paper_note/lynx/or_tools.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import random\n",
    "\n",
    "plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
    "plt.rcParams[\"font.size\"] = 16\n",
    "\n",
    "g_label_fontsize = 16\n",
    "\n",
    "colors = [\n",
    "    \"#233142\",\n",
    "    \"#F95959\",\n",
    "]\n",
    "\n",
    "edgecolors = [\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "]\n",
    "\n",
    "hatches = [\"\", \"\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2100x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(7, 14 / 6), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name_a = [\n",
    "    \"ModelA\\n8DP\",\n",
    "    \"ModelA\\n8TP\",\n",
    "    \"ModelA\\n2DP$\\\\times$4TP\",\n",
    "    \"ModelA\\n2DP$\\\\times$8TP\",\n",
    "    \"ModelA\\n4DP$\\\\times$2TP\",\n",
    "    \"ModelB\\n8TP\",\n",
    "    \"ModelB\\n4DP$\\\\times$2TP\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MFU\n",
    "data_a = {\n",
    "    labels_name_a[0]: [39.3, 44.4],  # modela 8DP\n",
    "    labels_name_a[1]: [39.3, 43.6],  # modela 8TP\n",
    "    labels_name_a[2]: [33.8, 44.6],  # modela 2DP 4TP\n",
    "    labels_name_a[3]: [38.0, 42.6],  # modela 2DP 8TP\n",
    "    labels_name_a[4]: [36.9, 44.7],  # modela 4DP 2TP\n",
    "    labels_name_a[5]: [43.4, 49.4],  # modelb 8TP\n",
    "    labels_name_a[6]: [37.6, 38.0],  # modelb 4DP 2TP\n",
    "}\n",
    "\n",
    "data_b = [\n",
    "    612,\n",
    "    623,\n",
    "    617,\n",
    "    628,\n",
    "    614,\n",
    "    713,\n",
    "    716,\n",
    "]\n",
    "data_c = [\n",
    "    212,\n",
    "    227,\n",
    "    223,\n",
    "    217,\n",
    "    214,\n",
    "    266,\n",
    "    262,\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\"ILP\", \"Lynx\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "bar_width = 0.2\n",
    "group_spaing = 0.15\n",
    "\n",
    "group_positions = {}\n",
    "current_pos = 0\n",
    "\n",
    "x_label_cnt = len(data_a.keys())\n",
    "x_label_group_cnt = 2\n",
    "\n",
    "for idx in range(x_label_cnt):\n",
    "    group_positions[idx] = []\n",
    "    for _ in range(x_label_group_cnt):\n",
    "        group_positions[idx].append(current_pos)\n",
    "        current_pos += bar_width\n",
    "    current_pos += group_spaing\n",
    "\n",
    "group_centers = {}\n",
    "for idx, positions in group_positions.items():\n",
    "    group_centers[idx] = sum(positions) / len(positions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Time (s)')"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_set = set()\n",
    "for idx, (x_label, y_data) in enumerate(data_a.items()):\n",
    "    positions = group_positions[idx]\n",
    "\n",
    "    for i, (pos, value, color, edgecolor, hatch, label) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "            legend_labels,\n",
    "        )\n",
    "    ):\n",
    "        if label in label_set:\n",
    "            local_label = None\n",
    "        else:\n",
    "            local_label = label\n",
    "            label_set.add(local_label)\n",
    "\n",
    "        ax.bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            label=local_label,\n",
    "            hatch=hatch,\n",
    "            edgecolor=edgecolor,\n",
    "        )\n",
    "\n",
    "ax.set_xticks(list(group_centers.values()))\n",
    "ax.set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax.set_ylim(0, 100)\n",
    "ax.set_yticks([0, 50, 100])\n",
    "ax.set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax.tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize - 4, pad=1)\n",
    "ax.tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "ax.set_ylabel(\"MFU (%)\", fontsize=g_label_fontsize)\n",
    "\n",
    "ax2 = ax.twinx()\n",
    "ax2.plot(list(group_centers.values()), data_b, \"^--\", color=colors[0])\n",
    "ax2.plot(list(group_centers.values()), data_c, \"v--\", color=colors[1])\n",
    "ax2.set_ylim(0, 805)\n",
    "ax2.set_yticks([0, 200, 400, 600, 800])\n",
    "ax2.set_yticklabels([\"0\", \"200\", \"400\", \"600\", \"800\"], rotation=90, va=\"center\")\n",
    "ax2.tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize)\n",
    "ax2.set_ylabel(\"Time (s)\", fontsize=g_label_fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fce1b2b80b0>"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.legend(\n",
    "    ncol=3,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    bbox_to_anchor=(0.5, 0.98),\n",
    "    fontsize=g_label_fontsize,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2100x700 with 2 Axes>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.savefig(\"or_tool.pdf\", bbox_inches=\"tight\", dpi=1000)\n",
    "fig"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".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": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}