{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0158a96f-3c6d-48fa-9ae0-22a438a214e6",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## loading time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a2b172a3-c10d-4493-a136-d5b7ed03803c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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np3hvbrTRRrNN32KLLSp/P/7442tdL67VuJ/2O++88528LzfeeOP8s+o6jz76aP4Z99XeZJNN0rRp06q9V0rzS+s2hVNOOWW2aW3atElbb731bO+TxrLeeutVbr+qHXfcMd9Hu+Z5eeONN9ILL7yQfz/vvPNSy5Zz99/O+j7/Sp+vv/rVr2qdH/fr/tGPflTv5+vcfG7GfdBDfH988803qbEs6Nd8HKswduzYeT7GjWWHHXao9fO7dA4///zzBm+rqd5nDRHfYQ899FDadttt8/MxY8ak22+/Pe9LfH526dIlHXjggem9996b59c66qij8vsq3o/xPRd1ldxwww3R6ij9+Mc/Tj169Kj33zIjRozIn7EAAAA0HiE+ANAsxB+jwz777DPbvNK0G2+8sdr0du3apV122SX/ftttt1Wb99FHH1UGKjVD/NL0CNsiXKztUWo48PHHH9e6vxE6zsljjz2W/7i+/PLL532NMK30GD9+/GyhxSuvvJJ/RhhaWxAdagtYq9YUgc1SSy1VZ12PP/54vXU1hlI4uO6669bZSGLzzTev3N84V1V9/fXX6Te/+U3acMMNU9euXVOrVq0qj9vRRx9da9jz0ksv5Z8R3NZlXoLb1VZbLYdwtVl66aXzz9I5nddzOT+tvvrqtU5fcsklK+uJ93NNEQJ369ZttuPQlO/L0rkuBfNVf495c5rfFCKs/973vtfg90ljWXPNNWudvuiii1aeu6qv+/TTT+efffr0Sauuuupcv15dn39x/krhb1zjdZ3vaDhQWn5ePzej0VcsG9M22GCD9Mc//jGNHDkyzauF+Zqf22M8NyJUju/qCOwjeI7QubTt73//+7VuOxqExHs1GvP98Ic/zGF1BON1aYz32byKhhz3339/evXVV9OZZ56Ztttuu9S9e/c8LxqTxL9posFHhP3luuKKK9JVV12VP1fimERNVZU+X//whz/UeQzWWWedvMyUKVPqPaYAAADMvVZlrAMAsED58ssvc+/tCAL32muv2eZvtdVWOYh6//33c9gX4W7VgP/mm2/OPbp///vfV4Yu0Qs/woTooVqzB3YpQGhID8X4w3dtSn+sr8s555yTTj755MrnEVAsscQS+WcYPXp0mjVrVpo8eXLlMl999VXltusKj2r+Eb9mTdHjNo7nnDRmj9WaSnWUgq7a9O3bt/L3OBYRJoYIZiJgjXNd0qFDh9zzMUKgOB8TJ06sdtyqvmaERnWpb96c1LduhHbh22+/bZRzOT9F0F6bUg3R2zPOQ33LVD0OTfm+LAXxEUjGtR77FSNyRK/eCM9KjQpKwf2HH36YG4xEqNiQRjjliHNaV6/22t4njWVu35/RazyUrru5VdfnX9VwtpzzXc7nZjTyuemmm3LDqwjSDzvssMr38jbbbJMOPvjgshptLMjXfFwPpTA+jt+8HuOGiuMR5+G+++6rnBaf3dG7P66L6Akex6nmtldcccV02WWXpZ///Ofpb3/7W36EVVZZJY8mEaPmVG08NK/vs8Zu+FS18dNbb72VA/z//d//zQ3S4t8o0agkGkvMjfhc+8UvfpF/v/LKK/O/ZWoqHYcYhSIe8/M4AAAANEd64gMAC71bbrklzZgxIwcHEfxW7RUYjwhpSqFTqcd+SQxnG0PXRvBQdcjc0lD6tfXsj9cJDzzwQA475vSoTV0hTYieeaeeemr+/Wc/+1l6++2309SpU3MvuC+++CI/SgFRXdufW6WaooFDQ2oaOnRoamoxlPnciuGmI8Dv3bt3uueee3JgH48IauK4RTDSmMeNptWU78s11lgjh4Pjxo3L19ybb76ZPweit3MEhhFQR2OR6K0a4WIpzI+eqaUQlvLU9flXOt8hjvmczncM8d0Yn5sRcMatG+L7IW7bEOc+As4Ycj1urRDba07iWJQ+f6s2Ymvq76YYBSEC/GgQEKF8nIMIjuP7O7Zdcxj9qn7yk5/kz/74jI9b5cT3elzT559/fg7zo6FGY7zPmtrKK6+cG0pce+21+XnUHj3250bcziBuBRC1RcOGwYMH17pc6ThEb/2GfL4uu+yyjVAhAAAAJUJ8AGChVzOYr0/cd7ZqOBxhwe67714tuP/Pf/6TXnzxxRzk7bnnnrNto3Tv2JrDuDeWGPY2/rge4VEEGTG8dtXeudEbsbZhbUs9hyOIrOvetRGE1Kapayqnl259+xK9omsuH721Sz0w4z2x88475174VZUac9R17OobAvqzzz5L35V5OZcLk6Z8X8Y1VRqV45FHHql1qPz4PULE5557rsmH0l8Qz0vV67Axt1vOOS/3c7Mkejrvv//+eSj3qCt6RB9xxBGVw5L/85//TM3lmq9aa9Uh/Of1GM9JjIgTTjrppNxIoObIA3V9fpfE6Alxy5T4Hoge+3HNxnD5EWZHb/zSaAfz8j77rsSoQjEKQXjnnXcavF40qthtt91yw7Wo/YILLqhz2SJ97wMAADRHQnwAYKH2+uuvVwbu0XswetXW9Yh70MYQwffee2+1bZTueT9s2LAcBJfC/AgqahsevDSU9j/+8Y8mqal0r97SvWhrivtR1zZMf+m+1vFH/NJ95Wsq3Tu8rpri3r9xTOen0n2Po9dnXbcsePjhh/PPuOd9aUjvCGhKDTTqOnal9ep6zar3P69teOLvyrycy4VJU78vq973PobSL1339c2f2xC/FHIuTKM/VD0vb7zxRqNtN3p9l4LFuf18Lfdzsy4rrbRSuvzyyytD7Gjo0Ryu+ThGF198ceXnYvQMb4xj3JDrYE7br+vzu67X23jjjXOgH/eEj6HpS8d1Xt5npW039TUdr1EK8eMWHg0VjRWeffbZPIpINFqMkYjq0tT/lgEAAKB+QnwAoFn0wo8etXHP2xgeu67HoEGDqq1Tstlmm+UefxHwx7C1t912W51D6YfS0LQR+tcX+oZoPDC34p7cIYYqril6QdY1ZPiSSy5Z+Uf52nrfRS/JUjhTUww3XLpn7jHHHFNnT9Bya5obcR/q6EEfPaAvueSS2eZHSFQaFr80ikKIdUr3W6/t2EUI++CDD9b6mnEf5hDzo1FITdEDNYZq/q7My7lcmDT1+7IUyMd7I67l6I299tprzzY/egjHe6pq7/25vZ5L9xhfGESwWwpajz322GrDk8+rAw88MP+MIcXr63kdt1CJYHZePzej4VZ9SkFqhOsL+zUfNcb3WzSICzWPWbnHuKHXQX3bj0Zav//97+f6HEYAXrp9Q9VzWO77rKG11CdC9jndgz5GQyg1Yuvfv3+Dthvvj7gFRHyO3XXXXZWjO9QljkF8Z8ZII1VvNzA/vvcBAACaIyE+ALDQitCg9IfnGD52TkrLRK+zqkP+xh/499hjj/x7hBDRs7TqMPs1bb/99rlBQIQqO+ywQw4Wqv6BO4axveWWW3LjgHJCly233DL/jBEDIqwu9S7/4IMP8vD+ETa2b9++1nVPPvnk/DMaIkToWQoKYpj4uNdz3CqgLhGYR+ARDRm222679Mwzz1T2NIzhiJ9//vl0wgknpOWWWy6VK4KY+h4Rxiy++OL5dcJZZ52VLrroosrene+991764Q9/mIf/jWNQWq4U4g8cOLDy/silntux7zG6wi677JLvk1ybGHY4etzGeyrObekeyPH8r3/9azr44INTp06d0ndpXs7lwqQp35cR2EfgFdds9Cr/wQ9+kK/9khguPBr4RMhVCtNKAV5Drbbaavln7H99t2tY0MRnU3x2/v3vf8/X1iuvvFI5Lz4P//SnP+X7cc+tOJfRUzpuXxHn4+677652C5QImOMzIRp4lM7LvHxuxv7H61x99dX5PVAyadKkdN5551U2/Nl2223TwnrNRwOlK6+8Mg0YMCD33i6dh/isbazvptJ1ECOa1DU8fGn7Z599dr5eSo1DnnzyybTFFlvUGdbH8Pvx+vfcc0+1YD3O50EHHZQbhMV1XvXWAOW+z6rWEt/z5TTuiPMb95c/6qij8ugCkydPrnbLhN/97neVt/JZY401qo0OUpdoiBTvmXDNNdfkczknq666auU1Go03zjjjjGq3bIjrOI5LXN9DhgyZ6zoBAACYgwoAgIXUAw88EElefnz44YdzXH7GjBkV3bp1y8tfeuml1eY98cQTlduKx4477ljvtiZNmlSx0047VS7fokWLii5dulQsvvji1bYzdOjQausdeOCBefrpp59e57ZnzZpVsf3221duo2XLlhWdO3eu/P0Pf/hDRd++ffPzhx9+eLb1jz766Mp1F1lkkbxfsX+tWrWquOOOOyrnffbZZ7Ot+7e//a2iQ4cOlcu0bdu2YokllsjbqVrX3Lj22murrVvfY9iwYZXnap999qmcHvteOgbxaNOmTcU999wz22s9+uijFa1bt65cLs5H6flqq61WcdFFF+XfN91009nW/eCDDyqWWWaZautG/fH7wIEDK0444YT8e5zDmkrrjBw5str0OM91rVMS+xLLxHFqzHPZULHPpe3U9n6qbbma5vS+ju3G/Hjf1qW+93RTvC9Ltthii8r1f/3rX882f4899qic/4tf/GKuj83o0aPzvpau3549e+Zaqx6LhhyfhryX6luvtm035POovvNy4403Vrve2rdvn9+jpec1r7OGvF54++23K773ve9Vu/67du2ar/uq53vEiBHz/LkZnzlVt9muXbtqnzXxOOywwxb4a75Ue5yjHj165Ed8H8Z2q9Ya06677rpG/26aPn16xfLLL1/5fdm9e/fK6+Djjz/Oy4waNaqid+/e1T7nY3/j906dOlX85S9/qfU6i+uyag2xbGm90nH885//3CjvszB8+PDKefH+j++NqGOvvfZq0LkofZfU3OfS903pseKKK1a8++67dZ7Lqse49L6L81A6v7U91llnnWrb+vbbbysOPfTQaq8b57Rjx47Vpg0ePLhBtQEAANBweuIDAAutP//5z5W9aUv3Ra9P9Bot9SysOaT+BhtskHvGley99971bit6i8e9dmP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      "text/plain": [
       "<Figure size 2500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.patches import Patch\n",
    "\n",
    "datasets = [\"200 M\", \"1 B\"]\n",
    "\n",
    "x = np.arange(len(datasets))\n",
    "\n",
    "data = {\n",
    "    \"Celldega\":   [14.33, 17],\n",
    "    \"Allen Institute Spatial Explorer\": [3.67, 8],\n",
    "\n",
    "}\n",
    "\n",
    "WONG_COLORS = [\n",
    "    \"#2E6CB1\",  # custom blue\n",
    "    \"#E69F00\",  # orange\n",
    "]\n",
    "\n",
    "tools = list(data.keys())\n",
    "n_tools = len(tools)\n",
    "bar_width = 0.13\n",
    "offsets = (np.arange(n_tools) - (n_tools - 1) / 2) * bar_width\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(25, 15))\n",
    "bar_positions = {}\n",
    "nan_positions = {}\n",
    "\n",
    "for i, tool in enumerate(tools):\n",
    "    y_values = np.array(data[tool], dtype=float)\n",
    "    valid = ~np.isnan(y_values)\n",
    "    nan_mask = np.isnan(y_values)\n",
    "\n",
    "    positions = x[valid] + offsets[i]\n",
    "    values = y_values[valid]\n",
    "    valid_indices = np.where(valid)[0]\n",
    "    color = WONG_COLORS[i % len(WONG_COLORS)]\n",
    "\n",
    "    bars = ax.bar(\n",
    "        positions, values,\n",
    "        width=bar_width,\n",
    "        label=tool,\n",
    "        color=color,\n",
    "        edgecolor=\"white\",\n",
    "        linewidth=0.5,\n",
    "        alpha=1.0,\n",
    "    )\n",
    "\n",
    "    for dataset_idx, xpos, ypos in zip(valid_indices, positions, values):\n",
    "        bar_positions[(tool, dataset_idx)] = (xpos, ypos)\n",
    "\n",
    "    nan_xpos = x[nan_mask] + offsets[i]\n",
    "    nan_positions[tool] = (nan_xpos, color)\n",
    "\n",
    "\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(datasets, fontsize=13)\n",
    "ax.set_ylabel(\"Average loading time (seconds)\", fontsize=14)\n",
    "ax.set_title(\"Average Loading Time with Increasing Dataset Size\", fontsize=17)\n",
    "ax.set_ylim(0, 20)\n",
    "ax.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "\n",
    "ax.text(0.5, -0.05, \"Dataset Size\", ha=\"center\", va=\"top\",\n",
    "        fontsize=14, transform=ax.transAxes)\n",
    "\n",
    "# --- Legend ---\n",
    "handles = [\n",
    "    Patch(facecolor=WONG_COLORS[i], edgecolor=\"white\", label=tool)\n",
    "    for i, tool in enumerate(tools)\n",
    "]\n",
    "labels = tools \n",
    "\n",
    "ax.legend(\n",
    "    handles=handles,\n",
    "    labels=labels,\n",
    "    title=\"Visualization tool\",\n",
    "    loc=\"center left\",\n",
    "    bbox_to_anchor=(1.02, 0.5),\n",
    "    frameon=True,\n",
    "    fontsize=12,\n",
    "    title_fontsize=12,\n",
    ")\n",
    "\n",
    "plt.tight_layout(rect=[0, 0.22, 0.82, 1])\n",
    "plt.savefig(\"results/avg_load_time_allen.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c8b7e66-f468-436c-bf2d-424a5ceea601",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## transcript enabling time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3fbfe0a8-a62c-452a-b342-3c7c7e94b385",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.patches import Patch\n",
    "\n",
    "datasets = [\"200 M\", \"1 B\"]\n",
    "x = np.arange(len(datasets))\n",
    "\n",
    "TIMEOUT = 300\n",
    "\n",
    "raw = {\n",
    "    \"Celldega\":   [0, 0],\n",
    "    \"Allen Institute\\nSpatial Explorer\": [187.33, 227],\n",
    "}\n",
    "\n",
    "WONG_COLORS = [\n",
    "    \"#2E6CB1\",  # custom blue\n",
    "    \"#E69F00\",  # orange\n",
    "    # \"#009E73\",  # bluish green\n",
    "    # \"#D55E00\",  # vermillion\n",
    "    # \"#CC79A7\",  # reddish purple\n",
    "]\n",
    "\n",
    "tools = list(raw.keys())\n",
    "n_tools = len(tools)\n",
    "bar_width = 0.13\n",
    "offsets = (np.arange(n_tools) - (n_tools - 1) / 2) * bar_width\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(25, 15))\n",
    "bar_positions = {}\n",
    "nan_positions = {}\n",
    "\n",
    "for i, tool in enumerate(tools):\n",
    "    raw_vals = raw[tool]\n",
    "    color = WONG_COLORS[i % len(WONG_COLORS)]\n",
    "\n",
    "    valid_indices, valid_vals = [], []\n",
    "    timeout_indices = []\n",
    "    crash_xpos = []\n",
    "    zero_xpos = []\n",
    "\n",
    "    for idx, v in enumerate(raw_vals):\n",
    "        if v is None:\n",
    "            timeout_indices.append(idx)\n",
    "        elif isinstance(v, float) and np.isnan(v):\n",
    "            crash_xpos.append(x[idx] + offsets[i])\n",
    "        else:\n",
    "            valid_indices.append(idx)\n",
    "            valid_vals.append(v)\n",
    "            if v == 0:\n",
    "                zero_xpos.append(x[idx] + offsets[i])\n",
    "\n",
    "    # Plot real bars\n",
    "    if valid_indices:\n",
    "        positions = np.array([x[idx] + offsets[i] for idx in valid_indices])\n",
    "        ax.bar(\n",
    "            positions, valid_vals,\n",
    "            width=bar_width,\n",
    "            label=tool,\n",
    "            color=color,\n",
    "            edgecolor=\"white\",\n",
    "            linewidth=0.5,\n",
    "            alpha=1.0,\n",
    "        )\n",
    "        for dataset_idx, xpos, ypos in zip(valid_indices, positions, valid_vals):\n",
    "            bar_positions[(tool, dataset_idx)] = (xpos, ypos)\n",
    "    else:\n",
    "        ax.bar([], [], width=bar_width, label=tool, color=color,\n",
    "               edgecolor=\"white\", linewidth=0.5, alpha=1.0)\n",
    "\n",
    "    # Clipped bars for timed-out runs\n",
    "    for idx in timeout_indices:\n",
    "        xpos = x[idx] + offsets[i]\n",
    "        ax.bar(\n",
    "            xpos, TIMEOUT,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            edgecolor=\"white\",\n",
    "            linewidth=0.5,\n",
    "            alpha=1.0,\n",
    "        )\n",
    "        bx = xpos - bar_width / 2\n",
    "        bw = bar_width\n",
    "        n_teeth = 5\n",
    "        tooth_w = bw / n_teeth\n",
    "        tooth_h = 6\n",
    "        zx = [bx]\n",
    "        zy = [TIMEOUT]\n",
    "        for t in range(n_teeth):\n",
    "            zx.append(bx + tooth_w * (t + 0.5))\n",
    "            zy.append(TIMEOUT - tooth_h)\n",
    "            zx.append(bx + tooth_w * (t + 1))\n",
    "            zy.append(TIMEOUT)\n",
    "        ax.plot(zx, zy, color=\"black\", linewidth=1.5, zorder=6, clip_on=True)\n",
    "        ax.text(xpos, TIMEOUT + 4, \">5 min\", ha=\"center\", va=\"bottom\",\n",
    "                fontsize=9, fontweight=\"bold\", color=\"black\", zorder=7)\n",
    "\n",
    "    # Stars at baseline for zero-value bars\n",
    "    for xpos in zero_xpos:\n",
    "        ax.plot(xpos, 0, marker=\"*\", markersize=18, color=color,\n",
    "                zorder=7, linestyle=\"None\", clip_on=False)\n",
    "\n",
    "    nan_positions[tool] = (crash_xpos, color)\n",
    "\n",
    "# X markers for crashed runs\n",
    "x_marker_height = 8\n",
    "for tool, (xpos_arr, color) in nan_positions.items():\n",
    "    for xpos in xpos_arr:\n",
    "        ax.plot(\n",
    "            xpos, x_marker_height,\n",
    "            marker=\"x\",\n",
    "            markersize=12,\n",
    "            markeredgewidth=2.5,\n",
    "            color=\"black\",\n",
    "            zorder=5,\n",
    "            linestyle=\"None\",\n",
    "        )\n",
    "\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(datasets, fontsize=13)\n",
    "ax.set_ylabel(\"Average transcript enabling time (seconds)\", fontsize=14)\n",
    "ax.set_title(\"Average Transcript Enabling Time by Dataset Size\", fontsize=17)\n",
    "ax.set_ylim(0, 320)\n",
    "ax.axhline(y=300, color=\"red\", linestyle=\"--\", linewidth=1.5, alpha=0.6, zorder=2)\n",
    "ax.text(1.1, 302, \"5 min limit\", fontsize=11, color=\"red\", alpha=0.8, va=\"bottom\")\n",
    "ax.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "\n",
    "ax.text(0.5, -0.05, \"Dataset Size\", ha=\"center\", va=\"top\",\n",
    "        fontsize=14, transform=ax.transAxes)\n",
    "\n",
    "# --- Legend ---\n",
    "handles = [\n",
    "    Patch(facecolor=WONG_COLORS[i], edgecolor=\"white\", label=tool)\n",
    "    for i, tool in enumerate(tools)\n",
    "]\n",
    "handles.append(Line2D(\n",
    "    [0], [0], color=\"red\", linestyle=\"--\", linewidth=1.5,\n",
    "    label=\"5 min time limit\", alpha=0.6,\n",
    "))\n",
    "handles.append(Line2D(\n",
    "    [0], [0], color=\"black\", linestyle=\"-\", linewidth=1.5,\n",
    "    label=\"Exceeded time limit (clipped)\",\n",
    "))\n",
    "handles.append(Line2D(\n",
    "    [0], [0], marker=\"x\", color=\"black\", label=\"Run crashed\",\n",
    "    linestyle=\"None\", markersize=10, markeredgewidth=2.5,\n",
    "))\n",
    "handles.append(Line2D(\n",
    "    [0], [0], marker=\"*\", color=\"gray\", label=\"No user interaction required)\",\n",
    "    linestyle=\"None\", markersize=14,\n",
    "))\n",
    "labels = tools + [\n",
    "    \"5 min time limit\",\n",
    "    \"Exceeded time limit (clipped)\",\n",
    "    \"Run crashed\",\n",
    "    \"Instant (no user interaction required)\",\n",
    "]\n",
    "\n",
    "ax.legend(\n",
    "    handles=handles,\n",
    "    labels=labels,\n",
    "    title=\"Visualization tool\",\n",
    "    loc=\"center left\",\n",
    "    bbox_to_anchor=(1.02, 0.5),\n",
    "    frameon=True,\n",
    "    fontsize=12,\n",
    "    title_fontsize=12,\n",
    ")\n",
    "\n",
    "plt.tight_layout(rect=[0, 0.22, 0.82, 1])\n",
    "plt.savefig(\"results/avg_render_time_allen.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aeede0d3-1956-4801-9230-ddb1babdee42",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## exploration time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ff01ecd5-5837-46b1-8b3d-17401eef0303",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.patches import Patch\n",
    "\n",
    "datasets = [\"200 M\", \"1 B\"]\n",
    "x = np.arange(len(datasets))\n",
    "\n",
    "TIMEOUT = 300\n",
    "\n",
    "# None = timed out (clipped bar), np.nan = crashed (X marker)\n",
    "raw = {\n",
    "    \"Celldega\":   [79.33, 83.67],\n",
    "    \"Allen Institute Spatial Explorer\": [126.67, 152.67],\n",
    "\n",
    "}\n",
    "\n",
    "WONG_COLORS = [\n",
    "    \"#2E6CB1\",  # custom blue\n",
    "    \"#E69F00\",  # orange\n",
    "    # \"#009E73\",  # bluish green\n",
    "    # \"#D55E00\",  # vermillion\n",
    "    # \"#CC79A7\",  # reddish purple\n",
    "]\n",
    "\n",
    "tools = list(data.keys()) if 'data' in dir() else list(raw.keys())\n",
    "tools = list(raw.keys())\n",
    "n_tools = len(tools)\n",
    "bar_width = 0.13\n",
    "offsets = (np.arange(n_tools) - (n_tools - 1) / 2) * bar_width\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(25, 15))\n",
    "bar_positions = {}\n",
    "nan_positions = {}  # for crashed runs (X markers)\n",
    "TIMED_OUT = set()\n",
    "\n",
    "for i, tool in enumerate(tools):\n",
    "    raw_vals = raw[tool]\n",
    "    color = WONG_COLORS[i % len(WONG_COLORS)]\n",
    "\n",
    "    # Separate out valid, timed-out, and crashed indices\n",
    "    valid_indices, valid_vals = [], []\n",
    "    timeout_indices = []\n",
    "    crash_xpos = []\n",
    "\n",
    "    for idx, v in enumerate(raw_vals):\n",
    "        if v is None:\n",
    "            timeout_indices.append(idx)\n",
    "            TIMED_OUT.add((tool, idx))\n",
    "        elif isinstance(v, float) and np.isnan(v):\n",
    "            crash_xpos.append(x[idx] + offsets[i])\n",
    "        elif v > 0:\n",
    "            valid_indices.append(idx)\n",
    "            valid_vals.append(v)\n",
    "\n",
    "    # Plot real bars\n",
    "    if valid_indices:\n",
    "        positions = np.array([x[idx] + offsets[i] for idx in valid_indices])\n",
    "        bars = ax.bar(\n",
    "            positions, valid_vals,\n",
    "            width=bar_width,\n",
    "            label=tool,\n",
    "            color=color,\n",
    "            edgecolor=\"white\",\n",
    "            linewidth=0.5,\n",
    "            alpha=1.0,\n",
    "        )\n",
    "        for dataset_idx, xpos, ypos in zip(valid_indices, positions, valid_vals):\n",
    "            bar_positions[(tool, dataset_idx)] = (xpos, ypos)\n",
    "    else:\n",
    "        # Still need a legend entry — plot an invisible bar\n",
    "        ax.bar([], [], width=bar_width, label=tool, color=color,\n",
    "               edgecolor=\"white\", linewidth=0.5, alpha=1.0)\n",
    "\n",
    "    # Plot clipped bars for timed-out runs\n",
    "    for idx in timeout_indices:\n",
    "        xpos = x[idx] + offsets[i]\n",
    "        bar = ax.bar(\n",
    "            xpos, TIMEOUT,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            edgecolor=\"white\",\n",
    "            linewidth=0.5,\n",
    "            alpha=1.0,\n",
    "        )\n",
    "        # Jagged clip at top\n",
    "        bx = xpos - bar_width / 2\n",
    "        bw = bar_width\n",
    "        top = TIMEOUT\n",
    "        n_teeth = 5\n",
    "        tooth_w = bw / n_teeth\n",
    "        tooth_h = 6\n",
    "        zx = [bx]\n",
    "        zy = [top]\n",
    "        for t in range(n_teeth):\n",
    "            zx.append(bx + tooth_w * (t + 0.5))\n",
    "            zy.append(top - tooth_h)\n",
    "            zx.append(bx + tooth_w * (t + 1))\n",
    "            zy.append(top)\n",
    "        ax.plot(zx, zy, color=\"black\", linewidth=1.5, zorder=6, clip_on=True)\n",
    "        ax.text(xpos, TIMEOUT + 4, \">5 min\", ha=\"center\", va=\"bottom\",\n",
    "                fontsize=9, fontweight=\"bold\", color=\"black\", zorder=7)\n",
    "\n",
    "    # Store crash positions for X markers\n",
    "    nan_positions[tool] = (crash_xpos, color)\n",
    "\n",
    "# Draw X markers for crashed runs (TissUUmaps)\n",
    "x_marker_height = 8\n",
    "for tool, (xpos_arr, color) in nan_positions.items():\n",
    "    for xpos in xpos_arr:\n",
    "        ax.plot(\n",
    "            xpos, x_marker_height,\n",
    "            marker=\"x\",\n",
    "            markersize=12,\n",
    "            markeredgewidth=2.5,\n",
    "            color=\"black\",\n",
    "            zorder=5,\n",
    "            linestyle=\"None\",\n",
    "        )\n",
    "\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(datasets, fontsize=13)\n",
    "ax.set_ylabel(\"Average exploration time (seconds)\", fontsize=14)\n",
    "ax.set_title(\n",
    "    \"Average Exploration Time by Dataset Size\\n(~3 zoomed-in regions, 8 pans each)\",\n",
    "    fontsize=17,\n",
    ")\n",
    "ax.set_ylim(0, 320)\n",
    "ax.axhline(y=300, color=\"red\", linestyle=\"--\", linewidth=1.5, alpha=0.6, zorder=2)\n",
    "ax.text(1.1, 302, \"5 min limit\", fontsize=11, color=\"red\", alpha=0.8, va=\"bottom\")\n",
    "ax.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "\n",
    "\n",
    "# --- Legend ---\n",
    "handles = [\n",
    "    Patch(facecolor=WONG_COLORS[i], edgecolor=\"white\", label=tool)\n",
    "    for i, tool in enumerate(tools)\n",
    "]\n",
    "handles.append(Line2D(\n",
    "    [0], [0], color=\"red\", linestyle=\"--\", linewidth=1.5,\n",
    "    label=\"5 min time limit\", alpha=0.6,\n",
    "))\n",
    "handles.append(Line2D(\n",
    "    [0], [0], color=\"black\", linestyle=\"-\", linewidth=1.5,\n",
    "    label=\"Exceeded time limit (clipped)\",\n",
    "))\n",
    "handles.append(Line2D(\n",
    "    [0], [0], marker=\"x\", color=\"black\", label=\"Run crashed\",\n",
    "    linestyle=\"None\", markersize=10, markeredgewidth=2.5,\n",
    "))\n",
    "labels = tools + [\"5 min time limit\", \"Exceeded time limit (clipped)\", \"Run crashed\"]\n",
    "\n",
    "ax.text(0.5, -0.05, \"Dataset Size\", ha=\"center\", va=\"top\",\n",
    "        fontsize=14, transform=ax.transAxes)\n",
    "\n",
    "ax.legend(\n",
    "    handles=handles,\n",
    "    labels=labels,\n",
    "    title=\"Visualization tool\",\n",
    "    loc=\"center left\",\n",
    "    bbox_to_anchor=(1.02, 0.5),\n",
    "    frameon=True,\n",
    "    fontsize=12,\n",
    "    title_fontsize=12,\n",
    ")\n",
    "\n",
    "plt.tight_layout(rect=[0, 0.22, 0.82, 1])\n",
    "plt.savefig(\"results/avg_exploration_time_allen.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7985d678-dfb8-48bf-bc7e-701145893914",
   "metadata": {},
   "source": [
    "## Figure 2.C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "211b41f6-d89e-446e-a3b4-5673fec2f531",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AAIAvERgHAAAAfO7vv/+2rYe0cBpablrlp7UY/vbbb9usIq8ExidPnmx++eWXOJmBTjlRBcmVZUxg3J0ttJYsWRLnvjVr1pg///zTFCpUyKRMmTJqxwbAffr162eaNm1qy6rXr1/fZMuWzX6fqKz4ggUL4owjbqbM98OHD5vdu3fbkvEKkBctWjT4+Nq1a0327NmNVzYC6tpGQXFRpZhevXrZoLiUKFHCVpXxik2bNtlKKqoI0Lx5c3utpw1jmzdvttd88+bNI2scAAD4DqXUAQAAAJ/LlSuXzZhSgPiDDz6wC6i6zZ492z7m/OwFhw4dsjcFOCRNmjRxyuNeffXVdiEZ3qCNHqp2QFAcwLnS2KCM4tdee82UL1/e5MuXzwZUf/31V9ujOn/+/J54UvX9ePPNN0csIX7y5ElbdaNWrVrGC44fPx6nf7h+Dt0QqE0BOmevUFsRtQEYOXKkLaOu97RuKq2uzWRDhgyJ9iECAAAkOTLGAQAAAJ9TCVVlwClz6O677zYtW7a0PTe9SoFxLY7rvBU0VdDDoYw53Q/32bp1q2nTpk0wM05Z/zfccINZv369LYmszR0qEQwAiXX//ffb7xN9r+zfv99uFitcuLDnnkAFSFUaXn2oFThVhrj6qI8bN878+++/nqqiohYqzriv64Hw370iEAjYygbKgFdVAI2D5cqVs5Vx1CpA1XH0/gYAAPAbAuMAAAAArJo1a5qffvrJdOnSxWbHadHUa5Q5pSw/9RetXbt2vMfVh/raa6+NyrHhwrRv396cOnXKlj9WMOfrr782t912m/noo4/sRg8FftRbFgDOhTKKy5Qp4+kn7brrrjOLFi2yZcVVQUblxhU8Vc/t4cOH28CqV17LLFmy2Cx4R/jvqgzgBcp8VzWA9OnTB89LlYH0uoo2eaiVDgAAgN8QGAcAAAAQpAXU8ePHmxkzZph27dp5MntaAVQt/L/33ns2Q84xadIkW0r2448/jurx4fwy41TxYMuWLSZz5sx2Y4cCPbNmzbLv6UGDBpkHH3yQpxYAEqDvTX2PKqCqnuMKoiZLlsxTz5cC/MqE9wMFxStXrmy+++47U6VKFbsxcMSIEcHHVR2gVKlSUT1GAACAaCAwDgAAACCeunXr2gzygwcPeu7Z6d69u1m5cqUts61ysbpt3rzZHDhwwDz99NOe6aXqJwrkqDfsVVddZX8vUKCADYg7mXJ58uQxe/fujfJRAkDs03ep890Jd3M2+ykwro2Obdu2DT6mSgBPPPFEVI8PAAAgGgiMAwAAAIgoTZo09qaem+pTqWC5V0qpTpgwwXTq1Mlmx/3zzz8mZ86c9vyKFCkS7cPDeWbGVahQwfz444+mYsWK5oorrjCDBw8OPq4+48WLF+e5BQCf03gwZcoUWzZ+3759Nqs69PpA1zvaMOcFGhd1i0TXQRkyZEjyYwIAAIg2AuMAAAAAzmj37t02iOyVwLhDAVTd4A0KhKufuF7TVKlSmUcffTT42MiRI03Pnj2jenwA3GnDhg1m9erVtrx4jhw57HeMNo3BvVnUN954Y7DaiFpwOD3G58+fb15++WVbPcbrCIoDAAC/IjAOAAAA+NzRo0fNN998k+DjO3bsSNLjQdL05PZa71iVitUtkldeecUzGYAAksbWrVtN8+bNzcKFC+3vyZMnN6dPnzaZMmWym20eeOABXgoX+uyzz4KBcEmdOnVwI1WlSpVM+/btfREYBwAA8CsC4wAAAIDPKfB9yy23nPFv8ufPn2THg4vn2LFj5sUXXzR//PGHqVOnjrn11lvNvffea0vFKog8efJkXwSM/XCOAC6uJk2amLx585offvjBHDhwwPZjfvzxx+1msq5du5osWbKYO++801PjhaptyPTp022rkbRp05pmzZqZa6+91niBsv4PHjxosmbNan9X243u3bsHH1dble3bt0fxCAFv0PfkuHHj7Aaje+65x7Yq0kaj77//3tSqVcs+RuUNAEC0JI/a/xkAAABAzMiXL585cuRIxNuaNWuifXg4T8p8e/755+3CpLIbW7VqZRcix44da44fP24GDhzIcwsAYf7++2+zfPly884775jrr7/ebh4bNWqUzRRv2bKlee6558xLL73kmedNY8Hw4cPtz8qWvu+++8y6devMokWLbI/qpUuXGi9ImTKlDdj9+++/wcD4k08+GXx827ZtdjMAgAujIPigQYPM4sWL7abMRx55xG680edt2bJldtMmAADRQsY4AAAeo8UelQQEgHOhstoJfXc4GWRwnw8//NCsXLnSFCpUyHz++eemXr16Zt++fSZdunSmVKlSlAIGgAQCqBoXQ1tOqJS6rrNFFTdeeOEFTzx32iQ1evRoGxRWm41hw4aZr776ylSuXNk+rs0AzzzzjPniiy+MF15XZb9PnTrVbhQL99FHH5ny5csn2fGcOrzDBE7sN36QLGUGk+KKHNE+DCQBVdjQ98X69etNrly5zJgxY0yfPn3M7t277Wfw6quvtvepCgcAANFAYBwAAJdSFqcWrn7//XdTu3ZtG+y46667bGZH2bJlbQlElX8EgLPJli2bzSBOSJ48eWzGh1do4V9ZgMoGrFq1qs2Mc4IfChqrVK5KPLrdP//8Yzc1KCguynq86qqrbFDcKY+vRUoAQFz6nixRooRp166deeyxx2yGcbdu3cxNN91kH1c5YOdnL8wpVGL8sssuM3v37rWBKycoLioX/+qrrxqvUOn0zp0722sBlXhOnz69Pe/XX3/dZrFqU0BSUVB898fFjB9kvVvVhwiM+4E22egaU0FxqVatmv1Z3y1SsGBBs3PnzigfJQDAzwiMAwDgUlqo08KNJppaqPvggw9M7ty5zZQpU+ziVb9+/cz48eOjfZgAXEClRNXvLyFaLFdw3Cv69+9vS+JWrFjRfk9OmjTJZlZffvnlNhtwxowZxgtOnTplUqRIEed1DM1+1M+nT59OuuMhMw6Ai7z11lumUaNGtrqGaJwcMGCA/d7cuHGjGTJkiPGCDBkymOLFi9sNch06dDCZMmUyP//8s91oK/Pnz/fUZluVwt+0aZNtNdK6dWt7DaSNAQqQv/HGG3E2BQA4dydPnrTXnA79rIobDv2clNefAACEIzAOAIBLqQTgqlWrbCmyL7/80vbu2r9/v81wKVq0qM2AAADEp76wCxYssOVSd+3aZRo2bGiaNGliJk+e7Lmn69ChQ3bxXxT0D/89KZEZB8BNSpYsaX799VezefNmkyZNGpM1a9bgYwqQe4nKGt9222225YYqqdxwww22IpUy5bUR1wtl1EM99dRTpm3btubrr7+2/eRz5Mhhbr75ZrtJAMCFU0Z4r1697M979uyJ9zsAANFEYBwAABfSIpV2WisoLqVLl7YBcac8rjI7KY8L4GJQVpy+a1QSUT97oe+hMqmdHqIqIz979mxzxx132Cyy559/3niFyqjffvvtZseOHcH7wn+vU6dOlI4OANzRf1vZjk5QXD1zlU1dqVIlT1VSUTBc5zVixAjbOkVtN3777TdToUIFs2zZMlOuXDnjNdmzZ7cVAQBcXGnTprUbi7755pvgfeG/67sFAIBoITAOAIAHyuPq5/DyuOqbBwAXSsEAtWrQIpcXqFSqzkWZ4gqKi35XlpwqbzjZ1F6gzVKffPJJtA8DAFxJWdKNGzc2Bw8etJVFHn/8cdtX3CkLrBLjasnhFUWKFLF9tgHgQmhDrSpNAAAQqwiMAwDgUuqF16JFC/vziRMn4v0OABeDgsYqM+4l7dq1M6+99prp169fnID5rFmzbClVLwstn65NVMoqBwDEp37bffv2NXXr1rX/dFpu1KtXz3Tr1s0MGzbMfPTRR5556vbt22emT59uVq9ebdtuZMyY0VZXUUn1yy+/PNqHBwAAAFwUyS/OfwYAACQlLU7dd999wd9TpkwZ73dluABAYtszTJo0yRw5csQXT1iPHj1sdni4zJkz2wxAL2XMffvtt6ZTp07Bno7qkxt6W7t2bbQPEQBizt69e22meM+ePU3x4sXtRioFi+vXr283FbVp08asWbPGeIWyOwsWLGi6d+9uli5dav78808zb94807RpU9uySX3WASCxFixYYIYMGWJ//vXXX03q1KmDt0yZMpm///6bJxMAEDVkjAMA4EJXXHGFee+996J9GAA8FADQ4rd6it5///22nLgCAV515ZVXmmrVqgVbUyiL2ikVr/LqCnx4xeDBg22GvCNDhgzms88+sz9PmzbNjB492rzyyitRPEIAiD2qpnHs2DF708/KptZY4bQz0oYyr1TcUPulVq1amSeeeMIGxlUq3qHNAW3btrUbBLSBDgASQ5uJhg8fbn8+ffq0yZ49uxkzZoz9/d133zVjx441vXr14skEAEQFGeMAAHhkQUuZgM6NHdjApbN161bbj3rHjh2eeppz585tg6Tff/+9KVGihO2jqt7ix48fN16jBTqd67XXXmsrcChQrn7c99xzj6cyAGXRokWmevXqwd8V8Ljhhhvs7cEHHzRff/11VI8PAGKRxgWNEarIpGDOI488YipVqmSDx8uWLTNPPfWU/d0LnPmDgt+hQXHneXjyySfNDz/8YPxAc6iiRYtG+zAAV9OGop9//tlUrlw5eJ+us++66y57a926tc0oBwAgWgiMAwDgUlqUe+ihh+zP+/fvN1mzZg3eVA5Yk1EAF+bHH380FSpUsFkOnTt3tkHjIkWK2EWdYsWKmRUrVnjmKdZiuLLFVUJV51WyZEmbOa6AuRbL169fb7zi8ccfNy+88IINhD/22GMmS5Yspk+fPra8Y5UqVcxvv/1mvEAZjdrYoP7pon+OHz8++LgqBKhaAAAgvgkTJtjv0JdfftlW3tDv6sFdtWpV+92pccMLNDZow9iqVasSbMmh6yA/0PPAuAhcmL/++st+Z6jthGguMWjQoODjuu7evXs3TzMAIGoopQ4AgEs9++yzpkOHDnEyOpQZ6JTHffHFF81bb70VxSME3E+BYvXW1IK4MsZmzpxpxo0bZ+rUqWPLjapEoBbKvUZZciqvrfObOHGi7bk9ZcoU23PU7U6cOGFee+012+8wf/789j5lVOv1nT17ts0C7N+/v5k8ebLxQtsNna8yAbUIqez4unXrBh/fuHGj7fMIABdK/bedlhReUbhwYTvuh1JVkX/++cduQvUKlYTv2rWrufHGG03z5s3tdY+yO5U9vWTJEjuv8EoZdZXEV8WUhKhUPoALo3WJbdu22Y0myZMnNxkzZjQNGzYMPr5582bb2gcAgGghMA4AgEspqzM0IKd+h2XLlrU/p0mTJk7wA8C504KwMh5UfSFlypQ2U7xRo0Z20Vg6duxo+256mYIcDz/8sL15JYtaPWK1SOcExUWl49etW2d/Vq91r3x/alxQZqM2AijgH06bH0LLrAPA2SgorM2ZCmxoTFSQ8fbbb7eVRipWrGhmzJhhsmXL5tknUuOHl4LiDr2mGgvfeecdM3XqVHP48GEbzCpfvryZO3euZ8aKkydP2k1+AwcOjPi4zlubiwGcvxw5cphcuXLZDTXNmjWL9/ibb75pqlWrxlMMAIgaAuMAEEI7WlXSyS+l4uBeR44cMQcPHrRlcJ1d2VrECi2JqIVLAOdPnyEt7iso7pQBdEpSizIdDhw44JkAuLLgz6R48eLGC5QFp6CGNha1bNnSBAIBmxGvgIBTfrxgwYLGK5T9fscdd9jrm3vvvdcuViqgpXOeNWuWWb58ebQPEYCLaPOQAotqM6JNU/qnNuAMGDDADBs2zDz33HPm+eefN162c+dOu0lO36fvvfee8YoWLVrYm9dpA3GPHj0iPqYKKwTGgQunDZlqyaTMcc0xVLlow4YNZtSoUbYlnCpwAQAQLQTGAfiWeodpsVgLO3fffbftF3vLLbfY8njXXHON3RmfL1++aB8mEJH64CpjRRNN7cZWb+Bbb701+Lh6AXsxmwVISgqY+kXWrFlt9rBfjBw50gZ3+vbtazPIdVuwYIF9zUePHm0DO16haxuVhe/SpUucxf4yZcqYefPmmUKFCkX1+AC4h7Jpv/rqK3v9qTYMH330kWndurX5/PPP7bWoMox79+5tvE7nWqBAARvogbuopchNN910xhYkqggE4MI8+OCDdgNxv379zOOPPx68XxtR58yZY9cwAACIFgLjQCKziLWguGXLFhs8VenNRx55xHzzzTemZs2adke8JlhwF2WJKWNK5f+0m1W7/W+77Tbz0ksv2QXxwYMH22wqIBYlS5bMLuro/TpkyJB4jyuwo2AIgAujHszKCHP6TiqLPPR3r/XHO378uNm6dau91tHmG8exY8fMypUrbUlVL1CfQ53P/Pnz7TVc7dq1gwt0H3zwgfGa+vXrm3r16pk//vjDtgjQezi0lDwAJMaOHTvsd6WC4nLttdfajVUKFDuVVVSdwuu0+fSNN94wfrB9+3b7Out1V7l8t1Pln9AqW5EC4wmVWQdwbrQps127drY6kSoy5cmTJ1ihCQCAaCIwDiSCSsRpkTRv3rzm6aeftj1yVAJIi6pvv/22ufrqq81jjz3Gc+kiJ06csIvhynbQwoYyxhs0aGCzxFUyV4EOr/eNhftp0ebGG2+0i5Tq8ZgzZ07bD1llyRYtWkR5XOACqa3G2Ra+Q0uru52+NxRAVfBf1zzvvvuuufnmm4ML4yrDrY0CXqHqMLr5aUNVkSJFon0YAFy+YTx001SKFCnsd4tDP/up2oof6DpHZfLVtsnrtAkwVapU0T4MwHOV7qpUqRLtwwAAIA4C40Ai+vgqk/iXX34xRYsWtdnhKr+9a9cuu5v4+uuvN2PGjCEw7jLKZFBA3Ck1rb6p+tnpI6sAo0qtA7GsUqVKZubMmXYntjbpODTxVJlLbdoBcGG9qFu1auWbp1B9AB966CHzwAMPmE8++cRWyZk2bZqpVauW8VOZ4LFjx9qe62yQA4DI/bWbNGlifz548GC8371Em8I6dOhgK4xUr17d9lDPli2bfWzTpk12fFy7dq3xMo2Hjz76qPES9RHX/OnXX381999/v73uUUsqZcTrn6oWeNVVV0X7MAEAAHCJ/G+rL4CInP69CoqLSm0raKqguOh+ZWvC3dkOoT87yHaAG9SoUcMu1um7atWqVXbTx9KlS03ZsmWjfWiAJ5w8edIu+jsL/pMmTQrePv74Y+MV6gGoihNDhw41pUqVsi1GdI6NGze2G2384tChQ/Y5UJsKAED87OF77rnHZgDqph7bkX73Cm0WU/uJTp062UC4NqWqFZczV1SGsdfoeiDStdD69euNlyoCqgLgfffdZzfDNW3a1JQsWdLMnj3bXgcMHz482ocIAACAS4iMcSARJbdD+4frZ5WMc+hn9RiF+ygjXNlwcvTo0Xi/A26iDTu6Abi4Xn75ZbsIPnLkSLsRrnnz5iZjxozBQPmCBQtM1apVXf+0O/1hQ0viakwcP368bTfy6quvGj9Qr1w2PAJAZMqWDq1S5GUKen/55Zc2a1zZw8ow7tmzp80o/vrrr43XqEKexvs///zT9hR/6623TPny5e1jGhdvuukms2XLFuN22tDwxRdf2Gs7vZ/VlkrVANRGRu3UVEq9a9euZvDgwdE+VAAAAFwiBMaBRNAu8REjRtiflY0Z/jvcRz3SlAEQqlixYnF+93ofJO36/+abb0yFChV81WMVAM7Fiy++aBfGHWpR8Mcff9ifFSxWppEXAuOqhKMF8MWLF9tFYkeDBg1s9lTr1q2D5WO95t9//7XnqAXxNGnSGK/6/fffbZlYnatey2rVqtnsTwA4X9ogHjof1iYrZY17gb4rNTY6JbW1cUyZxKo8puD4u+++a7ykXbt2NvitgPj06dNtVSq1bNJY4bUND2qf5lzTFClSxL7GugZwrvNY4wEuzfrTsmXL7GdN36FOFU4AAKKBwDhwFtoxHL4zPvx3goruo8mvsgD94vvvv7e901Qyrm7duqZ79+7m5ptvthURtDCgsnFaCAEAxF0UVzWR/PnzR3xatLFo3LhxnnnKlB01b968OIFxUZa8Kql89tlnxiuOHz9uz1cZ8Soh7wQ9SpQoYbMCvdRfXK02VCbWyXBUtSOdq65xn3nmGZsZBwCJpbFA1VJUSUXZxQosOvT9os1jBQoUcP0TmilTJhvk1/kULlw4eP/zzz9vK8aoZHxolRU3O3LkiN04tXDhQjs2aJ6oa5x69eqZWbNmeaoqlUr+Fy9e3KxevdqWT9eG+W7dugUf37hxY5zXG8D50TX24cOHTceOHe36qVoYpEuXzt6XL18+e12aPXt2nl4AQFTQYxw4C+0YVt/eM920oxruz3bQoodz04TYS7TAr8WNiRMn2iCP+qm98847NjCghQD6qAFAfKoQE9pORQula9euDf6uBXEv9RdVpZS+fftGfExVVrzUU719+/Z2THz88cdtD/WffvrJzJ07146PTzzxhKd6jGtjnIIaCnp8++23NvtPGYHvvfeeee655+zzAACJpQ01zZo1C/6eN29es3LlSntTL+4xY8Z45sns3bu3/Z4Mp4ox4ZvI3F5eXNn+2jDt0IaqUaNGmdq1a9vxw0uefvpp88Ybb9iflbUaeu3z2muv2Q1yAM6f5kdqPaGKU1pr0yZMrT9pLUrzqzJlytjPIQAA0ULGOABfZztoU4PK4Kp3XGi2g4IdWtzRLnK3U5bfmjVrzHfffWcDPIUKFTI33HCDady4sX1ck5U6depE+zBxkWgHdo8ePcwrr7zCcwpcIFWIUZlt9dbMkSNHMBvOoYViBQTgvsU6BYO1ES789VNpx+uuu8706dPHBni8cA2gjJx9+/YFy8QraNWkSRO7ufPkyZM2+1FVAQDgbFRtSnMkfU86NL8oVaqU/fnee++116Fe2likW7jkyZPbUurKtPYCBYfLli1r22yFtodp2bKlzY7XvNEpNe4Ft99+u71F2iCgzRCqHgPg/G3ZssVWn9C1pyqL6PtDm21E9ylQriqGAABEC4FxIJFlqBctWmQee+wx2xcntOS0Lup++OEHT00U/WLIkCF2MdihoId6HolKPSlbTDvG3W7//v22dLyT9ajzVMk4h8pZKfADd1EwQ1mOkUo/a6GuYcOGNuuDEvnA+dOCjhZOtcivcUHZVA71n1SmgzKO4b5gsTbAJVS+UcFyr4yLes9qM4cW+x3qj6uKMaJqMiq1DgCJoY1imvcqMCy5c+eO02s7ffr0diOOH2gc8VKP3EGDBplPPvkkTmBcOnToYDcAeKlqTEKclioALoxKpWvDvtZKixYtatcotC7lrJtqXVXrUAAARAuBcSAR+vXrZ4Pizi55lQJSUFWmTp1q+4t6aWe8H2hR+OeffzbXX3998D4tHDv98OrXr28efPBB4wWhi+HwDmVv3HbbbQk+rsc08fTL4iRwqWgDlUqMK5NK5USVRa7Mh0mTJplrr73WtGnThiffZfTdqOxGlVNXSeBcuXIFH/vtt99sCVVljnslMK4qMffff7/p1auX3RSgUvE1atSwj2tDoFfOFYg2lYhVFSr1L9a84sMPP7QZuDVr1jR33nmn8QJttt21a5cNlGqDuG6hgVQFO9SX2yv0eiowrCz56tWrm2HDhtnrANm0aZOpVatWnBYrbqa+4rpForUQZz3EyxS80xipTeRDhw6N9uEArqUN+gMHDrRzJ20ivueee+y1Z4sWLexY+fLLL9t1VAAAooUe48BZKAiuEpS33HJLnAXVVq1a2dujjz5qZs+e7fnnUQupXrJnzx6bCej0UdMCx4wZM4KPp02b1u5o9YqdO3ea1KlT25uC/+G/w330HtVi3N133222bt1qN+3opve2vqP0syadAC6M+or/+OOPdkFcLTheeOEFW0lGizwa/0P7ccI9VEpdLUby5MljrwHUZiRTpkw2U0zXBwp+eMXrr79u/vrrL5sdrvexFvyfffZZu3FOgZ3Q6jkAzo/6FasKhTZMlS9f3i74t2vXzs4jteE2dJ7hZsrwUxl1VdYKp+8U9aQOnTe73UMPPWT74aq1hr4vK1WqZDZv3hw8X7Xm8JoDBw5ErFSlTQ9ep/PU5nm1GgFwYfS9OXLkSDN+/HjbvvCnn36y5dPVzlCVGRs1asRTDACIGjLGgUT0xtGud6d8qhZPQ3vhqCy1goxeoWCwdkdrwq8LVWUAaJenLmL186effuqJLABlO6hMqhY6tBCuMuPlypULPr5u3bpgNoDbZcyY8ayl7xQgh7soGKegnCaV1apVs0EO9e1y+h+HlnwGLoVZs2bZMVIbNDQWKsPGyYwbMGBAnF7cXigH+Oqrr0b7MMzpU3+bwOlDxg+SJU9rkqfIdMn++yrrqAxAbXLQArjKPWpTkQJayvb0kquvvtp8++23duOUxo7Q9j/63AK48I3UPXv2tOOEKvY8+eST9ndtqtKmGwUGFDivW7euJ57qwYMHmzp16pgNGzbYc3IqqSgD8I8//jBTpkwxXqCg95dffmmzxjV3VDURva6qsqEND17zyy+/2A23ei21weOtt96yY6JTQl/tmXTd52UaHxcvXhztwwA8o2XLlvamdUatv2ltShv8AQCINlbNgbNQeTgFvlV6W73UFERt27Zt8HFl4IT2a3Y7BdZ+//13OwlWKXGVj1VWgMpvjhgxwjz33HNm+PDhxu0UCFfWlM5JAcVQ2v2v+xXc8QJlvjVo0MD4aXFSvQ61MKfewMrsULbH/Pnz7eaON9980y5ueYVKASswqc+rSjtT9g9JoWvXrmbMmDEmc+bMNrCm958WiStXrmwDAwqUd+zYkRfjIlNQ/OCuVr54Xq/M9rYxlzAw7vQSrVixor15ncoea1GyYMGCwQ2AypjXuRcpUiTahwe42rZt2+yc0ZkjquS0NoopKC4qHxvah9vtFPxXL2q1ElNFCtE8WXOnRYsWmaxZsxqvlNVWD3Fn3qAxQ/NgrQsoOO6l11RU4UDBbwXEldGp9+3MmTPtBlwAON8qDE5AXBtPtPFGbYt0/emFhBsAgHsRGAfOQjvgtcCvyX/Dhg3jPf7BBx/YwJsXKFtqwYIFwSx57fZ3yscp+1T39enTx3iFAuKa/CvbQYFjlT/cuHFjsOTo5MmTjVccP37clv/T4rcWx995553gY3pt9TprsccLunXrZt5++21bDnf06NHmvvvuswuWqvSg83766ac9VzZWgQ5ltKh85Y033hjtw4HHKYNK35MKqqnSxqBBg2zZaX3O0qdPb9+D2oBCYByxTJvgNCYsX77cbprSWOGMg/v27bOl8r3S+3DOnDn2GlZBHpU41gYqXf8okKdrv88//5w+48AF0GdLJcYd+lkbU0MrM3mtLZV6puumDeTadKP5sq4BvEQb4jX/1WZbtVVxaB5x8OBB2zPXK/MnzQ9XrFhhFi5caN+76jWu9hv16tWzFYJy5sxpvELVUzQnvv/+++0GY69ViQFihVqING/e3AbG27RpY1tRasONNhcpSK5N1VqzAQAgGugxDiSCSqY9/PDDdvf0rl27bEaqemx17tzZBsy9svivhQ1Nep2dm6VLl7Y7/p2SzOrDuXv3buMVymycN2+eDYY3a9bMXqRrcqwA+ZIlSzyT7SDq6eT0AtTi1aOPPmqz4nXT4r/65nqFeljp9VOmjn5WkHzq1Kk2q0XPw9y5c40XKVNHGUoql6vzBS4V9bTXArjTfkK9UzV2OAviJUuWtEFyIJb179/fXsetXr3aZnkqcKxNZKIAllf6AYvOUxsblaWjjVQK5rz33nt242Pv3r1tNSAAF0bfH2rLoJsqMoT/7lWaN11zzTWeC4o7EvqOVHUcL21G1WYxzfnVbiO0kpw23aqtmoLmXtvk+cMPP9ignF7H999/35P94oFo0Zqp1lD79etn2zIqSeOBBx4w06ZNsxtxtLHKa8kKAAB3ITAOJMIjjzxiA4kdOnSwk39NGLVrXMEn9dwO3UHu9ovX0J6w+jl0F7x+1qTZS1ROXQHUAwcO2GCP/qnXtECBAsZLXnnllTgbOJzsB93Uo1rZnV6gLD8FiNUXT2644QZb/lClu0QlLbUBxKucz6d65wKXihb7QzPh9HPo2KGFVZXNA2KZNoupSo42yGks1Ma/Jk2aeO69qyD/5s2bbUscXdsoQL53714bHBctUqqFDoAL4/Rl1k1ZtuG/w530HRmpeojmGyql/uuvvxovUMn4smXL2nlxKPUGVrWtxo0bGy/R+Woj9cqVK+1nVOs8SgLQhnFdEwC4MFpb05xQyQnaTK0Aua6xFRDX/UpI8cr3JwDAnSilDiTSgAEDbHDcCaJq4qSMY/Wq9hIFDVu0aGF/Vom48N+9Sn3ivdQrPtSJEyfsDl1nA4cWctKmTRt8XBMVr5TI12QrNNNBP+t8HfpZG0C8EuzQLmvntVP5f2XuqiywqAKCNu94qZ86YocqT7zxxhv25x07dsT73WsUSFTbjVKlStny06Hlc5ctW2b7qsI9dB2nsaB8+fLBtjmzZ882d9xxhw0CeCmDReOgSlaqjKUyOvVe1uYWZevovazPrso8Azh/usbWddjZPovwFm0aV4DVK9QaR9Xw1F4klILGGjM+/vhj4zW6rhszZoxtCaSscbUK0jWANrPouQBwfjTmab1C16Bag9GcKbSliFr5MC4CAKKJwDhwDpRle9ddd3n2OVM/PAXWHAoUh/+uXtxwF21ocCYkTgBArQAcCg54KUNOk6ynnnrK/qxFnPDfvUITy+HDhwcD4126dLHlrdeuXWvPWX3jhwwZQolcXHRaxFCGuDaMOcJ/90olFVGrCfWf1vdH5syZbYuGunXr2se2b99uMx7ILnIXBYi1QUztcTQmin53em3rNfUKfTbVV/zuu+82derUse1FatWqZTp16mT7PmqcqFKlSrQPE3A1Zb9p0zTgZuorrlskatekm1fpGkBtVXT7/vvvzYcffhjtQwJcTesSak2oqhtqV6C2DGq78cwzz9jrUVWiqFChQrQPEwDgYwTGAQSpTLx6TsJblDGsbLA1a9aY4sWLx3tcPZ/y589vvBKwu+6668xXX30VvC/8d1V68KI5c+bYcri5cuWyv48ePdqWz6d3LC42tSTYsmWLb55YVYsZOHCgzSRWFYZmzZqZd955x/akhnu1a9fOthJRacfQgPmsWbMSDAy4ldqlaPOUrvG06K/3sqoc6H5VjXGqPQA4f6qypao9qjyhyinOpkxRdQYFBULbjriVNompgkrJkiWjfSjAJaFgHQE74MIrakyaNMmuRyxdutRurNH4eNNNN5m+ffua0qVL29YFAABEC4FxAAlSlvHff/8d/F2LOU6vZrhrUqJMsW7dutmgTmgZdWU7KiigBXMvyJAhg1m8eLHxGy1S6nV2guJy9dVX25K5AM6f+k6r6oazcKPFHZXdVPUU9VYvWrQoT69LqefhL7/8Eu9+VQWYP3++LZHvFRobpkyZEue+H3/80Za1DL0mAHBhZajVq1j27dtnJk+ebLPi5OuvvzbTpk0zjRo18kTfWI2DakWh6hpNmzb1VDlxeJ/GeXobA5eegt+LFi2Kc582Vu3ZsyfOugUAANFAYBxAHF988YVZsGCBGTFihL1oLVKkyP++MC67zJaL9UJ2scpQK6vDL+VDVSpV/eKKFStmbr/9dlsdQH3Hp0+fbq6//nrbOw7uo5LpTZo0sT+H9j2WlStXBvvnAheb3l/ahKLvjj///DNYWtx5L6pKgxcCblrsP3HiRJx2FMp0UJDx3nvvpSKDi6k9TLVq1SI+pvLqoa1kvMoLn1EgVqgig4LGDi36K1tO9E/dvBAYd0rkqrJGr169TPfu3U2LFi1skFwB86R2+tTfJnD6kPGDZMnTmuQpMkX7MFxPm4mdNioAktbll19OUBwAEBMIjAPnQFljKlWs7Ewtdigj02vU60clmB158+a1wVN56623zJgxY8ywYcOM22mXqgLF6nOkcqqtWrUymTJ5d6FBgXD1S1MZx3nz5pklS5aYnDlz2tdbgS2VIPeKFStWmPfff98MHTrUZkyHbuRQ1QNlCBYoUMC4ncrj9+zZM/i7k6XkePnll+3rC1wKqjTRunVr+/OxY8dsZvWTTz5pf58xY4YdL9TD2AuBQ7Vf+PLLL23vaYfKUL/77ru29zh9ZeFW+/fvN3feeadtufLZZ59F+3AA11LpdG220c3ZVFWxYsXg46ouog3HXqGxcfjw4bZX7EcffWTbUug6VJuNFCDXxjFdpyYFBcUP7mpl/ODKbG8bQ2D8klPFPG2eX7t27aX/nwE+tHnzZvPII4/YdRqtLwIAEA0ExoFETo504aYy1CdPngzer+xbXcjVqFHDE8+jsuIUVFQGceiOzrJly9qfGzdu7Kk+QFmyZLF9NrURoE+fPnYRR4s5CWWQuZ0C/yrzqJuXaZFO71UJBAI2y1MBLNHC/4svvmhGjhxp3E4LjjrXhBDkwKWi7Gn1tFeZWIfabHTt2tX+rA1H+px5ITDuVNxYuHBhnMC41KtXz0yYMMHMnTs3ascGXAhVAtI1nhPMA3D+cyi1JnDky5cveO3plFZ3qo54iVqKNG/e3N5Wr15tA+SPPvqorTz2888/R/vwPOfUkXTmxL4Dxg9SpE5pUqaLWw0rKa9zaUcFXDoaD7UpM3369DzNAICoITAOJIIywpRRq8C4guTKRFW2nMqKq8+oelFWqFDBE9kOukBVVq0oK378+PHBx3Xh+s8//xgvLeY89dRTpnfv3raEvBZzbrzxRlOiRAmbRa6guXpWw13UCuD111+Ps7lDn1NRpvgDDzwQxaMD3G/Lli12Y5FTaUK9Gh9++OHg4xo7tm3bZrziuuuus7dIVBbXK6Vx4T/K+lR1EQAXRuOeNmNqg7F6qobT5iptqPaykiVLmpdeesm2GFF1Klx8p46eNr+OmuWLp7ZktzqXLDCujSo33HBDgo+fOnXqkvx/AfxH1bbUfgQAgGgiMA6cxa5du8x3331n/+mUhMuaNaud+M+aNcsGBlRKLjRzzq0UFN+5c6ftv61zVRnA6tWrBx9fv369DYB4ccfqXXfdZW8q6zR27Fjz7LPPmhdeeMGeM9zV7kCtDpS9KsqCe/7554OPK5inz7LX/fvvv/azmy5dOrNo0aJoHw48RptNVDpdQQD1adSY+NhjjwUfV1Bc44fXKaNIm+W0mcz5zgHc+D7WtZ/aqwA4PxoHtKH2oYcesnPC0HZb2nyrueKnn37qmWuAQoUKJfi4xn9VVAFilSoA/vnnn2bgwIERHz98+LCtfATg0l5/qh1XmjTRqQwBAACBcSARF2y6WAvtk6aS1FoMd/qMeiEoLgqiqaSmysN379493uOaIN5yyy3Gy1T6UOWpBwwYYHvKwl30OdUES5UNFKjS76EZ4tr44IcqANqwc8cddzDRxCWRI0cOOw7OnDnT1KlTJ97j06ZNi9OSw6vUL7ZIkSI2QKAKMri4KBmbNHQ9q97Ae/bsSaL/I+BNaruhay9lhit7WpvGNE5ofOjbt6+dM3plrjR79uxoHwZwQbS+06NHj4iPaTwkMA5cWr/++qtp0qSJWbVqFU81ACAqCIwDiQgAKOv06aefNl26dLGlt1RGvWLFivbxdevWeaKMukNBYe3y1y7qunXrmmzZstmflSH/22+/mUmTJhmvZDuUKVPmjH03b7vttiQ9Jlw4vW76PL7zzjvBfseh1BqgSpUqnn+qtSFALR+AS0WfrzZt2tgyzAqO6z2nfoyjR482EydOND/++KPnn/zcuXPb/uJ+yI6PBkrGXtzsuASfZ0rGAhdtg/HXX39tN4epdPqBAwfsJrGGDRua8uXL++ZZPn78uNm0aZPdOAbE6jrATTfdlODjuq7r2LFjkh4TAAAAkhaBcSAR3nrrLXPvvffagLio12j//v3tQuOSJUts2W2vUKbDlClT7A5qZY6LSuUqU1yLPQqUe4HO4/PPPzd+qnwwYcIEm7Winbnqo67ycXr/amHgySefDPaWd7s+ffqY++67z5YT1+dWm1uUKa6+4wrYff/998ZLFNRYvHixWblypS0lr5YI5cqVs5t39NkFLgWVTlevcfXXVkl1bSDTZ06VGt5//337HeOHbCOvZADCu5T5pszVM/FimxwgGnQtrXFRN7/SNXft2rWppIKYlT59ejN16tQzBsYTKrMOIHGUVHOmBCKtTxUsWJCnEwAQNQTGgURQ4FBZ07/88otJmzatLTnpBBGd4LGX1K9f3962bt1q9u/fb/tOerl/qjY4KNM4PNioHroKqnqBNjq8/fbbpnTp0jZA3KlTJ/PRRx+ZWrVq2YxPld5+4oknjBeoV7w+lzpnZzOLU/pR/R1V3tIr1qxZYz+rKtWp7FWViVcZeQUsFRj/5JNPPPMeRmxJnjy5GTVqlOnWrZvtY6/MuDx58thNVMqa85oVK1bYgL/K/qn3pErJa7HnwQcfNFmyZIn24QHnHQTQZ/fhhx/mGQSQKApmOC3FItF1KADA37SepvnSyJEjIz7+119/mTfffDPJjwsAAAeBceAslAmnizplw1WrVs1Xz5cCbbp5eRdr48aNzerVq02lSpXM2LFjTalSpexj27dvN5UrV7YBRi+8h3VuKm1ctGhR88EHH5j777/fljnMlSuXzXhUT3WvBMZFwapmzZqZn376yS7eKThctmxZz2TFO9Q/XRt3lPkfGpzT+/aRRx6x5a690v4AsSl//vz25mVatGnXrp0dJ7SxRoF/lY1/7bXXzHPPPWe++uqr4NgBxCJtfkuougG9xQGcC23GPFuZ9EKFCvGkAoDPaWOmKvhFot7iBMYBANFEYBw4i7Vr19rF8BYtWpj27dvbbHF4gzKkVO5XpfCnT59ubrjhBjNv3jzP9QFUNpgy4hUUFwX8tdFDQXHRc7Br1y7jNalSpfJ0P/GjR4/awL+CcirpHEqZuyNGjDhj/zwAieuVqrLxGiPUSz1c586dTd++fc3HH3/M04mYdLZeqdrooU0eAJBYus5MaNzT5kxVbQIA+Jeyxe+5554EH9dalFrgAQAQLQTGgURm2mhHo8pQK9CmALl6GKdOnZrnz6WOHTtmfvjhBzNnzhwbVFT5bZWeVk+8+fPn2wt5r1B5bWWNL1++3PaeXrBggS0FvHHjRlOgQAF7P+W23efyyy+33016HYsXLx7v8fXr19t+4wDO344dO+xnLVJQXFR9Q5UbgFh1tl6p2kSWUDYPACT0vZHQRmKuPQEACnyf6fpT621NmzbliQIARE3y6P2vAfdQieKFCxfa3qLqKdqlSxdbYlxZZMoohzv7iiuoqIUdR5s2bczTTz9t+2577XXVe1atAFTxQDtzhw0bZm6++WYb0FHZcSYl7uzxrE06t956qxk8eLD5/PPPba/nGTNmmN69e9vXVOXUAZy/7NmzmyNHjtjKDJF89NFHpmDBgjzFcHW/YLWPAXBhdu/ebdtu3HnnnWbmzJm217ZaGDiL/wcPHvTEU5w5c2Y7Bz5TMGTcuHFJekwAAPddf2qOBQBAtJAxDpwDZWWOHj3aDB061PbtVenJF154wfap9lIfX/Wb3LZtmw2iJkuWzGZWq2Rz9erVI2amulHatGltr1j13dZmB4cCjYcOHbJln1Ru3CsGDRpkM+KVRdygQQPbE1hZ5OpN/cwzz5yxzCpil8ql582b1/bn6tevn51gqmy++qm/+OKLNpsVSApa8FdlFVWoKFasmB07vECbp4YMGWJuu+02U6NGDdtLXGODeoxrI4oqNnz55ZfRPkzgvP3999/2eo9e48CF0XxQFZm0EbVt27a2RZMqMr300kt2A+Pzzz9v+vfv7/qnOWPGjGfceKkqFbfcckuSHhO8J5k5YI75ZNNW8lQno30IQJJT0lGTJk3s/BEAgGggMA6cB5XeVpatbj///LPNCvCKiRMnmlatWtmMamWi9uzZ09StW9dmzakP9dy5c22A3AtU2knnGxoYl+7du9uFLa/1jFW5+FBdu3a1N6/TJg9tAFDrA2XJq5+ql7LGu3XrZm/6zKrvuBYkdT9wKWks2LRpk620MW/ePLuwoWCxqLe9enKnT5/eEy9Cp06dbMnY9957z24SU3aDAgP169c3Dz/8sO21CsQyjQ8JOXXqVJIeC+BF+/fvN999953ZuXOn3XyroLiqMmnDidpxKGtcG6u9EBgHkkLg2AGzoU9JXzzZhUeuiPYhAAAA+A4r58AFUmbmk08+6YnnURnECrC98cYbNgiucvFa1FFP6s2bN9uA8ahRo4xXqGR6QufTt29fGwDxA2XIe+l1VUlxlcSXL774wlxzzTWmdevWplGjRjbbU1nzXqRMcWWyOkFxZY+vW7cu2ocFD9J7S58pBYZFm8QeffRRGxjXe07Z4qpE4SVVqlQxY8aMsdnh33zzjd0Qp0ocBMUR6xSYU+uYhG7KaAVw4YFxlRhXUFxUmUkbqBQUF20w/vfffz3/NP/111/2WrtOnTrRPhQAQBT99ttvdm0ioZuqGQIAEE1kjANnUbRoUd8ESHfs2GFSpEhhg+GiILmyAlUSUO677z5KM3uQFuqUxeKV7HGVd1y2bJn9uXPnzmbAgAF2U8eJEyds5mevXr3MlClTjNcdOHDAVkPYt29ftA8FHlz4VnA8a9asZuvWreb48eP2cybKilPJWH3m/BIMmTFjhmnRokW0DwVIkKo3TJ06NcGxQpUPAJw/9dV2xgO13hg7dqytLrJixQpTunRpe//VV1/t+adYGwPUskmbBAAA/qWKRJoXjhw5MsH5pNrBAQAQLQTGgbNQ5ptKE0fKrvZKD1WHdm4qSKqFHJWLV6BcfWMVUFRWkfpQOpkQXqbzrly5ssmZM2cwwOpmej1VMj4hWhT3Uva7Xj9l5qgcvoJ2CtDps6qsnSeeeMK2CPACfQdpETYhZ3oMuBDKMNX3xu+//24/axojVMZf7Qrkn3/+8U05/927d9tNAQTGEct0DVezZs2Ij9FbHLg4VXueffZZW0lF12dVq1Y1r732mq02ouxxVVOZPXu2559qBUG8VjEGAHD+GzPvvffeiI+ptziBcQBANBEYB85CgWIFR1V2W1Qqtl27dmbWrFk2kNyxY0fz1FNPeSJIrt7L1113nS1/px6x7777rqlRo4bNwFWfcZWnvuWWW4zXKfjfvn17z/THVYBU71kF+iNR5qeXXjuVNtbi4x133GE/o+oxrrYAsmHDBnufV15Xlek8kwwZMiTZ8cA/UqVKZbp06WLuvPNOM2TIENOyZUu76KGsUwXF1UNVFUe8stlGZdMToo04QCzT5k5dq57p2k8BPAAXRvMlzaF03akSsQqW6/O1fPlyO58qX768p55izR80R169erXdhKt5hs4zS5Ys0T40AEAMbJS65557zlhppU+fPkl6TAAAhCIwDpyFMk5VjnnNmjX2dy386z4FjdWHu3fv3qZIkSKmSZMmnnguP/jgA9OzZ0/bV1yZD8ow0iLP+PHj7WKHylB7nRaxvHaeKnm8ZcuWBAM7ZcuWNV6hTJVmzZqZHj16mIceesiWtNTnVhnkL730ks0a9woF+dXuIBJVe0hohzZwodRfW1mo6jXu9E39/PPP7Yaixx57zI6bXrB9+3bbRiRS5RhRZmBCm46AWKD37sCBA8+40YWxArg4ChQoYG8OXYPq5jW//vqrDXg482NVZdI1wcmTJ33VTgUAkHDg+0zXnwqcN23alKcPABA1BMaBc6BSsZ999pnZtGmTLSUrKhf7/vvveyYwrsza8LLb3333ne0RpP7jXqPXUjeVTteizsKFC823335rbrzxRnufH6jagbJavEITLC30K2tVJbpE2asFCxa0u5IfffRR4xX6TCb0PqW3OC4ljX36jGkTkbLFVFpdCxzFihWz36Veou+OP/74I+Jjul/VKQAA/qaNUu+88455++23beBYWdQKDGiDsa4/vZRJ3bhxY1O7dm0zb948W8FI2fK6vtaGzVatWpl8+fKZRo0aRfswAQAAACAifzSABC4SpySzExQXlcVTBrnXKQCnBR9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",
      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.patches import Patch\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "\n",
    "datasets = [\"10 M\", \"120 M\", \"200 M\", \"1 B\"]\n",
    "x = np.arange(len(datasets))\n",
    "\n",
    "# None   = hit 5 min limit (clipped bar + slash marks)\n",
    "# np.nan = crashed (X marker)\n",
    "# number = valid average\n",
    "\n",
    "load_data = {\n",
    "    \"Celldega\":   [8, 10, 14.33, 17],\n",
    "    \"Cartoscope\": [2.33, 3.33, 4.67, 2.67],\n",
    "    \"Xenium-Web\": [8.33, 15.33, 81.33, 56.33],\n",
    "    \"TissUUmaps\": [10.67, 31.67, 47.33, None], ## middle two crashed\n",
    "    \"Vitessce\":   [20.33, 43.33, 57, 71],\n",
    "}\n",
    "\n",
    "trx_enable_data = {\n",
    "    \"Celldega\":   [0, 0, 0, 0],\n",
    "    \"Cartoscope\": [101.33, None, None, None],\n",
    "    \"Xenium-Web\": [1, 20, 84, None], ## last comprises of 1 run over 5 mins and 2 crashed runs\n",
    "    \"TissUUmaps\": [0, np.nan, np.nan, None],\n",
    "    \"Vitessce\":   [0, 0, 0, 0],\n",
    "}\n",
    "\n",
    "explore_data = {\n",
    "    \"Celldega\":   [59.67, 65.67, 79.33, 83.67],\n",
    "    \"Cartoscope\": [222, None, None, None],\n",
    "    \"Xenium-Web\": [78.67, 85.33, 57.67, None], ## last comprises of 1 run over 5 mins and 2 crashed runs\n",
    "    \"TissUUmaps\": [53, np.nan, np.nan, None],\n",
    "    \"Vitessce\":   [91.33, None, None, None],\n",
    "}\n",
    "\n",
    "# Bars with a valid value but tool crashed after recording\n",
    "explore_crashed_after = {\n",
    "    (\"Xenium-Web\", 2): True,\n",
    "}\n",
    "\n",
    "size_data = {\n",
    "    \"Celldega\":        [357.9/1000, 2.16, 2.98, 11.86],\n",
    "    \"Cartoscope\":      [10.54, 38.46, 39.39, 324.06],\n",
    "    \"Xenium-Web\":      [2.28, 10.2, 9.17, 67.8],\n",
    "    \"TissUUmaps\":      [1.76, 11.89, 17.31, 175.54],\n",
    "    \"Vitessce\":        [5.18, 20.92, 22.06, 92.86],\n",
    "    \"Xenium Raw Data\": [8.27, 27.14, 22.89, 89.45],\n",
    "}\n",
    "size_labels = {\n",
    "    \"Celldega\":        [\"0.3579 GB\", \"2.16 GB\", \"2.98 GB\", \"11.86 GB\"],\n",
    "    \"Cartoscope\":      [\"10.54 GB\", \"38.46 GB\", \"39.39 GB\", \"324 GB\"],\n",
    "    \"Xenium-Web\":      [\"2.28 GB\", \"10.2 GB\", \"9.17 GB\", \"67.8 GB\"],\n",
    "    \"TissUUmaps\":      [\"1.76 GB\", \"11.89 GB\", \"17.31 GB\", \"175.54 GB\"],\n",
    "    \"Vitessce\":        [\"5.18 GB\", \"20.92 GB\", \"22.06 GB\", \"92.86 GB\"],\n",
    "    \"Xenium Raw Data\": [\"8.27 GB\", \"27.14 GB\", \"22.89 GB\", \"89.45 GB\"],\n",
    "}\n",
    "\n",
    "COLOR_MAP = {\n",
    "    \"Celldega\":        \"#2E6CB1\",\n",
    "    \"Cartoscope\":      \"#E69F00\",\n",
    "    \"Xenium-Web\":      \"#009E73\",\n",
    "    \"TissUUmaps\":      \"#D55E00\",\n",
    "    \"Vitessce\":        \"#CC79A7\",\n",
    "    \"Xenium Raw Data\": \"#F0E442\",\n",
    "}\n",
    "\n",
    "tools_time = [\"Celldega\", \"Xenium-Web\", \"Vitessce\", \"TissUUmaps\", \"Cartoscope\"]\n",
    "tools_size = sorted(size_data.keys(), key=lambda t: size_data[t][-1])\n",
    "\n",
    "TIMEOUT = 300\n",
    "bar_width_time = 0.16\n",
    "bar_width_size = 0.13\n",
    "\n",
    "n_time = len(tools_time)\n",
    "n_size = len(tools_size)\n",
    "offsets_time = (np.arange(n_time) - (n_time - 1) / 2) * bar_width_time\n",
    "offsets_size = (np.arange(n_size) - (n_size - 1) / 2) * bar_width_size\n",
    "\n",
    "\n",
    "def draw_slash_marks(ax, xpos, top, bw, n_slashes=3, slash_h=16, slash_offset=0.018):\n",
    "    spacing = bw / (n_slashes + 1)\n",
    "    for s in range(n_slashes):\n",
    "        cx = xpos - bw / 2 + spacing * (s + 1)\n",
    "        ax.plot([cx - slash_offset, cx + slash_offset],\n",
    "                [top - slash_h / 2, top + slash_h / 2],\n",
    "                color=\"white\", linewidth=5, zorder=7, solid_capstyle=\"round\")\n",
    "        ax.plot([cx - slash_offset, cx + slash_offset],\n",
    "                [top - slash_h / 2, top + slash_h / 2],\n",
    "                color=\"black\", linewidth=2.5, zorder=8, solid_capstyle=\"round\")\n",
    "\n",
    "\n",
    "def add_group_labels(ax, offsets_used, bw, line_y=-0.20, text_y=-0.23, gap=0.01):\n",
    "    group_labels = [\"Xenium: 10 M\", \"Xenium: 120 M\", \"Xenium: 200 M\", \"Atera: 1 B\"]\n",
    "    for idx, label in enumerate(group_labels):\n",
    "        left_data  = x[idx] + offsets_used[0]  - bw / 2\n",
    "        right_data = x[idx] + offsets_used[-1] + bw / 2\n",
    "        lf = ax.transAxes.inverted().transform(ax.transData.transform((left_data,  0)))[0]\n",
    "        rf = ax.transAxes.inverted().transform(ax.transData.transform((right_data, 0)))[0]\n",
    "        lf += gap\n",
    "        rf -= gap\n",
    "        ax.annotate(\"\", xy=(rf, line_y), xytext=(lf, line_y),\n",
    "                    xycoords=\"axes fraction\", textcoords=\"axes fraction\",\n",
    "                    annotation_clip=False,\n",
    "                    arrowprops=dict(arrowstyle=\"-\", color=\"gray\", lw=1.5))\n",
    "        ax.text((lf + rf) / 2, text_y, label,\n",
    "                ha=\"center\", va=\"top\", fontsize=13,\n",
    "                fontstyle=\"italic\", color=\"gray\",\n",
    "                transform=ax.transAxes)\n",
    "\n",
    "\n",
    "def set_time_xticks(ax):\n",
    "    tick_pos, tick_lbl = [], []\n",
    "    for idx in range(len(datasets)):\n",
    "        for i, tool in enumerate(tools_time):\n",
    "            tick_pos.append(x[idx] + offsets_time[i])\n",
    "            tick_lbl.append(tool)\n",
    "    ax.set_xticks(tick_pos)\n",
    "    ax.set_xticklabels(tick_lbl, rotation=40, ha=\"right\", fontsize=14)\n",
    "\n",
    "\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "# FIGURE 1: Loading + Transcript enabling time\n",
    "# Bars clipped at TIMEOUT (300s) combined load+trx\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "fig1, ax1 = plt.subplots(figsize=(20, 12))\n",
    "\n",
    "for i, tool in enumerate(tools_time):\n",
    "    color = COLOR_MAP[tool]\n",
    "    load_raw = load_data[tool]\n",
    "    trx_raw  = trx_enable_data[tool]\n",
    "\n",
    "    for idx in range(len(datasets)):\n",
    "        xpos = x[idx] + offsets_time[i]\n",
    "        lv_raw = load_raw[idx]\n",
    "        tv_raw = trx_raw[idx]\n",
    "\n",
    "        load_crashed = isinstance(lv_raw, float) and np.isnan(lv_raw)\n",
    "        load_timeout = lv_raw is None\n",
    "        lv = 0.0 if (load_crashed or load_timeout) else float(lv_raw)\n",
    "\n",
    "        if load_crashed:\n",
    "            ax1.plot(xpos, 8, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                     color=\"black\", zorder=5, linestyle=\"None\")\n",
    "            continue\n",
    "\n",
    "        if load_timeout:\n",
    "            # Loading itself hit 5 min → clip whole bar at TIMEOUT\n",
    "            ax1.bar(xpos, TIMEOUT, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            draw_slash_marks(ax1, xpos, TIMEOUT, bar_width_time)\n",
    "            continue\n",
    "\n",
    "        # Normal loading bar — but clip combined total at TIMEOUT\n",
    "        trx_crashed = isinstance(tv_raw, float) and np.isnan(tv_raw)\n",
    "        trx_timeout = tv_raw is None\n",
    "        tv = 0.0 if (trx_crashed or trx_timeout) else float(tv_raw)\n",
    "\n",
    "        combined = lv + tv\n",
    "        if combined >= TIMEOUT:\n",
    "            # Draw loading portion, then fill remainder with trx hatch up to TIMEOUT\n",
    "            load_portion = min(lv, TIMEOUT)\n",
    "            ax1.bar(xpos, load_portion, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            trx_portion = TIMEOUT - load_portion\n",
    "            if trx_portion > 0:\n",
    "                ax1.bar(xpos, trx_portion, width=bar_width_time, bottom=load_portion,\n",
    "                        color=color, edgecolor=\"white\", linewidth=0.5, alpha=0.6,\n",
    "                        hatch=\"xxxx\", zorder=3)\n",
    "            draw_slash_marks(ax1, xpos, TIMEOUT, bar_width_time)\n",
    "        else:\n",
    "            # Combined fits within TIMEOUT — draw normally\n",
    "            ax1.bar(xpos, lv, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "\n",
    "            if trx_crashed:\n",
    "                ax1.plot(xpos, lv + 10, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                         color=\"black\", zorder=5, linestyle=\"None\")\n",
    "            elif trx_timeout:\n",
    "                trx_room = TIMEOUT - lv\n",
    "                ax1.bar(xpos, trx_room, width=bar_width_time, bottom=lv,\n",
    "                        color=color, edgecolor=\"white\", linewidth=0.5, alpha=0.6,\n",
    "                        hatch=\"xxxx\", zorder=3)\n",
    "                draw_slash_marks(ax1, xpos, lv + trx_room, bar_width_time)\n",
    "            elif tv > 0:\n",
    "                ax1.bar(xpos, tv, width=bar_width_time, bottom=lv,\n",
    "                        color=color, edgecolor=\"white\", linewidth=0.5, alpha=0.6,\n",
    "                        hatch=\"xxxx\", zorder=3)\n",
    "\n",
    "ax1.set_ylim(0, 350)\n",
    "ax1.set_ylabel(\"Time (seconds)\", fontsize=18)\n",
    "ax1.tick_params(axis='y', labelsize=16)\n",
    "ax1.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "\n",
    "set_time_xticks(ax1)\n",
    "\n",
    "loading_patch = Patch(facecolor=\"gray\", edgecolor=\"white\", alpha=1.0, label=\"Loading time\")\n",
    "trx_patch     = Patch(facecolor=\"gray\", edgecolor=\"white\", alpha=0.6,\n",
    "                      hatch=\"xxxx\", label=\"Transcript enabling time\")\n",
    "exceeded_line = Line2D([0], [0], color=\"black\", linestyle=\"-\", linewidth=2,\n",
    "                       label=\"Exceeded 5 min limit (clipped)\")\n",
    "crash_marker  = Line2D([0], [0], marker=\"x\", color=\"black\", linestyle=\"None\",\n",
    "                       markersize=12, markeredgewidth=3, label=\"Run crashed\")\n",
    "\n",
    "ax1.legend(handles=[loading_patch, trx_patch, exceeded_line, crash_marker],\n",
    "           loc=\"upper left\", bbox_to_anchor=(0.01, 0.99),\n",
    "           frameon=True, fontsize=14, handlelength=2.5)\n",
    "\n",
    "fig1.canvas.draw()\n",
    "add_group_labels(ax1, offsets_time, bar_width_time)\n",
    "plt.tight_layout(rect=[0, 0.14, 1.0, 1])\n",
    "plt.savefig(\"results/plot1_load_trx.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "# FIGURE 2: Exploration time\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "fig2, ax2 = plt.subplots(figsize=(20, 12))\n",
    "\n",
    "for i, tool in enumerate(tools_time):\n",
    "    color = COLOR_MAP[tool]\n",
    "    exp_raw = explore_data[tool]\n",
    "\n",
    "    for idx in range(len(datasets)):\n",
    "        xpos = x[idx] + offsets_time[i]\n",
    "        ev_raw = exp_raw[idx]\n",
    "\n",
    "        exp_crashed = isinstance(ev_raw, float) and np.isnan(ev_raw)\n",
    "        exp_timeout = ev_raw is None\n",
    "\n",
    "        if exp_crashed:\n",
    "            ax2.plot(xpos, 12, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                     color=\"black\", zorder=5, linestyle=\"None\")\n",
    "        elif exp_timeout:\n",
    "            ax2.bar(xpos, TIMEOUT, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            draw_slash_marks(ax2, xpos, TIMEOUT, bar_width_time)\n",
    "        else:\n",
    "            ev = min(float(ev_raw), TIMEOUT)\n",
    "            ax2.bar(xpos, ev, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            if explore_crashed_after.get((tool, idx), False):\n",
    "                ax2.plot(xpos, ev + 8, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                         color=\"black\", zorder=6, linestyle=\"None\")\n",
    "\n",
    "ax2.set_ylim(0, 350)\n",
    "ax2.set_ylabel(\"Time (seconds)\", fontsize=18)\n",
    "ax2.tick_params(axis='y', labelsize=16)\n",
    "ax2.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "\n",
    "set_time_xticks(ax2)\n",
    "\n",
    "explore_patch2 = Patch(facecolor=\"gray\", edgecolor=\"white\", alpha=1.0, label=\"Exploration time\")\n",
    "exceeded_line2 = Line2D([0], [0], color=\"black\", linestyle=\"-\", linewidth=2,\n",
    "                        label=\"Exceeded 5 min limit (clipped)\")\n",
    "crash_marker2  = Line2D([0], [0], marker=\"x\", color=\"black\", linestyle=\"None\",\n",
    "                        markersize=12, markeredgewidth=3, label=\"Run crashed\")\n",
    "\n",
    "ax2.legend(handles=[explore_patch2, exceeded_line2, crash_marker2],\n",
    "           loc=\"upper left\", bbox_to_anchor=(0.01, 0.99),\n",
    "           frameon=True, fontsize=14, handlelength=2.5)\n",
    "\n",
    "fig2.canvas.draw()\n",
    "add_group_labels(ax2, offsets_time, bar_width_time)\n",
    "plt.tight_layout(rect=[0, 0.14, 1.0, 1])\n",
    "plt.savefig(\"results/plot2_explore.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "# FIGURE 3: Formatted dataset size\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "fig3, ax3 = plt.subplots(figsize=(20, 12))\n",
    "\n",
    "for i, tool in enumerate(tools_size):\n",
    "    sizes = np.array(size_data[tool], dtype=float)\n",
    "    ax3.bar(x + offsets_size[i], sizes,\n",
    "            width=bar_width_size, label=tool,\n",
    "            color=COLOR_MAP[tool],\n",
    "            edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "    for idx, (xpos, yval) in enumerate(zip(x + offsets_size[i], sizes)):\n",
    "        ax3.text(xpos, yval + 2, size_labels[tool][idx],\n",
    "                 ha=\"center\", va=\"bottom\", fontsize=9, rotation=90)\n",
    "\n",
    "ax3.set_ylim(0, 350)\n",
    "ax3.set_ylabel(\"Formatted dataset size (GB)\", fontsize=18)\n",
    "ax3.tick_params(axis='y', labelsize=16)\n",
    "ax3.yaxis.set_major_formatter(FuncFormatter(lambda y, _: f\"{y:g}\"))\n",
    "ax3.grid(axis=\"y\", linestyle=\"--\", alpha=0.3, which=\"both\", zorder=0)\n",
    "ax3.spines[\"top\"].set_visible(False)\n",
    "ax3.spines[\"right\"].set_visible(False)\n",
    "\n",
    "tick_pos_size, tick_lbl_size = [], []\n",
    "for idx in range(len(datasets)):\n",
    "    for i, tool in enumerate(tools_size):\n",
    "        tick_pos_size.append(x[idx] + offsets_size[i])\n",
    "        tick_lbl_size.append(tool)\n",
    "ax3.set_xticks(tick_pos_size)\n",
    "ax3.set_xticklabels(tick_lbl_size, rotation=40, ha=\"right\", fontsize=14)\n",
    "\n",
    "fig3.canvas.draw()\n",
    "add_group_labels(ax3, offsets_size, bar_width_size)\n",
    "plt.tight_layout(rect=[0, 0.14, 1.0, 1])\n",
    "plt.savefig(\"results/plot3_size.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59bcc2cc-db81-4d5c-838c-6bfe11ed1379",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Supplementary Figure 2.C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "183822c0-e816-4abf-bb16-b6ee2a63823c",
   "metadata": {},
   "outputs": [
    {
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stfIVgMjZs2ftjz/dKKKjBLp27So//vijdVDQnc/a9ihfvnzWKl3bp+/evdv+8NMNJbrw1QUwAAAAAABAUKMxD61m1epW3fivBQC+jRkzxrpLarJck31x4sRx2b0CgYl2mEyePLncuXNHvvvuOxk6dKi1T+/cubMznvjll19aUlzj9H///bfkyZPHYvijRo2iayvwgQT7UP8QgKBHk3QqYcKE/pLiSnepKd2pVrNmTZufDHiyZ8+eWVJ8/PjxlhTXxasmxZXOAtLNI7qI1bbpWkmu7cR0hri2F9PPW+PGjUmKAwAAAACAIEurvzUpHilSJH9JcVWlShX7evHiRalUqZJdC3iyV69e2diB6dOnW1K8WbNmMmTIEDv3ww8/WFxe44lZsmSRTZs2SYwYMWyDSbZs2SwprjH6Bg0auPplAG6DxDjgweLHj2+/aLVa/Pr16/7O6wwgVbp0aWsbPXz4cBfcJRA46AJVq74LFSokx48ft/EDvmf76E5obSMWOnRomwX0xRdfSOzYseWnn36yOVvffPON7QQFAAAAAAAIqrRaXKtedSbyiRMn/J2/du2aM564fft26d27twvuEgg8ypYta+3Q9+/fb5+dAQMGiJeXl52LEiWKzJ8/XyJGjGgdJ3X8gHZZ0K4LDx48sKS4zhoPFoxUHvCh8GkCPJj+Qm3atKnt3GzSpIkl/hw0kde6dWt7rAlxTaBrZSy7POGptKWRzg4/ffq0zJw50+b8vEkrxffs2SMVK1a09kj6nJIlS9q8rZEjR7KIBQAAAAAAQZ6Ok1PaGU9jiA4aW9RqWPXbb79J4sSJ7ev9+/dddq+Aq1WuXNk2jGgHygwZMviLD2bNmtWS5rVq1bINJz4+PlaYo+MYNQYZMmRIl9074I6YMQ54AN2d2bdvX/sFq/OOq1WrZovUECFCWPsj3bGmyTxt96y70R49eiS///67tVAvUKCArFu3Tr766iuZMmWKbNiwwWYnA56qfv36tpBNmzatHDx40LnDEwAAAAAAwF0cOHBA+vTpY1WsESJEsNFwWkQTJkwYS9wVK1ZM1qxZY+2fdV6yHhs8eLDFH9OnT29fW7RoYSPm5syZY23VAU+lIxg1Pq8dJ7XoRuPyAFyDxDjg5gYNGmSLUF2cBg8e3H7p6k7O3LlzW3v08OHDW2WrVsJu3brVz3N1V+f69evl888/l1KlSsmyZctk7ty5Vg0LeCrdTFKkSBGb+aPtwNq2bevqWwIAAAAAAPhgJk6caMUz2jlSq1t1bNzjx49tbJwmw6NHjy4PHz60SljtkuebjpXTIptUqVJJ3bp1ZdKkSdZFT0fMAZ5KY/O6uWTRokXSsmVL6devn6tvCfBYJMYBN6bzSTSJrRWtuiutXbt2lgjXpPiOHTukePHisnTpUlvgvnr1SqZPny5LliyxhW2OHDnkhx9+sPkmmzdvtspx/QV+5swZSZAggatfGvDR6c7mbdu2SahQoax9UcKECZ3nbt26ZW2Ozp49a58znRUEAAAAAAAQ1G3cuFEKFixocUAdvditWzfrQKkzw7VoRmOGWkij8ZLXr19bu2f9786dO1Y9rvFETZxrl71s2bJZgc6+fftsdjLg7v7++2/7DGm8PX/+/DZT3EFj7hqX124M2o2yXr16Lr1XwFORGAeCeOJu165db91xqb94T5w4IUOGDPEzS3zs2LGWLNdq1zZt2rz139fFrf6S/umnn2wWkLZFGjp06Ed8RYDraQeFBg0a2A5OB+22oJ0XtIWYYw6QLnT1j0Gdn6XdFnTXNAAAAAAAQGB2/PhxK5TReF9ANNahBTVdunSRzp07W4Jc44eOCld93KtXL39zkn2bNWuWxSI1xlK1alWbkwy4swcPHljcferUqc5jGn/Xzgs6YsAxJ/z8+fNWbKMbSbT7Qp48eVx414BnIjEOBFGatP7yyy9th9mCBQukTJkyfs7rL1mt7NadmbqYvX37ts3y0Rnh4cKFs3nh5cqVk5o1a8rw4cMlcuTIfp6vi11NqJ87d86+1xnj48aNE29v70/6OoFPSTeA5MyZUw4fPmyfE21xpOMHFi5caJ8h3YSi7b8ctF2YjhmIGzeubVLRdmEAAAAAAACBlY6H04TchAkTrNW5b1rRqt0jkyVLZgUBT548sdihFg9oYk9jIlrlqv9pwU2cOHH8PH/06NHy22+/ycmTJ+177bA3Y8YMm0sOuKtnz55ZdbjG4LWTgsYTtWvr4sWL5dq1axaTnz17tiXKlV6n3Vk19qjxRB1nCuDTefu2LgCBmv4i1YVlpEiRbIGq7Yne/IWsdJ6P7gTNnj27JcU/++wza42uM8W1dbr+Gx07dvT371evXt3mB5UsWdJ2keo8IJLicAdz5syx3c4B+eWXXywpnjRpUvsDcPLkybYhRDegpEyZUkaNGiVz5851Xl+sWDH5/fff5fr167Jnz55P+CoAAAAAAADenybEdYO/bv7XGKFv2m1Si3G0C+Xly5et7bMmxbU1uibTNSG+atUqm0GunfXepCMdw4YNa8l3rRLXQgOS4nAHWpj2/PnzAM/9+uuvluzWz5XG6DXmrptE/vrrL8mcObPFEjWm6KBxeo033rt3z8Y4Avi0qBgHgrh169ZZcs5RsRorViw7rjPDY8aMaW2NNAmo1a4650cXpLqbU6/VeUGPHj2yx3oOcHfDhg2zVl6tWrWSvn37+juvM7P0s6KLWe224NvevXttMaudGt5Mgp85c0YSJUr00e8fAAAAAADgv9IYR968eS2JvXPnTj8Vq1osoFWuESJEkCtXrljRzZIlS+waLSLQ1s+3bt2S5cuXS/HixflhwO1ptbeOBNCNITp29G3jTPVzop0lfTt9+rSd12K1s2fP+jlHPBFwDSrGgSBOk9s691tbp2sV+NOnT/3MRNZZPproq1KlimzcuNGS4vrLXJPpmhRv1qwZSXF4DF3AZsqUyUYF6M5M33QziX5WtHW6zvp5kybEo0aNKvv27fO3Q5SkOAAAAAAACCo0xqHdITXBreMZdbScQ+vWra2luibFixYtKtu3b7ek+IoVK6z9sz6nVq1aJMXhMTTmrq3StduCjgp4k8bflXZYeJN+dpIkSWLjSvUz5RvxRMA1SIwDQZgm8rRiXOeRaMtzrXKtX7++83ybNm0sca4uXLhgLdO1ClZ3uN29e9cWsQMGDHDhKwA+Ld0JrS3AtMNC48aNbbOIg24m0V3Q2jbsyJEj/p6rLcTu3LljIwUcM4EAAAAAAACCEm2Vri3UdX64xgg1BlKtWjWLMyptsa4zkZVWjnfv3t2qy0uUKGHfa0VsQFWzgLvSIhpth67dFNq1a2cdWX1Lmzatfd2/f7+/5+omE02KO/4dAK5HK3UgiNJfqDq3R6tX39S1a1fp1KmTPX78+LG1jR47dqyzylVbt2iSXBe6gCfSVui+W4bpzk01ZMgQ+eGHHyRfvnzWEswxB0v/ONTPmybVtU2YngMAAAAAAAhKrl+/LpUrV/Y3W1xpPOSPP/6wx1o00KFDB4uTaAJd6chGLcJp3ry5jW4EPM2xY8dsPrh+PrZs2SIZMmSw4zNmzJAaNWpIxowZZf369RIpUiTnJhQtYtNKcx3PuHv3bhe/AgCKxDgQiD179kxChQoV4HH9xXv06FGrcB00aJC1h9ZFbZMmTWz3pv5C1l2fDlrpqr+8dT5Q6tSpqXiFx9ORArojOkWKFNZtQRetPj4+UqRIEevE8MUXX1hVuS5iR44cKQcOHJDw4cNbIl0/QwAAAAAAAEElnqgxj1y5clkMRFs4Dxw4UHLmzGnzxjWeqPOOhw0bZo8dHjx4YBXlWjiQJk0a67YHeLI1a9ZY9wQdV7pr1y6JHTu2HdcNJ1pVrnHGpk2b2mdQE+I6ikAfb9iwwZLqAFyPxDgQCGl16nfffSenT5+2ylRt3fxmQk+T3vHixbOKcd2x6aDJb03o6c5NbROdJUsWF7wCIGjQdmDaXUGT4fpZ0z/w9I8+rQ7Xha5v2mlBP3ssYgEAAAAAQGCkbZ7Xrl1rMUFHFzwHrWTVkYtRokSxeGLChAmd5y5dumSJ70ePHll8pHDhwi64eyBoGD58uMXus2bNap+10KFDy9OnT21s6bx58/xcGz16dJk+fTqfKSAQoecJEAhpck5boGti7scff/R3XivFlf6y9Z0UV7orrWbNmtbmqFy5cnLx4sVPdt9AUKMjBfTzsnr1amnWrJkd064Kq1atkjlz5sjXX38t1atXt64MukOapDgAAAAAAAisNB6o7Zrr1atnHfACiidWqFDBT1JcafGNjlx8+fKlVKlSxQpvAARMuyro6AGtGNfYodLkuFaML126VBo2bGhdKn/77Tf7LLHRBAhc/JahAgg0xowZYxXjugNN26XrL1uHWLFi2VddrAZEk+UxYsSQK1euSJkyZWTr1q02SxnwRLpjs2/fvrJw4UKbAaRtwlq2bClJkya182PHjrXP2tChQ+2zpu2OvLy8pFKlSvYfAAAAAABAUNC/f385fvy4zJo1S1KmTCldu3Z9r3hitGjRbBxj6dKlbZRc1KhRP9m9A4GJfk7++OMPmTlzphWwaVfWFi1aSNq0ae3877//LidOnLBxpvpZ69y5sx0vWbKk/Qcg8KKVOhBIaHX4+PHjZdKkSc55PdevX7eWLFr1vWTJEilevLizvVHixIltJrLu9vS9SNWdoTpvPH78+PYL+/79+zYziBlA8EQPHz60XZn6x5xvulFk6tSpUr58efv+2rVr9lnTz9ayZcukaNGiLrpjAAAAAACAd6PV4b169bJWzVqxqjQWqEUBhw8flmnTpkmNGjWcxzVeqCMc//77b3vsOwmYO3duef78udSuXVv+/PNPK9oJaFY54O70c6CbQ7TDpG8hQ4aUUaNGSd26dZ2fqRw5cliXSU2Qa5U4gMCPVupAIKFJcV2stmrVys9OTU2IaxJPf7HqL1lHeyO97saNG1KsWDE5c+aMHdekns5G1mR5unTppGfPnjJ48GCS4vBY+sehJsUTJUpkiXD9w+7XX3+1P/j0M+VImOuu6cWLF9v8rapVq9ofiAAAAAAAAIGZJuMWLFgg9evXdx6LGDGixRO1m6Qe37Fjh/N4ly5dbI64xhMdsY+bN2/amDmNkWg8UatiJ0+eTFIcHmvIkCGWFI8TJ451mty/f79Vj4cIEcI+UytWrHB+pjSeqHPEdXyBtlYHEPhRMQ4EElrpnS9fPtvpOXLkSJvr46CzScqWLWvzf3SRqr9sNbGnCbz58+db22dNll+9etWO6y/tPXv2SNy4cV36mgBX0U0m2lVBRxBoNbguTGPHju08r38g6piBNGnSyMGDByVYsGDO47rrU2cC5c+fnx8gAAAAAAAItLT6u1SpUrJy5Uprm96pUyfnOR2tWKhQIYkcObLFRT7//HObO67zj8eNG2fXfPbZZxY30dFzep3GHZMnT+7CVwS4jsbgvb29rfuqxuj1c6PxRd+fqbx581ocXtuoOzoqbN682WL3EyZMkHLlyrnwFQB4FyTGgUBEZ4JrO2dNcOuCtmDBgs5zOrdEd2zmyZPH2q5r6xYfHx/p16+fzU/W3Z2qQIEC1tLFMT8Z8DTnz5+3P+L0D7pw4cJJgwYNpH379v6u08/X+vXrZdu2bdb2yEHbIOmOTwAAAAAAgMDu3r17FtfQDpJaQa6FNA5a+V2nTh1Jnz69JfXChw9vx4cNG2adJi9fvmzfZ8uWzeKJeh3giW7fvm0dJx0bRrSrwoABA/xdp5+v2bNny6JFi6zoxoF4IhB00EodCES00lt/qepus8qVK8vx48ed53766Sdp1KiR7UBzVJNrlevPP/9sOztPnz5tM8nXrVtHUhweSXc3K90BrV0XHJ+Lt83DcmweOXbsmJ/jJMUBAAAAAEBQESlSJOuAFy1aNGvnrJWuDl999ZW0a9fOuuVpu3QtslHfffedXLx4Uc6ePWuFOtpunaQ4PDmeGDVqVJkyZYo8fPjQxpkSTwTcF4lxIJDJmDGj7ea8e/eulC5dWu7cueM8N3ToUKsInzhxos1JdtAEue5o09lBgCe6dOmSlChRwvm9tkPXTSNq0qRJ1lrMt2fPnlm1uNI/HAEAAAAAAIIqbfc8b948i39oK2dNejtoZXjFihVtFnKbNm2cx3U0Y4IECfyMngM8ya1bt6Rw4cLOuKFWgPfp08cea/cFHX3qm163atUqe0w8EQi6SIwDgVCFChWkV69eNqtEK8d1brgKESKEzJkzR5IlS2a7PRcsWODqWwUChY4dO1o3Bd969+5tfwzqrmhNlD99+tTZGql69epy8uRJiRUrls3bAgAAAAAACMp0/KJ20NMKcE3wPXr0yJkA1yKcTJky2UhGx3xxwNNp4dmmTZvk8ePHzmOtW7eW+vXrWzeFKlWqWAW5evDggR3fu3evdZvUgjYAQROJcSAQeLOaVbVt29aSedoavWnTps7j2tZF2yPp/OQmTZr427kGeCJtb/T8+XM/nyXtpDB16lTJkCGDfdUd0DpzS7sr6KaSCBEiyMyZMyVs2LAuvXcAAAAAAIAPEU/UVuraQW///v1Su3Ztef36tR3X2IeOb4wbN66Na9SiAcDTOdql+06MqxEjRkjevHll6dKlNvpU44naXUG7UoYOHdo2mtC5FQi6SIwDLjR+/HhJnTq1eHt7S/To0eXHH3+U+/fvO8+PGjVKcufObV8HDhzoPJ48eXKZP3++rF69WsKECeOiuwcCD0dy27Eb2iFcuHD2h58mxe/du2c7OrXlurYO++uvvyRfvnwuumMAAAAAAID3N3v2bBvFqJ0ltXCmYcOGcvPmTX8d9LQoQDtOOsSLF89iJNoKWgtvAE/3tniifrZ0NEGSJEmsYjxkyJBSrFgx21SinSnLli3rojsG8CF4vXZsGwPwyfj4+EijRo2crYs+++wz+0V8/PhxSZMmjWzYsMES5UoXtlmzZpXz58/b4rVkyZL8pOARLl++LNu2bbNxAr5pS3Rtm545c2aJEiWKs5V6jx49rF1YQLOxdu3aZUlw/Zzt3LlTkiZN+sleBwAAAAAAwIfQqlUr6d+/vz3W8XA65/jIkSOSMGFCawkdP358Z6JPi220cnzChAnWlRLwlLnhy5cvt44Jvumo0vXr19umEkfcfdCgQdK8eXM5dOiQpE2b1t+/9ffff1u1uD53y5Yt1pUSQNBHxTjgArqA1aS4Jum09cqFCxdst9kXX3whhw8flooVKzpbHekv6sWLF1vlq85F1msBd6fzerJkySI1atSQjRs3Oo/rRpH8+fNL0aJF7Y+/lClT2h93u3fvtvOOuT9v0s0l+ofgnTt3bAbQ3bt3P9lrAQAAAAAA+BCdJzWmqNWsQ4cOteIAjSdqIYDOQy5VqpS8ePHCXwe9b775xq4D3N3Ro0clW7ZsUqdOHeuY4KDzwbWDpMYTtQW6VoLXqlXLitP+KZ6YKlUqmTVrlhXplClTxj5zAII+KsaBj0B/mU6bNk1OnDghv/76q806dtA5yLoo1cSctkIvVKiQJfsqVKhgO8907vH06dPtF7UudB1WrFhhuzx19jjgzubOnWsLWJ3vU6BAAZkzZ46fFl+nT5+WHTt2OP87cOCAfa4cf/hpJXn27NltR6d+1R3UDl27dpUuXbpI4cKFbfeojjEAAAAAAABwNU2+zZw504oF+vXrZ+2bfdOq8HPnzlmirkqVKpbsq1atmsU3dFayFuHocd/xRO2gpy2he/Xq5Sc+CbgbjbNXrVrVYu4aG9SNITof3EG7sWocUTtJ6td9+/bZZ07p3PAvv/zS4oiOmKKOHnDQjSjff/+9FfFoAQ+jTYGgjcQ48BF2b7Zu3dratjjm+vhOZmsST9uulC9f3uaEa0sWrWDVZN/nn38uS5YssTbPmhDUnW0BtYUG3JX+ofbLL79YxwTd0TxkyBA/f9AF5NmzZ9KiRQsZNmyYbSjR9ke+d3CmTp1ali1bJgkSJLDvtQp9xowZ0qRJE3sOAAAAAACAK2lRQLNmzWysnGrZsqUlxx0uXbpkoxi1PbqOl9MEucYT//rrL4kZM6bFELVbnnbZ0455WhELeAqN7+nnR1uea3JcPwP/lrzW7grdunWz0YwFCxa0AjffnVoTJ05sXVw1rqg0Ma4Jcv33dQMLgKCLUjngI80N18Vp+/btbYeZb15eXvZVE96rVq2yX6b37t2z3Wi6iNXqVv2lrLvXfv/9d6s4B9ydJrcbNmwoU6ZMkeDBg0vfvn3lp59+eqfn6q5oR9J7xIgRkihRIlvI6u5P3Rmtu6cd5x2bV/QPTf3MAQAAAAAAuJIW2DiS4Jqg69ChgxXMvC2euH37diu4uX79uqRLl86Sdxr30OSgdqPUooOxY8e65LUAn9KrV69sRrgW1qiOHTtat0jH5+WfaCGOxhBVnz59rBpcC20cFeXFihVzJsUd88jPnDkjOXPm/IivCMCnQMU48IFoUnzMmDHWCl0Xn9q6KCC6c03buGgi8MmTJ/Z9zZo1LaGuCT6tZNXv9fHx48clfvz4/Izg1vQPOR0lsG3bNokYMaJ9BnTuj29aQa5/GBYvXlzy5s3r799wtDTSmVn6R+G/0X/vXRbJAAAAAAAAH0u7du0sKaetnAcPHmxFA2+TLFkyqxzXmIa2gNaZ4jqOUWOROoKxbNmylijU2EiaNGn4ocGtaaGZFsOsXLnSPj9aCFO9enV/12nRmc4K18/Hm7TyW5+zbt06f5tRAkI8EXAPDBYBPgBtf65JcW3RovNM3pYUVzrTWBe9OgdIk+Ka7Js6daol6Tp37iy1a9e2X7IDBw4kKQ6PoK2Lzp49a4+//fZbf0nxR48eScWKFW0sgS5WdUPJm3S2uOPad0FSHAAAAAAAuJIWCGjSTmOFCxcu/MekuKMaVmMimhTX8XA6Q1ljkf3797cKco2vdO/enaQ4PIJuAjl16pRzbOKbSfHnz59LvXr1bMTpV199Jbdv3/b3bxBPBDwTiXHgA3C0O9LFZ7Zs2f71em3xUrlyZXusSfFy5cpJ3LhxrYW6JsV1UawJQsATxIsXz/4AdPwxpy3AHLQlus7P0jEDUaNGtc9LQDOC3nchCwAAAAAA4EoDBgywOGCrVq2kaNGi/3p9nTp15JtvvrHHGkfRIoLPP//cnq+dKdu0aWNjHQFPoHFCLVaLHDmyVYtPnDjRee7mzZtSqFAhOxY+fHiZPHmyXf8m4omAZ6KVOvAf6W5M/QWrX+/cuSORIkV6p+dptbjOUdbKcG0lrXOV8+fPL126dLFEIOBpZs+ebS2QdFG6detW2wGtm0auXr0qKVKksMVu0qRJA3zu0qVL7Q9C3W395ZdffvJ7BwAAAAAAeB8xYsSwBN7p06eds47/jSbSdZ6yFtVoW/VgwYJJjhw5rJpcZyIDnmbNmjXWfVI/C/pYE+BlypSxeeC6cUQ7K3zxxRcBPlfniefKlcvasWsiHYBnIDEOfIB5JrozTf/TxPj/4saNG5ZcD6gSFvAkPXr0sD/mYseOLXfv3rXkeOHChS1prp8x3/QPR22DlDlzZjlw4ICNJ2BTCQAAAAAACApChAhhhTP6nxbMvK9bt27ZbGVH1SvgqUaMGGHjBaJFi2bFa/fv37eurtpZIVasWH6uvXLlipw8eVLy5MljscWjR49KyZIlXXbvAD49EuPAf+Tj42MJu4cPH9ov1jd/2QZE20FrMlxbqgPwq1atWjJt2jR73KhRIxk2bJjN2/Jt8+bNViGufzju3r1b4sePz9sIAAAAAACCjAQJEsj58+fl8OHDkjp16n+9Xqtat2zZYqMcAfjVrFkz+eOPP+xxlSpVZNKkSbZxxLc///xTypYta8U127dvl1SpUvE2Ah6IGePAf/0QBQsmRYoUsVZGo0aN+tfrdQZy27ZtpXXr1nLt2jXef+AN48aNszZgjs/Lm0lxnRukVeTabkyrxd+sJAcAAAAAAAjsihcvbl9Hjhz5r9dqFWyLFi2s096xY8c+wd0BQcuAAQO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      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.patches import Patch\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "\n",
    "datasets = [\"200 M\", \"1 B\"]\n",
    "x = np.arange(len(datasets))\n",
    "\n",
    "load_data = {\n",
    "    \"Celldega\":   [14.33, 17],\n",
    "    \"Allen Institute Spatial Explorer\": [3.67, 8],\n",
    "}\n",
    "\n",
    "trx_enable_data = {\n",
    "    \"Celldega\":   [0, 0],\n",
    "    \"Allen Institute Spatial Explorer\": [187.33, 227],\n",
    "}\n",
    "\n",
    "explore_data = {\n",
    "    \"Celldega\":   [79.33, 83.67],\n",
    "    \"Allen Institute Spatial Explorer\": [126.67, 152.67],\n",
    "}\n",
    "\n",
    "COLOR_MAP = {\n",
    "    \"Celldega\":                         \"#2E6CB1\",\n",
    "    \"Allen Institute Spatial Explorer\": \"#E69F00\",\n",
    "}\n",
    "\n",
    "tools_time = [\"Celldega\", \"Allen Institute Spatial Explorer\"]\n",
    "\n",
    "TIMEOUT = 300\n",
    "bar_width_time = 0.16\n",
    "\n",
    "n_time = len(tools_time)\n",
    "offsets_time = (np.arange(n_time) - (n_time - 1) / 2) * bar_width_time\n",
    "\n",
    "\n",
    "def draw_slash_marks(ax, xpos, top, bw, n_slashes=3, slash_h=16, slash_offset=0.018):\n",
    "    spacing = bw / (n_slashes + 1)\n",
    "    for s in range(n_slashes):\n",
    "        cx = xpos - bw / 2 + spacing * (s + 1)\n",
    "        ax.plot([cx - slash_offset, cx + slash_offset],\n",
    "                [top - slash_h / 2, top + slash_h / 2],\n",
    "                color=\"white\", linewidth=5, zorder=7, solid_capstyle=\"round\")\n",
    "        ax.plot([cx - slash_offset, cx + slash_offset],\n",
    "                [top - slash_h / 2, top + slash_h / 2],\n",
    "                color=\"black\", linewidth=2.5, zorder=8, solid_capstyle=\"round\")\n",
    "\n",
    "\n",
    "def add_group_labels(ax, offsets_used, bw, line_y=-0.40, text_y=-0.43, gap=0.01):\n",
    "    group_labels = [\"200 M\", \"1 B\"]\n",
    "    for idx, label in enumerate(group_labels):\n",
    "        left_data  = x[idx] + offsets_used[0]  - bw / 2\n",
    "        right_data = x[idx] + offsets_used[-1] + bw / 2\n",
    "        lf = ax.transAxes.inverted().transform(ax.transData.transform((left_data,  0)))[0]\n",
    "        rf = ax.transAxes.inverted().transform(ax.transData.transform((right_data, 0)))[0]\n",
    "        lf += gap\n",
    "        rf -= gap\n",
    "        ax.annotate(\"\", xy=(rf, line_y), xytext=(lf, line_y),\n",
    "                    xycoords=\"axes fraction\", textcoords=\"axes fraction\",\n",
    "                    annotation_clip=False,\n",
    "                    arrowprops=dict(arrowstyle=\"-\", color=\"gray\", lw=1.5))\n",
    "        ax.text((lf + rf) / 2, text_y, label,\n",
    "                ha=\"center\", va=\"top\", fontsize=13,\n",
    "                fontstyle=\"italic\", color=\"gray\",\n",
    "                transform=ax.transAxes)\n",
    "\n",
    "\n",
    "def set_time_xticks(ax):\n",
    "    tick_pos, tick_lbl = [], []\n",
    "    for idx in range(len(datasets)):\n",
    "        for i, tool in enumerate(tools_time):\n",
    "            tick_pos.append(x[idx] + offsets_time[i])\n",
    "            tick_lbl.append(tool)\n",
    "    ax.set_xticks(tick_pos)\n",
    "    ax.set_xticklabels(tick_lbl, rotation=40, ha=\"right\", fontsize=14)\n",
    "\n",
    "\n",
    "def make_legend(ax, handles):\n",
    "    ax.legend(handles=handles, loc=\"upper left\", bbox_to_anchor=(0.01, 0.99),\n",
    "              frameon=True, fontsize=14, handlelength=2.5)\n",
    "\n",
    "\n",
    "exceeded_line = Line2D([0], [0], color=\"black\", linestyle=\"-\", linewidth=2,\n",
    "                       label=\"Exceeded 5 min limit (clipped)\")\n",
    "crash_marker  = Line2D([0], [0], marker=\"x\", color=\"black\", linestyle=\"None\",\n",
    "                       markersize=12, markeredgewidth=3, label=\"Run crashed\")\n",
    "\n",
    "\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "# FIGURE 1: Loading time\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "fig1, ax1 = plt.subplots(figsize=(20, 12))\n",
    "\n",
    "for i, tool in enumerate(tools_time):\n",
    "    color = COLOR_MAP[tool]\n",
    "    for idx in range(len(datasets)):\n",
    "        xpos = x[idx] + offsets_time[i]\n",
    "        lv_raw = load_data[tool][idx]\n",
    "\n",
    "        load_crashed = isinstance(lv_raw, float) and np.isnan(lv_raw)\n",
    "        load_timeout = lv_raw is None\n",
    "\n",
    "        if load_crashed:\n",
    "            ax1.plot(xpos, 8, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                     color=\"black\", zorder=5, linestyle=\"None\")\n",
    "        elif load_timeout:\n",
    "            ax1.bar(xpos, TIMEOUT, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            draw_slash_marks(ax1, xpos, TIMEOUT, bar_width_time)\n",
    "        else:\n",
    "            lv = min(float(lv_raw), TIMEOUT)\n",
    "            ax1.bar(xpos, lv, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "\n",
    "ax1.set_ylim(0, 260)\n",
    "ax1.set_ylabel(\"Time (seconds)\", fontsize=18)\n",
    "ax1.tick_params(axis='y', labelsize=16)\n",
    "ax1.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "set_time_xticks(ax1)\n",
    "\n",
    "loading_patch = Patch(facecolor=\"gray\", edgecolor=\"white\", alpha=1.0, label=\"Loading time\")\n",
    "make_legend(ax1, [loading_patch, exceeded_line, crash_marker])\n",
    "\n",
    "fig1.canvas.draw()\n",
    "add_group_labels(ax1, offsets_time, bar_width_time)\n",
    "plt.tight_layout(rect=[0, 0.14, 1.0, 1])\n",
    "plt.savefig(\"results/allen_plot1_load.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "# FIGURE 2: Transcript enabling time\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "fig2, ax2 = plt.subplots(figsize=(20, 12))\n",
    "\n",
    "for i, tool in enumerate(tools_time):\n",
    "    color = COLOR_MAP[tool]\n",
    "    for idx in range(len(datasets)):\n",
    "        xpos = x[idx] + offsets_time[i]\n",
    "        tv_raw = trx_enable_data[tool][idx]\n",
    "\n",
    "        trx_crashed = isinstance(tv_raw, float) and np.isnan(tv_raw)\n",
    "        trx_timeout = tv_raw is None\n",
    "\n",
    "        if trx_crashed:\n",
    "            ax2.plot(xpos, 8, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                     color=\"black\", zorder=5, linestyle=\"None\")\n",
    "        elif trx_timeout:\n",
    "            ax2.bar(xpos, TIMEOUT, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            draw_slash_marks(ax2, xpos, TIMEOUT, bar_width_time)\n",
    "        else:\n",
    "            tv = min(float(tv_raw), TIMEOUT)\n",
    "            ax2.bar(xpos, tv, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "\n",
    "ax2.set_ylim(0, 260)\n",
    "ax2.set_ylabel(\"Time (seconds)\", fontsize=18)\n",
    "ax2.tick_params(axis='y', labelsize=16)\n",
    "ax2.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "set_time_xticks(ax2)\n",
    "\n",
    "trx_patch = Patch(facecolor=\"gray\", edgecolor=\"white\", alpha=1.0, label=\"Transcript enabling time\")\n",
    "make_legend(ax2, [trx_patch, exceeded_line, crash_marker])\n",
    "\n",
    "fig2.canvas.draw()\n",
    "add_group_labels(ax2, offsets_time, bar_width_time)\n",
    "plt.tight_layout(rect=[0, 0.14, 1.0, 1])\n",
    "plt.savefig(\"results/allen_plot2_trx.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "# FIGURE 3: Exploration time\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "fig3, ax3 = plt.subplots(figsize=(20, 12))\n",
    "\n",
    "for i, tool in enumerate(tools_time):\n",
    "    color = COLOR_MAP[tool]\n",
    "    for idx in range(len(datasets)):\n",
    "        xpos = x[idx] + offsets_time[i]\n",
    "        ev_raw = explore_data[tool][idx]\n",
    "        exp_crashed = isinstance(ev_raw, float) and np.isnan(ev_raw)\n",
    "        exp_timeout = ev_raw is None\n",
    "\n",
    "        if exp_crashed:\n",
    "            ax3.plot(xpos, 12, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                     color=\"black\", zorder=5, linestyle=\"None\")\n",
    "        elif exp_timeout:\n",
    "            ax3.bar(xpos, TIMEOUT, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            draw_slash_marks(ax3, xpos, TIMEOUT, bar_width_time)\n",
    "            if tool == \"Allen Institute Spatial Explorer\":\n",
    "                ax3.text(xpos, TIMEOUT + 5, \"*\", ha=\"center\", va=\"bottom\",\n",
    "                         fontsize=18, fontweight=\"bold\", color=\"black\", zorder=9)\n",
    "        else:\n",
    "            ev = min(float(ev_raw), TIMEOUT)\n",
    "            ax3.bar(xpos, ev, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            if tool == \"Allen Institute Spatial Explorer\":\n",
    "                ax3.text(xpos, ev + 5, \"*\", ha=\"center\", va=\"bottom\",\n",
    "                         fontsize=18, fontweight=\"bold\", color=\"black\", zorder=9)\n",
    "\n",
    "ax3.set_ylim(0, 260)\n",
    "ax3.set_ylabel(\"Time (seconds)\", fontsize=18)\n",
    "ax3.tick_params(axis='y', labelsize=16)\n",
    "ax3.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "set_time_xticks(ax3)\n",
    "\n",
    "explore_patch = Patch(facecolor=\"gray\", edgecolor=\"white\", alpha=1.0, label=\"Exploration time\")\n",
    "make_legend(ax3, [explore_patch, exceeded_line, crash_marker])\n",
    "\n",
    "fig3.canvas.draw()\n",
    "add_group_labels(ax3, offsets_time, bar_width_time)\n",
    "plt.tight_layout(rect=[0, 0.14, 1.0, 1])\n",
    "plt.savefig(\"results/allen_plot3_explore.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6c8fc3d-f665-40d7-9f04-32506c76f2b8",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Supplementary Figure 2.B"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4c8aadcb-77da-4911-88c0-4b9129fa191b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.patches import Patch\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "\n",
    "datasets = [\"10 M\", \"120 M\", \"200 M\", \"1 B\"]\n",
    "x = np.arange(len(datasets))\n",
    "\n",
    "# None   = hit 5 min limit (clipped bar + slash marks)\n",
    "# np.nan = crashed (X marker)\n",
    "# number = valid average\n",
    "\n",
    "load_data = {\n",
    "    \"Celldega\":   [8, 10, 14.33, 17],\n",
    "    \"Cartoscope\": [2.33, 3.33, 4.67, 2.67],\n",
    "    \"Xenium-Web\": [8.33, 15.33, 81.33, 56.33],\n",
    "    \"TissUUmaps\": [10.67, 31.67, 47.33, None],\n",
    "    \"Vitessce\":   [20.33, 43.33, 57, 71],\n",
    "}\n",
    "\n",
    "trx_enable_data = {\n",
    "    \"Celldega\":   [0, 0, 0, 0],\n",
    "    \"Cartoscope\": [101.33, None, None, None],\n",
    "    \"Xenium-Web\": [1, 20, 84, None],\n",
    "    \"TissUUmaps\": [0, np.nan, np.nan, None],\n",
    "    \"Vitessce\":   [0, 0, 0, 0],\n",
    "}\n",
    "\n",
    "explore_data = {\n",
    "    \"Celldega\":   [59.67, 65.67, 79.33, 83.67],\n",
    "    \"Cartoscope\": [222, None, None, None],\n",
    "    \"Xenium-Web\": [78.67, 85.33, 57.67, None],\n",
    "    \"TissUUmaps\": [53, np.nan, np.nan, None],\n",
    "    \"Vitessce\":   [91.33, None, None, None],\n",
    "}\n",
    "\n",
    "explore_crashed_after = {\n",
    "    (\"Xenium-Web\", 2): True,\n",
    "}\n",
    "\n",
    "size_data = {\n",
    "    \"Celldega\":        [357.9/1000, 2.16, 2.98, 11.86],\n",
    "    \"Cartoscope\":      [10.54, 38.46, 39.39, 324.06],\n",
    "    \"Xenium-Web\":      [2.28, 10.2, 9.17, 67.8],\n",
    "    \"TissUUmaps\":      [1.76, 11.89, 17.31, 175.54],\n",
    "    \"Vitessce\":        [5.18, 20.92, 22.06, 92.86],\n",
    "    \"Xenium Raw Data\": [8.27, 27.14, 22.89, 89.45],\n",
    "}\n",
    "size_labels = {\n",
    "    \"Celldega\":        [\"0.3579 GB\", \"2.16 GB\", \"2.98 GB\", \"11.86 GB\"],\n",
    "    \"Cartoscope\":      [\"10.54 GB\", \"38.46 GB\", \"39.39 GB\", \"324 GB\"],\n",
    "    \"Xenium-Web\":      [\"2.28 GB\", \"10.2 GB\", \"9.17 GB\", \"67.8 GB\"],\n",
    "    \"TissUUmaps\":      [\"1.76 GB\", \"11.89 GB\", \"17.31 GB\", \"175.54 GB\"],\n",
    "    \"Vitessce\":        [\"5.18 GB\", \"20.92 GB\", \"22.06 GB\", \"92.86 GB\"],\n",
    "    \"Xenium Raw Data\": [\"8.27 GB\", \"27.14 GB\", \"22.89 GB\", \"89.45 GB\"],\n",
    "}\n",
    "\n",
    "COLOR_MAP = {\n",
    "    \"Celldega\":        \"#2E6CB1\",\n",
    "    \"Cartoscope\":      \"#E69F00\",\n",
    "    \"Xenium-Web\":      \"#009E73\",\n",
    "    \"TissUUmaps\":      \"#D55E00\",\n",
    "    \"Vitessce\":        \"#CC79A7\",\n",
    "    \"Xenium Raw Data\": \"#F0E442\",\n",
    "}\n",
    "\n",
    "tools_time = [\"Celldega\", \"Xenium-Web\", \"Vitessce\", \"TissUUmaps\", \"Cartoscope\"]\n",
    "tools_size = sorted(size_data.keys(), key=lambda t: size_data[t][-1])\n",
    "\n",
    "TIMEOUT = 300\n",
    "bar_width_time = 0.16\n",
    "bar_width_size = 0.13\n",
    "\n",
    "n_time = len(tools_time)\n",
    "n_size = len(tools_size)\n",
    "offsets_time = (np.arange(n_time) - (n_time - 1) / 2) * bar_width_time\n",
    "offsets_size = (np.arange(n_size) - (n_size - 1) / 2) * bar_width_size\n",
    "\n",
    "\n",
    "def draw_slash_marks(ax, xpos, top, bw, n_slashes=3, slash_h=16, slash_offset=0.018):\n",
    "    spacing = bw / (n_slashes + 1)\n",
    "    for s in range(n_slashes):\n",
    "        cx = xpos - bw / 2 + spacing * (s + 1)\n",
    "        ax.plot([cx - slash_offset, cx + slash_offset],\n",
    "                [top - slash_h / 2, top + slash_h / 2],\n",
    "                color=\"white\", linewidth=5, zorder=7, solid_capstyle=\"round\")\n",
    "        ax.plot([cx - slash_offset, cx + slash_offset],\n",
    "                [top - slash_h / 2, top + slash_h / 2],\n",
    "                color=\"black\", linewidth=2.5, zorder=8, solid_capstyle=\"round\")\n",
    "\n",
    "\n",
    "def add_group_labels(ax, offsets_used, bw, line_y=-0.20, text_y=-0.23, gap=0.01):\n",
    "    group_labels = [\"Xenium: 10 M\", \"Xenium: 120 M\", \"Xenium: 200 M\", \"Atera: 1 B\"]\n",
    "    for idx, label in enumerate(group_labels):\n",
    "        left_data  = x[idx] + offsets_used[0]  - bw / 2\n",
    "        right_data = x[idx] + offsets_used[-1] + bw / 2\n",
    "        lf = ax.transAxes.inverted().transform(ax.transData.transform((left_data,  0)))[0]\n",
    "        rf = ax.transAxes.inverted().transform(ax.transData.transform((right_data, 0)))[0]\n",
    "        lf += gap\n",
    "        rf -= gap\n",
    "        ax.annotate(\"\", xy=(rf, line_y), xytext=(lf, line_y),\n",
    "                    xycoords=\"axes fraction\", textcoords=\"axes fraction\",\n",
    "                    annotation_clip=False,\n",
    "                    arrowprops=dict(arrowstyle=\"-\", color=\"gray\", lw=1.5))\n",
    "        ax.text((lf + rf) / 2, text_y, label,\n",
    "                ha=\"center\", va=\"top\", fontsize=13,\n",
    "                fontstyle=\"italic\", color=\"gray\",\n",
    "                transform=ax.transAxes)\n",
    "\n",
    "\n",
    "def set_time_xticks(ax):\n",
    "    tick_pos, tick_lbl = [], []\n",
    "    for idx in range(len(datasets)):\n",
    "        for i, tool in enumerate(tools_time):\n",
    "            tick_pos.append(x[idx] + offsets_time[i])\n",
    "            tick_lbl.append(tool)\n",
    "    ax.set_xticks(tick_pos)\n",
    "    ax.set_xticklabels(tick_lbl, rotation=40, ha=\"right\", fontsize=14)\n",
    "\n",
    "\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "# FIGURE 1: Loading time\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "fig1, ax1 = plt.subplots(figsize=(20, 12))\n",
    "\n",
    "for i, tool in enumerate(tools_time):\n",
    "    color = COLOR_MAP[tool]\n",
    "    load_raw = load_data[tool]\n",
    "\n",
    "    for idx in range(len(datasets)):\n",
    "        xpos = x[idx] + offsets_time[i]\n",
    "        lv_raw = load_raw[idx]\n",
    "\n",
    "        load_crashed = isinstance(lv_raw, float) and np.isnan(lv_raw)\n",
    "        load_timeout = lv_raw is None\n",
    "\n",
    "        if load_crashed:\n",
    "            ax1.plot(xpos, 8, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                     color=\"black\", zorder=5, linestyle=\"None\")\n",
    "        elif load_timeout:\n",
    "            ax1.bar(xpos, TIMEOUT, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            draw_slash_marks(ax1, xpos, TIMEOUT, bar_width_time)\n",
    "        else:\n",
    "            lv = min(float(lv_raw), TIMEOUT)\n",
    "            ax1.bar(xpos, lv, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "\n",
    "ax1.set_ylim(0, 350)\n",
    "ax1.set_ylabel(\"Time (seconds)\", fontsize=18)\n",
    "ax1.tick_params(axis='y', labelsize=16)\n",
    "ax1.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "\n",
    "set_time_xticks(ax1)\n",
    "\n",
    "loading_patch = Patch(facecolor=\"gray\", edgecolor=\"white\", alpha=1.0, label=\"Loading time\")\n",
    "exceeded_line = Line2D([0], [0], color=\"black\", linestyle=\"-\", linewidth=2,\n",
    "                       label=\"Exceeded 5 min limit (clipped)\")\n",
    "crash_marker  = Line2D([0], [0], marker=\"x\", color=\"black\", linestyle=\"None\",\n",
    "                       markersize=12, markeredgewidth=3, label=\"Run crashed\")\n",
    "\n",
    "ax1.legend(handles=[loading_patch, exceeded_line, crash_marker],\n",
    "           loc=\"upper left\", bbox_to_anchor=(0.01, 0.99),\n",
    "           frameon=True, fontsize=14, handlelength=2.5)\n",
    "\n",
    "fig1.canvas.draw()\n",
    "add_group_labels(ax1, offsets_time, bar_width_time)\n",
    "plt.tight_layout(rect=[0, 0.14, 1.0, 1])\n",
    "plt.savefig(\"results/supp_plot1_load.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "# FIGURE 2: Transcript enabling time\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "fig2, ax2 = plt.subplots(figsize=(20, 12))\n",
    "\n",
    "for i, tool in enumerate(tools_time):\n",
    "    color = COLOR_MAP[tool]\n",
    "    trx_raw = trx_enable_data[tool]\n",
    "\n",
    "    for idx in range(len(datasets)):\n",
    "        xpos = x[idx] + offsets_time[i]\n",
    "        tv_raw = trx_raw[idx]\n",
    "\n",
    "        trx_crashed = isinstance(tv_raw, float) and np.isnan(tv_raw)\n",
    "        trx_timeout = tv_raw is None\n",
    "\n",
    "        if trx_crashed:\n",
    "            ax2.plot(xpos, 8, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                     color=\"black\", zorder=5, linestyle=\"None\")\n",
    "        elif trx_timeout:\n",
    "            ax2.bar(xpos, TIMEOUT, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            draw_slash_marks(ax2, xpos, TIMEOUT, bar_width_time)\n",
    "        else:\n",
    "            tv = min(float(tv_raw), TIMEOUT)\n",
    "            ax2.bar(xpos, tv, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "\n",
    "ax2.set_ylim(0, 350)\n",
    "ax2.set_ylabel(\"Time (seconds)\", fontsize=18)\n",
    "ax2.tick_params(axis='y', labelsize=16)\n",
    "ax2.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "\n",
    "set_time_xticks(ax2)\n",
    "\n",
    "trx_patch      = Patch(facecolor=\"gray\", edgecolor=\"white\", alpha=1.0,\n",
    "                       label=\"Transcript enabling time\")\n",
    "exceeded_line2 = Line2D([0], [0], color=\"black\", linestyle=\"-\", linewidth=2,\n",
    "                        label=\"Exceeded 5 min limit (clipped)\")\n",
    "crash_marker2  = Line2D([0], [0], marker=\"x\", color=\"black\", linestyle=\"None\",\n",
    "                        markersize=12, markeredgewidth=3, label=\"Run crashed\")\n",
    "\n",
    "ax2.legend(handles=[trx_patch, exceeded_line2, crash_marker2],\n",
    "           loc=\"upper left\", bbox_to_anchor=(0.01, 0.99),\n",
    "           frameon=True, fontsize=14, handlelength=2.5)\n",
    "\n",
    "fig2.canvas.draw()\n",
    "add_group_labels(ax2, offsets_time, bar_width_time)\n",
    "plt.tight_layout(rect=[0, 0.14, 1.0, 1])\n",
    "plt.savefig(\"results/supp_plot2_trx.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "# FIGURE 3: Exploration time\n",
    "# ═══════════════════════════════════════════════════════════════════\n",
    "fig3, ax3 = plt.subplots(figsize=(20, 12))\n",
    "\n",
    "for i, tool in enumerate(tools_time):\n",
    "    color = COLOR_MAP[tool]\n",
    "    exp_raw = explore_data[tool]\n",
    "\n",
    "    for idx in range(len(datasets)):\n",
    "        xpos = x[idx] + offsets_time[i]\n",
    "        ev_raw = exp_raw[idx]\n",
    "\n",
    "        exp_crashed = isinstance(ev_raw, float) and np.isnan(ev_raw)\n",
    "        exp_timeout = ev_raw is None\n",
    "\n",
    "        if exp_crashed:\n",
    "            ax3.plot(xpos, 12, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                     color=\"black\", zorder=5, linestyle=\"None\")\n",
    "        elif exp_timeout:\n",
    "            ax3.bar(xpos, TIMEOUT, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            draw_slash_marks(ax3, xpos, TIMEOUT, bar_width_time)\n",
    "        else:\n",
    "            ev = min(float(ev_raw), TIMEOUT)\n",
    "            ax3.bar(xpos, ev, width=bar_width_time, bottom=0,\n",
    "                    color=color, edgecolor=\"white\", linewidth=0.5, alpha=1.0, zorder=3)\n",
    "            if explore_crashed_after.get((tool, idx), False):\n",
    "                ax3.plot(xpos, ev + 8, marker=\"x\", markersize=14, markeredgewidth=3,\n",
    "                         color=\"black\", zorder=6, linestyle=\"None\")\n",
    "\n",
    "ax3.set_ylim(0, 350)\n",
    "ax3.set_ylabel(\"Time (seconds)\", fontsize=18)\n",
    "ax3.tick_params(axis='y', labelsize=16)\n",
    "ax3.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n",
    "\n",
    "set_time_xticks(ax3)\n",
    "\n",
    "explore_patch  = Patch(facecolor=\"gray\", edgecolor=\"white\", alpha=1.0, label=\"Exploration time\")\n",
    "exceeded_line3 = Line2D([0], [0], color=\"black\", linestyle=\"-\", linewidth=2,\n",
    "                        label=\"Exceeded 5 min limit (clipped)\")\n",
    "crash_marker3  = Line2D([0], [0], marker=\"x\", color=\"black\", linestyle=\"None\",\n",
    "                        markersize=12, markeredgewidth=3, label=\"Run crashed\")\n",
    "\n",
    "ax3.legend(handles=[explore_patch, exceeded_line3, crash_marker3],\n",
    "           loc=\"upper left\", bbox_to_anchor=(0.01, 0.99),\n",
    "           frameon=True, fontsize=14, handlelength=2.5)\n",
    "\n",
    "fig3.canvas.draw()\n",
    "add_group_labels(ax3, offsets_time, bar_width_time)\n",
    "plt.tight_layout(rect=[0, 0.14, 1.0, 1])\n",
    "plt.savefig(\"results/supp_plot3_explore.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e601aa42-fee7-433c-adb9-15fb0a1dc1cb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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