aoc2025/bram/benchmarks/Benchmarks.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "07ee141c-4587-4f89-a70c-97094df947b1",
   "metadata": {},
   "source": [
    "# Benchmark visualizer\n",
    "\n",
    "This notebook compares everyone's code performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "bfb56e64-f4b1-4a99-8edf-4ae530ded1ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.ticker as mticker\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "import compare\n",
    "\n",
    "def get_day(n : int) -> pd.DataFrame:\n",
    "    return pd.DataFrame(compare.generate_day(n))\n",
    "\n",
    "def plot_day(day: int, log_scale=False, violin=False):\n",
    "    df = get_day(day)\n",
    "\n",
    "    # unit detection\n",
    "    if df[\"time\"].max() < 1:\n",
    "        unit = \"ms\"\n",
    "        scale = 1000\n",
    "    else:\n",
    "        unit = \"s\"\n",
    "        scale = 1\n",
    "\n",
    "    # mutate in-place; nothing outside depends on it\n",
    "    df[\"time_plot\"] = df[\"time\"] * scale\n",
    "    df[\"author_lang\"] = df[\"author\"].str.capitalize() + \" in \" + df[\"lang\"]\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(13, 8))\n",
    "\n",
    "    plot_func = sns.violinplot if violin else sns.boxplot\n",
    "    plot_func(\n",
    "        data=df,\n",
    "        x=\"part\",\n",
    "        y=\"time_plot\",\n",
    "        hue=\"author_lang\",\n",
    "        ax=ax\n",
    "    )\n",
    "\n",
    "    if log_scale:\n",
    "        ax.set_yscale(\"log\")\n",
    "        ax.yaxis.set_major_locator(mticker.LogLocator(base=10, numticks=50))\n",
    "        ax.yaxis.set_minor_locator(mticker.LogLocator(base=10, subs=range(1, 10)))\n",
    "\n",
    "        for y in ax.get_yticks(minor=True):\n",
    "            if y > 0 and ax.get_ylim()[0] <= y <= ax.get_ylim()[1]:\n",
    "                ax.axhline(y, linestyle=\"--\", linewidth=0.4, color=\"gray\")\n",
    "    else:\n",
    "        ax.set_ylim(bottom=0)\n",
    "    \n",
    "        # double the density: add minor ticks at midpoints\n",
    "        ax.yaxis.set_minor_locator(mticker.AutoMinorLocator(2))\n",
    "    \n",
    "        # draw major + minor lines\n",
    "        for y in ax.get_yticks():\n",
    "            ax.axhline(y, linestyle=\"--\", linewidth=0.6, color=\"gray\")\n",
    "        for y in ax.get_yticks(minor=True):\n",
    "            ax.axhline(y, linestyle=\"--\", linewidth=0.4, color=\"gray\")\n",
    "\n",
    "    ax.set_xlabel(\"Puzzle Part\")\n",
    "    ax.set_ylabel(f\"Execution Time ({unit})\")\n",
    "    ax.set_title(f\"Advent of Code benchmarks day {day}\")\n",
    "\n",
    "    ax.legend(title=\"Made by\")\n",
    "    plt.tight_layout()\n",
    "    plt.savefig(f\"img/day{day}.png\")\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "212261b5-9a1b-4843-ac32-9f56f604cddb",
   "metadata": {},
   "source": [
    "## Day 1\n",
    "\n",
    "This puzzle incorporated a dial and counting the number of clicks on each dial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "25a30802-1525-4d6b-8978-27aaf4d3843d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1300x800 with 1 Axes>"
      ]
     },
     "metadata": {},
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    }
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   "source": [
    "plot_day(1, log_scale=False, violin=True)"
   ]
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   "id": "8452ddb0-f6d3-4a9b-aa2a-e27c12cc1c11",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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