#{(58=Kj|`?q}m<4qD^D
zq>;X5C(Lv^-)-4}bmmCO^+cw#@hUrB&LHF<8r4HzmD8%E`q|(vHkQPu;3P*RVnI%x
zyB^x?LM*0cWEPHw*aX#cjA^v6s82b#YksOrZZ8s!h`Y*;Us$2RJ?nqN^5q=P)U-!3
zaL{DJH766w8Rr*wpP=-T-%l#@*VBoHHKM1=Z@ZnSAKQP#AE{6exspM7kPiBo6z8xP
zU^`}q3+^9rXlcSVVA>#-=xSc`46%gHKrC0=^U;|-yT3DS=JoXc_t_Yj(x|=dIcq}7
zlN<q_QvbC}<Z&h=H}dEcxBhjmnr>UQu{KA8_SjZb@XUn@=(A9|2hdvDn|bP?=5A{|
zi<TVT?fXuQ_lMhse)_V1JaDP*6j-F!NG*5-KjJ0)j*aAE3u%nq>|VU$mwd$wGm><T
zjp*&-%Ke(%gQur>^b!8ZS8OM_*#5J2eh<!r?xvyz1$^mAq}AAx@k~0p#85VN03255
zyQ%?~tsctjcqE|ajIqStVV{MQcw)4SjZs&O46+!qic-vl9z@jU{Q6-TAPW(R{<>@H
z_I|YW5{Fm7`M)P`4VaRVDK|RdqLFJajBKaTu-0M4o@t6?Cys_+{pg|0ES3-egcZV~
ztf{;Q*5{UjEnr)^<fz4)g02(CO@v9{q=O52@(b#k4e|kD^uHm6Y+M7VJEfutJU1I5
zaMg++T}fJ(I=*tp9DWb!+xxH4z+aE;mn9?vz>x(=iRicoXi&G6c{|w(=1;V!)0*DA
ziNM-ZK^sn>cfNmvJANPJ8Q#6QR7IL}D}Y_5v_JK$y=Fuj=A+Nm8({%8Q7PEVTX1pZ
zS|Q~;B65|6ifAUiS%r-D^Llil!L429&Ko<yt88yQ5+l?(q;#X^eY6q_-zU!yd->yG
zH4o6Ejk5p}vwgX3rlmt5FrWJLa**p1Cq^0)vlH*YHswV;el+)^txUJ4hC8d2h!LFk
z!@`^tAUAm9G+2YU?$gAU4B_B4)J+_~%`jk1edc(GM@FivLZMKMZ>jifmfF)AS+gr#
zhaaW8ZB?)Okc(VGM^IIkQk}9ut+(5CTCj=CPB^+&+=;`Y#tDMJPDK^WUD`D`h9N*E
zc$!FOhPaP~1`$_j5~v#xf?O9xw0U1puvh98#xVr2&eJCc<J~h*KO%zAEMBlKt16Bo
zZezuHC-u@j8Js_!^V-OCn$b`RSyQXMrs0f<EhcW+d_@c<209k$$x5IufsgJSA%)Gs
zQ@)S3HzU=e8`Awy-Z&wrT)Jp1sGlmz=Ss90jRD@*x|!#)k-uq7G|m`rxUx;z$NQ=Y
zL|-TQ$vs1C&KcL`gz$9RilVvNLcrupbyAH}EiG;gBq2F1=ml5w6XU>iccl-F=Wc@P
z7Wg&lrj+R_{WAZnxA%@}s{7hS>Aj;MT_A!|1YYUAyb6&ny*B~ry_Wz+Q9(hvR1pM3
zdhZ}rl%llI30-PJO(21s4Sv7x-22Bj#{J`-<H&$Gvf0^dt!K?S*L<G2mc&gG=Vf!#
zbM>x=T`XM$8EBWL^Dys&i-py(o*Gl@=@aK`Hw6T=!0dTxmd~`EjyIsD(Q?#q@Y(kt
zDKlyhT0lpHl!q*T?ZU;RaS__Y1dFGb+s?RtkEpctl9CaM+c{f)eH{k9jJ@ugq3vP<
z{<JwC1t^!wzGqV~)NR4~obJXYzm`1P3hpj~XWt!qr%|=VCWO@M+UJ5?EdT54<r_ZT
z=&_~~fsU!?uZz7(P&t&gJd}sNNun~@r#usAI<C)!1sQP@8+QfZ@DY(D-Dh-)zax|)
zJpSZffe+ksEh%C3M5&?WG>QqwxwQ!133YadtdEiXl<XcG;I311hw72u$X^$JcE)WP
z%DWzopT<e-Ljeu49p}}%OCw(xCy5X1k&se5(2W}Z0qcR;Z7FrFu_?G;i=Tq8O)Pco
z3td88=NvpunwL*yp$<R6OWrs1XqUxp1)%P&Uhc6~<SY4ALZob-(dS+S4_bqWU`nLJ
zOHoD6B+PSIlc>sXW69j%<lXPPnBfaJ0?kfRN(3i%Q~3YU0x&&OJ5?Liymg0R$;;US
z?lVfb@<)#DP_l=w!c^|6gwjmt5;~<J#z}Tb*=f!?p>9fqHX&X}JK=CT3TD-X=B`a{
zcB+F1QC9=<-xlr%1qU+6#O}ztOO_0R2d3zA;MR&2CmlTNB8`H?zFoSP?r0kN53=*e
z9j@6?p{1RlNhH&4VqZI33#6aGnVvNhqNzkf{wS)0S<N>^l$20wYdvmk4WPmE)0R_p
zk-Pr!fm(oj^}jYCJtgZ@8vH8zN_O9}=C~Tqpk>uX_VWtsu$lxFt=pb4gRq{@X2T0F
zXjOl{?c%~GJ!#*sVM&x!TiE%9bp$jAn_@OC^i4Drm)Su2Ugm57(qQt$B52xAY@t$C
zc+zuZps>MJQ+@SKA7U-8IUQkTa6<7S=RyTYfbHpE`vCbKbpiUGhE5Ecr0O}5SGIY@
zS2j+>s<qXbgRfVhwE5@8S~2SOO)Ec9|HuN%?R<274u4Q(F8OD*=rH&gj5H`X3q+lK
zt7lNjBG@o#<J}NFtq$)Am_afbB*x%6W*`4K+~r3ZZ9s=!koxj_xlti^mc2xPC;fg6
z=$C_s?D9cc%{d5OpSc<`RW?H$V;z@O2h-FkXF4Y_c^6|l;>ByaXrw11tdEj=LIvxI
zqp=fIpcTSrjs6*^Xr1(EWGFSRs2{}6mJ|%Ez*95U^0W<jly9p(DUB180TtyhF9@@h
zI?Y3tFRt<<GP6FKfQ3ts55xmTAn0TT6U_>D1Qytv?W)4PwcM99Z43H~-zd8%*J(8?
zqa1Bss&atjG%kIgo~eabY_7ZUtH@LTi5hG?6<O4@AvMPLv)c-Mtf(>eU2eUh=z^P*
z#a<q?Worcrk?R#dWlx<;;cE`azv0(xdHHH>xV`waJrkgc7ygcXp}+f7a2cxor3)Pa
zQhY*JfGdTB4ubdd@+O+_Ro)Bm_)KOmkT<gCcN$zOEe^F_@+E+>BlWl(IRbCXXGUZ%
z;AE1-+YY%o-@n9igU*=8ET1g_TdI%WQaxmMnJ>Qa!FNTMX(Hii_7&JnuQWZ>>02`c
ziVSTo4-ciJ$lvJd>8u&!8*uMZujNlX;bh{45?4LtSj&x>H@_Q5U=S53z4jt^XMpgh
zL_|nLl$h6$;=WW@NRqga)4XMg;0s~Q%O^whAzsd_<I0&u%fq0wQ}B0$E(#?9tP--W
zbpkIn)8N_|4P@X#T*9}$ohYSfRZc!Gk{p}pr#yus%72JlYZf}3m3<#IZ+OzbLO6ow
zi<e`bjIR5o4Cu>MC2F2@d;^b}CT+~__}$r7W02}SM78BmfajIJbC}*NxQeA_3IBE`
zyppfGs3(eM8hb1$MX12gW<~K3&SILW3fK=5yH$ab90DVCH5UPIap)K2h#)i4^O9kU
zP$|s`nko{<q&*=T5nA_L5Oo5G{Opzkfy)={z}K8O=#zNvbpCTpE(jckhx-PEeLWv9
zGRmqsx8KEn&4b2CrHj<>((Y2$efyLiIwA<7t7$$P$WJ5~b*{{FeokQNN9V6IOk;})
zKx{H|J$H?|SGDVHinK(C&9$7<-5t5NnYWsWA6}Cr?(TawtuOF7r}rs=&*mz=FSp4<
zt++nR-CK))fGmpXUu*h&<+v=o8=tNs+8&zbd^>{u`;U9j0lPW>hZoCTL{~75l#5f(
zz)>J6kX#Y8&DfjInz=H_w@mB?`>IMj0Ec_m%1|*w_>z^0rY^7&L>)I~?bV*%);#($
zqgTy76G}IpQyelbE%RvBzPpu|?h~-U`nx0&)!>Q>=Md#sF(i}ddY{NXqrjI-rkReP
zkeb{MH2BDrj2ybToY@XvK-E~aJ*UI5qJaZlZ)17uu!8Pw^b{7M?*P_tnFlUTM*kS{
zplK64_RHeI(fJ5V<NeULw`gCVja}y73Ph8Zq!jWErt%q-hE_X73}^A)EM8)S_xwi-
z06dSvb<`wkiWNnAHv<CU1q`=Vv1M40tSE8G3sJ%h{I!owT%s%`&zp3cEmb2(>*Vp5
zX)?U!fOIO(!4xenbS3~*ZP<UPha0Hcy{BRG0u+7h4fiH9nkhtduc*huDQ~;bDPj?n
zY_g?(dBpeebUtED(wB&u7`wF*y$v=Ma;Ukz0=D(<J45NYU%<(P8a;L5U^&&y<1?Dr
z!W(Y(Mp$K`{`ANB=-mQl?29X*{C^NyrdJqFH){@G`UwLBo&#yg9fOvy^6<8&Lsi44
zQ;fVyNOXh{rweE^(^D%`WHNAU-)~n_Uv3bys`O2J>R!g%*?QKUJ0U&_prseYN^CK@
zren8<%$xrdzRQ>=oiMhh_2yYe5ZcVhX<?<{K>`RVfRLn~ZUx8&>ikY4SM??3mB_2y
z3Y%B^@$V=1Hq<m0^FVgK_X@pKJsJCWnk`H2^Vx|IVAjXbzL`HO!;ocy82vCyz){d#
z2lDz=CDf+W!lSBKapVm>=<$1Bj`{h3b;ea0_Gi#wJ}8)uxo3>fZdr*6ZYDxt^ZY9+
z+F!D_AUdKZ%S-kAu6qY5#lC;?qe1<~h-SY2HO`M|-%$p>CgNJ(m4Y@|UX1Arc33Lh
z`=TWNdYPBIzW|eAo!Z`?h2OVuevoG3ys$W7wyh;q6ivv@&aUC+V5FF0Kg(htE<%?p
z)Q9z&%03x(CNp`L^|TS_afxe`+<gO~$j1-Hm)-1f^zwKBCx`P_?Q(Hnl8dr+JLfwJ
zTZSUKasv+Ly58*GaiN-#azX2{Iz*6_nJZMD9i_^d!w&WWZLLmc3(7B_9a#XL9Jk1f
z$_dr`Qrl!B_LkANIU_~&8SQ8P2=h{i<8a6eZ6tF6M=1bOmA@cuY9NsviSp-gKi6I&
z{cPnU3Z=!rS7>tle!jd4E_2tC<b)V54zKNs5RF`XC+va&RFSD{c8-vrLPMt2e<q-7
z%uicw*-Rt@YGTTl+$8HKwZe~M4o9#6QNy9^ydyJw^8aEi3;tEjPaMh|_tA+zP=)s>
z2SCG;p<b1WU(cpG?02e9-~3c$0B@3ZZ~eQ-O^!?2cs%T;*s!+nt(RIf=nPB#`8DHZ
z7!V3|y&mnhs4G^|R^1nY1nj4xJW!N|cR>%F1G00V=w`BFg5)S0HEc0JKR%Bgv2O60
zyEmsu865XrH<|9zcT&bgQQUBp<$HGX&rRLCk`o=2^W&j9M<3d!-u!>$G!+5Gy9@i{
zM{;<88)<E>plA?J|9KD8xo~8y$tZMz@ScqQxKXydVpa8LFsIT&BmW5EoKs*o_)U$a
zzEJ<hDka`~bn6X@i*t@U%t^|l45TtGKRMkk&OcI=e5n7lWuLUB#Dl$G6|~;OBE`JT
z>fDI?r$3kyIoH*ptQJ*k|6>@?3*az;_FoBHS-srM@eWRv(bB(^;iC4IDL0Zg*&x1W
z`Ojbfr8(U*kl|DZ=C(}h=e@CXX!pn10Du{VEW%(LSA->-b7Lh1_hMQ^1u1?&mn9j*
zi0ugGDd#LY$~xpn@}Rh~a(HB)3*bWSwax4A(^cND)Fyo2enoD!0OV$voT+Y7p-<oS
zI^7;|K@K&D!bNFb)`X$<>yx8uZ)3UFDx%PvUH%%y-;#9G8GGdXW-NfvCGhf<9l6ce
ztFWxMC^}PGc9?W)#AMmcxKUt_n)TS-yECn!)<+8fw;b!vS^m}4_v&4R$@=|it^2B!
zVv&5pQxlB<saSJHe|xP_h;&1>O{P%mYi0QtS1Y4rP2c7(^pO<HZ6Ev^!tLai*U0LW
z+e+N_3I*7SmPu?GT+R*b&kP452dwUb`ogz1=}?58KLBQ?{3tW|d^VH37mZPVOtq9z
zZU6g=0?%t`i}0Ql!Gq}7WYEa`gt5W6Y^BVMp~blJE3P<D!b!#hU>ETXndcuKXq;rp
zDQe1uv}M-?d+(HHT3%7BuO*Tl7)BnG)6(|&0TYi>==W`4b@r>KCt6p<{rRy4oxtMA
ze5Cu-v*)HU-qL#1&8ys;RBVgHksU|Qz09}SDL&8t8W3?2FS|19ZySYj>3x^^>75>R
zAKEK^_6d|Ld)6Y?MO!NS_$T5@T49~+U@W=3^FqUJVDxpgQU@;kYh=^jiA<xAe1qX)
zNEl?NbXHgY&wasKim6;5_2pHzM*lVj9+M|`!y6AHAF`)6<c3Y2EF4vYzg1mE0qD>r
zedlJ`9PA`$QhzG7Z&o|!tlljSf6Y5P6><KO((^9<JlKvBSzso}RQ$e5p4*Hfyu@vB
zH#I#ckwJ-|?O132SJVEkS7XpZSV}hu{B*Zo^DnZTtH$UOXq3fFGI3op!j%MiQARfw
z2_w_m0plp#bd?XG&PRh^;jai+J)8S?=y-Rvyb3v<cu9z4PstUr(b4^E)7`P2(2RO{
z+ZOEb?+$-OsMAT?#uu@ET818}Xo;EfaUQIPdcc196=M@-lB+*%-BMk-^BIKli6XN>
z2!@1Raf!Dt6n}{ZJ#x-lw^Nl^LIhOnX^=0o&AdvW0!`gIGo8BYf5%dAa&qeO)?IwR
zgqFRZ5>_ySvBOP<XXZhkK?DIMc@i0$R8AwdcY5XU4qXn<SWq_82|=$klEfpgvpUqD
zX`Q(+)34cz)$mpvl%a(;(ZU*%gw$PPayFMgF1U4wAOC6yd}W^|ZcMatVR?dw#6#8}
zrRU{^6<rdJCxgxeyj4II*}$|g*uNs@NNU6L<f5YKq{RsEJ>4yTPk=*swO~#ecyzU_
zm3^Rn+T+m6?F30wh~85wdE-bCwQR{mQ#E)7S+C{cGaJ+uBMki2@h$J}#p*yW_~dT%
zU;Z@q#O!(S$j1$;v1Je4rDOLV{ht8wKgfoOZ1;IMUJgaZfqVx_LrfIsmwK=OkZG?|
zTQ9!{1a#rAA5yBz&tW2ABXes9hXddsysW5;+ieMl_qOF2K8E5$@s^eHt6WNW(#0hg
zyuVR@mf*5E^ak8Rr~2vCh5h}D=PLJM&FyT}n5YVYAEc3!1d}sg2k@<3JiR;B`b3*T
zxYHW4Ud5**r?^xIxN~s*Am2(HrIwDCNxYhQtqgO@*LMX}HxLmUts-TtY7~t<*6FOP
zsVLoPDex?N`JGBq;ro?q?&06XY|D`szet#mL*qm&&t=df9mvn_>2nXWYzJ}CYoj&K
zBYdmeNrX(t!#wj@x9`VDQ`$r4m8e(wd0eO{xG(SaBlT6KL%+k`9lXCq0M^>5kVU=0
zkkt0ir@n~T&oK#Zg}r?u&!_38D3f^dWF<LTSu5Eg+FH(S6yWFg&7^7I3w0hle&b!d
z+^Tm!^W!H_!D>lPvQ>t@%s_mFJY8ayBWzHci=v$k(^VH|GoFb5k&WHeWe2i!j{8?y
zRkcFJuNEwPN$sDT8$~>hm^L0Nkwm@^aOJ-LJgqa<F}<rs37Qu7aeXv@U!6|TiZcyM
zZFx9xWm&Z1xW9I0DYg#h2;(`=o1t-Ytw*AArLxPbOD#D%v1QPQDuKYM?7!$Z^lp$i
zj(173(h=$FJ^k08j?UitvkkFIbUJ<GKtvaP@2egiy&EU=H@bQ5zIkf;>Go|hwcAjd
z1uF#CW=iAvhVjB@FO)X_(&*8IU+dQqnUk-jbNOc{h}`kh?zkRri7xM?$n3g5OO?LQ
zx4P`U?rDLOC@6cRQfK>m9<S<vAry&*rlulAq(z7-rC)^e*?FUqERQQlG?Lbioi=kl
zHZAwEi*po}mI@$vw|E>kv6ej_@>wFh+?=xM@V2xuc?YpKItUGms7~AK?6|;5e0YMu
z;_OLm+aDiONiwY%zsBfQgxe<riY*)Nb}j+4NrZ8tr$mhzfhb-$wGI}c^GNs$Cb0RG
z(TjUsTcKw#m5{JK2zN@8Hol~!1%Wv3SB!e4QPFbbb<5!kC?rRkj$hE&jyoHd&nBnr
z%zm&qNxK-q?#=g6Ry;r6^J5li5^a8CP^`1pir5T0r5#(c3F)~%I&3~^5aL0BYkAr^
z8d+tVA+lQ&{4H599c2{`Q@QvWXf@yY?bk{)PQ%W5%zsN*>SS^3@qFWA-QwHIh=nd(
z;XS$0cBgL;YU|<7r4FDjVb3Q5SLkd)y_-ctYeSHjl$(uce2N=g6bm|t$t$i>U$3Ty
zNCX`Ws(ZF$J6f4J>YhD=aj|zU{u;X1Dw@3;esr04vGQzWawKGSOHDP?vWNDG^wYq9
zR@-EhWX@I_JJ$Vluf8J1IWNr9`mwKmdn|Bg{t>OQ<t#oU60fEM*f>{lCnR`8SRHkU
zepIP3c6=+!pCN&%QxF8sl)jGIX=I*}jkJ&lD^PLLgtKnnF;|o#%pm51kSQv0BoW>Y
zp%CDDzRay*LpvDQMWqoMrEZIE6!qs23ig!;?uRa+`aC`cebEDMsS5gm=VwD|S&Mfo
z%Fg%U=PgpNSxg;0rBD(0d>EvCs{L}DYt*U@ufmS(R^;hc$5s%>L}%$2JchAow>(^W
z$MRwx9^$cJn_HhB;m}(#Dkw1z7!IL$bc+X!^Gf1l*2)p{{x<K%B${zqP!jl1w|nsz
zMca5I2!cZ%nFxm;73MB45ya}msBK!;M%^5}aIj2D8NEM)8_I)OYp!p15XL4)+u&E;
zDaT$$v&@O1GKr}O3KI=qb}D?*mD_aPl;1nXf5}Ik_k^X4ooMTK>bD=iC#M<4Kxf`b
zMK<PpuM4+E?hOu((xU!B1rRP@9Gl96n{q`K+D5k^X61PxFk_;DxJFVT&Ewi1Eei0m
z)qKeIwugWh^heNgHgO_5sTSdWEMp`k{{lG|P9WPKC=nCS4!)7yM5oyCeXXMIwB>B0
z<7aGatPMCRo6M3@o`5PD*_pVQ!6%e0ZaNb_80j3@-hdFsWS<p)z>Cz_Owm0R+UAG9
zGXpjiohwai5G<9tWB!#y_X#*jUaAUh-6U@dn)HkCqimrSnL!PWCK}V=MN*UzaO!A`
z=A;~ZoMl~%gn!Iw@`CJa{Uk}+l+uM0!B6RQ52Xun64@X>&qZAPi<6jU7u@B#rswvY
z4EKeJtr*f@exMvQ*omT{!i9O{1^xx6-;RYMYI7OfGslNqK<2_{&{~15j(MYzpBEKw
zmB{00lGflvks85D)cCY2=Xr&@K1Y|%>?W00-KKAGqzNATx7vSe%!HPfc8RG|A#{Kv
z2>Zx{Flmb1xsz)wXuvBs=J-homL#{C_T1##%z#=b8HiS;CDK&f16|<#1JT0T@CZGg
zcX`bIE4^qd$oeoToqc96xKLse08C-mk>;tKgKwjQK5D^lQ~_4((n1Q<mC5b@VebUu
z=j9vJK$U8b4wfnVL<p&9%LGza4kgmkT`n_9>>$XXa3LOB@A|-ZUEcdeLFX!hlofuF
zd>^`uQaR^^e`%7#FY2Y%h$KvY_dEgDr0H`_1VEjMuLx*fekHPS`Z1AjG8U>e_ozB<
z2@DX@cE9G@4}@MZ58}W7GM+-<Xh%D_Fp@%DLdf&l#u(>I0$!7}D;g0b@i!H(J7;1u
zj)S@odQY`?J<&jrSB@^yUOZo*)KAK6eA@ZIvI)?91*HCE;KnlG+UaWlF#aJ7q_9Zi
z{UAx^yuiiKF*sJG-NCH*&##<}YifV^y2j;gvUqfDAld8rFY4V7o+rA~rtaOI;pT%#
z@na)vBBV)xbk%3%nWLTzr4CjNcK@28m=e8S!b+cEi}XHF$dhwL#w0ek-|_qnE9ySn
zQ>~Gji55-mnMwq8O(n`JTmnf|AWfC|my_o=d+1q{k~m+!`h1iis9#vNlGfOh(w$b2
zlXdRa^>f+(r7ppam_!(d^{jbk0u>%49w^*T0^KVf+rtCyCCh7!9Q#}Klw{aTamA7A
z<SIQdKDhic_x_shp6$L~7x7c(5_#?i-ni=RI!T{5Bv*NS;FbCD%KTlw9V5E#hwBgc
z?p|?a*KfsD{+7o8|0^W_am_(qeW0y()%5FYTw<=1nAevxP852Q-Ud6kwC**uuF^u#
zYFu49a(m(vd%+-=Pq*0Fv&oT-ofjTWbJZFE+QZKd+hG=7?S*qbS5NzY=ru-^<_|2B
zS>28{M-d_W&6^FRiv;W>ZLGE<*)j&_7))#{Yc{Cd4tOWnxDYs}(iJ-<o<oSe+0;~A
zyt%6>(tZqSWzPkb`(UjMk|sP-ubb#$YYRW>;)*_sf)TX)B!kw6@{~F^r-0V*XphH@
zi7#+uP`Hx{v9q$8OL{G~3AeI;`tLgceOG=mCLTc`Eu}rKKuSvL93aODHa94@Y(BhY
z3xV%1FE2CO`1IWbqADkbB&G+^JHQ^BN#Ze`z`hSH!#2O}l>2QAXQdMW#jwQ#3B%wg
zzm}G4nop)I@`#*hsHr_dPbN*2lH{_7vZN5OuAL~DHE=V{7RJw@^0TW(h%c61MQjX>
z^S(dh$c<V$%fR~tg<T&Gc0yKJ0Wo}1;gjp}B|<Vpfxs1CgS>--(Ie<}wtiurt6`$P
z1_c8+$(_E_(i{=2t2^p&@ROsT|N7J6zdT$L$c*;3_IT>aJJiVub-#%7I}5$5A!f~-
z0MP3q4zvIT5*6+g0VmN~MxL#22HgV?nOM{7nf9k#LR2*IVi7&mM0^FaFIVN{d@YMj
z>nHxabl}YINuUr>Z3CbSecD%DGCgl}V#lRlUSElSb!DAkMU#DKqeEh0{WmxqzM!C>
zfER{e4CB;ITD$3zNiZ)ul7H0>fo1k9pxe*Zxu6Ji3B&dqmm=9<oLrooiYy<We6bW;
ztiHbNni&NP0q4#F#Z|flTAAWo#iX3Ua3(weQ#ObwLK<{<5~vj)WfM5#C>123clB4i
zpamM`r2g5qkfTd-v?I1bHQ?PMx9u&UPueTn4u9k&K>U;HHZqhTk)uCS1)2GQLJ!&4
zJWfu|#k10{6)j%#gvo^x8GpwdnA~pd;@XU*an<Y0wmbQkJRV7PI=}<{{&l}~w?;P!
z6ie922jah^3iq5WHL}Q>Pc580Yc2XeHmj~i^1ojb5o~y0S0u}SR*M%1E%L5h#tq1o
z&}2Lty|R-GdRtdSQu*^KQbi)br&E*>amFv@QMA!#jMe{XDUkAHe5l{1;DakXpe}ZJ
zgke9;&jgKl5q3pDdr@-c(gRv>Z+L4p?lG`&9V?v3HZG~dAld|f056?jwAYl=V?E~Y
za}>6r2wfQGYGN)2=#vbWIF2+1MoA1S!*~qerS*k9oreqtlTPC21k+%~<}nz3+pkGJ
zeE4~;zGalrGZGiYsdbP~!){m7|0~Pt2`L2^{fstY5C~wj{ili$$zq$hLWEFvz{T~;
zPW#kJ-U;Tf(cuq<{oK=yV(GGjqJk)}smPAXdQNXPUdATBs4bstPSy2&(kOn1EK1k@
z3=&}HG}dX#VEp_Q*njNkY!V(VBZHPnKO%032Nb#^_H8bLQFzfQK=#|5$uB-!?7K#o
zOr(*#Bw5>+Z)Zh#>D8ezjkyljo}sWl(GM`*;);?4lCN#@bTq_ohESl_GSoo<1NOGk
zkr$&91E)NoD0~`{$ltbQn^6$_j-_gVDY+W9LfM8-=Jn`9$#XCDj4&ys^k;jj#sd?_
z;HW+Fqf=`zS_AtSj;~6Lj7-5*2idWs=Fu1a@EdSXTViisq++-F2HOk)n!s-RwKJJf
zrdOPpWGVaJaljA(6J8Jl6Hd1M`2i>WXn+q`-h!Z*zKAZE&oc<mhA6NY8+l4sf#QLS
zKr!CT-hAtn@7|uaWKL=ki$I;z36x4_AO`ag+I6G-y{hXnUEpCoeu|veRlU8Od+<-Q
zg_m4I(P)MCadXbfQ|pHBlObI%yBvreut|r7YjT<+IAPn>dDMyh)>?r3BMtWrOk~IN
z14;9zdx?A%>xnTP7IX}Gju8p>|H#emxEenoU!<4}3GPgqQ<8%<p0>}E|HrF|3#997
z+vfbMQBuF{Pz^DA@yv-PUpBzGo519zs?nOiEiHUedg@cmrJ4OPDYSH<mORer4iv}}
zH}A-l+Qyq~%vw^pbFTg&4&*gl%~cPvuQq`BkmqloSi)aSRMK&Hv^kP50$TfXa)ZEQ
zz4p90h7Hrj&X0)0X_Ta`=Wa6IgD-p{2Jm4AZ>wQfzHhB26~oy1OPS^ixyF#ofByGV
z)<%7fFUt<cL$fXyT*!?DM`CsE*GR@~*U^fU_{nR=7u^^o4`-O%DcNiY#y;8RH<SWt
zC5vYE+6%%Cnn@hqN-owAA+lDh<yd?5MqgATw7UvpBuV=u6Kc*e&*XCnQvihX3YDhi
zY#wAv9{EK`<sbbgVsM$@qu(fxh&ty=g~aGlTcrHidm6*s&0cn|Dk#Un%-)|a!}1qI
z@J(_|*2X&z1BRaNB(coNp@2eY=@L)Qt45)3twHjE&V$n@Lqj>0?w1?TL~-rt9AC`9
zk<1!n+jGOsSWf#j3>It~o7thh_O5bi<Lu`(jX7riML!i#S#Fo9z~#E8pswQzz_vz_
ztO=te9pskkesSp%W0dT8mdXJ>b=YqA8Gk&B^mrdDcZ*Tp=1R9@U$dkGvp0g__!W0$
z(zbd7=2bHwjT-!`<(pIJa|(F4YE8ojXY7x8804-?`jZH*b;fTF5mpaF$wtf5k#d`>
zU6WnQP>O{x*V)RU2&)F=tB|ZP`%?lM_*IR%g*<ACz@Ls1RoV?Bd%c8WEb@8=D}olT
z6lvG(3Cjd}4OV}fht+qQxZkwF{i~tK6jHc$%YR=s686!nct!XysQU(SI$iETSd<;y
z1iH5E2)!ro>XC&x-$I*z2^lW3`d$G!vdpXQsNgYR`B3Mv)-ewg0clBa1M~U|{#8D~
z+)rL5qht9JeKA;YOAtR&MdQulL(_P7wbIEH@O<QSuc=zWD?(L<S}n7&>SS2;r`M9A
zEx~NfDSDqHZXj2sr`V!v$!?ZQ(N~Cw<VokTHs15eVs9*aB58mKYO8Lm2xZNwG*<l9
z>c&raB|n;Sx`Ly5EtNrzO%U5G&g&$w>-1p9iX1$~Pj<7>MZ2~7a1(t#MzZ&VX<~aV
zK>V?7AkU(c5NQYXuA0V(Cpo)z2{J->ne~V=UxCgBH}btOa3(OY0vBurd#0e0@rV%4
zJ7Ghm16YD5)K_t7d5F^h%;<)RiezT11m@M{g`v`vjT>K;pId(YTEanqz@!Voc8J?x
z^+DS^o!+@pJGe-fR1|C=LWFl{G<&cpZ8~wI=u64u+Z|UJ?scV{evV1=d!pc@X(%ty
zhvjEi00*opp5nhH)9w@dCFqm&fOj~B4o{m+(?x@W06|-Gl`KEjcrkNY`XZw!QDPN^
z9m3+Yc(GjA@7KZVt6%0}XGE6{hRn(srgGfn)ZUJ3U%eso8;qB&=kwF#XawWNgS4xT
zyB4>xa@~aggeK(YQSB;csNGa0UODfYBYWK>MBY|4B5fwIInwp@?xoimB6@S>fQzmO
z|GQ#GC$Tqo6`LLBboKEfT9!*XuPT@cO0>ZaZ|n-vJWoIc#7i#z6N_I=m%Bh!YCxyO
zqb26!gT0J|FU$HUQ14RCYh+Z|x6dC~!yk6xL;Gf31>2U`Yz9_ZWcQT2M^!|;A0Pu%
zjr=Y*9U0+twk+Oy%=TBJw=2Ks#M{kYHS8`J-A>W}g-+2o&r3-oV`MoavjLNmy{fNT
zk9>H5aoEY;F*ukGxdWR_W~=?Pii=I}_2I7a*~f$$wXFJZ<h((BZ^9+Xu13~9op%q5
zS-~{1csnyX6i(!IJJgNlvtTy*|G4>4kqs`4KVBL3O7ER^v(iF0e{TrSGm@}qg<WYg
z19ENxV0fD_Kz>v@!W*u2x!JW8#jP5%<*7=%9^TE~rc^HXIHNXz2I&JghMTGWQ<*-Q
z913G7@<sC@$&lf@egsv*+#jSlJJ?21Myih60^KJZRBc(_v_ImndyvP5N9a?a08$eU
z?mh~KiW2wOL1hBdZyrNl>0PvvE?Z;o_1DB~V>b1=F=f{A4gppU%OTz2Z8Ir%mPk24
z^Oft+CMA`o+#tH5>Jo|9NWb?UA?<ett~>I|2mk-`a#?7&Sw&$wv8UYsogTW=8eIKE
z6p4q&!Uz6W#W3cblC|V*%K-sf^K^&bEn9}&7zFhK&6W0$(c<$QAS4wZ=^#BO;P;nH
z6dO}(>HstPV-F_Sq$JXGU!{9!X5Mlm@uu?TKuT9JG_j!tkh;oa-<oWQ!wG}wO!4RO
zfP{|6FE3~KKejSeRMKzzA!L8zHq9RUDRFJmMdo&J+5BB2PIR%~Ca%~DyzTHuqg%rI
zAC&<v5jMIC-ad*&r!|DhOkmh^pG9R2qV%`b8Nc}#8R3+7HiIdqJ3b=jD9*7rGpv0_
z#vNL%%wHYtPH*N2A77ar5ZK&#L3xKf<F%6qxa*w+V_W&)Ql**4yJ|7fTLWkXq^l~A
z6uuK7*Kp3NTR}W3W!_YsV5jfMof^xt4|zFR`8h#vD~o`XLBP!!U+EQQ<ev0W-~l?w
zJl^j?>7av>+4Wv$Nrv|Psyyo|vKV@##9Q*kjSRSl_GRSoGr#y`dmQ(h<leJhce8r;
z4<{@i=F25mf}_sK=N48jkK9gm6ELKv7fT5g`Mx0!v&3w;1{RCocKjXno%ka%aEd_-
z$M;(gzRdyK(3Efe8-q%k#_`|rXc)|K9*`XM6Pl!0_|)vNL_bGGVBm{cVnmHrj&D{3
zyE_eE0ugpl9SZ_GjdS)m1rj7<vLgvGfJGs`2`4<*`I@ymPPj{INrZh-MK@v9^`VQ2
zI3lpPWqLx8aux)Yd1OK_fI7qpTi-(Ev2`vbRyB=BK%Y*IMm=X)h|waq+yA{9B}mRi
zZ38ZO*7nMK*s+s~o!+6XX{34<UChX^9mH75=0&s!dkW-|apo3u8+KNYnjj|h8zvmu
z#6h%3qGefJv&tM8+H7rt?^P-zIlHMBR_TmS86`(<R8%bGC$_qKfR?o!<Ab<A%-WO@
z@32-bVXD|HKBy-Re&`7~UDVh){?h0rX-D747R6Q1w4sFkr(++CG5Yzp``qfojo_i$
zbxQ<I{IKH1K!25`@s)#tFL`A$Vw^TQ=({0{#VgfEQNrZpouQi@uUAUPAKh$gm29eT
z&o2w?A06oAMw)&@cNWSI%4K5mLY%=%Ui2H!JsM+B52|en`p!?|_l)V1+CvH=XwJgg
zS-7Kf5SX*f(*y>fuGy2$?|nEi;turR<Hxr5mLvC7R(sE^4Zk|Yl}0H&3ecGiWH?Z0
zmZo+26&T`<TAuHa(u+t~(|(IFne0t9y5qI@s4Qe=^nAa7{aT?9aw)HqnoMw)s!^Qm
z9rft4?C#biUoM!L8R!J!zkqWSveeQU_1{N>AFX^Ng38CGG-s_;OUxBWr|-TKd!ZMR
zDU26jrGkCS(B?-rnIp%T<en;h>93l!zc>xiXIphXz(wiRhe;x1q$9cV&!t;03n==z
z_AX-e6msgDGZMqU(lH&+zD<;u7l9Q`5+SCVJJ?d{S_K+p%15eyE5^>Eel&Mc-qU%b
zNIwUu2QB_{M&$K7kdnLF29)1oI>XT2Hf{C^Lb9yz{!Wz5q*L|-zk}VWj~=If=Qv+X
z5uLzCgYN7m^5u(zy(UClbAwkrMpkU^XXT3NK%lMAwGAw+*J)@PKhdshPjpRn_n36t
z_&B|xzYU3xl$?C?gK@RvLszoT5<g}Ca8lqsJAs%`>rA&J-GFxqfi#O|P=UUb#B2{o
zY&iBIEJGoVl;T~`%H<MMg3aR#=;lkq<lsF}Fn%N#Cb9~S-knF!HHbwPY$kTX^4#p(
ze)9!86WWkkt4nZOaf4EIL0T^o8Ip!0?yQ2kq764|%NIIG+{c{a=}J3ms{>tsNq+4p
zj}UQ2RL<`Cl*aXF^R?m9^s$N_ea#2#^>M9#E&A)kjK}0g!H$QM5D^iVbh;!3M{prl
z9l7+c#{FXG7WtbE<6-{2A4%`b?6>6t-UZmduP;0FM=%YHu5f`sUE4EnR@`=bFP6lm
z`X%o;2noF|U_rczNY__-9qun5X~O2<{3BQGvb~0HXzrY~^dS6G;ez4EJl8v+dkxUZ
zO+n9xk+NwVtaTUG?m<R54z2VXZJa!yfl<e`71tR<AwNG%;BCWrC31Oo%!E$Q6Hr#B
zJve#qubG~@XU0?f8(T1g&ARuNnWtU4L9V25n4jfCTj(2CVp|2XvHgCM&5@1th_aDt
zCx*6mAb5CKQbYX9c)dYrG4yC&G8t}V>AT-CkItH8-|4*=-3YN#Ib*Llb77waBXxeB
zRBHdj52aX7*^aR}iQkZUiVD?!OcwcqZrpc!33C!n>X2naw{Iabxg|wY9J=uECj4!k
z!MC~Xm1n?VS*~-RWK#1!h0nejinYfmHQb5=yubt!0>}={*~(s3zGX7~2}!x!n)Y&>
zCs|3mvsBY-KeO_<m=Lwzv6PUAbSc!I+^j*j(67g(PS(2YLRh%-8+h|eYor<-Lrr!T
zvcojrQEzlqTs#Zo-^UproajQKX7AM>zmsqvMlPTO_Qa`0hWmWXRB$>9u}czMhZ(JR
zJ4SA6ZRzc>K?^StQ4o?#Jb7J-dswUPZhyQyzWHQh;n4`I(}5dgqj;rCy2B-SN<_Jz
zTcj;sh;op1k&;dBj7N*mGr(+I?dR_u)PD%+2F9U~{wn^QBGz1Wn^8Ztd)n>eI$zZ5
z;XCh|?B$3Pj<~~{oEF9;QKp}k;l2_49;zqPe2@Ee8)<$^Rr)rM4LNtT1go0I>CV~(
zm#23{Ai~bN0Y23!=KJ`K&~g~}q|*JhfJ2!HwoZ%7G)zl_Kqy82Av@gg%@VH^9&KOc
z(&QtmGomfy7v(YOeK5>pi?{x_?Cjcj$so|E#8;8{cIT;H3`tXhQLC#k#HZjNNkdEr
zlUIpnQ2o{BST0uH&fz&0v!yLa*b>W!XM%Gh_kj??jz%{suOBvE(kW_Qo-QGsd*}J3
zj@#hGUew+ytd$`tUYD-abv!e00jV6$F?@mZ3y*Ml?)TP-yK<;pY|2{op#b#X#m>G;
zT){^h{ya5)hRK{7pZ%TLUcbouv!tx?$wqgiGSwP$xw{D>@G3=Iq~f--TclF!ep=)u
zcD28MZ;;~7VdGXDdaLl<tLqVUe=ehqm*+oBz*BE={q1ctVubjQVwdj>nru%l(1CIc
z@J@0rgU<I=8dEXBy946Z!7fs&C$8_yY7R1)R(}*dXv%Xvu`B-orRekg0{~s%cJUMI
zZ)a1I1EXvtBk?wQ>^3MKP<S2)6t!bEo~PEjF#vNWhvlVLmMzqLlb#_6qitXrcyVw-
z_67nQF5QZCiOh`iqR-v?7Oz$2d_)b?Y$%rSc=Hqz-cnl!WNHDwHzr%EnlT{pIa6N1
zH^e=NdJo5a3@SZ(<1{!=)O3HpGv9XCeYq?}l+;CGZhdywdNX*2=UL_JftPo!O?TOv
z4-!0lutJwd6#XwnoxLR^+lkx(m?KtiDczOsP@F`mwZ@e>N)EoQ70YLpy3<Db#(zad
z+^=$AT*q*APvn`OjeI0q->77#>5QUBe~pS~e9tyJ;?5A`!jFqE2Y1Nh9EX{DT$vMu
zcJkrs`Q!dYX=X$`-|BxwYMbFN5|w4DRa&XZUeDY>Q*$q;RG#k<TNAM>o8JB!_`cSv
zgwM^j*dap&eK%5{K?v}16!KabW89i_C<3p+zEi<%6XLWxw)_U#?$!@W3Wthhr(^Wa
zf|<RA7c`OYPA_}DJ9{f4yXTuX>59nEp%uf=7~1G^A5sYYcxz@HJ^y<1mun14U$y4o
zr*=bSz`ZIZyNVh2iZv**?OncXdvA{+Gu796rAdq*HPXKH^`Z;($8>Zs*4o$xO50sK
z#560YiI<lt2g^5PEX%@IdW|vZMYDa-YJ&Wvu;0!<_q*5+){cN~sXZ~yYssJL><#RE
z#&ZQPU^)j({UiscbpArGj%Cp+3gk#uuQSF!Am`H7jebGw&?yT;QA-RQf?GYl7~>{A
zgY+!7OwyuWB;F8gNmC~$uZ;U+9m71^i3^EMKW<KZZ<Ji1jqIp*!m?%kc`$p`Dk)9n
z$oj$4`pgifMn;A%M;%Z5Y|^{Ayk{?(12JjY#i}O>vL_AeU7D=DnKHts_p*AzMq`f3
zKAw}l<T2xc;Qo7zfM{ByaL8pMG4XaN<8r}a5Tn42Jno@`P<(GPUgp$NJeWawuV9un
z96i0y^2nHOif>Pn+Ynz-L*w-FO=44-$-@kn6!;6#;T|cn$+WLg7EuZM+WvvSwgKf!
zxX=bbdw==3gsPoJ`jzXtOEE)RGRuefJlNCD-}12sI>-^ep=u0A_mL^MsW^zPG{#1E
zRVn+aB(GM0HzD_L*?%>*t;yQnt`sVW=fQ_}Rf9X9-W<}5VvO3-?r-sshn;EHMablv
z2N5Hsmpk02KaLg|3g-Q+u=pD<8Y;Cwj2a1nQ>cf(3b?rEfYBe6O6H>fa!%Seq!<_k
zEPxfzRVm)iyD!im$DL2CQvq56l<FE3;0ow8O4U|(m|Iw16b38|kdObvuBvhTmo{^W
zsr{R#oM5<0z5M;U|2scdoo;%oH9r6IQO9~TGu&(O@hh){`vbo#B+eEeCrwCPvs6Gj
zqd))(H4>cTuzKwu(B1{mbH7z`+H!%5Ku|PaDe$|3ya9iNaG%hapb?)7zbNJS13o(y
z77y*V8^rI;T4ly2RwuW})RhqB9JNG9npzh@y}Z=pG5ZRj9Dw$IaS%|RT?sT{+cYJ%
zT>6lR<0kgpMrJJ3HCXAsZ=|mX0G=s-MDEoJL~5UKO5_j98{Bzgy0uSwmc>hwn?9U@
zI~tdSz5sTxJ|*}WWndA1MUn!g81q6Pkm}-Wbaf5ruu@jkcyTt3&T6ir_!aqL{WxU_
zpB^n~5o2k+Ga=>5r5ok>eF7RhNj_|t{%aeEz$qKvx%sQlIR{L1mvpH(=s_|0WLtfn
z>?Mf%o7{WB-`C?bW`1Au`|ezHwH8v+*`qa=hc6hWqfVc@!$Ld&Sj|RHpZPo0OEezp
zQ}e-bW)}t|VFL|p8>b$OsJ*d#fXyubOC62%*06ZfRHY!rHkKGmXPqYN=Hm2jk|IMN
zjjUr%EL%TxVaUK~{88&&B2lPcXJ<Oa^czGM)KxJ^pMA=xoSnMi((`xae(ti!+eqpB
z$Mm+o?l|6$r0CmrG-EfRYkRF^MsLfXZ7xm#r!;X{5U^9s-*RYW3|8vHc}@LL_}LaO
zO1f<T#rWT^QUPOlY8~cHQtM_U8e|k3D<?5&ol2?GD3WdrX3eto6L3<LUx#rXX%~<M
zI5au1Ou%O*sQfzKFu94^zcn{VJg_q(*>PD2N8da+5f+XoU%n)ipRw=MiBIo`?K(H8
z23s%Td2Z>+|An{1r?ME7@QqQAW`=1o*y->ckIq!LAQNzF7TMsK`JQ3hzOu&4n>jns
z%+s6jmf+n<2@He*)hXEs@tsFKP~|CEl&OJQ*TTlXgeCU{a&R}p{(N|9-tLTtxcdwv
z?JZkwg0$wuxEp$7lY+6t%@O5`jo4ZX!|_PF3ajE=gVs?(_~#U*<Y7OLxsb@%0S8Ko
z5t~u5>d|7#cg~|oEZ;!Z2R1)_N*@5c{Nx5wYsuSrJfPm%2n0XqWpUtb&g;2aC}xxb
z&mpGjci<|L9o-=53h}``k1sRbeT~^MQg9mKHAFkDp3oWB;dFMxOmh^=`GPTIM(=d-
zF^mj~<aV6H>GT4JPvCtL7e#~#{gE>~`gw(szJU93MA_-IrE#j(uhj(aeq^dBHbC)l
z%^?6jDc68@d38g#&p~A9#AP$LoEA9dIhJszPccjMAD<TWoTj)o?$a}k9EaKxzQ;%A
z?Otb?+LXj!l_nu`Up6O3j-tGk@?H&e;JH86P(Gy-*kQ&KdE+q`G1{06Ul0gVIEudK
zgQHS)3<xaSU5fT%6o{>DNT5$DJ-K}KJKnf|E(7T`=K~F^qqe(TaBzEv7<Ur-JD#hh
zcfW=C&o9~h63KEt(r%6@`0%_jR!_wwtL^y|V;kv!Vk<NIk~pVQ{YZ6sze8ufZ0zoO
znf2=|-B}M4=WO@Ok=7k{x06uwcB!-JZSB-VBdPtIIoOE8&qZFY^6?IWdCeVwZprsO
z)Hm+j<a)KbH@Rl|5G4$ONLKEpjQ?$0;$59+5h<Vj-))<7J`8=S-CVCLgVK&G%b#)*
zbUfD3YAl#MXy7;8pryaO<wrD$nyZKAg{*X-=px^x6EZXIfBqXOu@(Sr(Vy=OQ0a7k
z{1Ql>WP*{W3=AePx}@N<=1_xfb&Okm=Chvy_e?e#qMOP;nSa0*#9Simo(AlP2FyMM
zw>sYOc}hOgk$Lg(FF;STVwyH;LO;96p@hN`+FqS2KH4F-COi686mK~%z&*d?Y}!8C
z0L-|ByfD_@-`B0dLtD>x?zt)$OU<If<u({LtRs^W@3u2czt;Pf%dm0Bvrx6f^78Iv
zUgK<Dx^aA9TL=`BdS^xVwxPb4cJNZpBaLGnu7~k|hlc|I>czu(8$<kbqn6yPIoREA
zbLu5f!BVUyIeD8o0L<EHHji}X<GdWVqvaS$V68TrBwZ2jF;zKZg9w!k@v51AQ-P2;
zKrc5(?9JDf>He1g>{Z-Ogy5@QLiu8>buQi<2JTw~LVhs$Js(jh4$LJrL?Gfxd^YA9
zFu91rva$0vCQJm+X;@h7%CmsBEr736hy_D?gF95)rQVr&i9G@`aw+9hS36I*3?FEO
z=U91%C!^0Bnfk+}?CcsSfpko2^-a|PCjxByiRjJ`dx*a0Zs;6-z_~HmYqO}>DBP=R
zrkRelX_|uoM@F#(So^&(06ynK0=H^+J0#w$Z+7JyCTE$cmIsQ}{GM;jm$YXa-8|L{
zFPAD;D+eGWCyXihJ}G?qQy|i2JYU+J10e_{KE4!;>?F6FeS4=_a+I)>cj%iCct_}3
z-!j(g9T8sMSjBAkb@q@;PIq<Z#&(!hxB@4d5@}g68W%-vL0enVcX0Au@;n!Rm!vJd
z%6pcMd&cxw4B<f*r!zSllZd_G>K<5QW2p=?D9i~<YggYk(lCyKusxK|8-A<sLUais
z3{;p%EuuW+N7EIOL;cv9>peCVmcU{3Oz$mJ(9JG=7Are>ayK*uSN9&5%t!D~ZkmA{
zPtNlHMiVVX&)&S8fv!1Gus@V=k$av<q)mR5a5{C2(cEn$|0;LqRE{Hq38l>kGUWQ`
zXCSV1XNWSBfhlzs>Z<DW5BEVR1+peH64S59ymq?Bf)ciW`h>p|P)|Xd)oTR?(+M<J
ztJSjFa&;E70*i>A0UB1iIa++g$8+mxJn6jci<yGk@BT?919yi-tF1_%l<Lkkd%fM)
zEixGWvT%>Jhybu-&ID}w5ee;4iRcA!SVIm9+e+>?l50t4@xFizmVL48;2N)lky=fZ
zjj$#Rr<;!7mj988j*vw7KF&~+Ld=QvOZh)*Gf$3=C8r!%Kk46*sc^EHnGpUjt5k9K
z8>RQ{KEIF(9>eX)bHkiKn}h+$q82)%y+9f}l|mg*FgM67J-s*YpTmN=tiI`eK2Z4K
zxdX<*7gJNXa02aX*nSJSd7{*3dOZtfweL2Bj@|}U?bL@+pyl`Yfn#kLF_oa97v`03
zT5>RwnM4TF?8-kO%4ik~Gw+TY)AB&0HiLraJ3roT;Mq*cE|ApEoM~5azlUs)y}18s
zAQ15@xPIg|R;4KLK#}YSt@sFy$|nd<LdM2^Y99PMiv3n*05y6{XhW1nUplkT4O)D&
zK@70V$a$~?eOjJWKpgsl5&DI)g4YnjF#7uokqGomKY?$k?@UX6$qM>ndE-gB_bx9e
z*jT^()zDWuhUR<7(k79-x-6n>x&cliPkzwIo1zlImRy~Mtlyv;S?$gta)jyh4DS=@
z8O}vOAlM_oJtVn)+MiDf1U%_)Q1HM?xZ^0H>Lm7cmj@K}hY|YbaKY>%r0yI$tBus*
zHEdX<cL<HDDwz$u6Cu#$7A-<|$zk>ot=2_-a4sqE$0P;r5!BYku{vFOS2~xD>1|k)
zw+Q54jnn_c#cq;dKr2&c?DHNdbiFpq|AW}<`m?`R{9pdbDu?58f8hR9;8WZWJm4Sr
Mq0YY*s<tuz3*+vGVE_OC

literal 89714
zcmd?QXIN8R^Di7kK&ci40Rd5pNbgEjKp}MLy$T2cLhlfSTTr^869G#=>Ae$*2uPPu
zLN8K7?+_s2Y`lHW^_&my$M?hkoONBB9d`CwYi8E0nfcAEywlQ9q9SJ`2Z2CTU}Z&Z
z5QxMV1R}P+LJB;YNdB}9+(@lel@x(H&~OU%FyMC8RoTb`1Y(Z3xQOBwcWgnRyCAUQ
zQ(fN=>r(-NL&F*8J4efbTvv$}a+I%CnqT>7sD`YZHg-0s->BL=EOV@`-*9whGlp8W
zcvnyKc~{dvyV;i4JW^TjTwS=~T|a(^ah~F<G|s;j_JI8ImP#o3CGrK~nLQj{=pE(D
z8#k`}^BS|ald5FbIJ5P5rk{c3B(-6A;m*}RME?K$=MaYAs8sc@P&}D3TkOIN^JBTf
zOeug#L-3}z*DrxU&9e8uIJYc3ktQ^j&y@8k<wTqsKSi9LzS!zJVOBeJcfKI-@ctQ^
z2m~TeqO!E;<eyCG=e&6Oi>7Cm<l+M`+Ko0|2H*+D*E9F4C>$$zYa=kY3@LZ`X=Znd
z`(nXBzeMb|FM&b`+o8+Yk9xppAW*zwGeF8=LvI)K<KYT*M}!y4)`LghWs%U)!&ahi
z^OoSOr2QHAh|2gwhd0PKa1Bi6xv3`{NeWiaI5OvOXhe46*X@1UUlciSVKvEPn-tJg
z@MNDuOwn0W|C1Tki#Y%e@1A7umiwCFn#%;nrHU;YTX(ETf;QH7vhXWDN(|sJ*~xh;
z@chZ6oasdReZQ35*UKAHwMX<PzqX!4+jNWz!-K~a<XVrK@qdU0fha#~Q}~L&H#a(h
z#8nt4I@}JBf{G|5+*n6Y?a|`^t2=Kh@ma`oj4CVH#_Ln!f2p{wNX)S9eU&8W&~~t@
z@sMXRg?VN5R18e7nx`#WA_`7|YhW9oRuAf>$Q6c)I*h@~DvSeuGto$Hc(8?QZ#gh*
zo1=*UwiW(7Z(042bUx_vzXJ<4A1XFONP=WX<BYvWwoJ%Rf>dy>m0VBJ{S-xVpIE)t
zUv*ro1j`iLn{ejV&W>MwR>bhrZQanMe7D5~O1k!EoL^*4p#XP>2K4mO=M-Rsf33L6
ziEhhU9F-;WGI!H}sSq=qP&(`7^&WD#@Q9#~Tcq_bFK&qYmjsZv4tMXY*@PcqICvkY
zVvh(o9k5e+Q~pvSZ`qcnt^qZBqDlK$E`I(&0iRwl=}sTz$mtcJ>qi>lFf-uZ%%a7H
z{nfWj2AQB7FKN|uI0aSlY)iX^tQvj}{56J<AkQ?|bal~;wW-||c^mMbiT$7aQ6D9#
zA|9!VtPLMZW1nFrsU{=_<f|Dw|3<cA#$a0Mf<hTfDsvF1L~eYn>`Jz^X6$|Dg+I%3
z8+5q=1hRzbKJqy9=^{(Q`z3DmS_cS?&fi}D^TO!WOBWpl7{2v$A~;afxHHcKXOYsN
z0n0d>k}VowXiKguzC@sAOCHlO@4FZ$)R#T`cuxZ8u)dn=@Db@L;bMCKr+?@q5%3~>
z`26}baJM&f`J5A581yPZx$X&Ch*-Dv$?bJF%ELbjwjUZo4+5=IY;K*UDc30yizHNo
z(J>@={sd7A^bY(Xc~O3%E+3X0%m)wt7zEiEZDHxK{NK6`!e#HOKCD3|oQ&q6_D&X2
zrh6@+!4#|;8F8$e)=doHqy1k#&^YcOMkBXH68z+F#M)O{Q@Jk@5K_lG_(JE8|8f-~
z6!wRRU^eX0v)B|bS>gIos0KP9DNB#>)D^!6mt}WY<e!FWGW>740Y)i9WW>S@x?nqj
zMMx<Q86IxF8Vqdnd6QW<PZM~wN!4Ek_iLAGF(sl#AI;5}D$sQFgK}EFUL@8mqeV*V
zi0ndG|8rUik5dT+C`85qx4WnZhMV36gW+d&b#*82T8gfMR9f=%^7-S0!moYb1t)M$
ziHshAo^TtMTDMuKq+8k*t7l5%X2|MUK+Uh&L`F$K&6$avFJluuzp&SyK7#{F^^s;0
zHQgh;N#FwmTKY>OC2cGXuCII#FuCiutbm#Swspn}9sScDytvTkKTYfNg<k$?9~G|y
zhWAf<^6sMhpB8fC*@agAX&jLkD)*<U&=Lv!{h0XRf5yPNb|n<egjTa0Dy0~wDaPl9
zH@c+NJrvNNir2OmnR;l+>Sh1s$P%W|97Qw-iDOAIxfv_g78VAddnf(g9$i&d)l2w3
zP>jpB)tq3<A5q?IDZ2G<pHYiz+txm5P3~%5CK|&nXIBj1sy!0m>Aa6>&v)Vtlka5u
z-&yRvsg&z@kkGUASGJ_2L;~JX5}JOhCg})mPUe9*>>l{n8b5eIQs7GQ<u{*7Wmq_(
zY-`1omXY@Q)ONl9&eco^RUawo4(zp3@L<#6-E&pkU&v)=FQ!LnxJB6(bn-@P^4{54
zi({y*hWwrBQ0a2RsI4<L{%X#nKE5Em<f=n|xBXaC{;E_5(*To4fdWYvh8Ae+m@B@e
z-SS4loJ*n)Q^F5|YGu<=b}H25Xg0VLP0HWBw|)e?mER*xt>>y5>a(Byl(Y0(yf?Cl
ztvf}NZ(@+-uO6LBT{2%!F8k3ShxwYDs4N*wGyK=h-BG?6U{Ys-QHT4ce2xH>Fheza
zLZWTgP~LpXk;BMe<qFBXzWrIr!NV(HTpMq!x%}m~zmKz;&7Hv%!njmm#aArTMsBf)
zPLmzs?~E(4A@nHjg#3<5cZrwcO^JyS$?R8cM4sM4c_ngFFzgAMqsMn6_uGhyY5(Q-
z5$O81b&8%|;Z%XH=2zyOw%cA#oL3d1%vU<&Q%`=xmnI{5{o0?))msUq{E1Hh5v80|
zct8C0MZrKOLEONAJvoOtclrizRW^%wr%cKN_JQ9|ZNZYFz1VEgoPPEQxpK!6)r-gz
zXovK`I`H8tJrS9cXJ-pBi??bq3v-rfR1&xnQD1&=C7V5V@Nv0)#2rEpMFHyX#-qG*
zY5K-{NG`!rxCpx}MT#VRpGy+bsU1L`wjSsBY>oDr(V65;u%nWrp^TV~GYXxKA8Hdb
zo$EI4F@g@IozRk<eAtAE%tg1-g5AN*6Q+cm&fk)4+iUToO`HyfIqZCpm^9PcGq0GS
z)k<NVba8{~uf40v?GjXLuVfFW-hChDN2!(_z-L&DrIyA9`m5@Aki9q0RqRC6{1Hfd
zQ*Sfv%2g>8$&V=rTCz6ymVC`Xd!cF7`~k3Z^@+tD2(FCvU5KfqNg1DT6OZAhs`zGF
zrOXtM`or^{p1u?u)}5Ib>j0Lcd0gKaYj~hN;LSG}-d1B9j>xb_Ulq<?8d)h~{YP*i
zK)=$-1G**kuQavZhEyx2uDL*S8z)d$1-nS85ByO}GA`kqxoTxD%P8C3fq@Cu1SdlS
zr&V+<zm$Y?Ze!Wk2g4SrqHK17xuy}L2r{v!=r=+K6xsW#ou4$%b#^3aB~KgOOpb!%
zk;TYci(7k(Ix`!58#5AvO623}Vz{QZC2$8gzwuXpI)9{)d7`)hjGJMm!bTnEKcd?o
zy-PxZiiw9j-|yi<`Tc$`9(=$vwV9H8_6dm7ib9XDzTl3I=>DC`j!c*N%oDt~vw5bZ
zbWWkVaQ?$@FZf~AYFn|>{^3YXI;Ou-sTL)oAnA$-zAM|qrW>hB_F2y7&B_i7xRrhC
z`a(o_Ue2`w_Zl^WE-#(94PinPoLUH56kpz|pr>=CkU7caPzd}2Z4lUt6!EX|x`**{
zAuNBY{35I?_9mV)fg_-=M>EQ1oYf8M{M6h1Te=oqUb=9LR}NBlDeGuC_Kr-m7>DrG
z`tDws9yN`gIvYFlyn3ApI)3G_?ekVxg{XfZ>=l&hW?nkH?=;36=Lbix%q?%KkWc&=
z4Sv6%2cKeq$L>I@c#hr+t)Sp?Bdq~{_W^Ai<@61!dCtIQ6LZJpGstFL<xk#ef}h`S
zDPRtlCe8NZI^PL2S+}@qdX~5*<9%F8z$*zOG<m+`$=fva**kj^4!j^nS}1+JZ|F=C
z{Pk9SWw-2yT*s5Ps{1_pi^h2ZBA6+7PWbJ(imRHayIva|Bc9N4X{>)|aVJ%-F9K;n
z^HSY~FrYTPT3^lVSJh^b>i@}p9K*em056&>RTpl=s!k~#u9Jf0G)y>yU$|HpbpPN+
zuP%}h7bhd*OO3=2$C8~l^r5SF1`p@|8Xxaah6axBPHq}#W;iuEDxrPL1tzrmA+Uo`
zX}vZc{>#k-x-rRH&!;@anJanL#GcKWv8sNPC-UIEF7puIPc`?(iaqRZU`@SDN-#nI
z6L)7N9qx7?Ry!{wWsUO(3v`P)cBIunM=B0S2hn0T&pDinTvQPG6T1*fgX->$e0XA4
z?D(dC^^CH1Pg~T~*P|-rUwQxHy4=9=*+Ze^F`Rv`w0`Q-1T9!4RK{rk>{Gv|iH~=^
zw@M1VR0hpw{8cder)l*fEqk_|s$?BApQ_aE#>|JRdc5<kY880fFBzvPRC**Pp_==A
zo_AtLaa<cE*zVfYBg^OT8R@==+2_;2zziDkbse3@dOl$9ugKyb$?7IH9tW_me8UDO
z<DG+(!y7FBZs6v=Yum}O&Q@02E$2QSYgQEE;8kh+q&E5P>6GN{%qs5*8?l3cTnY=1
zb<bKmWq;Yra(ueTFY<ai@Mvh+%fN(MY;lynrAoq1KL3@+Ql>5`Dvl{@S=P~U?a8Yt
z4Yt3z@r8dqAes2cEZ_Cc<DB0j(jE*3&xOZIJ}+BH2PzN1Y|HiFJTd9KSggx3h9y9G
zfY4*0lA|lBp<T^TzNumzm7@X|_bd>QO(&{KfkfKbt7^LjeQz%e{uuB$9Sx~fD)0xR
z?}4KxZ5`8mO?7Jo>Nby(9qt!6jx9|UUjLU<vhbFytC3S4L*>qJ?OMmkLIH$bcwmWP
z`LzuUoOZz@ijU@6QefRHDVlR0u-)NN+jusFi;#x=ksVRs?`3jMS`Il3R{x|8PxP(M
zX1;L!dM|aVGE+O9&sMpRz7fcequ!I7n19`K2r&r}^xZbFfu~CCerM(I4O39WAvzc9
zbl|_AiqBwJMYQ2(X<xz@(z!D2%eLq@wo8&|ln+0s+P5XIngHKC2g4=Q3zRWx>1;>E
zbj}jN!&@AM$@!dsvBMy^Vw2d9%7tr_S838GU@GwLVup{OwkFMsI<q6#x$CA@A+e9q
zW=lo0ki57kt5H1sIV~hbT=V3)OD~cppu04pZuxw|Bg=dV!kNi#WY)MhIsW?Ff5b!z
zc)IJ|JR@Y~7F`FK%>5+USq8y$ThXJ*PRfXU8EWnc$1*7n9!bQInh<-f2YaPT9XmC5
z0H1Tw;iE}o+eWP=i<Q!h<-TNxFg4b=vXsFk$2dL#FThEFZQaj}$Bu`i$Xt(6;}c>W
zdJ%XPG<mJ#XO4b=?b{}KgRlJMi-h1sJjP!e+IwI(WC~*Vh8-H))i(y5-XTB1VS}8~
z2j8Cz{TnHT5EBDJ7R0)wnB6v(nx5X6w9=Ggm6my4w)L~(DVi=}le$HdLNDKCqqJWk
z%Z1!U>8F?lx*I;;>!rDWOb~QAsFbOaT2EUJeMplsF$`zq$cCFIjroL~?k|)K!<tU-
zZ)Ty462^X;{&bcB?-n4J_l|Zu*w5Wdy5`LYt~=gItX?=0PP}0m9XMA_0DR&dpOqAC
z5rlg({2u}pc4F#5mU5-;i(LsEG7rFZ-UCQ*LZeL0Eutq5hPCdt5xY#g!I0gB&Mby?
zf6zzT0swcEre$zDv@LWdj9CzaN(=-q0N$VW{}uA5weVZQ+^7APISLC4hv9wi_a)$t
z91bV@ScS4Nr#nNx|Mp+^x#CNvWnwbn1-GN|X8!w>nv!=wFk~_ag(UTX`S7POJq7^K
zziqThD9i^m6?8OZ!50{`S-VWF&;6fXp#MrK{Wn12U{v|hmBcdxwNs+>W`2?@RQ|;}
z8qV$`2N}-OTMRS30ZP2=vz2~D&=&Y#gtYQD=)rZN_MHq(rJeIW6!ds|ZboLkq_qm@
z3@WL<4p=9iNqkV4*<~%qN!0e@Ox@`WwLTw6>vNy$kqBx170?3`yOD#6t|@wIJ3g|{
z81sM){tFyN{fKwqFRdVsNWd-J`^Pn{o>g?z3zW^-?i-pGqy(40V&Q#MPg>6j&_Gik
za1Yzmv(6J{MhQv`y**#u<5X8K$0UEeZHe*tI9BJiR@YKQ1R}jqx^G2A!Hy*mkjlUX
ztEL{9sjMtf2Q<2+fDEM420W`DsWIv}mm>NI)h{sI31?3;;yK^C3|i;=Z=(JS%c+V|
ze)Q;<Iidw0c{c`%NL!S>1fSL}XEJegPR*Q_XW^Z8?k4^X{VnAbnx#S}r+Nwse&!<g
z{(?skad?Oi2*|R@1w4UM{nzRiwEW+J9{=az-Tzl9Ue|4XfIU$lt^W(xECKBMq<D$>
z;o_1iAqabtpS>R6QuG(@uE;l2?0*XmUD)GbX5+q(Bg+<A3^V%+>VLfnp?}~wJ)kXV
zQRW7p;lVM%>pgL6VP-%I`=VWZzp^ym33q{uK1a)-f5MW#3xb(A_F4+5{(WPV^CD++
zn(Q~o9%P2r>V)w-=cd44z!5K*e5MH}^V$6}-0$w*2J(Y6-_rbaDtR>?c=s)uxU(Id
z?V2nXEJpc(K&~I}&XP=fZgj#M@8!y)VPFrJzH@8WsaKus4qQZA2RiIc&(bmMV?NpW
zunqw_U}ECsA9W{JwRc<%;A-L(yvgdhx%F<5Lw60z+KdPFRGVZVt<wcJfk~l2nui^X
zX;R&VX%U*<u_}AefjuN!$9i6ICoM?f+U^p(?5~;f;p9{>7I(3WGDc!R6880vm&5pa
zS>`;pyxd$!JbP^ec7UWD^R}r92!l_rkIa&I;<HqQcmQeo?9RE&MGz)a&-$m6U#0p~
zytMahG|V~|`d#_D7!dMo^CH^<xdoToih?SA&x!Mm2=T5~RVfIxY&E?uTm-Vp*yn$m
zU9EetQ{}BMj_4E^1ERT-Eh|z1YF7+Qd6!4Zep&?`fLt?1@-@NB%$lA=_nohJk#2QJ
z!DR2|s_eQu*mY!n1LQmVMC{}phEQVF^|MG|I4PWuD@!t;&_c#&=b{_@xR4Vp$%E)E
zfVqucXG`!?)eQ3bamX#^MWw^eT^XswTEBsIw&<&$*iVztUz9J<9{PqEF*MrfIT@Od
zK@>>u?fxt+Zmf8O=sg&c03<Z6*c?SXS_$LBeckKFn{(@`rr&jl6+M&3p0Fw}%B74e
zEpzRMvs{{n&?KB`?y{8z8AMtnIdPTy6w4T)6VPJCG()d|bv*QmqPO>`RO+|byoDVq
zvN5S1mzs9Nohh+2;3Czb<|#B5S=hjph5q2Z*~1E(NMxBco^#sUTHP$ndWcigIO}SP
zsP5Ny%yya4Ugd1s<8y2YHRz$i!-F+U?5j+FH~j8mb-#I2L<A)uRUO`e5aRdXJ=yzj
zid>IQ(US$93ta3$db{=<tUS0y?KK*9IaIk3jjAX+j3W&^{Qy-ePkx`{;Kp{}X$@^r
z(s!C{KauS47sL{x7gZyZd1ix#d)Tq>HqOjg@Sy#q=Sxjzmb%3<FJPtXVAxQjC@IN6
zBT>yLGy9hI^c0x<fUM)Dj<u50`(+l1@>{z#liBvYx(+O{0s{RXL=S$S2oXz30wWXd
z&$bbLn|lSeU(Pyh0(+c4gR3roMSloDKF)%lMZt^Xof46)dzhuj%MBJxJh;={{)8>%
zTlb|f_B`T<R-_+2_#}FPKUW*wf%IKzjs>#wmgiNTEd}-o-;&;Rps&THd3REMT`$<!
zov<&q@Sa$o;WHD2lqPX>*T)7#b7CLp2v5tyqh2_(mD;G!9e-4N!%kAJUn@h8G_dJW
z=j~6-5<F;d!iCUW11cA+SA5+-=?4`RxMB`7?p}OV-Nt7p{$7+tdO+@if$BKguR*!l
z#QXKGYKAno8A=yggqd(AEe2!y6ZgTL2oAmtX@U}VRj*zSD5ZrEcf+5Rr|Uq1Dz*)`
z1(7*La|KutI_eEo)))zkoh~#<Ih{b^xNmVv8z0Mj%hQK@w=KksF!n#nZhLfa=W%xB
zOF#F(NxmtQ(1yr4{ag`JqCB1j^z7ty2tC<1Cyn%SCocM0(drl4a9G-e71eb33%G15
zEHhXF7Gz}KY*Is7j1b*Y=@f|H4-AemS6`FHO-<bf>PyW;8>JJC+r~E{rkmz>M4cYj
z+AXOM2W>t;#He&jAUJy2R-YP88n2gKE9|1x5T(!wt>9ObdUO!$Rxbo}51D!nSYb!2
zY-Hrw-XXKyb`C5}Zdp?`3w9UQBZ(P|$smG?EAK5SpHP4`!D&3%u2nDJA#H=Mqyf>#
zuPBZvJ8#~LCE^()l&7~{1@^7IdP89FGm8_jGz)v%9CHgMZH%0RPi!!%t>{3MdPh{k
zs3lg9Gp$(|u+x@;wxmFqJaahCmT}X!T4n6exdY0;?@TCp32*Q?EMm{L+3kQIXp7&c
zIt@i0EnxNzYT+s1lP3h@HLJtT1_$_g8q$V?nH?*}EzOBTp+79HRv|B{ZY*Z5&*q1s
z);bcC#wxzgw@RUPAa>LHX!IKc@q_8Gq}pscT5HU83Dm>Ee0QF5%MO3W2q(;sBoB;G
zXX^E>+%&&I9aVbsTH`={AZ;4JKqT;shiL@o5wXZn6{uYH32vTPMW~upT)siIL*=lN
z!jZw|kS4lIf$rf$H>AOnz>O;Dd)tRWeZ}#{#mSx;vh2Zwk2=39OKPSc)zB6v6>&=<
z06J%%RGl4;ttItNo78*%keYIyAj>;*n!XCYbMg!ROr)9?y1~5E5@su}%kSdT)zCU+
zQ1jWZ#Es2Zk5D6Q7s+P-SabJCu)pDY!`Z;aTCA7820Q_+<vY@k1{i7XMgC-T7E~&k
z`5w*>w|vN|UA0Xg(#OGg=HA&Ce`b|y?IJsgI=s7>;uyaR*`n*&{F$ukJQKhEq3=)?
zx!n)%O<HGypBwI~!!_c+-@}IAJo@Phth<VtI1>{TfuD%|RchU#<1p&J`_4;Z$T0#s
z$iZzFm_R%IcG^u#)6C=w%S%3T<A)UeKV=>q@MS*0c*U5w_%c>~FxSDjj!5xm$yqnI
z1AgTfF;IAxI(YMyLk6{R@XLdPi4ALujj@2j_D8D$xbp8=fWjE;+2a?xGphH?wK3~4
z3-{p$Due>jWmyN8r}cAL@P?edHlOU;>MgAw=gJ4?53@x$@Na0(!Ff$u>8Ri*;XvG>
z_1$r8b%Mi7ls{FbU~Lp|^i>ZKLA5!y3%T&Fx>&^bpBK*0<8i?54%Do&YR&gbT8hr1
zxw^ctteA7z?Eo{!7QR@m60(Q9gQJ_w3b*PTS7vewWvV|{6$Lv%D(+{Qist)$>=>mN
z^E%K>^Hj7M&SC4ao9{CLcAB;Vu+vO%DD95pvn9u|$;0JwD7;G`UYFZBjjMM<I*a)s
zPHC@yBLIHu?7QIBEAX;U<1y5suZgZ{YrPQelDJf<oIb{I7##HR`GqeQsq{K%dhdDC
zS5*FSp0(ENa22Jcol^E$seG(Px2|b)ydf=`)c_FmB$I6?aXz&1bK%YskGTvMju=tQ
zwxQi{jhlN$F{NNm)57b0XKCPh%9|b=2c<C)ReG}#Ht?Wq(B1%BLO?fy9&rPlwyTz^
zt%DIXLYD(h#NYc#N6pRT^9*RpIB;M94ODseC-fj3y#m3TTL_M+QT%a<T#9G>LNEG7
z(-`4{#obPJ3ofc!b*ZUTn?Ar>as8?8j^=j_MU)8UfU7yKkq%zi{FDk`<0*Bn%WVqe
z{Zw1ZnuR#E*6{3e_u((Mip8Z%ao4D*(52+ELUq-tr%ZIA0gkN-?bOvP(0Amm3UG(M
zZ0riVLxy<J^VW2Zs3J$BL%x9LXb~>hA%d*>D>IZ&yXysDp_Keqi=`#41`~R|0dgb;
zEb!?3l7X_bnTY4Pf~4G(H$US2e&3nL={wJ7CajX4+`Ne&E)W|fdAaNF`_*QZP9<wA
z#kLehfq}ml_jtm6kY8PV?hSlPuVd;DlsVQR(;ICynJCbEoOLbKpiNC1%PcE-nR#`0
zj=!IKG+zj_^IYpTYqrA6;NuDgiN<&q@8$XK^5tqd&u-f_cD_tmo4EmCOO>@TA3CWz
zIjML5EH#&a%_F_^x`X$>eD9AS&Ub5BuU<cU2<UUy72nq~MH@lz=c@jCj5xW8EGF3(
zyPt5&X){Nt{(Otu-&QZY3=frC90@#Nd=*jrDxu=|AI+IZ{0Ter<o&kRkG$9PnGrv_
zo;!3$IWV?!6gjYna{iQb-|fiWmWMBy?_As6dg|CJ4_Dh>A>)8#@<{O@%*q}iEZQNR
zpVLedY5cq0tvm`l!|A5`6JwnukF$L=5N`7$!g{i0FJEA$FT(L4rDlrt7h};2u%wx9
zW3UqE)=GZ2^(yrb2~*>~fPJ;J5Zk!97j7HQAz~`okGwgVls@#$Qtl_}{pobsR?paE
z;R|slM@;OQPAyCY%>aL{>_22S6Jvsg@r*x5zw<iaA{!KQ&){>2s^9F&o>P6pln2&c
zUaRB^&I!)zf-Bq_^hxzB0(1Q+;kbXqC0}BK)-C3I7o)XG^Use7_7s!&wDa*P9TJp4
zyA}g)@N<>eiBWg0Hw%k!KMbk8YF>H-U?h~soKi=GPmVwOzKyU{!7o_u;9K@bhQw*|
zb0M!HBhNqg?i^;eW3q%)P|z~()q<0*kwSt!ztqewgohQVuz295#isUGLdOI)_E|5q
zsZQ_$pH#oM;eaFshKVlNPxW(|z24HtMjoP!83E63E_i@83Fm5s5AzSJN)Bg-y<}X>
z@u@%k{?gFhq*T0;?><Z7sQ^1Z8~G5dz>(pYV*<DOG#Y$m4q3-!M~Zz~EBiU{uBmMf
zgKgTe)5hXn2VK5^O>5>=A-r*XqYK&r=Pj$7Q(b!&8^04C%f2VC7I>OnA>HI><SN(C
zi+X{cc*)3VWOow%EJ^!4RbSayjZ;ff9Ml<VVJ*~0L)XNHRTE*g(SFmZsr*ucqqS>O
zdiDEy{Oj8`P((px)oKJBKf23A(1;gRMDMty-$c?w_)&8e)*Aq4jR1NZ{bDDknpLm7
z+Z|P0j0h;*17~|~9RKB9E3?XiJ+~`cN`y_KvD8rqU1O>LK%hI?Gj7Xk&}O3Al_$<w
zE@@vJ9GBKsU0FP#I{>`!islws=lY$_%m?oIKWruHaX9Rfr|*2I5!+4od0U`(a?NX@
z(Xc?ay4OcV@>x#3LIu`cPAYssW_R16Hhn=>C}HjR<-YGitg||uY26Q73$Y}WfPJTh
z5(j;S?ewFXWuG6;ul&YfX=j&#dB4JnhWg$K`Dym8_p=A}E%wJS3hyQY?xVb~Zaen-
zN1v4TQ4j9MA=9mXqlwfa7(J`?mqqVP<dF6$&Tn}tZ9iWVFyfd}MdFf<G*$o7<64M0
zya;BzYlGabhBvZx9$C8qTL(|4&6i)8FVIL`4Dp!%KK7;B>`wk7XSZk1$-G3dLnmv`
zY73$gj4qa9g-QaZeR{P>?)^S`%{HytrznkwJAbiyl?r_1DO)FmQDUMu4e}uj-@)(b
zSE`|E2;X;w3lr8Z$}XGcDdKmQ2juQz=i1#6vO|^swCpob&3ohwJUwabmbK5JNrj)%
z2B}@KQr8Xin>b!)a-X`Hl<*8@rb5kaaC>?%0235gKEaN?fWPldD!Y@FjnQ8Ca5g3l
z0IB-!^=@q44j8PNT@`SKvFB$?IEEovF(bpU7dgenlKXAk@Z_V)3way?r&?~C@@JdD
zl8?=?C#n_BFMy*HAwhatgnmN3-1oz7qSOf}JGgc?>TAEDp=WN0yigA7iWBaQ^PI~}
zD$VI)Y)A5pYyb+GV#`=L?=+OUN(^7vwBR?*^6va>)GG}8l~f>s)9&QqJ$V}#v?KUz
z*fZ#UR@6>okvG3)uMPVB9t#(GU$jw)z9-n>0xAK}q|Ky`UB^Uw2SJE-vv<7E;_*5r
zLUvVAV=izN0v8In%+LlLou8S9vj`VBw1d*z@|W3Oi6_3A{k&pf8H{0O8@uPwC-NtS
z@kGdO?uU{~y`zyuk&O4$oR1ju+3yU_a}`QNlc@=2+r#I)>DqTFOYKHihvfNq?nkK9
zQ@H$oHlCNqtn5_>mGevm7&twl7W5tP2m!c?z5qf6K!O5pwhnS5x)Xhu+YPKDYMLwF
zIOaX^3`&~!F2bGTQ|p4vW?@PB4xf=|zLECcga9f#?|zjgxAgL^A>G7`z7FQs`yZcZ
zHUy_X+pMei_ME(-6SLt;*$}-*K!!yDdzLG3GXQ<C#?d5Sro*0buQ$LPP2Q=~*{(dt
zk6oSFN;|a=6a6e-M$T=(pRIt@Vzceaex%q{m@M1mwv4|(QBN7IcNQ5Uj|bxVG&#&%
zt<CW3Kh}vigEa*42?5gIs)|01t%t`+yH5<mMn}G@3w!;8Z0go;%dkMJ8@2SagsCOa
zTKhg!PkazVf-zz=?eOL=8K&inRd(Nri7aD71-h(G920!k>`mAK1>djBD>D?&E{`1@
z`^HOUq9Ir6LP#Fq8IddVbrY{1e7`x1R4vNdEMkCXrc88%R?Czwl#F2N?SwI=+UIT_
zLB&mYAi6=t0gT%RZk~fJ0t~wXP0K_$nA2dX?5Mja!mpx(fK~_XGen>TK_xgjn&y3h
zDJ}!f!)}ZGJ~LRy`Pq|MRaOAoVpcB)0zC=7dI=o0OH)0bCUJ*Lb<+cbACwh>{<!dP
zykM8Znp#>~&BXoV%!1B^xOz3a;MGGm5A$AoMn~y?#y=kWJMQS!F6_D|FwYd0f6RS4
zCn!ME6v>?CB{NmtG;b2THc1EO17gBwtC|rmslvO_H@{B)+7kF}=Iu=YA1ls(&u3W~
zsXnFErzQq{6uq{6=`^t^;2BySzNBhV2=5A4sii{C6k_<HjdV>9fQn*i1}j=Zwdw_$
z6f8r)%^nt5V>SV2t`+S!FE8^V0Nl##-m4ML*#Y){1nUY0s#WP{Qo!^+PLR*uwaMLQ
zTx=VLB`*gy&%Ite#NSgszcaO@LKt99iTZXME<H8E(ot71uC}q+*cn=>YW#4pO4I&b
zQrpVBLP?6u@HPNsgLc0bnV~nrC*rp92km(q%2RAPB6rHP2)as6a^Cg)x1QHEl*zdj
z)IQu>45&WU%qn$#HMArP9RUijr1XdaqEpTkLZeaoY2v=mT1EF<5&M`8{5jp7+ni%o
z@EqmfM5GFMjYACFXo|iM$D5<A!A*(4QP#@!6X1|v^Xmd{yH*K}y!`X+iaNiDhX^XT
zXi)q2GOP%r20S2x-S&pXgclxdQtUs3jOl`jpq%%_F@j*O?hPiP#A1Z({0a9n7mPq0
ze=15BEyEd9Q&lu4r*YOpmC)B^x0hg9Hdew>{TLh?lhj6&-m#T_#$qJgV^eaLX}`&K
zm1$ADCA2W%l(B7+2d-;mE<3dc<EzZbt~NjTwwqNxeWP{hRO8GEKU5Smppl_x;fLlp
z*eb{vbM?~{JKq`UZ!7_lDs8z~ob|GVIIHK<)s$)1AARjCW*IQ%rD}~Vx54*tMA?`t
zI-9EF*+gIy^19R-5QeQYrM6J4A59;ZiB`y$(J0GmmkD>8aKQA-M*5=KmHo}otnB9*
zqV|>EJi368Ps`&SjhxMb1lG1sEX4S0PUJYibP!W-_0NhxY=W%wf9A~JaEyR89IVn;
zp+r+wvl2a31UT4*{s~CzWf`lqTQ3sQl;}Uz66VEKBIDltkgY1U{RaSO*?q;;U$oQK
z()xzUZ#>KTsCdgA%nxLJl1KZ6H>!&6@4TR^gM~}(EDqS)*#*wOKP#}=+bzSv2BzQF
zYoa^ZhUfEXf?oi-=r}d5r+<dY&?AgGmuDvL@9#56Xo3}r^0rMm!)<^ZXRNyQiLWNK
z@7qrCxuZ?@+grlJimF-pg^+mT=RX(WSickt`?A`g!25tk+_feZD4FT5Qt>E;dnO^X
z;pyzo@O3_T+{2n}K6sFP*)z1)OhQp{LZgsa({%uBHhYJX+haDjT_+9$p4UAN9zs&E
z;|+16qDlMk&PKjLqZkT1A4K6Q)aCN5LD#-&H|+Y<!?7E2Rz<r^dFnv0S$Aq&gRfYZ
z@(`EcPxY$nBq;7~sXA^Jlmfxal;<adaWH>3SbP7tWYOKMTfp~TfFSZ#6YThqhmqCH
za}lbY?^`h%gw}dta)Gu@1aK!SWY9)y9RQRvCdi_l1B>#jDwc~@A$V0fvqo!&;r4*S
zpPU{J${IiW?`;xL_}@<A5=d>XT3#M3u1`pg6O%I7i`^;f;}8LulZ~4tee}^(%BT#M
z=w!P5TBQ@g9@Pb1)$hrN2Xnod0W0w)^lj}Gjh%)j@fc(l^ilopS^o^2vkVGw<+&7s
zE&)oT)QjiiYbFU?nuH!pOc=4Mvl%`Jt`YZ6!*@S<tUKz%c_p%ZYQ0qziZ~byo!@{<
zGSc_3=u7Rj`*i+Z>>{gfWuouNTQRmd8ZtUaDl}Oi6h3DH53(0}V2b6hNXWWR=yj8C
zi3PPE*#Edj(8O&UcaeR9hUadqiBnk+zN}XTQI(Bpm3uFo@}1ZUXK)%l-_)!*<JwG<
zGknVr2CK1Jl&yFaXG-QbmU-oitJF0CxXZ@}CNb%_#yHN78mX~7tobf-VZ#mW424^>
z_tYd?%yM69cCSn1b_9f?a2R7@gNYvpH(5>w;#AhkO>>Qa!==_DQab3!&IB%2iHmwG
zH6>6_rG9`ZNDS|Z-|y%nHsO#m#Zh635<Tm8MFJ_9?_pcD3sN#qHL-R5U`!^jt<i4)
zwo;Ps1vWD_Ojs}`f%Cp)__aD2ofRUR5(6u$-jqw076r?%>B|W0;outj!5NcR?dpEY
z$QlEY1<e~~{~HA*D5T;<zhUs;J_AL>NL6%A|0Ila@RU6!KJc3wRHVGv2u>)Eu+$Fr
zc2+lQHQK11v}!w9mF1t<JR4GlGGtP!>euTEV0BZd;SPyCns9V}m?)&)E%jkKbucyq
zNI5r5K<J5qxQ&8Hz_q#7I-vr$2PdFrXGOsl@Cw~@5e3Kd8svnegc*;ha8ok0MxXIe
z2V2*aP!#Z0w8<K(2c(9noxb+v6?+bj!PzM^Z`HEDACpeOtG{gx7voR81t@}er|FoJ
zGV(mh^X*HYXV~p_lJf6AN7R#+2*AOs-D0&YH#~z`hKxIqMFx5}yF14t+w;`H^PyuS
z2M<1=)~awC;ICbtK59X`Kl9XWWAqR=j$XpS=k`T|@@jIrhE7Fa0<G=WT$suZa-^M`
zl(myoeeC320vn5rJ~i-)pr>Z?KL)^4WgBhkMHliMfr3doVD%MFJOEc;vSm%m;`*fP
zIoL;eFEbv<jZ>v~mMlo9V5T^G@$ZmQdvQ<}-pWRu$St_;eItxoniV|bKK4#-p?dle
z8Td%$KH+Zfr0}DQ<4vam)zucpFy9HfAXS`Lu!YRwaBH%h_P%kwD-fT~bjxMomIlU`
z-fy|?b;9-4OeN;-;}*&7AUoB=53vzqDU;WFH~MaW_kwFoG^%=ZX0NB1b$Qp%ga40!
zU$+J~p`D8@a5~hKsEU4-yspFYU6ZeUgRb4{P2>frkv=eB$tb~gX1K7>TUSoLOp7&w
zoh^xFn0&WAnC%^B$6_*Qz{Y1Is*JJVz|+MVN&9PSF=Y#{hb1fqM%GXl1|x={p_$0J
zFHC!kveRJM!sOnVExJKK<sb=XlTw%<d!*yA>BJpuxa-$d?111|`6iD}gA<;P@6Vtc
zfUG=9GhNQQm>P&g*A3+JYys=Ofm2fGc@{9OzLk{Ng<sDcNti-U69%n2IOLSzJu)T*
z8{gcD&r^0G>zR@}y9E3jZM6d;u=|k!J%v5JefeXLDK?yIo9A%&NDOTIw!4(M{kxb#
z2L@b`gNRFD$IxEcqRdqPWbl1(SCWM^;QObOeSX<g_xk%|oel8fhQ2`^9v69K&ANql
zhoIZ{K%h}20KGh#?R89Evf!*V=N>ziqG?o8k>F{{F?rn&P27(<vzZnIe^v2M*<HhU
z;cp~%vR3P4S3NMpJOJ{7V?pTkg8&;vARp3ny#kL+<WeJiQPXzYQ>ZqrD*F1I=lmeu
z<!KIkXJF*ZE~A`@c4uwbe+mopVe)7brLTowI4bumwM4R#&mH7|r(2_+yc5{BOzknD
zF+qnDV=3%YJ|~k9n(?yS09mF`gYYn=Oz+>(xMvdWg!A<&zd+q#{P_;1HsP}J-MbI0
zNmA-Qetx3(!YFiP#HGs7q@ZeewVF>+SM+trxW$@b)6B!P_$zuukPU14XKUIJ`utnp
zIqzN8eNc1XnC=<)?p3heCJyhm8PE1I<FfqsQ=IRIj*K3eqv?ceoSpWvM|+R0PMez=
z#<s$6q^BY?`86^;UyqF-8%;9(0dB(|5av-5iK?cv4-NgyU0%fHJ@nA{%|A2V*vi>k
z*Ib>%Br{Pso`0azp!JQDuXWQ<|AWCWy7=|mw{JZuNqnDOPBo=c{AkIXif9fb{}hof
z%h`0vcRI$^XXP<E$xU#X2;0I=({n}Q4Do5(>*Hl@x|Uv(qh)*cd-v{TWC=}|=y|vV
zS0+Uaiw8_=^@x{FTsj^YA|=jOS5_YtPkX@>IYLs1A0K)U(vsYEC1`z4!jK6g-}Uxt
zn^IxmT_2Gr@vqM|tR6q}W3y>=EX0S}*9;mr8R%>5*xA?x+YEo;78sV(yjEf+_)@zi
zL|5*Bb}gX&pY^$sI2PM8mt_XEbag5e)+CQ7zagX5-43d{!!u)qYv!{pJo5(_{7Li~
zRQ&dbQR<;V>JH~Wlna}$aG&O;p1fn))3(A~d21WSK)g?`0SytE{Dxw=$21w(bU6q1
zYdS0XLOQ`h{m_!j3T3?0q+xAQ={m22%6vQGvRM72Xu?5>UKEw9efPtHrmO|qGcj70
zl|oapeAV^!_Msf}!+sJd>Ub|as$<-6V+Z8xt(g{{+A%x#xGn7F+I~?Q;)rcKglXiZ
z`Uk&<oE4+S$&{#vaNKGu?iQ7q&jx<5>H{qJc%GT-sJ7>X^6<(*tB6?p=#;pf=Dtk%
z)XCx7_!ws9y*gG|-mkCBT=}kFzyA2=H`3y_Ln1-MYGzqyJ2xR#U8;hGpjZ^;I_<2(
zM*=H2>^1A_BSA%$&``+7<MPYZf{_4=71i;q0WC6Ra@5m-)7=w6a>wM?E}2hP@1#yq
zxdtD{YAGzo)(Yz%kElUbCS#1Y5fk~ZZ->wA)HP)vO_jJEOiq%p$sN|Qd7I;HetY>x
zsHcnB{rJZZdo{ob+mO2^c*eLbkNu>Bs5|8PddEBRAkc<yF?p0O5LO;DrukZUeu6e^
z!$sbk-t~s>S9>$5)3?dN=73(g&prq<P(1w7ZPWZvVx9NFolBfj4;Ecte*ZDwa))MM
zOQ9v=$yHwtK`-JKXE^ZwJ?F|@k@{pi=gvTi*6o51zh@F8PnXaZYJ`<D*GJibs>K3E
z$08wZYBS50t&F@%8>5qZmrD9E#cuU>F4L<(hh-|$<RqOlB{}iE!`9eoTwkc`Bb7(%
z8KspbTe=fANGKj!keMPOH1~tfu8+*awm*Gk{rb(#%&OhjCS83^oRdLHKTRzQa4?rl
z+v1}ZzMIlB=bF5_e#a%?@-C+sKat_Js#_2Hw+nlTl&_9GSGA_<eYY<$I?tP9@pIg3
zWbbohDY5hn<+szsn1di$n?k;h@{Us(wYKA(JvoPh+Km5f)&-Cdov+Mo56dO6WqC_1
zF)3${6l2Ye^`vWKq`a3@KK}L^t-fCgysaGdrd1Y0ADsEEnz7aATTCz)&)2tQ|L8lC
z2AfMt__WA&7@yuv6=0Z`NlDV7q-_H=*#-FZSH``8G>;lSTR>|)U$JPuW&YFjMHNRv
z!H3T>h2y-k?c4fzoq*sjzDD}`$=jUAoX+z48rN-WW-_CNBn%;2VyUmNA!TqYR@+QR
z>!mBvuzRUIF(fuN@t0&@+z4$xDyo5X<+L}_a&tPzLpNTGjMF&%R3wt_p|in_GHPgk
zfKaBj`zqbolMDVbLq-fra=Zp;_S<iYVQ)PzQ|L^G<kH9!hU4A&MlFb;7zBp(m{X8K
zm?c7)g*Jo43iX%+&;&3y3cA{EXzO%$L_<i6{6|P!;o?yy^m#!#;%J^U4uLrOM=X%u
zkaWF0$$d0GZ9Jc5*&wm6m)Tj6J`{hm<ng0(I?8^-R<Wx3$Mu9-16kL>(@fSA-fh8T
z<|iEC_9b>hd5<M#n(VC~tryn{K%KQ3=TyRKi49*B;(mnE1V#&;mn0+jmip~A>!45Y
z5F$zjR*k)&3E)?e_C0++g2WYR<AyVr@e(_@)XGIVDfIJ=k2y`>0m9us=8j~)z4J0M
zHhk3ZF4L<5mr0EhRkN_Fsp2O!Ii=;!qa{}CC3l){du()aWt}0sEy~_1(^puvh8s^#
znbT0SNFOUPqgbvxjK00PhqmFakC;Doi0LgI?b_dHs9G;=co^d0@*%@W?<TW-!>_sa
zlPz)Y5AWXJ=wA|JlV0<PZYw&H*_(uTxX(D8_vh@HGzH@?+4MZJ#Lu>bAqrme-n)l3
zPbA^GN0!z=^IB>0?LL`EJK!Gd*+qG=Bui1(PVT+beLAOVsd~5K&Lk^8z|p;k&?FkQ
zg3HO5mZH}p<7kXxbLBcL(fKECecK<b<%3`8*jD_$sUQ)3fLQmkR8V|9+@5X|ot-5{
zx^~L>^0D1<+$OgABt@clR5L62!dQh~YPjcqt$T)4dam6p;_3J+%*Wo$tDMs<b!4Ly
zAryD@iQnJiABCi}>}SMenJ6kMB2`PD>TgIbPd<_=f5^zZG$zv|uyK9QI;_F4`li}X
zsW#tCdz;dubeYo9Efbr(f=Z=`=-g7nD`U}srCu)1MATmsYrA#*I#!E(J5rg;ZS8Bb
z#Z>A5#Uq;AWFM$F&CmI%Zd2KbUJLt~hj8)t>(218d!LpzzU}Y~m|XJL_J_~aRFn^y
zwWc#%Cz!hI7HNlvhMq$#G7u?5slW^!mpVB5gfeqW8=D5(&k}^DAGeP?uK6)h5x&M`
zU`{;uti7|dez&PfXF@hu%iSYm9{@uY%8X2pVm_mqo&yp#ivdJ}zN$WRReJgP3!1kX
zVHAg%6rMgFYF8cwjFoMqNlb1FhmqOeAWyr#y=OmH6({Mq2=qfAyj-M3U5Rc#X;ocT
zH#2~pUnosbu{E0@<vLWAZ2iM+8ePUC38R3<n;E|R_5LoK0nGti(~s&+{JossF2BDz
zYbATAu;j|CWN0HR+6d!y<qZ)EoHc>g?}Xl<W)qkiIzcILb3-6iPzy#$>AgGs>DR)q
z#S1%4SbZ63{$0i2P+Hs;e9ZU`aI@ThgqvbO!s}||E%A++i14W7OY{Ea61tIM0sFz6
zu6~78>@^&X*6;KR^>gS=E_%S>IlR-oJFK~L=wK~l{e22mXi$3Rwo_rP{XxT|v>;gn
zvc;qch-(TWi*v;j#fMtgD5}U(iAZ6HwjZDZ+m9`*Z)s%PX{>aD`klVL8?PRbr7I$$
zqe2KmqIax!2ES&yP2nR@;`Z8K7@7fbm7PCm=DBC~bHULx;eGZsjn_SMVWbB&4@E={
zdUkimf4uuzH>dv3&xs;CsN>ZI7e%p!3+2mrIrZrDN|SgU`R%uhhr@gBFw$CP6tBLl
zt13gu$`2;{CZMt(^qOr$TJ6=f_8Hs4F=xKupU2#dVhompfsm@(HUWsl(RT{PJd(0v
z$#q{wX7HbOv>Tm?=1*^zpL$xpAcHwx>@s#Bh(kt^E4?-#oGnvjZcTJT8*38=3MAkE
z=PbZuk7>hNzr9V-5+!yuX`-I1*HCo#5T+#(x|ejO6<f>!d4ka;A3lG{jVU6f?nv*<
z28bOPfaGlzTBsGt%H0VjBosPq`KLZ@+@cb0mm^Zm6Eh#WZ9<(x2|1?-yfkZcGtzG$
zI5Pz;uw%-$ExC{Y81DBPth2qKa3XuqeK#XNnb&5`{<F5TVwPfB15Y8e@2Qvk!dt>b
z(!|!*m(K}D2{4K`VSqy`d)?2j#(a6HeilZ5&!n065|nMBXzi^DH?XCU9*jbtW-n7@
z)A<|q9O?IW;}x{I$Rkj5CIPT9L(ULp=etzh!qND)yjs70@uO4l$d5F7Mm7F$CyFfV
z-YjX8AcOc8ie|vIlRG`yX&>7<D9Dv<A00|i`)PjpkR1}UWpwTweI(y=(jU;iKD~Bn
zgfMVBb{qBUS><r4!Gy;KpVvivJ*9WZL+4TZdf<uNEVGTDxLs-`5Jg06xG@7vhZ)&Z
zZu>VchvYWXBT{`>T%Esn2!O87T7*azN8YL9RWpkVxVb{~K$hk6e6wBHV}7e?P{}--
zI172T!pl;MLu&t9{BdHQ*1(dy7b&i{{|3e1dXg@-^n2LDJxhH_`aWlm>QS|>G|ged
zu?JnV>-E&AvLc?~oc*8M**kX52fnRbbee6W%JQ_8^z9l)>f>Jan(2Ngk*8msRHQ$e
z@FqH{sazc;+6hRdq@!$YVcleqY92a~6L-jsI33x#rFO+gxl{^bZhq=Y$owZ=ya=V|
zy|wg0&?4X9>{t}?s5k6vF2OF=Jm@?z+Zh!LMA$6_B2&+AUg9Sa{~cPfGwZ@va;Jtq
zl~j$o>WH+zg92)P<&4;u_1Ml;_WI)rqn|-!yD+N3B9bk~ZPv@D&ryE(5Y=XZ(4)+d
zP={-e$(C{v<$$SQx3WHKHg2L--U);`m9?0GAP<*_m#uu;<HlN0WQkvssUOf7F-eXY
zX14BDid4VUa9r4q7ZSIQPFuk-Fl2jppvJ#RG+VL|3x8?!qh2=`8mKVrt!xHS?CCVD
zyvQc*Qn+}hVkmKX<b>X;Cmn5}K2_t`r_N*0-)mL^Si4Ka^;FxdS8wTU)Ew#ue_D66
z!MP9V9>o-oc}qlC_4?kmvtAn8nO|Om$^q^HEvZVnRoncfS*WE$)s<-SO*373QG!DV
zq1n*#hAYwbqiweBjak!s_nH&cn^`AomX*JCl0tc1{ij%;a^5^HW3o-sDxoyIGG#%X
z-T;`ypKM)2URw2Di^MwgTmhLPT(`0ugHH8klhF6OkGed~sGymw)UZk?)g`;x<$qd_
zBoePe3OfZd5T_xhukIDg{nY<H$5SS5pBZlTa~oXVXB;HQb9iSK$7MyunJw<qh8nD{
z;cDeQCt0kyjDRtJtE_&Go#d9AI!zPI-?Adx_SM%IIB#{uFyZAMkr+-SuK`PPrw3pX
zdR6e+gLV?X4p1Bj;m~*$PEz$dv@VOHPvqt!a^;g0{_EIPmud1rmayD}Pj=F-G$oNJ
zm4;MLAh^OY=*m&O&uZzRV1o}ljiLkeJN7`i1O@Tc*jah0`McxzVMyiSVfdww6yN8*
zm7a~u7h9PK$2qRtap2BvnqKa79hC^rBDy`(B<Pk>y7Ub6*+K5M5F4&OaolF3P%IGL
z^TOz{2rMm0XWvd=<AoP+sRI|)HVo7*(NWpq1(;-N{S1z<YEUZCx>JNl(A)eOCQ=vY
zh`o2pDLxb4vknq=_VT^2w#!>SJeyj3C1J^XZ1ehoqJF5+m4R$6%uiqd#X5euALrrL
zJ=NR)wD7ZJ>PXuG7)XCc=v6fHYSmIM5GWg)T5Cu@?f@AolL%%$zH}tfXKvoO6}~~0
zA*J%l?Cot*kw-hYn^iPt-3YvFDzrpy4;489IQOi|5yHe?1HD0SEw(aQ{23&!vbufy
z-Lt*u{(tOpatnY6$kPEJ|LA-`wq;7OK7_S;@9{HaH^P)!=bU=b<xP)j^SMO{#}jM6
zaN5~BC4+bOFVoUKUAS@V*F<exaj}AT^Ou%n9AauI?_SyEOz1?Um#CA~5j(U1NL}+m
z`s9q~$a>JEO`I8viHyY7ge;|KyV@m_d4|o35sL%>9L=R+dZmvnjRGdqFt=g_!>=}<
z8j5u7K~8EU8~k!ST{26<x2hJ;0GE{U%)WE>*7e6%)C(?~UpVzqnHy^2qc4gAi9sx>
zymu+kE}@}bH79dXmgC8>#<dqaUM_!mL00Un?ss=|r6xcfq@>t{vVC+<zc+1HTNrYC
zH|%pG1eSCJ#xE<3$dM4!)qnalKho2Cdd;_)3R1?|Cw=Rtu@j$axcRNlz=OH7NIdE=
zxh%E6o@`n#d(XwZs^7RkhC`VVP`p3;wfODNr!MYdY9^O)=VVDKplT3|*u-3-gHceS
zS?$su*IQ}Oo0&KDaSrPR7Xj1b!pwxz#7a~0!v2MrmKjhWBxhL6-#Mc~_Y@VBRY|%Y
zM^vzgTk5y|KY_2*XCPeDZb!GulvN%a#iR-fF!!jR?wtTbl2O=hN4~A7ccnGlY(Kj<
zDoSfT)@&&F&X!T*QoxOWg0H-fX_hzGv>KNZoq3{tp}p?;%ZoBHfz|`r?c2H#VLwby
zuSo{5Fb%J}%iJT+S32ybgGUFXW{j>;D_xC1iBx&7WjF>z?-!oO4Dao7iU-n(@BoRU
z!SoH=xS}9lQ;`L-XF-G7QCmde#L)l6(^W@Bxqa>Fp}SjJsi9jM1QAdaRBA}22T(d@
zXrvV+6a<wJl#WqqXjDqN89?b6rTZK2y}$3QS!@0n);{MwXUDUjz0XS-tI37I;^xP=
zPCs`0481t9fT!x6-I49hu61Ss(Vp&9>IOX?st8w4*7-kGUiU(FxFv1J1Vp$q8{-I^
z%f0SR@YBj?YM?B4#TH`r`RGTww7)5a4+AVNZjODD`Q08-z);v1e)gND0k|2Q7a9<4
zk11_cAxWLra^US%cpCPonWzOl7qx-bbHgk_q&0#s#)*mO<{cy}DvDW({ac;G7!g2E
zeiX~9WSHKfkH4h0KeFT#ip3mXotQ7!|NgQ6+tn)P4{q?XHWOP(W?HJ#Ae$j>kA*mz
z{7(-or0gFk>Wm#;a|s?O>lhts^6NY|mE%O$*57~g&i6X}V>e>v(2kvGhUdfyBsZp?
zvYb40)37MNLOgobC!GLK8@!)7r8v4u(f>>sr428;sZABo)h6a@JH^p+Ni{)=+rb=e
z+&ZH`LH!T47J`KvX`QGdP{a$(fA#H;!HVH=d}T1_L$048e|2-{^XGSz%bFEoZRb|>
z;5wv#7h757Y~N%e$96`4Uz0R;nH<{^BWEF8_F*A&)W>JOG)(<t+hrlf6P&zsk@O76
z&DQIQcx|I3zti<HwAtM<C|-;t=G|-%s<1QCtHrnzJzg=xRT`TUy^vlwz(afp*(bHV
z6?3>Cb#7d@tkfUOE{4Vg$N}CQc2n2>Qb@@zm(Y=Z^Z%2}B&*x@WXaH~)+DHri+|EA
zaLz6d;+qaD;L+ATh$sH_$l|vERRw<np8M%uATig8AhzmDAi5I3W7J$K*vafpqJnSb
zmyY6_IGJa1$PHnOod>395|lIwKDg-jMn{_};R8D+W>)w*nM-x61Gs3kPcj5&O<_r~
z*1%IWGP=2S@yzv)AW_QS5tH4|fTvvW`0V_Ru~qKP7reMS1D25)-vlB;-=BFe8(7WF
zmTwEIsPwG&!IUWsQ7chvq?V9n-r_mR)C`;irsNk**(SC&o~UAfwG1<o1!{D~h+u{U
zmmMI}(NdEx;qHM!;s)9dm)R$hg!k;7Av{V`jt5iHAA%@%s9sag9j926M~R^6V#T7?
zl$Gs9|6LfbH}Xj#z|#}SNZ=8tuYZeCyo7Xt=fR;?p7Xz24{T0dF}%E|=G#>G2lCq+
zr1w@ZZz!GkQ<j%A?^e7+-$vTeT!k9&d|~l8uW5hzPtHt~d#dw@jKBpyqsWZ@{_|X%
zz>E{@Jth^$otji!enno6V<cccp@GPkBD_^<RxRX*(W5OqGn_*Mq%H@!@IBPu-0yqh
zh-GZ!vdclXPD;zCcV_<+y;UR)^)JP&;mXn7m?AWtWyN7j>uXBfeM{tF8?s{y=lHuh
z5IrWs>y3`|1C!5^6lrvk@UXK`?s@xs1V)FmlFb018?7Q<d^_z_53&DlXKc-F;)1)H
zfE4gD=rWKSWQuu!b#jTv0C87wkAUDt_($@C_}C}53v9?N_63GjMT+q}cTv>+Srs3$
z2~!?9AlW?7z|z<AB4{(@QRII@IXaZ=(agAR$3NGjM7m8#EUAOZ&5PutUBA`Uy<-yQ
z9s1pN8(F}<@L({6#D7xbYRtvc-OWc{p0QToRBALG;U@BgU3fy|-*fUd+4u;Y!*1aO
za8O*ZCC}0oydcv2uND8~p+CTkhkL2@DojFyzQSOFh8!fp@Wvf=hgaX%_irK(r|=yA
zJ8YV@O`;TLFO4{V`Z`bIIp^w5KH}xwe~{S>G_OC?h~;2**mr_YHhP`629s;fhbI{4
zp(IT}4P%hW*8hYIwJN!y#{sOZOJtTb@|C31_E=rl{Z|!nu|0F5KU>Hf$<LUaC?W^%
z6RNFp=2TC@&y@&IdnQOz1=L9$nnCog$_{@s_`hRl4b;erGsb*XKg54#!(YeyB8AFG
zEtpW01OV~-I*Qt*N|1LbVT~IQ=FK-WFZ)P(64?)M4cBi%OMJd<O`4ivc{S$SFPgbo
z+naxrYT{6YJS8f$Qbq2UhpC<mQhvrDZ%irbR=DqCc7>|86@48EBJPWz8*%cFXYRN+
zv)B#94b}*er4*<jgP{TZI(*qD<u({95n&Eeec8HS67`?zRlOm~-T8#YZ`0#y)dL8@
zFq9ff76nhqK=lgY3UJ5RD$3u2ZfXiVB22VvQXc0F{#}WzO*nR_LqwQd<_Pi*Tc#wk
zTiua?%=~ljT$(^i!@H%i|AY@c{VV)l>j8WO>eotiI$T8Gklh4s^dd*KE-0g(1~L-i
zi2l@G4o;1z(^|<sxbLw3g0f&EvWZmOjp7_os;oL`rVe6%>HoF*M#eDFNyNaXb0{}U
zN$O%`y@F*?<l;nLT6;<dOXvS1adH-U_@K;5;@#vh#V`vJ%kC?sJw{yH2wl(Y%x#hX
zHgt_l$rOD!j~hozfWto3@3bK;hQfCnf8@r~(WYX*j^gO#+pZ2ulbd(hQe<8yr8frq
zuxb0`;l<3WGw3qERBF8x`|q^l{+<jAGd=|7Pvg%t?yx0-i$wMtD>*pw^4>94Ap3~o
zv!rP12fW(q%2k#E`0!59V=gg0r|NOvw{w_0-(US#4)3j1L*U#!oFncHnj6Mf#)O64
z55{K*@bcawKgF@hZ#J2ro|R6zc4HK;*)B@r4spTMWbzR$BxiJ)%~T2DP5+6ZB#N;{
z7oo4?6mj}!;2h{B_#P)#oJh^k+G8#uOF-cxH<M~V4wT!hN)SWl_bX2nwd=H6c}dc7
zdFBg$?#GB){YBK;L=zmD1U2Hb3!wXKI@<5)s}Wo7cz66b>QFL8YRvJ#`_8P)Fg2Fp
z?53?ftM*HPfJvp4Fq9aX{|@h-^#mZ1z*u|k5x{*E!43tZD{%@4Ejq#du2JhtviIhi
z4j)P<r_X=oeSP(>Yw5XC@Ci7_fTzQ6-~dQY0)Iv9@~fprPL41)>0RP-Ql#C<37PDN
z2N5Nb8hvxN=#}NnC-`0Db?VVklZqK=(5YxdTsmjH@4pt43N8`@&NbuiAW>~T%s_eg
zKp6eRP{;2G^oX2g%hjtmXROhd1zH|3+a<y~bal3Z(|;<lAxP_6ab7|@$$DtgQ=i)4
zTXJc7`FKWx0gpSWq4-Wk!GED@^U+tBKP7?pY3uA$+y?G3{xOoFLUN+aZHaAzooptK
zTyO^vN;*T?QC-^)y?}ANMD-fs!_eK+0Yt6wR-e5CJDW|s0rOu8SEFJfeL^l+fL3JQ
z{A{wN<sfSU%GXIb)YtoD`R_S6gx!$C1zi^(d<aeen(=Qc)0-DAu;3jnDLV_kN_a_R
z0E`8KRRBk%C;?O;;dd1*X(Os(^pFi-zg6=W<(M2Z;>bNB8?;U)vDr=k)(sDR)(i=r
z;XMz{yRLkKc+5>{kpE{F&ho@3D<`WPuku4NBN<Urgdn^Hjt&n(YCIo*_8pQ-!qr0F
z+X~GLgHQkk7sLAi)IeLjJzf|uj{k!{?#4WmD<g73RM!?}u_rt6Nb759Z&=g3SSSUD
z`zm1yoV{x%%A{m-s8(yHwmoVkx3z!uh1WgB4ejSvaekBUwA2eYdWzw&RE!x|lKS*~
zpVLxsjLs6~)mXSKfzp_MgLm1!4m{&o!1|#@P&wl*B$m%MhKMf5YN+EO@-zFcR)zCp
z6QbD;mV4wXPEv-FKzA@#F=<gLr{aC`WJKQh?@$!xXUB80xV`!oS&QS(BkO_Y!kZyy
z(qCOer6=ZabCkouJly^wM@K@5AAfaY0XqVJxkm3;tO_jci|r$g-_GI_8;>FstB7+@
zDNwyNCl<euOqd5Grt*2n^1mAW#684|a=mq5ddO;kH^;CFILC<%tarw`&34^Kl8N)Y
zqCNv3T`MDf=t@alcj=6r4<b#TcR{M*rjW1FJ8Fq0H!RI`SdA1zz@2g-m2QYhTwY{=
z9@re+1R_%dsgWF*HB#BOX#ERNs=^9<_dweG0mS1QUj#J@0XDL;Trtk-VkmZksCax`
z?INX*3)=*9yW^k0)~9S$$`f2~{+Y$K67h=?Pl-1-@lW`^DLaXM<Nn)O4}A<HP~Mma
zN;7G#YYN*?E<A28B5Kn=TZej1Nf3vLLz<}#Jr^X^x}bJpAeEdB*?PbmsOF~C+biPH
z<ODfC5qDG8Zlb!cRwADA5tQYff?<trJnRa!9@%T)WxH6be?TQeV^qa1BZ>Up^1J{1
zKxl>=`cQ`$HLszV%N(?Bo-t(Do>udh9g~UUrl}{Ua2I;cC%bVwL27ZX@kCO_{v_<*
z%14-C%A_(wf|rk>F`kzo5uR`@Rus;p`B?Giy{8jHf64#9ZsY|~(V$NYXhLCz9-Wnb
zpmcRxk@8~+yf>1B67FB_vV7DYzEx#rO^hg1500nNLNmhK;98A}abit_!Ehb;dPld0
ziOdW@-YOnJ#GFpE|7x&zG2yvN8QnNiEO89#x8wwxjreg#0yh2qIhJcg*7-E(dH3JN
ziuu6}PepzjgM(Nn8qflp_t@v&hqFSL%@D?#8W1Pz&G7br<OO|&ctDsyztma9KX1WD
z_OH0~Bzv_)Fu}PGVIENH&h&z_7FZH1q!%OyYCxT*io*;=#@Ip46lbIpkh=?kGP8Zw
zx8kQAn|O)M%}#{6n6a_85cttUy6(<%#6)w-&)>vpFl)+~l^Nl6V5LuZ@0^bpYZHXE
z`4J|JspAjNAGXXWlWG!=)8hZ)IUKX=Mf!N3e*QXlLL0I_8<s=~{Lp&v7zs{Etx&6-
zJM#o4j|OdvwEB}^3!odEk?}>Z@9rEAhf8v1lBf()Z7`;qt@i*tT_51f-4!mLA!WuR
zZxPvJ#y=%!s7K^*-syuf{a36|BBo6sVp>kJ5AvF=fy|rxH^Z}A{_ctQszTP6hBO--
zRCm79aX6PuC82>l0E(h0TMO1of?0z?<G#P0?P``x&L`rH6|gD#axwhVBXBa9vF~F&
zwYX_LvkBYB!+Vxy9uk&cdxJ0m*q@Cn(-qdV`kF+fT$gSwqpj_rMm`R>Nkk*+$qU4y
zRd=|)@G#N{Xaw}+)t-Y{fIbir4()j(9nlch)-PDxGC<70(6;7rj1T$}&(=3j9sDkJ
zHyA98a~zOcmTx_9J}?U0jo5gDAwQD)6>7<I=!le|xiw)<H3JWZsF0lj6-wq-MzZ&x
z-JqMI!*4~D7LadqzIi!P*F<w<MDS;;Xrde^x@N`LsCPIKkH{TN!Z5}SDLSZTyGV*O
zLa)}+OhO7f60dr`{m1LvF!y0V@cIXHQo=P|!$U4R_OGnRmA;xzQGWH=%#5Ir5gk@P
zLv==RG_TvAN@~ffasdp2`_ZdLlS2;SM!+$FO5$$Zu>du;0GeY&de4)YxOP2x;O3VF
z%%}kNG6^EU)Q=3Aad#^R9cnBf3Dp=kgr1Ng2jrl^gTW12-r;y?WJRv~PwgVLf2St0
zyIfw<)46Sl{xOzmM?{9}=vJed0KuAmH#h$`U}rG0I}z&M3Qe}bbp{xDI(YaHwS-@Q
z=$T{5w_k#noCBg$DU-faB`GtFxBgbgrhM5>NgRzJZvNyvk+Y}%2oELo<D|}a8-Jg;
zv{9JF*O~<H(pnIrdGIs5srwV=yFF+1lfOR8`JH|EmM&ZWT;ffNNUHY>fF0L9%Z&+S
z1Ez3EE^+h-YA(p@@u*^d-F>O@rGIq|Ch>LYXX2qeC%U>WY0q6ui5Zs#<xgNscfs*|
z&QG?78#^OS6PbmA#C8o19wv_v_;|viJi<P&bn>PgLc!MB22Y2`z;)%ARIq3Y5HEuo
ze%wMo{fi!McrX5rEevl+<TSPM>HD#m-C$<gI^Ti49Y|ijBKs%!=C}y&r!=AmY(q{D
z4N>f$D=(<PuMuMpuXoC;3t-t=7xzLg-xVb$=1o;jw=?EbYh*LUMMi!j9a#oYpkl+3
zWM{iL{hyiQ8@b(*yP=xw<jqd}Di?XFihZ-UI9tX(^!2h2b~GP`Z~5Y5nJlZXUQ-mT
zdh<6Pvbw1m{yFkLxqP6{^(Mjo)f--SBz`4Es|54RIDA=?m-l(itNO+4%<EJ-A^E-u
zB1_1s;_uIHz=N)!t~lJ)`stVlxeq)3mO`vE(JCID2`zY;_Vx7Z`=9x;m!}&I3rMw0
zbto=6GM+4C*PY9Mt&QyoB|d8XqYC#vF=*W4&Xj{-K(Le?H_nw)(}@DMtA!}4T=7lZ
zW6_=iFlnuFryPEr>y9+VA7rw@;$my=&I#dcW-@a~8}y*EK?8-`j{@Y8Ziu%u57t}`
zPHy5~RwX^C{~J|CcCVEE-Znupp=eK?>Iy-J(BwA-We4t3;}6LxfV?s@tIgD?Ao`Uf
zlJUqbS6n%&74KlL!CUo4#*Dc@@i)?0_eC|^c+*_Kd(&$Qq>VwXucN;6mUhh6Ei8Bd
zk7>2JF|5qnA(jt4W6v0Q!@}RbJ5>A>8!Kb$t!Q`(|2YrK$^iI*$h~B@m+qi_a6cms
z`H39xLIKLNh3Y}o-v#o2k(vnQ@~2~oEUk7$zd*H2=Y*5LH*#C5EhDX4!pwv8VB9fi
zTAT}hf$6oq5J3QW6~#5kXB&2nz)Hl+!>ylnegX{SBK%m(tb4!WO8AqK{cJ6t|J?tD
zN6~Kwt*YTKB@C%OMv2Tp`4yxZJQ!%$q`6t|9@F*+7s_sD4)&7`K56qrpDShh@wi7f
zs46mn>NM8Pgimh}$)%rza+P%E;}`RY2KG%Z(gdjVGgZ$vHn0PxFTCVc9#SlmuJ{2&
zZH)cXUq20>Q?jhsW5qv5j?~kS*9%V$WqOqZ%)u?>b>`#KmqPe%TynNTw-A=UtYyhS
zPt<)Wn^=`48vVHtfs=<Bdo6CslcMg@;Lpj>!m|@ix7Z+#26hkq;&%Enpuw#01*7)x
zf$H@=5^V|KDHMB3jrx8Xv?I|A^8nZ(omzjo#9C4=v(&4R?bXm6Gi=HsELz>bb(oe>
z)fLYO3%@+gZC>vi#3Hn)H{WZJYCna`K@u=<yiZySeI>=0Q+p0#z++amvr+N)ST^-8
zAtzupKy%#p!o)>TRTwCgdef!IRh2>%_6Kv*YySx|kQ$H-jH$(QaD&>te&L##-Hai=
z;8$oyEP$}9{xN4vj91Jd`^`|^94-m}`~D2M&do$z6A}}2`}lp_=dTFtRI@6EERO<u
zbU^HSYbEzs>N#^s(HS#<szG+G@bf8Qk7jpuw0O)Q?=el}g{sWGm)wX590za@eo5ew
z{zU34X?Uu?F)nD;8BNKq3;GUBkQ~nq{`0kEZGth5<MCfOEPQ0&>J;Jp(Xd_Dyjs2h
z@@Gz0O_@4?UCynzQvj^;moO}>BJzd&6`|)R(5_4`+(~N${LR#l4PrS+ORI{t(Gkaq
z)tn(m?Z}-+6<)H);F!Jk?*p6$n_FjPEWe_sQ95l)*H8igvdM<)`8E2ZVOQ*h2Fbsb
zhZD*l+K9JaC$ogjL1~Uvf3|FZx_`Wh&<F3*{8TfS51Y~o;#O0GuuH%^VAr9S19)ib
zyz0`@Pc=Q-)H3`ZmZ0sDiWW3$k;XS-_s!;QQu<`54`WAJcz7Q^9Uy@CrRMVN-vrv5
zKvaKbOWG}SR1SCRXi8RMX=fF*xD{%Z4C#jof*<ks_K_{ujL;p(Bu?ttSc>88Unzw8
zRG2}}rf&TtJ75T|w`e_89uW_>m@nwevWc392PJ-IyD1hub=t}SJ$R5QSAD#@`JmmU
zXJFPZY$BpUDVVD*tyN@57z`C!bUAPuJ{lNI#^`K6{qpBtQz4fU@i*R~z;8r~BQ+_-
z4JM&3R_3$#0;hv>#?3Hs)B}zJXSVA9*9*Y*iF_OMI+6U^_#;%U>ta~u1>F%}1!YF7
zB3CAa1A4}%kSvutrE~EPvBXCZL@N$KT};a`J%acF)TT{DZ>8WwH^%b|UUTn0^Ng&7
zR;Oys=KP1SirF#3_Bm%PNzkA@;%?K2XiwguulF+#1POu!8U`+Mxt`5m?;`_Zz!{j&
z6hnUM3wE($;U)J1XX*b2P1-eocTxiA?&3FbOUN0AxlO%fsaFo`rO_$uemCe5G+A$v
zEU5caJ2Y)&K`K}eUlo^8yR=X3$W+(@sAksMVj*-dTu{P*^6jTKF+m;?uj=JOpPiA#
zs)TP$1c(v@H^01N)QE5bHJ)lMEZ`=QdW+3Pff`-6aHVh$N+MD1zOIYpBLor2=(ie9
z<(zlqyZ3-WlK#wEx=;qurv)5CW{_KR|0c;l0j{oS`R&ihJ@EDTjrW<D(y&uGf;i!}
zvQ=sG4t&~TLK*vN^`2$OTo6X&Ho89NRvFA1#W%wl7z#ae#SCa}8DlnHDNNw2+80A9
z7sh1V$U%+P^cp|w$ci+Q^O5~9-Eh@1jQ*o{#KzSpte;<Djy)K-s1kr`>@2y1Gg9DQ
zW?U$+r1Z)kIuj71MD3ra|7Gt}c}<{3ujz;%_w$~H^-$HdxI4}95z|TRdBbZhD}Q+c
zq&JxPj2ABxyBBk&E9J(wg!xXFd&KmK3^&bZm7p+{%i0JdOKyd_4-hHz)v=x#;fZlv
zPzz_d1hMHVi^z(n5n1s(-@8Ok2lBK<?@9Z4FeiMi)&vVW(?Mq7_HsCDQ2!ies+MLD
z++Vp3hn%)V@4P?;eG9d`Da5!<wcs*U`=qO1c5pacmPRQWb{XPi39y7~x1N$79pkbP
zJ}ib0hR<Z3{36y34;4No0_OtODmH>EiXu3Hbz$@`)NoC4l_1U1E9E8b<3yHF)Y}gb
z=CjnCYx30Eq~4D|XpThs15yve3hm&zvmV~`A^ytF3ti*?_%nTH;=wT<(Ge7hB#JbF
zx2%5~Q_@+V-lZHS^b9UBdLG2B8U}}kw59<ak>6+KF1!|Z3n}biN4%MO#4=^{K$ce>
z(R4;+Xo3?dpdRGcGl8bo;jCeR9bLjD9Gm3??yn`)nAnqp_>;rbk1dfh+n3s+EI*KU
zfji;H)S06+#9P0dhOC($h?c@*CvPH;(6`@!4*N{IO{J;_nnVtOhh{nGLH(c|QG#c5
zk1H|D7jr)Ar}}48X`K`6ApY<Lj{>zXbGt9RCbQq6_Wh<UBo3&C%5YGBX>_3nI5Dj3
z)j@l<lHx16GupXvO4G2grtbVFcvMA(`p>5o;MQ%JC%eBZj~OsnKGTM*e&jTpnT!15
z5~B~i)X2PO3~F94AKWFY(6a3!$-FQa-bmsi<wE+kcF2tc?HNH@k}aqKSLEF&w}U=|
z4E-t|cyzQ}XJWpbCDHb+GDpmmGxH=TPvJj1H{fa>Rcp|uQZdX?reSG~A`)oDtH%>s
z&u0Yvhdqmf5?2C+@9%^+g_0Ux=KZhmG4z!fnQsAKg7pMc>J=B3F0i-_K%U^*sO-na
z)D>f>wZ|g1J^T~f$1T1~c47}!dytm9XYm&O%)`?@o>zzSNU7EXSl|+<)f19z439=<
ztoQ%g0qwpFa`RI!&TQiCNL|Ald$-<gpewwr^svFgoUX$zWDxRN{!%7XMAl)0igUqe
zt5%ZSZT#loE^9?M*crRCLz9_{R0F$#EyfJh>oVBogjt`n@Yj!okTxROD@{^pAZ6Sf
zMidk=-*}oR1kHZ9nN`Q$&?6tmhmMIyplJ6vn23~A{OK_*q6kogKI9V)?oRiLO~-xO
zc{{H3ueC7UB(iRj;+Y%ZjK%feov0tB5`Y0bsALJFRuhsX<}G#$?ms|QH^7CieWJM_
z{Pflz)U7U2oM5J0X{!C5yhltE^B`8_Igf}Rt^Wq@QrS?X^p(vMnGO%giv>{kT+rsJ
z-dPMX31}3VV2be;o`5<@Ph{|HJ-`N(zFLP<j-AQD{M&CM1<%gpQ+!#EGO&2@e4bMI
zPRHGBN8~)@6_p^@W>WHX4Rvhji4R|bSNCAi_UEIFx1lJ7XF)c6bdJXO@p5L4gAM4j
zTdYq+BEG^)?mmmX0sgl<Gf6DZyib5CQyn^?aG^}SkFNYWr8x#{@)8V?>oA7Re_1l;
zJ4DvX6F%+g)jFfVeME$3cuBm$lmzZH%jrP=5ROj{-`d@(c&VkagR~esN<%TUxnAKT
z!TwPoh#@4@FWN#@PHihbAnU%^`fVx;jnVfqA!#z3HF&CpP;{9u@|J^WvY^Mt)j|q`
zV-$1P={hjA<_~V36Go&;CLd-!&)GyS1-h(%<JfV~O}O=pCU}C}uF0y-M`da9AljrU
zc?o0tV(uBV5O9t=n66KV9>?vu@Z9Ok#g*S80SP%#1UZ_}Z<b$mRk44l{a&o?I^iK=
z8JF<l3Ip{4m0_j=O>a7~JhDd)NlWzE<?xliSql;HK!_CD0BN1ET$Ng`K#=eA70;e-
zca;nFt*U2Q(e4^(W*${(e|*FtXu@-$S#2Ha&&P@ngZ0uO1|m4QAuJmkl)+^0!)M86
zfLC4fd`SqZemBdTNO{Y{DM5{uz8)hl%%Nwj%W6>eZlF0p2&x<eG}qcnM=ZU;y?a{A
zCy@+P4*#LKz;I(@ODcRgFk)VvCUb6ID!QR|@x@v+dF0`|yfDX#>EWFeGKRZV#xxUY
z8XqxV+VZ7@Ma&0vv>$$L+oQz6@a8m%;=)Uae#bxCKe&$y*;(IcI#iZUTGT%D)Ft*Z
z5r+ctIhPVgePyd!$e3l<=X*jGkDx%}rHTqtH&14TnqS*yQ$17&KGIyn%%fT!i+$?N
z52Ks%O!!*lB}G0Q7pPIVNk>v1xi=rN#w@d~IK;W=?v7X4BBHilYfyT_m3<UJuX3f2
z@&(zl9l|CmT)-qi&$~7Hq(Jha9kHXdEJMK1lR(EcebTyMc4i~Lrmhq;I#IXzN`OOx
z`^T`R1M{f^sSqsU-F~j=3q{(=cFl_hTmx<=-1|Ba4k!xP&e`I|ai?q!n~~uK;u8(0
z>3Q4#Ft0?K?dl}JQ-!hO1K?JpVEGe+-#B+4*2Xvt(mo%lNYD{h0{#hia$S%?s!SLl
zj3aWmIHqx*m&RqMZNC*Z9Y*<SIVchsE3|lg!SA_9YqvP?V%y-#U0hQ1dNt1orQJYV
zjRlXl3QCa>VCinX6y5}vdg10RTOr0GX3H}Jz7wQX4+FK=Vel1S-*;YyeX=!vp(tH}
zIae>9^NG67khWu?hYcN8G=+^inpnVWWwYoN`G1Cxs4VKfZwb;GNCNxlYUb<`6MK?;
z2~Ax_?U%rKo*ES_xz>LaW~v+7{7W;F6CpYfE?JMvwc5T|EmMV)fEw4Bfg!Cbpkqdp
ziAOv3bOC*7(TLlAALClZ91{mz8JDuZNs^uYpiy?8cXD>ROVb;|oC!R<PLe(k*?mgj
za*vVSG-hf`R~M-G92LVNy!zF85_dImlr~9id-R!X0CHV6%T+kn4O4^EeoOg?r1b0S
z8{_FMl>Tjr4O9^|KWNxvN@KXfR*K;SMR_|}6M|F)iPX!s{lr=4zxR@e<dI{IEN(in
zOM1PLsTVlGU4O3-Py~zt6YDUj!{;~S12ph;`MQsTK5(amKtDn~`3Z26AS_$m?c$J`
zTa~vU$?k>U@$SXJS_;t3&#mxR2eb2R!~|#UNk+j&GKf8m^MlQU@L3$0x$;pGO;B^P
z#{`uMK!;juZoBT&FQkKLg)|Fy&1UA9OxErqcYW2@*K6>-X+QI&TgzQZA>vOij`fC0
z&B=&;y1TA4Ym=y33nr{-8Kq@KJ+13w#+a5blJA)P-{A&e{l0#804Ypq1XghRZDC93
z1@8^3Mo)Xge;r6!KCzJX5>l7_YWV(2Q5OYt8zSB&TYVyck{4H|#arS%u@6JMlrfh;
zF3(@JRQC$kc--C|HTtXjo)`%Sb8fDoY>bOl$Q9UnZ5HbMb0!P>Ip>+Z!*Is)(EEO`
z#K#x2qaGjz<WO$XZEGo^b>F*Y{kejqj1G^PW~fA=FV%INhif^X5^Ez4*}Z)?qoxdt
zDcO3D_rr0gGOsrxZmzh0@E9Gf>^+?G(GPwlcP|&V=Z-BzQS<<K88^SeJjx0Yjuk;g
z*}cT<ao7)Z`GoH^m1;jwg8fig{SbMFSeq>q4|eC$CSD!(EQS=;)q0iw<4<}t-c_eR
z#zOqBEi3_X#%K}Da71#3EXq=X7&VCHs8hc<D-A4rQ21kOX`uBB)-=N#nambcbFAW6
z*K){!rl_zz&B1!rlTvnt`Z&11(C6DUVAH<2tlWWZi#PR((51hC6pTt$Y4LEi!-qlU
z!f-a^S3R|AK#g~AsBw~sTzN>UDuQ3ShHWySY@7Pt@o;LyL0sU91vdXnTb<vaOqr}y
z`0uRf`LGfjQ*2RGcur78!ee0tw{J6-MIMf*5NL^z=#WucIxgO$cN^9)0D3{`%aEDt
zktB&j5uziSXn8l#Iw@5&-WK=2=>BVp_`gh@)WbIc(`H#%rC_|0`#@{D-w`bWl1Y+4
zdY}f0#3W<hp&L+%m0WF(zs)#`b^MG%0=3);SPOD#e|p!2><lzFXgpjIwh7AQnpvK&
z7rG0dSFYV3aG!Y5>RJz04aZw5O*}-f;~GgCa^H?N{zf)H>wkB7{z?Q|Sh13sf)5lB
z-Jgq=3fLB>X-uNxPy1?UKD0R|n#1~*u6fOy-}7*#%RLlnErpl@>%O@++|#_}XfmgP
zX*P4Vdhxm7=6J5Dg{$>ct;n};>2J=q3tyR?HHfp!n7l-tRXQ)YzLwQ6{bGnTncdx|
zuE*|tG6<I!|HeK*BPe`@_EMq1a9)I0O!70^(dA}Nz-xxi$!;RiQY|E!0nhX2#bXX>
zsZBt0zhj^MHh3#oF6d%-SN)x!hoMXxui#ID|59o@zX25`*N?|4gjn6*_aej>fpid!
zq*=#-tnI+d;`N-l$=un=oCi+HE2qaYqgGb4_lBjF_s&i}%<sN^aLpd^SdAdaJ`H31
zbLK={%`XwHxC4&I1yDJC6z-{jYS2Lb`FQ6wfIQ_3yH|P@GZjZAKzgZvM$TDvYtFg4
zd=4dW<C@(evA@xrAP(}^WHT)~x-*Y{gMN(Fr$%$qULo|K&@6wHUld30#*8#;4_+rt
zcRql%2*<#bJ*}<mo^Rak%4=j{%l6sRJ#VT^G`ara^RakE;;gl?!RR*R6N0u=PD;i!
z?U4zL*9$A|zvd%*lz0_$Uyr227N|I}GgZ8JA1ouU9v9om8rx~7#1t`fCu1p@yXj<l
zKKIyQMK9__Zztc|NIo(CFDVX2pK%D2_Ng86xweX^NO-S)O(LCH{!edPuZa(sLbk^r
z)+VgAX-<^W_3`sg9~voP#xi#0(xiK1AADUz5lnkflYPlm9h?thBjl&@z5jM6^18ZB
z)nkR(ml;3gY_q9*A#?T9^YIF1;Bi~XoGA^ap8mPkC+uCV6*Z4{XHR5T=OdJ8Mgp<x
zO(WuJv4e>Uhs)1QJgx^df8!6(Pmy1`g8juBn*#`@-MfK<{zCg=cn5E`9@p2p3WKej
zcw^fIeq|<X{bIq?E7W^Ar$4*nR9a_OX&}<Rfic>$2R&CsCf!TQ3FIStAxNjZuWLwk
z0RPd6xo@cIpE!7jI=zqLu`QpC{_@a^@4ucq7<EcgSJp{Qx3)(hG}2Hs#nz)~&*+Sp
zV~DTC6Oh;N$>GnUKM_j5PAGh^H(=Wj*_c#jW#M$ef{T4HKKU+`!t9eloyvB7d?evK
ze?OX@1rnr<r&E7sV?(}cZS3f6!tdLCKmQ|}cM-4Lq5Im`ZUEq5nCZK3bK`+a<e=6^
z;Zcon+3YQuX%(MalmxgxLF0ZXOP34(UVuphdJZ}wg)cWb8|d%;okzZ5ke^Rs=QwCd
zrBje1D$iSKGiD}w@V)h_tmA!^{+Rn8-5e^Z;-YO+6*z7gK33)!*+fRRDo&B$Fbaln
zCI*cUnx`))X*|(W(HK6a73Ht5*$miiCs;ujCL()IH%W`>kkfUexAm9pe6y;vZfIoI
z#M&0Y7G(*alxUkHo1=y@gW~)!4ak1+v1-4n$~9+4{?#@7t(cO1M7Q8$_T87~LCpVJ
z3q)g;aZdmvPxI+*AqQN)nnTLC+Oz6ce*l-c+WTWQn#;=H1zR-fbZ+nH3U%mg*Jx<i
z?dG~}{FYCCy#|c$y;Cc#yQ&(UhWo<4`e1O6vN#apKQW=>pfc{%@UtgEJov5?1o^GC
z`mGla-Kkvo{mJtz-h_Ksk7?t-Yh>u{jMF;aU-ChOz5MmQW3fWr5X{RooXGF<jbDR9
z>Am}V)O`rmDQW$)PLJ*)_u)<+B=HV%i8%J>LaZ(KV_1pI-O-_Z_s9~=`&nNXq!ajj
zJ%r%|!R8bK2nNiM*C$D8maDOjVDC!Hf)p6fOl@^2?>3RBP&3AF%~$@T0e_XCb@e7_
zhYiV`;OR2LU`PG#+EYQcJ#~l2VM|{|)n7j7+&>mvM^uV893&-D86_V@twy@5_Vp&C
z0}!WS8l3R;yAO*tO33gWgOA#0Y}yjk_BZeM@7<UL{k*}$#GIk=mcmkmW+O%YHJ8<E
z4~-veR+eeg_d%7JTnzE=&YtyMa9<GAlykhgSPX932Om7xMP$lz*zKbN$U}@BMocCn
z1Caa9FS~_{uieyvck`Y_4tLt#vu!G@Rt!nukUX09Q2Xgi+wRj?N85IL5mkYet@u!Q
z8F#9=^RpzKg}vz1w*Ln5dEEBBpy&(1Xn;^=K_Rfj8g#Cb);J|yZTvqKpiwF$T0%L|
z1JG)dvr`ZL-XJ{)dA;IA=^$fyZc}w244pVbPy~{`CP}sS1npm2y%)f4J7#GG7X_RP
zW%`jE6#?N{AqE;!-`L(Wzc8-EO2G;WbVWTxV;1k+NGs}Cs9=mTr}Bt|>KMm&-VW`I
zjv_ZVYdp*iaH{ZjY}di(xIvb#wKO4Ke@$xhBtk?L3mECnS)j1z>My&>=&b$B@jZRt
zn7c}dV3Ti3yrQ5NOae34$f&=C-uMQMo)(bpmD{o5p*YQ~ZzvJ)i9|T(wi!`Ul%@6<
zT#<MB1Z2wmwM<K+23neIkoZKr56p_79FckK5v^Fx!XBd`(cVcJ#rFAs`T&j><*NyV
z+Q2WEGs(`X*}FX{KSH;m;=N1Q$k6Yf>~YGB6Rb{FIy;Pn6B^9@kG!J7Z+T;tpCS7D
z<9&Nl{E3%^8Bf6<EhkNy0-r8rbNSmk+j*r78jaR7r=G*;HC{iC^lzd~w5J@L8H9H%
zQWYm?{6-3s#<g+kkV->#tq=GU9TJGG<7CRRgLlCVW6$bK1{LcmFcY?8T?^`Oxy6Mv
zT44RVCVRY=)(r)ES=2AZt+H{A%{GbLY8PQ-s$3d0k<IE)pYB&1d>|&(zn8jqtXF^k
zb$8&1W`@?&1hJMIhmbiQ{pqD+)}+D9&n^N4=_w~cdhfSV`qq5$F&P@BtR3HZSg+FT
zeA&oTEi`2P9A^3g{_zyGzutA|ykk3)-r;y#;p)y5N>iEF08XF2K6S^I_nG~DV~aOE
zk-pjwO)_H_QITG~fh-M)7G|Plh9LH>=Ub9Gh~l^I-iq?K82Yb%wftbE>+8n7U|)7g
zR%I-;;wiOJEqC+zXH1u@EYWv$=a+E29>B=6j$C<vHejE39e(07xT!UI2^`Q`gkt3^
z2HgJ_?jt|0-lT0LQ=ol^K6}UBtp<1<SLr{I((OeWJ{bSt%agTMoCv_+19?{>yPwUe
z8RovFIhA9<pk?kKF)EAO+5rsp@rZ35>i!z$oDT7d%p1nu%p{$yp;pv7lwFT%q%;<|
zpJ?-E*$bzJBec|^8%FSzUfNGz4QQy&BEP%f7j?<P#G)FdTUfHG<Z_!%5U%qn(L;F|
zECbd|57=X^<FyH7;XF?`<M50`V<XeBq4W0<@c;DZ-9s7}%_M2#@y~t*H&JOO1}_mh
zxLqX~X@}8+Q*FOcMTINWOLNzlh_S#Z<aE_;7T}@E&z{H_H4pFr^RtohGl?AOD9Y&F
z*Q=q$Xn`uF6;AnmW_k75r(>UZDcpZvCt8;J(<&rUdC8<f4Z*rcE9d+Oa-wR#l$Tpy
ztsBV5`|q-7{h=B?7+xY1OM-fc>3(kf5FG}NVGiUu&$8y{+Ed`&Bnz*AVihz>?`Mb*
zx6Tq4CxcPoP~6le>Di*2`E?XhZiz$`w_a_CAdI_AJZlqj)B$#dx3#Wj|5CsA+?R>L
zR)mc48G_2f1Y%cN#l+~i|A7C_Flx=IH}TF(QVtPLVOGP^RrU>0O@ERty340GC|H1j
z+D_9XH?~}1CE5BRWkYWx+rR#L%@#YZ-e~r`m+^T#eJ1>7IWA%s`D<>h%a+bbFjXfJ
ztV*>vZrkt8x3|7xI~LOu6911ub1oU$oy4+G#5lx7yt^{?bHUC3rP{}$!`YkI%*a|B
zSQ4NM8A{&>SAm~F`9LRGMhNxT;mevY7f0EFoZc8BrVJE2W{PM32>9s!oOns3(o;+@
zZPpk@PG;rQIcFIQjOe4A@r&M3Yu^Zc$l8xFyEzcsnSR}>c{^RQxR~UDUZhIY(}$6$
zQU%NB=f_uJb(Q2>I!MHLPdCY0qWV3pQ{e^FTEV2Ao4Jtwa$vZ$DxR`>^%ynHmGau{
zBL_>COOY?g7qrh<d;;<3I$K#-cL|)Qmib5Z$$BacxwjV*!A)X<Hc@?Gyll6=n^N?!
zntR?_6SIE}`LSeRS`NAeyfnOi6Rou=MSes^m=;r#(pVLGqKEJE8{6$td1Fk3g^#;C
zNs%wCyfri&Iik}v;%oCsIu;!iI}BPyjN`fbks3ePI~Rpp>^^dP@lZUPDrdt@1KKZM
zS?z6}*-cmi1+JXN?sX7RX=eVDt;;PuTe3@-YMcIwj4p#U@a|};q^5!!cWTAc=MH7A
z!jz(w-#HPFL{aY<gSsQxl3@Ly717KFsxuw@b?T>{({P%9uo;C((yyA^q<h+MKOy+Q
z%{Ew6gV{UAVmjtW?A%T6td5MPil?87j@yf%Tz`CVcM{HV@i+>+dmhk7>mk`@?AOnC
zE%GGEG~W~{gFGn(8<lJ*__^^Q?_pu#Im$D4NuL5W%n`AQ895;xq@qBNX3IQwTlVRn
z<6@!qknZ(QHT#9{Zs%zhI+_wSZ<(nCApAh9ELgUYl2u8fSGhT8G8z8+_P1&xii1f0
z+B%PWD%_@E`n(}HwzC9O{P@zw6sb>J_x8s8n~q);^7ziR(9Q)1-&>SjMGCAWJ^T1i
z(x-HCZP*W7*Is-uT25D&;y?T1{1)XJNieA{ySDo9`Db;}`R4NtifKJa(Z?Z#(06{H
zJ~NiGG=3i#W%WzoceG9G3@7F*-WVn;H{#}MQiKU(OLHf_r<bMDZ<jrPAo?HW2cw-0
zxj`<*QT4BqPav-om&**N8{}q-ZTS#wT02bb!`(i?OG_%&!V7nS)V3Y7$2h;o+=;iT
z8||4jXuibVm)Q$i-XfioM>kD9qX&>u`s9XBaH4)i-)%Z%EiR8>gVf8l-n)FJ;CYqb
z6Ijc6)bhSB<B1!`DtC6XC33qSQ~$PGK1gPD+Pwvx4OW@k$`B#ZwBa4F`+des_}Hl}
zl{O>prjfdR+b|o=vAOeHm@SGi{;7^d%VI^C*U_oMeQKF?UW>XwCOB=I8HZ6akJ&!H
z98xR8=(s7b{s26pV6q-A4)Qc%%596N4$CsI<&BRiTz|XCR}*qe=U{)8L_<N8EGB9J
z^W4Fsi>x=TV?O(mJ?ATqADMiYU6x^lSv?H+O-^g{W><Cn&svOE;$Jjmi(JA@@PFl$
zt)wLL<TbbjJh)?$|D!bhj>Kv6Np<*ui~`pj6_?|Nr0?x0BsE?gDJJM$UrK!}f*!_5
z0O9sBALY>vn0b3%(YDAJX*s}P#v`Q)H51Yqs$iH3nB!Ic03SLGlmYg8zco#TrBh&?
z;5q{M1Nf|qrW>NVrDl_s>=JHuhM}i7E3?YtK>aXr@IhrrAAI}DRFOi4>(fBylXVxh
zoZD2vlnU_7*tnO+a0K;HOYFfk*c{2*?8m<!ItOg*1yJ#?8SQPFac=rxHYB;HUZGon
zt_Ws-{$<Le>jYN|K}pZ(LB8HBs(yLXN&J3L-W+rk6v*DoJ%Gxin(=H)&xdIHBtt_e
zm(LZsoyO`_4`)hysSVFzy^SUAkshP@xV}79_S=Uny&u0Jy2v#`SZm}oG1*}0x;$La
zw0MdN+gTrK|J<U?#`b3AleM7;$*)N!2381<8SE*UGH*ULvU4%;6<(Ysp8gk&gsd6E
z+K<kXUXt%yqQc*LtVH|ylxW>0X-RrQ!Nr9mepT;q$*&$TF|dZoTZLDKkqEpsbyQU$
zm^}Ynp}@fuo5S|F^3=lR#Q4cZpGAZ+>1+MG!^*dTO1E$=36DINL`)`Al5;cu!lap+
zOP8~w-<L0veTY$c&#$Dk^vyj3PSU%{+-jkRn#p>rY8?GvBfiHPgJiqRgYUKGXHB_$
zk^rA43CdaLXEdaV20ou3d*m`7(F-U+Z=hc_c%9Krscd?*m*Q+|_N_$PX5_DfKX%79
z0>|y2lr&(-B{gmD(k&OEKV;^`^yQzt!w5+y6p&76y)~ZuUoQZ&y$-GH%Ud{RzNAwT
zUC~kJZWYSlaQzz@{i-Y)GCAAUrDX@BqoG8MXD(^|-L?x@o~np*fT3I;2Ql|<)*H5z
zcTJvypKoguoah`FbtTnUckkL;O<l;c?4SGMZyB~_?l$}gD=)078hX&^|2qpO@Nff+
z2ot8pmMI_R$8b%BkAd&S05T?a;&kxmWM#(+?ln|tM!=OjgBCxQzq@z6KpgJoQN#8r
zr_OHoskS|9cy;A?>EM7oNs2mP#Jl(I{5#~u*})H;bSj1J2Rq*wGbQ50@M8YEV>EBb
z)*s*4w(D*La-F^7XQ6`t2M<n5Sfx9~m^JMxUpQ&pCaJvNsjst9Nb9JvP~={J{KXgv
zS!5e@Me{%A=5U|BDs9aP7a|e~SL?>}7<{M~CykVXhPVu*GS((*jMwV~sd}CBa!5Fg
z#F>-md|mSj>-<iptsAIb+&hs#O`F`{u<e{X*KZ=;G7v^3g;zm(kL48xA`a;+t;|zw
z$^V9$!K>X;A^zlUIkzmBRj<Y60v;+Wyg7L|@YL)2U@?rE8g3x#BB8f-GwqH~jjzP*
zRjI_>l)MjKWW(bQ!^wib*Q$TsYEZzvEce|#D#FAg*zTw<Tl>qP_;ihx*pI9_yolFM
zBvTtahviE4m=bWOw-Q#_on&-pa*Qp!{761zb<KmetCv`#<0vj(a&8#aBqMXee>|k(
zXG~S1^=IKbF@kd$Dmz`%y)g^7x5~$yyKysv#zAXy-)5W4thP!U&fl9R{B{`2L=G~e
zm3q&&6bzB8mI<BR@PkYdx3FrovU?DGV(ehr7^Lz=@A|o?F@USnP$)S6MIGGs0#^hM
z`?kbF_HA!%c($;xu*J4aN2wOq5k<}%%26pXKuow+{qppH<+y|$-%U&qaYLC}du!b{
zO6!2zorbo#KxylkS9<E3T+;g!Ewp8!h3Ci198~LinL<M4fEAtkoFJN2MO=HHAE=gk
zmAn0;p>d~oUdar9<?m$JqxrjceOPv+uul3Hr%YsVM4)^gOGRV>ICYd8;z(NTzDa9`
zd+2lYQoeTOjRsfN?_Y{^iz+!qIy;7l1aqf7>TqBr>EN1-?_@QZQo$M~(^18@ey#bU
zDVTNI$y2OGkqKEx-f8B#QUh-Ut_R#`2Fz~_fyw^?;;Tw@ts+mN>=hgnjDyGBrd%fa
zF{-s+S1LY76q?=+27Y?vYQJ=EG4JBt?b7PCZauM6A@aAp77gucXlEA6)moJt`a5wF
z)^#h?ByaDu@>iUDMlW4P(MrPYHy1%3kY@NM;3LJTO(ZQt7@GFUZ~%t_l>(W+xSeQ&
zEo23u4Cc0b8!DvDAq|>H@$HpIXuRltu9&Tm<5qU>`pLHuYHdA2DCrR&g7rRwSM%*m
z^jCx4r|=`2gi#&+$D82-Z@3yWCjO+0PKnq3x*SY~%yo5jc?uU80ZKyV)qelb<33;g
z`NEj%eeDHpSIe)f3G)Wjmn@>Q^UsKV4xTG&*QEtyUwvjO*#?wBRKeF;U^>+aMf}D(
z@eS(N+IrzD`h)@S%KhGvNSZ0Kg^MNp#6a>l`@Or46fkZ#ZL1Ik8qbX=Qk;RwCE)OC
zX4Yt!Khcb!Z{fW0FMg#6N8D%izml);tz2Q#V#XuPufy)m82frp`_?7=Tip+|Z{mLP
zGoa*PXXY#YhEI0O4r~vhcE9vuTQN5{N`{+h`}Si^rU%1VveWduahBZ6BXx(gM#f6x
z^!m%<vk9LkLx+wQgJO_eRou@4JS*h%;n@PA(7R3UDnX-f52&C1!vU}MDLkInb48^c
z-z)XI^Gr*|MRe6R|JW=^6X>F_3X572IhAPwK;GJRY*v1ZwU5O4NdCaK4;^g1TEIFw
zF!{A=7hF%w!f-vlqk}W-Js<s6b71NgU=zJN`;69~T0npR3pNb$V#f0&;FP)O``DO7
zZStG&WP~qb^>Gv9v#z6~&0nUCmAWUTM7iJ(pObysp`Qwa>*AZ>_UE?~E4yiW%5gzy
zV%1rTTs2ukwx!p#9UTjHPd3WuDewVvY292wZj`wBi-US4ys}Wvlc6iPD}TQ*<jmq{
zegjEeq!)lO-003P-!j%@^-%_sQ;kUp!}nsY`I|+Yd!AvIu9W7VB1`-*5kw4o=ZDs=
zNZv7t33s++e{HwI=Zltic`nBGEqO&~HEgX?r!M{t{<7Wr4bZhsjHC@MAj+gSJNOg|
zP46_h{gN&o4E)Po=jgKd@i2+7e<)R^i`LpF6Cvw1<gZA=*h6hO;Z{>-hy!~w21-KT
zTh&v56tDOFg1Anj`|4Djrtg)FrMe66=9q$S$s&sDb|Eh2a-f0if+`XNDjEH$5!;%;
zY-i{urHdzCD$~^6jpOyobRgj$zg$s(a(=L3diRx;MJ-$G)w4S`A0)1gc+t%4zu%6#
z;~FSdY%Kf5x_txhu#c+G>^o-YWdc94<Mn^Dy;#}F!jAsUS#$NP$$S>|Ms;R~ry8#S
zAs0E2;V}*93I|Bd%fk=vOzUozZX-E%?1CL{I*SmT0?R>SV&{THlr@^(?7b$GV^!tG
zJtk%YKY*0AYD2muK_^Wtp1+>hhN`C;WBgQ?W2S`PCYH2Ai~(aSm6zdvrd-RnO43RI
zxzruAG;B+|f6Vdxc`;DyrigR)Git^741@N~&w1Ox+82{%^3y%}hUe2lVxN9sjR6hp
z^V9h6)sAe-yN6iTcRQJqr?VWMjuh93z1{_aZP-3%nJ#v3)?z<2<8n-WHsqe(goEY*
z;8SAH=CstrifvuGk?Pq<_83VuL2}JK;sj}9!W}yqs{JNO?m%+k#4zN`)P378`MZ#P
zqsKNTaQxa`tBP$GdP8RNQK);wp;Y0O4_C_iBC0ZtYN^*>9AL50k#cW!BWA^`o@#`|
z$yF;D$jD5)BQ`YNM99cIE*`94GaYkbDYK1;zRhMfy>u{0NQ!2!IcKN&ZA}x%MVWpp
zQzA+wu2bh1{vl8yR-7t`@ia^2+3<m@PH9Mli$|Em>us@*;bE41Fng$t(90>`&FfZf
zQMTi;J+v7GVyqo@ns#0l+|(-Ei(E3NCZm8r`eMq=prRC-*V|V&$JDn<O^%-*w^Tl{
z;X7E@&x?+>K7|a@;~GeogGp2#@dah*QCj~kcSN4;DkQ_HXOtb4hS^<j+dnUU$H)N>
z{4_RGjC$EXd{^UseT_8ZFB|G>K&53Gn<mV&U*$gLZ{aouf?VB?uVmPt-ECM*4HVbC
zaYm{8#46^qS!>9*M-EJIWpb6hEyW$sLEB>?wKnZ3-3R&*wgE&h^~4k1DJcWd*-sH(
z3Du7FLQ7i-mSy+yPe{ww9`{n8y9L0BN%%daLf62N0UkE>(1AkX&sD<p1j(0WZH;T3
z=L*=)mto)SFQc45=sW8ligTKGT7D@|;b>LW(#G7D1HL_<#4>$T1Ny?kz-dqRAlFo=
zPFaORVc8Pk5DH!VJ^UMzYouSpChFE$L%!TN{*4czym2Tom2fO+8KHmeN$~?2cfLlF
zPa7t2VmX6KwB1q3`kw6GA0M;d8`F3bx{5^^6%=0&xicJnJ}Aj1B3D!^;I67LR=uJ0
z#4zwOSC#k=w>S8X)TVB+`wjX%Pm^^(8PnFUc-Cy>s@fb`0yU(L9`;J}54`NFqgV%;
zP3(WpEaz1?!gq@Z8WyWx?d;|rABZgRxixKOt9GV)dhjr+;~X_D*S&go`pJUYj9f66
zW;e{8b3RnAYSnb@?zG!UuS|3Q2}Kx9dx)=0Grm>3Fy_iyNTC{j@WDaW4jiHJ#^Mi<
zf(7Gw^E#UJWac?F67cL?{5tx_l}ZJ3hF%d&q168|^%Ou+MqBUFNC`-ng3{fMC?TCn
zw-QoIH!LDuqM#rRQqr|FEFd7=T?;GSy|Bc;=zDMe8DNH)?|$DseNWtTSh+*q{*L<a
zDcmI=2QG|MvAaQ=DjKib;;4wkF;c)lt5lzV)3t74tBc`kqt*MoSbx`V-I-%ocGpkS
zN#0@`Y)HyiB3+pv$@JV2JMlv%;B!`Y@Di%p`{ym*w%8%LU8xpk-FxzT*AZwA#52t2
z4S0tyrI4%nJyn(q7)#Mw>UvE#kiVqd-t-Ak|9q7@8N<dI=!Y(Y(K;V$h2A#BVap)L
zOAV(<jb3+=vF^L$g!Lr<9vP2lRSdu)jr6An>HNBNo<BAtMtWj-{<_vD5C}^YaV`t2
zk_ssG&B<)DD%%Q`GaDZop)B1nP_2TH4<NnuMTRDMeiuL`D3}g2VznHsAKm~n9Ouoa
zk(kOwe4awC?BJcootjaSZuz}~n2RO91H9IQ_^sw=#_prVe$97*dz(_{l)e+gL8j@|
zN2dfL%^sUM^7bJze@3zC1g~3XtBW&-CvNwfWGI8~ZWv<eg?`2$56W-z>2&&$2h;SI
zxeQ#5(g}x)4A-zdrtY{>ea~qV>`e3m*YjDP{j;rtSf;k)q;w7GyX$Rk7AC|==3Ntf
zIPi^>YiHQknx_K3`Yx3^#@ZwdB=L288WdPKU0qI*Q(3jvBUv+tqq!<4mn|&#`cWqn
z!i+p`)Ez^Fk2FoZTSRjlXGpjdiUT+RWW)jC!v&5=jEbbvdG;C^<F=`?J2ZrkJzg%u
zcWe@6Dn2tdhm_+_ddipWHxT&8mbF?4;}62Uaap6hJ`a%ep;q5$duM#yFuKC;Db}@|
z+Hy$^iPnQALyk4%+)==ucZO%Jf}P_Ou;&C+b51whDRfqEh>V-+I}4zl51pcZmlKn8
z98mhfu{4RRbH^f7q@pr{#B4n13+waQ9x6w9JGXt9i6#b-RN|@wXx3}FCmkL~Gq^j8
z+&49Gyp_36&51ut?vv7Om8g>>BO`00m-2Ogxxs~GuEj@!3aeY&KfWw<6nrG+`1#|O
zrJxP?Me0Behv1G3`$EJhl#P=3ggVA%M<|(f;CV4C5Ynmt)E^*ey%XYMhPe<!Oc>33
zi5Zv~UMU2SX_pJyw;aBE6$T+Pcd`un7%ADpK>CT7629U0VBPv66u;+=R3H^;(j*nE
z3xyLjG~=jfm=$MiZUD{c*S~l3D(y;l`CCWv<{-A9FU%vQ)`bV~kMwv2<~}emZOq(g
ztzLtlWWMO>ff^)pdfUw85uSwaSY?Fiew+&;uwqT;s7rWo(IiQ<*BGk(Q`bIrN}Ru@
zwZ2|-c47j<v0Qe_wv-3upHKU!B#V0(egFPB@vAr-tm7KlY5*yTTk998J{bzB|MS^p
zArQ$wRboedfvOT3rk3yo{o(W57fal$<FV@a_ynG)tqAmo(=;7@$!zZLOCpeQusfPX
zE#Yo*SP;#dhy;)_>pqO<IA3tv6kQgPDQV*07Z{@Klt$vOv}4Oy_kLCr6o#ZEXc0O{
zIp`CUvJk#o{gth&`wKU4^ZUhM;<_T})Kk%Mu+=>1z1dHUW#{Fo5y&uzYNT~I%jA8K
zSNC+F*{RRiyt}aUG8S9d@bvAR<$PXdTN7Nx<jX0f{Sq>p@BU-T_pP^o%2N0_ynoM)
z5$6TBZ4G2gPS9>=rOn20N5`Xm*#aTTve%?rKu2>c4Sbb<6Hs?!iZg{y+jII(Ib5Gp
z63eZ5>cMipGT)B1b?AY_xiO(3((y_;o$1U_dz#t5bk4NNp{%^cl>OQeg-cEoLv&ER
z_VyvC`cqVX=m%v{;?=usY`&41dKb8vk{WQ=t9i&IvgmdzJ_|vuoJl(VbF|ZJkHq=-
zNHO=cu0p_<?0uf~Nb2zMM%fJGDMmk^FUkn>dG`L&d$Hq%E@Fu>VLv`M*!lE|TG<H$
z?O-MOahGbs5DnjG3lXrbN+lTs<Q@jk?22etVLX=#8y#_dr(#^}e=!b@galv~)~GyM
zdFl`jT;77E>AjovYJ0kz;6MaW;R~cC<<k%#RI=BJJ?iro(g-kBW=|_*S`nW2Tx5Lc
znWUYkg-lIN4Y6Mg_HqnN=C#0ymu`&Gka4t}{HXw0ZY}9N&nPgcD~nvW&Wwr@eHq@Z
zr93*5{3lN0YqrpC%LVAYJ!uS$Ui-;#`3iD5C|XBjkskb3`-|$8=cqrzLaO+Ukfy1V
z>2a#FlLOr_9#6@$lnD$=d+>q1^yQC)RA<wU8at+j-KsdrrrcS_x(8)VPCO*InIcOw
zzfljb4T^|BqGBUI4zG66=r?<#lQQF5jQwz&@tAHG6nZx6F>PCE`0!Xh@u9=^e3aa}
z>~p^riJy+lD>5_R0#&bkIsy=_%Y#Sqct=`9;^Opv>qntTRp-<#ppw4+fxrK(F={pn
zQF=Vj2{P+QvO4*KTVHiK!)9qXYbdeRvG`@Q7`Hbo>7?*O(h$%5;pfTt2h*jF9XCJD
zk=fH(hCSa&I6_>0(4T(X885ea)LvVeP-sxYC0I1fi$UC}{!q-}LS7%4pZN^F!B$Im
zEn_S9R&9QmzjP-Xyft-|r(!R9&`fc;cp$fYpY8g%1n#*~v~+k~s!8hKMMOpz$j&e&
zo_H%|n2zp`;JjE9urTE2#Oy}X;bYuiNv2vlgZd@2od=<r64F%@TD9xr`V*7Z*W%RE
zAq1EUdG+2{))a-<@yz9)@K%s2;7Frlr=%{|0Ol-S9quUc7}0CT7`k@v7>_PV)u$j4
zNA~%OXJxN7PEWX*`4+$Ny(z~wcW=7j>)1aC7J0E3kEPyKkLEvgeg`~cW$w7jEo=L6
z`%;6t*fHEkxjJ`m!)kyu+TW&j{*`h)U1GTB;ws9gmNu}z;RW4vgyPL#hNroYDM?r{
ze$6zg2dyNQWwbRm`r4Fwyn!!OWcNxP{jw>R)F7bZ%h{|A#ba3{7Fc;%`t*yE$6oE-
zY|zmvfzEsTR2D>Qlvvy`z*uiGj!NfzY<)0tB{N{k6(ldeo8H*?r_4|X-%v={SHf1!
zj&r?)huw85?;`UR;w1@gkgif>({Al_oJ3pYsGGXvQA)9h!z)@sP2E5KjVD8E@zRG-
z;vn2OvC|Qj_36oHM67HsOPLa0%g%Hj6NM%Gk)GYv!)0ZNvvNJ!<CSoaa1miFatgy|
zB)$~~$d{7wW2=@nlaVZOjayC2>GeNqCI)-H6^}%NOuTqX&klfz+RG=B2P-e)m3}kC
z#%Ac~eRCIfcJkcWkt(RvY9b&QRClXJ{YUD=za<(eH|FRxrOueWxNbdsCb?|qbZ)%t
zmG<>3`Sb-HOTwY?^0YeRN>l5BXzM{k?~jA`d!qRh>hI^H?dVhor{fObwz2k*0FfE2
z-Nb-3MBq;@+j)han(k4<c{}7f<?=N5L)A4eH5y|#^*wNM&N;qghxw7t9nBAu1L4ss
z;sbfzbW*KyA=YIV)efP&nDR31K0Rflc#}1WIJm)q^|A{sL(PF`Fm^edW6j=86;x6r
z;^<GH%#kPA!*|0*wyQIDnp+DOZPkuD@Db0ibu}_H?320taim&$W}f#*ry%b7us}u%
zHnCft_ZX)GD$nK-uf6>o#<YB)!FKA6MSXU5Hi=E|ZJvE?T}K(t-%>*>h1V4d^~_p+
zDG~ojOS(L?v6uA>JarYVak3HqKx)cV9al31SNl3sGP4QC>Sg6aCLFvM@r*JgC%<r6
z(s+kF7W1G2_t60VtJ_Zi|8W#MmLFUa4~miK<{3<DJU@1-pNgt{y$1D2{%A!8J<p;D
zF$|4tT*4xK(<Zf9*DgkS?WRWVB7-|*KC%Jk?tZIO0^A@x{0w6T2RskL^+vZgwY_S#
zd-Ujz{>!g-#P!v%zSq{vJXo?fMp<FOWgiV>_EPM%&wNIf0Uj8RYRteJ`d`Cg9LE+k
zjHisKas*#q>pATIX51|lC#+b#M}oZ^J``wEL>b$<KiPi~jmJk}-1O8Kw3}lEoAp@B
zpQ=^ES!*id|0%6s!-ZSAqwgN@DTY13?9<1egJQd$ni{qe%BrMSkCn6|J0wTw3*)A~
zj3Qq_oQpq?Zj5Ai;g)_;bu5@}@?5+aXmlPv@OyXxtyW3ERw5#yPxKvGmCeQOl%h=e
zC=jqYNN>@`7OpYfWoi9p%*2cCcp8r<&D}6t@fj)>Oi@@?7WjtE<Ef@p;5CAKgPa({
zB3cW7A>_z;kxpP<GBX0o;h^<&Rx^W@hvzP<sHliA+4cIU$N2^UkFSe#I19LYpZ6#Z
z&bh$P^!<!>pn+lnGb=7M$0}>vL$e<$Lnk1WgYV8&Sob`D%(_gdXK0c56s@`}Gngt9
zXqU6I8xOq{u0TH|A3&(QUp59?$%f~%8rM;;FQFNS^uD6+E71=^m3|43-z{IZ5TXJ*
zF4TqaLHjr6`CxpkuwZ%&2eh-+h^8CdQW!QjzSnY4TkG42LQ6@FYHPKV$B16Yh(p)V
z^Ac74QGwauO{$2Lt$A6ckDFUI4>`xX1}nfRfrNA<x}A=-c<h`R;>_jmd^W|ODybRc
ze12<Z#DMUEsBcuwi`S^z(u~X7&mRig?TznrP&+izrw+ENQakZX^)$v#u|4^W-|;rF
zzDV)}z};Lbfb%`rmMTp#bUQ>^ATqUek#H)2$P#k;VuyY9&8Dia=Bg|w?jZeyA8%jC
zB)u*cgJkyf;g-RS->>6i%5XZ!;1wFttG~62Pt0}+nyKb)@h&O6FfF3Tb<oN?5K+64
zy^Px<Zyw|81{)W2E=Oqbw5Gy+T&>$bU@qOaXqPHI)3B_Z881k4?TaLmxjyXM8ZY=J
zEFyCE+&+NvaI}+1CXMG{g){k#Ci#Rxa~aS=!(6>mnbn<K_xtW)TIj<zx>l<$lT!2j
zca%J7nIXuHO}B$<Ma1S?kY{H^^ArEnSfjif^UR~Cx^xe=U%eW@C=2(&275J=J$^$y
z`dE*hj?x{lNs5ZWk^0aoAhT|P+k6o%n7y5QJA3i0g}Tr2*^OB}vxgKsg$-7CBewD7
zhMvO)9*t5x^YvtQQozmG`tS~vp}K0V`-8;^8PFHn(1(*gnC3QgLI&?iT?pgQ6E=Pj
zIX<ZODSZWhW^4S%HFrq7Qw3cO?zwzq=GOcca?`vi*X?0t`qs>?g5s*RJ`_Lt+ZOUe
z#86z0;JEzoDP(IW_;=BZjfkkt7=uv(r=9d4#NsNBZ*8KnUrI4~I~~HX%5N_6A3s71
z;GTN$7UjuBvqk((FyAEj!c5KIWMebpTxPLgEambl{LUTQ?nFCy2~~o=dCsl%M9->Y
z>;d;7+9L{zyXMNuBRu6IyVips|1l+&(TRy|JJSv1tsulZajc{ZD$mS5%|PVOpigl1
z>{X!1yZMK_e)yvO!E3yKOzTBoVvPw%C10o<5~7*Bbs*;^Ao-0d?Fznny!V)(>m<vL
zM>D)VO#oWWys&MTg{5n9VYah7niYq>Av$7Iw_L6leD^d_26IOwg>APCFYk_je8!pP
zU4A8n2Vag(kE#hXusYWkHACs(*PK(Gx?+4Sne2Gi07%Z}ZB1cU=hL6=d%lwXj;{jf
zKIV#d4x4va+KzA=xd^a75G>R%8-D6!O@le-d{$XgI9QQPRm&qOBxUkL_sM8A6Q54#
zT=>PMr&J+PbgEO>)#DC<<nD}`(R8OVob-^=5rds}deei<jwMoEa$mp)zyMEJeoIKH
z-T0XE#(h{p_TiPFbLG37w}uc+nGb+JX0RLTqJfZ9aFAscX1<$<0!)e;VMTbu)hUM?
zzClV6gNaA(os^W+!)@A(pe;RnmaH0643?>>sTuHDjb!0}_j&<sKp$95nneOFfGv)j
zE@0NLTdAJ6bJ||wERd}q`#oVo8bk+ojrJIu;#E5XUt?~Q7&TB@4`t0CtXx~#HquW_
zmx8I^U<g$ZpE7IC2m1j9O+I}`!K6~L|LJ?{{<!pvr1FBUJEytlqu7)!+F5n0_^8c+
znnmYBCPs;IjQ+%WF>jFnFQ=y0y9bR?Z^!Pu&$h$r=AyFbe7qDQQ|TfzR@in|_L8w9
z-_A!2L5p>sWzVQwdVKZMOiL_ON0m{%?B9@0LjMIPL@9{Z+1U5)%in@tmOnbM#kj<J
zKW>HkGd>NjRXa!Y%t?5!8texBkjdQM+>vmjmj;C#=|hR8Q~or*{0Ztl)8QL`Q%0fC
z7O^nChr=I=%|aUD!M7h~&z+fAf~CcXCy2A)j!bVn&@0e%-R{UF(6cL9NJv9N#~o0A
zZzRTd1mxX+zCDkO6!z9crLl+m#x;1PD3Mu8Y-i!E-`<v1ji96I3Z7@TeY_cN$zd$>
zTJ!(~-4N;iRca{e5?ns=4zV5R=OZVeBbJM!PqWHw1C({?3mGTD8?XSr5yaxJnT#{?
zDCdd0A`_>`RVa=m%meuZ4^rnm<GQ_<-MwfhHO<uKZJh{y;+*Qo5d5arES43iB@;0!
zX!Kg$nKiJ?iEEZXml*<C=75;bQGXxj2uSg1Mcd?8saP_icr3f1FeW(T5#nGUm7Xxs
z{ev=d|3PU>n*W35f|=uKyE82`UEcH{)wlpBG*9eXOhGgeD^-QiSMD7ORpbd2MtCAA
zRU)YL6m<UdwdQ=t?ZXMetTy};(@>6Y?#{H|oUpiq8)Pu0iEcM!V|kHtGgJ-)&1l=1
zns+3+!nHEr?g@ym8%B%K3;pusvSHZqweHBue>U;q6B!CeUbXM^KEF-+GqXWEAlN|x
z-q}6oKNMzWvSbFjffbOA#e2^p+trv>8Ydgl%S$ld@A=w&&CF{ch05UB0s}&nAo;Dh
zw;r089)-JQ&&w?ogft0~yr8g1m<DFR)4~Vy%viKeUyrQ|eTmZwEJoT^R^`@p?o$yR
z&!H0OiKTBAGyDkYOn;C5Z&P%rO-)<*dq>;ubZslvaMiAbi=AK6%^{KW@4v-SW}!Kc
zDvqRKSZew|>h2W9e#4^E+t<vQ<G&yCa&XdmyPy@j?3QN}6KtyczrFyPXJY0utWEe#
za~rSnh??!b_FZZQ0uFs(I9UV2?D;}-brAZWfoKAmeJ#%Sx?wX~a<e0<=*Pg>bUck7
zU&$vX)P;(F)=~l$SZ>8h!&SvF-TAR64KYr%$`tu>^@P#AZ*7p*i+GbQD?VJ}Zo=o!
zHV>8o-bWm#S5V`oeVZeLpHf5<>RH9v7Qsb2)IXho0V0KPi=lpAj_G0fh`y(XQ3mT2
zFUQ-n@-6AnFml`*BAxEzpC5z!`dWe$z#&Q{mrI|X993e{C;pX66bcPKX#`)0PzGOk
z!rZ_%JL62=bg(x~xAU~fl7S;c@bB_qB`9TK3;FsoNjgZ4qfnfHni(J>pQ&t@3=ei~
z-})8ewWR+l!=5Cf%VwU{sDGfA*N?vNAmlr)Ob|A=(emK*H1L~<6+JuWhdzEv_xecK
zJAC6KLgSP>?)#Krwg!wr@x7rs>H5khZYWLsf44RJ8MQ6kn6-{zO5(j8XjAshgBkLA
zJW+goG|9}K+t8BaO0=KrRucocSw1p_zVzNy&4!w5S<KLdB4!}9hNr)D5{B^zo&Q&M
zE7&0a3tq2Ivi|wHhAXOMH`c=3>=o*f>KO2Xj;=7^j#uSfi4F3eI3Jf{-e`K{+yqgZ
zqZiiUi9h{EFWHAx%$aD;ByhJz41t>fT;?bdMCBo_^)^E?hHVe&-Z00hr~pMrnp##X
zK@32hUxlU)kKy#CrmJGl#u%<<7oFlE;T6f|;`25lf}nu~^_xehOIhckJ}hYQZ;?^1
zx%>_9u89AB{&#6pNHv`;h1&sy*z#{3=sicjV0e;=#shs|jtx_X;m@&$1=l0JV3MlZ
z!rA5nh8RhAVPh}b#U4@;G-Bw+9{rxwNO@|TeoO<!EJr6Yx)DBfd{wrsubOT^ls1|7
z?aALameFGR^1{GQz$vKL8>k;9{n!5?{*!Ysg*iGe9c7eKKBRbWg9*k38>inSHRqUL
zj&r|l+~3aTJLO|f1>5Y7sabPvHV+QeH3kL#MV0SEOn;#6g1%6p8g#z9(bg`zhxtD;
z`GWlPBb25B*L#RtN{I?2ViJA*C|K{WJOukRy|B~+8IMR;;L=vw{73nIl$O(Y&}@W;
z{iSdZ5M#3-02ORHa7GObAZoh7uW(Tz(){~i_QmHk{C)GCwp5JQc-u0e^hy7Nq&g3C
zsgy5g*YNqqihqy!uf=%q4WCvg*K=CYE(oequk}SHs+#qmeFEWcYC|z=soc?j72`><
z{*UlIy(bO%=sgO%G=$BO#GcdURh}`uFEh<5*FxWtJBa`(0F%%rN)_zC3qAsexFpQ2
z#l^r_wZ!^Z-$W=pjsLwKRc9QE($?WXqR&-wI43w2UbcRmhgh0v;nG0U=$V2shz%N3
zaJ1X5&Oe|S9;RaaL`y^$#|=zJ9H0uK{!(q3DHH7=1#)d<c%u)~jJey(fO?{;D{*4p
zz2J7R@4wPC>G<koIG+TOWa*Lqn{a=41@wLJ5OKg9Bagn?_Fu~p5QEx_;+*Si!vI()
z(ga2aBaL~71~m{nr+TV}r?`Xl!bv{N>b$>F;~!YkLu$F;004Fk+Is*4?R{bLzg@=P
zCtLN5@{y2$_OJ2b+tO8Q?I<-H#?}AQ;|{WBYUfy2x7J9De1u|dltP66iib+#>t*?C
z)@JE-Ceb{Q;{W#|R7s<PH0ILdC}Dqf>|_jYXwb_uB_pRVR+$<zuHQ5lGaW7k%s-j%
zU<O)DGyHE?twRZv!PCG!s$jjyyR!dK{Z#f|x7zfVzVK+WY6fKjuQdZ6V@<EmY%Dwa
zC=~AVp{fFljOa8S`@iho&WfG0{iXj%c!Li{;SHFidT%1cN%q?7zYuDm)R0I-Obe^7
zR}$A<@|18y$)J$-TPjrj2jx!{01};HZtsXPK`gj3+MDPfvVbbZQs`jp#-Xz4|C#E5
zPbh?Y%^oYjgv|MvQ@(5T2|syUq3g}wBP~>c<1JJgNXAQ^44@4;x}w9E{B9NWkKh66
zy;<le5Z}u>hf($8i8B8WT}qts8-_rCOauYwdEqUms`WZ=&&;ulFChVE?Z5Ks576re
zwo43&>1uhO6&7BrJm2bwQ~OIcl%CuFG>l^kUPfaA!@;DyN)zOAHAZ--`)0r0?*7AS
z3WkK(LX=;OOK0Z<Y?UhhNpVFNE1Ds=?GdU59ZU}EdO?&Uf_l*sm;g$eUUTV@aV3uC
zO?7zeF8vP^fiW^viM2K${}?IstY1NO;bKuID#}WagvM5#31ac|A77NCzV?E<5S_cR
zno(<lUviyA1@M`xH@_b4=zUXWKW3vv@i_?!Nv~;$hg_y%p}F`fe4(-Z?NM`j7JaA@
zV<<yWPhmy+SEYS;Tmv8CFO(X=X`Vwz-TfKxZEhUN-HBJVX>5x7l}y>iBqa1wD$N_e
zr(9l0)#}Q|CF+gj&`oV9eF2JfM(RZW7@csCD7B<+2*tP?raj5X$LJZIb4itYU1N6;
z?PN5b=3oFh%_!axmobVb?Ti4?t*mD=VB2=cxvBSdUScu25+HdmA+|GPg1|K>0n`<y
z22;%{0bBjE`kSE+;*VIdP4Fksl?FnN-+_GGWW%S3#G<xBgg;5nJPXWX_5p`9<;J%q
zb<=ERUz{Ehz8Z1g6jWcv)C{FBzu%(B%z@EKos*ps?T^~FczEHSEK5!9v|aNsZTOE5
zbcxo>$2mD6g!Q)jZ$jyvBV?2B4syPhuNB3MrbqX_==m+Qn|taJ?1cdmJp8e^MB@!O
z$z3y5trBUl_?se?eXfS(xJUI0AnZCpe23~h&N{9V?Q)?b+Qe~c&agCH@n|9b(GWJZ
zb7aWRao(w5sREa)p-}qj`<)@Ff>w6h*;mv~HQ}||9vKHM;knad%9E%cwh2QsmT!$^
z)wAP6qOWzEr<csi*m+LtxdOAXALHDl?Bg`IVcwd5Q#~^=aD4)l#H7V@z%+hPQiUAC
zHtl@s-t>7$%IvTDczDHj5-m$-Nm_E5MYaj0etzwBqRO_kuSC+sO8Vp`A^JV(lTwgi
z;Tg;y)=o$rw4jwHUh};3KH7bS^GrU^N@{PH(k;y}w5`c?;)2W<xXJS9N*ddvGB=G_
z`qr?tSxt$jGS_H5hU>JxNmdj$1#Jju+JSM>g6W?Q@txA0r-y->=sCUQ)7oh3X%XL~
zHr~TTpsndKT|jQAKBXX<Uih3N_QC_sYUC}tKN00vuf0bw%2)H`EC<*mi0M~$#H}18
z)9Tkk-Jp7#Ghwy(xhXB?@dnt}^rFA^4+y3!n##FIO{kcl=gAipb8(J&jzN?GkG*Ro
zC^l7obkq(HX)cou?KdmEx$m{OK)8$RPkN$QMYc}RNT!c*P3bME5%AAYoC3cSV!eLw
z{^6#$rhL}UptK^!lB6r=csMGM)5CK%s`47U4f|1J@5@q87lj@dPqbU-Xo7p6XH#d_
zM``V`SzU~KjZTTs9Xc)bHIY?6ozQI@>(Gm${zTX1BPnOEyoCg8W8H?`vnF<$2SVpg
zBt1BRZCI_eKQnQzc|fde_So`949gY5N&5#9grxYQqPlw4NCZDGdM-m={5w|bZUj~K
z)pH%ZVNRkM(t6^0awb;pJgE>cCY0i(2e#FRC&L)(J#RY+PWUSn4Hw@w8AlN_jgvO)
z#}UVMmizE3#7odnzFaA{@G>)EZWQk};a&Adw6~vUpTl==O;x-wmQ*6*t_OA7@<x+c
zo_(`q^oqx7jlO)WTBTC1xAaf5ABTU($4A=({}g&dpd4aKpy$MTx_L#alvXNu3&NfX
z{&JgJLPvP35KE1D`vx1Nb?vdQ>=5a4kKfP@aP&Uy*s5^M@BGpOfj+I6$v!>mS_L*C
ziJ}`K%}QTDsM$JVH}tqIPta{-n{kh%XB=+0`tm(X;0Z*ddaHnQJ@CA5nEN0SBg^A0
z#7-2;TR10>y#iwf+Z#LgVi#MIz&L_fL#AtBH_qZ1ulZx-^Vl3pQn8=Gq<o_#9_KSI
zlzcwihYt^B=PFSZtid<Ib&h7{jP4<iJDh<R7CG|az$D1Noq53s--=rq8sXEkPhO0N
zyb7o3gp$dg1LIKnWLn)bN;)S&1yyMVrkPvriPnkM^>(N~jC?>y2l`6Yy+p&}KiC!M
z{$Hso91G<6OW%)fk=Q$Evg_)_7{25Op9dfckfBBRziYb{c||e7()hZVS+aiJ8L~iS
zl!V4G8W8>*2&tX@fuScl*HiA5<v>Z(5B{D(pL?%4By8gx%OWm^2xn_NEF}CDR_Y17
zuY3sVMb}{AQl8&(C#;|pHOI{CW|JIw%DUPIe^{eX7-UOu$e%2bDX*`I#~2LjP2Rc!
zmRsbXEyocDhWs{2f1}{SZvFM*?EwA(7(?NeG%f-|ln5dF>j>3{Hh(ez_oOipa4o6Z
z2DBoopaIb;@CI<NrYTy;4TJBhJs2!M4!Q?l9M?D!Sv@=SP@OoqtRa)t=!qC?!)Q(S
z++`o&ya2y2=>(UxLj2<@e|<ec^-vkPW2uQ(*iS-T-r3{$#TWFb8f=&C%Xj`)vswVO
z0s)%Vxt=><ZOzQtbj#sSHiF_<a~_dCv&){18Sw|tt7Mi_@BP^Zm;|+=eT}fdXF5;q
z&6nWHtgu?hc%Q6Y%~Yp}TF4vQTpbTZqd|@kUab_96|%XgCSduzYbtlffv8c~-lGpG
zo9s2M8ow(0BgmOik%3nHfTj0Hsl;=%gPs~PFLdb+oMt%RXrTqqov4DYGzBTH1gE1}
zW83agw#%Q8jQTL3Nr2-eEu4<>$t8W(19<0r;=7=h54YZ=V)UeA0aV?;#b9JGYgpt9
zeC2;9K;BKItf<%nZu{p=S!gr>V(*ifcqbPZ5_;2w=)U*jnH?NxEVCb{$9(KjM}q7&
z-g^CjshZwFWjWW?_br*H%1JL16f%Db_WU@{$25Mg*=G>%IVEOVrNptpmE=BcJ+84e
z@@IY5O!nKRdWA_oAGUOfN$v7N*Vkuskf^CX{>$<>$UEl#;@6M`VM{ZV?(n7%Skl%;
zbLQ)AHTTEv$!mk`IX0AqST(-TFn+nYWZy66)r}DE7P+K`y^hJc<^%D7M3_I<>y4XX
zEM-%ES+@^Pe|bg|ES6m2mHEj0KZkeBKe7~WXcLYX@(9zi*Tb`x@CCkg4xq(X24#;5
zJrM3Oj|k%=ncGZ$k;JaM7=2w@oS=4pu3=bTn=f;~psu!S8ox~Pco`iYCwDpiXqz(D
zH2PoxhjW^*K=!f~OH)}x-mN9~S|QdoqByB{`2ANd15Gv}VvATVMfBn(Z-@LprtM<k
z#Ey=9V_&r_&z$H^MTWkv4EHop0#8MtXOyFml*EoZsy+F^=jQZrM@fT8C`yjBOn*J#
zYYjPiddt4<tM=>9c_R@1@Zr14QTt7G?V2%3o(9mPZYwV)=4i{u`?o*@ZMPeoTyEjs
zT%sakRsM{;zYqu8zM3v0Z`^fNN;c;YQu2pvQNJ^ct9AlM8d}?L60aPa_Z+HTJ&Mt-
zSn4r|)sMtQ!A+$fX!h<)he4j81RCo?DoFps%YeuG)Dwh&R#yc?-}0x^<~zcNE+X|<
zbdlhoy0uWB-3uzCjBge}Fh68@M1VwykIXn_2yxJIL8(;d6G$@}sn(p_wnscx4#_!Y
zx!7WmNYo3Hf5a@ant=MMuC|RkF2)N$_Mf5Tue4o`>5qMHC<`Ce5%eP@GrSkyo3Q({
ztkdVenx7I{*qe-Ok<AjO@(Y_nmJ{w#ecw*?Sr_4Pf#b?Z*?kw!wMPAVeiw%i=B5h-
z`U={pN@c*Sm8Zs3BIfgYd{QuDscW#NduF@Zce2b{V&mEM>WiZaO)8&tv!Hy5Q<Lo|
z#B*$-_qA=c$8$q{o)Kj59Ra|h3+=MOiu1zt%2x(E*%8X1>6=&bgZU@WyK1iu7wy+J
zw>>h$rB02huYa+^KH!b9uYMrz3azhUX6B1S<0ehF75uKm+-;K6>nzT!<q}B+S5>eg
zsiq<m)M9y$&+0;9Wla2V^#da}`1jazuW6|^nIX1qPpwH6kF(o=Hq*1lx_zmQ44uif
z{?(!lX>5JW>xY?1VrdR3;em*(ZNcl(t5OdZ>GRW<Fx9H|QCUP5%muN#$nxMc2xEq6
zpcA~<$=5;qWeI;CFL+?p_XZpSE_h%Z#4KHn@b^di^Cq$q(v2Oc_z_}qM*qU4y!4ah
zx;J{O=fQ~FJiEUFk6_!Oah;|rxK6?#{tmqV;VvF_@mz5-`o2fcmTX#Z>c>0mu$7=6
zX8rj*g`*syzJXui7a5)-N$&*8uLT&Ik5+`CFi?6+8r;}s;C%(KZsWYTl8s?vCee4!
zl(f9g4g*xb7I)0|&@sLHwWy`QE2<-N#b!L-A8A!xVSZ<_^b0c`LZ~kO@kZC<ZX(^*
zL0HfQyB|4`&^Rq!h}y@!9pg?e${QeK^ir(IMB7AcmDe=j43qwjbCgo1r>EiTO54E%
zdfn5Z=@s-ad+^){H=&~lS~)zV%JGsIX$AXO5yT;_zIG@(Y4;o*q&u_zowPfRVx1V?
zj}e1K57_^0cNYyx@BbZGFpndNyPyW4eW^_cVwGk(*Y@8E8PI0{$YgIl@HaW4Cr8db
zV6%?H1`@5>v)Rl|t=#3q(1#Zd`G89a(1Hh&Vdx?&cdWID*9Qu#K?E}tW{SD=cfnM|
zS2aDnFbTvY=6z@Vw_kR=uxYS_aoXN{gz$_4U}KsYUKa6IqWO%DMJzPJ!u&4BfyVrB
z8ZV*7wYBPnfx?B-VpXyENwL;_2c3L*?SglG=lDm(cB}Gn^$X@KOmhO=d+QaY&^KVe
zu2)hQ6xNRnlkbO(MskIhH%zy`sL=Y<+5u{Fb?KywL-fe$Cg473^giluYpIu*^wdbW
z$@qk1oxIZ2L;D6OhrzYi1PM$(m^C}lz-VE7*Iqw-{msu<pct@F;W$5@3MOfK2nNGr
z<B!9S=?I&RvzDo0`mh|{Kx%K|Od(&+)a9gGV(IpyZwRQX6faF1^JM6wG8ZJjw9&=t
z;T-jgyA<ft?^qg5+ftn8wPa&cV)UWqEy#z`$U2}I8_f4Q$MI6x!JQ*-po|w5gt`^z
zr{x{m%5}s6mqJTZCwk>Zo{(X`(h*8}_{@m6TA(|I%FSqc=#|`$YU2wJ5X*`)(kN~i
zriLC1BZoe_%P5~tNCVXyoc=Csfw)mDUwQ~s8x<E9w@rN~ws+`LHs9nF5y+tl=s|HS
zp>6V-HAJ7ZP7dBeunUTq7dU%#SMvVtAV~3&ocPr36L)T9Sw_{GTk_Epb~fg*Vov=E
z^SG1%EPYKAlNLX{VMX79$c?-D_cy*xzd&Y~kS=V}JKC-y8WRJ!9K}4{&@O@^$n!R{
z(fcQ=F}(5_2QHKkI*XV%c+qZhxHZHAa0^BrwNc);hkCU|`RmK$pBU3bnUNI_t{qbc
zlWcx-4)J@AQQBCSDq|H|Y(Gi%`}nEF$V!L$6$W>>IE`os)fs>^#ZU;0IFa*Yj0-vP
zdfS4^8T7cEn#J=n9dLPPpT6wm6mf%UsfvwJZNRJ5rMnU6l_o;bRGBq`(@e?YPx!sq
zG|?w4_N6H<kU`a#o!BYD;d~zEDGg-MCKMNr{vmo}6swj(v}?T24)Oi8ykR7k8h*Ja
zPEwa~HJvG5ys%Itq&kbIAAD31y{KXB=9P`l@V+RP9zHpoA5$(aieV-Uf3|@ziTY_4
z?jn2yudf~uoxJ=LO-NP16~N42`ySk&0cNpjNC~I#)(}Bs7<Lt?>y`2mEFg#|lAx(B
zf@VCY-o>Q#lGDAFUS5!s^UW=At~ZxDygB?`i(wX`D|hutdkS`=Fe5!51-ZkSfAcQn
zFE)*?y(ub)VOVhc_Q{Y^B|+ADsA1G59hidNchY#F@u_jR!1u4#zgr00zT9@FClCH|
zVU*q}B$+|Cp-^03lKQ}gO-7kdTUcn(CqI-NYG&*8umU|!g|F_9t@=`Hik*TY|61Db
zg=)mxkaj32E!}bIaEecLQCHl7P+-dPnttZ;6?1&QS7m2PGqz?dU$rJkWSUrY(G%S8
zj8a5A$lm-}1y`KFz-}H>%5jVT4WZRGlx26)h6xVbaDGi2M>M4&2ycVi-o%>lsV4;V
zRp-4p?lW44^X3!AINn$e1mdgyx<fTb_7Yupipy=x6mnC$@62dgnh0F#?0^V)@bNny
z-?;MJ_mtcFEIr}8Xzstx4P&p~$VIgiw$H?P!)0`xZQ`~%?EUAP#;!YtPF-mp1a{Fq
zJK*pCHPtSqlF-F3-?|~?tIyjiFCe2EkGM^bZhfFpn5R~*J?(ay8s=ES(MFN#VCmV{
z^b8lSp`jvI8tegA0j7<<aH|0TR?ifIH&o?Q-T<OVOg+YU^0`b|ENJHD`8%sWt@D5A
zViwN;<OWOfLOH*O&?79HT1SwdbyXZ6rKHB1wOqB%%z6eAq8F!Ce+iz6;dr0y`$}Dp
zL*Rl1HV)-TsMa9zctgA{gR>D=l{_u(m*#oOrcAYukGdpa5<8^uR$5}M%re5wQ_#iD
zVCx<OEk<nihphy=00+hX;(5ndv(kfrYfF1ZM!FY5s2SAGjpxGVHXuJVyrXATSYR<w
zKkRdmW0@Dh7q6xF6BS+k-%18<$`JK#=Q{)r%{xl_M%4ywo>Q<=i*3OHlO#{4VZ{bN
z)1lg%Gg^va%XN=lx7rB>jk#hT3CbN~Nekf%$#3P(e-^&cukRzjY)JP{aE-UpcK$SQ
zS|3RZ!~<`il?8&1&*%s3&@GMH$o0kh2N$F-YMJd1r?hF%X?rIkt@qi?+cj<chRhYd
z{D{a+=AWeU0&1WnMdTeHL+_uKf!$~3b`3^#{UMU|l?@ja)!l6Q8myz5*yn#ZMVLgO
z_^om;V|Yd@-W|)S39c#7F7xX__RJdKEnnA}$6o8+&jxFJ!6x8+KrnA_CkFEOm|4>6
zIJ&o5AB(*J3PALB;SY|0rL+5i#(d*0<X&xB$ZvRK<NKG)*z_{Dn6OLGwx)oWebSkc
zR_C8#a*0l+WY>{|(ZtN@nM8RZ;dfTCYDMLhY-h<x;^$GeJud?2w#?S(i}Qp%hfILx
zKjJtiyf8cI`=rh(tV=MYF(5OXZZi#c*qZW}6Zvk15=#d&WHtPs=q@KyT!!Aeg_HpZ
zIPaKlx$7c(K&tZRF#$kmT0nu2?DP<I0YbW~a)ur=!cNjnX2_}R*S$7)m8sJQaAy9p
z`Uu8-EyL;RNVGthMx3F+vx2y1j~524!%*|bsGE}Zqy!JX+PvZyfGk@*Eie(fyhIVH
zAY7cIbJi5GJM20@FaDuu9^&CCH2No%39jUph8cr(l~CG54HRAd0BoMUc9Cy|6Cc?F
zxTA{k+|^`;xd<?aO0f_T@!y}aCF*$bjDTl@KC7AY+MEXjwJy_zuBY_NJBffF#hx6e
zXLhD39IoL{34nB%E9IRu0N6a91ujv0Iwf2%>6oU0ddtF6V>2tAeW|FTW$Dkoep+))
zB==PEP1DBm{sv$PzhQ$KA$a<S0U9fJ!Ic;c04z~b@7#~@`)L<A`vMj;+Xvs#r)5U7
zUIUkm1(Fjox?=RKy96}QQZXN{sM{5pjg6`<64}_GtE5$jfFSZ!raVKf#sdqV@i|U!
zgq?P3>HoCH4%HLStW?vsQ8*YHJK78^F3ojKex{E2-jDDAko_P9stAB1x`mUPH`83A
zQjPemd6}d*GJLdm9VF5MI<uBikijV}x>h=0r$8OSbW+&&dTak@B5Ed^L~uaxKxt42
z82ylAk&v*5{G(MH=h4hPi2@dcI)hDue`<cVkgA_<_dMTNG_2n&J&&^-TEu<+$J0?o
zCcOA)adq5U0KR1~fOx8tOAdW;Zs&F{Z6|aZIuIIg7pFsinxQuRw?&LkaXENE?SufD
z$Ar-pwT8)ha*1`!HmpQ^Q*{Py{B8@D44*W<%rzOs>d0k2!20;Sg67k~wOsz2b%~5q
z9D%Pxmfc)I9s&hJt^(nrHdevPoW94l>ivEu_pmILO#n>~>umQz%^dcsp|hwlb9@N-
z8BgqWPiXyLSWH-lKlLtQf}B_S9|MGWjH2u4VusP`XO{ZJs(~<GLX|a7Ac*)iz)m|g
zNm=x(6;h(7&WO4(0Wsk(!0+}AX^-4p)%J;ySmIBPt{#tr{V)Of55g7|>o-CnCcW0k
z$j1I&9c>ut>M%N6NQ2tW>>PS4gUoxAy;+oe>;<fY<`w*JmIJ;|-JM~rw$3!Vh`3az
z9DPqgl06jLuE|P5G0Uk^9{!;z&^XDv^^rFvLJWk5ifpOl_T0C<PhfV?o*}f<xiOhy
zp{~)-Sb3FC|C&_ob|saEyRva|$HmSDfKq^pZpY_BqlpX>W^vItA_4_S6#$#Ghp5ko
zX!528fc1XR`{YJ+bJT-EX*EdSV(-tpbY`Ju*|R}(T@&N^{Iv{-n5FNw$K}BRVEHeU
z$cwLKqi?u5A>;;ExIy59@xHD}enN{~9ey;(<Nx*rfLfYoqLv)QS!@>o2;mh~DC62S
zv+E>7{*4)VlSIXXDtpi}n(JdBv^ky`umquwP99Hn2um&c>QGjM5m~R<nG#lb7b~Pn
zx4Pl!yQZa@vK=Gy$oKAj4x1iB*91I%9Z_mu6bnFwG>@4?Et=iVJpj4aA?vqT_k?YE
zZGc<u!6q&7N8(wtwZiMj^19Zwzq4SadXqY#-5*qfivdR1PGmpA-t`YRzL{8##fI%3
z@2IzmxxoggQ(f0dQ)WQSC0n~`C??eUQZ}?0HM=pe&?zL1m4>yNJ%oia00HP6^xRg(
zm{93tzosxY$%I%j9zHnrM*WYJ-n?`;G8sA8bC^n<|EW7TUbdXW?VTcvigcnf6NmM;
z%1Lo^(dSfTUbSb`wG-Wn^`!3^qfLL!wh1RAr%}yqS7SJAno`_c8yj8qT#Q2;{X5z}
zCe9W!zz+jD89EW~)-@Ik;ExtrAa=<T#5Oio`wq*VT!g$Ex1A}Ai5CR!kaz*FBBn0V
zX6kPJ-h6*DHxa4beNF!RX38jj8h{P@w;x2jc8~#XD<ke(NpHRDBf?D>k~L4+UEFxQ
zG=9)1s5|7m#U9STFP*mMaov>}?IrV8?<dxqk{-nfJu1m}as5^{^MfeqYY4D$xsbBR
zt|>TLqt=Gz8(nPh7Pz3UUWvXxiay8>)*F}&QYd>*WNFyf8fznPf}P-IhGva^2IY^T
z(H`>jMhVaRturz!LO1GkD{-(upx(ghdq6yBcs`+cZb+=@p*QgE>YD`It1|i`m2S9M
z(yR^p@@D(xLIyIqn)J}CtF*nXZ8)|1WUA+E!=p>I>olb+=9%a`m0MfaH{v3<nVX?m
z*`T%kJGRp$`7&4jq4c-Bq~0>k`FTSNj_bP>21kp_>=P)vEBB+0;~nq0D=Zu;3=MzQ
z%#GkVC@sO9Vy7eiNS@$id++stZGZ#2F??3t3sbcMB*a^+)22i**mdYL%H~|Z?g&Oj
zZhYzh+?N+qrjDq`2@p*!PNijKw}y%X^<3{AqR^>P=eV0j%WJ0G-Zp-lg4F7OyS^BT
zCQCxbu^X=c=g*Wjj-Waavni*vBbO1oGb%>!^*{dC!37dL=i-&FVF2#p`BN}FzV#73
zM^*A>-WyknMi<_S_&b96pI{Fdtz2Z+K#pFct*ewNflhdG^>}bz_I?TKxrkSFT7A^b
z#o)zYn?oU|@*nPN55H1~IzjKy%+Mg1(tTog(ua(P0@pbVWYDc=-@n{15zz|by$wg+
zA`Z+59q51MlD2Ks<=mG25f8Isr_MnXh@$trt8sA=LU9vnh{&5hz=04#++G9LFJv57
z-gf?=BCf+MjK`rTxd&i_9$w`G60v&*LgS^VXE1A0xySyu2$sv`mc_@{bC_T$^ii!@
z;RLj1M-T=}OcbYYF_3@R@|#fA^*MKX;$INxQED-xXWhe<B}~z6j`aWe9p%}m!51h-
zrxv*gpUfoGxT?0}!tf(oFbG`c3c-8h*|qB%j1?o3zlvx!7_i&j?!A9s#2@x|;0tAc
zEN2^WPKWVQ+f+L@?;h2AoBo5N<U5WQ)vcdN%&>?F(B;m7X6NY43*{)KH@@0uS~wBr
z<{T)_!M|5LW3fs6P$Q!b``W1o=77MXnmn$WMe$L^zW`P!S=c-bRKtJ{hT1wX@)sTd
zUBcL+JK_4pX>X~bh1`~{7`|Q6QV!2&x_?=UQwcx<deC$WrEX)8LU%IG$wq6w{|su4
z2GOA@1*8Dr1<XCJnWe9%6J?UjT*5v1JMImGh8aKxLrwm%1lig8<IW7$x!AAd)HOQA
z{arnlplpzn&A|y&$Jz(vf9#=#3HcK=RzhKNNP%Dxai70W(XEYCl%ffLywPh{K)bot
zNyW}*ulmo&6*0Z*(9XMUCLn^{Tzj-T>gG=lY0PO`Zx?`Kj^qF{;5x*O^PUl$av=D-
zkK3HlXKRK~RNYOnE&MOk`bFr?H^FAG>i0&)EvPdGMQ{t)@yMVl_fW{^8{h=&rOX?K
zqRT50Z6W%$8BVCeW4iN9ObMp>A-4MwV<_}Qqi{_Fj0Yl7N30`OP12!7>=>+boM8q`
zY3`L7DwWRrCgeZ9RV!H(;G@c^9OtD!L@$Nezr-q6dAW97_C5PA;oX~2N4EHGY_Db1
z;O%0tZx*d6cg-wX{gX7ACpCY$S-61%)0u%J10N0f>mWZfbgMHsdu4%9)XR!ORTK3I
z)bw&CHuUB@a)?<T2<Ax!!fJKe_cy1=DwBiLXvXr4@{(j~U7JOoXw7s#qt>|JRCKct
zp~EZhDni@Srk`#9z?qig60xhT_>CPj>^9_@VTO;7J;XLT6TYG%Fo121CW0o@Yj?up
zzZGHej9TaKOB~pT%@Iv`0P5_0Oc1<kFGo+@$MP?U#(I^hV2jKS)6e3BK02}&I9iWZ
z2XVF6+pOAO#X)UwmUXfgc{<JuNn+UUF)5!03=d<uIeJzJFb$g%uaLuX{(+C0iHoA3
zX&K6q9muikby!q=>;(#zMnc>M9D|KIZ@(SQHhk&D`uZgUZ{BK7EdQQZ6pevi<{WL#
z_OqugJyPi7*ui_089et=cXfJ?sH?Am2!;i`XSANRzOY^rTAsBTZOgopb|ji~v?ri~
znbwccjKWI;Rw*~X*KwZf8Fv|5Aw^N&5(-JFWUg_$?^>R~{fAIZGIG|vKv$5$!NIcu
zsN;imzfp%a)OqY%-ZsP`B1ai~EV?w3yx(?wX=SfcJEg_e9MT5&!>MSE-WW^hV{?ot
zO?)s|TH2!`21(RsTmI7q$i()<GJVivjaGmrgGq=rh4va66n;Wf<2C^AIG+~lG0A|W
zlq~Jd{{vKy50rT%qT1kEMTMGVF0TS>e9Ok3WP>uMTcPJoZICvOVurm!hEa3jr;KF)
z+Xx3H$nBS#Ti-3e8>|VQz^g2p#+T1)V|IOki?SFFP@5$Br7pKE&W0UJB_7>A5(1*o
zy~JOY*kGdImP3OUypHo3P@u0w&%!f@X~FrQMSY%e{|Fb@j5mXW!uRi~<p6S!8il?N
z7-h?T)QSDM%O|L<>c&-ow<^H76RHyhrbMmO{&12}<#G+S#@b))wGA^2&*v0x%&R4h
zw|p34+`CuWjOHYuAXKAgUV3jP$@1=Hg&9<TWbc-At1_JVK(QY9LKtGeg2e5fHMT6q
zdXMoVOVT!}3c1idPf&4Klp~;?mW*Nq_lleS^1ZevT}z+JgmZjL9Hc7-R&A5IM%m3%
zn9jb3bPGa^eD0!Jn3p^PU#m=$C1jMN{0?kM!hu1t)<=}Fci26n2<rL}u*^5}0oCkv
zmqEz!IpKVd3UApxo9Q89mPOGis$7lH6Wai<o2s@Hol~*DmcRXbV%BWsd@0%2jwMi6
z+<>?P3V_ZjD(3Me3OGGG2WI`C;u{NvVNYH+)wnM@S@VLhZn=+=P}Az1p>3o7DWkVg
zkzke=nem7ALUf;O-JZ@iWfBr1Q+l|>rsv7)=`#oF>4R)0E)HuyrhY*cK->aLI+x#h
z@Q3z4b^o(7$lCS7rfaDB6A*D$lhNL$(GOk*AO**5B(9g=0&ks<)i>Q9vcDX)3yq_z
z;FVO~5`jiShr#H<?xGo~?KCSg7=SjeBiegO5pSQA0OWRj(STwhP5g+57ICIg+Oy=Z
z_H6kbcrktMH4zWMlB?Ho8U3Y3%+)6FfRc=c<xA9UC!=Y#U{lYQ_aBS+Deeq6@4YbY
z@4iM-1iJ}t4%*)SqznTp8)?gQ46o=CMTK!hpGiWnm%7??isVw?riA@D$_0nJbyMOQ
z1C7IoUaUtu6JS^adRXGr0Jq?H6E*7-p<MCfGwVdl>}tz(gWr^}1Hts5AXv>|eS`x(
zkClyog;Yvmqe;$iGN^TUdy8ZC2Gh)SWgIcEPz}C}JP9)^JtDsjcceemXBpN)0r~@@
zk5KJ8)tpTF3tELuhp>y{mw!B*DuGy1!J5<)hWu17bMs*0t*aJ`rfuFxYhthRCSKnL
zjJf<|@7TjUcZ^<iciR$x&-9fHcwYU;c3Qg)YJi1I#pp~sANHIOmYd9HOi!v;2UiDw
zJ4{I@<|Sb;mZD>TUYq0ukV#8;JOnX;gbsny^n$dR7T=Z7(n8}ygwQlrs=eI^fb{st
zWi%(e6Uqk@VOG__be$fb344~iZtY-QAO~6ykMyPlS$#37nKN6hM@FbFY~ujT0~7c(
z4ZGvE0-K>v1B1|RQ#QQ<DNjgX>mw{3J=f|MCvEbX<KyVfu~1?JbnjP%+LxQPHK}WC
z+H34XO7Zm&)P!ipvG!G^*{0!~+gWpGU+!DE-!Kom!n8J@pnJ(v-{$DA1G!B6BzaJ2
zWmN6$7e1L1oyiLo3j-4XBm4`kB8jC?a;uG0ATL)D(N3wdt<7DAq7VXsSP+jS0hip|
zG766BRx?9~KS-tL2mk6tz;^Bc%R^gDkLuYslKW@Z#c>&QuB1UatB5|{I+Nhxm5|P$
z{_#6rbC=c2=#?27gt@H~xGvYsxu^yO_cdMxne>T>!HZfT!?*-FL%#&soyhM({CS$-
z*hsPFp7q(*0Buy3Mw?>OblLTbH7djpj)!Sv+ZhHh*CQX^c2=U@t9JU0?<?k3*R4jO
zcb53|d7!N(-hijK{nAiIvnp8>ulV9cGloY;9wsPJ$V({1p@U+&DZk$k&&ZoUod0U>
zA-Db@jK8VC)&J93Kh(Qw*_nUC)xL(F6q5Jgn2sJ&M<yC1B@LBG7({PYv87%Z^d@D1
zm3G@yFt-(Wob5Q4LQs-B9O_twp^%SiRds%mUv$@n{Ur$3IJ&%ZUZ*e4J<1ZTIdh~&
zUCA#g=i#xk|4$@2f~cJvF^w8i$1iPiKaT!Kfw*908~$B7w*QR~R5$2e8;2Jm|G?vs
zukrm`gdB5O4fpySG-L7xW{<QSgi_Uoabbq*BRzbO&ohn=?nReVGYAX&ZkPWf>#M_}
zYPWb98fip2L_q|k1nCk~LP9}GKtM{QLvkodrKF@mq@<CCAx0_5QMzYn$r*a+yJz^m
zbI!e&=b3-ld%v-I{npz1O^VL0xww&NOwfw2@J_^m*DcG5zK%WV4aMzt538WPr|ll;
zGOKi=ZnMW|sVZGdyyn^YgSsced-p6?_3B{J`f{-q!7}72k+Dw&K)}gyxY-&rg$MgI
z<c)gs0S|kU?_dz=A*IQ@4*%CKB=oq=j>Ze(ZUkOH#Oo92&3yrT`O=WWe8FTjp!s`1
zn^yjbOGEqH{vC6cPJIb4QtfvuuZhg!SXKKybq340Tq)d~$}}rd+t3Z!hanK()+owb
z7ldd5xroL%dtzV7bRt3#&^Z6jJHzRX^GeohrGsvAZiQa0fyd<o#^N&{MwbK*w^2Su
zxhdXs@!kQ-3kh^n3lG52^A!lwO9=!nLVm|e=*0b=(A&ly>nFI`yeNj4iswUtf^xFh
zOepg5<_MlVWw+dD`6LEm+xO9@z+-04D(y%vz?~r06+E7`By`Hf2G1@1!`yR~b5Tde
zQ(O3mDE4{#EJ>qel5JcG8)=-5iO(*#v-5_E@+0Npx8Fl>h(flG(NX>6mcbFXgUr28
zWN7Oe58jaW7*{+~*!@!}TMIqzmw+uv)?XLmh3#zZ{D60g^22^JR@BpeOts-iJr1a4
z-E%?Hl)9lFe8^dROL@f5iSLz6?^Oz=kIKTej}#0$!<D;rDc4%LABzf_wFq4Mb_eU@
zNP8(k^h0j5%=RxSf3zU%wlvxC>ntSd$OMLu_%QL#H+a)Yr`bCk0S}`m<+keFcZ!8p
z3vdv|@)2|8Ctnt#1ybIA$5y04=56fGRHzq0aw0pab*p&#i{m_%s0k)^V%E4f$Ux5>
z)rj`VnM?(;Gb)J$`<q@=auHrEa=u3&aQD1{^0sg|P~AqQ7N}<K_&m)4IONKGv3<(E
z0FRxwbW+*~rwq|*Pqt8L0-3gXzQI`3T>5K*Y2!Au*Ae_n3<!HL|IEtUpi+EI=q2?X
z@!@g?T{LC42fqxUERTFXT6%|tb@=~c`EaPh;+yYQfH{39b8GFolL31>9?o;i!a|+x
zFA~dj?UQ<Rke1ss0}25+Hgz>JFHeUuMBYOB6kph(Jl$7)!F)Bx1Q#)=K2$y*i`?RY
zD#Ed9nIwK4Wp~3KN1(GicL9aQL6dyyUE6a5%h($-<gztzWt=jwSK~I^FxCDs4|Hw*
zJd3$DZR{2}9^?%eEyAd-%UPf}4L7W)Z^1D09U6*aI?KH5L%G3>_uheTw%jU&KZFLO
zQ(hPNv0gag%b{lqft=(ty3()ihQlRwohjds1|D#w7xhIfge?31+zd7&A!=|DO4sA^
zDB1B;B{*<v-*Nds!3(>I$!N%nOV4gkC=%s<l{k6G%X&T*#rWutR{vxm!!~Zj!ka(U
z*_XDhOjRaap{5Lc@Y~nZPlzW7&|GrAUsCpW!Fl{SJ_$H)0fBi5{UVaniTK=RA>b~I
zT;UaoF>W)>)aPN*yFNe(xfOqn2CU#hEw|zB#UPmd0Qw#J7!7q~3J^bS3te>4JRS6D
z+0xyVAx(`n&D#d5&}JqLD|Tp{1N^fMHK}W+zDFEjLT5bx=a7vZ()wk-)IWs=eHt$v
z_~mq^J6G7Jz$_P(LlvwRPtcU3<_??sz2p41W+#AGy}7CUz3%^S*_gjvnsA28A1({>
zP?7kKFL3b@-m=1N<{Q3f8X5`jZ&4Gb6EL0#H2rimw!XfueRfyy*3icPA|?M;emyfy
zM}@vE(6kTYKY7pJ)ktK)<fPX47l;0Fn|Sw*n|#1%c9T!}ts%)?HLtQ8XdEQ*%ZpmG
zjYrvs5=r*XN3P(e)B9hjN8vyKAIBz`m3VG4MPn#Ix1CbVk4Fl^ucs66@8fpE#GXzE
z`ya$hyDNP6&t(cPNoM96MQGy6^?;cDC~T{?CWFHlDB6q<3b(P<nRXRUv;|ef4h2%~
z()j=nN4UEIXVIP3z&+oIn&e2}dzE-t4bMIkqg0o7#@MZhePImR3*_|(yVj`QVQb$r
zK~<ZO)!}JL>lKd<$h0>r#!Wg}k3JHcby!}hDxwo)HhcE%+}ih!)VB+a-H1?Oe*wht
zG>D~2c>*uewqAq?R0qnPGr*HGkcy6)KKzyV{+rY4JB;=<rT+chap7yJf8C#Lkc3a%
z=ylM8LM(W4HHsiK6WWSSA_ftHh;Xh4{g|J4@4T7J#el4<oCV6`Sg7F+fKgD8X^FjO
zPLW{j6){t|3RK{>!`Opa;~aAnBTKECi8l%CNuxTG-wJ^bw`CBSG%*J{fL&KKdr4A(
zNq>hz*N?c<zf05GgBL7`QJU-^GV*S^AC1h?4nDwT;06cxM}guNJd-rnSgpt_rCaek
zc!7QeTszD~SpylK@77y(3I)dP>CQXh{`v==80h9vo&{cW<~-9)0vRG>0%MR2{@L}2
z^fgcOZY>SWRfbwCGon!LXv970O+T^e!RV(f`k4F)xD>m-2AbOo-0j$NMNH`JV?)wM
zO-02!&_L9Zcf=uxKC1~>Q0kBAZ~szkG!8V!Yo@~2<yFsWVf+CG9H$G!YFzf(3q8Y#
zR_eozF9P_kg_O9{!ZoIZ$z^|Q*087Bsnlz)<2YSI-$%)sx$~U@nslw$LD>|`=mIfZ
z=?<hckt6@3^PhWdN)Ea3*u!6kACg+GFoSR`1X3N?uI7a;JIm!=zCufX!Fknhs8XhI
zZUR`;6)f(3YxenzpLUsQVhz5Mm88Gf|AtpY8~x?L5D({3xb@MNO9aI)Ib=35DxU0&
z7gL7>Xh6vaU}78Qr&eHx8S%ga1-#!A{TK`O$eB>!d4RYN-b{qEqwtyXw`wCJ!a5^~
zRyqNn5}iU!W_s(^tQyZ#(M{Gm&ty~@V;h(BxXv{er%0Wbj+l!>spW9iiC*Nij7n_J
zXY&Y}NeG^DaLKPak@3`OT43uyB`O~P9`d2(3VtLNsV+2=t`vo|5_5FdP{29%D&mVY
z%Zv-%L65w{x&SU{j=*&>AOP@KD+aHa4rHGf(URkxe+O!Pc;QMD8iS1rI0?5!K7<ah
z;MyGf)zf+S^Z#)-_JIEjCv{^?_kV<v)Y*<X7W>rA@l7(i^{p!6uhdlGNZUVd&ab61
zM8x<jSB9QRwk2@$Vm5SZRvmzV>;Oo$Fi;nIfF>BjQqb_Tf$;!aI2zi~11xpzc3{qY
z4+c2mR@cN_f7J9H0G}#A+Ca;@F7yUe2`V4dkm^tW*_i?}rtGKmL?D<zNhE5(vg}gQ
zXX|CJXTHe7M8c0AsWBmBV+%;LlJL6gzGh=Xo1t)%HrWp8Fz%;cXx_|7$(Rzuk0qwZ
zY=f|<EVb=dfHZtNj93V9=&iu>tf1~M-xa(G-=zIViX#$5vH0Z;3qCU^Gg|((aw92!
zDa>NZsJVMZ8oHsaak4f&Cy-#M2U&OW4=X+?8-L8@TSJ)u{ibzK@Y--R9hKOzkz^io
zgSEs&3Tnx(@~Fy+Vdkwt{mp5ysoM~CK3}YeJqpZXM??p92c8FtqW*>O?q4$a(4r-d
za52N0{QbRI?n}l%NvHN|()gRky%*`FZ5y;$-J+)cvP$&7*xebfQ+KGC5srAs9(RZs
z=JDA;u65*RS;93Kx8}+Soa=dj{?-0(Ej%`n4e~gtuRP}s#j7s~6am`n!C+Nv6;!}u
zS*Y^+e9tulS@s#wMUkY6e6j;p#sSE#pk*>u1bgae+;&OseJ^RdAJxG>50T!3j0hT-
zAmJS0;18R9KuROrb9R-WR&NDlK<A#g%q!VV$3j~P_R~SRKXgO5D^75*2e$+5Mu3fK
zK}?F7Lj+t(L8f0h2t@D1v|X>e{CLIH13=clwmn=7`oIK{1jPQ)xyipmAjV_$A*}zs
z4fi6wOnQ=pCp+rp!f`HCcK#1r>f_;iF88kgVm1B(Yu#eOB8HicEM%LDN3(AyF03N%
zSi)8by%G*QYoTcv#}Q!(FfiR1WzUDW3l`%?6TrG~m4c=N&7rB#B>;(2oS;x)=^H7T
z7Af5FFh6}R-HlOH+rpFJ9)C(-nz>C_0aC#6hVib?*Y82mq^lV1*jvFEgW05X@w)6&
zvqFa%U+L(VmvfrAW3AtZ#Rj+Z=SKI|b6asn@WS8i$oS-Hx7Hs(6Sx{Q>oI)-`uDsJ
zlPhN>UF@wVE@&AT4od<rDNX@M4vPbNxMJ*<6V+CC0n$pW-Zpx6?KVn29`D|JH*t?4
zPQd=>F}p@S(Qi2Nm~C+>2~$0=mF8qkVtv5|{0wc0#QhsqM7CRmA(G;Crur}uFCz9A
zPvzurFUZt?B#&>BlbH&<P^(BpI!LnCvl%7>^?~|)0$98NVHiMcyV&rb9%>5{c+ha@
zD<~6K$eY~RUP2xK$}o(tX&*QbIzMkM3I1`3<7svXK2sk){M^i^y37b@?uk(S>wQEQ
zXpQ86M_jI|p~;lDSWS9dVTtMWS5RE%=t08{^XJlR)Svh34^3oE!9ry+tKV;+yv+zv
zv@N2DJ42}exXWLIV6?x8RCoPReP|G3`eo@NL%18yDP(oj{EQG0sj&N58DkDL>rND^
zE<brQ4LahJ9(ZP2RI~TZHgsIas^`hwqm`JXXy##G>94c*G-$gW{Vn<-)b~7XKd0|#
zvM7^kTU#yPcz!@<B(}Ll7hV2$-J1w+rze2$#e!44DY-fnP9kt?>sha<svO}H#HGc+
zj2@ao4l2c9kXoqaOE2RFUG$C-BzS^n5y*<l=Xgcv{xlb$j(e@@<m_Kz^iH`w?+>b$
zYxHHdQ!@WLQWbVx(<G+Mj}D2FLjte4-TvqgjHB2$o%{MXZC4i{toK|5rZ_%25QSCY
zn%=4|>HKgW4TYof<u36vC}xHT+-TMw0A;i3Svp{LMMQ-;+qG?s!=Q(J$NiOPF+ps%
zswf2*KAZHqY&l|k<u<22MAZ#eStWp2YyNZIHjv_9_IZp-5u2sNr>)2LCdvZ+!=it>
zRGEwPYDZ}lGAF0GDKU#z&3@fZ=uF>WH;32_?ra5a>~M*XFD4KL1PhX<8R61`S=Nma
zjAtgxeTt`kyEU_frbK9Ef)#gTi2#+LJ&PbnpjMz~5OW|uY0bcdSaa6n`Ge+bz&la#
zg$`{(7qaM-*>RMoXBi$FL5xZbYj8j&U(nG{ySLj;CYv&30Yn!%=4^s^HgWO=5)5sJ
zV@l?)N_q(QjMVNsZ1_%Rec!e1TP2>lklcC()OycJTf=$>p-<;0)DbVv-rEr2+5LHM
z18C)t%_vgqF!IRw+bqtw#;>_E+GTvNT-mDA?^T%K$%p#r;uYRlndxk?RO5LmxZ!Dc
zE>lM1eK(|7{6$XZy^ptyk~M=<H<0(H_^kdAthtNI-tzO2BGh&ar!LZx%D?k(FTlQ|
z9eid7fa65IeD$x523M4u2$miIXs$R-w?`Mz&4eHATY<wrEz~8lg$dblG+JZNuWt$d
zB$|)!<!Np(vVK?r1~v7dCG@+@5Y0k^0|e!sv?%An@81E3X@y42|CHHdCYu4NYp}@Q
zlcDG)GR^K^^E8z36q*!F&QIyC*r^b<U_rT=-Ey|p%q|R)b&b)u7VESSoNX(n-|uU*
zX>eR~;5IS_vkm97BCMd3!Nje$dKo|`l7;gDRh6l_K9u0neoD?TU>qAN3`Le|RZLfX
zt+KBlllgl8(0M|WuF+gr#wt&bD!(r3LtXug8rkP>Q&Rc4TqzkG6%y6_roMWmm`m&G
zC2j$4OpX;2QEY`IzX~&TKGdH-cA{Aw?CvfW_+j(;NzQp4`lgY^R|f*QUu%JaoKr{b
zaMcSLXV%K6BrDAXau8Z@*qckCF=DXwmX-Gj85W)VNkn<uj6sgNiY7(lVyW-;PQLOH
z@#-mvJJc-z3NO330d`m<HqCNpllv>x+OfwFOWBp2a6VnuHLf{#r|{e!eCTE!RV7qE
zjXL<O)g$sm80qlcVp*qu^&5Zou;%k#vN^!P^k@^O62REnmFr8ccgGeUkY=5K9vZBz
z4Y0&m8JZ$~Jn6eKw)k0LyLcQFjJF&G(rt`5dyRQ8kz`(lT6#4x)OqkBudB3_4H3d#
zbS2DsNW<g}@GhZ_^~OR?wLpWBOg2z3Zl>0#wlU4KJ)iBZY>Bf6^F#|i{FMITR1i&b
zBjHVxoDQDcgtz@)PhQly$KYiLaJU0XxH#%)CusaJx<P+P6+M39hbZXSNkVJmKyb6$
zZDua`VJXUp@kHE9wiyC2b9Snaum;{D5>c(U8nPj4`qNwe>sr%G;7bey{$Z47cSM3=
z18eCNZqlTeY*`d%0)-m?FFC&0Dhqgd&|D<H*M5%86{HMDy{hbP$WYQ(1lv*ky2$18
zDX=}Ax?ef_GvS@kmIhjLRb3Y_`%=cb`F>UA7AFH^H5w1{#2RRgI&8nbu<Vw!QO2FO
z3wdxHIsxh^)l>%4F!SB24k$3OC{YuAp<AF=zolFA@}s?3Jw*!X8LnyA&D1S)8yaU;
zFvxDl^S#qu=K%n<ybn!j)S0C@^&R#P58sNCS$z%W8JdB<Du6i<lzYowJW#jXgRWOw
z218V1=kb~YdffyP9!Y-f*fVG}jJ3z{-pE*7Ml;MM?~r6GxeYFt*ce?Y2koBZ+rHHr
zokSqI%K#*y@j&L~26JLvMhIZaRk)wBrfK|s7yHlwUyMUWYglv`mqCKb_}jSM9@Mqk
z7vqG9s?8(y7oFZY{W(QCRfAK=nY6bzg%B!4>`dF&^y%7?ey%eypC5(XwNj2>f$&so
z4aJDY1o(d{_q96Rf}6mD1oIydF3^|1?b$<5RSu&bB3#W#S~J=OQH*JfsilKzY5E^0
z#(z}~(7O}-qW=cl@1eg*kWEFBo-B!Dx-FWmE+hl@Wej(4?DbIYzpXPZCaFi@uTj1}
zknR+ZbkhC*cA0MY5c&Bt6WyPSvDe&O7(;pR_I3p24m>C`c(?FNaoT2aXT?d>T%MQl
zp>(xx{@w~E1DG8^&9j%fv6FerJM0J$=0&kTkXre}@PPj?)k7MMq^u+8a57q&oA$R%
zCi3K92HQuEqiPM>aP2>sj%;86&d4aMDs?#JbR4uw@0Ijkuy>Bv1Om5P#De^X&CS)R
zoK!ib9`;}CY;~dUzvT}Z?xF9?Ax@YP5U4U5awLL0cHJd<9_j5A$;y}gT2A@*3Cy<e
zu9e>A<uflUh;|J<#=qs9AeS$52%wS97rYS^{aN)kyY6Zu@KJ0M?Uz+zO!k~rVRL~4
zk!Jb!^WztYv!6#4<83lGT5502p<v+Tbq<zFTvL4yR|yZ@g)=4d(@`;Fk-gv(YJ$OR
zT?9JU+!vhXMvX!a>`T@{AGER79k&vF*0vc~46Kx8&;HRAWDkAE>HoZbWo7*HQQgG%
zU7i)U#E~IDxZJHK@sf-&;EUWXDN%@%`2ems#~;LG1_dD<ZnFS+(w?-d2Zj~rlc?lz
za~X!LOkHcSKmFw5t921(_EIa>{U>-0?lp-A%%+TzKp!__-0UPdI_;ZM&s^_|P*`F}
z0qM}(hqkiIaCB+U{0F&nRAjhDJ6tXMJB1hC1ieJ`rjJ%Tiqx8`wfcdJJ`ioPcl7N~
z(*zj#w`zkt7etZ+h%;2ha^0!qZ~$!7?(hSy#b-5}f!jK2^NLj)n)~hJWd6me{+-SB
zoiRyT!r8fXU`^@A`UHj|C3ietfEI`eK4Emh$eGYl`>;`#LZ4jY-j_oT<1@WsIdQV?
zfFc3|{M9-umzNkm<!etzH8am_m`QgG`dbQ|1RL%vSEiFOn@x}fPRzV!u3cIz&vK%s
zz-8+gkBr_4s*<Y8mljm7DI?t)$Eih6Z;1GbEzq+<u9;Rm;7Oo9Vg4dlV@jb8Di;u{
zNJ3ZPPz#CtaUwtoqC@Lk{m3$?4xI?b!sSYKK<$KxZ<SjrnGa%3L+p$ROSw)xy=WTJ
z?aScC|KH9Yiqx|V^36XuBJ!tb4i`Mk=(>FF|G|_5(-DzJYFy1+nFO!*cK+k4vXw2%
z4zsE@J!bCW%K9dQ=>x_w6Dt&cJ5x#7@bau|%{IfAwL3a`kix-z=NyM;qcWr^#)G!C
zU`+{K+Dm8#a+dWME}glLySEb=oQWqB2K!ysJ+6FCA_Vf{D1^16)n_Mjw(f(UtZdu+
z>+23}q5I*dD3Zv&9hYyy=9}Pc0uOx0pMpPc;6<V)zqSV@r!!V0N?EY6gCK}SXZA(-
z^duU39BN5#-B(zKbnxx!Ei3~V=&vblyxr^Lu=6yHE?<t{K0tZ?#nOH7+r7f}JzMC$
zM?dI`yfY<gl5R?t5Da3Uq>qz(jcF1izDyANAB^)P%MJ$8JUrbFn2(p9pF(~wI!r$m
zFy6HsmKzof`5QS8<~JTHiWJ4UXWUQ;x}4p@Ae|NO4uOVf*+1_INLNxOZ2}2KM@J!^
z2Vj7-PIqhGn%QNj)d@V=-Wf9pxm^Ats|~$Z#n^N-pL^l77~G$Wy8I%=mJ&j_s~K1j
zsgBJ=soDdGNP5|WA=)U9JHhqTy%%wX0Nhvm#0rC_0EYbG770o-*Y-oW-SuwLd_`%n
z-^b*gq5&7_E+SK~_boX;-vF_;&>chY_m#H@NpRDVDik>_iLF%d8CQ$=bD2W<!}gMY
z)cP*a*W!3F3K+m^VEYfvq)+^eFkn|y>eW23kt`f!tXr1p2iRW+r=HL{32A$+ug53u
zq(MdKDTdWASTxQ3+EYv9lhhM)BForDnS;i!{|QS03K#-QU13r_eS1Q;2(9#MxZ%Lw
zvxaS$`Z1H&F`g>}nv;MjvN;;p#a_X7j~=Dz0+{GenpY*YpYiYlqs!h*fBJj%L^+&o
zfwet>%lXf=^RSRXo1Mg=oVqW!RyUAk|4W;_ub<Ns)s-!etkwAKCqLFH{XC4JND0S~
zEv5^=b<_{H!$>|@z!t{2Re)BAX?__)qT#vChT|)I&*}Fc&>S()|IOO=Wl9R+VU|o|
za!L4wt)b?I1FT!{0_d402aLm`DM28_48^H<nrIWTI|65wVERUUz8cgxFpc35ke}aR
zMwH>xg?8T<Fg|^V(7Wlz_c{PUYbNY$5NE;7PgESF6T}{}v6{Yd6zGHt!Ru4I>Xs1k
zuOi2SFb$U9VT12ZPnF6+y`~e*rZNIMkFXgjK-9;bV~AOHhG<wsORGZqaA0ox1r0*e
z>@MoY7Z&!j+4p0kF#aVBkO~5e%dmA{2LA&2ej?|D<AGaJ?Mx<OyfG`}9O0(ZukHpB
z1$Qa3_(#>z&(DD2K{N-R8X#;p5w-2}@4#y@?H*Dn)vP`0Nhop)ZRW(1rG@tjua2;l
zc*bOj1!u6GC^CV9Jl2@I#+m;LMtT&FK|qcjP68kO7T5A7B)fMV5p6zjMv?IaGi}5^
zO(&rjCB-zHPC}lEf$k8-#XLh`00NUY(4%R#NKvo;1!M1&vk;1jm1fuB4hE15;C#ia
zvMYWJbDTql&HrYgi+NX}v=ug(ifJDN2DJnR?GAIuNy?-IPBYvA%^I8MP|KMtp&4tp
zHZkQ>?bplUfqi-Fa`W_R5Dz<N=~E>~9^*>)J%94WD#q4-8oO?l>1^JzOWm9~!CmDJ
z+d3y0wCR<K5^x1$B4@{5F15#2z;RL6X~=gik&0hs@a|r<x7{jxVISz}Frh~)5uiTN
zYJdQ*Ts%tB$N0!sOI<(APEY*mnd$;2k%g4M>OSm_!U<*?HvO+^oPeX`1r{$7G;Ok%
zF%2|^9IoE@Ysy%6+$&!5Sa=Wq^$Mn-t(?DE1=q?7xjyXdCOP3hKk>xibZF(g0KlmK
zAgAv)l(xX*0Ko*rBlfNs)Yoa^BJk1o1_Ylu1Rq_gaLM}fu=Z9r%!`3xDD3e1&Q<Rr
zju;Ol`<fjE_&&wA-P3J?Zv#3Dy#EXNy)2u+L2jA*vY?dB0?a(kn4C={JRggk$C6I3
zeq@oippi3^&I$FPM#&<0%${ALOg)P$K<DWroOeQ~<I3#2Ftf6|FvLF~V4NPG7!*Q-
z_L-2UNQs1XweYg|UPr$RYCT8&&<pI2WRYKVf|{MZ<{F-mNoN3uAz7+GtC9coaj}(9
z;`g4l%95{&hMYeNtoL^e8vH;omiPmUuiq-uw-2NTUg&=c-OX5}#90jL!aX0nnf}=5
zW@P@T94VN4)0CjUiwG=o*lmMmyH<J)R)H<??E{b<@iJpMqo#+$doJhWssYI8=b$aR
ztkPgxCyyCgjJg9|TDDri=>EXB9VIGB<r+>1z(Td3AWEn6P~|NadBXB8_(=nk1dA7+
zOm-OT9$VC<^4MJja*GAiLdY4*%om8)o)BFrX1RW++H-62%#SFBkXJF?+pIkJ&J_mV
z^30H=d_ItJ>bIQuVm<B30$#%<5sUh8KLWW>?Yl_9fB|9gzrnLL9==>r+zP7%@c%A?
zZR3yKT*c}|SWgXrS*pGwUXTP`%f1Je{ZD>iUaeSj-u~T@@GL8*j=k0X29%ItR}CQB
z38dhv6aqZrM1o>+2Blv-?3_0D<@67#<uDQA#yolbZ6C^$3M8s{`Kd_S*{RB~1!hBU
zV)qkzA2i1>){p%4kDoveGvhYnp-3Sn>{;Wu(u?#jj6zM#98|q9%`w`qbr*Nw$~al!
zPUQy>0LbRxeU>#JHV^$g-}Cj6Ee68{)I@I$DB*lZKOU7MDs3lnYl{`^L3x5r<|NUf
zV=D{vuc~FnG57Ik^BQK&?{xTAU2M;s`TaLY0k&=kwAr@e*oRWiZR5zqx%oe6Rc~LO
zKh}ksN;_cV(Z10qRO|~!nZZ@u=NGZ{1a+j*b0LxP{ct#7^-OY@T7cC8e*_2nID$}j
z#7#4xbwk*hOD@uyTn>SeF>T!7t{?~MtY+fXid_i#hfR|#hZWopI8Fevd?h6Vy-hy2
zTkfK*_)2z`Rp85tc5965@{3AOoUI4E&j<+d(?90~f@!w=J3V>7!Txc$I;OJ<z;J4_
zvVKSxMsMkZ5?<P4bD3K<$9T=+dJ4@>Z*++4R+f?MTk{nls(<nLk3&FTQfCCj2N#%P
zh#3gu{P}SL#}Qwb{XG}u%$DcT@SHl~fPiEJvw?pKC$}E2t#L8MlYJxX!o9uoW8+dS
z1BPFH1B1}V(O@b&+uu7bf-dYxXa!(6qD5^bn9kDU%gtHel+jVYzn4cR+p=VMcwQg$
zn~Asr-;j|ZxIScwUb`cv@ly6Uv%q1fCQU4jjsPU9;W3?i*GpAHJ=WHDs75s*Skj^R
z$*;1sH?Pe&yGU;ab@(=aok{JRgCCq)1cbK`S*Mt%NF&GhHf<^nOvV}g0+0Krvbj{X
zVPwhIn^*A!K^uWiAWxiZcrL6yh{oBgZCgE_lUzB-!#4Y^zp*!)wQg3d@#qdpk?p5+
zRWF4BTAh9Kc|51;&_gqzbSqCHgTtaE*}dK7IfTrvIyyS)EM*DcZZW;5U}JV`lq
zZ3GYRK>sAI0x6Tr%X9oMb;cBSH#=fZRWYNqk{{q8y%6lxyGR|m%u|Sh9g!b%^^xRx
zrJ!oOXlZEiFho_?C(P1Xw=gL)R;y$e`PzpN^Q5fUh#Ts{`|yGh0dM+y>T@WUi>$k?
z8c#v7Bby`xc|qV+bPZK-N{rH5g_9F{aRJX9OgxkSahkJvUg9f*{A&^8Q0NnjglwtA
z=glL>7CAB!b+f{~VM&qoqYovjjbo<g6KgZosczN~c<D^kl~;K10%O>snb$#c^)|@q
zLyP`jtrHQPs!|5DB|{<|;l;f+-%p31tKK%&TlYHKQpO9nN+N&uW<6L#4Op*~3fTdU
z({v}-?L*-3ncwvSzL)Rd4$1(n14fTMkDuqK3>NcVmhSD8t-zBwRpUqO!h8acxF=6X
z{0@2h<nH$<oo)h~7%2ieyXR|4cdr>kg!zc3mf`#lhKimg1&rfV08i!NiHrbE*zqlw
zvY$$PT31Qt@EacRUD}yC0c#-F=hrRtY**SGJPkPg0F5(j_c7QXle+^DYD{(#a+&}P
z;9kiH><_7}*(j8`+cVSi!o)T+3HUM+c?Mo-&bh`ou#-~`Z%^GuURkB@ys~(F((C~?
ze#`IcQ1^`+i}qT9>+vJCIcx}i+)MHaP=<zN;Pkbq-l+h*W-{aWgH)yNV{c#^P0rKi
zFErtf?;Gt(m;ma9_~CnbY6hj8-<NtI8;sqE7_bo>7>FAO-n%|p#1u0)r;o#pE4aVd
z3W!bRkk2bFiN1EKs(mug==UkJL{#-Z4-1ckF~agDP#;*v5U7uGpU|f#9hwj2NEFoZ
zm0qscVnmQ2MuVo)I8~Y06m>6V4UzzuSd@5DFr}UM?&jjKqRU&Z^h9o~xUe?N(;ytG
z8PU%Vf#KG<JflKas;hd%B-VD+jQ(0*%>G9u$nLE#`(c?pK^9I+4&3cmy2j#h3E`0=
zOHQf^!x8RlW4@KhB%Ph>kNYhBz(hxN=O$K&Z7@qMdOEts=&HNM_&Ec29_1=o9vo^U
zm3=$&rLOQ5EnW$~z-@-(#B3}}cH{N=cxwWxu}S*`L~dxsJyKC#(^<Sv=EA<l80bM?
zN`Tjl;ek)*GZNGV@ZD}_N@u#HX;q(vOlSbEpmuAD1|Y=jPhhW)S_tN;8@|>KeNH#z
zL5e_`{}uFPaUNi8Yd0SNlOn%>ZF{(&uppZt??kPiBObzabSY$K1SmU%Frq$47aGz!
zSq>2M$()I9xf;xQk0C;*ce#PF{M>3)XU1RD*+6d+C$!+zTrP&E!7u#3i2v4TBeZ^g
z;k85`m<k=*B&bYsg&s1R(LW=~AnV8J+7=$?MHFwEU{<;PEp(+$lx(1~WgSl0Bg)%$
z&$JQwbogbVo*z!nJ{fkO1HeA(Z1Y(D%Hp9#5V1kjiNOtRwXrT`P<cF4{H(vz{Az%H
z=jMYLQg!ue<-M70bl=yREW^olk3Gpz7^bbuD)B?7S4et6b6PrbMZQeSGfjoKxk0Q@
zLWBz<IZ^BIGofW6upZ(_fJZ--bYXb+26mBM#4=NzkAOE<o49@LJTYq#eSz2PppDR<
zv^&N@J_huSFI2|aQIAJ)_I6U;v}UNYN@Io$!Cu`vIauaF<pyU2P6ae6{lpT2d6+^?
zX*vD@KqP;?0J>!@LQrX#mQzJdlC^FUL<Lsqrgq#RXm(}#TKX}%uH8MSqwD|8PbbBY
zXWX3{QKkv|l$P}n7)!h2K9o;2z9v}_cg=g*HR{u)YW`M%3)LN~Bn{_-il&rODd+~t
zD~tfP^kRk@dex;~wlqN=+deapRF}4<%R{dh&o#bfz(H9<5bO#4Y2y=6fnB6E){-95
zlnjfUHTW65ObQTpkITxrl4?A2_8(@LQKtg1w@rP>@e34x0hlOG1*NeHe3ygPRkcDr
zU3C~n_>0CF5rCn4YtthgSZ|e7D};<zGn##5X57e<6>=;MtdjTAQ3$h<|J=%5B-O%v
zqyqc&BH!jq<UScbu>)w1wyta=bO1B0wlsEHUfgFl5M`6Mp?&?uuJk}3L@XgiA20Kl
z-|kQd#>C~xGGHd2+B!@KvgliGpk8S;wlxCZ6%sCKCfv)OJu?2+1h0}|1Y}DO?4-M#
zbLh|*R@|$0bKAH4zvi~p9HYRt^#(~<9LLX3>(<X8-%HLQzqjAlHgQwFF~SgSgaoUS
zI5R#nAqiEzq(aDJwdpFBjy1!4;^S<jZ@KhF$%+p_`OJvjbRuSbyx48v+||pRi<U1i
zxfZs12V_xI*FC>(a++ngN*lpZl5)l9Y+($2@D+Bqi+kDD7+>r95FU!i27|D?_3Os)
zmL^;NT1txUs~|h^IwwjI-eq@ryk_q`Bv$f8urpyMBB%T#Alpt)Nu)V2^(rh>aMQP3
zku4=r*8}?5#@8VovyU1g>^>@OE@pW(07tUOJ4Fy6tt}7w#-H5IbT_Z%`$G&D)*~>}
zyMKag3GwpWm<#c?o2oAalr16qorU5*^NM5U9eP-PAOq}020v###F2wiT`<{#Z$xJ7
z0K7J$CW+-y{74~&1$n{76Ushe!a6sjc#{*l5h4R78iYAp_)gcR#}38>FuuL$_SKM^
zE5cNRy}Z+iyzc3G{X!cvtMR?r|JWfsIK~cfz8l0)Mk*rIZSowMgBCK@o62oje_xx&
z44NAQZ0SE9_-GfeC1`$W=&9hqg9i^XuQjuy8Jy{$HMYY~=&sFu;a43(Bs4QmX>YF_
z0vfun5>aTGL_fct+>|Bg^#gD*fGz{&a{342;)0-Zw!eNrps{^7>U|9e7pnQqbhcGC
z739#C9bM8SX{#GpzuoiC>bBB(n0%f`?Pwql85RjTU%SjGAb~hx>*=gI@q=YoFZ}X1
z4)9lLhCJNz8$PYl8<@c5RS=&zE1C^M30t_#kLk$mmZLf5;*Dfu*B%82z!tsZ@z%=E
zkQ-^;DrcII;x7?xKa>?P-S{=gW7!?_kDKvdz!(L0s-|4JlqB6W^HnzbZw{%~Mw0q=
zgzwh4TWJ5oJ<lsrf3uYmx?fWIUQy@t&{8j-r7128^oAZWkRE_>zuIj=kK3ts_J_4D
zJ&5N+g66_Sfdh#(ql9s(EWq%SgN+R$ucz^ZL3|a)@8+j!jk@u``?=h#9>>cY6{U`s
zzm)y=zYnAvQQ|c$#;oaR%KM$~oTgRebKL=sBn&Wlajy%kq4DN;&{F`dAQ#}W390yE
zTEmK;((Lbdij3tf(pjuNQaZ1$z63bux7;rRn-Ttf`YG?iI?ywMnB$C5$oI<;2l)es
zAG7`4Rmpk521T?ybhj6~$Kzn!;7tqe?3c3_CmR}3Y?(Iue`OZCV;A;^DI0UD8>gDl
z3luR@#o(LhC=m*-Y_09Txm%PWZdJ*gMW->itwO)kB_@{kj-5aNl~~=$P#(iv$;P{M
zLQN-z#PeFn#?`C}ir=3B0#TNlKtfriKjNro$;3R*b={iE_Ikayy~}9BGF2uiZa+~6
z0Z-Xl_?jnUt%xk47o_5juWsMFk?(?uYWZ5DBO_7UO@(=HZPPRfT2pl^wBnbh@fz7x
z@tppA?UuVphi^);f2k8Y22@?X*s*P=tMFpCtp4R3iE}T{!P9t7!|BnC`njg<VW;Ll
zBRHtT`nGp_;qu_0O>z@HZ6Af@s4e<KsakI+qOk%P_Fh!ulJN~rmTLS`Fwm?MJZM+Z
za@eJSd>Bvo9yI6J1RO(2B<i%f)RU0S{Oce;r&wy$k$7IbFw5s{auAbhyCFx=^FqZ5
zkg(kTZzH(G!HAByer;^vAMR%tUaRF!{(EJYXDi}b4qLB>aGu8YcICm*T{`gNE^+^g
zqDbN3IY4G^D@3{M*%oH5WM{^YkZZ}G?+;SpDpX%?CvqMn=WPf8glg|hDWam_Np4>h
z@^m{rJP`?+D&2K!_*#MxaBlwtoj0_?qYVQ)V?=c5H`aQyK2k##6`y$_4<)L#HT}n0
zB<%|HbhFlbfWQVYEQRWSen$#4F2x(Z@Hd!Yl`(DcdDjQ9G#<BuL9iLwddkKUxP>uz
zkswDu@s3h9w)HPMx`E;*qb=U;Yq~eC;<4DYLz;hk0ZxE-PhQblka2{_3cd!u@@s$Y
z!I2Ia&R=EMIoRTK$9^`;3cPMSmOwNBZ#wk{l%-$SC-B<HlBtx%81118VJM*A5M--z
zpb#L_oT{uJkY&a0&OYMexvovgNwevDgFX}Qw8ge>G`J22Z9c<@&tbA8#^nCEsQ~uO
zPxJT`kj%COpOwtdH~|S=1(_f-j4NZsca&%Ri7wscGeD&uZh4L<`sg*Xcmm(>na!9u
z!$vBEz)NZvGjUfh-zI`JW6nXA)MNEe0PVF-M@{1!|J8pHjBf%yF}ubX&%QNly#CN9
z3~(tg1iCXTmnX9vH8IQb!Nwm<D~@s$5|Sm&ID1*}T%|yv5^dJTV&A<nEu6R2JYxzR
zvX$8IdguZ>W?18rY?AAlFx7ND++D`meXNxlaGnDnfIQ;Sm5E}a!kQ>&ePB87J_U#u
zsllMV+gi*exXqIP*BwH2`zmIy8(B<4?Zn)F7x6-wn^FUk6_&4Di&rFOjqW&DA7p;-
zMdqA_lnTt*h&4n6h#OcnH?6-MhUEseSN9U$6=g*{!8#&k?A`PBurrA7-B!|H$$i+2
zaIU5npoGvRMyT>Y78qKS>(sM8;fns5F61;Y=cfo{E;W!f#xJu3c9_)z*I6*KW1I3;
zmh$y4Udo3Pw`K8yJdQo>^xg$*OVnzY@4W{CMov|{E{r>4Dv0;g?`6%mG4P>rw$wAE
zbQAY<n)|PNIB*We?go0bo4<gggaMAyZ1p;;d$CkYU+*@o#Z7Ir$81<c1-Oyv8J2`X
ziPA)h<;F3TN;wk`x&NWv?$s9m$|k)o&)p}><@0u5)SIaFmtQHrhFTeD!^CX13fS<j
zUEQ2E?<!B3gJ`AbNzOCtJ>=M0nejH$#>mxY8%pPD?79@L)>YtmCnU{PQU+JQW_y+!
z5HXd*+p<akY#^5It8s+aj=6V4{OaC20AD}JjXVs8Zl6Io6gP5Dg}pKP--QX5ELbnk
z^kn-Rfwff<-9)1+Qm(#*RifEAX2Wd$^EQnAf5gH0YPUn8tPF+%-MY`-OhL5lfUzbX
z;xy<4^^#!2%t@?+Ejq%+ChaQUfZ5L)7Udd?ahx3Gcad|>qDcvD%+eHWfN@pTzQji1
zVILIP79@dC?_DhLS&0?lPu7Lbi`ET3N=K^|Woj_0t6<pn*)Jej#VCaGxgpg?-!jS#
zy?@wp$~k<u@Fk9cVXI}?bTMx8KVikgAJ?&haaR}6z|1_Gh-%*DN^JfInv>GPCN)g7
zS0wuKNkO8*IEH#xeiEWZ2JKhNc7J!Y+E&emQ8!$DN2$O8j8W095Pl4#-Asf}vME@!
z1;V?{w^v$D?@5x!mul_O_D_$UAA4%%#83UW%DM>2F|*{E-)ybd)?{CA&;oLhWWDWG
z+^fh*^e&e7N+y9zvq^8u6V4!`pt&?W;{V9TZ=uJ*VWHLf{j#MztlsV#X2wOdPvZG%
z!x%i4R7~Z~Pelabev`BLK|tPER55d(dV$)|iof620x2gR9V|q03wo#FM1MBB?Gw?R
zq&^pJd+)=*I*in*w*11W2&=L6G<kJhi$S{RLD=G3T;)8D7?NX^2w@(s&G$<KHWaC-
z-jP$fa=+bR@s<a_Pm?$gLf7}n+~c!ytflfCB;EDnANxQG{c$^{TqR3`6sN8b9PMn(
zs!R9S?=DF?ZbE2wbzaBI#~IHsy{?M+rDOYnJ0Yc+_LjvELt#|Eh(i}89jn}L-_M)}
zO*jBhqBN!I6Xp&?Nda})c0l?P@eifGF(5`i)#iGScPK~z_W60Ewxi$6g))_wxWtW|
ziZhJ!lblsN{K6as8FKR%C2xs*;PH8L?x#IeT{cOkKi<PPXA3_mWIPw>rin6Y39#z`
zL~-yRGYxnirg-Z)QwF13EbP0DN)~AWV&t8J@&e40v=%dLPj@ETU!Q+CZ_rTH&bIT@
z%4d<5Y%vn2{y70?ABq0vOe_Iz()DH@d!zAx_b&`B;V6=9Tl{7m<@A)eqBe7CHkl<~
zKVogZlSP@D#N;5Ell(>wFVtvQHSo&jo~K^|2J&8~)(mlI!8tR4=>gbCAHbqK&XukL
zj*;sNW83?&jbLG_v;+edx2~g===F_r)%cV4fo>4DO%lD?wp*rqhN12p49Cd<NN@VD
zjLYvHKwa|Kc=8``sP1-(+LF5?@9$B?e^!at^4Kn3Tbu=kcwA-U6V~9F-5HL1y}H*<
z=yEb<l{YF7$RgOtUFiD*gzUauLlORC(ttqitxB)*$9$@%L9eq?YCP<oY4>(BsFjt4
z)1G?y#^+r;$M}-?EROMKx`wLZ56uF<A3ST~FDWHp>+c-}z4}M(+|~bl;V4RkIdDfy
zCwv<5EDWGg9ZDG)?WnXE$lru5OU36sv|WqaluKpC`ka{xsY}NhAh{`l<G!rweZE{T
zy-}1G=tZ#75?AIYH?xqR36LzF5P)@<;-7R(jT6sDYx600escG=efj-PEBO$=aM(C;
z==QSvCr<L$qsb*)fI%?$99#pWM}XGDyF;kG`1#mhX--!9-S4Ptv#1(|)U)H=3qi+L
z?pq)_uZI83!xWYhwj9ZZGq_c3%G1#!pY1o?<v%eL=w<0KKd=TjMKec)EA2EecnNpp
zwa3neF?4fs#Sn9DcrL$`h6F0di{^EB>L*F7!ca4u#FN~z3yaPN<pL{Uf}bwSuCsAe
zhs|dE3L9YJ+GXW=S}BcVEdF)ge!W>qOT+Wk1Jzc2P1*<dO!wcm?>^@5_~EHoBq#4`
z@=`sEglo4^8!VmpM7KWtSwCJk)z6)LXob<s^l@32Km5{!Zy@n`uiU21sS2!<#Lef@
zVoot|*e2jK(wCBod;jR#;T&_D_plJ#SW(tJ+>Y5s8e%AV62|Qn{w>6LrB_m1?hobD
zT7qbzOd`R%q8gC;N-6SbBi9GV7CfPgB(`#SHF?5I-x%YbMy{=ZV+s>ejE*L_>f2<n
z+8s93_(J<Oki%B%)QIqP)-Z!!72`E`<0kZWHe7d|{(@djT0s${KpG*^K+qqb*SbJ5
z$H7aUKcs*(7c%fuHD6utI_Y|*&OFR1$3(mlDfuc&SPrkO?N|42iMJiUvdgpla(|ep
zGRYP1B0WB5%}0hSr92Y|Pd1+?HPK==ElW%&QZV8Td+_^=9{RV`g{%MchyV7~4nw%T
zC~3(1fKG(6Xg9jptk#7SMvekf;6x7(#Rl%8`D(s^jjmbw2~DF`M03be+b>O|SgFBC
zud9ctW}Tan!+BcYHGT;FUD|lY>X$1(v|E^Q+v`z?a(swjX_NDgC$aD9-O@Roc2Bxy
zZq6QE>N%nj@xfQd(_$-|R&E<=2k!!Cl+GBO2`fMRI*O-~YjYip)_Qg~k8l1lqVs98
zNt$om;**+;s$BHn0jK<7d6)H2>GU+GHwLYLWz6oOBswY{aCcUCB$ns&)k<mK<s7!D
zF-{CYcT+dj4qik_`cBR?Eu_R51!jv58iIeka(k@U{_*hu)CkxsyY8%em*;9UTU<<o
z43!{(Cik<CaoxB(=>w`e8wI7GME7T82p0?|L30k3)d^bFq66O&hm+g|^&Lk^<|Ojh
zFKTWjogF~}r<)|R0j6;tNa8gU#WLMYZ3X|i!BKDtSwA+2NG>cpn>RcXl$!q@N#92C
ziBvV>yUE)y<HM=G8eh`fc<>(O>!r>0Rggdw4?RFwFDDE0B_u!qU$Qb#JYyfd3G4h=
zjK8+r>D)#){oW2e6<qJYOD0GwuR}|;)Bru%H7S1XVAMXFJZpmMq2c}I864FeE|24K
z!nT)1KED|!EKiPJ3MwTKS`Jb?|5mU<6zEtnoFMF;$!k$@$U{lHZkL`Wt{~%c)J_Z%
z2z37Ot7b(8L3t!x$Vsl)=yuaOfW0$3=h<e1sZ<Hgmw|WOvUtBw-Y&-uEp082kS+B!
zf<1|Rk?)Ty4&H2FG-iZI{g1PA4*^>7=Bu%cnlXUa8K3B4gS-TV?z5w_9a!}TUY$K#
z%;*e)S_gI|)i!oXMk-C0oa{UP66ePo4D)hQNtN)ibkJDroidK^%cPt4r4mS$D_Mgb
z&1rgTQGcdc>>hf(^|xy>GQoaUCFc|EUOu}uXxw+VbEyII&p)^AHX?R%71YQAL>!La
z?@bLbkmRPNwUMh6WvRzY_^sAWO=0fKylvM_wQzd7XUfCEr%F$2Y^^7Sjj5$%`8xCu
z^#0I-a5SHtTXZ!&w`wUXeS)*Onpc(hSR4Sn0wA8uh)c3!)^2vSf_-ROca!+LzB|2z
z?}EJS4^a%n4s8f9?#gU+z%-^plh?XTGMB@9M@#gc>4*#495e=)oN~)@23g*O4)dKZ
zj=tx&ym=!umfm9T4sHPP+2hlTN#$qq`Vq8;S&n0V<C?tGayT+m4OQnnvq_cnXGGW7
zC;p7=x<<^X<e>5?G<Rt5*aO@LHB8}q$5E*RBDc+Nq4rg$#r!#?Gy8&R(*iH0EslSR
z(tPIPd>ZIB)iq%3GCPupmP6#%FC2zN)BEK#mN}4zZb2!l#zAGH3GaOF7ZeUrX^|@k
z>!+PgWaKZ$veKJzg_c2&ssYc<5&Ha-m}Q}@=g*i?)+1&Sf}!WjuDcB2g2qLE-+}C(
z@#7pB#3Oi%fl@aKUfwimiY1-J=!UI=*L%;uYTv;3+RphrE}mcP{~FidJl>3(3>6O=
zk6>|Kt9mM}-u^pPJN^_$Aq4i0w%HH$UQzgyKLLZ=Va=F@R9bFb<Nj7mR`;*dYQ-FW
z#7l>fUvZb9#K3CqnE+jf>Al37=0fP#X!?L0Bl(dd%d)IeK+I*6sMv9S74~o!%K99)
z4oRyFQ9T#Gt~i}-BOhFBjM~Zrf?{p)VUf+lYayHWYrSxPe=a%Wt3-63XJEqf_>+t)
z2Vh;8?EkL3#^)s2Nct^t<%6Gb73{)X(An86A^gFJ<sG=ALF>09S486$JrU@pH3@m7
zstm4|ElkpXH-~FlD)p3=I-=21LwSqx)w8=|_e^W(QheU9c;9tMUhHs|0=?!r@AL<=
zp0?>xj;;MkVUu#1uGseW=nt{#K#BKkga?$HAAdzs{S4rWBhnje-RX%DXidob!4IT1
zQ~}MgF@R4=W5f6A!ENSHmV`n;nwuA<F<5nsmH8q4C_iV!#V1T4?BG!D^|DwRlNqfL
z4MSYZl*w7riqzR<S$m*cE!ERZ!dn&|k=|(~lYXbbIn7YlU#o}GfsOKZ2bP(5lhYSX
zr&W-rfZe=20t-u0EMybC;pl49_z){zYOp`le_D|}dT=jZ)L`a0Y0Y`#D6X_L$&7$3
z4JL&k)<+&hb_xLHR?x(?9qWct?f@*btew4wUqPV~u~Wo=tExWu%6o@geq*3fXW>NQ
zW<d|9Sw%u^vH(Q%=$<-gBHq#0?Wh5&!=ZRL-v(FfVDzQz%R(ZHx3LWLks1S3Qv@s?
z(x=;vw<9g2*e`!^i8tee8PWISgxrq5s@fvvMf2n(7a@CHa+q*Hik)BeoS)DD%&_z}
zhhhFCxeu0Jpu~`RVE9;4*@q~eQMU~?10RMcRNZ)OqGt=bASgc{y?_CQV@_2}G_tOC
z9ePYjC)GcY{_`BiHe#HHg!N#pNac(}L8YNJw=ug+e(Uv3qSE3)8)mh6|3Ipr<g){^
z(+RacRhn8|GG6{UjCZNMZQhm7i{%T~vTqK`ER$2|ziRe!2&us7`Sp4$&oMSB&wnTX
z&$B&#l~#%e*<~`67>L9#&*s};8?z4;f*b~d;Z%T_%{JRMFIljx4j@An^Tp!XJJ~jV
z$%U@wx;dT@pztEt9Sy$!g<FGd{@AX{Kf9YvCP*8<w{7J0H)?s@WTf(}33BK;Kgze^
z&t!Hx&J&Q${o3knQ+Iq|hqSvQt&qRLA^Vr0M+@)QU83pXXbF^A$n}JA%76y*&i6bH
z$=#VP_KverHzMa`7cVx-rG8&+k}3l98N|ZWH6y%rO4?=R%Pa|4p{KX!nOXfVne>c3
zhohEB<-voVtE{RypK#QD_jl85`O1Cu1GPXMG8G<2ZQ+~;vEWgHM2^#ZJr2s9j7@Xu
zb+$FHO_K*uNR^t1eE|4!yzPV@I!kp)`Z0i5-#t|ggGj^^#sg7maf-~JO7Qc-V;qZ!
zOL%Uz(@6kPvwFlO!|N2*A#_XFjYu;|uA8%sWp(}oR-tsb-;W_>Z93^=V0QEyb@bnu
z0&Awvg1Bk6cN8S=H@mda3(^jaA&oDMj*U-95dll{0f05{h$-lWU2wQsEOv^^PB<Fh
zymK_}f0ulK5>F(eM+X*@ssIG3w4hrdoagdH%~%J+@Fh`;{!Zu8{fK1l&ZXVnIb7io
zKBXwrnT=EWMd{n-5A9wmwf9>av=YC9(eVVxni{|RLoT?vAs@tf(8l+%l2egbfeyiX
zs(E)bxo>_IwYIgq8&7J!1Ve}z^&Rl*aMa}Mqa|ry9tNCK1$7dk2rv}UZrjC2{!V(<
z*kNCxPvg7Vwv|giyN~1uffKRiWR!C#k9OMPXc@crVLTIzT)0&bDjt{|M1#84;fn`u
z&M&IV;ogux3}Vi*qbTbpXdv_|m2vXITNodrDkuZK&VRrfZRG7@ZU;DQPr?P|z#Gsy
z`^yrNc|p6h;kM1_D{(0GzZ`%S9`7gOT&kIgREnI=W$pcaEbd>Fi+t!dbOH%M0qv2I
zyZH~f5L^+L>Pu(3^n$I$xi0ad&|4vO@Nz4l=5nN$HXPoId^#9fNt|{Ga?CRD|NO#~
zZ8G=@ZV=tye>?a>mC1gr!c;!^-tX&*=nen{K7`>xZmXIY?Xpu*1U0aF_!B=lZ!2ZX
zS-JgNn{r-&IJXL98hm_-|FrE|#xwtsU3p&mnj&ss47l3y@T*G+mxT^_*1zW}L(fn^
znL?gH(Mu4u-|^vk3sNzDL{R+?kfIQ#e#+M)zHPq02IVk3cbOQ%Kd4u<C*8ha@c<Jz
zN`%e+Fv${Wz#tE6X67G(#uU*BQ7fc3;;eUZp<QVGZA4+>#{9cqm;AKa48plXf>#CF
zp@;2Q#Lk{q+?WQ4>&K$rqb^FdLxxt(wpUyqq+tsvLl1i}tpv7}fay1<?T~qv2X<Ly
z*E=}Ab<aRwfbNNc1fOp!X_xF|fDtwt30lTfZ$u|7d6*VBsAziIKFOudwxz_t!;g<%
zG>vDIj95FA%zqram@dY+ZSs3qaPiZJNiI7VmQM;YBq~8Hm89{7=C-<OVKv1WKphdd
zFE98b2JIF76>{ebg(8241;^6eLWeg56hU4$LMZisYO)!>$!MGJ)e@|*u;%^mj10-T
zUARWQos}W8$KHz*yTDgqLETncZDGe1NqwPltgx1SmAhU<L6{lL{~<<NkP`1`CF9R=
z^Ha)_lPI3H<zh`_*XI7V#-iE2zIji#xuIihBQoSqpLq|&Ctw<D885Lg*TXwexK-C1
zzB4XpnV((;DaOsxSJo1ESpXd#OEwCDGq?y9;sAV@iLR|+6z&}162}?;j9AX8Z_|OO
zfmBntDFC7aK|bRZMM(Im#PN7S=x<)uKU1mhDw{l=aAgWZ54t|s4sozUe5S;+vGMbG
zxV_!mY*F=s;yZrS`=J5nc3~6bYMqn{@;#dU848X?w+U|qsKjxq{-5IBGpwngZ5O2q
z0i`P_O)!9TP?~f>ks?LuH6RL7Ls5FwC`vboARXzw_ZGTHla926E;XT-0NE?}zI%Uv
z&cA)m@ydk}*P69v=4o@^&ph+~X*p3_m)oxo`-8yzs+-QFT;CO`CREa_yLHQIQ;h~!
zI4n6sW!R#Zm&5aNFpy%N4JE=<mYFnc1qpR}5CAEp5W`0-!)ccY{k40BCBfrSN~h0^
zFt4%IrB%;`nrrgsMeq9Gc-^45<tu{5ZgqDFAed7_wgSm^tWZ)v1-H+hSFgLuwjd#)
zmpv7|>?uvXGrhnJAdJ=OqTh`V&IC}$ZlcX3G8fM1bPk8rlU=o$FE~msig=O?h3VE0
zj!qkTq#rLSMwd(8`D1i^GAiN@2V1h-3}I#RilEXqG_BMfUB*E<%59u>c)vdysAfl&
zbZyZ58jPyz6~Lu_m^-Gxzd@elKZH>Arxu3WI*3K&2j2%GnwF~*XKrZM4<y6Y^v(Lg
zQ>4>D4#AQ^VODG1M{Ls)fjxNG6HrRl%h$gPD2A&*$1N0?Tyxph>Utl}pu4?`HP-xR
zHE0F>8YzJjzblmHM|VtZwZ;`&%@ni=uTqw6y#%L!|EB{l`IiG*Mv0$1EF|?Hg2oDK
zP?jyab_(tO6*?8~z=0Sz20n1DeoIBVk?2sm(whxEoFW6>UhS6AC0tAccP8s1;E?&!
zaP3p{9612E%NGmww>9tnwZKxMKJF?+wb{;B^F}*p;Qo`k@g9DuO|Xt4#H6~MBWW{;
zl5OjS*^OMy2J+E?K$>Gt5hC@l^fwmOk@yP%+4;{64AWYeYU67%7kL}5uB08p50AYk
z{8!IqI-oB%{BqAOGeY2*t-K1qnE_#5Z*E7ziiDrbcQSJX$}xnRN14`MF&a64TYOGt
z<Rj%`b%>xG$Irtx^%Q(Ag!0epPy!r<D;I`L<Y-ym<ZfGJ7EKFf;}!4!z*=7~$L+L-
z)jECc=yuHwlZn<gLAgZRi&bAwNHQ-&aN?=0ApU*VFO?`SwNmRNhAf)sfn|>d%{ZY0
zhdE_Kz*y58%5!eS@SUJLRu{U&O*b!ZxJ(xq)i$YlcoBkl`Keox38*F<P>>{U|AtcF
zoU5ZM7J)vS2%c2HHaIXirjmE|L_a0sCJcFa%yFp?fL^@Bo1KH0^{@eF1(F0F<$E{d
zuUc`6P)M=1t;LFJNIW#6Ec`I6ZDl3A+-CmmJ)`!=VeqGz+fP3_@hD#1D!EHeJAAFF
z0!Um0T9Ln$ErPz;t7l@qgda#$QjMsp@71xmT;m}OAw~<exHSZ&ka$(-QMx`qdFh-)
zGN?&n?<q;FPxir3$q`mcSPg}>4X_pBbEwqL+b-=q2?a0a>0v#)v;2)(0=P!7>#}@L
zJzHO5$Z6nvuSXA}8)QBuD$S4=hRlrUm{89L5<XE{(`fR1ZUi&|KmB$oGUN;@ZSkH;
z(!>kl0t(PXhPGRiha2aqo_(Ux0B6Yd4nujjIOG}g{Qdse0D!gYrH%fUwkAoo8+#cj
z1YU9xSCoRLwP7zz6_1{(?lmNmmnhd$!1Z;G@LWTRpe_q(`gNsiA~(HA62@EGD*ann
z7dhB(pIxEoBtEXk4^AHBQftqb0DkeHc$XKbC&o|_Q$?6Y?kWz`kA{%Cr)Kb_Dh&!6
zQA?iDj`~rw`QEmm%m|=%KB4O~HD8NUNIzqPNMXb;i89<JjpAP@La`2gm#iC<$;Y@I
zwjAVaMk>P=qNIx~3_R~etfI#6b2L%3O>@i<X&5RU`^F!!bkLW_w6DzJU5;4hzeXJU
z9;xQo#MT78ioRgFvF~0y?Z6h&wk+a9)u9k9LjQtz#*Mur<Cj0)TL9{7a_KeXZy=xP
zKVUf4B}czE9apNS8m=luk&^54-gK5_*%cSTjU5hB>v51a6MM=LnBoYI<vz8T+fkS7
z&zaySX7uP^E8pZPMit|)y3)bQXt))V2<B@z$OLAoG*W~hpSr{>8FXN#b3vxfRC^aO
zZWbW~8r+JqRJ%}sQI%_8*a}TXn7iyX0Vn@@c~(!fd^Eivtqz>-{imFycq{Xqy}^UH
zl%s&8cFRb$!csV<LJ{ik0h-EtSyTMb@#9OfjzufGpc#t0a|H8+ZgC7u2Ldw}6Cy`{
zQns90p+SRfMYa#u)X8%c&&0wnL}qr6M9}lZr^A<15cO|9dE3T>355xf!U{m@M<{)o
z*Buw|@2gh#VVs#EimJg6mSvmg1=2v1RE^i#)O5~dXU@n<Elme&-u7GT9P0vyVxeLX
zWziS%|J6sE%P^pHP^^7;qBoCu;mXfIh6JMUcoNrp9W0mzL>?j#5h)xy!ZYJz@F0t5
z@ixu^)f~Cn;(c{<>dP{6HbjYHhSF1>K;|ONFW(4$C5N|{;*JVieL->71Mr=NpDSZ=
z3?5YbDS%HzTxN)!{vO6%3IAB1+7_EAjgEUNm}91TYkpm_B7`~)qG6-_^WhBDNnq|$
zSJR59ksCD(8RGS(dv8vHRXxmVpWg+m59A6=_+IRLpwQ{4mKg9g>5=WG6{peB6q>ey
zcI8_t;~(R{!p#M*9SKf8FYIj*vl<bGG~yS{#7)|OBm|zd0y#DZS=7Wi?U9DTKr*XF
zPVC-#*IVD3&S%Tj7~NW*2{tFF4X<zarrfrn(MjWfa{;P%bWR=8NOuFr-ntyE+>8zn
z84sDSpJ;liIh+Pyo@i;$)efD$<fQDZ9S+c)PgYO*azvv?yTB=M2WPoM!vh}n`&)Bu
z^eKO1!E30?bcTa3N^DYs1#f6-&FjhAZrnZRU*4zGsS7VskB`2dvYjTVkrD0ur=jQ#
zsR+daV}mEi)QfFFGdhqFV`zR9mw7QF;xLgp32(du-pK{0HmdSEM<}Y&6GbaJCG<uO
zc1rOIZvE1(#pQS5@fh#4Bf#vRTHL#IJMH?j)4{X|N?%Bj$HZN7bjY!lR~f0&4RS5W
z-4@{{+HYp0AHHnfKkl9Gh1RW3DKwwcpv=;4?jCtUTPB)`tggfMEZ4rwGT%}2FPWFw
zixSF8qTAb1wLj*{s(m{s&zt_BYvI0~K$hsB+Tud)h;#xF7F|>LrzAa^d@bEozBNwX
zWE}*qcaq$gMC#9E{jPoUqd&e2Q+Riphv=c<TneZ<l2tRs9K~&=)@YH^kw>AE$E_e!
zhqr9s1crkTio{YCL_0*}Z;UX$;7`tu0*QVeT}ss^T6`fCp1P~p+RMqMCQTmy14y$x
z`0~c>n_<m+0_Z(}k2HB*6jI9OB?FTcp_O9z`OpmB|3zud#HgOotp!#}YobmQMd;Bw
zCfp`Iw#TlYqR?C)=&My7*ZtwnA#Ni!bIubFS5w*TV8l{2V#I2i3NF&cBkWQpVmL!0
z=c>=i(|SdLwZQAk{D;$DOS`6;WQ23o)iWlwHpG}bw}H85JW9tJX>1GbG@*)u%i65T
zkbo+4D)#cIyCD(F^vz?#(dNwtHG!sD8x_FP%P5??f9y+XMgy_ZXI3!F^(RXz2g_Z6
zKA|pk_#jxOOKHz5?PjE}O;nf8gV{tq(m=|`D8o`QQVW<D>!u&WdQ^y){R3^N?DYjZ
z8kL7krfhK@UlVJ#hO2aCUQdT$B6ofL>~LLb&yl&G@3@Jo#efB~qBq9l#kj7i_0a+q
z9f8%=M=`v!&7&5p0hIo#a1zyr1D)4=3JvqG$wR(QuQU$_%#^dpN{SW~zE`4<jcW>s
z?!Rf-BO0A_C5d9EtZ5?3p_g#Ug$PKjG}}{}@NGV+b=#f=E6uK-pNDeg2`}xIWsSnC
zyJ%G29_^9V{rp6u?2yp$O@1~BZ~_1L@#g3(OY$cVPraFv+lFm}^649_SdBU7LK(HQ
zli>5DMx{lIdCDXKF->fnwS(^%t$M5x#xytz=jQCalV34PyS%@=0|TiHo!1vOVlo4s
zosMM}^?;z$H{8RuL+#*KhK0zMnHV)3@4y7j5AktU3f`BGG8!nefUNGh+!7)3@;$V7
zzad~wQTX8{Yi05KVeqdLkJON9>R>_B3f)Gzog+kCkS@m=5DHxxz2E`BSpOPeZbou~
z+$&H!3i~c{YU^(cN{-ze+Cxc8qPwg|n4&nBEar|r4c}Gmg8BJL$YZ;h&nq+lUm5++
zUy0yAsLyV7(IKKaib;UmS{`ZYCcG28wrrU2er7tz6>%3OayNxCBhjj7goceEfMBn|
zzlX-GfzbJ!Usb_S3)GtWaF4xRumyH}5603FleR_z<Ryw`3Aeq=@m=-3Z5Nn~O`V9e
zyZHr6;&M|Yb{A@%0>a#e`Obw-v(0(!FeV(y^<rYG$K{k?KY%9;%P3`jPz_1Fr%HUs
zox_tZ>)21}?Cs)pi1QY@2}m-yxXh71C{v<6esy^2aq@@Nx<a-oh9iY|o><X*EUjA6
zSrB$V_<pc9LeR6V5$zec<q&YC#)2xVm*WBB3&D;&#HhN*C&dTsE@zwq$5w+aT54o3
zx<W~9t2>r#zXqOEm;z<5?%xhr`K^OPBhUslk^oS~=kj`Sv$F~&H`0970$YK`dz_TF
zxF0#YqD$(qm>6()hS3y*n-!Vp=P%<^Vm+)0FfUaBF5yhO`m&w(8Wx*5!uSkuk$=&o
zpACO0-8WgX`F4cQry_)|A{!icEfev1Ic#u&l&0%pBh@!H(!G}P^QvNR!ejp0Es?te
zKa$Glf4iCbv9{e}I-;*_i*X(%`0j$!uM*`}AXK3{QCHvoDEjtfl})xqC!zE#pVm5N
zsGCQ$QMkj)o~+%Wd_t!Jf(_VQ=qzd3Q@Ge2iXKFNx&zOEn{AhhWp-atS5qHW%BvKQ
z8!dEFOAI`pB!l`lQ{%1qm4EBt+vlVrSG=fp4co_{+d~&(81vd?$nAhzuL<Nq8j^^!
zSZvMc7?kMfs4a!-pu9asbTv~nk}5d1z()Au<-zCi2*323lkrVd_ASSlRY~2ug-PBP
zy|i{^`_*Qj-r9kC=o2)=drT8eYMSbIh{+%nlt8kW$3I(sHyn0)q~uKO=v}=SHVov3
zwF!LULVcuq*Py>5NA}@^$SE|)og;w7h*WuXaS|@gXf2y=M$TWKXk#_COS;Mh#y$3+
zsJ80-VeqX2JD89>ZND*LX7HL2pcZpUUppmLc)j_bq-Bl97oEG{`!-d5pG7UGk|@JJ
zVN~Im5BiKk7g|qz9VCx-H|7}CR<E@AerkM7*ZgHgJ<PBLw<0L_M-uU;cV#?wed7ZB
z@mLgf_4VA>YD^P&Nxo&bjhTIGpIPsJ(3S(lT|`mJXD05?&(`S~XUh$>_L?SM(0@U5
zargx+Co!k~EqZ%s+lO!QdUyB?(OIVJzyjrA0zcg?0|EOhbM{FU$GPj-_nT#)`=8!)
zEC+k>x=05<50}013F)X63PHO-0f~FqqX<<5{+9eeE3(f0i8B3w?$}IU@nz53(*2my
zeMfRe8)|j|$fxn;M&8N`^E#F}LXF5N&p<V0m2hE#M+@j@ci(K-el=4i+R|lN%FUFU
zynpcUnhwA;{U}g_vp+tTL;YS47}*vKw~zmG<`TXm59|YJ4;IC<oJRo5d7PTOS#%}W
zsWxy(_LBnna?*k|d6Hr{CH%#%U%O|CLNgEcAK}?OD#xzeNF4w0fx?a#QL5@C+i+~i
z>JQD9)yaj%|7pAj^9nqyV$(b!>aF0Id2nw9J?Z{bdwjh|TJGk^&{1~5Kaz7KAtKnz
z)Z4j><^dQ%O0#|I`}o<p{7MYiPW5t??_+$PQxP`A20QUo{7KYU!%j4Rj_3|z4&LB+
zN(A&?;pzuxzw*EJ6T!%@y>&4@foS-Zw#3b2P;fuu>&Nf?{I&uRueCo%77787);awO
zMukx+Ti2gmL$&1+6Tr9EzWS-}`j<EbxVoaUI;V#4%;KM8a++Pu-k=JOIp*iwk!;4M
zBf!;hOKv%jkJ(@v*@O0{ds@{ocS;!+t~<H&hyxzalh|5q1WgOVR-u(RcvmzOV8;@u
z6o8K@c0F8px&L!Y`o-DZXu5XfQ#@VoA@dpbOtT+(C7W2ATP>*>pzECggVi(erOKLo
z=lsh{rv_0u;{u+I{g+RvBj(0-LBCoTUuAY$-!dFuxn(P?1vior;+}8&ig^hwyrVX3
zX^BTKN5gKU67AG*IDZ(bF#rlb_s8^-jV&15{;&l8R7I0bw3zOEAEP+o(6P$F64sLY
z?PCN!2&|iL{xG5><R{s-uWDq_mm}8ah)*S<z>Fn)8!k`vd)-srbfsIsscn_wOI!2A
z=in#>>DBBK^oidk2^y<CCqGr|22kU<nX$$o=7GR8Ofajapm4~~2nGsBzH`Y`_gPmM
z^wjOuOhn1^yMC2cHhV8E)!Rcqj4;>bl{H{fL@T^)z)wk1<n5-rqGo{1F|HsoUNJ(P
zXV>lrJFtL;>NkSb%810eh59_+9e;!dv~%kkvvB^>lDV>#4CejjTSYt*mJ+^}C)S}$
ztkV~}A}?XP#!tZTzu8f>_IC<Q09a|Ex0hb%BJAhmi>-d?mbEn%rFbfis&hl!xb5kD
zG)^88ha4#)t2JK3LD6&VOS$W?sK5fA7?>G|k+kj(h%@vxIe8mJuN<8jM3aWZ_|;>B
zM~s9VE00(7x8q(tHcaiD4iyr3WVQ|Br#L0JrKCv1@JNJ~gq8%<A!3!ialV*T&YxV|
ztU36U`y?PGCv{sd*?rwmUykE!#c=htVEJ+BUTW=X^j>zB-6_@ZQWyeW>yXOOTxS1f
zBGnUuse4c67B1R!J~1{m2U+)_R-~{UQ=gkFgJ?sPPNoqZayc#4-bJGDAwS=U2syb|
z@FmK!&WoasglrZjh5eVHiAGoJ?hESQ)SGqff;<sD)p5Kb?rQPa>F@o5wc`V2QxCLc
z{HOFen^-ON>fX%k`$m;WHUTj5os{eNK=1u8^gEKj#rnb5=^M>kh@Pu%6CQpXR#)YD
zSg*UdgWEdzT|=DdU%F6}9A-Lf!okrLw}&R%CX-jdCj2qi4o6<}XFXrT5xGAf{@^<&
z1?^4kmtLjbx(cZvVp65^Pzxq0PAs$Bc7Q3x7cy}ZsxGpW_-DP*wTxIqx+A;;i^V+>
zFa;O^<$7!WGHwu5J-D)9-=*l>b8})u(z<m9LI_QUM<x@UiLzk?!O@3tfugzH_KQ+Z
z2X-S8!U_TH!=Gi$loR~Y_h-6n`;A17Y~V}XSzo6aS>3jU6V3ay;hA3$6!`d#gYjwj
zSd~9!7+v7O9s6rqzl93D=uBqu;f=0pP0-61?}@>fsk~@zL^AA22v<@2%HVfo%aR=9
zncGhKD(gePH!URvelHW-n+z)N6bbwu(=@_32#82G8<-*rX2#}l%2{f@=kUrF5!&x`
z@UP3o+e^@`nCNINmA6$%2*+ikEf(9`WmWbUNhjxF)N<%g&-}9lInEyu6{wB~e<TH}
z2v|j#t~9xqT1SKJa*gnasPrp0KM0kB>_SqTU3Z(I#7FIBCW+)@3bQj!RfX#@Ei&y~
z&=B2ii2L7OAmhIqM7j4h-67(E7*`Ph!#7E5#t^H*^H|wsG}+Z-V9!ma+=u$y1Lg*p
ze1$gu{Iw0)Z!GPKyx7+iEjoG4zZk2=uBocpo0S|S&gWnYx!>TxyLlD!{A9U>wI&Ip
z16LY`1TbTMTe21uEmjWM_GQP6G#mPISosy5`wl30J3^8n)Lr)I-r!y}wL>Ej&m6b5
z<mF7i389)4>9yAP!WKhM0ot^vzYq^?Cd0YjI$UUbVS4hP#A`R*7*2%^t{L6M@tf_Z
zy0r2Fb&^p(qS_zZDxt>^*cT1G^Y^s|Zx=y_!2>O(7A94z`a%BazialMfA7r@>1YiP
z!r@}}5Dmzb@BS@jU3g|kBPQhe!KnD#MJ=^JlIXAThWy!C^x6I3LNjme0Qu=mg*sAT
zrQ@EE>|32|UFDwSaXM25)fWD({j2z-?&JM)`fir-J}C}@;m7v}vHBFqE9%zRE-_JY
z0L67s;K$=XA%$o3;Ts_@ubR~hCN)-m*5bv8VPsUXi+XX>igwK7No-||$G7|rPqkD8
z?T)uRHdd*?%d_UoOWAXC+fM>^2zuAnct=Kb6UtT{Ou@?+F}lYDig^yBM+Nl?1dbQK
z^7XM_+)QQM3+8<Pp0vc5xokT{H$%JH>I}Ih-N$QPty5~PTT<kGeAIo>hwDrF=2^44
z#|nU89W9c!``OieaEF-H`Sp!a53U(kt+u5^oH8C>m{K&rv!iAka<Ov;3l`<C-#2(7
zGmdKPeih%p(RXfv6g=xazdz{fjGXpWIe)8<=CG^t6I4|9@o7dbd|#Cpv7Voic|KVK
zsG8@1k=N;y8uN>eJA12rXyjf(jO5=`F%QXKJ;g_TvPZqd4-90w?Q*C=cI811&!ybd
z@9mVYDaZnA9;!xEmOm7I6FXrDNsfh^>2KKd86DT{#Z)%F*2_Z|Hv~$|d;9qO8bQl7
zC$36*JHWGf2r@Igs*g=M)P{dry#rw7x2oFgW<c5_PosyJ3zc|zrOO}i-$ZgAg=>sY
ziKvJz-Yt#jsNeQy%!FR0EQwWzeR#heQap`XYPmWOQoF^Ob@9e8L8K%pbFaSp@SZib
zWvf{l<FBPq^^quH>A#!ZyZ$5Ka}_vu2zYrv&{iOclJYOvuRwqAK3K@=exW^I5UlcO
zeB#3DX&p8MK{f&$+OlIWeE-GOCUD2y&=j`6JZd-yoZB!waniRloYZ|y181Pu@PmK;
zwvRz-eYVw%oZRw+bBZS-w|G}LC_|<788G~>Itv1s<G{-^o%aV@GEU9ZYr?&u57wIK
zCzC7pe*;!d#Jbh&^tOPjF<+oVmHZY<LGohd2-#nDeff-0!vx~Bovh~Jo!CjbVerXI
zcs9g%F*0+ln73!GB(~vu*%Rooyc{Dn-M}jU5sTkIjKe+<iIKQnh8GXBjEv(psTuum
zUA%oSK3zD&c-lh77<fY^nWRSw<tnum=kkl#W!-STQWsUh{$4lgz3ysj9#XQ7zo=om
z&bIH`vYR&}d`S;w&?fBh3w%a8+%N+3&Nx*!6_VdS>n*^}`C?8KRN+g?h(YoZwl`l)
z8H$Xl+5C1wJ42F=iou#k+9*EM%`}A$_*^_fq1fkbU--N2W#B(?kB5in5m7+d>ieLz
ztPHrQDemm|UR*W((K-5otub_W>KiDDXoh`3EhS{%cNzRWV6bm*WsJgRs4rzXj4|Sm
zILEmHP-}JBE1V15)AHu%8!oF}Tc+E7RcdSB*bPP6A{@mBO+|RNd%kPw@-3feB1^@N
znM|bB>`wue5bn?&%g<v+sm}<9ao|@-Uz-%q=S2Z<aKt00eqk=PJDnL(^7S&M<bWxO
zdYUM)r4S;?Y3J`U)E!Lyac~V1gbRK{TX@F0U-(W#>%%UKYU;<A_jEp9Xt&;U5ZKI^
z-}{>p)vV$*wZSa2UAx%*QHIUVNgQx_3|>xv$BAIuHWE8y^IrNQ0|$FcVtz)-Z2x6x
zfoF2e;~D6@cC7{$ArnFt%ASviC$~??pQ_IP(ANpz7m37#tt{(EGiu$h1AGWr&B^6*
zmhE_x4(0Cpf7NMfkagC&%}Uu}#|%$ZcB4z$&6uaq!(-<v(s<K0eEY$&8tR^E%hfo?
zYdtH!CB+4@yY5N#pHN@2j6qNFn+zU)%S4o8>RpskuT*g)j8NhdSx`ZVz-21Aeaa>0
z4O7?UAcadlJWUm81{Q6CU)kReL(}$|1RxZ0{_QNeVDVQ#H|t!g0Nlrb8~<RPgj;jN
z%K(worC5I-EECcJRS;>W7V;zVx(e@3J7b<ifsXaim=BknmIKe_c8gD$ATt*F#@TKq
zC`FIn-vo*^G1VNUasWn!+aW4{SCj02oB#1D+KfC${@zm_V5R^I&ie1pvyE>EBb2w)
ziLmQp)6R8sF*Yx2RZO<%POn7t*PyMmz!Ms>e~%LXcf(if1EHwvH4mIfF_wOh<067%
zr-^mvD+Up3?-_sKsh9|nfBmrIY&Gr8@d<{6#PwY6dilkF&65Ct3jM!ykwAxE;7yns
zT(1Kkmxw)5Nv1s4O~)Cwvwp@mQpA5b!W_Hb8G|0TvwpbzokkKK-Ne5=T;=XR!WH-`
zrt}@}P4U0Yr2Rz#>^Hi+CPD}Q8kb+~VD~P$Rs6s1eEqk*9Qb-G9si8W%ZJIu?Q4mn
zGh4-+rYe2o1dQ+9vOL{iJ8x%=0!J_ix18<P9;Z-w0-0vdW%v5-lRZt661}-C^`A%m
zd&>XapLQe~A7u!D#F7fz!EK*|F~b}pGNLEMP_lS=|I^8ol$71lD?Dlr-+^z#{ztQt
zWXF#ZvPXh*f(shz>xG)P>o+d$_06jdn{)>{sKY;++Ff>Ue0tiK1E`R2&(bqZ2B=o?
z0N=Vv`OBUNy9A5a>@|6WlqH#^MPMMV+_=KVNv@AW{l6_F0^_#PD5eP^5YilZ)6(4B
z+=CyTq9TK0GjAf`%+^dZAz&jXGgN>}?cV3;%6O8QkJ>?M!}e!2*<icc6Y4i=8_7VU
zSp*|F+UVV~2Wk{PfaBKqCg4pQKZ-=QoCwy;>~_y=zZ@?#Rv<nk@W8jmNUi-9UU|5O
zOn_&m+mPZXw-(sViB!!UKDX0%11gCQM5WqZv$Mp{<NCj84w57UtGSsLB`>?3v>v;n
zIl?Z9M&(O+cmxNVc1A^wO(Dm|4$RJ^oL+O{ZymjQDNmeg@M{FaV&=vUxOh?P(}iv|
z<r|k9-#@D0Wmk-*!lvJcmMIna4cyc1Ts!{}eN|T#F2?!l^Q^#-X;Dp$B-V40|G)PD
z;&p4Sev!Y#L5k>0<`)4qc+RjGm*$A%_*8248u!j(hBDJ-=KU4?l|#;rJ6)i5*7x8d
z%G1+Rwzc(jqDgkC9G^fq7^*qKfGXyo0xD#vJ!c)bl;*A|cAOOEUMVs?gstB0-~y;-
zBdwUHSMQo@jjtu3*LSH3@d|+fKm)c!;kU%spP>EGzBNSga=wRGLf8Y2Kd8YsNzb-V
zH%eM;jfn9|RGIMdQcxru#tS`(6e0ozo_)`#VZTe9Y3K7>Q*!oA_wOfw*hT%Ru=Ol5
zt8=r0gULoG&)w?G<_=a8p#d*`631j##pA}m0yqy~NQ?G{#WZsTy1qezio&MCD%FO4
z>@Lnu&KtI>r(4zFEW~Hw(MiX0F0J|c1=Zq!t#;T2rW$yW|MxzXT7Srmu0s|>9(=PI
z4Lh2wJzr0!$|qKt^2g`ekbK3f9eiAwnJAUOnKXsefJnPjA(ixuRm5ZR2Q%C3j`(wi
z&gttlQMaaCq;1lU<}LZu7S0M7z1~G12Lw`f$CI!S`$--`K(b^41X_gE`6Hez7zq>!
zN*Wc*)LT)MbeYkk2LF1btvJ=;VEhmlL#~#Ort-;Dw!Oo*Do4lnWTO*1RC_*!e=BKM
zcB=F`^ic&u;%(PWQorV&vSN~Ky#sbg&N-!13a~d9KT_lF_w&Htoe4ZR^wzl%uPtw3
z9;Zbukf3v{aRpaoCOImFxV)Z}Yw>tV{&dm~`ivNYp*<;NHIL^ErwMAK#^`HDf<dlH
zLQ2cq-9e1jiTwFpOw=>feuR_kUaaX06aTfTQ*eSo8oH;FoeGTKpQ`SUzj)_)98u|&
zIJQQDj(;a{0(sL|(shxz*es8ly%s5Xqc#Qb8C6N2E-h}+`=s}VfD)I1N{!F_s5pl7
zmbg%T52I9Xu~7!Qot+)&V-I=2L4=V60mGJshQWaZ7Y)`!{}BXnN98R09YLpkWU$DQ
zbAZs$`iDZT-1Qg&UC`d)+#@e=09WZ(9YVjm2Z4WNgd=_J&h|)9S5dT<q%M*e+O|7;
z5ssvOpG6Kj_+fng?JvS3_@2o4v&970A>P9}TL#uF8@s!#&CPjIih?UZy5x;?5NZO*
zmBaLlgH6sPv_2vRwt*3Gkw0K$VgBnaUhtj5g8T@mNUc-l|7_-hdEKzCrXBCb@Uu}R
z*z$LzQQ}nl)xnZ;(Zpwc|3k+ggXau9d*zRdg@`4tr0_E>=8S5q2c!+`w16BFu<k`h
z(%x*QG<1n4&5Rx*b1GqltbaP{Sd4#r@+&P=SRfZEPpS4B6ULstt9kT_ZLVacTD#|<
z=t9Wz-G6=AwVwxibVfO}boNE3Pd6bYN@Dkub&~7(t%3{a()rwoN`*0AEDiw=aRQ<~
z*V65eUbMZ?2LZ*B9&P(Y@-tb-nI#qk3tF?xA}nC`GrhT~Mw_GFW*WIZO$=UgRs4_0
zZb6$!&>!mp<Y2rq^|@w)TOfCVL4m&wvWHF7@w8Yl0?gOb%OGV*Gf-gM5B545tooij
zEiYH&KOqqXiTXcp`4S~+P?BUuaYi;jbiryTs}R7$Xq@=;)l|sD*kme~if-sCiG0K_
z?@>3%Odx9&eLgdNwi=V_i?Z0g+O$?9;)oiHcSk|B=-?}&qi(M@8_1dTf7@s|?g=;q
zM15S4S3D;{Ux7UyD_@j_jM;b;qix<?hGF=5xi)#Xt+7fY?>zU65@tX7;}H~yooH4p
zHG|*VZ}!q<_#^(lyO`EVVwjPwfi_5s_7&V$sYrMb^;PG<G?RX3Tm!?#a3p7ByJ^C`
z9BBx>Sb;^0X$AxJjj5OYfAV-?bNi@g2iK8%jKOyL{!#r~$kP7B3G2%sXCqTZUkQj-
zD^7!;#M5;7z-HkK(&J|{3Z%zZT$uX>Eyh(PU8Gz{f%8{)DJx!$5IUOLhEKnkHo1t$
znk9ejg@*@b)wVIBx}>r9lBJ@2L3`*MYcCtC1U{poq|M5z;}Y&so<05-`pF)=vFK;=
zw6c?{`k7%a$a)ZN#gDC)RO+KnIyN!?kl#IZL-02@FdDo$e`ytf*y%Whc>7a{Fd;MT
zO31kg#|~B-w#GbF^?)O<*2OgY5di^fg4&~pdfxO-4I7)jjRVciGpp-?hK}?|b}le`
z*jd?t{NEYxv+{>XtxnUWK^QMZG1tr@HSsHymXh0nPa6Z<SoNTPz=P(v{J9D{#_~Pn
zy$RdW!GfPs2HH~+yN|Z_HbA<Xc>ipF2~dr*3DaalkIm2a)`*$-2?LZ=L*<_ug*#gF
zjeS+~^KbcFc1lJ=1_Rs39RPrsY}9ql%HZJ6>7Q?5d|Qh_xCrZWRu|gzA8%>r&vth|
z@44=XOEjx=8yfH?<{dyATV+d3Zn2h_$hS7w@(=_0kMQwV_^807;cH%BNdxN^uEvMV
z(*CTGhePd@D1AYq$X?PYfF0>+|GRkZoeA(f6;Pj6$8`8Iq9*7)sOL{n@FM7Xa|1na
zoEXj2@bQJMfwujGuX)mjg5IjQ4$ze$f@6j%#`l*Fxf5?k9Z~_9_j;#(bi|5tKid$F
zHMaY-K$FPBNwD(UnRIhh#yw3%L3CaP^zL8={Z4iMRauZ9tC!(S^?j>=m8TL_9bICQ
znvbjIrAj=`k;fM{e0zM7a00TcT2jCm4o?l@pP_7h2SpDH?N`}~3`>RPmf;3>{Ou$B
zy@flEoPu^porLT}x)jfYMT&@EyyW(OXru}Tn3TQQl0SLgw)o{gz=KK6C?}Ybv^z&a
z+x;zyYGZ#Xx#EcXUjGgd!ysWN;XqiOc>u?2^+y%Zv1gn0-yGr*a`#-NT*Vn0sqpAe
zy>P^yeRzz%`!+>m!~*V{0!iboBZzYRmD|34f&3_SOW`)z()VlZi&#gL46L)_HdrKw
zxP_qEGzX`X+O4=)wE7x#wXG>p^%cdtXE0vw;>f@YR?O3gT8k@GgxlOt4a*)n2TEeD
zpj_HsIE`JO!!aSr78|9vnqaB#ol$HkHzj@di`7^6QL2_VMQoW~;6pfIbbM^++gM8b
z8x4rCjN!VRvTmtR<dgV;d02im*~Ejc3Yh(T!9uEbp=;q_w}0H&gOcKz_{UK=c3qxG
z{$Ne_z+(L@8HUxNJTHY?H4szl8SROilD<ufJ8x%*yh=ZdKDXDN2THm84p(-w4!3i^
zO5QVDvC)wjXwGb1;vqi2%IUj|EzI|+^2L{;8!oK?Y(r-Hj;xi%m@%w-2~BW8vQJO<
zG>V4rt}Xov>ik*%v$mw7k>Eihji44fxc6+~_tAz}k=S<0AO)h5PWc>yX?pl)<@tsk
zFUTFe>|)L&BrPI@d?GC+T|O$f%XEn!_IPxFD1f3-wKg>n{Iu0Y%qnvB73n!nG52CN
z&P9+dqO34&_xwR9My}xcqGj@grB{RqJ5=ITPav^2ZSjPg(oE`|q(Llb#7K|%@p0Wx
z3-8&thxn2FzxWwGbz-)>E)rNvd=uPFH-KKJmA=sV^T~y+AZVwZC2U;VmbN+2m)i3-
z@XT9()Z1Bu0Quf*335h#ou_&k{f2e`I!ewOc=v60+^t@oj*X@plA_~}fN)C!<!#A@
zA;*ZLk`;&3<B?YYHKH&goFPpj33vE`E=C+6+$?XpNJIqEig2@Sh$di9YGIhYedG>M
z;0@nHVDH{@%T^b%d!OXhrMexS{5@8Fb*Ifc)2MYi{OlnAsJ^9D%9oz5^`Oh>CxQ+Q
z!emJ=wvaq68o`ym3(zK}U*DJEsh%$SU?d#rFaKMK{c_YY55~<aQ-W^VjmMH~THbG+
zPB=SAm|0;;B=UC+4+*NFr>g^rkRHF;X2OXE84do7*n4LA-YeWGIJIM|L<cL|MU(HZ
zi)w=Xn(9G_yH0bFcF%BZ<2=I3oF8&|Z^pd+_v&vOzelTjhYrXQHA~!Uod%$Rq8>=e
zXQxP4lTD<yD_klysmM^!^rf<a_O=1@HGwQC;|9Z-qvZT8`h`P_@iT13qg*qKA)CIM
z?lNlUjDJh&VV}i&N_5NN_+kH!a*71ajlbb+^>y0BwM#oy_p;h{OGLVI#!}4w@ODD7
zPwx|27aaOaZ6}&%AlqG$nfXBK_ZAv@$6}%EIjY;~Fb=Pf15aAPY8&tAFlEOl-?*`F
z2t$Yr3AO2Nyz^m_VxP=U8<f|(kvNr=rl}Nf{pNbQn=lT!;O&ad+8Jb~zv1cgF1qwo
z)P;oDG@6&APXQ<{LO(x*iG}5N6_Br*p^;?WT}&m#WhK%VAQ<fQ4s5-vAvj9xW}wVO
z%aj4E&M1zy7}*ay(I<P}I!oH9C^gsu{q4bE)jXk(Xec<mwlA*-+2}!-p&ly5u07~a
z>Z9?MZ;soj>_M9jb%{oXq77;IJ~*5_^FtHOnN$g5oioKx$EGAcltxdRBd8Oo-Nh9m
z(AXgh($atCM_L$iz4jsfRt-@=%!cm9Tfc|Mip7i7yyU_M;@c1{uOwOYo-6VdVjKp8
z6j=-Zs9mpoMv6|kHo$Lsw;*|EZwGo+)==a^J1=#K_2<E$Uz!#YO1JXfspj2LSQ#Xv
z^Yk!m%YX*n<W1Z}ed5qW$`PE5_O;T-+JZpyflwOvFMg!xD%hiab(Cn^!AxA&=e_eh
zy@4D0gn=J_B~=!2FEqG`vi(Wh+MV2v(Vsrb-ev7!W~?d659KdVpDXV)DtM)^fxYU&
z@=uW84nNdmn|6Mw%-55O4Y~>Y5J%UR@#oJS6t9b7#08g9mi^&fANiY=rp4$K@lzYM
z1_zLSK^#G1hiDgFzIFv^nlt~WmS^ugrPJ%(4VB<U4Be@Us>5<@*g>fEnZShuxqbs9
zaY@)>6o($W?P{P|>oIZD1x<cVg@hqJ9Lm-9&cc@#9ul`aRhfXAm6-6%klu2RbQ&lw
zgQgt;)pp%@F+QO&KZH9DAqDhMxf2rT(1wN5ixyR-S7qg$Fz>R8N4Q6Ao}3y4EkzMb
zJj*Zs6g-^XwB3gkR7Y{?DdxZ)xYD;BEt<Mc$GJP<gq$}zDuq3}%Ct5Sm#NQy)FwH)
z=1eEP_T`G@`?H?k+m|%CVr;LVqVPfe@p7K)G#J%cyVdv3wIb78Jw7z;Te6$eoUt`d
zaTS&PH23*aAb2q78tjI=iTu-KWK!BfKY?qm#Yx-q$Vz6zI~;ggDKR>m*qwLhx^9b5
zWY=-Tw(^Au<adV`u_i`~P>Ad>4IV8-3;&fvm#wS{>RAze+ocwC^!)o^_2~gS!p5nq
zR^K^EQu1}8{@nN}n=P_rePU1VMhLU!@r7W<vF}u<#-eCGqbEKv0V?rvh{n?8W7c~N
z37WIC8eq|zd2y=06yD*SmE0b1J=N9`tFf22GZbEn=gMg|w}$ZCFz)5krnYwlCQ4q3
zsPLQ9UHNV;GhDyBwWFbJxcA$I*Ii`R$XBCUob2pJ3Nu}k-+hiaaOTF$D^C7ov0n0q
zIkQq}A?jQ{2M(eR1BNq&XL<r7w<^y|Cbw7Ko%_<RG;Z^NyM<pJbdHth8QCmVYu?cd
zZy}eZ$LeXfKL;l!yl{=#`iJg~^BdpG89K}ObC$>(!N}PpU7e_#)Bn9NrP1fJI;o|g
z@$mNcmF|I+IRE0VW*fT3S;Rc-LvA_gZ-ZqE<Ho9$Iw$VdhSGtu?xil|4|@ntaiGND
z2F3c|d_rnhdNK+6*bKK0c2~;P(aIAz)$di@R`w{G$cCW|L85{=hgC=#FTUy%(0u({
z-R}X5Onj^6dO*bund^;P0^x@$<Av3N3A!g->)NJYP98bpHY65+sB_q-cnBv8fGt8s
zv`A*b(r<xZFP0~vulx?W48QsH(uEz|Fq9_q;yhYa27yvlZt43Ag`pF50?W!xB%;ns
zc)+6`U_E`0Rg3T2;y#kAJJQ%wx6}f5Cv?XFlDk<!T{ZstiFLAnKTu&`GN3pm+bYM5
zWrA@ZJ?ek_YLA1uzF-0SsO>A&ShJSuI*#tx7iEZW(1W)jxdfg9+xObU?K*d7R()Dj
zgI&(kcPmB<=`jAN61^L*`DwF>36Gi5ef)_q*OeAd`8C63B$_4fYu5r&RCx<P&@vBN
zt#_K{?qExO+FZ^2A|gtLcJ!0|3XYJ&=0<XMb&zN6d<S$f{hPvY8a^IL9`KhVE<HvM
zUE?Kw4shv}A1(a>$&DAwSGw(wZmqncbUwddpsn_W%daGJxA#M%)?A3mB6Xa?vb>?;
zV?aw&h?5@gcrFQ{sCV|rOl1S)AJl7F6<DqwUp$&MaF9+Y6`3o8L6j6#AGJh^od1#}
zSKGLb=mD<fO(_Rg==;@NuFeGS18|xNyDSsZcGOAV_;_QmFy(c@QGKmt;b+(bS;7DY
z<Y4w;+v_n8=TZfYE9c+G;dwFyx{IrFAhj+=a{Veh{f7Bcv1aO}Q{b3z^eD<`OK2&!
z2HZ8JnXCFC`X_ev_ykFD`gT|T4d=62-ozDoL!Oj9_aPxC5iNt*nb&Ny_UEw96M{MY
zoY|Lrduu}ZBgIo6VI<qLh4PPks&|@v>O<uD0?8bQEjQP8&QosSMF>uCIoiqwtuiU6
zBVsQ<XGP@6w#`P89J9AsuY1zp=t*EcIv0*$w3rIhX)*y9IGX)_VfN?Em6nX>{zgu8
z=}N9rZx&8%uSYNDLOM@UB)SLriC4P^bGnbtK_Da}2sre9{1E%Q_|MLH32bk$*Kopl
z)-uU4xG87q)BLaF0D(^2KtJDFZ>2<MrzGg;klaAK(01?IgnD(3zEkMS7C)a-=S$`V
zkO{rdB2f<NT;6(1A19p&w{V>MVtjj{Ha#;WwSvwq1(utR^MzkU$m|4VmZmm!tpl4L
z|DK~gI?!z_ot$uAOr2afHa?5H9)8Vg0OfdQ0-6LYO~?Y%1j8mW`qxqV?Bnr!iOXGo
zzUo9I(lrx51|YM9x^d;Te!Yb)-q(ANW`JT6M-nYYe_EY7%AOVDhQtp&=~q5EA55K_
zZ@Q~Q`2VTH)!O?q#y(!`8olW|V%A4*`svcgf$f@h^_7U0N3U#2aDr`gQL8YRZu5E#
zvlp?8lvQxy`r`qQ40vH)N~9I%{IjzkV54u94OCtqMY5E?-QK=J)z|64Q&m8;!DabG
zSIu$mX>Mj;w)AAE&iS#33x9hYiuLb7$QZiSGiYKpQZ8BKF=Dw+f>;fsRLjUKq9AG0
zM6skb6JkK$I7kPNz|FnH+D{PP2f6p#xO4Hquy2WC*SJ#B%PoznzUvha5}_jW=$aNm
zv1LuJxW&Rca(0;Scfm@-uLSb^o=F+GV8a@M0H&IfPi2zUV)Lhh{Gal|ehnUkEIf$d
zc*+hhUm3kNcEM4NRg2lduf_oeCT>ni^@pt5Vs}=}ZCSo#iJf0OOgyw~n%cqMq}DBR
z6Q1aN|C7wwL%n=lK7?AwY|T)ZkdlMf;EfRQz7~d}ejtn2xYJcu-JHSLLJRQ+ze&)(
z`CTmypXGu0q=?(Af@EnT!4XpQ-PcutgV1bnO*6dW>%s##B-O!F^<g4iEadN~k09CH
z=<R{V3hNdhcQ3S|OW}3BfL0x_#?qi82Oh`3uSAE<VUK?8t6T%A{qUq`iw%V7q#sjQ
zMNaSs-7)rmmPh9z6RY0nGeVifGTqd+t`8eiYv?D}57MTEH+j<0#Z~2#-;bbcq{;R^
zmQJ5?yY2!UT*mi#U|tKOv@y~0ZHxSKa}Fpry@t>|S1-kbuT>^tEM})7VN)_1D>4e2
z<Apu&Xwj@?=Lb#f6DsLr8eX4;#q`~P<xy>Of=#g?wORh)_PbhB%I=`KK4%zO-Jq$F
zNs2W7_sb-jfFU>?Un{dWWx9zcDMog_-f<>va7B+VbtAb3KL={?T-o}-Jr`gh;*<!S
zoP?52#oSl0t-XXUfb|gXHaA$W`qs9hy+|v6kwO<O-$-h9fIdL%!1W9p3UoC9zKZoa
zvPG=$nW_oW|C@+l`xn@wf8jh_MG8-J0uK=^`$xt7d*c5GKgC`e5PDwoq+uQH*)vWo
z>Gvhy*^=pVt#oi|t_Fa*#9<dQJV#lSqYi`V^Oul)<Qf)#OPujh<`dQW(n(?e1UE;A
z<nyBb2@j`IR+pO?l2W=_>SG3xYOU1I2wH?VVx$cD9`Ofp!>Qx<wwEcP0)Yh~8_~+B
z9hRyM88Tf(ds#ULC{z74sIqgS-HFBex{I%^(nTVJ(dfKr$Vk11{9~#+NgK`WEFscR
zs?I>DETN;(Z}fNR^XI6v8;h@P8+l=mFm^DKi^PRg1(OUX$<nJ*1)X>|2z);F$trO!
z$+0r=Yj7g}1efiOSHb?`+kA>CPPBN!73_0WBv_|Njx?UR25Iu!Q{F|Yly@E-_WbPZ
zWU_>jX+%k2D_k-T6P9~M-vzm?w`ZX6){mQ`RR+#KbU9(e(n1<PS%!nlo?;|y&1F(K
zxxFSdyJ@#Kyh*W)9p}^4QrioYP?PB|;*xVp<9@$TX_Fp{Gu2xQ)w9wJ0A+U{kHiDw
zV_Z!jM96kWw(E>0J>SVqzu_FD?@EAvaZu+cJXn=T;s=X<=}l-vbw+Y5lAMZuBWtDg
zJC&H9JjxwHxC!*yV9fJHgg<>yPS7eyKa?QD8p}>#j_3xtM;G4)LlsnW?HwP>Ok|HM
zS)NSNq3)u#nWo<(6rP>oY>Lb(`UYSRbRe8&IU2zc>y^UyxVrq^lO=q+BzRV<t9)j6
zCvq6DbB~V$Qd1lZD}PQYMoz4s6EHnFwwSvab-?1nRr(~Nx@fM2x^q%XcoNckxN{yt
ziiL)w$*M)TVH?z#7h&hpq87K16{&yd<^%j$YipGMW7)2S`dn`$doEkEtZvzDHch-<
zd2UlY+x~V+kQ1y?P^G&g9T9z%UwWKZe@g@5<cgdwsK$vnBLOt~&CH>-5@+tXXgSQH
zVs#|XA*R!VnWJvvZ^}!PCL02@@N2BB3ssRJW{w8y_`DQ1Rf~ID=Tu}-bJmmy84Iu|
zHqY7CZ8##f<XK0?2)a8>*9CTW_`6d^LV7`EgNzi1wnrEl%}7aJ$(6Gk3$HyJ?}KzD
zmtxjadB7bNPPj*^SEDu*W$`iwY`@LF+bVPOZx~iy?Nv&DL{RU-VUAJLi!y%a68(et
zx^SKO#E6N<Mnf0VW#}RCQ(%?Es+{ZQ2Z~oyJqE+P#XPz7ma-7c1*e(>DG}%8kADng
zdbkN_Oud@0@{x@bQmR@iuZ3z+UiLC-i^Gz!&3~O!*7@T3%+aY?sz>pkkBWga0ar^O
zZdTkZ;L$oNqV@dJWSy!#HYxdC{fAh|*v7XO`6ybt(<(lw%-htdI(C}kRZ3T6Tu?s<
z^ixRb)wvn!TA5P=^2CF#ae8UMRzgI=IaM{caNuwZ>x(jl{hBY_a))Kw7eQW#WyJ1C
zaGlM1(9Pd+dJ-Ra)RBKqR&z7#av+AI`P4CN>@`OW`@JiF{5+kf6<1JOoO-|YdC+MG
zBxu^QL3vWFWE6HVzYLmFi(b`RiEauO=Xc#xYhVRX%6{aDYJ`7Ligv*SH@j(39$oo*
z*L%0=sXCiKo=YR*Q*lAvc5<zzoO)XFy$KU%)~=1`i7W+w>z7Lgzl|lkN&o8`T_-OF
zt;ynh8|Y7xifa}oX94^E?Wv*Ry(41C9dP#a(7Kl{DE8zW2I*qaSjKwr&)cTdZneWw
z7nc!ZFo(-cx$w&IyXqK=>ori*-@=LT`S6)){E7wEF-D|BC#+xyRrjiFF)8?5T?lu3
zwLQiRDah61#-*j<LX4ZFJ>TDQD$krPmv(&#8W7c=4jahPo!}1JS|xSux9nFR@hCPv
zWc4Pl^8YxFCqCY58vDBzz+8$TR{i$V1|_B*{sAMmBeiC8JhsUYft_2^B}3Ml#ODJw
z)>o{yml;8yhZBP&>G>vg+ZsC}zLLlGre^Q%8JzD8hXzMVhPgDAKRV-u@vS?7kPQ`}
z&vPK+Px!-F0NNuXl&(?X^K=*=s$6|S!+rV|msd9p-+U+^?zs|CiAe!yPT)|bgqh-0
zyQk{p<-<e)J5PsXDd$ipiNYz14L@mbr}D|r0W_;CPPEQx%dDbMdq_45odGaXHf6}b
z<?5ynQ`eWb%xX4IM@{>#NqgdDO{cDzp1I>Ybb8yfIi_5Fqt|5fsBRMN&l;LBw!=-c
zZSKLYLQA)JLUFJyWmDA2#AVm?4Ejn3uUHOI3SCFMfW(BM1MRK)sA+H5G!RWD=-dQE
zz?K`4YD!&^EpRBg)Kz>S-Kc^D*3Og|G8FPf;p6P_KazsYC61gc>Gcwi0Rb{j?IE=u
zZ*Y!yQAaEls_u4QBUfKoMFQAthE#D>_D;Q^K{{w|=r{pFqtzS0>!uNQULK0{d~-L_
zpc~6)Mc9PyRDi0)dsw>`_d6hjLGB_N!#=&2bgbCD88)PY;3jEoe)XC4s+}LZhLdl{
zQA{vTu%WyE9D(DEPrSHbIGWul1MLkQfv!MzLu-Qv%pAtHHy2s@SFfswyazZ0i7f{D
zGPhXs%cXGS>2nwpU3e4hBqcKY3RpEGeL)l4(A<(~9X8<xo~jioA^Yh8U_1|b1UPHn
zVcbVTi5IbG83qmh#VxhmnR9|ztTFgi|4I74mH9`_A%<(Z<URciQjzMz9-JJY1iBUW
zt>X2gmzy;=9i;CZ%8)U!*F*p@Ox$oC@2xJ{6;e%5n7We+7svgCXfHY9$+~<bN7>-@
zIwx$W)1I+hUJOKP!?kTD!#H+H3t{bwe5RSA%~PT&qf1oj-Y*flg$+K^JrQyw@eBEN
z@TcZ>q>l<M92Q0Vq|4P_KegI@_Lh0-Q@jb*6$>Y}2*nPNNu=+x`m%EDG<X*~$skXt
zX;+funr>HfcGC_#z;<@mG6f!bc6|{)Z6rRHDkY8e{;IJv_@}X#*NSSk5!%UgwEf#_
zOoe!m=0;@iM&zpd^Ra3l-I{*^^tHMlB*F+^-jrVV>*>!+rdAy)8)Ubqzy4Cv8!OQu
zr{sLg*-FXLQ{Sj{##^9J-}E?qi&m+Pr-Y|kfulxHV`^5*$gyDjSW*|u+hwvk(&I4V
ztW-AUaD^k-ykJ%X@u4ymMSA>Vvjr}~XkWy)?om9gNZ0t@webg*aNgGORqM`k%U-i-
zk8Px=D|Y7HWT@HmRi?4e!+rACUT6fj+wV7UZcpbZFY3!gVJN?^cVch%En->b(IIp$
z-1CgokKJP~YmtGk)%k!d$VaICZW^iN+F-A7>==j%|Glg9ZuKGG=hCyrJkw5v7RC5_
zl!Vd&&kj?vIz}m;{lKfuEUBbpQSPY`lk=5Wif&OD$six!^)KFBN}Q6Ub2n<1V>~i~
zbQdQ55$CWD;~|E(kMW-7el+Yw#e@LV5apx9x%)s#33mWnngaS|s;f3?ZjxhOFyV9?
zG}kI+(S#*Tx4+Os$+vm#lPWzvkuUUCFlh?h;`ZvM=QCyhBr3=ykYBBwEYD@>iPC_z
zJTagRpmi~nZPBDSz0Tz|%_<D-mO3=0Jmi5rUi?N^yi85r^B)F3!lj=Z1c>lBuTc5F
oHOBu_+Sor&{Qt|(_p3N!v86OJZ3r}o0QjT!SnE--lI6Sq1(C~f=Kufz

diff --git a/reference/pca.html b/reference/pca.html
index 2c37b4cc..396f8a2a 100644
--- a/reference/pca.html
+++ b/reference/pca.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/plot-10.png b/reference/plot-10.png
index 9c553b7d7fdf0a2c9fb90a0768f64d0c13aa0f1c..e63cfb4a87889798e37eccaa718efb5d3598777b 100644
GIT binary patch
literal 27595
zcmeFacU0BcvMr2ltKG(?4X6mTh^U~@pnyoy7Da-fWF@s^iIOwe+A4y85=EjSAXz|i
zGJ=4BfPiF_95-xo+;6UJpL_bf@4fHdH}1WEeB(Q3j5BOuhxJ>lR@JOov&y>{<fS&P
z-@TrJfnk&MIY~tZhBb~146Aj2Sc{*u20tFhA8U1Gr6lnu{x^TRzyp8$c<tOJ8wLiJ
zJLLbX{CX!07#MzGkd{29>=-`M?i9Gkph%*NGIBJO<NDqEKmC%dX7J;+H&nd?Km2&(
z&)&7)f4`+bZO4OODy)T{uv%<8mFIZzd*1KX27a&n(}f?T)g|}-62|oB^`Cw*yTbQl
z`AGfp;ywqjL48Ah+1aU2A11>C0)_^25<5~;oeLJ~EsIqAs|+(&k;R=H3fxif9r-VY
zDc|c%<j-GXzb_<zG9239wTAq8?$9b;^5;pJA06p$Qj~eQf&AdU;&<BQ&+CCdkJCTn
zY2bh0Bb55WZL059R8%}mPQI6C)8FSduM{UI9ZVa^tigZxa7`_izx?&5j{Ys;bHA9F
zn#N>g@Viq3qHNVU!>USsMaFgp1qDsy)wrcbnI3<>@z2?fx7U|3WBoqYg$yohXvE~@
z2|o%8+ZR@aPcyHyu&}6J%($fVxKm;6?LWrFJ$kuy?&jy`KTApRQBn}gdc(he|9-3K
z1~n-g8=IvGKaYF!ll`+cN7niNF&_Eq!WYNY4A+Yp$G_WXT_e6|_90SCgq=M#e<<<U
zvu6V@M#c&#tRkZ?lq4m?uf6`Uwxy+o*Y104iL=y8k#iBYb<*X%z8(wpQC?as(Vi{N
zBaMxXrL|IQMU7N7O{+7Kl7%Y^!_vQQ#5*?1eb*6~H<Xyf9#(Z$FwAFpwzH((`pA(Z
zJPv=ZdQwnkzE^a<Cm{XzS2sL8bLYN#7mO6O8rF!--b>djJ1hCN*(gek!)0Q}q}Xa4
zNaRmgur8C9?L~gK*FPSxHI1yRtIHjKy<s1_Zn^({3um&%)eo;T{eIthw%wuI&tpkX
zQgS4JI5qv%T4r09j(vWj{Gr7?{<2gp0lf4V1=z&RPboPakL04PN_UApa=5uk&=Y?@
z!Op%y4JmosYFQG|luyiKes9<4Eh$zfj=VoEwN`nbuz9tHiNk=Ko4Y$UM0@Ck+3C}#
z6)k$+KX_2C-+0ibTDYIXK()jyKPyYXX)L5<$$&cRHrp-~zuBCY-RZt)QPd&FxplVF
z!z0{%VKDvO4h_lk=g;3`lMpYSd&gTEE^Kom*+|ELKh$yV%bo5vn;IW2hjxKR4a=fu
ziHTmdF;Zp3Vsw_iGIbkCEM6+a&b71Z%{8d$_*C+ih;9~}`uO?Un@s_|qj-2cnbBJo
zhc-qw_qi)MLo;u;D!hHiq_f9`Qsj`FS$*Q7h6Z!1MS*!Z4%Vtk%i#>3MMvmV$POOO
zot?{L4tf=VhbHbSxU!p=n0(b)>DBrANlC#6HhxxCR`ygA8)I!-+n!dl%<~x%5pFZh
zrV$4M%HOV9x99$cqjp1|Zul~a8B_%7YY{_}Ox_)}fTeo|D2NM}`mwPI2ndj;f4j>l
zoUulN=6a{{Qtq`YnywS?((C0#-i?2Gqc=5BYxVicop;!QhLq)!r0#5Pw{|0srEazZ
z^#Ppchi05x!yUigEuU(4=xpzv7l9YBX?eV`u#i=qY28~9?v(GJmK`HPxg@oywzsA7
zoi|h2{t(TdMJR<fpJ2BGwK3fvPjB%tP0iyBKBBRMk<rJ;N4WK1RGA82YvCW(8*|EM
zvk$%%S02zyPVs%WvPUzldL}|*>B|<Y#!E);jKn8H$)&^1cU+n%YkDZLi84L3zFl?W
zpEg?<7*0HhEmKWaf8gV3CaG^~YML1;7gwL5SLS=Z;;iHhIlFiRHkXm~r){`D?N>r^
z9NdSF8dZmf_g}tz*}5?++XII_y}L5%*i}X9($N~x0Idvt>6!Yd72A-?=Bx1$8L}Zf
zqkWAU1tB`_!Ug4=VYZ8QA07!LRrVgyE<9e)r0rto;#5^t#ljOG8@u17@<@(;nGbVL
zqX8b?kdoW&n^oMH+EL?MINul6+-~1$o-)iPWT80|Y7}{Cn7S}D-K0|!930F!T+|=w
zl7E<1L~-LiBx3UE*@zUIoASqnlwygJiBjffAHkMqmF5mB^Zf_PY?YLhX8znNKajDM
zS}>O1*i>6TE6lbya)-_Rp{UNqi?s$K4WVl`?BJ+;h{y8lr<~&qC{J+F(rUllf3>sE
zemXs<hJIv^TPxvPM$Ry4ed?uRi!&TLoQ$%Ii^cmXMNTDZYMz2=@oOviG@qGY^mKc6
zzfApc_GyLI_hagAtvr`sJgaw>SQv;|<Kc75jF%kA3vwil99^TaKW^pZIPk)I$C07u
zA8-$HO3N+P_LjpgG8(%cORVnTPAlXW(S7S_am4iXpFcKZ5v*pfe2Zu+i_KTw+@2n=
zv)x|zAxfe|s?uvfv@1fuRMjuUZh5-NVcyw=8awkqinaVlrGiPzv9>(Z&H=Y$E;A$g
zZritSZ_ep-FL+};`sQ^uZ|<!|caP#FYGpx@C5+py8QVP4Qyx&D;!Y`=9m`-9bBdbG
zs;LeW;&pPz9V}{buM9p?c}W4gn-*NJ{rGjfYYvOpCdbKkZA1Rhk&99+4Wmug@3yP;
zh*nFz)c9XEXO$&3=ke-}T}KV|;kQImx^>{=Zj_Y%mc?|-f_v>y-Z}<`yp6RVWy@F`
zH2IftDeTnyV3z0O%5YN|87KQ|{Nm!`Hdoe!3m*;b(DM^>){M`{$atT+e$-}2$YW)x
zhcZeNn{Bhv;-Q%8EM9h<s+Hoq^7_w*5+3e{b&BD8<zBpa@fLggGi=9JaR%<)hwOft
zop$@ZT}Pj!rt+|}pS`z}QK-|^<}l3n(W6J~0p*gM0e5kq9fwnLbg`imS!r%ZZf|04
z{F0&VHr*h=BTFk4DrV#@9RKZ8Q<D^4jN?*I*F94>RVT}5)AwO+#7Lr`@q|UubR+qz
z`U~TW$BrH2Xzh8kMdBX5U&tQ*<>|<w`0$_ET*ptbWxwb0X5#fNnrY$A)3m|6yob|D
z#5>#<M~$yuy$i?9t(JQ44y*G)PPvEoKL|Nddn`7I)H2n_otNe5wY0GCMU?aKsXP|K
ztHT;_KtY~W$Ei0+czR@u4sD?+1`j#&S<g@X`R}JbH8h;Ta&O<hJ%<aujoJLgMa7w^
zdIdlDz9R_2#l*8PTNd(lc+i%O&CPxAV2<5BLSN^){S+!BraqpYz$Z=T`Odc)F&$RF
zFGtC!<S9z5dH-Nv%#$bVPD_Xw(<Z{pd!x*yEPD!y3VVY!bQ_Z|m3M2|H}7Y4o2u0>
zNl8odI}qu}KGR~F=IMDHr#CrsSyk<xVA{UbUv~2JWFIUwvas9~==P+5C%5Z{v5ARS
zN_GnuS)F>e*(H7c&>q(T+Hwgkr&RQ+Q`&}R)r~#mnyD(iFc$8OM0k4||9bD8J#|+?
zmE?u@Gp7$_<Pz^GJ%1p|)!K)+uk(>Q@Np+bFV?ne^OUi9xGIi4zQZ~+Gi=iNhJ!r=
ztJ4h;lWLjWEj-tCv!E!l+AO=-u$&r+V57~8V59GV^9wg$K)jDpunQA$u$cK{9jm&j
zWe9N|R%I+9$%`VL^YZZq1(WXNrm(t<JP2$>KrR@0(9qKIC_>Quvf|3q0QsSg4I?*8
zOG`(BH7r7tClMVh5^9PU$HGL(DHl%hjQBRp_QMNj*4y!3%Fy@GJ_lc3<&G%L5?rIt
z-+Xh6`0+z7LkaQrm;J_yYj7^Dl+`(H*0O0KnK;z_m3eR>E=A#jw}!MHA}pO(a2fB*
zEHX1Q`!Lw<Fp^$opWj9n4ac5cS{&x5m;95tw!)@Bz1$0}Pkvgwu-9dLhl$9x{B@R+
z`ddy6M9Zgryvlo?Vz;-|>sYu81H(AqDob7j)%^$3V`F1YU9Y~^=P#F@eQ~uu14b)X
zQS*>b&!@L4^ymSn6&M=DwrF|RxG$@ib4rMQ3AKXTY18(zeykCPlZuOrn<|~~Al5_E
z2=~(o+G5l21^b6tj~dFw_vTN!uPjqM6e^UJmGwi8Xk<4|H#IaEBqb$HW*jL<%A9ai
zV{>qrr}nN%lMS0$oW$2QF7&!jr=MVR>UqFZnbTQw)@OIa)x5F7n)wc+)-C($Lw=v}
z+~<2P*rxux&~$=)v)LE;w=5QO=iOw73Ms{l{`^^4S*C7cfJ)65W6t)9b&cK~%XShI
zxZwLGa-f_ZrQcuAIpCbZvYut!el{~R-fLN#DI?`vCGl-ZJD)rb;o{=br7h3;d8#;^
za-Vp|WD}`V=x9Ye6(i$>C2hu%&+PN_hsUjSC3`l%``A}4LXnG$myfvo%w+bxP|18%
zcx9$Yo#2#YSP-|`%+-j+(HtHAWnA7DO%69o2IIo~2M;O5^=Qg8v)$gp#u{c>>;yPG
zSuIlg`Sa&tgLc=+s`4qP{s^XhQofqQqBtq5maFmm{i2+Q613Aw3IsbGyK|=-H3G`u
zUyL<fMzgF)MD-|u+33CXWW;t#6|YRENjW(=g&4GKad<wKKU`{2FxqG^Pp)O?O4rRT
z3%2VfTq&7pB`ePSMb#&Ur<{eE&7Pm)U&hl+CCJ|jgyH2-o3&RKno6oKS=iaxg;b_I
zd**5BvDn(4eDz9CX4UYAlM=UEr|dPhbsx>Szn~X2kc!(Is}U6;rZO^{f8YGf<!Uho
z2K6&9Ti5B#y=L+sT%?pp^ykfVQ?q?s>|w}2?>04JOx&u;?+<wZb#T-dvG5-4%vbUQ
zXx}O3Y)j2e)9K<Vp8Klryf8(_z;6))zTQ0$>DgNu;@~2Tc%u+kvee5vn;@TLYGy`v
z)o}_@tZ>;5X3t-(y{MwH9a)nwO&k7IKeG7V86k(UHvNU@o12GbTt~~cxqi9D<Xp58
zsqQA)G1I!@#hp4Z8(ma1Hc|tJ?#^EXaCAmmS~{fH)WpP^RY*u^Hr4t8%`Mwpw8c~1
z^!~@7#Kc7X{Kt<UE7);8g)J5Z)yz;4+oj{Sh>pLsNGTENzB8-pk>eDx>xZ&ydvnh4
ziQBlCMvrW57XajCtqHhI->OGst2_ttxi@OHICQ!N3~E^9?XMPJ9O;=D&FN%iOmhCo
zJon3OMn<cbtJZPU(5BNoeBj#-u(Okx)6=)7yUfoIMv?YWg%UhAvtZg8lbBZ2mkqR*
zJKN#Xjcelxb1Y3tE8fkd?RZ7g@yjj7bQ2d=yH6LbKJb;jjdU4nzG9hbCdjNHv2077
zQ;J$pjvD&po`(%Ecb!hs8J#-o6ft;pex{}KuxZKijI6dz>v@Hi70V>OFt{WAg{&s+
z;pqjJp+}~vcY)%LYrD_)_E_S~J&^VaFRR}1wT+*>cy+L>#3_rWt7Uxav(cSR%)uiL
zZa+r0-dS%t%%UncZ!EIFt}|*N7*>_X{&d;rO+LT<$Y+b7;k&w7P7#Ot_}bW7pX`jv
z6BGD2b9ZbvKxj^7TyGJNt;U0FM3n1~<+pT*f5r_WxidR^UW~)r#DLc9y-dEseGi|m
ztBsdf9@OtZToMVj=v*DMtX1S~ZY~zJ-hkRuKJjWD+uM=m%x+wd>iO5jwu5!Kh<JK+
zPo?>QW#`%{?m4APNgh8|G~H)l(s8v~S}dWtl(<V*>GKQg1OtZ<a56MB^yKm5y}Nhs
zev*)IXuhefEquw8)|({Zq8%I((y!Ub#%M(?Kfq+}VNzc|J!|B)A-%>TqnxvRD#M`C
zxhNcmFBD1~Xw;Chv70&Bj>XEM#n(e(aw7FJmjV^u8BgXbe$dO6$Uc(}7`xMWQPN?$
zXYO33i`M&WcAtJ$28PoS*K@YW$jXvaKgTLD`Qa!WSDh^H{sX1NWl&wuoH=9tqt>F8
zqsL@eCr5qMVq5?E%l$7%;&`<_j-*lBkq)FgPJGQ>94qKXHh2#p&eK!9*wtwdBH2VY
z8|}DJM?=Z+ET3C#OuR)?iki-YvE|)GvmGL1dHs=&z`1(wytacE*c~dznUQ3nxwF|!
zFdI3fc$&~AojEljz0!N(Y)9DHi>G3FHw{c^c&GfdNRO#<h?-BEDz8ceTedd*u$*$B
zXxn0){l@Q;C>y4yr`sR#c3x3VZz=r4_@J5h*dD#pS45r;3haOf?}i6|dEr3UXw1wi
z3NYqY;L*M+*_G_!)PlZ13F`ZO`*a(gZv=4G1|-oxe#i6R(9YP^Dp#*wy~ixXvl+26
z7pz1KatEH0C2G%nn)`H;u-G<P85!&B?$@_AENb2%NGntv;H(?)!L!C~%qAU~jg+~$
zd0=pG>cp)9FatxA&UlM%n0dA|YYEbBVV%PTixij6MeV5JI+hJP4tvt({AlM`bK1L}
zfwJLLhzt*5-nr>4E(CIye*FcC2hAldq<-d&ill{cIB)xp!OpE4lH<+GPF_${^tb6w
z8_V7|>T<dNG}(rOqpj>ZW$G<Cryc&<hgK5FzUvTgg>wxUBnX~yVnWLYfO%3KIfP9`
z4qMJF0=18tj+?;Xc|NPJZ+8lssdo&2?$n#wei_CQ?lP7~e%xc}C$ZuvA1WQdxxc<i
z$HOhEsd**NiAnR?tIIAqhqdyL?NZB2n*jx~d6@6xVU6s=M&W}|D^u|kFIR8jaM(#}
z?OfS`oX{dYQK+leCCZ#_Jk{ORwu#zXX;Vt6lG@VY@9!U;?pjc<k+*z2z^yhSTkjXZ
zRWZbhv4S*>$rrRMd~9CLeVdM5ZQXI}L}^_%i}OD7wDi9R7b#ehw1pP|r|-aQ?Aao*
zbWPG$G;%C1%;J&j#KNeh2Q!Hiks^H$^{A?8psMuq&CR-A86s^fpBf5@_864ak%{x5
zEq0bo)<|^5+htLDn<6HL3EL%}l2)`;L6k4Fxa-CSFZ-scRM^hL6LuyfTVZG4EZlQ{
z4m8jn1Q|ZdjzayzpORAZxyEo2bXDzMR?LbQbo+{M*255o8@7mzo{l0{1PEh6IbLwo
zuYE=+WcUMO8a1QCx3M$i3-|ioXEDAqaYi2=rZ?&pBONcEPO<FG+WgLJa_ysI7T&+@
z(YxBVSu7~KNgdaH6S?lLaxYt@z~xQ6<8|kAa_tK>;;d)!iPyM%c{lP6Z%@xlnTGE+
z3ANo9Z7QDC(=pE<j4Pi4yAqnyyF*b=Pj9KrV@WE<`3*9oG7{f=tQMJN&PbZU$qVaT
zlUQu7DFsMr9?s9wX{_;BndGUg1~^Q+Qn^`V<i2JxU<ak_Q-V@~TlvD*ci!F1opWb9
zhU!8qc?u2>e#yj*DkB%^X@C9PM0a;zn5BG$e8dR>N=U$#wZL@};EmqmH@KS*y^Heh
z<+`P%zyh+H>@Ky#BZtdH;Zg_-O<rmT%@AdyRN>o`IlA))Vst$wzJB5h2aBmeX+3SZ
z&x#Pd>f;q^TrOyR5VVYz?#_Nc%eUh}_2@^Xt1igzx$CZttzvjt_I;t#uV9_@^W7+K
z5nPMkP|dq%QZ@7V`wf+&=06xwRpVzujEFh-8AZ7X_A3tmF$C}FLpU`g(A&Wq>J-90
z%X3rU(}Iz~k+c`=8DB7u)^0||hK2^hO!Xd)fBKZe$gCUdKOoqwA22uOP{Is8p`v*Q
z_@fD8ujV=JJCx$(N3Vr{o+;9IAHT`=c51L5>08IS;&TE*LS-9x3x6U>kX)pwum^Jw
zO}jF}p(AwaMiH>C?#SnK!rzuXIpb|@@v!dGr)`$S^M-A}j(ortpOFRzJU+d?ccP5V
zZv#*6FHWL>KH;oAjEp3;u8S#3NGNwKWO+X;&df-Ns{QqVEGPYjKe>xmkaHG`EIB&*
z=4;9FsAW11xy+ll_~D-y5Ev$wCTq(0%Jys}E6WKEO~b84?5N0F)yC^S;r$sgta~s%
zN`B^MUtixG@d4{t9e+P%u|w^zb2<2yFSzvIj%Dov9eS778PS&dB{CTwOj_o&+Yi53
z!Vwppod;O9HPteTuv6s+t6+2Dh?<U0R7z^9ww@UBmu4?7FEh9-dt7GI4?<V#o<1Ex
z@>QR5!e`e}&d`2bx8X)nmaE3b>M_Ob^9~>{?eafJtW5ZcX=~fqOzy6P`!Bb^7q)Ac
zs=<^-1Y6AlM72Qx+?gI8TMR|Pz)x&OJ^RU%CuM24mV9C^`<#Do&M;`UYtj<B)TE-O
z)o`^L`T2-pn0auZSbw<9det;RvG%C`51|2p5`#|z8ZQ@v<TcVj`eUb_dVpe6JOjfC
za|2nC-@s|74`RB!aO(m2k=nv`D=>r(i_=<m4JyKZV6W&L*WT7jInDsFp8KcsmoM`a
zP1S{$fh5$J9+Z3BQW&}W8?f9v``DFL?^efVv8($El7w0XeJFO1TfP2pBu4*es;lZI
zS#aJ1<*?M!dKMszd#qw7`Yl0N>uV1yYiY4y4_bG7AVno)EslA0>N*1z6_q6lZN;+g
zjgxsJa6vBY&YI_pR(s$frLRG1+U2|aUI>A8`--c2Zxr!8#elb9BqMiWC}~nq`)U{=
z5jud!j)RCO5UU~l2?F4IQ?VBP%;w`G&)@iW+$Y9S{nP%WB$&`Hzga1Xg^M3TkH-IE
zC!6Uyn#ssWs8Hw7<z8No!CHf*QJ1YA{UV)%Hd?B)60}JPQ?W+C$Q|U22s^D6%q`h^
z(Tuo57@i<<f#SxDOv5U#%o=eKC(Vl&(;LH1r&OIZo?Pqo!onLn#yHr%S?ob+llnlm
zZgd0^<c~;@Ba_`vXVtjRWNHOVjOBJ)vr+&W=TjB;xQ@S?K#ufw3oa`$biGf{E;{K*
z6`N;P30fi5D?{eNB-G)kw+GY-pZn6>!6Qd}5OPSq81B>;$_L`s5fCI_z+wUhv%_O~
zSf?9^$=lLxSc4DdyOU2>5?G=XtUNPp;vQi{2rcCZw-ZxXSoo$lIj6&U0-1RkY@3-}
zWrAJ+_sCNC;MnHAZ1LC$wnQ}?p2uyo+KI_>1$Tb;*@Dh@Ad0sm>f7xB>`w;~EP3hD
zC1o`=dZ{2j(%FPmc?iReTcTxFI8nMLp|UqbC$f#>8u@H6lv%}N=Y`sj8CHjfibf&|
z79zP=lc4jc*EGsUUBLEK7%4ckU-l3TJKx7FV4{4A=S(WnM%-kv9f#F_ijT0rY?jv>
zd{I?(2drOvkJVd7D`3Sk|NXMMAzJo>jnwtE_S-bDEKRF-+tZC}pOE5>9xgX|%f7Ss
zJa2A3ad2h0WQCg$UdI9Ix<S#&^_fce8tZKQ6Mp~P-~GO;58*BAh=XC_E;n?sGPPq+
z)a#FM@Fj#+Vp5XcU|lSd#0G<TQn{Hy9mUi0p|Fi%wGYRxhe(>Udt~mDBOoL-d(#g)
zJzs2RV7M8;imH%iE7KhAJ;}wJF0YUZjHjnncj-H(;_+KI8hwf@_4y}KEZw-BT){nU
zPZxZ7GB$;QVP_$!D7BH;dGDRD+rm`O*bs{ovf;1kWvmF+K$z*3U)T;7BbxO`dAN(x
zmL?g~hZIMV?!~{)`flxR^EC`FyEwbn?EEej{Nq7xZf{aBOwH?iw7HVpDpbo5Opkvx
zWtI(poj>rz`|BNvr7NOH1Jcc!GYCiMsZumfVilOqyLY!9C?&?M9|_j?EvhNrDhAO%
zkf+>vlZjz%w4Sdpr#p<)p<s#B{P0!L+D*T{HRi@exyf|<KHwdXjEu~}QrhTR&6`Eq
z_jk}&J^pg_cg)eUE$bPszbbELVc2+5sO{Qml1Tax8ej#Uz6_9BZ{q7ak|f}c`@sDi
znd$VP9bX!M(;X1Cq@SL&VcXqo6j)J)-FOnNC>{C3I~<DYNFs`O<TrZ%sK4_4S5#>K
zqeb2dZ>>LGBqSwyBfjaX>AgS1%j*Xoz|+$h%r5wE_9oBAPxJFnz%jD3KS4eLTKj?N
z+Y5>)qcJifAsQMU_SR&+?LQM$1g5ImV?Yfw&&A96iM%peT3R?n@(E7>AHZRw+?0}%
zQv31ag`VAffgsZ)4Gat<C65UTlHwZq*t(TWhu(^yGpSV{m6enNUaS(^-!=L;ICzK7
zHLqxVNJXXEXeu0f$La+YFgY2ttQRjNQE4LYtt}p%oImXWwqJIpq_p(xBHOab=jT_1
zN2A!(26+)+%Zo#*471#(lBiUwKF!qF_&KdM4b^EIahK)X7Fx>*wW-^Cccc8t!0>-t
z9*<h<?)DEYz<+tQ{Xcq^|ET$^XpgMl_8NZZE2xmWpqNF24`2E@YN_V{(CCck>dnW0
zY1Hvp)>Q*>jYadWRe2d!W!McI>KA5_f2f~A>H+Yt0>oL*Rav@k?d`oeWPqYH67o;c
zGAE2`B3V$jyN7+8YiTOpL8^=Jy;3;DLbwo8R^49UMPAO}bkz8}4ipF^;AeL+GD^&s
zE9e4wl-r;@L}JSE?t4eQRKOUa;$6smOz2XWn2WunB=M%gUwFumU;Zv|@VgGU5S#vL
zxFxJU`h6CCO9t3(>U!Qbs0==X8j++Vat}^Y#mzLT@imHc;>5}7A&mK*-Ym?K{aM$W
zy=fcyyk9)lo_SdSO2pHX5OW_QM1)pAe~37xg6!z43S&Zo<Gs)KIJ^AuFMnq7SoVDg
zeNbg6;%Wh>eiwDWgS^vmi?|N{gLwRBU`BM!cbc?NJb;x^4);=LzMWWCr)bW$oLIQj
zUH=xKj=k~E$Io6&b#K@N##ls5=#DG*p+nMfZZmbAEgl`J%E~<>eiw|BJZ9=>3)UY(
z^w+&=t^-2d3E!@b_<0sZlQ)}14*QBy-|rN6b;NZk1@pd>L_bMM*TvROUm*7M%HC1b
zLn785KWg~l*NqSd+&95xbAJ)nR8d)Z%a6gSv8}Cb*mwKQC+jRVDETPtAP$%kpiypv
zwG*7Jo@Z^)hDtg;j-kHLt*Zj(89hLP2WqDxURs+Jhp3gjen`Qde{NvtqHXlL?f@M?
z`4qAyk;6w3^g-=0e+7Z2Vao1adxpu*dDmwoN~~Z;2Q+RCren`~e*OcFMgN1rz!rRO
zd29tPvU9=5G(sUWCb_>&PD<joHs2|O)bdGUA{V<W_65awfB8Ki^^ZxOUUfWf&>JqP
z(|bcSxG^qn?tSb}($o1M81dHJciSH&%l&VT9WVBd;eGRD6BZa@*C-uFk~3TNxa@4f
zPzw{2A?p|x=Yhu&;yJGKRAXb~fip)2y>X}<UEn{aSwE)X%l)tC;8QPaXpm3!BI*5g
zwN@z)(+!ScVPT^lQvi91c)gj~RJX}0l=`+6tbeMmrx#Om>$`(E-|w`eil%ZvqW$AF
zj4w*oomB`*Eqeb_4P0(_sgJj(pJi@#{!CG1OK~!>O@^n<(LXruWA{D&)e{mCustVS
zSH9d~^Y!#RlGB!<aQ8TQ(aV#3xKxBQC0phvN<H@hHA*;Q#7curB!j~nQCsX^Yertq
za8=MaKSNbjwG;q|6=|g($)b}lWkR~qW>xkMP*>y67W$3q>5TpnUoQwFfHK3K5vb5X
z6lEw7LzZuyhf|mcj61zW>=<G0b=4Tjr~hIJ|G~_7QAuel$<e{OZ7<*=zhGD+U|jl5
zezeo%AHM0oN00P>>mmQOivMnf*uPHXKQFjTpz5mqVh;Zn15fk0VW+i>ti;NZC-8aw
zeA@`Q$*%<z)@+vTnRVqEUgpiX@9egM-5d7;Rh8QUWCn(am_Mbx=%m3<jAiC9xW+%`
zMO2Ik*>-X<I}I+h-{psGEkp2AC2()rHN$d6cL0E`?VT5-79-kRPI{P@&_D;y`%Bjv
zFAgY-ddN+`;aW~vHcDGg`*nf3|7W<&@Q`iSYqZy{FLSU0pQv5K4Zwz?GD_!M_5!!V
z@rs?o*7}mk&RbMdH7^n1cW);j`(SSd@x12dN34Bza^XvLk(Mzs5&(@FIr*UsQksAc
zW)S5Ub#!#d`-pr?x+V+tvf056TUY?#4%%-&myW+n0eYq<@eO?X^hpv9Tv8HR17Z0=
zHTXdb>vxT)N7$Ni-6)<4p9%Phc&7g%8RWl={6BBx|Fy!@f1SvG=ZW;bOFg-Fc`}N2
zk0=^5n$0${iHo|=SL*C2kRjKKp#9YZssk!t0wR)>{Fa*$r7FXHotyTaw@En_SxFut
z%)GRKE`j@R><nB*@!HP)wSqhC9@In<n~!&0*Hr`20r2_DT7#D^y+LYcNioO1<?2O6
zMa7XJ@+*dIZ=*LjM!8bUiMog|L>G~9{^NHaqVvlyL)+;}$Zx`E<Gu0Pyhg8Xtoa7#
z+j6b=pn22g4eL0>OLJ6%OxK4F)^9(K16c2T4G3t>dfMaAp+mJZwQ2BU)^R|6@iS^)
zf<i(ZoGs)jSrVm><AJW-c!&%1x;kB>y`ZCWcJEGQ%4dNl&8?d@ZQ=thB7UU*!_k_1
za-8*FYzR0{wR`~Qe1@<9Nw0nqaGe|1Rr_OaVsi3fP}dQ<YB%>L=I6HrUEEd$X_L3s
ztyAUm$K0^iANu#NQ3cFGg8eRa?dibog5$uvE@G7E!P_&hH}JkKbejAMHZ5l#UCDj=
zb@afiRuG^e+Rj&r+7{)xw*FogNKzuS*9xK<O@Qy@iGk3Wka%)hf92qc7cV~0<Z1Z)
zd4T`of{I33ISv#o|C!WHr|;q^6A*uP{akKjd4=F`<k<v=7Z!@<9V<o&@GrRRPqYM{
z42TI+2FKr@VjS<Vt~^3Go7|C%%7tUvXTqQoNvrQCB?pokkX2xZdt?ov;7-=e%XlxK
zdvF){!=J|+;mT{DbOr_na;&m6HBG8vqo@AV=GM=jcOp8RNo71;equN|z_t7m@|XBG
z@wF}p2k%n9JEW?n)?fIPfg}&t)jZ`rOlhm%R0MG^=U)EaZP(A%7rrl45Svzp?i;!-
zQ_&`S{#@O6UWBvR$NrUYw`Qm>EvrfpTf6?-&TXqK!?LCm>xVa!AMBJv8c7V(exVIS
z7o$<Q)mfsjB?Th)WV&IWyfW=R)e&gS93aG|H%UK}jT|?{|ANHH|A52-2TQv~E6y^T
zZ-WUNr6<vS*nJ1*fAB&70X_b|+}?ku+xvGrBviET1r?)eJF(bF6Gz=U;xjU4-Jwqj
zNQ#v1B@%OCc&gg5x&u86bD#?$FC`LmO;Q=DA^K8ZiIutV5}!T7{6s?d*(|e)s>MRy
zb^R1K<@B)+5XJV@M6r?74n;HJ{=EIN!O4tcXC+DL*1pqi7E;Y}2Rrf(hP5e$>k3O~
z%anjYQlRb6i$X1mk&zFzWg_SVUGh#|WON%NBc*Us9@0dQ_kVvQN*d?lgg*a%GrZq@
zDu(S0(3C6cpq>y-5E%FK!dXe^t+_iJ=q9)G1(kKY7)m-i+~i*-x)X4sY(&Hu80=oy
zqTn{9R6a#k;QGy<|NgPU<z?%~j~~Bu($J_ODft%agNKu|$dmP*YoDB%Po>|km(fA9
z*B#)Z%cpQ*0|rqWIL6MN-QheOPDQ~floe|!PNFkXzZydt*N%cvz~HS7Oq}&ZO)Du$
zD1YHz3EX9U=P0+C|7mlGbTv*ve7?tVG^<H>W~7;PWX#ot6mRS8?G^5Ab)GpZ>H1}Z
z&ObMXn#D92N_Zr~o2f&RF1kEbpAG>WXN?<lCz>%!L}bsHRQgp6-#GctvlDY9O%vq@
zqV7SjHq;#y7+i{?!;8|n0#e%-op=jn2dV>VJ#E)Ek;A*5+FP{F@@*n>N)hB16JSox
zBBq%^Rl{;Shp;rLxq#J&j(l$--J$$yyq%-V#}kAD;ijHd@)IuZu_~R}`*on#&66}V
zF)%Dhb-0XcTbJ)A0GpAKG&*b$q`&Cpg^=0n^zsvFx?#^}Yn(AeB_2z8T>TS$O$>(w
ze)+B=yQ2V<-I>%M$?r}&ZxicU?w6p2%2{SLsGdpw_S5{Ss~bCrG9S>Oy0gV1cn9Oe
zS8v|4SFe`svIdKV3JWg}YHB@}5DJgUezVuxf#Pcl!8Y3Q7yc$CzC5TfYwSdvsZQdz
z<9)i#&GWXW%BgXp#`ugd;{6wF_%xujr6WGd-PvdFZfKK#0vXND9*M#f>IlQvh#rGz
zLGJAq;DX4yHpGN1oMEH18|#xRcF2&VUy4AjU3~c4!}3fW>Kc7-npPA{IYZyrkAL7A
z5xMIuJKfX=US7{F|3(grh0L-Rnj_NDl`~+`xFZ2V9Kkg<<?hvx(uRKMHx>Gh{C?rk
zxt9gkzPzRvl2M`OdHa?AX`bJGUkG`-x5sjmhY!?joE~AQs>y{P=R@G67M&nVy}p;5
zvWkK(mxw<Lh_n*)-#$LW4-Z|_=x6%-`^v@hjfA4rUjT)(b&S63ZRg--==Y%2JV&dT
z>Dw98%3WR-)ShMDUylc$*A^uo&p<nXkEa<?<lppgZFsRtqKKni+F^%Wm#*~M)IV8X
z@BZ#*j+n!{_-~slOXlu5`~CK{YYexoGPtJPcK`f^wc85+-1~#q$i`npJiq(#_O4$}
ze&2lK&y&A3%AaVTUhb0J#o?mnV3kN&Y#L0pNsLsMkC<$%kMCIcTqdrn9Vuj~9ZUJP
z@3ge9YbX#ct7#W6&$M#8&C-{)<guOC@y-^uNFqg-wnj;*4?==xQ>W>_z5g`5&S4Is
z0|PM0^D{Xm5%mfZVji;&9wBT?UF)E;cjGty7>yh-#d?w4in<5%_n9cZ+t5L3exswK
zy-}?#E!OC(N}iaBRZRHjE8>mmuZ=cRURvJ)joGt02l`RIT(4Z%)ee;dms<$^70K5R
zeKUvkGOy^ZbQdnH*CxNYenatF=-#IMu0($nBB1k9Qe`JBX_-;W$v3WYrGZrhGHmdz
z9X?D87ZMbV(<yORkvnafxwJw=cGcC@Tyc+c64TNgMq;D{1Xt`HevVg&;^KTPl$b^v
zwmXRW$Dtq@6*;A_!qh>pzCOcle~af!!x;)u;;7^#>F#z8D-oNmo6M&^O5;{>eDNvA
zvhzhwPTJ%QW%iYZi_2m`$M{E^;Lh4k%Hoe%?~0q2-2syOQ43DC-?)AVs+|fH&yrYT
zIFE>|2+!2khr1MXV*eikyyv#?9elP`{`g*C9;+<9PaOT)iSP1q7EpuBulBf};;57d
zqSz3nNbaJd%*>;}yYE3YR+O}&*`^)~k&znQL6jpXPb9L$G!3@qSgzf?=V4C-?IwC;
zl!Y0K%CE0l4FyObN9a)_`4I8gmtIAPFriSbXX#zIKy<zfvlN}todWT2SfIG2{bBEh
zh#e~Ol9uG)sm$TcnMR9Kazdnuf(pTlipbhE0&tzwxrY^lO=&vlHuC2np-w|XBWP=F
z*hW^-T-Q_G@ItXYDL0@2omF_XI1uBPTI-BD#|OwxqI8yr)S9o{VIdtSx%@lGLH~Y4
zc~rJh5W!N@rb?h0WT_1_Ed3DVQk&?v{Cd`ftQ$g3M(%zPV@XI`V>Nw{awQt>q1(xC
z2_~<?I3SNTaGHlNb(+3Ge$22<u3<w*Z-09cHZt)cJ$H&$Pt+dgp{3mK`vxA>ZB%$2
zL!ulU&^(x|`!oI1bgybIbD73xX4?2PhN6gK0Vdvc%qEJP=01-;Rs2si<?9+t;Omyw
z)+Xly^c?n~>m|kZ+hQK6Odr|}4tbJ|Ho=A}zKf!c&NQ8FX1H~6g4+?w$U0kF+hpqq
z6pBgRz8NSbqe`&#Da<a&m;SsLCb_i7S0*KBHnEg%i`xF{0lHf{dFs%&s^<E{uS&;~
z<r0)-u=V~=ae`p~#il>f7buXRk=7M~{u!RU9{&+IwX0@ka<rA@`VtQsBwa>mj>|(>
zJPLK%*gg6?E@bAXbQM9EMZ{VCHc^Y3=ypiAwYM)Go+%GF(7!=v?zh{USsoGTVEcA@
zK#4ZAtK7DUNC1iA&0*Psv^*JvXep|xg%B|fYWf;=&CQ{JSUse4>)-SI&E{d>Z(AXd
z0C&}vXETWo!6!?T&`<@jEe}XtH8*!_a^Aqi^Pz;cSkiw$VqV(62a?tIP=g(H9Pg5m
zqVK{p>FrTZz9c54%DA|=`0Iatdp8g1P>0eOr!<~&5>nJ$*J%qWDXG*#YK2T0eNUfV
zf-5BA*1!<-6pqlH+A;+ah~8eXTd8$c^nEZ<g=<6E|7oEpa@vMe2_%)<E$D9PWui)9
z7ipt&%6t6y%Jixs+V01=HGh92yjpglsA*#|-bii<_1VQ3E|zckw;|rmBH`}pG*1-A
zCQUjk-VMQ>bo;-qlH~YmF|@`tuFw_9buTF-4CWK%6)Bzl{p(qf$;qD>d`hj^$|?6=
zN}T$D+?Y^)0~uD2rHQ2>wUP?bLJ7QDP}o6QSV*<w-&UyS&^Acw`haxIy@O0dl?#c2
z7`GM;JLXs|L0cO0r0?&AOfL5|mi}mW>Vf+G{pu~E_hIF!wngOKc|afd(x#{B=^FWl
zWY?}gYDh^L(smgQTF2)4E5LOPN{IYW5(LV`62(1)Zs+SDc!}6TkD?dqoqIA!a~zR<
z^nIrHRX>Zi2z~PHu8%bxQ5z?Hc!h0gIwf8y-!@-I1!07!Q<oQK6>!KlpDs$J*e~O1
zrxvcD$frK|mtiHruuxXJpuN)8FP_sf4LRTdl?qs^_V-s{Ulg@F&@ZD}umau11?^(g
zTe<&sRBjMmRaV|yyXo@i!s@jf5AqU}o&0ZieBy=!@UBPE<U&KI8#)lz=g=SH_Xb>C
z3p{dfFFHok?3ZU|W~kJzS2zFu(e0=nS5y)sG-;xt2}D`DgPg+Oz8sCXrz<Nvm->X%
z3RXa6sA!81MBn_oB}D+`fU^kTC|PJovqr;0oHAF+wRTzFqGP0)+MhU+`MEL)?Y}*=
zCE2zH6}2D_@h^XF<p%;<n)RSL5V0`?b@~vsH)CZ4Bm_4VpuzCywXT={c6of-t>W+O
zu|9|3R!ACWrTxoTT@K@>^vE>PR%T10Q0aXl@`QegJ|%nUyejw*0v)#~I>RWB0%k2q
zl@O59hziYCUV-jkud~Rz;SgFS)G1nm?v(n*#$a;7X+<-aWnvWt=WTDG(EM#K019c~
z$O=W(c<JvnP1D%WVSo)dYTfhx-X7tM1FZCPCt7VF`!6&xp#8t1h`<~4p8n|QZQpwO
z*TjAc0tXMSp?~T>ee3@bi2Um#{t3$dEB9h|5=*oq1OfpGO7Vthyl`3=j6Vu(*~Z<+
z4#u4Iset>3n66b>gq<A!$ukX-uSB3+b;UFR_ZmtkWUX!J%gciT7dYu*INGA1?tJ#!
zZ{*e2E0XTs$Uz?lNkSld`T~35zqxLUyqlXF^c-|M2GX^MDL>FeXQ=R3&wYt3-%N$w
zM0az?s?}?I0+r;;(T&Eh|NcI_;!}JYsIgrl_GZO1S!w&FiP8!|U0L`DeSHR>BwrPr
zAhQtspDJ@1bQC(N$kSuyg<VBYx<*Gv4)Y2L2&nLV%l3Ldz1>robkw}%1xNYwD{t!H
z^$<Vs^g$hsh@T4!+O^&#X@Iy8i_S|#OCfy?3K<?AR^kdud>AKqgtq5Ri?#LuYh?+K
zSebHwTbj%9*}Cmu^t8j;U*?6FEVM4yI6YA}DW*p+(m}*g&Qvn@PN2nbX>Nj&Kjh%l
zIbZFNfe8aDhuKWifF*#88+=dk3IGI}NIjE=&rP%ce!W@O%RlB{t`oli%$VXqThWeJ
zu7Yn%VtLG&Qhtl~IX~Q`_1LH(7+@%96YMuSA4;PP8CzQF^qZUJljr^bXBGrZX@rp7
zj5>G{%a7N$qrz3OL&NOi=+14*YH2(qDMwY@XMOBrp<TzX{qB2W=$T0w80?Uw<{LT6
zT)mi$Q4OsrX#;Yd$&AwKHg`bO4AOoj0*A#TFq9mIwqMe!>lB|$85nqG&F&lktVJ!0
z0k}5tx^3|si6n7Mc*Ij#IXMo4ZA<89>A`e^<lotyz4xBJO)$qZ`+JW*eg3Sz((RM(
zFst6Y$fCX#CAI06k+qd2l+l5K@e{F9!n3M6YWcSx9d?wBRmA*;a8l)mYEG^g9cXC{
z4Pqgh*5xvmq`Q=KWy!qNKQcAiDztjtW;uV-stoK*Umt8Nuq4_Fma_8l<0iz)M3z6k
z(*PYGQeCB8pPZzaps)G){Mt>s1I67IIGp<1l6szr_G{<s;vI2ggKL);rnwa=pBvY*
zrztsq!lBfEo|8X+++j?UNl@jKsp;?uOAVW&_PpE<M72s}zR-3i-Yq8~_xdAcrK)~v
z?-+c0I5NPZr3rdseEqW0QKe&u;Y;IpBtD>?5Jl*JPztxL>9^zARROCt6ub{8#~QAk
z%i-InsclsoFNWHeG_3}3&=6xn{M<(LxV2_)Y~Xp1jL3zHp75Q_Nw|B%!6{bpYEb9x
zQ4I$AyDwkdx`u*VU=78)stA1@C;bxd3V%br&inr5s{a+X82%N)k=_3L@mD}q<YX-g
zSC*Z{ge5r!3PcT^`?DUnQeZ$jU!#SVxJItHg!7R~`4E4l%l6*_xxOB}2_NSm2`P(s
ziDH8CyJK19c_FC-_3?h)Izs9zb_p)g@ynx&+RoZ)9U%uDn-rCl>I*7LWeQM`ngpk0
z*Sf4!u$!5AGC{#Dv4zh>8|u=meV?8}A8R5N{SwRpKisulhj#g^d{8u$y5h1&yMF!s
zBzX;FZS>b@Xt2=oFO|42lbC2y79B!eNc9Dzw(C%RRS>-6$mPIT*%15IWg6OODoKln
z`K-bys#GKiB0(wvV%4RlNerEdi;0P;xNA~_z8K<J!@!&w)<hOnx4N9qOg$kYQt*P3
zZcT8$j`9Tbo5=n%@p1*^)>->5{0_yWinu*#U7=3qBY41b=T_VuI1j=_y?Ff9T-=F;
z>EWDeH3e?$LxM8(?ETpzi-xo6D|(MvSXd(aExLR}v}&81n`4_|{oL!fSO3`FZCO)P
zy)~#`IF|d~-GVY|T4k!Q<?rT4JjM_vkDcY&sgpr>e*aH0?B754e^3Pfg0cUC^b8FD
ze@bsmlI^d{gn{lPy%|eLOKZ@*orxJmM(A9u%(d#SgJyozk$`lD?Mg~(C>U`;ZAfz$
zh=_>j?G!_sgcCZkZ6>RP&`&fkj|T3<hjgJ+w6%$$*KMcCzFv&AIB#TRBtDbw*NeXP
za?(X9%ag}}-rh@SEs8{AdwdHY!7>b7afa(VNP94x!2HKM;(-bne|FWvLLQ|kA`Nv#
z|IK+wD_GG#4drQO%f)YRd&0TCLop$c&e>BzkbM=)nWc0}tlM+#q<;^}d;_)L^r-Ez
zc%iUOpFTP!q={TN<yr*BS&2zgk>)%uv!;KVZTzEyj_C8P;wb<4_;mfpkI!G*3APx=
zaFmnAR=qs3P=<UZy{y&BuR+KKEM>jbdf>jiuwR-aN4~zkK|5Ya^P|E8GB9;K8)M=G
z*cLwC$-i&ku$$TRYssHn&ytcV*NKn+VN&)?8YE<I@2Q(>RrsVwhdN6<i1&nB9jKeA
z$qTVl(b1u_wVn@_nB5Gb*h|`^DPvaZIS*iM&s@`{V2K%YA?(~&A2T#ebKW$7{6Os;
zN0Azx^w-!*F$Uinz=6DrTgzzvw;T|(L2D@B#8oek^IXd4(Gqcs^<fba#EguQ?8SKd
z>B0JVjoI@ZUxde4@v{$PxC>H@Pxtqp&Yx=8gFyjgfX{l)CpjqRT4@igitHXsN57h?
z$aiZ5uXUYFtFnOZVK((Ole2%5gWc4^4Tt6+p~}85S`T`oo;Hj=Lsq17^%c|;4;2$$
zY(CWV0rr(YTI_8xAE4o|!nQ56Ki1{*Y<{PzhItUGmI#6!AtN59aojak=#SNT#gS#u
zykgX;AzX8Q_S(p>J4ti_r4w1Y-O5*T3`K?7-ynOl8sW~y35K}oFYtQISIRV9LLZ{P
z!}=B#t)egvaB-Ax>4j6Zj<bAcu^VA+I4DaxJnGM*=`m{K&I>DlzC@d3{*;=4Ix|ja
z7r*{Fe|?k|NMV4`_Q!;T;?a&Moq^a!RbTJ?I{MVjI+RK{%5i<voF~>Ow@{VRQ2OXc
z=`EGyQ!o(3*8S2MsQA9f%2FZa24o$TOcw}|Cey)16p4NwjjHD{3TdQ@LRy&WzV@PD
zSHT~$#V3C^&UIT@!;9S(Ii-=hr@yu%c{oQo=;zvhGtTqd3bE`^a9;jBfEI2wqoncy
z4$q&X8Kp+&V;Fe|TEGGMgpl-R@wqOryS><%s;ANc8R(_tD2JI?gHtfVL+?Vf0=a!$
z2fi_n_a4ppXZ1wz>drOh6bF$C80N!O;GG?Ii=<yX&9#?XMTSn|UT_jn8s{u0`ObWA
zNI&}VD$!{c4icZ66c$OR5|UGK!adkak|kaDN=U$xZg1S>PnxF6_Snc}#gJbx*d{#+
zMKcxt7oBtQuQJ#F*CKmjddn&=G|8`!Qc#xO)Cn?P&t@<-gj1Sq#U9&_r${M@3Xby_
znHu2VL*{!C=fiaXx6abC2K{Ye9E2XWMg~teBC?-kjGDCd`@MJcp~y%f=0?gsWD=l%
z4;iim>r4#y>>!GRUK<J-y2R@?C`-P|8m%6E3&Uv&{-p7x8MJB=Uf842xu6Q;dcYwJ
ztp+h{t^-4En8(rRq_Ku_*~DxrQ02|i{Nz!zZg7y(-D5m(kqicNqM2G+=Fn>OKu0=t
z0yIXt`LPOsnW3)aU<gVxZQvpbN19GFSzTI;)RER%)O|)>rk<fMAZWJ455kWb3Fl9U
zG5k=kaZqe^W=eGV&d`~l{{S*khEIO^h}7Q2rxO(ROB3N8SN!7~V)7a24&juB<5ccF
zHpL09r&q5N?ma2|c84Jb{`4+eA|54Jqk>7=8#K(bRQ#Wk>Ztr_OM<1T>6Yl|B7Y;a
zTHtI66wk`Sn~JLb{BbKk>K7c+2unfr&$EZ{<OwZ%iJda2yTpB~>HfbU3ZI6}3}TPL
zc~yrCJE6cpMe(oCp=41D4Mh)$<c25`vbrb4$+SW_^!!7>P>nkmK}eyG(WiEyK@<}n
zDXl$&R_H&f#!QL`ghCVxNb_fdujD4~AQ>mjU9ur3jS6+ujWruGFsD-=y;5ZL8K};y
zh_J6wNtpPImSG!GD#V9W;lD{~%Lonf&6Xw0<Sn+{CD)$}4Gg>|-%naS6+|Z_iJ3rk
zO*ld_FsRgrIRw5b^_oWaZ(IpKm+^N0man8%-Jm6=z5Ay9d94IxE)|jQZF7jOhVb>B
zlZ&Lk8EsRBHS4~*nPTvqFysbmdDUPKtuYuY4s(I-DAtAr$;1*BCV?9P94I4^X{U+d
zUY8p>IwDDPDcVbP22T*d&r!r)R=G1N14E9<V85D5R_xGGuaj&WLAq0Xd{VD`X|Kj?
z6M8A9s0dye-IgmZ>jkmmSVj7ZTk|863Y-g%tsOlP!{&So8Q(nwN)SOV7>O1}+DXCx
z6)TOZ7m`jQ1MJZ}D4*~L`=kuVyIv)vrPZLyOho~n&b?tCsy~JXosimNC7IP-w*f<q
zR?}hA_^WmOxO{2$draEkKZ(&#0k@D2U-CWZw=%?j<N=ONR_d(qlYu$*s2G}|z}ny|
z`^wf%)E+{jKB!maFoQxKsvdgn5<_e2Vr7p)chv?M)BZ4$UBhE}dUC$TLtJDmSC2@E
zFd^XpKo$l%sgYs`-7wTp8d<^&KUttHCz1c{W~hzVai50~k_mfSuPQHxi8@&qPxx38
zei!x>kt8snO3GQJVz;#1NuyUf_n^|2`YBq&4Rd%upkH;83>L)VoN7i%zci7s?6LX4
zN21mCpA}^r4MhcUqg?xrMoIgF4BX$*c99Q_fz_yi2ScK;gepxn2(Ly*m{_A^tglY#
zE#=d(`2h_qygsK2szZ`53Xp;*;opdIr@{9-Q!{L-47Iu}25oj~y~jS~Bj@JDZkNNK
zE~avOMT>y7JFJ=et296ABimCmL5v@8>Oapp^%TBCP}+Ln@f|LQglEXJtrH3m!n0Z$
zbMFgWOy~}=x-#mB-%`UmmpIWQpJ*S*nwi)g%V%ux@W~&n#5zfrv{1V(<`jqebCCNQ
zr1a|1@IN{2EDKDXL=2a*#spaurt?~?2G&59#_v2eAc`?LPB<XKqt7NE#dJK5a-`dx
z^%Dc{;At?GER~}iJSlmoM@aMwK_g20e|d8!ts%SgR<b;Ocd`stmge(Npt3;_HX@y=
zD3_5(G<tb`RfBJ%xvCvZJ!Rt>-u6@|CrI2NjdyLh&zA(b-(!&MLv%PBl6jS1>>b*y
zq{u|&<mv8F)Tie$6S6k;!*hP3ZS&vAEO;2qYLfMC6BSSa#j`~e1Nfb4On*&cxue|!
z=T?o;n>KKCeZx95XVM)BzD57b>sxt1lKkkrH!Gg+YsS|nvIJ@O06kUXCi!zPTjX9L
zg9yo}wovrUgAJ+Bs|eDXUd^q@6-31)>i3uBkwyi31;cX=5u};4_$!aT9hcP-KTon4
z86bzD6q#+<D^m5K&lQ$N-MC<nW7i+eP);`GzUP&(%*ZE4*L28na7V1-Au^PSY;hZq
zb#FimL~)U1@?eaVpY|w2qB2)(OpIO%n+q_~aNsUgBg~)>UL45`;2;hBh%A@wG5Ib&
zCFKa2@sSntv69H?=5Y-p$y^tm`3kiTI}K=`$zUzHhrjNfo;I9+f{7PL4@mRd4t#7w
z4K@#*`;|GE$JdL-@oMBM5u^!Dip5SjNKx^73>b;BsgphstIQRY#>tGpM=oQagm_`x
zy$zSP1|4_b#nc!Ha^DPExn`536l=8I^<u0@H5tYXjnP4f5%vA`;lDzEz49BGbf!{G
z(fYGP|GaNVX|z^+SL_oqrhs&t6Wu~zbwpTC#Ho5RQ-<VCq}toPxEn=!grH8Xi&s*R
z^YjtK0T_G~!;j1$5<?8~c?1p37zR8NS72)Q;ZGUjc&HeGQqn(5W?8@;9rajoUE~xq
zp{Hg9Ad(Sl1e&@6BPoCj+rg_Hj+5ghgQ-cjI)cVfa&SrE4`(w=j{HUziXK1%SgtH!
zebazA_CQHXjO;-%iBQnvk&FTMMC^>XMkjJ{Aw`Kr11=e|hMQG_Kt>gt<SprR3CI#A
zG0W#hh}S#@AZe@^zXD>gK`bRfan}i3<Dh_3O>i9HFiavTDD`CtBl9lE6Pp06<zVa!
zQF1q9$^tR}0epT9hU^Az68!v2CyKzN7)zWyF@Gc`lRC6%9VZOAw84m6eFPFXdEWGq
zidcBP5$s;CWsHJ9I5i@v$F3dJnV*bdTYh%=qEi%1yNXl*IGy4LBKY*qlHpr&kB%L}
zsDa<fJW&<xLm@kvGVJrMaUDk77G_4n$fyA9l?DMCM6q(4+2TF)7{Ry`M<A7yt;Vzi
zlQK;`QyY35Y!X!Bt5kT@URURj+RI$Vs`Y6It{6*Kjw^v!UD|^Xm0_6@+e*~MPPlM3
zfM3lu16EM-=3#<@KS$?c$7}|&9pFi#7lY-?u1v7e_-IsKntyh7wkCp`ioC2P;W?>P
zq@TI3?ZhDzJ|L})N!7@vX3z0>rQodI+}Totus%)n5Ki!ElNdLbYR!yrpsGf~L6HW+
zAzVa9)|Qk?<&6y)f@QLLA1kh{;oY8zqMZR22N>EGKyNxnud}~CP*3&SyIV7fvZaBE
zX`4aDHRRd>btsaCU}jN2NDP7gE$u@PWC1F}2U7CPo7rlijgBJfTxn}~G($kc;dIwe
z*@)A8<svrGDFdzE0s5%USC9c9<Psf-u=N)TpYrUL@SXo-i|g;VhSB~I7!m^F0A(s$
z7ao(-2)^PAwSHvIeL2(x!I*}Ta!m}6cIMloDZs}?qF%dHLt9c{h4bQ|?1_P{#jl5L
z<qKN|G(^QlVY7PeVp5QrY>*=VMu25THvRc8j4SdXEo?@u(B>_pR1cX?80oPx52wIF
z#B<b}Y)ijLS9JcIkFM|J8I8T(zg{|?WjY^F_gA6IEsL%Brp%@G^t5vxMe)ajwFF)y
zuA0nf4W@nCY@37NNF1CKq-X@JlK-Y$GJ<VWF0(b34*6b1KuVI?Q*v*EsRjrk(u_mq
zEYa_lI4kKP7X~moiaCKQE49?+#<1kdiMpLH__r0>qU$=JAWSj?lP=0kh>zs*;O;^5
zcK`>GUfN)!qdu|bFRO-^#j)xn7$+IoF;+rbA)Z1Q?fx6T4l-7X&p&79Em^WA%6Du&
zQE`Yp^y<)kvq?yfTFs;h_iJ=(GK?rnr2V1U{1mix>KSpm5;zrW5M4(28kd^U%2eAH
zxRCnK14lNSrosXD_qLNj>{wv6S1UagF!FVa3PKawV|w7ODiF#dq3q&tGGaT9lIKwb
zcY&3u$;AZBKcd5hIk_L($s_>cqcG#gp8yX!62yfRg}9qM!FmDd<5`wCkiRO3yWdV0
zKR5eD@8oF*;*TIVM#|P3s6+(-OK?3yREA?1i%Lgz{;prQMm@VM?;H=4iUoVIMQrK<
z(R&@f{NiA_h}ts2!+DtH9MGes^ZWPG{7Bn0;it(3tK1LtR6Gf-AUz);Mgt1O2s3!x
zn}9Qve{&$m>OBgm@E(&zACilOE2S+?o3H6d>HG|-^o~GfWh#)>y9i50bP2ks#uX&f
zu=y0_7-V(yegHCez1vTsSc5GIQ4^w1$N7HvzQe84Arb@Oz=?zu{FHLZ(S!8AR7`3D
ze5Y8aMw7{0@ClRz<0<RPnJSX}zy~$>p7wbJ!iH$V3W>&7%LuxDVQ`j33Hm8^cA|m+
zq2yC33&$s^7;<pVa><djsHbEfH$_{+EP5Gc?+xGEkPs-tMt?l8P&GIfawmh*wB1V7
zn{4dV{79tipOjUuf_yZCQoLx0Bz*KinMQNru}WG;r-*vTP~Xvv5{4|28xY+c6_fpX
zVE*L@dzoO6h~x{n@RLkQ*Xl-PwNgDIaU~wS4Wjcrd?FR24~!5>D`7~FFudnnUg`Qx
zEGLeUgn+J~B?%kGoZUa;y~6;bfNG!)cmM&KA(`kj`iZslmhG)>rpm=ug$;$Bwpk*V
zLg*+b?;rY}5C10}@qdzFIeClB1}92e5^#WnpR_<VIIsrl6{N=|XCTIe9x+P~V{p84
z|FM|=IfG99-${<1T_WrV`AnpmeGsaj_m_(j7o*Ks(t?qgKZS9VTr?F$b)v{LZN)fv
z5hzP7AO+4Lm!7zLkClE8L#P3`-3rmCmaycAZ1%0m<PqEkGOu+rS~$o6?5n7bVF*Du
z8D2sliST46iS3r|lVN0xCutP}>rK?ZBe-e8!0TkPvH`mNOef@4F<ek4%Gqec^P&9v
z0a{G`dk_n%NmxNvXnkwg7qOfSt_Hb6g{DFu6RJ=|YjtU42Isf}DS!~hmDjphxByCK
zA}8E09VZ|0hy_e+Y_kP)iDV7<w;aB3(a8J-1%%Z3ek`9J!O6d^k!(%Z+XAs^_Cnmh
zEs7h$fPw8q=Nc4TAZ?9MNLP(QjF{z$*?F2*^1?XC2s}>t@XxV_3D_b-JsW}xJm69d
zVA@*dc^eo`QXZ4XQk&}&DhYjj`c5CPaWxpB`sU_Kk?fC)S0b)V5GMvD<gX+d+u||z
zhNvh92L{gJ$m!zC_ReK3e|?CTps;Q^(Ti!iOw=^mLRxRs7U*LM*8$Q}29W|Plt*Z;
zIZB2?h+~cm4wTF*CS$YxIf%O?aT2A5SQH_bDD!9&4d+hH)eTbHvYO$7h+Hk0&Z^7q
zUbk147yI$gh*W^k?#S#QV@3!b?Tw-U;=A_jV{@u;t`VJ-Bh5Y>6wO;Mh>JzTGXkMc
zz97-5L|<h92i%yAH4t~oM2Qh<!OgnfNBlX+ztO@E^{YU~4u<P3Jw!(5e2XY$xeq%8
z^gxx(#Y=&7l>AK}Bbq<F{9|<h2WbPkY^08<*m-U3&{bMvBy(!R4BVIks3d=+gRGZ^
z%hoYO&m5$m7@6W9)RFBv;Q|sq#kL3$kxZAA_D8%*wYv=oO<;%ul&(al+b{#tKkus-
zw?7AQqQvUM;j-u7u&vxDT}mmF3=9`szpWEsE_o{3zy>re(5;%21l}s`53ie5J&v?0
zBqZeg^z&?T8$>aoTo@vKez1N-(MZIPD>^O?8-CW>vF_Sj$x-ebx<B!7slS!x45<A@
z?&ocrZWuFe)O~)hfopAO7snAVgJWFAIiHspydPTd?F{FSo@2Cs^ZGe&W&SW%j6-L?
zv=L8#hmFOu)k9`!e@TCi^!)sVH?Y~Ik{_WzT-vrWdbN2rGSSUX!eiy@zTu4<H@>Z|
zmd7|Z$wzTkuC9Av`x8@B+tBw^TVKDmpr9Zs9rE*H;Xl9{KYEJ4^Px|4eteQT?>aR-
z{cd2u7*YFK({OrmF)Je@<mnIM2JbX6Fm$<W#g0cyJG;0rcccH5O@7M#wk8h~h`ou$
zuC6Yns4WaHXZL}FJ{j;LJG=CM?8+6;PR_Y=j{@tR-S77A*wHb0@?`VFA09tWPOd30
z|9;<$i@_m{1L%hfpk2wmA0ItRI&<#av9DiC_w3u}c0~UF<>>X-AAk8`^6dHZ#}6Ma
zG~6Gz{`iR#9z49fM=xFsymSA)dD8pOpNnH+V_i2!<eZV0k;%Cf&B*W}wC?XK;7+Ln
z=a&R%xa^GS1MVX0=vWc9I&f{+|FXKJK|fD#{rvf}gtT;Z@m%1<)QlN3e%wf7WccxI
z4lwgJr~yX?H*Vi94qScqeph})g@u{9`Qo)}-=3`mwm}OkD}VL_lgSA?Q1I<L@a0R%
zm8`8d?%nJA`0=C1Bo$yFs(1<=O)@<7v}j4D6mVlpZ#7U%M@PqHZCLl;zkg@UnbQMI
zMJJvXUA%u^-q_f<u%bd@`}XaD8Y25Xyk%g>m=<66`;Gs1CeTRf1ra~UkbcS(=<QH}
mOpqm}ZlJga0!h^YRPdLNx$Vjd9rfkl&E}r2elF{r5}E*ijsGYB

literal 27660
zcmeFa2UL|=wl0cVmQ}{445$cLh@eCf0m%jw5di_oNd-i*k~5aJiXu>gfJjnMkt{ib
z7(hTk$*?6zP8(#C^ZnMg`<y=So%hCh<Mg}Zj(fYt=thD6-~YeXTyuW&o8O$?JFg_S
zY5nf?3=9mL<j=^eGBB)lW?)!z`In#Z9ZK-C@A&fbWd%7|e8qorC-c4V<=1OxwCxxe
zSniVlt@7_3H(_Ad%OEd%{DO1%NSn(eJ(EzG@3Av{zrL3}v+*w)r-B)_?$G|}=AV1d
zXmRe{>)gz8T=wRHr+aqo;;e|?c%S{yFFViwcE04si8F86*RN{X^Ow~pZoIzz!7`#f
z!PBd!DP;7y#Ndng1e=+DJ0&G+heC(pINg~d^{J%ncHKu+SJGFJM>{sOjVX`(fq}vG
z^qURj>z}Ht4anCUkAC~Un*8DUqZ>@*>)sbX6_BqC2lscbC11}RTqQuh9y|N1GyQI=
zXa5VgIA}NBVk+n2;_@gYq%2&_&bDY-K9F<&uou2<SLE4RIWr-@@|i8Ne~a|&UUPHv
z=z;=C&*}6ihi1;Os!}Bh>bBnA-toB_uOfe*5ySa+c0b>`-MtCVFZU+wFdrY^m-_l`
zii(O4tFG7;EjK!d3JdqTw<R9zsNq^V>E#?*Jl~K~S`ow(^YSI9lGIfFX3Dnh+dnjD
z8nWP`@mQIqgMC$DO=arSY)jw7Zk4<p$DS7M>s-6DGty(a<*}IE6<Jw5hX!>O4UI-K
ziqv%TKF4;KesAxi-~PHa`o)VE%H}^|NwAm_$0F=&<;!bWRu=nZnDX{Ky`dvF(pX>r
z{)-%2VfD18-t|+mvIWcY!}5nV;)+S-)$NaRhvF01!>Ue;g!wMbbQIS)R#jDbj{dSF
ztLaa1ccztd87(i)F*08NcAF{LVbVIGaJrS}v_C5gBco}AL*vsuA9O$Vlbhw8e6!)u
z4Uc|_4*6hZJQ;u6%bc8}{5hRBy}h*xoKpi?v0ukzIPqFf+dXF5X6vGsw=pv2Q?qm}
zbH3ftFQPt_V-4jswEuD{mmh1(@R4zqz#9e!idFXhO4IP`r?ai|zujRj6`@#eWn}bP
z8aC{vW_MJZS>acYS^whf)`{!ol`b~A(xR)wy_V<XDKr|*dGJMuxRtJ<VN?dQh^3bC
z;ZWh$a4f2PSc8{HTWxKC-b{kw68GFf(ZVPt`A(yk#K`NDA*?o>f%g{1ie;2!mL{7o
z`|w4_$8(qZu`nCX*M?l49%*4|Y|#xp$I0qB`|W6dxZUOKHb<Xt@9xT-I(6#79<jrY
zt!A;awIM~@if2CvbbVkl9HH%bmr^uuuID+|dwt;9-BK>;@q5M|<mJP!m+rdWAK_Gb
zm(8>JMQfyU*S(zYZ#Ni?70&ogHR=k$953Vdd;*ok4_>KyvVCf5s<7=Ri_D89H*;pY
ze2i+J%a5n}d+^4`$9DxrEgFZr4#f$YR)=4;wyqvtl9N3mEc_vhVjVW3O!iCMCa~PN
z>&BYRXRL)>Xgvkhj8bN`&wGl9p?PZw%S=T$weRAJa<_fJA|ZlX;@z{ng{qJ4i^Pg<
zZb~PgN}di6?DzZ0JMTX}+}Hj3-DV%{^eYZ#D~6Qo`67jFre3tbD2~dloaY8;OIhOM
z@3#i_=8qNSQ?kd-h=f@+ZE0v|NSYAI%*>=(r;FqcN#xPO9WuOnV~X`MuBzz40#Yma
z^JQ^3$YO4mn*5y8_r&7zVC@S=#xI{gf3{}srR8uNM>QGxebdNo-!a#Gm*(*xvr%iH
zsl;K>vSY5BZDprvq{|ie`MM~-Cr_Rn5D@S$WAk$NrNn;AHPA0wxWD|peGS76CF8-Y
z?K~RB``DQoTkw09oPmQG)PXNCfmw_Xmp%x1eleqzvAXe^IZb|%b87DUBvf;*^;4u&
zewzbM33b#$e<iEsN|<n?%%!(~?U~0%a^^daca1da+7vcUjTB5&x9nF4w!c1{M5z=g
z4sSCKRLomEdgasO)W#`3os0tuEj6B5mBSY1=0n${aK{#0CoF-VJ0ufd;f7UCo=8om
z&W(HwvndK~!?9^{SurYoP%b_3NoZKl(54WFxuvVCtH*OJw?8s7Yo%n1=bsrYf|q3-
z=V-kyNj6hUbH1YOAFVUKoVI9l#0?E>&xwkNTp>p^GpoZYyRC8VXx@Tk|K+Hq@9(w*
z4p&xGG`1=`T*0X?7w0_p_%oH_#1UAYk>Jr=5j0$&NRf83641>ZA)D5lUu<b+R_=*I
zuRT0}_Uzd-r#1)8tmNe6whlL%dkR0Bhk?^nh|y6)3On1vd1?PtcdNUj(+~Ai=d<*4
zu3d_CkeMHdaq)UEHzGi5)11tnVP#-Qlz&4x*<I?Z(EgcUFX#0;5uAkf-8P<0I|7Jl
z3~yweKipYJtKdmLd3Q6lHm}r|ImF7$Y_N34NHflCR8n&CXk)jQ?inGQ_5$l9p6H1i
zPNffawHY*R68-wRv5XS2CDUJ$b|(K&CeKRWr_l6K-*yEd)9Q1hDT#@^3)2)Er{-iU
zt>*bvq8+WHH6ezcE+I2X!^!#ll&@dIBaU9b9MVc2$s#F6qQ)+Hx+T}HpR-B%$&olY
ziVbX(IvSgrnkqMJ#$)(REqTFj^yh-yQ30XQbJMS4{Dx>oxn1{pTJ@_>y$SP|PRXCI
z6bw(Xdg$+QAZnFOQP#<#HSK0~FHI^dD<zV~Q@oZe+S!bX=6&2}wl7T;u47=JhDJZT
z>nAaqV?6ilF6+?isu+LiC%pbRt?cZGB22!%zARZ$(jKm91^tn3j`=SG0s=lJucuNP
zM6nz_V^%9tGhgj2^gBe0#(lMl++7|pi}I5TD}(ub&T(#q6^>W%q>zXakpZV*+THFp
zMs=)82otf=Nz}_d%+7viGt2JmueJ)ju;AUy%=-e%W#KOK^75RAld>;Yhl`E-+PLqF
zPe_o^Yf4Bd$}6p@EuKoU`LIEt;4cmi4iC$X5w!MeBx*4V6i%w1i;|X-p2@9AN-wp_
zYT<mT9L2hUiT}a;{Je3P`|P*7*Rj^6c;UwxQoWDVx^8We9{8|B+vH31sd1bhk-6Ny
z@88~a-(j})&hGG(coG&yp2y0{N^<h^NkQwcIX#YBxs*m~Gqx5Anp8aMiCu(SNnKf9
zNEsKZGN}yy@c!P`z)DR67n6MPg}0)`b5&Zowk9JuOoCp^i{#IU8Lv`O{AE_=YEr+P
zX5Me5jG%Cono-w<nBfDjku&%*tP8QzKR7t}s+rk6(RSy3elp9m&zDYak=o`jHLaCm
z@u^o@0{1g^Y0`J1sz|-Nv&kndEv<)!1K$ucHF;Zannmj2@G=da!*`d^6^;-bq$X#0
zoxmj=Cw>wYW=BkAm>C%nZj`E7D~Hy9>34W8v*+F1*B!T=tEh3yY0CBubNx|luz=JC
z4c!lL7EB5u{J!Tn0}I&ZKbcBnfoo}c{pl$KHDgi?3|fjM(Y=q{<_BW~AFjW<$M(!!
zD<!esN0#s7qdqK+`+J>hm6_`aw8+p;GnThq!XitssC;Qq;U|u?c9a+&t=nAUEeCrV
z7amVX&M$*S*!FwLI;S~L@pO2_{ljiBAGd-?JV4v^G8T$eo!9b2RAIaoOr&KUtMkQ(
z7=0ZbowPC*Cq3Jaj+NyZ2`frazYro6Otj{C8>`z$Y9pgI09MOEwU-=JW%0r1$x?3&
zu3o+R(K@#`xZESsr7x5^)Z*0P5jf1L6#h8y%We3U<;BbtkEFT<g97LA-7$Xxtwa#t
zCSe&>Zk)D`&HY;KbiJA~HN!7ix+eFlDP?p`cDt*Ee^dHIwFK92E{p?DtueP-|8YW5
zjJlKD_rA1ZOMIwk-dMAdKh?gFJW-vJgq5#{C{vl1^nAhSkU-hBqO4QW)6d-fI;)x-
zKhFHp?){O~{`2vO<rA?<N2HqOMtExJLB}6h<yC5`pvzWWJ-vd`yLZS24MrX|Ih&Q0
zC1NIH)tVvPDC#yn(lcMDEK^vwK&`yt)bsJ-@S^-QPf9^R-T6!STY28l(2#3EWNf5s
zyuQA&)YOHPp`qm7$`Gy@Df9YQN)(6Qxy3S><%byud3Y-M_4Di_W{PclD=bY+Oq8-r
zG#y0P#)c+F`E|2+$1*d_^JV;Z3!6u<jcP_EOaMq}TP$QPw0JY_6Sry#>KAKTu%wt7
zyKeo&di_0PxvO>2T%SS1qpCgu_X_onFY)=SZ1@){7e@01%+%D>(yPnrnwuY!AXL4k
zeRRM)s!4yTcju_zsHKnl$jP~l&iOGCl;1m6*=QO{<R^TtagbiPpHVQwz;JQ9+L6ig
z+S=M9#VgB<sYARU1&U@b=MOXS>1?YE5%Bl+_F9?o^2eL+l<{<z&4{}HtU=$YEr?e+
zQc}#&#Hlj7c!}yLQ!{#IxPEJrxrK$BL(~E_+c0f$B5I|e%=BjQTwhpVFR*{+!a)<m
zorjIjSmIR}8ON(7#$->PJn7%$P|26gQ3=;+y%B&hB0DZV{yw&vFLx0pGc~)MZ{F=I
z>PNB8=gV~`KrXY%fSE*9S~kIpaE(u9bi`>@Hl9Lf6%?9UUsCPY4W|@)j=)z~SQX=3
z?yqEX|9(8BdT->g$MjT_p>l8&oB(Tz>AOv$=Yl(2`XjKi$^b>K+#yT7Hl7n<j>Acb
ziF(7Xh|FCwD-$yLT4tU-X*I*=ykzd^PTA{j>k<}?n!g-15U-{r_Cg^gqD_6EUp&g=
zluo-F1H<e4H?o<EfI~SeXF9yR@`qciD=Fe*EvaR!@Fq1<GkS?ysnPli1bS$X4!Vct
zHU^2`_wg|zM%LTzc_SZqFR(XGEw*%rt|epLOGO`?clKaD-NxRjPhp}0+RGK1MYRb}
zG@3qt{>x0eo6Wfhap7r1jpl3bHpN6ovsYABQkL9$gERvulUMlj#O(SwD%Y{tpAWHV
za#Si|GH`xYHq*h9P*X;6q!?cRu-$_-BfBAJ$>r82ku$+Ez(}W6RKDm?G}YBJ^S{>D
z*Qa-}&n#FDyJs+_R`0!J#m&tf(2H>KkIS~tUowD~&AIar{k)arPi*aK9&P;&FaNLJ
z^0|Cqo=4abN&4BGB!JL6bIa{ZNz-jk9maFS6{lB=^W?h2LCL<4XOxYaeb2?tPDjtl
zE0m7q9SbAr%1Ee|rYYs+VkAF!cXvyT)1ZEBgNm1x+=VH}`mc@@D<-lidvI`6bak2O
zS-`cDwbx75GU29FmwFYs4}xWTwz^R>HSfmcrnOi~E=|^z_bPh~sTIb@QC(Azam~&*
z6}J!GqlwqGO<QG3X*YT<P(vj98UrIUmOFHe5)gTe=U|G%<4aCW!cBTxx5zABD_Epe
zmUm2dc&!}8gDxcA@v}FXRJlGb*Wr@6bTPtauGuspAt7)nS+vBCa{iKj%)9jmnLOld
zdg6;eT}h{UGS*JNzhoigIyu0fIqY|0$|d4pkKk7(O7ve+a@!g@rtc;17P@jSgz~aC
zx7x|@VHN>zw;~t|3SZ-tk!)L5*7o$6x4MnBZmizXzQ;xZjIyvY2U`k~0SRquiPbSw
z?ZORK`un12CSC9EjhC!rd;cj^sJrvl7VDWmJjw(1U#Dg^mHzeDt(V_>GmbBGta$oT
zQkH)|psBW6&-vT!akiClHjnw=g#k|&Ue`A_@8r=;eh|c?dD_FnqrRz0&dA7!mJ%0t
zaIR_kou;8*0WTk))lB-bw|Ahjbne9kwS>`jFT=(#e-Fn%MG^Vn5PtpE?x_O!v2xlg
zl^9obwW6u4u>oH_szAcnh6MjZ)N{iYD*W4{Yjnd-u)gz1<y+q-=XlDC!j%^<Q6{Go
zIqW{Y-OPP#6~m$CU!C2aA^-I|+U4Ct6RMF!&Pvb@t#tPD$t{Y>0z5nlo+p|dS=&37
zr?bmx{eTw*jo~}CZ{JQ}%41;*4U)J;pYrJ%%^&mIsw^o8c+Jj!xh2iyI#5xWvL`Lj
zF<XD>mfEo1$HMVi1%VIyL-YdlaPA7bBi%;tH5qzI5sZac1;oXkKlJ`K_z5Gp!?CHQ
zm*3W`482qgYaCVZ@%9$*nyXxLU2Z&4Stgy|8?4J&>BA&2I_}z9-AkFb_-j#Pgv$NG
zL5cZW4Kud^^Z48Nn=V~=HeaxO^^m1c@*bmGmn5DK3ihR^oauJk!f>NR=?z7}YE8S_
zXfBRRUv)&-BGL>;i>Bp|`}`kxtJfVaz=^;^1q|+CkA7<RXj=2bhYx~CdyWn~z12ma
z96lun)*ConygZeX&HPO3!i9Qk34X2DPn(3l+Se(T(}?@pBKiH8J0OKWGMuA?w#mtH
z_T3_DQ#hrOGM4@7)q$)wM@kRPN1&*A^p=U{%2MY#nE?kreS+*}N1ckp^sJ>yR1mSw
zg&!5<;ySe3o0eKLnpVkQPLo+4_h(Iso$^WWo_=;c*?zy)(BOgBqth%)$5m8R^0#_9
zWU`q_)QU5$Z|I+rGwaxqD_&Y##FEFZ=r0J*+e$p|-cD*JVN0}^8&W*CGqOcAI8RiG
z`orfJ>n~(YOiLs886QeW;fy(0>d(f8q*yE^HKl)`G8@p4PAe?Vj+b|^dM%DSS|Jnr
zleYsNwXmori>pdvWpScOEYAdIq`aV_FtfvR!9h#TE8Tvu)^Xw-p?~~=u=a|*n<co4
z+-$wNL2<~iN0!x_{Q2=O>VW$eqFy%qr@zDIGQ%pfd18Vn)j}=I`edV#BM501jTJ5A
z*@tBr^7ftheW75P(~81wSf<sQbyE2`mA>7T*lq?5#_!X$I4%K!(Rf>naayH7*}E+=
zdl*@2V)FrwIoS$4XYxBf6u3+T4Eu@oJq~YBS5ph*&92@g`I%%N+6GHp1BT1AkicG<
z#cx~27bj|FhKgGKXu}nY4x0K7>M5fsN#q1*OXICKI5tjZmKz@y1bv~EWvMMIyT|t9
z@8dx!?)wpFj7Goamg~JDSAE4vxXqi{Q86W*j|jfM(yqUn`h`i#>SPqMH;Iah3LNl+
ztTJm#V5P&A)(kVT+z!9dV$nLyo=O!t7Jv$*JP~E?c6N5|V{RRlW}9x0Ow5NJvG#G_
zV`TPqb6ZeW+2fib_Duv#&wAg;4!M8-ewTvbysGV-h2eru+Sf1cdBm`Bp1r*v3mTpN
z>fG&H?qDS+Gu`+y%=!s0!PjECHqydJj=Xm&UTEX@y%U#^;M1`*>QvsF#r5dEck`vY
zEUg}ImcI5&Guaf)UGcZD$WJDCBFW0MCNiS#wFzR=InN?M*0Hjl^1%GXz^PL{J3eF=
zO(lgl)P^bu6du|2ExqJt=J&`YhmCvcnp2IsgLSRtTa^Hr`enG-ez7gA@f<N?^GP)-
zJN-UhjLD5A)Rh&J<p-XTwJ9wR3D;3=X#jFc#3xe+(XZD|<_D@ea)fxudA)|!?Jw>l
zS)}_^f}xdDS9BKQ7m5G<#~tV<<4a+0D$|k`&pzq&;)l(=BQ_(=-dXiWc_0^8rIj4l
zC<r8$ESrezYyjZ4@>kMJgUbDhFSBH7mcMQB+F2vLV3{AKGou-zXDd$#AwTh<S2?iF
zE`({tJ}dCbsg^Bik40?^Ml$M@QjN<4yuDu~CO!a_mD}cuO=+#NS_Hs*&lzU<8<U~?
zbzaa4ZCL>H-c1H>eAdNF(~l)xZ0}CI&tlnc*J2X#p*~IxD6jpD^ci6|VUo8JN{o03
zC+40Nnc)1<Jf2-^-8wvGK7cIh#u@gzy@4r9;?h|}oB~9@>qzrH0A5_iZIoVaE)PM{
zBv~!9ve-id{oLxi*WddnPJbXH71>%}H}zQZOpCWS!i12vXXhX5^7Pdxa|epQ-xjc6
zn2s=G-m$VY=H-tRQ^vr3`~$~d;p^`AM|nw;({vO@l%G+pHwD)O`Z0g&n<ZLE@dIRk
zqLH5SgT^vf@yo@y!FAlYuh;nce`>|i#l-}F3v0Vl4OiwhMc7-HD7b}$)e88KlrNrO
z8TIp0$OGn9jkKgoSZQi%h7efV?Fp=yj-;XmPHQCRdUs<^8v=GfR*mGuxe#+C6&Gy7
z;O<itvIoz2cr5Lna_sF$)J_-I?~huZjI~Zdd^Yo)IwC4+iu`?nKcyRdtT|9qwj#d(
zp?~J{=H0KPw~QG1O9k`s@C;9P@4`K2BE7A(^6bqVm!_JOM~CARl7}*^5cM6?t3(u9
z37hGXkf81~)8CSA%0*8c9kOi9%*?WrG?VpOF6EC(*5tODrngv5qc$<58dd-BgAWr|
zHVe{<Y-`GPlH-Q3b*O9VH;mGTXkVP{d&MeEy+V;cl1w>-trEeucGMPpp{i6wxhBbQ
zzU{2;&-&Oe{ixE2w}bLb!oyf|%9!$UoPeV*Y#juObMAAtyGWi`iKD^XYGTlDw=nl<
zzdbFZHgc>k#!43Puv&^uv4?N5>ETeaZ!cfI^c20B1`xeGwz4d+>stXoIsIRe@KQbR
z=j9=j`GB0T)>^tY^1#7^_mJEk$|A8Kt8lVbff#0Wi~EZtM?xkb_H+Y#P-*lu|FMjh
zr_%7%psFi`zg0MWk`-u~`tpFbJ~5&>XRpO>wleJWgsSe7Uh^nl@10Vv_J=D*2ql&6
zS=!-vWPAozWdIMcvedDn-=Aurug^lrj&PJ9EUZHOi()<#hX}`}50BswVP*R1F{v47
z*ybiCT1If))d^Yt+&{%+*0v*8vXs3xpCxafufJf2$0;v2K&WG7KNX0j&Hvg!Cx<eZ
zz#ue@(vU`l4F_}qA^JJByKwR6kEAtYF^qr@#fts)kU>~=gDmof#R*vF4Zb9&%xI)J
zRYgy456-fn=i=;aYg5sVbkiC?x>Zi>umOcTj>M4<s3~{0eWr*B#I^UclXp*FzkWTj
zczK>&bd+#UpwWHsVWP<FB=l+s?KBu0<%cjM>W5gq6JU576H^(I=F7C6^6?n9r33A*
z!%0WsJKb24?fbw=J1;KJ6#Ij1;7Kl;A38epD&{hf=RI(Abcf~GdXUtINX3U&KkrB~
z{7f@q#)N8RZ-`-JIL9@-rl4KlCkN?KMbWk+;L0NPBH_9So^pv3sItwhIi2_<?`Z=;
zbo^~zB4LWwqQK4ti`%f~yrVhYeq`UnQJ+W!&O0qHFTasZT9SZNlwg=Ik9U1Y1<~nf
z<}o)Qu|DbfbB^SkuKQYGYW0w^5H^h%8J4E>_&SztNJUq+juo$X?s4gPIR5P}8)vqK
zg#T5W$-B}i#b>&+K28blcvwyStZ(N2U~ZIWzK(c)ag9e+)1CE049`okdA})3j>}%q
z&?pVquMiy_eL0EBhI=(zq!a?`&QA_fl{n;A?15Riihlw(rPh@<oXm6W)G@E;DGUrd
zA3q>9G98&WO-)T@fS6g;(}W$9m3^>Fh?AteeVHPz0)gf4XNqPDduWKI8gI;RET1(5
zK);6i;m<iNPG1E>ee8zn<H}naBxqoFKETiHU}O|+v#-;M^?Ldp@hlvcMnH)im@)IQ
z^cv~4$?FGfCby&f8g_%};$L!rdSb9v(zBhnNTEX9G7zV#Cs5hXTYbVi#e)AjZCIjX
zPHAyKPUb$T5d`z=?*=SqOf}!uju$5dC1PVaBWaZZlyhMse0MhPQhgQh$Li0T@X4DE
z7zXYVPd^J*p{{otq?nu}KI*joyS*`3hBv<$?35+8dw`pJXsWnz>$Odjd3*T~@CtCG
z*Zm~&MrV)*#bM5|QHG~%dE=$b-NS|}u3x=Ymc~Ph7x(Yr)%uIi4!--yA;}phOa<Xb
z%dnxWY%8;68}#|l@0~~C8Kv0IThuRHc#n*P6)BwCGlf<2f*z>L_Wiv$Yxn<4`4$zv
z|EvNWv?K3EhBg>lWJ=rf9vqL&$T$KrfSo-WDIbXG4SI~X<Pn)3J$fW7E32=s4<>iD
z=KG7PYHG;FP`(3?v|ex1EqO{)dui$EF|PqND?>NLhg~g}S#P!rYN1Md3WT++Y(_?g
zEP~4)JeLoFP4hur(c7EAhrYf(`VH09w}1GMQ2Iw>W8;pTCneyFxChtdDZHU5Vw<Hq
zw;e;y@F+OBRX^;>6UlXxaloF&D;8#E<EMS3>$1iytgRbozQiKI3s_2d_N-)CE-F4b
z*}7?E&Niq>RZlN`#I40rqeCu=n~zU%x_Exxb%D(z9<ia#B1J%R!C<)ae&nH3Ysf17
zm+RuK=imALT?_EfDzlRZ_-|F}&u-8^Ce3S5aC8*>yYu3BnGrnFIJjuZX%NCkJ8!JH
z3{vQTy$k)5!~~zNZnqR+cKUi<?yLJm6?M7j>X+yoY8Hj=sYzn3q9gv4RfPQZp);Fa
zJ%{TI74(>&Jiy0?5=A#Nz03#;0s1HdGqFAWN)@;Ly&pFhy12R>gqaK}NH8)I8tQWW
zE0uBw{JNmyNb}L|2SV%B!FXWJt2aFkOsonQ6Jlp4uGH}xKl%2XW5Rps&xcRF=k2{_
z^U<eo8psbACVf{4o_bgNLLmk;FgyEc-`(3c?BMkd6*4U)OabCl>buPn?|;9$=Qmx;
z)Kh=((4`L_BUUkf=hsf-z!iRbc9FXh1Xb>Uim;&5=-0;*PS%8Fy8iZ8u0%Tz<o_Np
z_{}L4c+<;uilSAgTI^54<EQEA=<G(axi;}m$;*t%m}CIAw7TV0w78rcEf|?OWhN*j
zL=GmqD&f-WgZ#?_ckigHtAjk)phXT#QMHAD2cRFXHot&?O%v0JqNL?kg^uAWK^eU7
zojZ5Dy=TF;cSF};w#Tvg()FH)a;1O%elq&mv)@_WznA394<&RX-dc?Sc%&jTOLCw;
zEH=T(xebZYZi;2PVl~?ueNE^cMsIJKSH+q?Q@Hpi?f1YFv{r@R=l%?3+q7v@dCFch
z8&o-O^FQlIz<Ck<<?dG=RC;kdPlS~0?X{D;1kW%vo3)0$)5_x#a>i8fwjboVA|B~!
zYHRNb<W#)h+S-~!JR%_-q859&Zgaz}Kkf8fS?DN3{-8Z@_)HvX(Yz=istp`wm|gi<
z_Kk#P^J`;dpXDrBp@%M=AX(jbt3}EwHMKe&xo3Jn=n=~sM^KA@ZezdUDV)--!Y|;%
zAGF>nI<KxCw0I#mE30warpY*hG2X`u2wGTJY#@FJ#5XNr?Y^Y}3oE&G$y%vzw{3Fi
zeEd=rM79Ti^)0;Dt5>hQL7*s3Upc~NuZc?5;Zrxd^AEWSnR^}ksQ~3SgS1760TSPd
zz=+Cijf}c=*0dALs~Zj$Fyz<cy<sU5_EQ18QskQX3!vzJ`;Omq5Wl^lM~C9VAQbwb
z$X~j_aRnYJYvoHUHxEzXjqKFaFChsool6@FFMU?@1jON5mC|G|uLGmN<su^UwwVmB
zLi<~9JWkCAQk`=-GyH3lMmCBKj#Rovr`8$|$H*wR=Q{lGrzgS*?}pi+obdK;wyor&
zL~P$p4#nQ2pU=I?N3!=Gw$g<X#J$0~SUGrY*~EFVDUb&w_WO8Wby`h7&o_=RA3CXx
zGHEyX27kg%Bj{ho|5;>+0p}3O1kW)Ca$|;EQ5<D&Z)Nwct>cx3%ZEo1;ha&ZA}O9X
zR2yZp<J|-q`{M68pZC)RNIjo!task05iw;`@#rAQ;7^3mzyGJ^nkxv%`0qx^|0MAe
z`LO?%SN*3*sQ&d7|5QcV|FO%-&1b*LOie|F5fSJ%ztQJ|+}vk_d3bnY3JMBtG#qN)
z#^g1r-~9U0J805&yx#qD0&=6B((caBDlh)UY@t;bP%9`Xh#tGB7Gp@SG~b;4IT=c&
z6Cua$Z(<htv=AV96~CviPd)lVIn#rx@3l0wL94tosNC4qU3Zm@sLA0_1FLJUFTu|L
z>Y%Hm6P=rz3$*w6QBcq+ghyGTnEKUuP%UY};C=kkmie>zChfFLV7W8(g)$-|*Ks*J
zyY!}ZN!0oe+W-1o3xAv0?{Z#8=SjhIRz}8Ar9m~&_~mJE%&m7u+V*!+0o7gtFCMVp
zbxY~*PWKcv3ItH@61TtlTN+m5SFr&h<lg14%7MhSQZFO!Up^EEMgZaY2iycJPT*!5
zvdaBzwulOwUVpq*T3Sk8JxMRO7O(ya<;vPxbwNcGGf@Fy%3=RGu(r0=cqJhzX{y(J
z)y7?ipO<9|uM;2!_+JK#|H}Zxf4Q=MvNHDnSU>dtU1%Ji@p)}e9Vti=%5@)v!33yi
z7SF3cQ=nsmkD;rWzk{mG0reJ>n=8i74t2|VJx2Obv)<Hva5vG5IwQB~0`ldtKS*DE
z7s0)2+95)GAEarp3mO8iJ=fl>y3G%%7ch~)&&F>^<@_|DAz^J)E?l@UU`xM_cKOZP
z0%hqr<4;jCGSw*9fI;H57yEHfp{J|cQ4*ge{J8`*Lybrg|9;ODl4bGh+f@mx7#gyv
z#VS!7T$fR3<2f99?rxJJ$^uz%Fa}9cqddU=`QC6pL?}T|2Kbg<B_zVdSc>SrG2fYp
zjCImuG7c`<I2ZIyo5{!QtOZ>~MPGPFXf6eacXV*bgm?TrZAZkh`IUd#Bot5A&a_@J
zY!kld>VxY4@2C(m6M=6cc(FpACXmC#CBGY%o(QdZ4>GSgVX967GG~K<1CPNdo(Orf
z7c7MF(C_O@Ed*}&WQxk{shd1~>eOv~j)sQD4rB|r`EMPs7}wtkge+A=z418u87Kk%
z+@64)5{{PO@l!wd(idv--m39TDk$LHL@7n8CHMf>!Xl(hS#`rC&BFJoQy!nCa8nf!
zoQ#Y}Jg{zto%eU1gTyV+rbhEek#%jdcggc9&4a+!sh2<8U#<D>qN;%bD?l=YERySR
z8T~gP>)drI&wY-j6ssK5j|VTM^;QyepS3S$cxWgZ(m@i8;HNo4UzXq%3U`S~A+LhY
z2h0Z1BMT>6cnIa-BaSY9f47gl3nHKEmY_N#l5M``T#qowcAvAgxwHPM)iubST!k%J
z@)D?bD?n8!#a{bE&w?^zlCJFm{(vfJiD#XbnZH00a{@8(Q-Mq81`AhMZp-iq){F@8
z4<yf{TG$}I&5dn%Dq5$y301C!y!PkLTj^xOMh;|FM2RU;I7+ZI(Fvn8(bZJE?7*f$
zPg?&pT+_v2VNo|f(Wv*SiZ1s59JO)w2bQ|{^zWyz{>I~5PF5nVS7UO(Kd#p&O%2Ga
zca{84X%C>A!hf&B;9s}+J3KzS;d(42D>|s;dU+F$p41~qeeD9ETl6-vP&eu;T;Aj(
zKb(EbRP+}{MihJWNq+-1nFv?+px#Yg7D1Bj3~izj3ObbzKit|Hjq2E|gytZ!BcfRa
z`>&8cyhFgC;B*c%BdG#{!Igsd5NrBzzBg)#ZE;@tepiO05;VP2{%|t*d=z7$WhI;s
zC>Xku-JAZP%d=%NeR+H6Pq>Pwf7RIH+(ck65e>IF5Iq2qWTUQXLr@~bVZ6V3>|=*$
z;o<NPhx~J5__~6W0@~R$Jr$LQyk5vK$4OcC9#`bf4<FdtsIk&hamI6?<`t4F>3Q+a
z*S4(R8=IP(W@m^p5=|E1YqJ*I;A_$fu6=u}7eYT~hc5O?cCw(lkfx`r8^%i{(~OL%
zRU(uOi>RtAfxVaB-Rb?u$F|O=2J;GNz22)`1d<;_Iuc#$re)OR&jru4m`45MZ6hE%
zOmjz<M;Tn+4yd3X%uV!{ffnusM`qPj<X~(g`<@AH4F7gfP;$Qf3@N#%lB#mo2OoM7
zgp?z4N1=(D-c1$A8;C|P0n->5<j8+t9RE%}kTWQx9?ohtPw*doo^zDw2!;DPJRoT4
z#xi+(d-EjcM7RCgL_bbi`QiSZzFH2^nJC%{wu9j#a$L)_a!!^z*+>Eep^?O1f`XAg
z`?vL^{r3H|ENQMe&1{v?C_?O`Xp~OUU3^nHw~e%w5c&=GEgXpUAu?okcK)K-u7WnY
z$GP~r(&Y_gMoS%}qlZy{i-nslGr8nON%h|@KG-0zy1nsBKK5vBGHJVE*ekW3_4_g?
z^|Qg*c(K(QKZpYU!Y8+8P`2^26rqgTBymA#<2?R>DJCbUd!ra?60k?65Cc~;TK2uI
zT+=UqnBDOgnybdp;SzW*<?};?r99nX2@s90YMaR?y?Lto{ornPjkP7jT#TSp<oz3n
zi2IVjSU_~iyVZ^mNd-c=tgIw@1XNU2Yrk3f+`k{4mnVMu!A?e^nOEFJ?#6ISH6`|{
zmOiZcx9@(;qRFBObkK2;&vpBE#~!H3DyO*V>pE}@I?gXKa{aDB^b75u8ipIw*Yd__
z<=ijr8i*s~Z`N#ikI>y!&K30lm0UO9t!WNDFG36|H09|RtvPG3x_#}29q+-uFxwO_
zIZA7w90V`l^Lr=Msb-6m;w9bs#zsyrW)xu`u*pb+%eVD#qF;PV15W@gx%jV6q8;uN
z&Y%<t8=G77V|R`V^mA#0@u39tqI{~K^CN0-;p{W<YW>NJPn*s)kYZSrnI1iIE;;QO
z^Y=Q1Jc+i5wZCjsV9)&}?e1TGS@mn>fs20?wA{!3w)YVGtG(+#9avp)H>T^(-e2y&
z>fHa!FBL@__ewC{{%NC7;vM~)C-(kf88P~Nc%kI{&*kk6`r$(h%MJnJvGel%lWy&<
z^YyxT?l&uO&LtA=v)^fsNXK48(GBs&irV<inSE??XI$JMgbwm_rN7~_@`nxWF@ECl
z1s*8WYR(VRSAJGzyMVLYgPjk_yUW|+wfg`Q<0eDs*X)%ydJ*-VtT7m@38FbAGKKbu
z$eA9ujs*ip=o1KzKnbH#%Cm5)F~OdLTzBKih4GtCL~e>A{#*?U3k!-%MjG?8s&N+v
z&(QBI9M`3Ag#M?`qTHVA#vm=>S$ahO2Jb06C_1l-YL$N_-*}^{6-|HEr%$*2=+#^M
z;zv2?z=5?t(#+%PizgfXBxxT(?K@}sLrCvsP;w-w3GG+Y)6?c<15H0~-t!n)uX)*1
zHYi|tY_=dxy)SQ0+6SIM(reS;H=dl)GxOpCx4K|?eiOQm>RMZMs5^y|GBX=y9!qET
zWIFi@H@><Y(3*(~+!bh78~lzRPf9J_t!<H%8P5{)65U2Gl9G~I1qbAU3#OBE`<|$u
ztMx(`&ecr+B<GR^AHzj<u#E{Gi}{6}`shOvmyk$ciRmyy-X4;NpDb?~P(ycwnWej3
z&d9*P87C*Fpsfv&r2I>IL^6%epXUm{c0#1xx!b(#l^BE_X4ck9w7$%2t_cY(b(|60
z>P!Hy*6TL{Ij$wpfzU?MYcwQ&UQ2qpfZ~f=1<k8(tXflBU;l_>aAagerDaWmdFPuy
z;!?aOe3w0o61tPxFJ<~AUG(E9hn^@{;ui-eCsS~qp(q&7jb))zjkb5%IvZ6GB5`RI
zoR0wUU|W(;z5(rA#k~P#)Ws^-P~YC(pqSzMN0)abio4H-PY8g^aM3Lpb~|SX0LRT#
z;F;Shq31Su&(Cjj(`^HqhG=a=Ly(`JA9w6C8N3!hQvuAzGgoJ=l(yj0uC-%pwn)BK
zT_}WRPYmH{BCKPPlSn=J5eis^e^fn|6dR<Ct<Zy3PKw#2i!nssQ5#xY!(tY?WofNd
z=Wz}cWx6IkoR}WKfi?;wQUNzFrJL7*NAWuf<l+3o9%Xxt`xssj_=Q|`tmFc=%eJje
z*E;vb{U5I8{)?ftV*yd?%{KjDYJ)VVZaS4?t<aXo&H3YQ!KK^B(#-Sn^EJ(*(7e|B
z#3H#I6^lVyhd?gfwY{OK7j&YpNM2L3iJMIn4PGQM3-Y6f<n!tAMY1PR5?t<BS@6n*
z<UrNXaOx=iHEyenOE`O>^Xv+WSCwtCD0^5Wrk+MJ5n3hMA-U$~jj!xU!z9k3COkpM
zGPQ&I?`P|_Fg;sjSbz2h@;!fkyJ7St?Xxdb#l^(~IAB9K9>WO&^d~$Y=sLBz9o<KL
zC{EWvrxOJ(C?hKirY?+{&@NGHJyHaQqBd4^AN|ql6AgHrp+Fu=gi>#AGFB!6eHG91
z^B1iAl_A=SS{gAG0`6Lb+ITc+C;bxP1kK>9q-2whns707j0n3e;cD?5m8AUi6_Uik
z(NQH+Q&Z{bRR8_*o5cs7wtN3rr9f_j??ouD%%SqFvpj(Ud@$Sc_q%2`HeM9ZiT;`z
zujPKPK9ax$^!#~pb2)l(gzN`CpOvGB&{y(!`ELOV{MZ7`0AomyayxHsXjd8Klt;zH
zb25f4Xslho!1+3f;AhL|`}#^74l^ZhD4sSAZAK&*v)<7as*P8Efd|rP4RLxLJysR(
zT;jH}G!v37ij-sfs0=g`FIeeOgTC$5kr7@S(IZC^j~-j<*k^BVf8if4%>S@M_fa-F
zEOXy3L4>E@&Wft}i|)TI@O`EN^c(Tote{&*_uI09=j+yhGWzShcE_X1%#|w#XOl)2
zB4e%mI)lP}Ipp8z^+xpP*DAsdfL&CO_vX-|pz9cO?_9(7ksKK!?%5(Wc^)kR9masz
z6*wI_?PKUFtAMgib?}Gz2`8kAMotp{Z{X4!M5ApW<x!&iFd6kC3b4fV>LK3)f7{zG
zr|+Edh)v|2qQWYLde+;+Gq|`t1ePO2{Mv42w-*+4bo5HQur+=ZOhPUmO9&OmPmcxn
z2^25d!aN(bO(QH{m;8*a9jg+c2ln%I^F3KDaPS1NH8#`J!B<ZWw0}g48|_UzPTz^5
zw?OJz=bQV~AFJP?zPP!az&*HXGb^hqm`v8&C4VUXXv?Hm;UCwzNzYEvWdUu(lj~<>
zkPBB*NE_Eb{svJiy10c|Wods~Cho{(p_JJs(f$Y4dZLcghc+f|5^aocFKpR;<W<2E
zd_Y|7b^7v{Yar6WH!Llc4{I(?B8)0X?I1t7(VO60l3y)8{3x3VEsAfK^7Ha4C_q+8
z|8Q$3C^LC&h{TiU>q=Z~B)82N)QSJ*KX5Ww;ZJ(0M3;%*z|VMW#-OVB$KOzTa)j^+
z@&O%-eWGH}wy1Ik1?P<^!@H1HNcn(OYkuwl@cPGB%Esv@O3AsJvORX^AS{kDTpH30
z6?ZTv#aBJo!51x%QrQ7Y1kaGx4k737kw3jey7Xf%K<B?5B;UgE=Y)^){C<nA2YHoZ
zz`4-F`|q;44ji6YA?oRqo5h}sM$?z7KJk7>$wIJz`?n2qXti0)5_VbnvTEI)KS`^I
z;bIq)8_$oFzG^5)!nq?2KB1qKfZ^3>T|NSRz%XayE>xhx7sj~n^rNOBy0u(vm@>y*
z@!tao<zi0z4*3YsA?jy=$=2Wg2Il$y4l)k@7zpt1u5<kl?|)PEhbU#+qnk|RVgFxn
z%D-;$@0jhMxEArLt*f|ApmGXD-u+T3;tA=ghSs721nOb5mk?ns`kP%c_t72Yg$s(?
z3Tz6-Poqa(xuAQ@5Ps|{8eVeIXCnliR5+R;0i|A@I6=1aMn%HCo7w1*glg|2a<^q-
zD>#dah|Yj;La5z_LkCN``iQo-7jY)eQICG*{a5#do!4#J{b;Mw(cinv{A+Y9l7b*$
zsBdU^0S<xOP_u{@#6brv(1&V@@saC}nbgac<g*i%LcsG2+$KQr>PkNX-mazSPU`3=
zzm2G<sHPwtA0O+T^tm}RUdE;zK(uyi)@@F-r5C(!RJ^*kMO!zry1JS?pnL$L;RKJv
zr+x??O_Cejp#3%hGm@kwt)b+x)ZxYS1?|VBrB7rWT$l(bwaL!TjwOIt(aPM+EY9(#
z^@&MId?)X0jB|YOB)umy8`&-RPxW&rz0!O1Y`%AvBo`LG$qb3ydF1M!7B&J}v{s30
zoyW$Gy;SC#%X7ld2_T*_E>f%G(+0T3*ozDl>v<rPsJH?js#>Oq^ADw%&X5uD3qNn%
zdA|H{Vl;T>Z2j4%0&~45#;(F;qZJ^Y<<?E$$e}NpbLb<k0*}J;*n64CvWOSXG^&?u
zYHz<Jt*CrNM8sA9Yvu0UyW2H#jvLY@^jYW_+_I`V7*U1LokZ$JWELP#l+`7EW2k%$
zW<+wTUX1{JzTC#;p;@$71VLB#@`Txd@|{i0!I0?Xw+b>a4D_3)b@BzB6+;Sbi#Fmb
z=%<+LVk&+NSP&$=49$jqpAnFf3%ZQB83WZn19&4|amdTb-IYihP@__*z1f^#jD{=q
z-rjELH+>Qbt%s<qy_G>@zT?GHK#x@$+{&LGzg6M1r3zyK%8EaJi-4Z)JoT4t%@FF2
zPFT4fS5Q#U(bWy)nCPpj1ny1<_g*&s_~-Av`K47h@iCd14w++-$+<UYl5A%X&?_LJ
zw(Yvdl}w}flb~uMEn-@|=a%JmUa>fVptGEFlX3f-O0F+YZMNX4-Rj97$JuW%Hat2y
z?J>GGxp4BYQI+lA9M&~V`u9f-%cj=Xzg18O&NnLat3qCGSw%Ozr&k(2u@t;eJxE$Z
z>}J}WAj}mc>dHs?bn{kBxF_Kp!s{f5zF9S8DfL`>Xs$1Kl5=YYvn)PAb|1kpM_3Z~
zo_%cEeMP2G9**D^zG!|S*E6^(;`}Ob2c4~4`m39dEd69;Msu!jht{GWi=O281O7^@
zZ?*X0nkVJ{<*WY{w-}Bc|0f2Wf6Ji$w=*sCM8_M^$iEak3JnTU_~xW$yp9>7lhcio
zHIYIKUSxe2PqUL37MpR68oNGrjrxLXXn1(Za(Z=&#H*KHk}G;#_fM7N-$!w>w!OXG
zqGknZJyS&I!s*5OWO#E@ENt*onII};>Mz1^U`|>Y54<k9wa&B(y`|J{W@g2^T2gSF
zQsOgOVg&a({`JWbpm=k+r*Cl8<;7tWs2j{IED{_y&L5QNX!z35kl9-1dMf=sLNXa5
zW8k)Ik(|p(AC4d;lbL{Ui?Jpoa*_Mkt~!EY74}X}nqn$cZOG3v_np5;@<os)8Vj=|
z6d&5OB#$8FUo9034oDc~HTeLf!Y>gJaShm$L<B_3_5zpEVgusWQU4--UCzIPRZATY
z2lu<=t|<r2o;h1Wr~WC@@z}urwkIg^e87|+oi?F>@<1~cx!<_d3oZl=*CWfh)3sX>
zM`KWr)cfw}=s4eNE<lzT@8#=N__U~~NbftpPR2)&Qo`g-N+>NYW`25Wk@jm*jra!W
z2<QCy|Lu(OUm*Kmo67JHywyL^z=^**8z$xEm|Q@sAZ5jms56ih(iDuqCsOSKW;ZXR
z<BV62pKv>~p@Qf>S81pO2QfFsijER+&--$L<0g`9Ja|Cjs-L5ihv&tF(`DbmsSw2V
zGCyB}ZSJF-?Obn2KcNFLOeN~!KDjICLm>z<o@FaRH%~8{zw9K9uIXgb6PktR-g8Mm
zM2?EA!32F)Rmf|pM~)onL7k%#Q=jyxugGN#+f}x%wLy-Hv2Q?6AjIbV%5-&g)6s&s
zU!LgQrK{*E@@HN1=*|ed?GApu#~iz)-Dg#2T0nyYaFCX)1zvg%d(0;O-pv`@N-=;`
zBH{fM+DyUlD+G|?0Up70#P(EFSVQ92{sOF&{IWq8f7P2m)&z1yL_}y~F3Mq_P7bl}
zZ`P!P8-5|}`1N|3$=kpFDs?8`-Pc!m-0;M9@;Zc4hfBU-xH8jmdlReV(HE+5_sz`f
zbd8QA`W?UZ^VHQv-S%*X;Mk&~_RQ=MUKc70lp@;$>-n1uTrVS|fb%^M@~++5%4*8)
zY?KaC4)A;2oP))Ld0l9Ja&;@XlK>8EN#$45aweO$wzf(S!I`%k1bEXssRIK84NNyt
z(pfqj5_+T8%+m6L>f|5$1zaywqrmrQi^sr8I?bQis3Wy|g-l(uL^Id+bFyAv8XNms
zDeK(*-O8XSA8M^MXO?t+9aUw}2XNfepD#Y|QL@mepJJ2rF8>I8Kfg`N)u)LmDJiWN
z^Dz8Fqjz}qg*wc;c*vL49F3YmtTYTyQ)2b8C}t=~FzP{<x|8A9S|oxCjg+iq5T^Wg
zQK)WlXy@kd@q&6>U?LTRE{xG|knk`d61{vCoh7#d3+BAU5ZSo7qGfg+xq5z%Wi=Yn
z4Ek7>&zpf>BBhD|4rEvrXuKnN!gHi>NJ8WTTqgR0`c*$OA-EFGheO@~<04qwzN}7&
zE-I2nB)t+K+Hr7xemF%_jB%+P8(r7f7|aohS~)0|c#?7qe16u;e8A9SN?l>A#&I_{
zH<#t~c=N8vm288>B4{{l^3|N=y%s1P0R?j+7m3B*&^f<#?bzpMC+iSDIYI@EN>yh_
z8Xd?1Zqg{KmmbOn6opm3H^Npx&&mg&eA~t1PioJEdJ8bdWR%f5OL8-Y!WYN@I9jlm
zs%Rahvx}&HB5Ve7pzQn!=}9<(tqCM7+L(Qm5KdPLJUwjQb+R!)RL1)obI0syCF!{y
z!eHe>Vbw7`3(@{#0gpii^|N$V=)8-t+IP-!bmZD$SYaQgSbahZYY6G_Wwt4}E<Iba
z<qEPLW$>MUXBy5aZbwa_QOBa!d!OG&DAZM`Kd8~d_$!S+s#pUy|Bq#@|HaWN9VdcB
zRYV4wX*4N;(Jhr^Yy=14+0)TLtwC(127@k1jx8UM;@-=n4Ye$>yl7P6h+aRy7!5Zc
zu{nCZvXfkaT*}oco>K`N<q$SRL35T)N=hI?6D2X^Pd<PQ${}#jmVMp_jkh5wg<;lt
zW<}^@zCb<-1??vZ$$8xJwwRoAB{sq_9={k!8gX1u84oOQVPQRV@mSE-DH%Al1dqg<
zPTSEMKRLi$Jrs)WZZMC}ILP*HIx-oDoHNUP8HYw}Wk3jS$$hjcLZT^GF3J`CwUzxH
zXfEtpj8RsMk}h;#-hX}hOKiLN40wicx5+p(+631Wqjwh9s`<+-JCjCA4tN*)<?Rpl
z({tqiN+jEzz`~$WiZ;**(xD`O7+paqj}?Pt(x)k}Oe)I<pus~!3_ukY=Q5&;BbyL@
zXZZ>W*S!-qsPd-R?w$`rHZ2uqnI<1#j7p!n(n+twfQ__f(zZ#z8)Of79k{y-y+<ZR
ziHhY)b$Dn`Rnza=6!hZ&cO~d51crp_zcHf!_wwuC?Ue9vPX!*GeSr~%5=25U0q(d5
zZM+_RHBnLM|L=RGrWEHW*=}+L!v)9~Iy6SQjHH$wwrETwmE;&X|7zHd#}i2p>&8TF
zF_7+R+(F19B7OMtUbQ}abqTBjnaW{}SR@JRn`|4sG=TXZEqL~HC=1mk*w?DZ%{7yW
zh&Y#m<o69Q7n9Va2+>1Yy-=hOFPs&4`U={faKaXn(M3c(NlFf=tdbUR($qYHmRvJ)
zbDg2ozS|d6_m>JxoN!fBPHvE55vV%u_A>bbcThabYF7%%lYbJTeQb6CeWD@|)0uay
z>(U>FYV9LR0C`_M2vJUEOu+Iy9^GF~yujW2JW#2E3=-l%QKJU^-m1M9>d}{%9DeQX
zuc6W&^M_~VFjXxO!zA*zsHyO{inH+qot;CmDU1xWsQlUw4|L8b#!bsPpES;+4pVlR
z&Bnr_612{g-_5FmKhMV1&zcyVvC(a_a8NE&u=^Y-wD8OjO7V|qp-)2(m@%xR22;Qy
zY&?c_8~i@xp9eigMuCvtYqAJr;1p6edq>ABXjBnH@V7%<s~@nW676HE)SSsRXg^ja
z7-$5lj9e7*5?Jo;cEVUxf@?^Lh4e#_!X%c}1?-kB&QCv4@R8afsr1p^F-yqJ!9n+t
z`#i}XK>>k=EZu`X)E2O^b*SPK$Bi;HL0E2rQm3+jj{1e7=FZ`JfzXjiAo=+SrO*Uv
zHzggqkx(2FfL2W?PXLV|e<6YAs@%e!p-i<DjTxP`y7AgQ8U0^N6pD{v92yxe;jm61
z!4l>;hwklQq+)s?g-08oYU0$3Mqw@!t!8Dhrp0Sz$qqyF^3`q`Op&3eBxfWPF61Q3
zEdEg-j<FDOw(l9`NI6mc%o#rIpt)vLNGHmbJrB#<F3<J5U6=cS>iHoup$Z^ng0yjC
ztdrrOQPl?RT|v8xKW&J+bJl^2XE!mi>br?5!sJs3DMsq24SuV6tiYDa)A}eei2iE5
zN9yy~7CYDNf@>ohi0n3%p9-IWHpYNW`2dxe(|it5ERM~;mxl=)ekP!g`B(A*=-4`z
zt8hwKR5V1P4Y5C|7WSR^;H<A<-|b8zbe@r+y@$~OXf8J>RLP77;d%EP8p>dtk~ovO
zqj|$Lw8(SHWAvSV?}gViyhtU5j(blexj~plHxe9nc@i4BKW`ym50N(%YA`ZVFA;!h
ztl1RHEgz7S)f%7D{l!1%><co?N<M(@_RU@i!xHIkn`7VU2U;)4>OB1MfF_v1l8ed`
ziNaTAzkd@$-zMFdKR-R*;MZsoENbxNmd2f%AqGutZ4pEehHh&$Qdlg=<o*a@!(oi1
zMK{-#xUx1hh|R&f7E~D8pu4TQsc1Tr)#Q$e3wlEXImomvKpi+$orW)89*(*9OY9=(
z%$He{dUSFh2I@MKY6CfZqy{#D-hNS>?@+YBli2{I)0zN-tgp6}=5jCCTwwWiEiIuO
z#NsE=zuia7J;SW7wy{woQjLE&nN917YTP3tND;#%8j=7kLO5*!dRKE$>=Rjl2V{rn
zc?mQsb~wHLsLR(tbQi(Vf_DKky<m)S1U&jZOfN*Wzc`z1Znax);Cc#)!9<Nr6qzeW
zbPsdUStP%KZmAM{u*T6pz@`$^&h16TSxeHmqV@1UlnoF!_;6e&YOxI6{xU_aDg&k>
z%@=Q>@>cwDEtB4#1SZ+IkpcmU>ZFKY-=y2?QzQfp9Y;CZZER6$=nc24J}A?OdjN7v
z5fRsB^xTpjPW7|$jFK24Mq2AogRF20+=N<&;X-Rug$<j5Hr+VsuZ~PWn#6n&^v~~c
zs8=D;!xmoU3XGN<y#NkURl&zc09aqn9d=`SCaN7uKkeHJF4U8lK!$^98hSWDN8`(3
zqx1v|SWH?)QKbENR;Gz)1g>|zZ@<4j0m=mlpa>m|MGitVH-S_%!I8tf9xD(@-awAc
zW0Ko9^!!0gLolRG)+rZvkM&oDg`ly}6gFC|IA0G!K9GaRRjW~6B_5LGM0E&gnCH?*
z=y)V%VVJOSm<-*;?3{$~$4=>9yeCM&l3bqcCYuU)oS|BC$>3wf&>-Bo)&ev(WNO+2
zRw;30TcqekWT)q#tOtNn0vMn}QIfo(R??ojOv^76)ea(yV2VZfG=_0WG~ErPk^#-8
zBv~+QP<;4CSFl^Xc#Rs&<azw-R?Z%^sQC+-`&44!59uQZnXPj!k$Y=MY+m{dpB|2q
zz9_^rN<|B8V+3~q<9tFj#tyi=k4t7w9-aI}WL7q5Ldxu}RW5MoS4Gl{9luM9{lZ1u
z0~xDH(hsO%k$P(-y(*~m#Sk8#YO4TIpLQJ69%O5uP{Dmdq)@<R)3#%e6mS}ZrFOwt
zE<}M$vxFs+U?GIbTVy;CDczGJNJJ1V@G5pgaj_Z_eP?y)tI+?Ia_$3f?o~(R$3Jh{
z-Sh6}0|hvDL|zW%fei`O0-obO(wV^qcIEp+dN5I|22rd>GN#7C-o6L;K`{WnpragR
zt6-!{&rux&<u@1NH5anDP`u)XoX8gQ_b!O>EtMlJtE9lRYgA`kkheu~xF8va+Npsn
z_dphig$FwY*@^c^hw`ZBHj}|e67Rnn;r-Nqyk9m^-DGAKQupXYyx19UqF#zXUU6-m
z!1i=xl2;OvvMMlU;vsbH{4&^^01l!@;8c9_2zo{9AnBZ^2Yha;<+tY@0G`n&q8%m7
z#IRWYobUthVieVsUs?P7{?@O#c0`23C0`9?Ck7#<)zDNZWbgxrP4XXE8Oj1m0ccqk
zLrcXa(&D-YfWzQgEmyF+1SE0Ex%D1scCMhnB1tGp>5mqH*YADDwtTG`&FrMMPZX3Y
zJgxYL12%Y*e<MJ3Mo7TeVbXZ<u)v5HL1H*iN65672r}BOJj|$mo%HuV+y_pw5djL#
zwEusq%`r0;3av(6WnF<v1Jh@hV+d!X?dC)5O{w(8=@WYYzT0gq(%+moi{Z?PwK
zTuQxW-W0&}g1}JtUW0GC(@#}3j!bVK%%0g+rt7qc&*tr7qme?9#X47A%;X~OtpEei
zLqV00KRb;O<I1LPNw|E<=!whk2?@V-hqzp_LT#)XiiG~J=oOr68}rm;^(SNDu;J3X
zq+BO$z0BsUhZQwU3y!Qy+PGGrFdD`JsX>J)TK>sk6Bpo#%Bb~Xz#$yv3kV@2Ks4mo
zhlpP+q%duWbwp%zhvm>A0FvY$#8tt2vC0Kg)puXGAO_mv4zcjOMD5G=GP+m`;RQ^<
zDkhTq56xd8P9cEIz#k2Ns>}jW2svnvQ9hK0rma_k)oWNO7C`l=udhMZYZ}U;F8b|=
z%I0zYVNA7K6C{9|8k2E8$Y>GZY+a(N1|Z~gnb^}zs1uBB3G$qo$d41%ZX-_Sa6#-}
z4KS?pPa^64>sF<Y+cotblJWBRI1{=@u&p?FTZbdOHM{4O+2p_%F;rU>yIeG#E!d4t
zoV3}6LHeXsgQNUcuJAv}09tpsGoaQ9=wHO-IpqL%XtR=Zl;&fx(0m{;LLvVrA}xpz
z_m+n_EddF$%nd4gJ>jrfVAyvifC%s)1F6QOt@HdU0irb#a3dnI;kIYV2rEqAFvdJB
z4+;VKCu~TZ`QS)w2%?lKoS6{eMy-8Oz~VI0-Ay`)NNS+2(@JZL=IVYScGaXFTcnzK
z^0Q1;s1O&S(I(z+Rqh#x@gHqSA;<y#G-t7Ybab@9VMsu1fOH^`EY4MU!<aRR9TmfR
za0q-(Nl#%l62LnH30EiWY$C$&ZfGh}hzFz=MkL*1_eqeTh>+YGLQ5hJwfmga&{pm@
z61wu~BQyXjS=mAYgXlG%dh73mF+Y9lebO=X%pLRbJjx2HNk%Y9LWm{C3^^Hq=^zPC
zZ@y*+-@l{c0<U}VgglzY>m$0ddeEkVGx@6myvAl&c+E}??-Db-p+jVJWM&V-mzyn=
zNX7vB1ox0+3~|Xdl<oT}o&>ImRQOIA;xVjYe_yef#9-4(cUu_48C1fHB<LB%kw}Em
z$O2xo@7QQ0WehcqEWf#SLmI*Pg<~EzBqM>3yM9~2?J-QUR3LcLe{6?y_Mn+lnmE~k
zn%rA|)7~WhUD)_fB#8e*?SZ=oysa{ZI$|<64V5iT326S7ju~ZwA3m0JAn5Gi&`><7
zK+iKe{Y@Bj;XmflEdQB|S$G(E;@Q957PiVMPe_B6S^t%fgo=c0U<B%=ToA&wZEZ_g
zMus3#!U3h}DH6Civ}^FLOc|~OVbgghhNXZXdsAlcd?|-Iu#~nRwrlnPvR4ynGjtwg
zTgXIM0!wWByhx5jm=iL*njAecE)5z2f_6zxp$CtGRJ)zqJ(hvt05_?spHC-pFH86X
z`2f;nhu_d7|B}LsQ3;?YqS}Op<RkD!I7vPr<{fLcNy==jKo+%PjDze}W<>OMM77F6
z5De)FG`W(G9k)aNV2b3Wa!K?Pk}pzAlPLxvN8<PdNgQ*_6dxb@ok$mLXI3#ho&Aa}
zKURDVxs^crSH%D*eZ)vR%>-ta_IhBlqH1Luhs#uhrVwC1tBDx$RYFcBzy7);2RZ?1
zX4(2meeBm3qV!sNi;tKhq&FFGLWYat*wTLcb!y5+$%p)-2E?%wOE1F6yMBn}%aM52
zVfi3jJ22)_;}*bymd7drl6AyLuH!yx7sa#Uf~>g)P(KZ|Nz@%pF<zcLk{w1*^&7D*
zG*kTW500!nApuaHE?GjjME*rekaHaq_{_d&AAX(Dws#B+^_z)w{(O3{Ui33mCTnC?
z+(9rVIgQMaR1$ZvpQ|Bm8liJbfl)D0$Pq*kAUgI|3IoB~r)Mj8zg+u#d|fXlTPO#R
ze;<UvZjJd4A&jmmm?<1n3?TZKma8$o8uMBV4Ca9nkiHEt6(KJX$ixbR^~^3PBxD@<
zo1#by$E|f+lmbW*Bq99Lx3{-@ZJqFu<!~PPXUqHnaF7+r2M|$DP_Z-vL#7;k$6k|x
z-V>?&eL8M!7QY(002gQiG;=n93>L<XklpuEA${ft3zuL|=428XDMvZR_=clFK$^^Y
zqxV#yPNCl`$-uBJ>L$~&mz&eZ-{f|@xjySPdhcTMiJeC-?rW*wR)14^;`Msjj9)lj
zGOGUMbK|i{l9u;v4SAz8F~RFwDb4$No*#PN%6V#as<yZ6n)2;(!5icXCLT426{oo7
zFI;I4n=Uij!I1M?e8Z4{*TVSbc8-JhyWTI@J2>o@FY;J$9FlThoJ|#89*@6Um*=(O
zIXyEYBrF{CKUTGO-prXZd3br3YIKRXP6X~doqvsy;lY1j;Nb5AuOHi&r}|f~`eyR)
z*LU&s$n=5&1K?h>6CXboO7*&J+rIrXaNh-RE2paee7mz>Utj+W+{*d+h7kk9^f{nQ
ziE=Li&n1)EU;X{vneVGZv?L`YPQ1Onee<3@bJ8}?Y;A2-IeFzuh*a;fnb#Q@9ux@!
z<8XoRuiw9;9|Px>=lgw`*A857f9Bk|ZFc!NIdfkBWn|b<!vb8=m@ygH&A+p^+T8Qg
ztE;PRfQ_Dz>(^g@1@0G^Bhkjs&maAmU*7J|_FiBaAjJgCF<UPF`BRf^V{1E?onP(=
z&;>t#ea)U^fB*9B9J9^4ch7F;mwyHv!C3qAY?`sMvhvQ-*I~da=@YP%6!yl}%Ief?
z^L!&Kt6Q_`feV<-Y(*Iu#Giiez6Tu9k5SzkrQ6-z4Lk}5IC@!HY6@I~uz$|}J$wFa
ze;>EMZmxCtyE!}jwnm-(@#Du$Gj4_hOP{lV+;j8In;hUtS(k3!tX%cFt-bv-aJB=O
z=jL0i-@e@(I5F|x0(gk<Cs24iV7jxrT%Vnt9k~7Z<c%8<U5h-H26+aGNXp8dee@^^
z7zyiQcVFAJENJBuU|Yu0!r}z*Y%Dc3wM&;TPX-1aa706S^5n@k@7y`_`}_Og)mQaC
zyaa~d^!xkfe~<qTp1!ys<_D<+rc8m{BNY$?3Nv6;;mHZ922@oCP{CiuiweSz{&cYJ
P2f4}9)z4*}Q$iB}Z801m

diff --git a/reference/plot-11.png b/reference/plot-11.png
index 113a647170a0ab8d958c30f643752826d5eeb108..83b5cdce3a68e6d7e7d33de58fadd46bea0910a9 100644
GIT binary patch
literal 43915
zcmeFa2UL|=mo2Jgsil@8W&xoDBM6uP$(9n7U?NIXf=WCBlA~p*2m&TRL_kzPvg908
zG6G75Ly{ml=lteASlu<cUw8j~N8fv2kJpY-1<Lu-{`OvL&bj8=Jh*U9a{XF{wab<*
zTYvV9*rjF5R$47vwnFQdRrnXGSKtu7tkRN}6vJ2inLeH7h%akyp1EwcY}u~+<iF(}
z9mBfImi@Nutl01JRxkS+t)DaL`mG+)EVFOlb70M$_iNV{?LNc%YU6JkKN<Z>=ezZ1
z7UOo6t@6Kij_x?}&M7S_!sQp{Uzj)kvZ~hUq)g6D_JX2QCrkg#Ia45PX*tMJx8>Mw
zA0M665IMiHPV14kscAit&8ig&^Akzo;m4-!L|ABd_V%23=sMbWS4MxaT28*ZB$ZA3
zmq(X=(jb3#dbVlkC-TkPXHMJ6*WZGEPA6ZN9o*Zpl6*aLa5*>mdQxi5KX8iLciaxc
zt{3IxHuLcC47c2&^GbagtHZbgC$PV$(DRcMrxLHP+r-3#vvWb`=-#Mcp}IVBa?KNW
z{`KW~d(xWcjoU}3@zEm=b5obR$$7GE{+&B4mgn+zO)=}t6W^}BWwt*_^VeMh$Mp>i
zw5di(ZuS#(`$a~5%5vx&r#@MIyStq=plq^M!@$7c^YbHY=LGxXr?OXzY#bjSk164$
z=Fm$r(KpY1=WBE0YwA)^zt7@eRasdnCMzpD*TL=hz}eZ|-TnCyZHbo-Gu<&2=LE&=
z?d|*0M@vnbtUGhf%7l|XSbQ%FVDZ*;uztuaEU@a=9UG~}X-0NEase(r$F56odH2rW
zQ;9AKl?%!HcAtfrY8WS5SyPk0T6F5eiP6u;+CHpid5CM2=v$f@9;9}=YR+k0%D+P=
zQrkPDY2D$O{QZT2R%_0KnE46n{;~}GpSx6WFrC~|I{uPjOp&wuek|au{=%?_WBS=*
zW}B|S!q{WiKG$~HrKoZF+l>?^&y5tfy}Gl(<-?uTlG@tZeKGmWCiQwDxu1QGy$K2m
zidH|1;eQ+T;>C*_#>N9CK0F51w=M@KtxaLsGIQc*ybZ&X{;{Lw(%c=E4JP?^Vq-nc
z(T?-I##CS2MP^h~RKCSIf$q0+FL(@6jSL!+O$z7Aghpi+Fr)<@O#HD_i>#Td=<jAJ
zY9aw;oz(jJk&u_BQc0tONzD$^3gL?5HnyB<$%hwXJnSR#7y93S+Aw|H-#WOae<If_
z){iT><qw^O)y!6}@>91TQhvlDXki!~VB6o{zp_rlPk5w&?d<HJZS$;6Mnm)B!lX`$
zi;Ih$nb~OC_wKH)f@YiE$mv}cwSoDWJiNT$uYZ32wavyh&J8!?o#^}Gg^i)*cu$qO
zSNGY#$vdZ5u&|dotv6dm@wuFOORq1XMq_xUH+uWqjAE{|L;KFXtPPK&r=)avO?|m9
zvV}u2qDz5FCp2`jFSR!+=E{dZj62h2dcxcCMHftT;_6O(f3DrSUv&Cx(x~V}t+vV7
zSINn+d!l$#NAxS-J?Eonc#Lx4!9_+Md*qy^6Rr$TT&F8tdoJUM?L^-Wep8*#eu7C?
zjEvpMTVJ)FVGF%M*&csUM~7&ySxinJnE=zGgBO*QCZnu_&j&E?_qWnIq?Y_Xf1*0#
z^5)I^&pq^|WTtp~dY}8}M|0ae<mIDR5iBkzCnqNME7OU?Sjn0>f2>^hIx>>eG)1l5
zGzF8uov+#M7_;5bhpCU-GdHeZzn;<104Fu6Qc&8PWLbOlesZV3tyV{o=i}lIa-hHC
z!t{x6e{Ozat>HL7exm2y8=G<SUT*tt>93WQTUImOJSns=)keO@oK#U!X~p6^{g8?O
zsLy1BS(#g0sQ|}7*5bkqL&Jvw3u7U})v6S6gb+hsMoRjy#7j)#!a1|=pC9Bi+eT2w
zxs~7lmgm09S1s&H*Ox$(3R%9~*W#|P-@IYN14LYo+xPvm&t}{H1f|%9Ki6z_v9P|q
z{@}PpkDHQ)_1-);#+r`IXuA%M;knT=Ni#DuJaNIbxEP!99;@Np?QLGF#t%Mi5R546
zZG2QzRFvHH+Vu&QugOZ=qZq5?Ij@n5=`4;Mv{)bk#-x}tDJMKSlYx_ylZ*xKp~+#k
z|2dC=VqeB&Q(^k`mnIU2)KhOAvndyKiDB6?LR(N{uPQ?}$|;j+`y^Uu5ihf@&!Qd+
zgT#*V>de^zYJbf~$Duncx299a?I#<PK1>T}+Wf{k(i!0BV0!uXIOpZqc6H4*<|A5S
z3;jvWO)Ya6Sx3yU{iFWY-+dS(`Mire=uWga=`?vb&b2j8aQl{g_Yhr}(pf+hGkP<+
z?IYHfjqS7(Zd1^Qf`OdQn(wFhHg*4G)1OfD#719Vf5gbhsIheM^Rco$qgj&~gN<E@
z4nrSSkH%duYwBw2#T1`AyWj6w{B%OJJx=L0vT1#8J>6P!CX#JzzW>^EG)})NOlM{V
z%T)HYq|pL4j~rD>hG&C6zu7eeLCUR#xH1tzcY&UF?GrVb6A8>UN9?ACrb;a{H~Yw3
zyW^47DLnW<?i_zmu{}bCEyDb*JEPZ+`b^E#WcfGvi`dUd)XaZe$DPCGA+(8}zN)Iq
zq}hJboSKCYFjZIP;ALmD80>4z-sN$_JmeWQl#dLJ)l7HDQ!1VC*oE}P`N2UsU;BhM
zcfozveG?NB#;xj{S>{?+7mg_*WVsplVpSgBATrhBCX#thTwL64aklxq@nVhRyb?uv
zQ0Z?EyRU`w*nMW38%O8o2OS;b9DNorhh>A$i%hrg5V5oJC|0u{uPPi%w;m<S27?;J
zZGSK<EG*S8WVB}L{;xYXvCP)yr}|}?J&(WDUEbBzRoh~hHI>W#q?_Auy10->HBC-a
zljXXfxuWT8nd5?)NAZ?Z2b1I|bA8uErGx22=Z3hv_a6w7=1SS)lQ~guz$c)IoY!#k
z)B3{x&F6(;e(Pm9eC6b(TihDyCsb5b*OeRZ-fAFvpwi?QysIuBr=-tn4$~clV|TY}
z>_CDslkw%{B-w*`MNMh7U)6T{;poMg=nR!>lZ}>xrfDH8D;bYnlkqUh#JrFV&UfEM
zZS#5B8(?4C)Rg&Qn#2yB)KQ;&;X22~`KR5OwwX1><KpCwh31An6^_+i56GzN-%^ic
z<SWx`JD3q;SQop#bP{NQE4I#1OpNJf_VSoU3+i~S1xem7csRJyhd!R@dUZ!Dtv}Hf
ztL0s2X!poqhqvZAukNy5-buxni94qVHe2T8zs9QgGqY_UecZJYm%O|@XXV*8C2uv;
zvvZ@Oi)Ozv3!S*PVHd;o0DFti{=&9zt{Z(HowgcC>3l-Xm`}CGo9;`b8W;B0XxK(l
zr)|v=uZZUgp8sl;)R?GbK9<+!A?h!~f=v6hwswb`o7+Xa832lls;a(oy-c-!x602J
znhK9cUyw@ivw2e1nWpA{wMN~tKgoRZZD3$vF<nukN&YUzmxI2|bJvav>lQsTrhe`m
z9sb0!aG1n-NhT99yH3I82L$9i*(*&#Y(15lHrE>w85v2JanN0>fA!rH8wlFVU~Az#
zy?LLEbC9%m9>rnQ_ry%so3uY2i@mu$7>$#6Bj9cSbZ@<D+CXZrdU5okdC&3{tHx{^
z2d&F&pL7QY2OD?xcOR<AEX_KC2*R&@Ov`Af8i5)J=xcfTCd9R`)zx0)u{umsbW#>l
zS5ZO}<tP!0YCBKdypk1}#z#xgGmOnsd1=g=u{vi>?VAudcZfRJCH1RgP7SA&*&Dn5
zYQU!uGkGVInf88~=!d*Q@d{5MEodWLe{E`FUbpR#v+Y32{&T|PmG2@V9y&XFawz4!
zJ^Qp(ba7NP?NFM-$y&J!)VlH@>8IWI?%fj^du26qY#FCzFQvFtG%8_lt!1<QQx;#_
z4o@Ymg}G^UW)fJDB>@TXYSO+YYS<0uCijGeKcTMPb?ZU{CLPJ{`8`$PY`!IcYOZ!7
z0drKKx^)e2ntHoaljdVs#yXZFw!4!h$Aya*=>_}VpJp<zyhzfHIMRojSqV>J+u{Ue
zaU1Z!8DoSeE^iep+=ESmzZzFfNBIW9fn@FFVch95`zktYK5(ZGo$|gAm9!|Z_^zRv
z{b}K?>5B>DD=IIAzkBEG%AI*4#U5aEUj-0;u&l3FgGlE~vs9zr5Yc(PqxP*2_UHB0
z#kC=nKD_uwLL6{TUS2+(<GB533Eyn}-Ss^s9$w?O?pZqyuJ*NAio=rGX<NghqTF4%
zQV&ctS~j<50x7&M76PQYax^2xz&naE&!WlzyulK7D2hZpAOB<5&#mD&n`P3Lx3_|?
z@s`{gj=J}yHQ(kv7N<Pg>yyhwW(^M^kg&2^01Q~ppJ|y95Ir9(<5S+Y^F3zXps9qd
zrp{5Hcj4jE#*^P=y0>ds1?F2zrLc^BUm8vs+!WOyI^#+AUTLpe)_s3&K6fS<$v#hG
zr2+xdM}@C_e!fG<>gMvWL+*0tg?W7ZkLpUrCnkEme{pLTG0#_KaUv<J-*nrg*A;L8
zk0aW7VmbA_pQF;g570Rb-O=%H`Z>|Bj4KjB!X%@4e!!A1q`|ExJ<DR@YMNWOoyAC=
z;hNdsE%SF{5xu(pQ`6D%`g#U$b&Jc<A8WsV|DHTrD)^Mzt9kBfUv110!`k=l6FCny
zr_EmtRW(l83%upuFu*in{9vNVcCfwtCrZY+qTR^TfWC2$U{2tZ%n{G%Eph4c(*=?u
z<$K>^)_l_X_VMoCh^|Hq(-Rp@;FGVoAYa4H)27XMx!ugvu7><lZ=2djcrm|4rH>Sq
zyt~!rE;7@lGgGX&VCv0sMzvX%uW<_?(|Hf0ZQ7y-+W!{3&8rk*`V*;n?S)U<7G?)M
zvXI=qe*H>MZxBsQG3_X_n)-HM8%yCqN3pl0n3%e{I`~Sev>=kEdKCW*$<6mg#saOn
z0`EUzQ7`T=9qtK_&bxfwud2gfNIUOg_a+IW2S<Hm8h}PFUW~EWp1im)tDWOaZ!$k#
zlMe_~zxT7Tfr0DYb=&hW$#xMY^^k#w-C<!gz&mV=^W46t-KIM|a$UFQy9*BNkPA8I
zrle`lld|VjPW{jzfVL}@k|iuMU3h+9S&5clt25h^tZ`ry#)@EB>7UAn+wv`^4{K}h
zJMaHe#&MR~?7ogW{cw|2n_EGLDLp-jA7!G8c7&!Kx%%<XKPJEBY(6g&Ox8Y$M93WL
z&Wa+2wxx9XyKX*rV)r@G`7w=z%MtUhE-X!f?IX|Jyu7^Z#0*EWz}$@EOR!*WJgsK{
z#B%5^4`MW;5NeZ7sEvocP0Q`oPo~d<PBM3vU5iui(bL!Ou~+~=J*26wo>53OoErKj
zTwT6hwa6m1<&SkwteLG^ZW~kQ1{W6wWt-eVUxcew4genJtui2RG1_YobY&2?moY%)
z?|k_bNT%^AH9B*qXBD;anGsU){z;p8GLh372F~rCyracL3#D#gD?39YBi$CK0~Q|u
z%0wxR((OFDhX88hvcwD!$X33rY1!x~egW%|_UGUahH)jl8Br;fc@KAPUbmg=;e*Zl
zCv1F<m7ZW@cAOh#RrEYZ-d;L*V+>aMv(#tn1qRbco6I$l6uem;^q$kz)ty_I%<>SP
zY>3OZ&Ki%T<c`;9vS2Rxs$I8qm}_I1Om^fuemqCpLwH+=pM^>^m9yR9!o#+WSZwc2
z6oR;%KGx&;aJK`_Nli8!19;QPgPF5hP3hLdd5jb>LbH*AhrtO6@7i&n$@Gl8!uZ@4
zk}=wzYr8+dJEBcA!V6Ze+a`AU^y!B?kL@G*Zol8HOMUSb=jOkB`e<8b+qBuT(Ol_}
zO8kKVF!w0{G!_q$nH%6rhr`0d+fK90Tp-+ipUm@(B$57pXO(AaJ7@K5(`2SqPiRQ1
z<Km=aTTRx2ISBK9f{B#luF3w&aQuJ;M1Wd=h}O*kQ)1Bpj(0)i?DpKFV_|mP&V6n`
zaB*&w@8F+6tv7_`$0~*iv@y<{{{CFh(wN*0fgpq%F_{+Z9_~KxC?N50$Hj+SV&>-N
z;Mu!|F@tl!p?A=*>PQjCksDuL?cg(3V>0`E<Op6Rp-bTEhL@;!8|Yk2Xwjbc(9^Qc
z(I76G-s2?OxoJH{{67$S?1%7hJXqTSi@PvMg9fAuYwwYxe9!+&A*l!)$S%~C{BYTo
z3jY5WJ%{|{KPM-VBmMzJDlDvW<rhmZlCKR7YO&*dyuAA=KuQl@-gVcjQ0H}E;BHn{
z@V~Q3CV>iyiV_HLVq)=0Ns_9nst-8WU-tC$053w&sjjXDx;|hcepgOal~F;#fR0*H
zQUdZOrFQWfSc#-~ZhaY3arcQ$!=*=#29!yHDnAH6_!6ArU39buO%b|bWW-5MprEid
zAt8Z2W`ZX%BO@bc>(+BvA@WK}2(Z%9(%?s%l;ls~bzZ!Dc_%$Re)hPmQyP~sT(2Do
zatm;^H|pKZhY97OFY{GEvmY1gu)a=rXQR(k(bI|WJeQ}EtE8zJke+AEzMQfXk#4W>
zZ;JBrVgRUk5wQY?mE`63tVoB{7Tcq`@99Bmrh<aPUV8&Qy@TPISdDw_i?7A$j^ESI
zc3NI|CGh3KHTtg|6vcD)z3I`Os?F>i98WV7kW&?!!S<eHdfLogxPjX^+bkd;P{jT`
z6evt)pIo(eq-n2jjG}<&sB-x0*B_NRbaBgt${c=)&tj@m=|p(%OCKk1@xMx7B&YfZ
zX2gGi%t<EI7AcVc4`juBfUh0rg@(oEAf-J7GNvtU7mlbd1xA9VyDLKS-*|{H6nk;H
zs$10U6&ZeTJ_qt0lc%SreOUB!BO+WbQw@n-V-<iP@m#>XCvBjt!!$!>VY)NGBidm+
zT>blEujV2H#4}BTdXE^@$G?k=Y>cRPspBOFzaMA!l|C-7sF=5WHPc3brmJ&ZlA<mL
z<$}j->Y$Y6K07GK>Rp^WoX^6NwJ;uyyu8!o(|W!f(fJC|Txsr%Eua~V*QyjgClYSp
z6scPGb2`g>mt<S3E4TaU4g7l$Q`2tTxY0Ep3$Sd78M*^<n%zWPfLm&6YJtvCLco)u
zVZDisJ^H=Gce}LLp}O|ezi!W*!`I2utYdUKxi>0}l~rq`y>QSb9ZSz$Xr#c|8G&tJ
zTLtY&vK3i|xHL0`KsDJ|wb~0FGrqi@H9z6%?2Hs?=&Hv^9`{N(os~D2Is-jD(LM0k
z#y9=x*(Aioa*DaL(sSc!vFid9Who<&X8PfCUs892XCd8JS8uB`w0LvX=m^z;0Gkhg
ztYow^%-?1C@ar3hY{6Q1l)|ypg=cq4=fmE;I}n~}?%<EL;i=G!ke?=FxgZ#<-kGI}
zaN?aAte(OwDNw9)RJSV0#l=#DEh-}7P&k%S#xWuGkoiNe4aoAa5e`0kr?jk)j1yGt
zh+wNCJ<Vg)Qv0<dZyl|cVp;l<b!ouB-deV?XGIecz?Elz$~@v{SpXu?yDR>Y5y7l(
z{AS+`hhntd`S%fNL8D4u#z$r!10$ofy2M2cf|n7w$KnBTb3ZU7<H@Y!93jh_W{S);
z!4MA6mbm%O&t6ZV*CL`FG~X!>4N$3Plgl+Z2SYyDA4?NoLblMNOp036jsEE3Ev&EK
zwLQMX{D$^{@Dl=qqrPE6&2C12m{ZQwsB>7J2JJrDIKA2RQX(1nXQhzRS|Nww3id~D
zb$v-*nCX>PU-d;&)jnI$YN*B8SvlQmSfW!8dZBZ|?f&4G8kz-(`_KC`fn9xB#li^S
z6rqukT4TOd1v~|G0OJ;Ot>nd%s*5-LL{kc{#T7P(G2L2lId5xgo5XVJt!(FcCxq+S
zu{E_`!BJ6M(=B+w(0A9@jU|EawV#f<#9Zcb6|oEvSCs+b6t#t$?Ck7M&JPF*2)u@t
zO+ql@t*Hd&ooakSf@kvUkKJ>gZ2<IKEXPCC0V|GrsUUq{wm15s%whjyu%!5_+3(v6
zqEawxhVbV1Fu^67`+5aseEHz}tDjg|TUi#T@+G2g&rW773bV2{L1*@k=%1f#c6{TJ
z5Fh_+Ogt5fAm!W{{)`WUb6W${xRey_!$U*QHr;xrdiZIf&J(^}Kzx{ANJH(iBq!av
zb?X`J=6DKBXMDxeM}ye{%Dgc>!@{08@%fe@CbKrBq+d$eB}u~cZEcKET}Ge^U$s7x
zPxzJKQKgl|-P1Q{S)yAfLV>Aci0NR}jw;$y;r6{Vs6EkZ4(k*=(s3I3?n}Yi%4cyD
zVojyHJey`jmY-9kNK1*%Q4<sdB*b!vc3>&o)X>002nO^QKmk=5D*50tym3bQ;n4H;
z>_7=nOazS~!L)CgA<&I0V~ogE&RBT)L*G6%C-i|rZh5*-)`cTFJ+@^jD&7h)jQT)@
zp0NMr%~PhfjR_|q^NQwz+&`HGA^u3Bkhkt?I%X!##hIEm)Ee9n5;)0axI6{{<%T_@
z?R4+-mUNgtF1f~M)9;tL6dk_!A>6WQy~#RPJH6mGU)1bxJFpY#wV6zSh%gCYl&pD+
zzSv?e!U|4+h4D_U(98Iz_^5>Vi1}gyQEM{P?dqp{xjxtZccS`mE!ul0c*8>$(aZxs
z9wDFSAE=Fy(fU7=y8a8Y-~XKAq?CeZDtTwGgrKPJK~9#7pXlxBVP!?xP!hW1*J?Ae
zJP7QpU){BiRwli$1rUHkKbxwFw0CAX_xoJa2c&HLUtVY>=lpjj6S?)7C?x88>lqbe
z$Dus6FJ7v?C<EZ9OHG=YnSuPmf%Nc0r3~VFbEUf9fS&%&YC5i~d+*kyP&!hhJ!h2F
zWdLGP&Xwyq>Oycd0|SGUy2OWDO*N}FFe!hOS{rTF46dSr@5+=p8WA%;DTkkcP+1w>
z%i$Gx`hI3_LL5`xFI%^6-7CDnU=VaaMse8u)-A({SjZ}m$~xbqq@?KdMgu(qO^yhx
z<$PL52%eZ2@W)?J8VGp_N-ry~u2yVySsRj?Du6u5#`+r2`uyqwPFcJJq({I5ycbk$
z{=(K5V<x2ccHClmV0FDE05uqr2CB9Yxqg%KGwPApurT&D5hOqS4WcVV?pna*P-G%F
zzG8Yu9b(h8T_*B}dyL}D4uhblF^VS7ibu18g7#XkR}aDC1z8y#p{4s))x{lgXN$MJ
z-ypTeyO@;H3acj`|AtEGk{3WzNy*!;{$i29+Q`?hS*<HB_86(%K&iaY*L?}8<Jm`o
z-$2TZ_$dKWDHr#<j){Bvex^1e66u?VAVmYs1FUQsvOtnhXhzOJ{=n1gZhsfacp?#i
zy~KCGIU%qjRa*xV<mHvedh^)mJIo&*UxFj-9m?Tq{%oK%XU}Aw<Nx_-(2h5FEqJ8i
z^*at<iSssJ|G&i;@E^?Af5cnx|Cdvcwd-UWYd1XtRwu5P28ACO6ObA}7qZ>OXXD3@
zA15l^#d;E2)=FouyKoZVUj2|}W_qRWSRqoU7WAkfF2XvxR(jtcBlo|DdH)|t6Jb*7
zCqomGlJX&7+VTuS|Jc4CG-_XhsO3OIGKv?eew|Px-NA3npVre{E42XG&d!Fs)bMGM
zsSk9<rc|up{E5-&xqV4A1I+uX)#(U^B)e0_h9NZP?7aSx9$<R{)u$4TGRSP3C7G?;
zuW{3n!Fw-K)6)L|@;VzU<VSaB0PGUukk=oBX~BK1bWg1tTsIXV=RKTnPH@tW$fX~$
zXhX@&8FX<6uc0zgor1Vllb^kEja*<zZ}fpj0$>Wd8p!=jC93Fgt*Gz1LbA$vwEMIc
z?#%<@CRkD5*UlfT?WvO`8!q1ZSdtln#hncT@5=gtvZM>gPz=&4e6n|V=o4K&K{_aD
z>w45o(nP+{5dZoXZBp5Ii87~sl!;knTIS7tPao_)eeYR>yB3foJ9yB-g}}r_UPM-D
zW!bCdnN8*p&MK>_JPqgd6f`xP2g@c)sgW-y5=sHAi^3>=9&89*K(3`_`6Q)aqF&{>
zTa`jV-RtX@FBd-QuMI~E@?k!H<H8z_gX!k8Pzr1iK;=5y3bJpnAgK2Ji;oCN1_18!
zshL_k@kuxj-WS`0%k2#dzA1G?f@dkP_7?Y|&ceoQKlatxnb7Yh^Nr10ph%d2Lg#mV
zeWP9QXg9|3HF%G|RqKN(NOaptF+vS;`Vm?k%^HP}w%qNS4K3Ozc^Swn80~Z{;tX;>
zMfe>R{LUrzm%V&%U(PDZkbGsI>D`;DSepOXbU>A#MN)vSyjV6xgoUjriQ>-IEnjMH
z_VCb4(>gDN<H351j*&U;j^P@UJ$^;wJc6&|?F}fD=04rxN$zq<;&A~}NN#iQl@oj;
z>ETdgk0CNC*nK~TE3I!63=_tmefhYzaceMrx=%M)L4zGmk*-dbE4Fc|?Qq@3>4JA&
z3&qqW(f=`<WF8*3t#E(9LsC1XI!&Th_+8?B717vH>f09nnb`<3E>VmE%JQL|tH&<o
z8=@-G8;FWuPBGQ}A$+xSY=zWBs29nZ81=%MD~iz?yO4qAQy0KZk;m^rNgSI!qKg48
z+}{u+<iGV3jry?qmgJ3e6ichgev?;F$Zh#>2N^jbfd|K{lPrz7G%cWq9C)0M&l`kB
z&(KgN^IQh%{x=K^IFMYALA7i*7$T6#wQX1+Po-NMoMpwTU(aN+XKLlT{3XT}#VDrq
z;W_3f(lq#ruQr!<n9eV}tX0WV;ZTa|tJvwI%Ag(DYG7#C&{r(5#)|I>mJ&TZAurqJ
zpUwDLHu2NS)d43P=WoN^6CWSHB{g27xO22{T&k#BK%sXs=;ciHWsv~x@Ju64$0RL|
z4hxRXtjql4Mh0~?MbkSj8{79rG|Vb;F-eveHgnF;q-l1<?<x-E_Vcvq(>zD5I&yTr
zygqs){mWSv0GH=5F^GxDJU<-R)k{i_tgr1H<w-Gp*#YL|gEqu!Kxh%XN4trxTWQXT
zf*H}*F|$!fc1h);MTxmztZK|4TtM`oMZU$qv8NGrk4WVhR^!y}V5{*er8G6)Fu)PQ
zY62GLIuWJbu*}~u#E7kY$4pLE`yzQ2Wk1T0&R9CUtgI8wj*A+cPm4S75{-v`nnOtu
zfi#MUH@vBHAXnSuf@SK`|5(zBUN|K^g*1U1xxJcs2WE-AF$J@MrZ2&_&<fGXgIH+b
z-_b&G1BH9roMe->R#dHTj;w$a5`TP8Wm60B6Gjrx_HiDAp%3MkISCdPm>^_c96z{E
z_C;mQ2<@|}H~+h%5TYJlu=}A6ZjYSD`i1TUd8)o%C4QXd0W?ai3%=36;t{i1XQ|tE
zO}m%_MoPf23RU&HFG)&DVjjJYxL*10BD6%i*9VL$vb;D|w^=q>U;kPk9T_Pb?8;yL
z;<(-=SYP6c?YXn&Ou@d>4)h|J5&tDUJ!<x-YPlx*qehxQn5yBLpVL)uqmV^>E>M&L
zcA4bR2XQTT;><z0)oZ3E5%79B#pi%`Of~Y$bkr=a=rxlWDM-J3*(<daF`A0`j~PM9
zYy5Zk$^YQJ|CK@rfY35~Z{)b(;A?L@pzKX*^W@5@t2Y{nt^;wp<ug!bzFk$JN-)hq
zS2rkg>xIrvSrt#4G|!6Bm^f2GcTl8#6-aIKO-ZG_=ff{il1lT7O}|W^xTLPW3jnFP
zTD=s4zP10@WTs-z@R=i?X3gyEP5g_YP&SME<2gVcUV1$4ILv%7cZd1>@EQJHlAwIi
z&&u*M+t+lA8&ahd<mGc-{eFjcW-3e}d?w~a>rPmUlI9Nu6Y(lCtrkeOsApwD9Kj3G
z(StSSUZ=BF@g(J)wkZP!!n?vNB5<wd=5)_bzPXpO5&?Ce88+tf-fYQsP;V~s<d`+L
z&y5X?QFP35-zI%<k_XzVzM<hE^EKiX&9kRd(wl%EhSa0EA>9xF0a5C#$74cbA*{uY
zZ<k9En&f+%m9H`%R5^Rv)^_$9H%ANSiaJAHWUY*^`NbWw`M8R9U99eWVkRH~F&c=8
z5lK$=0&@)S4)Q#x9wjD9km3)jN4VW~w>%hJVa18mtO3oO!7YAiXlRI@RmrL6W9Sv>
z9~d;>PW=*inoX-eCRNQnA8yTa%6wCLNZ2H|_Rh@OHgnwr19WiAL~V2r<u&f6G357l
zuWK#Yw+nra5<h88n+dWYBZI;CWTyI|`HbkDKvGaoH|0gEr5uGqOYY{9dqPo%eI?TJ
z8~iD@2hk(Lfa+J4=zdbkp}Y9P*Oz#EHET3wka3Sg1w>>*^+|hrq+@URo6Jmyxbr&n
zLtYOCR<U#(Jq#^&zTUf3lMfQDZrm=mR0ktaTd3s%Sq0Ci&5>EpX813bI>wpysCLFx
zNykKcesYSfq()ZG+60<AG?wD<8K#5Y{mFP~{Cx)W^NW1Y#6t+KnoTqR&SN`j*u{U5
z%f5H8Q;dJm0Jr2_oppIyZ7E@1;b3d|H+<+}Ez2qV^DgWp)MR@_v@9P)1%uIB!$yx-
zUBAfEqScqPA67IW<W1%AWzw@rx<4c)7GeU0^!+8AWVdCtJzIrZGGOM!vf9VW%8aVP
ziK&)5+QdrM8=WPh7^QZ(tBUqf!-TcWL+4<BQ;byEN<5L;aE{Z{6H{s~3OOv0PiT%5
z;O~@E(c8$`uY}7DIq|WQbG!3@e{Ka((u#t(2XPHUO#v(<HsC(s{+QW;w0wY-Zpk`w
z;4)shi$67$O1Lp>C60)#9Ev$02wJe5;DWHm<`N!6F31s;%({(JMZOQ63iwkb^>sy)
zIhLE&$3NE`xnBBGIr-*QJCv0?Zm(D^f!d>tp8!u{v%~BOnC;q#+ZLH-ft|*ReoL6)
zZ0R>7rWsU>juZPj%fit8r?Z1_3=kof*y&+C`u^h<Q!iFEa}ax4rQG>k^BVQ-NsSh&
z-uZCgGI~J&icm>l=SpdRk_?r#^}gubRahE!&a3Zx)`0n`o$Im{>=sfE>KjYI5i`>@
z)*q>I2kHY$?6yb~>-Hjde=4EFv}x+<^+_y3_*(+j-2tOX)$BC<Bze4ARlBD$G{$PU
zwS9qTwVp~EJ3$gne}&xvr){G)FIcF-G>>9#D@>~oVT=_a?$QPJt%<*o1Wa7yggkE$
z?AwTBY!X^b2J=!+WKxq0vST8CR=3w%Z4&@Gw-i-8L+mt6VUjHN$Kg{*-hn#)OQhzr
z$+j>(<qkS7&ML$1rgrng$|G1`&d#JfOx_cmOONA6;falWuDjHCap_`d3rxUz#H{HW
z9+k@O#ijnD0Xorkau+XQQW17AnuP}kjup@vt!Hb<eLd1&NoTbm<_A)$^PYvNGa5xj
zeJ1Pn#~GQ`Vx7}i@V^@ngZ{DutMSpnw82cBnU`jz54i2VtsDM8=WsKwex{*QMCn~D
z`OvbWb66*^jpc4tQlm#P!0tFN??h-Md6Jc3q!nh_tGO*gE%x0(-mFgxx1?Ss|Fo=H
z?qb)fyJ@uV=ijtkACeFQ*56+Ngt*d|*3jW(xn=IxCOCg2z$FpPa}I{QEN`15l;`Lo
z##OP)ly-EHBCfyl*tI<sz^4`-qXBU16poE`SFBUtKt6D?j@>HTwoG_(PX)YrmL8+T
z7gRU~Z;0yO&mg)uT~;^-CSv>2kwnh1iu0oCfB%4Pu~$Zgm3UbRB+>O;v`K$*5{r7t
ztBSd1`!XvdL)eG;sLq+dV%nlVpo#%RJ!etJ2G&90(#52#c}|~&seDn5zn>X~6)qot
zyabO?$2P|1Gr@R0%76a==o>HeI;{8!D#c^ae$W;{m+!=&hr`&Lsp&FDW|~cTn0s-A
z`|b~&zz~ti=*A6aSfhDT>_4pBo`dd=*6mqS;zHw<a>MY39VB&-TF1rtwurb=sqbmi
z-+i^ey!!p0PN1;$&DXO}_vL0S&SvFr&m6kz>}&<QP}|$5=jyxWnrEt$T8{-x%N&vV
z>rqATSo*<4JUWcButmzg!5K2YNwZ8Vahk;x(cabpRdIfNj+D9wz-n*k={+FkE?Dge
z<3y=P8@RPF!DcDG-V$GLRTCN>?n;;#F~%$??;@wkRt&uHL!5e*{4bk&LSL)jL9L5e
z8c98z_N>#l6a3SsT3vJ5X^Y@h#Fo7+elRT&mrTr!udlU^)5MySTXwgo$7qS$jlE%U
zLw?;e*^lWT0}l}q>jRZ&8qE7DGNE8l+y8A~ws~>Es{OGf;VySIXr<+B#po8%*okn>
zd3K*nG+F$Z<l>ixoGdX53da!QFL!;XJ>ZlhCWxdvlaCDW`?geT+7K;hVnV|WEaIb)
zpsx_<OS@>xB3>w*QD#rOFUMWm`uC5LwFd!fD?L3ia>FLIcwmf{+Lk#xhn?a}#^ddP
zt6B|aJ`*g$JiL}2%?lGrZRm+{CG9&f(OFERM7||;54i!SSb5wk3|20H73~&?`y?7=
zXrRw#`#*m|`grzYjOFA-)2i|LY|*%~I@wy;Kb~KCw4;1z;~ziK=NxeU^A|<tpO`jC
z(nqXyVfD8;v@zz7`Q5+WRaT*zIsKs$5qRmwg-TWi|Fz41nt1j0?H?y2f8O+ybyH{K
z^!(#%YESB9V{JRn4K&vDzI<sGXV&Q;+B|!_*}BY6klf=*flXO|OoD2hwRuebzU<j!
ztL)hU%Phfeaawe|a8Gr~J)-khd)k{#S>mVpckS9mB#W-@Ziry$Sqb`jh#Y=0O5soo
z=QdZ9PCv^$63D>6ng?Pcjg!CKBeq*Cy&{h2hpDOZN3WC5JADp6^P;}4Zs+Lt5?A7D
zyFZ!;nGu$_5@+WVZ4ZxWP4v}y9-vLO-z?cp>6*}v624^s1U7~=w@Jv#P6w0qQ9ibU
zPUymerBG&iaM)=Qikk~2oggbKv1!7r??8`aajO!BX+K9;GlKM%+Ul}Pr2#&WzN9N)
zw__SBYK%noRDI#_-RJs~r6}-Q(k6Hz4qd+Vf;30yrCvDj%+ImKBP;_^|17N~ZrLN%
z2dmS$GsZ6IrN+dVc>7Z!+TG+KkGO2w(<++^UiV_4w|7?i^qq#Vz_hfq;~7{D`+kI0
z<Gsv7%<wG-b^E1se9Y!>==|*S^cFwu@Dv<wi;ghQV6+-&4%}Qo+fB@I`|8Wr_x|nZ
z(g0CWq-~7vYgaCp@!lGW-n-A73`DFW=tE2l#ZnP6P;Zw)YC&WU4V5KhWx)f|U!QQq
zerAj&*$E2^2U(K?Nq^B$u<FqUG|i;Vy)mTS&YR2Xd$-vX9Sotl-vXvTU)L&m!9y5w
ztE>mbHo6ggP5e+nlpZXBA=7Zy<rJ|Tg3U+|6nc9!ACR1;+sWS_U(rhX7PRZ*^*q_N
zLrCvIkgE8vFhxc^AocrNqX^X`E~1JM&?cqC%L0YQ<nxhyF(ae?_ujPJ@la#yIx99-
zA{r;dVoN*`4~R7#CKV=>a)zsuGI^S?O7ju7+3V)cacpz_T2qts$@-oF;15~I5{{0J
z-4r4e5T6lZ!)AD26R2{u$4!fPy?js+BIgnFo=TG78A{euS8i9^NFL^OF+_gtLvR$&
z%+6x6mO39R6FLSkrCk-KV1j<E+|e>o7GmOrpuDG^rYSvge6U!c;#F0-Crbcnhecdd
zQ<L<%c$k&)@5dW_ec?b3vDK3?fWt%?zyv-Gf#D_f*>3ZY;)NLHhj8jjishgjp3>L`
zf)T`Vj|HGv-hhU<W4VV_kH19MmtcB8{{>@o#Qhu|8fD&FEe@IoRm|sTP@fQ_bsb<>
z;o+$^kNobC0RL;WsChCEQ_%s99&Y~r{#Qk_UMwFZK3~z<x-wc{7;GD)HBoz@A;kpU
zMv{RSYCAeIU_POzj{&40;l0ipK42z#dSV@TRICD}6HY&G`v}OwSXhExX1zU^QmRaI
zA^r!|d*4p#JFsPKXmtL!KC?7m{fMO7)JPz8zFEf?VHr&$=_MnTNw=d7szj>e!s>e?
zp=c`2wrAIr0DSVzCmRKI=n8u=8m#BNSMnl0>1+15Vt-B5+l~~<iZV9qy2;|u@57ID
zJ2d!44>LbF;}}pdYRjt~SyWJL({M40=Lyq+VV*H`G##_CwOwtWo|PpEs<D$87w7v)
zQzncpZ>8&WiFsKMJ!n;=5shZ8CjEBP9o~bcZj8K!&d#Fuk~@gMm6bI$E$vNoH08_o
zEa-S#q~SBx!@ix3<pHp#))!u0N>lpNt%FU(2#cXo&`X1pW}NgoUNVZ_gf`jm#1huT
zhE+i+Dg0HuqlXJfACE$kDi1a4tv(B#XXTeKk7jzO1`ZqV2nB%;8`uo(SivBz94(9<
z@>FWPo?KYJf>cV3Vtw=*&r2oRkufnxFd@UM9rh|f+Vw)yfI`}zE@x-0cJyeyJ*0;o
zGUKe;83&PKP}49QcP3nqt6G~sPo=O9a~mfsayN~9tajMfDmx8LKz=VM7>8kiC6R@3
z%|)IK{Oym(x(o9v;N#=VCk;wyKyybK6mOLnzlkA_0#EobB=UVxSqn4D@2`B|LSM+e
zo%$#F4u9z%94spd@m+SAz@0p3uZsOgCHe@`F>cmbk*!Do($Pf;N8&y9pG*&_*Io9A
zO(8AMIyz&*g;1j-7*Z0&w9!ao0(dIlVbD!_;07odn&I1YcE6GS%YfO2PAwS4X~uc1
zFAJL#)fK&wlixV6x6HfTPaPTb8??I)hpD%HpVNvBJ7V1i1_pL{zF5=P*m!#4nBLt}
zfw%4|J31~pi=5r*{<xvo#`5B!ZE}s*=qU>fG877>r#D9VP;kA*-m!^^;LJu+rte&g
zr)p$5*hfGnuHxkgME_wG-5NhO$tX;;@%aoi=f($&jg7sXsY;a!kB;Vc3&Qk~6K3hO
zj_{m_Q9r21Vu12aP>d}~KaZMketx0vkwA#8a+0xnn9;s|^+B7OcMJv{9YU7|n0)SQ
z+aAxn9=?an?@?ugSB*W})~AthvYxMD<FV_dOWm7*H7CxY@lD?=-VfHr9MZ5t3K?Lx
zeV4M){|mz(@wLAih2kQX<9q(6j+eOP9g*s~I{x;MTI&??PYCaF^YNKjro@&_ue$2H
zp60<v_ctr^R8tXVrS9A<EiLWp>yt^C7y3CJb<$8u63S@arMLBxglp$Z;;x}@AauYH
z3Q>?#Qb@@D@qVxSe6FwnghnSpDk!h{4VD1YVU;)qxCy#t^Feqo*`N08T$<KTCSs~l
z+*)geG-?*-A-2O{?+0ZL-y*k!@(mIkfp`s>=YO5s6^QY@#Pwu#o{HyV@0zc>I#k$F
zf@DocudDy%1*oEI<A+PLe9SUywy|gH(LYHqFC1iOTu`@ZLPrTye2^T*vCX0IcZ!SU
z#OqZ^T-Z$#!(j#m;g(%i&5cCtSBTKL$(=c+CDu1n(uE<EQsRqLONs3hB8FA5KWz`w
zKx$e<&+@_S=&?R`%_M7745WAW!ASaEx{PznT9fj#`*HqVmJKnDZNOH;PXp%m;7%qp
zC*9uD66uxrP@C*oyuIY(^Y~}J@rjyfO%`~(4AN12q@+5YyMFyTnpux$0_wmqcJ=<Q
zZQyB>7G<RE>oed1SJvD}Y_TY4%NtAzz@?2SYq2*v>LP!e)aiPQV-}N!JMV#hT4vpN
z@ixn4s*mrX$;rw5`UHcvfwV#QGBmUYWzoGnC%u$~@>_FVSNnBh$v7j&J+qI<%5p5w
z%tLH*gTw47ifggT@i#8QQQsx&K{&7p`grNGXn8989YIEwmB%AA6G>CkON)BFv)*y1
zaWJiK7`<d|5BB>zgN7dw5ERrde|whXoP1KkAeGcDYwuo7I)Z3TYf7cH5#agB+j}lz
zZ$s*NG-Md<LqoECE<il$3J~TUr@b9_l4hdHO8HKAdg6wg9_`GZn;x~CMpIv@8~!(N
zGZT#$dDfkN+W}>pZc5RZeC@f`<%1=B%>-GTE+rQAwtNo{vVFjhs?1q$+N*wK3p7X=
zcDXC<xK|H*8aC5@;zYlBX}gDi#?wD|*G|tVj|h9v4v(g$rnlP}@p7c>d}tu#vKK%(
zVWnRyDxQvMtz6n4f_g@%#Sg=V2qK2WE;QZ#G$^YE+ZT|n1Mr540*MteR!g=vfFJX$
zH*Fjq8Q|Ukt{iWfo96-~W4)7>#s<@3&Y+u+$&?S}q4AdyPpu(@Zbjne1zqxZL=zLP
zY~RB?G%-G&OY6TNG#15f4`7KsJv~hgGJzLJLHqzod!*B`%{yyOmkA{fqE3;`8Orz4
z2BH0uZ23BLdk9J=U7N~xoXhY3*mxVsuMJK}cV}m^<-<T6Z4SO)2joq9XHt#}qnBh?
zDO9jo?_kn=z2|S}S7a!AMNoHOR8wOZGSBgOFoVBC>kaAm2VldpII)O8B2__5^nXL`
zsPC!i5t3c|Z4Rv=T(fGlLBEGVw*}#U7EHiTp5sEN;|7620KClsbM5=37qRX|1OATD
zflG4`Nr8Ouq$Wg#k`$f!nmpNLON6%J=EeDD(gB@Ij18po6#xqy2aWlycUb1Gly}gs
z+FtGMxYB6**0p!R>IF%s<Zwm6!f{rjFK)q<U>M^kGnC-Jzzb(mnaDv-4N`M!o18gC
zy)2Oba)6v!h;ic8XbH@qShSfmZ3Fdg&jU0e7j!1;56kdVfg92Ky}A|4$yL^uH<yU+
zz^wps=&a2}=iIKgJhyQ9QQCc_D8)EgzKYS#2Xi{6h5zXtr}62-?DFl~XncK{yau}x
zF-7GNB_2VYm6fzeO2jQ4uNdQ$gsFwKv{OmVL>x{TyR`ho)Nl6~TcH$!M3QjP({rit
zC2fivjb_!;M?@p5nCQW~N~r)7WM&{H6Qo@icU|fA63=c3EfBUU6X=b&lnh#!pN9=P
zcJT0Y_zFN7k*XkDK<q7|owOhbAt1!xhJ65HFUFosQ6l9qf$Wg#gvA2%uV=wO)|VhR
zSR{01PFZfX<eOhOERz_Zzv|5Zb)WsGffs5~M|jn<fj|<}eJb#R#lmgTFd_#2ot$MN
zLI-uD(^=id7%TN-6>Uh`m0Fima8<ojlwmy9uQv_92h34EhI{k<`@E{WDCrq&`Q2;X
zis&h_-v62@iikyeA%2Q47SKtX@@bkhXqJzmDbVw8M+-VG%-zt}cX4(m9j4XMnpr`C
zN0V+?VKV}4v^>(&lWkp2V4(g^bycwm1X0MGof8ad@*n}WVJ`#?#F=N`t#M%6I?bt%
zzQ%<&p;8Zyc*N4i_Te>iPvtIXi<`)P3}oAr2M~U8_M;JlPdKwb!-7JZtFW!c-X)<6
z1T?y(u?M>~ctHD^Gy#F56DY&;Y(p*{Y{jI%6|^LE6-2tIeMqYkneE$5#BCC&Vo1*<
z@He0~cM||&9>nDdBF^kxQh5pz@S;ga1=7YF%sTL#?ez42V{zprOE;~8Sco;FcFV$I
zUxqU6wIn{C61EDF^;LYqwaxV`H?4N>wD=Uk0PSX8!F-0bkH%VQM^B03=zy8Z5UC1L
zv_?MB5Tc!6F@!bgMskOjD#$p3oGW>}vwXB8PRh4PR%<{6r!9L9&1os3CJ|jM53U%d
zkN^i88Gj-Eo}PQgrfA<d>rKlZkEC%OlqM*61L@rqtWG0hsSzBv6a7qcKfO1DCPPc9
z%ev1X6p(oQmwqFGS%TiSfw$XfBFf2~#$Rc7`RF2B>K{p{LXF+g2gaoeH&Lmx`S*G@
zWhw6<AGjjVc(JFxqC#%1RWX_fxP&zhZIdkDLOYgv({;&G`|!u!MLN$I+mKw^3rLrX
zFCQhUAeNDVff#{US@8;r7q&@n0-0?!qS&g6d#&%QCG5PnIx@T<wnD%IZjhYHP`RYp
z*+DQ*;KqnEzQ|WFFm0r#hclltV-&VW_T`Bq@F&DKHhXhxYCN6*OS)&?J7{3kkQ}3x
zq-9T~Hf;lN*m~Il+Y4Z@P1~=F&R!Op?Tf48(iU?+(dv8x--oNOdZ<Do0@?C}{9uDX
z*Q+TA|7nfQ=%Os0f?wjoU6&`v;A=a9go=AYSMRgw=4=5ZL6YpEEq3~}{fKxwf9%jy
zaNx%dO%i)8=$c4FyvK_de4V*aQcjC#l%m)aAb*xNaw%TQ*|U6(qkL>Ob{v1{PbPnj
zCd1dQ>7X?#m&|D&e(x%=WeE9fp8_q^E=w!mWT5@v=wGJ4i$C^|`serXV-Kk}e}M`G
zrT(9Gq>zFRpK-%04|K^M$<=2M2@29JaM%|KAuAXNTh2(3m3WJ*CfEZR2**x5-iTcW
zP(uh!6up^M7>3YQnWQRP!XiqMN$W?yhCDU=8A%4UG1_tll$J~lG{VhTNYB<r{Rv`T
zS);1n$a3ES*!lqum8V9(z1_Kp&r8H8%S86CXXJfbt+>~dk+2(u&=)!iqvnx;f!|~o
z&wt9+77kx!3okDNvv%ZT4!-K5PrWw+FC0ia-~LVLXsxnA%k$mgAXk?}y(-EpE92Fh
z;dlv?myNY}X5iM&!!;{;i2lgf8g{z<(axOn?-VuH-aXZ0)OmG?;qk%(-_4;H6TYF&
zc7{n9kuZP0u#_^L%k@;FmdpVrexWK23T`Mx*+bQcnsmGaB+T1PhsPs9pQZOQPpwVy
z>E?$Cv7rqX_-2)0^+-dKP=Q%<(Jlk)?p|=@g@uKy+^X5WE9U3tPiyc$@eY^bHLTr;
zSuP!!fy+HVeD#!=7}#On%y_Sy0Y)4Ka5CbEVO2)kVme&nBLfCtvXn&H3+wl2|1&)e
z9;Gw(X>RCq7(3-{LG|S|l1j*ss(XL+^w{`#P_+iA6$BY^F)>R^%bw<K-2(&X@N<Z=
zXYCy+C<&0hd$AnQHM1DzB+{CqUYCK|oP1fnHG_eX?OhpLTU*btvx@ckDku&icQVt*
z=*lEnkKzRn;w<E30|Q)Xu$AA-S2kz|#X|EThT9Z^SMk7R>m6*r@>WZkeO5b2SRPBU
zo*q1RQ52kg{dnZP$98PTW?2epbN1n1`<?yUbM;@XrXL=a|HO3vpHuwyPfPz_jYX9L
zsS`@v$9@0;cz+zReVCSzY2b;fsZn|iPa4_XgIMQsy->zUBT?ogI|}UzF;0A(V5L=D
z2&_#x|M@8NuWsf4%9|yz&|)<fq$?7wfWJ*os1;C$HneZD*#m*(boO1RO|W^u2HQGp
z+H(^whMNV}Q7PYFkow;JMq1K4EZ{cdWJ$!PQvOcE$w{PRPOn3kH=!Bx0h{{?)@_HB
zH^S|bmOiHyvja>(@FgvJUs1wgNuXsf`OR7(*0~X_0XdP_5}^9fG#DZo66Y+Dv)Z(=
z=g@m<3brR`CA%fOr<FFY#50ahw(LTmxteL=UN9@k9LN-Jpo${Sp<tXx&W@6qzL?nD
z(0$Q{Z=T7gLqm6thtm?rndg-ztDDB7EX8xYs0R#@Ig6H{=-gu`%hi|?(iLC{3K2Ba
z(NZEYFKlJ01MUKp2>UMZ)#vx#X3!M!${Z%*NUGe3jC%yUj5N(NVOODx2ev$6rxC>+
z;y<UKM(l7W&&0~gmD=^1p0gKK0B%{hd<2NWm2gnn&Oy*6(Dk}wWSaE0k<B1<S;*#f
zq?7)Rh~=ISV*_s?ha%2jGN4=;(!fSO`c!&)T6R)egNO~$C^c2ozZz-bHAbRpVsz-X
zEaF)Y0=tcLT0iXHBwxjsJzg=$iMoC#6aTMO4o27%qA1r!Mpaw8&4L<<E*Pn*J>d=3
zd$^mgNY5%Wo>+ioAX<Nxg#KgI4F0#Hsd*}&<OY~h-b@Z(zHnem(ZJ>v%}TmeSF|IA
z<|HohXsDJy>5Qp{0Cumzn5~X4&M`;v3~CEBh-cAXf1>;C(^jG_R+|z(1h&R{2ogiu
z4IyOQpin$e8P7#!yML;L;;^|!)6pK4g)0RehtT`<Hz67OV_f~x`MqOhLQG7I{#A1z
zB_z0SD-#%cjb7>hnmjTT3<ptW7?ra>adeZ$aimzIw5sar;3f;^kFG>u$0y=3Rtzxf
zSo3>4V>IZ{6%G9!qlnI!nPjfA&NIlo<cUr3V0IT&XisV_;?cglB@(T#CAoIgBIt{f
zgLO7GHup06`u3mMdg0KvHk4^xHRpSjh~s4n4TQpdx*(voX<2B(%vmimbepI$b^~Ss
z#3G$X_GN?e!f>{Zq=)PSY%PsI2M<XR8-jo%ZSP0N;q8tWW6nPak@49?RAtynjw(hd
zAJNI4Ej;gV^c;W3vse$==ZAMA(H`zH<1?y1-l}4`8flUtHsCDBmbFKW8<L%!yZZad
zhL@G~?#^93JtTv6_4Z1e`-&S*>ri?_Y!TVmW_~t2;gYKbz55i>FJ=y0K0)WpD~tvE
zwbL%~8aF)eS>PMupa9aL1LUy^Rh9ZVwW+D8a&i*Wt9+{uaOzho)mMMk`peg^*cz*N
zRGEVuS}sxz%Yl^U{(dY5$fEMpvQIIMz||IMI}O%*#8ejm2L;(1DxHFU43uLXQH5Z9
zSN{phBc3xcFTK9<Rx{k#qr|?>YIQBc0D6+|kR1pyGk(wIZfu4nyOqedgme{5la}S*
zS$g~Wm`tyieR{yJB`r!6WgxUf?rpB2iMwJtcz0h`avN8~tP?m0At$KGfw}3HylqBM
zW1?C6(64i;CYZ84R8G1TqhzjV?!|-2X3Ps6NNO6fV=g>>VaMYIgW{7_R_Z06PME$Q
zzZStGl&8X`L<H#Jf-8e{BR83M8b)~DA3ej9_gHVIk#^*52~&fJzGkaEyH|W_B<?Sw
z3d#@gk3#X65EH|#<WgzU)JX2u^q9R3q@2_ic%RwDGIP{#7*-ul&zqA~N}6t{xuFTC
zR<xBCh#zXaSy<b2``ZBN+Q3c#wLv#6(SC6RjF;@HnPh7?KQnI98<~^`Rx%bm8){);
zkw-K|vW+LYKCnAd48$3a^kcLc`0i*=bc;PmCGFDA&ge7USBet!@1671ta&P};bANZ
zC=Zi|!`3kt(H&}$JCqo@)Xyt6ocIla|M2G?!t<QI8dk1OU$NCScQ@rpW;kCf=?m~R
zPCW=`5d+bLiG|`Ts@_C;gj#XJU3j9FY@P<S{$czraywVHFrdE~I|{TC5$SyZX|y37
z{I5LD!>CPcVWXX8EEbI9v&%Xj&e;A?6+QnY0r>w$>iv)J!n}%<M}IQ{d0N~YojxKZ
z?xhZWl~4$0XXqlxB~fPtQR^g48}d4JZ^M(4_()TM3uhLxgT8*ET5|%72rda`NZ=A+
zH2^UutqDQ8QfUplHBISBDBkfHRgYh+%n16%PE;)NX%FeskaHmVD75^Wyzc)BUips)
z?LVY{|6NZZub!~(N;}y$80rku*f2^tTf#$MqKHISS0)t}9eqBdALQmO>TPI`QZVur
z7kju%ke6&cs_)CgQ@7X<0cnGl1C=6GJoRlokD|q#?9Zc6Z;YLJXspywU!NocV2^h_
zF^Oo3kdN#?#0Z`YI1m>XM}q^(;VPY;Z#_ZxgsS!N!BaeiD3r2OlhWN2${lt^KEsYR
z{WBA2ep3XIMJPwIlMj8-j(v)s30IH2Kfi&uIxM`{VGA#ehhgq)9H9-$;qV3H<OY%{
zis#Rlz4!K;&v?-_IOqWpcKwVMD49!@{5cq-AI;0Cfcj=!nM9m+IQ4_w)qc&qyarNM
z5FZaX7n{KE8zjN1Nm4_au}|Ycr%%)SphgRgRqLR{xStAqq+$z@gpGNiOp_AZYBfC;
zs^=G!I%gJ|uty?*6j)#LAaWw=b&y{gjMHf3cPO<X#tSt!X7_$*)v@-)y~+mg=_rKl
zyNr}c9p@|qKv0uWIJB*p*#Ku&c(?EJ9k&GF$nXoYu_W=ZNCxZ1yCtlu7dXeVVL4^P
z7DU9=&DK_5AJmq69B<Ykqx4e~Vrpe`OZ(L;8c0kBwn#0foIiiQr@!-?tR&CJ)Z0oI
z@ifd$Es}=(lEKzIr|{GVTl#x@&D@#pAw>a0muJU7Zzh(3qKrgjP|y2xa;!yJiA$0J
z2c11*ACpf_jG{&<8<D!kIk}^GI`UMkfBAiN@n%|9%T{$W(NU40qHOv&J)n4DQk521
zCH~raTjGBLz(0#z|1%c<D`U|Urk*{Z)0k>*f==OFviF)nO_Uqiw}@;Ql+R=)18dqq
zVlfTdNbFxexOf>3N;RAAps&r%nln^l*hYT<u{h)a4DA9_OKYTQ?@nKfIT={BP^}@`
zT$4ybc8hZWL8I-#Mz)9~j&pxFg5U-FW}HNGa$UK#c}OCMSYH8XT(Nh`JR!7V=&1l5
zd5*RwvUw(|B8<}BTy9n2N`s0&ZY}8|%g{F0T<kAnA|^(<S)m;xxDZ2>m>BVJrIjp|
z1SIUU(~KKa5tmSYK-PWc*Gaa<#4bZ{Hz!?Q+KT8Mos}lGrAFT!M0ya}#6F>?`_H2a
zNH$pd@u8E*2JaFf8;a$y+^IH2^$E>YSjmtr_--hx7V2u6<Zc}XsrIxtgfVFt+xO~y
z;e}FV5!TeG4k$nx0ojdeU^r^BzylJL&r_`$_*2SN{NjM6eE}{UkWGq@7emK>Sbt5W
z&Z1cyWX{SYYWBF71r=o_N#d&kRDH<E7sYOb7Lm6wc`!1{!M4-W+Zzt&43Z1t8}R)d
zD4oVhjcEM}hcF4vjQ9zI^q(jUD1#M*gPg4e(*%1nY#tGSz{%@cdo-#(kz&nk5Hzpx
zW)tbqVKzXB{}E7odSY4b5~-AvB{UwSti+d33CX7aKn<?UI1w9{rQ~q|Aye$vc?pv%
zUG>e)SryAEPl}tM69O9t_h}PGWcn(OGzEezq#xTmSdBe+!g*hTBT;PRUfv^B+i~8f
zNM?#vzgzJnQZXk3rs)(=1<DFDPKu{G6stBpaW&JCldE_qAju5uObSQxRGE4-MoKpF
zkHF4cWcMze^!p|?;^bx~%m?|ZUtnL*@3RQ%cpz9%KHDjuz+tiWWEXNRv<q}^fA-2U
zy=|B7EOADC_DFzNCsVx{y3|p}2yw%mN>F0qvgFuq4=MNs_~Z9kl1O9oRhaWshz-3i
za~EU+8YT>U-A=Z}(VewGUHZC11P?Te2KNNwjM|;g%(ljAU2X(rnjW%GNGmq_vLV_-
z=CB*(ncsCR9olAwtgH+D%?m~$E1LFrXJ9Q6OLCEj#m6=K$u8^`VZl;6roJDhq&>~l
zt*FlINYJF8@!C7%C0oi?_l8pUmQvTw<Rgr~zX_yR_bdIGsarTuo&=V7)$xsXrRImf
zyK4;R|4fdGG7kCF_|_Y{Pb<;QD1&%*J7iTI22vrr;c3MvR|!1f9SUa$>5OrhpJ7*e
z_7aY?a-|?lZPQWn`_7yJC&{GE@rpJ<1xqpIbvv1!V{T3`fJ(y7;mILYIyKxT-I*=q
zCy9#5ePONQkQl_BNK>9d;s?ii13$(Bbz|fsheIv!%=E$?`%iP^uF}U=b&bsW7@e<;
zjp`jPPb$zm$*?h6J&l(nd9{nCWcSCrr{KOh4QU*k&iUd?KJ5!T1q}Mr2CKMvzqdcj
zpm@W|s)3@_@7#BZ8yhY}%*nsS0OFeAqtk?0u+ExDU@*yJZ^$_6AsWNE0y=f~)Nb;N
z44j=wVLZ_`9d0TI?CA=9n|Ki#uhDdbWp6}U+?-GROOFfNzwo#S(ke-2u=H*Mjq*S>
zN@!S@RzUkzw-WZu94|(3@(Uh_EhZP9dabXo#VIy+sNTC_AG+i|v)S2Mn$3@K$U|r8
z!l&tn76M=?&n2XlH1X2hX4ow=2lZ2JxYtauZKS7z$t_D&THrfuv&L%m^Ajdoq-%xz
z!ixSev+t#TjHvEM7A(cjd#%h%PLF?GXZmlFf|p=C(dD3s>h}`^vpZ0(IPt<`GAM+z
z=@B^=E?H4l(wRfAIoG<K%&UdotObsRg~3G;R#vioL>?Tf8km4)#6SVd5ljGmab@mr
z+y%mlw(jjjfz$YqYT_XXjc9hV!Va|L!=p-$<4VKun`4eN&o?%U%gTy~IQ9(=a{EaV
ziz*STXcwDwT;$`*oNC1;dBV09b9Djpm&wW@S^*jp9FXPkyBvtmkgP!LzkZD9z4Y|k
z)o%VyR8NJd1N>yG;5o8?+>((Y&x1vi+yU809+B;3T1+(@RAz$JDw%fHbDu=#PK&iu
zBF0Ap7KLbDgn~)sUb3$invFv6Kv+VytK1Wsu%B!`si604d-m$Kb|l$q*&V+ofZPWD
zT4q0BM%33If2G*9F~Y5*i0j6sJxl<3x<9W5&<&6+KfV&X@-LVZJ2i=iMA=l?<vB!}
zD_B_}9Y@V1qUdv}nKY%VjpJ7gXmE`8v$0H{iJF<feR<AQH#Yi(X9}Z)It<}bjO<a|
z=&Vs|u^-j0AfpL)%XBs+YD7p#NM#Zn)W?+URbhM#rH~#Qv#KN*vb|=i5mmx7@km)5
z<D9IfRY{uIO^n1f>@rlMkj1)iqB<-zv{0cLiBsBMu*GSGX%!zf$z#C3M@N^*W>X=I
z)f4MraTRYb%2MO~oD^$m+&VzUrDixVo`z>;K>118Wgv{*UC9^h>>7iDmyAckh>0Ri
zhu?AcuhQth$&JIJ>Q_FpCp+W*KfS$qG?jhdHhxNjN@ye*k|xPenT67oW(gTGlSsxb
zl({ICxkv*VR7mD=lPM$#sbtvOm?^_X=J`F&uKRi3->}|4pLea+wbp%I-Rymy-|uHQ
zj^lHD5LC$_)67#Revo57<V63!`svST-$2m6F5rdK>3q^oUDB^R-VUEF0g?3yR2u(=
zJm@3Ux~%Sx$9m1gl6L0s9(|z}hriO4tJH1tlw|gPWJ9o1Nd7>`;PC^memzY7KtEn*
zoy)HH9p~R|zfP___;q%n^XxX$$}88RNh9Tt7d9WTe<wMdQ|W``{YgjI2M6ZQD=@kf
z<%u*=G4eO}(I7A+f4`*tJ13wbTGS^OVR>Nkdh)<^o-0*YxwGw$^iMe`*Y_*^+=Jr9
zG}HfY-(y@){Z~(L=>OdKyiIUs(yYmK>hDO(W86b&vG-?^!4}ehg`Bw|CoM_$%&zJC
zIt-8!rcf4<QuCp2j<Kpy+!$x{!owxuxEKt3u_=swoocEt&~jA;1`MS-xxI&zln!HL
zBSWHf<*rB$STis3k@g8_7s=_+U!=7G4<7$(qaymx5_TmXa(sirYlO1Z+{>T<v}!c2
z6LQI}j=yIgBf7W~u)C5)YZ{ZD?)bHUy)Kyak^bZ~Lk4Q(r;TRiL2&iGCipW^j}z0x
zf7OLpCzH`E_Q=+thIA%IMYR*zPtde7xz2Vz+s2DjD1XG18}C_#aZOTikP5J0eI5-l
z5Q+eS$!Ens&!T4?z?KYh%S`#ca-Q`l?tGFa0U_c$(z<MNZ3_L|tjX%dfuvW`%qvYv
zmG#5y_dCc*S+ZUx*WH-YXwFf{)S}=I%y8Doqm73gh$n*MsRFH3vSy|6Z2M0e^yK7J
zg##)f_6v)o))R4d%hf!U_t%YD>Kv6(Es~Y{k)+YYzgw3uN>|X_nr-_XG7~XR#Ltf)
zjm=1jH6H9i#kqEN_L<e0M|j1UYuIT?5Ae3FBZ4DtIA6*mO?gvw=(bOHo?ooCe%hXq
z8l%W2(I9L896dw%S+AMz0>Kdy*_FoSm4~{58lx0y2K!vMR7>$z$YyYtpH`=tKaXlm
z&KfMwqFuEx<mX4JeGM~VG1=KJUq>xUgMx3h^ZAv;dpwtzDCa$qzR>>mpTh5N6;=v1
zD!I4_HZG=Fg1`IgehB!U#DK_gJgW!^>k{5AT6*f`-;)ZeUz=?I6}*?%|HQjliQqD;
zz<pU+1{J@qx^NvCP%SrwV0e>;O=$CndmDv25bQ+quX9_@jQw^%Rfd&Jzf@}?Iw_T#
zs~y>46rTg6`Q)NembLC&;o{_C*3)E|ejvi@J8wS5>!eAta_2PC=gSzRFSI^1sYia=
zBb<_!u_?{1f6cgY-IY2Wvzwe1*nb9-|AUltM;XR;kxEIjgZq1LY&NVVCk)DQbjPEf
zWYZVY>w<osMdBp4hM1pyg!X5oF4<EOe8{;8>JgjocRml6=rv;m_?-4+dCgB!dw@aC
z2~iO<V-a$<4BKRh&9eiMGue#FJXh5_4eN%Z5k}<es?8$|Hj#Qk=bFOK`=>g<(eaO6
ze>Oj0LEf-oXD|MNYmF0g9Q($y#4OrI(h{R&m8=u!GpF7zya>uRxNP=3G?G~`i*@R+
ze>WNE4nOlETU=yyqwvA~4RW+_vn=|4XY>3uE>D9xc`gK+?YujfR#(l?&U5AC``!Ob
ztz5ZuIJm?h(L?X@K=6_Oyk)^}@d`pE&E#utUQBxf8J9MU`*n~&G0lV*{TIEZzHQ%J
z(U8)l;(BmRkCUiK39r}1E}hd>&9NSPwXOu5`~54U$?Q(^h|bkzL%TCD{Xh~YV-Pfx
zW>ch<BuSdWD52wRLef2$`6!ZhKWIJMRjab`D%Of+=jF*)Bc+i|@|`=_WwW2$9x(93
z5i%q`lCUJb))yBCo88=5Cl{24>lr(rRxYpgwF=w4*5R&1xcW`?J+Xs#D{JM#tilcH
zZz(~Q5pSbkii&L8{W@;bi{G`mnwOg|YaBk8zdcE4n{UYKr<IpnJiR)l9WS|9T(WR>
zah87n3<}$A@}rL@u>xcA%YcQ2k`G|Yt#WeQpxRPtc2TN+rKSJC1(r!fFRK(3nz-A9
zH9g;r6G5Z|9KzREC)Qg^aCdffnV=B;^yNz_Bq(?u7Xx`@*TFJB;H6ZYb~0a!`{<d{
zvN8d2aSlP10PjX?GO7i_&^uDWZ4)^@6eZ_0(5GvyM4?cKqPMDkY`mZI1uoYo@h(}i
zgoB?yI8iUV129EzL#m*<y1M;9!#;NeyicD$f55y;ZJvu=QnV!Z8m`-iXD0?j!^3Z-
zq=;|Wv}v1+43|pGT3&hQj6UYOcklML<jZ44&0%tdn)uVI-uh&IoX)k7kh5G$-;5P4
z&a*qTl<?JjFh=p^(t#v>>P^^(wL$j$=-~DJ&?}g`WdA^s7#bBdsQEPa$(97|<c}~?
zAqaHNq&j*n7uOy5ZRzK`Zlq<~Wz*iM#I*Mzu3!54`znmWxbQ=@Cy8Njv1=L|8$VT5
z9ksU?=R9R<x~-la983UQ6+c)@3EwM3{Dr!G?Q(X$0F0)s1&6FP_%_4Sx_%TV3@PO3
z=!@si3G!j8#2j{af8X5y`}c1d7Y5HwA0JTa8#1gL*Liw+?iLa%o*1O1UjDulx>%lI
zg$XWh2}|S5B%J~ot6ALQO&G?Gf9JmW;I)+Ag2t@Xv^N+@ItccI6!y0!otYl*v7V#Q
zR4SxiO`Q9^kAv91e}9T?v)t75bUWtk$(=a15n|C+oI9L8*63;nIR^Drg-bbgarIS2
zI=nW}q0EGf(0<ulTJFxcAOc6*9W}w$?wF@7h9;gm8uNAJ`&x@pwG#tD6y?N)-qj=W
zrxNG8HH4jADB}m)6X<n|R`-thv9*KIKh|2{F#?7BHF=(h9Ewe^O;Y!R13j{59VTXC
z-gLgq>udQ=?M=MGnmPJ|R?kuJ$X{Z`kcTCb6ZxjUy<QE2tb0X8hj3aYEWZ*cZf~f@
z9=UXB=eO_Q%|*1;)Y>RiT9%DZqqPdki09vb+jo9iiy^!tKXZ`=O3-S-fWWl(s$6lg
z!Sk8*Z!viNLND9)8pZ|^8Kof5M5S}y)LGTWofE|VHcsxq<(oHe7UvFpIWFY9D=tjn
z$n7=^5*~%RBh|4-)%F>X8-I4iDdIxnrfj>`kC*~C*RIK$UCYDsCH#tB>?Z$P3EwdS
z@C$(4QFZloigUw9lIR^BrrUS!?10pniEu{@Z%8v=jU&Y^ZOeMw<m>BGoL2{%HXa(+
z?sbym4N!?Ou+Frq`+%9GuLT}%Jc{m*XvsKN<j1B<-ShV!{JAlKKi`l&P=#4ZNlD`J
zx1~_3+|)`a!(k4Mh_J{sJa=v_8;?xe)u*}N{8q1CO)WM+KmcF<5-wZ#hNuqi1O$}A
zv20MW_*cEIjt&>*sr3?a?V58X3FG=C1FX1sXwV!H7DmJ|{Hi|=4GpmqENj+m{9^NZ
zT=2&m^@*WY_UEn~dc9Zl<edlLB>(Ewa~oRL@Z_W)&NZTf__bl<q@W-^1*_~N&4S~D
zde^SWpu^fLY}CO1#&?)@>)BbHkE0haZr8R`p6)z3cd|)^L7vrkP!y)XL<w)CC@zCM
z=c8(BAqEA24vvgFpSxhekgJw`E3Mu1qtR@4TQhl9iRt;zwGKM5-w(&sZr!@|(Ab>i
z7XIPF(U=3}hyUx0-n&rlb+&A1Z|20)vxyDO6?LP&$rSCygp~jXeb5b!4K%Jlt2CdH
zUE=Uqxc+ua_en)rx9HIg7RgFh%A&amjQmjlmfVkO@@Mm}uW3)9_ReZ=@HLa*b{K9u
z><%hXHKJIYby6twYviNi;$nI%CxSv)CLLixe@{dq1MWNTK08V6l>IY0%0wJKe3*ru
zopWz8JVXd@9F|H^?UgTFSF^Abp|)au?#d@fo8j2w({(y3&C3n(a`0!q^Wc;7RN{Gk
zKh+6b(K563{p@o#q~XB**&Vlyl(ICgK$*lue8sq5nN6RS?Zt~1i8xQ6p}4A2mb!UZ
zrc~#D9AdX_PS-dW7fw@771BLht%&}0GqH3u!i39Kya2)Org@5n9G&WTY{J<l`^DAP
zDGw^RE3HQ5=~6Mhz0ZE!X{Aj~Z=1NAAKO&cD5o(h6MO0DN!}xM0cTZdIk~Nf83%l;
zgOx`{YJv;yU!gcE-;)mB$GFp~D>>3|l3w|AzNT4SL!%vVG_)+u?diMSqjn{&@d&?w
zaA4mxQ^HB9HE{A0>w2k~H>Di?w$aXAlJl~6eK{;3d6YbPPzdwE;`R<|ZWc~4!>hUP
z;n#|NN(ABJomsZ?0{r6Nbp`RrcBoUc`u|jt&%0s$DIA~P{XmMB5<K$Gr=6)MS?Zov
zT<lP+v;GkmYV0vQayF#;htRC_0&f*I186Na{mdRLZjh2nT_|e39W%eqOiw9`w#*y(
z%0Ef$=bNN4liMaK7BzfC5pv<+Siy*yaeuVZi2I>K-UiL-j@<Ym@%R5e;hNCMNFJ_0
z72jL81orR$#&8N$@$vOtN^mGlr233wnLud1fuhAkU~9zdZo|%O|MclsDswFtpNg3t
ztP`#N`S?k>tRzjdkL&FvcS_U8aOY53a-_gj&vz@S%Rkku6lyv6F-OqTqAtTs*g?r|
zLdj(YyVXLFL|3lgxm8^JE3G}}%li7;1;?vKBX{Lc=GzDLuWC29UZL);6D<gdwHn`I
zRDJY`PyGtry_?XFEeDXoi+f$u{9-dFr(b91MP&Y!Nt38YN#~{e=IQ2_CAbfwjV8Ra
zY-kr0xcrr#Z{Xt-l?#>4qoc%7)6v=OcAeH`UEdYaZ+)7Q!kpLD)%CKHOsa(a!rb**
zbF@LXAZ=&UPSQV&)N&!)HV}HCmjHm+l)`@v<spV)z97Z4Y}KQxOJhT={J2av$BVV~
z^;w_KR0~-2h0Skq+hqwA$2m1MZ%q7c*toH=ZZgRrFGo5DKeWBi4`<n{Y=${65Z(b?
zXP!ue(#7;xOWIK0IFFZTCuoTz<oMpnj2HIE$;o+?@Bp^R_OzOciek7Y=Fm6Jj(w9_
z?%Dhd<;@|dsAbERIqcIf^yDRSl5Z_Q>P@_LoJBLpG2j>U=T2(`6Io%%c+5zkv5JZF
z?937(Y%lnuW;B#A!djUiTy1is0$V7#pGezPpSd!ORZHy<w%@sTucM$lChWlM$DvAf
z{&lH?A6BulmZD-1Xb`o2x+h-A;+M;=*X4(3?y&e{Meerm`ys@|x?I$#VKn^7;I>^x
zrF~!Oeno2L$Jf501ihfdhaX7F@TYrr^~&rmotWF5)jBt7rmD(@;&u0|>md<}<A?9_
zwGT$*^(Ld6>?BQhF$A&~r_=uYp^#Z`WMqVHT$z7p@X8URSKZfD&oFXO=ZogXFow$X
zul^8isn*C$5^$F#Z{sm>Rv!>RCN<Ft(0Z?^H+lK;<=1RGqwU+b%N*oLGiraBr{JtR
zVXL^QaP(BOZMCSju5LxMtdL~U9xYLMzukGFh5G4@tWm15GCPZ0`<4h;%c9mpE>%I)
zPc#%07A`>~UfSm6b5nWh?5(}KcON=@m<h#@UqgcqY~l^<RnKjbzoxCDa|atGi8w`K
zzDH@Xy+D1dCcpcDHviPKlS1*|KYu<M79Q?!HsrLbDp}2|VL+BVESW-HUX5~6k56NA
ze-9>_6ne*9^9IvtCfTH6lq_A0Kyg<Fgq)1$D<f^@hsl+-`T-|tn!7LQna+m{F1EL~
zH>6vz1M&M%ch<y2V1m)?pYJwFE*)5bNsf)Re;T<Oa=pj`qc4D;*)70$G=ewGoJ%Ex
zU+%LYZCB)ly_>+kZ3Nw;zZj;Wq;B)sLV|k)71<I(x;#Aub7>uzw=2P(yL}EF|0LA2
zE@uW1AxQ!Wsx@YDuLf;KZ`p9}%i@;`i->S^vZ9I3$@g^qc$PjQETqSVQ<Lh>^tRux
zigSYLrd5`Ir2E>01KPok>f_x>?i#MF;inSGwAnc!e5~9=Z%)d*CfIb=#?6zSZTD=T
zpGmS|;+Rl$Z}3T~u%|_Ti$=K?PD_%;w?+3xRPyHx4THkMHrV-fXjvI;nc0?E?Pz7+
zGwvtW`BJ`b!LahE>|jUL!SkcsA0iw>mtV_&hiVsl0!rcWUt(|^)lf+<En7_PYOgo;
zt$Y#{77|){;>3yjl{~T(vWihwR$kKLF=<e2KE)ZU&KW+})o^2Fyk2YBXUWH>wfg@=
zr0eWONv>Mf$x>*G-4y|tw4@kuQa$J808f;!F>YeJ$z11{9Ju+w@|7!BqGY+H5_6;0
zvJ~qMQZH7li&XUB2EHHRp0;04)Jr@UpAPlBWpi$3odLCIvCk)%H?D`DEBxngL`3`9
z37hS^b~!S84fI=Yo|~`hA18OtCU#7rg3g)GY%VA>#X=ePA{)V-J3sabSSZh$=Xsfq
zmvHj&1?A+(M9Mjxba>kIaj!4GpqK1~aAdY^^9NW055r}l9W>f9;+;_;9~PUfhYIW-
ziZ?+~Q8rw~n_cPqp!214twOO!l}iu2AxY^xj)O`zJor{qKmc|$u$OgY4_0Ee7ng)3
zhj*X5yvIyN2Tz2R#!qwtti+w*;2uW7CdaPN8;j*%F<SEd!6UR+N6Fs{if}(ki+(0%
zo!4O6uNnK@1XKnB(g)1A4ug%|DkgR|0}Vi5P2*H}m`GWp*>jtMu|XOq+#8nQ{a~vi
zOv~7eF*;9gD?}`kHuCNJ()cSf($&$TKuGrX=PpL1!?C<igW5qsCGJ@^pQHKV2{te%
zV@sC-B!BwnxOd*l@nZtfjNq0#t&O?bvkh-A4U|e!W}hWjR#$&)$#>i5I%XN09P0k~
z37NkFM<bum9p>AGsl8TY{)&5L@IExw%IL@xMf4ky%sJSSzvc4f%f#CiZ^)>N#<$q-
z2zB-B29!ms+W7+-{aue$PS4KD8zkAB#)&$7%EI*ispNV=B_)2~aj7$IYHA#0U7wL5
zQ7lXGEx2GJ&h<4>Pa2DxOkkQsw#P_I{|w22geHj6j~_db6w85T!SIIrRc!1pxGNn$
zb!z=PcEt(1IoV5LKYwFXIONfzJMjK#!+u1j;X)?0EY^jEduP<E8Dd_u$Vk{t^Z^c`
zA8d~7-KmE}RgCVC+I6e1e4^?H7*q&VWy);cN=Q#trtSkCMfUQTDBmVsw1tN!;MJ?`
z=;kA4mpYDgl>I#~PBn@i(TN9WTsrx#;~y#>?4stB&b%l#<_Kub5*wZUhQ4i|^MFog
zXXoy>{IbtVZJRPy9vbf)QzvsW<hL&YyJHxS52KpP(N&;q8E7r!ho$$*{Ra-DA|w0W
zzAZ;j5_xS?Q^UE>Ix5ZaRH_a4x^*{EJ=Z#$2u*L-yFAC338Vi#FYmFFh<@e9jT>6i
zOX6svl+mMc)sYI-74gz8T~7~`tI5)%4lpb^cg&ycllijFN@HTqGOyLNryRKbi=+OV
z(vnutPrOrFHFD7_tg@L*T2}mebpcT_XHP7Sn(utDk_;8-9bmrEHE2&)CG%D%<3Gpb
z6t(x{|2`(sIk$(q^xwM_q^mKHtT=~Q3a{hWGq2hQVg(1j({GVkqA=Z2`J_lsPfxkW
z#+Jtv8?%mx%ALV>oAqD*mlojLBjQtZ_B#|RTnerd*c<(#*3wv<i@eDuuz;r<%g@$%
zQ8AWk!tgGxp5NwMI3yRv7RW960R{mayu5)hlOazDikb3)#;!u9P>t9*`O2njyI@pn
zhhl2&`_qgRIIJ|X4rcAe<4>6Hvh%{0BpLUqlsc(W)BD@Bl$6IuK-KTI)zGHI;HA-r
zkaRZDvl-2K%mnnYVvMA%de*E1%q(NB`RAiX%-ZVnRb$uV_4CU;poNBpYVA^z9T$u}
zGy3OG$g^kc`G#V$sh-!b%Od!!BFIMA)YP<XXvnTE3C->i{0B(#MW|=?QJM_*8g)Lb
zs@aw5oNA-t@-bPWRey&QYep5PfOP?J$kVf+*ID0&Q+9frmW35h&(yw#j~1sA&Ej~h
zx&nj;U%oOr!RvRUPkM#2P2cIHihMqM&eVpe7ni&?#AwY`|HzjPPK;(qzj`7+`z+h0
zA%&@|tn3j)0)fpd_C@DNjU8niths*wKs|rKL;s{7^Z8-^C!5N)T<?p&!h-rW*Qeee
zsO4om=H<YUN>G`GJbAK;xO4aJVG3nGD7IM3B@|h9U9;vK2WAwG%*Kl$k_$yO0L}mD
z*<cm{jz#FhhYuIU?D8T9bLS{gfhUAge~UEaZ3C*1kn;tWR_&;Ba-8}f_U>06e^YBY
z40Mkd+i!~?>cEsaJCTxvd%uRoYeD*$(`Rv3Y3+bw<08y<FFLqHr}U>Wt1FLJJ;b!>
z4IF|P2vW6XD-~IW(NM_Pw-M{st$UYMEOx}Yu(aW4&4aUwm$L&@V>Rexqp?tb5^E@#
ziama{I%$zr)OdAymZaM{tlQ0adg?+P<8?<*w*LWYmDrKruH;2t_S{wVRJ?Q<<TIS!
zeX@}a9vO91M+*R1%gH2+vS#D6PrRA=ngyRkXj0F7o654zG;dUDb1$GO4{%vN6;qy?
zri^x<scSl_T5zXsb0Mn>U(b(E(u%U>YR7(j-mKkp^m5@kdA4*rHeYn$`VSlx+St@n
z<xdSRe2Tq9zRYaA%s#wK?)jRhs*y5G1ec^$So4*EGb)fPx3{p1>gR;GiN__6mS(;X
zqtsuo*6TF%nlcs5RiB(ZDZ0mo^K4K2u4J;*yu#4!=X+jjiHXk}@KO_0P~ZifQ;KnW
zA0QbW=#)$0SC5@+5*N+QU%Y=$H@QCG^POitrD2hVz9u|;S(}&9ne}c(TzPbC)V_gk
z!B&*_SS9V@6|w}iFr%zUZw!c%cUeN96nS-R9@_0C-ktSpO8Wx6T(Z^B8M5<H`oa{Z
z0B5Wsz9t(fB}j|RIW;ne+IXaQrH;N)#L7plS-n_QUWRv5nmK9WS;q(rjhVmyA(?;2
zt0v78{Ff$g8HjG(N|61hnnK8~47<6!MqkDc3$BlS-%ssu65FU$Xi(b0NjsZmoyEGN
ze5nusO(2jf2tT9qrYrJZt4<AEsh(IJpXCxJcJgy~cD!0%Lsq<ehXwV%UG+No<xSoG
z9G(S4UzUFiS>|O1IWnrH1**GO{afUPO$ev{5})nfs;JnKbSA1wQnsEsiLxOt{a`IW
z)A%o!H;jA_>+ydI1?qnEc@-S$&ELA%%|x5@le|GT=ArV{jxF7B3TVTd&rM3oaz<U|
zJlh=~`}h5jtpEwiUHQoh57$ySWZeRUAh2)WTHtUW&=~DAE+XI_vIS+@hWs*lRC)lg
zoTk1PdU+9bjwLqDxf>D2J3j9g7XH=EHrSZHi`XhCSYoR;*Cpq|U`4Zx9#j|atJ25?
zf)lMSxh)Um=WzLM)mr|esTtOBwib=wM}x6bXXHdR?O03f9XDlK)_zD*^!;os`}RBP
z0AQi~E7*A2e)czICRm;xcn~u^UX^U&Y*+yE1p8Uq%cH9?QR6MI2IrJk262Vv71mZC
z{6l;8*73~v`-*e0s-%gOR}1EuS8giykiXi?L2TW#=bl^4m)2Mqg#3c3Wt>r=A~Ee$
zV|!$`r>Bzjw^w&B&M9LzFg5-BW(C)=ko@Q{z&tPBzFmbg5auo?OV}2~z#{)n^r1#S
zhodSga^n@rI<)k`ZQ*#qmnO$Sl5kpc(xjXuJs%2Bckew`en`rw;fAN4bwSGa#kfY%
zpg%~a4XaPM@RL{bMMIRr?KJXk(vI2|-j`$Jm$4@t92~A;Q^jD@kH`8C+!WeY$)?Je
zte;;yeEPovZZGcWh4~s9@R*~mtJ92-*jVYU?ju2m{|4RjNs&G8t7^ynl6zjJI~jd<
ztZj52(TsNO=l-Bg*7Y7C0AXSA4AqQpKmaQY#Fhc-R{<<bR`2gIL?Ig9ilz_;ge)U~
zanp}f+P1vEi+cSfo&~B{m^i02Q`{yQM+-gY#WAj9D=T$<y2}%N6AAD`_9dF2@7xTO
zkbHRmLBO|OF`zZ*Wmvw5Q$(q7>)SVVaaQKrCS;`!Po*V5jeS&Nih-OCu*o2gpcay(
zI65YF7l??79mA(X&|N{0)^Ry2;!|x~3j#r6w4<%jnl12J^h9;a3KF#hU<L;Vhj(+H
z3$5;ezl}eNKZ=*5W^8|baydfL+6^0)-Zlvd3GoJr=5s}urbzkyZATIvHD3o(1(Me)
zSp9MU5%#Ea2U|;Dc!L@dXT`EHZHEN+8bGsK8*8j5E3-UxP|JWLAYYb4`-f#qmoHz%
z#xsY7&<$wDI;6UWvJX&4Iv<?<U@YDSTtNjJOgn!4s(pT#`O)c}1GH>*oTQ}$>B^!t
zUd2y`0<;X?{{wxBh?djS)B3E|%}V%>e;al7>5<9b-&f$WE>)Z7C<H;m^05#F>^ptx
zI(&v4*YQ2sf#7jjfvsiqRUWy`8hTzSh;R8Q><TyuaopyLF7Lh-YH3CuQ4*Ke!C$b(
zBi8`^AdKdi60{QU8$@%_vXbNC+L~@X6H}i3*u9PRCaZh}&0UVt$>QDTua{-eAmx;?
z#<Sp5*^o8uQ`cwk5+r5e>+9PFM!OW!ft>4mZAQ&ebid86T$rDQ#O9#rC7OGx$kS)(
zCxad5xC#~*+(Z>$xH?L;>MNkvNQ!jO&LjTJZd^3s@}75?f;ZiI4@cv?R%yGIQnb(x
ze>zVv<~}I~HfEiHgnzI)J4t<Ap2&{t1D{7)r8x7~7JhX&&ZZrds6IP*x8bf?(pce>
zfc)i2@yySnb5VU%NB0~o4(|_s65?<5BOlj6c(CK{!SQZM-{kI>w^O6qLZ{y07?S;~
ztgI}m!;DkrQRp&p={LHI?BBl*Pe))0Gqbr^Pc_BBKpUl=kxSdIDZG-zXk*J%oq=xY
zt^-`G&>3a5#adzw7L1GIE@EZyK5}lbS!5btL^G^6Yg`|X8q1Dvm~cfDR)gqx_t~Uh
zSVUwE{xA2McJJJ|9DW)*TRdlNh`K@K&40|Gt33n@xATikopr$|NpLd0g67Dp2P}UN
zz9x5)cKv*_H*-dufFtu#cpwnpzJ24^vc(^9ydB;z^vKg73oayTY0*?vR7m!s81BG3
z-Dayl)(lmi3|^Uq{&WQVI1?dd)8za7`Bp!g*q%Kf@YT-g>+j9|f@<b2z=FKh+og<j
z=HB=4^MeHB;O5?=yUUc5)o1yd59Aw{3U_qp*rw^FKAp7PGd}B_`Z0JfGqpAC3vn9n
zI}c`|;Y@iE_x_74%UQYFQj*`+iJCfHdYXPR$nj)<)nj+Zajw4Kk&neqZt6AN+L3KE
zvXa-YOvcSKa-Z39HeR`lPIEnuJK3Y|MzwYW)gV&bCT(lyCoaxatD6-nY|P7(p(%Mp
z3C}0*G@F#)zI`d&`-YumR2{mSzS8uoc3D(AMz?()KX#_#s7rl*ETwi!J(u^)^}az=
zpI?r)=Gr|w4s>ag>%>6C8I87kfT+k~3mgU+3&{|L9iU@<b*qsI+SVCZ%KDex1irIP
zQnHRwwIy#3O2QmJ-J{2jRqm1Avu715jSs*9Mvw!9gYKHkN32;KqI73o{t>tK{(}d#
z`ED+?7unXV!2qss$m7R%vG-K}{k63~S+TT*2_U2ont>P?lighLc6ivHWDb=U=MIps
z8^z7bckftDOiaG^kM9-{DMN5uHfdm4SW4z_=+P3slYAv$xQBcF=9NmswZ^|BCDd7&
zNIj(<{^ZB!`pL=*jYCdaL!Lz$97%MC*M#cK|47hg$LBo;9uyMIm9@!o8CUArp!g{V
z&@cjs<HgIDOTa+?gSD~SX<=O_ZP8M{K+FfhCUb3gD^|`1;0U|~&C~lmmYrMD$`_x@
z-<Ecczs^zupoB6gG){jtrFVG7BpAZveryE0Nw{$4Sy)*+ySp~^S5o?qeL+-a()5Zt
zU)?6E7G+1WyP#fD>{=Bg<z3hSFOuq4q${|777ED8UAXFzDwnCC*zogijC<%k?KlGj
z3O{def?nXU1$F9;XV3T%!3Uat@Qw)EY@yQZGlD5WH{RX3!$Q7Y__T|VG5nF3w};XB
z1Ot4qbFiF<QxaCF9x<Cj^ro6!g3BB2PgNaAs>VnM7ZMFI<-x(Ei0s`99AIJho;~W3
ztM|UX-g|n${p4sv-LFDHtMZ|}k`pwI)Vv1?^WW=*2E9u2^z)_0q_qElu!_6@41{UQ
zS#-v#xw8HD71pBk>wSSZh6C(ZSBMGtawxO>=N~`RB>sQ@qUh9r{a5nuNp4s(yzamM
zK8N!0HAk7>|37{Lhx(CP;{W?I|HppB9_rQK>&9Fa@W&HEAGb?-rK9K_iZksD4Wmz)
z%k~LJ(>Do}N;iv9VJuGp5QhElO|%z3bo|))ZyP3)$B*mwh_j3@2c`8TlOev?<ZHxa
zMwRfaBX|eh{y(i#X-Yuf()5B%xR5#V$Hi}`&L-4qPEo>h?%Mh6GCL#f)<g2-uhIf+
zuI-0lE^5<ncwS$hRG*o^g__LXfDZtHk*Ob&Fy>bG(KSHU`Uk~_u1LP%7Y-cpl!*n(
zY=R90;*U>XTb!TF=MCzcnH)m59gKp}(aW*?`a1w|cl`ZHl-qZZmYpZ8j}N@+@AD3s
z-89=BK0l4R(>yU7xjE0NV*aj;S9;^XpqkZo7q*?PS4b!i^cgQ?57*#To8mfdb<x72
z#8RRImmgYs8R&m*0L*!z8YM?E58#utOA5s5d_DEon~r6GPbjjM`b$si=se0UId}f(
z(PfY;u|BBqErjc=Rx<V1K`9r8K2h{3RL~?<NB>?phw>fAx%a#T&R2)cavvs_p_Zc;
zE^tGh%cP_<@;#=}x|`u?Qonxv=FPuTrN7~A#W%(o%@jc2--fY)V<%4Beb-fW>A<Dx
z$d&jt_y}=4yi|UAKUGg%{U&@BI0*5}-?ob#izz@zBMv2A$o%^Lx?^@kD?m73KR-b+
zF;Znw3RJv*!UhL8RK<lnztkaeFj$<6l?*39N;=cXa5ovQ@+3W&qr(<O{V_-^>e?7+
ze91Z>EG(?ZG!=iIBNU?Knfg;HR-0;eOibnU@v3yl1c0+;*tPOup1XzZm=hE=O9@tf
zMV<?Zvwj405aj14uySEQVZI#?V`>j~+Ya)~A>QyIvk?SPfe?KuNy&|bIN&>IV&nL>
z2y`xhOF-@_I+Mw<e!UMWHpqyU;RGDP_e7#5dtAs*K7Be)Ivq?w*K9vCb{RsDZ<TI`
z?hGZoecRDZk3xQnh&lHRh%?k5%L(j-^tPh?ZY@+I+CJP`Jq7Adlg5S@WFqnRo)Xuf
zRbwK6VH`PkF0^g`jvYIuFp@}+(i3}~H!-mx&tx2Kx+&nv5+M;0eyGd0K|KU&nmn3_
za{ri7%=LPzqe`GQ6O*uM+8`hx(A$(LjKOzHX)i+uhkc-y$hjRJ90(LE<Y7k?+_U*R
zs5YvN+!LA@T0z(R=qoGi${C^zYcoBo@r?pN+mD|(aTsIHBzy)Ni>)FeRqZADrCCn%
zGfueL8Me(&X7y0W5AqqxIQ3~3Q^XA4lYZg|=xlh^aS$xuzkh!i=PD*AM`!=e7gE$~
zBir7nM%@E|D!6+$3-Zm<67f4hK?n`yfC~f@qG3C?95*l|gadT(rwe{!2M(+UAc8vh
zd>>Angmr`3&s-3)#nAolr3R#rztK_>6&60CqOu$Wp)a}|2n&d{Yu8?b1$YX01Y14R
z02M))rv;-(CC9^+0U-lF6Sw-Yn@7P_lVad9@Zi9_j_u+vVNp?F%km-j@886Y6gYU0
zhkVFEK_3AJrlRSnmEVcJd`J08m!6ospiomt@OEixX)Pg8Q^fC<IveH2b-Nh9Wds`l
z)`NSB(}-nron!<8i*)Gu4j>p0Z4R>Wu)X~N{(WmLeYFyfDl6Z7Hz+TNUj~+m@P?IZ
zToy0F%r-9kqf=2+UHt=LOo;Ql4>OgBvwqKYy0V-|x2oGy>;%bfC1LzT$_7YQ$*VVS
zDCQ7kHHkcX`m{3N6C`9_eK5aLb-w5HAM;B9+~|uoUXU(5MkjRSs#lop6_9u@X(vyf
zB=;9`-8OlII(Q#&;G31VZr$3aoou)<@HeWPo`>d@>%T+YvYZ%20XhB80A+agD+<SD
z5f0j0+!B)YbFbdTwA-!TEUWsYsyR#@-OF|wY?7?qKdpqrleVYETI#_1ou@<e%UfHY
zRebuy5m@28*zmr45v%P5Sxa;#+i%`nQoDciZ4;=Ms0&hH(kjf$$T55R1k7xOV?T3r
zSmjgG7gMvW8$T>vu|j@;8L5A*z8CHcTm4y8)k}z+R<oU_m9)Ms;+tT<;zgSn9KzEM
z4yk&k7rDyISKfB;Qp`=TlO-2+?<XGN3RiT!cVY;MiCI9xDO+n(R$hJp6wT>LM)PLk
zi_*dfd&M6_kqW{Xg2H8a^_`LBVW|A2n7wQJ#{(Lzov8=$g8tO<lG*svqBIm?L=kS|
zQX`9=i1m31UpHb@C(|uW@)-(zBs8`2=ez!7kr5w4r8@-$SL#K{CKjz9DY^SxS-C7i
zc<<hSD3r9yk=^GWn7QELrX{=2jg*s;+M`BdLPAiX9fT~!pyeUC=&*+`VEf05`>|WX
z@Q{ki?UFwa#f(I+)eE~x8!j%)Q>XVp93-s!6R8Hz^wJkDKia0IZd9~{W{rhV-N%#E
z^cH&UBFSfgoVC|Dw>uO02_%~Q-{%U&kzaFjc-Fzk8ty?e&(=Xub{OB{pxk79-e|4H
zU<&kZgxc6v@xQ13@H0h^VNh-NL>)UySK^2G+m`%9v(7}|Ere&j7Y1&(lmHm|kF9M|
zA5GAg<HN7PwU_V!OSkwk+F<tFweax41GCIIxT;X=$;DB(9fo+{9~y5C!K{%f`7iv-
zKA;%r2H|oVgUnP?p|B%I>16gsKE7(})`BRIVr*uqI*+h3bElx7PpwrZJxU$u1uJn0
zPMlwWB6FoTej$GZTz5_brlO`T%#EHce)J>9r(Pqq^2HdNp>|WlQ;(yu-}j+O?#McS
z?p!gHC;@i^12c2osvg_SqhO@>7cMU3X*wNv{P?k!Lsg{g1EJl!+nOc-qk;1F$f+N9
zRnSmZ@33DaFB^EEn^cckDSWVjhy3!+dzroC^|F&Xc`u`ZFeSv%KZVlS_hD|m&Gh8y
z(^ucJ3NYfNT_y?vpz4Iz0m<x!2;nq#IFnxuy2m#uDItw{E@B7l+YaT)U&HRI4~ekr
z`~1!z?;#bqfZ6`XIlqcAYfsJF!X%EonBiX%HT&unzwn?Jc9)$7(mo1Ly8}?bcK217
zrix?K{tK33J`y#^weRvkY7i~|Bp&3bo#=k`HE$=1-;U3^S=Ns`(^_OE2b%LD^ggz>
zw)QpX0ptcn`{cyw(;4?p^|2Xx7O*t84>IJhP0y?JRomdzGLHSNR2ip~ncuUPh=Yl|
zNX#bdzysqhQ_&cs`RVLa`4!jjxEv8JigjRbSuG-ss9bCwW-Tlu^N4zV^o_AB1Pqz3
zzj7esDeg*3Pp6vW#O}!n;AVaweb0dHHS_zVjMVIzRYW%`t&MwQ)6(u=re%p_(?OJN
zup{H_RhhQp4)z9snCI;`;}8XK?Nd(ku$de}GQLk!fS@ybpuNOzSwuVgOMF4?w1fNL
zbdD_q5Da!{ZdRtBvttZ+VXbD{L){eP8y)kQEz{<D?pibtrNhh0$5of!AXu^zZ@`8*
zC+9gn3mY?gJ%5%BhwbV>!#PUI*%JY*zhqqMJ{{Ah9S%avC4cZ3OIdfkBReg~bi7);
zZm>D?incEEd(;~jz59d?`sTQK*IP<Zy7FPOD;jZ(Mc^OBCogZHnrh!HZOcO-5eLq4
zTLNJMHoBBRmOf{m2f1Z2>_~P`T>y1LmP$kssKw^AL<n_@>mi9RnQw{L*hLD_ZdRg=
zC5b7*8zV!_U5`57{!Yz{2~=p*Mtu0FAW{C1bkk3~P&U7aVGoz<Ze$9@w_QO%=IP(7
z9SJ2c;7ID_jW8o$UqQinC;8~(qTk=?9w;p@XC^@L@5*7-V<(lzh(kLn*Oz$h)<edL
z+Een7d%XMPVnSS85%|`X1ZihFf~-;5x>?h!c@ZgR1>ru`?njCk4YU&KI-tZ^Mt}`H
zuE_EAfo$2X*u{z$byg%rN)(}aH4v>?oB5}9{h*qfTG2e#013D$oQ3T<itjI9P7_5?
z^nJ~;(JQ8)EX0NYAz@o*+4y*8I<D=VD|UaM>p}nJ*H)q;i^g{pl#tkfHl6-`fSp&)
z7pfa*d9E_(y5WNpeRZe)I5~S)@H$3K^wu63lU&%M6Ti#xiUc>wX?c%txs+Mg+0b0~
zF?v8asN33|1TR~?rn@*JvUhc(Z>0|b_j%Kqw%q5&7W*08!W}&a23rdY-woD0+Q&?!
zIQ47MbDb*tGI7ss+a`gJ`KZP|IR7RQ{Vrn?%GB7;DX&%Xsoxf-Mz9iuk2_E$ZLb~)
z9_j-s^er|%gwkemJ@8QcA5d%HPeSno5RQ8f`zs<l9?%wvHo&S-;mhJY_@LC<hG#%K
zn{QZC#g1=rPFMH$PZ^u|@Ze}mKTsQvg)5dVt1zrt-^1sbPx|2A9|8Wr1Etsf$_<>H
zg2KY9iIA|c?bLVjsXh&O&7%!cc#L2F_M@gp6Y9tvYJ@ksDP{s|Tm*?a=5^I<EixYp
z1lFzR;$k778y2-gsJ-wqIn||wICSk=&PCY)@2~^xODS4sf|?C%1}X}^VU<BeedYxb
zsFw($r{)=X9^nmDJP$p*qhDn@^I<{_s~L0kL57;!6yh?{jX$HbO*E7TYv<w;_mw%l
z(+aT5WL_R)!}*vN{oh__IC?yT@7{Ib3Km%?imteL6ImKW>ZFFQ?p-L7{_Q*y<{om7
zja^h7sTlNvf!ZP5tbNdTSc4A%@=E^w>}OfCR{I~*xno6e2K5HF`t7P#m}3{%CMdY0
zvYmaCzlqW-eAd)~0u>g4SKa@%yrs+CdcL60w4a-DfLfOM&^V^sUyi9towcrfu&;vG
za=fgei=utH;HS2GYSJ{bsCuWT@h@mGaiN(B6eXAIj4Z02EF-u8wP6rDM*Q1id+V}m
zy<Y|DhCXcA7TcnK+3vQ9{+?rrHx%r~O=RcoAh4!uu9pm_yN~@NKOCzR%59z1b=Q$y
zNr|4Ch`Dc8Vi;3YGF$Fzpdci4yey9*=y?3wpfp$l)N(052N@X?fksFfz<d5?t-unm
z(chMYG(;$a_IK7Je{7%5Mbm=}&UC15uB~;W3vhD3%F!Y3^M53*g)orB?cJBGg)GPl
z0d+_t^*DBX^{P)ppN;5BfOMmxD2n*Z>>krHH8q;h4FLpJFwD=;hrkRG8uLY#x=Iv=
z#JD7++fVhRG3tOBnayAg(9NuZPz}L-u=ViOv29rEK6K)r!<vXf3Y#L5$Ax!Hd3<Wt
zu+6z=lpGY4PYeU^x?4c<wBvURJZ5wGB2T0AqfZw=a?VE+MI`v!E-EiQ1Ga=v)6~2;
z?zN47QB{a`{nYfT)vG-ifl~38<auu-!u}w9HfmAQ+TyqeOVOh12;2$x=&IsmpjKT%
z+<|Ym$K-RtHQW+y-KiI2ZA^wjuGGG~)mzd_TJo_@&XR4+w6VCX`-_&+4&4mP&<^=c
zz@beTlVf97v&*_v8IcoR_#OZPAwts2W`huAKTg-$b?cTSYF!x@;Fhm{yUTPe)ARMx
zLU!3v0iP#R>>jif6Q9mB+?9xfiYffcn^~8~zB%Hs$;-AKVy9r62&9sKVWpcGv(rsj
z9DR2GOlP|i?*in<oAhs+a3vfT>Ci*8ygM*pU0ja_LEN;Ig|QgK7qZ=VF=T7}ik4+7
zRyeYMY07t#h7wgQcK}RIPV%3;*@_Vy4`u?Y=B*Izfd5@ST<DiVeG4e1_ecDC?>@i7
zPQSk${nKvjP7c6q+3+Xa)oj_)rEREVaR!KSQaN!!NnAW6ukt!PGi0vzhS1Ee-lluL
z+u$W?;JlzKK-MnZ0i3_8xjYh$gw}F%-veVz{Nz`gzKOmO>PCXVK=5jm&ipqkA({1K
z&!*)#2zvL$zdk4%w}3*yp^)TS{$H;e-$&0QUwZrYQkp=W3~&WH&jTzQ|A>GIB^}#y
zS9@`J`7Ic@VVzV7n|g!i2sx3Xi$C%|DOJM+Oev}^CQT)imf9mXe206YKv*YrMzxTg
z+a!S0=Fo=^KQ^1xh_m9V_>w$17=c6M@2Mz}&+|M8LqMPyjW9s2;tE1OPR`t9hb7lq
zhJ=PPVTOQ^ap+h|&emZ1ehutEV(TJbfRjS_Zz%APM+<rv)c^~d&a`s=NUBc<A&yAJ
z%6E_pe|4AiqY80W{Mcbg7s)kk&MrdLPo;xr^U<SVjr2hb1wkxUJl||B6%!Z7ax9py
z4B~QLHqYFXCzP~a8s@vwhsc8ml)iMF>9z?3#CHH*3qVZQ?o&tSjUn$?1N&xY2K{%}
z@qv+kNkv6I;PY)1KscoIwzn>U(|M>x<ic%42&6(L0_C8lwDA^H(ZpNY(?tOi!yNw)
zl&RU?)8j{a^b>De?b)~`SkQ-mwUofj!ZFNT!UI8+6gOMavJxX=b|_<BI~XCGY#5=r
zy8#s;K;fn=n@W#m7&S1#h78qkJ8`a@_%--=cTo-jNB=iFLIx17Ck5~W1V_h$5`dr|
z7#;n~q--K(I4&tk0Fl8dI`0wPhcJcOZ3V$#<YEO@D+>#YJq@<2+w9Ttphh6-s0SRo
zPiI)wtwMstr`6|$x9?V2+0AhLTPsq-*%z1$wnmFN3D4yak{&rB@Ceb{2Q`eNkET0*
zA^isz0Zq)kM~}F`FH)R-;W3b)yT|MVIUSW`nE$qEf%rU=x(;Yfo<@2~3J37`t{HFO
z2$<TyHuM`P9Z(vy#O#~7P^f-0a2BIf^yeALy*O66E<-rRe9bs|j^&0JGr@T=Mo=fQ
zBFH?6q6GnGV5#)y;%>)MctAsR&-ldf?;BW=MG}nj9H+>d{_wx(^SLTCQPku=tA69f
zV!mfbq37xM7IRZ0$IqPE=#h_<PU4$j2|CB55JoOfN<XMr`k<oJBlGDv+|upYqt?ZI
z|DEDF?}{VZ@cYp#@LHvPi!myJlv$|@nO3)OFe?gvokI=LQF`|p7FsMdn!M%u>l6?v
zS68{Y`T3{|i$KyoqP<P*o}Q4}F|TtMOH7Ve5Agt@g9}Xu)?@s+7EtgrxwDT>Js^F&
zLUDVoHpy~hK85o6DIh2_fM#@_pIOX31Ciy(?HY6K>uLNv^DI=S{!NpI6pm>eN1$|2
z`ZpQevBGan1yNy*Sqv!mZld18Xc<{aB^NGmlbZawIbg3l*Ftedf{Kwc4ogVA1zZ!C
z;%TGaZikXk8Ay30`?ud;UoeB04Mxl$X`uT)o=~Ad8Y$y8u@}=f0aH`gFbM^)BL<;^
zoKr&;aRbX#YF|Hk^#iloV5tbT`MRqM%&~MKkYRXUN1<?r5G)Yz+e@Hu<b)3pcW@~v
z>Tl!rt^*YV@mNx?=KcaTyDZFSd>YgnYRO;A$H#`x2O5f;t%2sY9KMKD`NuZny|v7!
z>Pirq#IN?Mfe><--LQG{-JWPSHniYJu&xoDdCbhh?%(Anmo8h@jx%xm?Ac?8br`Z@
z1&jyPhba)$9Eg4|WLf_X=kiE3s=!o9je?95=6MW*J{lSuZzZoK$xP!F96_N%PWS;V
zb6=S5k-7e7I~ZB2kS<jDwwVhgq@d}=(QyJr?Q%lGmabD9RRa8lexzi#hr0+u2+rta
zJgRmO)d0`US_?dSe<nW7KC;bsx2C@S7X|A<EKLGk^@sA$XMpjJ%(EzT%Q3OOg7{QZ
zgAxCw#B)SIEQ}jDesGijGK>OqtXj1y1+tRts#B_DE0*g+=1=^t$G}xtpiF9OGrs!!
zTN$mLLpf3n8l%&ZGHboZeP*q0;x@kj^I4d_h~={@87>pW4)}hf4Q-+X&%tXP7+N6N
zK<S3lz(LY2z5nxLS0LS{n3c0J5}I+2-}tetRrg7ieNX8+Np=Ucc6$WUKvY?X<qO`m
zmOxOAxt0SEBcaE&;DmAJ2!cG82z9p2;4U`&E$*&KbpNd%6&I$=<V4pg---CTVa>lx
z(w%E?+Drkeo>%Dhr@zLR!wJ5%OEFGg24Z0ZY1B=ghbV$D+y~W|tiEdO_jVk4bsIi=
zDjUCI0P@*Z0RbjmU0sAd!$3a{Wrp^c=K8<SNO^-!mi6W}jCB-tvfzRJ)2~7C4GECq
zpx5ddFE$_`z&X$xy-%5C<UdU=p6m+rYNYZUgKF&<NE`!U6ym0dvr0~$!j0-VJ{zeR
zN8Cf`9>yYyU+|>;fS&*B+w;P9ekbuj{r>yw{rk2+l>No({+nI<zsj8b`=I})_`7)}
Y(Xb*%H|DHX(gNbdQPqEvl#OrxFSOYJTL1t6

literal 44163
zcmeFa2UL}3mo|(siHVI66_p|hcB-f}X)&NgKv9t*RRJ4EKzc8Ui5^8bHb4YHMUam4
zUW^n00cq#ZQIOtyIh6mp56L^3dH?z5{buI>)_UjvT+0QX@;uMo_TJaEuf4r>@`Uob
z)m*FD*x1$``$_3E8`~F-Y-}ryzxoodH2FOn!H+MERh5<S6MtqEvpn$Q>uW!qwP9o9
zy-EJApmmO3U}O7^?U>TxGmb$6El!Vk?4Br$s82T^kUn<z*B!6ET3!16SKKGR`j+}p
z;`cX+)){a2GSt7|*v=UL=6lEC%tQhHJ^YSr->!YNLVB%ny3#%0-#o2%?mGIJba(Jj
z8{gH^fV(AX`&()vOZz8f$7SnU>e}X9DN#{*3qyT<`UyHh<XPF+A|J%tu3-Ikm1l)0
z`Q-<duN_&hoL0$SLteOh`ZGiF)AQlCBcG99UOe>NOn!bB_IWn>$+marhcC#_pZ5ME
zm&loWcS(LjN=nKpJw5K}HV==mvXUMBTk!oY)IOEXY*#b!=Xq%8c7Fcbg~q={m+V@8
z^Q%jLfBPTeb7#vfk0$8cF;3W`5v~?#D@`6G=E%SQ=#rtUfBR8(e&mhS>n}DJw7LxQ
zZddlXgIjKqbG98wDBfoE``5b*9P*egj*GM1p*liS4TgGpdhZ^K3!aefeCWu?YTdMM
z-MWNAPQ8NfZ}NO=G*|84p29Hf*EU$i=X$M{PCsgHZazOs^SDE$R#a3x5~pYdIrl{-
z45l_6Ra8{Gnzt}zRUzG7kW?w3Rbk&%8N%mp=zL`Wmk=|3dzU<g>qID@cSF)8<!2{*
zmTv1tmv23AvEcP8J|4ZR2}cedJXny`wlE~MFj3R7$Q-8O9^PgSCRYXedk=)ns+}%g
zm~Lwuo-=ap4V&rH&f}^HKkgNq)_SO6Y6_#3>JG9orpKHeE#kJE$jVtqM!Q4YV~N?;
z_OyGO<A<M1Y%Y~QuIqRG?Z@wfUB^n&C#qFVmKLUIAK%<m*3i%xNGubvD&70CV4xu>
zG$qCEsll<0UWG5>8XFrgU%ApdE*-5MKQtP&DA4JCvajPCEXJ$#NA`CYZZ;CKNGg{o
zr1mh{D&41&CQ~IT^cZ6|H@A?%AjkGwg?0F1T5QRK-MhyXFtkF3p-Zfk`~1vgDs#5d
zBUfk7M(l=!`qoxM+1XDI7&1#3jDdcJ^@ThJ<M-dzc=65TubLZZOSkH{t*)?Oo7cok
zJ$^y%i9@SX$^3MSgHec`sLrdWQdg>9xLdmL^78IHYt$k)_ICR*W|MiEL0-soTHb=N
zlc9WwXlinDws|n7wY^-jO`k{7LO;ZfVrC{#@mM^%vUBPZ@8;FNZ8MjYl$>rDiqedB
zmVGH2*2=Ep#zRgAy?kr-)+F2B>U#6Emi9VrBjIB%{`%I()B+`9jV^6(wXHcm8a$o7
z+fUS}H9mDXYdE*ws+ia0^)FxaKN;?ej`tbHT2$55ZBpj3Qkws;N<n9Mo+dY?!{a{l
zaUtp>9@1Rx(Z27y$^#kQ*=sh7+?mc9b{oxK$vzQ1c)DRDUBg3m;=Q66CeCr@<4sk1
zS5dvoaE?j+tMeSA^nil#?#f}txck_HkR3I<LtL$E8H_yh;3msFIUj|^8J+ZN=R*c#
z4Ra2K9}nb|Y`&(bAQ&HXdU#cs{CZ*&ayE=yeD^NkKxjsWG(Z21^}JjPi=#C1@Kvp?
z+puGBw33sP3yhZL80kxk%#NCnMcacC5^+hf(l%WMzS@QX&D$`a&2|if1mnWndp52n
zU#ygy*5`3(wkna0&z&>lv9CYBFqb)bNrBmL*}}rdZMsEro5%bp`TfUd-^9kojs~{P
z?<%74g}if_YPeLq^->VWbgPTyL2>ayc8{4ijti5F(CBDEoN00}y&jx6v^T(Gs5xV_
z-h>wGFuR6Rh<fb7uATk@TcoW`^*t6Q6E0Uh?->}lgUe$V`efL27g=Nt`pH`M)ka>(
z%FfR`<19B>tSXwb@xgBOA*;4-`RNSDp^Wb5VPQKlWLrDCLTrTg-!>ak11&Q5u0PcC
zbcLvcK~z*!`!8!mezGufXt8sXf2ku>gvoo*)E(?H<lOBs?9#?9*<!1aJwH}f)!4{|
z`8y;d)8Q@IN+q*3lr<du&ZY6n%fjj~RmtbOuZQw55AUTZVjX_q6L4EC7M9Xt-?Y=n
zX|aQEDZOeiIW29oGHu(F<P=;#ZkqD3ZMMR}*|lX3cRSnd+9E3V4M(9(rJQ6&On#%E
z(Alxncq<yOOzI3QL5$7fkIzmLtN6ePr)R>jUwGr{LNfCK)7SatKR7cPb#<DuU5`xe
z&#J=;8g>i+hSN1UJ+=Zn*kym)+k4x+JQl}8B(rOFPLvA9@0f%k<ZNnc!a=Q3S9tPn
z$;Tl(lws!vQ?i-Qx#yW7pApt58Yh4EE^|Yx!c939dL^m{A5s+d)LDInG4=!=a6E9a
zv(&d_BCB;W&fB8<p7OR^3?mP@3^|vnfy<XK_t-5SsFXdhUS{Ccr>RZa`c>Wgi|%aQ
z&^A*f$?snlJ3cC$*1Z3O{OqS~(=E>Zv0~Pr-r7}!ly$ay8O<A8GpCv?hwU0F6_#9O
zVFoxjPHAXtm~OVIbY}Wjc6VS>)N)g?HyHjC%E|PX_xmFig5BqOXWsBF-fedO@bjwn
zC&RAYo{c;a=BW+4q??j+a&jumj=FZsv>gjqSemVz&WvN19m$`0e^b7;zk~8=e0F9k
zE$>P5V*Juv{Gy+HL}?1&!#=6cG1iIW`GI1qwmF{Lzc6U&;S%Z*u-Fx7c_Li>Q16Q^
z2QI3GRA$WeML+0u8t*E+y-AQRvqTO@L|mNVuxv|Sk%Dmn71mGwRqJfl&10(mBHl1w
zb`{gu7g7PaBfqbCKuL{LhwllpD%x5y*tWDdjor9WAR~B=HO_E$`I!&f{C7vZ5Ow{y
zreuPVJC$PCO`%Y{DDgQG8E*5V#r~$ViZ|9C`(>!mYqK)k;ju>HFzdlpVTV|D!Hw93
zFn`0xY9Strvk41RO~u&g9VNR%1`b>sv?xF8#=(I>FEz$@4`h#5$XQHJhMwE7`@}#}
zxkGjbZ^^`qV-MzJZL9~A*kukKqD!~Ig@vd&D2%6zG6#~>_b*^sCYeqvPnAs8^5J36
z?RV=6xMX1~6K4PEp7O35hc-8d?Afls{-9y)yg5yr$0JGwxy&JMJ@XXJ5c9N@l)@ls
zoA&wfN*b=LklJV#9T6Sv1)sIe!(+D0=zjOwF1tWxv_A82qz~(WwS5jNUM7-NfbTtz
zjNHrLIyV|kW@of=X}(g-b!LRvjv%M5fYJAg?32#)i-<ukg}6y%w6w)Hb&t>1UwQfD
zep7t*SgCXOaAm_Uv-1iPRaK$N)6qVQj+oE~y(`&e_dS06m|UHUi|hHbXW#er_1(`K
z`nl!S?%+qV@$rkkDmxh(MsRzyvI7I@9X{7n2XbLer)CakG+AVsKN)xHRW(uxf2kgl
z+bZEzXzV(j)#iQv&5c45myl!7{_!TC&rVf8B^MVLTU*<Snf|z(95=R{y)?3RQmnOG
z*#4pXX{5%>B3PM@ZiOW$;%Vf5&%03OR|xCL4U6Y<D)eX}uS4@_YIppCUElYLHzr&f
z^ei$i>~Cpq&Te&L9xAhaIzAnKa?g%SSC3|I$`+TDRJO6PNlr~Yid_W5wA-U)W!8_+
z?#f!eihHdWiB+Un3M$@Q&zpQ<y4b1viNBhWU7e<-i)+dKoh6e_(NR&xr4RS^n-5p3
zih8TVT?LxzWIZd*;afYgd|+svlA)Nc_D3c@w@9RfKSDaMz8lKykDDpjEzhB;smZ}X
zT#Qs-L}<Ih(zt?)tizz^tN5p>Sz)UFyK20>y;t@eo?Uy9?XevtzHCS#E@f{$tm6Z|
zK$qSyf8)jZS-EXXCF<_?)k3h!r?j;h6g|=GkstM)I(<t9$u=6o4s)EW(>AG#(j*=m
z_8V(8mewDa<(IC!z+l)}t};>B@^;yr@vRuX_+3b4F#?qKS8vvP^~dMQ>+0&ZM;k4e
zjm<1EJ(fff69hL`bXv=aq>NzTlN9OSetcFO#+%x3G4R_nM$Q@famACrkR!J3nZCzT
z=2Ap+mw<oS<jkp*l$EtAW!>XeRYx}OOpDJN$~4XV)7xBnVn=swn)}G^@kosiew1w3
z!e=+Pac$V8Mhy=Sf7?B7x#l=LcHa8rHT|_Ae8T<xYsX)=vP=AJt{o1XfpOfdf9>!<
zMt5+Do4V|%63qz)G|x0Mjp83?KFFuXrQkl#79|u<wsk<TjDy7&g2(bmI9CIk?e>M>
z*|Z_X#|7Hb4DC~6dZp~Rnvh|(6hD8FH}`ZZ-`Dzj(}SjS6TNQ1E3&ROByPKu%&sKj
z?=?3!_sQO);-Nc2ac0oV`^>{0e><On32=YH0fvdD$7sbqGDGR6b6EX;?UQy`zg;yj
zFLw~L`adllBRk@rntF)598SD|&hbpQ`3^qyaB}jeq`X`-UQN>ViVJRS*xnx7|1K`0
zYsevY{E2Ds;^(O?l_H2Y25mCh=DQ>%!<!B5+KjT6UKv<shCFEwJbqq5r|l1C<teF%
zi?`ob73tO9(o|jjZQe|w==~;&(TVfbFOG?s)kb`pO1@G<XTCX2e15Y#bFgG^==^Z_
zWdx_{BElnc{qe=h@?-bhmo7K{^2M5Vn-HeHbeXCziSOio%)Gw-&>l_^eVy00TP-k8
z%SQV0pC)?Pgpa8cVs1NZGOa2XQwGPq+26>0_UM_$tT*fmvMeXyGXFzkV_e?iTsk)B
z+|{Iii6)4#v+4BJF6yZY?Lds=jfhcl5zgw!rAwETvh7+bHVJAKTxXZx;xdq+EToqz
z#LwT?-)|D1Gu2mh;`s67G>VTrd?+ihB^ct9G6P`|iEH3+E=|mE&0}_5emxcVTwi1}
zBJxY0#w`awBQe_@UKt6@_+!V}PJfqQ8wLjl6Rv&yJ$<}FrsKnPcAu{|>?)wSPlT%Y
z=9ZL@gVB-TINDx+G0@x?u6}f^Omw%u64g;~-UW}}PS>;arn!FFUXps&;wF#vPh)vF
zp;;zf?*fkfaOgtm!)<&QC%Q1c<KcN@zVQXK-64D!g6_uEzfq|@Jv~&!O(G}cCTkxZ
zvNJ1TUW1k1T|;)NTEPCD!8mm<_<$Qm2a+m_5VCK68SHG9*C@nrKN-csIq%tz><1!B
z*}}m+FNp}nuqpe)FKZ+sViQb?IsHWp8YwQYr6;=F=6YW;2WqfJ{_i}1q$Z?2w6(Qq
z&W{5F5iFU|<g{WUBO5;0NnCvQNS?CwZzx6<8>P*;X?}QVad@2}4UghR*A;mA#J=$m
z<<WslC-Q>Z8XC@$(3;tjmQ-;ln#|(vG;D)TyVR`j`)6J}IMFvfmIuH*m7XIX*34dN
z#eyu(-D_LdM#3L1&4w)93Z=<s8jaJoi182QOt(%3n=|X;-NoGz+fDaB4lUm1a`jz^
zf<kJ&v6nkT{|Y%}zpdF^gsnZd5L9zQMwo=^`?Y*e5HLL7De7@cZmK@CIxMC}x;tn*
zm1#zyxXl05Ja<M@voPLcp}(FyZ_sp^(W14!O}RLNu%y>^ah20~OAGST!$n0!j=<#Y
z4>eBoI%NIjk+ltaKid-vbSI5KJ(WcK9f+5GT!u1s0~&26%SwRq37Nr-1Q;4OCSS42
zU$IKb&aN#mU#ysC1A$lXg5_j}5RW{9wIbewi<{e|z2KIZ)7U4e(Si*o0EWE3Zu4vP
z)3ewLc%m$%o4m(;)XS)VJh<aTm9ojl-+v=v<FHeui!ttboA}Y%NDTtFd_|ldkN~}K
z*nK){rfq4VZKk2poztef!W+PAzgD~<@0%Ozyav<S<fpJFXGU%+G!GBPpJ|=Woi2PN
zW@0?rURdHrpu(5Gy&@Ea!u&_}QFsdhi}a5-2)Hw;dVYiiwe<*pIy_gdr_$U8OvLO5
z>aA_RH#0M9Pi?aB+8yl39|w1UL%FIQ5!!7M9(*c!&_UhqL&aW`Km=ku*;mJ1Yrl8;
zx-}2TDK<~LvQ3C4!o2W18{4@z8A>b3FaJwo=y$gHUUiS#`XZ7az;86gR~tlb=_ly_
zT*u$hNg2ioIx)5!<eF?(rT$-79o9Sld!!Qi%0IwMX=-P(eTf)I4xU#abspR6ZKpK?
z1?S1W+jXbRGW12T2e$J+Ke^|OEw8^Wq6h$FWhEup!Q_+_&GhHhk&%(NVCbn-VtWy0
zuhu?u$j;90l)(c1eAY4?{7q2c$&DK~-gdXmy%SR{zDFfqmP*~j=~dO-tpCwWWp_xW
zGNN%MB@(D2Kq6m2FhfF8YMP-5LSO;?Q@w;qf^Ah&B4HFP1o;&FVMJ8aZ7Q{^s|(lL
z6c=Gj=TYWQw7b)+U!)6@061;<@wQ5_j^L9!Db+8TI)aqp2K-i{6FrY8^FE_~-Odl?
zo&bAQD~&Ncpb}gs;LtvVtfrofs;YaDxkr>PGPMj0o=n81q=;*{MaRdh&(Z7Zd?O{#
z;CbXyON4qC70OPxWe!u$_Ulb|cyPAa#`Nli6|;xY>+2s)#3m&j(0HvTA0kOt3D6hu
zZ^+$B39GsLz2g0IyHuBwzA}kD2xP1>N2k;MBFTFi<Uy=6Zqriet|JLz`p;SX<A0J~
z{0Dc!-|fo(29mSRSLEp#gn-0D8ajUbjey&B!q^;?l!W0N;P5xFKbzO6lX~?m@&BVe
zp|qkv%iOI1u!^n#mOkumJ&LC^HN~IKl{QF_fxL1mRm*37dY}$(cc9hY1B4)BJOoy5
zX1-gY&16wwp;vwMrNYAAi<QB=2QF0*9@9H2HprZHVguvf=|6uK6(ukQ&mpxmKi=We
z#xzt5k<V$XGyrpk-{jz@d2HT^jV6UG2wg0Hya}|M`FxGSf=2dCyVvMsyoXz8pTMOi
z@-X>b!Ut9iGXWpdd!Bo>6N?j@+9-e%!(3>V8O}a{n;Rq883p$#i}+x>e;F}k?S$3B
zf<Kb9G!#0UXnMW>UtO<AfYS@^)Imw90OTt(wV0cmy8|JrH<fym&)xCC6>f6xb4l!u
z{=#~kpjJ6J2)kuhk%ag`S*ZX<EVU$g9r@6!hE>@F{Zgp_TFRQ5b%(mQ%Gh63QX+n+
z!L*S@c}K+AuJBC-GN8^Vzt0o_mCM0FNGJmXgPa>FomZLQ6}=HWIX$7}j6WH^!|pzE
zeIY86$2voQf6n&|`PN#yVQp;K@Hx7hOmt*q$(c47+xxvR3U9lU#-+8Um-N7DBB)rc
zrJ>uhq<*$>TUJ@8bwHoq^wL?Fitsrtg9X~hQ+~92_?O(=WBZo064(oJo@2t3C2l5Y
z$%j;)X~U_FWQvJVOk!iUDQ6y_tI&p+x)?ug@W3G6i@(oo{J~HoDJjhSg^!O9)sa%%
ze|&m{F1Cn6zFsMdT67$Fy^1kgfBq&fC&=+$?c<#fQ#RKQB~FEhX2Ia7<@DHUgM>%W
z;wus=ge4O+__4v%&Zun6Y6pey7dveYjT)1u!8`l8LteBzW`CcwtIQ-;h)<biPz2os
z#OP+0mg*v9I%b%?W8o)Hz<}OZyY=)`=R^_90+pJ4$8?oY=HfnAevaa{sxvMw&eU14
zdcr!DEZCWfc=yTZ^xp750fQpXJ3P|+Nhqk|zhdqCi+m&N`Q&B!`8h=moBL&jg@rjr
zwazuQB{`_JOntpO=o`Mpk((GAam|9-aRUwpVG>}^Va-noaS}kbDLS+^)8l>va9MeI
zIWd$`(a|pY+g|909Mb*~(>QkQ3Wd`D)U{7e2Lpego)#Dw=;HdrLwne`lAHRzvcbM@
z-ak_WCa}B`W0;fqd)>nm@*y;qDF;`mW>}f{G(3Elv`ututZ-vflOQqKb#*&0HKimc
z6Nf?UH5`noP>NYyl$x9QdmTZy<%xSDAWbj*J=Z{pbCp}*KDx?olh`rtw`s-_Oizc}
zh*KOKqX>U;7?cl-V1wWi;_UPyQ{m*N4f!bM=CM6r*4NfP)IYF$jp#LstwLz#$vvh~
zmO!6QHGrYMk-44Yv!9MD;}Nh&7tXb{wgyMO{t*r*vGPK%2j?hFlDE)UOv9~z(XJzg
zSDAltw5~a3GM2d%i=>N&Wdxay1T9bo;c-u{#Q4e=8dvEE{+1|9?_2ck5L&3@7m&f@
zOPsznNnd!Jbymh_3rzTQ*~2r|E<A5LRV0{{&+Z_6bozd&-)Jeb!ihwLRBAn8M*>n=
zrX2&7gmD0&x0Qo~aAj>%j;gAvBzA=}ZgXdv?_aiHSEp83DitUz%vE7!S-=&X-u<8-
zmk3%yPJ!pilP3u<S;Wq?PBnu<`_AW3Uqm{PhiWU!g67Yec5!6`#91|474J-A=&$({
z`7-!+sLvsR3|PcU8kpco$DxsrZ#oDqsP8&jXjLYhR)G6dcZ`C=mjKsW8Ecb)`GtLR
z&Y7zCVcC%AguMGao1>~fKFB^VFU@GS2~Xc~gWG~i*mM$vT4s+P9RSo9v+Jvs>Unyd
zKD+YDf@TG43OviTFMievcTR%zRkcMCr$XB&YSd}qN@1J>_Fqr|=m-;9o`o11<?mBp
z#NhpJX5Pp*{(&Ir{|ndn-{4*U$6X={o(L=QgM_et`aXA%5q_}?tk9A~id9voQak6H
z@)q=fV;;u3dH(zjYY$u?v8p4|9)d8Ln^ym(;?MS8(El=7+J7+rN<R5t*#+dWA0Cy@
zyJ9*SsKOieK1Vb||3uqqQ0|kDD$Lr(W?jRXewt_d^!%p9i{DO^>E<Om-_g$!WxbM8
z9%gx#n_?$fzffB0tk0NgbqhR}^m>ucT%`COj8In0lpuc&;gf%WkG+a4tFOp*>x|}I
zr<A47Xlq|ewVa%sJY{5L)VsfwFsFbo0tQFVuH}}9soweUxYl&a@lG9s_3&r`gL*J|
zn7lKYcM`W8vb`Lpx+joh`_VI*zb3vN(}{-dPI7}+h4HN}DeW&u2BVGc4}-m0Q{&LA
zYwq*nHvB^^rr55eG&N78NVgMfl2BE-36J*dB-K|?Tk9&}#BYJpfH~EQ)zwTmq#_Kn
zhDev6|2Yy+K=i~b;JJ7Id<6FNPY4kk>kU%^2w`r{`+kMB#;S9xU;U{C&@eLM6Bidp
zOw!!U1FuRv7Y2D>T}9AIR`8}cp;1YaD(;$i*n`UM2a=O8fmPMjrxEqP#F)M|!4`Us
zT*U92d{5x}1Vtz*!MNJm+iL;8T)BGn4uUZ%RVT$v6Pa6rUy5{lO=5gcV2Jm8-CPWc
z+k^(13XQGar+sY_YrCH=kSE?$QS=SQ4cykVMip7$G4Wr8vh!oB7Lw<|>PF^bBf{eV
zq=e7;k%!{NLy>^zx*KsLU#>xvRU+>nwsf{Y;j>m1zG&6h%sD<qD)B!2PBr&Za_yG#
z>}+jK`_^e9b{Y#01w=z+3Kz<25<9V%)2m2#@59ant?2_hRxv&NeA!pfC(j?}OueUa
z=Tw$a(RY+$4m_&v_|G;<7m9T$@}|vOdb3}V)CwEhA9f@8zel}5uJ~U$J^%lCibx{n
zxVw`OXvhHghYb?&3iQkZuRVQz0%g`9e>a;H-Px;3@Wl^T;CNJe2#F`z=9*M}VeMP6
zN-T-V-ET#z$i)A*Yf;EG|Ie%@m<Lalevpg=uNaMQbDOBLsy?>c{3MfIVg8!yLcfvG
zu&lO`n;l8?aMy~EC(B0^e3Xy`layQ{Na1d_PtX}iS};yXe?7>O;*j_V@oF<tC^_=E
zrX}~K29s-Gi3@=?6ROIj`(u*Yfu&k{x><lQrd-^SIf56E9wRv-m`U!I6Y`dttarn9
z+Ue7vqe*LXcTxH^$&xrH&*MIx4swM2B<XjO2Lh|4*K184kIlJ$ApUiheA2~oFcKy{
z(z{@&JsTf`i$uOoF5%qkU$%%DE0K(!7}(eP3;qUkbyKCjf}x?ICQoRv8OOW6{pPPe
z<T-QkVM^{gKb4rYp`|pTrOL$GG@)UN&%Iv%6!#00TQcm8mR|`}W%-#odds<KLBW12
zgC^z=HoqJ{va@*cth|qDtYyoE6eEt_!9dTn%?STT-)^S?UqUUT@L|djA)cu-5={x1
zFM^Ov7zPgBWukf6mHkYTi5>;>95<fuX1$D1TzdQM6%479z%_*NRPjH>SyxvF*8(dA
zW=I>Z<+7RCZGeKq1{ZaW)@D+!UXAIQ3a)dD1?*0812!nX+P0kDdscnnVIdF&!B~io
zpTl1r@hjGau@4vwOwc;CZrO*Gp98Jpl(SXZ`cu<fb$z|gGZtZ_Ju%Y+a^==!y2#mv
zDMq1Aw5+pCLXyJg**S!X+|F+dmB^O&CmQPOw}3RXVCjjF7e?GnJPFCzxc2L{-M$p;
zv<vCo_`-?a8dc3hWEo!td^0lD4i@2xk`fR0<w~<l;4+<?+_19<X<C2``!|T*?cW7T
ziUN=E;K=r-Jb|7`#7|f+wW4?z6e&+1dOT&}U={kQ^^`d+A<odGq$C2GkjCljOS4~s
z-}=L!Aw&TEdqhbI4g)y(uz`Dm4o_{TuOgCcPlwAe!zGLW9_8xSRy&@+SKYVdg7doA
z{wU?>bjMHhxr@Lg*b>PZJlj_>rSAK>Wrc=znD>jUVd8l3Oql<UuiZ&0wfwICOn%mS
zqLDe`#d!pfk7$=J=vB;&c97J?Z9>C>Ud@>NGMkJpo|clDS~S*KR(8rbk3=5#DvA6{
zE7|9C|DvWZxIVSXSa{eQ?0nleIB+=<i4pfnoSXI+db+yLp@%x@AM)Gg3>6-Yqj$F4
z%jT%4&gJ9~bDrp-I`*$~_XG4dc;YG^4WOkJr+=3C?6^3Q*{Ksqse>faCJx%nOhrVR
ztQnFa#QWoZ!D}nDV|4CCO2QBJYUt?&x)!$S2+9!w4k!dbCLqjrpFiNRG%!4O{Ha7e
zQ&%f>2@y)}V9L%lO&&W9^?>P2-roHl8lXd0uUy$$+vyL8cgUMdTmZaAAzbE^m-oFz
zuOoi1k?`i{Z^waAGyJ^l0&_5pMx{!&I)=uSv7lR`a(<Q{VEiLF7kecowI_#C2Fggn
zl%GFqa|DZEDJ7qH8RC8jViuF;bSuJ0CyG!&XOGTw(7@P$ls`kiz`9z)_74VS09l+I
z93-=l*X2QY>WEOE+c=N&<}_iWTv?K`BI%(};OvY%P?7{&h0N8y#A7ZDdw5*UnWXQG
z*hY48ebCIk6bqzLw-K+Sq=ZzB{DO1EW1~U?#uqc-w1EM63E4C;H;=r@-f(2jt-e_1
z%EVV#N)mFON(Fx{I$QVVXJWkcT?SLcEL*cl%D#i}=O8VKB7<xtk|%H^BAyI=i~KT{
zJ(fUtW8nimi4@Xdl0DL3U2g5w2%ngnAw(D%7l5bP(@xglCq8ifXY`X~p#Nul)_({D
z&)9{nc{&d*(YM+LcA8;jTVAaZ&E5yEuHCzzt^V_7>oQ@YxzfzMv!Vgh-Vu{j5oNpe
zVSam|R|i<ZINPl&?UAuAtWPj;X`ZgtP%nh|N$1&Z6+#_K=8k%U3t~Gd@mXuR(zBBh
zwqLWI+z&E>!X5Zf$dYztSWm=18ZWY4==_$&|NUP${GS%({#Q2@0flSz!H+#tyg4;D
z(^nV0D&g@Mz=po1f+|4K&KkhE>zM=AW!+1o4JQbV*>nXos;?RY36|r>%b$wmG3_5{
z!JJ*s&2d=DyKu#*KQ7+HuF<xQ4)NueIhNOREd3Q>%A%r|#3m@0FH?b`;5wx36nxfh
z-M`~@Vf#~I7wE;Vr^Z<8GIXMIb8~;Jdq{^nh0(0d5ryL8x--w-w4tUC=Z4wIzcRC}
zx9&In3EzHE>~_|Xx4hGO6E9J^O>PN!@dWnK&cjlpWcupLk`0MTo6WoEl9%6=dhQRY
z)Q$n>6*<r^_PqPBVw;X$7(>r*>C)N0rpD{E*F$=o@@kO<xqh7{rqhIrJM30-&v!CC
zE<ww0PU4Y-znd_{t>5AmZTs~S%2d%=##FFxuJlpAimvLkm~Gny7ZkYP9{K}iYDQ~K
z&N*sT2%H646EezmeeVZxnu(WiDwQQJK5Ss0QCC}A0Qw49D;UTFmz<QdC-+_fMnmEV
zL?q!jMHJSET7v?^%#ytBY_g0hQ&*_~*?zE_CUz{Z#Jl|{^vYB)$%j2+uUK005r2%?
zCJH4;llb`oW)CE6V{DOkb+n#pfeH;tvbBwgNwRb^3yZju;$h-&J6KmhaUp*2oTfeR
zpOrM&M{C92{v%C>B&J$LF89E~_kvAJ2m{-u8t?x$n5QGOeog|AJ|t*e3sjJxdaq~B
zTkof<yhONp1V{Ys;`^4ywr}gdX_(!^GMwiQZ2u1h=R4UQlP1>uO!hTfVB-B%*`dlb
zA1~2dDI%ii3uj%YC;Zb2OXT15p*<ow1*wtzl_t=Mp4zifC5H&o**wb)OIEh75lR0J
zdF$=`?GRz#AxWBqIxW3Iafbc|L9LiQlkMcAY!Z67=cS4u!bjgRS{(BivuZD(Qdzla
z#KYbYqZIF!AH7A$8`T^g@)ghW6SzE;3dk<iPTk&)1c(<ffVfD;r~8)y)TvZxFIOdi
zA}p?u8Rj99lKDNXd`SLL0oDAbmS4Z#K!gwpuCrrA0-*Nz;9h?IV7I9Tskxp|lbMl^
zRt*>Y3!fkHDm5V03T!`wKa~4m5Sp2JDE!0|F5>P;@_sWeOc)X*8cCkXxIZ?{2Wk%~
z_wm3s#Au9jzASnFUES-PBlc-TEJLVQNQr64Rp*o}5FrP-^-&+5tw=&mgkB~0V(UL8
zSHDJx(`yuRb&=e~$@pRxshR-BwQxI4_FFPfL{eu}veTa>xF_J{%Ph5sbP_!TLv@vy
z`~)#rYN`Z3KMp%;0z!q#5Ez>hiP{BLV(4uy(Wya;UPgCEOuipGNH?{U$Etus48d<=
zvfSkr!-*Hl+99X(Au4)!o(D{2Z>~)w!xLm%eT;kz!u4D6uAPEbh%%tLr-Fo)OKo-T
zmjZkHW%QZ)9obM{lHdjL{)z@jNxvX|JO3!f!s3LR{I?tg-6W<M&{Yp2nkCVA2Qqs;
z_qHn+LG$q7*Q`~%wkPMIuOd>s0-|=?QID9BwKOqjlkVFSlws`$M+ShaazXmKLvMAM
z6?DKw5KM1HLhJZYe0)63OC)noh3xpdEi(24&P`HKc|YhydjC1k1y<<sLKj=<N=<kn
zL=g=gxkMWU0SU*=ZO)f#YilQ>pA3xyaowjAZ7ti~FR)jKq2)52gHOJ#?lD(0I^>Y&
z652TTX}7}Js6_H1w*4<Ztr*4@Ye%r-MerSr!I!mkWHblA)m+{Za=4BW02N?Hm<1>K
zl4r^%)t0B%SQR4Yu05Pzi~a5A=VzMv?AbHZan_@bu<um3?f~sX6~GD%vDH|~?rG_z
zhD#yP2}3;mFq4OMrFQ~O`7)>yFr9mMpmM-wQA1r$JRle0nX18h@_`>N`pSODftu-l
zFA|(Nm9q{|Y?#hL2qI#~ssmvQ&>ZueMl!{1zZ@i+^4)yc<@*<ID$GBt?Ic%VGu6VZ
zfo>S*^X_I^$P?Lc2J4L&BfP;9r`jSm4;go`wcSwz8@cB%S9S<-n>rTWT^Z8WJx|2X
z4|++mFid0>xx#lzD%(Z~%rBY1nVJh)ii(bdR`YnER^Kvu-XD$GB`FXvnj9QfICMp6
zxs$OVfBS=`NuqYXM_B>D8k0Wb?=kCt+MgAu-aU&cCpl805Vi<`nu^$&8RT4fKoJbL
zlk5hxnLA-+LZmwG9JoJA^deg%uIfZCNAPcB`m7H+*Pc=?%v)mS6$AJ6!b)KYItn(Z
z57;e=LKjD>LLP>0B;)XWCosD;o8sE15psL8q2se+aVLg7_IUAlr2-#bIG<5UKF0Po
zCNb!BRuRF9X)X48#Fn5egJ@JpM(*7sF|qT%|N2QchxOsB>4{%vQ-Gk0AtK~M!err`
z5Nk=#C7n!FJ;?gZNyC53_@8Nrd)<VD9=qJcNuu2eMp@0LRrI;B-`9vfjNU=M<*Bw;
zHDAVKabD_!=SpMTyz?>(8F=nd%+G?AbVQ*GAL!E)LrtJ4Oi+11Qs$>c|F}8XE{`d3
z$9``i5<o&56d-W_i!<;r9V9?`zZ;fowFAqGl)k_^&d-iN=rwR?NvSPot<s1GR^NwD
zK|UZ3M1b8mYee%Q@I%EsHfsBGtUF6jOR|$!^OyEI<&!#w-8D8{@Am%nqeP$yT_Xyi
zDzK6>$h;f&9bsMR8;-g#i)%#xgSAf|D;4Z$_Y(CXLiAjsY&*P)cjKFz>@<CmwAOB-
z@vq&<dQ{WX*wiGab?DHc`%NS%*6P$f$(%)D4f({#QbX4CcNwLJJo4LuT`ul=@NwHW
zYuAW<<lIR8?&x7PYQD%%o?&|q(@&q`D6|uPE#&u9f%D#PF|TUr{A&y&T3#g<JdN<u
z|NX*Fea7i?w|@C$566#cyS@(yc&Dbmv`D>j^Tnn6?}Fr?*mOBXownQml9@g1B7&vw
zt+B+MWjvhOxE#g5*gh)b2#XZ5E9V$%v;sfLesE(pwFOV?VhtlA|Bp{@{iE>gZA8J#
z%MmYLzT6E|y>($>VL6K!c1nnR|A#nD;Sa*TDpmlq#UP<L0S@1B_Df_;HBvfIFajZt
zK16a=@9(N~ttDT$>!f*11H?6n1xV7-d@`Y>rDZfF-c5LUDIQ7NTojLD(aU#bGy|?r
z!-xvp%mT2~hvI)F#KIX7P$m2O59ci{nw?p;2mar(JBE;ostz9+Kv$w%CUP|&>8?i+
zu<tW7Fy6lYEZ2f6LXlC=X`FBoQB*CRtCw+*L`)_sN-Cp{X)j+d4c8;}Lt|rzO7smy
zHm=^pr!b*hX9&ppB6`_Y=-pbCEt)%H?39s_;gl7e1@+gjl;yXK@D^D5&Q9ZmneJb1
z1VlZ<LuAXsmHqY0%6x9NPELB^`dgffhl#U_TeiFwJGYGl+c#e6?1Wa-A)1!=@dkHk
z8KlNq)pe{jdK+7?vK93TN055J{6Y<r0C|b`7n+Zre<Z5(FV=8^kt6!Nq)U}2GFe0v
zTZXS=eiQ0O(psG<N=nGOv%-`%NKr%c^77^%K@cJ(56Mg3d6gS_mN|A=9uHYt=A0}g
zqUb28YbahP+58RP(oC@lkih6O#A@sMB||9FDCf9?vL3Bafu>K;J`1!RlMND#&)yFP
zK)!E3OaQSJ<h(z;KHNc5koSRV5v#&CX-`JuIVy-PDLGqTEYB&LGjTe|rb7CSd{=VK
z2`^IWG+IS-Pu8ug-xYRxFJK6DNhPd0A}tR(W>WmI(QC7)kG7%HPKm4a-w<AckiE1@
zIE(}=$LD&i<+!t1Gvm6$14M4SEiyX&h$g~#cC3>qT$NE-fT!8s3JG#Cym8dod3zZm
z=7G6Zvki>TTXZIh%r951g0-)pl9Cw2>K!OO^A?Ot=O^4Pw$NennJR16Xy&8M^0SVS
zVm@r2gyCFf_^IXy&AIQ>6Xq7D^Z1a>YF!v|C`Ndox5y-7LHOi5pi*S~L=3nP@lxS!
z<wnPruNBp}aoyFRx%1$6;KfK;MnW!lW!K^nMRvJ|W-a7Ec@AtC(ZZ?Fc5-ils5GnH
zgk<UAb>K%dqFJHBUG`h*RU-*BHzCYmM2JVtamk%JfrB>SW(#Q^^Bpswdibzktw7io
zlVXm$itBIv`0Q0n6BA`FTR1o%awHB#+w~ndJ;(}(&h@B~6}kO6eHGac3-q+yO)w3i
z?(V`XTf0L%a<j9c0@6t^J_1$J4iYPoI!qLinKP#7aR%HR9_y_H8zvNO5Ld#5-CXxe
z9`ry32o4RbTAEs?Qi*rHAsm{O<)Rmztw_pcfSzhgxw-lz4<3A>3wjJS5K*0)inu@@
z)4WH#wz@j8g)yk(-Sy@v?{OTA<21d-3opY!0cx9bJI6^%NQAehCdUt&McDB*EMuWa
zKcnM{O%gEkdwf+QeRC{YGHXkt!c|OSc?Xs6DGLr#%zG?d@YL&MiYlM$(o&)#pM9*f
zq%}1*o*q<=GVhTNn3{YKrJb2mT{UD*5bV0XX&W0kq`POMS)(#)9hFQ>Orkoq!3Wx1
zEoCG^9hqas&}&~Ytk*V2--18(3m-n51Nf9Bl;vU*oXeS-pATcate7C+z@?**njrG+
z85;5_=JQx4?D`^Kw!@R&njP=9WY|l7(X#yuJ4MmEuV24Dzsf^hZt@H!{Y86b?7En-
z>a!9O67&Jty&G3Y`aiiT`B_T6rQ$l?7cY0Rudu}2v1TdWC{NxUJ|JB8qByCg+|}(`
zP;}V2u{f4X;m+e!-GQ`cW_GzRz8_3b4=&bql2$i!imhWXx{dX<j|o@Mj28N|x97IK
z`-Pk&dw`<Hz9CbScVD`jj=TBaq-4>D8z$~Gn8t`7(kn|TvVL>5{ZbR`KrZf$4WfVT
z^%tW?OOr-cJ<o0y0mYn7df)+Bx!yc{sBr6e@N@xGza0-k=1qkRG7lP}MC6gI)0l*%
zgNBPl`5V2G_q{@6BNsP)M<GKf>hw1<>^Hm9khj>M*VVWFJX^#kR4#Y{?AK*-nOKwJ
z;A6X=oar}XySrVSDRmygZyHe%i#ZH6rvrYO3^t}%bw6<!y5^8Ki1Q?dz=3EDjT;g#
zG;JC=!9s!LA<pyF)YNR?;C}Pro_xw&bGQ6v?0fe@I}rPXygnZi=&#qnh%=BemU*Cs
z<0*e*<;s<#(AK=v!tS-Sv?RMXK}T)!(UGg!p>8#dV_8{Q%JZIKT(CA8!tq?r&d#S5
zETB8>l;1a)Sd*I?9Tpu;QM37A8UL(i&BWwn;oM}uhM<h`CwBFu=XrSwljCl`|N3=j
z{OUNpGz&F{uLmygIuWF^c+IW+v3TTEvC}q6n47t_Y9m7zyAo+b<$|I`0a1<cBU>mt
zU+V}4!cwQEySUacXN9<Vc+?hxkbV(RZ>g%OdEhmj8;GdWFR#!%#y3dTJ4IJd@1}u5
zb!Kd2??OA|J8?NvjZ!lou6ICBbc&SLQZ-IUhxutnT}DwN4N%HBOJQ&8L`ophK-SON
z8M#f?LAQhm<!Cegr`Oh&mcvw=ys+6Dd5_8P&CA};nyQ4I?qiCvUuWnJrzKYgWJeUb
zb35l`(2wpO?2wpP*`TZ6?-Z~(!H+3y>Gr8>;itz8d&4P{FdKeRH`B)A%i~w-$E<yn
zFt}%QX1NZ<cH-d*4Y26TeF5&3l#Dy>sC0XgK(F8ARmjn_-)~w<JY>T;sM$L^E#3O{
zQlj5}MU<wfUl<r@j_bCwxA*I&>*TsR6&A}vRt_l{>Ml*zinC&sqR_{yvK6~q7Eso7
z`px4rQv_=%)~{SIbuKGdZ_mbd2u*#cR8m{!H7O@2H;P)vef<2WzI5<T2q%^_-%(@S
z)1gOSFl8pQ^RYOEg{wCM0InNXo}8Lu)sT@QbR?1h(TOt4d~_Z)7@~x;C+4+qFa$w6
z2$ptIx(@Q;D6|}K_4*n63F!fALxn-HU^M5F+p%$o2Va-uZ(pS_bJ%GX^_G|VI{j6`
zbg~_-P(9>WU(9nYe}x#L{oDN#<&lZAru~70hY-n|A4~sqU)2~8la!N4#)LpnrEgnx
zB-E01*?lB@u_)V77U&)}iqat}@i3iv>;@-PVai-PxZ9{G5-UQgmXnlxO<-ii4HB1w
z;7x?o_e#z`dN=i0%;cymND`7@B2~IXcu3S<q@Vx*C99nlPn;y%)#L3eEMe~_rl&2Z
z$BE1qWgEKHbq%{nbseed%yvR;L<Y|BEtLLVowUjtNK_31wj%+$cld4AQ|m>{@??V`
zwL-e3=>AUC=W%gee*{~13Wh)Aprjx9DxaB0NVJpkLt`igy-7J16uJ-MSh<-WhA{BO
z^0xWo)q$)n@$@qre%8fJ|7_|I`bSfTzr@x6JtzV`w|4E?9XSo8M!da=_2svTi1APk
zxpZf7aq)$u;4&#!uLj?NP>~#W67rDL<Loej`EcEYULh$+JYs3T4@fU?FUK+kSdWn5
z=a`>`oGgkb6iLSfgcGRlEIKaPa%R25c77Z+SyY3P87V|j6OsNABe>d$HN~llm|{dq
z4mte>sNGO6;85n_AoA$YXCJ)_;hl&AkHy~+B7>B+kQ5CmQN071&x`2gU|!YknB@o{
zsi=DSh~?6hrQWYuitr-ENJ}8ZfZKZL#0m)6$n6l^GxPlYN%3r~ygQ1rIy+I_w)E3q
zf>{?>7Jq-`Oc#d-81dK`R^zU%9c#4Kf}=P|Jed?mTuWaEBUVq_&;qHyzkFE+MMPs`
zfNQCB#iEAU>FqYGk#0GQTcdW#$Z(NVI-(G`@`l?0!V+Ghi7i{oL)Fn=!*n7AARQZ&
zl$0<(q#R6s<Y)E*fYnW9e!^aaskDNJA>khPfs5~`SW7BZ>f^5)+EICC`L}RBc4>8^
zy}-uRR^V93c5NqCR7pt)+BHzBQUln#0UJoD3qjDo3{l2$yTqbSBRHw8s(wPZNcO9~
zxI9Su04biFfgSo5>G`^dWpdJDr~9hmU9i+Fk4h-QetN7|XPJL-bbKxsLOhh3v+~-A
zhRimx(DPjv%{7iUp+cq+>I-_2>OIR)UO%Gr50H4qNWfuaYGR^*C=akF`T0rV;=$W2
z0_$x`)EC(Z+bvMFl8&Tad%&gO2IH1pEEzmXCP9fK6DiBZb-E;oHT(PH1+L(BmhYa(
zNNz(Nd#rqFR+bFOs6$ghIuU>XjXCPOyu>dBY(|3Z=w~~xO#}6L5qT<fFPp_#3yTs`
zBkw-e2S1(0l0HzEXH^-&c0!PE1!|&z6e@uo0<JS}Odd;IZo6`>31_&~b-cW@6Ci4>
zOZU(&WQsdG32EB<$Mv*uJrtN}8)9!>FDpYCX?w@b#fV1KbNl_v;&@Jzwj849WMRp$
zk-S=e_nJBDamKJU(~!N-))(Sj(tp2CLmZym*Z-wj!2Q2|86>BOsAbv1HHyPCPtfJ$
zZ(9Xc0hM5}*{;Jm(-xDXq>qHtEFki~+T2L065f?cB`HHRBuPqmx?1BPX+c1QBk;S#
zf=vxH{1xsZsAU!TQK{$_QcOawrnW_USXF<%@sT&|EG|n@t>hZW8H;IJB5T3!Tv}IG
z-@~d}07h*GSa2lXMt<TMd(QcVE}Owt#}022S(%+-?TGKvzRd#?BehhcD8elSg?nJY
z1VA-;2GtO}d<#9w(V8sO>De4r%9|ZXlFTg0FbvhkGJjDTsAXwXfskG@qg|4D(vU}-
zEN^E$jI}UeJs1V=*49?U^P|WMKnC#_B(}?dMSbR{0|_(9yVz>gfvg8Rci>j#>nw<)
zef?F#PFDxASbz`eU;$v4YRASJQz#EwWmya8aUb8lM{|9VJx^SC?;o7hZq0z_AHxGJ
zKq?}oAZmyXF)x;jyuOPX*-k<048HbXH=LjnyGA3}F<dR++sy{Hr-IP<AOWh9ql$0d
z9zoxW;A7e>w)#85X<%D?3tVM6)1;|wunCFaItjTp_9WJLuLgpcVLj4!ytmq3Gtm#^
zVDE7j34HP}_9&Kb>V+ihT0eXdzWm9z5n?T`!2)P49!^0HPngcWcI|w|(;EeroGc%<
zg;De{a|&y|vQ-5kURl3tShdb=)-}%^`12Zj{^&$>G++zh<#);iRFjS!QHg`lp}@rO
zOPqM49UD0V9G6yzt)}H`zEY3W+KQq%O^D`&rYn=%EuG5r+DZEhPLCzRz&fJHH0tz4
zU2_){+VcYH%yW9=p+8QvR@eK~b?et_g&|{eph9Z<dbx@BQRWKqELSR>=)N!qy<3!>
zco8V7mvl`}D`ED9x0!bRHx^vzO%nQis8aBqZOiBCP0QU9yqAkLVf+7VzjW#k8uX6J
z)%C5Ub<Qd6>7s1Mp6so@bZzT$amEhKo#Y#y`l>=77LaC;51$PDYPp9~s`sB)GgEUI
z$pztctd7Mucn%&6_jEw9&forRdYd)7o_GFGDE==3f*ZQpo(Y2J-BMpKH86MMhAU4O
z>Q^|L0+N4xHgco$V3`jU+=+ThwpqlaJ1HN_nU`G-jKd64<*jXR7*Y_%MDnF&W)659
zHSm(R?r|^E<I8YT*e@mZNVmahNO^4Ewp%|fr5xdtwomEVUIPUV1JQAj9$&yschmGm
zhn`2@N1Kf{-uF{+Gc|0?OqsrFA}u*yRpVoWD~qAY&v}M}gTqUmz&?`8On6dP`~Ll1
z=LR^NNI&g$u&LrQ7dbcx!HN>&7rGa>efc92kK%F`SNvQ40LxWX8~`@rd$SS}#3noF
zD7gTHKIz5qdp2f0q`e<L=u8<vi~%r`YFL66@UXYpgBV>y3b_fbf9#tGNV_y;EsAta
zE&*5KT6)>JNXgblNR(_9QGYwGBgp>R6%@g7<~=hrbMuzx=7<GiPnq8r$F(_VdLAB2
z5ou2rwB3!bUE7CxQMrM+Z2hnB8Qz2^$GGQyl-#%P8^ZpWT~Jm+h#IbIC=NmI8QNI@
zV|w_>H25XNUw6%Bue6G32_v4zjDw*V`$6z;P)!ha%B&L+j{nL|oHd<1cQ<miK8C$G
ztm;emT=hr$p3PshZOODV;Zho6fwlE1u+|UEJc7Ctv>F-qDKFe&#U&(;f-hCNIuKu-
z`;niWVUMW3u;U_zjnN~az6rR}az;;GT^(~2^l|K0+>EPs*V#ATDb+j&v{hl{`WV)_
zbfEkrO=Ab?T)l6`6I@@3d?^3<bmT$fRlYYX1dTh^s6RH}>#Jg^bHYWT>->mr|AOC?
z^n=ZWE{K<8H1@o3Yrf&`7QxAwdvCL=%q*jAjIM0aN_*jC-hDwq>(K78YUOaZJ2zT+
zwfY%#F;RsSRb8`|B`%70g=7Er@%O18=Q!Lx`NUSI`1z-DF5@km1I#v-5Rz@n%YPdf
z|INnyp_BRh6Z;<?rT=>gw!h(we}694rNqI$b-W?jwJ7r}G@t70lW5I)-_*n%b~;j^
zlVHu!aLJrVfu=9nJgZ2d#NFEjbz*nNMvLtN&HfUxlPB-(Kds^4+17uOm5PArJ*WI0
z2Z~fpvCs=Ct0KkZ4|W~DO)}g}6p#}kgL2Lwa=&{xg>?3{o5Z0H%_DiYxrj2BZz+0d
z#WxaXkR?$eH{C3}xQMurG<(_%7+}QX^ywaf)Ue=fLxVuuNJ#3rvGOAMQ(V(4EP>$8
zCS5Fqo@+C6IL`yp%%jkC60T>1x-18gFcap1mCr;9Qm)UsLSbp1)YET>VI^hvwR$t9
z9e1Ay+5+Ohirg*%jdqkk^Z}(2l`*+Gkt9&5GssD2)yY^XpVpQfau6raes^DFhgSBW
zxuqA?yJk=J;#|LY94i{j5Bb_L4VLm%b~CE1-#lgwG`lK2<hla|GF2!HNu~ly)$_GY
z8ORy87b`4U&4ceI4fF^tWKt0%ZT0s1n~<8-_l<i@MjIUgC01w$!%bqJ^~~l!JsqSO
zYO&eq%yM!Mp?UB0DKFR`Olc*hDUtpmt626ZExC-Y>{Icc5({>BvcvCYB+aZ!d3}rJ
z+}o<i<hHS9+Nblf-`-oK!21p0o$xUFLVN<f=T4gZegp^C7KT$z_sL}HW~aUgJIxp1
zpK38E*Q8TX?mCgIS<PT<CiA?US21a%BNc08Xb7S*Mkj%v$ngk{L%Xtr$Q>VbT_org
z=qoaP2rVFP6Q#o&d3XmGTi@2#;Mj`MeaY;!J*s8;E_8qN83j^(%$r0dp7Boa^?<6k
zZ+?gf3kwS`79LC_w6bu#F7k&&jj`(jp{(7TQ>QWmzDRL2-zp&5?cRu>EKSM+&@CFi
zO!G=i9W)uCjXR?K7`pIweI1#ypPPY!+(ZimueFupeFDvU)Pkf&*LhH`T#3YYG%)X@
zLI2u8MjfQ<X4#t)7kg{NZXd_yIVKZZd?0U3y9D&KK6KlJ(v(7PK++3gOPxI)qeCNP
z?#w%&O-NBgPwr7dNFcj7(_w{n5ycP_Y+~r!94C2^k1XW^o73(Ou}{wk6e4xPix7B;
zn<(2!`;pLAI{I0q%|HpDm)$Kle2esX*sU;IqLXQR1xHJeNI}o1jaNA29<T>KzTLkb
z`RAU&LEfnhZusEE+rystv5(NKdp4Fj=&fD9o)BNe*Me1f0nhzVC5+{{)vrjlq*S-H
zkt|Hz7y^BS7jN?Of9NZYMGkM??qPD-31(xQUo!J8xX`gDDCM+L3z485g)0`vW$DSZ
zf&PA%H<s&OnPZBu5P#uRW0`Md^-<cB&~9~r&V|yNgr-;L-*6hmR*bu(%F<HC-Ye6e
z^BpU5<fg0>_p^-r%2857z}Fc4{YFU(B^Din7E!ZN<&}vL{ji#Rp;;9b8XWH}BNc&?
zmi2Z>A8dCQ-zTbZaAIQO#oQ+HnAZ7vLYx{)a~BY1;dCJE+H-UBl~sluvyL?+306yM
zdjEd!V4@4?Wb7`40U>>^#?Z)gju@Xi_Z>Mt?;|<gOfmhly8VNL<%N{vjRM|TW3u$p
zvcTfx_!KDct@#>oF8Ub=Jm+P9J@F<dbqn?uXyjQ+Z;@`OM(?2t#hx<)z5>A;oVHNb
zF=(H@|1dZ_Tv@*HRAAY-PBacgK?l9HRld*slE-JEpPR3C;6vLClIz7D$?LO`9Yi*F
zS!^BU$BLpq(LATsZ`{bb$!o8pZ(Xu8QZ0J{S_CjHpb_hqCBb8b8`mX>HRp6arm*NI
zqVX6F6Ls6`du<x}o?Fm83-KG*Dzvl0?>j~vi|bpTeH?;jgvf51;;v1DDe)p4A>_xI
zg_+_MdI9=U@*u6-&fV43J2>b~xXMfN;{l*;0H2Aroy*09*gsFJ3(Y`XNFo-K?mb|z
z&>537fqNrAMKTUZH+HY{0FjRNsXC)K*MedrU74WqmmQE`#}<C1;IX)e!eUzPT<Vbj
zz#DZ&;0Q$aRtr<4U!o<b(ggInWc6qv-46k4k@&FYv3~nKskbdeuIOQ3d@yUWX2ph9
zwt{z)$z56)rp?X%L3Xaqav%FtLNwNB5YYOEgNiV1u6(`ReOB{N`14QXqA~T~nG^2H
zuAdGl3GS05RnSKSaV}29nb;r$`-U)qrd<X&<s@GpWuAv<9U^_yaiANErr;$on?Bgo
zQRaM}r6lmoPfr3hnvST3V&E<2R1?^`k+{#;=)<2mySQ}R7L1Dkz8pZiNosG+OGYLa
zTZhj-d$jZKM}+@`d%`mTNSKDIgDdruu#tP|;m+`)N3UKI7e}_(a0;1y*gmdQdkZba
zXD9cFrlqEa=koRUB`#$&koOcU6sM6bRu7VbUx>N@=#F~Sd%8}FEaO*8)B7XYENrL;
zd<{nMlz{JPVFh+*OH-vRpkEP>I-V%toq~Uxoe4D6%%r0Sj@iivrt2i>W~f>^4BXjF
zQ8h&JRO%uJcd=$*ny|V_Y<biDo6}bTsyD@_$lggoDnT$c7U=EElw(@RXq1oLGmD06
z25=;<Ikr>x`t|Fft*M@pt6)rkA=$IsVZjR<&!_{=QU}%0pJI>0yk1jr-AT9v82jp0
zOJeAM_CTJ|O`+?1p{*pZm%fhohj0UX!@0LV|NQfrX#|)C$Z;Q0GOq|oSnF=T5y8e4
zNWgF0@P3nrPv{R6CnG~9?4xHmcMrL7S(@?~!E^V>FO8|$6We`@wmVtqZ8KE9*{?j-
zoGQEg%Be_mrz`#R)+FyvMYR={>)}9)2rpw0;-960<R+G<8jUhapK0LfQU<70jQmVl
z^bMq&5gk2z<AtKF7w)TEwtcw<e*Pys_PQt4B3Te3ku_SFo3u=iPHjZ}SLupjmJ=6d
zzn-l-aSuA_PD*TAn&jqq@hfm>E$!)@PBFgzmcL+K#@^G`PRoDC{&VBCcwr}AN@wR#
zvdY3w!9}`(aMz0K%<jjWj(pf8Z=LSGgZ-nOhlfXB$J^vjPBC>YEpqKv6c8ShsYy!<
z%W_Pse^#vXKj!rRj~U1^`m6@}^x_o0t-Q@?2LYZMFHd;?MKaZPK8=OP?x=s(s&E#q
zj-c>1qC)pE)<z`Vj!+1-L(G1Mw0=RATlO1smY{u0o?6v69RF6#L{tx?UaNo<1F`y?
zA@M~++GF4vpg#T-NuoiBD@2{7aFu+z1Eje(^u}l{O@eZwjSS7rmH$JzRR4_Cc!uqc
zC4w190!cSPL`~!G4y5U{L2yGv07^=vgSO1O<yIv{ZuvxViqnl$(7)9#IXqf!&~b<9
zIgJ#u2`bJIR+07uqhcT(E}`=f5&#Y7mv8$1WdG{gM$q)z+ba)Kb`tWDWl#XH-`q&4
zYn~!~cO8-P6o``ng6^o1p!^B}<gykZWO3rv1+aV;8g34@1d<}dQuks2ylZV)tF49U
zS(eBs_T-+2{)mz_+Guum4NJ{eA+`YP_lybX2E_dc4Ca22qiA;c696nj7nuhZu#kqi
zdd3+q3}-SmHAR$0ej%%1r1W^whK7c?>UN#=Eh5DoEFWS(AyjF^vBVqP6fl4ErxGPx
zLn%AsVRm_vsNNk><xPGs6X;#$C2w3(5&hq0=x!_0MG&;9DK$2r!Y2k`^5X1IDVkiA
zSfjk$qbbMebn95`kW-c}&8xDBd{fN2TYRFOkB6tZtKz#7^LQj|u(oZQ`e~?i<mf*L
zf|O(^Q^QJSl2J}j7qcDm$4GxUx4DUTd}(m9k>R4jDUK_zAqjJF(R&eM1EZP_Kl=uv
z66=ajp?X{HE7IVTMkVXJyhxH3D>C4dMiS`V%~DI}nm~9=%yCAKGF)`(<tBt^zFw&?
z&5#QkZi~NEcg-YryN{G{L7-aVx%APu$n<c7UloryWleI6!j1Im>ib?4q;Bn-o|`*u
zrJyCy)v8odSU7IZZL!t~GNOx%in$+)bP2>nR`}JI;wlv=$rVf;bQ^XtS_fYWH-@2I
zSk(23kfn2(34wWeIC*MniyR>CC>mNx6Uo}r2>a5>Q899Ef)LF^??IBbP$cZk7$gM)
zLx3!|`%lP@7R-$K=Vc$aW93Qgg@_Pt@n~^6QeB87@HI$5)-oR*5BUb#wX2LL62~l<
z5Ug|A8z5vwzRWtX-#3}GTZA`!4iMGNTX7vrTaRjn?ZzEPQlV+!V(gK|B6p4_!Tm`Z
zIZ*3ozMcqIe~i?&f8bsfeu-A^yk71V@Z@6q_MPnD+W8WF;<&gZa(C1vDn#EvK3bgh
zKR%FVOGPQiPJoXf+>%nkjdk4ZlMJJHEARU?pmr8lUj&Zt8ZPCFg8Is}dmJY!6x!7y
z%pjPI(v|HHQhE2Tr}BCyXiXt%@O@b>MlbaNzP-^p2yM_hAY#&^iN#pY_qow=sZwZ*
zh%5|dL!6J2l9on0^r3w5^P?uogqu<-zz*RgxY@*zh=S^8CcStskfsHoCFMU10t&JE
zLj9fa=H_x6xBPT=$2GtG7zFh%L=7Ma%oB1kN$yCvVSJ>$Iq${4UCo;+HCd|xx}pFX
zVm_2F3sv4rgkGGbXhAG>5hX^DjkLCB5W0@kWQ*iXR2M8;-F^41mbOzkxOd;qMGvG7
zw4=R6Dtw^CZ+qpAmdd0-u%_z}7!#xl&hP%fSGH{Cj`Dw4ctGewN$4hZk}sbkIyUq)
z*+i^6>4#5BZ1SWsL;tkapJywQ8d#PZ1DhbNyb`*d6JSYR5)u}Fw%n3l&O!at(&EJ3
zc_yIv@HWfD%#-tk)W-&*n@8JcM$EQjdZ46;Oa}+ZFD-kgJhT|}^rIzCkn?whpq(m8
z#z^9y2>s%)eNl2SU4UvV$iI;_CPZf)K0S+0ySy~{xy#`5P)b9piO5+Z6-uOqE_O_d
z9pi|iqP$@+V(JXO03d8vbpDRQ6~~d-mX`+?jJj%~c;TCUt8Atp`iZo(ABA9QH$Ol5
zUrUIwBrlT=rX+t0p9cjotlw7gxKq}oK`3cTi2RL)J>)gy?jg+PZeyf<svyTEsurF8
zz8yH^;+^u=P@j#ac`(z+R~ONZR+Lm|Q>mmPoFt0L%j7?pAhlK)KeW=fNHGO@nfzxh
zMTiwpKW{Yi`{wp?OLrS@%EKT+Ns<~iDm5L1ZfKkc-?TIGsea6Rkn9QOqU?>#>TJuf
zyY@B;QIE)@7b*iUody3!s*Ev55S$h@XV_3MO43}>3fcpltuHp~e?vOalDpsxOOQ58
zcp3j&00;C#tPu<iFN)A(^)>@CS=DK3*TrlDj~nW4A>VqKMzV?GZa*&;in?=<N=7(G
zkiRi!<?e&WYey6Qvrw9v_YVz;q(Px^CBv)<H_@_aGFt33>WVTaTJa2XcxJpos?bRA
zLIr5K(VQF$BT8#{xL3ovCXPxpH`Yz|SZ4hcbBH@TQ+ZK1gfEe91myA+noaIdjr%uo
za^O`$UBZkK{1<J1L}~UBIwo{RnS=TgO&bLH`Bt-uNOdimpl%9^hTBQYD<9P92OIBA
z`dD)$SjC9@eREzJ*;XC-izu)vsT1o*^S?CWu*x)>VAxB|1EJ`MYxL_*AnbBTQv#hR
z)^)JoiNY>vu=M|F?!Ci$?Bn<0D^W&8X3~(IG_3X#g;1nHdq_!pYDbYYQC3TXwg&Yn
zZ7qrt?N3WnyQHo9otOK*zrW{re*Zkj^T%^M$L-*_ldJ3V9<Onp=j-*VsIVumInf>T
z?=+zQLpb(7aqscE_baY-48%op;1vVWx>Q|l?<K?#6Svp9?1UT#9T!;}_gy6;rW`X8
zOY^_^I2jGE<6E;}0t?{`8fs5-vSY)5zCpRrm@W7TlMx>4L*vh!KJm0}^4j;gXB2}5
z^glMI!i(P24868krt?P@k3%15@^Pf@3AYCk8k*W4e{&(D9YhJ)s~3n1f+X@Q3aGC5
zIWXXZ=#hLu5~b9+NzNZ2|2+<3Qfn5Tl1IMIZF-I?=2RRrweFTZSiq})DU4G~+LYzN
z)TKo61_-6dM+$}qh6ZS9lPyrNrw}WWU!3l6U$&-_B0}<0pIrC@66Wo_<7eApV-0YM
zm>(9VH;_^yzy#0D)uP_r2>y$}Nx$wH667Y=+{5bBzXOi`M;!1UI;MOwg-3dXoJayY
z(?yQV_)jW>`o%!9<1bJq%7WEdQwO~E1gh}M$&SxjHPH0C8bHKW3s#M6qKUYVtbgn}
zr!%iKCjyBSPDK|?hc7Ad<^bdNt6KqPWtMD5O&Sj}btZet><_n9B1gECEL9Gp0$?+y
zt*}^e>OhUW#a*iaP3a+**+EXU`O~$n@IJ&{r*S`^+a>XE#J5b;>4z;=KkjY|$W~N?
z{~<MBBu9byDr8HoeHUJACdmy_sbST5n_gA?3E4k~RP;cTi%^7r%zU2W=sZKVRL0yO
z4n@hiYou(DBnPY)>FMamR?xd6q)J92aSxl^mlwOqN*r=wK$hHV8^b3h8y1d8z7C~0
zziTYVR<mGyiyBEBkOKwCxjy6oB`b7<s6eTqc6#2InP&7iNAK_Bq#Xf4?+*%v1*j^i
zNrO$QvfDl?-fEkS^EZs<I;0qnL1P)@nH1Lap2Qnw3-PBEisH|)u|QOB*p#{!e1aln
zD_Q$XnO%5o;6%#v$b5<9=Z66YqrCMrDG@(5%wHE^o6j)9DcG?;5H{alhySEml@;0K
zODW-9+2IR`OH^x9xy$8Q?`-0K%okr!O}@g6Zi<0&dD`E^`AW3-PpZ7XPRWd<wz~?x
zFc5tr`EF|?Mo1aPn~9_fT2%B^*lK8Va)P6qC95pJ;+ITEGHVnvm0Po$TeNx0ce}K{
zI5s4uUT^H6Zm0O+N_7o;+m-6VL+bfXcId>;>7$genKZ0usaW@3K1Q%5T`y&?orKxg
zkS1&Sk)@B{GM|+eC{C&;*RvR0Zm!Q$aPT@@8eq%26>G&^zp<H%?4?^UewRPEL!9wA
zq_uxXT0vn!{gb_iqVdT%!Wo^g$*L~ZrDf8yERQWO7V>g5!fnCWq-Oi$bc^x<E00g2
z{<=N`Um)<NV1AH!$P%``jE0^qt*m2tAaaQtwAqm^8=+<wsr8KkfKV&otSMg>-aUd2
z@d!Dk3toZh>bGkb8EyR&Ob4deE}3RzE`G-kBL#zHOm9<Dfy<Zim&4j0lyrzSV7-)Y
zbL%nLf97OKq?E?rcmc&j)J*><J4aN%P@Fi-m%?i6+`s4K<-5w1mV3;g4P?h_Yf=qO
z&aTM1wL}(MV@%DTw3-D{@QDldZL2%ys8e&E`+b(VCbc8Kotj&-ey<Nrdbj*2arsOm
zbvigbC;hkQzq-a*l9n2_*~Y8BnVfcWA)v}~!PNOpvplsa!d0;4zg^#0VfffgA~lP`
z$uTt4ZP{47Y%$i}ZIC^)e7n$Is996+{yycHQ$F|4#U=!A3|0~`Q`BU#JMc=L-&{pR
z=jllm#kS1*FN34iy<VRlQhH?<cVU&RN@(_Lb1pB<rc;8slMA~GpC8Q?drSV8`(qJP
zcQ!OXugOE>={%$BQeq3+pCmaR5VF^Z_!$^*>xi3LLVAaXk-pjkvHmqWedfzaCM@@g
z5#L+R|Gq&;pE<J{EYVnRyk>WGW)vkSRPjw%zj#^wP+;OCU-|m{IGb9HMi!I)1WGEG
z%i(PUOzqwm&z@bggesyE{q&cp`ua(w@UK|0!m_)Z5e(s`{_5}&6meou!-2C^i-@Z1
zb6bD?vS#2AXSx1%JMs1Pg&lBwXTQD2w3YHKGpgmlx4o@-j+@|wg>Cx$+T4b0MfdF6
z7kwdA(75FtH=ky<2g17_?fK5}DoI;mw!G*VS*2rYJJA{g@^HQ*M~|kPw}}>ut-Xp$
z%?gMhcP23+xxEVmvBS#BYBd8xDY!XZ!O#hGDcvn3w9Tj{LKXoSnj$dfI&Gx}hJ~>a
zX^G!Yc+y!}oKep-x$EIUlvY$2K-8P<GIyjU%gi@8cr%-X(`E?O4rgR!;Bj=eW9{Kd
zM*ecN_w>HLx4U`G(2(oUA%<0}R;^}Yx>sv_ikfAXGB2&Kzf06%)DOjfn^7Ic_xbu!
zSkJovM^+#m@oF}eGd7NIbMvWJOi|D592;Bzw%HHG{JJOs!&)$)qJwOY*wV(EX<WPO
znvqd%-Rsf5a#-**$I0u2ba%P`Vb^)vm2`B`(a|eVeo}(<9L`FpHO>~jSr^Z2E6R>0
z!Ykf3f3BAx{-6c!Nqc)iYa1J8Hnz`YkDfjII8`z|LN)mM@`OO>myE7d4GJF=$oFYz
z={li-l|eTOmE6h{PU_U3#l>{Ps;#vyA8TqV@abRH8gJm_w3q>~D_R{c=8Y@}d%6Z&
zb~iGT^MS8#x*1i_v^AR<OIU&+>#nHX;FT1fC;Zhd<RvVH)M6jE4jlu_&i58sBOkJE
zL`u4jBaqi`&vUdlt4x(r>welIXr1-rK2JrlpC3cAR_<0eH@90b-xIji)L!4X7FmVx
z37dxS?y$F_HgOl)MD95qHEO-F?MbkkVb!!S8!PMD6jfgwJn#O~f(1Ak26%Ss+@+th
z1Ae$3`|XWHqEy{~-<{QZ)!;UnuqF3Vu(0Cnu2=IqDpup2C&DCMSuq`}6o+VN#Im*P
z|H<9BfxGb)3JDyw+NhKC46Mgi15y8Kd@TNQ925GAGlna8fBt+P(#3P?d{R;!Bi0o2
zwzb%D`;nFtao>NS_ei$m<m*^F4V*y`<76e}*8$r*p1IP!`;`$zNyjOKk3%f1-sW@I
zsG7~(@<LL5w06D|I#w_pV`V&Y<cRJuR@tG;!wMHq(=oB#2d~8p;;bxyT`U_P$LSa{
z-ZfYiF^ADkKoIFkM$|<d*S^Zkl*_(lAL<7%V1pc=vYVTG4X5jGW;OFmmzXzh+BAW<
zl7@h>=P_;1+m2g2HPlF7B7nXmw4(OIt6%=&`7IjGBo|Z5mxYUm>hv|nZSRjWv5S_D
zG@^&+*M!Ua&3DMk%GwV-s1MXm^_Gjdjbp-k%-92ovUE~?7rcG8(^O);)7`swn+n|v
ztIP%!IQb47=%jP76J@WCknnx<Xru8l*4c%H-A9gWME{d_3o8S4jP&&MW)V3g4;Fyd
zB|O5#9LOdf_I5g&nhY;9IN!6P*j0+yiPoh8l-`EGi=m<!79EmAh-Z_G4z;DgRgBoV
zcke2+Uh~5DVFfW<<~B~hrJZfhN9J5R_Fmr@*LCaHlOt{R_O4qf4&LCFJ3e^>7v{d7
zU(eu$1CgyhIttV?ZTEIt2YO;RKLA3ZAyAyW1`Bil<;$J9F3kn5xq~CSDAmED)gnnp
z9a`$@4Gwg+g;~XE5d({r%~n_9zMqJx-MMq8^zT2$J2=M+Cu4XjPN+>@R2Z(d{=l3W
zupIHAL&ao7C{jJ0=d9197r#>CvdSulv36OMY`wQ1d4O89cIuDpFX1;&TG;H5)Rd@k
ze2~=0slv4_B+=QTCz|r+a9#Cf3+<D$CVcZtTUPyG@t0#0wj|JX;dzyz07HqZ{GMa`
zuR|O;Ge91eJ-iOM0+h<$RBEBSdy=)5|Jet5dE$ih#fuw0l$5NhBBhf=Cz?$?stP$7
z-wx|Pj-Z$}KCI$nmZVpuZjMsia0iB7p3Sv`5Yb$PkN7#|WZw4kr*Uyp={&9b4y5m4
zC5szNQaPy!$6?|L!ni3dYFN-tNC>BxP%bETXt=KLHMj(VzDK)zhCXYwIpIKErCC%{
zPx5}lNFlS9mBgL7Dgg!|mX7#KyNi!BakG!M=kqw`W>JH3E&dc}Dk<$sFpYBQddmAm
z(WG?D?2ilcLTUTukuH<)1jn$;Z!fU3pRD&&l&5Crb|}q<@OV`R%1lhu1QtBHsbuqk
z*@D9$_<o0q%0!cVaPOC;xOa7R$~b=Acp=;QLu+;VeQuuAdDY-py{R>4Y5cCHa^fgw
ztfp-pUqMiu$@C7LFS4wiQ&#&Puc-)NFF~;60qyb+#8u^(`=-U0nwGX<W~_sr7$t7{
zUU>K5!P>J`?2;}`Db{9<y-$Zs&MT$ue}dyvYdF}DvW^gT`W@e6-Mb-C=<%mg*Tk!k
zuolmEc1P~iO1M02@ki`MRaI5WQf7(;)id49RDbbyA*0d4-tsIrQ_4C5mvx(#PV$Ae
zff9xi-I>ug!h<|8y{_FAMGX?}U2|}Ex$lkoj~(RYRoP3qtN-|I#8D9u5dl{J)$7)s
zyml?NZHU#MZq1rC#7?JS1NtG2cg9?fxh`*pcNFrAy>Ncm!S|-`G3$i$W3z($6Uw>S
z>P99U{dK07Pgh(#-u?KS;OINwI=9}nQIiHLACF5rDF}CcG4R_sk(-#vuHo}5uX#E6
zH)eS4;^A2bhjvm|_a&voDs=xFM%RZg`b88i`{zrjIq}MEQpPzy<F#D46zd0t3c`Gk
z(WkD@xN?Z}lLgC5&cjqnVD8DIe0)rwK7G3H>$^#F3`Ooms3l{6^5w~^TH~*AikyTr
z98wC0Um54cwd>b!3;!6VH3~%Uz<~ond3ht&Swp|7?2hl_Zo1u;k#VHf5W+q>LfCyN
z@8=Pi%u<Zl4TN`wIobRrROmGPEe!O!xX8+h87&ww6lemr6d`^5%&0$HBDRR<;K3Ca
z9s7fL>?)W1^EbVNrH2bWZESpC?Yea%gU$$+T6eVKp_Wr60t}QwY+W0P>jWUi5pLzz
zU?}NC6FB=RDD2gbCuMux&rA?=&5n=1pY#|m)skBC=~FQ*Y<BCGh2P%<>D<~PC7icP
z8-^neu{w;FfwV++>Rsepfy6<Z1<bD9IP6{h>wd>mnoa<W!ghn3)v=dJZn0V1gt@ve
zbdC4>s?b@}YPjhz=J*ikx_1J5l5>NRT;ecs$BmaRU21J~>9IEKn00Ng^*&{qo3;X#
zu1IB9XRV{YwjQjhpAFg9FKisjj}A^J<mBiSBE;8t78mudb1qPNs}<YhdnG)_Im|}c
z$mCr@utB`CNw1&S$gWHs5izE9=@L>8Mue9CJbV1u6Wr990*;Hmbz$SS?!T}7dDD;|
zH?85{<Z~o;T1rP%RrMYU{B}x8M(i+k+z{_-_S3gcye8qS&(L~{{^*T%%RBp`-`Y>u
zM<m)Y{;0}1Lz^dgM~_AGz3rM@hp}>mJvmI9wrsf@A>q7>i>r9xcF^KlO5I3$RffZ4
z`fPYd?MUCSb#HHPYxv^;x+`UshW#51aWiiUhDLoKxK^?9ilWv|FWw5{V_k@U;;+7a
zT|WdeW)`><%^!=47gsMQ1kKIOk>L^oSLPi%eBsa6R&!VC(~qrPyY_3$>Gebi{mW$x
zA8A!v>ow>ZxHw3=e3@IsPF-6&08OYz*F3^GzLI0T*Q6oY=fek?T*2NkevJwk6hPMH
zFepU6wgtu2UTjzpKqGtH!YTr?HncQ4#B%S4<n6a9oCOFo@AzIa4_#YkdM=qWV^K<6
zoQ?eOfD?1(xepvD!iP^Ys^P#4x8)+hZTr+Ecc63w0BXES_=JIOAhYRGhGzyt$^Ge*
zMvm7OybvVZ!63Tbf`U(mB9#U!E`|Qu?l1QT5gAeRW#UjQO6q43W21@YK|fBZ_QB(x
z#UAK*NsCM_x@wZ8@`f|jMUN`$H{#7`XlSSz-jcO$x!RF?s^8>~b>$QJYO9NfbUZ5O
z^(ODSdc1rwvTLtS>EP$K?ywlq%LhApI8MG&;vqx41k!6ZZ7saeJQ>sEMvdTvP2-t!
zl4i_WtYudGeL5%jK}Y@jnYwfpoR)>2-%>hRrp-r!LqfRr?k%H69grV^>5gr1RA7|X
zcAu5uJ9ueky*i)#jcpcv2`?HqkhZ00$Pn8nY}rYmOOnQ@%rBhq(=`ziwa8vDSmLDh
z)w5^Mo{^Wg&i;&UWQPsP8TRbi(+P}io8~=ttHGbqj|$nu1b+N%a7eelu<vpG`#-&h
zwyv`k4L^5Sq$HIJ;iW#bTCI(;=B?Sc!3tQ@KFjj#l<sZ486)Q}BO|i{QzoKnjS<dS
zArgU<j0K_J2NVmkNnU-<`&5c0JTfwHc-ZuqMSJVu8_iDlsp1Nzy2<r^)<d=^^~$#C
zXL|Jban5b2X}c_jrKQ0sCsJIg3YqT0SnE=Yd53<wF3JpB1@-mylR2#Sz0=8B*sm((
z^5e%3*v=AcvLPkG?6b`5;a^V;3O_h5Oq-D}0T^~8P!lnt2-=Quz?lZ<{@e8K#-^^W
zE+ho}S8#xG!(q-|k|ydXmE{ToZ*T3?3K-dkK|vmv_N8-Y@!}yjYJsM@`h%s#1={$}
z6fh&7s;y3&RnDWHpCBeCCR*DX_1|db?7HP$m+w4dIoc}Hn(wUEF!4yyoH{vq*KC`H
zY51V6C`u+bz#s`bjIu@C>RO|j@1*ih>xvR-gL;EU{18P^T?U%p?$>skGxYNE>cr1O
zbSVXZ;sfJSQZt{@q-=b(rbPAGgrj>WFH|2^KKRN;&d2^?OKKRq_nav;SVF30l+rY3
zg{Dgos3yb?(Y#tSb($+;G_d_Xj+oj)Q{wgEQVFGn$keLp>T=vC0qdSKPg5VdJb%%6
zui%XTWY~+~?4|J#O<T$+=R3{d?|khaFJ~f?7TI>gqtO@c;O@J3$A}Qx%b4LQtFIs3
zSrQfeL9#4xBv@va-e5Yqz1bR&Hs8~mJ2ttC*nj;N@+|h-(A3AOsuB#kNM7RDyx9vQ
zdUo^jUa$;ci%L~xVW6`etXqRsLDSWh$c?QQ=k0291JL@2Akx#*XHnf}HPUh%+#u_~
zz<{vr&kf(ceOoyM1GK|EV0(_8)1O%@q~H3e9i9bO2x~?J^LiE*>OT&CyHM33St2kC
zcQOHoZB5<a`$^T4jxi0Xp}Aw!e7fsV6x^JG;8M;$wDJq%lC>$rR^L^?^NZ0T<^$t6
z2`nPDz;*4GEY^Hy{7`q!l)<#^tzx9n&}Tt9RRqwMU8QUI_|n~s1z1*gQ%0)(6yS)9
z`*BFHA|lBcJYBgzeTR_w%8Mc*`MXJ<jOy)+fYMP!x(z*e?;x%4liLmJ?hS$F=I76!
zlO7p&DcrpANo!Vrzb{LcUE&*=|Fi%K%{i}{1R2+?IbmXwXq=nY<MN1C$ZfCGUWZ=N
zgMkbdrI;fiQ7Iq>vwZ7Zm=lkx1==VLo=<SG>18>1_nSz}soakPY5@TyhoS@xYXY+t
zc<tSW>k>A-ICf*#fRprD{l!c7_b<dK%U6t<v?aNksvNcN5*1mjdHVePKAbArhYuhA
zY)A>Elw1mHAy3S}zbEFErfuB+J~4`#CugnsB!xS!#^0IsJV573gZlW(uHP)DzcWwY
z7?qJfcP^)+S%iz7x4*x?!gWh~h_#tP*VC$ffvwMoGZB<z;AR-Jy9ZKp(y9oskW*3h
zFafz$S8So)Jpnka)u=~t_2MqC!ZD<BP)?SBQQ5%G?vFamZbSrkU|<TGdkbkED#iT~
zt5T<!`&)IFBX6-B%FvP6U~)N2JnN8@lvL7UuLWuz=5Vlr>IF;ntxqMpc@1`>s5+$W
z^=OYAo}AMGC&ZU+fozSA_=7Xns&yi(iKU5t1CoR!QADMw&fyCCSqjahZ1+-j@7|rF
z;HETqT0Rt+?iNQ!$FD<EO#2)7d3Z{&`2+#=>xuK{830kFwAi6D^8x$?5E3@?%YMOG
z+p4xD7*0-}P1Z7{Du0^o?F-#lis`>|yS%<^BXEm0wcX48$IqPi?`D&tqt2Qp*fE62
zq>$-Z&u^a76?!j!eYt%x^gXhIRQljuTXT8ph6DBM9(07fpXp1l|Gs!nSt(=Lk&5W=
zlCrWF2u_t|*A3ldb`aa+Sp8TN*+J&t&5Zr``YURYoB54BPy08VWem2aDc6BN%e?IY
zQVc>Gp9QA7Hc^G=>ZYJ`jvrZv(DLDDJ(~M0cqdQLyP3D=af`;W<Z5E*A@kO)`y3sq
zy{7*p4c0yvEQ;H=pn1u;W<x=fy49FsUN%Cd$UbFG6!MqzEQDSdLS)GR4hd3pw9>=Q
zbv)fddUmo<B<b=!z3d!)20B_2*|TwoNE^zaRg#(d@?;w`^KBf07^urt7pf#zkK=Vn
zE4p#x#^kJG{*$JKrA-Yr;395P{1oCIW0!yHEj7w>IQB3XyLNZjscLIiw@p=7WF2?j
zcz~au5_(QOew4ke#$ubAb*Rq0)+x5;9Gm?fl_I?C`P@seE0|{WqjWSTg@mSXTu3Ke
z9>C7CaB4Jp1Q~f<hS}uVcyd1zW@#EHzi7#jW}f*&%~RA6CN%IV{gO?to;5sx9B+5W
zY%JT!@JoNAhMYzDVd2jOA~>sRHWw<VJT|hGjULQg*d6&|B3EgqT{6olu_H*{<hPWC
zsM{Z5Lbvojvwdp1(Dt@`=cmq6*}BCmMvGq-RBs}$X~JX}<xKw4c-h~b4b}{%@<mi%
zRz!wv&8OP-wt*G^B?!3{v~&#8z{pTL<be)<G(aB9fCYLX7u17>;A3T_%+;&UzyE5Y
zj}uwYOJAmh`yN9YRJ2_1V&AmKVf!3(c%VbO$5u_z>L(Q5Mtd!{oHymMD}foYi-9!+
z+OXew5xoLdc$B2>xL?0xdDJ`#i6N(WY#q1rxR~RwJ;Y13RBcrY_1U2e`d!rd>s1E*
z7s#34$<q`$f7Vu-Oi(LOnrF1_*lo1XySmV=$FlCV^}IkX|FAU;4NW{SL66GY;!)Vj
zFZ*ocVE<JkwJQ^xPftuzWe>TfFJ7y<UKM0>-m=tG&;Xz((fK<`epr_hvq^H{MbhGj
zOH{F{Z6bz~ROP>W<}-VBv?o-|>z_*)$?x%gr0WpEyz?pDVc+KVmDX$OC4?MB#@On%
z*PiWq2OEG`YGy)G&c0r!BCTqDhmigAyI;Efc~h592~3IjDHQuieX(ZS>ilgz9pbtR
zOKAtkOEaVRmAb_H&8k~U)NC&Kyicvn`6-`!>xiO+>wl?$Oib-d;J@g>D_pQNf0MMt
zK0ZFeST6{Z0t#FgNMcIZs>|yqZ#yErrVK;h?~#b)0dedwM-GWzhIDFjH*RnXIT#}k
zq#?F%-)>Ls;%_W)bp}qgXaD|l>g`#YOYb3fOFP(D|15aCV|i(tTnsZjbB2^`uG^xh
zL+zOHH>)To1D1QCZ{uM&?5DVt>8h@V?}PgVSV>+oiZ<W_Sp)q@wlAp`ZW3=Ne;vQ^
z&5POr7+e=tw)HmPpB8)iE7Yak^o4G0u9-UbV+2FKdt<b<V{UJg<26(Q9Llz!U(d0U
zI3+7<Wf45LKsr<s{mH!9NVhY8wApNRS<RR?BkM6smcp-sEffn26*)}V-ILn?5pf{i
z_cnq(Q5R7W!n_~`vEBU$>1J;$Svk4)zdxm3p}rmII-t`N{AF|qa3fa}UzXXR`JY1$
zzrL^s1bCVjq|q*BHM!`;Enj-871rx}F+6?SBYDpLx{pFpO<EH7GU_U~J5Xg!3axF~
z+VO!ANRA^$#g_Br?3;2bVpr04xQi|Cd_Jp{;B3L6AyI2_W^d+vB<0oX*AEJ|T`Lqc
z6JW_Moa<uu)EBoh`<c`#QsWr<c4)m$jjY;GL1KS&(nwc=_*BDjuhhO>jN|h=fx==K
z1nSpluxZbZ-Prg-$RYr^Y~J$H0;<>6w;n9SJq2vrM6uxf_WgT~_Y=rB)*<bZla*Zs
zvnQZiMCA4&%=Uyw(u2!swKo0rt14W?W*>>}Bh!;V_*84Av)D5}KECK*`1_1{qu?~Q
z?PFpfm0}SS8@rOB#6yn-q$WMAYXxpHJhOn_hn2as3P4?<7`h9IR#J{dRb^$+^XERu
zF$e;EI=M$rm?R_e(S^DJ>_kR=!5EdY9z1gy95!0?tXjEpr7n)7{nTd)ay!fw2w5n6
zE2>2?XJ=v)_5h|Nz~JfSwGyN&r=~{p^h5kpt6ntN<RF~|XrYVPaDW%1Nqyhr6#J)z
zBqZ4Bnb@SizrKJMOmkm$^IrUHUuZhyZFuB)P-v(xP!Y~;e45e-lRArv!S|&*jA=KU
zRd!gYS$9Jzakp5v2qOsY0OP`4j!_5~6?lH0^mt%UX$Z1iYRX`!R5lv1`XUi(sdt6F
z{PpWsHcQiccl>3#>w^6o&R^YQwK4P<;K20q7nd6h-c~<%_y+WxTLnIY3~0@Fpn1b)
zKJ7f?`loo`0|{<n5)6Itc>Kgmi;e=Or?dw-r9Zh%*#Vsfq$55vV1M=McDFwhr$Kou
zSv%^RQkRe)Xae7rJ+yw#%*5Fx?Moce7uxu|Y(wf@v&%-*D{rs+$Ifb*?GR}dVUh$F
zzIx4?Vg#CAxJuTOS6ce2?lbRJws`8gFs+A<mzsH5bNU*BQbxTT{j-NrP_$mtMaHhr
zq#(zc0m9I*ONk@`{9svtp=e3?4|-4DFAzy<8-p9uLwE=4v(mxsT4cE?^>uS|vwgpY
z!zZ7%Ct+;%{j(OKzDPi(S@wj8Rj8g`81ZTHu^IhcnCO>J_a>1xGUC19Z`n5y{o=*p
zpz(ryP3rPf`=iB1x_rc^`pA0_eJ?${^WkhVP<1v*7Z!xphz?^l48uk3*5aIRb>Rid
zPBH+%cJ}heUCSALlLS&JRcw5d%kQ7Hs)_>dt{k$TMEcJ__xZ)~bK{ra0ipom@lo&d
z;lqcY37WlV<DEk||0v{V)|4i&n!l-@czn)e2wk{>kqVuL&W#&44jeiZTrY=za0?AZ
zCjjKHh&QG8m)p&XMpi48E?-WWU%xZO4KYbyb+|9CR&%~RvSBo>yI?DkE@+rg?@goI
zS#+CJ`UX9Dau2tfG~{Y;G=KD6`(}LXt4ZdgmgD#&P%v?zISJz@s>5+NH=QTW=hIXW
ztD*993z25kEw^&jDv>rfJv}bDKo0-t=v}pj==^;(Ha50NYv;t|s<dk7r3qjMtKf;5
zhE5INiE>|Ff`Es&@wHOGdKs_5K!2Th#g9H6m#7~TVnBOXE<5xKuU2;J6#?L2E=t!>
zbep!8Vxbe~s*+;QjJ!B3#3t;qhS8gz(A<iPiv6Fnt-3dZx~g+4+i%OZwR>>R3fc<c
zTjMY5Cn9U=#e;W<6@HPZ<)k4mb~NVQgS0Alb3SPQD!WC>HC${l^`OCw*q%KrLDbLK
z3-ej^w|u3xe%Y^9Z4=R1J#|{;lkBUZ_RBdx{ckczFN#l1ANS(#i?(Q^D6%E0rm(_?
zR9?8;8G!X8)51_eGnwnx_nCJT_{YZ|upMe()Ov6GW22U_2;d*Mf?dat*N=YLk^2Wp
zeUA54+0&=b9TYlva4if{Ns0z#9BqC+2KX3?J!M=TQ|il1P)p??1KJ!LquOgsjErTF
zVm*XGOHMwdnRkmBKoCif0f)Q|BrOJ1?;ZNY@o`JY6&TQcY+V4G$Q|7G=y&fngY7}=
ze}J327@)w)87<?&Qux|q=B>|?zDK&vuYu~=>I&0>`#rtn!RK0PN%bF01#LWoAdz`i
zzXVeq!sDCotoj*b&Z>?L|8TBfv#kt}?UK!km=_aILYXFDH>f<^luiq|uh?iuVc_cv
zq0z|AnW(|N3g&R3QRwv!WSopj`E&~W(7G)eDp^bbpa&oAt(9x<V@|!wS#Nyo{(}cH
zN=h5I`CgPt#v(s>@F1JU#b^SJvsZ)V0xR9q*SmG7N@?iy=i9XOgtA+>N@XYC#pf1y
zi4Vn|^rRUL6LSEq#tic!XKH!~-CGN}L`BtYUDHJ~B_x{~eBQcPZBD(ITbHP^4zU`E
z`hWvjhcrxCS-B}QVdF%V*^UHiP)4LufTwhCXFpzX0`eri<)y_tb1Rx=R5Dv$#mBGS
zyLWHK{M%L}K=(M^W^apK$Dq3dPb@|`PSVu$`F$hNSsyEVwyjl}X=wr=L1NO<E~;{j
z=RESZHt2sGS~AM99DYgcuh1akf!5j4X+@p=lx5~I>lyMKe%kL)V`FluYo2y|MDut3
z`==kiH?nvbP1fxI*4D)NlSx}<HJ8_he}7AeHvT`p;PLdoza_sf@c?V*-v9Z2F0Y`2
z59n^K`QK0AihU4G^M8Nl|96iFAu(pBd=C5~2e{L|<?V8;2;}T<nZfFthx8_=-m=#4
z+R*Vkt!EVCmY0n~7(IW+!duCZ9Y+KI3W2CDOF8w&2APj1egA$k@nCs*`D~%o;Tkjn
z-J4S7-d(lSTHs1G7rCdWd*nHO1v7OdQFn#Rx*Fr`CYt+p6pR+!wr@}q&q;y0;SH0G
zwRLMtgJ&W(8{8c^JgfHIjmrRw0E_M9;-az0pV~?yovpbJHB>#xx<nbNCp)@JEETv9
z9V!LVgdZ`EX2VWmZ1q#4ZD`EMG1>Q}d+BwlV=|l_2^m5V<7Y<A;@-lCop^3ct~Xxa
zb+U5F1sdK*4I24QnQiZTew1bvHk(e{A5eMp$n(?s7tS-IKR~IS0wV%JxJt5m=2|#A
zT(E41F%D3X_n>QwK?Z|&phFX-6*09xN76XuRiZf6?y^XjAqazXft(D1RJd=%QrT{K
z$<?&w-5TKJ?kHwS(Z1XzE(oriC<42#mwu)7LC6M~`#1mOu@iXDE;B$WfTK>TtFz*w
z(@9B9e2-~1?HhH|YuvPH`}To!p>GkbTN7I1b><7ukE|2YOF1j6^w{1n*N-AoV0!$?
z3+<_s*w`Ie#DC^!XlnWaJzq_baUB2Ym;%^1LK;(xNi$PcH3nP=^r_X<pbBYWNL0Lw
zx)X1~(pG$KHCIm**{Ax0u0Ro31?&*h(?#H+*{R3Ag}Hidc-00r2hgahXRbj-Kp7C^
ziy*mu%T~ZBgD>dm>+3>qHyLDL`7DRIRB9kv)J?xaN>fgqKJAQsGiyqtAp~rHUNp|E
zTu)=1sg9xL?1TU&YSGV^(8#QwP&rog_bt?tRC(e12m)HIG0SEWlqf>Jvw@j8%E{C#
z$eU#TA^8!imjP4(l=cn|<!<n9h*><r?90WRfVO_u?%ia|<!&&I<p_ws;<WLP(Qp-{
zMn~TXwQ&G7r5zyW3Um;eipbvxEzv9vls4f3VN7SEj=PGP81A@NEy0g{TG0uZh@LQQ
zd%p#?^G?;~ZQHtm6wncvk@ES*^Xdp03>~o=okBnQ6~r6u{0AgUAu7sx;=~E^Yyy!y
zWngWjK}wSfm!|lSp_w8V7uV0G^xbGCpey9Ajfk7f(V==_#fd;fLgJ*Cl$5#zUPC}(
zMYR>A=s?T!+exC4sXai8TRtnDH*@|$5FmIg)k{c+1XviziY&w-eZPNb>r>xbb<^S7
zky}(Rra+xwzn&lbS%z-THh%3=gzBUY3iq!LGI%7IvuGH4QCYc1U|*DA&aH`E`xGPm
zfV1pAa9}k=HLFSlFi++laCB1Lln_B)gnaG5pr8${h3-1vL|p)Mk`BqEGF8dQ&@c)-
z%%cXg+UQku>p6xkx2p|ZNO2?ab|`6nk9BY&)svQ%CU))GHI5p4Qf$<kRSHQ!vId0-
zo|Wv@c@KF)X=y2mfe2go+%K^UY1*$gpI*0Ap@zT-kkW31LvZ*fZ`~5UbLS2T6k=YH
zen)|8w8Q!LFK$`~Y?AMfQK~p|7;?L#l~ov+0M{6@B{Z&D0wgrPZx-zjeBkH7rqH(K
zI#ht>%$d9ahlxd7g5Fg0&=5?DSFN#^YLcvs%$?Yg++E<W0AUjzun9?7>~I*nSnyj9
zm$IhjXF`_{zzw~|a!-$3b3zxwZSL%9_-7X4JfO1e_w=6OD8KQ$b7w_vFG_rK8WkhN
zZ_La?^OD`juT${Zl$zzgP&lFp8N?*`%=@E(t!61&xvI7r*r4-B{lL)L{OUQo4@EbY
zIq-yiNZO(gyH1pCYt1lq)CVT|h0rCfSmb@JwQigc+`Q{NBA=N~nXg1+foFJYU-Kk{
zv7gcJlFwPAF;!<9@8jj8uoX$az#1PlZx!|)f_puRyfpf7^C)L%<DW>9#M5ILk_?NC
z<X7KUB5>Z(QKYe>JdktD^6KH#ykBc6`GBcgULEnu*07MDmTJJUd5-)o&b4#2E%(ll
zMce!Ofq8I=eznHRW|5i$71r~dB?6xp7iRXF#o%zAzjW#0uER(CCc9Ub9Ec2*pW-!Y
z$J}r_g0z2@A{OD!m6esx&~o;ytp@DRd4L|@5zEmLlPJ_H(Q`zWXhaAg!^>#9sZ?!X
zjeNkDrU+1Oxv5~T76)$cz&|d&XE_wfHlYiJ&Yje^lT|)#DnA3zgrP~I`9+QKv1rgh
z$d@ghHOPDz5womL2Y^A;8<N_ScV^VB2o>*CZP~ner-(@N$gQ6E%5<Lk@`zy`Qf`Ab
zju&bheSLkIIXMII{S?Yx(#z%0@Af(T{5(1J4oLftcX?>Av8H{hvfaNi*TKTPpb|e{
z_z+y8mZtlT<0ir1&DNROpxT%?*#FkHuH2gYs)hXTLQI=^iR`#ld9yWidTX(m3XL7_
z?RehX4(K~Lyy8{t+Z_3JX@3Q%z*=aX0;^pUZ6%!&*#*s8R}&c=EBg{`*28EbMkL9z
zT0>;p0X;p}YR#I|vrM-Wy3i9ndg5?8*M5W`z&U^X@<qkf8P@Msp2Uaqh>dP}er3-?
zkk;B^ZEc<WM9O*k(2P3Ll@fu<_TqKQ?Tk4{VqT}E1*Km(<oD^CzCxIAF&P$XT!+QG
zv#{Gi1H9g6Xak=Cc|Wq%_bxXtuOW0cEGep0ZQLP2K}Ccvj!gw*n2!&Kejy)$SFEl>
z_YfZP7H;-C>o0aoVoUC3>#<I|IRE@+HAoBJTKCGEYe2<f1U$L2w7gusEx)faOCeJ7
zOFo*o-Z)+V<=XY@>Sf0vQQRjb6?v12`zavd^t)5LacJs1-01hkbxcgxQD1cq37(iA
z%EC0<kX|wnuTdbwG<JrR8PR$Se2wxfS=?YV*>{2Ob!q9Tr<EI`PvvtrFGDw^tAfJW
z{Ab8nkAQy16Z8%qJopS(9CAB}^M!7U!=s%T5wezIjsOD{f~@47#pmk^pa-zlJ!-zP
z$h0Y~n2%}i%vlAgC)8zx{53%Dj$)7vqs`ne!#5G&Z7(Y+eL$Z43~xfK)()9`r@bFT
zx41)n<!OhO6AzI3z6rw(7u9Uo(GL!A+Oi6_ScBaes+{LI)rS$$salD=_k0@3FXM2F
z$CaMHutWI0O(-IfU;jo*XYr>V%WIuNHwNA1Ekme@7a*SD0^7J>w)Rj<Z9Ga^3%@B?
z$yRF&&)J|USDkgo)AKpNf;CUj&|+hfPyjY}t0teASg6Kz(6V=`;tv-MB{aPX5-S=~
z*x{U%O6a1_La5jp=J+{eiq=)g>&{MRE&Z8PjHBf^wB*r-udaNGL-ZLMPqwVoktMBc
z%i<sQHQ{0vyv{$raupkbeL~Mwt1A)D&_C0kryDXts{{rv`MS_Yi>bg_T8~Wj*F4Ra
zB3q}>Dl=u{3ZJ$WfdUnIq(4p3u^Zn?NA3Pw>{!HZ=Mk~6GfjW;d8ilG|Auw$r@7b}
ztHC<%xc=2qP2zT=delqF?b}~x<YQRVfg2tUAgvfKirn?y@QVHxpaL~W6Z8A+9dTP?
zW4Kw#L?YrZR0dWvJN34zva&9ER}&r(@Tz2?53s2?=6T&ot;bjbM60WaFkvg1hh_*W
z))X{AlrcI3JoN{PGd5}RA$~x`2R#8PXv@g6*u=qfo?6n}U{v`Jju!@1Xe|UZv}b7<
zwJh2B5{HqfA(~x9*#7)_;x|t<BvT0q39aweA~j7YvBnu1M>l0*&DX%4?*|6b6W}b>
zEVpNIkOB`xx}t{^8J43=VUTPS7&J`kLd6!xfSSyru!JB`e6gq9bw+DI%(F6e!5uD#
z@E{{iAQI74CYkCac1d_3)c0P$^7l1`iL(RlN(k{t-jql)s9>U0*~q21{5~bt)8B7X
zi2f;Ov}-n@7uU=v*U_V!h_8_Oy)$iAN@IgMbPJE_nFpa-)wRlE^3bYuwS>MlMwD9f
zZ&DS9fM_)%qb$&~nPUr{^y{OOlNk^+At+EY%mq?vGb<`q6kDnphvUWU>c33aQ2RLN
zI4dJke43(p#<wkr*2D0M`xhR(71@C%=G>z*I_``0BO^XJ_9Lt_3#j`YvAhb&5Th{i
zCkv+jqa$s(l-Lo)P(en5<eJIUXD}0ZqIu^Gy772`by9wv0u|fn48WVGm1(c!@^ii~
z&rX0O*~;o)u6H$y1QfGL_z;Q|gf^r5ckU#RF#}G(FICSGKvf%g8y}05?ay4MDT2By
z9f}c{B3iViI0e-sCDJKBB9yZMZYnQNvsTzFAtW%u*c&*kWg-2lRcFc7<Z#P}L^g@3
z`$lW_Vcbo2zRQS}{-yv*N{>nmLrR(SalhLPsC#f)Y4h;g{ViB;@TfEd%r8AbGV3(T
zOlPu1Z*?;)+&gm~fizJBH=3UUU9C?+dAlPm0aMOYrAHsD>9{i}>A$6vhtFa!cvEk}
zyk*O(zmhd7brWeZM`vI%#Iz#VSFi9uno!#dJt5DH1#D9{-DSvbjiy>~$Z~Q|-sO0<
zR|WWAHi*s3%KlC^am&a!JQpPP?JK__o;6GBjFbvT98S1Z5itmih~D4SGx-;__GR3D
zn+J*}%YcqpO;EK1NBCDgk4P55L-yjkHnqo}VvWPH>MBoLWO{Cn5S|&A@`8re_6n1G
z+7*TcE<1dHy)(xV&Z%r;9N&mP1)Ic-vMf3RknQL#Opg!;3*Wrin&Xh+sIL*>cXm)Z
ziNBmLMCtIHy3Rz|`@Z$r!n>wucc6s_8lW)~0`NIWOQO)_5Jd<jNU8txhfC|1`HFC0
z6WzAG-oQQ8r{Ek~+4hMb*7ct~bwc?lL$|7k3FEM1()x1)?kGk3@%lx4Vr*Z`{+8QP
zi#{>M*EPu3o;>Me=DIZ3Pk3OqPE~!7rV`SyqWP0Nc;&&EzqmuGT)xv(wpajgwY7wC
zL-KZ3LDQdK(h}L0LKTf@vysiJh_Q9u0q`#3(x#u@iE1_CrHR}4*n?clA9ud@&N&oS
z&ar0gw#b{HLrAa6iOK`%UbUd+oHGCt##HCjQ??@OUUg9<2#C1?rIOYqrhRsHGO4ep
z=c9HZELiK<!ps=`<+&o`vr<Z<$EJ?M=Z9*LZBEH_3y3*V8<Yhgef%)efy7sQ>(kUJ
z9+6qsGXva0t!1fdMitt`EaXhGIz0UR{qv{bP21KhM3cfamyVYwXamhiNaml7x&u~Y
zB>^n=-MrMp0Qb1yk-S$f5Fkp<$b~9rga;HgVDLlvV)Zg>77v^2>Y`<*3F!a((!!vz
zB=zLP2DHMN8$Dq(SeH=p#o&_y^+P*XW9->YwcfR#$TE`A8Ngv;E&|Us7hJT^pMdJ;
z;xxN&pwyD^4EmhC*SF$6`{{-blAgQ3vxy>j_`|oxbx+C3?E)mKp3*RQ@|gV_6~)q@
zHy7oZ+&Ha!PtqNq;GEBLTXgcSijZ<||1oiUaYLo9K=v{A2T8Lw>nh6198Gg^KmR)C
z)y%&!6HI+Eayi&^7vu84IAR0;&La#ZR~Sv0J2Ldk)}k_FU4bfi6L92K%MQ~Xd$|61
zuM~0W)FLI-MW|k|*CSJ-DurhPw-*i;ep3v<9EG*S&fU9dA!vAZ{N`4VWeKk@TCkyi
zqd;XzhC~u{<YX#$==;1q_XL+tf{-e5Hd4t1wa`V<rzB6IiYzBL>?yCtJ)G);95Fnx
z(*`-SHUk-xHEVNFxgung$FkSpcc$B3QgI3y49yjH>E3nFmjwj{5yUJK^uNkYKBM$2
zVUn%pNRx<zaZi5ryqt$cE?ZneR_gSBU5L$WY^GCF?MOT=yp?+aEZEqb2SB?KET=U5
zfk$O=F*4#jq?N5ZE_H>1%nOQ$sBYuEE*MJsbTWuX*hPDB&dbqg{i=;0A|33}E0SsK
zcLcbz8Bz`V@X3?%HoY1F20pF#UXbGN<mF|Q?#;`A%;*vO<K6Jty#-xunK#t{0h~;2
zjDZJx5S&_T9Q5!ZO}_SeLKxINW(8h4|NO`*%xj9P4~v4`!Xh_ine8C8@;I!knXb&q
z<WHn~b`b(Dvz81j0tCKwztFQ!0t~2KnSfYD548>U4%~=JpDyIX0+G5(#NL)bmqy1>
z0D*u3dGTsU=(=skziU~~r?Ua(>2l)~za_xLA^vfS=APcgix)jmy|W7jbilJdIH0z1
zK7?)9n*o8$xb>dt*(p|}DiCMehybXu#5R*qJ92=HyeO>F1)4&Tn(>4kY5pK5iI9;m
z%R#tw_vimPlw679lanQ=B<3VSEQE301L4>HDUpZ)rQd|q2{ovmi0GU|)OTG2-~{nS
z1$0<<uzTe9&CNw28ERGYK!pW@=n<tkI?vmoExOns$i7J=2bCIt95AmV$8gi8O|^&-
zMwe0Pegd^qpaNgQ*=*l_!;XFkxaK8PDL(Dm7*lV8sU6Bh=ja=BeO!<N7kMBHgTPm_
zNx88hMvyifB~d3l;3RGa3NF-6Gcz-vQBWvHs4H7FdDp2MbxRNHJ%%8ssZG9m6lo;i
zYu4i?FJbRmcW%+Sc5RQ)aXKRQ^=m9E9oes{jr<@;7s!eevR(=~Lqe96N1oduynO#?
z-Jt^qr16n*B+2*X;0VAKjY6>$_H@eFub?5dN4L8GZc6CD2oHHYu;bwPPdgNO(6pwj
z#eI(gFW;2!EJT)b2%5DJY3}#66cm_*4t#EBK15aqXD@XQpJrINJpwngSE}?8cIe1|
zJG5QOO?*a0n+x9dBn%a*9X5?^$4LUUC99JPQh)?F0SM&e`6K9RTKsbDNb$8JRyrfs
zU6HW1o{TH~X)8*iGLVs2itHn6dW@%*nRm+_DDcNe{((h$G<K`bB$EX{2!XIfaieQg
z`>c|Z60RK+eBsju@<75N7#^>oP(C5|M+3%=AAhQ`awNZq0be446{KBEgxbc&GkEyq
zM%TM?F~#^lb_K`pd5$(XIG&*;E%u#Z;gh86%8+u=U+{d($wjf~=;Mg*H(k31p0DyB
z&*v3ij;I)SvJ6h;Yl?;t5U!Q<^q3gTF$-*S93G{lrUnS}MrMS^I7`J7-4%y%2gyda
zD0MQfPuwE8G;07QXZ;BM0H#pTVJK(?3Qfqv;O*%KZ5nt(VI;uhUeC_n!UB;$0Hh4Y
zsc=CX<%0onWhu|t5-{@)`T2^Mzmf+2&?|6r!xzA*0}-Slxpg3RQ8)_YGc!0Qr$Mfu
zQ0`7@!Teg>Y?M<4{8T;yXOo2$t{Bk(LX4xs1mOSxE8CHlEdakuP{)xY_T0>F;M*$X
zW))bm!^U5Ck|K+R&D*#805DmDw~|#=-HKc^Wq#=+Rv$#;kJ*XtGm46*Ve3$a#{d`)
zhd>`%4sd{UF9gj7Ls(qXb<X}kKTQc?J6K2UfO2ibf%d~qw^4q`jL<>`%r`UU`^3iX
zL6?hd<VJ$0&EdYvDr9b&xdc)HY|@6Vvxvr45J=*68p2E9%z~rzdL#>;{H0QYyp>_E
z;RsNxMiNcXjDDhWG0R*-`rO5lWj{T96`#aWWS3*c+qXHl7h!jQpljv|qNlePBdk{t
z7q48ok9&D*4+rpPblzluT)HXG@vZ*kqfIia9|ny6OVON)hK?U0>~3LU7VsP6_QGBp
zwvm`$cSRt*?qX*_;!E5{GFzNkhS=%eLb$7?CKxbr!R&PesXK6UlO*E;MnODw;?RH0
zPpJ>Wf76bF@CB0@@OcAVGG5Ahrc9|<(pTVIPTLEIkv<n19z@hqP*E2PFreraIAc2M
zzW`Nqfej!$I3%2Q9y;WwF$47)Es=+TU>yFAU8O#R2l6ei0AE1!dymP|BB#U=-$lyo
z(e~rx=vc&``J-H?*g;E{1JohUFZ$8!Z)c(>#z!a}(YPfFPrnb?&H|!V4yD&5T{+NE
zrZZ>GNaHvhWA#_-25sfNMWX)ilf5=<2g)Vynd>D^K$CSB(W;{uLo*pj1CDia#Ry=i
za@M~$^4lPj7x*_B!~2wym3%Nsx@eC{^5^;NOk6!Q_4&>Ys72L7FCt@V7B49yuQ$0A
zr@)S84)k#9$4S2m+u<mtjAuxC{r9wgUIbLye;fBdU-<tMw}w~#`(FQV7{0+}no{N_
VyI&z`<7DTDv$6`O-pJ_Q`Cr}@>#+a;

diff --git a/reference/plot-12.png b/reference/plot-12.png
index 086689e3ed4cdf91c03516a03668b095e261d00c..4ef45e37c9e3699cb44addd0b18ed5b212f267a5 100644
GIT binary patch
literal 59916
zcmeFZ2T)aO*Cx1)U<3p~i2@3U1j!i`2_jiQa*&*noWX#CM9CsiP!JK2oIxaWL?q{&
zIb<ZKUfUab{+XJt>h9^DnW~@qzPjG)Ih?cKz23E+^zPRRa*`L$lAc8n<bu?Fv4;q9
z$^}7A=;NM-|1uEueg*z<T3=dH4E_l}JNL@G;U8z7+*h|p5DH)P|Hne6R*ewk8X_fj
zSJ@?QVaVBqsB0Hz#m1>A^~5s;8iwx$*RGtr`-YK#<;mSq{V|+RxPA<{!p~1B<Db*A
zOwvE65;`q@N>u4HXSIUQ)4Tro8rQ@g+;5HIs}fmTD9LMz>RYhpF7ps+&1>a|<+GoT
z=iuneTTX~MLm-NaPw>x=;<vUP0fgq?A4V!Vm)Cy({2V7DEEoIt=a~N)oqu1LjMSZE
z{pYt3C_dGH9{ta|{21=ARZIW-Hln1rqc{G2-&qBjl}rD=?-axT_{TBe5|NP9=-qCN
z#{X_zl4H=&%pS{Qv+1feROTFw6>yk+)7nE4$mo{%_opf9rH?NoevJY$bm16w;sEg|
z`-qd9bm2`OZnD^YN#45p_v=m(2miOfuk|$!lb=5L$3<}+7W=zK#{OB&P~ZQa3%&b5
zk!Ybe=LBoT?@RspW-oes)qGyQq-J5c$gGk7Z6ZV@SUt~ptT)F1U$pp3c5(5QrlzJV
z+?H3Ys}7uCZIdK|NN3wpaE85)JmUnM<&@CN_N~@?TCMl({XM8K<Gicz4wv1zw6>(X
zC*U2UR7cx53EqdU<a~Cu)<O*-R1F`b!hd~Mxg{nkNeiEQbhuTOW86Z@;GbOa{z2Ey
zQrU8{`_|GY#gx-<`<^sVIFH7dBveng#6ISZ#i(SbvFMchIgfafYz;Y6B_}82laTmU
zdhXHOym_W4Th}=w3%w_sBjv7n9l688ue8`=Tdr`Lz6o6J*0ia6d5%OdOLcLzfhu~V
zHI}C}(}>Dr<!*_kon3B?oqw|4NTugnPP0q=j`Kd|U7x8L8PCEe@w~b~_KM4*JL%J>
z#tzvWYM(bbSI?g&A|@`?q7xArF}|8v?wX+dn@!@c;v<SUc`Cl@a94WJ4#Rx>X=+cd
z5hkuXIxddsdrggY_j)a%yx;!5N1EdeI=bey^z`)c!4msquY+AVZ2axV&lQNoajAXU
zOo{HjI&Z5{DI3d8!^5L$?`~vh=vQbpP&!!YwlV*@vs1Zc!wqicYU0s;gP9C}yxetq
z`hf4>MPsWp2Qu>64C))%$#|?Cimh!Z?tR=UqIGq3<=#tzyF0$SfnDNydm6rChL&W_
zs|#GL&U5WIV!2tFn3$C6Ex7}3NJsg>hm=@mfBM7_8W;D)Y)E4>CYgbIgM^5v_zMp!
zYpd~9)pE}Sm%SsRzv{Ow$e-5b#gE8as=vOdbHoX`ci-BOjpHTo+}rHp9DmZ5EMAPw
zD&q`c94fY@T`FIfixcr4HY?d0cE?+vZh29sUwscx$j7E~r`~KQB7*4me3!J+`7)=)
z?=3tdfly;*OtGP%&)k<va5M`o+mwsaUg1#%_vm^LnOzlE{8eP5>#<r#qNABz6hf_<
zo16RQ&6{gmcUu#La-5fSlruHDuvqhs)SxdsLP8W!f<5_za9`=ue9vEfzOu5yZWP6;
z8+`Z0X=+;98Y9o0ot@c%BG$^oU5lX5z38IWaDU<YzuV07tAyoujbZ07FfbrUZEdaI
z>UbTm_n}~*1TB&Hvt$MaCZ<}bvahb|#^u}N0e*pj`I<ej;%tud$~%=h6>e%}PRw?8
zc1a9p;Vr?GLjKQA;54(Fv?hqd*X7cdJ6OZ8rX(dHivvXs2}14)3JQq0qJpxrPrQIL
zS|zy)ur+S$*Wz0Cem$nBsHpZ;?-+}2<@tcR;{kQg?Pq?DHPI(VOcmLT1j9n6VMXA}
z@jERr*v#RRkp=9m&rFQh1>BBpQ6M@67us9tDe#WVf-V}{ok^CZQ!#J1CzzvOclJl3
zh;F6La5<mT(%{X3PhY>{-@JL#bf}c;X;|TJVjIePS>!@)L`5TB0_`0g$08PHx-wMD
z95IOV?1o$U?{?|611M^37FwTg`DPuHdu=I_0?Z>HqzIWb@^RDT6D1TC31GSUEbHNY
zIbH{DoHoN+Q53=+yjfZ$4}+Q0c`JG48P~4R{?)<Hx*bxA$_#gXeSFVVY8@I)vvvsV
z5L;W@+^i^OP5z1nftxp*rtRhvy>^?d`8ICsA+^w^D2C;(-MW?W!>E6Cb#;8cE5iwM
z%bx}+`vyjM{RhXz2^Avoe47!SD65{V_>RRqHKy@4Nvg;x-wR~ZU%#XUN~C;J&r8)(
zg|6_j&(i5i523uEVrsl#iTI16U~1~Pk>tl6sj{MJ9Zfq_p1(sSvF-CeVmR#LPrtZ(
zB}gJ|N=Zq{Xs5rxLcnsMC6*^3Q?rOa&PK&8v10wFfE;FTo%li}zkIoC;NK%)XqNXm
zPvhkDbo1PRO;yF<#{MogyVzqV*P{yhBQzIYrlW<t)?}!awF80W@(DW%M{IXp1C@8+
zn>YAn>lR&~UsB(D)w{pwOXYRP((=pD8Z|ZbTXrLVk1CHHJ727@)4~<6gAG;Wj;Sew
z*X|sB+CW;z+{$9nNVD|%Ol#uu29A;XVsFm9;Q8}-cnx7Uq?3BE6!l!rOIq2(Kfh@<
zyy38){&BY_OMB|mugOWn*wBJX2MlvjV`!>G3W0#r!V?YQn>VH8<lo+|9$VcVeStUr
z42SXw@5qC+j<JmF%CP0C{Wa;#_o}?Q@${E%|GjR8x1$%>@r1XN;tuCCvYQVkcc23`
z&e11&T!IU9EcxNSTtT1aygVEf7e}5prR%k0q@4b+&MbySyR>l*?rVzGK%pEaBV1fH
zOACssP}3TArQL3%s!m(PwIDygZ+--{lY1v{E*5L03U+R}drn2FYU#YABqn}UH0*}4
zz;1Q38HV5=pJ)h)Uc5p{8GNv}l_H-gtfT2mJnv2he;RsRGCr>VBSA>Bk_x7YYBv=H
zMGy?bV+cD3hoY9&LZn+oi|Wj4))2P8N;aA70@^9sKS<fR4HnyOH;5cQGwVow47J2U
zm}TCr=#H#-A8mQRi!$raPj7Ko#goq)7U_<Ga>2|6QwWrjQ>eQ+yl*nh)wG5VX{RBy
z)*HFET%{{VCFG{OZnvZm!mv10R+MT~>b$&Eu;Grq!noKRd24p0N<?^j^aOHaZ*zNf
zq8K`?P;j62ypwj3HAR+onQ_rzs%)%Yjv9h?7|D2kN3CvcEv>)}Y>xqa&)Lp&!uihh
z7hk{LzH<I_Y)`sU+9Z2rWtzR~&b;7i*FQ7PfmR<%b<lHbNUh3C2&OQC%+1ZY9BlO1
zj(Bdp*C;Ue3ks^sYZd-e^yEW~KHoxVB`4jn_wT7X@KccTSTl_z^4Zs$xiY65b1Xfg
zNQS-qZv2-%^gz4aY8)ytWo06CxDyaO^Yg<6h|(0ze{%~)XXBKXm98r;wdE!Kd7KtL
z`wm$iSLV|;<o7mz&$gWq*<U$<B-u{X^Lp*`T37BEXV)zTH#Xjn^<6vIo(OTmR2&`d
z+3gne=-6wd;UCX4ZV~PJtODH$&treJ0bmaf3=cg{(#PyEmOADVDQzz@S1F)aEBXH!
z0M=qME2rOE50#F=Vs9VrEw^Q;vc_IFb8_M~ZcPZPtrhG1qE2{AHH#_FV-E8%B_)L`
zyX;Y>hFxh=(l;}8)f8JH=4HQR20LXsg)psK3=DVf-aY2;?++dRWJ()@?)-<ijf5P;
z!wzq_-D-KkE6x1z<HtHdH5~?xDuFREF~wd7rK$!_J#X0zCVzV$t|zju=jG;3nwnSW
zguw0P&$NM(b6F~xVYJHa)~*zm_xP{-%n$b2L-=(rzuP2H$n{o+4#qI0MNd}UulM(+
zPL#o1`jxFK;<4Fh!i|ZN`%wCz^RqhD#na!WDhv+lG+*oMGEitfe*8Xl$|F?y_vDpa
zla2W<bXGnMJE;>+C;Mc)_Dps|rV1vCdFsR-Oa|NiZQIzLd3S1&y@fov@L77fxNn{5
zN>h7s@%)d6N*#IKH<{Mf)}S0=9{S*~MZS46I>l@klCd}ZsMd9S(ID`zxjQRSdvf{0
zowSbkFhOVg^5~~q6GH&(c)*p|9iC$?*W-A{e*Jpw^rLf7hwr*m82no@DXdGTh*`y!
zJ)sM7Z=Hkg_f~dX7At+Az-LqMG!yUKyp^?NVClFzE}q?xJiWwbC~s-W1W<s5b)>bm
zwPDD4B&fz0Z;#VS5^A<SgbMz1ynw3QIqKV1{hT{qlZ~NrSdFiG&*CUKP4Nq@hy1+{
zu)4)N)3F4XFQ1B+Q>A<CHun9LJWn+>Gaj=&*YS$vRze$cgTG*+7!M7di_M+)@87%3
zeT@E<Yb3o>RN=nWA2Ijq{fjs!2k-Xw2O=_3*aL%uG1w3h9Ro!+TL#yS3SeN#9sTZ*
ze;3tPY@3q(Jx3Y?%}Xw=2BvWU0j&hWaMg7%S^S(VX7~B7a5;>`^m3l1u^Qjdn3yxj
zC)I477#!TFRN+@T?u%T}DY|)ic~%l-?u^&3pBx(-Tl2KG&cYZ$2b#_e6lo1#qx|>#
zlEU}ZYk9{N-l49p&b@y6A~{3a%+L6Yn^(Ea+OPA$?X*zNc+_%Eakm~Vr{5OY6|bOa
zibxn(e0zG#Zueko#F?+X-H`q9+GJDZMGT8c!y8(-H}@Yr_%6*_aT58e#)Lu)K)KW5
zSK>?NQe%I???i4i8DoW<!^6T1uQH#}+-Q9GqI%S>0@x6fe6d{mR$cWA9PKF85Cx|X
z>~Zu{eE;s$>#$Qp;S0#b@hU2@7XpU4_2|o+W$6*Q_XZ8Y=xFyC0pysr<*J=;N`T(?
zk&N()NJVJ3ZRM`^$hRp>bX%G{RSTZ10DveR&kdEty3KDV@REQVAP<(j1uc7T$ND}>
zKSRB;zur0lty@REh$n>FL{wCC1(3v8X3=n%H+HZjZ<+uz{JY;GyJ>E&BP|7JRh~&}
zl(!Q7AcZ15bytzwSCfhQAYrM-Ex^5URcp<+xbg1avO3(~0koKj;rFynQ11M<_onDU
z@0E$?zYIMSZTH-ky-%g1S*k6$PcTTGo}Qc>jn?(L8$itbCO-ZGf{TYIneiyoa{kPP
z3k4<Fv)NUL{$)$0=Kx2C;%O@podP&k5A)HI#nEP{v_LjDo&D^YGu59}GLkwX<BpSY
zTi)^T5UkuDKNlzL*-sZ^#Yq|pP+TSB(R-k2Xtn1&852#cGroQ0wnaD7j@MlKN7J4x
zip|9V`U&<JnftP`;!q`QCO^ruvqk_z5Qo#t7nZb|qv+hSkA2zFPeRD;_nU_5Qb#Ph
zv0}&<`wKE!@F;?RFOTTTd2f&TUg5DO{~0epPq<DOenv8cvaUm3BnW!&j^3>YO9vK?
z+bfTO6kl!#rU)O<XODR@*+_7noEKkS<RCwl-_tQcdGepdBl>;vR8Vp<&9QHbJ%D@3
zyLZ~9SxZz@Jv_>b?WX)|b}tbU8ubCYiXO<fosdxX>iznd1*6GC9P4uS?Af>|c_}FZ
z*s|6|>QL_5_2Xy66>Fa!JHgq&Vbn|%yXBwUo9X=HEnDu7`XDmQkF8C%502ig@3=6j
zl_mBwQQ2e7X4@-cPDK_6yBqJKcw$><sHyMTy9bf;J><0NSFRNC+|92k)n4Q%0PyqB
z{yY?UzUy)zPb;DBe&XM1Mro++NgMn#=g!qodG9|1sHdj10~p8vn4FyCfERQ`bS!ZV
zspfkh9ins4yz|q0K4WhS*jnuD>?m1k!JMZOCU@UlSbeN~gO;9zRVVN@A$=)RnZw*e
zR}oG5o$)K}`n7%pYNZb89wHvwPdtFoQ+CY-&m?+R{unub`UET!7jt$GHpgm!`}+0k
z#Y}t9qecT*D*;-58n7*8w;2|U-eX~BzXZGi1cbNKZWXQx+t_~*{Ueoq3dB_v@bfCD
z4&!T67&QPWC@5VRt{{VgxhE!e5^zEwbc1A@k;>V@5{}Qxww}0xyR#`Sv+sSs!T|fC
zQE(R8Vgs-mf~!|wcV}wSvau1!3$C6d<up||ra9|bVBYl|2DL5p_%CWX#|H|nYHX?w
zUIhl8_j&bdJgaO;6!yliOidmKY`5$%RZkCe`eDy4Z9$k<Z@DapyT7Qv$j|5W@%2s7
zE_0e4t`JCY89&qcSp}1USG88h_Mr~$K0YDg3tvh%Tx4ZDfR%=o70;%8^_A+p^K^py
z(p{(%XuLO%xZQr67KMGy$;sh$S-Hk-)$ap4krY7lx4Hll0-$EFVN!s;UAe7?j89B>
z=A1zuSZA)m;^;3ASG*N)W+}And;a^k1JK#auV24L*Wg!`x3`$MI5nscnWg`6eI=+x
zamSXg{i}}oHF}ndpZJ?;5d8N_XRg<nnJ+-ArmW(3m>pe~P0#PG|9gyy1^>5XxBu(6
zAphSW(*1kY|IcZHcJm8;d4P%Gf4m^_Rn@G5@bD%sE>PHWHwn;;UF>27F_YTp@{<$a
zgX|Vgem*?d1DP-hz}4Z!kAsx1lLP>$LD#_0Z@6a!c~F=n<rdn6Pzo*l+{zyc3k%b`
zeFdE&?w9BY+Ahp}dv+q1DmpZDZ28G2^5-S2mG(1o@P1&cl%lxazW2nGZ{DtUKLKcv
zpO{(0CoR#7)OpB}1cl5%OaO0=^_e8rLFI=gCfYcwQ=gQfBb1?2Iwh%X>w}L1sKbM0
zZv#MYjm^zr1D4B1Icob9c6V^=4Q8O1$b}yT>i|&LaGo{#qFHniy6)D9cU9HBn<Uge
zgRgL?Jbuw*S0u<(#NwVc_p<<rVB~1+aKiljSr4=u!1Kyaf#qK2@Yq<*to5DtkJ8*5
zpiW_2s}43}Q@68pt5~A13OIe4UR;}89}ER{r&`YribhdX!R~si$SNuUDy7N&Edk<F
zQH5Nj;2(WSqVvuBXiql|c*C@Gah?86)xBshq5YK_>pJrswI>U`Y)ooj5n74BJFurw
zSrC}Rplt(%%UTnCj(Hbjkw_Vl_@60b`s*5?P#jQCih&QX!O)3LJT@FW2Rcn}z8T@L
z$GYtPdg757bZOWz&p-}Lf>{T04(pShHKU@!R;6fG-Kag8iY3^z0{g3jnlqnxC<L5j
zvSxro2y4n4B`r0al0LpD(eHgn?{^($z3LbOJLf4XV4<oOj2=ctEt=$JS%qKC7z|;n
z;Cdi3y7sXLTUYy<P~6L_QkDYda+J|SC8dM>8<hnhC&^kFdV-A5Izo-(qbKO(v^>1n
zoulu0(|>&Vmz7qTlWct<2shroN-RJV?8uxJ`=>T`E4m~qgE<t^2b`hP8cn<RTLZ@>
zL2AD~t|5;CrS@jePFzfknNq9&<y(WnTmk}`EF8u^u0&5&th!pa0{gR!>Y8&%PD;Ad
z!Huif{t71buR$m2D5g-%yOwFY0`ECh=uTV>w|wwn{&XnYKuOiXqHuM&Zp^E+f#Q?4
z0W8t^@}+Qrh7DNsTMO%R%T-5F*aIN5QzM#1){9?lrZVk2V-NS&<x3Joj`llDu<7SF
zmq%EOHb6u=yx4Hd`ojUe*k9{d-MmWyI+fdZ{TyYnVllBujmruO{4nL9XoM#xCrue`
za@20aFa~l{4&--j`2r~??mOK@iXBjWr+x#BXai6Q-M>GAjWh`N+_{X|U&l3WQwqQx
zc65&cotYMh1WsGT2#mzZ-`dVYQw{f<vtf%13ssi?wVWm9y7K+Z^z=AXUfa}&-v0LL
z)VZ&hR=a0PgaACAKwzhW0L0+`yuhLdm6RMyC{x<}U_4F0_INjbmb0&~4`te$3w<y4
zmdaWmmjIVR$7s2aCqQNBF|$3{iLD0h^FchrPeB|7$y_ii!0%JC<I><&fPIaPjo(^D
zjsig-+!eS^LsK=*O#1xSN9pKa0Q_TFUjV*EVR2}9_z7`EpjKzkowMEjZN{WocpjvZ
z4TIXl4H)Ie8A^ygfkJB(R)!>XtSVFMfeL813$qy1e-8@YC*Qn}39P_<!pz0mRQ830
zD(hI%jyx;^oak7gv1O9zc^br5SWR@7y^FfaWgd~bu8xcD7Z)xa6OSENYwp-pSoRYL
zoqR$d0JdXDs$BeMvz-qguEz{sxNxBkV9xW7G<l3zPM!W;YipLnT`Vh;ZY4Ps(>)iL
zVlAEQ9s#SF7!H%>T)=&fYSuv4-;Ede2L#l>PRp?#;s;bp3PL7u2T(LiN=i_~+``re
zG?u}C{A*=XI6Y?48W1et2$YS$O*u!xq6a7}cL7HC!mwz~0Gs1n`zaW`bwHAA4|W~j
zwiv_90409-`0<aLYBYj&1mG|Iq^%*0SiT2hhbbL%Xq6$~fQWCu;3pVbLB%^<YIGzM
z5fLE>id{gwM+vJ@^DDp)pf8*LN;*dAzQ6`r1641)P~3OH8I&_*`{h%ueh|iyYjkv{
z!D;wy&pA~D$O^dwbPJHp+>9wBePO7L`alt&5S@c#EtcFE_oYf83h$yjup2r7)tVj$
zu3&>Wsc(%|zd$P-m4|WgC~INuet{K}hG~7vc2913q>AdynKRt$_e4d}NijQXx<5g6
z^u&Gg^KS9VG}{_LM}asJ_!}s#aVRmd7pE`02@ih(hzVWkAW|+yrAm;e;ilmz<l;ep
zQp|Y7%qJo&Oo?iPk&G&DA|gP^@B;}CHEvebW!Tu*psR)tm45&J{TFlukG;hrzt^v;
zfu)>5dUK7=9WEaowmv=|dDlo#@^#}8Ix7XY2JLwr=ZU<I4xIBX``SmS2?%yB_}(}j
z17?81-sU3mfPV)7Y|ft1uY|JYN-}w&jfj>JEg{dYVL~SutNtJYje+G8iFY-I&ps7{
zQ`MVs3)FvrW~bkATlvFmD2rZ8O-nNXy~MO5^#VFN0fj9Ml}%t+t7<_HTg<{XhSJ(;
zgHdt|(c4*@GNSBM9LD(^NuLVSiJFP&{OK3fQzV(om3wmarWLi17GZv%C>F54FSOr2
z!7o#DX^Hi)?}v6H%Yc85cpnJ?ZT8c&skjU}OffLrm2B^WbBW%EB}39m82bf7L&H(n
z^WP|(2T|c`(7sjZElk(kygaUk`CHI78e3XUAs}_tOzeX4xC&GLJ!}m0H{pYt2|Mo^
zAYk}LEO2MygMS@=aOn=LRt=d=`7>x?f0Q|Ye^DTZD<HMf+_+I^O#v;J1A(_GcIN@g
z5Ip$Z;TI5a5AO6zuR(~J*LW_-^r(XY6ME3GM;pM^9T<#k4zmifMFpQ!GKgUv$obSj
zL<DF}4EIOU!GRMv!bK`!OXsU5uS1)ENob4{iH<`1-v&v0wNpv{Js43S5sHJ%2U-<n
z`DVWb-0p~ujpB^*Mg7Rc#1Lp^<KSe}%JK~Ppeq4W<Snmla%x(p=0Fk9U8fm~p{kES
z6{QbNdkQR6i=r|u%MV<2-W6B@wS5g=cml-dH?)>;`z+F6S{VayIE{ewn8DsObVs$q
z%~2*nP`$Fq+QJNE=>S1_XietfgDQKVTQA7%(a>df;%y1Iu6>YnJat@tk35=1`+2qA
z9hjq2BTzvasUzF<WH!8k?_oCtkg(R%h6q02-gW_4j0%ufpc!IXoBbDP1(b$`g-1s!
z&8{tp*c3(IO0c9tU^t<41Qcnp6p0}8&Vi)xUOa&K3Y-4PN7*`yoA>S%z+DJWybDUf
zrrUv-*s(h4t+kI2^kFlvNo;`7`J!Q?q?E5}_t<$b1TMqNoVI@jz}5MS9B$W)l|JYx
z(5rsV?#OA`s}NNL)&{8Iw!29|zkVsKLMMw>@1Yu1b>;Xc3*f!~e(o-Xah^Juk4=VQ
z-u6y;-tzjFMEzXXr<?3Xy!J9{Jd-=-P9mUpX0zknzsbVVoo{8;pHG0guEorc08G%Z
zv$q?0g3)L+-s!f0`omw;^XeZDfnG2UJBh_$<D-!KW}{2x?tF$_k3o)FE%b1%#S{?q
z>mH-lFbUurXY~d^N0w1aBKgL<zvq&_epNsX@3A$QP4=Ziz~Bf`Q-HJvg)qYVq6c5o
zFW-9P2NUl#ye}#pm0_Hs`#`|?XhoZ8`|}-_bjRv#`)L`IGSR%X!hkLmLq5KJC5}Y^
zd<|c$YEgDYVMo99Cfah2KZO?k43j(0n=d%~gFsivuw@`|#vIUIp=Qy>m;)fjwe?oY
zfI6CJ;G`9*26?-H*{Aq}sYI5-9eML$9+d#_-x^@%0J<03%4YJ%ZJM5*-esc81VPkD
z8@*9#*3&;?XgE2Q0fzX)hKY9fOb|9~3Ab0qZQUcE#}VOo526woUfKl=zL?9}RpxBt
zi^un+Q8+in(XG8<%Xx(J*Jff-zclt<x8P7E47B2fbNsvIE0fd~kDx#a5ua+k(VA|*
z*;n<T6)1X-wF8I)`+9<ZNUB{H?3pPXcOdG;PsW}PIi_RXK)7FI$v$isHf+R~ji*BN
z`*MxAv1=;Nd&1xP;EO5}wZS}9pN0+0y&fcyQoL9=a1v3>GnOsWy;R_I_Lv`#5MIyc
zg}dhpyXEpD1sZ-v+*H!))-7|g0yaQiKW`x=CB+^E`esxarN!|F7%Z?UCoG67FQ)m?
znICI}M=8iK!>m)T=9ENHp|7t`PUqHXH9pVfx$98o_$lOt^RTNVirNmU-V4ihVW3ee
z_j9*jO2ZcoB;|Tw|0O|qV<6m#K-3Rlo4Jk`NYG9O3PsB(bokK&x3{*w{w$&onk@_F
z(e%k|R^iqz;k^Y8^{U--dnnQyDY71#&%d}4a&mJsC2c=`G@jEeOv@Xf_z*ix%;Qgg
zVK-R9&(1GONlUM*%V<;_Y!2jRftJP3v;}>t*wbS`Ddtl7)SSIb*fr%Nm*x4cLMzR(
zhKJ&tp^KRv9m17Wd#TR~kIK7rG%l4VSSKbkBuj<Uy^GpXdF~8VoqN&bsMXK!IR)58
zVh6|OG6}eruFpLUW90)#NeG=E?gAK1OsK9_b@CWKluc1tR=cCPgoHmB&i+6&Bj<`i
zJQ+w`fW;Sk^e752(RV}k*MRr~02(y!fG-IMxmVi;C<tt1xTU^}NjIvonQzzD*Qc^a
zFOYE))z#J64WoA18qP)XuVj+8wmGw4GpXh1zvOjZiUWI_$UhlZTu}^U;`<<m0qcp_
z0IX4MEtDn~pWBxJ7B!kqP*3c$BnCT<0GctuiPPs-7^=@j1RicLdmr5jp$Kofei80B
znkrE@hGBAXD>VDUmD_jf-y1o+7P@-%DmTRr2-i}EMn-4y`k0FNZrzgJ2hAJxKEIoC
zMy1m-Gq<D;p_}XB!-ryWa={RrP-7wvjgMz`TIi)lL6)MLnrYtt{?59UKHNI}`oOC+
z92`pUBFK@5o11?&?fv?m$r-{h?6wPoB}zZDRkIV+@=Zh0%N&dXr*Rc<fZyp0q_|1f
zrBwKdseRsZm;|?M&N}d~g4osQvY^OnkS$|mMyqP8ae;zg+2e3$hK7qv#n8kA!_7$=
zL?a}m9Z1F_*S+3+E1UOA!)5sa@pz*17cN`|S&s-V^1CJXIcOy?$ER==5Y*gvs&e=|
z&@&vutuc_v>DaD}Vc2Vq8{MdzDTz#Gpb-|<LGbVSUS#Gt0)9<&r^%Gr1gO4|y<i}f
zh|a=D)yPC`N~8#3IkaFJM#cvSKE!;&YV5j07i8aY+N!7RHe5DQHE|&g=YU3!hBWA^
zVLaSU!?@h4)}*X_u;SJ}qi{sk74`{I1LaJ*Fe7vHs*l@(ivio%2Pzi2F?^2hb%?Im
zfzua{*}jz=vd|*zWi%Ii`upL!v3tpUfV;sSi&pWqnH$%y`vJXpJvgX!)dp-MUQjpH
zil4ksrP9URtBC(8@sW_=lmMN}i$<{YCw&LN#~F>}AChgS;CE=W7LrI&<h1CPiOS<)
z&vDTHD4G2^U4Rs*eXgd2A`u&?lIlw!IDXa4g3mbq)CF{6iY$5Q=RL7(>5^A8t31+K
z={=S!w#e&0zpT?I0N&$RIt0Br8XL=I@M-}2WTuzx%6X`X4r?Kp?O{`3=T14159?E0
zH9ZJ3s4(p6%WzmT2ZWIu{N)Q%kpa|x#OtdF4If|MBLAz46pYc?;33oygu!+Sn}VQ(
z83!vwbwHm}L7u$zD=c+cP41Zd7A`M*bEcuT)|Axsv34qa4Wnt5C~mvUX=O0pXc0ev
zWsw%HP#XuQvH&$+l#D({T?-)INZmae#X5iroT6E6${-z~mZgfxr08s-Mc)0KgE<qO
z-av9jN7o}k6Uf?~ZmVVXBY<F!epb0{eC{aK@mLj)<<74JHL(tUU)}eY=Y}X>T1{o2
z%!c&<4o7&WDMU3`LO!;|I9iIi0G5$Y7ICFbZ3jzkGRLB#AbfWN3axmb;A8G}7a=~$
zmn%An6F>?g)(f;0A5%z?k&#*0XS{Fk+}noNIgombZ-iF#HS{FY?4~~ZdX(SZu9LMp
zKHMw35lMAODx|5PaLoV(ak~1~Xg;3@H<AWOcO;cHbkWTR@zCxTf==2IC06Wle8vKQ
zimP#h#$;3iW)#1+iH=Uf{=*JP7nK>6hmLMI$%sY_ZvE7lfvf~GtM+nddbsKmYk^_Y
zrDG9+Gz^)aKHbkM1Mnip8fjk}Z_uDZKh*yW4SEdNy4;&%jnU948nly+aqEnJ6FGBf
z2pumhN02s(u+Z$3ss!IpfGIjM@&+cd^2STY->Rab&r=7CA>DH94rEw9{U}F``i=d~
z0h@P))un+IavpygK`CZeyd0?Hl*Vv}lOp|bEzf7bc18@<-M1F<3zs1TVeY)MRyY7M
z!_e-yPQrTs@Qe@ZrSi&c!6H(S$&qX0<Kqj5HmXI^4<CkMc2OCmYFog~aiLc+j@R~k
zChtM$D8yEVCFlhOwLYY!2{2i3k{WsZ%tCS>(l3&*Xw8PdeSpDW^2$VhyH$XM9i?mI
z{^4cOPetnTo|z}~cTM5t-mQI}O_`ml^%0b=^C7~yJbT+3JEb-neOrlTaRt%%KljFm
z`zwI}_qA$*1z<upc??@9xLQl-74Xcjal|1hiGY}xE)BD8s3m`aQm}V!AJy>WKucSe
z!w9c6(q5d=E`D-XP6Qy89QHL34iJfsA-)$W>~@u1<hN;3!E#Rl?FV@Z{Jh4H9ZlK+
zfc!P5m00S1bif08DC$#ins?%Y0LLwV)@%GVJrW_v)wA2_>OR2Xw4mnW<5R4aNdIME
z?mn;?1OXG{w;6fx{zi|kHERc0;q2ZPBb7o>M(2|z=UTuE;zR}Xs-wdJBTtAaDy7OC
zL!gh1r>7;@38X%Me!TA$p2+^~rOG{PUn36a$qukZrt+H%zk|nui`<u%z6WjsBoe4~
zfxCfl6yBf?bQg_MB>l)q0LlVg0=bi|Q}HWRmMnT8NeA8R-0O_eWF`K2oOykL5C9sV
ziq@5YbpUx%b-HO7D&-V1=(V?KZ4;ih_)uB-dXESIN4V}rvmJo5&2#NX8J&w3%jC9c
zLl2<Oyo(F=^Lt{^*IcifIP>!5%eNxl!ie5?pEFKJMbKlC!16(!-c(90_IR*Yu{9h3
zG?tc!hXj_o4z9uv#OiA>7^3<h>3|O3eL$}|1H?99146}1K74oyGK#jN-;NEsVKXmc
zG6u3BwP18W7cM2|`|8#1b-GL@;&Ta}o9dle+GODDQ1+0RGJbAF?UkJp9=pl=;70Hr
zlrO+$)Y=3c=^}PRlB!SBbN|kK?5@F4<g}E#O6Mkg@5f``Um{N-`Ziv<w^Rf2wLgT_
zv`XyiGT#a+7MQCbg`ONVe`RRI;`P8W(R-PF6s2ix%dZPrqQU{|6G)t(Yr9z=KmfkD
zG`Ux1Qch|D^LLt}HFa0SWx%RXD|g9h8F`eY^%?~2vM)#A=8HowXM-<^+C~r)U|?i?
z4pfKLQBvoiju3$`(e<><Gg7*_PR-<J@bGYu7=}*9n>W*Cl4TCs->s;6tE=bepAu{8
z!jsbl0?MouqLVFYZq5i;{snlK`e4`2wtqZl-jfxCvQKbsoZkN6vmN(YD6iV+*0e5o
z(FN}B)NjzW<D!I~j6RKfbYz46y`T<}_}#x^Ad?tVP5?N~6EYR8KnacVg2D0OLo<OE
z{iiqBK~O4)QC076REaZ(jENY?L!ocq`oXWAfG}ho#4jy>s%-4^LA*9Imd3T81>&W4
zZht^;24N<o;JDX27h~VNQ7~4|T%5K7?%D33a|Fp4qbL>nt3QnMQa93D&$&yT)%8q(
zLe`K2E;(@#6GS0Ej66BqcLhPr?6UwrKPjHz3Zer!ERgll`U37&#Ai(DHcK5lk&+AP
zLYIY{hTGnU9%2#_0ExP$Omxw$a{CGrksp2wSWRRHNTZulG9Sgo#hVON6^TGEMfo`>
zA$({FF7|T`LL=a{oAlG%*nL4iV`^48Zy%8=haW3L7o8YAFZ?>sFkWQ0ad>tDM`NUu
zYEQnUWAk(4A{p<KYr*7v&mjmm3Z6v+AOt^9FsVQ^1wLH^4904c3bdrtD9jczHwVwy
z`X~&0ley}H#X*5~c8@!0@CT!O3-J!p4pm)GqjfJ(99g2(A!P}+K#N_S(MQUhDJ;RI
zN-bZoAi^2)qB-r2Kw`1ez%VG8fb4-LQ$Y^^U_ltmZS@_n^qZKN*B}YJhgt<3Egmz~
z*(A0>!tVTuP#hX$NJlQ{59gkS`RKzMEp(4%wbQnCI;Kk=@uujc{*M08+%Azdp8t-`
z;53w#F96e))kykktXUa3AObla%ido`JHV`(=Rp1G{h?HZfhneCtj@eReIG)AaZXze
zg7U)l$tfvQ`FV<(=JTF9nHmM`>z*5~))Y+_5NHw3+Y_qLlnhH)tM+rXu&DnJLn|2m
z?O|4revTfn!2~Ox=*yQczlXwCtMuRlg7ySl_rHW+G|zYpLG@X__8kbF*_Hlw9cy_@
z4z%emBn{CRj^NS$I<MRBPjNHmA54r!Tf82N|F%F{32TG5Q$iNZs6_DhQV$2chfP^k
z%PTxlD+`U^LQ%koGk|S-g~Rwfq@-@!j*E3>YLc8IW?Gr&@A{IM@zMJUJxyt-a^(+_
z$XL0w@MskcCgLx;Rh6PW-kS^RY3rB8tAXA@nBzv}&)T}Wra92=N|>_cu58ceYU|eK
zLqNE%B+si4jaGg&>!9=9VDx_u@o9+BJX?d69Q{4l0iqi~NJ#hEMPQ(-QFNyquDOEW
z6g{A%E(BL5C%J2Spl?v|r5N_C&LVF&m`mEF4%HxkKn8=E)!QAwsiLy7q0%GISlo?|
ztxLTn_Vma#&`ao^8A3k50ztr8`AX)ilMPkX#+lr_%P2H%48@5&_(`Qo`}qNDIP6-w
zbd5iI|4!5W?r0siGk2PHgdlUVzcZ6)_d9D>tAH--+1gNYb%zriy$FnZG{XOllKQ0Z
z;kE&Cqv*xg;3xUuIYQE8Q73ij^H7{(i2s+yfs)Q_U0u11@VTF#wqA2deVPtvT?c~F
zdmS5pfTSLdi&%7jVLu8P<N|Gg&r0Yt;|nOkeDf~Ud6xvcCp0Q*`q5GCJ6sT%xT8Y`
zQigpuy#`kv$!Kty{z8D<olvkFHly&A>rX$Thl$vd*@{`)&&KiSk=*<cLiNd0$$LTM
zoBQHa_995x#n36+@=WA^#PJdG@$s#7>p%`Zr{rOSCU_WAxCS<Z^{@OG6xgcC3?)J+
znbQ*8=5J2U%&7L3Larw%AJ|dT+*)wf2}?;w_2qMO_aSH;79M^q;`(_Hu6I2HY*Uky
zjqbG&SUL$*GLlvj0O;aM!Xr?4B*1<^^dPD3GM}D?O6G7t;a*xtU!Y5Go=HgR;tudn
z?O>U+#`EsaQH&!@#&rpFa!6fiR<e5DjCHHciP{tDH;`4{0(o}M38;2ss2}j-{FpRK
zsaZ2kH9|^|zZ~3S(AeJJB!GUU>L}W+f|6c70rD2Kzlv=QIzK6%Q2DGJihV?MD!Y8`
zEJy$bAff+32+4A_rKDHOAT|?Ip6@(x!D5fU6el&q$zCGfG_#Q^wKJNf6_VQ>nY!rq
z;j>zPbouF)NUOFdH(xS?f5X;K6?#03yS3W@Y8B<1DM3F+&wfY-liR*?DUdvv_z4hb
z^s5$N?egPkiYXEoTMcY#CxgK_;akjT^RNEVRg!g>Xt-P`TREB`oJ;Sy-`vlW8MueH
zqT^ojP!Y`&-?kp)-SL`gj?~fhEl9jrT)FG-$M6=tVc>vXqtdd6-tGW!cKt>Qj14qp
z++48)_1deomS)TyixRt?;jR-bajyddBWNjjASr<+r<nx2_FZ;98o@G6>6nPuU-$Wj
zDy|C)mH^5v2a5?nWkj>}Fg;+W`G9@VzxehuAz!z9W1s!fAfF6`c*pi3*DAQ#Yk)ij
zvhx_i9TzdD1vYT6IA01i2SSd*<qm>}qPRa|dE_gz6;ocdcwj3Qkx_6M>;+K!h|m1H
z%9>0(`K^ODY*^EKkho{oEG*Vq1{j+I3Jkk9D<fkV?LCkd7jhHYF}?1H>K|Tk{0$zr
ze@IA?`)lEqDjaHv-s0V9dNJEv)8S;+{^51pFhu!k>;T|>PrCa8iSQs`70Oi~s)X0E
z=9Nb|*{8znSfiYpH++#TE+*F4nh$<V?0RnkTJNp>D=SZYw@5dqXG%b-54_5OL<FvM
zu<r_si0IOJ{BhhWf<Hyu^yPk(babr&R~M}_H2MkKw+4c_&4a8O0pRK@$bndn<=*O3
zai0j{nap>btjyMLp9f1CwKblG9o@^4m{EESfm*&yImSLhN=g>VarzrKnr;z!G^u(T
z%I|JRrlT~1YP4e0u1<4c3r4R22)A;COY>Bl9;^7A8<7$q@^1Z6wC^eWYHDo62U!Zi
zM||Yc2np%sh@ch;PMtcH8wUY@pfmU&HxolIB|vInvRKXYgNE>ho{OvCM=8pUW=^1Q
zXHw4<o1B_DL+u05V;sVV$q-M=l>t`2P@kCv0X%!TB3sB5abv;Ukgo&i0iq^@Kh4iL
zK3WiXuFn9t^~d&P4`gQiAGCy4L-wXpAZjxmZ-ozjE2$fU1;oA1Z9T{^Bby*t@*@}3
z%De!Ap@#RAuqu(bR;7pf4~U2Y>glgFAJR4VKG=wsjREKHHLYYYF64W$Wsu*6=AQ<c
zD76^=K|Uv~#bv+-XOM9e-D><Kfe=X&pPZ!E&J@Y9I{>pa(a<^ED;;npseSMPFQFRK
zZ)}fz7CjqVjts>g*^LT4fKUvA189Dteqr{^Aa$XFnf~avXLcg$Xf}bR%=^eIZPg3H
zy??~aT(1nY&F|a9fE?1Y3Bs7|RP*H=@DNwQ_c?>0u_L4I_rVRrtB*t6VnAS5=|^P?
ze9`k)*=y;3!W5tuYjSmj?F?sxn5@edxl!b<Ze9KS)VuzsfyJ=MNTYQTv=h)kA+ory
zO-ivrwjkD#ocBqR4Eekh9{_@mo#6hKNRtFt2?QVXM+bFodV0w$8_3X2X(V<*QouUz
z0AT7RXplreLvR)CbPSD+{pE#s#6XBsUjjyLr;%MG+?sjx0`a@bVQf0gV&UGuchmzO
z=<1j+l|SsE08q&Nz+!*T;E$g?$@{aZi2%Gqf(o~dT(ek+cgbQQe9$_@4*jTyJnt5O
z=3H4aPSb1Xffz+k*2?YVz&udr^tYCV?5a$Rj9x=$?DJUCY<1MF<9z)6BpPnC1w0TM
z9c{9Hlnx>pkdudKI2jfB>roBcccUeaPYKog!GOtusbklmLOCobS<yAqh{1$!fTed2
z<v(WH^Og9>Dnw2EQzS$DfrG1~N3x)|yoTZ72Z;uG^!HNMEoUBnD*ChENOAXCV;84B
zvn~ZK=6O|uUHb3~V0YB7Ud#K|-(UqNpR^j_)K9#%x9guwgj(UI<ZHh_QTBAWe26O>
zt-sHlnv!~s>Y*&y9_+?AD$pA^rLEKY;Db%oS*{H%+fFT{=u-Kx-`vVrjol&av&F0l
zh~>O70ui?Phc`HRT3G{nw|f^@-Qz_;FBSGIonAcCeR3IIZxyVICDAs?1|_<`^SxYu
zncGWW-vDT1WjShusaZMzLs|0{0J5{r%uG-74^0DC#YK|g!kuRDDEK=wk8VNi*l1p@
z&@v{@MwYlVSx4ev>Ru*$erOaNz}hj1W}^eW5n`6jTi*MtzONqTwxWJOgw!a%d!}|-
zw>8E5CNmsyQ!Oij6M4kyzFhCe{P<l@-svczASGplVPH^H3A#j?qYj{(2Xx2dSL<h7
z!AhPSVbw1EP$C4!d8X_@Hpq#Yu@?Ljq2bIPP(3pYEuySqq-tlH%y(mIYU(v`LG%7Y
zn6SHoslyfS(dyZ|k}un{ja%Nmh6&<3fZ7F(xzOwFvU7wcTOj)484PL$`=Y7#7B;&|
zCv~4^#ABk{l^q6Y$T-P&0Z&7l&DC4dBg%f?dcB9uSyer4Z7dUaal}-!-@d)l;wkK`
zcI3;yyCf#&kTMEE5M_wsqnra0AQp_-aKZ<yUj6af*Hb!ZJZTj^o;QvPGK(OFx-WX!
z!RCm-qkbZm-D3d9W?UegP?0OATd%C3@Dw;P!r=PQ6SSzIDF`I7u*NJ6SCqAM^d8fL
zL343=4mUz8%yDJ(ZmhI4#Z`#uMzLs{Z#}-xb9SSGK3*u|{sE(>E7&|W=yxd9>ai*s
zdIha;G&R;bSHK%YfLX};V%)w&n|xNc2}h$|kVx>woTY}hoJMXmL<_+gjj-qqz79D1
zwGT8H{N|_{7ohYe_Dvr+x{W|In_aOR|6?&Pz!^45&)<r^STukPHEGFW@q6;FbVB|)
zg*9*V0FhiYR020x;}pZqwf!s*4f^Wdmk#swBMj2DYU_F54zu@DgWNGP7g_JcLvEn_
z!t-13S9K5@;u5<5v!it#=27#J0R%9)@w#nqKzw(2YwZP|@XD-kCLx{7H`q3qit=pJ
zzL}qe0-$Q4rHJum^aK?UlAU*6)+)bCaSyt9<u+30yv(wGySBNx!@g4!G=z!U-0pi*
zphkU%13C~zz;+aOmJdm8=7;FU{E<`3`*gBgN<E>Mi=o<Jr55laRI7mk$b?SCNJYF2
zc>&h~YntSz6C?ZVDn1|)_(3){016=h)a}>MdcgS<11<9kzr!bVCk;uTe#tPx@B_BE
z9{>S=FtFeEV8y{bvtqgHR6C?wlqna-OHC*9_L@e%DK$unaH5e2u6`UM*j)}WDLj%Z
zQ9N|wik2*GBH)#G>;nE|g_j`@B=9v@U*@vMw&+75oCe|rFcr_fsJ;d)^}6wox74gP
zniXyZ7{yDE0OzCPNiv+XqG4f?13X7SLPB5aw8)qWB?qo4hKcYzt;@NyX9r2U^gKO}
z4z`@I5H=)++PDNh7zw~*w9%pw>OhE6TSAWg$H&9q4<A1KxhOi>ceoWgtdQ^!19P+v
zaCR*m>0Jo+vV@~o$TcABOZnCtQ`>(|uyHdp%a#KQLLmeg+7IE|gu-c3lx&~}6CB*%
zahlN}e(1#N;LeD?%BJsw$vw0LtC`WC=Ft~5YV@!rBqAW)a2coz0R-sZ%;XCck^f2-
zTud%>#6DtsGI~d`$XXj+XvjI$fi+%-YJG$K?>Pa`o0B+iW^>q7Y(yc~;GpS5zSdmZ
zGYws+J1320P<U#g#KhqknK;OkF99^c2}%+aARX<rde;KBYp$@G+7Ud031YYaAO6HW
zUe|LYa%e(`l~o?qtH<G379pg1F2RX!eDuw5cG$-kIZH3~PZq#804fkYmx>yTrR1_!
z^5Q|GU2E-YB{tl#XsEQ#AVi4nvuZYr=)HSjPcYYl25+^+cv`nk86-^f$S8nLM(Bfd
zuu<tH>4#ls;>TeY6GKFZ06^WZPMt`zliBn$pNjU#(a8?r;xbrNIVD5lbGODiA>LI7
z??zpaI_Ma5d%mz!@nKwFg5%oHP&zhr^zm?();%wTRcvZDR^t>{PZI8CSF5o>i-gIO
z#J5pz3eC`=cLA;s1l9ZJNjdL>TvfI}8_@$&)8x+Q0xDTCqA#L8E32)8M4f2VXy;o5
zNV0u`p^<(Nw$rZi(iXN{1o+F17XwF8lSd&+2X0DeWaLXY{s_WA!=GHzWt+A;5c{~B
z0_Wb=q8QNcn3zHhaeduhI9>}U$`s&kqtRdV)cy__yzpWoW!O^)9NGfrGYYG8coE{N
ze&v=R<swf(c)8?OG2Ge)FQ@wZ<@yE&QzxDYy1FocBCa9~3`6X}gR}67FCow{g1-IJ
z!%-oZCfahGf1i*Ldi3N!JT74z_dh&Jf#CnUk6HL%kl_CN_ypX>|I<SxKEneV8toy6
z2eiX0h#Jl;03k=-L`UOL`{+)rzJwWzJWXb3Y;E1L=Nwl3_~0_!KZJoV70UF0Jah}>
z>}tK+2m%5HSj*^tIki`E<<h0+Fv<`}Z?5hg3G0rQTp@=B1ZQgYgA-z7u`{OS%M!dK
z_wL;zprpKrFtD(^YBT+9FE&g9$4{Y8Bj~w6CgOlZ+O<kO5fVp!3V8RQ=PSU+c?CD_
zF%FcdWomE%aM<QL4Hwl8cG_|O<n05D?fv_HGK}g>#1Me&aq*}w^+fiEhbxmh=AL_z
z)qMXx$^GcndOb<!UYjL1j?wd;QcqF8q!HgcPZ9#)02p`T)#~D)kF9ljDZ`a|2i~81
zurCg^PU8RGW9w}d->@b9awMMt$8Xbx_g><oPt{QTSfj}aw#eT<|1%HQ_}_Wg|Cc{H
zM5S)zm`ecuafoj4+K!*xTp9|1@FtoTLm#yPf!g%+U{Ej6v@7J|$-uFCHDFzK;b?zG
zWEBpX-2o|@D3KLQ_fOp>lPUeW?y|Kw;0w<#DEcvSS-dTOAMh$05Rlk4Gcz-AsA^!2
zpl7Jyz-;6#ZryHKsMNoHc(Rh<*g6;%AXT#gu!Mu^IN24O@1~9H?d@0LXxd#xBJ^kt
zfP$+an6bHUTB07%HUQGw2K9k<byJwqe;?5@TTje+W*9s_63CWF0<l(1lcRv~Zm#15
zYB^BQ+1?!5(|DADAWT4kCPDJo1)O*|O%BY*8bTc<6w&|T$~581Fw(fsV7whicDI&w
zjlB#FuODt?dmlp}&!K2G|L-!;l#UUW!<xd5IgNmHIbt0HhiMQ5;2xvw&_9<eCdT9O
zd<#Yu^0c^^7iM^w5j5^&2$1E^oQ{P56f1$ssxxvJ1u^MS@7IsqVW|-W8Ub-Y-Q(Qu
zXh)#$J+P{I0@+5GD3{4lNzS^-TPmOTmlgbjgEtMXSAyK70G!v`cg&H0=*Vjs0tN3v
z*6$<_r-DWThlcjpNJkWG3}j>isc2V)Ds)=y+3utl-2_|+I~D!A<pw=LImqHpI)L{7
z+>Wek?=}<DkJM~Jrp^I~h=8I&m9lyvA>f&O1zt@}4FM_Xe1j=$6UMYrY<g*vA^S0g
zxnhCjLz>SF{?n`j!(aA*YQfYg8**)HYl9&9JN?hNkvEBTaY2mVwd%xf+>KFwc&?sx
z{^O}V+xcvJ#kW~^u5fskUi>(@B#iqkMC4P3vM<Y*1lFEW{*ws-$3hYVs;hOS@<xt+
zihcbM8Qb;cr9%8sFk!r0gMH5NlM^9fFw3@|A8AIO>t>DWcAx5pT;F8=E{UNxT78F)
zn}+a|rbS_eF7KKz>V4vAA9;-5cENHmJNEIJu+W+&Au92pucL?5PybvMnQ*lxbT#CT
zaq2{y8nim(!KK2bef@=&QXuCcpv(8ho7}$g1Vo1x+Z|C@SQ%3j6BC@N8(wg-3V9H=
z);(ZzG8`JHt9uZzEr?=o^U*8^`1!plGD3-V%EAjNsL`pTFg-yMSa=1<xFApaEJ6LX
ze%X-3%5dka7P&c`aa{Io4S}2J>WB$?!m_)^(NE&QAHOiOjn(?i^`iPIJQ)SKaZmvK
zTtsrxbKaf}TrlIjzE*-$g&-u+UeEt3+LJC!B1=aIVG2fvgUe`M7$i!Bv7yA&$_5&C
z^W-b}6=0o&$O^DtfpVNBpo|Ctx!X0(A;<YnTV8nlO5<`opW`Jd#fYRT2PvU7ezk~7
z?fbW_4dx~|dyCrib50sPS8bu%Qy>wuV)R*&CW{i5d$Fpee6D^`Y5ATvg=A&w66Pe9
zdl)w{;Bu3G&bQ=sU9!_y+t0!zu5s`{q(0}G5yB)?ThvhjT=rEH&aew1PeHY-YVZ87
z&BLLF-UZg`7vvC;Z}4Sddp>?l-JPX<4w(fN;A491-<^B*sIP2mh2isykcp}mx>!q5
z>!+uV`-_jBI*xnEn(_G^#eC7%ri<bhDhgQ-3K+*V3mDW`{aBNgI}6vYHPX`f?Yf=t
zKYocpnT7#3=$9Rv*1c<ehIwVnROMxKhCF@O^8|iO@3|%jo)_SliQ|ju8`|GoxQdwm
zK9+s`V8KKryv4W!8eqO@8%<<%v~(EwfXVR8h4kcPQJ@&+;9?bcs%C0@1odVvRFaad
z-15(JvJm8x)Q=z4Si6$n0lND%@K^>dSxBw5flqrp<Y>vcssj!Rd|rr6NXUX`ZD;|7
z=tve1fKN$g#6oZ{16E7KwBpb;NpvV8ncC>YU%&K@tUldnr07WPhqa0K*1X_a@f=LC
zdba^o&IF+gI;4R)L`Z>%q=Hv@vf{2rF^xL+U+;Zdf6MszFdUM|RLe=eYlNntpa-|X
zQG@TpCa~h9{0^pK&FE9V;OFVP+c>O${Si?kI`*G`gthq3b@;0w{%_VnxxDWJf}a|u
z^ssH!@A9(r{Wmj)gi>KWQ(+IJX&*(0#XU4$Z;Zr4kS7-z*4>n6{RiC{%Z9R&w>b=)
z2Ca+aBIEqkw9nYun#V+FEv|+y*<CKd&_1$BZpbuDlnhhW&|r+lT+S(dI6)XOc0W*U
z2SLQn9%I!bD9j`?)a2#SpK`x`S!LH-%y(;Rfpz&U4vji&nx}J{as26Ky4IX!S6>xh
zyP?vmYo}h&Ai`TLAF#E={a(Djj1GG|sN_>XUkidH{d}8z?C+{)@_$P5|N0*phZjyK
zjX`>=6OOnj4d@jOoWMXrW^KoVu8=PG$NaK?tyrXFMR()ZfyD>h@9`!kyj_~5A3O-F
z8S`@^qhV%Q@@-uN5F=wLH5uc`yepVvKU~|;aI4x!SmyqHTqc2dIe1{0M8$>BM>`sv
zdtCgNEV(uH`mBo@CfOc&*-Sj){k$({AZ}1hoO1KV4RKj=mAzkcPBERN6EEF{f<A63
zUG$};OKe4uoRFtHr+Y068LK1JtyVJjaTLF>r&M{eb!J0GBK7y<DUqLxPVO>?IXdX)
zxKg+Oa9djMUtAM|?~Wcx81fMo+~cAp&aP`NCeBP>b2abAKKj5_Xu;OL;N)Jge!Y8`
z1gGqx{#^O%t{D#G&ca03t<x@olyFM4xsx0Gd>n~qs5}lwyE-?;L?PXLLrN!G6&?-Z
z=XOvScB#*N<i{nbvSyjt8VCjP#mh;xL%>Bvhw_#|viF<NP=f864={eGB{~Kyx#6^w
zOnc0XFh^FMPy55VX0?xNYj#Rmb)fk$z_W<L9OgT3mJBU@Dxz+Oob8F~;HxucAHcXt
zhrtl`!QcNZgc@Q7X(nK88NpWxo3txYe)v$|E+DYyN>-gIKWJLxmp%vga_tF~hKg3;
zIF;y|MA(56o!Q!VI3tW8KX2r$+ur)S{5aW9mjC@nJ;ne0Bf1p-xek97#Q*=+Vbz%D
zo27M;CeN^of!Y9^VVR$fwaHT2N%Y)|0W(8of*V}84~N*Q!wk8p<9}V{ofJHm8%-0d
zJ_XtkUcqV=w$5Y}cqF!}&e;9kt&`et%7Ke$KoF{N0|0*MM6iHiUSB7ii*f7W0A_lD
zO1OM@?{5_Kt?%uNB4S9OgkIP7+~~67CEsA7X9>>w8~f-nJ!~M|_7Fx7V}#YtYX0>l
zkQwsh!=z}a|Hh3Q=G|Xn`U|ZroZuO#e}0nuB}8y+WYOonNRbM;<wF~N(Y(7-gSP>x
z{#lWuoe+3RMnrskCWO*IgZ*@Yh3v04-kA{lMkXpHg+6D3UaEB5{}!p%Fq{`Wfq~0l
zWMb+B8Ltaqo)CmX3Vtr{{kn&Ds^7j44wYizB%0|HGO}d5`|)tvT3?!`)w(DHj=(8q
z7ct!szoD4T#ZG?F_aSt=<{2|{bMsDY$gAcCI5nw6sCmg1a(k&-0hb%XR20cK%xO_A
zT~?-&xTC#2S;w1GSy+POXNTznP<?g`fTP&)#~bt1JP8`p2u%I)LxxLM=JT4`J3+dF
zdYAXZCj{`8dERq{jydpKcnYuYcqp1*K#(!o(F<dclzVf11H|RKcNO4ym~?V+pTOdU
z$4)jH=cRx6AO>N!c1Y+a!Luuc;OQ9e_#MrIri!&#;)Ol=Crj<kh*nBEqwcd!TrtSh
zZ4su-!-kv=W^<Ykyq*`*u&|r*%pku~O++}|mfYY2Jfh9~;EKfo>4FPs4cjA$Z|4wR
z5`vXiD^Oq$!tCtr$&}^br=S7mAtxNxN1u5FN<$BTWrx{c)CG`#G2{cqgIYw^8qyQx
zIyNu*`xI<#MPz0yoiu6c77PME@`MW~wnhkl+4qfZoe4-6-r(313_6_`!WQ+DEUT`O
z4gT$wnn->9lY~dY_3-cmiP#=&W_L(VcXo9!eN@(kJROo_h$+MI;cJjH$bNx?*F5&*
z6O;o%MjE6ro12>2!1vpLfLQ016=4ugsC!DZSiqZMI?jAv*Uhc;(xpq+rO=_)#DgXt
zqOZFOQc{R`3C?c}$R$4d5*YHNY$!D@4<N#`>|SCLl8o|l!Fek`G}uwskmzbI0&y3a
zgSH#-XK44SoK%#RXF-Qnw7Dm0_S!r_xq%-Z8=zwOy`UG+#*G{CJEZFnL78$YOBsH3
zAM@i!#E^CL^$y(>T8Q_s+`bSvu=q$(F|>)9T?dkTqncVDKYnDq`8x7-n3uwi1``WQ
zaFYewJJjj9q3rpRfh9PU&(mRA=*icay!Q5ogc^ib$M&@^W0mxdAzyB0ZOW1+LQY5_
z%wfo}=hPu@Ktupb>HUY6hpRY$?UZY|xGt^Zt1kI=QxBxt!OEl2(Y<^3*$0l4rN3T)
zB>flm-ZLo5tm^{B?2Ks~X9Ni{qnJ=IkOT=vut7ut$w5Uxa?a5(=!_!TB*`c_i-eYp
zgMxtM&}47~$vH{B>$J{$>sH<G-aq$Nef8Bx&D1-uHr-D@&pCUqz4qGc@ZuE{5JShK
zID@=L33DBL)acl9KK}j(D6pVYI6wG3ru^iD*S>}|4W$;Nu`G=<cx^3;v#Aezy%g1z
z6%`}tT28Wr@h>YYTkVyj!E4g=>I@;txcaFwyjL*^wJPcRl~q4C_s)=plF%nC>?mab
zvx_PV_IX-(Hn_uz>b;Y5Q<!Av3$g3?A<GS95kCs?c>$L10U$!MP`wnw|9uq9E@uT_
z*1uO?{^3J4=7bVa(j7#D1r)MnmIg}AD73HQ52xhHqc!uaLeI!t^ZPev<y_q%4dWRR
zI1AX=wESDneVB%j2-2?zv?^jf1cAL7Kk?VMYJLCDR|i-B&;8F>`!qyZ*UW-SKa=w8
zhrZhLD-y2H7Vnn}%?r*YvuF*EzcH}8`2NE7gxOnBx~(fK=l`;6F^;=1xUmtGN$ZZ*
zl@~|l*ac8IJa0?Q;gv{<B1HnzLkd7xC5M)m;wQnJUp>a=oZl)dzR~%@^6LQ0DkhKE
zvAOOU#|l%A-<|&vK*sq^{=ZpK@!z4a`JZtO-^#Ng+Z<E@vL@#=+O~!LidrP7iTdHu
zqepyE1?Aq}*I1|3_QH|wOzD~VSMNSOZM~2B1gY@nd+a(E8o{~y(+~Vy3j;f$@vM@>
zUU9GBiC?7hS{|C8WIvPg{$j#n;IqI$?yxH6X~FY>?WWs~1TC?07$A8ccX%uq#PcfH
z$0rhw!6-%WGhibrjh{=Q2YjPqVh-~ik1NxO%m2|^O(*xt=pFALz3&>E$YN;rxLfFI
zrkgufnQg}6<vw~;C}Rt{?{_5bx0%|ZMjNpf*%v_X-0gJ$Z}=B|a7)VrEwjY)VfwDx
zZ=W1T8l$!H$oZtK3#!<;vGS7Bh|ya5%}C7U9TZ>wsQweJl|zA^uZ=9*Wm7Xm@4I;N
zK=S*IX|2P+S=36=7-hxt60wh>j3PjD?yvGLBUPD+MZ@k#zrIMGR&n%V9avJ=)pKrI
z!*tqY^EP{o9j!6**v^4!4q6exj4k-?cebkngdLyW@TYc<JN@x;rmt_Q(t@5}*SP)N
znHNbf_vk%IO-#I`d*;b;UXRrs$To+{=yxmh6y$3Io}JYbo89N*e^^PYha1Bhp)t=I
z;e>L!5LDewZl-aolk9hx>dAGZF5RT@=tXE<5-+p>W1)@1wh5rmkWZt!5;2xTE*^Kg
z+gy3+x56IFZ&mR&cA2VArnH>KNgwbB=Da7Iw-POn5t{BT1#Sg37rtXqChp^+T{c-7
zP~dyu?;?n-hD?$O2k!VDnm_8<7or<7yFR}%({b8x3;W3{=<!rTcW49ATSUV5H*%LO
zA9J^Z)Pozt^N^G#K;m?f!BRq@&W&l&f~8@z44sm#5ee(Qy|cSy$(Xych?UN>u;r;3
zScF7CY8Zn_9u-VWQ6me`At|e@RI;_rgbnh}NxQm#fA8X-Ue@b~TN@M<$x^!=&Xb&p
ziIn6j@r6s!Ib6Z`E{3e87CKk7AP83=>9?Jo@u4?E^;@2D{i_A2>a839TvA~wnFn=6
z{m_0U_o(x?)|wr|qb2id;D8e#BN~LEi85wtHF*8W2jY%v+B95a%*Kz~zic@2?Tw#Q
z^?K6>eM<(f{ZXRxC#M&^T()IZ`0hR8cZHtgR{*PIp{CC9*u3lK=iajsUgEV<oGy_V
zCYB8mxdw5~6*aZMU9xM*n-xyvpR$oJXwB{z(!1Z|D}Jy3$nnx4Jtp^_^CoLyozq)K
z&{?_mvOH!T;w_6ZR;^i&j?raQ{*EwC^9cxuQ`U0W*YfS%@P;xE)e4<pUz!J(C%_1K
zh#xb+BU9v|F`1HBnUsLX&>Qk?F+R|rTC&@l%OOw8a~Gc^B#N%-fj=<5Arq6|_8NDn
z=LP_#$t^~(5kPy6L&W+bl^^=~CAe-WV-gnZL?nP7g<98N&$&Fdfk!)E^hzbH@=GoX
z{=2A-9NJ?wwi{-@@QKSNu5%n>j{IZxkpAqp?^@LkNd<-tu6gRh%1`uFF6fMl{QvpY
z3am4z&q<NxTLOdNWDqDu@Vr5hurVRHtkr^9_WK3LR*t#PLcg@}h!;kc$v6u1D=I0k
zN3sWbBLe?Wu^W2zPiWB28t%*QmX1YGG}cO3kL?rbar!#<5Cq{v7biJpqv9t#+mrT=
ztY|a4h=)0gYrh*X7`a%xgL&4IP=8GB4ZC)a;Rt}a`6ABcaC9sW@7ou3MmG;O;p;Pg
zOs)JfEiJWaubNbP@v~N{!Y^48-m92A@3anHdy!B-q{s5No-Nrw?pDE{R*j<E(oGvz
z`nFP;nD+1hj1G91|4aY9EE?OM3j%V!NO^V0<(M0--ytNE>-Dc2JFrj>3k$1a>ttif
zz^L67#!YvIA?h@;{<k>%O%K-!J9W`l&M=5=%wEDA%x)D7=+Qh)w|>86?~W9$>3|UP
z=&LqJG}UNWDo)quptcms7G}I8{Mm$K-T-Vr;q}5|?Q-G5AK0DIn1a^T)h+F}j>iy0
zHWWqzZp(||o%}O%&I7Hq6vvsNLn(Ci(aeSz)3tWZy8fk~%=^$<NU_LCNY0kt`rsVg
zd=e+@(QWN9KMAm^*qeRM_lNV|pRC5vUln*292%-MI0NnKogOk^ASv_>^76}L7^xA8
z!U%|Yl+>{-womuhNdc%{+YS5EFa#9luYThgA4|d{^14QFY86l%W4t5|YNi)qXsp<n
zD!U9ynu95`%xTXs?X}IhXUaUXY;$PG!~I24W4lqRJox*w;n5Dgv~}&@9z}S*=x(p*
zO93z8+!l*Ti))Q@&f*vqRl(;DG$sY1gpMJ;PlMBC!?uIyS<XYOY}0B&TUQ~7DW@2;
zbo=1wl{|T{!=rHvlRlsG+EFjpsl5>M%25@Sl%k>SVx^@l9+Hxj^r)%$#w~bOllujo
zZ$-!{T3Oc#3ZS|_u{JP2nGQK&RAl5@*rk^wU@DkZ)czG3)a>cTK^4(Z4fjEPT?6wJ
ze$<z*S{tgfueu>5p2+#(^m&%$t5*tKmsXcUu^Df(02S_9Kg`w3M+AKf>#Q%Z_bAll
ztS^CvgZWD{>Xcg2FIt;uLuL&rwME+`G-8%m<!K0gMW3D)ecG5+k?Szojf--gn=l;2
zjlyJ^ETK0Hp+`e9uFrF_Ysd84Jj`;=`DH<o4ZXQ4_)~-nMO+1u9Agdfbc+*Z7mSHh
zFgH#X7Rpmc4Blb7BK7HlV(2D2bn{sG^d3Wk<m2ZT4S^p{L6E(c*$F!)@D1opa#2ux
zZJqKe`V?y!cJNT{oMllQEqS1h`Lrg>?lEva>-~_*v990>xADkA82h(7JunDqR#{aQ
z9n%Uv!ND3PE|8pZQQ*ThoqtsgVH!@-#6OjUtf3`VH9Hfld`HpUS?#8C&iRI3+mIlI
z+O56C7st+_Ce{E#Aa4dqVG<OliksN;v{K+0mIzIRAvF3e(90vUz<_lMs<r|An{2DY
z7giNRrjDV4tAl%RBnEg<fSYvYYkG;#$3hnsg{pglNsb$D+qz9ViOrcKT;HuBRsEHj
z+35XWzYf&Jcwv;a*>K5XCUwEBa^zmid@}E}N5t<gtLpzitbx}N^K(C9;!AjsE5mmu
zf+XDXq0j$~f;d{eMX2ri_qcI-Z<_6}8b$xaU)LR{`hKSnG6>bW5qpiQH=2zUsyK$k
zUd<klAIYA_uw@2pVqiITf#hKahpb$!6ns0#9A4o2&{`CC5-%&DguM@nUSL~lLh_Gz
z0_+Fl{hTSd6Db89u*YpdtJ5#ry8k6g&)D>IMW8Oc(s8cG|C*LoGSqvdi2l7*1m4V^
zEXU8n&f_V4@EYhVEr*_8DYfuZiXm}=8j0{#-aB~+x_hcM<fM2)g;jEH^K~NASKmx~
zlt0X8`um1`VGzy%0TZ})Yz3|*agb`N!O3BH+{^7Y#G=rKJ|o)}XRoZ!TtM1=30e7n
zHb{Ucn~*dW9#;2~t57aOe8)v0&J<Xd^%#}Lbg2??Ooc**O-T&T)0@i$r+M6<Rm5fw
zmPu3;Vz<<1S?L3|f{Ho>_6tX0H1bu6MtuDEv2X@o8eCL7*CCYO2y-ATYQZP^JbfCD
z*mE2AQDiiCa`i&6h>bMF+c2%ENQavu<mT}5rNG-tT1KW0omFI`qoBDWrERS<A<IEE
zehJWlTA}BS9E~iHjHp4OBBaUdI=Ovls}8Dd$mj@UX<$Bma*ySyVmxL8*!kUA!J!$d
z1ef`Gdq=?gt>3?3QMap9No4ZR>J-=Mgp2&&AR7M($OQbkGT`#oEr_`nMT}el`0Sw&
z=m~f86z!z}<?OM)H~E5zB-DUPm6zM14#j4Zy=Qz*GS>G#ia=$MdNUmK_E56npJju4
z_8_AQBxKLD<1`dRANsA=w|_wl@h5%cJ-380?y;G*u>-OmY9#t5STy{Jf(?H>n`UKv
zi=W4&YcVCA1Ph7Gvfy0(@`{QE=$@y65yj<6HH{z7k6=CyQ9!DydbUoFw5x|XPhh_P
zuXLQ@K_(&5nU3W$0QHN@@Q0BVhvf=@n2dZ#LAKfXb{pTIpoIJP*WzTDtIC=-zPJ>g
zCA|Gs;cc%ZuFpJp`f1GTXV<Z}8xq=v5+}SQZg-^WNPVzetWyc*!DA;*NnF5E2ZwC`
zDF5K-Ik4$B_U)VO_r+mztHGxLPcj4gBJ62>HMjsGC`O^4;6X$IFZcM?H*|D*?`O*_
zu8^!wxszBa^>E=M!4+1@sgMi&%%bU3v_<It<}*t@%*@R6oTTZboMgCt#Us45WBwOJ
zpO-aW(RX(f?-gn3zsPVEZ0)#PIWdb%t%ok))!^8JFs&3?Sw$uH3ff+j9~ap!fzth8
zgQgMnmuC(}o{98W>?wj2kD^7ztZDs>w_wqd_}}2mZESl8MixJX7neW29k!(#t$=J_
zXZoWXMns+pot^a8Ryf8Imwhho&=DeZ)^c02@%8gF#FSOwDZ6B-t0RebG(K#eUa)*E
zilcVh8MBj%R$qBlUq|Ai?k?5y)6HdnkC!-!`tpYy%}*y@Yemej-YBK`onLalJzllT
z37_WZe|7H54Fu;iG+_*4M^<YO3uT+4lvGKMjop}S=IZL2)PwP_IE?<XO1S320zV#d
z)(@Y@`%n*TGqx(-=YNq3qJ6h*juWhUC~8@jx=jmfcNm6tA@>wovtVHxU*UL`%(x+E
zKm(JXo6;-GOZ(!^?A;4XCRUZ1DqqJ;;;~1q$DuZkbOrxx6Tu)vlYQ&L;6E38(QTo%
zb3mgL{$__r##io24O{F!K#hcEs~_^UtqH+5iaaP(a-)Wu(_$)z$H+MDz00zx1mM@|
z`fEmGR<rOk1^}t7;wI-b2b2E1>ayzoz3*M+cRr*}`%x^=25Rm3_EFauY@R+~mTQtl
zyD?aW__yifJu)#DkI;CgeB58#-<|ftrqj07gc=E<pDHwW-qw1dbR_LK?E=@|W1{Tg
zXORxy^rc>jl^^Q+ryW6Yi<3ZDyX{4?^?v>(m@*#h|G4E7<|$ZNWQV||Vo+H&Ogyjb
zm#w%^M|j%q3)yuc?^Y?5dvXUjPZwy_$e(6lQ0b{lI&|g;AO%1AXd)Rvquo!u5V^zv
z@ULagdWA2yb}lQ88VC<4n8`jS`)K?bchl$b+n8p<LyCe^#!EtZ_f9rsccLa^i`&mg
z{O*!ne;rPK%0(u=v++#gla3xfTnCdvWuxnK9E3p>E<a=~BV77%X<~%!1}*7@4Jj;$
z!7b$T(fC)XwHLnFHE1*>4AWpZNF02BAB0zjOGZ9+S|F)#QJY-=w%(c@Cc!?F178th
z@lLu9^ANf3ex2_nv3#;Sn`rRiEgQD;sFsFFJ2dHJ+(y}9NT^`WGZb^dxLuk6nf~pj
z${HHM1cT#90>N8iTasvkl2hw`dh+mbS34kLrNoLeF>pc)su2rl8kcW~svu*Tu^gHB
z&tq>j#3>vARJsf_l$_~`sX78m5ZYn@>k-72(9!~FGEf`!h*VBVs%eriVfwv*>IMS9
z1StXH_4pI|rY5XvG~^SK$k86^M-+LAs{>4%#sHcT))zEEF4d0Yh?^vwghU8|X)Fa5
z+Z;_ibrN04G6u@YYuWM+Vgr77EReS+FKj?AZ63DOG=IB}G}UnM(teb%FU!OQgJjA5
zC-JZo$E^|k4I&IvFeFE9*lm9rmkK~^{z07l-c*CKHpyC1z!&=gK`>#b23v-#<*^46
zimmxD08lG%&69l0@&er@5a;Nwzgo{K7}?RnQiEi;ne(kWD0vy)tjMw*w_zetk9C3W
zI;$oJ<941FKpG-M_Y?%A{cuoBd|inK6D9x#no=WhG+3ph?+T#5w7f5y_a8+MvxE2z
zULFXwKMPy;^BFdv0jlr+up?e96l@wEXXfR-YD*BXMWF|fba?^r{S1Lmc>Hl9^aB(K
zMS)XpG_}sc`LvPkZ=`hYzR$h|vZ1J!VjR!;s;Zt_SRLyLxCgdo%_md9>vWV;58Il5
zVqETTJ~+4RGN2?K_mf0^K#*NZXlvG;+a?x?GG>Em^g1TJ<IaD10DSPhTEsrvKEfzF
z-DAO|IbtX-9ZAWgJ-ea$_2k3^EWE`@fn{OQR<PSWYqQ%<60@#n!J<Wy`5W#3lb`nD
zKg{qE2?0-VOC>-&Opb6g7-#hf3Nlj3V!ER3Ay)&JnV`Z7XfASU-hZn^?!Pys8DTAX
z_!*=%r(?$LT=`mek7FpEU^~2~9NfphpWx0ig+-3-eMn5KeJGmA@1}hr=BvLJPJmmw
zZ9V>N;WN3f=!4jTt=S+NBG0%;e0s2rQ!tyHKuLbw_Z-_W3OcL-r(}r19*AsT-Zx#V
z#V}^edg9hYVtAO=Y}i(SSsF>9e>swy)K9C-Ae=+DYR!sWmWEBXdQ?>}UpD4X7(YLG
zZw~v9w&y1f53eqqT@+Gt;on;R?lI9Wa`e&nKXG@w{mduvL7G!Q`{P%U`%iu}UCpF|
zk2uPBvy(zxsQ8rYCO?|4XZr2#Mtepadw3js!ZxQJj1kkz-?&$q85qPN{qF%=O2K{C
z<d0{dwD7Bt?@ZW>>Ito3`e_}Y2KWsG<ap3hif}(j$*dfO^#UDtU>^k`>CHc%cPVZr
zAM3vTAMUMX4*#r63)=2Sjh-!M_BXZVV=A=VLygYX;00p8gf6;jQmdbjPam+hH<tnO
zEt-mdp7&;4_U-$*RNA{C$@?+27%e#c^`AXg`{0E7%SJm`0!TAxBn^$RctVw_Xu*e(
zEATtV$aK6EgbtXb2aE<c=~7Q&;I9v1d!ulc6Oh@O^8W}^ei8?hfsMoSN)#>jr+e*|
zFx>RB3OR-A@&A?Xzyn<8hm&H~l!M9coAEV^w?#z$7vVE89S5^H3rcg-kpuhpHyU)l
zetqJe`oEWyioX=vyLay^q%qgngYOi#U`+B(4{`zPcg_)=8dZ-Cxgcn^9eKdlbGB!D
zfxo70z`un(llyaBR3Je?Y%0s(35?p8tK62YuFqkL@Wgk{g^B5>G*Hk|o~$VIxhS>W
zrQYc1Sx3M8O@SYFAh<^rR4!dTJ;M)AfB%;n0o3rrQUr`c2020@3||YLDv6~aI_{V>
zrf8=iqhAZ4-oRj_P5z<pLI5Uyz42!UtwFHO!zDfuN3khjYP|-9qMGhfv(<1VEEo{V
zADvfVJWEiidb`B$(#=qo<Nd>2aZ1pGw*9b*!w_-}oPM{*fy2a9Rvn_E;bJpNoqGcq
z8Msdl=plPfsLlKy0h)LSkXEo*!(AFb;U`k)3Bcz@NJb5f?Eo7{KqT1tmSCCA&kQHP
z1EFkix-n-2GAB~cz#SXZCLs~9`)q(0j4*ZA0#R>Xxv4R4&d>>A_N`>NPQcWz;hHkx
zpHSsr+l|PW#=ceRI%`e##%s~4l^HW#Z9hHRp6g2ZWiqY~pPXwbFRS55*E4Pp5WI=x
zAm|XDC5ju1hov-zHvmZFEaG@aNgVTb-Iv(|JdP1i5y2XImBFP`-@X!yG4As`L;&%B
zyr~Uf0*kM_$pT;xs^lcp_=-5cr@G2@CQXFy^nXKR#SkkF>J$vX2uW+hTaY@wl5F_-
zKWtUqkzO??bJK^n3kQ46Pg;NagL&ZZO-CO~+Dv1npU6(ys!yO7B!H6|3AejjObzvJ
z1Wr1c2DfK~ao3hSCmOJL6o%|r)xL!n&w!H8HL%;Pe{pUD(N0`mm_cC)TihB_N#Qi6
zwRslK2NA%5rj*bE$5dN13Q2;Paeok6MDUymFakN(7^lIs@eh5f^q%o|*|73QZY4DV
zZ0a6?swWy591<lq*X{kfb+`r2shBs~lEPS$?!^PRL_#c+!OEZtr5G1-*FHXffy&4L
zEU`_C9ikdI7XPA8)kH;sBd54Qg(3=q$T#fB%>o&gNS-4qr9_41SU5-}bWhIVpp(OC
zK|de&{KRtAZf)*%{1NGoU!<Dmju#sadSh^6uLn8XD>jo+w79E)xZ|hP3eYtaQkJkO
z4pAI|wFlD)h&)VTJ$Bt4{MJA^PLBES%!O4GVo7(w{7cN1n2zjtIqiDolare{;jsv(
zLM3b-Un=z_Y3{Eq6s)KlHQNYp<EGOHKo8`npf%);y9`e=!w;#AQQ8E{VPgSc^7rv4
z;K5%b>JY3dtdMnLPc8<t)!h90%N772lWNZ*a>~>ib)95T0<q|eQ9+Odg||)(w<=?p
zw;s;oWZz1qIWR)NyGSf6ZkQ`zoKqf@TV5HaRTSWciUl1D{2UL7(T!m`Bq9`f7}-K6
z6H>sV(YhGF+e-?KFSUo*uKbur1+Yyn`waH(Ulxx1E?CVwHXxNqPXH{6f^HaUVA39O
z1kqqaWH>0FURCx^_QS#rzKm({L!S%i)vzA{fD(bvj-t_b^6fS()~_{!gE&hzFd=Sm
ze}!(l*^7p92h=sYTxnfQw}}&C-_rkRKHens6Xqb4%D;eOh(Mur8yoLT%*LcDhprSe
z42%aJyK&ZciIuuZ8WaxZL2j2)_Yv}#oKgv1A+>Cruw57`t%vn%!lmEU!>lGWZrK+u
zpc>9N<1H4nYs?i(lAKOCg|l;|0IShLYs45s1AIY5+(OQYO!m8T3E)6d+Z?ez!R6nl
zS5QeC9vK97rhy{=)j9+bR8mqhq*Xt%Y)OaK8X@8Jv^{ygvvsO%2dDN@?G)st%e47Z
zw66t$)`DhY$!S);(Btqljn?Qr3h30qVN<_!v+RwVu#%0PJXm|vAe29Cer$;T*rV-3
z{f{5}K3^F<mG~iXGToB1`2G8F=epB?Dn8<mqpz2+$k1Q@vN(6duTmi`+2(vPu;V@o
zUDHnUUKu%lLC~xt5&oQ_$6nF|$)Q?YzwX>=h{^wXIP8zcI)^Ny1=xrfR39b7oQEC=
znLxl?6d?@B*>#T74ay0+3@`of{39vEFt4wO-X1!zQ&_V7I6N`IHl!+mPYO9z9-wpz
za3LP+TKdu@Mc4%sGMi*A;u?Wj5zdV{Rf69+NN9Z(P%Zah(gMK0@5!l=YC=O|{vj5>
zKLAYUEFR`KJCX#vJ%}T4whWY;4{q__?s6j?V-uPH!FA{g#-sR@Ln}q?^{qc$CxbfC
z&)Z%5#^Q6l?!{^0ZHt(z4Tr)0HIx~Om`xt=4GT#UUor$DhJ+{tZ75(IDq`Ty=c{{Q
zpWgu961__0evC$MQ;VtTl}z8YJV3~_1a!T-9g$@5P5LmTeWwI$tNdsBwwJo74)64!
z(Lio5JakA!g;NWjiO|M@JE)4Ey}j!CeYh}$QVuDk^A0kXzfLQ>a;7e9SrPQ~?U0t8
z6gUuGO{r5?dbxwh|DZywF3dk7tQsSGTMkEoaK%!d>WKE3$F@O)a2E?s9{+dyxm9L(
z5<~l4-`t|L%FdZ5{5|NCb8w(R@;=%Mjy#eI=^cH6rH?218|bgD?&zgr_N`9h!)0k{
zL|ys%LC>i0LvXL1>ePuOqJzDu0}i$Cb{rlxK3gynXkl_*8se~|-Z(m&Op)}>Rs@@U
zq=4GO9fRV88VMhiJwpV@ox>P6j&|`TlqnL4mOScXn+gFsywlHQ54|q0M?zblahPRA
zxwID*GBC=9-EvqQXkATz<f~F_&WC*aSRfw=TV`!%i|d*&B!D+mIJ~-*ntQ=o2ja|H
zRG-m=!9TI3|Kr16a-KEl37k;s2%d!>WO=wr1-31mJXXJW@tvUs%z+?Hll(TJ9-BG}
zG|x#W#vA1c9FITxcm~5gXYn0wcCCQ;&F=A2pTbBwIbj7ym<(DEXVBL-(tAZ?jWJ;3
zi2t|w2iqu*X(I${av&H6&@W2NmCB_X(RmT!Ww5dfz#pcAe|b90KhbvV-ltL4qL3is
zkW6Y+tiUKVD~(`=6P@>`?B&aiXb6yc8*SfaV?kdZ9~?R%>j)46C0YuOQW5MsHWT<&
z>ICq!M_aUI_~5kT-kC!yaWOGvPJe&R(*F4L#ErlqRp#gIn*o+bMw!diU)P~Mx+i~b
zW3$4bEgi#5*Ifvy9Jzi&oCKJ8NC)i)iSGw#FB1F+4^+j4*-<(IBYKa{6#eztJSwkF
z`)gQI?zJcfxS2QO!SP=&bXTLTbbHHjQBWFC0}gups|7Iey^^vYJ_LUB!G<;4M6c|#
zPZ$EdOvm0!zxn>Jr!NpR`0jaR;7r|we_0R+4SyeuJ-T;LfII>siFI)Xa3)VNezU31
zfZcAz8E~qsJ4d9qjMCAyFf8*qM2co|u<+XTGWlq<g4f-onxfhpdG!+8&anv2rHeR#
zs0Omabo=p}As8h<YUH1a+^GC2>k8KSf1wy1vRt~8;kLWuI(L<feBFVo<ZFL$xJUN1
z4hOZHw`pJJvr(hAV(zj>a@-?{pQn9GD*HAb`YNnY_rX44+%fMAw4;(Zm{xJESh31H
zw<B1S45Q<$i=2VzZTbe84==F3&FHfl_D`|4dn%R~^K$4pH+zkQ9LH9vE-_h?l$vMP
zi!-(#V#rb-KYFBqRUgS$)xRY~CRzMuzfH}sZP0|%<7mt;_{I%%p4bwQJ)*H=K<#nV
zZ0v5Yn8wNam0WkLP6q#eqbi6^nlU*+#)SuS&Cr9MCS@MNPYb3$fx;pofK(>zJZUVU
z5kX*JHV%wotCuVQXNB_xw16?{aqbg8Oqr$uFi0mbP{_FX^#$sHwZv~L;rXxxJ7&Hk
zCv8r<0PnK>b?_B!8?uoJIfljsq2hmf#rB>-#YZ3_uX7QF?-UgS6!Jae^T8W@0TW(m
zE&Orwe1Z6My@DfZ3u4ersf9Id0#uW^#f}vs2Rv^M%;p;l20<d=psTMx2q;S@>KLHs
z=gpDmi5f&eh)h^6atu$%YONK;b#SZvF-sOzdnDftbJ++xlD!^i^kR5JLqkJH9q0Tg
z!n*a@XyWIL5b-3H0N5-|u3K_x(MWzST#Pv3yWx~1?Ude=njXv2U%Od!`qe~XET&j)
z<%OYm_20Ut?L{-hXD^&Rs~YezOz{H?WbnFY=8wg_JezvLD6+hVs*VRs21-%}^@3yc
z3oK};#*Cyn_u~McyTN1xWuD*fZkl;Vids9$g<rz1Oc(hUoAVUcZjeUtn-Lo0Yj*h$
zt025n{n(X`0=ILaMc>;I(>V1KFtZUtiD{IV8sq?1(>I^iBiFE=2(uv#+$&eY@ur4|
zEu<g86*BkNGML>6`2O}uNz7lpz5p{{8SrQN4aH$*_IVv@5)Tvmi)!lY>z@vy>6Q*2
z`swWNh8w@_%AMTmKMI7u7VkZyD=C*{c)p;xq=bk?TCyfT(tfVW|3TxJUWm8kaTiJF
zmHQ>N0c`0Z(EIj*I#1QH3HqmSh4Kj+_j94voo;S=iY8#tSgX%6@M%|X7-#m2z5PoI
z^k0_iuaVXp?Bpr>rj@Q^U2jE(wG~vFVAGWcF$6acPXpLAg5n^#rI5)2Txon;SDvNb
zcHWhP)#ONURFPlPVB_<&r~Vh8xi$GdK0dEnf8}L-jgLxUli?U-`qS)u!Iz$%Z_T()
z>pIyCkN1qr7wbwA9Zg=Ti?Wg>TIB3bu6^Jn#wf)II(JRI8M0&Of!C;QWL*2=qSc>J
z-=v@E`D*qP=fGg=v<+-b*7+Uwnn_{z`(u8;)c;%i<8#;wyuQJK=fLom8j0C<k36|!
zs2(=W+aq>d7kQlRe6Qs(>0_le^ol-=^q3jMW3>hdlM&%tB7Tq%L&r!g^~(v2=r;-*
z{8G0@YlXf)(#p!T45mcu&Ncy#HW+BPuB6)a-mvtw$uBHuXi%^H!J5fe_NDRJo4;_a
z&l<mb`*i)8Rom^(uQ$Kd_UkWqU+%qEbHk$8VyDK9^+lF%!^0yqwlhCG`-^U;;^VE{
z>N{UgsoAV_MIVrjPqU6!5N-&on(TfNE7B`gKpV(yZ|HO!6pNC7B0BMbs}wDltjf>G
z2$e{?{#<Mtn}|58>Es3u>nl{_nUAG774sm)vg^(UQ&UP&8z_o%G`a>mj{~<9yulo)
zErXAE)iaL(1dQ+JG^-FPKvrF;c6q>It3vG#>Ri-A9tia`?8R_~996@zbl+TsnQL09
zO`=7ks(wT8RbeP-xJprWKhS(|yW)OM#nNAk(Yx(j2BtOmTW(k0OHCK9GRjb^2<n)M
zhDRV5B4#-}%EQ1V@S_)8iu0+2(*^B#rbUHVUw{Ipf%<vTx-#gtl)~e>i2hMeg7%Uj
zY>i*s*fcOZHFXR1hXdSJ!n)(+_zig!UBCx-V+U3OM{2^S?uiI@l>8wwFM|%QM7m@H
zdJ=wcB-6Wo{WrkTws;9bE4uFq5HM1rdIk+=iyO^!`ncQSZRe^Vi2LA_rsIHzeXj!E
z5VkuXU-!$eDfSnr-ETfWDF@>67<NPBXg{T6d4{GBu7nb*<~0T2S|y`3LEY{j@)h;y
zf`(&%)Et@yC#^q9M^SOQXs?gLWy*xa4Xp{q+w*pAvv!ow?BCk1DQgPw2icpOA1hc{
z8lCKyb8~D`p3TY0;X@0XORj>N5AM(-Nv^G~&Ku_z9w0Xl;|`+#SXo1-)01T8GI*uc
z#l<B+!p-&a$xrvWN?`?e(s)6DFBT~4p9(cw9R;r(@t{c!(XU<i49v{roSdA_@pflt
z)&y^0`wSJwW&DBGT$!?|rC5ZE7HOLIW)CKppV`3SQ+N3k59I``F`Y-9I%Osl?Q_4V
zsmKWhTIr;_uy3*{_|Q_UF-((>1N_<t;f>KmvR$50-*SeT*`WqQ0oVh7xVvtXWSbsX
z*3w=2!B;0!aVy@weY?FtBo&9(d<nLyECu1uhXwSa+szZ(?h9&2P8Xt?a=)=v{A(9i
zDc)h?nV0je`e6-db0~tt>a@JPye#zOg;;j(HiuH8g`S^TxisoJn`4F8&_f;s&?~*U
zcMa#)!dKH5=x@*?v&35Uw9h52w~*eOBW+o#x%L+Mi#<nsVY8T&)fs4R?+N9L7^w@;
ziCWAZ_cUW4w}<j$>7f^RcZazTQsUHd-W=nQ67lIcxt{k&UB_Q7bc{c->$VD8&=5y_
z=tW^+UDjg>>CFVT2w#drg^{Fa<(J)d=Oh<26cZXMv^cXvC9QTFf9UGEKEJRa)lgL<
znzBu7>dIyK`di!DenCTU=G7+V{IBniR;ucU_*zv8A2<+feip6i37ZzyimX&&mqc22
zRoC#)(4{O5t<i$a%uLbAfU1wc9iqQ%MBm|53A@#$yz=Jok&zJ%>zWG=y{9?@pghzE
z2F0{aDVU>RsG&r|=056AG*`LW_QelJ0NFow9yZc0$3%Vrhi%jEJUl$j;0Go{XLApr
zK<|C9(~Ue8!A>xgRP^=_KslrUUw7enK~UVG=xz46ui46ysW;-mZu#N&EZp)5vy~Y$
z;V;j1P9T@0XJka><%uD0mUk{zbatci{K!LVlb<}?384M~Xd?`i1Ygc@raJE63?k6t
zXNhH<oxB>)@yyb`SRBpnd#T|xoWb}yz2dW3hy2U?M@FE)u|i1l@5V5PTJN5#xbC@H
z|9l^EK_R2g`nIS=e9C)<U{){OAL(s5m_+-cTIJaI%0)U#9=9Tw7@P|ar`Mgp9l#55
z8W~Y&d_)GXX|pWnahNOD7RP3*r5xzN%Rj1jO!yhYDF!>KYP%FWLlHdp?tpkI%1V4U
zY|UVL{!B)|3Ei?QuQKCgTucWngl?r*y$@7<iTA}b>*)U6*vbftaaBfcZY!^%_BU#r
zG&LdZ^2xi*xxXoESX`*kRUC9NH8zMc3}MbUF*ECo?9Psg+DEjhe0C#kxSI`WJ{A!%
zG5YrgtJ9qqeY(e`GOt|FNpLJ)7bosCdt=sj_kxUcSknYwAx<PnR;<ji4#|-b(hRGO
z(l$PQM(6s<J$d1|h`~0^`GL7ZJoA(_KgJi7vB^=kI!ueq(wwI_O1;ZjuUuWaCO%$O
z`XtA+M#oP&>V<aWnl)=wf!245xl+@UmMJY^xsH!G?T&1=-u<-0qyrl<q&%N$IU2Gh
zHg<VF(?MbW)L@QYNAYvqkm{gm0cQPX>TYLC)yoSFfAhGurH&<5{xC;l=6wC$tF@-)
zxb^!f@atQ0m@54y;!ZL5D9dCn&hhOOPp{fESrC?5Co;>qP&cY;emHk)$!+K1eMjZ&
z)E8bYjA-R^S-CAuuD_<Jons?gDUpABMr2ky|La?gnS~8(_!@bRz3rA0yXzWrDv$t$
zjFp-i6XoN&|2z<SvAobt|L+~W0@=ZyuMHQ{6nO0Pk^5q0oJat}xuGGz$f70a5bPgy
zL!te}#LP)Of1!PJt7iJ26=|r>dN8v15$EfsA*Kmt2YU!3$dIRm2P$D98@=Ah&+7Gv
z48L=~jCM=c{O>)M!X)ikg-!+!0b$=IGfCmejn0o?*_P!{#MbdtJ}$jxK`Egj*x^e6
zG^m;$yz^_PErCe%VHQ+2)I8{FzCPmWtotm-sJ&EP5F_1l;cc0<>~D~y)Qi<#{zz-;
zrDw-1B$cIb9kqh&Zl_+O;QQ*<)*#Z@oU63UPor>(6wZG=MDihj6dLvw&0vBiJ7)9k
zB4*>15*%i8Izzxf3UsTT;io-$@&qv~ci>uzq4gpDX9z;%_nKI-YZku<6*NbZE#->+
z^5p6Trs)HWzrFrZY^-pNC+{i`13#<UpTB8p)?J(3m1_pU2;Z?|S4Q<n_|K*>`jS^}
z*=)0i@7l!F>?}P;^;`F_u&!RLD@4r677?=!SC6f|rM<JU(GNi_Mv=P*J6~E`yR%wn
z1H1WYkyEDzH5r}J(+UYrg$ocnA49$n9*B*gasm35Dd$i4zAzV}#5WicTodd(QJOXP
zC8(~wJp_$xr4J1C%c~y-c8_h{y7f!cQ5S=qJZe5`wx0ZrL_9V12b|H0+`1@-=AgO@
zhGzSu#MigmPM~v#n_6&DU0pp-hS4LvEsgJzl06XrB5D^&G$}hql9M!edu6oe<sr`x
zJvH)X?__UP6+}APqg33<>l*Rt)-iSyL2R1E#RdUQeLph&7&o$N6x@!8wG)mhVryG=
zsB-G49yW9S%*K!j#rpdtZ@%=rp^ux1<s3c^0>0uE181=`JNiNY@^dt|sR+)79HP@^
zv6GIfm0XhDdV0KJDQ2m~sE_EYVRbd^NYhTe`M!F1W@g6GpEL_UUj|q!EIb`i&UAfK
zEbif7%DH<;P@;C19Zva3IS`WGG0c2K<(RQHULAgUdFny>;(|V_=6lIF=f1XEK_im>
ztFD~H<#aBM*lk;v>ozIm=1uM(gu!kVCJ+Kv219ytZe@k$wm_TaC5fdtsrIzn#D^kJ
zUY*aI11&ZmW96AP9ea9iYpId;LJL<Z5+>F&a}ST11K5bX(H`g)DzI4np)C@JA&fKn
zEYFsgm$^zwREBV(=iB=-g&Q=utT&5OECWmq0B<SMiIq>~B6l7Pj8vOGG6>F<ID@sD
zSI%fl-&V5;dmAKblbTM1DiVvIwpjr?KY7y*Ud0N$e=oFht|B5L#V;BCGWTe*oQ-^>
zqjHCIkCv0p7*3VkgV9X$<q7`+E=nj8tsZpjm7oPm2FCDZnV4kFKCbS_K%?RilC0ef
zz6_7WN%9x&7B?>W-6sFVbbZL=*{)oI>j{8md^adE^7n0JEYa%v;v-#2N(os5@d*>9
za;_&Z$VeCQN*ecC`RX+XB;vy*+#76F+me0Zgg$vY_rKY^`7>f-4nSOB?>gZfW^CSy
zSlg2pwq#801`4Xc_bYjcnG?J=ns2|+Sbo2(8S9UBz$ev<C}}|e4WG;V=hqaLY!?tm
zPcD4Z*~^kO3NZ9Y!>U4nLM1z5Wp-t`lihjjEpoH~trK7If$64iJ%2&1_B9<uf_aX1
z^i9{@?fN6h#{n>3v;t!3e|rGMaX^W9v_cPnBt*PIuvCz3IcHKLBKB4}R9a0m(((n!
zrt{D|ciRL&6XKcc1TiRb`(CBfgawQ#Db78I>pD8bt+zzg1R`>@w6;zXG0kP)hN?yl
zHsg!92sYC<H~MB^ANj!4UpgwVHO1v>1|$XP9X;d@e6B~_^&=e;1l3O>URySAjw~o}
zYbwak&tF`gEvOR8ANRx!J0Qhwaen=V4fJLjLJ^n(XM8v99`(-o#@NBuVAjk?fee#m
zfu(j<lZuSD9*ATvV9GsA?X0bhYx5DAY#3AYEM9nz$+z2Fj{)K+lP|NKwt$95s9{DR
z{=p6DDfjO^tUV`9?Z)z3er3j;g6!u&A^0X2l|yHuYHpCin$suNuQIc<o2?$skhsBW
z5a)r*ebI_WY?2*$T7@U40E!NHiB4Rs1gzR#a4mRq)nP1s=)8k>$cY{&0K=OrY@w~!
za73Bg*AgL84;4;PeuXG&MA8kJtWO?n@<~c*s0;+sw}xkCZ^%WNSzSHsscLy+cvk_$
zTgl%)i60q|s}!Z%z}4ZEY<eCqWdhxvCnwL@RS4>b*fhpIx$4DAlt#f&36Z?RcjNE-
zqVP|xiUGg|9^N59<78+5i1Fmmy-!Z=LAj%uot-^FAQIYogq;ixTzH(mezX{Vu1U0L
zz)NzN81)uJ3%fE$#!w9lrJK09xh2C-KX*`bv<%xUBsn?xQizBEv`jaN1R!O0t_2(&
z7E36pG{HqzE+GGrmuPBg3PT?@sl76-JvfwhDC2EoJeK<L5_Uf8g$-DM>uD>qZY#4d
zTFo5mf(A6nWXiG1MU-%501MCj^M-T-ARu_op&w+DS&FqXiRB>*h053G95H@)s@vSY
z7Qyyia(P;NMW6tP0!kh4oRRFq1PYQ{tc!Cnie`4<Cj9<@ohp>qFFS{8^9KoY3p`>L
zWMUKBR>ro$dQYw5`kO}9+@O}mmW6FdT<UiA!<$N7z7}y-;wy!MDLRP5f==U{LSIsf
zBBrXLPAb3&3uf<nZ&iq7LkN5gz=-DjX_NK`;Dt1dHMQA)_H<}S(DJQv{=z4)Ks)~Z
z4iHRKSy{<dO70X+Gargu)1dP56BGlL>zFm3asm8GYmNV<T+hfn*Mk|El1mtd3{vgI
zXi8&htGQfD@SoS-r3%6qsf$xF5**X1k_tu4`D1@*K(s)<5JCR%#f?FA3CpmozL$?`
z>2&{dTZOsMzGP|X1?61@EshW1Ne{x}Wo>P3ZeM9fM@LJD5qpvL#~l6BR9d6cr;(OV
zB1#bSO%;XA@to0C<%EXC2JNMWD>+pzBUV;W>-Q2Z3joH0d5~jwt!-?29`jX_vZSD+
zWqCejMI<KJQkul`NL&z_O<8EcdUHYhs0S&MNcwPe{d)BT>;^2FEHq!JTp-6wp|A|V
z44QpY%<qt;S#{ukZB?g!dR@-j+WqJ?Nj9SG_}odZQiLHPhfWfX$&?$R0YoU4#k=$q
z?G`W>!$m<-2{V~Ul~gYRRXjoB1fHG?K_>pW-TV4c3?jn`wi<imoI~LiTyG$GFE$*G
zT<wZRfDyI3b9uP)HL9}cq$D2DBODwY%~<!OV%7!M&vxze?H08i@+n7;t#oaWc#fsT
ziz+Ftwxva+K8Bt*VlxK|wjeI@92(VI!3up@EH7A;A-N5BC@L+Dk0fCfM>H;qX?B0K
z%}n$2mg`0W`}KzhwPv$lL^0zu(9~e_zkeuN-O-$;-y60v7xrLzg`lCW5{qN02ML&D
z(KpSX`@+R$cYGE-QrFvg4VGEK*s-|~0}<jPId`IL%a>otL-RJ)D$I!!ScD$(Qj~lt
zsn;$&KlVZ|2uFDjdUGNE(mY1gt)7vdrAvLrlMCu>z-X!zc`Kgwj1T~8fl+NIS)JSa
zb!JlE9f}ENP&9z{tq)t-tv((n9GAEEWf6nKGF%r^aex5x=N3$$2^lU33??PJ{GNsj
z6qn+#sb4?ae&YcLm8)RBAw}|Pf1jZWpVN#E=R(t~O?Q))%w(CIupqY$+kHG<5{Y|1
z3J5m=6nbK%cV#gQ;KGe%e6{JILRDty2-b0>l=#H6+_687ek4TGe0@WMFIN`2FZ3L8
z+Nj3lvH;&-aL>zV7WljI)}`JMiG}8>O1H%lw@4aIh{TWyq<((f3@=NJ!s?MQ0f6v&
zVI;>(mq6^olXVC(Tn0u)tzDVg=&3(wROet}`GB<joTP4TtZ^$$FPV<*Q8#)rjt10|
z><-zaPh@*gvGzCT{MOX6f@I}=tFM6a8iJ=DyMhHxM%6)ZQOB5v&@EcKEt^{F47h~m
zzQDoe#umbu=mNnCV>rPIV|@BJj$&|Ff%KriEV1R}ANxfX8JRh^YaJmSNKLh+osN*)
zE7~g@fc#CUAW_^ow(-M^!P6j}iuav#EnZ75qm(Q)UjMX`-A>&FFu{3^sM!-}lw6A7
zPwQBsv+GQBmqsMpDHy5n?U;uAj>Y!OE439@(1+Vv?T{!y9cWMyXBZ_DbHUg5IDkq#
zK*&tX7CU2chE~wtmp$05L?txA9O}6M1U_f9yFcRCn-lyAS!zkqDJf>&E%(M>A~&EP
z_Y`QP&~ZO*_33luIU?rZ^tOl=H+V`Dl8)Maf5+tyg@uI=Tg7n(4uuNS95cldR@p72
ze4%#31eU{QAtWTE851CuI0WenDdtFI+>CkzjG2K7!wZPo4cXMkt5O`k`l6qAonuy$
zp^}{DZFFxu99PmJ!)x4U#E?Nw+g6|1u&-1kO<CwYD%D_o;8Bu=u2id)Lp}?fh!Rc8
zB~do%M#Tj>Z&o*zlyh<Asapa3KtaCbNXX32$?+zEHx^9Uf|Q!tX9%S`hgu|GzrZF}
znsv7ueqVsoo3uv1kf_$k*lAQ$I6Czv0LF|^LG5+{i}<iyEK#^vWo_=>hH8{tP+{$J
zFwC6zRaxV>@s=*=fzhNFBln*Kf)@)AOst4w3esTtYl+0xijB#N+=RHhEZpP6Rf=tw
zc{Rf`I!Pccn2?=;RlR|9P&t>&3BY`@DN_u0ey*uR+|TXn1GlEw7D=6RNMVV%JtU`Z
zYwxHQ5y0g#P1|DH<p2dLx>u^h?AFz1guC3=!0V(I`)X0D!Xz1IrE`@cRMl39G)6a?
z&-cfW3}X)dD}dm@X1yR2d2V0)a{?IVQjj2zez1iklC3~`6{%5ZdBY|Sh~Ob0>u@^=
z%>;ZwQo;<ru5<TZ&gR%`$-2f<pcA=DNv|QDMvKYF5EvdFJ~vkrXe7h~-kelV;KqQ~
zY@2R8aK`&pkOf=eA|jPe9)sY1a11?%wJB6m)RNnjw~aiFV=pyroA*H;CPxBuBF;BS
zYf<C7H$&)A5#~9yd}oJ$OWZ2^Vm`salR;|dkWMh$?2pfshzYS(Bh?i`G2CtR(O#ZI
zH4vz7nziq!+g$mB7LpV!(X0PL2)9sR$7l`Sn4Fwb5GXLV7lAa$i)`2GZnr?3tVSMf
z?o38X1tfbXPM&;@(&oiJaT$;YWA`|_ArQDp>SI4YKO|CK;ZOH>SR!QfYK}T8i-lGO
z3M#T0SEvoPcadRyc8ho0g(pAqSrMR$Q9EI1o+p8u#ZL{VqgbcAeF(8_iR;)$?!)Jg
z`r?xT>@HI^S?G&f;?%sP$**MlLnVLf-tb3g9o{`11p{kKeLV2@t?Bq1gl!>Iqw|PW
zSnKsu*py&&wY=%MUj%{_dog-=g_gNhq%WLQK6}MGT3P}X<irGGLLCh&O6bgQ#Idgi
z#b&@zHs-8&7~V^|h9C!$J2_3Mw0Jq3qVb&YAx+M32Dn8YDGn_XGP5sY!#WyhaYYf1
z&PV{Boo?SteJ0N<v-?=_a;6`(qUQe90<aQ7fy4n4zER94jSP2!v?R}797sAQ>O$^n
z{>$z9V;yM0O`HCVU%&31hulVbB_XpYq-`n=g9+(Cp{@^3gRr#&jl6}oNu4tONLyo+
zF>xZOnx#=`29-}XO`Y3!0+WTWM}}8F_89%9&i|!eucB*sV1P9{Tn$8wh}X8wn-{C@
zs11s%vbZN*GBBrzC>>#`)0s*#l$)rh|05D+d$r0j-e-TLS&)#Y>H>e`AG1p$F1}^Y
zGeGMITL12^Hu`L!-)ts0)TFhgWD3SVg^fmO@^rFL+-ZLBY1k^Jm82xpdxhzjGZ{iX
z9jzr(Ki$h)vC0wkC^0Z--mk+}UUQKqzI<D0+g4-yqSf}jR<o2AR!v}x>Vx0Q>w^cs
z(MzY#{P3+b{Zabc=+l)eK{n4wT(~}XZMcJ1_{)7s|5S_p)&kk9-Ov6!26E?gT3}nq
zKyU<kL!FC^-;yP)5OR$t?;3ZWaMM+zq(Ded->h9rL)n<;MYn{2pPoRfYZjE7^573x
zHP<t#pKf2>K_Fnz^jFqzlV9$hX`c>d;B`z)#=e3^>qkLasHKQ7{-Ei6(63|QY%-_g
z8M1D7Sw)(Fy+NX9mb+%!L0{=ZVtEBo@;ZO*+AE+f=W+z&#(t5dCAvxC$$WyFk{cb=
z3|~&BD{>1gje3n&m*8)0=9@0LnARJ;nNjIvH9VL-F0wPIU*OWB)>`)@Uw7IM2vx?&
z=7a5e1~M|->an4znIJi%7t@!O=AB-rpP8;#N2Ks!P0=?~R#p-W4^6E`+NKE1zj>J_
z=CUPL|H!4_lgC2@=9{K;QtfOUIgPHIv1!CS;H3WG>HX1e4r_j7U9;EoeZKGTt|1ff
z(%}gShkHhB7Md>IId5lYml@O~FqCg1-LU?ef*W4PV?fgAu^WHylrU9SZ`~>JMJ0gW
zK)y)3B()LgWLQMxK|4*>Cj3l8edk3tt4sE`%Dp^OYnz+1-cF{=8~E8-GV#O4Wk)RX
zNWSxu!8yLX?W&lEo0wWoR;hV@v-os|TGE`Ol2VH4X#t&xf`S4)&J7C-Y*#9p`uh7R
z+MeP{2^BlC3BeN;Gn?vmA#mRl7K0<1Q&W*`?vBN0QEfUJPNmvh|E=O@Hyj5e;_LT?
z^HKSR^|&lc-85&eHx{E-#b<HpS7KYiWp;G%ti+WRo}Rpa4@8gYhru`dh_={Zm}B|s
zv^~osPZl<vC;*Imz5T$0nO6juUX8EKl?^Ab!)$4CcToQ$$)%;GIPs){sO9D8ANEq~
zoyBDC-IJ{=c~;phA63im!p_2S5tkJ8=UKdB*=Amawa+Zxo!02kB6zZif0bF3d|Y!0
zxP629lOz^zS$uLN8?3=p#%8zo^Fe)U(mWl)_;xmi_K2N4+4Ph(uz$_`ojZ3tL?5Wj
z<J-=M&RmWTI6MEW_#aSoo=K15uIg|w2`cmTxH4Ak=kLZv;o;xs9oFq*5W`IW58Lni
zKDf)+YfMbP5Mvnp{O?=*Pr4V1MiHBuSdVCC^OKhIB(nY<v`ysvj;K;`*o+{Y4nBbH
zDkB||2-AfF5_1&HG~JyxC4F&5DKLGUEDHB=gSHL1<^D$rk6uu@MEbYT>3Fo67i}R8
z{>qb|Nn20Wv_LIM&)nSnUMu-6CgXSu&M_={9P4)q@`&3&;$GHvb}{I&p_#6le)}q;
zH;7zHs(HdV+SHdY+9Aq$1J`U48P+E(qs2?CxljpJlIj!q;V`K+zd<y__Y)W_3ASle
zrBDwizqxsj&w?HkrQ0UaKtBI;2!%uFI{Jt*6ZI#4gwE#Hy##_$n7+c8ZVRH*IT|_O
zS%uLRDK!7=x}{?aDFeN^0H%x}u01wj%b>w?I+sidHjW0~!jxqdz{Ui`XcE}fTHowI
zKR<N06Pur(w?sj+j{?SK)<j7i10Y@1!vG#!gbQ>9PoxKhw=h5=n6UhgB`{N*U%*eD
zt0;kHF%X*2WV@Ao`9lq|N1YPtYigd=*8M$WC?z$|s#v8GJALEt>+0(3S+A6<+%_<v
zNO_9S_?O4kH|0MB@v4wqQ=-TE2;gb(@%t$|!RY75uW<VsK6zhzT76CYE;iJFdYtM?
zJ|xE8HZqbK)N?+qzLvZ^_X&rK*p~R{Wi-?U2hYva7@C-H*yd~(@F}n0+llbWHo<O6
z!7Br*#TVJ!IPwx$6=jz^r<^Q?Q{}BaSqGV3Wd-)qEJChv`vyZiq5Aq3g-B*di5Fo=
z`r)LV;*Bpy?jA@Hn2nTSekjmwx!0|daCnnd5)y#&#g46WC<Q|ZJ1W4rkWet6K$_fx
z?F9vhsz2=5AKBJ`G*$NQPuU%0RauKAxlwA-&qR1NGBT<VPrhwp5=c)4L-}tiJnP7&
zD3|BSzjK3QYh5Qv9e81j(NyZ_pO%ttsx?V6Qc@)%y$00i`I(Opt=0)x*mEA>zgl>z
zR;7)K+bZ<+#-hsYXm?sfM8v0*&niJDEpBFuc(_$JH>bTu`qP$?k*T1++ODIMh;FgT
zn5d@H4-!mGY8&m1VwDnv(S#v5?gR+iN_2Gi2Qm#S5`p2$%C%-*4}n@0hEy=k{L|ly
znDwoMM*NMiE(3CWe(XML0LVyoBVq0;FmqtpVi4omd?XBJiiBqShyi@UJ|qiuxqN2p
zJo(R&cA)S>C?8cuQ{x--0{EWe@ON$`P`hiB&Pz#ZNsZ28hw~~<96hm%g(bGR<jx(v
zfQaC!nHjxsNzNeGBQq(|X&;5y4379YIt6|CF$z8C{)CzmzdLvM%NH9vIyw{sosT4I
zWSuz7U9^xE|EKFwC2rp>`Bl3%B_$>G4>=nO>VY1dpU+&hyR?2okS?zanAW<dbPE|W
z3*WNvpuiua!8Z5e;|iV?-`rbVtkOR^+S%oRv7mQ6id&eBMOTfgHQvu5w8{xoHCPe5
z3=DR)N_?J0+&H3^eh@;TcaF4Eq>y$t*6BD#<FDa-jYtwVvw3B}AdW^e`1@gZ9DS-E
zQ-jFO0Dw7Oj4X|mJVo!*;q!ctuhHGFV-YS?F`+L96ygw?xn*;tYW`ypq~#7)m!U+(
z!2PkD21f+F@zN<Dj{<Fj=tAAd)RT<}HgIhtS-HOY(ke5gWe6F0@To##atp6?MIXP{
zn|F8BDb99hc2ByRcIj-3vC)GZQcr%V49U6BC<flh)t?J;irtesj4)L3eshQDuOkqH
z&N0|q!ap!%4j2AzhdFOm7KGc>TlLHqj5Sf5Vj*$QZrI!oF@%sLS(HyBsE(eJb{j<1
zGa_CXd^<wCG$x@v7Ms5IWhDiTC>(kCku)>7N=dJJ2(5si&Rrx3Uf0+)%V$r<dQK4u
zwKo@O4m}Z@Y1&R(igBBd5e4bB+g2O2A23HnMhuoCYWJsbn0egvMSNk%o3HYuj!(n4
z_1gSqn>}4ANr~=s{E=+lKej-X&`rKPqVeV!X%|2?)Cn2>0YX-ULg><qE3Ckju{^gx
zxo#A>8h0L&Vo2Q0pH4FKbX<YE!Yy<S_loC(CjCN`XJEv|26V`and(oB(7z)b?*FpD
z`0s^q3{9-@&|k%kI9VFF=5>!BH!45@k8T^KwzD$~EA;rO#u0C{For{q>kY4As%|4#
z?w88;^3V^9of6f3CkAd-KFRqJWfY5m3_s&G{4Z!@a{vDoz&5n>t!{Eg(ju9%J-R?q
z+GbM&Un5Dlj*f1pL~7~JEsM`5(bH-h{qC%<Kd}=@v{oy^YfX<OH>t~rAWI{{tAc+g
zfJP(7qa_Z{LwcJZPo-tlcZwE>l=oOxh-Zp6i-xT{;oliVA=xNJ$7yundm#oUYrP_$
zpd{-f<nL7tk3I1RTk^GevY`^O&fK;l*3?ng5pFnO7Ma@A(jr>G3}Hmjvgo>SVSy^M
z&lZUQS}?0p8x@oZI;a?k+*KwwXr|lqF8T+15J466G~_jd)g6tEje#y2H7zatDLPV8
zQX)u@{UtX?-%Sa|hB_i4Y@M=+ELb)D_z%1=9dWdi+PIlfh1S%hRyqWVPR|QIA|1a#
zQbzu{RB_^GDc3MS9MQL`xS$GgL50FrQXI}ET%dz$r*IS%z5U@kj_6H&lPMjg8oigP
z`Vwlc>(FQdXKIfMM(uap`x**;MRYuxT%w|6*Z@1OB{YaGr!ViLC?#G@d$%32KVzY(
zwUyrme4DOPBO}CPq;7vm(aJ{dEk`QuuWwK=^OcVJ;?R<9s2kWL*Nmtxsv6<N;o@T8
zr(ytatX(V`G_MB3H0OFM(aoA9IC-?whDvn_Bmx6(^yK}ugunwQ2Zx7~noE|K_2y3Y
z$EB)F+PUo@NGIN;$nBhQpP1vb#}87Q>gv+oPFkbWqaMr3)MUT9V}I%k3B{m&{4${f
zgCa{wN<qn9a`a0}GJys7NP%5mF2*mbj~FEXWX?6O;+)}nR8T$4XgVffUS%>*wpfZY
zsMMb0QN=CM;20+Um@lfg7@i5&gSQiU<bP6`^1rp`|0iLLq!@K?tp6_<Q>-K!8M2~*
z$@RCM8hS;*G^8TxCXC{&@GDo>(#i;?Q=Er%I1vqYWsgGRRR(nFOB6XoxLS+--H^eM
zlReh<yM1v2jjAu`*j@xCfG=neDy}_r4J%oa>Cr=~DkTKzCf+yK6O0(M+AN)Gb15X9
z>ta{0EV!+Vvg3^4?|oFD-REdbL}~Eq6R9~)oXd>QB(TVR+yqGAo3!~NmEEq*Vo+2Z
z7?Eh=q^U&i*KF9rI23_pcGV~pfkdvx)r?-0ktxv-?WefH>&;BSgn>*RFSyU5XqBT5
zy(-$uP|7qL#Dt)ch-N1(knw>`YHXUPBZx0)>B`!q43vGpQ%D<}XsC-?QjHg0KH?=}
z11PI8WZdHkVVI+lsw#I>_VEkMr<IkJ)iRs)np_$}eN~&o9S4%YQ3l0KAEnHnI#t*D
zz33n@H71E?4TG%12bh4YyQE`*Y2m>q@AH3+6RioqJ764{s*+?IJ#mZhbtWbz{joJA
zWo3<uLERfJ<K(yf^?f>ViiV)fNWZOF@9%dvW^Jwo_QV)qoJQX2h^?)yV0d6^O-F}T
znpaX%#iWu8csv2Hd_;I+(sIh9UC1Jw;`&^#JGH5%=Bm!%O;&>=s|y>G9XbS_5T1!T
zU2t6Wlr_Eq8^>5<+AvY(06!+qHKBbL2JPB3ePVHqylUpHbNiUjE@ZYFIH<WD*7UB;
zTsgBPJ~m%EWQSpXXcULt<tWO0Q+A2Cz=BHilEb0tMAOq3rs>Oxnzc$1UM@%NE#eO=
z^M}8jHww$G5Yb6h3-np095udj!A2=maZ;3H$XRK9P^1^nj<BFcRu}f?Z=|@RzI;9S
zGGj7eFgS)X@sIw9Pk!0;HQez9s7wcg6BPE__JniT8C<zAjng=?mt?5=awDdJ;v)@t
znib-gJ4bdIw0@WkQP1HxAe-D=;xB6CuNc@JQS~PWhk+SeN6B#D?IYqwXO%1H<^zHX
zfze)0kB{x7E5#{(BLj<F3Ul=I-UVh@8tr0V43l6|R}*x-_9)fZNx>$>@yqj!Jb~K*
zuU+<sjc<dr?ovkHSYbN;mGnOzEuuZ!Xq`WjME+dXv9sBe_r@jP7Tb#prkn=WyL943
z=Pn$QbG;f-&Z3Z1buzwY-{UN+t)g%6zj2xeWGj2Oilo=*K92Jreyy&RS#C<+CWJpp
zSp1S&n8Sv=MDn_JTEFRhs(n*hn0Ha=QZRIZOrKkT$3ZE#a+MNY`F5IW-hAAyKTxQ#
zi8;|aOv1pJU??|kP6Y+5-w}hMp*D1#aE1pgk7P4i*!hk(3PQ2KCHKdKkzeQS{aB2I
z0j9=?`>5a$$a{z53s8`6c8Rh>20fQH6jTaX1m9Fz<gSvNaf;GF|I}L;1d$VO<}%us
zs5?wjBj1$M%K#A77JaQepKlxyoVS}IM8+=1u)0JYQnjOdMG18*5UgEzwMX6Qh&U+P
zT`adlqr@7UAewow|0@52%FyU&)nC6>jPtz6u(7tj_0PK)zZcD{#s38MvN2`u|193s
z4*7sL7nv-1Xw<a~k1h&z2t)f@jGRE|vyG>s`RP#*pnmFnydt;kN<&nJzLwCVn4`?K
zk6oPS9a@H5*xA{Q%iQfuD!#HNi|tHkFjSZs@9#C>o3SvdXe!9iF47Z|qq`ohOLSrP
zDqs#$O$&`N@_LUyTy@>bvptY$T}^wtSb8PH3)L!!^zSGWRR7#t2?mUqcpb3~c#?FZ
z7)no#-f_|x$1sQtHFqlNX#4*e+svr!HuYBz`ATPv7qb!l?$q@3J_=EIkRBGw^8jHh
zJzI3xY-aMH7_*$Jk?I{vGtxe3VD&9Ns)Sh-tT&seKRXAF;$>8!K{z2@e|d4PXm=Qn
zG`TFXG!?jzth&K4@{zpp<!_wb;9jH!(uhoP88*tAA4nkd1ks5#qh)LbH-TO<rBksf
z(qzlG0Q=eB-HwM)a+mSINKce4kMLtBAo)E0{VTg9zGbK>uUz@>Rg(Re)b}^okG^m-
z79N{g(Ohp>7-mLj6e=>7KrTQr#2iG<!qtraEm5JbS5|a`(#MX>l<cScAGLjXIF@Vs
z?xQ3PM2nKSsEANf#xg~t467m;qRca|S&2m9m6D+pvJ#n68AB8=60ywGEAy<7Qp7$V
z>-T;8_wD`1-hb@v=r~p@@9;eLbKlo+Ue|S=#^~=Df}*P*c~ES#3U?s?{&7e6i+9^A
zva>F+oU^4HOrOs^r+S5J$Zjsg^Y{c4Kx5q8p=czm8+npI|9o@w%h}hzPM2a^Y(Gl&
z?-Wl`vTdCX&w8NGd=SGOCvF!HDSfHI{_biIpp|w1{?t7HiY2|<{p(ETRKZO<COwOm
z#tq?>CEq*6P>Ej6eO~AHC$M7vB-<W^mkX`<ik9%*R_n=GDzZuYj<CS5hT!LD_SjeO
z=+``8&xiQCI6B{#zMWcX9(Ea>ghLhJ4qYBILBrF2yvz_}Jc~1jmZXomH0x*%z}MPZ
zDb;<S;q@OB{A|Ah10yU~l1Z)KesEJzZvTaDCK#h6<P>Bt%+cFu3zWIEM2@;NSK*et
zPIgq09ki(tn0K~&caV;?1zhHHTXFV9QpYcSiI`yHw>ZivV<xvzCNfKn0F-U@?jT9h
z$~)QzM$Y@sBY<>&Xjq*9+r_e^q_nBE`1;X%(=z8veSc~TV0U&z`7NNopyAsgJ+fJv
zY+AF%Yu_yb$V_T`2E<Qvz5qj4Ne9UXVE^vmin2kQ(%1j!R?^n|A7KYF8rv8AmQ_I<
zkTFWKoWA!@!rK1Ry+u}{na)b@cL%7Kba3+Z(jrTih21!)V*t(_xlPvO$$ua#?`qj5
zwzf0BLjZE}$e%(uRJHs@w4~yVcmw&m_c(FG3wEt-Q!?3JC;1U&!S`68O+UE42@zdx
zIdVtT#93#Z0Uj-Xu;=HiBcr3oZlkT`gO!tvd0%d}pMA9C(v^u%K5l<p`nCG2qxaD+
z#-!ZciHV0(@2*%C`cW(>Ypuk+6}^{qIL_)Hj-rfwQNG&CIglclSipH^vTZ=0ao3wH
z7cpHcm9-%pq8wMFb=Q_OYTw&2GoQTkh3Lt@h3|AleHn_6zhgmvulS+3spkFx&`B`}
zB&5h?Jw{~J>)e@Tr0{{MZyP9+HoJyFci3qkRF3IKw=xHO9ufR6;Z^*n`tr${CwBi*
zi{AD~fl%=Lw_<b1#hZNpP3?VeCF}oGg5MTr<DIX+^9eg617^5oT?f~LT+<m$z*f2E
zDrmG`gu^f94nEKd2Hz7s#a<Cj51v0IeGi}fS1-Uo%mdEnM!a<&zWoMW#N3xFOQC2Z
z<~x1*v{lFR?I6ZrU%zE9BX(W{&vPq94a@!lXdLtp4!$v!N`!Ca+Ix{1>h?+6A|G!B
zQOHYhALjxaTL8{{(#w||U>8<Cabi6fitL&`Mc2N2cPl#jI*4z;G0Xu)U6M*u%CwA_
z`}M16YbdSHb)RNhmA}G~nh#rMzp(1|Li1RbGRlEzVyA^UXO2yq-hBA50i)~6zP^e~
z>$!->x+65Z_pa_ns9Br6kKMz@$N(11w>U0F9EB5q^~Xj=UWJP=G+M%-=@c+JIR(4>
za_Ov~ipl{s_eD#~<bnb&D5pb&;w?IvuYzc@NOs*AZ=H^WJ&&@t(z_(Tz6{=yT))1s
znbQ1x`@i}{g7a9|*&|<xGODmC@-ccn0pT#dIk|ic6t`8Fx;LHjlYhV}q!ISang<F|
z!(c{9-g>Op>awyC74-EGGJc_N0Wu6MT}ZRk_Q>1jCr`4Vb%lz_{ui|%)(Y+Kzc@GN
zIjQQ8VfQd@nRhmE-~hOQK9x<c-(%^`kdH$hnkD+MhK3oM6PcNrosJb#Z{16dGB4x%
ztA8l$m&fWf=gVjvXb0<6<qrUzz%3h+`7G<R)~T?OBI6Ko+(<NJ7)WOr=GTkn$RD$z
z;+x+BcD0!O?K)I{7-VzXD@Q~uo09~Y=MXIC*tF~l9Ro#CU_yc=ZS#>Da)HujMS{PF
zH}eiOlty~fe|*nl5!|im=-35Cd9M|kUvD2qMHnlq28IK6KE7~#?gd<Lc<G1kZUNAe
z<Q5cT^+BE#q?)8`XO|(ZmKU1*lc5Z(E|D=YtM48QLYwYZ6tpm{otm1e?CmWNa-<N5
zO1OQY^MUff-FZj!(V8hV%PKoKNW6Lbb`Ne1EFY|EgI0j7K32g)0(1U3;P;N8>gtMc
zkk_KBx&nM9{(ykz=H?PpQkcMsNW*<!hl+(=`!fcT9zO8L*)wO%u;5r`PcRZsp>It{
zP>?vAb-o-O*|@l1>?(7-fWJD6+RXcycjctu_Csm&G^4+0Tlo2@&V95b+#vIY4Z*Kp
zANuC41Zwnam{8gXyQlyj>HyHG(ae+U<Bc|h!${U^S{S4@*U@KN&$4A-y@4EBo$k+}
z?|Yn9ZQmER07{5!pi?Tt=0`2*P{Rw$Q;bYZkMi<1LA~zCsZ$=VXJ(K7Z%@R99;4R9
zbSpX;`xZ7vQC0A{4)~=K8?CNkR@>xnZ!D&W)jsYXu!Op3nQEDxx-41zHGup*Ce-7M
z4qkf4p_1Ilj2of2ME%`<&m5c$_$_0&hS2#E@7(g~r%!in1-Em9)jrkJr|*V7x;qJG
z-2jNNgCZ-av$K<_wk^Xz2w!mlGiof+Fe+=nt@p=1?r^7pcbp#A#%|GEiXXgKjQCVZ
zUx=SI_PD*#l0wOqavRnrzj(8xv764dzdP=jU%K>I%6HD`0ut*tU|S=vAdFY;?~{@8
zSvkC5v=Ae|16!6qM5~B4{R(`obA`@7r!Q?#7kLo1blB0p>myz`&{?|Y((bC1hEnVC
z;%<)4{ogO=)nwYMsjK&|Ew14%yer6z4Zf1d<}JU7bCTF%!$82;NEy;Rtp~w_{&7=`
zH0aA&iH1@?pKC!uGWuD%X${#Xhln!J^MB;Nuf%_O?gBxfoB@NgW1Jv!Z?&@P%q|4x
zQ(Se`)lSZTQC~!x>tUx9j`N5*GchtIg3W>O$1*;t8WjKDUjT-Mx%v4%(BS=;Q;hw7
zt9EKIl{Ve=()thoqMw#ZUIRBdsI5uyo%_T6B=!e=56|VjuR2fb^m?84(!PJXLj!km
zvc3Gc1LfB@Yj}Wb*RR8;ylLu@RZr4R1Wgm+4+X#%m%>ceVi>bGuOL1xBV#?`1a1#Q
zaYR2nL>bs1K5e`sbYke?E5EElP(gkyqO2n-B-!(&FGni54c`jg7FB<adh%-2LjQBe
zzbew2MzpoH34)xKj^~b%?zq>7eI9_rbmHE=H7G7kGS^x6yA;d4J9jxi@H0j*RuE+L
z?GRoY$D64pmusIf(EexVfpEX?E2ka0^%cGxxSJP#{$Lk&Z1I|*&)f4mpI=%>d`9Ql
z-InT%F37epX;OL1;m@dup*Eu=E$Hj#m(*f2h4JLiQ05K^3sVPMkrLliHIm4NC<A^Z
z9xW;^&Pc>7`LyodBlpI0<z2AlY!eYlr9X%60s{dWaB;d+wdWJ3z7PS&i`XN|$1b~c
z9H3T+GOs|1FaX07%Gqt^;C0YW`!j33-bO>0jI1mgq7*hB9x?a5H8(P63qXjBm}^6U
z+sMX%z`#auL6S|p!{8M@dqv`0ZFX@nuZ)Zg;Sa8iKAgZR(8D>6x9>@9v2hz~W#JB|
z^`>e&_6*CZY1!YWx!A3p;IWl^SLkP6>t!-&&r|4^#}2#thx^ytU3j(&ut|hJ{KN)L
zA*k=zKLhI^rYhE>u^=n|MCO@3j7su=W3;zXLFzaes1gKtyS2}qyLs!@E$>?NL)-v2
z7BSbod8?zIo}LgrXA#cdCvX5#A;jX3!&SU}o8R8M$2~mj9cmJ-_!!4WYk5t+S9mQh
zcp>j)4-gCyYKA^%C@CmdEZo7<anIbwX4lj7^vI~F{;Y<0+C%U6wY7gFfR3H?v#&h9
zXdoD%Us>`)*I5j0G=w%SO})8(-MY7+HzMt$?)fuDM&U-U+%JIg&~q@(@+*M9qU{zw
za^Cf~^tx!#yaV)7YjMrOT*q;xFSR-LLTw-RV~acXJ;;={xy{P2$V`NUhjVIbS9jpC
zzo%YKefm@t^!#T(oN9}G_DqUgXhI5x?R<d~Lx7+%8zToN=hp4pR|N<XgpIAO(w3(N
zOo0q2N2^;~i|*rQfuc@(Vwl#Gm8QS<o^O&=N{R9HUTNqOB`x~1=2Exp#wW(v*&gE1
zfD{5JsN%zt@Ju-<Z<yioxgZz`ZH1mek;geQns8<aZFx}5F2lABMrG6V_pjL_$BqT)
zrlC;3Q_7L9ctEpT)^J+dcq3@QDZUsl;o5J<1>K@hy!taTt^*|JKB0W>95<C;X|#3D
ze(ON|)|k9-CAoLGe&)xiE_U7RuJjn&E)9nSdos=p5%R3Dhm~heoMaMrAql(1jf+X*
z_6qPPG=lbW?&nXH^cFMB|IcAECNeJW1~$4NI<}g6<S!!3@WcS36YOX)y1!?m;Zo74
zyha~_5p8vMa57Ldm0p;xl_aAloV>c|nVEEj-&+)Ryl)(v?R9nJ&b(+#b=kgb?=*Yu
z+OqgSGru-*vRzzUykdHwHs|th@A2-}0-$=Eo;xD0mp7Q&H1ZXk1cKYPtpG2gi!0oY
zUc_L^1MTz{E?FnRZ9+nOpsjh)!s1bCYPGF{u7&MoT3<b4Q83GRqM5kj5=;)4qNmi;
zr%x*)lR!=qWZ0V@)a-hl7v{cSr0qMoT4{dfU%X7H|2|V<AFe!Y;!8?QBv7fjuABC4
zl*hIGQBe^$<ad||c>L9%*1QH!&ark?vyBYNPriU`_%MYcgMe|c$BOUCne-`G?LPE@
zsDfpxWC8O%yXbzMo`uN=5R_tWv<eKXjiA$pS*+>x4Wa1-K>T7;o5#%HNrGY$TRc!3
zge!|&HmmXMPqMQmG1qah7$X=VH*dbd_*Kr8rOTTS+a2<8IiK&q2MJL!*vZb2JRa{=
zOtP4d6Z`80My<d1w-tN2PI;M`J?hvCW^=+HP5W<cH3p8t+P<_OuhGex;PDyLp-%9W
z<;|3y@7k|HUtIPab+Q35AI)GoAr+y~M+rab^BZ|FF*=yGj)g_Wa1iC{O7fwB1RJMc
z=gfmmDX_eIJinT*=T|H!e-5H2LKz$X6JN9eP14in$K>G%ekCbTvZf2^g;6|aM^A^k
zHW(GUtXg)UZH)FieO#k>{y9hrT0yE;;T^cirGgXMgREeu#u%56>ptV>5Gk5tstt=7
zrx!S{1V7Sh!WY4<6-c&cR^|taQS+e|@)@B=!R6mYcOJRLm;8*=N_WNp&HdfUXVNQ&
zV0FL#_~Bt(#_FWO=k3!)qw@~5mpZ@XA80Nue2_a+%G<Sn(6i5y2Z4S5OsV7R=6;wx
zNDQv@AD4J7QzbiH-5JB(x7RVQ>wO2JIoJdSVz@0kAvig0X_e&u{hJWzhhOf%2;C+}
zi;E)~yAS{n{*WG!Jz%<8_I7gok(yHy^R&~>-c4Q_$Ee;VrR8sBH>ZraoN_&_G&nT0
z(!Wa5$3ytFzdwN{0;aMhhXQwn%rl1B#XIGaSxZXn`;JguY`Y73uQYab9*EZOTynAP
z((hxb;=&cjKMRaGKZ)~~nwfbRo*;wXa#kYDRmix=t)_RgK_6eP(6()g2a75>NrfZ0
z4s{I;@5&=ZfPO9@G9PZu<iUue(*4rUq8w`xND*alOx)tHy=HclE-m^H6rpIvnnvCM
z)n)UabyJUx(Rot!l*zV9D=Nqi%HYoG4u-{q0$QAsIrY%>{OJg6ZL=q#I~~`GY(Lb;
z`;w;hp$lTf(EJh-s`OG-DmS1E*V*%Ex<=_?QI<mK&80aNon9td_B^)5BQL^3LXJov
zjFI>OqVp95+DW`NX!i16xNxEOl08x=S)cD2vQIN`J~6_2WeV&W#4V3{(1uokwNJ;u
zK$L!=2>B&&;Bs{5Cu)n_ijN=XH2Dg3g5cO#E=(A&cK0jifpNuohVV-u*hrI+2@qhQ
z3xI5Wb8G7(1WWuSJ(114B@g~9(lLPRL=gTNV~)L3YnsDfDqLAqBo{6oAt9_zNJNCk
z>9yf5r;WHiNYcNm#YOQ#R51s7$MJ`*l+x=WNWTaRi>{Q_L<3}^KB5{SapUzK-7%*!
ze+H}8j4epnEYTRH5kI8&r0D|UTKyt7QKI=3!~IusGqSU-dErsK1AmuBo{K=c9WpM&
z_Zkw*rrzZd+llNe!h3b#J`s!Fyu!1dY0AZ*>AIV)?#5p~zBsz`fx65SK82zAleN5v
zNOcf<m*%m{$k=10F06nx*`0L-R{@7KZB=zGiWhw0V0T&nVhk1PScnx>Y383VayuHI
zua~5)|G>i$Gp1z7$6b6G!h4Y3iS;|BuFiPy_cy%=`cXq0YW>_H_wAxT<&qaasT_-k
z4oSFsNLq^xfZjIqpA1>)>-xO!%h+D0jJ3*bKcjiH211hSL63g3W!3|1bpXG<wtrhy
zpZXR=ox<C<x7??elez<noqL8e`kL=|?bmgUQk&PXp<*GNX<pr3<iC7F0*dpn^Xm@V
zi+3OYWIbt;|DC72)Nh_>Hewn)Y2qKoTPG<i%LN)!H4P0W_b>Et2sh(EytM1s2<=Hv
zNN})oat=H%nCP*hqQ#M!3{}AVy%M9qVo(+c8XmU#_N7|@W|codZOT1BQ2#+f)8EeA
zfBX>$SW*a}U|d`rtdKnEs33l=hz?O>nQhIDypI<JULm<X>X)t1!DFef&jkqwX9!vW
zf)F}%NZ^1YUER}Dmf!cQN=0R55+s`VOZtDiyQHlX9k1JiYsO|)v9Q<yB;-~?Ld58(
z4TyTVp--$r=ChR1eompg3{_)au^&krJ%tfebDZr0&#7&ys;Xb1wrmPIKmOnBz3#eH
zJ*4Pda<EFB2mH<DynW_rTZa7bZ?Zy~g)hle@newCf51<!UpFH3{O6~J<Nq3(GFvVA
zuXnLWp2!J|!AJk|b0h`F8xhJsKf-$BpSS-T{JJgb{(ty7<IhL}(G7|}vfzE!YxDay
ztmFI%;fa<}eloD8^^bLLU;w{-+{N%maJgw2ob;{O*bt0X-T2~#Gca~H9l<*e@)X*z
z&~~`VtdQgnmXS<5@5Ngk^n%J_a}Uoa35gpdA-v={BHCYHITUqlJ5)OanFF4@-AZ1q
zWY5qD5fak>==t-FNl8f-F{o_3v}svOJ{32&eGn0EfVRR*tHw7elyw2b1FfO=PIXyb
zhVqPV@_hJ%aI;P#|I!ua0DrLPn!@q2M8{?Q0Cg+r@v)zHqNKUjyK79I%Ti?Rf3u~E
z_FxhdzacknFc7FZtpLNqtzaP+Dv~rZK5H18ox|-Y@=-MvK`ls{byi+k|8L*iVAD?p
zFE6#RKlxzCO~-wUe(Rh*9Yi8BAb^dPwq$+iJAIUK^=hF#d)RR$Gj8oC|AsZKbDyL;
z0JE`B@VIerm-)^DttT`01Ss(rU^elEWXL7H*zUfQ`~>1NEb+G@fi&_NS4$(B2&oQ2
zo^>5bZVx7m%fYV&pzwWkXh?{aF5e#Aj^~F+k2LiYEPf5inj4V%9uUa~$t0mnCNzk5
z$oa{yQ&aWb2fTRqQRj#2|J2dBid=z%AWeFYl_E)?&%AD(nu-boobpwyqo=$u`EaJC
zzARinuHHWYiM<UfY!%oB%D~wmB<qAz2fn5)z^2T8!rEh+{X-!80VODguOP_7=h$6}
z+nx1R!ix!F8E^rNn?3Py`?gxl3$Ei@&-87yWu1<W&O_F!WM5z3uLzS?5@@e36Hr{<
z-y~d1m6|ACMFgobpbU*X{1F0Fa*;sd{}r4PhsCAAtK2^{^h%+5M>^?y8bH?`dg+A1
z!O7BjhnOmL_4>1hhGO-F3V7WH%|1SewlEN~9+SL~=GnYK6QG5<`a>EC1#h;7>wpsu
zRtaRfk-bIJ=+oqXoR5yZz#}oTPXiBfBajP5;11aH$df8TgF?mANqYM9U5_US6eVd=
zAQVOH6Wl7qyn^(Xa3<Rn6?sV<*UW4iatW&$`P~x{-IwQ2`u;`|&P4q6`0<VGPm9d!
z*K>3$pwQ-Bi=AI_33)ZAiK93TG{#8wiXn2gsaE#f**xCW8Xzn8L~zy!^#bI+*REYN
z1*7B~GCgf$V~5!ixL(eDJrYz95fM>7c5LmVM~~PzIIh6}liNtez#y)L(((3g)%7%x
zb=q~8@_`c=(U<_Tc=B~1C<c)^6Z+__-I|jN{XoPROm>B;0pV-}<XKTwWeymMWl&|e
zq+}HdBtUFIHS<g|kVx_bX&V?=>rn~7KO}M(#<gb!;O`9q0RatAGz$|r#1Ej{qT3Y+
z7H-UK@}q%oCe9Jdq9mwO<MU41&WpjIlgRJKLTS8<jgQaXbuk5JQE)MF1`>i@oPp_M
z@AayV>g&gP3MuvNBWnWcZma*mso8<-dj-MZk69(g``u^%{8PB}LsgY#YF3tm_8^#N
z%;Ip7GWy2)`XX=u=furN*dcZHxdf01dyGl3XQN#ha#xO8cw}a#!1BR`6VT*4&UMhY
zpmGj4eGnW61gupEL9!BH(PnOaWdVs__~c4Mfs}btleTv(H#hf;>o_Ff2xT%}sFR4%
zJsZxqIzW)wyTmva{M#**`T6;EIHAvD-%eDigJijqlJ@7W9^|(#icZ<}jGDi7Q^;$+
z0{;_)2Xy~OBcd?zEL%L}UT0ST9$TfP8te)i8nlz1J$u&ZN7B)%Jk~V`Hv#5%E;Ell
zf8v8oD?b7~t*(^9-;|y=t1e*jn}xmv6l34LS90JI|ASzLYdKTv^{8IaD;`4>#|c3^
z4VCP+u2MC!a*|rp!%UtH+m@%CU`b~nkkv!WG<WPbP$-;NO&y)cCUe+VuvHu&5pkjn
zoi|hXjbZVY^XA}Skh7x~cl1t!PJbJ0VoOU4Yi4&>;q$C8RGft9cJDTlRh5T6tXK#e
zH$Rm1D!>G2?_7w41N7%QhK9Bt87ajR?XqseY!H*RYFc<qMx=;h#3i~5U3V^`MZOol
zdKe7PmAqL-ub9F$%qfNlP69QOubxTIJ?8+vQBO?ObBC>^TziopckkX!5X&C${M4v_
z07*UJ{^`W~2b94yd+1hdQ2yj5GxQ-LUsQuMe>V3>2iwmCAeS>?XkegYmJUYr1pxWb
zV~OSBJ?P7I_wHT5+xSy}Kp(Ov5h&Xy<J9iY&WAnX4%a9y_JAkgf~bU1PTafdYBJDA
z^vEb8Bf|-5=w6m#$QCpprN!jP5`vQywJvP=7oO${=0h}OV`HDb)_-#zYu!Cnf=W?l
zz8$3DSchzGq>sKM#Ys@*44V4^{)e#MUNe}SVK?~&5PZ&3bD_s5<6ZazzOE6etlh@~
zc7&<8(1sDW>YAEzG-WXp5QL^-&Bm#1)qGXgMZ+}$K{(zAmyWwhDOeH{6LW^l0U4|*
z8$E#>;bQynFBqq*z<`j~VF&S;898*mJX&mR;^MLwcr_5jJ-}c9Y@g1E!9(xGwX7z1
z<y;scy<$PyBYy<M1Oa3($7SFcYEi0Bnr?I{LR?R_<cNiZMTyn|0t^*4M$}exeJ4QM
z1d{;ulZlu1_oQ71PhdPJ!?@&JhNTJ{@8~sgNl8s0Oho(ap}s8nng0FA(JF@GgUJ|a
zn01KG@K#-YdSIA?1?LV0xso|LaPR&44inF3aKJ-q>mMrFdVCyAu|i>ljf9=2Hu@fK
zVrWmkvb5Oijxh0kbXsO6C!}P=qFul3^;KcJ21}ei#>S|EW$g7vg@Gq@AYSHhU~`d;
zxMSb9Rm3$^RPGtUQL@pfd}7gt7zYmAn^JX6H;n@-k?*s{-rW^5D}<tW*Mo@2R}tYf
zJTzy+=sfeH2yiGNcQVWShzBrcWW0ov5Vt!9f>*g(D3g)87!3Yw8#iu4neJTp6;REu
zAbP<3Z}V&cF+p!0sBkYiE7gBY8ChH*h;*uc)ZLzfK^u)9nT1>*Pg_20Pl-H}&RMIK
zaPX6j!Sep@Tn;Z-@WpcrkaBY``GKZ^K%gdspqSWk7jXbN8t~}1?%W9^;a2P=*6<xN
zk6Ua|bz~sOqD~{KC@%(pU`&Dg<M`is#c?mj-bLZ`BJ5!xAZL{Cxh7vVsSH%273_gv
z^vrFU#j5jwMq}@*4Al2=aPe(BcUJWjluWcEOeu%B89_i9*6QT~>W%E&+&1oUBOxPz
z^Lj|3s16sz3|91FIii{8g6&^TBhOG&Bg%k!+(bDled;wvwFrL{*A;wS51+M{78P9s
z`W=6@J)g1)3iN$1V>qUB;h;xz+>`t*92~-n39dJpuo#aNc*v0aW0{*nZDOL}D>@Gw
zn?DZoN<xFmdjr1B3}qA23gNt1v=!w!c2hCD#tiibRjiQHXtO9trCYNov3l?-2bac7
zmTYqE5WucjxpKQ>6OY`BEC<V?h^lZN%iN4}nVS^+BLogPP$ruYZWtJywX+lVFA`wl
z?MX8y+Z2wRJXr}nj^#LG)hd;=KW}d6JD-NP0fRZyHjBX*gYy=hNk1@tt}p&XTciPM
z7R0Q=?r;#xiMKXEadA!Vxp3UZ6g%z$c*vg1eZ_P#GdGjDeEfWF9hk*sIU?j}BU_01
z`UjJ#(vIyZInwQSXD<H%j}ZA|X2y+BSNB-aRLH@%rDH#2oXJKAvJ{BZ83gbsv{qG3
zZI5%WdKjNVYwwX0$>97|^DVXfz@IMkecTx+)sz=_urs1hi*O8g=B77k7I?3-Y-yP|
z@gv9C;k+%}Xb$w*2ud=o#U{7Ig~qz=co<)ncL}{!du*yAhfJHDU#9Iwgb&t+$^kH}
z#Z+FRu}2YXn>JZc6c`v7i1*!g?_aJodeWrwq{+Z2CXFVay4$&BKMFm4+KTo4RQZ|f
z_RA?3121XDH=(tycLpGr>`N+AP;rw|vXD^y;X@V52oY#pO9U2zeWQt3o-|JBW3h@}
z&*v7<bd%?~*~4c|fazJUAl06z3Gaa24<zbS#nMhFL}fTrj0)1SkKHARHTp-@RsNiB
z*N3K)(Suic&t!Ip<|uStl?Y1DvyM-x*n%XoV(9w`$G+uDJM-tC1aU6kVd5o)yvoQ0
zAW$LIl{Z5}D+~4fe0_N*Kg&$d&K|}xN?ojG!>AK8;+i?I^fD0HrN4GT*L!!V2cTp#
zaR6lq-AqbGgm^jm`6Ui6fgmR%nv;=Xr&j!};**wpC!DM^R^}%rmO*MhExjv_`bz;k
z<H-Xjhu-IUoMW?e8OpgJ#Z^&ALH`&S3D*K_;fHHOasrP5=rur4aQE)Io{0igc-G1x
zppu+@F9$BvhB!EOq(pJ?J=pPA8lbQg&r%yZH$^gEm9Zz&QJ1YMY@>AwXc)`B8PhEv
z8WFJpN=_B8U(Zh}qz^zcD+CgXC?S7_KHqRl`euiZ1zSa#n(hm1aqPTUgXzHdzthG~
zq$D$Do4j_&`H1{dn6kIS@NCKnNgu~?i;D;-dcUm)>aagzkh02yp9dHTRD&1^06<Le
zKd9v~B5q<55J>Rm`$^w_IAr8}J0v1JI=wT0oAx}lm%n2j21U#7ro!|pH!2;`v6s|F
z(l$=-BNOPt5STJFK9h1?q1g~tYcF{SIipnwi*vlwURghh-F=`7T$mfsFw!$N7K*yj
zBP>qu<5DWX_GQ~<iYOWV9I+iP2%ZpkQaly1%;Y7fVQ=fA(Q!hG4Y$k|Jjx1#8TP!B
z4k2E4^5gaQL!PR5VG)3Mz86o{=XwN$tOm9RY+nJ6z?*kk8`f{);tE0N%}?AyR0Ca&
z;5N*jRt&W|G!MMDFFNMr^i1~b9DI!uZ@9-EKK3Ql)qMW@?aAFhLg(crhY;i|xXQNe
z+sA?03R}#Fdot^A$N4@b*l|aW98pGXBl6)x>h0Sbb5>5l6#y}iML&^qPI0DCVUfod
zDqw3wj;Q1@q3)FFQRVI92OOw(hBTaHKwNEFVjO{XmJ3KVjXQ3jUbMZQ=NE7RDATg^
zE>s|1uCA-AL|dvQ`UlEKz0aRMt3d|g2|I;_O@Wh%h>5M#Ze#F699s<86_iidi86FR
zkZ_k#m(wZ_KAw~&l`wuKZuA257H1+rg*4C{h|$P|<CTNRpak*@&V(xDEpUpme!uqN
zVQ(+ZY8%rzbLKkPe*y|dJ57p}RqC8CM$FD=K31^3pY;vxVhjY*;-1zC?^oEZ1Z8Q6
z`my*9nWNrgB{zxOXY@|^!@&!nV*&{=Gb^hG3_8Yq1HBJO&4YOldA7LqeWVvxHIh|4
zJqtVwz0d~>(Ut26Eg4c@h0a6E!_L?e-oyz=AcC9)#L&PfRG?O_HpRj#%Z52+VgI7Y
zC~RsPdbd^~Cq8uOklSeU8r&~XQ%xiae4W?RQH<(A4VO{7P3I8IHY40ek~X<ejg5`%
z2$&)GZr}#}md4q_M_GiRgaj+pjX0Jrqeg|;Vg)`{KtKSQlqpgkGO&(G2Ey%b|CaM3
z#STw6jOPF=f@E%prlE%0ySN5rM}X!C)I(8!liz;8@+Q)TAIS}H_~gQ)!$LJlJ7iu=
zSeOwCux~&+qph#sZmMLH%Z+18jLIKYQ&R(=Q89CO<St`<XNuUCh@YshPpxJNm<uEY
z0pq>R7045LTVQ#yk04;&aGV5M;t%?9e|f!B`qo1W+NOtqHH{g$+iSr>IYUcQqxO@;
zu3c+M(2=ZQb8v7ZVgnSo4BY(Wyo+P4FLGy3P&|o8k2I(Kf#-X{BWzO2Yx<(|T1HnU
z7Vc|+vkgnWb+=Gf5uk_I<S1-$1A!4)NCYQR&E)K>0ELKfG_Zs|xIc)y+_rP)YDmT>
z2-{bk)`;K_C-t=H#SK(|&(?u$VMAhl-}vh3Dd{At1jvmLqzg}Ld7wl&rE!xcAVcn^
z;rivKw4M01Raf3_l$`^h<VXhE=;c9=tpFQNjrAw&Ff!e8n&^}vTW#QsHIE!&27*F1
zR1||7uN}31vQ=i;)rEr-ivX&xj@Q7oko9yd1<V+t0=up}7I>F8VE+z;MG=ycVne;~
z4J3ugh!5dIu$h|-ke6|K2@mMYx%OGHp>X%-F3#($d^gEV0nM2H2?+@;l!D|e#DJun
zG-(1rv8;jvKz0=9rlC;okEpvBVT~s=rTEUhPA?d1XI{JZ4bm{Ob_uB`<;S`Ra<&~j
z$WIoopc8>~f8tu$`60}csOjjilhM{$W3N>RJI(ks)zv?zJ$d*B)z`?ocY{D^ci)KI
z{m$RV4akD}19?gS$U|!LM|NR;GIqZ`w||l7&VQOxNGJ@hCO9~G8GJmY$J{!}xQqhz
zUjVe<Ti1${A6Q*|WP@hE9PBlTSzy)3P(^sh4)1@VV$^?-*6da&J(4Jx@^7BEpKg#y
z53(>o3Z0`bcP_&bL!Zg~8Q#PjxgOcbWSm_EC+39B=OZs1F$~Xvr*sWE^y{I%*wllb
zFZRgI|9%rt2K{HI41_88+xV$8>F-~<BVaL-0Pdiw9s4f`wVeGwIvfA<|Nf)T@&6Z?
nOx`T{^S`uJ{y+J;=B1TBQ?)Ctk9Ycz^KC~DYpG|cng;w2L7Kr9

literal 60308
zcmeFZbySpXxGy|lVS$7KQUW4K3KG&tibyLR(hbrbCZ%8yN-9XlNDhq%NQ{6;Nq2V)
z9pCl%#@_p%z1BHvoo}79)}H0N@RgZ);=b?e`qljet0>8xKXdsE3WYi^e@9vkg*xGZ
zLLD<EI0^sKAN6Skew;K`kdua=@Y<0o_lF;+AKlS*Mxkf|k^k_*Cs)l-s4FOW>D%``
z;uZ$oJ;=ItPpvq(HKnTIf09;tW^?-n!ILWw81zP-e69aRbb<JS>II+U_f>AQKgxR?
z!f{_FhWsLdV#crIQpEUA$mk0tf+Aiga5($<PxLxlyyGb79kg{@KM-jXYqOpD@xi_I
zhiO}txA`?`0(uGQe_wcV)61x!e_!b???;#z{&}5Ixwk?>{LkwI%QcVSf8U8uMq2Uj
zw@BlKoHqF9Qw&L{`r};xe2Q2#!1zh@zaL|f;I2{l_j6<)|Mw4<bVWr=i{NR^6+=ma
z^2zUEG;CPg-u(J$N7wmo#oXnU(ONM>!yBygzOsKG?s3Z7>SI?JmT!Ex$BETqzogx&
zO7c7Q-nDnBC5?IcLl%F(jZEv-e}BH266P&2C+LqqyD;-BCA7Mh{+|mc`d_)Urx8gk
zze}B&zlYO>cjxFbUb}YE$jB(@)hn6xsg~7=cgn__3%$1-$KWuW^K9(w(rRiXFV0iF
z5MHhzg?pQBP$^XAz8tnS>`zC|srQpi6JtO4@CF6^d9=M^gbL`jm4#0vcurAvq7CWb
z6Wa~qhmXk(Jn$OAXbN=On%*&Ud#;%l+V+yPx3|M_>#L6r9J2MxFNGvoI;0!BR_!g7
z&vfTdWon|sf`SMJTzm9AHhV4d%&?c<w@j&Z&1YbvxyA?GhwG0Ki3Fslv($b6o}`>8
zcIV!`x|Udh!AzTl-+B257~9^l!fZ@9z2*<|n<ojWS;or`Hv1iCe=&v6Kk!~_Vm3Qi
zpKf!v=?$dw)8dSch?w{i2Y060U;LVK!pkrk;Uw#>%%G5vZ<Sj^p+>bYj28QfSXfwA
zT-0p|=uK@;KE>PF+2M?CYH2CbmSuBDU^er8`S;vA!F2ofG`jkb1T*Lsi~2ZQ<g??H
zhGSx43SL=x6pcG~nfK1b)Ra&T8$JE)C}nwhVz`kPaC2SGI?Hvzq|cLBBnjwW$|h6r
zm<DyM<>+EA_4fA0^s{krC>C0Ee4pIx%F)&Q{Q0wGZjX9MQqa-<w78PVuUQv{>(}Kc
zrl<S&2m1`_Us2wajp{A5dROb}Jx{?}RZY{>)RfnIN->uIqJYDY3%Z7P8`onvDRi0F
z@}p-dn`Z9sLQg+GzhEBo0&RBvviqGmx;<vzGBPs3pFdw!obS$WBa_L?5a;4*GpiI7
z6y(R2j4iI$^&h4Ey~J2q!$!{Y^yKPGb)+gf9`1XhI|ZzMUEP@Nkn0Gltq&z1Pw-x9
z7s+&iUzflTJFbq&q)iTaFN^+26sNlsdLmq8ji730iYjgL-Me?~1s2MR+zUgMRG1+z
zHkgs)`L;SbmzT<y#cT)59;go{To&`WW#E6{nr22Ob30MYccq@((8I2BNbH4PQ)8oq
zk59$GDN(PDuT{Q#Dk*m_qS0BfKJ$k<JMYJdc&c?c4f}4z$I<eb5`3$zRfy2eGd=;6
zB&e{EHySrNHHA#5?cI4apX`$1keG7wE(POXtL=>Wy_J(6W;@atxwwc>Dy2?l?ArOq
z$+--kwOc+*Vo@PG0n?(yWtODaw)aW2f!FCbZ{E1g_kA%smZ}(gZMY{#mwdiEM@mEE
z5}C~7cFVfe@doaPUs2jq`#bA1?a6_u*bGCz9kYqa$xr&_ZokXjxz^U!KC+yF*B6@}
z&dw}N<tQ3HYckoF6pvp~2{5p-o;gd-S=W`NX_Tk+Fi-2z=(iIhxK8!_eVD?p<Kh-v
z4&daZ0|{v+IB1NGjlVps!Pl$up)@a`3`x2oAV4ncwjcpRGU)_|tH;gv=-VeUYvk$$
zpE!G|ajPYUuQpe|+>~l^dYVyCkTOT72w$Z$YG|y*q%m^5A$+`5cv;%onl&Klpu)W6
zGRB^Ags{>e94-pG1?9xK^yLNojx^=yWw~(L#X_I)@2~PaR*mCCy)T_OaRTlYoJ9}X
zumS4J&us0R+HTt`qa|*OI@gOoFKmyAT*sQc{A+fx%<Om*aC>S#J$ZhDsU?tzj?-0C
zHdz%`esh^lq2=gC{&HQNbSyT*e|MI-e6llo;n;;_xo|fR;m0puz9fmZYN)Rdp6@~T
zbD&v5W_k<K*!LC++Js(es*<(m>I-WZ+w~VKVcLxIf*R=j^`hwbZQs}CC-7W;l_dM>
zvXj2=?gp`WL9dY>9G|saDPbU~Mz`Vhg;t05FP`h>pE_nI_QS<?8<SnFT$cs}OO>EG
z!20c2yMFz8z7O0p>f*&H4&6F93Uw=nwW@8%bDAb?^1w6nq+vYskjVFcmXHv#gkZ5d
z?ZSO!cNMKZ+-1u(sAL^RLwSVaLWmXL8gNFYiO&(dqeM?GUdVN2wSkWD>eafX{TMzQ
z<HpzY{Qi5Rfpiy0Nlh?5ckU3RD#gPWXyttyEmMxW_1Mt=;3De6<;x+7e!ESxo3k!L
zK6{IpwO{)%;2sCJwKas@mm-pdYHMrrTxQi~a9)9qP*vNqFgI7axhH-MlsdPkD3A-X
z@?O8*WNw<nHR#rF=kz%PrgCe%aD0^Vy?YTIq|8b#9u;EyE43aop90~Up*n5PWuYhb
zxT^QnY-Y?_HK*mZsZIXwd>2oUR@|O~bB^jT^u;~MNEE4tLkk{ssw;m|iWlOH_FS&q
zn%GDX^?n^0Ia#=m<*I&pH<DG5qodT>LQp?PhYzWXR-Uf;GkrxiH)31dupHX?(n{59
z&1^9wpW(()a2r4K@n0Fa9gU56vFnFMSFD9#6*_9aeOu|)b?~%17!rE1KrH$2+q2X8
zG;ryTBVX}0mInK6=6_21I*e1^G{42JsihSp=seZ9b?g-3M)PiRa&r3@BPo=GmzU6)
zvu7*S(3qV$k=04=zuW%(_8T=+rqD~+(;8k;1^Vxg)4dn-71~@LUgjCiG^Z&#g*w{u
zKT5Oua7{7hcZEA{g?IkIBtGLoR#e>5&reUW?QiPk$YbtZE1!f?!jRU*7_RTRQgdo@
z16CIw*EAt6=$ApImz7ScF2>$Kw;B`nX$+R?3%`Ti(WgXWD3wA7<ph!7z2)lR@%Mu%
z_C2t+Vf|6LVeN)0D52h>e!|S}%+>EV8+`u!`ERID@Y_J7@wqMb5u82ywC3R#&v-#+
zS<dl!Z=vWYbStSL&A&rNj0_o6?|N9f7cO2rfx4rpSU-=h4m(BbfqIaoA#?BEIVkvo
zw*AE|qca-x$Ki{w4eQEXE=%f|{h6-HxN`_oNeOF1c|N`4VEMwUSFgIr0xx-QEk$+^
ziSOS?N=kySeGUKsCdn0c_Ip*G@};+*o@|=bvoo|JptmJ4o;%ed=#1sScyOF_pqAQn
zSstPh-(NX~`ly;Ld&_g}s(mF+16{uu*4TI_HgN4=dpz6?TX}T2=d@eYW8kclb^*V@
zqD?lE^})|dZ+D;l)dmC>@$m3G<h^Xf^TF1@S~j`;Y0fGQtkEi=f7d9(HIJt%(B>Q$
z`}lm04z`eLqWG5g=1o%PsUNo`CGo90(;vePh}5dup8N$6C#FZgz+6!<K0123FgvTg
zBq7ROT9r(Ym6YXf?&RboJ@gSMh5#)B+ASlvT-92=+O$w&rKcQLi{0I-)r-D-xq<#Z
zI?Fx5`h8==WuU^dBa6G-=Er+(r(N-*9p&I1N=iy6-Xa6ETr{VCT(<y#E0Lr9^+|s1
zc}~Mb=Biu&<<#$MX;IMn?>i!Z>)N~1&>QN?T<34N%&6>q&CSkc-&pJ?PxRgV(2`$I
znvqLVWZfP36z`GevX=j<M$&KckcOzlM6{Kl;nj<xf-e@d3(U{&Zp<G0$nv<S#L*;9
z$hCRi(WWa&=IqYbs=r$8FY~HhgT^+|t+<Y>yBX?fH|+X&cdASp!nCUWL|YTZ!{g$p
z0Ti=@;L|_zsc&fT_6!{upR2-{IVO1Q{nK?bgWiwipj?D#=DKr2X+^yr);u}U*w)q{
zN9TKWx_Wyolt1~pl%%AsebMWfm`p3tkfh%OeWS(w_Un=xL*yhR#?I9vP?UaO9V)Eq
zB#K-&w{;)(#rQ1GiGA0I<}%#$Vz*wRmD;SUt9w`<a&c|#U|>LRz<as!meWL#vWdHN
zT89yohP8tV&-IDIe_C1?^=x78^Rwj5vyYFRGVU+7+wQ48e6H(Ic~MnW_2;Y$6G<wJ
z$eIf&^{=&`JerI@vAZIx-~X)-#N0Kyc+X$FFy7x@wQNs%zTXc}#kRT7Vc0-PxJ=y2
zv7RpVGwv|&aAl>I2s=w7?6%GQ_AL}R<}{?sDPnE=3Y#=Xf2T}R<jbXXjP^TJ*9Q?Z
zqR3u}*bh~drkeTQ_N5zA7C*Q@M77oUhVhQF@+lOcI!xWM<Du$wQs~Of7;HQG!-o(2
z$%CR7Nl2amI^7Wy7Ve+qVOENJr2Rc{THY$0`!C#+6!PNq(3xzjj#MWhM#ft6p#Z#N
z6B}?pc$t#_6gk}@>*tvdvb^Z;4pRuZq{sO!7WDv8nrX1K#VrpTDpkYE<CN2Zf_Co%
zPkoP3@8kl7)77h2j|T?_Q;7SCpuQUCeS~%MyUMp*+1O<&O4t5&mPQVWj43u}Yd{g&
zido@R+b%|h^CzETajh|YS-hh{DMRFdY@D<WL?wIQtUXGInEH3d+<8B8o&gHmdtR%z
zsiwAmeqw-Xt`Cz}$4kOTRFY-S?^FTEQ(9gx14xpsl_y!H$?T0y29EU!rZp-cOB0>s
zzC08|7vly{wPJTJODuHpQy{G*R16f^;E@NEOn#yqHB!lu=i~-o0gP4T+dI%owLW|H
zY$Q2c>>JDkrlal*b><evsLENWIqy1dn*We6GNK1s%y^WlR3e<DB$?@ed)Nlp(C6*z
zWhf<aev^@!wzRJ`2A-Ta`^A1xDB5)wkWkh?NGLt&;S+(zd$IiI^YZd$deC(I_5(qH
z-oM)NA7i<D(%j5!G}_SbHh`};A3mH$5fBl{VWT+g=1!kKUsQ^o0ag;?y;OP%dPXFX
zzB<_ni?#%0*4T2oI&@`5D&}X1oH>2EX09viQ^&=4d@2EZX+1sas_n6}0NT2*eX!%b
z{3a^u1;EW@_=*x-w{D(gJ40f<`3;I2-kY{Ne!cl-mi@&X(B`<tc|P2`BQJkDO)36{
z`;s0ycNjp^CH2&Md8KXE;k2S(fEF#=2FVVVyGJ+F?BeFReRo|xP%i?xZ6Trw+nDcB
zR`TB-4WtmTr{>fvxk9=Q1*;*PuHj~z$Wv%_yARnymJV!OCmM-eW`CW4Is3ZbnCHWz
zh2PxgC~lzIMAl!X3i-MwMEu*6$u^Fkc=hB7KHk^G9#}{;-GYAm9+<h1&`?sS=+0V(
zl9Er@W8c0VbBg7+>${32qT>Hy<{4UVOsZ^PkkGLP6pDeDw{wv{OFb<Nt0nRYz~pds
z^^^x-EbDaxRkCti*x$TMJ$MJGNZ}HUsYQP$Fs_PUe0tZ<(}@i%x!L{xa=T*<cvf9Q
zgN;4<4WnELV1ULg7z<Y|OqOrzCLkZHFr)5lZT{u>)hW-h&?EJKuo9)*%E>p-6QEzw
zd2F=H@kOFFaxTLxm~kmwgnIaFx%$YU!&hbxHy`+pSvkoIHy2~FiP6Z>q37T@4@kDX
z;s<CHdG5;wbg~b4ot&E9G9haOn-BBk-BtlEf-8)k1ECjY*r=wh+CZX)v_!u-)%Yck
z(dXoM_gfy`xB|SjW6i6Qwjbjl2Sf{-Pv^6OhfI=ZFJ6?<q_H8yx^$U=k?~Dj+)Loj
zR=GW~)4|nY|J0I)51NMYUc2*I{W>mwxXlO<Hv~Z^aGY-d@(>CGSBtc9%Z^l}zdQvL
z_(_eaC-CcdxOkWxt><x@p4@tvq<JO{gnAVo#6YqvyE37Mk=(HSc?E=r>T|_E_pH0K
zgQ22~u1#XKN}ZUB9fre({r1jVSy>UBKVL7pHSiQrc@lgTz{ac!@mw^3;R>Lp9!sUu
z$ZSS>BoG%F506`Y#de|ggJniPKi*E)E=bj+^P3Dcxf6PLu$SyK+3Yd#Mh=DIs@x!P
za&lVvPUYZ{;%9+y)y@p{Q?s+PYYqq*VLMGlO8QhPkkANLCqgdsoTrr#F2>ExZP}Ac
zBjh^w48D+&le3i^WP_P*R^;YvF7^j{u1^^OYXpcT1I6d{>(>FuJvi9KN!`Cs=H%==
znA!hd?=Km{vkQlWPySWEf(9CNc`y7ePY@ITuPJJ8PKD8mhP-}#A>44WAG5WU8lh`z
z@{jh^@ZSh&=@;mqt+-$Kd*;HA39+#MS5&@#uJ12VQP33x4T^Io;SaT#&+p;U?UzX`
zckbSmTpp@aEqAjkZP_#c8ouFPg7+zjTKI9MVYS~4igSN-I;rbL4Yc0pKrj;Z-rSHs
z7_w$GY@kffUhD_hS-vi6hXLveUtF>B?QFs`dFlJ~G$I}<o8!NJ{o1D?jFh~wRqwvo
zcj9SH0O0c51f$E3f`Xb)T=QTHh!t=!ULC9VnEGJx2msa<&;kH&TK48MA;>#hr|3*+
zX{lTEMai$GJT;~~k&c~aas-b7K8*|?9ST5odHV9@IpowYh1L(#pL+IC#4XpbdWm;u
zdB*i%*VRAJ;2TtBz``pdPl<MgBh-i`8|^%xBKzhOIuxpE*CAK&3)UdXx`-X-$B%n2
zX+<wXjb5%;4;w^yY>H4KTCdbtU0F@-ZQK?B6swTssg_u$5AYf5Ax>qnHkwj^1!nAw
zvM(RmXlIEZ?UOE7?QsgZEd;^p2FV5A(b3UzxJuN(XH{l@tNN(E)Op&r>X|Nklv<Jh
zY7ey8IgM-}Gf@1$etUkF+qjMZQ5K;$!rcF=?>_iEEy3#yv~st-0tHpFY{P0=pl{Nk
z<q-qBI7R1k0ptny9m<i#_W+uLf$5I72n^RDz#60$B3Lo$`sMt9kY8|BZR2aA4P0&Z
zL|k!m4@%oQ=k0rP<7?^KDqX|8I)X`=C%ly6ZjC|#JvHa2_vPwO)?bIm@RPX=Vvf$E
zepdN<4*=%;UFj{*ovW{_F-k%l>G0%<hLTbkqHdl*MRQdea6ucm3hUW!?w0pvHv2p1
zL}?tWIUKshme!2(Hi!E=hlGMxj*sU7aiPV8U7UwY@(;8}XdO>+B%9{0aGaXFvT}6)
z7w;{5bkA}Q|C(#u<GX`ZFjF|WhdbP2Zx}s6T>;8A_2r(1hDJu~G*F6IFF;1KZrOkY
zoj!1zd@o^Ne%0pe-5MuoQjo2bM(XM58B=^aD2X5BxbmrD-7=R9y>46n=*)xAYUnO0
zf(G=@C_phu^~!pXb<J(z_os|j&{{&_tb}ux%a^Oz-n}0X%uQ2_)i6&~_CGqn=q(TX
zA8{NFWj<gF^ks91PafKsPV{fa?e9z{is>qQJ_7n(nggoniu)}C)i;}o7aq5hbG00u
zWSe&{fx$QvTCa8qxq~*561Qh3n%;SgJU#{5KuShMy>Sf`U1ZJzIc=&2bxGXPugHA@
zbe)Kfa<@fEz?7hVSgU`x<Yi!I&(4-QYgyy5u+WcbTQma!<ptC^I%#z;04;AjKx_%8
zW4vAoSYdBtdrgCCN2pa|GSgSo3IkNh2UY?q;56yA2+prgb-Ibun~0K$Ld0<1%b!@z
zfVv(ChaH&odMV4O1MnCGGn){$pQh&KNx**)ZI9Mt1TS!MZGD}Xj&6C4WE0AN?ZX=%
z9fqsK!sW9BhCGhJ+=ec`S;EPXl#gIZkh~b6kHbp2>9sL4y8JpQXg>sFNg%12tB0UI
zyQ*`*v@Zd~mHbO%OkzQZ5}=SgfLn-85>C9=ljwhV`s0k+N2n-~cb4!2lp55Z2Y?3F
zGz&{bl3;Yr6||D06ANDfOmL<-0Ff4#RrAYx<)biI<vQ27YCQ-XkrISgxSNl9^xds=
z%sbOnV_Gffk6ZWTE_QjuuTD;v_S$}j>pzEj&trC`%x&=u>OH?*OzI>lDXE#00530D
zqR-mt)&x;D(t5Z`C>PtHAAB*cKXZ<X|J>;4sFP=<!E#}|MN145mR8(vz^D{pr%gx?
zD?k4wxPSFfn;bV6v_VS$W}GLXN@i+dVKP|e%HLo*T;&VUtadl`-Uo(v<xoO^R0xAe
z1B1e;U-oRYHV~VCu(yTrK6~Dwp%X-;AF%>Na$(dpu>OtsW8rP^dbBa4`bSA!h;^t6
z2Ku6_JHDgpDJmD-=nqU3Am14j#ZB{b{wmB#XTljho`Tkiv}6MV+CLJ+?+VYGKv#8>
zYym&a^`OJye8+>C6TZ^<?*m~ZjBsuAv*5jq7hp)xm;$mq9*R{n_vK|i>utf9U%&;0
zQ6E8k40`!;!<l!Iw7(Gp9i!Mz7kwCD&L2A|>Tc*cd9ejMi}OO)k8o5SiVWwO1ZI1$
zjMN}V2w??)G)6&VNjI#n>X@`>jk}&kM13n@d)p&+hn}83C@f6Y#fA59HQc{M)aik*
zp2s?cC+Hb8t)cK6fafc)B$Gf*YHV(n1nC_HDijJw6iZ@sbRY;~D3-ocpl>2*D2|St
zJP-<Vl3L1LaA80RultpvunG$6E_-ToB%2A$OSgHr|58w?Ru?hDNr0KQ*RWi8C?FB_
zM+d`4f-gUbu!K*u5bq3|gp0m_L({?;*TD1(yTqZhEqs-Mp?dU7-4&$pfxUA~LY3Jc
zdaqmcxjttQ2ghd95{q|Yv(nIg-rtrGP2GOr)_~vM;u<|;fq9G5&Iq};Yf5VB*eih{
ziFel&0SXyysUc>-y#x_T;KZ^3q(B}2nWHP<vojf8;<=tW=n9nkUhaI4q5laK@WZ6K
zr$Tr4B#M63xlH|_eD?f#&BGfd`$;%(qM9gjqJL)&R(O&^-D@au9RCRe6&qM2vi{@d
z?_#@H-D;=l>FIIM;u?T9KLWj#k)8b<X29v}Ar9?7y51&^@wT$I3X2E(p<?wrRmpsA
zIh^8Sz@kK;%}be^r%q}4GJ(bfs{|FWG+6GfX9&8Z*xtfTMD{|y>D#w&Du6_QQIEhG
z$=tmg(m|{vp^9&Lba>z~{z~9yo{8N3934cPupFuoGytLXDl>C`&N$rblPLIDqZd?z
z=N1W`C!u>HHeZ6r*y$E!J^t7hL>xpI0m2-SmZ*uQeL+Z*Ia_>*&!+oX&BND>r_P=|
z`)6cfKw)ORsCoDmXw3rWI6Jo*ZQmV*I7xyyLFbboKJz8`?OO5L^^pPUMeH@-t--(^
z1Ml-N+>T|m?vcg%+0X&=Y<qc-#aA*JrHkAN&|=78+<t8oLIZYN8t7f}$=Sn{0CmLD
zEta{=j&<ixzQTyNg%$u%zr>+}HV_rr_$lS|Y!QZU(M7wU_oef6D;`Rx*jAgNlxhZ)
ziWk?_QyaIs?KqZzFu$2@g4$^Nw%i)1%;P~T!@AFryQ6+-%88rlxe_B*iQ_Pj0nu6h
z`W(Ek3ukh7gKF4g{CprcI5kE<p*$Ay8ZN*x0Kt;ix|1MT_Lb9)wsw@Ssm0y?hEx0f
z0_W=vrWZGz>fbFML%nNy2Ho2DYXF|*?=SSo$Q4;X;B^?H1|0Min$UnBLHZ>ag|(ZO
z(1i`qi9swMJ!TE6?kk<6zNIpheh8lBN{N`Jz_g}#z$iFJ#_%>mIxkf)x_}n?-_p}u
zExW|2r<D|T^8Dq-wM(Hg6`+MH(G?P3zRX$$kc(t~7pN5Pp+e)Gf3g6g>9w}}XX&4T
zO}*yOYQMQGe@~Kt+yBr<dkK)6Yl*UpP(1327gXFayz3yW#1!X%qc#S3ju2DN3f`l%
ztZZ2}7c+C3bev9jJiy_gBAXteY+)WAHELnEA7<HAg+Mwf+cXV*AIy2NUkarVcFRun
z-2gfNR`xV>@g&e)IOny>-Evx-<^sDx;*<hEGZaepEj=hiI3<k5-sWNwkU=FA1aQ;_
z8m80n7dcJdbsVcZ4RrApiR(a#W9<@;Zn5okjNNCxR_J>+LbRaiOxkK%YV^6~?JoNt
zu>lzGFq>|PoqlvMw^`KVrqkb&0L#DtbpdFoyS4^RVAQF2!Lh8sY|p)Qy+wecZu7-r
zah$BIcl{1~P4cuR)&N1STia?tBQ4cy08bkru|+r9kgLZZuuHia6i~Z$!Kr&~38H4b
z3k$Z1^`9SDTW4n5AOnR3TTKC|a>&o0DtSQq)zEDna44s+Gozk~QU@b)7HB{fzx9t`
zD(G#d0LGeJp$|0cm2)dpQr_J@T#7x}cet+MZROh-lh*GJmUgu7ZMj791QF8~YoN>c
z0Wed2eqSbjU<qa=F^-%wUWpkxnn-R({MA9QnDza>1j6AJqB(o@qsww(i3~2S&2cSC
zy*St2xr28lip$WxfYXr4Lo`^PfSyc-*mrL;(hLEFH-{~GLxh(~q)-?5tUJH#F{#?5
zT?l}JQrf|6nN|JJW>H$V)Oq1vyik|fL6LPA$+dS)M%h(S@87eS^kN(gGv@QIeJrd1
z-PZvV29lX|?l?$N`P!R5KS?<ay=77`J=NEq1?_>5RCJEt5f{U4@?ub^v!Mp!2aJ+Z
zQj3SfDs*XcW<ZXb?WnAR)d}dKNu~&DC@1bN%9j(+*L{|M$IDgiI<HaAo!-9%{f}wN
z#!kQ+iu-XCx6{O(Xfv$ylOFQKX=_C0&Ne)FegJ@RZ5ev2vrgcy9KQEnyZWKhic*4z
zcCNU9K#%<gXqk8t;DklXpTKQWi+Xiha9iOv`yH@lN{M2NUj~>Hea1Fd?UX(5u0*A_
zjmke!IT)|Z(gY1@fmQ*Atr(-Ey!W4mO@76z%om({0LV5vLz<_DfL3FL;ts?a8P2%<
z8L?BJF|wT{?>-+3shR*#X$X+<jEt(Zk<ljzC{*v09G7sJ?`~Nt3+cH?NqHSQ<W>8D
z64j*fd}xoc`RZv(@XwThiU{5{U4;v|4wHg$n(ExiH<6KM?v()aE~2CXB+(Q<jXI9T
z7&o`HL{>i$u>2`OcIi^HCsd)=SUM4ppZ3(S&Xa)k7*94wjsd@75EnOO31NU40gZ@3
zP*B@t=I8D10>^RLavaq6@8;gSn~Q8}YHFswAaCiFyD1`W{l@a}aPo0372e%($a<hf
z+#vgM%Vp+u$$G1>*@yE~{I>?=s=BNF{V4;Z+L<;#r=;|{OduLJ$U5{t%nJslfTyl@
zD2oRJcO^(}hq4BGN?)NatS%WRr+h#tBq2!zq4f+rH*eO14OvgBEJ6>c+AhlQ%frWt
z=e#Nne#8l?e@;s~3vYsN1X+^!{AJ$Plfc+i8N$H&ZrXujb}^Kk>k`n8*ZprJBboem
zCdpN+{e1Drm@+~dKv97XQq)TeYe{T-<QQeR=$zR?<aI8)309@7Pf~#)ZQ@6I5X%Sx
zBHa4|-09D$sUeQz-<!M)0I3DyO2(|p)89S$^y!l^P;UV7itk&@!L*n5@+zaoJ0k&n
zvu!C_$#t)9uU*!r{9>9?j5Vd1VFGDI)wT#mjZCJlzWy}Ic;@FPrYQ(74C1p~&YAoH
zwaG3l5XwamKuV7|kHR&JCj!jOa?&y~@Mf?U2(j97`2zL>zs=(3=rrT><43LTwZf5+
zh(_%3jxR>Fah&5h#~rM;S!?Fyq5SyYS4cV>s}Ifhf%RJlgI=Ga5dEyl6mD_Q{=N@l
zjlOyP`U)0K!JTuQD^x6BU~hXe#o;o+UR&(qWG2_rtHpAc*|%}zbaY&Z4xC?5U{(RC
zh_Qv<0^{~1nHWDGj`KJ-A*x6vX|e@GrUyemiq0Mwc9Q0ti-5d41c}OV6t8643$4_(
zTZbC!##}GbRc59xS!Nql_SsX)sMdjmX;uoK_-0=Uu;nyrtX+=IwM2~Lw1LC-&$LFi
z2Wu%+aVwDBai+++1pN<TKC^CHpeg4%fc$Qcu8lWocz7cS_-{E*uhdB<ii*!VqTkUY
z)YbGOP9Y5U_JIX@tO*H?GzozzI1ok;bN`w-DhT2*n0dtF(5r&dLnwD=X{b^+s=vr4
zx}^dtJ<@~mz8W#~&4KKw^zN9lC@vz-5ON}lj9l4RIE~c0inU*|xnnMx0ANp`+Cd9Z
z<5-5dQT??m^8t2r#tG=Oh{qRpo8^1}JNynq150Zub{IyvutuD9Y0*<5&*Ksuf`cG(
zlHj%(YUV@RoU@*uB5E#M)So&6bltoItk+$qM}e!-wBtp$rk-9L@_kx`mT&r#zvS#k
zjudIJBeEwx%kFA(`;1jV?*dOoO0oZuU)t#_4t4kSK$H-1%fYy*RU=7-Xz`?o=;LVS
z>GTUj^UerIcdCkFW6fr?GBGx`wdcDZ=S7E1NTqSEtUr@MCqibJ_rhkPhE5;$f#CpE
ze_GXAtzojo`r4Z5IlxY93g@JyC-J~RMwr@KtzC1(b%PA(P4Sg)B*MlD-2G);^?@ol
zYbo2?=d$;Fk~)<(|D&ntjiGf6znwMar2t9AP?&sB(%z8vJd$3ROqmC)zR`S;62++x
zVHDNl^%u#=8eIi!x_`{3IE9rsFO<xE))oE&mCsd}(1GQUNgX>6_8^;T_%2EQFTJEa
zh*LC9R_{#3s@a7KHMxVQ5I70LZdy8q`TQm9FeE&@$EE)qNHnM*$TCI0*UZx3C`|x4
zS+Rp(D>|<ynCnj=aM!L5a-ZwWxR3Sj<D8QY$l`ibeXtn|W0?@&z3GeV(p=;;>~rhS
zHw)D@98hpJ=--Q5k@?e)G-_X*Cq+ry+GY<PEzY^g-@E6cJq$!~g4|yYO-LgY1ZBPS
zVwyNfMMzR(|ID+%z);{Xfo88{lV7&=UX;+7`+Sfj6Y4{v?g;rTx2-?}G&#_v&3U`<
z!j*18)@NJ0)Js<h;Oz^`g5_MLk-N?B#~76l+T}LQ=?vKnw-m8^htAOjn<U>n4F`1l
zHC0ru?0JGIux|TQ<l$fxnD09rCm9(0J03rg)zW$&$Jz4EQIyYP<zd=7@H9Wc1K>Bp
z9DBb_!Uf|HP$GD+zuqRC!wj-yr56q#g(#=9>Z78gq3;16y#faZ9|a5@AJ8zQ_^vWB
z-A;4%ojW|(8U_+64Uw*&kgovM__xS)576CFAqg=yzH=3oi<H7{?2?j_dbw?+-HR@t
zK^;d0KqhdHmr(9-cb*FqZ3WFdxEjzW;j7Dh_$nJ4QwXg=xF+aMi}_-}2Ed8NM}c3k
zveBVjPNNR?j%_WtCuCbg-sswV(CnSc0B1V&nevR*5{Vy2LE9$-FF{6H`k4<jMS4gi
z&{}{P|D@g+FMy=M%if+7rV9!M8m}}+_4@Wty*_}4^!o=JGA~-kAcP3<pBF$iD52ZS
z+1lC$Gkdpz?0|YS9q(RNshCi#aQpUSy(38XAi0vXNt@1e`n1p^v>FCo>0B4@#<m1_
z!AXdL;aiRwmdemK0Vt&j_~57j&>s5^h7F*`fM-U8y5Tx^KU&!eF<kSEYEL4v2x3ly
zi`-uB?f{LUi3c)1b@A>)!2n--ZTiRTLXsXr^a{D{pj8mkiUa}TA2jlG?T3IuY4)%w
zPtz=5)kGjgpszW%i3Wn4MK37WJHCsrsErfkG^}D5-;xcZ4u*kDON@ra7=eXwN|#aP
z;S8g9Ryf@qUv>Y5>M;>3bbenIxL52tg#@S@5PTC^`Fd;{#sG1Opd^)Ee8-%5KLh`3
zv4gDip9qa~=jj)qWJK=lI+QQ+r>(mR(JYmW6QaIC1}{DesC#a$=bY*LDAT~AWI{6E
zQrro{Ix;Y`nG~Xa@7qB|P1neY!R|tV((lZCa2Bd)9rVmMF)<-v1irs_ZAZ<0qRUVO
zZv+UQQ(w&M4JMnkA8)`4N4*Y~%poBqRk+&R$(3{39~T`7q)n1c|6pXJ2ok>}IDmxE
z?;kD=l%}hv5nf`~3IObp3{D$Dki`zSO#++ZV9_?U?tv9NsUfTtFY2wK6n>en*{T;Q
z*jBisDCGC!GOA=q;P2x{i7Jo^Avz|~+PRkvtc8CbJfFx8NKNIZ+Np4Le3mDT^_)z3
zrB|O(Y~95Qn%l9{r%%7<HaY2cfYSuL)iR~`ATbdH<Ib|{Z_^gvzJ1G(2Ex{CeuYr`
zWpZ+ho63V#tE;O_QC)rZL;TjAEQ-^(aPdPeV{O;BHMaaVI*Gd#U!p&+bWQI7`Iy*v
zrz|%6W#D(72_6cGinJ%o@paMA(7Xzy^&)_?;(-Iaj*ou@5@jFtO-OJCwXCWd0J;!a
zts~X?@(>U4071oGD?o!b1gr!V($^FTA_;aDX3);n)G^5UOyp&;oPq0xn->TeiW;Op
zkWfz2`mEeWcw>&&LCrho!dr$o!4P%kAjNC%ux$#iiFMlft#rPo4jZe-avbKu57MTr
zydx(!&x7*|LF3xj^inHOkH%A?4ZcAfD(LrbEs#!)`wFf2_rimMe4d^jx{^f8R|FOu
z#=i*{5oP$R=&&!hXI}KY+%KNKqHL>Ivsvh>d{2<Lt)sE*dL<Ves&>pX#`4v|f3M*P
zP8;Ud8s|maiRe{`Da{8PQZUCXBI72wJcwgDiH&}fkPrrPqDfs4F(fY#QAh=XYT0_F
z`E^cnrb)YJKL~dQCxOD#X4MOc&l3`=l6i2C+~yx?uD-FDE9*@5k5lDR-&aucv|`kB
z)M<$mBn28KqoENswSD*92(C~+j9QQ(jf&TDB!3^GBNHybN$sXG`X?dM#*vpD<>q|#
z+BI3F@;#FT=0rhohMf9((>eHXVraPc!8=vEBABp=lL0_41@~98;Jfn&pgd`3x;}>h
z1N6f>_`mBtHhEfzQQyY@4GR?VCy1q>h2g_W_znWkU)t{`Se++P)F9DL-kFA}&^$Xf
z{anE0Pr3u(ZpmVCKX_YQBipOvP6=6W5+)xD>^(PYN8^boUl1M(7t2rc-IrL1-E}_l
zOs>>h-P|065`!3|Mvyjug$fwV2*d!0NPPu%r;?^b1H<t%YyN(LU+$%&n)sk}hU@+x
zxLElBnsa3pYO#Y}CG{cq2!s)(X||9ju*UELunIo$!LMFLb|6BNwn6-jl`gaLsvs*s
zAo<P~2l+?67Kw;4OE~|4?1ahpmv}0?_>-Xg)_{cYCO-arXg$7+>I6&lMK+CF*>VSy
z>%gNqF=-WE;EKnEZM5&!fA`XMgpN?rhlH#6h1{23!bcfz-c&a@+?+`cPx|=rYijl`
zKk=MG;$R+Rc~KIkrk@q@n-ZW=;iDi_Z!ZAhS)$PTBrEAi+ykGw7FZE@Wbxv;viC0<
zUK10ml2$9KD14K3>v7VXY%mi}skrz71)}ml+)1OZ%o5Yg2{!%cg0WmF)Q3+pr*&Zn
zzkuNf>zhKNeep^*BXtgF$dJ7&kIpE!7O?0{X27nwaYFL^UB{eh+08j$V?~n8ow4<O
zpw0YEUKZj38P(fxgz~y0M)&iSJkm<K;g8p@u(6$m3R4F@12Ux%LY#9L%tvgWr)A4Y
zhmor!T0AHj&3Ru4E~psr!LuJ{DmsLA;|kS}l=~pvqnj9=vSUcJog2O&PbaRjmwNcy
zKVYj5YuKOGGw%p+4#*wtdp?^>`T6-1Ih8NYQ5rj^gkeAm!V-TUDtUFDSoNbZgkZpJ
z)KL;Y*yw0%Y2hevg=CL}Bf=y)QfTx~{SKSUA0q$t28ui&3p|#)6x-IkXpBj7bMxD+
zAe(^_ZqOjO<ia-Ry0D|7IY<Nnz&q+I5T8|ON6DZ!Av&f~S^?$i7m%$K``1BZE~EZH
z_M>y_xG$)EKK#~Kg@i6UR38-k81Ad_<AO{$w!8})V$y*Sly@uwD}BpIEbKD#@TRip
z+n*i9U#^KDmdz#)lGs=H3m7Pk_#biMyhK4rcty-8i)0=U>6P_C=GC4YmNN)*M9CO_
z2WMbmliw48l-XHt@&N2aHz{~y2EP=elf567A!8Zboxg8%*LQXeazng>yOZFhM0IT1
zKfv=iS|8}Lc*hu$<l(cd=eqW#a5@#EU+Q#1F^0DW3OX?rRVdggf{GP=$%l^9AT2)9
z;sge1@EFLURN!=;fU%PtC=YR)U6%C^r{?rDkCgM>`>z?UJfQ1+C+6q57#r1aaLNN+
zsdqhVv18T+@;Y%o)zF^M=-NKzQ+kHJGSXx}famc5@`)zOErsGP<TCSd=WRO_3**^e
zDJcesP-Dlrqkc2Cg+k1y1d@4p<gFkmHopl2@A5m6oQ{eI^K$<ek8xd)8oGepghX;A
zuYne{@oO7iq5!p?LC!N<7eff`11g0CI2a3V_qu|q=S3$LN*|5loBwz}`p6IBkBF{~
z`U+MXH)K2l&7Q`49e*hte5VM+_a6zO{j&tu>5osfC2|de@G)p!g&T51t$?InN+Sh#
zftqiW)iYHo?4p0;d)LBG0EfWh(a+t2eGcI5x(8R21MztC33Ay^+RCeD3!(v8f0is>
z<0-28`ug5VX}ay<r>}t*6MdYy?UFKTRnBWaprzyhVLqc$(6dcOzCK2UR0WaK^=8`-
zBL<z8fkL^UI;=F$a3|ONnjVNIOjzjX=)|;m+O~n0HEChz;ZaiSecpS0eZZFA1n4a)
zM0VSX(l;?SmW@;l9E6TS1G!Et#<Klea#_Xbj}JF3JJX3d4Jv}bOdW&n&a_0HQx7<o
zJq;9k*Vw&<%u28!oce^EhBdjZ!123|IOh`WNA#M>>lt^TZpCRZM=qQuB8p~Q1wU`{
z;+d)mAb-rh`)i#79Lsw|D+b=BV>yd^fade;`uWpNyW@zwt2_u|cJCq)JI_i#hNJ*`
zmKhLxPD5NCMSzk_>j;*AcP$v^VsJ%;h;}O|ji68lgT)X8<?JlV7$TVbt_X(e24`H&
zSpO6u_3L#!WGfaz`yhJr?1ChsY=C^wo^Ph0oeF}D+qg!LD+G$t`b(hX#^U^TXVb<2
zNW&HzP_d?4<4F-KZe2=Bsvf%aVs{sWqVXg|c4v|adn|Z9nCe58Y0K&!gyl2X3&5L<
z^#ob(?K<!lHRIlI-y{XAK?E=c#Nm|47Q%pp^+6D42H0a~T(rbh1POj@>W{CFkJSUs
z2V*P(2QHENLSK;rn4H<tG)vUNxtm)64vwQ7`|U7-9Mfk(IPauRW31j^3q@UlJxEMQ
zS`fyH1$3(ml0i_=08ud@I$O`X*RNHQ!fsl${$2=&4G4E2Or#B2T6*dB(x`+4PPkTP
zWOGSrVm9bp^wFY^MglrK#KAQBBWG$?cOhwtLkwtR9p>I3$iv=?7?=%#9%I4G$5DA;
zLzB#_G?*-Jf03*F0W1R~*U}J>T#=GYY5_>(Lefk{ndA5ih{BM#4>$&<tEGgnV;+r4
zDlSeey1_o2FFSNdC3pi9F<R7jw-5}|mn}lTFtiv5UCR;3FzX|?IMrOxCdP&e0<)ro
zJr<<59syXbYB_Clu+0q9dk9rA7;+kCLCt)|BE<EpqoW=)R|YU7*tfbg4Fz+0z<uvN
zx{a!Xsm<pQT_n1AaAX5{Muha#L!YVx2}|0~uS$hXhCtPY+QQ5%xYBzo1j1&0g)IoE
z&DjGJE*gt$4RZdG3#h)4KL>o%62F5oIb7w&F9n`fz)8Wt?ivpgK$V0+H(M`t5bg23
z*a1MG9?Dle+#qRCPFjxA5SeUu!)g^YsbJtulszvgZ&G)I8o`eEFCb&r!;$aOXj*x!
zQ{yxe8KK&CcR=+(GUaKm8GDkbIuLKJhS7<00_HNMEa+tieV2Z7X^;)sFok@tCs{RS
zH+g7oJUXq)>dJz+LveIgRf#}x+wRUUh+pTyZk$!PdDu358#)XCC?^_)D0auPgOpVy
z7h%%dN5{l~q^i%WL9<0nL4LYE9fO3c9x#>X^Zh{RKs0&*b9W(eaDiYFwe%N3PBswd
z!B#W>>OBHIr-^8UI+uiyXpZ(ZLBZ0xeeh6*Cd(k8+j5xSbDc~w2z+A8p@fHuD})ey
zoZ2q(Yj@q8>qrY%q?!8+3OSUmI|>Q~RH1xEb8`>S29+dOKd_*k{M_7%JM6&b#GtN#
zxo7Nt2=>6>ZuQ$YZ&Z`Q09<2tx=lZ^&6#x?igh+ife)|_hjybhfiU8G0fz*iBQU`%
zEt&R2tjOu5gOBGH^gy9o=>B9syuZJ%RuszyT0o?$7U|`%^mlS7-uQk*l?C|hHcut$
zRj4~H1G0x1!%s>Fp9F{i>mMEfIgIJQ$;2eXDFEy`)^q9mF$q|~_twjNBS-AIvp@9j
z9ROH#)G~w_0BkTUb<wcc_CuQqa81o%T&DkhmP6~l!VDI6c9#-g2tEX}mqSKp>vF%;
zkceDm?{rXjI9GdEw<{Ekd8TIn^%ep9cxKSR)>-`MD>@K~rn+K7@j1cEgXx@2r!MlX
z@0%I^5-zw*AQV$#iNe`OQZ&Bq3=Ekp9-%L;bU_#&)NT_<1H?4XL#h$d%MkKZ%jgkw
zThQ`>-H(LR5E!9^3cAvFFo75dbdn=M2IvN`U{+ugsFzuM)ywO!H6dQu{iMpq=UvFC
zm1En$ku%^K1d}{AE$`S@SZp*y9mFhUSLb1T_@kqQc))gN*De0BRQsCs46c$nUNqv)
z0jr-U0P@-u*Z@?f*F)nz@EA(`DCE2Ig#AGdMnZB}uk2`xOl^mEh=n>cV;P7&L;nR_
z1(Zxfv?z#JQPDWTj*qvG?L%k)NgULAK(fNdx#{!GZZp`xII`k2w)Rt2XABA}8?w70
za2^REzkT=4j?-pi;<iFU;aQap|1@amO3^tFvMzx`K|R!5*T)HdAI7^k1GrKO5TLah
z`?<glt51^y{2%TSa!JMW*+f;Gf5Ha(Lp{h<yrOqnJKEL}`g&vnyqlk>+mT63%wTA1
z4JhWyj93orF{lF{<ZfjJ+Ol`LwOAOmFaQ13Kx`nZF92Hz3;TblyC0YA{R#j8o%iO#
z_0=17Yt0?bow`%4@$)zMz4s;oW`2hrLQG0J-ciz7F(|iL7;c!boBH_6QAMvou1A?K
zjgX6kv2hZ%N)PsyJ%Xf8i?3J?B=<P!E^UM4=3QhDy>)zepC|G;NGixqzMz_?r;zjp
z;y4=Jppb@jf+*NpRX(MI3MZel46^(HK_Uc6BA1lh`qVQo117pH=WVyTK|@Rq2w_au
zl;T)oAVs#}RSA(4GPwFNFl4%1J|qjstwix(lTo$hY!`<L-?7UDy$aq2803Nu*YkXy
z*cM|*g)=~C7y#WF=++SLV=;$33RkUef%z+}Dv5@+wze@ySxDZVfuCOkgcU%gY_Rkh
zpbyZisjDlnlb&Pr00DX6a@Rv&Unml8^VlCh$Y5?<g3J#o@X<@KhLZq57*905L3U#>
zapK&sf<^U`T2KvvSjd-NyvP*8YsCOr26{-ySh{bRfE*3JpwITBG}kPyhT&4@w2pkF
zB7!Sf21&{k<YK`-f~0mR^odYFu)>20fFI7H#(*$(6}HTo!MBa(XN&jWv55nV1kNM`
z)LI0Ufah2TIz%13eNu3-mE%+)i(+{?XwZs~PnQ7KQ4Y?j9i}znOXdO8Bf+?_wDwhn
z_0`88%>O|451@hoUJ7$)`nY`T?g2$6uG<@W1h+*ib$gmJohnda*nKDsMvXK;nR@@j
zbvj3Y3u+F!R$^_iFXk-e9vpnoU>ZDkvn`LdrY2%Uj^2i7P91;}WXrb<eE1op{6<?^
z+u<Pre?1pqbo9@ign$BK*l^0J_p56#dI0(KS&D5j&x4K*`i^oCpcACOwO4pLuYw=i
zUl~%P$qmYT5EyE~;B*ATq6vY@+uR<E?6*PU>VG;VbYtEkP0!0U^G$+ti((BR<<$f3
zkb!z<XYa1MfA>}qK&w2z121lnmmM2u+#3&#AOIi(T(llSn^&L{+HCn}i0?KIEsUR4
z728eKK$b_lfsX8om&x8Uma-E+;E2o!N`g^9t`BTRGJtwy^78VWdju(bup_~<%6d_b
zl=wu}1$v+Tn*t|_KpoZ>yD<r#7r(M8JdS|X27>z$M7qMRa}h04QxGX-xy2Il1eS=Y
zsp*yL*G~h8*mS=mE$vtTCtj`kGhL@Bvx2D^&T(Yg65iiP4tYq}gL)20f+P7~_gnDp
zhCh!fI1vemK@#0#0s<leH2&Jr&lP*ikpVRVp@?S&=q+bnY3aj%-v0hQ#g4=kWm?+1
zpo&kn!OevYzAqueJ~n)Gh(SKiO71~qutu=_ACEei5U2i+|B)v9_+Otf;Q0T;^Ai4R
zlKS5a`v0lNGyHEIj&(;EwHDWIDGfe=p$V*cxc8?}6B82>1fxA3KA#|vfI`WrzK)HZ
zpSG+(v`iRVl#0u}i<d6#3NkE1`U$p6qEMhwK!|1!`Ik*+ZrI!esv8OwT0gdR<XiRC
znfn%~@3+&~c4<Umn^jx8hoQ_Za-bf>w6ugMfCfMiHk_r0$Z2WAU|FFgAW8_RJdts&
z>Y+F}2;U%<qEN7B8q8F`u*SXS{!%Rn4#9q-Z9Xt&lEwhe;fEw`A7CBt+zGnJs*P-`
z8-w$&Df30`4-Hj)914Ww-|f;@@WclvDr~Li_*tQNCHv%FTf*k!XxF`G7j9P*Js#Qj
zS0`?(f0#T}^>8rIt5R&HO$K$ln(pa=-hH~XOQB3G7(}U@oGUOSs6i%Bq;Q4IvHv><
z_P^Pk@PGcPB9Z$v0T=@M*B?Fvg9K>=N+S~ghW-3Mp<q^k*BCR`_~S=i$VIjl@LNWq
zQkRT}39q#IACeM@Zd`yKD!00mZ~yO%&V2vmT1`3Fw8$nEro&v8kkrX=I`J?lBYhF#
zUK=dPJ`E5PjUny<8+h3s*j8o7!bJV+#hUxEROTsc6NMD?4ZvwX;)ThPJ%CeY1qB7G
zeKzRZs$?RE+v5NV1VPrn0X+suP$Hq+8?d!it$q?)_U~g@(v8o?9A5@<9}dxjk8pKJ
zOdeP-A6Gf(<-kE97=j0oLKgfau<8)awgRlRpYyoi1r|hq{B&%zEAl{*KQGn#OT4Ft
zevwE%1j7au0ODKZdpb(WVE==8LsS4@(5Tq|ICc=L&l3U2LV^v4Le%SCj*c={8<YeH
z0HqoKalPr^m_1<M{7Do%W8}F38l!uSlamnj2->5Qy1+jNCRSzgKQ-b2_yctqZCS(&
zI}T9D{@*+;>T5Q>+FJnT9?kruFJDKJ+Q@@D)bCZPW&AoKOaVr)$4xQ}dKXgjt7})v
zAUQ5*cZ1@I6IIu==KcE-B1cbxy{NM8XN)!6@li(ioSJmZgssk)9`L_nkI*%ezHzd$
zvL`1?(}%)qJmNARWZu6HOKZE7;_~IW21}ph?dhZo-@@CsWxphb&K>GnT3V{uCwtMo
z2n>Xf_%`=tSn_Mvx2yQdnoN1{Smt0m;nF^9NRnX9d`p>fywG##PJQv@R8+dTRW1=}
zT0ZoU@|?k_rgikXq&|IPfbQ|(JeB!ST<O4-^GwIE${EgW7n)05g<NfQuYXd^e52Za
zbUycl34ZylgwV%m1|Re7dA)tU1BNF|=z&ZP>T`Y~N*<h1=Ves)%lu%DdOtbRjXc}k
znvF9k-PB?~+RI#2`t@g!-}r0g6V*f<=D=M#<J(nyqmyQK`9@GWer!a=v8gNa@0oBO
z)Ll>a15xlbtcftZJzkXR5R0khfl7x8At_$kH(qEdL$s-vbmBuxBJoOrfWmFUu;gGC
zGLZJc)`i<UST|6zA*?eAo9$+yOmp$_-XAhZ{`e6EI~b693G?$$rEP3#f=6#4l{QU`
z++m=E*d@CE#j|Hu;88fJhmft#dDN_yQXz62yUmi^9z-qf<Cor659+XIy~2$Q80>w$
ztu2c}t{E4h`&k<21CCl{3~y4L1G)I5N~dALX73Yu82yT0?4XmwQzP1lPZUEW=t`lj
z1Kme4a>Z+;5QxFL9GHQJd=7{=Dge|jGBUDlK3W@ZSP_xT7sYCHVSg&>E8<qK(3SvG
z!$a}f{{HFUs!Mu#6W)7;nYkh7cZFiSv>F)`3u%RQO^I(k<~ju?kAXI==KaWn^#-wX
zspGN)qtT11bkT<)pV&|AZJwAH%O+^BlKK5Te<Hl<`K~j!))sxZI^6Ug)_qYt$i!ZA
z==2BYzT7N(tI8K1Hh@(e1gP=%3r>p)j8*V;@lby<r0ej?gDt8k35aF>r?+k#Eev}4
z+{aZOt!{nb*!!kt%18EC5<iKAnEW{RiD-tmI@UHg>x<d8ckMEQ#B*fo=Ou9rlI>*@
z#D&dMzZ7)wRD<vzoXwZ1B)Iql@7e1cl;%7Ze*Qo2k@ECTo8GFO-|<-Spq`3bKk#d9
z5-g~g{;`F+wRp@xzHGD4#*E?xq^pvFzdUc46!BR32wQ7YLqg8LGhH%);qi6r7g<Ll
zkwJJ)!Ie3?WAJz^cuDAwnV&OAY)ebrpI{z6(hO_afE+D2@T#K?{ySJhYsepTb+<G&
z{*)pT{S3&~3Scojcto`bLcZEDJZ5+6{1iLx-=N6GrINK+QT_F;s5ue=JoHuAy5&WO
zUVI@1$L|W|s!9iIIvu=T2#@4|>yrx`BxixwhI>3Me374T_xESh&?TomKw2#_t`9LU
zYEM<9LLTV@#+22H5X|RhEVkhDKkrRHYqEm>*XIHhiT~%Xa4Y`jKK%Fdq10F(6>xHQ
zGvH;Vp>|IdHbufI|LXObE$qq;`#ftz!gVv;muz3SkLoq;0fxc~;ac5QwWBI?t0r$h
z!*YVHIoRF1E+w4;1+K3ewxZ}ds@6=RaPzAk5n53!@@qRjYkLP#xGqk5dF|^~QAI?k
zfCmH~c(FI!?4$A?Mwu<1Vv5vQY|Br$nml}h$05<$hzQO%4};l%Pusien2ikz;cUv-
zO+1Y5^w@uTOh%_-FO=dwnXjg+h`LE@bC@e73dMU_iubRJ{J&(hk$W1`Hu{K#k&!W#
zuSD-iFamPQ##+HR<D%+g^73m%9_a2zrFwTmYQ#Xh9-WPdAcLoZ6?vT3$SQjUnIrD(
zIxnTPo7bk3DDS@2?j9S|`L^iB#{GTT7_g0ALMUN_f0a}?&Ze+Sk5g06-lVJA2zIOw
z*t?(0%KP4g4*jIU@}ldvAy`8^BqUj)Q6w7;=`k}|i=vMJgPqIFlSNWfVu^UDF*-bl
zxEqQ$Qx5_q=_y|jCxmSg5#;?IUM*HO$s@}0(-Kg;IW_&NYs`1=YHPh^5U!Ns%=58B
ztyc|;Sw1b%V|xx-lmXx8`4jA?le!odYdc2y7!!)~=%;UYamk`kw;o(r`Ht7Y`#|GT
zKeh?b-ZwfDFkZ*jj!8~-oldpNEG#Un-xKf=qr`EUpS^hT;#$K)I*m$eOhtvBpZ~tz
z1NG}SZ{GBg@rB~5=R5OO>Dk@LY2zCdFPlnd)^^CadRR~3<Izm(6-vYYvv2eg>|yFz
zg4BdX_JcZV3#~F)4=SyDmbb9;xbG!NGYX1|=jqZ6(3+1Wu6)1PtE;X3L2qfU&0^JM
zpmUS<RzgDUfuDb6n?+<BO!v6E6i><jo>aCW0sr$?xEKF(AO4yU|1aN%=8N<A#vB(2
zEH`G_&+G6*lo>Xcnk4tZZrm+CV0S{%o*>TQDwloHs*8U^iLX|4D|gjyP}u%-0_Doq
zrT>#k`p~A-Cza&>6Mx;2fDW+{*YZJ~JY$)h_0Z5zSFkXfZk&sUePW7B(_z9(KO;2_
zdM9vrf4zOg^kt21IQY4D-sYB!o$(Y&xP}>j^d;->UrUo`n9xXmdL6~C%^<Jmd-m@S
zMM!<s4Fn3<JdewSZIVz&LR<y^`W;H8#Y+67gFft6;gm01Dw{W@kS*xbDRoLYT#K%r
z0p_X!Tj!v5Mnp%aiTUpGrZ2*k%s|AFc$$fs83}i{WTHzm?VonczTBg~u9q7n?kY(b
zI5z3#^TMdkluknww$51Gv;Lyf<=j5$R6nRlon>#B9mWV8YRp$>^8PJy8bUd!%n$0v
zH{;JhG0aSuU-gPh*e|1SKvQyX{PGU<@M?L@Af8y?v3KYp+JlE$4cA2LcvKodbW!Q8
z%WO(Ce|aSY*%?Ii_4KmG#*A|eDs>Q~2v4_ES>CRK?Tf#_L}F|$pUceJC?7t^?d6kI
z0OFXf@Fk*S_P)8fdFYn6h@f_ZPKBmT$)J78cc`V2Z{L!19O~jvC-JfVxO(EQPKB<5
zhe*Qv#L$e44DQ8hrn<3PcJiFjY)cr}ho=h9;K}2xRZFWawJZX$((KxOaV52<hZGM;
zeTyoWzIT*D;$LNX{ex8u$Nls0>{+?5x}ortE|s?~@Td${4vw6rMc7Pe0|q^8C3yh%
z{9Ntpp7}0NG;lv|wpoIk<^`S;9|Q?3BMJW=SKiz3CCFZ|w-Jen!`W`I>(53c>h0Sk
zdZ`!b@Eowq5F-Kivk>%-B5<O+-FCN@(ICkMt%JOg4Dly{tkx-~^1;zWi=BhRlKo)h
z=`Ej01%}u6bPugxhJ=J%TJB&?wfa8s-nCS3H1Y09{Kq8~__gD!&-{gG=BH0&)$Qt?
zbL8Zwnoc@^9(ag*V-<7eI6ikS%Puux;D9~mGby?THhF%(C^J0!h_m==^)PxoQ*1*=
zB%TU7?by1uNTnQ@oj5TIO))MM>Jcmb$g77C>StwTecLdu3JGTR`83ENz&+^#8d3<h
zm(Z~xn3YxCo??m0DJdx$5x*b8PMy&JWIs8l_?7!F?!pP1`csJ|#t4vXWF#jgNgh%x
z)cyq&<lh47Hz6U^;ehTa;-&}Palp6Nm_l}24|cS13zF-LC6XYs;P`*)jy2lZhRHc2
zk8XV%KWdoME7SoDaI0~3?*Ja)f?O(?E42+7J@c=!Ztz@!#Wmri=`R+VHlA9%^>uZF
zdTDEK-d8LXSE-Cb1zq)%tqV^AhvV*BFg=WRUJ<tn&9lq@!VLS_Sc(6=CdY{ImgS$+
zd>rzc=aBye#vl8#13X>l?b!dv-g`z>m2KUksHIjZXlaQ7R7%|#K)^tdY?(JmkepEw
z$sjpNI0m#-KsQOUlG6qW8zieJ2na}45D)>$l0owA6RrEs`QD%Re%#h>``Twatxko#
z_FikQIY;QDk3JSx9sK!`2ygc(3SmJhU${UN{^C(!^PgnkO%rJx8aiS4q-TFxq2Jwp
zb&wl{rph@QSmP~Ex>V^J(I5o${%iHlxWg$?QK$IwhHn(0z-fGQV)nWO$`3stFZxoz
zZ+7fMRbf-Y>K{LQO{9IViL$S+FWHZ@C{XJK4R_S?vof#R(<&~wX^j!8RHQ$Y-apk>
zFAYq~OylLx8<sWsB~KZwJ{6ixDQCc~p>HkQ0Xd)^7Djd`NY<zwOXHQIJfw=(Zu3z;
z;DD&8rpG1zTx^V`Kd~IkTe+}mPeJqIHx5P44{mk6NFk0odcJ*;lGcA3{rTA^Y{j2{
znpmdb-T&SG*6K|T6I0xk>-o}L(+z2p6|YaN6x&Hvc-!xH;ld?#-M;sypEe8{OBCp(
zKe+fJ%^dAyo2*1Qsb`GhH?2``Q0+-FJ#e@*ZF1RXn<+=5zr9w?`7^?Mc>KECQtpGi
zpm=C&MpDX9OiUtU-%EUoiAmPrmpmrf9d4RjdL0_&L6QqYZhp+=PP7w|CFf2iCyzYu
zhz_i&-h=E#ym!&xykjw#)3)a_5|V39&iYf`GvmWA)dDuK77o<Q-7Kix)u4~J^qSMd
z@aN0=Z}^7(+iki3KMzE<Cx7^*t#B=eQ=ZbwyA<|sx_3#S;a)w&S3-|y!oJpJu9vxU
za>T0h*!Fe8yUijmy{-_<(c<04bDdYoCHe3A?4D~Pnt5`G$F_St9yn>>=K`ouZ-MP9
z!{JkbVmoYbeFwiv_r0PGl8u)`)^+EUcO|5H@~X~V|CBJO)qQLw)1Q-Hx_6Wqz59_%
zHt64qj*TtJ`9=DTu^We+R88vUp?Ws+EY0{0la~UUdEA)$Qcpl)XX75zjz`DVIMmkE
zbUtXe_C`=snyt3syuy>HH@S>k&4VgZ4|FBLeYo7@CVk9L2X4VC`->}7ss8YL{P@F{
z`C`Rmk0Hl6RYC>$dSqh)$G!usC3;FS<Ml|CHg|g{i|v%lFNrrQF6Z3B<nFL>!rs%h
zP<N;IzNU(ZbumVLP#HW--z6X*Ft-a7DhhAP=Zbgld;x&{<>&98>9DvfCF{*>hSZ<G
z-*tEwwBYc!ee~$4)%0#Nz3ndh_w(@hX?)KvIrLz7b&6W({mRkN=hJp|NaNUVHhSaR
zI4P8KG&m@w3m2-t2&nPk&-Imt#JR~&XeGtP$-^B!;Jzo}T@u;Zd4)==>h`JXHW^|2
z()(%HDc{nOS4mkxVfUTb8Ox1w-Di+YeiwT1Ci{{fB8f)lkmA`l@J`P6W(?{;HZ}h8
z`fn0{K$2_I;MWa*VFygFc2D@1IW9~5otvgMU{S=cUsw2;=hlf`EB6eX+_ULkuo=IM
z;?rN7w@ON0o||%f|El{$efaH?fo#654}#r=RA!&`ncOl8I_$=ht|4ZwTOWQUe9h3w
zBzfDr9%?&cN5);bwlWuYSt=+;nGtWEP|Wsd!DGZGBy3#@mC614rirAN-DACv&hET`
zQojHMJLxF7B<qa-6I?58m~fv06Mx<M>Sw6Iuz+J{5Mt?ZwJMAbLiL$k(VzC}nAvIZ
z&!On6mXem9_!?|sj4D4Z3bh(z621ZA<jML(V=lb<4;LT;goV?&n*UrqsCHy~R7pqm
zde`9<F31_0(ha=vs|CX{Tsls@oL!xr`$1;|ann!I%RJ$ipO^8J0uO>p-)YeJRH@Xz
zp*R$ehB7J*iyZ^Hoc@(7Jqxo#suwOis*nD8&2cTGRQ8-)EnbxF&x6QP-<t0{0RZ*@
zT4&*F$v45?3xK;pplVC|EcKrkK09%LWuCI_z=sQ<zAA#W3&6d|dl6C_^-un~i7p`S
zipPg<2B-a8x#K%D#6Gj!K7rm4AJ>`M@B~C7_2$n7p(F=T0Xw%3lsWW%(Z@lq$+G$T
z=dWB`%d>fSr?AzjDv8-7P+H=^Ak+nIhDKo+)t*@#lU$5MD~Jgq11@gvS`dWxQ;*0f
z0>G_CFMF+m{y%`NnHt-0P)s}tr%~+yrNR%={3(#9k*4t$&RL;_)tQTzw*f3ezrer)
zR4FN`8r0oVz=FHeJl!(nYM>wZ&mBqga<hq}u^Q~<6e4R66`(beVUHijwatAM%7OfS
zJ^GYInx8`pqNo<yju{c>|5-9d-0D2^M%AGhnILWlMJf|S**W-Nmt8J<oos#A`Pv7@
zo=cy8oh!e8Q~$=G*M}ac1u!vXZp6OhbDNfSm?0S-G`FI`ZWN5C>&|`IQq8q?q|!~R
zxLcEFaQDM7-rm<+)}2ug)Sth#eO>&NFaZYdy0zY0Gq_*;vihvYrTsjgeJILGN^koo
zG#Ua*+U3I^G>{LCaBW%>|L#>4j|z6}ecRudE^=R3?|?Sr2sHWVLV+k0W-X|`0rk2F
zCDt#Y7gToZWis>x0su0;a((dnO5jo5)Mu-ij^}ZYItt9E%cSz|;cDWf^sZmAsw9V*
z=^4G_s=RZVRKM=<ruPB@+U95Px2)aC^yN(5idH0NH^LQ{9{t*y?>R|I_T~<J4f_0V
z=cGO2%`Ph>m1FkC-!rOuw{m~3=KCWNt}9b0eo)GZ^`Z4GOwtdR|9ss{3w!!hhe2&r
zg_xw2tZW11#<Ye;!F*ZESBR{~FyLoNg2|G*Z`lxfh>L0wUOVTPw>kCG+j~(vIF-Bo
z=kMIr#3G=KFgQFe+#RAgG-?p;V&^bJI{WPYNs)igir6{qitMYs7gFd>0dmsPYvs^f
zA6w1)GcIQOqJpQyUR{i}JUd^(?y<pA`{xfFZ^6ZxAWn<9pq1PyVEr%4+k4-=d-q@N
z5>%q1T9jiaco(|@bUkAEa(W{E^CK1*E#TmUErpM~-Q#^L7ENi}2CaVn%%A2kNjsp?
zjdnXuDxqGH`4P8IJiS{k0Szt<H1ShP2krXLO3qx!DF1nE-Ji2gxC?>cm6A6q^?ec4
zyE^w}D>6Vnp6}pTd=Ca_5~@H(pwqL7+L=0JZ_&Me0T}B)j~x<ozE%mz8X8zX-yP%T
z;>v*LIArb<k)`2`DS+MV`n`ywFS|Re7O%@B>5nzHZC<Y2((}o>%FifBCYgS~WltK)
zIcht-&$eA3lL;+{x~CTY0W%ZocMgHPDz?)b-^A8pZ)Ucfr&RxRBos<&6y?ODbHC+C
z)6fdOcYeS?GSPM#`he$!K3%)X`or|O*Vds8g@L9r9<Arkit~tVhLMH}nJS}XYT#oe
zKnz1@&d{QeZ$Pk1r+wPvQcrwrSk37z+EHjw>OnQ%%tl*gko^(P(*ECnt;^Md(|xXW
zveDvv@NwyTGpu=j-}1&}T^6Rh>x(<Z)xnL1s!qJ_;!LB8-;V{BJ^AvYJQ_4q&`Ckk
ze3jrWYi{$y?~q)F02Cm0*+6SGFed)^pHD!o>Oqr4J;)2z!rKKReUM%yAotCI#sj+x
ztA+LKDt8}stCbefSj>LNFg>j5u7yFz{YA;|kAli&B78=BDr$@5Ped;^@dZoERJbpm
zqC*K4m_$+src>vLgOa@b6C`oNVgcpR#8pEOflb85@O36j(fd8#ViCdSIaC;H1sxro
zoBhV-ZH76p-EVS!d9jgaR9POpNs_Z_Ta|KxIQkF`Ie$I>fixXF3T0|)jk2n?vR*6b
z#Jp5|K%U{wIE=>D1JoP{6S6UMtY-ve6!DUGddD{CgR{wva08~e@$nYsRTE&i_TA%7
zmPZ3H0GJ4n+BG3}TaAY^F|)?M1ow~z!a_8n89+}mB=P{$(?q))pR7d_0Mwa<P!NcR
zF0m6_+60>U8**gpQ?H>JK$?{Q&{(U4&<r;e5AhTgO;^~BQ3o-Mm$*qmN3(4Ee8-5x
zIH-84ngzQ$x&))zijB((nAmQb%rC9$ajgSfTs2rn{wr^P2LjgkI6Nqbi`s;42_Fkz
z^b90J_?mci^ykRmY&0=%oA8`wV_wDj>o1$u+%^`I03A=;ZGM74Y@l=>OleF+Cs+?^
zrK)yzcAhV)`DM^mL?tS-N$TktXs(>TE<yGS@sZF!Q|&0e`c(cLAp?S%mk2q12%l=B
zTGW(do9H^*+(vva{IKHdChn3~+Bo;5K#G^4gF^+JsUGf$A7pg#=}sSk$&%7$o#~-Y
z7x}gVlk<fv)gdm+_*X6ak#OJTM#SJp@!WcN_m?^AO5w9KCBSPStJFE3Hqb`4%}Jes
zswG>VY{ravQsMldg+`WnC;|lrx>cs<T?1ndpd5_Qrx(FZ@?qaMkR^+OK2d4Mh#_<s
zp?3td2r&&8_9c{L74<?s<G&h#T~bzAse(>!KsEY7F*yIwbrQoDl6XvCU!Tz+V)^Bi
zwsnO-Q<g>e`C4DVWC$Gis5A8`uF*uTn`VPU$-QaK0U;q(8q~lgU<Zc_Ip#jE_G~)K
zGMM!=B9+hG<IkU{fMpjnFliKoU8h3A0|Vo66I2@RA`)E><ov<*C6O+&LG+~kH4k-n
zRoZy_9S*_gnT8WBYJNq`paH3ZDB|Bd=znRe)VXu=u!$2OcgEq=w0BA4{y})B)_^>0
z0~IkYadB;rOK%755<!wB;yeXop+mPC4<N#UfD=$IcC)4oDvW^=4jOZjJT`0bgKd#y
zZbJV=AJE`<MguYo9t@ZPi}@jb5#bCyt2F_gC{i>CiEEinmp#nR7K%18Ewuf+0ekmV
zn!C_e=00Lv@DoIDU}E5-B1XH!O>r#QisRO3PST<I`uQpMANgbN`S;{rA>t-Y15Grs
zJIq;@*j5M-Cg7J{pqp$vIfl4NRiR^fD_I0`BT*tH74$x6L*-I>af($6UFX>{DuKJ=
z9lDMMx9x}2-IpVhbM5OnsoW|_ag0#3Hk@KMAw9v=8W3}pbaYyu1hMT2nm=Qr%fxbt
z`a)ApEe_IE`}z3fhz1B$KNE>Uj4s+G@)wtGoGGXyd~q(85)WA0me(Gyy`S6xmLvnz
zS8;SUViWmL2w@oEU?c9vM7t3GM62rw|8_QVsJN`EDxi6=;nr_|@FNP&N9({0B<Pj<
zkG=3)X08A0$KU-_e``Z8ZN0gj%7m`|`#fB%(Hy_M_{$X#xJ57ng_AlvHDqy3n}xN)
zHIjjSb?tQSOJK(YJVQ*Y_B|DSa*1w>3)mTV?d*TtcK!G35>#6Ap!xezIMf{U_S&Ke
z*0?5$3bXOh6_YOd$=mXF9pA&cWy{&TwDh!j6hiklHq{ld6VM%=ECBk631Fu8q`1u|
zQVsxvwr{Zwzy?SnDs%yoXjP*0J~&!wc#XraJ=Q2_qV+iMR^|o~K7h>)j<ADuu$(;G
zvIKuFIFcWGj0tMLmW9?1a+GnrI0nss-0*HG$j4W8EB^VrVa*ISXf=8y>!62+H-8R>
z1$rHdo?TqcDcoB#5{8=USU21C)lt#-)d+oiptkGK3Zz3O80>TzzaS2Z91gt_#$LU$
zJ-7Iq6MKXea~l-wWF%**z1i|wOOd1c1_o}k)X~2dM5EPoPHIN98KMhzSA@i=BJ`BA
zg`ru$@i+S)7Wsa{_M=4oO2$00uc9bV$Ktg<+N1WzPlivP&9x{x^r{y1(G86)Fwyyg
z`}Xeb3$d=OhOZbe-4|{Ms>_;HH=QtK<yCnIUKuS4zDVf#H@q}y8UR@Os+2#dW*xuG
z&MypK+p5wjQ#~N0F}vLGE~0(JYwf*dxzrzlX@>7wzC3wa213xiStI!FTd~|FQsN&0
z&~s9AKHpdy^hr){Mv(a=v_)vUy_+=@6e7?co?Sh!ZTC^1mS7+P4)PQy6;8Y!{*Jw_
z638!QX%X?Uk3Aw>*b*)q?g$VW8cOe%`+O>>%X}XxOEeD_H9e^}OP9`=T>1WY1hf#R
z*dAsl5?XD(bLsUxkzKKh`JvKmeG=wm%yjX&#iNAOgP5~E*#kL^1p|SbHpH4}QDEqE
z1AVwG>NhB~_p_OKo8;nj6(<#?u1M^SJ-x4wrJ$R%0hgNW@c#lc*Z`{c1jb<9nMLl7
zc8qG$3pu~9&QJDMOyO+H5GC~au21Y1c^e9Xj%{T&p8D1jB;n%3*tH!(QxoXvmJ+dK
zoiItsS24SO8SVn%SU-BR>fz~3TF#O#AM@w!9@m-yk{~gxL8yO_Ix|1yrVAs-9fz*}
zuD$Eat9@PjH`3v{P9X}1@FTBSOUPfvKf<7(FE!G9eiZoFgJ0$lF7!hJIiELo;0Rcr
zvH*Z!iVrc9bQ75)+@mtI9w)H04NX<(<DpOkw5+H%P2j~zZyss6MT;XhH@7q{>$M>o
z)lyVyH4-+~)HW2@`V1sz1JQG_@f%2u$XTU9u~Wq(PbBKjCp3wWHd3>!mKemxy*d5K
zicpwDl?U(`Jh&~&h>g#`*h0uB2i#Po-iPNg_f5sg$;n|BWK!SIP&(q129bf=6mhf;
zXyiGh!U*guI^_HC;gj%%@mN|EIP>!G^sbDq#s0ztX&OJK0XT~7%+}(?U-R*zCl>z-
zs<v=ha({Q7UWlS4Zg?Ct%*Yn8rG0W7O}BkfWF`(eLfYA1suEu@_$gZvZcrHkE@>yX
z%k2V11$RS|Qw?;V2%3J7@0S}zj7y4(@vwCD#qa2H*0Zw60RSC*%b(H-b^ID=B@!xv
zRAd6Z;fdgGp;6cS!w}5FIK&ou(aThAUpT8R94f1S^(q%EJ~1BX+%Wlc92i~?$stex
zvca&LINS{RE+~VNYN-(dIFXJAM-%9JTRli)G6>~;u;C2Sxe!|$kDg>O*ZPDCr^%f@
zLHgd1<82Nh6c?oEGre+d3Fv%&+cDCEu=71u@Cnl4!s1b=vuPB%<|k)=WkY+16ax8w
z9Y2op?JhUk-YLy+!vR<$t!ndUIIXC71SaQCYIyDtRe}DWQQaRqeypZ7K$4RrV*xjr
zj+3PtY_Qb>@{jSz?)z};EEHzp{bDG}xrfzHo{AiT7?JqgaFG*KkxkyQOS<L(#?b8;
zLF1S<bdPdSpkZ&(B^wk{5Ga5^%B=_e+qH<R8hREe2LKwO^VM{C6r%z!<qO@yJQ3yB
zCD1t@8@55UGjfJbuSf{W<#V4oHNU1cB4Rg`K8^!4d4^WR2uy@fB=a61@t=&;Bt9-K
zuF~y??XM7kCOCpR6}$nHalep>-)^7C0j5%q{Wx5a!StsJa&-%cVKbJ|T_nQM=k($8
zMC5$bkEB3WQZ`l*qIE;I2!8sYhEna=9lC{)DTJ3nO36rf(zkoX>58sq@_d#4`_fO|
zm6n_?l_Qf@&S*QRgd@8lf{Az~aM#`%xlHesE)?Fd#~!UV-?((alj;!J*aGyn#bp|8
z^?-0pM_lG_Oceyr1LEXu=kw!9?piBb*sXffzBS^9arjSW23Oxn{!>VLl94TP{r>AY
z8q%|djV(W6hvQo52MNaIgvS_fZd*`+m!uy~sX-4H9cxLg0k4q~ka+rt!H?f!dL}Mi
zqXd&i$cY4QvR6l}zql~8=ud&cutiCe5kdL+*}J0t4_-RMr`;)PDd){S4?*6r?Ot!S
ziBWFvg|Sw<@U!U4^g0@zXA!0$1DYb#8mO}*kk!pWhi#XQ$R6G{G;|H~|BT^5@zSch
zV@T#sysAZ)bJ9dvixleD?Y&4R4mNcy{rt72GAWtH@Kr3{w%b@}z0|t|9Fm3`L7k8_
ztg^K9H#s00+3s9I%A(gkAO8s-e9q{yI#wsL>oBS29NaXqi;Ywehiy)r=z#Jvrh@qX
z!%A@f&N{*EfPyP2Pf|gLVAg%A*(}fES|}+N>gUJ$6T~>?a+~YQ<Fk6&r*GcczKynF
zdO@7Yy$P^JKEfm7p{V;jw2-Qv3@um9|1t$5?e!C)2`N~9+RF9lo(5(9bEogz;Z#jj
z3s}aK`3LR^5{5;!$UDvR%NN_%yZtH$2K2-~00z?!+y<r41BXXmGkrrRn*x<u`nT6^
z=IUpNA0Zf{NF!h;c@6*NBGi+4bn?__HfWW%MT0957+U_X;|_u7hcp59UGH&4EziL+
z(xPnD&vzV~9_Rg%n@S);j)mdXEdZTFz^*mN#75&Wxt%6c#KytpC+%PP^NKJ2oFKmv
zv!bfw7)|WxJnYrI=jUOHNss0d`Qiv$CwABR^{f|yp}wWmHrqNC^r-}Wh#6N(H@d)-
zv~vfO4Pt^$Rx6Qg>HR;x+`Smv*)Iy=wISLDXMp#_;n*7?bwM~p?5PcAA|OXAE&IlP
z5UCU*$K3OZgC9~)5=r;-wak*4PzW`HHYK#p{n2Cia(L6v+h(h%anB;<d$_fFxLN<6
z<WeFyrR~_|cfl+@BSQ&!HUJ<(H{o|0H$+*Y2c5sw1bP5ccmn&h4)J7U)6c@M`}Zvq
z!ATzji#E)+q(VRd#Skb@o)c=Z@d4Tex-tUQ6!PpaG>C5i^?EtA{j-GZ%Tkd2Jw(F3
zm&zvYWaBvv)Uch~1H|z8&2%s^$RGFl(=K;CpfAuM8fK=wfWvhrHRyu~Mpuyra%vxX
z(_icJKL5NtALDu;Y~Vd!#If*<v-~H}c+nb%MHkTh%H{vso5E4<ZV$1~nR4BQ2mo;!
zD07#UmR>+#6u`SZMTgj0TH%B!RAdr<s4qP~e`nne3YAQ<YaD;|(=LVh12vq4)FL8R
zMx~I9BIx0@=s+#<);BOH?-)6i>w9JvC*V~r6fp?4jm)MV;;`b-0`p8B0X>Jd@W+=k
zG+$o|6)84eDPz@3Qssvh;&w|N;zRJppI=~{4lbVvKS}BV@NK7O*H7n*G(?DNlpJD4
zy{yqe?BV0Mj>B;!Yj^{s|K5;U-EEgRX|UcI%6h({uLO4<Wo8U~yc7z*CA`~IPufx>
zbVC(u;_VaEBjtoH11b&YYfx!i=+d&XD(E7--*}Oc&@of;<(SNG0`rYZv21sWHu$)x
zO;|hzJ7zFnR{HPL;VJ;=@0GTta)RA)pv6aiFtziZgX5ISY&Jgh`z0f1z%`a`A<LP*
zDAu(JAcRT%s~ky^34vE(L2U{0jxBxI`H$d`5Q10i2MmChaD@3JD2%}D>)`7m3Fv|t
zooqDrdh;&7ceeSx@iV&``71P55H;C;B6)R;Ph32|bvXNSbL^UFy7Ns(tNo4N`$O3)
z>yMs2V`a=JIiJ=1YNw`7RH4D!u6x1mjqTS?eL7RPQb^<hYi#W{OZI%rO~W}Y=E8d4
zyFxB)Jv?po>{YMt$1nLBk(t)j<AW-35wB|sxI50CROnPK=($F*@ozUbyR?4d{u|3a
zugJzXYN7qg!l9KKZISAw_t=?A?v;1ln{KN%HqXi}77Sb0efeM|OJd#R0-dY&L4f_T
z*!8viem*{tNC10L^+*&P>Xuy0Mr<hAi`lMqEJB}tcNGIo1Bfnm#SF#@S9f-IfQ+1v
zRw{xKW8mb;9TL~o05~Z^IFfM8Na+Z5!HT8=?6obrNkGl|0CEOY9_x6Z5x@?q8I=?r
zI-)t%+z-j<KAr&)-xdm|s7LW56>NIor%2x!!gkqC{W#jD#(}FEp_iS6ujsW(z--z?
z>d9UFs^;eAo+YS25Lk`aQ$%%&z<|)?oq}XY=y^-oiyW)%t>+TFR86~rzo!X%zn!}p
zu0NO+HNLH?+*T!pn0(8`FE5U)loooE^B`{6CQqjF-OE&79Macs{{s!i1LLH!z0AL~
z)u}H&)~5RO79$L;Bh3%&EkihF0szRc1c^-@B%?vJMr<i{AMe+``ukN`6Y+DJ_4|JR
z^^{if(|)0t3N_*SzL)X4knUiM0e{LsS~d;>O%Jk_I)O&5KgwywJ)g4ELC->>u@^Qp
z^1?EUuB;OP4pM9bQNX3{d-XY|U_R`K{yjubTP?%NyJ{dy)1Sn->1-Q6hq#kcacQ&W
z<w3uzJO?(dIlbWQl+UC4;57WrYcuBQ`NMI=Y}ndek1`KeR-UdO`}Bty>Ohdqs`;Dm
zE!Uk_MpW4p)e$Rk|F)sV)L-3B%KiDoA=@0CWC^?L(n{iOzBFP4R{uo)8O?S>qw;We
zmBTVe_s+iW7}*cGhMK>pOeDfn-k98tU2lPE;eB#6{d|4jUJFolPC|5jrv8-fQY|=X
zPVA5MFqk?+mQ5eH7k}6MPxM>RxaHpvZQBZgM*hAVNr>%W4KeaUyRSJb1#oa8ff~_b
zOxzF*Fbq}_CIlAOrwA~;mVLK+vJaAA4l@XQM7oyiP(}Ka(n%SBXajg^q#yyIMFBgj
z6Djy6)OLLjm5h%FHFN0}ZHu=J1Ad{d-m>BZ+tY{9MSC+SwfxZ+CsJ3k)IJCv^hwbD
zsC^(T^YErMr4KSZEp0*?GCfDeCwbubj%}f<OsMW8jJ52`jx3g&Y8o@wYdUSW<qnM5
z=F<_Cpf=7SC%Mb3K3m6@qc~wz<!R^NR^419l3<}H7J6Tyv-_x*Vn`Vgf+cned9>#O
z;~DlIW?tFU$_N>uV-GNu$#4z;1pvwSQS|^R>Xq(RseQcfjhi#+WK;lFNibn=9cIia
zr}DnEiY*e17`YrKptQq&3ILD^Gk3gpmmC*Y3Y$qB%1gsrWubJpb0>mN7MkpJ(O;MR
zT!bEwVOmsTa!vxZ-y2>1G#jWo3K-`TSdGSS`2LA;yZOn-F$cU$6uTYXBhm6hof;K1
zlXq(Yl0bXa_6@6Q9O4d=_M&^AjtKyU@J)=&Y(xVDxQ0$CPB96cV=zRb(J9@YI)h$$
z$Ojz5WioiNM7;#cgfB(-y!!uliDw*DFJmawfo>KFaT)=u&bMq+woT71BSDxrCfW-#
z?Xc+ZBa5x~=YZA0B7vZ2On<s-UQk7G^0Z=orl<1MAY}abF*F-E@d0e!0ByU#1$fr1
z)=YNm?Mj0d1b;YY8G+l|i?Rdo6d|tWrpNOlK$wvugHLvPZgd1OCaU=IAVZRn_HOf~
zH>uSMmv;`U%x5>pe;*tIHdG{sxNHmDB;fHAv~gl)i|5dnI_y);8K713PHM@KyHnu5
zjmp0b---E$3*gVghN0xp)d;RT185gEVFGwZFMg6mhfiSQwaiP5U9XAap6+MY6WGd(
zJf!ZeJh*_X*6&OL?@<SX3hRhs)r1oR<J<|92DChR!voZipxi*}9)ME)QHdhpJ46I}
z@s^Z<#l9*OOGW|029nc>;DQDnHSmI$;KYZJW%Xqh&eI9HArrj2t?H@O!B4;y34_!L
zh$^Ws)zm1^G2am=(tBiZ>UwS=d4qn7vaKkv<Q9)N|6cKNi;QyHu_BAS5syl-vGYWp
zAExsWpn2Sm4F)nA1H|6YY+7b1|FI2_5#mBsab)lW$AlS6cVnscofo<KZmYIaZ?qF`
zQUI5;HQU2V5VCQQxN|1pXAM2k2p7|gjK{0<2yE;y6LFu{cw_+(`#4hK9w37Wc1QW~
zOpthLL7GX6LhVcrP-jx=0($c>R$@PikTx_I{zso%>Eh7gGwXMX#i1=N9(+;E{PJXL
z{?WNmXAVa|+f>k#5dUu_k4hAa_fSdT1?0FdFNi;AVKS?bpeA@54XCMgPR#=MzAh0?
z*csq<<QB`bdW%m!hHw`rHs17DcOrO~F-B!WQ;E->$s?wg^R&EyK|RrdM-8|@d?bM^
zA76k`5MpqsLyX}INu5>X4lM-xm%tJTQsnRjC<;JNI)F0Yr&?Hp`F~tg5oG+VYi|2O
zF{<}<N+js!-`l`7xp`(V(qpn&zWT$KYP)`VmNBNl%z(XeB`5~gX98|pnnrSr9l};o
z#Ue7o>$p5&%V9;+anA4|MA0Y<G$ffBmbnTrpCqpukTgGPF+f~Ax=BHaASNE`Ig+8f
zA#gdoT0&4mqpsw$+1o5dKcR9Wm0}L<jNuODSWT(@n`+YZ%Q0yzO(USUK9PXgY?eA*
z$7Bdr+id_c3kHSOz_e#zIwp@sMqJYz2);6bN1}Uw_68<QBM_%hfu>d%$6`y<qJU)_
z61#HJ1<)c==7Ta&rUx;<8jJ>*kA2#<^~&Vz@fLi)4D%q6n0$`QO-ceP78BoEMCTlE
z+?}Sr(f5TpL^O?}hS;8@2jhvcL%I%OAbtVgGS(VVS5b+<tcpZ98bWpfF!ySV*emQ@
zq$Mp7+Hk^V=Z9p)UB=hWPD4oZwZA`v(H<nw0jqiZzV6%!l!QsZUR18i+xRKCMj*2-
z=ah-=sb)FX(LcmdQfOZ!D0NJ*c@40+i8AgKLu@Pp{}hb{TWwbYDIyjS&(rD-t;QJP
zS%E!!P7)Xil421ke#{bR9k3hp)gmCxo{yc*XxLVvw`Vg!X;4!Nku?Zi1UDN;FBY@P
zZmno1C3wJ})x5DfKRLPP*<G6n4+-3Wb$3qgSd?_O-?>*+y?gDPX1=}PtKGS)9tqra
zKlPAZf18T!R+ii~Z;O6qzWd;AnaI5xzdssW*O&k5!LRFXT>I<zHG_aZm!0}}VLOHE
zPf>Nz{QCJlwPqsml{N9QT}o~eRX*MEAtK%4g;{+e34KT<!zLQ5besqMP;(K|oo#BY
zX=)PbbTLKZl?`|&9jW|PI-@}fk`IE-rs>-u4U~=H#kCC$DsOhe=Dv6fG%tgq-u~yr
zpoN<=Z6ydG$6zFnqM$lZF#C;4E5yK{?18lMQH*U8V>ipVklAFM2y#!M`qQS(3?TlT
zr5n2|v_F84Q%)(pBQgGT+0$0qC%oC-!NCfo3}SyeXnp|GDx8vysCl(nH|PxXtqnUZ
zUvHq&KukIcNf^zTApf%hQ=0UWh$dOl!Hj$5vjtDcl)+U8Im#@bJwpbP4p*D@#k(I^
zG!4TR4r8$GTj1%fl0n}Ah*qFJv8u&_?p10WKl5vASN;3<58Y<7+{&SCRPd_pHFG@x
z<Y0K;@x}4Wj?mKFS#Bc$W2trY><(KcFOj~ur@qAJAB=39|7K6!JjYY8yFtT*PT5vd
zmEJZMHq{wWIHwN@p+K-a#MX-qA9o#(<me**5*X^=rZ}hB0F2X{&2#DUo-P0@3%3IT
z7sgUrLs_dkF4C(ET&2e>f*+n-ZmrpJXzI3pd4z@U@PXKn8n+F(rzcoCouPrZ$}HA`
z?fz*-X69GzAt%+Hj-8M4@V@4kIWv^33+tT@CeUlfBdBTE-214A{zNZM%X{6tZI;s;
zbF#_&P`!gz6_#`k8F?kf{{~Zpd!u~(ody#%cKFmQ0NqO~=hf`HQij>*>VQbotIx3O
z10p_ejZhn$A||FYaRqC0QVd()XU(IW?(wM@>zY<8E2<wGYFGB#zL1Bg&IkbYy#_=$
zb32CMIij5;;mBt*Pl1NF;1mRdY$8A~mC>>AMX}Nwx*Bd@kA|0G2-#!YPp;cMN;AUL
zG(w0NlYoxf8_L?{nb9)U*-@s3u&*~;vrtm(2IX*@zoSWFcAK&I=K2OGDO*loj5NJt
zwf$gHbhQ4tW|kN>ZxcmDMTy~mt?$GumQA}D_BlGf{;)ca@_Gl!k-z1Xa;bP6cm0Nj
z27fOvFB@B1y1b}MGv9$ZbsdxB?5hP+`9u0hf2-gGgJ2zYv70`7dBmbH>e;oMEP`)Q
zHx7g#9zW`+O2E<m0Wuy03R3}~d}3~4s;~;}0iSfwj!wB-sE>OtCsxB669IY0?C!(&
z+7Tdnq@cjv0?kh+&E50|vNXI;(^<NXsi_IX8k|cQdk*<kaqxpI7Z=wHcRnP88l~rU
zN2`=vVboofB^*ZgOEp3P#6{<v7$l>VsH+yIC*||Icr1Dg^M~cWZdq5pD);d$YVkRB
zlg&*{Y0y0W3N?>%h-!vN^JY`T#l?kT9A_IHr*hjuDcQX-!T#CbK=6>DTH&1^924|o
z7L>bYU|_IlvlUgKZ)*nio-ZB21`n(4%(1L4T9_0R3fO;N>5blf3%%hB2f%==YAl#!
zaGI+o>ZNIb<xV=;KN`h`(kLibep<sAi<O)|Kuv?HNU|Yyg&5%Z`K(!9FaLwTI%L6c
zQ2e^LxZproBQ8ETwJ`H_dLGrOwn9@}eV#Tqd`I#f0;cTqgX7xI`e4c5aR9pQN{+1B
zW)N~=q<ae6&z5#&w6k=ZfU(lzXu%^t?wLQPyIO{5O8u#EjHlaI7a5)2*=Us=a&nz8
z1#prR9AyxehF4YFR#`>YWg^6`$!Ol%T2-M!FLLug4{+(u4%)$H!$!{DW>?4Mttcq*
zg@Y+&4Waz6h_rVe+Bk*nTfW}yd(jW8cypb|eh@3SJ)6f~4WtMUJS#eaf2OScy2k}+
z%4q9Uf&F`<eFflHd`(D9F4IMO*n-RC<m6RcBn(K*XHNW`^yXVJy3=K<w1dz8{Dhid
zn`F@Q*w}qo3N0Lvq-ByV9Fnfr$pc(@xxW`hKf4!muc3wR2yWd`bT(lox7quW9$3Lj
zKocVinWCbi)<`<K@9yzBN7F){zM^4>{Vx}+b<+C`_VU~|PW4A6UjhxnsM6BX&~sJk
zo6GZK#;)9~s%3c^{~`@#3O;-BlP+4M7WtJJR+wX7)EvgBG&sLb6ztS#E89m9VR3!4
z-(ONJKYMKZKdXoc(uac5XU7_bbrFjYg^E>};u#Y}X{ri5G2a%uW*+hsLBYX_Tz(2%
zeraEWOs>Lomc!Ph!F+ZjsM0l^MS(^T0hbQ3e&-(_+7+#E00!&h)nKzDU{76#L5Y9f
zhR{s}n(&6LGYwgjL+Pohhe5=6ivTFCbZ>B{b@=QjcQc~Ze0|g>9CD-9Rxg&VzJlX;
zz)#A^*tqNryO}Sa>&X54p2l;pwiG<{krg?B;HUKEYK{<$(3zM@$<G%D!|xqPZXy@^
z{yrTF&FgI3ZyJtztP)o=gCW2%`=NwJA+Ht=BG2H(j7y_4Nw5*-(PCm^&~n^~71W;j
zBW?MtcF<Fa&0SW)+S=OOVrOj_WYvSh!oqe<S?>4lC-unfcv>S9lX8$4BA1N~7Icdb
zm15UF3ea(imwcvOC-3FS+N;M<p5JY9XNTQ~Cu6UZ?iTEV*b@_zblS^R>{ssdWWEK8
z6%6VNbMKdPfQ8=ylzWU5@A@JnTRI&!jM&Ob=pjA=3#8i-A>$~@J$M>@9~r??Krl<E
zh6F|2I^*$J00M+tgNgUGaG}3&6vj_r$f+^c>h*@Rofx`N0aQW5vJf|Dv<?G`v`{L@
zMgnmZ2jRgEQ9+ak%CI-Xa1+NsonMh@WN7$SKS0~xZ92fM6a~f#R74AV3VWJK0Hfz6
zyccU%>24+!tx$<7+;;1ChnE76+VBN_IkAyb$S3>&5s4u^aGnGny^yWMJ>9uaGLV?4
z?htEP*U9v7eGn9;@3?)x6JlAsEl|vH^m4yk$g#sH#g!wdMU*tviIXOWKV@B`X=0ow
zTZd|xCsKRZIYo?WqWA>`d8b?x&GwhPyr$7w!bnUsd7<=&%N8%q4>&b}K;4DGyD(dK
z?6dnD-p?w7dV2cYegRXaYWMv8{V!3I6Sb~t_xALt^@;IE^X>Gh;daxcva+PK`c%p7
zH9c}sy_XT7AkxvprmUoI7FpxmKD9+tD`zOvx4@ptvW9I{^T6X)Jy~s2%ihtoicX)u
zv29Xv>ALA9<=D8MCo`|zcMmPlB5Cf1$6rH*+O(vp2EUxDf(z?QZ`_x~497CJgTY^0
zeHuOrC5_LoyYnq`@Tl9Tr}ud*oX1A_D^spN`d38ncKdTVO$nj~t!Zj-|Fe=wQ`#Z=
z`ZFB^fzzLgZY~~7JJ(=tR+VM{K|gvZi@{(l-s=UZq5Wll6h@kt?0jdTt2<p%b?y7W
z=H||M3w4XsuGOuxV>W!<cb_QNcMZ+od0??~YlxWe*hI)=?yQN@1>1bvy2o>~llQ$Z
z&b@qKU{zsVRre&KZ}#(yMfruH$IoBeHmK=&a_Zc6QC8p$*fJOTVY-`te(;k<K>GQd
z##!T<45!8Zp?f*dhCZra<_k)i<lDbi@5uPntc&zS7y}o_e8T6V79(Vm9?J-|@S`Mq
z9tOxW2~jG8H})z?JVT&Lj9QVizlqJUdR4xXEA?l|tTl2J10~&D3AVD(RZ&s#(KwL~
zqcr-x!#frNRf`40SDKlb)$@`9)7Gbx;FBaV8Z?AKlOoPOMv04OEE8uMv605&uV><7
z*v+5s0vXh3*BK85W&|Qb@W&XYCdo1V_AKq-;}3I^AnDH*wOo0*whL|!lsOSDvNJKJ
zz#1<3S4TwT?g@sbrtgTkELtae5GmTVRz#$HW0}PFLe<x*#kP_4YMtPlLv9OmWa8vB
z0`ojAU6B_wrFrE9_>Upyw%Ji~Xb^<DAVY1<17mLcwfFu~(dTg#5Ng;jG%n8QX2UI}
z;YX4-`fMbXnThsDj(I~tEZ=qXB<OrKE9<iI5}*7)E&^QGc1We<TwPOB5S;7!>z`LJ
zcyEi4kP=f9hQfo|B^Np*YwGyF|Jhz#T&x9#4wZ%)Q{C-4e6xFk5uS;-@=qA6S)L~o
zuT*9Mk{c2KIy1EVw)})DoMcYI;-reE8KZ6jN%Yu4Gw3~Ew)m5B@{{iihzz2%c(=@4
zR;dec65gA*a~Sww=zLZHzf+c68*7YDCnA`Hp9N0a#J*(~h-nuGfe!H6&I1CSYBM)7
zivPF&J_MF!tJ^Hn0?ob|(whFpYzc!>OG{Xt2YR&W;^2~<LO3PXlLIV5%}Z?b?ZTp4
zpJMpG|IQFeNZe*(-K1#a<Kvy6`PoZMrh0b~PZ<WdTnxKq`VF7!Bl1N^^lfu;a%dC;
zW^xPd91Bl>)|Bh$(Yh<mg#DzVwNUF0guD+Swe6!O15wk$QN3xNj(h4v)OkK$>ED0e
zBJJ~KBTQqJMsYAX#H#E78E?*=ECgc~f~NS7n38pyGzrL?RrE(Wx73<wzezLNuG+tb
zX^oNE^42Ra&$XhuE<m!pqkxdafQ3w>TJKL$cOGP<BN#V8SYE_%CU2pR#&03t&&9O$
zOws0HUQ@u2A5GIM(%_is4_ZhvdAB<tjcHGj)Nc-CBl{(4@$Spdr`oI1rPT#1DyZ>&
zjW<@uIdgM<4i&P{0Y}u&#+JuH@gvTwYOy&kxp<0uak{W}-cPPE=Yf9B_yo72Mh6dr
zcg2%y9z36U0?M;-L)J(Ozk>g(J5V68IP11JM8?=tX-GaqWn@;dF4Y(h-oHdu6crIk
zgSGC$XnOU&9N4i661q}Km#yCZ5ZE8fS&|_zG1(fZ?ae|AesZR$g+wS=e^qE^4;ceh
z8!B``2)OR-kJbj;c=Shrw&061ju;oNuA3x)cG!t<94cCF=@o+gg*-oavTAlP0EIYt
z<81}F!PPsmn+>pH^I06u1F6P8dM@O%60na^*q+ZK!SO<Kv_kxsnYFq~g9tj4|9!KP
z0AZn-PN$bM1~FtLQERCZdwf0ttR&aD?+eX{_TAd5|5OyPv9p_O3p;e_1mj2BLYyY<
z!@kJ~mzN*udi83L>ppN^e{u-=RO(l>BJfICoCMJ-vu=XWlBe1vuo?;4OALzRE#xO)
zdNUXdPO9v&_FF_oaIKxvrF$NL|GI!9o~I>Ymy(^9`0v*sRMP_Km`cO2Pw`;WG%BiN
z_mGESqXBXtCT8a$&LX7X>7TafFTJ&`rC5%=rFTGjU5MX8_Q!UB1S^)e0zv9#Z~J~`
zagi@~AZ-Alc+rJ5cy)(POdz6$<$Q-jnD)Wt>`uokh+<dGnV6YXkO<G)ZLWiuIrtXt
zOikW^bmS#hk-17+SPVVv*L=jL5(E1vis-}<ln<4-Q2bJCbTp?MA%-idPb8HwUe+*6
zzX+zlmf4_c{|K+&=DjV+@8@85-|YkOrk#u2{nn=d8H30K;q0D>`<ru9a&txDVOA{I
z+Sz@D`zZ&JZk_-S0GM3>fu(=QL|jW!K*B=*3Se=kl?%5*QCXd8^S!?Qp#($aWETIc
zAC|XL9Q!rff`(j%oQb;%L$oso?6M5U)-N{9iHmG(gf!vkaBw&#O?LE|CkQM<084yC
zxg;HXnkA<dWU&_C@-F;u97_he_H@<aTot91g!b1-x#xKc+(xS@*n`uJZu5<-Y;SUR
z3oucNejhIA*B&ZE@a+!=o8hL8)IqSxFcM>|g#k5K3&K`sWM!#3H<F*G(ukEOpnw%z
zZ<G=je)`px+kAdf+t3n2Ea+Tw;k+iTGjFUi@wqnq035Urn9ZG7Qr)K-cQlI1tl(^7
zwRjDHVI>;vIIfTVy9o2&iR|knx^x1Kg~;ZAcAiA{l+x9b-(T)BBV?6h)KN%3FpHeX
zvIsp|c}(xzY}^@^CBqFilqn)4BMXZv(YEQz>(E!LBpgc1c`VdYOo6%9J^~GDd(gL7
zncF&%e7$|G?pp%gTL!=U`dPan6KahALO_27oCGQjD9*(fc}2h|O%`+Tl9%i|31EZG
zGS#6O5Q-{#Cz_7l4Y^L`a!TlEnrG`{UykA>e+BqlMSv81grp-Maqft-wn;Vfj}=r?
z7EsQ8i8pzS1iZABK3;sinn&=o?#9m8prb%=ucGy=BJM(@hnXa5zU3HCWCbc@H--{a
z1eqiYo6c$|WouP-OH5^JfyT7LUlKmn5fpTk3A;PdR#<^6W`_EEdrOJqf;+Z<A&5y1
zhF}_3Ux)bR5+H)5(0eiOhbM2%+}v6a8*A_)@6}q}bKjzTWXn*nIr5}}yfdV0Rj^cH
z1bmDQv66aI5@oTo1!Wfr9G7u-mrrofBqLb*?K(v{?IgEy1@@$b1c@6{dpM@gE%|4a
zTu1VNoP@^dL&0B$9yUJ*SV5zpX{q1+z^2UtFh7*i6xWHwT|*}O1+>sflMR!46f>9!
za1sb-;^gc+MphT(RT&@}2tNWaStZvkn6NIhk=2q9lM!LP0|VzREG$GsL`Kna(23{K
z`1&uW^4bRH*0C_0j)iB_ctb<s*3Y$gyEzs|IA)t&a6ZFGH-zKJn=Q5V_4RGBAm|<@
zTLsBs5W<ux>7>E%#p!Ts^s#hXxXo(fc8)?5Qp@rUE0qTLj0fodnZ=xPMe^`FhZoSQ
zX}xGx^kK<O4gwsNqnR@5Rm$^09<?6RU7XMrMlM9Vl3E>hzX_yj9}02M0nWN7>6cIs
z6~=?4BNzROZ1o*EwlL1o$l@@HTDUJRa@1|1YO$1j6R?#+w_GATNF9ZzT&w_ZH1O-!
zuf9^z8JU?&mJ?4Kj?Lo|XuMrY(`DBLZTT31S6A<_k#A5p2;~<Ln3(DXedn4h5@`yR
z7o#aS8z!s0UHRLPdH<6Q)9E~D|8yXc4`=D+NUs0}_OkMPTnl{rY|6Mp-G#IIKtAeQ
zNhtk-NF@4G0uNn!rO-$ioU`4UW(W{bxU&9m=?-`-oY>^rNVHQp%@<K95-+{CGOt{-
zh-9v<t*s##Cva2eH5uF>NBeYrtYW@=hL<*p1IL`*&~9j=KKQI?9aX`Sx8-&y&>q$R
zKC#%tbv}seK<POFzDqa(fdWPC&G(*v{1B&Hn8em3B_^SS^c?9@e71Xrx0sP+{bjP^
zaPIK!ck3kQhL_dKuUkUXX>+)#9VensCO)+o9{_}V<nxV-YZv?1UYt$#@uk3i=>p@h
z#;G#^GqI9HDSWWA;j8oAn`uhv^wWfqJpHL#BET&3<6fl8y+gHlcpnPj#=4DJgmcHu
zJH&oL%>LUa*5nN;oG^j=aI3I8f09IZk;EQ+uxfg(lbKlr#?<{HNe&S!)Sn+wjLgk-
z`f>=6jfEZj_N@}|xexj)gt46$AFWt->|*?ukA2N01mQ&|Xu~j=QG2P_v$HqbPcKer
z?>B8<>p@Q~W^=?^kvGzXdadI+3{K1&G_&XrZ=NKH|JR_zj}5O1=DPR{66u*`E4OGp
zg#V=gL{YyS&V_(K>G^f_?kye>hf@i%F0b0u)I>YDl{J@tZB=&DhYyeK^E!4+gP<1#
zk{BP@X|)O|e05pgpp~u5ZtbE!wV?FD(~Dwh{T6^NTCd1#xp<Ss3iYC^t$B`)pz4iP
zShyb5G)+BCFfuHH<l=nWV*Wc@)pR;#8hbw+4}KIG+%&wyV}hf&DOqQ0$r>1RTQOGe
zIjzWGPvXBIKz3wVT7_V9Cl2D0`OC`d;wjH}advhl@%I2CYvC_<_l#nhV&dbiZUK!=
zp-?m7SXmPs9gROAfb*e{7@RE8E=C(5XIOPX)B?<a`9Htj!QS>3uxM`xT=#UPeSxA+
zCR!mYDW%Brlq`+!5lA7s@5ZADgqOq&84LYJcHlc~(%4UKi}Q{^VA9@f)?|+NByW*?
z?^4WwwxLQOmnxR|_;NWa4adVWu8Y^6#bt|jE^cxRX~*FqhZ0d02VDd`nzWUXhIbO_
z;2G?rqRTPV76&|ako?`1;dlY?^=_~xn;nu)WKq$NF~l7(^_8s?9e79~LS1)0oq@B?
zDwv>CO5wf^_1LU;nceE;ZvTu8V0SpE&3n}kX-wnD?l`pi+S#*b!*ED3lwAP%ZNKgU
zTFnFq0!vh~q7WIC-f+B*aQG46YY}Q1l5<`~vy(=N7QSPws#+IDMh2W)CD2LHoh8Yj
zkN(32D4aK2T-mIHbciH6)95@ZIL}~tQ)7Hn`QsYT&pSX@T>MMdXs2(%A7Z6XB=wn|
zxcZij)xMt|7-r~lMcYq4r%<zF_j!&PtZyz*FqV=l-&@ouAu!Ryo)Y7HV9R;+4SKoV
zQ&rJZ@FeS+U1?Xo7$?Ruo{ru=#dI;M=^u1c53aR}B|8+R<p9aBccK~QI&$uEAi>!m
zM9}$llGce}t?l8|QD3%#;oE$j@R60|d;ke^ct7Yia$k46jf{n|F5YIqobzojqT_eo
zjq*)1ulGqjB1hXG)K-N+z(^}%o<7}0y1>Ssu6NmwN@yj4=>UO=g3I4>*^IP`y^EEY
zh}TcBaO9y2s`=67`<m=oi(Wop6G&KGh}O2<=>CO!BJWYAP@#Cz?Bm7aHj6Bl4%adk
zy`%Q@6y}bdanbQ|5+T`ZT{dW6X=}X{kkrzo(|?5NqThc-6-m5u(j39)jEWr!d<2Ls
zMb$Y7*w?}=sg0p9bO=i_|M2UK_9M3c&p6(+lTRlccLl*-N$`NSA_Ed@!xCIYi<dAw
zgf*H|*Y~v1n4{^?9>0oOa-fK<G0sI;9#TT|g!NWE!0(Z&lol8f(+yb#ei+zvguuv?
zC^%jRG*|&agF8H*wKdG1aUD(CjQt%aik)YU$}f#n;NkM#U!KxM+L4XJ6VOzN&40-7
z?G#Xv{ZuQM!u9dR#&ypSnta9SEysSys<VSp8^xP3%sv}M5;<iP6H+N7P*l&njEsyh
zh`d%<E9E>l>c9HIW4^=r&6&icUna>pQ~tV?EcR8R)EW$Ei5sZ)%(Dlt4hED94`$So
z7cj0n&iv$Op`wMrC<Ge9aN)fK8me!G_LCD?E7YW)yM1$U*BD+ysz-Iv1V$#A^%yK{
zPQsvndDnI%o`J_KFO%dYA(Q1<-n*Bi<)AJafDK7zlALmpkpPypNNDAKA-{F$zcR_o
zFW14RnA~q9G;Lx*wg1aypL_PUwmc&XQp98!`z<MM$Tucz9wr4nZW}j_A8h&;X@^fQ
z<#osZqQC#OmGo|D*pjbedKRLx|FgCk1Kg}1iU8&D#@0(B!ioMhBJ5Ek*4+&N0FE~N
zdBpwc@52rM^6>D8_KFE>dH--!D#7468k6^W-XG8UB*2$$q9n%vY;v#4K-Jk<#8|%S
znxV0=l=E$gN)vNgdzQX!>)-&4;@_7Dv#|8i{}L~{1VF<`EyFw1x^`Z}tS>(ErH-a^
z`Cu>IXG;h|qYUL9y{eEH-|ogIPcFT0Z4JB7v3W=jpvzwZMS8eYosP&>U$5`0-_?&2
z-OP=yvxuZ(va=nd8|Cl2tP8jhd8U3oWwF?6M{vDH^QwdFEw$>A#t9bBtWyD~uBvDD
zMoDr;Ot!hH_E}dZBYC;|CCX>|A6-`Yud}38fr0j;s$Zz!cIE^}zf8WQw_oL(I_Jec
z`TVI=E#Ag@OZC!oF1lJDXSG<3_oqFY3DU4|NzPh0n9%A~s}S#tt{Fa;(@bmRUTCf+
zL8$X2?T(M1ld~e9o*$AvA5=mvsvAuX<n-zyOL%vBCV&#{<(1Q`XK!!cC1Gb<FT(-Y
z<Vea14)(qtZw~-xe0IEoHdV6Do@Ave-^4hMDd4*RVjU?w!O@(PTdQ`{$>SspeomSL
zM}P17@3_X`s%n+HJ|cnm3j+0x&CQx4THDP5UXUD+b_LDMh`qi^r992e)p2d4y$cpf
z*<007#&6O9gSUQe`XrB6aQl%D*~i>mL+3j8P~oo?ylY8L!l|sdW9=f_GWVIT`lVLA
zCr_4&PfScJIe)+|`}hCYe8>M<0->0g)=0frYOMKx_VLCaa@CuBe~7LA&sQ)p{Wo5V
zdZqs5Dl19;g<QO?3;wE%K<@;ULfER22?ommFrbg9iQoA&i8#{-ZK>D(?kBMe>OIpB
zr;wyEF+DiHN8)p+u=Q1v2)yx!JVH4kd{`saH$XY=Ey)C7N4v}mwRmHZFUR+jtC$X^
zY~UCsz&p?q5`wjkc-db8^B$$JbI4Ok?I8q(#Xwkb0v}xm=*uzcN>Fzo>>P2IyU3Tk
zI4AU_`!i^Hrm_;#ohUW0QwOkCix3(o9@d0>IfR$a&^i%*Y4@G`#A#%>b!0sWY?<Ws
z6-uH%*fpE^9DID{5{hF2$x973pND?Qldf)VZg$IsS@Q5BpJig^$M0wd5mbqq*6zU`
zlb`SMc5n`oA?4s&`5@GHD@Cm$y<SCAA5QEo0aK7lMw<gQt};Mk$~t6%3MM!s{?A>8
zjtoTZXJcnqG&a_-x#Yy1qH|8>{v;nY`{}L;D`CvEP)hZlun7_5=RfEgvUkEhgtw-|
zL&QmQ+rY6MWh;eLm2Xa1s<#H*iy)KoIQpr2dL5Ttw*OYrdrkBE;iP&?B{{|G$|ABb
zlHvEMT~%@TF0Wft%uIbg_9>h_0|W0!W=j!nzx9Vo932ibW^odX4qv1J2M{NpB`^MZ
zue2`Ieabgx6#}!f!qg|FyrG*Ma~BIn{ZbBE&I(~H#$Gid<`RS;_gPYwiB4<W1@U?n
zF25tLj}|yf=PpDZiCs0pd<Tx>0es9y9-iJL_?V}totm-Es9AJh?%3^euqr&*E5KMu
z-jBtO*KR5^w!eaH6F)N$A+E6dq3J=jwHI#Q@OTMOXS1lR&&-<C5>NJkk;r0ZHNi}C
z9iz>^@WKiB#UsatE8})4oY=(giQw*QRmU}yOX`ml*nYM=5)-Q<@$ulViQM9M7{`P>
zq)klvVKi^Mwg1MHcyDI9PE9{QKObP5^(YE92B0xlY}PbA9A!tUsvX{v5~Ny-cZ<UO
z5oDc6WL8WU3l%&9ki)-4>)Kzk$V|DWmUc;;{qoi|s11=KEg^!HLL_0VRL<4vtr-~2
zMydJ)89_BBNJj7@1#7BB#JUKJNgdGoYBK|XWK<Mq-pqo#{}{|pzEm%(Y#rB6g%_{b
zR_&hWv2UpAxl3UUuln}w8=KM*G59g=$<(kjr)=!)RR{F)L+`WPpG@_td}EcZH7&e-
zS@-4a%E~w2qVvvf*2bCoDpaX!s-C}f06vF>g=IcGKPNZ07JzGwNnGsIo8;u=ATe)l
zMe<35&nYY5$&8g`Ch%q&Y7Odu2S)FVy*V$liitt_tbGbj^7a;;$GTvPenhG@I$h=F
z`oXn08;660rj7_p#{g{c9R4hhQrznNl*q_E(9hNQQXrL|A0NOG35u4GdQ@SwuytRI
zTNlLd#?<?I;({gY?CoRI6*zKp`eMAnkB~ciTSBnz!V6K%3V&1i#^amtwi(l|M1SIO
zy}atmIfZinx5riFOFv_0V-v-Fe=0Ssz!W7e*{inenU_PPO%stuN>-MAe7Lp8NgPGD
zhqWI+s{52=gxyHjpU%^;L9?T*;@As5)ibZM)#P;d1DxiaIHs-VDWIYt!1QdO&*01)
zSI=7eA>_R0gZK}?6!bmQ<^Q~6$l)xl6X`g6!~D`Fm^k}lR&w(?`z&Omq`=DEm5_xV
zNmE+g{ONt<6YhOSPoLa;E0=7ZZwPNuDH5DUz5ltws}`W%hXJ|B(RS&+UMgg4%|0{t
zYwPWz76@~Q;H-YNx}8fjs7Pqe=h7>EzlG#vUtw=#Np}v*<D^0?Gzv7j3lqAF0@TrO
z_JyKI9Tx7{FIl&(7s&S!%q)8eRU{ENDcb+lI1hIFRNe&LVh4_MmJrG&tb8{v@CI0;
zP4z3vYuhs_crriiCeQtQ;!<#WCJiQ>H|d92|9gth8~JlLNmo$t2*4b<Zs18Wh<_RY
z$dgLzJ0v0gNK#N9rW^K>rFiix|Cbf5=q5Tu3Y!nJ+CXqgLphJxX%WjzSczBA#(uJO
z>F17f?r~lBBjS$uzdTYQt`$W)$9yq2ov?6GgAYv>=H``gj_E#>r7eB7<k_H!XG3Nl
zH~^PSIGEgL_994oa_yVT^c$^_fm#M{B-f;xLD6;Nbo&NKqA{&0+w`Nu@PDE?rvI~H
zsX%=WlZsZnl9XaCExfE%!H84&=p1p@8X1M2p1pJ#;i8C|F?DmpbJ?pH%y(XTeRL9$
zWoKjCEC~lCD!Zju@8phrI<sAfprByGlc4s)Y8=wGcD%fU;%Pnjnl1eu=Z@j?eFh<~
zE|wUHPo&mZYFPBmYn|tEJ427{u%YA`Fv*AKIoFfa4ilDK|L)JLelIWdvIcq>wHfE!
zoO8c+L7-UCjFd#jgx%`m-o+Egnw>4I$2D$gCoL^vLUKI|3pvf(5)IASAD*A%C?D&N
z>4;`yRl<n%`z`r{y-w+?R<hg#K5?)6a(B|#ahp0Mb%%`W;@)`GMirbG0Mko<F7EIO
ze@}X_YS2r`?u^1uIya3y&Z5ZmMxsISJz5~*qFr@(auD+HbZC-%u2zvR+;sD;dcUxu
z%*@O+CR-GLxZ2j%8Aq3uPh9J&Vv9Er+hUQI+UbxUCUN&&kN|h|=~+?ht7iAMt@_~v
z!bG!3E(mXQ&t+gRDO~af)MWy^q+F8Htq<QHPkrjF5=2s4_$9&0U{&ZohlYj*YCiR@
z(AKs+dZ!lXeyw6V_Y2}V|9FJ7?&x4>%L;!qk|ds~S8BT$ZjJ9#C659}_lCF|Rkhs5
zU<~KhRVAJ#)->j+{^u+`ID}-9q}A3cjtCF*#Q9kK;seTxTYO0`!nmJKq06Ff16_-k
zZ(_Z>LUxGLw#2&HTAzb8Z3=R7E#rLgbE~!Ev$D)*)OZ7G72~~aZ9+hFjL~}PJ+U!}
zbJ2P!u>1BcXN?1QLFVLmT}5#BMHkbA$l>&?tgPe{X;RSa*xauNN|t9re8EevTBn&;
zrq4Pu!e-QZkI{uDTzU8UNk%r*T8eCJJ<1d(H{rV!*)l!Y{|_?pf4QCfpVajKtTFq4
zW%@D<-iyja!M)Ri-TW=u{rU+?`0<L541t=jqRWkB6I{)L#5*54@|(kA33%&%in79-
z2$JW^Ar>$~xJlVv{+d<*8Dkg>TR)SfKANrB=c^xHK^`THN`Gy0b1=#&e-Z%S929&4
zJ$^Kd^dxoYPB0_1x|){4ku!qJENFy0h;YMkaked-aDfoZgNsUHV#4JG()$%rQaMtT
z3@OHv7kprfl#`HNKz{R~{6HtY*#x*azQ0&aqo5#C#Z|lX1TXGFlM_%Mp_(n_Z7Ny@
zh`Z0zNbw-?d^34UCVUrwb5$RT37w$=6V08RPMSBU3$ulb&VD}zh&_pKSXtMEA=_Xl
z8`7hY#87KKehfrV{8v#^yXh<;WFvM_87Uz3jn&()z1V0HSPM`tZId<=qJG(q=awt{
z{Y1O3$`ZH;*{S9IaXxBJQ`3<`k|hyREa0`X*48;o#@ob1+8RLJ0l&VlTHB9aJ<qmz
zP_H{=JWnOqDZvbYnU=ZS&;Uu5P))1Vc<P;R9i)&9m=1O~L$&80P!6n`ZH*F6FVd>J
z!q}7*T@duMR=vSz*p!ZnktAy}H9p=|A_3M0>4P`{p^6z9>(m4ja%FYSAN`*Fp{YsZ
z(%@yb0j*!$m9^)u8*h(*U8YDcTui&x)70FY`)-+qK(i~VAl6GMVhS=b{E<$IwobQ?
zne(>|P_f#T@j#P@V3PKAkNGVa+MZkqX$_M=C5`BeTFrefrcH)Eu=I}o#RtrkIeIUS
zX*SS5lvMJx`i%|*3dF_DXcRx779m#*I1?-8R1SuycC<&epLcC0qedH-o3<U2VV(IP
z&}Y_Lk;kT_<RW8c!ZR86h%%&MJ!oUoSfVNwskvow`=R7~@n$+h7Qde?(9BiHmn?ME
zv}N2fvc6b#pd+TE@tj<?M8W3k<voX4XP*yh^hd>JWvyaW)^(QdzwDyrQrD9sEZew4
zd0P0>#Q|g6+7i!VdO=-bqEmmT!^$TG55Bu+SzI~Qrj_kCK0fEN>HNu}v?}AnA!d9j
zhxc7K`p~4q%Kt!jk6xh-m0rG8rJ{Mz_v@ftg6+1V1eZlQ%B)*NgFbWO;e9TQ22SQg
zg)t4I&}$mxlb(9}qAdraGy)DM1+}HQ(WSTAbq{7};{R1F*pKoqE-Z+fXcs?gaw+mm
zoAqF?&v|gk_LFFvcK=3?mea`iZGS5=?y&6WU(lL+(JWZGx;4|1Ue4sc!R+<wJc9Gk
zI?;^3-6qs=Z1aQ5#(*TgR_E56&k{ZZI60al1qc#|kto+{ytWlP#O=vEd}KqHP%~OE
zoM<bbUT+&`pNJyi2VPX#XX(G8AK36bqR#|WqDAV^z{m92vmYCM2zR{DA7m5u1C6C`
zQzU?>Lq$vO$dSr7XhT_;`rGLULW%|5tOvKOQyYe=i-2xCU9^@3{)%2l<&Jv^DJXvf
z#eF<;8C6b@iT_u1Umi_m|GxW(q`{cXL`f=RWJ<<D=|!3(5h`WghRBpgqODYh%uz{-
zROVTRWXc;6nYO9O)QiY;uE+a*zu(_F>zuRBI_vk(v8>fv+WXo2`8=P`JzV#FU)M9r
zzUJ)lTqU5RZY|Z%rf<ANZ|lM}aYR!;hK4@;_~O1Z;G>r5$&+%puxM&!ZtE{k`jY2o
zaO32l%RRFCB;>~Om2B<We~+qYUgY#N^~-eLFpFBD7V?%l^;$`RO;eMTO=nB;U)|6(
zZwbDkdpDw{Kkr9xSrvL_oH~AG0Me48?^K)eijkT(Ka}okHnS(uyrJSov-J{}p9Ame
zstbkF6wxB-&u_f;80fZnGZO16#_LuavGrCh`PRPy%T^IhWjW<5z~IfPvwzz~o(Vc9
zR29kMhiEREJ-G5O<DPR-556x-cCj9Nn6(VP>G+@ni)^Ard#(#PlYz=7s<<}y`Y@+c
zjh^;6Km|xwQ)u$5|C2VR{M=W2>~F<F|1G=|uH#~B#XhK`^U@Wiw?VRaioS<E-HT+i
z&RUBZtqO;^fh&AJ5;=GL`L|iU#{|cK4*pn3W2=&Ny=5Q+Z3)Ys1V;ZXGSGC-D{qfJ
zav)9Y={}BesWX@=t39ME7>4Fv+lSd-{>k<9|2D(=R{u)wuKs@#v^;xi%3Ts<ci}=c
z+M|zs;*$c?GRl#c_3i;7%^a9IauPd)9H0}e2Cx*5#;c^t4M)33jFp^1+W#7(MFR=f
zSe|1WdtiEhxiR)$U!-+NH6{`dW5YXv4UsHy-xDRV0@zzSvqSFgZf=wD!Q@B>MhMOD
zsxgx8tO$E}>;7r9G5O5A+n7dP67A6asIu$bBWD}Q@)mW+^P+U0{vDSvi+x|TYo=21
z&yPkHT`3JQ%5Rp;z9I<t`K7@xi~N!hJi1Fh+x<W9EX~}RMRU0c`AOu!4j|!Z(ODp$
z(Lk{tlP@M`F~BRd1*0en@vcMFunTRMr5w?=GuxD`MxNX;vb_pyzG0$d120*2jQV`o
zDSeP=T1Dq12r=Dfv#Y2!i<iBB32`0G9iyAyy>6Y1^%}YZ7c38mZr?r-yZ6h(yqB7F
zQdO_*lap(IzMWDH3hKz}e<`2&wQ90&!ON%Y$j&|a1(u1=u0&nZmff&-Z*FzqI=SKb
zQn}%EJLPJ9>k`KXFAZF}dBX1V?}g9#Ca5Kkd3Aj?J7Z%*PjG_8W5o(lYE{Q=ouo($
zkd!3Vuo933jO+yf*eUK>07>}BUhwkqoeddmh_4zeUSc7Pwue!rbPLU;!+Sv5%6H0-
zfb7Ax0UmDd7ID|wh6ZlertfalomCh&>HhNx`VTK(zAPSg;MQgr=^I)i;UfMzCvIX!
z*(wB-Cr%HP&GRq*QJeAn`SU{qp1&tAKv`D)L&M$#N5Ng<;?E8Zm>fGMHqe^w)TQ%q
zGdp`|>dasG=U+der8zm2e|iB9W?YH*M`t=v?`dm^{y(Czdqof1cW;5j?B754wkeEr
z{BsHR>IcP5bVj{0r%Q;pb}cL#BkPK&jXTl{RuGV{zOTg5;EAD_askl1Z=%S@H9pbj
z{x;=BXn@^WG^A1vqyiG*7S=Im+q$|eR1G1zxCMVT&9vPzz_W3qH2DtjDdX;m%$B%H
zl7vs2LXjoFgQq7zox_Owt-%Y{g>gFj_T5shtf<&8K((3t@nyYjCLcixbl*yvxDDEh
z#1}8t`T0@bSm*<jE&uB+cp&~{>=gn3(FWJsRBD(KWSBQ~J!WIjysN_W&uwnn<YLx4
zzwJL_)ZYyKnG62CCVO{QFq;48wGXZ6p`!lJx*nX>7bIq-G}(+yO@ly**Nt8zCAV*E
zZYqMb-rfn!@R<6>o2OSHHa*j#7I%5^QUQ$M=$bDg^#eAGiwOK^7E8am>*Lk$eE2}J
z4+|Ko&5B~anzml<UH*=$Q~4Kr;2&l9sNY&MHskMCXJ$O(BYBJ7zUAC%5K{s`jWSTn
z3ySRokO>C{2fu@8!jCA2T>Srq3m24pW@Nxn%O)sD1vJRG@O$c-amu6?7jxC1eMnjy
zeP{OpzftkaPR?5lu9f;@9|}VT8BNZ6H8ttx7Zw_`98QXgi6w%3(kSJKd2QuRkBEKy
z_pe4f8oegl$H)8ELuTo-c4&J;n1I~Qov%)pu83}rm$P9Z$q_vQ927mmEDs%G2Svm!
z+-c&oXG~Z(Jw3e=G#6b%lI^Xuwmqiqkd!-r$&||j?S;xy%D-(FDg|47Ez;X_?j;Ef
zDc~`5KK=W7{rm$o#uW&$hYLHw>EMGNv147yEyJ?l49uSnjfx5aeU1u$qJB&r>$5u9
zEn8NCUEx>@ucD&>xuCX@Qj{%KLqjC@2R+6!Gjj^SA*8o||CRW7H^miDowJ67utLlC
z#-vqfvO70bQ;T}6EC`i(sFhwdiAhPa5Y}U0WX#)QZj%$0v}4d;G3Q?V?hjr3X4Jo6
z3(LWf{<7$JQsZgp4c}9U$<3Ew&@7q!{)vLqN@!q5f^v;9yL?FExT~sjH&HZ0TN^zV
zujnL%`S?NOn0gmo-ZfYKF?Y^_fF&c33dWn6IsH$?C1C>n#@UoifqtW6$}U~yCMUDP
z(K)XUMrTP~EEF3%`~E9?Jgc`qF}`*EIs<tuGBPr9zzvH2q>k=6Sgu#Ta~D%<f`fu&
zKocy^xu(3TDqrqQfKv2E!XA>^SSO>@=14VP6)S7&p0TkzAPRb%oNSHpa+5r_ZJ@&l
zdjDRJ)y67zhq50sAtmo=37iNSkbb^(?BH8-V+CgVBXJ|3L&yM|-G1+FAP<6ox$w4a
zt8w`D>FF`e&(9m3Iz<H`DM<pLaqJiu#^<l2dor_g4ut+P;B)7p>X2Q8o@jw)<KYPe
zf7WSai|^~|DnJ2DzF_t1)PCELw3y|6n<m8XMA=mz7|3*+Uy%i-S7+~D2Hfju86M}6
zwp~7G?NhqEsEYo!AoSH7du?trDisX9ycjiKKCmsk`_*-M?8Z92fi!_G(B;fSaAeA=
zZ<?a(cQVVq6s#@XSchT^@qOzo+<o=xRind)uYv0W%i^t^nrBu`?%LxuhghcgkGqmv
zH*B~F+tuGr`L|cc&A>oCjuoM?U}s`@d2ELd(jO@Y8?5HlW2qY!Q3%P~Dx*jdEk<9*
ziI29KWuVZLkcwAvf1c26djn(}`N{`cTBEHYy@Efi#1+04Tzb>_6Ba@QGzoZz*4eX9
z0utRj(B?ya0Ob7Ef=YKPJRLHH<OMNfIwYC;;sqyYG{nwln)X24ual`|8*{&>y2rvs
z@8G1_T%4l512IRB9xVeS4EZ5ug<j3t?0NN}0(c(R!ThooJh&WbX1SYi1<Stoq2@tN
zmzeu=K&_~m+Pnr7Tla)jT6R6?s*6^vXrO|CR-f(Bu-UA|WOH8K0^f&2X;b{JSuXbL
zrlN1A%~2mY_I|U8{<?gm<4X2_exJ&qsbOl$N6egI74v4gO2ithBF=+?sKWhV_PNen
z*D5<o?x!dE5d?vu2Te~;&%%C~d$23e5d!LdUsE%b6G4ee*w(yAOiZlbsmWFzcO|^?
z=#kWBnsQWVXitw`tj&(9%9618J{NnlTXHfoY%fhSR}e>z9n0IJ;6V|s0^8FjVPS%#
z73}Lht)eA082yItgA)|z2-~Xou%GoCjw_wK>GHf?eloX}XGn4RX82FGEL0k2ht}Be
z!_7)t(o0`zMnaSD={p<9NuE6uPkBcP(t4x;&S`=av*&7&_1y;Rozy~eNd~(OQG(7r
zTlZM-1g;=J{5}vC8Dpt7{dK{*E-XBp1|vcU``yZk{~r7U`$CoT(Xf4gD-SG<SqOCp
zWoXK)Z*Y*Fz<@7%c4fc8^uP>?H=AI#(cq?IWOP?i%auPj#;N{wSiCUP3<|k)1WC4f
zyw_!`O^uO(JO4>#h49~hXvZ)37Yr+A;lVs{+#J!Mfb(ooChJ+93K|(kf~4_0(=0da
zhm@@pPG$m`5Dh(eB?xy|o*1u=H3-;vd7d3ENW;xd9(+E+?#~P^VX}`Pz_0Zt&j1dD
z=mr&<`K@Z+r>l>^(ckFq?pCRB?8sY5FtM^`t61K>@YMM*rv1<S`ys{LI?Tp^PHcKS
zfor9wO9I(9Cmc)N!~0bKM>PVUHJI1f=i^h*`d)PFba*ecDJJlBXt174t5<6Vun3Z|
z2~;i`lhwH$`i~zwb`#c~&^U8Ol=QEl;p;{l+sE_rU`UgDYx=U;{83Ta7rUD=Lki4T
zVe;`la9ya38!q}ftl%<dzj@Q9pIZ<Qr8j<eo5B4P1e7;9bbF)l<gCztWs+gF5>+;1
zn}<3{rNv8g#n$idirlL&`4L1GsEE7K(ZL{Rzkc)P=M#RvMo$T-xG|M1U1tBe3w`jk
z+f!sm@gXN{5M}?Rr9|sn--9jP-FHDvs##j!_=31@uIm={TmgPvT7l2(PSksuu)&3F
zv4hLdowup;-jCoPbrg`kJbV7U41);;8=~5kj6-0`X@7wvmUF`fOE7Gb5drGZ3}FZQ
z8%<&xjr^XP<6!iV`(grJzri&KCtuk#2qDH;1!gW)OfWL1m;VsAN$173Z@r)Nby$(P
zUp)IaHL1l{`Ljdc?=LX3eRe)?Q2i!};~<ebF=55JMj7THs-lxMEG!HLd+PhdcRmgw
zp%Bz?=?T&VgG@?;je+T^e_5H<<EKxx*cb?nKmMRTcw~A;o=+AOItXDjQkxSI@JxMf
z9G)WVyKdSoKB<}yH?%ly7~(Q;z|Tclp}zcr49`$ZFnHkMgI;*5&GC7=s=^zgf#Mpr
zX%d1U^N>GxO%FUfmO6o)!V=GE2EEA{4($r0r-Ku|df-VJdTucT>Lab&CFA{5u7ksG
zZrXu#7(5F0JfG7o?!agDTwWZ!JdU(=1%aXTyRoq&%`+oCA9iWO?(4cdu){_X=r<{*
z^yNvn<Waw>wIihVVfP-t*J9sUz^gIBAmNhj{mW6}#A^oF$0}IlkBFvb=H|4MKUsDa
z`OW|%x%=?pt+O@ZBBG*uhn!<~BGf3r2x5-kf(pKRp-RowYu98g%NQig3t9&&t2r6y
zphvJ0eDufRT2G^)j;rM_4BO8?<P(#S<yl8_wHSJN#wo<5|6gnMCC}Z?zN<)3V<h*4
zk&!>7K&>$MqU1R)%q49uami4^73<V8Jb@~#$oB1PKxQ}T@*s`!SU{3__oK%1AB!(v
z-m9x?jh>tLwY7Ue^wV(A_?(m9)4%G^%O@g&@&p@2#aT^FO&<C4Y~UcTh<gN<h_K_d
z?10pkb;?Z+0@b7sz-k>{sBDCP{P(ds`sd~6pW?Or{M6DcidnEZKdpCdO~MJ+50{`L
zpmM<tDlBac4KneP=VQj;)`@wL>}Vf7y5ZOh6A{YW`cLQO$rU6Y&?Yglrv`pC5z^c?
z@d_QI-_|1PLcriW-mQtQTYA{VEES=|l!()~gXWQrLT_%35pFSyS(hHY5SPB?wHggP
zoN|PQE@br4`uImi^1v5vSj8$dX;dEKDq00%$^>K<0AYSr|9o8;J9rXVO*!M~Pcx5<
zT}6u#Ee18*zkgp66ATX+2n<21`#e1!mwHw_Adk9P`9r2(?|J198GiJw9vu;O9hK!R
z>dU)@7rW*7kIq7V0&d<nZRhuAm^h->7*TS!w6x@Exdg(<S9q8LO3no66doK+x}l5^
z4@zv79}_gE!oiwE5Gw9NeIu_VcKVjK7hhIK*g}pLe);jxYI{D|^GyY>jl%U4{)n|a
z#m=u%j!OFaw<pQ(JtEHO3Fv?f+68uBT!-Ai)%tBcMPB!l<Q#Cf^z2%<no)#RGEl1^
zN)W2t0>NRvy7MYenvY$3mLy!)&Gu}k{A~vYm80TkU-7Z3%_LN~%kxoZ3i9&!=;-K1
z*S4-671u_HsuYzZFsxV~o)j~r`0I^(M}&1pC5OfQvWays`ZW^4Cy4w598$#Hj*;x}
zNH3u;zm2U;2X<IT=SIU3q@Btq2zdTbrKmiMab#AA_S?E6M!?ca*}2(neae}$XXyy2
z_4If8$95kKaiJ|g*0`Wg5ovO1edl2`_8hdfjFOIsO8y`#EzL@Z7LRm1oL@mt-w3S+
zVoANHZNW|DRP5A~zL1@hQ+ZT5<qt3YdT%Z5vq<eSu^ySJdFf~!EFEKwe8i=U(fnr)
zo=C#er;P9_Z<SNi%_1vx3Sa@7rC&eg&4d!L=vW7BHClxPkqIJo@J-y>f#K5(#7=Ib
zUwJqB%{)2<^|Cc9-<nDir{V6V!n?3B(I7|f-zKDQ?4qEX>%46L4J)=WT~)gHs3|*e
zcXTiK>@pC`2eW<}q4805eE#@g7n1xT1H5kbZlNy58pnUiQ8n#sCkrfebQlR?6%|u~
ztw+|3Zr8R*YgdXUmp|^e#pILU)LroWq=l#H$2*YsR7&0xnR*c8XwcX%aLfC8KtOPI
zCghJuH*S^w`uX$i^TQTPWk3nnYIG{2dzufleXztgl-{`^DTG(NiF{l0k&*D0Efrgf
zx&^UsDHO^K&V%6Zs~};QLFVzJJ)0GQ{a&~_A|WS-2MpoQQc^S#EQ!XBzi$@sjomR@
z-QSwSVS`Iz!v#PxD`;@5QTwM+kVDRlzhi~Z+rqGNrHHI-<Kb=c?+>4~%qyBHV?CSJ
z2L$9M1hu;HLU%EBcs8wb=fpZMFZmK02uddKUT@LGn>nU8vDdZX3C5AMo$knUrzypI
z6$;^ID)3Iagn9=1&Vl;BnvM@Er1gnM{HCV%e;Y=apFZdEto?oe8!DoE1J0|n3wQRO
z!-vSY^yy7FB{hn7O4*r*#>rpcfE<7wg&)Lko+FtpL{q)Ipn$-S(m=u91AZ9Lij=Wj
z0o9Qgj>Sl;BjrJo$-F+T&vWwIA(Wy&(Jt=dV<vU9E{%ml6zNv)MTqG|_l|-Aoac_}
zPrbqx!&sFYpg|5EyA>2v26R~J`@y!ffo~y8)`l)y)IA;)D`N4m?$?;D_^6CXI_^uT
zm$;s_Y;*jt8K{edq+|smM@O__wq?FUR=tJ4s6_Cr2^<9`yqkGLO24A3PSk<N4Th)&
zxz2Kyg9lXT*Bdfil-}ZCR@c}vOeW~Y-J*79?q^Q0)LCRt@t1;nm1yc@9MHG$KNwRd
zEh@?Y5grZfM=1ORL$V6`swB{XugIh7DFd!%Rj%yKF?FPlNjYMb>m=rZP4*6$85=);
zFlaV6fz|G(Ea%u(rmJ-m$}eM+@m`Z$mo21Yh6{xi+N`3&2me(Liu{qod$eNf8k?7_
zohS<G$Ge9A2&v>nD1uCaHs142$!k&^?3vDp$ne#>F%7S)rL_X4W6O8Rv0wM~Pvn#}
z3TSI-y|VwZ^US$(WMqvP4MCO`;z+3M1VRrCLQkDry|&ZWNA#c^c^i(Eh7rCJkabd~
zhK?fQqmlQ5v}(%&JIyaGCb`HwTb3fGtK95F47yBC{ig0to5SBIx*;wpWd43>t@nRL
z+BmEJ_b41Ezvr!gqjzV5{;z?m|3}d8fAMi@-QWrY9)w?|OFti<%tm{Kq~mUN^{$ug
z7e51kN-$0t$9(HaGsm$BAXlwf4*Xyt1t_w1Voy5MD`Ka}s1rQL<j6N<aUSM$LWHFw
zDk4?&lF<7b`Sr}UG2v3D)`T6nff?1~Lq?($`0{5*wj=C85Sj8$goNWZ_DH)Euv~`@
z9lG-Bl}vEWk?k8y-=4n$zqCm~feZAn-<ngo!3lb<C2OUozj?ZcO%7M~$PVTeIPCaE
z!ps%X?y8Dt;jW1GE0Th=rZ(GquwJmdyu2G<XzH^ZAC*OC^hBI0YhRh*U}by<@;o+f
z?p1^mq-IHs3sCJHq;v(Cl7-d)sN)tz+?DQm!f}7hb+sWQevH>3AvX@dUfa7@&3_Lb
zp1^5apS-0*Cr;c#`f3SE+sNG>Qou)V!<!+K?*$ZW9MB;?(vja{)jPTXW8jcMiFlT=
zbJx}3DX;k1Lsf#9N1%tpL{HqOp*s$j8Ic&RBrsXCTkY584J0<X{~Gy8s^`I?jIN+n
zn9-I4<rVXq8)Y;vEEx5<NafLKfjcnx20nh@K8m;ve`bcqM)@eqo|i~KP)df0q=eGU
z?Cii;v??oKrS;?>gtJ1BCI}FB@7)8+`{z(sv3l9NccJm|cW`Pgk^lVbPB}1Nn1dU3
zMDPgo&Ii!Wk>kgcVDJN2H&#B_b~xe4_KGRc(8(eUU%lDUr#?oRo&Yqcfuu!JVH7fU
zoZQ^>#3BgelHgU;+H>^xekQB%*igV&SHWyNX3;f<QsoR(Ug!vvJGxng$VDzE(OR2G
z#m*J}$ifjrmX(!#d}CusMwKwXGufBt6e%QI!DeachW1Aarbx#Ke=bQ=lT%d%J-vtk
zCp{1D?eoL_phe~*dJI?M>yiP+NR+^YjKgLg5MW+jV=8(0gwV^n-oEt}9n24>h1^tL
zUKi{EjsSk0fA;MU9tI3<-;uWgY7Be9Iz}Q}C|8Q8sR;ph-~xT;72rC_y&WJR=6M$>
zYYqG=rY%I6NeK`kv;%S2nK0h54q5`OK!G~i-(FP3_^!vq6eNjO5_iMH#fmO2Z59{T
z^BKdtha^Bz%Mn3}VEGh2;#tqZL7qlL%BH8PzPx@ts47!kQ}d3DasifVB{d4m%X401
zWG;jFk|9LdzW6v@yqJ{}50zg+1L3*x;lu3f*I(=IK23%#@xIf%X!>?=tYME+Rjfs>
zXNk^P_%II4_Fo$xcV<|%YO|OaBMBP7Z1eq?I{%#qk~lPyyr&U*bKpy6KoZ>w(ZE8A
zQO$=B<H)NMarBUtLtIdB5wlbYiHT)t0(2Tkli;U$WUUx5CMbd{Ct-{6sQamc%-wck
zkD}vO{{v67koA|h0DmwVTiUd1SF^+1TlWH(_q#xYSp-#tm6UjZg<c$V8ih5cv8sSp
z*jb#>Fyi5n!Tp||IZB~%7kJ2;z^32p*9Qi^mjW&G3WClb<JAoLUB^vK#ETjl8Vq6m
zpJ&%Yt*gS_08Fn=mp~WK#>=}c&3YshY64@0Rd+UWM_2$qv$~BIW{#HqfBdllm7<Q>
zhxs03abyIYI#E$owH9a_sr^l8c%s54=~&e^F#~oWK2^qPwc0x*e{p$>ovp3?Kx>jN
zE1my1W)e=AjUG6$%T0*ssxZ$wMoZB5DP#+>u?d6Cw!)U>SNwVym}A*bj-}oJtyjl@
zY(_wG1M^=Ct%nz(c*BV}<A<6K#4O*SIChQk)?gjFYp*9H2nP>?0DLvdD$GKun2unw
z&1^e2Z~F4s$M0_Loi=_iGo}EHQ`*%e1=EqaGa(2|`?UyI<3;ILNdW3GghpUc(Cged
z&a-0umv#adr}M`?V*qHgL`N2o5_JNW4G^j7s(0`p0|5hIR^ZwA=-1k-5PoG$c=hVz
zNCqzeUrd6Kz%y}r_GdqNlwTS!w%kRRGdo0YGV@e-@8-wO#{+P&ohz!pfA;K7@ZVBi
zZ?l{9+Jl+7eOQMlr6VuR3;DoL7Sr6X63YVlJzYQx?=qtP%5?38%=x#j;^I@i5mG0!
z)<Giab)FBXxo6UseoLDb`w1e-$clOgW@_YM4x@G;=ZC$<GAOjP!*Ir-KijKNE4F9U
z7y2cfsA8o3%6pUHh!md?h&osseO9blZEo^AeZs|@D5Rk68<vZ1y9~%W+Rv*fNd+~a
zVPDY8$<k7UJhp^}nVA5YIzbr#Yl7dei2Ea?Eh+(HHG(@hKl|jVQ_O&4J3I4%AAk++
z^P|>UNF1Doryy*%(wPF0M@^@E^*6xFAF)y9$CehQfxO4I>5`}6*2qCBKLmo)<$7Xg
zdjTiXym5JRn=eosh^=qtGYku>25^&M+q`{Z3>pHQ2;t$pz|jx5+$Yx60aXy@&e1*A
zmFwgk+BlI#>Rh<6?Y7QltT;Y#9N|1Y0iI?OHVWw7HBp&sX^`4%g-w>@HMM=Tvv7yd
z5^hdF*@XczFDs4OpUopG+m%y@Zu?EDssh-sIj(~tCgE^3>|00l_wUzqaoLG92}0O+
z@M%H)_hMtI2n0C^=lK~*%pUL0G(U*z$l}2h8mJ^d1cC}A9%hviPaeDg?&{jw7oP&V
z5MTgcLY5w!9;@b?*SS;y^1`oKhWfC#D>F^05QqutmteYjn0gn%IaDI)h=4_#f}`h*
zN9DF}Kj2eOSq`lh`wH4EBLnq{VgwU4*%(m6^JDAEKi`<>RpZcc(XXd$CFM&+Ft=bx
z`=4ygFc?}9Qm4vKj=yAH)g1_{7c>V^!Phwk*n%HXx25c{aeBwipb6jhDwi48Lp|7W
z5ObuNd2#tS&pT(n;QP=n??XqBkpNe=r99sap!z|>k|$n2?o=5Vynf&b$C|ZkB^`&6
z$kV)#nR_U0T<;Xm&rCu-MK4CG=6O<@Z6D?2w9>o)pQN~YFTh3HQwq_a+9t7HlkGa#
zZL|qtgr#f1HLcLQQOP+076_ENLz3#Q1GjV1QTQ|I2-*GXf?ol_gu8j2YvB!jw&$hR
zcH0=8!X9$Y$pZtW<$*Z(Rjw52`*u10DAnKFx6(G#)Q1E&13KrxA)%3SWCa1`HnWg^
z#82nDipUKELwO7FiE?vv6O^;G$-J~1gCQC?gpz3>P@L!j^?=k!O+;?~i`wsQDnB~%
zxrvWZm`TlchO(-JS&q>U*%`1GwtgMO^ZbaX99$En=oEsjO;6whVnW(m>Y3Hm)j@bk
zN4!GT#MnX>A>sEWq~ykAJCY4IlJi#?Ipzlsu8UG|SVOpbwMJq8fW?847zY-*SyZ(A
z+&r>!5uzLI!3KtD-%@-HqU2X&`XTbLY)AUDXL>%1NFdu6)SMnXY?@og!os!GpuCqJ
zYtb0bPsZd0B|i2waFhX^{BZHuYb%!BH&AM8guY5HeN4c<`#)xp)lkd=uRuzwjYm$F
zZ{ONBe|Y3zVr*n2thNLSv2(5+Anrwyn_FOL(O3UEFMd{52v)bweHX%M!UthRv~@g-
zfYQf-EPx?&O^Y(!>r(2eI6YQCgn3ll#4+YgdTj*F6PA2CjwXM4l$X~wkOg~o!Dng$
zQk!eK_wUs_l3G*CKWXkadp30#6+2+(>>3?9`u9=G3GOF_MKlm0C@GovpzOIxM#kuN
zmwcKcfyk`=b{C)Fh--NuyFrEZtqY!vB^h?fiXUpZr!Uy9o9@f$A|tWBx%nq7{(;{b
zN_-^t*?4791(Z2X<++st3w?F2jt{8QK{GDYOyHBOfMy=^wu&O%0qrl?jW0hk1_McJ
z&;UQ+;CkwY))j+TmE6LB)O6?LCpsGDd7>*TGq)g$YR__@H$vk}Qlp7kLzBiCYD#JI
zX_;1jTS4O(e(Y>c@8~w|^cL+W#wSiKme8}BoH{q8xtah9uJCI;4-Zqx&okBo%-@!i
zg3f`g+FeZ=4%Fo7FTjP8X_T#a+|obplNlG&X;ws*>3W8S-0|5C?VnQ|$}20apuhAi
zEltPVT*z;xXBD{x;p7pBF>cztIm2tpHo83$S}Qa2=xBJO5}cpJpy_<x_l8za_`-qG
zI2~?}2VtqT{15CW+)jATeKjfc%G9RjPrp(WJ8tEXMc1(*t}XdOB!>qR8Z+Z}?<}A$
zuki_Ua~2}-_HDOz1u_@Z^CNpW`Yd6{X{{*;i47FTqtHr0)@Gp+SPJ|GnoxfS?&E0f
z6-MAY<PBC7;mUhqVK>x#e>d@}m7Ty=ru_v3^4&n*RpD+>eoBpfiml~0<FhTPYiP*!
z&QE*Lyin`CfJc~8I#pLy>+WX4=J9hN7dERR!yVPpSMVujMLxV}T7gGFq|U}bcU4$e
zQnK#*f~OXsh>Af7(Qx;^9kevO<7n|Ed55gZ?t^;P?yw*eUd={ho@6Ly`*rztG_MLb
z@p?>x(TUBe*qxg^-w^$npMz*(cCO#j;zH=dhpX{dH0Z!B3z0rWUpCUv?@ZL&>L|2g
z<UBd_CAQXkb!U-p`;Zp^CYO}Z>c-bQZT#B3weN@GDcyP}S6)%^r6am!eZeJ1>}ue4
zD~MN)9V)kl_V6K1I{)Y6)u>w!$@k5*v55>=TRMHsX>@4MoVs=+dHTD-fNb1u4}&s2
zpF6WWg+NNfWjM(1e~*te2daCMKlQ+Bm7@ew(SkTyu(O_=vLg3(L32mJq1w3Wi+~+&
z;LB?Pd`6$ZH|PL)rl!jQ@rFDAGl4L9J>pGE%ATagKsW`J!i|Qq8@VsR)pE74GtiOJ
zeRU(Ai7yT|*=8zLH^Z4<$K_9)f-d>Kf`vs)guV9O7}s6r`p#$FiIev;PXX1&c#+2i
zi%~94&g+=xTur=!+})WoXOs#hGfgGcvUeSd*!}DKHW3jKnn@2jK^`FavFhAhgjAJ7
zM~ghw#@1+n35`bNf_y<_>(*6}PF)RKOFn$cEDA|vpdXNZ5<3o1iQ8DGAUwXfloS^~
z+gL|_01_&z5`Q|{@9F8jp|;E&FyLgS1h49bX14m<Qz4{?OZgyro~p=zIIfiO8XZRa
zH1WiJU$bu$6Vnk;oCKd}1z`8`iCc)5ou_}CAnW(!U+f*L4kJiJL22TWu`ve<9k<Dv
zYbNu@<7sB4Xgmvo>!v5rCoqnlyWMYD4aYy{TB-?@BdH7x4HXG#-_EoGhWZA22DpHX
zxt`aOb$W;yk{MN5S$2TF<-h=($2#{+xFZ3_r3LnQal*Z2wi*d?afzwL@AgQmGygu?
zmb|qPbDM-el9o&E#YIwba_colmU89pdyp+vhk60HZrZff2N^AJ6dIH>;5;`0D?>Sr
zL`;Vdo}LCawHZ+A6JH^9KLOL1T;u^A89=>-EMP)Ob49{Mu3wPd`BGSih?0gAi!Khb
z`T&d~fJU=QrVS%M2ePm(A!}<tZg2wT4;@t{U0oZ|WuOaJ3{|^E<i^R<J=+!+7iaqJ
z8xl<lP0;J%C@n2D66a)MV$!g;m$*3ANd?n89fAT|XYV-i9b~Frg3!967-@$uLJKWi
zwxNL)hX#^c*K&Md7SFf6P0^kkXK;$;-yXIGl_z?m-7z{=R-3R}J$(Qh$f6mgsj2BS
zGz=Z9>ta#GADS0`>)fM7_Lt!{@%glgHO$QWAc!G@;ut#Kn%YBjk~9%Q`?u*d0`&o+
zJmGcLZ|jx(>F@iWx~f6VbzbwD@M1S9z>;lXuS@ROpYN8}`umjEgk@cK={3seS7ov%
z!=NFi6LE&bsl2!K4lUs%C<)<D<}{CDRDkBe^#S6#Rd<1HAd~Dy^u<z@VkABe3B+Dh
z%rf&Jdo+?^*CG{QJ$Vy@h=JO|COaWoi85p3z{{mLsU3t#{>7I{p^>`~!oj0fVfPJ<
zPwy#>9;`%ts=V?Kee{*wy?_5&F~Sq6k*dSszoUZ1B&9y*V?8uXE)}*MY}xT?TyV5A
zIhn-Duu}+O1CCi657a9uoA!OW!$;oV<lu6Lnj-%DeDm`SWS1BqT#-F{1knvxc}IOQ
z5cd<2^%AiFZmJikI%!#;o)Yr$qY?0(N01ot1UJ+x6iLnUFEXS0>2A9bp$`wJ_NjOc
zipj`iSl%}@czEu<a^(sMDUlUdpwB{h?>-|VHbxeKKw$5}um{*V1{L2f08VPn_mBog
zD}z-zFVFX^*>;_v3Mc$|1-=s#njNFt$8}C%k^==!9&RbK66|31jT>3fUw~*G#zVsN
zEt8^CXF0kIX-(66DozgSI6KR{e)A@S(yJr7WsBy^V{q%J1hB8=k|=>(9Pr}do3~X5
z(buelgo_Ndz*Zm#YA-8Z-F^Fd@Z2g8ecXlD1J$?5SDl8qJ(LOBKJfIilP5w$!@mmF
z4_}?kN&VYIwleAI>(djepq>Br`DJu@Bfwhr&?e5SFCU&JV}d|Yh|!7}WL<>)LakI^
zAk+<+5(!w41$cxedIkpJDx%A7f#+|GH`EZ_UA$-<SdlPV?tEEi6^nodn&c2JIIwsx
zTiDA&WN?iiwe-i28SsH{raA7zT%bJAOwqo#H{HC@x$iyu<0nrnXU2Ps1GJZ4yNoRY
z!x+4A^QKi#*$u)UJcDSSl!rojAi$>tEIjJlkxf0z_i$%9njya!`SZ|<jBWn;`JZ|m
r|NEe0@{5u`|Hqcf|CWy%S|YY+^lq4VF&s|zm+#+aus2QX^ws|XeWuLv

diff --git a/reference/plot-13.png b/reference/plot-13.png
index 1966b33e65e91e7d0d11dad53411efda5f1b2ae1..733ae9cc7ea7dc455622142c5e91ecea32699f09 100644
GIT binary patch
literal 26205
zcmeHw2UL~mmgU7*1uBJ#sH9gIP!SLnP@<L~A}At~lY)YQAd)ksr635Dpr9av5y_In
zB^U@IQ6xtNm7D}F;R1K|cd7Tfx_hSQ&GhRDYdzPh0^z@Z`p$RGKKtx*ym{id(n{8i
ztP~1mrScJllN8EQCkkb;$q&o$la`Q2Blxn+L`6vfU-4)95Y-c3e!P4{*Oo%z^(OzZ
z1b!VoN1^<MqO5T6l+%NOHrIQa_IdInRS)S)vv0Dp>iIq_KOw!k@8HPQGwrL2KVMd@
zD5*`$jd;KF#|iEGCeG3>DYdzF$!Vunuj+g9OyJ_Si|3wizZ-P*hpW5(QtqEOIm~Xl
z|5fXH+DqNH{Sz`{G97shj_wWS6?%IX4^LM*p8G!SCda(FBN0I+T+HtdH2mPiLcTkB
z^c5TV`uoX6M&zs4oz)|Y$Tv^#crg$C%d;i9<nNU2TRtr%Uyp2O5hY&_9R2a{I7J4<
zc>a6nlgEz*cI?>Ed0UBZyTksN?y(<n0t?~yzJ`>aZdaH+$<E#{Ab{Jv9j7cGsfOR3
zzI0~UzrTvUSASB09FF@kHob3l<gK6KDsm^=fBqlenZ81{fyhIr&YSxfvty==xye9}
zxf#WC=gzHIzw0k@^P_<!Hw7QAmu$1s$ernnyIs{SEpBFNYN{G8A$(kRqPEd}vh7Ju
zj?~QLFn{DsZFDEKW6mmf`dfI!#%`ZY0Y1LIzAs+9@R6VERpa1DHmeA`Ct<1gz@hm<
za+wHK!QS3}Afv^~hSp?WQYKo^+PBZPyVBoJG=JX>c7DD*mkD2%#mfq9N_e^Un3ek&
zh%{uY)w*;Uy7WG?DdbR6V9d{vYttG{1E*%Y<@p0;z8{I#O*MN`(t7H8Rseai!Bvx+
z0%dBxB{%1Yu**%Ie&9Nko!tG<^{}O-<*8Gr3RA1(^k3S_j25m5?rL}GPvA};KI6?B
zG9Yc)oF+m4dL`RwD7(9}(@!+u!xJT?NICb%85t6CwB*2|nCOQa$z9#JapRcmT?M&F
zwZ2$9>CDW`s!84Si*-_TJFTCGTZX3ci5)%FdH8s$rDHy%!?`<RjN?O0pz&OvHgCXw
zT*pmQQ`6ft!mdVnS~E^7UAq2}H(%Je=jZEO->vhf%{)dvy&ep3#b3YKW*f*wR&|Gm
zg?*2HaOEg<ZnDFZG5h|mko3f~-pkVm=U**m9~f!H>y4ge6V0uT5o3FFqG7bvw(8i-
z>^I4R3u8|G#-Yw*-@ZEH5Us$8@sDa;12T~=eKBWS**&M;MzmXhc&u3Jv1QAaX*|iw
z8NAM|3_s)9#}#Aer`7fK!y~bN-X(+O-FrgI686yg>f)q%Ci5oS_01y#*3RS)1`KoK
zaS!C&f33enB~%2vuU)#`smuSWzw-x0uA(fPE-CT1qXE)GKC+Xod;0qNq{L~~9%JEC
zp`O#B_vAf2sB?)~oxWKU_4=E_D~iQRc-F|n3R?yl<$J0MKPd6HeIE6kq;?ej{_`Od
z+CUR8%@7YhfOQ=0c@pT*=%`^|V&A%+U1sFKKynFR^6A%CwKBWe_PN>;+iuTuRZ=L#
zCgFpj4c2-%w%Kdf$bG$|@i;d2;x##q=;Qutj_-SfhrLi2t0`vHnw2$2YmwG<9>uc>
z)8>dzv$($`S8><5_jh#iT<jGTEK(~ZM#mx<GT*8q`HvktcDwAWKxmnwySsZXo?-Oe
zroh6`{PAZmVqz}X=6dtFY!jglq<on;E<LywtLGW7lPqv0+hDJ_c#%+2?&`?ta`PZL
z>)g@9JodHf5v(i)Gj&PDc*~|=-rW{6uY5o*`sGUY`Sa&}1S8#cFJtF>FfQ94pW1nA
zPo<AHzsJ6dmo9Y)%1<lr)J@r((qwTqwaIC$Lb5A0a?Ya0vp!yT6z?(3d0=|1yX1xX
zlc29WGZXz>nQadGI}NgS;rDCc53~~WI8)6ke97W9Sr0TOj}B3X9h|JfA6GZnm>vt;
zyFDx{%w)37F_2sli%6bWE;7(fj(<7N<pZw+H1+g0c1L=8e4h!?x9YtdiC<_uS5-EO
zw5{AfNMrOU$!~OQwNWY$mlWN&aU(um6efPDv(2%?pS&R&zIi&_8y(393mSZL--55r
zrehu5V=>--#tFp;`P{oRBi`~4W`CTBoF9)qwlOXyX1o09S6*jxv06!O^5O-f#oP_k
zYlfEdyS=RQ5Ds1B<1@Rz`$6!|f|vP4eq7cg(Vwp^Tlv0#K15BRReilO{UlIMs+T@p
z<(XgMu}LXFb!M)mU{0Uf9a3R7wq~p9kr}c_ENQ~O{bE#-xbwqL9Mew%q;_<)w&p6A
z48?oScJY_m2<_PM9R@H+BU?9UzQwx0J$$kX?k6a6zpYt#OT&A!)al^kQrkC-!4o)y
zyZdD;9CB>Syq?>E2lIOPc162@PWF{^HSKV!k{9BmAG+)a*{K_p`%ujE@F{KW%qFr2
zZjlQ+&kb68Qs0`c;Mun;F^|^#?(FUas}3vbVCNl;<GS5>@N$A!*M^G>)vaqf5aWUx
zVB41I9dSwd8`WedPAMqd2@Nf|#xB=5lzsQkokBIwnU7~Tc(qtj6QbC^>KXr>WU5V$
zh;VG*fM5{*)k%6d*LHVH8s0RC77p|dY-(lt8#YmkvHAT2FW+{4y2fs0OV@+z7=6n>
zzsq^<8vkrm>N9JtHv7LVp6a4@fqghQh(^54F+HIPu7WAWn)v~9dG5u_R}EZ_6iUnz
zxKQ;_R$41w=Ytg^$zvjp_lA#Y@h#<McRI~~F}uvmwt3;jvCmXOi(xYoJ!53=T`<1<
zdTHs#mxD2hi2-{m_ib{X^Om1|^wvEm_V<Qlq2uy%<Hy~Pv-Wa#OdYPtM<8n%XlQI)
zFWKQ{`+erOHOIHT8+D!N<D?GdTvAXVM)aYvQRjCXwixPAi%EwymgiN7@+<u%T*huT
zHS_Pa^H);`GxSyO@80qduX@$n`iX>y?dv&4jTsZh5zXdFc{IIldnI-?ZZQ)DZ&Ry+
zIhwL-?F)6@%3=f0!=|>jW6Rw6oWI<D+IFShMoBMGmi}HS$<C#~U-MmmBc~FNjY1~B
zse1{Zt3{2+r(c(wG^LzNpwY49+)Wk|0s@Bvcs586ygcM>Dk&jRe286kt?~4GZIkhy
z56N#=Nh@Hz5ZdC$Mw>4sZK2yuN|hOYFr2hZ9+t#&oG#n^N%(4@`+(_a^&xgegh4#;
z{7nC-zqQ*YxzU?y3M9xG7kJowyKi1xet(aCL{p9y_I9YT$A0HL2QyQpqeqW+ZsMOl
z@_mM%F{MPEliss9`RSKy`WIe#u|&i^*<|~zT)Eks*FmSYzMdIpwY8NH=}&2CZRHnU
z{EF;=rlcpfEo-mm1Q@1&JTA@YRvu7WTN^+2d#>wnUS^#~$J~%(Fzu;wa5L|o$f}ZK
zl5K1ATqgt6-1{_a2Gbjg*Qm*G_;HB_Jb(WDyp@$v_mgM%?%2NYp?~w7LCK~i#Wl}V
zy5PP7u*F>>yzHjGf3<-_EJ2Xn2y?e=b?k6Y2uPlfJU<CH`>}-Vq9792S_WG_ShOA+
z><BXu2`#7iJITM(hx3g$%9Dc6di?0o&v1f4fgvoXMM70*{gvWQn^<jmsj-hAKaT3M
zug~s&7@j6tF#COFhNw~QKHbR7w6wje<Yz}5N~lwveqC(FQ*YL7sJDtA%D47&E+8O5
ze=CbMho+WR@ozt_F)6;a;X`XH&scX=Abq$%UT!kGO7X&l3knJ(V#oncl`!Uq8CEYD
zGY2m!9kf(|t31{$E-r2;b8Se&=XWRDrrQ2{67<1L<L{Kb24hdzZ<P_$N*YXD=t89P
zxBKe4x=r77Jm>n2yHd(TREz@oWTp6=KK+VqE!hdj?`I*wjZgqE`CZJS@#UgO^=|vL
zp}}ui)|nafmAKpUkzS5$>L*XGmL5#gAkoUE#WIt`Jp=nX%~IM}rL-s_Lw%EAaA|yM
z?HdH$_83zjD*F(JMt~s6<e4{RXLt9<bI$g~B_*!;Zclsib@5jT??i)=wC&rs-%P^2
zmG<jfWpBCAJvM!B_qn6rXMjXZsHSsY1m%^R1s`1grToGEJpnS`->u($_6V^yW#!Uk
zk9zg3^U`CYt79u=(&C?N_#95pZ`(LTj6ceKQM>RdXJ_XJp7Ybm9Uk;8!?N^&RPJ%<
zo~Ua<4*LC%60PT!?_0?yljW!Bkc7>&^Fmdac%08&J45p%)8;e-@5!A0M3wqt_t7G*
zuEETX0H4W*AB-5kdh}m%HWWM-R{MEH<JYp#q&;*ujkCM&zle=JYLsM<o$}V*$bF)2
z6@Bek{$R``fk@R7EW_)phVv$mH^Y?MPt(oi#_m6LFB8tR+cBF13kjzAaBO<47AY65
zb8d2~wOcMU4HsDJ@9(b|Z}!p7j`yQk39sWVj!lOZ3hDjjiH5e5#oX4aGj>~FTJEQ&
z?YYEi>^V1KxIOcja8em|YRM{k=7WgV5aG}HgBSjG3ug83gItDo>d{vlf%v8-k~|}F
ztt_`+SATN22-rM4mrv5lfXW`1(-k0X(pMW(+8=UeIK-^OebS$VDFFe5sMW+2+k3sA
zS47Io=hM=Y?DZ|L=LcNad!gp(Q#`k}5>kd%x3P*+*AjkDH*eFl6$1Jq6V+iIK&7LM
z`3^?^FV8HcXL_Cl)0T1>ysTVYQ|}0CDgwam_<Rr1KZhA2Gk$RL`vhzCBWXe5%{5)0
zz4-$a{niomAkaBye?U84ha*syrsIZy9Ef#LQcwW6UcoQtb}jjRSy_W_$vAMkFM*zX
z?&BZ6Jh}uE|5g#sW&XgXSjtmR-lWjSeo><Ev8};3dp|}iDVNeSd*8Cl^8hXQa$9Bn
zjAJv8|K3(xyOwR;P9Gdn!lA^&ap=a1n~`$^=55Ttxe;zE@@QfOV%1Ls^(?Bv8Qda_
zWzx=d7T#1QzW!E{+gG8{Z{gO5MMC|2e7=4A=JfThc4ykh<9={i>t=b5@B94Q(>dfF
z#dt)%r2LtSSNJL_Dn`GTiIxyU**BQ>QA*ql=s};(M5Sqo@r_F@Du(juLs>vI(sh%F
zOuFWI)gb|LGd(1^>%uk*@bPIdautSe`8ec6o{0dYxAKofGk!jFqi~=pwJYk{Dqq}=
zPQIJ-1AsM~%KhDIsc8z25>1;=X=;+JC#*bou0AvWt_AheRW>Q{Vs#~6&bK#K`XM%o
z2?!80l0|F2)H1**67>*6#>Xj|H(s;#)cmiH4tW=w%hQ`SpNiOT`%Q{n#GqrM!I-~0
z!qLdP%c0wyn%+(#?ScOCPi^HpgoL`PJm+n1@yq9H%+YCs-0bqRm%aB`Cgt?SGM_L#
zpcf`!I@Fr|p}>=IyzYd>ro*><ma?rYBuPeI6~T`PMZFneIsH=4E1JwB^Ip4ha&p@A
zJo0w9$f&8Qahe@1F>QQ#hL<+iKAF!Y*?Rd9Fpsre#9%g{yL4^<+$n*}g?Q@bUK=*&
zznbAaBsZ>u>DsLbSIK8fgWxuocfMZEf2%3gyd>N@e?whe-RSK=x6P|$MqaJQ{^7au
z?q_wa`s}j3XWsm_@7q07;@-vFXU6Y|U(zbarnz|WB215i+*`4-V8mMF2r811XFgj3
zncHBm6}`F6*40ojZ!a@H)isK=t>o%bw#T`-GBhN2>*d^>Zt+S>6bJBfBTf#{m`_|P
zM;}-NP<1P_!$aD67^~Uz;-?Hm_R$jgc`*-qOGhyr7@wNVr~-lhBn<%ay>)2S{>=gM
z^Hb~ho<HIE;1>b{5e>Mj<meWySIUG*mQ_p=C=!qXJ@y9d|90=*J{uFb-{M%!IEjk`
zzqDsAcw6!NZgP>L4jfoiq)jp^dzs(-hs25g^-v?1?Yr-nZ}sG{t3FsHclUTxb0r~K
zPG9<W{0bp%@*5SIXMH(Z{y!!;{_zaX4j~5?{ou)VS5f3x$z_zB7hrJUVKxaoPEHm>
z8l~~YmvZC@&^K&|gM)B5j~+dG$I0@$795f~(jyLziHQj$i@pXN)tayub#?U*&)k>h
zhO0}2`(p>1gtFMFD=I49xtqtZw4Lay%YVqy6NEosx|QW3C&!j}iNqx)9`|^T6utQA
z?jy<X-@g|bzI2nMsQ+-5ik$O5Np$^BPH~r$>h(*hS?XwL!R(fA<@eVhA&Klv$ZYpb
zNl9tMHX!iUX5{s9CA<@==}zN(ndiqNHmb?b+3nQN*m+|W@5ad4FM?gjLISY0E9|zC
z3sNG2O938CxYU1u-?NkfRb*+El#t-xpGXzS007X+EcpIj$OZ`;JaNnEmg+}`OyA$x
z4sevMEM8w%rwFXR)t_ap8sUq8V-*U0IfWj_#Ke%LJd9k2_#Pi0pwNJvoE!n|B?t5-
zhT5d>muFZsrMxpsRZRS$C)Oy>MG>nWN*feo8Rm6t<(Q*S2D;Ol1QB1U+eAeJ0ksIu
z8}?+-#T<uP*Y7%gpcQ1)?b5ULO^#pR-?jN(DyRgr_;Jlv684^?r0iZNthW}B+?k}%
z#LL`6tle6-?bCI;H6x2o`~b3&Rq+*@Y{~N_xw2*}+X?6nkm`HUcp*9h099c3ebqa6
z?-qH>jX%m7NGW^#^yy|2#}U*TPj`^WhpQ0;P%0S7gImX)n0$Kmt4$H7wgNzCIr6i0
zqDBV4?I9^S<-B3wk4`Nby1E;#EoVoF0gIK8Dh%KbfWXDUu}1KC>*)@F<$d4ZZQ3Nz
z2|}^w+fgRFDrFt_gHw2Tc<_BHVyLcp%lEHkPq2Xm1b+OrA(Jsr#|z(6CG*i=lgYVS
zJV-I&s*b?6->H|j%_@KT8(#4!KVy_%T|*=FcqEcSfFUoI#gEg{(&}uMt=zblgM%bv
zlj~NH8-2;)V(?1Zx;=O5duRa<SYI$N3c2!oCiOdJv<9fd`P}2i$tH>lZa;Nqm<=Af
zi+dIbugKW2L=yCjsONN<M9BtO7dud+Q6IY(S?IohFE<sUi;eqjauMacTG{gXkUMua
zGwPRk`PY4CY{rXIUbX0{TAAl2t9U-Hk;8?{)cg%{oosSpbICBsEoz|#afI7#H;&E}
z7A`pR?Mk-9p$JflSwlJf%{=B+vXi$A9h#oKopJSbQ`qZzRZ#YboIu#Tvs&n#P$gw&
zXB)Pwi(*IE*tYq?=wBox2s><`j8i<${Lq^r@npak7xm~l#P3U1w2*#q7|56t;lQ;O
z0DSaIuv#$!aKZ5dRENXu&Gt_EA9wE(+1|7xL|DYfk-M)eYxyuapWSJCUs%?pMwg!<
zaW00{U5na7j;g4bzWe=W8{ps)K(?O<aZ3oPRdQ3Go&vPG3kY-~yja;j0IKwHl3!sp
ztd<fN8{7HVPvoL4{nf9FyAW1d8b2OM(DYwfB*Nl#{9X5$eqEK|whYy+!R5^rW~rqG
z;w-04@fNqNY0yeCvb?$MNb>h%Q$nBlct;ZNmY(grXBu$xQeyU2l7!nYYKNCVcHE9<
zlW1r#OgpcxpfCWqKFAjhiwEVHC6U>HEq&;1{TdeuiF8?^jb6e^a*-Xe9&!hh!GdgN
zu@(s(n^=AzG~M7vN^-KzwJk!wj-Q`yjr32ii<hjfw@#j+4TifNa_djX)EnFbI?l&u
z-zTrdInn!wd3lL6?pV~0m=|A0PY!gqh_Jk`x-~$S*68Cy5Q}7EW`4fhPyu5epF+Zs
zlZ|2tK2_Pz!7`k3uB?-=qM#)9ki2pdyTY_R*V(3YOK9Pxq`Y-_4Pq|iJu7MQLs?w{
z!KH=B&ATe4hgFMpQqC%?K9t!{$h)`R?18^7UT&3P%iJ(MN4A15_A@Meu7`sjfWsQ3
z#lZayyAQjHoqhK^+#fOxG3W1Jv@!<)tZjfo4{K`HZLQPQ*5(4>4BvY=Z0Dtmw=^Q1
z;~URWs()p<t2z3F!+R}tMdQUgckU1lepBb%k3S;8hp+QW>uaMrrVM<+<HWya+g=~1
zog`u&DBJn-rNzru_;6e2iaqq0>2(6(-v!ePgl#k;-)2&Yw>K#jvn=PS9x^E+a1!*H
zEb;KE=2Zbm(Itt8H!TV97c(tRn;8*jzB!XVjy+Bv->fjAWGI-8y!mzxHIeHk%S6X{
z!gpWGRKgvQ!(NL2V@o#Vod31K@b4)c{qrvVp>?=_zRrL9I#GOlRsR%FBQ`eH*Ra^^
zW2=tQz-mg*ZveF|7OBUQ%e)c}Zw*#%e)jBH{ye1zIE~#TqPe*leq1qrS>sw^hJRM_
z5&&9dW#v0}EM$Y9XFj)GdL$K}$481p7H1sA=Ni}cGipw}V(YzI_BAIr$;)w1Y*JDn
z696YS#h<^p)8R*o-7iR!k<N4d+3N_HRD_AEYiny0q#Z{pJ3xjD^cXPtZJ|XuvD!&S
zhV2b&RmkH0qYJnHG?;&DF#oAK_}^Y<-O#1UziI)<5C8Yd>VG@kKTkoD=YLGRf=4*;
zh-6+yPM@zk%};lC0TZi`^lN6kcMS>Jn*#O;5Juv-znFbrt<y|zv?*#AVs<^%Q{Zej
zfNi>bCnUt`Mk=`{N>45y$4DaR?BjCNUskqzf(hzGh1Xw+-+k}lTkAQ3w;sE==Y>0A
z#!zRv1sXngvPMO;NJTVnEh)Wk*LY5f9hni#EaX*j9|wyyh&uu#2)j>8G~<IUlBic8
zW7|$ZVpd;loJr+_{WcATjz!2rvR=;%X(!%N4&JH=5A)wiuVztn@gop(>#?v?zoq^)
z-O;(`7;c%tq^QNf+cY|~SUv&0kE{w+j^cN>H+2E#`ug~gB0q9}$wp7SA$((sA`ml~
z1DXRpynf&1(*{VY2p>Rj4k=9zX)IhsBk%_&>6GDo`e6l#3j*)rKK~bTD*ePb>bz7=
zS*U1WadEMa&w3fB%W<e9Fy=Wp2&HAGah<sY+(|%5Ew{CeoVN(HvtN#ji)(1gu<NbC
zCy<1Ov!CV$4TK627`;J0b2!}5*|Dn3Y<DbG0AT9zh6smq*(*ceqONqx$O!S_be#Ih
z@2`3MRJV5ZvwMkv;a8@{$6G{1iXF&Fn{{c|k(K*odGVreTw=}+0RiCG+?5$gFaZI%
zA8hnfCDvNucNP*YW<TY+O!VyoIp4z54O;uw=eORDIkYtWk0;cbK?p=h&&Oyr5`<3b
z>fTS1r?8q}Nwz!u_-ZS%@uBbevNPJ!V0T4Og3-ya(B*L*NG6=z*=ur_<emFP+p15N
z9mxE8g`N2xifT>GN4||s69eg-EMU0b;@Q8Olnu4$cR|2x*P*VmzLe6$9<uTLa1}44
zI(qIWTJ%Uo63JS?(P6P>`h!I;zy3LeQ5AXj^~#6Z+EdK<1R>1k=<^m9x7_56zxaA3
zHs9Hz<#P5_cvW{-*rmjqBy}Pt&t-7=V0gby{9JGr@-%A2XkULn@b#{&gs&R}1Q3Zk
zFB#MI!dv?L`bd$czkK`n4{>4eycd42>duUfR6Ah-QbPGvc!in!982{%!qWNrPKGKO
zKusgHrq;`@w=PaQbaK!}WpDgSM}E)QQNkXohV6}MTjB=F-QUN@vE4bk!umJAb;7V<
zL&vuCk)=$Nv{Mgcb<)2<CA9?8?_Wv>E3^EaJez(?FBk+_@vjmhR{dS%wZ7WgBgSG4
z>qXgFiVxRnG>>%e3{ny4-PMYZu1qrxltsoyNb8ju4Gj$?;QRSGIF|F;ojBviB(fTp
z$O?Qi<Q}RF6BoL%l6xH~7)WytCEB;zlqh1a-``_ij2iWQnI4nUpe-bk(MdHs2Et!v
z*(#n!!)WH>zWlIzns3CXh-e;k%_BHDhO6FLT356YvDA$f8&Y1=Mf0ajkV0kGxjQtS
z3(Z1${se-M;J)~{I6pv<V;eUe3lSGDj;WH-8rV(gdFAy!cIt!AAz#B~7UIOcc#?fZ
z%5{HDgDy`0o_?+@#QELEr#eYSc{vYcLpZZS9+!2G4SF29Bvi#GVWHFNK_4V;@}8`#
zLoV_|;wINiJ6PP>u*d9)*%IbEw^$`>vdmiV-fOm3A@5cgHRgilj5<;N>H0%c4YLuN
zkNASbEaUKhjXI6IzW+0+PV6TZYYh#JN8U@wHKRC}vO6tbvHquELA3x-`fFXzlOI#`
zwmH3OsjmKsFkdV9WcIB>8Jtk)P{jPg&or3RaoQtZlW<aj*l|8SP7nbRWkLY2L*vg@
zS)Xs{fZut<zMP!wW!(;^SJFht1JT872V>6o)_O2c%z{?;1KZ={y&nZh*|iALG=rYE
z3k;M!E8oar1tJ|I(xfVxG1XjXO>CfTQiS$HL1A{PL_PpD5FvQXBvMTqd}Ki`Mlq}v
zX0cWwl_G?%y{L?KB1ZXwV^dTp#07Y|N&*Ar+-C~6gc_`7;}RJdVv++CmpfMMP7SDr
zkit+gxL%XjSC@`P47&+tG?|4H84x+01GdAyPM=Mk;OlN#NKmuiGw=3DLdCj~j5Jj4
ziocWwlTyj(hd__L&J0pFBbP4lm@@(0$@iZ5?y3VS_=po^YTlrV@Hu#GS;E+>baEsx
ze7r&S?tJJ36!57|=z5x3w=l2r^o<#tQ>dshpZwHob`w&QRCDWGV}lR@G7c0cH>%I>
z1SODS5DK0~ZvFZlSQ`Tou1Lmgch|4W`5Fz*Eu89b=CWKkZ9)>Pm-lcR?{5&TL><Ek
zb?i+7Cgu0UMyI+0OFE1Ex_~nL^W8~w#GW&_Qo2P9Qo6GbtUc*1ZMs{@8$Yn)u6;=q
z5up*4kPS9=5wrlolZ1upH)gmzKowl<e07vV2_YtfY0!|h@cwZhdaoC^+jJEd!3G+f
zt#Q)<<TaC0Gx*x!+I_-A8+f(;2XdY2HEU%)xr3Sxra{e8G*uItzZStpDYSUz4Ojk&
z7b)Z*ipztm%X68_FOt1^tLnX<($mw!_tp~~%py&uaI|_1=b3{vXx)9)=hX}L_VQuS
zFYMb|nZIw8VU@ckDexF1(gmbFT=7f+D20F9)QWcO5e3*ER1}5VqaW0qVWd_{3H34p
zJ!hX(e`Q{OTnAe!`dD~K8jQAl6+IFvL1kAIbgzprcSBSOc7rQKa)N`PZ8P7_qqgP9
zl%KFJs7Mb4YGP;Meh<|QA@X|9Wx@cT&Y_r;{O3!A3hUEef7-&!9$9);uZ;;ly=a^=
zpW5K<f*nu?_MRhzuR}+^JKLX6?6r8+k!GUGd&%fv%uha@vu4n&|9o%K9<x(V-Fu&f
zIy5p+232eBD)tw$+s}MBSuLy=2_}e;ARYnrZW1yba#j67`V;=SZ637LNF;|S{m*uL
z&YM3fW75w($=J>HcxR#>qkdl|Alcw1HAG^S1m~2Hb7Vot(1n}xA+n-gM;M~gaC_dr
z+<HClH4l_30vOYgjGLnFy($1$u+1V=@oLQ&glMw?<L#id{jWD_K9V>AXVWoC%6Spu
z&JB`yFeenryRNc{^d#<P9_JEob^kTB9_5IxcGqD7GIStwBy~EF-$eC=xD^y%NBFI_
z#G$r#v(wWi+AK>y8fbD(r+6Ngj?-4!8Y*OU@WeLvO#fLUhTg!AlTY*)x2NL;nV_cV
z*9ORH%R}VB5^3iTp7roJlpN=E^}=j-iQat^&PCTVy7L#c`&V23QM9Yh`?uL$jFtX1
zNhmZyLqeUkVU*s%kaK>er!+s)P~f1gyzsO~GneENW|$Ne*NGT3^1fw8wV&F48bNWT
zs9?UofD{dbCTXDi8m$ZF9)m@w_GTW`co9~U_xT2Q&}B!!b$=p<Lr~Z0dCNSv#RTj8
z@99M2t4zmwa||&Zh+Qyt8LoJ&8R>}7I1!&yD6<-{j@Q?g3l4%L|An22_+H85>=C=p
z{8D2C@Bhe~xd%Q)!X6&l*Xt_N;hcB;`QxNMzEIA9RN!zfjN-Z+GgMJH)U|q8xI_%r
z6VrjJdFNKOhde|rXW;zxu9#W*J%UpK_8lhqfu$d*Fz>VHHm)=T#ucF9L9P|txNVhe
z=0`e;RlkHX&s)8T(`})cN0A7;TJ_1jFD9B*b~E#V5)cOIH`Ux8S07@Yt(x`U)mB;a
z6%Jhjcr*npBEW=$1InNNZ~JzV6C4Pvw`Afn>~YEb=?d#&c(=6I8R>~QNGI#^83hHm
zZt0GjDJc~}`<aXJ)F|_5%*vH3#T*72A^#JU8lVE7PYpR1aHGJpRn>>!bEQ94{di{l
zYgg3P1wRjwJS<Rt-s#SrG>;dcZZ{7Cu{kLHv1?CaT_6*cdwwi@9S6q~rNDrWd0Hl+
zxwi=mTc$JkTnBEaEnSe;N07LVXrj{GU|@SJe2-%TG+Np<^N{};^ju-S7MFM|exTgU
z`I>ex=0OfygD<3emU+kKk=6Q>mm?LRr-mr;snaDSB-UkZB%k(r7zYRfuN3Sc5kB|n
zfaT7*>e|{nX^w~+zl1VhLbWMuMt0=Y;$R2!5QFpkyBs0P{Z}U@E@}>vU%N)e^Kh%9
z%|z|;XJ5ng6xf0&01W4jJx)v<np>QnqVRUuW0IQnE$otj0FmAiqxthC6TsLL-4>vU
zu>QJ3-mCmcsgqdF_;lN_2N(40LsBZcTkRVRx#vzuFrOwtSJ!cc6cI4@J`e9Cy3s8v
zAtW}WRMI9In&*H6)`CtS4EO_P#KXi4`-zBHvfXLZajD*?5_D)U<mTrm3rZlRXg55^
ze8=NDZM&~ICXnq=1*b}M+FhhdO9BvTh6H9gpaSy(k5<Xt?6aP<AsN-g*mC|U{X9qW
zO~2h#xOP+Q#_1zVZY^8#X7viGJsZ~DR<}9etypcN%)?nRYiG8kiEq=cO)2ZwaV$Q(
zVbQ^*T#J6-II_ZT!y7M_YfDmY+l5&e8rpk$o_@coH!qHQg(@G}-P@gQIN563q3<3W
zOAimWWtmCiTj}J8SM3Yoeo4=VC$3#~%m<kJB~bVS^Sc98f2|9g`Ve}4A0Quu$oA7y
z*|y#5k{4_uKdy&m*k7`JeUn8-Sqa+$*p_;ZA5z;V63;`mVeg6b28LJy{RCTJ-dM!&
zE#hKBQ%Yju<8S%;8f7Q7@tx7veO|kTQq6*T5cJt9hRepe@0S~UDgoDx&0I6Olav^c
zsHU_iDicLnMSFQVZ_M<tPlV=p+9)*a{U@mDml}$R>}RS}&0{ra5nqT*va7r!K_jRm
z?e5#{;_t=v7hdoWwRLrOb5`_(LW__$AH{VJyC<fa-&5)0r8gF?M?+q$LTcmzbyNwE
zO;^3XwSPspWC_G2)Vo^4y(n7OBzzUBF*EH7I2lSgupE6P(8nB#Df9Ap5+A>lhFIj|
zgPN<lv9WQdZxnx1Zc{`t%gMilSJ0>h>hR9%@7}#@D3$Rvl9axPkl)8=s;SCj9TD1Z
zUkJKK?glZszCxqJ+5%HE?PX<#;v@HimgiP9v>~Z=RnZ~sFK8mT1K5!7?s`UAIcT*O
z)6@MfvW49#Jc&xrpUg}8?Jjd2pQ<R*k4XteRyn??DE8+zB>*`_%{_L+Y0Q#&K(p4k
zSLXBQTR{s)2TG$arVFJ{5r+jQ<gQg3dVU-5wY6IpH<8*X>gtyMai{)|t3KtyZNe_n
zo1Q~$LyAzuO)Xxv?=J+CGYg`W1CiR}UX$26+Z;lf7fgE<#zcny0eKnQBdJS|_MC}^
z5$$lu6oX58Jjs0Q-^~=+ovcA#;XM}(X)UxLjV!|tp@15}50MB2kec7;QAj@SA%r2g
z5WUu3_%d1^y=|B<GbW)6ks+E>_ER2MB$JW=UIIh_$z40>?f0Y|t$uFx_c;=@nP6=~
zv@peVBy&Na-u8uwID3A3yqv)C0OS_rin-+EM4`W9hl4E9$T{YZMU0~9q_8$dgDFqS
zoy;5dCuMl>a>;*$y5RS|ZJ&w2{7uaY0__~x9K(g6dLSAM0fC1uecSs7m^W+p%ZJ77
z5PUv+DGQmDLkpp+t`G9h^(Ynn;k~PNxV)mC|M2*YgMO-`;|@_#Q44gy%>DV-Ep98@
zVAGi`^XUynLKfPZnw(S~vMOG3WHYB-_{iD<v4wT!9F!OzI+GU`ECIhl-B`O(4qk+C
zmI)biP_h5Sn5|+MOwI3!oK{W#12d-j@{RC8?mEiO7-5IBr|fIz?}t|1B$8?y)a!{r
zr1QS{!<z(}*nj~ofno!#EO_zD<wkzp2MNj_ZCM8*>*fusrM9D%J3Bqr^)&dnFA))P
za1dj-CuwaISHgoX3A8^sDr^l#Ul{XN-L*cLj~veRNKL!W##Kxp2{eWm(%X>WbwN9G
zj%d=<4Gr7YJYya{uB#aNnyP`dA}tOGGaW^wnvA+^fcT|)1%<+q&u_abtUYX3Y~1@I
z`ZyCCRd-M5ylQDhjo!31%Z7BpwD033XFE_(z3H!jaLnc0vf&KN7L&P|2{4-r*;$^A
z9y!iSE}>*m`)1|NX!*Gdv-ARnD_CQ<Om}HRkex)s2w4Xa4RCVi{S99PK8<O~v<@Va
zO462K)smo}Sxk~)4i3`mMA#X@qf9gDv2{7SvOUo4%ckp>Cy4}r=%e4i*ORMbE-rYh
zzMBhxVCE_8mn48BIw>%XRJ&kCQ#C?L9R5+?LLQIyCS#$GFRBacY6QjX^+Bi;)1+)2
zqftm-m%%`%$=W|#5b0KWLxV({wFP-v5v{^HHp8kd$K(%;V2%yv4m}ZT3q)NJQV!U6
ziiynhI%=3$FJvE_8MfK2#%i_iPp*WT_xd36>wjgV=s?qI9C{bTR$)HN=P~v9&*tq4
zDG*l%k!{1m!5nV4@cgog|4+uTn5p$aWI`Tf8%Z~)ZD=U)c)Tv;ywlWYZ&PsJurClz
zqz~`U7QG7XepY!C^*%n0SvICbO=y+V`yAfpx&#qkx*>mRJEweuNUJ|eo@2tH9_+@)
zAJH%Mb7J<lu&LT;InMruq(GAVQwKb|^r%4XhN_Wrd4daKpPp1-xoeKmP?ZXj1|vcv
z>Ra04c}mE)`_RPX63dk7V5cgXjSQthpH);L*}+3H2ohoeQrE&8wU0lSEP`UE9(tF-
z(vQr08NUGkNaWGPhG2M5dxFVCBwi1_&MiLKoW|&dd(OlvgHT9K26t=X$kYeC;$G{%
zvK`=bZAS3s?GC6u;m@ohd=dH#l3(VbU(UpFA!#sPEBi@ytb7k!3nU4S$<&3cLDc2!
z%^N@s*y6Y@FVs&vXxo`*@!`uVZ6@pv|J1AHOzM`&ePF?huvfoMReQ^=C251NZ-&}_
z6cSAS!2W_TB3|)}r_jA+$VVNoQRzb6W3YPEs(gW{5mPjN%nX}e?dszja@l3aPb5<p
zn6ssL5glU>C)ZM$WlxIU>Ay+>`|4M;LpZ(G>IF34SuOMEnJ9Sp;&D&#b>^vN(yg8)
z0_XfRlJPV#G4Z9ma?sEN($-7yl6<Mae0zUiODp-vzmSHS>hS?)l@HKGMEzET(^t$1
zPt!6B4C8~yag>>~$4hewotH@)-n^jT>{<WUZ01y^*+`;(W}=Qg^Vn+THdZI^6&p^*
zOELf6v-z(F{$qM^$w~j^#{Zq%^#7<TW5-d$1Ie3}SBFbj`hql<Kq{2X+`;|z2}A~2
z0`_2H)kN}zkIzYqVwYn9-O!>nON?lM32o8!;z@w-_wV2N@|ix<tFm_w%W%*ZmCkTb
z=vINqGgt8zm=yUEWw_&o0=Mb!1VRvkK_sW=G2pw1ULNx$x7C?1YR8F4KQWO;+Pq>}
zUWk@cQsL^WPDV~RT9@P@4qD>DmG|3ikfk05AxHW~^CuFli;&iGL4|#jG;+zhaWYTI
z+kjINN?_IgFTcN;Ov?R!)Em&bQhE~_0nq}zAv)5-<?|?Fo1{qoR4388n~ZiAB|8i@
zlVXK>KXViG#CmuJr(>@Z*_4luhMKH><{U0P`kLKimw*7D+sJF91k$KNi4vZZ`_z_p
zK?9wPo0#oWO(x-_c&JcFnu9OdGwnYux@zZ#YE5nl3!IIpGnpY`4|b)G4`GPI-M@}a
zzeq~5w)NE2Wt7&^Kc+8w8Zl|nBWvxJ=R9{%^t;RABP$Cw*&7tFJ4sr%^Kf{sw9!AQ
zua68FZXP&6Z{<~E$i|%*^p1{;^4iAk_9Uut*F9HBao3Mgp+qePpfds4C}O{%S`>{y
zE;#G^RU6l?d?vEU%Yk$TMS0MqPfCOjeovm0W9^v!qKUS^=I72)s3W=NGFeZrfS$=c
zPC`43JXswQ-?ju9h-f!jU2<`PID#mu6NVsv9n{(wDKXcp$5OLXdG&BpwI33P&yLlb
zm5H*okn<qp^Te{>SIv!D-`T93<7R>9!LCCfCMy+ZnPKVb9`h^cb*)fyAD<T}kr0E!
ziOIY1Z_j`JD0!lq$4gczX!Bg(*pEjOrc<_on>6yQ4$rU{?a*O486`g-u=nz(S0el^
z!}2YpuEW6ryKXu6+{*S+ef&)yA9&+&J;RHK%fR3)%mrXt&S38(%dnB_ASV(Z^pk^v
zSl1$hwh<1da-ODV__w1-AsBTOEHSW^V@rW$O9s*4L4Jz1^q#tA=7G&M!;9N}eBkEA
z@CJycl=OmNv2bp*!IQ!aY0M?uIT8b5n*~VaS!ZsQl7aX!g+5ljDRg85&X8BIulH#%
zYakkiga}b=7{H6JBm*=iin-DT2%dvh*E)3W$zgwAq9v8pktH{ApnKxJm!yDRp0eIp
zN$}<i$rYrr<p#Hv4^hBDWy?dlKS)4+t`^Dn@%b@7va4e@kk3ZN&8WW8*U(sllAU?x
z%z6}+9>8)*KRs8>4swLoL(`T2C36eN$^T#RmH(ES{9hWt@XrVNuhH?4_xk^>cIT90
z3|o&H0>Gx=(mOe~j5O|lQ88RZ;YACSX5Z?lj%`Bpex}A@VtL-SnD|=;F@BUN!?{t%
zr$c9NENVA8g+0m1IoG|t$|`B6Jp^nAbai!6u*|AGcc9>uy837GIel%eKO8%%iGOnJ
zf|jj|Em|^!k;NZ1Je(9`-KyRP-JKVj=(#1Wb|N-d6YV|*Ab>7}uw~=M!eiC?tCJ+X
zP64ma4O!oT2=7JwK=WB;7HiS>-D9`QCL$R>)kY?A{$()N{Lrv+(AiMSB>5i2>0Is)
zl&8OS+?J{|Cq0RO=gbmv<UjZR-!%e8^G*(&FzuA}y!xrVBBJ&iPV8-IILF$uIOyqb
zcMsTD^3RUG)8swTx0@1W%z=&QnyWhC^UhkB94KHo6TexzkChVDk^H}pzyI&T*nhg_
zf8Xw=souAUwwVBX65*MY452N_m<^Ea@}x}%MP^ZZXR^;I)SpJ?iwLJgGz}0BIa#2C
zJ(=Kj)M*UtJ}83hF?_Q?qB@+rdBcZj0tnhh@v{rlAa0W6nv6jqU74n6qGDDjAMCe1
zYRJTkuSAyQaxjbaP{08WGgVKRR&o<ET>vI)1Gmv4aLjz9-ySq{NX{v8S6){=_(!%X
zuO?GG6ck8f0d+75NRZuQ<QfW~P+ZV1E|9O51hS#PLkLJv4_CgtTh~GcCjg;i0)kN-
zGX;;5B?ui%Gdea<hR5~VO~OfMvjRyqToXi?*QA}gljC)=CD++jVOG4*Qkglt0IVlk
zw=RkQK#FLjnw~(jB~2-q9+0DMnX|bi^KQ-(id57e^!3Tm56=fO-oLXJwdbUynO8?0
zRF}A1HK%%Eqs%@dA$tx=S{#~1mJNOOe6m(wB($FZ?N8`M;ou;o+Qsm1zgo#fT8n==
z7PPrO$rvym$QGTQo?DMKpgp#v<k&X*4U{y~1Lx}a7}KZ3retp?dDzC3QKERi*3l1}
zvCpf<Ooh8Y`BoShnzMq^te!voPIlh<j>(!4heL`*{c5i((T7tr`=gchW$;JoIZ0rh
zgEse`z22*-ZN$-?I~H{^ltnSP^ek)3TyMH6<7ISUZ_4Z8)Wo&!zEx{yQe>S~&2JR!
zzbHQwLk{d3`z^ox-cS}+Yt@F`n*{`nP?Xeav1p;qoLr1%*o4Y<f2KGPEo6(C5MDHX
zn(b*7dZ<`cGWPD>tAL9AO`%19@edRA3qluTetv!->0%_EUZjxaG`ID8+kKWF?$m=W
zL}OZtN(qf#x{HWGeSGZu>(gfrXF>M?J>ecR)ucKmtz7*Ow=)EK_PXbw9!4toS(0XK
z)WpWC5B+Ve$LU^@U`8Q^5)d$%pPi--c4S!Uw<0M7*vIsz@juy@wL&48QiYNOX^R{C
zRv{E0m;E0A_`AxjK?~G#48iz*^uzueIYSK{bfKTH>*pbjnH6T#y5%RNDy&m7oX5;0
zbr(mew4Pn*WpcqIINhIHGN*Lo(?&co^?|I`+U$_pFm%ASUVgjM2KoS|Jf%+C*q<nN
zP-em0fD6nj&1z<z>2PM5wdn3^Ts0NwTk(BO{#UfZs7E?y&$Wh)|Cv!@WRLt`4$BL;
zX&HoD%0YK>Rz&%&+o|&tDmvEi5hO9GKDhjDmH?&ZJhU66wH*6<o{q_3^w#d91{{<N
z_7&m{g~4ia8#p+O88Z!C$E;m6V0}5Uxw*MzC9F=a>WbH+xoZZ#h8hQuQUY8JWLAnO
zHV_+4aPW8tW!97oOH|oIOn7)>epEvvxN2=r^v;Ef-`_FBjW}mYO($uCM^`2X2U?<c
z+K5x0YQovL4Vd!7s>zI@!aB<DW@KDcX6{#ExHYGdPph>T-#NNfIp}GvB3TJawR6aV
zXzf232*>$MgmPLf1SJHbdnS_%;OR}uLWD_k7SRHd#&IUy1Dak14tu*T)X+@UpDCR}
zGq#BRe#+Cr%BsL`NMQ$1K4TIzWM&$v6RK|2c+C3i$)83RrI}z~jFO&w^ogaGbs^vO
z!~QISmI_I6Y+Rx*bkiY^6(}cnV3-qP!Di*7hOCtBDPv<@{`HB5+?N^>{Rz`fI{c=J
zCG$DXotytCG0wHf$ZH*lDxzOTMWGNwr8-HuBzMr#+7BKAlGtP@A)y%OGQn)Id3zLN
zdNeWogsT&C+x&eR7!FOS@yTHClkT%((g;WD7(9@RZb@9-BTUXuhOR)vB@Yrq(Et)n
zw0mkaY9lHUHw5)|5xo6Toh^9j{Nj;kgG$emF>R#dkElUgA$1}9lFjK6znC$9)KXIX
z@bQ7#dtfzDjSR#*SG^B*1H)QU&Ur=g1Ba!ZHh)288%-6FI$onGs6V}3sLF%xKywOF
zvr1UC>U8?zm(4WP`(ek(+S`Pd%y3*HpT;B{Qi9yUB*rmSicg*~T}4I>5QXYKxLT&7
z2%3q|990C<#$;2aofr~>R=5nfLChn=Zm13icuJU}7SO3=guv{l<?=p)51j-gEE<18
zkxC6BBU$hige1p;c0#D`dQ%AgbtZTi;tggeA5o5r?iA8iSLZOE?c^fO(IV%Z4~U{g
zIPEj<u#=M8Sa`=RQfPq)hsl`}={=e6<b)7viZ*Q08C{G=Q!xacP#p-JWgDL~N?2VO
z9wdBF{J?g+8L23+g~fsV{6xY?IG00*4jEuZABO6w6&7(B^T^MBW>2uet&RJNx_xG|
zfhO~CVgDYd23VE0fsG=wWMyp3Z%l7)m~~$?=Mx^!V)r`g;58GNDs;6Fd=d@>TO3d4
z_wBPKk}1-y%k2Cm#SEt}x0Q(gcT4=L9!uDZ$VSNB&$t3{Y>5Xe-ZKn4>{KzHIjNvv
z;4%GGSmZNh{1`b-54_$P6wD??&cJvmOeG7bC-MX&AU+dW-m`^ie^97nehxPoorQwR
z@b{z+5TD6Tqn%Tkp7czt8EB=)Ak<Gi!#!fcoQmWFv>PB&VO&vI5!>8vc%(Fx$%`?z
zfhagFGq|z4-Jo6>eilotNCMIkvf*X0w9J7I*umO;L0)`YKP^4~8WPF%sM=0;lIbPb
zO+^IMk;*)2BEXC(9!#LH!Al^MgIXij!DOG1>yIWeW|C~$>>G;UUU)e<JNbLcb}I*M
z2Azm&qVqKMzcWOV{O0d)l>cE~Q5}FDaMJTmW`@9@>-Jp{FsX`<p+dl-mGvAm9%A&}
zC+f#Oa(S*AXD=3^jPpXk9M!-JcX$2tXUwYTofwlxq2)UB|AQH7L4ORhGkTF|N-GS@
ziJKPRqI@zf-{quO<;Uvk6YB%fj=R&uUbuf?Dtheb1drplT=!AgC6pN<jN`11Bk_Q=
z0sO2(O5aGY6SOaFGyDCAB20fo*EOGf=x7J|7`<uH0mdm31ia?YK`;y4hYB*`Zvm&t
z7%7e8`=1rwO}9cPhpT~3ieP=3;OOjumfXXXsNr4LxF|j1K!i+zu7Chh%N7Cwz`??q
z>^!H7R~tiKoC|X}jDDsSic}xf<Yh4+P!u}gu0VM{GWX!9?ndO|JFvIBjBL>W4EKV$
znnUaNUpY$#Ey4S(;ou<SN~k5G`Wf+;7e69XGXU<e>j<E^#Vsj9<^UQFyJ#E0^O7n-
zTYxcqAz2Snx(qyaZ`Y&h?#d)gEE&FH;OZD|9g_$h5%~5Z(c*hzrlj4Uh|`&a7$d8O
zuUKHR6H^p6ncFQZ1`kK{xlA!7P-5D&L7KLPZA*rw9}(Fr$<KTsg*Qx0C?WNRDfq7S
zkUTOBUu5T9azW>iDMmMnp~#OCo<GDCr!%|A0!?``h8ab7wriNcfs&2A57SP%NNhr*
zutdK_DT$8o2}B`A`crsZdLA)@2F$8iCUH}h8g6nH!{q!h1+)nJC7(1LkXV2Oi_83>
zvl%$v^MTW%18ux?4nuy1v}Ie4xK;MokiS*pK%I~Wb0d;Y3}B1@IFTv-Q14<#U2=6@
za_imx!AjfKh|$KoV-DYBpGqh7o7^%4w*QfGKvbu|!+kY}vchKh=~6Y;K+ms2#>xT$
z8*rO7fR$$as6z{nk7A_HR>-?|x-p8AFfrnbCu7pnasT{XZKDh6?qf-0E)bPx64tVo
zCJP5TSU&+7!ppjRi0G!?*vsKZ%CIlLL6GJlh>AIN-H-Fa9LVs`liJ!1L*fO<@)C?b
z5>aKiRnCP>({@@$CTDZ^mFzFX0fu+Kh>usrsLGB<k;CL5hygO{^2r!UIBCzG?_;S@
zm#p%?j`GN6;NZ6T{b}a_9IngB(VMC=8lO{5<&|^f=7TpYLl=|iQ1Sr)JqQsbL*G-W
zSVOGj7xSvNi2lJo+txPbTRJ<ij&9#pm&`^<BX~DT8zgwr%Q@mTuMZNDvVZ_oN2?1k
z&``RygG_oOZ=|Ddo<t?$weYltFEaYcT%jpw>)ZS0;n)Nr{~0E_d>%4q&Y~kfugHNE
zZV-L!;zEd;&gRXJf@?#HdSXeiuH4sktBucEj(eI2;h@osuke5v$ZhH^e*o+?)3uVc
zBLR;-(3*tyVn2a6PSamQTL$B#NtU_~C5Fj+_j5V&<Y`F-^E22VhpAmXP)qt^XAMfI
z%=t_0ei$b7O{eEwwx4@mQEf|Ca${1z?1Vcv<z!Ork9#Q9lc*k@#fTpm2vP5$B!Tf3
zTxNyo&!$yhPL-ACVHSvR6N*$pRo%fB65(XfPpNeKXuvPwcwqBPj}TE~qefDwbLbx~
zU(xP!1T25#+0SpTmtqY=pwv2x?N^FwM=-LmH#^fyg9QaSZo6U5&++;M{ZNGN&EXYW
zfh|?qXX-Q8&A33DLOt~n`L$yV3Kz$ZlDJRKf$=hGWCX!VZi&qW5Qhd4sfA_br#4;8
z&FgqTs*D(_LQONwbs8116wUf{_3U7C`t?gQ1q^z@7cxz8APIBNB&^$8hsJb_j2@Op
zNN0|WwE^U$U|7;w48giCL6ni94<mV{9X6wt@5nq<*@Dgh9c)!9xI6~z1u5}4Z{81K
zKASti2ZmB=N_Gy*tR0Izg6ynj0jE4g(%Oj36K1|$7g;2-Q#MoA-kN8n=*-YK?}(Np
z7^Qw!%rjcs2DXU(j>(Ccsl#GL8v`TuTf3TOMjJJ>ZJ<&PlmTWP2-HVx_{=^D>C#XJ
zW4Zj)!7~h4PV+_iifdPa9=?zbn%sstW2}Q@_}*{^1ENSP$pe;&dswW&z@#AETt}aV
zAeO39J&N{%oFWGyt@v$e<VP*f!pN}XH}gbU;_7c{sG+bK{d^YbmSZpb(F13Zd<+j=
zDb*h@k<{<s?FLPR{y-e&pxobk;pC$>>{EwJ8n-@)hn8(2_P&~<6n!48CgCTS<hE^~
zE7xR?GN1+)xao7Yr}|MTe4V~!XxY~wXlY;p128np`i^#|i!ttw#lM(W8pihz4!Ei+
z*`1Yf_?A29-}cbS(9sbREa6npjMZHbWzS<<67$+O_34^pizjqr>oUlYQ^yxoWI8iZ
zV5DbRPmO%GX*}b-5V+c#u28>{LCI&{-bl|HCT3t!0QtKgWce9I4oLX?Ai+kZ3?p8o
z4c`XvO0!mV9bC@4mZSnwZA!Le;B02zpr!CoOOE{|GL{kW3794$Cm!;ro7n6!@826S
zCdQz8xiI#CY$8*blJHO*gqB3JnO}fRvnB6FB2n`ZaVoMy3=Dj%RQZ83Pn?$8WWmJH
zK1`7|Y0uGW2?38z3h8JR!nn)k+)-WF%a$S@Hp>WVbYiBCi>(Z;w%<j~y<?eI8c;Ju
z_98Zj&D=x-9%Q;ZlK;M{S*8RTq=xddxPX8NHp8j}(fye0B{4a?BFNRnzg{v7Qkyt>
z*zy9#R3M}AA{E5iaz3ZiXjM0)W_%PUUi_sjYUJx8$0|u2s(oY|fh})I+k+_k%ZYJ_
z6*ICOdWi_v%-Eaf%8@g4(xDh`*^&a?Q5L3|c9CWsf?LUyBEXe=hs5YyBzNdH9Qf|+
z8<SZ)kJo1~wE?Yi&Lnn|NilAy9h147pR>cH>@R+9#JJeZX6t|T{CjA3MjJK$@MAT{
zAw?X20U>hSOLvTqPH(nCf`E72Ezih4l&a-edD#-q8a+^OH34^Y_u{o&wC||Ywc<#s
zGP6>_r4-UUx?(brtvr7z3%q-rpK;jQxlCWLEfWv&hDN-d1O1}hHCMdkgbY`-2{oI^
zBe^H4a|lVh_!*5u&idaWSKC7dgp<i}%t<z+SA#a#0+rpm{4jY2R3<9j+cVlX(kl*S
zAd4qBYp^AgD}N(5H>L|E7j?%bj3g(F)&`jbT+gU%(`aZ>cdc<6h-sL3IFrAUazT(l
zv|1?CPBilEzw$*S^+T8^FG#2B4%&wHn$$T5N3Dx$z2^;Obv?&6R2S`2LtjZIy)nl5
zU0X;%ZCk`8Dn!?;j3PNpmrDbar{2{!jh-q`uCC8k*|6iev&`YOllChqb`K#u>k(tl
zxdN=;;TBo;)#1K>{cN0b))m5o;E7b!uS8b6`IiB@JXfl!bKCkI?z+XY!_Be+Kt-!1
zK`%YF!UNh18AzHyLm)+UsG=8}Iwqde14tzL+T4*hY$St%a0<t5PU^U|kIbVzKG7D6
zHp$$V?r8bpdKetwW`DNcTxsHq&iTYs4OGE^l7}vaiz%{)$fDmP)onv5k;tma=3@yt
zDNEiwOq}*SRM6=wB$f8uMy#@~y~-6c`UuVJ<3pywg{RIFSS3MsfiGig5pK&$5+>p>
zG_qhJfi%{WHi}yt#Ys!YdMq)ue7D>92PNq`$L2Kgd8Ggz-NuI~nOooa`1m0YTg60e
z=8>Zia4&5l|3<(>#w6cIjjm+rVN2PGoMjZ38*0XsC?!&>2eB>CIni`F+aR$`_cFZt
z_TLtB89AK^tkXizRO8V5W92kEFsq}uhkeXmznY<lLFyAIo-U`xkbdoC=u5R)JOJOe
zm)FWc72Z5RhJN~S3TdTfC86F%{Pdg2!M3bk|F9&(9NUVjkX%gB8AS$8)o_nKs8r&K
zZSeV<H&J-Vz=O&f>8rS0*|}G{ynnFVRaLCSG`YRSr4KeRzJeqto0!A+5TubOkoI10
zGke@&5k#aLIFgnJdm>A8eVPHk%9$aW{UwO>3b}rfc?RyEi!-ANttLbv(+U3|@|&`9
zP$4u7U8J`VgR}M!MfX=*ckHAc7W}s5VobCQHlDQ`GwL<TApSpy0xZD;2!RJ_^hC!z
zA)G?{g)r1OaBG|-<m@!e*()GG`ZOS4=sT6?IVS0;(J0q-YY&-wxU+Tr4&@+{k0R7d
zf(j@oY1K)%C$(pu%zk`BgF2Xy3CvlF#PJ6Ljy3}7ka=umz|r`TZS5MSpZ$I9^CFxB
z{Py$tO}E!;BweCJO)-OW)|Vg^)|Ti92R-jVIvEuIh6bc~sy57FBjB~_gMDb*L<g5~
z;mb2`F&b&D)szGz7kvAztz7_r@>NF0Ne@^%=3ryE5ox?95rVWZkl~%AJ2A7;9_mPD
z-tuOWFl(j=q}RuYeR|-toU{&byM*MEpu@n-P;)3Q!M_4P`uA}*@-G|^5(@Gv*dDi8
z8xD?0%#4lQQHe>TP*mc@5X~u?K3OM*P~Whr*ELrJg@y68sUPQtd-0-_z(AAj`k77w
z9br>2I1ppkSmi^>+)Sd`X8sEe7zC)8kSSR5hMTkBMS6^f%T{LHSYCplQ3K^b6=*(+
z;w0vLuB)$>#gs{hY-e@Xt;Zke=rBf!fG}CQ#TZI_s%(AD%8nWfl1TyXA|n_WwQa+A
z*6ZAg=|tvEw(hE>^T?=g;cjy4=17Di6SvXB*U+oCNdSwf@xvRvlkhR5yNC4F8}@ms
zHQXQdEZ$&VNXk#^rR;hb*24kn8-MKDwW{E)*J+E7KV0?qmk`)K@LN>GY2kG=EtBX^
zESuLKWIr7zIKq1M`hG8;yHP&=T<_MEu~IFPZ3O$4S7{vE6U<P}zu#H%%B|k1V8f)|
zl!ivP^m}ouE3y*P7MEu7mr;rj!C!B5batN3cfWjjS53aA=GT#tUCQ5Sw2=P({=??<
zbI#8DCnqPHT3X89ym=F?P@VKLJNrI5&L2cZnwy$#8g!7hH;itxGPkr8p7W4rXJ@}3
z7B-XA5z{YaZf>4UrIyXldxV69oNTbyOVG+`vpTM(Hun8{5IS=_rHnK+o7&ncPVahG
zS$X_<bhJi;y;Q{UfWW}9si}KKMMdmY();({e|`FQKR-V^YFnCKf~u<O*>mT%2nq^1
zdw5jN&dz!VGTQue=Ha2n#>ekq3WJ5UwK=93%rPP&A}VHPTwL;utgNiA*xA+g#CI97
zd44RM4!GhUZV-4(t|cr#iN$O5#f`4n_}%Ea_p!3J{@805G&`HsSYBSvrM84J;_eJ)
z0)L`TEMhi|9(c55K^64Nj|&xt>#G-fTUa$$dcXaw&CaY;yz0qan4ooH+pmA;$G0qq
pN!A|4ir~+-I}7a#|ML^fu<Z1>XXbfD>je3nvf^=t#9vNd{cpB1C)of1

literal 26146
zcmeIb2UwHowl*C5*gzCPsfq;^0TD!{&xj(TAc%lMKtTbiBE1BdaU6m)6$O#12#81%
z2qhs{fQWRE8X!t<A<{w#kZ(P~*?a!8zq9}Io&P)MI{$TTuWJT`H*a~~^{jQTd);dp
zcu`wp^9F$p7z}2!=2>+;3}%f72D8fir?v1CYQ*#J@MW#JmWDcfg+Ftrh<@;8{q3_?
zoG}>T0QBFAu)gt|7|bq=ruxtN9x<bx-cK*zEME7W7I%H@6L!s-gQs;Y4+yV6w)*rY
zMnL!NPmg^_NjJMwtHOWxI<!sBQCuhDS>!n_okQ!_jn{wJBF9TNPu~6H(H)-Eh3h|d
zFjf3+w^qN~BwIClJ;zcdejsYVbH<e6)#6xvRW{MAYcWHAe|W`e&dmj0dcau8`OaE+
zg*5s`?U(f)E6_Jv&%N7-zCO6P(iDC5|9$Is&Y^oB`}3n8?0UYMguY_d@B6w2eLZ{N
zKX8f<B3~=bmhSNK^J_RcIaNi;iqrb`#xca<^L1BTD%@A7sbjI&FJHc>tE<CpIv=YT
zV6BH=y6{>4<K?r~70?M(vG58wG;o`ak_@d6-N=J2|KyfEA8V&rEG^7A&Gki6bTx#x
zD|<78A3b_B*qEZ@GnFVBl2faqI7XVR@mQR0*%MxoYhCsF_3NiH7H4Aomgbzkzh9?u
z<;s<*;U)=fmAT%6Z+{4O)AMN#^(Vw*UG#oD*1~w0Uoalu-rkNrXL9@f8kyT)-yM*U
z2)fIqaDY5pCS7iuS=>B$B8Xo)G%b^?@CTQ$0G8+$qJo<*6<3|BczVp%;AP`b1TK*v
z$Y{6C3<=j(IOsJ!y#40Qn@*p02b2z|%oIMAwbK65+&nh%)c#4($ZVgq-$~YD9Q-hx
zVl!N%G+w$*=2pYY6H|4k5?{O!yB`$PQ^s#r)pjxt$82ls>2j`BCgw8Mi^n|ZbT1Fy
zd4Z{w(m39rC0*8JXePWzBQ$udlc;g}^l6{oJ)(h=wW_L?)z7vY6YOq{q~5rBG|CQJ
zR#v8a<x1PAO0>MaO_q*U-vrq{j3x*#K<&4ipMpx3rZb~fah=$;jYo2Rey-N9YxJqC
zW!0z05fSo=&830cWZ`q|Lq>^bLOwJ7;BCk{mMpp@`>~f4g=aoXWLCifoCg!oH#D@W
zQJ(3DWvULpN<1of+`+DX#<uP4%_xh|lgVw)R6q8jtaQo3ouKlndnQ<lX88V_tc8il
z61xcxs#)Ydt%w^;njia2*!03=?ZBu~y!Tk)Xo2X$*LB7u+UF+{Ijrrxyf+R>NVpGP
zGB%E$YpeBb?)Ch_e*Nmzr>dtiiETZEURIQLiePZD=VZSn1;<{T5gcudF`?zt$Gum<
z<DQk5^_aX?{p^_2?6&}lv19R*9GT3b;nzD9-Ry!aPpEu<x5{boc|iI6^oX$>Q`&E?
zayG?pKE<fWWk{Qa^;?{Fs#TsrW*_4_KQx{wx@euUXy)<l-U)hc<1^(YN8icl9Y?OI
z9X85JXd_ofNCxc*Js}nc$6B%om%U9WSQ&5T=!xD3r_5nhLL6#)Z!`OmWp@_22I29?
zX+E-i(xx3R7Dc=UpWCrIoNGfG8XAP>&&R7M*C>p<*<YJTz7Q>6)|ze6LuQTHUhkU=
zA7RPUX3(q5vfBE+|9$SQM)S%3Y95~K7E|vs9l!ZTxcOV~W;7IHLtPYvpFDYz?K3xl
zEYfF4%k2Kd#KeAz_e6zwPtiz5CAkY;QO`I<G;Fh=ygGbhczD<-*IL)7UpBsi={b^~
z-~Hv1j=k<rvrU=4$K)Nmggypvhuz!AU*2CGy(d<i5+P~a-DVXZvb4yuVwv8l*ymJ#
zn!oIlj`DW+Gu|W0K4Fk)D(vd&s%vP-kF3atnG;{lj6d#ZO8Wj`;{_4#p@t+G^HTii
z9WJ!py&1*F4c-{><mKf(1aHuod_l&si*#b)`^Ows$WGb)U2uS9ZMx(goUnUSZ$)@w
zQIP_d%IsH<;nWoK#rbLY5O@aUbP~f<6s#zR4j&G#lrB+X&5sco4sP-1_iux9R+7n6
z4O;H)?2n>Lx0S#MvTsy8YJGcC3k>^JdV0uAm$!7B&qT$Jqc_eH829*1ci1++xm6Z5
zDnfUn^|O4DX)!N)#;SH`;=bP%t@8bSKFn{yBD(x_Mn=ulP@}kF*Fz1F!p5*?G$)Gi
zW|a?%rQ3Am+B28*Fgy<n;nF#k(sqtbuP-b5$dSxSe52rkne|IUE(*@=w^DAhe8-&Q
zZQs(qfBTrTsIoL3#+d4W7jv|S5?0GpWiL!dk4A4SB!#A5d9hpUXiA)yO)~tsKygSd
zVJ|Y;diePHtzM_4!SnS+n$<9AR`IxJB)|TusPHI7cZYClerj4;<@uNsGK&5A<mvSN
ztbXUfKbS?1&YmSGzz7HIBza~z^_1JOzTV|_Xf%R7VDiSaSb^o${N{?TfkE>Pc91mr
zgtqeZm(dYN+=y|tNTMT+>;&d==Fk%x7Z$uF;ej}Bhr2T(p1ltT+j6WD7cZsi`>?3A
z8giTp&MR@z6gHQ~SmA(}*o#-M4#atM2gb%3|NQgM3%%m16;i8iGm2;Wr=FWoEBjpS
zLSDRh;Q{VFQ7cl4*ypiM=(d_0;T9NGRlKTS$|9qnC)ADwe#vfP>EyTHw{^qcZSSz;
z*Q{AHephs17i*qHWBY1p(bC&T$kj882n~!zttNTi{;*#B232+TJ$HMq!EmiFGsljV
z6TfITMW^Ps;WA2==Iy-S|F$Ok`o}+Fne1W1l6E`%39qR^JEBIIh*OmeWi;1s(ccE#
zi>|RT@l<^L(o{+tbGxC*L+mOytIwZ5cfSad`b=J0WcblWRnnhSj<gE!n|fRiB8wMJ
zO=tQkQ^|Av(b1!ZmoIO3?{qa}PG7N#eG=Z|PH#WP1!jrIdkn<7zj*!nka$nOo_A;d
z9GM39?ynr~f1EpmJU?v5k}#V)C*)H1vy6RvuE$VP<g?Aj`T6$A*VIc>R2PT%=+3Rz
z1CDugc6@C7W3yoM=u_5cjt)T?_M4@Zg@bBhc5<?1fQoZ}RRv+BR>47gG0%!$^6HoF
zMYqdRnHIJ&E)AM=-(Y&IQ~Ay|=4e}v1-(5lgvkPDupO44heyU|_Is;44Hqp;gu6sr
zX7;loc`J%hxS7u5=gysbQBY9uzD3ZH^sqCfxaEpN2-w*qj$>!u`&T%MaAKHvywA}?
zhYpE}bypv!1!wv#j*MrA;SLwMGenS6K*rWz6H6VeYPLTbb)Lj*w{2^oTFT3(BqZ!o
znR?EB(+uq1k9Lb4QKfeHz$_*GONvfBUsHVycq&V(c+Blz^!4@CA!0s$^5isNgvXB`
z-zXVg=f6!{yK1bZqcHDuMuvqgy@b7VQZ(meUtiy5kw-IwiDB~Xj6Vb&J`u!q;z*4$
zvQg(dJO^Uy(~a{_%=L!%G#fjH%uNnZUSCdo0dB~~#zw%W$q<X}{3GX<DBbmMj^g~v
zE~TBamgnDG$=NUBJNpd<4}sM$N1D@vh+{<(XF>$F7kkfyQbfGp)XNaqc(;}etg+8R
z@l2N@wTt9Asm+o<E|{ObC>XAtk|V3Ohp^T&`nY3gb@XxMe$655=wh+4i?2m7$&Ev!
zzVyPij_MBZJlpyC2V6)I&*X0D5tLnrzX%gDujU;hsyJT1emw>@oT4yeI4v`@)^BOj
z`-TxQt(`@#9{Bt2(AU%33LYoyN{;2}3l}aN#umwm_$`c|V2~zXWMv%@6O*@V-4Z|l
zC8fKB%_?zk^<(YID@-7ekJ&cgpu!raE8S&=2R-m`zcu1|{@I=|rK2oN@t+~@8tW9d
z@?(25pYbwXJ-vorBM7}_-JFmla`MiNsyJoEF0YYv4~XcA85vRyLoPRtMvb<7eSg>4
z=Zs`aM^QephfKFy4usAtyOh<zcZ|Xdbb>%o4ofEpfzPS&!ttB=W^Qdavwaum*Ro#f
zrLNVIB*C7OR4`D8b;!#7xMH19UHP!H^pkVPj3j2KTg)7{Oyo_aEv@Qv3urc>ygYc|
z06r5(2YUl6cPGSF+%Rv?z17xYHv56!O`#dQevcjNO-{}ILg#_<gDEjvSFPQIzkmP!
zfddCxcgtbPKAy%p&vhj|t*<!CesG_`QFo3Vhb??<U^U766}Yv6g^9|ZPkX|u$TQtR
z(qnauR*SG|LiAN`S8uB7yHtQ&>2KcRV!>0jF~Jljj5J5`rWE#HSakI$VRbSrTgq{L
zPYk<b-Ma$u>9(sK*=i;9rjm?saUBP@wWCF@BLY<_jzRi|wkIVewY4CG<`&;#=2zUN
zGDmV$9Ok@jxeM=z0g5QZ(l4hO(6bh0<LAy3VE?-3A6O`wA5P1mg9ki4GuBBpy2(QC
z|1G^DTwLSw<;x;zx1#$qEE-1hX}&Ucty%ciqMA{{F?Wtjj*nPPn6`=}+_><K>Of3C
z)+e93<T?i-x6Y0|pA#PaR=gu$n9d2N&-Q=qtOhXO{W>kfMt6(xl`A_-0E@rP6f{0}
zy%f(=PjqLDj$~U<#-^@c=2rTyh7b~~$hVc4vJ+zTrkzLkiishl!Jd$2H*^OiOM<m7
z^{6f-cG^@<yPkgm_iIH3<8#)(e7Owk-uVQ_sFJO<a|@pT`Nm?Bh`=PIK1Y`(RoOY)
zpUA`h)UG6C7IfcV%YByGg{&z|b;%>gf<VEIEZ?u#*Xp|?8APf1siAG#_MgW?5I$s(
zVX_l&3s1JIa2>#@Qsl>G2Q^d$&`!tW0om<Pa2e#X0AzH`h%!|;5ElfSKn}sh(Nis8
z;)k!i-78fz_+qVSx~ROJ(OrLAo$zx><`B4bFJ?{4<G{3E09tTj(eo*f_Gt;MZfk04
z%C>8J`}Cx<CGyoW*WURTu$NfWJhF)?Wv>Ewshk!|aNH<7*r|DS2a3zj1_UIZe|ls$
zl{{W9*n{E+X^}}qxJm3qa`JvY$*a8lCbxeM2Cy|SaJ%`6)lF(9Y2qAm7~}IJnO3!l
zaFnSxJ#V(kN@W{5G^pGzlSRm(If7xU^%V6I{cA?Q1&D?Qi24?s#)$#~SUYmB*&UEg
z8Q>8S^cK|BNpN);h^4WiEtzH|aB}fyi$CGWn|B=9#dp|f3phhNNHt5rg1aH}3DJ@+
zmZK%z>>CE#zjf;tO8DBM@@WhG$8)F|@S^xaI2#}QL(daK(?C2Pu>LWJ;_2r7EWd9X
z&G3*PltDVz{>Nwb^}2+g$03!F7kph4tC;`(?#6s~s(pUh%}8wXXaU`m=GM&G43A<R
zvy();qN%C5Fr?#mAK*~lE59%i<?hs!I2*TQ`i0}2yxgh_w}YBxVvk(^<*+H~1f+pY
zF9as+TeGgCx57y>W(oo3T73I(k8W_u8%udP*Uev2@X;GGG#Q&OulVR@Mn*eol_t+`
z5>YB>Bh%(;+`E}n$1rdW*bHYY07!9`nHHX&o(L^FEzJ$&dvus|<#U`!!a++&0ImlJ
z^M$F*TO)vGSsN#;qcpA#`N*y=UltwZwcNPDQwXb+q9kIrCoD_~d(|zfJWNzHCEnMo
z>e(>~%bJ*-kU|6{X+@raD{T^#Ka64$1jpcCSFIyV?(FYEfG$j#Y4pY@Tg-Pn$gEVh
zR%u(UD%<C<G2t+{yY9ME+#%0T1(ZWpZ4Rj!iji)asl^!<kA$2`dFt~WX$Z=^WnjIA
zl8C$?z$9gtz6Yq5X8KO26)?ywbIAL%&CBj1thh;3MJZHuY4*fq6|f>DzI3Mzy88OO
z=pjk7-9b*^m?(`ps=|)sIZKz3W=V9j=vk0e1Bx&QfKQZjlVTWiqC?$NM5^=>e}Y$v
z!MMfl6X1OF&q$O=?Qf82hv*+_>d&+YQ<kTtG>FC0eGoQQkodPu%AqF}H;&FpaR?ZH
ztkv587OrNQ?$M9*;jfFbYtKDsV{1E!U0Zh!CH}BfJUrl=edAVGKLO7Vp_qpUrC-1h
zR5+i;?7a*dh?kG=jJi5-7Lf5M8LrMX08|7NNxqHQ3WkHev9aK>W5?#CR#_)?cXtmq
z+#JcQ{`~ozYAq)B9K=~BLvw%l_{?g50|^O<%B2gbkTMk&6>-i3`z38APaS1Q|K*I;
z{{_<P-<$$DFB8a)f>haawb{47eVBz5c1LBTH0+w9(x2A}^CD>56RIc$q>Z~mIk+ct
z2m#~3Ur^ffY%P#$3Dofs3soE|IB@uI#|10S1?rBbBEH0(r|>r9NaZLn?9VsU*DrO4
zAl?e;nLsDmy8cDM#AgXesu@}Ka318c4;(yr>r%)_OJ>-!XV2tAR`lxpz_9A2<spKJ
z0J&?ouXvyiiB5f*VJ05`Dm685dZcBbPz>|vwQ;^fTZNr%OUB>c4dBYe+}zyDEVrlr
zGrz7A!J8I)mGNi@@jz1T&bxj4X&^cf%p=bfGs?Qlf)aJ&RX79)Bz0K~xMEL?b4?(;
z=^d)RK4`ZAzBljt{6q%8rP13PnnKQ1GBTbMz4A>5zTUgB?fc3H8-eb-bNbyzVGZMz
zU0gY989*-e0HYAHI73r~CEWAm-04UuZ1*bBSv3<#fpjlk+yYM$db2Wup2YwT5`n)n
z!8>>cVw|;so`Ur9J{iX<2cRZ;@7}%aYwv$E%CosFQnLx!TY{4?;D{(h8PZDp)YV~U
zq`oIW%8y)^x;otP^#ELDWo6IfOWF`30K4ZqC!r5wBwG%y?1D8Ot?FE{YOP!=!J)Hg
zl=3G3-aD!yP+O3g0104CImF>#-7cVg7YCWh8<WDLV*pxTfyMYOw)lkryRsGsN%A%x
z9^Cv?;D-+%&QOLRz%9o+y73Wov3F8~w^uMAfOjLl6>#m@ltuszmSe|D=Bj~m_{6n%
z9H2E1`zI&C9QyNf5aeO|w%piag2f7}&ew-M6B+<MAs7~dFs1LWd_Gc&J^SQ}iAhH<
zP{yrM^V|!P06(v<T#3omUu26PgiYGNOKpOeH`n+1Jud$5XG*zrLQG)Y4qweZz@<2v
zHQKl@KNV~TpFT1rpR^=h<)YAe<JF~0m$sp_G`t7lE0mC0jxY{1M4h*LlUn1x^MUNK
zC>QnV=6zVP?L64kB$rL8XHVzTmsC~~HLhQO?$7TZb3jtE+I_v6pk3tw<HV0^NTRdv
z)*(2<lYMLuVdD+})#Jc1lmoLXnBVDUeAnNN8cebu`7WRAd#xivt~lq4A$GfkmFgqL
zQH*tY*Udhe#a<_HOppZ|z$!Z8zzR612ViQ?eTfWwSr9)3osA;wZbHxj%(_Pmq2pV3
zVjv&Kw+gIfjP7aMw{IV^+5Pzpz^&O3+Of(ZrCudPLv=#_${PE_hxGm8chU4x^<5wn
z7b9rzZ6$d+$4RW*l?o?$yR8M-(Hntl&t}mLg<H1^D}3$T|KwcRP)fW=e#adx67V~l
zS9Wz3duynd5*cJ_?|hMjVMZ|C+RgJGaw8BUpLLKSBZ;ly9kYHdS&Mn_Q`Gt7ON+SQ
zeA3u~SuP6n0d9YTw33cq!ob=U6_C4r8OAAAd#$>#C}98)<n8*oiM~ofdJZ@!JpRP|
zU?Mf;1hOnx6W$e$;At`{Sr5Z}UcM)Q|F?>90#~mD_+D`o0c!+h)zyW(N3-cB2hpe0
zDqZpZz&YfNzgxv!N_8v|Zfas1@g)Gxi#U8`Ym15V1%%dguU-`Z@7Hmit>Zfp{t$ra
zSVtjxdzKWVVlUV8QAhVd7_u0wdyc|=r<*o9H>O$>80qumAnUZIG(*bVKzvD~3Ze#M
z89w4`H|?k!WEz@!?n^!&)i6i^v{4>%ylV&KD)z6Pfz8vsbg3~}=Ftu81=pCFg+_Sq
z{+3fx2SbPf!tsow35}3tAs=?Sw0Zq{@RGHh=$7x$`L<F!150ccAU(JS+`YXkvvs$~
z+h*VdfEiNkhMNfEH}jF{@|moD_2x}5O0*G&xI@LqLkKrj-zKglZ~6V}dnX!hrVQ9T
z3*dmp0RfdI{CpRI8w6X=h>{VFgn6JNY`)e}@9F!E@8UjfGHorc`nqP9Vb#}rp^1{R
z9*U&`%Y~TOhyPzHGyf(?{b!0h|2oA#DLkPU`F~a```2>*cPwYqKH3_W{eWL}FV=Y;
zoj%_b;S-5b+sMnyt6m$Y41m|=9Ja`1d~%&yT2t)~z+w@UbN+;LDUIn}hVO`i5H}H`
zAy>BAbMWy>jO2rg8z{-8-Be2f2gaeX78X|2$pfrvD>;aY4iz^hOnB<9+DGvo`q~)+
zl!QW)-#f?G5b)Mxa@C-&FhlcGMW07d1>y(<?v?)Ws+g;32ygkjLn0MxqqoyV4mqA_
za;#M`$GZHv&it1YZU1G6|AmIQFSM=kPc6WIs-*s}xATAD?O-RcY8h{g^QBCE=lW*p
zj(&nbSjVGEL_N^vJCr<bBkBv4aS7JJLyajEsECWAwCCr$Ys<t{#sg1`74*PXzkNK0
zBZgRpJ0Jhp>{N4dVD$SEKr}%e)kPPj#i>TbVLnyzyc7O2{l)2^Zm1~*yC}rs7>Euq
zG{YT3g?6A9f*{3kQ(T93wm-IM_sTASS*S3on|P)SC5g&jQ~2M0`|VXmMrfp|*FlG(
zp=6_i+t-z#;P1q2vtneiA(^t6=&e9C&V|`=nd={Zhg>i4iG*SKm()u=kRaN2+^LjA
z$&^xzFuIOfj{<-Rpxq38=(c7-h>&G;6(<4_4=@$#8KqDx>;d-lJ{}*>UKoIcA^+o&
ztW`}gO4nq})gf~`i4a_>{-Jp$T@W~69B=^TzpdG54s}Q(>kGOF=Ghl`nEqut6=0iP
zM?v=gK>{^DGVD+iItGpy)vUzC=4TkR!6gl0SAEETfWM;a??xASmodV-f&uF*W^U_m
z4CTaY)Mv+Rp%4h^<^>i1bfA2AcmQxZ=2|>K$76`er<88kqmpJ%a<l_HVWkw&E`Tm5
zZ->YG{az5##<#%`3f|!B!+*XF%ty!VkDD)qP6BPGu$D`xwYxn$Bf01hZ6Bs?B|LtS
z8~qsqk7twg+T0*fLC!nfS4G#<R3z&B{;(#DJ%pQi&jP^p7g8EIxh=Tz7$|{_Kj+3-
z2dDrw!js+8uz9+PeGk+J(VIMM0rx^$b0O3j3hNp`uV_{3kRItz;xL~|fJI7OQh6Wu
zG9lqzttjSXc8<xa)=7I#MkG}a0jV236K!$K9Tn3GV3`EzElHKl!QNB_QV6Ql5~z=o
zIebd5UO>$IX!t~gu|puR2J%qT<1;jII(;|nLsJWEhUJ3cGoj44Z;y%*{&;_(x+??^
zNmvLZ`1uud))>+8jadnKUrOC>yDarpYGT0tXiv|qpGb#78dTLX@vZagvp{js$6*ji
zBqiYX#Kg>d%0o7b9Od4tWvtTF^lfFA{kJhh0G<lq3ISrB;nHjmwg`z<r#sF54z3f-
z_>6if5DW#47W`mjKn8d9GJ%-Lzg6Vg0K%Al;%dy*SF+0q4=p+Bd^xO4x`AJHCkS)a
z#;dJ;lq6aC#^u%Y+Tj4A=;EM;#plNd6=R(QdFm52!VXADh2rsjm66BWt$<kN;c=R(
z*BBsNL#E;{KX?RXK!MSY<dbop{ZS{n@q4<T*=F35?+9s~zZNB1b7GH}7%IaF6ATRu
z%6r08MR<4+-Ruy=LG;#lxp=-iY;+%}j^@9+jyu%Rr$<n7gM0oQ6sC8A`9L93kXvQ;
z8j@J3mku|jp?ib+uOM0tl#;h_k}AyTTm9sv-z3-PxePTF^ghxOGam`=h)pl_MqIQ1
zidAkNY{XO_yp$|gRQvANRXt$vc8%r~o><4tU9QKPoVq4;28f$5&+3UU<;FzZe8`pl
z+KKR<kl2XFxTS>o;M5P)aZ?<a9ox;OXR{#dAt-o{KH$DWZIjMTo)~?9cO3;PIs71@
z3R|<0uM`Y{|L)q&_hl@~O9$%{-EW;)rX<Gdc3Xbme{UxVGa3llOK0UKAa2SwnGT+4
zKYBO+)SLGl#aZ3X|5^#!e`CDtQ~H_?VvXqs$Z9ZhVgoB2<5h6x@GcQ`Z^Df#02npp
zliVKpc5PcPrD!9G3k5V;TM$(aL1E-0Is)V31&4sfX=2$b&DirTP908^GLY*C0=eJ~
z0cCef0B8FS=H3zct{p8eDeus+14^cBK?p)n7($70QlzOsC(%7@vPMxF6<16|`Ow)D
z8Y?{C3G(Qgm<S<;8#&Q&C_9&323CZ_>mp4Ohr&5An)MM%3$ynE-f~E)Ts`7y(ljck
zWE3;ojY@oRN>B|#N*izz^t=}HjshnXKMVSw*#hsrosLDaNsL-R!`KRjJizKeWFk;<
zM9QUch`Nf%KOl{a3EW;b&6icCDIUvPtHQGT($qxHc#A%b*=n1=hBOVTJ71ZbpC22M
zJe+)HKZ@3n*}(ag;d%DFu&Rv%VpER$CTB%j13N{&TON%<%7t!JMFmpin8(+4bR<|h
zS|_xiiSQ}J`ZLD1a-MDLb+`&Dsxkc7EY7V^RG8UFAp$ilcSe^J+G2=~h3fhE5{p4W
z#2OwCG~0M#ElvumB*nzf9GT_WV7JX4jYBR<AgYmZ=qNzt2Op?!1iN>6ii?Sz2@?@U
z#hEuyH{XBZ87Hpe@o(S0<*XV=^V*z1KjWBZ6~%e_z%NP4Yq2?&7m$c05S0gk3Jk}U
z<mSqenR%IIAo3FeR)adUBPHg}Il>}Td<hyqJ{mFU?>^d^EdyGNwG3f!PfqZXI2C2c
zO(X?Ud`rOQ8U;Adukc&UIufe$5Ek!A`|Ku9B}td<4iIX1ovi}2^}y@H=x+SE#0OR|
zz|kP@7dYNSL5jiX^7;4Nz7G;#bM99m4$cEyv>DK_eO^YKpAjxS7+G<T$oZbAQDgP}
zjJm#ofh8461t&*1PT-wtug_Y>+nbdyAU=EsHWg%R_5}96NRvl&_Dl&|xrHP3#JCv2
z&akR_`jAuQuV$8f{cYo0IsmkRA|Z5oe=Z5QLGZtE_S`#<zHD29dZ7ma^d6%oksRx&
zyAGRl5riG__V7}R+m;aeAuI-{F6{p6CBXNw!rpIuCaMBO{31^I1)~@V%NdVjRuIx&
zzkWtHyL2hserB+K&tE?W^`t>N@A2-kY9^aXTZ*uUTE1wl>q*X|3mep|>H=c$CKY6L
z_Bo3w+Of~<!-N&(|9Xbn6FtEwy5jK~BA$B@Ykqov_^n(9x8LkXRE7m>1Z~q2owg+T
z*N-6v+Desmg*p9FGu#}Ch2xF!OLD#-jw)yP&Jd9u_kj2$G)SuG02OLuV?n@1_x-tO
zX<FW!=2LZWhn7Z4mL$--KdoL0<xyU!*V(;gyOSqlPk_pYn#lX-BFlQ@&&~L;XJ&zJ
zZn$=#iyk6)Tng#0pl&MBp2nfh{khVxmfsy@t?LpzAevf$s08^zqipljKu`}-^Bp&V
zD<K-7<;^AT3rhUD#IAAQ{y;W*<AxVUp8zI1kHxa8yYF@$cK#Y5=FH@u#GWzFwS7lK
z<yxdra;p1z9X<3T81TE$*J*nUNU@AVyQ~`Kq%iH8uQeE-dWrbe<6(-N)&ED`avoKH
z1d1aW_puJ7z+D(~FR4_ymVOe+M%vT%E<b7#c4Zghe?iYEDq--(I_w)~yWrh^@&FEA
zl)X^P76N7KXR>?mLydA!=<S3AzEFi@jcO@RCjDoi^jiA|ah-_AHKmyjXT)Qgh;mRt
zLSyCJsph2tza??1FMRs<<sCxb3nmPek{mh&+5s<6o5P<aGq4>bh@=8JT__^Lxj8nn
zNPzlnOo0B*%1WFg+0yWFv~lcJ!8!jw4t?jpVjQ#}@NQ4@V|l>}95T2$Pot*pQZelh
zkB5gGpv<)e%YP~Pd>~TuIsi+%L)pv4h0&#~m-<C}h5=8Vp~VTRgAX9~a0#6_0xG4q
znJA=%@4sL(z66N3Wgq9fE@w}gz2JQ3-??W%)&q%gO}LT38>6-dKI}VcAzJxoxcsn{
z6CeLhn!SpVuCIFv>^P!=IT~>e{!`>y#tqN&jNc*PTCX7*f&kSx2#?0H?4yyrqp~j^
zKg-N75ylpcMpW%Ym)tepzVAXOL>r_-=&y~Z+0l^RY4h=pEj&C(l?26Rf`%qK6eFxn
zeDmJBKg!DTV<*bM5Hwx0CPdU`YOubI*-_|BP5j|-4#ILf`mv};`>n1XEOhcHl%LJY
zK0Vw6iBwkoQh?B%vjoXy&AfFXI7iTBIudY|lKFBco!z4WU0G5=VH<x3%Y`ni7JzI9
zc>fv#H&jvV6u|+tmn@xX>H^61S0{#r;ury|r}tKiWpMd&Uje5C?H>yM&k@o2bjZ>C
zgkA+E2|$XILkAkX|IgiyT%-&|DBM2(M#a5(S>FI|(YTR2=;9cKH*kZ1%qs~4RZ)$0
zY()l1mZ}0ZbLYR_-KF?>eN;G8F9m%AACTlUuY@xZ*0a@)zS~f>LS20dYVi>0V*h$t
z#Lz=YAFS`sswR^1BHO`%<e63qj!WQh#dkP_K5?pT`F3)o=rV&yWKg5X;7In69*3g>
zrBgHWSfKkk0ui%OWVzx7(INglu^Jh-WAU^Bs8O>kRN!fXN*3vkPT%hF6AU?qfDtwz
zR(<WXg#F+IVlWEG&9|X?EK~>)xi<>gyVJWB>(rrs?Y+F!5>DB+_`64Uvn?21J#R8b
z7Je<M?bu<dre^Yp?=F7JsoOFeFO+TkBaiqdvMSv!uUYFERUp@1fK}OfVUmge(pjbD
zQL!oH&guFFDf8r)zu?R7r#-*^qQg<)V^x$hxkNR1+oz6!Dj~9L?Ld!A7{$G2W^&P&
zMw5+aoU}5XjH=CleF!NMKs-Mjh}<0pGqt``{xm0~VLG*b(13cU<6nG3<x~@?mLWR4
z!Aqq!oOSfde6fy{-{oa{Bd1N<QTm55#={TS3A<dBJ9aFuKqbDGf)WqF689)wGvt}m
zko0D2we>)1g%ljAm4h--f6$YpR`|Oi2?*?!h@wq{;h?0)`qkZi>rLP8__*jNOuIgm
zgI3MATD@$Z_(I@S{)!Yv?M)6qtstohCCqm!@#zUC^A3=b=<4cD-C-UG2?=?)R})=e
zI%G5F0%srX1#R*<?AocF;7q_o#KgoRE6bSlr2|~b`)FU?dHv-+_1(dZxj)Y6eX&nV
zKLC<e)rD`|79gZ^0#QhLbGk7qu>kdY?y_EfrDYEG8ClGpU?r%9U5TMT*sJ-ar6m&X
zUl!cUh82z~@$QR1>)2S|PI2<*9Sn+ph{{Mq_FD5@5#V7E*umq$gYN>tH(4)&v+NHJ
z?PK@!fo*QAL@PVAf%96<Mm<_bQmmCmmi{DbD_VVjmxG?~h?5ug%{OfR#CaV>uX|T8
zY9_~g2TzF}y1tL|vmw2DxA4%4fl0be&aKAer>cIwKA_l^P$Ewr<s6VM;q}fKinVQa
zgpX7Xm;+vbpSbLWOw)QV$$=1+0|$|U2)-vR|LV(u`JcL?9f}U#DKts52W(~W>A`NK
z6FTwLf7J`Xovk-H=b!RA&Fz8EhdE>Uwk@A-<2=%?q#wnhgMW7Z9Q>hIIk$arzb*Sa
zH+u_cIm^22t3diR$XW)$Ibd9<&<hr4&M;Uu(C_ka3AnrOpDc6g>*}^ZKa7-;DcB2g
zzEDy}d$7E`{6i5SzD3ZVVn_8jx8{`xCqqvqCnr}LC?2<ihX*xuSk%Ovym$M!n3(1x
zr26h2&8ZEgi25n5<rWdz$ai?l1Sd+lsMW9PGLhof5OPvSf~qd|(hLO@IDFf;6Gfn`
zS;_)yN396kQOq-2=;j{>IC}(DDM9X8CdG+X35JIxm|O_V@h4l(0#G0t7Z7uxGG8#1
z91WFxXjeE^D}`=WZ5`NrF_Z*1RKim^<}5<4U}m%gr@T0NXZdN;;b}JVOC3I(FYo0Z
z04Mn{0ZLZAzy4aW_BqjYq*<O?0-V*oJ}4QO|G=-d+m*k@D!AHQ_k={mo=^hL@L4A(
zuk&w)Unzr<aziEZkRZCqEh8X7XSXPOTy!HX9`tQxQXGOYq2-X*JMS;L8fCP_PTFa8
zb*adpyWA=#RHjpP%HW$F2nr0u`>B9@J)Tp9MtVd$c|lnCxlbD103syamO*W?0oDEI
zkpy^qD2GLjOCla$f5qdULRSE?hcbJlTPc7$g2pZ0znSac9*;d;MOWH^E9^$PKA?Q^
zTgM)p;tGsk9JS)ai4xz%q91_MG!2e-|8(OhVr3|(L&l>g<hVIV<FbK0#p8E?vXL|y
z%Rt&Px0Ypu=2h&l(ZgLH)Qd<n7c8tu5a;4Ne4V&UCGRrSa48Yl`QF&fOccpsIFAQZ
z&{*I{j^Rw%bn<=Quentfnk9N@>_wUdRLF_x)NjZg0D_kk6O$_Jee~+p;KLvIV!8<M
z1sUgk9`bP!DEi7%o12=-K)cVw!-KLjp*x>;cj|I>ms)0{r1N**?rrf0ekW3doX;yw
zeA=UH(7f<GSv&Tsktr~{?vIx<772K*DA+?|f~uGpRJFGvArXfmGBxe8V}XK|FJcXe
zV_S5?DgT-NXh*5TP|PBhJtQgu#7@XsAkr2yT9;F(sjILF5ya(-poEE<8P(i4T1}wM
zCEGyqEAh9N3VSBf%(pPB1B8@Z_SCw%i@kpdCBR`x9Uiz-s4DvEUaEkApy0+zsNx^~
z>!&|*DZa_-h&#ydCNk~~jZ%O2RD&xR72@$GMoVSVzV((YL5G6pSqmU=dhypA)KM6E
ziKuQMV*wzCN*WVLt_haO)*cJv6bn%LL7TvhPY<5LM#!$@c&Wj>`y$_)o14o)n6Z<G
z2Ov3zkFwA2<O7dc*N^&<q<y|^B%ZIh4FSS!HrbA|Vz?`(-AAW>-=>X+8`%wgcC}^D
zxYYx4<tnKWno7$U(qsZXKN9-G7p1=l``XEgvLI|O<8(w&W1vZ492!DYP=nRjA<lbC
zXc>;+At@piGe=w-bJ7_ZEJCSgV7s}KdW6R_+>0d;p&c8*vCP3Hcm{3gp&>ZZL^L0j
zZj>egGKDyd-1UxQHu~Az%NA?}CV>MyW6omI%eo{v58`-f>ZAwskYJ6pAH8fPat{2e
z11Cg%F!%aEJjv%h!#Q$66W%TW+MFyOKtKF{`)U69`Xg2~F`)i{T+ad+{4$m0zR~*4
z$FD%1+|s>AbndJVpj!^!mbugWX|@F<O0%sL6+Tp|xPQNy`y>#~=8>Gw)gj9j2IW1(
z0IUcRglIjep{9lDP{qlA>Qn%)a9*B&obD742`Q?wp(F}_)MVkteZQ^}J;0RW9AW*(
z!DWr5-fOKrh#TK{T;JBtuEQP&a*lXzech?|A2<((yBew2Vkd9>lSedYjV>9*@6|Nq
zT7!P|j{0=@YX2ml{h%WC{_KX;`%!Cp{Q5w1sAbhto|`v`{bgWKP1DtL{l`nLym`dA
zDnzI?Bq-*%Mm95c{eV}Zm*hCVd#N9J=6i;5euj}N=kIktV>fuL+bp2}MuGG9!CikI
z_-Cu_zaMb_-TV8|t^4wS#wqkqr*1qDu~!py5srV@C|!!0_mD;iXuUGP`Q5f=tgA$3
zHYlhIpn%W=T-pUBIRz}gO%yb|J+Bf&QCFdZ3TG?%hYlU%q{KZVK;1cn4NT6t*_S|y
zhbkNHw@RQF(Fl}ZNTDo69DO?oDQf*N=baC}Hr@6;A~KQ!F-8O$7(!7_i!}9-Shp)g
zLMOrA*u<s&^h1E%NWTZSc?@<xKXm2=a#BiQ)5@VmsRw$lhWm3kugkgwPATH^{XJ?9
z<|hN?(LybzBRzkiiBu@K@e@$<+Ze_`Nd#&-zLgTo7sMxdKhL(MJnQ<$`&Ut~21d<l
zdM^6SKFzH_3FxS+$9N5=64Nt5E{E_jRH}fhVOraBE|@+vxq<<$k%`Zr?*{rXct^cm
zG-{Pl2fdzBy@e}hf8-|Bt|M`ZS9s|66$h9XZ7&O35sx=2ymK?GiL)AY5vH>19Ifm-
zi;jsc33bb-Kr09jPkn3ajzW`+vRwsavI^+7+q!*gpdql;kG)8|XkXMTK!_|_jcMNv
zPzl6JKR|hMmWi(JxB0swU-XRyr<0^s`paL2b||(AbLT<LN7|0mfmL0cfC~A9ZFY6d
zuMR5ljxt}X2PVgXw#_Suhx8P5QlmGLhAu_bKKXHhsni+q*6@O*gn-Lab7sG;(0eZJ
zd#3%NuG^XT_!rN+bsWDd_J6b2mYNwzc>Cr}t?Es*K<`9e)UxO9P)bURm*z(#38|TW
zBk>*}+P*4OEI8h*&xLwBf<`Joe?~Q@*f(-G`9ITu+5y%V*0#r2A<+Y^{0Xrxfz)h!
zDq*YPY8-xK^RDf0+w9_5!b#8w*_ar?@_DD|GFS&In(u%OnjFc1)+-L3+c`{zECP{k
zk{L9h7b5>KPPw2GFYOBIj_?+{1Hvt$Qwcs@CD|)q{$6{Q-ZDU=B8YnVvhJO`3x8?>
zE<?91RADTsh*F306O^8rMp%vk*n<I}@)OXU@X~=kcLT^`CJLev(4!(Lyz*7lyNgk?
zo%aD^-wFC2&cNZQqZWvY#O(3(LJP!I<ycnVhezSG4ucF$(kY2^dcS7d{;vqO_)LVy
zANDD+hzq4HG4q`oG{v`z#6uT|5OiA*?G%B=Lp3LJ;Ga2^nWFoc)QCo?&`$PzCc8bP
ziL+H*OfuJd>=A=pBRWi6v%xNU{kHw3lKCB5QL7V@h9dsmqC7Yda-1?KOGg*aas0a4
z!RcrI`Oxt;20KZLjud~Ws!ai4jeWVyEEk2HT%J|%kKXxzmiPOg;e-Em7ygg`Wfu?h
zwkJs?NJBdbBp2>Sr^zlEm|FwK1ifmgna9B|?P?KJvzZP4;=8g-L?5)-+qdHe4?4D*
z4sXC%2Ox3)io06C!)QV-oS{1SbK9@0ER0iwFbNmn2Qpb<xHF$Eb7H#)+({uxEs)Yr
zPeU+Bq>$=cFAi^oQve2_%9o7&q62q;G}U-K@HQYMG3>sd!1zS$!stB*k$CN5sNUtv
zO+)r;NXpP}kg9ddr(MqSZ(NO>+-#!I)Z<uo=aKkY;!=Y6%^U~yRS#C;#@!!-=hb!`
zDdyyJ{~2KSFB5t2H<0@eYjNltL?AWe*IfnDp9RehxbD0tw>g?Nzawt1=2UIpIg`!2
zIz8{Ui5bqt=|!%<;O>JUxwYr!9l;lGhMvGrPKP_rPrmg_O*E_kvTY@1(Ag($nH~BY
zgY^FsK>IIe`oD3eU>)z`ZUDsRbk8AHrZxB0B~)Bd0V<X=Z3pxONmAShW?bW6*`;~~
zN`EFW>ICri#xO}UvQmV!nFvsINPKk|fVbg?Wfs-#=KVkLt^Wp`qr^bQZ)u?bC^3sK
zuXM+MfO9SEesqC%QmaWkPB7vDW!I=PTw8T<3Q-6^O(Btz2`K%L9_t4dk0{bdpYs1r
zMHG=d|GhB$z8?QY8_@QK;8g<(s)sm@MRM};aObu%KV?AUPouVCdfB20bh0BEpOk*I
zl;%gK9tf2c5y|^t_o;K(GilF;)5K^OhYw+_E1@L+!tPxhE3QHA_BGO#VKI#LB`D2*
z8T(d}$ZM<;&zK_MRK8YQ<^bFWMu(3&Dm2(XImfrEYp-TENQQ1XsR9cx=|B~1(!X4G
zkg?Nn7<ywq`hWhc%wD|p)$BC+tt0N;s<Vj`!|v*BaSL&8YZYJ2CyGkDZpY+4Ux;P2
zPx@&bJi5Y>Utgaz%{%%uApa!f6j>$)&GT>g?9&-qHWG(=ehUnET(k+}_3Om@OD`O8
zq*V!ukGVy8j>Q)ze7T8H)1994cZV)DNPnOyIKMR+@)5DF4R?)MBR|{Q+aqAS46u>j
zEd0sJBm-k(<EL+LQVI6yOV@wGT-7r$;6rU^>ZEDf4d_ff=yV$MvI(Rw+kry?d<~cr
zyY|(Jp`#FpQ1bDGfb%UFs(XHFkC-`3&ygf=`8%fnYhH!uu7x~XU~j4kZ8C>uP>CwL
z2$>J2y#W#(urQ>B!lRC0I)MzgJqA+)fJXtHm{+bmI?lg&YR><-SU2jig2RFS4TkRi
zGZq#W>gw<~Do6whBsyo>6IADoyU%gbx~0S6do}fj#h9y+C<Yp9)7o57w_sXE(IKeo
z5nY0T8B>>!rZ=egH#mhK!`y#=p&4_4@A#FwT^3N@imefmxNo9ma{(Ib918m)P_}JR
z|Kc?2Puc<FBM?&wgrfjwpYos^y~cm$J9F0_kKLWYU)Ln;K>sre{(7$~QDTor^|E5?
zp9GA5w^Hyw!_QxST;xxFNg&8S+I!G-r<!;tSPMreAtqL%!Ww-FQ!N6aBP#@Yv3NlX
z>87sE8UOHp4gcc;F-*fS4DP_ABB6R|3y5#fkP<Br_FsY3i|sOaN4<OKkW%LZ%gmA`
zFVylVCe{TsH5l4qjva>1gilP|VTfZ~+F^Q-iHFWD8=Hx^mAJ=$GF$&ZI{k0svD#In
zd>BV+4GtTi+iin6n+AP`A6OMoQ!_+=%>e~qsUkFf12ryZeK9a?#kqaUhJ;=*X7I%S
zE8~<3E(((+UfFkNyf<8@{KLJC79i*v2Wq+eN5>MPKPW%MCP`A;{2v#Bn5zeI`5UDQ
zc7=ivMlW)e+PP5=cIy?$MmY^pP;x@TY4h&VKvbF2-+ghzN>hJ6J0K)Df+LXZx_SD*
zR?G%<3Yr<Eu8ul5k-|*x@lR^!`tB40d_=`UtrfdYyOI1zov4<K+RR|y1*#x-Lr@5P
zdz78K8F$a0KVc`ZsBf<1n8P?7L|2{wNmfrM!`B@qHk?+84?~kfkOCZp)Xz&oA%RsM
z4l-LXM}2HO<IM~ykf?-#jPo!@?gk^U7Dla9gFszGF1@@`8Cp>5f|1S+1*TW8Ug3Xi
z%8eta$d*~mydSttyd0WSwT$+`xI2Ej(x<&JMvA?(*aIzNK`_#!6oy7@2P4Y&=bzuw
zGri&&VgTTksroKReS>P!yEq%rbAvksm0Z-?pXRr$kXDm*`@IOHfp59bz>9n*0;S)&
zU=XkZF@VNqf!_=RsqGW6R&Y7WFcc1m^6MW~&usWrrBsN7sYa8iYH?%EP9HZPFGW3f
zvlTkNTanE46xT^kKPD;*A}#~oDR2`40s`jXFPvJi?qKyWj6|>dzJJ`_uWPK|(-x{}
zoB;sdG?ppq*+;Wmkcw4l_Um2nwn)wg-L^f-3{Rav2_T^6AECKUNP`AK3E)T0OBm|v
z@|evxM4C6e)J!_eJ$N0g!GHvsrx4W6jQY#d4ASqzc%$8D43H7Q?g|N5WDpSs7eGU#
z#fRV5CrNDwdp>oiu)`rt7+xFVO(GHm5*~vmqF;oB29^K8*>QUAAW%5LWRr5xnRQQ8
zN{1n-Uw;7<d%Q|P<ydxt*=n(;JDrDwg#NY}h5OM2HKa~Nl=n1i{nT!Uw`=RxuUf|y
z93^W7>IZ^76;Vq2GGGqCpoANjBjT8VSqWj!hOzOxPyK-yIv!NzyzZ)|1HH>G4G@ej
z8#!28A3$YaH8V7&$!uvN5_HZ`7jSUfur9$JcD+jjOsd;hiDKD$2?zwpBz%HJlojBL
zd?oWundh)vb*JDFtC5%rja5Wb{@_+CrTiAV05>6~g`*J@6AOhX1TaYIaw-@MSoN39
zs5+>w-T}Vp%=j;&-}c*Ls-Yl@pcSe*r_m7$i)L_eUxt@fSA<p%#4X*RGz<ng-3e6B
z(~Df~B8#jMb@0yCxRbY`_=KFEFPlZ9fQB5ZeVq0IX#WgGXbgr!FvfC`$@YP^FT`&y
z(k~EIrIDj}^=b=S%`rj~d1X!z!nnlzS93kN*P+0n3(F7CU>wG_JT8jCx60ZMzlMnw
zd^JPRoI!6OdkxPGg{ZEZUyI|%cyUA3yRHW{b^eld8`?akX2(%U^#kYs@>Frnt!;Ml
zz!-Atx2SlVU%=)~p4_LYmy2^vF&DA|)4R8H0t{EopoJ95^i#;tuXWN0r3#vz!X#uO
zN3T2#dfofz>c8DP>D;f5!{Nf3FIMg1xqn^5ud44(r|;p#64sO9lgyko{^ZmbU*P57
zDxs<bO%Bi*0Y$hyAmM->cu`bp43w~K0}0YhLDmhOH@9@U=YDN2JcCJ?Ir1AnW>5x@
z#(26TP68^J<k{}0^7dE3(ZUpsq{ASs+LZ@}r4}~#w}D(v^Ft|=$dZLVQ2D~QJs?Fq
zbx;eu<=K5`Ni5K;6!;aqc+ov)g7Jx=3J9BkNkdD)EoT;bB!^v7sP3g+3iDC~5Dy7O
z%QMImCfwz^kLIwz7(f!0iFkLYbt7y4mJRY!er910{Ok(RuBExNKRRs$*`PFTNDH;g
zq9KW>K^RT%{4_90v?D@jo^8%2Z$~ZRFCfZ;DvqB$7th`at8Y79Xq}cE+tkuR0S2`@
zJbvLuu)wiHi0x<i3@G-XIgAUSXmo$xPpARuu<3o6QB^iO-jfI<IZ^|S5;~D0lFeW*
zmY{YX(8ZJk5bs9gPmnB^VAs}Q6I+c^oT`|UvPiB2y?>lZka;bpf@rWv8Z~cV4y4ao
zXgnZN<<8axsPLlkX;TcEYI&%zpjDiw<zbV8+hKG3%nartzGj9k3`&@8*mL+W+^7X=
z=NN=^AsEz_NS8~2ibd16dE*hC>O6*>*`S@-Sk;_c-^sCaexp@RiW342PezJ%fc09R
zT8XJ!)tqS-udcq8rvg<OKJ=K)eKvfAKMReF;lK+U%%F*dA5=^|`<~nY?aVy}ZRs+I
zTo)MZB?yHuxemy6+S~|?_xUVEEruae_gq2JX`7RQ{HWv@3syopW&oVfBe-Qt>SkdD
zxhtUD3#vVBe2jhs+{;V2O0}~ul<u!8r9ky`AGGIF9jGMGC`jej_T8yKMrIHOV@9K@
zqK{`{RcYv;<6RyWK`aP?#g9-&ORTRi1f}*S{{1>}F(4;Rs#FbV1_Y6p#i{RB6NYSP
zI*(xC_G&%?w3}J&D+gl}US?!uRL@fz<L|feD|n4&#5h{T_hc|BHA4Byxct@@S1Xnj
zrcPmx#|nQD#BP6>Fk?@f@ki7`K^JU$vif*WOUaTeafUP2hX%ftP(TK+irkmAjm@xn
zUaUJjS2?F1+@cB*kkgHhWcNr#j|#Qb1ZvjxQ!r$zSSt@rEezeJed75M$um}*nV{u6
ztwx!%HHi;F8(vi~{5tJwr;dDd2pR^4rd7&^d3L(Cl${)iY3!bdT5dVQI$&3}&SqGM
z@;arUf-I&4_l6A4k^SIqDbQn19n}DVyV-e=i{$GLJGR6v<>r_(?=gjltpmpAl{-a)
za9BoaCKdC*D@pt53jZ$Y_*!wO<LZcs%>mFMQs=>&lpGPuIHnl3I!HC7g9vv12qcr@
zb3Q5+mN^wLFees8Ysp+s0E6z-T9_cPaU@dOtjlsyc;|aTo(cff;ixR<32XDnM<pIq
zSK>ezXd%^A;uo%yy$|+^JwnVu1vGd)GLedeQt=I#-dREHn$Gw@jsv}@c2n-1zRy@2
z5Cnujf*rmOC`L_{cpX5zk6<F!UN9Nya2=oSZRw$3J9Q_aPaqDJ5<y8t%*Ezf*Gt(;
zgG%EDV8naQ^Ci$C(F?`?18*{4zdi>OIokUtjZ97BAcUrTpR~8OJ`1x`V_>Mq^SXX8
zXU3Pw#=5!(XfPPKk-7L@NR<yNNyFo}L6Dt*b>9mr?Hkucxs|6bri3<%2n)ZbJ|V~N
z6&_(DvCu~Qb=)E`9d1<n3eeVtLs@!|sugiqGxTKt(_e@nuFR?av3Jjz4SvcFawQAn
zLJk`Ejec^X4ih_FvF=GQeWMzX1E$jfmgSyVM<fjNqRumL4DWl>X!M$ss^Ype5W^})
zGE2Jbh=3}2+i}p#NV8vrk-sgL{zW;Vt4YvaRspUqy0bPPw2;`}LXpm?nqUmh>UlN#
zk#>^{==AuSk!+;e*^V9~CUyl1he7u4Ttrlov847+&h<h&h0Qdn%eM;rRB{{cn7sUc
zP>3JSHO{kXa<IS8L+Za%*qil{OG`}bBxLK+_LuJa=S$#JH5HoKsvu+B%kvQR0k#26
z6hwy_(NUO30|tQ1tZAM)jGWkC7UEVIbBYowl%Gzf3b(i#q7ABq5|_@g640qb3mJ&<
z17ZFzov;LN;_zWM41cm~Q9+F}9u&o{`q3h!W=6BDcz94VrbZ?G5t`cy<Coh<i_q@N
zT7d4m1EI>yR!eFK2=O`XYIsyj4zRTbkfs#oH*M&*9W9n3DJ-@c{CXF-pyNdFCQ_*1
z3vztW?HI=xAh?4jDc`*5h+81RnCPp@{h-HhgYhuG<cxqwk|S1QhytRNuYHbGhus^^
zW`9vvUzkc!rAJt}oY9$Hgn}sz)M%h5Lrs^U{?2bDK=z3GJOF${3o30mr1mQK`h%8c
z*7Vj+S8`cH_+mCOV?=q{RS?sl4Kh2IwE6k@0vJaK@fRxZKsMwUN24JaFk(!AhbPkH
zjwZ1`G6q6^+KBt=icV#X5$c6lg}gFX#dReh==Y<U6M>*Wa&=%Pp!MtHF_;2Yl%)jN
z#WH>}6p1~WGc00ZXQq#(5D0`Vyvm>tPOrgw0XE1l$^`jXLDm8^KM<M-=~tjsYJx@{
z!&Fq%8-{`@fUe84?J^*E#$ti=a+^O<_T>_e4bDtrAsBSNB$T6o)SaJ<f-}^QC6o+7
zns?BS2%S89Gt{eoHrg_*Uu-F38IyFpa+0cBi)(QT*<qDhJFpD?4z7T}w@2tG(sTK!
z)lX%hGjC~@qDrv+G91d2A(_e%6@frD?r4zZ*LS~4W>955OLnK%SEX}?>g4+Lqypl|
zNzPJ&-W@JSwi|+~ZQbCXnzu)w*Fz}GjMcc^($WHgH7vu+FpUMnaDpHyQCBZTkx)L2
z8iUdo)c1=98+OB(j}X+di&Q-z9r>O&IT>GVspuMGK9Wi<asCuhZHYz_!LLncZS3rV
zK>}$RpVs_=(ma338RFGdMK||YM{m03KfG!!slu08N{}66&m__pTuXU0c-tYTbhRJL
zPfOGzYI%<g*UY<%tiT5MJdTWX_Y_qe6}pq3tnBLE*Wo~<6F!u*rd$BS8{5#P(2hbQ
zT<YMdGPxNFzT30~qekH@=p^cnK?%l(nL-nX$a-r<Ke|u`YKYCov6y;~J0wPxD1FF0
z(<$wqdnX`wq1u&9c05~T%{XRv!YEUSWsq&7JZ`yQ-tR;s(?bi-r$P5Ens^FQvy&*b
z0R_dxoX=jz&fpVcz=CnniN|+>wD0;H^i>>G5~t7E)V``^4%d*ga`a*uajl}nk)pMj
zq5!Bn49X*LpqPgRvNJpSs;lLO-<3OS*njv|A8X0A)$TDDN=uKQVbZB+8ayW{{@p-h
zvD1knoIW-ZWfgbu@NxGZax>!M(4Fw`&_E~J6D(VUf4E1Z9Pz7f-q=Oz{-L8XcO!rq
zE1y2i=Gk+GH(~&0$ZqSCOH*Whs3{upp?ZZ3Wh}KmX(5aiWvuWY`_>7!#s_#C4eiEz
z*vc6J$Lq}70j;E0ep)A0Jk{WkmJYBe3%mVj5B%E#ap>O&=!lAbN*_YjFUp>!067T_
zMfP27WC>70Z#W)}rmKqpgJ_pcHzZFy`EZsFeb^~Yi(M{_7f|DaWed3bG8p@Nd6t|m
zc)Yl?#yN8A>157HG;`4hr1qnA<i>>J#S+k9+@AahfkOqU6&*6uPj<HPyBSnX(m&ar
zmtk3Cn^KGZzQBAXFyb8<s+brVQc!}ez9BqU4D`eDj2j%8qo^)r8`}sfxL9AGLqn6G
zA;_)L>D<uUN-2rM@zDF`goZUjOfvi_{L$V(gkg{h7a?9WJvCOP`8atz<iiAXCTv6f
zQFdLV!rL)OV}}$p=qKu^YpfhvBf9#1xfKQzki_&k0i?Ys_Y`t#y^ioJC{IBY2yGZ|
zPfahCnJt{YK8IeShA1xgw#6$bM?!z345-|89Czptakj`aA3n=20a9UOC6fQbNL}P-
zMK^EWe2?N>XaYBJG7hvksH>@HA1@<={N1fgfflMnDH{zd^RXYv7!kl6P(f*sBuaxm
zOu)@HkI|Qg;+Imhe4uA=dtS0I8es%n1rRx?DGN>ihtW*8KjuS*;achB-Qe9d8HfEX
z1!<bcq2o&$QXq&YsQqA*fZPF;z$1rFbb0fUTUAMAu0n^8j2hp}LCAfthtqKa1H*Zn
zY0%xD4GWc5R143c4&1WO@TK_sFnkQnE{Cpbq`OBFXtA!M>&+m_X!zy@t!&*WAIIa-
zbkWBLFTp62<ckczZQHD3T@9c$pbQE+3M95NR%4zG8711Ul0JUZO@@>Lryew;7<&4@
z4Zwu42eV(-sqR3ts8PUpHSK0)=0P-%b<~LKF=tZD$plx5>t>7#N~15j0CYKA_1qiH
zyS_8|f`Aa$5jGmL*=FxfC;?HmoA;YSL2^<XATtY?35EXY0Xn4!riyMne&0qD8WNx(
zR+zqF0h$4Mknk>OWF42#4ggnya7^aMyff-B@0Ymc_hTt=i)b7wVs{ktmY-v%RSXYD
zL<=jZe7Q@ih$v0MX4mBJsdWOgmocN>$6;4tI!{47<?RGP=@ldL;ESLoKX3QohO;{Y
zoMwgBt}K@i+12{8{><Lf3cH_bXL0c{4a}{+txz{t<Gwbsne^MW>s(t(&s{7n-*_YF
zW_~*&ibR!kRAt#wbC&l-SIIUKplfGpN=|cPeEcDiNGz;jYUNX_dwMKF!@_d1v&YTE
z2E{h5y-O-78JM3}@b>n;m3K9DL?PWkV$oNXpP%2;%j+{}<Wz-IGDcvE8;r#2?d{zQ
zB@sBN+ETXIR5~&;($m|!a%pMFj1G8LNLcu$lE}dK??+(7A{-Q}E&lP_k=okYwvLX4
zDUz0!*3K|WVPT<WW{Xx%+xf)$PfVuUnM7SvGqW5rd1+|T&pjuD9UB`<B9VHTO!;-|
z*4@gdmM|FY?N{C0-JN}X<5(<KOl)kmYjdXQM!%zBld*jQwa&^llb!O60RhacK+}|j
zA8HOfk{A#W0L`a+RsEz0;D){iVlZTBv*myDgZJFBg7U!Q<+g!~2Y%&8v~|M8mCJ)L
zpTCBw_SmT{=!cl98vbSN^S!Oh@}Ld-{-dW^z5Gv|{IdQ(c!F1=rf%7V%31BY=)#((
Mwbe6zx%S)t0{Q(6(EtDd

diff --git a/reference/plot-7.png b/reference/plot-7.png
index bf9821269c506bea98ccec08fadc6197ec142314..e96ba08421090e83514a79b5963d05cb8fa8d524 100644
GIT binary patch
literal 26123
zcmeIbcT|+=vM!D~>NYZ%P!UiR0|*QTKormsWE8VV5D*2)NtC37MxD`?XhIZ36b6(m
zISM+`pdylU6eMTK`99Uo>^tjs*7^N$*V%WSyUup4y$74_ufOko>#cg~si(@@$B!y5
zn!kEJ2M5QZgTKh1<lvZX$H6g6=O1(MO4Y;Xz4*@@9VJD1{1<;l_op)OpLrL5QNPT=
z!F!ATH^Z~3PmhCREyqFmead!EI&18oJkYC=>+Sg*lN!EY^YytiGaDOM4c^kx3wU|$
ziu1M|d184g#zFc<#-qymSKhZg&ps)f^T)?iK}If{@7z+}u{3ANR)wZ#Yv*r%!K>dq
ze2a59_T71P8w2&orb(yQLxU;$%_&jisj<T{3;mOuQ^F1fo!r8{xnGV(1}<R#^vwE)
zH1-d-m-No0A2u9%!~V^k%`?R4?|TFOE8cK>*YrexU_yd~v586JT}8f-k&$<|IP<a?
zUw-2jl9lBN9+EXzmkZ})v?O0{Ik12K{^HWoEKbJAyVFBkybeW|owZjmGc$8&Sn98q
zy&U(sS8tx((o>t43HawJ%KCer3{mdu^Y--1YY~=};EDX_#qu1xFGm{|1Q;3`GPmdL
zx$NZ_8XDSglgFItAj{7wJ96&uqo2<6s?Ni6dabXY{p^$-?x*4N?jAQLvmj7W@yL-}
z<8h~fKz{ev!?n8w1di@%da!xf{Epub;1e%*%&^#GU1{_}Put6BqAz=Q%9F2lQ)^{%
z3_2xt?8uDH=1a|*D$}ynl9x}L8tYL1X(2uo!qvM`f1tJCgpgN&vJh+Ctu--~PB{-n
zI(nlHz4+8W*CZ+^>R8v8<d&zd2k&oGkk4%L)~@aBtZ9-RiuP3Smvs~nXmHh@2vDb8
z+i>vBg1z5FUk?<9JAT~qBF@lPQ<PhKys}I{Kxe44LX_hlSgCv1zYSdxiM1|s`5k@|
z5E!bltt;1Y6*-gERiMc47ax_>;Bv^DjJWG4E>~!tF*y|O_<2`Lcu9hWX|zITOpYiQ
zSKrtB$FjoJV};J};GJ=jGc1Jn^kpusn4R=cyV$^5H2Leja0_fv+Qhe<u&&e#AMS-~
zd-BNysBMibZkg!M%Nq+Hv2OVJ`5l>|9PO!Xsnc&}ac&JeKbps9-&qh)m#DTi>m8@u
z8vp5u7TwgY1lO^#v6Vla+xz6=AM?b`tCLQbRy+w(^3IYOu3q}W&*n_$t9Oe}XlwKP
znx`18x!U@??{$x(Sgl>7`wI6{LS7%8{8_HtQI@{HE#Q7=R-|k%!^qvT!nLnl*OT=d
z_t}->-KiD>ofX^L+uH+dduqwNSo1bL`BAdQ>eS)K+k#joGcv~7!z{bv%d+0zUEjE$
zf9$wKZTfgOPs@|bN2@RA$@IZS!lNS%{2e7kGbX;R+;-s?)3m;<g8cj+arYWeY$}Z`
z>l}w!_XL$HC&r^b6o;H@)TkR%S;#NDN2126=w(!t=k$o@G+E_#zAInvswJ4Jr<UEx
zYte<p<W6;KPc(3sB^`-YbMs_OG*(EgKj3DV82{uJC;!u~7CZx!$ys_Qz2&KW!$8q7
z&l$7k$U8bZnkLrRSYqcg<)->PPkU^)ZZA&4e(3hR9`-P=Nm1yjecgE9f8s*5ZJnct
zY__kxqw!G<&kFvD`nl@%t@+PIYI`odczV^iG<|w%yzHtycDnVrU}@!ePlmP&^Q8QP
z)vH$@V(D1MJB|;u-5+#k79NqTiK|RMCO2tS+Jn{A((~{Cyj!eeJGLw)`=N-2N<!4m
zNwOeecR8!p{La1)_cwX#=RMWJvGMcaHNc&T=K4xTDdg2)YfrUT#&@hX*$u-|TEH!8
zY7?##t(K4*px|1XG#$)HUCuduXb;1rQG0q!)hH|?!MJa#JE_q_KigN<@v71E<gi7b
z-Kc|8kT`wwSV@%A>GrC`p4EvKhK8GKuxlb?TE4r@RrRvmRt0%Fd|hu6{@kK2JqY)d
z`0{3g-Q-}IQnIFKRS*C4NVfhsV>q=gcWkJ=By6D8z9(M8O!#T6MOxp15bX@7Tv-cl
zZ3oMtl#=ptHR+}Yr+m6HdeX-eT5Z*;GA;{xRM^&D*<_y<92{Ix)>!g*htWxito-Nu
z|6J2w^m`M2hLc;kM(QU4*+*PsV;xaZF?CfI8Ltb=92xz-b>TMEbNTGnn($i}pIH7f
z&TQl1M?Y4XC2FM&6e{Ho*$-71=)S+R&g4mxZH1mU3pT2;qyO@!N8-^~{_Kg-{<6?!
z<xhUQCFd+&lT@i|V0Pq*l=#?S2e+rpkeYASXqN?pC!3$)fKTYUJ93L^u3WF^;pRWt
zX<$~_;xaYSBBwY#HQD%KlfR~J-Ky>SnK-3fjoF@2hKq#T>oOP>+c@Y0l64Mnss2}*
zA1948xW-oD9iFhWcoWAQcOFSmn`+DKN7$Lz$@KA>o~&bxu_8E6%S<lC%sj?azy7$~
z<Uo<-$d_BHuL?i%#^%XQJCw?{KD!YR8fqMoU2d7p8$0ytyruB*i6I+di)!9Kq(xXY
z+}@<$rO5AS<>mPFYI{hy%(*wt%#pQw3{6cn^`^yjvo3T^4pmu1n1n_~dYlYd7IZQs
zJbm8MjTeR`C$IFexP5thl(ffArVZEHi(jmNg8=aJR<&1aU06C>H4?U-z0%|*HB_z}
zn=Y2t`?DMGZku>rci!C+k!jyPcG}dXJ2p;@_vB@nnwq+KpS`-pV|RB_cwR?T2H!1S
z8?{u&ct-^<rzxMyC8t$cFk1nE0Q=!?OY9tLpsgq{I$9iGv&@yHmS$)9>B%nk$sZ~7
zPG81j7FQsYeRZ%zRdwvlm}>erFT1uNZ=Jpd)`_hv0*`Ob#1Z5d%b2+2wrcyv#j+#y
z`W;nz-dZ}?KykCmIJKAy2ZwAKEq=B-o#oNda0~j5c~XsTk9OOdhxxk(2Osn2!xb1q
z=lA73m1%saVSZaZR-YB4mjef#^~Y}u8W9R|WiQ-ju9Pq>U+wK@7<MA?fSz_!UQ55_
z`*pX%<K#21&t9NY{_1>1*YsG_v`|>=Ysb+XZ4U+46)dOmF7EpqkGSAx1vo50rH7e~
zo^pJXV}m(kPE-B<p0S^$h56v6DGX~^yxv)hPrwpRY+lyjE?LXGe^h!)$8>9;XI9ZM
zIjy_W!dE^W_1Uq-gp+Si(&<42%k{>_#xYgf4L+NeNWl*B*GZo%z4)RRVZ}hZP3GJC
z^{N#uZreX^R*(-#Nl6(%Xt^-yZ{MBlHTKz8Qp`ThAn$3|q>rUi#!Sb;gPZgw`5Xrd
zR!pBglF`k}6?E#DOuX{uWhzzEk90jgjPW^*d<p9;!m)0zNwqDt$bYskSM<fjMt8}F
zCB3+Ec#L+Cx1nKZe4e(FS!}LE#RwTnST^EI5L{SnXZh%G#&k`4A9?k{%-c)LMs^PW
z{QS5yoLcOp6VA420z=883ZAXfB4aYfiGQ+H(Rb2!#r)q2U!DkznL>E0^kKY}IFn*!
zWHjEDm^XB#_DYLa$>sWMbM-wJ@koT9&Y2w^u{^H=9?dp>+)u`S=ui$H?CZq<MWq-<
zwAxl)JcW84f=g`0nKNUykzd8D23C&1BbKyV4#At5KDov3lvL7))qInpKgU8?B%}Rm
z=3MS3b<2&~A<7@q3nxR4ISSoexayuvLg?ejygmJgOJ(6~&kXKtJk)`eskSOQayKVp
z>Zj3e+YI0Mo{Z_K)1MO@aXK5i66-#j*CECrLT6Np=gE$DN+Dp!RMky1OO_=J4B`e}
zd&k?BpTDKzx&6wwuQ5?CJ^AHi6KZU#R6K3-_swO^n7igxR->4A4$Bkpt8<8;pi0l>
z<SnOyGnXFQ!^Oq5bLY-JY{w4!CtoimkFdm?xU^Dj+?h-b^W>l!u?ZCo4Ia3oywA5O
zx>Xbkm1$l+au{AvK;Y_N`*PbF>oRFM&&29WIZ41~s_^s@Ra*((#f*2SbVRmR#I^{H
ztDZj1O3aw->Kw9Qj8{pNskQ0av=@h{+xO>6S`12Qn8lwimAJvp!QuSiA9flc!ND6B
z@A`U&$=tlcRb21mgP80W$NZoEX6HXO@Ip7xUBYGGjX4VPqbC>U)L;SB?K7ENU8jf6
zjJB(0oEeI5I<1~Qka-DlPctMh%4skxoQ#!)vznacD7nbP-{IQ_wO8lfu1-AoVc%Td
z2k{Kx()g>ZTnH+t+mG~q(No$Kmk9r>_qN*CB7K#Tx2Rc>9Uy^5X?kmbYk;CBpGkFa
zdb;dq>5lNuAq3GfiIV&!VP`ytn|&=rHEf5!+~W7>u1QU_7ZD!&=AE%d3nrLwtSD%)
zM8$>sBkvVu3r(kk`S&8Q*amUNmZ}7KRs?sbAtq);@EN#@B)qQ-)6iZ8n<`bDSt~K}
z$w2mgJU=WkCfg@6Cl#1NQ9iRTo1dSHODugvCk-#?P5Rz^7NMmWQ+Vd2qNulP?Q463
zMAhZrMEt#0otS#E(*S5lB=vQ$>w%!=Z#iOlmE4*a_pxCPdDz%I*;JMD6eD5~5&gBI
z#~zAmt=7%<a9<#rv=+v@gaB-DNeLwn6?wu@Y4^;EN_Sr5$I%S0v6?gN<1q4$|8u2D
z%Gz^5;YoZJMJ-d<e2o|T>`#g8GVuL;sfIB<StgZZ$5Jmgd(EMa2W~P^SIk^3cgOgs
zmX=njdC%i|Jn!*?cwQ;Ehgh2;X9<CZ?$jO+Ca3;;$JYJ)E=(pH!ZkABFJp#)p<`T?
z7XjSHYkQw9J0r~#+2;0kxk13gLqQ|ia#MF}%-d9>FDGku#uXi{=mIp2P^b#h!8W=^
z>t<7GB=2ysASBAM%On~nD>IA7Vhuci8`fg?#-mS?Dp%b{#On;}Mr6|U?GW-hWLb1X
zQUO@JA%8!oJ3^H#f_d~K8GD-@5)ubw{l&(OjIFsjO+$jYbEGNyK7YOrI4=N((%#V#
z7#S%#ZnS!v<m<JyDSM8ZW3S8My>q&Ef4#H60UlV}U}yMC!Puw1qRE8=?;cw}m+`0w
z=H@q58mS(57t)mDgyq>g|A#cQS6vBJ2e1$F@;0n7CKIWENOHcFOil2$rpe(t|9Ice
z7tOAgjCrWs9^9|G&>_{jqqM<HvdT0TJN59afw*b;D+*`TS6ciCGkDLo=x@$-g`w}d
zxtMqL>#Kt<b<<PB!e$u_mo;t+&LCJm(rF-9)%?oFY`H57@us3HD=SMa&hW(6GjW?A
zZdG5R^l<BKywv%^=)LCF6|r5VO`mc^wNf59M#u>euI|Ynj4iXN>qsdblG68$^xMst
zno#lVFV(Qn>w36#{VY6M$ATFaJn%qL?Jomks_t((=D}ooYdh^)5O%<0&10Ffr%o-s
z#dp<E{z25cs)0Wg{6{i3RmL}4o3S{I%&u29#rmxOXwVj~U{aQ1CT4AIEpA-=G6_Hu
zm?s+^oxp}C0@TjXu(0(4I&ZJf?jyJC)O&;ffmv$9Wn9uMq7Mfn+e`KA;~GAsArpO`
z47W0EhD<F?mx3(tgR+pGTxw6cz3)(R_1MJ|Z{w|Tdb}K^mU3Bs`>;tPBYu^atp54{
z(-niA6|ovJM~mVeycr!t2b^46Zx$FlgN=xpBlV%ZIbFDr-lV7OSSxenochgOmz(9I
z)jmDE%w#UsNR551eEPIkuBH=!j7FRm0+B}L^R}(8ON<WMrOHM{JkDtf0OGcU=Vyr|
zRxfeo7V|KPdM#l;u|Rv|=Zb|aq~|e>dhoGkmD5OBed0akrbZq~S?W;g&zzbZSHuCp
za(m58dA!{q!N@=7G`=t*bq~4QwaGzpN5nptJ>7W3XPLK_jk=Bf=x-mtjXEqu(9Go)
z=m-~b{B%IR6GugT9GRv;Sho7q3@!QaxB*Ik!}DOJ1JRz2TTQ0n{XhXwyyEJ6yJWGi
zY0N?O>EMnb*}>vdeeGdU`r5bncNiXL>4!>`6vV3d$|@dt*V!Cy7ai_2ITlg;0?%O@
z@#*2GIZw9f9daG2Q&yB=AYxg9UdVd3??%k{Q-J0e+5NW`=T;&JDfteS4gBHkt$FFg
zYJ(DhmMGJQ)*8H4`TN4c^&Gdu>|zGv$ltR7C}IbLriT(UD3dKe(G)Q(bmh~52XoVe
zpYn^upL=^fX3##jel}PpLHMM~OF1I3t^u!yDoy&L7?Z+u^qFddS5pAPtXCYGLhKe!
z4VVDbR*g=1sGTMp&{!5_HfBHhb(5UYiOqJSP2L7wZ*R<v8oF*VYwqGtl}E&C<D^x!
ztV>pp%ZF>{X&2R5vZ9_*Y*HUbkltSr-V$G8Wz+jDKFD|b)qz%(9+T5YWd@7G9X|+q
zKhPR5c7#FdBJxG!R+&sGfVW0$h(~2*<w`jxhXjvrtp$O)0I|I4?N`I@Wt+-pp0)4t
ziqH1suM6e8;N#T0{lfb@FGE6%P94FXy%L>gSM@S9ROqPGmtQ-FK%4l+tHwVyM<@Y+
z1%1M6Tg@dmJ(?Gr?elrQX&7uu+C*-+`tov~#GONRjOo^rFjX7-ukY{Xp3O7?n%3)B
zBDu(3)e0WQpvzS><z?s3TEZz!4>dlDnwLEpa+snBL$>95y&D`uc8}9=YUhxP(&<j{
zJ$f^G-_GS<vt9p_;c2ZS*`pthITf1LSvF>|B-8ucRk{qUhd>^5c8mk~*|@C~4`3-7
zANH4(0o;#Lj(d7K8KgsO1q(jy%EVY%#%FzL&Xqr{H3y>*-oxZt|53D>HJ5f<-ZZ5x
zSe%{r)HgUps7w6b=GF(uon8`;HQB59W3S2^yg$aKNZlSAo-H&krk!Z}<&WR=xQ!~|
zKZR9J6-9|KdhF|5xzE}??-YLDaq`HKBNbzj$M*Eecc%4!7I&H$F|{!Tnl~y6W~m$a
zotEgo(p&#lZ(X;G&rNZlp}K}U`xoB^9=ov50t_5T3VuuEd#tt>{<RH0RpX<n-#!Wl
zf?cuvB%YnQpHpU;#p^+p1ap%RWtZ6tR%9Y*>qNaCa=FsqtROF67O6!ng(wgE<W#sK
zv)rCgX&g3EnwY-4DENqQ*p;@zpuS3zD3+FO&2q3IYDRwLx*oeWnrL6n-D&xDHg_hE
zMH&}NM_fSGPE`A9TaXlzOI;)^%k4#drbLnLSx77xdVY(~Mb>dFbCG2Ak967b<Ij+k
z>3@2}MQ<Q>W^A~}U*vA#SvsIeU+*c!RC(_C_DjX#9wt-QQ$}L96AuqhM0V<YuRZ$S
zyL;05V}=OhrvwK_9aCImnR&*76I;L=D)0LmEK?A3^Y|!mQ%vPltbXp9km=qp?=<3~
zh$E@euTHWI>q@liYdDFgSFJoI>MdMST>JpJ&LJE%O{3K3`)}zxZaVg~I>09ZK-JV2
z&Ne)u4(C4Uq)hH4A^sh<-PJq0r+>eH)VS|aprWT}s#aS|lpumzj7r|SZ~nw|#p@zp
zykR197O|d3w<1O_2n^tBRu!ZBvcGT_@J>Y+HaQ|8{UKi>pu+$HpEquzbZoc+-lMFW
zGkQgHp1*eGh5JW7dIXlJBiA(YHB0y~_LMO-+NGiz5;xS+nPl1cJ#|?<&OQIPn3gLA
z0Se#&B^WJ-*2L!IKG_wk5cN82oBdFyX%%2_L`edjUfG{+B+evo**Q}wXJ_KmZlK*&
zukD9LQ+tpOMj9R=OrP4FViGj&%F_ATKl;9<zr#WQOMKZ`9xyBhuBEmz&5v|-5HO<K
zf_)>Sdx&H(RT*eEjVn0NhbPGf&r}+4rmBB5EG*15V|ud3B>YP95s8Wol#uEhY~#e9
zQ_>$Z_)D1zBJf1pF@_5k$kE*~Dt)Xy>B~)?O1+3e_`q!B-a7CUBDKv(HkqJjPp3Tu
z%2Q^1yYK%=|0F*ysHYSi{xUK$(p09FkXDvEPnl?ZQ23JU&P$GC10VFg<VL^V7mhex
z^CUR-cE)I~MMCllEQDIw4{6I|8fKTUQ~Pm$yN26(iJW_S-yHH@hD6OSZM50fGIwWL
z=C!$eY6*+Y6<6&vR{rEKC)bU$D%JM;eVsSXGfrq}@ggzvyum3el|I>JksW7L)Bq-g
zP01L3^6~LWf;s3G{(jK1RNa7u-|&}|AbJ_(5qN1JQlKK%AiMtUjk3^Ecsd*8NbFC1
zezME5BO);i9*$?$oP|t~%!?K+5;x3$CIwHb3p*A!`21u=L|z(_s7&ptZ{Bv`SsHoj
zMh-0GmEMtJ+rtN1jkb9uV&)UetW}oCYqJr8mLtPZH*$L_W1rQZC&y37oetU9P!|tA
zL5UhpI<to{JuZH^`BM_In3#Bjs(1RnW-Dkbb(=puwtTlpGE+Qz%~Hz7lvPy~$(4{}
zA!e19=aC!(&MaHb1Lz@9Nd$n}%tk!(?CYy6Kik^mtU5<Lng`KFiHdG3x$rec-eV_K
zZtL14BVX8NG7SuAQZS_ybTUCJ>g?-Ey*4gvn4!h#pp(L)yB2eFJa!za*z^?t*IF5G
z@(FwcSY@BCX{4!{*&ywKni@Qgh&`ejLzxSfxF0m`?Om&Xy^KwSIIp^V-?7OWQ_
zVAS_G&mmaL1i;dHNT43|h;rokvGEaNN%hxZ`e9w;WYS<sc)7R|Yp<Hb=E&i)Z^jOT
zxPM`ZtW*&eOuQfAbav^)a;)uzV&>eApeUnUE4)|DU!4+Gz=IR|y)*qjx{9T*1cWl1
zQg`Z$SQI2dzd17VEWN{7exBV7`eBLQqCa1F{Ptf^8=|k^_z&f$m!iB{dyQ9!oLM&N
zkRF(GjyE(U<Tg+OlL?}4VEC2_(R-0vsR!ic5q^N;7f1f1@B#28@)iMs`M>>)_5J;Z
z@O7)5J9fy+%OmQ5p0d8U^G>9@MCE4SGt@{B5qUKi{T^mg7D<PPi;M86PIUR(<<X)g
zWn~7VMU_i>BZKsE9?lz)_=yfnP|n;J9}9z&CMTbJ5mvpt#XoPi_cJe_sZ`~yEBuu5
z=j7xC{rtRM^SZ?Qrc3IZn>4SNhDAl?O_`km!M|+&Z;K<D)*)~ZB~@nv*o(XN#Q%4-
z1qr=zaQyPX`Ol5|@AL-iw$_<KK_DavR6PQ(od)Bj!`X^ep~PGq@Jy=Sc~(F|LPB89
z5A-B2A01uV>%k`@4Ho-V;UpzVpxm=50hpewo8~3FGgo;oz4iDNzm4@Zrm?vVvHp{$
zgsGw{^nDcoPOx^wB~Ro{PaHe!C%scNeWYOozIrvRmsd-aKD^i0+GnR7AWSCFO>~}4
zfCa+u3s5>LzuFPe_)$2@4c?337qDJnpb~qfUovrj5-*VH5=G9%1q!CK-k7e)A*6fb
zA9nqt4ic9W8PiiR7J6~7o)x}FH3;=P@?pe+<L*WVUdZu+$33Cw&A#e!E<e$FKMAul
zPY@=l+^4n`wwmEI*&sLFFQ=O)Gi+M0Qa8)(_Q{aAkJ)oL`JRXjzq$E5I9T7y>|7T-
znL!tFQ7Y@qRhiZHv1zJjff`Kkv*1f-;N6xbar=rEJcjKJ`b_!5qRitfmie73Dl3dH
zX`5L~`So!dMB9qKLM1U)WNP>7`1p8}YA3L%>QZR|VUa09M9;evAH0f^tcKOX8M$F0
zA$`~8Der{~*|B4XmDQ>{X_}%fn(Z6r|MrLRw3y=f7NpSA?<N^WH91X}^xmEm1e5I*
zv%FFp3E<gx6L>u=G}J{@OIlPYx1~R#Hlb*C8s!<)V7rh;$!!CJ%PunXb!bmZ^D!p+
zR?1wpVrh?HO<V1#99wNuWyY&DC;ZgAn~Pje9o-capgT1f#c=P4OpOfC{bS6${>?Q@
z#1>ntRS|`F%wXijf!G*J<SE$-+*->{y*TQQ!p5G(FhTvqR8&h;cQ0}R|L#6q$H<WR
zs3&t889APii!0iytx&=-U?xvYu(lw0Zu<M5J|xCuJ~os{`njq<w6&K;XvjPKq-zXF
z0}Jq~pPbDT;2^8r_eAHzJ;CL?oF|WOUM9Vx-y|oz>nLxpC|JYgfP(T4)8loXs1Vw?
z&*(vgMs>U#6na{|ne)TBX{h-AY9K8FXUo<C^pih}h{&CJ7W;Y@x2OK51D->JulM00
z!IqPoqD?DeJVa-dCJ))k<%60o=vzCRcd|A`BxnEE((0hguNE&Q!_2QR{c(l`=-bk!
z8neV2>7>>4s`JOzWixt^w)2p+N!Hp0cAES!>L43@#CHXefQ{e|Zo`vi-C4I^`W18y
z^pUn@CcU7fQC-{JfFg&Qng7k3H<Kto8RTdCt&?S2X4ZnP%LaqL@|et^@}B-r+bK29
zYGAqQf*5z@wJBc*kdZOcdrPi5nB~I$SgEAn#=eRCTe8a(d99V#puEMaMUo1RH_`=L
zO22!)@*n>SJpZj-;lFQ^Z7Tmn3IE<KwuLYGzqk&{-X5ZBcfzxuP*p7}(0jG`G=&Y+
zz*-AgMzbRB=1kTZxZu}%iPs*&H-D@I-o6cn-}c<j{9Ru!?SgChGHq<iM7k$5wOU16
zTl+81(l$O3FBo!03DHyU8o!@*(T|7L&W<P>;1`Yx%D?(q(2)Og(C4?~))MkveNJzZ
zGjF~Otkd9jWvN&Q*J~-E^xzIi<{^5+`X#_sL4-yklS%$`>)Es<fU+GWrKJZzNeeXG
zC@X|W!{(yGonYW*lwAzu<&o#1(6Nv0dvUMw4!!)Lpa}rpl&=rBn=)7P@CZ+>ZhkFI
zZn*Aw&)kOw$0EM0r^3VEK<od-ZTN4A)c)<B{%sGG=KW{c1Nn|;C!2G9xe1VGOf-r0
zL6xz+)^WI|96~DH;Tl`dFYj(;qo!P4AjsARDl5PEhaLA;wI4Tu@I5q~_jvoJEKh!Z
zl6??ABIvET1PGP)_&Qqoy-n6G&WV7kgaKAcTNzSz5dC4JuRO?EI0rkF>>5Gnxr0by
zS)ecu26w4+iY9y4Tv~xYY<g;C(jnu?0wocs8g-U(H25R<I&Sa>+L|^MdR$zfu5IO?
zA8)NUW_w?uz*9e@nZ!T=0kDmv542v?jWG7FUb-z3s25q`s-BAcYnJf$*Pa}Wp3~z)
zvKlU~f++0_2(z?xr%8GjqI{-F*KvHv9sW`^PPWwIh}b7@<d@L&%nG|^wNu6$;1e0&
zp=8a-@Gi~k32?BNM6H*IhUVUUDO1a7)fTfaQ{i|p{2~xx{MD+Xj4TNWi7eu-xVW@O
z{@^|nmkYvLL!u)wgz&g5L|dxivV|wLwd(>n=Q%f%lSIKx(R;>+4$7{O(*qoDKvjH~
zw=^L(8>@M*KI2^~6FW^&Uk+`xyK~*c$pSJ+jn`%`7TbX{b7<LJcN=V$q{p6b@5@1k
zNvCY!XjL``f&56?+8EdFC<bNAm)aSlq>!Bkf~XNza9JVy*TEWqR#F+^J2^H)70pS5
zdNdN11iS9!799{5uG>FL1+uD0OcACP@cfv+Y&2wlhrABX^l|dq17RlZip$y~U~+up
zH8wA+9BA9n;h9+Hv|B&dr=&pdjWh`XPESnMgGX)D)VV=*4i|qVVB;`)5@axamqVhX
zqXQcE&4+I0mcG*wZygN{ziss*UWfW7dl+);9Ab~%MNO*$1(SFW7E*w?%Ip=eQ0Nhy
z1V3&dQ9$m@TA16PXx_*;W$S)jUEQskNw01Q2P|=DW!*F+7|)Pv-7h8~kH{4<k{pLz
zz{O+k7H}@h<-8A@>h6yN0$-dvk%FpZyO{?6qNo=SZ>553^w$Ax?V%)^{QHr4q)h=C
z6M9O}|H!)<tduaMnI~0Gu+u^5h@-Lc`(csDWkhMsAeWPAKq8cKk)7tZ7E7}h)&_s+
zM(vnSRnzjfKVKf8mq~&Z=qbCJiwjg(oo?~V6JcGuQC(@R%a~3PVkf1~YOHYFLQaMh
zcP@Xe6jUf3PBkr#XOr|Y6l<2aPa7+CjO6H0exdfA1v<BX!+&SC;eUDz(~{PC0WR~*
z#1~EmlWHP15S6YJ*O4zSE3=jVuI2s^YWF4;8fU2n=6Y~iBou&j*;_^yRSlwsKX!NE
z?|Y!Xjs`ueoU(?@!ue=egVGK+h;B$(xOC%TCJ4+IozcKwQOmjy$de*YcC5fN3lcFQ
zt;O__y)RDpIS*5fuaxS{6}ob$Z$XV58W!mShKvQ(AzNt5WZx*CUH!E~-c%vy$TvE@
zr```#QE4q?#~=ApA-D;I$bhO|^2l{b;I+VUy#Pr$|NarjCNI?(8&X+3McqFQqCU&^
zkQWC;hZ(6gY;7Qkh5!Bmt(XfRgnFhSzXFv<RriWXI{uX?^n_XMqFdqcQ(?`jO?MpE
z?*i)7?}FG>NI(E_#5-mR-pynf#mB-X_B*Z4Ea$XC46F;6fs8iX5gY>QR8U3cjAfvH
zqdx9DYw^p!UzG%NU7%)VP_K+n!duu(JL>C--lAF`$He?Ac(~a7?mxdktF&6LYYnt0
z(V+LUQF?D2ZSnV{5~Y1-nD%7*p-Iwaqs%T+d(5%@l$R)*B70U8I<l}9OeotALv}cl
z;rI1YA4K6gL4&sZsP|E1T`$mp%8qbqJ(~jH$PL41n4F?<5-5~I^m%|J5L940eKV12
zET~bUSPF$|Rp2sueAtH;u}I)JTg#%fV__Wz{zH{A^t-(;RQm+KUsg?0NcP6Ci*O|9
zrXRVu>c&bFE6qqC&f&aB3oG4&@N+k>Wqm-?c{7s)cEl~uSO1In>`-`<>M&#ua&N9G
z8(-Y<Sj=e$3$F=({ciDYt8;>MB@QE_qSa~ODKa3K_o_*p&@tlTIu(5Qwx)T>s!OO)
zqAHeIqN?pzBMFH}!UML=z1nAV>P>2nXzGO=;qZ?~cX!39H2PisyvuA0dkxRsDEy+d
zL*C)XA0RJijD~61TK##N42u@lw)iugf&^DXJiC$#iUJ#tJzWD}6IPu7I3rPM7)VuP
zE2ybO^w@W3dZ#i?{+$c(K&-PZC@Qm6eDu1re%zLNEiaPr6z*p~;H&vCDrl!qwXI_>
zhT3m~4FV?YYlOdc$*b3j1ha~IVk5NXuD~#&h?Mb#vny1Z&<0>0b&vf{X)l|3b}x?l
zt%gGQ+$W!%VKO(_54E;(UA-R_J2Iw+r-|FHaJ(^R5nFVILlk7oe$%VBa2NKdnOykN
zols@YLj_;c<feySwd^SJW=<5uWT{w?*dY{J1*_Sy%WxBJ8{g;?4<s>sh?7d39B-y^
zr7A$Ca9mxh?F;*XMzrxxMfcTS@pT~m{{GJK(L9E%i6`&wgu-|1E$Yn>;_DsisgrX;
zNP{p8Mdsz;kwXU9TrLNbDeA>{u{2y=+^)Ai3AN-#5Si`~36(;T$<01esA%d!lj#8i
z)lcjxdT}gBiM_(D4{+7RsG39eVPlWLZVB;ZyxllDMB4sbz91K|0`@|_NjcHCDveek
z=oXu(KDQhn?uI<Xi*E_N!+AQd*6-HA(|)6~7-3<OzB{88st?ThQC0p&?_VAm?p55F
zw83)S*o7xj1x(A0_q272Gap%MHl%O7DR0SVutEIxiS^Q}*Z;6%bBug{($Zht76|-s
z!N|uvr30Nh%ZtsQeX-$wG2TDgp;D6ElD^D3w8N>RI9cSCJbQWm^S+yxpTuHpP{C6;
zb*gAZ4+Hr3g4&Uxk2yK({qww27D^viP*8BK+FNBhQmcOUEFa0n=Y_2k*3(ND4(<pE
z5C1eF^QlECCBVhS<x}>(ybdb`kb(Wt%IfNmjTm>X53N)(yPMOLU|08PRxN6;!brCh
z?WWCS>LXshWPbbh$zNj0i4!Nj>|cN3jlEIJx(5Nm*aR1p7Y~mQj9!m?84&P?+VzET
z*=l(CW1QSC`(*v|9Ja=@fSu@~d6Bmku8JwR?&Is*2w&#{x$v@{D)6NDMr{mpeRiUU
z;&}VE*1c42K`EHYe2K#CPLt9HNdmu|($mwU#tng5hM3mttJb%L1r})Z2Z{b}-1O0l
z2;9Tt;i$IIm%=8Sb-{~^7EP_4Jvcb{*fYpWSXIB0|MzEzJ^j(eD?lyOHHZmq=d|;O
zd&@PZQalwj8@V$^6go4&D#QKz=CV&f{v1IKsVG2Pf>Bw}={CHOn>1Pj3L7HkL#Mw7
z$V-Q=>ODYtf!avq<@ZeVz9XVL<v|nM+BO7z^-kwQ0n~CFbi9z(I`*r#w_JIX`Xwcm
zg!%Kn=On)<eVA3dC~BqYpH;V9)o;$W@2qV(cXz&8qVnBQKKyn>(#W^DxjEN37RVIA
zc5VY?G@`W`U#Nt~!NKEw<&6gNC3kmsvsw%2ZTc$moFqCfv41HYaZjw^xQfb(y2)-^
zT@=qxsHlAV{;PX;M;F#o|3g7>aa@4}EQ8&6gt7%2=)z{gbJ*8t9oWWcH{GN?CD<X#
zKKh2&c2Z>&<-)(17v*N99dW_OH&YEmUY=^RqTU@Z_p{C0>QI;T4cn5?)8dv5nNlP>
zOiSAX8Vc#v#*ZIA>OjuQE)swA60VA6A5Mg%nwhmwvCG*&J|;EZ8LNx(MnQG;#I@{}
zPmh;UYYugd<v9(-4hgZp<XMrix8Uk-Y^4;`*K!x@5cx>M4)bmxAcI~XL6{+d5z;6@
zj)YE*%D_Jn(w2T_Tb9dmlE`se_*2z7M<h{xxVuI!9|@%BRNeGAqwgL66nd&Cz(_%e
zK;1;@-t61W-=dc;|Bm{VumxOP;x?V-1PbJq09_Rq7iV%p#MjVSgKTode|pqEJcqrA
zt#MdY#$cHC@<iaiO4JZ}%oq^sEl(r@|L<=y$n`m0-3|P|v8o4-T%?;_nSGO`$JdMQ
zvt^0>qZ7dkHjmrSgYB#T1;p@6a&N3I96HmO$!|?Lu2nbYa(?~`6bkn{4?_jN#e5q2
zuZj!fi^ReczNE8v)l{>2Mvr&;Kv2UF6<SCX6J}-r;S8D%&bp3&4{w%_=cY}L4|}4R
zpJ8W@5}Rf52}Krq=Xfr+e0B$i2c34GEA>}2GS_=-PT+y$YvJl0oBwH---cQTd`u!K
zV@*t&_ycWIWS$WTasaXo!M^6ko+sINBOUR{p!WbVg=~ca8hXTaGMOq>jwBN#$r62M
zQ&ZQyo!_nPOqWln6J#20U@o?)M4VYpVkD4}QYaKdN3)3_U@NK__I&Kf{p?i79ivz{
z2v2BL)OEktVfS~%e0R+pT~S*4y^-p%!AY+nS=TEi2?vLBMvlXr9@H{dLFjh^RVD){
z9X3`$*q&ZKCB_(4D*f&Utj=JOpzYXe2@}q%y)aHH{Uk>OR=vM~w%3(6yMfahhDZkg
zVTd|6EXN_v{`)@J)}~!ybwS2p7UKve)ujpwdH$HcAmYb8^;!w06?M=VSq+1rU^%kQ
zt2_xl9r~wbiBL(Tei(vjvbsof{kLznZ+(7iMWVLjV9Ak$=_3Cr<!V_H@Bi(}XcLmt
zs7^;)mqf)Bz~5$bemKIv8<__>X4sO|2J)rVD80f>o-rM7<e!%62DX7yM=W9Yef;H-
zaATxU0qAi_%mX1n5x$WzJ<QOB{6riwr$>9PT%uM#60a<;I)Vm~t3#cSt^dOHSM05>
zqWK_;%2EHj1(M_siIr0*OL-I>-5nuw=&w`e|2DOjF_F#4g#2{q+RiI-om6l}laFwp
zyM;sG>yK<RYmKYao6~a@ax6EJwNS^QMf#{d<sx_>sxU`anWru<Yi9?EXI+&$>$Rd%
zQl#fBT=^rEGOf&a?C-Oh*Ol;>=_vgx+H2W2`yV6}|D_$g|D(P_NX&YMI?CPA4x``f
z&;{Cn?8m(h@^a!HA=-5(!l$^2y}1`6i+)Ihh{^-mM(6rrNl8iXXW#3tLuE!YYtd*-
z8m9e=cWt1?8!BvQLT(l$%J$b_ZG4<<5t2yW-p~b!ir1?@Kiu+XV(`yx4K3PQaEHVw
z@ndS2FJFG(^?{XoZ_#wd<>V*RjPjq8HM?h3Wi7cAI%LOL)hn|kWxnpbnEQij-_-pg
zH#hYw&#+kFv8(x!p}DzvUo=UZP=Kj{(j@|7+S@pKCqXlYK~sY=%t`NkbA*J14r$G_
zO5&5bnhC*DACT3ba1Qxev+f52>y!Yz^;7mqM8xe~D1x6jad%YBn5bQmTGcnccaRd2
zv^gZld9f`hL$n&?#pMy8R0&tRYvlhbVmB0;N@Le>cAPus*=bySGh=R?^o>MxYiW4B
zv~b7gsj>8+$D$xBocVa^jfut8$(MBj>K_lyt4e|3RTdl=F7?~b>j>p_lt$!C^q(tb
zw5*+tn*`!RbUi$NW7!T#Ngky;*FY%7e6pDAOMKv*ID6@)qo#w=%Y{`kk*JhiE1B@S
zZ<rDax>&4#Roc<t+gwy4H6M@Gy#nE<N1zcAAD}Tm{|;efbSLA%0c(OM_svJM#5R7V
zFx9Bfgge14e%O}5jL=vunCo?eZ6QB?@2vm*KXleh=PHz<$3nL{_nr8Mzq9~JmaM7{
zv1g?0B-G+MeC*Lr>lVvR^e&EK=Ur<}Adzur8X6l{ex3a7=jVYR*<WI)ikBm>f9Udl
zRjkK8u2w5e{*_Jr|D#;OzjQppzgH5p(tpXIiT}fueEIDp_Z=VjYA-J@!Cf}bk8l29
z`Mg+2SQt6AL8XDHcMhFxB-YK0cW#0y0pE}ZXP;Dme1+RerpwaYYtZ1pFZ<Nh)sb?h
zX==)s74hkYh$J*ue`J~kA`QOxx?rANTPOjR(OcG=3au0fTSE4#U-^P_+DZY45#H+L
z)5Cj1NcbiD5a5aJQ<0O8szLeqfxiCAl`FWu2s<CwHqbMR13RRaXs&h8L!>?^j0A?w
zGb|7p$SIMJ9lbReG5X`okTdbdr>VEONEWEim;4tL0-v%AeRi5`gX4Z>(^ZMTg`N(h
zzd>H~h}<~3wL}pE5)8G`;Iw@HZ}2xl717UyjXlK;_7p6~9eZ_JthCygo16RCQ;^}^
z>QdQQ{n2~GN+D~>g}?`o>q@`zu)Wa#mXZFI7yi3k&W4NsJq4cs(@QS@S-JdQXtbx#
zw$F@70Mw+;zXnueJ*b}Y=GrV>lt#oaeSMEIWRU3h;J@8ZsNNB3NA@%k;2Q28`!5(-
zLlZ$z@z_jb3aB0G{BLYWSkbmaX-Bwb@-|V(bb<UlXzl`=!kWdo=SM&wH?*r!<)#r6
zD8#HEvp@8>ZO4orG!d)>hN4c(Y~*k(G&OjD+M;?m)vCd+()@xIVrMnmPqOjHwgTt@
z0okClWXQ`uK|>h-70kcb=pi#y&SX-_;Z`ZTBAI_ynt1=wZ)&MFXa?;>nL;E1ZPWWv
zOL}bZwCz<2`z|U^L2H1@32L4YFrkQ`VH%4R4pj=MD5b;MB(d|5GA-RJ9Tuu2_ROk#
z<g^3?sCzXeB&1}mlmHD#07X>Ypo>PQ^J~zHtZ}02q42W#g1bZ?R1&Ur_oxuLYYm@B
z9Rc5g?pCp$W&DEAju5zn_x(HUr5<mBnvfyDVFMdqAZ!>AAV7p7)=MMJ;)Rs338q6Z
z-5EdC{`ASn+`QH>DHersm07irP;M3$&dqGWI)S#;Bxw5}uVp*GZQucS7t|CCDmR&S
zpzXnHR85*B%#gOSp)R`E#QURnKw8}jF>0{m9|`7Y_`n@pn>AP3ARwm#wPavWuu%7-
z<-Lm%E$Z&+IdRRbZRmVH*wLGC;oT;qQ`743*%5Qnnwpvf{SMk=UeJTiaxHa;G5!(z
zQfW&^%hY!N(Zj)$(N{`6gZ|MNq8#H?tB4*}BZeu0*#Q1V4Jp**yuIuGk?ju;iFLF%
zLdEO`j%$07Y{ic6Z=$xG(f#vQDg}AB_t(NEu&&rN48u5Mh8`#%rk&ign&M-zFOK+@
zw(BAn*c>^kRCXLxC51#L6QQZWWS*ffNI<q4EN%L!>71RWj}e>s$IG(?8YZ<@L}-W3
zH%z5w06WIE_b5>wf{MRGmw#NXZ%@_eHq&H8)&ro5(PW{W?hvMLb?+%e9Eu7GtQB2V
zTSQ|LkiVni07k8<-E|smAh(&l+u6j@vm$6^El}BUt-F{uSgIkC@OY<*io84#54<XD
z9%!$9JKln2qjqe0_9PR}J?VI|M`-nwmv;cm)R|xT-G-H5!|Mg8HxW!84eB5g1LA6V
z`Akd(YG`m3^FV&VLRVNIxCFsScI|B~j~|LcTs_)`T^Umy8SHnFUjFNc`*OV_BoCmz
zR3&9z`i{Lr(nsF#a8Z$j)c7>nht&8ZRdrJ<h_--gKw5UP?HG4dJ9VIN<gc;{b(R#+
zfq=#nq*P8{lNckpIEa455f^qec8(bRv{x0=u;_>X$6{1d5af{f6AfC<3#E{J>Y+A}
z8&`)%vMM}C&C{WAv-bs@MSoxtwii{>_v<~~$SVq>ePjTOn>CwT6QxXQoI`m$J#+cK
z6q=X7WYRpE#(PSlTP)E-g8Y92DW!0nU1{P(ans%y>eHmgCtTFNZu~5`=!Z!H(kEs8
z>lz$qr<p0A?cUO1Ozoq@g)*6e9@4;9LWeZDem5FyFJVRRFw9@8J1^ll5S-;!$hU2>
zmYDuFsN2Rr^@ZO}uzWtv8G!_d2V}ke*0(An#LZ1qVRVVxCJEm^3$p*@-v85ZMZxBr
zh9sJ|pg>ALUOgw_6WD9zHA<j0MCj3QQn<5Eg7812v2cU=Bzp|XZQ*Ni@IjWuhY(M&
zo7#5yr~CNPwxp40E*N?9!B;S;&x;kvXgKn19vZTL_|MIUZsS?RLosbW6j`+QfC(Ut
z`%0;c=iJaJg5LR6806$Sw)Ov?gSl{ja1Sar)PBaEmxJcU0wm%qAqiS@`IC4w()q-c
z9`x-sAimWZPNQ-8bSG)9270c4Hpjayn;#n-cz&FTht5W=U#tDzvv+or?;e8t=>t2P
zMY=RQG_&hshYB#wgWR7kVoEeZkyna*`NkbPce0ekUN3`db3xfywiaCHW-&3E$b~sa
zYq)4k5?tAe;ToUI8=hHb2}XPXnEpA$)j4;N`t}pk2O|)er{3$*X(d_)@usr62P{1g
z+Kej{yZI$d)ihzR5#5Q1bJW!;SvgE?#uU+9zx0!dLq=EAI;E=ZXx&NjGP7A)C-6{c
zU*3Ec6YZExqPA&lnPB96>6>M8rjJ3=prveq&eX(cM8fDt)$}Fk4QP84dalZf`su*C
zYdEH1XW6qOFm+D$;&kcL^)n*2iyFDFO531|avSxsAAqeo(1f4+$7FZm#v90&3P&ah
zpkb6BLkJu-@%3iiyD`lG{mAT&VH%`I0xeZEU2YskBMA}r)CR7Lh*pql+e1eRfszJP
zXhKOLZc-Y~?(?CsZ();9P{g-HUr<7_dFw~&+oe-MQ{pT!{>wXMP3!Tq)35ZXVBg=8
z=Shq*ng-dWE2L~{(K-ry2J-j!f$QB$y?2;)q&Co1l~~;L^T95Rl<V_~auB4sAt<%&
zS5{V*KXvL99XWRUV^~!BYEn2*KLmOpRjb9qE^nw0bW=K`yXfq_zWN)S2k>^n7=0*n
zh!g+qoufb_qevoy_(kn6=owE;?m7SNCX4)x|5))09UuWW+-PoP6ehH=JDF*BA)0ig
zhS#P`C(utq6ru&XuAz5C0g}EaZ1REEDwq5fVJZ<W=zJDG;J$h}H2_=h%730Vbv{Q1
z<wumA&j0aiIR-%l0-{_>)*NUr5vE#IIl{zxL{i&*s<vRrv#BlyYr73gr7uL)7{i-f
zbHp<CP%RFGTOTIGIGxJ~|9scka~o_x`Su2M$TTbr!p4uT_be+eUS{y-Gg_+ln^ZlT
zwODGcKy4HQMj{wFCq@;VDGKzS{u5s}@m{T_n}y$N2#@_d_C~TOfBB#1ji^;FF0kf?
z(YY9lxP+^Rad&21B)}{+qC!57dav)0wMS+`cgTyUF3`uQlHTy7cj3k?y|Rt<g7b2`
z#XRFp$_~gct9vDDIyv{7!P6_j@7gOLEGnB{doTXld5z-o@|B2=w{c>3P{l6^a}ji@
z3(#f)b0=xOVFPuoA_uoEw>+;=Kgg+p)Su$>dVw>OsXO6k5D3sd1_1iY2~d5OH|yc{
zOM@N#)<;KZAkRLGx&(@3VyuzA#zxG#IVLc$Lo`*wr1##hXhMS~6@t#N1x`^J4Sj4J
z8+qgk&^-3y_*H}tllU5v`B8C=%#Mx&Z50XrqU)T-AN#Q+o+l^oI*a0r-PgN{I+bxo
z(Nkkj_TOB18)$?Yc+OP!plQyPf2#MEnQSe_hw#^p*AB~GVt}k<Hzc8{e8sWC=V85L
zw<2ue{j#3yy3C%4Nm?Cz)SlWY0mA6|4K#)l5OamMF^B9+NK;UkSxQ+0RV}MqWD_fL
zsv;7TTYfn%1k>}NT!L<&6cyDD{kiC|LPC>;xJjJ3SrK=ay8lwgN0tYFb@rAISBn-9
znBr?lxG?E^978?eNWCULdZMw|5`;T|RmSvqhDBW0P1Q?hzc&s@1w-?KYNZFwTsWbw
zUJ)7pvl4tM4cF`g-jSfuT{L2h$;3Tp(LhJc7_Iv{_twwPUn!VKp$Q?9HIB_2qUnp6
z2p5-p>=!?H!`JY$f;9Ds3bc*BKv#45z$I%q(10^^1}DkRG_5C9EW49$^D>v%2{Or%
z+TnE73H9M-<D6Yf9vlMuL!pI+uVvBZ2YH`$LGQK{4XLBCqR{4{3{SHL%4uxmW0?z%
zN0*(~{04#cJ&-Odxp<~S-rTeZ1)(Ci$j%q)2+~ziCRiS=OC8O|(OSqb98er~hb~(Y
zAeH<JbPjt^NMw5`s@o^wK^p#8Al6yWn4wicy;x%dZR8xeGc+r#%d{GQU3!#VjX;_a
zU*X7$Fi8^{E}SgGabH7Q_XLyE%tB{K&x&Ha|BTaG&>)ts5_OiB9O~&Xl~o44>-ZPH
zK<c-K2GVr`Mf=LE(z~2@_ngK_cn;bjsKIGa3&rL>OdVojgw1m55radM8fy(?=d~DL
zv4U~Uw`o_wO*bWp4LH9|O+6XPWf+umZ&6+Kp<NvTus8~5gqOJ1AIQv@tjdV5ObGHX
zx9KPqksS;<#!iwaM*0Zy(qJF*<uW-pnM^y(V|A6=hn_lj>H|N3&TeFpf)Qbu_CS+?
z%7NV)F=9Z}NF=`?ZED?a474$%?n4Ul)aFLfi2NY*iG<rn3Ot>bk^jEEbkhN>ypoov
z=~C(zrLIN!G{$FuNekBR2k+~A`}%=BD>YZLE=_&=O3C3h^Ab*jRkWnBW|-TxjIKy{
zg(Mr8gnL_&@5+Xoi+EOGoS@OIVjazI=bh~3mz3rO&;x~;K>@XttLN6+AfMOJP!o>v
zq#8C23K+?fOpj)nw36wvIP4~`O6Au|XliC4ZbR|uX{K{`5?i^6rmayF3|Bhh-8jfu
zLDr9|rHFt)I(q1{Ay-_EKhQ)Fl<Px(ZC+m#X8cjHlajgHVZWK3f=>XX7D?~->&e9Y
zng-00G1-Gr20S&JaxQNuS9##=t%%WM0jS-u#uF~Ay18|wxBR2GN&*RRTi6bOJPj@F
zVRouTV|;84%{n3&HzsO&oVamFJr{_jT?{i=LgP*_9h8^mi);&BB4G{!gd87>=BJir
zOj%c>GXZV|k~%sSjTiuDT6BF<UF-Ncl*1A3(CP0Pr^SCL>P)=QQ8WTGnKZy50QzS$
zSy5A0>@*LJ;X)Q^ZCA!fn0R#zssM4L!r!U4n2z^Ro9D|RSeNa8oR>LRrp-@<y}Rob
z6UrlHKHq(&j5yuE;?{P9Z<=<6DqB8tT=&b%Ko1wj*b4?p?c$TP?X@qM$u!28EQQYp
z?ovb|ij*&tT7}`_s}w7t*%KBJSS&M;?;+YV%i<0d6w!w-bzeObt;cT6-lhAb4<o_E
zYVD$EO+fv}1uM2P;hneA1fQg49}~C}X!A){Lh)Vl%3yi8*ydLu>4yd*c3J%p#VD8V
zh-!Nkoo_R#%QF=)+pr=y>!7{g`hAMVpn<S{A~cGS<}{vlsNv+1*h-Tu2{!}vn8tYy
zCB3iAYOhfi$<k|~qlqQS^5Es6E|JC-w0<i_uKj1qn<m#EupXe6JdX~X4RwIi<dkh!
zZfL@U#p4q4cLm+aX`&ew?CG?m^rHcAeeKcU4>XZ8lWKzoKhSLA6>{YltoL0T+<sf*
z8@7DsXYdQedK`Yb=SrC8?5fppOIc$bt0+KHKC&WXF9W(@tOtxt(w<uaZev;5bTu6P
z8HY65we{4@n{@H~1g0jrV{+&Y5JY%8^%DOvZ&N0sd(}W#)=<j(%3G_vwS1kuFR%e6
z6d5dx(9i+!bfH1g2sx{0Vi@6D+z;8UMW4<EcC^Ew6tk(@?}AN7=IkQ9BKk=r#}|DA
z*mWi009yt_X_jV79Oe_C=|*+Wa{~4>Yv*yvLJiFO;*R1=1rz^B(&8+5mRaP|9__lU
zzmRW_6nU(B#R*eCRNt1;x{HXF4(<cme+J34MFHeTnk6$<5o80(gx&`+%Z)mB!Kh(u
zv#4eK@iS<uaHZji)YCzL6SxlK$;JuNt01vcq$>fjk}PNBO}fTqj~}Y8!`#A?^v7Wt
zD>ps0(^&)EmEg2qgyn~<Ka;&T&11*{SJEV0SI;i!I%q~o+{k_49>yN?^wDOO{V!>d
zv!uCZpAAxlaQ@Xi>1{{;tY<cKQ7>}RMjcV_s@9a9khk~GefUr<-QkJ@)Xb*wj+x`z
zZN<=-V%8v_ntu=Ky)5|hrBP|$4pE2_3^_k3)%jOq6EfovtAoE%fAm`uDLz?L)HU|S
z$<4x`AqUH!y%T^HY1Ar2Z8a&@t^o66>vLMna(68;T|nbeX(oW%nq4uhc^86oG-Jf|
zd+$A<rY89G22$f<+*nrK)KDU&sB6%^(TCXsSHse;8DqBYqMo|);dQ=eR9oJS4|Uhj
z9KMwlENI3mhN}i*%W0$uH7&8_-k94bm3+>(6i#|22D!Mc-WduC=FP@Ie3m`31Z*kI
zIG`*F;euikj%M!xv3s+$4gx?{V*($0xD92A<T4<S%v`*?^GEmw3^5UB`<BgOb#}k!
zm%=-*aIhQdNcbb^g6^k3Ssmq$%Q0-$wmkU1mhX3VBQ!=Q1tG5w;{lP9ad4zKqr3(}
zz)t~LDN;{R2poI4b^hd<0xp3$INmP6W(*8>Z~t@X$lt3)&PPq)-~YNSauMJ|Vyz*s
zygC30F^!m^mir0JU~q>jlCyIhQIADap62pe9k&8p0Md^dq2Q*Ld`T}X+aAN7U9;_{
zMq4D+>re=5fLFWXhM~n2)WPnu2PxCQ8yd3`-ONdpE~OkajGRs$=G-Y@9E=X8X0xa1
zARu;7hQjj{I`Wh3fhp1vlv7}0&q}oIOm=8D+GdPvJ#iXq6G>nXE&BLi3utY&=AYCd
z5CX^*nvZvVsw&jSzb$Z!{*8b{jKAyiB(lNrYcx4uYEeTtr4B3_cO9QVGu<&|h#O|Y
zGbtI4um_o~3JH`fvR|Elr-PXVJT+|nCp>|997Nu2+tK>tEPB2n^LE6|R4y(;J`-rs
zccacM*}mJy;#N`vh*ruDc>L7U@q~&j0jDgsRZqSGaSf`v@<P%Aj=g2;U`@}IlAr^_
zun!5Er=*4qh>8;4zibw^pVsZ89G8f0jNoJedvYTkFbB|AK;}e~azJcNtrHNy6rZJl
zlHXR8L|^>!#|Vu>O`}1wSzs)<k^bMtj#8bI?&&E;BS~QhpWLe+P|ECB%w*CzMf(J?
z5+M6ECx#~=HunH9wGWKFHG`vd&sGS&_r8e#vSbm+!9HN9Y^=}pT^qTPx10?iMnr0-
zXe2g95)>;|zJ>^l5QakLc<e>YotwUvEopH3CdN?+cEh0qQozI;VcT_`j6CXkfp!-;
zha6bef(*uVZY`Gg^M{3JVfVkHRuam(C@Ih|(&#B>&JPbNLTgUCeB!9(GXZ?^n^%`c
zYH2LA<;2j6k;=04(%?y3sJ2n{0iwb4OYrmKii!}9?e*@3+es<OmRRU?48v+ws+uk(
zQ$C7thFQ^Okzb&w7Bcq-kO7{njAOu(s{wU!9oQ|&Y)M4vg1mSmh{($3t6+HjF=obD
z^f|bP2-yUuMR-007x$r4U>&%)kc{A>03ut=qqN(fN06ye=%yh~B+8@PT|uojU^}T-
zQPXL(iC+qGXg^=}WzSzW$VsqPG1D-$8+DD?^%<v<mqtZ{;Gu|20$lW$rV%71dZPf9
zi;<q`sh+Ke=5U<j*#rY~UL1o+20<c3QxV-_Xe%TwGD%A@?kL-3xo`vNMVU-ABd%W|
zs+m-h&B1Z5YUB4$LXx#C(E`1WoS#~Ae@2FefA8VB-8j<Xyg2;p90@X1?Q30&RkFma
zU6d)P2}e<G?1b--KYET1`%0JvzP*SP%hDbPNke5b2ge6e^X#3Q0wZy)BF*s=%=)Jx
zD`eF2X&Fa*=$?q7pu_`tla^@)@pi<RKD)8lg{pKI&vtU5J&N%>H1nL?f4LJiS`I|b
z<ann1QArD~&`OX-ZBeseI!2(NS^*fe6#3M#ur5dtn?0)~kwmQAZPR(cvj}m7nr9Ot
z)$mMLFxLq;=!?1LfK0nUwN%E{K|IQb^KB31v1yzZ2t6J6Q(x1$9DB#;pZ7RElg9qj
z`C<<gLnjuUXcYNKP)%xgWEigKm^uKA?=ntV9LcXSk#9QV_3oGFSI)V<Ic3qTQ?Iy2
zSO1#sbN@=*hEVzSud~lZX|Fenh&TSM9uc1s8FsbDy3V%ib;pxax^CQ2vpDLv_~RcI
z7-ma{d;hTjTLC55@tNN%5Sy=kSKU7Nu9y7r(D%^w55ez>reBwQ4--Gn!|mhG^B?{t
bA1~%KTgaF0yC5uszT}|7QTfQ9&t3mtW@IF+

literal 26057
zcmeIbXH=ExvMr2l>K2toMHB=S+em6uf=JL7L`6|la#9dbqDYizYpY1KRX{~VQA{Ms
zQ7{lxk|->45JZqgl*}T0vzFcG?0dd(zj1!-eeO5L-Hg!<4QsvYeV?bEs#&vURbM`+
zuDW0z-#iWujs<&mD<9(EnC;5JG1KJ7IrvRo$h|&%n`5G;s*LaW8rzxWjc-4l+O6xr
z!69&o{+SWf)^Enav65qt@{S{}x4Rn7+zvKtQ0nXL+U(DNj&sJjCmHuInnXoD{ypR9
z@|&!phIcU)qGDnZ#iF4ef^MQxNun_ZdRt0<o_%_c%D}qoYjk|)JzlwS<*&u3OMAHl
zd%irIpLF}vsRg|wOsV)Pr_zib=2YoTmf*!Q{3Kq~J}}0<vz1%hqQu!hoh{|=`+<J?
zW$z14`hI2o3<>(aJ#tnyedoBm=%4U{wO=L%%7QvOJ0Hiz1zr;JO7Cb5;*;9Q?_HaG
zQbj0Y!C@Dnv=|}ArHFxvv4Q(JIf_rCqgyX2O?<LseI6LAwu*lqnVBi4IGhj^+d6Ls
z2glv?S=pCQo;-Q^;lqa~EG>OK6paV_wf!3^Dvk^$)SPk}u`e1w<~h36dpIc~V2xUc
zvZtr#Z6}6qboXH`t)(*cr*>|UlFE;m8hmtP%gGONaf|SvzN#-cw+H=dQ=6R5jLQ-h
zHtDKP(9qOODaa8Td!uU7`+OwO$LH_?1t~o}J;t5@yyKwt4~>GIgC7r+i3fXiB^2&8
zR6m{VedP|%W@jdo*_z%OsBblmYl#aB8+i^@iY|kloUQoLb@68BuIe}K1Amsax4z%W
zWoVlF<;$0=#v8*o^$Ix}xO*!(U9yPqlzzDH<|1zHP(x?kup}4lYVYaE`^LFm+}!>7
z5?<w^M!12izckNYdB%8pyeet<$)h{9aW?OYidwCVS$fLK#o^nk7I0v#c3(Zqd-lQe
zu`gl$kCY}i2n!E4xHMH;M#t7Z?|!5>^d!b}tSyu`YYVQ|;rxRU$5rP-0hi<54rK~y
zJL_yyDzy@d#Iux@^A;bF=Z?>va?`MyiO1+!+uZ#}p^&$H){H9Ou<@9;YeEgK4#i@7
zd5t~n13dZp_!7OstP}TqKAoXCe%pI$OgAD}Vx8^DlW&b!cz{0@yx;Gb%Tw{J#VSZ)
z_(au6SW#Qcy-R|=Wu83_2@TG5Du#xJ^ZB-{SC{Y4yYcI>SC&lcqC~TzmOJh}mp>j*
zQgE(5cIk0+v|ou#ll;PMUC%}vM{;=MpAYM06})X9nB7$NAxf<(v!o^8k2CdTY*u4#
zD(=K}uw1qE6{m#1=SYK$+enXql$2C?nq3oFSPP!eKg>3B!@~m+jXf!6jlIU&(uZrU
zT08Cs1&%!L^{jDa^<>%IcJIlsFH;!FtFy~}&d9uT=F83WuEZjf(Y{X!Umu3;f~9q(
z*4f&Re|=PlPvKp#V1eP(RF!#w|8o0$9__rx8uv{GN@RjEGc!kD%vJo^BHT$!exmPn
zd3}9-w-lLWTvpGm$@<*Ue2F-xFavR3p~()_B%579f(<rSTj|);l_j72C~Pvu_hF>o
z;lOSCg5{DY-ruFg=uWK@FI5<+A1zdxN~pCrFTTOHpRVU4jS1zu_*I&6JX>3Zrd{h@
znmoG|3+u)wD?;J~laxkZawQJ?aIda?-o&H6tvfl!b9!>b#nl})vHpp?z;L5`Z`*2N
zA?~s9@o^9FP<_)TugP&U&(*@-ANR||CiLQ11P^WNNpIDvYtJ4iEgIi<<JWu5DKP7E
zp0V9lWW#0?+^csTk3SGDC#B@lQ$K-^srVx6-uv8T3ifDI<?ez-{cL4rRi#(AXI=Pp
z<7`*^Fw?fv8Ru+5M0FDxlW9{mu^ywmt&>b2?@6Zdm`!TU!v<E?K<T!+6?Tjm-LaVq
zW$!k$Vn<^)?Q(E%m<r9EFw60tp0aAlfk*Mi<&&B2Hq3Ox@R}rxb~qQV_>_xNldSef
z>fyC<e3>nk+QucJp`jM6Nvu(|`E;+>NS1DsqUZQ$UNOB2o0M3O(i|AX*o>KTlE-ok
zJ^J%&dSeR;3MT06nNMT4(+rz-s(P2^%bGWNvAVm4o<4ml?JX4l_WFjyiIThgmz96&
zChv8<7>5T-xop$%-O8d7+~b|m@o}k5`gYG#-nHfAP7TFZ$@a|TlE0D?wDrpk;Ul$D
z*VgX$rOh>R{d7T^r7%#uS<+*)FQxQb*5C&<vQXQq;xhZzg8b5Ly(>7Eigp|<d2&O^
z+iU*vO~(TY)m8W3k>5IJ{<5Eg6vt157L0Y<dGoKked@R3I|}Zxp1cx9D^!I%9VZ4K
zDRqBP)E>slt(miM#j*o9dwQ(WI||!|t4)J$$l9A|Sn1Tf_<bg4$PC%>j{B_vGL1Sm
zO^+hH<ivAETe|x5E-yB{A0XYy7}vs?{jCcwP|}JKBhB(0$!ZFSnE1S|{KJPus)A>Z
zPjp!*StU)waClT#*ei33h&4*G>K)3=y3cbd%D#K|PENica9hufly&=WE!n?+zv0uL
zV2q44GwjxdJAT-s%lcDQP}e46U4+LbD=xSR;gCyn0|Ek~yOnI~(_@}v`JK`q`uh5Q
zce9+GVOvff8unnuw?}yAl=SBeMoHvHs`#0_xw1;~<c9}3>8FmtJ)E$$4GcAM+kg*F
zkLkrBGnp9ew_0I^f7`bOYnunLMtX%tn!LTG%}q^Bv-@6g+E4TsT6mIom&F;*>i#es
z%)^?rD$>+8<WUO|z3k(IC6cwxogBU)Wu>)6T6&jws2|R>TBvxyR);Tnuep>~7>|Dl
zjns}eiWXqDg&G^RB@V`Ww2Ab?P36Idtqv_xQBzaP9%*#%Z}F2TNVjioxw3QN$)p@Z
z=bAMI0sOq1ElT|_UcA`VJ~dotS2)_=Y6?>?9w*Nv={+@}p356sa!X2Np=|TnuGi-p
zpSu^vrZw`BE8ij`ql){<_v0;G9VCC%^UWe|$<v?Tq=;`T*EB8ge=FW*hv2%COTjUC
zjqp-&gJr8#1B(TxN4%$9c7!){7a32T#?kx*ADeq)li6PS`E-WCmMvTIOoJ4b&YUy<
z&A3;OLxf*anc_A<kG_|W<Ku(sY_r4~-I%c_5WPb}LR`C3s#-o@J5V~V^zF^+{))o~
zc%n*81d|Rw-1oNj^~D9uBMKBnj%aF{1+^F7{P@HkW^nhHy}w$etGf1Nv?r>$1<7?j
zt{mQqGcmyZXZ+*GZ<P98%+#Gm2z3t5>CIu;4!iX>KCg1UY40xayW-gAYe`-~^51r6
z<;F8Y-Bp#Rl0T{!r6niFBupn13Wg0SwD_#ns(X}>AlZb-5YzPj-p)D$^-l%-cA}3z
z{XSPv$0pZAqWry{MN{r@t#h4CQvaj<VT`Z#cycc+yr``6)MT%>i(58uj;zv|Z=X|)
zzBGRLa8>E+gKLSCUQGQa%Or32z&Zo*&?dXw$wV)L7qt^NQ<IZF7y2*1Hl#E;__1ng
zfpa;+-8U?)XKERoT>RZT=NHPYcenZc=Ff0F@w@l66fKmd$I9aEa~;}C4b5uK!zH(o
z+o>EbYdbx*I#5=a>CVu#NYPbuhf9(-*B6?ZJJBYwO`#O-JUn0k(8I}X1(s8%3jXK;
zkBecDj@RKk!4}`z2FALs_8jnNSxjE0E2Xl;(G&43X}G^osOd?OzhA6fQ;t1czsi}h
zTU^)Jev&oC>NW1Rt|Lr9``gt|(a*`r$!f*GZHLm!uylF%iC8<&==)LeBTL2fuBW&l
zgsTT_cIvD+r&h5}{r0k6?`hUHg~pe2g;vZJbZyoP%Ki53+h}=^*L8)dPh8&BUp?b~
z^&B5`#i3g*9QpL=M!e{E>7Z-$s<AR}!IYE~Zf<*KY??DGpa~Gtv?cFy&DQ?&LK7?X
z_1bP(#a(`TZJnyJa)hF1OHWp>QG0toL*GuI%Gi67ZzL;!seT?jxn5sA0+PUU_YotT
z>BPju(c!e*aD^$j%(^x{KhNUQ8<MN7>@wOy!UZkDY*OFWniD|2vIw3@Q&Te^7>19V
zJHtR6Fv6&BJVrMu@#o%a5fjG;J1a#lE)?M7zMv)<a|&?Myu19qs*84wz_-eHuaxG*
zwo2WE!Mu5XaK}+)65eA)F`nPvt}DbHK4*BQEewosZMh6b^+_*n&s!|f?G*39`$A4`
z%Y7rJC)#!0D;{giR$J$o79d@_p7TqiYioc`s<m!tLDuAOUDB`$ui+9Lq_=u$Pk<BX
zK)O#%Pc=<54=w0U$Q*LD%NhG}&dEi{t>a!b-kSA1B-nGT$T$$5Selh=)Oj?iMB0zb
zd-S!<u-)X0Jiv7Av0tO_`+63q8Wp<16uJjx^=(o#8Acz+-@&GyDK6@BehI+&HD(fq
z#*@u(Gi*eJUMVcBF8k>ZA0OALvG!Kr5|NH3xmn#^a#!;icjN$H@58ieS}QMjh?tx0
zT9RX7Q{z-+$SD}#{ZQjc27p%L@N8a#pX+SW3=NzrHT#P<mpQI4z60;hP;9^L;H%Yy
zQ$uds{^e}myuMGbO`~H|eQ({mh0H^I)a`3jXrfJK=A0gw<LwmvvSy<&F3*mgy6!eI
zvqVFJt6FU)8;xBWoS0iq*u^TeTQhaz=B_yPLeFA(yu4p#w9HD8VaY5LF{Y0WbM7IV
zCr_Tdt!+?POozyK&x^X*a|Ij^GHeCj?^2%lB9nXBr)~3Rz|s*F<vdlT@$#-A3hlbA
zp(^7t+e1>oY*I$z&*M^Dqz#zM&x@2Pm$VP`2YFAdcCT+#ODHNTGJO>8{7x|U+dGl&
zT5+DN?o@q$Atl95CUdpP*#1X3!zuCkima~10Ieqndm6TtZf(DPL;lP+K8t-{2FA{*
zHMrE<7m8N}Bh7diX6w6Oy5<)`%IQ<%%+_*Mp@0mB_Faf$z??iDDX9;`=B8>h!^{NW
zs5Oj@g@%TPG_<wp1Zx~Ve9bdu;Z6OfpY03<*U2=xnpz{G%`Ovwwb)}H<CFNb7<Y8b
zVnYp1PJSxRd@oRF%?#smUgKdq`KiL!ObP3=a`q36;;z%ICZWp8N^b5N0p@C9WKxN1
zc=h5R)yX}}o}OYQIWw2X#rEnMTjuL1IkvrU0hX{FN!7PbP+{0AsKq~8w)OP!;s_<B
zo=j$(Ed2Dmb7?@bGPW?@Ws)Y!gI_<c^TJ2OCr-ZWwUG>&MaaBmbHv!b(ATwr@7hiS
zeOy(rwYK(0PMCLfjauZrd#m{P_#)x#S(XBu+D~U#XE|*hz^PAcPMq@b*<31n{{hp&
z#j%N*$>@<a*N+d+I{NaQdeFd^Fgx?^VbRsdg*cd;GwgV;hlUnP7OuFaa7WI`Qdv2B
zw8c+X#|im{MZ7lL!m&#NOSvyF`%-i4%L|dn+QyzS)Ze<jbN9h46D<ejPomG`I=b}I
z8loOPT#Hm;@koP<F(m`=A1&~#K_At(iEZ4t5ozhCR~Py(AMg<N>N_vA#5(Jnd);_}
zO*k7H1Zx}JR1j43fP)P3_SZJ{l!B*!PLURnW6VR5RSTb-m0ZTdxD+<exdI?Xv+vVB
z<-84#ZktRpq?fR61o)iOtw21%X^yS>W@ukI8_)M(`-?i2*qMz=Q~g2Q2@`RBB3)U%
zIkP8~hMpWy$@^xu{7Xp~FFc-p=_=v9sm>NI8$?7zZe&b+E0RdF$}$kwewMtGsq1F-
z;ZC2kr;&bAcDDRDfE41RYds=Gg5%c@lxQVY<@Q~WSW<jY6mOR`Lh@1`HQ9s+tIPUh
zvAPdjcOk9ZGTBo{E2^qg&zu?CIHTeAR)<VH5Zu%}hT$DWPq!Uc>Ko%3GVM%tK#0p~
z63@4|XSeJ!1B4`KBi`f_^JwF+BtLgTnIh|WxA)XQ1pIjZTu1JNcOUriu+J11_c@ni
z$s<y{`~8fO_{JmM@X^Wn<F$F1jn@0zq0Hw86vvKd<MC?R`gUGgC|0|#lCf98DrLyM
zLax}h=$%Xv->*ksZ1iN`)H~}k>la@?K1#Eijt%adjDGsmms2A9S44ta3M1eScn6om
zav3>84E?O+T!ze??9W%#7;@2+rHkD#YtWo4<k4qorQ0N`^X%?Xg>K3QC4nleJ-_Bo
zcH7y1y1*OqG<(QMGN{Jq)mfLef&0&a)O4PC#V;oU=YcZz4iUu3`Eatf(U~=HK;HTH
zgB1C=qm2)^^fkZKT|bu9G#S?%_zjWUqr6kkejv{0L%ea_I4iR)M8B42o{@8nnXY^F
zvtw4-pX#ox+L`Fg43mj{3+qW?C~`BaSXJZh24jl`536roV>OL9z5d2fy+*9X+;|=R
zOfl2K!0y2ut#(3LwV?*5_q^O6&me0-LMy<@EAH>(b3agSBl#{Ohb}K(XU<$7B(P1o
zAV|pg-JvRdAeYs`Fpu~c1^bpfb<dR_$InN6dVNV1(Kgf)q4%s4T(63mnVEgd<#pyk
z1d1%WD`Ow&8yN`##R7wG>&@Qm1uDoaKIINiwdVP`T&1<xe(UmrZhwkN<AYzXDJUYL
zsms1x1%N$|vBp+lIIhcQb>N#?UPDKXmjRht&cGE*>+9ph8pfu?^ixH}pAUX;p4~u5
zzG<?@rKUAF^eM6=g?T?T?_9X`7xS_^4No%lf*gv((voXjUj6Y?e~Fz}(qWeFH6-Yp
zvplAO!hL}N(%kn1=q8!xYv+6mj$|as;n+G!XSw2S{>GD?+BN&ycbuP--<{TUXGlQ7
z&GBVGmQLJ_LTlwbxFEsva~Amew87eo6IaDr_(z<2^;38po!PxRUg*!duNqWZ8*9<s
z4PYDHoomw22&m6n|KMbMxQn>n{#Xh9DPm1NKHM*oKI@Djvek_`O+x^ALE$cqTi2@J
zzEKib(so+X;Y+bBt1F4qT#<`kI%Z{_p)T{+FLvH6{S^oRl0aml9X3c5yeC?PC?P6b
zZgIQ3=T;VLG7F)L0=hleu>vG^%K$UXQ*EsjBZ4k)@)kVUbIk;ljW79dVPQ)vD^tKC
z@nw%<Vq%Wg_#w`$POUKyOK<TNG5Jz_bGDQOmfh$~TW~sv7}LRy^5~ew?zpmfw^dxm
zTJiMebCgX8BVo$>HuCKPuMzq0)w=>$=q8Uu4vm~9%$0N$$LVE9RlITisn-kW$<A@j
z=Hur#9qy{J#|sLGpJ{&ad(EN^4Q*c^MFgseXZ+%h+>VR4cregM792-nYg$4=xm$L$
zMzN{$1weBNs{?oBGhR!jOiem|{!`WYZ{Eak7}@ye)sfB2*FsZ$e5_mq-snLgDa#{S
z!%mH7+Rf@flN<|}3=ucH6(1XGXr|QG);5M+@PKK1AvKM*mNCimiRrC)a=1?OBY<GI
z&1SpCY^mWaq@LPO9>vBJ=5H^H$Yo4Mczk=?E$9H!a(0m4<W!34&Ye3iHD2N|MkHzC
zE1dWkF;(%YA3$hc0n*%3<V8K*jZ;Yxlh$5UhAt(7W$>f{Ln$Na03l<K?zn9<*3_*0
z)N28&@2TdBoVip~=Sq`xQpvo)`%))QoOojgIHKD$P^Oey*ZHn}n^&p&jbB$Wy^$uw
zr+6b_eaXr`{`RWWaQB<CjAeyg^RUt<t9lzNZ*Ft3P3=ZfwJli;b{fM~+$?skM7mBi
z>*a@eHnESg;0RU0Q*qv5RXkGEthfcUXeF@THijSuH(p**kz8uA)X2R%#U6K_V&z$d
zQzuPaR~XDok2Upqozh!#mH0jJM$cOS=zT#KJ~vEpZf9v9KD-zyMpKpEz&t>AUHQ@G
z^ERc&1+gR9;8A8X|8zd0qM|Z^Tp|#w<{9f5pEKT>{^=rrrdjNVW3Mmfchw}Z*_IJ$
zi#un`_ubqS)sX@QM`IEJS3YcyCo&oy(fq_jtn;}cSLE2^#Dk<&ge01*ND>)jR!M|u
zPJw8QNz`)E*DG5)#YoGkY}3O+95r0rxAg5hnIqdiU)fpP<^5sLIv#n&j=Sf54G*ob
z&*Sb#0-7gPWw4kq=1aNss7-icoo7dP)B_*eQ=)Kp$N9*}NMUI}e_33krLJkpx%l?h
z%`n-(>J#?^YNgC!S8QOq;qb$}8jA=4$}W!_IiigGxb=o<;AI2~sV}AB{FHbfjD@4?
z2GHscYnoU~AwI3aS$_pEC9#d`B_x7~!IE=4;ei+$^wZ+CdD&+MYEu*kz<%-*L)SXi
z9uZ{cH4r8VBc`O{J_5gVoplnu={DF2dl1ce*t6xq!NJk~<ykJhl+m-nJAkXo^wcE1
z1I~Fd99bYGhmsbhx6?Z!{Ss3wvR*IMx8}~Bp6oR(y}i}`^#YkZcsYJtem^~tjg3uL
zN|lj465xD8mj)hiVm?CCqlJ>EnqSyHX+t<EvAtOR=s*OK{fzPFT!QklAX7pW1mR<g
z!(`(1JJob018aEVvcJ8HnZ)TyHe{8x57aor-F*#-QpJ|t%?fTC2v2X5<%qEu#&WuT
zxoHuZnkwB0l=b+@laoo)twBnHtlnI2WzpOWQzpMTqSf||#m%$ts*b{7R&aBJ9i~-?
zNtuSbTE@*i$r=ed;647aL65MABQJ_E3a>zU-;A~KL_(u{`0z(Qmf}#wVPZ;<R@kI9
zFur`_!fOe){P5ni-eaIdLqmgmpuH@J-!9ue#q-;k2T{b_2_DY}Q(|u}#A}(Gt^O+N
zyqj-ySM>}a{C)V`B4ZKToRoVNRL**^=fBp2VqX4LAlmE-4wHjp(VAuoG#tCHpXH_R
zD>YC&z}H#jpZ;kt(A4ex;ZPF%2#P!#otDS!gaK<98VYc8gX{B}dcTK<hetzSpP!q%
zq@*Olx+Zav_N<c|VVYpqeS8S`f*8Z^zCH!><m2O^C<Ib&gT2(1IHTuoD!RJ5%F3cf
z+39(e+cV*2?&I_b3&R`pWf;We@g#^NQ!yJmtooDdw#QLXDlgK0fAaXT&%1YRkKQ54
zoS3-BsdZZo9;tLq#{<T+c-!f%?TZ{=`Z~OA8htMXSFXFh&EQ;VbaZsll#L~*MbKS~
zwDU5LU=zREh?Ub~{fp{t|FV+aMm59j3CYRHd4#fv^V=6DEr!^<7)O|@Hu=c7TVKrN
z@<*-jP$*Hh90#{3tZf$9=4`$1)|QjOM7HxCexx2iu4by;dum;3{pq4bN9M9$>VcOw
znD~jYb2dbF!32;p%Gh-JNJ@pgK|TW0Ew}H_=Pf+o_3hev<O)t1^kxo2hAE?20W4b!
zqID36eO2VH*Moxz8qUY@rjtx=E3MH@1nA7L^AOvPeIpBJWm77D8N5E=J}O3P1`Ftd
z+wHA?o?&<R@L_2O7eInFada>^?#j9q^JPb0LspI2lRx~|R^+iQe^ETq6=v+KE>Q{M
zbcMHC4#L?BHOx0{r@6T$kG?oN8b3WAUybToom7EXTK!d<ti;KYCZ#!Cf(9|C_iQ(7
z^H#qG947Piy!umcnYDO$#Z%|iEhl>qs;FFW_{sNfc6NQnEW?9FQxSgW!`0rOiJdMx
zf-^AYk@H98v$&Kg!&(gm@#X+B{|&D4sI{PGz-xj~8GubmvGoSBRCaI}ur%hEcRhs!
zSzP7GwZS9W+G)&XKh$dBQ1pHJ>HXFpjMfJxCT?m!#8qBhy{sriOvGt9|820)@fB;V
z-vgw;)1^K(m6noH0n*SYJl>5m&7sak(kG&(>N2sMAM1wGrwz%k_JHQ`(GeUhy}5av
z*Z9YXf_Sf?Xjg16l~`v-_+U}rZ<Zf?zf%(2{h`nq%!)UEu5N{c6YIPIZ0ZLO9rxJu
z)wnGn5p8^EroZ}E`x$mtIQ`_$*;#(1pSbVx&E{<88RX&7usTE3+pKQSnf{&2V<q^;
z3W2u7JC>6tJ8*W9@F(Q)?6|d2MC3krA>rb<-{by@XmA@is!?j8A?d=qs}OYIrID>H
zl`t}Bv0OjL+xXckOE@Dp^-sN=(#mi<Yf2_EPv^S^Ep*j}G5Uc>-;{%>RJgfJK8bO5
z<USHMK4bml6Mri4N&gyKC1-7GJ3Men9c+Z_rQS_{YXNj$)P4BSVsMVV=|40Yh_@S@
z6W8JH`!a9_TafTDYWVItW?*h?*6Am*51v+d>w{Eqa;qziZw$L3)v$$auPZhAm0yIF
zwI?~9aREWLNSnwBj)N-{gquBq_)Y55?fVh<cw&NTD=L;y*}%@DmB0UknuH3%<$NK<
z>_39po@2>@Af5ARQBiApP|QmQ!mX-)gc4dDz>xJMMLv|VhkVY09?!8y4XEJS0mbD9
zlqMZ1C#Gz^8b{dVl7O=hs7DFK!Fyadf<dFs?1Ld3d1+QQH+Qdl6RU+FhiTx}hZRwD
zO^%qw3MLD_$B+eo{_BFu|3KXO_ecDXL4^O?ms&F<^K1pal#%W1HJrmd2nWuH1IJ%m
zTf0bW=2uHk@k$0`7ee7r(ZAohhtLAugJI{Um1p2ROQQrM<Kp5f*1V8IZghCC=@`FF
zvW7<C`6buK?U)AQRbOppXA4{}YReqFc<m0#sp}<-6>FZuGa%&cHQ;{m1OT1W$pJ+_
zDXCyM%)|I}g5S!@iV-g2J9uS7-2|t#O?OrZc<al^$nZMJ@80obT2SXt1*eN=)6OGJ
zGO0;4ixNNY^ccVyQAJpo$XH-7y%yh<`w{%$7!iL^6cM*qxk43PAZrlo(_?PP*69|k
z@`H6V3`#R9c8=!q@kc@t6gj=n>collovv5T9h$aj2);SM_}4?#|J&{Gp9lK?y^{au
zoM&*9_+1^!UvHp_F#)bPfEe<A@K|{$A@PCsclU<^$r<d`q0k>GXdgTRcwq?r#O>4X
zHbl!SfuACw$iCaMk{1{7FD1qo4&nOU-{{3>TbSH4?BFB1(we;3w190^w+WRNQNlfe
zx(ryAwQ<jfYbmvu7_Z6=gz7AzqU}2>Q2{D(0p18C{3vN%{jB5TqXXn^a6x#$Jk-8<
zA>TNutXzMlJsh>3LoJr<rS!e8IxE{Msr`=oE^<skDt=3Y)A_#NQ1wbeTcIgdmX>>U
z*a^$_e!%`-kn}%ub3?=6gIw}Ip;XISE1Q$JQ3%GQg@toaut>HF0~J~~JIPC*AKXC~
zh;EhWpdn)rNeuW_ao73D#%IR76%WUN-bP{RyHoBtqNP=^i{IwRE6ckUfSxYmLqEq=
zAKwX~gC^WCD%mOmT!#*J=EmwzM`YZ0b9_Mpxou5j>VRb1>?<@>Q?}iB4i+ymBjZd;
zJZhLi?-+w-uMcZ#^57Ct;xn&mYiN9WeO0gp3KSp0vzhaC9;Mb=Mt4+3YiksGfY_@S
zIk%vcXk@A&Y81xAbd^u%U#LXhvEFT^J_L9b{VQi9kzF%+>i%~`U+p~!KEVLoTYpzl
zSpls$5n)f%emE=GZlT1|MLrl?VfI39s7=Cqt0Ht|OPz{QgOU*hQydxi6Eo|Yy4;3^
zN)vs+`5bSVf6lPOeh{_O5AHnw*|FCx0P>yhqh81~c?|FwGwagqsPM7O?5Yp47whgX
zNa(4qeOct(7ELWJlG`bZ8Y>pYl-)VDUpssIfmE;sk<$v*)zvz5_aInQltNMC^OX~P
za2K$@qx}O4f9(It$jEqb(^%V_Yb5=wi%L4HU1@qNN!`*>fsxC;n2%ZqW3(1Bp;;dM
zHyELRLL}mN@}2y%+YV3Kp(~0KpTWq0#0}v_|Kp?(8=ucbT%>ES3@zfBH2Ahkkw3CW
zHdHQBg!#tBYp8MPAoG+9G2T>DVz|yC6LgCa+<aapqO1@+9xn+~DDUkLu=CiN&L&(2
zPbiqovBUd7<OUT<<Qn|-Yghcbm-t91p-|%>CQK5Ppwuws+VfY)o-zz(=d15++)xA3
zQ;e{4IOZvHo_!$Pd<D7t7B2gBC8cJx6Zm?jKI9|yow<=#{^wIU|Mu$tY_ERAY=iUo
zJCXQ26c;XmUX?K+3qeIm6(@JYUiQcB)+(RbNX2d#$#QOPwuC@nTWa$VX$9Y|i!kV`
zUmIq<2)ZQ$Yy2@^oXx}BE!;T1Xu;xj>i&DKt<9$@O@!z023MP&`i$s5vbedaY!~G5
zc{Mbv23@DgcwohmbF(225lS2e1;lBTh1#L8aLd!^IA0tQ;;Bi53h^@0*pN0J{KxmP
z#a^Tyd1(bLjwh<Sg;WiD47QC#3!D&|QYLB=%1&tCoAM|$dy<mF8RQ$|4rGqmC>q$;
zo_qv7lDBhKYv4BXZjw6v=i|7&sC)nZS#3KGiMOh99;)$LeI7`98F#iim?spm*Qz7I
zSFmrmw@JxL!YEtTN(o9aZf+7kFBt^!tLuJkzw`#@t?Z{&pk+mrl(8x!H4v$;!0v#G
zI5!1Jmoq~V3N$}MqFOn&2WbwTbt%3fsmt=;T<SwLSW+)gfTM`1f!OulJHNQm$A@^|
z|G49)2JWGOTRR`$H=#lxlo|z~jCiSXX~gQ(&duCA4Obv991@?;f*2sOx{ZBbgE}e^
zFX6ZasJhwp?DfLwnmuREOiZ*Z8JkTuK;yZERDnJ|>9~b?w&`sDu)WS#@w|-5SO5cx
zCBY<%vOuyI;^}MqK=DYg-FE|laP=<#jzDxg;L9z>_9xfX!l-VWyf{0<hL~^9Osf(0
z-xQ3>Lr<`OI@+*)e10R{BwQja!B-@%Bh`leCuv6&F4x?F@Ltf_hn16+V!Df^*?-`d
zQzIEVx)Cg&|LCe++!%{=#eNO@S6|nkdBFk>Io>VcTz&74VD>K`M5$TzO)-t9sRN*|
z-Zv~tMR{L@qQbi(?TA%SbKH=zGctfUv&I3+#jd^IH;@0i`0VVgu0*xe>{p!>t_Apd
zp*-#Wk3V0PDE~P@{zsDZo3OgmB%C&|KkRMChxv`b5VpZ<_%6<0z6h+4u<%3BnMkCf
z8&YFpMBRouc~Bm>jEI{qV#a=x^_9$Q<=5{Z-AFv^0{+Tyxgh=ithD2XX2Wn;Lsa!n
zHoAGnhecrxF}1r^v8_=jU<g=)eGNy0a*MvW_fXDWTX!H3wNHsVp2Ib+lS5V78LR3#
zNovxdNi7U8whv-6di|GgZn=AYp)bzT^KBQ|CwgV(s%AqRLJx>W{80q9C|e*Pw}s?r
z&`akx3ecNh%!%%p(YrvV{>p_cipZ^02u6`QvpS1?N7c<dlWVO||50V2c$jq|i{8Z1
z@BnYZCngS4k*@0#`=z5wc$m5Kmt9E_*|^bHL7x4}=|_0w4N23)VT9EG<(KV>BN;IY
zUK67xTvW>7crm@f?Zq}6r%@bNA#QGxa#BsE`uj(&6yE5k(9Dd_6-1rNPb5BjQx0Se
zg)rI0RR#|GSDb#ciY>**(F&^@VOGUguVLTS;BLCB1$?9@u4x63knPPLsD19K7$M=j
zhkc6*hyGXdg(M>T`~FNvJa-RDN{k!em{M>sy*=aQGH!`qIB~UEQhWC7-0!UMY|DP*
zxUlH8Uu-{wJTVJlu90xvQzRN?=<+gVUrCYW!?k>GrMfR@pZj*sXXP8SW#%`wvMx!e
z-`)J;#b$@mlI$jLg?9Pec9)!vfo%?V%ErQ*W^$Cgk#81|w$@=7vMuEO{J&4f|F&1>
z-NafeS}X{SZTtIat1ea^j|YvL>D;Z?wQ2oTWY~{!rks~w$tF2D_)kB>Im>}RC7geH
z-;?RYT&mzcT%3HM_p;+Iz{s0HYa%MY`r~Drh141{or;o`cJBbN{bKq=iV<g+m0xHs
z*f#|!w;xthOwmi9%e5-bkRQ^qeDU+nM<Bq!+2H0bhws&FmvJ<Yii*0xasS@Em+mL$
zCP*1~{`M5Y{lx&gH;2Ct%nsMsx$}I&tmP;C5|YhJZtY{8UxEiQR}9g+A7fo)T3bAm
z6og0bUv_}s04iKbq^zrLljn%otP^#aDOOc(_nF7PjZMs%(c4)W?f0FZ$o{zxcgoP|
zTnV<p*YJnrEYvNFn_he9{$^3JG$M9(w&N~Tlklk5Bs=_TO+-@)7%|JPoO!VgN4dl@
z?L>Jb*+~nv6LjTHPf^j?M)MGxaeZI2q<gK^bGIR1bcL*g(qK8N#x5(oC;HLb<EQyO
z0G#$++P6y?^73@_hrknlx+E0XgfeWt==Y<!L1h8l=`dW-tKl-pR9bl0+kNE*A}TXJ
ziv?iJlfXXSXOovGG{;6qi&*QQXV=`04j>d7dN(vcqn+&Yw@<YGxL@xP)gNm`4Kug&
z;GSh6jht5&pUb}K7X@a5eOkcI;O(P>_#qd&4cUn9U%~YlkLTr!SFc_jEp^FROhTvY
z*Oxpefg{J+<Hr@xkE~M~+e7A+ydV8n6k^!@GcdYHP(jR1>|-RCjji%Vb*D5_js1&T
z$M&<a?tj(>gU1#v5JRI5NesEUQ9b&zsI8V6#XhHU52V9iW}R+(mk$2e6v877G;P5e
z(T&BkX3ZK&$By^uuwIjVUmhD>_F8SfRB1k=7Xg_U%6(JFjkijoN`#_e?a}Gto10s)
zwgK3E5(zhIeRs@`IyQ;QujwsNC^a-^Xx!gLfFJ4+c3+rl$GuCDPo8Xm*s>M!bhLg+
zczoit(fGclm#&|Ak>xS=O%~Orc|m2et^UY#ynZ&!a&EY52v{*u=slr2(V?p3`@Ll>
z5N#YCKxXJ)p!IOveN&?RSM(j6IB~+q#|M8Xgy3fE&r>pNRkIgh)Kc?aX=&+#>4~!G
z<9`8(OTmbMh;^CIJR6*<RK!E;POzfmbMT)eZ25;5Z9@;+E9YFVN$HxL0}+ZPg6uqk
zz3q&uD&AD6Gh__6zim=O%TQ6~_q|;xGH@2QJ0fNc@Z)-|J5)?xt6Ff&iGz&q$ih+Q
z=G^SU6%PB3u}IXrwl3b=G-W7gHa*VK)=h}#XsO^yl|UPaD>N{A*4xb9U6-An7zk5X
zO0PK^P$b{n4cU#ssh6`a6yDzz;7gSf)cfyHX9OBiws}EsTtGE^5(eIDfDX%q8X5k+
z!RQz<IWPlOtt5;S&F#akP~oA*gawX3(l+z!!_@Wc+qwJtoyQzIWo6hWX(J?YBg<gq
ze%*>=Zx0ku#|gDfT@Oy#!<bLE_WoGP$*1E_4tQ=PaHNxQ+Kla6#PpUxGD#slt0&XS
zvAZ@!%$Oa!@9wk;J(+~P4uFvBBj5L!wA}LA8aAWAal+kZ(|MPn&dLkj<YJRj=`%Pc
z48Lr4ZGzen?$;My7$&n>y2cA7nG3^U51JDHLf)_6$u~cT6qd6NN49irT?B6FLN{g5
z%+u@($;IGoT@rMA{A?1y&*WM+`cbA|4U?YP={vp=(E2ii5<||qhAfw+<1E{TOrF$f
z^!AwjgN<aNOq1(kl=!s=<ZV*ncL-vSJ%%&eXdMqh+O=-<@Xf1Ja2tH{_ZGlLM$mh*
z!8#WmOJUa2aEVdRJaJO~(fZt9{j_dLszmO@xBaOkUFM{g0FQq(BT{n!J^J{Jf+Sd;
zR)1Oz1yb`m((PQvT8jt^QyU{xGXJsn_~0~zt+o4a9dY%5TA^^qT!AIitlVjSs$!9P
z?(^Ggt+=(zP_}2iw}tLM0lvfH?+4aoEDaBYrqDLKzhD&b84CT)=EXh`)yC!z6K1&W
z*7?LngF1UTwqFV!o8Ra(HQ6++Kq8|BjL(zL7OTsyBIVgAIH`Z|AlT?|RE_h9kfQ!O
zDlIo682~##au(vJj>WPoS{!=u`)4*fQNa-{Y2~@z)5EUp?K-P|uO#F<WWH<jZxWSu
z;6J0p|DQ;MBf1HkZ}x(%GAjzn2mQAcn;S%3gd{*gVipLkadLGV+rb}?dp#?gEDZV2
z#Og8`DD3Zj=NnV2j{SgcpbzAcRzQhJGGr1?QKr1nS(hH4!{#C0z4PMy%d2)?Tp}o8
zkp9f4lKqEd1sPp-3jF`p+&JBka!ncxj`vstF=JSROTlsr>t_rJ0pmSyn{wwqiHY$?
z=|mXyAk>{Nbc-8iD(l`<+9B}!bdcjN$Xv?N?y`?HICie|G0@^b!Vz8Fn<u@moWq-n
z3lE`q^l);=Je*3vz*s<=v{4;xvl3wWT``7PsWqMmp#flUo#Q%sK|yIGS6wvOiWFGp
z$GJ&RDoRlM^+V5BskTs2+%z6FSCC#c8&L43x1hl^r&)(6Kv!@`h<UBhgS!tN<msH7
z53m$z?gj2n-y`O%jO60A`_>aaox+LVHlTaXrSXh~s9y5=kBZ0iT_E`^K+7!PE!ODG
zm9uHfx#at{`?2=!-P;1n!K%>mEK~~;@E{21AE#E%?#-R{vWAxJ=5U5o)25wIwPJMs
z9BY3mWyLs7cYu@^&#$i^M$ZrKx47`byI_&c-CT#>zkh$QqB#EPQ%gUKpE+H_%A>X8
zmyX2hB)pn?>VyT7ikov2^^;N;Ja{Tru*h-Om`7vNnm1<?X4SlP6CEqw4YcVUTI-je
z!`{pPBA@arNq75O3jisVfcb((e70=c^~3Xms$y?a7v(bWdY{JnTMG+8Uod)xzFS%>
zY=td{3iD`;WYML!tCqvY;9$`lHP_ehdy=1(Fy~*;*Ut_c|Ju<3|NaPU=|5!%!@pPZ
zzqOJZMVx0mdE0hc<B%}#rQsuo4qY8fFKRn|b9n9sB&M^%HS|3M2VE|gzR@|?bzC9D
z!~DVKy;}zs_oW_!&WvDUwb}MZ-x7j6Mc=(k^vv2jw4Xn9*GNx8tEmu6=b>i^8qCSf
z=%?A<42psyW;-2#8#o<J&0ummIJ(7!SL@H0K1ND4kWj(*mm^FIMmAy!WSK8MQ!bcC
zMC-U<AM{sdxZKgor<w^!i1x7zvYc(mS!=}`g^%gf-r^d(@|0YgVhB?0Yjk;}>fbMa
z0ym3$V1Q?>ZZVym9a~Xd-LZ3KauQyzjK;8so@gVZEF6Ta#gt63PUL1wD8D^K%_dzI
z9(v~7U5o2T2!8di6@Jv0zd9U!Vuv+0=f;jXJ!o3bj#K}34gZAUDgQpV|E+WT&zMv5
zKfctD6HR!pq!6M6RN<!v8q=>IqDUtyOWc2+54Q&B^R91L0S=B$AMgFp7;5abHD|2E
zZWj*Qrwp1QfX0m$^aJ}x$7OEJbo_cKk0#`Ba3p>_7IH!-!9>Ntv0MdB6HBN~xRu7I
zK#{IQBMCZCT*a6e88G|@yEd`kwCN+D1LTt{fg)Q$?)cHD6(lV*g@Bp_FsLFB=#|s~
z0AP=+qu48UJaXr(Y$VHIfOC9&h!jyw%!Nw}R2Z)I@u5;j7UO#@QcF(xMHY10I!WgH
zm6d5wN=fQgbYZL(ZUGZum6l0&&QW{l(vPm8qPiG=19}=OP-`7V9ZAB%XhW#7bz<LY
zauluIg|?zl)x4&i^<N0madT7WD%d=+IWM`n*WGb7`HoL{4NmQVzR^SE>1;hK5+)`l
zS~tZ>4-0Y#RAPF85V~S_KJ;YcQsng|9->ZPKdd3FNPWg%OiwmA2|2Dc%yfK<zjW71
z(O*y&C*MgNQ;X@gJWXA&Y0B0U=ljQxsYBqs>vcH#m+t4EO@jvD@yqw9jn_mzmtLX<
zQu<444=I#`MYPRp*I6@DQ9c65MD3eIx+Td6su|s=O5p0h&z!sK%$YL;o#Qb22fsnT
zPlkEq#~S1xn}pN=+NDD}9MPW_3b-7u*lZ}{exgAxy95daQR~p_)*fcQpz`*oZU~_s
znCdm#FM;V>w<K#;$IsLj)wSsEPFbuz=ZHT?YCTAOewuKTP;~b5(ASTuQyf2ih5i|#
zYc;#;R4i5Zxto)+b>qGll=g`A=)<@mpLgYa`imwQybBSJV)Rm;o)VuCd)Uax$Tb%l
zdnfwM8z^n}s;O}*2}H-oONeUDPBsEqR`&RH`EeM#O5B_eDX$l9TN0OKDDgU^4(aoM
z2=Oyt9#@ge0ex%RFOivAa`I_x1qxJX9!I59Uw*6!G7q28=5^cHRwJ+jR^vX{p)q>V
z^yRtPC8;;1Z7>Ll$^qS4Y`S#2ekUFX6ECPps+=d`)$bS7WsJKd@iA(X;DDYQ(s&~d
zjuRpR!q8AJ+iboM$%t#`lSd}sKEEaF;ueaTcEGr!yxJ5i(~kG|DA5<zW>W`O0v6g|
zOYz~dO&*Sz9*eN2SAm!?#XI@CK&~~k@;8m{`tvFK6W$nIqB7bX)FY_UN)!(jlfdN}
z%|~TE5dDaw#TJT()1%kX4Q*F_kJIntgNZE#x)$L)G&d+gjeQbM97ejpW*N?w?)tB7
z8~@BPUjH)p_|DgGyCqn$Na$m#&E5yn=qsvq`S=jG7l>AGVKjD7_kPP<rO_SORCGj9
zyXVpj;oTph*l&$VDh1a{dSlcGv+?S$dNLu-C<zmfefYEGN<&fxQPN0xVTishO1W2J
z*!@oEUf||#Vl|GCcJK{P`5o9Q65JVfB1lSYE4@#B7=S2*TEF0>-mDJtN2W`+^E5VA
z%s+}aK%H}9&>tOHrUrKro-j-QScA?uMljimzSMGsUY*9|_*}iZ$n>YwSH@G{LSHpK
z^iZ^uPpA?7@AiODnBb_(ggafGgSk+<l=Hw$Y0^{SVI7W%E)bMYe}g6#D)TH;o9^S9
zK8QcsFbh7Q;s4<0y(?{qb3>Q`Yb@ft;Yu>5gGBa?#UaIfQ+eg8fnr1%Zx&n5#i3WW
zh+QT4|HwJ8TO7#@$mm<JE&<dPPNMH+zaHJb!l^=oWL@jU#2O+M2gW=^sbdo)+6{DO
z!)JK=K$W@-Z3hO}%dnVs>JYoR*`ff{$r5U$?P<uOHa4~}93{?2`KFIx2}u8|PfSx^
zEVXp$5B8o5w1wlaN4wQ7@G)=?1!(co?7DilL3a9B5y(XL$6;<q0QJCY#p>};i3X~J
zUv~xY@z9bbsQqE{8_n=R+n*%pa(0UZoCZ}Is0WLtm0(^IH_BHff>}~kySEqltLa@W
zLT{uA?~E`e2K59|Ya8O~;GdqP68kIqe(3Z<Q<)&5^qA@$A<TC&fOi%XOrv4}yt;Jl
z2vL{RQ=If^08Uu|F27+{Q0|voRy1O+@dST|KPjv*T#B0Ae0)0KX3#nF<c;PI)~Tu2
zA?UsIp$2la>D8Hp(U=fP%ZkU&G4oRQ(_A}ws20R};vqGIrfUP(>y(!R`tAX<l8e(H
ztTFGq>W{P`kA{K31NWmGqNpzS^+5;b46$Wp7;;olpW$GNZe{y&72cH0-v13%Rr}c<
z<?oAJLV`5CX%M0bx4{l>6lcgo67fZ2?;h?CTT1mXB3H$R9l-Syy<gXvd2e$VFaZiP
z>;4{fkWloybKArvvCZggzkv=>q(b@myv8fgbquCHIR9H)Q7d5_!Z7wYWmKw(bm?u(
z7w7f0L<5~aErk7x8FTY6yJ;C>Gc~PHvoV^B#QK3+3S@G}O3(<o4Fw*az@kpRpGMcW
zUJcPXA9`FKOclKxxIpK&*Z5aRGM3}vXgnO*-1U%<0yN;7mPe|@_PA3E3fgH3s0dPh
z@=-XZ&{!q~G8wV@2CyM}%(PP}yQ6SFIe81_0pV1vp*3n6XQZL<N7xJF!j`f&Y>-@X
zPf9D!U^&gw@L#cYQy^v-LEh5+Zj4L6hYEx~K1B3j41o|H2DPzB_mLiZL?O21j$3FV
zlT$8>W<robQ+<MDkO*w>pM>fR(E6fr=+Gj_rUSuATb*xB%-r>Z;yc*Dp*2^pl(lni
zzD^q-)CD$cWAWK=HbhI6j2O*ZC){#=TsuZb0}jL;mDzsGC@3UpinC_}8VV(enuqkS
zu{rEy$NbyV&&*)06%d#!E2CdC%*LVb<y_UgxyBDT#F(%uLU<6-SXMsO5@7OOwrK!A
z&refOO#55%^Tney{fkQXzffBgBBs9-6xU^+_1VWft24PilOidrGGzlZo+o>a)y&ta
zk1?vl9Q{-@OYSy$o$XNr%f}d+y6z#1l3P5~Cq$w;Y+j9RJZIex?Ml|zL|)8iKqpjx
zF9X&F7y|+lSl|IJcJJ4n&rlqTm19UPs>=ixE5PuwRyE`CL;n0S;({pQ{_@*_)<lP-
zITCwx5|8guR)&jDPH!H`+$LBCEkZ+Q?RCQ9!iqmerD3Sm(mDkU5a>sIV7IiQY{HI4
zR1=;#cj1<8em1`Wv1g-j!hQ{vp_n~oXUJqx8Eic}bK!~M^g=;*Q7=sONf{p+Mp<XH
z$0e8bXFIdAvxU_(?S&?`^izK>48JfSl-hXH;?8m^e(>9-ugbw72)wn68>A|+(WD}j
zN9~RBh*yUeyts%xVxMoQSybWmJTR22uB)w^QB!aA%lZ(Szc4=B%}>MOF!61%J?0Yv
z9+9{cN6UadR?|4y!gK%Nv4S<+KNu}afH(6Qb@!>e?PT{Giv2h}I)mGkP+Vk-7`eHp
zhwY|Q%Tt+6Z_nV^B%p-uiVkJd_jh;nhxdA{gBqqbS?h#4oHsNo3K+B3ln;-)0+;&U
zBuB7ozJQ$LHK7$K=P!-@lnk=LJR%nbHS{ZpV>Colr{XH7QtxUvGJYB+=SM>xa-f^E
zein~ep`~)nm}OFy*IBDyxJ{vGQ$SOL&?5J1ksa~`KN?weA;QTnj$yERN5b{%*D0X#
zAW&)3?i(RGxsHCi)Cy@6jcG$yAWag&grx+UC$`D`&G@bLuhKu?pOyU!ENPXn^wi<s
zhnkLrL14f~luSM*u`H*6Mx|W@$p-5zpqtTm+Bu8JAkkw?hZV7q0u|duk@hqW?c&tk
zTsvmG-6EA14c+vufaM|{8Hq5ld=Ty}&F8rS5hm@Njj0;D!l795X2lRDtrXIHPIP%0
zMO&T?d@;sVa|XK@Hkn`bR5RKH!o7skZF^hiD}H|csRHtw77AcMOLj@??pyarEwWZ4
zIT!YaJxLPHvS?dWq>*i|kaw|{0fB%$^6&BeKwtD$%CI==MdL3sEDRDAXGrW>FT!d*
zVwkqj&Vk|WAo3-~53RO{Y=*@cJVzc7J&)71CUsxDOh}zZgI7(V9ix6fb}DI*{wv&V
zLx|Z<Wo7xP(bfwQD=Q)BCL4c!i7N=D`$$IR`}aR<8`!IKVL|LMSBE!c=?S}1?>D71
z&4ipB4cLmy_;RbGDc76YK2e94r%q`MbCe}y4aqsOgYx^;ZLg&7p>?eveX7cNbE^!f
zHym?E3aEyNkGzbQ&NE5ozuMBeM8j51AVDCx`QzBw075J1*A!wOF-)wJJpSei^&i$o
zEp5HZHBh(u>NDG=`L8Z;>RTrv`udEnoG;GkYQS;;#rTlCeW6^(T`D8y<Xd(0z&&2z
zaBXmtea~PR8|1=pp}|SrFPf+Xb$}~|aJFLRU#hrNc;J9gB55V)L6wy~FvK7TXki<?
zF{S1x&`h){O_@#<<xZ$oR95CATh{$-d93b;o*o}5((F)UPJng|>dS2IGWmhxT|sZZ
z@%@y_1J05fs%a3wrwlROi>o+s#DNni&j8FsLSNT1o(cVny0S9H7sMM{>031Le<pnx
zweb_Tps#Q(9W_l-T(|<lY<jv#x`(U;*(<v<5P{dO1s{w_FLcW^_k|iXqnCD-bzb~|
z1cyF8kfVA&=*~Ro*7hz~64P-ZQN+}RNbFLqmtpnNt<$UcsY;I6<m6iAnL6?8fM@4n
zNz8*`ACYsM;-?Zg#n5Bhe_(p>faI}Pe^718f0<-tjkAq?z^wcai0{xQm`pTHPa0!v
z!x~}5Wt=pJ(t{=h1H&iPwAPNVwPG#{4G%jT`U~u2HFiD{U5^-i@iUfiY<Jknj}Osu
zzv|M84~=a$eRH<D_BE4KeA7)8dCXb#`B91cK?9P-YO_$o7Id!$P<|<ieh6xHZ2|J}
z``$D_gBX`lrvQXGVcG8144Ea>M~w5w87pef!?TxWy31LMCL5;NO&TY2l+;zoo{YBo
z<-`F3Z0O$1r>&$3c%1E%06{IlG=3Nmqk?fryI3du!eVS<8uwS47&!0y!RYFhqBave
zN`JKR<VM_#vB&3yEht(ALO-xxSn<Z0@;ihzy(fp*QGUkU6+cs!wAStl6uzQ=FqX<a
zS_T+H@Q$X+(hQhZpfb^Vg<(SOkgTEun?2hFv7)MLZdi=%`e(Ll?Hy?P9EqlAYV+Cy
zcd{$vXV>wyD;+m&n4I5;2?eC!Pcpu%gbM;4fOH6Z&dHCuA}7;(;R@MjHIuYy-K!vq
zM}%)h5HyrWaAjxT?3N7JS{_D-=nq8~q-MUYy|kRYYsVo&TuX{}cDfE<7)Zl}X&M6I
zAkqm!v&IhxY%^?r9J5W8Cz|IfoftZ>LfULn<_%5R!Oo@D*j=Ft;RIv?Y>5i>y1bHm
zgd-;DKHT+cHm$k|P{`XD^Xf$;Xv->$(@k27j&cDS4Z05lZpquwWFC>Y^vLxou~{50
ztJEz%Ph2XY0VI>-Lw;ulzU0%uho;d288UKETzvEakgBjTs&LDLYw8<MryMk(AVRxE
z$p{AX9wwZZH+S<Vl9JF%O&YV$5MYI7W^_)WZ3$c!Cy+qGt6Sala({>(7Ag$BkDN|q
zq#rju4U*2dOZce6B#k)1XqyK$p48Jr4IL#@$6-}MLGXSV`9D8Jm{s4}cKuZ=l42d1
zEe!9E{7POPD=>EXLLmX`WBc<A#M8>1tZ4Y!f{+l}QbNySsX?Phzw{u!<m|8iJnvQ#
zsuDETqXi-HGR?7EFBQXoiPSUDmh(i-S--ShDY=xANg5H370k_-hS-?kFRSGbbsONs
z{wN90llN_CCOBp|j=lMIM&BV|R^2(8J4<Q{8vT~E_>FHqp0K!i%?4U}^5?Jwei}7E
z<zE_pOEYdgzHE-Dd1`l8Pj9isWV_6;=bML&%CWu#!fSAX3bb{ECC3KZNk&g&^=J|<
zWjQqTOkBMBp%arKMz9W&Vo~P}9MAU9dkK9IYe9-R;#6sz1ZKKYI1On0Wv<*c#4r-A
zwP3!VDM^&Sltl>9Q50~gm!#>sY(W61Dh;jF{@wRds&+pU!|2T_n+x`D3vT>1dgF0O
z`*AjR^lU$deGn`3&n~bW|BT^;LDXdl?LDuN>pc>dzyIkv52>6w*27z1y6ciG=%(bj
z|DFR9{8v^?_p_aO^Y1Ys|2Rk9QHR|8Uza73447PunK5S7Rz-r?EQfTH=I7F!pFr5#
zf<T%--FlJV)(1m(D7sPeKtE=1OQ2X^-okv2NlF*0+>wY$>o!5^*~*(cszP#l5+hPJ
zOJfb#jtL_c4m}=wjRv5Ws@y3j_G{vebLlmXy^RVOyRd=;v+Sujn$cP*ExAiLIG!X@
zv0MNJv!oUpX5r(5JZ&{i7A!={$FQzL)B0NKXadg>fK^(xP;s;w`XAQrETZQqNv#Go
zsg&3YXRSZjU5DvbcQ68-X1MFebYqCD4-HF$jmV7Kk>Cu|7kCB1$k!2^&~e&Pk<Y;~
zTZR4~0hsr>i>=W_%-+mzGm~TcIOfN2+&xU%Nd5UPtAzzU2g_+j>JsWa@c4Eu!dkjM
zz=u*6f8fk$%MA2Jw2rn0H62f99mDyD>1Mn=#mjNFbSJpN?T=1j{JScG3k^d8NPI`5
zRz&|ic<9^9!WJSLXc#gfALy+Wspo;(^iV>)q2TW9fqDg^0AV5sU9wf2Xf`7nH{zEF
z(gZhpWF4@pG{=z0(zjRFAiFq_hrW~SmkHEFf?4sB!fXnZI0H}<)DiHhX#iU#MO_jB
zrGj%f?zTQthSdu&#?`hEFF?X?sFWvmXHnyeJ=`;o;50HN8olssbvMbhs==nNZaJ@;
z-dYe)cXaxTXgM17JXVp~5cLR5WFi$}*kmsaqoQ^zaKAM3dVGkPRs${Edr7ilEX`1*
zwhVvIE@e{mUg#!~Z4ES<Bun(iKsH5KF-8)1^1)CJ|LCHGv5a}zx#N{u0!`q6$Toa@
zfEkd?&EV*8B_h^wUc^|jg<gG{S04*EbT8i-IV$-VZf?J&VwO$|07chZ8{_7X^6NQy
zgo+!sK-)qpQrHXiQ_3_r9+roGF#&CET2*8Y->(aCwv~NTrW6=ujHi&UJ%G2Oml|Dr
zl~R=YUFddFQ%GiD(&Hk+LF}RNNVwTzxJxTe@1_oN7y%In{Mit>3WQ+*!&&uX4i-hJ
z&RRBBG2Se{*fZfE<<?;?+%jZpG+UZfvTVN%B5@R>tawn72qdikF7h}BN2)!wk)2pa
zf#?_u{=cSk3fw9Ugd@%>9sf%L)3I-D_E7KuYGP;{O)YBbtb(GnZY_-btaBo0q@}5L
z&~`2`A2h%B;K46670}fKT)J5;ri#`Hl9x%ohBA8I<#l(kjATbN=P6ds3%f#7l5Dmt
zivv?@4IR~~qIt79RxW4Xm8!O(ljboRIUayqT#8aYwi=g<@zpTL<BU9@2@#A1NT23)
zhe{Z;iLUwl(xQ|V>14awuj(>H5sQX^(_qQpSdgaQ4WH8F;6RNh0gBtRr4N9L?a`%C
zScOrousaN?B_=O_n0gyk?}VZCh>qy}_>ZyrX-IjC89baEFQm)n)2dmt76t{;xMCE5
zq61N&dfkF#!4GL<Kq?a*oHV-qS~tcoMbM-S-)0giQ{xVh|8mOOX+xoa#kV|~rZUcq
z52Ba`U;60=<#Ldhn&3d%qmoisonUH8RWa0xXfmD$kfJ{o2??rEHpM;dgjEimw(DIe
z%E4i>^2hNhzfu|QV>dUL3XGVuGTFtIvx}F)!ttf?!*`|8_3x#KpVxd3Rmwm8ANcdo
a4AUR>-dI{X?^n9BJu2$Talais_x}LI9?^vW

diff --git a/reference/plot-8.png b/reference/plot-8.png
index e59cc9852316ed4ce5cdbeb7980e41877f409d06..6f41da6d25d6e714a817ca4af17556a43aa19e16 100644
GIT binary patch
literal 27030
zcmeIb2UL{V)-8%{w^?ay6Ch$E3W9(M5E0N8MMMFWAX!C3iIOwe+5(C|3j!iSp@>M9
zEZGD|R*@nXDiRAQaw?$i+-0BtoOj-R@7{68|Bw6LxZPu%gBDd^?eE)buQk_Pb1iSF
zt17Kr#<PrrgJY%gF~!py96vd8a4fvAWD#Cz34Jt#AB!%iC@JD6{+m9W?}Z;ruO8E}
z<KW=)A^%$t*g0&%!LgY`S@DpD^TYl&H}{8{kqSeMZ@ZNrd_1l9C`+uf>+w5>N|T=s
zRm2{-yRPxN?`K=n&U6vq+u{la2J3#*KYLa~F;_=jnD#>VxWskeHHt4w@W$VAL;Nf+
ze-sR^nw{^N*!6qn$>61Rzt9*BqNxqxE;R>grGtaZzwPOkQA^Pf3HgDn@7gyF%{=l4
z4vv|lFPD>_e+n;<AU_X2{;`1k<hZqZi2Yu{<Npb7h`3+tF=%(UwtEYuw(OydT}2UV
z`<bT~nO?KQWtBx<dAvOoAzts5U%F?T%~OvU8ykNcot~P=DQ+{SoQ_{3%P6oTFT7Kd
zACb~tg2j#9ye7RXGBWa%@S4Z!!iw=4BFuShM!vf6J&*Q+`h%<kO*<`?D0HiN&D4GP
z_;IzrzrW2#Wufs#p|Hx5wc7ezH-G!pbGp)~w7_MQ)+Mq4Ph@=S=btuw+k^$(m$AE~
zsHpGQWO7PRFTb?Ntv^kvKfO|%i_4}zt?a0&X?M%%Em*^Q=^to^`ldPpYgL!B##6lv
zdTp;Q)0H#MNlV)maA4$}!vu?(Q?!<gt5%+Av2Mjee1vz~0_zLn`Tgm_A;(XNgj`_F
zO&S>&2LuG%rmS9-^s%MA<@cd?TLRx+|7p2^z}Hs0S_682TfO|)BhHfhyNvPD9?J9`
z9kM^q7yL5x!-@+=(-qq36KQ3eS`y1NG&M`Yif220eb46E$1mr=?!8=e;^p$4#|mdh
zDu*kL=64GSIJSFCHrm&nben5@!>Mq<+-tzxNYv>Hu6QtfiSvR*@ex*e+s!GC%~$B-
zjVGns_GY&^w)pxwfBt>(*OK){JIpP~TV0koGe6HW8MWf)vS+>?F}JOe>AvVOI_-X7
z{L>lp{+8zE2jjd_7H8M^mE?>~w|2{ijk}Cqsl$dfW%JJu`83Tj`!m#Xc(l9*UUUQ$
z&UpHjT)^GR+4RN7m1^l(u3fou<*xIu|CstFq`;kFT059lGcU5v&jyPx(J_r&o6jh6
zyR%`JKwn?qg-_2;rH$6emI*0Lm%kXP5H<et`evb_@sxzuw2Hp_aLF#q=1k{WH(Kz3
z^<<k<V4bS0nCGyc(OY_IF)guqljqczeUq(r#*D(rfG=-+lwf-nIc<(MFwC-noc2x0
z$;opb%cy1_9v>O@w|3w1^hEe-hHFFq<42EvogZY(i>vPMeR6+~sj9ub{feI9EdtAK
z{^tI9A^*G5I#c=4a0mIPXLpn?SiJF1xl4VY;uq!}9lN*vOuDh${8R^5nwdwR(d^gt
zHm{coz5Qe9FXWop&1Q-F1~Tiu271jJ2QqasFQ0noHkg}MDW3oK{iDOixLuofzxuqz
z+GvTx#o6sGS-p(=WQQ{*o+t;qdbHLD$PT_p@+jkTN}B8-rk!)>)_C@XlG~>h?+HBq
z)Yy0ykJ7wf_EOdTBx}WcDFq`Hk`o?7uNG%`Ds6JP80b;6uj5WqZGTfnz9qe<r^hkL
z!NW3tAltf$g)c}S2$Y*Rd!_edZ0uwq!^6C-7WRBvH`_u-f>P+ftfS0pG+Sg;yUuyE
zx{p?yx3vdtRXOf9kfohEsV%(5wN*_?NvXG#*LsIPpR8jf^Rk7-j=8Vvi_dmX=4De%
z)uO!Sr#~)Mn0n=~$*aFHEw*fvn?)p(o@z?*$cBN3@J-gpGW5+^%f(-8rpwxXd-svo
zx?orIc%jPy1#DxiO-E_+crNo}Skb*X)tsE1umHJ<#;ge#PFusYM-rnpccbydc!N=G
zb_11~GVWk@a@~%ze-0Rbe4<RBgG=W)_c{Dk%VIc;v^T3{6%`fj?CcJ}Smh?%#_P4)
zZFNVnFCCJDlPURw70o_;j%T?=1}HA0T_wb9)#RtY=`!VJhu)-3(%iyKwlU083)ji^
zKYznRsT-H{nxEYuZKdDp)b24yYaq^PU*EHsuhZQWBh&V-uCDu1mb&_O)sl1agJ#9k
z)z%kgr-p}LF62zgV2su(@MBwzt0HA{EXo+=Q^OtkVheW?+wP4GbM0roKg?MYRx}pd
zKhc_NXWaAt(L!A#Z5*8d%j~9Yp*wWash;cguO6EHyja1vrlw}9u}pqlgQ44iE>mIZ
z^9`H#hZct<*Vy_uDe-&kHD};}-L34Ty79MIWSpc%Nn0DPS$5O2{zp8Zdz5QAfdTR}
zJxLxoGZT&7ImL69)To{3e^X3arrg}p;?}QVTzV&|usg~v#pz^yeLXzgV+|39L~B}s
zOVgY|ag_7dTUmpQ49c8E!Eh-rdC+g+h#$wtZ@*n~0q5v#otgq4u|?|Sa2bD~PR6BV
zr)q1*`RQ&Y6%`dlMT^W2M{VA$lzt1_dR$m2hfl%NoXxd0DHwXae3xm>!>N8#1>VEn
zD|&5=yx`|)wz@Oxi-vAGkCY1;cUFX)+OaMsBV&(N(pfGwxp9rE`@6PGv{)BAP+tsW
zx0K%D-t#rwH0l<WO6`|%nHz5~rY7m6!Eu;)s2v!7>pYOvFf)87Dg9!3P$Tv?{b!H2
zzFamik1{`rq78g}eB|=ExiW)=leGRfKEA%?!9tT}O}FOn%X_#wig-Oz_nn(;XNjpO
z?v<1*`BomB(Gq6pdL?In`zi`+wmT*^cIyPZ;o0Zs4rOL$DyE&igOyAn!tiyJ`d7|G
zx%S1|;6}>YoZ9(FWNUM1C`n8$;(>ep(A30TD>tdX(XMKj4$F;ED80#j=#^)~*_vJX
z=U!b;Dr~XJACHeZ|Hk`>rKP1K^X7WPo;pwL>a_(LubSQ{yN!KN$~Y6oDL?gj6Z0YV
zDb`n5Q(HT1Fpr*+#M%;gU?jAtGE}TGJ8;9U3;uCuCMPr)#sM<h=uX5IW|)1h$K4d~
z5eIY{agvA0Z}XN*r~SsN{m&Z8bb`gQ8wFb0I|3DG-E-KmkE*f*p9W;+Mk%b;)aI_L
z@G}n-yyo|-IWYSBckp?PeP~K6o*z$5O|!Q4j4HX1mI;fxG&j*`9C%tqrBXLg!DD7D
zi3JO3&$oWg-`w1MT+h1D!Le#j&Au2tITB&AEl0kUd+3TsOVAEPsVU5jNp5n3=d#wB
zIfp%uZ7}jGEStxb?P31dTzGOx>W3DJolKcU!>+3x{?ZdJ3W(M!*%Y|oxLPK>DaRsj
z?gEd@nZ6OOL~;4CE^fcr)7xbo=5YS}vEQ;S)VdQ5KAT*H&Aq<<Lg}gN{nROC_URdk
zOfd;&)o;FCUoQTx*{Rh=saWFvI2_@{fytuDLJwN4aiAP^V9j{0U3Y1yo>fz7^8_|{
zYRE^SpoVf%Q&ZEuTeiL2%8S|3KG<NhUR-~}WV@G_qT(kiwba0=jf6~dxp}xY{_*i~
zU=`RS=hTt*k!g4M3~64`Fe6Ww>~HUmtT$LQ+Fcvy>w9;LQmI%@>*>40a;{@NFTMq-
zP@VgoikWQ$<~Zgvu!vh+TaJ!3DgZPUvzW!EIq+DNiNqq?z@{U9>r4htN;N&HWj4Xx
zr)P7sQOOssp@~zlto~xwJQo+v0g1+K*%CVGg3Co&!~CpW-Yd9Q|01M%$9GU=SCS(=
zIp@+q{F%5_8cp<0Kcm?TIdvIs>8`!E>K{ZzFdeGkwx!LzaO1sp=iG4;O$PuQ?e(O-
z4D7V;dB5YK8=T)`gy>pk-WPA)^ob@@3f~*=m3rOAJUl#KzXhw+Sh40Oiy5QCZi#W@
z&cz5>4th?LQEr2`{H2;NzclYH?^a+<KZ}poF{h+d@)3tL{EE}_YVusZ=aON7(ZbFf
zQRAluceOb1(SZ*pT@-+ju22o@W-4F|2Rng;zI5=joT){y&OA$co;U+u6{t^%&p|^`
z5&q(rG{j!3Icr=xsjXprcV)7)1Ho#~PQ|3R%q`u$MW9A*vNg%0E8LWgeYz=Lo(B*@
zK79K0i9S~qAuVA}v8~uXm(W`c8@~WwWJBIcb7Sz4rF^QdKO#?IOpK4!shI}$*6x2{
z*Hu;C%s<zo<Tm%hYs$y#T{AsT-7vSnMUIwIJC{>5o}43hnUNsfkxM_(P&m<S9=XTA
z{XlS@!unrDC+`~+hB_!Fjox^W6`z<`*}PEhmyNj5vtB>YJR1>((;XYGNeO%f+EP|b
zdhpX!)MSB>fWWGKpRZXk8J?5*NpoNQBrdK0`e5hz*F0)Vz4FH$sYVStcjpWqp9hHW
zgEJ@iUNI@J=MzDzjSdY4##2LIc3pVuyRY-!nG5r?)8-GwbVNe(BKwM}rCP=kpQbPi
z39xH?e%=N+v~+8j{%Sxuqa6l$dl7G9)P?PteP$=uQ|bOG>nocPU1I>jd3bqafTv&w
zk5f{_nSDGvoeJO6zLxkg-Dk(g+ZdkG*)&(W)#Lz7bvPI4iDlv=p~CR#RtK4&6n^~`
znZIwyFp!XMq<qe$`$#2*&EY9<NNpsK!M0Kid5qHAgrBX(@8lwyT9n^Rq4yRsJQ$Um
z+yJ~T4%E{Vk17%`ywK3eTGNd0Gh#p)0RwwXYwi$#sMnKi(Ud+#n=D!%yzS&|au{p9
z=0|f5%vb+vmmB&c0i_)j)-;8=mYR}!A#DQz&jS+^6PK@CxfL23dfC#_A7SCLwRLS#
z-lD3K3%lG}TVzJlpFVxsa%GN-OX%U%-%1)n4BI=3Bga?0y+4rWI5^T-$t<A25y+Sa
zZj#G0k|h4DQ|R-6PeMY%KA@EJ76R^IwSe(D!qPw&7H&Ar8v*~hK6voaQr4T!APL(Y
zEg451>Qgn!rkr+9H(-Oa=@*q-ZOZs;@P9`f92^wcvF(x1CLZE<a>|Ni?$cerWEUZJ
z#eFRpt*Nv^z@XW5M>>^e)XMXUY9$d=BD~HIU?Dvf;I^o}EZJVTc|AD|Ih<kw0`lYW
zYC6RZVv8<RIYu5SwD0{W&xoVz7A4jm{g0jL;~Ap4bVqV=?Q$Ay?Jt7=EYxF>JV!uF
zta7MAG!?<LD%8%`_jbyuyhpg{+iAvSrAi7jA70G#B@$#{GhDLXw1w4aG#}ftqC{W3
zVZcQn5WLv@1wvr@#3?1dwZwY{x_{fU%X4-L@bwNZlk<nYM8VK+#eor(onII7PaSl0
zBYy9<Z!}MXtFL~VONo^R%>0=(lgfI~X6SJ@{kKOy2MehUHXM1kC<AtuKbU7uoo{E&
zwaYV1#}{jJ4Tr``<F2k%{4z9A=Ys?=Y3>dG{7wM@&)E)s7~a;6QZ(ldtGWD?7Q};j
zsriwx;)`*!Y7h6Nwd93&er$KJk=~n?m1RTKF)ev}>z54XCfA-vRvz0<KDd{aS~Sz=
z$)7<#GK#eAp+ilQ0nmGPimlfGV4oZ{?U7EAyGxG4)8f%c#@pHHQR7OnoIAe03bS80
z$@Mf73RW8CB0^r9tS;s+tcRPjoHN|x3}ZU?X3OV+xDPQ(rt6RB6*$|>_NsZ^W)9{{
z2)G)mIgM6J*NSV50r&0bs*VV=WWE)WKb4)QW%Oi+Kzi2iizE0P8-Fz~o?bJi=FxXX
zhnd}C<)<(|95}aMtAYD<VuOKU1hSwcqcVCQvc}5h?uT}&Ievzg!oYtgBKJ!^c<=xz
z^5+|z0cTWYw*D3P^pvKNyA!vgnf_^|R&H585{QRc-8GRdah$H}#P#oI0je{eB_|JP
zpTr|SIK9-Fxg8OY<dgjqy>XPNEH_=XoP-1sV(wgA((Uec`bcP+vQsknndaoCnt_Xs
zHBHF=3IF`nh&68HCOPT=V;Uy6n%_2l{WKRB0q;2+&c$;RelY2x+AN2*hRI^qT-HRS
zoSUQjc%sq3Xd2BTF4D0=wcQKB+ZgF$VbSGgVBD|Eji!EUGSdlOE>W;E!l0mhTg2Ny
z&#@Sb&{1TKU%h#)-p!~+?$2tunSVC6)p){y;i`S&{?1<ov<x1mN~n0-NAB|cbV_MF
zcO7o<+~+0EmFIAAoqT%#TRx}Ow6gich5<_}t3k(I31mqoiShK_ruNw`=?;J^hGW9G
zcOQ<d->I0RC0t4yx!_=(3XpI%<s}3A;Hh5#uxIDs=_Zu|0*{M|<UyW<Sux8yZQH0)
zo`}&GGODHgtlc|!hpYC~+PjI9KsNlf#0Hl2_EY>BH+`WA-z@>}n%5iHpL*!h6+R67
zdj!DOSJS)-IaM$_Lk3c=ocv?9ebSb|hKzHJBIe+RJ(o`C+mx&&*S)CXjud2sq>wMh
zsd~m0_qLNWYSH`W?;|8Vg0Tm;MIlws;r@pBjQm0>rm(QE&9y*Ic=Eo#FVfyU=@T&c
zhWw`~=4xL3#{7DWGQ!&|RC}qn$l%SVdikkWoR?H~jb#p0g9tcHt)ol=j`mNTJb5y$
zBS7}3JS7mE#JlcMP+bih4q7j{RP&Jg%+nLMa3+-CNx#|VK7-c*kSN3ATLwN2>sjT-
zmUX-0jslEuikk-D>RAldTyf(CKQRGB8SyYbeew0cbZOIF5oKR|_&0%`&<h-QAB*Al
zhoh9w_bA^Q_V!YQ<vQeA$lCCsGG;q#-eTYrNio~R1E@wFWr2Z<H#u+S-2(LPhxAG=
z8`pn^0ACcAmzPJf(i0I<VuM&zI-l1`>}lRl&0z+PI)n?6n<(r{NW^loeSLk)_`PN=
z!*w1$unlPP9n7#weew17ctU50w&5+}APA>11gDzP?L;120pE`WCeM-NnXV7gwX~%7
z25gesf7G9+exL|$xgbfhzM-KEAao>@2?_{tM0m|I-qsZrSkn{<eiq)Nc?6T$Al{c9
zTFjSODo>tf9K|!Q#r28DDFXw(;+gu?yqg8)wqI_pF9o-EYGVAjQ;TJeGtx!l=FBUF
zo>jMmqBbmFw?o*RFEQkJ?7nY*9!?McgvW6%XX|lVQc6lni)%rczO8aql$_f^GZmfO
zQVYemAl%Y9=6}cADs}74>l~zp8<357HV{&D#fk;i;RVyz&6wB#T_!(rl{PB|0$Hc{
z_Er0PqDfBv^|7D$ZI6j2p`!sCbta7OwJeq&`hBWg&2x2X!N_rar#1(hZ+DeS3GD;l
z0<>cM_3bU2nclcEFfSc=p1t*XC3+TVM`j0|iv5J5oCS(-r=_4^F2wjt-A2@DbnftH
zf9UHip;B;lYb1(iZQ+f_UQmGB-^K*W^JHAAzKyJHcWD40FH(qIAWZJ>cQBjn_L?^(
zxv~uqvnjncv?afNZg6V4)@u`qW8^>~aZ|du=N6q#H%5>S2v*&{o!D|^m_%S=N}fn*
zAiu)qEW)of9r-~iU?VqhjehrJA+b^9&*?2^;#B>$4P8tQ_OYMm+XNFet^BSB=B^I2
zr{nL*S$%tV*Tl$?5DLN+{dkEmt;L(UNf;!^_mq(lKe1C-LDmG|8MEUs|BSk#B67Bv
zmYafv(^~0=gyTl5rnUi~HWC1vx|7n$87x8$a&Z}#1^5%1W}z-GuK!-)2g7TJtcYi&
zX3LLO?Ezp+N@LvMl;40n_Z+BR?1j0(JOM+`4lIy(Df^OSWY1Dk0zi<66*1cw6OC~i
zA|*?O9{$XgNaZqW(EW<{9_-Y)u^vA;HlMmQ^jh}aFKP$4a`jW%jS?kZN;cAooix5*
zO2Q%s$7-<4<ma(_l7GEmvgp5%ZvQt%-%P~dpqZ|&E~s*iygP?t;Gh!{6SrKbx6=~|
z5z*(`j_Bv_F3-=!H83#XDbyPR<GOtLGEO@%8GvT;)gw<Xy!-Q4;#>qC=jP_VuK)8k
z-VcDm#r2`NnJ^D)Q+(HGXlpBZcz7r(;vfT<rs89dfy4y_j>nz`lcDi~=k$kh)^LcZ
z_R+MnN%-wcR>#6PfOI#jhOlc+at`+P8wyPJUVQiGvv?iJ6|(#H&mMZDZDwYcZd2FX
z+~*Wz7@v|-Q+hJ(>|U#$EG)90!r$RdtLPpzv^#5^t1r$gee<_hFCH~$1xD1=sCIZ8
znqR)$Gr@Ynxuw@Xg{6)4x>RqEfmz8bP*<-c8}gr9=J>bg{-0k-NqGA4rxkz1s)UtB
zI?=c}<;K)W5=5IDbSgtm%e{Ex)q@u4<=aBUImx|6?^vYy5?jp9*7UvR#@hys2u=t8
zPtHpT2@lWWxi#9Q$h(JDNj?jz3EyK%2(ZUbpKg<9Hr1Ab=j1`~`S9Tb7jX@(p3H#|
zaW3}NEf$@8$?Qu^CGQ9D0uFV&1NYvdrKiXH%eE7~V9b(Fce3sOUR!kTyXLC!JzE66
zK7X@{zHX2l4~`XDHv~S5g&Zf8ov$x)$b};M>}`43VywR7!*loP5!ey93WU$H$4C4w
zfFv45z$F=EKQN#TSnDznubN+uv%jXoRQ<;S;yHYM30Og)=_?^FGA!XCNJ?;D*2!w4
zW8-<kaHQCI?YUItdpiD82dQz0mHP8)hvwaSmN3&II5IOcBPq{#uZfUNtwA)e>=Ze>
zGQMZV^$a2on3lCk-uLW1{C8RPBtLjiTv(0wAQl<CGCOvp!RGXtGaZsX<Dr$EcX(Zs
z>E^096QH}6X&n~Hn^&M^on(y*wY&>ibm(#R)i1C2fvAc>1OSNLX#4J0o2f58Wgz-v
zl9R<efeP8>DlRV8gf(j&>R_X~lR4n<l80{&%#POPtRN2brL0E0#%)xQj)xuk32^+L
zN4m}<^&Y#+^1_#fQszI!qXIFQ&)9^}?Vg>C!%u1$)z#HDATmqqwT<{liWYmEIH=9%
zkx0(>Qs(17ny4RY(6>7YdO<VqPF3_0XP=e4p;>XNk<G>w<=|~4Sq+A~e(NO+O$Fvd
zQr%7bRerL_?F=Pc$Nbt8PjRT1_e4ZQh<!Mi3Wn;E#1lM9RO{H@1_<ca!`>j*Q47e-
z&enP%aC#RGy~Qm~#)6(?9MAr_u8I&*P_!AZ*WSIJqOxQy9E!PlBJo3@wz<+o?9HxR
ziN7lOgn&)G)6ZgKOIEL>ziM{?ZB!X`WX!bO?-19}Dt`F`=EZaaMqip5EQV@jZEZvk
zmO@%9X=QF^wtCq;vT5svva_<LZ~T@DaJJ*K*qUX;0|Le2&+Gh3R~Awo#16yDB*691
ztk*5O*?;}zbE#=}dAI7}^MZ6^2Xex&(PETZ(}C=4sYjizL;7%vx)UoB>5?0%+Vy$)
z7E`2Bg?a|paL)3SLY)S+UD8jse<DYK!$VT|2b!-hNbns30#?WmkWvF-b8)2s!%m8F
zEhcYjRA2Gn+9XoIt1I~S?;S);1UxyKq@TN6Kr3>!G??`lfM@~&c?Q?m=V!CYjY}ft
zK%-!!_thL2t$KmL+|d<b?WsZmF4&LMDu0;<`_k&3H@1ED_a!B=U&w}&EPgoAXifwU
zB^NBO;)#d*c0D~Au?`qA)&3S)4Ts5|XIQhQc3u=1?GqIF!jG}+*H=6{l<_^Ty_EI8
z_E&KH!I1p!n&SU06#gIlhRfx~fXCmp0C+h6ga`izKa;<o!!^Zvjl650Aay`ymT1p?
z<0zOk>Zbknm+u{qWrvS|2t+2Jwd8Y>PXxj$O$LyuHC~SKM|9dAkI2>i1rAH|%xF$d
z6QUGN;iIU5ku{i*oR;?l|IcfEFgIXnNlHo0c)82jJ34CR{U~Aqk80xO)iCZwg$Tkx
z4H#DMg(AzIuYmUQqn<(8ZJWc^4jzTWx~fLp(qq(!_Kvacm9mVD^IE4?;oIuRCFAn)
zbYCu~KO&wxH3#*S+Q79#DRJ4^*#rgRK1zqayvb+^LzX<pQ&nKMckf<B!T~Fi@|L-|
z`At!QpOCu}3fR{d86cQ%jW4&4mH2XPNtd=pJWnK^o^ZN6JZu2k#8h(KiZu86`8NU=
z>REgUX272scX%X41hj50#BJ)K3gAZ|ZQ?w?v}o4k0qq?|MF*I3+ru6m_L-PYds@T>
z4F4(Omj80p_n)D_`FoM@FMn_M|FWhFIpoWOGjt;s52-A`A8mkJnniUo$zB;xmSBR*
z3uzE*tv7T&j~YJEovEqmO;I+^7fwBtulNSVy!9xcD-xI+BF@f-&mCM*am}gZ_F5Y-
zCZ$jm@skuLwvv4~H~f5K_vgZ~k18>MRjQx?-*wuCh_gWpK9_fG@~+aRTR$yd_m))s
zkfZ$LcQ02Y_$6g!XO~JtMA3+PfH9b?-ce6N!N;DCFS8{40Lp*QYMD>-Q}!gm1I3)(
zq4k{SG~i%cvVoqS9s%<3mpR$+eTCE3Ysb8cHOFq+9QNw8l|fobpP7F_3N1(u>_{QK
z$;g_SvFug!GG~-e8AowJLSoJ}*MdGSDvcf{P(6jg!S%3iJ>2q#_wUtvcON?ecesLI
zzTl(DpPM_pi%?2PvR^7F49ZWQ0;ehXG$Em)U1a7htAic~B>Zu!I?DDd2`Q33n4vB_
zHl22(Ym1K%#eH{IO(btzlxu>*WwH@3WnV|%f2Ak9hSXX7mj1HsEr?TQVKE3dcYl?=
zNY=LL>gh2(R%n%Xk2b}x#QM$MX^#>SN|1Jsk7x?7ad$mV&~X1RRIriY1c-A*B484y
z;=*~*x*m8wt_9*6J@4Cw@mS@h0Y^v23G;27j2(%o3TGhqK!gHEu#6Qr8Ob_y#nMuY
z$vEK^I=^Af0*1ddZ3AJEz-2!-qH88Of`Ur5(K~bIOw!r3$L(e3LcoriE_{)j+oYf{
zcKq<+!)$=QRKMptC?DwQ8PZivby(R4(4B~&p!eIetgL#U<73AgOt?uskPsAW@7}Io
zV4Ze$Ea$c%QKC&esQdU)AXA?+N|dAs^N0G8V=-qNktNKdK#Uag43r>ZEn17cNiFIy
zr`%ov0rA{#L5)x`wP(+e2g|YOHPRq$y#^s+`SWZGT@;MZ8@l$!nzs_gM#+`9$aPR;
z49B4QYMDgTq8#VWjeCsK6q5{tb2gffvQLA>u|*!=HI+Nh{sR<C3R6EDL_ob%lAJ@+
z?cGg2%283X;&1GX=dk(I|Ce(Jjgwnf<v9<3CEB5{v0;X{2`T?nHIfHMJw%x8<~Hk?
za60Sh>V7rmXQI5y78s&J;?N=wrPRKz`^I@~(iV-+ouR%l2F)()B*WhS8(K|amkDP<
zL;xt6ttSL&j-^VNxQEIMUM|3-HAI{WZ+kDF6zMsx9ZKw9z_83|3uPCztXhg#a||WL
zw@{ezLzk2WKBdtl%m8E!StqWR*xJedrWLwa;Cd+GvZUMW>#SOc<&)Z`g!`A}gk*=~
zsr;?o*EhntDED7KLh+pGO)`K$D9Z>XF=v#mIzY?#B_tH{IYwA!mp2m`TZO?Y@+B{$
zH7Bm+fP*VzLgl1@Wr1989GC~9O`1db=KpdJjcLXij?msw=Lf94c)7TcuUh8JqugZ9
z$t#uguS-C#JegE@`NQKR4@klk72gtR+&IXthKvaxlq77!NFjn_=j9N&&yh%1sq$a`
z_=Oaoc0ngWG*<3?XDGMf{H*4*Yy16ur>4pj3<qt=XE+umKX7o;QCQ6HewEN_X(&3g
z_lOkzvOS<8bys1fdJLGO>LEsh&&d4e!YHpIYP&l~gd$|Jm+Uc3O~Sxg>v&C~$l~Y2
z@3~Jv08$KVhy2ex>@PFdp5QKks3?=LLZo^@gkVw-;B9)-f@gFeWkN;86A$)Y+5DaC
z+K{<O5Q#g2;x4P!7g-ZcP*N=JBT94*jvI!s9QL0+51hhfjhM|1kD++OS3<?QqS2WB
zJ6dnWrlI*VuURD!w!S?cXIsL`*uN;K(|OExaGOu@D!$Bjov=cXxGBnh>6lW<LK@L!
z=`f-HwEpR@S5=CspXZ?dT!RSP;*ls3x{fOi_wg*DPv)@rI=^8Q-`_%QcE3&9W#rrZ
zJ@%dq1$<1sMrt+Hq1rv=OlTp-o7>?-sg&=JpLR;5Nb&I7gw0bZy*OADj#K}F4V$^=
z9=u}q!~_<Z-0~(>V~}T1EkGJZB6x?fU9SEL?%jf@ym0ecW}fmQQXLKsXQjT$)hn&F
z3=ATFDu5{Su$Lp7CVi<pCi;1x9MX`=LKXHqUDYS9IicFnN!!Z)yIkXD@pK~f=Xg0I
z%3MLK-!Cg`455k*>OW<uudJ3Rn)<3I{*D@qFl-imobBc}XkdQ~ARg#PVQ3htm{o5F
z*-y}S!4l^%38PJ3tVu6^q%KV!L=biB7onqIqjEXf0B0xwhh_4%Xv(|SZK#j!CX~+x
zIam8!&cB|V_Jm&&j_OGrCUja{f6=LbrY|n=TPIf03^AieuG9CsV{LbPDGLip!qp81
z+rEF^3p=k$k(V<sMsco_Cda-_Rvf%Xd|cFnEYs=-n*aLN0Dc8|&-qab4sE#*Wh1Fz
z<#Mub=Ah!Idu~3s{|o&fm24otDA6t&32B5Vj9menn`n{n=H%a$t8bMY$d77muFChP
zbC0Y5MQZ4!9rLrYB#G+SP@xDd3i*O$HP;Ts_p9t>uWM*R7!RGvC@yZzCxj<Q^kTRx
zRBak;8LP?PuWdT}4}1N8iWC}666uamO)3GEQutXn_-CW<)Za4#21C_Cn^Z*-`m8Ct
zJ~cEb#cL!Wy?zYPY2H0Ljq?SzSHs?;5XFZ8Z*OlT;>YufN;gQ4X`QTYr(NnEbz$)L
zhNN^ndHS@}d=*_RtP**$ZbQREoLVSa)+TKen=3Eeu(6L$k3q39iP^7~eOEL@=2RtE
zW8pP3vr{YOK8vnd)<%0?r(m#{;XR*W`X=4Ae}i-qXQ~W=okkm^=SGRJfMmwKyPy3@
z1P)S77lV(7-Ce_eOPv$^yUk#3w^rT?ksi=@X1J3u2MS(o+m@Lem@X7T6bJ|vNj7dM
ztOKS0YUnXu-(Q4iAq9pYSB3j$QSFpFP#7H#+jSYh^Z;*x*Bsr*<HE7jzY_MhEK^3!
zn{OiYu`liQZB2QH*DVd-toY*C%gujC?%-K)=(k0eUQ783>)+|PzQk&$!X2)k_>La=
z!}nT6^!2cv*RL&kC$MBGU2)-p8v?%Pxn8gPVX02UpnU^ViFR-4#a`8fGY<!AyHo2l
zyEQ!W`((NgI5eE8RZd4_-778K@Iv5rG`QXyi#b(;KpQMs)${z-jm6qWUlc&OBbnm;
z__CQ<!kx!@FRnhCHx`nE>@Hlv%QLw$`Y37!#-H4TR>C2akDR(W+EtxsBe|yJ+Jc25
zI#sCl`yU_p15^c3d1r~=;CTSCbA3kD{2a5`;|ChbztM;3)!}=D0JLpWpqA^;tW(W}
z`oaGWJGA%w@xb7sB`B0!tiulSw6282l#25{d|g89^T83Ro^efDN4~w1NGk-(ahQXM
zv?6N<`<zFsoAC^7D|c+M)Yh4As`b>$|BV<l$Fiqg3m6rngEZ7zB$K`y{aLe3LsHVx
z+M(62*xCGh8%a)Q?I@>74~Co3%I|(yIMmxA^`i_hJD;v8WEr`TMUFs)lV{7UsAOL`
z$)J8At;mD<6p^^D1uA?gqJ+r$o^thMo5>$J3_n3QW1^{XaFCSvzR;Zs^4BNJ6y|N9
z-Js@?n#Ll|O%H)q_Y-I1I^L%_@Ex`06(%e$V9hgFh66tAg`bnG`c50GtN(R6uP4l`
zS!sS+Jgly@^`T&IOOEyN*pH>IW@Lfatm0LahQxI<g-J=CsC{95Pk{3QtcfBK#J4RG
zX+dCRpu=`02XpF87BHZEr9dvYgEBuBHwqEZ)51cJ5T<F>{kyg9U3<89Upz)SejGKq
z*-xQOE9}IFs{jez(4Cy^%s#wIMiBBuJya^^0RXx{m8-hBxuIxkTeYi9P+1<@2B#z6
zVOiU0JVE50-w=ROX6MoZJ$8_!cV?1NT;Zw`x}%)M^kPXsR2CQ{NctC0E2kW~u}JeT
zzh)KRcV;iTK8lYaPYk;F`j4f#$Z^|O4{lQiDdsu#hF|L_10{)0c>iaPe|@DEzS4*_
z(-6{$HW}&I(^rz|6o?B#I_W9-Db3$OoV}hVr*oVd#ZZR^H3&6#9;};oz8L#{&9%p`
z<;2Furt2FS6%YQ<H-G9kpsWAb^@L4BMcs0Y_#L&8vQCloT8ct(`T?kd&Ax-D_m-M+
zpZOF#-A$&6ENXv)(e!IGQERppzHG+t<_KugnXk|;3L+Y8e>x;pg{1K(r`eKy49@1m
zC`dDbs!Zp-igurkw#SHOR39$LrRR~)$j}?kZm4amUoGZ;2%aD(ou(`lc@K#CpEtMC
zU^p5o1*cI!35};lM8^P>omV=pfc~gXC|*3Z@3HLxtM&NNItUK1d!$mL7COTSqDZkR
zBuFe556l)g6=i3Y^h@6jE>Y!7Jvp7ZP!y#DNfKoQ>Y%C>ownYq_#P11`W$nTQ4z;J
z2|ZM)isw!652i4fJ!RtL8VA=pl&|?-P_{1==YEwBq*!5F>^YZ^&Hg<HOMRTHpjLt9
z4xvX~W8?imkA7piKI=)aYC;kV-(C2xduaXQi+9CHoWfkMLkjDbn)~B)cf>l)zc9X4
zV&4KrwRF3_4h>iy+YA}KhE7pus9wT%pnWh$bNt#QltL*xI5+OQ8cDY%CE-pYrK|r=
zpG3DLxW1G{)yV6Bb6Xxif^M>-9@|c+DY!UNW6?^YSKi-Xjq3jnPM*Eb{&jssFjp}G
zy+c~fIK_RWykdl4w|})2xsi8UL@P}r9jN;oNEe)@jy&Y0|GGXW*gZM;LEp%>LzRBd
zHn*VJ0jdptvTJHVV}13a{4?);{`EtowXS%oL_);NYtW8Ti3(LXG?T1qa2iD6)d|a}
z!rCH#QQh|_ojje;1q&Bx{Ks>9B)Vyg$jp!qQ6$g=rW^!hzY}`hR-Oh0s0nR}@cqbk
z_Je5Cs#h9H8M-Oq{wtB(YlR0-R+Fy2S@dC46O5{9!hWB<p26<xPB)?7?b0ru(FD0L
z3bv;ky>cgV^=m*-?{=RWs?aa|{$|6lMFpZ`11-{9j^23(dRwZrj(t4FmKaDKVIwmR
z1C{UGz(1YkUyYb+?tL!~MMwXoEBNUzQHk(BS~m~<#U?EKi!lEC5(uRKmCr)saPsnJ
zq0^(?rT`h?sK{<YK2DPLg^O2J^?ZogL*$1j>1O?<m`KPw@{;u7Y($%>b?zKQUghWp
z+-*{EuRpgtDtzyi)4+)4>c0|WIXLd%cP&Rl!~|vICNI|99#ltG@az>vN$ARzE9H<c
z-6x@-E>5i$DyR^2k7QFj+5S)CNY4EmPQfRo%8BxqG|fQlaS{O=!EI)&HyF;aiy*|H
zZxC;&g6;HAWJ8%}0ajc?DUjIq2MIy}tMlUOdH+PVc|Hr+#5I(ilcOEV9P2&v<~ZA!
z6XNu$Uge7iD$F|vU4)SH1l%3G5jwf3&PIrxeSNNq;zb`^40@lPj?b(}&pxb_)T)}v
zOAT{8tR$oTY9^!BVnZq)U)D%2YU|>iwz=N*Yy28+gW$}mAI@%BTp%VUCIcCKupnuR
zlFh6}X0OdXo}X@w6Uhz9Vtro+|Du&V8uZn|(V%0|O;w+_V%byeR700CS=uT3ZsE-X
z-s5SI%YMrH<F$*d$GHm~y!)<3cMP~Dq^3?brx`9<wec){^|F%j$PEXauhyF`h1$u0
zVVUpnvV}&Avi6|sg#!+5J8}O{=t=7HkeHm~LpBoywOuCFM13d3h~;E)x?zX>?*K}X
z#?<6Wj%T;5c!!|>Af1~eyzO@EZ*(6Crt}YGqn)UdM`>u)hMnhbtai|<2Nyi8^A5t<
z*{a`H0pF-#pMpBuAEsRKx)}ns;@-VG6b3>nJ9p@1CzY-}wMLYZIJThY8B&W1VGWOm
zHEy6!8}?iBw6)+GRJt=0O)p&tC?4xI6uAnZeW)PefxdfLN%!!$>5md%W;IzQAH4f-
zwC(<kR3-d?i!H<<MZ^GQ(08g8u6N0R&_9y299U|>{0zNbICuw(`&g=BVbBgQ%by(V
z6|vJIb-Ri52<fY2im$-4)YRI~uWkhIP~et0`#hQ~6i7YAJ^l&jK_y8^NzIhG=V+G$
zaR2n;@dd8kV-`qLbyGW%=aNj#t*jiQ2A{xFKXGEvl!I<AU%yOD_LX@Fx}ZgvYFT59
zcCW&m0mopy<Rwl-^Gg_P^i1sbVG9i2i#a5Iv+KO-)L`IL4Zhuw+lK8(-?!OEZ0A7;
zhu*sY<g8p1Dgkz-+@?#Mh)rL!O4hsc*+8b14_S2)=#1rmy_|}dJ;1);6O)3<^I)pF
zpTz{|cI1)vN$h=5+Hv;vdv>=8d^XU@)i<QquQ0gFUQ3TSIpB!IU1;n|a`+B4c{Ony
z*}sk!`tP~&donj0|3wSH@wZ#&_&daLaQq$aIj&v*$9W-vR`>y&-q>JUKGnpY7c66X
zYrYdBGbg9vInQm#z>3ma-@iXcd2$$1D=i(WRnIeNN@DaDntRF*`>i~fPNEcguZz2Q
zPeI6JxM87dvhCo70i?2K20utraiIi$JFWTF4?3<9k)M!5B{+SgpoB;KhNj1f+s1_P
zePPpKW^nZUIN+NHb0XP+d(8<{rxvZ)p#E2+`GDSfL=z?ThKzCIv;uNo7e*zkQRHjt
zc%!{o^I77Lpid-BaxcQRCVxg&mP29A+9Ah}A7fQA&<>U$-xaJTAKpGck;DF0H2ZUd
zGE1%$z9;W7qanY8G*SYXAN3b~yaZ4|G;$t2U^{d(pAnA>(2?}V$-npwB9V-(D@Hc6
zvhVq%qGx@5h8WmxtZC*CxfXn1WSnd~*3?^{s2$YFjC`NoQJ__Yysyt_#{|70HC@dy
z^jc0Z{Aaz>MZU8SH|~$q7uODLX=y3+wAa<%SlL^oCEs;f+Wu3;oNTv9&%^OHQ!RPJ
zy3u`9M_L4PpJ8#psP3?1i|OpdQUVwLKGJ_5X%cq-<4FIV&HTSSi+XkX4+)m2Fyx}`
za0J|jJdSncySrQVfXMGh&t-gSYN~?^IanN;b;&=_pzS?C`iJUhG{fA14@&&ika<2J
z!(50nfw!UXXpzA=9O`mymu`ClV_m|?i!10JMN4A{rU&eoZoPV#;674j370h2+NKtz
zPv6ak{|Qf9ek_otIUB=Yrem7THw?W|YcKLZrGGcdmJdNhVLi2(SL${{$gLa3E_|!6
z1wI16%msoB7Q|SIF}*=+3yUhk@CfFDLXbAIBn#p&h}HYC08N#(nB;L+unEnz+W9r;
zp$-w8hT!%2hdy>v({mh`16!mWEQq-d${rqbW(`fK%?AsjZvW|MBAbhf7M1*zcg>7c
z^@6<qc#&9_YE&$!jF}OHv)u5bQ2DPu8-u`b*VCl0e0)OcGQ8>odhpf734uy!;2FR1
zF`Si%yFDGRp<`ucb{t-GW#S`W(3>X3F>m_%=7&9AAbm-8Piejwd=d<%`Pq}hNd@g6
zMpppQ!@FW8LGN`l;oGI9N4tAfb*J?uuYP{XqjmZKDri~azw_{tJfl{Y_hSm6A{mr(
zaX@G+WMLatm9?nAuDiy-_+`t-kEh31b+6O2xJ!zP34zKsD|n@<eD1GQ7YWhoy?;>Y
zvUHL}nK{+RShbrE!wYnv>L*k;(wP^AWi99pX!;z!$pV!%hbS6{VSY_;$CyQ->v+P9
zXI;lanzwf+tMs;uv$kpH`YQ(32aSz8c*v{X34t#+$h$ievQv9}m*0g>PFXpZiz;gK
z?F|jLvpce4_H48}%ip|`emK8rCnWyQ9F|JP4D85}XE8y`?#4tJ@n>BFYWX@TLM#T}
zq~k^OHeLH})pm#$M9#BFemS-Mm5M}RW~oD{xWR*qE(i0oKjbUh0=y>=7lBmO=$bWo
zvvT9UomlSiAmq~4{;&2YB^ecaUcq(*?Jz9Z_wP9eOS1HKug5t9@X`9cvONpmpF&k9
zWczE<+=)(U9&JS~zy{fci&h*<pB=44ozGmK>j+Vt3sx?cs*aFOEv;8yLw?Pm6$bAp
zb}qcKxW^Y1xt6C`8nTw-v{G++d$HHnE%YR-U5mU(HXVeiIiltVHj}|S%0Za1aw(>s
zokYJ6!M@5~eji<tql$)!*JcgjC^`pSB<;?Z9oWaoJ{Hd*^muH=0RsrGtMvwr^6alz
z6-{>umgA()`?I^2I1Xy}u3KOov=IY}wuc;N)0XJ6)9R9mfFM8>vn-Gi?tpxt92}FG
zKAW^U=wR>Xm$bD~f;!#~UQA|gtj-Rf=>jdL-#MS0-7I1>^D)d!gO40L@Cy;wq?L~b
zZi+<8zXKa!0F`$rX?fbB6i|g`yL+6TLpMT1&#}`T`^9Y{pHBvnkx-PGPjMshY90yH
zSaKl_`*^E8i@$d>scre*=k)(OO6ohnEG;b^1NI>RlXRjIHb<}=J!K(I1s!}O&n2WY
zDFO+W?<(6E48Io#;PoRJxB#jpSTIH@um;VBXFF~S-`-PuU=MzwjADv7>_9i{@FCJR
z9F8jleIv7PvfDkG#5PIUI=APsUyvXwoL&L@`<~&|Q)KuGanIml?J(|vnzwP;SJaSe
zNO?oBk|}%GXH~Mzku|RfyG<JMlx@-BYl4AdsWwO2(1kVUYK@}y6YoV5I+E27Bt=QD
zP|y>7@i?#}>^p%K#kOsP^Jrel_mN7~x+0BJgFjE8s?h~9Km}!T$HP8ytl7~J;~E^A
zEWZ60A)5$s%s{)$6>0lM_@;YsTPPLk=RbNw#?n;mic3yD+4ATx+;`UT{OOmA<)hmQ
zPTv1soc*7GfC-PNKfTZ3yZUkgH#!f3Q1(e9XEWxge+B8%7c57OS+4``74*AyGs-;{
zXYjWmh}<qBSfYG)y$RKWGuk=sJ4#T(F(hvVRbF75(hPNkx&F!{-^)3KHR?Dn97L+q
zZ+tk_(hE{o@TH;LpjD%ZFH5kIOi~vKtL)TW&pxpSyTkv7w}8mQk(UE5up6^-Dj8lZ
zCLsdJQ9|C3j=hdWj#3w>EgrT9bD(A+YpGnwdEig9C$TEg<DHJWMAw}?HD^u5&`McF
z7;TikOi;q(-gosJIi<rLWv0*@7<FVLcv>So7f{O-P_!IHe`tOk>x`QEfaB*v!FbR7
zk5XsPAFh!c)91Cdx-JbDYA8Q^OO0$k06(c+nj5UPJ`5=%=YgSvnAy?Z38Q_7E#8Bn
zD*a$sWJrrFIz}4u6wRV_=P(hk>l<VS<z&J5^F?%XS3;pfzzF(LGMBR!=G`DAR9G_c
zcAH$j-6b`YE0-@5k~<xw%_Xp)DsZpb`N{J2Gh9O-O~|M{cU0s^nXNOMjGYRUpSf(6
z*Zb5Rd^@xW9{b1dlLpP2{q&@q)}j%+q#7_nwiwJ-+&O{P(yfGiBg51P!wE2xxY8Th
z3W@YH8#`@X`06K5)LSj4sRX6S6kX;`dS2Ac<C?NkPWn{^A%)NkP8_H*)y3+ushOo^
zH4g9|b83>N6$L_@OSMsvyjCxMMceI#Rd^aan#YnYE-O6M7w;x4KaoPD+A`6oJ4(jt
zVT_4{9V#@jj}AS2`+!V*z$x$3v!Y;<Aev^w5%2cGu}`*-nEZ~r&rtffmBc1=QN?0<
z6&Vym=4p-f)(MdgULp!I!IT%m%wb-`r}(mDfGZ-1f^Rl~1=K>S7(zHudMhS6{?GHn
zj{bq8;kEADh@2_TY_L4<F`u(UZ$d}qvgSo}x0FZS3Dn%BL7m0IF3_Rbp%1Nlh7Ob|
zQ*hG2r89(JLKLq?(d@OARD7YuPX|FrnhB>nCA`8(rxB^3davZwqT4q4N@en6lv%?!
zR56bsO)f&&<`Slh90P77sV=dP+}@`VdCy(*{7BuFJZeYCM=TIaNm7c9-0e2euW$e1
zhzlB=NAMjosEDZnbc(d}o=H})8~V7_3Pq~StSl4MLd!9$fI{lpcqEt<BZHH1#>j|r
zrS7Ro%|n?;*H+Tx2cb<B>BF9_Q<yu0yOGUo+ZJIF1ntcw(0x@;BdiF?0Ch9j49JA5
zvD@{6<!F*Cq@G&s;NTcu({mfA>`7vPgeZ)Pk?S3msN22mEMz`43anW&DTOf8$(3I$
z`*C8FgC4>yHlbehF;P1e*IfZ*Lu$fkLi7<N=SjVCcl_@wd&|g>CT)G2BSGIFT02ih
zKOquHK=1|}RDl-95D)`RJqFZXGWvqRSW=ZNbemL-*B}~MGRww&G@|_k!VToW5oByi
z$iP@Um7<m=N9Ls2;{GsAaauV{K^q+&cck{s^u)B=dI8{?*ta5zv~-T!za`xNMVEo)
z>&267B-;)rH~&7F?k4(m_@|e-w*vMf6x8819$tODH1W>m>mh`e1|gxm8>NZ*6k?uR
zb>?Fi*ng62&<_@rK@HG<)-xg>4cwy;j_(J!O?KEGNkuY3S_PGZO8nM4ndx~XNd7Y9
zXbfVSR8R;N+kM|Spd2A6g7o=UQk>x0T`-I*=t+8AQPb^JWn_e;cxv1ht*F3f8KaKr
zu32V_X_bS?zGdq<y0`8Bim@{l*g(7HD{-;b?L}GQJ~?S<I^ShnDp<~=&|ZykZ_4Qy
z*I<>IC!B4Y`w#^29_88V(H!8U?-4M>&zdT;!@$r^OfnNb@wo}zeB8ORDCDVHCaPs!
zDy?_g1BC@KOEQY03q7(4`afSrpL`A4`O`6tGSx93XGD%@0QS$h%MN6oA-cOH+ZJS6
z4+J4bc*i4DXlQe!fylP&YMa&)Zzx!~FvfFkCfSBeX%ow#xtbF<1m%DU<_x}rSn@t9
zl^=xtq~kSZhYTI9d1DN&@E*)^7;9Cmt%s0;feB$m1StB7FR5AxE}zV`Ye#8zBrDZJ
zj3_8U8D#*_wqo2wID8YCOc0*1fZ7S|gc`D>po=&-?7PCjy@-+)Aa}yWW#&ARHKmg9
z^&~aSMUW%~D}8u5<shQH!?3f<j_`h}9y({MPh36;?`r5d-KlR|zV(W^d1dijOR<Bi
z$lmYUybw``%tIZ7HoX<8UdW9RWVOWEK&i2d-g;%f?f6u^j*UZm2<WQK<qE%r*6XBg
z$<EAt0t0!ftzd!L7cmXNX)yD}R0r*%;{)jPC5b1|s}KZ+*?r-(LN})?$wyB6;js44
zOC3c_yk^!{m3u3S4iu#d?Sm@PM%}RA4q2p?teb}NCX{$-f{(RwQ!$B<fL!z`_`JyG
z;FChYMyhbS6%_=6)I=sFrKL?VUL<_C$#GH?cE_lY#8V+j>QKUx32H8gsgY!40vV@d
z1zT@L0grgqU_s(k$nl*l=$50;p3uM(GpRi=dV=U8?p1bH^t2GUU;9+4v`C$p{XO~m
z=B3WdE#Sd$({8p9tZ4rhNZtVfsWV1*rNW^+e-kK)LgO8Ng(49L^gV3TVP2gM;S`67
zN-lQ>V>g;??IB7C1X$;845O=0X@CTw)^j3*u#3P#NO$jTRSEqD8zTea?h!vLgJ$F1
z$ddhM`3pQO`^j_U&P)HN#Z7<&AkRPs<5^_uy?mN7Oj9S;tDq&gCP^m)G7169+pF|;
zt;8A&L;b|_gvpA@DBD<o5OSPtG1H?PqdpJe_~iA&9*FIl>+cdp9)5AG=L0tiGtl4c
z28bp>CKqnR4)`_>DzL?T_Uh=@4#Sv>qzUa?^;Lh+`m0|J!wyEss&HI-hCXw9Bslys
zwC)oQ%_;8d3P|_dF_G^b!7cbRk9KIqT1oAPo3%_k`3kh!3EKPja-DuhULrGIAFT-p
z8Jrg}vO=c!N$_s;4;MhOvn__jvaBM{Mdtf+k#y)HClNWlwdZI=lUZW2E#?Z=1G#?#
zY^@~O6zSe2V~dX7*>D&6Hu0X2F>23a9*0of)034LZ5D(BU!SMH>|9B-FVJ;A`mCpk
zx+XUju8bQRoOKe0`rI;}7<WQV(4am>&8!K<-*iM39PO>dhgv~DLe6+DI*2oH?mOXq
zXO1SC!dKOx{o?+`>F!J-03-um$oN+>kTm!6_2v8b=AEUOwapsFL~BKz&BG~(09oB~
z>3Z+l_SMC>WpjN~j89Y!^^wflP^bqa3oS4Ca1&^9;%$>BTOVMcjmg#xy1V#S@TLM^
zxP|KS8D*}F-je{J<;E<L@Vtw$i*jUeaVFRPB#g<#uvg9?!S?AICt{mK_JOE}Tx2@T
zYdUO}sFNY8utR?k^@Z;33ooxN2<b%TVV^}OLk5+DiXm|iF`^Dnpp^P2s=%7Gmho`!
zN4oHJd*HF%G2plo^13h_A8}Y*yKc^hxW0W`oR^!mzOZRRv-2K@zE2S36_*oPh#<G5
znFgu%lG$Nrf;F}6ej6Y;uQJm8)FhkvN-{l7IURt-env+6)9r<C@y19*mWx23ya#SO
zV-%<hrV@<8>^0*nzP4-_c<I(O`e|h9u_XuJhqc|?@=}TRTiF)jrLePT?ZW*e=xhnt
zC!jn6J+%bnQ{zVy19RfYeJO|5zR7=VJ$8wt6L#nr=!E2@e0$tOfuGMuYDLv_fUYVt
zYaniVM-E&haytXV^^tW{YAC^^(?~KR$PiHF(;^|ZFBdHSMrP`e^ex#j-{0nL)><NW
z8#iJ}Vi;KsQ4}B_vd*ISo^c4cmJ^L%(y%LC$U~}0_C=<`<>DQ7z@Xh27-JQrkz$)m
zraX-H-Ku}6?)E<VP;Xnl6Ataj>*W#`G1bpn#}s^+auD!EeqC+uuUhg4`;i_IW+HL-
zYX-`-s;d>ebd|Mp7BWm~H7Yy&vKJ(&Xh%l$%v0+*Q#*Y{X`Whl9_s5|&i`5z;x)b0
zoKTs>WxJq6OA;yaXM77RKQXDc<uH;7@SVk-@WKXzfJzmf#pD1$98?WGMgw=LQ~ePn
zyQ6u1u!4;Xtfj%I5%>a$Af+4wUj8J{EhJG04tJ082vkkd1T7P^RzKK?d&~#AgmP)R
zKGieCJSDeFOnaf>KiHefVjbF9l3V;+!C9k|WB8+rgys)hfAL@)*3Krks+suDTcv5u
zF0*zZ?e-5Lrov`cKp2wCmH2hQsw9hpU;t#5sS}mm;0F|x)9bbLxC>Q$_>g4f0z}(^
zjv@fTxpGeQ=pO+aWzuaeSD3{hQ^C`%0Tmcd&;<Td4lR}@J{aRV>f((YoH~zCX-TN*
zbal4j6ll8@%WHOXx3pG6H)jg>8@|ux0&ehud#9*T`6}7|KY^q>k)SqS4!*+wZ=}>J
zDPTKNe2+4z3^hR@Pb^gbfYi(uLxjGewIfMaPLzK$Nn%qWDdv+uNMr>>^@wRawMn+;
z<1qY~%%3uvdc8hq2g|WPlHqPzZ#KB<dx~<~G1iiU_rl?tlh3z_{wDKfqqP(~c!h=r
zf%Cw{I@~S|z&}JBI1R1q13?*JTXQX;k_?h|lbn~t4ouR}NU_9Zh6flp+C`MCK}og?
zq|7>C^R??CD`PtWs2J>k>$)%&)CD;<Ta0+-i&YkALJ5M;$u?D(W?giVbp<VB3q8R%
zDCUootOjXrN;*kzMFEU$ll`LUV)`$3dQH9IA3^_uBm~4GM_p>zu@&~O?bc3UJ(-!A
z7`gu|kmkFe*0+D{HNw9eu$ufE0s4P_h*9c}fLNG~H@dg*Pao@KAS5JRel5xvBb^4&
zeo!jfG37a>%2G=tgu36l@~8Fs&ns$+x@##E4BGXyWSL>yR!Bz8{>oYnt(azbBjwX`
zc%IMG$K@K{+gZNLT}r)pB)<>*CK-$VDQ_d~QWri<=Jk`=#|<xPAVCg8%2^-wqg<8u
zgt4LXmzyN3Njy>ZoS^8M^^2_+LZ+i;h-pxyHj&8Jcv^)p+1+6r@Z-p|?Pwo`KE~;K
zm42H186ib^)q$axBvs-akWu;{@Q?I4v8o4MH+7~bvOKKQQgXqF3`8Hg0dN_15!1a0
z-4KN)BuK<f0bYqe&%kCw%jyysP{(7hDSNCSOim}OB_#V*gk=v&*D|`dT^rv8hE^Yq
zd!!IS0zefgG9ujt-L?n1*DS*mw+5{b&+H<Yn(cVOCe;vEPr?YKEj7^0L}6yfiRcNb
z;jX)>)<URCltcCRkR<vp(1DMTd8~+*?D4n&&6kLd3(mMfrrHN5ZNqmBx4L@Qe-UFE
zeLM>MBq6?$CDx!x<un~#H9ZS>%nS%;yB<Ish&oGrA-X5tF8SVPcwOYX<+5qr=+Qg>
zy`}YJlbQMdxGv_BQv?Y$Fh8om+Cv1skU>+(*j{Y|2TgQiYB#aRtrO`j)Rmivcf;V@
z5z@>6f!P-x3IjHre4rf*Os|<CH37KQZT!>kl+uA-;OymHF#b0j!D%0%WMjLe%|X@>
zH-ZtI{N-Q(gHam4`1$4U1U}kflKwZe{hkC!YQ3esjN{tl-GrKMqY|<b`zNP7f|`CO
zcCQAelGE%^25~mJ+GNl_42P<ejwCiVH+Nc$ZV4u88VybNz#q<vP0r0RylSa>){%lF
zbHcxm5GP4>1d8n<$C5o?opm1nMgR%Lv+NPL7@Sv03LVq|3}1`D5KQZ2I?8YEN6~`)
zehbNt%vU%Cvyma0<ybKF)z5|D)}G&dRa%*JW?+Eh`5R`_7)Jaj?93wa%U}dHhnyPv
z3P_cDWQYoMYzZ{BT9~OEL`r?oR2@eEG`ampUS4P0SFjpgB=C{!AH)io(WeZxpRS(X
zD3M!}DUm@J5e-~GsWl`9Alcqend>(d^&(Td$z77&fWIL;8D@r>VQf$khJ9ZOu{6TT
zL7enb4k81e2uVlyEWEXXMLha92zZU?J?A+%@;J|+h3CCx@_{3V!88zyw7_$<)?pBq
zgY<M)v^&vUOo<jeCux$nNzkvy)7{q$LjRpvF~=AF_zM|(lY*J0g5_vrwyW44XFtUv
zCP&6L36>MV1nMtO-?ZSl%5mdZ9SpomdWxl5PX^)1C8f{8_N=qMSOt;3OYWWL4hDTg
zfpoxrB~emrZEb^2cm%jK?Mw?Nx?W%i%0bX)u)GG^6pn?MbCeCY54Y}9-}j@$+82td
zzrPpE+^eX1=<ebB*-KV_*nBTJ`NPkv_Sc_QJQuJuJ7@0_v-i>aA~E<ZW25@a!Zum`
z{cF}2PU?5|L{MtS9@<4sdPF(RjSNL)H!SA(Jh=tNaCNgjl$Mq4o~w#M<mlBTYKZjG
z=_*0)vr}mUa!IMFIi(m~r3}qKeMUDq6rNp3+1tmbuDzX7US3{RTO0S`a%Lev+J)6{
zUOyk~862dI<nS|4t$8e*U8t6<g=?|q3kT!?haXAK4=4CIuH@u2b#al2iHXtC)vXw4
z$+4U0Z(4KY?qgwF*8H3ibph74jlH(nhPw2Ds07QhS}(7(U<dHBkvNoHsFK7t&|T2=
zfttw(@Cn2?5<;pE-ys+|8l%&s-|h#TJNtKFt@S!E+=H(@RX4c{8<^`nd;u{1qlMHc
z`V$1pdwMSSjn4!$Kw9bb3x?xGA9i(h)$PEo8L5s9dZS_LPGDe;e6jnqtu}*`<K;Yg
zW(R#fnPur0x=JdiKY#uw&Tx*y9Ezrf#h!(h8)&Vq7XFB5ESA(Vj)Pa0;GDca#JTCf
zWq<3oyb!G1)Wl>f0=CM?q?>C*^(AoZ!MxH|7mbZ$B#WCYy3iBU%V5;Dw(7&Pe7ap|
zRODU`h0yMuJKsO>0xPmgZY>9gTW4S)4SsT?U}0fl`2G9u0DOZ5>+0&lqoQcG^BBXZ
zP^71?Uxit1*#>d>`Lfz6`b|xj7H~99KEyU%TgA)IUyEef7Og|sDY8z3`kUlj@1Yi9
zEz3ZP>cX5DD6Uz^5k31OTyx{Xh7<#pm=EuO(`~0mI<Zq`Sq~lyV@ZGBx^?RleSD*g
z?GuNSS-RE0DRr0k?%uN}_|>ad8|7U0f)JE(=+iiQ^yqF`*$6cKj7>}oeu3=#{q_(A
zCuXV}yTZ}4MCkiq!sEyPa{AkU|E^hlLKXnwM$qd2jc=I$!KZig#@V4iJIGp;kEkl9
J{C4j8e*;b<+Wi0k

literal 27081
zcmeIb2T+ySwl#`vYPFT7RS*?u0TU8h5fBhCpfsSM<g`ISM2V7fXl(^WKv6&>iHb-T
z5RkOdCP_x3WCW3%lduVItgYvqzIE&U@2~prsaLPwv8v0!-d|X2t~tjXbIjSd&nd`k
zT)%xi0|UcG+25s=7#LPNFfgpt|8Wier6n+O48N_>mzR;o@Ax%$GTR-$t-JQSrZoct
zn<x2ig<sFOAp^s&46@S4RUATx+8k{{4RhCy>Fp`uzM6GTJ5ocg?CGy3He{$gJX>1x
z^!E*|*S$I~_R4*V?Yvc5&t-M|?S{3|hW9J3pI{15-A8%Osr2&-0o{FfcnuGDx7EA|
zzVv13JniwZ<`*S@_HUMqu(qlcbc}Fp*V|*UN3g@Oy*Gg;KrV{@biayb%CXS@bZquV
zhZW>czwGW@O@9CVp$GjZzn=d=m;BvBdforP2R2U@3b-Adm~;6&Irm7^`f^io#1Tt<
z;iYarDczaz{+Ai<5vJRO|LmCDVUfe+<KuI`s<+!yYT;tEt6Y@Q(Cb<S@(<k{%U{KH
zcHyC_*?wp*c%7DZD)OAyiO8R$lwyXuli0J*?R)5I+Mf8&i}gy*W@=Df91jZ%7p>bH
zT75MlHa7OnRE_+zbNdP`+$KXFNjT4l>+HrAUr|@(Fu1njdDv^C75%)tyalL7j7>}$
zKiW4^?0v%Q+eJA!eI@7nu9%oO%NVc1SF&W@w#cwK4<$G4|CC2-8|9&FI(IzIXh;}$
z`{c<%tz7C@UYh0N?3(M1sJea;-?)&^-FddWkVS82l+u3kV%eiqlcC1uX037Mzy46o
znzwJ+!S49^{v#0!U1{l1$1lMqVY%7OBiW<uA?8_ErKMe#CL=_=$^Hmm_(9i0a%e}#
z*V7Gns%P0Y5jy-Vddu^TT%7u!{<_J}@FPC8<F^$8$2g`3;*yHU>w0;8Gz_BXKR7Gg
zKjF$KF;yMEIBemb-5NzKz>u?Zb>B1dobjS~3EP3X>8#N`A*R2ym}O9;rH_uiT{%8c
zCJ>Y+j88r}x+<sb+VbM85zBAduH#RIM7!?_rcmcxB*We2`-NuA%*`w3H|{+0+nvI$
zmU)+PZ@u#Qoaxv7>FMdFEsE~*wL>)L;WTy6?P~5mtb#A(r7V&)?mCa=iYQ3Veg0@1
zm+&+)a@T3!ovaaa<wp8NcUi+4nv@Im4}Pf(+Yue%<}{R2#(&UZtn+1DoOk3&&msl!
z;VtB&UHEtJ=y0dlGLxT{7f0RwHt@gsb&q2B&Qa$MTFSUxlVQ*!F<aw>`Nlk7kq(zs
z`80`zv3$!f!A3>l&LgZh)@-~}R8;iQjW*o<(ZJ8A#UfAQaY%^s{Lk_A3v-j*@u`(}
zZg1XO<lH_Pe&xy)FGiQnm6m_4+gnf`Ech%fElquvgX#RfEnO!$=Fiz3b;VZc^}60E
z)E~;|aBFhibM|pvoQbqz=#hghjl|5D;u@ltrjy*+irMUS?(P&lw0-+_{kVkmJ2A@9
zMS4pUK?=peQtocV3X&%)#buV477hBUBQ2|suPq$T=xC4Xb~kg+FsZFInDLkAFKO;B
z_8XmWQy2g8$RK5g&Av6ceReH2t9`}phL#k=GC8L6cf6Dg3=Cp4coUOHUxb)Hp7!yo
zfjy)bQ5hw_UT7E{%V!*YT@@1@{&+h0puuTRvxI~MwwbiVq~Y|I5wmVT4k^i&C9F&U
zGrx{Tvt5f>qgZ97_^6K7>nrD3IC5=igL=za%`TG_*$dXKHnnF>*eu>%UmYbe^YK|(
z_ty0{6^gH#nenw<%ikFFDc>{6`Yu+xCdqwq&~_=_gyw4Z1t){ob?O-hrFY4bkwe#M
zD7m;nR98`Ad0{e2hd*d|mfX!`*}6(XWKjIl`+GGtQS#1d)C~42ft;}uS5qs5wFeDm
z(~?~IXd&iTukL4ao%&!hoL9!59Y5Kt(a~Wo>f3~k7i`hh*3NF|jS&jQK@%?eI^Nw#
zTf$l$8x_2fv19v=9R^c<ADEav)YWaNl3I3&UetA8oX!YqSeT4hcJb+Mw{4_o((awy
zwEtw3grM`x5V6^=lD!c+CV8G5ZbxQXt*cVXKf8AOi0I=&CN5_h8$(5{_3?b(nby5C
z4)NONnY(?Dba^?97qT=qWyHknCuXXy=W6RWo83I>zD(P8P@jJ428U=}-U3CB4jSk;
z#A_P1xEr0myY0h8R*#Ygdy5Yw<<wm5@ML$|N1aJaGR!clc)WFyHal8B-yDJsG{p^*
zFTA^+HX}aUYTdn8YEBkDvk<?Ry!rCjq@j8F-CB;jD>of^Vrm;W_y~(7lRDGxJj$l3
zsyZl9B-~>9AkC;MobBd`NEspGB6{|A4!_{?J9@~Z!@k2cY-TQ>W9eR+3{EOj+zJ1{
zz(56>Vu&!G$!L0u`5;Bv*4Fl+T-3e*Iktfi31_>R#Th-tqvHiy#k9Xzs6WdG@%wyu
zCR04rlxk4ozxzBdGY*kZIL!SBPGu_9Pio1b)pfRQkTR(qW?d<o>@qju<+bg%3&(V@
z8|1yNT)lc*KY1HGgIc@>lR)m2QhBJTAa(4ffOMYQq8QsCS;!Uz`Q=h|>Mx3tbC=>Z
zk~wi8$s*uHboEC^_+G7jQ7B0pO0C?U(PEzcNZ3s4DE{`LwKY^?j|Fw^GI@gJZeQ`s
zu6UlW4%kwsF|YU(+#Lr&BIRe-vCemv^{VQHWdeCSabC!4U_0TmsYCgmUS8`q@3Fbs
zbUXafAwxMk9(TkmTyWM*UYb`kg?rDLNB7#OeNVl`>gE)_)&x<vlm!X+wb`}seW?gx
zA%Di}Ra8`rXLl^}V>?pgM`2|<_l7&@!^9*$eEhhrQP<flXK8-$Lqh|znVH%6UmFAp
z&daa`Oy`YKX<gXgAxod0qnCRtLW0ty7CtfB$A$l~a_wn+)Q%Pvq&v`XgxI}6Z0FFY
z=Msn`O)+I_*&QxKyZYjFm82iW#>L6ox7n&UEZ>)5chv4U<;`r^vX+rOr>Hh2+bMRI
zelNT%Eo;F#O)5%)Q?7WY^_iH21T&vSM)9Fn@uMr&?yT-vj4xr<HofmN`?cH8-Z@l1
zS)<vqm`(iX3wK&ehm%SRT&TSDmvYVCm=Qc$6tS_ES$pban9$5{>1e73Zy?-FMtnzN
z_K21i)n!g=R?4vSVf=D(F?&lI$E&q!i8`9iPJ;=luHjAtF>C`(CP}#|W}Ek%>1(iB
z(Kg=DJ@-&qL9?66!msl+J&IAd&8D^{#Ddy%bs3K$*6Fb_g}OKN+F#oT`vyicLyJvm
z2A#KdnD@;b5g*O57Ou>lZEqR2#7cRzUtD7$l0eOJDTwuE%(X4jk5MUAph$h~ykSr!
zF<YK)D_lDr>B(N&9I-SNooy>-o4Juq>@a`!P|EwB2A4;n&Lf$cG+*(NzVX$mf&7%m
zX#^u+MT*&-<Ma0qq+YJL!<W&TB9k_ZdyXgjxtfOMg&?v^&42JqX(2o4{JH}%j%Orq
zdCAM`WkP~a_DI$N#Eyon<-x>k{(-?kK#thB#DQsVY7fwskcpaIypC1L?k0b(-UxR$
zEcISa&RajR{sLEMead(AV*ahdn=HC-id^$%b4Pui`AKHw&ze)`zHB?{a4mW<E;hCc
z_GfNK3)D96KkwQjdAYYLA|g$s-J#puFLmxqh>@8ffruCKx!@j}o0~tvIdE}4)!;2s
zR+Ol}NV~pzL&~d(j^)LUXL@;V2knMFdiA~8l5d>R?qt#se)y`AML@1Db-q5y?ubOT
zU|dkRMnX(Xj0~+6m>_k=&u!|N`Pw3&FiJx>K%=MO=Js{)a#eq2s_Q!L#?ChlCnx4D
z&BrhH2)K)`*|hUbCGGIx!v(kZhCgass*PBx8(y?mH5we(b(`y9YiPs5Ivc$8SdptM
zZ$zDn5;%4CY=su>wcf~uXFkGr$n8vqJC;s*kry=Mn2Pta;z%8COlCiP<y=N_)1?Pz
zQ)V7Fs1w-F0|dA-V!kdqWrkSDMQxg`<1GAwmlu3H7bj;I9>L47EYP;kJ%6LfrQwmp
zAWd^h3|CNDVRhum)E0?#hqyQ^k4~1yyEb2qE>zPt+u9pyt#B0nFZoi5KffOdF7d84
zvU{grzR1wZv@#^_$dY`P0G1Hb6xq7^`csk-qhr(Mf>oDh`%A>$2pUzEH%ELe*qh~&
z=jZa7OVgRcQhFdLBeA$;DH+C=x9q!ic-Xeb!Cb1=)=y$aqxVdAM&<L7l2h+XUCR@7
z%fvVv=8ji1<I0A^?cwV-;YH)6R#-3&r8VkmX1gBS!30FNz{#mr@q<eTt(}F5i8h>}
zm%ixdzF^RRB@Rm6VCl0{)XFFN&%D|!vB9Lp`1j%bA6_lav=q15cd!B8GbIl^RVHB7
zp!JRA!7J5Ih^d9z)W{w*stgsX4CF=3P_XT|9Af6AqD-?C!1393<l2QH*u3SZn=D1G
znbrmXxgTn3enD``S9dnadZnxWI!~j4gfHBHxW<heH-4zD{uxoINuB1Axp;F1i<W6V
z>h8MuwOGnGA)_63K7%Lv+QpLh)wjMnII-NtJa4Bgjgj9;+hS+xuz=*p2c4OVp2BfK
zi&zB);hjIUvwyTI<Kv2`k|~J&*?jtLCIPi2H)jU>&9jHon_NfVbo<8VI=R++c|G$L
zi)|bniIq!OdGz96f0EdtKR?xP`F6!xn;+Yl`LwnK>A5-H1*#&4F%S0NZnvCqtGq|+
zmrm^F-Q}--%YElHvZ>!fmSKjrmX`k9L=OpsSIo_QzkK<E2v|aGUR#b3nB5^RI+^m~
z#f$u_i%d)eQx-M`=yojTJ(!*;I@sbi+*;_(0!IUoA!Ne1Lpc6lA^i{d7tftmzuVE^
zPQAUnfU(6k^Z=2BnkB)%EY5aFaf&78w=8v?K?YXroc2Wp#!>iizjD`1i-jK&uno+-
zUg9HfxO_#wJbIa!=<DURTRyM=(Pw9nj+Lw@jVkoW#QjtHh|_$3boWqdRi*i8W^cG<
zZ<u}2WR(<0Ss<S`)^Q)R_j#Uxlq5F0kCDZ+1e<-$Y~(n2GV*b9O46FDwDN5EoVp*G
zNqIYA^V`^?7qzHyRj2>CGsYZa?T)=+OiTw&8sdkXVKnldOF&0gq~o;$Kf!vv^^+g*
z_5RGXmGaEyWI$Pu{@1Zj<F^%EI1{r5Vl|TWPw8BHx4LO&d7)}~=(m%}NEY+EkGL-_
zus2>CPHVh8%;kH8^GkW~X0i$f1zt?V$})9E%yzZO3*^>yFRH1k7J5ofMGnmn$G1y*
zWS|kR+0w0*rQe?8I9_4lCYYT&&uMt`#4d#X>Sx~frVVo~%YAo<@S7~dKk8)^Yc9T1
zmCiBi--x$*GO;R0;x%m~+h~|X6DFo{;LoF+YJ8tweK@_twy(pjt(`=Kahz!h@gDb~
zkI8He6}&;=iQd_f2*EzJic%6qzHA|`qX<a@)kX_n$2DmrG>l8O=p7!tD_E(~Ti#4U
z`XJA29ga@hRkj_EiJfQ|&C5v5pC_>*z16DB%j+v{y^|zgQKc=N0klVE9Anh!(Pwdi
zyqYx^7j^#?03s1i3|UU$r1f?I+nbb!iHmTG=_%URy*%G^^N!nGnO+efU#b~-r82d~
z0q=*Wq|=43=?OYb^~EnXC|65it1k}&jqxD~%A2~PH*EA{lCHg@89()F7yEEhu7R)U
z9+L>mB33qjr?f~|&B3cR&oxpm$x2J_bm;uU68;iC(N8n=vf<!9J(ux9%h@)2^_04e
zYMFjbVRp^?O{yLX#c6X)9i6UI)^tYPzKf{EUQd$xhY=nbp4j*<!HBstb~K=dlIF04
z=nxo7>BId@OqR80MGA!)bsm_RNYRp`Py1{SNaH}tp5oIIf>6ZTvG7GC`|zY~;hnAH
zWqM18vfGxfD={${6y5FrnPD`wN^%@<-Yz?R#(?736JRndj-PyO$e`8_yXMvd7d#51
zF3%4p6+f4Kkmd5>_391G1?tp^fRy@_Jvc48!r8=)_(m)a88z|t-sh4jnr_sKm<~e_
z_1s{eEQc4I&FPgmX!ZHMmxiq+b%d9-#;xcplg!Q!!&-Pfk9Mw3z8kU+_81P&q;4+0
z%UXMNxqfg)SV+kB&9?frQeWSt)YmOd4UM{vI*${qcBJ0vr0q<TQ85Bm_pAI(-q_f^
zx~|jprfm&MF<ayVd2ctR8Woci+?$#2j+fW`{QO58Lh-xGs;c!D&ALg97VdDFJTe%c
z+SOzfF+8RbuakL*xZ*d!4hA*PWy2CTJAb_BX*djDAcZTvc7Trud^lYYD|9)+WuoNB
z$eV8czy4g;<9uvsF0~anuZi~~c@To*2%po93s(ew_0rh-IrnRqx8-0$Mp41-&E$+W
z)$Gdcf%)GNtUSV%Edh|ZN$@=v=O(FzG1Jq|^77u(4&vuW41_tm>Xa2Lnh6LUecYTR
zu~?$$W|ce2h((){Tw%fbno(Ju)+ZzNn6I$9DLvyckcg(DJ4ppo7X^UjK~ro70|LBE
zf`ep)o&iJdu1AutPG^wu-`co?84SUBRn@JTI{a%kZr=iEWACY4j1=RG0tX(qT@3t8
z$E6JKLj8qC_eFKn<U(d}Ue97<d0>rCsZ>dr+E(JsT7iVa8YYR`vcswk%>cV?1D17E
zQCF8i<_3oCYv)?2M+sr`nN_Zd`Gp^xjIj>mZ&xy2Dt`a;ly?`5`ZizsN6vwPfs}}-
z#6)^(@#v_d6-g=#Tb3UqH+g>Yi7S%RVmSDYs~rat-*BdX)JJS^SQszvxF1{?v%mM?
zjt`a%!$=~sbklNXnoY)grItlG)e;ybUA~S@FI*+&W`Ery<0s+fE6;{bD8(h1Nwg8L
z2~!ex8Ld9a$Y*kPdV1P&vO*+pn1&d({^p4->u+u}Ut>t2P!>j)mn?+y9Vz7NZ+gR>
zyF6BI(lCf16pUci(b|g=H6tX}bS%weu$^cZ5*^K%?5dF$;G;Q3aV(8_c7sj0i!9lG
zPO_N8-K9K4Bq`oDUX3T9>&cBxrI(dP0Vdc2_c_L8Wo2ywIE2w1#9`Ep;WO+JyUfK&
zY>U^!z4MQ??dfXM&95WQE`*J`L>H&wy%=&&zSZ7ik^7{X<c<wXNR2Lewh&S)Q~nMT
z>R)wnxQ~FgFi6UsxwGr!t%t50Ju{JvuKV18oeGegFq6b>r`y+0<fy*yu_B?wpxD<(
zSwVF7<?=^N_?}i!17EwoH(wV4R>+$-k0)5T9w_qT;8?llCojb89cHi3-(?dQCaKz+
z@uD5w_3C;)j~_o)C}stmI*M$LIKE<Vk?i@NjDGmW$y-0&#^Em{5v~9+YYX9-Qm2i|
zhI2<<EfxmU^X>%cI_>ArovJx9^eR6kxB&Z;T&o~n2>SGALX09f6mM16Vd6S{w=Y18
z|4rxhA<jR@W&3NRlO}uFg^X3sfC9*tfJ=5j&~%ETJ`5Oq<fD-`RANjBj-VMm#CY09
z)<e&S%6!RM_9&|kR7TaW_`T?jWp@{z))ziR1Dp~-MnW2B#tsf7n9kDDxNt)LO>U$b
z9vi(`30+H`goz0mvL(D?V(Kz7dUhrz^0JDq1IoEtJ8=1GLBf=p0}+)sq)QIJu6=rL
zUwrcD4Mxdrg!Yn_*1^7+P?iY6@$%>jfw$RjdxG@X>+9>Wq!tBO{B8vrcnso%IQ8qr
zx(2o6chWy=GWG+0XW%aVN!NkJ5n%r*j%u-9oWR@q#zFF<kJbN;I~V#+rW>viAm2Uq
z6tpw>b^Dj^7n6Itf&Bg6z7_vtA28;j95W6S&|?Qyt}&cq#h#w0P}rE_*jtohR6gDL
z{Wx-NxD78a;K^|j*`Uu>nS|i<@&YIW(oDQ|>iJV-Zp3{tF`Yeoc5C7-6?~o~pI%-B
zhMJhf;WJONvc%}==Ti_lBqPVAPl0iimd5fC9{y(BuC2ozeo5bGn41SUSGW7khTpn%
zYbcqb_e1-1T|>i{PQGVui}R<>R>bDNN=T>(;mCUa;>8|ub1<=sXKQw2TbeADd70Tn
zY&7|U%Gwu>nD@oHNREnnP6K@fu!-C}@y_yOP@219&zs0Nq{S%)(P?S*G|Q~#i?rB)
z1L{td`=8;&n|Cz+LNM09cjf=*H#hc0&FZOJH#e{pp(Mcy4*wjl&YR!bY3;K`NI;lL
zCT0o>KY*VEE`}$(^D1w(;qs8+oYDc0!$!>mbwzg;Fz&mAhcq^xuk)iXMUMP*%yVm`
zC<o1&U%!lrxh>%GX~RMD);BMclKdJP8XWqgf(YVIvbjwz&R|$;^h0~2p1Z`0vmwk(
zOazJ=e0+7WDII8Po2b>LGht$BN<HLUF+8M1WWH~n>aPVi0phg(=MnnRnNoG-?BolO
zJBYB0;)F%sB99LJQQnF_Q{?^d%3-{VkbGWVBy50#H^9S<Bf%zCb(d9e&n6Tm2>HsR
zv!C4M*xb}@5Bm>KPay@c>8mD%rUit;_vu0+BE|8Vsf0qce80=H;DZcDZsmAl&O|BD
zW0-jhvT6h1)1G}HUhjLBgl^{`-l9IU8ultAwCprc+B?bS%cb!E=Q|#uiEVLyI_`qd
z^XH4!ce`&T#==gUk!G?j*}r>?C~P#0icXbie1;Bx@0-Z7W~p8WDFyX3_p{2{+AW`4
znI&o;m_Ad?snJ0~FD;z|6f}N=W8v3LVtr4JOjVzJ=Dxg?Y}Hfx6}6ciaK~2x!1)d$
zD15vc9o8V$9-ywv3Z^m4d<UGZX-1o!;WDci&g)B?b=>>t*dxh?mHYHtd3#awK3~|n
zT+p%W#>U1jzrA$=nKO}h$9&w)Ws#i8bW_c!vX|tT^Ljdq40hzXH{}nXh^!u_&D>W1
zDNf3khuJ$B^mzdi!w|DLm;s{iX=P<)9qS4qI_<eTNJl9~iR|(38mQttP!Nl$F+6u1
zo_>1G^e(rEA05_i+W9DLFRC9`BgVUni-Dat199sh&~J*a$gS5j3QH?e-Yhxx2V()D
z^VNO}hC?vDd_q~dc6(5f#|(;wGt$kit*y@#GaY8Xhe{?UtU$7U;hpvB(mWvSQ){Dg
z);x(Lh(_=X*x=-%)chy8h=r!i6kt47C7ULX6)QRQRr~7d>Qp`%|9*3}yREUIL9PFn
zm#@Ik7&fjv5ELF7*1GqH_Tx9!7!DH@9X6x6_(D>@-a9I7bq-Ee$My_9N><&5ghR1O
zNmb2!e0<^D{r)IStj@vHEbZy{$Nh)gk0)!`v{oAqE85z&R;vyxCJ1a<Z|J`ASceJ%
zpGV{VSMh%JD=cDEtjLFqIGm)YZb#LCiBpCK)spz)bb=%;4WDA$wn@4;NG}XtH?c@V
z#=mKievp(J@q}JpCpU?5b8?#JEzT%pRFMpeGaY0a%K>r<80P<!+&tzsWWeFQv`8x^
z@w4{D*|G*T-Yx47f>3(Xb>{#lr<jfh{iOYB=z5vQ1nCkfmJ#s%rvF7q7s^9U+7X0?
zP494{tydwHB!+Wtu6sItyc`JWLqd5gDBSUujwNA&od|<Nzz8X1035vhr;msx&x<W3
z4EUMgLs2!~O3+iWlBwTf;M;7Ue@DrgzFhy_s`mfMEhM=-O8%h*0HFCFsj~l{JkNig
z;eS@~@NeIXdX+4XIzs=V*2P0P9dW;GaZvCUiaTnreo;~a7D}T{53+y+-5P&uOMOE_
zQRllG2PkW9BWJ2?_T7;cyJ!*${~!~i5{ppw6n_Kke&0JuKCY^+PSZOT<S5nd3TPO>
z|Ht~4E6;qMCMG7v8!&qpns=zb%?<}G>BoLe46(6kLla!7g<Bup0T%wQtsUZ?Xd{bc
zl(`O)lYLv(Z%y=40jeBw5BMH0!>zTnwR7E`%UfmYFb^<$pQ;kI32r=M;|agqE3uET
zx}MxU)epv3<qXC^tx+0q-~e8daK%Fmx>T3Uy|P))ArpW^1A>R1(g2j~bO@A19G+Qc
zf?vGa>G6MUy?<xsco^<!Y-(Cw`P)^{rYKV)XskzAVIE6={aPB)3`le<KrvY98!MLM
z`eLz&m#akE{gOERwgT=NE+0!kOm3ql{R6%KTeUL(cFXy1Ny+~Y-S2<g-M`b_sho}4
z(03Lrxl|YGA>JSgQLytPjBfz{Iszr0n9iHh6O)|DN^hhVNImH}B>5RbPrXsll}F<C
z=7jVhdKcBKE#%)lbU*A}*$%W;c#4Ix1-!Tgk=6w8)4|CT^{En%*{9z8caVJ?!52ZD
z#n$wY?=ei>kz^T@oOsW5(4sx(D@f&?IPL%VUgK1ZM@D9*C>6!eLc(K`l5bQQ{S@}8
z3I*^#33XfO=8&<rwhpyxzACZ3msCTyco!;UoPB(Fe>%$b>^@a_blgue*MIm^OJ#L+
z79k<mftb6xHEt#00Hb{X*vKh%XSU`^GTH+if)mutMy>&8L~@Pc2#blioSrWl7MVJg
z%RE`}i?n^C#f^&E+S*a_PyPbVeMWb|>F#W=sPkudCO$t<EFyW$KwS*+jO;$PfT=QY
ze$g$G6ZicJKq!BFHr}t3x%``hJ<|2zu|3<fID^VGi#*LOTdUdrqGXX|IN!6mdMmv3
zlKKZe;`LStV0{div-fXV-$u2F(0CdN4-ATxjZ4P&E))$aS%d%qyC)s-=$$i4n+08k
z-rd;B17%mwpr|#sJ%d!enFVxPyIo(&Az8E2dJk~l_~!7M*Xru(K^136wdM8e*D7x~
zmF|ICM>!UHo95>2bauf@<)>}G{VGl=HDSn#g_94-Y^kez{SQcg#nkk!mlxbPxdw6F
zaaH<!$Wv_kYu2lu<e8ry3<}%WzxZ|j;Ef=Zp&l;sCWMFn@d3D5YO!At6#hiX-aNCG
zfxRz@DUl)-6BCQB!^OMXg^Yc=eb^<Od|FVN-+n+nap-v3>qa-92t+qUe;Zj^+EW;p
zlg;*(qwK?q*0?F+X#C<bPw_@d{nF~ZWmOwhS_u#S@tFz_lCMLf#o1K`5Gn4XY0XJ!
zPDCoM%85%DWGv_Sm8@TN5Ykm*vRd8gcz|6m6vDQnb~&C3dY>(xC`}oj*iYZ~j!&o<
z=&$Js7p4RDb5~s@JLyu*zPNwz3j>=?#u6(~E@dV)^{6uPRfc`y^s3CiTiW@baP>bE
zOX^khqe)^+`2F$H14#v&#D{)<u;=U@<W6!A>2%4x_>{FdL>8pzHt~RoDVbE%!E(1=
zq`kgc+x7C9@4#3tuuBmn9NV=`lTT%S_hPA~ROx);CuWA4NCvn~#9YVIYy%6wi}srx
zOhjt%5p@irVQl^GFf|Ps9V}4Lj?V@0ZuilyCqVtQbb)AZ=w_04gO(vR9&kC}B5p%}
z68HD-(X~b*5K3%n;m;ZSiyYS^m!1QJa$LD~Q~8MwFE6NBWB&e?2&lf|DR2yF9jI?P
zEKWCeKQi#WtuvyR-3F^pnITFptDu#{tgDRzBsw869hssL@en7cJ}BbRu|=TQ_(jx~
z1GB$5C&{>>6{BOH@>A`A@EVpNRr{HViO5+!m!Q5iVcdD-)!!e%9_r9|2^4$dU2%IE
zX_QR3#HQR)n@F80mYhlc``yEk$~H)X5AH&F*Bi`tagO6;7mlqd*ae%uJg3VR(go3y
z(=q@2Qhj`O*}N!Jv<9SnN9a4UN6$|Cl%~5*$LYChFI(Vcn39e8+Cfae`PYL*ybFQy
z8QQDcDDo~YH_P&~Knc^<($En`0wk0oC<{aDnwP)2k*p4bMs`Y7r;mnhWExQk>7x2c
zm{(KOnZj;mz^#)S2V`_oZY~zzjH=pbTJG%*CPMCpn58#q(eCaLNzAaL^M}>F0j{@+
z(giwFR>O#QG*D9FaDkAvKn**PMx*~Irv*E*h;q#+kUrCg=~wCEvvjZEkdZ1)-?L*+
zg}prNr-$0`-Sz6<Y}xnD+8lxqQf6o!%S-FkzWr+;d%`<fW8RVw=r_;N1geIXbODO#
zD4X@NT7h6f*@O=&(3~M>BJPqEr9Z$ZkHmThqTe%hyjf`qvmF#_uZvN3RwCLJhPT;r
zg+W(P8(g(KVxQ+tbRXY22<~Sxf({(eJ!bHI_zmS}kbziD!Y?9=h@MS|jlF}2UU+ZU
zNfMwW_S4^`lM+)be>g`KA7LKzWtYg>n@|7uSIl?_@k!Ls0-S%RKbF|}84r8Zi}_~n
z(f@9vf8)*j?esqmCJhNXs3TB&i&}pv0JX&KcXZ<SoP~)pi|k*ujfjrAo#z`;QtS`#
zuwPo3OUA1cm0|0SZ}<B-_vbNw-JBy!5G(NkT%?TpfPO)_e+Qndr=5-5=WVuH)5>-f
zdJb=}&j5}1W_gK5DB7O(Z!BxJZj(TY9Zd4_Fe-?eZ|J3mYWY(3vC0T3DU(qYe0$j0
z$(20Zd7R&7H(d@f90ti{#Yi`gw^G=6`eD$`vbmb+Ne5z`5%_vIs<xUyXruhIq%nel
zVL=%Wf~rwLlG}6~^icq4-B4s4nB}Mc*vsp&72{VZ%!{G=|8xXJwQeG9CuVE8G}l{<
zGTUaN&jzMTYj-DWYA;LwqN@_Fi#qt}$aC+_ML_dHzTDhH3zCbn3L^D<hU&fl)r6hl
zErR~OK~Ny|u>V3n>Y<?Vly0~G_t02{tQRUhrvb?_MwcH%EIhwk|4`4>)pcsLBaakU
z0HZXWAtZ~vu={yza`HidHj;Ih^iCdxVp%TeIA`;65~x4bVZV?SE7z#J@;_XGwMI6K
z{PxsqDLcYDABYKs3h)q$DfmZ!)RY&Ko|ffsj8ehWZUgHZRrcii8b)@VnPpW8$6@6e
zkJ-m2iMQ#*twrAo3)mIGR#|r?p8;Hwk~Al%(ygP-EXnZ^ID*LXnTS-~X(}{7TZTW#
z8zII^WBPi0W@aWyneo^6J!)Z7ufaPKNCkL`(hLGXX~1$-d)TcK)dt6vOR55zSu5B5
za)|fhh2KA}`|;0;eN2~_F8?L$@vF{HT<cTby#0x@^VdyWoIh}SA9~rj`={*pl^*wA
zZNItdr%m4PsSj5D^1h*8!9JJ6L3z);DDfBt%dAmaZGUX9%3}6_sQltUOm8_QamCNM
zA5h?a1W92=gW)+YB0*`;GD*-1I=^pn?NJ*Wn@g3UqC$zco@$IuI>^h*i;0OD>zucI
zosrRt(sZmXYh5+8*Rj-!!-sjD&uCA3*n9J(Yv^~ie)w=73O_F8XoZB<^pZUxDt|rp
z%XXanVmQ*8na2ODxDVyd9*?ekM#@3=2tZSwm(P^3AuQ`1T)#%9GA~@#&5KOMS>Pe-
z9k=2K%4hlIb~Ai=CWCTVs*^9MOjleiAvxJH(xb6=ymC_O1DoC*-m1GRR2k_$M<Fc)
zC3jz_<6EJKZ-Q*zx^SyHueuWbXjZq>4RM;Fuv&u197M5e+TEyQeHQ9$i;g<FyRkW5
z@k9IP8|!l2Cmuv_%OV*05@AFd@3(B|obmRtJtb>)n4Z&Is!wuL%|1aaoMHWoFDpi`
zPmZ*s;vp1IKOj#ujM)hhq7qo~?%Vly6k>E>3ALY9j+j^3cz}K)_66RG66t^J>+7qK
z77URzk%#WItvesk!lFZu4;M;e*~exE8wJ1@QFJYc*ay{|SPI<(AM;b4+`k=bHPJTe
zCemHxBTu1Je8VRD?#B9cF3wfChtJH+>`spXvCb10?~j)jK`W3YPEQ<#euHCv>eC*x
zdP_Zev5Vi_DerYrrf)Cxy=HpuoNC0=i<YH5R$5wG{@f_i$j7K?omc#}pj@_tKeh)8
z8hwFApn_=IVdaN~grcC<hQnk<y^25cvw!)cgU`g}>6h(G&f@FL1sk5yY#i4EbXEH2
zy3I8oJ|tH!Zr-a<jv7+fyBlkJn@y626A#h9;S_Hk{PYvJ^HM5&U$q$|Dn{w}GD<BA
z{fh3T@blqV!q@5PU!Xyd^GA72ug}-&+jpPGuFZia!Hv|kN;}X;;6Tt55}^x`cBw{H
zm3hmwyj~+Inx_9}RM1M`Tf<SQP|fBhU-w{-8Bji~V_UC!)x<>JpVY>P(a8MO#(mY;
zxRf;Al=ih@iFF`MsQ;cZ7sooi1%g^iPjRUf?R~Do!<W2>a*V1b6_xL}e{LO?9rz=L
zHwn3gyjdQU9s*Vr`ZEW{573>BVJ4O8*1x)LG2u_7Wyarent`fBXB*_QJY_gz6k{52
zl6s)b-EHTGzrS%j-k4PO4d+mvEL3U{aJZPZx{;pR(9OxMUtTYkH^QoPe<m7WSXyR~
ztCcsR)!|ek-B929;|>&y+-WO_Qq-5)p<YSF2Ya&y6U!jZ4}|RFs7ULzlQW3uLpUD+
zc0`*l{PDt#e?Fp+P4SH-sCuC7Qs$`@0QBL9d1{-|h=>Dy5{g;RzEKbCaRXcq51zxF
zs_R&uVs{yPN7BXQVIsk4g>%Xr$r`MwuIAGeBr9{wuRbAWAR77RQ55uoQHO+<*yl|6
zQPCbNQF5r^!2;m@ZF+0zhk5GCflD8UP@zhBw`Rv919}7AlRH_4cfMh-EWM1ooneAT
z3Wk~BAyrMjy?uv@>#EVgq`Yv5K4Hi`Xy4H@ra>I{qGkyShD5t>;7CHPeq}qNduEDD
z-FX?lv_*))&j0r<CUsq2;!AXlX%!+JIVmnsOsIUv(s=t7qoh|)ll{oGPNkNl*EMnh
zJtUp}yDf>MY@8?I&{o4ig)RNfMn-|4c*?AMD`5qQV5JjJj^Fr~Yk*4zYmvk&g{UuY
z2GLBFdZ5&FjH2q_Z;qxcbxle1nFTg4K^z;;I|{}1f4Mmdq*L%evR2?DJ|n4?%hb`m
z)Dp40(3^>Zmp?Z$Yf%XO|9)T6c%x3SRqYu~ave5lLgF<kwLB>m3~d)X`ucPrb8Etl
ztv}zFQER3^+N_Dw^Us4(U(Lpth0cdBc;YINytxYQ5;zE}zDQ60^hK~GVJOl)7nh^^
z&%WeX$?Nu13zzO4bLf)Fst(QJAeA*J*5~9Ez;li8&<){9@jxI`&g4c8$)mWSMNLhO
zKPj-2P87H`HB?pOb7z_ZGM&C%HOqXXL+@Z?k{$$RfvAxuctz7M)3-It>>suh^o`wp
z^5i>Nu=+cBz3(3iljGm{;PwA>qu)C}uYcF1Z28_2`kzZMF#KEAqW;|A53z>OHUvY*
zxkn-N5m8{1n(f;^RtoADcnu+(G{J$GP&nz{MRnTCV-|JYs*9d%GxuAf&jkA?8x&uL
z{+HOWHTbP)DwVosD?O!B(ewM!K|V@}NL7jWHUHMeGMqmpWZNKK&pi5V7ZF*Lwo_8n
z7e#O}rqDt8G1VzAQ3rLct5HOmPp+Ig5F7UbE)e;%D{ZFY<@sk5ki_kkwQ93%jLOZ;
zEvo-^M;Y8P=nKH{CI9C-{6>&Q3MJA#*%L9RQ*T>7d^oQ;(vo5E9b3E%*JT=$oGcfV
z^+z}73wXGHeY)UOL*R3$iO3`Rf5ypiif#}E)?pS`AB9pZJR!X~)_8i_ZsSJx!RrSS
zUMu00Y>bQCH!!d?)24!!NuTm)Wgu$9Oh9q45Ahd;wv=3_?OeQ7i5h+quZWNk>!s>b
z8%9$5UDy1y?SgyuUBHwaJDcX~#XJ$k*+tV~8syA}pW>|&{`hQVJHj{V$RrpDul2x3
zxcQ~>;8`r<<d+KV&#r`&CYVKY&vM80ivl)kuC9wG_U@@>jZ!M1h8jNYc*PsqZPP}&
zKT3Jx>au<^MiJ{`@Jxn4-h$POGr=_*x1L{Rl8~m>pkd$xjH}_RN=fZxU~q~?uVk#d
zFj#W!FSgD@%upSmC$9H1gc)UIAK*wb8+OAhgpENy45@H?j4kVya*5g22auZ5q4Qb}
zmuq-t<-tP?#!qF|<RBCgNin-qUnI$yMUj$aPYEVL6J(e?3!PODS|bup2Y<d1@kjY`
z5s}_(p#03p91SHHFom3d`D392@aYMbr?wnN0@SnD8`zIDj`|#Ux({tQ8go$|)(m2C
zaIyr75ol$QdHT}S>B@D^8R)?gfNqbXTP1pNRM>gOw78#NYi#l>9@eP&5B@PNqCtXQ
zC_2`!3EXe_v+K?}Z^flrbCJOcLNXbO1e3xpCWV};uwBHU=%>A#+F)zq!O_ahp+Tns
z&6yXTD&}3(>=&^KG}y|UZP<3XoTE9rsnM?OddnFZ8PCR~4LNEqt?9w+LRa5k|1^T`
zreGr5Zw>t(!3|E21(x-Yjx9%sKvN2twLhZ~ee*Zvl7yDuws+YV-iYIPh9X=4i;jq%
z6b~|SIq0E3k#tPU`UA2pmo3po^FF4t=v+JApzA!mRh7;F9Lwlu0unFnnfN8?vO#Ab
zQ2V#J09U$P$^D;1_u=QT6YDa*4A=?zH;=8cGUeYf`i}oN?f(QY%%J#BF#q2`C9#nW
ztGAquQIVsB>EwtznDxgi#k{UgaXV?m`%!UfM_>T{B&zl<MZ3Z5^1ET*_F`)KAam<w
zL;@xLAQO$V$qosaH9*rCwqBJ(sY}w!Lss@A)=v~Is7Dv4YE@m&+%c$ra-8JwCX~|`
zp*D;LlLETpH-OH$g1wUG2M_K0b@7&Aa*f=9`m8_ynmgipLBDVZu=Jr}3);+Z%f|Y1
zTTuG)tu4FQ`Sy=A{>XF9EiERLAB55oCR7&R)HXDvmk+LY$bN}n2(e_$fB|MDJjg`v
zL)`qMEyWOXhPr?Cbbo2fdb1{4F{0G>bySpLrrq@^b|kj}0xQu_tUm23Dxr=t=5Eu+
z#7iSg&d&^oNV?8*%c8640l1I)H&68s9*VUO5i)7OlZ9=bF^7k@4IOz3rATz-ryCkq
zAffE<>w9T=s&H4QA-;x|{)7R8N-29C<{#SmjV&yy(42>7QuykefnXUs8xxM2W#TVm
zl_4TkgEG-|jg9I*=(ey?&|R;h*<jHZKgaRt0pp2iV|RwW{#7}-VAfi2@74UdAyum>
z8J&IksJ^wFV{u3zCE@xib;Q>oM@pV69c%o@3H-+ikZ}2*?B;(bH4&=I@-W7UcOqk6
zAlG((kHX<0wCfCkGhvl*vH`(qLZK7>$LgnEddvnJg_mUHEe?ZcRWWx)VlfHH!555o
zC}VURyD>G~l5y*MmZ9hu{PZH=r6}A|Ex1+EHA;H62~()!)E}h@^*Jey^gt#MXB$lL
z41;Q|!4K_3gFZYwjQK5+5ArvO^M0f4N-?u0Jhf8n07_P@C{{sMsxwH}88gH_m03l=
zt4N!Tvj1naH7&efgzszu<>SwdmX6N#33SHqN%j<qP9&>>-|)YL*(u(psZeX|mR&;G
zDe+Yn{TZ^9k*su}n#o-Pft<3QUfz3QllbJ*{+~fRYh1LYC)zgAx3pN!Z6x%Zf8NbE
z-Zgpd%iOY{+2N&GcC6Z4f*}X@;6M2$s9;GXQP<P*HI|A+5Qz1YNk%jJr2thm0P>qk
zJOMmqc-Vm99b$3G$sg=wqWK&upLA4f+S<DBkU4nat;fT%p6zPNM>kO2rX(@oW8!ZS
z0wNlF_~O;GY50NF#sm8aX{r@;%xB~F!!HMl!{BcXbu+L!0OGQNF30r7@-<~-iho(z
zPUO1DD=g&Y%YJF3Fq<T1UY1;*t5TmnxZhW(LF3tgYplrlihG7=zcsbz-Hb@}Nu%EO
znT%g0S~X25YlKoJN)HIsF4>{-ayCNJH7k<y&IQzw5U<{uGzvv2$>L8!!oq5<+5OWi
zEKcUHT`pR1bYL-jXQ3Ww=a0&6#tFrOMv#j;L6{vFnqy$->^4OuCdqc)mTDBb?~$J0
z21AD2V-!l*PEWr8cBZjSm>?uO(V%U?mtFx1-{0luH3EDWmr1enBMofNeGJOsKN-MV
ziY&SI<HtwbNXi~Zh*s~%G9{fcJA^QaDoEWM&O1+#4Ns)zBHb;Wl6-YIE<Q!Br}dpE
zLs&gTgTW{IV5^GQOyn&;!d#T+f~Ro5Luex2t}cE4C-$R9O4hCnL6d`8xADF^D0ycd
z8ffda6pKS9#EN+&{+AFG19E(NM6i8wryEoyx@Ps`60?l`FM(I|ZrhcMLcOg2G+yOq
zJ)PdH4s()zD-Oj@X@-IYjv{BvQK*w-{Xr1B{rw|o-8h6d<t{;&=kk48FQPP=N+df0
zHreTB13jm%rr=s3+#t^sk?4}aBZRjKaIA!!<S`N&A!Mdy@9%S^&JV;jzEL7Z?=jHF
z#G)xL`9=e+hK=q$r1KHIV_|VgRHsN9*(R4k?T*;<w)7KH--uJn&5D6E{CNu#t>7WZ
zfg}}#pFmR~bJWI|tt!>TZ+i0T&F~u{vT79DdKCTjN=WyrRuDZ_S0^}?@BG&8l>1%s
z{r^3`y)ljd$rY4aYXAeaf<74N*nBwUI1m%<&utWHd78X7jE0F2$sq1r{XdgtL&&f+
zy6^0}zF+ypXYG!8HUCRc7l@)i&qRmm6dC7WIPtk;e}G&jdRI*-n^s$rX%S#^Wc@LD
zhM$aiAf`zsn~=N7`V$&w?aph*NTTg4Ht>>E!QS87B?>G`|9Z*ppwAdR@w-3COj!?I
z`kj28<oTpPAnQ-KZ3z99eGUwW!r=o<t*~IJZ)_B3+)(*fxck!F(WS55vi|TU7@XFC
z^V3P_gsBkt&a-)u$^=UGiy(QQ-xxLn)9Hcf09@Bt^u5L_=cZHz3z-B`PezxAOJvtr
zfNo#8cuT<<6g>$GV0Z>ZY??7$O{1w7MY=(8n^KspcE1Ro=z-hh!HeH`OOO9&^6@2n
z^0Co$F#bll(+%?e1e6y6NAECybCLSBP+-qo=la@eR>BHJb(D9E9y20k5mfaQA<?tl
zzvVs7V^~%eW06vP=9kCx5~6{R5KnO|8Nh-IaTCG>d=lDqRR)#z-NUdVBLopy7xw7M
z2ITmq$;PD4YbjK&&J$GDqs2lG6~`KbzZH@H7p9Fc%;1y`a-$cxy___wlAcMlEmmQ^
z&12k$(065i>ij{1uJcn17!p<ixyWP4BxZv#NQrdh6Dgv6f+4!630qC{0^|}zUjyAr
z3TP-JRP}X-vPg>~(M#->T*9#q*eKHas%%-=;@q%XXD)Y)TV9RGBMV1gp())mYt!qD
zA)vL$Tq?vMtmdzz)R7?HW$+S>Oel9%jJnNclkrH{U^UFF@F#7{q{j7)tonVU%HYw<
zu;ffw?L^-*Kk{cyv$Xm{#&s|000WjNvb1(;6~etECP7TT=kg<V`W}_O`>4kKv_qH|
zQzQ&d`>}^1E8(@G^s1Dhk0}F$o6!W3p0Kg81+)-t!BLX@U@X}LX`BKVIb36)01^&I
zut>&SZ%mZA=YL6$3LM&oExT%Aq1R=Nca2i%5LeCSa1fBqGFpCW@mog<yGdVe;Oxg$
z8}Knvys;pJquiPU$+z1vSAlPDn2i!?V83bZjuzJmQ~-OvgjiInV}{2N6hT6<_p~(I
zCm&g5hLUjrbJ)M!YRoN|(Mkk)Pufj0QDCdB{#8MLoOIB_S&VRHC_+pMxmPJBvIRyg
zeBR43m-1G$J|*>34Ic@14-_Ru@%l~f%Zt{aqh45aP#sY=vBuJT!9B}>V1n?OOnE<T
zJ-vwY&rTb{GnbLPkVp&B*v}Z4rHf%jAPZB_&})e3&5DUO$Z>0$n;%2e`8m|OvIHGJ
z{y+zNFb?FsK1VM$u@aS#4^fYuQ%CyNw##RkEFX%XzN4>CtgY$w&o}fQlD$B=!_^Al
zpgwD-<cmb={J>F693z#-{n4TRJ|gW$(1+lNcyA2>Ru9&z0)1otAa8j{$Vn(OT&;!m
zLM=-Y;{puPwK+j%WnkddS)%3yu<F4z-kW8#HTcxmD#xRyI)`56$E1lJ6Z5o?5!SZ1
zhZAiO3&rMqxa&-l3ksW+D6W*D_FC#x850;L>d?;&4U9Y>+hlN+%N|cQI}LJmrI?3s
zU=l`QwrX&Of^G|6QK!Q)X4k7}_dI`~P>Pys(?VOvA_ZPwEUjJcK*B?`x$TGC$c(sq
zB(%{gJW<#WRwy$tvTBrD7RNYix3B-pxYQDxQ}$CUM|ZcSxd$tDT+sBxQL7gdeuv2#
z))2NBp-NjqhFT3;echIgbK}pAIaDXezy$c-7b-l4paTdepMpB{9$9v1m9zq7H}Y0F
zmP6oV4O!kES-1Jxh|4I}odMmg%o9)pC}i89xtC0o`jE|AkJ$&0K?4gCRvGB#0p1s9
zEgnxehhabwkpH4jQz!`oluitaMr+wg7S8-a>dh+|kKWT;=wfMG(&@3vJk;FzPoy32
z!IHR@jK*44VyF*X&e7mmjdjjeor{B88EU%o#(l*#)2FGGQp*c?jW0OoI#;AO^TLl9
zL4qjjk5Uz1N(CwkL7#63Y<!ZMh`V!_pwwpcdA7JUpHV85boB>gSYv{Ge+t!=c9}R{
ze@yhSy$Yw`jX8Ahpkp~?*;PP7oM_*Z8&-r3hZu5brWek`39}+YxC4A<^1nn}TNw9q
zADVFzGk7=Wl_h4e*IVtsJf<M2^%49<81PzpSkEukz)=BcdT=Q@Vw6;5xSKFdPfdfe
zMH|v=lpaI4-HxAQAhVWGY7G}~?U%>s8v`o{IJfK>Gld}JZYu=`J^OW{b!?$vBGnV5
z$$O0d2!SsaL|49E&-G(OqDhJfFk}7ugKYp*b4^ul4L!XrAd)6YM}A}r8E8Y#OjyMG
zrxy-nQOEw;Kyj-a8AB12d+yiY20HSV^;=MXp^zH+B#xFLVWKd7F%^BAmoNcPu(a!>
zaXn*BkVMO!KK1!E=gh(+gg-c^y?*_fOjsqsMDE&Jd8+~@nM+*-x96}}p=9*Xd(;sk
zAgV+d7q@SBG{OMOhZx(a{=(QJ$`RF9;x@Q70W~Kfy8MC<S7ByJ4FGk?7G@FS(5)uO
z{wk1GhLHJW7;R9onnmXxH~q<QPz^zA57h+StS|qQIU3;w$hQ)DoySOM7Epw>4vIcu
zt&rw`c}q|5Q(*2Avgn8o&r+1x(HM!5BoP>zX%(~MtWhF+-oDACk?be49qv*k9VY@$
z1?TNTo%sbyQZLk{OwG(Hpj>^xJ%_=c)PnR4x>0tBOu<m!6#483f++1XQS{?%)Fz}c
z%ks_tF`Lq>&9o@j!4MmBpm>i{l01JVH@ZDVKmEDcn6iF#G6YCHaQ3QXtQ$efT76V>
z!PDU`!a{%Z4>rxX*aMf}?sZ|PP6fIZR5FvIqIQ#2_?T>vN(#TI)+e10C?{%o1m)id
zXd%;+2%kugpZIw%hW(xKht7b91X*DyYNOot#9rR>`Ux4*K!#cXofu9Hqe?)mCFxMx
z2_u}~Ln|!)I18x(<I%BW=2`tO<oZZ6G&V`H2`%D>u64dukZK_E5!82bd2FHj-K{xs
zZEm$aKjMqf1_yC5F)Kus%gwK^vI<^4L&k5MN;iQoN4sYbq;{8KU;wKGi4cE8An6>Y
z1BF6<A+i_aTGlTyN>bHqq{eh-HnlY+O>KPAEaq(b)ZQ5vJ%r(JJ8|47V(y->0<-&h
z8jk@cNHE3hM&*d7wO<r(%;4d^pn_it)!zdGRx$75Jy=C+1dv{g&#6Q(ctm_ZDOLF#
zxJ-pVySwcmC)!SbM;b>Al}ry}lv=pPjtLuZ&_?KzE+g2AIGzdh+ps#xq5OB_pGzK~
z?pSpRk!yIWleJexes3q=OFT^Up;hjf>?n#cZUns`2Ygc$5M_0$Vs5S1Da~sulj<|D
z_OL2cPVqWqkH{zumKMA7QUNBIe@lV}Nsox)1S2~lpq(kZG_~AuXJ~DES^G0_S^#y0
zin6-z*(qHl>vT^{oHog(63QZvK~0jV1MMyW@0C~v0*w$t$(oZ4Z(-Jb*`8dMNIRj6
zjJ3_&@^;}k69EX=<B2E%*BC2gr;BtXNV3!W-K51KLC$a;i2>00?jh0ja#eU3I=a6Q
z^a6|@Oq`RpS(>VX)Z)}uwJLIY2|ZJ?HlmgYSacwP$V3`BiP<eZ*EjI@)%EFP&3b3I
zuTJYMs6k4gc{M6PQh4*3s^!41K!;kUA<(zNPsPU+_O$^I!AA*@p#`LCCe)$pcG=O4
zFEHN&@2VH(E@)UTzIATOt}_M(W1yU`FxV{7qN+{_Ahp8iP^&wVC!&ehf(0n}FN}Fg
zm7m^W_7HVZg!scEBE1~T;~bMo%kxQBF%=Cc3fcO8dbXaDLy$pA1)6&vayw!`-GRLL
z?(R4=mf(pu<Ytr|+ITXJSP8&frTap$`=uKjh2I02JSOvYZVw)b9yrS7u)&x(G^o)7
zExU_)kULahu5$!;6B;8)j&6z^gz`8(>+xpeBuo>N^+&SDYqwN}j9y$erQK=Jc1|>?
zae=J>z%&A<=nIH6-I4PJq#O^~$ON`kEvB>!eg|tntFt0&5cYu$?kADxm}ITW4;H(8
zrp~PtyIdI>j94KeJAr}NM=<koWPO~UUo`q|L`&9Aj#WyD%)cUnuS}?kClRziV~!Jx
z*DI9`3cY05nf`q<%+fee1|k1dQ`4cDtUls&$tbM34vc6#icyxb{s0NE2T`J)Nrfbd
z*D80b<^8ld5DZKG5lj0?-Ixq7MXDl@5@sEn$TY^Rf`|zfYA|U{C%9n}qewsFtt#PW
z!Z;TDWMq{xO9@V<*2V2rvpz8l^;(o-gd_?G6(j+G8kojqMsx_=C1mPQPp=O9hLK<C
z$qq7KRn||l*!exTBc%AAWYgfI?PGhEPIWK@zR1QYa*-EjOzQDEAnEqSFH}eAiuf{h
zwfo#U`I-!ij`*|&Ek}s@Nis$L%yE^>RlM0eIbMy7G!H|V=b%drBF8?Z%_6N{jZ6<c
zgu-srt?@S7`)RxDb6z`zD%<*aWUR$BTUKFH4KfLQCmxk#{ygf6q0nvkUjm|h4{vb)
zESSmrJM4t^*74)haG_+h(`Q7;<@fa-|KM;+)^_kF?IS)U+}WHRW6Q|ICsB;2iA}lT
zfPqjvfB4^~F24{bZ#o-W|F1VSopisMu`h`_Z%nkK#PC6t>i(fRZYi>?#Xz!*7m5+o
z_W}_d@O|7RVuSGpQ~Y6cu@QEp93VOn4>-j&TgAa72I{vo?chrv98DHImxDNI7R2>H
zp@{4`m!SGXD7N!2#%7BPq|96-Ku};5XCVDOElk-qEV)AB3`+kPNqnC`V#0VRi1s`*
zMbsf25g8}2RXBKt_;FYivQhy;L>d|iV!(JPHkHg@#-Q)a_Zzkn@j6jYP%%keEg^ih
z{m*dc?=jG)y`QZBs(>KC8D7lztvSJBXN&`mq0N&%7A{;^N8beG@2YW`d;5F=Kc9=w
z!?*JK^@s|;>ndmL`P16vBWZnBJ|6}diz7hy0j^O9L?;mRL1^^|Jm4l1Zz~3#JCMW^
zs=UuomQ(_AXlACLLN$tj1ac5$Q>s^geCY%CD^AinYi!bG(7Gig?ISbAD@h7Q25-xM
zGEX~;Y@FmWWK>$IQQGGlZYb3W^guvRwm~509@+{F$&AJ;B*jfs!6chB{_7*qG2A_4
zA^Zma-+)u({}DidYdMK4BxD}=EQ*Ja>ILIM`Rs~mY6_TC%E4zf;043oOXLM)8%U$f
zhPFoN#z-H@guRT6%oqDlt3~EFD;(KHhNSbj69s2LW`$f-%`d%XnVr`+FwZy50<Tzq
zyy(f-uUA35Du$)ySE(>ZHp3gqDlNK2S-g5;DA7>u%vY7Xj@ig9Z##HTGBr^vD8INI
zU!EjWw}~cCzvV8wgcy>T>jLYXf_o(V96>}_VN5#jVYdA1o8bHPcDnpT<PnbOtsz7I
zPHi%ci6UI?w7dskR4B4H4$-|<3TZ=kV@7wYL4QOBzN0;dqW00+7jd49%_Id3GCFgV
zN;AL3$Ptcs!WThn?G2pMepFboA+>W@e!gA*s&$!*LmM1T4-x$mlOdD?vV=2GiW4=R
zX?oM;CX7`{fdKr7rPke%fwi}1Q$*tIK#Y8S)kEIccKYM0SG*vB9uf;Ai4QRdoLYX8
zB|+IpJjHI^Gq=Mn94iePAflp&Nl?CYyn@`af+(8lTnUso$A%5M^11Y+6rkS^CBV}C
zYd!~IOUU$dU?6LvHa3K}sv?;>t|DOjn6X!dVzBDlJgDQrH@?Y3|7{g7l@e4J{6WAx
zhj%7pt&E8jIQQ7e1n5pZ!k_B!M<aHCtY@h9-u6w7a_(Fd`uG!Vzv;1U!kE6Xy#H05
zAkl!@Nccali#L40P5RyF{VO<2y3k+U!|^#tgzixBGi%MloXW`jEi%X)t^1Y4GRf$&
za-^HgG#3;{<a*}90VARsL@+p(%mo)k_)3KfBm9Ua^lYg}gNYh6wr=4f0a{>@LU1yU
zkQ<WfH)-`pDpC%GbFj8Wt`G(=5BzmtHN&y<WSu?O2Z_Ln5QW^1)Aj1~9R>KITxvm7
zlR#{D24^r?uvzgEkQ;2OOr|*jr-F`$QCR8bn$1NNCbh2z+=SdA;qPO!d1g=GPDqFW
z=VpFc_Jk<?1xiH|v-n{!Aw?i*Zuq5<jQ1g=?e6py3{Sq^MbGCGbu#RbWyi>#67+xt
zkSUPl5T%l`*`e06{z%jI!i8uiYLQWyLs&lfjrLOU$htu@Xd0uv=h)~j`gM*#NqY$Y
z3kA|_NaV>_Zysgtx_Z}ZS}qu$X^1dViqelYrg&aP4FgOWX+maqUl?Cl>{xd7Cz&E)
z<pN`TN!%c=tY?&f67rHTV#wt06WRtKq68U_HJZ5jUXNgb14vhzEIBenc_?_f{C9Y$
zo@Gajma-!450+EEF)&DY?uSUKFPS;?X(ZHRWS<Gs;`f?{y2oSG`O+tdZG_<Jb6mq@
zO6Vmpv2qjd_O(L(d^wUPE_f=R1%u$p$SYZY0y;^y6ulfljxA^=H~-J%f69S=iN=0Z
z`1*pstuC2S$;^t?Mb<{qT&hD0-*R)dLG??22H*VU3Z4yet3E}Z__@I2*B_f#nerB>
zT;Ij~^!C}eoEkqKOi$O}wclSZWEIoXsOvLVdAIod`to`6Y3bc9y!%eS%kH{%e#AdJ
z_s_H8b5vvhFh{|brETp?2G}%kwwH>1*<}6IlXTNuZ$(8#skKU2ef}N5wplCBezaXB
zuAaLDv~^262ZKk4ALhfoeQ^!zZzx3*T?j`;(Bv2(x7%|Q8yX50z9tU~<~YwL3SmgP
z75;xO+Jh!(T4+jnz|FdSyPTe$-k!av;g&o&yxk|gY9%ISt;10@UEkK$R^~R-&6Xpp
zw59M)RZP9HtUnr>GF;(XC0`dw=}uQCMn*>FV5~kD7gumZMAgTS8fbod{B)nvmQ#t8
z?3pr2G<mhJ(#4eIo6Anx>22C+!(Zom1=Lcj&?O-#DEI)($_w43USP&dn|>ucpMRWs
z5;72pOc1zQJ6SQ+PXWg1v8gH7+1@1Q)vH$ny{d8bLoFEsdlkdWAs2aEaT(Ld?sK!U
zvdZS_>P@3iZEE@h{G!e8ii(ORM@2>F%6!_>s_W|m#>dASI%Y>Z^lE!oGQ1l95pP+&
zD@}_JZbH`osPhbOhIyN@$>PF-3qp?CPx%p2?&dyd&tG2Nw4UMERr=?TLs)I$BcPk}
zXtK8oU9BQ>GsD{cdF{0=roxj5COU7f?LslsxWYm>MAU7;0c6Pp8cuon`P21BYig7*
zrX+Z2X{liW%)Wh}_6mkqy6N$xGxCC9|L|}{L4kClPNqM1a9CKy(9lrIWb}&{OEY;G
zuHFl7@4!fHTU*$>ckk-in6WZd8?mx|ukc!}xy~Zm8RljtZP5H$p}1$-l5SS$m~A&)
z>dhjsWQ#@V*^6O<Z^e$-kLYaoIsGC!TJX2u?qR1A)RecJny1kO4<5YllpBufeMSSU
z>#ncwiw{>mx92*Gy3X6!jkE?surt(=CzYR{?>N?Zyq)SA(%#-~yI_Zvmh16LTk6Nd
z;Fs86<f#x8{D1j2)=*9k8;D=~_W$uMNIfS8@&D2XVx(3$4qaG3#5vSVo<a7Mf^_1E
H3)lZIigLtZ

diff --git a/reference/plot-9.png b/reference/plot-9.png
index 5c90f2ab331d78fae798c8306d1e4a8ac43395ad..0cee364f11adc76c7fcc469013c41e20ea6b84dd 100644
GIT binary patch
literal 30537
zcmeFa2UL{lwk?XeyHymkk`xn)f(ejpKoL+t0g<dABC#ar&}}y&QBg!iKvY190+N$~
zpr9Z*7YZU2sVvC_1#f<3cb|Uaj5F@O_nz_Yc;oIKdk@N@>i@t03v10a*IbM1YAOm#
zf7$R02M5Pe#S`*pI5-wKb8yTv`e`BFX}uHu4L=qdDJ#h1C;po}n&*WdKVLbaZO6gE
zdyV{mPH;EFgo9%vhobyp4d({~?Jl=@OmgJD#hHG%xN+g!BlG7U-jX&v@9Mh4Vk<BD
zZ`_!m#bu-LtG~DJqj97Bw(OFnIYaVw-iz~=pIEN8QGV0L-yY6CdM-fz){T>w`jb2O
zC3d)lXuDp@tyPbx>Ukg$=gJ)HGmWRlC(o$V>*j1x3}Fv!qg`LTKKm8N(aoP0kXLU7
z=ZKJ>hmQa3Jcqp4r}T0$`FZ2?Tm$mcJ7C4Px#Y#g+um!*&yA1g=aZit>$m=oFF_5E
z7;m$C{Os9|`}gm6R!Y%#O-;w0ycbeAdsBgL$J8|KSxx_~n-{hu_QWWM9k;NsI3Oxo
zB3?B4!Ju`E;)<z(bXD?3D|IZ>uii*b-E(tvaDDulup|fEU&G&9-1z&XyS;<MF)b~v
zEsAHxCQ~Au@Upq*19NAA?E3Y`U%SqHS|qp5%F3#`rDX%%tz*j7>Q+T}CwIrhaeS{N
z#f#N{SIWuyn0ac{j-s0%%gi;ORWwNA>hZ^3E>`Q}bNO;Jd#uG`vw%@)!20T@rY6%?
z@dDbZ)DF+7WAep$9ju|ZJ;U5jj^i8WFVD{x?R&q!>ZHi(f^n)_f<C9(F^j4u+&u7>
zs;tY)F~jN3wYXCCqhn@!mUwpwac~^pHiuIB{_ft*AzQ9*QSAKoW*I$Q-^nRU`PhZu
z1s(E|ewUm6ylgLpn(ynIJyN4QCFAClM5br2=k$cH??h9X?AKk?B~LH$Uk$v@zMjAw
zkwZ)KzJw^((42~<+P4<OCMOHaPQFt;E?*q7Rk>{s*~G{9;8TIjsg7B`qM6YY3~81%
z9-Nff691(!(z)|GZNwx@|Ljl=KI*-X>)YJAr%|i{Q`*QijOK8GV?t7<pT1MOsDQvw
z9=*`{^B-%=b-3|aHNLsjO%sC@uW;&l<G~O9Oj}0D+BmClto*aM$i8$dH#fHyYdq~~
z!Bq_wc0)Nmu~rQQmXc9baaH;rqxCfUGTDhwe4>f0W{Z>pC8pcrKaRB7l<_j6mw5;}
zwwT3THZ!|EnAIVxA~pEpu8f;wiUX%sw3@HmP|o&Bx!LI^uUVFH`Uf%puV2458Ts!v
zit-q{UaKOtyO1?VDT|t&?g=S-shfS}!pSIEnOK#G4Joem2{n_0MYA)E&&#|HCKt^x
zCwk;&wa-`$_f!QdixeE-l<a-zTq0z^m6Vi}IyID6cF#0&y?DF5`ircrWlmfp{qMF%
z1<W#2X8m@k#}<DLr||9Gy_=ESSRhOtFB~t4aH6hnZ*O1iG3)D_oSfWbmDOG|Gm;wY
zVfnIg)h~ZI_v?1tFZ|kM9Guj<&PP4=q+&-u&c$_K(XQ<VUaV0DE+U?ZtwtU^!m(wC
zEOtX#)XYenLC^4)TdJioVFnwf2D1z;)81`MEm@;m+}bfSmQ9NdSL&N(S!J=-TSu{4
z8Vm2J@Y}xKw6%z?LwBiitD%Kc3SB;?h+G>Q8ag;yr(WBg^@dZbc(_Wg!*oi?io5$R
zg~CcrPv4)MH<UXOJUbEGWSuwoC?;m>wv%_4_e8o`OEY^PZ*A04;_n}138i`&<~!Ty
zIX0Uxe8lrN>FDYj`|r;5eWo5)8meWmz9LK{*w;5GD2Ojgp}TEa!0#URTkY-bi$@y`
z`As8TE)C=lS60{5tRREpu_@+a$juJRF$U7B?i`3x8hc~Z-Lht?CAh=2KZ#Kt?0LXo
zmf5KAr=hsIOtz_C+NX7Uxre*vI|qroChFIXcjN4Cx$yC9vfe#;`4wD>`0N?MRZL4M
z9GMqZ@>?)NSyPr%FXt_LGN>Xu`Ng2sedIC!sn++AGI?coSS=Z<#ltA<Z-;_OGHtZs
z#cOt*xU)+;<mBBw(H)ZmSskA5(o8Cp^jzmnRT$2M<TLA2geU2DMJ>)24eMemY(M?F
z=#F#|7Tlnxw!J+<&+dchJF!;F{hy>UIk);#iacKyWfYAzhhr{<B|dr2Tj)M(mD#*a
z`}z4--oxC<$Nbl9b#QQ?O;K$tcC#{PU#~5^k;yA=t@r(Vg^1RRLWim0^eWkK%e=u%
zmT;cGaIRo`tdx}0Epp;nnH@L=i>9R(=0#Rio6b&FdBs+Vi;0cpMfFwWyA0R3@Zh1Y
zdU_Z(=!<x0=h&JA&lF-D+ptdb46B&TK-)^E_M$0RMvF9TsS&A;l`01}nNcYG&nwR`
z&&7<>C*5UpU}2aMh8`Xswr`e-Z%NQf8DdODk5oBm8u3SLiJ=r-ZLeI^#q3W}Js!A0
z^izielNPr<;cQZ$lR@afHN`VCRyOUfQ7&Ka$u=@r;~gDc8Qpy=yAKxXB!u+a?x~1v
zE7O6258Lm2?O{fS=vbRwm9Ou)40Fw0Ixn6!I*JsG)VPL;&W^;%4cZlEQC%%0J*F9D
zVbL|8@4=W4yr@-S6t7erX|<l2p0xRRcu{EgNh%ynX{6gwbI(5BMC@y!%y!4tY&^J+
zObW5fHhs_HO6{s-#Lu^CCY&v)d#2t6`#AHw!zl?y-YFHIF7X&|$FIqv!6l^J-EXSW
zOf3>`waU^DzQ92Yib&yvQHmA6`?puwy^s8B%Iv<rzkW)r`N^Zv)#0#L18Eh)sm_c}
z&sLAmiw%A0p5u8pt9rV69|s5VPk&m(%Jjm{>3sS)Xs2#OcVGH4x#=sC9=*}mjthrz
zk4WQyh1t6fwdGXT*NZ0JUugU;WNT^}pW71_>+R;?fJOZ7d*Gwe4O(%8L)*Su7fyb?
zyXV4@eE1DkCZ4$8sI&Nbb#t?Jjk~hu5X&uOi%t2CxZ>_GLn<ZDU6vo0vUDE~@8Gfj
zFz?xzZ0;G^(Pye;B9tZjoxi@n$6z)V$;zm^ZtNbq7CQ4FxBHH6r$dUHepLTK?Veq=
zHygI^%n@FcZdvY;xPar(=+DmAdPiziRpaP|Q$q%=ZP=Bxk+D_^KbJ+J#`x$0GhC83
z@<j30LVb1YBe;9TkddbpJRgnj@5Sdfkm}hp&ItCBHt?M6Zo<kK<5#IhC4PddeyMJ6
z=T((s**|dq{?4pbfzM?N3{>Xf#{6Wn+Sp^dy1Mf6mbtW8Mi>9=!8IZVJP{EQ@Hvmv
z1dIFX6S^jQqJpL9`TJ#O7{O(|)sNjG8ejjhxG`@RYh~1gyfn5>s_SSUZiB@!?k*2y
z)TyhMyuY`<>-if_?&qb%^<Aobu)a!q_$1swT*Vi-7SlGzR;yHa{Wz;C$^OK1x%RX@
zciwLBUn>$cZ<+L-rP?_E=@YQ$Yen+E9kF+EQh?(k8?D``BVuNFlYr6pFYmT4mD<a*
z{lS$Zt~<N{V|Y9#KKJXp=HZ#|O1s!HCxi?qm4YS3f1jPMnhnUz%)EQR?9BUcagmmm
z7Cf6g+-sW~y&!ckvo+RAZX|kHNwaAbFU*zOi_FZ@WnL3+oM|y(0#Q{8vQfdNQ66HI
z2fG4ZurLDNWzyeXKDXFq8WkZ<F_4t8=`7w<zyH$vyO%93Px6n8A2=c*L#Ac8QmPD7
zwb|$cGn-M$4P0kdkQv${wzJ@a$M;)N0Wf*%<UHNm>}yZaW-{PG$TA)r%I>Pk43_?W
z;sHGMyh^)0<po|vU+-HOH6&`&x~{L>UJ4TsWo-&85;Qs7Q}*j3zI9w&JyBks+Ov^H
z^-T&|<#3!0n-6qc3b*QnlO3uyBrxS*_ignWG5<BY{Wb?nr#(^bt7u*(UffexveuBS
zID52!3w*=_9f`id*O<=;qzsHYycr~>CVnKB=Y86ap42rQ9Gi<5O6z9FN>6`#Lo=}`
z<FPxLVpWM{90{q@r4)!-%>wycD9Eh1vs*c;!!rE?GhZ*GPWez3nZI_-pZ@m_P4^r_
z`7Ol1hPcbZkKR&|++pQbcUmEITGqqmgN4DZN;-V|`tR<){Ba}=8)f`lEWoGXHO*F_
zgnMlcjr#Kplpa*|+^SWTlkuQec?{WkWbQWcSo6yt7i*p<n&lDPsffK@ME83A^Y$l$
z*njV9W?o+C?d?5bFxAo+OP_>;e4!u%OK^qR_T}BJ3R?-s9Swt3{F84LnC|qg%6Af-
z6#FI^UAMeuhNB8HMOOXt?z94LXr@QU6t&TmHzv8qcC5Km_R0s*#w9MY1X)N%NeyKi
zza8Gu(6M}}Q=5%K@CCV8)hKF@`_2q24fDeOu`+TVh#!d>X3=M7=zN1~ck9%dw!Y%5
zR;y&WDJUqU0g%L6smhGj$@YZf0pYvc3apZNrhZo%czo-L>(K-Dj*esNBrkM$j1Ok<
z8@P0b%G{wPWl>u!@{~s2D0!+R>5{o??om_fkC%^HSI(&S(FuzY4!7mCn8UHh_9y3S
zPqEo#4kjlg=+eD&)dZgyI;$T1{QJfFculh@*aU#)=5*7zDzDz7{C&e7;ul}$!MAO}
zE`ia7Z>nH!EtpvR5!T_FbksFI*QW~l%Vb7AKJVL*7-r}x;X%h}a;qF;606Giy`-&b
z5eW3Gds2df=NiBee_)~=Us&3u@6^`5TIj4s{+$fJso@4)ip;0A9S&u!K%ZW%l&MZn
zG3&N$+1Ajs$clDTghf?p^V4xTcgZMzR<FXFc(bI!xzvQ@-1xG6>n;b>5i@?Do_pc_
zp*fz>YQ3p^#O=wpa*BQ0-7~|2B~@+3x#r9+q74k3EDhw=8uNDAqtvdjU2$|SHOH=J
z?A&qKn%CYb65ro$t{q#%bLCKq)z0c=LX#4jdX#6we12!9iq(Qr#ERJmp^<$Mu5H@j
z^E5SeFQ?q}H{Wx1YdhtDAY>v5!poojUctr12y)8bd_0(s7igFwKf>d8A&J{MdsBq$
zSd+1k=Ga3$!~-(IRYM<IqPI8bWSG}Krw)HSy6jY3(P$E7>16T;Ic9Zm4GnO4BzxNS
zXw$`8r;N&YodSG)*BZL-m6Vk9kxt>CohYM?ELf}ev47o@esh3dY#Aw!X<TRNBulxz
z)j3~F-$66j#)+QY71RW4BV?dVnHiRw-M?YO2Bwv|bla<@RO2r1d7QmjEJU3TR7CW1
zUwp}XJs#WUk?Cw%qLtsd`e<a;SzW78m2uI+?^m`eu2^f}e4)iuA#lU$qFEMwQQO+H
z=B-W3TiY&N<GnMqnHhqx(N8G(1iu$h`-bO1XF}~}4Wu)t|5$6V?(y-!KBvOKz(7WG
zm1kzLlF;J^Q@u(#uyHlC{gnqdXHs4J=NJzEA>zI%q7eQN7JW4<Q$$OyO)W~@G{WJm
zB346b?E2DFwgYv51AX~+(<fdZr^4X~+6b>xTXk1Xr;STvkc2aE3Sv3qV3{>STFC>|
zg%h8=o_3ks(cR%tS6`1!ZFy6cZ)oi!61_yo(({Ln;vyXVa0E)GCx;hJ+p1d<4?9Az
z&4v0G$-w2=@E4r`;r>@SB?U8E%o8qKTL;C)#`4J#7t6f=IpC^WPlQu!E&S}ocPT=A
z6v{*H9ibJuU5qs%QzD)We{Si^B4?GnJiCPq@2T)RfBJPE^=@KJOiWqV=eFMy+dLcx
zC;Yhfp1;u;g~-f4_cr&ur42PP%3V)xsVL2RqE+}kltH4I*(tAC%FD(-r@f`>>aPO`
z&1fTdlvVHz!a0#Mx9w(U5aWnN$aeZ}R&t#^Q!2$DzqBAY`F3Zwj(dJ}6ku9XS=X=D
zJGGNNv!i9>Vo%;X^F7~RGf&mhmmMG^lK|m((2T0-V?$ynB|Tv5ipyljQb!n7FpJpq
zYd$3yjK=%=vcogkSxl8I_4}PHdHLeSBKbF{AB|xcgFlG1Cf3A+J*i8d@vHLV8PeW}
zSlErA02@HjvUtq|qtCDZV7ycH+{X^Ti|=>4)F^H**%9|(1;ukX+)ZZle#H>yiO<(+
z%klsWpPTQDq-$#FukLwZSNV{BS*~fU#E){v0q`%@Yq*8Gc~wVyq4Q+V@T5JH;x*NJ
zqr>ZYa{l*n0%1Evye5^Id2g1<<qwEo-;j8w(lS0_YJ4`|?`o1#f_xOOjH`VM-Djor
z+H0=!BJN47QsA+X*XjBF=aro^Q*;rR4)teN#z!sfN=&`RP1{XU?P)c9;`4dpZ3jDU
zZK2sLP=1yX$S+s;#PRCsBt&n3YF^CRsG72Q5hi(O_4V};7;RdrJUf<ERDzJP#dOMc
z^v%*yi44rqZ4C;;jm-X2_Us3-XMc_9H_kUfQbTvC^&ZrG7utF|gcQ8CpKq(HC|1pV
z0MN>8K{zN8AuOBT6|leZsdIbGhTee^rF(!uyYzDpBo~ae9PE4g*!6d7_+)?B%$=MP
zUv8{Jh&0`&Rir~7?e|&Uy<x?t8fB5dW$vHmaUb{zcuuB}!^zR{IDF`fjErM|OMq_*
zrlzLM+WPv?nN?oV$;J1=Jj^a%?zPeOk}n2ZM2#Pf%UC!y!<|M|8fn%lV%F0}zIRu^
zNe~-Bv)>W6df8dV`qu>bzsn#ySFKg=S^vSXikPVVTyKh$9yu3wKez7CA5R=BTs3>D
z`%IvReN1AWo_O=cTOo#dz|gU^C8poUV|iFtj(Vyr&Fl#HT{bnkq5FK;hbzGu931Pk
z=jXps)6!Z?JO$JF)o%-6g8@im3>^`1+?VZWYPxGss3XluCnwRKX+?3<J!Vnqhm!^e
zxUw@g+}aPY>>LbuoBQwwM&x+@_P+jpa6Yg>HlSBZ8VkoV_)_%6v(HJb`F=$jgn-Rt
zcUWBTGH@T+7$D)RQf<4-L39B`3uxPQy*?4L1?E2ZLJ=k7Xm#{mF)N*5FCBUL{C<6U
zeA7fy#={jJV;LzPR+0r5--T?digVu8k)gHuc5R?I_3qI2u-&?A5RX`pTg@v>KGRz2
z)AF@}H#SZL5x`GzJGlZl%W^9c>NagD=gro%;Md>LFWmU+>jEQ-l%M?0*=_UkDz9Fq
z(AQIUg0_;|T%WV#O3+^urNQ%!#LQe=drd1Jj5w8aH5`+F0I0~7dg+{x*K`*@o}lJ4
zkHDjN<J&<Rh_O?#M~ewA!&;9UjrP^=^<a*SOxjgS#Fc4#<>)1s*&@c+eog-k!O!+g
z%zPk;9>GXvmEf?i1u=A5ODl^SmQ4U_6Ft15+cn_LIB2AtvasqiUVfB@Gm67sKlrP9
z^r_RjGQ@ZE_x1U`yS05;|F(-6iI}LR6z8LotckARWiGN7vo@=%_a6`r!?1Q?Jq?R#
zaZ!9+7S>-f2>bLnShj`U59DR})GGP*aw&lZ?qzmIIeE|c=?OP>?VCL_?p9*z6LvIX
ztU46_%2jVP{mSRpAqHB4t6Y~XQgh$tMfrbEUE}$`_t?l+@gj+cLS|pW=FSeMRUIJS
zj0c)hWm?t-x4MBJB*4Em-DnJO*Y82}X$vO>YfH-jkVbOktq~`1cjtq}uJPEOkYp9m
zJt$3dZTH%If007xm;3MB*{$2q^*;QwU}39+4e#a;I74m$`&mg84<Q7m$@clL6!<+3
z5E9QkRJ=1ZuWHSr{C;cx7@bt3W5EnJA)AGi;``@6E66cVKkyi9=1ToKP>G+WFLQ-3
z8NOCSrgBr-ii3V(uMi@f{l5GsZb0T+HMCYrQNfeORkNF4@Wkg3FVW@S=`|lljyrVe
zfo--q%+DvLAG9p@cvRPw0OwngbenCUIOov!SQU&m&`wo@Eh;K8ocWIRjdT-uG|sSh
zYPxW3<oL0o>247clG5zr9@r{1_nBK+or+szCvpDHKu%92Z6r7BVG+)QQXD0pQOalf
zYRNH%wor_ofQ)fzz=Z<C)bact8QKV96}`;82P>W-HbpQW9@*{ies5VZanF~{&HW_o
zzCJOY`T&BM1i0pRB#kgPLqJ2ckp~iXJ|n@Ao#Cdu_8$*}nm(9#pGmmwa-o!yvp?TJ
z?234w5#BK!Th*xX1Ii$bT2m!EWm#kez8On%&|~`5GSBA&4!7SZZjZRFq8ct{^|HGj
z(RI}1d((2AqoU*0p=aDrev6>H$36MRfH^%Cw_WAI!A~DX%IlXYboOY(F#p7miMMCi
z$4~<H>NbV}5=NQd>&s?-#W*)^)hy7^DlkaCzJw<O*&%l#N=SCfCfgCSY0t#rI@<hI
zSCN;Om+?&1BmRkqEQtomywkcIMD*K02)nxPkQjLWrW3QvZEICB%&c@OtfjO9*N2Jb
zHzDw?tr$0SrNtbCX;LmUYw0ZU?;-(xvpKC|wU*w^$lasmT7~;O5vV>fRkkW(jj{Ow
zD}<<JcUa#Cbkv4q^CrKBm;E3qDt&p&W6DZQUq-n0Jv*8lqmiR0jL3&COy5zPnFs3e
zpfz@gL8}(q=(m9<nTntjEOS@R%ab`lj)3BD`$tZM5hH!KNE9JE@oL#vw#(U6F#W(=
zLT+jrAK(pm0GRe7G8kcyYw+d~u0^JFM1=FFDfJ-FgDd3XcGhqAv31XgZZO$V?n1EP
zPa%6ONnF2ztDlu<P>|a=Ry0u};%e2=+${0Q&4bNnR)No~a&)4)n6f$dcfT!ItaN{N
z(>0!uLTh-Dd6}vqTbjYD);7W{&I-~*3&8QI_Skh^-@YxY-BI^@r@zQHICsU6EsD`<
zC+>(CMuG#`4iZYgCX)bO2W>eRaG5(4eCT^lm4~o4sP$lzYAQ7nk?H<-8I1<vJa+H*
z(xz7DefHsYecz9e=hT|rI=8<JPa-At1R<LXu+pvlRnqB=4pYdSj4;K+a%B-e-UgP9
zu__DV4R=S3thz>6?=CpwCxeI&LQ4GCZf`X7^4RC{{mT}C5E7ZaSiMIcHnyLUB@1S{
zAX5scp+*dBgK0`dPTRuPDATIQh)g+*YLR7BRgc^BAd)f#nL-XSVd+)d6hlZtAfgeE
zw`kg}A%k#gDTsI&4-GrQ&NL|7407F^9x#>b&(H@ws`Nf<f^IOCjtFc!35Z*qa`W<T
z5o_=cS&o*+?T1*Yw`I@1V@(k{mT!~~%lq!=GMU?Bt(BFPU*KyL!>V)T{x}l-#FcsG
znTLJI?LyX_7VACMV66BYK$Zl(BaA?zPR35f5YefJe=J_Rjh(rA5q{9dD5~Pc8P@YN
zt(|I2s}PN3)g_}7@iqNvbtdXVY}2)H4rTpxzu~M7-T&2`MLZu(r$}5=Fox{H4qAZ{
zYi<s>t&4R}Pxlw7V&Q549}b9#ZNpskxTbLLm_tABNd_X@Gl`41ejM)Ky{jL20xrj;
zBg3#2dzxWG7EV7pc=r&vO1={txVaax#x?eR(l2y(+2=UWG*STCsM@r3Y;5d{Xo}0J
zV3F3)I~m^Misg-_x3(xodd*CRj42jqr(INJwt!G|QcK}I@vOfasNONSXjrOaQYB>&
z9`3eVVTso`Hrt)L#>TJ%Mf#vWU!IR?nM1*543hYIHzcf@P?uedEAyyIgWwTz=TJhn
zyaTx>_jE=aWdB84O^ionN(k%u3d|NhG<rRn&v2`vNn^L#T<WXo5hpfJx&Be~l2U9m
z>Iw6tnbO*J9ErxfmCWngBhNM52YbD`5d?>85x5fYuB$O+ARqM`#(9!~uqJSF))8Q)
zIEcN<O^zgwL)~eQ%zOJxl%!cBwKAofdHtA7=EMhz=SpH|ysc8QJN+g~#S2f5F_d6R
z*Hy`k>z#~{%=psyz@b5#<oePYQqP8LVZiaoz;CYM;v#T8c#~2?eOp_bu{0HEzhbZ3
z*nnT%9TU*RTwGmc!NEWj3i8E-p?+G?=}(zIf)i=ol(B@(0m>l(SW`v<P503RL;V!?
zKDM?)+^shaiZx)bap_3w5Qt|#a36xac^*&7yKNarZtO$woIj_v^1i4LBBbD$U~a5;
z{+xzG$6tdWCg!lwz|Bgr>usccjUqdU13hO@lV8!kOreJD9IgbVfEHHP{E?VRiEdd?
z=SM<f*{SBL*x+SS1J6BMqdb{3MrexrRu3@ei^2+G9|uY9G;n8>WCM+K;fg^(2lmAs
zqV6zE{v?q{JW<K+thN<|{BLvW@E{4J<I2j)BoyI1_{saOq=PvRu2%hV&y}^Fpx;&!
zz~03u;}6zOzeHG9UXtS@4D8*##_Sjwcw#%1*^o6RRYlMjAJ|u%MX65sVoz8u8OH0y
zBE^6gYi?~j<wxv4$sQ59GiR-`dByIm07F)v7W+eFf!HfP-r?mX4W<X)c^yeL8^h`N
zzq=L2sDAvH7GQfBh`L47HL^UlajL466$jx7NXB{55;Ni&?@HKRl8o#JG~gygCmuP?
z$l=oI9Hyl_Vea|JmXnuvN01tf;PlGNaaeWXqUrCx=hCekeTwU^0KAqV2G~Gm5FdoC
z4-OU5D%~2USM&JKZLo6NNnbKMHti0LB_G5)cu3lUq)QU;L<bRQcVco?%0xf>Ms{-N
z+M;!cQC0LD>NRa@Pl=ZhD&nz1Fq`K_xV-{=gH8aqcyd`_fnS*tZ_v%>0A3`A6a?c;
zl9Qc2+}6H`mZb<aPrgYgU^u1~aZ#SGl0#$XZ|Cs`J*j$z1N)iBP}5fbPW%dXK1fSg
z(dUYV1INBDf|=h($;pxPNg_a;MbB0efCiH6IN;$Wxf1b^i@j{`8zq1Yo}ljYd&h8;
z^<BHmwM`>d&yIV|YIXaG@i8}XaMbY~J-|_yo$*;4K_M~q+|OAsB>Y@lVC_%k4@b}w
zFI!m>=GOh|{wPKMB2aoMMxw}hH*f#6;HeG3hm$0=)1@b3EewQ5rU%L6z&!f;`tr|w
zyC(c0CXoOxB<hg6l{;2^{{k;z6f|;nBExRE^4na?`N_F`@lR7yg2}uiZQ5)R4wOJZ
zgnZ(91^0)k#nDYzvlWKSnlK}{?^O56?+D27qyg<F6?aMon$wLzp9apdI%ZE9?zd`r
zL7268&3%w|oVsGZ=H>D8ZP_*+)Mk$)J>j(^5)xNCR(BsWE-4F!FRX3m6vb7Y5cI1P
ze}a~w>(dg0CSPelshbtuKCJYyg?bqVYt`1T)we%QxN08`s6_<lbtH0lUzmblSWdPC
zJ6R7+gm5HcCK7SN(USwhbLHh68!#PZh$+_UTIZN#R6u<4bUhR%O&mZw>VqqG#^>Zn
zkb{f=&5PInh4pmQ6XW21tOxj!;g6ZdpuPpX`ft>x{Ey@<^=gB2(_)j7cIW2i#_N~*
z)<8kR#ibY`5B?xD;X<};j$QztjHG}7wgmxU<*WDVA)+L?Y%VV3k*lk#Pj~yROZM^c
zA&eSZ0nj@zkZ5~siI%akF@!D0<mF9G<BS70e5|Wm1@@4O3*d=w(!G#e3J{BU4&*%x
zTpb`5*r`=~CF8{ldHweLc9Cb3bTqro1+QgvoZ6gNtMe((Y;ebn_5G@z#{~ri<*NgC
zL54tc`t8+<Z=7c!ClS%_zkK;zZQw6|{AQv)udlDK#-XLY-Xx;I8-uft_&V&;|6<`P
zO5E$0Eo%7@nORx7aiR~OJ$twJOrV*WnPQ_EuJN&OA?W6@b8(6x8aV<!35A8Sn1L;d
zMn$^w@FLi%PVz$`lj&Nfz&hu)qDpPuBetICe@ZU&KU$K1L2>lIe~G2_!VmSJE0Ug>
z=pyde8JMk;<P0%aO=fWsoe!^a`eo&J@2;+^(-_>xe#-LLOLM8~_g^Y*%du;mVgYND
zL(0JU6)A)~pcI+A@|_xs$Szj%6kYkvI;Z;%<JV>G8%ZL$35>;KaPGM0E`$7og^=Ww
zK`_KVYwqKD9f5knT7$Oi`}ibXD*Yq_V9`ZVzC<$sU6nvs#j&GDk0LhWB+QKhOb|)>
zGT^i{^EAjkz0;oF^Ujj{@ZkeV4uU=gJsGdJl>F+Di{+|06l5D+zYc-V(CRiP?{bts
z#*GF~0fvkh&B_qt1Z(pb_pd*g_Txj3zRsmW!?CSWX1ooY5Do$ouLx8L4K6lDb)$!T
z-3w=OBIHS9&o-3@cR9xosUnQh(b0+5U-(ADedX)iTuE%bx_Z`>Q6M%CULQCxJ=K+$
znp!QHGzVuwCboUK*py#ZEf{IoM_Aq4M;VelqUIV*{i_2zWsh&b%hf{BD|q<p*L0k+
zxJr*@aaTHd-(T#!SpYK{T&8?y7r>me0G=)jG4+OTqsVOb4tv8!nx$3<=iQE})Ir?*
zC?g}I#YFA+=;&yJSs)<+xg>9RkP*B-oR$LXbU!>iL4TpimV@y!g*O`b%JMTzjB)0+
zC?cDyl^2jk>+4gBQ+{WcX0)e_{>PCE1rLNO5^D=ri-f<5&!J2L=^Sml@@6Sl>b72w
znaLg^FYuiHvR&>vyoWeI^XDZ*oAvPP^k|A#peh*Fdf}^{0KaART88?zQ!c|_O9IyK
z-+7MfO-B7$-I6eb9Ptfmc5^7HFcU<f(@EIQ#lqPeiTTY&im_`q#YMR&g~-8}JdZAr
zGz)zH*+*^fTi_f7j6Qh%qQy2O>ykTX9YHM<Qxhs=l<g<tK^qzh0){76NA$pfC#Lfq
z!JL9CCBFvfuT6K9Lat`C!|k{aobSlVp!x)@#=3jr+zF>2ACJ*`1%?&KdLglp1$s?R
z`7Iw|K6CV}AJ16#P3ej)xfInk)%q61RQY#_eGk&TEhInb3x!pbR4efFvYi~H8}k<C
ztH-Gf4(A}N)|B0Fn&+F2STnY2*uwljj=aMDSh{qn*-NAplWI47Y-@Y4F#pI@%Z-Ze
z8t<%xgbMr~Ye_roiZ6H-*LinVoWPKO9}_)~=*R43E9`TRqU=Ql#`7iI{ibF}RAwkY
zoPU)THN%km9xAkqyYh;k!#we4OK0A2lI>o1KTzNkP6Th56T+4hTjKsXIJ!@-oI@un
zI)c=sp;(j=_96@)ITo@knra!+xxB=dBfIj{FO)5%ysdgF;1z~#j0E^zi-ts5lE^D1
z97WL4pUFjUIEZq6vxcI}raM%NWXJglyS7U&d(YVv176}miE3)ES<MsYF7A$liLd<F
z*5Ua5`-;+rqw!iLz`6V+F3C`4|DtK5xzUmzmND?=|ALJ3f8VJ7cZf;<J&ONUZSKFP
z^IxCNA6Sscn28f8^##FcgxDv^as3i?;V|X6{(cZ?8`SbuxHoJ_#0#x)`fQb$xVQq8
zO{){4dHfnbKRx~UQEF<cU%eXV(xtPq@2$<uY^Kl6^J_GNLJ{KS62Q4m5Bj!n%QGcP
zf?=Iq)WFfZS;Q%ARr~GLNEOVg=JOTh(Maa(ntIUb(RBW2=S4fhDkcTm7gfXpmt{mx
z9DS6WTnW2Z(qHGO!|iu;s?#jZqTPdjg|lh>`UckaZ11ehiCsy%xrZ4yyL>Izot%B4
zk{-=7_25YKo-d8RI4^qk`0-{*DJk-ZMEoaTd_O4LvN>(1)|)H!$SxCsD;wLA@Z(R{
zP>f9bW`Rc_^N3K3{ie8h-0UW63MCjCr9WZo6VtXob8f_eKnD33a#8^S;Mneo)P?YC
zY#_r<N<np%pvUz_l#og92f8c577tpy%(m$wFehXS_n?z{8MArM-5J_BuP;Jcd}0q0
z6sL*&7!mdVj5Ph<+y7tR{{Nrg?ti<8|K8e*e|3XD^)X+oCQMkA1&h}d)4gV=oWaU>
z8O}0^N+!iuW~^y5;dKasm7p&`4%#8@dij?`m+0J>N6nzpXF(zsBOzr}`9NYX#Dm!r
zo&Jvt3k!c){R8h9o|>Nz+`sMA{Z%AENCdijalD@<B>009CkYe6z<>P^zE%#9sSCeO
zaLge$;xIYA()b%8q-{`UP+EL_r7>uX(}srpxEyS;G17b_VYE{~;L?Ztt4Ziw|KpYl
zxaGWNK<mu{0?=6?E=u@kzylIFE*!S}92;*Pnyf2cmp{)1xeoyWBg6@TckbMo(^>^>
zWyluVXbuUq#M<p^(;Bpt0e%zo=aLkc>q*_XW-WKScRzxdRVlSUA{dzBGRY*FlCl%P
zr>C{DPCpP*uZ5jQ&>z(?=Ur@|Ls9F;=ckLM?}^`?(RM%i>a9ldz>^6(v*+fX74(6D
z09tJvxLk>z2kJEzvfpn8j~wjJYI<Q-+lhRsMRQ*Q5r;GUwDKR3cm?+$@rtG83l)o#
zc6R9r>gFdwgeuP7*d_%#i?Nz~{XMvas5#BU4z2ID%?TX4>vZds*fYnUZ=c`8vK#5G
zUY+>6t)LcP1BAt28XN3i>I$yv9FCfGCy4|<;~<G`5dNzTqKN4HV+I7}vUh~_bq4qK
zmaR8^aFd$;WYt=|D~F@DzuB`7+7*dZWJa{|mT-tYyuZ}>)|Tsdnli$I5w$9zxVILK
zL7Y7>{QUu=t4sleTTXf6&jca+idN)5e*Cz+evckjSBCpJG_8L|9H1;7!TSmzqMLp`
zBlPyIntP5D{v)9mAtR!rHx)cdOGpqx#P?T(qP!EDc=47)mP98F9fEn-VL4O<NIa#B
zL$2}2qwc3H^ZNL}F)0f>JG(EK7G~ZvIt8A^s%|{%CbS4?15VfWPph9=n6DU899B3I
zLt-kDRJD1vVC@of9)HAI53734CZ6Mh6l<5lJ<-PpKV?{^r6AY2)OmO^-$7>{^k|4i
z^72~Yl@Wd;>}YOYkK~hPvhQaI+Z5+fp}-0p^LN>8hWzohmdg}M$K|3cl*Ct#cc4y@
z5_`HApXMHv+|8G1ZmhpBXmR?5J*--r&+O1Ct!jPcav@PCQ}2w=Lqt{7L@8o*B5~(9
zZ$3Fa54Y88eAng~A{k?wcU!}<TQ`!o)zZx``TBrg^f#O~YD3N-6)b*9oE*#SvoQPj
zwdS2msGV1wf@Q{h5h0(<X47tU`S%ZA9Y^}rpOCi#0y7h3a-~0SfAG<?l~5lfzK&L!
zM=tR6?){&f{h_JDf$ZpEhal#MaUff*^Q=e=TrbT2*!ipR*Z2M?I}<zpZ}b0u#{B>5
z1%MhyMX4jup6RwZcLg%A%Ss{d<|1VSFJ8RRc)W_Ny!ZQ^ZZBIK8rJ;CHw-}gkK|GS
zUscru38a0x0{Du!_g^|ml-7*<jrp-{-Q-&wb%|-qs`o&%LyGa<M@WfNzxjxdI9ucB
z_WzN`#U*q$(U<6-N$zdPmi-m;v(59U+?4#i5wg7xuewT)L!$ue9eXN#4aiplP|0Bs
z5a@)&A^<AxjQ_aRqI@KamE*FYb>yq^n5-}iYG`PfDBdp11;Su24CR55K(<aHr-JNV
z@7XG9gu*+`JCpOg;uFRzFRj>jA>;(-&&%&D|LH>YbKebftIwZbt|4t5Ab8mH_I|&Y
zswEfZ%g@)i@@he_;OUn?z1{cl#)(7ALpUlAZ`}Cy?S>;`_LA*1RBhf{^)qc(L}7hB
zWwd9waWL79BBx)K)JpM~YH*7-GU59s3qGNw8~k(UcT^4W5hg1b-2G|I(bC{{NFw|y
zh!8JLm`yA`B;Uw<@xq?TBKZj}E*s<<t;bkkhdRGQPcoj!ej1La=k6_ngf~D?I7K@>
zHhcQh)n#A=$*r21$Vz8RpMUB7&yOM{c-h7UBCwKfqQ`)?%DnFBhX%u3do!C!<P6Jm
zdB}oz`-Qr^bc4ikb(kvZ^PCCAMG`$Eqez^Xyo1B&rG83&nz%qGgnsY-`j%z^OEdQp
zbA-0nvgtWV8j#|$y{;p@oyMq97+cdHg_JQ@>IGpc$szUsSp1!5ziNHMqLo6Fg#6Q(
zbJsNu%@U&D-2JtK)G(0bkbpoTG{;tsZ+<W}nY)LDoHvWLT^>Z9-jAq_0U)}FOO5+%
zg*a_`X1oZMYS38au8LuAF^$BK`T1O2a7M?2cyc~CaH2f%3=5^d<Y~huSFs6Hj*)=(
zDW7C!r-#A4%LoVvXMg%F#ENa-J~m=S3?PWE#)06H;%gXsFUG#GN5qZ|>=!HQh2~NN
zwdf6Xb+>a?urF+XTjrB~rlq!x3!Y2Rcq{vJX0!&Ld{S_NM8Jo_EXE}>E-nb_H8eCG
zA~!jqnhu*`O_-joBEyYTFF2L6ZEml6?&@#E_LtCBOYTQvQFxFJmBoOH#E(%ZHOF1{
zZCXCR0|``u$85vc*y%=qwf?IqR3%yOJ@y6yQGTd$AUcHL@0e^9-M$qGB+#OJFTTCe
z+fn4@RL;Iw@2y;!V{gK{hbN6*=FQGbIhl^L-?u!PHJ4f`jp@;*|9C)^i+taR=<Dx)
zkNAZrvd8<;;hy2EywiXL!~_s|%{fR)i0)js?MBjmB1e9v#2(^P!L2_#LnpF|?p!9-
ziA1Py$q@SzzANVE6JtSAiuXk={5qsy9N3IKPEn#4d#4_XB0IHSQ)~4bQoJEE1eNhR
zS$F3KIa1Hf@vy35dYc8I^!zKtsm_nDu*;qw%I{l7?x>;1hm2N39{b3Bn#HpO@kpd)
zqi`dgD#L!_+3myL<B&G*6i$JJqraWK6~1}l>#%RydW9&W`R7NSz($fhD$0q8)-R=C
zOs7GP{gB?iPb*!oi4;xSl9D|JXki(WjwiC@4IR^8#k=(Bu3AfY4(_qdX%oxpKvphY
zm<?wi3Si$2Wwu&l-<_S#MWju#?L*(j{y4I!KZHHVooBwPA7H=wxPM>KZ{t|zD%UXf
z8}<SiKa4`<U;lpn=SIK&XC?TSzXHd<T*sq*Mekb3;0Ff>r3zT8kXS8AcxM2ViUgo-
zShWy9=jF?n1)bL0gDnvf*3#6ZnJsu4@7m?%GU;xhDs;$Ul-sM&!rXl1#oW5OI?K#_
zTF%`AR!m8#D+klN6v}MrTDrRZ^b>zPOGv1#^_89Cfj}rUZ@%Lpt)MDYVXQcNWKCN6
zo80}@<<g&6$UdwAYLY7Ope%F7RmHfU5BvPswcWy3mvj%i$RzEVQPgyq){mD4!?N)E
z>hra8Tn#<b3utodX%XfY7J=hCPr@cd4bn>OD2ARC9YaIIp%qPY^d)2i7rPb3$H$+n
zl<03v>7ZHd_fj}`;q~uUYwD`2xlp5VW|wx_lZgT%C%8Ayaj+!=rRO?B`&>h#k6t@o
z>_ZhsDZ=~ukNTRLntPqUZQ1UM6wQym0H1t)FI!mngYCYZBaoYbuwvoT4Xe1g`Wuq`
zp;QPZZvtB~$LYvS15H-9wdsBJ>t$ycAr|!Y6}4!P2ll@w^e7K`AwMl!h=}5=g81`>
z-^sd`lG-;^-HJG^zjztqUysbVqdrTnV_snOt7I2Zi(;aM%6jlA<#Ru41Bh0Ac~F~T
zSoA@*xp6gI2Fek?aVBM<e(@lLR9&UqlmIZ(a?oPyXl-O4KKsMXvin70#<ORb{ax*J
zPbZ?r_8UhU47%HLO*V~w$hKT^$64Vpf1+ZClY*GOj8sC}-eDh<8@JOsM$bbOvrBju
ziFhHyP3%p1eTUo2JX(Gp%5t^V3$gEZLKy(y6n%vi=Z{F2mlVL%x;T*n->}plw&sNf
z#Va(K*4x_@?Lf3N;vMdG?tSV}J3YN>P1qNPSMbh4E)$z5H@_WPj4lKx@BemAV>>or
ztvjKFFemD_`1o>zA5XE5oEoA>1xlybMWB9?;!>e&gkXwP0V<q2b*kaV4K(uK&!Yx=
zjy(R`-rZfv9{<L_IxNVW$R2ys0LxCwynTJ)uitjt%8Wi{e`@C$#gtF_$jj)VLf!`Q
z7zG?FD7KCxn$*zLEP>3mbCKM{VY1S<e>e-ctp)j{NS)N1vZLd#RZ+x<hszY6fAt$c
z*nXqlkI@VScexsW4l*(1Wc3xI<^Z05-aJlF)XMED0oWYDvdqh*tO4l~QU%Y>S_%lL
zNOa#mbDO<lYByopw37AKZ;x`fW%LJo3>Y)8_TtRZ{;XzKY*PmREQ6oHqI<z3tDp*u
zXmgfqI3V~>Q>2H5WqV03$Y6p=iM#Iaz<uyDB#D~hJZepp8PJ}*{cCAp!>1q`%glC1
zQ6nm3TfZ{l(`{^A#s-?T!+wk`6(i$!?TzmIPC6B|kD|Dzo|eg8cT3%`b0}b5Z6u<q
zC`I1!;!2qPzd;Euo(G}qs<1E|=JwGr5krF?cE6kbWsO9vDGJ=zgb^hL#ff!_l9>6A
z3)8pDGOl-iCrVXF1k27g5=i1cmL4@|ulx6|BUz+i0$EB@;xOHG_Z}%yF&zxOUnvS2
zSHSle^Wf_?$Um=X3`cs22#f!Iw0PyzS`zXxkU?G@XGp4%u|rK0`iYb$m>jMc!3E@I
zz=fU*DDv_s`UFZ4BP`3U?W)v1SBhI}s}U5;HmuP`>?*~yOXTC;ewsBJqv%8t48^$!
z$v3fW8WPh;?=ImM+jTr(9T$r^D%2g!_JL0?%h)zs7J0IaaA*&du>;6MK1%zJv6p}&
zMk_?fxiMK^SI_$L<+qkU+K*6gOs>u+H4}esWcLAM{?;Mpe$&cb$v_HKrush)SqZFp
z0VKKp6;aH(xXip6q~Fi#MWU3t;U5cus4^+r{pFlRmQE~Kq@rwh*pz=>!UHqtS21r9
zXWI~yH8n0GEC-1B_e5fkpdw+cv@#*HXbL*|f3D;63vc`?V16+;IFyp^!&euY{9|k~
z$hrGfK$z7s#KeSm_*Ia3PyYuVCv~bN-5?6i=k*%`36^vdYxvK5$3aAgumhH`D^Q%>
zF#+bd*1-!R-V#V?xw*JRMMW9FrgHy*edkbc`pJ<gNs)tRXN#xUdUT=;g5sZOta%_G
zvq5R&+QvLmYx~lB&fj+>TZe$@WFkdu>ycf{#YMz$q{2a0e>Ox}_`15POvc|J81S~e
zw*$(eF8Fw=r3zJC3dO)(1VxLue_kB3lfBXpjY7ZtLJfqJk{c2%3TYQXBz%N<dkk^=
zx6f~kfpki8T-j!=H#cNqK6gE`+eChco**)eF0%VLn7@ads%F1BWcFuEniYT2&nN!s
zK=ZfZ{PzdQOnJ-ypPYyKZsCnW0G1Gl^AUv34(-7ukyKe1x@-ibxOWS63oj!h-DtOZ
z<+n<NW+X`3UDyGIl+O>niBgKuTq>L>EK?A~(g%om#2E!1U61^QcRFd4FLP{F-#dp+
zC}2=<B`Jm|6W(|Bhn;t|PGdv&8-F9xotON4cJ0>9v`h$gu(y}j4ApbDkQS%4zPOg7
zr=lw49eFlVPdKYNEizVBRVX;p`Z;a*5WOxexJn7IEGDknsUv)>zC%h>pLVM##!PVB
zLiJ_qby)o4kO{;E>)Tf!+iOyOn=e^#=?@t9$u{h;Pkchc=!@5N4Gn!}e?UOu3&9Y1
z8&C}7<+C=E8__eYsj$4?({_x9^JW5Cd6q6*eF-Piqc9GoM!;aoVZyteeje~n=7}OE
z_QKYSo1&^rZ7Y!@Y^7N($TxWoUSk3jtijN}rXZrDH8(de*I&pnvOe9kDhN{V=r)t*
zORw>JPFxZfTgdTndVYQck<?|nE}(nQnU@>-R6!nMHAy~bW330T)=YuJGZ<P?e#!W`
zzThe&+|(r5X9()w)A|LU?Xf^y!1N}`zC%DkepnwaSDhVVgJy1SQ)kOIg$@xtEwnX{
z$W5X9(GB32^Ssswt@PGJpItykPE)L<1r<O7Q<kdY1&88N{(_ltsh)I*KlVxV*qgR(
z`7~GzkxM~+8Ti@t2;X`eW*|(dPa34H2eTUB(BBZ67r>WA)8Gc=rjIdHCN;IR${rrR
zDq!^H&}#`n4`8B_VD~J@<G|$-_zT|EuXbOeex4Y_M&){^U7XchrXZiQH?#bxHLHCy
z<m=Z<T?N0SLkut5TD$3}k310Rk?4=6QCA^k3HuRQs2a1VDaeT4vQu%2?b@>godS^i
zc=TugtN#=ZJ@w0Zrvv!y{_QINF3$pn59i{w!T~U}(G#rnN=cz0XleOUejEe~9E9WY
z1UrsT!QRLH2-pRm`TgvSTyobPUF#iA>&fjnWJ-B{^xOJR_xpRZ|5pS0_XmE+MgKhy
z|5waId~Vx<C)?281W+w&?6kW2t<$2n&yat(MLdFrQZG3^zVBAm;h1+l!zCs%NlQSy
zPES^L(pPk6(fVJ2AgUU(uPr(}qM|R;(`!a=46Bj|jgO5zuDY2yV7HNS;wZ?5Q)M$F
zDqsYOO(;DT6e0|x-#_M`0D<6RbHNxGc%u2psSr$nwVbzb2}qBNPh(?CAEvwpWpNDJ
z%$$miM*;Xe#^}M~dkRPorLfY4nwqkEnp&Z>TSwQt3#p@QM=hWztPx(@hP~wMEoU@;
z{HXR?>Fp6XoNYZ1Agzd?HVEeWHzez`tzv^L5>Yqt#5E|coVs}VjHc#lKwdOf80~K)
z_2}h#T<x0r`n*8EpgBRFo=d-Uir7lf9sXCxk?}m2=V(RVKz%UYfUNIambLypp`F1)
zL8*cT85WJD=zHbp%tFd)#o424pkAwuiL9AQA|%6@{l|xgp%o`hb})bneHCrz**iYT
z`Ns>q`dO&k+9yF5J8)oNWP$cvs_;%!(@?3@B#(8yvC#zu1+4`tr=!)HEOSI;7lmG`
z4R+}@Gie&3pHNV^7I~IKrv3b%%OX4aV!Xei=YdkaR!3RBwxI_nvyUEeKY2var*3N0
zXB_+kJLdThAn<S7NSw%j?X>=F8~?AcjsJ<Vjjzx@)Icyh!HuMM7@^0E%Yp()BSSO=
zB3g>JZg#A8G4|11D#)FENP&wS0{~{Y1<TDi6Mei*e^OTIv9<cE0KiNVmy@lwQEK)6
zV{c$@Iw1zQ4pVWE_T*M4AvQ=$hh!9(uR}WuQXy)CTGG(GljKX@?=?=obVCspX=26h
z0(djneGBPR07)=H$1Y?WgJ4k6r|J+i^4V=MY=->eBZ0ZpBhkwV*(EPex`F9RQ&DS0
z3ftu6(Hbj7!Gawj2!{Io<O~*vk5H+;zBe~3IObMHU*khT2MCxbw?sB=;e96F*Lxfk
zDeNO5Ye}{vg0wdh5Qqew%a_33Di3dyxm!b^Di`JV><EJN+4hv=?#-9;aP5V%98H;e
zM^d4N*iKNNwMJg_Lf0ZvGyv_2;n2QvxRq@Sm+|Qh?R%?cWt9|p)|)seP$a#>J@HD<
z%~a7flgI@F>Tj!}zv+@wLOKZf!)AgkE#9A^e@royGrs!Eeq`!^UIV>U?Q-;@JUEFg
z<4=-$YP4UAI1AY*!s1e?g|)3`iv@F0%_1NGF-2x>W$e`oERGeY7@@f8y`eM|jgQZD
z`iu@MtS)pTpf|`079e!79?xCj%(+t;4BM^~0v@h9E=*h1?W&PHC}&j2sW{I~Izb2r
zE~SnpJC(4>W3F~lqhep-(Gf5m6wsP0&dNJ2<&$n&C(9g~y8G(tq6%);9K;jCyirI)
zeylY}MkI9afgRKRWgf#kIB@uz<E7f|W^Ssk#>QP|=TR|U>t&Y_M64y1_E}@q;g-y8
zFKQOLg^o=PJXIPpGmMD~RZtbGDvccL_T=*zsqPluv_Euu!(cgm82v8deh(elCDZ;e
zJzOVFNmWR7>$ttb()Ih~sW-fnr-h+Bsi~cRd&=pVueZ~um%k#@g$jC0hY0vP(DmMq
zZv3mmrJRP&^6R3>l})9g*g8r3%kq}l`&!Bl*C3UlIeqysN`ey4r9OJUx>_GP$-S39
zKJ;z+7X18wg|t`y9saa@mHuih?wr%Qy4+mc*5BJA5-fXpkqywuKX(~*ttMV}D&u&D
zEvUR%^~(Z!tI#3DFC>hSFUCX}Pk!$vL0dU$HtuBQZxs-8KjPVSJHZkgr|9XkXU)&7
zggW;x<~IC>bW_XOMLH>kOmlg8lC76H%T9M4+My}`QVP$}=~YXL>Qx$D(1`}wbQGEN
zr{<C~%c1lPrw<G<VQhVU(FN*)e;JrQZc;riFHgGH$*}vvavXZ5A^(z_iwFV0Z0~g%
zY9j=dO=LPck`<GpIYf2Ainq3rlU|{>gIxQN*v`&v7I^d*V}`S%hBj1}o{~iEbkZ^o
zEH)UwlC>y#->1o@Aa4{PY}zbP8qCk%sAqQyojj#T)is*%nFa7liIHkyB2;6Ww5>l3
z2Qg{BzL>D$?I@0&KpBSi&>3=L4yAabub<c;qSxa8m*9a7gJV%ogc!J7|9HwiRN$N|
z^7L4O?LvBFrMGo|JVnB4(r8XVfE-^!0&0;=65);+B_f`C1q4V#orzurIUVvoX|d=D
zsvEL2Qo~30pu1H7PC9_XE<@?zW`WMD{L|;jl9O$hi{607kOJZ;-K%onM!1}PTJlb;
zZ`b4k2u+FiyG6Vte3tPWkc+eHBB3C}-X$fiNXU_kp#5ID(TDq@sIpo`GTS*7(cukA
zx?1iO)aVw9Rzk2qE?R)>aEYu6TC+A8ilIhHsvyZb%RfFr#)LA48Yxn&H-Ka_q5<_G
z+um4gR|Ms|Jd@&R7FJff$LuG*eRkEEL+a@UXsDNe7`OU7L?<PYq;nyDK`2Zk)y72a
z$8oDafqoYnvj<0lUyvFb(u)fWM7X)ksg6Gzas~W4Z&9D=0y5u>{MNR%L|m^nl5^dj
zL#q2P`msr>e}S&k49nxFaYA=ad3f6qdPh-P%#B}>7n=BZO&0mU%?d%g>_jhK`1a{l
zNn{X8ZQs}5_yhXz)ozkVMDEi%x`woa8=yg%U7@#B`yf)_kK)bWWUL}xckU%@T1+~5
z1+2p&3oPX1Irr84?Q2qCyolFcO<o=;TXF>zN!k;VkHTGT!;UP3uFl5&08)G8clgrf
z_qqZ(N21jPow(Si#{O?b!+%NEl7~vm0)ItXH%m`^x|#}Q`8p{_%aix^Z4Hv_dm51|
zWr?nsP<*qCW=Q+fX_~4RyOq(mm-D(v5uKxj3sf!a;yUE%iV=?(!Df?o*d(hofWF(h
z?T+XvMX-gH-7Lun4S+@0pNZJ1*ubJ@t9tYoqz&an#zaf?7`es`J+PpK6XZjRmf@;;
z8&eGR+y*ncg`ZVbUmaPE9?hs*?LrNl2U^bx!uqUy<Fl0ADUGDa$b9A~e>s)5Zr*Mr
zNUTxbO+IhT=qw?XWyMG*8kgVRL6j{kW*1t<Lm)yD0?sg{?4DhuOz$*8G8o3|Ncrp|
zv+xutZ+l(ixWZR^)9h@)4XF(YysaelfTS$y(c{O){$+$@CzZH}C>_kA$VBNuY^3Y%
zMZ}2^-cTI!NRc<`*KIX4b>k@Kb<)tNR;>>wF%a$4?893PZQpGrT}P~v)!!*qQ#|_H
zm8$Jzl;2cF`qLtE-I8PIJ68Q-gRT&zUBPk?{bSer_b2Bizt<ey?RujS;pagphPu!X
zySY!2<m-%4PA7A2b!%<JUNx*D5hyT-hBTp{*yH#F{iz0ZQkjlKRpnWJ3i8z?SE4(g
zUaI18&G=%^L4VB~@Ruc!y{<&A(uOokLw9W+AWKGHLP{y=vquy#q|vlZC3r)#B6JPg
z1|UKNN@V3p4*&v2U$hUxEuM^&mLL`9>mWBH*+u{kl=z8~RA`uitC{r3$D<6Sb$61C
zWYSO%+Kl<4+CN!YbbLWfUsmC$K}_G|ao2{t!GWB+)Ex<SyFJR#KDm=Ho<!|<O1xcT
z$d<W9=0pelQYYr&dTD9tK@|HN(+kFffLYD~F0_%h)yT6-dV&)yCfqgbO}B8^EN1EB
zQt`Isq;Jb3B>H8?bE-;u7E5j7;8;^a{zky7Mf^Nq2~s^-OwzTr6YV5-+l=Nn3+D~2
zU{Ck!-+v~1OdgqL(1>NI{$H+T;9^3yDZ%L_M1=uwTQV3B!Q?D^Te)`;WdW*Absu39
z5==VrRzY?J?tqxx2!paguXfTGb`hWRM%3lE#jw!kXD_j`P}oqpW=B+KNr|%53w?qQ
zG1EauIVHCEELjhYCn*HRRxBae^I2BWEb>XDK?`9w9pp4MIcqC#$9FIr+(P4fxM|w-
z%ye?}5-T%CmXanvLdn?zRJ2$wyS+obTwf*X$)eEDXu$(WK}gdvw6g|cAu<KRW*{*o
zO8QOtHeD$ZEGVlC`W2nISCCl*HbKKS10Hnjum1RPIVc)X<3^-m1p3R=*5}C#yy2g@
zaxz?OH%VZ^$q=#vGf#S1LhIi6I6i(SxfarrotIkIOO2v)K}1)(`yXf=S0eN?Y4)(2
zk78-L%ix|ks)G5FtSm^qx^I)(6q{T*rBmLFc2>cw47*-d+9eN0ko*TZZ={>04AYME
z{U8qluj`R6q}eNhQ-sh3`Ee-fpgB}&l)#qUY;^RYD$_dqvyZRuL1fwVZ$|inm|7=c
zdr@8<8!cA3b%T_{2T~G9M1G_PbhmJfGS6n+?VpmClTNoF%a6&gS~e!$dhq-t4q%(H
zgH=VWov))q<;TM02dsvy?<W|doCDH5E!4+|2iEL5x16*tLzg^$U(z)aO|o<NrX~q@
zO|*N3-~JGh2T2vo(xX0H6uJok88in10-4MW2G7qQ25LkP3ZTXqNIW``W)JecQtxpD
zatc2!lb{Wv@jnJkv?up1lCP_}cdjHQ!4p`F8}hxhb<L7d$DS@vDVlMWmtVpwX`gWG
z7$tu*_Lpoc891?fT->kYkxEHQc0wD<QZ&QlB0ZGJnI=2I85PpJq*ZNH!EcY)kJo!W
zvVZ*upOkBI%mENjq<<Yiixa8MHtv$Sz8y{M31t0w<u=RI4+!s86LDnTbUN8;6KI#;
zKr<#?`~xZOn>o=J*=WzPs+z0iw)g`CB`ECfL=X00(%}Ox(~Tt6!IQE3gy7%)sm5h%
z;><Vd6A2m^HeX+&D<emetf(_Q7fA#;%XYNXw~ZuX^$G4K!VXgRKl@!|wx*l*HXtJR
z5^)-kKxRWL)`j)BPQ(FRT&ZXsT1rYgaY#RL&Z?)cGJYs-7hoCXopmHpFK3?s^(SY^
zbOwht{^A5`chjh%&tdU|(KZ%;D<aElD$6Q4kEU<E7Hv03V`?-PD@HTmE+TG0((2BO
z2I^BivOj3-3FOq5Xbg$KAZMqFX1O5|bZYaQ8Z0?~9$n!Gl!u<bMy%rmyk^AxDl7O0
zU5^2xM1dH%7#%k1yICPiWuERri04cGd<3I5YUV&84yyIoIe;;D(k~iqNpnOFFF1$Z
zK?tZ0vbT>=N`BhJIiyiY&lMYJ3W`y^y^epXsjOVXq+^Vfqmzym=$|cUpe<qh<t<sV
zv(tjCpnZ;gxv=t0P&pVOuJMB!qI9LIG#BZSLfVfr5Y+;}5~oZ`zeyvs;R2H#rH8nJ
zZYHnzcGee8&9`aH<ZF20MpO!yuleQ(WhL=Dq&S9@F`x=fQa=UIT6XweRWXi%(VwIz
z*k5+PnD6C6U0yRiUY)uf%(J8zLS~x#wxI+wiPEiE{@1SDDn(|WRDF}emQJ}^s7v8e
z-usfoC$Lra(W!d?GiVAVnx4z9<t9BoA>3^Hyy5K~K8;wC=BrheO43f>7KtAEsM^l(
z)bb8g58q9CW1=Z2a_YzPi3|kZqa@d%zZ0rqW74pNv<)In;YrUiljLlQtDRsr1YOSP
z5<}XDw14(j#`a5rStP*}=_`a?O!h7DKY>&9A~_<K1kAP}UFu-4N$OtLJ$HZq-jA_7
zo267<>TVLFPTF<xr&U@qUkf&R#o&*4=ple)%M#GObGpB1rvGf?;DGTJcrJEF0fJ@#
z3Id4hA<ds<#mzib$8|f(Q*O&N?(gNzwN2j24Q&FyAHO0GV($m|TOfPU{ENil+WmyR
zCZ$QKBq-cl#-rY#!`vzJ^d#wg#(rd?M?(cX87aY9Ft{WFoxorGSV!n2a{NfZZX2d7
zZkhiv8u>obHHOH+PrD~V8AclWqey#)K{X4qrYyafF>TVc236RItMh|hh<7HYjr0}5
z6t3-<taQqBd*zp^K8CS%K}i`zx&^@<7(<?6GyFju#;A>p^bR{oTr8R%@;xirTO%s#
zc4m{<OxPr8|I#OE(U=_QyY%pBiDc?-ATi)s_SH%K6hs$>O*9u7g&-d7B{5=^k88q4
zE~3A(lVGETUe!a>i!R9~Wmc}~fk++@iEc_ZtrY6ewZtmnP&L}9ZF5y~L1MHsJ|P*h
zL5h19H^G8``dP9rq)jO4kFS7(IE|h)yX`XU8<9Zvs~~0Nas51CSrEoStFu;aw}K04
z^nyMN?nFzEUJ(27O)t`nD(iz)K!g(6PhgV7+++sdYb?>e0*fW&EL41B(@{8Wp!3$g
zw(x&25IVZW+#-o`xCW_kKZwpUxgMG{q7y++0MeW`ApWF+>ZopqYp`u$>F5%rgjGE{
zj_=8CB>k0$StEi%_*)@VbD>_0^z<Y_kmJNcK5goG(t`~;JD3OS)R|H>q=4&f&{6%*
z@Dpo0^u6j*|H#AdM70d%IUhB!D_&d*B@1j9Mh-5qKw9?8)o5Z7my8jHMI_gv8HgS+
zym-)%#*$1(UY*gkjhnO!Bw};|?Nu80JMN5tW&VGPyV9^G(<>V5sIAMW9dN`B!=s>d
z;87G6L}jTnIz|*1TnG^mhs8k<0YL#-Mnx>uqG1ydVnsv*0|O=qVR4|N5F{WWEJk41
z4NFo131F0-i~i~J^k0AUU&xP;yx;rY_uO;uId>e8a2Z+kXp=MOl?5SzeOubKNJ&90
zUTjav7p5#(<+?oo-?h!9y@{OQ8XZJzwc}`_VP})2HX4RuP2HHr_nIu<O!*Nk0jj(E
z%V|EviaUEl&p*&d+$pg(bLtA3oo@TUZ}pZ{xV&k+$}{xtEYq2+i|oXNfN4KdYRDdk
z1E|*G{l$_=bOV>w2$>0;vvp-Mr$XKxx%KF6U(e!ge(Zk?J$+_UQpDXrdf+RIb*JSO
zl(ONqz%HY(FfjkETw9=;Tpu8EMD|K9Xm4P3VF3l0rAF{tr~@~FIQ~IB{zj&rvorHl
zp5S3nL3+;Dy7;YxMWF;B)5=wJW3E<=3eiDJ4%NuB!|ny|LS}(nh3x~3{gnKRX(Ylb
zqii7G^rdcx`af%t9q11oU@L8TO^;LmB9HAqS}m>u=LCR7eUF`(ND)n~-M<Q%mS8@x
zg#`sAtKmibxEVKG!MU`Uo&`Hh9GR~Ysk6_gH_?3uF01EB8x3Q)&*HHsJd2~B5Z0z~
zDWf_~<nRRugkEc2+d~FgA&yTww$Ri70w=4#Za?SWi9GyoD&g&7G|>5orI5$vNS<9w
z$s@po$33m4QsCj8!0x%SASaU23*0RM<F>ogi>qEHo9z(r@^bbne!!0)F+#66<xlx;
zH3p?tpl<&NOyrpDRAvEjWrKVV2N_%HwDB+9>TYk<Q)3GA4Ox@XGslA!O-uF|`m|o%
z<#ySjQL`#4)>mVe>-+shoZnwiaB3_sMP2zWs(gj~_>Ns#Oa9RM+|odl?c%W8r+#~`
zo4rRuTtZTobnKn(`MP>}!>g}VLGS&=V%63@Kea_|$9QOIt;%!amj}?F<NW7Kbh1%(
zbjPz~VPwbQg>j^H1BfISQ@yaTw1%><Df7dA>n3t0*=7Dt!k2y8Zwo9g@_ydZWd9);
z*5R4>AUt1V+*jl(Wd<m0>*T~m7iVye`B4|PNu*7A1}|-4l&!0)tMjrffVu9hoKl0U
zn@*yQ6U!e*)>cek_-6#LQU=W`A{Xveww2_g|CJ2cBKi)&a>EToK_ECBj!V{@+&Ar$
zV4sG8I$SX|AY!UoFHBVxrD^C3j;jyq8!-+A*SX@d7e6OB!+ZcfY0m)%jLBzsNM=gS
znp7j8v{K8&v)Lw67@VZ4<Qc+L(_7iUqS+7Rd=k3%{gP$GM-u-bQwMhRX6%Hai92Mh
zY%hFsCaTrWB|zoL?I!F{J7kf*c%Vxf5!Ynp#jYz?uGAKvHAd&r!%*MSQ>{fbT1Y#^
z1C@kZP&|yi=1SCGzJJ(WRNx>V`THcBs~PQ3vP5D&B<9ES@_o9Vo*#YjJqzLz@*i50
z={ypgaaP%u2r@RIp-v*d*vZFd5@kxA?WdAEDk3v@Je%<LYlC8Q8jfHKr(@}v`Rrxu
z-L6`N8KJw78?f~Lk%I@jVRkm&R1!@qgG{^{(hKAB<NxydeC~ijo32o-Tr{>00V5H(
z#1UWst~PzhImCd>$z)gqjM&`cZ6q+|isHkRuZ0)1YpRB8LtuLH8zpSWQYV1jB=D+4
zm6}*aGt`uP!3p<V`oiY*8&k)rLt)<c+Kag6t$mZ(j|Ua}n~Kc*Ci@~Au0_ZJGy)(f
z^VZC2o<)xDa4k&5v9(0#twyC<0^=A0Uif;lknlwg-ba)_p~IewQ|N-`*hGkv!4Afi
zhP>+qM^IULLswN8o*~T2&VCNR){%}#on9m<OjKt~yk5pqQhagt0ufk@7?h9{r$zHs
zHbNyg%}F><dBef|vyapEZWzz`^x~7ILgSlHbNFujuWt-42e-SM#bSv>qWZeJIw?A3
z>t?ERsCX3~LayibY__myK7$doNcW@oGU^}`ZwDXwa=P4S)u;8*W^LcyPyF|GsvbVE
zI0;(o8$&~Dd^QRNLcJ=i-g+=^XhToOHo~^IBe4^F9=!NUR3S#tMC@L9eR<~n`<1`_
za?uYl+pX*AHJN#vD9&)+vy&%IG&_gDaaaTf*_O>to-uRw-Qwb{=ufBxixUe4;iG*c
zmVAMr7YEY@Cj;RAfTLq7%_$(hj^?#dQ$7v{TmM5k{OAr7bAOD>Kk?$uEuW`aOb!So
zSAYgW*CsOhax@=mm$kK|uI@T$f%VAqraZv;m65AFY&QQ{CI|sQ(^`AXiUY~;O0$XX
zm;$y88AUuY+6|_rXU~0(|9aBEz+mnGKw%Y5Kq?AF0gv11iDSdwu7Jc#!;)6^^<r>@
zg4WZf%r*!nX|50;;vSkS<8@ictcT>wdQG8Afd?^~#z<teFAJv{;GT=kikA$==vSnP
z4Z4JreJ?N1m~!M$v}$90HSg_wEgewGIw|atDKom>z=Yk>2~)4b+_)on!uf#p1k#us
zG-YmZf;Gn)DQqZjk`gi(e<ir%=e0cg(H6gJ7-#Vw<kgrKVFNm(L|O{)S%WuI^(YQQ
zV@I)r{;${_!jVL@qDQ7h&R{g3y$O@I@Q}uM+YRLLM^j+%+*LUNR3D}oQ$7g??i84W
zPdN>NW{pSjPk$m<LxJd7EFDWpyyFZw6A0=lMi28=_7Q=aV!;KRa7SXr<Ny>Jpuo1J
z1c&9_s*h_*2?(tptyuXm@JmSzR+w&ZN@|!Kq;=VnjcP>eh|?<AwbxM6#-E}&H}&=P
zdR4%$ujE}b8M#VKHe}T4f(Jh?lnLgCLL9(v4M2#c;KI>^+U47fljMlyJVC=&m`rBI
zn30iDEw)^Y9{3|IW0##YACh9~j~*WVXCVL5u%u&bz71hVAoLpfs+f6z#cJsoh)qb)
zXJVx{J5(U_IN7yrm453kZEWnt($tbsGDg0+0;y^tr7<uxv}LgpQ4jO-hhA;W>*Fp+
z(OxZU+0Re;xu?r0pl=hwaNvO(mLJA-!OPLUMjn-n_(=AQW&o?Gu-6X$m4kiQOXoN@
zfjYt?df*m0G&T?yA5V>^g)nMZkLv_E(sFFxW1McN3HG4udP-*|BV4hEW`PD*0WY)c
zLIIlv%U%feNBgCQAY~)o65SYGYQbQ%Mw6%17-x8R_^8jXnoJHP487oP2OB=1H(rEG
zTjsnL-nB>V90BKensXUeFBW0(pE#aD(y1BmjWn3junAQ8;j)<2tqcq@^=!TlKZ<VP
z(rV~<51%N*-Fpj39W6TzM^ppKMdYfmoO@w@2d;1K&|ZjAO3oZ+FwVqH`THZ7)y0rJ
z4n4(U8hWG$&?EwfCXj`KUzwVe0U{*f2;Qye8kI}*fz(?Rn)4V|1=CS_&=o&25M+8j
z1~B@2lp%34g&SE7nJPOA>Bc}7-{!o9!HDA0&o6p{QDVpfVnG!2(U}A=L8PHai33e+
zG#(Q|;hzU>?d_9jW)AYKK)71?;xJ}-x0lM%c!~(;3t?gpx?yWTTO^~J6wuK!gOOVh
y`$#GOUNv33%ssO7zXfR2Vg55>|3BaOu<+7mb*9zEF;^-NF}K@%$J=)7!oLAAL^IR?

literal 30546
zcmeFa2T+u0w=E1hqhkVF1q1{X#Q*}Ll9P@o0uq#*6+|Sq<V-W80umL4R!IU1k_9A(
zR-r*aKyn5J2~BERGEKwXPcz?l=G0&3o?G>wuj;?`e^$+i*xkJE^FGhsYp=ET_K}8~
z;+~xxI~f=l_9$IdxWT~it2+b3R<qx>!FPJ25@zAIZDuNp3h+DpTDeq;gWq=CyQ=TR
zz`zxN{$mUup;$059A;2bxTxhGGu7|){E$Vg@T_T*=+hk{B7MAvPx3xd@!Psh#Lw^f
zVZ4I=?PAXZPmEnI|KY+YB2-d8MERw&!9;;+;Aqx|i7ku|F8t}Y>%rk)6!seZdBlkC
z`Q+`h=lWgNKR@l6xh*7nuAh|JI5sCU_gaePx`0g^NXuGRYd0)DrW8THz{5@)*2eU&
z7%m<C_AC18^GQZw^!tS?JKP!37iX0}>_WdkzP`l-{q7gCZ*~j%;`TE?HuU@9q+iO=
z?+omG|NTb{gcN`Kb64V<H+%*L217HY<gDej6!rMH#tljhPxkWKDedWn+Rtb9b<72^
z2qc!5%c7SJu1^no+C4p{bjbPZ#pafleLQR5wx{a^)2@w#K9JMNt}`y^fNRwd*fJ1O
zJ2uzc-_O<G-~Z&85^;=RH2`0-#EToIEw0|aeQ?L*ie~((mb0_7f|r+<_s^&CQ~9bw
z_+T8Z6Bjx&GqX$-_QmXC6UtB)Ts#*kzHe2poZqe6U^^^G=5Owd6Me(s^4#Km_bw?Y
ze0g#1#LMVtsx5V3sY0Ad^2g)Az~!zQIo1_#-}JWMU_o|=`W33hIyFj?-Xty!;&7Su
zjMjHs*-NLVryY8%QucJMr=@2F1qNEwN4@!Yh9NAQf#KkbU&`3eSvJO8jW`x@?2&o6
zY(bN&tgNgM%R@|J-*f?oFKyDaCh>AGFRxighCVH>ytMXv01x;66KWxWflWR$PK`qi
zeg=yoT~QJhTNrL0gNN0YQ!i9{I(8kdO{c?#gM(uz*mTWIL7{B1$Hx93dg@1?`?0-J
zD_@;Rr@&wF^71mt&VTK)N{OxWomQ0l`NVnkXT5N?vlYDb!b7wSZR)tyR_E1o@he|m
znUuDwNfYI$Q~NO(W|`RwWotj{Su*#)Yv1l>B=23D&?P8i-{p`-FZ&eFx2Uuh2nq^P
zrt+E=y9@I2&e@5(PIa9;u+#88+88Zj(WYXtO=GQNzVk^uZ#Hmk*A*k%-jT-qwlbZZ
zToOF6)1lMYjhG@&BXv17$tGoH3c3#ZEJ@6LIcL7Uwo=|9Y4q^-Be1P1ipCRzhrV87
z4y6p&DB9TA*b-=q4qq>BC%&+ZV;@{!EF5+tP>s9IzX=+boWIi)#|4WXQdl-3NLoWT
zzx>5gZohcHvt}8kn$x1az@0MmT+~MAkjIZFlw|SpQ$4-C=J1KZ@NiFzHbk?<#>Q3}
z|3dQ|ePKC7UY{YGt<IAuqv8a~o}QkeShBYz+G-(iUDBSOo@uM=7z}L79C8IUnMQJo
zr}p_}pE|IU@&~i`VV{N&_H$`c{@>?Gt*uL*Ym}O!X2Z*m(6x9E?T-)acN>(24>fC&
zT?%RP9z93t9b7NyT#<n#5V7gVkofWVlG&H%B003h-kJcp`Gn`<SQC93fiPVlUpbw(
zvDUN^qsHSi-)uo3ALrRvu4yG1V#{5=W@kT$i;I&O4msB{Qdq<7Riz?a-eyU)w&RR^
zj>Xb)($fX(VJ(&iH>kK8`_gGvJ3BiOtCrVA@YIGLorpVGTH&~=hb5ba(x^X2>W5*&
zgu@E=HxCSO_hJb?Ut%QBWmT+B=;d2$D=64@y-WBp_cnt1$CG#AS^j%C#i~@r`wxu8
zIH^tLcbYVJbg*K5=c0#;hQoq4=5XukWwW1lSu~`)q`lL7Q$Va(94;L6_3~cKiw|`x
zpEO241nsKXO6Dc0@b8O{lzB|Gos608bZZUk?PBobP&)WN-=_08=81wr%fLX~ft?TK
zdeveiMC>>*wS@%Qv|O*;{MSoXXeVcOipA5WEL+9q#+rmZvQkn~ew1%p?Y4~fDR{oo
ztjH59N4Q-Z@dK_><+$q0HnKN5`L{>vA}xf<|Ddfe5!44(I|`#{UPd_D0<96d@^hpX
zqj>20;#x^*saLEz{BrDf>EtV&%B}aCyNkuD+n11%8F8KK9hO)VZwm3pyGka`S(;n7
z1s;A7-_}NKQIw!z)cN!0Uz5Fh?Ftuq*KJIx20gBy9_*-nDQc5uFgQwEdB|pR)fGP1
z7vIl^H;S-tH8wV`t&v;I@$KdD98cJ~&VApwDRMjyTSmFE>h0v@M4+ZtoHlrWGPVY8
zN_M<+$zpDy1rMtfHNRB*^u&pDoy>`RyZnMs<wm!;K`LQ`N_aY5I9M^b66aWVO3Bi4
z%+DpNwI;0`*EBX)Yk@cJAg^(7az2g5R!Hg-e0^#+nBU;+vpA^Z$4=p>TvM)c2hkor
zYu)yi5tp6UC?%j@Xm3oIOS>a~Eusz^9NkG>n`>Gs4&(8j{TR`ylcugUv~2y<I;;NU
z>1bsh8%72V!^Ur1e=aUAK9})uR8Yt;EEIx;>98s7G{yM@*T3AL4Q`Y-tqk~5r%Cg*
zC*qC%P!6#C{^?=PSe#dNtGawYwv-smR`W!WTmQ*958Vts%+nL<Gfpp<I%Jpn_Lt6-
z*z~y#`c%esHu)~*p_4E~WHUYVZo0%}(ron03racJ2irw1twp(lh>ie6yAOVLrtr)p
zzWHr6`}pUtEM6M}Qw6>De3cAn!<%@FM4I%<t<6?C)bin9hqIm5+iPAOl4|Wk9Bqo{
z@gkSIoi?o~8+0|L_H+(O53Z>Fm|KycRP7(84sQ4orqPp=`2Ju&zmDab)hS2@QEEI+
zUqqhNk8G0-FJBsvjx{N|cgxw$jX6E}qx*Dzr`ZN=Nu5fCT*|{NzjiN#OWHNKpuI;d
zt+=7zb21YhSa;e&C)LhvI8?m)*(uG$^z`(Mm8kR<>e4Z#q4`$zaDl9%#6i~;Z@D{P
zo?|u^u^VFJFSp;A^l{GjCaIVPy*OtX<<ddvD|Q+-CVT37CeL5s?`KY@NxHz+B*HB;
z%5^&AcIzh}%~aRgJc6s}2=?rsWop*9jEz(qgxfAJ@R<F$y_JN58Lyac>dfS>7Wl|k
zQmSSOQ%Q1lbu~Tzol3>R^CNArZOE+rcuH#|&&6+eXXxi0Kdv5k2(olYd%CV-f<_=j
zF87(@v7z^^YAU^Q>&wFqHC%4HOGX=v;Q=%^H)AjuxH{vt<r?|0k$SwMuC6YG0LVHy
zzO+?$(i=QNB4JIq^*IsG`Eir6d}mUNppeQ&G+`y$eU+4APFr2Le)0fsd{a$NzRfTM
zgV189v1)io>x?#i5E{&8`id#AeHAS&ElaKqxDSUy<dPoxu$B2*Z=BamagG@==+@~c
zp;5x7+=_=B6gYB2c;w|OsQu*XdSSvLNbvCSX8k2D4&?HsWSn<k;BzrM1N}<1-8H9D
zVj@iH1_9GRRGwnR4`i8?OC_sDN6D>2e$l@%)-l@&I}+WcW{O(q<zUv!ii(PGd*f46
zAyhI!9z})s(<o(1kjv(V8l}l0aE6vYGW+h$CainHj{7_|NBOi%xC-towt%oS;5D2O
zz|G+r8ab60%qpmyl5*|E+1H-cVO*RI4GpB>b^j}GU#G<TN&$Yz)+=$gQm{4RDeQAp
zdH?>sZF7M^@0I+*VqsrOFalx-n0U;MzM*zzWo5bltUWPY$+Ld1XA!n&_%5NMn;$%w
zuDn?yLsmCN0h2U*N;A3YKC|3&d&|kr>~M5oA$r0CWHWZYei;{UmfxkQThHazcYWVW
za&Enl!(?V*)I1(tj+#7e{(VEPMg7q7aJcYf#H#XQWhO<^1)lE}c;YCrIE=-*Ri|mE
zCu*F0T_Z~NX!7#(>Ay!+;0w!6D;L_HXUp%A@hiiJ-*Q-*ShEDeWf%24yL*&Q#J1T)
z1KbcVKen*gi&gL4SnVVXBu>{w3bc;Zg!2rJjiim3Z1G&|woI9xfpeLQ%O0wy@$#;~
zhKqv*mg|l8oJh6m-LEE*FttRg?;ThyaP|$CUtfMarg`!}#8zgRceh`xFX1+p-dUGY
zXG)*Kp0WI(@@Q_w+p$C6@(r2Rp6#38R4|g!^n1eNYq3(Ic1s9#lE%l!muTveBhTK`
zB*$Vj2ZSYdbBfts9iW7{y(X`8H~AL4j!O!Y;`g!dd2hv1e5mwL^wJn%HJvaqS8nPx
zoi8Y)6f5Ci_OqH3JKs~Gaq`%Sn0vqXEIy52yB+WHtTaxb+cKE?!KKq!{Kv{6$InMd
z-ZLeWSx1^u^l+EX_rdr1Dt*7i$(A;)Xxa3>?eG>Shf}BW)N@^@d*sHb=!W>F@ergf
zdp|NYYt+)Hkn1C+3wnj@ysFtP=OqWd<>F)920RRHZ6do)XqofG9?R!UOn|6#d;9@x
zgQ7uS_l0&{{OMKz5#^n(?c)LMYcV}#1AxOTni8Ig>4wUQJR45W%onOR7K@bX0L=Si
z?<~`Gc;KG*`o4aBM`UzK(6~yNMOmvBLV3%gE`(*)xoCNu@9G*l7IK4bHrvV&NNH(r
zZ^u$0U1TMiwgeLxGEE7-pXWU0n-x_iJmLQV+MPEuA^iA|W8DUdn_S^>q{Mmh+qL%f
z^^F~TO_Y+7Qm$U+Y|K5aYdTD^mz$ZHXirZ!sXtDndBD!&o((3C4o|NGBAzJpagdKb
zbL;o`={o(U$eBDyMOjzRc)<ZlnOphJjFZTCDMk|bRzCXDMmg%^1@qTBo9oMLzHR61
zu7|(Zdd2`Ajknv*IjiHi;R~OhYzLrpd*7h5iwocW<JaE0e~>;nGL!W5wJRg})5BdV
zQOyu)WWL#i!M1x(yA{CIVH0gVUuo^D#?omxQx=fex4Duz^mE{X&cWwff&NFV?d`)L
z^@#C`4Ln>%pt*Lg9xog&YSW>hP!&(>jwg;cCk=nQ&m0!ml5kM0cx5!YmBfDTj#m2A
z#p30mU=^XJnTF(q6Jn6>``-=BJvR?iN+B#{V)v|MHOQ}hXKp2tT2t^wzQv+|e2)(R
zHdj=r638yw2Rr%T&obY&VV;y$)8$WWo?Q2xod9<_40w#a2}dCI2mx2@$r--%(kAN^
zyW3J$=}Zu8uB?gt`O)l+)$F9y)YL&SVkK7yr??Q4^wc}wUNS@h(mWKGbrk~MSpI&?
z;2It8*64xrKUSt7eUO|@hXt5*BaS&xh-@i7u5E9xQ$8OJ-(4h}(NT~iT2Q=1*nl0A
zC|qnLRI$F0of1yJ6FtRZ{$iXkx8eFwuyEM*q$>;3gQKIP%XPXHH}1S?zg`RJ)5xvg
zg)|Q_mP;DquwV8{PiIAxn*8jCtvQ|x6TZE=X*~9sO{oxP3Nt*IFN;#EI`r`O_5Zf1
zE8{m-;!|4Tb98H+h{HeaIh<xg&NT)G2A+ubKHHIHY}it<{0;YZ*h0rZ(ggrx6-29e
zIqn&@ME$%wZ(7+*+;2@4kHtBRMCw)#5rem{IcnOX1UqlKMl{`>p4?#9_3p?Fq^=@>
z+rx0*A+fGKrwj}Ylis{}^J5I&s$zOB#^D~+Ei=xmD9Tb@h{Mx+oR7Xy?)H`$7_z{%
zYwOxAyeij|q<KINzLpX$F%-y%z1Gpuq4U#SLi|X&bA12#3NwY>2Y)Q2<mZdV3XN4?
zxStRCQDUJ@vz5UL-W6gQ=W%?!b7R$XYXzi}>W;2aF(2;TKcJjbO)-Tmp$GV~dtp8$
zg1Tf%o6sfAL%!GTpyJOBtZ3Lx!&)B@?i?BpU7v!2i!Xe8N$Tx4tKU0TV_wSncy`YT
z=}gMyh<1$Jj8c6QmJc<z<f?pZs4tgG+jY`Bgfup&$HrP}HYhwB7z}6A7Vmn)fqfVZ
z&+>=uEn_@T0lE)T2iPzeVZxfD=cRCjVXDJ<Os8AwZ_Mc9h?bX`mQFv0@=F-4qyzvL
zb4ctt04bJ-*a!zr*M``jqWdWWw>yjgS0%H2S?9U4Pmeu<1b^D64Dv6)xuF#krv_1n
z^_4N^)v(3;cBUE2cl2uxIbB<o#+E!$rSwk+<8gBF>M0wu0rI<7Xxk?z(zC-LbqM=z
zPzO^s+@^ABbk>evzpvf+LUqrcjXCk`p_}PFY0Z|3;oPx{rQd&PA|?!6u)M=WgvG;m
zNFrzmn5=$a2_ktHN3Rj3dyv-ct)HQnlla5m?~-;Z%`4&<pYFS7hP_pf_SajBAI$Gj
z)V&mO3{{|FJ~ChR3!>4Ud#&`e<=s3pZut@v`Eou5*;?{_2JxCu@2Kc6uo84LVPhN6
zH?{<d*0&wDk<XOTrm^beiHf_;iSr@FkQ11S?*Z;gv1C+xdH$5obY|heOEtFmZU;!Q
zy5%#Ddz=@|@~=gU3F-ifM|4cgy-z#%5_%yc4?`??loT!}b^O}%y>MPOiiwlr%t!b|
zk9`2-I3&FBQ@GH2ug1v($`uT5E-nZxAvOqro3pDc!U?Ob{r$1)2XF~l)i3ZqR@T=1
z#ToLvP<k&bG_1BBzwfh=sgD(1oiZF;?Qr&NPt(2>*OZ=J@lp-%q))lY5`Sc^P9Xc4
zu?>_?nfVQorD0CRMyrzhMb^@f1&tZ*h+gV%XtE}&P{>-R=vZd7-UaG)3xaC^m+RG(
z;HDpBRX*6QYcU+Q1oj<1W;U7iABCd7b3+AmCige@fP{pEBWiLhKjtYBd@8)WLl99^
z2~()t@Tn*+mMr(qcRw_MN?6kTcKPLxX&o^vnVFdmb*ECQ$~@*0OG~8@3N0M)wDE?>
z8V*=HFi@}D)5Uwak|zweK86$Wm>&H|OwM^6Ku5Yz5b*kV|9GNUZCBXOS|24C3`OD<
zx%lwk6ZY0tbFy8DIF_@qPGzS0*l-0g5hHa?^nWS_2L^@%g`>?$$miBdYN{CKB415G
zfCHd|`{_Yd-J@D9f`xq%GbePjjMx!mkb(bgt;j;hy=PR6Cpkq}DdO1!&Gz4}1eni_
zXwU537s=FTogbbR)qtP8@ZBUwRri<6wlYr%@{!{KM;Dx|U(Y`R6cAu0QDeZs5OR9U
zz%70zcWmi&0o>lZn-^Dc#Nm$13f@1C@;nL*tvtI%3CD#1m|_~+ixK5Ya(-=n_imuE
zYd0UtkIOS|1WtrMyYnnln&NTmD}0u;5y#?)k>xMvns%4^BL<Q*&u$rmS?Y6A_ny7a
z6VmV6D+n1lDIwuju&{%0`FzW}L2-P2WJu*w=^!oZNB!Mmd7`*YYBE4{BEDk&%{(PJ
z`k9NHTg`i`R)3fMxt=<qa#Z-i(y_i1sVV+4@v69@pp$z-1uWK<DU`f;+UZ8A$&A1*
z_oLY;y2QB;J@Pfx&9pPOv2z-E(1pn%x<5B`8h`Bg11_|Ft-hbk63=e31D#S8A-q8G
zge9rvjYWBu#>r>9w`+JG$6@)KnH49-+OCrJ8`>B%b>0j|(NO=FvP$RW?*S>T@~h3^
zyhFH|laP`LveluSx-Av%eFNKhyw5}l8NZBUae{!MJF+{}vsBs<C<P<u=F1N7t(1)=
zU}Es^C0ECjT1jNzrP4~@rlIIjV^7kXt#LW;9Y^XS&SCwNmhC%<E+OZEY2atKT!r(b
z(+Am)<bGdWhN6HzET11+1qnlt$z6O<t}Y+aWCX=4-C-NHs`}>l0Qt3B2s&bNC{vC1
znWXN1C`r$^vkkSI0Z?b9KOKbsxJ((Y=iYM5=B1R2wUiHFq^O0LL-G%FeivM7ZolE}
zeSIz9+q$i9Qtlts3Rzn6haSai8YZbf^YYFY?XY+g=|smsN4{|-1Kg7Y(vN3-Hei`X
z#_=rmyO}D?%f-z=N%mym?f97dhR126qBA}-5Ye;sjDg`L&EFK-{v`sal$6$J(?8dn
z!+p=kR*Xa$DmVVg9yFAvQ&+6u*%%{P=}9o#<l%sEdv9ibPv-_yw1A&pTYAJgw<uBA
za1=H~dhcRAeYIvW`kbX&A4Kf@(=JtM&hfJ2ukN>ye%-~oo5U<j6mOFH`T1y4aj}P<
z=)wtnJ+WQaG<F?x80uE2^@s3;HH-M{)J-5GJyUel#Qpn2-`-<N`|u{7R;$a187EG@
zeW0l>D;itzvrb^UkqMNhltLV}kR>xAiaKt6O73_OlzsI(c`O@VMyjd5IBW4Cnxvh^
z6IRufYQ69%;gG3asEfWJjSGb<M+jG^;4*-7eId7=4t0lfNg>6V6Da6snre>%11GZy
zaupjia!M0RJWayLYbr-k3JC6v60^C?WW)-hbCO%JoMB3k^Ie~dPYD+%I8zWAymI3w
zaBcF4FgwzzBa>~DU0yI)0GwU+U3Z6Xe{4_2lL_mqlOjO3<YHeIc(43iM%8>!dka1r
zN1G&d-+%=$U;A-FUa2Xn$7iX3xJG{6p~tm4gq?*TQ_8JX(p0h1fDPMZDB>{E&s4&L
zoBX7K7V<YzDRwM2g0e?ih_Lo^ej`k3;%yNeNiRFo&C>{6@|0V};M%CTIc11Q8deA9
z)}q19MtbzQc}u!F5cm7zSKCsQ?c=mhD@7o%CBS{4-I2#w5Rn7do}W45BjYss#kWQ%
zPTI}B_W3%I@fHpp)}b-2{M9Oru<U}4lGBQO^z(XgpZ_!z_1AdKg5wt^JC}OaE#;~D
z+0&&ZCEL8S5tn5}U6~tO>Yf3TL#;QIOIl1n_qLM$oIE<7or3U(4~t3>#{iW&t-h3B
zr-WOSCyN82P4WinKm3?mpMxUoh3sR%Si{SdpqkRjG>AN{_wH~vP&usyNmoKAT=eB3
ze)H8ALULMx`sU?n<C6Ec^&zDmZ<62ecC6eZe(Xf7^Nm$sqJ726XoQFHy^p`vLaiPF
z$sXh=RJ5qeE@(M6N{-E!*rSMRf*W(}978Yh_xFE4UF0wvfm^}jlu+ma{`iPp;jK#l
z+lXET>i8J~1CIi4!x<OC{<^yv6cT0M&J%I&iJh*%&$#y7`T3)^Txd+0(-s#8m0!<#
zj8h}~J0H1t;gx=ADJf4o-5JlU+wrOq$6m;Kxk_aNzr(alwY5itnkfOc&qYFo@JI%J
zsOKo}3P~N;V^a#;c>8lKg<MXugm|Ei3gh?W`T6-{P$H0@o@<mydfk74mJ=hV(?FxT
zRm{akcp^0X1Nc@|svRJWpMaoK>hI3Q|DK?sBkPmeAt$9&H|Se$Cw_2lv_T+sZW@d8
za)i%5G1-x+5^;N2?k+^|+7t3CwGpnG$=66uFLcs*bZiU{DHBv9CgAjOn`(O*N0r+0
z`_Mzz;cuCKP~fT?dW%R*y{lZc-2hr1+w2SCghjb-vFYK?Y}5D<4pHmiC9Au4uY#KO
z6snfnuvCU+_OE{_yT9@R)PwlBHBiMw##a_tqZa1ppFJ?%O7ou3j8|TS!@)>6$#i_L
z`*=b?1iba)hFtq@cU{;XsN(X;mUJ4Or^`GZy}biEKP^goa#?4OD~+t$MjWe!c&F7N
zmnxoJzG$%81I50(MmE>g;>i)fldiR758yKwdjJqzc{66X=4I-;GNNQ|ZmvJq3%hRn
zZXIi`S=OBof4qLG#_z>$>_BAU3lD%|*alGud)z@S6e<}{ytqJkwEx6$0iBF-C*Ss|
zfc7rd0FGImboJc}%lt}dr9uJwW|>A)2<Cze4AxD1_pqF??<<<WawB?PJZ=U~RT(k%
zt2~?nt@p`L)e%F*2a1RrY(TEf%!GklI8Gv^j(aibg1`iao$%<Xx?FL_;&63nFue7g
z8gRFAz1QO9WDy4#LAe@`n3E&oyHamjy-p>|-|R(^h=K}L7M^V9x@V^-P(4<Iu2}Ee
z0JRn;kZ);sxuPLH^Q?XiFawPNgK>c1AG!N_ZZT9;5fpb+q=*2QY#P~<n{mTOjMr?a
z>XC?D&-=hYcZh=9T=cyup?(#s?b%GFQ3-Sc5Vnuf>M~^7P~2(?t|!qLfU32<6UuGF
z;)E4dAdL$KT@eo?0|A26HGNbY1k(78wK0e9580Ty7FQ>;!;#WR8ips%i1ibFj6|F$
zfJ!xc#QQWlByxciu||RvQoxEcJakKV!d}zU!}mi-mx)T}Kp3sfL^E^OTQ+n&y+;I0
zm3Yv(As5nsC1ydfv$aN%%SDT5BLxij5WvbuJhX8|#P?P2SC<hPB6Czg9a@cBtHD)4
z9^o$RcQxz-?w<mzYt=5{vb}#PRA}cT{@ww!#LJqkAB>mnuwI5TkSHl_n(D-bPE#Hz
zxv-~A$|O264cW|V!a_k0IL9P4{t7BSxvyjyp!j$Y7l`;Sqyh*dfzf?s1aA(&OvGiP
zO=9A05+a|2VXx_U=Dc?8x)re81X>$<(J%rBYd`UX5Coi1!nzBL3X-iH{=EE1^dDY;
z&qo5P00^1^Pq)?AiYE*qPw^cwKoRxbtK75I|2#^LUt*=jxtd%cN#)pf=fY3nO4G4q
z)lO@=qF@9k0MVOQ6sndgmdcBOdD-s00i=GAKvrO2=%lOWRij-gv91QTuuu*l*})6p
z%2xDBUG0oqyDj*p)AH@KoT8)8TiqxFCD;Ke1W<Qz0PYB65zwhZ^^OFTv_oZcjVd*w
z4Sz!AP&AR2J_NjXxJ_2^aioK)%dOlF;g*#OgFyEjs_ht$(HA1OK0S!w^kNB*lsa_u
z79_cp7)Rw8K(8X$fwCf?i-rfh$f3Z?*8q`Z4#&U&sJ0rU6@-<_9*mp`I7)I#Gw=am
zuiI{fA4#juVP#;*k5q{`(r3Ws_r)FHHCHejopvEY0hpAZpFg-rfGs}+C^S4URGfOM
z;>oc~ZeK)dUgHj++(-Pg;dBWIyR8Dcjqt3OaU0}~_M$|)0AG;p7i#wIVQ{h6bnocy
zW=GL;yDhHyGTUW^DxuP;eW*Y(Y47P;1crUNmq6>Cry!M;LuV^kBz(4*_({1T^f4@m
zuoV#C{g%A}+@2@7LCFDo0FdtAT8#MlA?g2!P#FU0(N4kkP{(&4vX^OSI@l^ci!lm+
z5c`H|SXf@Y9J9+tJ`3&T1(0~<D38<?s;V8TwsWW)3W7?-f)a}LJ{omee;**|Aa6My
zAS=3ziybY##LLSw$t{0dCTuKiBxe^x_BMwSGoPQGf#H>qgy^oDoM+&f$dRWil;CKi
zvu2peJJA5(n{8v3c|*gMinfr$$6wjBa(Kb=VR!$W`z_9&Kc1>z5yEpWHYIc3Yxgp~
z;9}%h%jW<>^uaB^z$b6<&fCJ^KaHfT7|7prrJk;pookZWk0?X9L?j1PGD)8flU?ju
z2Ik@rkaCwY>%oNZmJ|FXT{~G%>uF5xOG^W42oZMZ@LC)1q`h52kES=#2mnZCFn9|X
z7;esneEc7Dru=v2mUgYlExE}_Nk>7(wK1*^1Ra?hgHei500JR2{Z<hmLbUODd3Qei
z9pGw3HH(PRo;`bzl#Rgvip~MF!l7GrPgGR&GNcOy1(5BK5EUw5Rs@L`7&bm$-jb4%
zLpE)HL`6lR7!erQ*w_f-jA&NicSzD&=f%X}(5@~_CTW~(E8_J}2m1pDhgjTP8;Czj
z5$Ibst!}M>fi9CB?eF&Se{^eI)m-a8A5Yh%LIpVV!8p)D{^dU3H?G&-a%7dxJD}Je
z#n)d>(0FG%apBUXOXo%H`b6Q%3{zZQrKX-TPFcLQkl-%OvaKUvX!?C#UaM5*R#4hW
zQZ6A{Jm}M0dRkkLzR%tY6%Suc`IdpH-ueFXO8cn&QjhCLlov}otQJMZ#H8dVYLcJ2
z`+tI?g?{~?ScU$(2l9X5Hu|6Y2<tQ##>j}KvEkH|xFA%(BOegd_&3griV`8avnz6Y
z+%6;gkb~jb8Q^!Io750-*+1I|E+JMSBR~zp`nku@VI8E+xDCgzlj6;Q>dd(4f?moH
zsVmM%h7G?LL0tCjhwfc~jnCBF*LMh%Sj5)=ZMCtlNoMXEI&&0ol$?MKM?W}FvKN%F
z-(SkeYYc*`l7qm2ziVan$ViAyRaG?yc{x~gjWDnmDUi8qf`u#eCU4NKUHpmmTL#wO
z7Zg+jan6Ck0Ln~vfP{puCr9;{GKgNJ7p1_U7>1_P-|#jBeo&#fQbZLHUL2i9PO2bo
zE$7Ko^A5^-I%n3?ePM3{OLn;<0FSI8yh;%uvtlqglUb$Jx)nboC4ld)e^~=8d~}7Y
zQvi>zI}nxJk^F^1wk1}^Liqi!I{z4o-YX_1W&m3-;X6*K<DJ^%B>;X>{e6A5u^oRT
zCvQj|v$3)|)oov!3<$)z1OonTuBWO*>Oet3fgC~jF&B~A17C9J{4OdXmnICi-eJWx
z+y5R{xx%D@SA4nRUGakg6(g&<Jk1%A#86+K{Wb|ev<DC!X`vXR(@~%r<Ad7tvA>ip
z)CAn60TH<GY}*U?ff0uvO`)GZ>Hcu)uAN<`%MPusx7U-bjkmCjJ}<1Wtshhc-3~~_
zwvvz_Al_9oRo>ENiKzlu(dO=MeWG<i90Wu7Q@&8r5Q-d7?|03yH|D06VpmY2@AIB(
zz~tl%mw{u74mo_mKU76q8svex@YKqrG(4jVvPgXO1~{4J!akpbpe2~5BKz0D;qVBM
zH^gp#8_4)U2qI-z?Qvn7Wwo)jr4v<m8eXy>No5F1^G8S}1~qYMfm%YKmJ))GDS7(L
zAk$L+`ma`R#b_g`8YinjI<q#~Q>nd%Pw}Kqk_*z7TkxK%@I?m1iSlRf!5}1N+odra
zbTA8!!2IbZh+QQzdAAH(dwO2RJt_yKT`rsHs5A;1={EssSqAz`eFZa)2~#Oj3kh2z
zxS&`^+ZOg0$m}-8YO2fYQG4#!Ms{SIni7@YK7cyuNya@1T}r#lhf<Wf5D=_@G+2ey
zjNR_?vwtwpuk?W_#{0>@mt^MVKor&}&xIfU{t*Hf90#ipHnAP?adF&}@0pOJhB4d4
zfF~%Rk_31j1ZobQOMC~I^PAh-^NH{7-Bvd=H1wP*y;Zr55zBS5Lc!CJc6!0%>7M(f
z`1PwYKlzkyJn?C~=ReSUXXe{?;VE=*E|hm4-!gDasl~x#2_!`hUBCqp3fNsRv+Gbc
z1|i=7fKv@e$=}`F++;S^<|re=I7w6>9E1>$3}&Jk2he+7IZl}E9)N9v>@7$e_bIT#
zV#Dd|g(|Y*F)-w232hkwQ;r;RRw4F&7`%XCZ&dKrkR;53PY#3~Es(4h%YmeBWqVip
zDSqtY^3=UzL=cP06-h)T8{p|D_nmed@!+PHvzPZ@Y6JbB3(Ws-%&7mqivLk>@4uHb
zEw$s<+p2)>011|KScIGem6(?o9JgjrD2itJD_dJz=c-M9NVYrA3m#}9#3bV6dq8m@
zvD)bEiPR`l19grI3Rlq#f91P(m*eM7LanzSu-!Wj{si~fFsRM_BQ;JDC!PC>97Ho7
zD0k0$ysRH7=r$h^A8=3V;M4H`INt>R9)6wQ`2a8K+>Qr>iT|1bBl$4P&WE=IXFc1x
zx(?ETE5x5o;2Ps%U<ntAT-m&0GnE;wQ;;UE5uT0CtssKK;qq=>O-;>OsfJA`3WfkR
zd37&O&qMMZe>8NaewCwwOS|R5SITvtyC9+%2^Fg1!X1pBqc|D1OR++E+9_ybRzh#f
zz{LrOv%u>@X2iS!h)>&V4CQBL{jKNl^IP&5=T^#G47R^~`Le~YFeRl1)(503gn}>_
z@H2wP={m|UklOEB_qgj70Hg+&QwF*~FE208<E}`>b8%@$KzOPv$Ld3GbMyCIZd?b&
z?TuC~JVA#2ohqf_t=(GS`DL=`4Cl61c`mjv?}xu9@KR%dD&D=4U;W>E*#EuH{~b2|
zMePy)mu@Z5_7Xp3ePA9=Lyg0Y91<X44ndEAW*JEp8w9XbK3P4Uo9x+HYHbXJ0>Grp
z?Uz54f}poNt|(tZ+}J>BEXY_@fBw453{gPHv<IMn4?i#qKn|3Z{N@fiI&!{+$*qoe
z0aalR5wQ8|*S!!Ja*#bAXnW*mUI!PjY$LFb26#F<pn-7_*+zElwPRy5^>zR!BOfvb
zgocKKi#8EL5JE?$t1Wm?(h;%gEoVAxy;&V40l50(5YVU?4D^zKc_6vE9bF8AR<#%g
zanJP1!#{HKdyVitIof>dX03AtkmG+8O+~c^I4JGS7N@#_!39qTe&HoDR0~T^7Ip#l
zH*0yV#FC!P4Z`jGAjF}zA`YnJS3?5t+S<NXo4jzTa$`*}J2kZy0wP>F$yr53rB>>A
z^vjp)V~;bS{P`i$-PYF^qZZB~$`7&Fnx0F@Tu_u9Q@T-U{r1676G{rGAhJ!bDN9le
z&vM!E?A95Y6BwMdA&o%Xe*0O@Qetp&Vzu`Y2#~nt09+tqzZ_bWPDFBjX^a*ZhSmir
z3}ne3>Qc$VZybwbxYT1oH-P%=8a%36HmzK^Mx}##mcVDIe7cy6HDq$bL+whhbME_2
zfgR@lPH`v=J-#pgwiH!ZW)aQv@}A+keTg7$^mgsd)s*2+PqJ@NW4<3c*FG)&>6j8)
zF$(B`Qs^mxFV8+xWed<zb=tbdEZG&S)|vIMc*f#!zGY*w<Wr?Ict+sS)rGoeGToGB
zT?Vd$w=V1qwwGPlL3P+SxLhqh1k8Il@|dz!%sz~$Z`|(KAleBv130C4fJRGGc;Pav
ziuKe~u$3|QY<MXOS^In4h@%K}sRRZ>HhhG*6~w)`zeW8*;J<u}(hsQLo-6%eZcNO}
z%R|%;<SmjZ4fGWr*q?~Nv9_^MX-YHz&wIRXKznJ0zpVKWc=s$VxiJHhV6<@xVxBjv
zA8-w#>Ic4GK+ov5Nfm_9%{0~jJ?2*<H%4;uy(J{)B2OkdD@>ldgF$Luq8C4AmHvAw
z1@p2%SKBr&^s&BTXqr!HA5=UCOt0vlJdn{UrBN0;I_H7D!<=_37PuXi+l3=86F1hM
zU=3&D7t&Df4YgY;B^9i0CuXo;+i-5L`mCEebz7oxvaQ`%Kd7=F6!()rh@Lf9rPmHF
z>GqA^Kt0PUnMf-_7Ge--1BG!b^`GbsX0Ni^iR@*>?=!IcJa|*z;(PSovA13>VE+M1
z;vk~n6%^<qil&<6o2CM&b02}F!p<fVHP<m{h(ZO$suJ;fknwH*_$C{{2H!%eo5Ng#
zcxTCO^fJH9G@-vzco*xxq=W7M(h&Xs@wKo{BSx=-?KRNQzL*cSO?2TlXg~+B1AnR$
z42_oX>umZEBNo_JBppDM9rUFVV<erF<KjUhkMUXT=G#EMWQb21LJH5D`psQp$ikC&
z3wkqh?tTBH2kjDN;JO#`m;nZ=m$xsJZhb0SDkq0R6M-^*vsy3Y=bjyKtQREBqh^tx
zeehaN3<i9|79j6dfq#7H@g*j(FTi*B?4b?p@9z^rJv9TQjXbxp>#ol%)<4Ae78W{-
zD;?gu^_R~_p2$``xbXFG(ZlB<%?}uz{qCRKdU8DEo<Hrx(5+t-e$l#j@z?N^*Q0*>
zeD>ApeXOdVMtARIyuR(Xy<57aV+Ur);n%Vrkxs{E^%f5H#y81pt?FpY&ubQzO!Sg{
zCXLAk<b3eWo&{2O7_ouC9c<msblSfHgF&q~9V7H*)XMm>bpQ+>sYOOWKO2E!R%i}-
zIpsx@_wlr}^>sUNG&K$VMBOGXlJs}52+a8vf&;WZdjq%%xNl_bn)E5JsHiAf0}VrP
z(vki;ew|T9GKi)|Mkas-99F<9>!YB6T!53ArY8>s)x*_%DLI5*>lYO1@j)6yh@qcr
zD|5m1AVf7C<u$__yXs?UVCqRJ@&<Lw!k7uY_yVy`=9?@CcER<a=$oMiLv-Y8;OQf)
zfB3}2#6pLubgnq>5Hha+^FAjUvRh<ZlU0KgE(KJB1$vm25+8;+dgXwrG?*2{^){gC
zAtX@LiPHF7<mi9g!%=sr;D(`rC<NTj{kV<e+S-)X_;u&|D{hw1C<xL#xZ6;B+NA6~
zI-TvOTJQY}w(8~fOj*R|Kv%?N$OlspnT-7l7Zw&M(SvKpd3ohP{)tMYb31-P+7W)@
zyu9Fznf+cVUflS{c5b~iEHk=W4a(X0MEchC8+fwv+W@ddXTVqv_#`n{h`(D5y@r8i
z3`>pLlb}|_<c!>!?y#kA-LHc$Hs5>rx)1L+V`<OA<mBWpn-Jx7(i9^Zh_c{%WXY=6
zqm$GZ3_Q<or$^w2zuzj)&h*hUP^g+~lIPLZHn#i>E)YtGA(ja3T{>$$KrRhD-F(!m
zk=(zQA={pV=ff=2S<&A!2>qfR|NQG*_2#`f$A9w$-=G;_j1eJvcky9%S&olX@JM0L
zT&_f^0Db@lLjg~nf?Pb=u@}-GkhLPWKR@oe6K&^tgC6=X5ZZ=Majahlug11A;3{$I
zuJncaaD4vcx9K`?wZ|+7(HCs|cUYA$>6z#M{BykfXAb&;_2XeF^I;u_ptmImsq=B(
zKWkAll(_q0LtUiS-H4=PO^xfy`(_(KLX!hF5h=?iLH+c#-OKlzJ6_0`1Ihc50=ldO
z*AI-_s~EQ*+Uw%tqK`wAEQ6mfoE5qq-M<ugWiKS5i-21tgFxRY7YO*3OC87oz>3Ef
zkFb6hLT|e8=r%X{iG(5<Xg|tu+q}DtTA6QLa^CI^lJQNJ<zDE84D0G}gD55$nN)at
zbd*A0G6Tc64S0JTG?)-az!@Pvxp}p-xU<aesEM!$9PzMuK)eeB)2F~BmcCRM6tpbM
zD}h>+r3>BQMQ24o3T;}ttSAS@{F+x6@52_gbEHDQjmYF?&p7`LxP-qNK#91*_wTFN
z2+Ksl0cak%ZM+X%&xOl%-a+&y$Ka_rdej{m^)uWycN-gA6l$CM=bx`Nqqi_T{zuz+
z;$O|=kNzU|j`7b0WW>Uwg5p1?y%!o*<s09<oNDjvR0K|<xPDv{=yL@HEp2V$<0F^q
zjP~fKrKUEw?$p%PWdmS5B6NSZD43G{7`N6LZ)3Lx`WtjrNBl+R%yPM)K(x#1^preC
z=2jf>AMSvdQ#_D<=Ki)l6NR$IUNa3Nj<iL~cTiox-?EN3Qcm5Up#EI(K0X!$XgYI1
z44yTzQ@qd5w_8~Bk^N=|1T7dd9P!O58Ra{mT^YCwqfzVe)Xj~J!JsxR(9bNg0^`!s
z()hRefo_KE|7Ueu8WLdjHs=B;sB7!$Dgtm+P=JqKDc52I;wT8`ZDnUS-Av^2xdf-a
zt*s6EF90ceooC>+fO9k=^hX285iWa7Z$SyLYNrl1J9v5vlU|xjSSz@Ak^zA{IW_g=
zM~tR%`GSZYJjdrE=3*Y2Eg*Cwl^=917D7Rj9QD|_#A_0{2`;!tSqAxOeIs8lX~X*Z
z73Sq>sta6z-7fNNdVKtA>rM?_-9nQO=_!%7rt>un4Wpy;c51*&ce_LRL!EBWPtZ8&
zw!`*{jZOOCQI<Ok6YaEu6dSTRZ{pzk?jJ1ZqPk79kKBmR=I(gf-1B04nbTNff8qiN
zW(Sc~p$~E}@)jds$=9UU^ppIGaH{uGhd&b+2fZa4*?Ezr9>j6)Po~TCy<L)E%Lw7P
zSPu1OfNl>qB`yLqYt-v+rjr|W9J5yxknThri3bbdhyeZI9~QA-cJGXJTY~Ne0dqe3
zzO*{!^`Ue|GqGV)YJN9T$32@RO`btL|7UgR$oFv+J<q@sFnr$#;dK~FiExBrmls^{
z^y}$*4;goLb@i@|&E%phlE9CKN$~zN;dH0meVdjRlno{r3bfH&(bn$Xgf3UF!0Ew(
zE&Gb1V$JbR7;TUPXSq5MbJPsl1jB$P%c!Sc<y&`Hy7=|^l)Qn>%Qil9f_`lm{&}3>
zNcx9Dk2!LZVla@Dp#1fmG^7VMt=AD@-;9yh01Vp5Jb48kF{mR7APA#_1vXlGLn`W3
zeYW`nv@#-oEklkQBvby=Tb`HaRNfg6@N9W)Or8gIR3YEXX>ITwz%Q2cW18pt0Ma8<
z=0b%S7-tYM2SqRHu^dLtJD?fC77kVSnb3r^P^<2ndtikAUai-#gfJ(82<AECwWS>=
zV)jC-sas-ds#W;{l$*oy>%;OxUV~H<1%*Q(pow_={Bcmm{ayzj{RzO^Q|=al;{#0$
z;N^w(Nml4M?BDj?UIE>tH&{pn!v<ha2O{IV{$DUK2Z9xDA>EV(53L?QKaV&@8*Q|x
z2nz}|y%ZJr=i`H81VALH9>P8KPUj$`%91`Xs6Z}It(W-*Csj~rY;L82O=Dqc9~{hF
zA$rh$WoE%WI|I;&I0DDc&XvZe5_JHNdNck8y4=8tM;t-6r)Xnb|Mv9EQn0DPujnX`
z4^-6LSL6+?P(-k><Tbk>Y=TZg>EC{OKQgvLx)omcnrKU<BryA&MBV1}K1`%!Beb1-
z?ZrN@sN8iZN50?1F7xn=zmT(D`<pJ3IOuEcV7dxw6_#24b|39fduJNzDXf6g75NW5
z6A9@xFc1(Y>c&9U*yCz3Ma>HXa8Rl*G0Pr6hgC}#f6RuS7~bmfscJJr<Gee<2gD$j
zoSPs2MBp4;H3y}f?@ocosJX38tL`sI)a+@|Wef2ho!QZ@U(p(T)=)~mi@soZHLra3
zPd8}9AdWC@-FCZxo>LicDB*XSc!5KLBN4SsfElkL3kSp$YbOqDS$ThZ4ya|EI09$Z
zB5x9HU*ZVJwtoko<se@N)guv2taKf4i>VRBh|<4*gdDW<5JxWF-v*D;uAn=)XbqO#
z@^ARnxXhh0=w_0?(m&={EL2Fphnuai!vdJN42(?5Js0kDVr^^$gqXQyB>uj+K5pkR
zG6K))`kl^=deikAM!wK~g#X(vSqeNFc2dX`{PNMp8{i-m62d{Z%ICiWZ7>AB&CU)F
zq?cDnECf;BIExCcxM%E(zWWCTzD-Sigr4c&elQjeMjv!C6LC103KD|qePqF|0nHVI
zY+k721i6e*hg0yRF$k0*_r87jPkRTbtsykxMA(O<g25oW7c!8Em8`=dVFhD??I~sY
z@qDZIBK({2<REnL55ph>J*?UQ&bbPsNC%?O40b2Aj{c-!+pvEu?EtZT2vBJ#=*+0;
zeF!Xks2K%Vk6^Gxy^+urroXyhx5dvb6XNbcNypnEha_{wE4a{KTp(!Vp4vo(Ck6kK
zIsX|a{{cJxL2>_=xa8k2pl6t4|H5@h6LMqJhn$rIb1(p(v(dZkAwHq%3S6pULf|lQ
z#M8s+<Kmzl?qgs;gf{W!ZKmX@sneG>oh)y3MHsQrtpwK0>IXaa(=#Vjzo&$Xe?&Oq
z>BmsxEX)4cFfc5m7MHapPHfrrYHRuyQf|7`LH}akUv8tT{}_67o#otiY!q;a!pH!I
z&yIx#w8@4A6$R+DS$F&T>Y_!K|7k#RlUBd#QMp6W0RvR3p}nv~XzBp)3SI>E^dq|_
z7o9)&F`{neYU|IxLxm$G{uf%+Q(ejMvTYRy^jakL_6)opu+xlc=X`ucwsegp9L^mA
zM|J_&dJ*Ha^Wi5QtiZSFPpHAGyu7@=6NWc54|9^>ge;?`QSRycEu7M>Q=a0MwCiB9
zIi&p@(5HAW%N2D2b*Q`w3Ai|L?C3#JQCxp>zdth%H=L$kI9ar#M}0Kq;@!%1Z>6QD
zFPulnEiIiWb7~X2?b3|Uc5UhCC}{8X9K(NXd80B6e$$g~?6%clmK{^r$xuEXWoZ8h
zjZf*bc((&}FnUj!^9Z;BCdjz-q4yzb!$`_T_!5e;)+CxRG!7{Cwo0=KoAe3G^BQVv
zv)tbfy~Tlmxb+Hb^<M}irofe$fBOKud~;6^2Y9<rI$fUEf=o*pc0*Q3?R1^UVqVWQ
z;3t+TrBJF>15B<ry6!Q5yKPH3w8s=1c76i9#+TuL8nrjpEQ!wxLSx%xp)6t?Hw|%t
zFnR!A8k2i(Bg%iKOtGJ^;KRkm^&-X%V0D4#v3GujyDkMV^^e<tvyn_u#qa7r58V!n
zR1=U{eK*d%{bh1dLtUV<#OWN#%Hpf$jpqL0yc15f&C)SW{NdE+qN|fluL$e7lxlKI
zo#xC^oD%hav(bR>U#lmqsZa)O#wt+uM${NFJKmw1odRtzgw9Diko#;v{G|+I6K7CZ
zoE;rQ4{>h~z}|)p2VS$j>oaHRKf^Ora&xxV|8rOWHRDU+FS_vGFZlOD!Its+|LcCx
zaw*<*70riBON$#BlI@QhxUQ|;F6@;*v*E;ABR!Im5(#Z~nS~iCq*nS7cj`BfuBeqv
z`8nT7eU580#ciW4Y)Fgx;&tL22}@w9)G{^YfmklvqX;GPm39r~Ui(tJw$4s`X-IBb
zR#q4qU(jdqIH9M<KsNKt)@{230n<J!-F+6>HbDCu5lT7@WI&zqmS_+^zh({|9jWNP
zH3zkz5vSJkKeldPq{fXp7W-1qxkEDmyv*<wWDE6kCzXYPMsjQ<DVYFimJB2Xn#2{p
zm;=q2A!!NEppm*+xN_M@NO$em79c5L(hDLf>R_B6Xsj3;-&-)<<r#{qAY>k#01L)u
zP{qh<8ya##y$Hd$rKLp}x1o@+QhsT$07wl;Co8PkgJ5|4Wc~RQ(B>uWnyVGyp!Dr+
z1zHjcDm3*5(Eo@~%IQABn*?ccbKD(`XC`3dI6l@7PQlCpoe#aL5O-xOp4i*jHN53e
zP9<zRJ{k6&G&MC<C?BAF16Y#X?hEgKzAr3<TnmLX|F$w(amuF;71^aVmOwz<61|-u
zAMeDkjawfkmmKAyPBvW_c<euOC?0v1Gaj6Vn&Vodr0mN1=%#CQIQp-|H2=nz^c3_@
zdhcHdAOF47|Ei^aJK@OoI3E~`Dp1^qkj#U+r>=x@usl7k8ie{gfFv!h-^3)>F8^8v
zJt9WXa4Ct*&ucxvdT;{EXxj%vanN8i1vta(n;hI{HR84AchGJr0V-4y%!dqvMy(=J
za`X^l)xfeXb|vH>Mz~_x4D~yW2<=C=c=#M(oB?QxM(ipXw?Q37st^=@5MdDcUIZrU
zqtFA5Jo_*;?6g}dePLd_4fHDnXEPdWfWasNO}#A}p>JrFhUuE%JSaEdL@&IMs-^Iu
z6lxGOB|$-9H;-Idy$dptU@(ZB^US0Z4t_V%0{xc2j0;c|S#n_o@RP{$07Mp$Mhga;
zgI3>Y8P9CVeFxoJfy-Wjy^#>z6%-Uea00)$?fKur0#Ps7CWc4zte(SgCgwC_&8<Fz
z-#*??0z}(q@k|@Stu5H{f!yW>Zvt_Io-7#tQ!VkSMAq)^-IFGT^WyF8EDlx%&D(Y#
zMCl^BWHcEIz7l6Uja%E84s~I@N*0%_gz%Gv^7oPO*2nkm*AgdhFyKeM+n4*eY3!Wj
z7yw)Qg#s1_mVVUDl2gms=OQd5EiEnXk+TAw!M5kW*;!eUC=acHqVWa~`gF70$#Mwa
zzBtW@`jJ&y)2o(otC8l`I!$eD49~kB{_R}O8c1q@J5WW{d10d@qM#7L_<*HZQ+oQn
zW}&APaCqGPem6WJMP}OEA1B~$_5eH|+2dmb<w9Xt6AY(OQl}OH-E#b?lNtfY+ptAF
zX=bc0$UH&y(WMTEVkb4UfB0i7+7ZIt>x>LH&}ajE=`Ux+075(BFI0nEROE<fu>Azx
z7l*NL&m6rH0tD+7NV%&;LBF|g-@|bLgMq1u)mJ+8(d^2M9rwlYY4X66ar)Rn_i+x)
zEXjPE>$r#g>@kocV5wFmuA)4IEdN5h9U)<+;L`s`)iV3-BPM5*`PP*iZ?dzpgbKRv
zL<a_<ULVMcXLS|S_Z&R)3ThVUw^IPjkKP4hZm_1^X~Tjq2aH*6Le+B}@+}4f4R0n`
zh8<QMKyo^~`wCnu7uXoTz~b4ERbf69MPK%{0LY6VitzHHLAua-a$_`TJk=%TEKsb1
zYQ=RNfJ3fpYUXM8>Qq@WbXI&Hgb{(ECU?uBB@gs<Ah?$PxoI(sWY~YfI8{>^rGcMB
zvu|NaEU-T&>2#OXt7rVY-#{+eY&}Iyed6vuK*^ydFks-11RQEf&!;EXXUdnMM!~eE
zsE30n!Yn(l0Yp-sL{m4kY|~o_q0T!f@9Pb7%rd@2(m96PNxa;-tU03>ZO}XycBE4w
z^65@vO!2@ZYEOxA>Cm@Gqm%oGy&x7`Q9!L&Sug+q4Q-Wyfq)c{rK=Ecgjxb&HcjP|
zrm_0JtY~-m`M-q*9z1*dY7ER<p!=OlH&xn*wC8_SN~@gzR}w{tK}iLRRv-jJBud4&
z_E@2gv`hZG9|a4QyhYLun&|RWP3jacFACt6F%DPIwljftYcy6DM0uDqN`cme612Hc
zkNz6;?ZL2NWTJwG)jA`LtP6C>*Pvce3<eeW$drV@V+l;V7y@M*22=@qf8Uh@F&`nw
z2^dRr5w!<{7Y<qstKQwJq<;uZ+^Ruizc!r~ZSC!-h@U_MuF!FS(1O}jM}z{n4ImCv
z2ApAQg+fkALDz*Q8KPYPEF(}K5+lzv>x`}sLc>;}ry(O&9P~YI+6RGVm;%ZL&McG^
zfRH)mCONMG;2zqQ)0VNas-_Tzb5aIC%>qnHj03Z^j=I1HI9kS2BuEPL@3)|l$;7xU
zqv9Lz7ifyGnR;(;@51{n^hOS7gjKA1NtKaR9Yhm7P<PI5j`LUL1ulR)nNn72-OewY
z31Pa8dfxCa?)pFYr2ne&MkUB$A2cokonnaCdNVgZU-0qqIRukH;dZ^3XV2<hVuhij
zrDp2jq9UU|0fA#OMFMpX38Gz)HiKljpu6M+FixnqOiMeHT_p#G-9{F3<lckceO52Y
zyI)_ScOo?ay+lC)TD#CUPy$A!!fuF6eQzHB0S3u3IWTe#XpaJ@2Zh*ZF6t`GlsQmm
zOjpqu`Ykub-~Ua~*ghiUHwA+yj-fUr0(5<&F&QE-8TL6eA0LA5X~PBQE?{(3qE0`8
zp=C!#8)G?91NM1w@tUq2^Wi^t33b^DqHZ`D7?w(bHfBkniw=Qq8`PYnSo5RysW}K_
z1LFmGmQ7(WzsT$<l>ivP9AL=Q;)W()ZONd`QYzL*w?now@BI7^qich0Pn`s5tw_GB
z+OH0Cf%ZahbbzT9&q`nWDl)g|LZO0Yd?F_Y8r>?On-zjwB}n~8V>f|a$?4<!$(&oX
z%>ZPKKG0o6+-CZaq=6JN5r?5FbZ@)4q~2F;Y|luCKGJp2$mkZ9aNL?Xnx=tRtskGC
zIKcC$hR$wQkgtvHCwo$H_d;xAji8cwR{C4+9GG*6FzRtX@K>B=Vz6eYlQ<E2mkg;f
zV1z<rb2z<yz#EIY_3fQYk!S|csIb<D2d1Yxz?f85c4b*Kk`_b|tRof828Ugpt(v7-
ztK5wBne0_=c9K=8?1&2{MSFT?z1aW;7ERnEBG`t(pml-P@TlUn^~=mHoe)e=1AiH`
zn{yhE!6<9w(amQ|H*@lI+@p2!0G+5u(j=#`CCoj!ZfrMYh(#UA!=P*QjZZ>JOUcCg
z*xditpRc*`{b09LqZtdD>VdBG3KW8<BMLQyBRRYb@(LQvhng4<>KZv*j)AtR{+|De
z-fghQ*N>oq2o&hMK654P5IbTL0TdvO5r&cyNARZH$Y+RTGY8O??49M&oCDN@-k(-1
ze^MI+WHP^YQ)f$Fg`G_kab8tF)`ldH#)TvNiY7aN6QaNo-zrSHxC;4*9U)UR1Pzca
z8<;WNv~+cA&_q&5KOv^;Kk*cp9wZMmGaJyW0&c}?@o`35`=Qs5KHdp7z_5zx>WxFr
z)=c0uW^JVZ8v)<`xDK2F@(F-ORy5Zrtzsm*aThgrp&<+?+@U!DiOI>wk-G&Z{)9qv
zrWD$wXq+~E<}Fn9eT{!D@94M8!)T-n;LR#%)n1o?><GA04zLTP+|xoZw+hXJ1-w)P
zmZ{SGL5JaLBAQx==HCsWnZIy<w#}}+wt1?^bw?knj!*`48AB`ub^u}4HPm_zu9M_w
z`=GF}u+W*5w7Oe8kvA4#ia^$l1#dyw$=-rRICsz5i=)<2ymf%dfkZTH9-WiodJ=yA
z)me0mAW6Wa&?;mWg4StJt<8X3M-QtSBsflt&6SWAH`{5^uLwS%!8ZyDNX-oe&G9@S
z-o4O)19XWQNY%j*?;6JYO<ZAu2C*$w(;WDbFaW8DhA=kfLbxy6XW9k`9u^q95d_kq
zUHP<;^a4-VlgwfJir;}I7`pl=OqTP!-w7OW(9t>A2mLT|>WkOFTwI`@CYpO*Z=`Ba
z*NycN2tP15{Gr1sYdRXK)2J;E$++dKKG|T9MQR)L-g%Ti;h*Q0y=n@6Yrubjfd~rY
zC(-;L-i}{ZUz10pu~1EbS>RLPlma9~WEO*j41+-Wdphzpmyo-N0#0XsRzU-;nHwcU
zkz9u@19ZJ)vsR(p+)%U;)`QU=^7979(YZ5+68mG%y(b7*!p@et;T^u!u&KC!490|D
zaMtk(!I<^swiG!QaOirhEo9@S^T``v9I8f6J1}X50E{r9R;<NxYxx6s8?Fft59}KE
zT88=WkmF$jQg-J=;(2I*?*sQH26LtV#B0d568ui!>mzj(WW|<Pq9+Zes~UJz-Du+D
zFq(m|FCoSJ_OLf=!tZ79A%H#M|5)eT@qG0MK45P4%*;~tfN;QTrm81;^MhY#mK%ik
zYLLD6BNO;;5KPf1n&r=ma{Iu|XiDI^c)ihg($Hi6O4Gvb)i6QX&Kn#MFGX<cYenE9
zr(3}Cn~rgxyK@cA4FWDb@1q!+>E%uK8k}5Q>VeB2Mh<d(c0L%KI>9`0P}<d2<aweS
z>7s=s8qkey8F?)$)<%SDV7}W792(T9gvP<qXYoU19@5(L+6E@}Ae91xLGmQbVXA2m
zA3TIo7j$Q_HjQy|HmH*MVfH^f>uTgP1+t5RMu+srg?)iXd=2IwqLLT+qro?|l>#$?
zq<MMi_X}PqZZM7a56N3c4RMU~NL~?B|6q6ohN81#aLn!{xr+=ynuWso%as#-2fYqx
zTop{AK=Zs*!ET{x&jv;tG)EgvCb<HgXQnH4x{1K;z0O~}JTg&O5vh)yH)?u?9d9g-
znt}rW<Ns-cMc~L8h7l-2+qS~!ryv;KS_2LdagU?G<`r1W6#{?{tyn~X4(tv?fZxU!
zeQW)>wW81zHF_U28nS5_>(b$w4YL8NVZQPK$e{~Hf9`w-Rd%4>ISIN;AHrD4vH_Gq
z^!r9rUC<<GG??Z^+7tp`1R@wZxuNWl$aP$v{Z2tMl9#Wq3Xb%oQX$II|A_=N%0*3f
zp=}vPhaZCR?r!um1D;fvqyS?q&A}FdaH;Ljf!qU~7cgN@X7<hM1i}&ocFmuea~XUL
z`^I9II~2RaXtXPuM~$YmK&$wKV>t|_f*$IMz33o(yuTgAKRCzFQ5uG+9Tc=!lm@Kt
zIW%O%WL^Fw!ExSjurB?XZ0EUg>4JG96<6eRLX+B&EruwcyoX0l26f87{N6z1C200V
zlg?o_aAQUmY+NC3=thy4e&1S9v@Q3|_DB*$`{|#pY6y)$cZ&#+xCw(SH>ca~z=T;f
zbPXattMhb50nn~awh0#)TFFCbx(FB?h=32xpiRyqs|dGRqXG8lhZKY^khOt$Uj;&+
z5fBZil0sVp4l?p-R>4DL50_iLi`Ef}s9{u4DLp+-{QTso__DKQN9Tn}#}HddM(jg9
z>W`*;!sn9Q8O|glT%-`d2!I?l5ct@U2MUb_=^rmK_Su~Ut?P8NB`VNhCQoP$4^9RR
zQTG+M^2IK}l4aAEjI+cki;oljxdv=7j}jX7L&s`J*oAOm+ED_*d<gy12xtPo11j_L
zqt=y~`C9=Ba-v}cfWFQ{%R(*+vyhk-K}ME=fA)cLpJ(kbH*SrBCfk`qg+3yL=hl<{
zngH|@qIr-dC^#D&hjd^G!Iy~XN9LnCZEJ$4Sydo#Jkq>o4L)C>cZuFZ1T*rhkA}<a
zLwi(Q`X(`7a}l~fhG7SXz@+apC?TNm0fmJuM71~+lFa@BY>Uc*umvgIPj}`lW`Frl
zv_nvxh$o_}&@hK^nV(nDKZfG~|K5oGLRnm80JE_F4V$s+Bz4a`nA0QvY*IGM@~d>N
zOlR&$hff!3rLxUy5c3&I;DkO=bC}L{9w3QK&BYhv7e}mMS_B&4!^?|C8rPV3O|xvK
zS~RW-234$|lAC+cga`>V!`LD#Dvm?q-c5&<VV(_l{3Lz&Wnds`>R7gttV2W_8kB?3
z4tU5H=_Yy96Q*iE+><&F7zZX5IFv87c3dMq{<Y@wDEmjlBmTSDq3pw!FLYcP8vr;Y
z4p|Q3F}b~mcYVEjwV&)uPc~>aa!r!5A|N^B!UnqPL=t~%vmvdcup%jj>>zu;g`Zd)
z^}kxX`nQ<#H9XdJ?6Fo|cAd>`Z`YDtv~q~j3zb?7DkZ1asZcDvOqyC!Qw|56aHXlF
zx@tm1dKsZ;Ou3>oMRl;fF-6<^)S%3aOwFA88TLQ$Ti4X}?K|J^=kq-GbARsVewLcU
z%(k6fJ=Ft@c`5*I?F24BL(n%PJ@|B;)qy9CU#9d;Ur)N(#6-$OmR<>Ai$pk%z_wWL
z<m87Ygynd<;R$RD7u_Yz<kLSVr2iEwmL*T7nIE@dFQ`rIC@Mu4jvn4rAzP_WV+Jy$
z6xuUzzH<?$9KF%k_X31q5=U|^y*j#aFr-C|azC4N7ib42$rb<}V45UYKB0cBiW_t^
zP9ljtd3S^goY}TPVM`y@*Uda=`hZBl@^T9wU*BES(g5%tDu9V32T%*bEZHBOt=wJY
z@YiIgncT8o53e)fbmCx!F@N|p5@NS|lk#@1!%*6=U*lPEUnG@)wfHakRJD`U#C{CZ
zsRiiLqgJW;^OIbCx{(SkCsq!*+Xe=4RHki<veZtxOCEO4$;$pJtgWhCHW>c|dr1$6
z_Z+H@NvqKg^lRx=02@k?d`RCyspgEPi6HGG4Mz`Ij7=hTFI5C$&A&z8pDn_RNNjgF
zZTQEK?7{=v;MzF<WicT)(&>>=ExBRn+YXV&OG_v{$g19=Jc}ZYtc$eo0FuH7f7A0j
zBi5I~qixY~?{sSi#pSe0>;<KEFKo5GWZhO4O<o%YRx8$`-QXb<{stIh#7}ZfjmJL1
zBZRjXn>qw3yUq@eDvP^U-<k4&hDdm7?Y$r!K4-<*{Zn`H>>-CfZ<WEnJp;I_z^py#
zGcF;Sb7EpU*yK}P#SAiXj2p1&{x3<*wb%0xu(93`DSYh!YpXvct$|^Lu(m#FNlqCu
zXAg`WLI^j}2nZ-<L!63Y?5M(kw{&$af9H}u$5wR;VA7J<xJWy5#B~7Ix3I*n1sQje
z-9n}`69arI6qd(NzBe=Gy`z*#5-ihziA}rZMXI_V&=BZ{x8OTj=L2$LQlpTqTG=?3
zJpKIvS@(BWFWq!mztHr)jx;fdxydT&$clip5|bl&oP6oAt^Ygel;pHv$Y62sxw%p9
z0Ul}I;)YFoQx^VazVz1p2FJ&L>{C_$-FRiR1uHyR73VKe%A|*6-J|mN5wC^PJ2Lp2
z1mW#HU*k~-k7A^iI|!P*$tk@{Ai$%19@q9(|G@sUl{-3guEMgb?(53BuDI5*Zqubp
zox$}&OL&enJLG)sf?)@M!hK*mBztuAIx>sTr@px=op-dy!_Cdjt8O3aJ!(bWQRj{L
z-UUjN;24v4t)#NBaX5ec)V$^M@$kf`7sf!?=;eCi+>(dZ(_VlH7v8ARy}AS`f|(di
z5PX>2&yCMus*O^iDWQM)7>fBE3gU>k-6f^51x<1Qx7}#(&qUV$pnT2G4zFBH#~n1H
z<JJ8W8fiqujhN(-J3L^D@)ENnP2+e=1AtFmL)Y;P%;4kLG1NAzV(qV$V5^bpyJTLt
zaTG0IsgQF!K9qMT>^4K(LR-2<jk!m@UKK_8`S}vL3!p-k#IwmVwEYY?o^sLV$A}LU
z{EVievot&Jp7vFi|GcZK>!ALPp6dnt+9=o9aqrD-9d~0mXrjFcy4{wxSH?4eTm(Xv
zPm>%r?;9LC<?yysu)~pBn?kWkGs1vCQ*g*IE#9)sQfVL3R^kjL`tOa)LqqWEFQ&MI
zn7`2(me(ab@R~%THZN4S4-ETZA^XGVB?EN&NR+#m=Ubx=PSptk|7u}j0~YN#%qR;$
zg5!H}NS#U4#rIZ`y+#`OPEYC8P}R6X{V#!VmAASBm_9xR(oJ_y&kR7Y0_Zt$Ky8JV
zAPzq52Om_A-TdND_FeV0w_OdlqwR9m^w$;L9vR)UT(WJ0UC59%SEX>qx<mdER?ZF7
zeJ5>OX1@DTJ^D%bc=<u7OW^R+fI^Lg`K-0}i6s>UN_!l@*W*^rQ8|#mF9vKeHR>r2
zyn*&$E2~)do=UcRc=RHj*Tc)`97cMqMgvPnS@33ZF9Z9x2(Z7g<-FqoVbJl|0+F)0
zqf~NCS)XfuRNDZVx6%8rA3jNLl0GTS@-}|15AsrrFft}MIC!zC>1Ggzo{%@&>%OTj
zp>r#R9+nmWz|b(XL4yvDKH48Fa$ks#!&sjvJ;OaSw315uluu`>a~BgGt}2Gr%;ln@
zUvTXStZ1GIv{>~3h?xxy4H#ecGd4*xlGBsU&PrDIX?@Fn^xiapD|mu+LRA};TozD;
zHjWqjiz*|kP+m$}E5KM$F2d{vF-~r_`TOT0Mu6lp69ZJaUzy;etRO?$d{7?g>FJA?
zEo;X40uL^8<|IA_S(uI9z~bo|cLrmwX$Ynj3c7vZ`qzXRbtW`1s|-*V{-ogrVW4Yz
z$Sn`eZC6W6o58D*0jgoAA?*4l5FI%1j2w*^!AvW<l~fZxSK;k~(<xRfxnLIH20(|6
z`rilroYf_Y)l;-#xzlVbc!#qqy1{IZ0fO9oK7(<%NBa!d)PO?2)fi#PBz#LJ6Ep>j
z>Vur)Lgth9_H&fdOZU;t5p$G~lH)?nv)0zLXmP`j48}VH;)xIa2Z;O9g$wfmCK~B~
zL(Wn2%}mjuDXy<As761K_q3Y9a*X59vmbx53FwWSa{<XLm}3Za{V1<GFIqz#9SP9#
z4+TljQ3&CnDU^xqqsF%fjOoYQ6oYcDkP2bogkS!`bl<)`9r|CBY)iHa{_xcyasx&=
zamyxl9^>%TiG|RewX?&7PWK(YG)%*UrU4`=$$1Gi6k^oeErAATeE_X@FV0KAn3x}Y
z^U@@txkiM;f^r)*`|NM?P?nQTrimDp)(Z3pCUDo#!UETf73Nv8B{;aRS~iPuPc8mh
z`!K#VIv7~+Dx3!=+d=^sRORT(7tTELhC*E%!RrNEI2bXzTBDBr@x>Y#IIlo{)REi4
zjM?4CC(Fe9?!o;hnssr#4H$K4pZw3r-g=hNbBp(e2oPq^)6>#=QIt6Iz?teAmh2eq
zymf4J=C?l~1m`<WH8wVyBPy6Mu@Hb_d58k5fdt%eY-i(#My^^{?KN8}*xk5h<qS5@
z!^7jI%DS(wkIBPp(`kDHdj!4m3Nv|&8&J15B#tP}E6GU#Wo0u$$2K>&l%%AjExEQa
z!f^&eknk;*bjyOt=N)B+IoqGl!NjYb>?RKS^n+n@I)NAdq^0EysD=SNXjkMCDl&*h
zjX~J5xfsM?R9eyY9a%siWk)Q?*4U{-*aF`J)f4|ms3Y4V3@qq2o(WB6!Xi<8K;LE*
zn^s@@2C`tNQPAKDV4bFxYo4W8qu(h4P;k0%xwyXZ$Lr%u64i@+6F0`Bemfm`05)P5
z5a#bkUjZD~C}32jEZWLoBps(|qKfl~$JGKZDu4l0sbb{eOlVk55=x&6_ddN${to1Z
zMLnzQRL<EJeH8f-P*xy_kl_B9K#4({t_X67^Rq@_@Ai%xwH-H}u8EGu@ncJ>0qVR=
z*ul%tVPGO2>9}DYs~BOG^Vf1e=-5$bA_pyVw_<avxT=0AS=)s>r!fW<6c!J2i-5eB
z-F>r82jkv!<TmK_9LHfnZ{AUzeH9YQ90-T9a%jx8FP*^(BoCU<&_}>vk*ItNuwg0C
zT)DCli3pAcS>O-e$t1#-f}1y2Qdx#YL$g1r<epL~T}%B%?%v*+MCX!6aurxHx_#Ec
zXuLerg<&~UgW7I%hGM4qN1fv5Paa4SpXH*@G}8pdyS~x+qE>4##{AXAsbpQ?k^cjp
C4=$nr

diff --git a/reference/plot.html b/reference/plot.html
index a4d123f6..774f5376 100644
--- a/reference/plot.html
+++ b/reference/plot.html
@@ -12,7 +12,7 @@ Especially the scale_*_mic() functions are relevant wrappers to plot MIC values
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/proportion.html b/reference/proportion.html
index 51dd7af3..dacc45fa 100644
--- a/reference/proportion.html
+++ b/reference/proportion.html
@@ -12,7 +12,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -287,28 +287,28 @@ resistance() should be used to calculate resistance, susceptibility() should be
     
 
 <p>When using more than one variable for <code>...</code> (= combination therapy), use <code>only_all_tested</code> to only count isolates that are tested for all antibiotics/variables that you test them for. See this example for two antibiotics, Drug A and Drug B, about how <code>susceptibility()</code> works to calculate the %SI:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>                    only_all_tested <span class="ot">=</span> <span class="cn">FALSE</span>  only_all_tested <span class="ot">=</span> <span class="cn">TRUE</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a>                    <span class="sc">-----------------------</span>  <span class="sc">-----------------------</span></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a> Drug A    Drug B   include as  include as   include as  include as</span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>                    numerator   denominator  numerator   denominator</span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="sc">--------</span>  <span class="sc">--------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span></span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a> S or I    S or I       X            X            X            X</span>
-<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a>   R       S or I       X            X            X            X</span>
-<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>     S or I       X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a> S or I      R          X            X            X            X</span>
-<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a>   R         R          <span class="sc">-</span>            X            <span class="sc">-</span>            X</span>
-<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>       R          <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a> S or I     <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a>   R        <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a>  <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>      <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
-<span id="cb1-16"><a href="#cb1-16" aria-hidden="true" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>                    only_all_tested <span class="ot">=</span> <span class="cn">FALSE</span>  only_all_tested <span class="ot">=</span> <span class="cn">TRUE</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a>                    <span class="sc">-----------------------</span>  <span class="sc">-----------------------</span></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a> Drug A    Drug B   include as  include as   include as  include as</span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>                    numerator   denominator  numerator   denominator</span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="sc">--------</span>  <span class="sc">--------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span>  <span class="sc">----------</span>  <span class="sc">-----------</span></span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a> S or I    S or I       X            X            X            X</span>
+<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a>   R       S or I       X            X            X            X</span>
+<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>     S or I       X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a> S or I      R          X            X            X            X</span>
+<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a>   R         R          <span class="sc">-</span>            X            <span class="sc">-</span>            X</span>
+<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a>  <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>       R          <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-13"><a href="#cb1-13" tabindex="-1"></a> S or I     <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        X            X            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-14"><a href="#cb1-14" tabindex="-1"></a>   R        <span class="sc">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-15"><a href="#cb1-15" tabindex="-1"></a>  <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>      <span class="er">&lt;</span><span class="cn">NA</span><span class="sc">&gt;</span>        <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span>            <span class="sc">-</span></span>
+<span id="cb1-16"><a href="#cb1-16" tabindex="-1"></a><span class="sc">--------------------------------------------------------------------</span></span></code></pre><p></p></div>
 <p>Please note that, in combination therapies, for <code>only_all_tested = TRUE</code> applies that:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>    <span class="fu">count_S</span>()    <span class="sc">+</span>   <span class="fu">count_I</span>()    <span class="sc">+</span>   <span class="fu">count_R</span>()    <span class="ot">=</span> <span class="fu">count_all</span>()</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">proportion_S</span>() <span class="sc">+</span> <span class="fu">proportion_I</span>() <span class="sc">+</span> <span class="fu">proportion_R</span>() <span class="ot">=</span> <span class="dv">1</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>    <span class="fu">count_S</span>()    <span class="sc">+</span>   <span class="fu">count_I</span>()    <span class="sc">+</span>   <span class="fu">count_R</span>()    <span class="ot">=</span> <span class="fu">count_all</span>()</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>  <span class="fu">proportion_S</span>() <span class="sc">+</span> <span class="fu">proportion_I</span>() <span class="sc">+</span> <span class="fu">proportion_R</span>() <span class="ot">=</span> <span class="dv">1</span></span></code></pre><p></p></div>
 <p>and that, in combination therapies, for <code>only_all_tested = FALSE</code> applies that:</p>
-<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>    <span class="fu">count_S</span>()    <span class="sc">+</span>   <span class="fu">count_I</span>()    <span class="sc">+</span>   <span class="fu">count_R</span>()    <span class="sc">&gt;=</span> <span class="fu">count_all</span>()</span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">proportion_S</span>() <span class="sc">+</span> <span class="fu">proportion_I</span>() <span class="sc">+</span> <span class="fu">proportion_R</span>() <span class="sc">&gt;=</span> <span class="dv">1</span></span></code></pre><p></p></div>
+<p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>    <span class="fu">count_S</span>()    <span class="sc">+</span>   <span class="fu">count_I</span>()    <span class="sc">+</span>   <span class="fu">count_R</span>()    <span class="sc">&gt;=</span> <span class="fu">count_all</span>()</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>  <span class="fu">proportion_S</span>() <span class="sc">+</span> <span class="fu">proportion_I</span>() <span class="sc">+</span> <span class="fu">proportion_R</span>() <span class="sc">&gt;=</span> <span class="dv">1</span></span></code></pre><p></p></div>
 <p>Using <code>only_all_tested</code> has no impact when only using one antibiotic as input.</p>
     </div>
     <div class="section level2">
diff --git a/reference/random.html b/reference/random.html
index b4b70c45..739e91b5 100644
--- a/reference/random.html
+++ b/reference/random.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/resistance_predict-2.png b/reference/resistance_predict-2.png
index b7009a0a1dad7fcb82ad61aaaba37630b6379363..29c1ed2c15fe0afa3a0f8acfe23d3db9e9aefd2f 100644
GIT binary patch
literal 72824
zcmd?R30RJ8`!AZ=n-VV>iZVnr)1)*Y;wh9gk3yw6O`6M82vJgrQqnv~^NbM9njX!i
zdDN)6_V1$i`+sZgwbrrrajdoXfA8J#zDI^U&;8u@b)DyLI<LF(XHU}8GSSk|(9ly(
z9ao^CSz$**v+UyPmH3nTry)c5w(_Fv$>aEruPLc4SA6@+;*^>d4b65B^8XUAj$u6-
znjJKh<3|<kp7%G}J1JJrEeuawe(Qbf(TQ8TmM;;OUw(8S$Ldfw`Q>vvIYJeVoc27m
zB5&!v>P@~%FV#6bkEJZ-xN%|03PpL(FQIpQnXWG_<Y0Sro6SeBbAJBIwZUt9`%WLs
z=kuYC4u5I8`tyZVsrWUKfPk{+jt@Wa(MkQjG#VPWmm4;9lTY&d%gCLEck!3Y_b<&}
z{N=i^)k91F{QAhFUGLT`{_)X!|2uzpN6&BptIFleVY_zk9{<W7ygXC%i2Ob-E`j<p
z_(Qt<NCDF~$%z-D4Bi~JY`+uaI4EK>*r0ax>eWsWuLlq4t*cv>UB7ZNXt2_+=f>Q^
z34Q(Wi<d4jZrvJ{H#cB@J^t*e19VaY^=afC%<|@b9Z^|DLsPY6xt*@VKnk_thM?X;
zXlSVQ*FAoba={YM4(i>@o%>bKu}t*+N3*n;^mNrvpFZuhIz1#VS9hv1{LFY@^Q<(#
zL1`6(<m|d`j+qxpjT<*_Rtexyty6td#qZCpo_wn0nP6q`{22Sd_e3dsdwZ7VlTC%C
zrMAYe4jee}w$?<VaaG}(<A+DAgL6-B?qA?_naFD1FDa>$n3(7=+3Jx~*jJRQ^v$tP
zib1^HM#MaKN<YJLFrzDowsL+nc){B7r^MACw^U{ve%xg*p5@j^<(kMVx|n#SDchcd
zho|Nwt8-XMps=H}7@l6!j(2N(@>?xtytRHML`I$}c(}dNot}BDKyv;Z?g>?ps(GIM
zhN@e;8ncMQSY%C{Mg)7XlR}(EnsS<1qxD$#w<9Xs(|62Hws|oL8dcfXH%BYQG}J|w
z=vRJzz+6^8e|=5$wPxoCMo#5Z-r6oxdMAz_xASfGGmQzIs1a^<IzKfvrR_U9J6h()
z84(s1_91z0W<sSbNW5fXFzaV-ecO(?c&)6l3R&KO8M}qK2~IIr;RcJFqPG3}C`>{o
z{{6ODDh11EXj<r(W=HzwI8H>{^wmty&-`4b<@@rW)1*aGS3%zVcmf`(%h;#QI+1!s
zPp5k#f|qLfih9`Ewgw29KFer`kYn90?x1L!rRA>sg^!Mrk#Wk}l{a_tqOT22FNc9w
z<M;2XjgCKaw7Vo(P5bg0B*zX7yuZ0B#dX0Yp-?B&I%=zbW2Q~aQywjK)1VI@j*b6p
zZq{_|jf$vBHLaJa%)|A2hXuRN*V0AeS|^t+(N^p(<V+CAvpBr4ZLP=1=xB=LgxPpc
zWdXNyf_4taz@GJV<YtW?GS3-T&ik1V7RDCI+IPIel#Q2Hu0G9Ng&MC_l6>OCiOhl2
z`gV&$OI6$6i8h;_j#fLo=D2vDH$G)Rk>_S!WuLugHg4(+_S&^-?Y8pk%T}>bhKGmW
zs>gYUnbxQFw14$+sb!a05xTwF*LnH_p2w^0hiy-J2ibRSO>q1<on)F~)>t<i%y;QC
zo!98x+)r0wzZlx|Oc@!O3hzC##pA8{9-RFANrhrw;=lau?_+J3V_ipZR5n{zo-t}j
zPh>Of|DHJZV+9S3i<H}D#^~-fX`e2hJAL|oU5ar8c8L6?&-V}L9L9Q0HL0~^F<!k~
zS<f^~JIA57D#}M<rk`JY=-skT<C%${R6iXTdx@CUn)0|^jSk&HMpa)DW*q0nsU;nW
zmkNwN-dW$7Y5a0)q;ZhTw4s&#_cyxQT@wcNnInaqCBxUQ^?z^u_B|bs*s814mo3Gp
zx^N&TO;pOA?ttqfZfuLWiDn(cIxK9X)(^Kkr!#H(HnOm2>rLtE>N?;_vQZ+=zMw7q
zI!Qxw#A3%gPo}^Fm)tcT8RNMxiKVyDO;qLT(BGqz<6z@vv~0Pyu5L(%W`ef38rP=0
zftawc<GgvZZ!;vUyX7Bj6RFS)mT(r8lY4n~y2DRr?Au9Jinr*s!B|h;-0v~7U9U{%
z<|p!m{hD2728=4rn{%}?GBUiw?rvarsNP+BF|oVxTC<>Jnc4R@As;4sXJ?)0xA48w
zbe*5-vgz<uaY*(e8%NUx6+tYX8FgKF^-$>N&{waj<1~b=oM(OwkPB|T>*;C59Nij|
zkV|{P)a{)m{q!V%I;ZciWUI5~Rq0nRX}L^wWDaKbZDeNVj7nz5dpdVfMQJvNUTd;1
z&}0#JNTyDeovbH6^2FbNUsN*xQJW=gWUqCOXkBaU7@tQ$2vgB<uGY+3n4j_W@o9Uy
zmz%p}TW%|se$~gj8^n1Qet7aK_tnJh@m+hVm6C871<8DU%ZWGv<C<bk39HWg1yjEU
z>Ld1_50AX|vk9wC0V{_mZ`M+Lb|`<k-A68)sf^lc(Ty8dJ~`Z0ond9LXYXDP4i1_9
z`}Z3)=jIINEx2&2zBwW}KY8i3&fhGqvsbMShWD}r$MnpjbYytB&bG03{u*q|3ar;!
zh|l>|$I<u3n93tQTFl>D6BqdR-+$xt$KWQZ=X)?vv1s*@YQ-cxP-uiE`erY7S{xcf
zbLyMOTgXvQHHq@~-|{*<ychL{8h$3wNFb;`M9Kr7h6|7ANZxdHLh)z~F7g43xVmvo
z?C_+-NQZd4oS(KsRL1kikIxN`-z#;dQ0|J*6)LG{y++kJAuVmxRr<nruz=dthI>ZZ
zPki3I!>7-mIri*1v1}z>`RvrF?~4}$N^0KMOpBxTPRN?ptDWgpQ&o)=G_JWaIn<ij
z|F&r3h7GS!L{MT*Rz}ECAMZXX#&J^A)%4r>6!Fyi_vuFMP))Cxl@%4m3^^QfY^|<&
zE@D;OG2B*w&hf=4r5B4-FwJj3SI4)ouIHJcvB1TTtMO4e_U@HNhpFoR_G&zMVK(A}
zC3#>5LH5!pB#N4v&lMCD1T0#P#A#)vN>dYss1azGrgg~&yo^y8st3#P^iu21_(vPA
z7HntCO{fXmPDyd}itLdv&aZUVJ~c4ytD=3t&vC4~)y739E$-f}+qZk}vIjk4dm(18
z;5acDCt#|r9rTn}hbL-G?C`SuCMFTfFj4F79Z|_?gXXR?8lx$4l5<r9bC<DGJJa)n
zEV;edo3JZ%w!B+Ve{<pb&aaOyC!@-}5^K!5COm3AP?u6ShBnBbY29<NGpav<;<NX2
zkho(s_s@6Nmq{n-mqc@yO_A=TtXk@S;8L+bppfZE(L7eCSgA^_;J*F)4?N}8&=)YQ
z2&<b#%l?eJ6)o=JuDeCtVT^Bdpf;)CkWKHCtJtf`YA$%E2eGkSUWJlquisLPRlK}%
z($mu`-a0um*uUCq8m5tErXR#?mLAg3r&l&d3T{rWj`O%u#%!(x>spU|yWvlpW4JiE
zxQbPi^dFp)mv2dJY_(8SkB=}d<}<pMSC#t0{=8g1-+ioxE#JO<s~$AyE)S8`*49qx
zn9AaI$lqLGJ3VHY5P$OQ*|TwdFMNGFlsn5L7ff<ful>|coB6JvWUr`S+h^JSWqq5s
zEKk&k>fW=@ucY1$4c&DKMOG>NXG2EP<G{ea;j7a>rf1R0rBzk^18nD}$CU=H>XHrh
z>)PAfW%~L|5089uycIDsrY9;_lqp{~9>8x<JhFS&uISldt@W<S-1!!+<~e=wS#-GC
zV3+By4MO_G{xYMvqos%SGwGRyw%{J3dULA;v1?B3|N1@s>MOjjaaDp&bAu2znOBij
z%B6y}N%v8msv_y|kfY0QZWh!}svVo^3J&ax_X<^MFXGKp1WZdo|1&C*u<iH9u2**k
zCh!gaT3oDHpK3ZjS|;hJ-J^b}c_!uy;EcfKFYB<HW9yQE)tLA$xYg5r3;LdIpG0>2
z*w`3HCDx2A0RX9f-|*-OR3s&7D4K<FcwD^Q92m#Uw4ItaZ{yoTP0&feC1h9h89(XS
z-{m!Wz_R_6)iM9VL)+GpA~D)o5@Va!G}1Bm!`z2muEuT2GO=Fng&Ga>p6HnPk?4t}
zg!)k7S!a{^c2Sp3MitEv6q;v!Dq1$awLaflEv~eEexU7_XIQyc>*^;)QHQZBzCHMf
zaH@{07Mfq)REhZ*saAz!1V-e!%!x(cOo*4m9cg5#WyOa(8ziQtD{}bSptU2{T&0|(
z5;pP4@i-a26nmZ3m$T-7)ti@eXqaVu>I+erZA{g~vN}!Gw0gj1I6pfDd>PNzm~2?d
zMp?gpeQ#5aW8B0P0dIXbSJGFYhnTLVmZzF(h|f>933ANb<BaF?6E<(s>={PsuiCgo
zyXyOSIq{BPpDulQw9_{n8zwT-cEBiH?)2%ZAD=vJeti7P_sNqltrq)$g8-;9>QYUO
zJNv3*R9<^sI{QMjdfO@<2?=dkKc4DuuTCl{DzbUx@ASwIxp8CZc1ah_V5gD0^Ftnz
zkpLKi5>0i3WkxB5d~{pgLr|ul)#FM`%&yJF^gjLwpxYOh)>MK0hKdh_rKq3~3RHh3
z-<{rw8vi1|w*AZF&h)E6lliRkFB=*(v7VFzh0T@Eo_(k`4{T`jGiTzNVcyK(VN>+!
zinnXGiz*JTFDKx+r>BQw-@Zrrt&bYbs2NsW$$*hL<24$+wMhoI^`_cbM%eTD3dKhn
z@>~}<Mo&Kzpb(&kBA$G;O<K>ups3Ztf8v(0+jrKkHlP+NZcNFz?Lb|R&cd`Gz){JJ
zBbqz`P;3ES<<s|g2RG}aCPkZke{+;Kd+0_+Qy66fa89WSFJ4zhPLAq4(P$7pg)LH@
zX0GGKzGFmBgRUy^by%2x*YsFVW#=!4@m?i6@gHq%##*k_OfOc+rU60EPoa{ttqh%+
z{D;~fum{;4!z#}l{>=P)2ReT@5t{4MS*Y0Kr+G1)0LO%LucQsJHt#)nP|a+f9fF=y
zJ7A0dwu@LEXAm253z)~YORyDl)M<9aVmZjl$_rG6XP|C&%J2E}ZR5SwMVi5fuf^9d
z_&yuya6JBIwPM!OFl<c!qSA%7rlD)~9L67R{pBt5v#3mBCbprEa2a&=Jrpmokvrgy
z#yMpGiqG0QI@{a*H&jq6(9Rq8ZvG{WO4Yd6^{~sV-2ev&uzbx_&%XN?TE4b*-M)SM
zGZyiK!#}et2M(kjy}43JJwCsc&n$abnty;^xZy&3SC`7OCbKkVa?O<ttP<HDtVur)
z=mZKI9lTI9)P6u#XYl9sRV;i((<qMOr4!(=TQpERekICeHJZ_F7p-b2K=bV4sLYa(
z;P^T@VD4)Cec+c&B?F7t_tW(WI(f8}C=ai+vTXG;KYl#kmbWlxKE6tgqBfuIk=;RI
zPOLTgoYw4O+~Cj`XVyj7k|5eq;cH&UL97Igj&+Rgt-+(`6csPCv9kvnuB6){uj~Ax
zBcn;DG_Q{CTT9W*r>MOH#Xbuwup*>oWbOsTOL?qS3R;*N?aF#VaQd5y<oPR}O+#IY
zdiwg$dO)C!wW#;D9kO^ACjns0;n!InB4uVsiic^2UP93;FA4RYITtKKOVd|Z+dh9r
zt>-xX)8f#5m$~TxLspl`R++xmgue5ts#lVYs-r)g{4rpgRc~=R$6-ABm-rVS+x9*o
zRxT-l<)K=KGjbWYG*XLWvgeI7+|LcKqemYQ5fSP9CE+~%q(~U#WYmVb^Nx||@tc*o
z&NGE6t@fjx_F8Avus8&YX24C2wOG&%IG1MgWw^Y1DpO!!HOD!lOBGzFh%dto$=RWs
z8UeMnwbeCyBqf_oP2S(Qal_J3Gp}8FEK^u)%Db~@u3F$--vexPE7k{0g3$-#`uxhC
zJbA*A5TU!}GxmE7eg8mHPCa)CR-CaD*L<c&wo;|g#T4}iK-@~I;e8nsW8Y`5N=Qt#
zZx~JK?(Q}!@Jy*SF>Cu<*_QQ?67{o_ecqud&Uab%qxxx?L5Hq})>-1&8HfL@crE+7
zXZG8soYt~Shgp|2MFcq%Hk>3k{R}nq#2Ws_{@SD%Zt8fZfKgRs9jk8P!?Y}rU@WGl
zg|A<~`i75ojYpY?HN9;cbU1kSE&IS1s;PwP((LP3sAtgx<F2}W(=jdL<6szKa&N5(
zX~D~N+Ir;cy6_lRMLw<<i8ghk^3lCI6DVXxedjY#+uLA6)zY^ovO`=E=&Z%3b@Y*n
zSFa}4>!^{HpF2Au8>gL9H;|b07L3@4XQ6Ci)~gqdZy@*5#f!MgeO8TAtAk=l6VY@T
zuT~Lv>CXr+otQV`<l#9B4*5t?bd3!d)XAy6r~TzS#-D^$RVk*8XJ=<y8a6qNp0UaR
z8!*e4wky(^kT+GLO0z}bCfB8z2lHh0zcngi1_V4=(CIZgjAoVPtJY|-_uRR24j@F)
zjR_IB(UbLW^@@r+R<YO}ArDi?tFNsPji0~3I`&>dU8ry=HE~J`IJ~p;g>k$Wvv7Px
za=e$HT%b@%%tDu(*zm0n`S~%Y+eGgl!LF}*E$fGyJ@5LZxR^`$_zfS)1i2G!!#tYl
z<)#gdUXt_Q+4HZQdSBh?yno$5-B+8n*Kgfg?lt-%Ayw&d0gGd?rVDh9k`D8{IpwWe
zw|dJoCuMJ!OXrADN#GH7^0G?5Q<pyZ!?UEL@N*_q#Yl*8k%`!yh5#MaXK6-IO#F-R
z@yFAhsKe5n&+fMe7z7>gD|o;h0W4yK9f&gLr?Zr<%h6S7KNnXO<Q)OChC^5)XEy6N
zB|_WUxOHpKuWLgsNBO-X+R7ac^5_7-0k}8xp0DXF2`uS2$zuQUm9xrcory=1Y<u@c
zpY&pJ_*H8_L<?sSaQ&A#qF_Y7_PvlS_2^rEvibpIf4iZxcq{5kbE;XR5l^#KnK(;_
zVP*J(dIy^g)|6ah&!$5<1)U5)w}J%}zp#4qyqt>UYmGL38BV=b`_YlEvHUFX>HG2A
zM26#qTXJU0c~HN42R+FxQ!~>~wtG=ixN}kHB<Me^JRdmm`be@dJN4H&tw*)hQ$`w$
z89m{F8@F%gj<V)i9)ThjSQOuOhFU|45SKY{N*zd8T;aoe_YV4r2kcl+L-US#x!t)C
z&V=l@4ei1Z^hBK|-|UqOG6{DCy!L(iR9R0g-p8TAvWOcEOv%I~_Tt5hgi}RE?i(!=
zJk%q4v;s6kF}{INMP?xrdHhINh1)35%<H~{Jng^!`b!2FX1AAEDCm-69djWwo(Ch8
z$2FU{<k5htp+S`d@SoIi8omu6^BRwZ!|}-`Mn?N&206#^^j{Y^>!k|#=+bI4wG6!C
z|8i}VN;!9q882W^`utl&uuF7TkmFgbiP314b5MQ6WV-rBb+@={yrbH9M@G-~s^pFA
z)3R}L&YSen-7;O~I)5qNktv&D&6-LuEW>z5OUda_ZihA}mO#nk0R95aLGVOh@p@*E
zcu=~)KG&K0X0awOcJWRv_KTMERn?!TG9^a4%2Z;M;~G*M(RmzZhYNBdO{;H2mCV#l
znNj04gNq~kPu{xsoGkUBA&UoF`K7%H+Sx8<Cy&<ZfVH#7cV#iNu$g9z^C7^nnZc|w
zx?ErxB`=BT$f;?9e&@NA)>Dt<@L!>a%*RO{(>?va)-o`t7#T%}pAHDcLJp|k%&p!o
zRP=_ki|+eb^svIRG8Gq>Toa){{CDr(y<$mfOPFz4OQD14SZ}p#KtO<c;>Fw3<9%Jq
zKf%7ZHPhvRHRUZW-zq0)4~*Nd9-A+8=nOD;f+rutyQO;g)1`-cdG~8NA8WfdO9?7f
z1|-M)_)6C@e~48tL8Z3omhaVp2a3$O**ddvCR%Mjeu$Miemk)_peR14m7}fb<U{eR
z5?&=#OH0dS{Sqdt#;xn3@AX~kOvszhEXZNY$>GV(eAv}DeapimOI(JBvRnH8P|w_!
z)22<-(ra0^)v;>)Rw9QF*S`|$N-|Z_CsNl)pm}Z-DK1W|PN)IKN~tkG02;WJPuSGr
zl;bor6hKuEdK?phwx+?p%6x95h_~}CdwvX%w%tt{UZXH5OVdDR=J5<$4~Bi9shgVI
zwSkfGH9!ujEkr5?hK2wrI`=Cr&$rshS8;kpN9p08RoEtfThCb4<+<i*+qJH+%E2yH
z&vVIfnV&LvaroL<@C*>sIN=_s$8AY-j<5P{%1TPc)zoZIAWqgETtiDMR@fE8%0x=B
zMs23UhGKjP_{A`{9a?u|>U-h*%Nk%`OR1VCbB^619>rsLMX+qq=IURCSas(k&e|~3
z9`j~#8af*Ma4XYkQ;8?(zltTms!!VU+)A~X>hKGE-vc;pT=-;vr?C?K=GF&T&V2-g
zQJc|0w5-3Kz_PGByoxCG6V0wVubk5#Uhj`#zku8GoCs$6CC~IEF53R;SDPD8aOL*<
zd@(Wo!NNqFm!$Hfs-ul-yw69)JzQL;&pZ=2*PQE|VmEw|apT4-HL+@)eMAi{$Wi7=
zp34Cu?i_ivQz}`nXj3B*^y-qMi2bl>lk%YKDD)NQx8~+h3DXjpCI;$NV&0Z^iCc$^
z7EHZS<uda+<tXaj3*pbn_H=Hh&TI*;L444qyL_kDh{(3JX$5^+jul$_aLcrvhEJr~
zc;ufm`||9qt6qUuUirew=U#nD;KOMw_e#IE-t+VXP2vrvm)uD1m!|97c;^U^UCX(k
zH6f<B0(=mPLXX!H@IpT}dVo@P$$i+83lj_T!L^*}Dhb+VZ9}$jRtOx-a4Fb+ttyfm
zV4*;h=P(^$^AS@>cMm>&{CK6aIG}SH)KN>fEbn)dp9k(OlWlyyYu7FTplqA&^7jqO
z^^}87Ig)Y(HCE!+P_Uv?*$tGHpK2t;jmDwBbdG@57%M67_!+Y1v1Dn%1L3ACJg#s*
zSYVfVoz!XKWgM>F@>HQGO!6$JO8nS9xmwDA*!HeTr!}819kv^K>4Ivc?w4fKr<`^&
zlK1$0wgm7Uk;{w6AxbI%e;+8Ao&yz*!$WY?=#ZJpDtRSFrAc59zReSsDtM**rDeUe
z7mHTR!55o&wN1_nFu^kFDDv~0xj*igH+$ml-Mij0uA2LqC*z@<JgiSI7;Ayfoh$9O
zIprWoebQ$0bLSq{$9_Irx;5i<#k;Ts{hPm}0W(VU<XC0Ly5^s6NTCEt>i5-c`0kUa
zt^>W_t8m<J6{}OZ=6sjrLQl=jVvWro#I1J@7fhv3G&z=Z^i)Qu9M*@kl^Epwt5*Fd
z^{d~6=lL^r0qmNNwh%9kS>_&%6!Vw)7rhX*8L<m}J<7est3>dSDwJrL8ukr7jrvLZ
zckTL6yZ~erOwDvG(xDbWf_r#)P#&KltfF9u)xLc_RL5RCKf!`+uGmT`y7}&PEbeRz
z$@YpRHX})BbjfwBxwuKb-rk`^JMDw10HAR`uJDOWur+kwCmBR1;M~7IN;4ChXq<XV
zp{6TA3@H9y6KzcUenMQW&sai3Gqi#jH{IP=(yr<TLuj|W9)j{8;B`^|@?~;aLv|lx
zUY+z(K6G6gh!8Eg|C?Vu=zI<|<xYn)EUdrA=bs6ioAJ1gmI$*{zZbkRTW6f06krQQ
zLxMiH`eO=JyHB|b0$%U;#7lx4MXVF@eAr&;Q=Ne&0pCVPM+KcGhb+BnMX}aV@A|N!
z1;uWR5I9~P_QF2Ym>Ms0_N)*!CQxk-Y}9fMUHZxf9)b6^Cd5nVEIvR5)ap`dVT0;S
znpTE{X`MjuuV23eUA2O@^6UG{EfX;LULLpV68aUv!{Iq?4-Y$4RMxVZvM9+y)5f2N
zRj_u%Fn#VhW}*QRL1@_*(3_N?{wnA>@7$JjI%+M<&)IanxTgFp7n!OM3tB%rFM
zQRHHNOea4u-ioS~dkhQj>C>nBF5PLhChEyo9@qD6@;t%nG<1FHs1v9+@nZnzBA{ev
zIg4;}a8!T}kG)^TO2l<im*$7PTou!sH*4D+g?`Q?X7@(OtRWH$^V7BsB~z`g(58r}
z{`T!#Hs6(Dhi&^+U$u>O%xkjxJeP3J%!SsGc5;H_pxw{~D|^%cCSkMZ54VY2bUCn}
zhez4LAyfMPmJlc})!kd1zmiIJ%xR>ZLiD5a;itbrX=!|z_U4Ve<lLA~6U;W+g49u}
z_{La}CXn}(3-6a&IZusrWVX69Cqtr7%Kq`=BE-~_kZpOXrOsDLg?w&QQ7Q)Isa0t2
zFGx5x)k-QoWFb4!9^STgyM&YKE9nQ8f$0(GAcT;_^|kQgL85)x^t}+ro=qq^B`eGC
zCl@3Z<+?D_ED;qbIoUSd-;hzcty$5VaJRIkp9+Qyt_EsA84_E)sCbCg%>4TIGqT~i
z$y8R~P90Cnn>&+bJK(K2{n3Lxm~j)A>dVPVJ4%J?{3z>O2e0e!6`lBjU&47)XXuUK
zpv%)Qo74dc<YU|FeTiEG{rOK8;66Tpqwh8BEBz)2Fk6KJ<20YalV!%|(-)Onz&2Bi
z=L#(8v=Q;XpJGf^R$Vx7>9fC~kZE1}#2k7NQF}WoJZ|6Kihm(}{P?YJP~OtS_Uzg7
znKb6%TvzzYTZtG?g>IqQGv4>@l}CUX%vaxVtLn&eyZOsda5&FQK>N3MZbAd$<SO!;
zkUvuu{y;H&Z&%Y-Y8R~IEhtS11s!4wv!iBxYdv07WGYiXKga&5!uC-o$}=gjN@eha
znE||%p7xZbcGJ6V(|{2lAR#1F!#<u3g}3A&8jnt!WqkS%+N9^n$;p-pj*eRRFqgww
zC7kS1dWb$SRa{n<a4-jgrLAr1x0gqk@i#(D)$EZl6$-rC^V;v3A*<``uuP>x<wK|H
zPVvSF-b#D*n%foe^!a=bStZS$)`P6cRDyfyZ5jL-2fm^5V4_3d+F*lG(P2RTdhryO
zIR~$zg`s?g#*z84N;#!)Nx+JLR4^{>?RZ*l5#8_C1lz&1(@Rm`<15jWbNQ>crJ<-z
zZ`h@Rhlbd#EPjX~oPxFgs^J&tfiu`$CPZy9jtC&DIyh?&9Q~#oT=8%mpb-|DUVHH(
z(}ZD9Om#G5D<Y+yNtp?TxrnWL?dbjCnyhQ)z{};P{dthR#5dA9IZJSD@<b(x{_4Z7
zqER~1QRFPz>g~h()9+a_zj^U9L0L}a*r6+@`yoph1DY^C9I)F->wc-|>({HyYa@j6
zrP4dKlCOMQAz7Nn8}FsNh3SyR%c+kPn34@FQM{ZS9EGN0O(IsElb1tJ=%m^!CP2XH
zJTHOP6=M<PCU35R$_JZXn7WFAB^J!Bv2E6Qdh9B5VQYNWV6^qA-Cv!LeUx07D$}mn
z1Zu^<+^%&4nwHt6T#4b28yH>g<aLL7COeE95lt3FrLyJyO@eWOTTh%k83Qs)Vh$-6
zKhZ+%H2xNP0>#Pj_KXSWqjJ1v6hU%;1LZjrO)(G#KqU4H2`O(EwJwM16b+rC2co4}
z(oO2Egb8eNN#Ya%<|$4LHa31%iamYtVki<E8qj5rlBN4hz%ca98@@g4?0x7r<*5HQ
zvy)fnAX>;}Y<;<`2Wnb1)bltn+}>J)U?ndW@r|sk3HT?#2uH}<etEom9Jsg}4)r-Z
zJG<9<QzI<2D`3ySJ0^x5ieM<7RSfjIdw1^0J2_=Lz_<cD?L*JZ#5K&>dQFYEL{Scp
zetvoM=93pM;*gi<23nOzZ-`Znf%00NWFRMwEk=lGlYQ5AaMUU5=6Tx?*81M+n34`$
zPQp?FJ^F2j$~9B#2PFQ|oYpW+D2r7~N`|6DQ6SVNR`r}|pjlIPMw3Gyx78f^wAkRr
z&Rn@Bqme;<4SzAt?O^RSg)^zvX|aC1k4gn~9kkgh`;_Yd`_}pCz68z}%<uW=MxEH%
z*>%=QU0FioR(|=w{WW$%pwKil5;h=o=$Bge9zIkCmIH@fs`dI&GB8*p@&Mj4?BdyI
z+sia})6lGo#y-NosoGh3_aJsJKGO>t>RxLRkAp@PVRxa`1kq5TcicMoJA8Cxdqup~
zVJq$HSc*~U>4)A4(u$*AP(e-iP|UN3S4w%}#q$0{lBy1@+065#+DHi%rn4-VwY&G$
z#(X~FSW*;F-Eb?*XsE04+M=HcVk2K}J5DfY|M?}&YK7%?KqlmC$Eo%I_7iTK|NJS<
z4LB8xzx+@0!>!ljX_k^W(k9P6<<&#XG1W#q^#i|XYL?GmNKx;wICOc7^vjr~th8&^
z@GtOwGm~N%5E8&QW_-&?)rdFmPE?OONGG+{V|TgIb%w>iv9CAF&o|x_z2}`q0T5)=
z%a=Rw;(-vM`M(7E`ZBiEz4QC<;RBS=u<UFx{KSe((V>u)^i2NdM!?%n7W6xTK_EjC
z$D>4ljkQgS6toa*gGX!~?d?OK*ghil^F=@D_L#xv%zf}~pwxMXL1%@}vpijT=yiMh
z<ysS=j;^j%nH)nQc=RX{vfiaH4oCd>@dJ-Bm%KMJHys@vE67j4GzSMcrI0f02_Kbd
zmEG3R#fSNy^0ED|U22MUFF9K{-F5eIa>|m-3~tjnA|@ONkC8MN>%!zoufi{dg%z+h
z$EsCydQk14zWbVG4G1+ljg}x8BvEFZR-a<oAw%jTJe}T(*Pbj6-8=WNu_-=tsfs*j
z)R>v_*^Bk(w*!m!b+y*c4K0lj8KK4~m}TX+4()RV+Jj5n{nX`WQ%+shwS<~@t(d6u
z5r}3K8rak4mm_(Eke*1%i^D3&yb-V}{ebE9C(q5CLPDtxE+|zYDB1gv7kPDQF>tu9
z?wJ0am1vW&kIn(kR)(JNgvrk4HQL$PiJC#NJhY8T;L4*W=LxMiwIpfO07Wzxo0fM=
zN`l1eBkX|;P7X9?sSrAW8Vn6r5G4UXsT-Yy({CPK1CDOM=lfgF>kch$^&^cN4lZdz
z`#!s2?`e5-5F28*1H`g)&9&TQxSUpB4bNVDvgIaf-cv-I05AnW0MN>yt)GEPKcdzI
zgevQ;aQ=LW>Ep+bjZl9{uqiFsU6(Lr@_Prw8%hipZ|AxX$M(L{IFG-D<>eiQChq5$
zgLlkC>TnN*=!0b=`uh4Z9Q3`JM(`F79z589m|5x>_=?Z?bZ-D06cmvBDZX|jS5MKH
zqZDJ;@1gi<T2gKsB5A}$smpcFDjV6mcdv{$a9v}n!R5>T2^4R{_8Ky*1VJqX4J$tW
z>(<K)-zsJ^7VPM!1bTb#im6uDeFiiq>%EpmtUD<i?_CXp?A7j*54+zM@%Sh*^^1dm
z!)3Y<?uZB_a#Zo~R~;O$gu~G;G)q&NR0kS`7+|Dn%NNzpwDXXNV-j%cRZ}T{$V|Fh
zuE(!*x@D^&tQw~rbcpuoCePcp%ojE5_b>QKZ5R+5D>sv3#WzGjGPq~@rfcvK33**u
z^HCY<w6r%o9X1$i+V|_)bEbP^s^OB5?+&fEH$&=<5^l1S!h^_!*tmz{v37d}KFfH6
zRhchy;d^F7LqlSk-%b$!_5G5=(EC-!xW=mkTOX9K-@JKqH^)0KtTE&|-!Y)=c2%oR
zt>!^JyB@!E*3Fi=4y1yW{2kQc;-9Zpi-Q-FzuF-xst&w|k2M>XIeDTsVm9Yo*Rt$V
zpUsSnN`_3-?o4=!RAV11QkqzPWEFxd?F=jl#|Acje`7_oPF^m8g2c#2$Lj;0^kF05
z37z>HsO^*I&tnnpi-txs=DoO#dLu<yTj&{h#aEOjT66vo&Ax6-?X7F~m0?$fKJ5<|
zK$)i*3aAY@*qLAnEd@ghVQ%g-B<2)G@p<z2aR}I9FI+ttS=pE$t6!5nfZS@#Pzs_A
zs$f4#oecVfiqMEX@k-)(tI9>N4NQ}5Yfrw6S;iXL=+0x1l~O<8yLS7n7OVj?ms0RR
z{VTrfHf-HW$)Z1+TwgAoMSlk0HmzR|m;PuL{Q>2e>i+(ovdI%K7=}bycZ=DNTz+jx
zOH0e<JI`-3@K_@-Tj^_QX${%>0NJC%?JL%7+P8D(Q3RnLVfVqE7c}|Khj^>pM1z%_
zZ$85;IBo1$3YwEu<Xw3r)l|(+(cf|>fN#$pgldC#T)1Oc{_^_NGIcXE9#&1MJ9rs@
zCA{b5q}rug+b89Z9lJ4gn_pPikG1L8X_%vsl&3N_h3u4&Xma}d0D=g3r6uv}o%V}}
zr~!;ZduFg!YLOxV<hB`9&=iN~%$tLdzCwH4&&$h8+AH!~&+<DIH|Ir`tb3wc&Hk4u
zdZc$4psmU@=U0RUcTtSKg<_{G>y<tiA=?~}iajcM^APkF0<*H{3(7NXj42AJv;}&w
z;mFtO?KTqc>OqUFmL|0oc&Yg7!vpsYLoR?SQKS(d?)a-4vhg?M$V!6vO1pFUU-q}(
z?>ErXvsV=Q^9pX|3RswE*}(UHY;mfIp$&a2R;*A@Gkd`XPsI$?>>lFG##p79h%8jU
z)swZ#;=iLQ^r+9N!ClS#&*F2-j4EAax5u#M-F2*sy0?0s2xyu8@-O-Fr5toT&fEKM
zoBr?T;Ju9)HW8CB8et-m=`*X3Q;q@HCo$CY2PdWwwLRqxMtF~j_3+{aw&)!=cKH_*
z_69KvG_M`nrq5SpW0^#NA+Tr12zdKK4c<jdw>By&>Y0dDxQKrS@2Du*FWB7<P|G>{
z2WIdShQ<B|9NHhBtOD_bt!;!v8rZha=ZD)h^lFv978R}O`HNqZU9ITLm(>=gEwZJQ
z8YuYwm$^TtpMCo@AmA&T@y?GTUtuP7kw0W(W81fD*D-JF&f=|m)z%z<hO%=ZAd$!N
z#bs_zPEShBvHMmE=kYh(@jkI&HvC`J?@*xs=<4qDiM_prN~wwV)JadhYJQu#kGdlI
z?cGw%G?h*J(mS6SCtv>hH$*fUP_RmvSXI$VoM;ZRc%as6{+>CQkaU(`zqlNoJ|4|6
z@q++9xC8QK<e%jLw?n|Hfd-Aw+00S2*c#Sl9t&T^YqYn@@lyFsVe4=I<^Rd}y#W6I
zFTTG>V9CD!8?}>X@xM3p|L1Ab{NF!&K+9mgVx20O8yfmrYr$FQ{{BTFPS0%~kJd>`
zOLK7DZ;n1jskJrUB28nwOvh5Y{?45{G}Ps}ozt#|I5_UvGT#8QnBro*2;!Ep4gF@w
zBA3aXsm`=}f4!L&b^R>YrZodX%QJHGpvfq1&9j)}>F4%*&psp?m!9s=TleRaAEBw<
zD_u~QY@-Pg8LMuo7Jc6DIu(Q7ukVI;MoT{rDr;$Fg`CsI?%sDENUIj>h?G4Sk&=72
z?qZ@ULB`0-MWNW0S6^qSMow;)&jF5x$hL>Sku%x`3S+HF>JgO{5`@%#`ErV)0JzX^
z>*!{@T!$oXj~=~_TDVk;aZ(;hFi<)+3V=Pw{{4ShJZO=H2+qO9rRd_~LbwIIQ9(yN
zmCbo~9z59d&huFe=X;+_%jY(?M;(~l->1;)YBraDvZ2>P$;UTty##iuu)tL<sWk(s
zW-XcSo2Y#~Wo2LKH2+$B`u`tZVmuoG@R01C?tbO<Bq)dnAvIzhlduS4A9{(Z(Z#{O
zzOR*HlzZ^!6%Y%mvFRIa>rFGETtj=}EWY$Vh0}HVF8#CP8&(g=0D)HkeES9k4W>Gy
zJJcm!@<7rx^sfzj_i@GkSX)L=B+@598yTkmXYkGqx#*dg{aeDnQ1(dt*K-qhMdZ0x
z$uPjs)t=Uu-DBh=CGhp@*HbN#i)du|VfQPK#t{78CoZnFS<Ct{knbzvyCLRKlWjlx
z<k_=m;7G%sir0*tB_$=*z#vH730x`Pk%Ky~j%e#99?eK-Vtq*AJ`;De&2U1f`xT<w
zF;ML}K^$9KTbT}AyoJR&2Km@m))lE%c<rY#VGzYPNwfxhy&Q}hUD5>07ygNXcNpZ4
z80fa3J!Ch*G7xm0wuTpm#z*pO9V4zlfN$#udh1eRh}#J6i99qut@JYtj$nfWc!xtw
z&giJmaZF>|FDO{uunAip*BLl|6>OU5P9P!GuTC=P1TPX9nxoO^j>vZH``zOav?$Ec
zhC|b6kx%a(22Z$dKro+==wp-$C}W((jxz&kvfjCqKh~sC5AyTFGPltJ%#lZ2#0(vw
zK74G<`iwtcNL`}a;_a>?Kmh!F55)*#&TB(xT)Qa9fv99;1EF|_$?{}`eaMDa`;^VJ
zIk(Z&5ru>ey2^J`M`>yIsb_4U+=QDgTeVi8Z}By0{`QI8kNfORrha59x1pVSk2NpM
zQ%$pyHk$z##VQ-$wub@D)wAG0dzb_we`b$9B;r>QPu6J#!#5N7G$cP8FbGrTyq#UT
z``YcjCAt|%r99Ey!kDX!TVdd^g6i8A%lVvIc`?z#RB8)VC^=nQF5a~J$AV?|k4*Qc
zZ>c_g%+J!}LvDj1SZGPf*8V&)pP7pf><9%|#(V9yLocE5WR3^<hQTOuhJ)oj&s*O2
z#K&iM&%%v#M%1jw1dDw&OAEZ-LUtXQTfz5e;(UM^IJ7+wCPV=VJ`HbcxUHrQ>F3JC
zCp0rcwq;+%FBF;Hx%4N(@4LxRliq*98}USf`kzZy><|DLT#-pTbQ4MiG`ba;OhZ0z
zgI}*>g6SL3Eqn`_;f``8H`b~c6*;u<HP(VH?280q$KJi4@9*9@22{9j=1HD#@9a8y
zV2DikdV44v*w0oWmCcpUcX^9DVs=r8eAM;NsVgY_cuKYZ@d|Mf?&cJO1P}>7?oFNu
zPKRJ+kf|8Lb9@5=qJWem5xxUUCTkaIsRRP)6%5^`Zg18u$D<j~YMwg_ZV;Jl!1HIf
zxRtAPIS$FZzTQZ<0AQm7bnixO&%1ZOA^ARrL;<I$Xx%`{&`?EX*EWx|UA9?`nrqis
zc}1MW+ycVk7%EWBaO$HbP@#X4y+wKbzA-sjfF6DWJYNMYHlVE-i0k{gx#J4kh}io&
zuR#drt7ePn6Y#&J8OMFB23nUBRWGNg>!sCCh3x(a{-=S}gA!Hm6|~xAkw?T2JS{sP
z;$h4D41!c~`qDo{v2w~NZMmJ&^q1NjE7p)%4P)$bl3W0NivX7HgKfoMP-e5XtEJtE
z?FT81PqpObF+LEYEOgdf4ZZHSI`MFup#%>xp`e2hPY$@2pmNZtaD)weFm)I;a`g+!
zw92$P1`<TRY3@VdN1*KY)o<LiDIEA85>*r&0n&@H4BpKy;XZsgkRg8O$BT*kz#UL<
zF#LBteytN>G@w@AG9GV!cv7xVD3o((!~aG)2pKUrb{aedWCW4lWsB{(b{Jlj)qfC<
zO`ACWop6|8Y2ESk<d;0}=t=W)0cEeZF)IyXwANq>$)73oe7q9>{8DC+gmay#la@-}
z?1*Prg?4h#Gk$}Ic$Q@SP&gh8p)Y8pH95r8UnoY9_$k}#h=>?uu37vT{;ZoF0##E7
z>|)TM#(xhtnWeX`OrwH0UpVWcY`at_0`UHnw+j-&j>&od&PsS1O1oWZDIcD1s4C}Y
z{PSXwfvbm<FLf09l28xAMpfDNR%ukI9Mcm&c`3;8oXE)jcZw2itAmaA3=WDJhUZdD
zYAYHB>2~?iw~Ml-MS(|mty;c#m6zAG_$Fh>!L%t`4I@@4*Y3LAP{h>JEkcMyPC^m>
zeD6)|mPdeH7lND@J>^!<b;_u%7uvmBium9_NL7iKPGa;ivd)1^D^n4~n3xxhsTy(0
zDTbBOa7itgJx4rPT^_NKM1G2h)1P+-em-EQRJXwv{Ejhq6Q+!ykM&|8Dt>4j0YRem
zJ76jy#c9ftTPL?+U>sJ5_*A=3bxkWqozzo|e1n`uC{{yyDj+pXa3E_iS%CB_2S5LL
z$O7kxjpyzC<NdkCuCrQjx!oQlFOHIMw8V7xZemOUyH$}%qj;?>66)*hf9sp^KcpM6
z79)ZxKrV#;&5jh=pi(OP?-dkOO2{6$_moR5l*}1`$`Xru8qwpnwts;SF84nEg-ENB
zkr73C`E}h!lV{L$wq7V(Bv(M(1a3me5fPw0CWT<-Mi%YqnM=^{?E-1H|51^lT|GAu
z(jfYR%&AlIP?6YrkXA!Y`%S=6d)p=XYfeCR(LebVUH;!hWaxbUqp3RtK7RVNA99R0
zaasPm3i2pruJ_00c+&=r{~z%kMDqV@zH|Ke^7Oq!DQ^dA`0mrxtjulCPF0TaUHG~)
z+$75eH$9eq_PQ;z!-o&^2?=s2$@QYgmZ9#VZd-|ni8Tz&Z4M!SUzl1ST@`*tgDzKu
zYKYCb{L7y`;6@XD=Ke#LY#U8PS^z0GlU0E*WQmS!X^=ScKjy-tM=uGDK}RK}^HV`V
zV4jJ-o*wAwEmf{f#D&9P4uCB!aTkc};_<D&-^5|a-5)*$oP!ubfEGoUoR1(=kZoZ?
zO)6lKLFD<Z^MKwUdcKj7aSx@iq(liN_csB;A_M<gBtVahv*LJM)^FH=QC7iATclr1
z@u{dhOp3QyIk#=?Dyq;ej593F-uZFr%Q-EFpHZIuwuhHAtvjAYFCPCh!6}HANL^A{
z^v?L!Hl6W3c;M;vr;EklzhN{<onJHdPZogu)PF|P>Hm^@0f*|{?GJo(0}UDHk>;yF
zv3la?7l9TU4FJ$vpO%2ch^F2=_ASvmFy!WoRe*}G-h&ar$`avbE+Rd%WHrY7a;g|X
z>mwb(k4I~)T#8};&Yd9@V^H4}Fi$GzGCQfx%D=eCTBO}n6tKV$CVvS)n{G-*?H;m-
zM<aRyhv5u3R~+A>W3dmxce8pJ7KB(JR6+97Bq&&PX^T6;N3mFkhJy_m_ke(i28k>?
zw|2HFru;g7CBd(LAz~$sax8JkXz{tef4Gy04fR_S^Vej7jUfqVj9x|v4T;-y12{Zp
zD+!j=VV4Wy@)H&oRsk;Z&TlP;5j=(=LnCOeq#q&U6pxF)@~gkLV`L5^4a8MJJS`5<
zlG`30#sGS-*vgTcQQ?^btwG;Ah`eq1hnB@-9NaQJXcEF;>dJaU?~VXC<bYU(vI_K>
z30Jl{{0uXt0-La?<A2iGuq;YL0GvYdOBvh;4=O-)r5Xe~cRsD*qbqqXavr}|fm!b4
z(7$*yZm2-jWpWR}$TCF%t(5b0C34u53J}S{4y_!A6gI=5miHYa$SKMp%$mj41F6}<
zksBRN!BC#6geUI%_;D*PJ=K)VE#3NS18||3=ptIB2}uC20{H!XIsj%s<!>A2&QBXt
zD&TYtq>956`#17a+A;(wy)l&?9tg+w1*+12O?(tdiduB<;<ejI;o4;??yTR9w-hia
z-3H84WCmJBhWFu?kt7mU?LiMC3(H?0&QK_itBvB`^#98yNzK7kdxyaz@vn#DVuQ3j
zg3Bch0QU*|#l$qR1L8XV>D3FtIfuQ>qYD=#=W`7Md3u`Ek8b4HvBUFD_m0qAZ};EZ
zu~hWl2kMHx8~Yxv=Go2P_94`5*RJy+qF+L}mfhJG&qe#iZS_63U0*J$snf2=45zrb
z4jG$-IQoQVIE%9~u(~%`d6$_UVsq|lu(}|0J(uSt0o>P#aYmjSu93^OSU;(U1Q2i>
z!R5q_W%+W?5AEzJTbITb5)$Gah9`*p>9utYke~(48dQO)D`k0e*x=3~&LF28qeKLG
zYX|9JEQoN#lAfnLk<x2`$3Kk#t&G@HC{u?A(_a;OY1K1oRqW#7DfRGurvXdINo%QC
zY<K#D2M@+|_Y7?cEcxsnviH1o!={|S|LR;19F1D8<F|x?L(~kM$4T|CYy=W+ySrz)
zvfdWixIGQ@O(J%All&nwsbj~Sv}na5yVJRO^Y-oA7dbMzZfM>W8}X3w(>OLgJv~E2
z6%gF1Qe$<Z^;22Bb}i5NRnO9X8_^eolFaTQh%FfdoMryZop}-%7=sDED;S5ncmMvA
z%AP8O39FGv(6X)7^Csgdn3f~x5RdjeA~)dsUY693lG0M-Ae8SGKu>$2Moo)<ZlIOl
zXJnS0+xhXo_3e|fv38S_>0fqxhyVdyK?&Xiyw-%hXP)ij<C7<3B*XG`xLj~N7Ecez
zcN*sU8|RiTlUtairM7ZYS}hs8OP?(<Nl_QX)GGbfgYB^{MSi?gGKP+!4@yLSBZvq&
z%Yq3L{1ugzNIzPTwTp(Q7o>w33$#ZWu}w@&91)dj`mV0ZV+LlOqp>l-+nPLn_%A{B
z`l<tFB@eC|pLN$wmwa>3ti%JqzOP|*so~j%wwi`5X`PDJ4GyE@aidGj&CKG%F{wl$
zl|8X&5<w5M%$~jI$()#8C)sOksD^?y24gIu){#{OymZRTmMxRjikLW!s2Gv0G2r-f
z?UM+6VlXE%z7BI6><H&Jd_#D~2Fi$^y~t%C$EX725@B1N3(1@%2TaU#k?Z!vb%S{m
zlM8P;lex`K-r72OW=%4}TEj~Uj??86Rg?Tn3^4auwj4$L0Nvi(+F^sbOOJpbsw<Rw
zKT%zpd6JuT-tz-#>}VUceMZ56BS<jpLoA>A`rS=vzKwoAgJD?3o~dtb#(Vnu`Kk0W
zejkz(3M|RdJZnF70sv`--$t)`>P!vV3un)mX!h&4Zw{D%lJ&;iffm=5eI~(}I4}t}
zJLkc``jib@EB%8Y31*Wb4gZDhMbHYUW%`6kd<wTpGpSYZCLe`Xa?!t`8I8nUZxz<o
zi@SNQZqGWnj)Ns-@SbJ+vvl)UQYtX)p%&tR!!|;H<}GNGIHXRvrvG5@)*~Js9<rk1
z=NIw%k;d~~%Si5!BAWA6-SB7+3Nj}JH0NC6j_-VQ<AaSF-U6=kvq{sq3EkM#Psh5r
zTHbyiuzkQPsf}Ui^C+JU6Pw+?7}TiPWzc6CEb<VW^Dh|e+S=M0i`d2H#ww==(wZBJ
zxZ68Bdolk>y}y;8je<TW7UPO-q_@SL1isK8G7aj(BO>}p{t8T(9076dk>*p-ZB9fR
zFg|)Dac0@lrNkE@<F?=bUjIAAE@<AAO>40BPYHk5Ol~|IF@4C%G4QS<F}51|Q3x^^
z&(%$4ii%H2ie7xCKj|69OfmbV(QilWd`!Mu8lO6I20rp{*Ky)U(FrgOL+BfX4B{TW
z#&##iF(BZj<mBYEqHN=zw{#0wH`F_(o=FxuP5~Gjr|OV+6wdll#>OT-7Y6%}qQi5h
zxB?M9L7e)8=O#nky}~bF<WW?KZfJvPm?cY==t<-ibySd3E|8Q%(Te&g1pln!$^P@?
zpCM?x55sdfn<E0(qZDU_GmOYrOCFudH{<zpU6=Lr_Or7WQ1$H2U~?S4ASWj`aaC}L
z4P(4W%)B^s^+S#TZShVpqwCir@?6CLk?aBwGUW5Y?IUs7{ldajYR9{qFaS1g+{i}3
z1s*cKq&}I39a8D4AM1(Qy>Z(%uAVV%R<Lo2_|-w=UqTt1$mQnq!1T}UTenVmL%wVb
z{G7k-&;E!2)YI`>$^hA8kaN7Ki1*&Z;lk)q<A2VWa?9KGPyC8T^2EQ6n{v7LuO!y&
z#wGt8Q#HAN=|7>Yq4UfCIkBoGV)Z{^u6J_l|MkMb|IfX!;>(0JZstgvzk8QCOnpgu
zf^OpTc^5QzH)_pgx_pb~wRCh(iaJJg1&6{uP-`wG@|m6KEWX-jE$XaFpMCwRvBd4*
z*I|{x5f>!xYmACmHH?VVI-%@Zb*6LojdM>2WWJ@_ys)dv5IN1GM~~+6EZW17Nzp#v
zhEtAgH%O}|M~3tr%-)NlHfKr!$@Yr5&JMu?=QE+CA>r9bo;Im!{CCejKlHwM`3B6I
zp}Q7-{dx|gRS8AcS3xA6Fu8?H$HAM_%UBqsOTtegPZV;x)xzKQ807;_U{zTzhqkGx
zt<BO_bNQH*6p7BFhY+_Emk8-4muCgb#=rj#ZE3mi+kZj{E;P|lTApq5yr|=#%^_uh
zEeA*KYfjvL?|k&=l7zUg&qd7svMYHt<h|P?|9!e32G+QjBuw#{l|*zO;zqL{-F$YE
zJ)-g}{_4Y{Q$L#Zk}ftplWX-ms4&%*+Px)#OGs_;ru@HgVKH|1Eu}Fhr-+bYTU1dw
zz+n|MHlEDxUE}?==RtyVc^1XEq18*Z{qI%wC_*hH6bPeMNe`h;k<b!Rm>9Qh>%U36
zDDs!--d*W0jS>rKo=g<Rf3#2`5LZyIaN{`Uli1Hbk8J(d4@Zyk+aZ>{a_u(NkW}#Y
zN}TYZ^&=6{10v+AV<hb1_QT;wtwdvLp%=%5EM2-(roYYNP_jkqF#>S_XfT%XY9(^S
zk&%%K^$a*AfgC5}BPXGjxFJ@G6l89-w_(Rjg)xZ$<bouZhP$p^#=$@3?cHJj_c4|4
z4NuII(CXbeobnX1Q_B6y@Q+Wx|Bs+GC7ad@oxxPPocQ<?{I;~W%`#&QVIM<OU1DTm
z%<DBmjhJ^*R8v#iBT+_<(?R$J@8uPgw-s_Kv4vt3gCV|a2D?m0`Ee{Zvh0M?vKD$;
z+6oM4%Zj_;c$7xhg*k|b7@j-aH%SC<1c^jmoW*HiI%sK%78Y;TvP#4vC9H<=fC|Xz
z_<`<=bC{`$BHq{R<nZrYBspq{9Bz~hwV9qpEM0X5iaD7L#kgNO^xjpa4Vnb2i@Ye6
znQ+8Zh&5C=hmc*1w`9iuy~aZjWEpQFyQ;<2Bt7JXFuB%4iX78{U@Z$OF-|!nEDO*<
z>Btc`Od3Q0^>6G;`<)d=(`%SOf(>UWAsndmsV-BK2SVsk7$+nR=uuX_jaDb3a2g{%
zzQMsiYcKwJXE&x}?=)8W6}?6eqbS@>64T=G!{ihfWlww?^QKLmgK4<g7Yo3=IVc9V
zKLgTW)$-al<ESlQn6=_q$FZ9=?vVrFqJqJIF%crJiJ?#OCC|UwuIP<b*IA%3Oo_+i
zScGE*UaZ#=5*%^vmEYtR<gg#Hk+I=VgI@4=tQ~yPLIH0Z3)s-PR8XUo2`mSxjt;*6
zb;U|$=ak14Lhl!AfYITlO$WKu-X8a^!rbBC2Bn)yKRodA;uU0zg<#BPh}_?&!Mt{F
zSvJOCdn4Gc;JsRiwhhjZDE5k#D~&+cs}F4$l|6krRw1vvTpligUFw!U*Z$JI3cy3g
z2ZAFJ*}d<rh(Cdbd#oaOrx^v+a1RB_KP1e-9qB;zWJ-tRyf8{n0gu9nKoERJgz0ur
z>XHn+NOX|!`j6wToV~3ctTjOPGGgFwI{=O&z^63E0L@5L-#QP+;B-H?Djhy{B62_6
zQOgWXv;vmPiL+CUmryJiIIpLX3|%v;?%ERtrocbH|HR#$gN^MYRqq`ljr9lwNXP};
z*WE%(Pp^apOwd2$_B5Ci_ceTQ<{9l@e?=+J->i%H&9W>+Unse-ENxQ2ZPWIy0zX1K
zdGbBn!v6N#CV~H@)anfI7({s)F<bPQ^IYeK;G>feC?uhTs=x+B^3PnIw^94%%B3rD
zU(O2EpSi8(Ihy3>K0;iE%-`Nc2fBOJ*sSA$#!_uw6hj6!3ThZ<%9+;8gxh^XPd~O=
zq?-p%9aE1}29Y`r${`ZdjA;vq=sO=U3!km%c_g%dKZVQ?5FrL8EU~p5fAyb(k9oVS
zC>DmtOF|-X2G>ElSI2gmD=2u!XZA)jMJ__pp|wk!{>Gdlt0?l4c*=-bX&GgGkX<LM
zF@MAxOpNWt+MAry+^5l>y?uOapx9^e%E6t<M7OQN#5hm{yaIA{fN0f#(%L4MQu!fC
zrB_`-Im7-+kk?9SL;y?$`CqvN9CegoIy2rE(G~34B+#Y3866*{J+bz1<0foGhF)S6
zZ({Qmm;oIX{G{chm4G8ZLCnNiYpvKmOt}G4c!%A;f8VG?;>f@Tq(*?^Cc4!9r69-8
z$b3Zgk9qm>T>;~JAL#3FU0*?r{f!A27_Ra9`2+;m*MtuYnL{)yEGjyWv<X>M1WSxq
zcXVvVLLDrt^8NID{_j|Hh>9K?ts+`Ij8wBxpsan;@7-iGIiyQbKmwR^c9xikfYO9i
zQX&kN0Pm}*XkI;$*s%p6%Ka3i8&2M4tuLm_FNbL_VBRE_a^)K!|Ke;zJV;HTjp?6l
z+A@(19MfZs5jSTNStA^YcvDzP-eI`QsD>n>kcl!tVuUd@53e5DMxvTwmCP2tdw`s=
zU9pp8urgO{*0fL##F14<uVs%E(uyzOEQT>~Sz|2G!C+b4Or0(JHq$aN_*qXgUz;Vt
zwM^u+Qk-XO@fK%r_mzOsL7HP>o!=if`E!LAm{``>p{SB8Lo6OzP0|NHZL&OB#8e?5
zk>p5GBVTbn`2kqpL>b2?<xPsy-9n5$lAyq02t+IV^ssA@wy|kBk5_j{q~R<gLN0Jd
zAc_7uySARL<iFYQp~w`&cSVwkqM!NbpeZU~u+(x@CRf3qE22q?`c<VCQ5l7Kl}PxY
z<Y*)~XK{b$H$ta@+V;Z66=0F9-A{}vkvITi8q%e6rdj=m+Xy71E5^#tkRx08=*Yx6
z)K#0Z)H9IwlFB4v@CnEvge29P;U(z!%LEL*51Q0ITUYcfIAE`FgEwk;l5<kL!w|Vp
ziBw*^tWJdvH)@BaA?5`^Ss#-|IEV2S@32kW>fJa7v<f4@uMx{812`y)g@uJA^)y2c
z0vrcP>wE2|ZJDqq3uT_9;)&4<$LtkTvno5ZNRm4VyT==~4#V;|LF1e^=EpQilTT}~
z^c>8Y&;|gICEN@vr^xv^#3AGhP9a!(jW<^l=SX=IP=rC^q7KXbNW;M5C-D-@_;6nR
z#||hCEtD0|#CV!IQAPJ7WrO2^BuOqCjpa$bFy_vYRS4n99y*4z7HxhXRS*;u4~xGW
z$2d_j1Q&wA>l3h9tC0GLQNQ?_F{lhGsMf_V>Tv(-_JORD+zwhVN%|6mhBb%FFwQW}
zMYks$9smhN<%Nt%B}M_y1ROkp3ni{9HnlZC2YD=vl1CSBc=*Ni=tE~}j8ZUIpv)xc
zl1&aN^fJ}#uofliC=R_;0KttOR?D_IgFB7V=A`9L{rK_Yo0SQa|0qI(ug_gr3(bO-
zPHb+j4Z$9JR=)NB;-E@)aW0b{(1AcODc;DvJ7qR(65~Y<cPw~oU+A4Xt5>XAB`cak
zJqZBo#d(7rRudt;Ip%AMcS2*`xpSxYS)J=9Y4y&U>&3{>7<?l<`w^S{Lpv}?8FXA-
z+vS|~eHCS2gCQ3Lga~9U5I&Kl%0+hPIF4PCgB>x_eQ6OlxCJO0-(6{bkS@Qk?4Oj(
zd~9K0>_5M8icwyX9n1O;)nHWNT&fNGf}BHwtERqQynAlVkt0mmK^M~MVM%a_V@OUE
zr#A4){_`?<ZHaEe2pYpoF2`;mOo=Sy8*6y>C7NP?>6Zn?t=}!(jSW0FgEMx-lolHd
zjlXt^-xZ4t&1a%E(O~G-NXYa))i65;UB2p#t`q?=P|H;lQ!#*AF4Fb<6_i2h_QB7e
zKJ}2J#c)n!w8lTLRkgKxt(^`Id=ST8*kkr66-Qa5m^W*K!eLyQ+#$gW?`S40>0rN-
zzyJi(u&lvM+3VLOv<@tSW|~=<l)tO77jQV(wBJk_ISd6mf~^O=s|FA|78RFFMZoR|
zg7mY$XH0<(XW%}C*Dn{jnBk&PQjD{<!6`0-^-xMG$=N4vZZwn%a<~fSBn&^@V;n43
z@gB?`JzL^`KnhR2+WsFuCUP`7<#;|$Vf&Fg2jx8@UyFhy2Lf*w6Mw-CtbqIf*R{pl
z{%%<`<B(ZnX0>ycT9UrOb~3eiZ;qs8B1<d(c{KMTmESo6`%etCw6r8WT(x2a<BS#J
z|29GY+&1~+DND7n*>g>|NZ&QR=bmj6xu~(x1f7rjmy*$P_}?@Ou~hvJ8|1`xdUo_@
ze>Y3>s}GN)YCD#k-?R9(Zc+AJEtqS3d$MlbKbppoPjC9R(!5muo?#V1W{!!zck<yj
zoci?y+EX}=F(Y#WoHqP&zgJ!FTcZ`(=%_)_%Ooytk<KX6_dlT}Qucqa^&Vh3xBvV2
zol;uTAVNqbqM{-x6@`?R_AV5qfp!{7Lq<dq8X~1BX=yK^NPBOgQi_)5|GeV!{eF)B
z_vd(y;~6~N_x--F>ov~ve4Vd1F{2Z&b$8}vdJ3U#2Cjv^D*emFoS==65&a}qreuV<
z1{Qxvg5MwU^sxGE@mOLzU2I4>bx@&DqJKhso3YMsv-XFZQWO8w*Jq0xS}yFpDOqlt
zB`6^9uIUUV{wW~WdgPj9)Yt8qC<REMLrB-64qf_)YL@_2u#Prfz{vuyHR`y|_*8mJ
zd)KYUQm(ZX4MleW+yYJ=SX}w2!<Xe?JRm~tY!3(uhzbI!M_7Bg-S!PxfELR4n)xj<
zqIxy$9$+lR%YFfjLasl+2Xg&M*@Nr<HaQ108qmb33)XvZWJX4}0S1AM38`bybODh7
zS@~^9qg$@HxERWrkPp?}DA{~`eG|u}l8Ox~(CM9A>{Az``G-{Gci4XOO^iY*p%hzU
zq&S27M7n5VeQ2D((5bn0^jC4i<wJ)KwP*eQ^=n0tGO!q*3)Y7)0<m$lb=avuWM4R7
zGvFt0li$-UU!Fsa(D8}$D?c8@+AMy}X=B0AC=<<Z4DM?tVJa<urnKV_{0R12C;x@P
zP-il_h>D6rrf)a!cD<b@o({3(C6J?C!Jp@thc-TWhC;ErMux{<bYYIf0SB2yXDM2F
zdnMfA<06U<XnrCbb2<@sUW4I8%2kGY+Y{m;$KFpF<w5dCF-&MmQpDop)W1G=((z}f
z5i^(AsH1DV0(xG<<N|^v&?PQ?w?#6p(%tj_>;@Gz;3GcnwK(PV1};~8iZGt6M+}N1
zZb~Q*>d~4KX439HO_35X@?`Ky+6aRZLl4Z>l8GpBi>kE<^M9fx>-X+`bOMq{t-<x&
z+#@}IZ~UmLu}Mr1i8Z_fWM&w3Zwh9WP9jC0L=)}+7nAP*8)}H7o?<OTZFxp3DZ=2X
zoR>O5ga?!dBp4x6K8GQ5vVY=X8z_)|@0h@uYQTs1`9H7Jz~E9>Tl>N0H~htqhv3(7
zn@e3DQ;H#E@HXNiW%?ZnRY+<&XZsTI*}h|1x)v~jb@ZNk3*vjHQHW^s-YUZ_n``Nc
z&YjFy)(Lui@T33so}2&C0_^L$SK1?hE=9P<GNsT!(`+$1I(qOPbrBu#jd5T>ItkV2
zGoQoFyH06!u}M2zXF?xdvtH|uDj0N2p6*{^)k3U3l^xnZB4NW*9>Sv$O2Z_O2d^S*
zA`e|lp9R}PT*wtQp!Z5VxstMJ8mI)6y7~j27&lNulI7gtQ}|Lp*$p(z>b1HH7f0cr
zj<O2^QA`OsGHWiO(B58%k-3)D+&9<mK7{X14LOty<Mx03y2hGVzY}x%_UsFgs)if8
z4e$}sE-IKbW7q!GMwiFRM>3rCd^tyDi0f_W3>nmbqLw>_cHuc{-X$sUqvtuOSx{pD
zA#q{WS_-dAueu(Y5`puC%;H=+WPDHH<vV~EY=TN@*!EKKa?Z2p_yA3!Rm~-+&<i+W
z5PkIoOjL+E8^APCS`qeYn0=XAI=I8`y9FY_n2R<>&E6nA)&3OnfAb0eTkwJ7Buqa+
znwUyQ)kBxQ!+Mo|6HWsv;<V;DGq5cmN7fC}Q3s6h4B=unfbbwbVuC5zhY*a3LF5GL
z)3Z=!<KU4e^2YgR3L1F<35jO*SW3Lv8l{H9Z3!wS50voMCy>JiK<TK1g9q9HQEM!m
z)^q^V{)7L#^((hhr8>BUHIVGMFh2{;=SVHQElkK$Ci>iwf>~Q&J!C+eFicVt_b66Z
zFpQ~{V+X!nT9>}62=>nyf_F@<gbi~ITa(>iZXwR~@=QC%v=d>Je`u4(_#NDRF?fFv
zZi*lkaZwDiyFMef?3lP79NYva(B6Mng)+D%)o7Ck3|odEJ0;=+DCPJGkGwctAp>zv
zKHkLTXkdm~`Z5R5VuSuLj>o_@enpRr4la9un+}l~%oLsyRU-K1?<I`F^~9q5W888z
zU${4lUFa=4o*dVP*g=3!<0Lo~k^kLxRJUm8V$PDPx8sc#tUnqsVTm%8PmxT>l8ZwC
zI?Rd&pmRG;Ix8qM#_Q{-N1wo#Z2%T98ft24IW`73PDH?tTp_MT{8unUo}+c38|?8z
zH0U5Wv<f{vhzc4VT>~OY96D=4<)L_GU}CC=V|E6#heVMFrvxue2*6=OcAMFO!k!J6
zqHzR~K{)>I7;^#a!VOa%4-76z;v2KdmRx!@$|Z&*6-$KQ|I|FQm_8I%BvF{?gHaEj
z#pEE#tK@K^*n?D41vjUTOac{pd6C+WM7CUE$|A8WKKnj|kFas$5ZVYp(FdZRn8FZa
zdQ{dX_y0bB(;W>Diw~d~Bk(N>y&1Gsp}_qK1r9rK6shE1ATFkoZ+`#&mX2x>CgPyg
zfLc-v^&zYw^$}hpL1}B^PIbHEnbhDI5U`ZwMsofBQ-bA1>r?&2#M*X6f;BpJI5us^
zHSnlHn*ro<=IbLnUPXAv>`(MUk#lfv^f3A1z!kZ6o69?X_)o1Q8LO`(b{=1L2wcB7
zLtCFizQ44NA*X&XfkYt#iNg`njN1?_fdwKMRZCffFPbF&`P2Sy8^E<GqE*zv@qRIn
zq?tk}I@~?f%@5E^C7@?aMB~b^Vue6jFknk`w*Rav67eR9iw?k=<2EwTqmTw#_28dp
zM?d`=FZNzcXk_XHEUFkXi3ZZ@5h9vm2njb|Pob9?!qtAEvcIACVh#a=3BF9k$oQkF
z;8`|G*vk@kA7XM3b>qEeXG9Gmyaec)gdc=iLsc>`22Jxs{Yh2)YiijycL2b|gN|V0
zFo?rhzD=P1q@*OaC`;7Tgm^?jezbby-$RBvK)Yxb;MnmHGA4pE^kKl^O)!d`dBiHx
zxbhA>3E)onbkem0&^a-IKYHcLm6^7#h36~>r)9~6DxSy^e}Lk;%oDeXoPFH51{^{U
zXl3<ZoxZk!2QIjKxB5R|ym~MTSTBJ>mb`mGEv{V~j{;N`<seMki}i+)X^9Gllq2BR
z`@a1nJBk)H1-pR-#}j=!zO_XB3>0ewmw-3u9w6WGXi#TJ@qxOG%=ktowDci#PQbHY
zDTJtg$-MyDi7{l<d>X*Q$KP!Y77!Wzv3eIK6?b4z$2ukF2*yi;aUvkbCqi<_<3Zoa
zLV8w*V;(fo26ymhGWTEJR!KE@{NMq3&DGWjJ7Q)fOE?n5(m?V4K4FSy0ur&QX*8LU
z$2k<h4+2<EJZbmZb?(gV5CTVwBMb241U?FRzc95BR>W<O!fWgFcnaND!mf`nUYLK3
zCiOu`OMIC56hVn>clv>69pcbf%?Hs0MtjOf5b+|MK$D;r(f2pg%s%+<U3}F}_STWy
zs8%pq!UzQ<#4WkxoRAwuWZ<N>AmclLhS@XR{6Iw`Om0^s7T>Wm+%lf+`2{0*swU=-
z(Doe*fvP^&e5wLQ3?b0Iq|Mg-zo7Wz4gXl`qV`Y5m!cC`IM&7^EW{&AN4mY^x`UyG
zC8-$E&B5m9EHUl`Fo$X!w%>_(<@+wie(ClQ6RcjfO0BmKW-lfouaP#)r%W!s=bOQ)
zC2o_%>@P$mAV1gnr#A7p8UAn3UPkZV=YQUt=G|mMhD3quPU7Y25qJg;h9S147R)TE
z5ix=r2X={L$Q?f9ieCQNeDpXcynv-($(`-njVdY;W2guU4@n(^tO{cRcYJ4L=!N$j
z6xlOB(yPTVn_;!<!Whbphzwf$CkA%;S}2whf1PS_T2mQyxBjoLNh;YshYg?vx1~rx
zjL8F7vdz3?b5S~bHXbd9hY>A=O$V1F(W6W_m_*yTij7Sp@xI~V{?#6Z%q%RH?GFiP
zPfw490Jr~v_In>ew6h0_KQu6WBa1YPS`O|0etx0hCYqMYO@9i-{gif|hU*&Qza}tH
z(#(^V2vGzDTP=_>V5dAJp`m!bG_}jn_(_t9#`S{RDsgr5mhe}Bvmarpz`;ZTEpB*n
zn2yYqleZ`t!3F<(_c}>MfTLO%6(Rs7^fQD}gzu(+vr#9gHAP6X1jd>POl8?QKJ>x0
zQ5=as_EU7g;y-E8bZprYgr6<G?RvS!`4Yw|zrWHWLA&<IoEz4$+_@j5PsEJ+CV=k5
zWWNL0lQ+TS(py$X0_ds5L{B2X7c1C8j`aBnE1MlNWD6+mDe(BZIRjtQp40F2M1A=P
zY)I%si1)S)IAlM9SdHi^iEjj^t^HXxr2wVCo`)B|w*71Ji+*bD@AkmHr6q6uW`EO2
z2Y3kO<0=u4)BIo4enG|y?v=Z;K!)J%yWts;<PW{@)QwjqN(+Sd9P9%mdrWd8t&T(E
z;r|8vF=3-0B8Jf!OcuPr0xA%UB*P)hLs*qSd~>UswgApkiA%5VL;JHjp>h-cXpYy2
z#lh+~?=V_|AAq2n)R<)$?*TBk!z3EG;0>i}<uVZ_Sf#)#B(X~PXpa~0q4ua?(iVRG
zwsJZOvJgVH5#7f>eN(0FX$y-rj~*;r<V48|kCv&QPetf(MhkqV!61-6{er^iGt@am
z;PoG2R7nZ&DjvoDubhZXS_MHFAE<ufFo|QdA1a!G7jcmU%TJt9EB}G965O=}z>)ll
z#w;$^Q!2UEuQxDXPhKJdOyh!CMR~bmNNsIxP;#n4JqSX+7aB5Ah!>Fm%I)iLxcjUw
z-5WOkNob^28{B$=*}f2B5g(6C9DC4MuLoWj+7YgG-|nBdgo~4x$^X?slHTRSvr*|A
zpn_E5?lv`D1xa*rd_J_P>9LCu(Y681{Ce_aU*-o!cjd<t>bO9t5;KWy6biy~pqf8a
zRV9s|B9tCkJb>A@L`1Q(koOR1Ny_!2R%PN#C>sbIUmLYPCE~^RtZfQSZ8vY-a`GCA
zKtE;P^}kd>Lpq#7$!rF(QFK=fAQ8}u_Jbd!7?nv_=R<y>(8O`WEEb%JpOcjWA+Mc=
z^@#^BhL#%@IE|jcSXvnsGEob9&QItJcNLltKNt)b5`dOC6##?NK>^UN!~%flNXXJY
zm)O{I;Ho0`S6&<+YElh(eZJ)tTQFy11JE9GMjl8a5p$J7kbS(g3!&`s0Cg3jVrQYv
z4NMb6S0Zu?F>jh(C|UKVYIBx|i^YA{zwbEOHldN<8aNM8yG@{Su>SSsy&KR-RQo6t
zQ_LUT(UM1~BD<T&l*@>trS)+%V8mgPkfs2$3W!M!l%6mU8A50#CJnr++q{$25UWUJ
zA_M~Ab!@Ua_@P4u9hZ*@6(WizbMa6`g&I_#0s&*43ghqS=6M7c;(fFCd~-C$bDBM_
z4WSa`Q-o|ebtL%j+opJL+GEIV*#1&vRRj=CQext3j;Wdi0ZP0?mw<2-e<R@u1-CK6
zilY18n+Fr1nX&Yyh%J~1wTV-<l2juB(J@SvAAM1;Itmd5bwZd#8~V+BqDCXbrDUQX
zD15_cPbo1Njnx;8_*g(|2O`Mb<_kW~CLL;3oG7wE0V2fq$_GUoi274UX@j)eJ#m*4
z<T?Yl#oapJczO?nj3d$v0LgU^d^!zs;RLZFfWE+9SjHK#X|MI3@V^SimwI>K6XW4@
zzp5(KQhUR3@iD2kT~M%+Tzq6(!co6ypNk>7nPA#H1vJ~ZQ_2X}grkRAV#~m|Ni%6Y
zfguzC{0y?;`fBZ`v?B>JejGa;d<0UD!LEM^vrhjB5M=2qLq~#;McND~A)cV*2+RJX
zua0_#n5-|OrWQ9VxvJsCPdY)8HEcT){$&jUmo!#?{;{bMGN9|;O?fN+=WjQ?n;zre
z{_AgZ2fO{eL}mjVy;xiTwGo-pyLa#OC(azRku9<|rpf!N@b_;=imX-eZ~yf-@ztZ+
zu6M;LooOf}$l504zB<y~AV%##y$bT>KHwd>=6^n7`<59;hXHSgbX6M(Xq?!>VPJXW
z6qGJY$sa_02UZ=C=7B}fPsUziLsi*QqY}MxbN6zqYh-?^TI#oQ&i$6lxGKbCBj-G|
z<sYz86To(eIUZ>O9Z<u(fZPzB&ecr2u92Z%O9$4Q6L4@w5g;A11VYOtq678s092C`
z7qvz?RpL$}4mKdcCX*zHdxOl3Fequ??M-wr5dRPT^jbWS?zZ%fMAqTMtZ~65<$a+s
zG=$&P!Ft3;S;u{%@ClbHd|)fdRfRJ6!iWMK5JQRNr=>UYU<H+M_bFno15Qb>qk6z$
z5axWp4k?UogJ*aXLJqIi4@MufQrr3X%G=H?y&w^gFitmvDotpg!j&8~<s03Hc6p?w
zD|9!i3jjv{k-4bVLDshkV3Ka=ESzFpUb0OSx)ptEM(sSA?LcAd{!bF~_s?F3qFm8r
zx{ySY4<7qql39HG?=wrqGdt*nk2&*9c+SMp!d}PntHjc8#Y>Y{Q95?)Gbu_2JQ4a~
zbO=4gC?`m&g9CpF39Dc(dY4PE_Qnyx4hRF(nJL%eXy!hMR!eOq^SVd;W|_FejuFO=
zGx3m(Gn(z`XTtwpA#cqn2sg5%484^$jQ0tm@vjOlZzb*>BoPpIEbyUrq15$OAh`V^
zy%t<^3{w~~h$>|~)oZ@8QtL@(E)W9;^sJh1Ou)sXU+eV?T6!7T6TgoaJ;J%imuQXY
zRn*T0;Wp{%=>T0Mh?aqL8~Z*`&6T_~D<w?|WJ7z}h?0zS!o;llaOe}#NMXCy>DXDq
zPyrhI4<=JDmP(W7+<qYdT)|dFA`!yO4&U|IFL9(loSpm-DwwanvU{ID)4CXZNpSS$
zt_6$o-T2iO$O(W`rXQT{rUrtngktev3P(mc@BqP#HJ1o93@1+aw7=RWwY$rt=e^13
z5S9<}Dw4xThT=gVE~lY+H{cN2P=KCxqz!)1^<4{-`&94KOozgY?mL>&xCMYL3DMEA
zVCbtF6<z=fMOGscRa}LzmPulUNJhZDy}h{-{#JD^k18xj*D$Yzk(usbRmUNsOlTwS
zv~iVGbNZ&Hn|p*lpznT$lAoB&YT-Uz|2Uf2a-KjK84d#)gfvC1eK6^-9N6U{ejeF(
zG17)fk&9hIdG&Ki%a$$f+ya}kx_*jmL`{K*JA5cX3=e?H!_CB;(e{Zhlcn#ldr^ve
zbOCMZ2*jJ)!$3v=PKzFaL<0_L|Iv8XQ-XzSR&CrkTrg}ev2Zy?Bh2bub+vPsEm&~8
zZA$c8i3k-qGn_--fs%8~aX<Ol-jYRqRCYiQI<f>`eK}OKu8{agJK*<RItVh_d@A?_
zuBuhbt5_nvCf);N3n$q&`p!0M_Kp0~4^dnv1e)tT-DMOnj;L^zLP$`N^QBb`K?VUx
zB&fJ!<{rU6@I(a^i4p*}R9H34_abEDxaWV~Fi}R85KN%zAmsUVql}BsF;=39?)K~P
zCDdB>8h9aBsqT+p?BU^tK4UdXQBscMBmosfm<?HAa)HQtC^BO`e#@7R<yEOWbLGd6
zyF~AeIs?=i>6ZfwblH$u>OCe$U>=GF2QOYAM8}P}1q<v~Dz!Vwjm$$c-?wQoUabu$
z=qwH=22MvWYGrWtHRhr5=UBCB^NYz~1I@^f7AHMD59(}vpbVhSy>tkL5zrB$d4&k}
zZig*eG3A;I){|ZRL&RqkCx*k|1IGeZPrW(Z_Uo;Usi|q`CG}vtSJ+cV6e^@C!dF3L
zhZBQ|scYO%>E${lLyn$E5Pgp>kPj=IJ&Ldd$}QsE?c1xSY(%4$2ISl2Sna&OvO&(d
zl7u5G8#SD8e)1u1!(Aa^4B+@@_<4!L?UpM(#c2l<(QeKraI0RDj98j|cIh8e-;>xd
zi2wc4CHf%cw-)K}NcgSy;WSclha9U(Ubw26T3NREecTfBzA#FcA->pkS^OA@YNxV;
z2~0Q{a&QTas_3Ii{hwungr6hgC~O&M9usY9J%QW^{y9$_kgV};GL@2`Ntp-g{T;Y;
z6!HJH3)T9z5qqJ4h>vu~jB-AKLK9b<W7ex@tah)@Qm*yt4)xXvA=nl114PQa(Fu5r
zt&LQ!#H$ZIMLuByxbH*YfSOn91=*xS?~-5De^G1jRei~-?4(5o-<}e^1af-S3|w|~
zhdyHz%9ce{Tnkv9Sdu{M0Yl8gguEhQ8NxohgVK1{X-LC6OneqF_W-g+^FDTYmG-C^
z8yn}?>{_FAE#0U3@ovNEO-c&nN007JrOopLSIEZB9t!0UyDA;UTL(M_^37#rMgVHs
zF4DE4mK09^B89^}C8u_-CiyUWhZS%4a!Qdhs<*`UeVCE*4UNtOg9_$F&TnrhWC@nL
z7}Z<#OHj#Htt70+=4;@Sy^mX?tc4p#_<`uKuP|wtI;0>%jd7llPjCE~N(I)?M&(@D
zu>L)H4M#enpAW?dEDR}xiEvC~9-$E^_h4*-)K<`;AIs)swf2Sxo;$Y!J@=1-5?LZ^
z^j;iwDRRdphtw-t!vkzAp_$PVL0l3K>=Av)q{BJHk1ApfbNSD&;~#s;La+qLbllSt
z67--AhDr{rpLUSVyGX1M%n)-{aloWT_Qkl4tPPskcMP>G=<ZMbdyobFW8PEbG>x7Q
zc{L8a6vnUqfWdxV!B;q%grxbMaD0bZq<QaGYT3?WP;ihSs8>Gh5ZbowD5)tSfztiq
z3D6uN<2%tD;EM(zvzDxxrEztX$IBf(dQ?zMOcNj`*~uJGW+}A3_=hPzbJ1@EV8{&>
zA$S0DOxTB6Pjnhcc8Vb=!i>+S-$4ffEa)s?*AWwb!ou?@g`EW~NX*>gDrqRutxH`D
z1~xH0LX;OThKUz2u_Q!yEUs(R0<krjY9fne&t#^z4U_hP*mq#<Q-Xg&;+vqW!=pO^
zLX!4-wILdNOrz~gOD;FxZ(W)#x>&vRR--TCt)lU3A__a?CBBH2m+#)aOPmm=0vsUG
zHSwC)0z4Z{#%s{86EX;yinu}&EjB6wbXmmGflQg=<i;s2$6JSW6ybUYfoj#E>x_Xj
zyaH5)Py$7!6wFw4faD-*?$k=D%Iph$ADEpPp-)6#I0WFZo>-3ef7nrhZ38InJ_9QY
z#RWsK1WX1AVge9O=&ZJEG27MaAPICBULV*Qd(w7Rbl+`3u7${)@V`ekIt3kB<Y2G8
zgaaJTtZ>cAYohWvIoR)l3KvCj0}2jD!e}6bf@-<fVXK3p;WZFt#o8E!>sIs6#TIq|
z^*B^$`X>?V38uOV|4)0hBZGE_RUsbDa@xp+g)yM0Rqw`qh;RiKmx<%eIb<K7d3n$d
znN+j2nEI=Odqa@X`;%H2+#<VEKg>-@19(9m)j&kdh+>IN$B@efgGMG}yB#)8qv7k{
z?LLtG>%ST^HKY$-lJ`S9k1o$Jz*rhoQgA64CYl4(9su+1@FHrsopx2O=l(zHNp!}?
zHFEwa)a*9a<BlrMg~EQSmI;P}!k3cCvOcmMhWOmz!DB2+3hewbgb_dnS@rM*Qmln<
z2t6icMsEW%(HgjZhsZ~;xHlI;OWH(}kF4wgpn&rvnBIZ!bOKEf>G#o5#y=VCX4DGb
zXsAE!ZXr^&bO7ruxLI5Px(yc?-O0Fwr>~#%6J0T{qSv2FllG~lWerKIDBf>|aTww+
zcA@E>mFmXi2Jzpn#K|FAKY&|W2npdC^jTo^7^-!pE;-rj^@ybVB6O+M;fSXg=KQLr
zW7)abbN$okuGS`t^c*|5#W!!wz@ON@b?eg)9>_F<#m5sYKxUq?wbBVelS}3uagHZ7
zv_wQL=pc89-uv67XgvqVmjVwUyFkxETME9n@+i!%!J7Di@Lt3_bhVdjn@%Q3Qo9no
zVK3qNP(a<O?AJJZ_H4M4;giWzP9lgBRv{JCorE7opL3s=OoyWc5lWxO#<8G@U78L~
zWyo|tdUjAz;&Ta%O>W_F58?cA4Hlh~`;lzm-KRBZu-;-*6g+WG5IqDW-tfZWjp)2V
zmRlZuYydsz-yH$ON$Zo$;^k%1cmKY6LL~}0@HYp#J-V;ZIl%iU5xI{qa~>E7*<(5t
z1@VU2)Nq&AVuwdAkc&tmc9ef`;WBoEkiO%JxdJx+=!26R)6iOdQlc_r2Urlix>flP
zU4+f0QvnWJ4_jaE1Bb(cr00Oe$qk3$_Jmw${LKd&$>vp26lufg1c>yKY*&Se7BLPc
zY%@7}XaivRM0|LN5!k(Z9L|L(G!t;3Mr1IpQ13Ada(u!e90uWf`14C%@7N;Ckg<>H
zFbYKCVRBzk&;*Y@be5KeraoxhP5fu5Eg}$szb&+ceMJjFsC(!TXY^T>OAB4BoL*M;
zhjiH9@33{IE6*_7i6hc27EG51(-+7;Qb`;pRCWjvIicQ5tUpNDK_dJ#-^2lwDh`Wp
z)I!KJb$_Ewp$xvp|Min(0njvt7P%#qUogAbHK~x4N<%|KhE$=xdg0K8U4Qz!4`0AR
z1_lzvt95qoMU0wbJ<ZW5;b5xYf;LX}n36>$i-FN^1wX4=ijmGOKe7o)9?sr-1Jwp4
z{g+FTpdyH7f*_3Jn<QhHfEQ0*8y3R3$;XCs><;~=w`m3udf;a5@g;)qu|!(cUiAA~
z;CwNk0?dcVP>B~4*sA}Cbja+Z<J+76FWS=n#riskkH};U(!<h7&KNrlrJD(Fge*?x
z#z6uJ98>QEKN!3rH^ARkFW<Z(t~baGXJTj3CwyjX(7Xk*h{$;cJn>y55*Y@nR$<NM
zn#RbsoXl6M4G(0G>dMMe(i`xV?07E-!NLq@2_RguFjUg@*E7tocBI=7GByGej?in2
zH`eI{Rrc?2-dOU=q8YxOhr!c@)D1XvWntcj@P?ShuEU-xOq6w}bN_@)fdptVV9tn>
zpr!Rtqcp%d2FqPPxkW-0EeJy&%s_`q9i~t|5eqkTk^^9YG=V!2-4W8QVq8}u6cA6a
z4Nsn2ykNmyDR{ob8}(Isx?uY@>|p*jM5h$D&n@xTS|@&77qH^!u$vjRw1UA%=<7d3
zb|)<(>e)u7w|Wegbes{(4IkFxIn2vglTbAG-kQoz9q=N2p<Tm8O|5+cxZRGSJ~$OS
z1MQmzNQf}}DC~nFYGA?<11@wUTY9h)<pkhq`~jgxJ3yxhE|19UILLd&T1>{oq4Sa_
zGEdx$>lvy_N_9w6<7mR}uU%M1QCsb2^3Dl60db8;_hD~upX`|meyd@lbNdr0E3%sJ
zC&psp1M>@sR^>@W_~d_{rS8L}B-IY;gr9o%Cn_o`5;4Of33k*&bK{(zqXk{mx@DpV
zP%_pp7iSxtxt?%-O&VHb94w<tAI0CGvTmPh`a6l#04Z}UnQKSuhi1!uld$3MmnaKH
zX8+dC89-~zsZw#8VEh2}VZ0E=n)>T06oLCl!GL!h*R6)Uo}FkmaOMR?DTM!mgc)7F
zj&DO~%Cm_Rf~afUUxp0s#~KAJfoRjPCPosd7synt5di6`msfSP9G&dXDanhFw>`an
zS*O*s*N+ZY2hE8N+R<;F;Z+Zr*<Q&WI<!V^nHlGu6EwZrjJ<C91}_9IKC_*W&a4-j
z)J!(Nt~;SC-;?1nq`??l5MQxeL0#`O>#EbDNqY1xcf;HDMrMz8x*xb3emboEy)u9G
zw+$;x+ubca4_~w#k(zQZl+g=IL-R%{0vY!sz1=*m8?E456whfm-|a989DD_TbBcF0
z-wgn$WD>B+10&BBK$S<~A@ytX-N3-_i_io00Bk7%EPD%CC?P6Y)^he5FxykuUi^9J
z)HnOMeaVb(GTnp1W@g;Zw`J}!br+;aIQ>{lBiBuHfkRX((bu=ei0`H4iXZ!5Y{02h
z7aMQc#~o10s@V{Pdd9cr?9;R~^<<8Bz!Gvl0eViu1Q~|r>cGOoC)@keB4@R4@tZf2
zj_W?}w;lsuorc1MY5m@vY{I@M9lG{B`uIS`>mWFVVEC=#MAGiswQKk4K{tFaEbeW(
z@rT0BtOL%sVn@3caBdFV+le<J*WwESLE<kn9XjV^wn--6(j2$jP-4A{3iO!0b7mbj
zJ=23vzm9N0haV_s$GHos>mZCFr5_(~UWptF{;n9Uv<Qm-!qD{Nv1)E^ZdsN;fQeC2
z0Dl`#-46@v#nUgtka@#<YZ&~X_DO>Z!!aMs_d2(H?yL@{NBpUG0s{q%*WEnA%g5&@
zeofCrQAOp5mDLUqSBG1LkOZWk2R?@#A+3k<w*g#LCYS9aeg+%cjaF0*nu2j-(3W4;
z85Xvt>d`(Hh#!K=N{?0n-LG%U$jFFKPA*5C?SpvTi={%z)n`IsjY;|3$0-!cqZh)P
zZ74L+eIE1d7<es$RZ3vRCa(>&zEt4Qb}-RWlc5+&5d?-~*zwej+%(+47vVKi7nLVu
zFoD_q%Z4zoFq3gg`kiz`jX(YAbo66~-H$%*zSOekT<LG6^C)>Zjvl&Wz9;-P0`{E>
z+jHlxl$&3BcgngSd*JaiFR!Y9<Fi>d?2PgQ5h_dvuyX5}HZ(Mt+2|M;Fy<R~CH93M
zyM1OIKFQhh=dbcAVx=8+q<(P^-gJEWSnJ(0>#!}T!c><-LHxT`iD`9V?gIUD$>!f4
z&E{$H8K3=MZ(FhK#*wX4Z4!O1ej(-N^j5F*24!gEyo*h{S94!@d#RB5p2_(0U5Q_*
zQg>EnBMUazJA+orhGEA`xRFkL{6@Y%=yTH0X5wK<p~-t7?Vj0qnEqk8d9kY3%t_@)
zsdYFEt7xc(hli(e$40?T^&vt|*F`N{#Z-%nP27g76XT_0bFz-P9fO6-<%$q3#-O`1
zgI?-o+wcQP#~tWCd@+!d-C-*Q?&^Vv*)kwpD=6_vNo6RG2zBr*HrA}C#1C96<22(-
z++m!;Pd{HFx-mbnKOdd<=?cHb7S?jwk*qOA`prDWrXpo?vxk5yp{c!!UX{jBC+rMt
z1kIt7++7n;_~OO(q~X(gN8H^HAUM9=$`HJ>QsVNo2qsvDvU=UWe||#V7XVi_znXIX
z2$hOxfe)wkw71<uM=70>IL<i2wamS9TjeXR_KMc`oVB!5ZPROpDh_aP;~nh!?Ai86
zF;slfX#&)N8OCcU-WV?I1IX#85?2cFwcdLQ;;XlKyf-k&athghy3%C92d#q{B8xuD
zHUUgrPUZmP>IMFAR9&5w%$=U^D%gngf&CL2P3i@YC+qK4rXMwGN*BSI1;qCj8~;2q
z38<iMWONh#E`zLPb}oF3+CiA;rkO7v92~R<w%7+jlWyjDy<@5OapPmiNR`N=k1%98
znstd|g^zb_t%f1wAG=vcmgOJ#&SW9vU(jtYF^UV&gXW?m<)oh8HEano!?&h>;2_^1
zbF8zy2#wtLy)=_Ld{rOz@bJVmKXomdZ7N*Q%Ac>0SxBo8WkJI~4Y>0L_D7jxP&fX?
z3po&wjfV$A(ZZ5bgar5&(Km0Ialgj<NFg1~ghPi0A{y%JuOc(|f(MdERG^rmuso)y
z2w@)M<`v7p&XI$f2c1B6f0#iYzr_$4xb5)Vf<aQI92Qfr5HN)cg%!VtHU!eh$sRw>
z(AwJSwpv2%$5^}FqlXV&-k;r|KG`-o2|GoOJKxUQ+8(jCwwC8Mutuj^0imD$kLKN)
zT3SzHW0$|$S!$KRg98YX@EC%Wfq}v6fP_8a%4QSY%Ow+8p3bL}zzJd@xF_Y?n<$UT
zbrh!QYqsp{>>xXetJ@?_?Fo-=8ro912f@v^puR0#^`!>Yj~1C`(Nz|!^~bTuCHm>p
zt)?0KCWHa#Bxl>%*xU@i8~5xc?uNvMTMr^teGYwV3EQIP`Q)`LbHG=spFn8p+n@sQ
zY`SwsFIheZYzL_h00(1&lpFHOLOkINY<Gb)VEx3zgz=PMx?YrwS7%~jO5DSTTohUK
zu%D}^szj?dZ{11_MqrosC(%)y*iyvyyd5qW%w(oO)wcqCUE^@y#CW@njScnJkG`8c
z#}r<0U&t|>Yk9k_S{8GEd%ACK{b2c^ZTMER=lbIf`a4C|GOZQ0V1m_QpR;RHei)=b
z-H^C#v9sL!$Sgzu>4F>B6i&_TM8r6>X=PIdQ~6YzG~d74FcG!sT;=cI4Z}`!^S>Q)
z4CSJpvC|aW1$U3|hn#YJnaT6VRjH=OmB+u!x0f9^kNpEK+|PoCba|0<A0yc{U1;w{
zQl+wmEGxp>Hs8}N?fQ$C65sGT2=(MzCfZ{mS3i6>4$G98^NHg;WDT;fTMEXePXW|-
z!PeS(>J9yr55E@~rmGi)1y5c>o)yNP`abm2%zwH?Wn^UbP&3p35Lo|fuT$<uR7i&a
zKG7VJ=jieYm;H3t(($Eb=u3eh<A#!?m6%HS_1v|{IzxZnm^LIL;wB&kYD#NcTZ4VA
z=roLB0~$*QG6n~&#Gh>hQPs3ZZk0WRn%Ei1>;iCMG(Bp*$~xzxMJZ(W)D$S}j}(2w
zu(NK?MLv`>-zNAD<<LB}zTMW@xstNGsnG{ly7#1p1{*My3n=WPvruy$tWc}@TvO9?
zNnHCSfSXf7-JxgJF*7sAr=*YwD6cMWZq5Tx-{t(V`LK(tkEmXHEbvB~&fUL|y#JUh
zM}B)}#mBGU6f&fIcHL~V2W=%d5UU~s6B9tQk;7CmV^7*}Q_+=n2MMOgV!2!^XQ^%0
zDYW{!`EKGA)84XcYoRKvo<!AE23=4Zc3PdbwCwX=Z;Ny!Yh<)B(xsOk+zLWLOQN%#
z^TNVZ;o%TovMb$q3eFwyVmAdVk&S}4Ud`~up`I_B<mKh-b?~zSkp6K;<yKwgPIP6a
zr6%6Jkx93ncaAUKbo$wyGB`Ap1}MdrdI&&(Io=5r_a0JvVhWx*I@&kMKET&2QzO-#
z4@8Pg$Ww~^7&+?|w`0<H$K21w1z}1z0(W_^=lE7i5d<6!Ho`ey*pdU-Z||&ZetnJ|
zh;99_B>JZk7<bPJDIq$Y3YPXqmqP=&h@`RCyklxV!k-JIn$)*2xWfjI=Q3<&_>uME
z7f=m*h^%_ySx^py&liu!6x!GaXe%MAq&|3%m9<7z1gh}0H;*`)hoi(h7E)&XiHl8v
z6(a;ikY1B7*>=$m0>RymgPN&fMl~EiXf*Wg5;IUW!7X5;^sN_oO-Dz^2jbRYs@H{M
zt|aVhDE_fgSzbO(<+nH3j2v?4DHKFtZR$?20jzMmqWio~8=kvGrXulj!jz~F4Md+2
zgrRzRQYHgyu!kiS;tYIo%uqo+5Vc&1STWpiJSGw4mN`B{bM}R;Ky`1SGKMYWlcXdj
zz$MHsw7Owuk_>a$&;hc-h-<_-0#aNlG(5V6p3-Dw0ja)+PG*`a1x~8Q`JTuoF6JU@
zFDEFR(evk3G=7qL@j#eQ?t(mr!j1L&Rsw92@R$+f;^Hz*Z$X{q4a-WD$4s!llIE6~
z0CLARnVF_R?~dxhyC>yP2rtTXW|)`dyA8`z-&xa8EWNx0CrO|E^i3sw1m@jP7*L9k
zU-EXG^7{R#s~anB^Sg%Oko6LEh-ddiT4v_n)V=G*EZ|u%_*2u!$mrhD!}|C_&><WF
z@$*@9|H(x>EQb7o-*bI9OS-P>jw1Q!>vQQF7|c%&1=B(@w|eGy2u*GW_xOFcK{zuv
z%xA{N^6~p#(hD0yk&S%A_r*p@N$CRCB^@=@eDVic%+H@cud3aPlO(4)*%krJ$5H0V
zv{{-iJ~bseo%vd2f6%W$T3U4u-<4P0Pi}l17DkILAD`L|jctL_!p66yzP_w4R6-P|
z$-%)PIyre)>)|cTfR87R&&&St`*x6f$45bzlP6E+&eu-D%X%frfz&Kg-4l%NnDgld
z2yiM}NnRc9H>8WgVDG-OR#u1bxv;p(2X%5{&vMrCV2pZWlgH-m+usj)X0;{z7i`?P
z@ny^T^HZOz>3zJBi!K9K-(s^hhzC1*Sc~s0k4s4r`eM&XQHeTu6E^zszm-?1JLGiO
zW_OIdO!Q@EV|&9K_{Za6;Mwk=WBN56RL?fA$i~7;6gAG#nVD-sc(;g(-lcmi&*3O^
zpAkSH8wdrzw{MR`^^*?(Zr^&RVYUdv)2%TD{6Rc0=2JD98)=osGk7_Zya~2XZvk!0
z6;#h|t=t1Q?e$K4eqjlTiKU&H&!5xcM>N@s<u|pr-@tu}DJbB^$03;w-5HdOw-A@k
zvIGlQT&+FOoGzJNP+-g)lFR6S>c!2KtgI6%njdNqT_Ktii+mXPE}+A<Le=vZ`(<JS
zo`PYsbtJwuXIOJ`d(B<oUd7I==CirztXRoeF&;?&t;4YkZ187d``7-vX@@x!svhrW
zCyg175p{}*rsmb_LT}<(j;ztO6KX<X^*Taj8_>G|l#Vl+r8-(#J?NL#9=t4p8u&|{
z>Z3rnuX-Dk3~Ad>D)I7-YL%FHZFzZdQ=;#+K=VhaCCKte?UxQsb~@K>0s~+F!ik$)
zJL0CF>$D55Qx{M;9(B=_ukR8V<_4ynKk~D6q*!$BOm0AdWty%C+Myq9Su8M`o17ID
z;kvnYpX~;KHK)E_HO}^spen1fzRgRIH?LU4FbF%Z=qFF85Dxl7J>^+BY!QY>?>7|7
z%h$yH;kBmql}py7pL|l<;{Uo>u`#}|)+!_e02l{BaXt?*`cU$Xg8{tp!0q$Lx7d*j
zAsN%Fuis5lxVuLQYpZ@v4Rg<w@>(yv&dBHiDvvYjQ`ztH{`4U?H%S0Zr&4~-poPBx
ztIU^~5eGdaK@*gC+V0}lLq~=3Z9g)kZzn&>A$&pfv-@9IK0dvx0I~wQr0$!%vD;o2
zuF4+rNLsm)dz;>MJN(|ki8jT?z`&Wi7*g8(Y$8<F0^HN|u$|ZXC+djas8i8QGSMCm
z9_E%x1m&Y*pq;oHb}=_5MSM^YY`j<`xMCTNT;R3Fv#9R3_~n93HMow`_Uq~nbs3CX
z_Bco$PFXp^wZPBI8*jFod}D7o*{M>0ol)5Dt1Ms7$*Wj`O0cBW38)>D%QXS>=8-FJ
zAQdhr6)aTW(OIZWLDlb8zi9{)sYxgNq25Q9Kf6s+geH>6Pj+JVcdzU8M<%>BQ)7Ji
zu&-M#lwv_!x5Qj|{`@)rkI9vmpB~q^h{?-exfZh`y(P)`Yb?sP5Z*sm3+B^0sQ;kX
zgum+zK)kC|;zZ+ZlC%ZMUFyO0&dkhI&AQI37-A1{fE3d?IqOhNpWnMxRFoa>3ibT8
z$yL{SA0ikZ-(1yMEYBhAwt6%Yo@#OWWxtimpmxiZKK0cp_rk)QD{_ZMJ}fhm_LXko
z85B*rw>3tWXQ|P>apY;26HDZi)Y`jua0H@IH6t@oo4^C9C@QJ}pqpO0smR)yvko1X
zay!hT)X<Qk0X3U?TGxv9EDdf2QMWsK?4$Ai;L{{~;lgfI7Zo4mV%Dxw!4Z`)I&9X@
zGIfC`h%cYP1xmw?zT$q+vxnUB(8NtyNXW}?d0$m^)i{;q4cmu0T)wR$Kq!W{4|8Lf
zF>k~f18L1edVd5J*;LKTUxG-fijvs`6<`sjZ!d>2`glX3bYtUzHAkNAX4pE;7sNv&
zw_<i`#~OWQN)eLkOS`TDZWQ|Kkkk)bTMMGjDYlZ0@jUWk<w}2zjX%~cxM|a0kNGa1
zv!RP6P$0y-_v|@zmM#D{F~rO<{A5)P1({Uj(pTlnn1$M6SE-i|APA_hT!#B-(gGfb
zI@c~&WV#Zp@-s_sQ9F6k7s)O#CJ;##(&e}E4YoP}dC?}VbUl#XvVon-4wV~X4yS{f
z5xPPsP1gWF1*`?2%SD@xj%S6Bj`&Nq1*c>N?PX@#bnNQ!ZjP^skKgQuZg3w7bc@h8
z2B^gS&Q0FD0{8~jNB@2yfG<`Mkg4-As?^OZRw=MT8+DZCsDeC)bn$C<wPmJ!G|#`I
zWrZ>)nB1YecYP7212T+uO4xT}rK-M|2N+<0I)UMnZ1|sW*m~^aqn=&~jQPHA4lC90
zLW4GXVNdD?bWsN7+tqvy1@lSW2|}h*N{UszjLhIoqXG>^k$)h5;*8!~kmB`r1#0Z9
z=M>LPebz#~Y$(JDgK8uSJSp6_JfNg~Xri}dD4-S~*SkC3r>?W}7I>_HyokC1`7>wu
zzy<M$By?Vq*l^a)F2FeTo9A(kQ};Uijb`s7m?i3*L(D23a7bt<j=cNUH8W`R{MO<@
z)0pYlKNBhlt&KBVt_AWOSw%zYC165jnC4w$Kfh`I`%xFD!e&fQ%gfK>Y5KlD?bBf8
zw|T|jd(VEx1j}HPO!u`9l=;~S8iL44oBt6!DSEK25((Y)4Gj}kZMqCD9k%;0c5(nH
zIU9O|!FiwxkOQrS&#7wvLDurU)q~xp-yI~QMzgG|O{;ND>t)UsWI^y_J%3wXo)tTH
zMgeN{g4nD8PFd5~_%&TcTYC+ey=%W%xhsz*C{W;7j6lihJ;kT@5XpVMN!S^b{868?
z(Dr^8j;~)tmxZs&6m5gF_6-ICMbthBk9umo+z2XsNwE!zKk<OffR`hv|I*`EWFs{L
z8md!(b=K~`$Q$e&*bC=BjcxkOW$BX5=>hglldR}rf(}OB+QM__8&e0oE-A#>0P}3C
zv3^<p<VkkChzJJD37WTi|2bw>buZo(KKi@s9ffG)>IT?nFiS46VWsgAZaVZ-yFmhO
zkg%s9QX9*hlv{QC&Yde5I@&BPEgkf9{A=niMU(T1e2+f*gYzk}NMCN~45|S@E8x-r
z-#e`8I~n67n@y(Mj5aIFx0)3x$$vp{#@aR8IW?O9(?b{)84uU(d%~VZ!XI^7rKb~T
zkYE@1#Kl)bRpY~}2*S>rR}u9G37YTe--FqC`YJihX}EPY8tG{~|J$LVe%SuK;#N>#
z?@f)38>$)@V+3YsN*46x1-x9esMM=@mK2lZ0X*7g_ZA(Ex|Y^z&4zNY(p$xO5wUm%
z<D}Z8U4Eft6Q5%~b4Ym59cKX*bq)6sS&-PrjvqgS+VpeV3LlDI*qys~+5c8?D@ppY
zbA~muA$(_AS-_k`Y_kPj__?9j$UxqOw#caM$V)96W_eb6m*9;D{J{@x(9+Vn<KjYI
zm4{M{IK<=`>ck>n%tk{6hNPT8#p8Ql?R**?O@VzH>jpi0;%wjOBrYy)<>;7n&f5C$
zsZ(2lF5`4Vda>bdA1}`^4%NgZ=~c0K(uLhA>>tu3AN2ZtrLx19O}46vE7o8=k_dL6
zqN_@dx`mcG@Lg);Qb`!UYtuc7ZU}Ft`{qIv1{hWK#^_dbqpFI^ThJyvQVHE+Vq#bG
zZSbmqpTstt_=$Cy-Oz;{OjTS(!?aP71FbRep<A`z0|m6NYHUnW=8dB%IX*oky!Na7
zMUF}_mL(Gq@piEFMJO4r5Wn^)fAS^-cH(-R-%C>C()9>eK0<$4TF}c#NQdL7at;4d
zj%7migGcjX>W{VD{m95$NL`0hgKrL~xYZ@_YA19cSm8Ux`0h2^`#PGM(Fq9*SX@ev
zPch?iRleTDRfQK7Javk2P)rxDa@&gjuB4UE3wYjfsUDSrnv9%o%1a3AAMC$$Vgakp
zvLo|rfB)bTyx1Eo5On)YczQy`I-s04XKgOC(a6m&V^5t;{#CB}2fhjb8CXTBba@>)
zPp{O(S4845@t~(&^w~@RCQ>264&Ho_aUP>Y*YS@pGv^U!H?ez!z<cltS}59#6x8<s
zqwhR=w7y5Zd@o)~$<?c;I?L<3r0ZigTIYF#Kc#(Nru$s6HRv0L0tvd_`TOj~(T5)`
zCX&!w1%`_@eTnL@4IbLZa`*kSkz-G)HYlg5uA)H*MEjhOAaP2JtKs&(&aMg#^@0Cr
z0iM$Gq_<Sf?_J6KWxjFPX;yP?M~_|JoD9wg&eKSi5fJd^^LqhO>+TGDFyHwbS?m-p
z_ZB-u341^_N9G+H8XJ3|?qNK)KE34z6rTznKWa{ktnI#-lil@pU92DFb9h$SkYdA?
z59jxypm+47;^UZP3XuN!bU}`OjEZKC`&r#U$;kH9KiiCPgxm(0yn4)|E}C+sGST|Z
zxPNcqd^jU>W-l@|#$02hH`Lz#cEuV%WIGLSy{q{VdKcdunp-n0)$0=5+S=&8aH{wg
zcRR`oRqo+c{B_{Hf!FM!`m#<_{>*h}?+Ks(@I@x=ERb%q<#`wj-97fEWL++BCZxRU
z@F-ewBi>7GnXzZ*TTZ!E_0?Q>y#lY0Oq8-%Afh&#jDDwUQ#JjUdopPbXWq-6LJ!;L
zC;Laij^DBYU<xKE$KZCbjH0iv-~1(#oNn3;a;r?mxXi@3JZ=Txk{_oe(G*fY>7bs-
zN2vyIz87bL(QUmt2MplYiq)4_^j~}e>MO}caK{ewCCm!8<^(xL@dFy8!Ab!@la7o%
zPmHXTI~`r=C7%5tK{9WTN}W@kzmArM*bC6+5#ow)ImuB390O;jA(Z~(L;uAWS5hte
zQ+XBh9$s-fQ*xCau~pW?!$WPz1Ux2UT+nFzGN8eXxxM+Zu?l@P<0`oGAPBA_qtEVa
zEA)~<U$px|ul$;0tm^UtI;UwaiQfY1*JIbj(33)iI{lO{f)3WA0wTH!Aix~k*|ITH
zLvqM}ZhQ(dDwc5IuhiKN+bk5Y=r89}I;a(p$4kNIjY2x#1E#$r#ZrumKs<oWrh2}=
zX?nDfmiF3CQ(L<iVf4os_S@8V163-6A`i^d0UoaGcH4dU3;Sf%c1h1?_>U&7m^6Gl
z*!>P*S8_r^2^<A{2;+qj;T5En#Y8I?dNKtRfJLWev{&+zrxj>^rPjIg^d48Ex4SC$
zJVq7ry$xu#6U&#wsZFOKqCo$A#MN~_xP{Lsc1ZKj$7cp{9?Gv3?vo?OzPr8J%3+bN
zS9<4aDp(iO>_oU6!m30VE#usS_-K9}1{ALwlz*D4bIeaNX&>rI2?cDrG7^sti=djQ
zV$n3?POTrG%$vJG-jRUFnJ^o^=-*#jM&#(dLk|{8b#gZYExQvLxe`Jx|D5FH<otxN
zn;cJT0)di<iHrN?+3Yk_*ipF$-`@J##pKeSB3L;fZQodN>qek}<h{fYpKyT=oSz7l
z0Dy!jQ6`E7X19H$HeO0hK|-1C(JmMT^@eVBd49p>73h7?xv*}~vVZvKk-CAw`d>~U
zi_cnH`!-nJEQ&`r7?8sL9uA`d!2+4*pd|#3qc6h?2AGxg+~&u~a5YF9S4nC~bUCAU
z1TKNf%G%mUP?MR+qPtl&+zAAM*sgA3!jjuT9xP@cR=|+w-KS4qW9#MR)t|W*9YEcZ
zyeWh{l|Y{OI42fxaq+3CM^Bx4s?$b?H(jtfh{xj7<7=o!XvAAoot*YU($Gb>l`#qM
z&kq|!32_uv0K~z0GC=h3Tdxr~E_}<jNK0=7+P6LN*0sQxtGl?CULxKAv@QH~EWcXE
zcK8-1psd`y3jmU#Ykw#q|FG+&$9W^3A&4Av^j;U#6}bdc<$$@hyjl+GRXRmSM<)P^
zEeg)r&1-|_fGzt|2`@brzpC^O-?$X?$ke8j)lcm~36t&(m8gXC$cBdxAA*B21(g~W
z<_|5&gO6X&veYTzpf|U@J;av;C>H!xk-g3qMK-j;{)s7X7$hTvN}g`z;ZgNq8*M$m
z7j^E7n|Bx)7-o9U0n$ex2%e}PLA5=jIg8((a9^gr85UM0klDpZ--rgV>6a0)d4-u>
zVr*-xKKfR_*C!BoVCH-UAMeOnO?mk*s%6WJp)`OqycA?k5}0|d-cwGz_dL%^VK)Br
zke()BR(W}j;BmM7)?dYU+lD9UJzGYu%;dr#7dT~7TP9lvHsxNwX7vTQjekZ5uqbn=
z<8nL5VQL%pZ#nN@Y#KNTa$bz}j#z_j)>9y<sDK%>Z2{d!x(#lp6hXBc2>k7+`7!ch
z@*Gd))vvakpQO(~Uow*mOpWj^w|Te6Pn_Uq$3E(<sA3*NHIOt6z!T`gsRWlqAX|`L
z9&vOOhceC03uGJQ_c-$1b(W6_Eb#6?GgQq9{<%O!iV-SWhadF=U1?~8=Imyf{onJk
zNuyO7_n#adq!fXjJIf&a+zn?6M0Xw_DDVIU?YAd!OyDba91%PVy>9m#{=4)jZ-cH4
z8bznu3mRe$0ntJ=?97j@!cEZIVajDkUWrk(=#9>FOBOOjh%P|k+&y{u{J1~cGeGZl
zW0k``iYXY$Y517p%sWU%bX6uU**Q-_u{mb4IANmCvh=kF_A09mb0Z-p%!Kk@8|D_U
zLhMl2*7gSj)CYpoco*Yp47p&l&CPIo&hPCNKFLxeJD^19tGW6O!o;^|#h0ZtH8%%h
zAYd(!WI4YvK<VH}oPqlc4nr@vJg=(wl0^+%qK*vptRly|hQbrXgA!Gl|8CQ~5sK@D
z9$q_+b8D_IhsL%P&6xV%UK<s4VnYz1fvBz~U4poSue_Zl%5`)1m|H?Zf)9i9Y7p(s
z`R@CGopTqfv$87qBhev@Cv^&K->z=Q=+o^*;r4JX86Jb5D1Ozm<Eqx;=+zC3(|Zg%
z9l+YZE-R%N`|ytzXt$2Kua#SeErYsL*a5FXbA<hkJ;OWjasmGSv<Nr?%W#2$HhiS+
zL`-;*bvXa^lc!G)_th+YDAtLcYPpDWc>sWzX%G)V6dpS^@1USgG@2Wb!Q+yXnL#_6
z*|>vcc);Xhps#Na)DyhH_X#&tV@&Jz@LIH*0q;eO1ke=o<_#AG)lxk}$B4eT%j7t&
zMx7gg74pk$?EKVi%(He@JF$qZLf$k)o^HklmCvC+u-<Wezd9Q;3Iz3*y=<TZMhVD}
z{Ctf9EBIP;UuK_`#ES4LDv$OuW1n{+#UaxWp>*VeM|F_N<eM!d(8uUDoy?`f5Ki47
zJ|=YtFFx4B0SJUp3iB7hDqJGslWh|_4HX6?WI_3Dx|QOdzrTh}Y1=u{h(bE;=w9yK
zHvATd72)6^eW|GD^^mX6LebB;OaB>do<ZjMVocaJ_RYXvLfx(l0%Fkp=Mm;~U!A6h
zA_2(4!emzAM7AfYjlH(*ffyAfXeo#eBJ_b(A#;SvH|O>DEBy%F23NGBhy&m`{XtK5
zBuYjP%|Lfvj(ax-CI7^XI2$>CcQPF$H)3%z)_F9|+h(nYPL|n2I?)TE$XpLu0b~o;
zhJ%;a0_7Wf!=MvaXNJO%u(tqLo=P0Idy;v*-pXJX>RWSU3Au>1R#sLeKp*^JTI%>n
zW|jKoIuw1NpUw7!!-nw!l%zdy%R7uJs%s51<cxd(<(E?kYEC9`ChSXiD)$iaeB={{
z97E|8FF2>o^>P-DN{SqC_`V7r7*`=_?ql(q_N@-My0db+A=T5bu~9q8IG@WReH|vA
z%Q20TX4@fIct0Z#L!QWb6(G~ZTtb)5O1%z3V9i<lHBMiG6R*=Ps2C#oe!com;6@L`
z&at5n3<Pfo5&#s}W=w$bQ<uXge1*>{?S{*cGSM92;6h}_<m~OYUAXI{8I@-_%`@n}
zu)c2+=t?<=GAfD{-w>wW1|98xK~~xe=4Qg`{V2@h%BsR&K}OkwzEC&Y-mJ(GC;uhv
z-_Sj@yY$_JP1C{^OzU)!>CoFzQNcLB@mn(E0G{=d|E1vaen5s03#4HKIhu|+NGHbi
z77@i=hBKN7WB68H6*m*VYW-^mNxTJLTncwGdlVX{kT?mg0R$2rAlFa>;i}=24R5KV
z@U2*euas1vkQ<bp&Ss>bwTCE-+4X=r2Wh#ku=+g*UkK3`TKVzs>X|-UxT3{UyO(>z
z9hJy0vSCf4jx=6=ozs2S&sJ+^jPyd6bG=OM&~wfDPtakZKCZxlbTeGUgouA-e+kOh
zF^o~^=F31n0U0H)=XB{NbEpiU(1J0C|C`G|d?<O_!bI0H0o1ENdI`d5HX;BKS#m=D
z8%p8VZZDR;T#nMe`E4L^d*v(DhSb`bEuR|#<f+S10}w1jgYh1ik#}+V$Hhq6&M-Q9
zlnxPr(5N?$)*nEjCgDE06aR&j6k=R=P*Q+{B(bQqbZZdfL!HqbaH<IcO)=i=>kKFU
zX;?Sf!*uD0)!Hov;IpwP{H4P{t+(adGkV(8-I%6tvCM%Y3Z*)8bo!3wIu!d92md#b
zKnT=ybiO%u0VBOYjyPOszqPoL?=6N(Wfcv?2pJ)JkQfm>iJ%T)^9Dd*LSVvdhTtst
z^*TVg{u_pU08-tHE<9{$VPOu=mz7(~9z+mWs^ny(%W)MYB}S4OFGGe-7*W)v046`<
z=t9o55`J*IQ5St}XbKN3VZXy*tbn$J#F-up_{ag7M2bb+y^Z4nZlt1}DHtce95nCf
zqpmqx{=3_|XAoK;#imf8Se-Vq!~&J(JXcY8?_VQ^i1}V%Ln)H8Hm=5v8ag_0Seb#M
z72}Dgz`L#``6c!GQi(w8|BoNsy}O3+gTq?GiA_U2PPt}TZBNBCV%}9&R|gcE7U8Aq
ze~uV|F~swLZA8t_cDeZzNw3cW`76PM^Rh`ckN{;zH+fuz_Zv_A2LHgh>t~A+)%01A
z)uzhp{NR?^hp8VlcI+aqzrI9gswdckCC?p}#!v_|ML<}1>P_M6*Br>w{J<#C^O{p4
z%<Rz1kh!CjDG0C7;!Nq%pZFV5?xHrurNn`Of`_y_t*wKrDb5ZK_96R%7;%Nl;amZq
zpNkn;$>5t>&L6R`;0MKd1&tZ0Rqa~k%MM+qN8E-=p6B}%D%myo9;rd}eATLyHyga`
zoh3tLV9W62qUL{C%GuSmw=;FiY)O&%Ky{B-5h$Y7Dk<nKF#*|)lTwE1xs|@f-tb~x
zjY|ys4t7d6v|YrCo!Gh0yuP@i9KMS<1K*unFv}<c5&O$c2O3=?uk?R$7*qJuy)Rrj
z?}x}IhYq__u?$z-R9ozB9ywK|^5Ia=*qp2W&NU-h7v4cir*LNde1LJ+A1$?Tu|(@~
z;m_-81w1@+7e3BQWzrKmt~%)5qUD}&5x_?v<%L=g(|<tlxd1WY?W~jh_peXRPT*J_
zj^s@NrHX=pdf~&Fk*tn%{p9&QO=DGp%lbL<Tb#Ep)#(#X(R-PmB(2{L`F}AA8={Z{
z9LD#3_+GmDk*8^Gj#7oAh@%r-KATOk3Xnv^mn2LMJ1Iv<u0~oVB_<l*NU)7WS&7(6
z^VxNv<o`+uUHpd-q27Xifo?-pwF1w`$MfU7UQ!0l7Mt;}U+BsYa<`Xl!zP&^)pol+
zA~kBPn_A~p485dPbK3;VHrMMLB_nQa)0}+~6T^ezaoZQ;JiOQ4WBFM_tE-A3zUKwz
zFUEc1=lfSTz)5Gk6W+d^9&JX@v5ehQZ6o2z&mT<BkK81{Ny=l=n8(Mf&DL~+Tz3J#
z?ryk<1&766u=k{<z%9iOaVj~W9!p!Ukj@=i0HTOIXV9PI?3{m@;<B;Z;Y2SaFmN!t
zf%rUoehQI`6jd-)<naDv@7(h0Om^R`10)rpAL_w0bOjoRH1ub;-~K)496~^8_Jq$x
zeuh1}r>}`hj68=FS~?<N#O&aTH~I(h0r^utVSlOBfl4(k9UW__hn-M@5&dMrpRenq
zf=;7`4GCcbmlbwpXE_b3N0RFXhk@@L=$;|lb*VcsK-3EjY`xntX*Ya>pV4+=>4yL1
zNre}a!viOdy-;f$nvnZBjztB!pr8q6pTYSVPP`}qq0U$%yNU*8OQx`oaq02nw1+p4
z%ZaMS2GIROw%b%u*=biFDt`*%N?bSiThsnkh$LvaUT0;M4mccfmw2`XlZOQ+nXg}u
zvVE3_`H=;8Cy$MNH_FY`RWD~{W|j;)9d(s|77JvG*5Sgt^LrDuTJALCdTa&FI1`~5
z{^etO1Lm<nAkHNPQ_@?Quq~&$&GY=b+gl#&Im18@d3z%~2h@O|H00+kxvi{evCE7Z
z^*h%s{>u=Kp>t9&GK%Qxho+8*0AL+-3x9kzzjccyiX5T)*Q2sJzNdCEpWwf%pR-<|
z@cTf}Ls^uPUD%p2;Ur=ij9#vx4e{MJiY^c7l=`!tVteSt+jXt2LFiPtDWeef#osLl
zB27j46eaVs!KCTri4)9}s}AACa98lf%34F%wNWIix!~T&0@eR-h9_V)k;Tg8Rc+RQ
zFRCAY^-u8f_R_a+k4|4!_i@KZjk0+>_IT}~kY}EMwx}#@k1~_8zbO-Wzfv)z%zNL;
z3x)U>6P^ea%c#d9&;}lq=74$!a~C*Izn(MWX=Sy2TrBmpg_S<YxMoaAcKPsuO}T$R
z0CoW2hsw*UbNAUWj=Om%=YfVH0EWYX`*-5dmJl!j?{vs<R+g{(rr)BkF0Z0Sq12kO
z^A}d*8GZbD8-ixG2g_C@MA=}J%WW2qqR~x4j<H_wL)WkWzXUMp>0_H*A_3&8049_M
zS1GCARiakjv2&xLvU*P*Z(;a)B48<X2{f+oiJo+soU>gq_pQu_ZQ9MhNQz3CS^;sM
z%x~gCVLYA+UolV;e1912+}(7y-c+RM^d3j|)fZIn2|jo_jPh<v|4x)w1RDosjy8#P
zLix9M){`f4`5UW#*hN}8OJxlUVx(-usRhR&4I8Y{Ea#!PK3EC)G!!ENr1D2MUQ+Ej
zDVo}kemVJUBvA&Yfv6(lDm)&{!#;5<4C!|E@KqNw0wJ+-x_K#)$<JQ{LrCC(mryjj
z&pRd0oEZ`d(m}!T4x4*_UjbkLV9tY+h6*jb1mMkgZ99JNS3v(*28QTxXG&h)1|VlW
zr_(vap|~XD6PLa+d4GCev26aLdst+}hZZhBwu4g+*NS0Wn0BG>2%(z5Bxd*cuLu8*
zf+zrs<Cdw!u><iq0&Psux7pdQMIhStO-9bH9jSE#uu$|tH`RmSr(W?JF?t#0$gK_Q
zMwFK5DV{-{B^CRq`}V~D?P}=~J+IBY10Rn$a&C=Ee(=*8)|JOzfd6pu%aQ?ygn!z4
z<VIjoJeGnr`V$pOO3F&yL->JVJ)Hs`5s-kV(o(fJKtHj<Ab~ayRQvD2w4rLS(Q%yx
zWM-9Hr3||&yVEMTOX1hz1HYM$xLTOYvq1V_UsUk|MF~^`W3b(r%`Y=2@fIF-V+g~&
z53N&*Q5e4ToOi2=IB@>}A8E{3StZ?F1}EH74;E7DJzpCc5M9#M)n8YsPeDRK&PP4X
z1=(+kk6>T8Tza<$?}SB2w(i5`j$x-h7~@EI&Sk59HU@Zr)`5tVVdpvaklJrX7(o{V
zM9-$hX*vqgut~$4F`2u`3sYwGZDfqeO~QlJkwkV!+DzR4r@(;FW+J7O0@<N1P(;o`
zOzw@jE<_Xo^C@?6Jt4qci6OWO42SukVVdivlPQ97k^S2Jzo(01-~V)8=Ptz2z%a}6
znt&9ZyEibpbW7FX&^#0?1oeP8Wyap2W9TD&l<v83lz?MU%Rd1MP%#1Qa}3LQdLbqq
z9k`-0AH3Q6a>Q};x!`K+{adT0r#8T5bR_FzG3;@O;+YbW{sFjYTGaVXfb4xgT3nwL
z;UNk=t0H3^9nSum+hOwRWtdB-X>V^Awyb?N0=LyesXwI_U3yBE8>{@6La+3pi?6v3
z8du4~_Miif-9N4I1I0n`?5Vd`P@~fydCDsL&2Up1n{pW&^ld7?8Z!p>HFkYNTLth@
z#;)&1%lTV>xbuuMGBZgt2l(=FlM50Dz+TdwRcLm#V#f;+8=Kh>2c8?;(vm;EHCh#R
z<hy4zHT=2)1g!@Hp*OBE3`U~XBi(6h>5A|ME3MRemU||={QUm;GG~p8t--jHK?-yz
z6mK}}agxCmZkKMV8(iWHKAXFN0k~lLJq@B($6Q!@iMI2R&VwiB0T8k!Fp3>*MP8WW
zzW3{KdGfHK#T<1#NnhwJde9t+tiAo<L37{bqctIS?y!d1WYi)}<8$23gtbI5=4>Pi
zPs+r(VzVIbfi&j)Zo(RjBKxhyx6L*;xotux#qipuh0%aJYZ?9?_B+qfJAtt4zNCjq
z3hh$kShmzc&3QJ35P_iin0Vp+`_~Z}C7%1cHe@Y@vzo;)P-Gcmc!w+}WI=5VX8r3|
z3s7-L{+k5_1-~ZVe7c1PCJgOxugJzW;4!qy8=$Zq&;5j1_0a&CIVwm^)t~vx{XL)c
z+x|9>;SvT*>VwoG9eQuQ2_=pLG;&4g6-Kd6h;HLOhz}6$D&!S@VYsohH3b6zPPx(+
zt!Li7x{;8uV}qo_yKU!DKChMWlp>ZJQS{<;uL76nQDEdibkIcrYGY!Sf!+T9%6k)V
zD%-wY9Hlv$sYJt4N}-6#SgEWgDPuw!WTwosCJmBWg=9=3GZ~hdk|vcY#0p6=EMw+*
zpBH+b_uc#5``zFFf9zv_$G085-`7)G*1hiQzOLWz{G9_v1vm+?wR-sK@JxLEYeN(k
zPG9ppQs-H1T*<JHN{+mfFgkd+w!DIg{FOO&7_Q$B2&g77y~OBm6LHPMKP>^;AR4JT
zrA!{(EDT7=tn>$Rz4K6L58GZ#pyCKYH-qi$#pZediY&WIdqK7Y@M<_}IeF>wqswrc
z&nW8ZuKB1ZYTZ#&4ITxmcI@#W!}oQOp;9?}LQ$WbcLQ&p*7;Sz79lUOZq8yCgYc*|
zYR#L?*jBK3Ey9jYU5WOrXDt=ooOs=&t+1XT)da!ofmNbEnuAhO+z*%H0m#0ocVU)@
z%sIjz!cfglGT<oJ;x-O^<DSQqqcjQuae#Z+9Zq_8bNwfm#Q^Hf5mdwy5HTb-&IuMh
z`6@Xc9I4};e+88^#ySxueCoJyyHK5?F8<lju+KqYH~0y=L3Vz}$p7&AJPfqv*!hwB
zC274`Z^JF7AWkfBtd*zLU=;xY(H~th_1S#6e!SPu-~SHU)41DGg}6Co({NQk4naf&
zIBLly;ToWN2lVA%!iYd-aU?qtj!u*LzBJi67bX?Y>7*!&;hUIrqFmS$syvFV41ST*
zz)d;;E*ZvZ6W|O=9yG+<WMK91;Wd2ebNb@jOPfXDlpGuzrdGauyWtYTWoUlF{^i>@
zp1u?)z*gK1b-AtJ?xv<~$BqK}CA6N`5n5`#Uvl!33E}=($)pQDYf+<7k|*Bz8BNqB
z#I%<*nL<8MjNWq^Z{Tfs4ST2zk5<3^3ZvCDiop)r7+E?v8`ZR|mO8^;04GGC9L`W8
zP$p7I)Y2SZU3VeQfw^Y#DPE{_ldX41<&}2fcb_chTOq<gFv!0q)xW>ALwV!1!{Ay%
z_;D3si2@!)KJU-XabTd7o`0Z378vZWhK9k+CvhlLU^O+*&_TmHnRf!F#LFAJPHd3?
zIAG*^p)Bq~ry%us+@_wJ0%Bl)q@qmQ3JEd@7!b<rZ7Z(s4L!1%9Nl~Nu=yXo@UHSZ
z5U{mkkz;$iU5U1de9c&27+D+pAQrec9`%SZv@M(a*4|zK76k+;@($drw?b~hB$DTu
z(&v~zTmU@Op>04+aguXAQR?NxssWAgdO0Wc&y#dYQ6=Z#K$P<6Cf4}U<~t?&x1Ps&
zJ$(2bP!~{=S@wRUkoP~l;wH-V@WZ|#y?duFP{|+kFq|R#pB9Jvgq1KW5`W;9ftGNq
z=H`z(#rkA^+X?gX8CI9VLqn%y+5+BCzD$b#>Zu$3D71q4q=E_dR#v+Y(E#q9@90&|
z>EGn>+=Vo;5bh8e13shytpk|RVkkn``SMDw^$XvupON`zy~knJaP=jAeNTj?4|tp(
z_*6$1<!1vfeCXx%1Q;NhXquY39SsMJJBJ_{D9sbL?B)7<o_3)a-R+-w+RdB#uEj8_
zlQ#=QVW}x&+c%`L-hN%k*KODs2r)+Pg7?>C7m3jW|C6biJ04V)T!<%TWCiZapL(C6
zTXrw7_iy^7Q-)DJF7oCXZTS*qKqN0-Y$J->@9Ai$Y+EA2Sy;diUPmgXTYr}6!a<NI
zC#Noj+rmpLO$G|QIpvqkUAw50R6~ZTlCZ!glRJDscWWiG0R%+SVVd^guhnzLZCkNl
z{+X_H9fQH|m^T}Y=i(K<_)M=%)VVUFueI{2TM|ZBuOKsJQ(B@c!u>^JM`5@zsCgJ8
zvak?A72FM?8_We*sI(vUZ*~V9ow*yn9X@5R*JNpP`V_Ex)V>k;0CtE3{u51+q0f%I
zQSodvP>O-WTRg*maP~8rKvy;Fj2emgW(~!zbeO>H7H6h)Mj9w3csUL4v|8(@sj1x9
zSwYZxC$FSzL6-}no6;E_ukXJs%DnRTTxuSt^f18|Bu;YPV7qsIXDg@Am>hKW^!h<7
z4*9^D;v+0~gn@MU{l5M{mND>3*nfiN^ZT3G^3FGW?ev6~f05If&S2V<wY)T?L+G=Y
z7RuYdZ})-$yOnR{mCofdruh_<3D=fBbXqpcU&l6f<tCgP7?-JMX&pZvQqyjFFYrNR
zfUJu)v+fuR8Ub;?Eme6pAHnM^LRSf=-`|P~w@-TLvWs~+42Y-xsIk6@NyB9$o`us{
z_dit{U9`80Fr}m;YOAU~2(Q2RMqdn;p6g;gm(L7Aw-4$LOF(x>{E$rcr0lD&uTP)z
zx;^R|{Q43pui=d<=SzHr=yXv0Fc~nk(!uEp#q0xr|LC!i_i896lWr_n7F9L}Ju3@q
zw|ndZS+_miuKkc|x0p1zu2BbFV}<7gdkdS5K;P^u!EV`FP%k9UdW8}I4F;O~dz1(r
z)$NP!r(iRHz5=5mG}w+O?WVQFs$9KrDZs}kymxYfiq{z0j)jz<4h)9HQk8vEHxIP_
z$z+d6W&<xxTV=19oc_NaW7PtqF_NCDG1i8pdO;3@;|$GX-0)=kJx!-D$IJZD%^x79
zbf7%?;%WoRILS+}Kji{!zom`1X-~~8u^G?bab@-MIx{t_rSQVI-)4P%{4FlH2nd_V
z_zsZUH*`j+?di<S^);QuTH_4#mn^$B<dF#Qaxk=~zBng%pAlR5q+os;my3!)Q)WT_
zdJrrCk>I(VhC^9?@7`%(gmq#zQXDlh4pz%+bnbT{zSqv`z=(U6-Er|huUB#xJ#79N
z=&8FjewpuZ+~n-Vc(M6_Zj$_TdH8_-`&k7(=!q|dX$K2#03{-yP~U7vFGg$sp(S?U
zC$gR<Y@MN&s4hUVi^jWU$LnnZNJoXe83Dh$|0*a!eWeio`O{iB`<T)dqh|86;5k*|
z-l8;eOC6;#I2!}7^Pf1ny}Y~-)azQ%um^`TNH-klQs0Mfn7XVG0h|r6u``<i)_++%
zc(yuy!~Ao!<)>+1he{5W2qYE5Kbrr%d4V_0z4lGLL%hSI*7Kb!JAB^xgt40K+s96j
zBosK54I7@u$1lJeI4Q$Eb#yPx-}$W8ObwjqW=pJ4XzY5;p4AHH>ENiEZ3~AHqi@(6
zcObvK@CBfE0z0I_BQwc%)1S|NMKBTjj)0<I*dV;Y;pyej3f2zT5Z#1=(9{QCXVF9q
zK>d3i-ELpsU+?y&<INCm^B443l^hxcyo>#~TUE^}xkibV=8yzMji;z@9%xo{xeZl!
z9Y#3>*DES1VPhfMUURf*XnguiUr(J2AlrBPw{C&^sgdutO3e!A9RF62A$M)|Ot8?!
zF*avm0e(Rkv6<F1ow46OWa@{{1u#P=ym9I_$PQ9F_D`@g$Sa24KfS@BJ9-S1fI8v)
zJ9wFu;>O3!;&gIq8s{m1j|LXO4Om^Wu@EE7ZQmz5DfCj#Yrej(k&1HRr~Wu+_9Yy`
zg?88@Wl5V<iRCa4!@)8u3!{`8sa1bIf2A+IVtBuu6^RX3^Xg6y9D2-D$;EtpXKzZ*
zHft7WXTW$zwU44N%Wl`74?X13GJz4)E;3#@fGc2oi}jU%6>l@}0uOG7wKO#9*_1z@
zjaV>X`N_lGY8+kf<Rqx6tYvrea6zY!eM!_`C)~}O_KHjPVW-5ep!4L=kT*NXn7QIB
zcPASr4g&}dNq{v9VTEGx7BPDXs{=|35oDMIi3)0M7Z*PRn;G0MGGim%4;rSkI2ntY
zEvscZV5Qp$l=*2^)+*BT1IlR^)d*<(=NYxt;;9cusde$bg<yl=7wUNJf^VkulU>Z^
zV+U!kJ8fKxHh*{Od^vLsh^yxVa}G<#%w!>U3`r}F7mZ=CR*xX6t~3`=GQWbGNA4G)
z#{-{orprRX?A+z9W1IX0B%OaAFIRFwa~GvEItR2dB34CfM4T^(P#t^@XhmfTyRl%N
z035+y$!rju>P4VSL>rCoCW^A+VC2n5j`SLjez)B9RP0R2V?EXmu;90A2(Mu60MZc;
z9X`=35(W&aRfq=&$pU*DFCeBoVdt*7$T=01$#VPWL2)XqP(hd^>=1&PL6(vW19Af2
z$F;$x_cq2(x|o4rQpm=F0OskK4D*r&`UAJE|Ky*6F?<_12j;s>(qFK7NFjp6wJz>L
zp-zLDTh8cQO)(a71~|5tGJDCa6@#U_$iHMqABEjY4ouVvd-7D_T@x}HFr~LGqiAYv
zAtUL^;~QH5P3Qp=lNdGjPQ;wCuwX9H;slfjG@1dJE@u&vR2O~&KSVwhw8gD|-SFbv
zpUcOr^E>G-*a#dT?}>S{FcGE|pk5QA2zWkrTOiAV0U8_2Hxw>13{0g?A#s%q9|_Tm
z3?H?uu{p4GHn;hKj1QiQT{Rs+usl02O~<4yM3H^#pGWV$_n!GKUM`{|9(VENR3DkK
zOcBg+j6PY&Caq1}@*&k{Ws&j9x=nakfKk694Nxst5~9%FF6j-rQBhGRd{|vUN&MT2
z<**+YVwxwvmbjU}(m6V?OvAXiXugIwxo<=>3t=J*U#AiF#jb-(O_742roh}NDY=pb
zU}d|Ni-EyLlx0WIJ1qlSg=JS>4d#fO;c2YZfiu-jJFcIxe}cS9c76d>kr5A$8JWCf
zAVge5u$Q-4Piu<)I9lD|d;_q>aCGfolSAR8|BsVH^ghKHaoT7Y7(}cPdAqLAd)Zjc
zspsRzol|C9eZpA0`HSqWkmof>k3k`M`{|l3cI|ZIolA72`ZXWCe+?crqE_V{W`%Ao
ztl#jo_+8LN9+(n+w+Y_yv|@b2tF0?Mw8z87K+4AX#hOvOsV=VCw7+?fX}%+UzQ@^s
zM&}g-%eSFque3z+cIKECG;vVX1cSA(;hf56A#RU1rhJ9nGaIcl%3PqGB0wbuu*6*h
z1QbG)#U?cayNG#4HCd-yVMvQP@<Ntl5GoN+1N#KjMtQ)fLH=6S$@LwhBSAcrjW(5V
zduo)(yn8@3YJ1h*;8`NRhl_dH_8qGb+#n#sJ<m-$AT{*sn^AEYROx1;U2{d*z3<)2
z{VsF2%i);g4`*f&#=om)Y42knRSF(Wkx=<K&sG{k>3VE_Gl~Wao=%S>!f=`K5sMK#
zs(o{ey_RS<=P^Amoc`9!ReV~647JoVZ4(Nu3Ft+zP{a?hHqEo~*`nzt*`7L0P&JxJ
z=1Fi7QR`q^nmfFGaq)P9P5(=!vVPvTvKMR;Iqg<+t~~L4$L_#}m&*>ayWiHnclYZO
zd!vhnTg=&gzoj%O$IV)Ns9AsMy0vAy<|v<VC{vDzu=i38r{Dg%|H_`?ZP&`#mL0ZJ
z*t43FQTeI8M)p#o-urdu^4{;X%hB_n-Pq-@D97Qmb6;x*EY{#yH+I{s&DztIz8F#}
zV(;bL^OUcdq@@un=`4^&9%Dk`=v#i{BdlpdOWUTiu~N6_nk$aqkb*@SDAJ*TQGh)k
zq9uV(38O|saK_-Pi_L_DHW7tvHK;SQIrSt<Ih{MF;oz~}VFtUD0FK(zGeLaqI$izw
z?al@8%mgmY&UV?_rY5h-QATH^_r;SZm*eai0435vB;`I^px317@YJmBJ+t?XnYw|o
z@f}X3nGRSDCwB0t3M|={v4o<;s8hD(J15%{BOP$0w(nQF30sXRx7(9Ar#2(vSVqip
zuenxq^dF+3s0b9vHr2%3%!`5u^USxyjz8}oK-^_G>R0XK1zNczmI=#ok=t45V*M!)
z<R6E!#V(xTx7|oJyc-ASk2OiFl1I}uM7YHg7E%22>b_6cKVg!SvS{9n*|&`mP4Fx{
zT#$#O`?0YoujdBmRUj3}A3G<Cp^c%bX_%SGdJJWGJKgrI*)AdBcWNOG-iIF9$!mNH
zmU6n<3V4l%B3x|Its=U3z2&ZYCx(`DvERky7-`#lyOK)3hmcbasGkE^xk~7SlF}OL
zV;D|)_9a6R+4e2%1eV*)TDz*Dw`TJnYT|tyqJjQkpEQ;G&C<6gm*D{dJD-mY$QHA^
zVP=bHLy7@*&$jaU)7eOb3qO^_iqnVZ+{oJ`Bm_tz5rG*u2YSjUf-bDSUPtTK+XLar
z#Mjq%uAH`t{yU!F04Fg32UCyi;^81+cf^tq@m<1k6;Yu0Mph5uhdj{bCIN~n5Te(D
zznY950<c;1#uH)s(D+uD|3*^K#wBx_aflyz)NZ+JJFM_kl$9xtDt5r&X`$eO`<Eub
zJC1zCr?AS-FrzFgh9A^(k~&y=9(b8D+(bnJjiNxzgj0hPPK@K&6)}BX{Hw9C(Fl1r
z)#YFwJp(3z2*b?0Q3AUHH6?LN#GnyYD*%T`FfXE^+FssgoBCmXtbCone*J2BzaeNM
zwG&)F5_d3XI$QepD|5vRzX*^BAQVo_OTqPk+ap6mAtOA$Nmy77$1O%;5rCPD@Up99
z98tY&4g-mWq%1%Z*J17pREs2ZZQ8i8_=KV~e@<<jpJ_UkAWCIje=b*O-JAONGm|h@
zWoKheENBwNpsvd`D?PpHr{TTB0GCiiBfnnRNAbzEUT~uGWtF2MA{K^k92S|k*EvTA
zs>EN-x#CErU+%KY9KCKh=kx2^ku*>>_W0uJ5AWXHds~11%kOAUv?C7$_iP&+b;hGP
zV4-=M6KnUkJwAU-0XOk*Oe|Ws3}fDJsIM<V9zjS)M*N1V8@NmyMvUhVY=yn*#8+-4
zVg;st8}eW7w|DR;iDt}t6dn;lb<=&MwLb{J&MiJ2>`Q4YC|K+VsZ=Eki^P!P=amhs
zZ(%0`Jk%32AC2`+o-O_JujT1pv@;MkrEA_-kiW0+y7l-y`JR}pVtSu^ZIveGS|P;(
zPDY~GrSXeq-y`#`%{r*mIrZvPrXI`Y59h5}Mbz*k*e<(Pp6~H(ZEYRczz>_7i8lbF
zZWM$lmC_1I^++D@rDXp=c&wy}zT7`A?_O<(nh3Wtwy_Kzijtn5-pJh$IDoVlrTAh7
zz<zbNrj96wJc{z)wo<fEEW4@w>U~E)))f^bGd-Ux6qwifR4~0L*yI0UX*@Zm0G{l`
z-yb^kps?{lsA;!*Pfw3U4X4eY6ld3c3;zrMHtnNOu<Y}ws8X1+^@2U4j}44OokNJU
z9a9{q-YA_i$a+eingGIWCO*^HG{nHlCZT*df8BtR-(bqGU6=(Z-M-#K;>*{s&jGZY
zA~O-(tndPu$10<pD}_;LWz<>XiH@(+P8f7Z!z2;RxFXXbRG7U0X_Q<>>iMiH&-)ml
z0|}UsjP~$k!kOzK#rlp_m}4a&u{H|>IeQrC{_L_{RDLV}4DqY99O^MZY_+ybkRr<Z
z63}=_FpJ=pEiu*31S^Hu0)ZKQzn@P%;$L67@`bz<nMZa)k{XCPN)O-^)ws;xx5@W|
zRHTWO46u3#F`3nMNOkQcxlMRJh<R=nv_|%Dx=sQS0du*DWL)%y6{cCx@=RpPL4Ozr
zA`G4%;x>F)PA+HglUdak7dXC3kB@YpgjL#&I^oGr!u9fn+zHM@Itm(c?O3-3u%H*2
zXD1bCi)jVvIM&`*$mk_$yZhEI)PgjIxV>g-$H5mKCs;B<0U<MjSuGPi^K2&AvxjI8
zgM#>iU~mA(R}quy^zFKp*vpA=DOkOwn65u))tUM<Slm~1vYOds59A9UG@Px$WHJ~3
z%0IJ}L^aVu(RtG~C4iHHM-f0VfJ$U`H;CGl<ZJ0B@MMgDm`?Ykon0CnE=a&cfyf<g
zp81m(#v-}qd)t1-MXN%d1N7L~qu7RNp^!pZr;Y*Y<fo#;Q+yN{5U_=cBYbu#`k?x5
z%0}*ahH&~JDX2m)VY84zBEiI$wb*yQ7v%wP*`jV?jV)|E^r*s~%M@SXoTpbJdW~X$
z>U(x6acw3cZzL=Z2`&5){H@i*()e@0N}YDDoPq0*qL^Z+WFg~5udzRb&0*E&4BSsE
z<d6n*rwnJL*hmE}FUqUpx$9jRj#+kUVzu7qR)+d!y))Yt!pd_%#Qd?nlKfE$-@QEE
zCe2}k;W1Q7&r176<AsLGo$)v2{qpfM^F)BSHEa6qOf<{*AZ-7@WI?C(nk91#aCc~-
zWR_h$g2s|MwE1<Lf{_5voa;+&$^UTq3Tcf#62FLbZx0L)m9goPBn7}0*}XAlR2uS*
zgONIM0%RUjiHCWW1C@o&VVDQn?C8MgwiGV!pY0f`n62wt&u*G_!MT&ofvTt|kukl8
zHLgN1uENNAdDA+ndF6ppyqsn`OzvbSZ=f@(qx$bR)k69GNr=_SH9MK!{@YzNr@=*h
zmaXJM*hImpg*h1~SA-SD*it&=-qCV~ZgQN@V}Jd)_`JPnF^O4qGOY8kAs-3Yr2?!A
zT#2hoJoc02Nm6!kD0@>-5JsTlfH9PJZAS$LOJV?h+O?-o-sBkqY&9IO&uop+%1|XX
z+n|UfpL<W^@Ucic>Fg9!-)T)*bnCT?OgD2eJ{R|8TZnmlRSX^ZY$Tk57<Y$yo73at
zkI}zfawlQ{xS&-dZJXpN&6ztlLn^Stu~D*(cR__A3d@NyUpr1>%z@s0kwYFy*^S+(
z`Zqo)JndvMEWTiti2T)0q|9A1Cn7Dak{o-el*iVHI~kEGKDmu?TI5~PCh_|2L6nEz
zqB33<jl*KdmScBq6{nMtqRDVd#z=@&n#Jy12RA%^#7P&$UfFpct+0&t^r%wFb4Y{d
zr-GK+Z0Ue);&=gHM0owl0JsX1jSP(^HeG&dRlM$1vLD;DpF%5w!8Ear#_S{2G_&i?
zwV8<l5mxVR+{JkA>#hM~2b<&oPm9$sbn9}JSTe^~i-U&ac!Q(J-ec$Z+;m@G4LL2M
zZ@p6?B&FVF1{-UQdDUS=Rllk;A4y-<2dHT=n>L%HL)V}qp32ObFP7iPyT4$`!s%7+
z6-*Ti3sIc&Zn~5n6E)CF-2~3bw~L?5tB%p6lK@BTk>`D`dJm5}Q%kU;OCI?StM^UR
z6*7*to=n?+(ZKlRj5J(}PqS+MRzCCP)ON(JKFfAohhc656G>FXEq!+xq?h<!@!$0l
zEs!kHK^BjICFtwChH}fC?Z-^Z9=BG&d_tcwwQICqcU9X`*A5YDG~Q#&T%Ca{P>qy5
zty}VsEyb^yY^+3SLJI})JA~18Jx_Nj7Z+&18YH&Z(cb8$quxD+J!1?DI=xza>a~ZL
zW7{-J9fpylKBVy{v+S)r-+u54g?<GwHY8Sj6FR0^6HP6x7*Kgpl^EeOLi(^dona62
z%_VcLTSDW#{;&<gIAxtPaj}cugnR>WkzxS3g>>vx_2lX_Z{S8WacsATU;uvoNbRu7
zn=fIR-bxIXpi2<YJ&ANm5W-||WJM$;DTC)SyBlB0i1{#OK97t%uA$)zdXrF4VTGwP
zXndf%hk^g7|Ji?MWJH7#szIP|5m>{4JV34{zWm7LX(p&gm)>}m{JG;Do_`fg+R%^S
zpovOJQ3Z7J1^ndgsQyhmX5Gy{L)tJ9gtjA)i^J!AVPOU4u3;eUN+av|_wXpmGDkqL
ze<0uLsUM-a^-RDsZ|((XR+r40{!!>@A(Y5(r}g2XeGs*K8>UnZKYupiu;_ZCbea?B
z;3Z5QT%sc)ntSrV!PVu)tL}0dO1kngnAEL!L=aB6mKqroqawCqd)ivc3D~%|#bI)X
z!`M!Wm%62J2;*mQ{LKRtm8%!rl%=!x-3ts9!q!M7w&t(u;@>Y_;|r`1-7u*o6A$fP
zgikX+C!!V&Zpz!ja#y~;%G&7L$ab0h+WhZ+`+AMsz#lHazy0R_6yGpWvqQOd92f^`
z_T@L~6AMLJ9sQ@>*X5>Bf(mhNm|Vh{nBwH;?X7o)ze$kS^MDYS&uVMLh1AQ2KYO-u
znY*w0{Glt1wxa`*c|%p%9K((>L*;JYOl@9SEsYk&u{oBAqWf+A)`S%lzllC%O-8(L
zN~3061>-ybg$m;ut@-9|y7L~nTfLg@KsL2_uD+ta4r*-`=%b-#CSh&07Qv^~=85&h
zj3zlPZoZT@%hu$L$UH2b*k{JSK6Y<m&CV*K_kBrG%wRHV{M`q0^jzoO$U{S{=Tm$E
z?p^g}V$7D7!?82oBUIrb#A&$g*Y~VREZDsWjd8xPA+p=wuROXEv0ms-Q8CP!aaGUf
zDg_y%cWPBETfS`E_f&~AqG(Y!EtvInXtGPaSv#r*Gs}NyQm^ht^YK_~4oyH>T1z`l
zjYjHL>@^er_UBL75K#YRGjdI`w{Qku|I|wRf1n+?nSTZlWhoT6Hf;zJa6zhB8M+FD
z${Ju6EM2u96nA6?_dp!ijBN=Cc%iXbeJ4LX+PW8+yLnb?@82Y8&%`mp(AfA3@a|a5
z4L6C3CYCn%2x&!<csT6ZQjPUf8Ih+sr)ScDzd2Qd^Vk-4;At^$jE;r|Ia(;2bI^5=
ze3H1VzQ=?LiL(5f)tQ7x#6LMe#_1%et3HK|KvevaKpT~YxC|(c5j_ZML$Xamhjqd3
z+SJW!y}4!u1+_ZqJV-nr!6*SU_t{pXqa|^v#rn!5$4wg!V<bd^WLaR|6-I~-$Sg9V
z*I*h#+8`&WAJm|8Lpe*b<>gif*N*&>X!Di@dp8h<!PwlR^E#(?r`+7Vxq=3e&P=oz
zh`VE21P%M6+;hlmCkcBBln`)lkAuQ{4=u7TH_oVd9DeIS<G|1W2-0TVEO4i(G|Y<Y
zOHqoFw}kU_{pOYK`908t8o-?){nuk7`-`D}F7%o!oeLk5Hex5JB~TeMJ}DkKQU<2^
z1}cd<e3c0Ri@N2BsV2bKNOT8}RJFBZQQcPqDc?44ok8y(I7ytXMjQPpNDdDu29S`h
z5)uV?L@j~-ZE@Iz3l|R2P`kY90e(0jMa83e5;<0|u??RqoGD_E{O46<cwdyyjj^c%
zG=^|5>(q}Jpi!uB3R8UK48ddz!Vf{Ly+QCXK*$~7?UPWpflE2)ihf>7vjo8<$RdD5
z<^0&);|snjHVTW+3|JP{botY0XU^~|h~IeH(7h2!PUscLz9>5EofGGjG-d)5#klw4
z7J9XPJ-d_RInX1VjC&U9&D@y1Q6F{WXi^*F^R`*)h)lr#))Vu|zml#s>f~S{wElbB
z^*=qrP3)5tY)kvr-XC!91glicalo9UJ`Q2Ny$P)03xRg~Q54q>mD4FCx4Q@$!U)La
z=qo?e8AIfH5?cIr^BO3H!=QEX?@o!Kh>DiBE-IS&S?{B<dLe3?kEs508@uxhJ>!FL
zVkRDv<Lk7~0-~npb6JKK7-&jb3T*Pco^M;X6&(Oh6k^r}-9b#j;05P`apMJ@eS4U~
z*-^iYh9gdjt?(FUh|EJF#e{!X1)Ri}&YQ6vx6b5iJfPY6$6=TQ?Tr{bla2&RY0#jn
ze1>9y#C2ku1qfS;;$kpq)#QTW4xVM}@Up>hu-8g_<T8bP3WX+S1>Prl<5Q3{jDq-i
zwLO&3#V}Infm#intj*lHbFCoa(Fc}*6;_T}N$j+l9M9w9;|q2*0zyqsPv>a#;MsZn
z<>~l>-k6W|U9YE^OY$|!HT2pqopXI)Q~W1X^8-wNl>6AO!Rx6TnZ-0>(9y}xi#a2T
z7682c*Jd(L%-Y^Edn41*G~h@<z$8NkJ(KeVpXb}B3Y0yyRd?W{+IXY7x6L=LPNS{S
zze0XQaD1ZZ_mx|{I--HIs&wlmoH7ycKsSJgJ@z&lg?vmf$Rey4)T;0;Sq8N?BwDA4
zXXUG_m7lTOlpJl`E+*E5Hc2|N;C59YOB*?!5q*bR9grEBI{-3+9%AHmc~MdB<ROMj
z!3A9FCkU%=5k0dm$)}uCSu@T^mlGgb7xSmwYPsOkm<b#JI`%hu2A7r^$AFcio*-Fc
zrU668%4e%@0m=RW@PIS}+B^I8Nkv8r1)bN%{y-kct^8E9rX5|@d~j?7T+lqkjPv<&
ziK`P@%$^2emz}yh+^`u_X@Cz3Bb=x9j`IDvjJc@xx^4ua=C?{cyl>xiiUEvaq^o`b
zrAh`B5h*uooi`jdO0QiZKsP+nC%Mvjs(o<HTG-ilMVA{X)AuMQHJNGEBiI~ChA+)B
zf2o>fMwa=GXkgl)CLJQu4Mns0_Y3D;(#$c<JMnAsHC!*>a;5uV5803>(u1jY6ox;}
zbd&#a4q(cJf$a%_B_$BfJQk^LwlstfedP1!3f%6O{>%X=T{ovLOP!rl<3z#gw-{d0
z>&H!<M2IOuuZNlAI+;<Dbqd+6Z@lUMqL4TGj}-EWyR@f%Zl7H4@c1qVg_Dft0O|LL
z)4B!tUI`5W(lb;vHKXvv7=m2!c&CNl$VQ(4U~2!Hg*-3snyDX=@qet4_i$M`r|+Jh
zpV6=pv=T@J!m>PGkSGH!@{!nC?|=3WFP%00N1@4O>Co`-0%q?)8hMV)cNkyVrx1o5
z062z4JbChxwC>OsbeXl-_~<0HbtUF=XHLEM(@N9-tNm6eajt6`jFlz;ou`G|ZVSgN
z$s99z%tV^k^OTVGht}711FeZ~p<Dyfw>WCI4o2FuT`s8WFml2R8=sn)2%t8vOP^C-
z(Km#V=B5=Mk5S0)0cp46vT>M6t-Ta4w!TN|^J$+%2+TQDu2<D(K(>LJb<4NL=FUtq
z-?2Ho)WCYVQ<#Z`d9k4^<~|APcUHgrGba_fV>@tQ5+?a;l(2FNGs(fUY-b~<X=<B^
z>)h*m{-IQ7wZ@R@ec5VX7%-qoQ$~S(OyC?rGYCcy{upeQ?`&_Uh6dQ8{_YIxx!}!i
zmD!v`h6bp^tES3yGEAZ%6YwCm?)7Td&S3+?&qLWLM&?CmeE_pkB4EN?Xa4o)?R$qY
zyaN7t{O|4WXZIi_f-$mIT6)xfnszqd?5TCNY#)evlVAV!e%r7ugC&DhW!OeYf=|GX
zi+czj0J=mJGz3U~woW~Yktd>pLvdd1#W9i&JUJOjLm0zbr;h-mCqdUFpwh{1$JFPv
z+0|8IHjaX1kdgL1EgndM505@l+K8IB2ZW<{^<9+c#qRl*P-~GxkCb|jGC`z>2DhpO
zG)h$r_%cR~Yce&!b=$Ogb8Gk6sljN`_*VJ7!etc|Mkohv?|+&O>0l2$!$=%yF^DMy
zCwCg@dW%WCRz@$1%W(YgCWr{L;kbYbFo{5$Y^<ZdBytSsBV=BISQ;Y?WLLT6OuhXX
zyeL)eQC=^-B|njbiA)g`PaqsXSW}K#2Y|2&s$3X<@JG|ZfTJEqK(FItMq4>DzLS6s
zUORs_;SsNW(;6~XK-ArlTE5AkY8IA5t5FOBL&T6@gNCS}5$kT0#8$|4K+>rR!&@XS
zENuVrL(dtgqXW@BEe<0v4OjsfF4O1bDV!XgdY922sLW9<1K^-gSM0LXzfk~@y9zA{
z!;5RpnAOrk&3E{VU|zdRMv;aGs60+54wzQ+tGU95PqzJe70(;dy?dBisbD!FvK~b_
z{6DBAsGApu5wkmcFfA>ciq;@Q_TceDUo&8I|0zIHBKsTRrD4OU2J@=%R3k|4B|-|O
zBzF|=$D$_1EA`Y!hv|kGn?$H9#!|#f`~2o0|13fM<7>krE}-pz(-|_h%lhPMt330%
zDzjt)vV1NlV-$({`ci-~si&vv=k6G%vAE`cSwQEP{znVwZv;d}#eJijq{Si|{<}Zj
zgdatUo{y^x5F}C>??pXD{!`?h%qgCm$f!O?>SdWASg+0<e*f;B$UlSds1P@JzFp_}
z_AG(qaXM*z?r8n>F_7HoavevtPZfQoo%&)c#_6bL0IhWw%Em!~FNg^V*suf>#*YZq
z7mM6(RIU%O^s$uP3ktNU2eEZm0UI50&LMpe#`&T`Q?n)!ITS~Gm?mX^LFuLr2on75
znhYAU0Yrao<qYr(?(*ym0SoNd@k6Pa>gvzI+uH|KjWP-#)0|Q3RXfb((9~*`4|>Hp
z!U>9TQVYCVt#UIfQ@SLtD`RlS%(WPPSZ6HdxG{(t8sJM=6&>5_?8XD?I+(SM?Aowo
zPM4RGUze>Erp&l^zq)KO{Q!n;Y`sxoEf^*_26y^*_toPyJob|rieL8mn=>9HIa>`N
zi7r5B@ho@(j_uB{Kw^YRRT35QrCXeWc!>TD$>(=Nfn-2MQBm;F&=7Cg`F(_$P@6FY
zmm@n=Y4w6*|4=kfO9Jbm+pY9p4WXq3fINy}g7T)GL=SDmJ$88a?%hq7#mIrZFZWUp
zZ8Dfan1<@(nnEyB9vEi4dGkiw2{kmVU+?aDau2xYM<I49T&tJy{ffk>Kw@v)j&z;r
z0bT#GDtgT)z9|mSZ~vB=lTYYrlj)gRaPD2|GN6Gf`bGiF0TpNfDaxOkw4=u&;}xWf
zEXv--@3d^9h6V`sIoo#X`Sw158r)6yd2p~CEeTJ*b@#N(uG$D5p_VLFJ5}7)2c#6<
z#aMcqJ-D~7mC4#JFC+TSWHf!gV${@#cgA{bhh&h4DJ86TV$doKR1+&g!gT=^01*!%
zNE@-qh`|W=D0&SH<cwZf0(8Lc8U@5$ck>4joe$EW`g-ts-PAsQdMU2!A<~yIEmfo;
zz%i2WHFe;>MS8s^@Jv;)srqp4G{RLA_6!;SbiMRp;57Jx(RC7LMW}h;F%gA16cpRa
zm?4&UP94>9<Bd4kBp>a#7=ncgC(JMaAh4)11S#w>a>{^`FL(KH{sNE<a`mvG1Co=K
zcOJk<@7J@QWV8iejE8vih&|{hU(s-3j;Vscm7O~wrFQVGYbn;B-0IUPjn+#_O7h0T
zz|im1eA@dua{-W5z=^oc>A~iJNG@7I+3&%#M~-;xI8u4z{|eZ>Y_HhVdiXDhI)eGY
z@(X9z1in#xVP4+NapT5%o|`AfQ-Gsz%nVYgeDCW7gzIqhjQ3xL=trp3t!axWnv4ov
z&$oMPtL|YEeDZ@H_zxp+Ki=ZwPIt4$9~b&MG5TubW%5LtG*=orIOCr+Z_Cji)*djP
ztc<Z^>x&uU_WvSgC9wXZP+>mSrji&uzIEQ!1uxy4`x1kigT_a~Db3l#?O>&dVqmct
zwJ|ivUx5EnsF2iSx7tc39L(OuSw_NSL`<xjs3k6=6)pyF3?a2F(3xfcTgOQM+>8L6
z%R<=$X9(JiEw=}9@Fq|)?o+mCypV^TGc~+m7tdXb?8_dW1~XG@Mhefe6OJLCQ2t~`
z!#%lkdt6|g_ynEey5>a11lArih=+?&DB-Vd57)Ad!f<Q2CtP-vN=pJWeP~&{D`9hV
zWoJQa(WIHnCW9b8+gf;r<P;8-XTRs2T3KItNZ$R#m->=_`&-Xb*J4QPj=oOMhxPkr
zLfl>fKY2>mxzo98;b0hB2)LMxCoWvt&SFo*=fLS7Qjl2u?x!J3&uh3DA<CSeiaLJ1
z+O*&e>kmH)Hgl|BNeeA>YPWDo;aj)NJ%7lUIrWxYW%3sM;WPYibc#}eJYoMo$Ta&$
z-iKVc{l7-PV@Hkq=YGAsbl4hX3{tK76oC7<AO0E5Db~5SKelKl_D%e~clVYVyAp@Q
z7u_P99>5YsB-k5*NR(gLv-dz=>xICFHFQQm&nTPq>HO@r7DuDkXA;y4Ir*Bh06aEB
z>e7D6w?HW4FwXzhq&0un=GNVWDhO%59It11btYjMq7N{Ua01FqCZY7?Af_{GRH9*R
zHiC7K_+sKyfH(sqD2KI#rm5f8a5DPEWIt`C+NSxL&i(GAREPBMck3V%qVK9ULn<$M
z1~v){3r7sIM}LlVVw4SfOWIzn!T1}BG$wp6ilNIT!|@w=PmT$MB9~4F50MI1x--V3
zOv&28qwptSGLtVg9K?908lvOJvM$+Dyq?fFL=Jc4=)k`$0j!;H!0#!VFqAPI>S=zw
z%PLX`QCw}cIXbZQm-B3C|1^0ODMN+hBZ`nnTQxe4xGwcAqw8gBv#4Gu%Qnd$TsG~#
zZ)4V6p;S^A4ZY&Z4ko`x{N`=>wI~|noiV^*nz;=7sYa_mL5ku*OwdhoT+1|)%`~lS
zvprZxKjIzn2_jy?3Gdz$qhh+>IFhB`Knr^Y+={kefcajdn&TqhvkL2-;WP^T>=u%X
zUpwO|v&k^thE;LIrHuhxe&U~zC~OByo?N+0GQ%mdtz7X}$ExW5W|u$Xy(7$09PqX}
zL}#sly&LgnR`pbn`(LoPyr{zwx|WAuwzccQG~rd|KQ$dpDA3=?=6?l*Ut+k;D92T$
z=WRB7(e}h4?~1wKzx7W2M|pi0@c}1vJh$!?om`Hgv$fVYT)9S%GP(|Z=7|fP;sY%i
z4;nj+mF7h;sm+!)*zTLGle-Du%hvQ*!>NGDZr=XqKj1Ifiw5r?4Gyd!f4}5b+u{x!
z(+3R=mIM|0Of*5XhkkyHX1NOJV(wFLCuRSB*_2)wDK^>U3<q%V$pA6f?7=6i4Y4hW
zFW$APVphCl;!sLXjyB7vh6@NjJ8Ie50y?ri^3Uvocny{&&oL=6bME#-5Kdb+o|zK9
z;gp!WpXt*xo7DC^IW_{^u-aNPV-SZptw$r#GBkM*Wgf^|;qz_8KUN8!W*<#9V+<kT
zxn7n}()uujI;D_DK0{s7LQ*X;7(L!Uv&TlSH)g4}u<KZ4PM?V;?wNdJlo=<l)N^8d
zf$gD7k`ol>$e@v*8@l2i_vbsaO18u~F;ovUYO-nfti%k7<TS!o_zC289;+l%s<+jd
zs~@k>nQz3{QLHbval=~d5j{4eX=cy7yF8scukz`Gnm}M@U2ZZlySqxV2c{RN_?&v~
z6U}}g#~s%E=<K$RI4(Jt@}ObWAC7Y^e>(P?P!>@K`f-FQV_1f&jXrFCy?aYh!q_+Z
z@rsEzGdDr~Fdob@K%L+PSmLY+&1*On>pgy6^Q~mF0%OL-9W>F8NgBiKLy2QGbeb3(
z39U;}Dq5nCHbT`kRMVdwPNq=c_n?hFTIGCs>_c>R@+&5Lkxp-awij;Fg<Z8ylIY*F
zh_<pJDl$?TL<MAy5{ZC4g0U8}t^Z7ya~RDsdlp+rx7>J`%RN5{MxW&G(_3E@Sc2SU
zwQIi`uvZF+x(+ZEUNB3+&>;Ps(+B->@&o5MF#<3idZTzR=ImxxYdzK4s=8h_5%;A-
zDU$wXTZ<k!)mZEbz{+%oL}63`&N=1y_8w3&`Uag@1rzs7to|@VlMq6ckz97SorPs(
zDph{B@*mnv5XaCIZH7_(p{4~q3R)-(?l#06CAaE;YBM8{d+V8Nl!%m+zRY&69ktl#
zC9||y8vRs;Qa0?UJrmrd*eDIaIyuhi2(1SKxgh!|o9bDw>^2To;lrgVx8S@L8WIv>
zDqD%#^0w#R<0>j;b=$xgp@qT;h(AV^{2&R{7Dga^q+CP2SFmPmi!y8LvuE{JB!Bwd
z(fx9;Y+(OMzHgS<{d3i?d*R}zXNv6GysY$pAlSGc$P-aMc5F4ZD$~v)V-VaX2vpK3
z&9L85IGLr_#?_=4T~4pw2_ospYewbXvn)}ffBi5fquo3^U#^I+(1AovW;f#T{LH{c
z9Dj1+b8OTyTAYPr<uS^1IK()qa(Vs}X+QFq0ELQ?kE)W=eE`MVv8F<0b6-Y}vW?>0
z>_Z7)4>pYzsQlMhJFmVB1`uuqy8j^>r2f&QexNdhi*z29(N!I@Scc{b_HAj@oM)-m
z+lJ?~2itNB_RKCT%Eo^sAlPIu%-))N+lf&<SdKY%g2mu@mc|wsdys{^A)?`dXY3ns
zJ1k1VI862%Lk4aH6mfZ0q=mpJ6=-XUAJ@DYy-53#9P2=_SiVf3@sSLRW1;5@ZR3jH
zCD><z2{>WSHeAHxtqMD+I4NF5p8{6ZbE>tE2klwa1C|a?o&PE6=_kR4JLHoL9!o@O
zYHFTSAdY4j_SIV3WLsIKsRVoCeIA|p%rv0(KCbY8stC|>{#{ZzR&}()9b2ESSN5k5
zA4-6n5lHLy?KuP%czOC5fx2+JEI)0p&_{$$<A}0(?!k{unxdp=Q5nLU>h$fdqysjx
zhlHvZMS}r$LBh`iHC!n5I~zfa&~{hAIq~NuE8b!AZ1(6<dUb$V+F!hz&A0z1?*HFl
z>$_5jwh;(NgLOtPOr`p4v%njW$gaU&UUp+CI@R2}Q=EI0k-06v0mQI9ku41B$}-up
zF3z;-cA<(&aJ}#WZlDge+vGqm+M?F@R2l!`>#RxgIrV#&Z4d02s5Ek15yoIagP)&Y
z@5Cbx%h4FXXD<qkK%R6RT`<8>r~ZB>>_kPxI(i4JEYw5$!V6+C{Kcf(hcb#9#uGz<
z!b2YTDe+ux`lQOG3Gi?jA=PUL;Tl9?1UFrIkRo+`J!OUzAT^AjM1WAKDAjds`7?59
zGbVZc3L&udm}JcX&@=!NI=dUTgpT@dFhS7=hqo=I7^Dr-+Y@TScHo19jxuDql4znN
z{2NoF9iUvL7*~csfwos?@PisoZo#0!a10KOAXp<3oU&>sUbG>%Wk=c&nd(I$s|*)K
z_;NsgQLE8-M~~tnifks|Rns)t!S{+u_PvJG5>$6qWh!b^8kldfg!)YDAq00+sI!@b
zMxG9S2zVu5n^WKn)B|`E^v`5Jt~uAiEl-azL+fCVvHy1cqF|234v3a?hDv-W)N$y7
zVJu{302|ub1*aUl^1F1`;~kvlX#Y;=Btvr8bpTncqmt1rAf6<MwQW-!z}-ukYZK%=
zWPqa0a(Vl~Eob{czdHdxX@4do+bIKve=VjRKfOZ9UDZkzj8Gc}mLqp*^3FQtHe6~3
zy#9a!1f@Bnb~H8?jtK-o&IT#v^0fxp(Vi28ZB9c~{EUzRfPa9(38)+Mj3JD~$s?&i
z!(NvRJcpxS>)5eiGKwTjX*_!1w&NE>7s(L15{fzPq?;~0mB)(O5{MBNN}e)e8cKM;
zcuiCxyKFnZ?;JJ7CEt^pSB(G1((?qt+AR?19emVBqPj5$R(#aQH{QiJgkm+Kwbhsu
z)&NacnF_D)Xn~t|DIqC9E%p4xi{H^k1eS+En=&>O@}nv+J@{hko3d9-fdI=^a5@X>
z&Bo6uqEFrIy<}Syg7RP>M=egfTIk#S8+k+U_2#GABfM<ad>ekCD*E6I(L#Z4V-Q#u
zZA3U^H*!csP)G6B1?^bTJ&NC668xtp0Zn&fmz)(kS@e{auSN*-=tE(l4+X<6G7-~t
zWRwSK3RkbYui#jP&bXeLVg*h=kv<GTC>u_m7~%v^sNCHQ)2Co`0Tb07O|j`515Kku
zE&I2Z#W-0d!G)=SAMh0~nJ2PqB&{rGtT%3;5M^4OdFopR$MrpJVT6p-mEq{HmWP8r
z*OrkETDwE$7W^B3oypJpQFL2Ca#k-KIsH{q8Bj@zMle8lk^4QlWY!lT1!6oCxyabx
zdB-ITzdRpENBJkS<XQ!@OxR`c&?+h0W6(BqtyzAu0?ucW9d7|vx&B-?v5*go1Hd0B
z#HrDk830NqW+#VeflhrITTZ1OgASW0YVzt7xOq`j{P;E(sGnTU?unV#qmRs9Lxe=q
z$WlIzHdQjbEooIo1+&*W{Tr!^U}YFoDuXL2%9(ttqliYlIMN6K-a*-sI?iOXS{Zcs
z`QZoFF2r&tCxks@`i$#IT&K);k2HeKWr&x>!ls3yJpq-7a7<Ug`c6ao9ckA`xh9Z=
zBI4Z41k3pRNG)hu6(FyJ+i{-T4XPp#8<F)x+^j$**n@{<HUmRYpo9-8h=^~BjEX%D
zUNpWD>Lk!ey*F!wfXg=u`!}he8+b5XWq^s`NA)a*(&Y;(^O@%_TnOqGCp{%jQR`i`
z%-$A!$nIlpwPS7m{ooe3j^#lIg@3~$BZ|mGavqEi=Zr@Y^l}LGb~NZIm~k~-nJZL8
z1{7!C%+mtCF$5R;ucl7e7(v1!8c4zlLk@B*-VYcfM+jF2^crkbt4HC9E>Z_eZI*k+
z`=Jf@)tX|~vwUyeDnCVrV)^fImQI(pYCB`)vf;N~ikiEYg|Bv}To+e;_(Fa6?4=92
z=5WiMn?L`<dXG6C+!qDiH}9Xvw)?|c@egP2EcmdAP26?um3M314{9zE;NN(9&a8c!
zn~S__hKH}#u9_=ax~<eVrMq|Z;QAx&S%qnh-z>siq@3(I$S1(UvLIODkFHA2b?w9x
zNdB1h_Vhn^&~$-Ce@65F*}mD;^)$B|C@D{cw9>y=s*MOqNT?yg;h3>;bgOj+`3tE1
zae|zX@sxHM%S1y1b?Pjl^o-P`$HGx)J1SqW3g1@jovV*@1+PzfrO^L7l_QNo`g~%g
zWnZgCQ1V7H-MIfr?*tn4nC25EKRpxD4NJw2NW)+X$V%3{yw1ujO2l17&B<Ha`2bNN
z%~<77P3=2klW%so^a~Nj8kB_k-6ahtDXcI!RXKHPv)`v*55Br{3B!ctRYVN_f($dE
zO!6J-Ym0)KJ?iMH5(P{El9IlJ&rU}-<>l=?6fIqVzsfSL&~b|N7}=_-W-^1F-2jhz
z%eS;dGKXcIHe;aGS$Xotx}Jog`eC@ChapvmAeWEZ@799az8AiPG+Y&M9*8pVID!ro
z1|cj;zYpOFxK_yei%=N#g6{MjkUHK4NHrwgLSO%RHvD9=#>a-oc*Hw{iXu*IKsnHi
zWRCu3zS&m}mx?)+uOQ2a#g&hwLbp`J1;KkG3Z{7Y;X1JV-%k`@l#PJe(ImShzg9g5
zv3pB(2K~y_tN2_-g5rK?K`9SkcFbkMP|FO2elo32Cwmai&J*ByI+cV`@?XCuXgv-_
zI;@I>f|A`osECCl<-7vC!(ikzGy|;Ydq4VoVk>1~Nv=WH!B53J!`d!;#QrH*kJzrF
zu@KJF8D+^vYS3sU@5*3$!4L)$4^O_1i&s)MB`i%?bj(dxKvuT)Lfb)!LJe$0cw-1Z
ze+KJuBQ!7oH!V*&G?(xb%?(JO535ZpP$<RVxKsI>ZSWYIv|5mi6Uw`F7!_-^R3?UF
zgHqG&JqNWhO2M*NEy>C@YhX+Um{w!Vm>qMG>`Q<XFGgP&LD^u4#hebRS(`MsEUDL^
zs(PmP>2ZYf=uk^-P7VjJR8!y3?eb?aEjFM0?7A8=ewaq%%mB&L4{w#nWZ!`UOjye+
z@87@w`q^j&sI>U0#8NhW{svMu;ndjT?c;Od;I{hu`fBackbQGc&<0`K>bqvmnlMUu
zA<XL{6Dk5X3JQwmy?S++`io45wxn#Uh}E)?%7GtcP>RW?O6Y(-e*b>j$HE#}k)je3
z6-kUXp+d8o%*yi&T%4YxV`c$2RS%+T4Q1t@OORrC4pZ~;^M~=k4x*a#rF{g;D_lKK
zgr`x<$ynUa4zClQiiP=@_7RGka0^gNME368`>CktST{a=ZRuK^Lg{U#SW>6nsD25L
zbgak>;Bv_pY=1L^nmw&8oC0NpuW69ezQRJWBceh=pC6vn&a^EySs567Ws;fu#SpbE
z?2_P=TVjN<IX_WaHx>qg3Yu=;8<{=uV=fhw-3L8bst%SNAUS-{OSBtl#$7znpJrZn
z1@CV?H65M~mfv$(=W~n5)z#HOtX={TqZcB~0jZR2s6M?Y$)?pOdt1u7BRxLA3U=ep
zof<g6K}-N%xk6O$4#fakE$mhgaAD!NTEMITe0OZ}K5&P-?nO&CQYZ+5vvlFYCn#X4
zxV`Dlqv@n60Vc^rHw+%Z^Aq3TluU|G5EYy72FSNyh=xj^BLI&b^0}-e?~;=nCJaQu
znS?`LE6ZMGa>|IENEI>^th5jpD9KWSJPaPI)J$(h$!lTnOm;{L0<(!jrgk#(lg%fF
zUBW=U*2QqtvcQ{@@$MSGs>fkm3E|m2JOq**nNLx0D)Rc~LH^E9h2pGlQ_U^KlGhW9
zj>Y*mz-`=H;4$f0Zz4O1hOnR;?b&vIU&zRLs~s>7U#i-bHf-5eRrYik=CF@wAD=%L
zumC~Rl(7m8h~innOAQ~ECIUSPqgViA=gqI-F#3!r^MKFL=I_|FozJ0lYpKY*a3ehD
zN2q#7kA6P#wh-@>yBm+W{|~hMtGvRou*`YroAUSW+4B+l`tTjhodx^YJCITE2`f4g
z{K#Lxs88MPhZ)gD<tN^1O34>cxzq>NsCHtY{1_sIqm88cr+anLPrPI{lMiR3i=s}B
zpqEEk0BQy-ZbUFL8U{a9eM>TUu<^Y=Ot?*I6W9K=Pk)MB>v8vPY)=(9_Gwb4F%G^D
z9@H0S!GB^)shISbBLslF)r}v#1ZklNmp~z@M4);emD^CWdg6XlsAM{tJ=&)kl%IYA
zW7EsiX10L8OZGTkd<dRz>TlsfcCMN`f4&MR_>^jOmz@Fv@0uTj3QSE;czMbWa!?-%
zQO9EaUb>Bj^ghzQ1qptXSU&(jl0qf&+!fmme=fnJFNudbjVBL(evaFX%y5uOk)HXc
zr2`Z0Q-L<{9e&ew^!l}H->gsBks+^nyu}=mty`67Nnnp+)s@v-OOM9dNeVX%4rz6%
zVsqzz&rHrje60`_*ievT3Ex!h5v-ahE@lWQ<5`8cQTfM)E|A|34oNIO$++g`b};?E
zI(nKM2t~;j%g)aJ-jr_C(^O18j?k6ksvS}4YM6iH5$XLTQ7eGVFH~#Y4aWk+Osc*#
zbODo7z-w6xGM(bR!{gOgno7ee-n7HOgts4j56OIxf<Bp?!VZ3lmoC294}cfrykzvn
zG2nZqjQ$&#=zMMHBJDF|r4J|wV*dP(7Z&jmNtLm1NtFgme-0<7%|}EZ`cN>f`S`SN
zGhqf%?6RcZ#7q@pt|vbo{Gfj8<L%U_OO`5SYJTdo`KUzGeM(yt+!yL`RaI|{y`2_0
z2<C~9dL{;gCv^IyFpxT>>M}&j=!>au|D54higiqtkoD2jSeniytZm7Yfdk}7<Eey2
zx9Bexg}UkPDF2w%i*>S|dN-)-SxEAO7)s0rCYz?zU-u;99RQ#uD_2GVWdLOi<EwWU
zEDT14G8_kAsCCi*)Qg76@$n+m$ddghY9eEglz-U3AsBV%p=D{#7d8GADZw;Ilfr7U
z9GKV)d+aq_AD`o&9dj*2uzbephNxFD7kWSpPV=zvu}wNt5v_5e`S&V7_rHzhRFsu|
zmmfT=xin(zXIti%YuHI3eRn{$QmUro^h|bqq%@)UvB6_7X(Nsgmv?N_F*&91*QU-X
z-E%MW_Ts%`$CdW!o##{h29}#)S)>=Ge_TlC*fI0c-t3!OWRD7_F`gdaH2IdQ1e@M2
z{dvjz(9`f!5p)&6FpAzz!xPc5q#w{~s)q$#+!&BQg^H~y&?;qx`k{5-fYZHBke8E}
zzg9b3N8Tjv{y`d{{GbRUVwuPj;dh@d`Wo5S=iPgQ&8Faj?Vr;6d0F)Q?8uDYN|D(|
z%0pcw?vas%R-g{7P(oL}mq%%sh?9^g3<ze369i=h=hvUH6swLJt%>n2oHlEk9bwAy
zt1w8IY7bBFRc~>YZK47vP=Ubk#5aIA$zXl?^tTp2y-^>y0nlm{i=#2{?rrn(ng_6#
z@KcF~wIDPn4$tBCmy!0?^v#EHVt7>*e){A^Aw{l=;oCibeXQkodx0Hn|F(F1g}Ct}
z{O>v72BJH?+q=`<-5p}bOK*qLV`+zK-kf}2jXiUdjEpuk0ckPGceh~Pd-wdtNCy)Q
z8(7h_s9U50fg;t@h|wr2iZT?EC~zY$6b8a&<=Hx+ZQG8+6%Ptd6{M3{{dhgwH*8~`
zND{6{8gp#Zj>_QO)5svY#N&21STNs`vRm+OED>)-{uCcsR$Icrk3pzP<H)-eI+eP*
zd4EGYF5BzTBLS*&t$g7R+_dRTo6pc}Tf&$6z!fQ3Ssg^ne8E$#{;V&i_I&oi&Kd1N
zXD3dqT$fkGa%Dmc3}bksREe?0%a(;9Vo*>>=qR6K=Vh6J@6*DK$P64!$-riDNlAv%
z`!q~n=2V=K#u$>|M1FUD!!*_zty9y(F-CkIV13h}{^M!p*RSe03O_dwz(6h*;t$AI
z&5lyvJbJ`EVR3*#P=Nz%iL|+dP91~e2VxX<(w(qg877{2T!l73vJM_SYOQ?HM*=p5
zWR|O9Si899^C2q-kSfufD;i+eM*axAmCGjb&4!6?ib51D+H@t}rIU?bu&Vo=JIYWx
zB}3zc(L|Z0&B&(p>-W2iblt$L`U!sCCU}6|zklC;u)(Jnv?3yFa=zuYNyqG~*pYDV
zs7+!*Lb0kQ@0Q`SLA6cH1X{2F(UiS<^=b(pUmP@Dgh!4->F7oL9}K-pNa$pwiXe^)
z0da9vv_eE#b>{5Z>Kai20R>cXN;q%Pk2F5IYTw(k5g#{Ny&@cOUt%;RTsV-nDV!4x
z`YRcE;-pAG`H1g(R-IwPM8_9Xo^2~BT($)-g(q4KpaNccDGyKdyLSpWryxr^0Xr6L
zx)!K*s6Qg`KM9k2>d(d=$7Tmi7Awi`aOjAcf0v5^lnaDCwz>WLIFY+SQ(umUs43A<
z{<}*h_*~?fHK}~DFU!97H`R|aX=)=EqlP0H+3A1?<iL5mTivRZh(Km#{6t`Mq8sG+
z(I{er17CC-k+i*hnXPf^GXG>FB^SfBXi*62EYdR(H_szBGt(0;GYVzLqoE|a_l?~&
z51$1QGkyv}qw-$s)|^T0!GhKJbicefe+XuFgvYzRdKF8mNti(-E)lH;bScYbPktvZ
p^UxovkzDSd&HX<m81Q_2+AGduGlEZ_SWRvYb>C6>*gdDO{5NpLL<Il<

literal 72663
zcmd432RPP!*gx!UFKs0i4I(lkl#I46gk)4!l98FcY0^SnLI?@jBzqT1R<g56c1HI0
ze!kuA=l}el_jsS<8Snf2-|M*VgX+3|*YEco=Xrj{`F$iSEl#_JVGRup4K3yT895r7
z<<>MbORuk5fxl_+3L3(X71t%j&)_FsQ>QbW@MHC@^H<DhXm-1h|NnCD_^m}lvxkOq
z=A^v!t6xoa_FJpx7Jg53GEz61ZVLKx_QOuLyL-0MExUMv?e6?WI^(SyZ{CsnxQ0zp
zSw416wOksTJjd&OtG3CWSf2DyWox|LCbm6Rd+(@xIZ$`Q%F$`4)LgKRIirxP*g&nU
zV844o$$$@^j%BAu)7&o~GXrN0`XztvjfUp3^qKITi@(!^Gi=UW{QcTRX6wKH{{6$7
z^FxbozkT+3>+;2SJlXeg?c%T7&feX=`0Js^%eWVRy}Wg`+TyS8*#46jK5zRgzF_N?
zEx|8e(mM<nvIZHgzqb0pg9qA;`T6-@c%GUTUuF3mT_GKH+<x+1fW!C|i|%hHA3b{1
zsUPs{*~Z?tdudK>63-ssd)5&>zp#&w@6zhks~<mlRNgW_o+2yA8cpvUBw$$2cHqFd
zlom(3aKEKAG<r0fGkLPc>-8B6eJh;e<KxqRQYEVrbYw309-*{2&KN#ey_>^C$e*2^
zUGCz=i{E!`SyJXrfAjmhAjh#N^_$b9J=1M2OsATDzUFx3_vX!;HN{u{+#-jcm{T?b
zzg~#gT#rnBx<%CR@UVTh+pMR*fB&Z7-@kvev$3t}7L`?G`|+jLVa5Ab)eGvgoq{>f
zn~aoBox00t^K(;9GVKim8#`l%$u^g{*sfB+mP41yL?#;BlYWUUOv$)U473-x&m_ea
zFgZ0gW?xCr)|$7fGY}{Z5K%sR_Uv?buzR9L-ijRel{7RTn3%0KOw&{t)!$1l9NV>i
zw}`F0er;?u)54^9(#^_qwJK&8T+d(si)wt>^yimNF=|;?WrTm<znZ8U^ws}(-<Rk6
zgN%f3ot*q#z{GFx{oP1%PDin~UB2$glXq%jl&zY_H>iYX&kP*rR85zsjt&=da|j95
z$MrAWq1@c8++sg+p|0ODr`Kj6t*fZ&l8VZ&B!fUvhpHH5!I7+)fsDcNW0V|+8OyB6
zA5S_(o1GRM;^JCp1sh*m_SaLWD`***!zz1fe`8fm-dn~UsZ|@Rs#pHzLH5G@jI7`%
zxfL524aR3DYjfu5dOP<#%%1$QmS4X{N^EZQQn;U7`$nDZ0S7O=eOWAGH(vF8zxYpc
zAuW36b$QS7+E#VXt68@_SkpjLCC?&axn=Wa^TDi%>8!b_hcO$(X1{g4pP3k}ZO*cr
zi*zb~b5{GhW#!uo7?g{l4O_Qui<Aiz?VR?I5sgrcx$3Dr|7pAW3+CNI=3k`3v9Ojc
zU9Dzq(c!7&tDY)3ufpa1%QD0A*Y}_R5j)!#gSci|7ISoKhqt<b`$&zlG41sH<0nrz
z9h6y%+@EJ=3LDnFKkF}K!CNe}YkiYtgCQnwuYrlK{~*0b<TjlkU7ZW>t$$xPv-x;;
zx!$+eclPbOJ96<xOSVIOig6(G!Gi}W&!0c1hLrjV_T@j?a<Y!~>*}++s$V#)$Q5j{
z4~|hzk)Q@RPT$P28(hJcj3?5Vmw72*=v&q>H#g`c=*=OKnl5?aLUrzgwWVVp@2%wE
z<4edjbeza&@hSM8c=Hn0v{U4}*$aYAA=6`hlGJnVj2F1E?Kd7_wr=xG;cgW0yMQ&W
z*OZ<lIy-dQm4Uy=eqi!<dwr@&yN$u#jaNH9osYSiRF&;u=P+KUV>|S5Wog&=KvNWV
z&g`(gz^2sK-}^1y8PmsltJn6<t2xbCnAwbWmoxC*c$hX2pu0lPH!Q%mNQLo;?z5JL
zm3+yunZpuhvrTxe=_3NMl|5C_R}z>hc=`$J!I+W{cb1ki-FWi&vH8N>gts!8L|;MU
zfV6DeF+J=Qh09K7&fE{MAEr<$3O!gkkL_Thp?SArb7uJao0V^En9~&F)OP3A&}`r4
zSE{J3I84W(ct4!~L^s{GZN9}xdeziY?X~sUn7uJ9e80X8!b7*6*YDPgmGKwy%wUz>
zKQ}v4Ms_1J1&iYwR>`m0@vi;Jjx!A{zQx8lbC#hUDF$_K8XHw86&Rzr-sc7hb)(o8
zzJWSe>V0Eb^+qXC#x2>M(`IENVH|Op6=4pI4iinC!wF@geP#{V7_%quZdcg0eR~+T
zt6!gTvcYN%{o8A0u3vvsAWN(6Fs86ddFg#Gy9(Bqg{nO&G8xp>zP+_^amCy@Dz&Os
z{+l;%X7=x+Of*@wEKj2S@Sxk@s`;?D_*43}3398k83RJ0AtC35YJFb6zyDi(VOq&-
z3V%6l=Y$!mjEc+Fi*0dQm@6tQ{LRK^KY7b+(iyiYhxjy+Hvfb>`!eU%#AoJ4^lQ~^
zS+F-IpI{q@UJO3hIowkj=Fn_Z79iq#<R;a2v^%J(O8!$pK_7;)cE7vu8yV55{J7ut
zs$AY=U%T!;u82XDm5_LRT~pIDARrd;ynB9Tu(mPHY^>c~%xi|FExv$}k5x1B*LYgw
zKv|Eu@62R@*t~{lbExF@5tE4={kW{;TmgfYY*iVtxkMqWf#{z<Z?G^kclSoc)wF)R
zhZ$w3+q!jfmSMcRJg?EXa66xOaj3i4{N<dve&g!sD}1=WD3kWj>4-l`j&sxOuB>*g
zAO0$RdHA%$%y>1o<L|X27Jc7>?wxx|ALPlQG;P0o`7pzpx02jhRVrV<d|?~OOsUOI
zP5r)WMMq>*tQ^Aq_3PIY4I7e8C$@Cgwqp&D!HCV7x5aI-iHN9@%f32h_5!&>NtNn!
zSn&;et)xYJG<*M{Lx-x0JURHShpwqw)@eO<cURKWi?kj86%lbMtaqp_Pqcc!f6nDm
z1q*l1{rmHT1JW(}eBHY`I&4IkSh9v9^*c*^I)}f<YicFbZQZdW0`bw;-FrYo{rT_@
z^Nu1<vf~&8jiM(ftw~JXf9~lwr}+`4xUpY#3F2h@>XY=t^7GGxhJ{6`=Qv(X(o^vK
zs%i06=HkWYSCb8HGS+sN2Xiz97I#z_rZj0AnHB7|vUX69k=RA4wsQ~f6^+WPbx=ER
zGFQYA_p(?u!*a}S=0t&);HFKRY-fKLuuxc~Uww;J%_!pZ^Y#v7k@Pw*G$G{8>^#SB
z-YuJC*q~UE)|{R*KNeToC5m|OKH*UvrR3MXex@i(bif)*?W6|Hg3dr=nltlhDnj_$
zz~r8a&?jjZ!leD#Ih{tkF9vHCxOED2%<=1f`|v%@Oeb`#zagbew<`Q%=$Pj$Nl$8h
zJNWfpT+yDJ9y?j5ZekK&*5GNi9{b(()06ExX&H`$o6p?8zf2Ru<(ch_DhrRnpVE+K
z7G^U1lhTeSi+(qcRJP;Fl`EpvPROspm%^k)ne0$cq**MVW*8P%xE^BG^|ez#u<_Pu
zpDxLq@s%4G4^7NEj#VpZC2tt*YcoxIx?RmWC^voIzI{)zrWmHCrWoBbRANp0#`r(4
z3$`Wep(N0f!C50(C9UG&lP6K;Vk8nh_x4u0>G09*tkbd|-=+P9I%=oB6c$EUW+c3S
zFWf6^-u-N<5#uWy+kW@%lEB_W4r=R}L=99-3t8wGi?I?*U*0;p>+|cA_t+1$1f5>F
zUr?~Nt9@Pm)G>S#lceFLnxK8*!OSaOt;bgcI5}e)$ESCS-?4TdvIx9$s7qgUyMzi-
zeSNf;kWhN=LS6H+{mJX{MzY2bJ$TpU@i<QRu#Utd5_o3xA0N!r^is~SjM1QXKCE98
z%{w-g>kvqNYSCA-BP}iMTz`F1X@Pdh%QiEIfn=j5y_)hQ{aW^F)T^?aY=_<yty!~X
zbgC=RuWumbjok<`Yotb=bA6_bS*QgQ>YZ9OyBMsIO4H&S+S-u{QHnx%ghAI>=aDQi
zV=r#?*gH#C_F}bqdX*LzUqUJs(SA7o$(eR1k_lgbb5=&KX+w&!QrB01j()8~llF6}
z7^LYRPq=6GTm<iAJKrreO0moT!tFFwyrwwrO2RpBbw``Du3EP0OI-AE1>b^Bm#)?*
zYBx=*N-<VPk(N<0H_h>^R`T72S4S^mhmS?1%qkmag+|4u7sWM~-62yp^Zjn2!)ysh
zZ0af6odQQ{<I;QC6IkQ1o3M{(W1X-h(|<hXF#q}G`I_PjKD=k+a^}-tNr#czv}e$1
z!S2DI)Pibbrpoz*e;}U5w()%nZovPjNv^&~L$cvWD(76KjF<vag-n0UL(l7?8&B=1
zMdcflW?#&iGASZ2@lLZ?HTayXc`1MGc`5=%@S8XL;yT_+`Rt=Sc5_qo=2DH!D%-AZ
zU#>FPl9Mx#J!52+>WrGG2az~Ru1QJ7<Uv{{=E9VeqOT**W3EWHb?0VWx^n%YlwSxs
zRS}n16YLSzw;j6t8fhacHT5!=x1^1Y%`~!Sb)*7^S;jz9hPU1E&Yy)Ir6#RZDm78J
zeBbV4rf1f>oW@)6ANGWh<*%2bQ$M%N%}?Ygp~8r?&#Z1zzi}f3^_~X3ZR?$tB?W>8
z->-=d%qx|1K0;dhM#lW!$_<gPU!TA=K7INm<S?CB6RR49%GOWI1)1D!XV;UKh53o1
z(o!s&7*bVt{QUWH3{R^*(QFrYWjtdryAqMGIHnJ^hL+J^4nH2TCfZFHb#!$VcbFFT
znD-)H)@NA7HQV-aVm+7YtA0#%zFWxils83q0y!|(@PO3IJuZ1c#atOueKj$cEG?5!
zGum88Wqo+>w{0d;&DD3;?jYD%=+E`3FHoC|1mgxdm6OA<a;P_&Pwiy8ld864hYsBp
zY@h(Ac^k8=llN9!&9Y6}!HogRuo|pE#h~Lw_O0z$Z^y{8Gk2bTlHILrYnwiGHBiW+
z$UYNOrdB2{CnuNGFxWgEuUTL#tb<Bqre&d7g`2W|svYIOcau@At6+0DN-f{t7iDE%
zJK=T+W-574(j(9T5B^CSz{|GXRq)00=X=8{4~A7n<hg9<`?!+nNU_uWRF|il4pX;&
zoYTU5XMZ~?u=KGS<>GZcR1c3}OtN2Jf_CZfWR9G|9eek8k7Yk4F&j3eSF3PMi4C}4
zD^R@I{@K;Td?0=HS3+5lFp1&)-{VhHM^R$2A2{%~erA`5ZQ?OCBWY>3V|)FXu?mVb
zO*NdVVpSV7hf@&l72<+WGKKmFy5+uGqHZL{edy2;#AmHWn=XIGlz1|)jkc&bOz;H0
zTE?kuEAos|yp@}K%o*lpCIpK&FbaRyPb2C4&<HA~DXVv(lcs)JdnP7Y?``n4aKICa
z8c!6m2GZ|D>Ksj$2&=p)JoI5{r|A4_mzdJ!=DG2Ul+STabNYEb=3dH<A8!ApU57nt
z$BF3hlq|arOu|#FxExQW8^<h`w=)cTb03zImAz&^)1UG=CZ)Oex38LQPv|)l6BD1|
zQ1uzLEL(-6XC7!Q>l#D6K6mx1@0GWx7}Xk-<pO8M6o!@j_cAQ8$$Akk@oH)~=R?~q
z`ktO1?X+ZM(8=jCAHITii|L`f4aJ;0pI#mn=W*xc<EuR6{p^`+f3j_Yaf_(?_$y(X
z_fkICu+}e*nfy2tI_4$Hy<gnz(1fj+&F~GM@8Rk>*(TGYH{&`ma^)FT#tFYrzsVUL
zziZ*RX6;(n&Qd?SEEbHR?Ye@hEV~JbmV5S(f=?7=Dmd$|I;-M+%Zcf7rggk}!wL>$
zh?$MFNTkP(9qVidY&(?Dlz6kUq^rqgPh{^#T9)x&b(an}>y!obTZx1s34DznMC})A
z>40e+I6sv8bN(-7Awf~U8TFnG83T{7uPz#8iOmk(6ZfyHtMg3$gh>6A^JQS5`rD^7
z-YUjrGkM<JH}5p6D{RS}|594YKXEZmEo)72y3>@Dj7;2+J<{qggtm(OX1CqPg^PZD
zj}I;?*c`3@MP0%5`Ij%}HBrE-^_e^MJBTD-%VZ3+AAU5Yf>&t!r)^ueT0fP%+-xEH
z<~{w|pJQ_SF0XDzFt<(|LwfbBX^2wdPOvX<+g;4L{qM2ww`aD-6)0v*s6@C^Q~*~>
zO}Vp1<wD2O1HG|%6{hz~_58LJG_04`u$kx+BWc(4qp(<qYk{(DqpJF6$~cSLlHDVU
zlp*JRv66{;)saQ3KVSRgrST%Lm497c@ad1>g-QxAQB!HrSUQYx7cI7AV!#nlMvtz{
z&MZ^xBni6DZlqK&N)>SE_Hk$36KRhhKNg;s$QZ4V97B55`}CNOF~#3A8FAQbYJ=0{
zJw3pcp6vGab`l26vVLw8wn}L<eUdhd(t6sy!A!w_a85x9nZ{SZkiDnzP!+fxQA0ta
z#?&=sVa)tSjo&pzxVht`d;n4_RR+p~T?*c9nqO1HFR$wP=^-;=D(uF8m1}vcD&BNB
z?XrHX=lfj*$GPzaMhiuOR}=$-Xs|+c5)*w<C)Bt<CKH4_g{UK+Wjn^+^m)#*1CY>9
zQ%I3nHon_^#KPdCtcnVtqP9<;=I5seQ=(`3J1)JI`rWrMMb=Yzc=(#))D8P(!=!gx
zV9s-g2Nsxk`S^<0J(u10va6uMI&-A6bcEh&0`Fe`g@=KfbY1k>sZF&kja?hhOG}U2
zWQ@=$H_r}O<?wj}A32y!H5lh8oIB?nVm5eX-i=k|Ik4o59ob<wQXlrFg8eA%82+3N
zLNT13pigWzU8FuwX&P{0fiH{k6vJtb6Ti=8T{t&9S}EgKjJv*wV0i>P(6A+2gl#p7
znViSqCiGA&G4N?WCGdveFA!TG!hTOS<T&M|xyH4Bo95+G2kNb;tQ4ugRFAr#q(hv^
zp(@P5oAq+7EKf*CNH_>0+fE;yM9qTr4s&C*+HbOWMQlfhB2;+PHcYH`W8cY<dOxmz
z?ChR6?`sW-H$Bqq!A?ykUMTkB6sh6xdo8&}<<NAy{cdF*gZjk6U9759qnx>M)8b}}
zTGh^BAnh>{JTsZpze*O~xKxq0`aFlED6o}XwD-ili|@*0dVX6sY5oRaUZ=acM&dBj
z`Jjh=n+JYhyh5#OntIG>Y?R(}0Qs6CB)I+5qhn^BFN+7-FDTU_oo3Yt>U`Y=L=|(@
zqTusq-{NekXRByvS~qOY9O^|ueu!`C0uai2M&a;BTUdQNzyd9&WfINIO>bl!OYQJd
ze(~(tYt;0(8xB!XHH=<opq*)j!`+ZT$LR>EEG2b^BvK;aEtIa!Ujb4>{=hX>Rt^@H
zv+knP;Q~gDmyL|soL&vi*=W)`cYgJcLV*y4nB{xS>@C5v{=znL>s^9#8AI2*<b^p*
z)<+d&tyJz|6mr(EE~)7kwKG>(*2fUJ-uUo!dS~fC(HOuj`7+U&=&LD4{Yr6fz>7`F
zbA5|*(V%Bstv*3{!#?~(eKt4D)N}Rd*k&nbjc%}n?r8)1!=n54ol;V>2~8U)9;1JF
zd9+|kIQiO3+(uesf=<~QyX4v^B^kr|#KW}<<0(00Mr=zmWb%Iogh#oJSU8f3k3?@_
z%f6VDUet6W!AW!pawRM4r`+_d2CTGSOzgia*u{~Y`RMWEitvlU%oMwcf$I6W8HLN2
z!)w)@R4dZ%+n`j9N^;+f+X7L@=Me{Ts{*`YY1hnnf8U7CLF2|PV=NSXgqjn3Kdz0-
zEZw||jxO}G>rVZO5DKYdrY2{nMntrCSSs-@wOs9zw>P7SE2AkEumx!SOWUoNP6LIM
ziGYtCW9Hqc*0E2M%zNa<2AUdzn}ECs<CAXLADNhVB<6B_?qKcSsu_;{p0L0gpya5r
z<-xpnQcL4Uy~}$WD|Y_U508u#@~}K>@AH>1eVlmDh(fxchE1d0eg$!|+&P+R0D1#c
zvbx_qDbbo}zSXh%Cuc$S(ZGUjx=31A(@aCt)TkRHAI=zdl9IeEi+N6j`;L%%SKsWJ
zvuAA@CAcW3o!71I9@7ndxgl|6ckKYU;u~B#Iyy6nrBhF1hS%-j%~x?m_#H#h<u`Z_
zbnKa=UdxH`24nrEbPH+-vJRrP6rXkpkISiJj<c!atSg-e)ztZ(J1^=Vt~5j`PHnp1
z*hxQj!>*&>^q2J8+dqHg>Z-6XKlg{{prh--B#_~CL><S$%PUur#?5BcY!jwt(?M6<
zAD551WDHmJ>+?TuRpZOAZ{GcFufK?$qIB3LF7M)C!5;ovl`Ze)W`aj;%1TRVFRSva
z@~F92Saf!E%_OS6cGO+<b8NFgXhW|IW`wU&CD!0+yX?E+c+dHhF(6R2oTCrUO`!Df
z>+qKjtBF&0%J%E`#;Q9Y6Y%Ts*89vNqu);dwVSUB`(L`zPCHQ8rXtLc>;Cuj+2P{S
zpQEV4LMR>we99D#sN5F=zzto=WdBXY2_t7wes=po0fCx!{+FT->4Yt2@6U5s_wz*4
zUmyl#?}CFe`22K7C#SZ~*H`5rwQ6~_3<UfNCY{9QCxdGn>N#f20-4|L1I#59D-v($
z^0nL8#KhFepa(8A4LWw2#d)qZbTZET?VKijtM!CoW9mgn3mFUo2H}VeXV08@F;!uY
z)N%V)gSvoUsb=(Nlr!>Cu_HFLs@=$4-wg!Zl|vkMpC-k?U&r5`Q04xpolqxiWF>a1
z^|nkynhKYDLtm3!g(_RLy#aUT(A|Rc;tqDc8y9+VD%uOwyBGF<Etsl<z97Eg6Sc4n
z8JZMVw`s+0U}3Rh^JS&Y=4}w0Oe}q{Q5mf4mIG4H%m)f?W9^)$GFrFZxjp;(2EFrq
z%fgJ4c3dmUZ@Z^?4M6%L!(aAyPVcsAycl{JyhvD@iY@(C?9SeOAD^&4ad)pB?Wrss
zBQ&gjS&p(%+9#EHER!<H28lD`;`(@GJw)HB%NDGKt48OM1j^=;{CG4@g^C;_%!93=
zzcHanytf~^EE|)43d8Xb!_jEn?%Fx*!sOUpDRAf4Z~8BNpZrd^Y8>?U8x6~UuT^Yc
z|8_LQGTY6}KKsh=@8g3laZFCL@%3XQ!L)DdU3-zIOa{owD5GD%Y_3{Ky&CbOG~RIm
zq&B&wd4V*Qk8U<EIs#h9IugD;*s6?ro_pl`!%h1m6?7h9c3*CB{hXh#TS#Tm64jjR
z;C8wQOd4V)7W+clUg-cUYk_8?rY&@_+b8yae4@8Q$UMC6Np0IL>k>VcH#g21^{8Cu
zl}$J~6AYZ#`93a%Wrdj&%a$Zcc8hjj^Oo=4@mJLyr?dilX}w$+ZNI3@cZn_Zl;0~+
z-=52FzIXNKJ`>0fzQtgNV$4f^0A-7el<-wI8$Uud!xFh!C;Qf5-B`VT+|=mlB4Bny
zt`y^z=B`IxUj;cB{p?KN0l=9a-6cA4gPV;_*4#WXZ4UK@gIdEt+%<nDkeJ5@Qcoj1
zQNK1hFZ_*`&XIg}taB1Xa5M^O#R(qf<*c0-4^I@95w1kSX)^uUbq-LFs_Ev3Ydxq`
zQ1&x=)d&4EDxraCbWY<7VyddDcsqWyw<p<8nVQY{=meA_XgD;x+r7yItHl^cOG9&F
z&$HIEN%@~X**sl4^V37di?S}ssHr}aj&J||(^icpE@fNPfaUZ1mNB3v^gU|wMn>Ie
zWMpIv+^%1rLYl+TZ!<^)kJ4r#gH2Ygm<ag|9#>JLZmh3%<&h~xI>PRV`(;@4y$u$3
zSB!|grgB<w+tb?iPCsJ-opUJ-{S3m^w|p85B%uLr+JCOQ#D`Bo`0o3EFwq-~xrC%7
zUoD5<l{w(6;q&WKSsS^IC>|F8cty4BODe?Q944E0?u;TNX&>su)w;%mC)U<X`9L|b
z5j=sgEMm(;691EJoV>-&CI!3y>gn0_^riSGxl5O-Q%y7}U5+o}bm_y^9!?ej331?=
znW<@{NL@s6haC8((us6Yhw1LG#|ICk*n?C#f`DR{1y+^OBS0~K&S>X^5W@PB2Z&pS
zlS6HtF7wEJrGa8C?KXa;Z#Rfeewf{pZPX-G9jC62yj}y{MkM<c^dqA7G1(8@A@n*b
zy<Vt(F12%_3$r5<GBUNd|5}=ePyI<9FLha%=E0A=CNe1pha?iWc?OcE`KvpPfis3w
zj8e5#i$j-5Ux47!73+As!(;+u4{LtzMh@-V?tv8xqD&c??cxN)9P_7lZje~ESJdRk
zeWHaTQ1^ggXDm=gVStrK!Ez6%jqkr}L3>33Sp%|fssHg>74`Qw9vK04qo!?&jtdVz
zf81(79wSneZ?nhkplq$=qsV+8?l-}~BA@e{QF+FK7IT>H3DcI*z$yosqldN0xMd>I
zxJ3=oFxGPC-A{T2$u}zxxHs1k+>qhcmgnMEOvvRN1c%#+ob-219D#<l-Hh2O1ipz6
zTJ@-GSfHlwS}%U$b35(1l3-JCV7%TyE0>MZd^ajPLBC0aYDwuDm>lXz$b|yo`QimL
zWxC91J~(H#gIlz}Sj5N)Oq@bc5+=@*=k@}h)qu)r>fS=#@;7d7NgMw00z6P}kPZ;8
zYfQ!lK6mouNgrM)IEV3krKZ{QAhhG8RF^Mb?pV9O@N$x#XYIH<^t3|>kRDzSa*K(z
zfbHeDgd#8Zp_`ikKIMwb*cd=(HBd1t<rf{C5zLu#Eq|{iX*P$^?+C~N;p^LBIna2;
z=$I7*9KMue7QOOm9ir3S`*YM&2)kzi#Uk=?Z~l3k$l-eLRev+kc7s{9UA6&s1IOGg
zyo(i#lsTTnZ@!bMMj}&kCC@rdgjmNUa$o1PwY48utl--=x9O>7aY@OMVpeA6Wg$?N
zY{IVS_z4(Bs+7?wsc6(dEE?i1o3T?v<~R0Y!X6DJbwEMi&6Ea?Lrmc#9{&D@AO{N$
zO+XRy&M3o@Z?BN#<}Vf<|E}5LHOA_;gl^=I<ZmC-cj}RT9?w%SJU(NPTH_l{QI!6}
zHb)L;OO*KXM^#Lt>hCtW5OXErbJsLTfz$4WPFOo@ib-j42#lz5jvL$#ACyL0&z^X?
z>zEu-QolAeXWeSc<<)||8ixoI335fW_BcccP*X`I?LY|A2vtBfR#Wm2{w%Pi(%C1t
z){f5q`0-=3*>2F&rqRK&w?gE_zWw{h>U08oeDz}^%ohOeE5QwNKRnz_wkPtD-P1WG
zg*%zfxhG$%Z@|Vr`()eAANh|wYZ7i0Qg2JA%I^bdtnj0R3026qicm=hhAnnrkm?h3
z+-u`^bDvQ>n*8e3F88)uk$l4UXOc&{%5qu@rq<_A9bR`DML6H!(Vn`5umaAp&`+N~
z+deHgZq`|HTPl(M%S-VNXoAMg9SJrg+HoVx?%Nq0^Oqj$sVq=o;<<Jk;LS2HWsrPU
zcD+@Tg;LsS21>w|ee+XgPU8t=g=g>m_~iC^DXCHV5mL2IOz)k4^MtG7F&&5bukVM6
zF99(_7Q2WjO{u9z37&Ts9)9Qr0{Pc31B5bl5F?}MWnP@hdUfx$ge-brG+VdRHeuoE
zHKxWx`yjXs+f)yP_thN7EFx$eK5nhB%+?9}yarhAh{LqGMNh>iO_fi>0I}W3Pt^ck
z7Kk*FAVeQOd?*WYY#_CLeHLg8LKn{uxrn{+`Ag^p7bq42bn$lY0GrMo7X9@K6bglW
z1QS|?g+aSpNPaML#LaPjN(Z#1r?S$XxS(4byKDCYVR;<5P=Tnz4{{8t?P_^>xrBs-
zoI9fkzK6R9taUoL;(L~^%ZF_vz`_NC{Ve+WwFWad2HG$Zg5u++Pvzz0sG#=Wb_Li;
zLj$UUCK3$q%k6>V-?>ILmE*5JNZYk(Q=8J=w~5$hKE={ue0v@hUyB-;@;R*OjHI%M
zf;3i%i*mU39Jt`yja<fCJBY`{BSh90Y$mhZ*d;wQe$PI&pyufgzLK_mplxDMDK-rX
zZR1kWmFArtt5x?tE_hdizO&EY%ggfQx*%+bT#r&7uGYFg{-$MBcuO4UDGn|!X@IN8
zuCBBe9=R27FZh{PUJwK#?`fNxXkq%X?Jt_!x6W=Lj-b~o4*IYqfMv%BN<UQIk}cuP
zOX_NvLIO6Xfb_V}_s1@Df)?V2zM0w`<P|V5Z26pP#1Ib4u_%}+sI*s{eu6Ue_1`|E
zDjqN}m%#4>T=1ieUv&BGJ?(t{&p2WiK1e-_INNx5#s6|BiTs~5IbkTs>%Z)tdUL9Y
z=Ds4>3j+b=aKBAQ5S}{USN5#akleTqzr!fPyKaBgg_ATuA1@cYA2tk~Zggh-A&|K#
zrL9oJ=vYo0D`1|p#+MG$2k8e_?OFVnmQ>frkyj(VmKoD_-8%XrFp#NNd)Wn4zdk=p
zi;C8m=x;m^AS7|&f+rkG8X6kme)ni1FNL{Hz4h|<FI`#7b3LK%g_qac*;#ww@%!n=
zR=tL<epXyul4@#dI(dDwHn=7QS=o&>fjjiygoH37`bbbs&CC>3RCfK?w)a^@MTNYq
z?4FD!#@@GkZg1YQg>L(HR*I0_cr-xGsm6WF<e+SWN%r*i-u~wun>TM|V&bM06&HKt
zwXvlbKt%W4lDV$@@A3U_jPU=w@on*z|8r~NVvx~^*C=PBqYw2rWhfzYRYGz+2u_5U
zBHW#3gJmpkXldP?8t#||0c+k_vV-5aStX^(($6S+O8e}&b1UqXQQc}4d))+G_`adP
z7rZv3<D>=)E33D%BWfsOv-<3|yRY)_qAPHfx`sz<Q?^3}VvBsIiFa{F<v7unfL=w4
z2J4d~Q7u+LTqTSoCU}K`avskSL`1?EfT)zSx6kY>3ygypcoWVgiSy^#5&}ady?X&B
z8AR<<WeS%4JrsK~ACzvS#d1#n{dp(9b_qR64#2KMHVyE}TzJWI5?URSWi6DqDCpsO
z&6zfOzz5^~4PoADwg+D~%ulwvlSocX7+7rx*EhdB+gnstR*P(+^mZ2hh(z$i#G0f(
zyy#;*QMyH7b#q^AhBPFmODH(a!9GIqyDDlt0~+~Dk2zMnv~72g%T}yS<YsUJH;Y~z
zMBuIhLuN7jv+%ZI2KZ8n94=5=fE8I4LfJwrPK;W#dEfAq)%Y_KOLd_4qNDNz{aU|e
z#tJ)}gTMu!r><B>FWWf<A4LzC9&cs`+`wNA0<bbxq=m$0AT_YV#?c-R9$OzJHmn)1
zKv|R(5ECk1dorshml-Q6dSRciP`p)4AJy{0FY}BUb~2W04R7J$p%N0GvFytio<NTf
z0w8?(B~cb!y0?PXUg*Hzm!aW5{axz4q5_M^&C1G3x*a=ulBDn+77FZe8@?w)QL7+{
ziD-K7i@7|^x#}{U793%ms68|RczTeXU4nQIa$K~9U`+8jWBLeWNRD&DyZ7PY3{Gh-
zp48@F2qv!@c-kGqPRYx^SeLg-Lx1DCe8b6uyHm2IP1pAAG0KxUlfN)M{bE9OMa{WJ
z=fDb+;;x@0mf<($@~N1wsx$oak%fhY&qs64L<_=hMr8&o2(8VLCh}`Cp=cp9MB=AH
znb<-m=3?~oPGe&J1cFIn?txMZCe@z^2E3<_O=_0BJWLz`wO!}jc1566P)IZ4z#@?j
z_q)C4TE)j9FH}{%2llLjnxdfTs1p4MX>&LE3n1UpvZPgFs1<^YmfYQgln7Za$Y{k~
z=EH{%S6w)<G5_;tb^!r_s?rnB<h^p(;>_N1>)GE;`S~e|?RKM6xn-J4r>#YDQk?;A
z*moPZS~T)kI5H*iivd<BWLO%42qOAESlV(FnTU(1T#&89!OF37a$X=ai1o0;dvPU)
z2azub(Kj!=oZfuYU)roLOW(pG+4Jj#cLKWK_QZ+k)<$0m-oh%a+glYu{mNqHvVkcU
zfKfm9{_3JHU%tTyVF6DQ;l%Ime?hRAs^e6LTA)6H!h`;lbRadpzZkz3T-gH0>8Jes
zaM+plf4$~_s;6^75-DY4N*mD6?)58Eo;v${|9<(0z&hj~P5}Wz9D=kDGFr2Qjh($H
zIB&=4eGj~GJv`wLfs)BBDeKB*X<1Sh0zd*Z@<P+63d=}Xq{N&Du|r}<&}kRnyfr2M
z$CWVmy$vaG*Z{pXF;SSZn-B)mQ9219(B|kz1<E~<1}kMpXXkVk7l#Cea#(%hmgrYs
zHdJd75fO+5tgGp@F#wv5ZNg9))sN;qEY-e*`VdwU<f4tRlir3XE%L*Q`&AnY?j77j
zXV=yHE(j<i(q}T7q)+WFL3tMb?wzb<h6qWzEC&wwwix$Y+9erveSW~o&#wUW9X5tP
z&%1Z;$6cN5AP~X(H@>glVaxJncwZYQ=8tNQ+c33bnFWVN4M7>T!l2=C$*W_RU=~n-
zTa?AWZ+RvHi>lMy7-QY+HqNW(sg{Gy{bo&zJ2qF`Rc5FLK<U*7ARkS&VuPl11?p(A
z`aJKo1}`1BR;EFP9C4hrc2|BIvcU2}^2LpDFmd*gi$3rZ))Bu~t0AU=gE&t`Nq)6+
z3b~wEfvKdXTW+9ijL>n!u>MGsZC{LDO|;LHHDz;}`M#8&mOHhh79)_}TZX_^&kz)+
zh1v;3slN&=U#BSmnny-t>;+s?)v>C_foZv4H+T`{5N>2bH8Q%3pF0<cR7AYe1(#nC
zwU)W(F-L6pa6H&r@_NVRx9LDa?bfYZ|40b6kS~4KSp+s3VCQ1=F8TBmp06(=EMWMm
z6~37tPyj2<#vxm%!RsjYi!;_ZYk+mGzHtj79{@xug55<UA%Gr4fF-;Uv<QB{ur+<L
z=hf8IF3Y@Z6D_=Y?%cVD%J)vN``q9Z6!fOl<VvBI-b!a-wEkO3iPV8BYxlEwL?gj@
zk$*BZeGdfALIE+NO-<tQ2nb*tN5Qjif>QJT{ri_UI7>o8Ll26H1(G*I3H4F_^7ZSV
zcl!E9=H{Nl<@g3XqTw%*7b?7}HI+AfM&V}ET6vo-{%K-rYHwNr8_QwKC0v_fbLJI%
zk0MIo>MT1e;w#xt+4aRxvYyNm*{~#gW_jHNb|Q2>r%I|UQ6o@k5pD^{KPoqUF|pr|
zd)M>vN#yE@X8O@qTJ?YPzcKzSga7}xpIuQaxi$aCdj$So3;*@<`9D+Kv9njvp3p_1
z#4ai-T2;D=!LL-C%Vor*<_t@h020ZjO|y!0(v4+0C~Fo|7y=;ULZF7jfXUA7+r=B5
zgSxxBWd;BGYuk<;H@P51n!4r5%FAzUxsxj;U$r226vP2z-#byiQlz-O6GvSk(poQY
z#t5}MH&_w)K|c{K1@9a$-P*98Yivj}q3&p$#=}%v<9tKweMWgZO?C#LyvHX=dGGm3
z{i~t%Z&srxF#pZo)1TBHZ`}e%(XU^>WCi!@!ckJ9E)JM<x{+a-9Hd`xk{08?uE53Y
zOp0}Y?U!Q0{-O@P8;)w^YbP8;R6^V$Z3-4<8&4qCcDj`F>3k)yA@%I4kkL_dnEGLG
zash~V{ZBprJ|W>>)$>3R-2bMYhea5+$BPe@@1FpcP|(l_LSw|Krmf3lVS}yXI4&rt
z^d~r?t3yG0$W)zgalZdMZ6*JcOXk1Y2y^y9`d{1E<nh1;EZ{I&E?%EymjVM=Z1%Js
z_NgTD{_|4ps9Q5A_BqwFRbc7%{QBw`(PjIR8;mN!ibq2cjB7xyC$b>4dxFzoD;a~f
z#&PUeTH|n@GwmfX(?>v!=`sB?uKN2waul}R(gnjrzOtZQImM_N7NqKUO>x(qg3_Bd
zH6Is70#b%457j;|Qv+&hn59CYaNI<_3*<lc{WH%xVq%224SRF~P+8p6NEay;h-VGn
z@}gflaNP>QSBDVHcsqD8S6s7LSH7pmQ%S8HvJ+A3ZbE9dg-1W>`lmI7F2W7e;0cqE
zCgK`8J3IAIodDnV!iv-EFrgZwk|sysKbRLVy`qHB(Mp~{-iMOG<w}3}6k%^5Nk7|r
z8Y?l5SoNf)P|@A|{o@np=ohs=7b$_;zG0tPt&t5!LCjI8Z>9YswM%^u0wxpf54}G4
z8+N2dAeACG!RqGkZ4iA{*&`1VG1SQo2T}1sTEje5zBqV^kXxkh0*nu1!yji_6{!D_
zc$7H&H!JcDWL5(bAvNI-XCQ&mj!G`B&kt`<vspoz{Zjz2i-=^Ej6kHVKqt%|%Jg(!
zoJauQy3-tr(a)G^>3Kf%B@?BQxd--+A#1LG2O+40Y7)Vdyuy#+D+EF8Q{it8HZ4A)
z`|Si3B=$IO!?tbPB&b|zKR3rUSfZ<nny6L0&As4~oE$R+*oo0y=f;hfWfVDd{9tH8
z3Hj9j_cdu~9#Lvu5awIR^ym3BEjXkOP^Mu%?fY#_;ci5nKmfIEO2$X1^R<^!&j3)3
zLgXNtLHe)v#mxSa;{$L~;x71$NhcPWvZWh@Tgx<TCZW$4F{2?XQb7_!5oy|_xS39&
zoqOV)T!o(qnqJIyYBvtbKYaX{szJZkfcEa4R9dmn_8NyDSMIO;AuyXNvq!brYR6?n
zN=JzT&Ond64S#+!JlmBbWYu3g8Py4L&XXBTmJHaV-`ye{6jYqk;F?+HxXYFIv9gL+
zEKpOM^9u?jsk_#@z*{@j)&n%H2;z1OKYQUgR+5r>N_a}t!QE)v@M7M5^wtTOI4jYf
zp{&ie(n%Ox^?wXoRJcFkzX&jXx@p<6lgKJlY1`VuLMqqhN~);50+W2IY27jkpbP;e
z525257#M{6-Psdy$myb5my~+d<X#5QEEfGqwG!0N?o4qII|_N$0bHWg??z?B>qH02
zZv1=l&j)dAlZ{TaR)eJ=Zb-d=@s)sbQw~#34C)#PF-q7+Uho=YQCGdauu~PJFQCH9
zK)6e>08ivhl^Q2n_Fr}Ur$Ezt$Ix<5Nyz&<1gAtdCb3uuWwyfG5e{JR?tx>BYot$y
zlF~~xvCcwEUFUnd6oa0|W%_`g!}a$pfkcHM6p_8wqhe|Wi3^(DJNRN>KYhB+l~LsC
z%JsXxVbO31XRFT-djs;P)pkK?zpOD6!*$@m=U+emLx4o=gv-ALBneWiESHsmL+c(z
zhlfAh`#e_)Q>wzX-DIcs>?37o-SD>nuw+Dt+zhEA4s3HIc!6H@5@5zf&1M^^ZM!61
zGz!@xkec>=Ei3c>X>*DL>O~9*h27tRI^QjU7^;B!aC*F-1HlAX9`xr)UlF@xLV@z0
zmQ1ySZMevRi<?^pes|HN;>RRu*NVJyPdGqWXz*XdBO{b0&ORhrs~?5wuz35|e~7og
zjWGWZZ|<obYjv!N)dMM(tfIXK4;E%_DK|>-kX^+GT*`jv(2FLc4HlO+o**5R6UrG)
zYB3FICT$c@e0goMsDH!#?$Usw;c-a=RPz4Au~|5)?fp381P!A)SbW16U}A|G@rs9-
zZ3#}3l$7*fMr~ZAX|HM}wlJH(9DxQZ(G)F&^+@HESlfvK&K?!+*4@V~yV3GC_N6mL
zxBL{97^PvaEAN{ArxtZ#5L;oag}p`;DGCXIt-n=p;gZ5K37HRy*Ri*#UuivBp8);#
z`Wa`J6Z*->hdS>q%XN`jS5{Os9AUH=o!TBOGiCvId;q){a!C|4NX9aNR_Gey)I{^1
z3f=}-RrC?OsUdzw=@AtUbaZq#>l1GhQ!?rH83C_g+H=OJuwS4=5mGjJRY@^hvtXM_
z?i4VPH8P6*<1QC6>wJoD2uo?Ul|(uK0vQqdZj$3T2N9I?3vga}pa09y@A>l}xF#fk
zOh6#`qXt*Hc^r5S+(nQ$qfLJMZ{+bLgE~1R;xYOs#0>F_S=HndUG*{hzrUPj+b8-=
zq1r8$7*@4F$@AyGA=OxbD6(@9J$CF0On9#XY<myl>&{4e9r|sZ4QYW++EnoeaN*T#
z`?LV-AFIuVw5&ki)FKNcYL_yQ62r&G=W6P$Afi4XW;3~M{`=cbr0)I55dkY5@dBbS
zVd|L~%mD!$L_}AM-YN>Qap-t+mca)U{9x^NJ<yG4x=0|7H8S3?f&rcT)fUz^A`D?Y
z^pMsrSjfARq%cHdaO3H=<vy^5@Zt&j7)=<F@GL2a{xg3y+I)?JQ{t{3=>M6Wo&Bej
zU1qlk%N92VA(Ag&rYDFUSTHy|+$={7BIM(gh#`%?iD^jU@c8ekDg{V~Pfth)xE6lp
zG?mzmDXZ?hSOjW>nNHX*2?`BR^)z9fK?h*hmD(t8Wc-JehHe7_{{NwfwFz@1&hx}5
z!GXgA+@JqvI;a0x8UL@hWdHjYmX{CTdHWmDt?cdXi5LNolgj$8_UK0vUkwpL_wAdE
zVSkkxScd+w9nPC_Yxd9+)qY+qZ@RHvfQ!p5mG(3c6KJy~hj@7_RNP!$J9fDQLG{UA
z`oJeVd?EA}`us#{G#mu{T=Cuk6NW8Y+JDb0U$w~IU$;*5POUDA6OFmIt&F==dfN)L
z6HL_dHk#~g1}r+$=q&g{Kp3nOJ}Cpl#BnU=Rm0E^nMU+UDow4d9V-3xkrnI=Ea5>$
z=e|KLe3|2h-XP~x{#79lAFc|0`<AqAAW*I&2ncKau#+{4*dt80au<0bV3&Wz6P0cV
zMiKG6xMPjUla1$Lum`1%$oVJ6l2X*w)stCEM+dzvNAo#P?Fs!u1gL{Jiq3io<Ky4w
z0xXh9?5HWJFVGMH0QhHp{!I^bbaW8WhImsGlq?Z>U{6TX+OlO!)T`ExZ0*I_`cF6B
z|NFE2-{|Q7|K`Gv*H|p&+Ul&K3(bSbz@YttLG)F}C@UdQDZslgkFdKY1&N?yxT6?d
zbm~1Y{E&))Si_p^M@q3~N7G%=DGXN`DPn+Sk%KOx>-!xTzhX`?IM{(ZPQgqNGk*9V
z21;OaCgIPI7&RUxU4reu(E-s-43sc@5_Snxl1-B%A?C##GXdYGzQbyf2s8r9T*8A@
zMiCD60s-7Ossy5Jky094gNPeIXO(xCuZ6%Zt1Tw!%~cH>Ge6uBG`sj02Qf<X;R*^O
zdO0ju@==PMI10cFJ(fO-u__Txv+YcT`DCU*%`b-zUS#0s=NGkl%K_l^2uRJg=<Q81
z?T`R6Ax9gKYY<)9vu*cR`3<H+^=RV*wlgu5sH9Y@D(m=>~lJ78uAMW3TS0E3!G
z&f=};F=8NUqOa_y5R*C7iqP(ET_jZm);`!Elwbj8p<r@268d4s+yjvbN_|g|3!@y$
zSi;v<M}?s$pA87hPtdpqUT~4*hImaE<_P4fPEC|2M9dML`Nik{9;1a*7RaAr-(~ow
zi5@cYx~9r6`ca?W8Ey5<5wP&96~mc&l4_2%z}paeIsO#&$h8l*c^kmiOa2Fe61g*(
zf<;|s&n%>rIMBgRw3sO<J%_G#_QmCRF{?U^RRa!bX+?nbrJ5JAcw09mGat+R7rf-Z
zbD>rhCjY5d%uqsgF-)*k1Tq}aZT%M+Equqz8y5&JofosSVr-H3TyUE8e|y0yJw*PQ
zg5vTs&o6vl{#;?#vQ5uSZgsQm<9hgmt(A9p=h<!IAD7c{w61t~h<)E0_V=qF-o3kY
z2`|s>6G3Y^Sqv)$3J2XCcPgiUW7%8U-#2AFw5L?0tJC9cN|sGmqZu(Pm4Z?xZM#@E
z2NUX|!6p!esUH4L90Jf55E&%f#@2}V<Wt%yH=&y2=s>A}D)6KU_B1<Awam-n?u-g#
za_R185qknOl&1b>oRYD8#R|Rrhno}}9mU;t9o)pc9Rk#)^XJcdPV~zZ*}Ap{E?Kgq
zabcvM!Mn}?kYd<k$I!FfDA}V%uB8S7W}lw_WzxtXQ{Mifw)Um9s;f(T%_M$=@no=N
zsy6p2`<v-5QKO*K_8XC%Y(_eJ2)UokDJ-mlJ>Wh)F{u9Q?DG(?Q|G7m=W|}r)eUDp
z_=ic#n>&@PUn>o0QMuDNGYD($%k}tfKpf9c*UQn8$wK#(O)Wv&6>ejd>+CK?);Md!
z0_GCA6p_i+dnkUxhqLD><<HA`+=hm3ZDTz04hvn~n}&N8p6~MImvP0ny<zB{N?&Gu
z65l$Lx$QFuhTVVOv3hj`|2-SMVAOMe{=9y@;;mcn{(J(y;Eb&3k3MuKKg>A6o;tBP
z*nkCuIT5807YrT=9(vF+IlMmmO<`tbkGYc}ug?+9&+7<*OT;S(>QzblN~J!0;>b$R
z5yj9RRRz<osztQ|H3U?R{`~9|nbl~;DD(-0fYaxZSY%zoLswa|5LzDvks=@_I%<PZ
zsB!S{$im4%Br#(62Z=<yBkTgchj`w#HYgq4V0;t!cV;|o|834~PeAHO>^_-+R(Zq>
zataD{O>Pr00-|jQetnM@RO%aS<sJ+%B7{_0*&xBpV4ozKYTjv_h9u+F&=Lq!TiViF
z`^C!Yi>}ABK^Kt@tE>(Ea1YDEwY}!$lBG+Vx{iT_l#02|vn%CuzKOoUwkK!74}PDy
zI4S0)thsj08fs<F&s2W;gt}jhzj{hXBCawGb^iRRi!eY9K?p6@OG;09;NsE;^+OT)
zk|;=6KsRS6e-HFO*l!C<Yf+;Uq@|F%>iKm3;w%s<fQJY@bX+!oPsa`UmyqQ?QU^#g
z$lkptiM6snrA2LEbZM9L@ry4?wasMsHO?Sr4Gd;H57aT-x^d%cC|=0)-ZOjG&dR`u
zJF_$qkXl-WHva~1p<WU@Xa)Fiv$<9>Zl$B^aLhyPP1&f+1KAKI!@$T@`qQwq%t)L8
zOoRr*q_j-t{nZ#!O#s<g92|O$>SQ8uC#I`9{nbu>8DtgIzi8pNS6w5_CM?`2QmUY+
zsF-%|<yXN6r)`#eZOQ+Rw(dg_*BG1Mv>9C_W?AN&$T*+wI_Hjq+SPK*HASyFMGhK0
zyGkW;B^^*Zkku8rk8G_(ECJHu64-qj*1bR79Wg`Mi(rjjJZ6LSTCv~k#*7WQhFxyw
z9=W+$aywdLfaPY48j>%_eLS+7F5aw5ns8yDA<W(HAC#IXqkX;BV{UYGbWQ)F0ChXQ
zYWj8xGAMP;wksSQY;yqC%oOCRgWHz*NgW`J12qvAxXp7Qna4o8NKR{Ry=8+EjBE{p
zV36CaTGZ+H1uCnzbqGY;uKhbxR7od^wz@ufVkQ&FqmjF8ZX##FLMG)IYOA>HX$gRG
zPiEN8qR%WqK`gw%dlNoh1jFZciH2~$kVa*Y+)>!o1AEeh*KRvR@E!r|*C(I`kRu34
zo)b8m4`qd&f)h_H=mL)Y{lzp+N`2d}c!VIm5%)PEH*l`cbGZg{5UN!dQvo4taivlC
zp<%Q*i!Z$x-%lRc>UqMc0(YibQoF#$kin|Xr3aCV;kacqNQY2#)^I>rgtJcx6aZ{8
zN*{H|xm0+4IKRqTfya9w(`JM~P6xD$3Zanz(i352$#EY<DFy>q^vh|g!<&Q&0tu6G
z{s<alNWtSUJ$eyW)e`V4cCd$=b_bt!IJn;QPG5Zq!%DapvS23h#o<P1Y2t{gjwGIP
z7%}2%%oY=KYmQXxo7&mnn)o^c0Htw@9crjg+t+^wmuRm-D|~Rzo)b_#ib_hrKTKF0
z8+wh9x_rep`}vo?zU=c-J6sBHP^<N->k@Q4Jv`d`Oj}Q4prFW7nNcx&UVgc4o|B8~
z>rmIzq>I=kckkU}p^F}S9vC>-{<xK*7^Q%Ee!xQc+B$HzYgVs*&a8FgM(TD~m%~uu
z!QK{YCrqVpwU)KEPMwjML&``Ev*f%`u9^8>Z*JE==U}zQt@;;>n9Qbs(YONl{R^5C
zJNsdAdC@pNzWvWRShHLI`p0E9d2q=;=U@$8TJ|p&4*NfMVY=?VC9TTZ30H!Gg0i{t
z^ra4X%p{Y5B|lkz_0YEE%Z9FaKHusfa{Bb?4%0OI%e0w$+1SFr59&<jyeTj|e|}X#
z%wLGuB-g#HGq7w~zkYouzrgDcA5Jtc-63_Ym1&doty{O^<JuOa4s5}D=|rSCw@Jq5
z<a9-TwPW^p!Z&o4lbgHjo72|EjJsyTce)qe_+i1n2VuNDmH)v1?FWawgN>nUC~twG
zqobpz*e!me_bzJ+(SncCDz13Q7kv6e*na5vqOmIi7Go~48ChmD)pmTi2b|f&B#aef
za#wTD0S~e;K+629s4Kcd1cC%eCU=gztYBjff)>Zp$>v(lNGSZ))@u|wd=;?2gUTjh
z619&XS4PPF^M*~Ef^gy(r2?G+FTB0G$jZZ-MudJ}XYl6@jEn<}p8h^Q5si(Fybb5h
zoRL4)+L8VbK>Pp6iukXuVU45kUl9>%AZtR6uvM^X5us#$x;94-@(N(@gvF!3W72K$
zWz*?2A3R`jk09Qw7DzYoGl(%!09Q9rn%N=}@xvKUPOuS;T;!dG)}0&5<sqK|RPkD6
zRW=4IZv?s_VCt$}9=Y!CYY(|y6}u}4!W79YO11&DY9HyJupq}8kTX4S76I{=5g!}a
z#~A2L#RdZ2^#xG8U@#_qZwQU#ATn1Ny%A=#l5tc>BG|uRbi*cImwD%PD@}y}D>#_r
z*CY`@2@^ZfcQ}w{i^<_5<kkFfl^Wf$FuJK)c;Dn^24Tm;2?)~&>_iv=^VpPOg%eG#
zkn`<sq%=s5nxLJkHzJJ0XbgblV9rAJ-Me>>*p324CCf4CpaF^acwZjY6rP@Sy@u>o
z5C4AX^e!<+6_h7xk?3Y6uc2)6{A_IJAq%mY&A_j8M6Zes#R^Ww3(6ly(SdwIf#rrU
z`|mXJw(i;$4ID~Ti&{`^1Onbfz4mFEC?Leh2S+eg|3OMR4!#*f>#Z(?JBDMXH{wZ|
zK=?u84?OqE>pJdGp*IB`mLju5d5p1(#bqiF{YN`S@UtGw=**GX_9Qfa9KJTRXLhIe
z#a7}VKEVg~?|-?$8-YYm+)gFh2_*R-z0&nfpr?sK#o0$cvdgZ=hl48wxOa$8#!@4l
zZ^X^TC}L|pxq|^6ZL_kWj<9Q7!WMOjTAT*1bxWE}Q&qT#Li)$F;+Z~&^Vyz<$aVdu
zUAxw7q5(==ydh!+Res+QHyoA(i+21Bxd9ORL|x?dky5Z1_-r{a5zV_seKEp+XxTXA
zr3nax@(Y=XQ=lSQ7VFE-u?gKYUg_>Y&k|J9UwD0@AV2>+`{kc8;V)inoe-cv?JkER
z3Yl#W&KG*!EAzRPI8{2bwK(+_(`A);lH>a3VSBV7P($GRdLd+*eCwwUaB_*ZS;P!E
zR)Lu`&3qa_%Rv?~hmrOJ7-dj#H<MPE)(>|EEOCrjGRkHC>-i7a#oX}@uT|8w51gIZ
znVCb1W?~Ow(<oind-6D3DJ}qXZ1EReF@((4`JCwX4fACN0yw2)Dt(>x`L@BU2*iAT
zrL(FeGPfVJeKkDIuq7_)_pL^Tz&`=|W$v#xLzXsi#ui_LR$CW8^YjcI%$|{^nuEdh
zt_ODDqt34~k=(+-z)r!5DbNyb<vasdehIZDap38~F!}!SAwo!K#a}*x779uQJY9r_
zz7QasRyF0s0kgje5fdXC8108n;t(u(n->00e|iybTVY`n(fQQbRN36Tyern<J|NUP
zs4mIebLfy1jLF$tOVx5c4}aduz|boi_u#jDm)_ATmA!lSI@6cjtDxhmS+Cia%Afr3
z;X~6DZ~mhR`(C~YS_iV-lbP(967^R=UahUIyc3s>_*e<~4>TZopw&Vai_HS}Otc(0
z7sz>B(0_NML*jy;zy;#eQ&3W6p$MT97boMqfy1>2jn0)|I(F2JI}uNzBv)F9oWrTp
zr}<HZaw{x4U9Fk+TNl5B6O~edSuQr%LVtOvpW~HF$`Q1MJ7jdfGl;l$C+YtE`*Pyn
zV!<MTNc2TJYslSORwxOvsWOh-tYF6JY`SF7U|>W`>!ks+p8BLHv^=ZzCS#4V3ks$*
z&d+~9aSPXNZ+WnITAcVr#1W#(><w@-#6&<LSO1l_WikgG`9$c!U4ftTO!TGh+_^I_
z@(SFV=xqV|C!hA=B#mF0+veTdYrX@dJ;D!!Eu5%$%!u~0fk4JeC)*K+jei**gb4f=
zwLZXhIP?LnWRA>bhYuc%C=o!0rLJ+@q-4(M2~`hnIXw_d1H~R)z?`6cX?Go!#dyQa
z3GDq1?5hPT*zL+M`&Bwz<zSE;h&V8-3Ic-IpUB~8FgBD}Vs1$asm8HJdBPL*Y>Nfv
z*RQd+!Z$2z+`YSho(2b+cx+Kxde}z_NQ#(Hz|qGQ-&qOzIIZOtl!DEzJEgGc0IeIl
zl6af}+9y08qGEs?EE>Bi;6~C_t&|2&PtT4%xz>{?EeDDxU>JzBI3}nU0JH~0TlBvw
zOFQ2va4V)O5BnRhaT(@0d-@>G5agsV@LW5Q78G5r=gCYg)>EsC0S#Cv$N*78?PZ{5
z@Z9NBoqk{?mdr!?u1YiOy1s=g1${EqM61E(HG>V^>E=Ce2snolqX7Nni6QJhl{lTq
ziZmiMKCk;bFWk-<Dq5um-VFq$F3f*~3s}EfC<JkqLWN<q8izO%QArOm1#$K2_1-1w
zXdNXyCUXSZvOAJp-Q2uBUB3vhLzLWet_+^K3Gk*+DnO>H1{Jj6g5)?$6hP@Y+z)yj
zHD0TP^VG@UxRh_%`cE*G#1R6=wk()L7|yot-W~J$^=pQ)gvCrD?_ID&4fq1UlKt@E
zi|}zo4TX9G-s6s|pew?FQgD60yn_br9@T^rL}Ehfnl||UjRmm?Dyb}za5PR{Z%9}~
zgw$9V2u4IL)zktAt$`dv=f_ujJ^noVj-T7qjPfE=LOEU)y&1BQqELRDpf7~HZtE!6
z9SsJFg1uUe))R85EWn&?M4J&9p4{AAiN-*1sc87OK+7CCGO8=kX`s@kfvAcUB0xW=
z-@tI>Jk~7{{okB@(im(AutRViF?&L|l*7>-Uo+xJ`#5MRa8@$$Go{)I^~r`&Agt;9
zo(!Y^#*-O+L+PiI7Ej&f@nT<@iPQ(MCI^R0Rh+sQ4mvTWhM?tLo``(p016}kqEWyU
zgTfR44Kxs14t!@6sIJs5s)+T_YjWriIj?XU=OuAX<_hiDv11xyJhOtm!~@I|p^>Q}
zq{|Hc_;j3oVU8v?LPQbDmC<ST_sBpO^i={A(M{bIV4oIFh#pi`;C($oazms(;xuoM
zBLOdg!0@#8`g>Sup1vu%bfocC9&P<QjeE=o;g>^;ea;aO>tIp>Q;adV#BV~5QA=-g
z-Z`4TMTQNhXAtfig+L67!yYeXql+m<O^IM^BE2r(d{EW}dpRfn4bEabKrB(#iQ4#H
z>j_p^6;AgfqAocv$SO!6V$Y#Kv_uhZT0b`JZIu9Fy>U`yB>5B$1Vk7}Z+AOhmE*MV
zSnTBDEjwQ~RWNxOjdc%D&ktIm2@UC8w1+v0ddvy5Cub5S!KkuU^l?h^|Bi3x>u#)9
z(_Fo3l`Pm8*z6E398}i}vq5LPb7y&=*xR>nhpj%G0O$fI_Z8-*wzTOsCa_EJvoe#W
zt&tvc<)KV)uX%xdHRn)IuUWs|Oa5JrI5rT0C|6<>K`CX_8s0g4=FAy3X67?;AL+h;
z9V6js>&~4VI1j_Gw3CFVwzjr`lOfQeOl116`o1Z!)>5!pHi*L;a5jLIJNM&lV5mTc
zUL+=4xETh^9To+S+t20oAFnV*6{P00SYgu)=_sh(Sk%2~T9x_PTeart7so3+m0{CR
zXGh0Pv|m6k9kDpL_z$guk-{tESbuhO^q>#y&q<zu+LP~bg212G&~e7K*8P?l<jhxW
zc=9x8+lT<|Ca*_2JUB1EI{_L~31!yIJdmD@=i(jGI4kuZWWcJ^E(?f3kXE(n@Fa`2
zDoln62MApzCmuk0R*mjQ51c}Zk!lm{@&mVO^^$sF+WLk9IZ}E3;!RXBRIj%VM5iC&
zdPBLMC8HWAA`r%ubmoy`&QO@7hiRh0wi2FOwD*SO;H=3t>qdK?Zd$xZt5T$AcmU3F
zAxE>!^r7`e7kQZ)f+LJBk;95`g(Jqz!sHNV!mWnfji4vz+0yRdy)XL@Z4eoLwWk-s
ztTDw7hfLrMTsfe0>gb218^R&o5R`I!)H8%IEyO|sTHS(?Ve#wrvh*&L51~*`HO|2S
zLIbyysG!<OT~GIaarP$QSnloH=p$q*Q>Ijsp@dLLk|~j)GEX6-RK^ez86st<NQsin
znUbtBWTqs|M3gZqAyb($?(;|M|Gs;F-?xurZ%6O3-qot-dG7o9-PdrQ=XG8VN}zOb
zBLiIieINNmGpb=!t8Inm`SwOOK8T^=zH_g)zccLp^7r*9YKCH63K+bc@kBEpI*4iH
znsR3}L>_$q-Zov;d=k08l>?R5ax#$qYP;uOifZJJJ?+0x2c>hvf6$U|dAn8-PitD5
z8?VEE|N8Z|^<D;X3^Wk_Te=4%ofYqj-{Ejm{WI&xGUY)a5bjeWN5H|td0Pu8_vSq7
zO^cs#iaPr)73G`+ObG}Si$0A2-X+5<EG#Cd(Z^wIK-?V_@3WFW9&o$vE25*(;GJvN
zzSNlsX`;#F>)iD6=Jo4>m!5tZ*jBnxTDnnT3kcoct~*AAuGghLd?>Y~Y@I1yYxs1s
z(?1tuokT+US_WSWGH4T=^fq0ubEnD<N(Z!jx{X&?Ln8#8j1a*Pnq<pVS90+2JwWGg
zV~|_5Kubp_CiT#|lsHrTg&QzOuvt<PRg`rYU*SG~Nvk#FcaSTf`yuebu{_f@leD|T
zMJrdVFvRx|&6jRQB{^$lX~`F(L_Kl~60Af1(;pJx2zxkbBDeHc7@5-gmbG|;iXLWN
zuV)+i=q3}FQ(YCN1mh>y2oV&HqqxA-fB*^xvqYg6Tm(uI83Ay3;2|LqpL1vxA_G*H
z+YSdMAP68v5|$D*(K!;zFs|Xd?e@)^&oz{TLc_zi&+a<vgl4giPZ;Wnx6z!-kLH`f
z-#iDbl2yzy7NX3+eMt=z%UYe}B))`?Sok_hAv`gzTp2AC4-29;w$Ex2qc0gV^Z}e@
z^%2`G!y+-#vBL2zDn@iM8CEXfOi<3*z+n|VCtRDqr!D?|*Mh~vfSo|>iK?BrLG6Gg
z8sfYj3WYH;h@_w}rxHy?$=Cooz#z?!2vkv4$XhIhv-!;<D)KMV6a2D(8^pv$4F0vk
z!M)6ehm!`xb7idGC?m;Ged!Ua0zBNQsA@%|r44}qn2>h?n0y#lRxZJ|;~8q9a}7(+
zn&9X(eFriTn!Y`5azy15L!2$4d^!nDE`gWfo4tt?53!KxbDxT#uG~*x?MiA%R>P8i
zwE!$X?!`GbprCMv$stf^*l-&VT@~g-ppug#cWc5UGh+h^y6iUO$zs0yOI^jnxAA~U
zXj!9$%6`2RTb%xb@ook#s2{$>gsGM+pHewhHhxoxh<H0B=mNOELSGBXE^(@U=@bLx
z3T?swn6fhE=%kGUh^EoguyxZ#TR-Wt^t?}{<7o#h(Cb9pRv|b<=W#p^6M5$PRn@yF
zv+tmP%mxBuTr_uqVHHmv3mGTUnj?ecKqy#D7DIY~f0l72>C1`q6D6o^L7u62l%dUh
zdotq;9WAX<`dW&j3$7o%f^k;F(=YE~g58@I)+I^2&6F1Yyo>H%1#BCtq|W`Ei_xUZ
zKZ|o@-(MFRSkm3fPJ;W9Zqyhe9q91rmLaz%V;HpAzc_6d??#!b#EkmOxyW>J6mVqz
zhg&pI=`30bkG`}R;|wP-d&HH#3F9@djF#R)32(tC=dOX!Lk!}ZFdcqny^<yH#hTCZ
za86;Qr(YcRgL5gF+Y&Q*(1@z>0rF2jM&?exD|@xJG+^Nmc+BiZm{i;2Q~*SoCtvF{
z@zI%~vchK}HhcZ>h%Q#fDaKFN`eoT4b|G2f>q|yWo<>Ht&~kg@bb=dUhahh+k@gCr
z88AZ4*+4L!MgyJb79HT-ggb!ZVDXMd-oD*`y<F-ll!PadyvY&+@&a>Ei)(3X8$%0;
zY?VVrz5EAiuxp<jan2TlOQUQPqZboF>K1)2NS0$!7>jf+9o<L9f^P3V^MFh}!bq8D
z0Z?x>AS34hU3m!|0>W~Cdr2Ya!W6)(IyaVeEepSTbwbmMM+a4Y6aEtBg%K;e-Wk~2
z+h=~5S$xZYWqb@?!gY=^1Lx`Z-h(tBgVnzgQDPG118Q9?AUK;Y&J|9kT8XyfuD1qd
zhcbBkG2}(VCw~$7tOsVNM{a&6js)Z*AzdFp;|Odkl^i5I8fT}ID2)^t7UHB6VH^17
zk-sOMk{@16-Jt^O>jaPPXABq`)goTN1kqTS?_4lIzfs7?9>8J&PflVq6Wj{MO0xmh
z`(;K;c&2jBm;3+|QB(OXXm*Id6miu?_csu=U!op4X86q|T9@+&6BNr-!iCV{U>c4%
zU-fsC&Cq5nm131G@?0au77~PU#i=I4t=e~FiNC5Q8Qh(RPwOJChY05m$%_MMY>+Ht
zjZdjZFokjwu4gJ}wiHjbLLLI_@oq6?=`2%ttn#TzuLui05e&KE32%luM-p)zMvl${
zyt3o;_X8yUfFu5EbI=4psSJvGi1qHG4|>kn7eHm<Uav-)3=(=XF@eBHKh@K`AMFnT
zd2*~OEQv9m&+UI3z=%4dEACC0sr_5y%#<(g62LWmDIeDHpT17)3?6*~Yx#H>DoA3e
zg)X}vLilFl5H%Fe1ijbh-Md?xZM_acY&O%2TT@fp)F|Oua(I)@T|+#!_l+I$Dw|iK
zBtnIp4LB5;Jz{80IVajt5Eq)5DHmP8j5p-}jdFUD+a0(S)<vu5@8ro4ts7W;A*7bW
z|A7Yn*Q_VBSx_)&$JG@ZaYONOpo=5KHUKM5f{PKUC>YyUj^<-Lx%cgbCBQ4bN0I=S
zmkub;7-56}N$9+Z#T{}@Ht?j+P*p;K*gl6I0{Z8QA3zd$;XsAklt?@tQDEQK-bJyG
z#Ir?8Va$V#dlfBVm;uY0v<_SP4DQfufPf%<jdM}e9K%DQL*iWcQvk4>qJ#*qCp@jL
zrq+j{xCWp`gfSfLsWm|WUi!%}Li9O{qZgHmul(kxd(hHGr6SAS`1GBiyO4Wh?)z*1
zjUF~kMvyV^F#xsXV-lR{!ISU2aN{!v#$h|LAI3vqH}gFPj4^U#hNfB<oG6)Mo8+MC
zB}fDjHsxB9T7rB+^azIdxits@N)8!s2mCSq;`d*zPFF?Nj=(}hm#9<%eSX@wd9!8|
z*#Y4;$qB$4LDx9_jy*7Uvtsv55;n2DWB?cg_?l_7C;3Zr;90NFW|Dpc=Zq|$0W=Jk
z<z`R@aK0B;fP_EoElWQ#2jVFiY(zVClVk-@Vs_X~Vf(i59|TYkPIjpO`Fw}|-n3bR
z{AEN*WfIj0#WZlx?3O@YlsD)N2+t}^mM&O%@Vy+kDSjv!50nldw`nXaNP_5U0DW*1
z1ZratPY}nMv<Z0WV50mw5Vsx2Ua*oup=lU_LaBU;NUaIgOKgGJ=g1s9I0q6jbwQE>
z8YbAK7#J+H*IVj|PMC>Xq7jN<PB2xYy(~+gwsHa0KT+>vyf}kk3mCwRL^li<Z1*N3
zlg-FHz$==t!-Nb3kN|Zz>r)Q^fH926YebR8hD@lE>aOk>{E8z1<|otfc~zEW`RI|!
z6{K(UW9h^ynsBrDL&#EO`ry`^<7DLtvE~0bjFK#Btd@gIzpAtbhqDQBAw1s$l*yN1
zZb)4WkmjC#(19&2`3Xos0kMXMCj*a(1B#h#ac^*bronKG<MyG<)}f-JB93AOr#dCV
zYq~RUD>#F^h)PB7%q9rYP%pkz7_4eU;m{k~_yCt6wWMYP;Er%7tU-xRW$%oEOb;L{
zN69HPO~lEY_;p{eGyF2W^eHGj=IDwt`4i7UCQWpk#Jm-!gkT@=slyl?$^C%ipRLOG
z4#rRgGN+&>vf-Ju>3iwvCB4l~D84eCpm7t`BvwM<?dw;q5+v>xVxImGBKX7!VJMWS
z$)F^Q#Q$_N|MS*$yXdltQ!15-zXNW=WTS*+2;fzOORXq`m2?pF4!CB50wM%?)Nq=d
zgk?~gVs5ow5ilFvva}&ov(r(j_|mybu#9KI3}(z%`4qD7q-%-N`@r)$1I0vfYZ*W&
z#uY0XiD%yIS}gsTWZ&bK^!~jr+8mR!o%5;po9XAl@mJ0%<>t8JYegorilJiJT*?>>
zxcK$)?Ivqiv)1N}awuq@^}Q0>+~fr$`Q5Q?qs6=jj(F;Mm6SFY%JsenJ}_s5_CGZ+
za)L<wVfXgE16^AR=)XmGTg-+)g%mcffLNNUq|(-K;o`+bLy>PTvTc&bkp78re;FoV
zZ(}(D$^$YohJZ&*e4>bpB^;pkfeU-^k%OC*Fjv6<_7^~|`0&~9ZCS~JDM!|#Q4yCv
zX$^&PxdfFZD;L*2^oF<?Nf@2}@?aPV#AQ#O-EtYHR&Mc6u(Ru@<la*oSKYU78Z<do
zZB8EXfLzjg=?zeKRBz@2R7Db`9XbONy<utuMiBO!-eltKRgC0f?gds`G{fcB^J)#1
z`4SD0dvN1*f@wlx-w$PsG4N|*XNsJifp<rbLD)2(dbvdgf~cI3>tEXElM$2t59ur^
z$Cl1%fLYc@y3*kD*%)6#B*(*e=1CzaxeSCC;D_G5@n;BJL6X7HAb_jR^6JQ<|Dq!1
zyZ=8^5kD~`gJ5agUjQjuQF?|{GAM>K6z8wKhs^PPpssk;=ROTh22MpDbbtod)`>In
zo6sL;8m)M4lLzvUV|Q-w0#pJrAg8)P-rxm5yj(R8+8Xy}=x06rQM1;LC}NC!nm8)v
zzv_T(#W<?{AE=)vUd}UdmaQdN;^zE=#E<Fk@EIO01B9qlC5b%;w6sJ|FZ}=ECSqpf
z4&0H=d+me_uh4XX4KrXx6~p`d?&j+$D+iDzHE7X?E{TsQ;S>$AyazJ4%XJ6q^*SMF
zXW%G-XL_o5trup3Z_KPbas2p3s`4t-8k=D?>1)Y!6i>0cRp?1fF#Jc~f^y<NGK4SX
z=aj_6vdv;nr+g>VKEUgtV$I!uo({-FN%|8|mZE1^Km57pBBE3IC+>zbI$_Xf1i~<}
zp~~x*1wcGhvEWB$*D#4W+T!<0-~Db;OG}G>D@T0iqaRF1^38-b|4Sn#dYZ<`?)cj~
znTUv_+Kyt}N40<?)DNeMygnX4MS_|Lkf(wt|AK~<viNe!0ZEab2#<0m)P@6OjD1tW
zx#Y{2FKZ1CfHX9Nw-xbFCLxUYsiI_)24$Xg)8t51RTVLcN>$>r*lkj;qY(bKa1BTu
z%h{j6rPC(b3!LJF$V}b?T?H5gHiCO1mNSzYvDLayq;w?=V}HgN?fe_2k7m17&cJU=
z6d90|qe6CI9>}N<sR$A4`iV#xbNLv7O~+u<LDU;fXoQLQzz)(Wtpf)z&Dn!_M6t<6
zYS{bV5F%|KZV$0yIdS*f*%f^9rcsaGzP;2h<o?(MOnTDxseV=3Jy@Sb3SlNERkZ?M
zXJkh}R4QWHM5zZrQaiNH1S0@rH&k9BrK-5|#g-L!4~=szed>((to#>dz?J8T!2$6s
zCZw|MOAd?!5ZtDQOE5bG&jj(sS*)=;J~5?X@P^2=Ktk^J#eS{g!Gcy$qFH3O*yqQZ
zApfEa9jOXbz^f3AJgA37<4EETgjh*ZI@(aN|DrF<Yl%D^M2OGOlk}E3Kw+d5fEgRv
zs#TJ1Hw8;DVNJCA4~7c=-t2(&+n&f5c^^E&U+nTlg;XoOhZ{v9`X=u}JlH&jJK7cW
zo45(Zgi<qR7sDL#3Mhhy`h|0t6Y@qKw!i%&QJsxcGYy5lf8{ev$Oj_-^>{o??AAPg
zni79FG82r6cGSJHuzyQ46O6|bnZ*5Cr1*syvS&p0`AwV>|J=NFt4_dSxq<t&eC(Ox
zI<!5qTJ0mi_*eMNRZwDDUce5UD{3ECZ2VVYR<HIE1C@u4y|D&t4}^yNzc9SewQE)6
z?<~UZZ~wj|3h+B;uI2y!cFA`1WTp8HWO*o1$AL_cVPHV~*9}LgeK6;oiE19G+~$Il
zvALYunGX^CiAN_Sq@<Bs&b&5*@NKO-A@U;$0mqU!Yhg$%1JqnU9Qbxyi-+UYv0xz?
zT@1N5wthNLc-|-E2EsakJ5nVOVRX)LQoYVc2CpmO0nJ79|MQP40nM@axBvRbtYTNN
zztnVHamDgd@SX$BxkMp?+=O`w1v2|-|M_ud?*8np|9KI-WDEW+^#AscJ{8*1rrSZ>
z0g%Ys_MroB#D*0k`zcoprS=1pf}73YIo)+jN5r0YnPuWd4K1w(NNOJ}wi3rNSxanP
zNVh^D1@4D(Q{g~*?eY6^*!u|VA2b1ZcE}7?xx`YG@uH%V)TPGOILv(~x49H9sx&c~
ziSare5H}^1rmFRD-slVFwtP<zs&4%)(7)pV4TNsGs|y))gy<4<*1_5}u#BQX#wf5$
zO{}d0QXyzrUq>(3Y=9D}5zZx~1WJ4R6m`a9>#AjB2vT3^#NzcNei!VbJ@*=F7c!9V
zUV$R;2QZLdDrzH}pgJkWU-Uq)@VkH@>;#4b$#pp3<>KG13|6jWnrZ?1pZxXfSJCk~
zD3*a#&b}d2#F>>cpvH)DpIdB+ALM4IlI%JP+aACtQx!PPgkgvtBB<Z!qa|c*4^UIZ
z?=G?cCFf6}^DvrUJw?XI|H7Xmw970jYYFA@t(^ESS__ZtM4_MM)=7L+?usqlkEs>p
zeTaQLQLdzwlNA6iJ4QB<=C^ODxwK~{F9aa~VGfOoJMo<(QqA}z2~33}<r_X3#_#;B
z(ptRCfLx2nfSqVWNMuC`?lIC;#WWfjV6__RR`7vQjQKlm9f(RrJF{6<wk6Is>0$}k
z!GD3(#<iAAUT}VaK}{BH2sT6W0la$A0tK2^n?XzXD=#w7o3y`19ceTJkW-JiB`Pm)
z8oHC>zI$<{7M%9QurJF18XP^;4A2P`<y)pD=rDlkjTqG_Qd^xFegNvm9<w~(3SfZO
z0KStL$`G5}4iUN$CUEeL1V@5or%1i;ZZ^74QZi!`qVM_ay$8p!-eo`3D4foxAacQ{
z*yjIy>H7T{#-3{vyCr;XEm2b%d-N=jWMH)XL}-DUdIDLW1I*;tKFt6tLOhYV1-RCz
zzy|iC|H6zFDuxV{>cvCF1C3Z|hYH&&CX_c7?@z$Dc`S_)+q5aYtpLmoS;6CuV&5XM
zf9bso&&n^lx53-lK(m2(I0890Lw`g%faRr_QgZ9G1WPqP8sYC%EL1rRHJJu{a>%^K
zDuO4%U@o(k&*uQ~P0e&7W~f9Tj8n{AM9hhSP#)xC@#=jO*IPaZ4r()h;_M-Ql(=n$
z3%?T<yo%RSGB^qA4M#2uAZX3#f>O}ilOZL<L}FLd1e1l|^NLF#(R^(W6<p;U+6%$Q
z4wN7McrN1ndH)-cckcY`bE71Fl)7~Qr*f6Sk_(b<xYs$^W~|LonjD0JM{7L4b?|?b
zX_U*adIY^vQc@O8deI>cu@&1M=DiaaH&EV=1fvr}O{t_M8{0@<0HZS#%z%>Ki7asK
z$7jgPHd?&G5uu2Ro}U<LRh*wXs!3}g0cO6UZ9+|b))H>JcO~e0kI2LU<>?2vbniza
z|6(op#la!ZG}at^Px)QQZ^1|@-v2(kZQHgnxCI*w!&4N4e4&FxT!5#{1Aa??5{qwd
zhW_?-W?WYSSR!DRJLZejzWtvSxb=IeQ7Nqukm9*shfxV-wFrao8vUQc!%wn)^VRiK
zti+<!pUhqrf4;9-43ZOwaju<wisy>bUsaureRCXbz*O;NCIKiLn}sWxpsW^CShr$U
z9Sw2revxLtJB_I829arB%aB=o40n*#0AxV}_rv1b;b`ydr(MId0N_L5MRZsyvDODL
zxM6JGQQIto19`6NxOMMtXApo{rKhgHdb(E}#VTwKNW%=47b+?ZqV)!ohnp|-MBT%&
zqx6%4{Z42H;MLr<vXd6(_#nLo32%py|G7S-j>Y6oOG87jOAJ!H?sSqOwYJVK0|Ntx
zpBj~@vWXTE>PE#=<|w=&Iw7z%YLHgij0ea6w>;O}aUuBMU>v2Ev+6oN;0ph@rfcA1
zQQYZ+Rfi~xI>~=nDhb+$tBw${`A~p}pkRvG5!OXP5P(Ju#1S40mvhEH(i<?njX~4h
z>>pb#5Ajtz*oEPx^?p-HLVbuVM4yWGwB4q{OXgI^eIU48aZz6Yo(Z+lQl_rJVvI4k
zq+$JfN9;DcPAIvZud>Ebw`9X&lYAcVLTFyl&}8SWU!>TTJ<i%z-$eelhf54Go{h#p
z4mvlR)_3s^I{`sM=0Ca*Y`xbV)Db9d5BK>YK}}=YzymFycao?EE!8j(3$1o89v;)5
z37;H|(Uu{`YdIcuK1Cjc`D%ylZfK{>cDB1;Co|=w%1kR*jlP_$Qvqo9+T0ca!4<-}
z4=C=k8_ysI(UdAiL2347e<by?WyfUV!h<VtE{1fc+7e^cddTZeg_*=yI5uWnBj6hG
zTp*JWxFcU(WPvYplL^5C-&rUl`zsdaOLV5Yt6?R9_LuW^>jRgXp3~~fxmN}=1;Nzf
z^$%<EdVJrS0tyL;h57-qrw>e{F1TzXk7aVz3O&FC$z2;!*>wETlg9cgghJta;UX3y
zi+Ay*+a4m~zYN4}Ba+=wtky!{`1T;t{6|}T)wj8$?oxOI-Q8qDK$pn4h!qWJ>n~c9
zgQ(KLBIy~~y1UfBFMND9h-rA~k6W)G(*TB1b;lZjJ?3IW(=f{lt;G&Z8A%!$DPVxE
z9zYbaOh$K1wr&C>GQkj0?*6^P99NkOS_gZb%!?u|?7p0`tCC`>Bh1i_>)<Ca9QUYN
z%#a%=8bhkY8pi`1RyGR4(j*#6<4Ho3pq9KxW@IzU@ctDGbEojodp-H*<tIQ|#L2lI
zXJJd;76APaFyEFsvdlkbWyUt9I!!knYCW^50k<cliCF5tB~6GVAW<ZOt~8um^1;ZO
zV6wJEmC(_ccpN?tI(p<j{wU!Ih`T3jlY8A-m($SvfL@KTK&Q`VWycb^1Myz-^z_VZ
zC6@nW#R*Odvgy|Fw2y8mG@$>I^l*0p8nld>NgJnqyYSrB!>aXqRlRRlFMZ94)AD>H
zBmm><ybjnF`&xgLcS3%Mi;YUP@}DyTrat5Z0`>+lNPxQSUq--bj-#0(TdRuEo+=#P
zNTD<x&o?9X+>2I3SRw+&pHVW|7CJ@}Ixv-qJ;Am!02c|KYH~6um!PEB`52Ct43mB@
zm~;<+g8~`va{!dy2RuQ<dI+%%4L0lAX^r~&DqG(GT|+yj=bZ5}$v<ScqDZk8_S>rx
zO2<wNs5k(ziDF#V3BB22V7Ws(4?zTm#Yu5QYEOy-1UI77LwFv?Kq|4qo<=_eTikT0
zqlv2yg6~}kPD+4169Yp%&Mp~OCiDxES_}qSk;mP!%8^X<?2tI-E*DSWX1yer!uN<5
zWO?_Zg`SOVG`7)=VPxne4mQT#-9rb7$RC11u+~3<`gK<arv!;5|7fe~y;#wE@#$q|
z<ZNXpYveWwouT)rfzgtG#P^T^VwwQvwhtP9y2~|Tw>r5B2+o^<QgZ^hMN3M|>K0d5
z6SrE@jw>A6I3EGWtM@N>{W&o{H2-J+|5L#5NF|)1${*WCN+id%fzn=DIIxE}P-l&u
z*@56n#Nmt5iRQ(bJ0g>-dGIxp5kwah=|4ar$)0KjCE5oE3ZWmrlSf8IYz(9uQ_p&>
zUT5J8RP>_KiThXJbkbh&4seoK*;Ph+8GttMQ`66t2wZ@?!6mmh60(wOeOvWT|1Z-;
z5c&#hq9fdVCUSASNM14U3}z07GFKxL7#uGW<D`*3RsQE5u^q>8-%pYOF{>pH%>48K
zY4fOb%Dey70tne*M2tiZuNNeHrTL*pgKF6b1*(FD-Zu;-n{YCo5w?SW6og~Opma!~
zE3l6a$E)%O9u5i9hn2o10;hZ7x|nR*i6t1Y$ae4RF84=Z<bzr!;PW7<FQaEr611ES
zHq?U`IoW2BsR)wYAFOf;@2*Qy_RKo()>*i_?pk_fbG-5c^TMHsc)Gj(lWOWyT!U-C
zD3tr6kcw!;iO5RdXyILfYF<mH9cyeK`!DzrvzPrwNitb)e{@xk6rQBFkmf(W7)nK7
z_E4PyCO0zyEd@p+jhttaPlt01nj4}bmNx(qr3<_wtE~`*LVWjAf1wxjxjO%nOx9h>
z9=-e_T}KSm4~hUBLNbAjqizTdm{rVjmaLaQx{^1z)L*OaUH<Ib!BA3Q_TZ`WL5*y`
z$OmAHmnv#e@xnQ5R1P2CVmS6}5?uXnmuMKiSnllbN+DldpC5`W;%LGxnpFgekEkRM
zeEFa;vVZ;J1qep$tSD;~iw4Y=0@9Vp$#9euGnmVbW#x(lm_qNKa+f+yz7(D~glvEr
zMbsTYRMd$|6h-cSCt{@wX>(BpnJ8#441ddFx{B*G6{S*yz+=Rv3D0q^VFkWG5pnU?
z`;Ck)KmC$nyl|U+1Pf{$@SuHr;1`e8*l26A!1kbR?+X@V_DlaKCFm7n(7SkpA{UOW
zxO#gT1a7o*x<tnUpi~r82@c{1GT?$2&p@I@CXw?V%OFOxKo&}7h{hB5)Xl#P4sDZz
zXzZIl*dq5ikoj)}bOJJo%BK&J4iIg^>sQh7R$yTPD1q%1Yu|}!gni=f7*s_bzUTI|
zT?L^H7j59>C2Js4c@zW2D1(F5>CAJC0d2vT?gsBN?v+6f)m!m(>9%^wccC{VMamBA
zN(%Ank4go1ZiVp~zgxZ-J(eR@%Qf2cSj><JAWS0)#q=hf7zT=RjwgX1aFriXRh{e5
z%L5Hb##!zg571^kaD;Z3G<3)dV(nxG)iNXF7urjs%z)3|-0Tp^2_nIry-cguT`n3J
z*qu9f7-_51uFx<uGU@~9_1U`gJb2x#rMAqpzJN^=4r9Oo7Jc<FJD)j7R@5Jimooyj
zvc>hu*Wh!j9zkwMJnOy{kOeZ3TO9sA0p}euyh2R)038wdkWi*503?5ZZTjC0E&cO4
zxDU4tZRfwVXwK9s8cHGu+<k~XfeZ)WOU-VS0T$6n1UVqnth)MNe#G(6qAkUR<2%5$
zkJ%V;UPl>DQgN{rQY~ySR@a2{=59*~I=Imwv~seIHMYJA=ccze8cGJ)BLe^|{boni
zZI2)C2M`M-$qk`Q#QI|B5REVzaZ2G_T9L(r-&Za1G}=1164Ffjj_J>B&A1-oUQMzX
z1TR_W)!1izAW49E!yzP_{pgSg&<bD$Xs|qh>=>^**!?Ynk{nxjGQV!e1-fG+Q9WtE
ziKYtEU&Ig@=M4A#9`rcG=BZpF?*efk!X3B0*Z`8xf*61Rk}tFP^oQv0eYExN!u5rh
zd*rjD%sRz$ro>DYB0aneTGqzIJ=72?H;4SWs&^VW4F}TbWHEcDwfo2urWb&VE!^Wi
zIesV9X(KN{iEttffM(~_Ix6#3ZD84p`xYLZ>8;m`wwtf4D4Y=1G~!ZW=MUX*{|H-%
zva%|Tp8Hx>ms=n0R_onPN%ow)yv0*zVdQZ`NPC#mZsz3o+Bzu(fscc{e>!ujep2Pv
z;Qz@Qr96@LPorgp(zZ!$qpT=H{X+fy<q4<VMEW}l`!j`hdJH^yH&e>QHD-Ug#-<9*
z>le?GJd9|yp|yB#pO2k()o5g0ahFSR?o6R8eOClMBmB{60Qafe*a%Rpk$<Ov=8uBV
z#kOR=kxv!(?k&f8tid4FYN<c_RaF~J0{N{0ro?Wu)k@vV@VUDtyuP6!5aY=EIg1b1
zy?j{>v~y-_@q_$=f{C+^=H_viuU&ZFGuj2VSr&CfrQ%zp#XV+byu|7)zLzyv>pnB{
zy&6rErmFY_TMsGpQZ+$-nj_D{%I~xg)EF~(u{#{N{HC6+*P4V8p*0Y_A`BfpgzKZB
ziHRVz7@z&HSDiAFdAZ@FG&Z=_;7RsnFXfA%gHlQW!DlPpvb<DUKp?p&**H7T@zb`S
zpYxeO!ZVmsW$0&0!D1exZyW7J|EOpRsJ(J<DQPEInJXlR&Xd_WIW=T-tqn%VQgLtQ
zIM(T1>M*7g<6z9Ra_Kc@i=Sb9Bo~W`qU4pUN;iyn$>U1tC|#iGCR&}Pcpd^J{Mq(o
z72d51D&JHm4-XHDTvTxfkY(4=ZnXrIDy^3q8uUw%_vLR12?$JEX{E74>#L@x#|GRO
zJ@NUA7ngg<^WnJiV~gIfuS|o=t>EjCk^D!6e9vGuk?(p5hI7tiqMZ?1k^r+D=F`Vi
zeK$#LY;NxFQuYn1Ikq)BC^RHQq-}aj)qsm^m%E%#n@(=?<X-7tCmkJca7FUSxu2}`
zMg4RURc<#}1x1Dqw3n21o!rA}E%pu$X->+uHsWwRtArv^>e!1&m(mrupRvcKc%)$W
zf8ehCYB+aAd(W$<AdHD{gatUQ^k!el)Q&dh4n~$tj(%=!)iW~-Lo;}3vuN^s6ZvR$
zoyy^Ld5J-|d){J>43-hKLFfqBQNL8fnPx?J4f|M;#viDPMo_9JmzJ(Q{%AEYkl3B4
z_`uI|kErgyUwshjdCdmzRZ5rRmHaz;=h0Jjq3L)EnMayY8BECECMZRKIMtdd!*q>q
zreP6M>&$F1dWDh$4+h-jDrmd9jZBmT!w%Z)xU7=Y^-kvM=IECp<&u%5&n6pO_zD?=
z1+ucgJvQ5d3hg`|nQ?mytWN;p@RY-71RUG6`vJ=$7b=KDSL{`7w4&J)(tlL!^RD=}
ziD8F}vzaHH*KAPtcsSX+=B`f7rg@7VmWbA=P4vtBAGkiBDJxFzk+~6GdPH*sW7x0b
zcCuiGV@2)LOK&g&pVr#c)Rghy!E+#Qp}2893v(3<y*uALdh%qo@+9XD8?}GhoiDxm
z7UdU-%)b``VIsni$8N9pC#Aj6QY6)%bO9_&^<zqk=;k=VsWI4v5$WhvjJ^i6^7;JS
zDsEnI|6Rno{iR|loBepM?30k^sck9TuDE)|a-J0zAIf{0o3Ful_w-kb+bu<3xd#?c
z1me}lR8#7$QRe97ncnhpEh)qwK)5-w?bflY8N+w9Hvz;9ModV_%VYB_S+_ih3Uens
zyWE6MXnQ0#+0z}+Q<i4qzPakeO3&}@yG>`CXFPlTst^0RfQx19eU(UG-{=0m&;1&6
zP_+>6TP6)ZdFLK;oh{9Q@#{E3elDI9Y#mh78iH|YH~ODi=wwp+LLh|X19^S{(*z6>
zF-)lGgfJ<v<&4Ol?K~^IFn+6RYD)j;(~3Q;?>~OL2(1+tn&9D4bmBdQ6?0o4IU3xq
zJ^TF3nSTc2Z=ES=Z&;w+Q;C$B2c?p@Rry-uY)+KRPjU3F-MB$h*m?!(q$2>p8eVpy
zRc!gkmI-qZ*KXeq!$8duxGUUw4gmniUYs20e**}BUn`VroLz%mrYRe@e*XNKx1r_a
z*>xrlEUKWj`!eY*&c%dZKy8A6TakT;2ki9?2M!KfQ~c_>-ZoWrEc{~=hv(Rnp6^y~
z`A|pM8dRo&6l>I`EoDACZ)gci^Io~Z%9-#B?JbXjw=|^-d6Wl!CU=rvkmm;*m*^>7
z7;aF;=<MS`kReY|7KD?tg|?POw!<c`3#1`6<s1lwJu#n$5xL0I2w-64qfeJ#zSO#J
z@q``g=J@AF*DtW;=jVIDwo(eNHTeC1T5D0rtb=-UnR5x+IKkT%EIaefwg^`SDU7DI
z;4mWa%rw4=O6JBBz%|rU@XtT&Mn*<Q&N@B;T!zi<98m6!&G^v=24HMwIb`vAkBWFH
zh;Y>7<Kw=(KF~2+qeI@N-sppjJk{Dc&t;e$ia^!oH#4YLXlmtekZFkMeXiol_KrC}
z>ih`SRy7)}dGEpq)`fS;*MB6}pG;+R30p53t%XX(MYiRo_}h#o`=WMdzCzc1nTA?V
zDy<di#>YzyCKx*wrgImfoEN_Dtmu<Tx^?|}Q0Lsx8Phx)S`3<*85$X>wT~r&CP;qx
zkQLO4ik)4iPN2zsl_$`s$Mn?LC3kD;O5MJF`yp1($wMvGF!mLwfAz6#M__r#N`v))
zeWnGDs|nTB23d1^!Fn&u0hhFW#JL#bs5iZF=Z?5<XU`uGW>v=EWt%r|K6&cYu-j*W
znvFQZ(OEr%bvAh;&vsnJ-2ww-nqzF5^YNj)I*d3qjPA{08>uV4c#f>>?E25284Fui
z22}+hG~0PwN|*7a)VHM5<i?7GjXBtzI#r9)$2Qg(jWlx(tt7PmjHi#)zd5$8%DM3O
zoXlIE70YpxDC?MZU%IVJ|Jd3halWd9L6k88?~5g-kMr}@<T#@AVB+oWhbN1x!QDAb
z5g+(r>mZwwmB886SN3K4I+&ZA7pfgd;_!TNx2qis%iK%Q?RF``{J*%`2e_jRR*F9~
z%OQ^uK@^|tW&8v@!xdtk3Kr>Z8>~~<p*ZJJ7HXu58J#^!oj@lp<ATUnPm%LJg$<H4
zK)rrH*`^3un4)ZF*B7wRwFeJicB8$=>oFey%pww2<!uA5xbu2?wC4Ky?2RfW9f;sk
zn43p-y@13t#rjjlt#V<@whu<RU2hp|jOkXfv3clB(Bw{PR-F0%Y3AUk-Bkl+0%K4b
zByX$o`BF_wnGc@>f__q(7ZjwSv9S%rTz*GuET5qzW$Ax{nBa<OmQw7jZHRW-TGDxT
z+;McK6)KBxlf9VcYTStm_9-60BYCFYJG4th)@eEymgv;kC8p$<KHlin?!5E9u^7#s
z0PXan0+($9TYh1xnkHZBUhK$V8(;G2z!o1~aW=MkWdWbS=9ALP?|7mI4n^}v^+QCH
z>-zPMO-Tg&*?lMSaGAG}Rzuiapjse**VWxal_2m(AUEsTr1U5B-NeL%=Q+%{Q38N0
zmDds>rfG$r0;=dspi1{ohI2~BuX@t$9(U5g0k>6kRFjqFK!V~rVhQ|y&Qu-A5tcqu
z>L0g<*EIB&cOW=yQ(wi4oQ|-8iRtC|0vq0`r0H)E6r@I{F(I~sKg`y~!$rzTr8tXu
zNOaHZZ~=T>EXQ<4;L4iv-~qF8ZTAKn|5&7S4Tg^CY46Qd1HLsf>}4>Ex&06WsiY=D
z-+jYatH3Nr*6k}j<ggS<to+$+NN=;xCCwhwgJ`P7)KesG3Aza7l={Si0xqDU!5{im
zVPvW^-0@(xPscy7-MJRc;m^|*`kAVG_E2F@U<e#pRpl6Vo&6<5QT^8Kj!V9li1-nF
z_*2C$d59!1-MG^l%2kDp2LN4eg_nX~*nOWQ@y|R5%TA#1fb=f{mtNtdoxTd;N<>mJ
zrhM|JhZglg5rpzkD{{2-#IGq-?Z&X-T3H~|x+W%@#&3|=IjXeqTZs~YW~nD(;ZFh;
z1*GB4=SZtYLoVK5N4*|m9|+=N$}3-Ve^)?s)3t%j7(pQU0u|J*j<db%N`JrIt=Nh!
zqazTlj`OJ7+6qGjd6oFj+L!-yLUD_QlAItFR<(JyI%Q;MKLtK41uG6v<>OORxLoQz
zNXNL)F3*xQHFV2jAZ*4s9lve%Z~}2#gpUcBC=e&@&v^TRg9mFMjtMNTY`1z=lRE8l
z{|-Eq%ONF86b*ycl?eqZ`u;qXYZ+_YjOos3v;J-o6iA-Op*@3%OfP`dxJc%8QS7C7
z!5YYr850E$*=@T;Zn>%?rQ&7NytPamNWxRrnDl~liC@B^h?3oe&TGZxH9MI>XjP%~
zF7Z9hr{pIOTZcfPjKsJhBR3agl!}nWMPQ_Q!Yi%0XVe;)JE=z?Wm@f$fMi>W4@x3W
zhxfpi)O+{3>6E6ZoJ$4^A}y8J*!1M}ML1B8;1@{8hB<T=V233893FitV)u~j8~5hm
z;<5pii|~b*r{A#m4jbn|$hDIUMFD$xE64zUUcolrfrs3uNunFc8ECPxv$OM5pa8G3
zN)Gdc_Oit$;;WF?vAY!r4I=S0k`_hp)3;5;RLlzdVUZ~9S`%H}fbMRa^1Sg!A3uIf
z)Yi5kj?!bhIi2Qyi%2i!h=-=)M{dcXszord-gZm2EI$Dxafac#=Jf;p{jzTq|E7z_
zj~~<gY+i4NHQt-Ph;2MS=(*dU#m8Ej7Y6D!d8$s)V`!vj9>4z#|K)(!uU|{4a>&QM
zxkv;?&7I~*CH_;F{OL2J-XGhhSxa5R5>&-+lwSDw@mOCsU7h++e-~22<HExI0|mP0
zFtZr>*;;1Dj?r%SJFqY~|K|8!2M34Ly&F~|GuYkpJAL|eq0`gSh|!LyvcP6XnKOTq
z1_8sXd3wqa3$6sK7AP}W(cXw&FHz;t;|iw*cDfN0=;tBftnL|APSYo4SP}dXTwpMx
z8P3P9H>)QaEyc3}zZ56Ko6L-}qX+qHEbwHb?x*7ak?M;w#qja%jQjV0ei%k-TGKx;
zkm6Rq1IP5<y^Y9f2<LVe*Viixo$+{RoQ-gC;nlb9UPpmsD&+|p$pDG;Zw!F}*yK!4
zsv%_ABZaM7y+*n+?mSmlrGACYQ^91XSGZ~z%Hi_43G;KP$6JbA1&L##grkOZr3eS(
z$$T^XO7LW%q&~}S88*2;YpZt99l%===Am2x?k7%Qcoq3LEKKqC%9Sg9`PMiwbbSAQ
z99A%EVO6cD>9B{Dgf<+kr;ak}QYy(mnhl1#5Gs+1P!dcqZxrCAR7Z6UhN>imglW+W
z2vAz`9k_{y8J}1RL@t*wm)?aM@F}!c)0^c4!j9YL%XKXSxVnGZ`i&<`y)8b5t_TOB
zt45*!B;34Q0lhsvDLrx2{qTUZoRv;;U*J;!grgW2qn+*Wk>^7SOh#n~I;<K)b%LxL
z^k$C?TMHylZNjq-h(~|n-h=7Ems>A}XfWfVi0xv~-3j|V(-CO%Y(U7!CkZD@Y>w9Y
zG47q&dGkfjs76zHe5=C41>1$Xcki$(XgTIY&WD9DCVb8O<hak-Spsv6DgDFeM7DP%
z+ZME;^&17BGEtPkPfxM}>SE|^I#{l;T`Rns6;zgoeqBTkWeDskatwu89seniJQ@=6
zb!7d*=z287KbvCFkUMskuOq8YW0M7vy@crl8;6LE`iZ!fp*;tt!Z<7I4SiSZK!q%Y
z{kfFL@^{{4mS*A-pAkL3fYrrUWru!&baVDrc`xTs${<sX4TK+5tq*FdQdO<rAotEX
zG-UdGZBG>-fEnot<ey`KF(Jo<3w$)NNcBnQpy!O?bXa&<UVG3vce%p}CgMYq$n9wE
z%AA|<bk9m`RILVBPWt&B&j&qI9zW*56Txg?sM^?Ry6%7~2cO=xE>1CnW#bP81sG$V
zKi_vFI(pphCq#|5S1*Q$NCm4@d9u(%YXyVcP2>()1@+8U(I`F~Eni*}^pnvHmUtkt
zvP2OtDhECH<~9pr1>LZ$aB}%kU^RLp0@$W*$rc;V#ir-q@8q!jRMP$9+Nwfy1wK4p
z@I48=eVZ2^S$kP8NQf2HI6*6-2D=R<_0^_$<`bUh7ZyJ4bKiGxU`6_ePyo4nm;__;
z+8`_@#)NMAa#)sK^7(yl`>nSgdfjg=5XQM7eluLYJ`O)?m{IKoyo+;5Ra@Ndj3wkG
zqBr=W=VTFHE0Aod2^r4|Q-Nd`rh@jpK0YNkD91}KwMZe+Vte12)(Dd%U29nW=o!eP
zZ{0gR2Y?W_%E`&822XC2?LTI$G~^f;7xTg-<i*RE{k`;|BBn`(NL=%t+AGdPQ*RJp
zOpknf1M{M-PQowHX8DYJAv~TG`NGOJ9#(fu1;<jtvb1F&4-Z0=62CyQ)KPo{H2$Q0
zAj_F$&kU_aI~`b1AcGnnlPB<>hKCQEUcS^Vm82gA3)aJV*S@>U<w30EEOxC%sNh52
zGlb=>$kCRp8^cz)8PbI_9Kkc5>=H7Y=Hf0C*m>^v!LPl&>T(>&D>Qp50q2JTJb2Q4
zlv~nr?M2`$0zrs_a9@k^{ty;gb5ff<H9Z~v$)(LbP-}5;<`T8yNqc)nZ~vHA!5EA?
zf&oE2HYK+4gmObVAOEwPF6}-gDA2E^;lBYB0{uJNiE|QKE(%gpw?teFQy>M|0nxvr
zFGy8&?%OqWzN+<DvuiotxJ5*Sphwj_oNRhy^!M6>_N827ui^?9R=LJ(kr%043Y)>{
z8(n4iM>Xrg;iC2-XLB3(wDNL3l#)Ccdf*{X;s#?nI)tBUYboU%<EQrd%L1(2T6|oe
zn0op13!J^smYlRbO@Fhn*QNuptS_IgVhfJ{<oFz9MKGG(-5IOIuGd|_l*H+8hXr^?
zN?R3T4{Rj8jq>5c@rI+Vf2>B=UR!<_R1Ut2ZcsscBCrxcO<P-=CxuZP$K!on%v(`0
zu@s3a<XF8!he8o*5oa?DMbRW-;bs-0u$;U=|Han9i@;{uoz;=)BK+gzCK-m>_P6+~
z@u6E)BlF2&R`PJM(BxirwqUX~=ONsANs9=qXUMGr{MHv1|0!y?TTXA46G(1hKTtxK
z*O?nTYg=-OAV>Ff60Sl-RobdpAdpfYf(S6N_n3kMI-cJxA3qwe7G$`BpaRUx1tnsD
zuPVe6KKN`$fZOUdJ-rn&t$m-FE8Dk3aDtin#_Y<+FV+GcOb-9a(18novOX$A<R>%)
zE+bugAi-I^-gk@*8eQh}4-7fR;aF29ez=%}SnnDp!P>5DQ-RNq*Km*$|GCk4_Vb`;
zg{L(~i8Sv@GLX3zGY+lEk!X^;F(VcpR?|eeFt(d#i_ri|C};o&^O`Q0ej+R!+Tw8o
zcU6v+r9O0%s;n0Rwrr5|N1V=Bc({KjTm8Z|-YcY91!YSM+yzezkSfdgjRK7LvKfM^
zx=eP6XseBDPls96N6Dsi=w%wl0<0pnF+{XzCA9l{?nFfeLT9!CBa{tCrlokVu&owL
zhqiQiyLyX#z71;BB6vx79f=EB_RC8ia*u}BckU7-v(9Q*?OW*#{qNu0dc#|*_N#IP
zs3a+?sHmhq<rm<6&%sFRF1HR;y48-Pr(ft}r|>Pcpj172uhRiIH<FKqgh_5KItp3T
zfLGCIK+xj7<6eF~CkDoNl>E+-40HZj$r%@&XZ_a0Uvo_ve$M3<#Uo3stG?NV*(Z{+
zv9diByiN}}lm|~?i10v>3YZFkWZ4b)2F`7LThbmhDR7GU5+3jj9Yax093StwUBVkS
z5b*6tn5Y+an)ZJXa7B!Lib~y7Q(blLWr>_Dk5*cP<ezNg>?B>0Wg9Pqb{m<pmx2v>
z4w$GV+sF;TaY%?tjVB8SGq6{5G3q`(J`ppFffTfMaLCEX5YNua>i-~%`VdAZ8Cj1f
zyyQj1#0Uag-_k;V=_ysb_9ZxsV#wSE=*>0eYa!TP{Vnj-w|)-~m)_u>#c$f?3eF!&
zFF?tl@mgSELwE)-7j8=HKnk$wMHJglc8z+aaz5WJIrcFoOFc}-EQf1nn+r9_I@-85
z9|y~A+;;MQ-cF$x-P|5sP*9MeIfBibHfYgM7AsD+4th%O+}Q*4jc402dhidtJDA4U
z^xXUQd$=TiJ!QghBv~U$p=t&LI+}Iu5GG*2VW-~K9iht%M5Esij9+6GbSzE3QS*CX
zZOF5PoP8-@qMKxU=6*L0jNj2;cd5~SNBZpZ)x$l;=^tvoy2jnO@%2o?hrTg~aqE1u
zpe**VouZsELp<_cQbhf}R^E#h8fmIYOtHkmgsD;J%=!0zo@O~RqG9f+O-EoZP}ZvW
zB9K2ZIl1U|FXz8nfMr(aMrna3RtibVDGsPTeHZbyCtj7Kl|^?7kTaj;v?vE-!i9%t
zY+VvXzbN-s+XQbt%{^K(<7=8y@9xuf@z-k2kr(HdD`H9_Gjsu+JsMY`UF+{2gIKso
zPJ-NNN#J1w*C{NV5%&Kybi^77LFLe))#$pr+@3^6Mh0Lq^VqRts_nG*f!F`@Zs5-B
z2c@}H=y+_eW}NxyxtrJyrR3yn`LPw94|%K>gZ|0V>lN`nv_1=B6RYl>-*97XJh0p{
zOP1^=QQGI(bM-m-`8!hW%<CmEpHVEQkD~m`Ne%7)X>1g<qf=XKWa82$uND^<$KIz&
zt)$tbj3Hh#Gqcpwv|%jZGv!w2<mRq_sQLEoARpr6Gq(~tsQ${h!W3d8t)3%!`Y1?j
z-pl}+gnqAT+3DFSSC}-?lvT7)|AE~C?|X%_Fom`*Z2jZ6=ERtHnPGef(6|r7TfXLI
z_k6^|qPyeaq`>LJMsx;W5rHyAOJLg3ddnJmDKv+^-h7`Pk+n-T0Pm>+KG2dU=VT=-
z&7Q1+K8taY0-uq2`%|Y_idp#etY88|gFy_xG6$b+nC+5M<B-Sm1TEEs_X>(dvHNEG
zRizje75!%`&x+Z$1FG$ACGE(wh)a7of1EX;3)k#?%k(m|)pXrjB_Jje2+ANJsVS!7
zHv{HglXnhT&OS;VU4L@yiIwA|^`lRzS?fj@sPoxxe@)XBAyw-+G~Ig^v~dhK?A*Dt
z^gL~qeg3p~NBbHeHGiQS6xn~F8+`%PL?{-HLJXq!sXHjdCZc7#Y%HT+9`4Goow{jK
z3;Wb0KdmYS#vF2^YYwap;U4PdIDjOms=Dq;(pAoFp4pNi@L+5(e&os}1eDcwc6PA2
zT#ov;c~HfcLRuNPA}zuwkGVtceWU?&0)lL>t!-MT3~mo9Q2?(ScJE$;mtNPpmR+x6
z^a1lwXc7IL*q`Gl&4vVD_jk>2n%P|o!%G5^hyw${@M$H28Be|es(kz;U*o4o5v`xA
zcFLxN4gt5x-nN9U|0C=LTwZM{BwQuJ++^#6=7Fui5?8EOl(!dsta50DoEcXXoKvPC
zZVJp2kq{FLditdj`8)ah31w9wc1cA#pK|p4zSGn`lDym^8xAA^-SPSMk`r4)IgzpD
z{a_*>h)++5Nq8tTU9W5GSz~nk_`S9bB*wATT)F#M0j=BSK8JiWbd;Zl&SS+|XlU%N
z(;FRS*4&PZ!$O-xgz6@H2#p2T-CZA4MTypGO3xZUc~${3*&jwFA@G~%LU9cI-<>B#
zK!8yx<`r$stERzZ8-d~et_S5Uk4k<1+2jRe=-fYl(4)X)jL}=(WdA0TPWsC_3VeWL
zC}=mQPo*~5UxQbU(UXG5k5#`72dX4hLig)a_MZ3s)<@C}YnkbQNHq<(;*BfOKgPb`
zPo@%#?e9YD6cQ2|J8GC0{Kj|jmUo+;8RUaj!79S4z$fwKHr!U6@l2CovVaO(P??V!
zRuSMlAu9sN8QSR-H_z-En?0l~o5M8EwL5oS-(*)+W!vZzIEgv3Ycm@b^ODGlXMSGs
zVm7Gc&@D<!ODAS#h9UuW!ZE}Kn1JlLDHq)tv1l#KWebY3W5>)DU%uA&?^%r)I{N$V
z(F~-Nmv@|st3UY+GKOpM@#{D{&mbFXOwbHtK5`Q&(eR_E^viiN^5)Ius2%~6;u1o5
zw%TA#TO|T$NzPX|8Q?2A-Z<8|GL2pFcGeFaG^oVb_0?cbPEJdOzfx9K7Ga-)Rq7+^
z@q(3HD;FON4k5gj2D;i>7(lwhUIN|H%wt7VCok&isvx^sHt)PoOC;}yyWDEQz7o*F
z9&v5so<N;Zaw1jkdaZ{~cjCav(#L$^jT{+2#@VX$u$_8*A4q+|=>ivFM(v8wfpm&Q
zruT`LAB%?tj()SrHzP2E<rR#QuE2y-ihv(3KGll7bZ~GmBPS>NK}YYmZ{xKemR|nC
z*+QR@=bkK$Cg4Oj8tcRH?~-LMsRweO<Aw{Mv^t<iI}Ej*uN)Vaht$wW;?^;l2NK8)
zS|8I#$5&#sezqW#tfaMg;zmm$kma5<8@;W#DQtSBM@#6!&LHB$JP<529Y4KF;apG|
zX4^K1ibjcviOon4p#VZ0)N2aIizcE$1NDaV?jjeDD<j$UBJ(<4qa1~hkZA$&Plf;p
z0Ztr6b*C`Y3f7O?66W3yp^E@ycTo^@JAT60svi3QxKnJZaGX@G7umE46wtUVO02?}
zP=+pa%SU1SImdB$Qk-jl!gJ_BkR2<s<}~c=?W^HI5?)*^SK)*(Dk35A9HmucLc)5^
zP!ECRa{B#&(7z5xN0ktG68aP=ND%@y9VW)}&KPb8XRuuS1dJJlgM2_&-`QBG&K(4<
zep{MBE}j|p^RQ(IxFVSL6ZX0O9h>Ktmarb><Zprdot(B{3v~NnCsj%NRaAy4V1?2B
zACHO&v57)01&su=|DRV@6bh-4$ZW`7gy2lW<+FlH0CV~#0E>_0g5+|$w0IO%UGJB8
zvS_Dow=SW>;@0yTcKqx#RHS9s)@CLoI<Ra|JyaB69wboX<f|X7$$nuiHI^A>!b<bQ
zy;w@MaW@VQ5l;jazYwHf2AMiy+y(6J@(Z~dqG5@!v-4Dkc)K6Gb-aI;^e7Ax^^n^o
z!h-;Bj@3#F#4nPvI!oI3_U4|<R7{<+k>=g%H|uqIy^>->5)GC#r06hoz^{K#rs2g6
z$sHh?fG9EnWik7MaXWROhCaX8^<E?N&OnQ%QHVtmsjY_(o*uC@%(-`O-;m2<L<*U8
zZyu`Zb6@T_S*g}>l7F@0Ia%^?6VD9t0xjZu5E=O0?THKgtSuuRwGNWH7fvs;d+I82
z>`=RlMvJC$@v3t8Bl&tSur=A|m+`Lo*|cNv`%HF0(l`4GznA(G<|ZWa(OuudaR%P#
zL_+{xh)&@+AoRb1FEck6EPnromj3?!jQt~)<>ywTNZ;$>kv~?rFa5&?z#)V$nK4&W
zrH(+!1SS>(LCby=*>5!d;n|c`RWfM=yrT`s1No^-#`lOpVXdiu+No>8;rNn_&x;?0
zAqSZ_s17gtg=C$uiRdW@qZqR_>OC6RpRI)~5F1bxLPWvGEn!iKuVpJ7sU=v|r332j
zc5M+At%horJ~8E+3J{#a86T5b@YDwX-ppz(oUQZ^d(uBt9ozQD@ie-pWas#7ztH4(
zBn=E3MF3GFrIy9R1FSTFD2`$al3u+Jx3Y%o*yF3Z{;slXryxJBhpKYW58WYTcR{bd
zRpV(|L?vZ#asXk73wyx>>vWs{!d&}M1vGSh6VQ5yossqZ`2KwW8jhzuqx|T2$V#M=
z_6o=k2>*k5w0it!Y}05%Ngu1=;~8^G0s;X<q^Bnmd@rJ%gx>TEQ9SM5Jl5e4B9dpf
zr??+X)-KNSF6EihXPzwac=9V!b7Sd`BTC8OE7=E#3}}F!i3weH6XTVAL7<`u2w*Lx
zDyO<W>9IH_RHC*<mG4Ftil{q$3ePi%Py}gto)IEqh8tT3mL};#A6kS_NE=~FITTQL
zjM0nJ5nYQHo)QWL^Tn|k?rQro7K*MOa)h+(>k8vT*wI`AkBh<Wb6JpZ;gwsSoZjR&
zH()h0E{Fzfsz%c9{LPzO7^kK3F5@F4K76hop8b8i!p@39SU)5_K9mYKz8Eb9_f(PS
zmlE7(2eR7tTKR;r*X>EE=ij-L8wKt)<}`KS_Q3I#!7k_49=Ej(#)D_)?ED-9Tiyyo
zD46uFn`}s)7oKUO1|k6g95*FZ>my=g>j}mNl-+sQ7L#yu1!9tOF1IaH45mG?H<|`Z
zVftOI!fOJ-U_Bl5Jc{YvDa?vpu9*EM3Hig$$hbH%{;8$ucnUIn?DS>e^BvO@+PD!k
z;t{CTaDZ#U4RjUyA3V6Sz_~pPx^~(F^Gg@>a}^C0Iz;lxb#zEQh`1bqO_|VoEeC~6
znn3t5L_(kcP%idlBK|aj-Qai;T2<7!mvDto;53{d`Ueos-hQRE5;&Hqj3Hx_MiO)R
z{(3d)4VQvt*DfE+?V=3;-eLn8&QyJb--XXus$gF5`h-ufWeK_U=sBOVY2}7;=7XYs
z3T^0RC>PyJ7GPjV1Dp*jtiD`QnoV-|2eysr^Gh&b*Rc;9n%jr$%tk3^dKGG-3J>5b
zuv1Yk?u48UflU<vBZMD<&HIH(%t_`E0B)?IF+y<T{YK@eQ`3LNgqPMUL$ezG>z5nw
z%;otNT4~j&Yq&X?qIXD3kDYZqdh}@H<JXX_$@<UB<Fb}XSjODAaREVNpIVc&-hC$X
z$q^74iLf+o<s+jW&q1P%VDWLV*k#MshexQ<_8Q+et?yay8Br@J96-L|ia{uT&|*>E
z>v8_fAv~_SeluM8<sc;U9l{g29=f*CM+tM{q8*Nl!C1r_YzPWC(CE1Jq(T<lcR4c4
zFBiT+c%U}y*ujYw>;7~a)t*JtSs~+V5`;7;G*a#@IE#c!0eC`vv>VtE>`r=6q*7fk
zQC1fV!#V3hQaG_gQZJ-hze)__3q12vwMyOCZ=?c76b6%MX{EeItdE^IF*6<)_LyKS
zsKutfN%}LyYd81Iqhx&e$&nHO6l;0g30NGE2aS2HYykLVjmb@$Hc|hWdOBD}Z|>xj
z^LQl%G$~l<03rc`r>?K};l<P@JwhMIZ#3s=>8_RAj38Bc{818W7Ziv3v{I|Ka7f}d
z!k!IhNTLe}EWs;UqqT$~UewdoWi|Q}s{7f*Q$is821)ejzB7DLVNwB)!(iUUU63ts
zex%72;kum%^>isl!egcF*dc-s;uSRhaxX3IkC0s%q`J!}$m7GO7vRV@g0kcbX8%bU
z8*ug5Fp8u+%<0=zV8CFNXmnPq){na|UD9BB?s4x!U-I{r{B6b4tMwe&xt$F~IA%XR
z-<qah$8yV6^-gegk4!n(nzyoHd!f^cFw40JU{}<;hPJKEc_(UqojAHt8Sb;;TLSrM
zEPkHj$2gEIz$xoI)Awy{E6|((Fh**~m~FiY?G*63N$)%S^aSvI=0Aj_L~wGNJ@owm
zy=hRe<8<t{|GZz7F{1SWgnAkBmOkBczkl|f6TNZz2T_g&F3i4LxX@%@qvQAMdSWdw
zAL^+JA!q(>Bju8I=9pK)bNsbe)?7l9LNu3N7)*jRX#|r;dsFJWAS7Q#v4EV<AE7i4
zUrA)tLo`VJzg~Vi8lmvLS#X!-S(AMRv#8K5yriyTSDMBp<s;ToJj-Y6eB`&^I&h8o
zd^H+fbt8{8bz&`ceKy^NzfB$=VAy2Ed*yf~$8Q=;DQw<&{P|TxA#5HglW+&UpaKXZ
zHkq*lkrL$OlmZ`%JRb{M`U{vLy14yuMr}`l1EwEO$!Oj0Yuj7#NcZ!j3&K?c?N({&
ztExJFu8{ze2<5fp2n-x2`uB!TT^V+szHsJv2SULDHw_gOzO{%ed5C97_6Oo*R>HnQ
z6#^K1LnPinF?|I5H6;Kwp5v!~Xz{@`K<E>#r~mvp<GRJdLa)W6X{ZXMl+d}FEUWCM
zmuej$)BIbvvXL4QQC4>*eAoGt8dpKcpo^h9TsAO>1Ex31TMC|sa8sy|^{-i>DZz-_
zMO4*~T0)X9qEZFOkhy*k{NWW8%ek#{>tPl<3kaM-u_*Oo1A^pssc{Q<D3~bn;ooAF
z{QYvDXBn>RRLo;J#ozHERxaj~gETK9uDCVrAe==4Q66<;+Mn|NTHE0#Zo*`fz<tXy
zUhoJ+ujYdGX;H5x%f!S~;uvu)I-0ZDqzxt9*m3T6xu^NreO|(1#?K{WI}UUlfIinX
zmkdRt-S755GG-?H7ThrAytLm%Y<F8<C>jknD+a|TO}>cQ^!A`L>_ypJZbB^4T0pAb
zOt$hEo0^7z27^|4vM9H<2MdkZAg>qnb0iY!KXb{MnVY*ueZ-K?F%ds!1As`~!(#`?
zl`vQY9)*nSAC8XD!9K6H<;M$KkN*0dbjBgn#gCaFmCy#L70;!tpUbG71HL68>{SSb
z$NGh-THLW5Oj_Z^8Svc?k5g?np228C{wv>SjJDBQobI`iz*-$YKV~5IN74#sk-4C4
zFfDS~089;`8d{Kx=sH#szw*LCy1Qq;-;yZAC)P4a>eeH&1K)_==3T6tIT#_FN-QfY
zYYi9Y@PQAmJJlPTJSja6^+jwhYwXM2ZnD&gU5zU|c>RIy1AxR~%omfLXy6E)|Bd4U
z0BSEPWI`4SP$TV~E{Ny;QL&BwP$U5H=$x^Q#1<9d=FMb9I1^l1oC?FEGtv9r+D419
z*ON|8gS9`FF$ph^s9nXGOGN=w(Q%YEAEhH{%m|*0omyXezq+=Tna(-li%Yvoi(a^W
zW2TS&m-p*{R}nKwcLMqjx-Jl<QK1s%Z2fdb_#h}#Ru^_X(S7MU3aPfUz44R)kZFgq
zE*?C1kd^|{acZo2+}Oy7mh$4&D<-*n_>ZfhEh~c41C{%1J)xeVp6b1Rfe+PWz}0Lm
zaEW`A6c>whJt4%d0EJJxP3F8e1sqb-roN(;rh>BpD%*9aZ5NIU$Ssv5UGjjz@&{^_
zV}(wFGjW!=!v;RfDSD6g0Tr`-Ke(0B1-e;7Q?qY!b)RYnx{)vj1O6g4nbMh^#8_m=
zCGg{iI+eshXs3CvEQcHy4KokCXFC-^PSa2z;Zn$u{V$Q4zVPMPcJ5U#1-3rwY-!<X
zJPH9Ee$=+_VJ)^e_5yZILcTT6B+Z}dmadUL$%<l@1{iL>*~-KecB$K+SBHQQfw(=*
zrmzDl7Xq`ISXi{BZ-vV3x5FFFMk{<o8EI*a!k|Aj6Av`T`C6@zFyDVGK;-X%wO=r>
z7)-PF6dq=!X>+Yz*HYlLhKvKxe%+)r`l+L%L&8WJGo9lK&mrI>_9;X)jkFju#I55j
zx5=&b^JfZ8MgNwi+k9U?(-5L>zi{3s?arBHL1(_@wmY9_lB|h0H9h7Fw$)dQsLd{I
zxZQy^47aux_zvNd(ViU%5tRl$2E{%AG2QGYJRoG`JhW4o@h-v^#D|$mm){%@(oP@n
z^uP3ULp#^Zn|(~9F=ZuI(<J``xg^XDY@hPr4v4eY`0=9+26BK^V0vpszgA<y{MaVI
zee$y-PZcMDQo#?t3&n@m*K6vjUf6%cK!JwS(8@|+>0%BT{HsIqd!(_BSv|(60vtb1
z2T391G#mxvwT`pK0fBBwD*{R9+TETjptALQv=;dMR*ZwLSR->ev_p0S)EF4s(hr=(
z`B7Bxq~3LA=#IM&+=$#Rt@7M>odJ6W))K(72Q2bv_ShQ$QU*E-O+7tC<A`hX!qiUc
z_g5WoVhu&z{RKlJRZfNN7lDS5970AIV5jStduge}vjoqIUlqX)ZO(;O-6pf$D%Vt#
z*l4KmRJ6eSQJ3KZ#w+<wtIrAFpnaQc=lYlwLn!4A&nrAK6>mY=h#k9OARr5FhEOl{
zgO`;S{=B0ESk3jDco8R}c7NR7hC!53FV|^TfLr@N3&ECKoO=_u)KF~&9P;|kuI*j0
zM%?8E1#F(}E3Q(=+ei*%@f)Eg0=X|<nv0d3s_XtmB%4nB0mI`LSOa*pNm5S|XdHa3
z=+K7A0$8u~+>A$!X!5bXtkLjVn8MW=2;xv|rj93iyZtwMr&q+lcdMknFh3tfu2Heu
zD6r*jJOwMg9>RH@0njz&y(>Qs&OSBGdF6)BpTnTj)VRbZgSJpVP~k=<7l$t%IH>ec
zPXXi?SjSxV!ck^#T7S{JsfkIgnn8C6KRqr)4XvA@k*w|yIEaoV-77D@+jPoxBVfRx
zcdO}=F>nke5@nr(uWFCY!TNpor&l%(@BBPJge&^10!DdmcjYdWXR*7Son+P!<pNF@
zPA~o<By$4rA&?u6;38^vqM=C71I(cg<~$+6{A$m~FD_jeI~W>2@fA=bzk)*9yLYYY
zQ3cK(Kl*H0O1;S81CGwlpv;HeI$>47XWs6qHX&GNEoBW-!xYot6l*N=B{L19*sNg#
zA041#XbG#ua!Ug--KNn4#b5PTLSNxWE$u;;ABreAuHP6L*QPw`kD&+jiP<1Ei0)GN
z_UR$RN%I~o)GSiQ&BFsqMmeA-e4oB713h7e&WQeGwOi&_xWzp~u`+`9Tt*?I1?VLz
zUd=V<T1B8mlU$p$SQxRf1z+K(*Uu$m+X+rcU|Lh&CUc($Co;09g_EzU4b@&=9RzuV
z<&`zC*EBr5PP6P#%Ug3JBTo3f7#bOtSm3Q)sDRLbXj}GP@7p<yXcP7mk9C;Kg?eE}
zr6+KKS%!?Z+i&7g0tqZslZS9uNWXs+0PYt?GDCwO5rG?8wz@_YKgaiTD8NW67?n^m
zSd)yo4-E}ckjzP`bFPIxH{I2_a1HXH-u6f3nDN33{&rw#>gc$NKl}6l>h3$BqRhH2
zQ86PXP*e~@p&$}WfFNL&G5`{7GNO_sO3o$_RMaxiWXU-xNwOlMk|d)<rO8>6<k=Un
z|2J=D-n=*S&swwoTCQ%orK-MgzjM#oXYYL)v)KV8e!$d&pgmk{RLv<~0@wg8K^P1V
z56^kdt%yb})Xz83Pal30M?ZJfFGgR+qc8-}5YjwRQX%2~8jcnf7QRP>2}yF?!SgJ8
zZRyX^kifu&gsJjKKY>-ujs?N$QkLD}ry0vm+_D6l1m8mHQ6SQEfRr?0slWmQfjX%(
zbI%`>ppEP>H}A*yk)W0%69BTm2wNJSJ0|o^gAIPXdyC@nC@cl&gNC&ES;jLYln*j#
zBF(rAee^NDL{$X^XNWPFEbC0p{JHbK140Sr@8mugo<(}@-MdnuS{YZ{Gom~Avbw9Z
zq5@wOxCRWJ?I)ZyP|_iKBkNd9*FHQR-k!2W0!s<pL0i${EBjBKx|IS{Lo)2Oq82&-
zz`z}#gWctdtl4HuCe^J*qXduh-HU7J-}v8}yJPpJJ&p(TM~ow<IAv=qqNJ=G64_X6
zz<vpL@CcH~r=OTQ_-&9-yFhxhSakt63=vk#o_q^gBAV=7!$N3_Ap!r6_T`EbatSBU
zxIo$-Om75+)p=IBxodWE;6r+6%7KJV#q*OkDGnOAPbB+#j|PJ@60#wT(0u?B5dUdr
zA3W0#Zi+q3H0z)hmcHML3<(=^KD2`i=#VPybLhX#{&Bvk2e$UDV)^VH3Drhzry7v1
z0r0z=gX;1N9-`)jCUhW_?t_6YSQHNTqHQsgphQbqN$JW1ioo5FQ@Mnd1I(@&{^K72
z5we?K2%EnJAN?&Wji4teNiNQG$jm0!f(^|UAU8N%H*mwuzLpCBC6En0@9O37F5vyz
zRa3WjUck9yZ5nsQr2O#I_IrzCM*HeE7|$y(I{g?77Ud#){qeNR_CB7!_?#zI<);=p
z&GI(Pg;+Ctm!6&7lK_&wJyfl78>I<i@4IWSkAZ9i=?3}$Bn2@0Q;bHVp*!I}t;X-c
z;!IC$qZ$(*!fQqgM6_cM+t?jufnczA%CMSdsX(K;qv$NBNAIQVutq-zZADh3EsxAN
zMa%S(08yR6E*+P@fr;tP_P`qOqCMu1aanu#I2uf7Fgq~cZt$Ht^YJ$q0M}-Hjzzj}
zp8Cl}(y&sATb}`73t?`R)X{w>aWzoP@0@R8p}XP(S`2a_l&)f<;Asl6GWy@)+i0`X
z%@M--cWA^KqXvBW?GQTKd;fSve{0*2?48nc|9vM6LIb+(%N8Pd=A7~XOH}He$I8sL
zc^=4|(OdWd*tove<HZYS1WI<;s`&4?Z+N}*==>_&2grVjN_$cBz^_C*JmxaBOBJTp
z<-GtX2bAYKfDiC-!Ly|$!+(7lZZ0X7<o1LfIyEUdA89Y1Ur!%Ud$(cX@EAsdiMj6F
z;kK0^r061}mW8Hj7R$ME<yVqf0OJ&`$pGaPfElyOy?lIe;(jmYujvw@yT`Z7Pr+>6
z-+<BO#Mu$k0KvfaAZbp*Za^J&;7#qrcn&M<A<#%T!-xfF<$EJ<Vw3q6ON@?=Bu52N
z^UF0{{hoYwJ<m|p;RS^+R-a@tct^XCq!fcfRSY7z^5!f=S}XV$)6s$3ehSWDLdWM;
z2fDLoEmvl`@~{g#!Zaw^Zd>5J|9Q`dTM1-c#k5TQYTjK|6P`6M#nhJH+E(vQiZEAk
z<%g#i-95gR&?Oqgr83n@B1}vqViYDO?L%wY?CUzsgrRT3|2QK|PxF+CcxH(9^7Mn|
z$7e%+Xuss|)Qe2b{oa3W(oH@mAWPhaJw-3+TiXm1JGe`UN(RBX_s-tjp!i^MgYOEm
zY33Vn`ahw6RH)qqvbFEC;7nMw^+R2cVg>pNiE@?<|5rfXaaZV^ARJ?ZFXyuZterP=
zzc+nio!=^0tdDGs$h%$BR-N9+x7OSUdl)#c56oCJna{dQLVN{|-nkTYc%W?M?#fV1
zIRZ!Yy6@7f!7Tv`We3~o8p`h7=M>KXQQXP8>Jt@p5(md(FvA7BdCI;&en1M*=dWX9
z-Jd&|oCI$nG&C?IWU)fjA@Y~VfXwzQsjIUaS8d3P1>BpMoE(^$DOwir_yKa{kUa@t
z$_n`wFFSM66yyF#SjNKI!M0-YOSwIo{479w=qA+*miE!d*Nj$Ah|0%RpX1qy$ZcKs
z!816R(qZW|3EV30FKtI;Hu76RuCTN{wwsKqTbBX)&RrsXI+|85@0nm3VS3@h!{417
zWG*~dmlwnZJ<p5PW+;mxt%UFw-Ns#gt{+`ca{z!nn_^olNZD{;VE&;x`JE5~6r!GB
z<$^?t$U?{Vd=x8AtTOBJa9GXOr}vgHB8sE_gG6^R9gvHN<0(-Js~SQ+&0;Ha%{Rny
zMTm?5-6;uJb=CbmcAl>Gx&XF<Whc*_{EoJJN_hA(_>^pSa(}TBEadv$KGgvc^hn?2
zZl7PwoB7l9$3RB5Uzhd6169^)`#=`F(Gop0R2hRM;`xwTHug*t>r}%=7<c||{NYU6
zFD<2p$WT{ixB~eCWghlg&-$64W`obRl70QD!#Dw080`kr4gf1AlbMjx5Cs`5lDq5E
zH)3GSI=XF#4{su!RT0+TPgkci^0Mr?yv#7ARy#qkkDh;GYTc=&_`K6WYk^kt!desV
z(MyoxGz(^rJuEqvZP}+r#52F(gveJvN|f9-7X^NQ<O=q?#{s-<;n&_dGO?=S=glbx
z*KyL7qa)x6JX7wmPqm*x?>rBpRJ&x$-lTL001N%a#sAJ0*Is0?8lC8YRiwo8tcI0Y
z35|SDCPC6)>;$A;15+BU;3MAOI5X8am*uJ14V;2e>|Jh1uIFBz+LsHK29>to$gb(D
zzV@0*RUet)SaG3dT?QRLW~@!Z!tXuVT><9-#La0j)tv7(THT$i#t;U7JhjY5u1)W6
z;5#wp#+<DX^&F>?wiZCL#NVx-sR5#Untd^8-Rc<aQUx~S<T)8~Q?iQQ=+vpjM63!y
z0)>NPHc<nv;3GxUVY9DA=PjokVA!aht<F1gdXeki<qhbX{Q&fw2ViqD8LFu7C@$ZE
zt<qw(=l99&aFvPZHo>j>tiEroAg_T_?T$~=6vUp+0I4nCOre<q#@uEx*bsu<!&wow
z^Y=SfoRzwt>AEu0+;A!f?|X6Q8HxY-_zJG6Mh*U^g#4|!U}~F;59ww=VF8q#&I$f2
zOHtuFtV)~@<{%C{9ldPiiwKpS*YG}hb@%AGQqExdJ~V6YfL=>SI4~w)j)6L?J8_`o
z$Zc>Hn^66MK|qSo0lt}^d;zD<|Go%JyKZemT*MzhIi=d($SluIyQSb7N-XDkn+_RU
z#|Y3iJ6bv&dQtZf__W|BMdt)viPJni0O#jM1uFvGETxz#Bk~dY!`r6)KdFO*zAl4=
zVY76M^J@|VEy~wy0tXmyWR^8a!tF)5zvW8~wWz(N(wFWV(@&|z5j?*8tO;|uJq))n
zI6F<CkV6{=<UfE<E<gXi@hA74nXP!i{+}pvvV5b01VYEq@brljx21;T$~zuNzh^pk
z{A|BX94F_p;~o>}1%SIP?FW;jxff?I=kv4RN8_IWK}dx}L`S?Mz%wC_+QGE%lsC@e
z_w@pzarvj<mqKd{HyQpl+&cxC)g_(7Is9+$yGLz@Lij!QXA?N20fr!LK-34R*nx-$
zIh&i)_YfGL1b6}GX7lFFq~!;?&?Ynyow2HZTBl$;$M_cp#7F3A-Yr^v1Vh~VGH1{n
zMR{~-awtrE)tLDl<b_LjeGWcaKmt)N-x&9F!Cyv`Pk7!=G_%jJfCSSd(08r0zGo>N
znQG9of=efRqP~x8hU4|>Dk={k*CG^ZxT389B(}(%Z@y`JgETxy0~CAXdzg#qXIC;K
z*KioPul^GI6nqw()Z+5N-HC_S4*7)BL8X1x1O=<8uGWHdZ+q6|-;3T&Q7>sTL^~P|
zuAdrz?Nq*H38d{+_eNLxzL&>t$D6jCg-Q8ZWO%pGnJH*FZf$+oVP>MS88sOZ91mcA
z#MtoW<V$<u333QI6x>zaz?I*E#fF6RQo02XXc6~`rXIEA$R<mSW5dA{y#;n`dO9ME
z_jefQ68qJ(=tzIgBC&~Tpl7Jst>E9hXsgfPw^elcuCcEApEo}>w&!nHMMsRsvnRk)
zMvrR%PLj=jw!O!|X#q&WkC8F{Q)1)oJF!>6O=qPzx&a{*2lnrehf_7NS0P{!NMiPT
zoF1_rUPuS7)RW%w|E2i{>sK|wxx8cT+9#Yff5oLXZF!nqx*bIlHeVH!lRRjop}iLv
z9nFA_oLDWkAe71r=u%PSPkq?Tuw?J0csg>cF#IAOP@b-`swx}Zui=pkXe?t^$3L2y
zV7^Squlc=v*4|Y%qGhY}$2j6S>(Sd6Zw1Iw`r^d}bOeAcNk*E1y`8Q<s+$?3E>@9m
z0O`qY9T}`u)@;l7PC;3j+h7q<Il`n@114Z-THiau_xF<}vFrTw=?%&U&EA5P5*fJy
z=IKiyyTmw=A1QkRF5UHh@uKx<@Gz{em(!uan^7`Fh*j8mT~O0$0sW*CcKBZM?+h{)
z)Jo7tLBItnP?JE6LYLwx*0}lJpZ?#yzvaN&JNPAb{n*R2HD%yJgq-Pzi>yCPwm4=y
zlAX3|e!6Yh<eLwh@K=0lkCegD_m$jetlZ|8-4Mf$s-Z;d{g2Vpg{t>ba)&qn*)(hl
zCzMIFWu5bzpTursU=wD-GrE@uWwNKdy}cJqs;?7V1C*Jrj4$-pZB{`;RzM5=xY)$D
zz~yw%TVhZE{zZCk+Dbao-kF34Zyxwo$IreK!}JzXDVx?}Lmr>3NqC>W-|L4<sm@>T
zZkrSmy$1b?MUW6!mOlHDfAr7qht@#Q*^%+$hZI1y;1e(Tn@qMezR&x{l?8?q@A`m6
zPoM>?)Vm86Bc@#yZsgoWp_su^(0FJp!LzC7{RI4W5kN`93w(KpY>6L&YEhLIV^$5G
z)+x0-Q|fEzqt&yw5?dX#$KbHP4<k^n*QKsS3k}4!OR!LYL-8Fne-^cezpwuvTqUAu
zzw<5F*~mnoVELkT`57+a6ZH9^Kw5V6OrYZV@GO$S;0g_-H%=Ar){K%dx0`q`mT}W+
z_k+xWS2x`kS7FoH5Pxfgz_y@Y47^*(N7pXV3tVs3-~nzJ4?$x%GVp$Vs`2-Q0C~Um
zbnV%@_aq>_90MeP*zW4xA6?Z;QabCDPdM?&9uZ;6JFb-Y3FV?Etb1@XsXCC=wH-zp
z7bE}U!Rerz1uZ|h@4T$}fL|C$eJDj5Y<O2~Ppiom?F{8}cLr~)S)ZXQy@&KDSf-~M
zXV_*&jAonxCN@Kt{sArj5c~IB_mIl={4{~@2s$m>8Iwy+%gUC|X!lJA1%>xbJ<8rS
zvC~`qI_)8s%7F7vWrvzuoQb~%1BdQ~8Y@SIsd1|ulZup)8op<o8#1KBymLpT4O7Hv
z+sg0?xy-XsVJU7_59#m96mTR8NS8iir%EjIuD|lMzK?zES|QE<@v5huN7&nj%skme
z`aX>pUspRYxCwR(7lASCGm>h+(3eSvY{-rIa`}m6J~{y%NIc4us?}<n`xilCI8)k_
zp~0`ic<B2{VE3&h^`9mVGXZGDJS*h@>G1rgd*l6~#2KVlI&or=x(eHSeul*h7u?O&
z#Gj~wV++To90pexBWGP`=YmLaQHWI_yZYTGI0_evtiAnKBc-I<Nfhq@StTMNp|n%x
z@lmv;T6-oyWtd9y-Ex~uqXd_jnPEu`@8ad~m%qm7Q4ZB{^QrSwZ)6TfjGl59$mJ(f
zf2cHs;h<FOn@5k*%uu8mmc&EUBSAZ8Gt@3-GzjEI0aGW4zZum)aRKZ?WZ~qXR%gsW
zL~j&%Ik};+%-QL6baX;X7Z|adSu&pm-T5%D5%w030>E15XlSxmh8Y03KPO_*{RPiN
z5x3^I@~M%dZ&YnxsVgd0hm8`$KD?Ut(r0Ae%e&l~nn92sZ*3N5w97cCpxAUK8gep~
zVXNn&rZwGKX;ZI2SqJN+C%oz1`yXyP@WH2H>kfaGzmgjbb7hU@j>suM_v6wGVnq)7
zjWB@7?;qY?>w1#76v7PqEHK5NV|Honf%k=Dvf<*i$vFT!k0S0<t1X`IsQ7qkpyytg
zGfc##`aDFDg^No3oAWLpOY%Bm{R(2^<`02&aJ!)B0@(~p?3+6gx^9Dy;#Z(|kSF>H
z_?EXAdQi`ulf?la<}^LykgZNS;UI9x%g6)*X-XXfu7j~yf5e%C{~nQ;D2GWzU8W)k
zFl4M1@eRh9<Or}E(Yg0JpzV&ao#XLg^Izt34d;nc&j!8kA>1-O<VVDC^LW7HVxeXR
zxROXBKO%D_3U{YjUWKdn9$sDr_?f^OLrz&a3VJ0yX!ObFLdx{$(EH2#fK}_l8Q+U=
z=?ciCU$iXbO-vH}Y&yBH^2o>lGJ!sO<oBQ^`%MY%qmx=6moK@!;_h(;k9``jXee~b
zOiTOrL+>%#msE`1RX|FK@;;h(>GEfup1OW=Q4tYqUAWr#8BSmU!V6eYh&4HlmGZc;
z&jULJrLwBZV!}zOMi%H>bM^toQ&2i#g5isbk?2Qg+1}?qzJokC$F~o@;W2hbzi!M<
zj4ESqpSk17y*%daPr!Jttf&aavuMsG@e)A5pyU*=)Vx)zZ3Ep!9bP$4vcPn6_NAdn
z{5R)*l>OKE(J*SIQxY~~Y;)1PS~)DvnpqY<9T-pb_{UUt$;+&3i}VR@Zu5kB^rgMm
zG!L;X+xlpC@92T<IIYHUJF)Sqn@6@js^r-A79TMteE6_uNzF~9kB*BDKd7C$dgm!z
z6-JF}{54sIViuWq%f?l2v78jW=s10P|7E*H>}5NiEK_ftzoILLcLz0_m8_|*tBZ!9
zGOB=up9IFQPe9SXA9alI%1La5SR4rdD=YwM#1QKjuR}wfxfjfbM>cT>mG8ziou-eE
zI%GFa?gtzbrE^fv<dj4(j%4xeV^{`J=Z-DBdgTfy^hGp0!eRg28bRTpq`G1qCk*Ap
z{H18<y2eRRE|d3TW(z_o7YoDe-}CSkW$c*%<x$Vju-D=%JWpg9t=`0Knm?E8Zcf1Y
zW?%n$KYlhaUvQg<G9bANfxYh~GUXafo|e&xL+E?jcPTfP!MUM6Y!rTtl^_g<qu$qp
z3N;PxH|7I*8w*-Y&EH7s>qij*KqgwOde^U42xbke;!#PJcF4}IZGpAJHH`740`1Yx
z9+|(YPE)JKoJMiY$*_3g3*fKcgQi%#9WvS5#o{w|m~R<a`!YE&@Hp~X#e<s<h4nOK
zD#P`?icC-d7Ojqb(xeN4D@Nsw3^5f4kCxb?BldM-)<zW>IuDJzWG&oDp8`~rmzMrg
zlKFevp+DhpZ%HoyL6n%}{fM#SMMe%m;Kz{hiDh6e@xWLf9Lr3QuvB9kzkGQKB!_eJ
z!%kv@45OlG@~iM83nl{y(R(6ZkzI*|?v-RaYDgxXeE#_Hacxf({1lm2+#TvtpGhnK
zN!-9!@@2dP$<|`i^xWtVIu;veyBzN)PXfp!6ELE(7T$Ei6UdM&4OY&k$+KnT>(Hf@
z?8*kaP0zrf5=5wQ41GL?Rqd>)gK}Bv^|gn13!*#mD^DGUw3Lesn>!F@ovB9Vn<^(?
zcU2bHaK8gaki`4f3`FEz<7eiVbxtUbpw=5@YZvX?@hWF$=Tz&2OXuOw5lQL5Y^RPy
zLp{C7*wh~@sAV9RHMb(hO6aXL7x`RNBoC;iF7ef?{YVYkfvmmIWSOejGXKGn$8&1$
zyEk|G3Ar0$jbSICP+`j3Z8`;s^H~~@_zi-hn6gb{ay|JYR8djUdyvA#%BYW0R4HEL
zX7Q21LfN{xu_SbKk_Z1{e^up;1`gF=fgzZ!br~a3#t=QF+0)fRtVE$=gEuKJIo!rd
zj9AI|L>Rm6j^OFW+{p@HOhqjYP)~gBvFJh;E#6{}@?<*T#fulbZPu9$l8S3Z<SqTz
zc7x3KY0^<lnOKav<y}_rxJj>@z4C6BdGg5j*rvThF@t8^vSRAm`x$PRRBE;>w*?vb
zhKZ)@IEqU9^DQu1jf^45qDP5Z_Q+u<NOJHIo5-$?f;B1JJpslyZoEbiD_U)ePVi<l
zjtS~H)vYc5w7RPjjvd@_)lq%+eYUh<n4EUN@1hE(pA*dQU||zOCb6dZSk@Y(5a;Ny
z$p(wEfzLWZXVB|gz11up$z{~J96GQ9<Z-7euWC5`nsS)^KcEqrB`osMf`yfWhtq<i
zjl#-simT+%p!;PfhTSu&Acu}BCDms#?P@vZ&#<t;@MO?MtbcoA6^vZ$5Hw7Z1&K3F
zQmknKLGGXI@GQ<4usB0cK7;~82T<?|ms~Fl{|4vhCECXzO6Y;v<pmd9$l7_S&`HT4
zk09~o=(d+IC(%LXp~69Y((z)rNS~pK1W*aa9jMR)ptB^i4OMyDEK;U^earvea~82>
zEUo$KSDD)WWrSY-bHz76YF%K}*uc}2l5{s6NfQ}1k_2c)UQw|N#LsFB_mRUB-#qOD
zIB>kpak`DS4RbP%7ZnwW#u{mZ*~gIMo8f=ri6#rQ;d;8du3NabjGSo{_O9*<F=G4J
zW8vL+13TJ@D4_?~J3$z)8&#@dx9_?>6my_7rMPv#is|9$4rLe29B9q+TQp|5W<lTb
z%L#wt`3NH}#^gc9P?uQ4xW@+BiwAJD^;zniOtgxT`>Aow*Ma&Fb7!SjS6r=ae}a+l
z7XmJrnaD}&>Qpc}MB<U?$e*Z}zioA42e+u(LXDs0po^C=AdS6)ZM}a@vAQ9R#Pp09
zY0ipf>V_IAvV$&+2?)5!7t45=#TilL-S>F>schMH6ZOm3Qf(9;3$k)CkBF0%(YsOq
zI|H(-R^NMXHR5ZvEpq(u4m_b1H8r!z6OyaJk*N<KJ~-4DKYY6zyEU%eiY2!dJZ{m0
z?R~(dKo`a;13N++oQ>P5GJW?M*m}PAq69q%PYx2k%jHwpkgQS5z-Uer%{7JZ8?_8z
z?Sx7`j8UR-nyS_<&uQOc7dBv$C5RarsqxlO_|dZL*1#K_yqp5=I*rbBvGhuM3tWJE
zV5XXhH_}M4$!M&qf~$yd98}mMcgnJ13{@En+!DcuJ)mMJHCnr<#iHkvgQ}{kf5Ut<
za(ca{Ka!`;zCFMt5p*E?9)0z4Otl?9=yOYx1wD8V3P!0#lut@?1`|(qn%UdM8;8an
zo=BVopDC^TRlz~n%HFWCy=Qm%ajir8Dyhu*fwj(|+u8e*UDC-=dE$VK+I!SGT7^nN
z7(*@@P!&a^tsB&<Me@VEVMAm{$f*O@3ctWW#@0R#>qHF~mdrBx5enYO1-~PI07W;^
zy4d^m^%>eh&3AXis^>#s&SB@t6IEHieyk)z7-+$SE0qSHt8~>7xN?;Kq3z2oSkyP#
z1vp+FR%i&3a$p1tio*(=R2NBv3-bKM3q2Uuw>A~9F*7mgK%emqlZe4;3<ISV6N~kM
z|9}4UsiPovetR<h6K7|^bU!c6{*uzfWGs}g^4Kr;@bJk0@rNgNRx-4WO!j~vu4CA(
z>C)a%uq4PFJ(M85rk-GBi=yI00a69B8HoW<FG@l+(KW&N`zx4sR;lW_Zr{$r0ImBU
zsvn%-JG_6<$bXb9*7YV2K0*>#@27Hmip4nqpNr}3+^mess*LMC_Kg<6WQc~NV}5v=
zCw7@DX3{kO>U(hFB7z^tx*SQOT|prsc|Y79OP~-5kp5_AxYB3)e<o9uok7;p`XyGi
zqo#Sc{>MjefA3Egr*eM(DDZ#!qt)f3m@vMLj(YN#-2eTj{WCwIB{_}m5|TYGOy%y}
zzvO`?ORN6wzBcKK>96of;@~ie{fuFye%L*+X>L%seG`PD9}eQV)50S$CD<d`;QDk)
zb>TWVi+IMtntbd539^HNk8@M&)lUnNY;MMRYLoM^Mq%lEv0<A`ll;c@!)->CogW1I
zxAUxX?Y~Oqli(FE?YLi9a+JXYk4<D;TuR!51y7$pzv{;p5gVJFx|xFNheql^<ZNII
z6L<we2`}x#`g(e)>%JUAUbSt_7x-&2GrGi}E=Axi;tK+0$?bH|2E{ukvG_0Yvj7%-
zmBvJoo?k9hWI5O*5>j_iWVWq=OOcG0R#0Wgwwq`Iv<!|>sF0Vso!l||epJ1(vQKZl
zeL4I0Wo3m?uaE?Uwzjq!dH`M)Z*lUN@S2BEazd9uy*m5)7yPkKVIw~aQgpP=JCIyP
z!L2YBO|YXttw?$R@0ZH3QTP<f0+}GqKf-QCwO)yCODvgz&g&6XV2+Gw7(+eUq3<CV
zJ!{~hk<RybcYjVy)$=;S&w~uCN&_@1W$ieBC509(hzlkI0|?bUtfN#XQL0N(PEH5%
zGLr(R@cu8$2xFS<viV!)$`W{thLKCaFwJ3QOGZRv^64r6Y6BgeFK9p^MKA~Zv<oLx
zg%O9LP%_A109zSGVn@Pi*j&j7hx0AdHpMV=SOIk`o(O%CP~AN~4!FBscMQpLI~j5a
zgTZu$-{;35N}oYPZWT)k1`ice*Q}q<<2Vl;N-F8f`lnV1BU)0wFX{3HM&h`WWRfr~
z7+$`i<&&_4QZ>nArUgTm@SzC6&XbA_ofZTjh3Yj`7wqN8@bE9Bl*;8_ryxFe$>?l%
zHuboGP>j$`rNL0_Ys-F2+I&XAWFH<w8!{-2Yn|)+3vscr0&P?oA=WC?bx8p0e4$rZ
z9yLE`(rIeoagu{h_6ot>yU&nSauq7v?bOKV=m*{o#fRJ4Lp;>V(0C!Ua;OHHMsS+|
zd~3uzTA)5HW0;~0I^z^qwKe>Zk`fcm4wrNde{LS|`Dt5AB^5x#l->wPA7aW&LCKph
z0RoI%mUtB8v7KQ&*(fZPFV-?>zAKmimkOJ6mN}3UYvf`-)K*utoy)0R4W;YTp{w_5
zF`JHwD)WDm^oy)&G2U<Zrey<}fT3Cp+sfKR%z2S@FcRsox_Z!OC+3<iT`hbGDIdw?
zL5A_Guo{iunB8b(zMO>)LAZ5PNvH%0$!OjMi=0rqz*Ccy1N~!mfIv~xETH-MH8fAI
z@B1mfi9TcM%k*t2Ny%Od&;KV0{#4UHC7IXqMbDrbSx#k31{rArA#46{Phs=Gp9@l-
zj^5zh&u{|X!+>xR$rU_q(+3*)7Ih6r!h@#w*RqKl>GiFnJ`$97U-mGbXcS)mzf9#l
z)z|cooS5Lb2Q@{vg{L$pC8B4eiF*E5_>NYiqD(@+aB$==^zV>n=))Bp--|<0O4NBm
z?AKLody+&M#nGnyY}f{r>PGnT-6+iWJN8O8lmu{Mq776oc)~^fuH2l0DVf*qFKBE3
z`q8<~S(9_kGW6?F0naBf-j2o)Rv7;%(ggg=#OPAgmt^dWTRABCUW31;=YWWY6tWi(
zO#!+jlI;qUKCCAkAOX!bZ2Qpk6x9K!95@JqlR;7DncH$uKw!jbt*p@rp&<&|0$+TO
zZrer`CSH)*m%xXnP*Iqg`8SUK?;8O=GE?)<boWE26n3yMi(LHC1TcSd-rD*NMHle1
zy-f)m8Og*Ir7XKQ)*R<;(;ByOrszwJz`Im3%WD4p$!GA?;OsG<m_}yFNDiI|c-#O!
zF|};*MwKsJ6Q_2p1wP$@`90;}1r~PnZ2#$c%y6Pd;K=Wx$}C>XtR{59w86~)2PhV~
zZ()={R8*AwrAy&J1&jXNcLLnZzTr$ixEmi56zl@M*3G-u^vyv`JHWWD{D-IBXqRlI
zmVxZLF7-Du(tXP%nu_{%9A*nf)9F)hw~>xU_H<XaS9u>ypHx8tH0c_jav)QS(Myw~
zQeE-YKU!h3p^G#-vr1ZCJ_Jg6%w#EKwR;l;VkD1hnw+<wQ57bf%E`(Gfl*N8dEgAt
z{M|{}^B2VDCMkP*x9hTnS&mXhL9K~QO}&I02yMD7$dB+SjDl*Hi~|HpA!;bH;eJGT
zxC9d5YHUU6D!Y*J6K7Y5fQI1}%(Z4&J4(@VeB*ek%kS^_aL?RB>9WMK|2%%rm6F~w
zsfFd1vb$PCe0I6EgCC0PLmoHm$S9?0!RRp#8gdGq_~%0So+r{RLbM+F@BPp;Uv|-X
z@Ay~y(NtNLF1p3^&0m9K{~o~4Z+4yV(RAEBVz76^>v&|j`B`^gQ#kCci;kL_?zitc
zYMA2PC&P#-Z-v!raf*QLHw&+_?>d4v<U8h0GvvNBVhe8`sB9j1Z*L@a(ec%)zY}X0
zfw?825iotl%qNuX2OunYb#){2O^bGMa~B+m`a@OKz~qnwbb*ws+S*Y80mrZg$Swa|
zSa`6+w5p=QnB(Q`|49+%t$rHF$v;Z4APxR-Y0fL8H-jjKsXgat$Q3He%4Sh{lyIoM
zL7|w9R$*b@ik4N?)!ge`FR83uN7@DW)_(vHvS4jfI{qDMzv=eBE>!<-+7JY_mxM`0
z7$OUq6iu)?5)*(FtHAm{0Zl!RE^uHw!EP=EZ7>8E)xLR4;}<AEfb6HMP7{b6!vxLH
z+-3Z$cRnP<FId<>4?PHJ+2W=Z=@Pshvv-C+Y%yww!Gt1qp*mq8!*H3XKn0ZqtzJlQ
zFiCsUFp6aulZK#rjVZSfF!)Bo000JtUt;qqB+DdAV1Pfix<tTqr-Cl3V#u8h{K|$Q
z)a>}Q+n>PFLu7y>#sT?Ok@-?E!->Jc%LAo?RT`PcjQ%DO$XF^(!-v=g{Od%sjxyd{
z_4(sJu^L$_8MpV(1IZaDCFhSne(}Nv2OyO;Na#7J)hahGgpH9Y;6L2BDO7Mj9(pUv
z%I=Kdsp#Pp6jVgXV^U7KtrsuO;`+{-lxT<f!yGw{?T!?bdU`a<L)OEu3a-MooQsN4
z%F1;^!1t&!ly$D&YIy33p9UKXMMH$3kF8C3u<*co1(EqrnP}dwKlR0d*${D--0y-1
zfH!G!aP<?M^0`r5dX6tM7%gxe=#6RL-eD-h*&=`OMwMPjj6=W~#Q3>!+1No43sKj0
znEIjnn%{i5Wi<I|uh`BS*@?<-ba3sG8DW_N>?fLc(emSsjH`G(?u)pye&lBuuhJAA
z;mY>#b<Hy0I$kvf9Gr>=(sm967l%age3{2~Lq!zh6e<dJ+>t}#AHl2CfzrzcLkWiA
z7I7Yd3bdf;47Iqd(ab(74YqM%&_pSNm)3jmS?;G_(2R$Z-zc!gfM0JAd(A%g8SG|@
zd*FNnI-G%~V@nGP3lr1m8Hhn`NNA{%>XIe*8v9c4f9S@mz5-Xh_B$bN3^Mln|1S$(
zRE3kOXkkty83AaJ!#RsqqqSlQiz72K%Mi{rk+HE=Xa>ZhDG>4U<;#3wSa~+|un<j@
zG$cWfx@tZ1oA)g;CTPqR7H9Nu;XQ!LlYkp2RupX;p_KZ-#;)lI!t|uyde@UIN_m<Y
zYJAu<hGJd=%*Jm)IC&9LY9qD}z-KnvGG1{whDF+wvTZ9S0M}l{gBP5v{@$KV8zwVq
zpnF$f^i^T)Q^D&s+p-(uK;tdoXJ~0{#pvTxHkiv}hWUIWLX$bL_Dc8N$grd+V3!Xl
zTLqJEM6AVK0_QdoOxzl_qAebIN|*sh^>uWb?nlk<BG?Cvg|3?)mcXYQO~3v6<x7sM
z;6I%jley~qm#4uE8;@B6`lfUsrqugs9yV)#Owq+EwRdPlzw;7O`?Q~*xjB+l7iZjP
zlLYnH+9Y=$MCeo+9&VGf!}FbtctOMmID#K!cYuPtvSmL|Tv{-UV1_$HF)KNQOtu38
z(fXXfr^CVaWnHZ3*SM%Ck+C21@ug-ff*1Bsm>N;Z;8WqE)pw8E0N~)DZd5To7T34Y
z^(3g@!3DhO=OJd=7nb7karcrpJt?*Q70PolK|^OpQ%@LLEO<aO!F1fi#kDUk8GbDa
zK!dR;2r|ElT`Z$|)CL|ImFUfT8>Vp?rUAi#Qb!)%M}iw#z=)(!K`NAJ+WI^4t;Crj
zyCajQIjCse6U=$I$H-BcjL{_1=W(jD*>0AUy!>-C2h1Vs^uEn!i5ARD(k}+ui#i$$
zSpl6OSlk3*;^LjY`K{XNZ3)@Vh<_#U=O|EN2y_q=Q;EI(5S+0|c8nT7e^@KwPjsCQ
z!a1zSPc*&YDj0)9u*V>&v6SfWGu%TmG!nfbqiq(;=dOs;Dwh8;OXYW#`%vioVHZu7
z74!>*p;h@uBLxo_B_cUlp;V`Wz{g13-Dir0nC58+GPSS8aH;nKb7opb&$QxhVOw&}
zrvD5~C^8I~@ET*!x95bZ!V)-t_38dKNeA&Spb9H#dkyqfi^X~D8)3{PIVKZE$_?i!
z-<p(!ONH;iBVwD_P)vI^)N*JMAYu?tAo|Zbclbd;%YJp+Otm-lle+B((UbM5Nnx8=
zHF1F9c9!`|_k2Z=Sw}O+PELIic)-$_<B|xP|CyP!BZ#gL{GFf$V_xP+jYK?qE<fv3
zW1sXeJgQVMFSn6{ibWoWQE;SbfVfzWEhG{05sU<T&i&li*MQJRM#Kf$Rkf{w&ER8r
zsbwHXg#eHsX)3nEP-I{iXCHpF`8%W3ry>b6sa;u{WDdjV%}{BEX&t+Kf$h}u!c^Go
z^Bd+cT^FG+{{ccm4@aD*>WSzd&soXf;BWWSm00h3&$PPj(CDAYo|zB_Qg%V6_LJ85
z2A0X`pB~xmw^xfjrT|YXO>tTU3cZ&-@!u}Pf7sy&uQg&GRnnrWlwj5Q#6jb~#CAGj
zy4Kx-3?2ust8+h{&z*C;Z%(4n^q^QD*?K=}!IzDMX$Em77Zu8?Buw|R-v<p57>(32
z;7@yFmmF0mJy_H9+RHviw`rIhq8q;qLfUw-W!6sW_-Dne{Tj9VE+<^Np3^Xo?$PmU
z{8v^#NrqXxP)8)<X4oUO_y%?!+*bBrV?yQJsoXgJqF8LATP*X;e}prmcZ<&;Q}yIw
zXjKgpvX{u3K?k`&+=6cO>`qtBS>9cff>f_E&AiJ-1uVxyn5lj|E@_d)75PS`q`ALm
zHQHD4M`a3V=j1rhq8ttrpP~X6K@Pk5z_kawY3(~y?FRCG+GH+o<ZYt2=&tp1PdSY-
zrNj24H>ZIw{7G`NtsaLl_75#>H^VJ((4D8j^c*xI+?$!{iRV5(b-E2mn9LzuH1iU}
zD9#wQ%(UunQs(JS^<R^WAjcAoQB6<Ize<88y7*f?7Ic4%%u4z>x>&=~qDR?1h2?Yf
zkzP?)RoI{mfXNTc9f&;yH{@*rwTrupW9@6p2VQVnnS4WA8lCyBvU7Zu0AN7ni@+96
zP!x>yDT68(dq*r;_JrA6r8@;CD>}f(OLgR69FP<X&o9(^U3l=)fX)0)@(EHNW)3kC
zM*78o57G&Wg94CR=m@68D(n4w7FuXmXBmv<vQJAZs+i<)^@(eoQ5cSSp3O&>{#w5=
zx!LM|z{k(c4V$!m0)VT`Hgxgx_DA_ac--x=#f`%=FMwFj5%`HP88<mUiJ$-6>Xre4
zB@FvvhJSIdxVZQT_A`+xsGN1DK_1;$P*U;;kdwI=k{2yFpWSO|Ys&{dR?(GA+{QkD
z8KEUU_DRY{Rp3eOVxMdABRyz+U&eU*1Ts|4{@ZE|&cnX;A}q-(h2CnAi+yx7y0aFJ
zt==#@B423HlykE@8Ea;Ve&dK)M$2}67PGAB;ka{pTP$A(1Z+1{+q<DWDlTgeH4XC<
zgk!wDy!8C?YSPU0-|4;5OLtOb_>i^u%Ymrz7mXWpBDOrRU-?p7Vb}niA)xA9R20f#
z2I)@g@moEs7Vs_cb#M0Y5mKYh({MgbKAJxHH}I}`=nt%3-X&U%3)?;A?F;%=HdU;e
z|9F9QuI*^XJf`@XSN-vikJReF`~{fP<BBRknp`G>C}t>B?1lA=W}=thFQdv}6aUA7
z_K@~XnUUj!GPx~)4Jwdun18+Mp$jTZy}LfWkgvSGNR6X9-R-X$-L>vQ4GVpJd$S(q
zT^2?<MrH=Vsi+gg_gIAHrFQ8~Psw?OM>X@{)Sd(59CUROA1{3*TqKU?Cz#JWguADR
zkPpF|GThR8<q}Sh5f|EmEIzNe)$C%?Km)sw%#}i_HvH6o@}ycE7X6|nB2nX2jM;on
zZ}s9w49>6`-LwjeG8*k`j3XvYNMc%_yPzpkA>}wOJE$;tvxc|n<n1IQk<L!5b2;~q
z?F2&%;}*-opnLA`9|zMt3#DD_TqQcks^Z-ru77xXz3DdGyc`X|KPMFQw#>9A*BX{X
z1dk_*E0-VCi*U@i>e`t7>n<7NC5j0WN7z_Sxc%eW^eVeH^L%+;UQYsy$&8rYuXyNd
zfMNb6xmyueO?6A5J@>F(21irg%Qg4&62V03sYy6NVl*=LG?n5W!wIQm`;4ctX4fA>
z0nKp0pwi;z+w1Y8F%)2=LFM4g9aJ^_#Iae#BARp{z^Up0c?A}4R_~HmGAQ5yWOKl6
zs?_KshhiLvLm@3KQ27mc)d6+_&qU*+9m3G+osW*J+sJQ{u~>LZ_v}%HoYQ;*egIlu
z9pvvJ^@xMOBdT^^8VD*B@;&n;nJP0^;Q}3UWS<%BYrVlB@ml(EWZw(A-LE5!eETOB
z#=EhNCkv8Td&#~IZ5rXO=+{I37_7Eg+#v%_4KKmLam-0sS>s85k3J(_&UU@Q*H^Q|
z3pD0zj)<@<qo+_o$m=lUvQ3A@JGxPiw)(~k$9&`EXZadpG;tX|6a>xuR-UHXWJbPs
zXkwvIeRo-k{o8>JC-O9edl43+V$;sjFx8mdHyMFN%VYLw+gqOCiWEK+!xYp?t`m^I
z`7vnT{{|Uf9#t9Hv+(vq-|=KV1o7PwF{g7PqC1ttrn2ZHcZ&=gs2jV!KHg79w`C*Y
z0%YV#^Rqm%?OAOoT#v~7PSU=1%R;qFJHY4*aM@ah&@+@2XFt1Bm3y3lOu^ruj|yi)
z*|4zyX$deeLn$4%R`N<*%2Y7e$a22BDkbx<RsT!trk>t_eNOe*uOuhz7x+k8bk#N(
z&wm*bFxJK!cs|KPuUZphWP2j#etB%BD^eIyGW;A>x>y9?BSgo?nk+V>^_GO&j%Sf7
z1EX6|-7Cw=0yiDFMwwi|NWPT;n<v`jHjt<#InGR{F6htw9#1HXC>GAm_A?#F!yM1n
z;HJOBHr3p>QX@WItI-sPqb=XK6}@5XbUwJZ8nHX6VC7&2Vm0_XKs>noOTzB+rg3T_
z66d(v*VYbH0jNok9n+)>>x4?VnkS`hM?_EI87VFABR@axB#TA(!VElM<St#RX%Pk$
z-=_cVQZ({~i!j!14(u1%{4g?ev9Q1(n`K=9NSpll^zLGJdu70GAYTULPk9NM1Y+*i
zR_tw~sjUBIZ~FV76~IOVcGjH$yY+))J9$$iTR*qwH@K(tZf#^{fyqyF?Xig3w*Qc(
zFZoDYEv;59zhhB?Y7Q5cAmlnWkmJcKD1?Hgil8C&-S`qhTJ<w7SwimALsvX(QqDL>
zGP+%vJ7uNNP1W%i%{=`f<zG_}rT_QBfxj#)*(Z!M7I&AYWU?8(x%CfRb>IIlj0Gop
zV$Dj4t0u%r@u?0ed$m4j4);});iF69k0aj|db0LDIGh_vEmflmS_Yx(-d?&|56YKu
z2#|NhRo6BP6V5ZhPzqK2*W1-Y$k;p0o~^(;mVRHMhJS5a0LBo(KqY8m@G7o{-Kr>W
zBNq4UvyTB>A@K6KoTE<<!rI`PenM(mZi<D`2~OKHiYOM`9zMQ4i?85?L4_wn8zMq*
zB+H^ahw!^Of6OJj5-%kvfhNr#I{F-E(jlQ7#=H>l*7*!QK{Gzt=5xcH0{G`BINGVq
zA>@4vQfF_9#5UwRbA&YvB}H@TprHe0-9DFVFao_(6{p_VA-Z|XmSG4oyU6~DMtK1G
z(wGZ&F{RG*J}4Ot`m69*5*8R4V`4w(-6#i05x^a(w0YDrE|GqkO?t5wEUa5|8wvf4
zT1NPl=&V80#?8TT3ZBar{tmlv;w(ZcvxF!HCpe*nDZ!wSq6_XB5#3Oz_@Nxd3MX|O
z&d7)C$A?mf8?2gFk&Y=EnB60pn7TQP91|R)kn#*f67pmzHA0C!3{Iy$D6Fc*jR{&V
z#iFAs)G~Z&D8QIAFco{C+)C=K!-cp7bkT2_iLfJw4z$S%bn_@w3=vc0XQ_ZadZF<s
zZb~;(FHnneaQ^!C)jj|Aq1zWin84C@u4;&h1<3A~srHGRDs^PwWSFs{Om^~W+}Zcr
zX1h&GoIvUZ2OVsKsHk${B{s`q3<k}u9wyc%1&$!a6ReuT1zQ?|U4p6zdNTky!UM-_
zYm!Ajr(j=2r}KiUp$NL3*<(dUW=%On*aBo6e_-XS1AC@47{78Pt;+46Xq?Hawts^=
z@yyFB5*F_>Wk@lA(KBO@M=+Hg|B6%IW-_;wSdL;IY9*>tX2G5k$LZI*r2JR~d&sIA
zE<8{I9PS*x9Z6XC&#A!DaKh`(gu@|fnOn#uB-2854o0rzO+AVXj#OzuifYy&<@?!O
zbRGu-MYhN2O3@AjJW(1NCX4y-wfs(G;rQMtKHQoO6<<A9-NTbR#w+6-IH)A7rmwQ(
zK#E938AYS?)Tb-H)#wk_N0)Rz`}7D|l2Q{#Q^B0$7n=XL9HN^3^JXW=^oJZKf2EH3
z+mCnx?4iJr^9%q2L%Z6M>K^ra40$Zl#V#ON-P2C`0WHrJhww}*%ofcsObAa(s`P0b
z5Cy6AuVI_!sy?g5eKXU2Go9XzldTamIC4~);3$zFgnTtwRI?06A309u+Ogqwxt<)K
zYyfcW8(NQgpjAH09!fId#Tjgbh+^+R&f7<gp_IJ$Qgrk4q^V()FMe{VwHtXoxC8o@
zk`=RkcE#*{;q9%T)$r=-eN?&rGlJlx+^C0;g>mus!LcFS5FNN!>FMb3yIj#xkHf^x
z#J=75)OC+$Whe19IJKf`pl)H4V(2R17avnZ!E91WH4eZ<dFJOAi^g2)_w6V(r7|_}
zPKM31awexdJ28J!dr`~QOC1RSOUJKl!i+V&x^2)ry$<XcWS6Ub%SiK&KXoo_-98Gv
z+SqvDecm!$2rY86&~s}YLOF%6)`iN9P_BjVCTjbbIFH$YhV?DYJPP12g$o^Mh}8%V
zw@cE;N@lewV9}hWIUXd#LbAic0;A9|PCZ)<Zcooj+Ma5%pjQtv4unC%q|^m<7gcgz
zrVIGi$Bx~kkk8wwYW4&f|5X-eLUw-oGzb>W;o#4TPY*njYU?G7&}shA-=nuRjORoR
zpBFZ{6?%+vr1t5)eYnUV`d@^H!;I<YTAXc8(|3>=$xEFm;4sH49EsyhDXN@sLQlhK
z%A$-SO1cZ4`%jUE8t<FG*4d-;)R*XhE(hcl5da2eyH?OJpnn+%oR_c<$b%2WD3q87
zZ0II<#=0V;BKxB5&wd~N;d8`U=l9S5^aghS%(wKxn()ZcN6r4pW_ua$Z=kL?sPOpJ
zr3K5G|B$Pq+o8WLeD854ojXo}SD)nFi@3XOvC6$yEIaQkT)g)2J+~D*CUzvAx+$|R
znQ4t%qV!9i%+b-M*&-XRg<cIkV9?ez@%+43ovr_kk~eLVGgjk6^DJ$8PPmlJz1F;x
znBD*IUq_vG{7sEr;6_g#81nk3{_;XFxAj2UMv*98sydJkLp5DEUb(rtKB+fUM0h;}
z#M@WQ{##oDW(~;UrjnZjgVS)m%1FQ>W#C{Z0n}Gt&GVAbG6cLY5KDwVyfLQPqv%>W
z`Wp6Cp_D@g-^gDfZ+ado_56wWht9|g<p)VD4Zm9OVn0K!_9!iQkC?%#*)z<M0<kd!
zJVsqKZ<y<uv-e$)CG{6pW1p}CY%Vw`6wdA2j{z%qMGUVp?Z#fg`oZTLM!-ElCLfB=
zjDR=1Qi`E(q}=w0=;<Jtw)c9;4SorL{E~04>$2=?yDX+E!#;mx*D|lXCN2FK1H@iJ
zW1)*)Y-e?xe@X9|+1N}+7d}MrAI*34r_P*-!bdaLvt?7ypRd5-Tz&l&GwBHvAB7BX
zEleP|fLiXS?sa_N5=Pc=aGcuf-rU&3$%zaf@rCr<kDoX(3{qbQHuC<q_?t6#(Cp>h
zzh8zF8B#M6Yp!^OcD$~dy%KbjO`s^s`it2oUMt$Xid85+Fui#rhF?|!HrhiaFaRth
z)p!#)z9Rdu8R?E_YSIAEGSe1CW<x}$rV0_<2u<t(s<*F*WfjB~*ttT4%{zYuU!c0V
zyDNYJ2M^Im7z2z)t3HbjKCB9)N6mg%o)mlF9u0q*3ZG|*JZ}KEh(d*dyqR^@FPk95
z2~sQqT)UD|TNxp{d#XQob<0=PI2cr%qaDN$wMXj{ue$QMK6gT(0%=Q3Uop+L7z2_*
zaA2oSpN>Q_x%r^ZV}M4i)oO1{NpUHS>qkB=Nna6ywe<HR7s@M8306cY^4)cDi2`Pb
zZ7sbjR#o}(@D<$54ZJGhAm0}lrf>@gC=lmjAWMDvDnuy;q>Z&}6EQC)@*2qaO&wQ%
zSPc`|2n>{rFsx6Dycpy>KGG8fhy3)+tYCB9f^pTsYig5Yv8h}1@!@dL48)<HQHE~X
z1|2!%4oW{*&XuJYsZ-0~7LsY0>pIsck#@yq?@23!gd#076e^xj${@%D2TvS7ex54n
z|Ni}Z)9xf~ETqEtcz#)$HI%}p_j!u2r?8gr2?|z+87SXK)+ya_KuD;j#iyq+yYYy5
z=QG`uT2((_m3^wozW)A3(D#&HeLy)NAW&6UP;kSo00K4dL;9`zckSBsflO1rK)r@X
zR5n_Z#eFbVOu)OSF559%Rt2u0=c(5~4K06zt>e#tfPiZ{I^ot6BL;DPeW22ICQFeq
zN}H5r{6GIx9kiIc09}|gQa2(?I}E$Rl#;CAHf^uaO<T6;pWV-=p4FYaN=kY@JnczB
z`E-tEGuo@#nG}~jodz5r2DV(E`5EdntYtwJMGgzZI?ZM{^313j)Y+KplkX2+gsquB
z?B6=DDrvz8Dms`=PM$p!rJ)}`N}$uG;y5|rQlfS4HE9#bKtV5;X=5Jujq`$viqDVc
zX7m%ljU|j(%y5yQEn#4JiH9j%%3lm+F-?;t&7|2m=(08PUfw7%km#ZS{d4WuaUAu^
zMciJ)#;h2Wd{GWl<3#MX1aw6vLA?sjkg%{Q+(MB0?vY;sG-^<vCQlwa5Wwo(n<0%P
zKMlQKFQqfuTc2h<7z$E6a{di?=J4C*?O%?;5H-6`Tg&U3r{Ds#dwt3Wm2u(}E-^7R
z46YxER5i-dZz#T>$KK~A0(wF<lxpU1>B#?JgD9z#?U31Rk=|fGs*0|d)z6Qt<D-4R
zBapf)4oKS3b}g9=5B*Q!G59B~5FTW2dk!hwZG`pfkDrr3fi6&6@z5Me8-?-Z+2|iP
zMms7Zo}L-S<kmwRo==`UX$6*5mn?!u)c?bazre}7<|}M|p4y5G|A<>AdzBBQUhg_E
z9Q<aG%xhe<P)!!eYRGu7!tqLXS5Gy5yRQ{NSvU`bCXqc-n7!~_$WY$R<<6Zy@uW+d
zRNZ)Se?<e*XwSEA-(G`zKq0O|Dr+C)I=$h?d18b0N<b#a7tM@mdg$u9@4lOxPcg~-
z4Y`~9!fsWU_j#oZ%1ruYIVhgp5+#C$f*^-yU&f$&!C*+z8;rTZy1e@N*+iB$_3!ZH
zC4Xu&GqZeW5_U0j>pG=TFe=M~Y#(hERSMO$nH+<mrf6CT^sN+XTZw-)q068u5{YEO
zt%`*w1(ilRt8ni5q@B=<@i!5u3xr`2^WhPD9I_OfgIlHG8&ukH2@el8%xxXT;{~vo
zl&of8;XhjDyQ<Y~0z7pJl^7W8*tyg9$GhBI<lk1*GGJ+aLRscr3e+;9zU}Wf4ogMQ
zLd2?SVZo4=Jy6nuMJW$Hf6E~SM`XC|KQp*XOH17?_fRN*Wi`9uF@JIEwy&%cnF2z%
z-WM=6YA97zDjTcloCz*d2AV4R)Sos6eIR_Fqrqjd`RVlI-=W(pDc~ZpaLB~BrSU!z
zN6&&beZg5l0KtIPOHn||7KM%kLM%5YrvyeNq3c|QIfs<`u@oEiyfo<H@OVTczFq_;
zhKND!56kT~@2oJf&cLooKC8aKhCRB4Yj2gaGG9jjty)_p?|il+R$sVc5nK$LZH7Br
zex@dAeg(i%$6KrUa1f!wv^Gop2pE<)A{Zs<HDtV@bRZ4gn$p!_SyXGyRb1V7Ru_CE
zzP$W=VjB{v5aXrA+hdVFOI+KUq-_mfaLT8ymVLda<`EV-Jq4K$XRo|?ulhVFDl+Ty
z`?J3!%D{qZ`RN5iqq8)0l7TGuJ*~0Do=xPID8Erjmm=t>C^(MO(nn&NdyCV(VZD8w
zYANnv`v-FxCJ9)urh|~I+NP4Q&UN(Fx?pEbp{l~nQCT@T3f0}eB_ufMX$&Q1ch^GY
zBU7=~B7Avc<EmVrP<b=2Umt`k3+^cwA76>~4c#eTXzjcd2S$IVcYBhsCs6m4pO$Ud
z6L+D?Z8zh&s0Yu?s<SIRIFg09-*_X%0I8r8RvrU3e>k~a;aDDXCy={piAG-3yBO^u
z*leUeyy0P$cv)6P=B#QK@v-t-75?Dt*#;$7-KZUv{u#a=ZZIbfAi7F;ZH{Bv594PM
z0i^>MWFh{%s@FKK+8Xt6C3P<ObUGV@i%mN#$uM?~%Iq0pe`ElI=pzBH(CTK=?Ib0O
zRjVg<B>xhM`O7fHus%^UcZqz2OkU7Fxee&)J*7+mEHR8rsFE=J`YJ@W&M14TRiL>3
zTRc`Ejfez4y)J&SNMHAkEeLKxFP6a*t>0Fh9ArG;18NyoS7n^KcqKM@`A9hvxrNH`
zVSY6&-DEh%Aob)QOZu&%wW8SBmXuFkLw!qRNReAGNQz{$-JUwHzuIlkXK}{pyGV?n
zGVdrm1zq}zn!jQx<Y!vq^{@L?GptHGa5C;l{kBnU5PaD3Ma(-XR8koNK=S>8CTL`)
z?PywtHqMfD^a!5OuS=S=z@qm+K+K1+Hy2f}F)OnmI6DsaocV2}jYZ1d^MHOlzlmf2
zrgV_LuB^z0`TYK+%xjBij0lWt^7~bd*_uO0nDj{(RLnk2%f1-Q6(04hx`eFQsK00_
z2@0l`@HOkKNeF_QiJiJWn=%3#TY=28(QmJMk$vVTv>KyIgCMc>SM@kr%2BAP2!|Sb
zQf2tXoo7@sZH5mTHytIKNu+YZCO__+FMp=V@(tWT;CzQuM(v>GBpQCI<(^_Jo?a#O
zVQj{P4M}>6cu)Q4CA$H;)ojAS@Oo~CiiXxJM+}i<X5&z{QK0sKh1#B5!y?+4UM7rY
z%FbhcAkBlP24acW9@&YizWwSPR*ObU_RVftP2%6twD6$Bpo|?D7+|j3GP8W;%5oqT
z%v-iZtrnk@#%2~!ehBkJI==+mF1ZYgGuG!mi2r;hJXNIS<ht80wd+q^FXmSQrn<28
z3Pehy0~L@vhnU-aSJzTBQ+?eX!4v>MSn2OL-SO<o19x{a$#e)L$<&NC!rJU810KKu
zm{-lTHU-r3x=|sVCh)naU%#x*Fk70SvsZy_UNv+?^m|XnvlO%#x^Upt__r$WMlu)Z
zA)825*GP4Y@@}dPXabprK|*`xfZd}ZaEcN=q+50p_GNNvYHFt}^Wy@8g3K|*0y7~a
zQR-qo%0+T>ARCy%#}YA@`sI+a>Ma5n%DFy7u7JQRMsCY1D0X$LV^v8ZgO2&G^!ivt
z3iIxoi!i~LhE5$ZtCdMHM(GeT7JZDR*Q-lSz!YvKgdEsdg3h-GiD8fE?OV4Ff(L|D
zLI-!r{ct$?+?Tbq4q-VH;2VX(NZS|R2dsx>NY;$>0kaEuzFrp?ZZADS==z}ME5_R6
zMt@dDT?1>Ljl`Q`-@bh-7#S7FX`o+8;u|k-aaS@Jb>=|glJqJ&V^^&!s8BDjOj$pB
z?_aL_19=THnK%Hs`j~r-N@_A24)KH|fSz@FN#xp_GgonLU(o4J!eBNWK<;h>*nrNy
z|G65#6%={|cH!E&GdICobdSRI>(O{r%_o1Ew9<3l)%7CeIl}V74dfK65xmbGe{zmr
z7CwY4a}Ww~h#9f8PT<Sii<cNeqf(L2?s(pGW9n*bg5~I=Cqgad&tb{&`*u3P7LlmV
znAWZhz_n5^v!rXv@(hhYmC6O|5k^v!--tfl-dRA49PWbq|8GimeDXg7447UmEUR`u
T=N7vPIaul`$&<0iHE#Vk3kurP

diff --git a/reference/resistance_predict-4.png b/reference/resistance_predict-4.png
index 295337030d5950756ac5be277f49814c9b7a3eb4..336693585e05258e651c6e43c43eca903b4b0b72 100644
GIT binary patch
literal 72209
zcmdqJ2{cy!+dldzN`+F1RFo(YA_|!rBtx0WOd*k>%(F&CB{C#3lrfn@=1NkA%*jkL
z&-2W=cJ=*z&%4fh)_?uade=JZoM$!g4Ex#pGu-!eUH5hG2MQOYs5dfhB#}te(&x@7
zkw_E{B+}YTl<V+Jb715c{#$oRR_YA?$7B9<t~>tQV0BKznnc>;N&F@A=^i&Ck@k|L
z&zw|o2pwv5bWv7aSsl0c<Mv+@9i2v1I<n5IW6f>KTkLzOw(mTntw8?i@hx`2HQcX`
zzS|oSag_c3&pygH_FF|P5w}=ayjdPTjG$UPpb!|CdA0V}%1U4IY>3VInmbdO$-Q0G
zC0%X5Lai(Fg$|w<6Pn!}V!&|k_nG0Jz{@^16#xA4Vc+{re}CQ~=|TVZ$HQJEp1(g{
z+)k$Z_s10WHF<x3)K?^TAp7(4`<IksYySM`AxYcu&yl@Z{`U^-5hcasc!rmk*XzN9
zYI;2v+WrAj;FG6MFVBQLd&aQyp5i6Vgel&Hy4nGn-GUKU!W_>IH)p9oViYJhV`64z
z?ti_HoTb`lNz|CVR%3aYg^TO_`1m++EVJbN9sL6;9QO?3%$qZbXDW`j@5a$d9vmJd
z9y!Z``55_>m@&O;*WP>+Uv-%tYE<5K@IsxB_{v37i4vI>i!5#KAZ>2-XrY65!o*#F
z-P*)m#k?}M{(LZ>r1<KRbyUJ`JBsDc-8TZBf8%g1=a_z*)|h@JLGjhug+aa5*N=7`
z=Qw(_cGPZr+|euF=BBFOy%Q9A@$CuIT1m;5%=6CW3Nh&mi^bt9QwNQVj1Gy3>CU#=
z>q$7CZp`vpY<H>@oh8@)mOEOY6&2cSk(>DA?dr;Gq3eo0v(OFJh|8i2eXopHdMZNb
z9Y@m|uRZ6zd=F<Uwm5V&Q8!<>V-k}@NlvEwOoYj&GHB?ddv<oVuub0+wKo?d3zxci
zOq(+kxeJ#jIA}kuVO?GL^5ORS44Zx>(U~8YO&imqh3!Y)++M%=Y|enh-4yHI3y&Ch
ze}?X{?EH9F%(brH#<aUMpm%6aLNdd=`54#56bZknfrMlZVPWBjrN|+z;$=%$TuVSe
z0G)zRrP$&%-y0JX6JF<=W96A`2ftS=wYv@`W-aWAYR_{_*LCV=n`8)gnUGFx7;Q33
zuCG_u<C13NGrZqoVK33UmPFb@xh9W22(zAGR2I0<9~;i1Lnpga*d|VBqASF*;DL?p
zma}FJNve}Q6&aT81?SYGOC!ToMV=lw&zI#qGZc>tDIK;eJ3_VdUSvy4%M+&2`QC7z
z3>pbl)gzaVW881AquwaEn%$>W7Q{1qVtAxAcX}|naGlCZOSW~z`=K1$L4Ny@7QV?}
zzkbEZhl};Bboq!UeNWU1dbScBr0d5z++NsD6^ApuvzAPE`=FmJH*cX8{gR^y6DIa*
zSs>RyV|uLo0*)IbDD!cnuIsewq=;qS_~#U69v+^`nk?Iwzr_54gX5`p9g9<ry<ptb
z(xTmJQ+s~GL4@|rb;B2fVh1Q1Dp?dOUmLdNIrhwi3R%~s7@Te#?wn^&Gi%@;Zpx7L
zQ%N^IFSMIRx@KW|&~~b?I%W5^dF+hWrM#y*J(=CAK0n&UCM_>It@8ereNkhUX6Ci4
z1qbEAL>fn3R+oCkD~4;<B(?eZ`Ay9<TZSy2_M}nO)YOc3WOC};H@Q1Rz$~V4WjZ-J
zrf?)@urA`{TIrg;>Q_695kx-TBk_2tw$NLIRK#G7XI!m4i-By2Q+!q4`*^p|O98X*
zp+$^qd{vd0<8||Mnlj8{lM5DPFfGTz7pEKariZiI!^$|;(8;K&1y)kF;`}|Q9W3*w
z1G7b)rc5v><t?)`{A*P!w#kbaSZv<O$J(*fIiwY&edB@9>IklD`T4GfVLP*hseZqx
z9bB4oOQT$6d+b{bR`w3w$hPTyVITO+t~JNjsq4}4^5tmRAPx?W*L4%acDYRMOV_1q
zQZJVr&SqdHky6&J$)jxg_4TRiEp6E#?nnCO9$v-9>2w+aF4Zq3X<t)saTF2~>am+1
zs5eS){Al+kFHa<YVIZMrMaRB1y0geLWRa&}j>TR+LS_LMHPv_}T-vWG%QD$%dVs=z
zReLINJ(I)x7Pr;q*)q98gQ9gthKA?-KKn2;SKT+n=xr8Xs#+4sy;SUVX;u9Sf&v>`
zaf|y*;}zSlY(aCj549}w>s#D<g0Czk?IMvR_EL_qnAE>kRqp-vqGB22bSCAPM6vR#
zv((}7j0KA$xs>16-9J1UAuo74S83&3?k$SvjQl1M-rPCo)O8)Be|B}Tb^Am$XPRqW
z93-inVRjk2nZ4X`d-J+b;#4`4^OPPuc;Gj&ew#ntk(Cnh6$6Xe(RT5UuKHv>z2w4`
zoNRXtEr+OR>%sG;rmuxui`as+UygT`Eb6%BJ5AT68Och|*It}E%CQsaPl4P)ksD!~
zFH1g5q~E?k&uv~3;a0_mNz~upKMD&+$EI2`XS85(s+eAnoIgCdq^lZhMZj+8BDS?I
zPQ~ldBh?!>(wZ{O6HbigDW@A()O>q!LUze-?8|<iXWqO4wu{;+CDysEJ-k?|?!i9x
z{WZldEsLXGoJs5%G$F?=zbng&M&mP_`}Ungn#dVSE91B6Q{d7_J98nncGT?0E2+(s
z?<n-j5jMpT;zh^auQhGU%l`TEXWhH&ms=fsUub5Sswzx=9cfIL!d6w4k@0ey&20~E
zNOWDCaT@!uKEq-BQem?qd$WR|fO%70i`ey_XMB6Tb7veK9eeoMgLIwZG4OQTw!JzZ
zaxB0hR6);Yztm%spPwG&^gK7)&di+r>z844RFp|id9bi`kDP>&^v&tiH6PvvP0Xb0
z4+KAb`l{HQ-mI@GGH2}LCOUfh*r+I0B6nfsy+n%aP#3Dn9`s(}7|nhmc>SYDIKtO+
zpDV`3I~JX`Km5p<e6=<vxcPF)<A4g|r$wDrUwrphlx*@z;W;n8Y%~6|nDN-PXN<=!
z-e5umEZej<i_Jx>EVi%i(E7$xxb!kM%t=OF&o#reE-n)1IX&1QFB^Dx!+`DK%E7K1
z*>$f~IVbbZ`Y`GAjAIBba{3P(m2WR_^<FMyloR(WofT*KaXHYlu;k6T<%LoA)!gjX
z46_E0NzWWhx)O`5!D=by0M<RCPAbh=mOQ-X#>O!{mEk;xR)y)w@2wSZnX}TdtylG%
zkQ!`r9?kEu#u|#QTz!fi{d|&Uu`E|)!~s#*z<{*c{zfC6O8Oq_E2Ip!?*5u+@8DQW
zmr;y3l3;b@>GenDrQNY(_%kh9HH{r}?S}an1x!_p9Vy(I-R2BZyB{(Nl**->*1t~K
zO~mL?7q<L$n8D9^j*}1XQSS;278et1yO`&2J-DIj2-Pd(ALD{Vtt`fp$9s-)XaDk3
zDl0@_cvKrJzo@!`?E2`!3*mX!5$>RbPid!G@2#PgWA1OsP7m%y%Hx`F=`<^}A8p&J
z*N*j{bZ$jKZ?jLyWs%jT$>>0%tma3U@m-CLjbc8|B4Jz0rn7u@o}F)!bzIcgJIzm3
zgwse>Ow`Qa^RaHwvELaS9BdRwKT^POUm>&^+i|UvXiaTxna(J2GXB}_t8SCo$fk>L
zFUQvQs|VlJ3tGFLhM_my-7UVC&uz&eUH(^3598^3REGqxriULrd`MMTd31Yn<;wCR
zb#ALgj85h?jrfvK{;Ph$nYb*r@5ig$wtKD8t}q?-?_c6dcsVur^q~CnZYe3LpoK7<
zP^&4fqOs-nrb2i3q9at7u^xIZzdHMfgLia2vx|O=R_dj@fT_H$3sWrJ^F@o#{2m5y
zsx$7~x$`V8s=OrT!ixcW$F^e@Ehd50SS}HzK%MN=`yFWcV{79Ph?-hv3+VC%+uaru
zx!-lHNz^MWC{NqGM>vWz>D?);5u*oJYierha%|0rOuZ@-RFo~IdwmDDcHD`PcSv-5
zIF1raO-V_~MeY7f$v}NVeV(KB@Q>72bv6hZY6!1oyN%u&S1`VCUzyj;wKJEPX1@^E
ztnd!`eSXTf9mp&?MlbVPFn3Ph%dL8Pud2>vTWR|c31QPm|4&`x>}+h3M~%zbC*R%N
zXym*h>tMKx(xF3#+#UtGkLJ(X^hXD+<6jV}bLHLADVAk55hgzQ)0^iz1--WZh@Mk_
zbkDg<J|(X(DC@LWUaKb9j2F`nc6_)U9TS2%Xmc9m%5Jq-?%eENCB8aesZ?wEBjsei
z^XyClO{9}6F(TnwGs;RzHUI^e${OEZeOhVWPi!4*;!br}*~`&l%o}}&8pK!TUS+!$
zQ6DE4QI&bO7?^eT5o7;E8BY*vMW~Q6R_+fQU@AXWNhzrWWXEo?9$B7z!;#GlM<lY^
zoDzg|P7i)hoJJ@nSDir!zh;q)Z2##u65T<jOFlea!aO_w^Loi1d;e!MIQ@aT_@}{Q
zyu6CmJ>}KD`=$JYf)3&`%gg0lm!}&{TXQmklbvTr*xDY?f850LZ1R2m8x3Xa-f#8T
zP5~hyoIWM{@%EviYkS08F6z0A-(|wiRZZ3v?VIEp9p6pkNmca3fFWlvDYv{tJz3XW
zY-CxziR%HER%RWdM=VCDwBM!_lf%O!e^5TG&Wnz-F6R8Mqr+pJMHP-+OXFijn>qLI
zKaFku9cv;WEX*RX(0SH^nvwsDTrQAr;>FaLpVDR!dw=byDq(V#J7G7ZU}u+!$OrQ9
zEle~)&wW`H6C8#ZtaeSK)8urgA;Vc;t+2(Zer40J4ciW|A3v^6uj>%0mZTjImhh!(
z{F(X36B4^04~~C57;f?{RH(--<e2#ss0%wMXW6y(UB|8|AX>40&AWR{<y5uqsm4l~
z^h?DXMQ2;Ad)$idQ4=sey%0Ot6rm_*d8WC7e{psc*Pp+n>%s2t%B$2H7#ey_cd)C(
zC&Y(%{zt<r<BI3qNrm>U_{iX7XoYcY(Pr^$BlP5+YsULt`EYP@%I-N~R|lk3vC?TH
zJdLyITbisqUMq(D$jE!?4srT(a}N2F-%bc$|9J;jk3R%o!&HUz7p^P}^7W=~wr$>Z
zMBl@4@m*PW&7<RO7Y${CrlxFcN84Ik!o^&3Di>u^PR)yd<Y1{!X1m(;`B9JEhee0I
zA6v6F?mBJ}8nt9M4{ku`xKb5)x+%@bo3(#saa3JSPA=O=2sqKYpan;>J}E4%nP&K)
z^5@5!ajFS{l|L;#H#2kVNrDh<JaK&OT?2}h7Pm0)%WLfgt?#-6wOlMN<Fq6mbUTSK
zy+U3zMnum4{-v~(gEzl<_}Drs2K^XjVH=aw{^!TcO=B7Xm-G*6-51Z&xHsWIfY`Ey
zg~8<IZ?jnQ3})Zo9Gc9O$!a!lv2D-+4w=a+40ztQIHM^2Ie)gz>|N`~*4oXx1*_zm
zbL~ej)jHrifdh<lK7BgV<-WS8*LYCl6tPflPQ>~MzPQj;!tBm(kvD!e+^p&CRptFW
zJjv%4J~k9!-l8uk8ZdNbGlAKieIaaH&X0gn{5>l|WOPP#Og-!n<Ecj7jpVhJOO8BW
zDk=p0o<6OxQP;6mjc;%Vv=D2!IzQ3P7DFwiM|DQ9l8cM0LXMu9S#Km~$CZX89kFR4
z;4WW&@TYNUYXlCyGOneZhr5N+KFzod{YYhTeRcBoy3b#q9`rsxI_~hWE#Eoh>L}Ri
z)<N2&hJyzWmY4uBr)GUZz6kGsmSaDv+q1gYeL*p9F;6wd<o=mL?v7=5eXtp_Zff;*
zzK1_!O^#3%os*Y8&O8bh?dyUJax8o{>=yfvLyQ}j5QZcd#vblGx`sP8B_X+>>G0@e
zr8tkhBT_*d<=Dqx%Vb)m;o%jF$zz^6qY?@h78Vb>SFlFKjKYMhW6E<35vj|$p1pXX
z!}@48sO4wa<~!ngHK!c&^w;Ly{PN|?5g)}uw`HYTC--@|3m3SjiM;wF-`PI+W<CPO
zTvQ{_Y*p{pq+{FT^cU|Jbslk>?+&_DHdQdQ5~d}XR08F~Kun!T!oA+M!Y{-ow+7bH
zZ1k@$A!gwY=lfizY18l=CZQWq<u{zC2aIAyv5Ft`f2^ioOZ(0G1U*?BX1Yb>EcUjH
zT*DiUqeolIcnY<Rv)htomlvkXmS|(fTyha$IR*0V7n6Zy@ZtFde|~1mPDlIY;De3f
zZrcaMECWcEtP8d`!A{rj(WfFt)^BazJ%c$ac0t<#|M_<%UA*E!0PyX-i~+~rn=#z0
z24o9wcptu+Zq(miSg6rPNDd<t7}q>r$+a@SZe+WxY{cS=FIb+@;?jKkr8hJEW6!r2
zW){db?rON=QV~0C?a;Fi84O0~TW<9Z-`izzBny$xw$Rd<<~vfYV||?B>5At9PyGuw
z+FrQuSZ^MYM15fJkTf)sna0ZU^22^Tt@iB#S<X{^okz{jM0~8jSDNrfj71vCO+A4-
zH}T}9luz8-%skSNeYeXgZ*^r+%qURcg*3#QFvp%?KA*v4h0Gu;r0cM3QHL>oTw-Cl
zNLv;s{%;GdP34aq@V+Ui-n)YaDDF9;O}4mk`LnIHPVKs4S8Jj?+A5h{rxYb6B?F#+
zc4oW@;*kJk5FIn?=6+6AmXlBN)J>}bvEqu7#m~De=gM;zp&@u0GE#rlbQSYwsZQSH
zki757lP4Ya1=jUhUXxX)HwQOE)Oe7+46$I~(}Qh(6RTG!gu|__f}pAxE`;6cXDNN9
zoA1<PCvB|*)JpD6;<=T1rIHC`B&wW3qG0alChJ`6bGM*T(RP#T-o7H!b;><6&v-A_
z0iEOn{5RqMi)*NQ7aXF$e*IdF{Kaov&R{#zq5*=cjFGu?>5|Ke-DsP6&$vC4rh89!
zdh@W%g$pzB@&*a&$;Yxr3s>C=AM5y8Wkgz?lao`y#-E<5l{bTAv4GfGA>pjygc(uK
zvC`f=O7Xb#Ip;f%!s%%#_Ga04$co=u3WhVAmr84iCA6HjqtEYD1O3|TN#D43WBpzE
z_LN)tc)N@BgR4kDmKMw>?Bu{TCl>`*^0+Cy&r8p5dJ;(I;^pl<*~rts{*_gs*xlZ)
z=@D<9{3)e#w^P&xCL^~$aMO98>+VlyIAfQzpmseecSKk<LG8TKiY6t6@wd>c7S5H&
zb##%v4`=2DAH8B)8*{#!<HWIJ-&<y`+=M9WA+e=HGL-=2EZ*(!w7G{{bJgX==A(i~
zFn{W%rl#>mjywa`0eaXW1QE)ix3@A@^QFs|E5t`TqGs1f0|Ij@jTi;##L#i75${rR
zdp{2>(;(2G{p!vga<&5p1~6C+&jrk6c2m>cw|33@$#5@HBi%S2yMvH^V$O%e0JjeO
zNWENIQNd+<=BkB7l3vM}y^7B)W#-5IHdIAp8i~!$(|!7P5~u^DuDgCZLiIw#QHcO)
zSlv4zsT_z<lmuUy;?#*t_B3D+Bhwp|d?_=T+rIoQ*~Vytt@DP1MMtK9L>pRWk2_dq
zH4~D-v&EISB??o;5}{?*n>>FLKT+qI!?uRb2r2bQWY()04Z6gPJbX5*d;jYR1$Cz0
zf$3mGOwG3@os&P1rQ;yavU)THev@$(tNUhKIMd^L<*c+g%l2OF>BOIBBqgub#VPtl
z5l9CaO%2<d0Ho6MWRvTt8T|(tD5#36poLhh(>q~15Cxd`yb_FcZdv2CVB5`wTM+^f
zGUA9y^3q}x<lvA&NcfKJLco~Gab$wUH+(~h`V>QJkmpKEOO>Dzg<goopBvWJf2Qb5
zhu>LYo6$C%t5>gTrs&^vnjINdCdkepPG13QS~d2<9z-toj=?ScU34>b%JPQ<1TwVs
zj+AcoYTmuceJ58XSAM6(=?@$2*oJH7($_c$CP{TRB#fDS^mFhz%i%*r7EbL3FvPhR
zvw4%>j%MXc6$P;RXYF3>(hk##i;j&o19k3kJ1G&z-<B0zIQ?DA&Bu>w%63EjphJ>w
zcw8KNxYk#;t3Of<_L=(-E88w<F@pfu!Od5`g^qJpW)Eqx?F9ACULMIE9YAh7zPecq
zYHT-0bMxY8VKTtKj2|$q*vj1H^Dl(!LpOGVxr^Q2y=J=EvM{)LMJ^d)JRy}*$^g?%
zy<fZe*`j^Rb*WUcx7Op52aX+6Tf2^`%8yMJ5#462<0O|(j>>GCb25$@wZy}o)pEmo
z1p>3yhy#V&^0fLNJPGELajlULv`OzuWmrJ-a9~N-_|EfA$bFteb2r(Sa;_K}-g)!p
zHTUj@S60EGsBYbx>NitIUgPOhdzW;R{Ag`WP5E$IkKki+&Ty?x<~nF}%7&%SKe_|2
z`UJN@wS$1wo6|%lq@G-fDBp3E?hb1!<l}uWj@HSz7VwQT1-lOY;4Pd`xl>?UElD5z
zp+88^O#{*qe>kUk&V7m9;%?dm44Z9toz;0^-{uIJXgYhHa*SNHy!i6=I^Miq37Yyn
zN08Ad2*C`gQ^1lJi_w2&+{b;p^yTzMm!8$;Z0jqjSs6joz4_<lt`6DdLI;UMc)kh<
zUi$6Z_qurHie6@Dp@mY3DsQ_8q}wwCjWH7HW?xT;B|+9A0D&8aXIS)}Z)O(T?RR;7
zsd4&zdHoy`xqreN>&AN=L?8{R=&|;GTWB2zFu-cqyZ!adR*PdH6}@(|*qd_!m0ja=
zExMzken~G=CbC5#0f;R!`NV$l7r48+v65M@x_$q*;=%OmU1!5-y(qkkvbDK^phXR9
zH*3UKsvl_3wtkeojP<h^5X&;f1yK<!<6P+~uRgeeUsUc$4kxQPJCty7TzyYm2Sn+`
z@}lMfS7#((*B&>J^V<WPw6ZJ&vNp-z#*$LdC3m2G3pEI34~UUJ9~|`BGjET8`K%dx
zep)DA>t<h{$)i0d)Br96<}W(Zf2EurUwWZcx!836*^$U{-_Th3@R^+%wn?_bP4z8d
zN3UGSF7-0p_4@wD>!QMTLnanHdIc@XB9Xht8A@lALKP|u4t4V^D0d)n&Tz_iN)9i*
z=$+F}|Cv49malcfe&n#d5OC0B_T3zojlF{)k2?viyk`ZPeG+Elnf3BYulQ;;qV3wm
z8xKCV_A2_@do+Yso}!Dlq-Ho0@#Qi^E&c4$!$+=s+ie|LjWSb3xOm~0D{r8RO8%BS
z-L((xp5vBva>}X9D|txNwj$4Z(0B7efwJCiiRfMV`ZL8wwO@e~YoA7HQVVZEHawQK
zoX^D@TEclT?)=2+F|ASG_bcV~5P^~xR4v}MU`hAP6s|5?hSM6}d`)Q{$FiYhnt|Ws
zN%k_hexT5mRIs92d2yYQt{s#{&WE<hiBEdYen~<GtxaZD3UeAbWSy&%Yv;!E)+R|~
zye04U?fL|Db(~B4{>B#<Vqd;`Rk4JGz9N+99Px2_0nB20xLLiwzu#}dvIx&F5}G5h
zR86S$5_nWS;6kZ0qu<BcUPa;2;>rSGY(Dq7*XLY0g@iP8a%^~KL1yCZhMNKs<PNP~
zh^5_s_8B74Y5{5lUQyoO-nAd^ZmL+04R_N7!Aoc_8K?0_nWV9|2|Ml18Zupf*$mTq
zm!7+>OXDTp<oCc|F1L9({`|B7=hZMukxauRa&c%4BNTO~iLVEj7jA^Sc#(+Y{HbMg
z&rGKRbF%c)13fd)#5>gY<lX*^dYy6nRX}XInhvcaN$-Ac3>UT^{C*z#&BoVntlsY9
z+*C6C4pg%upgKJ*4Z3a>OIG8KBUGme4HG&Q-LIY7>9E4~K6C5w!SC_-+vBFenNWy0
zD0Y)<)I&@1a)veZV-UUPzwx2RnuDpSsf<AF+2TNnPae<EWLV{k5!_^SU7S`{QYGbQ
zU|F+~mTcpu0@uZRhEdjn3nDT>P_*&9Z0V|E!P~2$9GBWP^PMtwN?eea=b60}%j6>k
zvevVjBj&o$7pP@%h}SiUTgL{<$g@Rc=1GmIxBPAP%??2zty?%CoLj`l$M<-;LGB_l
zqKIXB;}q&(&zV1|gLos)ntXn^vnkg;xiY90rK3H<Hs`|K7UF^3A~$irlUQA7DD)B?
zv91)2g=R~=TTp>hJ*m#JaM}3V1GTYEcc4Y09(W;KjO&p2Uf1b*_4T%4ks@KU=6-~z
zoN3<NV?C&QeI3ni6AO71KQDiNSbcNt`f{EF+(EL?JgQO*is~SzM114*zjiF7lIxR{
z50fesK7MH5KwJ&IF4i}0ytQl>bDgS|D*k3ppLEPnweuYls=h!?f!X5jD=s?D!x;dy
z=^A0!2Y`?DP<2_BMYa<G^3RkZ%!CW2HY94rLU&Rju#u3`kFIf((YAa-gQ)x{iaMAw
zek;@Qv`THtCJ^csn;ED%Yq|Fe2-LTTIZef_Oop%CiL&V2^0?s&z+%r*j2}^Nn0x3J
zG$A!d?+;;Vm*2cYQFX6kCMvnX%><+8)lu!!O3t5oe$2A%@S)Ymo884Y%byF#BHH+~
zF3%RO)}vVRvmrHaaTo<+&%LIoiYcsHJGTm5#poO#>rPNeD)v#NHx|Y#CjWQ=^m|aM
z&4Hfc9o3j(aGQ3|9`l&V*<`on1<BGI!Y{~z_J6&YW+<IH%`9N*A8d>~X&|l(d5MsE
zS^81EB0h0ON@^D_bmr^Rpr9+-Af;~1i}LOZPYGIQ?T*1<D{w>95U4eWp7zP6ZJ;69
zvPTFi?}L66i_<-lL&~~2GT$g<M(X>=`uMXxGt=8!*HF|o&VZ`uL~iJnaM$lw+PlX6
zFE*qtT)YV+q`v@s19r@C!tR>H^tGypo4$d8YNo-RL*6$jOR}S*ql5dqy1Gs)Rccve
z7avXsg*zE!4aqX3J1Qn-hoe|kgAuO9cp>t%XCQ$97PTwiym_Nk>p3tjWZm;n5&G)U
zR&adHpS*}`)sQ`o4)6C7QM%M50sUYhudsy5NZ7sXHT!bY5vndsuW>e3JUee|_JG#C
z&c(tE_tlk?%n9$O`fJM$TVe>r%u&-eatkVSnZFU9N8ovZWz_u2-x6|&L@$zD2hZ6t
z7S^+mcOUXB+IMJmW+bcKE%)4W1iyaJbQx*s@!S@uxn>ZhB$<33J*o$?h=LrxsCofw
zF5^abX@peJ-313+SFIGYtIDtIqxJEdd=zd7?j{m|4e(Ns;}X;oGi+44OOLadM4e1#
zM_R?KS1CCC&Exner>9d;#Xn)66y`GVm9H#V+}-UQy*9^|(wVJt;+sAJeq`u>SX0>Z
ziAm5Z;<xtDYxm~<8!HP0c(K|}|0_<Eqj~99DwD=0T|9qI^HQBgAUQfJ*bn|u$u)hq
z`19w5@{$wgO>dtZe#=lQ=94C1QuRKs><ZpioU~1$aWSxYSPe2<`7*Zl01(a03HQn{
zQP-FoeeH$r50n|D3pTN=3|qQyO36fkU)lHG`w2?C_bNk^eZ&?_Qkj2No){GY%svOb
z?K_kjeya`%0n@s3G@hq1EXtsMwm@iCKir}~S?i&3WmqC&Q^b$UnWptJ%<fC6kD0}j
zfZn9A?vyajD0|SM7?zNfBZK-F3QGw#OLN!5A^y@1fF-tSA;#4EA5yN1mZcAOq?7e~
z_ACyEQRGy6Qx$RY_MiH=U46W=6p9%2fM9QmJU0(ky02LK(nai#2N@zLZiefko#^sZ
z?LbpTf+==-Zfg>#|KRI{q#7)&=@09f`>+(0Ra8_S7~M^yR$Uiaz+{)JL-<56OjEy}
z%D;wu=k@rp8uX2NR1fo!MgeM`At-OpJhtQS^m&l2wE<2ctP+5#YPh^^D?y@Q4?Dzp
zI3(W8jI<^oO%Ve|*`HdJ_%gitrKEScd2TC{f=5gWVnT4UMb-({n`Ks<qk~6n2UHL{
zH2qWvW^*wmqFk&sN_ravM(5uM&UR^T{6@Ge`=Ur`Prlu$>*8P3X9@)HA?uv`s9*Lc
zX0>g6_YfD>tZg`loX&IIoV@5r`Jhhhg%=xn@9rRx;zF<8Q@p9Zjqv(xQ6fMkLf;#d
z!}_tS0I(m~1aL&-<ohA7L)Pi*1n}P3$w)@>DD|Qx%t8`$N+}94wf%J{@oedAQqiSQ
z-YIbHheB4Xoz@*Q=p7tKf18RV=xU(3TkG89z5Mx0_YKK+X9FrxUwez<xO5GwyhU{^
zh?j5vSdCQ6cUk7`^DK&d`<5RyiK8|3@hYH~NI$I7sP8LhS+uff??>!y<X!)-k7@t^
zuww~VM?C)Ltx$iC`(F?Il0}E?Oki2JUxl%^jQ~m7uc-4$NtdqygKyHtE!#sX4&;ii
zW+@jP`8Do<OW*52<9XYTs?1t&x1WRjz3K6=houo6q8fhi(vX|2@t6N#UtpDYP)d@5
z{x#cst>W&U9*z?yPSn(sSfwE$f#?L*_CK^y^@tGMO#@*=rqtcN;>(x&R*yV7*x1;<
z_S>Kqz*(b8cI#4BbAZ1;t8{5uSuKQ@-`@@Bd?Q<1*m>q!RKgl^F2G17H>+7J7}_N2
zEqRbiKs%<Urk(_90UJcD&6BJCd&Q*xcP(iD-MIgcc-#JSU`5{~i8zQtgecLV=Uxv*
zXbPeTQCJ}qPQ8^0`odB{*M+x4Q4%HK3)qNC-aEL!YmWD$x)4;<N$IGY)tpF}(-7el
zpn|~872!OREwy382DTVx03bMe;*r)CY%i#4fEL(|w8SG$vBT;BaXJ;IgZ*mZAir0k
zh?JI>tH7cG!v%dnW740~^r%sJP8x-yOyK&@Pb{c3GZjvZ{zyHII?=3jA>yQYdw~v$
z{ndam5kG$Xc+xFEb(+x9h(cF?Z7e4@_XQ-N@Aql<^F!0PwAOdij>A>Rc>&L#4>Sm=
zs;;NmT}9+E7$l60ji39VJUkc^Vo`J1M>GaX*^BgrH(FU2p#J#*{`J<L-MVcXa@1bY
zrLiIz85!X#(?l>rWa(DC8e?K5xEp%fE2Ps`fW&4W?`&}E#Y(NZvtb*y0>A!ylIvWj
zrzR@nZ4O=30#|F!Kv}Or8rWTv2M$>`Gu%84tIKO3G%qi&8iWvkun%OixN{4*Vlz}G
z2t&XbsYo>&$f3%pjKK~e65f%-3dRjQCwIKX>NX_ELq$hEYSLqB2qJ`JT8sSQz4XIs
zpzcsU$Ov(g$IP3yf6w_d$`LnS^OLm^-WntUWuSf)6f9A+Y#q%bAUn!t!jQ=b4IWAJ
zX@#*e4vDj8g|iEFZC#wkCXF_H{W(9FG_Hy50H-@}{&^qZ(u6eB{2005m-syneuSIa
zfgDDF_BqH30jPVJ3Zq&|_%{Ij?Jf>ZW)&`<Cot``V_Nb37eWOi$=0sxgA0Jh%=OQy
zD$HX+Sf(JrA{DVp!z6Hc!UYGkovb)6>-RlLXIEMtBsaf_+c|9m-xCwC*ycns-IkqD
zIX{i7<2-utqAF&3;O2U!F=rVXX(xyWZ((ytsk?$`ZEV#L?)y<gLqq2LdFr^8Ki?@4
zuz4&@%vBSl&@T!qM&S>BSQUa;&3~lqGj!axZ5vy+{H~5+2!uV>e!pyl1zZ<w2onk+
zjShysehCdD>zsbxVTk-r-2v(!mBL}Tk@j2jeBDoQ@8m!pJ*L2ge`mt`4Ml=Jt2s<X
zyJ@6SufiR*SGoyRpDz=HFN82e5k*Wacm*Z56ng+RKtbNx{P~^`V$s0#Mb{S}{Fq6U
zBdb|w$hx|^8c2X9XUOXk@aD<h5R@5)W~!FIU&mqqNav2rgE3AW63b~ddd{@wVYZor
z5ich#a*u^P%A_iLwWp{wZ`9=#*DJn=J+Js8xr$0Rid|NTveWKfn@8~Y6`n0xp-^I^
zm9V|BQs&nL9vmfvX)NM?80i`ah6go+5T^*gE7ClNbW{2jAEG=9=WNUu6`Gsp&Yvd=
z=-#d)k)BL75PkO8G}0Br6Lq`Pe&UxjoCLs32Mui-Q!h(ZDRT`qWt3eZw^t>?g-1`-
zI*!-Ro;|yfZ@-rABxLe=jddw$adB}Rt2;M+@3j)#zH8U6ep6C+kCmW<{MqO&19sYT
z+^Z5Q^CZg;#hk;;(e`KBP~u+f{%V%q$nQ8|SP^nu9>Ubq+I|(_a`36cSoX5u$8Z`b
z5s(p+DC0-NEcOOyMGLZ&>I-4px@0|ZXkITI9ob%pIv?xHgH_};Ui&ft6Xi~uwu#X7
zf2R0#7zcC5Bd^jzatiDI9VO0AYe%)_%bu#2GPepCe%V63lP~IA0USd8urfM<p|EwY
zw^vqH7JwxT($&d>7ecG>N(PED(J?WBH}2I0sO!c<w540r#&GzDglL(%amJxW^Wc?#
znV-M^_8K#Vu<G{#-P4q6a&ixmbRQ^tk?3Aj7$1$zA9oNzvh*fWDI64KUE^b6RAm!x
z^2exNX}`MUanAek<3IxjmrRdnx|Y_@&U|l@SPBlRW8_Yqx)rtLXe#UX;syA5#Goik
zmWZP)p?g(?iE07Ws)K{DNy84Ogtx-QVwm2jl4YTT%R2+pNtJn4tJ*-y7-9Qm6AKCs
zzIs8xzzB?~>K4VOHQ(%u>D0dr+j&kgE{)h1!Y1N(AxvbaRU5dEs#nAQi~kiCIJ8^z
z+{pI#^`!;a`yeYLqXfY}EiDa}+`a4o#?sQ#eiQT!iKXGG`mTTQK+E`gS=kF00{z9e
z+?qAKsDX2&Dx!2ekpy~O<#;+P&0mu4VWtQ{N%yO`Ee;=-R>Gy63e4gMKUYSesL!>x
zl%9X(k#(){rCCz;=PSbZ0=cwgO2a2JUgyH#P<geW25_a-uGyTd7Zt9arLsTM?;-x$
z#Ul$B(qq1cFaaE^fF{ExjX*GZIxveBE2bXmQUokgA<DwrThjFAzOUZ;vVvT;%#q7C
z2zv??6k3HaZ=QmSfbBH0u7ty6vH{L9W-*ZnW)Mf>;ekb#(Rgj3Hr9ug&e_`?6g`kz
zheJ9CPFY-rAVd-fM&F5A3bJd64?Vf>ru8>ASp>g9DJ$4Wor0Jo7>Nheo3L@^3AN^9
z=0{h|L>m-sA~z&Y0W{=?xh?dk)cy6@2dE=b$|#{`joBuwNsutxck?<!UK1Vvw2gpe
z5cv`bFD<{N0bDbxh#4p?h=rHzq45L>h(@8M^a$1Dc)0tD2Hc@4zbbF0q3AL_+Fn>^
zL)bl#3z7g-?q!G(_@A(rTXQ`6`D54)ZtznuTW``zfw7Z#1O!!#J!a5+R@*-nEMJce
z{y|~1xPr*dgzWZpHGFkRN?v6AOsdgwi<XN}<`tm~dbt*eIBwbv?+(N*r=ipmuRX)L
z(1_p>m6>gKFN9|{8aV$Elc*-vcP%!eELSc+%xyiVtOCA5l$t^j&J5=vBP*+nMFl(i
z4MOomfS3p_6KsJC2jM=cyDZ2IS(89KSWC9U84Uy9wJeP^*YRLw1FIhPe)AzMk6xqf
z>sJF`fs2|L_RtFl|2}CAI13Nv9W!!rAIa|uJGaYS?z79ag>#9rVI8HeAiV}Br`tt8
z8M=-=f>!#${Y<DKqyC!xqZfv=w^p5}h@6e;qzbSc6f%3l{eJM=?g3Qf`+TLC6jfCG
zk+GF7ja^4la9SMBA`JBeXGPXmMj5A+4$26b?!|5RyN66y<p8;Zfi3jFU=+-ZBs}N?
zDDb2pp77n$akripPoDCiSChgE8}Pz9yr7}-iNs_5Khdc1XR7}zJNchQ$^Q>qOE@@c
z=p+mqhwZSPxIks(kcWMf)@<R=U0!uNZY#Juukd3Hbjg=5Uz(Jp91f{4wwMg2SG$tl
zICt%)Op$SVb)dmj#IAb=ck=c)yW4FLOg3OROF6j4`+BxEdEKAu_MqgDfB2X-PgNWH
z2zJW-I@A)s={EolY-DG1I3yHMN;7Rp;ySdtEU<t7{*MA{Zb1iTg=mXOJf}`U>D6kX
ze(BOnl-uMWiwD#v>1ZJ~U_}#L?k#ZNIq<YB$gq1ln@ArL;9f$YoS)4{SqWu5rrYln
zeHreZ47p?En5EN%{18E1``AGBZZo&}&H%Duh5!oue^S!4<Zv3%okTqT|H!N2;?Ai@
zyo9U|UtA63$r!{c_~!c3%D9OwQ<rJ3)p#vaX%bqN<|caXIzU3g`Wr9ly(6bTCd3Bb
z!m>`Q?I9(@c7rG}eMcR{KOi8QW{+@RnDdC@sZ*yO^h-Tth(wMth1029?8=|9Bz-^Y
zp-vz#D0I?*xJA9=2%)9`x&u{_w~<*6=H}0lRT6sm+;~^_xI=kKre%8);H%kJKQ^b%
zyYxUugHKD2P>Ig}dWy*NCPqFy32=_c;``4&tU^}@?B9C71pnntjJMMNPNlxBT=m|5
z!ZK|)^dpkU6UdIW@R0(W@3@LkYufTI^?R~ja<+Bvj*#Q9Ep9s?2c@7I($f_BKTJ`d
zCi)-hpc5gS%Ayc-!`J11g9)X6(EB?Ms`7t9x}NKF0Bb+ga}`8k2wH}49ekjm@53|x
z@DKuCU|>~QSHX+`kQ0#$`jLUu5c>&)Qt0M-{yD!i<iWv)<OUE|mkIO6G)X_gXg`?>
z7z^6->5V*D(Gh;5((MF;gN{u-&Gz>!^c7Xb-si%O`5P|yhlXnZnukks5bnJIR#$Xb
zh*d&vz~D&xp>T2WS{qu0H2mJ$4QqxI!I`yty={JdqLw;9-k9Sx#M`FS%bu7;^&ai_
zf4}1OV`O$wuyWRTU=_9)l<y;1ui{!ICwhMUI_HP3v879sm}Ff)Laz!hA^3?jcTidH
zIJnTWN@+jnUywiGMG{YE`g_p5sb8KGN~5$eTuKkF0@@yyUVv|-chcbldkg9_Lc1Sd
znmlGwB~i2bXghZmT+6O#D-gEo@ZioHJ0(5;p{+I7o)euRa<for(aIuY-)gJAH@18K
z!Gluw47M+7>*_MSx~14zb-+Ni&Afq#Z;FSi{@X}_A#8@eE?twPlWPN#5?-C|NAO@!
zM75e#3a3p`v9YoXg?lZoqXU9f8WxNjxvj=~=ZL)qkTwNrVlcZmOc`Le&9Qe+@uyFH
zNUi~_!|0A6YD`BfMU)LWJSAFy&DhqZ5cPASwtq5+`i>^@yb5%nbLwl^voPBP>p<`>
zjYi&ojlz3W0-3*-jSc_k*Ax*bevlp|a~LJE!GqhLDjvF%vxmN*Oni%~o7X*zna=fM
zI=?6YIkVN3Wj?CYNUsE>2j48OP6ihgbKJ!3a_!o+2i?v-L(>i-J(*aa=<}(^=z==R
z5&mT?3jY6|f0S-MA`ZI(Bb4`*saWx=#a?u5kIVl8F@<^6dD=WBH+_4!B!zGMx{oSC
z|D-nIh<n5sP4r59Nsd-joDWLYXKMTTuGPZ2*<$ulY{{ojCSRWHL!a9@Ul#}rwbier
zrcnr%Dcw906BA>K{*LEI3~mv;9Iu!`i3d&QnqES^Ozmf12t)?@4ccpcx6;wE`IK}`
zUZ&J%gNb0tpz;V+_$rx4{n&5iZ&Db;Cybg#(Gkdj(S#iMvg3pvas;^pTX9JVidz~B
za7kiIax7yqG4MG#HvKPQDQOKA&(at6TmyN@FY1+)PvAv60Nbdg<7s|9{ai!k!AGBq
zI%mR>M+oM!exRVyQ25Ze^2Ink-l8>!=-`9HE|Tb7{8G2IO&3Lrt>I<m<^1%|*Rl}e
zARZ`l{njx(iwp{wdm%>t-{wugvZ$pK<8Wha`^`M$<or=5g!Ho?%)<mw&TnGW;s6a9
zr|h|NaDDgGB}OWt5eiIeeLxUtbQR>Z4)Xjomc<uq!s#BhbhkQ>t~}#9QB|0?%?FXN
zL}y9$0%5cTn@oa@2&tU@Cd8ILc>bn>-)Dm=`b8n##K9Wq7PR@#j*hqyH(@;%Sd4U%
zUMcpJl_+G2RU)}JYcIVSTXT&9jSKA33(KSKqYdMb6<(vk<Rm1f<FPjI<p!wOO!VBk
z8#mYew;ea`IptVjClZqyG(NbnA|dC@i2$tBp?gxg20_*9R|O0yHPNzc(rEY42`+)?
z`dq{@jj#zrqiS)<+k0PI@QIdHnIS5LOXB<fMxKCmWV+I5tZ5+3?7qHO6NU`;5R{{j
zw>g|9T<X9`2!OpuMNi#C!QrcM`c)J)o{PH|2sO<>aUr%7Jo>RjX%3nTPdd~8idOg$
zoeDv{Q-6dz(#7r8V;t_RLvOFvdbx7LNyn2nb_*w?J~W9{=7c`C=}+6_O;(oXi7&03
zB&=W%2i1)C5CXv6P4ok)B}{PVY5VpPEZww@ozUUH#FaEPpSQU!niKFkG;a5w>y@a#
zbTrTNj+!FW1g*?#)dW<4#3l`CDQBuimWVenq^P34Zxo0MW(<yRiZmeXI1xn*JB%?2
zV2H)s1w9o=*%M#(6Os=KPF{Ns9VSeHwb&$yP;Utv0jjFuh+C?coZJnKjR{G;Z%Klk
z?cl+|p~m!o7kMOH-qHkP=Hui0t(b!@<JBI21&@00Dk$vIrQsWgvA1ZGXt(6y-Ow5d
ziGxtw)s6^OV2wdR{cq%SY6APl<&iri2(HPCI|oPf0Oi<AJ~VkJ?0@fFdWXcru@)~J
z=D6e$B=rB~ddUBhanRBAZ`_*(0~gG%EIQQhx6{!{0y2Xhgqs62mm8;l?X*HR)Ihjw
z=@H#Y@BovNIR0zLcA4)CG|p-Uay!-bIA1)MJhb5m)&4uSH;Z8$MIe#NVf?$Y0#w5o
z_Uy-42bD!b@;;lx=)rmjjVy?0rC+~3_**|Alq^4pL<!~P<&+JSl)AuO0chVF8XEe|
z2E1<AWdGv@fYAF}#6hkq{abG#K2H2vTIxj{kf_EG^nl<V+Pn5T5Z(g=hJ8M<#l^)S
zepYC9X&!!z64BF=uE_H*l{%K`)UGhBL;U9-y=o0L&Pd|KS))^0_X5yU-`Vzb1300=
zg?k1j_+CwPV8Q#hdI<Fh!a9uAO<)$RU#T1~;+j2Ve%~0NI|a?gqEl6;iCzTXUO1Vf
z9&9^Epk%@#Q)$BYdwfpaw0sUfb3dAn6(E^<Q;+OGH$@F1h`^0s=Nv`CtS_D*-YB68
z221kT8w#f@<dqrc>M)8;JNh77P+KSdK9VXmaSwu9V{rcu!p=q3?TAjPDeSwu@n?xQ
zc)Y$(+^>L)2!JS<zn_OK6crSPdniQW@tT7uF_N3$a%AM?H*<`_OSSE16Y&!1HQ(>o
z2$(?o^>^r%Fd+CRr2=x{t#7;N>FGb>Du{Oq|9K~Rkf?+$LF7+e+(tYvp$eW&@*oja
zO*j%A6&&GE>e<rp8?Y+`5O+k_O9`vY20?k`cUx3)?nWLXKIrlK_h6pvYt7ACnJW=r
zcp-+;2_eM~*{w|f7L`tUS_b3HKNzR?LvmCEs40`vf-eFhj~-&W@OlAMP)Q^ew%@0$
z1gkeH5%IV@WysxEeS5op{^SR|B>Jcb*D<*%CGqySA)=Z{A`zPat;Le?AfYF(km%9I
zDjtBbwHDC*4Qe~*)M<$iC_MOm6=&dwdQFrp{QR+eA3l7D)l9tn=IaqEp%)kMhcNj6
zX5C76|8p}5iBGVg;WhNg5p}~8C$tcG(b4V~1*|~Z!3F7pI0zoScbbQ1HvBTaa)lG^
zQ1=YZ<d_EjdzdeXfk*Fa9XZv2@^Fr301a8&Do_rb4AKc|i8Vxb09wWfC{Gv=3Dt-&
z9zS0N@YZ~16^TCR6Oe>t;7q7Gf4nscE<s%y&sRT0EV8r++W~P$gg0*v+xAtRBrK_0
zw{De@6TkF{624a@bOUkC3jH2xH~^o7gbZ%`g60l#>q^=+d8MlY1}*Qd1N{V5cCFvc
zR0ma^sBJ+ieho>uxTl>U6h5or6WrnAMzDuaXNX6_umbBApM*+-81w`l3M>{C(X
zi1zr-qHyxLbG}MszRD-($Pkv6HEPvL+fB73&ctQjf6219RP)Z6Qy&ALkf)8NR|X69
z&Pur*t$1e6Cu@9QK2MKF_haa&eNV7M&#!Xput}HjtXT>&5BR{)1ord&&9x42pJ=^#
z$z8^$>oP8BlA(F6EpKOJWaN)b^IZ@sy}(fSi-_bE4-U2F(r093V6#rV&pp8M_c5?r
zBhY{^SaYg8Lo=~}Cb8twE&BJ!j@O5q1n%6u3tp@H9$tw^rTD5JKklPSqz|w<*TuYg
zAKjH}p#jra3oufnz(*nNM>sCaLym9$@Zkfh2JhkHx`RrU0XX!<4AX!jqCB$y_;Gp=
zLMcN-R+2tQ>)c$I&p4bKmvQq6ny!S`uZb8Wf~iV8;QrwL--n2_AL}!@1D<D+s!eRz
zZ?Lv2&k2*<tzdH|y$8QPg7z?S3W}3k$YGc2LMJ;fK>7xfAS%_~*{j%s`Wc$M@TwiY
zm_pjOZ{HSjGMx6sEQ>w<GHg)8AC#8Lcsll0hOZ|@MMeE!R!*o#6{Q%Ib@%7ew1*%N
zdj$mOAZw2IIUoFI*!);G2*04Iudio6bm#-z+gLr`Xu9}`+GbpQ{7v2DD>oW8PtTDj
zA1<pJoF;joohn24!2bPfNfGs?TIEC^K8XabX~xTQ_%PLG(Wxz@4(JLr&1hO6@w3^6
z0O(5C+GZ48hQ4^l%}va0zD)1b7V_9OdfLAaMYA_*oNqO`UMD0dYHL5l;CB5i_I~HK
zEDXt1QC)rgt7=M(K-WDSLXjm09Vkw|e|No$M7n$TZsKDh`;pxweK`ARd>R@WiVXS4
zNDFBGAJEpiF^7#s;{*OelJGXJ#Rbloll1u+QynLb;fdP>2xUDW`p+rQlC56oQBzfo
zjEnoycI<6L1PT5ynt85`a-w1%Ht|mv(2<it$2sNZR*-+_t!{D&Oq5Svym*AY)T|}&
z<Hu_&Sji$)IJ8_x(B@8(IC=7BQ5V?AIudRg@Pm1qBrOF6#WQrlE~kRSZQ=;nIN4ii
zKdH0zpCPa}PQ4gWZK9x|@!;prOTT)1o1bPQBAJ+&=<{Xm`pIHOA|!Hg^fLV@a6N%S
zS$_(bh{$gEyU<JXjO^}5UgowRKPWrerCYw=xp!|3soePJ8?^*cS`om{sOacU^g@0b
zb(=jAS8s{{dO{(g{@Dq8ZjTtRpM?7ytJ}P~H1cSe!_N&ZIkpM)=D-LJFvRM(S+K}&
z+Pt~<)U7%$^7ZR;ZHEp_2%Oxqg^|%zJZRrW!;>dZ-bZVUEyEe^ZRBJ!(Oa=+3TW<r
zF_($<D>2-hdhsxp&5StKm~ncef!w)slu)i*wnz4U`uv%NkFTb|faH<y`Z{*@vUl;%
z3GD+8tA%Ke%8W~+AicQYiSs&{P|qSP+++}vn19N-&@e=OM#j%@HES>B#X>hx6ix1;
z>Ac8<p9M=2I9O6eWjm|%M>Mh?L1SPGx_C(*H8n~|{cGX+$C(zP<NgR*xM>zAn#6u3
z(n|Wex_(Wza*rChvv`z3c%-QAg_V2Eh{qzYEqzPS3Hj}ko`y-f$(Fw56gi`nYFo$)
zoh?_kZ{C(if)aNJz<%$(ePjp(B`|YED8)xK3|^n=Q@qxiLx=VLiMVUd)Ifcin0&P9
z!gz*ylZDwVDMFGWMKkd;6tNU^AMTih!TA2f#Era(Qcluyzg%ME2jXK>z;#vB)w^(W
z4oL%peJEZvxw^xNdW3;0(P9%db@zbhujAV{QW$C&Z?oTMl6hHl)@Y-R$N^>hs->ln
z-n{K!9OQ5vC5FAh6~+uy>-ubj`=*^3sP64B6P)JvW1X*X>+&i2#T4El!1(A#n$adw
z2Xgpz_GFsPn@iAFOO@XE5FAn;sN^DWmuqg~%dEV-yo%l|HZ@fa)eu*w!i303G88|H
z(5*4Fp&ONBOcW!$3GC!2B~G1M1KdRnPzTtM^~Gnygd$koa}2ZE)T9~vlVu_kf-%mD
z;n7(=&r`p)Mk`$vXM*Z&!q3Pob>>&jj~^HD63+Set9MV`#1o|Rs`Av-)MAhCf3d|_
zY>}kZO#I#uxh4Csm>83U@;+@Hofkf@#+hHTf7CznqcZndxw#IWYG2ZZ?|ffbTE1;U
z?3puX_Oi2oiOv>v^UZkql7)2M)uDOd#dWy;$Vjl4%X$vwnY*Z}2Aqzzu%@G<BYB{_
z6MGq0avQSl7`m<3nh4Lm5O-$+JGN(EW#YX=PTDIj-rnE)PcnL$bkK{1an~+IMa7%w
z3Es=Yvl$Q>VQU=<Ue!N-^c|O$+jv;C;8w%ThpWk!_spB^Wj~<Zk|INs8pDnSON9o2
z;uf@8lSm^4ix#mzzkd7n8Nlf_Y<!KDdMVQ?^A>A_Sy%v$_4G#TthfCQB)+p6hj(DM
zomIIxt-ppixlmYwUwFhwes7ZTN5f15$piIY&oe1|DW3^hA0X+&cgoeXlWLs{EYGAB
z9f}qv#qFsuN63X7qlU#XP2583?sD#UqebvTFRy{I?0<6Emq`R|enx6|gHRs2gFDP<
z=h$pOP)5SkH{y2G@sS_<TvF29d~j(ZsPGer`0((KhiCT_^|?HV7$gtJ$)1d7;*hc^
zZ+Re8UIGT6F>M|gFnyz&&$z>z0@*hGpkH%3?(6id!dL|EM;af_02ws*ZiR2>x(Tgs
zP|$i318%UiX*Beo3@d!vj}_2C1)==iJBIoBd1x2J_94c-s_MNVw{134`%5wsY$4u|
zNdT#+kZ&w)%b~JqC4PML`0-~;_eCw@6woI28TesOCi=kiaVM!gpA|GUy_OeeFXI<V
zYHIUTQBKZHz|2L+0<Z;A)z#JMqlEWN*!Fe4qR>C7#ql1i^vul0Otno1o_=jGpv~C(
zr9$?U^AW}Egru`u=mt5APPcWFrLbcxa)*zJ%yryGf3c;#8~i3SqwPK@%D&9Z+yUzG
z87Yky_DJ@CQoCMcbkqz_M=Ke?m|#A$mYaj)<KsOia7(h=5bKE)hkC6^mb;adjqo0-
zb+^kVABf=YT}+yZJI=nUCicvkcomid2iB4F`GS#pTz1p?4x*oMI6-I|1<OC%t#{$S
z-EQS-p~e}S$j!Z7CYpY%U)@G7%MLu3J8;CjhZzFpkeTAVCPYy~jkA|8zmf_+j)e-q
z!d+o>E6elpt)Qh1+w!*eJ?n@bxwAocqmA5{lKn?=9^3UR{v83V8!%4$g3b6DgUhEc
z%Z+9Fa54TfyK!26MmzCxWc{sblRK=^1vHPoTz=NU_7}{&v^cq45&^^677_ajUr>(d
z0f&FqD|^TNmnN3U`erAure1W}vqLcm=kd>Rm!8*~+V%w}Gz{+ZdYN3rGO<Z+?4Q)^
z+x~=g!`WA~>u!J04L0Ko#%F!oFa7&jms5d8&U{((EGB7(7lrv>dVC<~`DgBJH$44%
zXJNs~({7VC`J*qQ|EHstH10Tglz}QPA>sCg*xT%0RVMtnnm8?ke~;Y4BJG!7d@Ir3
zVp6gS@ynHAkK*j-e~&J7KF|ng(wQ&F)%t;p_Xgd6FrDdBb}yQ*+WESb1=(lZFvS17
zu!eLoQO$X4!*}s4#{>$N3GshVXj;OL^@Abb$=KS)1nct$o?;YUUikMi<JKPush9z-
zYS+%x+`G}`-w)az-Qisv_9;WPPxJ5&Jx|Fqy6^vUii)K43{B+!s(u^%iz5`!c;C;V
z+?IzJ{QE(6X1k;_OHksD`}hAnOK~>XM_EkP-6ng<z94*<Wn%xo-!@OC5jdQ<<GFh8
zR@w~De?P;#MY1}QPd&CawSEn)E#tO4(a^n=3i0oDJy})Y2xvKYNdHiP%wjv;Mhav}
zlUsYO#A7@TP~IwP&*o8%=yKaV$105_^;W%Sz$RzMrpOJqI;<`<?wP(bdoC<iDSoMk
z!Q@2An2kt9rH-(udZ1C`?NkL1T1i@<p8}fOf0j|47H_Z|aiyjiGfX*hAGTy45Eb3y
z>+4%UQ<Tv1wR&D^AjIYD?**#od6JxT|MBB{AM{PG(}l1rum{LsJV+hm0c-StU;y40
zR}|lGB_~4$A(6a`*SxsU+jalGHvP_>8}Qrh4;_OFanx!F^^ulISU&Zp)3z7g*Z>G6
zl*0|e4k}*}ICgB|{G#93m{syn39<DmiLLk4C^*5=PcKz7kr)vH@y;i#4;J|-_%#9@
z<zhTy6xfH{dxdx?gz>vYr<9?_y~b<zF2r`7GU0w=v=h_ZU_e}TwdLcRX@{M=TUZ1I
ze{^U6J2@Ghx%Jsj`C;|hXMU;wyDd*C8-;x}ykU}oK!e>wtC;(r*IqJxy_71E+)$){
zBt<yr{+b>CSsHc2U(={wRrghy-o)YR_8j>j`*+Q>UYH!vZoXwwL0`<qGQj=su{?|u
zzGbl8n069{aDes8GO+bO=cXu;s@i*OwP-+_Wgz}PA7LqEE8~+p@HAhTSUEU>xSf9@
z#+RhjR9f@{-aGs1rcCrl6eo|MWu1NdMm^87XU>S;sW;7-{f2+ue8VY_{+#q3KfkSc
zP;BRL8!DQF`hgTKUS3+5<_`l0kq3Ci`kXoQO9R16mxwb4{EV)9w$ds}bnX;Jv{2lP
zvWz0pIgdDyXn|Wfm7tSg4EI(c@Yj80-k+2Y?#JamVf`9bF2F#A-IQ|iFtMB1BY1z0
zOx^A7U%xu=0h`yFgqDJqoDFEHr;b)?q^QOhL~O$bu?O$GbGVH7+&_^f&JzrfxcOnM
z#a+=GzbFYrjdE>`w=X`l7olA@z-)2<@2JQ!F!N{R1|p%w-14U9v2$vJRfrdDQIxkj
z?#A7}&#r(dEB~wMwRJWFBdub?pBNkGN!-&>b`nkN*XJjUsBoveB3!g@A)+~QQCN9>
zzYQ^x6WjjG*R%rIk_D0lCS);9Gm$272Xa_~^@ICM+y9KUs6Q5zV^ZU_8GTj^tC?|n
zcJU>XGiSCl{Bwp2GsA;Vv+<f1;+hG6lNJ|HQKr^jmW}%Vd<ndJAJH6hLX-#T3BJ8t
zdLm9*Vqo!wRO{9@b8Vru{Tq9x6@bM)K}1p1(`%1+giDCL&NL(FB|c#PC5`Io*Iy|N
zjLidE6!$(g+KGMHU@(^fXiX<c3vO&}Is|=v99<ZhIf(@YOt{ZLNxX8bg1WjVpu_&7
zN4Fuz-&2aeX8X9_v>4RVs;_Dv@|fJSBV@1!oUyU73F(3d*9*Ok9q1X&wzhnNm=i~h
z=x{OJm>T|}k*QEL>5Ylpx&OuIoZl~n;Dp-#XO#P1dR*ZPwu0ghQnv~15J+WERB)$=
zB7o5&@D^g;29GSC1z1~SwGgD|<m8m#)7#tIh1(9;zbj^g$bn+2pj8J6bulCGzZ2!Y
zMmvd{2ZFDo)#71QmBO{=OlsU`sTfveS|-#EZP6s+4Tz6hnb`hp#XQqyn4?zm&Tg17
z^IBs~=MPj(I{~tG0c_;%<zrzneZ=m?wd3?tqej3ZT1Po)=?$o#tpy((d-p*<rMLMW
z)y`W$i~9~AE|*eVpg-ATdCN{!P3;o=3eZ4s?<Mo=CtjX?g_fO7ghKLv6>osS^<lmK
zBi<}6xxCTN-b!#b*r`eUiJHRr#L}3j_$PFV?)j{)s%ij1$6+M97q<=C>@c+4m^86<
z{x;YOkY&;jSu)u_z)7N(?#iRHU5Lw}voH+&R4-hhgNC8iO598DTFX0H7{+vVG5C6K
z-*|WV(j9g$u=%m;XU@DhSjP8%u=eIrJ+|-H@TZ7WC=@~^5shd-gF;0`ljc#9=0TGN
zDyd{hM1>}0XjYo%L5Py(qB$uljWj6Lv(LEK`aSRa{_(D7J=S-9@B2n|eXi@gj$!Y8
z>;sjsIuG;U(2%NuLG_#3-Df_JXohlK|MtG|`Kwn)A+dOy@DgMbFfL0~^#L1zmWaT3
zfNYmL0|ID$eSLF<!<Y-V9d!S-o6?Q(AM31^c8p4|MSedSagYhpj5MjJ2M+>3HT4i6
z=^s4A#l`h0CmO8_<xX($S+A2RnwU6bM$zhcV(fp1h<@pD;cUMG!FL;T6JIc1cF^<B
zL3})>b?bZ@8`VjfnhPM|@-|K;)f{eADq<~~F}(8Y(1;tq)PB&uGuAc*L6pb@BiM|9
zYY^ASf##%+&Fc$?@0flrPXBdmtz_fi6y}L26y1)8uU@?xgC9u`pg{7YJZH+;TXUKk
z8-d?Ey+DfN_S~MaPY~+gjgAgND|ByO7B9g&t5@aa`+$&rh?3j_l58()AcEskglk(T
zTW7pan7s5x8T^grD04NFm{?g`O;hJF)gYEB<t*poA`0Tt7ZjGDEHi?KO$CbTn3f@?
zjT^tISXiAlGFp4@{c;MKEla9FF2^+0nr?zDtuk!mFO1zS#`j9oz`&+!1qCG{fQz?)
z7iz&t1QjBvkY9tk*-x+YFNJ*3@XN@4Oy1A4W6+rF=HYS3EoH~ugrNP*%vg`%sVP)Y
z_d`STg%5CZqqZ?x*<Ew^&)6|aDb9m#N<@}M4>~GwE{kvoTB#`;Hf%U3fmu;=#Fmxd
z<TmX;N9+CkoZXQlR7Br5m-|1Erp49dJw!wgLj*u2YkWl5Y~#!>&OrsZ-_C$h*DLyd
zPMGxqBE<$47Cgcy)zrr?Hnp@|%y)0;M~r8?y=!c5S=)*t!yq`>u~PP8%viJH)1y6Y
z!MQ0f4LVTU0n?b08N;mIozPH!LSdB5b&TSUkAD;&l}^z#f!>hvh*i-G*0|c>2$JT#
zA}6C4e@DaD%+9&(&+nhx)>X<Bv#_u<Kg;oEbW{6z^NM9wYtL<lSm`G!y8$@0_TAKE
zbi1nX?90A~g&$EjBsCpPYHGcgU){!^n^9kIG)7uQg;AZy(=V<x4qvf(^T5#F?~A-h
zroceOPQJkHjW~FL8j2*VNr8(Oo0^;RC0fjdT?R(o{Ekvl*t||@t#3y*w}HlO1LX`r
zBO5kX>(wJ|b6*+?)3t)R=1PD*0*HGFY?sfla1)+6G~J)_op~YJ<B(qm(DWL9)R)`h
zBNPgr<XOB~?>>H%)7Re$GQkgu-HV^XaxybBtCKeCres$Sns6GWZQFgFI+BA{qFAl8
z*Yjit3e<@ePwLE-`z^C{0f1Z^_Tg}KTFtC1#eP?C+#}ix`RO3^8x7ZGbwUZ&B(X5l
z%O?1NZq=#_Znmzjxyqh39<w43yC;2M)IgzNg0Z82Q(Mz%J@(FK;S!o}1uOSv=>|e^
zWDM&o{{C$eu8e(seXdZj1FyBfNctF@M~p%1#lLv*7E*zm2uO(Khvtj_)wzz=!z|X!
z`Di4UN<t>p0~}T9^Jnj>CCFd^F|6ZA2paQ9rIv(4vAa3BxmV&Au?6lF5Ln~Gk(*ij
z^Z?I|Wvka0rsO&gv4Azi3E2mSKhX+Mm&>HXhu2a{&+Mg`E36O?|7>S&UJ3<m+PU}Z
zfTGb;(%?@=pmF$b`f<>nIB}wsfM}*wEE2FF84mUHf&$6Lwqd{tm+rzNz-f0gD9A2r
z_R3O$JvaUd{mqlQnS-31EtoTXWiBknmwsf!34mxwMO4C<H`^=)=nW@;oE{t1N0qH<
z8dC5#p#A6)yiR?W{~D+Kx|(}+P7!(TlRQu(_1`%MXc&e(n+{((h)JL#-8{^xYlQV1
zlz47KWB$`#_!Pg2fsVP&Sa+Ghqc#j)`14gwHK#<Ozr6DJF-KVc{<5|k5Nc3Sz>R&j
zRTIUHqNr$S^wk>W<lVSIN0EkVpdqyc-a3fh-O$LbsQnd#QFIB2p8Lnj{)3;`A*8dP
z{r$J!{oW;`>Z=r&v1nXI#pHGmxe*GVCQBccP*VbpBqq`!H*J#gEY#A~eV2X<EoxYQ
z>&V$LC!;Y)$S}8<c{-#JlKtt{S9Vuk^R6<K4^{y*4-><4W@b;)(ijmoDBcj#U{w0-
zhX?yMNxBQGojyIEIDG>Z41y$uf*CTqi`Gy&;sG0rhN}WQL7>arL<RyVr5NZKZX7Z*
zGb7g6W%wjNq&Bwk_-Fg3pOTSTPRadqg`^*ZPYZM*sP#^KZ*A7v&N(6aq%Htpk(hH>
zBV-qN<p??!q%~2Q{zEfqv+4%PsP4e)*UL}<Us(9#7FUteqMOA%{%LWQPUv0W_0T~W
zqo7tY8dpzh($2NtPKYIpZ#H~8)tix#fy70EH`mUcS>k|tKS0HUzg-U3xR+<&&|Mow
zOA7lfCQ3Khx}mWwS=HAF2K#JUg&E+rxR9%xvZ8kXT`TcTup4sz^Y-uS;?AMB*xt{-
z@lk5XQJKaNOt7>huxNt~|K669S~2&5X9Jx_T`X^56Zb*1ivZBOF8w@Jka7V=c;ipl
z=V^_NjSa8wsLeGHLvkgUGv?9HA~d-|C8>LA#NW>^YxdZI@M=Pn!J;_`6=m;}pu-au
zc26)-OhrNP{?<4Hn<vmpTP58$0M^R(+KWW~5>{{8d@Q%N99RPyY1`ozTpAwKIGnY_
zC0?lW>;nr<3XvEYN#K{1y_hzMv)8;H^`92t>|fYra0Eag!8#2MZ=<H_h2V!!H-CZ7
zcV7jVfGWg1f4)LPLj%pR0RNA^8#r$5uuy3DDPUOmJ!BK86N5(^Av$d;7+<-X)pxVd
z`7_X*t;v%C3I*)-L!|gd6qu%ECPD&Qq)fqd;U=m10p)Ej9|3+Dlj8DQl*gS%k8a>Z
z`d+&x{-J4T5;&x^swxwdX;&h}FMh#g?cTk+6a)G`5DhKSA^7+DXUs(axMm=#qB_{6
zwjKC&$^5V#xivpJi?-lixqONW4)y^t<}xDzPUusKmlW8S>$SDDENzIDX|NsIiU<m<
zO&WL|Anq%u?DPLSzI0AMq7`L6qISdAzN@M_cIs4Mc{VCI1~!RJK=f=c^6$C`y?@m+
zH-uBvcT;|Y63FFmp2=2A7@TT<ga)3F7`eT-#eZCE1w`7G+FCffK5Ts<W)GwYT1`16
zDd;&rWMqO-Kt#mv_O{yEn;<0(z+3nQgk%NA!n}d15-++L<Xd*q3P8v?z0dg7a-_po
zO^o8zQ=TYbi#6{h+vLG2EzP82&5y1UcEZ@%*zm7d%XSN?%LL;D+t{|A(|L<Se>W=X
zHrz>bn)ZR6cg3^<`5J=j5{d=>=U4C$4=%3w8;z*7e=g+V^8p%|cf1~dOf!iYy|o-v
zMM-U0y8HtAx!%Yzs9Rsk#>B?uX7~pmSXT(GT<)dc`z@`kBBOwA_ta`;^2V$4;PDFO
zwXHeg^75@7ii)rA?h+n|&9$2<$N+H0DvaB|sSM%0fNDd4_ugp2U+^=voP)a7$s<5B
z$+U@vhVPl$bx1iWr*bY^{7<sst<q$`jtOo$KWY?`lt(-gTUc2Ei{|;vJBG{1$-O%J
za;#trjj)~rM1BHN$_ubeh<FjTdhOcd=g&Xaa{s_4?!tgnDp0)*KA>9blH7~fqAyQ9
zJl$1()yHQqfZHJMN0HEQ`6Dt2cy%-*l^qK;6&4kB|K+xWlaq1Xx-a$mVZ5$V^S@3L
z$NOIX4aiO8vqeaHu%MRs`TZZze|M3z#qUXqY7o&4*gb}HQ*=6o37;0?jxA^$%X(kt
zJ}O*Rn;>2-z5~oG!f^#eFe(NH9sRkmC~3#j3%GUbm%`SsY&p8ZuJ<@-4ZT(`#azyb
zZBsQn2R9?~0{-}HEoX1P_ngj1x=0wj%)}+*0IWk0JK?%N14EMNBmET}A>@!?Rdhse
z>Dql|CBezTVge5@J-2`R?%lMwohOu(-U3F+cZ%d2+=}D-56p=KWe*~Gc$ES9k)61H
ztYA=4Q=`uKZ0#k1>&7u4sTIw3i(yH2c5`3zE{xB=LgyyIstmyi3G>=~p-R<=J<(da
za>CrS)PyR<OYS!5{7(E2PZ{qGP9GniOWRf~6~Os!KX;*(pt||S2hG0;Oc;{yaKw6Z
zgB<dDkurSL>>jJkhFpl~?BSTJId^_&(j9ax$$232*Mb2mTz6G`zNM(Hpd&j<16tDt
zN6_!^5+5Gdj`tY9xjc3EjTtP~xPeB(aeNucVN8gSq$wtBA$THVJzV!oNHF+x(qE?-
z+Q`TlKo{V_+0uM04DW~gbC6OIAQ8$h?7FuKPrV#!K1O!-(eZ=rd5Wca7dHVwVQ_YK
z-Yp>DV)+Nto#0${r@lVgaZP!BVfFfgC_}f~q%$%S5f<)-|IS;u+39w8{_H>XXHcu;
z6(0OGM8vbD-c$x#w==0$@Uh&KylbV$2soMGw}+pD!$gvft56K~#Y9361~7fp5`LNU
zjp*;5?w6f{Qy0hn{p-MJ*%;E&)6<ueO91-d%D-mtutaFL$itKGYHE&OxUdgY?_TRq
zX`&^!z~KC7&s&d~aOumJi{{7i`YHPz!y)(@CZqZqjk`UZ<=0g7_w^a$wjXr*&bWjQ
zh;hbdUpOKhTgq9rpO1weH+ln|Y*>-4r>AFJ(zLVKHadFxeNYeuy{*UeUGxX%x9C6i
z!qEd=Ol*4kI=q3%sOZ~}Yy~lLC=oUGe57ias2NE9OuO`Zf~9W=D)`q>ftf3}Be@`H
zlJ<WMbHRlR7hGX7H2%pXC~wOe9G<&IZQ#aFzc&acfC5CPB=8k(VrEiR1dO#kri!L6
zfch9dH?B%mL&J2`Ys==%*Krb!A(J*tIT>QQ`G8%glf?+eNl~aE@yLRlL#7lLQBKjk
z`2MU(PfyP#xahPPUCWosSzid<bD5pz&v4D0ZBm|F;X1-CU{uV2lZ)uu4N2J4Fe*><
z$qU{Xr#Sj-;-*U}d9Msjkj4?50MA89dZan@DP&u6aHjV7n9E$LIkUGL+9J7Ar%v6p
zVGUe?PLv=sq;h~jJ@qv(+B17M=|5`wv&K%D6=fX=K5-3=OKmne`;=v=-lP<PGkvu^
zPaN7KbOlrtA`M&0u6%s20RfF8k+j|`069x;FcH#tp21;^uOPmzibjS=AAlEqFl*6D
zugavVd`^!s#Z4`YK9-3_0JR-z&SP;6S>kB#x<SdIr`!ZNdquB(Tz!|dsK?%5ubU|E
zATU`vp|iem&z>3M6*j!?_fD_9@&)+1mW64Uru5uXKKyceB`jCX_JW$*D(3Vq>KBbS
zca$qNh6Y5nd_mR5vVB9QIQ&pi=3JKUwpM<79JG->bko~*T@0UVDOvCX<b$~HE_@p>
zSJ*dqA?5q1F}l0YARK2`)0rTR0FfiTJLB>)tC#3a^;UJFIQg_NO%m*y>S*u{kW~lZ
z1#D#xm-0Hi05l~3XE1q4REkMWv*!euCMB|I>VCOP0#Ms1vt#frQNifywk8}3=IVhA
z<^k08$4yid)Ik@>9Xoa`?wh-ZY6e6m5`V@Bh_`~YP<5CG4=z$31$5G(ptAmVFs>sa
zV(VO2Lqmg}H9I8k<s~rd?fqCqKmeLdz#U=VrUn`+uHI!-y@=Bi(=dQ2jQ=lmNfKhp
zIwu-_q4(`-bg)O`8c;VvKec_&o>jm;e9`0&4ncKTAUuk07td$S8}}$udO<F#RHFzB
zBJ-^&syrdEjAPW>tCG{J>64S5UcWHi-QCU7hCH}+AreLl|E@&%V&b`xqG`jmaz|yZ
zoD4NZzw6-#M#C{_bSG2Z3j|%rne4_lH<}BRdd}8Xz!t6m(6hMl`{(D2h4t&CXbKAp
zbHGXU$vDI2{e(*$Qm+a?#lB<Dp7&2KFivvW?sN^Gwzf=?l2=i=GcR31(?rfAH!igd
z?vYpV@;g}?s;R954)pa|e89Ud`QYVH9HnSlDSy{Z(L_jW?1cfz7d(vN+h9LBr?cGX
z6_xitJSk8!DVJ5Emhc*mHW<F0p=P=Htb82rFeyhrO^3c)O=q-H8qd1%9*Mkzzf$fH
zq0OZ29?roi5KeMWj+mP6M6kFpP`^_jQ$r{o%&o1@IfT7ii+k_#pxtH!KQ(gX-Voo#
zk4%M4hY4ScK|GuV+l%^`9J}-I;Xo5jbAUT_Xd@vkonxRn-G=D&8Z-9a8tJA8J&hAh
zaMlUtq$avZC9_47y_+J$4l~}hL+1y0*~z^Vn({mM?|&UvXhK|u=;We%lv=`%y;MWD
zky$Q{dUPEFCJS>5RJ|1F6YvHQ_0G<nG!W7l_X*rx>B?7D0N1MB8~Evc!lz>_tWG+T
z@nuP7a#44Uh$J7b!`^VFeT*T)rhSOW1h{75)2@9}$8<O6daU_qbW)S$Us^=9bl)b1
zT;yr!3uIJfpc%rDL*VPzuh;xsGm;2Zn%t9tUlM_GS06oMeO*!EAsmI!rC;RE?8D(S
z_(cW7#uCM)tru7Mc;olExVhWzz0WS#5b(|s$*BX4$MLs+*(Av_Nc`=Q>Mj8{m_gq|
z4m}XmU!z^@q`Zdz_*L8xqigaqY-j%GOH%(cI6e-L*Sq)c%b;w~v#vtEL)ncgAQ1A3
z)HmG<S;?m$A*onjhzO13V;83@4f=?z>%gJBJDMiDjNF+ZAi3R`53T^tIx?gZ@b1{(
zcGo<w_RkABPKU^{Go>VWq%1TJO(KGB0AjokkY8&1f*qoC)KJQed3a^gqs-jwBo=uZ
ziWK&sckfQ18jvxlNm*`(Yl!>8!Opb2Y$zv{(b@lKO!r}Vs-)k=RlU44Vn-Nr*-uLk
zC7Pu3RRK6%!<^q`uskq&$AoW`=gCm6RrqcfXPXy*nBx$Wo{TN%O{Cv@6k}QoQvUw_
zoS-f+U8hmN{1%cn;5?}Erd$~!>+VgPIs{7f(OD0x{MpGyVLazDI$DQEi8m0XIH@w}
zXoI;vdwjDLW(BAY#$qTfAioHqnFUS9kH!cfBY(ahmpXdlM8I*AJ!sr8<vmj0j^64l
z!aZAH+##J%RTUL)OmE>tF+eWj!@+^>4I%0^N&ujRgIO)y6QS_&u{ClYQM!GbpVj@~
z%{Q-Px4p9?wY<6Tgs2>yHfnvmuarl(Q%Bm1kAJnoLxHG>C^d*c0zyo%vJ{kWzub!y
zYjz;WHu-2K`9WQ9G%R1=+<Z5XqMEq_H)8`pcz}zCdUN}(U2l8eH#FnrT4KnecHe*o
z<qf2#lB~)A0#U<o$ve2K3hB|fT)I?PRk6bi4Ic@w>3rn?H9^?vX}nASG1+3LsIC1#
zas{DtEwXftuASM)!qOiy|0%Ly*@N!k9xnMW8xKru!K(yB@E^nN;nQN7<zV#On}v<-
zqse}n%>JBHF8vYsO|f4!;0+^nL!#boL0N`;QA4*KZTmQo@Yu}E#vbZx9JG*nA0Qf(
zAi=H8(5O4+i<Dms0gMUkitRQnq&B++4D!GJa@7gl2Q+~4ePS^PAy3gLbw@g123Wpo
z7vuNrIMSayMm&PWM}z+H^MfyCR5Nq*fy*cJ?3lex%3D}BH&r_08G;x<&L@4`CTR1u
zSVSD-zBGQ8tq`+%9l%6lK04;py(T6m`%rL@W8G-Fs?*<p1*s;<J}@Ez!sT3=v6sN?
z%LC+CNUNJPVi@rxL96b(5nJwKo~*`g*#><Y+-?%qR3I)ubqvZqDCd}c*nxE)r5hsk
z2pLHFBURP9kxwXQyD?;Y1y!#CAIkIK?s>?*z%u+`(fUJJOz?Aj@Jhrq5*s|`+n9U)
z{W!!gh+?j#r|*Zbt&`>CS1!nWNG<)gwe<n^vOUJ)Hw5n~bG~fPRs+eL9hO<F;Qr(Q
zRG_jWINY^i3<@1}cNYVkRupQ!i<3H^qs#;Ofhc+?dx16m`N}Qz(x?vcc0U<rgbyG0
zg9CPK4h|0XDAL@-{{d(Ih$K)nOn>Cxv**g2v-sb5t4*s+M-u{;fo>zelob14U{+Xo
z1FAI$QHFlCqpk>gJ7Iu#3A7L(LIi~=zsGo8^UqO1ZT6UcU17=ZYC8(W3son<KCan7
zeEx>8L<CyH0wX~C{3rvz4HJeEd3H-$%9)N!s=~-Uk1g(IAvUoeKk+pmPf#BSDH0w|
z1r!?itJ289gy}<eNiAN$)6#zgbdpXdRMPMz_+yp0R$1YVpi2;7gWlHF4ed)%lqv2;
zc>y#NuAa6RKcKLrrVz@^@dMK4OSnXkx-ZiH-<90sT7`Z<Eb`+*S2K$zC*3(zSYZ56
z{yr*#X%hl}V{<c+T7?N3y#<1ZPQ5?tAl?y!M`ohoc(mY-2J2kWMyNpXhG!i2jeuu7
z%q^kZu_MYoAMt?C6~atuD(P#AYEl!WcI0}PjVEHB_`maU0O&E%%<=Hp&(As&!5oNg
z9CB~DC&mt8`P+0t$Kj9Di&?WZ?>k1*0rbQ8VdCe{A^`1Yf$n=8qP|E-VK9T+ZbNPh
ziQF+{yTWxVL8f2eEo)2C5+vsm?fEPClIj95coIZS!SrOqpx|zN_j*OaC7gLc=^!E-
z`0`S8RRp}#)bxkyn-hHRKM7x!z$7g?yxsi#&hD3#l-49BCKj%{DbAeRX?dD)!v<gQ
za3%nLZCC;TWg6qXA|An7XE``0j{CHCnwG6WDMwUvs701j_>79T62q+WvcjiNm*ZRk
zs3Cebp!Y;q0RbSYRU%6!h>!R4T_c@^Z+vyr`K6D1T?<37n16)<-CadQPYg^^DCmq?
z1K(CKG35z}ibBxF<X+U-5~Ffp*A33UwKM|u@fyYO>Fz#Gs|~ae)GS~PgiF2yf!9F*
z{dARpi0}x&)wplq0+7fWddDw?ammLgCLTR@Y#D9~qGT<a%BjvN6VR`eh07OLsG6bl
z+zwh4s%7)mFjF0uypU6R?K%;4Da%t&VV)UeOCYl4YupkDD<AAPy>WRC!=HeNGex^x
zU0n|ntuOq7^S01AuUlXERT&yM=?X~SxKEA+9|(x0jZ|8hqDhbchoT^>1^O#}5>hlZ
zR|Lu}OKQ52mbMopz+=p9uo(&eC?KUHqDxr+VZ=V#wQHx%B_MP^h+r7^4e<Ewri@0O
zU9Ru9K}A=yqvI{iWo{!UeF^gVv%_;LBf1BUSEXw`$CfPtcYpgT^sRo7gD}8u<q%HZ
z_Nx7u<huLt;dLN@9+zoU&^ATILc;*o9YZ*mjE$(o$xuO@(i_Bdi3OTF0rC7qz!$>{
z&B!rM%Mjp4AX#yxdN%x<wrsfxevA`4$*lGP9?F%-$<J@?E$IRTd^aNE7C@u8Z(w?E
zUhG@P^xOM5k85}m<}Yx)CNN;x1hthbHgb+ZNZ~$j$(`rVj60}Zrg-HeJCEx{2v@)+
zE?WGwbhva$Le%<`H&y~Xy}9FwbUB^jARlyNbGK6Zd<56$CwK2885L-FX8C0#d9nis
zlM<5(TZvV`{3~lS_=K~-%8KoF{6GfQ%BbR6r5Sx)HhL1cgN!yJ6OSK^_c%i%n0J-A
zaM;o6ZdNmB;g#gJk(0*B#kCx@^=ovh27?_0==kUXhHdOeMoqRyEJ**rXvA^yY4Z2(
z=N!C^U|n_wn?9KVO<e)l-GdlF2r^byR_zo;sxq|0Fokm(r1s{kI_TKXfDnS$5zW~9
z_9>vECm-&oA#n16yf*L`C!-HXzBl0HWFJ3q)4!SIMJ#11M@MjtP{Qy+BSG5GwZ~6X
ztAJ#S79#$gDOsE=S(9XCt(j^Vh??^(1QP~~+nAhJLO=sCb&@0C7B2Y-XKfkV_f=Ix
z>N{g_DVV<?n>T~Hp0y(OM1L3#KsyAJ&Ff$(VgVH5IPQITl9rC{=*g1|*iqyS5qE0Q
zVRR}Vdihy(9Y@*^5#pZEAuXxwNF3L&#?7vT@6Z)~)_2jUl4-<@vdmGEf!zX}uNv3i
z0q-SJtACceuKR{%HJ5y_<XwneAiQ736H~>q8j0>@skP{ig9kS$JWE$JJRQvS2Sd%*
zpzs|0V(y4`PX;D7lB_|P;s8W0whg+n<(Q!;>-zR}`cv$c_A-{$!#}lY01=V$0}UGG
zF>ucB4RLD$#*P&JR3eEB`>jd|unyFG3&a+sfK+Uy21sGsf;qwThW7@PT>Bnsyg{Ti
z5tNaYx$+il_PxApPH%yDni#eZ)}p;Y9|(qbVhTX;jzfnw<HV^X6uLC*!R*YLm)iP|
z^fWd5$Cuj?Kp(sadPir=PQX47+o3w^X&)&ABZNuq8@Q*Stc(c{Cv=_x%BP!<*cc<q
zp)gcQP>1Y=8F=O$s27O27B;B7hQ`SC%L$-w{-{3kC8ja-$ac#&fcpB9NTrmNN?<X`
zU=}8=5fXh2Q@<S&bJLKOr8zwNeFy#^JN~N`*jdP?ZsOn}Yc^Z$%RSvRoN{9fT4<-l
zj#mI9>Po!4NX;g5r5pj0OCC#MR$!0;lJ&Ke6AB7Pk?|?gPwLLVso;Tx+kVv96b{@6
zGC2Wm6}N!kN9|sV^EkhbKT}X-O`gmyFw^fz@jDyvZZRM>fKW-`Gmx?65PtC~RZgES
z4>f3fMsh6nF+8a5cd3B99pU3slDwhU6SV|;m~QOYzCEV=CGIykP>H0A*8|=aEguE{
zMG8A~l)czlfzk)bPu9X>&&gfu35x`@xEJ>cJX`qXC=S}0x*$(qOk5Fm3MSt>$!&)?
zKX0C(`|hk4HIt{p4r|JMbvvK28PjSQuR4M&B<MDXR5Y&W7L2YPm%RVk`Yr0th!>1u
zT&rO6k+zY+O^vYl{VrTM!kE@7gI6R;MAvN4V?lmifu@xVx9q}Y(|U(Xx{@76lu}r4
z1!A$-H5-(acv(t8`1(PoQ#jRXg_6i&)B0`O0%5VZ7Cl`BLUkGlO{C@aNK&V{M}SAm
zleh?&k{p9evP;5ZG-h+J%$GE{u`Dn2^XiTJMlKFGi9vX>)C(?g`aB_(&kh%67ibpk
z!IJ}84@e0091^?_$6i!uGW@wA-PP~kQ+d01)jfaultMuZ(b)e0pP9r5a;CYr2E`{Q
zzXox6Vd{sDx~66<;T3SLNIRcLZ1zu1P7>M;^Xq=Vd<b&}2n6TFAv~!R0L_oKoV765
z#}Tc-ol1k7)m&w8N}y4`(;h5)x&l+LZ)|QQsC8!c3khLHOWdGi0~_0IWMQ{GJe-3(
zV54w+T-;vn9@K$g9WOj;9bllC=3!)J_CraWGeUboQ(pdh)lZ4YZjId=h|&fRQcOf}
z|NeBvb%mmTF=o7N)^RxODGt14;o!$m(_s1w2Rg559|~PEN0R9h&5NgsVbFB(o?P5!
za`9f6h}+6m0=xsz_f?2C&VV0CdGX~DbWUh{+0ZDnS7D3+=of4ry~B(=H)F_(-*6NO
z*jF>@4H#ZjrZ@f-;Fu5dNXq&1Z%C4#C+2#*NBw}4D>hw^W0oievu)^>fpWijDt~Vb
zMh5mrR;Ob~uN0;5OZ>J{^<3)WtRRNS-1j7U!EUS!7_$BBFAE3<Q2J1#TdTn2|2P&X
zX1Z;^9}uylYX7~0ulF&u5&>ZuWGzj@qzgx1xh6|@IHV;<HwB=UlZ7n?ajreFAj>HT
z`}^jooek6SE0^u?@{Q&;U7e1Tn%_e?Q+a<6P?ZZO>=lB2kq1d-N%3Bs30k!O_N>qr
zMb%7|(E@ddf}hc!FB?B)n5`uWDRLJvn9N!{T{M~{ri_RJ`3jC8v<78_?tt`+(QCFL
zn&6Z;ab%E_zu%zv(q@PoT>%k8DzpmUl1!2T9-p7?vfEdTt^!u9uhLDc3R_2^JT1rK
zvs(a&dLWIgfXTY5wsrs%zmQ$BA{j`_$*lm=``y0%S=2C|%MbMeKlr@#nn}$)+_=Ls
z|HSwQp_()JFf$F&3%<}%0N?w9_&<Zb@+IUgp!@PV3NC@Q5yJc73mhlsVLOy1sK#et
zd_s`fb;r!~goMprY8N_mu15uq1AM6Io?(m%2jp6^M*7G-MvlB?1!#NPu>hE`-H5kD
zUh{7fj&{|mG6XgPHs0E_@70hIX9p=n2;oifhPlQv^uR}fX<&K_Ix4g|W4Pu_-J&_v
zU(4{85Sj!`4dc3X)JGWaJow?T<^6wJfF+^fkp%TG!0h=o4-$2Xw^vRY<<Trl-1FyO
z&`hl{G1Yks$87Ql_MCq1Iy=1nZuI9oM{Zz%pr;2#D?kwy!j;?={u+^nPkr-q&?^$s
zni%+BGvS6x53H4Y%29fAg^`bFhS7W*7W9&~nRs^-onavhJs1ToG-m*kvOD%=|6B!-
z5ckr<R5fF?v+2`jL{K_EJtL#G4N%`;92>fg`0C1b;QS}Ctf*&h3oyA7`=J9*A^Jvy
zN`noP$7l%(xo+swP=x?4s*zfhK&JTCBzSiOyDS7LXYke{r#iVu@l`<-`EMNdrR4v6
z9QN^>nw>~IvTEOOn?R9O2zvci?4*-vtTr_>yO>xpg=*p^GHTmRNU!CQrcs}ap=H~S
zHBfJ+5Tda=b!HiM3QGbDbrlI+To_$^3+y(6)oSl168IWhT0BH{p+Y}_v5E`VGf+L+
z_f;|nRm7_7)?b)k4^d-}`PPIcOVYOziUQ!#6+&TP;S+8%AKRs|BN7n324FRjB?F4q
z7Y<1)1#5rZv<KOxUF0r85-ge#h-siL#nol&P7W%A(!u*cCCsnZuo<x$^&X}6yx<2E
za$67DQ^54U#bqCx>&;%jMRmhA_qCc@TH+DE&>xZkZ{nee7FLXzorxyO2v0Hc#RDCT
zG_!g9*hjdRJv?+=$Y^BHHIz@s2OR=psx%Hg!fMs5=(n$5KM6*OC4uXMc}f|o=AsSE
zOm{~y1qT4`@#Dt=9@Y4oxr?D6bD`M60qh^AzK1?NY<9p!qt6<OiKLD4kSY9mSdpHJ
z<AIsCR~Y4#n7nTg8xvF3NzVfnKh~F&fl?p}A_y|DG++hP;MS9uKQGPww&`=c&Ca*{
zZ|3(c;^kJ&tB`)9xpzfnJ={xHjiE~a0PoBB1Bx=9DVdoYP&1gueIpbtG<F1|FJfe-
z;lYa)9Q@^;p8WKW&%G0cWap~lh$i50yw1`lCOgm#1D1IErZeCjFWwsRbYWihd3_4*
z5mY=F9GiAGO|+>S`nZ1+1Hvw}<C({MHzQ#ofs?tBUlD-xcNyRlxAt`PWf_#Zh?}Eb
zf^*F+R1h7-)#k#mcPcJLZ+8Wqs|hrMYaDHOOIwM~Gerq2po|gKjo6L{vid=rQwWdY
znT}D<m5>yIpInK{fZGlY1^nw5YzcY;#e9e5g>ih#?C(_8Kd-X?p`b2x{GE4Qf?rs;
zF=fH}$`5FZ1!^SGNqA1&i+0`1>LB~`^*Nv>6(t*1-hksnzHllaUJ%}d3cR*sHiy8(
z1cn*|axSi(iRPi_I(Jkl!f74Mhf<3?IaGIVK(rgES2*Sn_~vX6XW=%~BnAsY7&yR!
zur~<wde%bW)u_JZK-Z$fy-*`L?V3`OjJbTb7Z|6htl<Z?4Z8&2H)jXzt)YNG@erxI
zJViVsWo>WDyl*`3DxcCWy+#W(C7zBgi79$l;z~yIGK!U;rEe{6hq&|$u$&4qZhUb>
zAMX;h5IqQlWYm_7^`S~W$Y;3Y2B-JbMtXBY(#Xtr`EZ=UVEQMxX0ZqwV*CXP4F)nx
zj30t@hILXIg1Re(HKyU~_y3${=8c4!DuB#R=MO`k)(dQy7Y$H_W*wAQc_Lxari+LI
z?mxoPASw*|*4)_0At~8$wN4m<enJ@G?&%r$6+x**GAUUIy98lChfrZcD<kP9wT8=w
zW9G7+u+h+9^j)-mE<ZMrGj)Wqb^etL&LIlgxQ{~yJs-`qpQ*X^eG5g1z><*-L;_P}
z{#*nikar(G{CK(Xq+WTAnDfd%MY1o@7)}(77DnB!2sLw(4O*1>ybe-`?U?0OmYlqQ
zSr60?$?2F%>%mG4A$Zu`ZZY(zF79xVwoHxF_-Xj4OEOOlQoc-c)ti-PC<k4~IKZcm
zSMsJpLOOEZ)U+odF6tF#X&`(FgtZb25-Q5!!9QELIZM_vGxuReB#H%P9?BOmyyY;B
zx<M+7ZM&55dM)YE(RaTla>WpBOrsPy^xe38cfVQU1=3Mr))J4=RU#CdSw%<thXM}N
z2*QDmJaGLy2O5x($DEx-z<c2Q5DIJiG5<5b()G_hLZV+K!0n2{^Y-F=*WzR=Pdh><
z;lvEVr=&`hoceh$6gG-;DYqZ)H>Fzu()}bpo;G%OtI)4(-uJ_kS?QCZY6<E}T02FB
zh0kCLn+*H_`lg{Q$&sHtAsdn5vjDj04BlaK>JU<2x-3dTJNTr@a%cE|Q`qPp0ak~x
zP!Ftu=FlK29Py<logFXCRM%=WFN;A%;%n^^Kg>xj$k#s?H;Ct>&Mp_ArREHHw<}-^
z!_9!I#}l;ba&MgVH(mBD*S|_1Pka0J{#$!*)9v;N$ldXZgM;B_{BCMG+Vm_wKLLw|
zuYVT4-xK1`%#>Gtw5!mlrB5X8eV$|SfN#UsdvljYF=NiCwSg5aXfve0f7l=lOhO-1
zWmH8x!LYYzrF;{;E*yqzb9+{hB~WHIRh#5tc#e1EuF>WFOst?&;Er`JzAD}kR$*>B
zB^AA@fR0kOwzNDdGlGo+F>dCIUfuZk$TCb7D|-eJGq&pU^s`n;kPh^7KK3`hPw!OI
zT=Ilj9)D8No1j{?nxpYjSc^xIVc)lJ*K%2X!-0D@nfoV&TuL=fT9kt@f90RU9Npg2
za7eBP5+nknXktNR30dCbwHhB$HYDTxX_C^Pi$=1W-y=_1S6A0>?*8y<c!gOnq+h1z
zgt#^gTKv$_{Tg1LQuvZWSiL{So@Y(9fi3k=jaWgn)7LqcY1N_>oCyzJ;uBY2A%1!$
zJUY5&<$=aM{>BmG^w&=`!xcReTNgZQE@ghU&c||}n$|8o1GTBGmqklLA+mhBQ!#W#
z(iYzi#$KU|onSli9JCtMD~L}GP@<t^qp!cLJ-1z3pW0Hjs2n%uUPMd-0pn@t>%)3S
zJL95Jnwc-Wa8_>Eh2_cc6)t5EPpOA(C&KaX`KS`KBl`hF&r_DEwpGw`N8DqQcjYfP
zavq*nG7#rp*?z|Y6ZJ5cC;s=1v9k1&*iQ~{QWMUlT|v(9hsJ_g8Q}Vwurm4uXQe9J
z94l;Pyb`Kq1G>Vp{^|9nivqbWiRpH=l^?%COSo^NR1)7E9SGsLH0Ji#Kx}1>RO5~W
zTphXw7ZvQ(N>@;fLceJ>M<Hy?$kXu*Dga)8HGemAcPjeNxu)arp@gH{07hyu3t8X>
z3OUEY$1jP+{+lKWt!Vk)Ostq7mxi(N7G$?9Y&ax4ZlDXk3oBL@`vRZA#P=Gs$8T?a
znHH=D+fcIA!l=vzOZrULyTXrYjArW?9J4#H#Y9x<R*FuB9CYHR6%=j|w`;N~1E;ed
zZZMfpRAMWc7Le8^40dNi#)B$M5q)v0ZjP-@HX9jd;u-*kOP0A46@^ulDKnf71>|+}
zoh<yO=LX3>sXV!E(eP8iXhONLf~Pz40wQ4lwel)~g5*juyhhKJA`>CZj>kYi|8Ozm
z??#T6jS>wW>jSo8h9d*Gllt(ykdTmw+r(E6&E+$KF!Dt4qYit!khxhF_E|XS#A8EJ
z>4Yw_8vEGJ;wzaCDU4!x3GsPCFe9dKQ4j~owk1HGStRVMn#WJ+o}wA5Zy+wF;$Kg}
z78_1HI%k+D-h0)al(Yh$Bp!QM4s-#=tM9E1(%=9vKbh)<k*`ol`{JNG86qZ7XmZHE
zCxKIg2&SIw`+#A^2_6Ht5&Rrt)%vU5u|}g+VEZN<oF@>ykOyT~IPUNEJGgDQ84rf6
zzm-?Zqxp2nf6X=?Y@vig!5nXFzjYhBcS%eY@a);6iZ~AEs3$x_u2?BS&Oh3~kb;gL
z`*`%rx+R{M^AtlpXL?r3t0A~hdwih`ZpDHo^yxap_%LM7(7ueu9sT#!X8LXM*KxC?
z(NQ!W`WA7zuQ*6@O1rkWF-3k+&RvSSr+hC1BA*g=ki<6^1K7zzbFu!uF2r!l*oMMC
zF)@(3rxCCkcDZV~dcl~xHODR$DXLJe29{Zkhr^AH@9n_3#e1xVO00>v|Dkb<xUdKy
z142FLd{k^rD9Rrf$0Sq&)0)JLn|iCD6-;#Cj&{y(`ZD~ziO)Gtp&;yeYb1W246zHw
zvrR=mJB0Cr7xvksC~<`$AMSuOIluprmDAUEOdV*nv0g(j@bHF)s~er=ao&NEXiFS@
z#(p@AU++0e*&}2x_;jBV{IHzxLx$kNx_ZEEeH_*Ro$oeOSAQLQoX3En2kmpCo?VgY
z)Uz-JJvOYulqQ=IK>;#m_Oio=9Y#=V&8_iGh@bpTUOIN17+9-iW$$IC)>2c8#q!6)
zji$bh068-u<Su!8Fj8qX1o{)Q)#(`-S<w7>zcq9pcm{jhhtDR}zoHovyEK!A*ao)`
z;_I4#R;$Ty18bJxo;~t7$d_D>Y5z>Q@^#YPEt;W(cvo6$uv!A^LV&AmZ!kjPP3868
z(xOxkn-R!XE#TO380mOe6b~~5vf@j`rd1uZ*Ab(yrR>F_bi{KO{RB47B;FLrKXJ^T
zAz>o08K8Tnc^zkpL4hVz%o>pHh(O6mjP5HBD8MQfVs7-d_pxdDp@J7T$mlxYc)wum
z6Ay_YD||3s<n=#donN!cRW*!pO!Ei0huOX`%#*7>g|_KC-i6i9^6|^5?D`4~Q*o}~
z@Mn!rw?{}QLzjQ6C0zEgtpeu7!xJ7q_;cE0kqc>J633)Vw;ZN*eFnD-n#PiBFg>A0
ztIam~V{&3}x+D@(;(64H{4ML&jBW3h<>Kg;J;gW{rBh37=)02IuyN<|LfVVV3!NLV
zB_)*%7LQ&a!4w8PEWS5hEu*rViKnL;g?B7jUx5*3EZ5p2CZ-EjIe9#Jk1wQc*tn5w
zEvEZwateX6DaX#J%Br=<BL`>gTgwBq;&WNjJ3k66FAP||yfA(hb*E78kTKSQ)d6Y#
zmFhLGh!KvYsRsz}(M>%9Dh4oA17K5&7sR3UG5{d5c?6Hi35%!!((c(U^0lvzX2Zzr
z+ZD&;<owYX=?^EZd?ajfG?$)Iy7;nf7~Aqt{E-b;<vnSI&(xl7C!1H9__4u=1Q*EV
z^;14`;*_?aQ?!iP&rygKROY`Y`oui{%xs<($9hL(isyJ}aJPFFnn+L9-;(7G5S(g!
zd|_J`>j!gNHN_Arib?@0n9cRG)NQ!Wjs-s!XS0W0JmRa?h%bj_Ajg+1m^zdCdL*}Z
z4P2?8)z1^BTd2=oeAHi{X*9(Pm$biqa*u#OGr~~<w$xQluw_7!w0*N4Gkz*@6DOe*
z2iCc}l<MciEK)n!h6ndPxRvVGT2d&bmc^g5H2gA6&AOVOP3CYiQ^CvdATN&UQTUW5
z9RB@veGy=qR!C!s4Y1?KL&q`E(17MA6(M<VqbarVc5d#9)NF3Gf!4Js;<RwY_)>Oa
z)iZ8))0*%qOBhx^%Tnip*)B<zPwR{C`5UX}(F##0SuxhUzUfzfJoG&8V$&g03Jb)K
ztT4eRhQ%+6X9rcnsI{RSUQdb>EVxNTkUtdpQTLFovqx2wCFUi>u$h=Y`h7#XsUnv1
z#I(+}S&M$Q79}rny;$O_YiB9aX`igKEvw^qCI_A*ca<W&2|G|)b1yuBNlX&p&aeVO
zNl61xxT*lieB2M6Q&Lir?!`oH0;c}FwE|w8#Ef?q(zIohX~t)m)glDM!-GX}2se+8
zc`_x1C%JF%PR15;<0y=~$X5bxds06|3#&mmajK$DX~Nots=1EYT>TfUfmvcpn>w%)
zv3TYSedNIlUvAB@`V*^nvc@m88P{l<NOyif@8%;;a`q^%z>VDn`Fy!Gx#I@VP-U3O
zLPtVZx$-sIeddiDR|<>5MC*&C0?6*c8@w-Sk=&o)@yQ#e=DfO09J@`=pI`B81x5Pn
zj$~Pbr5jE0y+RgE>Gr&+0n|gvku2Me)(Ks72^uOY-P5_?#~x?P!ks{ktc6|p{cWhb
z>}q9AO&C@*!s`)#uL-eFz?g>efYyp>4=pit^%fI=c_JFlUmoqy*rnn#=@thl;0}-j
zSW+QE21{9-u4BJF3O`^yT=FCZL-1W2L{Fg&JiT!fcBh0)B~Q|1`DO)h{e5EFrr}tn
z{>kAnkF2aLISU^TecP%y^!~$#M*I+?;o8P&s(ggD&}J%1fP_myQM+~Ppnq2B=VVRl
zPRyQ=z%%Tk$YaolrGgacN$5s)!?!AkJx8KDt8F;{Yp^0&zpBpbD#~ySFr+4KE?>$r
zib_t%YO8y}!5<F)z)Ka9eJnnZSJL~$`b=+lvhwTas^G+sEwRc4HD)ls@9#4J-?pYz
zp@jUDTso&CLh}7w^hrqON#Hzmv1u`65^Fo;@%qszz`CqeRl~0JhAr=w=I3#7iow_w
zf=ZAjF^)>+>Eovf*vbH;o$Q=UY|nZ8SQ=!}T`scqggDU4$&;V)NdYaiD=fv6{X*`y
z;At2*R*Nicltj2ix_dYcr*hIMU?W5%AYUKNWt38>Vx25zet~|gYxaXSzmjMMvmY-n
zBqw(B$P|`X;WLqiE<A;olDrld`lnE<{(ZEkVJd71^%Yg14c4u`X}Z4=YrhbnlaMsf
zmEWuCQv)1@z0BXQ(^8JOSgPpNO(h6fSzMvWuvIPVgkoV3O4@r|WNjw0pHRtg!tQRe
z5H_y}Y}Gu_&$N6ld@7D)n4c;j>*AaKw9-eVfyv9O>Kbk+bkPVvsG1nkOC`;<r!6U4
zEGES+Tqle2lw&#BJ1UwJcPd=7@4zwBE_+XuWSU{bHq*BV;gu{L#*xDYL*AU{va*-v
z^uds4sc)y0##tv_O*j7W@O;buBo^sY+H7M$o!i@OyNZkQ3_j;5m~Pal`uH(BpEx>m
za5@dt%fjKI1tChq^c|L+A()>PFkeO)>q^M5R9<bZyxL(vgPud3Z>=jHx{WP73TH&J
zf5bB2%P9+0@Uw=*5e;n}xCeDSlO9hrJo(>aZ#Du<(tW{58GN4D%C0^obcEmA-q@`)
zJUBQO^}PZ)9*3}~sA@GNYSqJlj*_bI#!)!^VcUyAOec6?TH-}(&2x++TTH=Tz^ykC
z1D~Wx%}e@9;ZQ>;bjUcL)Rq)FwUWXa**E%!Y-h%93N1B@DnC^0(H9oeg*;JwSU4ZT
z_m+O0pp_a0?lTG1R^rpAGF@Jam*W+wy)7}o6Y??QnKD0Rre?zXB1H1%OXt9ykV4a}
z-3!{<{weGlGIu@{?}N2kP}{^;QBLBaW@Wb?U_6PB?3u$uJ@^RNJRIP!<uj<q;M=3<
ziV=9Cbo0iIFBg5&zB!5YIf)%JkUJE&B8z!45%yg#(!BUT!a4OS+js!2X36ai+l!?p
zHgXz@W3zjtq>MoMqEv)OJ&ex_u#F)Z6NAhfHk=5~<9H3v`VTq<DATaSfWq!?^$_bU
zD|%NsZ-#3!aywc`5wQfS7_5&#K;=#lwvWk?c%=gkCk|X?R>RQ_Jgiu3MHFZ>Z9GI=
z?yY-JG4k(7#=e1fLz63pFFSmGJk==s=7-Ci#rBj`S)UHuIA#9C>H~Qnh9(oC?Rniq
zxpFfwFvNIMs8=UGBi+G`S(jFj&0766(W#JB5N8)Ob<d(MPknaq3V^Wd35+qwZVO>M
zGGEYROY17Zrj#5nbcrgps*lcjkF+$_y=)$H@RZHPF7$g?JLSA}#mv!!vj~FvrB$P}
zJs$>~DtpJ(e~Z1?9WR+>WaH%Y%OdCZmd1%^tEhYEU00WP&(pkm)G)wMIh4CgOK7F(
zq#tlBb3DL&OeGSlT~u#j1&fV_1*CHY?SEC3jvQr*abM$O(L;wmNAPRb@wG``)ul+E
zqivnYhr=O(Bqm`@p^A!0&TozZRTespTaO@QO#W-nOuH()T62K&Y~06K{<ekgMz$<G
z8LV}{J5OIHL`7*dJworgGXV{pJ8bPHG45gs+H@9W2b{4<%?%ZbTfb@Y(v>u76xU{@
z+fOyNU7r3tJf#x0hH{X8xk&fq1+hr7a_Ri}^EO-8kiY8PFyqsDdLw<(?s)uI@5d|@
zm9QoSQg`6bG?Z4KQy!Mp(>bH4LQe^hSxP<>Z{3T7N6%`|WSd^qWm&h3(p|C?4k;8W
z-nQuGXusD#T*Qy?W6MpNM0ZhNs2+~VmzGVazCc4{p^CzeGh#p;0!I#Ki>05V5Ro8d
zV_IZs;ej{oyAIn}@no|eKD&r#1lXGIu(DMl6lVO=ZT`6CR~!wc`^Q<g(zXmUWo*Vn
zT(>}}+&`=ocN%4A7#C5m;@J0J-e}--7f}MD5ljE_(ZZj%37K>mT`gIx-egKlouwn4
zExlS#n>E%)BNxsf*m=SoA99L%;Pg8~RutnQla+VX2Uy|Cjqx;c3NjI&u~Weu0#LHi
zkE|=hLWNVPv*GrwiDZ$9bOV#+Bt=rKct57gluE&_Q0D;z%#-*L?h<SUE}u<Xv0t3T
z8;sjVP4&OVh6ebTki`#8=y)%qz!>Z-DgezI50@fh`cF36c>Wnb4i5tr(p7-oIq#f6
zZlMal>DAWCS30u|)D&+O+;{_cEPsAvj8kj&r~k8U&JZ!I#>bdM|3s|(u|@MfJk}=3
zx=DyE!nlC81;IEQHzY8`;KYxUJwFnt1ju8IPeR}(L)wl7VnvQ%opfw}03BFb?JH!r
z2&jrbnUQ>5F7K8`%?<Cw;5(gaWCVC}!o3L95qCW47TzN!0ufofJQknGUi^chE8PV4
zk{^cAHtMKt!IyjIKa1U*#ax{>c~LF}8<_wQalIdQNy^R56^+7Cl}^c!=tjU3%~3|x
z4e6=SNOW|xQO~DzkYHw~F5p{Gd}7ntvNR@>OyzLh($%=pWW9xM+L<d{7HFyRG3)y=
zcM+q}Re_Ux`1pi#06AW|nY0{Vs`7AfMP~8bDobRLqZPPV>}oz=DsJ0;kZdEssY<o)
z!v9-gn@E2R-n6(pqQP}6P>w#V8MX@FK&J5YTw|1l>OP}8L)f{K@%gBM7=AkuA3VpX
z#4~>|G3ggznkwuH@Szu|B@HJs(Ez#;tP^cOcPs)Fz51b0#nu))e4qfOf81dB(?5mL
z&tw5&Z5}|2MgaBjvw2)&sZQmDH^93AK=n;1L*a|PU%no)tQTY_UHv{3Z1q?nZ8Wml
z{M*OKNep}|2IspBTROwQoFXlg);0{YVS4Ay_%B+fs%3`q*dE=4DYZo05`9tz<Jf8U
zc*3H){<N~>GuVtzWLA~FfNATQ`<gLWYe3*kv-WS8x6}j*#8b40_8SWt?xIQI1uS(E
zcw{59mVOMh<?njz)epYy9XE&kcot$tbrqGz*tGsVyUjMq$(Zavh0}KyFkavuXC|XL
za83B-9kAiPw-!(2d+{@+6!bDjAd_kYfa5$fW-MP1H0cQxep)EM=$m`y&u;RUU{em6
zQ$LS0PB75EN%!hDvepCek|kbKcUa7BSijz}wO11UAqc7s0IiYN;t)`YzdmXu&7((O
zSybrYw2;mU=+E452Ha_t^@gch1pNfL^AxpkWuHSr85<}3<T)tvGDp<$6mbH>@Gd?l
zgShz^prAxN^I;haMH~DSOJ*Z3tgtp1gG-tr>Eet`NIwL!y>e*M5}JQv(GQ8Q6O>qF
z0Tn4$U=Q&ee<5_sG=%1s=xHB;l|mWGB@f?vc!6AgiUW9@tnAL4hl>L_I5-8Dnf*zb
zO?#VsVu%@M@ywMAM$srVl10X3UvEAn$2t+D?#jBYv9Xf&9McWp;@HwfmSyH6<}z>D
z!izwS6*&WVu%YEWwSau9KUW<F&lbvMdhXnV9AX`hvKOA9eN)&pOtKiLLcH-MlqhnV
zsEL_?0f-7_|ANC{gn=Xk1FY>7GMpr_a5*55)mXU<N>VWxcHeHT^XMe{Z*}8Hg%pfJ
zuMw<ptRtQ901*)p4mkuJ!Xs^fdBH0ZX1sMBU>{Dl4+7V1YV|@T_vn!0`8!D@mRBZa
zdAA^Dq@|@*F1~t?N2sB$&LwY&qv|*31h6MK6Dx2Wa-h*r;F&MFkF^gbo!nRrrHFCy
z7R37|;Q3XSaPugAcq&p%0}au%)d%ppDFAd=Byi$KbUPspuP(2h=&K^T0}`M-1fy^x
zC@6KJM1>q~C-~}GkmoAyk{so=;6~uZ5JSsv;eOCa30x~z?KzCXKa^`8VZP56o1C9;
zSwQB~Zv&hLi>orgo7r?uL4tA&5tQsY?p7ub%o9uRNFeL#g~l@L-1}e-brQDJ`F7t-
zj>M*hWh)qJar~~1j~yWnvW{~Yz#%9fX{d>bK9K_{S;b-Oc$NI(>I=N<P}0fs2nd8$
z^zOUbO)y#{fEEC&$(R{EibP5lA7CctMahEu(jKZ`I1peV<m0xrv4cF0*en;l)L4W6
zVI4DBrinUE1IBGAYN^$-1C`MD<OS?vybU}Dr<-Sfop?Q2BPI~W`}ieJbOWSod@pDh
zcs!I`4sHcm(u|^El%H`Q{*h|xE7CP*l4OMDxXRM46fFhfj)G7-R$?T<rHqX{eY}&w
zzW}I`#E(4)kC5dtiF<ewL!N_biTv1NgEt}v5ib$*697O^^nQn(co6a0UqXEGjfAmL
z+oAW;Ff+Nr%RkcDZvZI#oq=!+$uoJY0yhiE;c#HFR|_OySotaGR%9p%4sEbKF9U53
zr#xBIfE@b-(e6J~lB_lBqbG_iK-ETm)7Tw3b!&227C)E-Rn;TEM^?paxD-VG<b4%Y
z-gD4uS?B4E?<Ok%*ZrP0s<2m*<2o2#^FDyDSn%!@d$Y-*nMTnU3uzLvzp)4;1wm3F
z*nR3p0xE{e9(!|0V3DL?ToSnTkQ%`5u-0swBrQWXS%`qN5SEh#;&gEj+*@rhLNSOW
zMwXGo|K&7PVPxGfVE!GB>_)VGL*;r*K@}#pZNq)yXMrD+TZ}V**rpwW;_>LVEFn}2
zRw(Zvpg00c3ot0MGzB0yfw$@r{O8?^aUc(7U>@quE%K`WF?B1Q10Y$|?g@UQW@fbs
z@I}b5X<+n@!8Rpgl1Os5v%E+>7MGAbOMptSpp`Vl4kK8>%tHNbj=eq*-K-Lu>gwty
zG=#!XccJt;5lmKVprRz}bkPR`@Fq)vCm|mi@ZVy)J7;fO0^+FVKn?{xmZu;a^>Vm~
z-JqkR1C_INP|e%>e$jHUV!TpPQm>h*u3#D@3T@;v+tZ9AA2BEEU4a^TVj*!&+Gp$j
zxk>bnkTm+`a&kZ@+;ke^NPMTG26T*jjf&CrRELI1A5_5dtEEonXO`P)-#)5Q02LpG
z0X1sn1{rTUuXhD7J4rP-Q4s3YAtqYkqc?*KM0V@RWWEba2SItzWCATlImsxD<b%;4
z7!LPJ0@Jeu!tkPKN>~0_hBt=llR;tKx2mXpVIVGFk2{7XT0sizqbDmq*3=w0X8u?J
z1SW7KG;`9@l>(LTtv2872EA!^?p!<qE!nBpWs-`TBx7n?Gwgnm`^UWu3sOh4g&2C1
z4|DHG$1%(mV%V`ewKqMQd)_qFed8homM!f{Cr=9JRIRuNNr&Il;7oWrBvrj6+GVc!
z>9$?bc-0)oGf+-y9c*s7ITNfXkkI@RCWx`9S_Y7~M7r+Jo)-$8H;`YPpWlBB0jyLP
z&km3kMj`}?XU>8Y6{2NE(xot?+Dl3Prj5G4dN@5S<o;^U5>ysRRS7R~8Xs*3-D*?S
zfh9p?p~}+!Eu}4b+S>6bA*6$yKAVPVxbcA&!a1`9>1zp$*{wiO=CH`S$$7RRT|M+S
z-Y4ukoLdO?(9|gf;scg8@pW|X@Uy*3Q1PPBwXh8{xReayyWi!r=1SAHWfA$bIyRVY
zY=V4=0H6+&`T7FLP|enx>o9*r=kap&HZgU4BKSVk7P|fX@HrcZCn1+etBl(eI@F=}
z5K!c4G}l-Zub<b3t-plP!jM{6`1~Iv>l144SmFTE1e`;)=QY>X^+E7g%~PzQAbV&L
zRFZV#Nj{hntnwHmtPZ%*NUj0o%_WMs-tZjgpkgiy<mY_!UR?5s0{bgmuz_pPArV+D
zbT*gXPBG&4HQ^QJEffR@4UCQ~^m>lg+5-8sZ=~kkyINd|zUejs>|ko?7aA(9PwH+c
ziplyrqCqtPuttza68%t>@k&Y-RaPK#dM`o|@{6>msJPwH!&D1?x{Tt*3HAtspqV97
zA_?ZGvc+2Nl-P_W1cZn83YzK_y1v9P9H%_VS*)VgyXBEmTW|}pOy0SQKW8^L_i?oW
zhGw{DeXev!>_f$?Ti}vHHfsX>dykR~WmtZ<4?S5zjwtz}QgN6p&>>qmkv7D@L6Fb~
zTsILI9<xBPCa9}?!1#m$BRkmZO~`UY@?H|87@5=x;&8(CSvqazxS1RyAg`>fWoX!`
zQ*c)NRdjieilt@Z)A}TB6my%u-0&`i-x03j<=MGCglR&V2z)~YyA;*XF;=_i#_M7A
z6<8OpknE$-Hm|-QE8UHW$3B+=n8$4-;pq3SI5!D4RL*<^6(O6s!L42R;`=Np{K12G
zEdTL-tIIaVCgs`w$6oy0yE_g-CW~E*b6&I12dnkuBFtC;L)7q(Nn@cB99#!FN}SqI
z=70QCh8q8UBY)GFZs#vitQkTW!vE}wCN=Zsh~9=Q9gO3D?Sf-w1zf?m08feh>RySH
zrl5B6<Vn9AkO>$S(j?}wWcM4ChFG(dR!<s|rC%ZR3Z;6?AcIjs`hBVW_q&Yy@IFD%
z$`w?xLq24xE$b{f!Q@xOFrU%6Y5+0-qk|LYYOmb7BBFh6wezZ*$=lmszGLP5-~MG?
z8h+=E4u1ddS5qFlG+y^^IpA?XOib)`$iLr|o}qOs)pODH1Y>$so3v)+mv0y=e|k0;
z;s*ErSr)~6PqAc3)y3n@=Jb{!;%Wm~fMutseRt`j`~MaTQOrVEX$o<8gxYx3pW=n_
zl<WkdtZ~ob?{}nhC$F1eS*>Ql_y??GB5~IjAZd^MdL<WlevGUih|4nnjuH=b1(yXL
z52!Te+gM7D!>xsTj0Qpd-e33!_c>X;mt}Pv{>u5%Hjw#`BqaWRGfFpu<%TiMb5IRv
zN^$-By~os{D+^IbX3uW_@8&bdufLi6-+%l${ujf+UpKDAWgZ4YLZT9y-z-?`LBApm
z&gqaXj%OLqe>aI!L4~>#T`rLr02Gwo%f|NKj{}?x?r^aF*-g}+)olX#-#HDO>STd_
zyqvZF_m}LO(<QnuV;9&5`y9j)-6Hoa6tL$ejsN|5ce0sKV#B7EwM6Dge4C)JIu+iS
z=V->u&c@<c(1Fh$Be3ia7q-G-8(NBIhqQrdPS^{hN~_I1w;lI$UKx$x1A}wGH-sWm
zerWSuZ~UHY+Q;|!Y#3Rj3d{mR0MHLOraCK|oGgvawgcLweGcQhsGQ+R83FYNpi7dq
z86n}x-Z9}SfeLsHc^4r#0F3t4rQjI(Q?x+f1?8U|If@!QfR~!O0zZrc+rZQYWN3|S
zm-{|}O~Ph><KN#TvBWd3VRNl^RYMCtizRyP;MX5&_jZrFs$-04a6d)<nb#Pg%^8!R
zH0<L2;GKhAMfy_i9PQ9FgEiAei-dDS8_;2UV3}c11wNKBUWkcKYU7%XNaBWuRkT*P
ziv0}b6D=1|sFs=xYm9!01}^rX4IOdjY|np>d=aq4G|WeZbELpgCb9qb?8dzC`h|;F
zJzwg%z!GDXtj*;1e-DL1cXVwhXq9+ulOetpzhM7EP>BXCiCqfpND!jo!?$|DVOcxN
z|NAP&yZD|$`}bF-`~biVZG^97&;f?>!Qg*?&cUhEiM11df2oM`MVA$zElgrx_up?(
zfdByq{AutSX=BJQb#Io{fB%ib`1~KDNZ>MjqZm#!dms+)whf1JfyyitU9$vG;;%FD
zn^R#gI9VwM(*G%X-zb;p8W7P=px5N<p><$p*5G{zYIW(CZ_)n`9?6>)HDWSC@pq(E
z5EH6sSkM`78BAaL9`Pba2Fg5;&K~vH5~vSCrO(66>?E-)kwZSJYbYGAAng|<xf1y~
z1zf>k{?Lol0Bn)LdGXpRffruue0}NrHPZcmkU^)>6XLw^w3h%9>=y-<`j|&Clus2w
zKm`8dQ00Xc)bu$JSZfdq>kPf-CmA)C*1t&)zbup`0_*BwC>k`x99y{e?W=2FKzo!d
zu#&=f<S^{k5XH0g1*dNSJ(q+49xZHskN+0S1Oi!6D3;NELPV=+Ynx-&)!Cl?*_wI8
z$VD{^0t!O0$OOPo0JW2WhJS&nBxV5mk47zhoeU>F3A&~5HbQ3vqT@-=Wu-_zeE|O;
zFfb!658#DRH1p-=k;J7-^{z#g2MTLnjwD-+*IIS?B!8q7NAVpy$_E|rY|jF?p$eQs
z@xlLM>6m!umjh0NTBP5_Sy$kG<TycqmoA9{r5a+i_uG-SoYBlTpO&sCU_+>2x+n&4
zisnWNf}av-3!~y<y$euu3Fi<fKB;OID256wmBRasJ)p07v`nNt|KyS#imAo33J8y<
z5x1S+Fl)sF>RXE6V9UvIBSHXlmGQV50xXhM*8>ZH`U$g$!GbbYspAydjS!sly_gw8
z=@11kHNND(pF6*7Vsjyp!GWmc8X)`4ZEbA_uJD-Gr9tC^YWY+!td|l|SLqojNi&q!
zq9N5#Q{xP(IQ^nYMivGCbFzLI4<GBQA48py={%%)D*CVi7Luv>75M?60Ce<%z;uv;
z5yF6Z+qM)~(I}Wbf+|iL*W84bjo&Sb!YBY37|I;hT5aTQ6h3<TOiMS<`D!24KPpC0
zzW-!1gvh6CbK2U?07T<pAI%G8z*4Vi57q25I#9k5tPPBfX5J`9<wf8Kj#im)vt%@d
zpziY+O4WjIpvy?Rh5skhdF+oP5{i-hAps)FL30dnOV!vo1||=Y4O2DPrQ4q8C<4{h
z`53B$yap(BsRHpLhR4S8m7G~hwBBN66W&_Es2k5_8)Ay84h>)xO(7=A_;M0|lU@<|
z{LK9?*yAKYZVtgn07<I$E#OVM3zaM(2{Dq)18D||c2sNiz<T(x)*2P$AOMuUw>F)H
zI%>cD`hbK0<;rsCt8^gB1XPT27|J92Woc^GQC=xOwz*`RKd|d2?^4WrJVL8b$}5k<
zKm<u2KV2nsAbg;s(Y$^-6Vj7|;qvg5b=IP7o2P-HK?WMig${lqa}I;y&d~TO@<cN0
z6M+<0h=0DR2)2%+kLa_-uE`Yg?8%^a<s;CS25x;J1bj3y5y<WKp{uF+`x@SOOj8&P
z_Ee|{YEMFCp!N8LD<P;I5Q1>@u9+C0K_r!Uuye)~94S<NMP#r!BWUd5R@9h3Qn7%%
zfo^&L1O%4_^euh1)04q`;u$(Tk>mQ=HBYhSnW%o@Q$Z9Av&t(doVNg+;HD?eUwnd2
z7xPIAvK~uYH>G9hElY=btt4ylwi2?NXiFfdwAq^9sxJ`s{N%$}!kQCIg0=Vm2q!a(
zShbpBb`z&}2<N_8q($HH?L3gQ6jWt|GRsmY&?J^cmSsL){0X%@WLHE<8b9>_V!;!$
zb^&@!Mt2PK_4xpTtSH;4Z+``?_mZR$s}Fqf^bI|RMF4#oAkGFqMawaOlLEBxo|08x
zcMt|ghVVKuceY@cHS`R7x+_*Bv#ei#dSK%&Z}t2K-vGHhK^z~zkYF=_Vxk`;`zQf|
zu<kqSiwoTr94hKE=T&kb@Wzd^swaI#!mD@1HOPDH_DxAoHMmw@M#=))oS&W4Oy&58
zuADYRgnw&-&o%cJ=umcRYn$6@iJWeUzI@db&9QFrrM#t=i<?`^BO<j31L-H9&D~#}
z_<s%KTA2#)*c`*<%$;FTQ7?e#tIr);R>p!z^ZomGm9Q&&YXN{w4!0d>G*t&$)tHy0
zLGglMrLKQDQ<-g!qmtaG-iTW#j59tT<le!lJuh}RD=<ll&#rC^JO&RSJRrlYlI~6+
zb6toD{R?2>U*<>ffbo+Yf4#mEO)ALOdDfx1-ogLytLR6s#s8vLL<~wgSIlh^WG?tA
zNIDg=4;15$f(gRya2PBko%ipb--a-2kwIJxEYZw*HvMZ(I2^PWCc6M|nb~$h_o*==
zg(NZmGkWnp7nYX3V-U8gLVyavB4L0GvzJ%J+GURdQseEYIB@I`4^LuiSR_`bL)E84
zpkU}4xa5hD*uf#4G`c7;p*1!KorJ&^=2X7=z<s?3!|L!PSmX_>(&)L2B0*H|6eR}s
z1d_}!iT|$0`@gz-6Q~^5wtx68p-rg0Q5h<fxr7Fy!4Phwh~`11G^o(1+1xh8jUpP5
z=E2b2T%=9x49%rclIDRX8ub4iciE5Ud!PUMzHfbNee3_et^KU+*>bzOuJbz2<M>Sn
zk1@7KNZ7<9ilXp`rLTtZVatXDjCtQ!%s+GccwTwPK~T~v)eF8?F~k5u(i25F7OFx{
zL}hFMI!UzR+m*|>>Oz5Bv$iMLy#>E~L{{YkoK_M{6r=u19XAzt_CEir-ar&%s$oz~
zeAe?9VTHOe?73Zbv>!I_{HTfDow)~x8dmc{Cbjw3Z{A$OgpL@wct?kw@(A1$-{)T9
zQoHg$Y5F%dfzo6ywOx56Ty8R0+THj2QPTXO61oegD;4EV!fQ_F))&B}+go9i&`i)R
zMk((dFfjw1lLp0KF%BDkZDF^Fq=q{7g~Jv?6B-YkVn5P;cZ7pooh(~9|BQ)HhQB~5
z@Q4#%72;nF==&#Ic8w2bMVGuQ?T<?nr#ZY@0h+cVevOGE9$Z`A59XoTTj~8Bs7FHA
zk+KBi6-<&sMeoanYzzD0LdAimd!KLZsh#{naPi<bi$C`z`OISI%)<~}a+RVYa<M{N
z*YNftqGa>{X-GkINo)19pc!ZX33b*{I@ynk1NDoR_p)^h*lpz%tB@+Uy|XgiC4uw4
zii?vXJEGct6x$+I6%rTn$4y(W(eVS?Er%`L<^hIU=8_-`uz{5LaE&8BLASH9uZQ*J
z)?1T0(qD5iVx58X6E?cexou6o7mhbj9NO^gVdUkXdeI#2pMi@>2C{^UaZ9@1&Tej%
z*Vq2`tZ{YkXK?h9fbMAuFFLuKk8K@}9;MD83Yrw`e)~{HMX#>`8WV+r4NEn?svXjQ
zw2sQQpR4eui7}zPxmf#d3M0Cn;!LjB#fx`W^#H>*gnm=^K_1aH3<k9<$%mGmz#r63
z9f9fbfSobk2d#iV9033aB3VM55GmRuy#R%^5b}(p;`)^<cYsT${GIzA_&e2VghNA4
z8c~hn&6Vg!QLk@z_;NIM?Yi_YfU5dy<9Nn8myTkH#M}E*B7)tP@|JL}!{;2hVjvn-
zRX+$$Y51Y8^gS$95d&iYIL^S$$cOZpkVYuiV9bcYUY>@MQr2_85dy>DBN-+_#L-c$
z52?6TiaL;P%D!x&bsL}Fp`dnq&29iokHI<w?_V#$pgug$P*%gR)@v{hufmK|oPpkq
zr%{Kth=tU=gOgK*FhR7k;^YM=A>_g2*2yupk~JNhEEM|#uSy>we+T=+nKV8X)-`Oy
zsCBxBj_1!>ZE*nx(%<vTaX8t)gf&xpFKOR!>}+3ZtLgal(<^>$9v&%4Nj0f}ytePt
zPR+(%0*52>zHJ?Hk2e_z@Tb6sgw2+K@3iS+`?F&F6h+jxmG0+`W!=8LJV)9QOKgXz
z{K}ON|7PC3{t(I?h=Y(1X7gh`$~N31HH_X4C;b8{T6&K3GQB>m&B7zu1a+~~Hnkr*
zU*>Vp9G?n-85btbl{<7JTs<Tn_g0;iXp%DlHCc4wa0EOXwZk1Q*^9?B_{C~tBUAwM
z)jr$Kd3Gx1=q_6wV2`#&wcg<NHQ1V}EpY9<7_TxuhL54*18n)DPp)%w;q!m~(1}$i
z%OX%7P$`ch1YnK!C@2DL!xq}LpL$9#7}@fc`C^D(_ug~l$V20LDk-qzO^8~``KvYj
zQ6ke{dNdW#Dr&oVM5FJ6s*c{sm}wIkye#5UvFtMuxw5-`B`{q$Y+U&{bR~mf4y{W^
z`NK_k1TAOBGfq)n`&|%mtuQOQu=~7`byk9?TQTiXV98^7XLe=AF$afAX+G-jHO`}U
z2T@hETI$*oCMX^<7tw%Rz39<HY}*E2S7b$4+l3(byyfgfM)4yc7sMwFAeo0#`>tNC
ziDnI>v4a&{I$}XC?*(F9h^-8$B&V2N)2dT*m%>)ua5WN4Iuz`(zFWjh!&LU;2&o_{
z2dE9_hFlZ4HggL4rf6|1%;2WtH&*Fqf3LFPMz%Yeazm$*eH<4J)bV=|$>#R0?yM8K
z$tbu?&Ye@}p7$St20$};)pE!b2QSOktJl5p6Dx?$1-ixg%Yi*tn0)7}DT&e6AHMwa
zKTRSPh{u=bzd~n;mOp=2TJ_&yvKf$t?8T-5s7O2tJ0JUq&e*s5T8<LGIFV5CibJN^
zn>gr!do8uEr~juG;0}P4ZLEdr!LgB%darJe0U%;+<0aIbQVnLo&x?WE`x>%{7e`o@
zI1$AypxC7`--h$$<NL=okzcf@a86vSHu`c0Q=aYZ5_BHU7it*09+l0Hgv|#fboPTG
z`MkUe0+LqXDVMA50*abt+`If0KY^-4U$>N*hDa1P1oq4FHp~FUwQNf5@d{W#B@)V(
zC6vu3?794q9JU4^Rjm+F{KUJSmi@Tsu<BV5bpIwo#L%Kh+w)DSTX$HY&n**(0r0k8
zfd*lbg$ox3R)YQxDrpFvbX#Y4z_({SMpt>YVO0>%l0IIx^4aw_7ORsX5v;-?ExtJY
z^Y7q#R~wgF^|q$8xeI#ZZTLlLs(ZzJ<TyrV=o?OrMnw8u3{27p;M&Fl2=?h{D*oXh
zd1rG>yy{z=)17|V(NJS9MGQNs0e`~oUJR6)hy8IszzV^02_Zet@`Vex>}g)E`t}v?
zL5{nHAh!3+2R{H~R>N_T+CG@8Z-@_@sXb0?PD-_%C!%zgE?<5Px(LKn&&FYJHZ~Yo
z2!IDQprg^oPqL__1XzE$Wb}p55C$RwT8tE1dz$4NvV_yFv#sI7mP-bD20TV(t~2y3
zARHaQ?r%u7&%&t-vq(5H9yCx&#IW6<APGZ)ge561q}YfmD1l#}%G$*+vXr)ruCd5-
z4KX%wN9I(;@5(#<FU4w0B;JPBM|o030EE=jW3xy7RtvUXDhB-nNa6QlJ-`cumzC_(
zwt{IRqPGB21GmN?mtrJb!TBd1$sS#D-+;YPBm21zDJ@0~zk(=S8WTOCs!RLwVzv|f
zwoChmp>@1NGb=X4H9~n-030r+its9I3ndE4qZeH~;g*Tend{STgoGp@$|u!83a1m`
z6T|Jhc0r7DB6Zu@&dZ=BRvv5*4-aoavG3L2uKEV?^p9W8vfc+0mV~$f@(U7<V9(uy
zc7A!nK|ruAa1vw~*|T$TOc;Yxj@&)Yaq~j-^*GR&_dOeQ*K^k`=bU`!RZIDk{+4?5
z8AQyjTeFGDA==@%eGpP4G~-?=sTelsA85zD@>jAW^tE*aMUy<_vA{k8#D5B%U|C(5
zTxr_@t>7%R8`5_ScAP<9@ka;u!Q&`~@;h<n0Ue%s$~p{5=HF&?Y%fG_--E(-{QWVM
z)*IW@_QK2aHoY#Lj9#DGo>ZS?nD^bFMtl<j(B(eJs|oj}Gn`(d^byKWk+mt+`5~E5
z)>?w3mO1(5Dj{Is@a1#;#P8s1U>=0_O^|bddXh_q+z;R~r)UW?T5hOVbZ)<I(gsBA
zkd@^7_wQlVaaA#MX)8Cef^?3)j{8pfd{W+~bSLItrIAUyz4nRmlOF>yP+EYXi-eR&
z9Tivh`t?2vkqa~Dba!`4#)et2^G8OHp5pNvrnq{J;wI<~bZ4I(r*Rf+k@Sa~DN|<4
zB_{f#h2dGBgwuAW7B?f(7e5G+eR?5iZAF0$$?`rN`$P`BZ{Lv4Pg^|iGXDt~bO|_V
z@1SpwL<>XAE`-b$4f7bMQc-(ZgRp_Y8Dt&kAGmJtq=;<*3H`CZ{L%T%+>F>{(AH|f
z>vhpiu5HhPY@8Hf@RM2cE~S^YW#*1>B@eU)q!ER*BpThL6|#T{>;byIo+PYb>XSc8
zGv+@9Kn#?2NW=xJf1-I(DMrqx`@E?3=zcR(o11ZY`@wc_r8z|Po<;>s6eG6lqD|8j
z#S_Z(^JdVl@3iA$5epH7J3$)8JJy9EQcsr@Cy4a4aa+s~_#pq}`$eGkL$ivY^2O?!
zx40L%%G>c0W*M8oeHDw&n+NM?O{Ln+RjQycqe`<VDpuC~?`vY(bo>_E!pM6;Wg-G~
zTW&kNT`8zU>?$;4geF<TFUILXzrs~~-_z9(v?+Q@o26$ZK=th7uo#E^kEB<VWE7(p
zjT*9`s355y3Whm}P@}xRN0x2W8PP{;;nyJI7d*=(Jw;w)GzE|`v%-M;cH4{bUjhY+
zjoUg=?EVu1vPc{#&9|=+qHqh6K_W!k9`scB%%z*xz<CCV;?=zaH4EhB<w>KlLrv{^
zWxK^4<5O&G7fguN3xM5jG?>Dl0wD<STdWD4ffQUFs<0`Rhrq!}VdMm#3o4pus1j_T
zVHpU)NEk&79wp`Uo8X%u;%Vbmn>tZ!BVy@VA<@sL8xtA%xBhWdR_`;mi``hYYE>fi
zl_<y)3O%tw6Vyi@FmR;&;%Mrxm9@rcr7UBfF@f&A1^eA^N6m5DRjT*h6VAY1E3>JR
z9x(97HMSw-RE0W|B~A?b0Qhfi#W^Q@gfn>Ah)7W-rz{ErCm=+)v?w6BXrC`rANl@J
zl3rXR0vig^>_k9!zY9msb}V#kn6kjQp)*R-vf1#>WWtL1%*7U6&QN^;@91$S%)1B3
z(}X+oPp!7-n$MCxDR>2cq3?93BNOZ|a@U}NYQk#r7e}QJ<$qnGClKY=AMqD!#O(;(
z?am8>WmrT62Fs~Kzg2vn!9~u;sCJ*^$jEId?Wed7q5K%<wdumk%}>v7+lc?E;D5UX
z$JNYYTb3u=hosIG6*aC?LZSJna>q0W93p`n`MCg;_{EkPWv%Q;Vur*riWh&7T=%_y
zXTa`tb1ntWA^1>03P=!~b6gj}6ht{bqO*g)8H^~sJX&juOarooXy@B};_rY2<?~=P
zNd8TLCQ*#EYk@waZGwt-T5!#d!CzLAAq3)pX1bqPM8)vS86J5)qXk{^{na-VMf_$;
z8APHB+>BDKrQqIKiiws0l$Pd=jTH|l0tfVi7w@244wVuHzC#XopBHp(2bbk>*Fbt(
z+s1ZBv0)fDEZ&T+?{RdPwL2Us<g2>vJV<~72D!ZnR@8^^L<2EAOXoa6!T})+4Q@|R
zUhV@SSAsSXYgK*8!iC{gLOIesK+WkfP%jTc6GQgyLpqBONq;uJ70FVeWITsRL)PO3
zuEa?lqhlPQQl#FiM8tvgiulkCv81DqtUR>k{gyN@6mkvE^p_Qf-uB7F@r_rm2zvWS
zvNeKJ1x1RACWKUTwzXM?u#>m}o>p&_^}udX?baHHZ=miRO3o;B7U-0>QR|FJym8o-
zEMZjyhK}k8r{IGh%I^K5b5%V%y@zDeZ@rnuy~9gJaOz>!{BI|XXKWuo*-~<wpN>@X
zjJk5Y4=0Wmx*d-W5VczVyndRr#{HyozJb=y4OBH7=J&U>N9|!BkJP9*`e&T{{%l_H
z%a=oLRkywE_w#VMCGp#-H)mdnzsp@4{D;No)!ia<l-3<<Kd5vSH3me?dsv^kzsrzd
z_Gq3YT0fJ&`k(;OdvxGWubz9N&9`cYEMC9O%*rytY^s%&qWLrM6JtWfRjg37z)PWv
z#7bm^g@-Rh;Ef)7<V=(lz`~GgWKdWyCo5}(sjLGC2y)4`CF^<%?xkh7s)87EY$w#4
za2wM!N>OMuLB;m6vp*(2{w-?oNEDMhtdA+AMo0hs(b}g8T9BLJQGtPhH#+3Oz@oR?
z%{HHE#3bnjJ$6`9;NZ)X=0nv4JzX<~*1(~wVQzk33EiEXEw-*G6|qq4rF2Db#i59&
zodh|tVt@~U+CbX9^lmkZ3UMZ=j5>3`NgyoX4p#pwDcs5$=M+)~OfRivF!E#INV35(
zG4RFDyQ<?4H5RFChA{}G6ta`wT(Ii%8=b7qox!%DQ&M0?-wpN503^@x0|NuTPT^K9
z*ljr;g9Noo81rdW;w1_oVu+qZof91T{$X+sgBAx4G=atu$U~>HPfsrz!pcP94Jaw{
zD^m=ls_~W)uEqg_fGgcYbm2AF!SELA;WcXN3Zh0?#klCcPx6W?ox$NBT`#LaMyST(
zHfw2WUKO{(g|#PzK$HyB<v#KZRCzM)Y;_&>^8RZ_IcC4)w2HriFdGh62=Pi$kC{5`
z!AHu0(07CmX>-*kddGeLnm%Q&w3;S@21s=~gO`VXlkC){xAGTPA%)-fauOS8@D3Jk
z;(UKUFup8DRK{Jap428FN}G}i>dZ+z4eS9kKKkNArsH$*<zsYz#{yUPTX>UOK-v0R
z1x}i9lBKuha}9Dq$wpLpNHlQg+UXyYK<n<_lQ+4T`?$&)UJ>9uROR7*HPKo?-UA%y
zE70s9T3{cG7>7)ZD+5Ahcq?j-6cX5XpS}8pt_$bW1-Dw2*wdf0C$zn+`<B}uzAIw&
zkT9eCiir@OLcPKnTXt5+;Wcv%@*c4B-Az+270ebolg;MSpFCV6*xH)1OqZ9db1g38
zuMqVhh5LvWf_yYh?PW{<phR=VihfJQNAf~^XGRVQok2xG5=|>O8{iHhZ8-6U5Hl_o
z;<E-JIt!@$!kst7m`hizAhZ(s(UAb9kQZkI&`2<YLHbdG?yH?3$+wr!m=OEXIX%7S
z^n`p(tdCR!kJry?0Qka0e-PTo0GOkv8dpp#Kb=$ep@uv2L{43(`j!O#*48!GR&P0}
zepU;GRU-7#Ovw%Qi!~&dFE7T<oq&RR{rm@0JX6kmuCrBdeVWqyQYuQ~CDlAQD~rRc
zF?WX|TNDvB%+h;S4J1y|C_{%@z}VPg_(SP-!(+SI^X=$EWwf35NgjvY13w}Hc)tD-
zXOOzb8&m9h5pvLqd9>5)|8RR%1<}7kmAaYPy)b|2lzYeA-Z>#4l(tWosv~EiD_+bb
z$`l1S?!|%}>1%*N=?p^{SU&Rl78t#Dj`to+_SVGQob*<Nffm&DOnG|WAGSaAPg0&X
z<8@xu9X{1)V{d2Yj~xwaRyXvRS8F>1-Zeg^{q2m&sja0v+{e2-*Y4j6E@2W6cjH_G
zo*qJDS$e^C9gFWV+QhK#!mVBm^=HPfU%U0GI~TGVDr<iv(G*@!ST6*)>@mVq9B%RX
zre4*hP{=J|&QkJljqv*p1bGQUHV6p~^PgP^w8RoNVS%ERRM4{a;(bRYnUpj9=Ell<
zIZjB3s%pENiy<5SwVjKmpR~o(Jp6PvFHefUi4CsKV>g$+%`op_X`xSgXX4=PJZjHX
zIeC0WwZH|gfIS`_9?1r|hBwdT9;s8~cdM&N#T^t1UY3aNzuFcBsyGwE$ByEMw8p49
z1g~AUWbVcV2R9x+x-HTnHa@<iIE&tPeDxr2L2!Sdg{x5w60kPMuIAeW$B4f;g30cw
zRlaz!B@;0ttT13<MqN5yPmD2UDsZLQ8L9NPM_pevd_C+g&vpwl0d*0iICu0D8JXKc
zrn$yMNB1Bsj(m;+4zIrtd(8!l1|oEyuI^3f1ss8kv8_Uaf+TVFV>ckvWQHG7cu}cE
zrKakl;6<v_NhzH?Y{U)S-yPAmZ&~i55QP3Q5kKMqT=92=6-qF*4UVYpZ5)OD8Bc2l
zhUR1(S5bkh=bRBZ<f+Nc=x*?GUcYgp+#(2tHDsBQfRceM)8A?83FaQql~Xnix`e4B
z423D%9S)5-*l>1YZX^KH$Bsx%g(AWdk^|JGoqydN1GSoL`5yOP&R2@g$S|OEACi<~
z*NJ@iaJTV5VSo(u>(sg6X=HuaoQsn{3+{gGJWj}ZCkX*6>|&73m7d@AY;cs&t_b=W
z=G+BFVWkyFnF>E~f|~=<V%;I~1f6m0)Z|V+qeo|g#SvwID7~F2(<)KvfZn+xE-Nb=
zh5TmD5gZ;48_rjMn{s$vIFe5Pi0-$+iZ;-M^?<Vb)IYdSTl*k@q~eVyi@1;b;JjHL
zKfyORxBiM%AV%~2+3a=o>ecI)FZ1uy=dMw@<Rhr~8`p|9{5$iPf4hz2HtLzFxbj1L
zw*#ka#S-u_6!_<tYX9SYDI9JUs3pkNDkCfV3Rra>L!62F0xRyg%2TR#-~d8m1aptH
z&|U|J$IoYQ72H!lQ_b$Us#bKZwlkS_CV&g8)ULWuE)Rt2YjX(SVC!3@wLP7mOjn*D
zn<9N3`rF)z>wy+N0W%%qNI6K!0$5f?31#%Rz{tR{3JiHY!CXzrcwS#4$aYaw73b&g
z$3xu<uP{`&66~sO<OAwZIR~r`Zy{pbbs+@gw3(9XX$6aN-eT9?S#;sM6RmkC{Vo3|
zKReGG?;5Ytjy}d@Z~oIqu*nR>ahT|E(^h~Hx4}T)B~vqj^vLxNqf9<_+L+$dfQQ>C
z)X&n+u2kK7K(qRA&XkHQ&vY;-=eyD{^=l*L(#dCinKIlHp}Y_G{`B?H_dN8mftDa6
zbP#nbc$MZ7ZDSa_8>>5BEehGIs(PA;$8NhZ-CipmV$(R9<JwB!SN!`&qnCgVXfJej
z(H(udP4jUb0o~s{V3W;JO|E=kGH%8GQCPL9j@R|LQ3p0D4OP|Ws>$mxY)=V7G`mQS
zzKX$k_-sxF3x&HA%wnEHUvf!Sj(7Ld7gzF+c(&@-7VgtFEQ#`*4(~9ecKE$QUx5W2
zkvfiJVCaXE)x`MoaU6vs9&QI_7jj^9sAi6>51yKgwCyM`JNMCwC+}#ykYxsG-|l3^
z!ykMQ(|1M)sS@<%qtnvOWsiwIH2BNn7;XaKq1tAbCxb!AE}DfYYtBN&{{H^fIC@a!
z)tLiBDFm;LygR8l<0qtl5U|}@RE(-O0#V>3Mgq7&3Lc~pMS}$2h2z`C;WkMXVNilX
zviYO#y%lRgOBUO{!!+ldQHqSgZ{z88ZbFW<jQQWw$tnnRoP%If$46!mhzumr6~N^(
zoa;TbHND-&#)gy)`=uj6KM|r)Fxx)k4*a2dBx*v4U@zhpldSsjY*A2eg19lAQo7KL
zP*xn8r@8<WHn#CQ0Y+|22<U9&hsG<gpfYo+geE}<fZyo-X~q4)tz(mC5O4?qK1I!N
z(Ey*CHt`9o2U4BI{Je=)Pf(+c=jI}19LR7DfWttoaq<yI2w4t{oUJsbq8)+ZVoW&P
z`Bp$qjMBRhkl_3zSv5_NN=RCt>6cf3m&}R&iKC2~N<Xfk^YkfhsUn$u`uejUzLilU
z(G)9;$RDd)aBu?cVX}JAsi?+IR+Q^>PG8_pHX0Q1rn(>namjS`!e<IjKi*(018Gy_
zmM`J=?^_}Kx>{pYO2;rg?bFY#_b$f0V|^O-7R)<fiNh+ASlx$k5tcaU?-i!UnhIQ=
z)QUdLz$brv=$cR#10rx4qy>n}`t$4Z`~YgJKmrJYk^TF+ZTvCLEoAg8_xvGYBZ%~(
zrBM=3)pqW@pd&boyoNP(lgoh)E@z^vIj^GxCvzq=sT9|RW_?MNM4RNYWksO1pH(V$
zzg`Wyd>Z<LdrD`?TZ-l09zXas;7KesPnq`RIW#r}ci9H$dQgQDt_mRa(KS-TE-F$1
z=l2UIl?>EgC~BrUO!&-(5I)pppKhV%=KTNc%<*m)^Am6Q7=mTG87|z7mO;J!kFMae
z?;4>!yCu$~TK;iXc=(n=<&9N+r#6~|yo*o~<DYsW_k!>})GuUha6?}M7O)q-NitEx
z`*&S@?%Jc9NnnV`nKFx|XU~6uJjVd8O?#JW7&H;=6dBn+We~;HSyD29@Ndbe9R4s-
zIUkB22jFXlcmJL*Auhgn-n?v<*|>**CTSJpxJvu0-PxsCgr{lA?OlsJR~>p+cUZ^S
zZ|Yy@vBw&SZ&eXPD<){lIEo4JwIC)=3!~?dNE8Q<;n5qpJ5RoKOZ3HU?Mn*o0Ota2
ziw*W#!WryfxCm16)FX5U(v9hS6WGLaiz*voios=Z*g;y+zZJsz(u4G175Fp!aqg5X
zxfg&HUGd2LJSOYLAZ$R=bSY*SPOo;Zv?YWl*yAhHZq8`6dgz2eMmxGwB61-i1r9u&
zlIz;-8jrGvdQVeNBgW4=;?YsxfkPS0Ng;$%6^WIgyeQEM>cY)?cBI^by$_1<Wr#1j
ze*L=ML(|h_sKN2q9sI5zDYbGdd?$m=*m<@{KGcQdc12K|ui!*P=P3^@_PJiRY0n;(
zhf+x3ty_{YTuqbC<_L%!7vbf3JNTW^<A{CC+Rm<{a2xkiWWAjV37<USBs#*G+B}<A
z0JG2Dub~w3j?Qq1Lz#Eg&kUcQ;PzsmKU3qa(7sBc(t>3-!lQ_+CbtvqrD&)g<*b#)
zDJ|X%wq|Ze0?L3rc_U$$J~u0tK?4DJRF3Wfk+9-c5RwA93S52g5=0^pYmkP7jIUsI
z{DdwZi_gC{tvxCsVbO>7oQ*+Sn?N}){?L#k;*9u}94>nYht<Q&4p9J_*OQP|p(IcM
z&$s|@({jgK>M+`dgj*ez%pvtrT7v>2v@WGdYRV-3KFI}9*Z0urEtQw=&scGjwmflE
z)SE99+qQ!yV})V8yQE#p6>;AQcAVl1QJ-8EfnmdVu%c}Kv(Ncesdogk#~PC+eO}j*
zC#7{A&>v#$xMT|?qpRY3;u`kvZO-1gq<zC`U;{lmoHECaZ_)I{XHT()5&OHVodOu}
zrP8_aX^j8jeoFBtSU<s|VHs>zwh`f)(!Vr3ZwCIY;W_O6pBtW8la%&9^_kr9&xaQ^
zj;ql~86+n>rOATkR8Z887e{js9E&8{;8ywklAu%G3uPJB4ataM>})zQNEHay62{TI
z^=&{O4RnMiRO~F`TcM1jUA!3?Urmmgqdx}2%};5B#U{Bo2!&1wCQY0G=vOs0nQ8&D
zEcu$lGeR+o$ZUjBBNE)QZ!cglWO$a0Z(R)V0WAm`o*7=kn{BYw!8~@8Kuzdxn$e2T
z`H6pB$1ZzQbMz!(<mdH#Z+2LLJp9pI0H0*pBAIm_x_XwL?k_IQjX{qBs4)tb4@}}J
zK(Qg?@OdX>$-^fWoKP#;>*bY2C_fsZ`_;D48uy+z9@+@-nX*AKlQ5i^B@kU&jp}g0
z)0awu>5aMf{hR*4jLeeqa!XEb&uF)U7fCCCd-L;V$E7fOu`tak4C%+`mvP?>009ot
zKe$`;!R#?URI)P-W7lG-2FHxpE47{47+g_upRs$gqURi59*n^-hd!`}Q~&P880DS)
zw>UXMry?u*zOSW>Gx~ZO|Bq$k>A&0?|E+&X)vOIF8o>Vgh7<T_ii)lXI3NF8-vOa5
z-wqCFmj{^$A*1H#8lh<nckAj!(47t(C=Wy*34?LjO1JS)?E)inPzYM3w)%6~5$%q2
z=I((tInuB+qF3R?ZwNfO%;j7-P~o&@j)yLn{%XFHtwNblEdpp$j5q69h<~rnkxsj>
zE~mD-C28n<OFcT7Ut66!cQ*WAS{=M3zqC5g`p%j)D^_Z}@43<bR-8}+u*w|l2XN)r
z!C_R%g#B0p>1KtY;A?5IJ|Dw%xABYXfxvK7DyC_*VApV1s+Ra4>==F8jQ`dT_WyRJ
z;>qX#fddA&0<uo;A_6Rwhw7$TTUzF0pJf9&-qn6DElm&F5X{6#K=&Ynah=r|0iK59
z5r;&j?H{~6MDRDqCD-iPwCN;yw@Jz=;un$Aj`%=|A!|lad2zsF><#Lf%9FvOX;Wm#
zvGt#LGJ6+$g`{K&Ui$e-%8=7i0|)ITDNIow`&pU=h64&wLOp2(xEk*BVo<7y5c-gs
z1Z=hOt$HBNo3PvL-nHwkYVf?#XXjJnyJVI)ie|!G@ST1{#8y>R?MjY|i`$1d>J!<a
z5b<$h1SsD#*lWOw7zPr&-}6(d2(N~4>n`l+%@8*3LGcdtTOvlf$jZsJpqI0K?1?@H
z&SVK7L$TFeW4*dc?WU*8tPo2=uE4A>7wwxuel)`{eyzAU36jjc=(QlQP28W&jd~26
zFt+_|6sLr!G!)s8nawEZfB=LQ_WJefu2q1w!Fz#DUu3FZBtx0hbcOK!H$D3YbW-DW
zO@I1pHLr`m?$>I5o##Men7>9c8xjCyEpJ)AOiD`2$|{PQp&V&bE#<Mb?!Mqd`w1)s
z;6_Xqa+51M<bJ8zIXOk0{acsQ(1wJo;Prp4+jZN=KBUbrAl7Mv<#aow_ubxgFuf9U
zope~#l05W4W$5<3Appvmm6YSKXGb{(p@pw?_<Sna9n*SHl~R20R>MZok#D(&`90%t
z!BEO<$+Q<Mg}?$8My%90-|emMxJS1f>?2CTNu>j?<a4A6Dm`Oz*#5W?{+shbp)G`o
z9<vVdNuG>%TYPxIU$*L|rgz0(HFhuI=RM{9UG)DQk?;bixFZ-x=Q2s-ECcjrzQiQ}
zi#;<^&2XNHlo2>82#Lp-v1OQp*s{t;$|2RD=hXwn<jU&%wUdtrKdU>Ozv!N}Z?BU_
zhvpB#len~v-d`FApGWjs#$zzmkH;oL$dM}Bu_BXV+(EHZ4hbRQ7_b+L9Sd?2%Q0uV
zcoZ;3oSI~dg4O^|$GDrT53X84Nu>D7-zw1Md_1q@Ygt)A&qUUAUY=*l>*ie16oDTU
zqW*2Dg{_P1C`J{|YmsB01elU_b|~H8nvaFf3#)`;y~*~D@w0FB8v%OmH8ia5NP`^{
z*A)x|APN%*K<jNCO6O|(OZq}rfY))A&>gi;xwX#2^ee`%0mOt(SF7qp6HjjV?x94-
zvY@DF!hY$Ond3P{B}kptcLDbpia|iWtO8edUVZmw%8ChG_JXI*m_o^UH^&x-fCT$g
z_S`o`?(qPkAyu)ZTrwD*RG1XN2{Wq<X30Slfwe+E8QEA6sweuzG|55IFfEaTu4C(O
z-D{}gf_VU#Blm}~!qX(I%{4oL{e*j;j)V3W*9U4-2Uyq))bC&J&-Pr^wj4&-(Ykl$
zB-fMKVr8oiy{Z55Qs&JK<6Q6ryOS>}%{oI~cP8qcxtG?gKlU|D+zOn3P)#Sr4B(1L
zAj8tL+cs^^n$QH#cAH-qfLZ&7N1qj=?IKnJ2ebc__3y=OvC_0(F#9|2@8rHB%zp9v
zPRoI@YK)ON8}|z^BTD}rEC_}QEIdK1)F8)<SqP|LMT#<*IB2IqHEaqnbk=n}ws^CW
z{L3kdtJb1wZQ3<<5k7HPF}q<92i|~jMKLH8yDTgJD*~UAfF?e#vAY=(p$j@4jta6E
zTMmCWZcEo!gzD~K#ix8cClove2r$w=NZ7D&JVRHI)D?0v8$AiO(t)=wS$`OLAz#N5
znMDG&&>_%_B0~ESCjb+yKr6E8QKLprF4ZtHiU-Al=v0aZwJpVHAWP)mQ&cn&#E=NY
zKtxVT0XMe+)u6FAz^CT8Pya}3lY~`VK(dHpWd)jJq}zt#lL$lsibQliWvjrWmItXs
ze|fmoQY1+tPdOD%t-=mDl*t3nS9sk)L8~~}_Lvj{K(q{jVZ~fMIEKH4Ca-*bY0r+H
z-@xHmA3BuyQ=JYJ3v7AJ4z9Z&9TkuOIG>4KXpgOJ9H;z*zNf5p%DeB=$}j$e<6R8@
zGhKc<SZOK`Hx6DnOvT(#%!gY=gOv{-RO4s|H}18)dGa5a_#7wLj-KeD{~5pJ;NJc?
z8_{Bym@`b!#!sDCtC$_EXPgc^=EsaA3n5r(Kc-wV(MNaf{W(|=d;f&~nN6~MIn<@%
z_#XpebbU<%!-aG7_OC`4w=1HEEbEd%H?0Ei>YoTYt#mEb-^8WoRnru`k-NYuBx8A+
zW(^$ZnSlQ!nHHmtX8@w+e6-{O*TFRaZO|BUz<!cVBqRj<yKF*lpzPn;kQhwG<}8K7
zYv6WW8fC7LgSV9f)8kY{sf*r}YF9m+nPL9?;L84kG-7RwPe5bn&o1PDNbB*RD^w~=
z_4jIPV@B{c@MxHGbR8t`9U!y2DfExZ3R`egWL3;Wm>X5A>@uSmOiY8!$}wdaVj@6d
zi)nH}^|4W>H{J*zANdIcVnVt){$zI7BdY8G>5@Ey;#IzV`{pYL)-7wWLlcc523*8K
z9Y~}!#ub(zf-eI4NcP&dK<^#F*MaqR99%p0IGVoSxO?Y3`jP){STaeDDi1-%^(&e@
zx<BXl^LIHHz!C%r2C!EdGB-mjvx;vM6jg<=YM|Mo2^R1us3xuhJTH#;|J50<5&VQC
zCMZDvEH9N&v#m<m4P2Wn@M$AqV>^F2Hx3Xq0l2k>EEx(NXhrfh$*Gtu6z-Y69L-Ac
z?=4CG;NgKa`<kOkT8fGtj$Cu0Ew5Wf^|*}v_B<Jen8y@{{fSAbqLtMaC}3D&q&``$
zPL$;L;UB&YK-ub?SeUxNKGtnPiU){JSH_Id#XiGdSZpcYi_g^5)rp;Ox%Kbr5~vCv
z;Sq#GSG?W&H}|~1|Hk=$yUY0(iAiMZ5KJExJg?@BhDM*GN)3o?s)3{0gNV|Q@dkNK
zQ?O$kj0^EV327sYO=JQZ*(ven<%Ufn3rf+$23Is1?-c}~ux((gZ)Grf4_WUTH3?4q
zO8&?x2)0FXQUNJkQKXYl9D5TOlo(D%5oH*$5y2;?xz^wUW{)(Xn`)2OhgB5}34d?a
zah>`d6MJTY`XiVQJDVZv^5sxu784}<y5T5@xIP#aXNZd0bJQJkreZIe^f2qvx>>j1
z3*$EP51d!7J$tCNzyLFxhYms`0o@mI5ajrV!WfQSvdYtt4M2<(H-;-9lR0zGv16(5
zMLU8pLYB`GAl#sx4;UGZu7*&*`Dg<2HQMsmXSDyu!(A6L_tMKHe${r#gd9SI!L~|9
z9w?&gH~Ovr>Ko>NSRRQ*WAl9gz_Sq;OJFsiq{g`JR^t)3TY|}_`Gi+}%IF<OT7?Y2
zT?>AoWHtr5@aK69puTUvpDP9>*!YthWaZ`csRY9hyO8$cjVJ4O7F`3wM`s^y7AsBe
zW0K;|g8j&FTfju^y7_FSjGP=6!pU`k5&Z^e_)E~`Ip)rFId#_E9@;`2m=Fp>;6pB2
zvdLmFD#gMItgu*DhL9-*18rmDgo=uaT_xiklaWb{Q~O^BcaF)4+Rg}6h-6}pieiE;
z;NVSlhZoDr?%R_WIvGfa?!WKhi$6@6a1v#|EH1G~#>{K(BHW<rQfM>suaNC*4|?gd
z3#O|7qZa8O{I6<}CL7~Hz0HBj*u|K8Fa~9B?<mp6cp%SRBZYZ+`(4Ad;Jr*ImWgA;
zsfzLxf%k%Ptk6h5(^NPmV#quG?|F9)JV{F%_;~*3JL-<bvtQ^85PV4{7_qIldO>2j
zLDen6#NLtl;RlW*=p$s!Uhq+JZ(YM3{_j;{@;xs<0mQ$%ZfwJ2ByD+GsR}(kHXtZ;
z<1u3;=bkOL8bGrVpFdlW4G<es+J`KRc9X(+31j$b)6}BoVrbqd;Gsw+CvTdl(sE|n
z$8*a}UAK(wMQta1lFtKyqhgS`2QFZ0(7k^&dY3{a-iu&?rK?wWBg<>@k}>2GYzM+D
z<XU0d1b}xRdh$FOHMB3$|CEGouiuSvu`2HxAEo)!>?h;K;>8;OQF{SM<6UKqj2eiH
zRs@@rU0b4AQN0k}u_xc2ub@0vn)QVTGSK1jBnBX<Q|^+nTk?P_=g{zL<$>E6T@8pp
z&v1emlT^z%OHlq&CxlGu|E$Y6(>OG-?ZwYUl`i$a5oV~1PUPmoVW<lsxFTnD?L#wD
zG`w)pqGj{u&5KUjSul1R8FK%!d;JgjWy7O1h7RiVrJ%6TTR(uRB4!8U?&rfp_3oNu
zAZ4n7LGA-U8r17f#bzF8B2=Xxiir)h$A3mxaiGQPg!<BcDZy$ShO03r!U7l&{=o*!
z`cZJRKr%a?azw#xGFdVp5&>l8lY9o-aR*L!?C1*2LgZzT0a{m|KYu*l^L0fsy`7lY
z$_hijhe1>o^aq@@L)s3nnLlBQA>Wp+z9WXI7!Y;^kR`bLaZK6;4WyJTxSlQzw>mTU
z3Dx1i0mcK3R;9J8S6@{U_Fc(R9D9%tmT-@4%#8mBzckY4WvE=}>8v%b{r=WPoQZ(U
z`<QN~QVU2|wBzboq-Y<JMQnD+ZGV4@BN8f|W;epE^bCI*7e9PlsXDgJFv_QMhMLf2
z{BM4FEw2USc9R`oIRYV+eta{Viy=-}pCpxrQar0S&K{cL_?BWN3T|=fG{WzZ5s>4a
zg6{-RGpX_gURQ1HR(tQkTa>m(!yq&OBfjtxO+Yw_b6VedMJYzl0j=IwT5|;%ZfWs-
zeg!=jA+R|+O_Z3C9}s5{7J`U3bhkIjgG|{K0IXLkOXcg2>2nw=F0f}5z#QOJWBXH*
z;JQEuLOh75pvg?ql?SjnrbVzV^@LZ`?Zfej70W{qZ3LXbCA;DtUC3U#5U-gG74_1R
zA1f=ezC6qoDZ=JfRJU>vBg{hJN5M&B>7wYliXUneNQ$AKZh?BBc#3>gD2B7`1ZxFf
z-DNPs6mSfpA8-_%NCP$fS!H&E<0sFA5WupdDiy&T!KeY?_hV9~F-7|kxC${vl2y9*
zh}ZDDks&|Ig2MEl?SKX01n`XDu8E(6+q5)h;J`BF$&AoNt=mV+uV=wqWxN-XpscUg
z6Pk7y53oo&3NbHcu?>U$E;b$+(1xU_6@$c~Wm&lncaEf51Bo#4>QHPY*h463Z(aF~
zL@|_}OM+|A^8&5F-Fq@SJ=O6@P=oC}yMS*a2@OMrJ}nBG<Z5=zfbrn`j`xfDPt|j)
zsJmqSc$hx$0tMom5M^UjCM2Q<)Hv&5u#&Ll`2fVa4J4Atc~724Dx1v~XoV^SAsJFk
zN(jA`gn}-uIUGbf4T*kj{ir2{v0pZ3;8XB7XlWETY#lap>AMIuNu5S=R+f_KT+dbc
zN_c}*LQ36g;vE{BqsP?IY~i*1tKe>B79z6BRO{-#-0_SU-I7K9f4$>oH2tQ~BAWi#
zzGrZlGU_Fm5VM}w*&4!^_zp5G216$*F>&vnyeY8Bnf{dq;9&;~lV;a>G`~e!qXZL=
zVr9&$=z4CSlGv83?jH|wF?x9B_WD&9$Onc;LHyT(b4&|3Fh!#yB+b{h>FV)5&h1`~
zlM*X}$%6f;#=;YVnlSGw@uWqL_gcHZ<9R7$6l4g|dk}kIUr3cE9`IA^##T|Y5_t+G
zp&(!og?=+d5NgozWaLLz4}bL$gV1D?bC~}Vg08j~h7oj^+kvE&LhJJ0V)hecgtXVE
z#j&$Y4h{3_YwI}Sd7azmc~t$!at33WVWjs3^I9QZp82IA3QpTmFxHtlmK`}>b4nnC
z;iHs`mI8Yv6&*Mzsq9Kj4+84AQaG?NM)A0c*wEt~fm@wwaSBolo$P3()CljHn6{u$
zr2Hb<{xwu9XlQaO0|EjF!2#;y2H$BftRGu>l6qdL45k!vF+9&%1yasAM?f5C6JLON
zwrD!iE8W(MFbg?CVq=bw_|_X8#UJJ+N4P%hc^s{tl!M!@bLTM@M9;-v^vH(r3X(L0
zMCNwbAZGK^GQW^Nr4<4i<Rov#>lNIuKm4;&`)ixezl6Q7TN1J04llt%scd-6U`Vmg
zH`79q;oDS;!MgB_Ll!KtPHO)_43O|qy3;#_(sDR#wS5mp|1D0glqA8oy$eRW{LTq&
zGt-K}+Vk1*JX-1fu8{HgaKl3*<<*{MTOAq;7maIQfH6=#ZfHyY3so&rhT7{NZSKEQ
z)h}X=VlGW)1f1CC`KVfHGULOZKf}G--ewg5q|3-a{#5FL-0^J}IQ!FSI~|Opt+hc_
z1krr8>YL}+f0f}vo}kX!tE-DWc0I~-8#rCaFSWBZ3AZ9Y2rImO0PkLP+_GV_L{Brc
z>g1t;P-}VB78YtrikQbn4!!tJ^s8w|{xEem2$f&Gvq&aR3Nsu!j?x~~byoRW@z;wZ
z-#_bmj4{`8dF1Vb2`HhOkT{y#1)*?7Y`0q`#gIMoo;u;=B+s^_tRq<vh>;%Y1|1N;
z?0nWELTa@-xOAvHLXzXrzGG6%lj<L9D(bm2Z*q>Wl)XEP+Pcj7?)0{kxrtJfq4_1#
z$XbUj3$|Ry2Tq9ai=OUFN1K{l;{sfAk8p)XJie=*^c6pSk!q3hmLhqKaB9Ug;zD@C
zdLfW$p^Vx?hl&HTdL)SE!1N}v1veaZnxk8=XxtT{?4Ox_a?j_`Tr&FFuQ@t%<p0-S
zs_-obmw~<&|4?qaLUjkSqIi?tp{`DQxDnUVv*nCcV0eitU7~Xt=ykAB)cXNDDIqN-
z23Ld#W}Ly)2I1W_BOv(=L>+{^Fbk0d;hEX>Y;wTez4SrzFK`B$nTo;Wh9GU0ILr+O
zaQ(0E>_g!70F4@?VZQ|!!cfvKi^?LjpEG`sVfrb?csQEIpfU?7>kYX+Q<Du51`H%Z
zoH_D6WCU3)VLSFLz~AB~7|uyNFa<GT^XcUk3V$H;0GSf8`UEP65Pnpea-?3Ii3XKK
zMl<fyUnRJohhSs=P3SR4dm&hI3o)i?ekoaNiun-5Tnf`}W!pV4(R2jT-c2D$un16<
z<@GH`v;|4R8T+SD4@$NPVB1aTf75U@Kx`g~Gt&UQc>!VTlP`9!0fF(Y!5$viR1RQ3
zgBs8p(RboFkJj{FgzITi8og<0*~oHAK+Xu0MQRmj5HTg#x@0NAIV>8sVFSKVpq-39
zaAU{ZxpODS6Zwhygq2`|R%I--rC?H@?DqtpS4fjXVMIwx_aY#^Mf=H8Cda`<dN{Z;
zFO+{qG|W-gKnhFMIf;E95)Ap5xIRS6&0~_32to|#O|uWD03GU2`pqT8y<;uBd4m~s
z@x`kSc0w>RgKxsUc!aBZ4!n@hI+A@QgVh6fANw~K38&_7_(0z&oVqr2HoPn_GVfr4
zU5cZz*c=%U`Lw8-`Kyoa57J%cGYKZ4DFfI{^E&&N3Gqck_5?@#Lz))Nq|g$gJ~|%a
z?#I;*eU_&^9^4VG1OGtq7y}H7CV8;*!cD$`>UPg|IEEUJCRd>LDFeO^iS{+CKvY?l
zd%fl966cPtrL+Pl_mF)F*oz~t!5kZ3^O1psk!a)L7Huq9AZj<k-jsLzKqtX*%tBvC
zZ7pmbZUwS{HE6^FAhUr0@9%<{2&u45vQkt%DGnU08MpeYswiy;)#t}<HHAK*`AF#s
zDTCT?VO8(oup9i8;!H?8+oY?mi;w2^ZD&z1V@X+=v7_45vkQj4CZh=%=_p>y-+?9F
zvvX|eykCK<J{&qg0#-D%emWzRO@tfF3PTG;YKPbMvj^5XwnDM?EDyW&EW1k3{ig|B
z9WL`84xq?nO5D%@_LX3t>4(}awYtL>n!hfuuIz~eNdFNTHpUOYNV~|{QyD%rZ>29d
zdr$oik@GX<!C^0;e!Ds=8@t)MeHco6YU_9BGqs)ee{?0uA>VmdC;jvRGc{%CGiKT-
zK1zzglm32wlFPcBX2%zf-uTbHb2;nfsVS6Vbs-Rz0a{r%T#KDH$M$6Qe%GbGz|QbE
zo)jW3lJu>?ta-)pk&#WT5PFeJM<@O~C<iE+qYQWWmdp@PTPV%9v*@@Y!2)gx;uv6$
z@Vy~|vP^v71WLVpGyblRBW#z>4ZEuwMRS#xZ`9zM|2N;3KTKy!PLMSTvu2(1xg@^u
z%kNQfTkdI^SzdjC+=1D);m(0K^z5T@iiLv06z<+-Pl$W5a_@8Bc`uF@?B_|;(!aKa
z?=ttZM~y>2UfL&r=s2n?Xj0j4V{x$Oc6Vk_r|u6|S66bdDClZvTt-Zg6q5!hQLyN4
zWi^}r3FF77W_F+sB8kCPGkjyH%{)%Liz63yRL7xpATG&Yjm==6v2o`byT|Y81P8v;
zOdfm9%W~`2SAFRO@lLoT$kD6f(6VDJ840gZ=C`|DAuU^)6gTJP7vvWfj>35AcV9-Z
z2T_70rmh1cg4HyHB0O;J(Pm4cPwdHoy#hi)k)l7k&a%Srkyv3-Na3V!e{Q-PI|Aui
z$-00G%($9|ep6-Q*u@J_Dmh6|@PY1Cxqz``5TlUXc=E&vLN|fI`sL!XRLTnC9@A50
zd{BlrCIT)Znl^y^FG|5e9rlDH*l=}CL1PgO&od?LkuO(s5c@K@ifNDo{v?6*;BjaK
z1f9`PqE7$)_q(_*$7e0{>9$@lcLXW^42@P9-2G3|ug7$*pM81PZk~U%VOs?_ha6p-
zsOmpl+<%jAR)T()g47^cY;TKl<c%qb#xI-EC+vpUnuc+}AVvCJ%*fF)G&DTlj`UTu
zPqecmO=u@gVnUsRAuRK5hBqe}0%ykAC+psK$g_TSElon3fptWS4!YGEqi}U3Z(ijd
zH;xU-dqVF`?8Hx>su*UvmDqT40z#%^8DU?RS{)G|xuCQqTD?eyDhnFAC(V~|QG!{W
zQ86mHRGIi5%4hh29YEK_J&q`xhqF2Y5y^7v;Dx23OX$g#0I>yPnua)opbGfJH9;mT
z9Q%6UaXsFADCvtS2O1F0_rXE=b>71RPO6(XujzI9{?(l3xe(S*^Kp>58mTY;Y#R~~
ztl4g|DhJtm=4`#p(hx&5A-TiO#kbS$Uebw)Q5qf^!VDe-vbocTqdm%y6A>OQ_d@e9
zM3M5ikPH%b<Hn7*!Mo0;07ktA`6Gn6u<-6WV-g8-HUu6NMgd%17Mw#s_H&5!n{kiR
z@XcgG(~Z*t)EEt#jQp19U`UCzmW_xKO~fyv$MGD-7<a-`(7&UbM83mxe*RFLh0WSe
z21<fb#y|CDQ@}0^djqf3y*`#0|NiZ!WJ42POME$U!3$kPR04b&PzSp7Id-Ig**tyf
z)Jsg{LMkMHoujw$O1T`UGfF+Gir@#!(j+vPCMG86PJs7J`t3KX?i7;b;-Q;A)Y)rn
zJfa-(JRM3VIF=Se#tA!f*Y*&47*LyF{~*hCLeCN=;A0@)QTW-B?6V@F_k1ZkF@nV8
zM8!d9U;`zLk+2`%=zEyo0I|nj7Ikm|jkii?lji@#_{r0;;y!%X52;lXJTxg+i+a=0
zDX%$^hO_t0TgVNVl(KaDL^_K?fXE-f3IjlsXk*~cz}#%el@r}-B(2g8LdmuVI6nz-
z;DMu%U9_v0Z0xI2?ide!6r8o*^}&ggCuNZ?6LEBU@+vh=^u+dBSJy0A!h~tiZl!yn
zH5-(f8ZKP>@ZkrDVFz((AC;ArrPitdRVtlATNUf!iLpjDQ5tSfrQObnDTnJg6CyFk
zbt@3wK;#5MA=c10;NMbM)8X>ws%P`dgU_q=;<RFDOaWx_TaB+=xiXMF%`5c8i4!x+
z%2^00-oZi$!{;NSyLNJ(s*e=%kzZds@FF)iJ@YdPerbuDc%|irhlkaeyFxGzwtni{
zigYAkT20{Lxxqr8{<lRVIoLH>Yi&xGCzGttdiyGrTGbs#+WQmI(kkwyrkmA12D(<6
zsIy$EzYW5Z&lnW)8uvb+5#pB*k2(R1uZAwld^XbpVbHpon)Su;;o&dlAPFx|4hamO
z$%LiJx)~hYQCup`mwQY*1p7fZK517w8o!-P3)ERfsc4*6i-|qu<K>k`Qn_N<6J(XR
ztc!q6Gxbnq;cdId^v}&%j-MWXw2PzixANHbRobySb$vC-jw9$f&CJZyn4b}FQr%Y|
za$wZl<|8Eu7L3&cw@<QLI~fw5O<n<0r~zI=yo%na?ZufC_NLiqV?!xbPoF+@_C_C4
z@kB!qav8Ljm;*0^ml5XZ^5%E#gFVd)m;@bF_i2LbU=E-UsEGdpjzXM?<CPK>D@&5%
z;Jc*oYaEi0FF|)lf#Iw$0@je0N|tflc*N}y@C;UsS%_pSLkrKWp28i31<s#8pGyCA
z*1tExbn)ToadIokLTVl1j6I|bYOo#@TTS>wXh!#93m{hm$^%R2SM16jdJVfl<h_NY
z;V>>YN8U34eS(0?Xf!w^S|>rdT<z>48T&zr{d6abhH1YRr)?CbUy<I{S1xagJRi3D
z9(*2za0QwOfC)^2_0Qe#+LKrm??W%yR8Rr5r<zYi^>JOCY||oamyg$_S8~>(%0yjk
zgG*iwAs(j6$n0I$EtrY(y1_`wNZh1XsH_~e7w7Z39vw<(;M!+JL_v*%1rVz1d|>b1
zYsYZd6iM?%w5~ADYD;;$@5O#6C-%JrJRrGu_uzePgWGq>tJkkyeQ{OnDDOW6Sanw;
z5X(6?1Bt%ObK1IPOCaktL|hiR7_jm=MN~W9;D|Lu@pUPpaAaJn@7sCA+uQr`-Mi1C
z4B^wiSF69;l?L<_nLfM$U|=N-WQOtm6nwZ~GCRuuks?$gbIsfWvuDqpYg=(hE}|Rc
z>)~6%wf=lHeO_hjs{_K#+y-^6Y~wl(96Wf7^&0Kt^M>!G1JHZoXGV)?)qO*9-k7Gx
z(W-BG;memVwG!av(l!)HF3Uuomu*@3ij1xkJBtqWH=?}Xk^Um}dWkhM=NyJ;=p*cL
zM|3Cl;f*cfw7O_&sS(Cf0+@=$3Ky?fk&FbfnYOcPF_st(t~9saXv$TAC+1U9X%P!d
z@7lSOd3p08o09M}^nU;D-Mi*MtWD;?!1JSOI8T|ZEG&`qSmvCWGsA&eZ?iVK`V9p+
zi(|e7A?RQ&@A2(0Vnfpma=_M)&g6+j36`GmLaFxk>zx6OhQdhdsK5EOzu(>=Jsj4h
zdFP+6<ynK+5+<jR*VZoU@Twd%>~=H`{Mz^UV-&IetXy^`foaSEAcdK$L^(w&YTzA@
zpX9$ZIu|NITHm~SjIHz+M}_ZZZ#wq?M0uA&jqnoSz`BMWyCE;Y226z1h=Diil5-a>
z?8Q-oa&al1weIqnp53=<Nsfz%_PNYGhYuf)sh@r34qhn?Cf$TCp%kK#%&ZqQ2eI)h
ziuIJR5uO}7b8iuBn(y0EhEMC046$-$`wBl2-)g3#c1>=FD{DzWZu^Sm`lysEAI<G^
zLONk;`;!Ih0q;xs)q+(*d_anLGd{h&BRR8HR=xlJ5_{!kaj3cX0KKQ+a!igYdKl2x
zxqFBCZoNX}PBXuztbY;5`*SOMBXaFGUS7*yJr~_e@s9>PHmIohkPDXjUli$MA?df{
zCr_C|!EzK@iktek>BGe`GJBPOeDQPo@==wPGpwqKgKgN|uz^qvE%WL^D<ptQJyy<q
zWjNAT-|;rRvItujbL6+XsiyDpGrfk>>dUc#1O_=g7ul9^T~Wna=*&HfjyO^GEzU)+
z+t%H=U-7C>%+|eyyOP~cyR=M0`@#DXu*7L&h#thqaR~h_DK2)kUD2+bN8>g9Dr(O$
zM)iD6g*eZ|o0E)W8lv8My$TF^Zh8cq3HX+S0cAWqJj9^<{pJncfg%X_qOif!Y?lGx
z-4aY}9Co=6Cb|@%8by6DjBuBpl;tW1A5HwNol8}_Z3V+7aE9Hx^~30otCJiAT@#bv
zfWu*X<RYE4zfZDBjy*ktJu$qJ_1-fbFYsF!A7atB2LLWC4EfQs2=3mIqZyWOf_1&u
zwJGOi^nTp<&!TjPn@^lQN2q17r1^oQzAtj>kH_P<rg$1AR+95EwW1Fl7!ufnfQ%TF
zHzM!YtD*DV$(pmlR=Z7>Wrp&k0&wbU+jTB%ldTto=Fu!Z@4<!c6U%ojsKR!gy?egc
z{P}lt8tZWIouT<?tkQVH7(^*9UccS|k@gM;xGNuLDw>a|Zm<#Vwf)(cU~duhsBV6}
zHLBa_k@GUll^}ZaXof~~oL0O6c>?h6Dp<$YRP;msOOd+>E+z4%((J11pIqyzP*uRc
z)Zv%~z1oo#Au#6U9&vYeKsEtd%Ag9wyiszORPJq1XlAd`S5?(;XB>ib6M62<-w@;=
z!Sqw?y8%F@psu^i(OBW6V(WWD-5aR)YPCjCWU$1M>erGq@NmIccxjr<;OtiTeT!bL
zZeD{?o+UI%9e^#=mbqV0U?9Z-!{C@G^CwN6T8gm8+ZD*ww1Ei@71fyqFFo2TWJx&%
zmnC(h@WW|J?r}ftf-;wa;sEGX?rkkcI&krB|Bt)M{GB2&(H4EEe^^3D5LRa{#y%^1
z8{r=Nmsmr_z=H3z&64KWqB_pAX18GW8@*K!tw3>t`Dr&+npIsAo;53)W}y|92{!`2
zc+(O??FY`wBFdG9(NHeo`RsmqG^W5QV~K!f8XxSy6naBsyI&8R>iuVMP{d%NaGSCN
ziEyCh-RhHZ_wGi56TzESR<_jsc>G$Q%cyqPY19e-Erg%OUeYNH+yA;_a&vP~uOphM
z3|v}AUtoT|22k8*=GAZUl*vV5S4jzvsC*q2khj(L^3&_LZ|xq=w1HWRMtoT00w%v!
z@iGqa^e!~w4I1&SfBJ<Zl^5gT>>}zp8jwkodcYs99WOi)Z4K!po(xuZ8eIDRIAnOI
zvB#Iw^on<ScDma&A_}xlE+J=jzYE61(9m`$x^BNEVLkCE_Aw)USPmVDWDUgOg@7Vw
zU8(t~o>ye{uyThxkuJ#U3F`F7tyc=1|IbND<M>b#kh2rX2h>vuN$>Z8Y7^5ew$p@5
zRM3xfmSeLoCK+#gRjMW$fL&Z#>12q+iIR`bY6hMa%1*K%qoo>XR32%5B$E@T7bAZt
zFkExCyO!mlLx%#~=IH~Ofi#}RUn8k-Lw0sHHUlE|$z*~Og|_J^Lx8Z9?LmcB?LcYr
zr_RoVrY6f_KxSH~C2;quFEuwdQt?W5IWnjs0f4>>D6#&-hYu+Nicmh-44gj|2CYZp
z6*UW_T1LRzVrgj&@Uto8r6E|+#ZfA_BQNMPJ`pW1iMtdO^k$w{#f>RLuZD!fNOTB(
zgYoh4r8EH<T7K*hRqMKC4L!$%J!zM5Y+9opsG#w@>LE4ni?T;(1Q6M6fY?{ry!U<T
z{TOYw6@pNR_ZRUVI+D=C90NNXk0F3vKtNy;P8Xb?nv%MXmoQ<97=8rzwEdPpsYu2N
zBwrquBaF+BbTTvzj{iOyYaE)_-QQn^vybAipo4!KJhi8H@`qg^O0X8Wo&O+}KLLBp
zp9s#41q^jeGG*D7F($?16t;bEuQLP$C>qhR&yf-O2DJ{nhv+vGP)+jxgUe|A3&WZD
ee>8?OEb4b)hHz2syeCvCGgWtOj^DWd#Qy@VkvY8p

literal 71896
zcmdqJ1yoh*+b_CMEJOr@QbJl<Qjt<Z2?6O`fOI3>AS$2;NOy|TERb#x6)8bd8l}6t
z?laN--`^SIjx)x0?z!iVao5l-8(3@3`Of!!o?pH5m7L6j3pk`WC=}{~#6wYe6zY@{
z3U%_y+0*cyfr#W~_~-N!sRyF)FT8d{Dm>wzbJh>lY*8pOU*s=V(8P)X3Pp*M5WT19
z6gNNQ?53b}c(mdel3OUJ&KPlz@D#5i_9>F<_wcbl*HJw$Wjg7X&d!j|{CgUg)g0$}
zJ;QGfJ}So7qkcH)qu$?A&Qenk<h}9|PG%{56iT<X^}w@i<b|a~48G-_iy*l>|Kg+X
zceVy625Ax#TmxI#aYc^L4F1!c-%x(y@Ber$<By*D`?Wt+?fJi75{h{d{r!^pHHz);
zm#SB=(0{+oV>nUy_e-6}*iKk~zOGF<yZrZ)y~GIqdmk*^aq=R6(u)_^v@|r+1#N=<
z_Vy?#23A&{fk*f6d*jxpv*#%FM=8yk*b5!)7m$1IKeeB3zn77bF?mZ?LgJNuH$GOr
z@q;=`&XAdGkD70djgKWIUthX(X+6kupSq_z<1uc%+(5BK_}jNhX1Qf_J>785MJOzE
z6xwCxy_ZhwE6-Q2Uh$2+;q1y%VS5yJ`?1jevdDWZGNu(Lew&IR_`_|Oi0@oi7)<vl
zW_qjUsOp1Ed}gA@?#&*hKtAn?rxiot9||O|6-Wx?n17GEW7=Psakv^;W850U&B(xT
zc9#!F35`YzUwb4Y6VW;IW|~J%nYsUQ-oP7uzN`_p#j+{#tAvD%w6tQ5L-r~UovHhZ
zoA%7B*1q2rVV&CO)n-%p9>6=SYT563v^Rp4IJCF5bkRiPqTqH?bd8ulp~0dSPwb-t
z!`6_2g&z7ux0H$INZ(2!xG%|+wdX^7=PqmqyZ=sXp6Fn!*-xRBikNQmJS^xhw#f2l
zEl*d*&PUxW<@xBigl0iks$LY@&r>fleg8fFuG!LXRemm?wdBu_2L3*HWG)@WB|3H9
zUOcmQd_{IM9iheUql!gO$HZF`g|tJsY$v6^G&J~z358f>Rkro?YI|zEeEIT5_}b^o
zvSByVQd3h03*C3uAD37TwX`i>vn;(aO?gmmKeyh(*%me6bab%QEZ`BT?NQcWWJWJR
zdfPgQpIr9g-boY+ALm46dc>nxo(!cd<=vGA3O%i>QY2i)Z~NB9<}fvZ_V)N<+U^_S
z>V?M1Lluq<<%~sm3-eu^CLJ`kWhxkSe}yB4pF9Y+{;e*tO_?Ua(6EB6fRYKBSASEl
z9xn_#?~t9sw;fsWf!*z~pyx6bdJT9M1H~+<t5e_O%}yJt<Z5P=*-j}(r<Inf!X@15
zZ3v>k^yFx$L>)#OB?Qwf^c6JVro)+vp2R|j%~h^_=k&DRJFG-waL%7E@;GqWnC)hw
zbPpmIV4SDbJ;iDCoolPWb!+kQ2pZ<^dx|;HFBYjuNy1qw809pX_?AM}NGTO<_o7O)
z6|UKJ4f=`ziC;wps$B&<&TFl_trIF}XR&~5yb(j>@ffOs606?Lg#lU#`?;R*`d@Ep
za@30?&){A6YvOs#NVt$*Y|eS9`smO#N3B3SWPSQwkk6niZ;VA2jOC<&Zd2IJdsBN;
zLPsX7DumV>k-@>qaO7@H3K(7+8ym*fwKSoF#=(Yy?|f38JI&gRk37FzRY`yRPCO(v
znEFA7KNJhm3vkt0l@x<84I3L9O*=mX2p(?h1rXo*<Yskrc%YvD<cmc14SbEOMZtXb
zv(q1&Sv!fe-I52aYKGjbU}f%3##+f3UVWw@sjI6id~ql{J3HNSX(CdaC-Ony^^Cgb
zXJY3LpBW|<JC6rHXqk9+@{CWMP>jX#KsStN6&OB}(;IW)CvT0qB@)v0(V*F@Z8&q#
zrkQ0@NPoz(#IkCm2d6VvvrL|?dOM}8+G*v<moHzG)T@Uqd$(7{XeG{EBrhD-cSE6S
zNzX1*nJavdK6lmzR>N(dA}kpep4gn0?D6wNtZyD$c>QF8x)eFrl|dcbN?2qO9u{Ui
z*%CduYf&=v;f9D$)LbaN?BvY3F3Fn1-7LYK@yinOzIbGIyEAFNVMqFfIj&1py_z0#
zIVG9WH7*;bWOp5;L%1B~f4+6088GKT*8JpFAFR=^JvA*=)%5v!bK8Sg^a<_GQ}IMy
zJeH-uPTTIl3b<Hq`DcCm=h4#AX4p=BpWL18&eBu8Hrf>$6GO_bSYI;Yajm`|l|MnT
z{>so=g>k`TDmEztZXDlKoUL6WZ6pKCe0dYua+pctMR>It(+eddJdsNkOVw}J65kZt
zBflabpe1i&<ehoqD^hz}Cp->zUshISXEO^N?XOMl=9CO)?(gq=an<`=;Pkb+y;Qk|
zTuf54(7}3Vccv1P#QS<x>`o>UXnu;=PLEk&5pzcdUB7e5t~y7f#Ps*)SF?QuX&f9J
zVR3QUw%_kOfC?BXxHn($_Uqb)OV#dd7KY1Z-59C&Gcz-i($b2Ch98j9rD0X2RAAKB
z6TzavxF5V+d-7sb=q;s<ZOzhwH7EW_p2H1{XEerfrsIp-(9zOwf41C0yt$s7&UZnA
znNZu9SXdt2ym_;H`O|rB<915-?O(n&eDU`v>JtQ9V+J-3*w^6T>z%UpOI2H$P-7)!
zWR#)8+QE%8?fYn;8$e%SJ0$~G^Qf<{Z@1OTLyx=!kBo1+dT+5aMa<v3I*`iwf><Y1
z2NPBbLATPDy$Q0tkdRBZ#9?b~LfUX>$%hZyq0%u8%A^K093Jd(Km9FQWHo|@A2qeK
zC^|S4qn&=8nwXe)sTgrZ{o2~ODVGe(yXVsqVCq7l3qE~;G!=TK1}wOyZ{OrF=qfJf
zRsDngwYGcV)bW+Y#M!fp1HbBhTMtZr<|XgA+`D(LY^uKZJf{4EY@#JA)FO3Qu6Vv8
z^}ZK*wT1G1-3=H`)BFipI!5cBcW0|{($dps!IhUURqw5j937Sn+7w$3Wj>&AS6t{X
zQZO~m<lyA&F0s-^#!ffBVK$DUWFY4}YiaEu1`306nE<9YD+^QI-(ovt-y6PHMk;eR
zBy)>|V38+_`lm&L<ic**R03yYg~I}=&Edn6oYkKT4g%Yw&qGpAp20Kj{P5`N2Nni~
z_Dbh9ns9O>ZJpbSB0ji3-bbPtGYU%<DUP-utW~uM9r2H@>973$GFe(*x5^eoKa4^N
zD-zcp@w#rBi-g>0G=^Cy=Ui?#^JH?SD?=fC#&c(a=$&3epkc!6LsDK#b8{G-rqyDr
z5lb$M{=%kJH&2+vGG!BQpn6FcnD>25H^-!=(oDNujeia|aIBSggbUuMX>b@8c17<;
zikK3)NIm<TT&;?j9Uk+aI@kG~+L3j@$Wo(K;UI2lX(>0cG*r<$4M%U^TXd*kVrJ^-
zm1Fp1LLGnCk!MZQV`su(SZL+vQh!m_r?ov;gb|GtGh@FtTmsS(TrxX8&O21(8~>ns
zm!8frYLDsF&@HPgzEz(-ydgj2Kqx72p`M+PMO~kUmR6}Oe!#M#m4SgF{bQwZ$rm}%
zCnGQ^uXOBuYiq+eRN30vo@^Q{Fbdik{_rUFM6O<1Cy8P-eL`fS=V9M%z(0&bk@<QJ
zF&3XDY)IfHWOKPg?Ro=)b*d^c__mPi=KL)<ndnVq5!uCt(mmqn<S}kf`n2oQA4s)A
zLNL!m9nJdlqfEGi`}jA4g8l97ZONs+iC5wS9B*pddZ2ia_~;T>I4<#MU%T~0^riEN
z$DRe}PzbFQE({?Fr(xJlHsZs9FnwmN@~+zs^HGm6Xo0mNlg<yPv=VB#&3d8?>=ydD
zvpJylF^XJ7zi6GYn{8&R;p#o05MyiO9dUaH2o1UAN)ZR}{b^YDJyVIEXx*5&xa&oh
zL+Wq|=c+rptv{BiB%C@=I31y3`2$dqyg|RW_Xz_dqcbh|WN!dJAv3?f(%JU?47B+)
zC>Sbz&Bk9|Uqw*jdbf)9OU0m7(OuHl#h*TX^5R(?7&$ENSf_Ab5B`2<Dh{U&^Yp%K
znep`?q$6DZr1*JmgYoWN4JaU)HWkUQ$2TrnT&9zjb8v8wtC|>b8oLnhdAM_9!z0j6
z16QnYizQ~ip^blQ(6&2O;<7EWq<LL0xmKZBw92{0S0h<8KG?Pir~rP*;TlSn2wh)o
zW@{c>IR>VOJ8hoIF&=<7$~XJXo@a`rewT&&bb`FE?fds0Xq-(fMzDObg5JXsrz9Ue
zx{z5No-ZF8^g^|Gj>2QRPP2M8GwVJ%BW=G$vo<V3`yXON5+O(_DjQm~>3kH!B@uFk
zf&#;;Rj%k7+s424rfj&z({sqW{=%g71*qvgfaUR(`=%0HbIU5-c2;q=&Oq_k#C9Sm
zUKwjRv%g$A5uw2-4U+(EKikzPotTi2i{KdmwJHFH5X^*wvktvK6Yz{-HMxL`;`Z&y
zPFW#~z>_K^mRhZFFW}O{n<qkg=fZpElpa402KbZKCb%cPHR4$_+m&&7^HAB*6-t|r
z?l*SaA%_8r$+_l8HeT(mqpbPh&&oOKGk~YtVabl$@l9;FD9OvGP(KJXZVaJCuuHVV
zx3@PYOP|)29v$x4&;PuIOdNQ>iibzF+F>BsUAxXlywN7SmV@cgs1;RvV0tw3pV(cl
zzi75L*~-Ysh@4r&*blhgB8vf@s+F(TW?>qY8HkOMzNV{ZZ{lAaOp{HNTzhkkR|cS-
zQKEZs1glnNWhK9J6?!dZ`6B*<F{es6y30hkO3Mb1MgKJ5TxDI|WM_9M^y-mX4$(Bx
zLG9v_G`W!viwl~V)jo>K3htzq4VOOE1K{%0oDDuVme;BW%9Z(tK3MZETZ?4t*rLJa
z{`vhSEiKY(suX;7-`uKX;`t^Lf&hmrR~#PNQwX@&)w)7sK!&nx@jTwk-*smw6yeAo
zTNNWFKxhp2toh=1cjqwnUrCIjOrSraFOcymN=33N0qa7$E^w0xx~Y-}J%B$5U9+q?
zaNs-uT(36av>9Bzxx2MwB`64Wu)E52i$kP*d}=D|K@j=mF0B6(i%h>>j~l&E`kbjH
z)e*yO)?zT?&VS{Hr3O7Ir{SB_j=5ETwrYm8Lxjj|%=JozELQJX0&9e+2se<cp}DoK
zjh8+(G!<wJyN=B-IfT*atd_X%Z7N|>plZ<b-64Cad#aA#1FflPZr)$mSbDfScamIh
zZluQZ<%CNWdd#tAFFtw`))X&*cP8nj6{k1Qo?~auTp(4nEaz<F@02chI`*~QVH3NK
z-;ktnVaQ`|!B9=xW5=L<2cQe59@GgXLFE~EBT|kBziJ=t_DXi{2?;VbZjVtM89VVO
z;B;OjX0MfYT`1~}i2XXZK?=R+R_FV)v}*vfjxvWEahhI#<-U@s)9=?g!{xF4>&!ct
z^jHlDS>lqElx#|cj<K~kRMByR5to{;p&lys1yU~dPJJVzNDXam=fmE}B@CYkm*}d?
z%DJ@oQ?_i@Wt!puo}w2!q}X!Sw`&0UU^UE)1qtP{TX6M1VMr;nx^w4_VR=|sm}zej
zKhTPc>1_bLn^XJBY>k9tpdl!#ExwvE*k1m16}<$QnYojPl-pGQ`W>6p!F4pIw-icF
zYazm6UvBvI?A!#TtX^!cwn)7~9z?Hm`vbC;cSx>C-+gTtThfGoA>X)H@G$YDRrQYH
zL+5wh#klYGZ;(PKSY2Cd?RDLlRiYaSyQ$E!b>K^h<LGxf5vogsNj+3ioU*vfMP|L<
znU|n0<TyCPjXgZO{Av8?lm;VNV(Zb;XSRyNXOxl6O1fo$L=}Xiot>SPdfw;dvFn)E
zrKF^AnCyFwM{Id8c<%%gHZHupHhSR;biNh~eFFofn4Y5sBSS;O_fwthxX}E_lumE<
zV6-XT8XoL!=q^bW<|fO%91y>b=bH~D%BFc;XtQongDbEB*0EuAWLTKugj2pu8mErt
zr`NeB6Epi&X)r{I#;2Sj*|f>!dJp!tRMaeiTeq$Q`p;(9`aAga)U|g#_ML36!Rl6f
zIrE)wj+t`^L3jpbhf}mnOj%8ypW<#0FE)iUF+E!HJm5t-uiX!Rp{oH6uD?qw>fVH2
z|1-3bUc7`0{b_J=x@U-w$MrV~qf3lMh7(9GU|PMn;nKQfpr)pV)sS9}g@(=xsEu;;
zI`-Nfjd1AE(Gyj$Cc0TK0w1Cf;Yzx1S#o!DNz^F8`9t;2<TVz}QufjOg3C~dfyqoK
z`zk_7Vl0UV0G}-48#7n^V0mB5zFTQ>6_75)x?bBazP^F1+^#Ogc>5l;5J{tCR#sL#
z#*wI7dW-^zAzj&O1zsE8-rgK0XwL(C+cKlJ1gv`T7mVt?a`sBy;xrjR#rw<cv%bUH
zVr;&~q5n{Bk1$|trANc+RG3<~H64gIF8eDDS%a2&RL)hR1F=@sCai!g7MhxxGC6{d
z#+tH}b2u98vZYgDn#=T5i-|y^F>Hy_%?%>u&iqt(7!)ZR!*w%tZ|C_%!SvG7QpwKk
zi_~&89_~>6^E=iLw|wK`;y6TTwnf+W!+6P;pa>DOFD|AfdXNU|a?zL-?L2%fR<XH~
zC_>4?!ZPhfpJfp~CF{8xTDE_<w-nn9deU<|3PI+Kbxx+Pl^09}*1tY+)NgJ3_@@WL
z3?9<VHO@9ep}edKM#X+QEDmNMDooQkVWgVamN_mB--}!l8a8$g4d&mSemA)a^t&rX
z?7RSwEOls!iYIXCU0uUrz4ZW;;xg@GuwNWhgR?8Ybonx<Uiix;plEQ)=8d(V=44GA
zvQ&ZDE$l8+=(b~HyR%ragl9T%^;Hk|l?%YJW&wthyUyRr(XK&{xNpUi7-J;c5(J)0
z5(SL?5~_Qwq<3l$TVq5A3d^hFa3+<QX5L{ZJvnFA(ot`(jZC`f5UO56k*6OwSxA+0
zHBACTStWWkZ6Ccf+1r>iVx{1BlDo!hiR*H=E{<qKUqOBbJ5}jaVn}G{$sVR%-^Yb*
zZLh{wc1ym%Y@<uLr^@ut&{|O_or*q)&n{L<V9G7MFCifjA~|(`+4<K?q85Xrl@D2S
z--4+pBDOxAXEO$X)6IDI)~z3!c!u5}%X-P-kBXIjzq?e)5js*jWC=f)0{q3^DX`I{
zK+0pT`rcqicJ^tvlFCh>#0WP7wr6AW5k{|7=x8+c2wMW+3ai56OCmJV^8XO$TIc=k
z71NRGs*aA1FaR;Yn>Cn}v(xi<6&YkUH=Fc`eGJ<YazOjZ01YZe(7n8Rcb16^27om(
ztAqSKYa~;;1@=HzL(Q3iR|0mp^=G4U20S;XtwrZZGXq!q{d9@>Y{vZrkM?Z^4!6eu
znLK(}^%|(hb;a_B6c_8+Pn@Ve3>8(H<gM9xBsY_JX=aW#2DiQ)h`P3|z|YYtP&Ys|
zFv>k+D<Gc2;`3V{ij;Js;E?8Gcb3X~fq{aLAG?YzG;9wLF4aD8?n6W6k*M_Hv+~*7
zYEx5it#Zu~EGN-(!&MdJPNUE8O*QTyx8rW#LVw~>D9P1>%gOx6Os8jMm7x}Y^Ogn{
z>Z7|3^Kwt0=A)q-O1#Hf6AvI&GP@?|qdN@}56^Q<JfD5X@~`^Vt%8Dr=ZCCH<VV6)
zY{nNr<GTs+K<=vHxj=t^1t{@cK!*_^<K_;6DpmpR-dd~I!kA5&B8VcNKHa|)F9Uzd
zG+Cj>+@2ZXEKNzk6L49VlaUFWY)izLVXAnNhRe#zTvomibr+eb0Ld2y1qXNM_GcGY
zdYAPd54eH&nI6=pOVW_r@~<=)+mp`(Y;s@8wKnR=m1gJk0t6Q4R4p_ANR{Ad_+d9e
z;~Z_jOtzV+scE~j?A-+}+rAoJO);vSZ%^4}CacBN0URPUEO+n3{qPmfmVH35c;%7$
z=~J}wQ!D!MiBML&9yHRLERWU^RFUU&O;RuDmza4T3nFW)tKLnv90ST?r!SJ5vx0Oq
zhlmfYZFRmB9;NCAd#<266xz+mON7+_Y6l4^4Jc8xNb>whjZjjkNV><thKlW-s9#FZ
z2=CwXBGR21swi0mWM+E+1m`BNmjj2#HyS#+OwXf31g1_nR22Qydp-BZC?>3L(}W)i
zm%(8-25sBaEL{abl<N$Y6*S3pgi3<&n$7vXcVi7fz%#zhZJb`GtC~*nrz$>>i*p(d
zBD+hN|IxGp_|D~KW=2LFM(xzYANYR<jG?XtxR-5N=B+@zx~4sc-$Grx>oW?5-(oHw
zEdtZ#tOBGAlAVl0k%-O5?`=>I$=I*Fpc#7FKt@2u*(GUFO}DZX?GEFXv>JzFF&Ah1
z{nqnNfcx2WGI7S$Dt*=j$+zvM-y%TM_5kGaUX!%=51&7O_R?dwpH(~nNmtjR-V=BH
zp#T<0w4)+0KCwI&F*|;JKi)mqK;(RBQV{dl4@W>uYI4u6$`m@1c*3YxGSCfZdSh`&
z15>&B8eSj}aIGB(9n8qy+fu*NUA)zAhKX(lVZ>iKTQwQ11#zH9i1#q>;2KTQy0^LD
z|E*ZWprG%>SJT0Ad$Xb@zUbce3|7*Hdc%TK{8VJ~#F;>Qf_@5$&APnefpb_c-2*c5
zylHB~<s>;~Ye~W}GjFvTDN|T;XiQ1VTW<Qp_}d=)86H8mNv4bdj$;X2aSyF88?xM(
z{z3hu{-Rn&YcI{hKnZW8CuokxBi3wKU@}<xG(_@<Bo8D<i4M>z34=WuNPLoo_J3V8
z#Eb$k!+ujgkSuZrq#CWsUHA`?vc}Im-REU)zu6gJR&|3bq$?#O(*r6->&63e=hVRj
zPZcfu@G@kgCxn&nd~RqkTc7?>zTP3#+M9V-LOivEX#S_mVS^<cTWNE=rM30Kbdmi>
z`-T2)O%LETnM%scm}G^=0GyUQw(i>Q02IYzl%;Xy7hiR`DVzE=FHDmDV8t021}u)>
zsSb64wr(HQo{oUPn9QP4tXL5T?dLTAeRsy!lRJ&g&7Hu@EpmZ#tbySC@=ni^=iwSf
z0J#8P7o!S8zXiF$&KalYJFIq$ML7WIBb^sOtjki47DVpuogc<vHBGk0s!ZPP89ChK
z1t>1XcrexU>e*5zP?R%oT%|991BP#csF)x`-Ev(i*Ua@&3vhSiw2^xMtnp#%X|mVA
z@?x9o1S5!B7k21OL%ls)dTQvc+4YK`h;gRdyqgHTyT~4Sbg<-kW}WhUcZT(ac*&Hf
z{Fdc2bhgf`<BdvzY9O#|{L~9la;*>yu0*?iGBK)KUh3Nb(0*zoC=BGcF3sxskImi*
z#xwc_zpHo7oI%9s$mXkdvJPpT8Qa@VoJSyz+RM+8XBx*-fCx92TOqTvvlAjoQD3vS
zSb^AJpqmX|w{-*MTK%KGguSDPyj?#(<CM@&AEK5_2vy6xFAk56&H$DlH3vAd+aOX4
zFx2}F`gkycOmk~CdNe?FWC&%wb4TqwAv1d~1waPGGnro4KGSs9aq+sfIZPX>XDGHz
zTIi@cnm>UJN1nq4G3Tq>l{M%A<%{KW-U-X5fP^Pxk{)YnW}mxEhrKaYoSy!0sphD<
zjQsmpeef_ED0S-ud_ypuZ~IJuHduC&ova$g%qevx)|zfBU$E>KdvanyMT^WsIFr7?
zkK5!RD7?SJ=>oJBWKzY+TN)Jg>~?@=W~P6<(_Or$_Rq+IC>Kh~Wvr8{!d<X?&8m_B
zpLqFVX}oE6u@%tQ&NNxx-Uk7sSLH`(Zryr}2&KLBk7BO;7#<EL%vs|!Xu7gy;^lMU
z+Ua#2^PcSJNpOokRKaCYb#&e#wIB~~24NO@85CEA>W{i{GGB^|0CI79#U&<cFEq+j
zp)nr|3R>IB1>JY2fl*`F-6L7G?3!6hqUM0HUWi&R<T#Wa*p39h^0+@*AToQ+`rUY$
z)@V-pQTN!^58wjU?o(AmZ{RlVdI$&W09oUNM_jok>j7}s-O=Y4y9$hCxlKAmfrZvI
z4J|@h&j9{^ftXzwNP9P?=Fl|o)#To44V)Ut70S>xLnKdj07yD-CPZB(aMVCUFPo4J
zF2QO3a+L(Elc%Ga71Ct70feqY_l*^j9<(gsu^P?>u81&s-32|GKJ#L)2Ywf?-%bLd
z5mEU;=~k&dBqSm-1JdfUHRRY#Ho&Uh`&LP8%!!7E#u(bm<St0Pc5oZbhRW>?oh?f=
zuJM@5!GJUsu05PrNX;cmwC-19|2;N#^6O`Gna%s}LPu`ypkf)y>cT7svDIX{JsIor
zmZn3W0iu3oY55xG_gCj=mT@FGZoa)Ca-UTXYTD!~$YAS<NBi_t_WnM`af!erW5!}7
zJAl3sw(n^%F8o?zYM!tW)8`*HE_7D3`0Ph8x%&Dl6Qi`swf-KV!<CCbL}lb>E>qOG
zsYD657K6CMB(b~Xd6ZRiuwZr1qPb@1@Nlc<;=5v40!r*&M^<ooJ~SdBKQfiF-tLF(
zockvWuqp@;-f$R9F=Cmt0_hk4X4h6$Rt(E^jy`_;*c3Kl$0x%2AY|p2FGYmL5dpP$
zlnL}G!i|NiSFe%)1~%vzSa6^g6dd*o3gQJSK=u}V*3YHTo4toO1-1tDG_C7SP42>!
zVC46N5#sK&0J-~<-64E>3qOdvne0R07++d_YFjZh5plKAjNy8>3H8-;Q$P1acb%L-
z4*3vkiBld&pWsBLGc>oMtlFE|A0<nJiG+KRx50&5PYjCD!wvJU^x)voPz96dALjna
zeqXC6#>b;(6y)Wp<l8{H8fGql;-DL83to531nxDS?3TUcgh+$ti0ETo#lR(~;j%UV
zc@SJ4QDm%zMn)QSVYEl2d2J_Ka7t$E_yUe~mp!m~6r*^;9Ij;WQ2Z-4TM+x?Ta5@7
z41zYN9JQ!l#8Q8D-+ZALqy2MWHTssGc=!a&W~R{?AWuQwtVc+r`BnjXiexA7k#=d<
znfH-Cg-Fz)F69gx)e{gnY;IqNdb#AW(XG;)S_buY9pq$&yLazS+xX&=q<|D1<}3g;
zLFjP%-R{O5k>VYYqk22uOVuxG5zZ`tCpR<XIKr}4el*`jzbOYFw+mXd9f+w)Wd}DE
zJ{b38tEGJ=wi0mN?1HmC@%8Y$3JoSXhOz^}1}2MxWijl!_roVzVtLt8F0<|c+X5Bm
z<&*wGlNcdS4>`RjpdSfqlvuJjnl~r}U)^L85)#t69XE@6@mHcFbepvO+an;^`{<@y
zjZ{xwrmu3@z;Q}F6a})3HMSy?C@4U6nMM3#>pRl`Qf`jKRkb2hrLr~buJz)H6{oH=
zSqfYCS}&~f$rv;5?<3$#dnI3o>s0ymR$PAcg`elaoVG|d3wSNoV3<<LD=3`&>gK*&
zcc%H^l4rk3n#r$EFZ)ZZ5)E5p-b2Ai2e=AD0J@bt082m@jwXluJ5A8C<L=mYfrM>S
z;#_x%Xu4`^xDzylb--0KFz@7{oavVggolKrNU>EZLjCOpplAoH+^esyo?vD{3-mKS
z>rpQxjsdL-`%RW=@cO#l0YF^nYp;;D%56EQ>QJEt+E_arHx1UfGT^dKk&6O~hNq`h
z`PN!EH{ede2|jX}&u{30I@JxvKD-6Fq2M-Uf`*Scqdib4GXccoG`}9_R=f<W1N^Gv
zun35pbkb2tpwco33ZkJ~Dgj^Km@jCX1t+Z>E+oYvK<v-`O923mT=xFXnmsr@S!xA_
zFfN%ICAlELet<=GAMCIW@Wpewy1M)<@Ak`VxNDSJCzqL*42a;g#~t6yj}2q59*%PK
zXS#Yob^QQtg;WSMv80`~DV4qtAo}J4Bd^!2fkuRkmFbcc%>aMqq>$r%=cBin84EL*
zM3dG8;1P7fq`q!Lf~nrkywkYsIO4AIYw)a(Zd60Xz2~RXKI5ySP)UX#Nxt6Xk39>k
z!^;n$yNDqIhS<d9B;&1Hw|bN^gMsH~Af#M=Ce^oO*v0IP88!-K%II<&2rBZkN|6R&
z0(SJ>uSFSUZXzVeJwZf+H)epxO*xL^M8Yf`A0Az^MLz?Bx^cmwp;Vl^4Gis~W55b@
z?rS?06wS;(A)}%eL<aV)PX=aD1v+Mau1vraVjmz+%o0$HV_`4}$4IeIUNM2U{tYNi
z*ZqH(af0DPUjNJCsjEbDIF!ZEY0Y^wva_%rhJgGCUI}i!pS_Y--cNI$zJ>Qkce!yz
z&=}sY+$TOwS>G-V)O7|E<kFVDD#ez57k0JlM;d4T1mYg-bn+3aYU9DsvEQH0cV8OK
znb2g71b*{G>w<7d7{I=i6skM%-&Ivko%OH(CFkN&p4#D=G%+;=cSU#`%zCg*lvGuT
z=Q2^c`2!081mDs?5Q2e?jSV?;WI_TfSi!&+A&DdW6KrDI@Y9Z9KI&;+qjWPdG2y_a
z{#~;LMWY^XnL`xj!13$<)ri^OWBe}<|Nn+i+?OxqCxT&?+SuA6u27Cvh4P5oS^$^~
z-Jrr8fN_VH`DSoXlSMU87}U!g&}uWG+0Q}*q9<Ghebcv|V5JgJDe$3$2xheuP(eVR
zeC#;voCXRMqqLCSv|N#Cx8%DAL3pN#rUhVVBHWkHZ95MZQW|Ky!XzXlx3by*{uCNC
z6JEV?C0)1P$8@N?2(ofdlqvq+2JL`z%eeq>F4M~}ua!f3jPVF~5jU_duXW(fuuNmu
z0gueiq$MgpdGh4*DydI0AopoV(!|`-^8qQ3+vxjs#1le@mAt%slerO8dqm3us7%-;
z*sY92mc|=Hiy(*t%yrGaVkj4>AE31>L2;H<cL!Lc@F<>7X~gr$y><?K!XFfe%Vz}E
z+eJ*f(tk)~fi#W0Oan<dMW2Htf)GgPW0C+Dew02P^ZxD%wjCf=88k)(^!8qm{@#J3
zJM)D|TM_s~k^7#50EA2kS}R~6z<QAYM4AYdBdfIZ_62f&RWUKKW00B(gZg&ZZS4_c
znNkKv*(9Muxt6asF%^M=>ouCINIHK6D7(AD(MkY12~6xvdtf_1puMDm3|%H|tr7w^
z7_uk_QYxBHUsiAb_D}Emo4VvyfRRSqG}0p879<o>K>E;vYdy!ebcVu>GN|Dlcylwr
z80F;UL(F+%0kd&Ir0vdiyyJw|Me;YQ!^b8V7-fdl5kTwUK1H6}1YVz^ke2DZHVIm;
z8H4Y8Wwmm<3?yY(rkN|**=Np!xVX?;Uz@rkjSFaUqSA-vwzgg*&I2a!jm(WdsZQZm
z1-%oMzc_G3KsyVg0m_invWMIa?p{r52_&3D6~RkS{~)C4O<jMUt_V1Pw?~U0SY`r)
zj9e8ItM)zRSRl}50IKe7G(mv^a}lOi7qpRg@`(`0x({ZaP5X?$zyERA23iZ_e-5uW
zcd`=r2qP<N1Wo+YuOt&6X4;dV)0jZ-B500<IwN7=LvR~r_)Y>1=z&Q73$gmfz6Lz+
zPwSs9>P2^g#`9dpir5E=rQ!EDlJH$cuG9wx#TEk}zW5V8Nap!7lhQLxTWHLFt!|{Y
zwzP!R|6<?`usV?q{){NI6~u-%HV3TcfExGo86~o0aQ#FQf{+%7oq+@?Ed+9AiU%yu
z+xJRC_h!8Oa1)UEIg{J|3f%~{R;~ug_?uyYlGEX*r|Z*?-J$X8P9RHj!&hkk#uNK|
zDwzMJrRtt$-eNl=Qsz9@dO4VbTsg8^jv9Fv8}s;LTff@BA$@K}qCB-1NH8;3$|t+f
zyGt0Jn8-GBbRvI30%D~!poKc~ldqj|vtI?b{w3dBcELI%2j&{-6BR+)K#W-=Uh8ws
z@-5B6V3`8K{QwA~4H<mp-oVm<WW>#_DhLdjjn+QXjdaia2~|lI3<BE;n=(cL-(-kG
z6hI(R)!7mB7r=rKvRRcCA+1QdB725XP_VkE#7I>eW-7d(ktFs1{{6d@zJ3+4Aflp(
z=S)%Eh9v`K^zX#|*6lSPPqpZD?V>PCqe`3iW=5!+=Qd*Ix*N?3`nZ5qSM5y3lJYy{
z#mS`c*-a;beVv7_a#?k$is3Q|LDFARtYxAhg@E~ygc!`c=Lr6(cHhec{`sbvDFckY
z`N~tLP7!2FY&0RR8n)S=aI#lSZqFGf_n{1Ty_txHv6ZN1hrOc<8k+Hy;6#{##mQW9
zW&uQ&;|vlAG9i-BD}Z!&Cf$3^WjS~ov9`fz?gEhx(T^oJ<;wS0o9!X=5w?ehoCRY}
zjS^UhCO~p^CmzYl22J1k*3yD|*GgGgIp8+MFC@SQlS8-yEBmuyLA0!<Q`NBP!5Koo
zB1k`j_fLm<Y4B85{Lv=?67FXh+qmPr>aE-h_|>56NOaFV)gbpVPWLG+<dW!sGR`Qi
zpr}Zb!Id;OLS4e=%mlnC?T+oFG2|Bv9hYF(keC|;)IRo^n*#4UjdwjA5a-O-YgV{X
zQ46A=9q7DVf<7?)Ghgps_ncx6c%XSFDuJqn>k<<PoQ9IxfrzOhzIZR=z(We;{_XaH
z322W@ngSS{JxW-gep}ye(LwB(9Lu)6>Njt2uM!cd%-tlRi~u1EpaM;}L-}X|E|Zk3
zY~;Yg<SQZ77`EEE4VN<ddgxjmROC`2sepC!*7~z#<O>j)J_G@+IIb5!jmCteLhh95
zi8B+Y`>q{~xLhyVH7B)$Ep@IJqXMnsWXcZI!VpEiNiz$gMH)K<eZDZ0-_@gvvmwLt
zJ&j9@zq0#hg(poyRU3wR8(WnFc@Y&$sG2<wLp=5dM#Pz|#2~tr1R@g}xkz8TWr6b1
z^9+02RC`c;?uBcGA^}81lDXN2ct9GKWweYNB!X^E-!7L7fgW!PbWU;h50deU$$%+l
z!4nHIH?;)9)}pukU%xJdW+%~cRYj8^zj6W+<1rituge{ma=|o+!t8l}qd#rq9wglZ
zRIBNu*>lK3rNeEw_uc}C^|3EH81_&~N~#kPsn*M8e!TPj8bm=6UjAP$4lOY|P=bL*
zfvC|?{i6j8FH#6*gIFsHeAKizHy%0&Rm_$sq(vb<)1l=!balBLy5}h(%_JBM$jYp3
zK&o9L#15K;Pt_8)1ZdfCeyKo6s#;z+93tn7<ZPgSyfSqMy&(q}d<Klm)eo<Nf_e|O
zMlf)LTH^};_UE$^t;<2g>QS9DT}Tck7cxwo#Ir(WeTabxJ&I%JXf5$*I`{$k&60WG
ziY5@=0g}kLbuc@=(Fgny0K*5w0vQ~x1_!RkkAT_^I&~H}qD_sBKfv*`?=y%r8UGd>
z9-$QtfX9}qG)5mNraEw@o?NXgpp04IXd^LCdyuv>KmwsJVg)w}h)>t=FaAZ){>g+q
zG!d_q&tV>nl-&%-cF-3IrhNpB41N?R(W9e==UX4Q-Z5cw6G-+k!VM0-k=EHrW0uE!
zB+&z)e06p8i6%9roAgJY7)nk~ur>KbpcDl>weVWrp;Pl;U#fyh&N$|KHRCbXunt|i
z3vlIb$ducRG{c2>pE_S?+RaFI$3_$pwjrC@1rn1N<<rzP09R+oorIr0eHz1OZ(1vA
zdg!n;oC6VUC9qKypP#<a1rbc}C@Ma!*QIA*p;a%#UotFo7Y(+Pu04p=q2PT!680kE
zK81yjvpKu`Tk*aZk@5rh#<_og^YLZmx1KVdb|QKHe|q=FpBenW&W!$B(EMqBF6v41
zFKY&fy7Y9Tq|co@2gNZz_cT6X#SnR3%fVG;!-75txV72iHm@ED)(Ma(8^Je-h#H^;
z*BKT(WvTCg$_Bh^+g>wX)em;pP<z`y`vSJ|moEfU4H@t|uQV=Ye?Jn5o+DA7tcWNJ
z)HN6keXL*&b-fnqx>(_2Bdo{QK|vRp*n+Fnzr(x&<^*R$BM}`P4I4(@!X6QX)!n|1
zcWgsc)lB}+xR+vo#<Qi$ypN!K0Gft5%a0W1i0J5>601)9d=Q@oqWyvmT7i$Q=>8TO
zEX<!+=&%31Jv#qK@6!L4T}A(#aeAq$%BZ3)u@6!ZAS5RW3Q0uoTsKn4hpSw(pv=M)
z2%l_gZS97IxDHy+EZ77P^M0ROy=$uFJP{5W&BP>Z266%JRjA*133lsbLZc{O`+he(
zB0^br7ep(Nc9ls%3oY7$usibdDk2ySAGayv(*1;OF<g0PbOUNEvL$HtXa2jdZ%C*s
zs`l~Pkc=L5Uq~Ug_JV?x3V!fR{Y9ZJB-n&_nEXDv#-CoC<MY@rg~Uqo__#hu{|}%c
zcQausQy{CwF%T`}Ssi%&P707YF&)g`{aC7GB3ut$ppF+huNlTW^qU|7gkhjl5Z^&O
z2}D~%Y7V4$N(L(-<kShgX?(+_8^WB(E(9cEj&@rS<F*>sMCck4M503s(n6C?IuOj<
z5zz`D9+%Uy4v5jmYG>$Sd$NcN>`>u;^4ZVkdCi}3K$#}0Q;fF4=)#_l8xk@6&L82!
zZ}`^V0N9Jfbpd9<4S+^j4OFRl{0J<IanK+$6zCBT82Uj-tD%Cjas>P?4QM_v&NCpa
zVeLRBi%kMLZ}g5j0NfZ}E6bjS26kM8H@3#|s`Tb+QM)6u74lM5%(=L{_%mN5#I8rp
z=q4v;!5<<6<|V7dE<|8X40HY$mNQrhnUw&V8OX2WII#i4kvEa+)dnDF4>ZQB7ZRlJ
z;SgpmQMZ%=PvQPKMABwD01P1T67nD>GD*XL>Pd8f6xB4&@*n;(x$qBv!NR10#TYVZ
z=~z4Gdy#@?B$NhJGNkW=U~4Gw=QB~lPeQm6Ju;*adLB;a{6L9p$a>Au0o$m(HrpVy
zs5{pKZPs|e`sp~@xUy*iWPTVj)ktQT4+t&@FRln&hixRBL!hCi0>4G_u*vhvUa(Ut
z@*K?`jPnD8bXJ&CB8BbuZ_|UEbA%H|YB~jdr4hQ$gQ2<xhqBdAWqrDVIp*qh5o<Q*
z@r^jXd8pmc?QB}pQ<4tayh2DJaB4CE7p|nOY#L-j0R0VK_k4y<+~0STI3oJYA`6Kc
zn#Kv6MnK&{hisM0_mMo93m7;X<Ds&QH*Va+RBgt96k%6?f%jnu5`%g#6*&u=UD!Co
zL>M4~f(84m(gwGDE>h$I`1R4^!8h6O#NrlnbE}-~#ZVv=BP1*gHkzfXs+>$OhHC}(
zRQdU{C@me`*K$(fqP_)(#m003Dt9uKt~;E>MIL@WFoarQB8H>_^fd+D7Pv0JgW6{&
zU0|z`KCur?1`tw8%u=n&=8d_LScIoE1A~PvLXUwLa>MLLqR$8#neQu5g19=Mc!XX<
zRq3XU)TGMbs@;dnGeyL7$V4O6qX5~ugS=p2j67Fiyf6=|R~~`@z2J(T97bGr06MUr
zu7yKD)lDnkeQfzJRdLnf7l3j4Z_|{mrIMP1oZ~E}E1X<L;bCoKSX5LxP&F@yld7*;
z4LK7_mtCs5cP}#In?X+ms%3CkcR}?O=!P`Vye@C^HIVq+0GD~JAN9*WC@4~~io9e(
z*U!gPQbGc`^bL@MkexBW&SC+@y#qP^IP%lbwsB!<G&CZDP6CvA;g<$PSFcJiUO277
zCA0JjU=tUj6_Id!o?iqj#QgpH_ctLZ4+DJR8c!G81t^)!Lr!A>20jtXTOjMJY@_ep
zdj^gPp<<Pnv6QrQSmzA<`KMiSMuArH>ELQa1ngt`{rd?N>aU<ds{Y?`ksdIlVIv`>
zc{K{tJ2#Pl3-DSh6nIZfpaMvf-=(~^j%;sVNA@SVY|g7qR)I2dPk!dJ@ga~+N(msQ
za<$v#he-BDqC?Fn{;Hi8?5xQJ$T|!DMY!VbOFPJm&O(b3=Bk0B6_N@iBMaKby~w}t
zILR=5LvLC63uO1flntiQ0uvi+sT+*1`3(Et*ye&}J=wvEeA4&X|EKH((o@JQ$?!(4
z#!JwrWMSJS(!HP}k}oGf?MxJOr;%8jYGVs60dL)(h%JIf>*<%PN|wzF4rZ_c5YDjz
zO0sVC;(4k>;%^%Q9BL5h9CiF#JcR@9d8r_>ACebDHmn`T>S3)bBHQVPVfz9Uh5!=I
z4}*1qz{!}vmA=ZPY&=})Y-lwA2z(Ck{bNX6f*6$sJNp>tZaFS$f?R=QO|UR`uj6Tf
zNvU377y!{<?IV~+G!n2<EbSfsDw1Aew@zauT|a?oRW-N;g5o-4qvqf*+tvXvVS$y;
zmyyNFWi`wXBg{5>08B!OuQ9p}1c5@Gx)TEX%k_}xV_iGU)2-)v^7*Vg#J^@CAqD#z
z*FnRAPG$*Pu5h2Q{q3DyTs-wPQpPOMl#$Jw?yHUT$gWc*h$tYNw;;nN56z`Dnw%*#
zH1r*8BSChYAo?b(unfr3q{9bJ$W%|ZvEvHB&a~J5{+&=|n-^{}BRRqzXeybYO=g0}
zf)F+c=4<Kh>RbUi7Iyf|?+eoy7#hxknhG1z@^f+U38Ci!w3B#0mNxZ2z`)iU$*8Qq
z`nw|E6?HTk4bIC8HrTTV<~eLp4MITV4qqDRLP%x)T7>l}5*A`TJJq2p8#lKSuy)-E
z+FFffg3&J-FHmgRfhac9OD8Jx_+Y=S#M$K(I?7uAnBR)H%N(Z>cNBU3|5By@{X`4v
za|Bo&FeAWRiGn7iU(g3C7A3Pog@8`<9#eLUVZlv7!Gt;Dh>0V2ZxH9c!#7x21Lugj
zy;}{()P3GVb0P5|SOIk|A3s)?SR8xqgg@~7*Z$PsgA|^(8eT4;QH?+H<>=+iZgFI>
zC97{LrFX6{oBk&Y@b1HC!kZW`R}RzH#zUb}l9IqeD3sAuu0?Up6Y_9#k8K}tQ<UW7
zC}HOo;=ViuQx$|2MHf%l_z?6oz-!q+U;o>TT_y-%2nl!s?kRB9j6#KzBhI=85buS}
z?0_Ymva?RSU;&~U0!YgaVq3($r_XAut3!U&Z~K_5=AEp3^FR7!UZ%j1qmW<&XcTB<
z&*76NDWH5^2W|X5vXLu03wHXTQ0aBVDPX;ssur6^Bdr?rGVID~*DcG1;VK9wZA5@B
z@-CXwh>@F{Tf7LILKLb?aUIwQr8E-zK{o4h)D2xefPE0kBh~IC%~z0L!GDU7g0uBd
z`e6zCB^k*Kf$WE9AQS4x%hvQ7;v>G$1vCkAG2YEK03aE_rbRQvk@tJ``ymfAxWUNG
zj1Yg3??%Kv0EZ74x{j-yoCfmD0!mRZIB?3ga@zp5QE6U7-Y9G#4i7}|!bh}iI_Kj<
z-6lXDhHyVDB7!jV&!Z6H{(LweWX}vre76W(z~~n%J=T`J`rjNM817Rq*f=E0!}Ig=
zXM2%{N1)_lkB^Fr#Jy=6Arlxsm6??*4@LBy67BK9SwxY8vlp86$^`MR`awvT(H)?0
zg6m=#Lof133Y6Rc@)!q7X+)OPhNliNHjG(xXND89p|hbCC8Wmu8J+XTqXWm78FpRj
zhRyjov6kf$U>{s`ssXGL1A$1ybm4}G<3Be=A0f*ql(OSypV1ub)eLPl4235QK-=t2
zx_1(sL{*jJ)+1Mcd=>Yh$%4Q{BLO>)AZ~UmmjF3E)gaiS1%Y6&7Znv1Q$ZkveWeZM
z>S@f!wlDH4Pd)*tdNz1$Izp=VyVtp#&W?^Js`UyK|9R-d<0*#<2*b1rTSBHwlT{@<
z%fR_REKxLUU;%GBS_8Duk^!<g)9#1ZPDeuZ?1c^s>M#SOp&Tm#YJjA7I+7!ReMidg
z!~+;x6JukukWGLfZ*_xB(EZUsO3Qtt8}WA_65G@|w&Ju7qh$j7!eH7c0!gx;ig#50
zxiC1kVvIQJFwWvZ<XQ{v$9EHj%B*L{1&_t+1|f2}^75DFGP_B!os@PdUf$CCYP@%(
zxAeXK9b?<!Gtagb{g0vgm+qf<_Ci?rEdD(Ld@MC3%_N4O%8ZK4kFwH#j=W4!HYrM9
zW-JY-!ePbOJbs}p^*9eFD&i~yKFziJ4j-2atfux49~uqgsztSgL`zgB&aHB^I44BA
z(izE24z9)RRXhFowfXur4h;M#@JTU4LpnlM&7U*-pp^0NjECZj{qWGRv}6U1|LJHg
zRwbBIXYueHqNpV<B{)x#7;}-D50zg{PEH1bdPW(84uB1-RQ&vv^<(ox6+{660ibQK
z*A~!G{e9V>_a=>sFP%UAyzU0Qcva9jGz$9NSMXT~2nl^)Gb@hX*Ei4ZCkvaIG2vam
z?FEQ$l+APJJP<qmr9jJf%31l)Zv9gHV0NE@?74`wH9LqEdGLq{%}OT%h$%1v=UZaO
z<mKUmF8j04<T4dCH5LlCcYFeKCJ@LyHYD(^iM3T!e1n7ziGu_-Rnr=^|2aP@*?evx
zv&3&zA9qN0&O~EQE}wy2OxP%Xh}TE4>z;s3D3oVU!1f?(hzi~i5FkTY1C+(H6@qOT
zsyWKQ_D;gKIHCLZ@58S_k64CK<~`O(>brNZ6%`fXtwHSOB<i7zO!3GEMaJNe5N`l`
zcix24oCA_CE-8rv+W{7SOv#A;eI3Mho4!=f5!ccpgPkgJs;Yi~(Z(P{RO+_F5fc-W
z)H@eFxS?<$SjQxB$&QZ<r2|Q{_`qlm100m_yB~H@dyriwL*>C9WxO@mhiW}wQG$hn
zC3wA<n~Mu&EHzt9L_ra>yX)dR06D|Qa&lgfFgf8(d3&SM@1Iw$e!gnb4`VqE4gZb~
zc>p1lyu3u<Xr*Un-nX^od?Wr2Q=dvcy>$+K58oQn)hAH^XYP`%f!2Ex^)=wyl(p*~
znc&Tv8J%Ut<IAru(_gm?f{2k9-q6Xpxw(Y_RILuX4lpIvN~c>sxFo;3Z2xmNIAUAn
zvbxhVGVYm}+=M+}!I6=^Py`fJRNlRRe~K=&u~#=FR`ofNMUhnvJih`i^As@OrQnE&
z(`A}?@iM-UV!aMJ9x?1ct5SR(U~$z_Q}g<`jdR*od{op~6ayopO{qJGCqD~}E<)-C
zd1KPTBNau(7vKf=H6SvF9K#jWYPYiHHVhzB5vo2qW@g+QH*T<w@CK(f>VIS%krh46
zJ*Z|ndt%D~$BCa#fzr%#;#yGSm1*pIqaM=kI9mow?6Ixwa~qp3WiD0Ko#Q#ugidn;
z;F*og^A@)eCj>UcXKhB0o?_SkhF=Nj{AZahJ$Ro}c`W?=*K2mWF?nDm<5_w2^eCf_
zB0n!k8yhpAYV|qlOpE$GcfiRMF*RibyV3{Aoy#$XBM(YRR%FbF#3#yv=`|?)Z-6V=
zF-){yhUrcWGl_3#6PS|TL{s?jWgrh>VP<aW)x|G^{q)~{y~a%uzH;f(CpPa4S-5<-
zrrPs(c;eR9d6;@in^;ZOsat&~rRgrij9YgRC{$;$<J0o};_g0EN<c;y@a@|}ZQozD
zoqJDJ{5j+6u$MfQ6cz1M4bG#~a|nsp&@aT_-BVNytLGUwKQa{i-knGLir8Mwse84+
zAC{3vw*XXTC&rC}Nep}L10ftHd_}AhLgP`lpHe{~z(%EKXMcvk;@i;B=Rbd{GNUVr
zAz-Ydh5kElQUseKTDoWK+D(gK)GcXGW-RG?6V-wOw+uVNZU_pJLl6H11UgBMA*pl5
z8XQ;ik!mt<!JNQ&g-ftVOp`0DavQpuP^_M_nTXNE%7)>znP`$xX(#7*!td_xc7hZt
zRw1n;Cnx6$L=JU;$E9O14Y2L~HIPbuLqmtXeaM`>hUXkOl(XEt`Kn0yn-xR2q$)F^
zU&{2HoS!DuS)`hv3f(h|@>Sig69ms8#pQKMy%9-@aK~X3v&1FY7dMkuqNLrQEi~zq
zhgKMIk&-D-&ThC=Z~cfE-;CT3XQ7yuopOccZ^llHTpJb&*;VuT>(~C0m%hGZU`hKn
z>VJZv%7aHyAT?}rq4;VQoW9m@4H|Q%eY4rInCF3%)Om<*JcC3*dxG3>wfkMDZ+Y-I
zfwSIT;3;NnmR$l&MhKflhAkssYO6V<2;?Z6v2ouUHv`WB?iBo~#(VjVc7ctzK$V%l
zT3%QoLviymOd^`l#w7U+)N+*cGd4Q9(}o2kqyb-hlkv-#0e=Y(+&@bmIuO-r=*rQn
zd^fUj@OwtL>BErmId)Xx#7SC-)oqXK1O&fU2Wzu3=XHVjqxxr;i)9y!9btDh77E#E
z=o{b2Q=OZe+svy28`V*i+}zzWQN`wc-f-fBu)h!0uZ)#=$M!Tla>aq6f!$$V6(tOP
zzH{r*KP9%R*_`KHQPEX^n(#a+aWtA7>da$x_1FFV>gnC4bdHS%2Og&|3m?4}XMgq=
zYdQBh+1YW0Nz%gnXJlf!1y&@Ut!x7SxuhIvZ%$wb*1PK_P>8;uJL-zD51OzGSqer5
z2j{!oFBANE1v^H!8u}_hEf~hIPNh|+jbKI}J$#62@6pf65}iS|B%p*r2@|1G#m63m
z{aGk4z#|S(X}xnR@K~nHwMRK876bdtzruQ92S$rLhQgyFN2WD=rH?iGI=fD-(o*a{
z#hX9tplJ{uN&)!_Y9S#Ca224MK2y&zw27?D9iev``~7=<;&Ou1?{k{vc8%3E!#eDv
z;Cy|Ct!n2{fX~%@cR&sBp*(xrWt{<hB@1l}*gG7A>}w?SKLsGMN+5VJK1gu)EM4e1
zq*h(GjBK8GC@b607)nnjDGJ9ui2?+)@QIWDpR#VG#!Q&rJ<A$emXniXPWeFa$C4Bm
zsur+lo?$DgqLPv>WO1R3ahoZpWm&&VNda$;Z4_AlS1_^ifhPDaz#~nDc<vNrKp}vQ
z8u^w(d@p=_9DXK5N529+XcWX>)l%ylq@<*IX1%N}uniTR9{10X48nTTVJDuaC4~AF
zS~6aO-KeeJz7y4FF0QOh2tu1TT=D(1PNYyE2{nkkyoSi3{oR`6WGv9&9ymDgkY2lX
z%Vzu`vuYj+tkRd7tV<5LG!m*64lGx2PC?Rr&_G}mn&mts<lzBPBIf4IfVSVfJWu4H
zA+&7@6?5ICs(I}dKk!35(ty(dhmchv3P=H#iLl0jox_<A!XM-_=IOabpFN}tz4u-o
z%Xlw)q@&~an4g~}(dEl03;J*a#K(|IVyF>kSfu`=t80AB__|t-vTLiR21l>MOP(EH
z*i!4t#;6VEvNw$cxzLEepP%r<hkjDF(W47fQKPh;pRn0Z@zFVDu<3e7o*=ti*%irN
zC*}UEhQ>+kaUuOvi!9sdmJLtoWrrYI(tidpy^TPOK>Xd0<QDHA#@M}l^4j&-Y=0*=
z!6|t9gANp`CT3#X(@3dn_p1y%_fKi2!eIdO4BjY{rpFPv%R=Y$>hGt1vw~GIz2O4y
za%H>W|K;~wp5OlI%a#AE({Z9~<t%rlTnmHTKJ!g`RZ)+Ce?N8BK84|v4*Tseb#~H#
zYCM02QMihK-ifA_xCCvg%al7aD{J9VJB`Guy|E}3V9$Rh<SIi!pE)Knt8+#UjmCR?
z<;H8OF4H1RJ@u>tjL|>86$#VUl?p1=R#SNy&M5^s(cw>yME_j(oeB6ZUp(G1C?VJ|
zlU}~`_eYP<gwWLKbM&c9nii?|w9>AM{QENk5Di2!PQ}Zd$?BekE1qWj_kgoTqK^wB
zRr6?VG1;+FqR*cF=Y&%Pr9)_3hmgCh!@kYOOtp&t??CS2!_0sJEjtaJ0=WTse&3}2
z{Zt&e6o&g*-F#i&4Khxp9KQVbLs66xmjKLFIj~Bx;1ksT=avR*0}R^?FDpJ$HGSrn
z`}yA=1iea`mNUGU)%~&S1i_vE@=<6*j_CO;n<8}<+|wtK@m3YR;uQr`ZrtY1eGw6N
zveUuw@)<8E&sO6-|3=FZ-SW$bT>IwRbKYJ_NtBBXSMvHj6Gm@EpNOYC3;1I&=w#HF
zC(qCrU-5VOnD!!7W<0$x$@f7ib6Vb%l(%pH?A4X?I(Om1Myy_vG~IKU=s^wfntqfk
zbIBg9<~$<FIthvU&neIDe~meT-V<sXOuYHFZ_@yd^UX>6L$!CqcrBGgh(L5!w`t$m
zg&HSmI!A~*;RFW<SL2=Z+6ruhN(awIVr?}r#3XV?OB<V*tk@HaqP)O9*n2Ml3-s^0
z9asU7-`zk!P$u(UzD|c-IIVMs?+R7qH+_zDMMji`Kk0UK<OwxtY1|e=PA<{_j7YK!
zv_D@uW0$IgfObBDt5;7Y<@DqM=y=L?#Tbf=E=RN**=et0ceN0jpu{CHQPF=V_V}X|
zhW;8<QTKNPYA&i(?tiBMpDs`Af&roVd%{w_NWc9H|5-&{ORrMSR-u>VET3iBzGA@t
z_rneXa~yJ!;r(u~#zuuB`kyKKIFau46JK#-&3GwM_f!9VQd*QW-9O(Z`Omkn<iVWf
zy<gCc+$C6ue(Amc9s{esn6EdYYhqTDYIf=08Chdzu%MayotA3W@6TjBftt4CyDsQP
zd<06;kM?%dd-+$8IvWFk^9AyHb92jne(4l|sbNxP!)c9Q|8wbQkv#|by7i~Ky1VUv
zZZ<JtMqx|wS8zeS!T8*v<fEdR^%s5oqE07|-p-zn4Avf|o{9?R_MeO0um#8I1f<}K
zEE}#1xLkpNVm+kuydk-|F0U^t+7*f1EBW&-RpcoQyRhm~yc&+z!egOgXiAl^p9mlO
zS7u}_4>$KO*f>}Zei5J_mz($D7@|-Ejwi&ucR#G{SqXxPZXH*sE?K}lkQ2i~#pPP5
zYH0;PZsRJPhc^*5HC2kRUcM?Hm&h25SjuqS--Fo$5$EFJ*>oC)6xs`9OOoXKj`NQR
z2!d-uY0e>anIxuBA6avv2ZVp_%t05Ni)KvP4`XZaDF(rgA`gVRyC2N(8ZV$7+91?c
zWGGUOo_I&X57HAev$O4-7h&Uo0P#5jf}P6+ee-#IP;G8&HTnAaxlsK5+_1Z}gsKV8
z{L-yJDHz6Wjp#Dq<f2Ncg|-6K@3ByLOw6oJv=6kQiw{IZMXR2*w)^?*lK;71yBUy@
zIt78q*_BEF=f7jja#!v{)gCud;Su3P3OO_f{x`>yBE`cLc1QuPcmR*f3YrvH{YH(C
zT_=THb(ZL3<lLU*BbAUU(u9k&u(<e>G1n7FDL#~x^uAwbHyOTr!1RPCHs8FDBke1z
z+DGh~?JsP6Lp_6oZy@|T2J()Wg2H9-!0WGIi-aCTwca*Q#DC9M&-qzmMF9`U!Uir0
z8$fj7xh;OLU(ed?Ltgq8pvnD3#~Rzkb4aPTzegAP3#Mm1qyrY$U+02;`DABx0v-6q
z&o2%ZB$??H6l5L|>J%?}iAxCC1TqWypsxkgmT%v_)ee@~-qNW>QHV`@?z(#u8B4|S
z>2;+)jvq!Nv^>$RBiZut|3fKezOH~8+S#nSxcF(o{bdn;@E+QYxrPF(U=PYNc-%JK
z*aX2BABJH6DH3qE(lIa!x9w-INJ>fF9kS$!T>)$V7wk^ihB$g4>^EDtd2uN5c6$R|
z@_(`RCeT#2Z`=4L4Jr*v15ueOW66}clG@0WA+wNVCNgA7i4tlTn#{=*QphX`p^}g?
z3kexZis(BoPtX5d|KInnZ@ueVpVfNSli2&-_kCUGb)Ls@oX2TnYdZmE{=garfIm+U
zR$J#9gwBqYZPiU@fm79LC<88acbh@wWQLk`=dNAl5DGj3oD<{;9p-Vgra|3cnRVin
z$Ze;3+39XvP8E9Uwp6t=H=jUF=z->&-QWVlW#uz;SKtD(XSrMsqn;OKWm>u9Le|0U
zE|-mj4kNny=UI5!+NOtdak`iQI3U(k=wbi!WxRhHgy95wXM3W`e)FK-@?O7Pv;N=k
zyyJpiCWUj-9bxrGflI*_7<Hh8L=<~@GA}*ikmkjOxZD@cO??g&qfm9!gc`2_E!R49
zOqqne($v;okF)OQFB3&Y1|UF2ck22#>JdFJ<r#9w*6jr=D6u|2Hb2zmhfd=>?o5~O
zxdR92i9om=a*3C3-YD7I3!-~*q^<tH!-=>(c&N`I;3l{cl$+;fc9C_rec!&#uvAb0
z6jM6)!w_qq6Na*oe^kD>ysk)KAI^*zEWh|>n-Qw<g>p0Dr)xHE9(1bQxmMHE_1EOd
z<Qqj4v+U!K(CrVOl?PqZL1qC@*=XD+V9QDIhdoh7<H&-mY+R#MDa<$XNAlX75P~3L
z?ZG3;bF{U#rueU-_M+s1*hI2DGCDdG@S$B>UPjm0BeI{38yXt&(GMK2m5Rh0CAT*_
z^IFYVE-Gzqlda0o<97PBzb;f&DIuz1-;&Gci&&nWon1l;$37XJxCgsR;7(?M*Gz(U
zI_)lR3q@-K4hdAcQV(--Pdhl|NpM4oIP_iaf$Hr5u;1PI@T(Y2+IWhQZ=N`$>f=-5
z!$v`JN$^VK_f=^2l$rbsa-~coPkOuZXmaDejun@JQzQr+itQL3S-*^lsS-pRZuzHN
z#VobtgU62DP&orPhFjfJZj|}208JND;D{g_J^Cz9Cm#i|u}PkF`XViD?LMd3i;U|Y
zovP=!85PAPD9EH>_!#W!G8ia64nGH&81O^;kgl<bNoW7la$u-JEz{d3m)usZs`KAv
zmfPjNcz<`PDqVQB<#Njr`Lb`fR7)~^3KnPR4r@4+EAif#`XaY@|Cfm^oPL!)AN`Kd
zF2Xc6?$M)1b$f6^p&wTfiwO|KPy~0Dv{)4zE34PkSn<fOb2EE7JdKh6BL}ZoC^nzH
zy1iGL-Gcu?yYZfZw{JBl_OH+4K$we?ho1TVg9ql2Oa5$(ooB!~40Lm=auPG7;fpDd
zy!AqlfQH$F$y0vOQ)rz`07lkmPpq}j@ijQ<v(D21T|ht{k;PnZ!-m_E`EuKGMc`+@
zId9D{1Rf~25b+GnXb;d$4^&D#j|9YYkTGY(59``NK1`L@B2i^%ou$ZTfVfB+=UTAr
zi;j-A0+~QftEi+zx*a*f6SK1$`U`L<_l*@NZ*7d$l10JNgP^{cqIyp<yKYhVNZ{&K
zt41e%TTgvMUGv9q4Fin57`OWU-UFe|;tS>eXt*>3sj_Le8AVa^1vr3<*y85z?o%oL
zwYAEmjsuJs92!~)W+)qs@%#RN>VhGjJeL)DmPnmW6fEXke#9o16@qscn};KO7oi5A
z1LyJrF-MkF#ls`N?o480qU<KBnR&p|6;RXDQQ*pUzi!X+Lv3{}^KBpbbN?Ll>*ra9
z8_chl`PFst2pXm}krcoiZL@-*iv(iLYMF5gAZ~)$5~m-6S-`62Y5hsC^qb(AnA`@*
zhMCCi!f5p-L%<XQ8&*g&9DByhP+t02Y5gJKPg@Tw_7x(}4o-M^fAQjnKdLRMv=7g&
z7+EdAykGfUeHy&AgrW}8xP8?g_*>P*AECXd-}nbr6zXXW9UZK|6$M6NV4`6tIaM2x
zfeLq6L#}Ew?od8t`S`4egh<d;_N4*-`eEZxmnS^i_={s*aWuiL)6&x7wE6bH^g*Z^
zT{LtQlx0O*5?hApa^@zZGhR2mdlvu=K{s6Ga{N|gLo}p#=+Ft+Xs%(PL+A7H0vDc6
zuVKM<h^jk;R``9oyrZ!F0is(HZ?HFHRI8R;p!=_Sx-GnVLr7q?-g0Y%6y!!bF0bTN
zzgA<Zk*ZBW@*lJ3w(6>>Gew4P8x66>PGledIuNCJ{$=FB>)bUNUg<uE4jx<tRYAwe
z(*a09EdUjp2uA4`7!18Do}6?6{}FDg8H0F??iWefPF)K>Fr_6k?sD)rp>ccu-qW#b
zpn}112T36)`9PD4j@DLHRnb$1hK9Bb4d>~hEtYcR=ux+siKqWNYK08+jK{aDkg`xT
zG&H&+W_J8j)B5Po&J+Mlm5L5aFS-137<jugXb1<rdbH0c=H+dGa&OY$wYlE95kPJT
zfEm7;(NyG4`uevULrQUeL5`!}xY<N`{7ORb<HsU>eSO=&xs@KHSMc_hfqvrJ_3P)6
z_ip3ismv<eVUVG_MbZhaiSYJzs8%|BxGgGNPgmC*1Q&bNJsD4C3b9d1=8)g9V<}t<
zt8mhP%?h!<T_6~5XHoZ6LPA2?t?QplpS!*D%0Ia5kNZM(9BVWk(^69lY+PED(wjN?
z`B&g0fAbL0p>apm?)~7=`ymx8#iDBE7U{FEQfVvDopwvi7E-5WiX1BA%Cw8<?u7r=
zBDhJoO0{JIq&2Tx{?Md^75&4}^=y~WV*boL+YHSPM^sh6o_)A&8F>bz6P(af;D7Qf
z&X$;jllCTxKiJN}v~Z~Mv!P!^S9N{7Rp!W1?~|M@XKVWW=@w<qzxW5MnAwa9J6i3O
z`e)XaOP(^bDk_d%<7Om{XyIW85dc7KBA*+#7C?0hSUt(b2+2fwc{xXDwNjGS38-Eq
zJtw(`hKHru6Y=pNYQn)*G2p4_*K;;NZ~Y-}V9Up!STXs+vP`J@<CTM^1-+=YzJB<4
zH*fx5EdV|=4t)UsMEc(j!JeF9a}hom<rx~F@3EGlmjK>BTOlz&WNyw$Ob~%SH?_1_
zAoqH7T!45QUcYwDsd<)kydz$Wr<=~z_MFAWhLVIlQ({ywBJJqwD@QTIqL%f%@^|sk
z8mwJYV(TuwQ*`CY&<#mT<HI%p`E@ZU2tETG==e2J-=M3bvp++3+Byuk++%_hEd1Dn
zkv_5=(4Jm0j&I}koA_j4$L&Ev*Yy5<!sExxNVibz2Zx0z;Zxxk!pFy*vSfX?x$GnC
z7BRW{4SNcuLx%$Ae!xj*3H&yzVbU24lU+E=xO+69qyrbI0qhpAT`!>c13+`}eoocw
z?qm(1U5RZpzc<X}^^2!DIo;?Qpmcjv0};rIfiQZ&42OV=Upq_MPMmXb5dj6`-aPw1
zh8Q>E>{qK)Ubsn3dVsMtZ1$u6*ExKKb5a;5GED0Z!BH={O^1&KEJjnj%!3^|IyzGx
zVcb+a5Nm7eXA1{KJ$e?5mB$|>C3%X5y}?Nb5zq<TFG{PIVL{`?hgoO#m7jxxwioIJ
zItm29-DHLVNv`3goBoDr#fl0X%6q(jI<<R$d+jllnydl9mJpwW8goX**A7+HEpdC+
zu&wf=Ho>x1=j4dHeKPfZ=GCq89H_^h15>?@EDkBzRTy!DTp`6tk$uyWoDzKr`__wq
zLr*}X5gmrUGPDX6pGVh359)$L06KlKnJm!U|3-fQ0&<o>Ihkt^-#GY{XCn&D;Q{9B
z$L`#{>x^ydP<L5eT>KNvAF7xn+WjG1&U(?KypMqmxaI_dBNBPE{}h&R{!xak_Q?+8
z8oy<<kj23`)ZR5VE^N}<dk4~}s;4d|1f!+Z9Ht<$nJNclPucEP=vxitF<8rcnLS7Q
z905C_50#P=vCYQbe#%)<F%t|0XbXqv;5EN!z>JiW=-=uF<t8OnR<G4mC-{7G!CZl_
zgQX=m4$%6JopI!(vaXx`o}+qR`l=Ea0(#%~*~4oXUd70^_10)pUe?wgIC(Nj<xDaX
zP%O#%B^UF$02Sv|H2*T*Ea|ijt%Zz%&n*N??tND0_W-KBjY_MopT<2}!_55Yol%q@
z7eu~Q$iZby4xpAi0j`+TU68YUZkYYcp#OO>Q=r(#G*BNq))2)-<L&`YUxDIcXyRU!
zw3~%}Nruc({3@Q!P5}W$D1wr!O|YfOb^+5orC%>F6l2K4T1;KTkR`taSr)#g<lfiw
z49P2Ml7tc41;Jp=mMvF7;~~BFDjB0ynmeaf*@2NqfhTKnW!s)T*@yer*sWh4*fJ{&
z_as)#*+|LERKih-JA=og&BubCK2VS)Ge7%cI!%xLWn1R1?7Z@0(kbu05SGD|&qg65
z1?<qPN)|!(Jv}{yUk3;9Ik!41J^jqD<HvM#`mqcUGti{<wpV2qK0D3){HHDi1nh>g
zawWS|({T8qn0`G*lP4dqBB3!2+K=7WWD5ev`RDiv6e9@!+ji|@gzNKOUiFw)D&4_5
z%?OISSJcq_X&L$0;i$&24?68j0Gx+F1T88m+6{5$RIQB(GVL1$#%meqKy%1~7x?sj
zk26HNo6xmdZ4qBuDa?%GVl(N6Mc+W(=cVM$g-KEjH~weHe5CAVWB>fxN;VZ5SVeFJ
zUoU(Cc=EvKplGO4<DiW!=a4*rBI)G2myPqC=#UkgP|XW(i2l(16%6^ZInH!R=T9$m
z^fn$ws*8pIxzjdE=PQ%X9hrS0BpnJuNz>1HvXA=v>nZu+AK&Vccl)D{d7WeN#1gm#
zw}vzTmQV*&Ox|x1KxUvg1P)e54IT##^x-paV&%hujTJOse7JX1l=qvfzzC?~l~@&$
zXFjhaN0i-020B>xJwp+sKO1@PQ#M0ZgSF!R{dAy_v2X*hv>w#mVF&vI54g2t@`|X0
zM4KZR{t0bK5)6Ie6+n+z?LJgzpWb{0^vpI?tP<@`2Za?6D>eaw!bY?UR$8xs#e=j6
znufLO*Iy*GZ<5wjt%WHXwW`k`DThb|kZe!Gaa73A8K1~CI49!{&o_?Heq|(g5JP86
zxHb;D0=fyldQ}nYCg8#atiYzH`O)2wSdddb`|L>Ts;<^I&}pEJEmhVTCktBrf*`)#
zcdrTS{S!fOz;q5f{B!Xm=mAkc&DYqQq05gGAqXBHcf>p|r|6+%)R5OpZp_}!s_73%
zxE#G&$c~%it87v7AVOUS_LW<`@z7fEtwOIe($Xe90`!EUEFjU4Rg<cI@xlxM6-Q{&
zUZe>~7d16CP5cCg+S=8|<p7s>K=m%&5g8E?2y?DgVCZp15KfEuvvzT8+!%yK$&NDY
zr0iOP=zK$NK29Xu)!&F#2a7^ATB;eSpr+p`U{B12OD>#eY6zy+@buiLc2BaQ-$n<J
z7EGGraq^-W;ewISv<Fa>@_ylq#SKj>Dfj@I$n|p#Mw&cst6m}wJ^a~gJVOlYkaXB=
zp`pJytP<Z1BiDidU;OsHf+Z?}RW%*x<;5Y&hQsaW$9mtYJ|PlhR^aRtiv8~T{%UCO
zOBU>#qeqWI&8l$X#P+|0D=HfBKfLaj={3ORLXHy6cgP9Hl{ZLv6VI%oGqIggKaj+b
zWGVGdp~&r(#33Xr;>otj^-o38Vb+uTM+ST-wE7!=IQnyVec3Kxl)nZRMhC2{9{99_
zJ3Uhjce7=TjLrk`gm<D>Lo!i!M%c9UYx$Ajlrpn}q6wwy>kr+Na!WhR`0gKFl<P<7
z8XZ*UC>n%(;zwRTu)-=l{>Y3D9lj8wB&eCDlM@;aRsvB9bTt_aV-OlS{P_hXpY!of
z;TtvMqzPVDw!^n=vcHb_G!=fkMm7drU9`$}eZQ#Sd)pTXDz=2Rzx*>c$8%G0X<u>!
z?N6RODHI_Aul{i?97J^_0npqGO|+vEIK0Y*2jw^(0O2SPySa%01w$-*UQw|YiXH^-
zEIGOB5(N?6vhJhz<^~9X`5`7U^7Hr@l+$mbg9r||+!{^<LiNxs<`2+sPmoJQU~2pG
zaZPB-G~fjAmqyro2iG-!`C@$)VIHI_Fjw0>`Cbv~78YDsE!FE9VAdh4Jl<+@7Xi;p
zG%S;0=~AwJ`wH|pLQ<aQM|6YX&Hb}w%a-;N=QK2~Rg`t?OWjW1*>$hgD}PWxHJ121
z=tT9zcbALmrZ>mDYPJ@Acw43KAVLZh%7?K|lH2YgWBBxf5h1-B`Nl=9)bGk$ASK8s
zh*2Bo<>od+B?4~|cbj5vDlp=K<p!J*`ED7ev#Xhneb}1iYU-?PaL1cs0fw0Y!<CJJ
zZImhkbLR>IoA15*nrvX8-4p0{=Y+h8@Z=d8fnX_JqFx@xeT8NUfFG&XF2IbsDs_o9
zY(Se!CCr%_=n%^m!9=dF=_hb*7`DIZbzU>I<5fOE=cW?i_R|AKT@mv3W4*ZRL=xsH
zv6FL>4OF3tyk25Me$J=Z;9@lRt)7~iQVVyqwpIYn3*UwAiQ{0)8d_V2-nB!nyZUgW
zQoM#4Ecvh|6nuSslXIUPJaAw)y2ngLj`q?0r7;rlxKQ6Mg_3AY=SDH&3PxtEmijKX
zEunNjjeAq567uzPb4LFh24DD);GnB&`?7$>^e<51fTZ3Hd~#L4KnHvPyPK3h@dsYI
zglG0VF*|3+jT$1NxSy01|KPzA(49(&YjJFmc#FdE?n`FR;A-Y#+m_6c@1Y;(7b)vm
zw4Q^JqYMkV7uQWOO`sB3#$|$MK*{SHbdl5t2yo-@LNW)CBzJ`tEOV5`jX*HF+!zON
zu1enJ8Ih1m!pUQ^(W6KJJq8V86_RC=<iZ-xBR5sw&CM;ms|X~EO>RPAAuHg|DQg+5
zZb`p+8Sn#|A0yERkX5QC4zL}hzyTl>{&_TJD5!?RRhnX#(bx{%1!PfOcEXA&wKJ*N
zCcb4Dh|^liw*Qu)Z{x|!G~qiu7h;f6h3tZi{Q$B8JmdtP&L#||Qt#DT$S~gyy2^!K
zc&USEg){2epXTfld*I7@pIhh0)G}0u%KkweJVuwqrKK(3p?1%|!TPI<DoQp2-Q_;8
zLaGPKBU9x}V`F29mSbLA90fRwT6p-?t1r-t=#{I-yso$}3@a}yQ*!JwiW!t16W>aL
zgO^3!<#?>Ph}`(qhm@2)K@Btw+Om(1?6Q}+JZ=U4fiKShV0DH|ae7#KTH14vPk}hb
zym)Hb^kwx=d8V(dL!V>3ZaT1S*XC@Xzp&(1%0i5OS=8<&0bt&fZ`I^lWSD>rk$zbw
zYxAA!7un9~Xl;54vW1DC%5+E9Ffc4$>@5Glzj^-K#iwBq7=Mi4ey7~b>Btu^+o^3+
z@&VfvK%f#HH~uFG=yD)$_c*#*Td%-fk#I2_;XE=j?fnJ#Bqp=6Kx5be@V+2Wpiz&E
z-G|-er0drSh}pL6Kv`#0jTnNp@3#VNs3t&~R`;q2y~tq5viFo-EL31L+PFx%Ap$w7
z`lS@2Z8KuoPbUn`TW_dYus4*N@V?9jCInIhf1o{NuT|c2Vt*%hR2@<dANEW2_avPY
zs@)vX2!z`rYx0Ard?kHma_Y{Mc&>^8Yyze&;r@LF9Qt_ncn2U&N2t{7sCD0X_OH1W
z6vqJzyKgVMT+}DO|B8|3|LyttWBqMa-q<ECuA!B-<63bROeRAr$1g<DNAIv1XAM=F
z9Wq+j2<ewItF|tD2k>-UX(<Qx9*{y{>sZi}UdF1L>zxPR@kD*bmpP6jj?f*FlACZ?
z$!2n~ZQgvjySv+D-_r2#@WbBT-a&0Xp7ZsrSUHz2U2?E>oaS|W-|gn+{4c}XG)ARa
z{?R&^*Z>lHPrS;-ylD)o5yDX|Ey^e$D0oOsZ55>ZVbmMEo+Cp^;IX2HJ5kMfN#4n0
zNkNOhAR?xh=onJzll!DNCzt<ar&GG19YLCbFmID9Tl)KMO4hnVYmpnEfEX3ovuhbW
zz$|dS{xGTVNYcJsW9j0V`Be8eEO#~mxu^g=7tM-+AYnj8&+%;FOfXRy&qFbfYX3R$
zU4-5Uz$FGnEOBplUK%NE8usPOm(JyZI8s48Zq{5sa@nZuPnJ>W5ydbRSQmzdY$#6F
z+djmM{D8djH>RAG!*EW9BS?CxyF_0_4iaB1CrMy5QT+2P%NN5?IGF6U%KeH>{EVII
z@^kA|A_WG==|GsSM5^%|o)P0MW%DdZ%|=3<7Tz``{E0yZ4j91O`@u3I$1POVSgT1+
zHee&>;h(`*$LHj%$N9<;dJ+`|GFYLE$J1wzW#g?7RO0jVHzAt>ZbtD3C<2>iVnAre
zc~sG4V2Z&JH5AlED=D|o&E<;$Z05+2DE?qb$b1kewuPbp6}czvz6zPb^w}dM_fTxA
zM!W(+H|vL0gf;TRUUgJ!8}p&H&}`%6TTDTs1=w{;nY{&q+o;dR#U2g4j3$8x&ZAip
z>+ieAC^~ro^`63Bg1##h>iBbW*}=h5y;BTh=z&^I@qiXM8-lJNdzksWQ1_cTMxZ)$
zhEx%y7oaM~poL3Oq<dp0-o}=2TJ+8;H}R7qx5GKPTw-f133`Jb!KV0v;}E=}`ndqM
z(ZfytX@u36R3wXloL=_3gjekaOJM|s?qSpSD_KRC0V3uIy%79zYr#}Y92QlY1uT_T
zP!xcYM_CZGpF*slrF+&OoUGN{iuZfl)N~PGE>Si^A_tuzu$Xa!bv&G=);2cJ!AwJV
z{eiG|Kye7XiI3W0BX?E|0=^w*ikMkg0uiyKWaYTI8PN1O7}5MjQL*&1Zh$)uG!Gy(
zMHv??(#0B$7cFY@cHAJppo2?z2DJ^uF$7ZA)xCrcSiF5)aq$)`3X`KYYk$$e&JY1X
z<6x##US{ShY!MUN4PV|2nK@<%sHvz_z#S{g>km$M^4O6klrS$vD&sty!Uhd4sw^{@
zD!&AK=K2cL#wZjpsz%9CTFC3rSVm7FzS{23Nh-#f09OGbkV3VmsihTwOF`O4he;Gl
zFl3AB7`!}l2Lrw`5A(l+T-&+l`Qoe>=IJLojx7&-o_@I*E0ko}NCQ`eb1kC>>OwT&
z7Ucnpm#tnsZLm^NabD?K`xkK#f8%J#>xBdJV#-6~q75*oP=plCM->$b5a(@II0^j@
zzh<0>ivqS0{*4HkHIE-(M#*;_WQG}BhqrRmI)jY&{89C53ON7sU~ZEZyQ|6z{&Pl>
zld}cDG1$Ij-Ro<oZUS;1o?3OZL8fH6Chv`XqWVwV@^(z>q2XL8LQtD8;y60ltMy(Z
zZhiu>jpPvULOWVYQJnE3rLYsP0FHq3sn^Y~<_WS8O3oY;&IY-#OY}#9RpK80he$`V
zPy5_+96CpVp2CO?yca!cOLO=b6Ej$!Ss0r@xmhd}>*3)cxr#$37-E4!w&hc6aFnax
z>P}J^aAfR6XaaGFG?*~F02k##gXmY_2dKy&<lSvVSwVni8S6Sgd^dFyGGElkn)>>T
zxdu#{>({cfUO|<xa;seXyhNv=(a{w8XUGX<J5^sn;0b5jQ^{`rMSK0`y&+5ruR7qf
z2rs;f*P|$TT#<qnjB>=;32@|#(NeSwDb0o0-+engV63us-MR}<b|zv)Vw?@nJbcUI
zk&=KehE(B}yr0|#f#d#Q`PDB%$<dSru!WR@1geJneMKIcdwydYLAko`<hrv_J2<l*
z8)OhV0Ag*NxWiM?k+xiu8&UZD#8eFFCU>MNxY0kM3g3gSOw~K0HMV{SJE$HI&4lmp
zK=SK^7SSGXy=wIZFe1Ix&ciuL7yhu@J`3q7E_W*#sDSjNC)&NUT-bMF#o5g7$BfEV
z<}dPl?0WmlYq6t`k1VK4&*pX6NPIp)yHN$G-)oo1az*@@EFsPTUG{JI-Sdq{Z=Ci7
z0qG)k!<*D>^g!R*cjkfK8^`di@?nS{QJ+y*uSMI?q?4k(kWs!r_*f&icEGuN;K>#<
zdn_tHAgaBbrMTnUPrY#XvOF)FpAsg*1V}QM!I9@Yxv}~A9~xJqOi}!k)HwJE68>b}
zkKXW@MGwNhqPOd=*Fic)@KY4V>o;uR{3l>RdOjV}Cv^P@dP2t0cOflXT3FcHFS1;(
zcZe!WxfmGextsYgF6}uClnafvZ$Zo&Y)tMg9L_|66a4b9j8;PYUUFiBoEs<l2;8sz
zSlZ|+_9tCA$eKI7jw4q1p2jIGE7kMr&6_H;>IK3X*=r9U=MX>S(5OJ6Y{h?xu<9V^
zWH6+$Q~BOUP~wxVjTAAwiW$WzXxHrOZw&j#y`tx!-v@%qhRBNA2S5-qdnM?r5d&_2
zz_Z*F9%cRI6-eiBIHbklh=s3uIhuBN!vf4vUSMCjsZcx@{qcnJ^s!mWfbK-ikju)d
z<>US#mUm^a9BgvWRy;_^OCoLDd`CB(>E%Ts6;XyIRGJ2QfIfe=LP3P0^<a|Lc5(6d
z!_<RdgW+KGDrx2|?79x1<MD7Wk-(sjKRmn$4Y9XilX2K$`{a^H>uv6j6c0|z<OS%_
zxCy2P>W#7+J?!KhLdFjkik&PN^c?r5CdWKSi?1_68W|9n<M)Nc-WJ032=SQWrV%+i
z^u*5yW)lZK2}x4v0pLsJ3&N(MUT*3EXXiZt?79X6ZXgS=w6r8;uSp2<lk)!0eoRbE
z9O~n>{Vw>2ZPL<hgZq{T(t|J~hhZ>%c$*j$y)S@uL4<Mb)-6<QE6FPWKLg`J7&~Y{
zAV?s39CR(3gH0w?<F#wo{9)ddod^u)IvcV-;}}CQkw8m!t_e<92FR31Gd6DILd^`L
zV=gS8x2>(UeL|kmJFft{WPm?mbAL0GGaFFLk7@d}$B3|o3e``&XE_B>{~(M*k6D})
z*$gTBX9@n+;NX|;?F*zNs!&d_-3ZYXe`Fj;dFUxn@DhCS)g7@FkQ6DjZG8y5)*B=l
z;j@5hIN_{KOiQbMolIhnJcM9T1Cx`I38nRCci90_0=9h(nk!^xq<95UM`V18L#H6x
z2Wd3a^Z_*{ivJdVXCyyS171(EUcvE%P@7mE?)!M9q*$?{D<Li~*|2o&+QqA$G8Yrj
z6I{SWNI@~=iUHhnL_`GoQ!X}Gzd#%0^_w>@BI^P^#{R<-huSIm+08)FNox+s8Hr6Y
z9=p-4@ae}otc4-R!XcZH5#al=02~Yq4S~O%R1bq&S|To&HS`jr@nk9}83M{2J_D4m
zV@Bi&Khl4p`rPLB=}7P=?QlaOeKUl?#WO~ZYysyhgehK!g8mH%^;uO4ii+neGI(u~
zsgxt$;CKxt*pSo%B%r95H%Xthi|Q)2g184Ar2D}L)QNo;5!dJPd(LaS{)>0B<p?Um
z<8X^qIfEgs0kFdIl;j**@xfBi>BAjwWR$*nwn0bVXR56~v@D=|%F1d4E{KVcg;ak7
zo3k5{FueNAm$%zzn^WF^&<BM9W5f!?T#RxiM?Wa|pYsp=t9WhuR*CBm#~2<Z!}FF>
zIyOY9tEnxa^!4|<?XyBQxRakBD~PR~v6>5a)OoynKVZA%5a6Qx-Uge6FdSj-MYX8~
z1)Cw-uZFpB$b$#GgwH|`T{UPH4F8gjw#YRgbnq4_*JVI60EAXRa`ts;$(t(p8?X|L
zlNg7F%b0Rb`eD-QPCmYXO7n6ofjuxydTHqprI9RW3A%+~3ZRI>Kf{hm+IXPe80Zxm
z5L43AA$w%VEcnctDFc}{RNmkFN1Mt%vRarHx-tT_fM6ZSBGH|o_bnhNC&!_V-s97R
zvEXYxef_}*hB2Z(iiqg{?m?wpyLYcWy~Y?}INh1QTpClHNLG)_+Jp&3$rjL2(B+(L
zEm{Zm21Ys!(N680|G?X11i(U{C&7gvJShjk7q8*!U4uc2<M1AlG8&D%dp88mG=%4e
zXM=grYGphc45vlWQV!gkBoq*3n88+)w5I`Pl$Ln|<BEn4AA(_!vRc-bb5bv1=O?&S
zl!Fj#h-cIVAVdx|jLLZG`;CeBm#&7!8gibHKBLmdDbjfn27W&)wicJ#0D4%C2FNO0
z6}xUdRNzEv2{w;JT0M(xoC$ftt<bi$tzy*GT;BlACZaYDKXWv48^^R2po6EvPP|AI
z!ID(`e>z|cxf_dZ9AKW5m>iHR{>xU_VD9<33|~>3iBZg;C6xp&dNAPF`a@VzC*Y<|
z@$W)vGAeVkWdz!Qt={8wXyusi`ZMcCngdDaGpu!16KVx}DN=0!Dab?9GDv|xVWX5|
zfS;Z>7-Z5xM)Y|IC7+P$j{Mt+>VYX}(A_bjfCAUBKdYq|cWQ7qdY4ua6%tU6#?zBg
z!85Bul`fe6{<M+&ycD<l`8<9mw3A#Vxe1g<a>3VrLkJTx{*r5}+-)?gZ=+BZ_iKks
z>I@yBam&EYhsY!JEZ{V;jBEkYHC~a_fG3GnMEWb|$Ajb_@$Q8D7#ycJ5_LUeS=;R6
z*Fg57%me+J)&G-}xL|cYr}dg!SP*{x>76Gil{_yPGInD607)7SYHF^9b0d-QU<eb^
zGDd)aM4XF~ttyN?1crhyj_o;Tgyd>|+V9Us$~X$^&B%uoQOPmvSHMbu3Gl?*gR9*N
zy{2Itb)ng&5=FZcPDd`3QD8*2Z>JM3`OXaHmNcds8V>IsgG`MwpLG#TL!}rG&tk;X
zGn>HQkoyC|l@PIw>aoGUgRwy|VbmYKBBpM3xKiKA8?kW@9z58{nW!+1>4@F1bW%Eg
z{CJcFX>^0pvJC7$OhWr{Jm-^2$G{YrRWX!IAM%|O^?J8+4%Gv63I)cITn#^fX<62>
zhX7O5>QnEXkglIxvVRSc%Mjr(&f`^kmIwGFt5J=S*^JZTkhOJ+p7}OTPM09?u2@kZ
z8^f?U*OIx!2=i}ZWNo{IZqz(N3lo{=>N_VmfNe!b0jjVco>h(Cpw{X7Gw;5j>yWZr
z4SFBLc`g9~+XlG|WTQ`g3_-k7Ts@4zi=lw~<Yb5jC2VYbvOE)ee+9)7c#?Hi0H43d
zVG1!BahwIoKWVPL9?t^Ji!%O2qlGI-A2xo5bijb`!C`{7sg0zgwCLf~=q}RT1wlx3
z;mVe?1tV}<zeKd#Xsi2SV+Wo2QQ%=g-$K#>?f|fyR%VO_C(;AHLpCPr)~zoS$20G1
zr8@P7N*q{!2-q$fxG{4MdAa9YHi($^9$lh$)>z=Zu!%_f9b_e_RsYs7{f^e>Lb$0v
z!K6?q2;XB3?f)ch6a^f0$rk^A(WhaQ8?f!S7c)vrJ4=};sIoDZ`U=V;3y45uuY?EF
zhhVuOsGXA;1BwhV-D&9EfuXIaT}cBPj)tlo;eQC3cDRP2ji-oom811-Bq=30*t^<N
zBpzuVnzm@%+tHs3xIxIhc9c<%ZCpoJ_qm<;Ihlfeu%PDH;Q@7KUiMQo35!HlLd@^~
zDf?^sf%s==Jl&0AM!n-?76FB7Ea@o#vAdrKuJ};oE{tSk4F^XU(lgTf7cD2;#@CMI
zB8c1mT%O~dtcMn2fcr@pN7(<dnjb_OjvZ3K`m}@kU4-}o8l&j<7JfdyLZd@0tgJ)L
zY6Xh2JU40zz2&FefM1*~XeXe?wV0UEp5T<^*0G|1ZQt8`e!(!`>2xQ+jT5^!75i%W
z5b6yiBtg)TjO;;L+m6No!hGSFE}8jo{(=0~8;dS;Q?J#urxm~7ky|#2eG^-(gd_;#
z3>OjX=Jec0tRy4!RCGkXcLsZML**MfM7DCt?!pE~z9Boq>4eG=ASp*E*P358^1PEv
zM(di6xfHZJ%0;!xS$IfsxM#LbkM-x4#NjAcFr@u}JI-^6Uru*f0aL&<uU?`c!C1pb
zF8#_uq^FQlSZ4H6HxW1ff6^ii=gd7Ay-0eb^L0Lbf)&yJ1)UBDW~#2L4|y2{`D(Ej
zt+yUfInrP3utzho-T;kLy5`mHjVSu^fS!P;Pblk(a}-WX7=w%hYp<}$m9lGtEkZ(K
z;sg}JJq?Gqo}}LYvz(D}FoNY$A4f>#bKxDC2ZW-gXKYbCTtvKbw-)(G6zgDEoiO9a
zjL4)eSKM~lXMDZJ(!{d^<Ad;&em+l)D8^4$BVyiKd7y3VLO*AU@c8@ez?nR7KV@x>
zGCrjPZ@Rwv#&+jM9JjW!dx6_^nQVZ;cS(RG!7;o5wnRFHiOQQaAE1ODIb$#E?apu3
z_CMChS~?mm%`xUh4JbqugyP~Gh_V{2ga@;7(_vS4dJi#>bQi9#DX88$-CtNJwGdL!
zcM#<#0Y(pGya7>~K|vAU^>EF$gl7<el0+^!EC_4J)O%tvz>`lA>-5}9?@zps@P&*H
zI!l85JL3RXQ@6fw;R30x!MTMENTcS{YZzNsoOeS)bNwC^h@`vWhdoXvGEX|L*=7QS
z*a=Y7Kz1a)w%Jbw+EYKh$uZsT+W+*;|Bd8!0#4b43{P%D>SiviiH2yr44TDAU9mpa
zX@L19;#X<Zod33EKO)4?qKHyXlC$f`ks}Hqo>k5)UA5)QgwIEt+)t#}0f#k(5^ciU
z(TO(KJ>WHdPlWq@x88D|7lQbNooA1asLofLXMb<&eck*)E=z^hls-EN<k9Q<$tXNf
zqVD3DW^lfwoaB<4dVAY4G^$Jvm5Ra2hmf}f&%<#HjRjN@gd#?9z_oK{aCO`tT3!D&
z?$j=*eM`&rsx61uRC#Z7-TT)1<D}or?|zp6ceLYrz~QCj?61@4GC;bsk2E`(6!_hR
zO5=lHDF{3%_PxN!iF?6LK|wcbQM2I#CdS4c{c|vKrr4KxpVFhx&B-yV4*OHzSyEl?
z@%hhIzk1a$W-4#MP8O9dS6b8J(%@R%tP_95KKHe5s(lDYX}X=epRM~jX5;3@ygQMO
zdczt?J7xKmce(A%c&C*UyiKuB6s?0};of`iUhD0PQRVfN-5M_E)nA%5Tq?iL;+6O3
zLOH!FxV3V?Q;yKEdD2lgW1HjiQQ@+Q*+VoF&wdt2m<pfElm4EFb3%~8>e$eaW5n1_
zc$VRhW6&oSGR97o_gGR*^5Ykkl@sm-t59-gw)6tnTQYmf<+WIgHN@l194%=&{CKZT
z^XCjPTt*y2O#0{XUcg@ODP7&9IlA#a(|$|K`v8aHkZU^z1t<gcZL<FC?W5zu_^6^M
zCAX^qm2W$r&Kb0g0Eyl#7a}1g)jG9U&#n67$PZS*jTve1E=z?+cT!k$(&|aK{lH^j
z_tZV(&G<9n)0QiZgMD3s+J<ldGK`Io#R+AkmfSdAF9?*tA>6I#S_3f!g*;#mi>ugj
zQT82zh7;#R=$}eJ7F;rZDpM)En^r5>ZtC(RismQ+M|I9r>yM{AyX06LZ)r!b4o2=$
z44&fwQh-BR4Q%hA{!4|tF)4BfnJP=m@%uB+XUe9~(VTPo*i)-f@CcrkRja!*akdoY
z-ur<utKVOW5Y}HO-EZO{4F)@#I95>V`C+_-41`Q}w?URW1HncjpdVA1i|PR=s2+=j
ze&NT`x1bX?Z8_R-YKyzgU98RK@#8RWIt7tWG{9A0PsGR`F-Z-;MKh{7j4RO}v5l7Z
zGl2_?7UErVrm-|}g-2WKoxP{Rih6YP&CKH9%(iQ=j4jjnVc)9=np+AA2BW*NNe>=G
z?mLSH2-+2^y*icHnYpl1fCcMoop<q)sYdrSgmmwH6c%=%ln!8ogKh3`#~d(G`$uez
z@ea^$9m|y%w?p$%5>HUO^Zaj5`06)iWW$?WLVOd2BMKgbP$3_O{ZKQ|0zd~mu*SpL
zPuw{Tiq2*rxBc3{6Csw$Gny*Z2M{=kH$(dYq%QqxzHn`F3vXlW4C3%Qf@A%?MYt?4
zm00i-OD)j9xsF{XNYHfQ(2a(HEM$ydP`bnHHwDf*ao7fANG)-x1Z`!MwDd}px*W8?
zQs6R?PMN<-d<dZu7dI7zjnFr5XCw6EWJ<AVH88(H@}NwEzRas8AM@xl^q(lvTmi%C
zum)jnFpLYJg}4u$RYBOs9oL1``Znx{QHi`w>2AXev-_lzNJnT;1W{=Y-JR1;+6q&$
zFdBl*onyp|lA<CRq?Fk}yFYnzda<2O{;?;_{?qr9lZQbmL2|AeI7fz_5Y$ni#_&de
zVvK<o>!wX9kiM$$UNw4UCr;+e4Z%V6@F)02#SlR?pTX!ioWFx06v*_EbaB#EL8c|1
zhMJ!hTs;{efNU@wN)7UxnPu}{M{n)kPpk{m<s!<;%HWw*wv&tNAQ_KmGsV`6sJBy8
zRNK^NDuP(4>KSvvrxw3WW&_id?VsrizyKfn9*?;N)tb>0dyw~2FV?B2#KjSx?kizo
znWAAB%W@b}aaMU>@6_H6A%~0$T^r!yqFgeFdlAc>3h-f6)`{Zw4*JeCBz63}ybs#t
zaGZI4zJ2O@(=qkzC!$05{rxE=5H(>I*mIt{S0l+JKOe;Ep?66khd=H7RcYtOQkF%h
zF^$<gwtzQuI{k-mBQhh-Dy6?s{TSlua!3unE+`$`5XDkRT<Met+?9^a!zyAKj1o|G
z16=FJSKerRmUVgLY!R^_MvNMQ+&3fVgA>A!8(f9R5R$h*ag6rrlx&A_ARHmA3)n8B
zcVWRu>l<lsONO^l!mBe7h$DDJB6jkX{6XF!25(uBQ?v7!l0t?zj6xRzyHCYaZ|*f<
zwtExSAM0z^H#If!8uCL|5te}`Nqji^UMMm)HVgIWFj}yh(VKx;7g>NY$pBl{eJ<Q8
zJBH(EcOT+oFZ}RX2txlFeKmu9S<lLvM&`+s&3255qUkc+mx^}GWZeEjv13^<ugi>(
zWYR>a#;A?E4}bZCz#${UI#*SslS<%y>G}&xSBwAdY9t%LAh$My&;cB6FJ{a!_W-)q
zYnA3bD+ISb<F!p$ePvn!-e3=1a~C^h;|;tlD`TZ)3Tg~a{;HVVbf;UeX3&)niwos!
zBLF!!H0V+fZQTHC&P=eCH8#2LQ*WQD<Y57H5(kxYtxYZ&VF9PITS8^OCzn^p>^q|b
zd1VVeyDNUTvZ{(0<)SQ!5XwC(6-|6EL5e5i$wtgd18p`H1?vNw+{3VW)r3DEau=<{
zuI-E_O+4HlJ;O)F-ya20KwOE_WJjT7eG9MYujhlk7crW2Y3eZ-V_p<c<wB>PfZua-
za8LdGBk1Ok0fsFaj%~$2w=87mt>Ye8CE6n*!k{M$doHmJH4Shzv2%N9ZoLK*`D@)7
zx1bUlXTmq4u5|}yag`fN*th35=s1?89XNO}7b|~>?6DYztg-R40c3g%dMiq>@A-l%
zdZZjgZm(xyNy0Ivg)ltzWv;GGB~e5-T?bEK$zg7AM}q(qZge<gY56_*_z;m{$=sa_
zSFU#-@=*xbD7HV~srl%}2V_ap!L+B5-Mu{?%UQRz#Zm-MVhH0~cpB)n%aI@FU`vbC
z#Ysl1Ma%gZARP^qavyz&H-5*pr>QUGgt|{EI97`(jEaDvP+E@S)sJ@XG54mzb`>RV
z|KsBV_yfrNMr>?sy0OuLl%E5w1}uH)M=<ov-^&q@5Ag)9jo{}WAvRscc(|E?DU`0W
z5O2Z_Twh0j%}?BWbf>05P<5$V^Ttee%tP6>V$U;V01<j#ny_B#zBb;ct|O*&-0pOg
zseq4mLJ@H#lBdr()3?Cz@txw5?Zl*Us04u`>Hd8(-Q_KS6f|agQDfmm`o+<2mdv5(
z4O~Xog;5>kL-X;tCnbEGz%io(k2R()MFDPZ#SI}z+MdB_SAv6gi$;b(kUEIz8!Z5)
zZr-_*hCUps7M9I=cJ>S;7jhra;RN#^ZL0%$2^J9iw4IPR&JA})g$q!ZyP_Y%8XASx
zf-}h=B$9z2qJ||S&~4B&`t%@!cNLD9G@TVWl52|r&XO5^m#WOOkGo=&1DVg-%+UrT
zzJnIK)D;ykR^O<hP_$n}TMC*Um|4XPx5c>qd+xr5jO3V+(Y>b!>DqNM5FCOqVhK(>
zDUljsk+I-P(T3sid(lUnydA7j_!N*#RGj+hiXy3%u@izj;<kIK3Ri8PlHy>mUk#;P
zO{-TJ1AsRSiT0iUbt=Q8!~p$%g?;S+ZQyC0gi^i5p+Ba3baVh41xhWO_WbPl3G~Jg
zfhzoMqimnNxbpMYuR$nd`YVJe&xV!XXJptsj?`L~zX^7D6w0&1aHBFNbK-ZOzm2K!
z$hM3~KNBLt=ygc|JMA39Y8mZm)|j-1@i&M^#wW@^xnfv{8^=-qMHJQtX}q>796R(^
za9xA(BZcDq4Dm4+{#AVTc0gg{0B9&<w=8F35|fF<Zz4z*iHSo6)opzRjYec<n4m$<
zTYMxe69c}r?99vw*w881my^@e(??cP{AVuQ&K*a<Koa6FmHFtA2Fb0U4~wYA%tK=1
ziSt8DCI-9?ADq-%dr?E<tpq*8F~~OG_f37ho`Qn^J+&P?n<;VU3q9To)EG2L{C&Am
z$OCsh`Rs5KSeek>*H#`{n1+@o<uM*-*lQE=(e7;X3~b6U$XzX?gN@R??<9{!9sdOl
z@2kQ;HM*`ZeBvQVcUme9L+ISFnJQnr*u)y%Y}4%M`;Co=U282^B^(|Cq&wJ4q5K5;
z1{~8?{BE6KkcP+!mB$<MwKKRq(Bpd(<D-f?gi_Cz6%gN2?`Y}%HCKSUY~EDkhhf?W
z0TaNpGb_gt(pHR(*#Xy@>&Qhrbu>#_Kb=Jro)Kf~!-oR%M=2}&pqs~x6ZB?@qMZ#0
z^EB;DC235LmUKQq`wk4gwmzI%iFZ+;iv3#iHTAX{QUc<yM4GxuI@s?p{~lYP3>zoC
zWS19F%pN|rYK&BEiqv6^=bN&rc>bK5ibV(7A;x!;!i7)Q?b2ZF3=okNBBx<OW%T;q
zzGE~|7#G35&y$mzEVfga`}<-f8|A?gC9OM^=9*-*NVdgcG8$Ow%xBE!y8HY0Z_8W*
zB(eP1rrGy4P>SO`bnQL+SJm2nyTkO8Bb?g<P(-itDDp}T=z8A*RI6*BlEBc}W|J~s
z*@acz%?bLT3D~37h%-JJDA8#J#Uv<8)4<1Zl&z+SYHzHM6O1`w*uZO{b6aOcobPU#
zaxz5=(|NUMO&B^rCi!MMhSn;NpZ)T-oV;|&{D9wl^_Oe-Ae2~gcgPSPc|i5KRmgs0
zn5`)qK}JUDd6v5_(x`^w8y0D>Un*+@)ew^oXUVV1WqbGvEWe@?UqWgNULwwfbg56l
zI7HjCF$Vzv<;=$lO*(}NOOe~P(Nsg-IRmR^`f=`xb;aa3NH=!5t?St(9&t~TxPB#8
z5F^#0#p%syXv;BlESt*%n#cE*ZNr8Kpf>8dy2>IG7E!u%G>^7UTD88n{H8+LeW!=9
z6HUVTt>@35Z)QCQdCi5yg_j9ON;(`L#PJStayYo1HP)hsgReRUx9b7J*!7wcS6-0+
zd%yl=!`iKsl<<{)E$||Oj12xu6+KQR*#eH64?uH~&c1G)g{vekOreAs7Xl3x8U93O
z{sDVV$Ip{zfb8HE-=gks%Dgt|ckU<srt`n_YMj9lw&33(#8BbmD|m}UcKK}7y$K|z
zrim5%(O4Wp`YYI%bThA6^GxE)xIT}(HXKq+OnVwpU?Vy3<Y+m8r3#4$-_D(8!XY9z
zz2zaONG~Z|lcItj!7J3uh6}4TMe5P_e0m{xxpn5XrO3oQy&PP7>IPj|=VdafLNCS{
z#!!eDF?J&Bw}FI=<wvZvduF<<)vHbaUPnMc@jurQhf~fmh_31Q#5;v&QNLzqk5x1;
zMU6e~o5_r6T3u_sO`PeQ*pwZ(&pO+;UJ1LNa!4N)BitJB0vZ-dew|O+MjXP$Fexti
zeD+SH9>`!YdIFz;+%eEzEQo~*6C5T4B~YB*$+gWjaDy~Gc2?<K3;Ip9J$G0=YXq@y
zGdf!E?(5GZ8kDDy+M&9p9^wfGeLvP8Oqqrrx7O-OL1$U~DDKT$KtJ6hyN9+QUx8t!
z3f~O7PTn4NjVLk(72X(P^Ivs!2QScSK1|kbyOt8T7BA1u67lU7x=dX}{bzAmaK2^w
zQ@jyy?~je|E~yIwWo!Upgt=-dC?}B=4#A$6KOzv#r%%YdCWP3JZgvx&DoNIWuN1{Y
zms_vU^0;m2;(RAxwl<(Eh|Cx+goH2xhY-4jv<8GTbMIo(E<i2yiwncj6r#07Gz}XB
zT5;y%mH{nchD1@t<Dq0XtPfnla1W!1e}W=uL}V5|bqB~;5fsz1EdSWya_GDlXboAH
zd-C<ejG;?XP^Lw8I7C(SjE{5CQGRlUkIuUwW3`2tjLZzdVUz|k9kY2-fF0O$6p9r=
z6@afHh8s0~ci7K4yS(q}>T)Z7_)YBNuPvDEnierqvWT9(33FpHRsMmv!-D;^HC&>O
z6<q#s#p>go*H*Y<N~|{jLXd(#Z(>5|3uRu%kTxE_C6u`B3&|65#akhD95;Xa>0fT8
z?X^Kh&`+{BeDP@;#pV_3=k&8D%3;`X%qfq6>CB>0EeK|Et8kXWhLOx2Cx*df1SA26
z*jdRhidt8mTwR++#oaR;YNV%VxNnZ>HU?_+_3XLOti6cQ1dRa>5=f^>o{++vX7fzW
zMn^uSkH}qzwju=Kh>hrQXhHT$CTp}zVC}mNzB{xq^$w4sr2y&O%N{3d$j&nR#?daH
z40RouU;$j>M#Bkm{r)Wx5f?LdYO45PkgwAoyeN!V8}W*m{jf82XAgPYkZ=@4en%F}
zF6pEIJf@7G3BVUf?t`F3hB%YSk@iShFcTRtLle5)5^ynz2TAhb&&r>vZm4?zkEX2M
zAh#(Q-&8_qA9j)?sKIFfXG4w2;V5smg;Z*#h1XbW0gxcZ%$3#EwtyaoU?u~9%6P~C
zY|$Q0Zsio1T|P`J!t{d%G`ohbV!<0xj0i-x_f(zo2d&r*6pF_UgjP%+D^T7G+<BVT
z=Rmc3qE9A>5Fi5a-x|xGRr>5hgsLfwW;aC5M7s~)*MCw74W7!&tw@eq2Cn=2`-|Lo
ziiV3Mt0vsFpRBk~W5wUX(v2fp3xJCxf%BBs1s<y>+%kcpWb>x&<a$gsI<L0Us)Zaj
z)~AReBfWa{CO0hLPg+@d{c6C!dtAZ=!e9H(^e5j4)6%}DeLU5dE?&%Ug?Wc4_kuNe
zZWiC=){s+8kFRgS5@_BO(>*mk?Vej7E1xw!KE8Z*ps(-dzP$T5sw@JqEGQaWCnLmn
z3h!4LB!8>lD^q?Bqf)Gq(bDc?;=&hTx2cc*z`RH$R4_6sYQV-6Qy!Ka#<Y2gs9ojd
zmdV;JH&s7G{=WVC1->=30Us1-n=6k8)H_+oZLz+RUX|j6y#bdABYAls?3q7+*%^%h
z6WPShOD@6j=j?3Mz8gP2G1%9L_pc_evlOpG7RFJDj{5}f!aBjGXhz1GggPsY)LFMx
z2{Hxq=@byDMOEb4gZ;>i)ypvGw}FLi`<LC=2L4{<C~8<7@uEz(dKgV^)Z8ZsAsKdr
zV^WA}@W|{u6o?w5w=kz|@WN`jonj$zNW96YRvs##7o{NbS;?1N{WwDwH=^qx0T7Ux
z6Jzrc3|@NWOW<B&Z%xLEL^VwoPE@hUt~I!gG%5w$gWiV$6p1>h*Xv~cM%(uZnwA=w
z`pxBn5MR&6mJV>q78>q;2fiLuQ&3)$;Sja2U+ds7bp;Z9vuIB=Ch8$RHWi#XCHv!p
zg^r&;u4lI*q-M~9rhwwuDJ5lq84~7;_TV2pA`UYbYc;5Lf>I^B1&x<lHa2P4mONCO
z)|^zKBF94Y{(rRqUqw)wc@F(({^TkJi*mk^V=-{JA_KhvLb$TG6}e~q80|<WzzNhH
znr3F*JT0?zrt=BVQjxh)IIzjQ7F-^gmJxXIqLE818L|V)@s6akx!6{+wA*pqOo7ij
z4GBH&oL=e~)ZZvSqEJ!YM`#c}1j~G+5EhJ`G?HqQ?IF1+Pv|Gajw#@x3JfgJ9w3T|
zjQ|jAAW>o!v$;vXXc5WQW#_&(l3X8F*cs3$MzKy~v)dqsVL*p2&?X)#{?iESv-=<$
z)Ipi6r_K}j6a48EAeyM#zY$>kCs24#z2pkdR}L~30J=iJJV2IdkO3J&S(4tr46Etw
z+iW)n#?i0b#Tavip}E+L>V#1TG=+qZ)Usq4JhD~8JUi#tCPKP0v+(Dvaue9LO#vf;
z8z4VYo^q3lCU6#Ra3Xqk3nyOU{%9Bj1_HFYOQOK=9Vi+yQiK#98#u|foDX4eWI{a6
zIG%lgCJL@t<&A_*(@QZf4}7wuH_-rev^2Gz-UraXOIEg|DI36*HE?S$NZo`}b;vNO
z`s2Aa5ume5_@?V$y=sCMoL^vsMB7an@0p9Sy*xcVBjyKG5Hpjpo{rEAa&2_1Vo}kl
z&_IS84COc5L}-6M2Le{M!%dCM4u;A%5lXvUyN~Z4eZbAp$cCgYv(=(>e#X`wezuE9
z$fBJ5cAUusQ>gx;oe031KxHGUJ?oI#Cjj+3f_-reWjUEvj0H=ei<58e3C0Anv9Rcj
zj@F>CyvEHg<(kqo;m}b?jPuF9#~~t|y7S{X2*UtOziJ+XvBNdsCJ3y<KYGbj3Dmu{
zG8@;gcdc3C<SzmB%2}?UdcI%nVz*UgqI$luPTEeABG>Pa@6#$`oPlvqvE^&y3zbX#
z2E;Z`(bZct?Z6M#UFoveG$)f;ljei6<p~y{_1kTzE?=*Un!W{0udo&6{5v3oIS^!!
z!EQ5cUGrzD`vRdlP?>RLeky<sLc1dV#Yu8Yru=Ut=4tqCF9>v}fXME`!XWc2=;`TQ
zAp}AqXEp)fS{umKqS}k3&;kCCM2c5uR?B|Bh6vhTDsGme6v~<k30~)_MJapy{QhY1
zi%?9Fvff8WyJJuf3!o*Jb6)`hyz2TRRfXs$zwW0DxZ}PpO)Fq+(_-1QLP<Vc*reZ-
z{n8E(<gE_H6H0n65<)_11pNoch3-BcD)b}`09(Ys(qW~Ofj6wX&HNkUwe<npU~2Yi
zSkbCM=7T_tVAYJKwnXHJ`mni=CL-_CfQXW+SpIzCpE;aoDPH#I(c7sfII02nlb8(|
zAo{veF@fw3a&r{>+Q3}M=D`TD7U-Y^sc8LchPXZ#4jZUA6=9jCeB?-+5TF$Qa#Ts}
z9CxFm?ajEc#1tx5s*eMCiOMXrAQTRE864=zY+bzocW4Djtl;n--w)WBN=|d=l~NF3
zSlQJgK+YMv5U`3A&Va6`pl-1Sgaz-qW3H|_>EW@a4Ov<Fs~q*WtO`oE7mpJ1+_Gj3
zX@wU#^%iu05Pq-`=ok+Rk2`wtQn11F(1b?VCvYMO;M{G|Sj8e&idn;h5@o-R-X0(W
zeNZ4TuU?ePgQt)4B(r7tvlgU&s6Ma&v@qga(qDLddRh<gNb0l*6BXv?Z5D8X^7PYL
zdei$TKw7aoEQ>tuf@uIEGA7vFctwx*+ntrBdiPd8RLQErV<kgS^ILIx7zIx4gq6j2
zboJPPz9<|@OLs-kM9kmJt`(YN)2xg`uC>&s=*L)>DPK7o2Zs<9ABx}Id!ou28H`Tm
z>+82~r$R49CiDT!yT*<AetNK9Ac!)GGQ#U&o>>X9EHbMwu<?2F(Yv~%1wi=pQW>AM
zq4cnP@)3WE*_U@m(&}DgV|w@ms)t;?+C=ikyLX32G>Q`d6)j)6^5J;M@5%39Ki(+&
z<L3X-P8WbWx5<s3S-6XRJuA)6fKOT`BPbxyC$?D*X7>wJ<$yCJQ*9QnBivJCP!JTh
zf*0BKM7<`o3A~mN_3s?OhMr9cNFgx&_f&nPR3{)%>N}hkb<rIzxE)kdWTbnSAtx{a
z(c38av>g=YhH-3H5G3_l{hNT~3Q!#!DM;u1A1_|I)D~nH_}dgsE=+>++Qx}>7-xqY
z4>V-RChC<;l&Wf^>iC8oRG!o5A65#o2*zSiq1lStqvvT^3-bjiI7F&9v~ZT94I#}n
z3+vt%WjYy}l79c-1ald!jDN7KtP7GboxxVTdP-sSR=?ub^g0gAnqrM`$G0eHb*Q<a
z4!B)ym}A{z6J<1{Co(Y$g$o<IS}54y0$L8T0zS7lmLjJiHKX0f!E7QTE-b80#(;4X
z05GDn&fzKlzJ2=WFK~Iy8aZ#6{P~lj!^Bv2W&{cyO3G@oV6nTO)E2!DM@0sW`=paL
z{zc(5KCXp@h4BbYtPbe^XPYPiHw~ji-9p!Ok6W){(V*xWL^ngyr`(Trt&dNJU`udP
z3qhok5xd4Ba{p)2E6HX$5~g>ZngAu>?qfQX53ngp$T$b_Q|n3W^hnzds!7|uRk-n`
zMQ|s|^_m)5-sQM>$r2mH9ui?oCVi3CQ<(1d+<ize;Z~gE+=JMzWRw{<94sB)L0h_w
zN~V2}77hzh-{JT(wm3I6bkbEa0<*FVvds?#_HQTYKgldSg|OscjB}sZpW|FQ0%txx
zH#uHjCHNv_h?1UKlH1`gI!;dGJOd;mpx<#}_$KTFT|d9t{5n?N6lH_JA_mlmap{?b
z%536xZ%J}O(p-!V(MIns2B*bCBB2JDM*!V9<S88GJyo+SehFNjLVc%;x~P0<snSq<
zP|3;D1RRTc=&rf|u859~4sy#P0z{@-FBt||al%qkhZY(6faC;N<OG$#;SG&ZGx9Jd
z0C1SVBBZ07AVByt2=H<-zZkr@F3J=HTn!9D6xg5=Xn}Kr!?SNK_{Y;ABKkXr5$qdC
ze1=`&-}nsr??_U%4)=~7$xQ+_&+h*Bn8sA&NA^vn0wN+>;&(H&PYXUHF1dg=l==7q
zF<^F(pdA1|NZoVl)H&((&+IF2G$Q&UTQ1(h)LjZi29Sda`7yvyfI?noWMdiDM@tXP
zIN^>w(%NhBhiGtTARyKMoDWTzH72J=@E$xNz+9Z7a%B8@3t@H+1Z*q?E<dym-&}oU
zJfSotgwdoT<Ra?rmsU@3G?7Fj>CN2Sn4g}qaxD*AHkrwdNrY@Q#&{m&D`iQA?YJ_Z
zd-4es6<}1=kzQsY$xcE;97dcL*GjJ=$s75auj69utR<iG@Zod4@BjHG3Llhb(O{VI
z>9`{d9b1A)_D;UuzTI3}V*tP#^N+Yw)1uCvT6wh`)S$`-OQzDWqwh6hAJwpWv)_Ff
zFL&aGSkqFw$CqXj_S-%F2PDCzvAc1W8_Jw(0lHCl{h!yQ_>YZy1w8G``HfTk+#cq?
z-yIheYqcB!(-GD5O0ZMlC=I#L;oGlI4qQXqu^T{2%vLH2<KgCR;wFeE`Lfoqx!Da}
z!jtsk1Nzt-+8M*L==~65TmVb(1FY+_qO7l7VJ=51qGf0I5S+@wF9J8wOx#?I!CoUg
zJgf*A4?v($-$5gBGW&S#7F&_qIIX$JYC;^(q@sdd_<FmoIbX4&66ha)c^igU-!bC&
z`!5>jS$RC_06dp%@}d6yp2B8i19{dB&%dY;z=C|$YU~i#|MyvFZ~cqhU;}Diin8AM
z8C4gWSO_{nC^BT<paJ;V-C<d(9*Awa@HKS>H5Dmi3E2+_{`tD7e?RTZMU0(f<R=(4
z@N>@W!x*IQ_5Dlyvu6s4j{p7;QzS}vJrmE$h<1dp4ANzWwZP`Xw&{g=_D-}4ww<5|
zVe=xJLSE+t(n6^D^At<zE0By`U9kguymf1)*A??tw4n7Hn{Yx#sRYcJhfqZ_Qd_bi
zVyne!0&m^Z*>%;Bi70Q$##{(!%_ZmDxrA3=z>Y$OaZdW**|Ozn)UY==KfvZAAn@;&
zmk%H5U9t$mJUC<2<9cZK{~^zdOb${^VJr<ypNER~mhzh~j^d(k-?(}6E~rlygh}-I
zm3HF%*wk7L12o(X;lm91^)|V+I9t$K)D};1z(@faH!{hSmX;p-SfBYIgFuA6<kz`^
zi3xh7Yli=v;GnPzS~rALeyRKSfz5~G)&VjoYz2LyWcu&3ANRv^mRrCRP)V47@Bep=
z{iy~34B9#q_{9+#TruL1k+J!J(_HxS=dN&9kaqrb5ywRmTGf=*WhO3?x$}UuF^<m!
z*M*0`66OdbtzrA$7gZ>+^azkZpg&vGG4<rN6)4mjX)>LFoZ0`~NKGnOOn={l(zL4L
z)VME>ASKg(|6OAVFb#l6qBFFAuS7%xQ|<ow@?QTRt5U_pBnFl`C!e<QkioARp>2Ox
zvqH(|{{c0WrR(zM?@M=olc62O35;m|7GN>|2$YoR=pR+4p~)^47>)WxOvpJ!Xd`lZ
zq4n}DKnoUd1Edo}Syi<O6m{>&_`=JjuyCZ7O9M&QbHN5VPfpHPpC3E2Y~4C$lVw`g
zxvmH3&2=mQ>|iyNM+=iFas7l#C0S;t_qU@=>{8l9F@U41n4NFoWjO$Yx}y*zvH<Q>
zC^BY1V3E1e`T~(6v+jhw;RP$5@)B3(24vS3<PysdsGy>Wb_hiHdo9a_7xD<gVnN<f
z(2BH8$o;cJHo6G)X8$ra3bH+}Qex;p05Tb;Jg0t7G9IZb%lh>mk|GPgUQE^w)b>3#
z?t||to5gRdp8O$PklKpVKXlbniiSEGk#&K1roTsD?hgW!aa;j%fv+(Fo%Ow3t0%pC
z_ag%fVWWIACsELzpOC>g+qMI2U<z9ZCjNyL*mNj((?^^n=g%d&D2qXEQPc{Ri&D@c
zO3Dr*;d-BsdsgG{lx@pDlUUs@;A0Ucv{h$Ufrd*J<~jQ;T+nJ1eqR8!ID{fAZo*St
z8Mbge{)OdPlS0jVfg_Xvk*8f5;z7xi_k14tq+2f7H&8qdbuVAOMZ+4x9c15WP}OOF
z_yetv0ea&}5s#g^Q(Rn^JVgj~P*T-y>HTjJs+}0%);_<ES5*TU>=e2|n}6=1_s@dl
z5h=ZE(M|OlCfS9Bo}#`owp<z}EU0>@G*aEZdi5%SEkZNl1c2H*P~&k!zrqI|@QYJB
z@TiD;_Z~t?gMrjqNxZd>QLDpehvd_w>>@BWJg5l<<u}t9TdR5m5XoG>uwMgKxft3|
z1dl&bn4h1A(kTE1V{LIg=AaR^%u(1`U8`oKls<=20(FN&Xvx>db${{sAwg_YXr>H`
zJ+iqAtR9zw;7c0X>HvKOGG9I&+6jQb&7C)2A0y}<=Irpn-R@l}LKB&Wj>=h#An`~C
z$WkU&o8S?Ykk`5LWUG*guerEna#|9aA7vn^Qb7<8qT!<G{vRx}T&JD`WY{w<;gXCR
zWt`_}yGw{+FA)qoaWAa2CQ`QZoQ79G=DQUbzlmw)d=cHC`Lf6?r<Qt%<gwMq6?Znn
zSUUr@7}mf=(c$EjGzV;y2cusJ)CrX<nEh)g;E)PV!A+;uJeyR$<UCJxM!N@1+smTB
z-=9LRA35sI=9WQMOh(tYX?zg6WYreyXNe4yt~2Nqi8OrvKn6#b*Le9-+4XA|uCa6A
zI<QhAiYvoH3Ka7=e05WNtlzvoVAa^<=P7x(tbApjTdEJ1&r1C#uyuq~8}}3R%XwHF
zf391zMq|hWG!Rl+lc5g~EkP~nD~r)o5mgM7DIIJi_@O7+gu+=;7n%Z@|L+PAB^SmY
z6Nr}xXh|^+K^qBKsCBb&Y!Q7I_Sux>vgXGSY2ts6l9goSc9Gu&IIW&f$0YMIJmN@h
zdkjHua!zmNqb6C2s~p-J6H-sb2>C`>e~_WqxGLSba*BfN0)vJ6D=X)IIJ7+|HOP3!
z{|Zi~_U-rczbhawvgtkRkc|=b=m;-#AIr?o&*ux>wE%jdJ3z}S7M$A=8X85lhdiD-
zbdVX}WI8gQa+LPXud<Nf0_FHTG!1jBm-Y2o&u_nt*ysB@|Gz*l0rO{fUs;_g@QbBT
zA#b}+G7^M`Awb;d*ohf7LUu`jA95#&z%Qd(cd`H(7&3~12|x+DF8yp-H7Tn-I1=T0
z3h?*e92H*%oR8{`v?vF(Y$SSaRMuV?dz>!w8Fc_{{_YDw7331!yX56fR|Qo}1$Cjo
zfDl6$>XEb<uc2Lw85q7mny5wIxoqw%^&RlHg&E&KyTp{At6|lX)pC1)II&@)7x>se
zvkqkyBRV0ltwWOF$<ft~>_i>yA{T6@4kFx;hLw?VZYnl<lCCAC6wNs)%ISCf3n3W^
zZ?PoEm)0q9-laCs(vRP{>Q(+_V4^bpcX|afa@v#BE9>qleV@7s#CsTx5^r&Lj%P4=
zU-6q@nd34Pxodj-_?MZFmLj`QAOjX{LbL>u(F9_SfFQtU$n00B$I_9*4x`y9k{kM8
zoB7|rT1(D7g*Y(*04Z{3ji`+Z7g)Azc?g2d<8K01T!o_sN+RPaYxq<q;e#Rio?puG
z_Rsv-A7vWsBNO0@mv}Jk8YsJC>at1r8(vD=_Tm2<OsZ=0#*KOoo>%LHid2!*v4kzP
zQNfeJ3IY`O<$rbeC15qKZQHAmDY1<e#b#wn5oJiz-lmqM(4ZNiNf{b67kkSTu}~=`
zBq|k}G-pRinn#Tk8dsr`=Ks7_+3)b}@BiQLACBYu-;Vd)yJJght><~}`@XJox`>7T
z&mk%ImCJhl+H7Pkq{aC@uXS^CLjhW=m;PW@)Q(RwLaCAK=kN6~yf#JcbEJMkQE4g;
zAaM?5!vl}QgbPv_dJ2U8iVLc7_;3h}ec|#m;_Ty&>gwtyxLhz<+TYu&nXq;n{tRX<
z8z73y7A^$vjS=5qM=h}Np+Lh{bQ6GR7ql0qNE@EDb233*`hSf(y@p>g0t|))@N(da
znow_pg?Iqp=`Kk6jAc%3U%5_v>C$)IvlJvy!$Oa#jy9a6V3+|i3uW$kJV^>z{*dj0
z_BeW$_nE}<<=b}`Zk_;iDrb~VcM~lSt`5RMjWCsGmEeRl?++#sF5(8DFgEaA4a8i*
zcW=I!BObWL7jFoUzY06hZOEbgNCkKhWj0KM24SgIEYNw^nIvI)EhUffzw}Ybj?LN<
z?GE|+eW2twwg=5Tx`1}VZk!pf%g4L705rIY7`8iHd@B`fXbLb98pBSaA)3u@cwrjt
z&F&uA`VKxV%Xa#158EwYg|jlL5*=AY;d_mn8SkHcP<&AAklo8BHM<HwGE{Ps+aW?_
zvdZ<XRd3W+;JLPIuMPz{p0HhZrjPp4olED4=e3c-Vml@fpQLz-0?-R9S?%5!F)T@x
z7^sdt5?e=_QxpLH2<0?4(zlLVA!ZWnJx@;$Ov0Y_1XOV?h;Y|H#tSw-n`{TP)sXc8
zt2v|#`#8Z~yBi_0(qH2j1^?l8W6UWB#Zwma%WowR=$C(~XMTNozPeuQ8p+BG=Q66F
zAS@{bb09Ta{GruFrDs|3_!n&YUB^a>MWwIl{IwuW5-Mj|Drh}AxSvz+7;U@d_}7HH
ziEIGQc+7O68N$2y;AiO%Q3LeIzoK*@si2LG&HWx4%5WVrVk~1HS*s^|OYW=8!EK8u
zc~lP|n#BeWv6qv@$GCx{rb3u9d(1CogMGn<(R$|`_n=HC?Am+9me1f6H7kdKKib6t
zqt?Bb@#Pti4pO?aFPLj!H`pCt>lluiiiRR`_Ua^wmbEp%U(Nzb4$wvh?j?YdMkibW
zH$$^nfUN4JU|kT+J&HI*{`!%zFPQiilnkY!z$!YHiHqlq`H5SYxnG2sKt$@m@8N@_
zzbG0)PE|~}JP@XP8KJY#x8DDhe>)0yV>upskmBHDzyQbx;~1w6_m3~2ukaa34d3^T
zqj&f=HY>XFeVC_Y1GP7?0f`NlH%dEvJ*XzfWE@KhwEE?jQxst_qFw?~B(*^$vUeSl
z3?s=v;-9;ig>&7f3!xI;I-d|MzXb*66((9(ae4Uw$EUF?AhrQ(g?9N06FReH=rg<f
zcsc+=$54P%d}bahLulq7JpZZG1)Llh$K8c|H_2{#VzYZcJc);*-|EW@^B5VAEb`EY
zEA+AFP-|-vtBcO-MnC|EHo{p^3U=$~8NU5(;;QYK$^Z@J``bN`go+0+bw$zWtu-%E
z#%5+SC<kvD4DTw$^^*bt&>9(25&`k*XB)8m5O)Lk=;5a7!L#>6jJa1{skGOjo``~S
z)Dm6bBf+;Ft&0T9?OmmaT+Cncx_I3aS0HJG^90(4HLFJYNp*VN+5W2!T_6oz*y4_t
z@C)66Gkh0SFmjN~q^lzB^qyV=A$<{g>;AmVUtaOo9ssxpSobFSen=)G!PsNK`*Lu|
z0QEMg*z*Jlw7!jgfO~cit3|`28nXI>Yn|HqH*ud?_0!nnz{LS2BLOtTdw4{p;w;K9
zizPwkijtBxHIf{oD%KP(jxtijY3{Ig758tyJMevGIC)F(_lUMF^x<QaJca$E83cnS
z3N&#}6&gS2{nT7tMGfYSw7uIQ00DZbr(K1f+r@#QBysWL#bVSzU1t>segVbibL%KT
zU7RJcD3yTX+5h}2_vM6vkmvxSZ^4SV!VG|^2Mzw#I_PI|fVGFgY&u9g7MdfHC4)kv
ziUs%08xyhYM%JjbvPb?qk#$zL!c*Y(y|;2I<MUnoAj!DF4kvjCh=c)Vyi!ecDkJ?O
zqH*3Mu;n`Q(tJfj6g1(5@!WTUf4mwaCXCFVJ2WSq(uKPba0QnJ!N;XAX@_8^(Masw
z30T=v;D_v>MGOrI*89^c&i%^(<ABvCY;Sn$JJJ|}1IYY5{m1w2mHWT**P`Bf{deHk
zKKs-0FkAgS60u!+^c}f-E!=4K8qml{E&vI?xnBye@k<Y7=j7}Glf?xgv8}}(*Bkxg
zhvm@bg2$$3h|V0;$c85(D<-c@4#Kmf%no$^3ZSTTd!EqfUvLiG_B3>@zbZt;l~BOn
zcR^B^3=&mYMc@YzSkid@%IHr9)qYVveG+2t$Pev!LS!I*C6F3?l~30tFRzoa<xxgz
zr{ld56om~BXjVG0Xh=o{U}Xgv_x;M`)IWR(B<t_*l=A@N>v|f8x9qiSrlO)^VAjJq
z2p-Bm^j$jo?TQD*X5TxXEl!wrE&5=}*fEd_X50wo)TO0CNx1~lI&?qUQ)=1qa!7sv
z1I29i*0U;v7UmNF_#2O_I3#Vh8wDwqe$%`*FW~(e`^H@VMv_b=l^h9qiW#GcmE=Vz
zd>=F&Mb>K!H@6dXXD-7ois`{9plb!j9lMCUbQiOmI7h%4J8f8)?t*+h{26G~Zo8%K
zde9qUvl5%-vaeo#rSnY?@vu!HD4yz**|TPeu}-X?hduv4D*NnC$Je)o&!yc^I|-`U
zNIQpOPZg^$yFaz3xajVVIiH1+w_TohJa){OG2t@b09Ej98xs^+1-68!T5JJLUCqT1
z2<`$xBZHaKH87f^P7I6Pi+{#A_nsidEfK$~*Q_Z8vj(wnGYrk;IGG<#9f2ELX5uLZ
zTa3p2nuatd)!xI(;l42C197Oz&EQer1|x<UQiS@j;cpko&&w-=S)rS(eb9_Ja$?I%
zpd<CliiW<Qm`J$(Z{x?nJi{c|4b5pQ^zo%Ic1L31m6O~EO6VT8DtYrJ=xFpgVb}GS
zZfJ;K%U;h&UWt<fr)jHLcFjewWX%YaDF*lasn8xS;d?aJgZ-iXC2*KWP%f7H>>YVD
zYYzjX0_zv~4YeccS(KyNPIyp(+5`#EX?$ayrp@|!!iuiRD4XP`tKcL9s}#BX=tA0B
zP$NL1>c|{@XD!&!2no^7eS^=LWEU<GzBvPLo%nXvmZZ~}Sy^*M1l(mm0lF$Db#R0f
z%mI!N&dE(zL(3m~EsK-^3PazGy<Ut!rO+yKBhF$__ONzu-RePvHZ0q~k&^n3{4;<t
z#l1rZ%U7=fnJc@(4#)3;+C?|KVdS%V0`AmiQ;WGg1-^f-nsXv1J@>cZhS&|>`cu>y
zbop(ZrN3SS)H%x|uD0gMxPd-^paK}32d380*E<0SC&b7**N4tn2It}luC!Becp#d*
zwrXd1f-a+w@T@Y1>uri>@Zs_`vc%ir>*RNbuk|>T5}?rv0xYlxlLKVY=YlaIzZ2G}
zII#0;@#EFUV~0qPUyIz=bY*k96hAou$luVGkT?drpC*`ODl4G-<UGbNc9+e#H?j5r
zU<<-Cs6d??KSuqmEvHfw*hkp6_1G++2(K;Ji-k{o9QHL0r#57Co0+a)xEGNW8t+R7
zp~R^;J3h(QLhX)Y#vBu%pxf&@@H<{asb-()c@HR1Ezo5^P;-NXkSKG79UK_l>4?Lu
z5uP)DeiRVOO~%NOwaRK}Uk{}yKGg%#3*7fHTz;eaMlc|%W?XhH>?*MknQ*mI44^<v
z`!ry-q-ubptcW&C)N8a^f+Nwwr>L&gn5Z;pjnEcY;tVz0kFLH6m69|79<LW`%!-1|
zeJ+{-*Kmcy(g}~HX%it@7@o5f28=&kQ74rnyqC<iBlv|<jYh-R4y=<9G`l`YGX_x(
zQYQ>m(%q1FUiGQy7gGQWXc}s@LhXgz98CzPI+f*+I7J^OtXgr^Ds|-HctGtUHyr~0
zgQyQ^xd1f_FM&ct9ha&cYCidSbZ)4hEM5AX3U~BLNv>8U53eHOI1JdX8EzNBXRXz+
z_Mk>HxK_pUa0$$9Cy2vAkre*;HozCf;a)X)2vtNcnV@BaMr{{nBApqeQy=C?a@UAn
z8qW|8qsI!|XK0x(TBjE1h(4=t=H5K*dt*DoG{di7yS6CQG~*)JU9v+^1W^}4VVaPT
z6RCO?TUaa%Kz`f!gAB=FL#{hFG(m~=7sR&*fI};Oxa%I~7A^+r_(aQ2MGbg5ZZL$}
z>!BZvDM`TgN1DDqn4`iq4N;fKw?}@bhvhk!xJ%6dJR8t1APNzSxLH4hgl2&Ae7fGo
zm|Y_a35!gZfaMz6Iq!I|Lm+da6Gsf#(u46;hfvsJ;2)mlsF%ATutA+cu2$rl?FN`>
zE|$$-huPM|>&$X_lKu4f_ovWhLkaxx)2Fi6gIHveNo`M;`<N`v2Dt;1CU}`KSD$Nx
zanfcjO{y_8GcXB~L{=?olSdaI=>Wx}(RI`nTaV8@p6WT!lF$*`m{L$suw8q$&x5T(
z*J0{-R_W5$1%(ElX9Erpt@00cj20<?J0o;c&f#bWnb|mg5lumSsf+-_RGAb%+uOHq
zF?s`5SRAYT-9uW%iBVg{glYYmLlF1yjRNGwtNkxpSwpbwR}EzVqgw+l|HqDwj<UUq
zifOx@6!G5}Q&^X#CyRw|)QEAu`SAq)!^3mg2bafw4VQKN*4FH&PCp|pojd~_t5U!*
z=(3Vzte`pM+eRDOcYzMh0gbck=Lz7gtDz<>4wQGo2EUwk44B9PC6xm%p9$RZy$s3e
z@UXSwT+$lZkYx}HI7M((P_@t-SZ@Hh7LyJRU?dv(Z6r=i=x)G;C)x^sx%EkwX!w@~
zype}02+fT^PO>Uu^Nep~VT}AQl;9vQNK$6?cp>k1F2Ge@8wi`kSB00Tu}Op_G;8+_
zQiX%wsu9bA*eZf#CXn<yzCSak1i3Y<vpVY1jHu|2m3jrSAEDE<i1Ot+Jt41DxpZ7M
zpzmK7drp}T23x77p`#-T=c@`<mh}z0^2_JW6`<OkA8*k^7qI(Ow$9TlRx*GCuWzpv
zzQgza83!J2()zgeSJj09T0mt5QGWrNpe~TRtr#AU@rc*K9p$Q+PceaE6X%9EegMUz
z3_{Hy`Dg*;;E0;Q78DF!Nl<<(Wvrlq#K9bft^gk1C9K_0k`U*G8I`Jk(}4ohqrR&Z
zM#oicPau#c`txxsj|`?O-v`=*^+15n%L7kdna6Hl?x?Ex&-`b#ZdwlrN*jRTEjX&h
z<JHO|4P@Y&B@e+j-rv;7UI;O_hV*;pnl;5aKk>AWESlGOdEZdsRdMYZ5j!Ja&q+`+
znDuwdMjdEFg3Pz!=##^RyGl<EWf`4x{do4(s%+n1PpQ6E`>1{9?!KQww>0w{%GNql
zT(*5u6HBvYmzUDoSM|GQ{<hG<VwU=zB=fM6nFjl`E%cU^D63b*96BE{cbfFqMOPR<
zuQ|BdI?e5azgZ@8+Ts~jR$rZOHEhTptj<sAIPa6c!?3qH|Iide79kH*=94F>;mfO4
z{0aJ!RIP!CLFtJIN3tB%-t9oX=lx^rAEBOUMM<>>Qa}C-bud+M5^l#)eB=7{CJHwl
zgac86g<9Cts?%N$>f|D9h{oS!RQHf45N^vz93wlwQv+lpf+K>o*s);fRRNC~4Yp_#
zD+CIIFa<o=0ktkY27iz!LrFyc?t2^w=fm#hph7CbDzpKK4==84NUpRh48yzF(r|Ij
zcG<IMj|{ZL*ne5HfT1#<X$jubml?aaY8}MC$p7<t3nk=Tq_oN-Bu(P*G?Z92+puC$
zw&SkFCC<bP2C1~Fr&pC_q$gfOZhJt&#$)f&ed7>tNks=6HgR{Yel>6)fcuNENgd#=
z4bijTbVvQorV3oNyO!*k{Cu%!DY2!6gY!J^unWJGz7o&;E`Km0NlJAOCOnlvC^1vu
ztS#Q=G8q|}!?#0pp1GzeE)KSgG)i-22V*z)<sgE$5FuM3AnVLY=_Q;|i)kc~vWX|w
zAqionPtJYZ9hvs>-8wp<NO0GpsgJsE7V<s%aBO|$K+jkk+uSIFj8)IP_dDrlJ&yi#
zGWEE`y^Zf=x1RhXmVcu~pJ(BXNMqjG!$h5s$}z-j`SkP3=C^M40|;uyDn0tdt@yxe
z)t{{_0NOHT6pk#JC$Md}(MwonJEUbr1d@Z0f7S4%33UxStD%rIb}TZ3)H*bZfO$^d
z^m7|!1OOX|dFy@c+Kiqjr#7pos#<=@nwfsN+Un#R5g~UGSdup@<}mC&ok$S8w%-Z3
z6B1Une0Xg3c8;Gh#?HH`b^XjqFKc|<dsO~-f9y>U8k=1X4hdNHZx<f4?0bHjqZ;Sn
zH~;+RyLEFt?tomRU=IK@si&U@(WZ+nJPaG<h0P0zz=NDP98y)5`K|MMI6pD@5OIxA
zH0WW=G&V3Cxm!VJ7rwJxEH17>O5Whip!j9#K!=MUv!VVzYiyjPc7s=xnMiG!^i)p~
zfo(hdvl@26j2gbi6f+#}lG7N(pihZlI|8N6u{+}o$1JNGWRjsX2L4PF7X#Er+K40%
zw?r+u$Hiq(r+>_x3;0EwHf^%uli#<_WB)6Tor?LuJwv^m28P``yQEp?H|q|3nfv(S
zC*!APej<>J?#<=c<w&b4=%ttWEzXr%oY9_G@4F+tiVsjBwCDuCmLT3Oi1Z`G)<dv2
zz2-sl&(<*5n0Kx}rKGgmSg^V_mL>w-f%u(_R^-KDnxX3Y>X<^hb}V_EbU3f6NHRt5
zW)d)aC~CMb$})~tVq(eIeKKivQTtXs+_%cqcA1jCU!7H1K|%WWNqWeHD+WiUp{;E~
ze}H2Up^Qwt%^_!n+rQqqg4oUo$#LiW>pFZ&*8g-`O33b0x8otd!+%6Ipk97iQ+~YN
zz;SKHDjVcAZD%V$vg{iN1e8^T7P0D9%?U(0u!_)>R=VVo@PkqbkTt-R$>YV*7a#eo
z{(|pELEvaVvzD)1d9>#V7ofwspFcL4Q&7gKN7-_|_JF#M&f69R^o{IbXocch^|2MA
zBlJP^)O3TQJ7yElgeWDj_B=J(v!^)Hc%(IBG#O5?&wnnR+mx6LHtT}f8vad4H@r@W
z^qnnrN(+L3cd4)=p$oDO6rVXM6uBQ{;pUqvI<Ka7=0dj(uPhS}J;j5`aoI5P)G-pT
ziq8M6rLEmc6*^2L#-eLyPdY=K06O*^@Rk!e4(UemT{nOQ{22vUwhwU9G)ZCeA=KK#
zgO4C8Al33F5>OpqK%l!Vs-3JOCuIYOGeonFt83Gbt0Tq&MCsKUJNj`R$BPbMiN#(I
z-LwHFTsivp>)RA=fgVpCJMYD{QRU%?bleQc1Ay^vSR!{g0a+zjKTmeKxVWai{v-IN
zVjTmCh1Gwi4!=Yp!pUsfDx}EZf%2{J%<Iw1-?hTyt@C!%shZfikV~pWA}w^HGbfC-
z$reM}bHN=nc5H~cm-@7}>3m1gpn+eH0V^VkuKI|7E=2WBP0xmayl6UPNT#PR=>wtB
ztj-0opD3skui3)Iy^D*{Pecf<IUJMV=5z}o4yTkBv=1pQ>>YG1Eh|Gnysp8dX>%SF
zFT0(;B=q>8O`rh(Mm)89Rtb7aP8?TpDdRnYf&GFrlRB|N_8;G(H1H2ku3qtn7+f?2
zwO<V9sc#&4c-`t+OT&FoqcpUrq*rD9^!cv%&+pFE;NKhn_U|nxmC`S^-xcRemUo>p
zy6-R^i}U{Z?XrK5Z+%L~rR!o-hll~2`ep|?Q6Z20wnDTSY<pAg8TEKg#;Ol?NeP$t
z>*Xq{t-=n*pMmKY^|D*z_X+ZquRfCd{@5$&+~19|M6!S7FP6?7TgK~;5Y-b&HTZoa
zE2nF(NOqI&^Qw%}^72;X$>0x^*#oX=*j{Gw^U)4-vAFqqe&e;0^{Ih!4n_4B+`nVF
zFB9Ysi;T=`+3k+#W&!*MmifS$^ZCh-*WAv3puRM?vQjr(g{S^gPrn%J{jt56=Q3M+
z%!~Zi?$>xf!>QDSKO19M_Kph^<DK{~{BQg12^|B5`(*KH6HL)P_0@E^K0v_vju10*
zNWQ3`24{93?QpotSnd^7+W6CFUinu*uVMi`!MC*ja6gpuT_AtVQ6thpN>YQ1%SV1Z
zy?5VvzM!*vL9OAK(EU9r7k_21Vqc*bbeMgU_l|<b^;^;>cQGi-3pRwLp8Wj$auAWS
zPZo~cMJ6xL%7WaRA)(N;;|h1SbOJa;O=5H4(8v!oE#)-~@)s8urv@!AsSf|t(9$ZK
zIBVoFSg_0fm0vK5HH2t2V;W2mb~#N00|{(hI4)W@*7aVd?$=HP3Hy7I?t2Pp$pn5H
zxD9sufp@vJ(<I#GkN1yj?Hi_~AZr+ZT&$^Wa329DuUot05{4-#2Il!DV3QpM7F+Yb
zJWw1A-Q)rc)j!>Q<SkxNmREQu@9;I)Dv1*}y9(ZcFk%V&pgNACyc*D3mVB|$2kAaN
z$a=$RL-AUOk3nz(VFuW0FEkh1R5@E(MgRi12a`sGQJNuQ`Og|Uf7xPy9a$nTdVdBV
z?S!ZzM4U^TSkROlWEqXTzD=rV+UDQ(3(^KkW;e)j2Qh7-5RSW0*s93y3XLX=v!zk4
z-QimOw`Fa&<2|7`N<`XiHz12vFdZc*P_N&(aUaU~&3MSI3OiuHE5rM=!4cLB<B509
z$0A5XW=$B|)oL`H_;P5QmuM+sf5IT)iW45<wFHZKDQRUn*XPVoDlcmoQwuf5UW7xI
z0dXT16YYbL2gG{8rk}-GIB*hC++7@^f(y5Rgk;pyfq`7jzlkhB2+4utP!knAH1sdJ
zs&KqBm#tZ|CNa0+3v$3!pd7sPwp>~jz}a?m7>R(bW(+P;TDJ}g@@M_HMAD~jj9j7x
zg^teYPLhN{24`OBMnIdCB^CnK1v?mG#P}wEV7uVpLEBkY%`OJIDaE>U$I2ST1&-MZ
zKe`AB!{ogl`)%Hp1}*9P7M~^&U*%FeSZx)bic0I`uUkf5OL-=5t+i=tWV=s!VMJ(X
zA!;EeYYZR1Y3wlUl}r{|lyh&}JA0X|JL*dhJ7L04j4B&-E8TlEs@)xRih0_n0^c-t
znxTqptbqvK0cUvY?-xcNx25t!KU*~JHZ+tBl}cB|fH^Y@zcZ~p{Z-Bky)@TBCJR-A
zR29^L_Xuc!YR$8jZ~mk+8oPGgfjV|ej}rnlKAuRhX^n`_926#AK}K3Srt;Gld$bZ;
zd!mt2Pa>+}{<Pt$$ibCKZL5(K6YpSfa`D-W{n-wuHk-O~ggu_e@>ey;dIZR%bzZU%
zs^KY@N}LgSs6waM#52-HWX9*fEiNu8WU*isVeH4X*&NbCba_pSmr=cQ41a`M-{m$0
zSdFZB)SkhnaYjzm3py|{92hkxawOQncnX>!y(CA&#+iTAVuG<O0%^l7$*zfAr(R)g
z+w;cGW(w`4-3);WpC9#u3^l}<nV2J)_K4{`E6P9KW|md_#!r{|(=Vf|(H%H7_wgd1
zoR_}*Ro1cr679>!wShQYz4)G<a+mGE$E1P$@hZ|WKTkj31h1>6t!*r3_=c*iOo@4^
zpsM&iIwgCpTBrZYo_&HIAWo#Aq9t;k1b*laL;kw+V53}$#gOvcKzTjPtMcjwv63U5
zyE)~cjWspHv2gMeVuP;fNTC8gB1r~NyKl@nHFDD{#;&o~+wT`b7Zg>x3V^>NB(Cb#
z<bO0D_#zXLQRN3~;$Y?bbGgOxqF%Hk2mF!*69_ndWtdW)1!o?^Kz3~iH1|L_hKHI=
z$$&atz)#7yw)SSOOTFXP_rT3O7MqW2SX7jvg`3TMkNr)EH7LR@2t^Z3bPYS0RPsQA
z3#<4aB`(Gd!z`l%LxQ{&=l2U1o)zA@@akHhES|P>j-B}Q^DmsedD?<|eUJDZK705j
zL(4j;X0__I{MnCVLpEL$y0-tM!SNl7-wjSLmWJ=goU#N+rGQ+@Q@-6vew~gf>|iuj
zu@1>f3l@Y*@mqCN&VwDN0FY_yzURCI5wR&Uz#)bFUMe2@DXxzQ7DVMq0}YPeIT;7e
z(P$2sufqF_3!=NQxDJQ3L$kc%QOMQ04((Nf7ziDcICFty?$LD?rl$Lx&qNTJ1kE3g
zf@t~!fwPPH()VT_tO&?&+_QA%Zfw(~_Zi1K`v=*=OMXT1l9y~4wWD~)ciU<z4*H*N
z-n2&beLKO!h&#l#AM0ydr4I&{Ng-C2c~%=>-eD5{%Za4<AjI)lJ$ui`x&&bmz&!-i
zEnIv=6f%xrH@OJ}f8t9i|JU^XVVS8UuMUUe)H?4O2k2PW?B9UAX!R_UkhsAlY}&vU
zd$<{ZD>`eW^{o;OQkSV)6<u#DFDZ#>tr+=bjKn#-hB6*WWP*Y%I1CAvtssGQlDzk<
z`umQ?X~DDtlmlWc3<&Jr;57$(2x6qj(*%IxvenT^SJUQwSX;CDEkeYtMdyzEa;2VP
zZ2Td|dN7~-9-*B;PUD>-^jQF0y!Q(_0$#%)v6%sudYYPClZ~{rDW<m|39@5@7lrUV
zOieWeBk%Oa4*e_uxv-cRjS#b~@f|fu+H7g(@1O0;M+xqr{-!Teb^0MP@6J*j+Qsf7
zwu0bF|9<oX#Rz%a_vT-0Vvyl@e~S~izEQ5!6lzAU{}@tWa5GKN-Hd!WdZS-kYvOm<
zf2xXw`O#e5QcYkA_4Nk`7z3L?NIvqfLhy_QT5o-9=0`~{kN0OtgR9Z%A>oi3W};EA
zf*Hf=cq~$Z|61VXIBuhBosl>z<A`|dW-m$?8pq2Mo`X?cu4zUXaxsbTH!UCD7cZM_
zUN?5K%$=1!0j86PoN&$v4a@20`)qRE(yh*1p$jyk1sLtVWfWQ=DVi}`d+dw+#?EDE
zP2=Lqs0Nm)alwzEVzN9gqckx3Aa^*WICk&G9-{B!G$4#<HSX6w?XiD;yXW8ITgmXr
z?y(R8;Z%4eIp*9~d%4y887-@+HMr~>C1kYUgp0>mi)6(4xdraq;ZY;xfq{@OZ9T1?
zuj0pP=a=#RikaWUw96aWX9Pp=-J@}9XG}VS-X=ow2WId@mR%_ITm0GZsHk#44R|5w
zpZ>BFb*3Wn<t&~rBh9FWfk6Q6G{@J^Bf`Dp`{Wt79rl|j+*Z4zu8fC)o`l?v9u+o<
zCu~*{k$mTFm$%-)yBKz%Fw5iPlOO%51zC$aeDp^C`+fWIX`*{%y0j|B(lsH{C5g0+
z6cB<zE0pvCVRu=iF|4`||IeEMum0{4LY&bgI>BDd1)@+#{9o^g*XD(s79&H$NN9jx
zw56Hki&EMqfyPMag||A`R{<3#ye4505v73Gu7iCC_|{4Zswk5mUX)CH_|k!hM_`2F
z>(=$i8T~wR!`$1?i3u}NJCmb;r1wNXCnqP{^~l?{T>tv@>&)|;e@NELspzMa29(FQ
zoxh&fiZZOZTL;haBRE~SXZg!HMk|0LgP=uc*n}O^_TnJ5EZE~UA%8m}LqQt!RnR%@
z^LE5|+`^Q}M@L;+_4;0Gr{2X?wCiy}=?E}e20FkRyDCdSRM^?EgGXVe+A{3g1lu5t
zHKYz4vl#2<&6|amqF&ojqQkpu@g^150nQ(y3@~=R>Xi1RkrxaCQo>=N6gb|nl~n{g
zj9$zG=&(T$u!B*MzKj9uxMR2R!zz88n5bY5#9_;Qn4GMS4g;@0F?{~W?{QE0>9d^@
zni0U3i&)4zPzvwg0RW#J0}kGogZ0CnIqA%SIBiYMEmcea0_G?la5`y$Xqut5apadU
z`Wt?>5GjzJT;9<G#YbGC+FzE|CE)+XWIR$(a^s$A*>Jt*l0GURTP&(=MNxcVKvzT@
z3fhF4_GeyGnAkB)JL_f?l***pP04tt>%loLl9A_E*P9vZ+3wydSTnJFb=#xnHCwe4
zFHf}J_zsL1d+4Y7xWyDQtYKsnMP=S?Met=)gr$|y&_9Cm<7cm|dp?GaEL>!&Lz!l%
z>l~qKg{tT4Y?TeSyf7nT4`Sy{V>#p)0cu^H#W!6-My5Nt>^WcJ^7twd>ur4dwgImx
z%wO#u0A>jFPGE7f267}y4>3eO*~kiAE0kdN$qs!r7;5~@J${Uz>t_?EYnFkZwk^Ec
z)Z?+ALXOEJKoV2H!V_mKHbtRIDNYNop2Kqy3P=xp|8aKk>(|?H{9$tH4v1KB-OJDk
z@Aa88a^0KmOt9aW{?A3N!Pg43e6S>!3dIo02+=~<_XaN&bN-X0K|^E>>a5VPu<alO
zy#U!isIIP#F53Wl9!iSGrEx$cLQ_+R9u1zF{1U%to<P<>5>MNURh~^x*IiW(&i#0t
zvGG_^4O(K)?8gy*iL|%xIE?+@_NCNKe0Us`!I?5vRnsSoWy*Lw=NR}m;CSWAj3IG>
z#Y>r87HJ?36apPr_9}idVL`4$ge+vz)@5ezA>^|BQI|5paUS5HANSiYggq4v*hK@?
z&D5@dl->^y@jc8?pg%xPD~7Z!J})Kot+BHg&#;D`o&_-WYQSE>ndhhBy|0NX7cZ8c
z;VRP8QYzk_dfB?;bR2TDRoKYUt^CyH&5bXB+peU&K>^VvBr=||u6jY}@!6lTR&8I-
z(tfcbi{_ND2)5Ag{(%&)<E<5F`pbedYXz_w;6yODu$$NdswzvR$GukdV-I2|Vdu&b
zofN~JgC*$>hyq3#rWpo!NmPzG<qmDu3T~1>zC$vgH_$kgWk4n;8>c<z20ku`Z}!dx
zpp(UAoay<f5au~L9z<KtDt>saoB&H-$cu{z3nNY#eTXy)ZU{PiZe=-Q{5Y+as-tQ0
zhm#P&3CdDaS9f`_^t~!L$;Da13eNVtMk78a1|#X+&lc2!r}m_DY)Qjb&JIS*M6=P*
zN29w{9gsJv2Fh&+i7Ia`UF0Qq7uImB_fQBOLgd%1*#n`ctjQDrP|GDH%aE6doxSL;
zJen<RrzJRhDEgDOE@+!bU}kfN#0vB!KbfavxV&srk>Amy3QlneK&--{pMmghITj+M
zW`tBBSWFd)j~m6!a;*uf#TpP?L(vt2M1t5vHNf$%Pzs0PZ>>!Jd>U5MZlF#^NaHkZ
z6d%Fq7zH(ghxJ0m9Dm2{!<N6-fNufoYyTjQA<fa&2S_b8#oY~KR;vZdnGxO%#s;kB
zJ&U0+b}$RlLl^o*XAWAg$IlinaQ%l0B%-+;Kk}cW;W>XRApcFO#=on5e-x0w{Za6p
z<Kokd7eKFHIOl$!v=RJ}q|e1x!MH<$Te~c%h1@SV(C%TC@sGu$znk5L4xEZV%Et*M
zBhLq8vMuwTG2hXt+IW&7UHhNhy6=w2Ke;H*TknIA2yDOqxMPHVnX_1-^N+lLpfQMm
zW1h*_uc@uAr$1$y;>gZ1)NhCpc=ZDII=_wX$c!Tw-2Z*QeSOH5r)CR^1=vBl!JOjC
z=@Q*U_P=F&LI4cKRe}R=g`%tgn@I#NtbuK*CgmL^8y@xVufyy`Vf5<AuOG^D{=w=U
zad%(G0|J;UW5@XzM?PaHrJ#AcChF8C1ttB<E(il~3TXa|uy4SS-{@0e<FcZ#;1>i|
z0Rjxf;cAuIdzfrO6qZTSLdrtNm^soo>vi?xn4}N^WG)&cLPP}MkCNbV+6-c>fz^{?
z65hh|X8!(<GZ7wXqc7noiv8a4|7MlfyK=P3bC;Ngqrl7$3i5kQGe~tMDo2GJtRjG~
z2P%Q0Ee@3`v6KXs18`KT3IMqV>S_!!%30<4dnrW=;w!xtg+fqB$X4JySD7TnDs=(%
zj~p1p7{9Rtwa1!t=2xjIOd0$S8jXqJA|t=VeelbbSOHTmd<v*pujavjU5p`%n8HU~
zF$R!e2pp)i!VVDA+cB}J#m^|oWB)OUjBn2_?>EWqaBk4udNSSCv;B7qA-l3Jp?l&6
zS!0t$j!}5g@Py-f$X8s*0{Etl26QNYKGcHbjHg5`1cP6J+yXEpCTZTI5iH!m&y>!*
zjc|H9T)aOoFAIo^F?r%k<49@@9PIe~xymu1cwlGLHQ+1Q|92?p-P?y48?6)cQ8UP+
zVu!5?FoW!yf5Jg=+DZ?;%m22xN-h_tVqwRW40RkphA!Qj1bRN-rw%($0eEw6%IU(N
zNJ5SxyA*0HCW}tQ6)QA!bZ+8YB1RTEswWivMPCJ*s3OQI{oY`qdp2GMp^1I589ya`
zc=BIYRYX{$th9{$sTvj)kb$>j6_4GqmlHjc@!r>MoqK?w$4>^|7EeDPlOQLsZ@g8!
z-c{w_rG(;2op-ENjouV}fDxWhV|6nm+hlTuZgD_1E=W@3`o%Nw?$AtgGwX6)cu%<p
zXRdmdVqtv?!QHJG@B#3(<bm3JRuMk@$8JZM1y_LDK<F;QfSVApSO_Cfo~(p38oqy&
zOh6^@|3orT;QiMkiR%BgNWv@Jb>yZnzHLpf;`wWVgztYYkgy(l`J+yh$G-8ujUj&j
z!GkmO7QN#HfegVVMVY4tV_4zaIBW*5ks!Zm({Bipih_6`uygOfB6v`HCqCM;@0)|g
z_MzL6A|jR9kX&)w=G())x2c8TCUyd!LkXAXaErQ>IdfVOow|#}5Z|D2z)5KVt><c0
z=z28CGYlT--sBrUfF2!vtvLlEn7XBlN)NT57N{9AX8pX$!xS4oQLeXkHtO^P8$_u~
z1F1;9YkM1j`e4@sMa}*D?~uzA+N9S0y5Ur4^$LYnjv9#ErwAVIbQ&sb7?Crix2$Hc
z*ubxGc%W?MqC~O*UwfU|!t<{<{6i@qXwW(T@m%BuP)7Kr{6vgr{+%$U&R%EikEjA;
z0diZZo}3SI=dVhE>l6WJ<ZU|og#33Vy#F_;c;d+)VfTk3@d!i;*Q+>jiDMU70r&r8
zfhO$ce!&w7`jFE}WURVtw1z8Icz1H0&0OxrUIzGd1pFU}&T;6GQ7zuFPvY^-W9wH)
z^4QE${Y|Kx+15g)bZF3-EC~Fd8M_=ijz=Wjmp^GE@S7n{-H<9<8iHavq6wk(k`k(U
z?$T4UgvCW%aPCokmX;@c4YIR0!FM{J^Vf>zHQVSK@G@-X0t+Pj0+Y<`l5>tmGxp6w
zlVf~h!L)rl_!t*uE@cCM@yu2_{e*9H>t$5T<oPdr>m@OkvEUa;Ob2#BX4wtq6r}Rj
zn=^t;R6tx`&L*MXGhv2OvF|N!@59H%lzNPPL(FsyM!OHjyMZU0M_0(d@WR(~TCi4|
zjzA&_%8Z-$3R_wjiZa6}ZAyqanc690VE6VAM|SJ+<4+X6zZ*lV64CaFsDQ{o3xSYU
zzi&t=Gy#<RRSx|%8H>UrBX`otgi#EY2K~K(a~O%M!!r+t=S^l97;M96y39;;G4xuX
z8_3lMq0%zoWRPUF`dLKMOrj58?5DdL1|_ZDQ7j!H$;)uhqtL+`lu0HvjWj*L(9qC-
z{@9#9%f8u`R7sA)f3qz~@`TAQ)d%`<JQ6fxT_)P$z!Mby)O<(W*AxgwpI*M~_2u#<
zHTmxAG_p6wArGjaGDQhQdU|?lRS8`?wHMuoyA=mJPhW4oTO`z?6z!q~cN8R`)bWA?
zRi`i{fWnmRI)C8Z_=s<5oVY4dpHk=!N-k_@+}MVudtT-My(mudx{pu!-44=wAo)~_
zPIZL)g+P5u5(UmA`;8|I8BJl2gs(+7uVlDKK3ddZye%`6%rj<YW_>6nBUL05Hsf@K
zXy&%dx0|ltqHi}J#gG|b6SS)dd0c(m$y+lEPhQZre!MV+j{+IN9vkm_^D{1A6TrY?
zz+IHy`633wo96L~-%sIVz=ztq)<jSmm}W7e9V#N-*IjKK$4Gj1#rTBw`jreDTa&r-
zH(DH#gZqd+vNH4T?csq&0{(VvG+tdWeJWzZx=csN|LzlN0kX4-5Bnh&zIrLkPu|Jy
zVk-Pdl>5RogN}G&cy?GPuX`yzYEnHW^4g5EyyO+IVJ!i0n`+QQXT?Y@9uu($vY#%~
z+;UFeS6Kr*tu!=)8SA^D;2<ng>|pf!%twpq>C%ce-_d@dV;rMkR*Z~--KPq{NoTrx
z8*i(yk-s8XoaxISlZPIJ!PpxLD06qi_!rl&U-yl}v&w>;$<2RiO*1lWnV}feykADg
z){yboPZOV;dl!NtzC2lzxfQ}Vh$7(^+KG$5uEypXoNLD4_V3`+-3HLV=?N5pG=@x>
zO(T(GOclX01iLvaA5kqHU(?s;h(c+tqG{k%?z_da*dB&=yDv8SlGl0Rxjla>g}0ha
zo+`LX2^qHPHV)_V)~_t6d5o1Ev<;{kC5V7TilA%~j99aLqPBD<yX31~%_l#%eMej;
z>uuXh@B9M2b64y=;sF-UJ3dqh3Y;~r#5{Q@w7)iOkZny?I{62`Aw$W__^+96Xa6I*
zjp3uk;#J=?e_i^mr|Gx4;kSmzm^kk!sqlr01^BCYqT8WE_u)#?)X)fq0=E@j!^;zo
zU=5WWzdwfIIP*V{&OAaMg)OPrXxQ*&+*#{2htNIOiX9~!Bdvfr3`uEh7#ox4Fx+QV
zZd9<#tY|_E6>;?l0-_jIO7X_)oa}Qr)$Wd#xxiT3Wgn$ZQ@H}XK6*$~QC{AFZG)r>
z-<u4sUWyI%L(uP~W~B~1?|!9yAP0|}zG>qcdQwaUJxFoIDuV0T{(0Wy3L)<5F&#RE
zSv^ls3n?}lb@g{OFY?M-!~&jr#P)Vk(QZ}|pvW2U$v2L3pZqdR>g`V4&SO6ZbbPOP
zYiz7%(YSi_@wIUZF>A?Qa+{n?-SC+hpti9n=jeLuH^nky2ctrXF`YV=w-Uo6n9b-B
zckWH$UWc)`4oN9<80lxG=YOxbX?)Mjuh7;3`6sr2zDYfczVtpKWogfbdL!RLf-*P$
zR?nfy@nNEjqMR8(<YXX2=74`eVuUPK^kRC2)Hw_#lh#+?1v@JC;@P6ThQuu2t_A}v
zgh9swnG$dtsl%awx#fPp2h3^8gIG{C{33%96zz<0c!}ta#AJqE4j*Y<@q-b*$Z_k<
zF@kco&YUVQ(hfm!BvJYI=%2Y`mF3X$-qikf+K^`0{o~emufbT(*cj4oaN{S-5+xIx
z79xBsMpiV-$uMZ6HL3{)W6lLLKT8GAJE18uxB^-z?SL<kl8JnTIISol7DhP7G93ZS
zfT-SYSWei-v^=x5=wwQ?&%}YW6#{F7aqlGA8ZlZB!z=@3!&Z?j1nYo+MPmGSNorSJ
zon^dw+C`ziv9teuXg_8;#6L4Yf8c+EIIyfvrr}{;U)eF$?fa%BS`*;@YJas#wKygb
z-!jtM3GK%0BvP$FGF31<ST~&A@a0x)K44%Of~AY-FAicdWAe27s1$<c?&p>@R~Rr5
z5W2#oF>u9@zaJ|boGUCmA|eOwg*rZAXB6SRHB-6O&y@vr-!s?QV6Z#lTU`6hZg_jg
zC3N6X)!en~XI5YS@PHcHX2UDO*qRGcXs2T^t|+0}qNxM$GKHbnBS8$vugh;6SGx6H
z1c$$fMJd{N2NqjG@$*f5zFY#9d8LX|##K_l$WRDtws9p4BsOLqWPkzrByo9{w)O)^
zU$)Th4Ry-{hyY1sLk}<}kLFpI9mB90<gsrd{x7vR_vq`69&wyVfYOU0%IiiDNV9&Y
z96UK9F5j!TLlMZ7@zrg%>Pf`I3$ix<qS4t&sb(|{?rDysMR`6|XaQ%rkB!n2`=&c*
zQInitk&TCjLMpQ%^bXbx*J80TAaoIu03}1}AZ&oHW*!dbScf*+>~UuAq4p>a=LkTp
zfap{ZKTXgJ?Lu_Fo+ZMgd{Vz$I*Jf13?Ee-cs~`unbjKwqyEbByE!}X2GWJ!;3Q=*
zWPbsK&y9K}`vEd^B49=~eddJw6F=c3#x8AvZL{;y`^b`KhdWUHz!p&-c@%1xzOwjK
z+q|2}>@H0EjGb^&%(iI&zfYN;E2R#a@l0Qm971f3J$vrWM^(i&3lJyi*!Cprz&9lG
z<deyZwHqZAvQAcpK7G0ycloOFW*8;ryL4TJk4cxc8@(L3*@Bh?GMUy5d|F4T7k~wT
zzu|ur7>gs{^y`Ogwy@8Bd)%e`UR{LU?7}nDqBzu`2r@rHnYj>Wj@$6iGglh(p*(M-
ztCB68p(b}{yr}(x!&OGZecG4iZCHJ{%FDHD(O~_Yv@1{@VQe&5(BhUac&QMz+mSRw
z6ikk`gF~-FIkCUUs0@dtrf#tPWH-XZVk#c=PM^Xi#b1;Q$D+|i5-(>Xd6+xACZLJ-
zHJF0$)~$qJXUns>C`jNA+|5Rgc-Yzu14<&GObBK(DL|o$%uj;y?<YK0Zo@rp@vSn`
z+OhI%R7Y>z+kDh|ra=^oN2yLy91xA_ASRgEu&HqDvK}3+>av9^62xUq96r2h-6tC6
zid>UT!`(*1_tOSGuIz)p6!qynPOjH+<SRSK1^N!<ntUE=R&y&t;Ck+NH+%p_lQi&l
z`X+H>#wy*x#B5|d{xm2%a}oqCvHca@-Q5y#6megulgjyN(iz>c$+=KdrqyKO?WUi3
z$qm?Wf9aS1i1QF^X>;-)HQ$cO227MEl4|-{F3A0O@7AqbyIN68L5*xTybgtcX`M22
zy1}G{=&#bgzg$Vy42t7UWNzA%R$pH~c}NyJ#1(rkE8zZ;k6&=wU?QlY_67}2&1O8Q
zY?`{HLkZxxD2OXXcHd9Ya+^^$4~)a65|p!my8u>r!w?58Dt04G+6Lb(5!oPZl(Y^(
zA-RK8TEJntI?@_%HOS&;?%znneA3fR<%o2;M2SK!7=M5&bcc=8`gvLawCTv8u<<R*
zPH<RkP74HN4S+QSQaTnO3@n{uiuwSe*p)2$0p?Wq$cx--(8P-bi0+F<0}J~Gu^4UO
z`d*F?4=D`SGuZ2_Kob%mFguSH&G_>BFZPIk7iW=N3g@sep7__R_>mC{Qj@|Pak?i0
z#98@)vS5{#jK24CP*}IXD0U;i@nXLqgmYz3QdJ#MgWF|zAb+?CU5H(EBR;KC`TM7d
z_&0+wybAsgIvHquYgf3@;C5<!iR}e?X>cN2j79`dU_Xf!5(mEK=yj=KrU`h>Sg5CQ
zOWTKIPsTsrb)#{9mfPFM%Y^yOuH0N;8a!+4q6+?HL9>+?Zkl;x{Q0;AdqZZfDcznW
zJZV<T^_{b}IXvC5b@Q#bRb$Vc6I}XAeNymrPvuR#d@SBgccuhSXFg#muXSo4o;+;g
z|2WB^;)rtGpzGmpTk<ya6er|=dU-><oU+e_=gyUJ>@rooxq6HBr#HJ`gvB0LGcKI2
z$>TFZ#yhmt@RV}D3S6)MKwI3WZTXXX`E@4G4}5IGuCexb=;&*~=AXC^1HS$L<cF1%
zAFoiMLlj+bqT}*_KR%wITv;+RU%zrC2p+Iy2-Beu0jL&0eJ9SY((|U>wdv|M(Oo-s
zcslm9M?m&w0X}7Q=66eN>~bg>NB~-g!@vfUkCtMn1syh+3wUSW$~D2%8X>j>>GdiF
zeLD~xhrCIINluGV5TitW%tKH|DH?xs&&d)Yi|*0~Qd?o~+Kmy4D{>}P?q!!OdYCeD
zxoy~Rc+pVma!Opon?Hbp1zD7vqK(l5(uqrtBPs(FgiX-+_Lw7vUXzYo%&W@1Otxgm
z0KDYC`96(~hDErxZ2-mx%nxcUt;2%gCRjuJkASa-v{XgqCoIzO7W2uORl*3!`N+=s
zI7!znE;BRJy`S@FgYC9}Ct5}>9%s&&K~9s{k=l=tgL@#Y##+j)9(g{L;v4Ofx^cwO
zR3+qzHnlX{Tp*D>&Oc;?UT<k>IjG}}{*W|`m`2hJ$-VHJ!=Cx?>VaR|psOT(4~=Sp
z*9wm?S-xmQ9QtGmgGjCf(h2RUDwU{^HM>2$bLSWDL!n@0;IM`109?#j*G~UBeJ?%6
zfc9L3dSQPIx;@xt^2^|&UwqA$Z5z?-1kJ6$Ptq76D7&?>H5$kVv_{6oX~A>`QdJfm
zE3#ATH{f2s&;COm)@}Trf=8Ap!Z8*D9|3Y8j0Z0Lbet5lP}#l4v^WSp+!QV%YcCe#
zIx$7u8%L+;b%i~<cheqz!^bBaWX~_nd)UOWz!YkbaAFGpAOYPpQv(&JMC=*zkVsTw
zbP^i4`PaX^8eM2LwLplOED*9?4yk4-g-}LQ&J|7g_Vm<1H$tAp)(tg5Ni;#~ml|>H
zNa>B*>go$vl;}FCefw_IMij8iVk0oCH1aryas7}E^>01NdPO$*lu80DAC#67KE7l9
z`6Up{en|L++O!WA4uYg8qZ=!vXZg0{62_j`>EAwDd>qrEpysVS@GUs!<8GWaG!Pz1
z5EPpQ_EO!&#l^pjW){kKzF8CKm`NIXxE=3eigY|D)8;gw4GS9m_t9IACM}cy8=?u<
zsH35hmfO-SPPM6+D2NZ0wVX(xz+Rx#PJQTUim6V4oG0#CruU9OIUP1~YwF$mKOf-k
zPK?ASxH^lnnPOtSDW4#9Tg85ZRc(x{#Y@bne7Ivyh?t1zL#!yX^FgulYVAmUGrM+_
z_`h8}2-SUa{2(s1Cvy!3UD$b9)TQBhb^p}vm107k5$GZndfM<FKS3+Dc=hU{#$Jdv
zdfSpxQ)}r3kKlC|FNO?7ILeMJ*C<XDs$OJe`4c*{m7V?i^;dHX9q-2EC>kid;lzh?
z+DS+fTa*nf%qc)zLW15C(uj*IDg+A#4N@Fq>o&lY`NpKm`%}r)4&9*sqMP{_(qa`L
zI&y7Xmc7Ctv7{sAX!8(ub4=L2dJuVHAL6~fEf{6eZ7ks4VFzPOL`<ngBY-M&5xNkP
zJYAszp<*8b%$Bkozr382^3+H#8ayuY&tm$o`T122o$1@B<4vs*7_{t<C(K~jH5|68
z<ML0a_1oh|`hH6Kw!3uO$7du@1PMqXcCnW9EJ1$++w*QLO(3bHLSj<<iZIqAtvTEx
z9q;>azDXD)YOtk2W!=`fP0}(d+A%MeDvLnB7gRAIpXNu{t0Cu8UO+gWLau}nYp$fC
z;vsZPh~6@y*qIBn#0Mgc5u``P4jRk>e^|wyZ3$3mVLFs1(KwgpK5#>Bjb-Y(OkaVt
zv27Su*_r5uWbSKByyGV92|V3%U!9aFaCu^z8C{=`SEs=i2Fdn?od;6F!j_X`05MyA
z$cu*Pko~QCwHI{Pa1Hl0-E*&Wnz-F}B-tzInj8xKt?XVzL<|}ln|wzKK}};XETV#}
z!^ofI2=^n?)?Dghe%%rjTm}u&*bq%&4vTJk1^R|!!Uc1lCPyMJ>Q<wyk<f4GfC5vI
zu30JPh3iJ)c#E<>eEc{rS=6mf-X9Uz<q5bHY9XH>Q);!Yp%HX!;FlJ50~pU4*nfOz
zz#+;G1ZiOZE?wQ04OS)>&YnH%56&sd4qIxVYgF#LK_D)k8Shttj+27gSE0NgPCUn_
z>i*`-s-lB~U#vMCB$SLPB$*sLrvM|26sddjJ?`M=xSpihO{vl%Ybx@$TUc~2S+}lS
zc{PcH@;f8CZ(h4*%)Cj4Er&PWS4PFbi8326N=r&cmReAobvuib=mV|~mjr;Bw^T^Y
zZK}{Y!i~DnHCn}2b#|gk#qQY{EzpLG7KX+}i7kzcOcx+7c$PB-DL8>#T$##jh_WiB
zQ_=mR5VpmXTiPg53?4mOR?LP3)ky>n9MYHuN42gziwSlHYcP(FWt6rzlHd*&+x7Er
z^S?i0&6_df9x{Vi=7!ho0a&wxZx4J}a^d{>FXrozzJ(pGPd@{>7Ke1aDPn4_)wAb~
zGT)r7Pn>WL>^X#^FVJK;(#>-@ew0BvPoQJkJ8T(ZEb3GYFq5#~vV$Hnv*oyEK?oUG
z#^NdeCJH8<+X4x^cAmiPoB+J%y56~Ja3P4B=bhg`eV`Z%H|M$k-X%hq^tR+-c|k!C
z%m6s@O)-0flp*<U<#hl7(JH{W7(&cE4NX`-j~rwXP|A|+kRAN$)hn&6_!TNNNExO(
zNUlOKwv*50k}5>P`Hf#dcW&=fTh*rft@9Yx)Zr}794pF2a?Oe{5<S_~v@6OE>P^=w
z`LC}QDR@<_T%q^u*qyqkBHv^Yu{ijxPAIh#2%y~1rK8T9&^r1sv5213430i6v)WAV
z%RqNVdO-P}>U$`{9KIC|iN<QozApwxMKp7qzG#E)Xw|6{e|Y>Ma!!`_<(%lcQ95T5
zH1rgpNG&iTc1Q<@&)I5gfazP1uE)ZngQj*jf;W&N)rY1o47T|ugqq#>pjcrNy+VZs
z#KPWAn-QLn{x?JXi`@pRvIYZs;vZm@u!m-B?tGb7kYdx!ZmfWz#6O_(r2x|~N8pOC
z_s7tiPMoZ~S5|&EUF2glHog@oihCgWI3lGkR;lNH=srbp2_5t*^$iWNz&A*^7ZS4A
z)X8jEvL7pq*W68lcLX^L(xbdgrft)fJ*Qe)d>*|8wbxizJ`8TQH#rlz={Ow$y87U0
zMn@M)vlOu+%W#^Qu;7+>S|`=^&I)A)O(vs;=iO6=LAJp3N}er7ZFAgZawo;FQA->6
zs*=VT7$?e!LxmLK-SHh%Z*A&0TXmJ^dK*{Oc)w}CJjuo=@mJstu7j;c;YdAm1O@_l
zb}*;&uFS^h)J1J|hn_ng|9P|<D2S-B&X;HF3h>){d#_%t*FRP-=<R7NRqk*oc$s>W
zL(Gnyq~JDKYfFGex;IwdfP`={D=;W-rQM|uh{ubv1G3sxm1ksG0kf+zn<|RbY{T((
zX1`m&9B99N?2F7yyFNMI8lOnSqwuhbP$&}HM)8^Qj$NM*@>adAJ@s^0y+C)Xi{6ix
zq{eUXbX03V?^4?um9j{zPT2LuSb=l4$Cgse2^{oTx{l_NhE+W<T;WFFr_BUB8UNdN
zk<9$bjihu32Nl(c@;uOqc5kQ4Rc~`qy~4!(&HN<zH+U2K=UL<91xl%5Q-3mU>|1QH
zcrETsRu&t=ELVyz4p8vI;~-w4lRxzOj};VDGI$#UlDLx?1-gwFjoKp;W%@65W9(^1
z{Y{%d2sp_-OI$v@7>)L@EkZOvIe;MWG3|)7>4qFAkg35mNOgWY<6x@&m%Bjv9*|n;
z{jsHpvkjjeDpFkoXc7lh4D!m>mdeKAqdL6at>01kbf^o{Cn-dtt2=rR%Dmq4KBzs-
zKoNj+rs;WTjpR9fJsnZt@1e`4)I?Z$Z%A$RK1A3#809Y;4`ZE?CWmEYa?8ZTWL<a^
za0bl)Ifvb($OgGmne4r<x(;uee1!zIFkJ!?l3+k4Ln2#tP|PuodvVgNNxlv4$$|F+
z-lHz|5KKSl7U(`YEIC=r9dPM9!a*?$X^AJzzNHDoIH_&E9FaYXWq}bskFYe}cF16z
z%Oc)BKQRC&rDIFzgMqk>0L(ynHQ6GE@Wr+4oBsY)2PDeyTFtN+n%lh*EEbEss@I9G
z3FFB%5IPY!eZDFUghf4Im_>C0iDQXd)V^{Yd%7bAtac~W4dyla5-!sPV}mJj$@_+S
z(mGCB;X+$>%AP*%<|CmOf`-hpHu-I9HCs%j3r6_(O@r~<g8EOS)VK`~l0)Q#wY7`)
z#aAP#&U23qqrbVvbm?%aoBYfx<j=Za7e^0CatVV#L5Ut^r_{c51{uGIy9A_$!kI=h
zU>pl2^3$|5NR*R#AH|&&byP-}UlHhpSr{;i;c-Aq3Hqf8SIyDV8L_(I>yCJSF*i0j
zvv~1hyYM+ryW8IGfd(7Xs{AR^29-Sh7lOH=oCB?e{byyA9h_Q4PzsZ|lpE+db*eUo
zeQ_hWaJ5h#xMuMqz7DiEwETB*<Pt_VY3kH+8p?}YdqQZ)C;|(VtaY=YD?;xmO~DTX
zt?+Q)!y6@f3+0p-fujcH31bsimLo;Sml|F0C%8d0nH#tssMI)G9f5(O$Les``w*K$
zkUh4Db?ZB2Qd0v)T7sHa_^UA0X%L(Zrh2os+W6rPIK+{$e32}CGNy0OrMpD~aW)4J
zRSDNO<~}|T>SB#TAvR8+nUQ^b;qqmY*l0`W*j&OVfexS*RYu#yf=R}nG@1aiE<^zD
z6xep`g1GwVj2;^&9KIA~0QU*Zj0L5|r&3*cs!0S1+;m#?xXO1VoupnIU}(^|lVU$Q
z>2t@DY9LL2j5tn$6(R!#7%?}cwl3Q0iOwnoI-i|?A~j0qfu?c4Cg}XP25P$9c*EZ}
U3Kj0;E^5}6otq<n-FNzb0FDUHkN^Mx

diff --git a/reference/resistance_predict.html b/reference/resistance_predict.html
index f0912b87..fd406761 100644
--- a/reference/resistance_predict.html
+++ b/reference/resistance_predict.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/skewness.html b/reference/skewness.html
index 2a3bdf7d..b66173e9 100644
--- a/reference/skewness.html
+++ b/reference/skewness.html
@@ -12,7 +12,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/translate.html b/reference/translate.html
index d9d7c37f..00586ade 100644
--- a/reference/translate.html
+++ b/reference/translate.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9012</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9013</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/search.json b/search.json
index 4c94d44e..327dfef2 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to conduct AMR data analysis","text":"Conducting AMR data analysis unfortunately requires -depth knowledge different scientific fields, makes hard right. least, requires: Good questions (always start !) reliable data thorough understanding (clinical) epidemiology, understand clinical epidemiological relevance possible bias results thorough understanding (clinical) microbiology/infectious diseases, understand microorganisms causal infections implications pharmaceutical treatment, well understanding intrinsic acquired microbial resistance Experience data analysis microbiological tests results, understand determination limitations MIC values interpretations SIR values Availability biological taxonomy microorganisms probably normalisation factors pharmaceuticals, defined daily doses (DDD) Available (inter-)national guidelines, profound methods apply course, instantly provide knowledge experience. AMR package, aimed providing (1) tools simplify antimicrobial resistance data cleaning, transformation analysis, (2) methods easily incorporate international guidelines (3) scientifically reliable reference data, including requirements mentioned . AMR package enables standardised reproducible AMR data analysis, application evidence-based rules, determination first isolates, translation various codes microorganisms antimicrobial agents, determination (multi-drug) resistant microorganisms, calculation antimicrobial resistance, prevalence future trends.","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to conduct AMR data analysis","text":"tutorial, create fake demonstration data work . can skip Cleaning data already data ready. start analysis, try make structure data generally look like :","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"How to conduct AMR data analysis","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2 RStudio. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. also use cleaner package, can used cleaning data creating frequency tables. AMR package contains data set example_isolates_unclean, might look data users extracted laboratory systems: AMR data analysis, like microorganism column contain valid, --date taxonomy, antibiotic columns cleaned SIR values well.","code":"library(dplyr) library(ggplot2) library(AMR)  # (if not yet installed, install with:) # install.packages(c(\"dplyr\", \"ggplot2\", \"AMR\")) example_isolates_unclean #> # A tibble: 3,000 × 8 #>    patient_id hospital date       bacteria      AMX   AMC   CIP   GEN   #>    <chr>      <chr>    <date>     <chr>         <chr> <chr> <chr> <chr> #>  1 J3         A        2012-11-21 E. coli       R     I     S     S     #>  2 R7         A        2018-04-03 K. pneumoniae R     I     S     S     #>  3 P3         A        2014-09-19 E. coli       R     S     S     S     #>  4 P10        A        2015-12-10 E. coli       S     I     S     S     #>  5 B7         A        2015-03-02 E. coli       S     S     S     S     #>  6 W3         A        2018-03-31 S. aureus     R     S     R     S     #>  7 J8         A        2016-06-14 E. coli       R     S     S     S     #>  8 M3         A        2015-10-25 E. coli       R     S     S     S     #>  9 J3         A        2019-06-19 E. coli       S     S     S     S     #> 10 G6         A        2015-04-27 S. aureus     S     S     S     S     #> # ℹ 2,990 more rows  # we will use 'our_data' as the data set name for this tutorial our_data <- example_isolates_unclean"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"taxonomy-of-microorganisms","dir":"Articles","previous_headings":"Preparation","what":"Taxonomy of microorganisms","title":"How to conduct AMR data analysis","text":".mo(), users can transform arbitrary microorganism names codes current taxonomy. AMR package contains --date taxonomic data. specific, currently included data retrieved 11 Dec 2022. codes AMR packages come .mo() short, still human readable. importantly, .mo() supports kinds input: first character codes denote taxonomic kingdom, Bacteria (B), Fungi (F), Protozoa (P). AMR package also contain functions directly retrieve taxonomic properties, name, genus, species, family, order, even Gram-stain. start mo_ use .mo() internally, still arbitrary user input can used: Now can thus clean data: Apparently, uncertainty translation taxonomic codes. Let’s check : ’s good.","code":"as.mo(\"Klebsiella pneumoniae\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"K. pneumoniae\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"KLEPNE\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"KLPN\") #> Class 'mo' #> [1] B_KLBSL_PNMN mo_family(\"K. pneumoniae\") #> [1] \"Enterobacteriaceae\" mo_genus(\"K. pneumoniae\") #> [1] \"Klebsiella\" mo_species(\"K. pneumoniae\") #> [1] \"pneumoniae\"  mo_gramstain(\"Klebsiella pneumoniae\") #> [1] \"Gram-negative\"  mo_ref(\"K. pneumoniae\") #> [1] \"Trevisan, 1887\"  mo_snomed(\"K. pneumoniae\") #> [[1]] #> [1] \"1098101000112102\" \"446870005\"        \"1098201000112108\" \"409801009\"        #> [5] \"56415008\"         \"714315002\"        \"713926009\" our_data$bacteria <- as.mo(our_data$bacteria, info = TRUE) #> ℹ Microorganism translation was uncertain for four microorganisms. Run #>   mo_uncertainties() to review these uncertainties, or use #>   add_custom_microorganisms() to add custom entries. mo_uncertainties() #> Matching scores are based on the resemblance between the input and the full #> taxonomic name, and the pathogenicity in humans. See ?mo_matching_score. #>  #> -------------------------------------------------------------------------------- #> \"E. coli\" -> Escherichia coli (B_ESCHR_COLI, 0.688) #> Also matched: Enterobacter cowanii (0.600), Eubacterium combesii #>               (0.600), Eggerthia catenaformis (0.591), Eubacterium callanderi #>               (0.591), Enterocloster citroniae (0.587), Eubacterium cylindroides #>               (0.583), Enterococcus casseliflavus (0.577), Enterobacter cloacae #>               cloacae (0.571), Enterobacter cloacae complex (0.571), and Ehrlichia #>               canis (0.567) #> -------------------------------------------------------------------------------- #> \"K. pneumoniae\" -> Klebsiella pneumoniae (B_KLBSL_PNMN, 0.786) #> Also matched: Klebsiella pneumoniae ozaenae (0.707), Klebsiella #>               pneumoniae pneumoniae (0.688), Klebsiella pneumoniae rhinoscleromatis #>               (0.658), Klebsiella pasteurii (0.500), Klebsiella planticola (0.500), #>               Kingella potus (0.400), Kosakonia pseudosacchari (0.361), Kaistella #>               palustris (0.333), Kocuria palustris (0.333), and Kocuria pelophila #>               (0.333) #> -------------------------------------------------------------------------------- #> \"S. aureus\" -> Staphylococcus aureus (B_STPHY_AURS, 0.690) #> Also matched: Staphylococcus aureus aureus (0.643), Staphylococcus #>               argenteus (0.625), Staphylococcus aureus anaerobius (0.625), Salmonella #>               Aurelianis (0.595), Salmonella Aarhus (0.588), Salmonella Amounderness #>               (0.587), Selenomonas artemidis (0.571), Salmonella choleraesuis #>               arizonae (0.562), Streptococcus anginosus anginosus (0.561), and #>               Salmonella Abaetetuba (0.548) #> -------------------------------------------------------------------------------- #> \"S. pneumoniae\" -> Streptococcus pneumoniae (B_STRPT_PNMN, 0.750) #> Also matched: Streptococcus pseudopneumoniae (0.700), Serratia #>               proteamaculans quinovora (0.545), Streptococcus pseudoporcinus (0.536), #>               Staphylococcus pseudintermedius (0.532), Serratia proteamaculans #>               proteamaculans (0.526), Salmonella Portanigra (0.524), Sphingomonas #>               paucimobilis (0.520), Streptococcus pluranimalium (0.519), #>               Streptococcus constellatus pharyngis (0.514), and Salmonella Pakistan #>               (0.500) #>  #> Only the first 10 other matches of each record are shown. Run #> print(mo_uncertainties(), n = ...) to view more entries, or save #> mo_uncertainties() to an object."},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"antibiotic-results","dir":"Articles","previous_headings":"Preparation","what":"Antibiotic results","title":"How to conduct AMR data analysis","text":"column antibiotic test results must also cleaned. AMR package comes three new data types work test results: mic minimal inhibitory concentrations (MIC), disk disk diffusion diameters, sir SIR data interpreted already. package can also determine SIR values based MIC disk diffusion values, read .sir() page. now, just clean SIR columns data using dplyr: basically cleaning, time start data inclusion.","code":"# method 1, be explicit about the columns: our_data <- our_data %>%   mutate_at(vars(AMX:GEN), as.sir)  # method 2, let the AMR package determine the eligible columns our_data <- our_data %>%   mutate_if(is_sir_eligible, as.sir)  # result: our_data #> # A tibble: 3,000 × 8 #>    patient_id hospital date       bacteria     AMX   AMC   CIP   GEN   #>    <chr>      <chr>    <date>     <mo>         <sir> <sir> <sir> <sir> #>  1 J3         A        2012-11-21 B_ESCHR_COLI R     I     S     S     #>  2 R7         A        2018-04-03 B_KLBSL_PNMN R     I     S     S     #>  3 P3         A        2014-09-19 B_ESCHR_COLI R     S     S     S     #>  4 P10        A        2015-12-10 B_ESCHR_COLI S     I     S     S     #>  5 B7         A        2015-03-02 B_ESCHR_COLI S     S     S     S     #>  6 W3         A        2018-03-31 B_STPHY_AURS R     S     R     S     #>  7 J8         A        2016-06-14 B_ESCHR_COLI R     S     S     S     #>  8 M3         A        2015-10-25 B_ESCHR_COLI R     S     S     S     #>  9 J3         A        2019-06-19 B_ESCHR_COLI S     S     S     S     #> 10 G6         A        2015-04-27 B_STPHY_AURS S     S     S     S     #> # ℹ 2,990 more rows"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"first-isolates","dir":"Articles","previous_headings":"Preparation","what":"First isolates","title":"How to conduct AMR data analysis","text":"need know isolates can actually use analysis without repetition bias. conduct analysis antimicrobial resistance, must include first isolate every patient per episode (Hindler et al., Clin Infect Dis. 2007). , easily get overestimate underestimate resistance antibiotic. Imagine patient admitted MRSA found 5 different blood cultures following weeks (yes, countries like Netherlands blood drawing policies). resistance percentage oxacillin isolates overestimated, included MRSA . clearly selection bias. Clinical Laboratory Standards Institute (CLSI) appoints follows: (…) preparing cumulative antibiogram guide clinical decisions empirical antimicrobial therapy initial infections, first isolate given species per patient, per analysis period (eg, one year) included, irrespective body site, antimicrobial susceptibility profile, phenotypical characteristics (eg, biotype). first isolate easily identified, cumulative antimicrobial susceptibility test data prepared using first isolate generally comparable cumulative antimicrobial susceptibility test data calculated methods, providing duplicate isolates excluded. M39-A4 Analysis Presentation Cumulative Antimicrobial Susceptibility Test Data, 4th Edition. CLSI, 2014. Chapter 6.4 AMR package includes methodology first_isolate() function able apply four different methods defined Hindler et al. 2007: phenotype-based, episode-based, patient-based, isolate-based. right method depends goals analysis, default phenotype-based method case method properly correct duplicate isolates. Read methods first_isolate() page. outcome function can easily added data: 90% suitable resistance analysis! can now filter filter() function, also dplyr package: future use, two syntaxes can shortened: end 2 712 isolates analysis. Now data looks like: Time analysis.","code":"our_data <- our_data %>%   mutate(first = first_isolate(info = TRUE)) #> ℹ Determining first isolates using an episode length of 365 days #> ℹ Using column 'bacteria' as input for col_mo. #> ℹ Using column 'date' as input for col_date. #> ℹ Using column 'patient_id' as input for col_patient_id. #> ℹ Basing inclusion on all antimicrobial results, using a points threshold #>   of 2 #> => Found 2,712 'phenotype-based' first isolates (90.4% of total where a #>    microbial ID was available) our_data_1st <- our_data %>%   filter(first == TRUE) our_data_1st <- our_data %>%   filter_first_isolate() our_data_1st #> # A tibble: 2,712 × 9 #>    patient_id hospital date       bacteria     AMX   AMC   CIP   GEN   first #>    <chr>      <chr>    <date>     <mo>         <sir> <sir> <sir> <sir> <lgl> #>  1 J3         A        2012-11-21 B_ESCHR_COLI R     I     S     S     TRUE  #>  2 R7         A        2018-04-03 B_KLBSL_PNMN R     I     S     S     TRUE  #>  3 P10        A        2015-12-10 B_ESCHR_COLI S     I     S     S     TRUE  #>  4 B7         A        2015-03-02 B_ESCHR_COLI S     S     S     S     TRUE  #>  5 W3         A        2018-03-31 B_STPHY_AURS R     S     R     S     TRUE  #>  6 M3         A        2015-10-25 B_ESCHR_COLI R     S     S     S     TRUE  #>  7 J3         A        2019-06-19 B_ESCHR_COLI S     S     S     S     TRUE  #>  8 G6         A        2015-04-27 B_STPHY_AURS S     S     S     S     TRUE  #>  9 P4         A        2011-06-21 B_ESCHR_COLI S     S     S     S     TRUE  #> 10 Z1         A        2014-09-05 B_ESCHR_COLI S     S     S     S     TRUE  #> # ℹ 2,702 more rows"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"analysing-the-data","dir":"Articles","previous_headings":"","what":"Analysing the data","title":"How to conduct AMR data analysis","text":"base R summary() function gives good first impression, comes support new mo sir classes now data set:","code":"summary(our_data_1st) #>   patient_id          hospital              date            #>  Length:2712        Length:2712        Min.   :2011-01-01   #>  Class :character   Class :character   1st Qu.:2013-05-03   #>  Mode  :character   Mode  :character   Median :2015-06-16   #>                                        Mean   :2015-06-21   #>                                        3rd Qu.:2017-08-24   #>                                        Max.   :2019-12-27   #>    bacteria               AMX                    AMC                 #>  Class :mo             Class:sir              Class:sir              #>  <NA>  :0              %R   :42.9% (n=1163)   %R   :36.1% (n=978)    #>  Unique:4              %SI  :57.1% (n=1549)   %SI  :63.9% (n=1734)   #>  #1    :B_ESCHR_COLI   - %S :41.0% (n=1112)   - %S :52.0% (n=1409)   #>  #2    :B_STPHY_AURS   - %I :16.1% (n=437)    - %I :12.0% (n=325)    #>  #3    :B_STRPT_PNMN                                                 #>     CIP                    GEN                  first         #>  Class:sir              Class:sir              Mode:logical   #>  %R   :42.0% (n=1138)   %R   :37.3% (n=1011)   TRUE:2712      #>  %SI  :58.0% (n=1574)   %SI  :62.7% (n=1701)                  #>  - %S :51.5% (n=1396)   - %S :59.6% (n=1616)                  #>  - %I : 6.6% (n=178)    - %I : 3.1% (n=85)                    #>   glimpse(our_data_1st) #> Rows: 2,712 #> Columns: 9 #> $ patient_id <chr> \"J3\", \"R7\", \"P10\", \"B7\", \"W3\", \"M3\", \"J3\", \"G6\", \"P4\", \"Z1\"… #> $ hospital   <chr> \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\",… #> $ date       <date> 2012-11-21, 2018-04-03, 2015-12-10, 2015-03-02, 2018-03-31… #> $ bacteria   <mo> \"B_ESCHR_COLI\", \"B_KLBSL_PNMN\", \"B_ESCHR_COLI\", \"B_ESCHR_COL… #> $ AMX        <sir> R, R, S, S, R, R, S, S, S, S, R, S, S, S, R, R, R, R, S, R,… #> $ AMC        <sir> I, I, I, S, S, S, S, S, S, S, S, S, I, S, S, S, S, R, S, S,… #> $ CIP        <sir> S, S, S, S, R, S, S, S, S, S, S, S, S, S, S, S, S, S, S, S,… #> $ GEN        <sir> S, S, S, S, S, S, S, S, S, S, R, S, S, S, S, S, S, S, S, S,… #> $ first      <lgl> TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,…  # number of unique values per column: sapply(our_data_1st, n_distinct) #> patient_id   hospital       date   bacteria        AMX        AMC        CIP  #>        260          3       1852          4          3          3          3  #>        GEN      first  #>          3          1"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"availability-of-species","dir":"Articles","previous_headings":"Analysing the data","what":"Availability of species","title":"How to conduct AMR data analysis","text":"just get idea species distributed, create frequency table count() based name microorganisms:","code":"our_data %>%   count(mo_name(bacteria), sort = TRUE) #> # A tibble: 4 × 2 #>   `mo_name(bacteria)`          n #>   <chr>                    <int> #> 1 Escherichia coli          1518 #> 2 Staphylococcus aureus      730 #> 3 Streptococcus pneumoniae   426 #> 4 Klebsiella pneumoniae      326  our_data_1st %>%   count(mo_name(bacteria), sort = TRUE) #> # A tibble: 4 × 2 #>   `mo_name(bacteria)`          n #>   <chr>                    <int> #> 1 Escherichia coli          1319 #> 2 Staphylococcus aureus      676 #> 3 Streptococcus pneumoniae   400 #> 4 Klebsiella pneumoniae      317"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"select-and-filter-with-antibiotic-selectors","dir":"Articles","previous_headings":"Analysing the data","what":"Select and filter with antibiotic selectors","title":"How to conduct AMR data analysis","text":"Using -called antibiotic class selectors, can select filter columns based antibiotic class antibiotic results :","code":"our_data_1st %>%   select(date, aminoglycosides()) #> ℹ For aminoglycosides() using column 'GEN' (gentamicin) #> # A tibble: 2,712 × 2 #>    date       GEN   #>    <date>     <sir> #>  1 2012-11-21 S     #>  2 2018-04-03 S     #>  3 2015-12-10 S     #>  4 2015-03-02 S     #>  5 2018-03-31 S     #>  6 2015-10-25 S     #>  7 2019-06-19 S     #>  8 2015-04-27 S     #>  9 2011-06-21 S     #> 10 2014-09-05 S     #> # ℹ 2,702 more rows  our_data_1st %>%   select(bacteria, betalactams()) #> ℹ For betalactams() using columns 'AMX' (amoxicillin) and 'AMC' #>   (amoxicillin/clavulanic acid) #> # A tibble: 2,712 × 3 #>    bacteria     AMX   AMC   #>    <mo>         <sir> <sir> #>  1 B_ESCHR_COLI R     I     #>  2 B_KLBSL_PNMN R     I     #>  3 B_ESCHR_COLI S     I     #>  4 B_ESCHR_COLI S     S     #>  5 B_STPHY_AURS R     S     #>  6 B_ESCHR_COLI R     S     #>  7 B_ESCHR_COLI S     S     #>  8 B_STPHY_AURS S     S     #>  9 B_ESCHR_COLI S     S     #> 10 B_ESCHR_COLI S     S     #> # ℹ 2,702 more rows  our_data_1st %>%   select(bacteria, where(is.sir)) #> # A tibble: 2,712 × 5 #>    bacteria     AMX   AMC   CIP   GEN   #>    <mo>         <sir> <sir> <sir> <sir> #>  1 B_ESCHR_COLI R     I     S     S     #>  2 B_KLBSL_PNMN R     I     S     S     #>  3 B_ESCHR_COLI S     I     S     S     #>  4 B_ESCHR_COLI S     S     S     S     #>  5 B_STPHY_AURS R     S     R     S     #>  6 B_ESCHR_COLI R     S     S     S     #>  7 B_ESCHR_COLI S     S     S     S     #>  8 B_STPHY_AURS S     S     S     S     #>  9 B_ESCHR_COLI S     S     S     S     #> 10 B_ESCHR_COLI S     S     S     S     #> # ℹ 2,702 more rows  # filtering using AB selectors is also possible: our_data_1st %>%   filter(any(aminoglycosides() == \"R\")) #> ℹ For aminoglycosides() using column 'GEN' (gentamicin) #> # A tibble: 1,011 × 9 #>    patient_id hospital date       bacteria     AMX   AMC   CIP   GEN   first #>    <chr>      <chr>    <date>     <mo>         <sir> <sir> <sir> <sir> <lgl> #>  1 J5         A        2017-12-25 B_STRPT_PNMN R     S     S     R     TRUE  #>  2 X1         A        2017-07-04 B_STPHY_AURS R     S     S     R     TRUE  #>  3 B3         A        2016-07-24 B_ESCHR_COLI S     S     S     R     TRUE  #>  4 V7         A        2012-04-03 B_ESCHR_COLI S     S     S     R     TRUE  #>  5 C9         A        2017-03-23 B_ESCHR_COLI S     S     S     R     TRUE  #>  6 R1         A        2018-06-10 B_STPHY_AURS S     S     S     R     TRUE  #>  7 S2         A        2013-07-19 B_STRPT_PNMN S     S     S     R     TRUE  #>  8 P5         A        2019-03-09 B_STPHY_AURS S     S     S     R     TRUE  #>  9 Q8         A        2019-08-10 B_STPHY_AURS S     S     S     R     TRUE  #> 10 K5         A        2013-03-15 B_STRPT_PNMN S     S     S     R     TRUE  #> # ℹ 1,001 more rows  our_data_1st %>%   filter(all(betalactams() == \"R\")) #> ℹ For betalactams() using columns 'AMX' (amoxicillin) and 'AMC' #>   (amoxicillin/clavulanic acid) #> # A tibble: 483 × 9 #>    patient_id hospital date       bacteria     AMX   AMC   CIP   GEN   first #>    <chr>      <chr>    <date>     <mo>         <sir> <sir> <sir> <sir> <lgl> #>  1 M7         A        2013-07-22 B_STRPT_PNMN R     R     S     S     TRUE  #>  2 R10        A        2013-12-20 B_STPHY_AURS R     R     S     S     TRUE  #>  3 R7         A        2015-10-25 B_STPHY_AURS R     R     S     S     TRUE  #>  4 R8         A        2019-10-25 B_STPHY_AURS R     R     S     S     TRUE  #>  5 B6         A        2016-11-20 B_ESCHR_COLI R     R     R     R     TRUE  #>  6 I7         A        2015-08-19 B_ESCHR_COLI R     R     S     S     TRUE  #>  7 N3         A        2014-12-29 B_STRPT_PNMN R     R     R     S     TRUE  #>  8 Q2         A        2019-09-22 B_ESCHR_COLI R     R     S     S     TRUE  #>  9 X7         A        2011-03-20 B_ESCHR_COLI R     R     S     R     TRUE  #> 10 V1         A        2018-08-07 B_STPHY_AURS R     R     S     S     TRUE  #> # ℹ 473 more rows  # even works in base R (since R 3.0): our_data_1st[all(betalactams() == \"R\"), ] #> ℹ For betalactams() using columns 'AMX' (amoxicillin) and 'AMC' #>   (amoxicillin/clavulanic acid) #> # A tibble: 483 × 9 #>    patient_id hospital date       bacteria     AMX   AMC   CIP   GEN   first #>    <chr>      <chr>    <date>     <mo>         <sir> <sir> <sir> <sir> <lgl> #>  1 M7         A        2013-07-22 B_STRPT_PNMN R     R     S     S     TRUE  #>  2 R10        A        2013-12-20 B_STPHY_AURS R     R     S     S     TRUE  #>  3 R7         A        2015-10-25 B_STPHY_AURS R     R     S     S     TRUE  #>  4 R8         A        2019-10-25 B_STPHY_AURS R     R     S     S     TRUE  #>  5 B6         A        2016-11-20 B_ESCHR_COLI R     R     R     R     TRUE  #>  6 I7         A        2015-08-19 B_ESCHR_COLI R     R     S     S     TRUE  #>  7 N3         A        2014-12-29 B_STRPT_PNMN R     R     R     S     TRUE  #>  8 Q2         A        2019-09-22 B_ESCHR_COLI R     R     S     S     TRUE  #>  9 X7         A        2011-03-20 B_ESCHR_COLI R     R     S     R     TRUE  #> 10 V1         A        2018-08-07 B_STPHY_AURS R     R     S     S     TRUE  #> # ℹ 473 more rows"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"generate-antibiograms","dir":"Articles","previous_headings":"Analysing the data","what":"Generate antibiograms","title":"How to conduct AMR data analysis","text":"Since AMR v2.0 (March 2023), easy create different types antibiograms, support 20 different languages. four antibiogram types, proposed Klinker et al. (2021, DOI 10.1177/20499361211011373), supported new antibiogram() function: Traditional Antibiogram (TA) e.g, susceptibility Pseudomonas aeruginosa piperacillin/tazobactam (TZP) Combination Antibiogram (CA) e.g, sdditional susceptibility Pseudomonas aeruginosa TZP + tobramycin versus TZP alone Syndromic Antibiogram (SA) e.g, susceptibility Pseudomonas aeruginosa TZP among respiratory specimens (obtained among ICU patients ) Weighted-Incidence Syndromic Combination Antibiogram (WISCA) e.g, susceptibility Pseudomonas aeruginosa TZP among respiratory specimens (obtained among ICU patients ) male patients age >=65 years heart failure section, show use antibiogram() function create antibiogram types. starters, included example_isolates data set looks like:","code":"example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"traditional-antibiogram","dir":"Articles","previous_headings":"Analysing the data > Generate antibiograms","what":"Traditional Antibiogram","title":"How to conduct AMR data analysis","text":"create traditional antibiogram, simply state antibiotics used. antibiotics argument antibiogram() function supports (combination) previously mentioned antibiotic class selectors: Notice antibiogram() function automatically prints right format using Quarto R Markdown (page), even applies italics taxonomic names (using italicise_taxonomy() internally). also uses language OS either English, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Italian, Japanese, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, Ukrainian. next example, force language Spanish using language argument:","code":"antibiogram(example_isolates,             antibiotics = c(aminoglycosides(), carbapenems())) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) antibiogram(example_isolates,             mo_transform = \"gramstain\",             antibiotics = aminoglycosides(),             ab_transform = \"name\",             language = \"es\") #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"combined-antibiogram","dir":"Articles","previous_headings":"Analysing the data > Generate antibiograms","what":"Combined Antibiogram","title":"How to conduct AMR data analysis","text":"create combined antibiogram, use antibiotic codes names plus + character like :","code":"antibiogram(example_isolates,             antibiotics = c(\"TZP\", \"TZP+TOB\", \"TZP+GEN\"))"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"syndromic-antibiogram","dir":"Articles","previous_headings":"Analysing the data > Generate antibiograms","what":"Syndromic Antibiogram","title":"How to conduct AMR data analysis","text":"create syndromic antibiogram, syndromic_group argument must used. can column data, e.g. ifelse() calculations based certain columns:","code":"antibiogram(example_isolates,             antibiotics = c(aminoglycosides(), carbapenems()),             syndromic_group = \"ward\") #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"weighted-incidence-syndromic-combination-antibiogram-wisca","dir":"Articles","previous_headings":"Analysing the data > Generate antibiograms","what":"Weighted-Incidence Syndromic Combination Antibiogram (WISCA)","title":"How to conduct AMR data analysis","text":"create WISCA, must state combination therapy antibiotics argument (similar Combination Antibiogram), define syndromic group syndromic_group argument (similar Syndromic Antibiogram) cases predefined based clinical demographic characteristics (e.g., endocarditis 75+ females). next example simplification without clinical characteristics, just gives idea WISCA can created:","code":"wisca <- antibiogram(example_isolates,                      antibiotics = c(\"AMC\", \"AMC+CIP\", \"TZP\", \"TZP+TOB\"),                      mo_transform = \"gramstain\",                      minimum = 10, # this should be >= 30, but now just as example                      syndromic_group = ifelse(example_isolates$age >= 65 &                                                 example_isolates$gender == \"M\",                                               \"WISCA Group 1\", \"WISCA Group 2\")) wisca"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"plotting-antibiograms","dir":"Articles","previous_headings":"Analysing the data > Generate antibiograms","what":"Plotting antibiograms","title":"How to conduct AMR data analysis","text":"Antibiograms can plotted using autoplot() ggplot2 packages, since AMR package provides extension function:  calculate antimicrobial resistance sensible way, also correcting results, use resistance() susceptibility() functions.","code":"autoplot(wisca)"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"resistance-percentages","dir":"Articles","previous_headings":"Analysing the data","what":"Resistance percentages","title":"How to conduct AMR data analysis","text":"functions resistance() susceptibility() can used calculate antimicrobial resistance susceptibility. specific analyses, functions proportion_S(), proportion_SI(), proportion_I(), proportion_IR() proportion_R() can used determine proportion specific antimicrobial outcome. functions contain minimum argument, denoting minimum required number test results returning value. functions otherwise return NA. default minimum = 30, following CLSI M39-A4 guideline applying microbial epidemiology. per EUCAST guideline 2019, calculate resistance proportion R (proportion_R(), equal resistance()) susceptibility proportion S (proportion_SI(), equal susceptibility()). functions can used : can used conjunction group_by() summarise(), dplyr package: Author: Dr. Matthijs Berends, 26th Feb 2023","code":"our_data_1st %>% resistance(AMX) #> [1] 0.4288348 our_data_1st %>%   group_by(hospital) %>%   summarise(amoxicillin = resistance(AMX)) #> # A tibble: 3 × 2 #>   hospital amoxicillin #>   <chr>          <dbl> #> 1 A              0.342 #> 2 B              0.564 #> 3 C              0.372"},{"path":"https://msberends.github.io/AMR/articles/EUCAST.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to apply EUCAST rules","text":"EUCAST rules? European Committee Antimicrobial Susceptibility Testing (EUCAST) states website: EUCAST expert rules tabulated collection expert knowledge intrinsic resistances, exceptional resistance phenotypes interpretive rules may applied antimicrobial susceptibility testing order reduce errors make appropriate recommendations reporting particular resistances. Europe, lot medical microbiological laboratories already apply rules (Brown et al., 2015). package features latest insights intrinsic resistance unusual phenotypes (v3.1, 2016). Moreover, eucast_rules() function use purpose can also apply additional rules, like forcing ampicillin = R isolates amoxicillin/clavulanic acid = R.","code":""},{"path":"https://msberends.github.io/AMR/articles/EUCAST.html","id":"examples","dir":"Articles","previous_headings":"","what":"Examples","title":"How to apply EUCAST rules","text":"rules can used discard impossible bug-drug combinations data. example, Klebsiella produces beta-lactamase prevents ampicillin (amoxicillin) working . words, practically every strain Klebsiella resistant ampicillin. Sometimes, laboratory data can still contain strains ampicillin susceptible ampicillin. antibiogram available identification available, antibiogram re-interpreted based identification (namely, Klebsiella). EUCAST expert rules solve , can applied using eucast_rules(): convenient function mo_is_intrinsic_resistant() uses guideline, allows check one specific microorganisms antibiotics: EUCAST rules can used correction, can also used filling known resistance susceptibility based results antimicrobials drugs. process called interpretive reading, basically form imputation, part eucast_rules() function well:","code":"oops <- data.frame(   mo = c(     \"Klebsiella\",     \"Escherichia\"   ),   ampicillin = \"S\" ) oops #>            mo ampicillin #> 1  Klebsiella          S #> 2 Escherichia          S  eucast_rules(oops, info = FALSE) #>            mo ampicillin #> 1  Klebsiella          R #> 2 Escherichia          S mo_is_intrinsic_resistant(   c(\"Klebsiella\", \"Escherichia\"),   \"ampicillin\" ) #> [1]  TRUE FALSE  mo_is_intrinsic_resistant(   \"Klebsiella\",   c(\"ampicillin\", \"kanamycin\") ) #> [1]  TRUE FALSE data <- data.frame(   mo = c(     \"Staphylococcus aureus\",     \"Enterococcus faecalis\",     \"Escherichia coli\",     \"Klebsiella pneumoniae\",     \"Pseudomonas aeruginosa\"   ),   VAN = \"-\", # Vancomycin   AMX = \"-\", # Amoxicillin   COL = \"-\", # Colistin   CAZ = \"-\", # Ceftazidime   CXM = \"-\", # Cefuroxime   PEN = \"S\", # Benzylenicillin   FOX = \"S\", # Cefoxitin   stringsAsFactors = FALSE ) data eucast_rules(data)"},{"path":"https://msberends.github.io/AMR/articles/MDR.html","id":"type-of-input","dir":"Articles","previous_headings":"","what":"Type of input","title":"How to determine multi-drug resistance (MDR)","text":"mdro() function takes data set input, regular data.frame. tries automatically determine right columns info isolates, name species columns results antimicrobial agents. See help page info set right settings data command ?mdro. WHONET data (data), settings automatically set correctly.","code":""},{"path":"https://msberends.github.io/AMR/articles/MDR.html","id":"guidelines","dir":"Articles","previous_headings":"","what":"Guidelines","title":"How to determine multi-drug resistance (MDR)","text":"mdro() function support multiple guidelines. can select guideline guideline parameter. Currently supported guidelines (case-insensitive): guideline = \"CMI2012\" (default) Magiorakos AP, Srinivasan et al. “Multidrug-resistant, extensively drug-resistant pandrug-resistant bacteria: international expert proposal interim standard definitions acquired resistance.” Clinical Microbiology Infection (2012) (link) guideline = \"EUCAST3.2\" (simply guideline = \"EUCAST\") European international guideline - EUCAST Expert Rules Version 3.2 “Intrinsic Resistance Unusual Phenotypes” (link) guideline = \"EUCAST3.1\" European international guideline - EUCAST Expert Rules Version 3.1 “Intrinsic Resistance Exceptional Phenotypes Tables” (link) guideline = \"TB\" international guideline multi-drug resistant tuberculosis - World Health Organization “Companion handbook guidelines programmatic management drug-resistant tuberculosis” (link) guideline = \"MRGN\" German national guideline - Mueller et al. (2015) Antimicrobial Resistance Infection Control 4:7. DOI: 10.1186/s13756-015-0047-6 guideline = \"BRMO\" Dutch national guideline - Rijksinstituut voor Volksgezondheid en Milieu “WIP-richtlijn BRMO (Bijzonder Resistente Micro-Organismen) (ZKH)” (link) Please suggest (country-specific) guidelines letting us know: https://github.com/msberends/AMR/issues/new.","code":""},{"path":"https://msberends.github.io/AMR/articles/MDR.html","id":"custom-guidelines","dir":"Articles","previous_headings":"Guidelines","what":"Custom Guidelines","title":"How to determine multi-drug resistance (MDR)","text":"can also use custom guideline. Custom guidelines can set custom_mdro_guideline() function. great importance custom rules determine MDROs hospital, e.g., rules dependent ward, state contact isolation variables data. familiar case_when() dplyr package, recognise input method set rules. Rules must set using R considers ‘formula notation’: row/isolate matches first rule, value first ~ (case ‘Elderly Type ’) set MDRO value. Otherwise, second rule tried . maximum number rules unlimited. can print rules set console overview. Colours help reading console supports colours. outcome function can used guideline argument mdro() function: rules set (custom object case) exported shared file location using saveRDS() collaborate multiple users. custom rules set imported using readRDS().","code":"custom <- custom_mdro_guideline(   CIP == \"R\" & age > 60 ~ \"Elderly Type A\",   ERY == \"R\" & age > 60 ~ \"Elderly Type B\" ) custom #> A set of custom MDRO rules: #>   1. If CIP is \"R\" and age is higher than 60 then: Elderly Type A #>   2. If ERY is \"R\" and age is higher than 60 then: Elderly Type B #>   3. Otherwise: Negative #>  #> Unmatched rows will return NA. #> Results will be of class 'factor', with ordered levels: Negative < Elderly Type A < Elderly Type B x <- mdro(example_isolates, guideline = custom) table(x) #> x #>       Negative Elderly Type A Elderly Type B  #>           1070            198            732"},{"path":"https://msberends.github.io/AMR/articles/MDR.html","id":"examples","dir":"Articles","previous_headings":"","what":"Examples","title":"How to determine multi-drug resistance (MDR)","text":"mdro() function always returns ordered factor predefined guidelines. example, output default guideline Magiorakos et al. returns factor levels ‘Negative’, ‘MDR’, ‘XDR’ ‘PDR’ order. next example uses example_isolates data set. data set included package contains full antibiograms 2,000 microbial isolates. reflects reality can used practise AMR data analysis. test MDR/XDR/PDR guideline data set, get: Frequency table Class: factor > ordered (numeric) Length: 2,000 Levels: 4: Negative < Multi-drug-resistant (MDR) < Extensively drug-resistant … Available: 1,729 (86.45%, NA: 271 = 13.55%) Unique: 2 another example, create data set determine multi-drug resistant TB: column names automatically verified valid drug names codes, worked exactly way: data set now looks like : can now add interpretation MDR-TB data set. can use: shortcut mdr_tb(): Create frequency table results: Frequency table Class: factor > ordered (numeric) Length: 5,000 Levels: 5: Negative < Mono-resistant < Poly-resistant < Multi-drug-resistant <… Available: 5,000 (100%, NA: 0 = 0%) Unique: 5","code":"library(dplyr) # to support pipes: %>% library(cleaner) # to create frequency tables example_isolates %>%   mdro() %>%   freq() # show frequency table of the result #> Warning: in mdro(): NA introduced for isolates where the available percentage of #> antimicrobial classes was below 50% (set with pct_required_classes) # random_sir() is a helper function to generate # a random vector with values S, I and R my_TB_data <- data.frame(   rifampicin = random_sir(5000),   isoniazid = random_sir(5000),   gatifloxacin = random_sir(5000),   ethambutol = random_sir(5000),   pyrazinamide = random_sir(5000),   moxifloxacin = random_sir(5000),   kanamycin = random_sir(5000) ) my_TB_data <- data.frame(   RIF = random_sir(5000),   INH = random_sir(5000),   GAT = random_sir(5000),   ETH = random_sir(5000),   PZA = random_sir(5000),   MFX = random_sir(5000),   KAN = random_sir(5000) ) head(my_TB_data) #>   rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin #> 1          S         R            I          I            S            I #> 2          I         I            S          S            S            S #> 3          S         I            S          R            I            R #> 4          S         R            I          S            I            R #> 5          S         R            R          I            R            S #> 6          S         R            R          S            S            S #>   kanamycin #> 1         R #> 2         I #> 3         I #> 4         I #> 5         S #> 6         R mdro(my_TB_data, guideline = \"TB\") my_TB_data$mdr <- mdr_tb(my_TB_data) #> ℹ No column found as input for col_mo, assuming all rows contain #>   Mycobacterium tuberculosis. freq(my_TB_data$mdr)"},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/PCA.html","id":"transforming","dir":"Articles","previous_headings":"","what":"Transforming","title":"How to conduct principal component analysis (PCA) for AMR","text":"PCA, need transform AMR data first. example_isolates data set package looks like: Now transform data set resistance percentages per taxonomic order genus:","code":"library(AMR) library(dplyr) glimpse(example_isolates) #> Rows: 2,000 #> Columns: 46 #> $ date    <date> 2002-01-02, 2002-01-03, 2002-01-07, 2002-01-07, 2002-01-13, 2… #> $ patient <chr> \"A77334\", \"A77334\", \"067927\", \"067927\", \"067927\", \"067927\", \"4… #> $ age     <dbl> 65, 65, 45, 45, 45, 45, 78, 78, 45, 79, 67, 67, 71, 71, 75, 50… #> $ gender  <chr> \"F\", \"F\", \"F\", \"F\", \"F\", \"F\", \"M\", \"M\", \"F\", \"F\", \"M\", \"M\", \"M… #> $ ward    <chr> \"Clinical\", \"Clinical\", \"ICU\", \"ICU\", \"ICU\", \"ICU\", \"Clinical\"… #> $ mo      <mo> \"B_ESCHR_COLI\", \"B_ESCHR_COLI\", \"B_STPHY_EPDR\", \"B_STPHY_EPDR\",… #> $ PEN     <sir> R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, S,… #> $ OXA     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ FLC     <sir> NA, NA, R, R, R, R, S, S, R, S, S, S, NA, NA, NA, NA, NA, R, R… #> $ AMX     <sir> NA, NA, NA, NA, NA, NA, R, R, NA, NA, NA, NA, NA, NA, R, NA, N… #> $ AMC     <sir> I, I, NA, NA, NA, NA, S, S, NA, NA, S, S, I, I, R, I, I, NA, N… #> $ AMP     <sir> NA, NA, NA, NA, NA, NA, R, R, NA, NA, NA, NA, NA, NA, R, NA, N… #> $ TZP     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ CZO     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R, NA,… #> $ FEP     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ CXM     <sir> I, I, R, R, R, R, S, S, R, S, S, S, S, S, NA, S, S, R, R, S, S… #> $ FOX     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R, NA,… #> $ CTX     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, S, S, NA, S, S… #> $ CAZ     <sir> NA, NA, R, R, R, R, R, R, R, R, R, R, NA, NA, NA, S, S, R, R, … #> $ CRO     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, S, S, NA, S, S… #> $ GEN     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ TOB     <sir> NA, NA, NA, NA, NA, NA, S, S, NA, NA, NA, NA, S, S, NA, NA, NA… #> $ AMK     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ KAN     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ TMP     <sir> R, R, S, S, R, R, R, R, S, S, NA, NA, S, S, S, S, S, R, R, R, … #> $ SXT     <sir> R, R, S, S, NA, NA, NA, NA, S, S, NA, NA, S, S, S, S, S, NA, N… #> $ NIT     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R,… #> $ FOS     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ LNZ     <sir> R, R, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R, R, R, R, R, N… #> $ CIP     <sir> NA, NA, NA, NA, NA, NA, NA, NA, S, S, NA, NA, NA, NA, NA, S, S… #> $ MFX     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ VAN     <sir> R, R, S, S, S, S, S, S, S, S, NA, NA, R, R, R, R, R, S, S, S, … #> $ TEC     <sir> R, R, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R, R, R, R, R, N… #> $ TCY     <sir> R, R, S, S, S, S, S, S, S, I, S, S, NA, NA, I, R, R, S, I, R, … #> $ TGC     <sir> NA, NA, S, S, S, S, S, S, S, NA, S, S, NA, NA, NA, R, R, S, NA… #> $ DOX     <sir> NA, NA, S, S, S, S, S, S, S, NA, S, S, NA, NA, NA, R, R, S, NA… #> $ ERY     <sir> R, R, R, R, R, R, S, S, R, S, S, S, R, R, R, R, R, R, R, R, S,… #> $ CLI     <sir> R, R, NA, NA, NA, R, NA, NA, NA, NA, NA, NA, R, R, R, R, R, NA… #> $ AZM     <sir> R, R, R, R, R, R, S, S, R, S, S, S, R, R, R, R, R, R, R, R, S,… #> $ IPM     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, S, S, NA, S, S… #> $ MEM     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ MTR     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ CHL     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ COL     <sir> NA, NA, R, R, R, R, R, R, R, R, R, R, NA, NA, NA, R, R, R, R, … #> $ MUP     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ RIF     <sir> R, R, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R, R, R, R, R, N… resistance_data <- example_isolates %>%   group_by(     order = mo_order(mo), # group on anything, like order     genus = mo_genus(mo)   ) %>% #  and genus as we do here   summarise_if(is.sir, resistance) %>% # then get resistance of all drugs   select(     order, genus, AMC, CXM, CTX,     CAZ, GEN, TOB, TMP, SXT   ) # and select only relevant columns  head(resistance_data) #> # A tibble: 6 × 10 #> # Groups:   order [5] #>   order             genus          AMC   CXM   CTX   CAZ   GEN   TOB   TMP   SXT #>   <chr>             <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 (unknown order)   (unknown ge…    NA    NA    NA    NA    NA    NA    NA    NA #> 2 Actinomycetales   Schaalia        NA    NA    NA    NA    NA    NA    NA    NA #> 3 Bacteroidales     Bacteroides     NA    NA    NA    NA    NA    NA    NA    NA #> 4 Campylobacterales Campylobact…    NA    NA    NA    NA    NA    NA    NA    NA #> 5 Caryophanales     Gemella         NA    NA    NA    NA    NA    NA    NA    NA #> 6 Caryophanales     Listeria        NA    NA    NA    NA    NA    NA    NA    NA"},{"path":"https://msberends.github.io/AMR/articles/PCA.html","id":"perform-principal-component-analysis","dir":"Articles","previous_headings":"","what":"Perform principal component analysis","title":"How to conduct principal component analysis (PCA) for AMR","text":"new pca() function automatically filter rows contain numeric values selected variables, now need : result can reviewed good old summary() function: Good news. first two components explain total 93.3% variance (see PC1 PC2 values Proportion Variance. can create -called biplot base R biplot() function, see antimicrobial resistance per drug explain difference per microorganism.","code":"pca_result <- pca(resistance_data) #> ℹ Columns selected for PCA: \"AMC\", \"CAZ\", \"CTX\", \"CXM\", \"GEN\", \"SXT\", #>   \"TMP\", and \"TOB\". Total observations available: 7. summary(pca_result) #> Groups (n=4, named as 'order'): #> [1] \"Caryophanales\"    \"Enterobacterales\" \"Lactobacillales\"  \"Pseudomonadales\" #> Importance of components: #>                           PC1    PC2    PC3     PC4     PC5     PC6       PC7 #> Standard deviation     2.1539 1.6807 0.6138 0.33879 0.20808 0.03140 1.232e-16 #> Proportion of Variance 0.5799 0.3531 0.0471 0.01435 0.00541 0.00012 0.000e+00 #> Cumulative Proportion  0.5799 0.9330 0.9801 0.99446 0.99988 1.00000 1.000e+00 #> Groups (n=4, named as 'order'): #> [1] \"Caryophanales\"    \"Enterobacterales\" \"Lactobacillales\"  \"Pseudomonadales\""},{"path":"https://msberends.github.io/AMR/articles/PCA.html","id":"plotting-the-results","dir":"Articles","previous_headings":"","what":"Plotting the results","title":"How to conduct principal component analysis (PCA) for AMR","text":"can’t see explanation points. Perhaps works better new ggplot_pca() function, automatically adds right labels even groups:  can also print ellipse per group, edit appearance:","code":"biplot(pca_result) ggplot_pca(pca_result) ggplot_pca(pca_result, ellipse = TRUE) +   ggplot2::labs(title = \"An AMR/PCA biplot!\")"},{"path":"https://msberends.github.io/AMR/articles/WHONET.html","id":"import-of-data","dir":"Articles","previous_headings":"","what":"Import of data","title":"How to work with WHONET data","text":"tutorial assumes already imported WHONET data e.g. readxl package. RStudio, can done using menu button ‘Import Dataset’ tab ‘Environment’. Choose option ‘Excel’ select exported file. Make sure date fields imported correctly. example syntax look like : package comes example data set WHONET. use analysis.","code":"library(readxl) data <- read_excel(path = \"path/to/your/file.xlsx\")"},{"path":"https://msberends.github.io/AMR/articles/WHONET.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to work with WHONET data","text":"First, load relevant packages yet . use tidyverse analyses. . don’t know yet, suggest read website: https://www.tidyverse.org/. transform variables simplify automate analysis: Microorganisms transformed microorganism codes (called mo) using Catalogue Life reference data set, contains ~70,000 microorganisms taxonomic kingdoms Bacteria, Fungi Protozoa. tranformation .mo(). function also recognises almost WHONET abbreviations microorganisms. Antimicrobial results interpretations clean valid. words, contain values \"S\", \"\" \"R\". exactly .sir() function . errors warnings, values transformed succesfully. also created package dedicated data cleaning checking, called cleaner package. freq() function can used create frequency tables. let’s check data, couple frequency tables: Frequency table Class: character Length: 500 Available: 500 (100%, NA: 0 = 0%) Unique: 38 Shortest: 11 Longest: 40 (omitted 28 entries, n = 57 [11.4%]) Frequency table Class: factor > ordered > sir (numeric) Length: 500 Levels: 3: S < < R Available: 481 (96.2%, NA: 19 = 3.8%) Unique: 3 Drug: Amoxicillin/clavulanic acid (AMC, J01CR02) Drug group: Beta-lactams/penicillins %SI: 78.59%","code":"library(dplyr) # part of tidyverse library(ggplot2) # part of tidyverse library(AMR) # this package library(cleaner) # to create frequency tables # transform variables data <- WHONET %>%   # get microbial ID based on given organism   mutate(mo = as.mo(Organism)) %>%   # transform everything from \"AMP_ND10\" to \"CIP_EE\" to the new `sir` class   mutate_at(vars(AMP_ND10:CIP_EE), as.sir) # our newly created `mo` variable, put in the mo_name() function data %>% freq(mo_name(mo), nmax = 10) # our transformed antibiotic columns # amoxicillin/clavulanic acid (J01CR02) as an example data %>% freq(AMC_ND2)"},{"path":"https://msberends.github.io/AMR/articles/WHONET.html","id":"a-first-glimpse-at-results","dir":"Articles","previous_headings":"","what":"A first glimpse at results","title":"How to work with WHONET data","text":"easy ggplot already give lot information, using included ggplot_sir() function:","code":"data %>%   group_by(Country) %>%   select(Country, AMP_ND2, AMC_ED20, CAZ_ED10, CIP_ED5) %>%   ggplot_sir(translate_ab = \"ab\", facet = \"Country\", datalabels = FALSE)"},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"microorganisms-full-microbial-taxonomy","dir":"Articles","previous_headings":"","what":"microorganisms: Full Microbial Taxonomy","title":"Data sets for download / own use","text":"data set 52 171 rows 23 columns, containing following column names:mo, fullname, status, kingdom, phylum, class, order, family, genus, species, subspecies, rank, ref, oxygen_tolerance, source, lpsn, lpsn_parent, lpsn_renamed_to, gbif, gbif_parent, gbif_renamed_to, prevalence, snomed. data set R available microorganisms, load AMR package. last updated 14 July 2023 08:49:06 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (1.2 MB) Download tab-separated text file (11.7 MB) Download Microsoft Excel workbook (5.2 MB) Download Apache Feather file (5.5 MB) Download Apache Parquet file (2.6 MB) Download SAS transport (XPT) file (48.6 MB) Download IBM SPSS Statistics data file (17.8 MB) Download Stata DTA file (48.6 MB) NOTE: exported files SAS, SPSS Stata contain first 50 SNOMED codes per record, file size otherwise exceed 100 MB; file size limit GitHub. file structures compression techniques inefficient. Advice? Use R instead. ’s free much better many ways. tab-separated text file Microsoft Excel workbook contain SNOMED codes comma separated values.","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source","dir":"Articles","previous_headings":"microorganisms: Full Microbial Taxonomy","what":"Source","title":"Data sets for download / own use","text":"data set contains full microbial taxonomy five kingdoms List Prokaryotic names Standing Nomenclature (LPSN) Global Biodiversity Information Facility (GBIF): Parte, AC et al. (2020). List Prokaryotic names Standing Nomenclature (LPSN) moves DSMZ. International Journal Systematic Evolutionary Microbiology, 70, 5607-5612; . Accessed https://lpsn.dsmz.de December 11th, 2022. GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset . Accessed https://www.gbif.org January 8th, 2024. Public Health Information Network Vocabulary Access Distribution System (PHIN VADS). US Edition SNOMED CT 1 September 2020. Value Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: https://phinvads.cdc.gov","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"example-content","dir":"Articles","previous_headings":"microorganisms: Full Microbial Taxonomy","what":"Example content","title":"Data sets for download / own use","text":"Included (sub)species per taxonomic kingdom: Example rows filtering genus Escherichia:","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"antibiotics-antibiotic-antifungal-drugs","dir":"Articles","previous_headings":"","what":"antibiotics: Antibiotic (+Antifungal) Drugs","title":"Data sets for download / own use","text":"data set 483 rows 14 columns, containing following column names:ab, cid, name, group, atc, atc_group1, atc_group2, abbreviations, synonyms, oral_ddd, oral_units, iv_ddd, iv_units, loinc. data set R available antibiotics, load AMR package. last updated 24 February 2024 14:16:52 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (44 kB) Download tab-separated text file (0.1 MB) Download Microsoft Excel workbook (73 kB) Download Apache Feather file (0.1 MB) Download Apache Parquet file (0.1 MB) Download SAS transport (XPT) file (1.5 MB) Download IBM SPSS Statistics data file (0.4 MB) Download Stata DTA file (0.5 MB) tab-separated text file Microsoft Excel workbook, SAS, SPSS Stata files contain ATC codes, common abbreviations, trade names LOINC codes comma separated values.","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-1","dir":"Articles","previous_headings":"antibiotics: Antibiotic (+Antifungal) Drugs","what":"Source","title":"Data sets for download / own use","text":"data set contains EARS-Net ATC codes gathered WHONET, compound IDs PubChem. also contains brand names (synonyms) found PubChem Defined Daily Doses (DDDs) oral parenteral administration. ATC/DDD index Collaborating Centre Drug Statistics Methodology (note: may used commercial purposes, freely available CC website personal use) PubChem US National Library Medicine WHONET software 2019 LOINC (Logical Observation Identifiers Names Codes)","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"antivirals-antiviral-drugs","dir":"Articles","previous_headings":"","what":"antivirals: Antiviral Drugs","title":"Data sets for download / own use","text":"data set 120 rows 11 columns, containing following column names:av, name, atc, cid, atc_group, synonyms, oral_ddd, oral_units, iv_ddd, iv_units, loinc. data set R available antivirals, load AMR package. last updated 20 October 2023 12:51:48 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (6 kB) Download tab-separated text file (17 kB) Download Microsoft Excel workbook (16 kB) Download Apache Feather file (16 kB) Download Apache Parquet file (13 kB) Download SAS transport (XPT) file (73 kB) Download IBM SPSS Statistics data file (32 kB) Download Stata DTA file (78 kB) tab-separated text file Microsoft Excel workbook, SAS, SPSS Stata files contain trade names LOINC codes comma separated values.","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-2","dir":"Articles","previous_headings":"antivirals: Antiviral Drugs","what":"Source","title":"Data sets for download / own use","text":"data set contains ATC codes gathered compound IDs PubChem. also contains brand names (synonyms) found PubChem Defined Daily Doses (DDDs) oral parenteral administration. ATC/DDD index Collaborating Centre Drug Statistics Methodology (note: may used commercial purposes, freely available CC website personal use) PubChem US National Library Medicine LOINC (Logical Observation Identifiers Names Codes)","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"clinical_breakpoints-interpretation-from-mic-values-disk-diameters-to-sir","dir":"Articles","previous_headings":"","what":"clinical_breakpoints: Interpretation from MIC values & disk diameters to SIR","title":"Data sets for download / own use","text":"data set 29 883 rows 13 columns, containing following column names:guideline, type, host, method, site, mo, rank_index, ab, ref_tbl, disk_dose, breakpoint_S, breakpoint_R, uti. data set R available clinical_breakpoints, load AMR package. last updated 24 February 2024 14:16:52 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (61 kB) Download tab-separated text file (2.5 MB) Download Microsoft Excel workbook (1.4 MB) Download Apache Feather file (1.3 MB) Download Apache Parquet file (91 kB) Download SAS transport (XPT) file (8.2 MB) Download IBM SPSS Statistics data file (4.9 MB) Download Stata DTA file (8.1 MB)","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-3","dir":"Articles","previous_headings":"clinical_breakpoints: Interpretation from MIC values & disk diameters to SIR","what":"Source","title":"Data sets for download / own use","text":"data set contains interpretation rules MIC values disk diffusion diameters. Included guidelines CLSI (2011-2023) EUCAST (2011-2023). Clinical breakpoints package validated imported WHONET, free desktop Windows application developed supported Collaborating Centre Surveillance Antimicrobial Resistance. can read website. developers WHONET AMR package contact sharing work. highly appreciate development WHONET software. CEO CLSI chairman EUCAST endorsed work public use AMR package (consequently use breakpoints) June 2023, future development distributing clinical breakpoints discussed meeting CLSI, EUCAST, , developers WHONET AMR package. NOTE: AMR package (WHONET software well) contains internal methods apply guidelines, rather complex. example, breakpoints must applied certain species groups (case package available microorganisms.groups data set). important considered using breakpoints use.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"intrinsic_resistant-intrinsic-bacterial-resistance","dir":"Articles","previous_headings":"","what":"intrinsic_resistant: Intrinsic Bacterial Resistance","title":"Data sets for download / own use","text":"data set 134 634 rows 2 columns, containing following column names:mo ab. data set R available intrinsic_resistant, load AMR package. last updated 16 December 2022 15:10:43 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (78 kB) Download tab-separated text file (5.1 MB) Download Microsoft Excel workbook (1.3 MB) Download Apache Feather file (1.2 MB) Download Apache Parquet file (0.2 MB) Download SAS transport (XPT) file (9.5 MB) Download IBM SPSS Statistics data file (7.4 MB) Download Stata DTA file (9.5 MB)","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-4","dir":"Articles","previous_headings":"intrinsic_resistant: Intrinsic Bacterial Resistance","what":"Source","title":"Data sets for download / own use","text":"data set contains defined intrinsic resistance EUCAST bug-drug combinations, based ‘EUCAST Expert Rules’ ‘EUCAST Intrinsic Resistance Unusual Phenotypes’ v3.3 (2021).","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"example-content-4","dir":"Articles","previous_headings":"intrinsic_resistant: Intrinsic Bacterial Resistance","what":"Example content","title":"Data sets for download / own use","text":"Example rows filtering Enterobacter cloacae:","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"dosage-dosage-guidelines-from-eucast","dir":"Articles","previous_headings":"","what":"dosage: Dosage Guidelines from EUCAST","title":"Data sets for download / own use","text":"data set 503 rows 9 columns, containing following column names:ab, name, type, dose, dose_times, administration, notes, original_txt, eucast_version. data set R available dosage, load AMR package. last updated 22 June 2023 13:10:59 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (3 kB) Download tab-separated text file (43 kB) Download Microsoft Excel workbook (25 kB) Download Apache Feather file (21 kB) Download Apache Parquet file (9 kB) Download SAS transport (XPT) file (0.1 MB) Download IBM SPSS Statistics data file (64 kB) Download Stata DTA file (0.1 MB)","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-5","dir":"Articles","previous_headings":"dosage: Dosage Guidelines from EUCAST","what":"Source","title":"Data sets for download / own use","text":"EUCAST breakpoints used package based dosages data set. Currently included dosages data set meant :  (), ‘EUCAST Clinical Breakpoint Tables’ v11.0 (2021), ‘EUCAST Clinical Breakpoint Tables’ v12.0 (2022).","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"example_isolates-example-data-for-practice","dir":"Articles","previous_headings":"","what":"example_isolates: Example Data for Practice","title":"Data sets for download / own use","text":"data set 2 000 rows 46 columns, containing following column names:date, patient, age, gender, ward, mo, PEN, OXA, FLC, AMX, AMC, AMP, TZP, CZO, FEP, CXM, FOX, CTX, CAZ, CRO, GEN, TOB, AMK, KAN, TMP, SXT, NIT, FOS, LNZ, CIP, MFX, VAN, TEC, TCY, TGC, DOX, ERY, CLI, AZM, IPM, MEM, MTR, CHL, COL, MUP, RIF. data set R available example_isolates, load AMR package. last updated 21 January 2023 22:47:20 UTC. Find info structure data set .","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-6","dir":"Articles","previous_headings":"example_isolates: Example Data for Practice","what":"Source","title":"Data sets for download / own use","text":"data set contains randomised fictitious data, reflects reality can used practise AMR data analysis.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"example_isolates_unclean-example-data-for-practice","dir":"Articles","previous_headings":"","what":"example_isolates_unclean: Example Data for Practice","title":"Data sets for download / own use","text":"data set 3 000 rows 8 columns, containing following column names:patient_id, hospital, date, bacteria, AMX, AMC, CIP, GEN. data set R available example_isolates_unclean, load AMR package. last updated 27 August 2022 18:49:37 UTC. Find info structure data set .","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-7","dir":"Articles","previous_headings":"example_isolates_unclean: Example Data for Practice","what":"Source","title":"Data sets for download / own use","text":"data set contains randomised fictitious data, reflects reality can used practise AMR data analysis.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"microorganisms-groups-species-groups-and-microbiological-complexes","dir":"Articles","previous_headings":"","what":"microorganisms.groups: Species Groups and Microbiological Complexes","title":"Data sets for download / own use","text":"data set 521 rows 4 columns, containing following column names:mo_group, mo, mo_group_name, mo_name. data set R available microorganisms.groups, load AMR package. last updated 14 July 2023 08:49:06 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (6 kB) Download tab-separated text file (49 kB) Download Microsoft Excel workbook (20 kB) Download Apache Feather file (19 kB) Download Apache Parquet file (13 kB) Download SAS transport (XPT) file (0 kB) Download IBM SPSS Statistics data file (64 kB) Download Stata DTA file (81 kB)","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-8","dir":"Articles","previous_headings":"microorganisms.groups: Species Groups and Microbiological Complexes","what":"Source","title":"Data sets for download / own use","text":"data set contains species groups microbiological complexes, used clinical_breakpoints data set.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"microorganisms-codes-common-laboratory-codes","dir":"Articles","previous_headings":"","what":"microorganisms.codes: Common Laboratory Codes","title":"Data sets for download / own use","text":"data set 4 957 rows 2 columns, containing following column names:code mo. data set R available microorganisms.codes, load AMR package. last updated 8 July 2023 15:30:05 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (22 kB) Download tab-separated text file (0.1 MB) Download Microsoft Excel workbook (91 kB) Download Apache Feather file (85 kB) Download Apache Parquet file (57 kB) Download SAS transport (XPT) file (0 kB) Download IBM SPSS Statistics data file (0.1 MB) Download Stata DTA file (0.1 MB)","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-9","dir":"Articles","previous_headings":"microorganisms.codes: Common Laboratory Codes","what":"Source","title":"Data sets for download / own use","text":"data set contains commonly used codes microorganisms, laboratory systems WHONET.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/resistance_predict.html","id":"needed-r-packages","dir":"Articles","previous_headings":"","what":"Needed R packages","title":"How to predict antimicrobial resistance","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. AMR package depends packages even extends use functions.","code":"library(dplyr) library(ggplot2) library(AMR)  # (if not yet installed, install with:) # install.packages(c(\"tidyverse\", \"AMR\"))"},{"path":"https://msberends.github.io/AMR/articles/resistance_predict.html","id":"prediction-analysis","dir":"Articles","previous_headings":"","what":"Prediction analysis","title":"How to predict antimicrobial resistance","text":"package contains function resistance_predict(), takes input functions AMR data analysis. Based date column, calculates cases per year uses regression model predict antimicrobial resistance. basically easy : function look date column col_date set. running commands, summary regression model printed unless using resistance_predict(..., info = FALSE). text printed summary - actual result (output) function data.frame containing year: number observations, actual observed resistance, estimated resistance standard error estimation: function plot available base R, can extended packages depend output based type input. extended function cope resistance predictions:  fastest way plot result. automatically adds right axes, error bars, titles, number available observations type model. also support ggplot2 package custom function ggplot_sir_predict() create appealing plots:","code":"# resistance prediction of piperacillin/tazobactam (TZP): resistance_predict(tbl = example_isolates, col_date = \"date\", col_ab = \"TZP\", model = \"binomial\")  # or: example_isolates %>%   resistance_predict(     col_ab = \"TZP\",     model = \"binomial\"   )  # to bind it to object 'predict_TZP' for example: predict_TZP <- example_isolates %>%   resistance_predict(     col_ab = \"TZP\",     model = \"binomial\"   ) predict_TZP #> # A tibble: 33 × 7 #>     year  value se_min se_max observations observed estimated #>  * <dbl>  <dbl>  <dbl>  <dbl>        <int>    <dbl>     <dbl> #>  1  2002 0.2        NA     NA           15   0.2       0.0562 #>  2  2003 0.0625     NA     NA           32   0.0625    0.0616 #>  3  2004 0.0854     NA     NA           82   0.0854    0.0676 #>  4  2005 0.05       NA     NA           60   0.05      0.0741 #>  5  2006 0.0508     NA     NA           59   0.0508    0.0812 #>  6  2007 0.121      NA     NA           66   0.121     0.0889 #>  7  2008 0.0417     NA     NA           72   0.0417    0.0972 #>  8  2009 0.0164     NA     NA           61   0.0164    0.106  #>  9  2010 0.0566     NA     NA           53   0.0566    0.116  #> 10  2011 0.183      NA     NA           93   0.183     0.127  #> # ℹ 23 more rows plot(predict_TZP) ggplot_sir_predict(predict_TZP) # choose for error bars instead of a ribbon ggplot_sir_predict(predict_TZP, ribbon = FALSE)"},{"path":"https://msberends.github.io/AMR/articles/resistance_predict.html","id":"choosing-the-right-model","dir":"Articles","previous_headings":"Prediction analysis","what":"Choosing the right model","title":"How to predict antimicrobial resistance","text":"Resistance easily predicted; look vancomycin resistance Gram-positive bacteria, spread (.e. standard error) enormous:  Vancomycin resistance 100% ten years, might remain low. can define model model parameter. model chosen generalised linear regression model using binomial distribution, assuming period zero resistance followed period increasing resistance leading slowly resistance. Valid values : vancomycin resistance Gram-positive bacteria, linear model might appropriate:  model also available object, attribute:","code":"example_isolates %>%   filter(mo_gramstain(mo, language = NULL) == \"Gram-positive\") %>%   resistance_predict(col_ab = \"VAN\", year_min = 2010, info = FALSE, model = \"binomial\") %>%   ggplot_sir_predict() example_isolates %>%   filter(mo_gramstain(mo, language = NULL) == \"Gram-positive\") %>%   resistance_predict(col_ab = \"VAN\", year_min = 2010, info = FALSE, model = \"linear\") %>%   ggplot_sir_predict() model <- attributes(predict_TZP)$model  summary(model)$family #>  #> Family: binomial  #> Link function: logit  summary(model)$coefficients #>                  Estimate  Std. Error   z value     Pr(>|z|) #> (Intercept) -200.67944891 46.17315349 -4.346237 1.384932e-05 #> year           0.09883005  0.02295317  4.305725 1.664395e-05"},{"path":"https://msberends.github.io/AMR/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Matthijs S. Berends. Author, maintainer. Dennis Souverein. Author, contributor. Erwin E. . Hassing. Author, contributor. Casper J. Albers. Thesis advisor. Peter Dutey-Magni. Contributor. Judith M. Fonville. Contributor. Alex W. Friedrich. Thesis advisor. Corinna Glasner. Thesis advisor. Eric H. L. C. M. Hazenberg. Contributor. Gwen Knight. Contributor. Annick Lenglet. Contributor. Christian F. Luz. Contributor. Bart C. Meijer. Contributor. Dmytro Mykhailenko. Contributor. Anton Mymrikov. Contributor. Andrew P. Norgan. Contributor. Sofia Ny. Contributor. Matthew Saab. Contributor. Jonas Salm. Contributor. Javier Sanchez. Contributor. Rogier P. Schade. Contributor. Bhanu N. M. Sinha. Thesis advisor. Jason Stull. Contributor. Anthony Underwood. Contributor. Anita Williams. Contributor.","code":""},{"path":"https://msberends.github.io/AMR/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C (2022). “AMR: R Package Working Antimicrobial Resistance Data.” Journal Statistical Software, 104(3), 1–31. doi:10.18637/jss.v104.i03.","code":"@Article{,   title = {{AMR}: An {R} Package for Working with Antimicrobial Resistance Data},   author = {Matthijs S. Berends and Christian F. Luz and Alexander W. Friedrich and Bhanu N. M. Sinha and Casper J. Albers and Corinna Glasner},   journal = {Journal of Statistical Software},   year = {2022},   volume = {104},   number = {3},   pages = {1--31},   doi = {10.18637/jss.v104.i03}, }"},{"path":"https://msberends.github.io/AMR/index.html","id":"the-amr-package-for-r-","dir":"","previous_headings":"","what":"Antimicrobial Resistance Data Analysis","title":"Antimicrobial Resistance Data Analysis","text":"Provides --one solution AMR data analysis One Health approach Generates antibiograms - traditional, combined, syndromic, even WISCA Provides full microbiological taxonomy data antimicrobial drugs Applies recent CLSI EUCAST clinical veterinary breakpoints MICs disk zones Corrects duplicate isolates, calculates predicts AMR per antibiotic class Integrates WHONET, ATC, EARS-Net, PubChem, LOINC SNOMED CT Works Windows, macOS Linux versions R since R-3.0 completely dependency-free, highly suitable places limited resources https://msberends.github.io/AMR https://doi.org/10.18637/jss.v104.i03","code":""},{"path":"https://msberends.github.io/AMR/index.html","id":"introduction","dir":"","previous_headings":"","what":"Introduction","title":"Antimicrobial Resistance Data Analysis","text":"AMR package free open-source R package zero dependencies simplify analysis prediction Antimicrobial Resistance (AMR) work microbial antimicrobial data properties, using evidence-based methods. aim provide standard clean reproducible AMR data analysis, can therefore empower epidemiological analyses continuously enable surveillance treatment evaluation setting. Many different researchers around globe continually helping us make successful durable project! work published Journal Statistical Software (Volume 104(3); DOI 10.18637/jss.v104.i03) formed basis two PhD theses (DOI 10.33612/diss.177417131 DOI 10.33612/diss.192486375). installing package, R knows ~52,000 distinct microbial species (updated December 2022) ~600 antibiotic, antimycotic antiviral drugs name code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC SNOMED CT), knows valid SIR MIC values. integral clinical breakpoint guidelines CLSI EUCAST included, even epidemiological cut-(ECOFF) values. supports can read data format, including WHONET data. package works Windows, macOS Linux versions R since R-3.0 (April 2013). designed work setting, including limited resources. created routine data analysis academic research Faculty Medical Sciences University Groningen, collaboration non-profit organisations Certe Medical Diagnostics Advice Foundation University Medical Center Groningen.","code":""},{"path":"https://msberends.github.io/AMR/index.html","id":"used-in-over-175-countries-translated-into-20-languages","dir":"","previous_headings":"Introduction","what":"Used in over 175 countries, translated into 20 languages","title":"Antimicrobial Resistance Data Analysis","text":"Since first public release early 2018, R package used almost countries world. Click map enlarge see country names. help contributors corners world, AMR package available  English,  Czech,  Chinese,  Danish,  Dutch,  Finnish,  French,  German,  Greek,  Italian,  Japanese,  Norwegian,  Polish,  Portuguese,  Romanian,  Russian,  Spanish,  Swedish,  Turkish,  Ukrainian. Antimicrobial drug (group) names colloquial microorganism names provided languages.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/index.html","id":"filtering-and-selecting-data","dir":"","previous_headings":"Practical examples","what":"Filtering and selecting data","title":"Antimicrobial Resistance Data Analysis","text":"One powerful functions package, aside calculating plotting AMR, selecting filtering based antibiotic columns. can done using -called antibiotic class selectors work base R, dplyr data.table: defined row filter Gram-negative bacteria intrinsic resistance cefotaxime (mo_is_gram_negative() mo_is_intrinsic_resistant()) column selection two antibiotic groups (aminoglycosides() carbapenems()), reference data microorganisms antibiotics AMR package make sure get meant: base R equivalent : base R code work version R since April 2013 (R-3.0). Moreover, code works identically data.table package, starting :","code":"# AMR works great with dplyr, but it's not required or neccesary library(AMR) library(dplyr)  example_isolates %>%   mutate(bacteria = mo_fullname()) %>%   # filtering functions for microorganisms:   filter(mo_is_gram_negative(),          mo_is_intrinsic_resistant(ab = \"cefotax\")) %>%   # antibiotic selectors:   select(bacteria,          aminoglycosides(),          carbapenems()) library(AMR) example_isolates$bacteria <- mo_fullname(example_isolates$mo) example_isolates[which(mo_is_gram_negative() &                          mo_is_intrinsic_resistant(ab = \"cefotax\")),                  c(\"bacteria\", aminoglycosides(), carbapenems())] example_isolates <- data.table::as.data.table(example_isolates)"},{"path":"https://msberends.github.io/AMR/index.html","id":"generating-antibiograms","dir":"","previous_headings":"Practical examples","what":"Generating antibiograms","title":"Antimicrobial Resistance Data Analysis","text":"AMR package supports generating traditional, combined, syndromic, even weighted-incidence syndromic combination antibiograms (WISCA). used inside R Markdown Quarto, table printed right output format automatically (markdown, LaTeX, HTML, etc.). combination antibiograms, clear combined antibiotics yield higher empiric coverage: Like many functions package, antibiogram() comes support 20 languages often detected automatically based system language:","code":"antibiogram(example_isolates,             antibiotics = c(aminoglycosides(), carbapenems())) antibiogram(example_isolates,             antibiotics = c(\"TZP\", \"TZP+TOB\", \"TZP+GEN\"),             mo_transform = \"gramstain\") antibiogram(example_isolates,             antibiotics = c(\"cipro\", \"tobra\", \"genta\"), # any arbitrary name or code will work             mo_transform = \"gramstain\",             ab_transform = \"name\",             language = \"uk\") # Ukrainian"},{"path":"https://msberends.github.io/AMR/index.html","id":"calculating-resistance-per-group","dir":"","previous_headings":"Practical examples","what":"Calculating resistance per group","title":"Antimicrobial Resistance Data Analysis","text":"manual approach, can use resistance susceptibility() function: use antibiotic class selectors select series antibiotic columns:","code":"example_isolates %>%   # group by ward:   group_by(ward) %>%   # calculate AMR using resistance() for gentamicin and tobramycin   # and get their 95% confidence intervals using sir_confidence_interval():   summarise(across(c(GEN, TOB),                    list(total_R = resistance,                         conf_int = function(x) sir_confidence_interval(x, collapse = \"-\")))) library(AMR) library(dplyr)  out <- example_isolates %>%   # group by ward:   group_by(ward) %>%   # calculate AMR using resistance(), over all aminoglycosides and polymyxins:   summarise(across(c(aminoglycosides(), polymyxins()),             resistance)) out # transform the antibiotic columns to names: out %>% set_ab_names() # transform the antibiotic column to ATC codes: out %>% set_ab_names(property = \"atc\")"},{"path":"https://msberends.github.io/AMR/index.html","id":"what-else-can-you-do-with-this-package","dir":"","previous_headings":"","what":"What else can you do with this package?","title":"Antimicrobial Resistance Data Analysis","text":"package intended comprehensive toolbox integrated AMR data analysis. package can used : Reference taxonomy microorganisms, since package contains microbial (sub)species List Prokaryotic names Standing Nomenclature (LPSN) Global Biodiversity Information Facility (GBIF) (manual) Interpreting raw MIC disk diffusion values, based CLSI EUCAST guideline (manual) Retrieving antimicrobial drug names, doses forms administration clinical health care records (manual) Determining first isolates used AMR data analysis (manual) Calculating antimicrobial resistance (tutorial) Determining multi-drug resistance (MDR) / multi-drug resistant organisms (MDRO) (tutorial) Calculating (empirical) susceptibility mono therapy combination therapies (tutorial) Predicting future antimicrobial resistance using regression models (tutorial) Getting properties microorganism (like Gram stain, species, genus family) (manual) Getting properties antibiotic (like name, code EARS-Net/ATC/LOINC/PubChem, defined daily dose trade name) (manual) Plotting antimicrobial resistance (tutorial) Applying EUCAST expert rules (manual) Getting SNOMED codes microorganism, getting properties microorganism based SNOMED code (manual) Getting LOINC codes antibiotic, getting properties antibiotic based LOINC code (manual) Machine reading EUCAST CLSI guidelines 2011-2021 translate MIC values disk diffusion diameters SIR (link) Principal component analysis AMR (tutorial)","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/index.html","id":"latest-official-version","dir":"","previous_headings":"Get this package","what":"Latest official version","title":"Antimicrobial Resistance Data Analysis","text":"package available official R network (CRAN). Install package R CRAN using command: downloaded installed automatically. RStudio, click menu Tools > Install Packages… type “AMR” press Install. Note: functions website may available latest release. use functions data sets mentioned website, install latest development version.","code":"install.packages(\"AMR\")"},{"path":"https://msberends.github.io/AMR/index.html","id":"latest-development-version","dir":"","previous_headings":"Get this package","what":"Latest development version","title":"Antimicrobial Resistance Data Analysis","text":"Please read Developer Guideline . latest unpublished development version can installed GitHub two ways: Manually, using: Automatically, using rOpenSci R-universe platform, adding R-universe address list repositories (‘repos’): , can install update AMR package like official release (e.g., using install.packages(\"AMR\") RStudio via Tools > Check Package Updates…).","code":"install.packages(\"remotes\") # if you haven't already remotes::install_github(\"msberends/AMR\") options(repos = c(getOption(\"repos\"),                   msberends = \"https://msberends.r-universe.dev\"))"},{"path":"https://msberends.github.io/AMR/index.html","id":"get-started","dir":"","previous_headings":"","what":"Get started","title":"Antimicrobial Resistance Data Analysis","text":"find conduct AMR data analysis, please continue reading get started click link ‘’ menu.","code":""},{"path":"https://msberends.github.io/AMR/index.html","id":"partners","dir":"","previous_headings":"","what":"Partners","title":"Antimicrobial Resistance Data Analysis","text":"development package part , related , made possible following non-profit organisations initiatives:","code":""},{"path":"https://msberends.github.io/AMR/index.html","id":"copyright","dir":"","previous_headings":"","what":"Copyright","title":"Antimicrobial Resistance Data Analysis","text":"R package free, open-source software licensed GNU General Public License v2.0 (GPL-2). nutshell, means package: May used commercial purposes May used private purposes May used patent purposes May modified, although: Modifications must released license distributing package Changes made code must documented May distributed, although: Source code must made available package distributed copy license copyright notice must included package. Comes LIMITATION liability Comes warranty","code":""},{"path":"https://msberends.github.io/AMR/reference/AMR-options.html","id":null,"dir":"Reference","previous_headings":"","what":"Options for the AMR package — AMR-options","title":"Options for the AMR package — AMR-options","text":"overview package-specific options() can set AMR package.","code":""},{"path":"https://msberends.github.io/AMR/reference/AMR-options.html","id":"options","dir":"Reference","previous_headings":"","what":"Options","title":"Options for the AMR package — AMR-options","text":"AMR_breakpoint_type  character use .sir(), indicate breakpoint type use. must either \"ECOFF\", \"animal\", \"human\". AMR_cleaning_regex  regular expression (case-insensitive) use .mo() mo_* functions, clean user input. default outcome mo_cleaning_regex(), removes texts brackets texts \"species\" \"serovar\". AMR_custom_ab  file location RDS file, use custom antimicrobial drugs package. explained add_custom_antimicrobials(). AMR_custom_mo  file location RDS file, use custom microorganisms package. explained add_custom_microorganisms(). AMR_eucastrules  character set default types rules eucast_rules() function, must one : \"breakpoints\", \"expert\", \"\", \"custom\", \"\", defaults c(\"breakpoints\", \"expert\"). AMR_guideline  character set default guideline interpreting MIC values disk diffusion diameters .sir(). Can guideline name (e.g., \"CLSI\") name year (e.g. \"CLSI 2019\"). default latest implemented EUCAST guideline, currently \"EUCAST 2023\". Supported guideline currently EUCAST (2011-2023) CLSI (2011-2023). AMR_ignore_pattern  regular expression ignore (.e., make NA) match given .mo() mo_* functions. AMR_include_PKPD  logical use .sir(), indicate PK/PD clinical breakpoints must applied last resort - default TRUE. AMR_include_screening  logical use .sir(), indicate clinical breakpoints screening allowed - default FALSE. AMR_keep_synonyms  logical use .mo() mo_* functions, indicate old, previously valid taxonomic names must preserved corrected currently accepted names. default FALSE. AMR_locale  character set language AMR package, can one supported language names ISO-639-1 codes: English (en), Chinese (zh), Czech (cs), Danish (da), Dutch (nl), Finnish (fi), French (fr), German (de), Greek (el), Italian (), Japanese (ja), Norwegian (), Polish (pl), Portuguese (pt), Romanian (ro), Russian (ru), Spanish (es), Swedish (sv), Turkish (tr), Ukrainian (uk). default current system language (supported, English otherwise). AMR_mo_source  file location manual code list used .mo() mo_* functions. explained set_mo_source().","code":""},{"path":"https://msberends.github.io/AMR/reference/AMR-options.html","id":"saving-settings-between-sessions","dir":"Reference","previous_headings":"","what":"Saving Settings Between Sessions","title":"Options for the AMR package — AMR-options","text":"Settings R saved globally thus lost R exited. can save options .Rprofile file, user-specific file. can edit using:   file, can set options ...   ...add Portuguese language support antibiotics, allow PK/PD rules interpreting MIC values .sir().","code":"utils::file.edit(\"~/.Rprofile\") options(AMR_locale = \"pt\")  options(AMR_include_PKPD = TRUE)"},{"path":"https://msberends.github.io/AMR/reference/AMR-options.html","id":"share-options-within-team","dir":"Reference","previous_headings":"","what":"Share Options Within Team","title":"Options for the AMR package — AMR-options","text":"global approach, e.g. within (data) team, save options file remote file location, shared network drive, user read file automatically start-. work way: Save plain text file e.g. \"X:/team_folder/R_options.R\" fill preferred settings. user, open .Rprofile file using utils::file.edit(\"~/.Rprofile\") put :   Reload R/RStudio check settings getOption(), e.g. getOption(\"AMR_locale\") set value. Now team settings configured one place, can maintained .","code":"source(\"X:/team_folder/R_options.R\")"},{"path":"https://msberends.github.io/AMR/reference/AMR.html","id":null,"dir":"Reference","previous_headings":"","what":"The AMR Package — AMR","title":"The AMR Package — AMR","text":"Welcome AMR package. AMR package free open-source R package zero dependencies simplify analysis prediction Antimicrobial Resistance (AMR) work microbial antimicrobial data properties, using evidence-based methods. aim provide standard clean reproducible AMR data analysis, can therefore empower epidemiological analyses continuously enable surveillance treatment evaluation setting. Many different researchers around globe continually helping us make successful durable project! work published Journal Statistical Software (Volume 104(3); doi:10.18637/jss.v104.i03 ) formed basis two PhD theses (doi:10.33612/diss.177417131  doi:10.33612/diss.192486375 ). installing package, R knows ~52 000 microorganisms (updated January 2024) ~600 antibiotic, antimycotic antiviral drugs name code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC SNOMED CT), knows valid SIR MIC values. integral clinical breakpoint guidelines CLSI EUCAST included, even epidemiological cut-(ECOFF) values. supports can read data format, including WHONET data. package works Windows, macOS Linux versions R since R-3.0 (April 2013). designed work setting, including limited resources. created routine data analysis academic research Faculty Medical Sciences public University Groningen, collaboration non-profit organisations Certe Medical Diagnostics Advice Foundation University Medical Center Groningen. AMR package available English, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Italian, Japanese, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, Ukrainian. Antimicrobial drug (group) names colloquial microorganism names provided languages.","code":""},{"path":"https://msberends.github.io/AMR/reference/AMR.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"The AMR Package — AMR","text":"cite AMR publications use: Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C (2022). \"AMR: R Package Working Antimicrobial Resistance Data.\" Journal Statistical Software, 104(3), 1-31. doi:10.18637/jss.v104.i03 BibTeX entry LaTeX users :","code":"@Article{,   title = {{AMR}: An {R} Package for Working with Antimicrobial Resistance Data},   author = {Matthijs S. Berends and Christian F. Luz and Alexander W. Friedrich and Bhanu N. M. Sinha and Casper J. Albers and Corinna Glasner},   journal = {Journal of Statistical Software},   year = {2022},   volume = {104},   number = {3},   pages = {1--31},   doi = {10.18637/jss.v104.i03}, }"},{"path":"https://msberends.github.io/AMR/reference/AMR.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"The AMR Package — AMR","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/AMR.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"The AMR Package — AMR","text":"Maintainer: Matthijs S. Berends m.s.berends@umcg.nl (ORCID) Authors: Dennis Souverein (ORCID) [contributor] Erwin E. . Hassing [contributor] contributors: Casper J. Albers (ORCID) [thesis advisor] Peter Dutey-Magni (ORCID) [contributor] Judith M. Fonville [contributor] Alex W. Friedrich (ORCID) [thesis advisor] Corinna Glasner (ORCID) [thesis advisor] Eric H. L. C. M. Hazenberg [contributor] Gwen Knight (ORCID) [contributor] Annick Lenglet (ORCID) [contributor] Christian F. Luz (ORCID) [contributor] Bart C. Meijer [contributor] Dmytro Mykhailenko [contributor] Anton Mymrikov [contributor] Andrew P. Norgan (ORCID) [contributor] Sofia Ny (ORCID) [contributor] Matthew Saab [contributor] Jonas Salm [contributor] Javier Sanchez (ORCID) [contributor] Rogier P. Schade [contributor] Bhanu N. M. Sinha (ORCID) [thesis advisor] Jason Stull (ORCID) [contributor] Anthony Underwood (ORCID) [contributor] Anita Williams (ORCID) [contributor]","code":""},{"path":"https://msberends.github.io/AMR/reference/WHOCC.html","id":null,"dir":"Reference","previous_headings":"","what":"WHOCC: WHO Collaborating Centre for Drug Statistics Methodology — WHOCC","title":"WHOCC: WHO Collaborating Centre for Drug Statistics Methodology — WHOCC","text":"antimicrobial drugs official names, ATC codes, ATC groups defined daily dose (DDD) included package, using Collaborating Centre Drug Statistics Methodology.","code":""},{"path":"https://msberends.github.io/AMR/reference/WHOCC.html","id":"whocc","dir":"Reference","previous_headings":"","what":"WHOCC","title":"WHOCC: WHO Collaborating Centre for Drug Statistics Methodology — WHOCC","text":"package contains ~550 antibiotic, antimycotic antiviral drugs Anatomical Therapeutic Chemical (ATC) codes, ATC groups Defined Daily Dose (DDD) World Health Organization Collaborating Centre Drug Statistics Methodology (WHOCC, https://www.whocc.) Pharmaceuticals Community Register European Commission (https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm). become gold standard international drug utilisation monitoring research. WHOCC located Oslo Norwegian Institute Public Health funded Norwegian government. European Commission executive European Union promotes general interest. NOTE: WHOCC copyright allow use commercial purposes, unlike info package. See https://www.whocc./copyright_disclaimer/.","code":""},{"path":"https://msberends.github.io/AMR/reference/WHOCC.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"WHOCC: WHO Collaborating Centre for Drug Statistics Methodology — WHOCC","text":"","code":"as.ab(\"meropenem\") #> Class 'ab' #> [1] MEM ab_name(\"J01DH02\") #> [1] \"Meropenem\"  ab_tradenames(\"flucloxacillin\") #>  [1] \"culpen\"               \"floxacillin\"          \"floxacillin sodium\"   #>  [4] \"floxapen\"             \"floxapen sodium salt\" \"fluclox\"              #>  [7] \"flucloxacilina\"       \"flucloxacillin\"       \"flucloxacilline\"      #> [10] \"flucloxacillinum\"     \"fluorochloroxacillin\" \"staphylex\""},{"path":"https://msberends.github.io/AMR/reference/WHONET.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with 500 Isolates - WHONET Example — WHONET","title":"Data Set with 500 Isolates - WHONET Example — WHONET","text":"example data set exact structure export file WHONET. files can used package, example data set shows. antibiotic results example_isolates data set. patient names created using online surname generators place practice purposes.","code":""},{"path":"https://msberends.github.io/AMR/reference/WHONET.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with 500 Isolates - WHONET Example — WHONET","text":"","code":"WHONET"},{"path":"https://msberends.github.io/AMR/reference/WHONET.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with 500 Isolates - WHONET Example — WHONET","text":"tibble 500 observations 53 variables: Identification number ID sample Specimen number ID specimen Organism Name microorganism. analysis, transform valid microbial class, using .mo(). Country Country origin Laboratory Name laboratory Last name Fictitious last name patient First name Fictitious initial patient Sex Fictitious gender patient Age Fictitious age patient Age category Age group, can also looked using age_groups() Date admissionDate hospital admission Specimen dateDate specimen received laboratory Specimen type Specimen type group Specimen type (Numeric) Translation \"Specimen type\" Reason Reason request Differential Diagnosis Isolate number ID isolate Organism type Type microorganism, can also looked using mo_type() Serotype Serotype microorganism Beta-lactamase Microorganism produces beta-lactamase? ESBL Microorganism produces extended spectrum beta-lactamase? Carbapenemase Microorganism produces carbapenemase? MRSA screening test Microorganism possible MRSA? Inducible clindamycin resistance Clindamycin can induced? Comment comments Date data entryDate data entered WHONET AMP_ND10:CIP_EE 28 different antibiotics. can lookup abbreviations antibiotics data set, use e.g. ab_name(\"AMP\") get official name immediately. analysis, transform valid antibiotic class, using .sir().","code":""},{"path":"https://msberends.github.io/AMR/reference/WHONET.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with 500 Isolates - WHONET Example — WHONET","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/WHONET.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with 500 Isolates - WHONET Example — WHONET","text":"","code":"WHONET #> # A tibble: 500 × 53 #>    `Identification number` `Specimen number` Organism Country         Laboratory #>    <chr>                               <int> <chr>    <chr>           <chr>      #>  1 fe41d7bafa                           1748 SPN      Belgium         National … #>  2 91f175ec37                           1767 eco      The Netherlands National … #>  3 cc4015056e                           1343 eco      The Netherlands National … #>  4 e864b692f5                           1894 MAP      Denmark         National … #>  5 3d051fe345                           1739 PVU      Belgium         National … #>  6 c80762a08d                           1846 103      The Netherlands National … #>  7 8022d3727c                           1628 103      Denmark         National … #>  8 f3dc5f553d                           1493 eco      The Netherlands National … #>  9 15add38f6c                           1847 eco      France          National … #> 10 fd41248def                           1458 eco      Germany         National … #> # ℹ 490 more rows #> # ℹ 48 more variables: `Last name` <chr>, `First name` <chr>, Sex <chr>, #> #   Age <dbl>, `Age category` <chr>, `Date of admission` <date>, #> #   `Specimen date` <date>, `Specimen type` <chr>, #> #   `Specimen type (Numeric)` <dbl>, Reason <chr>, `Isolate number` <int>, #> #   `Organism type` <chr>, Serotype <chr>, `Beta-lactamase` <lgl>, ESBL <lgl>, #> #   Carbapenemase <lgl>, `MRSA screening test` <lgl>, …"},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"Use function e.g. clinical texts health care records. returns list antimicrobial drugs, doses forms administration found texts.","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"","code":"ab_from_text(   text,   type = c(\"drug\", \"dose\", \"administration\"),   collapse = NULL,   translate_ab = FALSE,   thorough_search = NULL,   info = interactive(),   ... )"},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"text text analyse type type property search , either \"drug\", \"dose\" \"administration\", see Examples collapse character pass paste(, collapse = ...) return one character per element text, see Examples translate_ab type = \"drug\": column name antibiotics data set translate antibiotic abbreviations , using ab_property(). default FALSE. Using TRUE equal using \"name\". thorough_search logical indicate whether input must extensively searched misspelling faulty input values. Setting TRUE take considerably time using FALSE. default, turn TRUE input elements contain maximum three words. info logical indicate whether progress bar printed - default TRUE interactive mode ... arguments passed .ab()","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"list,  character collapse NULL","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"function also internally used .ab(), although searches first drug name throw note drug names returned. Note: .ab() function may use long regular expression match brand names antimicrobial drugs. may fail systems.","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"argument-type","dir":"Reference","previous_headings":"","what":"Argument type","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"default, function search antimicrobial drug names. text elements searched official names, ATC codes brand names. uses .ab() internally, correct misspelling. type = \"dose\" (similar, like \"dosing\", \"doses\"), text elements searched numeric values higher 100 resemble years. output numeric. supports unit (g, mg, IE, etc.) multiple values one clinical text, see Examples. type = \"administration\" (abbreviations, like \"admin\", \"adm\"), text elements searched form drug administration. supports following forms (including common abbreviations): buccal, implant, inhalation, instillation, intravenous, nasal, oral, parenteral, rectal, sublingual, transdermal vaginal. Abbreviations oral ('po', 'per os') become \"oral\", values intravenous ('iv', 'intraven') become \"iv\". supports multiple values one clinical text, see Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"argument-collapse","dir":"Reference","previous_headings":"","what":"Argument collapse","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"Without using collapse, function return list. can convenient use e.g. inside mutate()):df %>% mutate(abx = ab_from_text(clinical_text)) returned AB codes can transformed official names, groups, etc. ab_* functions ab_name() ab_group(), using translate_ab argument. using collapse, function return character:df %>% mutate(abx = ab_from_text(clinical_text, collapse = \"|\"))","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"","code":"# mind the bad spelling of amoxicillin in this line, # straight from a true health care record: ab_from_text(\"28/03/2020 regular amoxicilliin 500mg po tid\") #> [[1]] #> Class 'ab' #> [1] AMX #>   ab_from_text(\"500 mg amoxi po and 400mg cipro iv\") #> [[1]] #> Class 'ab' #> [1] AMX CIP #>  ab_from_text(\"500 mg amoxi po and 400mg cipro iv\", type = \"dose\") #> [[1]] #> [1] 500 400 #>  ab_from_text(\"500 mg amoxi po and 400mg cipro iv\", type = \"admin\") #> [[1]] #> [1] \"oral\" \"iv\"   #>   ab_from_text(\"500 mg amoxi po and 400mg cipro iv\", collapse = \", \") #> [1] \"AMX, CIP\" # \\donttest{ # if you want to know which antibiotic groups were administered, do e.g.: abx <- ab_from_text(\"500 mg amoxi po and 400mg cipro iv\") ab_group(abx[[1]]) #> [1] \"Beta-lactams/penicillins\" \"Quinolones\"                if (require(\"dplyr\")) {   tibble(clinical_text = c(     \"given 400mg cipro and 500 mg amox\",     \"started on doxy iv today\"   )) %>%     mutate(       abx_codes = ab_from_text(clinical_text),       abx_doses = ab_from_text(clinical_text, type = \"doses\"),       abx_admin = ab_from_text(clinical_text, type = \"admin\"),       abx_coll = ab_from_text(clinical_text, collapse = \"|\"),       abx_coll_names = ab_from_text(clinical_text,         collapse = \"|\",         translate_ab = \"name\"       ),       abx_coll_doses = ab_from_text(clinical_text,         type = \"doses\",         collapse = \"|\"       ),       abx_coll_admin = ab_from_text(clinical_text,         type = \"admin\",         collapse = \"|\"       )     ) } #> Loading required package: dplyr #>  #> Attaching package: ‘dplyr’ #> The following objects are masked from ‘package:stats’: #>  #>     filter, lag #> The following objects are masked from ‘package:base’: #>  #>     intersect, setdiff, setequal, union #> # A tibble: 2 × 8 #>   clinical_text            abx_codes abx_doses abx_admin abx_coll abx_coll_names #>   <chr>                    <list>    <list>    <list>    <chr>    <chr>          #> 1 given 400mg cipro and 5… <ab [2]>  <dbl [2]> <chr [1]> CIP|AMX  Ciprofloxacin… #> 2 started on doxy iv today <ab [1]>  <dbl [1]> <chr [1]> DOX      Doxycycline    #> # ℹ 2 more variables: abx_coll_doses <chr>, abx_coll_admin <chr> # }"},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Properties of an Antibiotic — ab_property","title":"Get Properties of an Antibiotic — ab_property","text":"Use functions return specific property antibiotic antibiotics data set. input values evaluated internally .ab().","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Properties of an Antibiotic — ab_property","text":"","code":"ab_name(x, language = get_AMR_locale(), tolower = FALSE, ...)  ab_cid(x, ...)  ab_synonyms(x, ...)  ab_tradenames(x, ...)  ab_group(x, language = get_AMR_locale(), ...)  ab_atc(x, only_first = FALSE, ...)  ab_atc_group1(x, language = get_AMR_locale(), ...)  ab_atc_group2(x, language = get_AMR_locale(), ...)  ab_loinc(x, ...)  ab_ddd(x, administration = \"oral\", ...)  ab_ddd_units(x, administration = \"oral\", ...)  ab_info(x, language = get_AMR_locale(), ...)  ab_url(x, open = FALSE, ...)  ab_property(x, property = \"name\", language = get_AMR_locale(), ...)  set_ab_names(   data,   ...,   property = \"name\",   language = get_AMR_locale(),   snake_case = NULL )"},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Properties of an Antibiotic — ab_property","text":"x (vector ) text can coerced valid antibiotic drug code .ab() language language returned text - default current system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. tolower logical indicate whether first character every output transformed lower case character. lead e.g. \"polymyxin B\" \"polymyxin b\". ... case set_ab_names() data data.frame: columns select (supports tidy selection column1:column4), otherwise arguments passed .ab() only_first logical indicate whether first ATC code must returned, giving preference J0-codes (.e., antimicrobial drug group) administration way administration, either \"oral\" \"iv\" open browse URL using utils::browseURL() property one column names one antibiotics data set: vector_or(colnames(antibiotics), sort = FALSE). data data.frame columns need renamed, character vector column names snake_case logical indicate whether names -called snake case: lower case spaces/slashes replaced underscore (_)","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Properties of an Antibiotic — ab_property","text":"integer case ab_cid() named list case ab_info() multiple ab_atc()/ab_synonyms()/ab_tradenames() double case ab_ddd() data.frame case set_ab_names() character cases","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get Properties of an Antibiotic — ab_property","text":"output translated possible. function ab_url() return direct URL official website. warning returned required ATC code available. function set_ab_names() special column renaming function data.frames. renames columns names resemble antimicrobial drugs. always makes sure new column names unique. property = \"atc\" set, preference given ATC codes J-group.","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Get Properties of an Antibiotic — ab_property","text":"World Health Organization () Collaborating Centre Drug Statistics Methodology: https://www.whocc./atc_ddd_index/ European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Get Properties of an Antibiotic — ab_property","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get Properties of an Antibiotic — ab_property","text":"","code":"# all properties: ab_name(\"AMX\") #> [1] \"Amoxicillin\" ab_atc(\"AMX\") #> [1] \"J01CA04\" ab_cid(\"AMX\") #> [1] 33613 ab_synonyms(\"AMX\") #>  [1] \"actimoxi\"            \"amoclen\"             \"amolin\"              #>  [4] \"amopen\"              \"amopenixin\"          \"amoxibiotic\"         #>  [7] \"amoxicaps\"           \"amoxicilina\"         \"amoxicillin\"         #> [10] \"amoxicillin hydrate\" \"amoxicilline\"        \"amoxicillinum\"       #> [13] \"amoxiden\"            \"amoxil\"              \"amoxivet\"            #> [16] \"amoxy\"               \"amoxycillin\"         \"amoxyke\"             #> [19] \"anemolin\"            \"aspenil\"             \"atoksilin\"           #> [22] \"biomox\"              \"bristamox\"           \"cemoxin\"             #> [25] \"clamoxyl\"            \"damoxy\"              \"delacillin\"          #> [28] \"demoksil\"            \"dispermox\"           \"efpenix\"             #> [31] \"flemoxin\"            \"hiconcil\"            \"histocillin\"         #> [34] \"hydroxyampicillin\"   \"ibiamox\"             \"imacillin\"           #> [37] \"lamoxy\"              \"largopen\"            \"metafarma capsules\"  #> [40] \"metifarma capsules\"  \"moksilin\"            \"moxacin\"             #> [43] \"moxatag\"             \"ospamox\"             \"pamoxicillin\"        #> [46] \"piramox\"             \"promoxil\"            \"remoxil\"             #> [49] \"robamox\"             \"sawamox pm\"          \"tolodina\"            #> [52] \"topramoxin\"          \"unicillin\"           \"utimox\"              #> [55] \"vetramox\"            ab_tradenames(\"AMX\") #>  [1] \"actimoxi\"            \"amoclen\"             \"amolin\"              #>  [4] \"amopen\"              \"amopenixin\"          \"amoxibiotic\"         #>  [7] \"amoxicaps\"           \"amoxicilina\"         \"amoxicillin\"         #> [10] \"amoxicillin hydrate\" \"amoxicilline\"        \"amoxicillinum\"       #> [13] \"amoxiden\"            \"amoxil\"              \"amoxivet\"            #> [16] \"amoxy\"               \"amoxycillin\"         \"amoxyke\"             #> [19] \"anemolin\"            \"aspenil\"             \"atoksilin\"           #> [22] \"biomox\"              \"bristamox\"           \"cemoxin\"             #> [25] \"clamoxyl\"            \"damoxy\"              \"delacillin\"          #> [28] \"demoksil\"            \"dispermox\"           \"efpenix\"             #> [31] \"flemoxin\"            \"hiconcil\"            \"histocillin\"         #> [34] \"hydroxyampicillin\"   \"ibiamox\"             \"imacillin\"           #> [37] \"lamoxy\"              \"largopen\"            \"metafarma capsules\"  #> [40] \"metifarma capsules\"  \"moksilin\"            \"moxacin\"             #> [43] \"moxatag\"             \"ospamox\"             \"pamoxicillin\"        #> [46] \"piramox\"             \"promoxil\"            \"remoxil\"             #> [49] \"robamox\"             \"sawamox pm\"          \"tolodina\"            #> [52] \"topramoxin\"          \"unicillin\"           \"utimox\"              #> [55] \"vetramox\"            ab_group(\"AMX\") #> [1] \"Beta-lactams/penicillins\" ab_atc_group1(\"AMX\") #> [1] \"Beta-lactam antibacterials, penicillins\" ab_atc_group2(\"AMX\") #> [1] \"Penicillins with extended spectrum\" ab_url(\"AMX\") #>                                                           Amoxicillin  #> \"https://www.whocc.no/atc_ddd_index/?code=J01CA04&showdescription=no\"   # smart lowercase transformation ab_name(x = c(\"AMC\", \"PLB\")) #> [1] \"Amoxicillin/clavulanic acid\" \"Polymyxin B\"                 ab_name(x = c(\"AMC\", \"PLB\"), tolower = TRUE) #> [1] \"amoxicillin/clavulanic acid\" \"polymyxin B\"                  # defined daily doses (DDD) ab_ddd(\"AMX\", \"oral\") #> [1] 1.5 ab_ddd_units(\"AMX\", \"oral\") #> [1] \"g\" ab_ddd(\"AMX\", \"iv\") #> [1] 3 ab_ddd_units(\"AMX\", \"iv\") #> [1] \"g\"  ab_info(\"AMX\") # all properties as a list #> $ab #> [1] \"AMX\" #>  #> $cid #> [1] 33613 #>  #> $name #> [1] \"Amoxicillin\" #>  #> $group #> [1] \"Beta-lactams/penicillins\" #>  #> $atc #> [1] \"J01CA04\" #>  #> $atc_group1 #> [1] \"Beta-lactam antibacterials, penicillins\" #>  #> $atc_group2 #> [1] \"Penicillins with extended spectrum\" #>  #> $tradenames #>  [1] \"actimoxi\"            \"amoclen\"             \"amolin\"              #>  [4] \"amopen\"              \"amopenixin\"          \"amoxibiotic\"         #>  [7] \"amoxicaps\"           \"amoxicilina\"         \"amoxicillin\"         #> [10] \"amoxicillin hydrate\" \"amoxicilline\"        \"amoxicillinum\"       #> [13] \"amoxiden\"            \"amoxil\"              \"amoxivet\"            #> [16] \"amoxy\"               \"amoxycillin\"         \"amoxyke\"             #> [19] \"anemolin\"            \"aspenil\"             \"atoksilin\"           #> [22] \"biomox\"              \"bristamox\"           \"cemoxin\"             #> [25] \"clamoxyl\"            \"damoxy\"              \"delacillin\"          #> [28] \"demoksil\"            \"dispermox\"           \"efpenix\"             #> [31] \"flemoxin\"            \"hiconcil\"            \"histocillin\"         #> [34] \"hydroxyampicillin\"   \"ibiamox\"             \"imacillin\"           #> [37] \"lamoxy\"              \"largopen\"            \"metafarma capsules\"  #> [40] \"metifarma capsules\"  \"moksilin\"            \"moxacin\"             #> [43] \"moxatag\"             \"ospamox\"             \"pamoxicillin\"        #> [46] \"piramox\"             \"promoxil\"            \"remoxil\"             #> [49] \"robamox\"             \"sawamox pm\"          \"tolodina\"            #> [52] \"topramoxin\"          \"unicillin\"           \"utimox\"              #> [55] \"vetramox\"            #>  #> $loinc #>  [1] \"101498-4\" \"15-8\"     \"16-6\"     \"16365-9\"  \"17-4\"     \"18-2\"     #>  [7] \"18861-5\"  \"18862-3\"  \"19-0\"     \"20-8\"     \"21-6\"     \"22-4\"     #> [13] \"25274-2\"  \"25310-4\"  \"3344-9\"   \"55614-2\"  \"55615-9\"  \"55616-7\"  #> [19] \"6976-5\"   \"6977-3\"   \"80133-2\"  #>  #> $ddd #> $ddd$oral #> $ddd$oral$amount #> [1] 1.5 #>  #> $ddd$oral$units #> [1] \"g\" #>  #>  #> $ddd$iv #> $ddd$iv$amount #> [1] 3 #>  #> $ddd$iv$units #> [1] \"g\" #>  #>  #>   # all ab_* functions use as.ab() internally, so you can go from 'any' to 'any': ab_atc(\"AMP\") #> [1] \"J01CA01\" \"S01AA19\" ab_group(\"J01CA01\") #> [1] \"Beta-lactams/penicillins\" ab_loinc(\"ampicillin\") #>  [1] \"101477-8\" \"101478-6\" \"18864-9\"  \"18865-6\"  \"20374-5\"  \"21066-6\"  #>  [7] \"23618-2\"  \"27-3\"     \"28-1\"     \"29-9\"     \"30-7\"     \"31-5\"     #> [13] \"32-3\"     \"33-1\"     \"3355-5\"   \"33562-0\"  \"33919-2\"  \"34-9\"     #> [19] \"43883-8\"  \"43884-6\"  \"6979-9\"   \"6980-7\"   \"87604-5\"  ab_name(\"21066-6\") #> [1] \"Ampicillin\" ab_name(6249) #> [1] \"Ampicillin\" ab_name(\"J01CA01\") #> [1] \"Ampicillin\"  # spelling from different languages and dyslexia are no problem ab_atc(\"ceftriaxon\") #> [1] \"J01DD04\" ab_atc(\"cephtriaxone\") #> [1] \"J01DD04\" ab_atc(\"cephthriaxone\") #> [1] \"J01DD04\" ab_atc(\"seephthriaaksone\") #> [1] \"J01DD04\"  # use set_ab_names() for renaming columns colnames(example_isolates) #>  [1] \"date\"    \"patient\" \"age\"     \"gender\"  \"ward\"    \"mo\"      \"PEN\"     #>  [8] \"OXA\"     \"FLC\"     \"AMX\"     \"AMC\"     \"AMP\"     \"TZP\"     \"CZO\"     #> [15] \"FEP\"     \"CXM\"     \"FOX\"     \"CTX\"     \"CAZ\"     \"CRO\"     \"GEN\"     #> [22] \"TOB\"     \"AMK\"     \"KAN\"     \"TMP\"     \"SXT\"     \"NIT\"     \"FOS\"     #> [29] \"LNZ\"     \"CIP\"     \"MFX\"     \"VAN\"     \"TEC\"     \"TCY\"     \"TGC\"     #> [36] \"DOX\"     \"ERY\"     \"CLI\"     \"AZM\"     \"IPM\"     \"MEM\"     \"MTR\"     #> [43] \"CHL\"     \"COL\"     \"MUP\"     \"RIF\"     colnames(set_ab_names(example_isolates)) #>  [1] \"date\"                          \"patient\"                       #>  [3] \"age\"                           \"gender\"                        #>  [5] \"ward\"                          \"mo\"                            #>  [7] \"benzylpenicillin\"              \"oxacillin\"                     #>  [9] \"flucloxacillin\"                \"amoxicillin\"                   #> [11] \"amoxicillin_clavulanic_acid\"   \"ampicillin\"                    #> [13] \"piperacillin_tazobactam\"       \"cefazolin\"                     #> [15] \"cefepime\"                      \"cefuroxime\"                    #> [17] \"cefoxitin\"                     \"cefotaxime\"                    #> [19] \"ceftazidime\"                   \"ceftriaxone\"                   #> [21] \"gentamicin\"                    \"tobramycin\"                    #> [23] \"amikacin\"                      \"kanamycin\"                     #> [25] \"trimethoprim\"                  \"trimethoprim_sulfamethoxazole\" #> [27] \"nitrofurantoin\"                \"fosfomycin\"                    #> [29] \"linezolid\"                     \"ciprofloxacin\"                 #> [31] \"moxifloxacin\"                  \"vancomycin\"                    #> [33] \"teicoplanin\"                   \"tetracycline\"                  #> [35] \"tigecycline\"                   \"doxycycline\"                   #> [37] \"erythromycin\"                  \"clindamycin\"                   #> [39] \"azithromycin\"                  \"imipenem\"                      #> [41] \"meropenem\"                     \"metronidazole\"                 #> [43] \"chloramphenicol\"               \"colistin\"                      #> [45] \"mupirocin\"                     \"rifampicin\"                    colnames(set_ab_names(example_isolates, NIT:VAN)) #>  [1] \"date\"           \"patient\"        \"age\"            \"gender\"         #>  [5] \"ward\"           \"mo\"             \"PEN\"            \"OXA\"            #>  [9] \"FLC\"            \"AMX\"            \"AMC\"            \"AMP\"            #> [13] \"TZP\"            \"CZO\"            \"FEP\"            \"CXM\"            #> [17] \"FOX\"            \"CTX\"            \"CAZ\"            \"CRO\"            #> [21] \"GEN\"            \"TOB\"            \"AMK\"            \"KAN\"            #> [25] \"TMP\"            \"SXT\"            \"nitrofurantoin\" \"fosfomycin\"     #> [29] \"linezolid\"      \"ciprofloxacin\"  \"moxifloxacin\"   \"vancomycin\"     #> [33] \"TEC\"            \"TCY\"            \"TGC\"            \"DOX\"            #> [37] \"ERY\"            \"CLI\"            \"AZM\"            \"IPM\"            #> [41] \"MEM\"            \"MTR\"            \"CHL\"            \"COL\"            #> [45] \"MUP\"            \"RIF\"            # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     set_ab_names()    # this does the same:   example_isolates %>%     rename_with(set_ab_names)    # set_ab_names() works with any AB property:   example_isolates %>%     set_ab_names(property = \"atc\")    example_isolates %>%     set_ab_names(where(is.sir)) %>%     colnames()    example_isolates %>%     set_ab_names(NIT:VAN) %>%     colnames() } #>  [1] \"date\"           \"patient\"        \"age\"            \"gender\"         #>  [5] \"ward\"           \"mo\"             \"PEN\"            \"OXA\"            #>  [9] \"FLC\"            \"AMX\"            \"AMC\"            \"AMP\"            #> [13] \"TZP\"            \"CZO\"            \"FEP\"            \"CXM\"            #> [17] \"FOX\"            \"CTX\"            \"CAZ\"            \"CRO\"            #> [21] \"GEN\"            \"TOB\"            \"AMK\"            \"KAN\"            #> [25] \"TMP\"            \"SXT\"            \"nitrofurantoin\" \"fosfomycin\"     #> [29] \"linezolid\"      \"ciprofloxacin\"  \"moxifloxacin\"   \"vancomycin\"     #> [33] \"TEC\"            \"TCY\"            \"TGC\"            \"DOX\"            #> [37] \"ERY\"            \"CLI\"            \"AZM\"            \"IPM\"            #> [41] \"MEM\"            \"MTR\"            \"CHL\"            \"COL\"            #> [45] \"MUP\"            \"RIF\"            # }"},{"path":"https://msberends.github.io/AMR/reference/add_custom_antimicrobials.html","id":null,"dir":"Reference","previous_headings":"","what":"Add Custom Antimicrobials — add_custom_antimicrobials","title":"Add Custom Antimicrobials — add_custom_antimicrobials","text":"add_custom_antimicrobials() can add custom antimicrobial drug names codes.","code":""},{"path":"https://msberends.github.io/AMR/reference/add_custom_antimicrobials.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add Custom Antimicrobials — add_custom_antimicrobials","text":"","code":"add_custom_antimicrobials(x)  clear_custom_antimicrobials()"},{"path":"https://msberends.github.io/AMR/reference/add_custom_antimicrobials.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add Custom Antimicrobials — add_custom_antimicrobials","text":"x data.frame resembling antibiotics data set, least containing columns \"ab\" \"name\"","code":""},{"path":"https://msberends.github.io/AMR/reference/add_custom_antimicrobials.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Add Custom Antimicrobials — add_custom_antimicrobials","text":"Important: Due R works, add_custom_antimicrobials() function run every R session - added antimicrobials stored sessions thus lost R exited. two ways circumvent automate process adding antimicrobials: Method 1: Using package option AMR_custom_ab, preferred method. use method: Create data set structure antibiotics data set (containing least columns \"ab\" \"name\") save saveRDS() location choice, e.g. \"~/my_custom_ab.rds\", remote location. Set file location package option AMR_custom_ab: options(AMR_custom_ab = \"~/my_custom_ab.rds\"). can even remote file location, https URL. Since options saved R sessions, best save option .Rprofile file loaded start-R. , open .Rprofile file using e.g. utils::file.edit(\"~/.Rprofile\"), add text save file:   Upon package load, file loaded run add_custom_antimicrobials() function. Method 2: Loading antimicrobial additions directly .Rprofile file. Note definitions stored user-specific R file, suboptimal workflow. use method: Edit .Rprofile file using e.g. utils::file.edit(\"~/.Rprofile\"). Add text like save file:   Use clear_custom_antimicrobials() clear previously added antimicrobials.","code":"# Add custom antimicrobial codes: options(AMR_custom_ab = \"~/my_custom_ab.rds\") # Add custom antibiotic drug codes:  AMR::add_custom_antimicrobials(    data.frame(ab = \"TESTAB\",               name = \"Test Antibiotic\",               group = \"Test Group\")  )"},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/add_custom_antimicrobials.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add Custom Antimicrobials — add_custom_antimicrobials","text":"","code":"# \\donttest{  # returns NA and throws a warning (which is suppressed here): suppressWarnings(   as.ab(\"testab\") ) #> Class 'ab' #> [1] <NA>  # now add a custom entry - it will be considered by as.ab() and # all ab_*() functions add_custom_antimicrobials(   data.frame(     ab = \"TESTAB\",     name = \"Test Antibiotic\",     # you can add any property present in the     # 'antibiotics' data set, such as 'group':     group = \"Test Group\"   ) ) #> ℹ Added one record to the internal antibiotics data set.  # \"testab\" is now a new antibiotic: as.ab(\"testab\") #> Class 'ab' #> [1] TESTAB ab_name(\"testab\") #> [1] \"Test Antibiotic\" ab_group(\"testab\") #> [1] \"Test Group\"  ab_info(\"testab\") #> $ab #> [1] \"TESTAB\" #>  #> $cid #> [1] NA #>  #> $name #> [1] \"Test Antibiotic\" #>  #> $group #> [1] \"Test Group\" #>  #> $atc #> [1] NA #>  #> $atc_group1 #> [1] NA #>  #> $atc_group2 #> [1] NA #>  #> $tradenames #> [1] NA #>  #> $loinc #> [1] NA #>  #> $ddd #> $ddd$oral #> $ddd$oral$amount #> [1] NA #>  #> $ddd$oral$units #> [1] NA #>  #>  #> $ddd$iv #> $ddd$iv$amount #> [1] NA #>  #> $ddd$iv$units #> [1] NA #>  #>  #>    # Add Co-fluampicil, which is one of the many J01CR50 codes, see # https://www.whocc.no/ddd/list_of_ddds_combined_products/ add_custom_antimicrobials(   data.frame(     ab = \"COFLU\",     name = \"Co-fluampicil\",     atc = \"J01CR50\",     group = \"Beta-lactams/penicillins\"   ) ) #> ℹ Added one record to the internal antibiotics data set. ab_atc(\"Co-fluampicil\") #> [1] \"J01CR50\" ab_name(\"J01CR50\") #> [1] \"Co-fluampicil\"  # even antibiotic selectors work x <- data.frame(   random_column = \"some value\",   coflu = as.sir(\"S\"),   ampicillin = as.sir(\"R\") ) x #>   random_column coflu ampicillin #> 1    some value     S          R x[, betalactams()] #> ℹ For betalactams() using columns 'coflu' (co-fluampicil) and #>   'ampicillin' #>   coflu ampicillin #> 1     S          R # }"},{"path":"https://msberends.github.io/AMR/reference/add_custom_microorganisms.html","id":null,"dir":"Reference","previous_headings":"","what":"Add Custom Microorganisms — add_custom_microorganisms","title":"Add Custom Microorganisms — add_custom_microorganisms","text":"add_custom_microorganisms() can add custom microorganisms, non-taxonomic outcome laboratory analysis.","code":""},{"path":"https://msberends.github.io/AMR/reference/add_custom_microorganisms.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add Custom Microorganisms — add_custom_microorganisms","text":"","code":"add_custom_microorganisms(x)  clear_custom_microorganisms()"},{"path":"https://msberends.github.io/AMR/reference/add_custom_microorganisms.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add Custom Microorganisms — add_custom_microorganisms","text":"x data.frame resembling microorganisms data set, least containing column \"genus\" (case-insensitive)","code":""},{"path":"https://msberends.github.io/AMR/reference/add_custom_microorganisms.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Add Custom Microorganisms — add_custom_microorganisms","text":"function fill missing taxonomy , specific taxonomic columns missing, see Examples. Important: Due R works, add_custom_microorganisms() function run every R session - added microorganisms stored sessions thus lost R exited. two ways circumvent automate process adding microorganisms: Method 1: Using package option AMR_custom_mo, preferred method. use method: Create data set structure microorganisms data set (containing least column \"genus\") save saveRDS() location choice, e.g. \"~/my_custom_mo.rds\", remote location. Set file location package option AMR_custom_mo: options(AMR_custom_mo = \"~/my_custom_mo.rds\"). can even remote file location, https URL. Since options saved R sessions, best save option .Rprofile file loaded start-R. , open .Rprofile file using e.g. utils::file.edit(\"~/.Rprofile\"), add text save file:   Upon package load, file loaded run add_custom_microorganisms() function. Method 2: Loading microorganism directly .Rprofile file. Note definitions stored user-specific R file, suboptimal workflow. use method: Edit .Rprofile file using e.g. utils::file.edit(\"~/.Rprofile\"). Add text like save file:   Use clear_custom_microorganisms() clear previously added microorganisms.","code":"# Add custom microorganism codes: options(AMR_custom_mo = \"~/my_custom_mo.rds\") # Add custom antibiotic drug codes:  AMR::add_custom_microorganisms(    data.frame(genus = \"Enterobacter\",               species = \"asburiae/cloacae\")  )"},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/add_custom_microorganisms.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add Custom Microorganisms — add_custom_microorganisms","text":"","code":"# \\donttest{ # a combination of species is not formal taxonomy, so # this will result in \"Enterobacter cloacae cloacae\", # since it resembles the input best: mo_name(\"Enterobacter asburiae/cloacae\") #> [1] \"Enterobacter cloacae cloacae\"  # now add a custom entry - it will be considered by as.mo() and # all mo_*() functions add_custom_microorganisms(   data.frame(     genus = \"Enterobacter\",     species = \"asburiae/cloacae\"   ) ) #> ℹ Added Enterobacter asburiae/cloacae to the internal microorganisms data #>   set.  # E. asburiae/cloacae is now a new microorganism: mo_name(\"Enterobacter asburiae/cloacae\") #> [1] \"Enterobacter asburiae/cloacae\"  # its code: as.mo(\"Enterobacter asburiae/cloacae\") #> Class 'mo' #> [1] CUSTOM1_ENTRB_ASB/  # all internal algorithms will work as well: mo_name(\"Ent asburia cloacae\") #> [1] \"Enterobacter asburiae/cloacae\"  # and even the taxonomy was added based on the genus! mo_family(\"E. asburiae/cloacae\") #> [1] \"Enterobacteriaceae\" mo_gramstain(\"Enterobacter asburiae/cloacae\") #> [1] \"Gram-negative\"  mo_info(\"Enterobacter asburiae/cloacae\") #> $mo #> [1] \"CUSTOM1_ENTRB_ASB/\" #>  #> $kingdom #> [1] \"Bacteria\" #>  #> $phylum #> [1] \"Pseudomonadota\" #>  #> $class #> [1] \"Gammaproteobacteria\" #>  #> $order #> [1] \"Enterobacterales\" #>  #> $family #> [1] \"Enterobacteriaceae\" #>  #> $genus #> [1] \"Enterobacter\" #>  #> $species #> [1] \"asburiae/cloacae\" #>  #> $subspecies #> [1] \"\" #>  #> $status #> [1] \"accepted\" #>  #> $synonyms #> NULL #>  #> $gramstain #> [1] \"Gram-negative\" #>  #> $oxygen_tolerance #> [1] NA #>  #> $url #> [1] \"\" #>  #> $ref #> [1] \"Self-added, 2024\" #>  #> $snomed #> [1] NA #>  #> $lpsn #> [1] NA #>  #> $gbif #> [1] NA #>    # the function tries to be forgiving: add_custom_microorganisms(   data.frame(     GENUS = \"BACTEROIDES / PARABACTEROIDES SLASHLINE\",     SPECIES = \"SPECIES\"   ) ) #> ℹ Added Bacteroides/Parabacteroides to the internal microorganisms data #>   set. mo_name(\"BACTEROIDES / PARABACTEROIDES\") #> [1] \"Bacteroides/Parabacteroides\" mo_rank(\"BACTEROIDES / PARABACTEROIDES\") #> [1] \"genus\"  # taxonomy still works, even though a slashline genus was given as input: mo_family(\"Bacteroides/Parabacteroides\") #> [1] \"Bacteroidaceae\"   # for groups and complexes, set them as species or subspecies: add_custom_microorganisms(   data.frame(     genus = \"Citrobacter\",     species = c(\"freundii\", \"braakii complex\"),     subspecies = c(\"complex\", \"\")   ) ) #> ℹ Added Citrobacter braakii complex and Citrobacter freundii complex to the #>   internal microorganisms data set. mo_name(c(\"C. freundii complex\", \"C. braakii complex\")) #> [1] \"Citrobacter freundii complex\" \"Citrobacter braakii complex\"  mo_species(c(\"C. freundii complex\", \"C. braakii complex\")) #> [1] \"freundii complex\" \"braakii complex\"  mo_gramstain(c(\"C. freundii complex\", \"C. braakii complex\")) #> [1] \"Gram-negative\" \"Gram-negative\" # }"},{"path":"https://msberends.github.io/AMR/reference/age.html","id":null,"dir":"Reference","previous_headings":"","what":"Age in Years of Individuals — age","title":"Age in Years of Individuals — age","text":"Calculates age years based reference date, system date default.","code":""},{"path":"https://msberends.github.io/AMR/reference/age.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Age in Years of Individuals — age","text":"","code":"age(x, reference = Sys.Date(), exact = FALSE, na.rm = FALSE, ...)"},{"path":"https://msberends.github.io/AMR/reference/age.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Age in Years of Individuals — age","text":"x date(s), character (vectors) coerced .POSIXlt() reference reference date(s) (default today), character (vectors) coerced .POSIXlt() exact logical indicate whether age calculation exact, .e. decimals. divides number days year--date (YTD) x number days year reference (either 365 366). na.rm logical indicate whether missing values removed ... arguments passed .POSIXlt(), origin","code":""},{"path":"https://msberends.github.io/AMR/reference/age.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Age in Years of Individuals — age","text":"integer (decimals) exact = FALSE, double (decimals) otherwise","code":""},{"path":"https://msberends.github.io/AMR/reference/age.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Age in Years of Individuals — age","text":"Ages 0 returned NA warning. Ages 120 give warning. function vectorises x reference, meaning either can length 1 argument larger length.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/age.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Age in Years of Individuals — age","text":"","code":"# 10 random pre-Y2K birth dates df <- data.frame(birth_date = as.Date(\"2000-01-01\") - runif(10) * 25000)  # add ages df$age <- age(df$birth_date)  # add exact ages df$age_exact <- age(df$birth_date, exact = TRUE)  # add age at millenium switch df$age_at_y2k <- age(df$birth_date, \"2000-01-01\")  df #>    birth_date age age_exact age_at_y2k #> 1  1965-12-05  58  58.22404         34 #> 2  1980-03-01  43  43.98634         19 #> 3  1949-11-01  74  74.31694         50 #> 4  1947-02-14  77  77.03005         52 #> 5  1940-02-19  84  84.01639         59 #> 6  1988-01-10  36  36.12568         11 #> 7  1997-08-27  26  26.49727          2 #> 8  1978-01-26  46  46.08197         21 #> 9  1972-06-17  51  51.69126         27 #> 10 1986-08-10  37  37.54372         13"},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":null,"dir":"Reference","previous_headings":"","what":"Split Ages into Age Groups — age_groups","title":"Split Ages into Age Groups — age_groups","text":"Split ages age groups defined split argument. allows easier demographic (antimicrobial resistance) analysis.","code":""},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split Ages into Age Groups — age_groups","text":"","code":"age_groups(x, split_at = c(12, 25, 55, 75), na.rm = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split Ages into Age Groups — age_groups","text":"x age, e.g. calculated age() split_at values split x - default age groups 0-11, 12-24, 25-54, 55-74 75+. See Details. na.rm logical indicate whether missing values removed","code":""},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split Ages into Age Groups — age_groups","text":"Ordered factor","code":""},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Split Ages into Age Groups — age_groups","text":"split ages, input split_at argument can : numeric vector. value e.g. c(10, 20) split x 0-9, 10-19 20+. value 50 split x 0-49 50+. default split young children (0-11), youth (12-24), young adults (25-54), middle-aged adults (55-74) elderly (75+). character: \"children\" \"kids\", equivalent : c(0, 1, 2, 4, 6, 13, 18). split 0, 1, 2-3, 4-5, 6-12, 13-17 18+. \"elderly\" \"seniors\", equivalent : c(65, 75, 85). split 0-64, 65-74, 75-84, 85+. \"fives\", equivalent : 1:20 * 5. split 0-4, 5-9, ..., 95-99, 100+. \"tens\", equivalent : 1:10 * 10. split 0-9, 10-19, ..., 90-99, 100+.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split Ages into Age Groups — age_groups","text":"","code":"ages <- c(3, 8, 16, 54, 31, 76, 101, 43, 21)  # split into 0-49 and 50+ age_groups(ages, 50) #> [1] 0-49 0-49 0-49 50+  0-49 50+  50+  0-49 0-49 #> Levels: 0-49 < 50+  # split into 0-19, 20-49 and 50+ age_groups(ages, c(20, 50)) #> [1] 0-19  0-19  0-19  50+   20-49 50+   50+   20-49 20-49 #> Levels: 0-19 < 20-49 < 50+  # split into groups of ten years age_groups(ages, 1:10 * 10) #> [1] 0-9   0-9   10-19 50-59 30-39 70-79 100+  40-49 20-29 #> 11 Levels: 0-9 < 10-19 < 20-29 < 30-39 < 40-49 < 50-59 < 60-69 < ... < 100+ age_groups(ages, split_at = \"tens\") #> [1] 0-9   0-9   10-19 50-59 30-39 70-79 100+  40-49 20-29 #> 11 Levels: 0-9 < 10-19 < 20-29 < 30-39 < 40-49 < 50-59 < 60-69 < ... < 100+  # split into groups of five years age_groups(ages, 1:20 * 5) #> [1] 0-4   5-9   15-19 50-54 30-34 75-79 100+  40-44 20-24 #> 21 Levels: 0-4 < 5-9 < 10-14 < 15-19 < 20-24 < 25-29 < 30-34 < ... < 100+ age_groups(ages, split_at = \"fives\") #> [1] 0-4   5-9   15-19 50-54 30-34 75-79 100+  40-44 20-24 #> 21 Levels: 0-4 < 5-9 < 10-14 < 15-19 < 20-24 < 25-29 < 30-34 < ... < 100+  # split specifically for children age_groups(ages, c(1, 2, 4, 6, 13, 18)) #> [1] 2-3   6-12  13-17 18+   18+   18+   18+   18+   18+   #> Levels: 0 < 1 < 2-3 < 4-5 < 6-12 < 13-17 < 18+ age_groups(ages, \"children\") #> [1] 2-3   6-12  13-17 18+   18+   18+   18+   18+   18+   #> Levels: 0 < 1 < 2-3 < 4-5 < 6-12 < 13-17 < 18+  # \\donttest{ # resistance of ciprofloxacin per age group if (require(\"dplyr\") && require(\"ggplot2\")) {   example_isolates %>%     filter_first_isolate() %>%     filter(mo == as.mo(\"Escherichia coli\")) %>%     group_by(age_group = age_groups(age)) %>%     select(age_group, CIP) %>%     ggplot_sir(       x = \"age_group\",       minimum = 0,       x.title = \"Age Group\",       title = \"Ciprofloxacin resistance per age group\"     ) } #> Loading required package: ggplot2  # }"},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"Generate antibiogram, communicate results plots tables. functions follow logic Klinker et al. Barbieri et al. (see Source), allow reporting e.g. R Markdown Quarto well.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"","code":"antibiogram(   x,   antibiotics = where(is.sir),   mo_transform = \"shortname\",   ab_transform = NULL,   syndromic_group = NULL,   add_total_n = TRUE,   only_all_tested = FALSE,   digits = 0,   col_mo = NULL,   language = get_AMR_locale(),   minimum = 30,   combine_SI = TRUE,   sep = \" + \",   info = interactive() )  # S3 method for antibiogram plot(x, ...)  # S3 method for antibiogram autoplot(object, ...)  # S3 method for antibiogram knit_print(   x,   italicise = TRUE,   na = getOption(\"knitr.kable.NA\", default = \"\"),   ... )"},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"Klinker KP et al. (2021). Antimicrobial stewardship antibiograms: importance moving beyond traditional antibiograms. Therapeutic Advances Infectious Disease, May 5;8:20499361211011373; doi:10.1177/20499361211011373 Barbieri E et al. (2021). Development Weighted-Incidence Syndromic Combination Antibiogram (WISCA) guide choice empiric antibiotic treatment urinary tract infection paediatric patients: Bayesian approach Antimicrobial Resistance & Infection Control May 1;10(1):74; doi:10.1186/s13756-021-00939-2 M39 Analysis Presentation Cumulative Antimicrobial Susceptibility Test Data, 5th Edition, 2022, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/microbiology/documents/m39/.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"x data.frame containing least column microorganisms columns antibiotic results (class 'sir', see .sir()) antibiotics vector antibiotic name code (evaluated .ab(), column name x, (combinations ) antibiotic selectors aminoglycosides() carbapenems(). combination antibiograms, can also set values separated \"+\", \"TZP+TOB\" \"cipro + genta\", given columns resembling antibiotics exist x. See Examples. mo_transform character transform microorganism input - must \"name\", \"shortname\", \"gramstain\", one column names microorganisms data set: \"mo\", \"fullname\", \"status\", \"kingdom\", \"phylum\", \"class\", \"order\", \"family\", \"genus\", \"species\", \"subspecies\", \"rank\", \"ref\", \"oxygen_tolerance\", \"source\", \"lpsn\", \"lpsn_parent\", \"lpsn_renamed_to\", \"gbif\", \"gbif_parent\", \"gbif_renamed_to\", \"prevalence\", \"snomed\". Can also NULL transform input. ab_transform character transform antibiotic input - must one column names antibiotics data set: \"ab\", \"cid\", \"name\", \"group\", \"atc\", \"atc_group1\", \"atc_group2\", \"abbreviations\", \"synonyms\", \"oral_ddd\", \"oral_units\", \"iv_ddd\", \"iv_units\", \"loinc\". Can also NULL transform input. syndromic_group column name x, values calculated split rows x, e.g. using ifelse() case_when(). See Examples. add_total_n logical indicate whether total available numbers per pathogen added table (default TRUE). add lowest highest number available isolate per antibiotic (e.g, E. coli 200 isolates available ciprofloxacin 150 amoxicillin, returned number \"150-200\"). only_all_tested (combination antibiograms): logical indicate isolates must tested antibiotics, see Details digits number digits use rounding col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). language language translate text, defaults system language (see get_AMR_locale()) minimum minimum allowed number available (tested) isolates. isolate count lower minimum return NA warning. default number 30 isolates advised Clinical Laboratory Standards Institute (CLSI) best practice, see Source. combine_SI logical indicate whether susceptibility determined results either S , instead S (default TRUE) sep separating character antibiotic columns combination antibiograms info logical indicate info printed - default TRUE interactive mode ... used R Markdown Quarto: arguments passed knitr::kable() (otherwise, use) object antibiogram() object italicise logical indicate whether microorganism names knitr table made italic, using italicise_taxonomy(). na character use showing NA values","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"function returns table values 0 100 susceptibility, resistance. Remember filter data let contain first isolates! needed exclude duplicates reduce selection bias. Use first_isolate() determine data set one four available algorithms. types antibiograms listed can plotted (using ggplot2::autoplot() base R plot()/barplot()). antibiogram object can also used directly R Markdown / Quarto (.e., knitr) reports. case, knitr::kable() applied automatically microorganism names even printed italics default (see argument italicise). can also use functions specific 'table reporting' packages transform output antibiogram() needs, e.g. flextable::as_flextable() gt::gt().","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"antibiogram-types","dir":"Reference","previous_headings":"","what":"Antibiogram Types","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"four antibiogram types, proposed Klinker et al. (2021, doi:10.1177/20499361211011373 ), supported antibiogram(): Traditional Antibiogram Case example: Susceptibility Pseudomonas aeruginosa piperacillin/tazobactam (TZP) Code example:   Combination Antibiogram Case example: Additional susceptibility Pseudomonas aeruginosa TZP + tobramycin versus TZP alone Code example:   Syndromic Antibiogram Case example: Susceptibility Pseudomonas aeruginosa TZP among respiratory specimens (obtained among ICU patients ) Code example:   Weighted-Incidence Syndromic Combination Antibiogram (WISCA) Case example: Susceptibility Pseudomonas aeruginosa TZP among respiratory specimens (obtained among ICU patients ) male patients age >=65 years heart failure Code example:   Note combination antibiograms, important realise susceptibility can calculated two ways, can set only_all_tested argument (default FALSE). See example two antibiotics, Drug Drug B, antibiogram() works calculate %SI:","code":"antibiogram(your_data,             antibiotics = \"TZP\") antibiogram(your_data,             antibiotics = c(\"TZP\", \"TZP+TOB\", \"TZP+GEN\")) antibiogram(your_data,             antibiotics = penicillins(),             syndromic_group = \"ward\") library(dplyr) your_data %>%   filter(ward == \"ICU\" & specimen_type == \"Respiratory\") %>%   antibiogram(antibiotics = c(\"TZP\", \"TZP+TOB\", \"TZP+GEN\"),               syndromic_group = ifelse(.$age >= 65 &                                          .$gender == \"Male\" &                                          .$condition == \"Heart Disease\",                                        \"Study Group\", \"Control Group\")) --------------------------------------------------------------------                     only_all_tested = FALSE  only_all_tested = TRUE                     -----------------------  -----------------------  Drug A    Drug B   include as  include as   include as  include as                     numerator   denominator  numerator   denominator --------  --------  ----------  -----------  ----------  -----------  S or I    S or I       X            X            X            X    R       S or I       X            X            X            X   <NA>     S or I       X            X            -            -  S or I      R          X            X            X            X    R         R          -            X            -            X   <NA>       R          -            -            -            -  S or I     <NA>        X            X            -            -    R        <NA>        -            -            -            -   <NA>      <NA>        -            -            -            - --------------------------------------------------------------------"},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"","code":"# example_isolates is a data set available in the AMR package. # run ?example_isolates for more info. example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  # \\donttest{ # Traditional antibiogram ----------------------------------------------  antibiogram(example_isolates,   antibiotics = c(aminoglycosides(), carbapenems()) ) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 10 × 7 #>    `Pathogen (N min-max)`   AMK   GEN   IPM   KAN   MEM   TOB #>  * <chr>                  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 CoNS (43-309)              0    86    52     0    52    22 #>  2 E. coli (0-462)          100    98   100    NA   100    97 #>  3 E. faecalis (0-39)         0     0   100     0    NA     0 #>  4 K. pneumoniae (0-58)      NA    90   100    NA   100    90 #>  5 P. aeruginosa (17-30)     NA   100    NA     0    NA   100 #>  6 P. mirabilis (0-34)       NA    94    94    NA    NA    94 #>  7 S. aureus (2-233)         NA    99    NA    NA    NA    98 #>  8 S. epidermidis (8-163)     0    79    NA     0    NA    51 #>  9 S. hominis (3-80)         NA    92    NA    NA    NA    85 #> 10 S. pneumoniae (11-117)     0     0    NA     0    NA     0  antibiogram(example_isolates,   antibiotics = aminoglycosides(),   ab_transform = \"atc\",   mo_transform = \"gramstain\" ) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 2 × 5 #>   `Pathogen (N min-max)`   J01GB01 J01GB03 J01GB04 J01GB06 #> * <chr>                      <dbl>   <dbl>   <dbl>   <dbl> #> 1 Gram-negative (35-686)        96      96       0      98 #> 2 Gram-positive (436-1170)      34      63       0       0  antibiogram(example_isolates,   antibiotics = carbapenems(),   ab_transform = \"name\",   mo_transform = \"name\" ) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 5 × 3 #>   `Pathogen (N min-max)`                           Imipenem Meropenem #> * <chr>                                               <dbl>     <dbl> #> 1 Coagulase-negative Staphylococcus (CoNS) (48-48)       52        52 #> 2 Enterococcus faecalis (0-38)                          100        NA #> 3 Escherichia coli (418-422)                            100       100 #> 4 Klebsiella pneumoniae (51-53)                         100       100 #> 5 Proteus mirabilis (27-32)                              94        NA   # Combined antibiogram -------------------------------------------------  # combined antibiotics yield higher empiric coverage antibiogram(example_isolates,   antibiotics = c(\"TZP\", \"TZP+TOB\", \"TZP+GEN\"),   mo_transform = \"gramstain\" ) #> # A tibble: 2 × 4 #>   `Pathogen (N min-max)`     TZP `TZP + GEN` `TZP + TOB` #> * <chr>                    <dbl>       <dbl>       <dbl> #> 1 Gram-negative (641-693)     88          99          98 #> 2 Gram-positive (345-1044)    86          98          95  # names of antibiotics do not need to resemble columns exactly: antibiogram(example_isolates,   antibiotics = c(\"Cipro\", \"cipro + genta\"),   mo_transform = \"gramstain\",   ab_transform = \"name\",   sep = \" & \" ) #> # A tibble: 2 × 3 #>   `Pathogen (N min-max)`  Ciprofloxacin `Ciprofloxacin & Gentamicin` #> * <chr>                           <dbl>                        <dbl> #> 1 Gram-negative (684-694)            91                           99 #> 2 Gram-positive (724-847)            77                           93   # Syndromic antibiogram ------------------------------------------------  # the data set could contain a filter for e.g. respiratory specimens antibiogram(example_isolates,   antibiotics = c(aminoglycosides(), carbapenems()),   syndromic_group = \"ward\" ) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 14 × 8 #>    `Syndromic Group` `Pathogen (N min-max)`   AMK   GEN   IPM   KAN   MEM   TOB #>  * <chr>             <chr>                  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 Clinical          CoNS (23-205)             NA    89    57    NA    57    26 #>  2 ICU               CoNS (10-73)              NA    79    NA    NA    NA    NA #>  3 Outpatient        CoNS (3-31)               NA    84    NA    NA    NA    NA #>  4 Clinical          E. coli (0-299)          100    98   100    NA   100    98 #>  5 ICU               E. coli (0-137)          100    99   100    NA   100    96 #>  6 Clinical          K. pneumoniae (0-51)      NA    92   100    NA   100    92 #>  7 Clinical          P. mirabilis (0-30)       NA   100    NA    NA    NA   100 #>  8 Clinical          S. aureus (2-150)         NA    99    NA    NA    NA    97 #>  9 ICU               S. aureus (0-66)          NA   100    NA    NA    NA    NA #> 10 Clinical          S. epidermidis (4-79)     NA    82    NA    NA    NA    55 #> 11 ICU               S. epidermidis (4-75)     NA    72    NA    NA    NA    41 #> 12 Clinical          S. hominis (1-45)         NA    96    NA    NA    NA    94 #> 13 Clinical          S. pneumoniae (5-78)       0     0    NA     0    NA     0 #> 14 ICU               S. pneumoniae (5-30)       0     0    NA     0    NA     0  # now define a data set with only E. coli ex1 <- example_isolates[which(mo_genus() == \"Escherichia\"), ] #> ℹ Using column 'mo' as input for mo_genus()  # with a custom language, though this will be determined automatically # (i.e., this table will be in Spanish on Spanish systems) antibiogram(ex1,   antibiotics = aminoglycosides(),   ab_transform = \"name\",   syndromic_group = ifelse(ex1$ward == \"ICU\",     \"UCI\", \"No UCI\"   ),   language = \"es\" ) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 2 × 5 #>   `Grupo sindrómico` `Patógeno (N min-max)` Amikacina Gentamicina Tobramicina #> * <chr>              <chr>                      <dbl>       <dbl>       <dbl> #> 1 No UCI             E. coli (0-325)              100          98          98 #> 2 UCI                E. coli (0-137)              100          99          96   # Weighted-incidence syndromic combination antibiogram (WISCA) ---------  # the data set could contain a filter for e.g. respiratory specimens/ICU antibiogram(example_isolates,   antibiotics = c(\"AMC\", \"AMC+CIP\", \"TZP\", \"TZP+TOB\"),   mo_transform = \"gramstain\",   minimum = 10, # this should be >=30, but now just as example   syndromic_group = ifelse(example_isolates$age >= 65 &     example_isolates$gender == \"M\",   \"WISCA Group 1\", \"WISCA Group 2\"   ) ) #> # A tibble: 4 × 6 #>   `Syndromic Group` `Pathogen (N min-max)`    AMC `AMC + CIP`   TZP `TZP + TOB` #> * <chr>             <chr>                   <dbl>       <dbl> <dbl>       <dbl> #> 1 WISCA Group 1     Gram-negative (261-285)    76          95    89          99 #> 2 WISCA Group 2     Gram-negative (380-442)    76          98    88          98 #> 3 WISCA Group 1     Gram-positive (123-406)    76          89    81          95 #> 4 WISCA Group 2     Gram-positive (222-732)    76          89    88          95   # Print the output for R Markdown / Quarto -----------------------------  ureido <- antibiogram(example_isolates,   antibiotics = ureidopenicillins(),   ab_transform = \"name\" ) #> ℹ For ureidopenicillins() using column 'TZP' (piperacillin/tazobactam)  # in an Rmd file, you would just need to return `ureido` in a chunk, # but to be explicit here: if (requireNamespace(\"knitr\")) {   cat(knitr::knit_print(ureido)) } #>  #>  #> |Pathogen (N)          | Piperacillin/tazobactam| #> |:---------------------|-----------------------:| #> |CoNS (33)             |                      30| #> |*E. coli* (416)       |                      94| #> |*K. pneumoniae* (53)  |                      89| #> |*S. pneumoniae* (112) |                     100|   # Generate plots with ggplot2 or base R --------------------------------  ab1 <- antibiogram(example_isolates,   antibiotics = c(\"AMC\", \"CIP\", \"TZP\", \"TZP+TOB\"),   mo_transform = \"gramstain\" ) ab2 <- antibiogram(example_isolates,   antibiotics = c(\"AMC\", \"CIP\", \"TZP\", \"TZP+TOB\"),   mo_transform = \"gramstain\",   syndromic_group = \"ward\" )  if (requireNamespace(\"ggplot2\")) {   ggplot2::autoplot(ab1) }  if (requireNamespace(\"ggplot2\")) {   ggplot2::autoplot(ab2) }   plot(ab1)  plot(ab2)  # }"},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":null,"dir":"Reference","previous_headings":"","what":"Antibiotic Selectors — antibiotic_class_selectors","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"functions allow filtering rows selecting columns based antibiotic test results specific antibiotic class group (according antibiotics data set), without need define columns antibiotic abbreviations. short, column name resembles antimicrobial drug, picked functions matches pharmaceutical class: \"cefazolin\", \"kefzol\", \"CZO\" \"J01DB04\" picked cephalosporins().","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"","code":"ab_class(ab_class, only_sir_columns = FALSE, only_treatable = TRUE, ...)  ab_selector(filter, only_sir_columns = FALSE, only_treatable = TRUE, ...)  aminoglycosides(only_sir_columns = FALSE, only_treatable = TRUE, ...)  aminopenicillins(only_sir_columns = FALSE, ...)  antifungals(only_sir_columns = FALSE, ...)  antimycobacterials(only_sir_columns = FALSE, ...)  betalactams(only_sir_columns = FALSE, only_treatable = TRUE, ...)  carbapenems(only_sir_columns = FALSE, only_treatable = TRUE, ...)  cephalosporins(only_sir_columns = FALSE, ...)  cephalosporins_1st(only_sir_columns = FALSE, ...)  cephalosporins_2nd(only_sir_columns = FALSE, ...)  cephalosporins_3rd(only_sir_columns = FALSE, ...)  cephalosporins_4th(only_sir_columns = FALSE, ...)  cephalosporins_5th(only_sir_columns = FALSE, ...)  fluoroquinolones(only_sir_columns = FALSE, ...)  glycopeptides(only_sir_columns = FALSE, ...)  lincosamides(only_sir_columns = FALSE, ...)  lipoglycopeptides(only_sir_columns = FALSE, ...)  macrolides(only_sir_columns = FALSE, ...)  oxazolidinones(only_sir_columns = FALSE, ...)  penicillins(only_sir_columns = FALSE, ...)  polymyxins(only_sir_columns = FALSE, only_treatable = TRUE, ...)  streptogramins(only_sir_columns = FALSE, ...)  quinolones(only_sir_columns = FALSE, ...)  tetracyclines(only_sir_columns = FALSE, ...)  trimethoprims(only_sir_columns = FALSE, ...)  ureidopenicillins(only_sir_columns = FALSE, ...)  administrable_per_os(only_sir_columns = FALSE, ...)  administrable_iv(only_sir_columns = FALSE, ...)  not_intrinsic_resistant(   only_sir_columns = FALSE,   col_mo = NULL,   version_expertrules = 3.3,   ... )"},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"ab_class antimicrobial class part , \"carba\" \"carbapenems\". columns group, atc_group1 atc_group2 antibiotics data set searched (case-insensitive) value. only_sir_columns logical indicate whether columns class sir must selected (default FALSE), see .sir() only_treatable logical indicate whether antimicrobial drugs excluded laboratory tests (default TRUE), gentamicin-high (GEH) imipenem/EDTA (IPE) ... ignored, place allow future extensions filter expression evaluated antibiotics data set, name %like% \"trim\" col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). version_expertrules version number use EUCAST Expert Rules Intrinsic Resistance guideline. Can \"3.3\", \"3.2\", \"3.1\".","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"(internally) character vector column names, additional class \"ab_selector\"","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"functions can used data set calls selecting columns filtering rows. work base R, Tidyverse, data.table. heavily inspired Tidyverse selection helpers everything(), limited dplyr verbs. Nonetheless, convenient use dplyr functions select(), filter() summarise(), see Examples. columns data functions called searched known antibiotic names, abbreviations, brand names, codes (ATC, EARS-Net, , etc.) according antibiotics data set. means selector aminoglycosides() pick column names like 'gen', 'genta', 'J01GB03', 'tobra', 'Tobracin', etc. ab_class() function can used filter/select manually defined antibiotic class. searches results antibiotics data set within columns group, atc_group1 atc_group2. ab_selector() function can used internally filter antibiotics data set results, see Examples. allows filtering (part ) certain name, /group name even minimum DDDs oral treatment. function yields highest flexibility, also least user-friendly, since requires hard-coded filter set. administrable_per_os() administrable_iv() functions also rely antibiotics data set - antibiotic columns matched DDD (defined daily dose) resp. oral IV treatment available antibiotics data set. not_intrinsic_resistant() function can used select antibiotic columns pose intrinsic resistance microorganisms data set. example, data set contains microorganism codes names E. coli K. pneumoniae contains column \"vancomycin\", column removed (rather, unselected) using function. currently applies 'EUCAST Expert Rules' 'EUCAST Intrinsic Resistance Unusual Phenotypes' v3.3 (2021) determine intrinsic resistance, using eucast_rules() function internally. determination, function quite slow terms performance.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"full-list-of-supported-antibiotic-classes","dir":"Reference","previous_headings":"","what":"Full list of supported (antibiotic) classes","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"aminoglycosides() can select:  amikacin (AMK), amikacin/fosfomycin (AKF), amphotericin B-high (AMH), apramycin (APR), arbekacin (ARB), astromicin (AST), bekanamycin (BEK), dibekacin (DKB), framycetin (FRM), gentamicin (GEN), gentamicin-high (GEH), habekacin (HAB), hygromycin (HYG), isepamicin (ISE), kanamycin (KAN), kanamycin-high (KAH), kanamycin/cephalexin (KAC), micronomicin (MCR), neomycin (NEO), netilmicin (NET), pentisomicin (PIM), plazomicin (PLZ), propikacin (PKA), ribostamycin (RST), sisomicin (SIS), streptoduocin (STR), streptomycin (STR1), streptomycin-high (STH), tobramycin (TOB), tobramycin-high (TOH) aminopenicillins() can select:  amoxicillin (AMX) ampicillin (AMP) antifungals() can select:  amphotericin B (AMB), anidulafungin (ANI), butoconazole (), caspofungin (CAS), ciclopirox (CIX), clotrimazole (CTR), econazole (ECO), fluconazole (FLU), flucytosine (FCT), fosfluconazole (FFL), griseofulvin (GRI), hachimycin (HCH), ibrexafungerp (IBX), isavuconazole (ISV), isoconazole (ISO), itraconazole (ITR), ketoconazole (KET), manogepix (MGX), micafungin (MIF), miconazole (MCZ), nystatin (NYS), oteseconazole (OTE), pimaricin (PMR), posaconazole (POS), rezafungin (RZF), ribociclib (RBC), sulconazole (SUC), terbinafine (TRB), terconazole (TRC), voriconazole (VOR) antimycobacterials() can select:  4-aminosalicylic acid (AMA), calcium aminosalicylate (CLA), capreomycin (CAP), clofazimine (CLF), delamanid (DLM), enviomycin (ENV), ethambutol (ETH), ethambutol/isoniazid (ETI), ethionamide (ETI1), isoniazid (INH), isoniazid/sulfamethoxazole/trimethoprim/pyridoxine (IST), morinamide (MRN), p-aminosalicylic acid (PAS), pretomanid (PMD), protionamide (PTH), pyrazinamide (PZA), rifabutin (RIB), rifampicin (RIF), rifampicin/ethambutol/isoniazid (REI), rifampicin/isoniazid (RFI), rifampicin/pyrazinamide/ethambutol/isoniazid (RPEI), rifampicin/pyrazinamide/isoniazid (RPI), rifamycin (RFM), rifapentine (RFP), simvastatin/fenofibrate (SMF), sodium aminosalicylate (SDA), streptomycin/isoniazid (STI), terizidone (TRZ), thioacetazone (TAT), thioacetazone/isoniazid (THI1), tiocarlide (TCR), viomycin (VIO) betalactams() can select:  amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), aztreonam/nacubactam (ANC), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), biapenem (BIA), carbenicillin (CRB), carindacillin (CRN), cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefamandole (MAN), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/nacubactam (FNC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (CCL), cefetrizole (CZL), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), cefuroxime (CXM), cefuroxime axetil (CXA), cephradine (CED), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), doripenem (DOR), epicillin (EPC), ertapenem (ETP), flucloxacillin (FLC), hetacillin (HET), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), latamoxef (LTM), lenampicillin (LEN), loracarbef (LOR), mecillinam (MEC), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), metampicillin (MTM), meticillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), panipenem (PAN), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), pheneticillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), tebipenem (TBP), temocillin (TEM), ticarcillin (TIC), ticarcillin/clavulanic acid (TCC) carbapenems() can select:  biapenem (BIA), doripenem (DOR), ertapenem (ETP), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), panipenem (PAN), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), tebipenem (TBP) cephalosporins() can select:  cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefamandole (MAN), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (CCL), cefetrizole (CZL), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), cefuroxime (CXM), cefuroxime axetil (CXA), cephradine (CED), latamoxef (LTM), loracarbef (LOR) cephalosporins_1st() can select:  cefacetrile (CAC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefroxadine (CRD), ceftezole (CTL), cephradine (CED) cephalosporins_2nd() can select:  cefaclor (CEC), cefamandole (MAN), cefmetazole (CMZ), cefonicid (CID), ceforanide (CND), cefotetan (CTT), cefotiam (CTF), cefoxitin (FOX), cefoxitin screening (FOX1), cefprozil (CPR), cefuroxime (CXM), cefuroxime axetil (CXA), loracarbef (LOR) cephalosporins_3rd() can select:  cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefetamet (CAT), cefetamet pivoxil (CPI), cefixime (CFM), cefmenoxime (CMX), cefodizime (DIZ), cefoperazone (CFP), cefoperazone/sulbactam (CSL), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotiam hexetil (CHE), cefovecin (FOV), cefpimizole (CFZ), cefpiramide (CPM), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefsulodin (CFS), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), latamoxef (LTM) cephalosporins_4th() can select:  cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetecol (CCL), cefoselis (CSE), cefozopran (ZOP), cefpirome (CPO), cefquinome (CEQ) cephalosporins_5th() can select:  ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/tazobactam (CZT) fluoroquinolones() can select:  besifloxacin (BES), ciprofloxacin (CIP), clinafloxacin (CLX), danofloxacin (DAN), delafloxacin (DFX), difloxacin (DIF), enoxacin (ENX), enrofloxacin (ENR), finafloxacin (FIN), fleroxacin (FLE), garenoxacin (GRN), gatifloxacin (GAT), gemifloxacin (GEM), grepafloxacin (GRX), lascufloxacin (LSC), levofloxacin (LVX), levonadifloxacin (LND), lomefloxacin (LOM), marbofloxacin (MAR), metioxate (MXT), miloxacin (MIL), moxifloxacin (MFX), nadifloxacin (NAD), nifuroquine (NIF), norfloxacin (), ofloxacin (OFX), orbifloxacin (ORB), pazufloxacin (PAZ), pefloxacin (PEF), pradofloxacin (PRA), premafloxacin (PRX), prulifloxacin (PRU), rufloxacin (RFL), sarafloxacin (SAR), sitafloxacin (SIT), sparfloxacin (SPX), temafloxacin (TMX), tilbroquinol (TBQ), tioxacin (TXC), tosufloxacin (TFX), trovafloxacin (TVA) glycopeptides() can select:  avoparcin (AVO), dalbavancin (DAL), norvancomycin (NVA), oritavancin (ORI), ramoplanin (RAM), teicoplanin (TEC), teicoplanin-macromethod (TCM), telavancin (TLV), vancomycin (VAN), vancomycin-macromethod (VAM) lincosamides() can select:  acetylmidecamycin (ACM), acetylspiramycin (ASP), clindamycin (CLI), gamithromycin (GAM), kitasamycin (KIT), lincomycin (LIN), meleumycin (MEL), nafithromycin (ZWK), pirlimycin (PRL), primycin (PRM), solithromycin (SOL), tildipirosin (TIP), tilmicosin (TIL), tulathromycin (TUL), tylosin (TYL), tylvalosin (TYL1) lipoglycopeptides() can select:  dalbavancin (DAL), oritavancin (ORI), telavancin (TLV) macrolides() can select:  acetylmidecamycin (ACM), acetylspiramycin (ASP), azithromycin (AZM), clarithromycin (CLR), dirithromycin (DIR), erythromycin (ERY), flurithromycin (FLR1), gamithromycin (GAM), josamycin (JOS), kitasamycin (KIT), meleumycin (MEL), midecamycin (MID), miocamycin (MCM), nafithromycin (ZWK), oleandomycin (OLE), pirlimycin (PRL), primycin (PRM), rokitamycin (ROK), roxithromycin (RXT), solithromycin (SOL), spiramycin (SPI), telithromycin (TLT), tildipirosin (TIP), tilmicosin (TIL), troleandomycin (TRL), tulathromycin (TUL), tylosin (TYL), tylvalosin (TYL1) oxazolidinones() can select:  cadazolid (CDZ), cycloserine (CYC), linezolid (LNZ), tedizolid (TZD), thiacetazone (THA) penicillins() can select:  amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), aztreonam/nacubactam (ANC), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), carbenicillin (CRB), carindacillin (CRN), cefepime/nacubactam (FNC), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), epicillin (EPC), flucloxacillin (FLC), hetacillin (HET), lenampicillin (LEN), mecillinam (MEC), metampicillin (MTM), meticillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), pheneticillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), temocillin (TEM), ticarcillin (TIC), ticarcillin/clavulanic acid (TCC) polymyxins() can select:  colistin (COL), polymyxin B (PLB), polymyxin B/polysorbate 80 (POP) quinolones() can select:  besifloxacin (BES), cinoxacin (CIN), ciprofloxacin (CIP), clinafloxacin (CLX), danofloxacin (DAN), delafloxacin (DFX), difloxacin (DIF), enoxacin (ENX), enrofloxacin (ENR), finafloxacin (FIN), fleroxacin (FLE), flumequine (FLM), garenoxacin (GRN), gatifloxacin (GAT), gemifloxacin (GEM), grepafloxacin (GRX), lascufloxacin (LSC), levofloxacin (LVX), levonadifloxacin (LND), lomefloxacin (LOM), marbofloxacin (MAR), metioxate (MXT), miloxacin (MIL), moxifloxacin (MFX), nadifloxacin (NAD), nalidixic acid (NAL), nemonoxacin (NEM), nifuroquine (NIF), nitroxoline (NTR), norfloxacin (), ofloxacin (OFX), orbifloxacin (ORB), oxolinic acid (OXO), pazufloxacin (PAZ), pefloxacin (PEF), pipemidic acid (PPA), piromidic acid (PIR), pradofloxacin (PRA), premafloxacin (PRX), prulifloxacin (PRU), rosoxacin (ROS), rufloxacin (RFL), sarafloxacin (SAR), sitafloxacin (SIT), sparfloxacin (SPX), temafloxacin (TMX), tilbroquinol (TBQ), tioxacin (TXC), tosufloxacin (TFX), trovafloxacin (TVA) streptogramins() can select:  pristinamycin (PRI) quinupristin/dalfopristin (QDA) tetracyclines() can select:  cetocycline (CTO), chlortetracycline (CTE), clomocycline (CLM1), demeclocycline (DEM), doxycycline (DOX), eravacycline (ERV), lymecycline (LYM), metacycline (MTC), minocycline (MNO), omadacycline (OMC), oxytetracycline (OXY), penimepicycline (PNM1), rolitetracycline (RLT), sarecycline (SRC), tetracycline (TCY), tigecycline (TGC) trimethoprims() can select:  brodimoprim (BDP), sulfadiazine (SDI), sulfadiazine/tetroxoprim (SLT), sulfadiazine/trimethoprim (SLT1), sulfadimethoxine (SUD), sulfadimidine (SDM), sulfadimidine/trimethoprim (SLT2), sulfafurazole (SLF), sulfaisodimidine (SLF1), sulfalene (SLF2), sulfamazone (SZO), sulfamerazine (SLF3), sulfamerazine/trimethoprim (SLT3), sulfamethizole (SLF4), sulfamethoxazole (SMX), sulfamethoxypyridazine (SLF5), sulfametomidine (SLF6), sulfametoxydiazine (SLF7), sulfametrole/trimethoprim (SLT4), sulfamoxole (SLF8), sulfamoxole/trimethoprim (SLT5), sulfanilamide (SLF9), sulfaperin (SLF10), sulfaphenazole (SLF11), sulfapyridine (SLF12), sulfathiazole (SUT), sulfathiourea (SLF13), trimethoprim (TMP), trimethoprim/sulfamethoxazole (SXT) ureidopenicillins() can select:  azlocillin (AZL), mezlocillin (MEZ), piperacillin (PIP), piperacillin/tazobactam (TZP)","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"","code":"# `example_isolates` is a data set available in the AMR package. # See ?example_isolates. example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …   # Examples sections below are split into 'base R', 'dplyr', and 'data.table':   # base R ------------------------------------------------------------------  # select columns 'IPM' (imipenem) and 'MEM' (meropenem) example_isolates[, carbapenems()] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 2,000 × 2 #>    IPM   MEM   #>    <sir> <sir> #>  1 NA    NA    #>  2 NA    NA    #>  3 NA    NA    #>  4 NA    NA    #>  5 NA    NA    #>  6 NA    NA    #>  7 NA    NA    #>  8 NA    NA    #>  9 NA    NA    #> 10 NA    NA    #> # ℹ 1,990 more rows  # select columns 'mo', 'AMK', 'GEN', 'KAN' and 'TOB' example_isolates[, c(\"mo\", aminoglycosides())] #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 2,000 × 5 #>    mo           GEN   TOB   AMK   KAN   #>    <mo>         <sir> <sir> <sir> <sir> #>  1 B_ESCHR_COLI NA    NA    NA    NA    #>  2 B_ESCHR_COLI NA    NA    NA    NA    #>  3 B_STPHY_EPDR NA    NA    NA    NA    #>  4 B_STPHY_EPDR NA    NA    NA    NA    #>  5 B_STPHY_EPDR NA    NA    NA    NA    #>  6 B_STPHY_EPDR NA    NA    NA    NA    #>  7 B_STPHY_AURS NA    S     NA    NA    #>  8 B_STPHY_AURS NA    S     NA    NA    #>  9 B_STPHY_EPDR NA    NA    NA    NA    #> 10 B_STPHY_EPDR NA    NA    NA    NA    #> # ℹ 1,990 more rows  # select only antibiotic columns with DDDs for oral treatment example_isolates[, administrable_per_os()] #> ℹ For administrable_per_os() using columns 'OXA' (oxacillin), 'FLC' #>   (flucloxacillin), 'AMX' (amoxicillin), 'AMC' (amoxicillin/clavulanic acid), #>   'AMP' (ampicillin), 'CXM' (cefuroxime), 'KAN' (kanamycin), 'TMP' #>   (trimethoprim), 'NIT' (nitrofurantoin), 'FOS' (fosfomycin), 'LNZ' #>   (linezolid), 'CIP' (ciprofloxacin), 'MFX' (moxifloxacin), 'VAN' #>   (vancomycin), 'TCY' (tetracycline), 'DOX' (doxycycline), 'ERY' #>   (erythromycin), 'CLI' (clindamycin), 'AZM' (azithromycin), 'MTR' #>   (metronidazole), 'CHL' (chloramphenicol), 'COL' (colistin), and 'RIF' #>   (rifampicin) #> # A tibble: 2,000 × 23 #>    OXA   FLC   AMX   AMC   AMP   CXM   KAN   TMP   NIT   FOS   LNZ   CIP   MFX   #>    <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>  1 NA    NA    NA    I     NA    I     NA    R     NA    NA    R     NA    NA    #>  2 NA    NA    NA    I     NA    I     NA    R     NA    NA    R     NA    NA    #>  3 NA    R     NA    NA    NA    R     NA    S     NA    NA    NA    NA    NA    #>  4 NA    R     NA    NA    NA    R     NA    S     NA    NA    NA    NA    NA    #>  5 NA    R     NA    NA    NA    R     NA    R     NA    NA    NA    NA    NA    #>  6 NA    R     NA    NA    NA    R     NA    R     NA    NA    NA    NA    NA    #>  7 NA    S     R     S     R     S     NA    R     NA    NA    NA    NA    NA    #>  8 NA    S     R     S     R     S     NA    R     NA    NA    NA    NA    NA    #>  9 NA    R     NA    NA    NA    R     NA    S     NA    NA    NA    S     NA    #> 10 NA    S     NA    NA    NA    S     NA    S     NA    NA    NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 10 more variables: VAN <sir>, TCY <sir>, DOX <sir>, ERY <sir>, CLI <sir>, #> #   AZM <sir>, MTR <sir>, CHL <sir>, COL <sir>, RIF <sir>  # filter using any() or all() example_isolates[any(carbapenems() == \"R\"), ] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 55 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2004-06-09 529296     69 M      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  2 2004-06-09 529296     69 M      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  3 2004-11-03 D65308     80 F      ICU      B_STNTR_MLTP R     NA    NA    R     #>  4 2005-04-21 452212     82 F      ICU      B_ENTRC      NA    NA    NA    NA    #>  5 2005-04-22 452212     82 F      ICU      B_ENTRC      NA    NA    NA    NA    #>  6 2005-04-22 452212     82 F      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  7 2007-02-21 8BBC46     61 F      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  8 2007-12-15 401043     72 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  9 2008-01-22 1710B8     82 M      Clinical B_PROTS_MRBL R     NA    NA    NA    #> 10 2008-01-22 1710B8     82 M      Clinical B_PROTS_MRBL R     NA    NA    NA    #> # ℹ 45 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … subset(example_isolates, any(carbapenems() == \"R\")) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 55 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2004-06-09 529296     69 M      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  2 2004-06-09 529296     69 M      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  3 2004-11-03 D65308     80 F      ICU      B_STNTR_MLTP R     NA    NA    R     #>  4 2005-04-21 452212     82 F      ICU      B_ENTRC      NA    NA    NA    NA    #>  5 2005-04-22 452212     82 F      ICU      B_ENTRC      NA    NA    NA    NA    #>  6 2005-04-22 452212     82 F      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  7 2007-02-21 8BBC46     61 F      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  8 2007-12-15 401043     72 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  9 2008-01-22 1710B8     82 M      Clinical B_PROTS_MRBL R     NA    NA    NA    #> 10 2008-01-22 1710B8     82 M      Clinical B_PROTS_MRBL R     NA    NA    NA    #> # ℹ 45 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  # filter on any or all results in the carbapenem columns (i.e., IPM, MEM): example_isolates[any(carbapenems()), ] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ Filtering any of columns 'IPM' and 'MEM' to contain value \"S\", \"I\" or \"R\" #> # A tibble: 962 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  4 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  5 2002-02-05 067927     45 F      ICU      B_SERRT_MRCS R     NA    NA    R     #>  6 2002-02-05 067927     45 F      ICU      B_SERRT_MRCS R     NA    NA    R     #>  7 2002-02-05 067927     45 F      ICU      B_SERRT_MRCS R     NA    NA    R     #>  8 2002-02-27 066895     85 F      Clinical B_KLBSL_PNMN R     NA    NA    R     #>  9 2002-02-27 066895     85 F      Clinical B_KLBSL_PNMN R     NA    NA    R     #> 10 2002-03-08 4FC193     69 M      Clinical B_ESCHR_COLI R     NA    NA    R     #> # ℹ 952 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … example_isolates[all(carbapenems()), ] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ Filtering all of columns 'IPM' and 'MEM' to contain value \"S\", \"I\" or \"R\" #> # A tibble: 756 × 46 #>    date       patient   age gender ward    mo            PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>   <mo>          <sir> <sir> <sir> <sir> #>  1 2002-04-14 F30196     73 M      Outpat… B_STRPT_GRPB  S     NA    S     S     #>  2 2003-04-08 114570     74 M      ICU     B_STRPT_PYGN  S     NA    S     S     #>  3 2003-04-08 114570     74 M      ICU     B_STRPT_GRPA  S     NA    S     S     #>  4 2003-04-08 114570     74 M      ICU     B_STRPT_GRPA  S     NA    S     S     #>  5 2003-08-14 F71508      0 F      Clinic… B_STRPT_GRPB  S     NA    S     S     #>  6 2003-10-16 650870     63 F      ICU     B_ESCHR_COLI  R     NA    NA    R     #>  7 2003-10-20 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #>  8 2003-10-20 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #>  9 2003-11-04 2FC253     87 F      ICU     B_ESCHR_COLI  R     NA    NA    NA    #> 10 2003-11-04 2FC253     87 F      ICU     B_ESCHR_COLI  R     NA    NA    NA    #> # ℹ 746 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  # filter with multiple antibiotic selectors using c() example_isolates[all(c(carbapenems(), aminoglycosides()) == \"R\"), ] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 26 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2004-11-03 D65308     80 F      ICU      B_STNTR_MLTP R     NA    NA    R     #>  2 2005-04-22 452212     82 F      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  3 2007-02-21 8BBC46     61 F      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  4 2007-12-15 401043     72 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  5 2008-12-06 501361     43 F      Clinical B_STNTR_MLTP R     NA    NA    R     #>  6 2011-05-09 207325     82 F      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  7 2012-03-12 582258     80 M      ICU      B_STPHY_CONS R     R     R     R     #>  8 2012-05-19 C25552     89 F      Outpati… B_STPHY_CONS R     R     R     R     #>  9 2012-07-17 F05015     83 M      ICU      B_STPHY_CONS R     R     R     R     #> 10 2012-07-20 404299     66 F      Clinical B_STPHY_CONS R     R     R     R     #> # ℹ 16 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  # filter + select in one go: get penicillins in carbapenem-resistant strains example_isolates[any(carbapenems() == \"R\"), penicillins()] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ For penicillins() using columns 'PEN' (benzylpenicillin), 'OXA' #>   (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC' #>   (amoxicillin/clavulanic acid), 'AMP' (ampicillin), and 'TZP' #>   (piperacillin/tazobactam) #> # A tibble: 55 × 7 #>    PEN   OXA   FLC   AMX   AMC   AMP   TZP   #>    <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>  1 NA    NA    NA    NA    NA    NA    NA    #>  2 NA    NA    NA    NA    NA    NA    NA    #>  3 R     NA    NA    R     R     R     R     #>  4 NA    NA    NA    NA    NA    NA    R     #>  5 NA    NA    NA    NA    NA    NA    R     #>  6 NA    NA    NA    NA    NA    NA    R     #>  7 NA    NA    NA    NA    NA    NA    R     #>  8 NA    NA    NA    NA    NA    NA    R     #>  9 R     NA    NA    NA    S     NA    S     #> 10 R     NA    NA    NA    S     NA    S     #> # ℹ 45 more rows  # You can combine selectors with '&' to be more specific. For example, # penicillins() would select benzylpenicillin ('peni G') and # administrable_per_os() would select erythromycin. Yet, when combined these # drugs are both omitted since benzylpenicillin is not administrable per os # and erythromycin is not a penicillin: example_isolates[, penicillins() & administrable_per_os()] #> ℹ For penicillins() using columns 'PEN' (benzylpenicillin), 'OXA' #>   (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC' #>   (amoxicillin/clavulanic acid), 'AMP' (ampicillin), and 'TZP' #>   (piperacillin/tazobactam) #> ℹ For administrable_per_os() using columns 'OXA' (oxacillin), 'FLC' #>   (flucloxacillin), 'AMX' (amoxicillin), 'AMC' (amoxicillin/clavulanic acid), #>   'AMP' (ampicillin), 'CXM' (cefuroxime), 'KAN' (kanamycin), 'TMP' #>   (trimethoprim), 'NIT' (nitrofurantoin), 'FOS' (fosfomycin), 'LNZ' #>   (linezolid), 'CIP' (ciprofloxacin), 'MFX' (moxifloxacin), 'VAN' #>   (vancomycin), 'TCY' (tetracycline), 'DOX' (doxycycline), 'ERY' #>   (erythromycin), 'CLI' (clindamycin), 'AZM' (azithromycin), 'MTR' #>   (metronidazole), 'CHL' (chloramphenicol), 'COL' (colistin), and 'RIF' #>   (rifampicin) #> # A tibble: 2,000 × 5 #>    OXA   FLC   AMX   AMC   AMP   #>    <sir> <sir> <sir> <sir> <sir> #>  1 NA    NA    NA    I     NA    #>  2 NA    NA    NA    I     NA    #>  3 NA    R     NA    NA    NA    #>  4 NA    R     NA    NA    NA    #>  5 NA    R     NA    NA    NA    #>  6 NA    R     NA    NA    NA    #>  7 NA    S     R     S     R     #>  8 NA    S     R     S     R     #>  9 NA    R     NA    NA    NA    #> 10 NA    S     NA    NA    NA    #> # ℹ 1,990 more rows  # ab_selector() applies a filter in the `antibiotics` data set and is thus # very flexible. For instance, to select antibiotic columns with an oral DDD # of at least 1 gram: example_isolates[, ab_selector(oral_ddd > 1 & oral_units == \"g\")] #> ℹ For ab_selector(oral_ddd > 1 & oral_units == \"g\") using columns 'OXA' #>   (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC' #>   (amoxicillin/clavulanic acid), 'AMP' (ampicillin), 'KAN' (kanamycin), 'FOS' #>   (fosfomycin), 'LNZ' (linezolid), 'VAN' (vancomycin), 'ERY' (erythromycin), #>   'CLI' (clindamycin), 'MTR' (metronidazole), and 'CHL' (chloramphenicol) #> # A tibble: 2,000 × 13 #>    OXA   FLC   AMX   AMC   AMP   KAN   FOS   LNZ   VAN   ERY   CLI   MTR   CHL   #>    <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>  1 NA    NA    NA    I     NA    NA    NA    R     R     R     R     NA    NA    #>  2 NA    NA    NA    I     NA    NA    NA    R     R     R     R     NA    NA    #>  3 NA    R     NA    NA    NA    NA    NA    NA    S     R     NA    NA    NA    #>  4 NA    R     NA    NA    NA    NA    NA    NA    S     R     NA    NA    NA    #>  5 NA    R     NA    NA    NA    NA    NA    NA    S     R     NA    NA    NA    #>  6 NA    R     NA    NA    NA    NA    NA    NA    S     R     R     NA    NA    #>  7 NA    S     R     S     R     NA    NA    NA    S     S     NA    NA    NA    #>  8 NA    S     R     S     R     NA    NA    NA    S     S     NA    NA    NA    #>  9 NA    R     NA    NA    NA    NA    NA    NA    S     R     NA    NA    NA    #> 10 NA    S     NA    NA    NA    NA    NA    NA    S     S     NA    NA    NA    #> # ℹ 1,990 more rows  # \\donttest{ # dplyr -------------------------------------------------------------------  if (require(\"dplyr\")) {   tibble(kefzol = random_sir(5)) %>%     select(cephalosporins()) } #> ℹ For cephalosporins() using column 'kefzol' (cefazolin) #> # A tibble: 5 × 1 #>   kefzol #>   <sir>  #> 1 S      #> 2 R      #> 3 S      #> 4 S      #> 5 I       if (require(\"dplyr\")) {   # get AMR for all aminoglycosides e.g., per ward:   example_isolates %>%     group_by(ward) %>%     summarise(across(aminoglycosides(), resistance)) } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> Warning: There was 1 warning in `summarise()`. #> ℹ In argument: `across(aminoglycosides(), resistance)`. #> ℹ In group 3: `ward = \"Outpatient\"`. #> Caused by warning: #> ! Introducing NA: only 23 results available for KAN in group: ward = #> \"Outpatient\" (minimum = 30). #> # A tibble: 3 × 5 #>   ward         GEN   TOB   AMK   KAN #>   <chr>      <dbl> <dbl> <dbl> <dbl> #> 1 Clinical   0.229 0.315 0.626     1 #> 2 ICU        0.290 0.400 0.662     1 #> 3 Outpatient 0.2   0.368 0.605    NA if (require(\"dplyr\")) {   # You can combine selectors with '&' to be more specific:   example_isolates %>%     select(penicillins() & administrable_per_os()) } #> ℹ For penicillins() using columns 'PEN' (benzylpenicillin), 'OXA' #>   (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC' #>   (amoxicillin/clavulanic acid), 'AMP' (ampicillin), and 'TZP' #>   (piperacillin/tazobactam) #> ℹ For administrable_per_os() using columns 'OXA' (oxacillin), 'FLC' #>   (flucloxacillin), 'AMX' (amoxicillin), 'AMC' (amoxicillin/clavulanic acid), #>   'AMP' (ampicillin), 'CXM' (cefuroxime), 'KAN' (kanamycin), 'TMP' #>   (trimethoprim), 'NIT' (nitrofurantoin), 'FOS' (fosfomycin), 'LNZ' #>   (linezolid), 'CIP' (ciprofloxacin), 'MFX' (moxifloxacin), 'VAN' #>   (vancomycin), 'TCY' (tetracycline), 'DOX' (doxycycline), 'ERY' #>   (erythromycin), 'CLI' (clindamycin), 'AZM' (azithromycin), 'MTR' #>   (metronidazole), 'CHL' (chloramphenicol), 'COL' (colistin), and 'RIF' #>   (rifampicin) #> # A tibble: 2,000 × 5 #>    OXA   FLC   AMX   AMC   AMP   #>    <sir> <sir> <sir> <sir> <sir> #>  1 NA    NA    NA    I     NA    #>  2 NA    NA    NA    I     NA    #>  3 NA    R     NA    NA    NA    #>  4 NA    R     NA    NA    NA    #>  5 NA    R     NA    NA    NA    #>  6 NA    R     NA    NA    NA    #>  7 NA    S     R     S     R     #>  8 NA    S     R     S     R     #>  9 NA    R     NA    NA    NA    #> 10 NA    S     NA    NA    NA    #> # ℹ 1,990 more rows if (require(\"dplyr\")) {   # get AMR for only drugs that matter - no intrinsic resistance:   example_isolates %>%     filter(mo_genus() %in% c(\"Escherichia\", \"Klebsiella\")) %>%     group_by(ward) %>%     summarise(across(not_intrinsic_resistant(), resistance)) } #> ℹ Using column 'mo' as input for mo_genus() #> ℹ For not_intrinsic_resistant() removing columns 'PEN' #>   (benzylpenicillin), 'LNZ' (linezolid), 'VAN' (vancomycin), 'TEC' #>   (teicoplanin), 'ERY' (erythromycin), 'CLI' (clindamycin), 'AZM' #>   (azithromycin), and 'RIF' (rifampicin) #> Warning: There were 52 warnings in `summarise()`. #> The first warning was: #> ℹ In argument: `across(not_intrinsic_resistant(), resistance)`. #> ℹ In group 1: `ward = \"Clinical\"`. #> Caused by warning: #> ! Introducing NA: no results available for OXA in group: ward = \"Clinical\" #> (minimum = 30). #> ℹ Run `dplyr::last_dplyr_warnings()` to see the 51 remaining warnings. #> # A tibble: 3 × 33 #>   ward    OXA   FLC    AMX    AMC    AMP     TZP     CZO     FEP     CXM     FOX #>   <chr> <dbl> <dbl>  <dbl>  <dbl>  <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl> #> 1 Clin…    NA    NA  0.606  0.121  0.606  0.0504  0.0656  0.0159  0.0622  0.0648 #> 2 ICU      NA    NA  0.535  0.172  0.535  0.119  NA       0.0722  0.0828  0.0992 #> 3 Outp…    NA    NA NA     NA     NA     NA      NA      NA      NA      NA      #> # ℹ 22 more variables: CTX <dbl>, CAZ <dbl>, CRO <dbl>, GEN <dbl>, TOB <dbl>, #> #   AMK <dbl>, KAN <dbl>, TMP <dbl>, SXT <dbl>, NIT <dbl>, FOS <dbl>, #> #   CIP <dbl>, MFX <dbl>, TCY <dbl>, TGC <dbl>, DOX <dbl>, IPM <dbl>, #> #   MEM <dbl>, MTR <dbl>, CHL <dbl>, COL <dbl>, MUP <dbl> if (require(\"dplyr\")) {   # get susceptibility for antibiotics whose name contains \"trim\":   example_isolates %>%     filter(first_isolate()) %>%     group_by(ward) %>%     summarise(across(ab_selector(name %like% \"trim\"), susceptibility)) } #> ℹ For ab_selector(name %like% \"trim\") using columns 'TMP' (trimethoprim) #>   and 'SXT' (trimethoprim/sulfamethoxazole) #> # A tibble: 3 × 3 #>   ward         TMP   SXT #>   <chr>      <dbl> <dbl> #> 1 Clinical   0.627 0.807 #> 2 ICU        0.551 0.780 #> 3 Outpatient 0.667 0.821 if (require(\"dplyr\")) {   # this will select columns 'IPM' (imipenem) and 'MEM' (meropenem):   example_isolates %>%     select(carbapenems()) } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 2,000 × 2 #>    IPM   MEM   #>    <sir> <sir> #>  1 NA    NA    #>  2 NA    NA    #>  3 NA    NA    #>  4 NA    NA    #>  5 NA    NA    #>  6 NA    NA    #>  7 NA    NA    #>  8 NA    NA    #>  9 NA    NA    #> 10 NA    NA    #> # ℹ 1,990 more rows if (require(\"dplyr\")) {   # this will select columns 'mo', 'AMK', 'GEN', 'KAN' and 'TOB':   example_isolates %>%     select(mo, aminoglycosides()) } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 2,000 × 5 #>    mo           GEN   TOB   AMK   KAN   #>    <mo>         <sir> <sir> <sir> <sir> #>  1 B_ESCHR_COLI NA    NA    NA    NA    #>  2 B_ESCHR_COLI NA    NA    NA    NA    #>  3 B_STPHY_EPDR NA    NA    NA    NA    #>  4 B_STPHY_EPDR NA    NA    NA    NA    #>  5 B_STPHY_EPDR NA    NA    NA    NA    #>  6 B_STPHY_EPDR NA    NA    NA    NA    #>  7 B_STPHY_AURS NA    S     NA    NA    #>  8 B_STPHY_AURS NA    S     NA    NA    #>  9 B_STPHY_EPDR NA    NA    NA    NA    #> 10 B_STPHY_EPDR NA    NA    NA    NA    #> # ℹ 1,990 more rows if (require(\"dplyr\")) {   # any() and all() work in dplyr's filter() too:   example_isolates %>%     filter(       any(aminoglycosides() == \"R\"),       all(cephalosporins_2nd() == \"R\")     ) } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For cephalosporins_2nd() using columns 'CXM' (cefuroxime) and 'FOX' #>   (cefoxitin) #> # A tibble: 112 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-02-21 4FC193     69 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  2 2002-03-16 4FC193     69 M      Clinical B_PSDMN_AERG R     NA    NA    R     #>  3 2002-04-08 130252     78 M      ICU      B_ENTRC_FCLS NA    NA    NA    NA    #>  4 2002-06-23 798871     82 M      Clinical B_ENTRC_FCLS NA    NA    NA    NA    #>  5 2002-06-23 798871     82 M      Clinical B_ENTRC_FCLS NA    NA    NA    NA    #>  6 2002-07-21 955940     82 F      Clinical B_PSDMN_AERG R     NA    NA    R     #>  7 2002-07-21 955940     82 F      Clinical B_PSDMN_AERG R     NA    NA    R     #>  8 2003-08-13 F35553     52 M      ICU      B_ENTRC_FCLS NA    NA    NA    NA    #>  9 2003-09-05 F35553     52 M      ICU      B_ENTRC_FCLS NA    NA    NA    NA    #> 10 2004-06-09 529296     69 M      ICU      B_ENTRC_FACM NA    NA    NA    NA    #> # ℹ 102 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … if (require(\"dplyr\")) {   # also works with c():   example_isolates %>%     filter(any(c(carbapenems(), aminoglycosides()) == \"R\")) } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 531 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-02-21 4FC193     69 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  2 2002-03-16 4FC193     69 M      Clinical B_PSDMN_AERG R     NA    NA    R     #>  3 2002-03-17 B30560     78 M      Clinical B_STPHY_CONS R     NA    R     R     #>  4 2002-04-04 E61143     67 M      Clinical B_STRPT_SNGN S     NA    NA    S     #>  5 2002-04-08 130252     78 M      ICU      B_ENTRC_FCLS NA    NA    NA    NA    #>  6 2002-04-14 F30196     73 M      Outpati… B_STRPT_GRPB S     NA    S     S     #>  7 2002-05-07 D91570     83 M      Clinical B_STPHY_CONS R     NA    R     R     #>  8 2002-05-07 D91570     83 M      Clinical B_STPHY_CONS R     NA    R     R     #>  9 2002-05-14 077552     86 F      Clinical B_STRPT_PNMN S     NA    NA    S     #> 10 2002-05-14 077552     86 F      Clinical B_STRPT_PNMN S     NA    NA    S     #> # ℹ 521 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … if (require(\"dplyr\")) {   # not setting any/all will automatically apply all():   example_isolates %>%     filter(aminoglycosides() == \"R\") } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ Assuming a filter on all 4 aminoglycosides. Wrap around all() or #>   any() to prevent this note. #> # A tibble: 427 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-02-21 4FC193     69 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  2 2002-03-17 B30560     78 M      Clinical B_STPHY_CONS R     NA    R     R     #>  3 2002-04-04 E61143     67 M      Clinical B_STRPT_SNGN S     NA    NA    S     #>  4 2002-04-08 130252     78 M      ICU      B_ENTRC_FCLS NA    NA    NA    NA    #>  5 2002-04-14 F30196     73 M      Outpati… B_STRPT_GRPB S     NA    S     S     #>  6 2002-05-07 D91570     83 M      Clinical B_STPHY_CONS R     NA    R     R     #>  7 2002-05-07 D91570     83 M      Clinical B_STPHY_CONS R     NA    R     R     #>  8 2002-05-14 077552     86 F      Clinical B_STRPT_PNMN S     NA    NA    S     #>  9 2002-05-14 077552     86 F      Clinical B_STRPT_PNMN S     NA    NA    S     #> 10 2002-05-16 D25302     65 F      ICU      B_STRPT_ANGN S     NA    NA    S     #> # ℹ 417 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … if (require(\"dplyr\")) {   # this will select columns 'mo' and all antimycobacterial drugs ('RIF'):   example_isolates %>%     select(mo, ab_class(\"mycobact\")) } #> ℹ For ab_class(\"mycobact\") using column 'RIF' (rifampicin) #> # A tibble: 2,000 × 2 #>    mo           RIF   #>    <mo>         <sir> #>  1 B_ESCHR_COLI R     #>  2 B_ESCHR_COLI R     #>  3 B_STPHY_EPDR NA    #>  4 B_STPHY_EPDR NA    #>  5 B_STPHY_EPDR NA    #>  6 B_STPHY_EPDR NA    #>  7 B_STPHY_AURS NA    #>  8 B_STPHY_AURS NA    #>  9 B_STPHY_EPDR NA    #> 10 B_STPHY_EPDR NA    #> # ℹ 1,990 more rows if (require(\"dplyr\")) {   # get bug/drug combinations for only glycopeptides in Gram-positives:   example_isolates %>%     filter(mo_is_gram_positive()) %>%     select(mo, glycopeptides()) %>%     bug_drug_combinations() %>%     format() } #> ℹ Using column 'mo' as input for mo_is_gram_positive() #> ℹ For glycopeptides() using columns 'VAN' (vancomycin) and 'TEC' #>   (teicoplanin) #> # A tibble: 2 × 8 #>   Group      Drug  CoNS  `E. faecalis` `S. aureus` `S. epidermidis` `S. hominis` #>   <chr>      <chr> <chr> <chr>         <chr>       <chr>            <chr>        #> 1 \"Glycopep… Teic… \"\"    \"\"            \" 0.0% (0/… \"64.1% (25/39)\"  \" 6.8% (4/5… #> 2 \"\"         Vanc… \" 0.… \" 0.0% (0/39… \" 0.0% (0/… \" 0.0% (0/171)\"  \" 0.0% (0/8… #> # ℹ 1 more variable: `S. pneumoniae` <chr> if (require(\"dplyr\")) {   data.frame(     some_column = \"some_value\",     J01CA01 = \"S\"   ) %>% # ATC code of ampicillin     select(penicillins()) # only the 'J01CA01' column will be selected } #> ℹ For penicillins() using column 'J01CA01' (ampicillin) #>   J01CA01 #> 1       S if (require(\"dplyr\")) {   # with recent versions of dplyr, this is all equal:   x <- example_isolates[carbapenems() == \"R\", ]   y <- example_isolates %>% filter(carbapenems() == \"R\")   z <- example_isolates %>% filter(if_all(carbapenems(), ~ .x == \"R\"))   identical(x, y) && identical(y, z) } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ Assuming a filter on all 2 carbapenems. Wrap around all() or any() to #>   prevent this note. #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ Assuming a filter on all 2 carbapenems. Wrap around all() or any() to #>   prevent this note. #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> [1] TRUE   # data.table --------------------------------------------------------------  # data.table is supported as well, just use it in the same way as with # base R, but add `with = FALSE` if using a single AB selector.  if (require(\"data.table\")) {   dt <- as.data.table(example_isolates)    # this does not work, it returns column *names*   dt[, carbapenems()] } #> Loading required package: data.table #>  #> Attaching package: ‘data.table’ #> The following objects are masked from ‘package:dplyr’: #>  #>     between, first, last #> The following objects are masked from ‘package:AMR’: #>  #>     %like%, like #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> [1] \"IPM\" \"MEM\" #> attr(,\"class\") #> [1] \"ab_selector\" \"character\"   if (require(\"data.table\")) {   # so `with = FALSE` is required   dt[, carbapenems(), with = FALSE] } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #>         IPM   MEM #>       <sir> <sir> #>    1:  <NA>  <NA> #>    2:  <NA>  <NA> #>    3:  <NA>  <NA> #>    4:  <NA>  <NA> #>    5:  <NA>  <NA> #>   ---             #> 1996:  <NA>  <NA> #> 1997:     S     S #> 1998:     S     S #> 1999:     S     S #> 2000:     S     S  # for multiple selections or AB selectors, `with = FALSE` is not needed: if (require(\"data.table\")) {   dt[, c(\"mo\", aminoglycosides())] } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #>                 mo   GEN   TOB   AMK   KAN #>               <mo> <sir> <sir> <sir> <sir> #>    1: B_ESCHR_COLI  <NA>  <NA>  <NA>  <NA> #>    2: B_ESCHR_COLI  <NA>  <NA>  <NA>  <NA> #>    3: B_STPHY_EPDR  <NA>  <NA>  <NA>  <NA> #>    4: B_STPHY_EPDR  <NA>  <NA>  <NA>  <NA> #>    5: B_STPHY_EPDR  <NA>  <NA>  <NA>  <NA> #>   ---                                      #> 1996: B_STRPT_PNMN     R     R     R     R #> 1997: B_ESCHR_COLI     S     S     S  <NA> #> 1998: B_STPHY_CONS     S  <NA>  <NA>  <NA> #> 1999: B_ESCHR_COLI     S     S  <NA>  <NA> #> 2000: B_KLBSL_PNMN     S     S  <NA>  <NA> if (require(\"data.table\")) {   dt[, c(carbapenems(), aminoglycosides())] } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #>         IPM   MEM   GEN   TOB   AMK   KAN #>       <sir> <sir> <sir> <sir> <sir> <sir> #>    1:  <NA>  <NA>  <NA>  <NA>  <NA>  <NA> #>    2:  <NA>  <NA>  <NA>  <NA>  <NA>  <NA> #>    3:  <NA>  <NA>  <NA>  <NA>  <NA>  <NA> #>    4:  <NA>  <NA>  <NA>  <NA>  <NA>  <NA> #>    5:  <NA>  <NA>  <NA>  <NA>  <NA>  <NA> #>   ---                                     #> 1996:  <NA>  <NA>     R     R     R     R #> 1997:     S     S     S     S     S  <NA> #> 1998:     S     S     S  <NA>  <NA>  <NA> #> 1999:     S     S     S     S  <NA>  <NA> #> 2000:     S     S     S     S  <NA>  <NA>  # row filters are also supported: if (require(\"data.table\")) {   dt[any(carbapenems() == \"S\"), ] } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #>            date patient   age gender       ward           mo   PEN   OXA   FLC #>          <Date>  <char> <num> <char>     <char>         <mo> <sir> <sir> <sir> #>   1: 2002-01-19  738003    71      M   Clinical B_ESCHR_COLI     R  <NA>  <NA> #>   2: 2002-01-19  738003    71      M   Clinical B_ESCHR_COLI     R  <NA>  <NA> #>   3: 2002-01-22  F35553    50      M        ICU B_PROTS_MRBL     R  <NA>  <NA> #>   4: 2002-01-22  F35553    50      M        ICU B_PROTS_MRBL     R  <NA>  <NA> #>   5: 2002-02-05  067927    45      F        ICU B_SERRT_MRCS     R  <NA>  <NA> #>  ---                                                                           #> 905: 2005-04-12  D71461    70      M        ICU B_ESCHR_COLI     R  <NA>  <NA> #> 906: 2009-11-12  650870    69      F Outpatient B_ESCHR_COLI     R  <NA>  <NA> #> 907: 2012-06-14  8CBCF2    41      F   Clinical B_STPHY_CONS     R     S     S #> 908: 2012-10-11  175532    78      M   Clinical B_ESCHR_COLI     R  <NA>  <NA> #> 909: 2013-11-23  A97263    77      M   Clinical B_KLBSL_PNMN     R  <NA>  <NA> #>        AMX   AMC   AMP   TZP   CZO   FEP   CXM   FOX   CTX   CAZ   CRO   GEN #>      <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>   1:  <NA>     I  <NA>  <NA>  <NA>  <NA>     S  <NA>     S  <NA>     S  <NA> #>   2:  <NA>     I  <NA>  <NA>  <NA>  <NA>     S  <NA>     S  <NA>     S  <NA> #>   3:  <NA>     I  <NA>  <NA>  <NA>  <NA>     S  <NA>     S     S     S  <NA> #>   4:  <NA>     I  <NA>  <NA>  <NA>  <NA>     S  <NA>     S     S     S  <NA> #>   5:     R     R     R  <NA>     R  <NA>     R     R  <NA>  <NA>  <NA>  <NA> #>  ---                                                                         #> 905:     S     S     S     S  <NA>     S     S     S     S     S     S     S #> 906:     S     S     S     S     S     S     S     S     S     S     S     S #> 907:  <NA>     S  <NA>  <NA>     S     S     S     S     S     R     S     S #> 908:     R     S     R     S  <NA>     S     R     R     S     S     S     S #> 909:     R     S     R     S  <NA>     S     S     S     S     S     S     S #>        TOB   AMK   KAN   TMP   SXT   NIT   FOS   LNZ   CIP   MFX   VAN   TEC #>      <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>   1:     S  <NA>  <NA>     S     S  <NA>  <NA>     R  <NA>  <NA>     R     R #>   2:     S  <NA>  <NA>     S     S  <NA>  <NA>     R  <NA>  <NA>     R     R #>   3:  <NA>  <NA>  <NA>     S     S     R  <NA>     R     S  <NA>     R     R #>   4:  <NA>  <NA>  <NA>     S     S     R  <NA>     R     S  <NA>     R     R #>   5:  <NA>  <NA>  <NA>     S     S     R  <NA>     R     S  <NA>     R     R #>  ---                                                                         #> 905:     S     S  <NA>  <NA>     S     S  <NA>     R     S  <NA>     R     R #> 906:     S     S  <NA>     S     S     S  <NA>     R     S  <NA>     R     R #> 907:  <NA>  <NA>  <NA>     S     S  <NA>  <NA>  <NA>     S  <NA>     S  <NA> #> 908:     S  <NA>  <NA>     R     R     R  <NA>     R     R     R     R     R #> 909:     S  <NA>  <NA>     S     S     S  <NA>     R     S  <NA>     R     R #>        TCY   TGC   DOX   ERY   CLI   AZM   IPM   MEM   MTR   CHL   COL   MUP #>      <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>   1:  <NA>  <NA>  <NA>     R     R     R     S  <NA>  <NA>  <NA>  <NA>  <NA> #>   2:  <NA>  <NA>  <NA>     R     R     R     S  <NA>  <NA>  <NA>  <NA>  <NA> #>   3:     R     R     R     R     R     R     S  <NA>  <NA>  <NA>     R  <NA> #>   4:     R     R     R     R     R     R     S  <NA>  <NA>  <NA>     R  <NA> #>   5:     R     R     R     R     R     R     S  <NA>  <NA>  <NA>     R  <NA> #>  ---                                                                         #> 905:  <NA>  <NA>  <NA>     R     R     R     S     S  <NA>  <NA>  <NA>  <NA> #> 906:  <NA>  <NA>  <NA>     R     R     R     S     S  <NA>  <NA>  <NA>  <NA> #> 907:  <NA>  <NA>  <NA>     S     S     S     S     S  <NA>  <NA>     R  <NA> #> 908:  <NA>  <NA>  <NA>     R     R     R     S     S  <NA>  <NA>     S  <NA> #> 909:  <NA>  <NA>  <NA>     R     R     R     S     S  <NA>  <NA>     S  <NA> #>        RIF #>      <sir> #>   1:     R #>   2:     R #>   3:     R #>   4:     R #>   5:     R #>  ---       #> 905:     R #> 906:     R #> 907:  <NA> #> 908:     R #> 909:     R if (require(\"data.table\")) {   dt[any(carbapenems() == \"S\"), penicillins(), with = FALSE] } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ For penicillins() using columns 'PEN' (benzylpenicillin), 'OXA' #>   (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC' #>   (amoxicillin/clavulanic acid), 'AMP' (ampicillin), and 'TZP' #>   (piperacillin/tazobactam) #>        PEN   OXA   FLC   AMX   AMC   AMP   TZP #>      <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>   1:     R  <NA>  <NA>  <NA>     I  <NA>  <NA> #>   2:     R  <NA>  <NA>  <NA>     I  <NA>  <NA> #>   3:     R  <NA>  <NA>  <NA>     I  <NA>  <NA> #>   4:     R  <NA>  <NA>  <NA>     I  <NA>  <NA> #>   5:     R  <NA>  <NA>     R     R     R  <NA> #>  ---                                           #> 905:     R  <NA>  <NA>     S     S     S     S #> 906:     R  <NA>  <NA>     S     S     S     S #> 907:     R     S     S  <NA>     S  <NA>  <NA> #> 908:     R  <NA>  <NA>     R     S     R     S #> 909:     R  <NA>  <NA>     R     S     R     S # }"},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Sets with 603 Antimicrobial Drugs — antibiotics","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"Two data sets containing antibiotics/antimycotics antivirals. Use .ab() one ab_* functions retrieve values antibiotics data set. Three identifiers included data set: antibiotic ID (ab, primarily used package) defined WHONET/EARS-Net, ATC code (atc) defined , Compound ID (cid) found PubChem. properties data set derived one codes. Note drugs multiple ATC codes.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"","code":"antibiotics  antivirals"},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"object class tbl_df (inherits tbl, data.frame) 120 rows 11 columns.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"for-the-antibiotics-data-set-a-tibble-with-observations-and-variables-","dir":"Reference","previous_headings":"","what":"For the antibiotics data set: a tibble with 483 observations and 14 variables:","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"ab Antibiotic ID used package (AMC), using official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes available. unique identifier. cid Compound ID found PubChem. unique identifier. name Official name used WHONET/EARS-Net . unique identifier. group short concise group name, based WHONET WHOCC definitions atc ATC codes (Anatomical Therapeutic Chemical) defined WHOCC, like J01CR02 atc_group1 Official pharmacological subgroup (3rd level ATC code) defined WHOCC, like \"Macrolides, lincosamides streptogramins\" atc_group2 Official chemical subgroup (4th level ATC code) defined WHOCC, like \"Macrolides\" abbr List abbreviations used many countries, also antibiotic susceptibility testing (AST) synonyms Synonyms (often trade names) drug, found PubChem based compound ID oral_ddd Defined Daily Dose (DDD), oral treatment, currently available 179 drugs oral_units Units oral_ddd iv_ddd Defined Daily Dose (DDD), parenteral (intravenous) treatment, currently available 153 drugs iv_units Units iv_ddd loinc codes associated name antimicrobial drug Logical Observation Identifiers Names Codes (LOINC), Version 2.76 (18 September, 2023). Use ab_loinc() retrieve quickly, see ab_property().","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"for-the-antivirals-data-set-a-tibble-with-observations-and-variables-","dir":"Reference","previous_headings":"","what":"For the antivirals data set: a tibble with 120 observations and 11 variables:","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"av Antiviral ID used package (ACI), using official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes available. unique identifier. Combinations codes contain + indicate , ATA+COBI atazanavir/cobicistat. name Official name used WHONET/EARS-Net . unique identifier. atc ATC codes (Anatomical Therapeutic Chemical) defined WHOCC cid Compound ID found PubChem. unique identifier. atc_group Official pharmacological subgroup (3rd level ATC code) defined WHOCC synonyms Synonyms (often trade names) drug, found PubChem based compound ID oral_ddd Defined Daily Dose (DDD), oral treatment oral_units Units oral_ddd iv_ddd Defined Daily Dose (DDD), parenteral treatment iv_units Units iv_ddd loinc codes associated name antiviral drug Logical Observation Identifiers Names Codes (LOINC), Version 2.76 (18 September, 2023). Use av_loinc() retrieve quickly, see av_property().","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"World Health Organization () Collaborating Centre Drug Statistics Methodology (WHOCC): https://www.whocc./atc_ddd_index/ Logical Observation Identifiers Names Codes (LOINC), Version 2.76 (18 September, 2023). Accessed https://loinc.org October 19th, 2023. European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"Properties based ATC code available ATC available. properties : atc_group1, atc_group2, oral_ddd, oral_units, iv_ddd iv_units. Synonyms (.e. trade names) derived PubChem Compound ID (column cid) consequently available CID available.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"direct-download","dir":"Reference","previous_headings":"","what":"Direct download","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"Like data sets package, data sets publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"whocc","dir":"Reference","previous_headings":"","what":"WHOCC","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"package contains ~550 antibiotic, antimycotic antiviral drugs Anatomical Therapeutic Chemical (ATC) codes, ATC groups Defined Daily Dose (DDD) World Health Organization Collaborating Centre Drug Statistics Methodology (WHOCC, https://www.whocc.) Pharmaceuticals Community Register European Commission (https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm). become gold standard international drug utilisation monitoring research. WHOCC located Oslo Norwegian Institute Public Health funded Norwegian government. European Commission executive European Union promotes general interest. NOTE: WHOCC copyright allow use commercial purposes, unlike info package. See https://www.whocc./copyright_disclaimer/.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"","code":"antibiotics #> # A tibble: 483 × 14 #>    ab        cid name   group atc   atc_group1 atc_group2 abbreviations synonyms #>    <ab>    <dbl> <chr>  <chr> <lis> <chr>      <chr>      <list>        <named > #>  1 AMA      4649 4-ami… Anti… <chr> Drugs for… Aminosali… <chr [1]>     <chr>    #>  2 ACM   6450012 Acety… Macr… <chr> NA         NA         <chr [1]>     <chr>    #>  3 ASP  49787020 Acety… Macr… <chr> NA         NA         <chr [1]>     <chr>    #>  4 ALS      8954 Aldes… Othe… <chr> Drugs for… Drugs for… <chr [1]>     <chr>    #>  5 AMK     37768 Amika… Amin… <chr> Aminoglyc… Other ami… <chr [5]>     <chr>    #>  6 AKF        NA Amika… Amin… <chr> NA         NA         <chr [1]>     <chr>    #>  7 AMX     33613 Amoxi… Beta… <chr> Beta-lact… Penicilli… <chr [3]>     <chr>    #>  8 AMC  23665637 Amoxi… Beta… <chr> Beta-lact… Combinati… <chr [5]>     <chr>    #>  9 AXS    465441 Amoxi… Beta… <chr> NA         NA         <chr [1]>     <chr>    #> 10 AMB   5280965 Ampho… Anti… <chr> Antimycot… Antibioti… <chr [3]>     <chr>    #> # ℹ 473 more rows #> # ℹ 5 more variables: oral_ddd <dbl>, oral_units <chr>, iv_ddd <dbl>, #> #   iv_units <chr>, loinc <list> antivirals #> # A tibble: 120 × 11 #>    av       name      atc      cid atc_group synonyms oral_ddd oral_units iv_ddd #>    <av>     <chr>     <chr>  <dbl> <chr>     <list>      <dbl> <chr>       <dbl> #>  1 ABA      Abacavir  J05A… 4.41e5 Nucleosi… <chr>         0.6 g              NA #>  2 ACI      Aciclovir J05A… 1.35e8 Nucleosi… <chr>         4   g               4 #>  3 ADD      Adefovir… J05A… 6.09e4 Nucleosi… <chr>        10   mg             NA #>  4 AME      Amenamev… J05A… 1.14e7 Other an… <chr>         0.4 g              NA #>  5 AMP      Amprenav… J05A… 6.50e4 Protease… <chr>         1.2 g              NA #>  6 ASU      Asunapre… J05A… 1.61e7 Antivira… <chr>         0.2 g              NA #>  7 ATA      Atazanav… J05A… 1.48e5 Protease… <chr>         0.3 g              NA #>  8 ATA+COBI Atazanav… J05A… 8.66e7 Antivira… <chr>        NA   NA             NA #>  9 ATA+RIT  Atazanav… J05A… 2.51e7 Antivira… <chr>         0.3 g              NA #> 10 BAM      Baloxavi… J05A… 1.24e8 Other an… <chr>        40   mg             NA #> # ℹ 110 more rows #> # ℹ 2 more variables: iv_units <chr>, loinc <list>"},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Input to an Antibiotic ID — as.ab","title":"Transform Input to an Antibiotic ID — as.ab","text":"Use function determine antibiotic drug code one antibiotics. data set antibiotics searched abbreviations, official names synonyms (brand names).","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Input to an Antibiotic ID — as.ab","text":"","code":"as.ab(x, flag_multiple_results = TRUE, info = interactive(), ...)  is.ab(x)"},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Input to an Antibiotic ID — as.ab","text":"x character vector determine antibiotic ID flag_multiple_results logical indicate whether note printed console probably one antibiotic drug code name can retrieved single input value. info logical indicate whether progress bar printed - default TRUE interactive mode ... arguments passed internal functions","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Input to an Antibiotic ID — as.ab","text":"character  vector additional class ab","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Input to an Antibiotic ID — as.ab","text":"entries antibiotics data set three different identifiers: human readable EARS-Net code (column ab, used ECDC WHONET), ATC code (column atc, used ), CID code (column cid, Compound ID, used PubChem). data set contains 5,000 official brand names many different countries, found PubChem. drugs contain multiple ATC codes. properties searched user input. .ab() can correct different forms misspelling: Wrong spelling drug names (\"tobramicin\" \"gentamycin\"), corrects audible similarities f/ph, x/ks, c/z/s, t/th, etc. many vowels consonants Switching two characters (\"mreopenem\", often case clinical data, doctors typed fast) Digitalised paper records, leaving artefacts like 0/o/O (zero O's), B/8, n/r, etc. Use ab_* functions get properties based returned antibiotic ID, see Examples. Note: .ab() ab_* functions may use long regular expression match brand names antimicrobial drugs. may fail systems. can add manual codes considered .ab() ab_* functions, see add_custom_antimicrobials().","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Transform Input to an Antibiotic ID — as.ab","text":"World Health Organization () Collaborating Centre Drug Statistics Methodology: https://www.whocc./atc_ddd_index/ European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"whocc","dir":"Reference","previous_headings":"","what":"WHOCC","title":"Transform Input to an Antibiotic ID — as.ab","text":"package contains ~550 antibiotic, antimycotic antiviral drugs Anatomical Therapeutic Chemical (ATC) codes, ATC groups Defined Daily Dose (DDD) World Health Organization Collaborating Centre Drug Statistics Methodology (WHOCC, https://www.whocc.) Pharmaceuticals Community Register European Commission (https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm). become gold standard international drug utilisation monitoring research. WHOCC located Oslo Norwegian Institute Public Health funded Norwegian government. European Commission executive European Union promotes general interest. NOTE: WHOCC copyright allow use commercial purposes, unlike info package. See https://www.whocc./copyright_disclaimer/.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Transform Input to an Antibiotic ID — as.ab","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Input to an Antibiotic ID — as.ab","text":"","code":"# these examples all return \"ERY\", the ID of erythromycin: as.ab(\"J01FA01\") #> Class 'ab' #> [1] ERY as.ab(\"J 01 FA 01\") #> Class 'ab' #> [1] ERY as.ab(\"Erythromycin\") #> Class 'ab' #> [1] ERY as.ab(\"eryt\") #> Class 'ab' #> [1] ERY as.ab(\"   eryt 123\") #> Class 'ab' #> [1] ERY as.ab(\"ERYT\") #> Class 'ab' #> [1] ERY as.ab(\"ERY\") #> Class 'ab' #> [1] ERY as.ab(\"eritromicine\") # spelled wrong, yet works #> Class 'ab' #> [1] ERY as.ab(\"Erythrocin\") # trade name #> Class 'ab' #> [1] ERY as.ab(\"Romycin\") # trade name #> Class 'ab' #> [1] ERY  # spelling from different languages and dyslexia are no problem ab_atc(\"ceftriaxon\") #> [1] \"J01DD04\" ab_atc(\"cephtriaxone\") # small spelling error #> [1] \"J01DD04\" ab_atc(\"cephthriaxone\") # or a bit more severe #> [1] \"J01DD04\" ab_atc(\"seephthriaaksone\") # and even this works #> [1] \"J01DD04\"  # use ab_* functions to get a specific properties (see ?ab_property); # they use as.ab() internally: ab_name(\"J01FA01\") #> [1] \"Erythromycin\" ab_name(\"eryt\") #> [1] \"Erythromycin\"  # \\donttest{ if (require(\"dplyr\")) {   # you can quickly rename 'sir' columns using set_ab_names() with dplyr:   example_isolates %>%     set_ab_names(where(is.sir), property = \"atc\") } #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           J01CE01 J01CF04 J01CF05 #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir>   <sir>   <sir>   #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R       NA      NA      #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R       NA      NA      #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R       NA      R       #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R       NA      R       #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R       NA      R       #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R       NA      R       #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R       NA      S       #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R       NA      S       #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R       NA      R       #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R       NA      S       #> # ℹ 1,990 more rows #> # ℹ 37 more variables: J01CA04 <sir>, J01CR02 <sir>, J01CA01 <sir>, #> #   J01CR05 <sir>, J01DB04 <sir>, J01DE01 <sir>, J01DC02 <sir>, J01DC01 <sir>, #> #   J01DD01 <sir>, J01DD02 <sir>, J01DD04 <sir>, J01GB03 <sir>, J01GB01 <sir>, #> #   J01GB06 <sir>, J01GB04 <sir>, J01EA01 <sir>, J01EE01 <sir>, J01XE01 <sir>, #> #   J01XX01 <sir>, J01XX08 <sir>, J01MA02 <sir>, J01MA14 <sir>, J01XA01 <sir>, #> #   J01XA02 <sir>, J01AA07 <sir>, J01AA12 <sir>, J01AA02 <sir>, … # }"},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Input to an Antiviral Drug ID — as.av","title":"Transform Input to an Antiviral Drug ID — as.av","text":"Use function determine antiviral drug code one antiviral drugs. data set antivirals searched abbreviations, official names synonyms (brand names).","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Input to an Antiviral Drug ID — as.av","text":"","code":"as.av(x, flag_multiple_results = TRUE, info = interactive(), ...)  is.av(x)"},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Input to an Antiviral Drug ID — as.av","text":"x character vector determine antiviral drug ID flag_multiple_results logical indicate whether note printed console probably one antiviral drug code name can retrieved single input value. info logical indicate whether progress bar printed - default TRUE interactive mode ... arguments passed internal functions","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Input to an Antiviral Drug ID — as.av","text":"character  vector additional class ab","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Input to an Antiviral Drug ID — as.av","text":"entries antivirals data set three different identifiers: human readable EARS-Net code (column ab, used ECDC WHONET), ATC code (column atc, used ), CID code (column cid, Compound ID, used PubChem). data set contains 5,000 official brand names many different countries, found PubChem. drugs contain multiple ATC codes. properties searched user input. .av() can correct different forms misspelling: Wrong spelling drug names (\"acyclovir\"), corrects audible similarities f/ph, x/ks, c/z/s, t/th, etc. many vowels consonants Switching two characters (\"aycclovir\", often case clinical data, doctors typed fast) Digitalised paper records, leaving artefacts like 0/o/O (zero O's), B/8, n/r, etc. Use av_* functions get properties based returned antiviral drug ID, see Examples. Note: .av() av_* functions may use long regular expression match brand names antimicrobial drugs. may fail systems.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Transform Input to an Antiviral Drug ID — as.av","text":"World Health Organization () Collaborating Centre Drug Statistics Methodology: https://www.whocc./atc_ddd_index/ European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"whocc","dir":"Reference","previous_headings":"","what":"WHOCC","title":"Transform Input to an Antiviral Drug ID — as.av","text":"package contains ~550 antibiotic, antimycotic antiviral drugs Anatomical Therapeutic Chemical (ATC) codes, ATC groups Defined Daily Dose (DDD) World Health Organization Collaborating Centre Drug Statistics Methodology (WHOCC, https://www.whocc.) Pharmaceuticals Community Register European Commission (https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm). become gold standard international drug utilisation monitoring research. WHOCC located Oslo Norwegian Institute Public Health funded Norwegian government. European Commission executive European Union promotes general interest. NOTE: WHOCC copyright allow use commercial purposes, unlike info package. See https://www.whocc./copyright_disclaimer/.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Transform Input to an Antiviral Drug ID — as.av","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Input to an Antiviral Drug ID — as.av","text":"","code":"# these examples all return \"ACI\", the ID of aciclovir: as.av(\"J05AB01\") #> Class 'av' #> [1] ACI as.av(\"J 05 AB 01\") #> Class 'av' #> [1] ACI as.av(\"Aciclovir\") #> Class 'av' #> [1] ACI as.av(\"aciclo\") #> Class 'av' #> [1] ACI as.av(\"   aciclo 123\") #> Class 'av' #> [1] ACI as.av(\"ACICL\") #> Class 'av' #> [1] ACI as.av(\"ACI\") #> Class 'av' #> [1] ACI as.av(\"Virorax\") # trade name #> Class 'av' #> [1] ACI as.av(\"Zovirax\") # trade name #> Class 'av' #> [1] ACI  as.av(\"acyklofir\") # severe spelling error, yet works #> Class 'av' #> [1] ACI  # use av_* functions to get a specific properties (see ?av_property); # they use as.av() internally: av_name(\"J05AB01\") #> [1] \"Aciclovir\" av_name(\"acicl\") #> [1] \"Aciclovir\""},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Input to Disk Diffusion Diameters — as.disk","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"transforms vector new class disk, disk diffusion growth zone size (around antibiotic disk) millimetres 6 50.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"","code":"as.disk(x, na.rm = FALSE)  NA_disk_  is.disk(x)"},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"object class disk (inherits integer) length 1.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"x vector na.rm logical indicating whether missing values removed","code":""},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"integer additional class disk","code":""},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"Interpret disk values SIR values .sir(). supports guidelines EUCAST CLSI. Disk diffusion growth zone sizes must 6 50 millimetres. Values higher 50 lower 100 maximised 50. others input values outside 6-50 range return NA. NA_disk_ missing value new disk class.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"","code":"# transform existing disk zones to the `disk` class (using base R) df <- data.frame(   microorganism = \"Escherichia coli\",   AMP = 20,   CIP = 14,   GEN = 18,   TOB = 16 ) df[, 2:5] <- lapply(df[, 2:5], as.disk) str(df) #> 'data.frame':\t1 obs. of  5 variables: #>  $ microorganism: chr \"Escherichia coli\" #>  $ AMP          : 'disk' int 20 #>  $ CIP          : 'disk' int 14 #>  $ GEN          : 'disk' int 18 #>  $ TOB          : 'disk' int 16  # \\donttest{ # transforming is easier with dplyr: if (require(\"dplyr\")) {   df %>% mutate(across(AMP:TOB, as.disk)) } #>      microorganism AMP CIP GEN TOB #> 1 Escherichia coli  20  14  18  16 # }  # interpret disk values, see ?as.sir as.sir(   x = as.disk(18),   mo = \"Strep pneu\", # `mo` will be coerced with as.mo()   ab = \"ampicillin\", # and `ab` with as.ab()   guideline = \"EUCAST\" ) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting disk diffusion zones: 'ampicillin' (AMP), EUCAST 2023... #>  OK  #> Class 'sir' #> [1] R  # interpret whole data set, pretend to be all from urinary tract infections: as.sir(df, uti = TRUE) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting disk diffusion zones: column 'AMP' (ampicillin), EUCAST #> 2023... #>  OK  #> Interpreting disk diffusion zones: column 'CIP' (ciprofloxacin), EUCAST #> 2023... #>  OK  #> Interpreting disk diffusion zones: column 'GEN' (gentamicin), EUCAST #> 2023... #>  OK  #> Interpreting disk diffusion zones: column 'TOB' (tobramycin), EUCAST #> 2023... #>  OK  #>      microorganism AMP  CIP GEN TOB #> 1 Escherichia coli   S <NA>   S   S"},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"transforms vectors new class mic, treats input decimal numbers, maintaining operators (\">=\") allowing valid MIC values known field (medical) microbiology.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"","code":"as.mic(x, na.rm = FALSE, keep_operators = \"all\")  is.mic(x)  NA_mic_  limit_mic_range(x, mic_range, keep_operators = \"edges\", as.mic = TRUE)  # S3 method for mic droplevels(x, as.mic = FALSE, ...)"},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"x character numeric vector na.rm logical indicating whether missing values removed keep_operators character specifying handle operators (> <=) input. Accepts one three values: \"\" (TRUE) keep operators, \"none\" (FALSE) remove operators, \"edges\" keep operators ends range. mic_range manual range limit MIC values, e.g., mic_range = c(0.001, 32). Use NA set limit one side, e.g., mic_range = c(NA, 32). .mic logical indicate whether mic class kept - default FALSE ... arguments passed methods","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"Ordered factor additional class mic, mathematical operations acts numeric vector. Bear mind outcome mathematical operation MICs return numeric value.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"interpret MIC values SIR values, use .sir() MIC values. supports guidelines EUCAST (2011-2023) CLSI (2011-2023). class MIC values quite special data type: formally ordered factor valid MIC values factor levels (make sure valid MIC values retained), mathematical operation acts decimal numbers:   makes possible maintain operators often come MIC values, \">=\" \"<=\", even filtering using numeric values data analysis, e.g.:   -called group generic functions implemented MIC class (!, !=, <, >=, exp(), log2()). functions stats package also implemented (quantile(), median(), fivenum()). Since sd() var() non-generic functions, extended. Use mad() alternative, use e.g. sd(.numeric(x)) x vector MIC values. Using .double() .numeric() MIC values remove operators return numeric vector. use .integer() MIC values R convention factors, return index factor levels (often useless regular users). Use droplevels() drop unused levels. default, return plain factor. Use droplevels(..., .mic = TRUE) maintain mic class. limit_mic_range(), existing MIC ranges can limited defined range MIC values. can useful better compare MIC distributions. ggplot2, use one scale_*_mic() functions plot MIC values. allows custom MIC ranges plot intermediate log2 levels missing MIC values. NA_mic_ missing value new mic class, analogous e.g. base R's NA_character_.","code":"x <- random_mic(10) x #> Class 'mic' #>  [1] 16     1      8      8      64     >=128  0.0625 32     32     16  is.factor(x) #> [1] TRUE  x[1] * 2 #> [1] 32  median(x) #> [1] 26 x[x > 4] #> Class 'mic' #> [1] 16    8     8     64    >=128 32    32    16  df <- data.frame(x, hospital = \"A\") subset(df, x > 4) # or with dplyr: df %>% filter(x > 4) #>        x hospital #> 1     16        A #> 5     64        A #> 6  >=128        A #> 8     32        A #> 9     32        A #> 10    16        A"},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"","code":"mic_data <- as.mic(c(\">=32\", \"1.0\", \"1\", \"1.00\", 8, \"<=0.128\", \"8\", \"16\", \"16\")) mic_data #> Class 'mic' #> [1] >=32    1       1       1       8       <=0.128 8       16      16      is.mic(mic_data) #> [1] TRUE  # this can also coerce combined MIC/SIR values: as.mic(\"<=0.002; S\") #> Class 'mic' #> [1] <=0.002  # mathematical processing treats MICs as numeric values fivenum(mic_data) #> [1]  0.128  1.000  8.000 16.000 32.000 quantile(mic_data) #>     0%    25%    50%    75%   100%  #>  0.128  1.000  8.000 16.000 32.000  all(mic_data < 512) #> [1] TRUE  # limit MICs using limit_mic_range() limit_mic_range(mic_data, mic_range = c(4, 16)) #> Class 'mic' #> [1] >=16 <=4  <=4  <=4  8    <=4  8    >=16 >=16  # interpret MIC values as.sir(   x = as.mic(2),   mo = as.mo(\"Streptococcus pneumoniae\"),   ab = \"AMX\",   guideline = \"EUCAST\" ) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMX' (amoxicillin), EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for amoxicillin (AMX) in Streptococcus #>      pneumoniae - assuming body site 'Meningitis'. #> Class 'sir' #> [1] R as.sir(   x = as.mic(c(0.01, 2, 4, 8)),   mo = as.mo(\"Streptococcus pneumoniae\"),   ab = \"AMX\",   guideline = \"EUCAST\" ) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMX' (amoxicillin), EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for amoxicillin (AMX) in Streptococcus #>      pneumoniae - assuming body site 'Meningitis'. #> Class 'sir' #> [1] S R R R  # plot MIC values, see ?plot plot(mic_data)  plot(mic_data, mo = \"E. coli\", ab = \"cipro\")   if (require(\"ggplot2\")) {   autoplot(mic_data, mo = \"E. coli\", ab = \"cipro\") }  if (require(\"ggplot2\")) {   autoplot(mic_data, mo = \"E. coli\", ab = \"cipro\", language = \"nl\") # Dutch }"},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"Use function get valid microorganism code (mo) based arbitrary user input. Determination done using intelligent rules complete taxonomic tree kingdoms Animalia, Archaea, Bacteria, Protozoa, microbial species kingdom Fungi (see Source). input can almost anything: full name (like \"Staphylococcus aureus\"), abbreviated name (\"S. aureus\"), abbreviation known field (\"MRSA\"), just genus. See Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"","code":"as.mo(   x,   Becker = FALSE,   Lancefield = FALSE,   minimum_matching_score = NULL,   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   reference_df = get_mo_source(),   ignore_pattern = getOption(\"AMR_ignore_pattern\", NULL),   cleaning_regex = getOption(\"AMR_cleaning_regex\", mo_cleaning_regex()),   language = get_AMR_locale(),   info = interactive(),   ... )  is.mo(x)  mo_uncertainties()  mo_renamed()  mo_failures()  mo_reset_session()  mo_cleaning_regex()"},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"x character vector data.frame one two columns Becker logical indicate whether staphylococci categorised coagulase-negative staphylococci (\"CoNS\") coagulase-positive staphylococci (\"CoPS\") instead species, according Karsten Becker et al. (see Source). Please see Details full list staphylococcal species converted. excludes Staphylococcus aureus default, use Becker = \"\" also categorise S. aureus \"CoPS\". Lancefield logical indicate whether beta-haemolytic Streptococcus categorised Lancefield groups instead species, according Rebecca C. Lancefield (see Source). streptococci categorised first group, e.g. Streptococcus dysgalactiae group C, although officially also categorised groups G L. . Please see Details full list streptococcal species converted. excludes enterococci default (group D), use Lancefield = \"\" also categorise enterococci group D. minimum_matching_score numeric value set lower limit MO matching score. left blank, determined automatically based character length x, taxonomic kingdom human pathogenicity. keep_synonyms logical indicate old, previously valid taxonomic names must preserved corrected currently accepted names. default FALSE, return note old taxonomic names processed. default can set package option AMR_keep_synonyms, .e. options(AMR_keep_synonyms = TRUE) options(AMR_keep_synonyms = FALSE). reference_df data.frame used extra reference translating x valid mo. See set_mo_source() get_mo_source() automate usage codes (e.g. used analysis organisation). ignore_pattern Perl-compatible regular expression (case-insensitive) matches x must return NA. can convenient exclude known non-relevant input can also set package option AMR_ignore_pattern, e.g. options(AMR_ignore_pattern = \"(reported|contaminated flora)\"). cleaning_regex Perl-compatible regular expression (case-insensitive) clean input x. Every matched part x removed. default, outcome mo_cleaning_regex(), removes texts brackets texts \"species\" \"serovar\". default can set package option AMR_cleaning_regex. language language translate text like \"growth\", defaults system language (see get_AMR_locale()) info logical indicate progress bar printed 25 items coerced - default TRUE interactive mode ... arguments passed functions","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"character  vector additional class mo","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"microorganism (MO) code package (class: mo) human readable typically looks like examples:   Values coerced considered 'unknown' returned MO code UNKNOWN warning. Use mo_* functions get properties based returned code, see Examples. .mo() function uses novel matching score algorithm (see Matching Score Microorganisms ) match input available microbial taxonomy package. lead effect e.g. \"E. coli\" (microorganism highly prevalent humans) return microbial ID Escherichia coli Entamoeba coli (microorganism less prevalent humans), although latter alphabetically come first. Becker = TRUE, following 85 staphylococci converted coagulase-negative group: S. argensis, S. arlettae, S. auricularis, S. borealis, S. caeli, S. caledonicus, S. canis, S. capitis, S. capitis capitis, S. capitis urealyticus, S. capitis ureolyticus, S. caprae, S. carnosus, S. carnosus carnosus, S. carnosus utilis, S. casei, S. caseolyticus, S. chromogenes, S. cohnii, S. cohnii cohnii, S. cohnii urealyticum, S. cohnii urealyticus, S. condimenti, S. croceilyticus, S. debuckii, S. devriesei, S. durrellii, S. edaphicus, S. epidermidis, S. equorum, S. equorum equorum, S. equorum linens, S. felis, S. fleurettii, S. gallinarum, S. haemolyticus, S. hominis, S. hominis hominis, S. hominis novobiosepticus, S. jettensis, S. kloosii, S. lentus, S. lloydii, S. lugdunensis, S. massiliensis, S. microti, S. muscae, S. nepalensis, S. pasteuri, S. petrasii, S. petrasii croceilyticus, S. petrasii jettensis, S. petrasii petrasii, S. petrasii pragensis, S. pettenkoferi, S. piscifermentans, S. pragensis, S. pseudoxylosus, S. pulvereri, S. ratti, S. rostri, S. saccharolyticus, S. saprophyticus, S. saprophyticus bovis, S. saprophyticus saprophyticus, S. schleiferi, S. schleiferi schleiferi, S. sciuri, S. sciuri carnaticus, S. sciuri lentus, S. sciuri rodentium, S. sciuri sciuri, S. simulans, S. stepanovicii, S. succinus, S. succinus casei, S. succinus succinus, S. taiwanensis, S. urealyticus, S. ureilyticus, S. veratri, S. vitulinus, S. vitulus, S. warneri, S. xylosus. following 16 staphylococci converted coagulase-positive group: S. agnetis, S. argenteus, S. coagulans, S. cornubiensis, S. delphini, S. hyicus, S. hyicus chromogenes, S. hyicus hyicus, S. intermedius, S. lutrae, S. pseudintermedius, S. roterodami, S. schleiferi coagulans, S. schweitzeri, S. simiae, S. singaporensis. Lancefield = TRUE, following streptococci converted corresponding Lancefield group: S. agalactiae (Group B), S. anginosus anginosus (Group F), S. anginosus whileyi (Group F), S. anginosus (Group F), S. canis (Group G), S. dysgalactiae dysgalactiae (Group C), S. dysgalactiae equisimilis (Group C), S. dysgalactiae (Group C), S. equi equi (Group C), S. equi ruminatorum (Group C), S. equi zooepidemicus (Group C), S. equi (Group C), S. pyogenes (Group ), S. salivarius salivarius (Group K), S. salivarius thermophilus (Group K), S. salivarius (Group K), S. sanguinis (Group H).","code":"Code               Full name   ---------------    --------------------------------------   B_KLBSL            Klebsiella   B_KLBSL_PNMN       Klebsiella pneumoniae   B_KLBSL_PNMN_RHNS  Klebsiella pneumoniae rhinoscleromatis   |   |    |    |   |   |    |    |   |   |    |    \\---> subspecies, a 3-5 letter acronym   |   |    \\----> species, a 3-6 letter acronym   |   \\----> genus, a 4-8 letter acronym   \\----> taxonomic kingdom: A (Archaea), AN (Animalia), B (Bacteria),                             F (Fungi), PL (Plantae), P (Protozoa)"},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"coping-with-uncertain-results","dir":"Reference","previous_headings":"","what":"Coping with Uncertain Results","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"Results non-exact taxonomic input based matching score. lowest allowed score can set minimum_matching_score argument. default determined based character length input, taxonomic kingdom human pathogenicity taxonomic outcome. values matched uncertainty, message shown suggest user evaluate results mo_uncertainties(), returns data.frame specifications. increase quality matching, cleaning_regex argument can used clean input (.e., x). must regular expression matches parts input removed input matched available microbial taxonomy. matched Perl-compatible case-insensitive. default value cleaning_regex outcome helper function mo_cleaning_regex(). three helper functions can run using .mo() function: Use mo_uncertainties() get data.frame prints pretty format taxonomic names guessed. output contains matching score matches (see Matching Score Microorganisms ). Use mo_failures() get character vector values coerced valid value. Use mo_renamed() get data.frame values coerced based old, previously accepted taxonomic names.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"microbial-prevalence-of-pathogens-in-humans","dir":"Reference","previous_headings":"","what":"Microbial Prevalence of Pathogens in Humans","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"coercion rules consider prevalence microorganisms humans, available prevalence column microorganisms data set. grouping human pathogenic prevalence explained section Matching Score Microorganisms .","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"Berends MS et al. (2022). AMR: R Package Working Antimicrobial Resistance Data. Journal Statistical Software, 104(3), 1-31; doi:10.18637/jss.v104.i03 Becker K et al. (2014). Coagulase-Negative Staphylococci. Clin Microbiol Rev. 27(4): 870-926; doi:10.1128/CMR.00109-13 Becker K et al. (2019). Implications identifying recently defined members S. aureus complex, S. argenteus S. schweitzeri: position paper members ESCMID Study Group staphylococci Staphylococcal Diseases (ESGS). Clin Microbiol Infect; doi:10.1016/j.cmi.2019.02.028 Becker K et al. (2020). Emergence coagulase-negative staphylococci. Expert Rev Anti Infect Ther. 18(4):349-366; doi:10.1080/14787210.2020.1730813 Lancefield RC (1933). serological differentiation human groups hemolytic streptococci. J Exp Med. 57(4): 571-95; doi:10.1084/jem.57.4.571 Berends MS et al. (2022). Trends Occurrence Phenotypic Resistance Coagulase-Negative Staphylococci (CoNS) Found Human Blood Northern Netherlands 2013 2019/ Micro.rganisms 10(9), 1801; doi:10.3390/microorganisms10091801 Parte, AC et al. (2020). List Prokaryotic names Standing Nomenclature (LPSN) moves DSMZ. International Journal Systematic Evolutionary Microbiology, 70, 5607-5612; doi:10.1099/ijsem.0.004332 . Accessed https://lpsn.dsmz.de December 11th, 2022. GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset doi:10.15468/39omei . Accessed https://www.gbif.org January 8th, 2024. Reimer, LC et al. (2022). BacDive 2022: knowledge base standardized bacterial archaeal data. Nucleic Acids Res., 50(D1):D741-D74; doi:10.1093/nar/gkab961 . Accessed https://bacdive.dsmz.de May 12th, 2023. Public Health Information Network Vocabulary Access Distribution System (PHIN VADS). US Edition SNOMED CT 1 September 2020. Value Set Name 'Microorganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: https://phinvads.cdc.gov Bartlett et al. (2022). comprehensive list bacterial pathogens infecting humans Microbiology 168:001269; doi:10.1099/mic.0.001269","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"matching-score-for-microorganisms","dir":"Reference","previous_headings":"","what":"Matching Score for Microorganisms","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"ambiguous user input .mo() mo_* functions, returned results chosen based matching score using mo_matching_score(). matching score \\(m\\), calculated :  : \\(x\\) user input; \\(n\\) taxonomic name (genus, species, subspecies); \\(l_n\\) length \\(n\\); \\(lev\\) Levenshtein distance function (counting insertion 1, deletion substitution 2) needed change \\(x\\) \\(n\\); \\(p_n\\) human pathogenic prevalence group \\(n\\), described ; \\(k_n\\) taxonomic kingdom \\(n\\), set Bacteria = 1, Fungi = 1.25, Protozoa = 1.5, Archaea = 2, others = 3. grouping human pathogenic prevalence \\(p\\) based recent work Bartlett et al. (2022, doi:10.1099/mic.0.001269 ) extensively studied medical-scientific literature categorise bacterial species groups: Established, taxonomic species infected least three persons three references. records prevalence = 1.0 microorganisms data set; Putative, taxonomic species fewer three known cases. records prevalence = 1.25 microorganisms data set. Furthermore, genus present established list also prevalence = 1.0 microorganisms data set; genus present putative list prevalence = 1.25 microorganisms data set; species subspecies genus present two aforementioned groups, prevalence = 1.5 microorganisms data set; non-bacterial genus, species subspecies genus present following list, prevalence = 1.25 microorganisms data set: Absidia, Acanthamoeba, Acremonium, Aedes, Alternaria, Amoeba, Ancylostoma, Angiostrongylus, Anisakis, Anopheles, Apophysomyces, Arthroderma, Aspergillus, Aureobasidium, Basidiobolus, Beauveria, Blastocystis, Blastomyces, Candida, Capillaria, Chaetomium, Chrysonilia, Chrysosporium, Cladophialophora, Cladosporium, Conidiobolus, Contracaecum, Cordylobia, Cryptococcus, Curvularia, Demodex, Dermatobia, Dientamoeba, Diphyllobothrium, Dirofilaria, Echinostoma, Entamoeba, Enterobius, Exophiala, Exserohilum, Fasciola, Fonsecaea, Fusarium, Geotrichum, Giardia, Haloarcula, Halobacterium, Halococcus, Hendersonula, Heterophyes, Histomonas, Histoplasma, Hymenolepis, Hypomyces, Hysterothylacium, Kloeckera, Kodamaea, Leishmania, Lichtheimia, Lodderomyces, Malassezia, Malbranchea, Metagonimus, Meyerozyma, Microsporidium, Microsporum, Millerozyma, Mortierella, Mucor, Mycocentrospora, Necator, Nectria, Ochroconis, Oesophagostomum, Oidiodendron, Opisthorchis, Paecilomyces, Pediculus, Penicillium, Phlebotomus, Phoma, Pichia, Piedraia, Pithomyces, Pityrosporum, Pneumocystis, Pseudallescheria, Pseudoterranova, Pulex, Rhizomucor, Rhizopus, Rhodotorula, Saccharomyces, Saprochaete, Sarcoptes, Scedosporium, Scolecobasidium, Scopulariopsis, Scytalidium, Spirometra, Sporobolomyces, Sporotrichum, Stachybotrys, Strongyloides, Syngamus, Taenia, Talaromyces, Toxocara, Trichinella, Trichobilharzia, Trichoderma, Trichomonas, Trichophyton, Trichosporon, Trichostrongylus, Trichuris, Tritirachium, Trombicula, Trypanosoma, Tunga, Verticillium, Wuchereria; records prevalence = 2.0 microorganisms data set. calculating matching score, characters \\(x\\) \\(n\\) ignored -Z, -z, 0-9, spaces parentheses. matches sorted descending matching score user input values, top match returned. lead effect e.g., \"E. coli\" return microbial ID Escherichia coli (\\(m = 0.688\\), highly prevalent microorganism found humans) Entamoeba coli (\\(m = 0.381\\), less prevalent microorganism humans), although latter alphabetically come first.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"","code":"# \\donttest{ # These examples all return \"B_STPHY_AURS\", the ID of S. aureus: as.mo(c(   \"sau\", # WHONET code   \"stau\",   \"STAU\",   \"staaur\",   \"S. aureus\",   \"S aureus\",   \"Sthafilokkockus aureus\", # handles incorrect spelling   \"Staphylococcus aureus (MRSA)\",   \"MRSA\", # Methicillin Resistant S. aureus   \"VISA\", # Vancomycin Intermediate S. aureus   \"VRSA\", # Vancomycin Resistant S. aureus   115329001 # SNOMED CT code )) #> Class 'mo' #>  [1] B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS #>  [6] B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS #> [11] B_STPHY_AURS B_STPHY_AURS  # Dyslexia is no problem - these all work: as.mo(c(   \"Ureaplasma urealyticum\",   \"Ureaplasma urealyticus\",   \"Ureaplasmium urealytica\",   \"Ureaplazma urealitycium\" )) #> Class 'mo' #> [1] B_URPLS_URLY B_URPLS_URLY B_URPLS_URLY B_URPLS_URLY  # input will get cleaned up with the input given in the `cleaning_regex` argument, # which defaults to `mo_cleaning_regex()`: cat(mo_cleaning_regex(), \"\\n\") #> ([^A-Za-z- \\(\\)\\[\\]{}]+|([({]|\\[).+([})]|\\])|(^| )(e?spp([^a-z]+|$)|e?ssp([^a-z]+|$)|serogr.?up[a-z]*|e?ss([^a-z]+|$)|e?sp([^a-z]+|$)|var([^a-z]+|$)|serovar[a-z]*|sube?species|biovar[a-z]*|e?species|Ig[ADEGM]|e?subsp|biotype|titer|dummy))   as.mo(\"Streptococcus group A\") #> Class 'mo' #> [1] B_STRPT_GRPA  as.mo(\"S. epidermidis\") # will remain species: B_STPHY_EPDR #> Class 'mo' #> [1] B_STPHY_EPDR as.mo(\"S. epidermidis\", Becker = TRUE) # will not remain species: B_STPHY_CONS #> Class 'mo' #> [1] B_STPHY_CONS  as.mo(\"S. pyogenes\") # will remain species: B_STRPT_PYGN #> Class 'mo' #> [1] B_STRPT_PYGN as.mo(\"S. pyogenes\", Lancefield = TRUE) # will not remain species: B_STRPT_GRPA #> Class 'mo' #> [1] B_STRPT_GRPA  # All mo_* functions use as.mo() internally too (see ?mo_property): mo_genus(\"E. coli\") #> [1] \"Escherichia\" mo_gramstain(\"ESCO\") #> [1] \"Gram-negative\" mo_is_intrinsic_resistant(\"ESCCOL\", ab = \"vanco\") #> ℹ Determining intrinsic resistance based on 'EUCAST Expert Rules' and #>   'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3 (2021). This note #>   will be shown once per session. #> [1] TRUE # }"},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":null,"dir":"Reference","previous_headings":"","what":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"Clean existing SIR values, interpret minimum inhibitory concentration (MIC) values disk diffusion diameters according EUCAST CLSI. .sir() transforms input new class sir, ordered factor levels S < < R. Currently breakpoints available: clinical microbiology EUCAST 2011-2023 CLSI 2011-2023; veterinary microbiology EUCAST 2021-2023 CLSI 2019-2023; ECOFFs (Epidemiological cut-values) EUCAST 2020-2023 CLSI 2022-2023. breakpoints used interpretation publicly available clinical_breakpoints data set.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"","code":"as.sir(x, ...)  NA_sir_  is.sir(x)  is_sir_eligible(x, threshold = 0.05)  # S3 method for mic as.sir(   x,   mo = NULL,   ab = deparse(substitute(x)),   guideline = getOption(\"AMR_guideline\", \"EUCAST\"),   uti = NULL,   conserve_capped_values = FALSE,   add_intrinsic_resistance = FALSE,   reference_data = AMR::clinical_breakpoints,   include_screening = getOption(\"AMR_include_screening\", FALSE),   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   host = NULL,   ... )  # S3 method for disk as.sir(   x,   mo = NULL,   ab = deparse(substitute(x)),   guideline = getOption(\"AMR_guideline\", \"EUCAST\"),   uti = NULL,   add_intrinsic_resistance = FALSE,   reference_data = AMR::clinical_breakpoints,   include_screening = getOption(\"AMR_include_screening\", FALSE),   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   host = NULL,   ... )  # S3 method for data.frame as.sir(   x,   ...,   col_mo = NULL,   guideline = getOption(\"AMR_guideline\", \"EUCAST\"),   uti = NULL,   conserve_capped_values = FALSE,   add_intrinsic_resistance = FALSE,   reference_data = AMR::clinical_breakpoints,   include_screening = getOption(\"AMR_include_screening\", FALSE),   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   host = NULL )  sir_interpretation_history(clean = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"interpretations minimum inhibitory concentration (MIC) values disk diffusion diameters: CLSI M39: Analysis Presentation Cumulative Antimicrobial Susceptibility Test Data, 2011-2023, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/microbiology/documents/m39/. CLSI M100: Performance Standard Antimicrobial Susceptibility Testing, 2011-2023, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/microbiology/documents/m100/. CLSI VET01: Performance Standards Antimicrobial Disk Dilution Susceptibility Tests Bacteria Isolated Animals, 2019-2023, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/veterinary-medicine/documents/vet01//. EUCAST Breakpoint tables interpretation MICs zone diameters, 2011-2023, European Committee Antimicrobial Susceptibility Testing (EUCAST). https://www.eucast.org/clinical_breakpoints.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"x vector values (class mic: MIC values mg/L, class disk: disk diffusion radius millimetres) ... using data.frame: names columns apply .sir() (supports tidy selection column1:column4). Otherwise: arguments passed methods. threshold maximum fraction invalid antimicrobial interpretations x, see Examples mo (vector ) text can coerced valid microorganism codes .mo(), can left empty determine automatically ab (vector ) text can coerced valid antimicrobial drug code .ab() guideline defaults EUCAST 2023 (latest implemented EUCAST guideline clinical_breakpoints data set), can set package option AMR_guideline. Currently supports EUCAST (2011-2023) CLSI (2011-2023), see Details. uti (Urinary Tract Infection) vector logicals (TRUE FALSE) specify whether UTI specific interpretation guideline chosen. using .sir() data.frame, can also column containing logicals left blank, data set searched column 'specimen', rows within column containing 'urin' ('urine', 'urina') regarded isolates UTI. See Examples. conserve_capped_values logical indicate MIC values starting \">\" (\">=\") must always return \"R\" , MIC values starting \"<\" (\"<=\") must always return \"S\" add_intrinsic_resistance (useful using EUCAST guideline) logical indicate whether intrinsic antibiotic resistance must also considered applicable bug-drug combinations, meaning e.g. ampicillin always return \"R\" Klebsiella species. Determination based intrinsic_resistant data set, based 'EUCAST Expert Rules' 'EUCAST Intrinsic Resistance Unusual Phenotypes' v3.3 (2021). reference_data data.frame used interpretation, defaults clinical_breakpoints data set. Changing argument allows using interpretation guidelines. argument must contain data set equal structure clinical_breakpoints data set (column names column types). Please note guideline argument ignored reference_data manually set. include_screening logical indicate clinical breakpoints screening allowed - default FALSE. Can also set package option AMR_include_screening. include_PKPD logical indicate PK/PD clinical breakpoints must applied last resort - default TRUE. Can also set package option AMR_include_PKPD. breakpoint_type type breakpoints use, either \"ECOFF\", \"animal\", \"human\". ECOFF stands Epidemiological Cut-values. default \"human\", can also set package option AMR_breakpoint_type. host set values veterinary species, automatically set \"animal\". host vector (column name) characters indicate host. useful veterinary breakpoints, requires breakpoint_type = \"animal\". values can text resembling animal species, even 20 supported languages package. foreign languages, sure set language set_AMR_locale() (though automatically guessed based system language). col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). clean logical indicate whether previously stored results forgotten returning 'logbook' results","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"Ordered factor new class sir","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"Note: clinical breakpoints package validated , imported , WHONET. public use AMR package endorsed CLSI EUCAST. See clinical_breakpoints information. NA_sir_ missing value new sir class, analogous e.g. base R's NA_character_.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"how-it-works","dir":"Reference","previous_headings":"","what":"How it Works","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":".sir() function can work four ways: cleaning raw / untransformed data. data cleaned contain values S, R try best determine intelligence. example, mixed values SIR interpretations MIC values \"<0.25; S\" coerced \"S\". Combined interpretations multiple test methods (seen laboratory records) \"S; S\" coerced \"S\", value like \"S; \" return NA warning input unclear. interpreting minimum inhibitory concentration (MIC) values according EUCAST CLSI. must clean MIC values first using .mic(), also gives columns new data class mic. Also, sure column microorganism names codes. found automatically, can set manually using mo argument. Using dplyr, SIR interpretation can done easily either:   Operators like \"<=\" stripped interpretation. using conserve_capped_values = TRUE, MIC value e.g. \">2\" always return \"R\", even breakpoint according chosen guideline \">=4\". prevent capped values raw laboratory data treated conservatively. default behaviour (conserve_capped_values = FALSE) considers \">2\" lower \">=4\" might case return \"S\" \"\". interpreting disk diffusion diameters according EUCAST CLSI. must clean disk zones first using .disk(), also gives columns new data class disk. Also, sure column microorganism names codes. found automatically, can set manually using mo argument. Using dplyr, SIR interpretation can done easily either:   interpreting complete data set, automatic determination MIC values, disk diffusion diameters, microorganism names codes, antimicrobial test results. done simply running .sir(your_data). points 2, 3 4: Use sir_interpretation_history() retrieve data.frame (tibble tibble package installed) results last .sir() call.","code":"your_data %>% mutate_if(is.mic, as.sir) your_data %>% mutate(across(where(is.mic), as.sir))  # for veterinary breakpoints, also set `host`: your_data %>% mutate_if(is.mic, as.sir, host = \"column_with_animal_hosts\", guideline = \"CLSI\") your_data %>% mutate_if(is.disk, as.sir) your_data %>% mutate(across(where(is.disk), as.sir))  # for veterinary breakpoints, also set `host`: your_data %>% mutate_if(is.disk, as.sir, host = \"column_with_animal_hosts\", guideline = \"CLSI\")"},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"supported-guidelines","dir":"Reference","previous_headings":"","what":"Supported Guidelines","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"interpreting MIC values well disk diffusion diameters, currently implemented guidelines clinical microbiology: EUCAST 2011-2023 CLSI 2011-2023, veterinary microbiology: EUCAST 2021-2023 CLSI 2019-2023. Thus, guideline argument must set e.g., \"EUCAST 2023\" \"CLSI 2023\". simply using \"EUCAST\" (default) \"CLSI\" input, latest included version guideline automatically selected. can set data set using reference_data argument. guideline argument ignored. can set default guideline package option AMR_guideline (e.g. .Rprofile file), :   veterinary guidelines, might best options:","code":"options(AMR_guideline = \"CLSI\")   options(AMR_guideline = \"CLSI 2018\")   options(AMR_guideline = \"EUCAST 2020\")   # or to reset:   options(AMR_guideline = NULL) options(AMR_guideline = \"CLSI\")   options(AMR_breakpoint_type = \"animal\")"},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"after-interpretation","dir":"Reference","previous_headings":"","what":"After Interpretation","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"using .sir(), can use eucast_rules() defined EUCAST (1) apply inferred susceptibility resistance based results antimicrobials (2) apply intrinsic resistance based taxonomic properties microorganism.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"machine-readable-clinical-breakpoints","dir":"Reference","previous_headings":"","what":"Machine-Readable Clinical Breakpoints","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"repository package contains machine-readable version guidelines. CSV file consisting 29 883 rows 13 columns. file machine-readable, since contains one row every unique combination test method (MIC disk diffusion), antimicrobial drug microorganism. allows easy implementation rules laboratory information systems (LIS). Note contains interpretation guidelines humans - interpretation guidelines CLSI animals removed.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"other","dir":"Reference","previous_headings":"","what":"Other","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"function .sir() detects input contains class sir. input data.frame, iterates columns returns logical vector. function is_sir_eligible() returns TRUE columns contains 5% invalid antimicrobial interpretations (S //R), FALSE otherwise. threshold 5% can set threshold argument. input data.frame, iterates columns returns logical vector.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"interpretation-of-sir","dir":"Reference","previous_headings":"","what":"Interpretation of SIR","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"2019, European Committee Antimicrobial Susceptibility Testing (EUCAST) decided change definitions susceptibility testing categories S, , R shown (https://www.eucast.org/newsiandr): S - Susceptible, standard dosing regimen microorganism categorised \"Susceptible, standard dosing regimen\", high likelihood therapeutic success using standard dosing regimen agent. - Susceptible, increased exposure  microorganism categorised \"Susceptible, Increased exposure\" high likelihood therapeutic success exposure agent increased adjusting dosing regimen concentration site infection. R = Resistant microorganism categorised \"Resistant\" high likelihood therapeutic failure even increased exposure. Exposure function mode administration, dose, dosing interval, infusion time, well distribution excretion antimicrobial agent influence infecting organism site infection. AMR package honours insight. Use susceptibility() (equal proportion_SI()) determine antimicrobial susceptibility count_susceptible() (equal count_SI()) count susceptible isolates.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"","code":"example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … summary(example_isolates) # see all SIR results at a glance #>       date              patient               age           gender          #>  Min.   :2002-01-02   Length:2000        Min.   : 0.00   Length:2000        #>  1st Qu.:2005-07-31   Class :character   1st Qu.:63.00   Class :character   #>  Median :2009-07-31   Mode  :character   Median :74.00   Mode  :character   #>  Mean   :2009-11-20                      Mean   :70.69                      #>  3rd Qu.:2014-05-30                      3rd Qu.:82.00                      #>  Max.   :2017-12-28                      Max.   :97.00                      #>      ward                mo                  PEN                 #>  Length:2000        Class :mo             Class:sir              #>  Class :character   <NA>  :0              %R   :73.7% (n=1201)   #>  Mode  :character   Unique:90             %SI  :26.3% (n=428)    #>                     #1    :B_ESCHR_COLI   - %S :25.6% (n=417)    #>                     #2    :B_STPHY_CONS   - %I : 0.7% (n=11)     #>                     #3    :B_STPHY_AURS                          #>     OXA                   FLC                   AMX                #>  Class:sir             Class:sir             Class:sir             #>  %R   :31.2% (n=114)   %R   :29.5% (n=278)   %R   :59.6% (n=804)   #>  %SI  :68.8% (n=251)   %SI  :70.5% (n=665)   %SI  :40.4% (n=546)   #>  - %S :68.8% (n=251)   - %S :70.5% (n=665)   - %S :40.2% (n=543)   #>  - %I : 0.0% (n=0)     - %I : 0.0% (n=0)     - %I : 0.2% (n=3)     #>                                                                    #>     AMC                    AMP                   TZP                #>  Class:sir              Class:sir             Class:sir             #>  %R   :23.7% (n=446)    %R   :59.6% (n=804)   %R   :12.6% (n=126)   #>  %SI  :76.3% (n=1433)   %SI  :40.4% (n=546)   %SI  :87.4% (n=875)   #>  - %S :71.4% (n=1342)   - %S :40.2% (n=543)   - %S :86.1% (n=862)   #>  - %I : 4.8% (n=91)     - %I : 0.2% (n=3)     - %I : 1.3% (n=13)    #>                                                                     #>     CZO                   FEP                   CXM                 #>  Class:sir             Class:sir             Class:sir              #>  %R   :44.6% (n=199)   %R   :14.2% (n=103)   %R   :26.3% (n=470)    #>  %SI  :55.4% (n=247)   %SI  :85.8% (n=621)   %SI  :73.7% (n=1319)   #>  - %S :54.9% (n=245)   - %S :85.6% (n=620)   - %S :72.5% (n=1297)   #>  - %I : 0.4% (n=2)     - %I : 0.1% (n=1)     - %I : 1.2% (n=22)     #>                                                                     #>     FOX                   CTX                   CAZ                 #>  Class:sir             Class:sir             Class:sir              #>  %R   :27.4% (n=224)   %R   :15.5% (n=146)   %R   :66.5% (n=1204)   #>  %SI  :72.6% (n=594)   %SI  :84.5% (n=797)   %SI  :33.5% (n=607)    #>  - %S :71.6% (n=586)   - %S :84.4% (n=796)   - %S :33.5% (n=607)    #>  - %I : 1.0% (n=8)     - %I : 0.1% (n=1)     - %I : 0.0% (n=0)      #>                                                                     #>     CRO                   GEN                    TOB                #>  Class:sir             Class:sir              Class:sir             #>  %R   :15.5% (n=146)   %R   :24.6% (n=456)    %R   :34.4% (n=465)   #>  %SI  :84.5% (n=797)   %SI  :75.4% (n=1399)   %SI  :65.6% (n=886)   #>  - %S :84.4% (n=796)   - %S :74.0% (n=1372)   - %S :65.1% (n=879)   #>  - %I : 0.1% (n=1)     - %I : 1.5% (n=27)     - %I : 0.5% (n=7)     #>                                                                     #>     AMK                   KAN                    TMP                #>  Class:sir             Class:sir              Class:sir             #>  %R   :63.7% (n=441)   %R   :100.0% (n=471)   %R   :38.1% (n=571)   #>  %SI  :36.3% (n=251)   %SI  : 0.0% (n=0)      %SI  :61.9% (n=928)   #>  - %S :36.3% (n=251)   - %S : 0.0% (n=0)      - %S :61.2% (n=918)   #>  - %I : 0.0% (n=0)     - %I : 0.0% (n=0)      - %I : 0.7% (n=10)    #>                                                                     #>     SXT                    NIT                   FOS                #>  Class:sir              Class:sir             Class:sir             #>  %R   :20.5% (n=361)    %R   :17.1% (n=127)   %R   :42.2% (n=148)   #>  %SI  :79.5% (n=1398)   %SI  :82.9% (n=616)   %SI  :57.8% (n=203)   #>  - %S :79.1% (n=1392)   - %S :76.0% (n=565)   - %S :57.8% (n=203)   #>  - %I : 0.3% (n=6)      - %I : 6.9% (n=51)    - %I : 0.0% (n=0)     #>                                                                     #>     LNZ                   CIP                    MFX                #>  Class:sir             Class:sir              Class:sir             #>  %R   :69.3% (n=709)   %R   :16.2% (n=228)    %R   :33.6% (n=71)    #>  %SI  :30.7% (n=314)   %SI  :83.8% (n=1181)   %SI  :66.4% (n=140)   #>  - %S :30.7% (n=314)   - %S :78.9% (n=1112)   - %S :64.5% (n=136)   #>  - %I : 0.0% (n=0)     - %I : 4.9% (n=69)     - %I : 1.9% (n=4)     #>                                                                     #>     VAN                    TEC                   TCY                #>  Class:sir              Class:sir             Class:sir             #>  %R   :38.3% (n=712)    %R   :75.7% (n=739)   %R   :29.8% (n=357)   #>  %SI  :61.7% (n=1149)   %SI  :24.3% (n=237)   %SI  :70.3% (n=843)   #>  - %S :61.7% (n=1149)   - %S :24.3% (n=237)   - %S :68.3% (n=820)   #>  - %I : 0.0% (n=0)      - %I : 0.0% (n=0)     - %I : 1.9% (n=23)    #>                                                                     #>     TGC                   DOX                   ERY                 #>  Class:sir             Class:sir             Class:sir              #>  %R   :12.7% (n=101)   %R   :27.7% (n=315)   %R   :57.2% (n=1084)   #>  %SI  :87.3% (n=697)   %SI  :72.3% (n=821)   %SI  :42.8% (n=810)    #>  - %S :87.3% (n=697)   - %S :71.7% (n=814)   - %S :42.3% (n=801)    #>  - %I : 0.0% (n=0)     - %I : 0.6% (n=7)     - %I : 0.5% (n=9)      #>                                                                     #>     CLI                   AZM                    IPM                #>  Class:sir             Class:sir              Class:sir             #>  %R   :61.2% (n=930)   %R   :57.2% (n=1084)   %R   : 6.2% (n=55)    #>  %SI  :38.8% (n=590)   %SI  :42.8% (n=810)    %SI  :93.8% (n=834)   #>  - %S :38.6% (n=586)   - %S :42.3% (n=801)    - %S :92.7% (n=824)   #>  - %I : 0.3% (n=4)     - %I : 0.5% (n=9)      - %I : 1.1% (n=10)    #>                                                                     #>     MEM                   MTR                  CHL                #>  Class:sir             Class:sir            Class:sir             #>  %R   : 5.9% (n=49)    %R   :14.7% (n=5)    %R   :21.4% (n=33)    #>  %SI  :94.1% (n=780)   %SI  :85.3% (n=29)   %SI  :78.6% (n=121)   #>  - %S :94.1% (n=780)   - %S :85.3% (n=29)   - %S :78.6% (n=121)   #>  - %I : 0.0% (n=0)     - %I : 0.0% (n=0)    - %I : 0.0% (n=0)     #>                                                                   #>     COL                    MUP                   RIF                #>  Class:sir              Class:sir             Class:sir             #>  %R   :81.2% (n=1331)   %R   : 5.9% (n=16)    %R   :69.6% (n=698)   #>  %SI  :18.8% (n=309)    %SI  :94.1% (n=254)   %SI  :30.4% (n=305)   #>  - %S :18.8% (n=309)    - %S :93.0% (n=251)   - %S :30.2% (n=303)   #>  - %I : 0.0% (n=0)      - %I : 1.1% (n=3)     - %I : 0.2% (n=2)     #>                                                                      # For INTERPRETING disk diffusion and MIC values -----------------------  # a whole data set, even with combined MIC values and disk zones df <- data.frame(   microorganism = \"Escherichia coli\",   AMP = as.mic(8),   CIP = as.mic(0.256),   GEN = as.disk(18),   TOB = as.disk(16),   ERY = \"R\" ) as.sir(df) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: column 'AMP' (ampicillin), EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: column 'CIP' (ciprofloxacin), EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> Interpreting disk diffusion zones: column 'GEN' (gentamicin), EUCAST #> 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for gentamicin (GEN) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting disk diffusion zones: column 'TOB' (tobramycin), EUCAST #> 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for tobramycin (TOB) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Assigning class 'sir' to already clean column 'ERY' (erythromycin)... #>  OK  #>      microorganism AMP CIP GEN TOB ERY #> 1 Escherichia coli   S   I   S   S   R  # return a 'logbook' about the results: sir_interpretation_history() #> # A tibble: 13 × 14 #>    datetime            index ab_user    mo_user    ab   mo                input #>    <dttm>              <int> <chr>      <chr>      <ab> <mo>              <dbl> #>  1 2024-02-25 16:00:49     1 TOB        Escherich… TOB  B_[ORD]_ENTRBCTR 16     #>  2 2024-02-25 16:00:49     1 GEN        Escherich… GEN  B_[ORD]_ENTRBCTR 18     #>  3 2024-02-25 16:00:48     1 CIP        Escherich… CIP  B_[ORD]_ENTRBCTR  0.256 #>  4 2024-02-25 16:00:48     1 AMP        Escherich… AMP  B_[ORD]_ENTRBCTR  8     #>  5 2024-02-25 16:00:44     1 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      0.01  #>  6 2024-02-25 16:00:44     2 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      2     #>  7 2024-02-25 16:00:44     3 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      4     #>  8 2024-02-25 16:00:44     4 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      8     #>  9 2024-02-25 16:00:44     1 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      2     #> 10 2024-02-25 16:00:44     1 TOB        Escherich… TOB  B_[ORD]_ENTRBCTR 16     #> 11 2024-02-25 16:00:44     1 GEN        Escherich… GEN  B_[ORD]_ENTRBCTR 18     #> 12 2024-02-25 16:00:44     1 AMP        Escherich… AMP  B_[ORD]_ENTRBCTR 20     #> 13 2024-02-25 16:00:43     1 ampicillin Strep pneu AMP  B_STRPT_PNMN     18     #> # ℹ 7 more variables: outcome <sir>, method <chr>, breakpoint_S_R <chr>, #> #   guideline <chr>, host <chr>, ref_table <chr>, uti <lgl>  # for single values as.sir(   x = as.mic(2),   mo = as.mo(\"S. pneumoniae\"),   ab = \"AMP\",   guideline = \"EUCAST\" ) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin), EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ampicillin (AMP) in Streptococcus #>      pneumoniae - assuming body site 'Non-meningitis'. #> Class 'sir' #> [1] R  as.sir(   x = as.disk(18),   mo = \"Strep pneu\", # `mo` will be coerced with as.mo()   ab = \"ampicillin\", # and `ab` with as.ab()   guideline = \"EUCAST\" ) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting disk diffusion zones: 'ampicillin' (AMP), EUCAST 2023... #>  OK  #> Class 'sir' #> [1] R  # \\donttest{ # the dplyr way if (require(\"dplyr\")) {   df %>% mutate_if(is.mic, as.sir)   df %>% mutate_if(function(x) is.mic(x) | is.disk(x), as.sir)   df %>% mutate(across(where(is.mic), as.sir))   df %>% mutate_at(vars(AMP:TOB), as.sir)   df %>% mutate(across(AMP:TOB, as.sir))    df %>%     mutate_at(vars(AMP:TOB), as.sir, mo = .$microorganism)    # to include information about urinary tract infections (UTI)   data.frame(     mo = \"E. coli\",     NIT = c(\"<= 2\", 32),     from_the_bladder = c(TRUE, FALSE)   ) %>%     as.sir(uti = \"from_the_bladder\")    data.frame(     mo = \"E. coli\",     NIT = c(\"<= 2\", 32),     specimen = c(\"urine\", \"blood\")   ) %>%     as.sir() # automatically determines urine isolates    df %>%     mutate_at(vars(AMP:TOB), as.sir, mo = \"E. coli\", uti = TRUE) } #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> Interpreting disk diffusion zones: 'GEN' (gentamicin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for gentamicin (GEN) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting disk diffusion zones: 'TOB' (tobramycin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for tobramycin (TOB) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> Interpreting disk diffusion zones: 'GEN' (gentamicin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for gentamicin (GEN) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting disk diffusion zones: 'TOB' (tobramycin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for tobramycin (TOB) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> Interpreting disk diffusion zones: 'GEN' (gentamicin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for gentamicin (GEN) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting disk diffusion zones: 'TOB' (tobramycin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for tobramycin (TOB) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin), EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin), EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> Interpreting disk diffusion zones: 'GEN' (gentamicin), EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for gentamicin (GEN) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting disk diffusion zones: 'TOB' (tobramycin), EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for tobramycin (TOB) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: column 'NIT' (nitrofurantoin), EUCAST 2023... #>  OK  #> ℹ Assuming value \"urine\" in column 'specimen' reflects a urinary tract #>   infection. #>   Use as.sir(uti = FALSE) to prevent this. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: column 'NIT' (nitrofurantoin), EUCAST 2023... #>  OK  #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin), EUCAST 2023... #>  OK  #> Interpreting MIC values: 'CIP' (ciprofloxacin), EUCAST 2023... #>  OK  #> Interpreting disk diffusion zones: 'GEN' (gentamicin), EUCAST 2023... #>  OK  #> Interpreting disk diffusion zones: 'TOB' (tobramycin), EUCAST 2023... #>  OK  #>      microorganism AMP  CIP GEN TOB ERY #> 1 Escherichia coli   S <NA>   S   S   R  # For CLEANING existing SIR values ------------------------------------  as.sir(c(\"S\", \"I\", \"R\", \"A\", \"B\", \"C\")) #> Warning: in as.sir(): 3 results in column '24' truncated (50%) that were invalid #> antimicrobial interpretations: \"A\", \"B\", and \"C\" #> Class 'sir' #> [1] S    I    R    <NA> <NA> <NA> as.sir(\"<= 0.002; S\") # will return \"S\" #> Class 'sir' #> [1] S sir_data <- as.sir(c(rep(\"S\", 474), rep(\"I\", 36), rep(\"R\", 370))) is.sir(sir_data) #> [1] TRUE plot(sir_data) # for percentages  barplot(sir_data) # for frequencies   # the dplyr way if (require(\"dplyr\")) {   example_isolates %>%     mutate_at(vars(PEN:RIF), as.sir)   # same:   example_isolates %>%     as.sir(PEN:RIF)    # fastest way to transform all columns with already valid AMR results to class `sir`:   example_isolates %>%     mutate_if(is_sir_eligible, as.sir)    # since dplyr 1.0.0, this can also be:   # example_isolates %>%   #   mutate(across(where(is_sir_eligible), as.sir)) } #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … # }"},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":null,"dir":"Reference","previous_headings":"","what":"Get ATC Properties from WHOCC Website — atc_online_property","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"Gets data WHOCC website determine properties Anatomical Therapeutic Chemical (ATC) (e.g. antibiotic), name, defined daily dose (DDD) standard unit.","code":""},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"","code":"atc_online_property(   atc_code,   property,   administration = \"O\",   url = \"https://www.whocc.no/atc_ddd_index/?code=%s&showdescription=no\",   url_vet = \"https://www.whocc.no/atcvet/atcvet_index/?code=%s&showdescription=no\" )  atc_online_groups(atc_code, ...)  atc_online_ddd(atc_code, ...)  atc_online_ddd_units(atc_code, ...)"},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"https://www.whocc./atc_ddd_alterations__cumulative/ddd_alterations/abbrevations/","code":""},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"atc_code character (vector) ATC code(s) antibiotics, coerced .ab() ab_atc() internally valid ATC code property property ATC code. Valid values \"ATC\", \"Name\", \"DDD\", \"U\" (\"unit\"), \"Adm.R\", \"Note\" groups. last option, hierarchical groups ATC code returned, see Examples. administration type administration using property = \"Adm.R\", see Details url url website WHOCC. sign %s can used placeholder ATC codes. url_vet url website WHOCC veterinary medicine. sign %s can used placeholder ATC_vet codes (start \"Q\"). ... arguments pass atc_property","code":""},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"Options argument administration: \"Implant\" = Implant \"Inhal\" = Inhalation \"Instill\" = Instillation \"N\" = nasal \"O\" = oral \"P\" = parenteral \"R\" = rectal \"SL\" = sublingual/buccal \"TD\" = transdermal \"V\" = vaginal Abbreviations return values using property = \"U\" (unit): \"g\" = gram \"mg\" = milligram \"mcg\" = microgram \"U\" = unit \"TU\" = thousand units \"MU\" = million units \"mmol\" = millimole \"ml\" = millilitre (e.g. eyedrops) N.B. function requires internet connection works following packages installed: curl, rvest, xml2.","code":""},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"","code":"# \\donttest{ if (requireNamespace(\"curl\") && requireNamespace(\"rvest\") && requireNamespace(\"xml2\")) {   # oral DDD (Defined Daily Dose) of amoxicillin   atc_online_property(\"J01CA04\", \"DDD\", \"O\")   atc_online_ddd(ab_atc(\"amox\"))    # parenteral DDD (Defined Daily Dose) of amoxicillin   atc_online_property(\"J01CA04\", \"DDD\", \"P\")    atc_online_property(\"J01CA04\", property = \"groups\") # search hierarchical groups of amoxicillin } #> Loading required namespace: rvest #> [1] \"ANTIINFECTIVES FOR SYSTEMIC USE\"         #> [2] \"ANTIBACTERIALS FOR SYSTEMIC USE\"         #> [3] \"BETA-LACTAM ANTIBACTERIALS, PENICILLINS\" #> [4] \"Penicillins with extended spectrum\"      # }"},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"Use function e.g. clinical texts health care records. returns list antiviral drugs, doses forms administration found texts.","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"","code":"av_from_text(   text,   type = c(\"drug\", \"dose\", \"administration\"),   collapse = NULL,   translate_av = FALSE,   thorough_search = NULL,   info = interactive(),   ... )"},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"text text analyse type type property search , either \"drug\", \"dose\" \"administration\", see Examples collapse character pass paste(, collapse = ...) return one character per element text, see Examples translate_av type = \"drug\": column name antivirals data set translate antibiotic abbreviations , using av_property(). default FALSE. Using TRUE equal using \"name\". thorough_search logical indicate whether input must extensively searched misspelling faulty input values. Setting TRUE take considerably time using FALSE. default, turn TRUE input elements contain maximum three words. info logical indicate whether progress bar printed - default TRUE interactive mode ... arguments passed .av()","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"list,  character collapse NULL","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"function also internally used .av(), although searches first drug name throw note drug names returned. Note: .av() function may use long regular expression match brand names antiviral drugs. may fail systems.","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"argument-type","dir":"Reference","previous_headings":"","what":"Argument type","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"default, function search antiviral drug names. text elements searched official names, ATC codes brand names. uses .av() internally, correct misspelling. type = \"dose\" (similar, like \"dosing\", \"doses\"), text elements searched numeric values higher 100 resemble years. output numeric. supports unit (g, mg, IE, etc.) multiple values one clinical text, see Examples. type = \"administration\" (abbreviations, like \"admin\", \"adm\"), text elements searched form drug administration. supports following forms (including common abbreviations): buccal, implant, inhalation, instillation, intravenous, nasal, oral, parenteral, rectal, sublingual, transdermal vaginal. Abbreviations oral ('po', 'per os') become \"oral\", values intravenous ('iv', 'intraven') become \"iv\". supports multiple values one clinical text, see Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"argument-collapse","dir":"Reference","previous_headings":"","what":"Argument collapse","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"Without using collapse, function return list. can convenient use e.g. inside mutate()):df %>% mutate(avx = av_from_text(clinical_text)) returned AV codes can transformed official names, groups, etc. av_* functions av_name() av_group(), using translate_av argument. using collapse, function return character:df %>% mutate(avx = av_from_text(clinical_text, collapse = \"|\"))","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"","code":"av_from_text(\"28/03/2020 valaciclovir po tid\") #> [[1]] #> Class 'av' #> [1] VALA #>  av_from_text(\"28/03/2020 valaciclovir po tid\", type = \"admin\") #> [[1]] #> [1] \"oral\" #>"},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Properties of an Antiviral Drug — av_property","title":"Get Properties of an Antiviral Drug — av_property","text":"Use functions return specific property antiviral drug antivirals data set. input values evaluated internally .av().","code":""},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Properties of an Antiviral Drug — av_property","text":"","code":"av_name(x, language = get_AMR_locale(), tolower = FALSE, ...)  av_cid(x, ...)  av_synonyms(x, ...)  av_tradenames(x, ...)  av_group(x, language = get_AMR_locale(), ...)  av_atc(x, ...)  av_loinc(x, ...)  av_ddd(x, administration = \"oral\", ...)  av_ddd_units(x, administration = \"oral\", ...)  av_info(x, language = get_AMR_locale(), ...)  av_url(x, open = FALSE, ...)  av_property(x, property = \"name\", language = get_AMR_locale(), ...)"},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Properties of an Antiviral Drug — av_property","text":"x (vector ) text can coerced valid antiviral drug code .av() language language returned text - default system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. tolower logical indicate whether first character every output transformed lower case character. ... arguments passed .av() administration way administration, either \"oral\" \"iv\" open browse URL using utils::browseURL() property one column names one antivirals data set: vector_or(colnames(antivirals), sort = FALSE).","code":""},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Properties of an Antiviral Drug — av_property","text":"integer case av_cid() named list case av_info() multiple av_atc()/av_synonyms()/av_tradenames() double case av_ddd() character cases","code":""},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get Properties of an Antiviral Drug — av_property","text":"output translated possible. function av_url() return direct URL official website. warning returned required ATC code available.","code":""},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Get Properties of an Antiviral Drug — av_property","text":"World Health Organization () Collaborating Centre Drug Statistics Methodology: https://www.whocc./atc_ddd_index/ European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm","code":""},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Get Properties of an Antiviral Drug — av_property","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get Properties of an Antiviral Drug — av_property","text":"","code":"# all properties: av_name(\"ACI\") #> [1] \"Aciclovir\" av_atc(\"ACI\") #> [1] \"J05AB01\" av_cid(\"ACI\") #> [1] 135398513 av_synonyms(\"ACI\") #>  [1] \"acicloftal\"        \"aciclovier\"        \"aciclovirum\"       #>  [4] \"activir\"           \"acyclofoam\"        \"acycloguanosine\"   #>  [7] \"acyclovir\"         \"acyclovir lauriad\" \"avaclyr\"           #> [10] \"cargosil\"          \"cyclovir\"          \"genvir\"            #> [13] \"gerpevir\"          \"hascovir\"          \"maynar\"            #> [16] \"novirus\"           \"poviral\"           \"sitavig\"           #> [19] \"sitavir\"           \"vipral\"            \"viropump\"          #> [22] \"virorax\"           \"zovirax\"           \"zyclir\"            av_tradenames(\"ACI\") #>  [1] \"acicloftal\"        \"aciclovier\"        \"aciclovirum\"       #>  [4] \"activir\"           \"acyclofoam\"        \"acycloguanosine\"   #>  [7] \"acyclovir\"         \"acyclovir lauriad\" \"avaclyr\"           #> [10] \"cargosil\"          \"cyclovir\"          \"genvir\"            #> [13] \"gerpevir\"          \"hascovir\"          \"maynar\"            #> [16] \"novirus\"           \"poviral\"           \"sitavig\"           #> [19] \"sitavir\"           \"vipral\"            \"viropump\"          #> [22] \"virorax\"           \"zovirax\"           \"zyclir\"            av_group(\"ACI\") #> [1] \"Nucleosides and nucleotides excl. reverse transcriptase inhibitors\" av_url(\"ACI\") #>                                                             Aciclovir  #> \"https://www.whocc.no/atc_ddd_index/?code=J05AB01&showdescription=no\"   # lowercase transformation av_name(x = c(\"ACI\", \"VALA\")) #> [1] \"Aciclovir\"    \"Valaciclovir\" av_name(x = c(\"ACI\", \"VALA\"), tolower = TRUE) #> [1] \"aciclovir\"    \"valaciclovir\"  # defined daily doses (DDD) av_ddd(\"ACI\", \"oral\") #> [1] 4 av_ddd_units(\"ACI\", \"oral\") #> [1] \"g\" av_ddd(\"ACI\", \"iv\") #> [1] 4 av_ddd_units(\"ACI\", \"iv\") #> [1] \"g\"  av_info(\"ACI\") # all properties as a list #> $av #> [1] \"ACI\" #>  #> $cid #> [1] 135398513 #>  #> $name #> [1] \"Aciclovir\" #>  #> $group #> [1] \"Nucleosides and nucleotides excl. reverse transcriptase inhibitors\" #>  #> $atc #> [1] \"J05AB01\" #>  #> $tradenames #>  [1] \"acicloftal\"        \"aciclovier\"        \"aciclovirum\"       #>  [4] \"activir\"           \"acyclofoam\"        \"acycloguanosine\"   #>  [7] \"acyclovir\"         \"acyclovir lauriad\" \"avaclyr\"           #> [10] \"cargosil\"          \"cyclovir\"          \"genvir\"            #> [13] \"gerpevir\"          \"hascovir\"          \"maynar\"            #> [16] \"novirus\"           \"poviral\"           \"sitavig\"           #> [19] \"sitavir\"           \"vipral\"            \"viropump\"          #> [22] \"virorax\"           \"zovirax\"           \"zyclir\"            #>  #> $loinc #> [1] \"\" #>  #> $ddd #> $ddd$oral #> $ddd$oral$amount #> [1] 4 #>  #> $ddd$oral$units #> [1] \"g\" #>  #>  #> $ddd$iv #> $ddd$iv$amount #> [1] 4 #>  #> $ddd$iv$units #> [1] \"g\" #>  #>  #>   # all av_* functions use as.av() internally, so you can go from 'any' to 'any': av_atc(\"ACI\") #> [1] \"J05AB01\" av_group(\"J05AB01\") #> [1] \"Nucleosides and nucleotides excl. reverse transcriptase inhibitors\" av_loinc(\"abacavir\") #> [1] \"29113-8\" \"30273-7\" \"30287-7\" \"30303-2\" \"78772-1\" \"78773-9\" \"79134-3\" #> [8] \"80118-3\" av_name(\"29113-8\") #> [1] \"Abacavir\" av_name(135398513) #> [1] \"Aciclovir\" av_name(\"J05AB01\") #> [1] \"Aciclovir\""},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":null,"dir":"Reference","previous_headings":"","what":"Check Availability of Columns — availability","title":"Check Availability of Columns — availability","text":"Easy check data availability columns data set. makes easy get idea antimicrobial combinations can used calculation e.g. susceptibility() resistance().","code":""},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check Availability of Columns — availability","text":"","code":"availability(tbl, width = NULL)"},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check Availability of Columns — availability","text":"tbl data.frame list width number characters present visual availability - default filling width console","code":""},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check Availability of Columns — availability","text":"data.frame column names tbl row names","code":""},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Check Availability of Columns — availability","text":"function returns data.frame columns \"resistant\" \"visual_resistance\". values columns calculated resistance().","code":""},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check Availability of Columns — availability","text":"","code":"availability(example_isolates) #>         count available     visual_availabilty resistant      visual_resistance #> date     2000    100.0% |####################|                                  #> patient  2000    100.0% |####################|                                  #> age      2000    100.0% |####################|                                  #> gender   2000    100.0% |####################|                                  #> ward     2000    100.0% |####################|                                  #> mo       2000    100.0% |####################|                                  #> PEN      1629     81.5% |################----|     73.7% |##############------| #> OXA       365     18.3% |###-----------------|     31.2% |######--------------| #> FLC       943     47.2% |#########-----------|     29.5% |#####---------------| #> AMX      1350     67.5% |#############-------|     59.6% |###########---------| #> AMC      1879     94.0% |##################--|     23.7% |####----------------| #> AMP      1350     67.5% |#############-------|     59.6% |###########---------| #> TZP      1001     50.0% |##########----------|     12.6% |##------------------| #> CZO       446     22.3% |####----------------|     44.6% |########------------| #> FEP       724     36.2% |#######-------------|     14.2% |##------------------| #> CXM      1789     89.5% |#################---|     26.3% |#####---------------| #> FOX       818     40.9% |########------------|     27.4% |#####---------------| #> CTX       943     47.2% |#########-----------|     15.5% |###-----------------| #> CAZ      1811     90.6% |##################--|     66.5% |#############-------| #> CRO       943     47.2% |#########-----------|     15.5% |###-----------------| #> GEN      1855     92.8% |##################--|     24.6% |####----------------| #> TOB      1351     67.6% |#############-------|     34.4% |######--------------| #> AMK       692     34.6% |######--------------|     63.7% |############--------| #> KAN       471     23.6% |####----------------|    100.0% |####################| #> TMP      1499     75.0% |###############-----|     38.1% |#######-------------| #> SXT      1759     88.0% |#################---|     20.5% |####----------------| #> NIT       743     37.2% |#######-------------|     17.1% |###-----------------| #> FOS       351     17.6% |###-----------------|     42.2% |########------------| #> LNZ      1023     51.2% |##########----------|     69.3% |#############-------| #> CIP      1409     70.5% |#############-------|     16.2% |###-----------------| #> MFX       211     10.6% |##------------------|     33.6% |######--------------| #> VAN      1861     93.1% |##################--|     38.3% |#######-------------| #> TEC       976     48.8% |#########-----------|     75.7% |###############-----| #> TCY      1200     60.0% |###########---------|     29.8% |#####---------------| #> TGC       798     39.9% |########------------|     12.7% |##------------------| #> DOX      1136     56.8% |###########---------|     27.7% |#####---------------| #> ERY      1894     94.7% |##################--|     57.2% |###########---------| #> CLI      1520     76.0% |###############-----|     61.2% |############--------| #> AZM      1894     94.7% |##################--|     57.2% |###########---------| #> IPM       889     44.5% |########------------|      6.2% |#-------------------| #> MEM       829     41.5% |########------------|      5.9% |#-------------------| #> MTR        34      1.7% |--------------------|     14.7% |##------------------| #> CHL       154      7.7% |#-------------------|     21.4% |####----------------| #> COL      1640     82.0% |################----|     81.2% |################----| #> MUP       270     13.5% |##------------------|      5.9% |#-------------------| #> RIF      1003     50.2% |##########----------|     69.6% |#############-------| # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     filter(mo == as.mo(\"Escherichia coli\")) %>%     select_if(is.sir) %>%     availability() } #>     count available       visual_availabilty resistant        visual_resistance #> PEN   467    100.0% |######################|    100.0% |######################| #> OXA     0      0.0% |----------------------|                                    #> FLC     0      0.0% |----------------------|                                    #> AMX   392     83.9% |##################----|     50.0% |###########-----------| #> AMC   467    100.0% |######################|     13.1% |##--------------------| #> AMP   392     83.9% |##################----|     50.0% |###########-----------| #> TZP   416     89.1% |###################---|      5.5% |#---------------------| #> CZO    82     17.6% |###-------------------|      2.4% |----------------------| #> FEP   317     67.9% |##############--------|      2.8% |----------------------| #> CXM   465     99.6% |######################|      5.4% |#---------------------| #> FOX   377     80.7% |#################-----|      6.9% |#---------------------| #> CTX   459     98.3% |#####################-|      2.4% |----------------------| #> CAZ   460     98.5% |#####################-|      2.4% |----------------------| #> CRO   459     98.3% |#####################-|      2.4% |----------------------| #> GEN   460     98.5% |#####################-|      2.0% |----------------------| #> TOB   462     98.9% |#####################-|      2.6% |----------------------| #> AMK   171     36.6% |########--------------|      0.0% |----------------------| #> KAN     0      0.0% |----------------------|                                    #> TMP   396     84.8% |##################----|     39.1% |########--------------| #> SXT   465     99.6% |######################|     31.6% |######----------------| #> NIT   458     98.1% |#####################-|      2.8% |----------------------| #> FOS    61     13.1% |##--------------------|      0.0% |----------------------| #> LNZ   467    100.0% |######################|    100.0% |######################| #> CIP   456     97.6% |#####################-|     12.5% |##--------------------| #> MFX    57     12.2% |##--------------------|    100.0% |######################| #> VAN   467    100.0% |######################|    100.0% |######################| #> TEC   467    100.0% |######################|    100.0% |######################| #> TCY     3      0.6% |----------------------|     66.7% |##############--------| #> TGC    68     14.6% |###-------------------|      0.0% |----------------------| #> DOX     0      0.0% |----------------------|                                    #> ERY   467    100.0% |######################|    100.0% |######################| #> CLI   467    100.0% |######################|    100.0% |######################| #> AZM   467    100.0% |######################|    100.0% |######################| #> IPM   422     90.4% |###################---|      0.0% |----------------------| #> MEM   418     89.5% |###################---|      0.0% |----------------------| #> MTR     2      0.4% |----------------------|      0.0% |----------------------| #> CHL     0      0.0% |----------------------|                                    #> COL   240     51.4% |###########-----------|      0.0% |----------------------| #> MUP     0      0.0% |----------------------|                                    #> RIF   467    100.0% |######################|    100.0% |######################| # }"},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine Bug-Drug Combinations — bug_drug_combinations","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"Determine antimicrobial resistance (AMR) bug-drug combinations data set least 30 (default) isolates available per species. Use format() result prettify publishable/printable format, see Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"","code":"bug_drug_combinations(x, col_mo = NULL, FUN = mo_shortname, ...)  # S3 method for bug_drug_combinations format(   x,   translate_ab = \"name (ab, atc)\",   language = get_AMR_locale(),   minimum = 30,   combine_SI = TRUE,   add_ab_group = TRUE,   remove_intrinsic_resistant = FALSE,   decimal.mark = getOption(\"OutDec\"),   big.mark = ifelse(decimal.mark == \",\", \".\", \",\"),   ... )"},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"x data set antibiotic columns, amox, AMX AMC col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). FUN function call mo column transform microorganism codes - default mo_shortname() ... arguments passed FUN translate_ab character length 1 containing column names antibiotics data set language language returned text - default current system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. minimum minimum allowed number available (tested) isolates. isolate count lower minimum return NA warning. default number 30 isolates advised Clinical Laboratory Standards Institute (CLSI) best practice, see Source. combine_SI logical indicate whether values S summed, resistance based R - default TRUE add_ab_group logical indicate group antimicrobials must included first column remove_intrinsic_resistant logical indicate rows columns 100% resistance tested antimicrobials must removed table decimal.mark character used indicate numeric     decimal point. big.mark character; empty used mark every     big.interval decimals (hence big)     decimal point.","code":""},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"function bug_drug_combinations() returns data.frame columns \"mo\", \"ab\", \"S\", \"\", \"R\" \"total\".","code":""},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"function format() calculates resistance per bug-drug combination returns table ready reporting/publishing. Use combine_SI = TRUE (default) test R vs. S+combine_SI = FALSE test R+vs. S. table can also directly used R Markdown / Quarto without need e.g. knitr::kable().","code":""},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"","code":"# example_isolates is a data set available in the AMR package. # run ?example_isolates for more info. example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  # \\donttest{ x <- bug_drug_combinations(example_isolates) head(x) #> # A tibble: 6 × 6 #>   mo                ab        S     I     R total #>   <chr>             <chr> <int> <int> <int> <int> #> 1 (unknown species) AMC      15     0     0    15 #> 2 (unknown species) AMK       0     0     0     0 #> 3 (unknown species) AMP      15     0     1    16 #> 4 (unknown species) AMX      15     0     1    16 #> 5 (unknown species) AZM       3     0     3     6 #> 6 (unknown species) CAZ       0     0     0     0 #> Use 'format()' on this result to get a publishable/printable format. format(x, translate_ab = \"name (atc)\") #> # A tibble: 39 × 12 #>    Group     Drug  CoNS  `E. coli` `E. faecalis` `K. pneumoniae` `P. aeruginosa` #>    <chr>     <chr> <chr> <chr>     <chr>         <chr>           <chr>           #>  1 \"Aminogl… Amik… \"100… \"  0.0% … \"100.0% (39/… \"\"              \"\"              #>  2 \"\"        Gent… \" 13… \"  2.0% … \"100.0% (39/… \" 10.3% (6/58)\" \"  0.0% (0/30)\" #>  3 \"\"        Kana… \"100… \"\"        \"100.0% (39/… \"\"              \"100.0% (30/30… #>  4 \"\"        Tobr… \" 78… \"  2.6% … \"100.0% (39/… \" 10.3% (6/58)\" \"  0.0% (0/30)\" #>  5 \"Ampheni… Chlo… \"\"    \"\"        \"\"            \"\"              \"100.0% (30/30… #>  6 \"Antimyc… Rifa… \"\"    \"100.0% … \"\"            \"100.0% (58/58… \"100.0% (30/30… #>  7 \"Beta-la… Amox… \" 93… \" 50.0% … \"\"            \"100.0% (58/58… \"100.0% (30/30… #>  8 \"\"        Amox… \" 42… \" 13.1% … \"\"            \" 10.3% (6/58)\" \"100.0% (30/30… #>  9 \"\"        Ampi… \" 93… \" 50.0% … \"\"            \"100.0% (58/58… \"100.0% (30/30… #> 10 \"\"        Benz… \" 77… \"100.0% … \"\"            \"100.0% (58/58… \"100.0% (30/30… #> # ℹ 29 more rows #> # ℹ 5 more variables: `P. mirabilis` <chr>, `S. aureus` <chr>, #> #   `S. epidermidis` <chr>, `S. hominis` <chr>, `S. pneumoniae` <chr>  # Use FUN to change to transformation of microorganism codes bug_drug_combinations(example_isolates,   FUN = mo_gramstain ) #> # A tibble: 80 × 6 #>    mo            ab        S     I     R total #>  * <chr>         <chr> <int> <int> <int> <int> #>  1 Gram-negative AMC     463    89   174   726 #>  2 Gram-negative AMK     251     0     5   256 #>  3 Gram-negative AMP     226     0   405   631 #>  4 Gram-negative AMX     226     0   405   631 #>  5 Gram-negative AZM       1     2   696   699 #>  6 Gram-negative CAZ     607     0    27   634 #>  7 Gram-negative CHL       1     0    30    31 #>  8 Gram-negative CIP     610    11    63   684 #>  9 Gram-negative CLI      18     1   709   728 #> 10 Gram-negative COL     309     0    78   387 #> # ℹ 70 more rows #> Use 'format()' on this result to get a publishable/printable format.  bug_drug_combinations(example_isolates,   FUN = function(x) {     ifelse(x == as.mo(\"Escherichia coli\"),       \"E. coli\",       \"Others\"     )   } ) #> # A tibble: 80 × 6 #>    mo      ab        S     I     R total #>  * <chr>   <chr> <int> <int> <int> <int> #>  1 E. coli AMC     332    74    61   467 #>  2 E. coli AMK     171     0     0   171 #>  3 E. coli AMP     196     0   196   392 #>  4 E. coli AMX     196     0   196   392 #>  5 E. coli AZM       0     0   467   467 #>  6 E. coli CAZ     449     0    11   460 #>  7 E. coli CHL       0     0     0     0 #>  8 E. coli CIP     398     1    57   456 #>  9 E. coli CLI       0     0   467   467 #> 10 E. coli COL     240     0     0   240 #> # ℹ 70 more rows #> Use 'format()' on this result to get a publishable/printable format. # }"},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"Data set containing clinical breakpoints interpret MIC disk diffusion SIR values, according international guidelines. dataset contain breakpoints humans, 7 different animal groups, ECOFFs. Currently available breakpoint guidelines clinical microbiology EUCAST 2011-2023 CLSI 2011-2023. Currently available breakpoint guidelines veterinary microbiology EUCAST 2021-2023 CLSI 2019-2023. Use .sir() transform MICs disks measurements SIR values.","code":""},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"","code":"clinical_breakpoints"},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"tibble 29 883 observations 13 variables: guideline Name guideline type Breakpoint type, either \"ECOFF\", \"animal\", \"human\" host Host infectious agent. mostly useful veterinary breakpoints either \"ECOFF\", \"aquatic\", \"cats\", \"cattle\", \"dogs\", \"horse\", \"human\", \"poultry\", \"swine\" method Testing method, either \"DISK\" \"MIC\" site Body site breakpoint must applied, e.g. \"Oral\" \"Respiratory\" mo Microbial ID, see .mo() rank_index Taxonomic rank index mo 1 (subspecies/infraspecies) 5 (unknown microorganism) ab Antibiotic code used package, EARS-Net WHONET, see .ab() ref_tbl Info guideline rule can found disk_dose Dose used disk diffusion method breakpoint_S Lowest MIC value highest number millimetres leads \"S\" breakpoint_R Highest MIC value lowest number millimetres leads \"R\" uti logical value (TRUE/FALSE) indicate whether rule applies urinary tract infection (UTI)","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"different-types-of-breakpoints","dir":"Reference","previous_headings":"","what":"Different types of breakpoints","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"Supported types breakpoints ECOFF, animal, human. ECOFF (Epidemiological cut-) values used antimicrobial susceptibility testing differentiate wild-type non-wild-type strains bacteria fungi. default \"human\", can also set package option AMR_breakpoint_type. Use .sir(..., breakpoint_type = ...) interpret raw data using specific breakpoint type, e.g. .sir(..., breakpoint_type = \"ECOFF\") use ECOFFs.","code":""},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"imported-from-whonet","dir":"Reference","previous_headings":"","what":"Imported from WHONET","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"Clinical breakpoints package validated imported WHONET, free desktop Windows application developed supported Collaborating Centre Surveillance Antimicrobial Resistance. can read website. developers WHONET AMR package contact sharing work. highly appreciate development WHONET software.","code":""},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"response-from-clsi-and-eucast","dir":"Reference","previous_headings":"","what":"Response from CLSI and EUCAST","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"CEO CLSI chairman EUCAST endorsed work public use AMR package (consequently use breakpoints) June 2023, future development distributing clinical breakpoints discussed meeting CLSI, EUCAST, , developers WHONET AMR package.","code":""},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"download","dir":"Reference","previous_headings":"","what":"Download","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository. allow machine reading EUCAST CLSI guidelines, almost impossible MS Excel PDF files distributed EUCAST CLSI, though initiatives started overcome burdens. NOTE: AMR package (WHONET software well) contains internal methods apply guidelines, rather complex. example, breakpoints must applied certain species groups (case package available microorganisms.groups data set). important considered using breakpoints use.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"","code":"clinical_breakpoints #> # A tibble: 29,883 × 13 #>    guideline   type  host  method site    mo            rank_index ab   ref_tbl  #>    <chr>       <chr> <chr> <chr>  <chr>   <mo>               <dbl> <ab> <chr>    #>  1 EUCAST 2023 human human DISK   NA      B_ACHRMB_XYLS          2 MEM  A. xylo… #>  2 EUCAST 2023 human human MIC    NA      B_ACHRMB_XYLS          2 MEM  A. xylo… #>  3 EUCAST 2023 human human DISK   NA      B_ACHRMB_XYLS          2 SXT  A. xylo… #>  4 EUCAST 2023 human human MIC    NA      B_ACHRMB_XYLS          2 SXT  A. xylo… #>  5 EUCAST 2023 human human DISK   NA      B_ACHRMB_XYLS          2 TZP  A. xylo… #>  6 EUCAST 2023 human human MIC    NA      B_ACHRMB_XYLS          2 TZP  A. xylo… #>  7 EUCAST 2023 human human DISK   NA      B_ACNTB                3 AMK  Acineto… #>  8 EUCAST 2023 human human DISK   Uncomp… B_ACNTB                3 AMK  Acineto… #>  9 EUCAST 2023 human human MIC    NA      B_ACNTB                3 AMK  Acineto… #> 10 EUCAST 2023 human human MIC    Uncomp… B_ACNTB                3 AMK  Acineto… #> # ℹ 29,873 more rows #> # ℹ 4 more variables: disk_dose <chr>, breakpoint_S <dbl>, breakpoint_R <dbl>, #> #   uti <lgl>"},{"path":"https://msberends.github.io/AMR/reference/count.html","id":null,"dir":"Reference","previous_headings":"","what":"Count Available Isolates — count","title":"Count Available Isolates — count","text":"functions can used count resistant/susceptible microbial isolates. functions support quasiquotation pipes, can used summarise() dplyr package also support grouped variables, see Examples. count_resistant() used count resistant isolates, count_susceptible() used count susceptible isolates.","code":""},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Count Available Isolates — count","text":"","code":"count_resistant(..., only_all_tested = FALSE)  count_susceptible(..., only_all_tested = FALSE)  count_R(..., only_all_tested = FALSE)  count_IR(..., only_all_tested = FALSE)  count_I(..., only_all_tested = FALSE)  count_SI(..., only_all_tested = FALSE)  count_S(..., only_all_tested = FALSE)  count_all(..., only_all_tested = FALSE)  n_sir(..., only_all_tested = FALSE)  count_df(   data,   translate_ab = \"name\",   language = get_AMR_locale(),   combine_SI = TRUE )"},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Count Available Isolates — count","text":"... one vectors (columns) antibiotic interpretations. transformed internally .sir() needed. only_all_tested (combination therapies, .e. using one variable ...): logical indicate isolates must tested antibiotics, see section Combination Therapy data data.frame containing columns class sir (see .sir()) translate_ab column name antibiotics data set translate antibiotic abbreviations , using ab_property() language language returned text - default current system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. combine_SI logical indicate whether values S must merged one, output consists S+vs. R (susceptible vs. resistant) - default TRUE","code":""},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Count Available Isolates — count","text":"integer","code":""},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Count Available Isolates — count","text":"functions meant count isolates. Use resistance()/susceptibility() functions calculate microbial resistance/susceptibility. function count_resistant() equal function count_R(). function count_susceptible() equal function count_SI(). function n_sir() alias count_all(). can used count available isolates, .e. input antibiotics available result (S, R). use equal n_distinct(). function equal count_susceptible(...) + count_resistant(...). function count_df() takes variable data sir class (created .sir()) counts number S's, 's R's. also supports grouped variables. function sir_df() works exactly like count_df(), adds percentage S, R.","code":""},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"interpretation-of-sir","dir":"Reference","previous_headings":"","what":"Interpretation of SIR","title":"Count Available Isolates — count","text":"2019, European Committee Antimicrobial Susceptibility Testing (EUCAST) decided change definitions susceptibility testing categories S, , R shown (https://www.eucast.org/newsiandr): S - Susceptible, standard dosing regimen microorganism categorised \"Susceptible, standard dosing regimen\", high likelihood therapeutic success using standard dosing regimen agent. - Susceptible, increased exposure  microorganism categorised \"Susceptible, Increased exposure\" high likelihood therapeutic success exposure agent increased adjusting dosing regimen concentration site infection. R = Resistant microorganism categorised \"Resistant\" high likelihood therapeutic failure even increased exposure. Exposure function mode administration, dose, dosing interval, infusion time, well distribution excretion antimicrobial agent influence infecting organism site infection. AMR package honours insight. Use susceptibility() (equal proportion_SI()) determine antimicrobial susceptibility count_susceptible() (equal count_SI()) count susceptible isolates.","code":""},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"combination-therapy","dir":"Reference","previous_headings":"","what":"Combination Therapy","title":"Count Available Isolates — count","text":"using one variable ... (= combination therapy), use only_all_tested count isolates tested antibiotics/variables test . See example two antibiotics, Drug Drug B, susceptibility() works calculate %SI:   Please note , combination therapies, only_all_tested = TRUE applies :   , combination therapies, only_all_tested = FALSE applies :   Using only_all_tested impact using one antibiotic input.","code":"--------------------------------------------------------------------                     only_all_tested = FALSE  only_all_tested = TRUE                     -----------------------  -----------------------  Drug A    Drug B   include as  include as   include as  include as                     numerator   denominator  numerator   denominator --------  --------  ----------  -----------  ----------  -----------  S or I    S or I       X            X            X            X    R       S or I       X            X            X            X   <NA>     S or I       X            X            -            -  S or I      R          X            X            X            X    R         R          -            X            -            X   <NA>       R          -            -            -            -  S or I     <NA>        X            X            -            -    R        <NA>        -            -            -            -   <NA>      <NA>        -            -            -            - -------------------------------------------------------------------- count_S()    +   count_I()    +   count_R()    = count_all()   proportion_S() + proportion_I() + proportion_R() = 1 count_S()    +   count_I()    +   count_R()    >= count_all()   proportion_S() + proportion_I() + proportion_R() >= 1"},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Count Available Isolates — count","text":"","code":"# example_isolates is a data set available in the AMR package. # run ?example_isolates for more info.  # base R ------------------------------------------------------------ count_resistant(example_isolates$AMX) # counts \"R\" #> [1] 804 count_susceptible(example_isolates$AMX) # counts \"S\" and \"I\" #> [1] 546 count_all(example_isolates$AMX) # counts \"S\", \"I\" and \"R\" #> [1] 1350  # be more specific count_S(example_isolates$AMX) #> Using count_S() is discouraged; use count_susceptible() instead to also #> consider \"I\" being susceptible. This note will be shown once for this #> session. #> [1] 543 count_SI(example_isolates$AMX) #> [1] 546 count_I(example_isolates$AMX) #> [1] 3 count_IR(example_isolates$AMX) #> Using count_IR() is discouraged; use count_resistant() instead to not #> consider \"I\" being resistant. This note will be shown once for this #> session. #> [1] 807 count_R(example_isolates$AMX) #> [1] 804  # Count all available isolates count_all(example_isolates$AMX) #> [1] 1350 n_sir(example_isolates$AMX) #> [1] 1350  # n_sir() is an alias of count_all(). # Since it counts all available isolates, you can # calculate back to count e.g. susceptible isolates. # These results are the same: count_susceptible(example_isolates$AMX) #> [1] 546 susceptibility(example_isolates$AMX) * n_sir(example_isolates$AMX) #> [1] 546  # dplyr ------------------------------------------------------------- # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     group_by(ward) %>%     summarise(       R = count_R(CIP),       I = count_I(CIP),       S = count_S(CIP),       n1 = count_all(CIP), # the actual total; sum of all three       n2 = n_sir(CIP), # same - analogous to n_distinct       total = n()     ) # NOT the number of tested isolates!    # Number of available isolates for a whole antibiotic class   # (i.e., in this data set columns GEN, TOB, AMK, KAN)   example_isolates %>%     group_by(ward) %>%     summarise(across(aminoglycosides(), n_sir))    # Count co-resistance between amoxicillin/clav acid and gentamicin,   # so we can see that combination therapy does a lot more than mono therapy.   # Please mind that `susceptibility()` calculates percentages right away instead.   example_isolates %>% count_susceptible(AMC) # 1433   example_isolates %>% count_all(AMC) # 1879    example_isolates %>% count_susceptible(GEN) # 1399   example_isolates %>% count_all(GEN) # 1855    example_isolates %>% count_susceptible(AMC, GEN) # 1764   example_isolates %>% count_all(AMC, GEN) # 1936    # Get number of S+I vs. R immediately of selected columns   example_isolates %>%     select(AMX, CIP) %>%     count_df(translate = FALSE)    # It also supports grouping variables   example_isolates %>%     select(ward, AMX, CIP) %>%     group_by(ward) %>%     count_df(translate = FALSE) } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 12 × 4 #>    ward       antibiotic interpretation value #>  * <chr>      <chr>      <ord>          <int> #>  1 Clinical   AMX        SI               357 #>  2 Clinical   AMX        R                487 #>  3 Clinical   CIP        SI               741 #>  4 Clinical   CIP        R                128 #>  5 ICU        AMX        SI               158 #>  6 ICU        AMX        R                270 #>  7 ICU        CIP        SI               362 #>  8 ICU        CIP        R                 85 #>  9 Outpatient AMX        SI                31 #> 10 Outpatient AMX        R                 47 #> 11 Outpatient CIP        SI                78 #> 12 Outpatient CIP        R                 15 # }"},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":null,"dir":"Reference","previous_headings":"","what":"Define Custom EUCAST Rules — custom_eucast_rules","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"Define custom EUCAST rules organisation specific analysis use output function eucast_rules().","code":""},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"","code":"custom_eucast_rules(...)"},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"... rules formula notation, see Examples","code":""},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"list containing custom rules","code":""},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"organisations adoption EUCAST rules. function can used define custom EUCAST rules used eucast_rules() function.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"basics","dir":"Reference","previous_headings":"","what":"Basics","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"familiar case_when() function dplyr package, recognise input method set rules. Rules must set using R considers 'formula notation'. rule written tilde (~) consequence rule written tilde:   two custom EUCAST rules: TZP (piperacillin/tazobactam) \"S\", aminopenicillins (ampicillin amoxicillin) must made \"S\", TZP \"R\", aminopenicillins must made \"R\". rules can also printed console, immediately clear work:   rules (part tilde, example TZP == \"S\" TZP == \"R\") must evaluable data set: able run filter data set without errors. means example column TZP must exist. create sample data set test rules set:","code":"x <- custom_eucast_rules(TZP == \"S\" ~ aminopenicillins == \"S\",                          TZP == \"R\" ~ aminopenicillins == \"R\") x #> A set of custom EUCAST rules: #> #>   1. If TZP is \"S\" then set to  S : #>      amoxicillin (AMX), ampicillin (AMP) #> #>   2. If TZP is \"R\" then set to  R : #>      amoxicillin (AMX), ampicillin (AMP) df <- data.frame(mo = c(\"Escherichia coli\", \"Klebsiella pneumoniae\"),                  TZP = as.sir(\"R\"),                  ampi = as.sir(\"S\"),                  cipro = as.sir(\"S\")) df #>                      mo TZP ampi cipro #> 1      Escherichia coli   R    S     S #> 2 Klebsiella pneumoniae   R    S     S  eucast_rules(df, rules = \"custom\", custom_rules = x, info = FALSE) #>                      mo TZP ampi cipro #> 1      Escherichia coli   R    R     S #> 2 Klebsiella pneumoniae   R    R     S"},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"using-taxonomic-properties-in-rules","dir":"Reference","previous_headings":"","what":"Using taxonomic properties in rules","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"one exception columns used rules: column names microorganisms data set can also used, exist data set. column names : \"mo\", \"fullname\", \"status\", \"kingdom\", \"phylum\", \"class\", \"order\", \"family\", \"genus\", \"species\", \"subspecies\", \"rank\", \"ref\", \"oxygen_tolerance\", \"source\", \"lpsn\", \"lpsn_parent\", \"lpsn_renamed_to\", \"gbif\", \"gbif_parent\", \"gbif_renamed_to\", \"prevalence\", \"snomed\". Thus, next example work well, despite fact df data set contain column genus:","code":"y <- custom_eucast_rules(TZP == \"S\" & genus == \"Klebsiella\" ~ aminopenicillins == \"S\",                          TZP == \"R\" & genus == \"Klebsiella\" ~ aminopenicillins == \"R\")  eucast_rules(df, rules = \"custom\", custom_rules = y, info = FALSE) #>                      mo TZP ampi cipro #> 1      Escherichia coli   R    S     S #> 2 Klebsiella pneumoniae   R    R     S"},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"usage-of-antibiotic-group-names","dir":"Reference","previous_headings":"","what":"Usage of antibiotic group names","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"possible define antibiotic groups instead single antibiotics rule consequence, part tilde. examples, antibiotic group aminopenicillins used include ampicillin amoxicillin. following groups allowed (case-insensitive). Within parentheses drugs matched running rule. \"aminoglycosides\"(amikacin, amikacin/fosfomycin, amphotericin B-high, apramycin, arbekacin, astromicin, bekanamycin, dibekacin, framycetin, gentamicin, gentamicin-high, habekacin, hygromycin, isepamicin, kanamycin, kanamycin-high, kanamycin/cephalexin, micronomicin, neomycin, netilmicin, pentisomicin, plazomicin, propikacin, ribostamycin, sisomicin, streptoduocin, streptomycin, streptomycin-high, tobramycin, tobramycin-high) \"aminopenicillins\"(amoxicillin ampicillin) \"antifungals\"(amphotericin B, anidulafungin, butoconazole, caspofungin, ciclopirox, clotrimazole, econazole, fluconazole, flucytosine, fosfluconazole, griseofulvin, hachimycin, ibrexafungerp, isavuconazole, isoconazole, itraconazole, ketoconazole, manogepix, micafungin, miconazole, nystatin, oteseconazole, pimaricin, posaconazole, rezafungin, ribociclib, sulconazole, terbinafine, terconazole, voriconazole) \"antimycobacterials\"(4-aminosalicylic acid, calcium aminosalicylate, capreomycin, clofazimine, delamanid, enviomycin, ethambutol, ethambutol/isoniazid, ethionamide, isoniazid, isoniazid/sulfamethoxazole/trimethoprim/pyridoxine, morinamide, p-aminosalicylic acid, pretomanid, protionamide, pyrazinamide, rifabutin, rifampicin, rifampicin/ethambutol/isoniazid, rifampicin/isoniazid, rifampicin/pyrazinamide/ethambutol/isoniazid, rifampicin/pyrazinamide/isoniazid, rifamycin, rifapentine, simvastatin/fenofibrate, sodium aminosalicylate, streptomycin/isoniazid, terizidone, thioacetazone, thioacetazone/isoniazid, tiocarlide, viomycin) \"betalactams\"(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, aztreonam/nacubactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, biapenem, carbenicillin, carindacillin, cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/nacubactam, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, ciclacillin, clometocillin, cloxacillin, dicloxacillin, doripenem, epicillin, ertapenem, flucloxacillin, hetacillin, imipenem, imipenem/EDTA, imipenem/relebactam, latamoxef, lenampicillin, loracarbef, mecillinam, meropenem, meropenem/nacubactam, meropenem/vaborbactam, metampicillin, meticillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, panipenem, penamecillin, penicillin/novobiocin, penicillin/sulbactam, pheneticillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, razupenem, ritipenem, ritipenem acoxil, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, tebipenem, temocillin, ticarcillin, ticarcillin/clavulanic acid) \"carbapenems\"(biapenem, doripenem, ertapenem, imipenem, imipenem/EDTA, imipenem/relebactam, meropenem, meropenem/nacubactam, meropenem/vaborbactam, panipenem, razupenem, ritipenem, ritipenem acoxil, tebipenem) \"cephalosporins\"(cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, latamoxef, loracarbef) \"cephalosporins_1st\"(cefacetrile, cefadroxil, cefalexin, cefaloridine, cefalotin, cefapirin, cefatrizine, cefazedone, cefazolin, cefroxadine, ceftezole, cephradine) \"cephalosporins_2nd\"(cefaclor, cefamandole, cefmetazole, cefonicid, ceforanide, cefotetan, cefotiam, cefoxitin, cefoxitin screening, cefprozil, cefuroxime, cefuroxime axetil, loracarbef) \"cephalosporins_3rd\"(cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefetamet, cefetamet pivoxil, cefixime, cefmenoxime, cefodizime, cefoperazone, cefoperazone/sulbactam, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotiam hexetil, cefovecin, cefpimizole, cefpiramide, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefsulodin, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, latamoxef) \"cephalosporins_4th\"(cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetecol, cefoselis, cefozopran, cefpirome, cefquinome) \"cephalosporins_5th\"(ceftaroline, ceftaroline/avibactam, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam) \"cephalosporins_except_caz\"(cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, latamoxef, loracarbef) \"fluoroquinolones\"(besifloxacin, ciprofloxacin, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, lascufloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nifuroquine, norfloxacin, ofloxacin, orbifloxacin, pazufloxacin, pefloxacin, pradofloxacin, premafloxacin, prulifloxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin, trovafloxacin) \"glycopeptides\"(avoparcin, dalbavancin, norvancomycin, oritavancin, ramoplanin, teicoplanin, teicoplanin-macromethod, telavancin, vancomycin, vancomycin-macromethod) \"glycopeptides_except_lipo\"(avoparcin, norvancomycin, ramoplanin, teicoplanin, teicoplanin-macromethod, vancomycin, vancomycin-macromethod) \"lincosamides\"(acetylmidecamycin, acetylspiramycin, clindamycin, gamithromycin, kitasamycin, lincomycin, meleumycin, nafithromycin, pirlimycin, primycin, solithromycin, tildipirosin, tilmicosin, tulathromycin, tylosin, tylvalosin) \"lipoglycopeptides\"(dalbavancin, oritavancin, telavancin) \"macrolides\"(acetylmidecamycin, acetylspiramycin, azithromycin, clarithromycin, dirithromycin, erythromycin, flurithromycin, gamithromycin, josamycin, kitasamycin, meleumycin, midecamycin, miocamycin, nafithromycin, oleandomycin, pirlimycin, primycin, rokitamycin, roxithromycin, solithromycin, spiramycin, telithromycin, tildipirosin, tilmicosin, troleandomycin, tulathromycin, tylosin, tylvalosin) \"oxazolidinones\"(cadazolid, cycloserine, linezolid, tedizolid, thiacetazone) \"penicillins\"(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, aztreonam/nacubactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, carbenicillin, carindacillin, cefepime/nacubactam, ciclacillin, clometocillin, cloxacillin, dicloxacillin, epicillin, flucloxacillin, hetacillin, lenampicillin, mecillinam, metampicillin, meticillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, penamecillin, penicillin/novobiocin, penicillin/sulbactam, pheneticillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, temocillin, ticarcillin, ticarcillin/clavulanic acid) \"polymyxins\"(colistin, polymyxin B, polymyxin B/polysorbate 80) \"quinolones\"(besifloxacin, cinoxacin, ciprofloxacin, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, flumequine, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, lascufloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nalidixic acid, nemonoxacin, nifuroquine, nitroxoline, norfloxacin, ofloxacin, orbifloxacin, oxolinic acid, pazufloxacin, pefloxacin, pipemidic acid, piromidic acid, pradofloxacin, premafloxacin, prulifloxacin, rosoxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin, trovafloxacin) \"streptogramins\"(pristinamycin quinupristin/dalfopristin) \"tetracyclines\"(cetocycline, chlortetracycline, clomocycline, demeclocycline, doxycycline, eravacycline, lymecycline, metacycline, minocycline, omadacycline, oxytetracycline, penimepicycline, rolitetracycline, sarecycline, tetracycline, tigecycline) \"tetracyclines_except_tgc\"(cetocycline, chlortetracycline, clomocycline, demeclocycline, doxycycline, eravacycline, lymecycline, metacycline, minocycline, omadacycline, oxytetracycline, penimepicycline, rolitetracycline, sarecycline, tetracycline) \"trimethoprims\"(brodimoprim, sulfadiazine, sulfadiazine/tetroxoprim, sulfadiazine/trimethoprim, sulfadimethoxine, sulfadimidine, sulfadimidine/trimethoprim, sulfafurazole, sulfaisodimidine, sulfalene, sulfamazone, sulfamerazine, sulfamerazine/trimethoprim, sulfamethizole, sulfamethoxazole, sulfamethoxypyridazine, sulfametomidine, sulfametoxydiazine, sulfametrole/trimethoprim, sulfamoxole, sulfamoxole/trimethoprim, sulfanilamide, sulfaperin, sulfaphenazole, sulfapyridine, sulfathiazole, sulfathiourea, trimethoprim, trimethoprim/sulfamethoxazole) \"ureidopenicillins\"(azlocillin, mezlocillin, piperacillin, piperacillin/tazobactam)","code":""},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"","code":"x <- custom_eucast_rules(   AMC == \"R\" & genus == \"Klebsiella\" ~ aminopenicillins == \"R\",   AMC == \"I\" & genus == \"Klebsiella\" ~ aminopenicillins == \"I\" ) x #> A set of custom EUCAST rules: #>  #>   1. If AMC is \"R\" and genus is \"Klebsiella\" then set to  R : #>      amoxicillin (AMX), ampicillin (AMP) #>  #>   2. If AMC is \"I\" and genus is \"Klebsiella\" then set to  I : #>      amoxicillin (AMX), ampicillin (AMP)  # run the custom rule set (verbose = TRUE will return a logbook instead of the data set): eucast_rules(example_isolates,   rules = \"custom\",   custom_rules = x,   info = FALSE,   verbose = TRUE ) #> # A tibble: 8 × 9 #>     row col   mo_fullname     old   new   rule  rule_group rule_name rule_source #>   <int> <chr> <chr>           <ord> <chr> <chr> <chr>      <chr>     <chr>       #> 1    33 AMP   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 2    33 AMX   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 3    34 AMP   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 4    34 AMX   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 5   531 AMP   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 6   531 AMX   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 7  1485 AMP   Klebsiella oxy… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 8  1485 AMX   Klebsiella oxy… R     I     \"rep… Custom EU… Custom E… Object 'x'…  # combine rule sets x2 <- c(   x,   custom_eucast_rules(TZP == \"R\" ~ carbapenems == \"R\") ) x2 #> A set of custom EUCAST rules: #>  #>   1. If AMC is \"R\" and genus is \"Klebsiella\" then set to  R : #>      amoxicillin (AMX), ampicillin (AMP) #>  #>   2. If AMC is \"I\" and genus is \"Klebsiella\" then set to  I : #>      amoxicillin (AMX), ampicillin (AMP) #>  #>   3. If TZP is \"R\" then set to  R : #>      biapenem (BIA), doripenem (DOR), ertapenem (ETP), imipenem (IPM), #>      imipenem/EDTA (IPE), imipenem/relebactam (IMR), meropenem (MEM), #>      meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), panipenem (PAN), #>      razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), tebipenem (TBP)"},{"path":"https://msberends.github.io/AMR/reference/dosage.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","title":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","text":"EUCAST breakpoints used package based dosages data set. can retrieved eucast_dosage().","code":""},{"path":"https://msberends.github.io/AMR/reference/dosage.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","text":"","code":"dosage"},{"path":"https://msberends.github.io/AMR/reference/dosage.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","text":"tibble 503 observations 9 variables: ab Antibiotic ID used package (AMC), using official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes available name Official name antimicrobial drug used WHONET/EARS-Net type Type dosage, either \"high_dosage\", \"standard_dosage\", \"uncomplicated_uti\" dose Dose, \"2 g\" \"25 mg/kg\" dose_times Number times dose must administered administration Route administration, either \"im\", \"iv\", \"oral\" notes Additional dosage notes original_txt Original text PDF file EUCAST eucast_version Version number EUCAST Clinical Breakpoints guideline dosages apply, either 13, 12, 11","code":""},{"path":"https://msberends.github.io/AMR/reference/dosage.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/dosage.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","text":"","code":"dosage #> # A tibble: 503 × 9 #>    ab   name            type  dose  dose_times administration notes original_txt #>    <ab> <chr>           <chr> <chr>      <int> <chr>          <chr> <chr>        #>  1 AMK  Amikacin        stan… 25-3…          1 iv             \"\"    25-30 mg/kg… #>  2 AMX  Amoxicillin     high… 2 g            6 iv             \"\"    2 g x 6 iv   #>  3 AMX  Amoxicillin     stan… 1 g            3 iv             \"\"    1 g x 3-4 iv #>  4 AMX  Amoxicillin     high… 0.75…          3 oral           \"\"    0.75-1 g x … #>  5 AMX  Amoxicillin     stan… 0.5 g          3 oral           \"\"    0.5 g x 3 o… #>  6 AMX  Amoxicillin     unco… 0.5 g          3 oral           \"\"    0.5 g x 3 o… #>  7 AMC  Amoxicillin/cl… high… 2 g …          3 iv             \"\"    (2 g amoxic… #>  8 AMC  Amoxicillin/cl… stan… 1 g …          3 iv             \"\"    (1 g amoxic… #>  9 AMC  Amoxicillin/cl… high… 0.87…          3 oral           \"\"    (0.875 g am… #> 10 AMC  Amoxicillin/cl… stan… 0.5 …          3 oral           \"\"    (0.5 g amox… #> # ℹ 493 more rows #> # ℹ 1 more variable: eucast_version <dbl>"},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply EUCAST Rules — eucast_rules","title":"Apply EUCAST Rules — eucast_rules","text":"Apply rules clinical breakpoints intrinsic resistance defined European Committee Antimicrobial Susceptibility Testing (EUCAST, https://www.eucast.org), see Source. Use eucast_dosage() get data.frame advised dosages certain bug-drug combination, based dosage data set. improve interpretation antibiogram EUCAST rules applied, non-EUCAST rules can applied default, see Details.","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply EUCAST Rules — eucast_rules","text":"","code":"eucast_rules(   x,   col_mo = NULL,   info = interactive(),   rules = getOption(\"AMR_eucastrules\", default = c(\"breakpoints\", \"expert\")),   verbose = FALSE,   version_breakpoints = 12,   version_expertrules = 3.3,   ampc_cephalosporin_resistance = NA,   only_sir_columns = FALSE,   custom_rules = NULL,   ... )  eucast_dosage(ab, administration = \"iv\", version_breakpoints = 12)"},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Apply EUCAST Rules — eucast_rules","text":"EUCAST Expert Rules. Version 2.0, 2012. Leclercq et al. EUCAST expert rules antimicrobial susceptibility testing. Clin Microbiol Infect. 2013;19(2):141-60; doi:10.1111/j.1469-0691.2011.03703.x EUCAST Expert Rules, Intrinsic Resistance Exceptional Phenotypes Tables. Version 3.1, 2016. (link) EUCAST Intrinsic Resistance Unusual Phenotypes. Version 3.2, 2020. (link) EUCAST Intrinsic Resistance Unusual Phenotypes. Version 3.3, 2021. (link) EUCAST Breakpoint tables interpretation MICs zone diameters. Version 9.0, 2019. (link) EUCAST Breakpoint tables interpretation MICs zone diameters. Version 10.0, 2020. (link) EUCAST Breakpoint tables interpretation MICs zone diameters. Version 11.0, 2021. (link) EUCAST Breakpoint tables interpretation MICs zone diameters. Version 12.0, 2022. (link)","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply EUCAST Rules — eucast_rules","text":"x data set antibiotic columns, amox, AMX AMC col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). info logical indicate whether progress printed console - default print interactive sessions rules character vector specifies rules applied. Must one \"breakpoints\", \"expert\", \"\", \"custom\", \"\", defaults c(\"breakpoints\", \"expert\"). default value can set another value using package option AMR_eucastrules: options(AMR_eucastrules = \"\"). using \"custom\", sure fill argument custom_rules . Custom rules can created custom_eucast_rules(). verbose logical turn Verbose mode (default ). Verbose mode, function apply rules data, instead returns data set logbook form extensive info rows columns effected way. Using Verbose mode takes lot time. version_breakpoints version number use EUCAST Clinical Breakpoints guideline. Can \"12.0\", \"11.0\", \"10.0\". version_expertrules version number use EUCAST Expert Rules Intrinsic Resistance guideline. Can \"3.3\", \"3.2\", \"3.1\". ampc_cephalosporin_resistance character value applied cefotaxime, ceftriaxone ceftazidime AmpC de-repressed cephalosporin-resistant mutants - default NA. Currently works version_expertrules 3.2 higher; version 'EUCAST Expert Rules Enterobacterales' state results cefotaxime, ceftriaxone ceftazidime reported note, results suppressed (emptied) three drugs. value NA (default) argument remove results three drugs, e.g. value \"R\" make results drugs resistant. Use NULL FALSE alter results three drugs AmpC de-repressed cephalosporin-resistant mutants. Using TRUE equal using \"R\".  EUCAST Expert Rules v3.2, rule applies : Citrobacter braakii, Citrobacter freundii, Citrobacter gillenii, Citrobacter murliniae, Citrobacter rodenticum, Citrobacter sedlakii, Citrobacter werkmanii, Citrobacter youngae, Enterobacter, Hafnia alvei, Klebsiella aerogenes, Morganella morganii, Providencia, Serratia. only_sir_columns logical indicate whether antibiotic columns must detected transformed class sir (see .sir()) beforehand (default FALSE) custom_rules custom rules apply, created custom_eucast_rules() ... column name antibiotic, see section Antibiotics ab (vector ) text can coerced valid antibiotic drug code .ab() administration route administration, either \"im\", \"iv\", \"oral\"","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apply EUCAST Rules — eucast_rules","text":"input x, possibly edited values antibiotics. , verbose = TRUE, data.frame original new values affected bug-drug combinations.","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Apply EUCAST Rules — eucast_rules","text":"Note: function translate MIC values SIR values. Use .sir() . Note: ampicillin (AMP, J01CA01) available amoxicillin (AMX, J01CA04) , latter used rules dependency ampicillin. drugs interchangeable comes expression antimicrobial resistance. file containing EUCAST rules located : https://github.com/msberends/AMR/blob/main/data-raw/eucast_rules.tsv.  Note: Old taxonomic names replaced current taxonomy applicable. example, Ochrobactrum anthropi renamed Brucella anthropi 2020; original EUCAST rules v3.1 v3.2 yet contain new taxonomic name. AMR package contains full microbial taxonomy updated January 8th, 2024, see microorganisms.","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"custom-rules","dir":"Reference","previous_headings":"","what":"Custom Rules","title":"Apply EUCAST Rules — eucast_rules","text":"Custom rules can created using custom_eucast_rules(), e.g.:","code":"x <- custom_eucast_rules(AMC == \"R\" & genus == \"Klebsiella\" ~ aminopenicillins == \"R\",                          AMC == \"I\" & genus == \"Klebsiella\" ~ aminopenicillins == \"I\")  eucast_rules(example_isolates, rules = \"custom\", custom_rules = x)"},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"-other-rules","dir":"Reference","previous_headings":"","what":"'Other' Rules","title":"Apply EUCAST Rules — eucast_rules","text":"processing, two non-EUCAST rules drug combinations can applied improve efficacy EUCAST rules, reliability data (analysis). rules : drug enzyme inhibitor set S drug without enzyme inhibitor S drug without enzyme inhibitor set R drug enzyme inhibitor R Important examples include amoxicillin amoxicillin/clavulanic acid, trimethoprim trimethoprim/sulfamethoxazole. Needless say, rules work, drugs must available data set. Since rules officially approved EUCAST, applied default. use rules, include \"\" rules argument, use eucast_rules(..., rules = \"\"). can also set package option AMR_eucastrules, .e. run options(AMR_eucastrules = \"\").","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"antibiotics","dir":"Reference","previous_headings":"","what":"Antibiotics","title":"Apply EUCAST Rules — eucast_rules","text":"define antibiotics column names, leave determine automatically guess_ab_col() input text (case-insensitive), use NULL skip column (e.g. TIC = NULL skip ticarcillin). Manually defined non-existing columns skipped warning. following antibiotics eligible functions eucast_rules() mdro(). shown format 'name (antimicrobial ID, ATC code)', sorted alphabetically: Amikacin (AMK, J01GB06), amoxicillin (AMX, J01CA04), amoxicillin/clavulanic acid (AMC, J01CR02), ampicillin (AMP, J01CA01), ampicillin/sulbactam (SAM, J01CR01), apramycin (APR, QA07AA92), arbekacin (ARB, J01GB12), aspoxicillin (APX, J01CA19), azidocillin (AZD, J01CE04), azithromycin (AZM, J01FA10), azlocillin (AZL, J01CA09), aztreonam (ATM, J01DF01), bacampicillin (BAM, J01CA06), bekanamycin (BEK, J01GB13), benzathine benzylpenicillin (BNB, J01CE08), benzathine phenoxymethylpenicillin (BNP, J01CE10), benzylpenicillin (PEN, J01CE01), besifloxacin (BES, S01AE08), biapenem (BIA, J01DH05), carbenicillin (CRB, J01CA03), carindacillin (CRN, J01CA05), cefacetrile (CAC, J01DB10), cefaclor (CEC, J01DC04), cefadroxil (CFR, J01DB05), cefalexin (LEX, J01DB01), cefaloridine (RID, J01DB02), cefalotin (CEP, J01DB03), cefamandole (MAN, J01DC03), cefapirin (HAP, J01DB08), cefatrizine (CTZ, J01DB07), cefazedone (CZD, J01DB06), cefazolin (CZO, J01DB04), cefcapene (CCP, J01DD17), cefdinir (CDR, J01DD15), cefditoren (DIT, J01DD16), cefepime (FEP, J01DE01), cefetamet (CAT, J01DD10), cefixime (CFM, J01DD08), cefmenoxime (CMX, J01DD05), cefmetazole (CMZ, J01DC09), cefodizime (DIZ, J01DD09), cefonicid (CID, J01DC06), cefoperazone (CFP, J01DD12), cefoperazone/sulbactam (CSL, J01DD62), ceforanide (CND, J01DC11), cefotaxime (CTX, J01DD01), cefotaxime/clavulanic acid (CTC, J01DD51), cefotetan (CTT, J01DC05), cefotiam (CTF, J01DC07), cefovecin (FOV, QJ01DD91), cefoxitin (FOX, J01DC01), cefozopran (ZOP, J01DE03), cefpiramide (CPM, J01DD11), cefpirome (CPO, J01DE02), cefpodoxime (CPD, J01DD13), cefprozil (CPR, J01DC10), cefquinome (CEQ, QG51AA07), cefroxadine (CRD, J01DB11), cefsulodin (CFS, J01DD03), ceftaroline (CPT, J01DI02), ceftazidime (CAZ, J01DD02), ceftazidime/clavulanic acid (CCV, J01DD52), cefteram (CEM, J01DD18), ceftezole (CTL, J01DB12), ceftibuten (CTB, J01DD14), ceftiofur (TIO, QJ01DD90), ceftizoxime (CZX, J01DD07), ceftobiprole medocaril (CFM1, J01DI01), ceftolozane/tazobactam (CZT, J01DI54), ceftriaxone (CRO, J01DD04), ceftriaxone/beta-lactamase inhibitor (CEB, J01DD63), cefuroxime (CXM, J01DC02), cephradine (CED, J01DB09), chloramphenicol (CHL, J01BA01), ciprofloxacin (CIP, J01MA02), clarithromycin (CLR, J01FA09), clindamycin (CLI, J01FF01), clometocillin (CLM, J01CE07), cloxacillin (CLO, J01CF02), colistin (COL, J01XB01), cycloserine (CYC, J04AB01), dalbavancin (DAL, J01XA04), danofloxacin (DAN, QJ01MA92), daptomycin (DAP, J01XX09), delafloxacin (DFX, J01MA23), dibekacin (DKB, J01GB09), dicloxacillin (DIC, J01CF01), difloxacin (DIF, QJ01MA94), dirithromycin (DIR, J01FA13), doripenem (DOR, J01DH04), doxycycline (DOX, J01AA02), enoxacin (ENX, J01MA04), enrofloxacin (ENR, QJ01MA90), epicillin (EPC, J01CA07), ertapenem (ETP, J01DH03), erythromycin (ERY, J01FA01), fleroxacin (FLE, J01MA08), flucloxacillin (FLC, J01CF05), flurithromycin (FLR1, J01FA14), fosfomycin (FOS, J01XX01), framycetin (FRM, D09AA01), fusidic acid (FUS, J01XC01), gamithromycin (GAM, QJ01FA95), garenoxacin (GRN, J01MA19), gatifloxacin (GAT, J01MA16), gemifloxacin (GEM, J01MA15), gentamicin (GEN, J01GB03), grepafloxacin (GRX, J01MA11), hetacillin (HET, J01CA18), imipenem (IPM, J01DH51), imipenem/relebactam (IMR, J01DH56), isepamicin (ISE, J01GB11), josamycin (JOS, J01FA07), kanamycin (KAN, J01GB04), kitasamycin (KIT, QJ01FA93), lascufloxacin (LSC, J01MA25), latamoxef (LTM, J01DD06), levofloxacin (LVX, J01MA12), levonadifloxacin (LND, J01MA24), lincomycin (LIN, J01FF02), linezolid (LNZ, J01XX08), lomefloxacin (LOM, J01MA07), loracarbef (LOR, J01DC08), marbofloxacin (MAR, QJ01MA93), mecillinam (MEC, J01CA11), meropenem (MEM, J01DH02), meropenem/vaborbactam (MEV, J01DH52), metampicillin (MTM, J01CA14), meticillin (MET, J01CF03), mezlocillin (MEZ, J01CA10), micronomicin (MCR, S01AA22), midecamycin (MID, J01FA03), minocycline (MNO, J01AA08), miocamycin (MCM, J01FA11), moxifloxacin (MFX, J01MA14), nadifloxacin (NAD, D10AF05), nafcillin (NAF, J01CF06), nalidixic acid (NAL, J01MB02), neomycin (NEO, J01GB05), netilmicin (NET, J01GB07), nitrofurantoin (NIT, J01XE01), norfloxacin (, J01MA06), novobiocin (NOV, QJ01XX95), ofloxacin (OFX, J01MA01), oleandomycin (OLE, J01FA05), orbifloxacin (ORB, QJ01MA95), oritavancin (ORI, J01XA05), oxacillin (OXA, J01CF04), panipenem (PAN, J01DH55), pazufloxacin (PAZ, J01MA18), pefloxacin (PEF, J01MA03), penamecillin (PNM, J01CE06), pheneticillin (PHE, J01CE05), phenoxymethylpenicillin (PHN, J01CE02), piperacillin (PIP, J01CA12), piperacillin/tazobactam (TZP, J01CR05), pirlimycin (PRL, QJ51FF90), pivampicillin (PVM, J01CA02), pivmecillinam (PME, J01CA08), plazomicin (PLZ, J01GB14), polymyxin B (PLB, J01XB02), pradofloxacin (PRA, QJ01MA97), pristinamycin (PRI, J01FG01), procaine benzylpenicillin (PRB, J01CE09), propicillin (PRP, J01CE03), prulifloxacin (PRU, J01MA17), quinupristin/dalfopristin (QDA, QJ01FG02), ribostamycin (RST, J01GB10), rifampicin (RIF, J04AB02), rokitamycin (ROK, J01FA12), roxithromycin (RXT, J01FA06), rufloxacin (RFL, J01MA10), sarafloxacin (SAR, QJ01MA98), sisomicin (SIS, J01GB08), sitafloxacin (SIT, J01MA21), solithromycin (SOL, J01FA16), sparfloxacin (SPX, J01MA09), spiramycin (SPI, J01FA02), streptoduocin (STR, J01GA02), streptomycin (STR1, J01GA01), sulbactam (SUL, J01CG01), sulbenicillin (SBC, J01CA16), sulfadiazine (SDI, J01EC02), sulfadiazine/trimethoprim (SLT1, J01EE02), sulfadimethoxine (SUD, J01ED01), sulfadimidine (SDM, J01EB03), sulfadimidine/trimethoprim (SLT2, J01EE05), sulfafurazole (SLF, J01EB05), sulfaisodimidine (SLF1, J01EB01), sulfalene (SLF2, J01ED02), sulfamazone (SZO, J01ED09), sulfamerazine (SLF3, J01ED07), sulfamerazine/trimethoprim (SLT3, J01EE07), sulfamethizole (SLF4, J01EB02), sulfamethoxazole (SMX, J01EC01), sulfamethoxypyridazine (SLF5, J01ED05), sulfametomidine (SLF6, J01ED03), sulfametoxydiazine (SLF7, J01ED04), sulfametrole/trimethoprim (SLT4, J01EE03), sulfamoxole (SLF8, J01EC03), sulfamoxole/trimethoprim (SLT5, J01EE04), sulfanilamide (SLF9, J01EB06), sulfaperin (SLF10, J01ED06), sulfaphenazole (SLF11, J01ED08), sulfapyridine (SLF12, J01EB04), sulfathiazole (SUT, J01EB07), sulfathiourea (SLF13, J01EB08), sultamicillin (SLT6, J01CR04), talampicillin (TAL, J01CA15), tazobactam (TAZ, J01CG02), tebipenem (TBP, J01DH06), tedizolid (TZD, J01XX11), teicoplanin (TEC, J01XA02), telavancin (TLV, J01XA03), telithromycin (TLT, J01FA15), temafloxacin (TMX, J01MA05), temocillin (TEM, J01CA17), tetracycline (TCY, J01AA07), ticarcillin (TIC, J01CA13), ticarcillin/clavulanic acid (TCC, J01CR03), tigecycline (TGC, J01AA12), tilbroquinol (TBQ, P01AA05), tildipirosin (TIP, QJ01FA96), tilmicosin (TIL, QJ01FA91), tobramycin (TOB, J01GB01), tosufloxacin (TFX, J01MA22), trimethoprim (TMP, J01EA01), trimethoprim/sulfamethoxazole (SXT, J01EE01), troleandomycin (TRL, J01FA08), trovafloxacin (TVA, J01MA13), tulathromycin (TUL, QJ01FA94), tylosin (TYL, QJ01FA90), tylvalosin (TYL1, QJ01FA92), vancomycin (VAN, J01XA01)","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Apply EUCAST Rules — eucast_rules","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Apply EUCAST Rules — eucast_rules","text":"","code":"# \\donttest{ a <- data.frame(   mo = c(     \"Staphylococcus aureus\",     \"Enterococcus faecalis\",     \"Escherichia coli\",     \"Klebsiella pneumoniae\",     \"Pseudomonas aeruginosa\"   ),   VAN = \"-\", # Vancomycin   AMX = \"-\", # Amoxicillin   COL = \"-\", # Colistin   CAZ = \"-\", # Ceftazidime   CXM = \"-\", # Cefuroxime   PEN = \"S\", # Benzylpenicillin   FOX = \"S\", # Cefoxitin   stringsAsFactors = FALSE )  head(a) #>                       mo VAN AMX COL CAZ CXM PEN FOX #> 1  Staphylococcus aureus   -   -   -   -   -   S   S #> 2  Enterococcus faecalis   -   -   -   -   -   S   S #> 3       Escherichia coli   -   -   -   -   -   S   S #> 4  Klebsiella pneumoniae   -   -   -   -   -   S   S #> 5 Pseudomonas aeruginosa   -   -   -   -   -   S   S   # apply EUCAST rules: some results wil be changed b <- eucast_rules(a) #> Warning: in eucast_rules(): not all columns with antimicrobial results are of #> class 'sir'. Transform them on beforehand, with e.g.: #>   - a %>% as.sir(CXM:AMX) #>   - a %>% mutate_if(is_sir_eligible, as.sir) #>   - a %>% mutate(across(where(is_sir_eligible), as.sir))  head(b) #>                       mo VAN AMX COL CAZ CXM PEN FOX #> 1  Staphylococcus aureus   -   S   R   S   S   S   S #> 2  Enterococcus faecalis   -   -   R   R   R   S   R #> 3       Escherichia coli   R   -   -   -   -   R   S #> 4  Klebsiella pneumoniae   R   R   -   -   -   R   S #> 5 Pseudomonas aeruginosa   R   R   -   -   R   R   R   # do not apply EUCAST rules, but rather get a data.frame # containing all details about the transformations: c <- eucast_rules(a, verbose = TRUE) #> Warning: in eucast_rules(): not all columns with antimicrobial results are of #> class 'sir'. Transform them on beforehand, with e.g.: #>   - a %>% as.sir(CXM:AMX) #>   - a %>% mutate_if(is_sir_eligible, as.sir) #>   - a %>% mutate(across(where(is_sir_eligible), as.sir)) head(c) #>   row col           mo_fullname old new rule   rule_group #> 1   1 AMX Staphylococcus aureus   -   S       Breakpoints #> 2   1 CXM Staphylococcus aureus   -   S       Breakpoints #> 3   1 CAZ Staphylococcus aureus   R   S      Expert Rules #> 4   1 CAZ Staphylococcus aureus   -   R      Expert Rules #> 5   1 COL Staphylococcus aureus   -   R      Expert Rules #> 6   2 CAZ Enterococcus faecalis   -   R      Expert Rules #>                                                 rule_name #> 1                                          Staphylococcus #> 2                                          Staphylococcus #> 3                          Expert Rules on Staphylococcus #> 4 Table 4: Intrinsic resistance in gram-positive bacteria #> 5 Table 4: Intrinsic resistance in gram-positive bacteria #> 6 Table 4: Intrinsic resistance in gram-positive bacteria #>                                                                                 rule_source #> 1                                           'EUCAST Clinical Breakpoint Tables' v12.0, 2022 #> 2                                           'EUCAST Clinical Breakpoint Tables' v12.0, 2022 #> 3 'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3, 2021 #> 4 'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3, 2021 #> 5 'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3, 2021 #> 6 'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3, 2021 # }  # Dosage guidelines:  eucast_dosage(c(\"tobra\", \"genta\", \"cipro\"), \"iv\") #> ℹ Dosages for antimicrobial drugs, as meant for 'EUCAST Clinical Breakpoint #>   Tables' v12.0 (2022). This note will be shown once per session. #> # A tibble: 3 × 4 #>   ab   name          standard_dosage  high_dosage  #>   <ab> <chr>         <chr>            <chr>        #> 1 TOB  Tobramycin    6-7 mg/kg x 1 iv NA           #> 2 GEN  Gentamicin    6-7 mg/kg x 1 iv NA           #> 3 CIP  Ciprofloxacin 0.4 g x 2 iv     0.4 g x 3 iv  eucast_dosage(c(\"tobra\", \"genta\", \"cipro\"), \"iv\", version_breakpoints = 10) #> ℹ Dosages for antimicrobial drugs, as meant for 'EUCAST Clinical Breakpoint #>   Tables' v10.0 (2020). This note will be shown once per session. #> # A tibble: 3 × 4 #>   ab   name          standard_dosage  high_dosage  #>   <ab> <chr>         <chr>            <chr>        #> 1 TOB  Tobramycin    6-7 mg/kg x 1 iv NA           #> 2 GEN  Gentamicin    6-7 mg/kg x 1 iv NA           #> 3 CIP  Ciprofloxacin 0.4 g x 2 iv     0.4 g x 3 iv"},{"path":"https://msberends.github.io/AMR/reference/example_isolates.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with 2 000 Example Isolates — example_isolates","title":"Data Set with 2 000 Example Isolates — example_isolates","text":"data set containing 2 000 microbial isolates full antibiograms. data set contains randomised fictitious data, reflects reality can used practise AMR data analysis. examples, please read tutorial website.","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with 2 000 Example Isolates — example_isolates","text":"","code":"example_isolates"},{"path":"https://msberends.github.io/AMR/reference/example_isolates.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with 2 000 Example Isolates — example_isolates","text":"tibble 2 000 observations 46 variables: date Date receipt laboratory patient ID patient age Age patient gender Gender patient, either \"F\" \"M\" ward Ward type patient admitted, either \"Clinical\", \"ICU\", \"Outpatient\" mo ID microorganism created .mo(), see also microorganisms data set PEN:RIF 40 different antibiotics class sir (see .sir()); column names occur antibiotics data set can translated set_ab_names() ab_name()","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with 2 000 Example Isolates — example_isolates","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with 2 000 Example Isolates — example_isolates","text":"","code":"example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …"},{"path":"https://msberends.github.io/AMR/reference/example_isolates_unclean.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with Unclean Data — example_isolates_unclean","title":"Data Set with Unclean Data — example_isolates_unclean","text":"data set containing 3 000 microbial isolates cleaned consequently ready AMR data analysis. data set can used practice.","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates_unclean.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with Unclean Data — example_isolates_unclean","text":"","code":"example_isolates_unclean"},{"path":"https://msberends.github.io/AMR/reference/example_isolates_unclean.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with Unclean Data — example_isolates_unclean","text":"tibble 3 000 observations 8 variables: patient_id ID patient date date receipt laboratory hospital ID hospital, C bacteria info microorganism can transformed .mo(), see also microorganisms AMX:GEN 4 different antibiotics transformed .sir()","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates_unclean.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with Unclean Data — example_isolates_unclean","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates_unclean.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with Unclean Data — example_isolates_unclean","text":"","code":"example_isolates_unclean #> # A tibble: 3,000 × 8 #>    patient_id hospital date       bacteria      AMX   AMC   CIP   GEN   #>    <chr>      <chr>    <date>     <chr>         <chr> <chr> <chr> <chr> #>  1 J3         A        2012-11-21 E. coli       R     I     S     S     #>  2 R7         A        2018-04-03 K. pneumoniae R     I     S     S     #>  3 P3         A        2014-09-19 E. coli       R     S     S     S     #>  4 P10        A        2015-12-10 E. coli       S     I     S     S     #>  5 B7         A        2015-03-02 E. coli       S     S     S     S     #>  6 W3         A        2018-03-31 S. aureus     R     S     R     S     #>  7 J8         A        2016-06-14 E. coli       R     S     S     S     #>  8 M3         A        2015-10-25 E. coli       R     S     S     S     #>  9 J3         A        2019-06-19 E. coli       S     S     S     S     #> 10 G6         A        2015-04-27 S. aureus     S     S     S     S     #> # ℹ 2,990 more rows"},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine First Isolates — first_isolate","title":"Determine First Isolates — first_isolate","text":"Determine first isolates microorganisms every patient per episode (needed) per specimen type. functions support four methods summarised Hindler et al. 2007 (doi:10.1086/511864 ). determine patient episodes necessarily based microorganisms, use is_new_episode() also supports grouping dplyr package.","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine First Isolates — first_isolate","text":"","code":"first_isolate(   x = NULL,   col_date = NULL,   col_patient_id = NULL,   col_mo = NULL,   col_testcode = NULL,   col_specimen = NULL,   col_icu = NULL,   col_keyantimicrobials = NULL,   episode_days = 365,   testcodes_exclude = NULL,   icu_exclude = FALSE,   specimen_group = NULL,   type = \"points\",   method = c(\"phenotype-based\", \"episode-based\", \"patient-based\", \"isolate-based\"),   ignore_I = TRUE,   points_threshold = 2,   info = interactive(),   include_unknown = FALSE,   include_untested_sir = TRUE,   ... )  filter_first_isolate(   x = NULL,   col_date = NULL,   col_patient_id = NULL,   col_mo = NULL,   episode_days = 365,   method = c(\"phenotype-based\", \"episode-based\", \"patient-based\", \"isolate-based\"),   ... )"},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Determine First Isolates — first_isolate","text":"Methodology function strictly based : M39 Analysis Presentation Cumulative Antimicrobial Susceptibility Test Data, 5th Edition, 2022, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/microbiology/documents/m39/. Hindler JF Stelling J (2007). Analysis Presentation Cumulative Antibiograms: New Consensus Guideline Clinical Laboratory Standards Institute. Clinical Infectious Diseases, 44(6), 867-873. doi:10.1086/511864","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine First Isolates — first_isolate","text":"x data.frame containing isolates. Can left blank automatic determination, see Examples. col_date column name result date (date received lab) - default first column date class col_patient_id column name unique IDs patients - default first column starts 'patient' 'patid' (case insensitive) col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). col_testcode column name test codes. Use col_testcode = NULL exclude certain test codes (test codes screening). case testcodes_exclude ignored. col_specimen column name specimen type group col_icu column name logicals (TRUE/FALSE) whether ward department Intensive Care Unit (ICU). can also logical vector length rows x. col_keyantimicrobials (useful method = \"phenotype-based\") column name key antimicrobials determine first isolates, see key_antimicrobials(). default first column starts 'key' followed 'ab' 'antibiotics' 'antimicrobials' (case insensitive). Use col_keyantimicrobials = FALSE prevent . Can also output key_antimicrobials(). episode_days episode days genus/species combination determined 'first isolate' . default 365 days based guideline CLSI, see Source. testcodes_exclude character vector test codes excluded (case-insensitive) icu_exclude logical indicate whether ICU isolates excluded (rows value TRUE column set col_icu) specimen_group value column set col_specimen filter type type determine weighed isolates; can \"keyantimicrobials\" \"points\", see Details method method apply, either \"phenotype-based\", \"episode-based\", \"patient-based\" \"isolate-based\" (can abbreviated), see Details. default \"phenotype-based\" antimicrobial test results present data, \"episode-based\" otherwise. ignore_I logical indicate whether antibiotic interpretations \"\" ignored type = \"keyantimicrobials\", see Details points_threshold minimum number points require differences antibiogram lead inclusion isolate type = \"points\", see Details info logical indicate info printed - default TRUE interactive mode include_unknown logical indicate whether 'unknown' microorganisms included , .e. microbial code \"UNKNOWN\", defaults FALSE. WHONET users, means records organism code \"con\" (contamination) excluded default. Isolates microbial ID NA always excluded first isolate. include_untested_sir logical indicate whether also rows without antibiotic results still eligible becoming first isolate. Use include_untested_sir = FALSE always return FALSE rows. checks data set columns class sir consequently requires transforming columns antibiotic results using .sir() first. ... arguments passed first_isolate() using filter_first_isolate(), otherwise arguments passed key_antimicrobials() (universal, gram_negative, gram_positive)","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine First Isolates — first_isolate","text":"logical vector","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Determine First Isolates — first_isolate","text":"conduct epidemiological analyses antimicrobial resistance data, -called first isolates included prevent overestimation underestimation antimicrobial resistance. Different methods can used , see . functions context-aware. means x argument can left blank used inside data.frame call, see Examples. first_isolate() function wrapper around is_new_episode() function, efficient data sets containing microorganism codes names. isolates microbial ID NA excluded first isolate.","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"different-methods","dir":"Reference","previous_headings":"","what":"Different methods","title":"Determine First Isolates — first_isolate","text":"According Hindler et al. (2007, doi:10.1086/511864 ), different methods (algorithms) select first isolates increasing reliability: isolate-based, patient-based, episode-based phenotype-based. methods select combination taxonomic genus species (subspecies). mentioned methods covered first_isolate() function:","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"isolate-based","dir":"Reference","previous_headings":"","what":"Isolate-based","title":"Determine First Isolates — first_isolate","text":"method require selection, isolates included. , however, respect arguments set first_isolate() function. example, default setting include_unknown (FALSE) omit selection rows without microbial ID.","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"patient-based","dir":"Reference","previous_headings":"","what":"Patient-based","title":"Determine First Isolates — first_isolate","text":"include every genus-species combination per patient , set episode_days Inf. Although often inappropriate, method makes sure duplicate isolates selected patient. large longitudinal data set, mean isolates excluded found years initial isolate.","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"episode-based","dir":"Reference","previous_headings":"","what":"Episode-based","title":"Determine First Isolates — first_isolate","text":"include every genus-species combination per patient episode , set episode_days sensible number days. Depending type analysis, 14, 30, 60 365. Short episodes common analysing specific hospital ward data, long episodes common analysing regional national data. common method correct duplicate isolates. Patients categorised episodes based ID dates (e.g., date specimen receipt laboratory result). common method, take account antimicrobial test results. means e.g. methicillin-resistant Staphylococcus aureus (MRSA) isolate differentiated wildtype Staphylococcus aureus isolate.","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"phenotype-based","dir":"Reference","previous_headings":"","what":"Phenotype-based","title":"Determine First Isolates — first_isolate","text":"reliable method, since also weighs antibiogram (antimicrobial test results) yielding -called 'first weighted isolates'. two different methods weigh antibiogram: Using type = \"points\" argument points_threshold (default) method weighs antimicrobial drugs available data set. difference S R (vice versa) counts 0.5 points, difference S R (vice versa) counts 1 point. sum points exceeds points_threshold, defaults 2, isolate selected first weighted isolate. antimicrobials internally selected using all_antimicrobials() function. output function need passed first_isolate() function. Using type = \"keyantimicrobials\" argument ignore_I method weighs specific antimicrobial drugs, called key antimicrobials. difference S R (vice versa) key antimicrobials select isolate first weighted isolate. ignore_I = FALSE, also differences S R (vice versa) lead . Key antimicrobials internally selected using key_antimicrobials() function, can also added manually variable data set col_keyantimicrobials argument. Another option pass output key_antimicrobials() function directly col_keyantimicrobials argument. default method phenotype-based (using type = \"points\") episode-based (using episode_days = 365). makes sure every genus-species combination selected per patient per year, taking account antimicrobial test results. antimicrobial test results available data set, episode-based method applied default.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Determine First Isolates — first_isolate","text":"","code":"# `example_isolates` is a data set available in the AMR package. # See ?example_isolates.  example_isolates[first_isolate(info = TRUE), ] #> ℹ Determining first isolates using an episode length of 365 days #> ℹ Using column 'date' as input for col_date. #> ℹ Using column 'patient' as input for col_patient_id. #> ℹ Basing inclusion on all antimicrobial results, using a points threshold #>   of 2 #> ℹ Excluding 16 isolates with a microbial ID 'UNKNOWN' (in column 'mo') #> => Found 1,373 'phenotype-based' first isolates (68.7% of total where a #>    microbial ID was available) #> # A tibble: 1,373 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  3 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  4 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #>  5 2002-01-17 495616     67 M      Clinical B_STPHY_EPDR R     NA    S     NA    #>  6 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  7 2002-01-21 462081     75 F      Clinical B_CTRBC_FRND R     NA    NA    R     #>  8 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  9 2002-02-03 481442     76 M      ICU      B_STPHY_CONS R     NA    S     NA    #> 10 2002-02-05 023456     50 M      Clinical B_STPHY_HMNS S     NA    S     NA    #> # ℹ 1,363 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … # \\donttest{ # get all first Gram-negatives example_isolates[which(first_isolate(info = FALSE) & mo_is_gram_negative()), ] #> ℹ Using column 'mo' as input for mo_is_gram_negative() #> # A tibble: 434 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-21 462081     75 F      Clinical B_CTRBC_FRND R     NA    NA    R     #>  4 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  5 2002-02-05 067927     45 F      ICU      B_SERRT_MRCS R     NA    NA    R     #>  6 2002-02-27 066895     85 F      Clinical B_KLBSL_PNMN R     NA    NA    R     #>  7 2002-03-08 4FC193     69 M      Clinical B_ESCHR_COLI R     NA    NA    R     #>  8 2002-03-16 4FC193     69 M      Clinical B_PSDMN_AERG R     NA    NA    R     #>  9 2002-04-01 496896     46 F      ICU      B_ESCHR_COLI R     NA    NA    NA    #> 10 2002-04-23 EE2510     69 F      ICU      B_ESCHR_COLI R     NA    NA    NA    #> # ℹ 424 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  if (require(\"dplyr\")) {   # filter on first isolates using dplyr:   example_isolates %>%     filter(first_isolate(info = TRUE)) } #> ℹ Determining first isolates using an episode length of 365 days #> ℹ Basing inclusion on all antimicrobial results, using a points threshold #>   of 2 #> ℹ Excluding 16 isolates with a microbial ID 'UNKNOWN' (in column 'mo') #> => Found 1,373 'phenotype-based' first isolates (68.7% of total where a #>    microbial ID was available) #> # A tibble: 1,373 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  3 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  4 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #>  5 2002-01-17 495616     67 M      Clinical B_STPHY_EPDR R     NA    S     NA    #>  6 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  7 2002-01-21 462081     75 F      Clinical B_CTRBC_FRND R     NA    NA    R     #>  8 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  9 2002-02-03 481442     76 M      ICU      B_STPHY_CONS R     NA    S     NA    #> 10 2002-02-05 023456     50 M      Clinical B_STPHY_HMNS S     NA    S     NA    #> # ℹ 1,363 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … if (require(\"dplyr\")) {   # short-hand version:   example_isolates %>%     filter_first_isolate(info = FALSE) } #> # A tibble: 1,373 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  3 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  4 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #>  5 2002-01-17 495616     67 M      Clinical B_STPHY_EPDR R     NA    S     NA    #>  6 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  7 2002-01-21 462081     75 F      Clinical B_CTRBC_FRND R     NA    NA    R     #>  8 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  9 2002-02-03 481442     76 M      ICU      B_STPHY_CONS R     NA    S     NA    #> 10 2002-02-05 023456     50 M      Clinical B_STPHY_HMNS S     NA    S     NA    #> # ℹ 1,363 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … if (require(\"dplyr\")) {   # flag the first isolates per group:   example_isolates %>%     group_by(ward) %>%     mutate(first = first_isolate(info = TRUE)) %>%     select(ward, date, patient, mo, first) } #> ℹ Determining first isolates using an episode length of 365 days #> ℹ Basing inclusion on all antimicrobial results, using a points threshold #>   of 2 #>  #> Group: ward = \"Clinical\" #> ℹ Excluding 9 isolates with a microbial ID 'UNKNOWN' (in column 'mo') #> => Found 857 'phenotype-based' first isolates (69.4% of total where a #>    microbial ID was available) #>  #> Group: ward = \"ICU\" #> ℹ Excluding 6 isolates with a microbial ID 'UNKNOWN' (in column 'mo') #> => Found 447 'phenotype-based' first isolates (69.2% of total where a #>    microbial ID was available) #>  #> Group: ward = \"Outpatient\" #> ℹ Excluding 1 isolates with a microbial ID 'UNKNOWN' (in column 'mo') #> => Found 98 'phenotype-based' first isolates (81.7% of total where a #>    microbial ID was available) #> # A tibble: 2,000 × 5 #> # Groups:   ward [3] #>    ward     date       patient mo           first #>    <chr>    <date>     <chr>   <mo>         <lgl> #>  1 Clinical 2002-01-02 A77334  B_ESCHR_COLI TRUE  #>  2 Clinical 2002-01-03 A77334  B_ESCHR_COLI FALSE #>  3 ICU      2002-01-07 067927  B_STPHY_EPDR TRUE  #>  4 ICU      2002-01-07 067927  B_STPHY_EPDR FALSE #>  5 ICU      2002-01-13 067927  B_STPHY_EPDR FALSE #>  6 ICU      2002-01-13 067927  B_STPHY_EPDR FALSE #>  7 Clinical 2002-01-14 462729  B_STPHY_AURS TRUE  #>  8 Clinical 2002-01-14 462729  B_STPHY_AURS FALSE #>  9 ICU      2002-01-16 067927  B_STPHY_EPDR FALSE #> 10 ICU      2002-01-17 858515  B_STPHY_EPDR TRUE  #> # ℹ 1,990 more rows # }"},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":null,"dir":"Reference","previous_headings":"","what":"G-test for Count Data — g.test","title":"G-test for Count Data — g.test","text":"g.test() performs chi-squared contingency table tests goodness--fit tests, just like chisq.test() reliable (1). G-test can used see whether number observations category fits theoretical expectation (called G-test goodness--fit), see whether proportions one variable different different values variable (called G-test independence).","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"G-test for Count Data — g.test","text":"","code":"g.test(x, y = NULL, p = rep(1/length(x), length(x)), rescale.p = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"G-test for Count Data — g.test","text":"code function identical chisq.test(), except : calculation statistic changed \\(2 * sum(x * log(x / E))\\) Yates' continuity correction removed apply G-test possibility simulate p values simulate.p.value removed","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"G-test for Count Data — g.test","text":"x numeric vector matrix. x y can also     factors. y numeric vector; ignored x matrix.      x factor, y factor length. p vector probabilities length x.     error given entry p negative. rescale.p logical scalar; TRUE p rescaled     (necessary) sum 1.  rescale.p FALSE,     p sum 1, error given.","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"G-test for Count Data — g.test","text":"list class \"htest\" containing following   components: statistic value chi-squared test statistic. parameter degrees freedom approximate     chi-squared distribution test statistic, NA     p-value computed Monte Carlo simulation. p.value p-value test. method character string indicating type test     performed, whether Monte Carlo simulation continuity     correction used. data.name character string giving name(s) data. observed observed counts. expected expected counts null hypothesis. residuals Pearson residuals,     (observed - expected) / sqrt(expected). stdres standardized residuals,     (observed - expected) / sqrt(V), V residual cell variance (Agresti, 2007,     section 2.4.5 case x matrix, n * p * (1 - p) otherwise).","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"G-test for Count Data — g.test","text":"x matrix one row column, x vector y given, goodness--fit test performed (x treated one-dimensional contingency table). entries x must non-negative integers. case, hypothesis tested whether population probabilities equal p, equal p given. x matrix least two rows columns, taken two-dimensional contingency table: entries x must non-negative integers.  Otherwise, x y must vectors factors length; cases missing values removed, objects coerced factors, contingency table computed .  Pearson's chi-squared test performed null hypothesis joint distribution cell counts 2-dimensional contingency table product row column marginals. p-value computed asymptotic chi-squared distribution test statistic. contingency table case simulation done random sampling set contingency tables given marginals, works marginals strictly positive. Note usual sampling situation assumed chi-squared test (G-test) rather Fisher's exact test. goodness--fit case simulation done random sampling discrete distribution specified p, sample size n = sum(x). simulation done R may slow.","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"g-test-of-goodness-of-fit-likelihood-ratio-test-","dir":"Reference","previous_headings":"","what":"G-test Of Goodness-of-Fit (Likelihood Ratio Test)","title":"G-test for Count Data — g.test","text":"Use G-test goodness--fit one nominal variable two values (male female, red, pink white flowers). compare observed counts numbers observations category expected counts, calculate using kind theoretical expectation (1:1 sex ratio 1:2:1 ratio genetic cross). expected number observations category small, G-test may give inaccurate results, use exact test instead (fisher.test()). G-test goodness--fit alternative chi-square test goodness--fit (chisq.test()); tests advantages disadvantages, results two tests usually similar.","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"g-test-of-independence","dir":"Reference","previous_headings":"","what":"G-test of Independence","title":"G-test for Count Data — g.test","text":"Use G-test independence two nominal variables, two possible values. want know whether proportions one variable different among values variable. also possible G-test independence two nominal variables. example, Jackson et al. (2013) also data children 3, analysis old vs. young, thigh vs. arm, reaction vs. reaction, analyzed together. Fisher's exact test (fisher.test()) exact test, G-test still approximation. 2x2 table, Fisher's Exact test may slower still run seconds, even sum observations multiple millions. G-test independence alternative chi-square test independence (chisq.test()), give approximately results.","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"how-the-test-works","dir":"Reference","previous_headings":"","what":"How the Test Works","title":"G-test for Count Data — g.test","text":"Unlike exact test goodness--fit (fisher.test()), G-test directly calculate probability obtaining observed results something extreme. Instead, like almost statistical tests, G-test intermediate step; uses data calculate test statistic measures far observed data null expectation. use mathematical relationship, case chi-square distribution, estimate probability obtaining value test statistic. G-test uses log ratio two likelihoods test statistic, also called likelihood ratio test log-likelihood ratio test. formula calculate G-statistic : \\(G = 2 * sum(x * log(x / E))\\) E expected values. Since chi-square distributed, p value can calculated R :   df degrees freedom. two categories want find ones significantly different null expectation, can use method testing category vs. sum categories, Bonferroni correction. use G-tests category, course.","code":"p <- stats::pchisq(G, df, lower.tail = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"G-test for Count Data — g.test","text":"McDonald, J.H. 2014. Handbook Biological Statistics (3rd ed.). Sparky House Publishing, Baltimore, Maryland. http://www.biostathandbook.com/gtestgof.html.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"G-test for Count Data — g.test","text":"","code":"# = EXAMPLE 1 = # Shivrain et al. (2006) crossed clearfield rice (which are resistant # to the herbicide imazethapyr) with red rice (which are susceptible to # imazethapyr). They then crossed the hybrid offspring and examined the # F2 generation, where they found 772 resistant plants, 1611 moderately # resistant plants, and 737 susceptible plants. If resistance is controlled # by a single gene with two co-dominant alleles, you would expect a 1:2:1 # ratio.  x <- c(772, 1611, 737) g.test(x, p = c(1, 2, 1) / 4) #>  #> \tG-test of goodness-of-fit (likelihood ratio test) #>  #> data:  x #> X-squared = 4.1471, p-value = 0.1257 #>   # There is no significant difference from a 1:2:1 ratio. # Meaning: resistance controlled by a single gene with two co-dominant # alleles, is plausible.   # = EXAMPLE 2 = # Red crossbills (Loxia curvirostra) have the tip of the upper bill either # right or left of the lower bill, which helps them extract seeds from pine # cones. Some have hypothesized that frequency-dependent selection would # keep the number of right and left-billed birds at a 1:1 ratio. Groth (1992) # observed 1752 right-billed and 1895 left-billed crossbills.  x <- c(1752, 1895) g.test(x) #>  #> \tG-test of goodness-of-fit (likelihood ratio test) #>  #> data:  x #> X-squared = 5.6085, p-value = 0.01787 #>   # There is a significant difference from a 1:1 ratio. # Meaning: there are significantly more left-billed birds."},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine Clinical or Epidemic Episodes — get_episode","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"functions determine items vector can considered (start ) new episode. can used determine clinical episodes epidemiological analysis. get_episode() function returns index number episode per group, is_new_episode() function returns TRUE every new get_episode() index. absolute relative episode determination supported.","code":""},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"","code":"get_episode(x, episode_days = NULL, case_free_days = NULL, ...)  is_new_episode(x, episode_days = NULL, case_free_days = NULL, ...)"},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"x vector dates (class Date POSIXt), sorted internally determine episodes episode_days episode length days specify time period new episode begins, can also less day Inf, see Details case_free_days (inter-epidemic) interval length days new episode start, can also less day Inf, see Details ... ignored, place allow future extensions","code":""},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"get_episode(): integer vector is_new_episode(): logical vector","code":""},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"Episodes can determined two ways: absolute relative. Absolute method uses episode_days define episode length days, new episode start. common use case AMR data analysis microbial epidemiology: episodes S. aureus bacteraemia ICU patients example. episode length 30 days, new S. aureus isolates ICU episode 30 days considered different (new) episode. Thus, method counts since start previous episode. Relative method uses case_free_days quantify duration case-free days (inter-epidemic interval), new episode start. common use case infectious disease epidemiology: episodes norovirus outbreaks hospital example. case-free period 14 days, new norovirus cases time considered different (new) episode. Thus, methods counts since last case previous episode. table: ** marks start new episode, 8 January 2023 7 days since start previous episode (1 January 2023).  *** marks start new episode, 21 January 2023 7 days since last case previous episode (8 January 2023). Either episode_days case_free_days must provided function.","code":""},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"difference-between-get-episode-and-is-new-episode-","dir":"Reference","previous_headings":"","what":"Difference between get_episode() and is_new_episode()","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"get_episode() function returns index number episode, cases/patients/isolates first episode number 1, cases/patients/isolates second episode number 2, etc. is_new_episode() function hand, returns TRUE every new get_episode() index. specify, setting episode_days = 365 (using method 1 explained ), two functions differ:","code":""},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"other","dir":"Reference","previous_headings":"","what":"Other","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"first_isolate() function wrapper around is_new_episode() function, efficient data sets containing microorganism codes names allows different isolate selection methods. dplyr package required functions work, episode functions support variable grouping work conveniently inside dplyr verbs filter(), mutate() summarise().","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"","code":"# difference between absolute and relative determination of episodes: x <- data.frame(dates = as.Date(c(   \"2021-01-01\",   \"2021-01-02\",   \"2021-01-05\",   \"2021-01-08\",   \"2021-02-21\",   \"2021-02-22\",   \"2021-02-23\",   \"2021-02-24\",   \"2021-03-01\",   \"2021-03-01\" ))) x$absolute <- get_episode(x$dates, episode_days = 7) x$relative <- get_episode(x$dates, case_free_days = 7) x #>         dates absolute relative #> 1  2021-01-01        1        1 #> 2  2021-01-02        1        1 #> 3  2021-01-05        1        1 #> 4  2021-01-08        2        1 #> 5  2021-02-21        3        2 #> 6  2021-02-22        3        2 #> 7  2021-02-23        3        2 #> 8  2021-02-24        3        2 #> 9  2021-03-01        4        2 #> 10 2021-03-01        4        2   # `example_isolates` is a data set available in the AMR package. # See ?example_isolates df <- example_isolates[sample(seq_len(2000), size = 100), ]  get_episode(df$date, episode_days = 60) # indices #>   [1] 29 45 31 14 41 39 26 40 18 36 15 39 18 45 32 27 10  2 13 24 43 12  8  5  3 #>  [26] 12 31  9 16  4  1 26 32 27 21 45 42 17 16 21  8  4 30  1 17 25 34  5 10  1 #>  [51] 18 44 33  4  6 12 43  2 43 45 37 33 18 38 45 36 46  4 35 40 12  7 11 23 10 #>  [76] 35 20  4  5 29 27 41 12 30 45 18 46 22 28 39 19 27 45 16  4 21 40 39 39 10 is_new_episode(df$date, episode_days = 60) # TRUE/FALSE #>   [1]  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE FALSE #>  [13] FALSE FALSE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE #>  [25]  TRUE FALSE FALSE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE  TRUE FALSE #>  [37]  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE  TRUE FALSE #>  [49] FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE #>  [61]  TRUE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE  TRUE #>  [73]  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE #>  [85] FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE #>  [97] FALSE FALSE FALSE FALSE  # filter on results from the third 60-day episode only, using base R df[which(get_episode(df$date, 60) == 3), ] #> # A tibble: 1 × 46 #>   date       patient   age gender ward  mo           PEN   OXA   FLC   AMX   #>   <date>     <chr>   <dbl> <chr>  <chr> <mo>         <sir> <sir> <sir> <sir> #> 1 2002-12-13 285137     78 F      ICU   B_ESCHR_COLI R     NA    NA    NA    #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, RIF <sir>  # the functions also work for less than a day, e.g. to include one per hour: get_episode(   c(     Sys.time(),     Sys.time() + 60 * 60   ),   episode_days = 1 / 24 ) #> [1] 1 2  # \\donttest{ if (require(\"dplyr\")) {   # is_new_episode() can also be used in dplyr verbs to determine patient   # episodes based on any (combination of) grouping variables:   df %>%     mutate(condition = sample(       x = c(\"A\", \"B\", \"C\"),       size = 100,       replace = TRUE     )) %>%     group_by(patient, condition) %>%     mutate(new_episode = is_new_episode(date, 365)) %>%     select(patient, date, condition, new_episode) %>%     arrange(patient, condition, date) } #> # A tibble: 100 × 4 #> # Groups:   patient, condition [99] #>    patient date       condition new_episode #>    <chr>   <date>     <chr>     <lgl>       #>  1 036063  2010-01-28 A         TRUE        #>  2 077922  2009-08-18 A         TRUE        #>  3 080086  2010-08-08 B         TRUE        #>  4 0DBF93  2015-10-12 A         TRUE        #>  5 105248  2005-06-16 B         TRUE        #>  6 114570  2003-04-08 C         TRUE        #>  7 119392  2010-11-01 B         TRUE        #>  8 161740  2005-06-21 B         TRUE        #>  9 174209  2011-10-03 A         TRUE        #> 10 210105  2009-06-13 B         TRUE        #> # ℹ 90 more rows  if (require(\"dplyr\")) {   df %>%     group_by(ward, patient) %>%     transmute(date,       patient,       new_index = get_episode(date, 60),       new_logical = is_new_episode(date, 60)     ) %>%     arrange(patient, ward, date) } #> # A tibble: 100 × 5 #> # Groups:   ward, patient [96] #>    ward       date       patient new_index new_logical #>    <chr>      <date>     <chr>       <int> <lgl>       #>  1 Clinical   2010-01-28 036063          1 TRUE        #>  2 Clinical   2009-08-18 077922          1 TRUE        #>  3 Clinical   2010-08-08 080086          1 TRUE        #>  4 Clinical   2015-10-12 0DBF93          1 TRUE        #>  5 Clinical   2005-06-16 105248          1 TRUE        #>  6 ICU        2003-04-08 114570          1 TRUE        #>  7 Clinical   2010-11-01 119392          1 TRUE        #>  8 Clinical   2005-06-21 161740          1 TRUE        #>  9 Outpatient 2011-10-03 174209          1 TRUE        #> 10 Clinical   2009-06-13 210105          1 TRUE        #> # ℹ 90 more rows  if (require(\"dplyr\")) {   df %>%     group_by(ward) %>%     summarise(       n_patients = n_distinct(patient),       n_episodes_365 = sum(is_new_episode(date, episode_days = 365)),       n_episodes_60 = sum(is_new_episode(date, episode_days = 60)),       n_episodes_30 = sum(is_new_episode(date, episode_days = 30))     ) } #> # A tibble: 3 × 5 #>   ward       n_patients n_episodes_365 n_episodes_60 n_episodes_30 #>   <chr>           <int>          <int>         <int>         <int> #> 1 Clinical           63             12            35            45 #> 2 ICU                24              9            17            21 #> 3 Outpatient          9              7             7             9  # grouping on patients and microorganisms leads to the same # results as first_isolate() when using 'episode-based': if (require(\"dplyr\")) {   x <- df %>%     filter_first_isolate(       include_unknown = TRUE,       method = \"episode-based\"     )    y <- df %>%     group_by(patient, mo) %>%     filter(is_new_episode(date, 365)) %>%     ungroup()    identical(x, y) } #> [1] TRUE  # but is_new_episode() has a lot more flexibility than first_isolate(), # since you can now group on anything that seems relevant: if (require(\"dplyr\")) {   df %>%     group_by(patient, mo, ward) %>%     mutate(flag_episode = is_new_episode(date, 365)) %>%     select(group_vars(.), flag_episode) } #> # A tibble: 100 × 4 #> # Groups:   patient, mo, ward [96] #>    patient mo           ward     flag_episode #>    <chr>   <mo>         <chr>    <lgl>        #>  1 686445  B_STPHY_CONS Clinical TRUE         #>  2 D39422  B_KLBSL_PNMN Clinical TRUE         #>  3 298662  B_ESCHR_COLI Clinical TRUE         #>  4 5B78D5  B_STPHY_AURS Clinical TRUE         #>  5 E52625  B_STRPT_PNMN Clinical TRUE         #>  6 645121  B_SERRT_MRCS Clinical TRUE         #>  7 807228  B_STRPT_PNMN Clinical TRUE         #>  8 D41749  B_ESCHR_COLI ICU      TRUE         #>  9 210105  B_ENTRC      Clinical TRUE         #> 10 789292  B_STRPT_SLVR Clinical TRUE         #> # ℹ 90 more rows # }"},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":null,"dir":"Reference","previous_headings":"","what":"PCA Biplot with ggplot2 — ggplot_pca","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"Produces ggplot2 variant -called biplot PCA (principal component analysis), flexible appealing base R biplot() function.","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"","code":"ggplot_pca(   x,   choices = 1:2,   scale = 1,   pc.biplot = TRUE,   labels = NULL,   labels_textsize = 3,   labels_text_placement = 1.5,   groups = NULL,   ellipse = TRUE,   ellipse_prob = 0.68,   ellipse_size = 0.5,   ellipse_alpha = 0.5,   points_size = 2,   points_alpha = 0.25,   arrows = TRUE,   arrows_colour = \"darkblue\",   arrows_size = 0.5,   arrows_textsize = 3,   arrows_textangled = TRUE,   arrows_alpha = 0.75,   base_textsize = 10,   ... )"},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"ggplot_pca() function based ggbiplot() function ggbiplot package Vince Vu, found GitHub: https://github.com/vqv/ggbiplot (retrieved: 2 March 2020, latest commit: 7325e88; 12 February 2015). per GPL-2 licence demands documentation code changes, changes made based source code : Rewritten code remove dependency packages plyr, scales grid Parametrised options, like arrow ellipse settings Hardened input possibilities defining exact type user input every argument Added total amount explained variance caption plot Cleaned syntax based lintr package, fixed grammatical errors added integrity checks Updated documentation","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"x object returned pca(), prcomp() princomp() choices length 2 vector specifying components plot. default     biplot strict sense. scale variables scaled lambda ^ scale     observations scaled lambda ^ (1-scale)     lambda singular values computed     princomp. Normally 0 <= scale <= 1, warning     issued specified scale outside range. pc.biplot true, use Gabriel (1971) refers \"principal component     biplot\", lambda = 1 observations scaled sqrt(n)     variables scaled sqrt(n).  inner products     variables approximate covariances distances observations     approximate Mahalanobis distance. labels optional vector labels observations. set, labels placed respective points. using pca() function input x, determined automatically based attribute non_numeric_cols, see pca(). labels_textsize size text used labels labels_text_placement adjustment factor placement variable names (>=1 means away arrow head) groups optional vector groups labels, length labels. set, points labels coloured according groups. using pca() function input x, determined automatically based attribute non_numeric_cols, see pca(). ellipse logical indicate whether normal data ellipse drawn group (set groups) ellipse_prob statistical size ellipse normal probability ellipse_size size ellipse line ellipse_alpha alpha (transparency) ellipse line points_size size points points_alpha alpha (transparency) points arrows logical indicate whether arrows drawn arrows_colour colour arrow text arrows_size size (thickness) arrow lines arrows_textsize size text end arrows arrows_textangled logical whether text end arrows angled arrows_alpha alpha (transparency) arrows text base_textsize text size plot elements except labels arrows ... arguments passed functions","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"colours labels points can changed adding another scale layer colour, scale_colour_viridis_d() scale_colour_brewer().","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"","code":"# `example_isolates` is a data set available in the AMR package. # See ?example_isolates.  # \\donttest{ if (require(\"dplyr\")) {   # calculate the resistance per group first   resistance_data <- example_isolates %>%     group_by(       order = mo_order(mo), # group on anything, like order       genus = mo_genus(mo)     ) %>% #   and genus as we do here;     filter(n() >= 30) %>% # filter on only 30 results per group     summarise_if(is.sir, resistance) # then get resistance of all drugs    # now conduct PCA for certain antimicrobial drugs   pca_result <- resistance_data %>%     pca(AMC, CXM, CTX, CAZ, GEN, TOB, TMP, SXT)    summary(pca_result)    # old base R plotting method:   biplot(pca_result, main = \"Base R biplot\")    # new ggplot2 plotting method using this package:   if (require(\"ggplot2\")) {     ggplot_pca(pca_result) +       labs(title = \"ggplot2 biplot\")   }   if (require(\"ggplot2\")) {     # still extendible with any ggplot2 function     ggplot_pca(pca_result) +       scale_colour_viridis_d() +       labs(title = \"ggplot2 biplot\")   } } #> Warning: There were 73 warnings in `summarise()`. #> The first warning was: #> ℹ In argument: `PEN = (function (..., minimum = 30, as_percent = FALSE, #>   only_all_tested = FALSE) ...`. #> ℹ In group 5: `order = \"Lactobacillales\"` and `genus = \"Enterococcus\"`. #> Caused by warning: #> ! Introducing NA: only 14 results available for PEN in group: order = #> \"Lactobacillales\", genus = \"Enterococcus\" (minimum = 30). #> ℹ Run `dplyr::last_dplyr_warnings()` to see the 72 remaining warnings. #> ℹ Columns selected for PCA: \"AMC\", \"CAZ\", \"CTX\", \"CXM\", \"GEN\", \"SXT\", #>   \"TMP\", and \"TOB\". Total observations available: 7. #> Groups (n=4, named as 'order'): #> [1] \"Caryophanales\"    \"Enterobacterales\" \"Lactobacillales\"  \"Pseudomonadales\"  #>    # }"},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":null,"dir":"Reference","previous_headings":"","what":"AMR Plots with ggplot2 — ggplot_sir","title":"AMR Plots with ggplot2 — ggplot_sir","text":"Use functions create bar plots AMR data analysis. functions rely ggplot2 functions.","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"AMR Plots with ggplot2 — ggplot_sir","text":"","code":"ggplot_sir(   data,   position = NULL,   x = \"antibiotic\",   fill = \"interpretation\",   facet = NULL,   breaks = seq(0, 1, 0.1),   limits = NULL,   translate_ab = \"name\",   combine_SI = TRUE,   minimum = 30,   language = get_AMR_locale(),   nrow = NULL,   colours = c(S = \"#3CAEA3\", SI = \"#3CAEA3\", I = \"#F6D55C\", IR = \"#ED553B\", R =     \"#ED553B\"),   datalabels = TRUE,   datalabels.size = 2.5,   datalabels.colour = \"grey15\",   title = NULL,   subtitle = NULL,   caption = NULL,   x.title = \"Antimicrobial\",   y.title = \"Proportion\",   ... )  geom_sir(   position = NULL,   x = c(\"antibiotic\", \"interpretation\"),   fill = \"interpretation\",   translate_ab = \"name\",   minimum = 30,   language = get_AMR_locale(),   combine_SI = TRUE,   ... )  facet_sir(facet = c(\"interpretation\", \"antibiotic\"), nrow = NULL)  scale_y_percent(breaks = seq(0, 1, 0.1), limits = NULL)  scale_sir_colours(..., aesthetics = \"fill\")  theme_sir()  labels_sir_count(   position = NULL,   x = \"antibiotic\",   translate_ab = \"name\",   minimum = 30,   language = get_AMR_locale(),   combine_SI = TRUE,   datalabels.size = 3,   datalabels.colour = \"grey15\" )"},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"AMR Plots with ggplot2 — ggplot_sir","text":"data data.frame column(s) class sir (see .sir()) position position adjustment bars, either \"fill\", \"stack\" \"dodge\" x variable show x axis, either \"antibiotic\" (default) \"interpretation\" grouping variable fill variable categorise using plots legend, either \"antibiotic\" (default) \"interpretation\" grouping variable facet variable split plots , either \"interpretation\" (default) \"antibiotic\" grouping variable breaks numeric vector positions limits numeric vector length two providing limits scale, use NA refer existing minimum maximum translate_ab column name antibiotics data set translate antibiotic abbreviations , using ab_property() combine_SI logical indicate whether values S must merged one, output consists S+vs. R (susceptible vs. resistant) - default TRUE minimum minimum allowed number available (tested) isolates. isolate count lower minimum return NA warning. default number 30 isolates advised Clinical Laboratory Standards Institute (CLSI) best practice, see Source. language language returned text - default current system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. nrow (using facet) number rows colours named vactor colour used filling. default colours colour-blind friendly. datalabels show datalabels using labels_sir_count() datalabels.size size datalabels datalabels.colour colour datalabels title text show title plot subtitle text show subtitle plot caption text show caption plot x.title text show x axis description y.title text show y axis description ... arguments passed geom_sir() , case scale_sir_colours(), named values set colours. default colours colour-blind friendly, maintaining convention e.g. 'susceptible' green 'resistant' red. See Examples. aesthetics aesthetics apply colours - default \"fill\" can also (combination ) \"alpha\", \"colour\", \"fill\", \"linetype\", \"shape\" \"size\"","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"AMR Plots with ggplot2 — ggplot_sir","text":"default, names antibiotics shown plots using ab_name(). can set translate_ab argument. See count_df().","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":"the-functions","dir":"Reference","previous_headings":"","what":"The Functions","title":"AMR Plots with ggplot2 — ggplot_sir","text":"geom_sir() take variable data sir class (created .sir()) using sir_df() plot bars percentage S, , R. default behaviour bars stacked different antibiotics x axis. facet_sir() creates 2d plots (default based S//R) using ggplot2::facet_wrap(). scale_y_percent() transforms y axis 0 100% range using ggplot2::scale_y_continuous(). scale_sir_colours() sets colours bars (green S, yellow , red R). multilingual support. default colours colour-blind friendly, maintaining convention e.g. 'susceptible' green 'resistant' red. theme_sir() [ggplot2 theme][ggplot2::theme() minimal distraction. labels_sir_count() print datalabels bars percentage amount isolates using ggplot2::geom_text(). ggplot_sir() wrapper around functions uses data first input. makes possible use function pipe (%>%). See Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"AMR Plots with ggplot2 — ggplot_sir","text":"","code":"# \\donttest{ if (require(\"ggplot2\") && require(\"dplyr\")) {   # get antimicrobial results for drugs against a UTI:   ggplot(example_isolates %>% select(AMX, NIT, FOS, TMP, CIP)) +     geom_sir() }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # prettify the plot using some additional functions:   df <- example_isolates %>% select(AMX, NIT, FOS, TMP, CIP)   ggplot(df) +     geom_sir() +     scale_y_percent() +     scale_sir_colours() +     labels_sir_count() +     theme_sir() }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # or better yet, simplify this using the wrapper function - a single command:   example_isolates %>%     select(AMX, NIT, FOS, TMP, CIP) %>%     ggplot_sir() }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # get only proportions and no counts:   example_isolates %>%     select(AMX, NIT, FOS, TMP, CIP) %>%     ggplot_sir(datalabels = FALSE) }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # add other ggplot2 arguments as you like:   example_isolates %>%     select(AMX, NIT, FOS, TMP, CIP) %>%     ggplot_sir(       width = 0.5,       colour = \"black\",       size = 1,       linetype = 2,       alpha = 0.25     ) }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # you can alter the colours with colour names:   example_isolates %>%     select(AMX) %>%     ggplot_sir(colours = c(SI = \"yellow\")) }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # but you can also use the built-in colour-blind friendly colours for   # your plots, where \"S\" is green, \"I\" is yellow and \"R\" is red:   data.frame(     x = c(\"Value1\", \"Value2\", \"Value3\"),     y = c(1, 2, 3),     z = c(\"Value4\", \"Value5\", \"Value6\")   ) %>%     ggplot() +     geom_col(aes(x = x, y = y, fill = z)) +     scale_sir_colours(Value4 = \"S\", Value5 = \"I\", Value6 = \"R\") }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # resistance of ciprofloxacine per age group   example_isolates %>%     mutate(first_isolate = first_isolate()) %>%     filter(       first_isolate == TRUE,       mo == as.mo(\"Escherichia coli\")     ) %>%     # age_groups() is also a function in this AMR package:     group_by(age_group = age_groups(age)) %>%     select(age_group, CIP) %>%     ggplot_sir(x = \"age_group\") } #> Warning: Removed 6 rows containing missing values (`position_stack()`). #> Warning: Removed 6 rows containing missing values (`position_stack()`).  if (require(\"ggplot2\") && require(\"dplyr\")) {   # a shorter version which also adjusts data label colours:   example_isolates %>%     select(AMX, NIT, FOS, TMP, CIP) %>%     ggplot_sir(colours = FALSE) }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # it also supports groups (don't forget to use the group var on `x` or `facet`):   example_isolates %>%     filter(mo_is_gram_negative(), ward != \"Outpatient\") %>%     # select only UTI-specific drugs     select(ward, AMX, NIT, FOS, TMP, CIP) %>%     group_by(ward) %>%     ggplot_sir(       x = \"ward\",       facet = \"antibiotic\",       nrow = 1,       title = \"AMR of Anti-UTI Drugs Per Ward\",       x.title = \"Ward\",       datalabels = FALSE     ) } #> ℹ Using column 'mo' as input for mo_is_gram_negative()  # }"},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":null,"dir":"Reference","previous_headings":"","what":"Guess Antibiotic Column — guess_ab_col","title":"Guess Antibiotic Column — guess_ab_col","text":"tries find column name data set based information antibiotics data set. Also supports WHONET abbreviations.","code":""},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Guess Antibiotic Column — guess_ab_col","text":"","code":"guess_ab_col(   x = NULL,   search_string = NULL,   verbose = FALSE,   only_sir_columns = FALSE )"},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Guess Antibiotic Column — guess_ab_col","text":"x data.frame search_string text search x , checked .ab() value column x verbose logical indicate whether additional info printed only_sir_columns logical indicate whether antibiotic columns must detected transformed class sir (see .sir()) beforehand (default FALSE)","code":""},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Guess Antibiotic Column — guess_ab_col","text":"column name x, NULL result found.","code":""},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Guess Antibiotic Column — guess_ab_col","text":"can look antibiotic (trade) name abbreviation search x antibiotics data set column containing name code antibiotic.","code":""},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Guess Antibiotic Column — guess_ab_col","text":"","code":"df <- data.frame(   amox = \"S\",   tetr = \"R\" )  guess_ab_col(df, \"amoxicillin\") #> [1] \"amox\" guess_ab_col(df, \"J01AA07\") # ATC code of tetracycline #> [1] \"tetr\"  guess_ab_col(df, \"J01AA07\", verbose = TRUE) #> Auto-guessing columns suitable for analysis #> ... #>  OK. #> ℹ Using column 'amox' as input for AMX (amoxicillin). #> ℹ Using column 'tetr' as input for TCY (tetracycline). #> ℹ Using column 'tetr' as input for J01AA07 (tetracycline). #> [1] \"tetr\" # NOTE: Using column 'tetr' as input for J01AA07 (tetracycline).  # WHONET codes df <- data.frame(   AMP_ND10 = \"R\",   AMC_ED20 = \"S\" ) guess_ab_col(df, \"ampicillin\") #> [1] \"AMP_ND10\" guess_ab_col(df, \"J01CR02\") #> [1] \"AMC_ED20\" guess_ab_col(df, as.ab(\"augmentin\")) #> [1] \"AMC_ED20\""},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"Data set containing defined intrinsic resistance EUCAST bug-drug combinations.","code":""},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"","code":"intrinsic_resistant"},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"tibble 134 634 observations 2 variables: mo Microorganism ID ab Antibiotic ID","code":""},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"data set based 'EUCAST Expert Rules' 'EUCAST Intrinsic Resistance Unusual Phenotypes' v3.3 (2021).","code":""},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":"direct-download","dir":"Reference","previous_headings":"","what":"Direct download","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository. allow machine reading EUCAST CLSI guidelines, almost impossible MS Excel PDF files distributed EUCAST CLSI.","code":""},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"","code":"intrinsic_resistant #> # A tibble: 134,634 × 2 #>    mo      ab    #>    <mo>    <chr> #>  1 B_GRAMP ATM   #>  2 B_GRAMP COL   #>  3 B_GRAMP NAL   #>  4 B_GRAMP PLB   #>  5 B_GRAMP TEM   #>  6 B_ABTRP ATM   #>  7 B_ABTRP COL   #>  8 B_ABTRP NAL   #>  9 B_ABTRP PLB   #> 10 B_ABTRP TEM   #> # ℹ 134,624 more rows"},{"path":"https://msberends.github.io/AMR/reference/italicise_taxonomy.html","id":null,"dir":"Reference","previous_headings":"","what":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","title":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","text":"According binomial nomenclature, lowest four taxonomic levels (family, genus, species, subspecies) printed italics. function finds taxonomic names within strings makes italic.","code":""},{"path":"https://msberends.github.io/AMR/reference/italicise_taxonomy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","text":"","code":"italicise_taxonomy(string, type = c(\"markdown\", \"ansi\", \"html\"))  italicize_taxonomy(string, type = c(\"markdown\", \"ansi\", \"html\"))"},{"path":"https://msberends.github.io/AMR/reference/italicise_taxonomy.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","text":"string character (vector) type type conversion taxonomic names, either \"markdown\", \"html\" \"ansi\", see Details","code":""},{"path":"https://msberends.github.io/AMR/reference/italicise_taxonomy.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","text":"function finds taxonomic names makes italic based microorganisms data set. taxonomic names can italicised using markdown (default) adding * taxonomic names, <> <\/> using html. using 'ansi', ANSI colours added using \\033[3m \\033[23m taxonomic names. multiple ANSI colours available, conversion occur. function also supports abbreviation genus followed species, \"E. coli\" \"K. pneumoniae ozaenae\".","code":""},{"path":"https://msberends.github.io/AMR/reference/italicise_taxonomy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","text":"","code":"italicise_taxonomy(\"An overview of Staphylococcus aureus isolates\") #> [1] \"An overview of *Staphylococcus aureus* isolates\" italicise_taxonomy(\"An overview of S. aureus isolates\") #> [1] \"An overview of *S. aureus* isolates\"  cat(italicise_taxonomy(\"An overview of S. aureus isolates\", type = \"ansi\")) #> An overview of S. aureus isolates"},{"path":"https://msberends.github.io/AMR/reference/join.html","id":null,"dir":"Reference","previous_headings":"","what":"Join microorganisms to a Data Set — join","title":"Join microorganisms to a Data Set — join","text":"Join data set microorganisms easily existing data set character vector.","code":""},{"path":"https://msberends.github.io/AMR/reference/join.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Join microorganisms to a Data Set — join","text":"","code":"inner_join_microorganisms(x, by = NULL, suffix = c(\"2\", \"\"), ...)  left_join_microorganisms(x, by = NULL, suffix = c(\"2\", \"\"), ...)  right_join_microorganisms(x, by = NULL, suffix = c(\"2\", \"\"), ...)  full_join_microorganisms(x, by = NULL, suffix = c(\"2\", \"\"), ...)  semi_join_microorganisms(x, by = NULL, ...)  anti_join_microorganisms(x, by = NULL, ...)"},{"path":"https://msberends.github.io/AMR/reference/join.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Join microorganisms to a Data Set — join","text":"x existing data set join, character vector. case character vector, resulting data.frame contain column 'x' values. variable join - left empty search column class mo (created .mo()) \"mo\" column name exists x, otherwise column name x values exist microorganisms$mo (= \"bacteria_id\"), another column microorganisms (named, like = c(\"bacteria_id\" = \"fullname\")) suffix non-joined duplicate variables x y, suffixes added output disambiguate . character vector length 2. ... ignored, place allow future extensions","code":""},{"path":"https://msberends.github.io/AMR/reference/join.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Join microorganisms to a Data Set — join","text":"data.frame","code":""},{"path":"https://msberends.github.io/AMR/reference/join.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Join microorganisms to a Data Set — join","text":"Note: opposed join() functions dplyr, character vectors supported default existing columns get suffix \"2\" newly joined columns get suffix. dplyr package installed, join functions used. Otherwise, much slower merge() interaction() functions base R used.","code":""},{"path":"https://msberends.github.io/AMR/reference/join.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Join microorganisms to a Data Set — join","text":"","code":"left_join_microorganisms(as.mo(\"K. pneumoniae\")) #> # A tibble: 1 × 23 #>   mo           fullname   status kingdom phylum class order family genus species #>   <mo>         <chr>      <chr>  <chr>   <chr>  <chr> <chr> <chr>  <chr> <chr>   #> 1 B_KLBSL_PNMN Klebsiell… accep… Bacter… Pseud… Gamm… Ente… Enter… Kleb… pneumo… #> # ℹ 13 more variables: subspecies <chr>, rank <chr>, ref <chr>, #> #   oxygen_tolerance <chr>, source <chr>, lpsn <chr>, lpsn_parent <chr>, #> #   lpsn_renamed_to <chr>, gbif <chr>, gbif_parent <chr>, #> #   gbif_renamed_to <chr>, prevalence <dbl>, snomed <list> left_join_microorganisms(\"B_KLBSL_PNMN\") #> # A tibble: 1 × 23 #>   mo           fullname   status kingdom phylum class order family genus species #>   <mo>         <chr>      <chr>  <chr>   <chr>  <chr> <chr> <chr>  <chr> <chr>   #> 1 B_KLBSL_PNMN Klebsiell… accep… Bacter… Pseud… Gamm… Ente… Enter… Kleb… pneumo… #> # ℹ 13 more variables: subspecies <chr>, rank <chr>, ref <chr>, #> #   oxygen_tolerance <chr>, source <chr>, lpsn <chr>, lpsn_parent <chr>, #> #   lpsn_renamed_to <chr>, gbif <chr>, gbif_parent <chr>, #> #   gbif_renamed_to <chr>, prevalence <dbl>, snomed <list>  df <- data.frame(   date = seq(     from = as.Date(\"2018-01-01\"),     to = as.Date(\"2018-01-07\"),     by = 1   ),   bacteria = as.mo(c(     \"S. aureus\", \"MRSA\", \"MSSA\", \"STAAUR\",     \"E. coli\", \"E. coli\", \"E. coli\"   )),   stringsAsFactors = FALSE ) colnames(df) #> [1] \"date\"     \"bacteria\"  df_joined <- left_join_microorganisms(df, \"bacteria\") colnames(df_joined) #>  [1] \"date\"             \"bacteria\"         \"fullname\"         \"status\"           #>  [5] \"kingdom\"          \"phylum\"           \"class\"            \"order\"            #>  [9] \"family\"           \"genus\"            \"species\"          \"subspecies\"       #> [13] \"rank\"             \"ref\"              \"oxygen_tolerance\" \"source\"           #> [17] \"lpsn\"             \"lpsn_parent\"      \"lpsn_renamed_to\"  \"gbif\"             #> [21] \"gbif_parent\"      \"gbif_renamed_to\"  \"prevalence\"       \"snomed\"            # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     left_join_microorganisms() %>%     colnames() } #> Joining, by = \"mo\" #>  [1] \"date\"             \"patient\"          \"age\"              \"gender\"           #>  [5] \"ward\"             \"mo\"               \"PEN\"              \"OXA\"              #>  [9] \"FLC\"              \"AMX\"              \"AMC\"              \"AMP\"              #> [13] \"TZP\"              \"CZO\"              \"FEP\"              \"CXM\"              #> [17] \"FOX\"              \"CTX\"              \"CAZ\"              \"CRO\"              #> [21] \"GEN\"              \"TOB\"              \"AMK\"              \"KAN\"              #> [25] \"TMP\"              \"SXT\"              \"NIT\"              \"FOS\"              #> [29] \"LNZ\"              \"CIP\"              \"MFX\"              \"VAN\"              #> [33] \"TEC\"              \"TCY\"              \"TGC\"              \"DOX\"              #> [37] \"ERY\"              \"CLI\"              \"AZM\"              \"IPM\"              #> [41] \"MEM\"              \"MTR\"              \"CHL\"              \"COL\"              #> [45] \"MUP\"              \"RIF\"              \"fullname\"         \"status\"           #> [49] \"kingdom\"          \"phylum\"           \"class\"            \"order\"            #> [53] \"family\"           \"genus\"            \"species\"          \"subspecies\"       #> [57] \"rank\"             \"ref\"              \"oxygen_tolerance\" \"source\"           #> [61] \"lpsn\"             \"lpsn_parent\"      \"lpsn_renamed_to\"  \"gbif\"             #> [65] \"gbif_parent\"      \"gbif_renamed_to\"  \"prevalence\"       \"snomed\"           # }"},{"path":"https://msberends.github.io/AMR/reference/key_antimicrobials.html","id":null,"dir":"Reference","previous_headings":"","what":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","title":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","text":"functions can used determine first weighted isolates considering phenotype isolate selection (see first_isolate()). Using phenotype-based method determine first isolates reliable methods disregard phenotypes.","code":""},{"path":"https://msberends.github.io/AMR/reference/key_antimicrobials.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","text":"","code":"key_antimicrobials(   x = NULL,   col_mo = NULL,   universal = c(\"ampicillin\", \"amoxicillin/clavulanic acid\", \"cefuroxime\",     \"piperacillin/tazobactam\", \"ciprofloxacin\", \"trimethoprim/sulfamethoxazole\"),   gram_negative = c(\"gentamicin\", \"tobramycin\", \"colistin\", \"cefotaxime\", \"ceftazidime\",     \"meropenem\"),   gram_positive = c(\"vancomycin\", \"teicoplanin\", \"tetracycline\", \"erythromycin\",     \"oxacillin\", \"rifampin\"),   antifungal = c(\"anidulafungin\", \"caspofungin\", \"fluconazole\", \"miconazole\", \"nystatin\",     \"voriconazole\"),   only_sir_columns = FALSE,   ... )  all_antimicrobials(x = NULL, only_sir_columns = FALSE, ...)  antimicrobials_equal(   y,   z,   type = c(\"points\", \"keyantimicrobials\"),   ignore_I = TRUE,   points_threshold = 2,   ... )"},{"path":"https://msberends.github.io/AMR/reference/key_antimicrobials.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","text":"x data.frame antibiotics columns, like AMX amox. Can left blank determine automatically col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). universal names broad-spectrum antimicrobial drugs, case-insensitive. Set NULL ignore. See Details default antimicrobial drugs gram_negative names antibiotic drugs Gram-positives, case-insensitive. Set NULL ignore. See Details default antibiotic drugs gram_positive names antibiotic drugs Gram-negatives, case-insensitive. Set NULL ignore. See Details default antibiotic drugs antifungal names antifungal drugs fungi, case-insensitive. Set NULL ignore. See Details default antifungal drugs only_sir_columns logical indicate whether columns must included transformed class sir (see .sir()) beforehand (default FALSE) ... ignored, place allow future extensions y, z character vectors compare type type determine weighed isolates; can \"keyantimicrobials\" \"points\", see Details ignore_I logical indicate whether antibiotic interpretations \"\" ignored type = \"keyantimicrobials\", see Details points_threshold minimum number points require differences antibiogram lead inclusion isolate type = \"points\", see Details","code":""},{"path":"https://msberends.github.io/AMR/reference/key_antimicrobials.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","text":"key_antimicrobials() all_antimicrobials() functions context-aware. means x argument can left blank used inside data.frame call, see Examples. function key_antimicrobials() returns character vector 12 antimicrobial results every isolate. function all_antimicrobials() returns character vector antimicrobial drug results every isolate. vectors can compared using antimicrobials_equal(), check two isolates generally antibiogram. Missing invalid values replaced dot (\".\") key_antimicrobials() ignored antimicrobials_equal(). Please see first_isolate() function important functions enable 'phenotype-based' method determination first isolates. default antimicrobial drugs used rows (set universal) : Ampicillin Amoxicillin/clavulanic acid Cefuroxime Ciprofloxacin Piperacillin/tazobactam Trimethoprim/sulfamethoxazole default antimicrobial drugs used Gram-negative bacteria (set gram_negative) : Cefotaxime Ceftazidime Colistin Gentamicin Meropenem Tobramycin default antimicrobial drugs used Gram-positive bacteria (set gram_positive) : Erythromycin Oxacillin Rifampin Teicoplanin Tetracycline Vancomycin default antimicrobial drugs used fungi (set antifungal) : Anidulafungin Caspofungin Fluconazole Miconazole Nystatin Voriconazole","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/key_antimicrobials.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","text":"","code":"# `example_isolates` is a data set available in the AMR package. # See ?example_isolates.  # output of the `key_antimicrobials()` function could be like this: strainA <- \"SSSRR.S.R..S\" strainB <- \"SSSIRSSSRSSS\"  # those strings can be compared with: antimicrobials_equal(strainA, strainB, type = \"keyantimicrobials\") #> [1] TRUE # TRUE, because I is ignored (as well as missing values)  antimicrobials_equal(strainA, strainB, type = \"keyantimicrobials\", ignore_I = FALSE) #> [1] FALSE # FALSE, because I is not ignored and so the 4th [character] differs  # \\donttest{ if (require(\"dplyr\")) {   # set key antibiotics to a new variable   my_patients <- example_isolates %>%     mutate(keyab = key_antimicrobials(antifungal = NULL)) %>% # no need to define `x`     mutate(       # now calculate first isolates       first_regular = first_isolate(col_keyantimicrobials = FALSE),       # and first WEIGHTED isolates       first_weighted = first_isolate(col_keyantimicrobials = \"keyab\")     )    # Check the difference in this data set, 'weighted' results in more isolates:   sum(my_patients$first_regular, na.rm = TRUE)   sum(my_patients$first_weighted, na.rm = TRUE) } #> [1] 1376 # }"},{"path":"https://msberends.github.io/AMR/reference/kurtosis.html","id":null,"dir":"Reference","previous_headings":"","what":"Kurtosis of the Sample — kurtosis","title":"Kurtosis of the Sample — kurtosis","text":"Kurtosis measure \"tailedness\" probability distribution real-valued random variable. normal distribution kurtosis 3 excess kurtosis 0.","code":""},{"path":"https://msberends.github.io/AMR/reference/kurtosis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Kurtosis of the Sample — kurtosis","text":"","code":"kurtosis(x, na.rm = FALSE, excess = FALSE)  # S3 method for default kurtosis(x, na.rm = FALSE, excess = FALSE)  # S3 method for matrix kurtosis(x, na.rm = FALSE, excess = FALSE)  # S3 method for data.frame kurtosis(x, na.rm = FALSE, excess = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/kurtosis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Kurtosis of the Sample — kurtosis","text":"x vector values, matrix data.frame na.rm logical indicate whether NA values stripped computation proceeds excess logical indicate whether excess kurtosis returned, defined kurtosis minus 3.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/kurtosis.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Kurtosis of the Sample — kurtosis","text":"","code":"kurtosis(rnorm(10000)) #> [1] 3.021297 kurtosis(rnorm(10000), excess = TRUE) #> [1] 0.08143396"},{"path":"https://msberends.github.io/AMR/reference/like.html","id":null,"dir":"Reference","previous_headings":"","what":"Vectorised Pattern Matching with Keyboard Shortcut — like","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"Convenient wrapper around grepl() match pattern: x %like% pattern. always returns logical vector always case-insensitive (use x %like_case% pattern case-sensitive matching). Also, pattern can long x compare items index vectors, can length iterate cases.","code":""},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"","code":"like(x, pattern, ignore.case = TRUE)  x %like% pattern  x %unlike% pattern  x %like_case% pattern  x %unlike_case% pattern"},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"Idea like function data.table package, although altered explained Details.","code":""},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"x character vector matches sought, object can coerced .character() character vector. pattern character vector containing regular expressions (character string fixed = TRUE) matched given character vector. Coerced .character() character string possible. ignore.case FALSE, pattern matching case sensitive TRUE, case ignored matching.","code":""},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"logical vector","code":""},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"like() %like%/%unlike% functions: case-insensitive (use %like_case%/%unlike_case% case-sensitive matching) Support multiple patterns Check pattern valid regular expression sets fixed = TRUE , greatly improve speed (vectorised pattern) Always use compatibility Perl unless fixed = TRUE, greatly improve speed Using RStudio? %like%/%unlike% functions can also directly inserted code Addins menu can keyboard shortcut like Shift+Ctrl+L Shift+Cmd+L (see menu Tools > Modify Keyboard Shortcuts...). keep pressing shortcut, inserted text iterated %like% -> %unlike% -> %like_case% -> %unlike_case%.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"","code":"# data.table has a more limited version of %like%, so unload it: try(detach(\"package:data.table\", unload = TRUE), silent = TRUE)  a <- \"This is a test\" b <- \"TEST\" a %like% b #> [1] TRUE b %like% a #> [1] FALSE  # also supports multiple patterns a <- c(\"Test case\", \"Something different\", \"Yet another thing\") b <- c(\"case\", \"diff\", \"yet\") a %like% b #> [1] TRUE TRUE TRUE a %unlike% b #> [1] FALSE FALSE FALSE  a[1] %like% b #> [1]  TRUE FALSE FALSE a %like% b[1] #> [1]  TRUE FALSE FALSE  # \\donttest{ # get isolates whose name start with 'Entero' (case-insensitive) example_isolates[which(mo_name() %like% \"^entero\"), ] #> ℹ Using column 'mo' as input for mo_name() #> # A tibble: 106 × 46 #>    date       patient   age gender ward    mo            PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>   <mo>          <sir> <sir> <sir> <sir> #>  1 2002-02-21 4FC193     69 M      Clinic… B_ENTRC_FACM  NA    NA    NA    NA    #>  2 2002-04-08 130252     78 M      ICU     B_ENTRC_FCLS  NA    NA    NA    NA    #>  3 2002-06-23 798871     82 M      Clinic… B_ENTRC_FCLS  NA    NA    NA    NA    #>  4 2002-06-23 798871     82 M      Clinic… B_ENTRC_FCLS  NA    NA    NA    NA    #>  5 2003-04-20 6BC362     62 M      ICU     B_ENTRC       NA    NA    NA    NA    #>  6 2003-04-21 6BC362     62 M      ICU     B_ENTRC       NA    NA    NA    NA    #>  7 2003-08-13 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #>  8 2003-08-13 F35553     52 M      ICU     B_ENTRC_FCLS  NA    NA    NA    NA    #>  9 2003-09-05 F35553     52 M      ICU     B_ENTRC       NA    NA    NA    NA    #> 10 2003-09-05 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #> # ℹ 96 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  if (require(\"dplyr\")) {   example_isolates %>%     filter(mo_name() %like% \"^ent\") } #> ℹ Using column 'mo' as input for mo_name() #> # A tibble: 106 × 46 #>    date       patient   age gender ward    mo            PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>   <mo>          <sir> <sir> <sir> <sir> #>  1 2002-02-21 4FC193     69 M      Clinic… B_ENTRC_FACM  NA    NA    NA    NA    #>  2 2002-04-08 130252     78 M      ICU     B_ENTRC_FCLS  NA    NA    NA    NA    #>  3 2002-06-23 798871     82 M      Clinic… B_ENTRC_FCLS  NA    NA    NA    NA    #>  4 2002-06-23 798871     82 M      Clinic… B_ENTRC_FCLS  NA    NA    NA    NA    #>  5 2003-04-20 6BC362     62 M      ICU     B_ENTRC       NA    NA    NA    NA    #>  6 2003-04-21 6BC362     62 M      ICU     B_ENTRC       NA    NA    NA    NA    #>  7 2003-08-13 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #>  8 2003-08-13 F35553     52 M      ICU     B_ENTRC_FCLS  NA    NA    NA    NA    #>  9 2003-09-05 F35553     52 M      ICU     B_ENTRC       NA    NA    NA    NA    #> 10 2003-09-05 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #> # ℹ 96 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … # }"},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"Determine isolates multidrug-resistant organisms (MDRO) according international, national custom guidelines.","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"","code":"mdro(   x = NULL,   guideline = \"CMI2012\",   col_mo = NULL,   info = interactive(),   pct_required_classes = 0.5,   combine_SI = TRUE,   verbose = FALSE,   only_sir_columns = FALSE,   ... )  custom_mdro_guideline(..., as_factor = TRUE)  brmo(x = NULL, only_sir_columns = FALSE, ...)  mrgn(x = NULL, only_sir_columns = FALSE, ...)  mdr_tb(x = NULL, only_sir_columns = FALSE, ...)  mdr_cmi2012(x = NULL, only_sir_columns = FALSE, ...)  eucast_exceptional_phenotypes(x = NULL, only_sir_columns = FALSE, ...)"},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"See supported guidelines list publications used function.","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"x data.frame antibiotics columns, like AMX amox. Can left blank automatic determination. guideline specific guideline follow, see sections Supported international / national guidelines Using Custom Guidelines . left empty, publication Magiorakos et al. (see ) followed. col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). info logical indicate whether progress printed console - default print interactive sessions pct_required_classes minimal required percentage antimicrobial classes must available per isolate, rounded . example, default guideline, 17 antimicrobial classes must available S. aureus. Setting pct_required_classes argument 0.5 (default) means every S. aureus isolate least 8 different classes must available. lower number available classes return NA isolate. combine_SI logical indicate whether values S must merged one, resistance considered isolates R, . default behaviour mdro() function, follows redefinition EUCAST interpretation (increased exposure) 2019, see section 'Interpretation S, R' . using combine_SI = FALSE, resistance considered isolates R . verbose logical turn Verbose mode (default ). Verbose mode, function return MDRO results, instead returns data set logbook form extensive info isolates MDRO-positive, . only_sir_columns logical indicate whether antibiotic columns must detected transformed class sir (see .sir()) beforehand (default FALSE) ... case custom_mdro_guideline(): set rules, see section Using Custom Guidelines . Otherwise: column name antibiotic, see section Antibiotics . as_factor logical indicate whether returned value ordered factor (TRUE, default), otherwise character vector","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"CMI 2012 paper - function mdr_cmi2012() mdro(): Ordered factor levels Negative < Multi-drug-resistant (MDR) < Extensively drug-resistant (XDR) < Pandrug-resistant (PDR) TB guideline - function mdr_tb() mdro(..., guideline = \"TB\"): Ordered factor levels Negative < Mono-resistant < Poly-resistant < Multi-drug-resistant < Extensively drug-resistant German guideline - function mrgn() mdro(..., guideline = \"MRGN\"): Ordered factor levels Negative < 3MRGN < 4MRGN Everything else, except custom guidelines: Ordered factor levels Negative < Positive, unconfirmed < Positive. value \"Positive, unconfirmed\" means , according guideline, entirely sure isolate multi-drug resistant confirmed additional (e.g. molecular) tests","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"functions context-aware. means x argument can left blank used inside data.frame call, see Examples. pct_required_classes argument, values 1 divided 100. support fractions (0.75 3/4) percentages (75). Note: Every test involves Enterobacteriaceae family, internally performed using newly named order Enterobacterales, since Enterobacteriaceae family taxonomically reclassified Adeolu et al. 2016. , Enterobacteriaceae family Enterobacteriales () order. species old Enterobacteriaceae family still new Enterobacterales (without ) order, divided multiple families. way tests performed now mdro() function makes sure results 2016 2016 identical.","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"supported-international-national-guidelines","dir":"Reference","previous_headings":"","what":"Supported International / National Guidelines","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"Currently supported guidelines (case-insensitive): guideline = \"CMI2012\" (default) Magiorakos AP, Srinivasan et al. \"Multidrug-resistant, extensively drug-resistant pandrug-resistant bacteria: international expert proposal interim standard definitions acquired resistance.\" Clinical Microbiology Infection (2012) (doi:10.1111/j.1469-0691.2011.03570.x ) guideline = \"EUCAST3.3\" (simply guideline = \"EUCAST\") European international guideline - EUCAST Expert Rules Version 3.3 \"Intrinsic Resistance Unusual Phenotypes\" (link) guideline = \"EUCAST3.2\" European international guideline - EUCAST Expert Rules Version 3.2 \"Intrinsic Resistance Unusual Phenotypes\" (link) guideline = \"EUCAST3.1\" European international guideline - EUCAST Expert Rules Version 3.1 \"Intrinsic Resistance Exceptional Phenotypes Tables\" (link) guideline = \"TB\" international guideline multi-drug resistant tuberculosis - World Health Organization \"Companion handbook guidelines programmatic management drug-resistant tuberculosis\" (link) guideline = \"MRGN\" German national guideline - Mueller et al. (2015) Antimicrobial Resistance Infection Control 4:7; doi:10.1186/s13756-015-0047-6 guideline = \"BRMO\" Dutch national guideline - Rijksinstituut voor Volksgezondheid en Milieu \"WIP-richtlijn BRMO (Bijzonder Resistente Micro-Organismen) (ZKH)\" (link) Please suggest (country-specific) guidelines letting us know: https://github.com/msberends/AMR/issues/new.","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"using-custom-guidelines","dir":"Reference","previous_headings":"","what":"Using Custom Guidelines","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"Custom guidelines can set custom_mdro_guideline() function. great importance custom rules determine MDROs hospital, e.g., rules dependent ward, state contact isolation variables data. familiar case_when() function dplyr package, recognise input method set rules. Rules must set using R considers 'formula notation'. rule written tilde (~) consequence rule written tilde:   row/isolate matches first rule, value first ~ (case 'Elderly Type ') set MDRO value. Otherwise, second rule tried . number rules unlimited. can print rules set console overview. Colours help reading console supports colours.   outcome function can used guideline argument mdro() function:   Rules can also combined custom rules using c():   rules set (custom object case) exported shared file location using saveRDS() collaborate multiple users. custom rules set imported using readRDS().","code":"custom <- custom_mdro_guideline(CIP == \"R\" & age > 60 ~ \"Elderly Type A\",                                 ERY == \"R\" & age > 60 ~ \"Elderly Type B\") custom #> A set of custom MDRO rules: #>   1. CIP is \"R\" and age is higher than 60 -> Elderly Type A #>   2. ERY is \"R\" and age is higher than 60 -> Elderly Type B #>   3. Otherwise -> Negative #> #> Unmatched rows will return NA. x <- mdro(example_isolates,           guideline = custom) table(x) #>       Negative Elderly Type A Elderly Type B #>           1070            198            732 x <- mdro(example_isolates,           guideline = c(custom,                         custom_mdro_guideline(ERY == \"R\" & age > 50 ~ \"Elderly Type C\"))) table(x) #>       Negative Elderly Type A Elderly Type B Elderly Type C #>            961            198            732            109"},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"antibiotics","dir":"Reference","previous_headings":"","what":"Antibiotics","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"define antibiotics column names, leave determine automatically guess_ab_col() input text (case-insensitive), use NULL skip column (e.g. TIC = NULL skip ticarcillin). Manually defined non-existing columns skipped warning. following antibiotics eligible functions eucast_rules() mdro(). shown format 'name (antimicrobial ID, ATC code)', sorted alphabetically: Amikacin (AMK, J01GB06), amoxicillin (AMX, J01CA04), amoxicillin/clavulanic acid (AMC, J01CR02), ampicillin (AMP, J01CA01), ampicillin/sulbactam (SAM, J01CR01), apramycin (APR, QA07AA92), arbekacin (ARB, J01GB12), aspoxicillin (APX, J01CA19), azidocillin (AZD, J01CE04), azithromycin (AZM, J01FA10), azlocillin (AZL, J01CA09), aztreonam (ATM, J01DF01), bacampicillin (BAM, J01CA06), bekanamycin (BEK, J01GB13), benzathine benzylpenicillin (BNB, J01CE08), benzathine phenoxymethylpenicillin (BNP, J01CE10), benzylpenicillin (PEN, J01CE01), besifloxacin (BES, S01AE08), biapenem (BIA, J01DH05), carbenicillin (CRB, J01CA03), carindacillin (CRN, J01CA05), cefacetrile (CAC, J01DB10), cefaclor (CEC, J01DC04), cefadroxil (CFR, J01DB05), cefalexin (LEX, J01DB01), cefaloridine (RID, J01DB02), cefalotin (CEP, J01DB03), cefamandole (MAN, J01DC03), cefapirin (HAP, J01DB08), cefatrizine (CTZ, J01DB07), cefazedone (CZD, J01DB06), cefazolin (CZO, J01DB04), cefcapene (CCP, J01DD17), cefdinir (CDR, J01DD15), cefditoren (DIT, J01DD16), cefepime (FEP, J01DE01), cefetamet (CAT, J01DD10), cefixime (CFM, J01DD08), cefmenoxime (CMX, J01DD05), cefmetazole (CMZ, J01DC09), cefodizime (DIZ, J01DD09), cefonicid (CID, J01DC06), cefoperazone (CFP, J01DD12), cefoperazone/sulbactam (CSL, J01DD62), ceforanide (CND, J01DC11), cefotaxime (CTX, J01DD01), cefotaxime/clavulanic acid (CTC, J01DD51), cefotetan (CTT, J01DC05), cefotiam (CTF, J01DC07), cefovecin (FOV, QJ01DD91), cefoxitin (FOX, J01DC01), cefozopran (ZOP, J01DE03), cefpiramide (CPM, J01DD11), cefpirome (CPO, J01DE02), cefpodoxime (CPD, J01DD13), cefprozil (CPR, J01DC10), cefquinome (CEQ, QG51AA07), cefroxadine (CRD, J01DB11), cefsulodin (CFS, J01DD03), ceftaroline (CPT, J01DI02), ceftazidime (CAZ, J01DD02), ceftazidime/clavulanic acid (CCV, J01DD52), cefteram (CEM, J01DD18), ceftezole (CTL, J01DB12), ceftibuten (CTB, J01DD14), ceftiofur (TIO, QJ01DD90), ceftizoxime (CZX, J01DD07), ceftobiprole medocaril (CFM1, J01DI01), ceftolozane/tazobactam (CZT, J01DI54), ceftriaxone (CRO, J01DD04), ceftriaxone/beta-lactamase inhibitor (CEB, J01DD63), cefuroxime (CXM, J01DC02), cephradine (CED, J01DB09), chloramphenicol (CHL, J01BA01), ciprofloxacin (CIP, J01MA02), clarithromycin (CLR, J01FA09), clindamycin (CLI, J01FF01), clometocillin (CLM, J01CE07), cloxacillin (CLO, J01CF02), colistin (COL, J01XB01), cycloserine (CYC, J04AB01), dalbavancin (DAL, J01XA04), danofloxacin (DAN, QJ01MA92), daptomycin (DAP, J01XX09), delafloxacin (DFX, J01MA23), dibekacin (DKB, J01GB09), dicloxacillin (DIC, J01CF01), difloxacin (DIF, QJ01MA94), dirithromycin (DIR, J01FA13), doripenem (DOR, J01DH04), doxycycline (DOX, J01AA02), enoxacin (ENX, J01MA04), enrofloxacin (ENR, QJ01MA90), epicillin (EPC, J01CA07), ertapenem (ETP, J01DH03), erythromycin (ERY, J01FA01), fleroxacin (FLE, J01MA08), flucloxacillin (FLC, J01CF05), flurithromycin (FLR1, J01FA14), fosfomycin (FOS, J01XX01), framycetin (FRM, D09AA01), fusidic acid (FUS, J01XC01), gamithromycin (GAM, QJ01FA95), garenoxacin (GRN, J01MA19), gatifloxacin (GAT, J01MA16), gemifloxacin (GEM, J01MA15), gentamicin (GEN, J01GB03), grepafloxacin (GRX, J01MA11), hetacillin (HET, J01CA18), imipenem (IPM, J01DH51), imipenem/relebactam (IMR, J01DH56), isepamicin (ISE, J01GB11), josamycin (JOS, J01FA07), kanamycin (KAN, J01GB04), kitasamycin (KIT, QJ01FA93), lascufloxacin (LSC, J01MA25), latamoxef (LTM, J01DD06), levofloxacin (LVX, J01MA12), levonadifloxacin (LND, J01MA24), lincomycin (LIN, J01FF02), linezolid (LNZ, J01XX08), lomefloxacin (LOM, J01MA07), loracarbef (LOR, J01DC08), marbofloxacin (MAR, QJ01MA93), mecillinam (MEC, J01CA11), meropenem (MEM, J01DH02), meropenem/vaborbactam (MEV, J01DH52), metampicillin (MTM, J01CA14), meticillin (MET, J01CF03), mezlocillin (MEZ, J01CA10), micronomicin (MCR, S01AA22), midecamycin (MID, J01FA03), minocycline (MNO, J01AA08), miocamycin (MCM, J01FA11), moxifloxacin (MFX, J01MA14), nadifloxacin (NAD, D10AF05), nafcillin (NAF, J01CF06), nalidixic acid (NAL, J01MB02), neomycin (NEO, J01GB05), netilmicin (NET, J01GB07), nitrofurantoin (NIT, J01XE01), norfloxacin (, J01MA06), novobiocin (NOV, QJ01XX95), ofloxacin (OFX, J01MA01), oleandomycin (OLE, J01FA05), orbifloxacin (ORB, QJ01MA95), oritavancin (ORI, J01XA05), oxacillin (OXA, J01CF04), panipenem (PAN, J01DH55), pazufloxacin (PAZ, J01MA18), pefloxacin (PEF, J01MA03), penamecillin (PNM, J01CE06), pheneticillin (PHE, J01CE05), phenoxymethylpenicillin (PHN, J01CE02), piperacillin (PIP, J01CA12), piperacillin/tazobactam (TZP, J01CR05), pirlimycin (PRL, QJ51FF90), pivampicillin (PVM, J01CA02), pivmecillinam (PME, J01CA08), plazomicin (PLZ, J01GB14), polymyxin B (PLB, J01XB02), pradofloxacin (PRA, QJ01MA97), pristinamycin (PRI, J01FG01), procaine benzylpenicillin (PRB, J01CE09), propicillin (PRP, J01CE03), prulifloxacin (PRU, J01MA17), quinupristin/dalfopristin (QDA, QJ01FG02), ribostamycin (RST, J01GB10), rifampicin (RIF, J04AB02), rokitamycin (ROK, J01FA12), roxithromycin (RXT, J01FA06), rufloxacin (RFL, J01MA10), sarafloxacin (SAR, QJ01MA98), sisomicin (SIS, J01GB08), sitafloxacin (SIT, J01MA21), solithromycin (SOL, J01FA16), sparfloxacin (SPX, J01MA09), spiramycin (SPI, J01FA02), streptoduocin (STR, J01GA02), streptomycin (STR1, J01GA01), sulbactam (SUL, J01CG01), sulbenicillin (SBC, J01CA16), sulfadiazine (SDI, J01EC02), sulfadiazine/trimethoprim (SLT1, J01EE02), sulfadimethoxine (SUD, J01ED01), sulfadimidine (SDM, J01EB03), sulfadimidine/trimethoprim (SLT2, J01EE05), sulfafurazole (SLF, J01EB05), sulfaisodimidine (SLF1, J01EB01), sulfalene (SLF2, J01ED02), sulfamazone (SZO, J01ED09), sulfamerazine (SLF3, J01ED07), sulfamerazine/trimethoprim (SLT3, J01EE07), sulfamethizole (SLF4, J01EB02), sulfamethoxazole (SMX, J01EC01), sulfamethoxypyridazine (SLF5, J01ED05), sulfametomidine (SLF6, J01ED03), sulfametoxydiazine (SLF7, J01ED04), sulfametrole/trimethoprim (SLT4, J01EE03), sulfamoxole (SLF8, J01EC03), sulfamoxole/trimethoprim (SLT5, J01EE04), sulfanilamide (SLF9, J01EB06), sulfaperin (SLF10, J01ED06), sulfaphenazole (SLF11, J01ED08), sulfapyridine (SLF12, J01EB04), sulfathiazole (SUT, J01EB07), sulfathiourea (SLF13, J01EB08), sultamicillin (SLT6, J01CR04), talampicillin (TAL, J01CA15), tazobactam (TAZ, J01CG02), tebipenem (TBP, J01DH06), tedizolid (TZD, J01XX11), teicoplanin (TEC, J01XA02), telavancin (TLV, J01XA03), telithromycin (TLT, J01FA15), temafloxacin (TMX, J01MA05), temocillin (TEM, J01CA17), tetracycline (TCY, J01AA07), ticarcillin (TIC, J01CA13), ticarcillin/clavulanic acid (TCC, J01CR03), tigecycline (TGC, J01AA12), tilbroquinol (TBQ, P01AA05), tildipirosin (TIP, QJ01FA96), tilmicosin (TIL, QJ01FA91), tobramycin (TOB, J01GB01), tosufloxacin (TFX, J01MA22), trimethoprim (TMP, J01EA01), trimethoprim/sulfamethoxazole (SXT, J01EE01), troleandomycin (TRL, J01FA08), trovafloxacin (TVA, J01MA13), tulathromycin (TUL, QJ01FA94), tylosin (TYL, QJ01FA90), tylvalosin (TYL1, QJ01FA92), vancomycin (VAN, J01XA01)","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"interpretation-of-sir","dir":"Reference","previous_headings":"","what":"Interpretation of SIR","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"2019, European Committee Antimicrobial Susceptibility Testing (EUCAST) decided change definitions susceptibility testing categories S, , R shown (https://www.eucast.org/newsiandr): S - Susceptible, standard dosing regimen microorganism categorised \"Susceptible, standard dosing regimen\", high likelihood therapeutic success using standard dosing regimen agent. - Susceptible, increased exposure  microorganism categorised \"Susceptible, Increased exposure\" high likelihood therapeutic success exposure agent increased adjusting dosing regimen concentration site infection. R = Resistant microorganism categorised \"Resistant\" high likelihood therapeutic failure even increased exposure. Exposure function mode administration, dose, dosing interval, infusion time, well distribution excretion antimicrobial agent influence infecting organism site infection. AMR package honours insight. Use susceptibility() (equal proportion_SI()) determine antimicrobial susceptibility count_susceptible() (equal count_SI()) count susceptible isolates.","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"","code":"out <- mdro(example_isolates, guideline = \"EUCAST\") str(out) #>  Ord.factor w/ 3 levels \"Negative\"<\"Positive, unconfirmed\"<..: 1 1 1 1 1 1 1 1 1 1 ... table(out) #> out #>              Negative Positive, unconfirmed              Positive  #>                  1978                     0                     6   out <- mdro(example_isolates,   guideline = custom_mdro_guideline(     AMX == \"R\" ~ \"Custom MDRO 1\",     VAN == \"R\" ~ \"Custom MDRO 2\"   ) ) table(out) #> out #>      Negative Custom MDRO 1 Custom MDRO 2  #>           870           804           326   # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     mdro() %>%     table()    # no need to define `x` when used inside dplyr verbs:   example_isolates %>%     mutate(MDRO = mdro()) %>%     pull(MDRO) %>%     table() } #> Warning: in mdro(): NA introduced for isolates where the available percentage of #> antimicrobial classes was below 50% (set with pct_required_classes) #> Warning: There was 1 warning in `mutate()`. #> ℹ In argument: `MDRO = mdro()`. #> Caused by warning: #> ! in mdro(): NA introduced for isolates where the available percentage of #> antimicrobial classes was below 50% (set with pct_required_classes) #> . #>                         Negative       Multi-drug-resistant (MDR)  #>                             1601                              128  #> Extensively drug-resistant (XDR)          Pandrug-resistant (PDR)  #>                                0                                0  # }"},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the Mean AMR Distance — mean_amr_distance","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"Calculates normalised mean antimicrobial resistance multiple observations, help identify similar isolates without comparing antibiograms hand.","code":""},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"","code":"mean_amr_distance(x, ...)  # S3 method for sir mean_amr_distance(x, ..., combine_SI = TRUE)  # S3 method for data.frame mean_amr_distance(x, ..., combine_SI = TRUE)  amr_distance_from_row(amr_distance, row)"},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"x vector class sir, mic disk, data.frame containing columns classes ... variables select (supports tidyselect language column1:column4 (.mic), can thus also antibiotic selectors combine_SI logical indicate whether values S must merged one, input consists S+vs. R (susceptible vs. resistant) - default TRUE amr_distance outcome mean_amr_distance() row index, row number","code":""},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"mean AMR distance effectively Z-score; normalised numeric value compare AMR test results can help identify similar isolates, without comparing antibiograms hand. MIC values (see .mic()) transformed log2() first; distance thus calculated (log2(x) - mean(log2(x))) / sd(log2(x)). SIR values (see .sir()) transformed using \"S\" = 1, \"\" = 2, \"R\" = 3. combine_SI TRUE (default), \"\" considered 1. data sets, mean AMR distance calculated per column, mean per row returned, see Examples. Use amr_distance_from_row() subtract distances distance one row, see Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":"interpretation","dir":"Reference","previous_headings":"","what":"Interpretation","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"Isolates distances less 0.01 difference considered similar. Differences lower 0.025 considered suspicious.","code":""},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"","code":"sir <- random_sir(10) sir #> Class 'sir' #>  [1] R R S I I S I I R I mean_amr_distance(sir) #>  [1]  1.449138  1.449138 -0.621059 -0.621059 -0.621059 -0.621059 -0.621059 #>  [8] -0.621059  1.449138 -0.621059  mic <- random_mic(10) mic #> Class 'mic' #>  [1] 0.002 0.5   0.125 128   0.25  0.5   256   0.125 0.125 64    mean_amr_distance(mic) #>  [1] -1.6429088 -0.1673475 -0.5378223  1.3145519 -0.3525849 -0.1673475 #>  [7]  1.4997893 -0.5378223 -0.5378223  1.1293145 # equal to the Z-score of their log2: (log2(mic) - mean(log2(mic))) / sd(log2(mic)) #>  [1] -1.6429088 -0.1673475 -0.5378223  1.3145519 -0.3525849 -0.1673475 #>  [7]  1.4997893 -0.5378223 -0.5378223  1.1293145  disk <- random_disk(10) disk #> Class 'disk' #>  [1] 40 45 43 14 42 40 37 15 42 11 mean_amr_distance(disk) #>  [1]  0.5182957  0.8832927  0.7372939 -1.3796886  0.6642945  0.5182957 #>  [7]  0.2992975 -1.3066892  0.6642945 -1.5986868  y <- data.frame(   id = LETTERS[1:10],   amox = random_sir(10, ab = \"amox\", mo = \"Escherichia coli\"),   cipr = random_disk(10, ab = \"cipr\", mo = \"Escherichia coli\"),   gent = random_mic(10, ab = \"gent\", mo = \"Escherichia coli\"),   tobr = random_mic(10, ab = \"tobr\", mo = \"Escherichia coli\") ) y #>    id amox cipr  gent  tobr #> 1   A    R   17 <=0.5   >=8 #> 2   B    I   26 <=0.5     4 #> 3   C    R   18     4   >=8 #> 4   D    R   22 <=0.5 <=0.5 #> 5   E    I   30 <=0.5     1 #> 6   F    S   18     4     2 #> 7   G    I   26     8     2 #> 8   H    S   29     8     1 #> 9   I    I   22    16     1 #> 10  J    S   31     1     4 mean_amr_distance(y) #> ℹ Calculating mean AMR distance based on columns \"amox\", \"cipr\", \"gent\", #>   and \"tobr\" #>  [1]  0.12957466 -0.14083442  0.55230568 -0.36152662 -0.31478853 -0.33012168 #>  [7]  0.17672648  0.13748045 -0.07163669  0.22282068 y$amr_distance <- mean_amr_distance(y, where(is.mic)) #> Error in .subset(x, j): invalid subscript type 'list' y[order(y$amr_distance), ] #> Error in order(y$amr_distance): argument 1 is not a vector  if (require(\"dplyr\")) {   y %>%     mutate(       amr_distance = mean_amr_distance(y),       check_id_C = amr_distance_from_row(amr_distance, id == \"C\")     ) %>%     arrange(check_id_C) } #> ℹ Calculating mean AMR distance based on columns \"amox\", \"cipr\", \"gent\", #>   and \"tobr\" #>    id amox cipr  gent  tobr amr_distance check_id_C #> 1   C    R   18     4   >=8   0.55230568  0.0000000 #> 2   J    S   31     1     4   0.22282068  0.3294850 #> 3   G    I   26     8     2   0.17672648  0.3755792 #> 4   H    S   29     8     1   0.13748045  0.4148252 #> 5   A    R   17 <=0.5   >=8   0.12957466  0.4227310 #> 6   I    I   22    16     1  -0.07163669  0.6239424 #> 7   B    I   26 <=0.5     4  -0.14083442  0.6931401 #> 8   E    I   30 <=0.5     1  -0.31478853  0.8670942 #> 9   F    S   18     4     2  -0.33012168  0.8824274 #> 10  D    R   22 <=0.5 <=0.5  -0.36152662  0.9138323 if (require(\"dplyr\")) {   # support for groups   example_isolates %>%     filter(mo_genus() == \"Enterococcus\" & mo_species() != \"\") %>%     select(mo, TCY, carbapenems()) %>%     group_by(mo) %>%     mutate(dist = mean_amr_distance(.)) %>%     arrange(mo, dist) } #> ℹ Using column 'mo' as input for mo_genus() #> ℹ Using column 'mo' as input for mo_species() #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ Calculating mean AMR distance based on columns \"TCY\", \"IPM\", and \"MEM\" #> # A tibble: 63 × 5 #> # Groups:   mo [4] #>    mo           TCY   IPM   MEM     dist #>    <mo>         <sir> <sir> <sir>  <dbl> #>  1 B_ENTRC_AVIM S     S     NA     0     #>  2 B_ENTRC_AVIM S     S     NA     0     #>  3 B_ENTRC_CSSL NA    S     NA    NA     #>  4 B_ENTRC_FACM S     S     NA    -2.66  #>  5 B_ENTRC_FACM S     R     R     -0.423 #>  6 B_ENTRC_FACM S     R     R     -0.423 #>  7 B_ENTRC_FACM NA    R     R      0.224 #>  8 B_ENTRC_FACM NA    R     R      0.224 #>  9 B_ENTRC_FACM NA    R     R      0.224 #> 10 B_ENTRC_FACM NA    R     R      0.224 #> # ℹ 53 more rows"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.codes.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","title":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","text":"data set containing commonly used codes microorganisms, laboratory systems WHONET. Define set_mo_source(). searched using .mo() consequently mo_* functions.","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.codes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","text":"","code":"microorganisms.codes"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.codes.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","text":"tibble 4 957 observations 2 variables: code Commonly used code microorganism. unique identifier. mo ID microorganism microorganisms data set","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.codes.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/microorganisms.codes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","text":"","code":"microorganisms.codes #> # A tibble: 4,957 × 2 #>    code  mo                #>    <chr> <mo>              #>  1 1011  B_GRAMP           #>  2 1012  B_GRAMP           #>  3 1013  B_GRAMN           #>  4 1014  B_GRAMN           #>  5 1015  F_YEAST           #>  6 103   B_ESCHR_COLI      #>  7 104   B_SLMNL_ENTR_ENTR #>  8 1100  B_STRPT           #>  9 1101  B_STRPT_VIRI      #> 10 1102  B_STRPT_HAEM      #> # ℹ 4,947 more rows  # 'ECO' or 'eco' is the WHONET code for E. coli: microorganisms.codes[microorganisms.codes$code == \"ECO\", ] #> # A tibble: 1 × 2 #>   code  mo           #>   <chr> <mo>         #> 1 ECO   B_ESCHR_COLI  # and therefore, 'eco' will be understood as E. coli in this package: mo_info(\"eco\") #> $mo #> [1] \"B_ESCHR_COLI\" #>  #> $kingdom #> [1] \"Bacteria\" #>  #> $phylum #> [1] \"Pseudomonadota\" #>  #> $class #> [1] \"Gammaproteobacteria\" #>  #> $order #> [1] \"Enterobacterales\" #>  #> $family #> [1] \"Enterobacteriaceae\" #>  #> $genus #> [1] \"Escherichia\" #>  #> $species #> [1] \"coli\" #>  #> $subspecies #> [1] \"\" #>  #> $status #> [1] \"accepted\" #>  #> $synonyms #> NULL #>  #> $gramstain #> [1] \"Gram-negative\" #>  #> $oxygen_tolerance #> [1] \"facultative anaerobe\" #>  #> $url #> [1] \"https://lpsn.dsmz.de/species/escherichia-coli\" #>  #> $ref #> [1] \"Castellani et al., 1919\" #>  #> $snomed #>  [1] \"1095001000112106\" \"715307006\"        \"737528008\"        \"416989002\"        #>  [5] \"116397003\"        \"414097009\"        \"414098004\"        \"414099007\"        #>  [9] \"414100004\"        \"116395006\"        \"735270003\"        \"116396007\"        #> [13] \"83285000\"         \"116394005\"        \"112283007\"        \"710886005\"        #> [17] \"710887001\"        \"710888006\"        \"710889003\"        \"414132004\"        #> [21] \"721892009\"        \"416812001\"        \"416740004\"        \"417216001\"        #> [25] \"457541006\"        \"710253004\"        \"416530004\"        \"417189006\"        #> [29] \"409800005\"        \"713925008\"        \"444771000124108\"  \"838549008\"        #>  #> $lpsn #> [1] \"776057\" #>  #> $gbif #> [1] \"11286021\" #>   # works for all AMR functions: mo_is_intrinsic_resistant(\"eco\", ab = \"vancomycin\") #> [1] TRUE"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.groups.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","title":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","text":"data set containing species groups microbiological complexes, used clinical breakpoints table.","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.groups.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","text":"","code":"microorganisms.groups"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.groups.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","text":"tibble 521 observations 4 variables: mo_group ID species group / microbiological complex mo ID microorganism belonging species group / microbiological complex mo_group_name Name species group / microbiological complex, retrieved mo_name() mo_name Name microorganism belonging species group / microbiological complex, retrieved mo_name()","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.groups.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/microorganisms.groups.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","text":"","code":"microorganisms.groups #> # A tibble: 521 × 4 #>    mo_group       mo           mo_group_name                   mo_name           #>    <mo>           <mo>         <chr>                           <chr>             #>  1 B_ACNTB_BMNN-C B_ACNTB_BMNN Acinetobacter baumannii complex Acinetobacter ba… #>  2 B_ACNTB_BMNN-C B_ACNTB_CLCC Acinetobacter baumannii complex Acinetobacter ca… #>  3 B_ACNTB_BMNN-C B_ACNTB_DJKS Acinetobacter baumannii complex Acinetobacter di… #>  4 B_ACNTB_BMNN-C B_ACNTB_NSCM Acinetobacter baumannii complex Acinetobacter no… #>  5 B_ACNTB_BMNN-C B_ACNTB_PITT Acinetobacter baumannii complex Acinetobacter pi… #>  6 B_ACNTB_BMNN-C B_ACNTB_SFRT Acinetobacter baumannii complex Acinetobacter se… #>  7 B_BCTRD_FRGL-C B_BCTRD_FRGL Bacteroides fragilis complex    Bacteroides frag… #>  8 B_BCTRD_FRGL-C B_BCTRD_OVTS Bacteroides fragilis complex    Bacteroides ovat… #>  9 B_BCTRD_FRGL-C B_BCTRD_THTT Bacteroides fragilis complex    Bacteroides thet… #> 10 B_BCTRD_FRGL-C B_BCTRD_VLGT Bacteroides fragilis complex    Bacteroides vulg… #> # ℹ 511 more rows  # these are all species in the Bacteroides fragilis group, as per WHONET: microorganisms.groups[microorganisms.groups$mo_group == \"B_BCTRD_FRGL-C\", ] #> # A tibble: 5 × 4 #>   mo_group       mo           mo_group_name                mo_name               #>   <mo>           <mo>         <chr>                        <chr>                 #> 1 B_BCTRD_FRGL-C B_BCTRD_FRGL Bacteroides fragilis complex Bacteroides fragilis  #> 2 B_BCTRD_FRGL-C B_BCTRD_OVTS Bacteroides fragilis complex Bacteroides ovatus    #> 3 B_BCTRD_FRGL-C B_BCTRD_THTT Bacteroides fragilis complex Bacteroides thetaiot… #> 4 B_BCTRD_FRGL-C B_BCTRD_VLGT Bacteroides fragilis complex Bacteroides vulgatus  #> 5 B_BCTRD_FRGL-C B_PRBCT_DSTS Bacteroides fragilis complex Parabacteroides dist…"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with 52 171 Microorganisms — microorganisms","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"data set containing full microbial taxonomy (last updated: January 8th, 2024) five kingdoms List Prokaryotic names Standing Nomenclature (LPSN) Global Biodiversity Information Facility (GBIF). data set backbone AMR package. MO codes can looked using .mo().","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"","code":"microorganisms"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"tibble 52 171 observations 23 variables: mo ID microorganism used package. unique identifier. fullname Full name, like \"Escherichia coli\". taxonomic ranks genus, species subspecies, 'pasted' text genus, species, subspecies. taxonomic ranks higher genus, name taxon. unique identifier. status  Status taxon, either \"accepted\" \"synonym\" kingdom, phylum, class, order, family, genus, species, subspecies Taxonomic rank microorganism rank Text taxonomic rank microorganism, \"species\" \"genus\" ref Author(s) year related scientific publication. contains first surname year latest authors, e.g. \"Wallis et al. 2006 emend. Smith Jones 2018\" becomes \"Smith et al., 2018\". field directly retrieved source specified column source. Moreover, accents removed comply CRAN allows ASCII characters. lpsn Identifier ('Record number') List Prokaryotic names Standing Nomenclature (LPSN). first/highest LPSN identifier keep one identifier per row. example, Acetobacter ascendens LPSN Record number 7864 11011. first available microorganisms data set. oxygen_tolerance  Oxygen tolerance, either \"aerobe\", \"anaerobe\", \"anaerobe/microaerophile\", \"facultative anaerobe\", \"likely facultative anaerobe\", \"microaerophile\". data retrieved BacDive (see Source). Items contain \"likely\" missing BacDive extrapolated species within genus guess oxygen tolerance. Currently 73.4% ~37 000 bacteria data set contain oxygen tolerance. lpsn_parent LPSN identifier parent taxon lpsn_renamed_to LPSN identifier currently valid taxon gbif Identifier ('taxonID') Global Biodiversity Information Facility (GBIF) gbif_parent GBIF identifier parent taxon gbif_renamed_to GBIF identifier currently valid taxon source Either \"GBIF\", \"LPSN\", \"manually added\" (see Source) prevalence Prevalence microorganism based Bartlett et al. (2022, doi:10.1099/mic.0.001269 ), see mo_matching_score() full explanation snomed Systematized Nomenclature Medicine (SNOMED) code microorganism, version July 1st, 2021 (see Source). Use mo_snomed() retrieve quickly, see mo_property().","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"Parte, AC et al. (2020). List Prokaryotic names Standing Nomenclature (LPSN) moves DSMZ. International Journal Systematic Evolutionary Microbiology, 70, 5607-5612; doi:10.1099/ijsem.0.004332 . Accessed https://lpsn.dsmz.de December 11th, 2022. GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset doi:10.15468/39omei . Accessed https://www.gbif.org January 8th, 2024. Reimer, LC et al. (2022). BacDive 2022: knowledge base standardized bacterial archaeal data. Nucleic Acids Res., 50(D1):D741-D74; doi:10.1093/nar/gkab961 . Accessed https://bacdive.dsmz.de May 12th, 2023. Public Health Information Network Vocabulary Access Distribution System (PHIN VADS). US Edition SNOMED CT 1 September 2020. Value Set Name 'Microorganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: https://phinvads.cdc.gov Grimont et al. (2007). Antigenic Formulae Salmonella Serovars, 9th Edition. Collaborating Centre Reference Research Salmonella (WHOCC-SALM). Bartlett et al. (2022). comprehensive list bacterial pathogens infecting humans Microbiology 168:001269; doi:10.1099/mic.0.001269","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"Please note entries based List Prokaryotic names Standing Nomenclature (LPSN) Global Biodiversity Information Facility (GBIF) (see ). Since sources incorporate entries based (recent) publications International Journal Systematic Evolutionary Microbiology (IJSEM), can happen year publication sometimes later one might expect. example, Staphylococcus pettenkoferi described first time Diagnostic Microbiology Infectious Disease 2002 (doi:10.1016/s0732-8893(02)00399-1 ), 2007 publication IJSEM followed (doi:10.1099/ijs.0.64381-0 ). Consequently, AMR package returns 2007 mo_year(\"S. pettenkoferi\").","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"included-taxa","dir":"Reference","previous_headings":"","what":"Included Taxa","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"Included taxonomic data : ~37 000 (sub)species kingdoms Archaea Bacteria ~7 900 (sub)species kingdom Fungi. kingdom Fungi large taxon almost 300,000 different (sub)species, microbial (rather macroscopic, like mushrooms). , fungi fit scope package. relevant fungi covered (species Aspergillus, Candida, Cryptococcus, Histoplasma, Pneumocystis, Saccharomyces Trichophyton). ~5 100 (sub)species kingdom Protozoa ~1 400 (sub)species 43 relevant genera kingdom Animalia (Strongyloides Taenia) ~9 800 previously accepted names included (sub)species (taxonomically renamed) complete taxonomic tree included (sub)species: kingdom subspecies identifier parent taxons year first author related scientific publication","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"manual-additions","dir":"Reference","previous_headings":"","what":"Manual additions","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"convenience, entries added manually: ~1 500 entries Salmonella, city-like serovars groups H 36 species groups (beta-haemolytic Streptococcus groups K, coagulase-negative Staphylococcus (CoNS), Mycobacterium tuberculosis complex, etc.), group compositions stored microorganisms.groups data set 1 entry Blastocystis (B.  hominis), although officially exist (Noel et al. 2005, PMID 15634993) 1 entry Moraxella (M. catarrhalis), formally named Branhamella catarrhalis (Catlin, 1970) though change never accepted within field clinical microbiology 8 'undefined' entries (unknown, unknown Gram-negatives, unknown Gram-positives, unknown yeast, unknown fungus, unknown anaerobic Gram-pos/Gram-neg bacteria) syntax used transform original data cleansed R format, can found : https://github.com/msberends/AMR/blob/main/data-raw/reproduction_of_microorganisms.R.","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"direct-download","dir":"Reference","previous_headings":"","what":"Direct download","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"about-the-records-from-lpsn-see-source-","dir":"Reference","previous_headings":"","what":"About the Records from LPSN (see Source)","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"LPSN main source bacteriological taxonomy AMR package. List Prokaryotic names Standing Nomenclature (LPSN) provides comprehensive information nomenclature prokaryotes. LPSN free use service founded Jean P. Euzeby 1997 later maintained Aidan C. Parte.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"","code":"microorganisms #> # A tibble: 52,171 × 23 #>    mo               fullname      status kingdom phylum class order family genus #>    <mo>             <chr>         <chr>  <chr>   <chr>  <chr> <chr> <chr>  <chr> #>  1 B_GRAMN          (unknown Gra… accep… Bacter… (unkn… (unk… (unk… \"(unk… \"(un… #>  2 B_GRAMP          (unknown Gra… accep… Bacter… (unkn… (unk… (unk… \"(unk… \"(un… #>  3 B_ANAER-NEG      (unknown ana… accep… Bacter… (unkn… (unk… (unk… \"(unk… \"(un… #>  4 B_ANAER-POS      (unknown ana… accep… Bacter… (unkn… (unk… (unk… \"(unk… \"(un… #>  5 B_ANAER          (unknown ana… accep… Bacter… (unkn… (unk… (unk… \"(unk… \"(un… #>  6 F_FUNGUS         (unknown fun… accep… Fungi   (unkn… (unk… (unk… \"(unk… \"(un… #>  7   UNKNOWN        (unknown nam… accep… (unkno… (unkn… (unk… (unk… \"(unk… \"(un… #>  8 F_YEAST          (unknown yea… accep… Fungi   (unkn… (unk… (unk… \"(unk… \"(un… #>  9 B_[FAM]_ABDTBCTR Abditibacter… accep… Bacter… Abdit… Abdi… Abdi… \"Abdi… \"\"    #> 10 B_[ORD]_ABDTBCTR Abditibacter… accep… Bacter… Abdit… Abdi… Abdi… \"\"     \"\"    #> # ℹ 52,161 more rows #> # ℹ 14 more variables: species <chr>, subspecies <chr>, rank <chr>, ref <chr>, #> #   oxygen_tolerance <chr>, source <chr>, lpsn <chr>, lpsn_parent <chr>, #> #   lpsn_renamed_to <chr>, gbif <chr>, gbif_parent <chr>, #> #   gbif_renamed_to <chr>, prevalence <dbl>, snomed <list>"},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the Matching Score for Microorganisms — mo_matching_score","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"algorithm used .mo() mo_* functions determine probable match taxonomic records based user input.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"","code":"mo_matching_score(x, n)"},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"x user input value(s) n full taxonomic name, exists microorganisms$fullname","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"algorithm originally described : Berends MS et al. (2022). AMR: R Package Working Antimicrobial Resistance Data. Journal Statistical Software, 104(3), 1-31; doi:10.18637/jss.v104.i03 . Later, work Bartlett et al. bacterial pathogens infecting humans (2022, doi:10.1099/mic.0.001269 ) incorporated.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"matching-score-for-microorganisms","dir":"Reference","previous_headings":"","what":"Matching Score for Microorganisms","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"ambiguous user input .mo() mo_* functions, returned results chosen based matching score using mo_matching_score(). matching score \\(m\\), calculated :  : \\(x\\) user input; \\(n\\) taxonomic name (genus, species, subspecies); \\(l_n\\) length \\(n\\); \\(lev\\) Levenshtein distance function (counting insertion 1, deletion substitution 2) needed change \\(x\\) \\(n\\); \\(p_n\\) human pathogenic prevalence group \\(n\\), described ; \\(k_n\\) taxonomic kingdom \\(n\\), set Bacteria = 1, Fungi = 1.25, Protozoa = 1.5, Archaea = 2, others = 3. grouping human pathogenic prevalence \\(p\\) based recent work Bartlett et al. (2022, doi:10.1099/mic.0.001269 ) extensively studied medical-scientific literature categorise bacterial species groups: Established, taxonomic species infected least three persons three references. records prevalence = 1.0 microorganisms data set; Putative, taxonomic species fewer three known cases. records prevalence = 1.25 microorganisms data set. Furthermore, genus present established list also prevalence = 1.0 microorganisms data set; genus present putative list prevalence = 1.25 microorganisms data set; species subspecies genus present two aforementioned groups, prevalence = 1.5 microorganisms data set; non-bacterial genus, species subspecies genus present following list, prevalence = 1.25 microorganisms data set: Absidia, Acanthamoeba, Acremonium, Aedes, Alternaria, Amoeba, Ancylostoma, Angiostrongylus, Anisakis, Anopheles, Apophysomyces, Arthroderma, Aspergillus, Aureobasidium, Basidiobolus, Beauveria, Blastocystis, Blastomyces, Candida, Capillaria, Chaetomium, Chrysonilia, Chrysosporium, Cladophialophora, Cladosporium, Conidiobolus, Contracaecum, Cordylobia, Cryptococcus, Curvularia, Demodex, Dermatobia, Dientamoeba, Diphyllobothrium, Dirofilaria, Echinostoma, Entamoeba, Enterobius, Exophiala, Exserohilum, Fasciola, Fonsecaea, Fusarium, Geotrichum, Giardia, Haloarcula, Halobacterium, Halococcus, Hendersonula, Heterophyes, Histomonas, Histoplasma, Hymenolepis, Hypomyces, Hysterothylacium, Kloeckera, Kodamaea, Leishmania, Lichtheimia, Lodderomyces, Malassezia, Malbranchea, Metagonimus, Meyerozyma, Microsporidium, Microsporum, Millerozyma, Mortierella, Mucor, Mycocentrospora, Necator, Nectria, Ochroconis, Oesophagostomum, Oidiodendron, Opisthorchis, Paecilomyces, Pediculus, Penicillium, Phlebotomus, Phoma, Pichia, Piedraia, Pithomyces, Pityrosporum, Pneumocystis, Pseudallescheria, Pseudoterranova, Pulex, Rhizomucor, Rhizopus, Rhodotorula, Saccharomyces, Saprochaete, Sarcoptes, Scedosporium, Scolecobasidium, Scopulariopsis, Scytalidium, Spirometra, Sporobolomyces, Sporotrichum, Stachybotrys, Strongyloides, Syngamus, Taenia, Talaromyces, Toxocara, Trichinella, Trichobilharzia, Trichoderma, Trichomonas, Trichophyton, Trichosporon, Trichostrongylus, Trichuris, Tritirachium, Trombicula, Trypanosoma, Tunga, Verticillium, Wuchereria; records prevalence = 2.0 microorganisms data set. calculating matching score, characters \\(x\\) \\(n\\) ignored -Z, -z, 0-9, spaces parentheses. matches sorted descending matching score user input values, top match returned. lead effect e.g., \"E. coli\" return microbial ID Escherichia coli (\\(m = 0.688\\), highly prevalent microorganism found humans) Entamoeba coli (\\(m = 0.381\\), less prevalent microorganism humans), although latter alphabetically come first.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"Dr. Matthijs Berends, 2018","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"","code":"mo_reset_session() #> ℹ Reset 17 previously matched input values.  as.mo(\"E. coli\") #> Class 'mo' #> [1] B_ESCHR_COLI mo_uncertainties() #> Matching scores are based on the resemblance between the input and the full #> taxonomic name, and the pathogenicity in humans. See ?mo_matching_score. #>  #> -------------------------------------------------------------------------------- #> \"E. coli\" -> Escherichia coli (B_ESCHR_COLI, 0.688) #> Also matched: Enterobacter cowanii (0.600), Eubacterium combesii #>               (0.600), Eggerthia catenaformis (0.591), Eubacterium callanderi #>               (0.591), Enterocloster citroniae (0.587), Eubacterium cylindroides #>               (0.583), Enterococcus casseliflavus (0.577), Enterobacter cloacae #>               cloacae (0.571), Enterobacter cloacae complex (0.571), and Ehrlichia #>               canis (0.567) #>  #> Only the first 10 other matches of each record are shown. Run #> print(mo_uncertainties(), n = ...) to view more entries, or save #> mo_uncertainties() to an object.  mo_matching_score(   x = \"E. coli\",   n = c(\"Escherichia coli\", \"Entamoeba coli\") ) #> [1] 0.6875000 0.3809524"},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Properties of a Microorganism — mo_property","title":"Get Properties of a Microorganism — mo_property","text":"Use functions return specific property microorganism based latest accepted taxonomy. input values evaluated internally .mo(), makes possible use microbial abbreviations, codes names input. See Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Properties of a Microorganism — mo_property","text":"","code":"mo_name(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_fullname(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_shortname(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_subspecies(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_species(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_genus(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_family(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_order(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_class(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_phylum(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_kingdom(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_domain(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_type(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_status(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_pathogenicity(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_gramstain(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_is_gram_negative(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_is_gram_positive(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_is_yeast(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_is_intrinsic_resistant(   x,   ab,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_oxygen_tolerance(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_is_anaerobic(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_snomed(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_ref(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_authors(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_year(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_lpsn(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_gbif(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_rank(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_taxonomy(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_synonyms(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_current(x, language = get_AMR_locale(), ...)  mo_info(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_url(   x,   open = FALSE,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_property(   x,   property = \"fullname\",   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )"},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Properties of a Microorganism — mo_property","text":"x character (vector) can coerced valid microorganism code .mo(). Can left blank auto-guessing column containing microorganism codes used data set, see Examples. language language translate text like \"growth\", defaults system language (see get_AMR_locale()) keep_synonyms logical indicate old, previously valid taxonomic names must preserved corrected currently accepted names. default FALSE, return note old taxonomic names processed. default can set package option AMR_keep_synonyms, .e. options(AMR_keep_synonyms = TRUE) options(AMR_keep_synonyms = FALSE). ... arguments passed .mo(), 'minimum_matching_score', 'ignore_pattern', 'remove_from_input' ab (vector ) text can coerced valid antibiotic drug code .ab() open browse URL using browseURL() property one column names microorganisms data set: \"mo\", \"fullname\", \"status\", \"kingdom\", \"phylum\", \"class\", \"order\", \"family\", \"genus\", \"species\", \"subspecies\", \"rank\", \"ref\", \"oxygen_tolerance\", \"source\", \"lpsn\", \"lpsn_parent\", \"lpsn_renamed_to\", \"gbif\", \"gbif_parent\", \"gbif_renamed_to\", \"prevalence\", \"snomed\", must \"shortname\"","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Properties of a Microorganism — mo_property","text":"integer case mo_year() ordered factor case mo_pathogenicity() list case mo_taxonomy(), mo_synonyms(), mo_snomed() mo_info() named character case mo_url() character cases","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get Properties of a Microorganism — mo_property","text":"functions , default, keep old taxonomic properties, synonyms automatically replaced current taxonomy. Take example Enterobacter aerogenes, initially named 1960 renamed Klebsiella aerogenes 2017: mo_genus(\"Enterobacter aerogenes\") return \"Klebsiella\" (note renaming) mo_genus(\"Enterobacter aerogenes\", keep_synonyms = TRUE) return \"Enterobacter\" (-per-session warning name outdated) mo_ref(\"Enterobacter aerogenes\") return \"Tindall et al., 2017\" (note) mo_ref(\"Enterobacter aerogenes\", keep_synonyms = TRUE) return \"Hormaeche et al., 1960\" (warning) short name (mo_shortname()) returns first character genus full species, \"E. coli\", species subspecies. Exceptions abbreviations staphylococci (\"CoNS\", Coagulase-Negative Staphylococci) beta-haemolytic streptococci (\"GBS\", Group B Streptococci). Please bear mind e.g. E. coli mean Escherichia coli (kingdom Bacteria) well Entamoeba coli (kingdom Protozoa). Returning full name done using .mo() internally, giving priority bacteria human pathogens, .e. \"E. coli\" considered Escherichia coli. result, mo_fullname(mo_shortname(\"Entamoeba coli\")) returns \"Escherichia coli\". Since top-level taxonomy sometimes referred 'kingdom' sometimes 'domain', functions mo_kingdom() mo_domain() return exact results. Determination human pathogenicity (mo_pathogenicity()) strongly based Bartlett et al. (2022, doi:10.1099/mic.0.001269 ). function returns factor levels Pathogenic, Potentially pathogenic, Non-pathogenic, Unknown. Determination Gram stain (mo_gramstain()) based taxonomic kingdom phylum. Originally, Cavalier-Smith defined -called subkingdoms Negibacteria Posibacteria (2002, PMID 11837318), considered phyla Posibacteria: Actinobacteria, Chloroflexi, Firmicutes, Tenericutes. phyla later renamed Actinomycetota, Chloroflexota, Bacillota, Mycoplasmatota (2021, PMID 34694987). Bacteria phyla considered Gram-positive AMR package, except members class Negativicutes (within phylum Bacillota) Gram-negative. bacteria considered Gram-negative. Species outside kingdom Bacteria return value NA. Functions mo_is_gram_negative() mo_is_gram_positive() always return TRUE FALSE (NA input NA MO code UNKNOWN), thus always return FALSE species outside taxonomic kingdom Bacteria. Determination yeasts (mo_is_yeast()) based taxonomic kingdom class. Budding yeasts fungi phylum Ascomycota, class Saccharomycetes (also called Hemiascomycetes). True yeasts aggregated underlying order Saccharomycetales. Thus, microorganisms member taxonomic class Saccharomycetes, function return TRUE. returns FALSE otherwise (NA input NA MO code UNKNOWN). Determination intrinsic resistance (mo_is_intrinsic_resistant()) based intrinsic_resistant data set, based 'EUCAST Expert Rules' 'EUCAST Intrinsic Resistance Unusual Phenotypes' v3.3 (2021). mo_is_intrinsic_resistant() function can vectorised argument x (input microorganisms) ab (input antibiotics). Determination bacterial oxygen tolerance (mo_oxygen_tolerance()) based BacDive, see Source. function mo_is_anaerobic() returns TRUE oxygen tolerance \"anaerobe\", indicting obligate anaerobic species genus. always returns FALSE species outside taxonomic kingdom Bacteria. function mo_url() return direct URL online database entry, also shows scientific reference concerned species. SNOMED codes (mo_snomed()) version July 1st, 2021. See Source microorganisms data set info. Old taxonomic names (-called 'synonyms') can retrieved mo_synonyms() (scientific reference name), current taxonomic name can retrieved mo_current(). functions return full names. output translated possible.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"matching-score-for-microorganisms","dir":"Reference","previous_headings":"","what":"Matching Score for Microorganisms","title":"Get Properties of a Microorganism — mo_property","text":"function uses .mo() internally, uses advanced algorithm translate arbitrary user input valid taxonomy using -called matching score. can read public algorithm MO matching score page.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Get Properties of a Microorganism — mo_property","text":"Berends MS et al. (2022). AMR: R Package Working Antimicrobial Resistance Data. Journal Statistical Software, 104(3), 1-31; doi:10.18637/jss.v104.i03 Becker K et al. (2014). Coagulase-Negative Staphylococci. Clin Microbiol Rev. 27(4): 870-926; doi:10.1128/CMR.00109-13 Becker K et al. (2019). Implications identifying recently defined members S. aureus complex, S. argenteus S. schweitzeri: position paper members ESCMID Study Group staphylococci Staphylococcal Diseases (ESGS). Clin Microbiol Infect; doi:10.1016/j.cmi.2019.02.028 Becker K et al. (2020). Emergence coagulase-negative staphylococci. Expert Rev Anti Infect Ther. 18(4):349-366; doi:10.1080/14787210.2020.1730813 Lancefield RC (1933). serological differentiation human groups hemolytic streptococci. J Exp Med. 57(4): 571-95; doi:10.1084/jem.57.4.571 Berends MS et al. (2022). Trends Occurrence Phenotypic Resistance Coagulase-Negative Staphylococci (CoNS) Found Human Blood Northern Netherlands 2013 2019/ Micro.rganisms 10(9), 1801; doi:10.3390/microorganisms10091801 Parte, AC et al. (2020). List Prokaryotic names Standing Nomenclature (LPSN) moves DSMZ. International Journal Systematic Evolutionary Microbiology, 70, 5607-5612; doi:10.1099/ijsem.0.004332 . Accessed https://lpsn.dsmz.de December 11th, 2022. GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset doi:10.15468/39omei . Accessed https://www.gbif.org January 8th, 2024. Reimer, LC et al. (2022). BacDive 2022: knowledge base standardized bacterial archaeal data. Nucleic Acids Res., 50(D1):D741-D74; doi:10.1093/nar/gkab961 . Accessed https://bacdive.dsmz.de May 12th, 2023. Public Health Information Network Vocabulary Access Distribution System (PHIN VADS). US Edition SNOMED CT 1 September 2020. Value Set Name 'Microorganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: https://phinvads.cdc.gov Bartlett et al. (2022). comprehensive list bacterial pathogens infecting humans Microbiology 168:001269; doi:10.1099/mic.0.001269","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Get Properties of a Microorganism — mo_property","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get Properties of a Microorganism — mo_property","text":"","code":"# taxonomic tree -----------------------------------------------------------  mo_kingdom(\"Klebsiella pneumoniae\") #> [1] \"Bacteria\" mo_phylum(\"Klebsiella pneumoniae\") #> [1] \"Pseudomonadota\" mo_class(\"Klebsiella pneumoniae\") #> [1] \"Gammaproteobacteria\" mo_order(\"Klebsiella pneumoniae\") #> [1] \"Enterobacterales\" mo_family(\"Klebsiella pneumoniae\") #> [1] \"Enterobacteriaceae\" mo_genus(\"Klebsiella pneumoniae\") #> [1] \"Klebsiella\" mo_species(\"Klebsiella pneumoniae\") #> [1] \"pneumoniae\" mo_subspecies(\"Klebsiella pneumoniae\") #> [1] \"\"   # full names and short names -----------------------------------------------  mo_name(\"Klebsiella pneumoniae\") #> [1] \"Klebsiella pneumoniae\" mo_fullname(\"Klebsiella pneumoniae\") #> [1] \"Klebsiella pneumoniae\" mo_shortname(\"Klebsiella pneumoniae\") #> [1] \"K. pneumoniae\"   # other properties ---------------------------------------------------------  mo_pathogenicity(\"Klebsiella pneumoniae\") #> [1] Pathogenic #> Levels: Pathogenic < Potentially pathogenic < Non-pathogenic < Unknown mo_gramstain(\"Klebsiella pneumoniae\") #> [1] \"Gram-negative\" mo_snomed(\"Klebsiella pneumoniae\") #> [[1]] #> [1] \"1098101000112102\" \"446870005\"        \"1098201000112108\" \"409801009\"        #> [5] \"56415008\"         \"714315002\"        \"713926009\"        #>  mo_type(\"Klebsiella pneumoniae\") #> [1] \"Bacteria\" mo_rank(\"Klebsiella pneumoniae\") #> [1] \"species\" mo_url(\"Klebsiella pneumoniae\") #>                                Klebsiella pneumoniae  #> \"https://lpsn.dsmz.de/species/klebsiella-pneumoniae\"  mo_is_yeast(c(\"Candida\", \"Trichophyton\", \"Klebsiella\")) #> [1]  TRUE FALSE FALSE   # scientific reference -----------------------------------------------------  mo_ref(\"Klebsiella aerogenes\") #> [1] \"Tindall et al., 2017\" mo_authors(\"Klebsiella aerogenes\") #> [1] \"Tindall et al.\" mo_year(\"Klebsiella aerogenes\") #> [1] 2017 mo_lpsn(\"Klebsiella aerogenes\") #> [1] \"777146\" mo_gbif(\"Klebsiella aerogenes\") #> [1] \"9281703\" mo_synonyms(\"Klebsiella aerogenes\") #>   Hormaeche et al., 1960     Bascomb et al., 1971  #> \"Enterobacter aerogenes\"     \"Klebsiella mobilis\"    # abbreviations known in the field -----------------------------------------  mo_genus(\"MRSA\") #> [1] \"Staphylococcus\" mo_species(\"MRSA\") #> [1] \"aureus\" mo_shortname(\"VISA\") #> [1] \"S. aureus\" mo_gramstain(\"VISA\") #> [1] \"Gram-positive\"  mo_genus(\"EHEC\") #> [1] \"Escherichia\" mo_species(\"EIEC\") #> [1] \"coli\" mo_name(\"UPEC\") #> [1] \"Escherichia coli\"   # known subspecies ---------------------------------------------------------  mo_fullname(\"K. pneu rh\") #> [1] \"Klebsiella pneumoniae rhinoscleromatis\" mo_shortname(\"K. pneu rh\") #> [1] \"K. pneumoniae\"  # \\donttest{ # Becker classification, see ?as.mo ----------------------------------------  mo_fullname(\"Staph epidermidis\") #> [1] \"Staphylococcus epidermidis\" mo_fullname(\"Staph epidermidis\", Becker = TRUE) #> [1] \"Coagulase-negative Staphylococcus (CoNS)\" mo_shortname(\"Staph epidermidis\") #> [1] \"S. epidermidis\" mo_shortname(\"Staph epidermidis\", Becker = TRUE) #> [1] \"CoNS\"   # Lancefield classification, see ?as.mo ------------------------------------  mo_fullname(\"Strep agalactiae\") #> [1] \"Streptococcus agalactiae\" mo_fullname(\"Strep agalactiae\", Lancefield = TRUE) #> [1] \"Streptococcus Group B\" mo_shortname(\"Strep agalactiae\") #> [1] \"S. agalactiae\" mo_shortname(\"Strep agalactiae\", Lancefield = TRUE) #> [1] \"GBS\"   # language support  --------------------------------------------------------  mo_gramstain(\"Klebsiella pneumoniae\", language = \"de\") # German #> [1] \"Gramnegativ\" mo_gramstain(\"Klebsiella pneumoniae\", language = \"nl\") # Dutch #> [1] \"Gram-negatief\" mo_gramstain(\"Klebsiella pneumoniae\", language = \"es\") # Spanish #> [1] \"Gram negativo\" mo_gramstain(\"Klebsiella pneumoniae\", language = \"el\") # Greek #> [1] \"Αρνητικό κατά Gram\" mo_gramstain(\"Klebsiella pneumoniae\", language = \"uk\") # Ukrainian #> [1] \"Грамнегативні\"  # mo_type is equal to mo_kingdom, but mo_kingdom will remain untranslated mo_kingdom(\"Klebsiella pneumoniae\") #> [1] \"Bacteria\" mo_type(\"Klebsiella pneumoniae\") #> [1] \"Bacteria\" mo_kingdom(\"Klebsiella pneumoniae\", language = \"zh\") # Chinese, no effect #> [1] \"Bacteria\" mo_type(\"Klebsiella pneumoniae\", language = \"zh\") # Chinese, translated #> [1] \"细菌\"  mo_fullname(\"S. pyogenes\", Lancefield = TRUE, language = \"de\") #> [1] \"Streptococcus Gruppe A\" mo_fullname(\"S. pyogenes\", Lancefield = TRUE, language = \"uk\") #> [1] \"Streptococcus Група A\"   # other --------------------------------------------------------------------  # gram stains and intrinsic resistance can be used as a filter in dplyr verbs if (require(\"dplyr\")) {   example_isolates %>%     filter(mo_is_gram_positive()) %>%     count(mo_genus(), sort = TRUE) } #> ℹ Using column 'mo' as input for mo_is_gram_positive() #> ℹ Using column 'mo' as input for mo_genus() #> # A tibble: 18 × 2 #>    `mo_genus()`        n #>    <chr>           <int> #>  1 Staphylococcus    840 #>  2 Streptococcus     275 #>  3 Enterococcus       83 #>  4 Corynebacterium    17 #>  5 Micrococcus         6 #>  6 Gemella             3 #>  7 Aerococcus          2 #>  8 Cutibacterium       1 #>  9 Dermabacter         1 #> 10 Fusibacter          1 #> 11 Globicatella        1 #> 12 Granulicatella      1 #> 13 Lactobacillus       1 #> 14 Leuconostoc         1 #> 15 Listeria            1 #> 16 Paenibacillus       1 #> 17 Rothia              1 #> 18 Schaalia            1 if (require(\"dplyr\")) {   example_isolates %>%     filter(mo_is_intrinsic_resistant(ab = \"vanco\")) %>%     count(mo_genus(), sort = TRUE) } #> ℹ Using column 'mo' as input for mo_is_intrinsic_resistant() #> ℹ Using column 'mo' as input for mo_genus() #> # A tibble: 20 × 2 #>    `mo_genus()`         n #>    <chr>            <int> #>  1 Escherichia        467 #>  2 Klebsiella          77 #>  3 Proteus             39 #>  4 Pseudomonas         30 #>  5 Serratia            25 #>  6 Enterobacter        23 #>  7 Citrobacter         11 #>  8 Haemophilus          8 #>  9 Acinetobacter        6 #> 10 Morganella           6 #> 11 Pantoea              4 #> 12 Salmonella           3 #> 13 Neisseria            2 #> 14 Stenotrophomonas     2 #> 15 Campylobacter        1 #> 16 Enterococcus         1 #> 17 Hafnia               1 #> 18 Lactobacillus        1 #> 19 Leuconostoc          1 #> 20 Pseudescherichia     1  # get a list with the complete taxonomy (from kingdom to subspecies) mo_taxonomy(\"Klebsiella pneumoniae\") #> $kingdom #> [1] \"Bacteria\" #>  #> $phylum #> [1] \"Pseudomonadota\" #>  #> $class #> [1] \"Gammaproteobacteria\" #>  #> $order #> [1] \"Enterobacterales\" #>  #> $family #> [1] \"Enterobacteriaceae\" #>  #> $genus #> [1] \"Klebsiella\" #>  #> $species #> [1] \"pneumoniae\" #>  #> $subspecies #> [1] \"\" #>   # get a list with the taxonomy, the authors, Gram-stain, # SNOMED codes, and URL to the online database mo_info(\"Klebsiella pneumoniae\") #> $mo #> [1] \"B_KLBSL_PNMN\" #>  #> $kingdom #> [1] \"Bacteria\" #>  #> $phylum #> [1] \"Pseudomonadota\" #>  #> $class #> [1] \"Gammaproteobacteria\" #>  #> $order #> [1] \"Enterobacterales\" #>  #> $family #> [1] \"Enterobacteriaceae\" #>  #> $genus #> [1] \"Klebsiella\" #>  #> $species #> [1] \"pneumoniae\" #>  #> $subspecies #> [1] \"\" #>  #> $status #> [1] \"accepted\" #>  #> $synonyms #> NULL #>  #> $gramstain #> [1] \"Gram-negative\" #>  #> $oxygen_tolerance #> [1] \"aerobe\" #>  #> $url #> [1] \"https://lpsn.dsmz.de/species/klebsiella-pneumoniae\" #>  #> $ref #> [1] \"Trevisan, 1887\" #>  #> $snomed #> [1] \"1098101000112102\" \"446870005\"        \"1098201000112108\" \"409801009\"        #> [5] \"56415008\"         \"714315002\"        \"713926009\"        #>  #> $lpsn #> [1] \"777151\" #>  #> $gbif #> [1] \"3221874\" #>  # }"},{"path":"https://msberends.github.io/AMR/reference/mo_source.html","id":null,"dir":"Reference","previous_headings":"","what":"User-Defined Reference Data Set for Microorganisms — mo_source","title":"User-Defined Reference Data Set for Microorganisms — mo_source","text":"functions can used predefine reference used .mo() consequently mo_* functions (mo_genus() mo_gramstain()). fastest way organisation (analysis) specific codes picked translated package, since bother setting .","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_source.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"User-Defined Reference Data Set for Microorganisms — mo_source","text":"","code":"set_mo_source(   path,   destination = getOption(\"AMR_mo_source\", \"~/mo_source.rds\") )  get_mo_source(destination = getOption(\"AMR_mo_source\", \"~/mo_source.rds\"))"},{"path":"https://msberends.github.io/AMR/reference/mo_source.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"User-Defined Reference Data Set for Microorganisms — mo_source","text":"path location reference file, can text file (comma-, tab- pipe-separated) Excel file (see Details). Can also \"\", NULL FALSE delete reference file. destination destination compressed data file - default user's home directory.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_source.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"User-Defined Reference Data Set for Microorganisms — mo_source","text":"reference file can text file separated commas (CSV) tabs pipes, Excel file (either 'xls' 'xlsx' format) R object file (extension '.rds'). use Excel file, need readxl package installed. set_mo_source() check file validity: must data.frame, must column named \"mo\" contains values microorganisms$mo microorganisms$fullname must reference column defined values. tests pass, set_mo_source() read file R ask export \"~/mo_source.rds\". CRAN policy disallows packages write file system, although 'exceptions may allowed interactive sessions package obtains confirmation user'. reason, function works interactive sessions user can specifically confirm allow file created. destination file can set destination argument defaults user's home directory. can also set package option AMR_mo_source, e.g. options(AMR_mo_source = \"/location/file.rds\"). created compressed data file \"mo_source.rds\" used default MO determination (function .mo() consequently mo_* functions like mo_genus() mo_gramstain()). location timestamp original file saved attribute compressed data file. function get_mo_source() return data set reading \"mo_source.rds\" readRDS(). original file changed (checking location timestamp original file), call set_mo_source() update data file automatically used interactive session. Reading Excel file (.xlsx) one row size 8-9 kB. compressed file created set_mo_source() size 0.1 kB can read get_mo_source() couple microseconds (millionths second).","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_source.html","id":"how-to-setup","dir":"Reference","previous_headings":"","what":"How to Setup","title":"User-Defined Reference Data Set for Microorganisms — mo_source","text":"Imagine data sheet Excel file. first column contains organisation specific codes, second column contains valid taxonomic names:   save \"home//ourcodes.xlsx\". Now set source:   now created file \"~/mo_source.rds\" contents Excel file. first column foreign values 'mo' column kept creating RDS file. now can use functions:   edit Excel file , say, adding row 4 like :   ...new usage MO function package update data file:   delete reference data file, just use \"\", NULL FALSE input set_mo_source():   original file (previous case Excel file) moved deleted, mo_source.rds file removed upon next use .mo() mo_* function.","code":"|         A          |            B          | --|--------------------|-----------------------| 1 | Organisation XYZ   | mo                    | 2 | lab_mo_ecoli       | Escherichia coli      | 3 | lab_mo_kpneumoniae | Klebsiella pneumoniae | 4 |                    |                       | set_mo_source(\"home/me/ourcodes.xlsx\") #> NOTE: Created mo_source file '/Users/me/mo_source.rds' (0.3 kB) from #>       '/Users/me/Documents/ourcodes.xlsx' (9 kB), columns #>       \"Organisation XYZ\" and \"mo\" as.mo(\"lab_mo_ecoli\") #> Class 'mo' #> [1] B_ESCHR_COLI  mo_genus(\"lab_mo_kpneumoniae\") #> [1] \"Klebsiella\"  # other input values still work too as.mo(c(\"Escherichia coli\", \"E. coli\", \"lab_mo_ecoli\")) #> NOTE: Translation to one microorganism was guessed with uncertainty. #>       Use mo_uncertainties() to review it. #> Class 'mo' #> [1] B_ESCHR_COLI B_ESCHR_COLI B_ESCHR_COLI |         A          |            B          | --|--------------------|-----------------------| 1 | Organisation XYZ   | mo                    | 2 | lab_mo_ecoli       | Escherichia coli      | 3 | lab_mo_kpneumoniae | Klebsiella pneumoniae | 4 | lab_Staph_aureus   | Staphylococcus aureus | 5 |                    |                       | as.mo(\"lab_mo_ecoli\") #> NOTE: Updated mo_source file '/Users/me/mo_source.rds' (0.3 kB) from #>       '/Users/me/Documents/ourcodes.xlsx' (9 kB), columns #>        \"Organisation XYZ\" and \"mo\" #> Class 'mo' #> [1] B_ESCHR_COLI  mo_genus(\"lab_Staph_aureus\") #> [1] \"Staphylococcus\" set_mo_source(NULL) #> Removed mo_source file '/Users/me/mo_source.rds'"},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":null,"dir":"Reference","previous_headings":"","what":"Principal Component Analysis (for AMR) — pca","title":"Principal Component Analysis (for AMR) — pca","text":"Performs principal component analysis (PCA) based data set automatic determination afterwards plotting groups labels, automatic filtering suitable (.e. non-empty numeric) variables.","code":""},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Principal Component Analysis (for AMR) — pca","text":"","code":"pca(   x,   ...,   retx = TRUE,   center = TRUE,   scale. = TRUE,   tol = NULL,   rank. = NULL )"},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Principal Component Analysis (for AMR) — pca","text":"x data.frame containing numeric columns ... columns x selected PCA, can unquoted since supports quasiquotation. retx logical value indicating whether rotated variables     returned. center logical value indicating whether variables     shifted zero centered. Alternately, vector     length equal number columns x can supplied.     value passed scale. scale. logical value indicating whether variables     scaled unit variance analysis takes     place.  default FALSE consistency S,     general scaling advisable.  Alternatively, vector length     equal number columns x can supplied.      value passed scale. tol value indicating magnitude components     omitted. (Components omitted     standard deviations less equal tol times     standard deviation first component.)  default null     setting, components omitted (unless rank. specified     less min(dim(x)).).  settings tol     tol = 0 tol = sqrt(.Machine$double.eps),     omit essentially constant components. rank. optionally, number specifying maximal rank, .e.,     maximal number principal components used.  Can set     alternative addition tol, useful notably     desired rank considerably smaller dimensions matrix.","code":""},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Principal Component Analysis (for AMR) — pca","text":"object classes pca prcomp","code":""},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Principal Component Analysis (for AMR) — pca","text":"pca() function takes data.frame input performs actual PCA R function prcomp(). result pca() function prcomp object, additional attribute non_numeric_cols vector column names columns contain numeric values. probably groups labels, used ggplot_pca().","code":""},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Principal Component Analysis (for AMR) — pca","text":"","code":"# `example_isolates` is a data set available in the AMR package. # See ?example_isolates.  # \\donttest{ if (require(\"dplyr\")) {   # calculate the resistance per group first   resistance_data <- example_isolates %>%     group_by(       order = mo_order(mo), # group on anything, like order       genus = mo_genus(mo)     ) %>% #   and genus as we do here;     filter(n() >= 30) %>% # filter on only 30 results per group     summarise_if(is.sir, resistance) # then get resistance of all drugs    # now conduct PCA for certain antimicrobial drugs   pca_result <- resistance_data %>%     pca(AMC, CXM, CTX, CAZ, GEN, TOB, TMP, SXT)    pca_result   summary(pca_result)    # old base R plotting method:   biplot(pca_result)   # new ggplot2 plotting method using this package:   if (require(\"ggplot2\")) {     ggplot_pca(pca_result)      ggplot_pca(pca_result) +       scale_colour_viridis_d() +       labs(title = \"Title here\")   } } #> Warning: There were 73 warnings in `summarise()`. #> The first warning was: #> ℹ In argument: `PEN = (function (..., minimum = 30, as_percent = FALSE, #>   only_all_tested = FALSE) ...`. #> ℹ In group 5: `order = \"Lactobacillales\"` and `genus = \"Enterococcus\"`. #> Caused by warning: #> ! Introducing NA: only 14 results available for PEN in group: order = #> \"Lactobacillales\", genus = \"Enterococcus\" (minimum = 30). #> ℹ Run `dplyr::last_dplyr_warnings()` to see the 72 remaining warnings. #> ℹ Columns selected for PCA: \"AMC\", \"CAZ\", \"CTX\", \"CXM\", \"GEN\", \"SXT\", #>   \"TMP\", and \"TOB\". Total observations available: 7. #> Groups (n=4, named as 'order'): #> [1] \"Caryophanales\"    \"Enterobacterales\" \"Lactobacillales\"  \"Pseudomonadales\"  #>    # }"},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":null,"dir":"Reference","previous_headings":"","what":"Plotting for Classes sir, mic and disk — plot","title":"Plotting for Classes sir, mic and disk — plot","text":"Functions plot classes sir, mic disk, support base R ggplot2. Especially scale_*_mic() functions relevant wrappers plot MIC values ggplot2. allows custom MIC ranges plot intermediate log2 levels missing MIC values.","code":""},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plotting for Classes sir, mic and disk — plot","text":"","code":"scale_x_mic(keep_operators = \"edges\", mic_range = NULL, drop = FALSE, ...)  scale_y_mic(keep_operators = \"edges\", mic_range = NULL, drop = FALSE, ...)  scale_colour_mic(keep_operators = \"edges\", mic_range = NULL, drop = FALSE, ...)  scale_fill_mic(keep_operators = \"edges\", mic_range = NULL, drop = FALSE, ...)  # S3 method for mic plot(   x,   mo = NULL,   ab = NULL,   guideline = \"EUCAST\",   main = deparse(substitute(x)),   ylab = translate_AMR(\"Frequency\", language = language),   xlab = translate_AMR(\"Minimum Inhibitory Concentration (mg/L)\", language = language),   colours_SIR = c(\"#3CAEA3\", \"#F6D55C\", \"#ED553B\"),   language = get_AMR_locale(),   expand = TRUE,   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   ... )  # S3 method for mic autoplot(   object,   mo = NULL,   ab = NULL,   guideline = \"EUCAST\",   title = deparse(substitute(object)),   ylab = translate_AMR(\"Frequency\", language = language),   xlab = translate_AMR(\"Minimum Inhibitory Concentration (mg/L)\", language = language),   colours_SIR = c(\"#3CAEA3\", \"#F6D55C\", \"#ED553B\"),   language = get_AMR_locale(),   expand = TRUE,   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   ... )  # S3 method for mic fortify(object, ...)  # S3 method for disk plot(   x,   main = deparse(substitute(x)),   ylab = translate_AMR(\"Frequency\", language = language),   xlab = translate_AMR(\"Disk diffusion diameter (mm)\", language = language),   mo = NULL,   ab = NULL,   guideline = \"EUCAST\",   colours_SIR = c(\"#3CAEA3\", \"#F6D55C\", \"#ED553B\"),   language = get_AMR_locale(),   expand = TRUE,   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   ... )  # S3 method for disk autoplot(   object,   mo = NULL,   ab = NULL,   title = deparse(substitute(object)),   ylab = translate_AMR(\"Frequency\", language = language),   xlab = translate_AMR(\"Disk diffusion diameter (mm)\", language = language),   guideline = \"EUCAST\",   colours_SIR = c(\"#3CAEA3\", \"#F6D55C\", \"#ED553B\"),   language = get_AMR_locale(),   expand = TRUE,   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   ... )  # S3 method for disk fortify(object, ...)  # S3 method for sir plot(   x,   ylab = translate_AMR(\"Percentage\", language = language),   xlab = translate_AMR(\"Antimicrobial Interpretation\", language = language),   main = deparse(substitute(x)),   language = get_AMR_locale(),   ... )  # S3 method for sir autoplot(   object,   title = deparse(substitute(object)),   xlab = translate_AMR(\"Antimicrobial Interpretation\", language = language),   ylab = translate_AMR(\"Frequency\", language = language),   colours_SIR = c(\"#3CAEA3\", \"#F6D55C\", \"#ED553B\"),   language = get_AMR_locale(),   ... )  # S3 method for sir fortify(object, ...)"},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plotting for Classes sir, mic and disk — plot","text":"keep_operators character specifying handle operators (> <=) input. Accepts one three values: \"\" (TRUE) keep operators, \"none\" (FALSE) remove operators, \"edges\" keep operators ends range. mic_range manual range limit MIC values, e.g., mic_range = c(0.001, 32). Use NA set limit one side, e.g., mic_range = c(NA, 32). drop logical remove intermediate MIC values, defaults FALSE ... arguments passed methods x, object values created .mic(), .disk() .sir() (random_* variants, random_mic()) mo (vector ) text can coerced valid microorganism code .mo() ab (vector ) text can coerced valid antimicrobial drug code .ab() guideline interpretation guideline use - default latest included EUCAST guideline, see Details main, title title plot xlab, ylab axis title colours_SIR colours use filling bars, must vector three values (order S, R). default colours colour-blind friendly. language language used translate 'Susceptible', 'Increased exposure'/'Intermediate' 'Resistant' - default system language (see get_AMR_locale()) can overwritten setting package option AMR_locale, e.g. options(AMR_locale = \"de\"), see translate. Use language = NULL language = \"\" prevent translation. expand logical indicate whether range x axis expanded lowest highest value. MIC values, intermediate values factors 2 starting highest MIC value. disk diameters, whole diameter range filled. include_PKPD logical indicate PK/PD clinical breakpoints must applied last resort - default TRUE. Can also set package option AMR_include_PKPD. breakpoint_type type breakpoints use, either \"ECOFF\", \"animal\", \"human\". ECOFF stands Epidemiological Cut-values. default \"human\", can also set package option AMR_breakpoint_type. host set values veterinary species, automatically set \"animal\".","code":""},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plotting for Classes sir, mic and disk — plot","text":"autoplot() functions return ggplot model extendible ggplot2 function. fortify() functions return data.frame extension usage ggplot2::ggplot() function.","code":""},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plotting for Classes sir, mic and disk — plot","text":"interpretation \"\" named \"Increased exposure\" EUCAST guidelines since 2019, named \"Intermediate\" cases. interpreting MIC values well disk diffusion diameters, supported guidelines used input guideline argument : \"EUCAST 2023\", \"EUCAST 2022\", \"EUCAST 2021\", \"EUCAST 2020\", \"EUCAST 2019\", \"EUCAST 2018\", \"EUCAST 2017\", \"EUCAST 2016\", \"EUCAST 2015\", \"EUCAST 2014\", \"EUCAST 2013\", \"EUCAST 2012\", \"EUCAST 2011\", \"CLSI 2023\", \"CLSI 2022\", \"CLSI 2021\", \"CLSI 2020\", \"CLSI 2019\", \"CLSI 2018\", \"CLSI 2017\", \"CLSI 2016\", \"CLSI 2015\", \"CLSI 2014\", \"CLSI 2013\", \"CLSI 2012\", \"CLSI 2011\". Simply using \"CLSI\" \"EUCAST\" input automatically select latest version guideline.","code":""},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plotting for Classes sir, mic and disk — plot","text":"","code":"some_mic_values <- random_mic(size = 100) some_disk_values <- random_disk(size = 100, mo = \"Escherichia coli\", ab = \"cipro\") some_sir_values <- random_sir(50, prob_SIR = c(0.55, 0.05, 0.30))  plot(some_mic_values)  plot(some_disk_values)  plot(some_sir_values)   # when providing the microorganism and antibiotic, colours will show interpretations: plot(some_mic_values, mo = \"S. aureus\", ab = \"ampicillin\")  plot(some_disk_values, mo = \"Escherichia coli\", ab = \"cipro\")  plot(some_disk_values, mo = \"Escherichia coli\", ab = \"cipro\", language = \"nl\")    # Plotting using scale_x_mic() # \\donttest{ if (require(\"ggplot2\")) {   mic_plot <- ggplot(data.frame(mics = as.mic(c(0.125, \"<=4\", 4, 8, 32, \">=32\")),                                 counts = c(1, 1, 2, 2, 3, 3)),                      aes(mics, counts)) +     geom_col()   mic_plot +     labs(title = \"without scale_x_mic()\") }  if (require(\"ggplot2\")) {   mic_plot +     scale_x_mic() +     labs(title = \"with scale_x_mic()\") }  if (require(\"ggplot2\")) {   mic_plot +     scale_x_mic(keep_operators = \"all\") +     labs(title = \"with scale_x_mic() keeping all operators\") }  if (require(\"ggplot2\")) {   mic_plot +     scale_x_mic(mic_range = c(1, 128)) +     labs(title = \"with scale_x_mic() using a manual range\") }   if (require(\"ggplot2\")) {   autoplot(some_mic_values) }  if (require(\"ggplot2\")) {   autoplot(some_disk_values, mo = \"Escherichia coli\", ab = \"cipro\") }  if (require(\"ggplot2\")) {   autoplot(some_sir_values) }  # }"},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate Antimicrobial Resistance — proportion","title":"Calculate Antimicrobial Resistance — proportion","text":"functions can used calculate (co-)resistance susceptibility microbial isolates (.e. percentage S, SI, , IR R). functions support quasiquotation pipes, can used summarise() dplyr package also support grouped variables, see Examples. resistance() used calculate resistance, susceptibility() used calculate susceptibility.","code":""},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate Antimicrobial Resistance — proportion","text":"","code":"resistance(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  susceptibility(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  sir_confidence_interval(   ...,   ab_result = \"R\",   minimum = 30,   as_percent = FALSE,   only_all_tested = FALSE,   confidence_level = 0.95,   side = \"both\",   collapse = FALSE )  proportion_R(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  proportion_IR(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  proportion_I(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  proportion_SI(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  proportion_S(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  proportion_df(   data,   translate_ab = \"name\",   language = get_AMR_locale(),   minimum = 30,   as_percent = FALSE,   combine_SI = TRUE,   confidence_level = 0.95 )  sir_df(   data,   translate_ab = \"name\",   language = get_AMR_locale(),   minimum = 30,   as_percent = FALSE,   combine_SI = TRUE,   confidence_level = 0.95 )"},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Calculate Antimicrobial Resistance — proportion","text":"M39 Analysis Presentation Cumulative Antimicrobial Susceptibility Test Data, 5th Edition, 2022, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/microbiology/documents/m39/.","code":""},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate Antimicrobial Resistance — proportion","text":"... one vectors (columns) antibiotic interpretations. transformed internally .sir() needed. Use multiple columns calculate (lack ) co-resistance: probability one two drugs resistant susceptible result. See Examples. minimum minimum allowed number available (tested) isolates. isolate count lower minimum return NA warning. default number 30 isolates advised Clinical Laboratory Standards Institute (CLSI) best practice, see Source. as_percent logical indicate whether output must returned hundred fold % sign (character). value 0.123456 returned \"12.3%\". only_all_tested (combination therapies, .e. using one variable ...): logical indicate isolates must tested antibiotics, see section Combination Therapy ab_result antibiotic results test , must one values \"S\", \"\", \"R\" confidence_level confidence level returned confidence interval. calculation, number S SI isolates, R isolates compared total number available isolates R, S, using binom.test(), .e., Clopper-Pearson method. side side confidence interval return. default \"\" length 2 vector, can also (abbreviated ) \"min\"/\"left\"/\"lower\"/\"less\" \"max\"/\"right\"/\"higher\"/\"greater\". collapse logical indicate whether output values 'collapsed', .e. merged together one value, character value use collapsing data data.frame containing columns class sir (see .sir()) translate_ab column name antibiotics data set translate antibiotic abbreviations , using ab_property() language language returned text - default current system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. combine_SI logical indicate whether values S must merged one, output consists S+vs. R (susceptible vs. resistant) - default TRUE","code":""},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate Antimicrobial Resistance — proportion","text":"double , as_percent = TRUE, character.","code":""},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate Antimicrobial Resistance — proportion","text":"Remember filter data let contain first isolates! needed exclude duplicates reduce selection bias. Use first_isolate() determine data set one four available algorithms. function resistance() equal function proportion_R(). function susceptibility() equal function proportion_SI(). Use sir_confidence_interval() calculate confidence interval, relies binom.test(), .e., Clopper-Pearson method. function returns vector length 2 default antimicrobial resistance. Change side argument \"left\"/\"min\" \"right\"/\"max\" return single value, change ab_result argument e.g. c(\"S\", \"\") test antimicrobial susceptibility, see Examples. functions meant count isolates, calculate proportion resistance/susceptibility. Use count_*() functions count isolates. function susceptibility() essentially equal count_susceptible()/count_all(). Low counts can influence outcome - proportion_*() functions may camouflage , since return proportion (albeit dependent minimum argument). function proportion_df() takes variable data sir class (created .sir()) calculates proportions S, , R. also supports grouped variables. function sir_df() works exactly like proportion_df(), adds number isolates.","code":""},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"combination-therapy","dir":"Reference","previous_headings":"","what":"Combination Therapy","title":"Calculate Antimicrobial Resistance — proportion","text":"using one variable ... (= combination therapy), use only_all_tested count isolates tested antibiotics/variables test . See example two antibiotics, Drug Drug B, susceptibility() works calculate %SI:   Please note , combination therapies, only_all_tested = TRUE applies :   , combination therapies, only_all_tested = FALSE applies :   Using only_all_tested impact using one antibiotic input.","code":"--------------------------------------------------------------------                     only_all_tested = FALSE  only_all_tested = TRUE                     -----------------------  -----------------------  Drug A    Drug B   include as  include as   include as  include as                     numerator   denominator  numerator   denominator --------  --------  ----------  -----------  ----------  -----------  S or I    S or I       X            X            X            X    R       S or I       X            X            X            X   <NA>     S or I       X            X            -            -  S or I      R          X            X            X            X    R         R          -            X            -            X   <NA>       R          -            -            -            -  S or I     <NA>        X            X            -            -    R        <NA>        -            -            -            -   <NA>      <NA>        -            -            -            - -------------------------------------------------------------------- count_S()    +   count_I()    +   count_R()    = count_all()   proportion_S() + proportion_I() + proportion_R() = 1 count_S()    +   count_I()    +   count_R()    >= count_all()   proportion_S() + proportion_I() + proportion_R() >= 1"},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"interpretation-of-sir","dir":"Reference","previous_headings":"","what":"Interpretation of SIR","title":"Calculate Antimicrobial Resistance — proportion","text":"2019, European Committee Antimicrobial Susceptibility Testing (EUCAST) decided change definitions susceptibility testing categories S, , R shown (https://www.eucast.org/newsiandr): S - Susceptible, standard dosing regimen microorganism categorised \"Susceptible, standard dosing regimen\", high likelihood therapeutic success using standard dosing regimen agent. - Susceptible, increased exposure  microorganism categorised \"Susceptible, Increased exposure\" high likelihood therapeutic success exposure agent increased adjusting dosing regimen concentration site infection. R = Resistant microorganism categorised \"Resistant\" high likelihood therapeutic failure even increased exposure. Exposure function mode administration, dose, dosing interval, infusion time, well distribution excretion antimicrobial agent influence infecting organism site infection. AMR package honours insight. Use susceptibility() (equal proportion_SI()) determine antimicrobial susceptibility count_susceptible() (equal count_SI()) count susceptible isolates.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate Antimicrobial Resistance — proportion","text":"","code":"# example_isolates is a data set available in the AMR package. # run ?example_isolates for more info. example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …   # base R ------------------------------------------------------------ # determines %R resistance(example_isolates$AMX) #> [1] 0.5955556 sir_confidence_interval(example_isolates$AMX) #> [1] 0.5688204 0.6218738 sir_confidence_interval(example_isolates$AMX,   confidence_level = 0.975 ) #> [1] 0.5650148 0.6255670 sir_confidence_interval(example_isolates$AMX,   confidence_level = 0.975,   collapse = \", \" ) #> [1] \"0.565, 0.626\"  # determines %S+I: susceptibility(example_isolates$AMX) #> [1] 0.4044444 sir_confidence_interval(example_isolates$AMX,   ab_result = c(\"S\", \"I\") ) #> [1] 0.3781262 0.4311796  # be more specific proportion_S(example_isolates$AMX) #> [1] 0.4022222 proportion_SI(example_isolates$AMX) #> [1] 0.4044444 proportion_I(example_isolates$AMX) #> [1] 0.002222222 proportion_IR(example_isolates$AMX) #> [1] 0.5977778 proportion_R(example_isolates$AMX) #> [1] 0.5955556  # dplyr ------------------------------------------------------------- # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     group_by(ward) %>%     summarise(       r = resistance(CIP),       n = n_sir(CIP)     ) # n_sir works like n_distinct in dplyr, see ?n_sir } #> # A tibble: 3 × 3 #>   ward           r     n #>   <chr>      <dbl> <int> #> 1 Clinical   0.147   869 #> 2 ICU        0.190   447 #> 3 Outpatient 0.161    93 if (require(\"dplyr\")) {   example_isolates %>%     group_by(ward) %>%     summarise(       cipro_R = resistance(CIP),       ci_min = sir_confidence_interval(CIP, side = \"min\"),       ci_max = sir_confidence_interval(CIP, side = \"max\"),     ) } #> # A tibble: 3 × 4 #>   ward       cipro_R ci_min ci_max #>   <chr>        <dbl>  <dbl>  <dbl> #> 1 Clinical     0.147 0.124   0.173 #> 2 ICU          0.190 0.155   0.230 #> 3 Outpatient   0.161 0.0932  0.252 if (require(\"dplyr\")) {   # scoped dplyr verbs with antibiotic selectors   # (you could also use across() of course)   example_isolates %>%     group_by(ward) %>%     summarise_at(       c(aminoglycosides(), carbapenems()),       resistance     ) } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> Warning: There was 1 warning in `summarise()`. #> ℹ In argument: `KAN = (function (..., minimum = 30, as_percent = FALSE, #>   only_all_tested = FALSE) ...`. #> ℹ In group 3: `ward = \"Outpatient\"`. #> Caused by warning: #> ! Introducing NA: only 23 results available for KAN in group: ward = #> \"Outpatient\" (minimum = 30). #> # A tibble: 3 × 7 #>   ward         GEN   TOB   AMK   KAN    IPM    MEM #>   <chr>      <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl> #> 1 Clinical   0.229 0.315 0.626     1 0.0498 0.0458 #> 2 ICU        0.290 0.400 0.662     1 0.0862 0.0894 #> 3 Outpatient 0.2   0.368 0.605    NA 0.0541 0.0541 if (require(\"dplyr\")) {   example_isolates %>%     group_by(ward) %>%     summarise(       R = resistance(CIP, as_percent = TRUE),       SI = susceptibility(CIP, as_percent = TRUE),       n1 = count_all(CIP), # the actual total; sum of all three       n2 = n_sir(CIP), # same - analogous to n_distinct       total = n()     ) # NOT the number of tested isolates!    # Calculate co-resistance between amoxicillin/clav acid and gentamicin,   # so we can see that combination therapy does a lot more than mono therapy:   example_isolates %>% susceptibility(AMC) # %SI = 76.3%   example_isolates %>% count_all(AMC) #   n = 1879    example_isolates %>% susceptibility(GEN) # %SI = 75.4%   example_isolates %>% count_all(GEN) #   n = 1855    example_isolates %>% susceptibility(AMC, GEN) # %SI = 94.1%   example_isolates %>% count_all(AMC, GEN) #   n = 1939     # See Details on how `only_all_tested` works. Example:   example_isolates %>%     summarise(       numerator = count_susceptible(AMC, GEN),       denominator = count_all(AMC, GEN),       proportion = susceptibility(AMC, GEN)     )    example_isolates %>%     summarise(       numerator = count_susceptible(AMC, GEN, only_all_tested = TRUE),       denominator = count_all(AMC, GEN, only_all_tested = TRUE),       proportion = susceptibility(AMC, GEN, only_all_tested = TRUE)     )     example_isolates %>%     group_by(ward) %>%     summarise(       cipro_p = susceptibility(CIP, as_percent = TRUE),       cipro_n = count_all(CIP),       genta_p = susceptibility(GEN, as_percent = TRUE),       genta_n = count_all(GEN),       combination_p = susceptibility(CIP, GEN, as_percent = TRUE),       combination_n = count_all(CIP, GEN)     )    # Get proportions S/I/R immediately of all sir columns   example_isolates %>%     select(AMX, CIP) %>%     proportion_df(translate = FALSE)    # It also supports grouping variables   # (use sir_df to also include the count)   example_isolates %>%     select(ward, AMX, CIP) %>%     group_by(ward) %>%     sir_df(translate = FALSE) } #> # A tibble: 12 × 7 #>    ward       antibiotic interpretation value ci_min ci_max isolates #>  * <chr>      <chr>      <ord>          <dbl>  <dbl>  <dbl>    <int> #>  1 Clinical   AMX        SI             0.423 0.389   0.457      357 #>  2 Clinical   AMX        R              0.577 0.543   0.611      487 #>  3 Clinical   CIP        SI             0.853 0.827   0.876      741 #>  4 Clinical   CIP        R              0.147 0.124   0.173      128 #>  5 ICU        AMX        SI             0.369 0.323   0.417      158 #>  6 ICU        AMX        R              0.631 0.583   0.677      270 #>  7 ICU        CIP        SI             0.810 0.770   0.845      362 #>  8 ICU        CIP        R              0.190 0.155   0.230       85 #>  9 Outpatient AMX        SI             0.397 0.288   0.515       31 #> 10 Outpatient AMX        R              0.603 0.485   0.712       47 #> 11 Outpatient CIP        SI             0.839 0.748   0.907       78 #> 12 Outpatient CIP        R              0.161 0.0932  0.252       15 # }"},{"path":"https://msberends.github.io/AMR/reference/random.html","id":null,"dir":"Reference","previous_headings":"","what":"Random MIC Values/Disk Zones/SIR Generation — random","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"functions can used generating random MIC values disk diffusion diameters, AMR data analysis practice. providing microorganism antimicrobial drug, generated results reflect reality much possible.","code":""},{"path":"https://msberends.github.io/AMR/reference/random.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"","code":"random_mic(size = NULL, mo = NULL, ab = NULL, ...)  random_disk(size = NULL, mo = NULL, ab = NULL, ...)  random_sir(size = NULL, prob_SIR = c(0.33, 0.33, 0.33), ...)"},{"path":"https://msberends.github.io/AMR/reference/random.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"size desired size returned vector. used data.frame call dplyr verb, get current (group) size left blank. mo character can coerced valid microorganism code .mo() ab character can coerced valid antimicrobial drug code .ab() ... ignored, place allow future extensions prob_SIR vector length 3: probabilities \"S\" (1st value), \"\" (2nd value) \"R\" (3rd value)","code":""},{"path":"https://msberends.github.io/AMR/reference/random.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"class mic random_mic() (see .mic()) class disk random_disk() (see .disk())","code":""},{"path":"https://msberends.github.io/AMR/reference/random.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"base R function sample() used generating values. Generated values based EUCAST 2023 guideline implemented clinical_breakpoints data set. create specific generated values per bug drug, set mo /ab argument.","code":""},{"path":"https://msberends.github.io/AMR/reference/random.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"","code":"random_mic(25) #> Class 'mic' #>  [1] 16     64     256    0.002  1      0.001  64     0.25   1      16     #> [11] 0.5    8      8      0.0625 1      0.5    0.025  256    256    1      #> [21] 0.01   1      64     32     4      random_disk(25) #> Class 'disk' #>  [1] 49 47 14 33 49 43 41 41 43 31 20 43 42 11 18 42  8 42 16 25 42  8 15 30 29 random_sir(25) #> Class 'sir' #>  [1] I S S I S I I S R S S I I S S I I S I R S S R I S  # \\donttest{ # make the random generation more realistic by setting a bug and/or drug: random_mic(25, \"Klebsiella pneumoniae\") # range 0.0625-64 #> Class 'mic' #>  [1] 64     0.025  2      0.25   32     64     0.002  32     0.01   0.001  #> [11] 0.25   0.125  0.0625 64     128    0.002  128    128    1      0.002  #> [21] 1      0.005  0.001  4      0.001  random_mic(25, \"Klebsiella pneumoniae\", \"meropenem\") # range 0.0625-16 #> Class 'mic' #>  [1] 1    2    1    >=16 8    1    >=16 >=16 2    1    2    1    1    8    4    #> [16] 1    1    4    2    >=16 >=16 2    4    2    1    random_mic(25, \"Streptococcus pneumoniae\", \"meropenem\") # range 0.0625-4 #> Class 'mic' #>  [1] 2     0.25  >=8   >=8   0.5   1     1     0.125 0.25  1     2     1     #> [13] 0.25  >=8   0.25  2     1     1     >=8   0.125 0.5   >=8   0.125 0.25  #> [25] 0.25   random_disk(25, \"Klebsiella pneumoniae\") # range 8-50 #> Class 'disk' #>  [1] 45 49 24 46 23 18 15 17 17 28 40 20 21 43 39  9 33 17  8 20 30 21 44 48 41 random_disk(25, \"Klebsiella pneumoniae\", \"ampicillin\") # range 11-17 #> Class 'disk' #>  [1] 13 15 11 14 16 16 11 15 11 17 14 15 17 17 16 16 16 12 14 12 15 13 13 13 16 random_disk(25, \"Streptococcus pneumoniae\", \"ampicillin\") # range 12-27 #> Class 'disk' #>  [1] 22 23 19 19 23 15 23 18 21 24 22 25 19 19 16 17 17 16 27 21 27 25 15 21 27 # }"},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict Antimicrobial Resistance — resistance_predict","title":"Predict Antimicrobial Resistance — resistance_predict","text":"Create prediction model predict antimicrobial resistance next years statistical solid ground. Standard errors (SE) returned columns se_min se_max. See Examples real live example.","code":""},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict Antimicrobial Resistance — resistance_predict","text":"","code":"resistance_predict(   x,   col_ab,   col_date = NULL,   year_min = NULL,   year_max = NULL,   year_every = 1,   minimum = 30,   model = NULL,   I_as_S = TRUE,   preserve_measurements = TRUE,   info = interactive(),   ... )  sir_predict(   x,   col_ab,   col_date = NULL,   year_min = NULL,   year_max = NULL,   year_every = 1,   minimum = 30,   model = NULL,   I_as_S = TRUE,   preserve_measurements = TRUE,   info = interactive(),   ... )  # S3 method for resistance_predict plot(x, main = paste(\"Resistance Prediction of\", x_name), ...)  ggplot_sir_predict(   x,   main = paste(\"Resistance Prediction of\", x_name),   ribbon = TRUE,   ... )  # S3 method for resistance_predict autoplot(   object,   main = paste(\"Resistance Prediction of\", x_name),   ribbon = TRUE,   ... )"},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict Antimicrobial Resistance — resistance_predict","text":"x data.frame containing isolates. Can left blank automatic determination, see Examples. col_ab column name x containing antimicrobial interpretations (\"R\", \"\" \"S\") col_date column name date, used calculate years column consist years already - default first column date class year_min lowest year use prediction model, dafaults lowest year col_date year_max highest year use prediction model - default 10 years today year_every unit sequence lowest year found data year_max minimum minimal amount available isolates per year include. Years containing less observations estimated model. model statistical model choice. generalised linear regression model binomial distribution (.e. using glm(..., family = binomial), assuming period zero resistance followed period increasing resistance leading slowly resistance. See Details valid options. I_as_S logical indicate whether values \"\" treated \"S\" (otherwise treated \"R\"). default, TRUE, follows redefinition EUCAST interpretation (increased exposure) 2019, see section Interpretation S, R . preserve_measurements logical indicate whether predictions years actually available data overwritten original data. standard errors years NA. info logical indicate whether textual analysis printed name summary() statistical model. ... arguments passed functions main title plot ribbon logical indicate whether ribbon shown (default) error bars object model data plotted","code":""},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Predict Antimicrobial Resistance — resistance_predict","text":"data.frame extra class resistance_predict columns: year value, estimated preserve_measurements = FALSE, combination observed estimated otherwise se_min, lower bound standard error minimum 0 (standard error never go 0%) se_max upper bound standard error maximum 1 (standard error never go 100%) observations, total number available observations year, .e. \\(S + + R\\) observed, original observed resistant percentages estimated, estimated resistant percentages, calculated model Furthermore, model available attribute: attributes(x)$model, see Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Predict Antimicrobial Resistance — resistance_predict","text":"Valid options statistical model (argument model) : \"binomial\" \"binom\" \"logit\": generalised linear regression model binomial distribution \"loglin\" \"poisson\": generalised log-linear regression model poisson distribution \"lin\" \"linear\": linear regression model","code":""},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"interpretation-of-sir","dir":"Reference","previous_headings":"","what":"Interpretation of SIR","title":"Predict Antimicrobial Resistance — resistance_predict","text":"2019, European Committee Antimicrobial Susceptibility Testing (EUCAST) decided change definitions susceptibility testing categories S, , R shown (https://www.eucast.org/newsiandr): S - Susceptible, standard dosing regimen microorganism categorised \"Susceptible, standard dosing regimen\", high likelihood therapeutic success using standard dosing regimen agent. - Susceptible, increased exposure  microorganism categorised \"Susceptible, Increased exposure\" high likelihood therapeutic success exposure agent increased adjusting dosing regimen concentration site infection. R = Resistant microorganism categorised \"Resistant\" high likelihood therapeutic failure even increased exposure. Exposure function mode administration, dose, dosing interval, infusion time, well distribution excretion antimicrobial agent influence infecting organism site infection. AMR package honours insight. Use susceptibility() (equal proportion_SI()) determine antimicrobial susceptibility count_susceptible() (equal count_SI()) count susceptible isolates.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Predict Antimicrobial Resistance — resistance_predict","text":"","code":"x <- resistance_predict(example_isolates,   col_ab = \"AMX\",   year_min = 2010,   model = \"binomial\" ) plot(x)  # \\donttest{ if (require(\"ggplot2\")) {   ggplot_sir_predict(x) }   # using dplyr: if (require(\"dplyr\")) {   x <- example_isolates %>%     filter_first_isolate() %>%     filter(mo_genus(mo) == \"Staphylococcus\") %>%     resistance_predict(\"PEN\", model = \"binomial\")   print(plot(x))    # get the model from the object   mymodel <- attributes(x)$model   summary(mymodel) }  #> NULL #>  #> Call: #> glm(formula = df_matrix ~ year, family = binomial) #>  #> Coefficients: #>             Estimate Std. Error z value Pr(>|z|) #> (Intercept) 27.05312   72.24652   0.374    0.708 #> year        -0.01286    0.03601  -0.357    0.721 #>  #> (Dispersion parameter for binomial family taken to be 1) #>  #>     Null deviance: 5.7883  on 11  degrees of freedom #> Residual deviance: 5.6608  on 10  degrees of freedom #> AIC: 50.745 #>  #> Number of Fisher Scoring iterations: 4 #>   # create nice plots with ggplot2 yourself if (require(\"dplyr\") && require(\"ggplot2\")) {   data <- example_isolates %>%     filter(mo == as.mo(\"E. coli\")) %>%     resistance_predict(       col_ab = \"AMX\",       col_date = \"date\",       model = \"binomial\",       info = FALSE,       minimum = 15     )   head(data)   autoplot(data) }  # }"},{"path":"https://msberends.github.io/AMR/reference/skewness.html","id":null,"dir":"Reference","previous_headings":"","what":"Skewness of the Sample — skewness","title":"Skewness of the Sample — skewness","text":"Skewness measure asymmetry probability distribution real-valued random variable mean. negative ('left-skewed'): left tail longer; mass distribution concentrated right histogram. positive ('right-skewed'): right tail longer; mass distribution concentrated left histogram. normal distribution skewness 0.","code":""},{"path":"https://msberends.github.io/AMR/reference/skewness.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Skewness of the Sample — skewness","text":"","code":"skewness(x, na.rm = FALSE)  # S3 method for default skewness(x, na.rm = FALSE)  # S3 method for matrix skewness(x, na.rm = FALSE)  # S3 method for data.frame skewness(x, na.rm = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/skewness.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Skewness of the Sample — skewness","text":"x vector values, matrix data.frame na.rm logical value indicating whether NA values stripped computation proceeds","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/skewness.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Skewness of the Sample — skewness","text":"","code":"skewness(runif(1000)) #> [1] -0.03310027"},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":null,"dir":"Reference","previous_headings":"","what":"Translate Strings from the AMR Package — translate","title":"Translate Strings from the AMR Package — translate","text":"language-dependent output AMR functions, mo_name(), mo_gramstain(), mo_type() ab_name().","code":""},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Translate Strings from the AMR Package — translate","text":"","code":"get_AMR_locale()  set_AMR_locale(language)  reset_AMR_locale()  translate_AMR(x, language = get_AMR_locale())"},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Translate Strings from the AMR Package — translate","text":"language language choose. Use one supported language names ISO-639-1 codes: English (en), Chinese (zh), Czech (cs), Danish (da), Dutch (nl), Finnish (fi), French (fr), German (de), Greek (el), Italian (), Japanese (ja), Norwegian (), Polish (pl), Portuguese (pt), Romanian (ro), Russian (ru), Spanish (es), Swedish (sv), Turkish (tr), Ukrainian (uk). x text translate","code":""},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Translate Strings from the AMR Package — translate","text":"currently 20 supported languages English (en), Chinese (zh), Czech (cs), Danish (da), Dutch (nl), Finnish (fi), French (fr), German (de), Greek (el), Italian (), Japanese (ja), Norwegian (), Polish (pl), Portuguese (pt), Romanian (ro), Russian (ru), Spanish (es), Swedish (sv), Turkish (tr), Ukrainian (uk). languages translations available antimicrobial drugs colloquial microorganism names. permanently silence -per-session language note non-English operating system, can set package option AMR_locale .Rprofile file like :   save file. Please read adding updating language Wiki.","code":"# Open .Rprofile file utils::file.edit(\"~/.Rprofile\")  # Then add e.g. Italian support to that file using: options(AMR_locale = \"Italian\")"},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":"changing-the-default-language","dir":"Reference","previous_headings":"","what":"Changing the Default Language","title":"Translate Strings from the AMR Package — translate","text":"system language used default (returned Sys.getenv(\"LANG\") , LANG set, Sys.getlocale(\"LC_COLLATE\")), language supported. language used can overwritten two ways checked order: Setting package option AMR_locale, either using e.g. set_AMR_locale(\"German\") running e.g. options(AMR_locale = \"German\"). Note setting R option works session. Save command options(AMR_locale = \"(language)\") .Rprofile file apply every session. Run utils::file.edit(\"~/.Rprofile\") edit .Rprofile file. Setting system variable LANGUAGE LANG, e.g. adding LANGUAGE=\"de_DE.utf8\" .Renviron file home directory. Thus, package option AMR_locale set, system variables LANGUAGE LANG ignored.","code":""},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Translate Strings from the AMR Package — translate","text":"","code":"# Current settings (based on system language) ab_name(\"Ciprofloxacin\") #> [1] \"Ciprofloxacin\" mo_name(\"Coagulase-negative Staphylococcus (CoNS)\") #> [1] \"Coagulase-negative Staphylococcus (CoNS)\"  # setting another language set_AMR_locale(\"Dutch\") #> ℹ Using Dutch (Nederlands) for the AMR package for this session. ab_name(\"Ciprofloxacin\") #> [1] \"Ciprofloxacine\" mo_name(\"Coagulase-negative Staphylococcus (CoNS)\") #> [1] \"Coagulase-negatieve Staphylococcus (CNS)\"  # setting yet another language set_AMR_locale(\"German\") #> ℹ Using German (Deutsch) for the AMR package for this session. ab_name(\"Ciprofloxacin\") #> [1] \"Ciprofloxacin\" mo_name(\"Coagulase-negative Staphylococcus (CoNS)\") #> [1] \"Koagulase-negative Staphylococcus (KNS)\"  # set_AMR_locale() understands endonyms, English exonyms, and ISO-639-1: set_AMR_locale(\"Deutsch\") #> ℹ Using German (Deutsch) for the AMR package for this session. set_AMR_locale(\"German\") #> ℹ Using German (Deutsch) for the AMR package for this session. set_AMR_locale(\"de\") #> ℹ Using German (Deutsch) for the AMR package for this session. ab_name(\"amox/clav\") #> ℹ More than one result was found for item 1: amoxicillin and clavulansäure #> [1] \"Amoxicillin/Clavulansäure\"  # reset to system default reset_AMR_locale() #> ℹ Using the English language (English) for the AMR package for this #>   session. ab_name(\"amox/clav\") #> [1] \"Amoxicillin/clavulanic acid\""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"amr-2119012","dir":"Changelog","previous_headings":"","what":"AMR 2.1.1.9012","title":"AMR 2.1.1.9012","text":"(beta version eventually become v3.0. ’re happy reach new major milestone soon, new One Health support!)","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9012","dir":"Changelog","previous_headings":"","what":"A New Milestone: One Health Support (= Human + Veterinary + Environmental)","title":"AMR 2.1.1.9012","text":"package now supports tools AMR data analysis clinical settings, also veterinary environmental microbiology. made possible collaboration University Prince Edward Island, Canada. celebrate great improvement package, also updated package logo reflect change.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"breaking-2-1-1-9012","dir":"Changelog","previous_headings":"","what":"Breaking","title":"AMR 2.1.1.9012","text":"Removed functions references used deprecated rsi class, replaced sir equivalents year ago","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"new-2-1-1-9012","dir":"Changelog","previous_headings":"","what":"New","title":"AMR 2.1.1.9012","text":"function group scale_*_mic(), namely: scale_x_mic(), scale_y_mic(), scale_colour_mic() scale_fill_mic(). advanced ggplot2 extensions allow easy plotting MIC values. allow manual range definition plotting missing intermediate log2 levels. Function limit_mic_range(), allows limit MIC values manually set range. powerhouse behind scale_*_mic() functions, can used users directly e.g. compare equality MIC distributions rescaling range first. Function .sir() now supports animal breakpoints CLSI. Use breakpoint_type = \"animal\" set host argument variable contains animal species names. clinical_breakpoints data set contains breakpoints, can downloaded download page. antibiotics data set contains veterinary antibiotics, pradofloxacin enrofloxacin. WHOCC codes veterinary use added well. ab_atc() now supports ATC codes veterinary antibiotics (start “Q”) ab_url() now supports retrieving WHOCC url ATCvet pages","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"changed-2-1-1-9012","dir":"Changelog","previous_headings":"","what":"Changed","title":"AMR 2.1.1.9012","text":"Added valid levels: 4096, 6 powers 0.0625, 5 powers 192 (192, 384, 576, 768, 960) Added new argument keep_operators .mic(). can \"\" (default), \"none\", \"edges\". argument also available new limit_mic_range() scale_*_mic() functions. Updated italicise_taxonomy() support HTML Greatly improved vctrs integration, Tidyverse package working background many Tidyverse functions. users, means dplyr::rowwise() dplyr::c_across() now supported e.g. columns class mic. Despite , AMR package still zero-dependent package, including dplyr vctrs. Updated ATC codes WHOCC Updated antibiotic DDDs WHOCC","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"other-2-1-1-9012","dir":"Changelog","previous_headings":"","what":"Other","title":"AMR 2.1.1.9012","text":"Added Jordan Stull, Matthew Saab, Javier Sanchez contributors, thank valuable input","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"amr-211","dir":"Changelog","previous_headings":"","what":"AMR 2.1.1","title":"AMR 2.1.1","text":"CRAN release: 2023-10-21 included many isolates patients altering antibiograms within bacterial species See info issue #122 Added 1,366 LOINC codes antibiotics data set updated latest version (LOINC v2.76) MICs can now used complex number calculations allow scientific number format input (e.g., .mic(\"1.28e-2\")) Fix rounding MICs latest R beta (‘R-devel’) Removed unneeded note used language option AMR_locale set Fixed non-ASCII characters documentation, according CRAN maintainers","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"amr-210","dir":"Changelog","previous_headings":"","what":"AMR 2.1.0","title":"AMR 2.1.0","text":"CRAN release: 2023-07-16","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"new-2-1-0","dir":"Changelog","previous_headings":"","what":"New","title":"AMR 2.1.0","text":"Clinical breakpoints intrinsic resistance EUCAST 2023 CLSI 2023 added clinical_breakpoints data set usage .sir(). EUCAST 2023 (v13.0) now new default guideline MIC disks diffusion interpretations EUCAST dosage guideline v13.0 added dosage data set clinical_breakpoints data set now also contains epidemiological cut-(ECOFF) values CLSI animal breakpoints. two new breakpoint types can used MIC/disk interpretation using .sir(..., breakpoint_type = \"ECOFF\") oras.sir(..., breakpoint_type = \"animal\"), important new addition veterinary microbiology. Added support 30 species groups / complexes. gathered new data set microorganisms.groups used clinical breakpoint interpretation. example, CLSI 2023 contains breakpoints RGM group (Rapidly Growing Mycobacterium, containing 80 species) now supported package. Added mo_oxygen_tolerance() retrieve values Added mo_is_anaerobic() determine genera/species obligate anaerobic bacteria Added LPSN GBIF identifiers, oxygen tolerance mo_info() Added SAS Transport files (file extension .xpt) download page use SAS software Added microbial codes Gram-negative/positive anaerobic bacteria","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"changed-2-1-0","dir":"Changelog","previous_headings":"","what":"Changed","title":"AMR 2.1.0","text":"Updated algorithm .mo() giving weight fungi Fixed clinical breakpoints errors introduced source import rules mo_rank() now returns NA ‘unknown’ microorganisms (B_ANAER, B_ANAER-NEG, B_ANAER-POS, B_GRAMN, B_GRAMP, F_FUNGUS, F_YEAST, UNKNOWN) printing microorganism antibiotic codes tibble, mouse-hover now shows full name code Now settable arguments breakpoint type PK/PD, like .sir() now contain name guideline table subtitle plot Fixed formatting sir_interpretation_history() Fixed WHONET codes microorganisms consequently couple entries clinical_breakpoints Fixed bug .mo() led coercion NA values using custom microorganism codes Fixed usage icu_exclude first_isolates() Now allows searching species names Fix using keep_synonyms argument using MO codes input Fix using minimum_matching_score argument Updated code table microorganisms.codes Fixed endless loop using reference_df .mo() Fixed bug indicating UTIs .sir() Greatly improved speed .sir()","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"amr-200","dir":"Changelog","previous_headings":"","what":"AMR 2.0.0","title":"AMR 2.0.0","text":"CRAN release: 2023-03-12 new major release AMR package, great new additions also breaking changes current users. listed . TL;DR functions arguments ‘rsi’ replaced ‘sir’, interpretation MIC values (now .sir() instead .rsi()) - old functions still work now Many new interesting functions, antibiogram() (generating traditional/combined/syndromic/WISCA antibiograms), sir_confidence_interval() mean_amr_distance(), add_custom_microorganisms() add custom microorganisms package Clinical breakpoints added EUCAST 2022 CLSI 2022 Microbiological taxonomy (microorganisms data set) updated 2022 now based LPSN GBIF Much increased algorithms translate user input valid taxonomy, e.g. using recent scientific work per-species human pathogenicity 20 new antibiotics added updated DDDs ATC codes Extended support antiviral agents (antivirals data set), many new functions Now available 20 languages Many small bug fixes","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/news/index.html","id":"sir-vs-rsi-2-0-0","dir":"Changelog","previous_headings":"New","what":"SIR vs. RSI","title":"AMR 2.0.0","text":"milestone version, replaced mentions RSI SIR, comply actually commonly used field clinical microbiology comes tri-form regarding AMR. existing functions .rsi(), rsi_df() ggplot_rsi() still work, replacements .sir(), sir_df(), ggplot_sir() now current functions AMR data analysis. warning thrown session remind users . data set rsi_translation now called clinical_breakpoints better reflect content. ‘RSI functions’ removed future version, late 2023 / early 2024.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"new-antibiogram-function-2-0-0","dir":"Changelog","previous_headings":"New","what":"New antibiogram function","title":"AMR 2.0.0","text":"new antibiogram() function, users can now generate traditional, combined, syndromic, even weighted-incidence syndromic combination antibiograms (WISCA). , follow logic previously described work Klinker et al. (2021, DOI 10.1177/20499361211011373) Barbieri et al. (2021, DOI 10.1186/s13756-021-00939-2). help page antibiogram() extensively elaborates use cases, antibiogram() also supports printing R Markdown Quarto, support 20 languages. Furthermore, different plotting methods implemented allow graphical visualisations well.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"interpretation-of-mic-and-disk-diffusion-values-2-0-0","dir":"Changelog","previous_headings":"New","what":"Interpretation of MIC and disk diffusion values","title":"AMR 2.0.0","text":"clinical breakpoints intrinsic resistance EUCAST 2022 CLSI 2022 added .sir(). EUCAST 2022 (v12.0) now new default guideline MIC disks diffusion interpretations, eucast_rules() apply EUCAST Expert Rules. default guideline (EUCAST) can now changed new AMR_guideline option, : options(AMR_guideline = \"CLSI 2020\"). new arguments include_PKPD (default: TRUE) include_screening (default: FALSE), users can now specify whether breakpoints screening PK/PD table included interpreting MICs disks diffusion values. options can set globally, can read new manual. Interpretation guidelines older 10 years removed, oldest now included guidelines EUCAST CLSI 2013.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"supported-languages-2-0-0","dir":"Changelog","previous_headings":"New","what":"Supported languages","title":"AMR 2.0.0","text":"added support following ten languages: Chinese (simplified), Czech, Finnish, Greek, Japanese, Norwegian (bokmål), Polish, Romanian, Turkish Ukrainian. antibiotic names now available languages, AMR package automatically determine supported language based user’s system language. grateful valuable input colleagues countries. AMR package now available 20 languages total, according download stats used almost countries world!","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"outbreak-management-2-0-0","dir":"Changelog","previous_headings":"New","what":"Outbreak management","title":"AMR 2.0.0","text":"analysis outbreak management, updated get_episode() is_new_episode() functions: now contain argument case_free_days. argument can used quantify duration case-free days (inter-epidemic interval), new episode start. common requirement outbreak management, e.g. determining number norovirus outbreaks hospital. case-free period 14 28 days, new norovirus cases time considered different (new) episode.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"microbiological-taxonomy-2-0-0","dir":"Changelog","previous_headings":"New","what":"Microbiological taxonomy","title":"AMR 2.0.0","text":"microorganisms data set longer relies Catalogue Life, List Prokaryotic names Standing Nomenclature (LPSN) supplemented ‘backbone taxonomy’ Global Biodiversity Information Facility (GBIF). structure data set changed include separate LPSN GBIF identifiers. Almost previous MO codes retained. contains 1,400 taxonomic names 2022. previously relied experience categorise species pathogenic groups, happy encounter recent work Bartlett et al. (2022, DOI 10.1099/mic.0.001269) extensively studied medical-scientific literature categorise bacterial species groups. See mo_matching_score() work incorporated prevalence column microorganisms data set. Using results, .mo() mo_*() functions now much better capable converting user input valid taxonomic records. new function add_custom_microorganisms() allows users add custom microorganisms AMR package. also made following changes regarding included taxonomy microorganisms functions: Updated full microbiological taxonomy according latest daily LPSN data set (December 2022) latest yearly GBIF taxonomy backbone (November 2022) Added function mo_current() get currently valid taxonomic name microorganism Support 1,516 city-like serovars Salmonella, Salmonella Goldcoast. Formally, serovars belonging S. enterica species, reported name genus city. reason, serovars subspecies column microorganisms data set “enterica” species column, full name contain species name (enterica). new argument keep_synonyms allows correct updated taxonomy, favour now deleted argument allow_uncertain increased tremendously speed returns generally consequent results Sequential coercion now extremely fast results stored package environment, although coercion unknown values must run per session. Previous results can reset/removed new mo_reset_session() function. Support microorganism codes ASIan Antimicrobial Resistance Surveillance Network (ASIARS-Net) MO matching score algorithm (mo_matching_score()) now counts deletions substitutions 2 instead 1, impacts outcome .mo() mo_*() function CRAN allows packages around 5 MB maximum, packages exempted package one Chromista relevant comes antimicrobial resistance, thus lacking primary scope package Chromista almost never clinically relevant, thus lacking secondary scope package microorganisms.old data set removed, previously accepted names now included microorganisms data set. new column status contains \"accepted\" currently accepted names \"synonym\" taxonomic synonyms; currently invalid names. previously accepted names now microorganisms ID - available - LPSN, GBIF SNOMED CT identifier.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"antibiotic-agents-and-selectors-2-0-0","dir":"Changelog","previous_headings":"New","what":"Antibiotic agents and selectors","title":"AMR 2.0.0","text":"new function add_custom_antimicrobials() allows users add custom antimicrobial codes names AMR package. antibiotics data set greatly updated: following 20 antibiotics added (also includes new J01RA ATC group): azithromycin/fluconazole/secnidazole (AFC), cefepime/amikacin (CFA), cefixime/ornidazole (CEO), ceftriaxone/beta-lactamase inhibitor (CEB), ciprofloxacin/metronidazole (CIM), ciprofloxacin/ornidazole (CIO), ciprofloxacin/tinidazole (CIT), furazidin (FUR), isoniazid/sulfamethoxazole/trimethoprim/pyridoxine (IST), lascufloxacin (LSC), levofloxacin/ornidazole (LEO), nemonoxacin (NEM), norfloxacin/metronidazole (NME), norfloxacin/tinidazole (NTI), ofloxacin/ornidazole (OOR), oteseconazole (OTE), rifampicin/ethambutol/isoniazid (REI), sarecycline (SRC), tetracycline/oleandomycin (TOL), thioacetazone (TAT) Added missing ATC codes Updated DDDs PubChem Compound IDs Updated antibiotic name spelling, now used WHOCC (cephalexin -> cefalexin, phenethicillin -> pheneticillin) Antibiotic code “CEI” ceftolozane/tazobactam replaced “CZT” comply EARS-Net WHONET 2022. old code still work cases using .ab() ab_*() functions. Support antimicrobial interpretation anaerobic bacteria, adding ‘placeholder’ code B_ANAER microorganisms data set adding breakpoints anaerobics clinical_breakpoints data set, used .sir() interpretion MIC disk diffusion values Also, added support using antibiotic selectors scoped dplyr verbs (without using vars()), : ... %>% summarise_at(aminoglycosides(), resistance), please see resistance() examples.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"antiviral-agents-2-0-0","dir":"Changelog","previous_headings":"New","what":"Antiviral agents","title":"AMR 2.0.0","text":"now added extensive support antiviral agents! first time, AMR package extensive support antiviral drugs work names, codes data way. antivirals data set extended 18 new drugs (also new J05AJ ATC group) now also contains antiviral identifiers LOINC codes new data type av (antivirals) added, functionally similar ab antibiotics Functions .av(), av_name(), av_atc(), av_synonyms(), av_from_text() added siblings ab_*() equivalents","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"other-new-functions-2-0-0","dir":"Changelog","previous_headings":"New","what":"Other new functions","title":"AMR 2.0.0","text":"Function sir_confidence_interval() add confidence intervals AMR calculation. now also included sir_df() proportion_df(). Function mean_amr_distance() calculate mean AMR distance. mean AMR distance normalised numeric value compare AMR test results can help identify similar isolates, without comparing antibiograms hand. Function sir_interpretation_history() view history previous runs .sir() (previously .rsi()). returns ‘logbook’ selected guideline, reference table specific interpretation row data set .sir() run.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"changes-2-0-0","dir":"Changelog","previous_headings":"","what":"Changes","title":"AMR 2.0.0","text":"Fix working NA values Fix unsorted dates length 2 Now returns class integer instead numeric since always whole numbers Argument combine_IR removed package (affecting functions count_df(), proportion_df(), sir_df() plotting functions), since replaced combine_SI three years ago Using units ab_ddd(..., units = \"...\") deprecated time now supported anymore. Use ab_ddd_units() instead. Support data.frame-enhancing R packages, specifically: data.table::data.table, janitor::tabyl, tibble::tibble, tsibble::tsibble. AMR package functions data set output (sir_df() bug_drug_combinations()), now return data type input. data sets package now tibble, instead base R data.frames. Older R versions still supported, even support tibbles. data sets now also continually exported Apache Feather Apache Parquet formats. can find info article website. Fixed certain EUCAST breakpoints MIC values Allow NA values (e.g. .sir(.disk(NA), ...)) Fix bug-drug combinations multiple breakpoints different body sites Interpretation MIC disk zones now informative availability breakpoints robust Removed .integer() method MIC values, since MIC integer values running table() MIC values consequently failed able retrieve level position (’s normally .integer() factors work) Fixed determination Gram stains (mo_gramstain()), since taxonomic phyla Actinobacteria, Chloroflexi, Firmicutes, Tenericutes renamed respectively Actinomycetota, Chloroflexota, Bacillota, Mycoplasmatota 2021 droplevels() MIC now return common factor default lose mic class. Use droplevels(..., .mic = TRUE) keep mic class. Small fix using ab_from_text() Fixes reading text files using set_mo_source(), now also allows source file contain valid taxonomic names instead valid microorganism ID package Fixed bug mdro() using similar column names Magiorakos guideline Using random_*() function (random_mic()) now possible directly calling package without loading first: AMR::random_mic(10) Extended support vctrs package, used internally tidyverse. allows change values class mic, disk, sir, mo ab tibbles, use antibiotic selectors selecting/filtering, e.g. df[carbapenems() == \"R\", ] Fix using info = FALSE mdro() interpretation guidelines using .sir() amoxicillin, rules ampicillin used amoxicillin rules available Fix using ab_atc() non-existing ATC codes Black white message texts now reversed colour using RStudio dark theme mo_snomed() now returns class character, numeric anymore (make long SNOMED codes readable) Fix using .ab() NA values Updated support WHONET 2022 microorganism codes Antimicrobial interpretation ‘SDD’ (susceptible dose-dependent, coined CLSI) interpreted ‘’ comply EUCAST’s ‘’ .sir() Fix mo_shortname() case higher taxonomic ranks (order, class, phylum) Cleaning columns .sir(), .mic(), .disk() now show column name warning invalid results Fix using g.test() zeroes 2x2 table mo_synonyns() now contains scientific reference names","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"other-2-0-0","dir":"Changelog","previous_headings":"","what":"Other","title":"AMR 2.0.0","text":"Added Peter Dutey-Magni, Dmytro Mykhailenko, Anton Mymrikov, Andrew Norgan, Jonas Salm, Anita Williams contributors, thank valuable input New website make use new Bootstrap 5 pkgdown 2.0. website now contains results examples automatically regenerated every change repository, using GitHub Actions R Rmd files project now styled using styler package Set scalar conditional expressions (&& ||) possible comply upcoming R 4.3 enormous lot code cleaning, fixing small bugs along way changelog contains changes AMR v2.0 (January 2023) later. prior versions, please see archive.","code":""}]
+[{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to conduct AMR data analysis","text":"Conducting AMR data analysis unfortunately requires -depth knowledge different scientific fields, makes hard right. least, requires: Good questions (always start !) reliable data thorough understanding (clinical) epidemiology, understand clinical epidemiological relevance possible bias results thorough understanding (clinical) microbiology/infectious diseases, understand microorganisms causal infections implications pharmaceutical treatment, well understanding intrinsic acquired microbial resistance Experience data analysis microbiological tests results, understand determination limitations MIC values interpretations SIR values Availability biological taxonomy microorganisms probably normalisation factors pharmaceuticals, defined daily doses (DDD) Available (inter-)national guidelines, profound methods apply course, instantly provide knowledge experience. AMR package, aimed providing (1) tools simplify antimicrobial resistance data cleaning, transformation analysis, (2) methods easily incorporate international guidelines (3) scientifically reliable reference data, including requirements mentioned . AMR package enables standardised reproducible AMR data analysis, application evidence-based rules, determination first isolates, translation various codes microorganisms antimicrobial agents, determination (multi-drug) resistant microorganisms, calculation antimicrobial resistance, prevalence future trends.","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to conduct AMR data analysis","text":"tutorial, create fake demonstration data work . can skip Cleaning data already data ready. start analysis, try make structure data generally look like :","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"How to conduct AMR data analysis","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2 RStudio. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. also use cleaner package, can used cleaning data creating frequency tables. AMR package contains data set example_isolates_unclean, might look data users extracted laboratory systems: AMR data analysis, like microorganism column contain valid, --date taxonomy, antibiotic columns cleaned SIR values well.","code":"library(dplyr) library(ggplot2) library(AMR)  # (if not yet installed, install with:) # install.packages(c(\"dplyr\", \"ggplot2\", \"AMR\")) example_isolates_unclean #> # A tibble: 3,000 × 8 #>    patient_id hospital date       bacteria      AMX   AMC   CIP   GEN   #>    <chr>      <chr>    <date>     <chr>         <chr> <chr> <chr> <chr> #>  1 J3         A        2012-11-21 E. coli       R     I     S     S     #>  2 R7         A        2018-04-03 K. pneumoniae R     I     S     S     #>  3 P3         A        2014-09-19 E. coli       R     S     S     S     #>  4 P10        A        2015-12-10 E. coli       S     I     S     S     #>  5 B7         A        2015-03-02 E. coli       S     S     S     S     #>  6 W3         A        2018-03-31 S. aureus     R     S     R     S     #>  7 J8         A        2016-06-14 E. coli       R     S     S     S     #>  8 M3         A        2015-10-25 E. coli       R     S     S     S     #>  9 J3         A        2019-06-19 E. coli       S     S     S     S     #> 10 G6         A        2015-04-27 S. aureus     S     S     S     S     #> # ℹ 2,990 more rows  # we will use 'our_data' as the data set name for this tutorial our_data <- example_isolates_unclean"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"taxonomy-of-microorganisms","dir":"Articles","previous_headings":"Preparation","what":"Taxonomy of microorganisms","title":"How to conduct AMR data analysis","text":".mo(), users can transform arbitrary microorganism names codes current taxonomy. AMR package contains --date taxonomic data. specific, currently included data retrieved 11 Dec 2022. codes AMR packages come .mo() short, still human readable. importantly, .mo() supports kinds input: first character codes denote taxonomic kingdom, Bacteria (B), Fungi (F), Protozoa (P). AMR package also contain functions directly retrieve taxonomic properties, name, genus, species, family, order, even Gram-stain. start mo_ use .mo() internally, still arbitrary user input can used: Now can thus clean data: Apparently, uncertainty translation taxonomic codes. Let’s check : ’s good.","code":"as.mo(\"Klebsiella pneumoniae\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"K. pneumoniae\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"KLEPNE\") #> Class 'mo' #> [1] B_KLBSL_PNMN as.mo(\"KLPN\") #> Class 'mo' #> [1] B_KLBSL_PNMN mo_family(\"K. pneumoniae\") #> [1] \"Enterobacteriaceae\" mo_genus(\"K. pneumoniae\") #> [1] \"Klebsiella\" mo_species(\"K. pneumoniae\") #> [1] \"pneumoniae\"  mo_gramstain(\"Klebsiella pneumoniae\") #> [1] \"Gram-negative\"  mo_ref(\"K. pneumoniae\") #> [1] \"Trevisan, 1887\"  mo_snomed(\"K. pneumoniae\") #> [[1]] #> [1] \"1098101000112102\" \"446870005\"        \"1098201000112108\" \"409801009\"        #> [5] \"56415008\"         \"714315002\"        \"713926009\" our_data$bacteria <- as.mo(our_data$bacteria, info = TRUE) #> ℹ Microorganism translation was uncertain for four microorganisms. Run #>   mo_uncertainties() to review these uncertainties, or use #>   add_custom_microorganisms() to add custom entries. mo_uncertainties() #> Matching scores are based on the resemblance between the input and the full #> taxonomic name, and the pathogenicity in humans. See ?mo_matching_score. #>  #> -------------------------------------------------------------------------------- #> \"E. coli\" -> Escherichia coli (B_ESCHR_COLI, 0.688) #> Also matched: Enterobacter cowanii (0.600), Eubacterium combesii #>               (0.600), Eggerthia catenaformis (0.591), Eubacterium callanderi #>               (0.591), Enterocloster citroniae (0.587), Eubacterium cylindroides #>               (0.583), Enterococcus casseliflavus (0.577), Enterobacter cloacae #>               cloacae (0.571), Enterobacter cloacae complex (0.571), and Ehrlichia #>               canis (0.567) #> -------------------------------------------------------------------------------- #> \"K. pneumoniae\" -> Klebsiella pneumoniae (B_KLBSL_PNMN, 0.786) #> Also matched: Klebsiella pneumoniae ozaenae (0.707), Klebsiella #>               pneumoniae pneumoniae (0.688), Klebsiella pneumoniae rhinoscleromatis #>               (0.658), Klebsiella pasteurii (0.500), Klebsiella planticola (0.500), #>               Kingella potus (0.400), Kosakonia pseudosacchari (0.361), Kaistella #>               palustris (0.333), Kocuria palustris (0.333), and Kocuria pelophila #>               (0.333) #> -------------------------------------------------------------------------------- #> \"S. aureus\" -> Staphylococcus aureus (B_STPHY_AURS, 0.690) #> Also matched: Staphylococcus aureus aureus (0.643), Staphylococcus #>               argenteus (0.625), Staphylococcus aureus anaerobius (0.625), Salmonella #>               Aurelianis (0.595), Salmonella Aarhus (0.588), Salmonella Amounderness #>               (0.587), Selenomonas artemidis (0.571), Salmonella choleraesuis #>               arizonae (0.562), Streptococcus anginosus anginosus (0.561), and #>               Salmonella Abaetetuba (0.548) #> -------------------------------------------------------------------------------- #> \"S. pneumoniae\" -> Streptococcus pneumoniae (B_STRPT_PNMN, 0.750) #> Also matched: Streptococcus pseudopneumoniae (0.700), Serratia #>               proteamaculans quinovora (0.545), Streptococcus pseudoporcinus (0.536), #>               Staphylococcus pseudintermedius (0.532), Serratia proteamaculans #>               proteamaculans (0.526), Salmonella Portanigra (0.524), Sphingomonas #>               paucimobilis (0.520), Streptococcus pluranimalium (0.519), #>               Streptococcus constellatus pharyngis (0.514), and Salmonella Pakistan #>               (0.500) #>  #> Only the first 10 other matches of each record are shown. Run #> print(mo_uncertainties(), n = ...) to view more entries, or save #> mo_uncertainties() to an object."},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"antibiotic-results","dir":"Articles","previous_headings":"Preparation","what":"Antibiotic results","title":"How to conduct AMR data analysis","text":"column antibiotic test results must also cleaned. AMR package comes three new data types work test results: mic minimal inhibitory concentrations (MIC), disk disk diffusion diameters, sir SIR data interpreted already. package can also determine SIR values based MIC disk diffusion values, read .sir() page. now, just clean SIR columns data using dplyr: basically cleaning, time start data inclusion.","code":"# method 1, be explicit about the columns: our_data <- our_data %>%   mutate_at(vars(AMX:GEN), as.sir)  # method 2, let the AMR package determine the eligible columns our_data <- our_data %>%   mutate_if(is_sir_eligible, as.sir)  # result: our_data #> # A tibble: 3,000 × 8 #>    patient_id hospital date       bacteria     AMX   AMC   CIP   GEN   #>    <chr>      <chr>    <date>     <mo>         <sir> <sir> <sir> <sir> #>  1 J3         A        2012-11-21 B_ESCHR_COLI R     I     S     S     #>  2 R7         A        2018-04-03 B_KLBSL_PNMN R     I     S     S     #>  3 P3         A        2014-09-19 B_ESCHR_COLI R     S     S     S     #>  4 P10        A        2015-12-10 B_ESCHR_COLI S     I     S     S     #>  5 B7         A        2015-03-02 B_ESCHR_COLI S     S     S     S     #>  6 W3         A        2018-03-31 B_STPHY_AURS R     S     R     S     #>  7 J8         A        2016-06-14 B_ESCHR_COLI R     S     S     S     #>  8 M3         A        2015-10-25 B_ESCHR_COLI R     S     S     S     #>  9 J3         A        2019-06-19 B_ESCHR_COLI S     S     S     S     #> 10 G6         A        2015-04-27 B_STPHY_AURS S     S     S     S     #> # ℹ 2,990 more rows"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"first-isolates","dir":"Articles","previous_headings":"Preparation","what":"First isolates","title":"How to conduct AMR data analysis","text":"need know isolates can actually use analysis without repetition bias. conduct analysis antimicrobial resistance, must include first isolate every patient per episode (Hindler et al., Clin Infect Dis. 2007). , easily get overestimate underestimate resistance antibiotic. Imagine patient admitted MRSA found 5 different blood cultures following weeks (yes, countries like Netherlands blood drawing policies). resistance percentage oxacillin isolates overestimated, included MRSA . clearly selection bias. Clinical Laboratory Standards Institute (CLSI) appoints follows: (…) preparing cumulative antibiogram guide clinical decisions empirical antimicrobial therapy initial infections, first isolate given species per patient, per analysis period (eg, one year) included, irrespective body site, antimicrobial susceptibility profile, phenotypical characteristics (eg, biotype). first isolate easily identified, cumulative antimicrobial susceptibility test data prepared using first isolate generally comparable cumulative antimicrobial susceptibility test data calculated methods, providing duplicate isolates excluded. M39-A4 Analysis Presentation Cumulative Antimicrobial Susceptibility Test Data, 4th Edition. CLSI, 2014. Chapter 6.4 AMR package includes methodology first_isolate() function able apply four different methods defined Hindler et al. 2007: phenotype-based, episode-based, patient-based, isolate-based. right method depends goals analysis, default phenotype-based method case method properly correct duplicate isolates. Read methods first_isolate() page. outcome function can easily added data: 90% suitable resistance analysis! can now filter filter() function, also dplyr package: future use, two syntaxes can shortened: end 2 712 isolates analysis. Now data looks like: Time analysis.","code":"our_data <- our_data %>%   mutate(first = first_isolate(info = TRUE)) #> ℹ Determining first isolates using an episode length of 365 days #> ℹ Using column 'bacteria' as input for col_mo. #> ℹ Using column 'date' as input for col_date. #> ℹ Using column 'patient_id' as input for col_patient_id. #> ℹ Basing inclusion on all antimicrobial results, using a points threshold #>   of 2 #> => Found 2,712 'phenotype-based' first isolates (90.4% of total where a #>    microbial ID was available) our_data_1st <- our_data %>%   filter(first == TRUE) our_data_1st <- our_data %>%   filter_first_isolate() our_data_1st #> # A tibble: 2,712 × 9 #>    patient_id hospital date       bacteria     AMX   AMC   CIP   GEN   first #>    <chr>      <chr>    <date>     <mo>         <sir> <sir> <sir> <sir> <lgl> #>  1 J3         A        2012-11-21 B_ESCHR_COLI R     I     S     S     TRUE  #>  2 R7         A        2018-04-03 B_KLBSL_PNMN R     I     S     S     TRUE  #>  3 P10        A        2015-12-10 B_ESCHR_COLI S     I     S     S     TRUE  #>  4 B7         A        2015-03-02 B_ESCHR_COLI S     S     S     S     TRUE  #>  5 W3         A        2018-03-31 B_STPHY_AURS R     S     R     S     TRUE  #>  6 M3         A        2015-10-25 B_ESCHR_COLI R     S     S     S     TRUE  #>  7 J3         A        2019-06-19 B_ESCHR_COLI S     S     S     S     TRUE  #>  8 G6         A        2015-04-27 B_STPHY_AURS S     S     S     S     TRUE  #>  9 P4         A        2011-06-21 B_ESCHR_COLI S     S     S     S     TRUE  #> 10 Z1         A        2014-09-05 B_ESCHR_COLI S     S     S     S     TRUE  #> # ℹ 2,702 more rows"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"analysing-the-data","dir":"Articles","previous_headings":"","what":"Analysing the data","title":"How to conduct AMR data analysis","text":"base R summary() function gives good first impression, comes support new mo sir classes now data set:","code":"summary(our_data_1st) #>   patient_id          hospital              date            #>  Length:2712        Length:2712        Min.   :2011-01-01   #>  Class :character   Class :character   1st Qu.:2013-05-03   #>  Mode  :character   Mode  :character   Median :2015-06-16   #>                                        Mean   :2015-06-21   #>                                        3rd Qu.:2017-08-24   #>                                        Max.   :2019-12-27   #>    bacteria               AMX                    AMC                 #>  Class :mo             Class:sir              Class:sir              #>  <NA>  :0              %R   :42.9% (n=1163)   %R   :36.1% (n=978)    #>  Unique:4              %SI  :57.1% (n=1549)   %SI  :63.9% (n=1734)   #>  #1    :B_ESCHR_COLI   - %S :41.0% (n=1112)   - %S :52.0% (n=1409)   #>  #2    :B_STPHY_AURS   - %I :16.1% (n=437)    - %I :12.0% (n=325)    #>  #3    :B_STRPT_PNMN                                                 #>     CIP                    GEN                  first         #>  Class:sir              Class:sir              Mode:logical   #>  %R   :42.0% (n=1138)   %R   :37.3% (n=1011)   TRUE:2712      #>  %SI  :58.0% (n=1574)   %SI  :62.7% (n=1701)                  #>  - %S :51.5% (n=1396)   - %S :59.6% (n=1616)                  #>  - %I : 6.6% (n=178)    - %I : 3.1% (n=85)                    #>   glimpse(our_data_1st) #> Rows: 2,712 #> Columns: 9 #> $ patient_id <chr> \"J3\", \"R7\", \"P10\", \"B7\", \"W3\", \"M3\", \"J3\", \"G6\", \"P4\", \"Z1\"… #> $ hospital   <chr> \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\", \"A\",… #> $ date       <date> 2012-11-21, 2018-04-03, 2015-12-10, 2015-03-02, 2018-03-31… #> $ bacteria   <mo> \"B_ESCHR_COLI\", \"B_KLBSL_PNMN\", \"B_ESCHR_COLI\", \"B_ESCHR_COL… #> $ AMX        <sir> R, R, S, S, R, R, S, S, S, S, R, S, S, S, R, R, R, R, S, R,… #> $ AMC        <sir> I, I, I, S, S, S, S, S, S, S, S, S, I, S, S, S, S, R, S, S,… #> $ CIP        <sir> S, S, S, S, R, S, S, S, S, S, S, S, S, S, S, S, S, S, S, S,… #> $ GEN        <sir> S, S, S, S, S, S, S, S, S, S, R, S, S, S, S, S, S, S, S, S,… #> $ first      <lgl> TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,…  # number of unique values per column: sapply(our_data_1st, n_distinct) #> patient_id   hospital       date   bacteria        AMX        AMC        CIP  #>        260          3       1852          4          3          3          3  #>        GEN      first  #>          3          1"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"availability-of-species","dir":"Articles","previous_headings":"Analysing the data","what":"Availability of species","title":"How to conduct AMR data analysis","text":"just get idea species distributed, create frequency table count() based name microorganisms:","code":"our_data %>%   count(mo_name(bacteria), sort = TRUE) #> # A tibble: 4 × 2 #>   `mo_name(bacteria)`          n #>   <chr>                    <int> #> 1 Escherichia coli          1518 #> 2 Staphylococcus aureus      730 #> 3 Streptococcus pneumoniae   426 #> 4 Klebsiella pneumoniae      326  our_data_1st %>%   count(mo_name(bacteria), sort = TRUE) #> # A tibble: 4 × 2 #>   `mo_name(bacteria)`          n #>   <chr>                    <int> #> 1 Escherichia coli          1319 #> 2 Staphylococcus aureus      676 #> 3 Streptococcus pneumoniae   400 #> 4 Klebsiella pneumoniae      317"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"select-and-filter-with-antibiotic-selectors","dir":"Articles","previous_headings":"Analysing the data","what":"Select and filter with antibiotic selectors","title":"How to conduct AMR data analysis","text":"Using -called antibiotic class selectors, can select filter columns based antibiotic class antibiotic results :","code":"our_data_1st %>%   select(date, aminoglycosides()) #> ℹ For aminoglycosides() using column 'GEN' (gentamicin) #> # A tibble: 2,712 × 2 #>    date       GEN   #>    <date>     <sir> #>  1 2012-11-21 S     #>  2 2018-04-03 S     #>  3 2015-12-10 S     #>  4 2015-03-02 S     #>  5 2018-03-31 S     #>  6 2015-10-25 S     #>  7 2019-06-19 S     #>  8 2015-04-27 S     #>  9 2011-06-21 S     #> 10 2014-09-05 S     #> # ℹ 2,702 more rows  our_data_1st %>%   select(bacteria, betalactams()) #> ℹ For betalactams() using columns 'AMX' (amoxicillin) and 'AMC' #>   (amoxicillin/clavulanic acid) #> # A tibble: 2,712 × 3 #>    bacteria     AMX   AMC   #>    <mo>         <sir> <sir> #>  1 B_ESCHR_COLI R     I     #>  2 B_KLBSL_PNMN R     I     #>  3 B_ESCHR_COLI S     I     #>  4 B_ESCHR_COLI S     S     #>  5 B_STPHY_AURS R     S     #>  6 B_ESCHR_COLI R     S     #>  7 B_ESCHR_COLI S     S     #>  8 B_STPHY_AURS S     S     #>  9 B_ESCHR_COLI S     S     #> 10 B_ESCHR_COLI S     S     #> # ℹ 2,702 more rows  our_data_1st %>%   select(bacteria, where(is.sir)) #> # A tibble: 2,712 × 5 #>    bacteria     AMX   AMC   CIP   GEN   #>    <mo>         <sir> <sir> <sir> <sir> #>  1 B_ESCHR_COLI R     I     S     S     #>  2 B_KLBSL_PNMN R     I     S     S     #>  3 B_ESCHR_COLI S     I     S     S     #>  4 B_ESCHR_COLI S     S     S     S     #>  5 B_STPHY_AURS R     S     R     S     #>  6 B_ESCHR_COLI R     S     S     S     #>  7 B_ESCHR_COLI S     S     S     S     #>  8 B_STPHY_AURS S     S     S     S     #>  9 B_ESCHR_COLI S     S     S     S     #> 10 B_ESCHR_COLI S     S     S     S     #> # ℹ 2,702 more rows  # filtering using AB selectors is also possible: our_data_1st %>%   filter(any(aminoglycosides() == \"R\")) #> ℹ For aminoglycosides() using column 'GEN' (gentamicin) #> # A tibble: 1,011 × 9 #>    patient_id hospital date       bacteria     AMX   AMC   CIP   GEN   first #>    <chr>      <chr>    <date>     <mo>         <sir> <sir> <sir> <sir> <lgl> #>  1 J5         A        2017-12-25 B_STRPT_PNMN R     S     S     R     TRUE  #>  2 X1         A        2017-07-04 B_STPHY_AURS R     S     S     R     TRUE  #>  3 B3         A        2016-07-24 B_ESCHR_COLI S     S     S     R     TRUE  #>  4 V7         A        2012-04-03 B_ESCHR_COLI S     S     S     R     TRUE  #>  5 C9         A        2017-03-23 B_ESCHR_COLI S     S     S     R     TRUE  #>  6 R1         A        2018-06-10 B_STPHY_AURS S     S     S     R     TRUE  #>  7 S2         A        2013-07-19 B_STRPT_PNMN S     S     S     R     TRUE  #>  8 P5         A        2019-03-09 B_STPHY_AURS S     S     S     R     TRUE  #>  9 Q8         A        2019-08-10 B_STPHY_AURS S     S     S     R     TRUE  #> 10 K5         A        2013-03-15 B_STRPT_PNMN S     S     S     R     TRUE  #> # ℹ 1,001 more rows  our_data_1st %>%   filter(all(betalactams() == \"R\")) #> ℹ For betalactams() using columns 'AMX' (amoxicillin) and 'AMC' #>   (amoxicillin/clavulanic acid) #> # A tibble: 483 × 9 #>    patient_id hospital date       bacteria     AMX   AMC   CIP   GEN   first #>    <chr>      <chr>    <date>     <mo>         <sir> <sir> <sir> <sir> <lgl> #>  1 M7         A        2013-07-22 B_STRPT_PNMN R     R     S     S     TRUE  #>  2 R10        A        2013-12-20 B_STPHY_AURS R     R     S     S     TRUE  #>  3 R7         A        2015-10-25 B_STPHY_AURS R     R     S     S     TRUE  #>  4 R8         A        2019-10-25 B_STPHY_AURS R     R     S     S     TRUE  #>  5 B6         A        2016-11-20 B_ESCHR_COLI R     R     R     R     TRUE  #>  6 I7         A        2015-08-19 B_ESCHR_COLI R     R     S     S     TRUE  #>  7 N3         A        2014-12-29 B_STRPT_PNMN R     R     R     S     TRUE  #>  8 Q2         A        2019-09-22 B_ESCHR_COLI R     R     S     S     TRUE  #>  9 X7         A        2011-03-20 B_ESCHR_COLI R     R     S     R     TRUE  #> 10 V1         A        2018-08-07 B_STPHY_AURS R     R     S     S     TRUE  #> # ℹ 473 more rows  # even works in base R (since R 3.0): our_data_1st[all(betalactams() == \"R\"), ] #> ℹ For betalactams() using columns 'AMX' (amoxicillin) and 'AMC' #>   (amoxicillin/clavulanic acid) #> # A tibble: 483 × 9 #>    patient_id hospital date       bacteria     AMX   AMC   CIP   GEN   first #>    <chr>      <chr>    <date>     <mo>         <sir> <sir> <sir> <sir> <lgl> #>  1 M7         A        2013-07-22 B_STRPT_PNMN R     R     S     S     TRUE  #>  2 R10        A        2013-12-20 B_STPHY_AURS R     R     S     S     TRUE  #>  3 R7         A        2015-10-25 B_STPHY_AURS R     R     S     S     TRUE  #>  4 R8         A        2019-10-25 B_STPHY_AURS R     R     S     S     TRUE  #>  5 B6         A        2016-11-20 B_ESCHR_COLI R     R     R     R     TRUE  #>  6 I7         A        2015-08-19 B_ESCHR_COLI R     R     S     S     TRUE  #>  7 N3         A        2014-12-29 B_STRPT_PNMN R     R     R     S     TRUE  #>  8 Q2         A        2019-09-22 B_ESCHR_COLI R     R     S     S     TRUE  #>  9 X7         A        2011-03-20 B_ESCHR_COLI R     R     S     R     TRUE  #> 10 V1         A        2018-08-07 B_STPHY_AURS R     R     S     S     TRUE  #> # ℹ 473 more rows"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"generate-antibiograms","dir":"Articles","previous_headings":"Analysing the data","what":"Generate antibiograms","title":"How to conduct AMR data analysis","text":"Since AMR v2.0 (March 2023), easy create different types antibiograms, support 20 different languages. four antibiogram types, proposed Klinker et al. (2021, DOI 10.1177/20499361211011373), supported new antibiogram() function: Traditional Antibiogram (TA) e.g, susceptibility Pseudomonas aeruginosa piperacillin/tazobactam (TZP) Combination Antibiogram (CA) e.g, sdditional susceptibility Pseudomonas aeruginosa TZP + tobramycin versus TZP alone Syndromic Antibiogram (SA) e.g, susceptibility Pseudomonas aeruginosa TZP among respiratory specimens (obtained among ICU patients ) Weighted-Incidence Syndromic Combination Antibiogram (WISCA) e.g, susceptibility Pseudomonas aeruginosa TZP among respiratory specimens (obtained among ICU patients ) male patients age >=65 years heart failure section, show use antibiogram() function create antibiogram types. starters, included example_isolates data set looks like:","code":"example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"traditional-antibiogram","dir":"Articles","previous_headings":"Analysing the data > Generate antibiograms","what":"Traditional Antibiogram","title":"How to conduct AMR data analysis","text":"create traditional antibiogram, simply state antibiotics used. antibiotics argument antibiogram() function supports (combination) previously mentioned antibiotic class selectors: Notice antibiogram() function automatically prints right format using Quarto R Markdown (page), even applies italics taxonomic names (using italicise_taxonomy() internally). also uses language OS either English, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Italian, Japanese, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, Ukrainian. next example, force language Spanish using language argument:","code":"antibiogram(example_isolates,             antibiotics = c(aminoglycosides(), carbapenems())) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) antibiogram(example_isolates,             mo_transform = \"gramstain\",             antibiotics = aminoglycosides(),             ab_transform = \"name\",             language = \"es\") #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"combined-antibiogram","dir":"Articles","previous_headings":"Analysing the data > Generate antibiograms","what":"Combined Antibiogram","title":"How to conduct AMR data analysis","text":"create combined antibiogram, use antibiotic codes names plus + character like :","code":"antibiogram(example_isolates,             antibiotics = c(\"TZP\", \"TZP+TOB\", \"TZP+GEN\"))"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"syndromic-antibiogram","dir":"Articles","previous_headings":"Analysing the data > Generate antibiograms","what":"Syndromic Antibiogram","title":"How to conduct AMR data analysis","text":"create syndromic antibiogram, syndromic_group argument must used. can column data, e.g. ifelse() calculations based certain columns:","code":"antibiogram(example_isolates,             antibiotics = c(aminoglycosides(), carbapenems()),             syndromic_group = \"ward\") #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"weighted-incidence-syndromic-combination-antibiogram-wisca","dir":"Articles","previous_headings":"Analysing the data > Generate antibiograms","what":"Weighted-Incidence Syndromic Combination Antibiogram (WISCA)","title":"How to conduct AMR data analysis","text":"create WISCA, must state combination therapy antibiotics argument (similar Combination Antibiogram), define syndromic group syndromic_group argument (similar Syndromic Antibiogram) cases predefined based clinical demographic characteristics (e.g., endocarditis 75+ females). next example simplification without clinical characteristics, just gives idea WISCA can created:","code":"wisca <- antibiogram(example_isolates,                      antibiotics = c(\"AMC\", \"AMC+CIP\", \"TZP\", \"TZP+TOB\"),                      mo_transform = \"gramstain\",                      minimum = 10, # this should be >= 30, but now just as example                      syndromic_group = ifelse(example_isolates$age >= 65 &                                                 example_isolates$gender == \"M\",                                               \"WISCA Group 1\", \"WISCA Group 2\")) wisca"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"plotting-antibiograms","dir":"Articles","previous_headings":"Analysing the data > Generate antibiograms","what":"Plotting antibiograms","title":"How to conduct AMR data analysis","text":"Antibiograms can plotted using autoplot() ggplot2 packages, since AMR package provides extension function:  calculate antimicrobial resistance sensible way, also correcting results, use resistance() susceptibility() functions.","code":"autoplot(wisca)"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"resistance-percentages","dir":"Articles","previous_headings":"Analysing the data","what":"Resistance percentages","title":"How to conduct AMR data analysis","text":"functions resistance() susceptibility() can used calculate antimicrobial resistance susceptibility. specific analyses, functions proportion_S(), proportion_SI(), proportion_I(), proportion_IR() proportion_R() can used determine proportion specific antimicrobial outcome. functions contain minimum argument, denoting minimum required number test results returning value. functions otherwise return NA. default minimum = 30, following CLSI M39-A4 guideline applying microbial epidemiology. per EUCAST guideline 2019, calculate resistance proportion R (proportion_R(), equal resistance()) susceptibility proportion S (proportion_SI(), equal susceptibility()). functions can used : can used conjunction group_by() summarise(), dplyr package: Author: Dr. Matthijs Berends, 26th Feb 2023","code":"our_data_1st %>% resistance(AMX) #> [1] 0.4288348 our_data_1st %>%   group_by(hospital) %>%   summarise(amoxicillin = resistance(AMX)) #> # A tibble: 3 × 2 #>   hospital amoxicillin #>   <chr>          <dbl> #> 1 A              0.342 #> 2 B              0.564 #> 3 C              0.372"},{"path":"https://msberends.github.io/AMR/articles/EUCAST.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to apply EUCAST rules","text":"EUCAST rules? European Committee Antimicrobial Susceptibility Testing (EUCAST) states website: EUCAST expert rules tabulated collection expert knowledge intrinsic resistances, exceptional resistance phenotypes interpretive rules may applied antimicrobial susceptibility testing order reduce errors make appropriate recommendations reporting particular resistances. Europe, lot medical microbiological laboratories already apply rules (Brown et al., 2015). package features latest insights intrinsic resistance unusual phenotypes (v3.1, 2016). Moreover, eucast_rules() function use purpose can also apply additional rules, like forcing ampicillin = R isolates amoxicillin/clavulanic acid = R.","code":""},{"path":"https://msberends.github.io/AMR/articles/EUCAST.html","id":"examples","dir":"Articles","previous_headings":"","what":"Examples","title":"How to apply EUCAST rules","text":"rules can used discard impossible bug-drug combinations data. example, Klebsiella produces beta-lactamase prevents ampicillin (amoxicillin) working . words, practically every strain Klebsiella resistant ampicillin. Sometimes, laboratory data can still contain strains ampicillin susceptible ampicillin. antibiogram available identification available, antibiogram re-interpreted based identification (namely, Klebsiella). EUCAST expert rules solve , can applied using eucast_rules(): convenient function mo_is_intrinsic_resistant() uses guideline, allows check one specific microorganisms antibiotics: EUCAST rules can used correction, can also used filling known resistance susceptibility based results antimicrobials drugs. process called interpretive reading, basically form imputation, part eucast_rules() function well:","code":"oops <- data.frame(   mo = c(     \"Klebsiella\",     \"Escherichia\"   ),   ampicillin = \"S\" ) oops #>            mo ampicillin #> 1  Klebsiella          S #> 2 Escherichia          S  eucast_rules(oops, info = FALSE) #>            mo ampicillin #> 1  Klebsiella          R #> 2 Escherichia          S mo_is_intrinsic_resistant(   c(\"Klebsiella\", \"Escherichia\"),   \"ampicillin\" ) #> [1]  TRUE FALSE  mo_is_intrinsic_resistant(   \"Klebsiella\",   c(\"ampicillin\", \"kanamycin\") ) #> [1]  TRUE FALSE data <- data.frame(   mo = c(     \"Staphylococcus aureus\",     \"Enterococcus faecalis\",     \"Escherichia coli\",     \"Klebsiella pneumoniae\",     \"Pseudomonas aeruginosa\"   ),   VAN = \"-\", # Vancomycin   AMX = \"-\", # Amoxicillin   COL = \"-\", # Colistin   CAZ = \"-\", # Ceftazidime   CXM = \"-\", # Cefuroxime   PEN = \"S\", # Benzylenicillin   FOX = \"S\", # Cefoxitin   stringsAsFactors = FALSE ) data eucast_rules(data)"},{"path":"https://msberends.github.io/AMR/articles/MDR.html","id":"type-of-input","dir":"Articles","previous_headings":"","what":"Type of input","title":"How to determine multi-drug resistance (MDR)","text":"mdro() function takes data set input, regular data.frame. tries automatically determine right columns info isolates, name species columns results antimicrobial agents. See help page info set right settings data command ?mdro. WHONET data (data), settings automatically set correctly.","code":""},{"path":"https://msberends.github.io/AMR/articles/MDR.html","id":"guidelines","dir":"Articles","previous_headings":"","what":"Guidelines","title":"How to determine multi-drug resistance (MDR)","text":"mdro() function support multiple guidelines. can select guideline guideline parameter. Currently supported guidelines (case-insensitive): guideline = \"CMI2012\" (default) Magiorakos AP, Srinivasan et al. “Multidrug-resistant, extensively drug-resistant pandrug-resistant bacteria: international expert proposal interim standard definitions acquired resistance.” Clinical Microbiology Infection (2012) (link) guideline = \"EUCAST3.2\" (simply guideline = \"EUCAST\") European international guideline - EUCAST Expert Rules Version 3.2 “Intrinsic Resistance Unusual Phenotypes” (link) guideline = \"EUCAST3.1\" European international guideline - EUCAST Expert Rules Version 3.1 “Intrinsic Resistance Exceptional Phenotypes Tables” (link) guideline = \"TB\" international guideline multi-drug resistant tuberculosis - World Health Organization “Companion handbook guidelines programmatic management drug-resistant tuberculosis” (link) guideline = \"MRGN\" German national guideline - Mueller et al. (2015) Antimicrobial Resistance Infection Control 4:7. DOI: 10.1186/s13756-015-0047-6 guideline = \"BRMO\" Dutch national guideline - Rijksinstituut voor Volksgezondheid en Milieu “WIP-richtlijn BRMO (Bijzonder Resistente Micro-Organismen) (ZKH)” (link) Please suggest (country-specific) guidelines letting us know: https://github.com/msberends/AMR/issues/new.","code":""},{"path":"https://msberends.github.io/AMR/articles/MDR.html","id":"custom-guidelines","dir":"Articles","previous_headings":"Guidelines","what":"Custom Guidelines","title":"How to determine multi-drug resistance (MDR)","text":"can also use custom guideline. Custom guidelines can set custom_mdro_guideline() function. great importance custom rules determine MDROs hospital, e.g., rules dependent ward, state contact isolation variables data. familiar case_when() dplyr package, recognise input method set rules. Rules must set using R considers ‘formula notation’: row/isolate matches first rule, value first ~ (case ‘Elderly Type ’) set MDRO value. Otherwise, second rule tried . maximum number rules unlimited. can print rules set console overview. Colours help reading console supports colours. outcome function can used guideline argument mdro() function: rules set (custom object case) exported shared file location using saveRDS() collaborate multiple users. custom rules set imported using readRDS().","code":"custom <- custom_mdro_guideline(   CIP == \"R\" & age > 60 ~ \"Elderly Type A\",   ERY == \"R\" & age > 60 ~ \"Elderly Type B\" ) custom #> A set of custom MDRO rules: #>   1. If CIP is \"R\" and age is higher than 60 then: Elderly Type A #>   2. If ERY is \"R\" and age is higher than 60 then: Elderly Type B #>   3. Otherwise: Negative #>  #> Unmatched rows will return NA. #> Results will be of class 'factor', with ordered levels: Negative < Elderly Type A < Elderly Type B x <- mdro(example_isolates, guideline = custom) table(x) #> x #>       Negative Elderly Type A Elderly Type B  #>           1070            198            732"},{"path":"https://msberends.github.io/AMR/articles/MDR.html","id":"examples","dir":"Articles","previous_headings":"","what":"Examples","title":"How to determine multi-drug resistance (MDR)","text":"mdro() function always returns ordered factor predefined guidelines. example, output default guideline Magiorakos et al. returns factor levels ‘Negative’, ‘MDR’, ‘XDR’ ‘PDR’ order. next example uses example_isolates data set. data set included package contains full antibiograms 2,000 microbial isolates. reflects reality can used practise AMR data analysis. test MDR/XDR/PDR guideline data set, get: Frequency table Class: factor > ordered (numeric) Length: 2,000 Levels: 4: Negative < Multi-drug-resistant (MDR) < Extensively drug-resistant … Available: 1,729 (86.45%, NA: 271 = 13.55%) Unique: 2 another example, create data set determine multi-drug resistant TB: column names automatically verified valid drug names codes, worked exactly way: data set now looks like : can now add interpretation MDR-TB data set. can use: shortcut mdr_tb(): Create frequency table results: Frequency table Class: factor > ordered (numeric) Length: 5,000 Levels: 5: Negative < Mono-resistant < Poly-resistant < Multi-drug-resistant <… Available: 5,000 (100%, NA: 0 = 0%) Unique: 5","code":"library(dplyr) # to support pipes: %>% library(cleaner) # to create frequency tables example_isolates %>%   mdro() %>%   freq() # show frequency table of the result #> Warning: in mdro(): NA introduced for isolates where the available percentage of #> antimicrobial classes was below 50% (set with pct_required_classes) # random_sir() is a helper function to generate # a random vector with values S, I and R my_TB_data <- data.frame(   rifampicin = random_sir(5000),   isoniazid = random_sir(5000),   gatifloxacin = random_sir(5000),   ethambutol = random_sir(5000),   pyrazinamide = random_sir(5000),   moxifloxacin = random_sir(5000),   kanamycin = random_sir(5000) ) my_TB_data <- data.frame(   RIF = random_sir(5000),   INH = random_sir(5000),   GAT = random_sir(5000),   ETH = random_sir(5000),   PZA = random_sir(5000),   MFX = random_sir(5000),   KAN = random_sir(5000) ) head(my_TB_data) #>   rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin #> 1          I         S            S          S            S            R #> 2          I         S            R          R            S            S #> 3          R         I            R          R            S            I #> 4          R         R            S          S            R            I #> 5          R         R            I          S            R            I #> 6          R         R            R          S            R            S #>   kanamycin #> 1         S #> 2         S #> 3         R #> 4         I #> 5         I #> 6         I mdro(my_TB_data, guideline = \"TB\") my_TB_data$mdr <- mdr_tb(my_TB_data) #> ℹ No column found as input for col_mo, assuming all rows contain #>   Mycobacterium tuberculosis. freq(my_TB_data$mdr)"},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/PCA.html","id":"transforming","dir":"Articles","previous_headings":"","what":"Transforming","title":"How to conduct principal component analysis (PCA) for AMR","text":"PCA, need transform AMR data first. example_isolates data set package looks like: Now transform data set resistance percentages per taxonomic order genus:","code":"library(AMR) library(dplyr) glimpse(example_isolates) #> Rows: 2,000 #> Columns: 46 #> $ date    <date> 2002-01-02, 2002-01-03, 2002-01-07, 2002-01-07, 2002-01-13, 2… #> $ patient <chr> \"A77334\", \"A77334\", \"067927\", \"067927\", \"067927\", \"067927\", \"4… #> $ age     <dbl> 65, 65, 45, 45, 45, 45, 78, 78, 45, 79, 67, 67, 71, 71, 75, 50… #> $ gender  <chr> \"F\", \"F\", \"F\", \"F\", \"F\", \"F\", \"M\", \"M\", \"F\", \"F\", \"M\", \"M\", \"M… #> $ ward    <chr> \"Clinical\", \"Clinical\", \"ICU\", \"ICU\", \"ICU\", \"ICU\", \"Clinical\"… #> $ mo      <mo> \"B_ESCHR_COLI\", \"B_ESCHR_COLI\", \"B_STPHY_EPDR\", \"B_STPHY_EPDR\",… #> $ PEN     <sir> R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, R, S,… #> $ OXA     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ FLC     <sir> NA, NA, R, R, R, R, S, S, R, S, S, S, NA, NA, NA, NA, NA, R, R… #> $ AMX     <sir> NA, NA, NA, NA, NA, NA, R, R, NA, NA, NA, NA, NA, NA, R, NA, N… #> $ AMC     <sir> I, I, NA, NA, NA, NA, S, S, NA, NA, S, S, I, I, R, I, I, NA, N… #> $ AMP     <sir> NA, NA, NA, NA, NA, NA, R, R, NA, NA, NA, NA, NA, NA, R, NA, N… #> $ TZP     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ CZO     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R, NA,… #> $ FEP     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ CXM     <sir> I, I, R, R, R, R, S, S, R, S, S, S, S, S, NA, S, S, R, R, S, S… #> $ FOX     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R, NA,… #> $ CTX     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, S, S, NA, S, S… #> $ CAZ     <sir> NA, NA, R, R, R, R, R, R, R, R, R, R, NA, NA, NA, S, S, R, R, … #> $ CRO     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, S, S, NA, S, S… #> $ GEN     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ TOB     <sir> NA, NA, NA, NA, NA, NA, S, S, NA, NA, NA, NA, S, S, NA, NA, NA… #> $ AMK     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ KAN     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ TMP     <sir> R, R, S, S, R, R, R, R, S, S, NA, NA, S, S, S, S, S, R, R, R, … #> $ SXT     <sir> R, R, S, S, NA, NA, NA, NA, S, S, NA, NA, S, S, S, S, S, NA, N… #> $ NIT     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R,… #> $ FOS     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ LNZ     <sir> R, R, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R, R, R, R, R, N… #> $ CIP     <sir> NA, NA, NA, NA, NA, NA, NA, NA, S, S, NA, NA, NA, NA, NA, S, S… #> $ MFX     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ VAN     <sir> R, R, S, S, S, S, S, S, S, S, NA, NA, R, R, R, R, R, S, S, S, … #> $ TEC     <sir> R, R, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R, R, R, R, R, N… #> $ TCY     <sir> R, R, S, S, S, S, S, S, S, I, S, S, NA, NA, I, R, R, S, I, R, … #> $ TGC     <sir> NA, NA, S, S, S, S, S, S, S, NA, S, S, NA, NA, NA, R, R, S, NA… #> $ DOX     <sir> NA, NA, S, S, S, S, S, S, S, NA, S, S, NA, NA, NA, R, R, S, NA… #> $ ERY     <sir> R, R, R, R, R, R, S, S, R, S, S, S, R, R, R, R, R, R, R, R, S,… #> $ CLI     <sir> R, R, NA, NA, NA, R, NA, NA, NA, NA, NA, NA, R, R, R, R, R, NA… #> $ AZM     <sir> R, R, R, R, R, R, S, S, R, S, S, S, R, R, R, R, R, R, R, R, S,… #> $ IPM     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, S, S, NA, S, S… #> $ MEM     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ MTR     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ CHL     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ COL     <sir> NA, NA, R, R, R, R, R, R, R, R, R, R, NA, NA, NA, R, R, R, R, … #> $ MUP     <sir> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA… #> $ RIF     <sir> R, R, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, R, R, R, R, R, N… resistance_data <- example_isolates %>%   group_by(     order = mo_order(mo), # group on anything, like order     genus = mo_genus(mo)   ) %>% #  and genus as we do here   summarise_if(is.sir, resistance) %>% # then get resistance of all drugs   select(     order, genus, AMC, CXM, CTX,     CAZ, GEN, TOB, TMP, SXT   ) # and select only relevant columns  head(resistance_data) #> # A tibble: 6 × 10 #> # Groups:   order [5] #>   order             genus          AMC   CXM   CTX   CAZ   GEN   TOB   TMP   SXT #>   <chr>             <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 (unknown order)   (unknown ge…    NA    NA    NA    NA    NA    NA    NA    NA #> 2 Actinomycetales   Schaalia        NA    NA    NA    NA    NA    NA    NA    NA #> 3 Bacteroidales     Bacteroides     NA    NA    NA    NA    NA    NA    NA    NA #> 4 Campylobacterales Campylobact…    NA    NA    NA    NA    NA    NA    NA    NA #> 5 Caryophanales     Gemella         NA    NA    NA    NA    NA    NA    NA    NA #> 6 Caryophanales     Listeria        NA    NA    NA    NA    NA    NA    NA    NA"},{"path":"https://msberends.github.io/AMR/articles/PCA.html","id":"perform-principal-component-analysis","dir":"Articles","previous_headings":"","what":"Perform principal component analysis","title":"How to conduct principal component analysis (PCA) for AMR","text":"new pca() function automatically filter rows contain numeric values selected variables, now need : result can reviewed good old summary() function: Good news. first two components explain total 93.3% variance (see PC1 PC2 values Proportion Variance. can create -called biplot base R biplot() function, see antimicrobial resistance per drug explain difference per microorganism.","code":"pca_result <- pca(resistance_data) #> ℹ Columns selected for PCA: \"AMC\", \"CAZ\", \"CTX\", \"CXM\", \"GEN\", \"SXT\", #>   \"TMP\", and \"TOB\". Total observations available: 7. summary(pca_result) #> Groups (n=4, named as 'order'): #> [1] \"Caryophanales\"    \"Enterobacterales\" \"Lactobacillales\"  \"Pseudomonadales\" #> Importance of components: #>                           PC1    PC2    PC3     PC4     PC5     PC6       PC7 #> Standard deviation     2.1539 1.6807 0.6138 0.33879 0.20808 0.03140 1.232e-16 #> Proportion of Variance 0.5799 0.3531 0.0471 0.01435 0.00541 0.00012 0.000e+00 #> Cumulative Proportion  0.5799 0.9330 0.9801 0.99446 0.99988 1.00000 1.000e+00 #> Groups (n=4, named as 'order'): #> [1] \"Caryophanales\"    \"Enterobacterales\" \"Lactobacillales\"  \"Pseudomonadales\""},{"path":"https://msberends.github.io/AMR/articles/PCA.html","id":"plotting-the-results","dir":"Articles","previous_headings":"","what":"Plotting the results","title":"How to conduct principal component analysis (PCA) for AMR","text":"can’t see explanation points. Perhaps works better new ggplot_pca() function, automatically adds right labels even groups:  can also print ellipse per group, edit appearance:","code":"biplot(pca_result) ggplot_pca(pca_result) ggplot_pca(pca_result, ellipse = TRUE) +   ggplot2::labs(title = \"An AMR/PCA biplot!\")"},{"path":"https://msberends.github.io/AMR/articles/WHONET.html","id":"import-of-data","dir":"Articles","previous_headings":"","what":"Import of data","title":"How to work with WHONET data","text":"tutorial assumes already imported WHONET data e.g. readxl package. RStudio, can done using menu button ‘Import Dataset’ tab ‘Environment’. Choose option ‘Excel’ select exported file. Make sure date fields imported correctly. example syntax look like : package comes example data set WHONET. use analysis.","code":"library(readxl) data <- read_excel(path = \"path/to/your/file.xlsx\")"},{"path":"https://msberends.github.io/AMR/articles/WHONET.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to work with WHONET data","text":"First, load relevant packages yet . use tidyverse analyses. . don’t know yet, suggest read website: https://www.tidyverse.org/. transform variables simplify automate analysis: Microorganisms transformed microorganism codes (called mo) using Catalogue Life reference data set, contains ~70,000 microorganisms taxonomic kingdoms Bacteria, Fungi Protozoa. tranformation .mo(). function also recognises almost WHONET abbreviations microorganisms. Antimicrobial results interpretations clean valid. words, contain values \"S\", \"\" \"R\". exactly .sir() function . errors warnings, values transformed succesfully. also created package dedicated data cleaning checking, called cleaner package. freq() function can used create frequency tables. let’s check data, couple frequency tables: Frequency table Class: character Length: 500 Available: 500 (100%, NA: 0 = 0%) Unique: 38 Shortest: 11 Longest: 40 (omitted 28 entries, n = 57 [11.4%]) Frequency table Class: factor > ordered > sir (numeric) Length: 500 Levels: 3: S < < R Available: 481 (96.2%, NA: 19 = 3.8%) Unique: 3 Drug: Amoxicillin/clavulanic acid (AMC, J01CR02) Drug group: Beta-lactams/penicillins %SI: 78.59%","code":"library(dplyr) # part of tidyverse library(ggplot2) # part of tidyverse library(AMR) # this package library(cleaner) # to create frequency tables # transform variables data <- WHONET %>%   # get microbial ID based on given organism   mutate(mo = as.mo(Organism)) %>%   # transform everything from \"AMP_ND10\" to \"CIP_EE\" to the new `sir` class   mutate_at(vars(AMP_ND10:CIP_EE), as.sir) # our newly created `mo` variable, put in the mo_name() function data %>% freq(mo_name(mo), nmax = 10) # our transformed antibiotic columns # amoxicillin/clavulanic acid (J01CR02) as an example data %>% freq(AMC_ND2)"},{"path":"https://msberends.github.io/AMR/articles/WHONET.html","id":"a-first-glimpse-at-results","dir":"Articles","previous_headings":"","what":"A first glimpse at results","title":"How to work with WHONET data","text":"easy ggplot already give lot information, using included ggplot_sir() function:","code":"data %>%   group_by(Country) %>%   select(Country, AMP_ND2, AMC_ED20, CAZ_ED10, CIP_ED5) %>%   ggplot_sir(translate_ab = \"ab\", facet = \"Country\", datalabels = FALSE)"},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"microorganisms-full-microbial-taxonomy","dir":"Articles","previous_headings":"","what":"microorganisms: Full Microbial Taxonomy","title":"Data sets for download / own use","text":"data set 52 171 rows 23 columns, containing following column names:mo, fullname, status, kingdom, phylum, class, order, family, genus, species, subspecies, rank, ref, oxygen_tolerance, source, lpsn, lpsn_parent, lpsn_renamed_to, gbif, gbif_parent, gbif_renamed_to, prevalence, snomed. data set R available microorganisms, load AMR package. last updated 14 July 2023 08:49:06 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (1.2 MB) Download tab-separated text file (11.7 MB) Download Microsoft Excel workbook (5.2 MB) Download Apache Feather file (5.5 MB) Download Apache Parquet file (2.6 MB) Download SAS transport (XPT) file (48.6 MB) Download IBM SPSS Statistics data file (17.8 MB) Download Stata DTA file (48.6 MB) NOTE: exported files SAS, SPSS Stata contain first 50 SNOMED codes per record, file size otherwise exceed 100 MB; file size limit GitHub. file structures compression techniques inefficient. Advice? Use R instead. ’s free much better many ways. tab-separated text file Microsoft Excel workbook contain SNOMED codes comma separated values.","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source","dir":"Articles","previous_headings":"microorganisms: Full Microbial Taxonomy","what":"Source","title":"Data sets for download / own use","text":"data set contains full microbial taxonomy five kingdoms List Prokaryotic names Standing Nomenclature (LPSN) Global Biodiversity Information Facility (GBIF): Parte, AC et al. (2020). List Prokaryotic names Standing Nomenclature (LPSN) moves DSMZ. International Journal Systematic Evolutionary Microbiology, 70, 5607-5612; . Accessed https://lpsn.dsmz.de December 11th, 2022. GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset . Accessed https://www.gbif.org January 8th, 2024. Public Health Information Network Vocabulary Access Distribution System (PHIN VADS). US Edition SNOMED CT 1 September 2020. Value Set Name ‘Microorganism’, OID 2.16.840.1.114222.4.11.1009 (v12). URL: https://phinvads.cdc.gov","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"example-content","dir":"Articles","previous_headings":"microorganisms: Full Microbial Taxonomy","what":"Example content","title":"Data sets for download / own use","text":"Included (sub)species per taxonomic kingdom: Example rows filtering genus Escherichia:","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"antibiotics-antibiotic-antifungal-drugs","dir":"Articles","previous_headings":"","what":"antibiotics: Antibiotic (+Antifungal) Drugs","title":"Data sets for download / own use","text":"data set 483 rows 14 columns, containing following column names:ab, cid, name, group, atc, atc_group1, atc_group2, abbreviations, synonyms, oral_ddd, oral_units, iv_ddd, iv_units, loinc. data set R available antibiotics, load AMR package. last updated 24 February 2024 14:16:52 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (44 kB) Download tab-separated text file (0.1 MB) Download Microsoft Excel workbook (73 kB) Download Apache Feather file (0.1 MB) Download Apache Parquet file (0.1 MB) Download SAS transport (XPT) file (1.5 MB) Download IBM SPSS Statistics data file (0.4 MB) Download Stata DTA file (0.5 MB) tab-separated text file Microsoft Excel workbook, SAS, SPSS Stata files contain ATC codes, common abbreviations, trade names LOINC codes comma separated values.","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-1","dir":"Articles","previous_headings":"antibiotics: Antibiotic (+Antifungal) Drugs","what":"Source","title":"Data sets for download / own use","text":"data set contains EARS-Net ATC codes gathered WHONET, compound IDs PubChem. also contains brand names (synonyms) found PubChem Defined Daily Doses (DDDs) oral parenteral administration. ATC/DDD index Collaborating Centre Drug Statistics Methodology (note: may used commercial purposes, freely available CC website personal use) PubChem US National Library Medicine WHONET software 2019 LOINC (Logical Observation Identifiers Names Codes)","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"antivirals-antiviral-drugs","dir":"Articles","previous_headings":"","what":"antivirals: Antiviral Drugs","title":"Data sets for download / own use","text":"data set 120 rows 11 columns, containing following column names:av, name, atc, cid, atc_group, synonyms, oral_ddd, oral_units, iv_ddd, iv_units, loinc. data set R available antivirals, load AMR package. last updated 20 October 2023 12:51:48 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (6 kB) Download tab-separated text file (17 kB) Download Microsoft Excel workbook (16 kB) Download Apache Feather file (16 kB) Download Apache Parquet file (13 kB) Download SAS transport (XPT) file (73 kB) Download IBM SPSS Statistics data file (32 kB) Download Stata DTA file (78 kB) tab-separated text file Microsoft Excel workbook, SAS, SPSS Stata files contain trade names LOINC codes comma separated values.","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-2","dir":"Articles","previous_headings":"antivirals: Antiviral Drugs","what":"Source","title":"Data sets for download / own use","text":"data set contains ATC codes gathered compound IDs PubChem. also contains brand names (synonyms) found PubChem Defined Daily Doses (DDDs) oral parenteral administration. ATC/DDD index Collaborating Centre Drug Statistics Methodology (note: may used commercial purposes, freely available CC website personal use) PubChem US National Library Medicine LOINC (Logical Observation Identifiers Names Codes)","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"clinical_breakpoints-interpretation-from-mic-values-disk-diameters-to-sir","dir":"Articles","previous_headings":"","what":"clinical_breakpoints: Interpretation from MIC values & disk diameters to SIR","title":"Data sets for download / own use","text":"data set 29 883 rows 13 columns, containing following column names:guideline, type, host, method, site, mo, rank_index, ab, ref_tbl, disk_dose, breakpoint_S, breakpoint_R, uti. data set R available clinical_breakpoints, load AMR package. last updated 24 February 2024 14:16:52 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (61 kB) Download tab-separated text file (2.5 MB) Download Microsoft Excel workbook (1.4 MB) Download Apache Feather file (1.3 MB) Download Apache Parquet file (91 kB) Download SAS transport (XPT) file (8.2 MB) Download IBM SPSS Statistics data file (4.9 MB) Download Stata DTA file (8.1 MB)","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-3","dir":"Articles","previous_headings":"clinical_breakpoints: Interpretation from MIC values & disk diameters to SIR","what":"Source","title":"Data sets for download / own use","text":"data set contains interpretation rules MIC values disk diffusion diameters. Included guidelines CLSI (2011-2023) EUCAST (2011-2023). Clinical breakpoints package validated imported WHONET, free desktop Windows application developed supported Collaborating Centre Surveillance Antimicrobial Resistance. can read website. developers WHONET AMR package contact sharing work. highly appreciate development WHONET software. CEO CLSI chairman EUCAST endorsed work public use AMR package (consequently use breakpoints) June 2023, future development distributing clinical breakpoints discussed meeting CLSI, EUCAST, , developers WHONET AMR package. NOTE: AMR package (WHONET software well) contains internal methods apply guidelines, rather complex. example, breakpoints must applied certain species groups (case package available microorganisms.groups data set). important considered using breakpoints use.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"intrinsic_resistant-intrinsic-bacterial-resistance","dir":"Articles","previous_headings":"","what":"intrinsic_resistant: Intrinsic Bacterial Resistance","title":"Data sets for download / own use","text":"data set 134 634 rows 2 columns, containing following column names:mo ab. data set R available intrinsic_resistant, load AMR package. last updated 16 December 2022 15:10:43 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (78 kB) Download tab-separated text file (5.1 MB) Download Microsoft Excel workbook (1.3 MB) Download Apache Feather file (1.2 MB) Download Apache Parquet file (0.2 MB) Download SAS transport (XPT) file (9.5 MB) Download IBM SPSS Statistics data file (7.4 MB) Download Stata DTA file (9.5 MB)","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-4","dir":"Articles","previous_headings":"intrinsic_resistant: Intrinsic Bacterial Resistance","what":"Source","title":"Data sets for download / own use","text":"data set contains defined intrinsic resistance EUCAST bug-drug combinations, based ‘EUCAST Expert Rules’ ‘EUCAST Intrinsic Resistance Unusual Phenotypes’ v3.3 (2021).","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"example-content-4","dir":"Articles","previous_headings":"intrinsic_resistant: Intrinsic Bacterial Resistance","what":"Example content","title":"Data sets for download / own use","text":"Example rows filtering Enterobacter cloacae:","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"dosage-dosage-guidelines-from-eucast","dir":"Articles","previous_headings":"","what":"dosage: Dosage Guidelines from EUCAST","title":"Data sets for download / own use","text":"data set 503 rows 9 columns, containing following column names:ab, name, type, dose, dose_times, administration, notes, original_txt, eucast_version. data set R available dosage, load AMR package. last updated 22 June 2023 13:10:59 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (3 kB) Download tab-separated text file (43 kB) Download Microsoft Excel workbook (25 kB) Download Apache Feather file (21 kB) Download Apache Parquet file (9 kB) Download SAS transport (XPT) file (0.1 MB) Download IBM SPSS Statistics data file (64 kB) Download Stata DTA file (0.1 MB)","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-5","dir":"Articles","previous_headings":"dosage: Dosage Guidelines from EUCAST","what":"Source","title":"Data sets for download / own use","text":"EUCAST breakpoints used package based dosages data set. Currently included dosages data set meant :  (), ‘EUCAST Clinical Breakpoint Tables’ v11.0 (2021), ‘EUCAST Clinical Breakpoint Tables’ v12.0 (2022).","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"example_isolates-example-data-for-practice","dir":"Articles","previous_headings":"","what":"example_isolates: Example Data for Practice","title":"Data sets for download / own use","text":"data set 2 000 rows 46 columns, containing following column names:date, patient, age, gender, ward, mo, PEN, OXA, FLC, AMX, AMC, AMP, TZP, CZO, FEP, CXM, FOX, CTX, CAZ, CRO, GEN, TOB, AMK, KAN, TMP, SXT, NIT, FOS, LNZ, CIP, MFX, VAN, TEC, TCY, TGC, DOX, ERY, CLI, AZM, IPM, MEM, MTR, CHL, COL, MUP, RIF. data set R available example_isolates, load AMR package. last updated 21 January 2023 22:47:20 UTC. Find info structure data set .","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-6","dir":"Articles","previous_headings":"example_isolates: Example Data for Practice","what":"Source","title":"Data sets for download / own use","text":"data set contains randomised fictitious data, reflects reality can used practise AMR data analysis.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"example_isolates_unclean-example-data-for-practice","dir":"Articles","previous_headings":"","what":"example_isolates_unclean: Example Data for Practice","title":"Data sets for download / own use","text":"data set 3 000 rows 8 columns, containing following column names:patient_id, hospital, date, bacteria, AMX, AMC, CIP, GEN. data set R available example_isolates_unclean, load AMR package. last updated 27 August 2022 18:49:37 UTC. Find info structure data set .","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-7","dir":"Articles","previous_headings":"example_isolates_unclean: Example Data for Practice","what":"Source","title":"Data sets for download / own use","text":"data set contains randomised fictitious data, reflects reality can used practise AMR data analysis.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"microorganisms-groups-species-groups-and-microbiological-complexes","dir":"Articles","previous_headings":"","what":"microorganisms.groups: Species Groups and Microbiological Complexes","title":"Data sets for download / own use","text":"data set 521 rows 4 columns, containing following column names:mo_group, mo, mo_group_name, mo_name. data set R available microorganisms.groups, load AMR package. last updated 14 July 2023 08:49:06 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (6 kB) Download tab-separated text file (49 kB) Download Microsoft Excel workbook (20 kB) Download Apache Feather file (19 kB) Download Apache Parquet file (13 kB) Download SAS transport (XPT) file (0 kB) Download IBM SPSS Statistics data file (64 kB) Download Stata DTA file (81 kB)","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-8","dir":"Articles","previous_headings":"microorganisms.groups: Species Groups and Microbiological Complexes","what":"Source","title":"Data sets for download / own use","text":"data set contains species groups microbiological complexes, used clinical_breakpoints data set.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"microorganisms-codes-common-laboratory-codes","dir":"Articles","previous_headings":"","what":"microorganisms.codes: Common Laboratory Codes","title":"Data sets for download / own use","text":"data set 4 957 rows 2 columns, containing following column names:code mo. data set R available microorganisms.codes, load AMR package. last updated 8 July 2023 15:30:05 UTC. Find info structure data set . Direct download links: Download original R Data Structure (RDS) file (22 kB) Download tab-separated text file (0.1 MB) Download Microsoft Excel workbook (91 kB) Download Apache Feather file (85 kB) Download Apache Parquet file (57 kB) Download SAS transport (XPT) file (0 kB) Download IBM SPSS Statistics data file (0.1 MB) Download Stata DTA file (0.1 MB)","code":""},{"path":"https://msberends.github.io/AMR/articles/datasets.html","id":"source-9","dir":"Articles","previous_headings":"microorganisms.codes: Common Laboratory Codes","what":"Source","title":"Data sets for download / own use","text":"data set contains commonly used codes microorganisms, laboratory systems WHONET.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/articles/resistance_predict.html","id":"needed-r-packages","dir":"Articles","previous_headings":"","what":"Needed R packages","title":"How to predict antimicrobial resistance","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. AMR package depends packages even extends use functions.","code":"library(dplyr) library(ggplot2) library(AMR)  # (if not yet installed, install with:) # install.packages(c(\"tidyverse\", \"AMR\"))"},{"path":"https://msberends.github.io/AMR/articles/resistance_predict.html","id":"prediction-analysis","dir":"Articles","previous_headings":"","what":"Prediction analysis","title":"How to predict antimicrobial resistance","text":"package contains function resistance_predict(), takes input functions AMR data analysis. Based date column, calculates cases per year uses regression model predict antimicrobial resistance. basically easy : function look date column col_date set. running commands, summary regression model printed unless using resistance_predict(..., info = FALSE). text printed summary - actual result (output) function data.frame containing year: number observations, actual observed resistance, estimated resistance standard error estimation: function plot available base R, can extended packages depend output based type input. extended function cope resistance predictions:  fastest way plot result. automatically adds right axes, error bars, titles, number available observations type model. also support ggplot2 package custom function ggplot_sir_predict() create appealing plots:","code":"# resistance prediction of piperacillin/tazobactam (TZP): resistance_predict(tbl = example_isolates, col_date = \"date\", col_ab = \"TZP\", model = \"binomial\")  # or: example_isolates %>%   resistance_predict(     col_ab = \"TZP\",     model = \"binomial\"   )  # to bind it to object 'predict_TZP' for example: predict_TZP <- example_isolates %>%   resistance_predict(     col_ab = \"TZP\",     model = \"binomial\"   ) predict_TZP #> # A tibble: 33 × 7 #>     year  value se_min se_max observations observed estimated #>  * <dbl>  <dbl>  <dbl>  <dbl>        <int>    <dbl>     <dbl> #>  1  2002 0.2        NA     NA           15   0.2       0.0562 #>  2  2003 0.0625     NA     NA           32   0.0625    0.0616 #>  3  2004 0.0854     NA     NA           82   0.0854    0.0676 #>  4  2005 0.05       NA     NA           60   0.05      0.0741 #>  5  2006 0.0508     NA     NA           59   0.0508    0.0812 #>  6  2007 0.121      NA     NA           66   0.121     0.0889 #>  7  2008 0.0417     NA     NA           72   0.0417    0.0972 #>  8  2009 0.0164     NA     NA           61   0.0164    0.106  #>  9  2010 0.0566     NA     NA           53   0.0566    0.116  #> 10  2011 0.183      NA     NA           93   0.183     0.127  #> # ℹ 23 more rows plot(predict_TZP) ggplot_sir_predict(predict_TZP) # choose for error bars instead of a ribbon ggplot_sir_predict(predict_TZP, ribbon = FALSE)"},{"path":"https://msberends.github.io/AMR/articles/resistance_predict.html","id":"choosing-the-right-model","dir":"Articles","previous_headings":"Prediction analysis","what":"Choosing the right model","title":"How to predict antimicrobial resistance","text":"Resistance easily predicted; look vancomycin resistance Gram-positive bacteria, spread (.e. standard error) enormous:  Vancomycin resistance 100% ten years, might remain low. can define model model parameter. model chosen generalised linear regression model using binomial distribution, assuming period zero resistance followed period increasing resistance leading slowly resistance. Valid values : vancomycin resistance Gram-positive bacteria, linear model might appropriate:  model also available object, attribute:","code":"example_isolates %>%   filter(mo_gramstain(mo, language = NULL) == \"Gram-positive\") %>%   resistance_predict(col_ab = \"VAN\", year_min = 2010, info = FALSE, model = \"binomial\") %>%   ggplot_sir_predict() example_isolates %>%   filter(mo_gramstain(mo, language = NULL) == \"Gram-positive\") %>%   resistance_predict(col_ab = \"VAN\", year_min = 2010, info = FALSE, model = \"linear\") %>%   ggplot_sir_predict() model <- attributes(predict_TZP)$model  summary(model)$family #>  #> Family: binomial  #> Link function: logit  summary(model)$coefficients #>                  Estimate  Std. Error   z value     Pr(>|z|) #> (Intercept) -200.67944891 46.17315349 -4.346237 1.384932e-05 #> year           0.09883005  0.02295317  4.305725 1.664395e-05"},{"path":"https://msberends.github.io/AMR/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Matthijs S. Berends. Author, maintainer. Dennis Souverein. Author, contributor. Erwin E. . Hassing. Author, contributor. Casper J. Albers. Thesis advisor. Peter Dutey-Magni. Contributor. Judith M. Fonville. Contributor. Alex W. Friedrich. Thesis advisor. Corinna Glasner. Thesis advisor. Eric H. L. C. M. Hazenberg. Contributor. Gwen Knight. Contributor. Annick Lenglet. Contributor. Christian F. Luz. Contributor. Bart C. Meijer. Contributor. Dmytro Mykhailenko. Contributor. Anton Mymrikov. Contributor. Andrew P. Norgan. Contributor. Sofia Ny. Contributor. Matthew Saab. Contributor. Jonas Salm. Contributor. Javier Sanchez. Contributor. Rogier P. Schade. Contributor. Bhanu N. M. Sinha. Thesis advisor. Jason Stull. Contributor. Anthony Underwood. Contributor. Anita Williams. Contributor.","code":""},{"path":"https://msberends.github.io/AMR/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C (2022). “AMR: R Package Working Antimicrobial Resistance Data.” Journal Statistical Software, 104(3), 1–31. doi:10.18637/jss.v104.i03.","code":"@Article{,   title = {{AMR}: An {R} Package for Working with Antimicrobial Resistance Data},   author = {Matthijs S. Berends and Christian F. Luz and Alexander W. Friedrich and Bhanu N. M. Sinha and Casper J. Albers and Corinna Glasner},   journal = {Journal of Statistical Software},   year = {2022},   volume = {104},   number = {3},   pages = {1--31},   doi = {10.18637/jss.v104.i03}, }"},{"path":"https://msberends.github.io/AMR/index.html","id":"the-amr-package-for-r-","dir":"","previous_headings":"","what":"Antimicrobial Resistance Data Analysis","title":"Antimicrobial Resistance Data Analysis","text":"Provides --one solution AMR data analysis One Health approach Generates antibiograms - traditional, combined, syndromic, even WISCA Provides full microbiological taxonomy data antimicrobial drugs Applies recent CLSI EUCAST clinical veterinary breakpoints MICs disk zones Corrects duplicate isolates, calculates predicts AMR per antibiotic class Integrates WHONET, ATC, EARS-Net, PubChem, LOINC SNOMED CT Works Windows, macOS Linux versions R since R-3.0 completely dependency-free, highly suitable places limited resources https://msberends.github.io/AMR https://doi.org/10.18637/jss.v104.i03","code":""},{"path":"https://msberends.github.io/AMR/index.html","id":"introduction","dir":"","previous_headings":"","what":"Introduction","title":"Antimicrobial Resistance Data Analysis","text":"AMR package free open-source R package zero dependencies simplify analysis prediction Antimicrobial Resistance (AMR) work microbial antimicrobial data properties, using evidence-based methods. aim provide standard clean reproducible AMR data analysis, can therefore empower epidemiological analyses continuously enable surveillance treatment evaluation setting. Many different researchers around globe continually helping us make successful durable project! work published Journal Statistical Software (Volume 104(3); DOI 10.18637/jss.v104.i03) formed basis two PhD theses (DOI 10.33612/diss.177417131 DOI 10.33612/diss.192486375). installing package, R knows ~52,000 distinct microbial species (updated December 2022) ~600 antibiotic, antimycotic antiviral drugs name code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC SNOMED CT), knows valid SIR MIC values. integral clinical breakpoint guidelines CLSI EUCAST included, even epidemiological cut-(ECOFF) values. supports can read data format, including WHONET data. package works Windows, macOS Linux versions R since R-3.0 (April 2013). designed work setting, including limited resources. created routine data analysis academic research Faculty Medical Sciences University Groningen, collaboration non-profit organisations Certe Medical Diagnostics Advice Foundation University Medical Center Groningen.","code":""},{"path":"https://msberends.github.io/AMR/index.html","id":"used-in-over-175-countries-translated-into-20-languages","dir":"","previous_headings":"Introduction","what":"Used in over 175 countries, translated into 20 languages","title":"Antimicrobial Resistance Data Analysis","text":"Since first public release early 2018, R package used almost countries world. Click map enlarge see country names. help contributors corners world, AMR package available  English,  Czech,  Chinese,  Danish,  Dutch,  Finnish,  French,  German,  Greek,  Italian,  Japanese,  Norwegian,  Polish,  Portuguese,  Romanian,  Russian,  Spanish,  Swedish,  Turkish,  Ukrainian. Antimicrobial drug (group) names colloquial microorganism names provided languages.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/index.html","id":"filtering-and-selecting-data","dir":"","previous_headings":"Practical examples","what":"Filtering and selecting data","title":"Antimicrobial Resistance Data Analysis","text":"One powerful functions package, aside calculating plotting AMR, selecting filtering based antibiotic columns. can done using -called antibiotic class selectors work base R, dplyr data.table: defined row filter Gram-negative bacteria intrinsic resistance cefotaxime (mo_is_gram_negative() mo_is_intrinsic_resistant()) column selection two antibiotic groups (aminoglycosides() carbapenems()), reference data microorganisms antibiotics AMR package make sure get meant: base R equivalent : base R code work version R since April 2013 (R-3.0). Moreover, code works identically data.table package, starting :","code":"# AMR works great with dplyr, but it's not required or neccesary library(AMR) library(dplyr)  example_isolates %>%   mutate(bacteria = mo_fullname()) %>%   # filtering functions for microorganisms:   filter(mo_is_gram_negative(),          mo_is_intrinsic_resistant(ab = \"cefotax\")) %>%   # antibiotic selectors:   select(bacteria,          aminoglycosides(),          carbapenems()) library(AMR) example_isolates$bacteria <- mo_fullname(example_isolates$mo) example_isolates[which(mo_is_gram_negative() &                          mo_is_intrinsic_resistant(ab = \"cefotax\")),                  c(\"bacteria\", aminoglycosides(), carbapenems())] example_isolates <- data.table::as.data.table(example_isolates)"},{"path":"https://msberends.github.io/AMR/index.html","id":"generating-antibiograms","dir":"","previous_headings":"Practical examples","what":"Generating antibiograms","title":"Antimicrobial Resistance Data Analysis","text":"AMR package supports generating traditional, combined, syndromic, even weighted-incidence syndromic combination antibiograms (WISCA). used inside R Markdown Quarto, table printed right output format automatically (markdown, LaTeX, HTML, etc.). combination antibiograms, clear combined antibiotics yield higher empiric coverage: Like many functions package, antibiogram() comes support 20 languages often detected automatically based system language:","code":"antibiogram(example_isolates,             antibiotics = c(aminoglycosides(), carbapenems())) antibiogram(example_isolates,             antibiotics = c(\"TZP\", \"TZP+TOB\", \"TZP+GEN\"),             mo_transform = \"gramstain\") antibiogram(example_isolates,             antibiotics = c(\"cipro\", \"tobra\", \"genta\"), # any arbitrary name or code will work             mo_transform = \"gramstain\",             ab_transform = \"name\",             language = \"uk\") # Ukrainian"},{"path":"https://msberends.github.io/AMR/index.html","id":"calculating-resistance-per-group","dir":"","previous_headings":"Practical examples","what":"Calculating resistance per group","title":"Antimicrobial Resistance Data Analysis","text":"manual approach, can use resistance susceptibility() function: use antibiotic class selectors select series antibiotic columns:","code":"example_isolates %>%   # group by ward:   group_by(ward) %>%   # calculate AMR using resistance() for gentamicin and tobramycin   # and get their 95% confidence intervals using sir_confidence_interval():   summarise(across(c(GEN, TOB),                    list(total_R = resistance,                         conf_int = function(x) sir_confidence_interval(x, collapse = \"-\")))) library(AMR) library(dplyr)  out <- example_isolates %>%   # group by ward:   group_by(ward) %>%   # calculate AMR using resistance(), over all aminoglycosides and polymyxins:   summarise(across(c(aminoglycosides(), polymyxins()),             resistance)) out # transform the antibiotic columns to names: out %>% set_ab_names() # transform the antibiotic column to ATC codes: out %>% set_ab_names(property = \"atc\")"},{"path":"https://msberends.github.io/AMR/index.html","id":"what-else-can-you-do-with-this-package","dir":"","previous_headings":"","what":"What else can you do with this package?","title":"Antimicrobial Resistance Data Analysis","text":"package intended comprehensive toolbox integrated AMR data analysis. package can used : Reference taxonomy microorganisms, since package contains microbial (sub)species List Prokaryotic names Standing Nomenclature (LPSN) Global Biodiversity Information Facility (GBIF) (manual) Interpreting raw MIC disk diffusion values, based CLSI EUCAST guideline (manual) Retrieving antimicrobial drug names, doses forms administration clinical health care records (manual) Determining first isolates used AMR data analysis (manual) Calculating antimicrobial resistance (tutorial) Determining multi-drug resistance (MDR) / multi-drug resistant organisms (MDRO) (tutorial) Calculating (empirical) susceptibility mono therapy combination therapies (tutorial) Predicting future antimicrobial resistance using regression models (tutorial) Getting properties microorganism (like Gram stain, species, genus family) (manual) Getting properties antibiotic (like name, code EARS-Net/ATC/LOINC/PubChem, defined daily dose trade name) (manual) Plotting antimicrobial resistance (tutorial) Applying EUCAST expert rules (manual) Getting SNOMED codes microorganism, getting properties microorganism based SNOMED code (manual) Getting LOINC codes antibiotic, getting properties antibiotic based LOINC code (manual) Machine reading EUCAST CLSI guidelines 2011-2021 translate MIC values disk diffusion diameters SIR (link) Principal component analysis AMR (tutorial)","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/index.html","id":"latest-official-version","dir":"","previous_headings":"Get this package","what":"Latest official version","title":"Antimicrobial Resistance Data Analysis","text":"package available official R network (CRAN). Install package R CRAN using command: downloaded installed automatically. RStudio, click menu Tools > Install Packages… type “AMR” press Install. Note: functions website may available latest release. use functions data sets mentioned website, install latest development version.","code":"install.packages(\"AMR\")"},{"path":"https://msberends.github.io/AMR/index.html","id":"latest-development-version","dir":"","previous_headings":"Get this package","what":"Latest development version","title":"Antimicrobial Resistance Data Analysis","text":"Please read Developer Guideline . latest unpublished development version can installed GitHub two ways: Manually, using: Automatically, using rOpenSci R-universe platform, adding R-universe address list repositories (‘repos’): , can install update AMR package like official release (e.g., using install.packages(\"AMR\") RStudio via Tools > Check Package Updates…).","code":"install.packages(\"remotes\") # if you haven't already remotes::install_github(\"msberends/AMR\") options(repos = c(getOption(\"repos\"),                   msberends = \"https://msberends.r-universe.dev\"))"},{"path":"https://msberends.github.io/AMR/index.html","id":"get-started","dir":"","previous_headings":"","what":"Get started","title":"Antimicrobial Resistance Data Analysis","text":"find conduct AMR data analysis, please continue reading get started click link ‘’ menu.","code":""},{"path":"https://msberends.github.io/AMR/index.html","id":"partners","dir":"","previous_headings":"","what":"Partners","title":"Antimicrobial Resistance Data Analysis","text":"development package part , related , made possible following non-profit organisations initiatives:","code":""},{"path":"https://msberends.github.io/AMR/index.html","id":"copyright","dir":"","previous_headings":"","what":"Copyright","title":"Antimicrobial Resistance Data Analysis","text":"R package free, open-source software licensed GNU General Public License v2.0 (GPL-2). nutshell, means package: May used commercial purposes May used private purposes May used patent purposes May modified, although: Modifications must released license distributing package Changes made code must documented May distributed, although: Source code must made available package distributed copy license copyright notice must included package. Comes LIMITATION liability Comes warranty","code":""},{"path":"https://msberends.github.io/AMR/reference/AMR-options.html","id":null,"dir":"Reference","previous_headings":"","what":"Options for the AMR package — AMR-options","title":"Options for the AMR package — AMR-options","text":"overview package-specific options() can set AMR package.","code":""},{"path":"https://msberends.github.io/AMR/reference/AMR-options.html","id":"options","dir":"Reference","previous_headings":"","what":"Options","title":"Options for the AMR package — AMR-options","text":"AMR_breakpoint_type  character use .sir(), indicate breakpoint type use. must either \"ECOFF\", \"animal\", \"human\". AMR_cleaning_regex  regular expression (case-insensitive) use .mo() mo_* functions, clean user input. default outcome mo_cleaning_regex(), removes texts brackets texts \"species\" \"serovar\". AMR_custom_ab  file location RDS file, use custom antimicrobial drugs package. explained add_custom_antimicrobials(). AMR_custom_mo  file location RDS file, use custom microorganisms package. explained add_custom_microorganisms(). AMR_eucastrules  character set default types rules eucast_rules() function, must one : \"breakpoints\", \"expert\", \"\", \"custom\", \"\", defaults c(\"breakpoints\", \"expert\"). AMR_guideline  character set default guideline interpreting MIC values disk diffusion diameters .sir(). Can guideline name (e.g., \"CLSI\") name year (e.g. \"CLSI 2019\"). default latest implemented EUCAST guideline, currently \"EUCAST 2023\". Supported guideline currently EUCAST (2011-2023) CLSI (2011-2023). AMR_ignore_pattern  regular expression ignore (.e., make NA) match given .mo() mo_* functions. AMR_include_PKPD  logical use .sir(), indicate PK/PD clinical breakpoints must applied last resort - default TRUE. AMR_include_screening  logical use .sir(), indicate clinical breakpoints screening allowed - default FALSE. AMR_keep_synonyms  logical use .mo() mo_* functions, indicate old, previously valid taxonomic names must preserved corrected currently accepted names. default FALSE. AMR_locale  character set language AMR package, can one supported language names ISO-639-1 codes: English (en), Chinese (zh), Czech (cs), Danish (da), Dutch (nl), Finnish (fi), French (fr), German (de), Greek (el), Italian (), Japanese (ja), Norwegian (), Polish (pl), Portuguese (pt), Romanian (ro), Russian (ru), Spanish (es), Swedish (sv), Turkish (tr), Ukrainian (uk). default current system language (supported, English otherwise). AMR_mo_source  file location manual code list used .mo() mo_* functions. explained set_mo_source().","code":""},{"path":"https://msberends.github.io/AMR/reference/AMR-options.html","id":"saving-settings-between-sessions","dir":"Reference","previous_headings":"","what":"Saving Settings Between Sessions","title":"Options for the AMR package — AMR-options","text":"Settings R saved globally thus lost R exited. can save options .Rprofile file, user-specific file. can edit using:   file, can set options ...   ...add Portuguese language support antibiotics, allow PK/PD rules interpreting MIC values .sir().","code":"utils::file.edit(\"~/.Rprofile\") options(AMR_locale = \"pt\")  options(AMR_include_PKPD = TRUE)"},{"path":"https://msberends.github.io/AMR/reference/AMR-options.html","id":"share-options-within-team","dir":"Reference","previous_headings":"","what":"Share Options Within Team","title":"Options for the AMR package — AMR-options","text":"global approach, e.g. within (data) team, save options file remote file location, shared network drive, user read file automatically start-. work way: Save plain text file e.g. \"X:/team_folder/R_options.R\" fill preferred settings. user, open .Rprofile file using utils::file.edit(\"~/.Rprofile\") put :   Reload R/RStudio check settings getOption(), e.g. getOption(\"AMR_locale\") set value. Now team settings configured one place, can maintained .","code":"source(\"X:/team_folder/R_options.R\")"},{"path":"https://msberends.github.io/AMR/reference/AMR.html","id":null,"dir":"Reference","previous_headings":"","what":"The AMR Package — AMR","title":"The AMR Package — AMR","text":"Welcome AMR package. AMR package free open-source R package zero dependencies simplify analysis prediction Antimicrobial Resistance (AMR) work microbial antimicrobial data properties, using evidence-based methods. aim provide standard clean reproducible AMR data analysis, can therefore empower epidemiological analyses continuously enable surveillance treatment evaluation setting. Many different researchers around globe continually helping us make successful durable project! work published Journal Statistical Software (Volume 104(3); doi:10.18637/jss.v104.i03 ) formed basis two PhD theses (doi:10.33612/diss.177417131  doi:10.33612/diss.192486375 ). installing package, R knows ~52 000 microorganisms (updated January 2024) ~600 antibiotic, antimycotic antiviral drugs name code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC SNOMED CT), knows valid SIR MIC values. integral clinical breakpoint guidelines CLSI EUCAST included, even epidemiological cut-(ECOFF) values. supports can read data format, including WHONET data. package works Windows, macOS Linux versions R since R-3.0 (April 2013). designed work setting, including limited resources. created routine data analysis academic research Faculty Medical Sciences public University Groningen, collaboration non-profit organisations Certe Medical Diagnostics Advice Foundation University Medical Center Groningen. AMR package available English, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Italian, Japanese, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, Ukrainian. Antimicrobial drug (group) names colloquial microorganism names provided languages.","code":""},{"path":"https://msberends.github.io/AMR/reference/AMR.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"The AMR Package — AMR","text":"cite AMR publications use: Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C (2022). \"AMR: R Package Working Antimicrobial Resistance Data.\" Journal Statistical Software, 104(3), 1-31. doi:10.18637/jss.v104.i03 BibTeX entry LaTeX users :","code":"@Article{,   title = {{AMR}: An {R} Package for Working with Antimicrobial Resistance Data},   author = {Matthijs S. Berends and Christian F. Luz and Alexander W. Friedrich and Bhanu N. M. Sinha and Casper J. Albers and Corinna Glasner},   journal = {Journal of Statistical Software},   year = {2022},   volume = {104},   number = {3},   pages = {1--31},   doi = {10.18637/jss.v104.i03}, }"},{"path":"https://msberends.github.io/AMR/reference/AMR.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"The AMR Package — AMR","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/AMR.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"The AMR Package — AMR","text":"Maintainer: Matthijs S. Berends m.s.berends@umcg.nl (ORCID) Authors: Dennis Souverein (ORCID) [contributor] Erwin E. . Hassing [contributor] contributors: Casper J. Albers (ORCID) [thesis advisor] Peter Dutey-Magni (ORCID) [contributor] Judith M. Fonville [contributor] Alex W. Friedrich (ORCID) [thesis advisor] Corinna Glasner (ORCID) [thesis advisor] Eric H. L. C. M. Hazenberg [contributor] Gwen Knight (ORCID) [contributor] Annick Lenglet (ORCID) [contributor] Christian F. Luz (ORCID) [contributor] Bart C. Meijer [contributor] Dmytro Mykhailenko [contributor] Anton Mymrikov [contributor] Andrew P. Norgan (ORCID) [contributor] Sofia Ny (ORCID) [contributor] Matthew Saab [contributor] Jonas Salm [contributor] Javier Sanchez (ORCID) [contributor] Rogier P. Schade [contributor] Bhanu N. M. Sinha (ORCID) [thesis advisor] Jason Stull (ORCID) [contributor] Anthony Underwood (ORCID) [contributor] Anita Williams (ORCID) [contributor]","code":""},{"path":"https://msberends.github.io/AMR/reference/WHOCC.html","id":null,"dir":"Reference","previous_headings":"","what":"WHOCC: WHO Collaborating Centre for Drug Statistics Methodology — WHOCC","title":"WHOCC: WHO Collaborating Centre for Drug Statistics Methodology — WHOCC","text":"antimicrobial drugs official names, ATC codes, ATC groups defined daily dose (DDD) included package, using Collaborating Centre Drug Statistics Methodology.","code":""},{"path":"https://msberends.github.io/AMR/reference/WHOCC.html","id":"whocc","dir":"Reference","previous_headings":"","what":"WHOCC","title":"WHOCC: WHO Collaborating Centre for Drug Statistics Methodology — WHOCC","text":"package contains ~550 antibiotic, antimycotic antiviral drugs Anatomical Therapeutic Chemical (ATC) codes, ATC groups Defined Daily Dose (DDD) World Health Organization Collaborating Centre Drug Statistics Methodology (WHOCC, https://www.whocc.) Pharmaceuticals Community Register European Commission (https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm). become gold standard international drug utilisation monitoring research. WHOCC located Oslo Norwegian Institute Public Health funded Norwegian government. European Commission executive European Union promotes general interest. NOTE: WHOCC copyright allow use commercial purposes, unlike info package. See https://www.whocc./copyright_disclaimer/.","code":""},{"path":"https://msberends.github.io/AMR/reference/WHOCC.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"WHOCC: WHO Collaborating Centre for Drug Statistics Methodology — WHOCC","text":"","code":"as.ab(\"meropenem\") #> Class 'ab' #> [1] MEM ab_name(\"J01DH02\") #> [1] \"Meropenem\"  ab_tradenames(\"flucloxacillin\") #>  [1] \"culpen\"               \"floxacillin\"          \"floxacillin sodium\"   #>  [4] \"floxapen\"             \"floxapen sodium salt\" \"fluclox\"              #>  [7] \"flucloxacilina\"       \"flucloxacillin\"       \"flucloxacilline\"      #> [10] \"flucloxacillinum\"     \"fluorochloroxacillin\" \"staphylex\""},{"path":"https://msberends.github.io/AMR/reference/WHONET.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with 500 Isolates - WHONET Example — WHONET","title":"Data Set with 500 Isolates - WHONET Example — WHONET","text":"example data set exact structure export file WHONET. files can used package, example data set shows. antibiotic results example_isolates data set. patient names created using online surname generators place practice purposes.","code":""},{"path":"https://msberends.github.io/AMR/reference/WHONET.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with 500 Isolates - WHONET Example — WHONET","text":"","code":"WHONET"},{"path":"https://msberends.github.io/AMR/reference/WHONET.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with 500 Isolates - WHONET Example — WHONET","text":"tibble 500 observations 53 variables: Identification number ID sample Specimen number ID specimen Organism Name microorganism. analysis, transform valid microbial class, using .mo(). Country Country origin Laboratory Name laboratory Last name Fictitious last name patient First name Fictitious initial patient Sex Fictitious gender patient Age Fictitious age patient Age category Age group, can also looked using age_groups() Date admissionDate hospital admission Specimen dateDate specimen received laboratory Specimen type Specimen type group Specimen type (Numeric) Translation \"Specimen type\" Reason Reason request Differential Diagnosis Isolate number ID isolate Organism type Type microorganism, can also looked using mo_type() Serotype Serotype microorganism Beta-lactamase Microorganism produces beta-lactamase? ESBL Microorganism produces extended spectrum beta-lactamase? Carbapenemase Microorganism produces carbapenemase? MRSA screening test Microorganism possible MRSA? Inducible clindamycin resistance Clindamycin can induced? Comment comments Date data entryDate data entered WHONET AMP_ND10:CIP_EE 28 different antibiotics. can lookup abbreviations antibiotics data set, use e.g. ab_name(\"AMP\") get official name immediately. analysis, transform valid antibiotic class, using .sir().","code":""},{"path":"https://msberends.github.io/AMR/reference/WHONET.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with 500 Isolates - WHONET Example — WHONET","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/WHONET.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with 500 Isolates - WHONET Example — WHONET","text":"","code":"WHONET #> # A tibble: 500 × 53 #>    `Identification number` `Specimen number` Organism Country         Laboratory #>    <chr>                               <int> <chr>    <chr>           <chr>      #>  1 fe41d7bafa                           1748 SPN      Belgium         National … #>  2 91f175ec37                           1767 eco      The Netherlands National … #>  3 cc4015056e                           1343 eco      The Netherlands National … #>  4 e864b692f5                           1894 MAP      Denmark         National … #>  5 3d051fe345                           1739 PVU      Belgium         National … #>  6 c80762a08d                           1846 103      The Netherlands National … #>  7 8022d3727c                           1628 103      Denmark         National … #>  8 f3dc5f553d                           1493 eco      The Netherlands National … #>  9 15add38f6c                           1847 eco      France          National … #> 10 fd41248def                           1458 eco      Germany         National … #> # ℹ 490 more rows #> # ℹ 48 more variables: `Last name` <chr>, `First name` <chr>, Sex <chr>, #> #   Age <dbl>, `Age category` <chr>, `Date of admission` <date>, #> #   `Specimen date` <date>, `Specimen type` <chr>, #> #   `Specimen type (Numeric)` <dbl>, Reason <chr>, `Isolate number` <int>, #> #   `Organism type` <chr>, Serotype <chr>, `Beta-lactamase` <lgl>, ESBL <lgl>, #> #   Carbapenemase <lgl>, `MRSA screening test` <lgl>, …"},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"Use function e.g. clinical texts health care records. returns list antimicrobial drugs, doses forms administration found texts.","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"","code":"ab_from_text(   text,   type = c(\"drug\", \"dose\", \"administration\"),   collapse = NULL,   translate_ab = FALSE,   thorough_search = NULL,   info = interactive(),   ... )"},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"text text analyse type type property search , either \"drug\", \"dose\" \"administration\", see Examples collapse character pass paste(, collapse = ...) return one character per element text, see Examples translate_ab type = \"drug\": column name antibiotics data set translate antibiotic abbreviations , using ab_property(). default FALSE. Using TRUE equal using \"name\". thorough_search logical indicate whether input must extensively searched misspelling faulty input values. Setting TRUE take considerably time using FALSE. default, turn TRUE input elements contain maximum three words. info logical indicate whether progress bar printed - default TRUE interactive mode ... arguments passed .ab()","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"list,  character collapse NULL","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"function also internally used .ab(), although searches first drug name throw note drug names returned. Note: .ab() function may use long regular expression match brand names antimicrobial drugs. may fail systems.","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"argument-type","dir":"Reference","previous_headings":"","what":"Argument type","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"default, function search antimicrobial drug names. text elements searched official names, ATC codes brand names. uses .ab() internally, correct misspelling. type = \"dose\" (similar, like \"dosing\", \"doses\"), text elements searched numeric values higher 100 resemble years. output numeric. supports unit (g, mg, IE, etc.) multiple values one clinical text, see Examples. type = \"administration\" (abbreviations, like \"admin\", \"adm\"), text elements searched form drug administration. supports following forms (including common abbreviations): buccal, implant, inhalation, instillation, intravenous, nasal, oral, parenteral, rectal, sublingual, transdermal vaginal. Abbreviations oral ('po', 'per os') become \"oral\", values intravenous ('iv', 'intraven') become \"iv\". supports multiple values one clinical text, see Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"argument-collapse","dir":"Reference","previous_headings":"","what":"Argument collapse","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"Without using collapse, function return list. can convenient use e.g. inside mutate()):df %>% mutate(abx = ab_from_text(clinical_text)) returned AB codes can transformed official names, groups, etc. ab_* functions ab_name() ab_group(), using translate_ab argument. using collapse, function return character:df %>% mutate(abx = ab_from_text(clinical_text, collapse = \"|\"))","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_from_text.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text","text":"","code":"# mind the bad spelling of amoxicillin in this line, # straight from a true health care record: ab_from_text(\"28/03/2020 regular amoxicilliin 500mg po tid\") #> [[1]] #> Class 'ab' #> [1] AMX #>   ab_from_text(\"500 mg amoxi po and 400mg cipro iv\") #> [[1]] #> Class 'ab' #> [1] AMX CIP #>  ab_from_text(\"500 mg amoxi po and 400mg cipro iv\", type = \"dose\") #> [[1]] #> [1] 500 400 #>  ab_from_text(\"500 mg amoxi po and 400mg cipro iv\", type = \"admin\") #> [[1]] #> [1] \"oral\" \"iv\"   #>   ab_from_text(\"500 mg amoxi po and 400mg cipro iv\", collapse = \", \") #> [1] \"AMX, CIP\" # \\donttest{ # if you want to know which antibiotic groups were administered, do e.g.: abx <- ab_from_text(\"500 mg amoxi po and 400mg cipro iv\") ab_group(abx[[1]]) #> [1] \"Beta-lactams/penicillins\" \"Quinolones\"                if (require(\"dplyr\")) {   tibble(clinical_text = c(     \"given 400mg cipro and 500 mg amox\",     \"started on doxy iv today\"   )) %>%     mutate(       abx_codes = ab_from_text(clinical_text),       abx_doses = ab_from_text(clinical_text, type = \"doses\"),       abx_admin = ab_from_text(clinical_text, type = \"admin\"),       abx_coll = ab_from_text(clinical_text, collapse = \"|\"),       abx_coll_names = ab_from_text(clinical_text,         collapse = \"|\",         translate_ab = \"name\"       ),       abx_coll_doses = ab_from_text(clinical_text,         type = \"doses\",         collapse = \"|\"       ),       abx_coll_admin = ab_from_text(clinical_text,         type = \"admin\",         collapse = \"|\"       )     ) } #> Loading required package: dplyr #>  #> Attaching package: ‘dplyr’ #> The following objects are masked from ‘package:stats’: #>  #>     filter, lag #> The following objects are masked from ‘package:base’: #>  #>     intersect, setdiff, setequal, union #> # A tibble: 2 × 8 #>   clinical_text            abx_codes abx_doses abx_admin abx_coll abx_coll_names #>   <chr>                    <list>    <list>    <list>    <chr>    <chr>          #> 1 given 400mg cipro and 5… <ab [2]>  <dbl [2]> <chr [1]> CIP|AMX  Ciprofloxacin… #> 2 started on doxy iv today <ab [1]>  <dbl [1]> <chr [1]> DOX      Doxycycline    #> # ℹ 2 more variables: abx_coll_doses <chr>, abx_coll_admin <chr> # }"},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Properties of an Antibiotic — ab_property","title":"Get Properties of an Antibiotic — ab_property","text":"Use functions return specific property antibiotic antibiotics data set. input values evaluated internally .ab().","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Properties of an Antibiotic — ab_property","text":"","code":"ab_name(x, language = get_AMR_locale(), tolower = FALSE, ...)  ab_cid(x, ...)  ab_synonyms(x, ...)  ab_tradenames(x, ...)  ab_group(x, language = get_AMR_locale(), ...)  ab_atc(x, only_first = FALSE, ...)  ab_atc_group1(x, language = get_AMR_locale(), ...)  ab_atc_group2(x, language = get_AMR_locale(), ...)  ab_loinc(x, ...)  ab_ddd(x, administration = \"oral\", ...)  ab_ddd_units(x, administration = \"oral\", ...)  ab_info(x, language = get_AMR_locale(), ...)  ab_url(x, open = FALSE, ...)  ab_property(x, property = \"name\", language = get_AMR_locale(), ...)  set_ab_names(   data,   ...,   property = \"name\",   language = get_AMR_locale(),   snake_case = NULL )"},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Properties of an Antibiotic — ab_property","text":"x (vector ) text can coerced valid antibiotic drug code .ab() language language returned text - default current system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. tolower logical indicate whether first character every output transformed lower case character. lead e.g. \"polymyxin B\" \"polymyxin b\". ... case set_ab_names() data data.frame: columns select (supports tidy selection column1:column4), otherwise arguments passed .ab() only_first logical indicate whether first ATC code must returned, giving preference J0-codes (.e., antimicrobial drug group) administration way administration, either \"oral\" \"iv\" open browse URL using utils::browseURL() property one column names one antibiotics data set: vector_or(colnames(antibiotics), sort = FALSE). data data.frame columns need renamed, character vector column names snake_case logical indicate whether names -called snake case: lower case spaces/slashes replaced underscore (_)","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Properties of an Antibiotic — ab_property","text":"integer case ab_cid() named list case ab_info() multiple ab_atc()/ab_synonyms()/ab_tradenames() double case ab_ddd() data.frame case set_ab_names() character cases","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get Properties of an Antibiotic — ab_property","text":"output translated possible. function ab_url() return direct URL official website. warning returned required ATC code available. function set_ab_names() special column renaming function data.frames. renames columns names resemble antimicrobial drugs. always makes sure new column names unique. property = \"atc\" set, preference given ATC codes J-group.","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Get Properties of an Antibiotic — ab_property","text":"World Health Organization () Collaborating Centre Drug Statistics Methodology: https://www.whocc./atc_ddd_index/ European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm","code":""},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Get Properties of an Antibiotic — ab_property","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/ab_property.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get Properties of an Antibiotic — ab_property","text":"","code":"# all properties: ab_name(\"AMX\") #> [1] \"Amoxicillin\" ab_atc(\"AMX\") #> [1] \"J01CA04\" ab_cid(\"AMX\") #> [1] 33613 ab_synonyms(\"AMX\") #>  [1] \"actimoxi\"            \"amoclen\"             \"amolin\"              #>  [4] \"amopen\"              \"amopenixin\"          \"amoxibiotic\"         #>  [7] \"amoxicaps\"           \"amoxicilina\"         \"amoxicillin\"         #> [10] \"amoxicillin hydrate\" \"amoxicilline\"        \"amoxicillinum\"       #> [13] \"amoxiden\"            \"amoxil\"              \"amoxivet\"            #> [16] \"amoxy\"               \"amoxycillin\"         \"amoxyke\"             #> [19] \"anemolin\"            \"aspenil\"             \"atoksilin\"           #> [22] \"biomox\"              \"bristamox\"           \"cemoxin\"             #> [25] \"clamoxyl\"            \"damoxy\"              \"delacillin\"          #> [28] \"demoksil\"            \"dispermox\"           \"efpenix\"             #> [31] \"flemoxin\"            \"hiconcil\"            \"histocillin\"         #> [34] \"hydroxyampicillin\"   \"ibiamox\"             \"imacillin\"           #> [37] \"lamoxy\"              \"largopen\"            \"metafarma capsules\"  #> [40] \"metifarma capsules\"  \"moksilin\"            \"moxacin\"             #> [43] \"moxatag\"             \"ospamox\"             \"pamoxicillin\"        #> [46] \"piramox\"             \"promoxil\"            \"remoxil\"             #> [49] \"robamox\"             \"sawamox pm\"          \"tolodina\"            #> [52] \"topramoxin\"          \"unicillin\"           \"utimox\"              #> [55] \"vetramox\"            ab_tradenames(\"AMX\") #>  [1] \"actimoxi\"            \"amoclen\"             \"amolin\"              #>  [4] \"amopen\"              \"amopenixin\"          \"amoxibiotic\"         #>  [7] \"amoxicaps\"           \"amoxicilina\"         \"amoxicillin\"         #> [10] \"amoxicillin hydrate\" \"amoxicilline\"        \"amoxicillinum\"       #> [13] \"amoxiden\"            \"amoxil\"              \"amoxivet\"            #> [16] \"amoxy\"               \"amoxycillin\"         \"amoxyke\"             #> [19] \"anemolin\"            \"aspenil\"             \"atoksilin\"           #> [22] \"biomox\"              \"bristamox\"           \"cemoxin\"             #> [25] \"clamoxyl\"            \"damoxy\"              \"delacillin\"          #> [28] \"demoksil\"            \"dispermox\"           \"efpenix\"             #> [31] \"flemoxin\"            \"hiconcil\"            \"histocillin\"         #> [34] \"hydroxyampicillin\"   \"ibiamox\"             \"imacillin\"           #> [37] \"lamoxy\"              \"largopen\"            \"metafarma capsules\"  #> [40] \"metifarma capsules\"  \"moksilin\"            \"moxacin\"             #> [43] \"moxatag\"             \"ospamox\"             \"pamoxicillin\"        #> [46] \"piramox\"             \"promoxil\"            \"remoxil\"             #> [49] \"robamox\"             \"sawamox pm\"          \"tolodina\"            #> [52] \"topramoxin\"          \"unicillin\"           \"utimox\"              #> [55] \"vetramox\"            ab_group(\"AMX\") #> [1] \"Beta-lactams/penicillins\" ab_atc_group1(\"AMX\") #> [1] \"Beta-lactam antibacterials, penicillins\" ab_atc_group2(\"AMX\") #> [1] \"Penicillins with extended spectrum\" ab_url(\"AMX\") #>                                                           Amoxicillin  #> \"https://www.whocc.no/atc_ddd_index/?code=J01CA04&showdescription=no\"   # smart lowercase transformation ab_name(x = c(\"AMC\", \"PLB\")) #> [1] \"Amoxicillin/clavulanic acid\" \"Polymyxin B\"                 ab_name(x = c(\"AMC\", \"PLB\"), tolower = TRUE) #> [1] \"amoxicillin/clavulanic acid\" \"polymyxin B\"                  # defined daily doses (DDD) ab_ddd(\"AMX\", \"oral\") #> [1] 1.5 ab_ddd_units(\"AMX\", \"oral\") #> [1] \"g\" ab_ddd(\"AMX\", \"iv\") #> [1] 3 ab_ddd_units(\"AMX\", \"iv\") #> [1] \"g\"  ab_info(\"AMX\") # all properties as a list #> $ab #> [1] \"AMX\" #>  #> $cid #> [1] 33613 #>  #> $name #> [1] \"Amoxicillin\" #>  #> $group #> [1] \"Beta-lactams/penicillins\" #>  #> $atc #> [1] \"J01CA04\" #>  #> $atc_group1 #> [1] \"Beta-lactam antibacterials, penicillins\" #>  #> $atc_group2 #> [1] \"Penicillins with extended spectrum\" #>  #> $tradenames #>  [1] \"actimoxi\"            \"amoclen\"             \"amolin\"              #>  [4] \"amopen\"              \"amopenixin\"          \"amoxibiotic\"         #>  [7] \"amoxicaps\"           \"amoxicilina\"         \"amoxicillin\"         #> [10] \"amoxicillin hydrate\" \"amoxicilline\"        \"amoxicillinum\"       #> [13] \"amoxiden\"            \"amoxil\"              \"amoxivet\"            #> [16] \"amoxy\"               \"amoxycillin\"         \"amoxyke\"             #> [19] \"anemolin\"            \"aspenil\"             \"atoksilin\"           #> [22] \"biomox\"              \"bristamox\"           \"cemoxin\"             #> [25] \"clamoxyl\"            \"damoxy\"              \"delacillin\"          #> [28] \"demoksil\"            \"dispermox\"           \"efpenix\"             #> [31] \"flemoxin\"            \"hiconcil\"            \"histocillin\"         #> [34] \"hydroxyampicillin\"   \"ibiamox\"             \"imacillin\"           #> [37] \"lamoxy\"              \"largopen\"            \"metafarma capsules\"  #> [40] \"metifarma capsules\"  \"moksilin\"            \"moxacin\"             #> [43] \"moxatag\"             \"ospamox\"             \"pamoxicillin\"        #> [46] \"piramox\"             \"promoxil\"            \"remoxil\"             #> [49] \"robamox\"             \"sawamox pm\"          \"tolodina\"            #> [52] \"topramoxin\"          \"unicillin\"           \"utimox\"              #> [55] \"vetramox\"            #>  #> $loinc #>  [1] \"101498-4\" \"15-8\"     \"16-6\"     \"16365-9\"  \"17-4\"     \"18-2\"     #>  [7] \"18861-5\"  \"18862-3\"  \"19-0\"     \"20-8\"     \"21-6\"     \"22-4\"     #> [13] \"25274-2\"  \"25310-4\"  \"3344-9\"   \"55614-2\"  \"55615-9\"  \"55616-7\"  #> [19] \"6976-5\"   \"6977-3\"   \"80133-2\"  #>  #> $ddd #> $ddd$oral #> $ddd$oral$amount #> [1] 1.5 #>  #> $ddd$oral$units #> [1] \"g\" #>  #>  #> $ddd$iv #> $ddd$iv$amount #> [1] 3 #>  #> $ddd$iv$units #> [1] \"g\" #>  #>  #>   # all ab_* functions use as.ab() internally, so you can go from 'any' to 'any': ab_atc(\"AMP\") #> [1] \"J01CA01\" \"S01AA19\" ab_group(\"J01CA01\") #> [1] \"Beta-lactams/penicillins\" ab_loinc(\"ampicillin\") #>  [1] \"101477-8\" \"101478-6\" \"18864-9\"  \"18865-6\"  \"20374-5\"  \"21066-6\"  #>  [7] \"23618-2\"  \"27-3\"     \"28-1\"     \"29-9\"     \"30-7\"     \"31-5\"     #> [13] \"32-3\"     \"33-1\"     \"3355-5\"   \"33562-0\"  \"33919-2\"  \"34-9\"     #> [19] \"43883-8\"  \"43884-6\"  \"6979-9\"   \"6980-7\"   \"87604-5\"  ab_name(\"21066-6\") #> [1] \"Ampicillin\" ab_name(6249) #> [1] \"Ampicillin\" ab_name(\"J01CA01\") #> [1] \"Ampicillin\"  # spelling from different languages and dyslexia are no problem ab_atc(\"ceftriaxon\") #> [1] \"J01DD04\" ab_atc(\"cephtriaxone\") #> [1] \"J01DD04\" ab_atc(\"cephthriaxone\") #> [1] \"J01DD04\" ab_atc(\"seephthriaaksone\") #> [1] \"J01DD04\"  # use set_ab_names() for renaming columns colnames(example_isolates) #>  [1] \"date\"    \"patient\" \"age\"     \"gender\"  \"ward\"    \"mo\"      \"PEN\"     #>  [8] \"OXA\"     \"FLC\"     \"AMX\"     \"AMC\"     \"AMP\"     \"TZP\"     \"CZO\"     #> [15] \"FEP\"     \"CXM\"     \"FOX\"     \"CTX\"     \"CAZ\"     \"CRO\"     \"GEN\"     #> [22] \"TOB\"     \"AMK\"     \"KAN\"     \"TMP\"     \"SXT\"     \"NIT\"     \"FOS\"     #> [29] \"LNZ\"     \"CIP\"     \"MFX\"     \"VAN\"     \"TEC\"     \"TCY\"     \"TGC\"     #> [36] \"DOX\"     \"ERY\"     \"CLI\"     \"AZM\"     \"IPM\"     \"MEM\"     \"MTR\"     #> [43] \"CHL\"     \"COL\"     \"MUP\"     \"RIF\"     colnames(set_ab_names(example_isolates)) #>  [1] \"date\"                          \"patient\"                       #>  [3] \"age\"                           \"gender\"                        #>  [5] \"ward\"                          \"mo\"                            #>  [7] \"benzylpenicillin\"              \"oxacillin\"                     #>  [9] \"flucloxacillin\"                \"amoxicillin\"                   #> [11] \"amoxicillin_clavulanic_acid\"   \"ampicillin\"                    #> [13] \"piperacillin_tazobactam\"       \"cefazolin\"                     #> [15] \"cefepime\"                      \"cefuroxime\"                    #> [17] \"cefoxitin\"                     \"cefotaxime\"                    #> [19] \"ceftazidime\"                   \"ceftriaxone\"                   #> [21] \"gentamicin\"                    \"tobramycin\"                    #> [23] \"amikacin\"                      \"kanamycin\"                     #> [25] \"trimethoprim\"                  \"trimethoprim_sulfamethoxazole\" #> [27] \"nitrofurantoin\"                \"fosfomycin\"                    #> [29] \"linezolid\"                     \"ciprofloxacin\"                 #> [31] \"moxifloxacin\"                  \"vancomycin\"                    #> [33] \"teicoplanin\"                   \"tetracycline\"                  #> [35] \"tigecycline\"                   \"doxycycline\"                   #> [37] \"erythromycin\"                  \"clindamycin\"                   #> [39] \"azithromycin\"                  \"imipenem\"                      #> [41] \"meropenem\"                     \"metronidazole\"                 #> [43] \"chloramphenicol\"               \"colistin\"                      #> [45] \"mupirocin\"                     \"rifampicin\"                    colnames(set_ab_names(example_isolates, NIT:VAN)) #>  [1] \"date\"           \"patient\"        \"age\"            \"gender\"         #>  [5] \"ward\"           \"mo\"             \"PEN\"            \"OXA\"            #>  [9] \"FLC\"            \"AMX\"            \"AMC\"            \"AMP\"            #> [13] \"TZP\"            \"CZO\"            \"FEP\"            \"CXM\"            #> [17] \"FOX\"            \"CTX\"            \"CAZ\"            \"CRO\"            #> [21] \"GEN\"            \"TOB\"            \"AMK\"            \"KAN\"            #> [25] \"TMP\"            \"SXT\"            \"nitrofurantoin\" \"fosfomycin\"     #> [29] \"linezolid\"      \"ciprofloxacin\"  \"moxifloxacin\"   \"vancomycin\"     #> [33] \"TEC\"            \"TCY\"            \"TGC\"            \"DOX\"            #> [37] \"ERY\"            \"CLI\"            \"AZM\"            \"IPM\"            #> [41] \"MEM\"            \"MTR\"            \"CHL\"            \"COL\"            #> [45] \"MUP\"            \"RIF\"            # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     set_ab_names()    # this does the same:   example_isolates %>%     rename_with(set_ab_names)    # set_ab_names() works with any AB property:   example_isolates %>%     set_ab_names(property = \"atc\")    example_isolates %>%     set_ab_names(where(is.sir)) %>%     colnames()    example_isolates %>%     set_ab_names(NIT:VAN) %>%     colnames() } #>  [1] \"date\"           \"patient\"        \"age\"            \"gender\"         #>  [5] \"ward\"           \"mo\"             \"PEN\"            \"OXA\"            #>  [9] \"FLC\"            \"AMX\"            \"AMC\"            \"AMP\"            #> [13] \"TZP\"            \"CZO\"            \"FEP\"            \"CXM\"            #> [17] \"FOX\"            \"CTX\"            \"CAZ\"            \"CRO\"            #> [21] \"GEN\"            \"TOB\"            \"AMK\"            \"KAN\"            #> [25] \"TMP\"            \"SXT\"            \"nitrofurantoin\" \"fosfomycin\"     #> [29] \"linezolid\"      \"ciprofloxacin\"  \"moxifloxacin\"   \"vancomycin\"     #> [33] \"TEC\"            \"TCY\"            \"TGC\"            \"DOX\"            #> [37] \"ERY\"            \"CLI\"            \"AZM\"            \"IPM\"            #> [41] \"MEM\"            \"MTR\"            \"CHL\"            \"COL\"            #> [45] \"MUP\"            \"RIF\"            # }"},{"path":"https://msberends.github.io/AMR/reference/add_custom_antimicrobials.html","id":null,"dir":"Reference","previous_headings":"","what":"Add Custom Antimicrobials — add_custom_antimicrobials","title":"Add Custom Antimicrobials — add_custom_antimicrobials","text":"add_custom_antimicrobials() can add custom antimicrobial drug names codes.","code":""},{"path":"https://msberends.github.io/AMR/reference/add_custom_antimicrobials.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add Custom Antimicrobials — add_custom_antimicrobials","text":"","code":"add_custom_antimicrobials(x)  clear_custom_antimicrobials()"},{"path":"https://msberends.github.io/AMR/reference/add_custom_antimicrobials.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add Custom Antimicrobials — add_custom_antimicrobials","text":"x data.frame resembling antibiotics data set, least containing columns \"ab\" \"name\"","code":""},{"path":"https://msberends.github.io/AMR/reference/add_custom_antimicrobials.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Add Custom Antimicrobials — add_custom_antimicrobials","text":"Important: Due R works, add_custom_antimicrobials() function run every R session - added antimicrobials stored sessions thus lost R exited. two ways circumvent automate process adding antimicrobials: Method 1: Using package option AMR_custom_ab, preferred method. use method: Create data set structure antibiotics data set (containing least columns \"ab\" \"name\") save saveRDS() location choice, e.g. \"~/my_custom_ab.rds\", remote location. Set file location package option AMR_custom_ab: options(AMR_custom_ab = \"~/my_custom_ab.rds\"). can even remote file location, https URL. Since options saved R sessions, best save option .Rprofile file loaded start-R. , open .Rprofile file using e.g. utils::file.edit(\"~/.Rprofile\"), add text save file:   Upon package load, file loaded run add_custom_antimicrobials() function. Method 2: Loading antimicrobial additions directly .Rprofile file. Note definitions stored user-specific R file, suboptimal workflow. use method: Edit .Rprofile file using e.g. utils::file.edit(\"~/.Rprofile\"). Add text like save file:   Use clear_custom_antimicrobials() clear previously added antimicrobials.","code":"# Add custom antimicrobial codes: options(AMR_custom_ab = \"~/my_custom_ab.rds\") # Add custom antibiotic drug codes:  AMR::add_custom_antimicrobials(    data.frame(ab = \"TESTAB\",               name = \"Test Antibiotic\",               group = \"Test Group\")  )"},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/add_custom_antimicrobials.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add Custom Antimicrobials — add_custom_antimicrobials","text":"","code":"# \\donttest{  # returns NA and throws a warning (which is suppressed here): suppressWarnings(   as.ab(\"testab\") ) #> Class 'ab' #> [1] <NA>  # now add a custom entry - it will be considered by as.ab() and # all ab_*() functions add_custom_antimicrobials(   data.frame(     ab = \"TESTAB\",     name = \"Test Antibiotic\",     # you can add any property present in the     # 'antibiotics' data set, such as 'group':     group = \"Test Group\"   ) ) #> ℹ Added one record to the internal antibiotics data set.  # \"testab\" is now a new antibiotic: as.ab(\"testab\") #> Class 'ab' #> [1] TESTAB ab_name(\"testab\") #> [1] \"Test Antibiotic\" ab_group(\"testab\") #> [1] \"Test Group\"  ab_info(\"testab\") #> $ab #> [1] \"TESTAB\" #>  #> $cid #> [1] NA #>  #> $name #> [1] \"Test Antibiotic\" #>  #> $group #> [1] \"Test Group\" #>  #> $atc #> [1] NA #>  #> $atc_group1 #> [1] NA #>  #> $atc_group2 #> [1] NA #>  #> $tradenames #> [1] NA #>  #> $loinc #> [1] NA #>  #> $ddd #> $ddd$oral #> $ddd$oral$amount #> [1] NA #>  #> $ddd$oral$units #> [1] NA #>  #>  #> $ddd$iv #> $ddd$iv$amount #> [1] NA #>  #> $ddd$iv$units #> [1] NA #>  #>  #>    # Add Co-fluampicil, which is one of the many J01CR50 codes, see # https://www.whocc.no/ddd/list_of_ddds_combined_products/ add_custom_antimicrobials(   data.frame(     ab = \"COFLU\",     name = \"Co-fluampicil\",     atc = \"J01CR50\",     group = \"Beta-lactams/penicillins\"   ) ) #> ℹ Added one record to the internal antibiotics data set. ab_atc(\"Co-fluampicil\") #> [1] \"J01CR50\" ab_name(\"J01CR50\") #> [1] \"Co-fluampicil\"  # even antibiotic selectors work x <- data.frame(   random_column = \"some value\",   coflu = as.sir(\"S\"),   ampicillin = as.sir(\"R\") ) x #>   random_column coflu ampicillin #> 1    some value     S          R x[, betalactams()] #> ℹ For betalactams() using columns 'coflu' (co-fluampicil) and #>   'ampicillin' #>   coflu ampicillin #> 1     S          R # }"},{"path":"https://msberends.github.io/AMR/reference/add_custom_microorganisms.html","id":null,"dir":"Reference","previous_headings":"","what":"Add Custom Microorganisms — add_custom_microorganisms","title":"Add Custom Microorganisms — add_custom_microorganisms","text":"add_custom_microorganisms() can add custom microorganisms, non-taxonomic outcome laboratory analysis.","code":""},{"path":"https://msberends.github.io/AMR/reference/add_custom_microorganisms.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add Custom Microorganisms — add_custom_microorganisms","text":"","code":"add_custom_microorganisms(x)  clear_custom_microorganisms()"},{"path":"https://msberends.github.io/AMR/reference/add_custom_microorganisms.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add Custom Microorganisms — add_custom_microorganisms","text":"x data.frame resembling microorganisms data set, least containing column \"genus\" (case-insensitive)","code":""},{"path":"https://msberends.github.io/AMR/reference/add_custom_microorganisms.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Add Custom Microorganisms — add_custom_microorganisms","text":"function fill missing taxonomy , specific taxonomic columns missing, see Examples. Important: Due R works, add_custom_microorganisms() function run every R session - added microorganisms stored sessions thus lost R exited. two ways circumvent automate process adding microorganisms: Method 1: Using package option AMR_custom_mo, preferred method. use method: Create data set structure microorganisms data set (containing least column \"genus\") save saveRDS() location choice, e.g. \"~/my_custom_mo.rds\", remote location. Set file location package option AMR_custom_mo: options(AMR_custom_mo = \"~/my_custom_mo.rds\"). can even remote file location, https URL. Since options saved R sessions, best save option .Rprofile file loaded start-R. , open .Rprofile file using e.g. utils::file.edit(\"~/.Rprofile\"), add text save file:   Upon package load, file loaded run add_custom_microorganisms() function. Method 2: Loading microorganism directly .Rprofile file. Note definitions stored user-specific R file, suboptimal workflow. use method: Edit .Rprofile file using e.g. utils::file.edit(\"~/.Rprofile\"). Add text like save file:   Use clear_custom_microorganisms() clear previously added microorganisms.","code":"# Add custom microorganism codes: options(AMR_custom_mo = \"~/my_custom_mo.rds\") # Add custom antibiotic drug codes:  AMR::add_custom_microorganisms(    data.frame(genus = \"Enterobacter\",               species = \"asburiae/cloacae\")  )"},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/add_custom_microorganisms.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add Custom Microorganisms — add_custom_microorganisms","text":"","code":"# \\donttest{ # a combination of species is not formal taxonomy, so # this will result in \"Enterobacter cloacae cloacae\", # since it resembles the input best: mo_name(\"Enterobacter asburiae/cloacae\") #> [1] \"Enterobacter cloacae cloacae\"  # now add a custom entry - it will be considered by as.mo() and # all mo_*() functions add_custom_microorganisms(   data.frame(     genus = \"Enterobacter\",     species = \"asburiae/cloacae\"   ) ) #> ℹ Added Enterobacter asburiae/cloacae to the internal microorganisms data #>   set.  # E. asburiae/cloacae is now a new microorganism: mo_name(\"Enterobacter asburiae/cloacae\") #> [1] \"Enterobacter asburiae/cloacae\"  # its code: as.mo(\"Enterobacter asburiae/cloacae\") #> Class 'mo' #> [1] CUSTOM1_ENTRB_ASB/  # all internal algorithms will work as well: mo_name(\"Ent asburia cloacae\") #> [1] \"Enterobacter asburiae/cloacae\"  # and even the taxonomy was added based on the genus! mo_family(\"E. asburiae/cloacae\") #> [1] \"Enterobacteriaceae\" mo_gramstain(\"Enterobacter asburiae/cloacae\") #> [1] \"Gram-negative\"  mo_info(\"Enterobacter asburiae/cloacae\") #> $mo #> [1] \"CUSTOM1_ENTRB_ASB/\" #>  #> $kingdom #> [1] \"Bacteria\" #>  #> $phylum #> [1] \"Pseudomonadota\" #>  #> $class #> [1] \"Gammaproteobacteria\" #>  #> $order #> [1] \"Enterobacterales\" #>  #> $family #> [1] \"Enterobacteriaceae\" #>  #> $genus #> [1] \"Enterobacter\" #>  #> $species #> [1] \"asburiae/cloacae\" #>  #> $subspecies #> [1] \"\" #>  #> $status #> [1] \"accepted\" #>  #> $synonyms #> NULL #>  #> $gramstain #> [1] \"Gram-negative\" #>  #> $oxygen_tolerance #> [1] NA #>  #> $url #> [1] \"\" #>  #> $ref #> [1] \"Self-added, 2024\" #>  #> $snomed #> [1] NA #>  #> $lpsn #> [1] NA #>  #> $gbif #> [1] NA #>    # the function tries to be forgiving: add_custom_microorganisms(   data.frame(     GENUS = \"BACTEROIDES / PARABACTEROIDES SLASHLINE\",     SPECIES = \"SPECIES\"   ) ) #> ℹ Added Bacteroides/Parabacteroides to the internal microorganisms data #>   set. mo_name(\"BACTEROIDES / PARABACTEROIDES\") #> [1] \"Bacteroides/Parabacteroides\" mo_rank(\"BACTEROIDES / PARABACTEROIDES\") #> [1] \"genus\"  # taxonomy still works, even though a slashline genus was given as input: mo_family(\"Bacteroides/Parabacteroides\") #> [1] \"Bacteroidaceae\"   # for groups and complexes, set them as species or subspecies: add_custom_microorganisms(   data.frame(     genus = \"Citrobacter\",     species = c(\"freundii\", \"braakii complex\"),     subspecies = c(\"complex\", \"\")   ) ) #> ℹ Added Citrobacter braakii complex and Citrobacter freundii complex to the #>   internal microorganisms data set. mo_name(c(\"C. freundii complex\", \"C. braakii complex\")) #> [1] \"Citrobacter freundii complex\" \"Citrobacter braakii complex\"  mo_species(c(\"C. freundii complex\", \"C. braakii complex\")) #> [1] \"freundii complex\" \"braakii complex\"  mo_gramstain(c(\"C. freundii complex\", \"C. braakii complex\")) #> [1] \"Gram-negative\" \"Gram-negative\" # }"},{"path":"https://msberends.github.io/AMR/reference/age.html","id":null,"dir":"Reference","previous_headings":"","what":"Age in Years of Individuals — age","title":"Age in Years of Individuals — age","text":"Calculates age years based reference date, system date default.","code":""},{"path":"https://msberends.github.io/AMR/reference/age.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Age in Years of Individuals — age","text":"","code":"age(x, reference = Sys.Date(), exact = FALSE, na.rm = FALSE, ...)"},{"path":"https://msberends.github.io/AMR/reference/age.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Age in Years of Individuals — age","text":"x date(s), character (vectors) coerced .POSIXlt() reference reference date(s) (default today), character (vectors) coerced .POSIXlt() exact logical indicate whether age calculation exact, .e. decimals. divides number days year--date (YTD) x number days year reference (either 365 366). na.rm logical indicate whether missing values removed ... arguments passed .POSIXlt(), origin","code":""},{"path":"https://msberends.github.io/AMR/reference/age.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Age in Years of Individuals — age","text":"integer (decimals) exact = FALSE, double (decimals) otherwise","code":""},{"path":"https://msberends.github.io/AMR/reference/age.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Age in Years of Individuals — age","text":"Ages 0 returned NA warning. Ages 120 give warning. function vectorises x reference, meaning either can length 1 argument larger length.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/age.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Age in Years of Individuals — age","text":"","code":"# 10 random pre-Y2K birth dates df <- data.frame(birth_date = as.Date(\"2000-01-01\") - runif(10) * 25000)  # add ages df$age <- age(df$birth_date)  # add exact ages df$age_exact <- age(df$birth_date, exact = TRUE)  # add age at millenium switch df$age_at_y2k <- age(df$birth_date, \"2000-01-01\")  df #>    birth_date age age_exact age_at_y2k #> 1  1965-12-05  58  58.24317         34 #> 2  1980-03-01  44  44.00546         19 #> 3  1949-11-01  74  74.33607         50 #> 4  1947-02-14  77  77.04918         52 #> 5  1940-02-19  84  84.03552         59 #> 6  1988-01-10  36  36.14481         11 #> 7  1997-08-27  26  26.51639          2 #> 8  1978-01-26  46  46.10109         21 #> 9  1972-06-17  51  51.71038         27 #> 10 1986-08-10  37  37.56284         13"},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":null,"dir":"Reference","previous_headings":"","what":"Split Ages into Age Groups — age_groups","title":"Split Ages into Age Groups — age_groups","text":"Split ages age groups defined split argument. allows easier demographic (antimicrobial resistance) analysis.","code":""},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split Ages into Age Groups — age_groups","text":"","code":"age_groups(x, split_at = c(12, 25, 55, 75), na.rm = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split Ages into Age Groups — age_groups","text":"x age, e.g. calculated age() split_at values split x - default age groups 0-11, 12-24, 25-54, 55-74 75+. See Details. na.rm logical indicate whether missing values removed","code":""},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split Ages into Age Groups — age_groups","text":"Ordered factor","code":""},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Split Ages into Age Groups — age_groups","text":"split ages, input split_at argument can : numeric vector. value e.g. c(10, 20) split x 0-9, 10-19 20+. value 50 split x 0-49 50+. default split young children (0-11), youth (12-24), young adults (25-54), middle-aged adults (55-74) elderly (75+). character: \"children\" \"kids\", equivalent : c(0, 1, 2, 4, 6, 13, 18). split 0, 1, 2-3, 4-5, 6-12, 13-17 18+. \"elderly\" \"seniors\", equivalent : c(65, 75, 85). split 0-64, 65-74, 75-84, 85+. \"fives\", equivalent : 1:20 * 5. split 0-4, 5-9, ..., 95-99, 100+. \"tens\", equivalent : 1:10 * 10. split 0-9, 10-19, ..., 90-99, 100+.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/age_groups.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split Ages into Age Groups — age_groups","text":"","code":"ages <- c(3, 8, 16, 54, 31, 76, 101, 43, 21)  # split into 0-49 and 50+ age_groups(ages, 50) #> [1] 0-49 0-49 0-49 50+  0-49 50+  50+  0-49 0-49 #> Levels: 0-49 < 50+  # split into 0-19, 20-49 and 50+ age_groups(ages, c(20, 50)) #> [1] 0-19  0-19  0-19  50+   20-49 50+   50+   20-49 20-49 #> Levels: 0-19 < 20-49 < 50+  # split into groups of ten years age_groups(ages, 1:10 * 10) #> [1] 0-9   0-9   10-19 50-59 30-39 70-79 100+  40-49 20-29 #> 11 Levels: 0-9 < 10-19 < 20-29 < 30-39 < 40-49 < 50-59 < 60-69 < ... < 100+ age_groups(ages, split_at = \"tens\") #> [1] 0-9   0-9   10-19 50-59 30-39 70-79 100+  40-49 20-29 #> 11 Levels: 0-9 < 10-19 < 20-29 < 30-39 < 40-49 < 50-59 < 60-69 < ... < 100+  # split into groups of five years age_groups(ages, 1:20 * 5) #> [1] 0-4   5-9   15-19 50-54 30-34 75-79 100+  40-44 20-24 #> 21 Levels: 0-4 < 5-9 < 10-14 < 15-19 < 20-24 < 25-29 < 30-34 < ... < 100+ age_groups(ages, split_at = \"fives\") #> [1] 0-4   5-9   15-19 50-54 30-34 75-79 100+  40-44 20-24 #> 21 Levels: 0-4 < 5-9 < 10-14 < 15-19 < 20-24 < 25-29 < 30-34 < ... < 100+  # split specifically for children age_groups(ages, c(1, 2, 4, 6, 13, 18)) #> [1] 2-3   6-12  13-17 18+   18+   18+   18+   18+   18+   #> Levels: 0 < 1 < 2-3 < 4-5 < 6-12 < 13-17 < 18+ age_groups(ages, \"children\") #> [1] 2-3   6-12  13-17 18+   18+   18+   18+   18+   18+   #> Levels: 0 < 1 < 2-3 < 4-5 < 6-12 < 13-17 < 18+  # \\donttest{ # resistance of ciprofloxacin per age group if (require(\"dplyr\") && require(\"ggplot2\")) {   example_isolates %>%     filter_first_isolate() %>%     filter(mo == as.mo(\"Escherichia coli\")) %>%     group_by(age_group = age_groups(age)) %>%     select(age_group, CIP) %>%     ggplot_sir(       x = \"age_group\",       minimum = 0,       x.title = \"Age Group\",       title = \"Ciprofloxacin resistance per age group\"     ) } #> Loading required package: ggplot2  # }"},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"Generate antibiogram, communicate results plots tables. functions follow logic Klinker et al. Barbieri et al. (see Source), allow reporting e.g. R Markdown Quarto well.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"","code":"antibiogram(   x,   antibiotics = where(is.sir),   mo_transform = \"shortname\",   ab_transform = NULL,   syndromic_group = NULL,   add_total_n = TRUE,   only_all_tested = FALSE,   digits = 0,   col_mo = NULL,   language = get_AMR_locale(),   minimum = 30,   combine_SI = TRUE,   sep = \" + \",   info = interactive() )  # S3 method for antibiogram plot(x, ...)  # S3 method for antibiogram autoplot(object, ...)  # S3 method for antibiogram knit_print(   x,   italicise = TRUE,   na = getOption(\"knitr.kable.NA\", default = \"\"),   ... )"},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"Klinker KP et al. (2021). Antimicrobial stewardship antibiograms: importance moving beyond traditional antibiograms. Therapeutic Advances Infectious Disease, May 5;8:20499361211011373; doi:10.1177/20499361211011373 Barbieri E et al. (2021). Development Weighted-Incidence Syndromic Combination Antibiogram (WISCA) guide choice empiric antibiotic treatment urinary tract infection paediatric patients: Bayesian approach Antimicrobial Resistance & Infection Control May 1;10(1):74; doi:10.1186/s13756-021-00939-2 M39 Analysis Presentation Cumulative Antimicrobial Susceptibility Test Data, 5th Edition, 2022, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/microbiology/documents/m39/.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"x data.frame containing least column microorganisms columns antibiotic results (class 'sir', see .sir()) antibiotics vector antibiotic name code (evaluated .ab(), column name x, (combinations ) antibiotic selectors aminoglycosides() carbapenems(). combination antibiograms, can also set values separated \"+\", \"TZP+TOB\" \"cipro + genta\", given columns resembling antibiotics exist x. See Examples. mo_transform character transform microorganism input - must \"name\", \"shortname\", \"gramstain\", one column names microorganisms data set: \"mo\", \"fullname\", \"status\", \"kingdom\", \"phylum\", \"class\", \"order\", \"family\", \"genus\", \"species\", \"subspecies\", \"rank\", \"ref\", \"oxygen_tolerance\", \"source\", \"lpsn\", \"lpsn_parent\", \"lpsn_renamed_to\", \"gbif\", \"gbif_parent\", \"gbif_renamed_to\", \"prevalence\", \"snomed\". Can also NULL transform input. ab_transform character transform antibiotic input - must one column names antibiotics data set: \"ab\", \"cid\", \"name\", \"group\", \"atc\", \"atc_group1\", \"atc_group2\", \"abbreviations\", \"synonyms\", \"oral_ddd\", \"oral_units\", \"iv_ddd\", \"iv_units\", \"loinc\". Can also NULL transform input. syndromic_group column name x, values calculated split rows x, e.g. using ifelse() case_when(). See Examples. add_total_n logical indicate whether total available numbers per pathogen added table (default TRUE). add lowest highest number available isolate per antibiotic (e.g, E. coli 200 isolates available ciprofloxacin 150 amoxicillin, returned number \"150-200\"). only_all_tested (combination antibiograms): logical indicate isolates must tested antibiotics, see Details digits number digits use rounding col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). language language translate text, defaults system language (see get_AMR_locale()) minimum minimum allowed number available (tested) isolates. isolate count lower minimum return NA warning. default number 30 isolates advised Clinical Laboratory Standards Institute (CLSI) best practice, see Source. combine_SI logical indicate whether susceptibility determined results either S , instead S (default TRUE) sep separating character antibiotic columns combination antibiograms info logical indicate info printed - default TRUE interactive mode ... used R Markdown Quarto: arguments passed knitr::kable() (otherwise, use) object antibiogram() object italicise logical indicate whether microorganism names knitr table made italic, using italicise_taxonomy(). na character use showing NA values","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"function returns table values 0 100 susceptibility, resistance. Remember filter data let contain first isolates! needed exclude duplicates reduce selection bias. Use first_isolate() determine data set one four available algorithms. types antibiograms listed can plotted (using ggplot2::autoplot() base R plot()/barplot()). antibiogram object can also used directly R Markdown / Quarto (.e., knitr) reports. case, knitr::kable() applied automatically microorganism names even printed italics default (see argument italicise). can also use functions specific 'table reporting' packages transform output antibiogram() needs, e.g. flextable::as_flextable() gt::gt().","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"antibiogram-types","dir":"Reference","previous_headings":"","what":"Antibiogram Types","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"four antibiogram types, proposed Klinker et al. (2021, doi:10.1177/20499361211011373 ), supported antibiogram(): Traditional Antibiogram Case example: Susceptibility Pseudomonas aeruginosa piperacillin/tazobactam (TZP) Code example:   Combination Antibiogram Case example: Additional susceptibility Pseudomonas aeruginosa TZP + tobramycin versus TZP alone Code example:   Syndromic Antibiogram Case example: Susceptibility Pseudomonas aeruginosa TZP among respiratory specimens (obtained among ICU patients ) Code example:   Weighted-Incidence Syndromic Combination Antibiogram (WISCA) Case example: Susceptibility Pseudomonas aeruginosa TZP among respiratory specimens (obtained among ICU patients ) male patients age >=65 years heart failure Code example:   Note combination antibiograms, important realise susceptibility can calculated two ways, can set only_all_tested argument (default FALSE). See example two antibiotics, Drug Drug B, antibiogram() works calculate %SI:","code":"antibiogram(your_data,             antibiotics = \"TZP\") antibiogram(your_data,             antibiotics = c(\"TZP\", \"TZP+TOB\", \"TZP+GEN\")) antibiogram(your_data,             antibiotics = penicillins(),             syndromic_group = \"ward\") library(dplyr) your_data %>%   filter(ward == \"ICU\" & specimen_type == \"Respiratory\") %>%   antibiogram(antibiotics = c(\"TZP\", \"TZP+TOB\", \"TZP+GEN\"),               syndromic_group = ifelse(.$age >= 65 &                                          .$gender == \"Male\" &                                          .$condition == \"Heart Disease\",                                        \"Study Group\", \"Control Group\")) --------------------------------------------------------------------                     only_all_tested = FALSE  only_all_tested = TRUE                     -----------------------  -----------------------  Drug A    Drug B   include as  include as   include as  include as                     numerator   denominator  numerator   denominator --------  --------  ----------  -----------  ----------  -----------  S or I    S or I       X            X            X            X    R       S or I       X            X            X            X   <NA>     S or I       X            X            -            -  S or I      R          X            X            X            X    R         R          -            X            -            X   <NA>       R          -            -            -            -  S or I     <NA>        X            X            -            -    R        <NA>        -            -            -            -   <NA>      <NA>        -            -            -            - --------------------------------------------------------------------"},{"path":"https://msberends.github.io/AMR/reference/antibiogram.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate Antibiogram: Traditional, Combined, Syndromic, or Weighted-Incidence Syndromic Combination (WISCA) — antibiogram","text":"","code":"# example_isolates is a data set available in the AMR package. # run ?example_isolates for more info. example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  # \\donttest{ # Traditional antibiogram ----------------------------------------------  antibiogram(example_isolates,   antibiotics = c(aminoglycosides(), carbapenems()) ) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 10 × 7 #>    `Pathogen (N min-max)`   AMK   GEN   IPM   KAN   MEM   TOB #>  * <chr>                  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 CoNS (43-309)              0    86    52     0    52    22 #>  2 E. coli (0-462)          100    98   100    NA   100    97 #>  3 E. faecalis (0-39)         0     0   100     0    NA     0 #>  4 K. pneumoniae (0-58)      NA    90   100    NA   100    90 #>  5 P. aeruginosa (17-30)     NA   100    NA     0    NA   100 #>  6 P. mirabilis (0-34)       NA    94    94    NA    NA    94 #>  7 S. aureus (2-233)         NA    99    NA    NA    NA    98 #>  8 S. epidermidis (8-163)     0    79    NA     0    NA    51 #>  9 S. hominis (3-80)         NA    92    NA    NA    NA    85 #> 10 S. pneumoniae (11-117)     0     0    NA     0    NA     0  antibiogram(example_isolates,   antibiotics = aminoglycosides(),   ab_transform = \"atc\",   mo_transform = \"gramstain\" ) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 2 × 5 #>   `Pathogen (N min-max)`   J01GB01 J01GB03 J01GB04 J01GB06 #> * <chr>                      <dbl>   <dbl>   <dbl>   <dbl> #> 1 Gram-negative (35-686)        96      96       0      98 #> 2 Gram-positive (436-1170)      34      63       0       0  antibiogram(example_isolates,   antibiotics = carbapenems(),   ab_transform = \"name\",   mo_transform = \"name\" ) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 5 × 3 #>   `Pathogen (N min-max)`                           Imipenem Meropenem #> * <chr>                                               <dbl>     <dbl> #> 1 Coagulase-negative Staphylococcus (CoNS) (48-48)       52        52 #> 2 Enterococcus faecalis (0-38)                          100        NA #> 3 Escherichia coli (418-422)                            100       100 #> 4 Klebsiella pneumoniae (51-53)                         100       100 #> 5 Proteus mirabilis (27-32)                              94        NA   # Combined antibiogram -------------------------------------------------  # combined antibiotics yield higher empiric coverage antibiogram(example_isolates,   antibiotics = c(\"TZP\", \"TZP+TOB\", \"TZP+GEN\"),   mo_transform = \"gramstain\" ) #> # A tibble: 2 × 4 #>   `Pathogen (N min-max)`     TZP `TZP + GEN` `TZP + TOB` #> * <chr>                    <dbl>       <dbl>       <dbl> #> 1 Gram-negative (641-693)     88          99          98 #> 2 Gram-positive (345-1044)    86          98          95  # names of antibiotics do not need to resemble columns exactly: antibiogram(example_isolates,   antibiotics = c(\"Cipro\", \"cipro + genta\"),   mo_transform = \"gramstain\",   ab_transform = \"name\",   sep = \" & \" ) #> # A tibble: 2 × 3 #>   `Pathogen (N min-max)`  Ciprofloxacin `Ciprofloxacin & Gentamicin` #> * <chr>                           <dbl>                        <dbl> #> 1 Gram-negative (684-694)            91                           99 #> 2 Gram-positive (724-847)            77                           93   # Syndromic antibiogram ------------------------------------------------  # the data set could contain a filter for e.g. respiratory specimens antibiogram(example_isolates,   antibiotics = c(aminoglycosides(), carbapenems()),   syndromic_group = \"ward\" ) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 14 × 8 #>    `Syndromic Group` `Pathogen (N min-max)`   AMK   GEN   IPM   KAN   MEM   TOB #>  * <chr>             <chr>                  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 Clinical          CoNS (23-205)             NA    89    57    NA    57    26 #>  2 ICU               CoNS (10-73)              NA    79    NA    NA    NA    NA #>  3 Outpatient        CoNS (3-31)               NA    84    NA    NA    NA    NA #>  4 Clinical          E. coli (0-299)          100    98   100    NA   100    98 #>  5 ICU               E. coli (0-137)          100    99   100    NA   100    96 #>  6 Clinical          K. pneumoniae (0-51)      NA    92   100    NA   100    92 #>  7 Clinical          P. mirabilis (0-30)       NA   100    NA    NA    NA   100 #>  8 Clinical          S. aureus (2-150)         NA    99    NA    NA    NA    97 #>  9 ICU               S. aureus (0-66)          NA   100    NA    NA    NA    NA #> 10 Clinical          S. epidermidis (4-79)     NA    82    NA    NA    NA    55 #> 11 ICU               S. epidermidis (4-75)     NA    72    NA    NA    NA    41 #> 12 Clinical          S. hominis (1-45)         NA    96    NA    NA    NA    94 #> 13 Clinical          S. pneumoniae (5-78)       0     0    NA     0    NA     0 #> 14 ICU               S. pneumoniae (5-30)       0     0    NA     0    NA     0  # now define a data set with only E. coli ex1 <- example_isolates[which(mo_genus() == \"Escherichia\"), ] #> ℹ Using column 'mo' as input for mo_genus()  # with a custom language, though this will be determined automatically # (i.e., this table will be in Spanish on Spanish systems) antibiogram(ex1,   antibiotics = aminoglycosides(),   ab_transform = \"name\",   syndromic_group = ifelse(ex1$ward == \"ICU\",     \"UCI\", \"No UCI\"   ),   language = \"es\" ) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 2 × 5 #>   `Grupo sindrómico` `Patógeno (N min-max)` Amikacina Gentamicina Tobramicina #> * <chr>              <chr>                      <dbl>       <dbl>       <dbl> #> 1 No UCI             E. coli (0-325)              100          98          98 #> 2 UCI                E. coli (0-137)              100          99          96   # Weighted-incidence syndromic combination antibiogram (WISCA) ---------  # the data set could contain a filter for e.g. respiratory specimens/ICU antibiogram(example_isolates,   antibiotics = c(\"AMC\", \"AMC+CIP\", \"TZP\", \"TZP+TOB\"),   mo_transform = \"gramstain\",   minimum = 10, # this should be >=30, but now just as example   syndromic_group = ifelse(example_isolates$age >= 65 &     example_isolates$gender == \"M\",   \"WISCA Group 1\", \"WISCA Group 2\"   ) ) #> # A tibble: 4 × 6 #>   `Syndromic Group` `Pathogen (N min-max)`    AMC `AMC + CIP`   TZP `TZP + TOB` #> * <chr>             <chr>                   <dbl>       <dbl> <dbl>       <dbl> #> 1 WISCA Group 1     Gram-negative (261-285)    76          95    89          99 #> 2 WISCA Group 2     Gram-negative (380-442)    76          98    88          98 #> 3 WISCA Group 1     Gram-positive (123-406)    76          89    81          95 #> 4 WISCA Group 2     Gram-positive (222-732)    76          89    88          95   # Print the output for R Markdown / Quarto -----------------------------  ureido <- antibiogram(example_isolates,   antibiotics = ureidopenicillins(),   ab_transform = \"name\" ) #> ℹ For ureidopenicillins() using column 'TZP' (piperacillin/tazobactam)  # in an Rmd file, you would just need to return `ureido` in a chunk, # but to be explicit here: if (requireNamespace(\"knitr\")) {   cat(knitr::knit_print(ureido)) } #>  #>  #> |Pathogen (N)          | Piperacillin/tazobactam| #> |:---------------------|-----------------------:| #> |CoNS (33)             |                      30| #> |*E. coli* (416)       |                      94| #> |*K. pneumoniae* (53)  |                      89| #> |*S. pneumoniae* (112) |                     100|   # Generate plots with ggplot2 or base R --------------------------------  ab1 <- antibiogram(example_isolates,   antibiotics = c(\"AMC\", \"CIP\", \"TZP\", \"TZP+TOB\"),   mo_transform = \"gramstain\" ) ab2 <- antibiogram(example_isolates,   antibiotics = c(\"AMC\", \"CIP\", \"TZP\", \"TZP+TOB\"),   mo_transform = \"gramstain\",   syndromic_group = \"ward\" )  if (requireNamespace(\"ggplot2\")) {   ggplot2::autoplot(ab1) }  if (requireNamespace(\"ggplot2\")) {   ggplot2::autoplot(ab2) }   plot(ab1)  plot(ab2)  # }"},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":null,"dir":"Reference","previous_headings":"","what":"Antibiotic Selectors — antibiotic_class_selectors","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"functions allow filtering rows selecting columns based antibiotic test results specific antibiotic class group (according antibiotics data set), without need define columns antibiotic abbreviations. short, column name resembles antimicrobial drug, picked functions matches pharmaceutical class: \"cefazolin\", \"kefzol\", \"CZO\" \"J01DB04\" picked cephalosporins().","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"","code":"ab_class(ab_class, only_sir_columns = FALSE, only_treatable = TRUE, ...)  ab_selector(filter, only_sir_columns = FALSE, only_treatable = TRUE, ...)  aminoglycosides(only_sir_columns = FALSE, only_treatable = TRUE, ...)  aminopenicillins(only_sir_columns = FALSE, ...)  antifungals(only_sir_columns = FALSE, ...)  antimycobacterials(only_sir_columns = FALSE, ...)  betalactams(only_sir_columns = FALSE, only_treatable = TRUE, ...)  carbapenems(only_sir_columns = FALSE, only_treatable = TRUE, ...)  cephalosporins(only_sir_columns = FALSE, ...)  cephalosporins_1st(only_sir_columns = FALSE, ...)  cephalosporins_2nd(only_sir_columns = FALSE, ...)  cephalosporins_3rd(only_sir_columns = FALSE, ...)  cephalosporins_4th(only_sir_columns = FALSE, ...)  cephalosporins_5th(only_sir_columns = FALSE, ...)  fluoroquinolones(only_sir_columns = FALSE, ...)  glycopeptides(only_sir_columns = FALSE, ...)  lincosamides(only_sir_columns = FALSE, ...)  lipoglycopeptides(only_sir_columns = FALSE, ...)  macrolides(only_sir_columns = FALSE, ...)  oxazolidinones(only_sir_columns = FALSE, ...)  penicillins(only_sir_columns = FALSE, ...)  polymyxins(only_sir_columns = FALSE, only_treatable = TRUE, ...)  streptogramins(only_sir_columns = FALSE, ...)  quinolones(only_sir_columns = FALSE, ...)  tetracyclines(only_sir_columns = FALSE, ...)  trimethoprims(only_sir_columns = FALSE, ...)  ureidopenicillins(only_sir_columns = FALSE, ...)  administrable_per_os(only_sir_columns = FALSE, ...)  administrable_iv(only_sir_columns = FALSE, ...)  not_intrinsic_resistant(   only_sir_columns = FALSE,   col_mo = NULL,   version_expertrules = 3.3,   ... )"},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"ab_class antimicrobial class part , \"carba\" \"carbapenems\". columns group, atc_group1 atc_group2 antibiotics data set searched (case-insensitive) value. only_sir_columns logical indicate whether columns class sir must selected (default FALSE), see .sir() only_treatable logical indicate whether antimicrobial drugs excluded laboratory tests (default TRUE), gentamicin-high (GEH) imipenem/EDTA (IPE) ... ignored, place allow future extensions filter expression evaluated antibiotics data set, name %like% \"trim\" col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). version_expertrules version number use EUCAST Expert Rules Intrinsic Resistance guideline. Can \"3.3\", \"3.2\", \"3.1\".","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"(internally) character vector column names, additional class \"ab_selector\"","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"functions can used data set calls selecting columns filtering rows. work base R, Tidyverse, data.table. heavily inspired Tidyverse selection helpers everything(), limited dplyr verbs. Nonetheless, convenient use dplyr functions select(), filter() summarise(), see Examples. columns data functions called searched known antibiotic names, abbreviations, brand names, codes (ATC, EARS-Net, , etc.) according antibiotics data set. means selector aminoglycosides() pick column names like 'gen', 'genta', 'J01GB03', 'tobra', 'Tobracin', etc. ab_class() function can used filter/select manually defined antibiotic class. searches results antibiotics data set within columns group, atc_group1 atc_group2. ab_selector() function can used internally filter antibiotics data set results, see Examples. allows filtering (part ) certain name, /group name even minimum DDDs oral treatment. function yields highest flexibility, also least user-friendly, since requires hard-coded filter set. administrable_per_os() administrable_iv() functions also rely antibiotics data set - antibiotic columns matched DDD (defined daily dose) resp. oral IV treatment available antibiotics data set. not_intrinsic_resistant() function can used select antibiotic columns pose intrinsic resistance microorganisms data set. example, data set contains microorganism codes names E. coli K. pneumoniae contains column \"vancomycin\", column removed (rather, unselected) using function. currently applies 'EUCAST Expert Rules' 'EUCAST Intrinsic Resistance Unusual Phenotypes' v3.3 (2021) determine intrinsic resistance, using eucast_rules() function internally. determination, function quite slow terms performance.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"full-list-of-supported-antibiotic-classes","dir":"Reference","previous_headings":"","what":"Full list of supported (antibiotic) classes","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"aminoglycosides() can select:  amikacin (AMK), amikacin/fosfomycin (AKF), amphotericin B-high (AMH), apramycin (APR), arbekacin (ARB), astromicin (AST), bekanamycin (BEK), dibekacin (DKB), framycetin (FRM), gentamicin (GEN), gentamicin-high (GEH), habekacin (HAB), hygromycin (HYG), isepamicin (ISE), kanamycin (KAN), kanamycin-high (KAH), kanamycin/cephalexin (KAC), micronomicin (MCR), neomycin (NEO), netilmicin (NET), pentisomicin (PIM), plazomicin (PLZ), propikacin (PKA), ribostamycin (RST), sisomicin (SIS), streptoduocin (STR), streptomycin (STR1), streptomycin-high (STH), tobramycin (TOB), tobramycin-high (TOH) aminopenicillins() can select:  amoxicillin (AMX) ampicillin (AMP) antifungals() can select:  amphotericin B (AMB), anidulafungin (ANI), butoconazole (), caspofungin (CAS), ciclopirox (CIX), clotrimazole (CTR), econazole (ECO), fluconazole (FLU), flucytosine (FCT), fosfluconazole (FFL), griseofulvin (GRI), hachimycin (HCH), ibrexafungerp (IBX), isavuconazole (ISV), isoconazole (ISO), itraconazole (ITR), ketoconazole (KET), manogepix (MGX), micafungin (MIF), miconazole (MCZ), nystatin (NYS), oteseconazole (OTE), pimaricin (PMR), posaconazole (POS), rezafungin (RZF), ribociclib (RBC), sulconazole (SUC), terbinafine (TRB), terconazole (TRC), voriconazole (VOR) antimycobacterials() can select:  4-aminosalicylic acid (AMA), calcium aminosalicylate (CLA), capreomycin (CAP), clofazimine (CLF), delamanid (DLM), enviomycin (ENV), ethambutol (ETH), ethambutol/isoniazid (ETI), ethionamide (ETI1), isoniazid (INH), isoniazid/sulfamethoxazole/trimethoprim/pyridoxine (IST), morinamide (MRN), p-aminosalicylic acid (PAS), pretomanid (PMD), protionamide (PTH), pyrazinamide (PZA), rifabutin (RIB), rifampicin (RIF), rifampicin/ethambutol/isoniazid (REI), rifampicin/isoniazid (RFI), rifampicin/pyrazinamide/ethambutol/isoniazid (RPEI), rifampicin/pyrazinamide/isoniazid (RPI), rifamycin (RFM), rifapentine (RFP), simvastatin/fenofibrate (SMF), sodium aminosalicylate (SDA), streptomycin/isoniazid (STI), terizidone (TRZ), thioacetazone (TAT), thioacetazone/isoniazid (THI1), tiocarlide (TCR), viomycin (VIO) betalactams() can select:  amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), aztreonam/nacubactam (ANC), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), biapenem (BIA), carbenicillin (CRB), carindacillin (CRN), cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefamandole (MAN), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/nacubactam (FNC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (CCL), cefetrizole (CZL), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), cefuroxime (CXM), cefuroxime axetil (CXA), cephradine (CED), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), doripenem (DOR), epicillin (EPC), ertapenem (ETP), flucloxacillin (FLC), hetacillin (HET), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), latamoxef (LTM), lenampicillin (LEN), loracarbef (LOR), mecillinam (MEC), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), metampicillin (MTM), meticillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), panipenem (PAN), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), pheneticillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), tebipenem (TBP), temocillin (TEM), ticarcillin (TIC), ticarcillin/clavulanic acid (TCC) carbapenems() can select:  biapenem (BIA), doripenem (DOR), ertapenem (ETP), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), panipenem (PAN), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), tebipenem (TBP) cephalosporins() can select:  cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefamandole (MAN), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (CCL), cefetrizole (CZL), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), cefuroxime (CXM), cefuroxime axetil (CXA), cephradine (CED), latamoxef (LTM), loracarbef (LOR) cephalosporins_1st() can select:  cefacetrile (CAC), cefadroxil (CFR), cefalexin (LEX), cefaloridine (RID), cefalotin (CEP), cefapirin (HAP), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefroxadine (CRD), ceftezole (CTL), cephradine (CED) cephalosporins_2nd() can select:  cefaclor (CEC), cefamandole (MAN), cefmetazole (CMZ), cefonicid (CID), ceforanide (CND), cefotetan (CTT), cefotiam (CTF), cefoxitin (FOX), cefoxitin screening (FOX1), cefprozil (CPR), cefuroxime (CXM), cefuroxime axetil (CXA), loracarbef (LOR) cephalosporins_3rd() can select:  cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefetamet (CAT), cefetamet pivoxil (CPI), cefixime (CFM), cefmenoxime (CMX), cefodizime (DIZ), cefoperazone (CFP), cefoperazone/sulbactam (CSL), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotiam hexetil (CHE), cefovecin (FOV), cefpimizole (CFZ), cefpiramide (CPM), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefsulodin (CFS), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftriaxone (CRO), ceftriaxone/beta-lactamase inhibitor (CEB), latamoxef (LTM) cephalosporins_4th() can select:  cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetecol (CCL), cefoselis (CSE), cefozopran (ZOP), cefpirome (CPO), cefquinome (CEQ) cephalosporins_5th() can select:  ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/tazobactam (CZT) fluoroquinolones() can select:  besifloxacin (BES), ciprofloxacin (CIP), clinafloxacin (CLX), danofloxacin (DAN), delafloxacin (DFX), difloxacin (DIF), enoxacin (ENX), enrofloxacin (ENR), finafloxacin (FIN), fleroxacin (FLE), garenoxacin (GRN), gatifloxacin (GAT), gemifloxacin (GEM), grepafloxacin (GRX), lascufloxacin (LSC), levofloxacin (LVX), levonadifloxacin (LND), lomefloxacin (LOM), marbofloxacin (MAR), metioxate (MXT), miloxacin (MIL), moxifloxacin (MFX), nadifloxacin (NAD), nifuroquine (NIF), norfloxacin (), ofloxacin (OFX), orbifloxacin (ORB), pazufloxacin (PAZ), pefloxacin (PEF), pradofloxacin (PRA), premafloxacin (PRX), prulifloxacin (PRU), rufloxacin (RFL), sarafloxacin (SAR), sitafloxacin (SIT), sparfloxacin (SPX), temafloxacin (TMX), tilbroquinol (TBQ), tioxacin (TXC), tosufloxacin (TFX), trovafloxacin (TVA) glycopeptides() can select:  avoparcin (AVO), dalbavancin (DAL), norvancomycin (NVA), oritavancin (ORI), ramoplanin (RAM), teicoplanin (TEC), teicoplanin-macromethod (TCM), telavancin (TLV), vancomycin (VAN), vancomycin-macromethod (VAM) lincosamides() can select:  acetylmidecamycin (ACM), acetylspiramycin (ASP), clindamycin (CLI), gamithromycin (GAM), kitasamycin (KIT), lincomycin (LIN), meleumycin (MEL), nafithromycin (ZWK), pirlimycin (PRL), primycin (PRM), solithromycin (SOL), tildipirosin (TIP), tilmicosin (TIL), tulathromycin (TUL), tylosin (TYL), tylvalosin (TYL1) lipoglycopeptides() can select:  dalbavancin (DAL), oritavancin (ORI), telavancin (TLV) macrolides() can select:  acetylmidecamycin (ACM), acetylspiramycin (ASP), azithromycin (AZM), clarithromycin (CLR), dirithromycin (DIR), erythromycin (ERY), flurithromycin (FLR1), gamithromycin (GAM), josamycin (JOS), kitasamycin (KIT), meleumycin (MEL), midecamycin (MID), miocamycin (MCM), nafithromycin (ZWK), oleandomycin (OLE), pirlimycin (PRL), primycin (PRM), rokitamycin (ROK), roxithromycin (RXT), solithromycin (SOL), spiramycin (SPI), telithromycin (TLT), tildipirosin (TIP), tilmicosin (TIL), troleandomycin (TRL), tulathromycin (TUL), tylosin (TYL), tylvalosin (TYL1) oxazolidinones() can select:  cadazolid (CDZ), cycloserine (CYC), linezolid (LNZ), tedizolid (TZD), thiacetazone (THA) penicillins() can select:  amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), aztreonam/nacubactam (ANC), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), carbenicillin (CRB), carindacillin (CRN), cefepime/nacubactam (FNC), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), epicillin (EPC), flucloxacillin (FLC), hetacillin (HET), lenampicillin (LEN), mecillinam (MEC), metampicillin (MTM), meticillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), pheneticillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), temocillin (TEM), ticarcillin (TIC), ticarcillin/clavulanic acid (TCC) polymyxins() can select:  colistin (COL), polymyxin B (PLB), polymyxin B/polysorbate 80 (POP) quinolones() can select:  besifloxacin (BES), cinoxacin (CIN), ciprofloxacin (CIP), clinafloxacin (CLX), danofloxacin (DAN), delafloxacin (DFX), difloxacin (DIF), enoxacin (ENX), enrofloxacin (ENR), finafloxacin (FIN), fleroxacin (FLE), flumequine (FLM), garenoxacin (GRN), gatifloxacin (GAT), gemifloxacin (GEM), grepafloxacin (GRX), lascufloxacin (LSC), levofloxacin (LVX), levonadifloxacin (LND), lomefloxacin (LOM), marbofloxacin (MAR), metioxate (MXT), miloxacin (MIL), moxifloxacin (MFX), nadifloxacin (NAD), nalidixic acid (NAL), nemonoxacin (NEM), nifuroquine (NIF), nitroxoline (NTR), norfloxacin (), ofloxacin (OFX), orbifloxacin (ORB), oxolinic acid (OXO), pazufloxacin (PAZ), pefloxacin (PEF), pipemidic acid (PPA), piromidic acid (PIR), pradofloxacin (PRA), premafloxacin (PRX), prulifloxacin (PRU), rosoxacin (ROS), rufloxacin (RFL), sarafloxacin (SAR), sitafloxacin (SIT), sparfloxacin (SPX), temafloxacin (TMX), tilbroquinol (TBQ), tioxacin (TXC), tosufloxacin (TFX), trovafloxacin (TVA) streptogramins() can select:  pristinamycin (PRI) quinupristin/dalfopristin (QDA) tetracyclines() can select:  cetocycline (CTO), chlortetracycline (CTE), clomocycline (CLM1), demeclocycline (DEM), doxycycline (DOX), eravacycline (ERV), lymecycline (LYM), metacycline (MTC), minocycline (MNO), omadacycline (OMC), oxytetracycline (OXY), penimepicycline (PNM1), rolitetracycline (RLT), sarecycline (SRC), tetracycline (TCY), tigecycline (TGC) trimethoprims() can select:  brodimoprim (BDP), sulfadiazine (SDI), sulfadiazine/tetroxoprim (SLT), sulfadiazine/trimethoprim (SLT1), sulfadimethoxine (SUD), sulfadimidine (SDM), sulfadimidine/trimethoprim (SLT2), sulfafurazole (SLF), sulfaisodimidine (SLF1), sulfalene (SLF2), sulfamazone (SZO), sulfamerazine (SLF3), sulfamerazine/trimethoprim (SLT3), sulfamethizole (SLF4), sulfamethoxazole (SMX), sulfamethoxypyridazine (SLF5), sulfametomidine (SLF6), sulfametoxydiazine (SLF7), sulfametrole/trimethoprim (SLT4), sulfamoxole (SLF8), sulfamoxole/trimethoprim (SLT5), sulfanilamide (SLF9), sulfaperin (SLF10), sulfaphenazole (SLF11), sulfapyridine (SLF12), sulfathiazole (SUT), sulfathiourea (SLF13), trimethoprim (TMP), trimethoprim/sulfamethoxazole (SXT) ureidopenicillins() can select:  azlocillin (AZL), mezlocillin (MEZ), piperacillin (PIP), piperacillin/tazobactam (TZP)","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotic_class_selectors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Antibiotic Selectors — antibiotic_class_selectors","text":"","code":"# `example_isolates` is a data set available in the AMR package. # See ?example_isolates. example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …   # Examples sections below are split into 'base R', 'dplyr', and 'data.table':   # base R ------------------------------------------------------------------  # select columns 'IPM' (imipenem) and 'MEM' (meropenem) example_isolates[, carbapenems()] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 2,000 × 2 #>    IPM   MEM   #>    <sir> <sir> #>  1 NA    NA    #>  2 NA    NA    #>  3 NA    NA    #>  4 NA    NA    #>  5 NA    NA    #>  6 NA    NA    #>  7 NA    NA    #>  8 NA    NA    #>  9 NA    NA    #> 10 NA    NA    #> # ℹ 1,990 more rows  # select columns 'mo', 'AMK', 'GEN', 'KAN' and 'TOB' example_isolates[, c(\"mo\", aminoglycosides())] #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 2,000 × 5 #>    mo           GEN   TOB   AMK   KAN   #>    <mo>         <sir> <sir> <sir> <sir> #>  1 B_ESCHR_COLI NA    NA    NA    NA    #>  2 B_ESCHR_COLI NA    NA    NA    NA    #>  3 B_STPHY_EPDR NA    NA    NA    NA    #>  4 B_STPHY_EPDR NA    NA    NA    NA    #>  5 B_STPHY_EPDR NA    NA    NA    NA    #>  6 B_STPHY_EPDR NA    NA    NA    NA    #>  7 B_STPHY_AURS NA    S     NA    NA    #>  8 B_STPHY_AURS NA    S     NA    NA    #>  9 B_STPHY_EPDR NA    NA    NA    NA    #> 10 B_STPHY_EPDR NA    NA    NA    NA    #> # ℹ 1,990 more rows  # select only antibiotic columns with DDDs for oral treatment example_isolates[, administrable_per_os()] #> ℹ For administrable_per_os() using columns 'OXA' (oxacillin), 'FLC' #>   (flucloxacillin), 'AMX' (amoxicillin), 'AMC' (amoxicillin/clavulanic acid), #>   'AMP' (ampicillin), 'CXM' (cefuroxime), 'KAN' (kanamycin), 'TMP' #>   (trimethoprim), 'NIT' (nitrofurantoin), 'FOS' (fosfomycin), 'LNZ' #>   (linezolid), 'CIP' (ciprofloxacin), 'MFX' (moxifloxacin), 'VAN' #>   (vancomycin), 'TCY' (tetracycline), 'DOX' (doxycycline), 'ERY' #>   (erythromycin), 'CLI' (clindamycin), 'AZM' (azithromycin), 'MTR' #>   (metronidazole), 'CHL' (chloramphenicol), 'COL' (colistin), and 'RIF' #>   (rifampicin) #> # A tibble: 2,000 × 23 #>    OXA   FLC   AMX   AMC   AMP   CXM   KAN   TMP   NIT   FOS   LNZ   CIP   MFX   #>    <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>  1 NA    NA    NA    I     NA    I     NA    R     NA    NA    R     NA    NA    #>  2 NA    NA    NA    I     NA    I     NA    R     NA    NA    R     NA    NA    #>  3 NA    R     NA    NA    NA    R     NA    S     NA    NA    NA    NA    NA    #>  4 NA    R     NA    NA    NA    R     NA    S     NA    NA    NA    NA    NA    #>  5 NA    R     NA    NA    NA    R     NA    R     NA    NA    NA    NA    NA    #>  6 NA    R     NA    NA    NA    R     NA    R     NA    NA    NA    NA    NA    #>  7 NA    S     R     S     R     S     NA    R     NA    NA    NA    NA    NA    #>  8 NA    S     R     S     R     S     NA    R     NA    NA    NA    NA    NA    #>  9 NA    R     NA    NA    NA    R     NA    S     NA    NA    NA    S     NA    #> 10 NA    S     NA    NA    NA    S     NA    S     NA    NA    NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 10 more variables: VAN <sir>, TCY <sir>, DOX <sir>, ERY <sir>, CLI <sir>, #> #   AZM <sir>, MTR <sir>, CHL <sir>, COL <sir>, RIF <sir>  # filter using any() or all() example_isolates[any(carbapenems() == \"R\"), ] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 55 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2004-06-09 529296     69 M      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  2 2004-06-09 529296     69 M      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  3 2004-11-03 D65308     80 F      ICU      B_STNTR_MLTP R     NA    NA    R     #>  4 2005-04-21 452212     82 F      ICU      B_ENTRC      NA    NA    NA    NA    #>  5 2005-04-22 452212     82 F      ICU      B_ENTRC      NA    NA    NA    NA    #>  6 2005-04-22 452212     82 F      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  7 2007-02-21 8BBC46     61 F      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  8 2007-12-15 401043     72 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  9 2008-01-22 1710B8     82 M      Clinical B_PROTS_MRBL R     NA    NA    NA    #> 10 2008-01-22 1710B8     82 M      Clinical B_PROTS_MRBL R     NA    NA    NA    #> # ℹ 45 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … subset(example_isolates, any(carbapenems() == \"R\")) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 55 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2004-06-09 529296     69 M      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  2 2004-06-09 529296     69 M      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  3 2004-11-03 D65308     80 F      ICU      B_STNTR_MLTP R     NA    NA    R     #>  4 2005-04-21 452212     82 F      ICU      B_ENTRC      NA    NA    NA    NA    #>  5 2005-04-22 452212     82 F      ICU      B_ENTRC      NA    NA    NA    NA    #>  6 2005-04-22 452212     82 F      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  7 2007-02-21 8BBC46     61 F      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  8 2007-12-15 401043     72 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  9 2008-01-22 1710B8     82 M      Clinical B_PROTS_MRBL R     NA    NA    NA    #> 10 2008-01-22 1710B8     82 M      Clinical B_PROTS_MRBL R     NA    NA    NA    #> # ℹ 45 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  # filter on any or all results in the carbapenem columns (i.e., IPM, MEM): example_isolates[any(carbapenems()), ] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ Filtering any of columns 'IPM' and 'MEM' to contain value \"S\", \"I\" or \"R\" #> # A tibble: 962 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  4 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  5 2002-02-05 067927     45 F      ICU      B_SERRT_MRCS R     NA    NA    R     #>  6 2002-02-05 067927     45 F      ICU      B_SERRT_MRCS R     NA    NA    R     #>  7 2002-02-05 067927     45 F      ICU      B_SERRT_MRCS R     NA    NA    R     #>  8 2002-02-27 066895     85 F      Clinical B_KLBSL_PNMN R     NA    NA    R     #>  9 2002-02-27 066895     85 F      Clinical B_KLBSL_PNMN R     NA    NA    R     #> 10 2002-03-08 4FC193     69 M      Clinical B_ESCHR_COLI R     NA    NA    R     #> # ℹ 952 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … example_isolates[all(carbapenems()), ] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ Filtering all of columns 'IPM' and 'MEM' to contain value \"S\", \"I\" or \"R\" #> # A tibble: 756 × 46 #>    date       patient   age gender ward    mo            PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>   <mo>          <sir> <sir> <sir> <sir> #>  1 2002-04-14 F30196     73 M      Outpat… B_STRPT_GRPB  S     NA    S     S     #>  2 2003-04-08 114570     74 M      ICU     B_STRPT_PYGN  S     NA    S     S     #>  3 2003-04-08 114570     74 M      ICU     B_STRPT_GRPA  S     NA    S     S     #>  4 2003-04-08 114570     74 M      ICU     B_STRPT_GRPA  S     NA    S     S     #>  5 2003-08-14 F71508      0 F      Clinic… B_STRPT_GRPB  S     NA    S     S     #>  6 2003-10-16 650870     63 F      ICU     B_ESCHR_COLI  R     NA    NA    R     #>  7 2003-10-20 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #>  8 2003-10-20 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #>  9 2003-11-04 2FC253     87 F      ICU     B_ESCHR_COLI  R     NA    NA    NA    #> 10 2003-11-04 2FC253     87 F      ICU     B_ESCHR_COLI  R     NA    NA    NA    #> # ℹ 746 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  # filter with multiple antibiotic selectors using c() example_isolates[all(c(carbapenems(), aminoglycosides()) == \"R\"), ] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 26 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2004-11-03 D65308     80 F      ICU      B_STNTR_MLTP R     NA    NA    R     #>  2 2005-04-22 452212     82 F      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  3 2007-02-21 8BBC46     61 F      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  4 2007-12-15 401043     72 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  5 2008-12-06 501361     43 F      Clinical B_STNTR_MLTP R     NA    NA    R     #>  6 2011-05-09 207325     82 F      ICU      B_ENTRC_FACM NA    NA    NA    NA    #>  7 2012-03-12 582258     80 M      ICU      B_STPHY_CONS R     R     R     R     #>  8 2012-05-19 C25552     89 F      Outpati… B_STPHY_CONS R     R     R     R     #>  9 2012-07-17 F05015     83 M      ICU      B_STPHY_CONS R     R     R     R     #> 10 2012-07-20 404299     66 F      Clinical B_STPHY_CONS R     R     R     R     #> # ℹ 16 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  # filter + select in one go: get penicillins in carbapenem-resistant strains example_isolates[any(carbapenems() == \"R\"), penicillins()] #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ For penicillins() using columns 'PEN' (benzylpenicillin), 'OXA' #>   (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC' #>   (amoxicillin/clavulanic acid), 'AMP' (ampicillin), and 'TZP' #>   (piperacillin/tazobactam) #> # A tibble: 55 × 7 #>    PEN   OXA   FLC   AMX   AMC   AMP   TZP   #>    <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>  1 NA    NA    NA    NA    NA    NA    NA    #>  2 NA    NA    NA    NA    NA    NA    NA    #>  3 R     NA    NA    R     R     R     R     #>  4 NA    NA    NA    NA    NA    NA    R     #>  5 NA    NA    NA    NA    NA    NA    R     #>  6 NA    NA    NA    NA    NA    NA    R     #>  7 NA    NA    NA    NA    NA    NA    R     #>  8 NA    NA    NA    NA    NA    NA    R     #>  9 R     NA    NA    NA    S     NA    S     #> 10 R     NA    NA    NA    S     NA    S     #> # ℹ 45 more rows  # You can combine selectors with '&' to be more specific. For example, # penicillins() would select benzylpenicillin ('peni G') and # administrable_per_os() would select erythromycin. Yet, when combined these # drugs are both omitted since benzylpenicillin is not administrable per os # and erythromycin is not a penicillin: example_isolates[, penicillins() & administrable_per_os()] #> ℹ For penicillins() using columns 'PEN' (benzylpenicillin), 'OXA' #>   (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC' #>   (amoxicillin/clavulanic acid), 'AMP' (ampicillin), and 'TZP' #>   (piperacillin/tazobactam) #> ℹ For administrable_per_os() using columns 'OXA' (oxacillin), 'FLC' #>   (flucloxacillin), 'AMX' (amoxicillin), 'AMC' (amoxicillin/clavulanic acid), #>   'AMP' (ampicillin), 'CXM' (cefuroxime), 'KAN' (kanamycin), 'TMP' #>   (trimethoprim), 'NIT' (nitrofurantoin), 'FOS' (fosfomycin), 'LNZ' #>   (linezolid), 'CIP' (ciprofloxacin), 'MFX' (moxifloxacin), 'VAN' #>   (vancomycin), 'TCY' (tetracycline), 'DOX' (doxycycline), 'ERY' #>   (erythromycin), 'CLI' (clindamycin), 'AZM' (azithromycin), 'MTR' #>   (metronidazole), 'CHL' (chloramphenicol), 'COL' (colistin), and 'RIF' #>   (rifampicin) #> # A tibble: 2,000 × 5 #>    OXA   FLC   AMX   AMC   AMP   #>    <sir> <sir> <sir> <sir> <sir> #>  1 NA    NA    NA    I     NA    #>  2 NA    NA    NA    I     NA    #>  3 NA    R     NA    NA    NA    #>  4 NA    R     NA    NA    NA    #>  5 NA    R     NA    NA    NA    #>  6 NA    R     NA    NA    NA    #>  7 NA    S     R     S     R     #>  8 NA    S     R     S     R     #>  9 NA    R     NA    NA    NA    #> 10 NA    S     NA    NA    NA    #> # ℹ 1,990 more rows  # ab_selector() applies a filter in the `antibiotics` data set and is thus # very flexible. For instance, to select antibiotic columns with an oral DDD # of at least 1 gram: example_isolates[, ab_selector(oral_ddd > 1 & oral_units == \"g\")] #> ℹ For ab_selector(oral_ddd > 1 & oral_units == \"g\") using columns 'OXA' #>   (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC' #>   (amoxicillin/clavulanic acid), 'AMP' (ampicillin), 'KAN' (kanamycin), 'FOS' #>   (fosfomycin), 'LNZ' (linezolid), 'VAN' (vancomycin), 'ERY' (erythromycin), #>   'CLI' (clindamycin), 'MTR' (metronidazole), and 'CHL' (chloramphenicol) #> # A tibble: 2,000 × 13 #>    OXA   FLC   AMX   AMC   AMP   KAN   FOS   LNZ   VAN   ERY   CLI   MTR   CHL   #>    <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>  1 NA    NA    NA    I     NA    NA    NA    R     R     R     R     NA    NA    #>  2 NA    NA    NA    I     NA    NA    NA    R     R     R     R     NA    NA    #>  3 NA    R     NA    NA    NA    NA    NA    NA    S     R     NA    NA    NA    #>  4 NA    R     NA    NA    NA    NA    NA    NA    S     R     NA    NA    NA    #>  5 NA    R     NA    NA    NA    NA    NA    NA    S     R     NA    NA    NA    #>  6 NA    R     NA    NA    NA    NA    NA    NA    S     R     R     NA    NA    #>  7 NA    S     R     S     R     NA    NA    NA    S     S     NA    NA    NA    #>  8 NA    S     R     S     R     NA    NA    NA    S     S     NA    NA    NA    #>  9 NA    R     NA    NA    NA    NA    NA    NA    S     R     NA    NA    NA    #> 10 NA    S     NA    NA    NA    NA    NA    NA    S     S     NA    NA    NA    #> # ℹ 1,990 more rows  # \\donttest{ # dplyr -------------------------------------------------------------------  if (require(\"dplyr\")) {   tibble(kefzol = random_sir(5)) %>%     select(cephalosporins()) } #> ℹ For cephalosporins() using column 'kefzol' (cefazolin) #> # A tibble: 5 × 1 #>   kefzol #>   <sir>  #> 1 S      #> 2 R      #> 3 S      #> 4 S      #> 5 I       if (require(\"dplyr\")) {   # get AMR for all aminoglycosides e.g., per ward:   example_isolates %>%     group_by(ward) %>%     summarise(across(aminoglycosides(), resistance)) } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> Warning: There was 1 warning in `summarise()`. #> ℹ In argument: `across(aminoglycosides(), resistance)`. #> ℹ In group 3: `ward = \"Outpatient\"`. #> Caused by warning: #> ! Introducing NA: only 23 results available for KAN in group: ward = #> \"Outpatient\" (minimum = 30). #> # A tibble: 3 × 5 #>   ward         GEN   TOB   AMK   KAN #>   <chr>      <dbl> <dbl> <dbl> <dbl> #> 1 Clinical   0.229 0.315 0.626     1 #> 2 ICU        0.290 0.400 0.662     1 #> 3 Outpatient 0.2   0.368 0.605    NA if (require(\"dplyr\")) {   # You can combine selectors with '&' to be more specific:   example_isolates %>%     select(penicillins() & administrable_per_os()) } #> ℹ For penicillins() using columns 'PEN' (benzylpenicillin), 'OXA' #>   (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC' #>   (amoxicillin/clavulanic acid), 'AMP' (ampicillin), and 'TZP' #>   (piperacillin/tazobactam) #> ℹ For administrable_per_os() using columns 'OXA' (oxacillin), 'FLC' #>   (flucloxacillin), 'AMX' (amoxicillin), 'AMC' (amoxicillin/clavulanic acid), #>   'AMP' (ampicillin), 'CXM' (cefuroxime), 'KAN' (kanamycin), 'TMP' #>   (trimethoprim), 'NIT' (nitrofurantoin), 'FOS' (fosfomycin), 'LNZ' #>   (linezolid), 'CIP' (ciprofloxacin), 'MFX' (moxifloxacin), 'VAN' #>   (vancomycin), 'TCY' (tetracycline), 'DOX' (doxycycline), 'ERY' #>   (erythromycin), 'CLI' (clindamycin), 'AZM' (azithromycin), 'MTR' #>   (metronidazole), 'CHL' (chloramphenicol), 'COL' (colistin), and 'RIF' #>   (rifampicin) #> # A tibble: 2,000 × 5 #>    OXA   FLC   AMX   AMC   AMP   #>    <sir> <sir> <sir> <sir> <sir> #>  1 NA    NA    NA    I     NA    #>  2 NA    NA    NA    I     NA    #>  3 NA    R     NA    NA    NA    #>  4 NA    R     NA    NA    NA    #>  5 NA    R     NA    NA    NA    #>  6 NA    R     NA    NA    NA    #>  7 NA    S     R     S     R     #>  8 NA    S     R     S     R     #>  9 NA    R     NA    NA    NA    #> 10 NA    S     NA    NA    NA    #> # ℹ 1,990 more rows if (require(\"dplyr\")) {   # get AMR for only drugs that matter - no intrinsic resistance:   example_isolates %>%     filter(mo_genus() %in% c(\"Escherichia\", \"Klebsiella\")) %>%     group_by(ward) %>%     summarise(across(not_intrinsic_resistant(), resistance)) } #> ℹ Using column 'mo' as input for mo_genus() #> ℹ For not_intrinsic_resistant() removing columns 'PEN' #>   (benzylpenicillin), 'LNZ' (linezolid), 'VAN' (vancomycin), 'TEC' #>   (teicoplanin), 'ERY' (erythromycin), 'CLI' (clindamycin), 'AZM' #>   (azithromycin), and 'RIF' (rifampicin) #> Warning: There were 52 warnings in `summarise()`. #> The first warning was: #> ℹ In argument: `across(not_intrinsic_resistant(), resistance)`. #> ℹ In group 1: `ward = \"Clinical\"`. #> Caused by warning: #> ! Introducing NA: no results available for OXA in group: ward = \"Clinical\" #> (minimum = 30). #> ℹ Run `dplyr::last_dplyr_warnings()` to see the 51 remaining warnings. #> # A tibble: 3 × 33 #>   ward    OXA   FLC    AMX    AMC    AMP     TZP     CZO     FEP     CXM     FOX #>   <chr> <dbl> <dbl>  <dbl>  <dbl>  <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl> #> 1 Clin…    NA    NA  0.606  0.121  0.606  0.0504  0.0656  0.0159  0.0622  0.0648 #> 2 ICU      NA    NA  0.535  0.172  0.535  0.119  NA       0.0722  0.0828  0.0992 #> 3 Outp…    NA    NA NA     NA     NA     NA      NA      NA      NA      NA      #> # ℹ 22 more variables: CTX <dbl>, CAZ <dbl>, CRO <dbl>, GEN <dbl>, TOB <dbl>, #> #   AMK <dbl>, KAN <dbl>, TMP <dbl>, SXT <dbl>, NIT <dbl>, FOS <dbl>, #> #   CIP <dbl>, MFX <dbl>, TCY <dbl>, TGC <dbl>, DOX <dbl>, IPM <dbl>, #> #   MEM <dbl>, MTR <dbl>, CHL <dbl>, COL <dbl>, MUP <dbl> if (require(\"dplyr\")) {   # get susceptibility for antibiotics whose name contains \"trim\":   example_isolates %>%     filter(first_isolate()) %>%     group_by(ward) %>%     summarise(across(ab_selector(name %like% \"trim\"), susceptibility)) } #> ℹ For ab_selector(name %like% \"trim\") using columns 'TMP' (trimethoprim) #>   and 'SXT' (trimethoprim/sulfamethoxazole) #> # A tibble: 3 × 3 #>   ward         TMP   SXT #>   <chr>      <dbl> <dbl> #> 1 Clinical   0.627 0.807 #> 2 ICU        0.551 0.780 #> 3 Outpatient 0.667 0.821 if (require(\"dplyr\")) {   # this will select columns 'IPM' (imipenem) and 'MEM' (meropenem):   example_isolates %>%     select(carbapenems()) } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> # A tibble: 2,000 × 2 #>    IPM   MEM   #>    <sir> <sir> #>  1 NA    NA    #>  2 NA    NA    #>  3 NA    NA    #>  4 NA    NA    #>  5 NA    NA    #>  6 NA    NA    #>  7 NA    NA    #>  8 NA    NA    #>  9 NA    NA    #> 10 NA    NA    #> # ℹ 1,990 more rows if (require(\"dplyr\")) {   # this will select columns 'mo', 'AMK', 'GEN', 'KAN' and 'TOB':   example_isolates %>%     select(mo, aminoglycosides()) } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 2,000 × 5 #>    mo           GEN   TOB   AMK   KAN   #>    <mo>         <sir> <sir> <sir> <sir> #>  1 B_ESCHR_COLI NA    NA    NA    NA    #>  2 B_ESCHR_COLI NA    NA    NA    NA    #>  3 B_STPHY_EPDR NA    NA    NA    NA    #>  4 B_STPHY_EPDR NA    NA    NA    NA    #>  5 B_STPHY_EPDR NA    NA    NA    NA    #>  6 B_STPHY_EPDR NA    NA    NA    NA    #>  7 B_STPHY_AURS NA    S     NA    NA    #>  8 B_STPHY_AURS NA    S     NA    NA    #>  9 B_STPHY_EPDR NA    NA    NA    NA    #> 10 B_STPHY_EPDR NA    NA    NA    NA    #> # ℹ 1,990 more rows if (require(\"dplyr\")) {   # any() and all() work in dplyr's filter() too:   example_isolates %>%     filter(       any(aminoglycosides() == \"R\"),       all(cephalosporins_2nd() == \"R\")     ) } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For cephalosporins_2nd() using columns 'CXM' (cefuroxime) and 'FOX' #>   (cefoxitin) #> # A tibble: 112 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-02-21 4FC193     69 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  2 2002-03-16 4FC193     69 M      Clinical B_PSDMN_AERG R     NA    NA    R     #>  3 2002-04-08 130252     78 M      ICU      B_ENTRC_FCLS NA    NA    NA    NA    #>  4 2002-06-23 798871     82 M      Clinical B_ENTRC_FCLS NA    NA    NA    NA    #>  5 2002-06-23 798871     82 M      Clinical B_ENTRC_FCLS NA    NA    NA    NA    #>  6 2002-07-21 955940     82 F      Clinical B_PSDMN_AERG R     NA    NA    R     #>  7 2002-07-21 955940     82 F      Clinical B_PSDMN_AERG R     NA    NA    R     #>  8 2003-08-13 F35553     52 M      ICU      B_ENTRC_FCLS NA    NA    NA    NA    #>  9 2003-09-05 F35553     52 M      ICU      B_ENTRC_FCLS NA    NA    NA    NA    #> 10 2004-06-09 529296     69 M      ICU      B_ENTRC_FACM NA    NA    NA    NA    #> # ℹ 102 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … if (require(\"dplyr\")) {   # also works with c():   example_isolates %>%     filter(any(c(carbapenems(), aminoglycosides()) == \"R\")) } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 531 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-02-21 4FC193     69 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  2 2002-03-16 4FC193     69 M      Clinical B_PSDMN_AERG R     NA    NA    R     #>  3 2002-03-17 B30560     78 M      Clinical B_STPHY_CONS R     NA    R     R     #>  4 2002-04-04 E61143     67 M      Clinical B_STRPT_SNGN S     NA    NA    S     #>  5 2002-04-08 130252     78 M      ICU      B_ENTRC_FCLS NA    NA    NA    NA    #>  6 2002-04-14 F30196     73 M      Outpati… B_STRPT_GRPB S     NA    S     S     #>  7 2002-05-07 D91570     83 M      Clinical B_STPHY_CONS R     NA    R     R     #>  8 2002-05-07 D91570     83 M      Clinical B_STPHY_CONS R     NA    R     R     #>  9 2002-05-14 077552     86 F      Clinical B_STRPT_PNMN S     NA    NA    S     #> 10 2002-05-14 077552     86 F      Clinical B_STRPT_PNMN S     NA    NA    S     #> # ℹ 521 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … if (require(\"dplyr\")) {   # not setting any/all will automatically apply all():   example_isolates %>%     filter(aminoglycosides() == \"R\") } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ Assuming a filter on all 4 aminoglycosides. Wrap around all() or #>   any() to prevent this note. #> # A tibble: 427 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-02-21 4FC193     69 M      Clinical B_ENTRC_FACM NA    NA    NA    NA    #>  2 2002-03-17 B30560     78 M      Clinical B_STPHY_CONS R     NA    R     R     #>  3 2002-04-04 E61143     67 M      Clinical B_STRPT_SNGN S     NA    NA    S     #>  4 2002-04-08 130252     78 M      ICU      B_ENTRC_FCLS NA    NA    NA    NA    #>  5 2002-04-14 F30196     73 M      Outpati… B_STRPT_GRPB S     NA    S     S     #>  6 2002-05-07 D91570     83 M      Clinical B_STPHY_CONS R     NA    R     R     #>  7 2002-05-07 D91570     83 M      Clinical B_STPHY_CONS R     NA    R     R     #>  8 2002-05-14 077552     86 F      Clinical B_STRPT_PNMN S     NA    NA    S     #>  9 2002-05-14 077552     86 F      Clinical B_STRPT_PNMN S     NA    NA    S     #> 10 2002-05-16 D25302     65 F      ICU      B_STRPT_ANGN S     NA    NA    S     #> # ℹ 417 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … if (require(\"dplyr\")) {   # this will select columns 'mo' and all antimycobacterial drugs ('RIF'):   example_isolates %>%     select(mo, ab_class(\"mycobact\")) } #> ℹ For ab_class(\"mycobact\") using column 'RIF' (rifampicin) #> # A tibble: 2,000 × 2 #>    mo           RIF   #>    <mo>         <sir> #>  1 B_ESCHR_COLI R     #>  2 B_ESCHR_COLI R     #>  3 B_STPHY_EPDR NA    #>  4 B_STPHY_EPDR NA    #>  5 B_STPHY_EPDR NA    #>  6 B_STPHY_EPDR NA    #>  7 B_STPHY_AURS NA    #>  8 B_STPHY_AURS NA    #>  9 B_STPHY_EPDR NA    #> 10 B_STPHY_EPDR NA    #> # ℹ 1,990 more rows if (require(\"dplyr\")) {   # get bug/drug combinations for only glycopeptides in Gram-positives:   example_isolates %>%     filter(mo_is_gram_positive()) %>%     select(mo, glycopeptides()) %>%     bug_drug_combinations() %>%     format() } #> ℹ Using column 'mo' as input for mo_is_gram_positive() #> ℹ For glycopeptides() using columns 'VAN' (vancomycin) and 'TEC' #>   (teicoplanin) #> # A tibble: 2 × 8 #>   Group      Drug  CoNS  `E. faecalis` `S. aureus` `S. epidermidis` `S. hominis` #>   <chr>      <chr> <chr> <chr>         <chr>       <chr>            <chr>        #> 1 \"Glycopep… Teic… \"\"    \"\"            \" 0.0% (0/… \"64.1% (25/39)\"  \" 6.8% (4/5… #> 2 \"\"         Vanc… \" 0.… \" 0.0% (0/39… \" 0.0% (0/… \" 0.0% (0/171)\"  \" 0.0% (0/8… #> # ℹ 1 more variable: `S. pneumoniae` <chr> if (require(\"dplyr\")) {   data.frame(     some_column = \"some_value\",     J01CA01 = \"S\"   ) %>% # ATC code of ampicillin     select(penicillins()) # only the 'J01CA01' column will be selected } #> ℹ For penicillins() using column 'J01CA01' (ampicillin) #>   J01CA01 #> 1       S if (require(\"dplyr\")) {   # with recent versions of dplyr, this is all equal:   x <- example_isolates[carbapenems() == \"R\", ]   y <- example_isolates %>% filter(carbapenems() == \"R\")   z <- example_isolates %>% filter(if_all(carbapenems(), ~ .x == \"R\"))   identical(x, y) && identical(y, z) } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ Assuming a filter on all 2 carbapenems. Wrap around all() or any() to #>   prevent this note. #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ Assuming a filter on all 2 carbapenems. Wrap around all() or any() to #>   prevent this note. #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> [1] TRUE   # data.table --------------------------------------------------------------  # data.table is supported as well, just use it in the same way as with # base R, but add `with = FALSE` if using a single AB selector.  if (require(\"data.table\")) {   dt <- as.data.table(example_isolates)    # this does not work, it returns column *names*   dt[, carbapenems()] } #> Loading required package: data.table #>  #> Attaching package: ‘data.table’ #> The following objects are masked from ‘package:dplyr’: #>  #>     between, first, last #> The following objects are masked from ‘package:AMR’: #>  #>     %like%, like #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> [1] \"IPM\" \"MEM\" #> attr(,\"class\") #> [1] \"ab_selector\" \"character\"   if (require(\"data.table\")) {   # so `with = FALSE` is required   dt[, carbapenems(), with = FALSE] } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #>         IPM   MEM #>       <sir> <sir> #>    1:  <NA>  <NA> #>    2:  <NA>  <NA> #>    3:  <NA>  <NA> #>    4:  <NA>  <NA> #>    5:  <NA>  <NA> #>   ---             #> 1996:  <NA>  <NA> #> 1997:     S     S #> 1998:     S     S #> 1999:     S     S #> 2000:     S     S  # for multiple selections or AB selectors, `with = FALSE` is not needed: if (require(\"data.table\")) {   dt[, c(\"mo\", aminoglycosides())] } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #>                 mo   GEN   TOB   AMK   KAN #>               <mo> <sir> <sir> <sir> <sir> #>    1: B_ESCHR_COLI  <NA>  <NA>  <NA>  <NA> #>    2: B_ESCHR_COLI  <NA>  <NA>  <NA>  <NA> #>    3: B_STPHY_EPDR  <NA>  <NA>  <NA>  <NA> #>    4: B_STPHY_EPDR  <NA>  <NA>  <NA>  <NA> #>    5: B_STPHY_EPDR  <NA>  <NA>  <NA>  <NA> #>   ---                                      #> 1996: B_STRPT_PNMN     R     R     R     R #> 1997: B_ESCHR_COLI     S     S     S  <NA> #> 1998: B_STPHY_CONS     S  <NA>  <NA>  <NA> #> 1999: B_ESCHR_COLI     S     S  <NA>  <NA> #> 2000: B_KLBSL_PNMN     S     S  <NA>  <NA> if (require(\"data.table\")) {   dt[, c(carbapenems(), aminoglycosides())] } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #>         IPM   MEM   GEN   TOB   AMK   KAN #>       <sir> <sir> <sir> <sir> <sir> <sir> #>    1:  <NA>  <NA>  <NA>  <NA>  <NA>  <NA> #>    2:  <NA>  <NA>  <NA>  <NA>  <NA>  <NA> #>    3:  <NA>  <NA>  <NA>  <NA>  <NA>  <NA> #>    4:  <NA>  <NA>  <NA>  <NA>  <NA>  <NA> #>    5:  <NA>  <NA>  <NA>  <NA>  <NA>  <NA> #>   ---                                     #> 1996:  <NA>  <NA>     R     R     R     R #> 1997:     S     S     S     S     S  <NA> #> 1998:     S     S     S  <NA>  <NA>  <NA> #> 1999:     S     S     S     S  <NA>  <NA> #> 2000:     S     S     S     S  <NA>  <NA>  # row filters are also supported: if (require(\"data.table\")) {   dt[any(carbapenems() == \"S\"), ] } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #>            date patient   age gender       ward           mo   PEN   OXA   FLC #>          <Date>  <char> <num> <char>     <char>         <mo> <sir> <sir> <sir> #>   1: 2002-01-19  738003    71      M   Clinical B_ESCHR_COLI     R  <NA>  <NA> #>   2: 2002-01-19  738003    71      M   Clinical B_ESCHR_COLI     R  <NA>  <NA> #>   3: 2002-01-22  F35553    50      M        ICU B_PROTS_MRBL     R  <NA>  <NA> #>   4: 2002-01-22  F35553    50      M        ICU B_PROTS_MRBL     R  <NA>  <NA> #>   5: 2002-02-05  067927    45      F        ICU B_SERRT_MRCS     R  <NA>  <NA> #>  ---                                                                           #> 905: 2005-04-12  D71461    70      M        ICU B_ESCHR_COLI     R  <NA>  <NA> #> 906: 2009-11-12  650870    69      F Outpatient B_ESCHR_COLI     R  <NA>  <NA> #> 907: 2012-06-14  8CBCF2    41      F   Clinical B_STPHY_CONS     R     S     S #> 908: 2012-10-11  175532    78      M   Clinical B_ESCHR_COLI     R  <NA>  <NA> #> 909: 2013-11-23  A97263    77      M   Clinical B_KLBSL_PNMN     R  <NA>  <NA> #>        AMX   AMC   AMP   TZP   CZO   FEP   CXM   FOX   CTX   CAZ   CRO   GEN #>      <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>   1:  <NA>     I  <NA>  <NA>  <NA>  <NA>     S  <NA>     S  <NA>     S  <NA> #>   2:  <NA>     I  <NA>  <NA>  <NA>  <NA>     S  <NA>     S  <NA>     S  <NA> #>   3:  <NA>     I  <NA>  <NA>  <NA>  <NA>     S  <NA>     S     S     S  <NA> #>   4:  <NA>     I  <NA>  <NA>  <NA>  <NA>     S  <NA>     S     S     S  <NA> #>   5:     R     R     R  <NA>     R  <NA>     R     R  <NA>  <NA>  <NA>  <NA> #>  ---                                                                         #> 905:     S     S     S     S  <NA>     S     S     S     S     S     S     S #> 906:     S     S     S     S     S     S     S     S     S     S     S     S #> 907:  <NA>     S  <NA>  <NA>     S     S     S     S     S     R     S     S #> 908:     R     S     R     S  <NA>     S     R     R     S     S     S     S #> 909:     R     S     R     S  <NA>     S     S     S     S     S     S     S #>        TOB   AMK   KAN   TMP   SXT   NIT   FOS   LNZ   CIP   MFX   VAN   TEC #>      <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>   1:     S  <NA>  <NA>     S     S  <NA>  <NA>     R  <NA>  <NA>     R     R #>   2:     S  <NA>  <NA>     S     S  <NA>  <NA>     R  <NA>  <NA>     R     R #>   3:  <NA>  <NA>  <NA>     S     S     R  <NA>     R     S  <NA>     R     R #>   4:  <NA>  <NA>  <NA>     S     S     R  <NA>     R     S  <NA>     R     R #>   5:  <NA>  <NA>  <NA>     S     S     R  <NA>     R     S  <NA>     R     R #>  ---                                                                         #> 905:     S     S  <NA>  <NA>     S     S  <NA>     R     S  <NA>     R     R #> 906:     S     S  <NA>     S     S     S  <NA>     R     S  <NA>     R     R #> 907:  <NA>  <NA>  <NA>     S     S  <NA>  <NA>  <NA>     S  <NA>     S  <NA> #> 908:     S  <NA>  <NA>     R     R     R  <NA>     R     R     R     R     R #> 909:     S  <NA>  <NA>     S     S     S  <NA>     R     S  <NA>     R     R #>        TCY   TGC   DOX   ERY   CLI   AZM   IPM   MEM   MTR   CHL   COL   MUP #>      <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>   1:  <NA>  <NA>  <NA>     R     R     R     S  <NA>  <NA>  <NA>  <NA>  <NA> #>   2:  <NA>  <NA>  <NA>     R     R     R     S  <NA>  <NA>  <NA>  <NA>  <NA> #>   3:     R     R     R     R     R     R     S  <NA>  <NA>  <NA>     R  <NA> #>   4:     R     R     R     R     R     R     S  <NA>  <NA>  <NA>     R  <NA> #>   5:     R     R     R     R     R     R     S  <NA>  <NA>  <NA>     R  <NA> #>  ---                                                                         #> 905:  <NA>  <NA>  <NA>     R     R     R     S     S  <NA>  <NA>  <NA>  <NA> #> 906:  <NA>  <NA>  <NA>     R     R     R     S     S  <NA>  <NA>  <NA>  <NA> #> 907:  <NA>  <NA>  <NA>     S     S     S     S     S  <NA>  <NA>     R  <NA> #> 908:  <NA>  <NA>  <NA>     R     R     R     S     S  <NA>  <NA>     S  <NA> #> 909:  <NA>  <NA>  <NA>     R     R     R     S     S  <NA>  <NA>     S  <NA> #>        RIF #>      <sir> #>   1:     R #>   2:     R #>   3:     R #>   4:     R #>   5:     R #>  ---       #> 905:     R #> 906:     R #> 907:  <NA> #> 908:     R #> 909:     R if (require(\"data.table\")) {   dt[any(carbapenems() == \"S\"), penicillins(), with = FALSE] } #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ For penicillins() using columns 'PEN' (benzylpenicillin), 'OXA' #>   (oxacillin), 'FLC' (flucloxacillin), 'AMX' (amoxicillin), 'AMC' #>   (amoxicillin/clavulanic acid), 'AMP' (ampicillin), and 'TZP' #>   (piperacillin/tazobactam) #>        PEN   OXA   FLC   AMX   AMC   AMP   TZP #>      <sir> <sir> <sir> <sir> <sir> <sir> <sir> #>   1:     R  <NA>  <NA>  <NA>     I  <NA>  <NA> #>   2:     R  <NA>  <NA>  <NA>     I  <NA>  <NA> #>   3:     R  <NA>  <NA>  <NA>     I  <NA>  <NA> #>   4:     R  <NA>  <NA>  <NA>     I  <NA>  <NA> #>   5:     R  <NA>  <NA>     R     R     R  <NA> #>  ---                                           #> 905:     R  <NA>  <NA>     S     S     S     S #> 906:     R  <NA>  <NA>     S     S     S     S #> 907:     R     S     S  <NA>     S  <NA>  <NA> #> 908:     R  <NA>  <NA>     R     S     R     S #> 909:     R  <NA>  <NA>     R     S     R     S # }"},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Sets with 603 Antimicrobial Drugs — antibiotics","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"Two data sets containing antibiotics/antimycotics antivirals. Use .ab() one ab_* functions retrieve values antibiotics data set. Three identifiers included data set: antibiotic ID (ab, primarily used package) defined WHONET/EARS-Net, ATC code (atc) defined , Compound ID (cid) found PubChem. properties data set derived one codes. Note drugs multiple ATC codes.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"","code":"antibiotics  antivirals"},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"object class tbl_df (inherits tbl, data.frame) 120 rows 11 columns.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"for-the-antibiotics-data-set-a-tibble-with-observations-and-variables-","dir":"Reference","previous_headings":"","what":"For the antibiotics data set: a tibble with 483 observations and 14 variables:","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"ab Antibiotic ID used package (AMC), using official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes available. unique identifier. cid Compound ID found PubChem. unique identifier. name Official name used WHONET/EARS-Net . unique identifier. group short concise group name, based WHONET WHOCC definitions atc ATC codes (Anatomical Therapeutic Chemical) defined WHOCC, like J01CR02 atc_group1 Official pharmacological subgroup (3rd level ATC code) defined WHOCC, like \"Macrolides, lincosamides streptogramins\" atc_group2 Official chemical subgroup (4th level ATC code) defined WHOCC, like \"Macrolides\" abbr List abbreviations used many countries, also antibiotic susceptibility testing (AST) synonyms Synonyms (often trade names) drug, found PubChem based compound ID oral_ddd Defined Daily Dose (DDD), oral treatment, currently available 179 drugs oral_units Units oral_ddd iv_ddd Defined Daily Dose (DDD), parenteral (intravenous) treatment, currently available 153 drugs iv_units Units iv_ddd loinc codes associated name antimicrobial drug Logical Observation Identifiers Names Codes (LOINC), Version 2.76 (18 September, 2023). Use ab_loinc() retrieve quickly, see ab_property().","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"for-the-antivirals-data-set-a-tibble-with-observations-and-variables-","dir":"Reference","previous_headings":"","what":"For the antivirals data set: a tibble with 120 observations and 11 variables:","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"av Antiviral ID used package (ACI), using official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes available. unique identifier. Combinations codes contain + indicate , ATA+COBI atazanavir/cobicistat. name Official name used WHONET/EARS-Net . unique identifier. atc ATC codes (Anatomical Therapeutic Chemical) defined WHOCC cid Compound ID found PubChem. unique identifier. atc_group Official pharmacological subgroup (3rd level ATC code) defined WHOCC synonyms Synonyms (often trade names) drug, found PubChem based compound ID oral_ddd Defined Daily Dose (DDD), oral treatment oral_units Units oral_ddd iv_ddd Defined Daily Dose (DDD), parenteral treatment iv_units Units iv_ddd loinc codes associated name antiviral drug Logical Observation Identifiers Names Codes (LOINC), Version 2.76 (18 September, 2023). Use av_loinc() retrieve quickly, see av_property().","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"World Health Organization () Collaborating Centre Drug Statistics Methodology (WHOCC): https://www.whocc./atc_ddd_index/ Logical Observation Identifiers Names Codes (LOINC), Version 2.76 (18 September, 2023). Accessed https://loinc.org October 19th, 2023. European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"Properties based ATC code available ATC available. properties : atc_group1, atc_group2, oral_ddd, oral_units, iv_ddd iv_units. Synonyms (.e. trade names) derived PubChem Compound ID (column cid) consequently available CID available.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"direct-download","dir":"Reference","previous_headings":"","what":"Direct download","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"Like data sets package, data sets publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"whocc","dir":"Reference","previous_headings":"","what":"WHOCC","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"package contains ~550 antibiotic, antimycotic antiviral drugs Anatomical Therapeutic Chemical (ATC) codes, ATC groups Defined Daily Dose (DDD) World Health Organization Collaborating Centre Drug Statistics Methodology (WHOCC, https://www.whocc.) Pharmaceuticals Community Register European Commission (https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm). become gold standard international drug utilisation monitoring research. WHOCC located Oslo Norwegian Institute Public Health funded Norwegian government. European Commission executive European Union promotes general interest. NOTE: WHOCC copyright allow use commercial purposes, unlike info package. See https://www.whocc./copyright_disclaimer/.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/antibiotics.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Sets with 603 Antimicrobial Drugs — antibiotics","text":"","code":"antibiotics #> # A tibble: 483 × 14 #>    ab        cid name   group atc   atc_group1 atc_group2 abbreviations synonyms #>    <ab>    <dbl> <chr>  <chr> <lis> <chr>      <chr>      <list>        <named > #>  1 AMA      4649 4-ami… Anti… <chr> Drugs for… Aminosali… <chr [1]>     <chr>    #>  2 ACM   6450012 Acety… Macr… <chr> NA         NA         <chr [1]>     <chr>    #>  3 ASP  49787020 Acety… Macr… <chr> NA         NA         <chr [1]>     <chr>    #>  4 ALS      8954 Aldes… Othe… <chr> Drugs for… Drugs for… <chr [1]>     <chr>    #>  5 AMK     37768 Amika… Amin… <chr> Aminoglyc… Other ami… <chr [5]>     <chr>    #>  6 AKF        NA Amika… Amin… <chr> NA         NA         <chr [1]>     <chr>    #>  7 AMX     33613 Amoxi… Beta… <chr> Beta-lact… Penicilli… <chr [3]>     <chr>    #>  8 AMC  23665637 Amoxi… Beta… <chr> Beta-lact… Combinati… <chr [5]>     <chr>    #>  9 AXS    465441 Amoxi… Beta… <chr> NA         NA         <chr [1]>     <chr>    #> 10 AMB   5280965 Ampho… Anti… <chr> Antimycot… Antibioti… <chr [3]>     <chr>    #> # ℹ 473 more rows #> # ℹ 5 more variables: oral_ddd <dbl>, oral_units <chr>, iv_ddd <dbl>, #> #   iv_units <chr>, loinc <list> antivirals #> # A tibble: 120 × 11 #>    av       name      atc      cid atc_group synonyms oral_ddd oral_units iv_ddd #>    <av>     <chr>     <chr>  <dbl> <chr>     <list>      <dbl> <chr>       <dbl> #>  1 ABA      Abacavir  J05A… 4.41e5 Nucleosi… <chr>         0.6 g              NA #>  2 ACI      Aciclovir J05A… 1.35e8 Nucleosi… <chr>         4   g               4 #>  3 ADD      Adefovir… J05A… 6.09e4 Nucleosi… <chr>        10   mg             NA #>  4 AME      Amenamev… J05A… 1.14e7 Other an… <chr>         0.4 g              NA #>  5 AMP      Amprenav… J05A… 6.50e4 Protease… <chr>         1.2 g              NA #>  6 ASU      Asunapre… J05A… 1.61e7 Antivira… <chr>         0.2 g              NA #>  7 ATA      Atazanav… J05A… 1.48e5 Protease… <chr>         0.3 g              NA #>  8 ATA+COBI Atazanav… J05A… 8.66e7 Antivira… <chr>        NA   NA             NA #>  9 ATA+RIT  Atazanav… J05A… 2.51e7 Antivira… <chr>         0.3 g              NA #> 10 BAM      Baloxavi… J05A… 1.24e8 Other an… <chr>        40   mg             NA #> # ℹ 110 more rows #> # ℹ 2 more variables: iv_units <chr>, loinc <list>"},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Input to an Antibiotic ID — as.ab","title":"Transform Input to an Antibiotic ID — as.ab","text":"Use function determine antibiotic drug code one antibiotics. data set antibiotics searched abbreviations, official names synonyms (brand names).","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Input to an Antibiotic ID — as.ab","text":"","code":"as.ab(x, flag_multiple_results = TRUE, info = interactive(), ...)  is.ab(x)"},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Input to an Antibiotic ID — as.ab","text":"x character vector determine antibiotic ID flag_multiple_results logical indicate whether note printed console probably one antibiotic drug code name can retrieved single input value. info logical indicate whether progress bar printed - default TRUE interactive mode ... arguments passed internal functions","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Input to an Antibiotic ID — as.ab","text":"character  vector additional class ab","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Input to an Antibiotic ID — as.ab","text":"entries antibiotics data set three different identifiers: human readable EARS-Net code (column ab, used ECDC WHONET), ATC code (column atc, used ), CID code (column cid, Compound ID, used PubChem). data set contains 5,000 official brand names many different countries, found PubChem. drugs contain multiple ATC codes. properties searched user input. .ab() can correct different forms misspelling: Wrong spelling drug names (\"tobramicin\" \"gentamycin\"), corrects audible similarities f/ph, x/ks, c/z/s, t/th, etc. many vowels consonants Switching two characters (\"mreopenem\", often case clinical data, doctors typed fast) Digitalised paper records, leaving artefacts like 0/o/O (zero O's), B/8, n/r, etc. Use ab_* functions get properties based returned antibiotic ID, see Examples. Note: .ab() ab_* functions may use long regular expression match brand names antimicrobial drugs. may fail systems. can add manual codes considered .ab() ab_* functions, see add_custom_antimicrobials().","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Transform Input to an Antibiotic ID — as.ab","text":"World Health Organization () Collaborating Centre Drug Statistics Methodology: https://www.whocc./atc_ddd_index/ European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"whocc","dir":"Reference","previous_headings":"","what":"WHOCC","title":"Transform Input to an Antibiotic ID — as.ab","text":"package contains ~550 antibiotic, antimycotic antiviral drugs Anatomical Therapeutic Chemical (ATC) codes, ATC groups Defined Daily Dose (DDD) World Health Organization Collaborating Centre Drug Statistics Methodology (WHOCC, https://www.whocc.) Pharmaceuticals Community Register European Commission (https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm). become gold standard international drug utilisation monitoring research. WHOCC located Oslo Norwegian Institute Public Health funded Norwegian government. European Commission executive European Union promotes general interest. NOTE: WHOCC copyright allow use commercial purposes, unlike info package. See https://www.whocc./copyright_disclaimer/.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Transform Input to an Antibiotic ID — as.ab","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.ab.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Input to an Antibiotic ID — as.ab","text":"","code":"# these examples all return \"ERY\", the ID of erythromycin: as.ab(\"J01FA01\") #> Class 'ab' #> [1] ERY as.ab(\"J 01 FA 01\") #> Class 'ab' #> [1] ERY as.ab(\"Erythromycin\") #> Class 'ab' #> [1] ERY as.ab(\"eryt\") #> Class 'ab' #> [1] ERY as.ab(\"   eryt 123\") #> Class 'ab' #> [1] ERY as.ab(\"ERYT\") #> Class 'ab' #> [1] ERY as.ab(\"ERY\") #> Class 'ab' #> [1] ERY as.ab(\"eritromicine\") # spelled wrong, yet works #> Class 'ab' #> [1] ERY as.ab(\"Erythrocin\") # trade name #> Class 'ab' #> [1] ERY as.ab(\"Romycin\") # trade name #> Class 'ab' #> [1] ERY  # spelling from different languages and dyslexia are no problem ab_atc(\"ceftriaxon\") #> [1] \"J01DD04\" ab_atc(\"cephtriaxone\") # small spelling error #> [1] \"J01DD04\" ab_atc(\"cephthriaxone\") # or a bit more severe #> [1] \"J01DD04\" ab_atc(\"seephthriaaksone\") # and even this works #> [1] \"J01DD04\"  # use ab_* functions to get a specific properties (see ?ab_property); # they use as.ab() internally: ab_name(\"J01FA01\") #> [1] \"Erythromycin\" ab_name(\"eryt\") #> [1] \"Erythromycin\"  # \\donttest{ if (require(\"dplyr\")) {   # you can quickly rename 'sir' columns using set_ab_names() with dplyr:   example_isolates %>%     set_ab_names(where(is.sir), property = \"atc\") } #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           J01CE01 J01CF04 J01CF05 #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir>   <sir>   <sir>   #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R       NA      NA      #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R       NA      NA      #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R       NA      R       #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R       NA      R       #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R       NA      R       #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R       NA      R       #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R       NA      S       #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R       NA      S       #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R       NA      R       #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R       NA      S       #> # ℹ 1,990 more rows #> # ℹ 37 more variables: J01CA04 <sir>, J01CR02 <sir>, J01CA01 <sir>, #> #   J01CR05 <sir>, J01DB04 <sir>, J01DE01 <sir>, J01DC02 <sir>, J01DC01 <sir>, #> #   J01DD01 <sir>, J01DD02 <sir>, J01DD04 <sir>, J01GB03 <sir>, J01GB01 <sir>, #> #   J01GB06 <sir>, J01GB04 <sir>, J01EA01 <sir>, J01EE01 <sir>, J01XE01 <sir>, #> #   J01XX01 <sir>, J01XX08 <sir>, J01MA02 <sir>, J01MA14 <sir>, J01XA01 <sir>, #> #   J01XA02 <sir>, J01AA07 <sir>, J01AA12 <sir>, J01AA02 <sir>, … # }"},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Input to an Antiviral Drug ID — as.av","title":"Transform Input to an Antiviral Drug ID — as.av","text":"Use function determine antiviral drug code one antiviral drugs. data set antivirals searched abbreviations, official names synonyms (brand names).","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Input to an Antiviral Drug ID — as.av","text":"","code":"as.av(x, flag_multiple_results = TRUE, info = interactive(), ...)  is.av(x)"},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Input to an Antiviral Drug ID — as.av","text":"x character vector determine antiviral drug ID flag_multiple_results logical indicate whether note printed console probably one antiviral drug code name can retrieved single input value. info logical indicate whether progress bar printed - default TRUE interactive mode ... arguments passed internal functions","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Input to an Antiviral Drug ID — as.av","text":"character  vector additional class ab","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Input to an Antiviral Drug ID — as.av","text":"entries antivirals data set three different identifiers: human readable EARS-Net code (column ab, used ECDC WHONET), ATC code (column atc, used ), CID code (column cid, Compound ID, used PubChem). data set contains 5,000 official brand names many different countries, found PubChem. drugs contain multiple ATC codes. properties searched user input. .av() can correct different forms misspelling: Wrong spelling drug names (\"acyclovir\"), corrects audible similarities f/ph, x/ks, c/z/s, t/th, etc. many vowels consonants Switching two characters (\"aycclovir\", often case clinical data, doctors typed fast) Digitalised paper records, leaving artefacts like 0/o/O (zero O's), B/8, n/r, etc. Use av_* functions get properties based returned antiviral drug ID, see Examples. Note: .av() av_* functions may use long regular expression match brand names antimicrobial drugs. may fail systems.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Transform Input to an Antiviral Drug ID — as.av","text":"World Health Organization () Collaborating Centre Drug Statistics Methodology: https://www.whocc./atc_ddd_index/ European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"whocc","dir":"Reference","previous_headings":"","what":"WHOCC","title":"Transform Input to an Antiviral Drug ID — as.av","text":"package contains ~550 antibiotic, antimycotic antiviral drugs Anatomical Therapeutic Chemical (ATC) codes, ATC groups Defined Daily Dose (DDD) World Health Organization Collaborating Centre Drug Statistics Methodology (WHOCC, https://www.whocc.) Pharmaceuticals Community Register European Commission (https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm). become gold standard international drug utilisation monitoring research. WHOCC located Oslo Norwegian Institute Public Health funded Norwegian government. European Commission executive European Union promotes general interest. NOTE: WHOCC copyright allow use commercial purposes, unlike info package. See https://www.whocc./copyright_disclaimer/.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Transform Input to an Antiviral Drug ID — as.av","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.av.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Input to an Antiviral Drug ID — as.av","text":"","code":"# these examples all return \"ACI\", the ID of aciclovir: as.av(\"J05AB01\") #> Class 'av' #> [1] ACI as.av(\"J 05 AB 01\") #> Class 'av' #> [1] ACI as.av(\"Aciclovir\") #> Class 'av' #> [1] ACI as.av(\"aciclo\") #> Class 'av' #> [1] ACI as.av(\"   aciclo 123\") #> Class 'av' #> [1] ACI as.av(\"ACICL\") #> Class 'av' #> [1] ACI as.av(\"ACI\") #> Class 'av' #> [1] ACI as.av(\"Virorax\") # trade name #> Class 'av' #> [1] ACI as.av(\"Zovirax\") # trade name #> Class 'av' #> [1] ACI  as.av(\"acyklofir\") # severe spelling error, yet works #> Class 'av' #> [1] ACI  # use av_* functions to get a specific properties (see ?av_property); # they use as.av() internally: av_name(\"J05AB01\") #> [1] \"Aciclovir\" av_name(\"acicl\") #> [1] \"Aciclovir\""},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Input to Disk Diffusion Diameters — as.disk","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"transforms vector new class disk, disk diffusion growth zone size (around antibiotic disk) millimetres 6 50.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"","code":"as.disk(x, na.rm = FALSE)  NA_disk_  is.disk(x)"},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"object class disk (inherits integer) length 1.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"x vector na.rm logical indicating whether missing values removed","code":""},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"integer additional class disk","code":""},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"Interpret disk values SIR values .sir(). supports guidelines EUCAST CLSI. Disk diffusion growth zone sizes must 6 50 millimetres. Values higher 50 lower 100 maximised 50. others input values outside 6-50 range return NA. NA_disk_ missing value new disk class.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.disk.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Input to Disk Diffusion Diameters — as.disk","text":"","code":"# transform existing disk zones to the `disk` class (using base R) df <- data.frame(   microorganism = \"Escherichia coli\",   AMP = 20,   CIP = 14,   GEN = 18,   TOB = 16 ) df[, 2:5] <- lapply(df[, 2:5], as.disk) str(df) #> 'data.frame':\t1 obs. of  5 variables: #>  $ microorganism: chr \"Escherichia coli\" #>  $ AMP          : 'disk' int 20 #>  $ CIP          : 'disk' int 14 #>  $ GEN          : 'disk' int 18 #>  $ TOB          : 'disk' int 16  # \\donttest{ # transforming is easier with dplyr: if (require(\"dplyr\")) {   df %>% mutate(across(AMP:TOB, as.disk)) } #>      microorganism AMP CIP GEN TOB #> 1 Escherichia coli  20  14  18  16 # }  # interpret disk values, see ?as.sir as.sir(   x = as.disk(18),   mo = \"Strep pneu\", # `mo` will be coerced with as.mo()   ab = \"ampicillin\", # and `ab` with as.ab()   guideline = \"EUCAST\" ) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting disk diffusion zones: 'ampicillin' (AMP), EUCAST 2023... #>  OK  #> Class 'sir' #> [1] R  # interpret whole data set, pretend to be all from urinary tract infections: as.sir(df, uti = TRUE) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting disk diffusion zones: column 'AMP' (ampicillin), EUCAST #> 2023... #>  OK  #> Interpreting disk diffusion zones: column 'CIP' (ciprofloxacin), EUCAST #> 2023... #>  OK  #> Interpreting disk diffusion zones: column 'GEN' (gentamicin), EUCAST #> 2023... #>  OK  #> Interpreting disk diffusion zones: column 'TOB' (tobramycin), EUCAST #> 2023... #>  OK  #>      microorganism AMP  CIP GEN TOB #> 1 Escherichia coli   S <NA>   S   S"},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"transforms vectors new class mic, treats input decimal numbers, maintaining operators (\">=\") allowing valid MIC values known field (medical) microbiology.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"","code":"as.mic(x, na.rm = FALSE, keep_operators = \"all\")  is.mic(x)  NA_mic_  limit_mic_range(x, mic_range, keep_operators = \"edges\", as.mic = TRUE)  # S3 method for mic droplevels(x, as.mic = FALSE, ...)"},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"x character numeric vector na.rm logical indicating whether missing values removed keep_operators character specifying handle operators (> <=) input. Accepts one three values: \"\" (TRUE) keep operators, \"none\" (FALSE) remove operators, \"edges\" keep operators ends range. mic_range manual range limit MIC values, e.g., mic_range = c(0.001, 32). Use NA set limit one side, e.g., mic_range = c(NA, 32). .mic logical indicate whether mic class kept - default FALSE ... arguments passed methods","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"Ordered factor additional class mic, mathematical operations acts numeric vector. Bear mind outcome mathematical operation MICs return numeric value.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"interpret MIC values SIR values, use .sir() MIC values. supports guidelines EUCAST (2011-2023) CLSI (2011-2023). class MIC values quite special data type: formally ordered factor valid MIC values factor levels (make sure valid MIC values retained), mathematical operation acts decimal numbers:   makes possible maintain operators often come MIC values, \">=\" \"<=\", even filtering using numeric values data analysis, e.g.:   -called group generic functions implemented MIC class (!, !=, <, >=, exp(), log2()). functions stats package also implemented (quantile(), median(), fivenum()). Since sd() var() non-generic functions, extended. Use mad() alternative, use e.g. sd(.numeric(x)) x vector MIC values. Using .double() .numeric() MIC values remove operators return numeric vector. use .integer() MIC values R convention factors, return index factor levels (often useless regular users). Use droplevels() drop unused levels. default, return plain factor. Use droplevels(..., .mic = TRUE) maintain mic class. limit_mic_range(), existing MIC ranges can limited defined range MIC values. can useful better compare MIC distributions. ggplot2, use one scale_*_mic() functions plot MIC values. allows custom MIC ranges plot intermediate log2 levels missing MIC values. NA_mic_ missing value new mic class, analogous e.g. base R's NA_character_.","code":"x <- random_mic(10) x #> Class 'mic' #>  [1] 16     1      8      8      64     >=128  0.0625 32     32     16  is.factor(x) #> [1] TRUE  x[1] * 2 #> [1] 32  median(x) #> [1] 26 x[x > 4] #> Class 'mic' #> [1] 16    8     8     64    >=128 32    32    16  df <- data.frame(x, hospital = \"A\") subset(df, x > 4) # or with dplyr: df %>% filter(x > 4) #>        x hospital #> 1     16        A #> 5     64        A #> 6  >=128        A #> 8     32        A #> 9     32        A #> 10    16        A"},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.mic.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic","text":"","code":"mic_data <- as.mic(c(\">=32\", \"1.0\", \"1\", \"1.00\", 8, \"<=0.128\", \"8\", \"16\", \"16\")) mic_data #> Class 'mic' #> [1] >=32    1       1       1       8       <=0.128 8       16      16      is.mic(mic_data) #> [1] TRUE  # this can also coerce combined MIC/SIR values: as.mic(\"<=0.002; S\") #> Class 'mic' #> [1] <=0.002  # mathematical processing treats MICs as numeric values fivenum(mic_data) #> [1]  0.128  1.000  8.000 16.000 32.000 quantile(mic_data) #>     0%    25%    50%    75%   100%  #>  0.128  1.000  8.000 16.000 32.000  all(mic_data < 512) #> [1] TRUE  # limit MICs using limit_mic_range() limit_mic_range(mic_data, mic_range = c(4, 16)) #> Class 'mic' #> [1] >=16 <=4  <=4  <=4  8    <=4  8    >=16 >=16  # interpret MIC values as.sir(   x = as.mic(2),   mo = as.mo(\"Streptococcus pneumoniae\"),   ab = \"AMX\",   guideline = \"EUCAST\" ) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMX' (amoxicillin), EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for amoxicillin (AMX) in Streptococcus #>      pneumoniae - assuming body site 'Meningitis'. #> Class 'sir' #> [1] R as.sir(   x = as.mic(c(0.01, 2, 4, 8)),   mo = as.mo(\"Streptococcus pneumoniae\"),   ab = \"AMX\",   guideline = \"EUCAST\" ) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMX' (amoxicillin), EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for amoxicillin (AMX) in Streptococcus #>      pneumoniae - assuming body site 'Meningitis'. #> Class 'sir' #> [1] S R R R  # plot MIC values, see ?plot plot(mic_data)  plot(mic_data, mo = \"E. coli\", ab = \"cipro\")   if (require(\"ggplot2\")) {   autoplot(mic_data, mo = \"E. coli\", ab = \"cipro\") }  if (require(\"ggplot2\")) {   autoplot(mic_data, mo = \"E. coli\", ab = \"cipro\", language = \"nl\") # Dutch }"},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"Use function get valid microorganism code (mo) based arbitrary user input. Determination done using intelligent rules complete taxonomic tree kingdoms Animalia, Archaea, Bacteria, Protozoa, microbial species kingdom Fungi (see Source). input can almost anything: full name (like \"Staphylococcus aureus\"), abbreviated name (\"S. aureus\"), abbreviation known field (\"MRSA\"), just genus. See Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"","code":"as.mo(   x,   Becker = FALSE,   Lancefield = FALSE,   minimum_matching_score = NULL,   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   reference_df = get_mo_source(),   ignore_pattern = getOption(\"AMR_ignore_pattern\", NULL),   cleaning_regex = getOption(\"AMR_cleaning_regex\", mo_cleaning_regex()),   language = get_AMR_locale(),   info = interactive(),   ... )  is.mo(x)  mo_uncertainties()  mo_renamed()  mo_failures()  mo_reset_session()  mo_cleaning_regex()"},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"x character vector data.frame one two columns Becker logical indicate whether staphylococci categorised coagulase-negative staphylococci (\"CoNS\") coagulase-positive staphylococci (\"CoPS\") instead species, according Karsten Becker et al. (see Source). Please see Details full list staphylococcal species converted. excludes Staphylococcus aureus default, use Becker = \"\" also categorise S. aureus \"CoPS\". Lancefield logical indicate whether beta-haemolytic Streptococcus categorised Lancefield groups instead species, according Rebecca C. Lancefield (see Source). streptococci categorised first group, e.g. Streptococcus dysgalactiae group C, although officially also categorised groups G L. . Please see Details full list streptococcal species converted. excludes enterococci default (group D), use Lancefield = \"\" also categorise enterococci group D. minimum_matching_score numeric value set lower limit MO matching score. left blank, determined automatically based character length x, taxonomic kingdom human pathogenicity. keep_synonyms logical indicate old, previously valid taxonomic names must preserved corrected currently accepted names. default FALSE, return note old taxonomic names processed. default can set package option AMR_keep_synonyms, .e. options(AMR_keep_synonyms = TRUE) options(AMR_keep_synonyms = FALSE). reference_df data.frame used extra reference translating x valid mo. See set_mo_source() get_mo_source() automate usage codes (e.g. used analysis organisation). ignore_pattern Perl-compatible regular expression (case-insensitive) matches x must return NA. can convenient exclude known non-relevant input can also set package option AMR_ignore_pattern, e.g. options(AMR_ignore_pattern = \"(reported|contaminated flora)\"). cleaning_regex Perl-compatible regular expression (case-insensitive) clean input x. Every matched part x removed. default, outcome mo_cleaning_regex(), removes texts brackets texts \"species\" \"serovar\". default can set package option AMR_cleaning_regex. language language translate text like \"growth\", defaults system language (see get_AMR_locale()) info logical indicate progress bar printed 25 items coerced - default TRUE interactive mode ... arguments passed functions","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"character  vector additional class mo","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"microorganism (MO) code package (class: mo) human readable typically looks like examples:   Values coerced considered 'unknown' returned MO code UNKNOWN warning. Use mo_* functions get properties based returned code, see Examples. .mo() function uses novel matching score algorithm (see Matching Score Microorganisms ) match input available microbial taxonomy package. lead effect e.g. \"E. coli\" (microorganism highly prevalent humans) return microbial ID Escherichia coli Entamoeba coli (microorganism less prevalent humans), although latter alphabetically come first. Becker = TRUE, following 85 staphylococci converted coagulase-negative group: S. argensis, S. arlettae, S. auricularis, S. borealis, S. caeli, S. caledonicus, S. canis, S. capitis, S. capitis capitis, S. capitis urealyticus, S. capitis ureolyticus, S. caprae, S. carnosus, S. carnosus carnosus, S. carnosus utilis, S. casei, S. caseolyticus, S. chromogenes, S. cohnii, S. cohnii cohnii, S. cohnii urealyticum, S. cohnii urealyticus, S. condimenti, S. croceilyticus, S. debuckii, S. devriesei, S. durrellii, S. edaphicus, S. epidermidis, S. equorum, S. equorum equorum, S. equorum linens, S. felis, S. fleurettii, S. gallinarum, S. haemolyticus, S. hominis, S. hominis hominis, S. hominis novobiosepticus, S. jettensis, S. kloosii, S. lentus, S. lloydii, S. lugdunensis, S. massiliensis, S. microti, S. muscae, S. nepalensis, S. pasteuri, S. petrasii, S. petrasii croceilyticus, S. petrasii jettensis, S. petrasii petrasii, S. petrasii pragensis, S. pettenkoferi, S. piscifermentans, S. pragensis, S. pseudoxylosus, S. pulvereri, S. ratti, S. rostri, S. saccharolyticus, S. saprophyticus, S. saprophyticus bovis, S. saprophyticus saprophyticus, S. schleiferi, S. schleiferi schleiferi, S. sciuri, S. sciuri carnaticus, S. sciuri lentus, S. sciuri rodentium, S. sciuri sciuri, S. simulans, S. stepanovicii, S. succinus, S. succinus casei, S. succinus succinus, S. taiwanensis, S. urealyticus, S. ureilyticus, S. veratri, S. vitulinus, S. vitulus, S. warneri, S. xylosus. following 16 staphylococci converted coagulase-positive group: S. agnetis, S. argenteus, S. coagulans, S. cornubiensis, S. delphini, S. hyicus, S. hyicus chromogenes, S. hyicus hyicus, S. intermedius, S. lutrae, S. pseudintermedius, S. roterodami, S. schleiferi coagulans, S. schweitzeri, S. simiae, S. singaporensis. Lancefield = TRUE, following streptococci converted corresponding Lancefield group: S. agalactiae (Group B), S. anginosus anginosus (Group F), S. anginosus whileyi (Group F), S. anginosus (Group F), S. canis (Group G), S. dysgalactiae dysgalactiae (Group C), S. dysgalactiae equisimilis (Group C), S. dysgalactiae (Group C), S. equi equi (Group C), S. equi ruminatorum (Group C), S. equi zooepidemicus (Group C), S. equi (Group C), S. pyogenes (Group ), S. salivarius salivarius (Group K), S. salivarius thermophilus (Group K), S. salivarius (Group K), S. sanguinis (Group H).","code":"Code               Full name   ---------------    --------------------------------------   B_KLBSL            Klebsiella   B_KLBSL_PNMN       Klebsiella pneumoniae   B_KLBSL_PNMN_RHNS  Klebsiella pneumoniae rhinoscleromatis   |   |    |    |   |   |    |    |   |   |    |    \\---> subspecies, a 3-5 letter acronym   |   |    \\----> species, a 3-6 letter acronym   |   \\----> genus, a 4-8 letter acronym   \\----> taxonomic kingdom: A (Archaea), AN (Animalia), B (Bacteria),                             F (Fungi), PL (Plantae), P (Protozoa)"},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"coping-with-uncertain-results","dir":"Reference","previous_headings":"","what":"Coping with Uncertain Results","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"Results non-exact taxonomic input based matching score. lowest allowed score can set minimum_matching_score argument. default determined based character length input, taxonomic kingdom human pathogenicity taxonomic outcome. values matched uncertainty, message shown suggest user evaluate results mo_uncertainties(), returns data.frame specifications. increase quality matching, cleaning_regex argument can used clean input (.e., x). must regular expression matches parts input removed input matched available microbial taxonomy. matched Perl-compatible case-insensitive. default value cleaning_regex outcome helper function mo_cleaning_regex(). three helper functions can run using .mo() function: Use mo_uncertainties() get data.frame prints pretty format taxonomic names guessed. output contains matching score matches (see Matching Score Microorganisms ). Use mo_failures() get character vector values coerced valid value. Use mo_renamed() get data.frame values coerced based old, previously accepted taxonomic names.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"microbial-prevalence-of-pathogens-in-humans","dir":"Reference","previous_headings":"","what":"Microbial Prevalence of Pathogens in Humans","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"coercion rules consider prevalence microorganisms humans, available prevalence column microorganisms data set. grouping human pathogenic prevalence explained section Matching Score Microorganisms .","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"Berends MS et al. (2022). AMR: R Package Working Antimicrobial Resistance Data. Journal Statistical Software, 104(3), 1-31; doi:10.18637/jss.v104.i03 Becker K et al. (2014). Coagulase-Negative Staphylococci. Clin Microbiol Rev. 27(4): 870-926; doi:10.1128/CMR.00109-13 Becker K et al. (2019). Implications identifying recently defined members S. aureus complex, S. argenteus S. schweitzeri: position paper members ESCMID Study Group staphylococci Staphylococcal Diseases (ESGS). Clin Microbiol Infect; doi:10.1016/j.cmi.2019.02.028 Becker K et al. (2020). Emergence coagulase-negative staphylococci. Expert Rev Anti Infect Ther. 18(4):349-366; doi:10.1080/14787210.2020.1730813 Lancefield RC (1933). serological differentiation human groups hemolytic streptococci. J Exp Med. 57(4): 571-95; doi:10.1084/jem.57.4.571 Berends MS et al. (2022). Trends Occurrence Phenotypic Resistance Coagulase-Negative Staphylococci (CoNS) Found Human Blood Northern Netherlands 2013 2019/ Micro.rganisms 10(9), 1801; doi:10.3390/microorganisms10091801 Parte, AC et al. (2020). List Prokaryotic names Standing Nomenclature (LPSN) moves DSMZ. International Journal Systematic Evolutionary Microbiology, 70, 5607-5612; doi:10.1099/ijsem.0.004332 . Accessed https://lpsn.dsmz.de December 11th, 2022. GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset doi:10.15468/39omei . Accessed https://www.gbif.org January 8th, 2024. Reimer, LC et al. (2022). BacDive 2022: knowledge base standardized bacterial archaeal data. Nucleic Acids Res., 50(D1):D741-D74; doi:10.1093/nar/gkab961 . Accessed https://bacdive.dsmz.de May 12th, 2023. Public Health Information Network Vocabulary Access Distribution System (PHIN VADS). US Edition SNOMED CT 1 September 2020. Value Set Name 'Microorganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: https://phinvads.cdc.gov Bartlett et al. (2022). comprehensive list bacterial pathogens infecting humans Microbiology 168:001269; doi:10.1099/mic.0.001269","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"matching-score-for-microorganisms","dir":"Reference","previous_headings":"","what":"Matching Score for Microorganisms","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"ambiguous user input .mo() mo_* functions, returned results chosen based matching score using mo_matching_score(). matching score \\(m\\), calculated :  : \\(x\\) user input; \\(n\\) taxonomic name (genus, species, subspecies); \\(l_n\\) length \\(n\\); \\(lev\\) Levenshtein distance function (counting insertion 1, deletion substitution 2) needed change \\(x\\) \\(n\\); \\(p_n\\) human pathogenic prevalence group \\(n\\), described ; \\(k_n\\) taxonomic kingdom \\(n\\), set Bacteria = 1, Fungi = 1.25, Protozoa = 1.5, Archaea = 2, others = 3. grouping human pathogenic prevalence \\(p\\) based recent work Bartlett et al. (2022, doi:10.1099/mic.0.001269 ) extensively studied medical-scientific literature categorise bacterial species groups: Established, taxonomic species infected least three persons three references. records prevalence = 1.0 microorganisms data set; Putative, taxonomic species fewer three known cases. records prevalence = 1.25 microorganisms data set. Furthermore, genus present established list also prevalence = 1.0 microorganisms data set; genus present putative list prevalence = 1.25 microorganisms data set; species subspecies genus present two aforementioned groups, prevalence = 1.5 microorganisms data set; non-bacterial genus, species subspecies genus present following list, prevalence = 1.25 microorganisms data set: Absidia, Acanthamoeba, Acremonium, Aedes, Alternaria, Amoeba, Ancylostoma, Angiostrongylus, Anisakis, Anopheles, Apophysomyces, Arthroderma, Aspergillus, Aureobasidium, Basidiobolus, Beauveria, Blastocystis, Blastomyces, Candida, Capillaria, Chaetomium, Chrysonilia, Chrysosporium, Cladophialophora, Cladosporium, Conidiobolus, Contracaecum, Cordylobia, Cryptococcus, Curvularia, Demodex, Dermatobia, Dientamoeba, Diphyllobothrium, Dirofilaria, Echinostoma, Entamoeba, Enterobius, Exophiala, Exserohilum, Fasciola, Fonsecaea, Fusarium, Geotrichum, Giardia, Haloarcula, Halobacterium, Halococcus, Hendersonula, Heterophyes, Histomonas, Histoplasma, Hymenolepis, Hypomyces, Hysterothylacium, Kloeckera, Kodamaea, Leishmania, Lichtheimia, Lodderomyces, Malassezia, Malbranchea, Metagonimus, Meyerozyma, Microsporidium, Microsporum, Millerozyma, Mortierella, Mucor, Mycocentrospora, Necator, Nectria, Ochroconis, Oesophagostomum, Oidiodendron, Opisthorchis, Paecilomyces, Pediculus, Penicillium, Phlebotomus, Phoma, Pichia, Piedraia, Pithomyces, Pityrosporum, Pneumocystis, Pseudallescheria, Pseudoterranova, Pulex, Rhizomucor, Rhizopus, Rhodotorula, Saccharomyces, Saprochaete, Sarcoptes, Scedosporium, Scolecobasidium, Scopulariopsis, Scytalidium, Spirometra, Sporobolomyces, Sporotrichum, Stachybotrys, Strongyloides, Syngamus, Taenia, Talaromyces, Toxocara, Trichinella, Trichobilharzia, Trichoderma, Trichomonas, Trichophyton, Trichosporon, Trichostrongylus, Trichuris, Tritirachium, Trombicula, Trypanosoma, Tunga, Verticillium, Wuchereria; records prevalence = 2.0 microorganisms data set. calculating matching score, characters \\(x\\) \\(n\\) ignored -Z, -z, 0-9, spaces parentheses. matches sorted descending matching score user input values, top match returned. lead effect e.g., \"E. coli\" return microbial ID Escherichia coli (\\(m = 0.688\\), highly prevalent microorganism found humans) Entamoeba coli (\\(m = 0.381\\), less prevalent microorganism humans), although latter alphabetically come first.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.mo.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform Arbitrary Input to Valid Microbial Taxonomy — as.mo","text":"","code":"# \\donttest{ # These examples all return \"B_STPHY_AURS\", the ID of S. aureus: as.mo(c(   \"sau\", # WHONET code   \"stau\",   \"STAU\",   \"staaur\",   \"S. aureus\",   \"S aureus\",   \"Sthafilokkockus aureus\", # handles incorrect spelling   \"Staphylococcus aureus (MRSA)\",   \"MRSA\", # Methicillin Resistant S. aureus   \"VISA\", # Vancomycin Intermediate S. aureus   \"VRSA\", # Vancomycin Resistant S. aureus   115329001 # SNOMED CT code )) #> Class 'mo' #>  [1] B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS #>  [6] B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS B_STPHY_AURS #> [11] B_STPHY_AURS B_STPHY_AURS  # Dyslexia is no problem - these all work: as.mo(c(   \"Ureaplasma urealyticum\",   \"Ureaplasma urealyticus\",   \"Ureaplasmium urealytica\",   \"Ureaplazma urealitycium\" )) #> Class 'mo' #> [1] B_URPLS_URLY B_URPLS_URLY B_URPLS_URLY B_URPLS_URLY  # input will get cleaned up with the input given in the `cleaning_regex` argument, # which defaults to `mo_cleaning_regex()`: cat(mo_cleaning_regex(), \"\\n\") #> ([^A-Za-z- \\(\\)\\[\\]{}]+|([({]|\\[).+([})]|\\])|(^| )(e?spp([^a-z]+|$)|e?ssp([^a-z]+|$)|serogr.?up[a-z]*|e?ss([^a-z]+|$)|e?sp([^a-z]+|$)|var([^a-z]+|$)|serovar[a-z]*|sube?species|biovar[a-z]*|e?species|Ig[ADEGM]|e?subsp|biotype|titer|dummy))   as.mo(\"Streptococcus group A\") #> Class 'mo' #> [1] B_STRPT_GRPA  as.mo(\"S. epidermidis\") # will remain species: B_STPHY_EPDR #> Class 'mo' #> [1] B_STPHY_EPDR as.mo(\"S. epidermidis\", Becker = TRUE) # will not remain species: B_STPHY_CONS #> Class 'mo' #> [1] B_STPHY_CONS  as.mo(\"S. pyogenes\") # will remain species: B_STRPT_PYGN #> Class 'mo' #> [1] B_STRPT_PYGN as.mo(\"S. pyogenes\", Lancefield = TRUE) # will not remain species: B_STRPT_GRPA #> Class 'mo' #> [1] B_STRPT_GRPA  # All mo_* functions use as.mo() internally too (see ?mo_property): mo_genus(\"E. coli\") #> [1] \"Escherichia\" mo_gramstain(\"ESCO\") #> [1] \"Gram-negative\" mo_is_intrinsic_resistant(\"ESCCOL\", ab = \"vanco\") #> ℹ Determining intrinsic resistance based on 'EUCAST Expert Rules' and #>   'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3 (2021). This note #>   will be shown once per session. #> [1] TRUE # }"},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":null,"dir":"Reference","previous_headings":"","what":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"Clean existing SIR values, interpret minimum inhibitory concentration (MIC) values disk diffusion diameters according EUCAST CLSI. .sir() transforms input new class sir, ordered factor levels S < < R. Currently breakpoints available: clinical microbiology EUCAST 2011-2023 CLSI 2011-2023; veterinary microbiology EUCAST 2021-2023 CLSI 2019-2023; ECOFFs (Epidemiological cut-values) EUCAST 2020-2023 CLSI 2022-2023. breakpoints used interpretation publicly available clinical_breakpoints data set.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"","code":"as.sir(x, ...)  NA_sir_  is.sir(x)  is_sir_eligible(x, threshold = 0.05)  # S3 method for mic as.sir(   x,   mo = NULL,   ab = deparse(substitute(x)),   guideline = getOption(\"AMR_guideline\", \"EUCAST\"),   uti = NULL,   conserve_capped_values = FALSE,   add_intrinsic_resistance = FALSE,   reference_data = AMR::clinical_breakpoints,   include_screening = getOption(\"AMR_include_screening\", FALSE),   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   host = NULL,   ... )  # S3 method for disk as.sir(   x,   mo = NULL,   ab = deparse(substitute(x)),   guideline = getOption(\"AMR_guideline\", \"EUCAST\"),   uti = NULL,   add_intrinsic_resistance = FALSE,   reference_data = AMR::clinical_breakpoints,   include_screening = getOption(\"AMR_include_screening\", FALSE),   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   host = NULL,   ... )  # S3 method for data.frame as.sir(   x,   ...,   col_mo = NULL,   guideline = getOption(\"AMR_guideline\", \"EUCAST\"),   uti = NULL,   conserve_capped_values = FALSE,   add_intrinsic_resistance = FALSE,   reference_data = AMR::clinical_breakpoints,   include_screening = getOption(\"AMR_include_screening\", FALSE),   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   host = NULL )  sir_interpretation_history(clean = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"interpretations minimum inhibitory concentration (MIC) values disk diffusion diameters: CLSI M39: Analysis Presentation Cumulative Antimicrobial Susceptibility Test Data, 2011-2023, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/microbiology/documents/m39/. CLSI M100: Performance Standard Antimicrobial Susceptibility Testing, 2011-2023, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/microbiology/documents/m100/. CLSI VET01: Performance Standards Antimicrobial Disk Dilution Susceptibility Tests Bacteria Isolated Animals, 2019-2023, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/veterinary-medicine/documents/vet01//. EUCAST Breakpoint tables interpretation MICs zone diameters, 2011-2023, European Committee Antimicrobial Susceptibility Testing (EUCAST). https://www.eucast.org/clinical_breakpoints.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"x vector values (class mic: MIC values mg/L, class disk: disk diffusion radius millimetres) ... using data.frame: names columns apply .sir() (supports tidy selection column1:column4). Otherwise: arguments passed methods. threshold maximum fraction invalid antimicrobial interpretations x, see Examples mo (vector ) text can coerced valid microorganism codes .mo(), can left empty determine automatically ab (vector ) text can coerced valid antimicrobial drug code .ab() guideline defaults EUCAST 2023 (latest implemented EUCAST guideline clinical_breakpoints data set), can set package option AMR_guideline. Currently supports EUCAST (2011-2023) CLSI (2011-2023), see Details. uti (Urinary Tract Infection) vector logicals (TRUE FALSE) specify whether UTI specific interpretation guideline chosen. using .sir() data.frame, can also column containing logicals left blank, data set searched column 'specimen', rows within column containing 'urin' ('urine', 'urina') regarded isolates UTI. See Examples. conserve_capped_values logical indicate MIC values starting \">\" (\">=\") must always return \"R\" , MIC values starting \"<\" (\"<=\") must always return \"S\" add_intrinsic_resistance (useful using EUCAST guideline) logical indicate whether intrinsic antibiotic resistance must also considered applicable bug-drug combinations, meaning e.g. ampicillin always return \"R\" Klebsiella species. Determination based intrinsic_resistant data set, based 'EUCAST Expert Rules' 'EUCAST Intrinsic Resistance Unusual Phenotypes' v3.3 (2021). reference_data data.frame used interpretation, defaults clinical_breakpoints data set. Changing argument allows using interpretation guidelines. argument must contain data set equal structure clinical_breakpoints data set (column names column types). Please note guideline argument ignored reference_data manually set. include_screening logical indicate clinical breakpoints screening allowed - default FALSE. Can also set package option AMR_include_screening. include_PKPD logical indicate PK/PD clinical breakpoints must applied last resort - default TRUE. Can also set package option AMR_include_PKPD. breakpoint_type type breakpoints use, either \"ECOFF\", \"animal\", \"human\". ECOFF stands Epidemiological Cut-values. default \"human\", can also set package option AMR_breakpoint_type. host set values veterinary species, automatically set \"animal\". host vector (column name) characters indicate host. useful veterinary breakpoints, requires breakpoint_type = \"animal\". values can text resembling animal species, even 20 supported languages package. foreign languages, sure set language set_AMR_locale() (though automatically guessed based system language). col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). clean logical indicate whether previously stored results forgotten returning 'logbook' results","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"Ordered factor new class sir","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"Note: clinical breakpoints package validated , imported , WHONET. public use AMR package endorsed CLSI EUCAST. See clinical_breakpoints information. NA_sir_ missing value new sir class, analogous e.g. base R's NA_character_.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"how-it-works","dir":"Reference","previous_headings":"","what":"How it Works","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":".sir() function can work four ways: cleaning raw / untransformed data. data cleaned contain values S, R try best determine intelligence. example, mixed values SIR interpretations MIC values \"<0.25; S\" coerced \"S\". Combined interpretations multiple test methods (seen laboratory records) \"S; S\" coerced \"S\", value like \"S; \" return NA warning input unclear. interpreting minimum inhibitory concentration (MIC) values according EUCAST CLSI. must clean MIC values first using .mic(), also gives columns new data class mic. Also, sure column microorganism names codes. found automatically, can set manually using mo argument. Using dplyr, SIR interpretation can done easily either:   Operators like \"<=\" stripped interpretation. using conserve_capped_values = TRUE, MIC value e.g. \">2\" always return \"R\", even breakpoint according chosen guideline \">=4\". prevent capped values raw laboratory data treated conservatively. default behaviour (conserve_capped_values = FALSE) considers \">2\" lower \">=4\" might case return \"S\" \"\". interpreting disk diffusion diameters according EUCAST CLSI. must clean disk zones first using .disk(), also gives columns new data class disk. Also, sure column microorganism names codes. found automatically, can set manually using mo argument. Using dplyr, SIR interpretation can done easily either:   interpreting complete data set, automatic determination MIC values, disk diffusion diameters, microorganism names codes, antimicrobial test results. done simply running .sir(your_data). points 2, 3 4: Use sir_interpretation_history() retrieve data.frame (tibble tibble package installed) results last .sir() call.","code":"your_data %>% mutate_if(is.mic, as.sir) your_data %>% mutate(across(where(is.mic), as.sir))  # for veterinary breakpoints, also set `host`: your_data %>% mutate_if(is.mic, as.sir, host = \"column_with_animal_hosts\", guideline = \"CLSI\") your_data %>% mutate_if(is.disk, as.sir) your_data %>% mutate(across(where(is.disk), as.sir))  # for veterinary breakpoints, also set `host`: your_data %>% mutate_if(is.disk, as.sir, host = \"column_with_animal_hosts\", guideline = \"CLSI\")"},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"supported-guidelines","dir":"Reference","previous_headings":"","what":"Supported Guidelines","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"interpreting MIC values well disk diffusion diameters, currently implemented guidelines clinical microbiology: EUCAST 2011-2023 CLSI 2011-2023, veterinary microbiology: EUCAST 2021-2023 CLSI 2019-2023. Thus, guideline argument must set e.g., \"EUCAST 2023\" \"CLSI 2023\". simply using \"EUCAST\" (default) \"CLSI\" input, latest included version guideline automatically selected. can set data set using reference_data argument. guideline argument ignored. can set default guideline package option AMR_guideline (e.g. .Rprofile file), :   veterinary guidelines, might best options:","code":"options(AMR_guideline = \"CLSI\")   options(AMR_guideline = \"CLSI 2018\")   options(AMR_guideline = \"EUCAST 2020\")   # or to reset:   options(AMR_guideline = NULL) options(AMR_guideline = \"CLSI\")   options(AMR_breakpoint_type = \"animal\")"},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"after-interpretation","dir":"Reference","previous_headings":"","what":"After Interpretation","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"using .sir(), can use eucast_rules() defined EUCAST (1) apply inferred susceptibility resistance based results antimicrobials (2) apply intrinsic resistance based taxonomic properties microorganism.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"machine-readable-clinical-breakpoints","dir":"Reference","previous_headings":"","what":"Machine-Readable Clinical Breakpoints","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"repository package contains machine-readable version guidelines. CSV file consisting 29 883 rows 13 columns. file machine-readable, since contains one row every unique combination test method (MIC disk diffusion), antimicrobial drug microorganism. allows easy implementation rules laboratory information systems (LIS). Note contains interpretation guidelines humans - interpretation guidelines CLSI animals removed.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"other","dir":"Reference","previous_headings":"","what":"Other","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"function .sir() detects input contains class sir. input data.frame, iterates columns returns logical vector. function is_sir_eligible() returns TRUE columns contains 5% invalid antimicrobial interpretations (S //R), FALSE otherwise. threshold 5% can set threshold argument. input data.frame, iterates columns returns logical vector.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"interpretation-of-sir","dir":"Reference","previous_headings":"","what":"Interpretation of SIR","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"2019, European Committee Antimicrobial Susceptibility Testing (EUCAST) decided change definitions susceptibility testing categories S, , R shown (https://www.eucast.org/newsiandr): S - Susceptible, standard dosing regimen microorganism categorised \"Susceptible, standard dosing regimen\", high likelihood therapeutic success using standard dosing regimen agent. - Susceptible, increased exposure  microorganism categorised \"Susceptible, Increased exposure\" high likelihood therapeutic success exposure agent increased adjusting dosing regimen concentration site infection. R = Resistant microorganism categorised \"Resistant\" high likelihood therapeutic failure even increased exposure. Exposure function mode administration, dose, dosing interval, infusion time, well distribution excretion antimicrobial agent influence infecting organism site infection. AMR package honours insight. Use susceptibility() (equal proportion_SI()) determine antimicrobial susceptibility count_susceptible() (equal count_SI()) count susceptible isolates.","code":""},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/as.sir.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Translate MIC and Disk Diffusion to SIR, or Clean Existing SIR Data — as.sir","text":"","code":"example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … summary(example_isolates) # see all SIR results at a glance #>       date              patient               age           gender          #>  Min.   :2002-01-02   Length:2000        Min.   : 0.00   Length:2000        #>  1st Qu.:2005-07-31   Class :character   1st Qu.:63.00   Class :character   #>  Median :2009-07-31   Mode  :character   Median :74.00   Mode  :character   #>  Mean   :2009-11-20                      Mean   :70.69                      #>  3rd Qu.:2014-05-30                      3rd Qu.:82.00                      #>  Max.   :2017-12-28                      Max.   :97.00                      #>      ward                mo                  PEN                 #>  Length:2000        Class :mo             Class:sir              #>  Class :character   <NA>  :0              %R   :73.7% (n=1201)   #>  Mode  :character   Unique:90             %SI  :26.3% (n=428)    #>                     #1    :B_ESCHR_COLI   - %S :25.6% (n=417)    #>                     #2    :B_STPHY_CONS   - %I : 0.7% (n=11)     #>                     #3    :B_STPHY_AURS                          #>     OXA                   FLC                   AMX                #>  Class:sir             Class:sir             Class:sir             #>  %R   :31.2% (n=114)   %R   :29.5% (n=278)   %R   :59.6% (n=804)   #>  %SI  :68.8% (n=251)   %SI  :70.5% (n=665)   %SI  :40.4% (n=546)   #>  - %S :68.8% (n=251)   - %S :70.5% (n=665)   - %S :40.2% (n=543)   #>  - %I : 0.0% (n=0)     - %I : 0.0% (n=0)     - %I : 0.2% (n=3)     #>                                                                    #>     AMC                    AMP                   TZP                #>  Class:sir              Class:sir             Class:sir             #>  %R   :23.7% (n=446)    %R   :59.6% (n=804)   %R   :12.6% (n=126)   #>  %SI  :76.3% (n=1433)   %SI  :40.4% (n=546)   %SI  :87.4% (n=875)   #>  - %S :71.4% (n=1342)   - %S :40.2% (n=543)   - %S :86.1% (n=862)   #>  - %I : 4.8% (n=91)     - %I : 0.2% (n=3)     - %I : 1.3% (n=13)    #>                                                                     #>     CZO                   FEP                   CXM                 #>  Class:sir             Class:sir             Class:sir              #>  %R   :44.6% (n=199)   %R   :14.2% (n=103)   %R   :26.3% (n=470)    #>  %SI  :55.4% (n=247)   %SI  :85.8% (n=621)   %SI  :73.7% (n=1319)   #>  - %S :54.9% (n=245)   - %S :85.6% (n=620)   - %S :72.5% (n=1297)   #>  - %I : 0.4% (n=2)     - %I : 0.1% (n=1)     - %I : 1.2% (n=22)     #>                                                                     #>     FOX                   CTX                   CAZ                 #>  Class:sir             Class:sir             Class:sir              #>  %R   :27.4% (n=224)   %R   :15.5% (n=146)   %R   :66.5% (n=1204)   #>  %SI  :72.6% (n=594)   %SI  :84.5% (n=797)   %SI  :33.5% (n=607)    #>  - %S :71.6% (n=586)   - %S :84.4% (n=796)   - %S :33.5% (n=607)    #>  - %I : 1.0% (n=8)     - %I : 0.1% (n=1)     - %I : 0.0% (n=0)      #>                                                                     #>     CRO                   GEN                    TOB                #>  Class:sir             Class:sir              Class:sir             #>  %R   :15.5% (n=146)   %R   :24.6% (n=456)    %R   :34.4% (n=465)   #>  %SI  :84.5% (n=797)   %SI  :75.4% (n=1399)   %SI  :65.6% (n=886)   #>  - %S :84.4% (n=796)   - %S :74.0% (n=1372)   - %S :65.1% (n=879)   #>  - %I : 0.1% (n=1)     - %I : 1.5% (n=27)     - %I : 0.5% (n=7)     #>                                                                     #>     AMK                   KAN                    TMP                #>  Class:sir             Class:sir              Class:sir             #>  %R   :63.7% (n=441)   %R   :100.0% (n=471)   %R   :38.1% (n=571)   #>  %SI  :36.3% (n=251)   %SI  : 0.0% (n=0)      %SI  :61.9% (n=928)   #>  - %S :36.3% (n=251)   - %S : 0.0% (n=0)      - %S :61.2% (n=918)   #>  - %I : 0.0% (n=0)     - %I : 0.0% (n=0)      - %I : 0.7% (n=10)    #>                                                                     #>     SXT                    NIT                   FOS                #>  Class:sir              Class:sir             Class:sir             #>  %R   :20.5% (n=361)    %R   :17.1% (n=127)   %R   :42.2% (n=148)   #>  %SI  :79.5% (n=1398)   %SI  :82.9% (n=616)   %SI  :57.8% (n=203)   #>  - %S :79.1% (n=1392)   - %S :76.0% (n=565)   - %S :57.8% (n=203)   #>  - %I : 0.3% (n=6)      - %I : 6.9% (n=51)    - %I : 0.0% (n=0)     #>                                                                     #>     LNZ                   CIP                    MFX                #>  Class:sir             Class:sir              Class:sir             #>  %R   :69.3% (n=709)   %R   :16.2% (n=228)    %R   :33.6% (n=71)    #>  %SI  :30.7% (n=314)   %SI  :83.8% (n=1181)   %SI  :66.4% (n=140)   #>  - %S :30.7% (n=314)   - %S :78.9% (n=1112)   - %S :64.5% (n=136)   #>  - %I : 0.0% (n=0)     - %I : 4.9% (n=69)     - %I : 1.9% (n=4)     #>                                                                     #>     VAN                    TEC                   TCY                #>  Class:sir              Class:sir             Class:sir             #>  %R   :38.3% (n=712)    %R   :75.7% (n=739)   %R   :29.8% (n=357)   #>  %SI  :61.7% (n=1149)   %SI  :24.3% (n=237)   %SI  :70.3% (n=843)   #>  - %S :61.7% (n=1149)   - %S :24.3% (n=237)   - %S :68.3% (n=820)   #>  - %I : 0.0% (n=0)      - %I : 0.0% (n=0)     - %I : 1.9% (n=23)    #>                                                                     #>     TGC                   DOX                   ERY                 #>  Class:sir             Class:sir             Class:sir              #>  %R   :12.7% (n=101)   %R   :27.7% (n=315)   %R   :57.2% (n=1084)   #>  %SI  :87.3% (n=697)   %SI  :72.3% (n=821)   %SI  :42.8% (n=810)    #>  - %S :87.3% (n=697)   - %S :71.7% (n=814)   - %S :42.3% (n=801)    #>  - %I : 0.0% (n=0)     - %I : 0.6% (n=7)     - %I : 0.5% (n=9)      #>                                                                     #>     CLI                   AZM                    IPM                #>  Class:sir             Class:sir              Class:sir             #>  %R   :61.2% (n=930)   %R   :57.2% (n=1084)   %R   : 6.2% (n=55)    #>  %SI  :38.8% (n=590)   %SI  :42.8% (n=810)    %SI  :93.8% (n=834)   #>  - %S :38.6% (n=586)   - %S :42.3% (n=801)    - %S :92.7% (n=824)   #>  - %I : 0.3% (n=4)     - %I : 0.5% (n=9)      - %I : 1.1% (n=10)    #>                                                                     #>     MEM                   MTR                  CHL                #>  Class:sir             Class:sir            Class:sir             #>  %R   : 5.9% (n=49)    %R   :14.7% (n=5)    %R   :21.4% (n=33)    #>  %SI  :94.1% (n=780)   %SI  :85.3% (n=29)   %SI  :78.6% (n=121)   #>  - %S :94.1% (n=780)   - %S :85.3% (n=29)   - %S :78.6% (n=121)   #>  - %I : 0.0% (n=0)     - %I : 0.0% (n=0)    - %I : 0.0% (n=0)     #>                                                                   #>     COL                    MUP                   RIF                #>  Class:sir              Class:sir             Class:sir             #>  %R   :81.2% (n=1331)   %R   : 5.9% (n=16)    %R   :69.6% (n=698)   #>  %SI  :18.8% (n=309)    %SI  :94.1% (n=254)   %SI  :30.4% (n=305)   #>  - %S :18.8% (n=309)    - %S :93.0% (n=251)   - %S :30.2% (n=303)   #>  - %I : 0.0% (n=0)      - %I : 1.1% (n=3)     - %I : 0.2% (n=2)     #>                                                                      # For INTERPRETING disk diffusion and MIC values -----------------------  # a whole data set, even with combined MIC values and disk zones df <- data.frame(   microorganism = \"Escherichia coli\",   AMP = as.mic(8),   CIP = as.mic(0.256),   GEN = as.disk(18),   TOB = as.disk(16),   ERY = \"R\" ) as.sir(df) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: column 'AMP' (ampicillin), EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: column 'CIP' (ciprofloxacin), EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> Interpreting disk diffusion zones: column 'GEN' (gentamicin), EUCAST #> 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for gentamicin (GEN) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting disk diffusion zones: column 'TOB' (tobramycin), EUCAST #> 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for tobramycin (TOB) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Assigning class 'sir' to already clean column 'ERY' (erythromycin)... #>  OK  #>      microorganism AMP CIP GEN TOB ERY #> 1 Escherichia coli   S   I   S   S   R  # return a 'logbook' about the results: sir_interpretation_history() #> # A tibble: 13 × 14 #>    datetime            index ab_user    mo_user    ab   mo                input #>    <dttm>              <int> <chr>      <chr>      <ab> <mo>              <dbl> #>  1 2024-03-03 22:03:54     1 TOB        Escherich… TOB  B_[ORD]_ENTRBCTR 16     #>  2 2024-03-03 22:03:54     1 GEN        Escherich… GEN  B_[ORD]_ENTRBCTR 18     #>  3 2024-03-03 22:03:54     1 CIP        Escherich… CIP  B_[ORD]_ENTRBCTR  0.256 #>  4 2024-03-03 22:03:54     1 AMP        Escherich… AMP  B_[ORD]_ENTRBCTR  8     #>  5 2024-03-03 22:03:49     1 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      0.01  #>  6 2024-03-03 22:03:49     2 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      2     #>  7 2024-03-03 22:03:49     3 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      4     #>  8 2024-03-03 22:03:49     4 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      8     #>  9 2024-03-03 22:03:49     1 AMX        B_STRPT_P… AMX  B_STRPT_PNMN      2     #> 10 2024-03-03 22:03:49     1 TOB        Escherich… TOB  B_[ORD]_ENTRBCTR 16     #> 11 2024-03-03 22:03:49     1 GEN        Escherich… GEN  B_[ORD]_ENTRBCTR 18     #> 12 2024-03-03 22:03:49     1 AMP        Escherich… AMP  B_[ORD]_ENTRBCTR 20     #> 13 2024-03-03 22:03:48     1 ampicillin Strep pneu AMP  B_STRPT_PNMN     18     #> # ℹ 7 more variables: outcome <sir>, method <chr>, breakpoint_S_R <chr>, #> #   guideline <chr>, host <chr>, ref_table <chr>, uti <lgl>  # for single values as.sir(   x = as.mic(2),   mo = as.mo(\"S. pneumoniae\"),   ab = \"AMP\",   guideline = \"EUCAST\" ) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin), EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ampicillin (AMP) in Streptococcus #>      pneumoniae - assuming body site 'Non-meningitis'. #> Class 'sir' #> [1] R  as.sir(   x = as.disk(18),   mo = \"Strep pneu\", # `mo` will be coerced with as.mo()   ab = \"ampicillin\", # and `ab` with as.ab()   guideline = \"EUCAST\" ) #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting disk diffusion zones: 'ampicillin' (AMP), EUCAST 2023... #>  OK  #> Class 'sir' #> [1] R  # \\donttest{ # the dplyr way if (require(\"dplyr\")) {   df %>% mutate_if(is.mic, as.sir)   df %>% mutate_if(function(x) is.mic(x) | is.disk(x), as.sir)   df %>% mutate(across(where(is.mic), as.sir))   df %>% mutate_at(vars(AMP:TOB), as.sir)   df %>% mutate(across(AMP:TOB, as.sir))    df %>%     mutate_at(vars(AMP:TOB), as.sir, mo = .$microorganism)    # to include information about urinary tract infections (UTI)   data.frame(     mo = \"E. coli\",     NIT = c(\"<= 2\", 32),     from_the_bladder = c(TRUE, FALSE)   ) %>%     as.sir(uti = \"from_the_bladder\")    data.frame(     mo = \"E. coli\",     NIT = c(\"<= 2\", 32),     specimen = c(\"urine\", \"blood\")   ) %>%     as.sir() # automatically determines urine isolates    df %>%     mutate_at(vars(AMP:TOB), as.sir, mo = \"E. coli\", uti = TRUE) } #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> Interpreting disk diffusion zones: 'GEN' (gentamicin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for gentamicin (GEN) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting disk diffusion zones: 'TOB' (tobramycin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for tobramycin (TOB) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> Interpreting disk diffusion zones: 'GEN' (gentamicin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for gentamicin (GEN) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting disk diffusion zones: 'TOB' (tobramycin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for tobramycin (TOB) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> Interpreting disk diffusion zones: 'GEN' (gentamicin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for gentamicin (GEN) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting disk diffusion zones: 'TOB' (tobramycin) based on column #> 'microorganism', EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for tobramycin (TOB) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin), EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for ampicillin (AMP) in #>      Escherichia coli - assuming body site 'Intravenous'. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting MIC values: 'CIP' (ciprofloxacin), EUCAST 2023... #>  NOTE  #>   • Multiple breakpoints available for ciprofloxacin (CIP) in Escherichia coli #>      - assuming body site 'Non-meningitis'. #> Interpreting disk diffusion zones: 'GEN' (gentamicin), EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for gentamicin (GEN) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> Interpreting disk diffusion zones: 'TOB' (tobramycin), EUCAST 2023... #>  NOTE  #>   • Breakpoints for UTI and non-UTI available for tobramycin (TOB) in #>      Escherichia coli - assuming an unspecified body site. Use argument uti to #>      set which isolates are from urine. See ?as.sir. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: column 'NIT' (nitrofurantoin), EUCAST 2023... #>  OK  #> ℹ Assuming value \"urine\" in column 'specimen' reflects a urinary tract #>   infection. #>   Use as.sir(uti = FALSE) to prevent this. #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: column 'NIT' (nitrofurantoin), EUCAST 2023... #>  OK  #> ℹ Run sir_interpretation_history() afterwards to retrieve a logbook with #>   all the details of the breakpoint interpretations. Note that some #>   microorganisms might not have breakpoints for each antimicrobial drug in #>   EUCAST 2023. #> Interpreting MIC values: 'AMP' (ampicillin), EUCAST 2023... #>  OK  #> Interpreting MIC values: 'CIP' (ciprofloxacin), EUCAST 2023... #>  OK  #> Interpreting disk diffusion zones: 'GEN' (gentamicin), EUCAST 2023... #>  OK  #> Interpreting disk diffusion zones: 'TOB' (tobramycin), EUCAST 2023... #>  OK  #>      microorganism AMP  CIP GEN TOB ERY #> 1 Escherichia coli   S <NA>   S   S   R  # For CLEANING existing SIR values ------------------------------------  as.sir(c(\"S\", \"I\", \"R\", \"A\", \"B\", \"C\")) #> Warning: in as.sir(): 3 results in column '24' truncated (50%) that were invalid #> antimicrobial interpretations: \"A\", \"B\", and \"C\" #> Class 'sir' #> [1] S    I    R    <NA> <NA> <NA> as.sir(\"<= 0.002; S\") # will return \"S\" #> Class 'sir' #> [1] S sir_data <- as.sir(c(rep(\"S\", 474), rep(\"I\", 36), rep(\"R\", 370))) is.sir(sir_data) #> [1] TRUE plot(sir_data) # for percentages  barplot(sir_data) # for frequencies   # the dplyr way if (require(\"dplyr\")) {   example_isolates %>%     mutate_at(vars(PEN:RIF), as.sir)   # same:   example_isolates %>%     as.sir(PEN:RIF)    # fastest way to transform all columns with already valid AMR results to class `sir`:   example_isolates %>%     mutate_if(is_sir_eligible, as.sir)    # since dplyr 1.0.0, this can also be:   # example_isolates %>%   #   mutate(across(where(is_sir_eligible), as.sir)) } #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … # }"},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":null,"dir":"Reference","previous_headings":"","what":"Get ATC Properties from WHOCC Website — atc_online_property","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"Gets data WHOCC website determine properties Anatomical Therapeutic Chemical (ATC) (e.g. antibiotic), name, defined daily dose (DDD) standard unit.","code":""},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"","code":"atc_online_property(   atc_code,   property,   administration = \"O\",   url = \"https://www.whocc.no/atc_ddd_index/?code=%s&showdescription=no\",   url_vet = \"https://www.whocc.no/atcvet/atcvet_index/?code=%s&showdescription=no\" )  atc_online_groups(atc_code, ...)  atc_online_ddd(atc_code, ...)  atc_online_ddd_units(atc_code, ...)"},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"https://www.whocc./atc_ddd_alterations__cumulative/ddd_alterations/abbrevations/","code":""},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"atc_code character (vector) ATC code(s) antibiotics, coerced .ab() ab_atc() internally valid ATC code property property ATC code. Valid values \"ATC\", \"Name\", \"DDD\", \"U\" (\"unit\"), \"Adm.R\", \"Note\" groups. last option, hierarchical groups ATC code returned, see Examples. administration type administration using property = \"Adm.R\", see Details url url website WHOCC. sign %s can used placeholder ATC codes. url_vet url website WHOCC veterinary medicine. sign %s can used placeholder ATC_vet codes (start \"Q\"). ... arguments pass atc_property","code":""},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"Options argument administration: \"Implant\" = Implant \"Inhal\" = Inhalation \"Instill\" = Instillation \"N\" = nasal \"O\" = oral \"P\" = parenteral \"R\" = rectal \"SL\" = sublingual/buccal \"TD\" = transdermal \"V\" = vaginal Abbreviations return values using property = \"U\" (unit): \"g\" = gram \"mg\" = milligram \"mcg\" = microgram \"U\" = unit \"TU\" = thousand units \"MU\" = million units \"mmol\" = millimole \"ml\" = millilitre (e.g. eyedrops) N.B. function requires internet connection works following packages installed: curl, rvest, xml2.","code":""},{"path":"https://msberends.github.io/AMR/reference/atc_online.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get ATC Properties from WHOCC Website — atc_online_property","text":"","code":"# \\donttest{ if (requireNamespace(\"curl\") && requireNamespace(\"rvest\") && requireNamespace(\"xml2\")) {   # oral DDD (Defined Daily Dose) of amoxicillin   atc_online_property(\"J01CA04\", \"DDD\", \"O\")   atc_online_ddd(ab_atc(\"amox\"))    # parenteral DDD (Defined Daily Dose) of amoxicillin   atc_online_property(\"J01CA04\", \"DDD\", \"P\")    atc_online_property(\"J01CA04\", property = \"groups\") # search hierarchical groups of amoxicillin } #> Loading required namespace: rvest #> [1] \"ANTIINFECTIVES FOR SYSTEMIC USE\"         #> [2] \"ANTIBACTERIALS FOR SYSTEMIC USE\"         #> [3] \"BETA-LACTAM ANTIBACTERIALS, PENICILLINS\" #> [4] \"Penicillins with extended spectrum\"      # }"},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"Use function e.g. clinical texts health care records. returns list antiviral drugs, doses forms administration found texts.","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"","code":"av_from_text(   text,   type = c(\"drug\", \"dose\", \"administration\"),   collapse = NULL,   translate_av = FALSE,   thorough_search = NULL,   info = interactive(),   ... )"},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"text text analyse type type property search , either \"drug\", \"dose\" \"administration\", see Examples collapse character pass paste(, collapse = ...) return one character per element text, see Examples translate_av type = \"drug\": column name antivirals data set translate antibiotic abbreviations , using av_property(). default FALSE. Using TRUE equal using \"name\". thorough_search logical indicate whether input must extensively searched misspelling faulty input values. Setting TRUE take considerably time using FALSE. default, turn TRUE input elements contain maximum three words. info logical indicate whether progress bar printed - default TRUE interactive mode ... arguments passed .av()","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"list,  character collapse NULL","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"function also internally used .av(), although searches first drug name throw note drug names returned. Note: .av() function may use long regular expression match brand names antiviral drugs. may fail systems.","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"argument-type","dir":"Reference","previous_headings":"","what":"Argument type","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"default, function search antiviral drug names. text elements searched official names, ATC codes brand names. uses .av() internally, correct misspelling. type = \"dose\" (similar, like \"dosing\", \"doses\"), text elements searched numeric values higher 100 resemble years. output numeric. supports unit (g, mg, IE, etc.) multiple values one clinical text, see Examples. type = \"administration\" (abbreviations, like \"admin\", \"adm\"), text elements searched form drug administration. supports following forms (including common abbreviations): buccal, implant, inhalation, instillation, intravenous, nasal, oral, parenteral, rectal, sublingual, transdermal vaginal. Abbreviations oral ('po', 'per os') become \"oral\", values intravenous ('iv', 'intraven') become \"iv\". supports multiple values one clinical text, see Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"argument-collapse","dir":"Reference","previous_headings":"","what":"Argument collapse","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"Without using collapse, function return list. can convenient use e.g. inside mutate()):df %>% mutate(avx = av_from_text(clinical_text)) returned AV codes can transformed official names, groups, etc. av_* functions av_name() av_group(), using translate_av argument. using collapse, function return character:df %>% mutate(avx = av_from_text(clinical_text, collapse = \"|\"))","code":""},{"path":"https://msberends.github.io/AMR/reference/av_from_text.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Retrieve Antiviral Drug Names and Doses from Clinical Text — av_from_text","text":"","code":"av_from_text(\"28/03/2020 valaciclovir po tid\") #> [[1]] #> Class 'av' #> [1] VALA #>  av_from_text(\"28/03/2020 valaciclovir po tid\", type = \"admin\") #> [[1]] #> [1] \"oral\" #>"},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Properties of an Antiviral Drug — av_property","title":"Get Properties of an Antiviral Drug — av_property","text":"Use functions return specific property antiviral drug antivirals data set. input values evaluated internally .av().","code":""},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Properties of an Antiviral Drug — av_property","text":"","code":"av_name(x, language = get_AMR_locale(), tolower = FALSE, ...)  av_cid(x, ...)  av_synonyms(x, ...)  av_tradenames(x, ...)  av_group(x, language = get_AMR_locale(), ...)  av_atc(x, ...)  av_loinc(x, ...)  av_ddd(x, administration = \"oral\", ...)  av_ddd_units(x, administration = \"oral\", ...)  av_info(x, language = get_AMR_locale(), ...)  av_url(x, open = FALSE, ...)  av_property(x, property = \"name\", language = get_AMR_locale(), ...)"},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Properties of an Antiviral Drug — av_property","text":"x (vector ) text can coerced valid antiviral drug code .av() language language returned text - default system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. tolower logical indicate whether first character every output transformed lower case character. ... arguments passed .av() administration way administration, either \"oral\" \"iv\" open browse URL using utils::browseURL() property one column names one antivirals data set: vector_or(colnames(antivirals), sort = FALSE).","code":""},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Properties of an Antiviral Drug — av_property","text":"integer case av_cid() named list case av_info() multiple av_atc()/av_synonyms()/av_tradenames() double case av_ddd() character cases","code":""},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get Properties of an Antiviral Drug — av_property","text":"output translated possible. function av_url() return direct URL official website. warning returned required ATC code available.","code":""},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Get Properties of an Antiviral Drug — av_property","text":"World Health Organization () Collaborating Centre Drug Statistics Methodology: https://www.whocc./atc_ddd_index/ European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm","code":""},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Get Properties of an Antiviral Drug — av_property","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/av_property.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get Properties of an Antiviral Drug — av_property","text":"","code":"# all properties: av_name(\"ACI\") #> [1] \"Aciclovir\" av_atc(\"ACI\") #> [1] \"J05AB01\" av_cid(\"ACI\") #> [1] 135398513 av_synonyms(\"ACI\") #>  [1] \"acicloftal\"        \"aciclovier\"        \"aciclovirum\"       #>  [4] \"activir\"           \"acyclofoam\"        \"acycloguanosine\"   #>  [7] \"acyclovir\"         \"acyclovir lauriad\" \"avaclyr\"           #> [10] \"cargosil\"          \"cyclovir\"          \"genvir\"            #> [13] \"gerpevir\"          \"hascovir\"          \"maynar\"            #> [16] \"novirus\"           \"poviral\"           \"sitavig\"           #> [19] \"sitavir\"           \"vipral\"            \"viropump\"          #> [22] \"virorax\"           \"zovirax\"           \"zyclir\"            av_tradenames(\"ACI\") #>  [1] \"acicloftal\"        \"aciclovier\"        \"aciclovirum\"       #>  [4] \"activir\"           \"acyclofoam\"        \"acycloguanosine\"   #>  [7] \"acyclovir\"         \"acyclovir lauriad\" \"avaclyr\"           #> [10] \"cargosil\"          \"cyclovir\"          \"genvir\"            #> [13] \"gerpevir\"          \"hascovir\"          \"maynar\"            #> [16] \"novirus\"           \"poviral\"           \"sitavig\"           #> [19] \"sitavir\"           \"vipral\"            \"viropump\"          #> [22] \"virorax\"           \"zovirax\"           \"zyclir\"            av_group(\"ACI\") #> [1] \"Nucleosides and nucleotides excl. reverse transcriptase inhibitors\" av_url(\"ACI\") #>                                                             Aciclovir  #> \"https://www.whocc.no/atc_ddd_index/?code=J05AB01&showdescription=no\"   # lowercase transformation av_name(x = c(\"ACI\", \"VALA\")) #> [1] \"Aciclovir\"    \"Valaciclovir\" av_name(x = c(\"ACI\", \"VALA\"), tolower = TRUE) #> [1] \"aciclovir\"    \"valaciclovir\"  # defined daily doses (DDD) av_ddd(\"ACI\", \"oral\") #> [1] 4 av_ddd_units(\"ACI\", \"oral\") #> [1] \"g\" av_ddd(\"ACI\", \"iv\") #> [1] 4 av_ddd_units(\"ACI\", \"iv\") #> [1] \"g\"  av_info(\"ACI\") # all properties as a list #> $av #> [1] \"ACI\" #>  #> $cid #> [1] 135398513 #>  #> $name #> [1] \"Aciclovir\" #>  #> $group #> [1] \"Nucleosides and nucleotides excl. reverse transcriptase inhibitors\" #>  #> $atc #> [1] \"J05AB01\" #>  #> $tradenames #>  [1] \"acicloftal\"        \"aciclovier\"        \"aciclovirum\"       #>  [4] \"activir\"           \"acyclofoam\"        \"acycloguanosine\"   #>  [7] \"acyclovir\"         \"acyclovir lauriad\" \"avaclyr\"           #> [10] \"cargosil\"          \"cyclovir\"          \"genvir\"            #> [13] \"gerpevir\"          \"hascovir\"          \"maynar\"            #> [16] \"novirus\"           \"poviral\"           \"sitavig\"           #> [19] \"sitavir\"           \"vipral\"            \"viropump\"          #> [22] \"virorax\"           \"zovirax\"           \"zyclir\"            #>  #> $loinc #> [1] \"\" #>  #> $ddd #> $ddd$oral #> $ddd$oral$amount #> [1] 4 #>  #> $ddd$oral$units #> [1] \"g\" #>  #>  #> $ddd$iv #> $ddd$iv$amount #> [1] 4 #>  #> $ddd$iv$units #> [1] \"g\" #>  #>  #>   # all av_* functions use as.av() internally, so you can go from 'any' to 'any': av_atc(\"ACI\") #> [1] \"J05AB01\" av_group(\"J05AB01\") #> [1] \"Nucleosides and nucleotides excl. reverse transcriptase inhibitors\" av_loinc(\"abacavir\") #> [1] \"29113-8\" \"30273-7\" \"30287-7\" \"30303-2\" \"78772-1\" \"78773-9\" \"79134-3\" #> [8] \"80118-3\" av_name(\"29113-8\") #> [1] \"Abacavir\" av_name(135398513) #> [1] \"Aciclovir\" av_name(\"J05AB01\") #> [1] \"Aciclovir\""},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":null,"dir":"Reference","previous_headings":"","what":"Check Availability of Columns — availability","title":"Check Availability of Columns — availability","text":"Easy check data availability columns data set. makes easy get idea antimicrobial combinations can used calculation e.g. susceptibility() resistance().","code":""},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check Availability of Columns — availability","text":"","code":"availability(tbl, width = NULL)"},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check Availability of Columns — availability","text":"tbl data.frame list width number characters present visual availability - default filling width console","code":""},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check Availability of Columns — availability","text":"data.frame column names tbl row names","code":""},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Check Availability of Columns — availability","text":"function returns data.frame columns \"resistant\" \"visual_resistance\". values columns calculated resistance().","code":""},{"path":"https://msberends.github.io/AMR/reference/availability.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check Availability of Columns — availability","text":"","code":"availability(example_isolates) #>         count available     visual_availabilty resistant      visual_resistance #> date     2000    100.0% |####################|                                  #> patient  2000    100.0% |####################|                                  #> age      2000    100.0% |####################|                                  #> gender   2000    100.0% |####################|                                  #> ward     2000    100.0% |####################|                                  #> mo       2000    100.0% |####################|                                  #> PEN      1629     81.5% |################----|     73.7% |##############------| #> OXA       365     18.3% |###-----------------|     31.2% |######--------------| #> FLC       943     47.2% |#########-----------|     29.5% |#####---------------| #> AMX      1350     67.5% |#############-------|     59.6% |###########---------| #> AMC      1879     94.0% |##################--|     23.7% |####----------------| #> AMP      1350     67.5% |#############-------|     59.6% |###########---------| #> TZP      1001     50.0% |##########----------|     12.6% |##------------------| #> CZO       446     22.3% |####----------------|     44.6% |########------------| #> FEP       724     36.2% |#######-------------|     14.2% |##------------------| #> CXM      1789     89.5% |#################---|     26.3% |#####---------------| #> FOX       818     40.9% |########------------|     27.4% |#####---------------| #> CTX       943     47.2% |#########-----------|     15.5% |###-----------------| #> CAZ      1811     90.6% |##################--|     66.5% |#############-------| #> CRO       943     47.2% |#########-----------|     15.5% |###-----------------| #> GEN      1855     92.8% |##################--|     24.6% |####----------------| #> TOB      1351     67.6% |#############-------|     34.4% |######--------------| #> AMK       692     34.6% |######--------------|     63.7% |############--------| #> KAN       471     23.6% |####----------------|    100.0% |####################| #> TMP      1499     75.0% |###############-----|     38.1% |#######-------------| #> SXT      1759     88.0% |#################---|     20.5% |####----------------| #> NIT       743     37.2% |#######-------------|     17.1% |###-----------------| #> FOS       351     17.6% |###-----------------|     42.2% |########------------| #> LNZ      1023     51.2% |##########----------|     69.3% |#############-------| #> CIP      1409     70.5% |#############-------|     16.2% |###-----------------| #> MFX       211     10.6% |##------------------|     33.6% |######--------------| #> VAN      1861     93.1% |##################--|     38.3% |#######-------------| #> TEC       976     48.8% |#########-----------|     75.7% |###############-----| #> TCY      1200     60.0% |###########---------|     29.8% |#####---------------| #> TGC       798     39.9% |########------------|     12.7% |##------------------| #> DOX      1136     56.8% |###########---------|     27.7% |#####---------------| #> ERY      1894     94.7% |##################--|     57.2% |###########---------| #> CLI      1520     76.0% |###############-----|     61.2% |############--------| #> AZM      1894     94.7% |##################--|     57.2% |###########---------| #> IPM       889     44.5% |########------------|      6.2% |#-------------------| #> MEM       829     41.5% |########------------|      5.9% |#-------------------| #> MTR        34      1.7% |--------------------|     14.7% |##------------------| #> CHL       154      7.7% |#-------------------|     21.4% |####----------------| #> COL      1640     82.0% |################----|     81.2% |################----| #> MUP       270     13.5% |##------------------|      5.9% |#-------------------| #> RIF      1003     50.2% |##########----------|     69.6% |#############-------| # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     filter(mo == as.mo(\"Escherichia coli\")) %>%     select_if(is.sir) %>%     availability() } #>     count available       visual_availabilty resistant        visual_resistance #> PEN   467    100.0% |######################|    100.0% |######################| #> OXA     0      0.0% |----------------------|                                    #> FLC     0      0.0% |----------------------|                                    #> AMX   392     83.9% |##################----|     50.0% |###########-----------| #> AMC   467    100.0% |######################|     13.1% |##--------------------| #> AMP   392     83.9% |##################----|     50.0% |###########-----------| #> TZP   416     89.1% |###################---|      5.5% |#---------------------| #> CZO    82     17.6% |###-------------------|      2.4% |----------------------| #> FEP   317     67.9% |##############--------|      2.8% |----------------------| #> CXM   465     99.6% |######################|      5.4% |#---------------------| #> FOX   377     80.7% |#################-----|      6.9% |#---------------------| #> CTX   459     98.3% |#####################-|      2.4% |----------------------| #> CAZ   460     98.5% |#####################-|      2.4% |----------------------| #> CRO   459     98.3% |#####################-|      2.4% |----------------------| #> GEN   460     98.5% |#####################-|      2.0% |----------------------| #> TOB   462     98.9% |#####################-|      2.6% |----------------------| #> AMK   171     36.6% |########--------------|      0.0% |----------------------| #> KAN     0      0.0% |----------------------|                                    #> TMP   396     84.8% |##################----|     39.1% |########--------------| #> SXT   465     99.6% |######################|     31.6% |######----------------| #> NIT   458     98.1% |#####################-|      2.8% |----------------------| #> FOS    61     13.1% |##--------------------|      0.0% |----------------------| #> LNZ   467    100.0% |######################|    100.0% |######################| #> CIP   456     97.6% |#####################-|     12.5% |##--------------------| #> MFX    57     12.2% |##--------------------|    100.0% |######################| #> VAN   467    100.0% |######################|    100.0% |######################| #> TEC   467    100.0% |######################|    100.0% |######################| #> TCY     3      0.6% |----------------------|     66.7% |##############--------| #> TGC    68     14.6% |###-------------------|      0.0% |----------------------| #> DOX     0      0.0% |----------------------|                                    #> ERY   467    100.0% |######################|    100.0% |######################| #> CLI   467    100.0% |######################|    100.0% |######################| #> AZM   467    100.0% |######################|    100.0% |######################| #> IPM   422     90.4% |###################---|      0.0% |----------------------| #> MEM   418     89.5% |###################---|      0.0% |----------------------| #> MTR     2      0.4% |----------------------|      0.0% |----------------------| #> CHL     0      0.0% |----------------------|                                    #> COL   240     51.4% |###########-----------|      0.0% |----------------------| #> MUP     0      0.0% |----------------------|                                    #> RIF   467    100.0% |######################|    100.0% |######################| # }"},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine Bug-Drug Combinations — bug_drug_combinations","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"Determine antimicrobial resistance (AMR) bug-drug combinations data set least 30 (default) isolates available per species. Use format() result prettify publishable/printable format, see Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"","code":"bug_drug_combinations(x, col_mo = NULL, FUN = mo_shortname, ...)  # S3 method for bug_drug_combinations format(   x,   translate_ab = \"name (ab, atc)\",   language = get_AMR_locale(),   minimum = 30,   combine_SI = TRUE,   add_ab_group = TRUE,   remove_intrinsic_resistant = FALSE,   decimal.mark = getOption(\"OutDec\"),   big.mark = ifelse(decimal.mark == \",\", \".\", \",\"),   ... )"},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"x data set antibiotic columns, amox, AMX AMC col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). FUN function call mo column transform microorganism codes - default mo_shortname() ... arguments passed FUN translate_ab character length 1 containing column names antibiotics data set language language returned text - default current system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. minimum minimum allowed number available (tested) isolates. isolate count lower minimum return NA warning. default number 30 isolates advised Clinical Laboratory Standards Institute (CLSI) best practice, see Source. combine_SI logical indicate whether values S summed, resistance based R - default TRUE add_ab_group logical indicate group antimicrobials must included first column remove_intrinsic_resistant logical indicate rows columns 100% resistance tested antimicrobials must removed table decimal.mark character used indicate numeric     decimal point. big.mark character; empty used mark every     big.interval decimals (hence big)     decimal point.","code":""},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"function bug_drug_combinations() returns data.frame columns \"mo\", \"ab\", \"S\", \"\", \"R\" \"total\".","code":""},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"function format() calculates resistance per bug-drug combination returns table ready reporting/publishing. Use combine_SI = TRUE (default) test R vs. S+combine_SI = FALSE test R+vs. S. table can also directly used R Markdown / Quarto without need e.g. knitr::kable().","code":""},{"path":"https://msberends.github.io/AMR/reference/bug_drug_combinations.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Determine Bug-Drug Combinations — bug_drug_combinations","text":"","code":"# example_isolates is a data set available in the AMR package. # run ?example_isolates for more info. example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  # \\donttest{ x <- bug_drug_combinations(example_isolates) head(x) #> # A tibble: 6 × 6 #>   mo                ab        S     I     R total #>   <chr>             <chr> <int> <int> <int> <int> #> 1 (unknown species) AMC      15     0     0    15 #> 2 (unknown species) AMK       0     0     0     0 #> 3 (unknown species) AMP      15     0     1    16 #> 4 (unknown species) AMX      15     0     1    16 #> 5 (unknown species) AZM       3     0     3     6 #> 6 (unknown species) CAZ       0     0     0     0 #> Use 'format()' on this result to get a publishable/printable format. format(x, translate_ab = \"name (atc)\") #> # A tibble: 39 × 12 #>    Group     Drug  CoNS  `E. coli` `E. faecalis` `K. pneumoniae` `P. aeruginosa` #>    <chr>     <chr> <chr> <chr>     <chr>         <chr>           <chr>           #>  1 \"Aminogl… Amik… \"100… \"  0.0% … \"100.0% (39/… \"\"              \"\"              #>  2 \"\"        Gent… \" 13… \"  2.0% … \"100.0% (39/… \" 10.3% (6/58)\" \"  0.0% (0/30)\" #>  3 \"\"        Kana… \"100… \"\"        \"100.0% (39/… \"\"              \"100.0% (30/30… #>  4 \"\"        Tobr… \" 78… \"  2.6% … \"100.0% (39/… \" 10.3% (6/58)\" \"  0.0% (0/30)\" #>  5 \"Ampheni… Chlo… \"\"    \"\"        \"\"            \"\"              \"100.0% (30/30… #>  6 \"Antimyc… Rifa… \"\"    \"100.0% … \"\"            \"100.0% (58/58… \"100.0% (30/30… #>  7 \"Beta-la… Amox… \" 93… \" 50.0% … \"\"            \"100.0% (58/58… \"100.0% (30/30… #>  8 \"\"        Amox… \" 42… \" 13.1% … \"\"            \" 10.3% (6/58)\" \"100.0% (30/30… #>  9 \"\"        Ampi… \" 93… \" 50.0% … \"\"            \"100.0% (58/58… \"100.0% (30/30… #> 10 \"\"        Benz… \" 77… \"100.0% … \"\"            \"100.0% (58/58… \"100.0% (30/30… #> # ℹ 29 more rows #> # ℹ 5 more variables: `P. mirabilis` <chr>, `S. aureus` <chr>, #> #   `S. epidermidis` <chr>, `S. hominis` <chr>, `S. pneumoniae` <chr>  # Use FUN to change to transformation of microorganism codes bug_drug_combinations(example_isolates,   FUN = mo_gramstain ) #> # A tibble: 80 × 6 #>    mo            ab        S     I     R total #>  * <chr>         <chr> <int> <int> <int> <int> #>  1 Gram-negative AMC     463    89   174   726 #>  2 Gram-negative AMK     251     0     5   256 #>  3 Gram-negative AMP     226     0   405   631 #>  4 Gram-negative AMX     226     0   405   631 #>  5 Gram-negative AZM       1     2   696   699 #>  6 Gram-negative CAZ     607     0    27   634 #>  7 Gram-negative CHL       1     0    30    31 #>  8 Gram-negative CIP     610    11    63   684 #>  9 Gram-negative CLI      18     1   709   728 #> 10 Gram-negative COL     309     0    78   387 #> # ℹ 70 more rows #> Use 'format()' on this result to get a publishable/printable format.  bug_drug_combinations(example_isolates,   FUN = function(x) {     ifelse(x == as.mo(\"Escherichia coli\"),       \"E. coli\",       \"Others\"     )   } ) #> # A tibble: 80 × 6 #>    mo      ab        S     I     R total #>  * <chr>   <chr> <int> <int> <int> <int> #>  1 E. coli AMC     332    74    61   467 #>  2 E. coli AMK     171     0     0   171 #>  3 E. coli AMP     196     0   196   392 #>  4 E. coli AMX     196     0   196   392 #>  5 E. coli AZM       0     0   467   467 #>  6 E. coli CAZ     449     0    11   460 #>  7 E. coli CHL       0     0     0     0 #>  8 E. coli CIP     398     1    57   456 #>  9 E. coli CLI       0     0   467   467 #> 10 E. coli COL     240     0     0   240 #> # ℹ 70 more rows #> Use 'format()' on this result to get a publishable/printable format. # }"},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"Data set containing clinical breakpoints interpret MIC disk diffusion SIR values, according international guidelines. dataset contain breakpoints humans, 7 different animal groups, ECOFFs. Currently available breakpoint guidelines clinical microbiology EUCAST 2011-2023 CLSI 2011-2023. Currently available breakpoint guidelines veterinary microbiology EUCAST 2021-2023 CLSI 2019-2023. Use .sir() transform MICs disks measurements SIR values.","code":""},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"","code":"clinical_breakpoints"},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"tibble 29 883 observations 13 variables: guideline Name guideline type Breakpoint type, either \"ECOFF\", \"animal\", \"human\" host Host infectious agent. mostly useful veterinary breakpoints either \"ECOFF\", \"aquatic\", \"cats\", \"cattle\", \"dogs\", \"horse\", \"human\", \"poultry\", \"swine\" method Testing method, either \"DISK\" \"MIC\" site Body site breakpoint must applied, e.g. \"Oral\" \"Respiratory\" mo Microbial ID, see .mo() rank_index Taxonomic rank index mo 1 (subspecies/infraspecies) 5 (unknown microorganism) ab Antibiotic code used package, EARS-Net WHONET, see .ab() ref_tbl Info guideline rule can found disk_dose Dose used disk diffusion method breakpoint_S Lowest MIC value highest number millimetres leads \"S\" breakpoint_R Highest MIC value lowest number millimetres leads \"R\" uti logical value (TRUE/FALSE) indicate whether rule applies urinary tract infection (UTI)","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"different-types-of-breakpoints","dir":"Reference","previous_headings":"","what":"Different types of breakpoints","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"Supported types breakpoints ECOFF, animal, human. ECOFF (Epidemiological cut-) values used antimicrobial susceptibility testing differentiate wild-type non-wild-type strains bacteria fungi. default \"human\", can also set package option AMR_breakpoint_type. Use .sir(..., breakpoint_type = ...) interpret raw data using specific breakpoint type, e.g. .sir(..., breakpoint_type = \"ECOFF\") use ECOFFs.","code":""},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"imported-from-whonet","dir":"Reference","previous_headings":"","what":"Imported from WHONET","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"Clinical breakpoints package validated imported WHONET, free desktop Windows application developed supported Collaborating Centre Surveillance Antimicrobial Resistance. can read website. developers WHONET AMR package contact sharing work. highly appreciate development WHONET software.","code":""},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"response-from-clsi-and-eucast","dir":"Reference","previous_headings":"","what":"Response from CLSI and EUCAST","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"CEO CLSI chairman EUCAST endorsed work public use AMR package (consequently use breakpoints) June 2023, future development distributing clinical breakpoints discussed meeting CLSI, EUCAST, , developers WHONET AMR package.","code":""},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"download","dir":"Reference","previous_headings":"","what":"Download","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository. allow machine reading EUCAST CLSI guidelines, almost impossible MS Excel PDF files distributed EUCAST CLSI, though initiatives started overcome burdens. NOTE: AMR package (WHONET software well) contains internal methods apply guidelines, rather complex. example, breakpoints must applied certain species groups (case package available microorganisms.groups data set). important considered using breakpoints use.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/clinical_breakpoints.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with Clinical Breakpoints for SIR Interpretation — clinical_breakpoints","text":"","code":"clinical_breakpoints #> # A tibble: 29,883 × 13 #>    guideline   type  host  method site    mo            rank_index ab   ref_tbl  #>    <chr>       <chr> <chr> <chr>  <chr>   <mo>               <dbl> <ab> <chr>    #>  1 EUCAST 2023 human human DISK   NA      B_ACHRMB_XYLS          2 MEM  A. xylo… #>  2 EUCAST 2023 human human MIC    NA      B_ACHRMB_XYLS          2 MEM  A. xylo… #>  3 EUCAST 2023 human human DISK   NA      B_ACHRMB_XYLS          2 SXT  A. xylo… #>  4 EUCAST 2023 human human MIC    NA      B_ACHRMB_XYLS          2 SXT  A. xylo… #>  5 EUCAST 2023 human human DISK   NA      B_ACHRMB_XYLS          2 TZP  A. xylo… #>  6 EUCAST 2023 human human MIC    NA      B_ACHRMB_XYLS          2 TZP  A. xylo… #>  7 EUCAST 2023 human human DISK   NA      B_ACNTB                3 AMK  Acineto… #>  8 EUCAST 2023 human human DISK   Uncomp… B_ACNTB                3 AMK  Acineto… #>  9 EUCAST 2023 human human MIC    NA      B_ACNTB                3 AMK  Acineto… #> 10 EUCAST 2023 human human MIC    Uncomp… B_ACNTB                3 AMK  Acineto… #> # ℹ 29,873 more rows #> # ℹ 4 more variables: disk_dose <chr>, breakpoint_S <dbl>, breakpoint_R <dbl>, #> #   uti <lgl>"},{"path":"https://msberends.github.io/AMR/reference/count.html","id":null,"dir":"Reference","previous_headings":"","what":"Count Available Isolates — count","title":"Count Available Isolates — count","text":"functions can used count resistant/susceptible microbial isolates. functions support quasiquotation pipes, can used summarise() dplyr package also support grouped variables, see Examples. count_resistant() used count resistant isolates, count_susceptible() used count susceptible isolates.","code":""},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Count Available Isolates — count","text":"","code":"count_resistant(..., only_all_tested = FALSE)  count_susceptible(..., only_all_tested = FALSE)  count_R(..., only_all_tested = FALSE)  count_IR(..., only_all_tested = FALSE)  count_I(..., only_all_tested = FALSE)  count_SI(..., only_all_tested = FALSE)  count_S(..., only_all_tested = FALSE)  count_all(..., only_all_tested = FALSE)  n_sir(..., only_all_tested = FALSE)  count_df(   data,   translate_ab = \"name\",   language = get_AMR_locale(),   combine_SI = TRUE )"},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Count Available Isolates — count","text":"... one vectors (columns) antibiotic interpretations. transformed internally .sir() needed. only_all_tested (combination therapies, .e. using one variable ...): logical indicate isolates must tested antibiotics, see section Combination Therapy data data.frame containing columns class sir (see .sir()) translate_ab column name antibiotics data set translate antibiotic abbreviations , using ab_property() language language returned text - default current system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. combine_SI logical indicate whether values S must merged one, output consists S+vs. R (susceptible vs. resistant) - default TRUE","code":""},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Count Available Isolates — count","text":"integer","code":""},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Count Available Isolates — count","text":"functions meant count isolates. Use resistance()/susceptibility() functions calculate microbial resistance/susceptibility. function count_resistant() equal function count_R(). function count_susceptible() equal function count_SI(). function n_sir() alias count_all(). can used count available isolates, .e. input antibiotics available result (S, R). use equal n_distinct(). function equal count_susceptible(...) + count_resistant(...). function count_df() takes variable data sir class (created .sir()) counts number S's, 's R's. also supports grouped variables. function sir_df() works exactly like count_df(), adds percentage S, R.","code":""},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"interpretation-of-sir","dir":"Reference","previous_headings":"","what":"Interpretation of SIR","title":"Count Available Isolates — count","text":"2019, European Committee Antimicrobial Susceptibility Testing (EUCAST) decided change definitions susceptibility testing categories S, , R shown (https://www.eucast.org/newsiandr): S - Susceptible, standard dosing regimen microorganism categorised \"Susceptible, standard dosing regimen\", high likelihood therapeutic success using standard dosing regimen agent. - Susceptible, increased exposure  microorganism categorised \"Susceptible, Increased exposure\" high likelihood therapeutic success exposure agent increased adjusting dosing regimen concentration site infection. R = Resistant microorganism categorised \"Resistant\" high likelihood therapeutic failure even increased exposure. Exposure function mode administration, dose, dosing interval, infusion time, well distribution excretion antimicrobial agent influence infecting organism site infection. AMR package honours insight. Use susceptibility() (equal proportion_SI()) determine antimicrobial susceptibility count_susceptible() (equal count_SI()) count susceptible isolates.","code":""},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"combination-therapy","dir":"Reference","previous_headings":"","what":"Combination Therapy","title":"Count Available Isolates — count","text":"using one variable ... (= combination therapy), use only_all_tested count isolates tested antibiotics/variables test . See example two antibiotics, Drug Drug B, susceptibility() works calculate %SI:   Please note , combination therapies, only_all_tested = TRUE applies :   , combination therapies, only_all_tested = FALSE applies :   Using only_all_tested impact using one antibiotic input.","code":"--------------------------------------------------------------------                     only_all_tested = FALSE  only_all_tested = TRUE                     -----------------------  -----------------------  Drug A    Drug B   include as  include as   include as  include as                     numerator   denominator  numerator   denominator --------  --------  ----------  -----------  ----------  -----------  S or I    S or I       X            X            X            X    R       S or I       X            X            X            X   <NA>     S or I       X            X            -            -  S or I      R          X            X            X            X    R         R          -            X            -            X   <NA>       R          -            -            -            -  S or I     <NA>        X            X            -            -    R        <NA>        -            -            -            -   <NA>      <NA>        -            -            -            - -------------------------------------------------------------------- count_S()    +   count_I()    +   count_R()    = count_all()   proportion_S() + proportion_I() + proportion_R() = 1 count_S()    +   count_I()    +   count_R()    >= count_all()   proportion_S() + proportion_I() + proportion_R() >= 1"},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/count.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Count Available Isolates — count","text":"","code":"# example_isolates is a data set available in the AMR package. # run ?example_isolates for more info.  # base R ------------------------------------------------------------ count_resistant(example_isolates$AMX) # counts \"R\" #> [1] 804 count_susceptible(example_isolates$AMX) # counts \"S\" and \"I\" #> [1] 546 count_all(example_isolates$AMX) # counts \"S\", \"I\" and \"R\" #> [1] 1350  # be more specific count_S(example_isolates$AMX) #> Using count_S() is discouraged; use count_susceptible() instead to also #> consider \"I\" being susceptible. This note will be shown once for this #> session. #> [1] 543 count_SI(example_isolates$AMX) #> [1] 546 count_I(example_isolates$AMX) #> [1] 3 count_IR(example_isolates$AMX) #> Using count_IR() is discouraged; use count_resistant() instead to not #> consider \"I\" being resistant. This note will be shown once for this #> session. #> [1] 807 count_R(example_isolates$AMX) #> [1] 804  # Count all available isolates count_all(example_isolates$AMX) #> [1] 1350 n_sir(example_isolates$AMX) #> [1] 1350  # n_sir() is an alias of count_all(). # Since it counts all available isolates, you can # calculate back to count e.g. susceptible isolates. # These results are the same: count_susceptible(example_isolates$AMX) #> [1] 546 susceptibility(example_isolates$AMX) * n_sir(example_isolates$AMX) #> [1] 546  # dplyr ------------------------------------------------------------- # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     group_by(ward) %>%     summarise(       R = count_R(CIP),       I = count_I(CIP),       S = count_S(CIP),       n1 = count_all(CIP), # the actual total; sum of all three       n2 = n_sir(CIP), # same - analogous to n_distinct       total = n()     ) # NOT the number of tested isolates!    # Number of available isolates for a whole antibiotic class   # (i.e., in this data set columns GEN, TOB, AMK, KAN)   example_isolates %>%     group_by(ward) %>%     summarise(across(aminoglycosides(), n_sir))    # Count co-resistance between amoxicillin/clav acid and gentamicin,   # so we can see that combination therapy does a lot more than mono therapy.   # Please mind that `susceptibility()` calculates percentages right away instead.   example_isolates %>% count_susceptible(AMC) # 1433   example_isolates %>% count_all(AMC) # 1879    example_isolates %>% count_susceptible(GEN) # 1399   example_isolates %>% count_all(GEN) # 1855    example_isolates %>% count_susceptible(AMC, GEN) # 1764   example_isolates %>% count_all(AMC, GEN) # 1936    # Get number of S+I vs. R immediately of selected columns   example_isolates %>%     select(AMX, CIP) %>%     count_df(translate = FALSE)    # It also supports grouping variables   example_isolates %>%     select(ward, AMX, CIP) %>%     group_by(ward) %>%     count_df(translate = FALSE) } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> # A tibble: 12 × 4 #>    ward       antibiotic interpretation value #>  * <chr>      <chr>      <ord>          <int> #>  1 Clinical   AMX        SI               357 #>  2 Clinical   AMX        R                487 #>  3 Clinical   CIP        SI               741 #>  4 Clinical   CIP        R                128 #>  5 ICU        AMX        SI               158 #>  6 ICU        AMX        R                270 #>  7 ICU        CIP        SI               362 #>  8 ICU        CIP        R                 85 #>  9 Outpatient AMX        SI                31 #> 10 Outpatient AMX        R                 47 #> 11 Outpatient CIP        SI                78 #> 12 Outpatient CIP        R                 15 # }"},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":null,"dir":"Reference","previous_headings":"","what":"Define Custom EUCAST Rules — custom_eucast_rules","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"Define custom EUCAST rules organisation specific analysis use output function eucast_rules().","code":""},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"","code":"custom_eucast_rules(...)"},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"... rules formula notation, see Examples","code":""},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"list containing custom rules","code":""},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"organisations adoption EUCAST rules. function can used define custom EUCAST rules used eucast_rules() function.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"basics","dir":"Reference","previous_headings":"","what":"Basics","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"familiar case_when() function dplyr package, recognise input method set rules. Rules must set using R considers 'formula notation'. rule written tilde (~) consequence rule written tilde:   two custom EUCAST rules: TZP (piperacillin/tazobactam) \"S\", aminopenicillins (ampicillin amoxicillin) must made \"S\", TZP \"R\", aminopenicillins must made \"R\". rules can also printed console, immediately clear work:   rules (part tilde, example TZP == \"S\" TZP == \"R\") must evaluable data set: able run filter data set without errors. means example column TZP must exist. create sample data set test rules set:","code":"x <- custom_eucast_rules(TZP == \"S\" ~ aminopenicillins == \"S\",                          TZP == \"R\" ~ aminopenicillins == \"R\") x #> A set of custom EUCAST rules: #> #>   1. If TZP is \"S\" then set to  S : #>      amoxicillin (AMX), ampicillin (AMP) #> #>   2. If TZP is \"R\" then set to  R : #>      amoxicillin (AMX), ampicillin (AMP) df <- data.frame(mo = c(\"Escherichia coli\", \"Klebsiella pneumoniae\"),                  TZP = as.sir(\"R\"),                  ampi = as.sir(\"S\"),                  cipro = as.sir(\"S\")) df #>                      mo TZP ampi cipro #> 1      Escherichia coli   R    S     S #> 2 Klebsiella pneumoniae   R    S     S  eucast_rules(df, rules = \"custom\", custom_rules = x, info = FALSE) #>                      mo TZP ampi cipro #> 1      Escherichia coli   R    R     S #> 2 Klebsiella pneumoniae   R    R     S"},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"using-taxonomic-properties-in-rules","dir":"Reference","previous_headings":"","what":"Using taxonomic properties in rules","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"one exception columns used rules: column names microorganisms data set can also used, exist data set. column names : \"mo\", \"fullname\", \"status\", \"kingdom\", \"phylum\", \"class\", \"order\", \"family\", \"genus\", \"species\", \"subspecies\", \"rank\", \"ref\", \"oxygen_tolerance\", \"source\", \"lpsn\", \"lpsn_parent\", \"lpsn_renamed_to\", \"gbif\", \"gbif_parent\", \"gbif_renamed_to\", \"prevalence\", \"snomed\". Thus, next example work well, despite fact df data set contain column genus:","code":"y <- custom_eucast_rules(TZP == \"S\" & genus == \"Klebsiella\" ~ aminopenicillins == \"S\",                          TZP == \"R\" & genus == \"Klebsiella\" ~ aminopenicillins == \"R\")  eucast_rules(df, rules = \"custom\", custom_rules = y, info = FALSE) #>                      mo TZP ampi cipro #> 1      Escherichia coli   R    S     S #> 2 Klebsiella pneumoniae   R    R     S"},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"usage-of-antibiotic-group-names","dir":"Reference","previous_headings":"","what":"Usage of antibiotic group names","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"possible define antibiotic groups instead single antibiotics rule consequence, part tilde. examples, antibiotic group aminopenicillins used include ampicillin amoxicillin. following groups allowed (case-insensitive). Within parentheses drugs matched running rule. \"aminoglycosides\"(amikacin, amikacin/fosfomycin, amphotericin B-high, apramycin, arbekacin, astromicin, bekanamycin, dibekacin, framycetin, gentamicin, gentamicin-high, habekacin, hygromycin, isepamicin, kanamycin, kanamycin-high, kanamycin/cephalexin, micronomicin, neomycin, netilmicin, pentisomicin, plazomicin, propikacin, ribostamycin, sisomicin, streptoduocin, streptomycin, streptomycin-high, tobramycin, tobramycin-high) \"aminopenicillins\"(amoxicillin ampicillin) \"antifungals\"(amphotericin B, anidulafungin, butoconazole, caspofungin, ciclopirox, clotrimazole, econazole, fluconazole, flucytosine, fosfluconazole, griseofulvin, hachimycin, ibrexafungerp, isavuconazole, isoconazole, itraconazole, ketoconazole, manogepix, micafungin, miconazole, nystatin, oteseconazole, pimaricin, posaconazole, rezafungin, ribociclib, sulconazole, terbinafine, terconazole, voriconazole) \"antimycobacterials\"(4-aminosalicylic acid, calcium aminosalicylate, capreomycin, clofazimine, delamanid, enviomycin, ethambutol, ethambutol/isoniazid, ethionamide, isoniazid, isoniazid/sulfamethoxazole/trimethoprim/pyridoxine, morinamide, p-aminosalicylic acid, pretomanid, protionamide, pyrazinamide, rifabutin, rifampicin, rifampicin/ethambutol/isoniazid, rifampicin/isoniazid, rifampicin/pyrazinamide/ethambutol/isoniazid, rifampicin/pyrazinamide/isoniazid, rifamycin, rifapentine, simvastatin/fenofibrate, sodium aminosalicylate, streptomycin/isoniazid, terizidone, thioacetazone, thioacetazone/isoniazid, tiocarlide, viomycin) \"betalactams\"(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, aztreonam/nacubactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, biapenem, carbenicillin, carindacillin, cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/nacubactam, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, ciclacillin, clometocillin, cloxacillin, dicloxacillin, doripenem, epicillin, ertapenem, flucloxacillin, hetacillin, imipenem, imipenem/EDTA, imipenem/relebactam, latamoxef, lenampicillin, loracarbef, mecillinam, meropenem, meropenem/nacubactam, meropenem/vaborbactam, metampicillin, meticillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, panipenem, penamecillin, penicillin/novobiocin, penicillin/sulbactam, pheneticillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, razupenem, ritipenem, ritipenem acoxil, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, tebipenem, temocillin, ticarcillin, ticarcillin/clavulanic acid) \"carbapenems\"(biapenem, doripenem, ertapenem, imipenem, imipenem/EDTA, imipenem/relebactam, meropenem, meropenem/nacubactam, meropenem/vaborbactam, panipenem, razupenem, ritipenem, ritipenem acoxil, tebipenem) \"cephalosporins\"(cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, latamoxef, loracarbef) \"cephalosporins_1st\"(cefacetrile, cefadroxil, cefalexin, cefaloridine, cefalotin, cefapirin, cefatrizine, cefazedone, cefazolin, cefroxadine, ceftezole, cephradine) \"cephalosporins_2nd\"(cefaclor, cefamandole, cefmetazole, cefonicid, ceforanide, cefotetan, cefotiam, cefoxitin, cefoxitin screening, cefprozil, cefuroxime, cefuroxime axetil, loracarbef) \"cephalosporins_3rd\"(cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefetamet, cefetamet pivoxil, cefixime, cefmenoxime, cefodizime, cefoperazone, cefoperazone/sulbactam, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotiam hexetil, cefovecin, cefpimizole, cefpiramide, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefsulodin, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, latamoxef) \"cephalosporins_4th\"(cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetecol, cefoselis, cefozopran, cefpirome, cefquinome) \"cephalosporins_5th\"(ceftaroline, ceftaroline/avibactam, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam) \"cephalosporins_except_caz\"(cefacetrile, cefaclor, cefadroxil, cefalexin, cefaloridine, cefalotin, cefamandole, cefapirin, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol, cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/tazobactam, ceftriaxone, ceftriaxone/beta-lactamase inhibitor, cefuroxime, cefuroxime axetil, cephradine, latamoxef, loracarbef) \"fluoroquinolones\"(besifloxacin, ciprofloxacin, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, lascufloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nifuroquine, norfloxacin, ofloxacin, orbifloxacin, pazufloxacin, pefloxacin, pradofloxacin, premafloxacin, prulifloxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin, trovafloxacin) \"glycopeptides\"(avoparcin, dalbavancin, norvancomycin, oritavancin, ramoplanin, teicoplanin, teicoplanin-macromethod, telavancin, vancomycin, vancomycin-macromethod) \"glycopeptides_except_lipo\"(avoparcin, norvancomycin, ramoplanin, teicoplanin, teicoplanin-macromethod, vancomycin, vancomycin-macromethod) \"lincosamides\"(acetylmidecamycin, acetylspiramycin, clindamycin, gamithromycin, kitasamycin, lincomycin, meleumycin, nafithromycin, pirlimycin, primycin, solithromycin, tildipirosin, tilmicosin, tulathromycin, tylosin, tylvalosin) \"lipoglycopeptides\"(dalbavancin, oritavancin, telavancin) \"macrolides\"(acetylmidecamycin, acetylspiramycin, azithromycin, clarithromycin, dirithromycin, erythromycin, flurithromycin, gamithromycin, josamycin, kitasamycin, meleumycin, midecamycin, miocamycin, nafithromycin, oleandomycin, pirlimycin, primycin, rokitamycin, roxithromycin, solithromycin, spiramycin, telithromycin, tildipirosin, tilmicosin, troleandomycin, tulathromycin, tylosin, tylvalosin) \"oxazolidinones\"(cadazolid, cycloserine, linezolid, tedizolid, thiacetazone) \"penicillins\"(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, aztreonam/nacubactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, carbenicillin, carindacillin, cefepime/nacubactam, ciclacillin, clometocillin, cloxacillin, dicloxacillin, epicillin, flucloxacillin, hetacillin, lenampicillin, mecillinam, metampicillin, meticillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, penamecillin, penicillin/novobiocin, penicillin/sulbactam, pheneticillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, temocillin, ticarcillin, ticarcillin/clavulanic acid) \"polymyxins\"(colistin, polymyxin B, polymyxin B/polysorbate 80) \"quinolones\"(besifloxacin, cinoxacin, ciprofloxacin, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, flumequine, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, lascufloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nalidixic acid, nemonoxacin, nifuroquine, nitroxoline, norfloxacin, ofloxacin, orbifloxacin, oxolinic acid, pazufloxacin, pefloxacin, pipemidic acid, piromidic acid, pradofloxacin, premafloxacin, prulifloxacin, rosoxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin, trovafloxacin) \"streptogramins\"(pristinamycin quinupristin/dalfopristin) \"tetracyclines\"(cetocycline, chlortetracycline, clomocycline, demeclocycline, doxycycline, eravacycline, lymecycline, metacycline, minocycline, omadacycline, oxytetracycline, penimepicycline, rolitetracycline, sarecycline, tetracycline, tigecycline) \"tetracyclines_except_tgc\"(cetocycline, chlortetracycline, clomocycline, demeclocycline, doxycycline, eravacycline, lymecycline, metacycline, minocycline, omadacycline, oxytetracycline, penimepicycline, rolitetracycline, sarecycline, tetracycline) \"trimethoprims\"(brodimoprim, sulfadiazine, sulfadiazine/tetroxoprim, sulfadiazine/trimethoprim, sulfadimethoxine, sulfadimidine, sulfadimidine/trimethoprim, sulfafurazole, sulfaisodimidine, sulfalene, sulfamazone, sulfamerazine, sulfamerazine/trimethoprim, sulfamethizole, sulfamethoxazole, sulfamethoxypyridazine, sulfametomidine, sulfametoxydiazine, sulfametrole/trimethoprim, sulfamoxole, sulfamoxole/trimethoprim, sulfanilamide, sulfaperin, sulfaphenazole, sulfapyridine, sulfathiazole, sulfathiourea, trimethoprim, trimethoprim/sulfamethoxazole) \"ureidopenicillins\"(azlocillin, mezlocillin, piperacillin, piperacillin/tazobactam)","code":""},{"path":"https://msberends.github.io/AMR/reference/custom_eucast_rules.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Define Custom EUCAST Rules — custom_eucast_rules","text":"","code":"x <- custom_eucast_rules(   AMC == \"R\" & genus == \"Klebsiella\" ~ aminopenicillins == \"R\",   AMC == \"I\" & genus == \"Klebsiella\" ~ aminopenicillins == \"I\" ) x #> A set of custom EUCAST rules: #>  #>   1. If AMC is \"R\" and genus is \"Klebsiella\" then set to  R : #>      amoxicillin (AMX), ampicillin (AMP) #>  #>   2. If AMC is \"I\" and genus is \"Klebsiella\" then set to  I : #>      amoxicillin (AMX), ampicillin (AMP)  # run the custom rule set (verbose = TRUE will return a logbook instead of the data set): eucast_rules(example_isolates,   rules = \"custom\",   custom_rules = x,   info = FALSE,   verbose = TRUE ) #> # A tibble: 8 × 9 #>     row col   mo_fullname     old   new   rule  rule_group rule_name rule_source #>   <int> <chr> <chr>           <ord> <chr> <chr> <chr>      <chr>     <chr>       #> 1    33 AMP   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 2    33 AMX   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 3    34 AMP   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 4    34 AMX   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 5   531 AMP   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 6   531 AMX   Klebsiella pne… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 7  1485 AMP   Klebsiella oxy… R     I     \"rep… Custom EU… Custom E… Object 'x'… #> 8  1485 AMX   Klebsiella oxy… R     I     \"rep… Custom EU… Custom E… Object 'x'…  # combine rule sets x2 <- c(   x,   custom_eucast_rules(TZP == \"R\" ~ carbapenems == \"R\") ) x2 #> A set of custom EUCAST rules: #>  #>   1. If AMC is \"R\" and genus is \"Klebsiella\" then set to  R : #>      amoxicillin (AMX), ampicillin (AMP) #>  #>   2. If AMC is \"I\" and genus is \"Klebsiella\" then set to  I : #>      amoxicillin (AMX), ampicillin (AMP) #>  #>   3. If TZP is \"R\" then set to  R : #>      biapenem (BIA), doripenem (DOR), ertapenem (ETP), imipenem (IPM), #>      imipenem/EDTA (IPE), imipenem/relebactam (IMR), meropenem (MEM), #>      meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), panipenem (PAN), #>      razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), tebipenem (TBP)"},{"path":"https://msberends.github.io/AMR/reference/dosage.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","title":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","text":"EUCAST breakpoints used package based dosages data set. can retrieved eucast_dosage().","code":""},{"path":"https://msberends.github.io/AMR/reference/dosage.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","text":"","code":"dosage"},{"path":"https://msberends.github.io/AMR/reference/dosage.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","text":"tibble 503 observations 9 variables: ab Antibiotic ID used package (AMC), using official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes available name Official name antimicrobial drug used WHONET/EARS-Net type Type dosage, either \"high_dosage\", \"standard_dosage\", \"uncomplicated_uti\" dose Dose, \"2 g\" \"25 mg/kg\" dose_times Number times dose must administered administration Route administration, either \"im\", \"iv\", \"oral\" notes Additional dosage notes original_txt Original text PDF file EUCAST eucast_version Version number EUCAST Clinical Breakpoints guideline dosages apply, either 13, 12, 11","code":""},{"path":"https://msberends.github.io/AMR/reference/dosage.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/dosage.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with Treatment Dosages as Defined by EUCAST — dosage","text":"","code":"dosage #> # A tibble: 503 × 9 #>    ab   name            type  dose  dose_times administration notes original_txt #>    <ab> <chr>           <chr> <chr>      <int> <chr>          <chr> <chr>        #>  1 AMK  Amikacin        stan… 25-3…          1 iv             \"\"    25-30 mg/kg… #>  2 AMX  Amoxicillin     high… 2 g            6 iv             \"\"    2 g x 6 iv   #>  3 AMX  Amoxicillin     stan… 1 g            3 iv             \"\"    1 g x 3-4 iv #>  4 AMX  Amoxicillin     high… 0.75…          3 oral           \"\"    0.75-1 g x … #>  5 AMX  Amoxicillin     stan… 0.5 g          3 oral           \"\"    0.5 g x 3 o… #>  6 AMX  Amoxicillin     unco… 0.5 g          3 oral           \"\"    0.5 g x 3 o… #>  7 AMC  Amoxicillin/cl… high… 2 g …          3 iv             \"\"    (2 g amoxic… #>  8 AMC  Amoxicillin/cl… stan… 1 g …          3 iv             \"\"    (1 g amoxic… #>  9 AMC  Amoxicillin/cl… high… 0.87…          3 oral           \"\"    (0.875 g am… #> 10 AMC  Amoxicillin/cl… stan… 0.5 …          3 oral           \"\"    (0.5 g amox… #> # ℹ 493 more rows #> # ℹ 1 more variable: eucast_version <dbl>"},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply EUCAST Rules — eucast_rules","title":"Apply EUCAST Rules — eucast_rules","text":"Apply rules clinical breakpoints intrinsic resistance defined European Committee Antimicrobial Susceptibility Testing (EUCAST, https://www.eucast.org), see Source. Use eucast_dosage() get data.frame advised dosages certain bug-drug combination, based dosage data set. improve interpretation antibiogram EUCAST rules applied, non-EUCAST rules can applied default, see Details.","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply EUCAST Rules — eucast_rules","text":"","code":"eucast_rules(   x,   col_mo = NULL,   info = interactive(),   rules = getOption(\"AMR_eucastrules\", default = c(\"breakpoints\", \"expert\")),   verbose = FALSE,   version_breakpoints = 12,   version_expertrules = 3.3,   ampc_cephalosporin_resistance = NA,   only_sir_columns = FALSE,   custom_rules = NULL,   ... )  eucast_dosage(ab, administration = \"iv\", version_breakpoints = 12)"},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Apply EUCAST Rules — eucast_rules","text":"EUCAST Expert Rules. Version 2.0, 2012. Leclercq et al. EUCAST expert rules antimicrobial susceptibility testing. Clin Microbiol Infect. 2013;19(2):141-60; doi:10.1111/j.1469-0691.2011.03703.x EUCAST Expert Rules, Intrinsic Resistance Exceptional Phenotypes Tables. Version 3.1, 2016. (link) EUCAST Intrinsic Resistance Unusual Phenotypes. Version 3.2, 2020. (link) EUCAST Intrinsic Resistance Unusual Phenotypes. Version 3.3, 2021. (link) EUCAST Breakpoint tables interpretation MICs zone diameters. Version 9.0, 2019. (link) EUCAST Breakpoint tables interpretation MICs zone diameters. Version 10.0, 2020. (link) EUCAST Breakpoint tables interpretation MICs zone diameters. Version 11.0, 2021. (link) EUCAST Breakpoint tables interpretation MICs zone diameters. Version 12.0, 2022. (link)","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply EUCAST Rules — eucast_rules","text":"x data set antibiotic columns, amox, AMX AMC col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). info logical indicate whether progress printed console - default print interactive sessions rules character vector specifies rules applied. Must one \"breakpoints\", \"expert\", \"\", \"custom\", \"\", defaults c(\"breakpoints\", \"expert\"). default value can set another value using package option AMR_eucastrules: options(AMR_eucastrules = \"\"). using \"custom\", sure fill argument custom_rules . Custom rules can created custom_eucast_rules(). verbose logical turn Verbose mode (default ). Verbose mode, function apply rules data, instead returns data set logbook form extensive info rows columns effected way. Using Verbose mode takes lot time. version_breakpoints version number use EUCAST Clinical Breakpoints guideline. Can \"12.0\", \"11.0\", \"10.0\". version_expertrules version number use EUCAST Expert Rules Intrinsic Resistance guideline. Can \"3.3\", \"3.2\", \"3.1\". ampc_cephalosporin_resistance character value applied cefotaxime, ceftriaxone ceftazidime AmpC de-repressed cephalosporin-resistant mutants - default NA. Currently works version_expertrules 3.2 higher; version 'EUCAST Expert Rules Enterobacterales' state results cefotaxime, ceftriaxone ceftazidime reported note, results suppressed (emptied) three drugs. value NA (default) argument remove results three drugs, e.g. value \"R\" make results drugs resistant. Use NULL FALSE alter results three drugs AmpC de-repressed cephalosporin-resistant mutants. Using TRUE equal using \"R\".  EUCAST Expert Rules v3.2, rule applies : Citrobacter braakii, Citrobacter freundii, Citrobacter gillenii, Citrobacter murliniae, Citrobacter rodenticum, Citrobacter sedlakii, Citrobacter werkmanii, Citrobacter youngae, Enterobacter, Hafnia alvei, Klebsiella aerogenes, Morganella morganii, Providencia, Serratia. only_sir_columns logical indicate whether antibiotic columns must detected transformed class sir (see .sir()) beforehand (default FALSE) custom_rules custom rules apply, created custom_eucast_rules() ... column name antibiotic, see section Antibiotics ab (vector ) text can coerced valid antibiotic drug code .ab() administration route administration, either \"im\", \"iv\", \"oral\"","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apply EUCAST Rules — eucast_rules","text":"input x, possibly edited values antibiotics. , verbose = TRUE, data.frame original new values affected bug-drug combinations.","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Apply EUCAST Rules — eucast_rules","text":"Note: function translate MIC values SIR values. Use .sir() . Note: ampicillin (AMP, J01CA01) available amoxicillin (AMX, J01CA04) , latter used rules dependency ampicillin. drugs interchangeable comes expression antimicrobial resistance. file containing EUCAST rules located : https://github.com/msberends/AMR/blob/main/data-raw/eucast_rules.tsv.  Note: Old taxonomic names replaced current taxonomy applicable. example, Ochrobactrum anthropi renamed Brucella anthropi 2020; original EUCAST rules v3.1 v3.2 yet contain new taxonomic name. AMR package contains full microbial taxonomy updated January 8th, 2024, see microorganisms.","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"custom-rules","dir":"Reference","previous_headings":"","what":"Custom Rules","title":"Apply EUCAST Rules — eucast_rules","text":"Custom rules can created using custom_eucast_rules(), e.g.:","code":"x <- custom_eucast_rules(AMC == \"R\" & genus == \"Klebsiella\" ~ aminopenicillins == \"R\",                          AMC == \"I\" & genus == \"Klebsiella\" ~ aminopenicillins == \"I\")  eucast_rules(example_isolates, rules = \"custom\", custom_rules = x)"},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"-other-rules","dir":"Reference","previous_headings":"","what":"'Other' Rules","title":"Apply EUCAST Rules — eucast_rules","text":"processing, two non-EUCAST rules drug combinations can applied improve efficacy EUCAST rules, reliability data (analysis). rules : drug enzyme inhibitor set S drug without enzyme inhibitor S drug without enzyme inhibitor set R drug enzyme inhibitor R Important examples include amoxicillin amoxicillin/clavulanic acid, trimethoprim trimethoprim/sulfamethoxazole. Needless say, rules work, drugs must available data set. Since rules officially approved EUCAST, applied default. use rules, include \"\" rules argument, use eucast_rules(..., rules = \"\"). can also set package option AMR_eucastrules, .e. run options(AMR_eucastrules = \"\").","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"antibiotics","dir":"Reference","previous_headings":"","what":"Antibiotics","title":"Apply EUCAST Rules — eucast_rules","text":"define antibiotics column names, leave determine automatically guess_ab_col() input text (case-insensitive), use NULL skip column (e.g. TIC = NULL skip ticarcillin). Manually defined non-existing columns skipped warning. following antibiotics eligible functions eucast_rules() mdro(). shown format 'name (antimicrobial ID, ATC code)', sorted alphabetically: Amikacin (AMK, J01GB06), amoxicillin (AMX, J01CA04), amoxicillin/clavulanic acid (AMC, J01CR02), ampicillin (AMP, J01CA01), ampicillin/sulbactam (SAM, J01CR01), apramycin (APR, QA07AA92), arbekacin (ARB, J01GB12), aspoxicillin (APX, J01CA19), azidocillin (AZD, J01CE04), azithromycin (AZM, J01FA10), azlocillin (AZL, J01CA09), aztreonam (ATM, J01DF01), bacampicillin (BAM, J01CA06), bekanamycin (BEK, J01GB13), benzathine benzylpenicillin (BNB, J01CE08), benzathine phenoxymethylpenicillin (BNP, J01CE10), benzylpenicillin (PEN, J01CE01), besifloxacin (BES, S01AE08), biapenem (BIA, J01DH05), carbenicillin (CRB, J01CA03), carindacillin (CRN, J01CA05), cefacetrile (CAC, J01DB10), cefaclor (CEC, J01DC04), cefadroxil (CFR, J01DB05), cefalexin (LEX, J01DB01), cefaloridine (RID, J01DB02), cefalotin (CEP, J01DB03), cefamandole (MAN, J01DC03), cefapirin (HAP, J01DB08), cefatrizine (CTZ, J01DB07), cefazedone (CZD, J01DB06), cefazolin (CZO, J01DB04), cefcapene (CCP, J01DD17), cefdinir (CDR, J01DD15), cefditoren (DIT, J01DD16), cefepime (FEP, J01DE01), cefetamet (CAT, J01DD10), cefixime (CFM, J01DD08), cefmenoxime (CMX, J01DD05), cefmetazole (CMZ, J01DC09), cefodizime (DIZ, J01DD09), cefonicid (CID, J01DC06), cefoperazone (CFP, J01DD12), cefoperazone/sulbactam (CSL, J01DD62), ceforanide (CND, J01DC11), cefotaxime (CTX, J01DD01), cefotaxime/clavulanic acid (CTC, J01DD51), cefotetan (CTT, J01DC05), cefotiam (CTF, J01DC07), cefovecin (FOV, QJ01DD91), cefoxitin (FOX, J01DC01), cefozopran (ZOP, J01DE03), cefpiramide (CPM, J01DD11), cefpirome (CPO, J01DE02), cefpodoxime (CPD, J01DD13), cefprozil (CPR, J01DC10), cefquinome (CEQ, QG51AA07), cefroxadine (CRD, J01DB11), cefsulodin (CFS, J01DD03), ceftaroline (CPT, J01DI02), ceftazidime (CAZ, J01DD02), ceftazidime/clavulanic acid (CCV, J01DD52), cefteram (CEM, J01DD18), ceftezole (CTL, J01DB12), ceftibuten (CTB, J01DD14), ceftiofur (TIO, QJ01DD90), ceftizoxime (CZX, J01DD07), ceftobiprole medocaril (CFM1, J01DI01), ceftolozane/tazobactam (CZT, J01DI54), ceftriaxone (CRO, J01DD04), ceftriaxone/beta-lactamase inhibitor (CEB, J01DD63), cefuroxime (CXM, J01DC02), cephradine (CED, J01DB09), chloramphenicol (CHL, J01BA01), ciprofloxacin (CIP, J01MA02), clarithromycin (CLR, J01FA09), clindamycin (CLI, J01FF01), clometocillin (CLM, J01CE07), cloxacillin (CLO, J01CF02), colistin (COL, J01XB01), cycloserine (CYC, J04AB01), dalbavancin (DAL, J01XA04), danofloxacin (DAN, QJ01MA92), daptomycin (DAP, J01XX09), delafloxacin (DFX, J01MA23), dibekacin (DKB, J01GB09), dicloxacillin (DIC, J01CF01), difloxacin (DIF, QJ01MA94), dirithromycin (DIR, J01FA13), doripenem (DOR, J01DH04), doxycycline (DOX, J01AA02), enoxacin (ENX, J01MA04), enrofloxacin (ENR, QJ01MA90), epicillin (EPC, J01CA07), ertapenem (ETP, J01DH03), erythromycin (ERY, J01FA01), fleroxacin (FLE, J01MA08), flucloxacillin (FLC, J01CF05), flurithromycin (FLR1, J01FA14), fosfomycin (FOS, J01XX01), framycetin (FRM, D09AA01), fusidic acid (FUS, J01XC01), gamithromycin (GAM, QJ01FA95), garenoxacin (GRN, J01MA19), gatifloxacin (GAT, J01MA16), gemifloxacin (GEM, J01MA15), gentamicin (GEN, J01GB03), grepafloxacin (GRX, J01MA11), hetacillin (HET, J01CA18), imipenem (IPM, J01DH51), imipenem/relebactam (IMR, J01DH56), isepamicin (ISE, J01GB11), josamycin (JOS, J01FA07), kanamycin (KAN, J01GB04), kitasamycin (KIT, QJ01FA93), lascufloxacin (LSC, J01MA25), latamoxef (LTM, J01DD06), levofloxacin (LVX, J01MA12), levonadifloxacin (LND, J01MA24), lincomycin (LIN, J01FF02), linezolid (LNZ, J01XX08), lomefloxacin (LOM, J01MA07), loracarbef (LOR, J01DC08), marbofloxacin (MAR, QJ01MA93), mecillinam (MEC, J01CA11), meropenem (MEM, J01DH02), meropenem/vaborbactam (MEV, J01DH52), metampicillin (MTM, J01CA14), meticillin (MET, J01CF03), mezlocillin (MEZ, J01CA10), micronomicin (MCR, S01AA22), midecamycin (MID, J01FA03), minocycline (MNO, J01AA08), miocamycin (MCM, J01FA11), moxifloxacin (MFX, J01MA14), nadifloxacin (NAD, D10AF05), nafcillin (NAF, J01CF06), nalidixic acid (NAL, J01MB02), neomycin (NEO, J01GB05), netilmicin (NET, J01GB07), nitrofurantoin (NIT, J01XE01), norfloxacin (, J01MA06), novobiocin (NOV, QJ01XX95), ofloxacin (OFX, J01MA01), oleandomycin (OLE, J01FA05), orbifloxacin (ORB, QJ01MA95), oritavancin (ORI, J01XA05), oxacillin (OXA, J01CF04), panipenem (PAN, J01DH55), pazufloxacin (PAZ, J01MA18), pefloxacin (PEF, J01MA03), penamecillin (PNM, J01CE06), pheneticillin (PHE, J01CE05), phenoxymethylpenicillin (PHN, J01CE02), piperacillin (PIP, J01CA12), piperacillin/tazobactam (TZP, J01CR05), pirlimycin (PRL, QJ51FF90), pivampicillin (PVM, J01CA02), pivmecillinam (PME, J01CA08), plazomicin (PLZ, J01GB14), polymyxin B (PLB, J01XB02), pradofloxacin (PRA, QJ01MA97), pristinamycin (PRI, J01FG01), procaine benzylpenicillin (PRB, J01CE09), propicillin (PRP, J01CE03), prulifloxacin (PRU, J01MA17), quinupristin/dalfopristin (QDA, QJ01FG02), ribostamycin (RST, J01GB10), rifampicin (RIF, J04AB02), rokitamycin (ROK, J01FA12), roxithromycin (RXT, J01FA06), rufloxacin (RFL, J01MA10), sarafloxacin (SAR, QJ01MA98), sisomicin (SIS, J01GB08), sitafloxacin (SIT, J01MA21), solithromycin (SOL, J01FA16), sparfloxacin (SPX, J01MA09), spiramycin (SPI, J01FA02), streptoduocin (STR, J01GA02), streptomycin (STR1, J01GA01), sulbactam (SUL, J01CG01), sulbenicillin (SBC, J01CA16), sulfadiazine (SDI, J01EC02), sulfadiazine/trimethoprim (SLT1, J01EE02), sulfadimethoxine (SUD, J01ED01), sulfadimidine (SDM, J01EB03), sulfadimidine/trimethoprim (SLT2, J01EE05), sulfafurazole (SLF, J01EB05), sulfaisodimidine (SLF1, J01EB01), sulfalene (SLF2, J01ED02), sulfamazone (SZO, J01ED09), sulfamerazine (SLF3, J01ED07), sulfamerazine/trimethoprim (SLT3, J01EE07), sulfamethizole (SLF4, J01EB02), sulfamethoxazole (SMX, J01EC01), sulfamethoxypyridazine (SLF5, J01ED05), sulfametomidine (SLF6, J01ED03), sulfametoxydiazine (SLF7, J01ED04), sulfametrole/trimethoprim (SLT4, J01EE03), sulfamoxole (SLF8, J01EC03), sulfamoxole/trimethoprim (SLT5, J01EE04), sulfanilamide (SLF9, J01EB06), sulfaperin (SLF10, J01ED06), sulfaphenazole (SLF11, J01ED08), sulfapyridine (SLF12, J01EB04), sulfathiazole (SUT, J01EB07), sulfathiourea (SLF13, J01EB08), sultamicillin (SLT6, J01CR04), talampicillin (TAL, J01CA15), tazobactam (TAZ, J01CG02), tebipenem (TBP, J01DH06), tedizolid (TZD, J01XX11), teicoplanin (TEC, J01XA02), telavancin (TLV, J01XA03), telithromycin (TLT, J01FA15), temafloxacin (TMX, J01MA05), temocillin (TEM, J01CA17), tetracycline (TCY, J01AA07), ticarcillin (TIC, J01CA13), ticarcillin/clavulanic acid (TCC, J01CR03), tigecycline (TGC, J01AA12), tilbroquinol (TBQ, P01AA05), tildipirosin (TIP, QJ01FA96), tilmicosin (TIL, QJ01FA91), tobramycin (TOB, J01GB01), tosufloxacin (TFX, J01MA22), trimethoprim (TMP, J01EA01), trimethoprim/sulfamethoxazole (SXT, J01EE01), troleandomycin (TRL, J01FA08), trovafloxacin (TVA, J01MA13), tulathromycin (TUL, QJ01FA94), tylosin (TYL, QJ01FA90), tylvalosin (TYL1, QJ01FA92), vancomycin (VAN, J01XA01)","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Apply EUCAST Rules — eucast_rules","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/eucast_rules.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Apply EUCAST Rules — eucast_rules","text":"","code":"# \\donttest{ a <- data.frame(   mo = c(     \"Staphylococcus aureus\",     \"Enterococcus faecalis\",     \"Escherichia coli\",     \"Klebsiella pneumoniae\",     \"Pseudomonas aeruginosa\"   ),   VAN = \"-\", # Vancomycin   AMX = \"-\", # Amoxicillin   COL = \"-\", # Colistin   CAZ = \"-\", # Ceftazidime   CXM = \"-\", # Cefuroxime   PEN = \"S\", # Benzylpenicillin   FOX = \"S\", # Cefoxitin   stringsAsFactors = FALSE )  head(a) #>                       mo VAN AMX COL CAZ CXM PEN FOX #> 1  Staphylococcus aureus   -   -   -   -   -   S   S #> 2  Enterococcus faecalis   -   -   -   -   -   S   S #> 3       Escherichia coli   -   -   -   -   -   S   S #> 4  Klebsiella pneumoniae   -   -   -   -   -   S   S #> 5 Pseudomonas aeruginosa   -   -   -   -   -   S   S   # apply EUCAST rules: some results wil be changed b <- eucast_rules(a) #> Warning: in eucast_rules(): not all columns with antimicrobial results are of #> class 'sir'. Transform them on beforehand, with e.g.: #>   - a %>% as.sir(CXM:AMX) #>   - a %>% mutate_if(is_sir_eligible, as.sir) #>   - a %>% mutate(across(where(is_sir_eligible), as.sir))  head(b) #>                       mo VAN AMX COL CAZ CXM PEN FOX #> 1  Staphylococcus aureus   -   S   R   S   S   S   S #> 2  Enterococcus faecalis   -   -   R   R   R   S   R #> 3       Escherichia coli   R   -   -   -   -   R   S #> 4  Klebsiella pneumoniae   R   R   -   -   -   R   S #> 5 Pseudomonas aeruginosa   R   R   -   -   R   R   R   # do not apply EUCAST rules, but rather get a data.frame # containing all details about the transformations: c <- eucast_rules(a, verbose = TRUE) #> Warning: in eucast_rules(): not all columns with antimicrobial results are of #> class 'sir'. Transform them on beforehand, with e.g.: #>   - a %>% as.sir(CXM:AMX) #>   - a %>% mutate_if(is_sir_eligible, as.sir) #>   - a %>% mutate(across(where(is_sir_eligible), as.sir)) head(c) #>   row col           mo_fullname old new rule   rule_group #> 1   1 AMX Staphylococcus aureus   -   S       Breakpoints #> 2   1 CXM Staphylococcus aureus   -   S       Breakpoints #> 3   1 CAZ Staphylococcus aureus   R   S      Expert Rules #> 4   1 CAZ Staphylococcus aureus   -   R      Expert Rules #> 5   1 COL Staphylococcus aureus   -   R      Expert Rules #> 6   2 CAZ Enterococcus faecalis   -   R      Expert Rules #>                                                 rule_name #> 1                                          Staphylococcus #> 2                                          Staphylococcus #> 3                          Expert Rules on Staphylococcus #> 4 Table 4: Intrinsic resistance in gram-positive bacteria #> 5 Table 4: Intrinsic resistance in gram-positive bacteria #> 6 Table 4: Intrinsic resistance in gram-positive bacteria #>                                                                                 rule_source #> 1                                           'EUCAST Clinical Breakpoint Tables' v12.0, 2022 #> 2                                           'EUCAST Clinical Breakpoint Tables' v12.0, 2022 #> 3 'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3, 2021 #> 4 'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3, 2021 #> 5 'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3, 2021 #> 6 'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3, 2021 # }  # Dosage guidelines:  eucast_dosage(c(\"tobra\", \"genta\", \"cipro\"), \"iv\") #> ℹ Dosages for antimicrobial drugs, as meant for 'EUCAST Clinical Breakpoint #>   Tables' v12.0 (2022). This note will be shown once per session. #> # A tibble: 3 × 4 #>   ab   name          standard_dosage  high_dosage  #>   <ab> <chr>         <chr>            <chr>        #> 1 TOB  Tobramycin    6-7 mg/kg x 1 iv NA           #> 2 GEN  Gentamicin    6-7 mg/kg x 1 iv NA           #> 3 CIP  Ciprofloxacin 0.4 g x 2 iv     0.4 g x 3 iv  eucast_dosage(c(\"tobra\", \"genta\", \"cipro\"), \"iv\", version_breakpoints = 10) #> ℹ Dosages for antimicrobial drugs, as meant for 'EUCAST Clinical Breakpoint #>   Tables' v10.0 (2020). This note will be shown once per session. #> # A tibble: 3 × 4 #>   ab   name          standard_dosage  high_dosage  #>   <ab> <chr>         <chr>            <chr>        #> 1 TOB  Tobramycin    6-7 mg/kg x 1 iv NA           #> 2 GEN  Gentamicin    6-7 mg/kg x 1 iv NA           #> 3 CIP  Ciprofloxacin 0.4 g x 2 iv     0.4 g x 3 iv"},{"path":"https://msberends.github.io/AMR/reference/example_isolates.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with 2 000 Example Isolates — example_isolates","title":"Data Set with 2 000 Example Isolates — example_isolates","text":"data set containing 2 000 microbial isolates full antibiograms. data set contains randomised fictitious data, reflects reality can used practise AMR data analysis. examples, please read tutorial website.","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with 2 000 Example Isolates — example_isolates","text":"","code":"example_isolates"},{"path":"https://msberends.github.io/AMR/reference/example_isolates.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with 2 000 Example Isolates — example_isolates","text":"tibble 2 000 observations 46 variables: date Date receipt laboratory patient ID patient age Age patient gender Gender patient, either \"F\" \"M\" ward Ward type patient admitted, either \"Clinical\", \"ICU\", \"Outpatient\" mo ID microorganism created .mo(), see also microorganisms data set PEN:RIF 40 different antibiotics class sir (see .sir()); column names occur antibiotics data set can translated set_ab_names() ab_name()","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with 2 000 Example Isolates — example_isolates","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with 2 000 Example Isolates — example_isolates","text":"","code":"example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …"},{"path":"https://msberends.github.io/AMR/reference/example_isolates_unclean.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with Unclean Data — example_isolates_unclean","title":"Data Set with Unclean Data — example_isolates_unclean","text":"data set containing 3 000 microbial isolates cleaned consequently ready AMR data analysis. data set can used practice.","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates_unclean.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with Unclean Data — example_isolates_unclean","text":"","code":"example_isolates_unclean"},{"path":"https://msberends.github.io/AMR/reference/example_isolates_unclean.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with Unclean Data — example_isolates_unclean","text":"tibble 3 000 observations 8 variables: patient_id ID patient date date receipt laboratory hospital ID hospital, C bacteria info microorganism can transformed .mo(), see also microorganisms AMX:GEN 4 different antibiotics transformed .sir()","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates_unclean.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with Unclean Data — example_isolates_unclean","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/example_isolates_unclean.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with Unclean Data — example_isolates_unclean","text":"","code":"example_isolates_unclean #> # A tibble: 3,000 × 8 #>    patient_id hospital date       bacteria      AMX   AMC   CIP   GEN   #>    <chr>      <chr>    <date>     <chr>         <chr> <chr> <chr> <chr> #>  1 J3         A        2012-11-21 E. coli       R     I     S     S     #>  2 R7         A        2018-04-03 K. pneumoniae R     I     S     S     #>  3 P3         A        2014-09-19 E. coli       R     S     S     S     #>  4 P10        A        2015-12-10 E. coli       S     I     S     S     #>  5 B7         A        2015-03-02 E. coli       S     S     S     S     #>  6 W3         A        2018-03-31 S. aureus     R     S     R     S     #>  7 J8         A        2016-06-14 E. coli       R     S     S     S     #>  8 M3         A        2015-10-25 E. coli       R     S     S     S     #>  9 J3         A        2019-06-19 E. coli       S     S     S     S     #> 10 G6         A        2015-04-27 S. aureus     S     S     S     S     #> # ℹ 2,990 more rows"},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine First Isolates — first_isolate","title":"Determine First Isolates — first_isolate","text":"Determine first isolates microorganisms every patient per episode (needed) per specimen type. functions support four methods summarised Hindler et al. 2007 (doi:10.1086/511864 ). determine patient episodes necessarily based microorganisms, use is_new_episode() also supports grouping dplyr package.","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine First Isolates — first_isolate","text":"","code":"first_isolate(   x = NULL,   col_date = NULL,   col_patient_id = NULL,   col_mo = NULL,   col_testcode = NULL,   col_specimen = NULL,   col_icu = NULL,   col_keyantimicrobials = NULL,   episode_days = 365,   testcodes_exclude = NULL,   icu_exclude = FALSE,   specimen_group = NULL,   type = \"points\",   method = c(\"phenotype-based\", \"episode-based\", \"patient-based\", \"isolate-based\"),   ignore_I = TRUE,   points_threshold = 2,   info = interactive(),   include_unknown = FALSE,   include_untested_sir = TRUE,   ... )  filter_first_isolate(   x = NULL,   col_date = NULL,   col_patient_id = NULL,   col_mo = NULL,   episode_days = 365,   method = c(\"phenotype-based\", \"episode-based\", \"patient-based\", \"isolate-based\"),   ... )"},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Determine First Isolates — first_isolate","text":"Methodology function strictly based : M39 Analysis Presentation Cumulative Antimicrobial Susceptibility Test Data, 5th Edition, 2022, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/microbiology/documents/m39/. Hindler JF Stelling J (2007). Analysis Presentation Cumulative Antibiograms: New Consensus Guideline Clinical Laboratory Standards Institute. Clinical Infectious Diseases, 44(6), 867-873. doi:10.1086/511864","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine First Isolates — first_isolate","text":"x data.frame containing isolates. Can left blank automatic determination, see Examples. col_date column name result date (date received lab) - default first column date class col_patient_id column name unique IDs patients - default first column starts 'patient' 'patid' (case insensitive) col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). col_testcode column name test codes. Use col_testcode = NULL exclude certain test codes (test codes screening). case testcodes_exclude ignored. col_specimen column name specimen type group col_icu column name logicals (TRUE/FALSE) whether ward department Intensive Care Unit (ICU). can also logical vector length rows x. col_keyantimicrobials (useful method = \"phenotype-based\") column name key antimicrobials determine first isolates, see key_antimicrobials(). default first column starts 'key' followed 'ab' 'antibiotics' 'antimicrobials' (case insensitive). Use col_keyantimicrobials = FALSE prevent . Can also output key_antimicrobials(). episode_days episode days genus/species combination determined 'first isolate' . default 365 days based guideline CLSI, see Source. testcodes_exclude character vector test codes excluded (case-insensitive) icu_exclude logical indicate whether ICU isolates excluded (rows value TRUE column set col_icu) specimen_group value column set col_specimen filter type type determine weighed isolates; can \"keyantimicrobials\" \"points\", see Details method method apply, either \"phenotype-based\", \"episode-based\", \"patient-based\" \"isolate-based\" (can abbreviated), see Details. default \"phenotype-based\" antimicrobial test results present data, \"episode-based\" otherwise. ignore_I logical indicate whether antibiotic interpretations \"\" ignored type = \"keyantimicrobials\", see Details points_threshold minimum number points require differences antibiogram lead inclusion isolate type = \"points\", see Details info logical indicate info printed - default TRUE interactive mode include_unknown logical indicate whether 'unknown' microorganisms included , .e. microbial code \"UNKNOWN\", defaults FALSE. WHONET users, means records organism code \"con\" (contamination) excluded default. Isolates microbial ID NA always excluded first isolate. include_untested_sir logical indicate whether also rows without antibiotic results still eligible becoming first isolate. Use include_untested_sir = FALSE always return FALSE rows. checks data set columns class sir consequently requires transforming columns antibiotic results using .sir() first. ... arguments passed first_isolate() using filter_first_isolate(), otherwise arguments passed key_antimicrobials() (universal, gram_negative, gram_positive)","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine First Isolates — first_isolate","text":"logical vector","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Determine First Isolates — first_isolate","text":"conduct epidemiological analyses antimicrobial resistance data, -called first isolates included prevent overestimation underestimation antimicrobial resistance. Different methods can used , see . functions context-aware. means x argument can left blank used inside data.frame call, see Examples. first_isolate() function wrapper around is_new_episode() function, efficient data sets containing microorganism codes names. isolates microbial ID NA excluded first isolate.","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"different-methods","dir":"Reference","previous_headings":"","what":"Different methods","title":"Determine First Isolates — first_isolate","text":"According Hindler et al. (2007, doi:10.1086/511864 ), different methods (algorithms) select first isolates increasing reliability: isolate-based, patient-based, episode-based phenotype-based. methods select combination taxonomic genus species (subspecies). mentioned methods covered first_isolate() function:","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"isolate-based","dir":"Reference","previous_headings":"","what":"Isolate-based","title":"Determine First Isolates — first_isolate","text":"method require selection, isolates included. , however, respect arguments set first_isolate() function. example, default setting include_unknown (FALSE) omit selection rows without microbial ID.","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"patient-based","dir":"Reference","previous_headings":"","what":"Patient-based","title":"Determine First Isolates — first_isolate","text":"include every genus-species combination per patient , set episode_days Inf. Although often inappropriate, method makes sure duplicate isolates selected patient. large longitudinal data set, mean isolates excluded found years initial isolate.","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"episode-based","dir":"Reference","previous_headings":"","what":"Episode-based","title":"Determine First Isolates — first_isolate","text":"include every genus-species combination per patient episode , set episode_days sensible number days. Depending type analysis, 14, 30, 60 365. Short episodes common analysing specific hospital ward data, long episodes common analysing regional national data. common method correct duplicate isolates. Patients categorised episodes based ID dates (e.g., date specimen receipt laboratory result). common method, take account antimicrobial test results. means e.g. methicillin-resistant Staphylococcus aureus (MRSA) isolate differentiated wildtype Staphylococcus aureus isolate.","code":""},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"phenotype-based","dir":"Reference","previous_headings":"","what":"Phenotype-based","title":"Determine First Isolates — first_isolate","text":"reliable method, since also weighs antibiogram (antimicrobial test results) yielding -called 'first weighted isolates'. two different methods weigh antibiogram: Using type = \"points\" argument points_threshold (default) method weighs antimicrobial drugs available data set. difference S R (vice versa) counts 0.5 points, difference S R (vice versa) counts 1 point. sum points exceeds points_threshold, defaults 2, isolate selected first weighted isolate. antimicrobials internally selected using all_antimicrobials() function. output function need passed first_isolate() function. Using type = \"keyantimicrobials\" argument ignore_I method weighs specific antimicrobial drugs, called key antimicrobials. difference S R (vice versa) key antimicrobials select isolate first weighted isolate. ignore_I = FALSE, also differences S R (vice versa) lead . Key antimicrobials internally selected using key_antimicrobials() function, can also added manually variable data set col_keyantimicrobials argument. Another option pass output key_antimicrobials() function directly col_keyantimicrobials argument. default method phenotype-based (using type = \"points\") episode-based (using episode_days = 365). makes sure every genus-species combination selected per patient per year, taking account antimicrobial test results. antimicrobial test results available data set, episode-based method applied default.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/first_isolate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Determine First Isolates — first_isolate","text":"","code":"# `example_isolates` is a data set available in the AMR package. # See ?example_isolates.  example_isolates[first_isolate(info = TRUE), ] #> ℹ Determining first isolates using an episode length of 365 days #> ℹ Using column 'date' as input for col_date. #> ℹ Using column 'patient' as input for col_patient_id. #> ℹ Basing inclusion on all antimicrobial results, using a points threshold #>   of 2 #> ℹ Excluding 16 isolates with a microbial ID 'UNKNOWN' (in column 'mo') #> => Found 1,373 'phenotype-based' first isolates (68.7% of total where a #>    microbial ID was available) #> # A tibble: 1,373 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  3 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  4 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #>  5 2002-01-17 495616     67 M      Clinical B_STPHY_EPDR R     NA    S     NA    #>  6 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  7 2002-01-21 462081     75 F      Clinical B_CTRBC_FRND R     NA    NA    R     #>  8 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  9 2002-02-03 481442     76 M      ICU      B_STPHY_CONS R     NA    S     NA    #> 10 2002-02-05 023456     50 M      Clinical B_STPHY_HMNS S     NA    S     NA    #> # ℹ 1,363 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … # \\donttest{ # get all first Gram-negatives example_isolates[which(first_isolate(info = FALSE) & mo_is_gram_negative()), ] #> ℹ Using column 'mo' as input for mo_is_gram_negative() #> # A tibble: 434 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-21 462081     75 F      Clinical B_CTRBC_FRND R     NA    NA    R     #>  4 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  5 2002-02-05 067927     45 F      ICU      B_SERRT_MRCS R     NA    NA    R     #>  6 2002-02-27 066895     85 F      Clinical B_KLBSL_PNMN R     NA    NA    R     #>  7 2002-03-08 4FC193     69 M      Clinical B_ESCHR_COLI R     NA    NA    R     #>  8 2002-03-16 4FC193     69 M      Clinical B_PSDMN_AERG R     NA    NA    R     #>  9 2002-04-01 496896     46 F      ICU      B_ESCHR_COLI R     NA    NA    NA    #> 10 2002-04-23 EE2510     69 F      ICU      B_ESCHR_COLI R     NA    NA    NA    #> # ℹ 424 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  if (require(\"dplyr\")) {   # filter on first isolates using dplyr:   example_isolates %>%     filter(first_isolate(info = TRUE)) } #> ℹ Determining first isolates using an episode length of 365 days #> ℹ Basing inclusion on all antimicrobial results, using a points threshold #>   of 2 #> ℹ Excluding 16 isolates with a microbial ID 'UNKNOWN' (in column 'mo') #> => Found 1,373 'phenotype-based' first isolates (68.7% of total where a #>    microbial ID was available) #> # A tibble: 1,373 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  3 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  4 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #>  5 2002-01-17 495616     67 M      Clinical B_STPHY_EPDR R     NA    S     NA    #>  6 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  7 2002-01-21 462081     75 F      Clinical B_CTRBC_FRND R     NA    NA    R     #>  8 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  9 2002-02-03 481442     76 M      ICU      B_STPHY_CONS R     NA    S     NA    #> 10 2002-02-05 023456     50 M      Clinical B_STPHY_HMNS S     NA    S     NA    #> # ℹ 1,363 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … if (require(\"dplyr\")) {   # short-hand version:   example_isolates %>%     filter_first_isolate(info = FALSE) } #> # A tibble: 1,373 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  3 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  4 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #>  5 2002-01-17 495616     67 M      Clinical B_STPHY_EPDR R     NA    S     NA    #>  6 2002-01-19 738003     71 M      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  7 2002-01-21 462081     75 F      Clinical B_CTRBC_FRND R     NA    NA    R     #>  8 2002-01-22 F35553     50 M      ICU      B_PROTS_MRBL R     NA    NA    NA    #>  9 2002-02-03 481442     76 M      ICU      B_STPHY_CONS R     NA    S     NA    #> 10 2002-02-05 023456     50 M      Clinical B_STPHY_HMNS S     NA    S     NA    #> # ℹ 1,363 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … if (require(\"dplyr\")) {   # flag the first isolates per group:   example_isolates %>%     group_by(ward) %>%     mutate(first = first_isolate(info = TRUE)) %>%     select(ward, date, patient, mo, first) } #> ℹ Determining first isolates using an episode length of 365 days #> ℹ Basing inclusion on all antimicrobial results, using a points threshold #>   of 2 #>  #> Group: ward = \"Clinical\" #> ℹ Excluding 9 isolates with a microbial ID 'UNKNOWN' (in column 'mo') #> => Found 857 'phenotype-based' first isolates (69.4% of total where a #>    microbial ID was available) #>  #> Group: ward = \"ICU\" #> ℹ Excluding 6 isolates with a microbial ID 'UNKNOWN' (in column 'mo') #> => Found 447 'phenotype-based' first isolates (69.2% of total where a #>    microbial ID was available) #>  #> Group: ward = \"Outpatient\" #> ℹ Excluding 1 isolates with a microbial ID 'UNKNOWN' (in column 'mo') #> => Found 98 'phenotype-based' first isolates (81.7% of total where a #>    microbial ID was available) #> # A tibble: 2,000 × 5 #> # Groups:   ward [3] #>    ward     date       patient mo           first #>    <chr>    <date>     <chr>   <mo>         <lgl> #>  1 Clinical 2002-01-02 A77334  B_ESCHR_COLI TRUE  #>  2 Clinical 2002-01-03 A77334  B_ESCHR_COLI FALSE #>  3 ICU      2002-01-07 067927  B_STPHY_EPDR TRUE  #>  4 ICU      2002-01-07 067927  B_STPHY_EPDR FALSE #>  5 ICU      2002-01-13 067927  B_STPHY_EPDR FALSE #>  6 ICU      2002-01-13 067927  B_STPHY_EPDR FALSE #>  7 Clinical 2002-01-14 462729  B_STPHY_AURS TRUE  #>  8 Clinical 2002-01-14 462729  B_STPHY_AURS FALSE #>  9 ICU      2002-01-16 067927  B_STPHY_EPDR FALSE #> 10 ICU      2002-01-17 858515  B_STPHY_EPDR TRUE  #> # ℹ 1,990 more rows # }"},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":null,"dir":"Reference","previous_headings":"","what":"G-test for Count Data — g.test","title":"G-test for Count Data — g.test","text":"g.test() performs chi-squared contingency table tests goodness--fit tests, just like chisq.test() reliable (1). G-test can used see whether number observations category fits theoretical expectation (called G-test goodness--fit), see whether proportions one variable different different values variable (called G-test independence).","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"G-test for Count Data — g.test","text":"","code":"g.test(x, y = NULL, p = rep(1/length(x), length(x)), rescale.p = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"G-test for Count Data — g.test","text":"code function identical chisq.test(), except : calculation statistic changed \\(2 * sum(x * log(x / E))\\) Yates' continuity correction removed apply G-test possibility simulate p values simulate.p.value removed","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"G-test for Count Data — g.test","text":"x numeric vector matrix. x y can also     factors. y numeric vector; ignored x matrix.      x factor, y factor length. p vector probabilities length x.     error given entry p negative. rescale.p logical scalar; TRUE p rescaled     (necessary) sum 1.  rescale.p FALSE,     p sum 1, error given.","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"G-test for Count Data — g.test","text":"list class \"htest\" containing following   components: statistic value chi-squared test statistic. parameter degrees freedom approximate     chi-squared distribution test statistic, NA     p-value computed Monte Carlo simulation. p.value p-value test. method character string indicating type test     performed, whether Monte Carlo simulation continuity     correction used. data.name character string giving name(s) data. observed observed counts. expected expected counts null hypothesis. residuals Pearson residuals,     (observed - expected) / sqrt(expected). stdres standardized residuals,     (observed - expected) / sqrt(V), V residual cell variance (Agresti, 2007,     section 2.4.5 case x matrix, n * p * (1 - p) otherwise).","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"G-test for Count Data — g.test","text":"x matrix one row column, x vector y given, goodness--fit test performed (x treated one-dimensional contingency table). entries x must non-negative integers. case, hypothesis tested whether population probabilities equal p, equal p given. x matrix least two rows columns, taken two-dimensional contingency table: entries x must non-negative integers.  Otherwise, x y must vectors factors length; cases missing values removed, objects coerced factors, contingency table computed .  Pearson's chi-squared test performed null hypothesis joint distribution cell counts 2-dimensional contingency table product row column marginals. p-value computed asymptotic chi-squared distribution test statistic. contingency table case simulation done random sampling set contingency tables given marginals, works marginals strictly positive. Note usual sampling situation assumed chi-squared test (G-test) rather Fisher's exact test. goodness--fit case simulation done random sampling discrete distribution specified p, sample size n = sum(x). simulation done R may slow.","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"g-test-of-goodness-of-fit-likelihood-ratio-test-","dir":"Reference","previous_headings":"","what":"G-test Of Goodness-of-Fit (Likelihood Ratio Test)","title":"G-test for Count Data — g.test","text":"Use G-test goodness--fit one nominal variable two values (male female, red, pink white flowers). compare observed counts numbers observations category expected counts, calculate using kind theoretical expectation (1:1 sex ratio 1:2:1 ratio genetic cross). expected number observations category small, G-test may give inaccurate results, use exact test instead (fisher.test()). G-test goodness--fit alternative chi-square test goodness--fit (chisq.test()); tests advantages disadvantages, results two tests usually similar.","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"g-test-of-independence","dir":"Reference","previous_headings":"","what":"G-test of Independence","title":"G-test for Count Data — g.test","text":"Use G-test independence two nominal variables, two possible values. want know whether proportions one variable different among values variable. also possible G-test independence two nominal variables. example, Jackson et al. (2013) also data children 3, analysis old vs. young, thigh vs. arm, reaction vs. reaction, analyzed together. Fisher's exact test (fisher.test()) exact test, G-test still approximation. 2x2 table, Fisher's Exact test may slower still run seconds, even sum observations multiple millions. G-test independence alternative chi-square test independence (chisq.test()), give approximately results.","code":""},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"how-the-test-works","dir":"Reference","previous_headings":"","what":"How the Test Works","title":"G-test for Count Data — g.test","text":"Unlike exact test goodness--fit (fisher.test()), G-test directly calculate probability obtaining observed results something extreme. Instead, like almost statistical tests, G-test intermediate step; uses data calculate test statistic measures far observed data null expectation. use mathematical relationship, case chi-square distribution, estimate probability obtaining value test statistic. G-test uses log ratio two likelihoods test statistic, also called likelihood ratio test log-likelihood ratio test. formula calculate G-statistic : \\(G = 2 * sum(x * log(x / E))\\) E expected values. Since chi-square distributed, p value can calculated R :   df degrees freedom. two categories want find ones significantly different null expectation, can use method testing category vs. sum categories, Bonferroni correction. use G-tests category, course.","code":"p <- stats::pchisq(G, df, lower.tail = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"G-test for Count Data — g.test","text":"McDonald, J.H. 2014. Handbook Biological Statistics (3rd ed.). Sparky House Publishing, Baltimore, Maryland. http://www.biostathandbook.com/gtestgof.html.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/g.test.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"G-test for Count Data — g.test","text":"","code":"# = EXAMPLE 1 = # Shivrain et al. (2006) crossed clearfield rice (which are resistant # to the herbicide imazethapyr) with red rice (which are susceptible to # imazethapyr). They then crossed the hybrid offspring and examined the # F2 generation, where they found 772 resistant plants, 1611 moderately # resistant plants, and 737 susceptible plants. If resistance is controlled # by a single gene with two co-dominant alleles, you would expect a 1:2:1 # ratio.  x <- c(772, 1611, 737) g.test(x, p = c(1, 2, 1) / 4) #>  #> \tG-test of goodness-of-fit (likelihood ratio test) #>  #> data:  x #> X-squared = 4.1471, p-value = 0.1257 #>   # There is no significant difference from a 1:2:1 ratio. # Meaning: resistance controlled by a single gene with two co-dominant # alleles, is plausible.   # = EXAMPLE 2 = # Red crossbills (Loxia curvirostra) have the tip of the upper bill either # right or left of the lower bill, which helps them extract seeds from pine # cones. Some have hypothesized that frequency-dependent selection would # keep the number of right and left-billed birds at a 1:1 ratio. Groth (1992) # observed 1752 right-billed and 1895 left-billed crossbills.  x <- c(1752, 1895) g.test(x) #>  #> \tG-test of goodness-of-fit (likelihood ratio test) #>  #> data:  x #> X-squared = 5.6085, p-value = 0.01787 #>   # There is a significant difference from a 1:1 ratio. # Meaning: there are significantly more left-billed birds."},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine Clinical or Epidemic Episodes — get_episode","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"functions determine items vector can considered (start ) new episode. can used determine clinical episodes epidemiological analysis. get_episode() function returns index number episode per group, is_new_episode() function returns TRUE every new get_episode() index. absolute relative episode determination supported.","code":""},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"","code":"get_episode(x, episode_days = NULL, case_free_days = NULL, ...)  is_new_episode(x, episode_days = NULL, case_free_days = NULL, ...)"},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"x vector dates (class Date POSIXt), sorted internally determine episodes episode_days episode length days specify time period new episode begins, can also less day Inf, see Details case_free_days (inter-epidemic) interval length days new episode start, can also less day Inf, see Details ... ignored, place allow future extensions","code":""},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"get_episode(): integer vector is_new_episode(): logical vector","code":""},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"Episodes can determined two ways: absolute relative. Absolute method uses episode_days define episode length days, new episode start. common use case AMR data analysis microbial epidemiology: episodes S. aureus bacteraemia ICU patients example. episode length 30 days, new S. aureus isolates ICU episode 30 days considered different (new) episode. Thus, method counts since start previous episode. Relative method uses case_free_days quantify duration case-free days (inter-epidemic interval), new episode start. common use case infectious disease epidemiology: episodes norovirus outbreaks hospital example. case-free period 14 days, new norovirus cases time considered different (new) episode. Thus, methods counts since last case previous episode. table: ** marks start new episode, 8 January 2023 7 days since start previous episode (1 January 2023).  *** marks start new episode, 21 January 2023 7 days since last case previous episode (8 January 2023). Either episode_days case_free_days must provided function.","code":""},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"difference-between-get-episode-and-is-new-episode-","dir":"Reference","previous_headings":"","what":"Difference between get_episode() and is_new_episode()","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"get_episode() function returns index number episode, cases/patients/isolates first episode number 1, cases/patients/isolates second episode number 2, etc. is_new_episode() function hand, returns TRUE every new get_episode() index. specify, setting episode_days = 365 (using method 1 explained ), two functions differ:","code":""},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"other","dir":"Reference","previous_headings":"","what":"Other","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"first_isolate() function wrapper around is_new_episode() function, efficient data sets containing microorganism codes names allows different isolate selection methods. dplyr package required functions work, episode functions support variable grouping work conveniently inside dplyr verbs filter(), mutate() summarise().","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/get_episode.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Determine Clinical or Epidemic Episodes — get_episode","text":"","code":"# difference between absolute and relative determination of episodes: x <- data.frame(dates = as.Date(c(   \"2021-01-01\",   \"2021-01-02\",   \"2021-01-05\",   \"2021-01-08\",   \"2021-02-21\",   \"2021-02-22\",   \"2021-02-23\",   \"2021-02-24\",   \"2021-03-01\",   \"2021-03-01\" ))) x$absolute <- get_episode(x$dates, episode_days = 7) x$relative <- get_episode(x$dates, case_free_days = 7) x #>         dates absolute relative #> 1  2021-01-01        1        1 #> 2  2021-01-02        1        1 #> 3  2021-01-05        1        1 #> 4  2021-01-08        2        1 #> 5  2021-02-21        3        2 #> 6  2021-02-22        3        2 #> 7  2021-02-23        3        2 #> 8  2021-02-24        3        2 #> 9  2021-03-01        4        2 #> 10 2021-03-01        4        2   # `example_isolates` is a data set available in the AMR package. # See ?example_isolates df <- example_isolates[sample(seq_len(2000), size = 100), ]  get_episode(df$date, episode_days = 60) # indices #>   [1] 29 45 31 14 41 39 26 40 18 36 15 39 18 45 32 27 10  2 13 24 43 12  8  5  3 #>  [26] 12 31  9 16  4  1 26 32 27 21 45 42 17 16 21  8  4 30  1 17 25 34  5 10  1 #>  [51] 18 44 33  4  6 12 43  2 43 45 37 33 18 38 45 36 46  4 35 40 12  7 11 23 10 #>  [76] 35 20  4  5 29 27 41 12 30 45 18 46 22 28 39 19 27 45 16  4 21 40 39 39 10 is_new_episode(df$date, episode_days = 60) # TRUE/FALSE #>   [1]  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE FALSE #>  [13] FALSE FALSE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE #>  [25]  TRUE FALSE FALSE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE  TRUE FALSE #>  [37]  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE  TRUE FALSE #>  [49] FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE #>  [61]  TRUE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE  TRUE #>  [73]  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE #>  [85] FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE #>  [97] FALSE FALSE FALSE FALSE  # filter on results from the third 60-day episode only, using base R df[which(get_episode(df$date, 60) == 3), ] #> # A tibble: 1 × 46 #>   date       patient   age gender ward  mo           PEN   OXA   FLC   AMX   #>   <date>     <chr>   <dbl> <chr>  <chr> <mo>         <sir> <sir> <sir> <sir> #> 1 2002-12-13 285137     78 F      ICU   B_ESCHR_COLI R     NA    NA    NA    #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, RIF <sir>  # the functions also work for less than a day, e.g. to include one per hour: get_episode(   c(     Sys.time(),     Sys.time() + 60 * 60   ),   episode_days = 1 / 24 ) #> [1] 1 2  # \\donttest{ if (require(\"dplyr\")) {   # is_new_episode() can also be used in dplyr verbs to determine patient   # episodes based on any (combination of) grouping variables:   df %>%     mutate(condition = sample(       x = c(\"A\", \"B\", \"C\"),       size = 100,       replace = TRUE     )) %>%     group_by(patient, condition) %>%     mutate(new_episode = is_new_episode(date, 365)) %>%     select(patient, date, condition, new_episode) %>%     arrange(patient, condition, date) } #> # A tibble: 100 × 4 #> # Groups:   patient, condition [99] #>    patient date       condition new_episode #>    <chr>   <date>     <chr>     <lgl>       #>  1 036063  2010-01-28 A         TRUE        #>  2 077922  2009-08-18 A         TRUE        #>  3 080086  2010-08-08 B         TRUE        #>  4 0DBF93  2015-10-12 A         TRUE        #>  5 105248  2005-06-16 B         TRUE        #>  6 114570  2003-04-08 C         TRUE        #>  7 119392  2010-11-01 B         TRUE        #>  8 161740  2005-06-21 B         TRUE        #>  9 174209  2011-10-03 A         TRUE        #> 10 210105  2009-06-13 B         TRUE        #> # ℹ 90 more rows  if (require(\"dplyr\")) {   df %>%     group_by(ward, patient) %>%     transmute(date,       patient,       new_index = get_episode(date, 60),       new_logical = is_new_episode(date, 60)     ) %>%     arrange(patient, ward, date) } #> # A tibble: 100 × 5 #> # Groups:   ward, patient [96] #>    ward       date       patient new_index new_logical #>    <chr>      <date>     <chr>       <int> <lgl>       #>  1 Clinical   2010-01-28 036063          1 TRUE        #>  2 Clinical   2009-08-18 077922          1 TRUE        #>  3 Clinical   2010-08-08 080086          1 TRUE        #>  4 Clinical   2015-10-12 0DBF93          1 TRUE        #>  5 Clinical   2005-06-16 105248          1 TRUE        #>  6 ICU        2003-04-08 114570          1 TRUE        #>  7 Clinical   2010-11-01 119392          1 TRUE        #>  8 Clinical   2005-06-21 161740          1 TRUE        #>  9 Outpatient 2011-10-03 174209          1 TRUE        #> 10 Clinical   2009-06-13 210105          1 TRUE        #> # ℹ 90 more rows  if (require(\"dplyr\")) {   df %>%     group_by(ward) %>%     summarise(       n_patients = n_distinct(patient),       n_episodes_365 = sum(is_new_episode(date, episode_days = 365)),       n_episodes_60 = sum(is_new_episode(date, episode_days = 60)),       n_episodes_30 = sum(is_new_episode(date, episode_days = 30))     ) } #> # A tibble: 3 × 5 #>   ward       n_patients n_episodes_365 n_episodes_60 n_episodes_30 #>   <chr>           <int>          <int>         <int>         <int> #> 1 Clinical           63             12            35            45 #> 2 ICU                24              9            17            21 #> 3 Outpatient          9              7             7             9  # grouping on patients and microorganisms leads to the same # results as first_isolate() when using 'episode-based': if (require(\"dplyr\")) {   x <- df %>%     filter_first_isolate(       include_unknown = TRUE,       method = \"episode-based\"     )    y <- df %>%     group_by(patient, mo) %>%     filter(is_new_episode(date, 365)) %>%     ungroup()    identical(x, y) } #> [1] TRUE  # but is_new_episode() has a lot more flexibility than first_isolate(), # since you can now group on anything that seems relevant: if (require(\"dplyr\")) {   df %>%     group_by(patient, mo, ward) %>%     mutate(flag_episode = is_new_episode(date, 365)) %>%     select(group_vars(.), flag_episode) } #> # A tibble: 100 × 4 #> # Groups:   patient, mo, ward [96] #>    patient mo           ward     flag_episode #>    <chr>   <mo>         <chr>    <lgl>        #>  1 686445  B_STPHY_CONS Clinical TRUE         #>  2 D39422  B_KLBSL_PNMN Clinical TRUE         #>  3 298662  B_ESCHR_COLI Clinical TRUE         #>  4 5B78D5  B_STPHY_AURS Clinical TRUE         #>  5 E52625  B_STRPT_PNMN Clinical TRUE         #>  6 645121  B_SERRT_MRCS Clinical TRUE         #>  7 807228  B_STRPT_PNMN Clinical TRUE         #>  8 D41749  B_ESCHR_COLI ICU      TRUE         #>  9 210105  B_ENTRC      Clinical TRUE         #> 10 789292  B_STRPT_SLVR Clinical TRUE         #> # ℹ 90 more rows # }"},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":null,"dir":"Reference","previous_headings":"","what":"PCA Biplot with ggplot2 — ggplot_pca","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"Produces ggplot2 variant -called biplot PCA (principal component analysis), flexible appealing base R biplot() function.","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"","code":"ggplot_pca(   x,   choices = 1:2,   scale = 1,   pc.biplot = TRUE,   labels = NULL,   labels_textsize = 3,   labels_text_placement = 1.5,   groups = NULL,   ellipse = TRUE,   ellipse_prob = 0.68,   ellipse_size = 0.5,   ellipse_alpha = 0.5,   points_size = 2,   points_alpha = 0.25,   arrows = TRUE,   arrows_colour = \"darkblue\",   arrows_size = 0.5,   arrows_textsize = 3,   arrows_textangled = TRUE,   arrows_alpha = 0.75,   base_textsize = 10,   ... )"},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"ggplot_pca() function based ggbiplot() function ggbiplot package Vince Vu, found GitHub: https://github.com/vqv/ggbiplot (retrieved: 2 March 2020, latest commit: 7325e88; 12 February 2015). per GPL-2 licence demands documentation code changes, changes made based source code : Rewritten code remove dependency packages plyr, scales grid Parametrised options, like arrow ellipse settings Hardened input possibilities defining exact type user input every argument Added total amount explained variance caption plot Cleaned syntax based lintr package, fixed grammatical errors added integrity checks Updated documentation","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"x object returned pca(), prcomp() princomp() choices length 2 vector specifying components plot. default     biplot strict sense. scale variables scaled lambda ^ scale     observations scaled lambda ^ (1-scale)     lambda singular values computed     princomp. Normally 0 <= scale <= 1, warning     issued specified scale outside range. pc.biplot true, use Gabriel (1971) refers \"principal component     biplot\", lambda = 1 observations scaled sqrt(n)     variables scaled sqrt(n).  inner products     variables approximate covariances distances observations     approximate Mahalanobis distance. labels optional vector labels observations. set, labels placed respective points. using pca() function input x, determined automatically based attribute non_numeric_cols, see pca(). labels_textsize size text used labels labels_text_placement adjustment factor placement variable names (>=1 means away arrow head) groups optional vector groups labels, length labels. set, points labels coloured according groups. using pca() function input x, determined automatically based attribute non_numeric_cols, see pca(). ellipse logical indicate whether normal data ellipse drawn group (set groups) ellipse_prob statistical size ellipse normal probability ellipse_size size ellipse line ellipse_alpha alpha (transparency) ellipse line points_size size points points_alpha alpha (transparency) points arrows logical indicate whether arrows drawn arrows_colour colour arrow text arrows_size size (thickness) arrow lines arrows_textsize size text end arrows arrows_textangled logical whether text end arrows angled arrows_alpha alpha (transparency) arrows text base_textsize text size plot elements except labels arrows ... arguments passed functions","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"colours labels points can changed adding another scale layer colour, scale_colour_viridis_d() scale_colour_brewer().","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_pca.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"PCA Biplot with ggplot2 — ggplot_pca","text":"","code":"# `example_isolates` is a data set available in the AMR package. # See ?example_isolates.  # \\donttest{ if (require(\"dplyr\")) {   # calculate the resistance per group first   resistance_data <- example_isolates %>%     group_by(       order = mo_order(mo), # group on anything, like order       genus = mo_genus(mo)     ) %>% #   and genus as we do here;     filter(n() >= 30) %>% # filter on only 30 results per group     summarise_if(is.sir, resistance) # then get resistance of all drugs    # now conduct PCA for certain antimicrobial drugs   pca_result <- resistance_data %>%     pca(AMC, CXM, CTX, CAZ, GEN, TOB, TMP, SXT)    summary(pca_result)    # old base R plotting method:   biplot(pca_result, main = \"Base R biplot\")    # new ggplot2 plotting method using this package:   if (require(\"ggplot2\")) {     ggplot_pca(pca_result) +       labs(title = \"ggplot2 biplot\")   }   if (require(\"ggplot2\")) {     # still extendible with any ggplot2 function     ggplot_pca(pca_result) +       scale_colour_viridis_d() +       labs(title = \"ggplot2 biplot\")   } } #> Warning: There were 73 warnings in `summarise()`. #> The first warning was: #> ℹ In argument: `PEN = (function (..., minimum = 30, as_percent = FALSE, #>   only_all_tested = FALSE) ...`. #> ℹ In group 5: `order = \"Lactobacillales\"` and `genus = \"Enterococcus\"`. #> Caused by warning: #> ! Introducing NA: only 14 results available for PEN in group: order = #> \"Lactobacillales\", genus = \"Enterococcus\" (minimum = 30). #> ℹ Run `dplyr::last_dplyr_warnings()` to see the 72 remaining warnings. #> ℹ Columns selected for PCA: \"AMC\", \"CAZ\", \"CTX\", \"CXM\", \"GEN\", \"SXT\", #>   \"TMP\", and \"TOB\". Total observations available: 7. #> Groups (n=4, named as 'order'): #> [1] \"Caryophanales\"    \"Enterobacterales\" \"Lactobacillales\"  \"Pseudomonadales\"  #>    # }"},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":null,"dir":"Reference","previous_headings":"","what":"AMR Plots with ggplot2 — ggplot_sir","title":"AMR Plots with ggplot2 — ggplot_sir","text":"Use functions create bar plots AMR data analysis. functions rely ggplot2 functions.","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"AMR Plots with ggplot2 — ggplot_sir","text":"","code":"ggplot_sir(   data,   position = NULL,   x = \"antibiotic\",   fill = \"interpretation\",   facet = NULL,   breaks = seq(0, 1, 0.1),   limits = NULL,   translate_ab = \"name\",   combine_SI = TRUE,   minimum = 30,   language = get_AMR_locale(),   nrow = NULL,   colours = c(S = \"#3CAEA3\", SI = \"#3CAEA3\", I = \"#F6D55C\", IR = \"#ED553B\", R =     \"#ED553B\"),   datalabels = TRUE,   datalabels.size = 2.5,   datalabels.colour = \"grey15\",   title = NULL,   subtitle = NULL,   caption = NULL,   x.title = \"Antimicrobial\",   y.title = \"Proportion\",   ... )  geom_sir(   position = NULL,   x = c(\"antibiotic\", \"interpretation\"),   fill = \"interpretation\",   translate_ab = \"name\",   minimum = 30,   language = get_AMR_locale(),   combine_SI = TRUE,   ... )  facet_sir(facet = c(\"interpretation\", \"antibiotic\"), nrow = NULL)  scale_y_percent(breaks = seq(0, 1, 0.1), limits = NULL)  scale_sir_colours(..., aesthetics = \"fill\")  theme_sir()  labels_sir_count(   position = NULL,   x = \"antibiotic\",   translate_ab = \"name\",   minimum = 30,   language = get_AMR_locale(),   combine_SI = TRUE,   datalabels.size = 3,   datalabels.colour = \"grey15\" )"},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"AMR Plots with ggplot2 — ggplot_sir","text":"data data.frame column(s) class sir (see .sir()) position position adjustment bars, either \"fill\", \"stack\" \"dodge\" x variable show x axis, either \"antibiotic\" (default) \"interpretation\" grouping variable fill variable categorise using plots legend, either \"antibiotic\" (default) \"interpretation\" grouping variable facet variable split plots , either \"interpretation\" (default) \"antibiotic\" grouping variable breaks numeric vector positions limits numeric vector length two providing limits scale, use NA refer existing minimum maximum translate_ab column name antibiotics data set translate antibiotic abbreviations , using ab_property() combine_SI logical indicate whether values S must merged one, output consists S+vs. R (susceptible vs. resistant) - default TRUE minimum minimum allowed number available (tested) isolates. isolate count lower minimum return NA warning. default number 30 isolates advised Clinical Laboratory Standards Institute (CLSI) best practice, see Source. language language returned text - default current system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. nrow (using facet) number rows colours named vactor colour used filling. default colours colour-blind friendly. datalabels show datalabels using labels_sir_count() datalabels.size size datalabels datalabels.colour colour datalabels title text show title plot subtitle text show subtitle plot caption text show caption plot x.title text show x axis description y.title text show y axis description ... arguments passed geom_sir() , case scale_sir_colours(), named values set colours. default colours colour-blind friendly, maintaining convention e.g. 'susceptible' green 'resistant' red. See Examples. aesthetics aesthetics apply colours - default \"fill\" can also (combination ) \"alpha\", \"colour\", \"fill\", \"linetype\", \"shape\" \"size\"","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"AMR Plots with ggplot2 — ggplot_sir","text":"default, names antibiotics shown plots using ab_name(). can set translate_ab argument. See count_df().","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":"the-functions","dir":"Reference","previous_headings":"","what":"The Functions","title":"AMR Plots with ggplot2 — ggplot_sir","text":"geom_sir() take variable data sir class (created .sir()) using sir_df() plot bars percentage S, , R. default behaviour bars stacked different antibiotics x axis. facet_sir() creates 2d plots (default based S//R) using ggplot2::facet_wrap(). scale_y_percent() transforms y axis 0 100% range using ggplot2::scale_y_continuous(). scale_sir_colours() sets colours bars (green S, yellow , red R). multilingual support. default colours colour-blind friendly, maintaining convention e.g. 'susceptible' green 'resistant' red. theme_sir() [ggplot2 theme][ggplot2::theme() minimal distraction. labels_sir_count() print datalabels bars percentage amount isolates using ggplot2::geom_text(). ggplot_sir() wrapper around functions uses data first input. makes possible use function pipe (%>%). See Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/ggplot_sir.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"AMR Plots with ggplot2 — ggplot_sir","text":"","code":"# \\donttest{ if (require(\"ggplot2\") && require(\"dplyr\")) {   # get antimicrobial results for drugs against a UTI:   ggplot(example_isolates %>% select(AMX, NIT, FOS, TMP, CIP)) +     geom_sir() }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # prettify the plot using some additional functions:   df <- example_isolates %>% select(AMX, NIT, FOS, TMP, CIP)   ggplot(df) +     geom_sir() +     scale_y_percent() +     scale_sir_colours() +     labels_sir_count() +     theme_sir() }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # or better yet, simplify this using the wrapper function - a single command:   example_isolates %>%     select(AMX, NIT, FOS, TMP, CIP) %>%     ggplot_sir() }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # get only proportions and no counts:   example_isolates %>%     select(AMX, NIT, FOS, TMP, CIP) %>%     ggplot_sir(datalabels = FALSE) }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # add other ggplot2 arguments as you like:   example_isolates %>%     select(AMX, NIT, FOS, TMP, CIP) %>%     ggplot_sir(       width = 0.5,       colour = \"black\",       size = 1,       linetype = 2,       alpha = 0.25     ) }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # you can alter the colours with colour names:   example_isolates %>%     select(AMX) %>%     ggplot_sir(colours = c(SI = \"yellow\")) }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # but you can also use the built-in colour-blind friendly colours for   # your plots, where \"S\" is green, \"I\" is yellow and \"R\" is red:   data.frame(     x = c(\"Value1\", \"Value2\", \"Value3\"),     y = c(1, 2, 3),     z = c(\"Value4\", \"Value5\", \"Value6\")   ) %>%     ggplot() +     geom_col(aes(x = x, y = y, fill = z)) +     scale_sir_colours(Value4 = \"S\", Value5 = \"I\", Value6 = \"R\") }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # resistance of ciprofloxacine per age group   example_isolates %>%     mutate(first_isolate = first_isolate()) %>%     filter(       first_isolate == TRUE,       mo == as.mo(\"Escherichia coli\")     ) %>%     # age_groups() is also a function in this AMR package:     group_by(age_group = age_groups(age)) %>%     select(age_group, CIP) %>%     ggplot_sir(x = \"age_group\") } #> Warning: Removed 6 rows containing missing values or values outside the scale range #> (`geom_col()`). #> Warning: Removed 6 rows containing missing values or values outside the scale range #> (`geom_text()`).  if (require(\"ggplot2\") && require(\"dplyr\")) {   # a shorter version which also adjusts data label colours:   example_isolates %>%     select(AMX, NIT, FOS, TMP, CIP) %>%     ggplot_sir(colours = FALSE) }  if (require(\"ggplot2\") && require(\"dplyr\")) {   # it also supports groups (don't forget to use the group var on `x` or `facet`):   example_isolates %>%     filter(mo_is_gram_negative(), ward != \"Outpatient\") %>%     # select only UTI-specific drugs     select(ward, AMX, NIT, FOS, TMP, CIP) %>%     group_by(ward) %>%     ggplot_sir(       x = \"ward\",       facet = \"antibiotic\",       nrow = 1,       title = \"AMR of Anti-UTI Drugs Per Ward\",       x.title = \"Ward\",       datalabels = FALSE     ) } #> ℹ Using column 'mo' as input for mo_is_gram_negative()  # }"},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":null,"dir":"Reference","previous_headings":"","what":"Guess Antibiotic Column — guess_ab_col","title":"Guess Antibiotic Column — guess_ab_col","text":"tries find column name data set based information antibiotics data set. Also supports WHONET abbreviations.","code":""},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Guess Antibiotic Column — guess_ab_col","text":"","code":"guess_ab_col(   x = NULL,   search_string = NULL,   verbose = FALSE,   only_sir_columns = FALSE )"},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Guess Antibiotic Column — guess_ab_col","text":"x data.frame search_string text search x , checked .ab() value column x verbose logical indicate whether additional info printed only_sir_columns logical indicate whether antibiotic columns must detected transformed class sir (see .sir()) beforehand (default FALSE)","code":""},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Guess Antibiotic Column — guess_ab_col","text":"column name x, NULL result found.","code":""},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Guess Antibiotic Column — guess_ab_col","text":"can look antibiotic (trade) name abbreviation search x antibiotics data set column containing name code antibiotic.","code":""},{"path":"https://msberends.github.io/AMR/reference/guess_ab_col.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Guess Antibiotic Column — guess_ab_col","text":"","code":"df <- data.frame(   amox = \"S\",   tetr = \"R\" )  guess_ab_col(df, \"amoxicillin\") #> [1] \"amox\" guess_ab_col(df, \"J01AA07\") # ATC code of tetracycline #> [1] \"tetr\"  guess_ab_col(df, \"J01AA07\", verbose = TRUE) #> Auto-guessing columns suitable for analysis #> ... #>  OK. #> ℹ Using column 'amox' as input for AMX (amoxicillin). #> ℹ Using column 'tetr' as input for TCY (tetracycline). #> ℹ Using column 'tetr' as input for J01AA07 (tetracycline). #> [1] \"tetr\" # NOTE: Using column 'tetr' as input for J01AA07 (tetracycline).  # WHONET codes df <- data.frame(   AMP_ND10 = \"R\",   AMC_ED20 = \"S\" ) guess_ab_col(df, \"ampicillin\") #> [1] \"AMP_ND10\" guess_ab_col(df, \"J01CR02\") #> [1] \"AMC_ED20\" guess_ab_col(df, as.ab(\"augmentin\")) #> [1] \"AMC_ED20\""},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"Data set containing defined intrinsic resistance EUCAST bug-drug combinations.","code":""},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"","code":"intrinsic_resistant"},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"tibble 134 634 observations 2 variables: mo Microorganism ID ab Antibiotic ID","code":""},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"data set based 'EUCAST Expert Rules' 'EUCAST Intrinsic Resistance Unusual Phenotypes' v3.3 (2021).","code":""},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":"direct-download","dir":"Reference","previous_headings":"","what":"Direct download","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository. allow machine reading EUCAST CLSI guidelines, almost impossible MS Excel PDF files distributed EUCAST CLSI.","code":""},{"path":"https://msberends.github.io/AMR/reference/intrinsic_resistant.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant","text":"","code":"intrinsic_resistant #> # A tibble: 134,634 × 2 #>    mo      ab    #>    <mo>    <chr> #>  1 B_GRAMP ATM   #>  2 B_GRAMP COL   #>  3 B_GRAMP NAL   #>  4 B_GRAMP PLB   #>  5 B_GRAMP TEM   #>  6 B_ABTRP ATM   #>  7 B_ABTRP COL   #>  8 B_ABTRP NAL   #>  9 B_ABTRP PLB   #> 10 B_ABTRP TEM   #> # ℹ 134,624 more rows"},{"path":"https://msberends.github.io/AMR/reference/italicise_taxonomy.html","id":null,"dir":"Reference","previous_headings":"","what":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","title":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","text":"According binomial nomenclature, lowest four taxonomic levels (family, genus, species, subspecies) printed italics. function finds taxonomic names within strings makes italic.","code":""},{"path":"https://msberends.github.io/AMR/reference/italicise_taxonomy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","text":"","code":"italicise_taxonomy(string, type = c(\"markdown\", \"ansi\", \"html\"))  italicize_taxonomy(string, type = c(\"markdown\", \"ansi\", \"html\"))"},{"path":"https://msberends.github.io/AMR/reference/italicise_taxonomy.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","text":"string character (vector) type type conversion taxonomic names, either \"markdown\", \"html\" \"ansi\", see Details","code":""},{"path":"https://msberends.github.io/AMR/reference/italicise_taxonomy.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","text":"function finds taxonomic names makes italic based microorganisms data set. taxonomic names can italicised using markdown (default) adding * taxonomic names, <> <\/> using html. using 'ansi', ANSI colours added using \\033[3m \\033[23m taxonomic names. multiple ANSI colours available, conversion occur. function also supports abbreviation genus followed species, \"E. coli\" \"K. pneumoniae ozaenae\".","code":""},{"path":"https://msberends.github.io/AMR/reference/italicise_taxonomy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy","text":"","code":"italicise_taxonomy(\"An overview of Staphylococcus aureus isolates\") #> [1] \"An overview of *Staphylococcus aureus* isolates\" italicise_taxonomy(\"An overview of S. aureus isolates\") #> [1] \"An overview of *S. aureus* isolates\"  cat(italicise_taxonomy(\"An overview of S. aureus isolates\", type = \"ansi\")) #> An overview of S. aureus isolates"},{"path":"https://msberends.github.io/AMR/reference/join.html","id":null,"dir":"Reference","previous_headings":"","what":"Join microorganisms to a Data Set — join","title":"Join microorganisms to a Data Set — join","text":"Join data set microorganisms easily existing data set character vector.","code":""},{"path":"https://msberends.github.io/AMR/reference/join.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Join microorganisms to a Data Set — join","text":"","code":"inner_join_microorganisms(x, by = NULL, suffix = c(\"2\", \"\"), ...)  left_join_microorganisms(x, by = NULL, suffix = c(\"2\", \"\"), ...)  right_join_microorganisms(x, by = NULL, suffix = c(\"2\", \"\"), ...)  full_join_microorganisms(x, by = NULL, suffix = c(\"2\", \"\"), ...)  semi_join_microorganisms(x, by = NULL, ...)  anti_join_microorganisms(x, by = NULL, ...)"},{"path":"https://msberends.github.io/AMR/reference/join.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Join microorganisms to a Data Set — join","text":"x existing data set join, character vector. case character vector, resulting data.frame contain column 'x' values. variable join - left empty search column class mo (created .mo()) \"mo\" column name exists x, otherwise column name x values exist microorganisms$mo (= \"bacteria_id\"), another column microorganisms (named, like = c(\"bacteria_id\" = \"fullname\")) suffix non-joined duplicate variables x y, suffixes added output disambiguate . character vector length 2. ... ignored, place allow future extensions","code":""},{"path":"https://msberends.github.io/AMR/reference/join.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Join microorganisms to a Data Set — join","text":"data.frame","code":""},{"path":"https://msberends.github.io/AMR/reference/join.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Join microorganisms to a Data Set — join","text":"Note: opposed join() functions dplyr, character vectors supported default existing columns get suffix \"2\" newly joined columns get suffix. dplyr package installed, join functions used. Otherwise, much slower merge() interaction() functions base R used.","code":""},{"path":"https://msberends.github.io/AMR/reference/join.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Join microorganisms to a Data Set — join","text":"","code":"left_join_microorganisms(as.mo(\"K. pneumoniae\")) #> # A tibble: 1 × 23 #>   mo           fullname   status kingdom phylum class order family genus species #>   <mo>         <chr>      <chr>  <chr>   <chr>  <chr> <chr> <chr>  <chr> <chr>   #> 1 B_KLBSL_PNMN Klebsiell… accep… Bacter… Pseud… Gamm… Ente… Enter… Kleb… pneumo… #> # ℹ 13 more variables: subspecies <chr>, rank <chr>, ref <chr>, #> #   oxygen_tolerance <chr>, source <chr>, lpsn <chr>, lpsn_parent <chr>, #> #   lpsn_renamed_to <chr>, gbif <chr>, gbif_parent <chr>, #> #   gbif_renamed_to <chr>, prevalence <dbl>, snomed <list> left_join_microorganisms(\"B_KLBSL_PNMN\") #> # A tibble: 1 × 23 #>   mo           fullname   status kingdom phylum class order family genus species #>   <mo>         <chr>      <chr>  <chr>   <chr>  <chr> <chr> <chr>  <chr> <chr>   #> 1 B_KLBSL_PNMN Klebsiell… accep… Bacter… Pseud… Gamm… Ente… Enter… Kleb… pneumo… #> # ℹ 13 more variables: subspecies <chr>, rank <chr>, ref <chr>, #> #   oxygen_tolerance <chr>, source <chr>, lpsn <chr>, lpsn_parent <chr>, #> #   lpsn_renamed_to <chr>, gbif <chr>, gbif_parent <chr>, #> #   gbif_renamed_to <chr>, prevalence <dbl>, snomed <list>  df <- data.frame(   date = seq(     from = as.Date(\"2018-01-01\"),     to = as.Date(\"2018-01-07\"),     by = 1   ),   bacteria = as.mo(c(     \"S. aureus\", \"MRSA\", \"MSSA\", \"STAAUR\",     \"E. coli\", \"E. coli\", \"E. coli\"   )),   stringsAsFactors = FALSE ) colnames(df) #> [1] \"date\"     \"bacteria\"  df_joined <- left_join_microorganisms(df, \"bacteria\") colnames(df_joined) #>  [1] \"date\"             \"bacteria\"         \"fullname\"         \"status\"           #>  [5] \"kingdom\"          \"phylum\"           \"class\"            \"order\"            #>  [9] \"family\"           \"genus\"            \"species\"          \"subspecies\"       #> [13] \"rank\"             \"ref\"              \"oxygen_tolerance\" \"source\"           #> [17] \"lpsn\"             \"lpsn_parent\"      \"lpsn_renamed_to\"  \"gbif\"             #> [21] \"gbif_parent\"      \"gbif_renamed_to\"  \"prevalence\"       \"snomed\"            # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     left_join_microorganisms() %>%     colnames() } #> Joining, by = \"mo\" #>  [1] \"date\"             \"patient\"          \"age\"              \"gender\"           #>  [5] \"ward\"             \"mo\"               \"PEN\"              \"OXA\"              #>  [9] \"FLC\"              \"AMX\"              \"AMC\"              \"AMP\"              #> [13] \"TZP\"              \"CZO\"              \"FEP\"              \"CXM\"              #> [17] \"FOX\"              \"CTX\"              \"CAZ\"              \"CRO\"              #> [21] \"GEN\"              \"TOB\"              \"AMK\"              \"KAN\"              #> [25] \"TMP\"              \"SXT\"              \"NIT\"              \"FOS\"              #> [29] \"LNZ\"              \"CIP\"              \"MFX\"              \"VAN\"              #> [33] \"TEC\"              \"TCY\"              \"TGC\"              \"DOX\"              #> [37] \"ERY\"              \"CLI\"              \"AZM\"              \"IPM\"              #> [41] \"MEM\"              \"MTR\"              \"CHL\"              \"COL\"              #> [45] \"MUP\"              \"RIF\"              \"fullname\"         \"status\"           #> [49] \"kingdom\"          \"phylum\"           \"class\"            \"order\"            #> [53] \"family\"           \"genus\"            \"species\"          \"subspecies\"       #> [57] \"rank\"             \"ref\"              \"oxygen_tolerance\" \"source\"           #> [61] \"lpsn\"             \"lpsn_parent\"      \"lpsn_renamed_to\"  \"gbif\"             #> [65] \"gbif_parent\"      \"gbif_renamed_to\"  \"prevalence\"       \"snomed\"           # }"},{"path":"https://msberends.github.io/AMR/reference/key_antimicrobials.html","id":null,"dir":"Reference","previous_headings":"","what":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","title":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","text":"functions can used determine first weighted isolates considering phenotype isolate selection (see first_isolate()). Using phenotype-based method determine first isolates reliable methods disregard phenotypes.","code":""},{"path":"https://msberends.github.io/AMR/reference/key_antimicrobials.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","text":"","code":"key_antimicrobials(   x = NULL,   col_mo = NULL,   universal = c(\"ampicillin\", \"amoxicillin/clavulanic acid\", \"cefuroxime\",     \"piperacillin/tazobactam\", \"ciprofloxacin\", \"trimethoprim/sulfamethoxazole\"),   gram_negative = c(\"gentamicin\", \"tobramycin\", \"colistin\", \"cefotaxime\", \"ceftazidime\",     \"meropenem\"),   gram_positive = c(\"vancomycin\", \"teicoplanin\", \"tetracycline\", \"erythromycin\",     \"oxacillin\", \"rifampin\"),   antifungal = c(\"anidulafungin\", \"caspofungin\", \"fluconazole\", \"miconazole\", \"nystatin\",     \"voriconazole\"),   only_sir_columns = FALSE,   ... )  all_antimicrobials(x = NULL, only_sir_columns = FALSE, ...)  antimicrobials_equal(   y,   z,   type = c(\"points\", \"keyantimicrobials\"),   ignore_I = TRUE,   points_threshold = 2,   ... )"},{"path":"https://msberends.github.io/AMR/reference/key_antimicrobials.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","text":"x data.frame antibiotics columns, like AMX amox. Can left blank determine automatically col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). universal names broad-spectrum antimicrobial drugs, case-insensitive. Set NULL ignore. See Details default antimicrobial drugs gram_negative names antibiotic drugs Gram-positives, case-insensitive. Set NULL ignore. See Details default antibiotic drugs gram_positive names antibiotic drugs Gram-negatives, case-insensitive. Set NULL ignore. See Details default antibiotic drugs antifungal names antifungal drugs fungi, case-insensitive. Set NULL ignore. See Details default antifungal drugs only_sir_columns logical indicate whether columns must included transformed class sir (see .sir()) beforehand (default FALSE) ... ignored, place allow future extensions y, z character vectors compare type type determine weighed isolates; can \"keyantimicrobials\" \"points\", see Details ignore_I logical indicate whether antibiotic interpretations \"\" ignored type = \"keyantimicrobials\", see Details points_threshold minimum number points require differences antibiogram lead inclusion isolate type = \"points\", see Details","code":""},{"path":"https://msberends.github.io/AMR/reference/key_antimicrobials.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","text":"key_antimicrobials() all_antimicrobials() functions context-aware. means x argument can left blank used inside data.frame call, see Examples. function key_antimicrobials() returns character vector 12 antimicrobial results every isolate. function all_antimicrobials() returns character vector antimicrobial drug results every isolate. vectors can compared using antimicrobials_equal(), check two isolates generally antibiogram. Missing invalid values replaced dot (\".\") key_antimicrobials() ignored antimicrobials_equal(). Please see first_isolate() function important functions enable 'phenotype-based' method determination first isolates. default antimicrobial drugs used rows (set universal) : Ampicillin Amoxicillin/clavulanic acid Cefuroxime Ciprofloxacin Piperacillin/tazobactam Trimethoprim/sulfamethoxazole default antimicrobial drugs used Gram-negative bacteria (set gram_negative) : Cefotaxime Ceftazidime Colistin Gentamicin Meropenem Tobramycin default antimicrobial drugs used Gram-positive bacteria (set gram_positive) : Erythromycin Oxacillin Rifampin Teicoplanin Tetracycline Vancomycin default antimicrobial drugs used fungi (set antifungal) : Anidulafungin Caspofungin Fluconazole Miconazole Nystatin Voriconazole","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/key_antimicrobials.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials","text":"","code":"# `example_isolates` is a data set available in the AMR package. # See ?example_isolates.  # output of the `key_antimicrobials()` function could be like this: strainA <- \"SSSRR.S.R..S\" strainB <- \"SSSIRSSSRSSS\"  # those strings can be compared with: antimicrobials_equal(strainA, strainB, type = \"keyantimicrobials\") #> [1] TRUE # TRUE, because I is ignored (as well as missing values)  antimicrobials_equal(strainA, strainB, type = \"keyantimicrobials\", ignore_I = FALSE) #> [1] FALSE # FALSE, because I is not ignored and so the 4th [character] differs  # \\donttest{ if (require(\"dplyr\")) {   # set key antibiotics to a new variable   my_patients <- example_isolates %>%     mutate(keyab = key_antimicrobials(antifungal = NULL)) %>% # no need to define `x`     mutate(       # now calculate first isolates       first_regular = first_isolate(col_keyantimicrobials = FALSE),       # and first WEIGHTED isolates       first_weighted = first_isolate(col_keyantimicrobials = \"keyab\")     )    # Check the difference in this data set, 'weighted' results in more isolates:   sum(my_patients$first_regular, na.rm = TRUE)   sum(my_patients$first_weighted, na.rm = TRUE) } #> [1] 1376 # }"},{"path":"https://msberends.github.io/AMR/reference/kurtosis.html","id":null,"dir":"Reference","previous_headings":"","what":"Kurtosis of the Sample — kurtosis","title":"Kurtosis of the Sample — kurtosis","text":"Kurtosis measure \"tailedness\" probability distribution real-valued random variable. normal distribution kurtosis 3 excess kurtosis 0.","code":""},{"path":"https://msberends.github.io/AMR/reference/kurtosis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Kurtosis of the Sample — kurtosis","text":"","code":"kurtosis(x, na.rm = FALSE, excess = FALSE)  # S3 method for default kurtosis(x, na.rm = FALSE, excess = FALSE)  # S3 method for matrix kurtosis(x, na.rm = FALSE, excess = FALSE)  # S3 method for data.frame kurtosis(x, na.rm = FALSE, excess = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/kurtosis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Kurtosis of the Sample — kurtosis","text":"x vector values, matrix data.frame na.rm logical indicate whether NA values stripped computation proceeds excess logical indicate whether excess kurtosis returned, defined kurtosis minus 3.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/kurtosis.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Kurtosis of the Sample — kurtosis","text":"","code":"kurtosis(rnorm(10000)) #> [1] 3.021297 kurtosis(rnorm(10000), excess = TRUE) #> [1] 0.08143396"},{"path":"https://msberends.github.io/AMR/reference/like.html","id":null,"dir":"Reference","previous_headings":"","what":"Vectorised Pattern Matching with Keyboard Shortcut — like","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"Convenient wrapper around grepl() match pattern: x %like% pattern. always returns logical vector always case-insensitive (use x %like_case% pattern case-sensitive matching). Also, pattern can long x compare items index vectors, can length iterate cases.","code":""},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"","code":"like(x, pattern, ignore.case = TRUE)  x %like% pattern  x %unlike% pattern  x %like_case% pattern  x %unlike_case% pattern"},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"Idea like function data.table package, although altered explained Details.","code":""},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"x character vector matches sought, object can coerced .character() character vector. pattern character vector containing regular expressions (character string fixed = TRUE) matched given character vector. Coerced .character() character string possible. ignore.case FALSE, pattern matching case sensitive TRUE, case ignored matching.","code":""},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"logical vector","code":""},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"like() %like%/%unlike% functions: case-insensitive (use %like_case%/%unlike_case% case-sensitive matching) Support multiple patterns Check pattern valid regular expression sets fixed = TRUE , greatly improve speed (vectorised pattern) Always use compatibility Perl unless fixed = TRUE, greatly improve speed Using RStudio? %like%/%unlike% functions can also directly inserted code Addins menu can keyboard shortcut like Shift+Ctrl+L Shift+Cmd+L (see menu Tools > Modify Keyboard Shortcuts...). keep pressing shortcut, inserted text iterated %like% -> %unlike% -> %like_case% -> %unlike_case%.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/like.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Vectorised Pattern Matching with Keyboard Shortcut — like","text":"","code":"# data.table has a more limited version of %like%, so unload it: try(detach(\"package:data.table\", unload = TRUE), silent = TRUE)  a <- \"This is a test\" b <- \"TEST\" a %like% b #> [1] TRUE b %like% a #> [1] FALSE  # also supports multiple patterns a <- c(\"Test case\", \"Something different\", \"Yet another thing\") b <- c(\"case\", \"diff\", \"yet\") a %like% b #> [1] TRUE TRUE TRUE a %unlike% b #> [1] FALSE FALSE FALSE  a[1] %like% b #> [1]  TRUE FALSE FALSE a %like% b[1] #> [1]  TRUE FALSE FALSE  # \\donttest{ # get isolates whose name start with 'Entero' (case-insensitive) example_isolates[which(mo_name() %like% \"^entero\"), ] #> ℹ Using column 'mo' as input for mo_name() #> # A tibble: 106 × 46 #>    date       patient   age gender ward    mo            PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>   <mo>          <sir> <sir> <sir> <sir> #>  1 2002-02-21 4FC193     69 M      Clinic… B_ENTRC_FACM  NA    NA    NA    NA    #>  2 2002-04-08 130252     78 M      ICU     B_ENTRC_FCLS  NA    NA    NA    NA    #>  3 2002-06-23 798871     82 M      Clinic… B_ENTRC_FCLS  NA    NA    NA    NA    #>  4 2002-06-23 798871     82 M      Clinic… B_ENTRC_FCLS  NA    NA    NA    NA    #>  5 2003-04-20 6BC362     62 M      ICU     B_ENTRC       NA    NA    NA    NA    #>  6 2003-04-21 6BC362     62 M      ICU     B_ENTRC       NA    NA    NA    NA    #>  7 2003-08-13 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #>  8 2003-08-13 F35553     52 M      ICU     B_ENTRC_FCLS  NA    NA    NA    NA    #>  9 2003-09-05 F35553     52 M      ICU     B_ENTRC       NA    NA    NA    NA    #> 10 2003-09-05 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #> # ℹ 96 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …  if (require(\"dplyr\")) {   example_isolates %>%     filter(mo_name() %like% \"^ent\") } #> ℹ Using column 'mo' as input for mo_name() #> # A tibble: 106 × 46 #>    date       patient   age gender ward    mo            PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>   <mo>          <sir> <sir> <sir> <sir> #>  1 2002-02-21 4FC193     69 M      Clinic… B_ENTRC_FACM  NA    NA    NA    NA    #>  2 2002-04-08 130252     78 M      ICU     B_ENTRC_FCLS  NA    NA    NA    NA    #>  3 2002-06-23 798871     82 M      Clinic… B_ENTRC_FCLS  NA    NA    NA    NA    #>  4 2002-06-23 798871     82 M      Clinic… B_ENTRC_FCLS  NA    NA    NA    NA    #>  5 2003-04-20 6BC362     62 M      ICU     B_ENTRC       NA    NA    NA    NA    #>  6 2003-04-21 6BC362     62 M      ICU     B_ENTRC       NA    NA    NA    NA    #>  7 2003-08-13 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #>  8 2003-08-13 F35553     52 M      ICU     B_ENTRC_FCLS  NA    NA    NA    NA    #>  9 2003-09-05 F35553     52 M      ICU     B_ENTRC       NA    NA    NA    NA    #> 10 2003-09-05 F35553     52 M      ICU     B_ENTRBC_CLOC R     NA    NA    R     #> # ℹ 96 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, … # }"},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"Determine isolates multidrug-resistant organisms (MDRO) according international, national custom guidelines.","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"","code":"mdro(   x = NULL,   guideline = \"CMI2012\",   col_mo = NULL,   info = interactive(),   pct_required_classes = 0.5,   combine_SI = TRUE,   verbose = FALSE,   only_sir_columns = FALSE,   ... )  custom_mdro_guideline(..., as_factor = TRUE)  brmo(x = NULL, only_sir_columns = FALSE, ...)  mrgn(x = NULL, only_sir_columns = FALSE, ...)  mdr_tb(x = NULL, only_sir_columns = FALSE, ...)  mdr_cmi2012(x = NULL, only_sir_columns = FALSE, ...)  eucast_exceptional_phenotypes(x = NULL, only_sir_columns = FALSE, ...)"},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"See supported guidelines list publications used function.","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"x data.frame antibiotics columns, like AMX amox. Can left blank automatic determination. guideline specific guideline follow, see sections Supported international / national guidelines Using Custom Guidelines . left empty, publication Magiorakos et al. (see ) followed. col_mo column name names codes microorganisms (see .mo()) - default first column class mo. Values coerced using .mo(). info logical indicate whether progress printed console - default print interactive sessions pct_required_classes minimal required percentage antimicrobial classes must available per isolate, rounded . example, default guideline, 17 antimicrobial classes must available S. aureus. Setting pct_required_classes argument 0.5 (default) means every S. aureus isolate least 8 different classes must available. lower number available classes return NA isolate. combine_SI logical indicate whether values S must merged one, resistance considered isolates R, . default behaviour mdro() function, follows redefinition EUCAST interpretation (increased exposure) 2019, see section 'Interpretation S, R' . using combine_SI = FALSE, resistance considered isolates R . verbose logical turn Verbose mode (default ). Verbose mode, function return MDRO results, instead returns data set logbook form extensive info isolates MDRO-positive, . only_sir_columns logical indicate whether antibiotic columns must detected transformed class sir (see .sir()) beforehand (default FALSE) ... case custom_mdro_guideline(): set rules, see section Using Custom Guidelines . Otherwise: column name antibiotic, see section Antibiotics . as_factor logical indicate whether returned value ordered factor (TRUE, default), otherwise character vector","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"CMI 2012 paper - function mdr_cmi2012() mdro(): Ordered factor levels Negative < Multi-drug-resistant (MDR) < Extensively drug-resistant (XDR) < Pandrug-resistant (PDR) TB guideline - function mdr_tb() mdro(..., guideline = \"TB\"): Ordered factor levels Negative < Mono-resistant < Poly-resistant < Multi-drug-resistant < Extensively drug-resistant German guideline - function mrgn() mdro(..., guideline = \"MRGN\"): Ordered factor levels Negative < 3MRGN < 4MRGN Everything else, except custom guidelines: Ordered factor levels Negative < Positive, unconfirmed < Positive. value \"Positive, unconfirmed\" means , according guideline, entirely sure isolate multi-drug resistant confirmed additional (e.g. molecular) tests","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"functions context-aware. means x argument can left blank used inside data.frame call, see Examples. pct_required_classes argument, values 1 divided 100. support fractions (0.75 3/4) percentages (75). Note: Every test involves Enterobacteriaceae family, internally performed using newly named order Enterobacterales, since Enterobacteriaceae family taxonomically reclassified Adeolu et al. 2016. , Enterobacteriaceae family Enterobacteriales () order. species old Enterobacteriaceae family still new Enterobacterales (without ) order, divided multiple families. way tests performed now mdro() function makes sure results 2016 2016 identical.","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"supported-international-national-guidelines","dir":"Reference","previous_headings":"","what":"Supported International / National Guidelines","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"Currently supported guidelines (case-insensitive): guideline = \"CMI2012\" (default) Magiorakos AP, Srinivasan et al. \"Multidrug-resistant, extensively drug-resistant pandrug-resistant bacteria: international expert proposal interim standard definitions acquired resistance.\" Clinical Microbiology Infection (2012) (doi:10.1111/j.1469-0691.2011.03570.x ) guideline = \"EUCAST3.3\" (simply guideline = \"EUCAST\") European international guideline - EUCAST Expert Rules Version 3.3 \"Intrinsic Resistance Unusual Phenotypes\" (link) guideline = \"EUCAST3.2\" European international guideline - EUCAST Expert Rules Version 3.2 \"Intrinsic Resistance Unusual Phenotypes\" (link) guideline = \"EUCAST3.1\" European international guideline - EUCAST Expert Rules Version 3.1 \"Intrinsic Resistance Exceptional Phenotypes Tables\" (link) guideline = \"TB\" international guideline multi-drug resistant tuberculosis - World Health Organization \"Companion handbook guidelines programmatic management drug-resistant tuberculosis\" (link) guideline = \"MRGN\" German national guideline - Mueller et al. (2015) Antimicrobial Resistance Infection Control 4:7; doi:10.1186/s13756-015-0047-6 guideline = \"BRMO\" Dutch national guideline - Rijksinstituut voor Volksgezondheid en Milieu \"WIP-richtlijn BRMO (Bijzonder Resistente Micro-Organismen) (ZKH)\" (link) Please suggest (country-specific) guidelines letting us know: https://github.com/msberends/AMR/issues/new.","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"using-custom-guidelines","dir":"Reference","previous_headings":"","what":"Using Custom Guidelines","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"Custom guidelines can set custom_mdro_guideline() function. great importance custom rules determine MDROs hospital, e.g., rules dependent ward, state contact isolation variables data. familiar case_when() function dplyr package, recognise input method set rules. Rules must set using R considers 'formula notation'. rule written tilde (~) consequence rule written tilde:   row/isolate matches first rule, value first ~ (case 'Elderly Type ') set MDRO value. Otherwise, second rule tried . number rules unlimited. can print rules set console overview. Colours help reading console supports colours.   outcome function can used guideline argument mdro() function:   Rules can also combined custom rules using c():   rules set (custom object case) exported shared file location using saveRDS() collaborate multiple users. custom rules set imported using readRDS().","code":"custom <- custom_mdro_guideline(CIP == \"R\" & age > 60 ~ \"Elderly Type A\",                                 ERY == \"R\" & age > 60 ~ \"Elderly Type B\") custom #> A set of custom MDRO rules: #>   1. CIP is \"R\" and age is higher than 60 -> Elderly Type A #>   2. ERY is \"R\" and age is higher than 60 -> Elderly Type B #>   3. Otherwise -> Negative #> #> Unmatched rows will return NA. x <- mdro(example_isolates,           guideline = custom) table(x) #>       Negative Elderly Type A Elderly Type B #>           1070            198            732 x <- mdro(example_isolates,           guideline = c(custom,                         custom_mdro_guideline(ERY == \"R\" & age > 50 ~ \"Elderly Type C\"))) table(x) #>       Negative Elderly Type A Elderly Type B Elderly Type C #>            961            198            732            109"},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"antibiotics","dir":"Reference","previous_headings":"","what":"Antibiotics","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"define antibiotics column names, leave determine automatically guess_ab_col() input text (case-insensitive), use NULL skip column (e.g. TIC = NULL skip ticarcillin). Manually defined non-existing columns skipped warning. following antibiotics eligible functions eucast_rules() mdro(). shown format 'name (antimicrobial ID, ATC code)', sorted alphabetically: Amikacin (AMK, J01GB06), amoxicillin (AMX, J01CA04), amoxicillin/clavulanic acid (AMC, J01CR02), ampicillin (AMP, J01CA01), ampicillin/sulbactam (SAM, J01CR01), apramycin (APR, QA07AA92), arbekacin (ARB, J01GB12), aspoxicillin (APX, J01CA19), azidocillin (AZD, J01CE04), azithromycin (AZM, J01FA10), azlocillin (AZL, J01CA09), aztreonam (ATM, J01DF01), bacampicillin (BAM, J01CA06), bekanamycin (BEK, J01GB13), benzathine benzylpenicillin (BNB, J01CE08), benzathine phenoxymethylpenicillin (BNP, J01CE10), benzylpenicillin (PEN, J01CE01), besifloxacin (BES, S01AE08), biapenem (BIA, J01DH05), carbenicillin (CRB, J01CA03), carindacillin (CRN, J01CA05), cefacetrile (CAC, J01DB10), cefaclor (CEC, J01DC04), cefadroxil (CFR, J01DB05), cefalexin (LEX, J01DB01), cefaloridine (RID, J01DB02), cefalotin (CEP, J01DB03), cefamandole (MAN, J01DC03), cefapirin (HAP, J01DB08), cefatrizine (CTZ, J01DB07), cefazedone (CZD, J01DB06), cefazolin (CZO, J01DB04), cefcapene (CCP, J01DD17), cefdinir (CDR, J01DD15), cefditoren (DIT, J01DD16), cefepime (FEP, J01DE01), cefetamet (CAT, J01DD10), cefixime (CFM, J01DD08), cefmenoxime (CMX, J01DD05), cefmetazole (CMZ, J01DC09), cefodizime (DIZ, J01DD09), cefonicid (CID, J01DC06), cefoperazone (CFP, J01DD12), cefoperazone/sulbactam (CSL, J01DD62), ceforanide (CND, J01DC11), cefotaxime (CTX, J01DD01), cefotaxime/clavulanic acid (CTC, J01DD51), cefotetan (CTT, J01DC05), cefotiam (CTF, J01DC07), cefovecin (FOV, QJ01DD91), cefoxitin (FOX, J01DC01), cefozopran (ZOP, J01DE03), cefpiramide (CPM, J01DD11), cefpirome (CPO, J01DE02), cefpodoxime (CPD, J01DD13), cefprozil (CPR, J01DC10), cefquinome (CEQ, QG51AA07), cefroxadine (CRD, J01DB11), cefsulodin (CFS, J01DD03), ceftaroline (CPT, J01DI02), ceftazidime (CAZ, J01DD02), ceftazidime/clavulanic acid (CCV, J01DD52), cefteram (CEM, J01DD18), ceftezole (CTL, J01DB12), ceftibuten (CTB, J01DD14), ceftiofur (TIO, QJ01DD90), ceftizoxime (CZX, J01DD07), ceftobiprole medocaril (CFM1, J01DI01), ceftolozane/tazobactam (CZT, J01DI54), ceftriaxone (CRO, J01DD04), ceftriaxone/beta-lactamase inhibitor (CEB, J01DD63), cefuroxime (CXM, J01DC02), cephradine (CED, J01DB09), chloramphenicol (CHL, J01BA01), ciprofloxacin (CIP, J01MA02), clarithromycin (CLR, J01FA09), clindamycin (CLI, J01FF01), clometocillin (CLM, J01CE07), cloxacillin (CLO, J01CF02), colistin (COL, J01XB01), cycloserine (CYC, J04AB01), dalbavancin (DAL, J01XA04), danofloxacin (DAN, QJ01MA92), daptomycin (DAP, J01XX09), delafloxacin (DFX, J01MA23), dibekacin (DKB, J01GB09), dicloxacillin (DIC, J01CF01), difloxacin (DIF, QJ01MA94), dirithromycin (DIR, J01FA13), doripenem (DOR, J01DH04), doxycycline (DOX, J01AA02), enoxacin (ENX, J01MA04), enrofloxacin (ENR, QJ01MA90), epicillin (EPC, J01CA07), ertapenem (ETP, J01DH03), erythromycin (ERY, J01FA01), fleroxacin (FLE, J01MA08), flucloxacillin (FLC, J01CF05), flurithromycin (FLR1, J01FA14), fosfomycin (FOS, J01XX01), framycetin (FRM, D09AA01), fusidic acid (FUS, J01XC01), gamithromycin (GAM, QJ01FA95), garenoxacin (GRN, J01MA19), gatifloxacin (GAT, J01MA16), gemifloxacin (GEM, J01MA15), gentamicin (GEN, J01GB03), grepafloxacin (GRX, J01MA11), hetacillin (HET, J01CA18), imipenem (IPM, J01DH51), imipenem/relebactam (IMR, J01DH56), isepamicin (ISE, J01GB11), josamycin (JOS, J01FA07), kanamycin (KAN, J01GB04), kitasamycin (KIT, QJ01FA93), lascufloxacin (LSC, J01MA25), latamoxef (LTM, J01DD06), levofloxacin (LVX, J01MA12), levonadifloxacin (LND, J01MA24), lincomycin (LIN, J01FF02), linezolid (LNZ, J01XX08), lomefloxacin (LOM, J01MA07), loracarbef (LOR, J01DC08), marbofloxacin (MAR, QJ01MA93), mecillinam (MEC, J01CA11), meropenem (MEM, J01DH02), meropenem/vaborbactam (MEV, J01DH52), metampicillin (MTM, J01CA14), meticillin (MET, J01CF03), mezlocillin (MEZ, J01CA10), micronomicin (MCR, S01AA22), midecamycin (MID, J01FA03), minocycline (MNO, J01AA08), miocamycin (MCM, J01FA11), moxifloxacin (MFX, J01MA14), nadifloxacin (NAD, D10AF05), nafcillin (NAF, J01CF06), nalidixic acid (NAL, J01MB02), neomycin (NEO, J01GB05), netilmicin (NET, J01GB07), nitrofurantoin (NIT, J01XE01), norfloxacin (, J01MA06), novobiocin (NOV, QJ01XX95), ofloxacin (OFX, J01MA01), oleandomycin (OLE, J01FA05), orbifloxacin (ORB, QJ01MA95), oritavancin (ORI, J01XA05), oxacillin (OXA, J01CF04), panipenem (PAN, J01DH55), pazufloxacin (PAZ, J01MA18), pefloxacin (PEF, J01MA03), penamecillin (PNM, J01CE06), pheneticillin (PHE, J01CE05), phenoxymethylpenicillin (PHN, J01CE02), piperacillin (PIP, J01CA12), piperacillin/tazobactam (TZP, J01CR05), pirlimycin (PRL, QJ51FF90), pivampicillin (PVM, J01CA02), pivmecillinam (PME, J01CA08), plazomicin (PLZ, J01GB14), polymyxin B (PLB, J01XB02), pradofloxacin (PRA, QJ01MA97), pristinamycin (PRI, J01FG01), procaine benzylpenicillin (PRB, J01CE09), propicillin (PRP, J01CE03), prulifloxacin (PRU, J01MA17), quinupristin/dalfopristin (QDA, QJ01FG02), ribostamycin (RST, J01GB10), rifampicin (RIF, J04AB02), rokitamycin (ROK, J01FA12), roxithromycin (RXT, J01FA06), rufloxacin (RFL, J01MA10), sarafloxacin (SAR, QJ01MA98), sisomicin (SIS, J01GB08), sitafloxacin (SIT, J01MA21), solithromycin (SOL, J01FA16), sparfloxacin (SPX, J01MA09), spiramycin (SPI, J01FA02), streptoduocin (STR, J01GA02), streptomycin (STR1, J01GA01), sulbactam (SUL, J01CG01), sulbenicillin (SBC, J01CA16), sulfadiazine (SDI, J01EC02), sulfadiazine/trimethoprim (SLT1, J01EE02), sulfadimethoxine (SUD, J01ED01), sulfadimidine (SDM, J01EB03), sulfadimidine/trimethoprim (SLT2, J01EE05), sulfafurazole (SLF, J01EB05), sulfaisodimidine (SLF1, J01EB01), sulfalene (SLF2, J01ED02), sulfamazone (SZO, J01ED09), sulfamerazine (SLF3, J01ED07), sulfamerazine/trimethoprim (SLT3, J01EE07), sulfamethizole (SLF4, J01EB02), sulfamethoxazole (SMX, J01EC01), sulfamethoxypyridazine (SLF5, J01ED05), sulfametomidine (SLF6, J01ED03), sulfametoxydiazine (SLF7, J01ED04), sulfametrole/trimethoprim (SLT4, J01EE03), sulfamoxole (SLF8, J01EC03), sulfamoxole/trimethoprim (SLT5, J01EE04), sulfanilamide (SLF9, J01EB06), sulfaperin (SLF10, J01ED06), sulfaphenazole (SLF11, J01ED08), sulfapyridine (SLF12, J01EB04), sulfathiazole (SUT, J01EB07), sulfathiourea (SLF13, J01EB08), sultamicillin (SLT6, J01CR04), talampicillin (TAL, J01CA15), tazobactam (TAZ, J01CG02), tebipenem (TBP, J01DH06), tedizolid (TZD, J01XX11), teicoplanin (TEC, J01XA02), telavancin (TLV, J01XA03), telithromycin (TLT, J01FA15), temafloxacin (TMX, J01MA05), temocillin (TEM, J01CA17), tetracycline (TCY, J01AA07), ticarcillin (TIC, J01CA13), ticarcillin/clavulanic acid (TCC, J01CR03), tigecycline (TGC, J01AA12), tilbroquinol (TBQ, P01AA05), tildipirosin (TIP, QJ01FA96), tilmicosin (TIL, QJ01FA91), tobramycin (TOB, J01GB01), tosufloxacin (TFX, J01MA22), trimethoprim (TMP, J01EA01), trimethoprim/sulfamethoxazole (SXT, J01EE01), troleandomycin (TRL, J01FA08), trovafloxacin (TVA, J01MA13), tulathromycin (TUL, QJ01FA94), tylosin (TYL, QJ01FA90), tylvalosin (TYL1, QJ01FA92), vancomycin (VAN, J01XA01)","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"interpretation-of-sir","dir":"Reference","previous_headings":"","what":"Interpretation of SIR","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"2019, European Committee Antimicrobial Susceptibility Testing (EUCAST) decided change definitions susceptibility testing categories S, , R shown (https://www.eucast.org/newsiandr): S - Susceptible, standard dosing regimen microorganism categorised \"Susceptible, standard dosing regimen\", high likelihood therapeutic success using standard dosing regimen agent. - Susceptible, increased exposure  microorganism categorised \"Susceptible, Increased exposure\" high likelihood therapeutic success exposure agent increased adjusting dosing regimen concentration site infection. R = Resistant microorganism categorised \"Resistant\" high likelihood therapeutic failure even increased exposure. Exposure function mode administration, dose, dosing interval, infusion time, well distribution excretion antimicrobial agent influence infecting organism site infection. AMR package honours insight. Use susceptibility() (equal proportion_SI()) determine antimicrobial susceptibility count_susceptible() (equal count_SI()) count susceptible isolates.","code":""},{"path":"https://msberends.github.io/AMR/reference/mdro.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Determine Multidrug-Resistant Organisms (MDRO) — mdro","text":"","code":"out <- mdro(example_isolates, guideline = \"EUCAST\") str(out) #>  Ord.factor w/ 3 levels \"Negative\"<\"Positive, unconfirmed\"<..: 1 1 1 1 1 1 1 1 1 1 ... table(out) #> out #>              Negative Positive, unconfirmed              Positive  #>                  1978                     0                     6   out <- mdro(example_isolates,   guideline = custom_mdro_guideline(     AMX == \"R\" ~ \"Custom MDRO 1\",     VAN == \"R\" ~ \"Custom MDRO 2\"   ) ) table(out) #> out #>      Negative Custom MDRO 1 Custom MDRO 2  #>           870           804           326   # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     mdro() %>%     table()    # no need to define `x` when used inside dplyr verbs:   example_isolates %>%     mutate(MDRO = mdro()) %>%     pull(MDRO) %>%     table() } #> Warning: in mdro(): NA introduced for isolates where the available percentage of #> antimicrobial classes was below 50% (set with pct_required_classes) #> Warning: There was 1 warning in `mutate()`. #> ℹ In argument: `MDRO = mdro()`. #> Caused by warning: #> ! in mdro(): NA introduced for isolates where the available percentage of #> antimicrobial classes was below 50% (set with pct_required_classes) #> . #>                         Negative       Multi-drug-resistant (MDR)  #>                             1601                              128  #> Extensively drug-resistant (XDR)          Pandrug-resistant (PDR)  #>                                0                                0  # }"},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the Mean AMR Distance — mean_amr_distance","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"Calculates normalised mean antimicrobial resistance multiple observations, help identify similar isolates without comparing antibiograms hand.","code":""},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"","code":"mean_amr_distance(x, ...)  # S3 method for sir mean_amr_distance(x, ..., combine_SI = TRUE)  # S3 method for data.frame mean_amr_distance(x, ..., combine_SI = TRUE)  amr_distance_from_row(amr_distance, row)"},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"x vector class sir, mic disk, data.frame containing columns classes ... variables select (supports tidyselect language column1:column4 (.mic), can thus also antibiotic selectors combine_SI logical indicate whether values S must merged one, input consists S+vs. R (susceptible vs. resistant) - default TRUE amr_distance outcome mean_amr_distance() row index, row number","code":""},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"mean AMR distance effectively Z-score; normalised numeric value compare AMR test results can help identify similar isolates, without comparing antibiograms hand. MIC values (see .mic()) transformed log2() first; distance thus calculated (log2(x) - mean(log2(x))) / sd(log2(x)). SIR values (see .sir()) transformed using \"S\" = 1, \"\" = 2, \"R\" = 3. combine_SI TRUE (default), \"\" considered 1. data sets, mean AMR distance calculated per column, mean per row returned, see Examples. Use amr_distance_from_row() subtract distances distance one row, see Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":"interpretation","dir":"Reference","previous_headings":"","what":"Interpretation","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"Isolates distances less 0.01 difference considered similar. Differences lower 0.025 considered suspicious.","code":""},{"path":"https://msberends.github.io/AMR/reference/mean_amr_distance.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the Mean AMR Distance — mean_amr_distance","text":"","code":"sir <- random_sir(10) sir #> Class 'sir' #>  [1] R R S I I S I I R I mean_amr_distance(sir) #>  [1]  1.449138  1.449138 -0.621059 -0.621059 -0.621059 -0.621059 -0.621059 #>  [8] -0.621059  1.449138 -0.621059  mic <- random_mic(10) mic #> Class 'mic' #>  [1] 0.002 0.5   0.125 128   0.25  0.5   256   0.125 0.125 64    mean_amr_distance(mic) #>  [1] -1.6429088 -0.1673475 -0.5378223  1.3145519 -0.3525849 -0.1673475 #>  [7]  1.4997893 -0.5378223 -0.5378223  1.1293145 # equal to the Z-score of their log2: (log2(mic) - mean(log2(mic))) / sd(log2(mic)) #>  [1] -1.6429088 -0.1673475 -0.5378223  1.3145519 -0.3525849 -0.1673475 #>  [7]  1.4997893 -0.5378223 -0.5378223  1.1293145  disk <- random_disk(10) disk #> Class 'disk' #>  [1] 40 45 43 14 42 40 37 15 42 11 mean_amr_distance(disk) #>  [1]  0.5182957  0.8832927  0.7372939 -1.3796886  0.6642945  0.5182957 #>  [7]  0.2992975 -1.3066892  0.6642945 -1.5986868  y <- data.frame(   id = LETTERS[1:10],   amox = random_sir(10, ab = \"amox\", mo = \"Escherichia coli\"),   cipr = random_disk(10, ab = \"cipr\", mo = \"Escherichia coli\"),   gent = random_mic(10, ab = \"gent\", mo = \"Escherichia coli\"),   tobr = random_mic(10, ab = \"tobr\", mo = \"Escherichia coli\") ) y #>    id amox cipr  gent  tobr #> 1   A    R   17 <=0.5   >=8 #> 2   B    I   26 <=0.5     4 #> 3   C    R   18     4   >=8 #> 4   D    R   22 <=0.5 <=0.5 #> 5   E    I   30 <=0.5     1 #> 6   F    S   18     4     2 #> 7   G    I   26     8     2 #> 8   H    S   29     8     1 #> 9   I    I   22    16     1 #> 10  J    S   31     1     4 mean_amr_distance(y) #> ℹ Calculating mean AMR distance based on columns \"amox\", \"cipr\", \"gent\", #>   and \"tobr\" #>  [1]  0.12957466 -0.14083442  0.55230568 -0.36152662 -0.31478853 -0.33012168 #>  [7]  0.17672648  0.13748045 -0.07163669  0.22282068 y$amr_distance <- mean_amr_distance(y, where(is.mic)) #> Error in .subset(x, j): invalid subscript type 'list' y[order(y$amr_distance), ] #> Error in order(y$amr_distance): argument 1 is not a vector  if (require(\"dplyr\")) {   y %>%     mutate(       amr_distance = mean_amr_distance(y),       check_id_C = amr_distance_from_row(amr_distance, id == \"C\")     ) %>%     arrange(check_id_C) } #> ℹ Calculating mean AMR distance based on columns \"amox\", \"cipr\", \"gent\", #>   and \"tobr\" #>    id amox cipr  gent  tobr amr_distance check_id_C #> 1   C    R   18     4   >=8   0.55230568  0.0000000 #> 2   J    S   31     1     4   0.22282068  0.3294850 #> 3   G    I   26     8     2   0.17672648  0.3755792 #> 4   H    S   29     8     1   0.13748045  0.4148252 #> 5   A    R   17 <=0.5   >=8   0.12957466  0.4227310 #> 6   I    I   22    16     1  -0.07163669  0.6239424 #> 7   B    I   26 <=0.5     4  -0.14083442  0.6931401 #> 8   E    I   30 <=0.5     1  -0.31478853  0.8670942 #> 9   F    S   18     4     2  -0.33012168  0.8824274 #> 10  D    R   22 <=0.5 <=0.5  -0.36152662  0.9138323 if (require(\"dplyr\")) {   # support for groups   example_isolates %>%     filter(mo_genus() == \"Enterococcus\" & mo_species() != \"\") %>%     select(mo, TCY, carbapenems()) %>%     group_by(mo) %>%     mutate(dist = mean_amr_distance(.)) %>%     arrange(mo, dist) } #> ℹ Using column 'mo' as input for mo_genus() #> ℹ Using column 'mo' as input for mo_species() #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> ℹ Calculating mean AMR distance based on columns \"TCY\", \"IPM\", and \"MEM\" #> # A tibble: 63 × 5 #> # Groups:   mo [4] #>    mo           TCY   IPM   MEM     dist #>    <mo>         <sir> <sir> <sir>  <dbl> #>  1 B_ENTRC_AVIM S     S     NA     0     #>  2 B_ENTRC_AVIM S     S     NA     0     #>  3 B_ENTRC_CSSL NA    S     NA    NA     #>  4 B_ENTRC_FACM S     S     NA    -2.66  #>  5 B_ENTRC_FACM S     R     R     -0.423 #>  6 B_ENTRC_FACM S     R     R     -0.423 #>  7 B_ENTRC_FACM NA    R     R      0.224 #>  8 B_ENTRC_FACM NA    R     R      0.224 #>  9 B_ENTRC_FACM NA    R     R      0.224 #> 10 B_ENTRC_FACM NA    R     R      0.224 #> # ℹ 53 more rows"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.codes.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","title":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","text":"data set containing commonly used codes microorganisms, laboratory systems WHONET. Define set_mo_source(). searched using .mo() consequently mo_* functions.","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.codes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","text":"","code":"microorganisms.codes"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.codes.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","text":"tibble 4 957 observations 2 variables: code Commonly used code microorganism. unique identifier. mo ID microorganism microorganisms data set","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.codes.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/microorganisms.codes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with 4 957 Common Microorganism Codes — microorganisms.codes","text":"","code":"microorganisms.codes #> # A tibble: 4,957 × 2 #>    code  mo                #>    <chr> <mo>              #>  1 1011  B_GRAMP           #>  2 1012  B_GRAMP           #>  3 1013  B_GRAMN           #>  4 1014  B_GRAMN           #>  5 1015  F_YEAST           #>  6 103   B_ESCHR_COLI      #>  7 104   B_SLMNL_ENTR_ENTR #>  8 1100  B_STRPT           #>  9 1101  B_STRPT_VIRI      #> 10 1102  B_STRPT_HAEM      #> # ℹ 4,947 more rows  # 'ECO' or 'eco' is the WHONET code for E. coli: microorganisms.codes[microorganisms.codes$code == \"ECO\", ] #> # A tibble: 1 × 2 #>   code  mo           #>   <chr> <mo>         #> 1 ECO   B_ESCHR_COLI  # and therefore, 'eco' will be understood as E. coli in this package: mo_info(\"eco\") #> $mo #> [1] \"B_ESCHR_COLI\" #>  #> $kingdom #> [1] \"Bacteria\" #>  #> $phylum #> [1] \"Pseudomonadota\" #>  #> $class #> [1] \"Gammaproteobacteria\" #>  #> $order #> [1] \"Enterobacterales\" #>  #> $family #> [1] \"Enterobacteriaceae\" #>  #> $genus #> [1] \"Escherichia\" #>  #> $species #> [1] \"coli\" #>  #> $subspecies #> [1] \"\" #>  #> $status #> [1] \"accepted\" #>  #> $synonyms #> NULL #>  #> $gramstain #> [1] \"Gram-negative\" #>  #> $oxygen_tolerance #> [1] \"facultative anaerobe\" #>  #> $url #> [1] \"https://lpsn.dsmz.de/species/escherichia-coli\" #>  #> $ref #> [1] \"Castellani et al., 1919\" #>  #> $snomed #>  [1] \"1095001000112106\" \"715307006\"        \"737528008\"        \"416989002\"        #>  [5] \"116397003\"        \"414097009\"        \"414098004\"        \"414099007\"        #>  [9] \"414100004\"        \"116395006\"        \"735270003\"        \"116396007\"        #> [13] \"83285000\"         \"116394005\"        \"112283007\"        \"710886005\"        #> [17] \"710887001\"        \"710888006\"        \"710889003\"        \"414132004\"        #> [21] \"721892009\"        \"416812001\"        \"416740004\"        \"417216001\"        #> [25] \"457541006\"        \"710253004\"        \"416530004\"        \"417189006\"        #> [29] \"409800005\"        \"713925008\"        \"444771000124108\"  \"838549008\"        #>  #> $lpsn #> [1] \"776057\" #>  #> $gbif #> [1] \"11286021\" #>   # works for all AMR functions: mo_is_intrinsic_resistant(\"eco\", ab = \"vancomycin\") #> [1] TRUE"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.groups.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","title":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","text":"data set containing species groups microbiological complexes, used clinical breakpoints table.","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.groups.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","text":"","code":"microorganisms.groups"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.groups.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","text":"tibble 521 observations 4 variables: mo_group ID species group / microbiological complex mo ID microorganism belonging species group / microbiological complex mo_group_name Name species group / microbiological complex, retrieved mo_name() mo_name Name microorganism belonging species group / microbiological complex, retrieved mo_name()","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.groups.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/microorganisms.groups.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with 521 Microorganisms In Species Groups — microorganisms.groups","text":"","code":"microorganisms.groups #> # A tibble: 521 × 4 #>    mo_group       mo           mo_group_name                   mo_name           #>    <mo>           <mo>         <chr>                           <chr>             #>  1 B_ACNTB_BMNN-C B_ACNTB_BMNN Acinetobacter baumannii complex Acinetobacter ba… #>  2 B_ACNTB_BMNN-C B_ACNTB_CLCC Acinetobacter baumannii complex Acinetobacter ca… #>  3 B_ACNTB_BMNN-C B_ACNTB_DJKS Acinetobacter baumannii complex Acinetobacter di… #>  4 B_ACNTB_BMNN-C B_ACNTB_NSCM Acinetobacter baumannii complex Acinetobacter no… #>  5 B_ACNTB_BMNN-C B_ACNTB_PITT Acinetobacter baumannii complex Acinetobacter pi… #>  6 B_ACNTB_BMNN-C B_ACNTB_SFRT Acinetobacter baumannii complex Acinetobacter se… #>  7 B_BCTRD_FRGL-C B_BCTRD_FRGL Bacteroides fragilis complex    Bacteroides frag… #>  8 B_BCTRD_FRGL-C B_BCTRD_OVTS Bacteroides fragilis complex    Bacteroides ovat… #>  9 B_BCTRD_FRGL-C B_BCTRD_THTT Bacteroides fragilis complex    Bacteroides thet… #> 10 B_BCTRD_FRGL-C B_BCTRD_VLGT Bacteroides fragilis complex    Bacteroides vulg… #> # ℹ 511 more rows  # these are all species in the Bacteroides fragilis group, as per WHONET: microorganisms.groups[microorganisms.groups$mo_group == \"B_BCTRD_FRGL-C\", ] #> # A tibble: 5 × 4 #>   mo_group       mo           mo_group_name                mo_name               #>   <mo>           <mo>         <chr>                        <chr>                 #> 1 B_BCTRD_FRGL-C B_BCTRD_FRGL Bacteroides fragilis complex Bacteroides fragilis  #> 2 B_BCTRD_FRGL-C B_BCTRD_OVTS Bacteroides fragilis complex Bacteroides ovatus    #> 3 B_BCTRD_FRGL-C B_BCTRD_THTT Bacteroides fragilis complex Bacteroides thetaiot… #> 4 B_BCTRD_FRGL-C B_BCTRD_VLGT Bacteroides fragilis complex Bacteroides vulgatus  #> 5 B_BCTRD_FRGL-C B_PRBCT_DSTS Bacteroides fragilis complex Parabacteroides dist…"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":null,"dir":"Reference","previous_headings":"","what":"Data Set with 52 171 Microorganisms — microorganisms","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"data set containing full microbial taxonomy (last updated: January 8th, 2024) five kingdoms List Prokaryotic names Standing Nomenclature (LPSN) Global Biodiversity Information Facility (GBIF). data set backbone AMR package. MO codes can looked using .mo().","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"","code":"microorganisms"},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"tibble 52 171 observations 23 variables: mo ID microorganism used package. unique identifier. fullname Full name, like \"Escherichia coli\". taxonomic ranks genus, species subspecies, 'pasted' text genus, species, subspecies. taxonomic ranks higher genus, name taxon. unique identifier. status  Status taxon, either \"accepted\" \"synonym\" kingdom, phylum, class, order, family, genus, species, subspecies Taxonomic rank microorganism rank Text taxonomic rank microorganism, \"species\" \"genus\" ref Author(s) year related scientific publication. contains first surname year latest authors, e.g. \"Wallis et al. 2006 emend. Smith Jones 2018\" becomes \"Smith et al., 2018\". field directly retrieved source specified column source. Moreover, accents removed comply CRAN allows ASCII characters. lpsn Identifier ('Record number') List Prokaryotic names Standing Nomenclature (LPSN). first/highest LPSN identifier keep one identifier per row. example, Acetobacter ascendens LPSN Record number 7864 11011. first available microorganisms data set. oxygen_tolerance  Oxygen tolerance, either \"aerobe\", \"anaerobe\", \"anaerobe/microaerophile\", \"facultative anaerobe\", \"likely facultative anaerobe\", \"microaerophile\". data retrieved BacDive (see Source). Items contain \"likely\" missing BacDive extrapolated species within genus guess oxygen tolerance. Currently 73.4% ~37 000 bacteria data set contain oxygen tolerance. lpsn_parent LPSN identifier parent taxon lpsn_renamed_to LPSN identifier currently valid taxon gbif Identifier ('taxonID') Global Biodiversity Information Facility (GBIF) gbif_parent GBIF identifier parent taxon gbif_renamed_to GBIF identifier currently valid taxon source Either \"GBIF\", \"LPSN\", \"manually added\" (see Source) prevalence Prevalence microorganism based Bartlett et al. (2022, doi:10.1099/mic.0.001269 ), see mo_matching_score() full explanation snomed Systematized Nomenclature Medicine (SNOMED) code microorganism, version July 1st, 2021 (see Source). Use mo_snomed() retrieve quickly, see mo_property().","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"Parte, AC et al. (2020). List Prokaryotic names Standing Nomenclature (LPSN) moves DSMZ. International Journal Systematic Evolutionary Microbiology, 70, 5607-5612; doi:10.1099/ijsem.0.004332 . Accessed https://lpsn.dsmz.de December 11th, 2022. GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset doi:10.15468/39omei . Accessed https://www.gbif.org January 8th, 2024. Reimer, LC et al. (2022). BacDive 2022: knowledge base standardized bacterial archaeal data. Nucleic Acids Res., 50(D1):D741-D74; doi:10.1093/nar/gkab961 . Accessed https://bacdive.dsmz.de May 12th, 2023. Public Health Information Network Vocabulary Access Distribution System (PHIN VADS). US Edition SNOMED CT 1 September 2020. Value Set Name 'Microorganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: https://phinvads.cdc.gov Grimont et al. (2007). Antigenic Formulae Salmonella Serovars, 9th Edition. Collaborating Centre Reference Research Salmonella (WHOCC-SALM). Bartlett et al. (2022). comprehensive list bacterial pathogens infecting humans Microbiology 168:001269; doi:10.1099/mic.0.001269","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"Please note entries based List Prokaryotic names Standing Nomenclature (LPSN) Global Biodiversity Information Facility (GBIF) (see ). Since sources incorporate entries based (recent) publications International Journal Systematic Evolutionary Microbiology (IJSEM), can happen year publication sometimes later one might expect. example, Staphylococcus pettenkoferi described first time Diagnostic Microbiology Infectious Disease 2002 (doi:10.1016/s0732-8893(02)00399-1 ), 2007 publication IJSEM followed (doi:10.1099/ijs.0.64381-0 ). Consequently, AMR package returns 2007 mo_year(\"S. pettenkoferi\").","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"included-taxa","dir":"Reference","previous_headings":"","what":"Included Taxa","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"Included taxonomic data : ~37 000 (sub)species kingdoms Archaea Bacteria ~7 900 (sub)species kingdom Fungi. kingdom Fungi large taxon almost 300,000 different (sub)species, microbial (rather macroscopic, like mushrooms). , fungi fit scope package. relevant fungi covered (species Aspergillus, Candida, Cryptococcus, Histoplasma, Pneumocystis, Saccharomyces Trichophyton). ~5 100 (sub)species kingdom Protozoa ~1 400 (sub)species 43 relevant genera kingdom Animalia (Strongyloides Taenia) ~9 800 previously accepted names included (sub)species (taxonomically renamed) complete taxonomic tree included (sub)species: kingdom subspecies identifier parent taxons year first author related scientific publication","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"manual-additions","dir":"Reference","previous_headings":"","what":"Manual additions","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"convenience, entries added manually: ~1 500 entries Salmonella, city-like serovars groups H 36 species groups (beta-haemolytic Streptococcus groups K, coagulase-negative Staphylococcus (CoNS), Mycobacterium tuberculosis complex, etc.), group compositions stored microorganisms.groups data set 1 entry Blastocystis (B.  hominis), although officially exist (Noel et al. 2005, PMID 15634993) 1 entry Moraxella (M. catarrhalis), formally named Branhamella catarrhalis (Catlin, 1970) though change never accepted within field clinical microbiology 8 'undefined' entries (unknown, unknown Gram-negatives, unknown Gram-positives, unknown yeast, unknown fungus, unknown anaerobic Gram-pos/Gram-neg bacteria) syntax used transform original data cleansed R format, can found : https://github.com/msberends/AMR/blob/main/data-raw/reproduction_of_microorganisms.R.","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"direct-download","dir":"Reference","previous_headings":"","what":"Direct download","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"Like data sets package, data set publicly available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"about-the-records-from-lpsn-see-source-","dir":"Reference","previous_headings":"","what":"About the Records from LPSN (see Source)","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"LPSN main source bacteriological taxonomy AMR package. List Prokaryotic names Standing Nomenclature (LPSN) provides comprehensive information nomenclature prokaryotes. LPSN free use service founded Jean P. Euzeby 1997 later maintained Aidan C. Parte.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/microorganisms.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data Set with 52 171 Microorganisms — microorganisms","text":"","code":"microorganisms #> # A tibble: 52,171 × 23 #>    mo               fullname      status kingdom phylum class order family genus #>    <mo>             <chr>         <chr>  <chr>   <chr>  <chr> <chr> <chr>  <chr> #>  1 B_GRAMN          (unknown Gra… accep… Bacter… (unkn… (unk… (unk… \"(unk… \"(un… #>  2 B_GRAMP          (unknown Gra… accep… Bacter… (unkn… (unk… (unk… \"(unk… \"(un… #>  3 B_ANAER-NEG      (unknown ana… accep… Bacter… (unkn… (unk… (unk… \"(unk… \"(un… #>  4 B_ANAER-POS      (unknown ana… accep… Bacter… (unkn… (unk… (unk… \"(unk… \"(un… #>  5 B_ANAER          (unknown ana… accep… Bacter… (unkn… (unk… (unk… \"(unk… \"(un… #>  6 F_FUNGUS         (unknown fun… accep… Fungi   (unkn… (unk… (unk… \"(unk… \"(un… #>  7   UNKNOWN        (unknown nam… accep… (unkno… (unkn… (unk… (unk… \"(unk… \"(un… #>  8 F_YEAST          (unknown yea… accep… Fungi   (unkn… (unk… (unk… \"(unk… \"(un… #>  9 B_[FAM]_ABDTBCTR Abditibacter… accep… Bacter… Abdit… Abdi… Abdi… \"Abdi… \"\"    #> 10 B_[ORD]_ABDTBCTR Abditibacter… accep… Bacter… Abdit… Abdi… Abdi… \"\"     \"\"    #> # ℹ 52,161 more rows #> # ℹ 14 more variables: species <chr>, subspecies <chr>, rank <chr>, ref <chr>, #> #   oxygen_tolerance <chr>, source <chr>, lpsn <chr>, lpsn_parent <chr>, #> #   lpsn_renamed_to <chr>, gbif <chr>, gbif_parent <chr>, #> #   gbif_renamed_to <chr>, prevalence <dbl>, snomed <list>"},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the Matching Score for Microorganisms — mo_matching_score","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"algorithm used .mo() mo_* functions determine probable match taxonomic records based user input.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"","code":"mo_matching_score(x, n)"},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"x user input value(s) n full taxonomic name, exists microorganisms$fullname","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"algorithm originally described : Berends MS et al. (2022). AMR: R Package Working Antimicrobial Resistance Data. Journal Statistical Software, 104(3), 1-31; doi:10.18637/jss.v104.i03 . Later, work Bartlett et al. bacterial pathogens infecting humans (2022, doi:10.1099/mic.0.001269 ) incorporated.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"matching-score-for-microorganisms","dir":"Reference","previous_headings":"","what":"Matching Score for Microorganisms","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"ambiguous user input .mo() mo_* functions, returned results chosen based matching score using mo_matching_score(). matching score \\(m\\), calculated :  : \\(x\\) user input; \\(n\\) taxonomic name (genus, species, subspecies); \\(l_n\\) length \\(n\\); \\(lev\\) Levenshtein distance function (counting insertion 1, deletion substitution 2) needed change \\(x\\) \\(n\\); \\(p_n\\) human pathogenic prevalence group \\(n\\), described ; \\(k_n\\) taxonomic kingdom \\(n\\), set Bacteria = 1, Fungi = 1.25, Protozoa = 1.5, Archaea = 2, others = 3. grouping human pathogenic prevalence \\(p\\) based recent work Bartlett et al. (2022, doi:10.1099/mic.0.001269 ) extensively studied medical-scientific literature categorise bacterial species groups: Established, taxonomic species infected least three persons three references. records prevalence = 1.0 microorganisms data set; Putative, taxonomic species fewer three known cases. records prevalence = 1.25 microorganisms data set. Furthermore, genus present established list also prevalence = 1.0 microorganisms data set; genus present putative list prevalence = 1.25 microorganisms data set; species subspecies genus present two aforementioned groups, prevalence = 1.5 microorganisms data set; non-bacterial genus, species subspecies genus present following list, prevalence = 1.25 microorganisms data set: Absidia, Acanthamoeba, Acremonium, Aedes, Alternaria, Amoeba, Ancylostoma, Angiostrongylus, Anisakis, Anopheles, Apophysomyces, Arthroderma, Aspergillus, Aureobasidium, Basidiobolus, Beauveria, Blastocystis, Blastomyces, Candida, Capillaria, Chaetomium, Chrysonilia, Chrysosporium, Cladophialophora, Cladosporium, Conidiobolus, Contracaecum, Cordylobia, Cryptococcus, Curvularia, Demodex, Dermatobia, Dientamoeba, Diphyllobothrium, Dirofilaria, Echinostoma, Entamoeba, Enterobius, Exophiala, Exserohilum, Fasciola, Fonsecaea, Fusarium, Geotrichum, Giardia, Haloarcula, Halobacterium, Halococcus, Hendersonula, Heterophyes, Histomonas, Histoplasma, Hymenolepis, Hypomyces, Hysterothylacium, Kloeckera, Kodamaea, Leishmania, Lichtheimia, Lodderomyces, Malassezia, Malbranchea, Metagonimus, Meyerozyma, Microsporidium, Microsporum, Millerozyma, Mortierella, Mucor, Mycocentrospora, Necator, Nectria, Ochroconis, Oesophagostomum, Oidiodendron, Opisthorchis, Paecilomyces, Pediculus, Penicillium, Phlebotomus, Phoma, Pichia, Piedraia, Pithomyces, Pityrosporum, Pneumocystis, Pseudallescheria, Pseudoterranova, Pulex, Rhizomucor, Rhizopus, Rhodotorula, Saccharomyces, Saprochaete, Sarcoptes, Scedosporium, Scolecobasidium, Scopulariopsis, Scytalidium, Spirometra, Sporobolomyces, Sporotrichum, Stachybotrys, Strongyloides, Syngamus, Taenia, Talaromyces, Toxocara, Trichinella, Trichobilharzia, Trichoderma, Trichomonas, Trichophyton, Trichosporon, Trichostrongylus, Trichuris, Tritirachium, Trombicula, Trypanosoma, Tunga, Verticillium, Wuchereria; records prevalence = 2.0 microorganisms data set. calculating matching score, characters \\(x\\) \\(n\\) ignored -Z, -z, 0-9, spaces parentheses. matches sorted descending matching score user input values, top match returned. lead effect e.g., \"E. coli\" return microbial ID Escherichia coli (\\(m = 0.688\\), highly prevalent microorganism found humans) Entamoeba coli (\\(m = 0.381\\), less prevalent microorganism humans), although latter alphabetically come first.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"Dr. Matthijs Berends, 2018","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_matching_score.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the Matching Score for Microorganisms — mo_matching_score","text":"","code":"mo_reset_session() #> ℹ Reset 17 previously matched input values.  as.mo(\"E. coli\") #> Class 'mo' #> [1] B_ESCHR_COLI mo_uncertainties() #> Matching scores are based on the resemblance between the input and the full #> taxonomic name, and the pathogenicity in humans. See ?mo_matching_score. #>  #> -------------------------------------------------------------------------------- #> \"E. coli\" -> Escherichia coli (B_ESCHR_COLI, 0.688) #> Also matched: Enterobacter cowanii (0.600), Eubacterium combesii #>               (0.600), Eggerthia catenaformis (0.591), Eubacterium callanderi #>               (0.591), Enterocloster citroniae (0.587), Eubacterium cylindroides #>               (0.583), Enterococcus casseliflavus (0.577), Enterobacter cloacae #>               cloacae (0.571), Enterobacter cloacae complex (0.571), and Ehrlichia #>               canis (0.567) #>  #> Only the first 10 other matches of each record are shown. Run #> print(mo_uncertainties(), n = ...) to view more entries, or save #> mo_uncertainties() to an object.  mo_matching_score(   x = \"E. coli\",   n = c(\"Escherichia coli\", \"Entamoeba coli\") ) #> [1] 0.6875000 0.3809524"},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Properties of a Microorganism — mo_property","title":"Get Properties of a Microorganism — mo_property","text":"Use functions return specific property microorganism based latest accepted taxonomy. input values evaluated internally .mo(), makes possible use microbial abbreviations, codes names input. See Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Properties of a Microorganism — mo_property","text":"","code":"mo_name(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_fullname(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_shortname(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_subspecies(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_species(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_genus(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_family(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_order(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_class(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_phylum(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_kingdom(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_domain(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_type(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_status(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_pathogenicity(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_gramstain(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_is_gram_negative(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_is_gram_positive(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_is_yeast(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_is_intrinsic_resistant(   x,   ab,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_oxygen_tolerance(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_is_anaerobic(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_snomed(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_ref(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_authors(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_year(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_lpsn(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_gbif(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_rank(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_taxonomy(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_synonyms(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_current(x, language = get_AMR_locale(), ...)  mo_info(   x,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_url(   x,   open = FALSE,   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )  mo_property(   x,   property = \"fullname\",   language = get_AMR_locale(),   keep_synonyms = getOption(\"AMR_keep_synonyms\", FALSE),   ... )"},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Properties of a Microorganism — mo_property","text":"x character (vector) can coerced valid microorganism code .mo(). Can left blank auto-guessing column containing microorganism codes used data set, see Examples. language language translate text like \"growth\", defaults system language (see get_AMR_locale()) keep_synonyms logical indicate old, previously valid taxonomic names must preserved corrected currently accepted names. default FALSE, return note old taxonomic names processed. default can set package option AMR_keep_synonyms, .e. options(AMR_keep_synonyms = TRUE) options(AMR_keep_synonyms = FALSE). ... arguments passed .mo(), 'minimum_matching_score', 'ignore_pattern', 'remove_from_input' ab (vector ) text can coerced valid antibiotic drug code .ab() open browse URL using browseURL() property one column names microorganisms data set: \"mo\", \"fullname\", \"status\", \"kingdom\", \"phylum\", \"class\", \"order\", \"family\", \"genus\", \"species\", \"subspecies\", \"rank\", \"ref\", \"oxygen_tolerance\", \"source\", \"lpsn\", \"lpsn_parent\", \"lpsn_renamed_to\", \"gbif\", \"gbif_parent\", \"gbif_renamed_to\", \"prevalence\", \"snomed\", must \"shortname\"","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Properties of a Microorganism — mo_property","text":"integer case mo_year() ordered factor case mo_pathogenicity() list case mo_taxonomy(), mo_synonyms(), mo_snomed() mo_info() named character case mo_url() character cases","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get Properties of a Microorganism — mo_property","text":"functions , default, keep old taxonomic properties, synonyms automatically replaced current taxonomy. Take example Enterobacter aerogenes, initially named 1960 renamed Klebsiella aerogenes 2017: mo_genus(\"Enterobacter aerogenes\") return \"Klebsiella\" (note renaming) mo_genus(\"Enterobacter aerogenes\", keep_synonyms = TRUE) return \"Enterobacter\" (-per-session warning name outdated) mo_ref(\"Enterobacter aerogenes\") return \"Tindall et al., 2017\" (note) mo_ref(\"Enterobacter aerogenes\", keep_synonyms = TRUE) return \"Hormaeche et al., 1960\" (warning) short name (mo_shortname()) returns first character genus full species, \"E. coli\", species subspecies. Exceptions abbreviations staphylococci (\"CoNS\", Coagulase-Negative Staphylococci) beta-haemolytic streptococci (\"GBS\", Group B Streptococci). Please bear mind e.g. E. coli mean Escherichia coli (kingdom Bacteria) well Entamoeba coli (kingdom Protozoa). Returning full name done using .mo() internally, giving priority bacteria human pathogens, .e. \"E. coli\" considered Escherichia coli. result, mo_fullname(mo_shortname(\"Entamoeba coli\")) returns \"Escherichia coli\". Since top-level taxonomy sometimes referred 'kingdom' sometimes 'domain', functions mo_kingdom() mo_domain() return exact results. Determination human pathogenicity (mo_pathogenicity()) strongly based Bartlett et al. (2022, doi:10.1099/mic.0.001269 ). function returns factor levels Pathogenic, Potentially pathogenic, Non-pathogenic, Unknown. Determination Gram stain (mo_gramstain()) based taxonomic kingdom phylum. Originally, Cavalier-Smith defined -called subkingdoms Negibacteria Posibacteria (2002, PMID 11837318), considered phyla Posibacteria: Actinobacteria, Chloroflexi, Firmicutes, Tenericutes. phyla later renamed Actinomycetota, Chloroflexota, Bacillota, Mycoplasmatota (2021, PMID 34694987). Bacteria phyla considered Gram-positive AMR package, except members class Negativicutes (within phylum Bacillota) Gram-negative. bacteria considered Gram-negative. Species outside kingdom Bacteria return value NA. Functions mo_is_gram_negative() mo_is_gram_positive() always return TRUE FALSE (NA input NA MO code UNKNOWN), thus always return FALSE species outside taxonomic kingdom Bacteria. Determination yeasts (mo_is_yeast()) based taxonomic kingdom class. Budding yeasts fungi phylum Ascomycota, class Saccharomycetes (also called Hemiascomycetes). True yeasts aggregated underlying order Saccharomycetales. Thus, microorganisms member taxonomic class Saccharomycetes, function return TRUE. returns FALSE otherwise (NA input NA MO code UNKNOWN). Determination intrinsic resistance (mo_is_intrinsic_resistant()) based intrinsic_resistant data set, based 'EUCAST Expert Rules' 'EUCAST Intrinsic Resistance Unusual Phenotypes' v3.3 (2021). mo_is_intrinsic_resistant() function can vectorised argument x (input microorganisms) ab (input antibiotics). Determination bacterial oxygen tolerance (mo_oxygen_tolerance()) based BacDive, see Source. function mo_is_anaerobic() returns TRUE oxygen tolerance \"anaerobe\", indicting obligate anaerobic species genus. always returns FALSE species outside taxonomic kingdom Bacteria. function mo_url() return direct URL online database entry, also shows scientific reference concerned species. SNOMED codes (mo_snomed()) version July 1st, 2021. See Source microorganisms data set info. Old taxonomic names (-called 'synonyms') can retrieved mo_synonyms() (scientific reference name), current taxonomic name can retrieved mo_current(). functions return full names. output translated possible.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"matching-score-for-microorganisms","dir":"Reference","previous_headings":"","what":"Matching Score for Microorganisms","title":"Get Properties of a Microorganism — mo_property","text":"function uses .mo() internally, uses advanced algorithm translate arbitrary user input valid taxonomy using -called matching score. can read public algorithm MO matching score page.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Get Properties of a Microorganism — mo_property","text":"Berends MS et al. (2022). AMR: R Package Working Antimicrobial Resistance Data. Journal Statistical Software, 104(3), 1-31; doi:10.18637/jss.v104.i03 Becker K et al. (2014). Coagulase-Negative Staphylococci. Clin Microbiol Rev. 27(4): 870-926; doi:10.1128/CMR.00109-13 Becker K et al. (2019). Implications identifying recently defined members S. aureus complex, S. argenteus S. schweitzeri: position paper members ESCMID Study Group staphylococci Staphylococcal Diseases (ESGS). Clin Microbiol Infect; doi:10.1016/j.cmi.2019.02.028 Becker K et al. (2020). Emergence coagulase-negative staphylococci. Expert Rev Anti Infect Ther. 18(4):349-366; doi:10.1080/14787210.2020.1730813 Lancefield RC (1933). serological differentiation human groups hemolytic streptococci. J Exp Med. 57(4): 571-95; doi:10.1084/jem.57.4.571 Berends MS et al. (2022). Trends Occurrence Phenotypic Resistance Coagulase-Negative Staphylococci (CoNS) Found Human Blood Northern Netherlands 2013 2019/ Micro.rganisms 10(9), 1801; doi:10.3390/microorganisms10091801 Parte, AC et al. (2020). List Prokaryotic names Standing Nomenclature (LPSN) moves DSMZ. International Journal Systematic Evolutionary Microbiology, 70, 5607-5612; doi:10.1099/ijsem.0.004332 . Accessed https://lpsn.dsmz.de December 11th, 2022. GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset doi:10.15468/39omei . Accessed https://www.gbif.org January 8th, 2024. Reimer, LC et al. (2022). BacDive 2022: knowledge base standardized bacterial archaeal data. Nucleic Acids Res., 50(D1):D741-D74; doi:10.1093/nar/gkab961 . Accessed https://bacdive.dsmz.de May 12th, 2023. Public Health Information Network Vocabulary Access Distribution System (PHIN VADS). US Edition SNOMED CT 1 September 2020. Value Set Name 'Microorganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: https://phinvads.cdc.gov Bartlett et al. (2022). comprehensive list bacterial pathogens infecting humans Microbiology 168:001269; doi:10.1099/mic.0.001269","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"reference-data-publicly-available","dir":"Reference","previous_headings":"","what":"Reference Data Publicly Available","title":"Get Properties of a Microorganism — mo_property","text":"data sets AMR package (microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) publicly freely available download following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, Stata. also provide tab-separated plain text files machine-readable suitable input software program, laboratory information systems. Please visit website download links. actual files course available GitHub repository.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/mo_property.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get Properties of a Microorganism — mo_property","text":"","code":"# taxonomic tree -----------------------------------------------------------  mo_kingdom(\"Klebsiella pneumoniae\") #> [1] \"Bacteria\" mo_phylum(\"Klebsiella pneumoniae\") #> [1] \"Pseudomonadota\" mo_class(\"Klebsiella pneumoniae\") #> [1] \"Gammaproteobacteria\" mo_order(\"Klebsiella pneumoniae\") #> [1] \"Enterobacterales\" mo_family(\"Klebsiella pneumoniae\") #> [1] \"Enterobacteriaceae\" mo_genus(\"Klebsiella pneumoniae\") #> [1] \"Klebsiella\" mo_species(\"Klebsiella pneumoniae\") #> [1] \"pneumoniae\" mo_subspecies(\"Klebsiella pneumoniae\") #> [1] \"\"   # full names and short names -----------------------------------------------  mo_name(\"Klebsiella pneumoniae\") #> [1] \"Klebsiella pneumoniae\" mo_fullname(\"Klebsiella pneumoniae\") #> [1] \"Klebsiella pneumoniae\" mo_shortname(\"Klebsiella pneumoniae\") #> [1] \"K. pneumoniae\"   # other properties ---------------------------------------------------------  mo_pathogenicity(\"Klebsiella pneumoniae\") #> [1] Pathogenic #> Levels: Pathogenic < Potentially pathogenic < Non-pathogenic < Unknown mo_gramstain(\"Klebsiella pneumoniae\") #> [1] \"Gram-negative\" mo_snomed(\"Klebsiella pneumoniae\") #> [[1]] #> [1] \"1098101000112102\" \"446870005\"        \"1098201000112108\" \"409801009\"        #> [5] \"56415008\"         \"714315002\"        \"713926009\"        #>  mo_type(\"Klebsiella pneumoniae\") #> [1] \"Bacteria\" mo_rank(\"Klebsiella pneumoniae\") #> [1] \"species\" mo_url(\"Klebsiella pneumoniae\") #>                                Klebsiella pneumoniae  #> \"https://lpsn.dsmz.de/species/klebsiella-pneumoniae\"  mo_is_yeast(c(\"Candida\", \"Trichophyton\", \"Klebsiella\")) #> [1]  TRUE FALSE FALSE   # scientific reference -----------------------------------------------------  mo_ref(\"Klebsiella aerogenes\") #> [1] \"Tindall et al., 2017\" mo_authors(\"Klebsiella aerogenes\") #> [1] \"Tindall et al.\" mo_year(\"Klebsiella aerogenes\") #> [1] 2017 mo_lpsn(\"Klebsiella aerogenes\") #> [1] \"777146\" mo_gbif(\"Klebsiella aerogenes\") #> [1] \"9281703\" mo_synonyms(\"Klebsiella aerogenes\") #>   Hormaeche et al., 1960     Bascomb et al., 1971  #> \"Enterobacter aerogenes\"     \"Klebsiella mobilis\"    # abbreviations known in the field -----------------------------------------  mo_genus(\"MRSA\") #> [1] \"Staphylococcus\" mo_species(\"MRSA\") #> [1] \"aureus\" mo_shortname(\"VISA\") #> [1] \"S. aureus\" mo_gramstain(\"VISA\") #> [1] \"Gram-positive\"  mo_genus(\"EHEC\") #> [1] \"Escherichia\" mo_species(\"EIEC\") #> [1] \"coli\" mo_name(\"UPEC\") #> [1] \"Escherichia coli\"   # known subspecies ---------------------------------------------------------  mo_fullname(\"K. pneu rh\") #> [1] \"Klebsiella pneumoniae rhinoscleromatis\" mo_shortname(\"K. pneu rh\") #> [1] \"K. pneumoniae\"  # \\donttest{ # Becker classification, see ?as.mo ----------------------------------------  mo_fullname(\"Staph epidermidis\") #> [1] \"Staphylococcus epidermidis\" mo_fullname(\"Staph epidermidis\", Becker = TRUE) #> [1] \"Coagulase-negative Staphylococcus (CoNS)\" mo_shortname(\"Staph epidermidis\") #> [1] \"S. epidermidis\" mo_shortname(\"Staph epidermidis\", Becker = TRUE) #> [1] \"CoNS\"   # Lancefield classification, see ?as.mo ------------------------------------  mo_fullname(\"Strep agalactiae\") #> [1] \"Streptococcus agalactiae\" mo_fullname(\"Strep agalactiae\", Lancefield = TRUE) #> [1] \"Streptococcus Group B\" mo_shortname(\"Strep agalactiae\") #> [1] \"S. agalactiae\" mo_shortname(\"Strep agalactiae\", Lancefield = TRUE) #> [1] \"GBS\"   # language support  --------------------------------------------------------  mo_gramstain(\"Klebsiella pneumoniae\", language = \"de\") # German #> [1] \"Gramnegativ\" mo_gramstain(\"Klebsiella pneumoniae\", language = \"nl\") # Dutch #> [1] \"Gram-negatief\" mo_gramstain(\"Klebsiella pneumoniae\", language = \"es\") # Spanish #> [1] \"Gram negativo\" mo_gramstain(\"Klebsiella pneumoniae\", language = \"el\") # Greek #> [1] \"Αρνητικό κατά Gram\" mo_gramstain(\"Klebsiella pneumoniae\", language = \"uk\") # Ukrainian #> [1] \"Грамнегативні\"  # mo_type is equal to mo_kingdom, but mo_kingdom will remain untranslated mo_kingdom(\"Klebsiella pneumoniae\") #> [1] \"Bacteria\" mo_type(\"Klebsiella pneumoniae\") #> [1] \"Bacteria\" mo_kingdom(\"Klebsiella pneumoniae\", language = \"zh\") # Chinese, no effect #> [1] \"Bacteria\" mo_type(\"Klebsiella pneumoniae\", language = \"zh\") # Chinese, translated #> [1] \"细菌\"  mo_fullname(\"S. pyogenes\", Lancefield = TRUE, language = \"de\") #> [1] \"Streptococcus Gruppe A\" mo_fullname(\"S. pyogenes\", Lancefield = TRUE, language = \"uk\") #> [1] \"Streptococcus Група A\"   # other --------------------------------------------------------------------  # gram stains and intrinsic resistance can be used as a filter in dplyr verbs if (require(\"dplyr\")) {   example_isolates %>%     filter(mo_is_gram_positive()) %>%     count(mo_genus(), sort = TRUE) } #> ℹ Using column 'mo' as input for mo_is_gram_positive() #> ℹ Using column 'mo' as input for mo_genus() #> # A tibble: 18 × 2 #>    `mo_genus()`        n #>    <chr>           <int> #>  1 Staphylococcus    840 #>  2 Streptococcus     275 #>  3 Enterococcus       83 #>  4 Corynebacterium    17 #>  5 Micrococcus         6 #>  6 Gemella             3 #>  7 Aerococcus          2 #>  8 Cutibacterium       1 #>  9 Dermabacter         1 #> 10 Fusibacter          1 #> 11 Globicatella        1 #> 12 Granulicatella      1 #> 13 Lactobacillus       1 #> 14 Leuconostoc         1 #> 15 Listeria            1 #> 16 Paenibacillus       1 #> 17 Rothia              1 #> 18 Schaalia            1 if (require(\"dplyr\")) {   example_isolates %>%     filter(mo_is_intrinsic_resistant(ab = \"vanco\")) %>%     count(mo_genus(), sort = TRUE) } #> ℹ Using column 'mo' as input for mo_is_intrinsic_resistant() #> ℹ Using column 'mo' as input for mo_genus() #> # A tibble: 20 × 2 #>    `mo_genus()`         n #>    <chr>            <int> #>  1 Escherichia        467 #>  2 Klebsiella          77 #>  3 Proteus             39 #>  4 Pseudomonas         30 #>  5 Serratia            25 #>  6 Enterobacter        23 #>  7 Citrobacter         11 #>  8 Haemophilus          8 #>  9 Acinetobacter        6 #> 10 Morganella           6 #> 11 Pantoea              4 #> 12 Salmonella           3 #> 13 Neisseria            2 #> 14 Stenotrophomonas     2 #> 15 Campylobacter        1 #> 16 Enterococcus         1 #> 17 Hafnia               1 #> 18 Lactobacillus        1 #> 19 Leuconostoc          1 #> 20 Pseudescherichia     1  # get a list with the complete taxonomy (from kingdom to subspecies) mo_taxonomy(\"Klebsiella pneumoniae\") #> $kingdom #> [1] \"Bacteria\" #>  #> $phylum #> [1] \"Pseudomonadota\" #>  #> $class #> [1] \"Gammaproteobacteria\" #>  #> $order #> [1] \"Enterobacterales\" #>  #> $family #> [1] \"Enterobacteriaceae\" #>  #> $genus #> [1] \"Klebsiella\" #>  #> $species #> [1] \"pneumoniae\" #>  #> $subspecies #> [1] \"\" #>   # get a list with the taxonomy, the authors, Gram-stain, # SNOMED codes, and URL to the online database mo_info(\"Klebsiella pneumoniae\") #> $mo #> [1] \"B_KLBSL_PNMN\" #>  #> $kingdom #> [1] \"Bacteria\" #>  #> $phylum #> [1] \"Pseudomonadota\" #>  #> $class #> [1] \"Gammaproteobacteria\" #>  #> $order #> [1] \"Enterobacterales\" #>  #> $family #> [1] \"Enterobacteriaceae\" #>  #> $genus #> [1] \"Klebsiella\" #>  #> $species #> [1] \"pneumoniae\" #>  #> $subspecies #> [1] \"\" #>  #> $status #> [1] \"accepted\" #>  #> $synonyms #> NULL #>  #> $gramstain #> [1] \"Gram-negative\" #>  #> $oxygen_tolerance #> [1] \"aerobe\" #>  #> $url #> [1] \"https://lpsn.dsmz.de/species/klebsiella-pneumoniae\" #>  #> $ref #> [1] \"Trevisan, 1887\" #>  #> $snomed #> [1] \"1098101000112102\" \"446870005\"        \"1098201000112108\" \"409801009\"        #> [5] \"56415008\"         \"714315002\"        \"713926009\"        #>  #> $lpsn #> [1] \"777151\" #>  #> $gbif #> [1] \"3221874\" #>  # }"},{"path":"https://msberends.github.io/AMR/reference/mo_source.html","id":null,"dir":"Reference","previous_headings":"","what":"User-Defined Reference Data Set for Microorganisms — mo_source","title":"User-Defined Reference Data Set for Microorganisms — mo_source","text":"functions can used predefine reference used .mo() consequently mo_* functions (mo_genus() mo_gramstain()). fastest way organisation (analysis) specific codes picked translated package, since bother setting .","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_source.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"User-Defined Reference Data Set for Microorganisms — mo_source","text":"","code":"set_mo_source(   path,   destination = getOption(\"AMR_mo_source\", \"~/mo_source.rds\") )  get_mo_source(destination = getOption(\"AMR_mo_source\", \"~/mo_source.rds\"))"},{"path":"https://msberends.github.io/AMR/reference/mo_source.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"User-Defined Reference Data Set for Microorganisms — mo_source","text":"path location reference file, can text file (comma-, tab- pipe-separated) Excel file (see Details). Can also \"\", NULL FALSE delete reference file. destination destination compressed data file - default user's home directory.","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_source.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"User-Defined Reference Data Set for Microorganisms — mo_source","text":"reference file can text file separated commas (CSV) tabs pipes, Excel file (either 'xls' 'xlsx' format) R object file (extension '.rds'). use Excel file, need readxl package installed. set_mo_source() check file validity: must data.frame, must column named \"mo\" contains values microorganisms$mo microorganisms$fullname must reference column defined values. tests pass, set_mo_source() read file R ask export \"~/mo_source.rds\". CRAN policy disallows packages write file system, although 'exceptions may allowed interactive sessions package obtains confirmation user'. reason, function works interactive sessions user can specifically confirm allow file created. destination file can set destination argument defaults user's home directory. can also set package option AMR_mo_source, e.g. options(AMR_mo_source = \"/location/file.rds\"). created compressed data file \"mo_source.rds\" used default MO determination (function .mo() consequently mo_* functions like mo_genus() mo_gramstain()). location timestamp original file saved attribute compressed data file. function get_mo_source() return data set reading \"mo_source.rds\" readRDS(). original file changed (checking location timestamp original file), call set_mo_source() update data file automatically used interactive session. Reading Excel file (.xlsx) one row size 8-9 kB. compressed file created set_mo_source() size 0.1 kB can read get_mo_source() couple microseconds (millionths second).","code":""},{"path":"https://msberends.github.io/AMR/reference/mo_source.html","id":"how-to-setup","dir":"Reference","previous_headings":"","what":"How to Setup","title":"User-Defined Reference Data Set for Microorganisms — mo_source","text":"Imagine data sheet Excel file. first column contains organisation specific codes, second column contains valid taxonomic names:   save \"home//ourcodes.xlsx\". Now set source:   now created file \"~/mo_source.rds\" contents Excel file. first column foreign values 'mo' column kept creating RDS file. now can use functions:   edit Excel file , say, adding row 4 like :   ...new usage MO function package update data file:   delete reference data file, just use \"\", NULL FALSE input set_mo_source():   original file (previous case Excel file) moved deleted, mo_source.rds file removed upon next use .mo() mo_* function.","code":"|         A          |            B          | --|--------------------|-----------------------| 1 | Organisation XYZ   | mo                    | 2 | lab_mo_ecoli       | Escherichia coli      | 3 | lab_mo_kpneumoniae | Klebsiella pneumoniae | 4 |                    |                       | set_mo_source(\"home/me/ourcodes.xlsx\") #> NOTE: Created mo_source file '/Users/me/mo_source.rds' (0.3 kB) from #>       '/Users/me/Documents/ourcodes.xlsx' (9 kB), columns #>       \"Organisation XYZ\" and \"mo\" as.mo(\"lab_mo_ecoli\") #> Class 'mo' #> [1] B_ESCHR_COLI  mo_genus(\"lab_mo_kpneumoniae\") #> [1] \"Klebsiella\"  # other input values still work too as.mo(c(\"Escherichia coli\", \"E. coli\", \"lab_mo_ecoli\")) #> NOTE: Translation to one microorganism was guessed with uncertainty. #>       Use mo_uncertainties() to review it. #> Class 'mo' #> [1] B_ESCHR_COLI B_ESCHR_COLI B_ESCHR_COLI |         A          |            B          | --|--------------------|-----------------------| 1 | Organisation XYZ   | mo                    | 2 | lab_mo_ecoli       | Escherichia coli      | 3 | lab_mo_kpneumoniae | Klebsiella pneumoniae | 4 | lab_Staph_aureus   | Staphylococcus aureus | 5 |                    |                       | as.mo(\"lab_mo_ecoli\") #> NOTE: Updated mo_source file '/Users/me/mo_source.rds' (0.3 kB) from #>       '/Users/me/Documents/ourcodes.xlsx' (9 kB), columns #>        \"Organisation XYZ\" and \"mo\" #> Class 'mo' #> [1] B_ESCHR_COLI  mo_genus(\"lab_Staph_aureus\") #> [1] \"Staphylococcus\" set_mo_source(NULL) #> Removed mo_source file '/Users/me/mo_source.rds'"},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":null,"dir":"Reference","previous_headings":"","what":"Principal Component Analysis (for AMR) — pca","title":"Principal Component Analysis (for AMR) — pca","text":"Performs principal component analysis (PCA) based data set automatic determination afterwards plotting groups labels, automatic filtering suitable (.e. non-empty numeric) variables.","code":""},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Principal Component Analysis (for AMR) — pca","text":"","code":"pca(   x,   ...,   retx = TRUE,   center = TRUE,   scale. = TRUE,   tol = NULL,   rank. = NULL )"},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Principal Component Analysis (for AMR) — pca","text":"x data.frame containing numeric columns ... columns x selected PCA, can unquoted since supports quasiquotation. retx logical value indicating whether rotated variables     returned. center logical value indicating whether variables     shifted zero centered. Alternately, vector     length equal number columns x can supplied.     value passed scale. scale. logical value indicating whether variables     scaled unit variance analysis takes     place.  default FALSE consistency S,     general scaling advisable.  Alternatively, vector length     equal number columns x can supplied.      value passed scale. tol value indicating magnitude components     omitted. (Components omitted     standard deviations less equal tol times     standard deviation first component.)  default null     setting, components omitted (unless rank. specified     less min(dim(x)).).  settings tol     tol = 0 tol = sqrt(.Machine$double.eps),     omit essentially constant components. rank. optionally, number specifying maximal rank, .e.,     maximal number principal components used.  Can set     alternative addition tol, useful notably     desired rank considerably smaller dimensions matrix.","code":""},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Principal Component Analysis (for AMR) — pca","text":"object classes pca prcomp","code":""},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Principal Component Analysis (for AMR) — pca","text":"pca() function takes data.frame input performs actual PCA R function prcomp(). result pca() function prcomp object, additional attribute non_numeric_cols vector column names columns contain numeric values. probably groups labels, used ggplot_pca().","code":""},{"path":"https://msberends.github.io/AMR/reference/pca.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Principal Component Analysis (for AMR) — pca","text":"","code":"# `example_isolates` is a data set available in the AMR package. # See ?example_isolates.  # \\donttest{ if (require(\"dplyr\")) {   # calculate the resistance per group first   resistance_data <- example_isolates %>%     group_by(       order = mo_order(mo), # group on anything, like order       genus = mo_genus(mo)     ) %>% #   and genus as we do here;     filter(n() >= 30) %>% # filter on only 30 results per group     summarise_if(is.sir, resistance) # then get resistance of all drugs    # now conduct PCA for certain antimicrobial drugs   pca_result <- resistance_data %>%     pca(AMC, CXM, CTX, CAZ, GEN, TOB, TMP, SXT)    pca_result   summary(pca_result)    # old base R plotting method:   biplot(pca_result)   # new ggplot2 plotting method using this package:   if (require(\"ggplot2\")) {     ggplot_pca(pca_result)      ggplot_pca(pca_result) +       scale_colour_viridis_d() +       labs(title = \"Title here\")   } } #> Warning: There were 73 warnings in `summarise()`. #> The first warning was: #> ℹ In argument: `PEN = (function (..., minimum = 30, as_percent = FALSE, #>   only_all_tested = FALSE) ...`. #> ℹ In group 5: `order = \"Lactobacillales\"` and `genus = \"Enterococcus\"`. #> Caused by warning: #> ! Introducing NA: only 14 results available for PEN in group: order = #> \"Lactobacillales\", genus = \"Enterococcus\" (minimum = 30). #> ℹ Run `dplyr::last_dplyr_warnings()` to see the 72 remaining warnings. #> ℹ Columns selected for PCA: \"AMC\", \"CAZ\", \"CTX\", \"CXM\", \"GEN\", \"SXT\", #>   \"TMP\", and \"TOB\". Total observations available: 7. #> Groups (n=4, named as 'order'): #> [1] \"Caryophanales\"    \"Enterobacterales\" \"Lactobacillales\"  \"Pseudomonadales\"  #>    # }"},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":null,"dir":"Reference","previous_headings":"","what":"Plotting for Classes sir, mic and disk — plot","title":"Plotting for Classes sir, mic and disk — plot","text":"Functions plot classes sir, mic disk, support base R ggplot2. Especially scale_*_mic() functions relevant wrappers plot MIC values ggplot2. allows custom MIC ranges plot intermediate log2 levels missing MIC values.","code":""},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plotting for Classes sir, mic and disk — plot","text":"","code":"scale_x_mic(keep_operators = \"edges\", mic_range = NULL, drop = FALSE, ...)  scale_y_mic(keep_operators = \"edges\", mic_range = NULL, drop = FALSE, ...)  scale_colour_mic(keep_operators = \"edges\", mic_range = NULL, drop = FALSE, ...)  scale_fill_mic(keep_operators = \"edges\", mic_range = NULL, drop = FALSE, ...)  # S3 method for mic plot(   x,   mo = NULL,   ab = NULL,   guideline = \"EUCAST\",   main = deparse(substitute(x)),   ylab = translate_AMR(\"Frequency\", language = language),   xlab = translate_AMR(\"Minimum Inhibitory Concentration (mg/L)\", language = language),   colours_SIR = c(\"#3CAEA3\", \"#F6D55C\", \"#ED553B\"),   language = get_AMR_locale(),   expand = TRUE,   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   ... )  # S3 method for mic autoplot(   object,   mo = NULL,   ab = NULL,   guideline = \"EUCAST\",   title = deparse(substitute(object)),   ylab = translate_AMR(\"Frequency\", language = language),   xlab = translate_AMR(\"Minimum Inhibitory Concentration (mg/L)\", language = language),   colours_SIR = c(\"#3CAEA3\", \"#F6D55C\", \"#ED553B\"),   language = get_AMR_locale(),   expand = TRUE,   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   ... )  # S3 method for mic fortify(object, ...)  # S3 method for disk plot(   x,   main = deparse(substitute(x)),   ylab = translate_AMR(\"Frequency\", language = language),   xlab = translate_AMR(\"Disk diffusion diameter (mm)\", language = language),   mo = NULL,   ab = NULL,   guideline = \"EUCAST\",   colours_SIR = c(\"#3CAEA3\", \"#F6D55C\", \"#ED553B\"),   language = get_AMR_locale(),   expand = TRUE,   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   ... )  # S3 method for disk autoplot(   object,   mo = NULL,   ab = NULL,   title = deparse(substitute(object)),   ylab = translate_AMR(\"Frequency\", language = language),   xlab = translate_AMR(\"Disk diffusion diameter (mm)\", language = language),   guideline = \"EUCAST\",   colours_SIR = c(\"#3CAEA3\", \"#F6D55C\", \"#ED553B\"),   language = get_AMR_locale(),   expand = TRUE,   include_PKPD = getOption(\"AMR_include_PKPD\", TRUE),   breakpoint_type = getOption(\"AMR_breakpoint_type\", \"human\"),   ... )  # S3 method for disk fortify(object, ...)  # S3 method for sir plot(   x,   ylab = translate_AMR(\"Percentage\", language = language),   xlab = translate_AMR(\"Antimicrobial Interpretation\", language = language),   main = deparse(substitute(x)),   language = get_AMR_locale(),   ... )  # S3 method for sir autoplot(   object,   title = deparse(substitute(object)),   xlab = translate_AMR(\"Antimicrobial Interpretation\", language = language),   ylab = translate_AMR(\"Frequency\", language = language),   colours_SIR = c(\"#3CAEA3\", \"#F6D55C\", \"#ED553B\"),   language = get_AMR_locale(),   ... )  # S3 method for sir fortify(object, ...)"},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plotting for Classes sir, mic and disk — plot","text":"keep_operators character specifying handle operators (> <=) input. Accepts one three values: \"\" (TRUE) keep operators, \"none\" (FALSE) remove operators, \"edges\" keep operators ends range. mic_range manual range limit MIC values, e.g., mic_range = c(0.001, 32). Use NA set limit one side, e.g., mic_range = c(NA, 32). drop logical remove intermediate MIC values, defaults FALSE ... arguments passed methods x, object values created .mic(), .disk() .sir() (random_* variants, random_mic()) mo (vector ) text can coerced valid microorganism code .mo() ab (vector ) text can coerced valid antimicrobial drug code .ab() guideline interpretation guideline use - default latest included EUCAST guideline, see Details main, title title plot xlab, ylab axis title colours_SIR colours use filling bars, must vector three values (order S, R). default colours colour-blind friendly. language language used translate 'Susceptible', 'Increased exposure'/'Intermediate' 'Resistant' - default system language (see get_AMR_locale()) can overwritten setting package option AMR_locale, e.g. options(AMR_locale = \"de\"), see translate. Use language = NULL language = \"\" prevent translation. expand logical indicate whether range x axis expanded lowest highest value. MIC values, intermediate values factors 2 starting highest MIC value. disk diameters, whole diameter range filled. include_PKPD logical indicate PK/PD clinical breakpoints must applied last resort - default TRUE. Can also set package option AMR_include_PKPD. breakpoint_type type breakpoints use, either \"ECOFF\", \"animal\", \"human\". ECOFF stands Epidemiological Cut-values. default \"human\", can also set package option AMR_breakpoint_type. host set values veterinary species, automatically set \"animal\".","code":""},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plotting for Classes sir, mic and disk — plot","text":"autoplot() functions return ggplot model extendible ggplot2 function. fortify() functions return data.frame extension usage ggplot2::ggplot() function.","code":""},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plotting for Classes sir, mic and disk — plot","text":"interpretation \"\" named \"Increased exposure\" EUCAST guidelines since 2019, named \"Intermediate\" cases. interpreting MIC values well disk diffusion diameters, supported guidelines used input guideline argument : \"EUCAST 2023\", \"EUCAST 2022\", \"EUCAST 2021\", \"EUCAST 2020\", \"EUCAST 2019\", \"EUCAST 2018\", \"EUCAST 2017\", \"EUCAST 2016\", \"EUCAST 2015\", \"EUCAST 2014\", \"EUCAST 2013\", \"EUCAST 2012\", \"EUCAST 2011\", \"CLSI 2023\", \"CLSI 2022\", \"CLSI 2021\", \"CLSI 2020\", \"CLSI 2019\", \"CLSI 2018\", \"CLSI 2017\", \"CLSI 2016\", \"CLSI 2015\", \"CLSI 2014\", \"CLSI 2013\", \"CLSI 2012\", \"CLSI 2011\". Simply using \"CLSI\" \"EUCAST\" input automatically select latest version guideline.","code":""},{"path":"https://msberends.github.io/AMR/reference/plot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plotting for Classes sir, mic and disk — plot","text":"","code":"some_mic_values <- random_mic(size = 100) some_disk_values <- random_disk(size = 100, mo = \"Escherichia coli\", ab = \"cipro\") some_sir_values <- random_sir(50, prob_SIR = c(0.55, 0.05, 0.30))  plot(some_mic_values)  plot(some_disk_values)  plot(some_sir_values)   # when providing the microorganism and antibiotic, colours will show interpretations: plot(some_mic_values, mo = \"S. aureus\", ab = \"ampicillin\")  plot(some_disk_values, mo = \"Escherichia coli\", ab = \"cipro\")  plot(some_disk_values, mo = \"Escherichia coli\", ab = \"cipro\", language = \"nl\")    # Plotting using scale_x_mic() # \\donttest{ if (require(\"ggplot2\")) {   mic_plot <- ggplot(data.frame(mics = as.mic(c(0.125, \"<=4\", 4, 8, 32, \">=32\")),                                 counts = c(1, 1, 2, 2, 3, 3)),                      aes(mics, counts)) +     geom_col()   mic_plot +     labs(title = \"without scale_x_mic()\") }  if (require(\"ggplot2\")) {   mic_plot +     scale_x_mic() +     labs(title = \"with scale_x_mic()\") }  if (require(\"ggplot2\")) {   mic_plot +     scale_x_mic(keep_operators = \"all\") +     labs(title = \"with scale_x_mic() keeping all operators\") }  if (require(\"ggplot2\")) {   mic_plot +     scale_x_mic(mic_range = c(1, 128)) +     labs(title = \"with scale_x_mic() using a manual range\") }   if (require(\"ggplot2\")) {   autoplot(some_mic_values) }  if (require(\"ggplot2\")) {   autoplot(some_disk_values, mo = \"Escherichia coli\", ab = \"cipro\") }  if (require(\"ggplot2\")) {   autoplot(some_sir_values) }  # }"},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate Antimicrobial Resistance — proportion","title":"Calculate Antimicrobial Resistance — proportion","text":"functions can used calculate (co-)resistance susceptibility microbial isolates (.e. percentage S, SI, , IR R). functions support quasiquotation pipes, can used summarise() dplyr package also support grouped variables, see Examples. resistance() used calculate resistance, susceptibility() used calculate susceptibility.","code":""},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate Antimicrobial Resistance — proportion","text":"","code":"resistance(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  susceptibility(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  sir_confidence_interval(   ...,   ab_result = \"R\",   minimum = 30,   as_percent = FALSE,   only_all_tested = FALSE,   confidence_level = 0.95,   side = \"both\",   collapse = FALSE )  proportion_R(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  proportion_IR(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  proportion_I(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  proportion_SI(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  proportion_S(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)  proportion_df(   data,   translate_ab = \"name\",   language = get_AMR_locale(),   minimum = 30,   as_percent = FALSE,   combine_SI = TRUE,   confidence_level = 0.95 )  sir_df(   data,   translate_ab = \"name\",   language = get_AMR_locale(),   minimum = 30,   as_percent = FALSE,   combine_SI = TRUE,   confidence_level = 0.95 )"},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Calculate Antimicrobial Resistance — proportion","text":"M39 Analysis Presentation Cumulative Antimicrobial Susceptibility Test Data, 5th Edition, 2022, Clinical Laboratory Standards Institute (CLSI). https://clsi.org/standards/products/microbiology/documents/m39/.","code":""},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate Antimicrobial Resistance — proportion","text":"... one vectors (columns) antibiotic interpretations. transformed internally .sir() needed. Use multiple columns calculate (lack ) co-resistance: probability one two drugs resistant susceptible result. See Examples. minimum minimum allowed number available (tested) isolates. isolate count lower minimum return NA warning. default number 30 isolates advised Clinical Laboratory Standards Institute (CLSI) best practice, see Source. as_percent logical indicate whether output must returned hundred fold % sign (character). value 0.123456 returned \"12.3%\". only_all_tested (combination therapies, .e. using one variable ...): logical indicate isolates must tested antibiotics, see section Combination Therapy ab_result antibiotic results test , must one values \"S\", \"\", \"R\" confidence_level confidence level returned confidence interval. calculation, number S SI isolates, R isolates compared total number available isolates R, S, using binom.test(), .e., Clopper-Pearson method. side side confidence interval return. default \"\" length 2 vector, can also (abbreviated ) \"min\"/\"left\"/\"lower\"/\"less\" \"max\"/\"right\"/\"higher\"/\"greater\". collapse logical indicate whether output values 'collapsed', .e. merged together one value, character value use collapsing data data.frame containing columns class sir (see .sir()) translate_ab column name antibiotics data set translate antibiotic abbreviations , using ab_property() language language returned text - default current system language (see get_AMR_locale()) can also set package option AMR_locale. Use language = NULL language = \"\" prevent translation. combine_SI logical indicate whether values S must merged one, output consists S+vs. R (susceptible vs. resistant) - default TRUE","code":""},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate Antimicrobial Resistance — proportion","text":"double , as_percent = TRUE, character.","code":""},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate Antimicrobial Resistance — proportion","text":"Remember filter data let contain first isolates! needed exclude duplicates reduce selection bias. Use first_isolate() determine data set one four available algorithms. function resistance() equal function proportion_R(). function susceptibility() equal function proportion_SI(). Use sir_confidence_interval() calculate confidence interval, relies binom.test(), .e., Clopper-Pearson method. function returns vector length 2 default antimicrobial resistance. Change side argument \"left\"/\"min\" \"right\"/\"max\" return single value, change ab_result argument e.g. c(\"S\", \"\") test antimicrobial susceptibility, see Examples. functions meant count isolates, calculate proportion resistance/susceptibility. Use count_*() functions count isolates. function susceptibility() essentially equal count_susceptible()/count_all(). Low counts can influence outcome - proportion_*() functions may camouflage , since return proportion (albeit dependent minimum argument). function proportion_df() takes variable data sir class (created .sir()) calculates proportions S, , R. also supports grouped variables. function sir_df() works exactly like proportion_df(), adds number isolates.","code":""},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"combination-therapy","dir":"Reference","previous_headings":"","what":"Combination Therapy","title":"Calculate Antimicrobial Resistance — proportion","text":"using one variable ... (= combination therapy), use only_all_tested count isolates tested antibiotics/variables test . See example two antibiotics, Drug Drug B, susceptibility() works calculate %SI:   Please note , combination therapies, only_all_tested = TRUE applies :   , combination therapies, only_all_tested = FALSE applies :   Using only_all_tested impact using one antibiotic input.","code":"--------------------------------------------------------------------                     only_all_tested = FALSE  only_all_tested = TRUE                     -----------------------  -----------------------  Drug A    Drug B   include as  include as   include as  include as                     numerator   denominator  numerator   denominator --------  --------  ----------  -----------  ----------  -----------  S or I    S or I       X            X            X            X    R       S or I       X            X            X            X   <NA>     S or I       X            X            -            -  S or I      R          X            X            X            X    R         R          -            X            -            X   <NA>       R          -            -            -            -  S or I     <NA>        X            X            -            -    R        <NA>        -            -            -            -   <NA>      <NA>        -            -            -            - -------------------------------------------------------------------- count_S()    +   count_I()    +   count_R()    = count_all()   proportion_S() + proportion_I() + proportion_R() = 1 count_S()    +   count_I()    +   count_R()    >= count_all()   proportion_S() + proportion_I() + proportion_R() >= 1"},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"interpretation-of-sir","dir":"Reference","previous_headings":"","what":"Interpretation of SIR","title":"Calculate Antimicrobial Resistance — proportion","text":"2019, European Committee Antimicrobial Susceptibility Testing (EUCAST) decided change definitions susceptibility testing categories S, , R shown (https://www.eucast.org/newsiandr): S - Susceptible, standard dosing regimen microorganism categorised \"Susceptible, standard dosing regimen\", high likelihood therapeutic success using standard dosing regimen agent. - Susceptible, increased exposure  microorganism categorised \"Susceptible, Increased exposure\" high likelihood therapeutic success exposure agent increased adjusting dosing regimen concentration site infection. R = Resistant microorganism categorised \"Resistant\" high likelihood therapeutic failure even increased exposure. Exposure function mode administration, dose, dosing interval, infusion time, well distribution excretion antimicrobial agent influence infecting organism site infection. AMR package honours insight. Use susceptibility() (equal proportion_SI()) determine antimicrobial susceptibility count_susceptible() (equal count_SI()) count susceptible isolates.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/proportion.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate Antimicrobial Resistance — proportion","text":"","code":"# example_isolates is a data set available in the AMR package. # run ?example_isolates for more info. example_isolates #> # A tibble: 2,000 × 46 #>    date       patient   age gender ward     mo           PEN   OXA   FLC   AMX   #>    <date>     <chr>   <dbl> <chr>  <chr>    <mo>         <sir> <sir> <sir> <sir> #>  1 2002-01-02 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  2 2002-01-03 A77334     65 F      Clinical B_ESCHR_COLI R     NA    NA    NA    #>  3 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  4 2002-01-07 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  5 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  6 2002-01-13 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #>  7 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  8 2002-01-14 462729     78 M      Clinical B_STPHY_AURS R     NA    S     R     #>  9 2002-01-16 067927     45 F      ICU      B_STPHY_EPDR R     NA    R     NA    #> 10 2002-01-17 858515     79 F      ICU      B_STPHY_EPDR R     NA    S     NA    #> # ℹ 1,990 more rows #> # ℹ 36 more variables: AMC <sir>, AMP <sir>, TZP <sir>, CZO <sir>, FEP <sir>, #> #   CXM <sir>, FOX <sir>, CTX <sir>, CAZ <sir>, CRO <sir>, GEN <sir>, #> #   TOB <sir>, AMK <sir>, KAN <sir>, TMP <sir>, SXT <sir>, NIT <sir>, #> #   FOS <sir>, LNZ <sir>, CIP <sir>, MFX <sir>, VAN <sir>, TEC <sir>, #> #   TCY <sir>, TGC <sir>, DOX <sir>, ERY <sir>, CLI <sir>, AZM <sir>, #> #   IPM <sir>, MEM <sir>, MTR <sir>, CHL <sir>, COL <sir>, MUP <sir>, …   # base R ------------------------------------------------------------ # determines %R resistance(example_isolates$AMX) #> [1] 0.5955556 sir_confidence_interval(example_isolates$AMX) #> [1] 0.5688204 0.6218738 sir_confidence_interval(example_isolates$AMX,   confidence_level = 0.975 ) #> [1] 0.5650148 0.6255670 sir_confidence_interval(example_isolates$AMX,   confidence_level = 0.975,   collapse = \", \" ) #> [1] \"0.565, 0.626\"  # determines %S+I: susceptibility(example_isolates$AMX) #> [1] 0.4044444 sir_confidence_interval(example_isolates$AMX,   ab_result = c(\"S\", \"I\") ) #> [1] 0.3781262 0.4311796  # be more specific proportion_S(example_isolates$AMX) #> [1] 0.4022222 proportion_SI(example_isolates$AMX) #> [1] 0.4044444 proportion_I(example_isolates$AMX) #> [1] 0.002222222 proportion_IR(example_isolates$AMX) #> [1] 0.5977778 proportion_R(example_isolates$AMX) #> [1] 0.5955556  # dplyr ------------------------------------------------------------- # \\donttest{ if (require(\"dplyr\")) {   example_isolates %>%     group_by(ward) %>%     summarise(       r = resistance(CIP),       n = n_sir(CIP)     ) # n_sir works like n_distinct in dplyr, see ?n_sir } #> # A tibble: 3 × 3 #>   ward           r     n #>   <chr>      <dbl> <int> #> 1 Clinical   0.147   869 #> 2 ICU        0.190   447 #> 3 Outpatient 0.161    93 if (require(\"dplyr\")) {   example_isolates %>%     group_by(ward) %>%     summarise(       cipro_R = resistance(CIP),       ci_min = sir_confidence_interval(CIP, side = \"min\"),       ci_max = sir_confidence_interval(CIP, side = \"max\"),     ) } #> # A tibble: 3 × 4 #>   ward       cipro_R ci_min ci_max #>   <chr>        <dbl>  <dbl>  <dbl> #> 1 Clinical     0.147 0.124   0.173 #> 2 ICU          0.190 0.155   0.230 #> 3 Outpatient   0.161 0.0932  0.252 if (require(\"dplyr\")) {   # scoped dplyr verbs with antibiotic selectors   # (you could also use across() of course)   example_isolates %>%     group_by(ward) %>%     summarise_at(       c(aminoglycosides(), carbapenems()),       resistance     ) } #> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' #>   (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin) #> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem) #> Warning: There was 1 warning in `summarise()`. #> ℹ In argument: `KAN = (function (..., minimum = 30, as_percent = FALSE, #>   only_all_tested = FALSE) ...`. #> ℹ In group 3: `ward = \"Outpatient\"`. #> Caused by warning: #> ! Introducing NA: only 23 results available for KAN in group: ward = #> \"Outpatient\" (minimum = 30). #> # A tibble: 3 × 7 #>   ward         GEN   TOB   AMK   KAN    IPM    MEM #>   <chr>      <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl> #> 1 Clinical   0.229 0.315 0.626     1 0.0498 0.0458 #> 2 ICU        0.290 0.400 0.662     1 0.0862 0.0894 #> 3 Outpatient 0.2   0.368 0.605    NA 0.0541 0.0541 if (require(\"dplyr\")) {   example_isolates %>%     group_by(ward) %>%     summarise(       R = resistance(CIP, as_percent = TRUE),       SI = susceptibility(CIP, as_percent = TRUE),       n1 = count_all(CIP), # the actual total; sum of all three       n2 = n_sir(CIP), # same - analogous to n_distinct       total = n()     ) # NOT the number of tested isolates!    # Calculate co-resistance between amoxicillin/clav acid and gentamicin,   # so we can see that combination therapy does a lot more than mono therapy:   example_isolates %>% susceptibility(AMC) # %SI = 76.3%   example_isolates %>% count_all(AMC) #   n = 1879    example_isolates %>% susceptibility(GEN) # %SI = 75.4%   example_isolates %>% count_all(GEN) #   n = 1855    example_isolates %>% susceptibility(AMC, GEN) # %SI = 94.1%   example_isolates %>% count_all(AMC, GEN) #   n = 1939     # See Details on how `only_all_tested` works. Example:   example_isolates %>%     summarise(       numerator = count_susceptible(AMC, GEN),       denominator = count_all(AMC, GEN),       proportion = susceptibility(AMC, GEN)     )    example_isolates %>%     summarise(       numerator = count_susceptible(AMC, GEN, only_all_tested = TRUE),       denominator = count_all(AMC, GEN, only_all_tested = TRUE),       proportion = susceptibility(AMC, GEN, only_all_tested = TRUE)     )     example_isolates %>%     group_by(ward) %>%     summarise(       cipro_p = susceptibility(CIP, as_percent = TRUE),       cipro_n = count_all(CIP),       genta_p = susceptibility(GEN, as_percent = TRUE),       genta_n = count_all(GEN),       combination_p = susceptibility(CIP, GEN, as_percent = TRUE),       combination_n = count_all(CIP, GEN)     )    # Get proportions S/I/R immediately of all sir columns   example_isolates %>%     select(AMX, CIP) %>%     proportion_df(translate = FALSE)    # It also supports grouping variables   # (use sir_df to also include the count)   example_isolates %>%     select(ward, AMX, CIP) %>%     group_by(ward) %>%     sir_df(translate = FALSE) } #> # A tibble: 12 × 7 #>    ward       antibiotic interpretation value ci_min ci_max isolates #>  * <chr>      <chr>      <ord>          <dbl>  <dbl>  <dbl>    <int> #>  1 Clinical   AMX        SI             0.423 0.389   0.457      357 #>  2 Clinical   AMX        R              0.577 0.543   0.611      487 #>  3 Clinical   CIP        SI             0.853 0.827   0.876      741 #>  4 Clinical   CIP        R              0.147 0.124   0.173      128 #>  5 ICU        AMX        SI             0.369 0.323   0.417      158 #>  6 ICU        AMX        R              0.631 0.583   0.677      270 #>  7 ICU        CIP        SI             0.810 0.770   0.845      362 #>  8 ICU        CIP        R              0.190 0.155   0.230       85 #>  9 Outpatient AMX        SI             0.397 0.288   0.515       31 #> 10 Outpatient AMX        R              0.603 0.485   0.712       47 #> 11 Outpatient CIP        SI             0.839 0.748   0.907       78 #> 12 Outpatient CIP        R              0.161 0.0932  0.252       15 # }"},{"path":"https://msberends.github.io/AMR/reference/random.html","id":null,"dir":"Reference","previous_headings":"","what":"Random MIC Values/Disk Zones/SIR Generation — random","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"functions can used generating random MIC values disk diffusion diameters, AMR data analysis practice. providing microorganism antimicrobial drug, generated results reflect reality much possible.","code":""},{"path":"https://msberends.github.io/AMR/reference/random.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"","code":"random_mic(size = NULL, mo = NULL, ab = NULL, ...)  random_disk(size = NULL, mo = NULL, ab = NULL, ...)  random_sir(size = NULL, prob_SIR = c(0.33, 0.33, 0.33), ...)"},{"path":"https://msberends.github.io/AMR/reference/random.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"size desired size returned vector. used data.frame call dplyr verb, get current (group) size left blank. mo character can coerced valid microorganism code .mo() ab character can coerced valid antimicrobial drug code .ab() ... ignored, place allow future extensions prob_SIR vector length 3: probabilities \"S\" (1st value), \"\" (2nd value) \"R\" (3rd value)","code":""},{"path":"https://msberends.github.io/AMR/reference/random.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"class mic random_mic() (see .mic()) class disk random_disk() (see .disk())","code":""},{"path":"https://msberends.github.io/AMR/reference/random.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"base R function sample() used generating values. Generated values based EUCAST 2023 guideline implemented clinical_breakpoints data set. create specific generated values per bug drug, set mo /ab argument.","code":""},{"path":"https://msberends.github.io/AMR/reference/random.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Random MIC Values/Disk Zones/SIR Generation — random","text":"","code":"random_mic(25) #> Class 'mic' #>  [1] 16     64     256    0.002  1      0.001  64     0.25   1      16     #> [11] 0.5    8      8      0.0625 1      0.5    0.025  256    256    1      #> [21] 0.01   1      64     32     4      random_disk(25) #> Class 'disk' #>  [1] 49 47 14 33 49 43 41 41 43 31 20 43 42 11 18 42  8 42 16 25 42  8 15 30 29 random_sir(25) #> Class 'sir' #>  [1] I S S I S I I S R S S I I S S I I S I R S S R I S  # \\donttest{ # make the random generation more realistic by setting a bug and/or drug: random_mic(25, \"Klebsiella pneumoniae\") # range 0.0625-64 #> Class 'mic' #>  [1] 64     0.025  2      0.25   32     64     0.002  32     0.01   0.001  #> [11] 0.25   0.125  0.0625 64     128    0.002  128    128    1      0.002  #> [21] 1      0.005  0.001  4      0.001  random_mic(25, \"Klebsiella pneumoniae\", \"meropenem\") # range 0.0625-16 #> Class 'mic' #>  [1] 1    2    1    >=16 8    1    >=16 >=16 2    1    2    1    1    8    4    #> [16] 1    1    4    2    >=16 >=16 2    4    2    1    random_mic(25, \"Streptococcus pneumoniae\", \"meropenem\") # range 0.0625-4 #> Class 'mic' #>  [1] 2     0.25  >=8   >=8   0.5   1     1     0.125 0.25  1     2     1     #> [13] 0.25  >=8   0.25  2     1     1     >=8   0.125 0.5   >=8   0.125 0.25  #> [25] 0.25   random_disk(25, \"Klebsiella pneumoniae\") # range 8-50 #> Class 'disk' #>  [1] 45 49 24 46 23 18 15 17 17 28 40 20 21 43 39  9 33 17  8 20 30 21 44 48 41 random_disk(25, \"Klebsiella pneumoniae\", \"ampicillin\") # range 11-17 #> Class 'disk' #>  [1] 13 15 11 14 16 16 11 15 11 17 14 15 17 17 16 16 16 12 14 12 15 13 13 13 16 random_disk(25, \"Streptococcus pneumoniae\", \"ampicillin\") # range 12-27 #> Class 'disk' #>  [1] 22 23 19 19 23 15 23 18 21 24 22 25 19 19 16 17 17 16 27 21 27 25 15 21 27 # }"},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict Antimicrobial Resistance — resistance_predict","title":"Predict Antimicrobial Resistance — resistance_predict","text":"Create prediction model predict antimicrobial resistance next years statistical solid ground. Standard errors (SE) returned columns se_min se_max. See Examples real live example.","code":""},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict Antimicrobial Resistance — resistance_predict","text":"","code":"resistance_predict(   x,   col_ab,   col_date = NULL,   year_min = NULL,   year_max = NULL,   year_every = 1,   minimum = 30,   model = NULL,   I_as_S = TRUE,   preserve_measurements = TRUE,   info = interactive(),   ... )  sir_predict(   x,   col_ab,   col_date = NULL,   year_min = NULL,   year_max = NULL,   year_every = 1,   minimum = 30,   model = NULL,   I_as_S = TRUE,   preserve_measurements = TRUE,   info = interactive(),   ... )  # S3 method for resistance_predict plot(x, main = paste(\"Resistance Prediction of\", x_name), ...)  ggplot_sir_predict(   x,   main = paste(\"Resistance Prediction of\", x_name),   ribbon = TRUE,   ... )  # S3 method for resistance_predict autoplot(   object,   main = paste(\"Resistance Prediction of\", x_name),   ribbon = TRUE,   ... )"},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict Antimicrobial Resistance — resistance_predict","text":"x data.frame containing isolates. Can left blank automatic determination, see Examples. col_ab column name x containing antimicrobial interpretations (\"R\", \"\" \"S\") col_date column name date, used calculate years column consist years already - default first column date class year_min lowest year use prediction model, dafaults lowest year col_date year_max highest year use prediction model - default 10 years today year_every unit sequence lowest year found data year_max minimum minimal amount available isolates per year include. Years containing less observations estimated model. model statistical model choice. generalised linear regression model binomial distribution (.e. using glm(..., family = binomial), assuming period zero resistance followed period increasing resistance leading slowly resistance. See Details valid options. I_as_S logical indicate whether values \"\" treated \"S\" (otherwise treated \"R\"). default, TRUE, follows redefinition EUCAST interpretation (increased exposure) 2019, see section Interpretation S, R . preserve_measurements logical indicate whether predictions years actually available data overwritten original data. standard errors years NA. info logical indicate whether textual analysis printed name summary() statistical model. ... arguments passed functions main title plot ribbon logical indicate whether ribbon shown (default) error bars object model data plotted","code":""},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Predict Antimicrobial Resistance — resistance_predict","text":"data.frame extra class resistance_predict columns: year value, estimated preserve_measurements = FALSE, combination observed estimated otherwise se_min, lower bound standard error minimum 0 (standard error never go 0%) se_max upper bound standard error maximum 1 (standard error never go 100%) observations, total number available observations year, .e. \\(S + + R\\) observed, original observed resistant percentages estimated, estimated resistant percentages, calculated model Furthermore, model available attribute: attributes(x)$model, see Examples.","code":""},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Predict Antimicrobial Resistance — resistance_predict","text":"Valid options statistical model (argument model) : \"binomial\" \"binom\" \"logit\": generalised linear regression model binomial distribution \"loglin\" \"poisson\": generalised log-linear regression model poisson distribution \"lin\" \"linear\": linear regression model","code":""},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"interpretation-of-sir","dir":"Reference","previous_headings":"","what":"Interpretation of SIR","title":"Predict Antimicrobial Resistance — resistance_predict","text":"2019, European Committee Antimicrobial Susceptibility Testing (EUCAST) decided change definitions susceptibility testing categories S, , R shown (https://www.eucast.org/newsiandr): S - Susceptible, standard dosing regimen microorganism categorised \"Susceptible, standard dosing regimen\", high likelihood therapeutic success using standard dosing regimen agent. - Susceptible, increased exposure  microorganism categorised \"Susceptible, Increased exposure\" high likelihood therapeutic success exposure agent increased adjusting dosing regimen concentration site infection. R = Resistant microorganism categorised \"Resistant\" high likelihood therapeutic failure even increased exposure. Exposure function mode administration, dose, dosing interval, infusion time, well distribution excretion antimicrobial agent influence infecting organism site infection. AMR package honours insight. Use susceptibility() (equal proportion_SI()) determine antimicrobial susceptibility count_susceptible() (equal count_SI()) count susceptible isolates.","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/resistance_predict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Predict Antimicrobial Resistance — resistance_predict","text":"","code":"x <- resistance_predict(example_isolates,   col_ab = \"AMX\",   year_min = 2010,   model = \"binomial\" ) plot(x)  # \\donttest{ if (require(\"ggplot2\")) {   ggplot_sir_predict(x) }   # using dplyr: if (require(\"dplyr\")) {   x <- example_isolates %>%     filter_first_isolate() %>%     filter(mo_genus(mo) == \"Staphylococcus\") %>%     resistance_predict(\"PEN\", model = \"binomial\")   print(plot(x))    # get the model from the object   mymodel <- attributes(x)$model   summary(mymodel) }  #> NULL #>  #> Call: #> glm(formula = df_matrix ~ year, family = binomial) #>  #> Coefficients: #>             Estimate Std. Error z value Pr(>|z|) #> (Intercept) 27.05312   72.24652   0.374    0.708 #> year        -0.01286    0.03601  -0.357    0.721 #>  #> (Dispersion parameter for binomial family taken to be 1) #>  #>     Null deviance: 5.7883  on 11  degrees of freedom #> Residual deviance: 5.6608  on 10  degrees of freedom #> AIC: 50.745 #>  #> Number of Fisher Scoring iterations: 4 #>   # create nice plots with ggplot2 yourself if (require(\"dplyr\") && require(\"ggplot2\")) {   data <- example_isolates %>%     filter(mo == as.mo(\"E. coli\")) %>%     resistance_predict(       col_ab = \"AMX\",       col_date = \"date\",       model = \"binomial\",       info = FALSE,       minimum = 15     )   head(data)   autoplot(data) }  # }"},{"path":"https://msberends.github.io/AMR/reference/skewness.html","id":null,"dir":"Reference","previous_headings":"","what":"Skewness of the Sample — skewness","title":"Skewness of the Sample — skewness","text":"Skewness measure asymmetry probability distribution real-valued random variable mean. negative ('left-skewed'): left tail longer; mass distribution concentrated right histogram. positive ('right-skewed'): right tail longer; mass distribution concentrated left histogram. normal distribution skewness 0.","code":""},{"path":"https://msberends.github.io/AMR/reference/skewness.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Skewness of the Sample — skewness","text":"","code":"skewness(x, na.rm = FALSE)  # S3 method for default skewness(x, na.rm = FALSE)  # S3 method for matrix skewness(x, na.rm = FALSE)  # S3 method for data.frame skewness(x, na.rm = FALSE)"},{"path":"https://msberends.github.io/AMR/reference/skewness.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Skewness of the Sample — skewness","text":"x vector values, matrix data.frame na.rm logical value indicating whether NA values stripped computation proceeds","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/reference/skewness.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Skewness of the Sample — skewness","text":"","code":"skewness(runif(1000)) #> [1] -0.03310027"},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":null,"dir":"Reference","previous_headings":"","what":"Translate Strings from the AMR Package — translate","title":"Translate Strings from the AMR Package — translate","text":"language-dependent output AMR functions, mo_name(), mo_gramstain(), mo_type() ab_name().","code":""},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Translate Strings from the AMR Package — translate","text":"","code":"get_AMR_locale()  set_AMR_locale(language)  reset_AMR_locale()  translate_AMR(x, language = get_AMR_locale())"},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Translate Strings from the AMR Package — translate","text":"language language choose. Use one supported language names ISO-639-1 codes: English (en), Chinese (zh), Czech (cs), Danish (da), Dutch (nl), Finnish (fi), French (fr), German (de), Greek (el), Italian (), Japanese (ja), Norwegian (), Polish (pl), Portuguese (pt), Romanian (ro), Russian (ru), Spanish (es), Swedish (sv), Turkish (tr), Ukrainian (uk). x text translate","code":""},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Translate Strings from the AMR Package — translate","text":"currently 20 supported languages English (en), Chinese (zh), Czech (cs), Danish (da), Dutch (nl), Finnish (fi), French (fr), German (de), Greek (el), Italian (), Japanese (ja), Norwegian (), Polish (pl), Portuguese (pt), Romanian (ro), Russian (ru), Spanish (es), Swedish (sv), Turkish (tr), Ukrainian (uk). languages translations available antimicrobial drugs colloquial microorganism names. permanently silence -per-session language note non-English operating system, can set package option AMR_locale .Rprofile file like :   save file. Please read adding updating language Wiki.","code":"# Open .Rprofile file utils::file.edit(\"~/.Rprofile\")  # Then add e.g. Italian support to that file using: options(AMR_locale = \"Italian\")"},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":"changing-the-default-language","dir":"Reference","previous_headings":"","what":"Changing the Default Language","title":"Translate Strings from the AMR Package — translate","text":"system language used default (returned Sys.getenv(\"LANG\") , LANG set, Sys.getlocale(\"LC_COLLATE\")), language supported. language used can overwritten two ways checked order: Setting package option AMR_locale, either using e.g. set_AMR_locale(\"German\") running e.g. options(AMR_locale = \"German\"). Note setting R option works session. Save command options(AMR_locale = \"(language)\") .Rprofile file apply every session. Run utils::file.edit(\"~/.Rprofile\") edit .Rprofile file. Setting system variable LANGUAGE LANG, e.g. adding LANGUAGE=\"de_DE.utf8\" .Renviron file home directory. Thus, package option AMR_locale set, system variables LANGUAGE LANG ignored.","code":""},{"path":"https://msberends.github.io/AMR/reference/translate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Translate Strings from the AMR Package — translate","text":"","code":"# Current settings (based on system language) ab_name(\"Ciprofloxacin\") #> [1] \"Ciprofloxacin\" mo_name(\"Coagulase-negative Staphylococcus (CoNS)\") #> [1] \"Coagulase-negative Staphylococcus (CoNS)\"  # setting another language set_AMR_locale(\"Dutch\") #> ℹ Using Dutch (Nederlands) for the AMR package for this session. ab_name(\"Ciprofloxacin\") #> [1] \"Ciprofloxacine\" mo_name(\"Coagulase-negative Staphylococcus (CoNS)\") #> [1] \"Coagulase-negatieve Staphylococcus (CNS)\"  # setting yet another language set_AMR_locale(\"German\") #> ℹ Using German (Deutsch) for the AMR package for this session. ab_name(\"Ciprofloxacin\") #> [1] \"Ciprofloxacin\" mo_name(\"Coagulase-negative Staphylococcus (CoNS)\") #> [1] \"Koagulase-negative Staphylococcus (KNS)\"  # set_AMR_locale() understands endonyms, English exonyms, and ISO-639-1: set_AMR_locale(\"Deutsch\") #> ℹ Using German (Deutsch) for the AMR package for this session. set_AMR_locale(\"German\") #> ℹ Using German (Deutsch) for the AMR package for this session. set_AMR_locale(\"de\") #> ℹ Using German (Deutsch) for the AMR package for this session. ab_name(\"amox/clav\") #> ℹ More than one result was found for item 1: amoxicillin and clavulansäure #> [1] \"Amoxicillin/Clavulansäure\"  # reset to system default reset_AMR_locale() #> ℹ Using the English language (English) for the AMR package for this #>   session. ab_name(\"amox/clav\") #> [1] \"Amoxicillin/clavulanic acid\""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"amr-2119013","dir":"Changelog","previous_headings":"","what":"AMR 2.1.1.9013","title":"AMR 2.1.1.9013","text":"(beta version eventually become v3.0. ’re happy reach new major milestone soon, new One Health support!)","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"a-new-milestone-one-health-support--human--veterinary--environmental-2-1-1-9013","dir":"Changelog","previous_headings":"","what":"A New Milestone: One Health Support (= Human + Veterinary + Environmental)","title":"AMR 2.1.1.9013","text":"package now supports tools AMR data analysis clinical settings, also veterinary environmental microbiology. made possible collaboration University Prince Edward Island, Canada. celebrate great improvement package, also updated package logo reflect change.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"breaking-2-1-1-9013","dir":"Changelog","previous_headings":"","what":"Breaking","title":"AMR 2.1.1.9013","text":"Removed functions references used deprecated rsi class, replaced sir equivalents year ago","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"new-2-1-1-9013","dir":"Changelog","previous_headings":"","what":"New","title":"AMR 2.1.1.9013","text":"function group scale_*_mic(), namely: scale_x_mic(), scale_y_mic(), scale_colour_mic() scale_fill_mic(). advanced ggplot2 extensions allow easy plotting MIC values. allow manual range definition plotting missing intermediate log2 levels. Function limit_mic_range(), allows limit MIC values manually set range. powerhouse behind scale_*_mic() functions, can used users directly e.g. compare equality MIC distributions rescaling range first. Function .sir() now supports animal breakpoints CLSI. Use breakpoint_type = \"animal\" set host argument variable contains animal species names. clinical_breakpoints data set contains breakpoints, can downloaded download page. antibiotics data set contains veterinary antibiotics, pradofloxacin enrofloxacin. WHOCC codes veterinary use added well. ab_atc() now supports ATC codes veterinary antibiotics (start “Q”) ab_url() now supports retrieving WHOCC url ATCvet pages","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"changed-2-1-1-9013","dir":"Changelog","previous_headings":"","what":"Changed","title":"AMR 2.1.1.9013","text":"Added valid levels: 4096, 6 powers 0.0625, 5 powers 192 (192, 384, 576, 768, 960) Added new argument keep_operators .mic(). can \"\" (default), \"none\", \"edges\". argument also available new limit_mic_range() scale_*_mic() functions. Updated italicise_taxonomy() support HTML Greatly improved vctrs integration, Tidyverse package working background many Tidyverse functions. users, means dplyr::rowwise() dplyr::c_across() now supported e.g. columns class mic. Despite , AMR package still zero-dependent package, including dplyr vctrs. Updated ATC codes WHOCC Updated antibiotic DDDs WHOCC","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"other-2-1-1-9013","dir":"Changelog","previous_headings":"","what":"Other","title":"AMR 2.1.1.9013","text":"Added Jordan Stull, Matthew Saab, Javier Sanchez contributors, thank valuable input","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"amr-211","dir":"Changelog","previous_headings":"","what":"AMR 2.1.1","title":"AMR 2.1.1","text":"CRAN release: 2023-10-21 included many isolates patients altering antibiograms within bacterial species See info issue #122 Added 1,366 LOINC codes antibiotics data set updated latest version (LOINC v2.76) MICs can now used complex number calculations allow scientific number format input (e.g., .mic(\"1.28e-2\")) Fix rounding MICs latest R beta (‘R-devel’) Removed unneeded note used language option AMR_locale set Fixed non-ASCII characters documentation, according CRAN maintainers","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"amr-210","dir":"Changelog","previous_headings":"","what":"AMR 2.1.0","title":"AMR 2.1.0","text":"CRAN release: 2023-07-16","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"new-2-1-0","dir":"Changelog","previous_headings":"","what":"New","title":"AMR 2.1.0","text":"Clinical breakpoints intrinsic resistance EUCAST 2023 CLSI 2023 added clinical_breakpoints data set usage .sir(). EUCAST 2023 (v13.0) now new default guideline MIC disks diffusion interpretations EUCAST dosage guideline v13.0 added dosage data set clinical_breakpoints data set now also contains epidemiological cut-(ECOFF) values CLSI animal breakpoints. two new breakpoint types can used MIC/disk interpretation using .sir(..., breakpoint_type = \"ECOFF\") oras.sir(..., breakpoint_type = \"animal\"), important new addition veterinary microbiology. Added support 30 species groups / complexes. gathered new data set microorganisms.groups used clinical breakpoint interpretation. example, CLSI 2023 contains breakpoints RGM group (Rapidly Growing Mycobacterium, containing 80 species) now supported package. Added mo_oxygen_tolerance() retrieve values Added mo_is_anaerobic() determine genera/species obligate anaerobic bacteria Added LPSN GBIF identifiers, oxygen tolerance mo_info() Added SAS Transport files (file extension .xpt) download page use SAS software Added microbial codes Gram-negative/positive anaerobic bacteria","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"changed-2-1-0","dir":"Changelog","previous_headings":"","what":"Changed","title":"AMR 2.1.0","text":"Updated algorithm .mo() giving weight fungi Fixed clinical breakpoints errors introduced source import rules mo_rank() now returns NA ‘unknown’ microorganisms (B_ANAER, B_ANAER-NEG, B_ANAER-POS, B_GRAMN, B_GRAMP, F_FUNGUS, F_YEAST, UNKNOWN) printing microorganism antibiotic codes tibble, mouse-hover now shows full name code Now settable arguments breakpoint type PK/PD, like .sir() now contain name guideline table subtitle plot Fixed formatting sir_interpretation_history() Fixed WHONET codes microorganisms consequently couple entries clinical_breakpoints Fixed bug .mo() led coercion NA values using custom microorganism codes Fixed usage icu_exclude first_isolates() Now allows searching species names Fix using keep_synonyms argument using MO codes input Fix using minimum_matching_score argument Updated code table microorganisms.codes Fixed endless loop using reference_df .mo() Fixed bug indicating UTIs .sir() Greatly improved speed .sir()","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"amr-200","dir":"Changelog","previous_headings":"","what":"AMR 2.0.0","title":"AMR 2.0.0","text":"CRAN release: 2023-03-12 new major release AMR package, great new additions also breaking changes current users. listed . TL;DR functions arguments ‘rsi’ replaced ‘sir’, interpretation MIC values (now .sir() instead .rsi()) - old functions still work now Many new interesting functions, antibiogram() (generating traditional/combined/syndromic/WISCA antibiograms), sir_confidence_interval() mean_amr_distance(), add_custom_microorganisms() add custom microorganisms package Clinical breakpoints added EUCAST 2022 CLSI 2022 Microbiological taxonomy (microorganisms data set) updated 2022 now based LPSN GBIF Much increased algorithms translate user input valid taxonomy, e.g. using recent scientific work per-species human pathogenicity 20 new antibiotics added updated DDDs ATC codes Extended support antiviral agents (antivirals data set), many new functions Now available 20 languages Many small bug fixes","code":""},{"path":[]},{"path":"https://msberends.github.io/AMR/news/index.html","id":"sir-vs-rsi-2-0-0","dir":"Changelog","previous_headings":"New","what":"SIR vs. RSI","title":"AMR 2.0.0","text":"milestone version, replaced mentions RSI SIR, comply actually commonly used field clinical microbiology comes tri-form regarding AMR. existing functions .rsi(), rsi_df() ggplot_rsi() still work, replacements .sir(), sir_df(), ggplot_sir() now current functions AMR data analysis. warning thrown session remind users . data set rsi_translation now called clinical_breakpoints better reflect content. ‘RSI functions’ removed future version, late 2023 / early 2024.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"new-antibiogram-function-2-0-0","dir":"Changelog","previous_headings":"New","what":"New antibiogram function","title":"AMR 2.0.0","text":"new antibiogram() function, users can now generate traditional, combined, syndromic, even weighted-incidence syndromic combination antibiograms (WISCA). , follow logic previously described work Klinker et al. (2021, DOI 10.1177/20499361211011373) Barbieri et al. (2021, DOI 10.1186/s13756-021-00939-2). help page antibiogram() extensively elaborates use cases, antibiogram() also supports printing R Markdown Quarto, support 20 languages. Furthermore, different plotting methods implemented allow graphical visualisations well.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"interpretation-of-mic-and-disk-diffusion-values-2-0-0","dir":"Changelog","previous_headings":"New","what":"Interpretation of MIC and disk diffusion values","title":"AMR 2.0.0","text":"clinical breakpoints intrinsic resistance EUCAST 2022 CLSI 2022 added .sir(). EUCAST 2022 (v12.0) now new default guideline MIC disks diffusion interpretations, eucast_rules() apply EUCAST Expert Rules. default guideline (EUCAST) can now changed new AMR_guideline option, : options(AMR_guideline = \"CLSI 2020\"). new arguments include_PKPD (default: TRUE) include_screening (default: FALSE), users can now specify whether breakpoints screening PK/PD table included interpreting MICs disks diffusion values. options can set globally, can read new manual. Interpretation guidelines older 10 years removed, oldest now included guidelines EUCAST CLSI 2013.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"supported-languages-2-0-0","dir":"Changelog","previous_headings":"New","what":"Supported languages","title":"AMR 2.0.0","text":"added support following ten languages: Chinese (simplified), Czech, Finnish, Greek, Japanese, Norwegian (bokmål), Polish, Romanian, Turkish Ukrainian. antibiotic names now available languages, AMR package automatically determine supported language based user’s system language. grateful valuable input colleagues countries. AMR package now available 20 languages total, according download stats used almost countries world!","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"outbreak-management-2-0-0","dir":"Changelog","previous_headings":"New","what":"Outbreak management","title":"AMR 2.0.0","text":"analysis outbreak management, updated get_episode() is_new_episode() functions: now contain argument case_free_days. argument can used quantify duration case-free days (inter-epidemic interval), new episode start. common requirement outbreak management, e.g. determining number norovirus outbreaks hospital. case-free period 14 28 days, new norovirus cases time considered different (new) episode.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"microbiological-taxonomy-2-0-0","dir":"Changelog","previous_headings":"New","what":"Microbiological taxonomy","title":"AMR 2.0.0","text":"microorganisms data set longer relies Catalogue Life, List Prokaryotic names Standing Nomenclature (LPSN) supplemented ‘backbone taxonomy’ Global Biodiversity Information Facility (GBIF). structure data set changed include separate LPSN GBIF identifiers. Almost previous MO codes retained. contains 1,400 taxonomic names 2022. previously relied experience categorise species pathogenic groups, happy encounter recent work Bartlett et al. (2022, DOI 10.1099/mic.0.001269) extensively studied medical-scientific literature categorise bacterial species groups. See mo_matching_score() work incorporated prevalence column microorganisms data set. Using results, .mo() mo_*() functions now much better capable converting user input valid taxonomic records. new function add_custom_microorganisms() allows users add custom microorganisms AMR package. also made following changes regarding included taxonomy microorganisms functions: Updated full microbiological taxonomy according latest daily LPSN data set (December 2022) latest yearly GBIF taxonomy backbone (November 2022) Added function mo_current() get currently valid taxonomic name microorganism Support 1,516 city-like serovars Salmonella, Salmonella Goldcoast. Formally, serovars belonging S. enterica species, reported name genus city. reason, serovars subspecies column microorganisms data set “enterica” species column, full name contain species name (enterica). new argument keep_synonyms allows correct updated taxonomy, favour now deleted argument allow_uncertain increased tremendously speed returns generally consequent results Sequential coercion now extremely fast results stored package environment, although coercion unknown values must run per session. Previous results can reset/removed new mo_reset_session() function. Support microorganism codes ASIan Antimicrobial Resistance Surveillance Network (ASIARS-Net) MO matching score algorithm (mo_matching_score()) now counts deletions substitutions 2 instead 1, impacts outcome .mo() mo_*() function CRAN allows packages around 5 MB maximum, packages exempted package one Chromista relevant comes antimicrobial resistance, thus lacking primary scope package Chromista almost never clinically relevant, thus lacking secondary scope package microorganisms.old data set removed, previously accepted names now included microorganisms data set. new column status contains \"accepted\" currently accepted names \"synonym\" taxonomic synonyms; currently invalid names. previously accepted names now microorganisms ID - available - LPSN, GBIF SNOMED CT identifier.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"antibiotic-agents-and-selectors-2-0-0","dir":"Changelog","previous_headings":"New","what":"Antibiotic agents and selectors","title":"AMR 2.0.0","text":"new function add_custom_antimicrobials() allows users add custom antimicrobial codes names AMR package. antibiotics data set greatly updated: following 20 antibiotics added (also includes new J01RA ATC group): azithromycin/fluconazole/secnidazole (AFC), cefepime/amikacin (CFA), cefixime/ornidazole (CEO), ceftriaxone/beta-lactamase inhibitor (CEB), ciprofloxacin/metronidazole (CIM), ciprofloxacin/ornidazole (CIO), ciprofloxacin/tinidazole (CIT), furazidin (FUR), isoniazid/sulfamethoxazole/trimethoprim/pyridoxine (IST), lascufloxacin (LSC), levofloxacin/ornidazole (LEO), nemonoxacin (NEM), norfloxacin/metronidazole (NME), norfloxacin/tinidazole (NTI), ofloxacin/ornidazole (OOR), oteseconazole (OTE), rifampicin/ethambutol/isoniazid (REI), sarecycline (SRC), tetracycline/oleandomycin (TOL), thioacetazone (TAT) Added missing ATC codes Updated DDDs PubChem Compound IDs Updated antibiotic name spelling, now used WHOCC (cephalexin -> cefalexin, phenethicillin -> pheneticillin) Antibiotic code “CEI” ceftolozane/tazobactam replaced “CZT” comply EARS-Net WHONET 2022. old code still work cases using .ab() ab_*() functions. Support antimicrobial interpretation anaerobic bacteria, adding ‘placeholder’ code B_ANAER microorganisms data set adding breakpoints anaerobics clinical_breakpoints data set, used .sir() interpretion MIC disk diffusion values Also, added support using antibiotic selectors scoped dplyr verbs (without using vars()), : ... %>% summarise_at(aminoglycosides(), resistance), please see resistance() examples.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"antiviral-agents-2-0-0","dir":"Changelog","previous_headings":"New","what":"Antiviral agents","title":"AMR 2.0.0","text":"now added extensive support antiviral agents! first time, AMR package extensive support antiviral drugs work names, codes data way. antivirals data set extended 18 new drugs (also new J05AJ ATC group) now also contains antiviral identifiers LOINC codes new data type av (antivirals) added, functionally similar ab antibiotics Functions .av(), av_name(), av_atc(), av_synonyms(), av_from_text() added siblings ab_*() equivalents","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"other-new-functions-2-0-0","dir":"Changelog","previous_headings":"New","what":"Other new functions","title":"AMR 2.0.0","text":"Function sir_confidence_interval() add confidence intervals AMR calculation. now also included sir_df() proportion_df(). Function mean_amr_distance() calculate mean AMR distance. mean AMR distance normalised numeric value compare AMR test results can help identify similar isolates, without comparing antibiograms hand. Function sir_interpretation_history() view history previous runs .sir() (previously .rsi()). returns ‘logbook’ selected guideline, reference table specific interpretation row data set .sir() run.","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"changes-2-0-0","dir":"Changelog","previous_headings":"","what":"Changes","title":"AMR 2.0.0","text":"Fix working NA values Fix unsorted dates length 2 Now returns class integer instead numeric since always whole numbers Argument combine_IR removed package (affecting functions count_df(), proportion_df(), sir_df() plotting functions), since replaced combine_SI three years ago Using units ab_ddd(..., units = \"...\") deprecated time now supported anymore. Use ab_ddd_units() instead. Support data.frame-enhancing R packages, specifically: data.table::data.table, janitor::tabyl, tibble::tibble, tsibble::tsibble. AMR package functions data set output (sir_df() bug_drug_combinations()), now return data type input. data sets package now tibble, instead base R data.frames. Older R versions still supported, even support tibbles. data sets now also continually exported Apache Feather Apache Parquet formats. can find info article website. Fixed certain EUCAST breakpoints MIC values Allow NA values (e.g. .sir(.disk(NA), ...)) Fix bug-drug combinations multiple breakpoints different body sites Interpretation MIC disk zones now informative availability breakpoints robust Removed .integer() method MIC values, since MIC integer values running table() MIC values consequently failed able retrieve level position (’s normally .integer() factors work) Fixed determination Gram stains (mo_gramstain()), since taxonomic phyla Actinobacteria, Chloroflexi, Firmicutes, Tenericutes renamed respectively Actinomycetota, Chloroflexota, Bacillota, Mycoplasmatota 2021 droplevels() MIC now return common factor default lose mic class. Use droplevels(..., .mic = TRUE) keep mic class. Small fix using ab_from_text() Fixes reading text files using set_mo_source(), now also allows source file contain valid taxonomic names instead valid microorganism ID package Fixed bug mdro() using similar column names Magiorakos guideline Using random_*() function (random_mic()) now possible directly calling package without loading first: AMR::random_mic(10) Extended support vctrs package, used internally tidyverse. allows change values class mic, disk, sir, mo ab tibbles, use antibiotic selectors selecting/filtering, e.g. df[carbapenems() == \"R\", ] Fix using info = FALSE mdro() interpretation guidelines using .sir() amoxicillin, rules ampicillin used amoxicillin rules available Fix using ab_atc() non-existing ATC codes Black white message texts now reversed colour using RStudio dark theme mo_snomed() now returns class character, numeric anymore (make long SNOMED codes readable) Fix using .ab() NA values Updated support WHONET 2022 microorganism codes Antimicrobial interpretation ‘SDD’ (susceptible dose-dependent, coined CLSI) interpreted ‘’ comply EUCAST’s ‘’ .sir() Fix mo_shortname() case higher taxonomic ranks (order, class, phylum) Cleaning columns .sir(), .mic(), .disk() now show column name warning invalid results Fix using g.test() zeroes 2x2 table mo_synonyns() now contains scientific reference names","code":""},{"path":"https://msberends.github.io/AMR/news/index.html","id":"other-2-0-0","dir":"Changelog","previous_headings":"","what":"Other","title":"AMR 2.0.0","text":"Added Peter Dutey-Magni, Dmytro Mykhailenko, Anton Mymrikov, Andrew Norgan, Jonas Salm, Anita Williams contributors, thank valuable input New website make use new Bootstrap 5 pkgdown 2.0. website now contains results examples automatically regenerated every change repository, using GitHub Actions R Rmd files project now styled using styler package Set scalar conditional expressions (&& ||) possible comply upcoming R 4.3 enormous lot code cleaning, fixing small bugs along way changelog contains changes AMR v2.0 (January 2023) later. prior versions, please see archive.","code":""}]