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(v1.3.0.9038) prefinal 1.4.0

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dr. M.S. (Matthijs) Berends
2020-10-04 19:26:43 +02:00
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@ -20,7 +20,7 @@
<script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet">
<script src="../extra.js"></script><meta property="og:title" content="Benchmarks">
<meta property="og:description" content="AMR">
<meta property="og:image" content="https://msberends.github.io/AMR/logo.svg">
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png">
<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@ -39,7 +39,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9016</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0</span>
</span>
</div>
@ -226,49 +226,6 @@
<span class="fu"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"VISA"</span>), <span class="co"># Vancomycin Intermediate S. aureus</span>
<span class="fu"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"VRSA"</span>), <span class="co"># Vancomycin Resistant S. aureus</span>
times = <span class="fl">10</span>)
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
@ -276,32 +233,75 @@
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Results of three values were guessed with uncertainty. Use mo_uncertainties() to review them.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span>(<span class="kw">S.aureus</span>, unit = <span class="st">"ms"</span>, signif = <span class="fl">2</span>)
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="fu"><a href="https://docs.ropensci.org/skimr/reference/print.html">print</a></span>(<span class="kw">S.aureus</span>, unit = <span class="st">"ms"</span>, signif = <span class="fl">2</span>)
<span class="co"># Unit: milliseconds</span>
<span class="co"># expr min lq mean median uq max</span>
<span class="co"># as.mo("sau") 9.9 13.0 24.0 17.0 39.0 45</span>
<span class="co"># as.mo("stau") 200.0 210.0 240.0 240.0 260.0 290</span>
<span class="co"># as.mo("STAU") 190.0 220.0 230.0 220.0 260.0 270</span>
<span class="co"># as.mo("staaur") 9.4 13.0 26.0 15.0 44.0 47</span>
<span class="co"># as.mo("STAAUR") 9.3 11.0 18.0 14.0 15.0 45</span>
<span class="co"># as.mo("S. aureus") 21.0 25.0 30.0 26.0 26.0 50</span>
<span class="co"># as.mo("S aureus") 25.0 47.0 48.0 51.0 56.0 64</span>
<span class="co"># as.mo("Staphylococcus aureus") 1.5 1.9 2.3 2.4 2.5 3</span>
<span class="co"># as.mo("Staphylococcus aureus (MRSA)") 860.0 900.0 930.0 920.0 950.0 1100</span>
<span class="co"># as.mo("Sthafilokkockus aaureuz") 410.0 420.0 430.0 430.0 450.0 460</span>
<span class="co"># as.mo("MRSA") 12.0 13.0 16.0 14.0 15.0 41</span>
<span class="co"># as.mo("VISA") 15.0 21.0 38.0 22.0 47.0 130</span>
<span class="co"># as.mo("VRSA") 18.0 20.0 25.0 22.0 22.0 47</span>
<span class="co"># expr min lq mean median uq max</span>
<span class="co"># as.mo("sau") 13.0 14.0 15.0 14.0 16.0 17.0</span>
<span class="co"># as.mo("stau") 220.0 230.0 250.0 260.0 280.0 280.0</span>
<span class="co"># as.mo("STAU") 220.0 240.0 270.0 250.0 290.0 330.0</span>
<span class="co"># as.mo("staaur") 13.0 14.0 28.0 15.0 44.0 62.0</span>
<span class="co"># as.mo("STAAUR") 11.0 14.0 17.0 14.0 15.0 48.0</span>
<span class="co"># as.mo("S. aureus") 30.0 56.0 56.0 61.0 63.0 66.0</span>
<span class="co"># as.mo("S aureus") 28.0 33.0 48.0 38.0 66.0 77.0</span>
<span class="co"># as.mo("Staphylococcus aureus") 1.7 1.9 2.4 2.5 2.6 3.1</span>
<span class="co"># as.mo("Staphylococcus aureus (MRSA)") 860.0 890.0 920.0 910.0 930.0 1000.0</span>
<span class="co"># as.mo("Sthafilokkockus aaureuz") 350.0 370.0 380.0 390.0 390.0 410.0</span>
<span class="co"># as.mo("MRSA") 13.0 15.0 28.0 18.0 42.0 61.0</span>
<span class="co"># as.mo("VISA") 21.0 22.0 31.0 22.0 43.0 52.0</span>
<span class="co"># as.mo("VRSA") 23.0 24.0 39.0 45.0 49.0 55.0</span>
<span class="co"># neval</span>
<span class="co"># 10</span>
<span class="co"># 10</span>
@ -343,12 +343,12 @@
<span class="co"># now let's see:</span>
<span class="kw">run_it</span> <span class="op">&lt;-</span> <span class="fu">microbenchmark</span>(<span class="fu"><a href="../reference/mo_property.html">mo_name</a></span>(<span class="kw">x</span>),
times = <span class="fl">10</span>)
<span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span>(<span class="kw">run_it</span>, unit = <span class="st">"ms"</span>, signif = <span class="fl">3</span>)
<span class="fu"><a href="https://docs.ropensci.org/skimr/reference/print.html">print</a></span>(<span class="kw">run_it</span>, unit = <span class="st">"ms"</span>, signif = <span class="fl">3</span>)
<span class="co"># Unit: milliseconds</span>
<span class="co"># expr min lq mean median uq max neval</span>
<span class="co"># mo_name(x) 96.1 123 140 133 144 251 10</span>
<span class="co"># mo_name(x) 99.2 127 145 143 145 243 10</span>
</pre></div>
<p>So getting official taxonomic names of 2,000,000 (!!) items consisting of 90 unique values only takes 0.133 seconds. You only lose time on your unique input values.</p>
<p>So getting official taxonomic names of 2,000,000 (!!) items consisting of 90 unique values only takes 0.143 seconds. You only lose time on your unique input values.</p>
</div>
<div id="precalculated-results" class="section level3">
<h3 class="hasAnchor">
@ -369,12 +369,12 @@
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="co"># Result of one value was guessed with uncertainty. Use mo_uncertainties() to review it.</span>
<span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span>(<span class="kw">run_it</span>, unit = <span class="st">"ms"</span>, signif = <span class="fl">3</span>)
<span class="fu"><a href="https://docs.ropensci.org/skimr/reference/print.html">print</a></span>(<span class="kw">run_it</span>, unit = <span class="st">"ms"</span>, signif = <span class="fl">3</span>)
<span class="co"># Unit: milliseconds</span>
<span class="co"># expr min lq mean median uq max neval</span>
<span class="co"># A 7.83 7.96 8.19 8.22 8.33 8.84 10</span>
<span class="co"># B 18.10 19.50 27.80 20.20 20.70 65.90 10</span>
<span class="co"># C 1.77 2.11 2.34 2.27 2.33 3.22 10</span>
<span class="co"># A 7.53 8.50 8.77 8.83 9.14 9.89 10</span>
<span class="co"># B 23.00 24.20 32.40 26.30 28.80 60.10 10</span>
<span class="co"># C 1.91 1.98 2.33 2.30 2.66 2.83 10</span>
</pre></div>
<p>So going from <code><a href="../reference/mo_property.html">mo_name("Staphylococcus aureus")</a></code> to <code>"Staphylococcus aureus"</code> takes 0.0023 seconds - it doesn’t even start calculating <em>if the result would be the same as the expected resulting value</em>. That goes for all helper functions:</p>
<div class="sourceCode" id="cb5"><pre class="downlit">
@ -387,17 +387,17 @@
G = <span class="fu"><a href="../reference/mo_property.html">mo_phylum</a></span>(<span class="st">"Firmicutes"</span>),
H = <span class="fu"><a href="../reference/mo_property.html">mo_kingdom</a></span>(<span class="st">"Bacteria"</span>),
times = <span class="fl">10</span>)
<span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span>(<span class="kw">run_it</span>, unit = <span class="st">"ms"</span>, signif = <span class="fl">3</span>)
<span class="fu"><a href="https://docs.ropensci.org/skimr/reference/print.html">print</a></span>(<span class="kw">run_it</span>, unit = <span class="st">"ms"</span>, signif = <span class="fl">3</span>)
<span class="co"># Unit: milliseconds</span>
<span class="co"># expr min lq mean median uq max neval</span>
<span class="co"># A 1.56 1.62 5.61 1.93 2.26 38.90 10</span>
<span class="co"># B 1.50 1.72 1.88 1.90 2.01 2.34 10</span>
<span class="co"># C 1.52 1.76 1.88 1.89 1.96 2.27 10</span>
<span class="co"># D 1.47 1.62 1.85 1.86 1.89 2.80 10</span>
<span class="co"># E 1.51 1.84 1.98 1.88 2.07 2.56 10</span>
<span class="co"># F 1.44 1.50 1.68 1.57 1.89 2.19 10</span>
<span class="co"># G 1.47 1.48 1.65 1.59 1.84 2.00 10</span>
<span class="co"># H 1.55 1.60 1.75 1.69 1.81 2.34 10</span>
<span class="co"># A 1.55 1.74 1.91 1.98 2.06 2.16 10</span>
<span class="co"># B 1.52 1.70 1.95 1.88 2.03 2.62 10</span>
<span class="co"># C 1.61 1.68 6.25 2.04 2.18 44.80 10</span>
<span class="co"># D 1.65 1.71 1.92 1.95 2.02 2.22 10</span>
<span class="co"># E 1.56 1.79 1.92 1.99 2.01 2.14 10</span>
<span class="co"># F 1.62 1.67 1.82 1.78 1.94 2.09 10</span>
<span class="co"># G 1.61 1.70 1.92 1.97 2.01 2.31 10</span>
<span class="co"># H 1.62 1.69 1.83 1.87 1.95 2.01 10</span>
</pre></div>
<p>Of course, when running <code><a href="../reference/mo_property.html">mo_phylum("Firmicutes")</a></code> the function has zero knowledge about the actual microorganism, namely <em>S. aureus</em>. But since the result would be <code>"Firmicutes"</code> anyway, there is no point in calculating the result. And because this package ‘knows’ all phyla of all known bacteria (according to the Catalogue of Life), it can just return the initial value immediately.</p>
</div>
@ -423,16 +423,16 @@
fr = <span class="fu"><a href="../reference/mo_property.html">mo_name</a></span>(<span class="st">"CoNS"</span>, language = <span class="st">"fr"</span>),
pt = <span class="fu"><a href="../reference/mo_property.html">mo_name</a></span>(<span class="st">"CoNS"</span>, language = <span class="st">"pt"</span>),
times = <span class="fl">100</span>)
<span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span>(<span class="kw">run_it</span>, unit = <span class="st">"ms"</span>, signif = <span class="fl">4</span>)
<span class="fu"><a href="https://docs.ropensci.org/skimr/reference/print.html">print</a></span>(<span class="kw">run_it</span>, unit = <span class="st">"ms"</span>, signif = <span class="fl">4</span>)
<span class="co"># Unit: milliseconds</span>
<span class="co"># expr min lq mean median uq max neval</span>
<span class="co"># en 13.84 14.04 20.10 14.54 16.47 59.20 100</span>
<span class="co"># de 14.79 15.10 20.00 15.76 17.64 63.37 100</span>
<span class="co"># nl 18.52 19.35 24.11 21.44 22.93 62.12 100</span>
<span class="co"># es 14.72 15.02 20.10 16.06 17.90 60.60 100</span>
<span class="co"># it 14.61 14.93 18.06 15.45 17.33 52.47 100</span>
<span class="co"># fr 14.73 15.02 21.06 15.62 18.09 69.54 100</span>
<span class="co"># pt 14.74 14.99 21.19 16.17 17.88 64.71 100</span>
<span class="co"># en 13.92 14.62 19.73 15.07 17.06 71.77 100</span>
<span class="co"># de 16.83 17.63 22.19 18.10 20.41 58.61 100</span>
<span class="co"># nl 28.71 30.05 35.19 31.64 34.09 69.34 100</span>
<span class="co"># es 16.78 17.61 22.57 18.56 20.21 57.98 100</span>
<span class="co"># it 16.61 17.39 21.59 18.32 20.74 56.86 100</span>
<span class="co"># fr 16.48 17.31 21.96 17.84 20.26 55.84 100</span>
<span class="co"># pt 16.66 17.45 24.03 18.26 20.85 67.60 100</span>
</pre></div>
<p>Currently supported are German, Dutch, Spanish, Italian, French and Portuguese.</p>
</div>