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b6af14eb03277146204a591d0397704e62f77a2dd7d40f155bdbfc4b175d1930
NEURON
9,718
414
/* Created by BluePyOpt(1.6.56) at 2019-03-13 11:32:52.189316 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
9,718
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/* Created by BluePyOpt(1.6.56) at 2019-03-13 11:08:39.585165 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-13 11:25:58.802685 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-08 12:05:34.970986 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-13 11:07:48.459566 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-08 11:01:45.162330 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-08 11:14:13.571179 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-13 11:24:32.292740 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-08 12:01:49.621142 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 14:42:05.575566 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-13 11:02:51.830498 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-11 10:24:29.140687 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-08 12:22:24.908792 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-13 11:16:29.068525 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-08 11:12:36.410064 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-11 10:20:04.918837 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
9,724
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/* Created by BluePyOpt(1.6.56) at 2019-03-13 10:47:13.677659 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 14:40:27.233842 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 14:33:28.916617 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 14:36:38.334079 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-11 10:21:03.622487 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-08 12:23:07.769194 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 14:29:10.663866 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-20 10:52:25.207312 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 14:28:05.832367 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
9,730
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 14:32:20.684418 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
9,730
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/* Created by BluePyOpt(1.6.56) at 2019-03-21 13:53:39.467622 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
9,730
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/* Created by BluePyOpt(1.6.56) at 2019-03-08 12:04:39.442294 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-08 12:04:39.442294 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-21 13:52:54.658757 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 14:22:02.007905 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-20 10:50:41.303572 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 14:21:00.855871 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
9,733
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 14:37:36.599129 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.25) at 2018-02-02 14:59:35.215343 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.5.29) at 2017-10-02 15:36:31.146086 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.5.29) at 2017-10-02 15:45:45.572916 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-06 18:27:14.967864 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 17:04:00.119908 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,053
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/* Created by BluePyOpt(1.6.56) at 2019-03-06 16:16:58.720333 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,053
412
/* Created by BluePyOpt(1.6.56) at 2019-03-05 17:18:15.609880 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,055
412
/* Created by BluePyOpt(1.6.56) at 2019-03-05 17:12:47.747106 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,055
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 16:21:58.738006 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,055
412
/* Created by BluePyOpt(1.6.56) at 2019-02-11 15:48:48.430787 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,056
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 16:14:47.845214 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,056
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 16:06:32.681619 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,057
412
/* Created by BluePyOpt(1.6.56) at 2019-03-05 17:05:20.916385 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,057
412
/* Created by BluePyOpt(1.6.56) at 2019-03-07 10:58:16.005938 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,058
412
/* Created by BluePyOpt(1.6.56) at 2019-03-06 16:15:27.345435 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
10,059
412
/* Created by BluePyOpt(1.6.56) at 2019-03-05 16:20:17.493519 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-06 18:28:29.828109 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 16:13:27.736791 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-02-11 15:47:29.976547 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 17:16:32.539054 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-06 18:11:17.092095 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 16:07:32.495110 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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NEURON
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/* Created by BluePyOpt(1.6.56) at 2019-03-05 17:13:55.246381 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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/* Created by BluePyOpt(1.6.56) at 2019-03-06 18:13:41.288583 */ {load_file("stdrun.hoc")} {load_file("import3d.hoc")} /* * Check that global parameters are the same as with the optimization */ proc check_parameter(/* name, expected_value, value */){ strdef error if($2 != $3){ sprint(error, "Parameter %s has ...
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Perl
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#!/usr/bin/perl use POSIX; die "Error: Missing arguments.\nUsage: run.pl timeout cpus mem queue saveStdout saveStderr cmd arg1 ... argN\n" if $#ARGV < 6 ; $timeout = shift @ARGV; $cpus = shift @ARGV; $mem = shift @ARGV; $queue = shift @ARGV; $saveStdout = shift @ARGV; $saveStderr = shift @ARGV; $cmd = join(' ', @ARG...
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Perl
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#!/usr/bin/perl #------------------------------------------------------------------------------- # BDS generic cluster example # # This is a trivial example of the 'cluster generic' interface implementation. # The commands implemented in this example simply pass the propper arguments # to qsub, qdel or qstat commands...
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#!/usr/bin/perl #------------------------------------------------------------------------------- # BDS generic cluster example # # This is a trivial example of the 'cluster generic' interface implementation. # The commands implemented in this example simply pass the propper arguments # to qsub, qdel or qstat commands...
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Perl
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#!/usr/bin/perl #------------------------------------------------------------------------------- # BDS generic cluster example # # This is a trivial example of the 'cluster generic' interface implementation. # The commands implemented in this example simply pass the propper arguments # to qsub, qdel or qstat commands...
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Perl
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#!/usr/bin/perl -w # # Copyright 2011, Ben Langmead <langmea@cs.jhu.edu> # # This file is part of Bowtie 2. # # Bowtie 2 is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (...
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Perl
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169
#!/packages/perl/5.14.2/bin/perl ###!/usr/bin/perl ## ## Converts a SEG file from DNAcopy to gVCF and annotates segments whose log2 fold-change exceeds ## thresholds. ## ## ARGUMENTS: ## ARGV[0] is annotation file downloaded from Ensembl (eg. Ensembl_v70_hs37d5.gtf). ## ARGV[1] is VCF file generated from tCoNuT. ## ...
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Python
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1
args = None
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Python
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VERSION = '1.4.0'
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Python
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""" NIDM terms """
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Python
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1
from . import ioutil
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Python
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__version__ = "1.0.4"
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WELCOME_MESSAGE = ""
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Python
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1
__author__ = 'npeled'
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Python
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2
class Paused: pass
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Python
23
1
# -*- coding: utf-8 -*-
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Python
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class Started: pass
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Python
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2
class Resumed: pass
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Python
26
2
args = None device = None
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Python
26
1
from .base_model import *
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Python
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1
__version__ = "0.6.1.dev0"
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Python
27
1
from .saliency import xrai
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Python
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1
__version__ = '1.0.31.dev0'
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Python
29
1
from ._communicable import *
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Python
29
1
OBJECT_TYPE_NAME = "objects"
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Python
31
1
from .document import Document
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Python
32
1
# NB: No implementation needed.
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Python
32
1
# Clinical ASL Pipeline package
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Python
33
5
class ConservationTable:
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Python
34
3
"""Makes test a package.""" pass
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Python
36
2
#__init__.py print('networks_init')
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Python
36
1
from .__version__ import __version__
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Python
37
1
from ._module_view import ModuleView
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Python
38
1
from .pft_tracking import PftTracking
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Python
43
1
from ._workspace_view import WorkspaceView
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Python
44
1
from .generic import create_pytorch_objects
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Python
46
1
from cellprofiler._version import __version__
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Python
46
1
exclude_parameters = {"differential_privacy"}
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Python
46
3
from .sasa import SASA from .sparse import *
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Python
47
3
# -*- coding: utf-8 -*- __version__ = "1.0.2"
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Python
47
2
from .exu import ExU from .relu import LinReLU
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Python
47
2
from . import analysis from . import workspace
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Python
47
1
from ._preferences_view import PreferencesView