{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from tabulate import tabulate\n",
    "\n",
    "# The following imports NEED to be in the exact order\n",
    "from cadCAD.engine import ExecutionMode, ExecutionContext, Executor\n",
    "from validation import config1, config2, config3\n",
    "from cadCAD import configs\n",
    "\n",
    "exec_mode = ExecutionMode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "config[0]\n",
      "single_proc: [<cadCAD.configuration.Configuration object at 0x10a61b8d0>]\n",
      "   run      s1         s2 s3                             s4  substep  timestep\n",
      "0    1       0          0  1                              1        0         0\n",
      "1    1       1          4  5  1.178862847343031816649272514        1         1\n",
      "2    1      ab          6  5  1.178862847343031816649272514        2         1\n",
      "3    1  [c, d]  [30, 300]  5  1.178862847343031816649272514        3         1\n",
      "4    1       1          4  5  1.230321371869816411424320371        1         2\n",
      "\n",
      "config[1]\n",
      "single_proc: [<cadCAD.configuration.Configuration object at 0x10a61be48>]\n",
      "   run      s1         s2                              s3  \\\n",
      "0    1       0          0                               1   \n",
      "1    1       1          0  0.9583242152594528828757347583   \n",
      "2    1       a          0  0.9583242152594528828757347583   \n",
      "3    1  [c, d]  [30, 300]  0.9583242152594528828757347583   \n",
      "4    1       1  [30, 300]  0.9529320289547716885340867310   \n",
      "\n",
      "                              s4  substep  timestep  \n",
      "0                              1        0         0  \n",
      "1  1.178862847343031816649272514        1         1  \n",
      "2  1.178862847343031816649272514        2         1  \n",
      "3  1.178862847343031816649272514        3         1  \n",
      "4  1.230321371869816411424320371        1         2  \n",
      "\n",
      "config[2]\n",
      "single_proc: [<cadCAD.configuration.Configuration object at 0x10a6282b0>]\n",
      "   run   s1 s2 s3 s4  substep            timestamp  timestep\n",
      "0    1    0  0  1  1        0  2018-10-01 15:16:24         0\n",
      "1    1  [1]  0  1  1        1  2018-10-01 15:16:24         1\n",
      "2    1  [1]  0  1  1        1  2018-10-01 15:16:24         2\n",
      "3    1  [1]  0  1  1        1  2018-10-01 15:16:24         3\n",
      "4    1  [1]  0  1  1        1  2018-10-01 15:16:24         4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/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",
      "  FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "for idx, c in enumerate(configs):\n",
    "    print()\n",
    "    print(f\"config[{idx}]\")\n",
    "    single_proc_ctx = ExecutionContext(context=exec_mode.single_proc)\n",
    "    run1 = Executor(exec_context=single_proc_ctx, configs=[c])\n",
    "    run1_raw_result, raw_tensor_field = run1.main()\n",
    "    result = pd.DataFrame(run1_raw_result)\n",
    "    print(result.head())\n",
    "#     tensor_field = pd.DataFrame(raw_tensor_field)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "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"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/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",
      "  FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "from validation import sweep_config\n",
    "multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)\n",
    "run2 = Executor(exec_context=multi_proc_ctx, configs=configs)\n",
    "results = []\n",
    "tensor_fields = []\n",
    "for raw_result, raw_tensor_field in run2.main():\n",
    "    results.append(pd.DataFrame(raw_result))\n",
    "    tensor_fields.append(pd.DataFrame(raw_tensor_field))\n",
    "\n",
    "for idx, r in enumerate(results):\n",
    "    print()\n",
    "    print(f\"result[{idx}]\")\n",
    "    print(r.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "print(\"Tensor Field A:\")\n",
    "tensor_fields[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"Output A:\")\n",
    "results[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"Tensor Field B:\")\n",
    "tensor_fields[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"Output B:\")\n",
    "results[1]"
   ]
  }
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