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@ -1,48 +0,0 @@
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/*************************************************************************
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*
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* This file is part of ACT dataflow neuro library.
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* It's the testing facility for cell_lib_std.act
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*
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* Copyright (c) 2022 University of Groningen - Ole Richter
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* Copyright (c) 2022 University of Groningen - Hugh Greatorex
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* Copyright (c) 2022 University of Groningen - Michele Mastella
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* Copyright (c) 2022 University of Groningen - Madison Cotteret
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*
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* This source describes Open Hardware and is licensed under the CERN-OHL-W v2 or later
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*
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* You may redistribute and modify this documentation and make products
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* using it under the terms of the CERN-OHL-W v2 (https:/cern.ch/cern-ohl).
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* This documentation is distributed WITHOUT ANY EXPRESS OR IMPLIED
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* WARRANTY, INCLUDING OF MERCHANTABILITY, SATISFACTORY QUALITY
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* AND FITNESS FOR A PARTICULAR PURPOSE. Please see the CERN-OHL-W v2
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* for applicable conditions.
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*
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* Source location: https://git.web.rug.nl/bics/actlib_dataflow_neuro
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*
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* As per CERN-OHL-W v2 section 4.1, should You produce hardware based on
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* these sources, You must maintain the Source Location visible in its
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* documentation.
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*
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**************************************************************************
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*/
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import "../../dataflow_neuro/primitives.act";
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import globals;
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open tmpl::dataflow_neuro;
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defproc lepu (a1of1 in; bool! out){
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line_end_pull_up lepu(.in=in, .out=out);
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//Low active Reset
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bool _reset_B;
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prs {
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Reset => _reset_B-
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}
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lepu.supply.vss = GND;
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lepu.supply.vdd = Vdd;
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lepu.reset_B = _reset_B;
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}
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lepu t;
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@ -1,15 +0,0 @@
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watchall
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set t.in.a 0
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cycle
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system "echo 'yo man'"
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set Reset 0
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cycle
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set t.in.a 1
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cycle
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assert t.out 1
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@ -31,16 +31,43 @@ import globals;
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open tmpl::dataflow_neuro;
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defproc nrn_hs_2D_array_3x5(a1of1 in[15]; a1of1 outx[3], outy[5])
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pint Nx = 3;
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pint Ny = 5;
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defproc nrn_hs_2d_array_3x5(a1of1 in[15]; a1of1 outx[3], outy[5])
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{
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bool _reset_B;
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prs {
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Reset => _reset_B-
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}
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nrn_hs_2D_array<3,5,5> b(.in = in, .outx = outx, .outy = outy);
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b.supply.vdd = Vdd;
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b.supply.vss = GND;
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b.reset_B = _reset_B;
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power supply;
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supply.vdd = Vdd;
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supply.vss = GND;
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bool _reset_B;
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prs {
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Reset => _reset_B-
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}
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nrn_hs_2d_array<3,5> b(.in = in, .outx = outx, .outy = outy);
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b.supply = supply;
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b.reset_B = _reset_B;
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nrn_line_end_pull_down pd_x[Nx], pd_y[Ny];
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(i:Nx:
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pd_x[i].in = b.to_pd_x[i].a;
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pd_x[i].out = b.to_pd_x[i].r;
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pd_x[i].supply = supply;
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pd_x[i].reset_B = _reset_B;
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)
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(i:Ny:
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pd_y[i].in = b.to_pd_y[i].a;
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pd_y[i].out = b.to_pd_y[i].r;
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pd_y[i].supply = supply;
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pd_y[i].reset_B = _reset_B;
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)
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}
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nrn_hs_2D_array_3x5 b;
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nrn_hs_2d_array_3x5 b;
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@ -26,18 +26,18 @@ set b.outy[2].a 0
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set b.outy[3].a 0
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set b.outy[4].a 0
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set b.outx[0].r 1
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set b.outx[1].r 1
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set b.outx[2].r 1
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# set b.outx[0].r 1
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# set b.outx[1].r 1
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# set b.outx[2].r 1
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set b.outy[0].r 1
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set b.outy[1].r 1
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set b.outy[2].r 1
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set b.outy[3].r 1
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set b.outy[4].r 0
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# set b.outy[0].r 1
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# set b.outy[1].r 1
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# set b.outy[2].r 1
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# set b.outy[3].r 1
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# set b.outy[4].r 0
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set b.b.neurons[0]._en 0
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set b.b.neurons[0]._req 1
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# set b.b.neurons[0]._en 0
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# set b.b.neurons[0]._req 1
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# set Reset 0
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cycle
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