138 lines
3.0 KiB
Plaintext
138 lines
3.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"\n",
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"# The following imports NEED to be in the exact order\n",
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"from SimCAD.engine import ExecutionMode, ExecutionContext, Executor\n",
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"from simulations.validation import config1, config2\n",
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"from SimCAD import configs\n",
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"\n",
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"exec_mode = ExecutionMode()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"Simulation Execution 1\")\n",
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"print()\n",
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"first_config = [configs[0]] # from config1\n",
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"single_proc_ctx = ExecutionContext(context=exec_mode.single_proc)\n",
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"run1 = Executor(exec_context=single_proc_ctx, configs=first_config)\n",
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"run1_raw_result, raw_tensor_field = run1.main()\n",
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"result = pd.DataFrame(run1_raw_result)\n",
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"tensor_field = pd.DataFrame(raw_tensor_field)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"Tensor Field:\")\n",
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"tensor_field"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"Output:\")\n",
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"result"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"Simulation Execution 2: Pairwise Execution\")\n",
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"print()\n",
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"multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)\n",
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"run2 = Executor(exec_context=multi_proc_ctx, configs=configs)\n",
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"results = []\n",
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"tensor_fields = []\n",
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"for raw_result, raw_tensor_field in run2.main():\n",
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" results.append(pd.DataFrame(raw_result))\n",
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" tensor_fields.append(pd.DataFrame(raw_tensor_field))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"print(\"Tensor Field A:\")\n",
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"tensor_fields[0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"Output A:\")\n",
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"results[0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"Tensor Field B:\")\n",
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"tensor_fields[1]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"Output B:\")\n",
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"results[1]"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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