diff --git a/examples/notebooks/sysbio-2-params.ipynb b/examples/notebooks/sysbio-2-params.ipynb new file mode 100644 index 0000000..c327ff0 --- /dev/null +++ b/examples/notebooks/sysbio-2-params.ipynb @@ -0,0 +1,3340 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 25, + "id": "29f8493f-148d-4d55-97ee-6722fbbd7719", + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "import pyvcell.vcml as vc\n", + "import basico" + ] + }, + { + "cell_type": "markdown", + "id": "7d10c2ac-fb0d-4cd4-90a4-7c702af331ac", + "metadata": {}, + "source": [ + "# Model imported from VCell" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "5a1e6e67-ac21-4b93-ac12-14625f732e50", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Biomodel(model=Model(compartments=['cyt', 'nuc', 'EC', 'pm', 'nm'], species=['Ran_cyt', 'C_cyt', 'RanC_nuc', 'RanC_cyt'], reactions=['r0', 'flux0'], parameters=[]), applications=['3D pde'], simulations=['Simulation4'])" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'r0.J': '((Kf * RanC_cyt) - ((Kr * Ran_cyt) * C_cyt))',\n", + " 'r0.Kf': 1.0,\n", + " 'r0.Kr': 1000.0,\n", + " 'flux0.J': '(kfl * (RanC_cyt - RanC_nuc))',\n", + " 'flux0.I': 0.0,\n", + " 'flux0.netValence': 1.0,\n", + " 'flux0.kfl': 2.0}" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "biomodel = vc.load_vcml_file(\"../models/Tutorial_MultiApp_PDE.vcml\")\n", + "model = biomodel.model\n", + "display(biomodel)\n", + "display(model.parameter_values)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "7ba2919c-5bfd-4454-859e-ea5014b0631b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'r0.J': '((Kf * RanC_cyt) - ((Kr * Ran_cyt) * C_cyt))',\n", + " 'r0.Kf': 20.0,\n", + " 'r0.Kr': 1000.0,\n", + " 'flux0.J': '(kfl * (RanC_cyt - RanC_nuc))',\n", + " 'flux0.I': 0.0,\n", + " 'flux0.netValence': 1.0,\n", + " 'flux0.kfl': 2.0}" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model.set_parameter_value(name=\"r0.Kf\", value=20.0)\n", + "display(model.parameter_values)" + ] + }, + { + "cell_type": "markdown", + "id": "b66b673a-1980-4f22-be4c-ec3af9f6791c", + "metadata": {}, + "source": [ + "# load into Copasi - not working for me" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "2050fae6-038f-4143-b751-e6e84800677f", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running sim with r0.Kf=1.595466965370271\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:49:01.669922Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:49:01.675947Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@1351b682 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:01.992696Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@1351b682 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:49:01,997 INFO (Entrypoints.java:200) - Returning from vcellToVcml: {\"success\":true,\"message\":\"Success\"}\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:49:02.012986Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:49:02.013873Z main WARN The Logger org.vcell.libvcell.Entrypoints was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@4edc7678 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:02.017564Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@4edc7678 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:02.033849Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@4edc7678 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:49:02,140 INFO (Entrypoints.java:83) - Returning from vcmlToFiniteVolumeInput: {\"success\":true,\"message\":\"Success\"}\n", + "--------------- sim summary ----------------\n", + "Cartesian Mesh: Domain x:[0,74.24] y:[0,74.24] z:[0,26]\n", + " Elements numX=101 numY=101 numZ=36\n", + "\n", + "\ttime = 10 sec\n", + "\tdT = 0.1 sec\n", + "--------------------------------------------\n", + "Setting Base file name to: `\"/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_eitrp4l1/SimID_1315258643_0_\"`\n", + "initializing mesh\n", + "numVolume=367236\n", + "\n", + "CartesianMesh::computeNormalsFromNeighbors(), compute normals from neighbors\n", + "Membrane Elements -> N=16791\n", + "==============================================\n", + "qhull precision warning: \n", + "572 has 0 neighbors !\n", + "qhull precision error: initial simplex is not convex. Distance=-4.2e-16\n", + "2246 has 0 neighbors !\n", + "4422 has 0 neighbors !\n", + "13393 has 0 neighbors !\n", + "--------Num of points that have zero neighbors 4\n", + "--------Num Neighbors before symmetrize 99581\n", + "--------Num Neighbors after symmetrize 108440\n", + "Total volume=6049.231566\n", + "Total FluxArea =39.83851721\n", + "Total FluxAreaXM =0\n", + "Total FluxAreaXP =0\n", + "Total FluxAreaYM =24.25749724\n", + "Total FluxAreaYP =15.58101996\n", + "Total FluxAreaZM =0\n", + "Total FluxAreaZP =0\n", + "mesh initialized\n", + "preprocessing finished\n", + "pdeCount=4, odeCount=0\n", + "No log-file found at constructed path `/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_eitrp4l1/SimID_1315258643_0_.log`.simulation [SimID_1315258643_0_] started\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0000.sim\n", + "[[[data:0]]]\n", + "numVolRegions=4\n", + "Region 0: size=321351, offset=0\n", + "Region 1: size=36741, offset=321351\n", + "Region 2: size=9143, offset=358092\n", + "Region 3: size=1, offset=367235\n", + "# of active points = 367236\n", + "Constant diffusion/advection in region cytosol1\n", + "Constant diffusion/advection in region Nucleus2\n", + "Constant diffusion/advection in region cytosol3\n", + "numUnknowns = 119369\n", + "\n", + "****** using Sundials CVode with PREC_LEFT, relTol=1e-07, absTol=1e-09, maxStep=0.1\n", + "\n", + "----------------------------------\n", + "sundials pde solver is starting from time 0\n", + "----------------------------------\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0001.sim\n", + "[[[data:0.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0061.sim\n", + "[[[data:6.1]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.61, time=6.1\n", + "[[[progress:61%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0062.sim\n", + "[[[data:6.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0063.sim\n", + "[[[data:6.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0064.sim\n", + "[[[data:6.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0090.sim\n", + "[[[data:9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0091.sim\n", + "[[[data:9.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0092.sim\n", + "[[[data:9.2]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.92, time=9.2\n", + "[[[progress:92%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0093.sim\n", + "[[[data:9.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0094.sim\n", + "[[[data:9.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0095.sim\n", + "[[[data:9.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0096.sim\n", + "[[[data:9.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0097.sim\n", + "[[[data:9.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0098.sim\n", + "[[[data:9.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0099.sim\n", + "[[[data:9.9]]]\n", + "Final Statistics.. \n", + "\n", + "lenrw = 1193779 leniw = 50\n", + "lenrwLS = 1193736 leniwLS = 10\n", + "nst = 214\n", + "nfe = 239 nfeLS = 333\n", + "nni = 235 nli = 333\n", + "nsetups = 77 netf = 3\n", + "npe = 4 nps = 543\n", + "ncfn = 0 ncfl = 1\n", + "last step = 0.100000\n", + "\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1315258643_0_0100.sim\n", + "[[[data:10]]][[[progress:100%]]]" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Simulation Complete in Main() ... \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running sim with r0.Kf=4.829766986309707\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:49:14.282836Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:49:14.287082Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@3b36d6fd and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:14.592711Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@3b36d6fd and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:49:14,597 INFO (Entrypoints.java:200) - Returning from vcellToVcml: {\"success\":true,\"message\":\"Success\"}\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:49:14.612836Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:49:14.613615Z main WARN The Logger org.vcell.libvcell.Entrypoints was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@3773b3a7 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:14.617230Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@3773b3a7 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:14.633804Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@3773b3a7 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:49:14,736 INFO (Entrypoints.java:83) - Returning from vcmlToFiniteVolumeInput: {\"success\":true,\"message\":\"Success\"}\n", + "--------------- sim summary ----------------\n", + "Cartesian Mesh: Domain x:[0,74.24] y:[0,74.24] z:[0,26]\n", + " Elements numX=101 numY=101 numZ=36\n", + "\n", + "\ttime = 10 sec\n", + "\tdT = 0.1 sec\n", + "--------------------------------------------\n", + "Setting Base file name to: `\"/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_zl6nfuvz/SimID_1247158540_0_\"`\n", + "initializing mesh\n", + "numVolume=367236\n", + "\n", + "CartesianMesh::computeNormalsFromNeighbors(), compute normals from neighbors\n", + "Membrane Elements -> N=16791\n", + "==============================================\n", + "qhull precision warning: \n", + "572 has 0 neighbors !\n", + "qhull precision error: initial simplex is not convex. Distance=-4.2e-16\n", + "2246 has 0 neighbors !\n", + "4422 has 0 neighbors !\n", + "13393 has 0 neighbors !\n", + "--------Num of points that have zero neighbors 4\n", + "--------Num Neighbors before symmetrize 99581\n", + "--------Num Neighbors after symmetrize 108440\n", + "Total volume=6049.231566\n", + "Total FluxArea =39.83851721\n", + "Total FluxAreaXM =0\n", + "Total FluxAreaXP =0\n", + "Total FluxAreaYM =24.25749724\n", + "Total FluxAreaYP =15.58101996\n", + "Total FluxAreaZM =0\n", + "Total FluxAreaZP =0\n", + "mesh initialized\n", + "preprocessing finished\n", + "pdeCount=4, odeCount=0\n", + "No log-file found at constructed path `/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_zl6nfuvz/SimID_1247158540_0_.log`.simulation [SimID_1247158540_0_] started\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0000.sim\n", + "[[[data:0]]]\n", + "numVolRegions=4\n", + "Region 0: size=321351, offset=0\n", + "Region 1: size=36741, offset=321351\n", + "Region 2: size=9143, offset=358092\n", + "Region 3: size=1, offset=367235\n", + "# of active points = 367236\n", + "Constant diffusion/advection in region cytosol1\n", + "Constant diffusion/advection in region Nucleus2\n", + "Constant diffusion/advection in region cytosol3\n", + "numUnknowns = 119369\n", + "\n", + "****** using Sundials CVode with PREC_LEFT, relTol=1e-07, absTol=1e-09, maxStep=0.1\n", + "\n", + "----------------------------------\n", + "sundials pde solver is starting from time 0\n", + "----------------------------------\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0001.sim\n", + "[[[data:0.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0070.sim\n", + "[[[data:7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0071.sim\n", + "[[[data:7.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0072.sim\n", + "[[[data:7.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0073.sim\n", + "[[[data:7.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0074.sim\n", + "[[[data:7.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0075.sim\n", + "[[[data:7.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0076.sim\n", + "[[[data:7.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0077.sim\n", + "[[[data:7.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0078.sim\n", + "[[[data:7.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0079.sim\n", + "[[[data:7.9]]]temporary directory used is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0085.sim\n", + "[[[data:8.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0086.sim\n", + "[[[data:8.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0087.sim\n", + "[[[data:8.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0088.sim\n", + "[[[data:8.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0089.sim\n", + "[[[data:8.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0090.sim\n", + "[[[data:9]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.9, time=9\n", + "[[[progress:90%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0091.sim\n", + "[[[data:9.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0092.sim\n", + "[[[data:9.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0093.sim\n", + "[[[data:9.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0094.sim\n", + "[[[data:9.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0095.sim\n", + "[[[data:9.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0096.sim\n", + "[[[data:9.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0097.sim\n", + "[[[data:9.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0098.sim\n", + "[[[data:9.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0099.sim\n", + "[[[data:9.9]]]\n", + "Final Statistics.. \n", + "\n", + "lenrw = 1193779 leniw = 50\n", + "lenrwLS = 1193736 leniwLS = 10\n", + "nst = 201\n", + "nfe = 221 nfeLS = 337\n", + "nni = 217 nli = 337\n", + "nsetups = 62 netf = 0\n", + "npe = 4 nps = 525\n", + "ncfn = 0 ncfl = 0\n", + "last step = 0.100000\n", + "\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1247158540_0_0100.sim\n", + "[[[data:10]]][[[progress:100%]]]" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Simulation Complete in Main() ... \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running sim with r0.Kf=1.1266941002336273\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:49:26.982803Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:49:26.986499Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@7707e8fe and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:27.308940Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@7707e8fe and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:49:27,313 INFO (Entrypoints.java:200) - Returning from vcellToVcml: {\"success\":true,\"message\":\"Success\"}\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:49:27.329132Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:49:27.330028Z main WARN The Logger org.vcell.libvcell.Entrypoints was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@23d84932 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:27.333706Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@23d84932 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:27.350197Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@23d84932 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:49:27,456 INFO (Entrypoints.java:83) - Returning from vcmlToFiniteVolumeInput: {\"success\":true,\"message\":\"Success\"}\n", + "--------------- sim summary ----------------\n", + "Cartesian Mesh: Domain x:[0,74.24] y:[0,74.24] z:[0,26]\n", + " Elements numX=101 numY=101 numZ=36\n", + "\n", + "\ttime = 10 sec\n", + "\tdT = 0.1 sec\n", + "--------------------------------------------\n", + "Setting Base file name to: `\"/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_yvlzpsva/SimID_931541684_0_\"`\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Simulation Complete in Main() ... \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "initializing mesh\n", + "numVolume=367236\n", + "\n", + "CartesianMesh::computeNormalsFromNeighbors(), compute normals from neighbors\n", + "Membrane Elements -> N=16791\n", + "==============================================\n", + "qhull precision warning: \n", + "572 has 0 neighbors !\n", + "qhull precision error: initial simplex is not convex. Distance=-4.2e-16\n", + "2246 has 0 neighbors !\n", + "4422 has 0 neighbors !\n", + "13393 has 0 neighbors !\n", + "--------Num of points that have zero neighbors 4\n", + "--------Num Neighbors before symmetrize 99581\n", + "--------Num Neighbors after symmetrize 108440\n", + "Total volume=6049.231566\n", + "Total FluxArea =39.83851721\n", + "Total FluxAreaXM =0\n", + "Total FluxAreaXP =0\n", + "Total FluxAreaYM =24.25749724\n", + "Total FluxAreaYP =15.58101996\n", + "Total FluxAreaZM =0\n", + "Total FluxAreaZP =0\n", + "mesh initialized\n", + "preprocessing finished\n", + "pdeCount=4, odeCount=0\n", + "No log-file found at constructed path `/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_yvlzpsva/SimID_931541684_0_.log`.simulation [SimID_931541684_0_] started\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0000.sim\n", + "[[[data:0]]]\n", + "numVolRegions=4\n", + "Region 0: size=321351, offset=0\n", + "Region 1: size=36741, offset=321351\n", + "Region 2: size=9143, offset=358092\n", + "Region 3: size=1, offset=367235\n", + "# of active points = 367236\n", + "Constant diffusion/advection in region cytosol1\n", + "Constant diffusion/advection in region Nucleus2\n", + "Constant diffusion/advection in region cytosol3\n", + "numUnknowns = 119369\n", + "\n", + "****** using Sundials CVode with PREC_LEFT, relTol=1e-07, absTol=1e-09, maxStep=0.1\n", + "\n", + "----------------------------------\n", + "sundials pde solver is starting from time 0\n", + "----------------------------------\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0001.sim\n", + "[[[data:0.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0002.sim\n", + "[[[data:0.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0003.sim\n", + "[[[data:0.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0004.sim\n", + "[[[data:0.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0005.sim\n", + "[[[data:0.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0006.sim\n", + "[[[data:0.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0085.sim\n", + "[[[data:8.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0086.sim\n", + "[[[data:8.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0087.sim\n", + "[[[data:8.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0088.sim\n", + "[[[data:8.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0089.sim\n", + "[[[data:8.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0090.sim\n", + "[[[data:9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0091.sim\n", + "[[[data:9.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0092.sim\n", + "[[[data:9.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0093.sim\n", + "[[[data:9.3]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.93, time=9.3\n", + "[[[progress:93%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0094.sim\n", + "[[[data:9.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0095.sim\n", + "[[[data:9.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0096.sim\n", + "[[[data:9.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0097.sim\n", + "[[[data:9.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0098.sim\n", + "[[[data:9.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0099.sim\n", + "[[[data:9.9]]]\n", + "Final Statistics.. \n", + "\n", + "lenrw = 1193779 leniw = 50\n", + "lenrwLS = 1193736 leniwLS = 10\n", + "nst = 193\n", + "nfe = 221 nfeLS = 302\n", + "nni = 217 nli = 302\n", + "nsetups = 65 netf = 3\n", + "npe = 4 nps = 498\n", + "ncfn = 0 ncfl = 1\n", + "last step = 0.100000\n", + "\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_931541684_0_0100.sim\n", + "[[[data:10]]][[[progress:100%]]]running sim with r0.Kf=1.6924814508056005\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:49:39.906478Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:49:39.910267Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@1bc02189 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:40.221483Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@1bc02189 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:49:40,226 INFO (Entrypoints.java:200) - Returning from vcellToVcml: {\"success\":true,\"message\":\"Success\"}\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:49:40.243347Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:49:40.244719Z main WARN The Logger org.vcell.libvcell.Entrypoints was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@340625c2 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:40.249056Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@340625c2 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:40.266769Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@340625c2 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:49:40,400 INFO (Entrypoints.java:83) - Returning from vcmlToFiniteVolumeInput: {\"success\":true,\"message\":\"Success\"}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Simulation Complete in Main() ... \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------- sim summary ----------------\n", + "Cartesian Mesh: Domain x:[0,74.24] y:[0,74.24] z:[0,26]\n", + " Elements numX=101 numY=101 numZ=36\n", + "\n", + "\ttime = 10 sec\n", + "\tdT = 0.1 sec\n", + "--------------------------------------------\n", + "Setting Base file name to: `\"/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_njo72gha/SimID_1162785424_0_\"`\n", + "initializing mesh\n", + "numVolume=367236\n", + "\n", + "CartesianMesh::computeNormalsFromNeighbors(), compute normals from neighbors\n", + "Membrane Elements -> N=16791\n", + "==============================================\n", + "qhull precision warning: \n", + "572 has 0 neighbors !\n", + "qhull precision error: initial simplex is not convex. Distance=-4.2e-16\n", + "2246 has 0 neighbors !\n", + "4422 has 0 neighbors !\n", + "13393 has 0 neighbors !\n", + "--------Num of points that have zero neighbors 4\n", + "--------Num Neighbors before symmetrize 99581\n", + "--------Num Neighbors after symmetrize 108440\n", + "Total volume=6049.231566\n", + "Total FluxArea =39.83851721\n", + "Total FluxAreaXM =0\n", + "Total FluxAreaXP =0\n", + "Total FluxAreaYM =24.25749724\n", + "Total FluxAreaYP =15.58101996\n", + "Total FluxAreaZM =0\n", + "Total FluxAreaZP =0\n", + "mesh initialized\n", + "preprocessing finished\n", + "pdeCount=4, odeCount=0\n", + "No log-file found at constructed path `/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_njo72gha/SimID_1162785424_0_.log`.simulation [SimID_1162785424_0_] started\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0000.sim\n", + "[[[data:0]]]\n", + "numVolRegions=4\n", + "Region 0: size=321351, offset=0\n", + "Region 1: size=36741, offset=321351\n", + "Region 2: size=9143, offset=358092\n", + "Region 3: size=1, offset=367235\n", + "# of active points = 367236\n", + "Constant diffusion/advection in region cytosol1\n", + "Constant diffusion/advection in region Nucleus2\n", + "Constant diffusion/advection in region cytosol3\n", + "numUnknowns = 119369\n", + "\n", + "****** using Sundials CVode with PREC_LEFT, relTol=1e-07, absTol=1e-09, maxStep=0.1\n", + "\n", + "----------------------------------\n", + "sundials pde solver is starting from time 0\n", + "----------------------------------\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0001.sim\n", + "[[[data:0.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0002.sim\n", + "[[[data:0.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0003.sim\n", + "[[[data:0.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0004.sim\n", + "[[[data:0.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0005.sim\n", + "[[[data:0.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0006.sim\n", + "[[[data:0.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0007.sim\n", + "[[[data:0.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0008.sim\n", + "[[[data:0.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0009.sim\n", + "[[[data:0.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0010.sim\n", + "[[[data:1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0011.sim\n", + "[[[data:1.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0012.sim\n", + "[[[data:1.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0013.sim\n", + "[[[data:1.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0014.sim\n", + "[[[data:1.4]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.14, time=1.4\n", + "[[[progress:14%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0015.sim\n", + "[[[data:1.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0016.sim\n", + "[[[data:1.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0017.sim\n", + "[[[data:1.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0018.sim\n", + "[[[data:1.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0019.sim\n", + "[[[data:1.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0020.sim\n", + "[[[data:2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0021.sim\n", + "[[[data:2.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0022.sim\n", + "[[[data:2.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0023.sim\n", + "[[[data:2.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0024.sim\n", + "[[[data:2.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0025.sim\n", + "[[[data:2.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0026.sim\n", + "[[[data:2.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0027.sim\n", + "[[[data:2.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0028.sim\n", + "[[[data:2.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0029.sim\n", + "[[[data:2.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0030.sim\n", + "[[[data:3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0031.sim\n", + "[[[data:3.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0032.sim\n", + "[[[data:3.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0033.sim\n", + "[[[data:3.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0034.sim\n", + "[[[data:3.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0035.sim\n", + "[[[data:3.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0036.sim\n", + "[[[data:3.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0037.sim\n", + "[[[data:3.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0038.sim\n", + "[[[data:3.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0039.sim\n", + "[[[data:3.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0040.sim\n", + "[[[data:4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0041.sim\n", + "[[[data:4.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0042.sim\n", + "[[[data:4.2]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.42, time=4.2\n", + "[[[progress:42%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0043.sim\n", + "[[[data:4.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0044.sim\n", + "[[[data:4.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0045.sim\n", + "[[[data:4.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0046.sim\n", + "[[[data:4.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0047.sim\n", + "[[[data:4.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0048.sim\n", + "[[[data:4.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0049.sim\n", + "[[[data:4.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0050.sim\n", + "[[[data:5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0051.sim\n", + "[[[data:5.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0052.sim\n", + "[[[data:5.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0053.sim\n", + "[[[data:5.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0054.sim\n", + "[[[data:5.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0055.sim\n", + "[[[data:5.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0056.sim\n", + "[[[data:5.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0057.sim\n", + "[[[data:5.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0058.sim\n", + "[[[data:5.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0059.sim\n", + "[[[data:5.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0060.sim\n", + "[[[data:6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0061.sim\n", + "[[[data:6.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0062.sim\n", + "[[[data:6.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0063.sim\n", + "[[[data:6.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0064.sim\n", + "[[[data:6.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0065.sim\n", + "[[[data:6.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0066.sim\n", + "[[[data:6.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0067.sim\n", + "[[[data:6.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0068.sim\n", + "[[[data:6.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0069.sim\n", + "[[[data:6.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0070.sim\n", + "[[[data:7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0071.sim\n", + "[[[data:7.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0072.sim\n", + "[[[data:7.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0073.sim\n", + "[[[data:7.3]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.73, time=7.3\n", + "[[[progress:73%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0074.sim\n", + "[[[data:7.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0075.sim\n", + "[[[data:7.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0076.sim\n", + "[[[data:7.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0077.sim\n", + "[[[data:7.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0078.sim\n", + "[[[data:7.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0079.sim\n", + "[[[data:7.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0080.sim\n", + "[[[data:8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0081.sim\n", + "[[[data:8.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0082.sim\n", + "[[[data:8.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0083.sim\n", + "[[[data:8.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0084.sim\n", + "[[[data:8.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0085.sim\n", + "[[[data:8.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0086.sim\n", + "[[[data:8.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0087.sim\n", + "[[[data:8.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0088.sim\n", + "[[[data:8.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0089.sim\n", + "[[[data:8.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0090.sim\n", + "[[[data:9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0091.sim\n", + "[[[data:9.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0092.sim\n", + "[[[data:9.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0093.sim\n", + "[[[data:9.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0094.sim\n", + "[[[data:9.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0095.sim\n", + "[[[data:9.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0096.sim\n", + "[[[data:9.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0097.sim\n", + "[[[data:9.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0098.sim\n", + "[[[data:9.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0099.sim\n", + "[[[data:9.9]]]\n", + "Final Statistics.. \n", + "\n", + "lenrw = 1193779 leniw = 50\n", + "lenrwLS = 1193736 leniwLS = 10\n", + "nst = 169\n", + "nfe = 183 nfeLS = 301\n", + "nni = 179 nli = 301\n", + "nsetups = 35 netf = 0\n", + "npe = 3 nps = 464\n", + "ncfn = 0 ncfl = 0\n", + "last step = 0.100000\n", + "\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1162785424_0_0100.sim\n", + "[[[data:10]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=1, time=10\n", + "[[[progress:100%]]][[[progress:100%]]]running sim with r0.Kf=0.30891448453410447\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:49:52.053552Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:49:52.057649Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@3e37ce1a and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:52.385120Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@3e37ce1a and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:49:52,390 INFO (Entrypoints.java:200) - Returning from vcellToVcml: {\"success\":true,\"message\":\"Success\"}\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:49:52.407681Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:49:52.408595Z main WARN The Logger org.vcell.libvcell.Entrypoints was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@7fe45ffd and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:52.412253Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@7fe45ffd and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:49:52.428987Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@7fe45ffd and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:49:52,536 INFO (Entrypoints.java:83) - Returning from vcmlToFiniteVolumeInput: {\"success\":true,\"message\":\"Success\"}\n", + "--------------- sim summary ----------------\n", + "Cartesian Mesh: Domain x:[0,74.24] y:[0,74.24] z:[0,26]\n", + " Elements numX=101 numY=101 numZ=36\n", + "\n", + "\ttime = 10 sec\n", + "\tdT = 0.1 sec\n", + "--------------------------------------------\n", + "Setting Base file name to: `\"/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_l5kdyf_l/SimID_613239183_0_\"`\n", + "initializing mesh\n", + "numVolume=367236\n", + "\n", + "CartesianMesh::computeNormalsFromNeighbors(), compute normals from neighbors\n", + "Membrane Elements -> N=16791\n", + "==============================================\n", + "qhull precision warning: \n", + "572 has 0 neighbors !\n", + "qhull precision error: initial simplex is not convex. Distance=-4.2e-16\n", + "2246 has 0 neighbors !\n", + "4422 has 0 neighbors !\n", + "13393 has 0 neighbors !\n", + "--------Num of points that have zero neighbors 4\n", + "--------Num Neighbors before symmetrize 99581\n", + "--------Num Neighbors after symmetrize 108440\n", + "Total volume=6049.231566\n", + "Total FluxArea =39.83851721\n", + "Total FluxAreaXM =0\n", + "Total FluxAreaXP =0\n", + "Total FluxAreaYM =24.25749724\n", + "Total FluxAreaYP =15.58101996\n", + "Total FluxAreaZM =0\n", + "Total FluxAreaZP =0\n", + "mesh initialized\n", + "preprocessing finished\n", + "pdeCount=4, odeCount=0\n", + "No log-file found at constructed path `/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_l5kdyf_l/SimID_613239183_0_.log`.simulation [SimID_613239183_0_] started\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0000.sim\n", + "[[[data:0]]]\n", + "numVolRegions=4\n", + "Region 0: size=321351, offset=0\n", + "Region 1: size=36741, offset=321351\n", + "Region 2: size=9143, offset=358092\n", + "Region 3: size=1, offset=367235\n", + "# of active points = 367236\n", + "Constant diffusion/advection in region cytosol1\n", + "Constant diffusion/advection in region Nucleus2\n", + "Constant diffusion/advection in region cytosol3\n", + "numUnknowns = 119369\n", + "\n", + "****** using Sundials CVode with PREC_LEFT, relTol=1e-07, absTol=1e-09, maxStep=0.1\n", + "\n", + "----------------------------------\n", + "sundials pde solver is starting from time 0\n", + "----------------------------------\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0001.sim\n", + "[[[data:0.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0002.sim\n", + "[[[data:0.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0003.sim\n", + "[[[data:0.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0004.sim\n", + "[[[data:0.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0005.sim\n", + "[[[data:0.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0006.sim\n", + "[[[data:0.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0007.sim\n", + "[[[data:0.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0008.sim\n", + "[[[data:0.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0009.sim\n", + "[[[data:0.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0010.sim\n", + "[[[data:1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0011.sim\n", + "[[[data:1.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0012.sim\n", + "[[[data:1.2]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.12, time=1.2\n", + "[[[progress:12%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0013.sim\n", + "[[[data:1.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0014.sim\n", + "[[[data:1.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0015.sim\n", + "[[[data:1.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0016.sim\n", + "[[[data:1.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0017.sim\n", + "[[[data:1.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0018.sim\n", + "[[[data:1.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0019.sim\n", + "[[[data:1.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0020.sim\n", + "[[[data:2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0021.sim\n", + "[[[data:2.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0022.sim\n", + "[[[data:2.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0023.sim\n", + "[[[data:2.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0024.sim\n", + "[[[data:2.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0025.sim\n", + "[[[data:2.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0026.sim\n", + "[[[data:2.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0027.sim\n", + "[[[data:2.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0028.sim\n", + "[[[data:2.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0029.sim\n", + "[[[data:2.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0030.sim\n", + "[[[data:3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0031.sim\n", + "[[[data:3.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0032.sim\n", + "[[[data:3.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0033.sim\n", + "[[[data:3.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0034.sim\n", + "[[[data:3.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0035.sim\n", + "[[[data:3.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0036.sim\n", + "[[[data:3.6]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.36, time=3.6\n", + "[[[progress:36%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0037.sim\n", + "[[[data:3.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0038.sim\n", + "[[[data:3.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0039.sim\n", + "[[[data:3.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0040.sim\n", + "[[[data:4]]]temporary directory used is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0046.sim\n", + "[[[data:4.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0047.sim\n", + "[[[data:4.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0048.sim\n", + "[[[data:4.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0049.sim\n", + "[[[data:4.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0050.sim\n", + "[[[data:5]]]temporary directory used is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0061.sim\n", + "[[[data:6.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0062.sim\n", + "[[[data:6.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0063.sim\n", + "[[[data:6.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0064.sim\n", + "[[[data:6.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0065.sim\n", + "[[[data:6.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0066.sim\n", + "[[[data:6.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0067.sim\n", + "[[[data:6.7]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.67, time=6.7\n", + "[[[progress:67%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0068.sim\n", + "[[[data:6.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0069.sim\n", + "[[[data:6.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0070.sim\n", + "[[[data:7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0071.sim\n", + "[[[data:7.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0072.sim\n", + "[[[data:7.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0073.sim\n", + "[[[data:7.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0074.sim\n", + "[[[data:7.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0075.sim\n", + "[[[data:7.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0076.sim\n", + "[[[data:7.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0077.sim\n", + "[[[data:7.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0078.sim\n", + "[[[data:7.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0079.sim\n", + "[[[data:7.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0080.sim\n", + "[[[data:8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0081.sim\n", + "[[[data:8.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0082.sim\n", + "[[[data:8.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0083.sim\n", + "[[[data:8.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0084.sim\n", + "[[[data:8.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0090.sim\n", + "[[[data:9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0091.sim\n", + "[[[data:9.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0092.sim\n", + "[[[data:9.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0093.sim\n", + "[[[data:9.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0094.sim\n", + "[[[data:9.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0095.sim\n", + "[[[data:9.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0096.sim\n", + "[[[data:9.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0097.sim\n", + "[[[data:9.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0098.sim\n", + "[[[data:9.8]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.98, time=9.8\n", + "[[[progress:98%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0099.sim\n", + "[[[data:9.9]]]\n", + "Final Statistics.. \n", + "\n", + "lenrw = 1193779 leniw = 50\n", + "lenrwLS = 1193736 leniwLS = 10\n", + "nst = 185\n", + "nfe = 203 nfeLS = 325\n", + "nni = 199 nli = 325\n", + "nsetups = 57 netf = 0\n", + "npe = 4 nps = 503\n", + "ncfn = 0 ncfl = 2\n", + "last step = 0.100000\n", + "\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_613239183_0_0100.sim\n", + "[[[data:10]]][[[progress:100%]]]" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Simulation Complete in Main() ... \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running sim with r0.Kf=3.5109627491740767\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:50:04.300567Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:50:04.304818Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@a5cf5b3 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:04.665986Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@a5cf5b3 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:50:04,670 INFO (Entrypoints.java:200) - Returning from vcellToVcml: {\"success\":true,\"message\":\"Success\"}\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:50:04.688085Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:50:04.689098Z main WARN The Logger org.vcell.libvcell.Entrypoints was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@1731d832 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:04.693160Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@1731d832 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:04.711363Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@1731d832 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:50:04,829 INFO (Entrypoints.java:83) - Returning from vcmlToFiniteVolumeInput: {\"success\":true,\"message\":\"Success\"}\n", + "--------------- sim summary ----------------\n", + "Cartesian Mesh: Domain x:[0,74.24] y:[0,74.24] z:[0,26]\n", + " Elements numX=101 numY=101 numZ=36\n", + "\n", + "\ttime = 10 sec\n", + "\tdT = 0.1 sec\n", + "--------------------------------------------\n", + "Setting Base file name to: `\"/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_mcaqe998/SimID_1859846066_0_\"`\n", + "initializing mesh\n", + "numVolume=367236\n", + "\n", + "CartesianMesh::computeNormalsFromNeighbors(), compute normals from neighbors\n", + "Membrane Elements -> N=16791\n", + "==============================================\n", + "qhull precision warning: \n", + "572 has 0 neighbors !\n", + "qhull precision error: initial simplex is not convex. Distance=-4.2e-16\n", + "2246 has 0 neighbors !\n", + "4422 has 0 neighbors !\n", + "13393 has 0 neighbors !\n", + "--------Num of points that have zero neighbors 4\n", + "--------Num Neighbors before symmetrize 99581\n", + "--------Num Neighbors after symmetrize 108440\n", + "Total volume=6049.231566\n", + "Total FluxArea =39.83851721\n", + "Total FluxAreaXM =0\n", + "Total FluxAreaXP =0\n", + "Total FluxAreaYM =24.25749724\n", + "Total FluxAreaYP =15.58101996\n", + "Total FluxAreaZM =0\n", + "Total FluxAreaZP =0\n", + "mesh initialized\n", + "preprocessing finished\n", + "pdeCount=4, odeCount=0\n", + "No log-file found at constructed path `/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_mcaqe998/SimID_1859846066_0_.log`.simulation [SimID_1859846066_0_] started\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0000.sim\n", + "[[[data:0]]]\n", + "numVolRegions=4\n", + "Region 0: size=321351, offset=0\n", + "Region 1: size=36741, offset=321351\n", + "Region 2: size=9143, offset=358092\n", + "Region 3: size=1, offset=367235\n", + "# of active points = 367236\n", + "Constant diffusion/advection in region cytosol1\n", + "Constant diffusion/advection in region Nucleus2\n", + "Constant diffusion/advection in region cytosol3\n", + "numUnknowns = 119369\n", + "\n", + "****** using Sundials CVode with PREC_LEFT, relTol=1e-07, absTol=1e-09, maxStep=0.1\n", + "\n", + "----------------------------------\n", + "sundials pde solver is starting from time 0\n", + "----------------------------------\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0001.sim\n", + "[[[data:0.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is 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"[[[data:6.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0066.sim\n", + "[[[data:6.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0067.sim\n", + "[[[data:6.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0068.sim\n", + "[[[data:6.8]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.68, time=6.8\n", + "[[[progress:68%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0069.sim\n", + "[[[data:6.9]]]temporary directory used is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0075.sim\n", + "[[[data:7.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0076.sim\n", + "[[[data:7.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0077.sim\n", + "[[[data:7.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0078.sim\n", + "[[[data:7.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0079.sim\n", + "[[[data:7.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0080.sim\n", + "[[[data:8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0081.sim\n", + "[[[data:8.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0082.sim\n", + "[[[data:8.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0083.sim\n", + "[[[data:8.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0084.sim\n", + "[[[data:8.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0085.sim\n", + "[[[data:8.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0086.sim\n", + "[[[data:8.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0087.sim\n", + "[[[data:8.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0088.sim\n", + "[[[data:8.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0089.sim\n", + "[[[data:8.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0090.sim\n", + "[[[data:9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0091.sim\n", + "[[[data:9.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0092.sim\n", + "[[[data:9.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0093.sim\n", + "[[[data:9.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0094.sim\n", + "[[[data:9.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0095.sim\n", + "[[[data:9.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0096.sim\n", + "[[[data:9.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0097.sim\n", + "[[[data:9.7]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.97, time=9.7\n", + "[[[progress:97%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0098.sim\n", + "[[[data:9.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0099.sim\n", + "[[[data:9.9]]]\n", + "Final Statistics.. \n", + "\n", + "lenrw = 1193779 leniw = 50\n", + "lenrwLS = 1193736 leniwLS = 10\n", + "nst = 182\n", + "nfe = 200 nfeLS = 293\n", + "nni = 196 nli = 293\n", + "nsetups = 50 netf = 0\n", + "npe = 4 nps = 467\n", + "ncfn = 0 ncfl = 0\n", + "last step = 0.100000\n", + "\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1859846066_0_0100.sim\n", + "[[[data:10]]][[[progress:100%]]]" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Simulation Complete in Main() ... \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running sim with r0.Kf=0.5059998083531516\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:50:16.758169Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:50:16.761910Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@5e57cc3b and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:17.090642Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@5e57cc3b and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:50:17,095 INFO (Entrypoints.java:200) - Returning from vcellToVcml: {\"success\":true,\"message\":\"Success\"}\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:50:17.110855Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:50:17.111737Z main WARN The Logger org.vcell.libvcell.Entrypoints was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@46f0f8d3 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:17.115210Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@46f0f8d3 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:17.131340Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@46f0f8d3 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:50:17,233 INFO (Entrypoints.java:83) - Returning from vcmlToFiniteVolumeInput: {\"success\":true,\"message\":\"Success\"}\n", + "--------------- sim summary ----------------\n", + "Cartesian Mesh: Domain x:[0,74.24] y:[0,74.24] z:[0,26]\n", + " Elements numX=101 numY=101 numZ=36\n", + "\n", + "\ttime = 10 sec\n", + "\tdT = 0.1 sec\n", + "--------------------------------------------\n", + "Setting Base file name to: `\"/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_90cizocf/SimID_2056417711_0_\"`\n", + "initializing mesh\n", + "numVolume=367236\n", + "\n", + "CartesianMesh::computeNormalsFromNeighbors(), compute normals from neighbors\n", + "Membrane Elements -> N=16791\n", + "==============================================\n", + "qhull precision warning: \n", + "572 has 0 neighbors !\n", + "qhull precision error: initial simplex is not convex. Distance=-4.2e-16\n", + "2246 has 0 neighbors !\n", + "4422 has 0 neighbors !\n", + "13393 has 0 neighbors !\n", + "--------Num of points that have zero neighbors 4\n", + "--------Num Neighbors before symmetrize 99581\n", + "--------Num Neighbors after symmetrize 108440\n", + "Total volume=6049.231566\n", + "Total FluxArea =39.83851721\n", + "Total FluxAreaXM =0\n", + "Total FluxAreaXP =0\n", + "Total FluxAreaYM =24.25749724\n", + "Total FluxAreaYP =15.58101996\n", + "Total FluxAreaZM =0\n", + "Total FluxAreaZP =0\n", + "mesh initialized\n", + "preprocessing finished\n", + "pdeCount=4, odeCount=0\n", + "No log-file found at constructed path `/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_90cizocf/SimID_2056417711_0_.log`.simulation [SimID_2056417711_0_] started\n", + "temporary directory used is " + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Simulation Complete in Main() ... \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0000.sim\n", + "[[[data:0]]]\n", + "numVolRegions=4\n", + "Region 0: size=321351, offset=0\n", + "Region 1: size=36741, offset=321351\n", + "Region 2: size=9143, offset=358092\n", + "Region 3: size=1, offset=367235\n", + "# of active points = 367236\n", + "Constant diffusion/advection in region cytosol1\n", + "Constant diffusion/advection in region Nucleus2\n", + "Constant diffusion/advection in region cytosol3\n", + "numUnknowns = 119369\n", + "\n", + "****** using Sundials CVode with PREC_LEFT, relTol=1e-07, absTol=1e-09, maxStep=0.1\n", + "\n", + "----------------------------------\n", + "sundials pde solver is starting from time 0\n", + "----------------------------------\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0001.sim\n", + "[[[data:0.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0002.sim\n", + "[[[data:0.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0003.sim\n", + "[[[data:0.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0004.sim\n", + "[[[data:0.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0005.sim\n", + "[[[data:0.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is 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JOB_PROGRESS to SimulationMessaging: percentile=0.74, time=7.4\n", + "[[[progress:74%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0075.sim\n", + "[[[data:7.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0076.sim\n", + "[[[data:7.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0077.sim\n", + "[[[data:7.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0078.sim\n", + "[[[data:7.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0079.sim\n", + "[[[data:7.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0080.sim\n", + "[[[data:8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0081.sim\n", + "[[[data:8.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0082.sim\n", + "[[[data:8.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0083.sim\n", + "[[[data:8.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0084.sim\n", + "[[[data:8.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0085.sim\n", + "[[[data:8.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0086.sim\n", + "[[[data:8.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0087.sim\n", + "[[[data:8.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0088.sim\n", + "[[[data:8.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0089.sim\n", + "[[[data:8.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0090.sim\n", + "[[[data:9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0091.sim\n", + "[[[data:9.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0092.sim\n", + "[[[data:9.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0093.sim\n", + "[[[data:9.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0094.sim\n", + "[[[data:9.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0095.sim\n", + "[[[data:9.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0096.sim\n", + "[[[data:9.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0097.sim\n", + "[[[data:9.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0098.sim\n", + "[[[data:9.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0099.sim\n", + "[[[data:9.9]]]\n", + "Final Statistics.. \n", + "\n", + "lenrw = 1193779 leniw = 50\n", + "lenrwLS = 1193736 leniwLS = 10\n", + "nst = 190\n", + "nfe = 210 nfeLS = 254\n", + "nni = 206 nli = 254\n", + "nsetups = 62 netf = 0\n", + "npe = 4 nps = 440\n", + "ncfn = 0 ncfl = 0\n", + "last step = 0.100000\n", + "\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_2056417711_0_0100.sim\n", + "[[[data:10]]][[[progress:100%]]]running sim with r0.Kf=1.0340456204866892\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:50:28.505919Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:50:28.509376Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@342e2ac9 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:28.832997Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@342e2ac9 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:50:28,838 INFO (Entrypoints.java:200) - Returning from vcellToVcml: {\"success\":true,\"message\":\"Success\"}\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:50:28.854383Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:50:28.855282Z main WARN The Logger org.vcell.libvcell.Entrypoints was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@7f698ed5 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:28.858777Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@7f698ed5 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:28.875853Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@7f698ed5 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:50:28,981 INFO (Entrypoints.java:83) - Returning from vcmlToFiniteVolumeInput: {\"success\":true,\"message\":\"Success\"}\n", + "--------------- sim summary ----------------\n", + "Cartesian Mesh: Domain x:[0,74.24] y:[0,74.24] z:[0,26]\n", + " Elements numX=101 numY=101 numZ=36\n", + "\n", + "\ttime = 10 sec\n", + "\tdT = 0.1 sec\n", + "--------------------------------------------\n", + "Setting Base file name to: `\"/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_nr57ja8k/SimID_1658449287_0_\"`\n", + "initializing mesh\n", + "numVolume=367236\n", + "\n", + "CartesianMesh::computeNormalsFromNeighbors(), compute normals from neighbors\n", + "Membrane Elements -> N=16791\n", + "==============================================\n", + "qhull precision warning: \n", + "572 has 0 neighbors !\n", + "qhull precision error: initial simplex is not convex. Distance=-4.2e-16\n", + "2246 has 0 neighbors !\n", + "4422 has 0 neighbors !\n", + "13393 has 0 neighbors !\n", + "--------Num of points that have zero neighbors 4\n", + "--------Num Neighbors before symmetrize 99581\n", + "--------Num Neighbors after symmetrize 108440\n", + "Total volume=6049.231566\n", + "Total FluxArea =39.83851721\n", + "Total FluxAreaXM =0\n", + "Total FluxAreaXP =0\n", + "Total FluxAreaYM =24.25749724\n", + "Total FluxAreaYP =15.58101996\n", + "Total FluxAreaZM =0\n", + "Total FluxAreaZP =0\n", + "mesh initialized\n", + "preprocessing finished\n", + "pdeCount=4, odeCount=0\n", + "No log-file found at constructed path `/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_nr57ja8k/SimID_1658449287_0_.log`.simulation [SimID_1658449287_0_] started\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0000.sim\n", + "[[[data:0]]]\n", + "numVolRegions=4\n", + "Region 0: size=321351, offset=0\n", + "Region 1: size=36741, offset=321351\n", + "Region 2: size=9143, offset=358092\n", + "Region 3: size=1, offset=367235\n", + "# of active points = 367236\n", + "Constant diffusion/advection in region cytosol1\n", + "Constant diffusion/advection in region Nucleus2\n", + "Constant diffusion/advection in region cytosol3\n", + "numUnknowns = 119369\n", + "\n", + "****** using Sundials CVode with PREC_LEFT, relTol=1e-07, absTol=1e-09, maxStep=0.1\n", + "\n", + "----------------------------------\n", + "sundials pde solver is starting from time 0\n", + "----------------------------------\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0001.sim\n", + "[[[data:0.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0002.sim\n", + "[[[data:0.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0003.sim\n", + "[[[data:0.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0004.sim\n", + "[[[data:0.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0005.sim\n", + "[[[data:0.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0006.sim\n", + "[[[data:0.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0007.sim\n", + "[[[data:0.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0008.sim\n", + "[[[data:0.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0009.sim\n", + "[[[data:0.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0010.sim\n", + "[[[data:1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0011.sim\n", + "[[[data:1.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0012.sim\n", + "[[[data:1.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0013.sim\n", + "[[[data:1.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0014.sim\n", + "[[[data:1.4]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.14, time=1.4\n", + "[[[progress:14%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0015.sim\n", + "[[[data:1.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0016.sim\n", + "[[[data:1.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0017.sim\n", + "[[[data:1.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0018.sim\n", + "[[[data:1.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0019.sim\n", + "[[[data:1.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0020.sim\n", + "[[[data:2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0021.sim\n", + "[[[data:2.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0022.sim\n", + "[[[data:2.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0023.sim\n", + "[[[data:2.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0024.sim\n", + "[[[data:2.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0025.sim\n", + "[[[data:2.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0026.sim\n", + "[[[data:2.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0027.sim\n", + "[[[data:2.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0028.sim\n", + "[[[data:2.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0029.sim\n", + "[[[data:2.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0030.sim\n", + "[[[data:3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0031.sim\n", + "[[[data:3.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0032.sim\n", + "[[[data:3.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0033.sim\n", + "[[[data:3.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0034.sim\n", + "[[[data:3.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0035.sim\n", + "[[[data:3.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0036.sim\n", + "[[[data:3.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0037.sim\n", + "[[[data:3.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0038.sim\n", + "[[[data:3.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0039.sim\n", + "[[[data:3.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0040.sim\n", + "[[[data:4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0041.sim\n", + "[[[data:4.1]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.41, time=4.1\n", + "[[[progress:41%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0042.sim\n", + "[[[data:4.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0043.sim\n", + "[[[data:4.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0044.sim\n", + "[[[data:4.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0045.sim\n", + "[[[data:4.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0046.sim\n", + "[[[data:4.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0047.sim\n", + "[[[data:4.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0048.sim\n", + "[[[data:4.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0049.sim\n", + "[[[data:4.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0050.sim\n", + "[[[data:5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0051.sim\n", + "[[[data:5.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0052.sim\n", + "[[[data:5.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0053.sim\n", + "[[[data:5.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0054.sim\n", + "[[[data:5.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0055.sim\n", + "[[[data:5.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0056.sim\n", + "[[[data:5.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0057.sim\n", + "[[[data:5.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0058.sim\n", + "[[[data:5.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0059.sim\n", + "[[[data:5.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0060.sim\n", + "[[[data:6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0061.sim\n", + "[[[data:6.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0062.sim\n", + "[[[data:6.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0063.sim\n", + "[[[data:6.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0064.sim\n", + "[[[data:6.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0065.sim\n", + "[[[data:6.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0066.sim\n", + "[[[data:6.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0067.sim\n", + "[[[data:6.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0068.sim\n", + "[[[data:6.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0069.sim\n", + "[[[data:6.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0070.sim\n", + "[[[data:7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0071.sim\n", + "[[[data:7.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0072.sim\n", + "[[[data:7.2]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.72, time=7.2\n", + "[[[progress:72%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0073.sim\n", + "[[[data:7.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0074.sim\n", + "[[[data:7.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0075.sim\n", + "[[[data:7.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0076.sim\n", + "[[[data:7.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0077.sim\n", + "[[[data:7.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0078.sim\n", + "[[[data:7.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0079.sim\n", + "[[[data:7.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0080.sim\n", + "[[[data:8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0081.sim\n", + "[[[data:8.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0082.sim\n", + "[[[data:8.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0083.sim\n", + "[[[data:8.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0084.sim\n", + "[[[data:8.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0085.sim\n", + "[[[data:8.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0086.sim\n", + "[[[data:8.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0087.sim\n", + "[[[data:8.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0088.sim\n", + "[[[data:8.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0089.sim\n", + "[[[data:8.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0090.sim\n", + "[[[data:9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0091.sim\n", + "[[[data:9.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0092.sim\n", + "[[[data:9.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0093.sim\n", + "[[[data:9.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0094.sim\n", + "[[[data:9.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0095.sim\n", + "[[[data:9.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0096.sim\n", + "[[[data:9.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0097.sim\n", + "[[[data:9.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0098.sim\n", + "[[[data:9.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0099.sim\n", + "[[[data:9.9]]]\n", + "Final Statistics.. \n", + "\n", + "lenrw = 1193779 leniw = 50\n", + "lenrwLS = 1193736 leniwLS = 10\n", + "nst = 176\n", + "nfe = 199 nfeLS = 285\n", + "nni = 195 nli = 285\n", + "nsetups = 54 netf = 1\n", + "npe = 3 nps = 460\n", + "ncfn = 0 ncfl = 0\n", + "last step = 0.100000\n", + "\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_1658449287_0_0100.sim\n", + "[[[data:10]]][[[progress:100%]]]" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Simulation Complete in Main() ... \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running sim with r0.Kf=0.44021092229024283\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:50:40.296772Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:50:40.300337Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@3b270a6c and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:40.597675Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@3b270a6c and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:50:40,602 INFO (Entrypoints.java:200) - Returning from vcellToVcml: {\"success\":true,\"message\":\"Success\"}\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:50:40.617688Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:50:40.618846Z main WARN The Logger org.vcell.libvcell.Entrypoints was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@60d13714 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:40.622933Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@60d13714 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:40.640190Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@60d13714 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:50:40,752 INFO (Entrypoints.java:83) - Returning from vcmlToFiniteVolumeInput: {\"success\":true,\"message\":\"Success\"}\n", + "--------------- sim summary ----------------\n", + "Cartesian Mesh: Domain x:[0,74.24] y:[0,74.24] z:[0,26]\n", + " Elements numX=101 numY=101 numZ=36\n", + "\n", + "\ttime = 10 sec\n", + "\tdT = 0.1 sec\n", + "--------------------------------------------\n", + "Setting Base file name to: `\"/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_ih8brahl/SimID_188245486_0_\"`\n", + "initializing mesh\n", + "numVolume=367236\n", + "\n", + "CartesianMesh::computeNormalsFromNeighbors(), compute normals from neighbors\n", + "Membrane Elements -> N=16791\n", + "==============================================\n", + "qhull precision warning: \n", + "572 has 0 neighbors !\n", + "qhull precision error: initial simplex is not convex. Distance=-4.2e-16\n", + "2246 has 0 neighbors !\n", + "4422 has 0 neighbors !\n", + "13393 has 0 neighbors !\n", + "--------Num of points that have zero neighbors 4\n", + "--------Num Neighbors before symmetrize 99581\n", + "--------Num Neighbors after symmetrize 108440\n", + "Total volume=6049.231566\n", + "Total FluxArea =39.83851721\n", + "Total FluxAreaXM =0\n", + "Total FluxAreaXP =0\n", + "Total FluxAreaYM =24.25749724\n", + "Total FluxAreaYP =15.58101996\n", + "Total FluxAreaZM =0\n", + "Total FluxAreaZP =0\n", + "mesh initialized\n", + "preprocessing finished\n", + "pdeCount=4, odeCount=0\n", + "No log-file found at constructed path `/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_ih8brahl/SimID_188245486_0_.log`.simulation [SimID_188245486_0_] started\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0000.sim\n", + "[[[data:0]]]\n", + "numVolRegions=4\n", + "Region 0: size=321351, offset=0\n", + "Region 1: size=36741, offset=321351\n", + "Region 2: size=9143, offset=358092\n", + "Region 3: size=1, offset=367235\n", + "# of active points = 367236\n", + "Constant diffusion/advection in region cytosol1\n", + "Constant diffusion/advection in region Nucleus2\n", + "Constant diffusion/advection in region cytosol3\n", + "numUnknowns = 119369\n", + "\n", + "****** using Sundials CVode with PREC_LEFT, relTol=1e-07, absTol=1e-09, maxStep=0.1\n", + "\n", + "----------------------------------\n", + "sundials pde solver is starting from time 0\n", + "----------------------------------\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0001.sim\n", + "[[[data:0.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0002.sim\n", + "[[[data:0.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0003.sim\n", + "[[[data:0.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0004.sim\n", + "[[[data:0.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0005.sim\n", + "[[[data:0.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0006.sim\n", + "[[[data:0.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0007.sim\n", + "[[[data:0.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0008.sim\n", + "[[[data:0.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0009.sim\n", + "[[[data:0.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0010.sim\n", + "[[[data:1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0011.sim\n", + "[[[data:1.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0012.sim\n", + "[[[data:1.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0013.sim\n", + "[[[data:1.3]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.13, time=1.3\n", + "[[[progress:13%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0014.sim\n", + "[[[data:1.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0015.sim\n", + "[[[data:1.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0016.sim\n", + "[[[data:1.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0017.sim\n", + "[[[data:1.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0018.sim\n", + "[[[data:1.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0019.sim\n", + "[[[data:1.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0020.sim\n", + "[[[data:2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0021.sim\n", + "[[[data:2.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0022.sim\n", + "[[[data:2.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0023.sim\n", + "[[[data:2.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0024.sim\n", + "[[[data:2.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0025.sim\n", + "[[[data:2.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0026.sim\n", + "[[[data:2.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0027.sim\n", + "[[[data:2.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0028.sim\n", + "[[[data:2.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0029.sim\n", + "[[[data:2.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0030.sim\n", + "[[[data:3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0031.sim\n", + "[[[data:3.1]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.31, time=3.1\n", + "[[[progress:31%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0032.sim\n", + "[[[data:3.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0033.sim\n", + "[[[data:3.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0034.sim\n", + "[[[data:3.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0035.sim\n", + "[[[data:3.5]]]temporary directory used is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0046.sim\n", + "[[[data:4.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0047.sim\n", + "[[[data:4.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0048.sim\n", + "[[[data:4.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0049.sim\n", + "[[[data:4.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0050.sim\n", + "[[[data:5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0051.sim\n", + "[[[data:5.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0052.sim\n", + "[[[data:5.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0053.sim\n", + "[[[data:5.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0054.sim\n", + "[[[data:5.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0055.sim\n", + "[[[data:5.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0056.sim\n", + "[[[data:5.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0057.sim\n", + "[[[data:5.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0058.sim\n", + "[[[data:5.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0059.sim\n", + "[[[data:5.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0060.sim\n", + "[[[data:6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0061.sim\n", + "[[[data:6.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0062.sim\n", + "[[[data:6.2]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.62, time=6.2\n", + "[[[progress:62%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0063.sim\n", + "[[[data:6.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0064.sim\n", + "[[[data:6.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0065.sim\n", + "[[[data:6.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0066.sim\n", + "[[[data:6.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0067.sim\n", + "[[[data:6.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0068.sim\n", + "[[[data:6.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0069.sim\n", + "[[[data:6.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0070.sim\n", + "[[[data:7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0071.sim\n", + "[[[data:7.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0072.sim\n", + "[[[data:7.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0073.sim\n", + "[[[data:7.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0074.sim\n", + "[[[data:7.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0075.sim\n", + "[[[data:7.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0076.sim\n", + "[[[data:7.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0077.sim\n", + "[[[data:7.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0078.sim\n", + "[[[data:7.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0079.sim\n", + "[[[data:7.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0080.sim\n", + "[[[data:8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0081.sim\n", + "[[[data:8.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0082.sim\n", + "[[[data:8.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0083.sim\n", + "[[[data:8.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0084.sim\n", + "[[[data:8.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0085.sim\n", + "[[[data:8.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0086.sim\n", + "[[[data:8.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0087.sim\n", + "[[[data:8.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0088.sim\n", + "[[[data:8.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0089.sim\n", + "[[[data:8.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0090.sim\n", + "[[[data:9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0091.sim\n", + "[[[data:9.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0092.sim\n", + "[[[data:9.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0093.sim\n", + "[[[data:9.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0094.sim\n", + "[[[data:9.4]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.94, time=9.4\n", + "[[[progress:94%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0095.sim\n", + "[[[data:9.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0096.sim\n", + "[[[data:9.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0097.sim\n", + "[[[data:9.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0098.sim\n", + "[[[data:9.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0099.sim\n", + "[[[data:9.9]]]\n", + "Final Statistics.. \n", + "\n", + "lenrw = 1193779 leniw = 50\n", + "lenrwLS = 1193736 leniwLS = 10\n", + "nst = 228\n", + "nfe = 261 nfeLS = 344\n", + "nni = 257 nli = 344\n", + "nsetups = 78 netf = 5\n", + "npe = 5 nps = 566\n", + "ncfn = 0 ncfl = 1\n", + "last step = 0.100000\n", + "\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_188245486_0_0100.sim\n", + "[[[data:10]]][[[progress:100%]]]" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Simulation Complete in Main() ... \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "running sim with r0.Kf=2.7161175502471253\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:50:52.657380Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:50:52.661215Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@5a7a3806 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:52.983486Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@5a7a3806 and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:50:52,987 INFO (Entrypoints.java:200) - Returning from vcellToVcml: {\"success\":true,\"message\":\"Success\"}\n", + "Found shared library: /Users/jimschaff/Documents/workspace/pyvcell/.venv_jupyter/lib/python3.11/site-packages/libvcell/lib/libvcell.dylib\n", + "2025-04-14T03:50:53.003034Z main WARN The use of package scanning to locate Log4j plugins is deprecated.\n", + "Please remove the `packages` attribute from your configuration file.\n", + "See https://logging.apache.org/log4j/2.x/faq.html#package-scanning for details.\n", + "2025-04-14T03:50:53.003905Z main WARN The Logger org.vcell.libvcell.Entrypoints was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@1daa084e and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:53.007491Z main WARN The Logger cbit.vcell.model.Kinetics was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@1daa084e and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-14T03:50:53.023903Z main WARN The Logger cbit.vcell.mapping.AbstractMathMapping was created with the message factory org.apache.logging.log4j.message.ReusableMessageFactory@1daa084e and is now requested with a null message factory (defaults to org.apache.logging.log4j.message.ParameterizedMessageFactory), which may create log events with unexpected formatting.\n", + "2025-04-13 23:50:53,128 INFO (Entrypoints.java:83) - Returning from vcmlToFiniteVolumeInput: {\"success\":true,\"message\":\"Success\"}\n", + "--------------- sim summary ----------------\n", + "Cartesian Mesh: Domain x:[0,74.24] y:[0,74.24] z:[0,26]\n", + " Elements numX=101 numY=101 numZ=36\n", + "\n", + "\ttime = 10 sec\n", + "\tdT = 0.1 sec\n", + "--------------------------------------------\n", + "Setting Base file name to: `\"/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_z5vjkful/SimID_129924409_0_\"`\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Simulation Complete in Main() ... \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "initializing mesh\n", + "numVolume=367236\n", + "\n", + "CartesianMesh::computeNormalsFromNeighbors(), compute normals from neighbors\n", + "Membrane Elements -> N=16791\n", + "==============================================\n", + "qhull precision warning: \n", + "572 has 0 neighbors !\n", + "qhull precision error: initial simplex is not convex. Distance=-4.2e-16\n", + "2246 has 0 neighbors !\n", + "4422 has 0 neighbors !\n", + "13393 has 0 neighbors !\n", + "--------Num of points that have zero neighbors 4\n", + "--------Num Neighbors before symmetrize 99581\n", + "--------Num Neighbors after symmetrize 108440\n", + "Total volume=6049.231566\n", + "Total FluxArea =39.83851721\n", + "Total FluxAreaXM =0\n", + "Total FluxAreaXP =0\n", + "Total FluxAreaYM =24.25749724\n", + "Total FluxAreaYP =15.58101996\n", + "Total FluxAreaZM =0\n", + "Total FluxAreaZP =0\n", + "mesh initialized\n", + "preprocessing finished\n", + "pdeCount=4, odeCount=0\n", + "No log-file found at constructed path `/Users/jimschaff/Documents/workspace/pyvcell/examples/notebooks/workspace/out_dir_z5vjkful/SimID_129924409_0_.log`.simulation [SimID_129924409_0_] started\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0000.sim\n", + "[[[data:0]]]\n", + "numVolRegions=4\n", + "Region 0: size=321351, offset=0\n", + "Region 1: size=36741, offset=321351\n", + "Region 2: size=9143, offset=358092\n", + "Region 3: size=1, offset=367235\n", + "# of active points = 367236\n", + "Constant diffusion/advection in region cytosol1\n", + "Constant diffusion/advection in region Nucleus2\n", + "Constant diffusion/advection in region cytosol3\n", + "numUnknowns = 119369\n", + "\n", + "****** using Sundials CVode with PREC_LEFT, relTol=1e-07, absTol=1e-09, maxStep=0.1\n", + "\n", + "----------------------------------\n", + "sundials pde solver is starting from time 0\n", + "----------------------------------\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0001.sim\n", + "[[[data:0.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is 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/var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0071.sim\n", + "[[[data:7.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0072.sim\n", + "[[[data:7.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0073.sim\n", + "[[[data:7.3]]]SimTool.start1() sending JOB_PROGRESS to SimulationMessaging: percentile=0.73, time=7.3\n", + "[[[progress:73%]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0074.sim\n", + "[[[data:7.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0075.sim\n", + "[[[data:7.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0076.sim\n", + "[[[data:7.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0077.sim\n", + "[[[data:7.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0078.sim\n", + "[[[data:7.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0079.sim\n", + "[[[data:7.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0080.sim\n", + "[[[data:8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0081.sim\n", + "[[[data:8.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0082.sim\n", + "[[[data:8.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0083.sim\n", + "[[[data:8.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0084.sim\n", + "[[[data:8.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0085.sim\n", + "[[[data:8.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0086.sim\n", + "[[[data:8.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0087.sim\n", + "[[[data:8.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0088.sim\n", + "[[[data:8.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0089.sim\n", + "[[[data:8.9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0090.sim\n", + "[[[data:9]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0091.sim\n", + "[[[data:9.1]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0092.sim\n", + "[[[data:9.2]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0093.sim\n", + "[[[data:9.3]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0094.sim\n", + "[[[data:9.4]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0095.sim\n", + "[[[data:9.5]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0096.sim\n", + "[[[data:9.6]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0097.sim\n", + "[[[data:9.7]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0098.sim\n", + "[[[data:9.8]]]temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0099.sim\n", + "[[[data:9.9]]]\n", + "Final Statistics.. \n", + "\n", + "lenrw = 1193779 leniw = 50\n", + "lenrwLS = 1193736 leniwLS = 10\n", + "nst = 179\n", + "nfe = 192 nfeLS = 264\n", + "nni = 188 nli = 264\n", + "nsetups = 59 netf = 0\n", + "npe = 4 nps = 434\n", + "ncfn = 0 ncfl = 0\n", + "last step = 0.100000\n", + "\n", + "temporary directory used is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/\n", + "sim file name is /var/folders/zz/gcfcvgtd5v1cdgj2sw4bjzdr0000gr/T/SimID_129924409_0_0100.sim\n", + "[[[data:10]]][[[progress:100%]]]" + ] + } + ], + "source": [ + "# run N=10 simulations with random r0.Kf parameter value and collect mean concentrations\n", + "N=10\n", + "import random\n", + "import numpy as np\n", + "\n", + "sim_name = biomodel.applications[0].simulations[0].name\n", + "r0_Kf_values = np.random.lognormal(mean=0, sigma=1.0, size=N)\n", + "all_results = []\n", + "for val in r0_Kf_values:\n", + " model.set_parameter_value(\"r0.Kf\", val)\n", + " print(f\"running sim with r0.Kf={val}\")\n", + " all_results.append(vc.simulate(biomodel, sim_name))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "0968f2e9-4ae4-4f4d-871e-3610219a8d8e", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "r0.Kf=1.595466965370271\n" + ] + }, + { + "data": { + "image/png": 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for i in range(N):\n", + " val = r0_Kf_values[i]\n", + " result = all_results[i]\n", + " print(f\"r0.Kf={val}\")\n", + " result.plotter.plot_concentrations()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyproject.toml b/pyproject.toml index 5b43ed3..5e1821c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "pyvcell" -version = "0.1.15" +version = "0.1.16" description = "This is the python wrapper for vcell modeling and simulation" authors = ["Jim Schaff "] repository = "https://github.com/virtualcell/pyvcell" diff --git a/pyvcell/vcml/models.py b/pyvcell/vcml/models.py index 5f18f99..f84d58e 100644 --- a/pyvcell/vcml/models.py +++ b/pyvcell/vcml/models.py @@ -111,15 +111,34 @@ def get_reaction(self, name: str) -> Reaction: def parameter_names(self) -> list[str]: return [mp.name for mp in self.model_parameters] - def get_model_parameter(self, name: str) -> ModelParameter: + def get_parameter(self, name: str) -> ModelParameter | KineticsParameter: + if "." in name: + reaction_name, param_name = name.split(".") + for reaction in self.reactions: + if reaction.name == reaction_name and reaction.kinetics: + for kinetics_param in reaction.kinetics.kinetics_parameters: + if kinetics_param.name == param_name: + return kinetics_param for model_parameter in self.model_parameters: if model_parameter.name == name: return model_parameter - raise ValueError(f"Model parameter '{name}' not found in model.") + raise ValueError(f"Parameter '{name}' not found in model.") @property def parameter_values(self) -> dict[str, float | str]: - return {mp.name: mp.value for mp in self.model_parameters} + model_params = {mp.name: mp.value for mp in self.model_parameters} + kin_params = { + f"{r.name}.{p.name}": p.value + for r in self.reactions + if r.kinetics + for p in r.kinetics.kinetics_parameters + if r.kinetics.kinetics_parameters + } + return {**model_params, **kin_params} + + def set_parameter_value(self, name: str, value: float | str) -> None: + param = self.get_parameter(name=name) + param.value = value def add_compartment(self, name: str, dim: int) -> Compartment: compartment = Compartment(name=name, dim=dim) @@ -344,6 +363,9 @@ class Application(VcmlNode): reaction_mappings: list[ReactionMapping] = Field(default_factory=list) simulations: list[Simulation] = Field(default_factory=list) + def __repr__(self) -> str: + return f"Application(name={self.name}, geometry={self.geometry}, sims={self.simulation_names})" + def map_species(self, species: Species | str, init_conc: float | str, diff_coef: float) -> SpeciesMapping: species_name = species.name if isinstance(species, Species) else species species_mapping = SpeciesMapping( @@ -371,6 +393,10 @@ def map_reaction(self, reaction: Reaction | str, enabled: bool) -> ReactionMappi self.reaction_mappings.append(reaction_mapping) return reaction_mapping + @property + def simulation_names(self) -> list[str]: + return [sim.name for sim in self.simulations] + def add_sim( self, name: str, duration: float, output_time_step: float, mesh_size: tuple[int, int, int] ) -> Simulation: @@ -384,11 +410,22 @@ class Biomodel(VcmlNode): model: Model | None = None applications: list[Application] = Field(default_factory=list) + def __repr__(self) -> str: + return f"Biomodel(model={self.model.__repr__()}, applications={self.application_names}, simulations={self.simulation_names})" + + @property + def application_names(self) -> list[str]: + return [app.name for app in self.applications] + def add_application(self, name: str, geometry: Geometry) -> Application: application = Application(name=name, stochastic=False, geometry=geometry) self.applications.append(application) return application + @property + def simulation_names(self) -> list[str]: + return [sim.name for app in self.applications for sim in app.simulations] + class VCMLDocument(VcmlNode): biomodel: Biomodel | None = None diff --git a/scripts/run_notebook.sh b/scripts/run_notebook.sh index 34cf493..b30857e 100755 --- a/scripts/run_notebook.sh +++ b/scripts/run_notebook.sh @@ -8,6 +8,7 @@ cd ${ROOT_DIR} || (echo "Failed to cd into ${ROOT_DIR}" && exit 1) python -m venv .venv_jupyter source .venv_jupyter/bin/activate -pip install jupyter ipython +pip install -U pip +pip install trame trame-vtk trame-vuetify jupyterlab trame-jupyter-extension copasi-basico poetry install -jupyter notebook +jupyter lab