187 lines
6.0 KiB
Plaintext
187 lines
6.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"from tabulate import tabulate\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 cadCAD.engine import ExecutionMode, ExecutionContext, Executor\n",
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"from validation import config1, config2, config3\n",
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"from cadCAD 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": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"config[0]\n",
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"single_proc: [<cadCAD.configuration.Configuration object at 0x10a61b8d0>]\n",
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" run s1 s2 s3 s4 substep timestep\n",
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"0 1 0 0 1 1 0 0\n",
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"1 1 1 4 5 1.178862847343031816649272514 1 1\n",
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"2 1 ab 6 5 1.178862847343031816649272514 2 1\n",
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"3 1 [c, d] [30, 300] 5 1.178862847343031816649272514 3 1\n",
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"4 1 1 4 5 1.230321371869816411424320371 1 2\n",
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"\n",
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"config[1]\n",
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"single_proc: [<cadCAD.configuration.Configuration object at 0x10a61be48>]\n",
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" run s1 s2 s3 \\\n",
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"0 1 0 0 1 \n",
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"1 1 1 0 0.9583242152594528828757347583 \n",
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"2 1 a 0 0.9583242152594528828757347583 \n",
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"3 1 [c, d] [30, 300] 0.9583242152594528828757347583 \n",
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"4 1 1 [30, 300] 0.9529320289547716885340867310 \n",
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"\n",
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" s4 substep timestep \n",
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"0 1 0 0 \n",
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"1 1.178862847343031816649272514 1 1 \n",
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"2 1.178862847343031816649272514 2 1 \n",
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"3 1.178862847343031816649272514 3 1 \n",
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"4 1.230321371869816411424320371 1 2 \n",
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"\n",
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"config[2]\n",
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"single_proc: [<cadCAD.configuration.Configuration object at 0x10a6282b0>]\n",
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" run s1 s2 s3 s4 substep timestamp timestep\n",
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"0 1 0 0 1 1 0 2018-10-01 15:16:24 0\n",
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"1 1 [1] 0 1 1 1 2018-10-01 15:16:24 1\n",
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"2 1 [1] 0 1 1 1 2018-10-01 15:16:24 2\n",
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"3 1 [1] 0 1 1 1 2018-10-01 15:16:24 3\n",
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"4 1 [1] 0 1 1 1 2018-10-01 15:16:24 4\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/markusbkoch/Documents/GitHub/DiffyQ-SimCAD/cadCAD/utils/__init__.py:86: FutureWarning: The use of a dictionary to describe Partial State Update Blocks will be deprecated. Use a list instead.\n",
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" FutureWarning)\n"
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]
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}
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],
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"source": [
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"for idx, c in enumerate(configs):\n",
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" print()\n",
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" print(f\"config[{idx}]\")\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=[c])\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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" print(result.head())\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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"multi_proc: [<cadCAD.configuration.Configuration object at 0x10a61b8d0>, <cadCAD.configuration.Configuration object at 0x10a61be48>, <cadCAD.configuration.Configuration object at 0x10a6282b0>, <cadCAD.configuration.Configuration object at 0x10a637c88>, <cadCAD.configuration.Configuration object at 0x10a637cc0>]\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/markusbkoch/Documents/GitHub/DiffyQ-SimCAD/cadCAD/utils/__init__.py:86: FutureWarning: The use of a dictionary to describe Partial State Update Blocks will be deprecated. Use a list instead.\n",
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" FutureWarning)\n"
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]
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}
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],
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"source": [
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"from validation import sweep_config\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))\n",
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"\n",
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"for idx, r in enumerate(results):\n",
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" print()\n",
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" print(f\"result[{idx}]\")\n",
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" print(r.head())"
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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 3",
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"language": "python",
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"name": "python3"
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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": 3
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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": "ipython3",
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"version": "3.6.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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