Statistics/ResourceResults.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Resource Results**\n",
    "---\n",
    "Results about resource consumption. Choose a metric (`mem` to memory consumption and `time` to time consumption):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "metric=\"time\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 🏁 **Libraries and Dependencies**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip -q install pandas\n",
    "%pip -q install matplotlib\n",
    "%pip -q install numpy\n",
    "%pip -q install pyyaml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import display\n",
    "from Utils import GameInfo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 🎮 **Game 0**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 396x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, game0 = GameInfo.GetGame0Chart(metric)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.10 ('.venv': venv)",
   "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": "3.8.10"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "fab895a691a67be7cf070a2498343fcb8c812baeb57f463f870d34aca5776c83"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}