characters_tally.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting data for all characters\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "220it [02:41,  2.28it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X:Special source\\EQG Holidays Unwrapped\\00_15_23_Twilight_Happy__Thank you so much for inviting me to your family's holiday party.txt\n",
      "X:Special source\\EQG Holidays Unwrapped\\00_15_23_Twilight_Happy__Thank you so much for inviting me to your family's holiday party..txt\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "276it [03:44,  1.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished collecting data for all characters\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "from ppp import PPPDataset\n",
    "data = PPPDataset.collect([])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x1100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x3000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x13200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x6900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "char_dict = {}\n",
    "for char,files in data.file_dict.items():\n",
    "    char_dict[char] = len(files)\n",
    "\n",
    "sorted_char_list = sorted(char_dict.items(), key=lambda x: x[1], reverse=True)\n",
    "magnitude_lists = {1000:[], 100:[], 10:[], 1:[]}\n",
    "\n",
    "for tup in sorted_char_list:\n",
    "    k,v = tup\n",
    "    magnitude = 10 ** (len(str(v)) - 1)\n",
    "    magnitude_lists[magnitude].append(tup)\n",
    "\n",
    "for magnitude, items in magnitude_lists.items():\n",
    "    k,v = zip(*magnitude_lists[magnitude])\n",
    "    colors = plt.cm.magma(np.linspace(0, 1, len(k)))\n",
    "\n",
    "    df = pd.DataFrame(items, columns=['character','line_count'])\n",
    "    df = df[::-1]\n",
    "    #plt.figure(figsize=(8,3))\n",
    "    #plt.axis('off')\n",
    "    #plt.table(cellText=df.values, colLabels=df.columns, loc='center', cellLoc='center')\n",
    "    #plt.savefig(f'PPPData_{int(magnitude)}s_table.png', bbox_inches='tight', pad_inches=1)\n",
    "\n",
    "    plt.figure(figsize=(7,len(k)))\n",
    "    bars = plt.barh(df['character'],df['line_count'],color=colors, height=0.8)\n",
    "    for bar, value in zip(bars, df['line_count']):\n",
    "        plt.text(bar.get_width(), bar.get_y() + bar.get_height() / 2, f'{value}', ha='left', va='center')\n",
    "\n",
    "    plt.ylabel('Characters')\n",
    "    plt.xlabel('Line count')\n",
    "    plt.savefig(f'PPPData_{int(magnitude)}s.png', bbox_inches='tight', pad_inches=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting data for all characters\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "0it [00:00, ?it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "231it [00:03, 82.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X:Special source\\EQG Holidays Unwrapped\\00_15_23_Twilight_Happy__Thank you so much for inviting me to your family's holiday party.txt\n",
      "X:Special source\\EQG Holidays Unwrapped\\00_15_23_Twilight_Happy__Thank you so much for inviting me to your family's holiday party..txt\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "276it [00:04, 67.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished collecting data for all characters\n",
      "Collecting stats...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Pinkie: 100%|██████████| 3304/3304 [02:19<00:00, 23.72it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Pinkie (3304 lines 7798.373 s)\n",
      "Min: 0.272 s, Max: 8.921 s\n",
      " Total: 7798.373 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Rarity: 100%|██████████| 3607/3607 [02:31<00:00, 23.88it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Rarity (3607 lines 9674.561 s)\n",
      "Min: 0.189 s, Max: 9.342 s\n",
      " Total: 17472.934 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sunset Shimmer: 100%|██████████| 687/687 [00:28<00:00, 24.14it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sunset Shimmer (687 lines 1711.938 s)\n",
      "Min: 0.5 s, Max: 9.342 s\n",
      " Total: 19184.872 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Twilight: 100%|██████████| 6600/6600 [04:38<00:00, 23.68it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Twilight (6600 lines 16202.445 s)\n",
      "Min: 0.18 s, Max: 9.479 s\n",
      " Total: 35387.317 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Applejack: 100%|██████████| 4272/4272 [03:04<00:00, 23.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Applejack (4272 lines 10871.134 s)\n",
      "Min: 0.248 s, Max: 9.479 s\n",
      " Total: 46258.451 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Rainbow: 100%|██████████| 3786/3786 [02:48<00:00, 22.53it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Rainbow (3786 lines 9474.945 s)\n",
      "Min: 0.351 s, Max: 9.479 s\n",
      " Total: 55733.396 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Spike: 100%|██████████| 2835/2835 [02:00<00:00, 23.60it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Spike (2835 lines 6475.859 s)\n",
      "Min: 0.24 s, Max: 9.479 s\n",
      " Total: 62209.255 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sugarcoat: 100%|██████████| 11/11 [00:00<00:00, 24.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sugarcoat (11 lines 24.173 s)\n",
      "Min: 1.265 s, Max: 9.479 s\n",
      " Total: 62233.428 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sunny Flare: 100%|██████████| 7/7 [00:00<00:00, 24.12it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sunny Flare (7 lines 20.432 s)\n",
      "Min: 0.73 s, Max: 9.479 s\n",
      " Total: 62253.86 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sour Sweet: 100%|██████████| 29/29 [00:01<00:00, 24.39it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sour Sweet (29 lines 60.195 s)\n",
      "Min: 0.636 s, Max: 9.479 s\n",
      " Total: 62314.055 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Lemon Zest: 100%|██████████| 5/5 [00:00<00:00, 23.66it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Lemon Zest (5 lines 21.87 s)\n",
      "Min: 3.46 s, Max: 9.479 s\n",
      " Total: 62335.925 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Fluttershy: 100%|██████████| 2805/2805 [01:55<00:00, 24.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Fluttershy (2805 lines 7386.421 s)\n",
      "Min: 0.263 s, Max: 9.662 s\n",
      " Total: 69722.346 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Wallflower: 100%|██████████| 22/22 [00:00<00:00, 23.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Wallflower (22 lines 52.559 s)\n",
      "Min: 0.882 s, Max: 9.662 s\n",
      " Total: 69774.905 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Trixie: 100%|██████████| 745/745 [00:33<00:00, 22.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Trixie (745 lines 2564.475 s)\n",
      "Min: 0.412 s, Max: 9.777 s\n",
      " Total: 72339.38 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Celestia: 100%|██████████| 788/788 [00:36<00:00, 21.44it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Celestia (788 lines 2294.597 s)\n",
      "Min: 0.496 s, Max: 9.777 s\n",
      " Total: 74633.977 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Nurse Redheart: 100%|██████████| 3/3 [00:00<00:00, 22.11it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Nurse Redheart (3 lines 4.728 s)\n",
      "Min: 1.423 s, Max: 9.777 s\n",
      " Total: 74638.705 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Maud: 100%|██████████| 250/250 [00:11<00:00, 21.43it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Maud (250 lines 531.65 s)\n",
      "Min: 0.519 s, Max: 9.777 s\n",
      " Total: 75170.355 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Flash Sentry: 100%|██████████| 63/63 [00:02<00:00, 21.32it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Flash Sentry (63 lines 148.844 s)\n",
      "Min: 0.369 s, Max: 9.777 s\n",
      " Total: 75319.199 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Luna: 100%|██████████| 353/353 [00:16<00:00, 21.36it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Luna (353 lines 988.844 s)\n",
      "Min: 0.595 s, Max: 9.777 s\n",
      " Total: 76308.043 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cadance: 100%|██████████| 239/239 [00:11<00:00, 21.36it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cadance (239 lines 675.279 s)\n",
      "Min: 0.72 s, Max: 9.777 s\n",
      " Total: 76983.322 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Shining Armor: 100%|██████████| 154/154 [00:07<00:00, 21.09it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Shining Armor (154 lines 411.049 s)\n",
      "Min: 0.461 s, Max: 9.777 s\n",
      " Total: 77394.371 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cinch: 100%|██████████| 72/72 [00:03<00:00, 21.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cinch (72 lines 279.983 s)\n",
      "Min: 0.754 s, Max: 9.97 s\n",
      " Total: 77674.354 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Gloriosa Daisy: 100%|██████████| 65/65 [00:03<00:00, 21.40it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Gloriosa Daisy (65 lines 184.725 s)\n",
      "Min: 0.606 s, Max: 9.97 s\n",
      " Total: 77859.079 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Timber Spruce: 100%|██████████| 76/76 [00:03<00:00, 21.45it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Timber Spruce (76 lines 158.745 s)\n",
      "Min: 0.708 s, Max: 9.97 s\n",
      " Total: 78017.824 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Bulk Biceps: 100%|██████████| 15/15 [00:00<00:00, 21.66it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Bulk Biceps (15 lines 37.592 s)\n",
      "Min: 1.032 s, Max: 9.97 s\n",
      " Total: 78055.416 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Filthy Rich: 100%|██████████| 50/50 [00:02<00:00, 20.75it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Filthy Rich (50 lines 177.501 s)\n",
      "Min: 1.249 s, Max: 9.97 s\n",
      " Total: 78232.917 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sandalwood: 100%|██████████| 1/1 [00:00<00:00, 22.72it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sandalwood (1 lines 2.669 s)\n",
      "Min: 2.669 s, Max: 9.97 s\n",
      " Total: 78235.586 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Derpy: 100%|██████████| 55/55 [00:02<00:00, 21.30it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Derpy (55 lines 170.551 s)\n",
      "Min: 0.745 s, Max: 9.97 s\n",
      " Total: 78406.137 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Juniper Montage: 100%|██████████| 70/70 [00:03<00:00, 21.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Juniper Montage (70 lines 146.845 s)\n",
      "Min: 0.548 s, Max: 9.97 s\n",
      " Total: 78552.982 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Starlight: 100%|██████████| 1462/1462 [01:08<00:00, 21.48it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Starlight (1462 lines 4275.258 s)\n",
      "Min: 0.283 s, Max: 9.97 s\n",
      " Total: 82828.24 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Canter Zoom: 100%|██████████| 37/37 [00:01<00:00, 21.60it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Canter Zoom (37 lines 88.554 s)\n",
      "Min: 0.67 s, Max: 9.97 s\n",
      " Total: 82916.794 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Chestnut Magnifico: 100%|██████████| 15/15 [00:00<00:00, 21.42it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Chestnut Magnifico (15 lines 41.061 s)\n",
      "Min: 1.15 s, Max: 9.97 s\n",
      " Total: 82957.855 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Vignette: 100%|██████████| 120/120 [00:05<00:00, 21.01it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Vignette (120 lines 354.784 s)\n",
      "Min: 0.593 s, Max: 9.97 s\n",
      " Total: 83312.639 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Flim: 100%|██████████| 68/68 [00:03<00:00, 21.30it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Flim (68 lines 187.143 s)\n",
      "Min: 0.614 s, Max: 9.97 s\n",
      " Total: 83499.782 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Flam: 100%|██████████| 66/66 [00:03<00:00, 20.88it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Flam (66 lines 207.059 s)\n",
      "Min: 1.089 s, Max: 9.97 s\n",
      " Total: 83706.841 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Petunia Petals: 100%|██████████| 41/41 [00:01<00:00, 21.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Petunia Petals (41 lines 106.371 s)\n",
      "Min: 1.043 s, Max: 9.97 s\n",
      " Total: 83813.212 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mrs. Hoofington: 100%|██████████| 12/12 [00:00<00:00, 21.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mrs. Hoofington (12 lines 34.44 s)\n",
      "Min: 1.044 s, Max: 9.97 s\n",
      " Total: 83847.652 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mr. Hoofington: 100%|██████████| 16/16 [00:00<00:00, 21.04it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mr. Hoofington (16 lines 49.474 s)\n",
      "Min: 1.449 s, Max: 9.97 s\n",
      " Total: 83897.126 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mayor Sunny Skies: 100%|██████████| 67/67 [00:03<00:00, 21.18it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mayor Sunny Skies (67 lines 258.153 s)\n",
      "Min: 0.819 s, Max: 11.845 s\n",
      " Total: 84155.279 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Torque Wrench: 100%|██████████| 9/9 [00:00<00:00, 21.21it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Torque Wrench (9 lines 27.545 s)\n",
      "Min: 1.261 s, Max: 11.845 s\n",
      " Total: 84182.824 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Barley Barrel: 100%|██████████| 14/14 [00:00<00:00, 21.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Barley Barrel (14 lines 34.036 s)\n",
      "Min: 1.313 s, Max: 11.845 s\n",
      " Total: 84216.86 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Pickle Barrel: 100%|██████████| 10/10 [00:00<00:00, 22.07it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Pickle Barrel (10 lines 19.17 s)\n",
      "Min: 0.623 s, Max: 11.845 s\n",
      " Total: 84236.03 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Kerfuffle: 100%|██████████| 18/18 [00:00<00:00, 21.45it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Kerfuffle (18 lines 63.992 s)\n",
      "Min: 0.914 s, Max: 11.845 s\n",
      " Total: 84300.022 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Moody Root: 100%|██████████| 7/7 [00:00<00:00, 21.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Moody Root (7 lines 30.819 s)\n",
      "Min: 3.236 s, Max: 11.845 s\n",
      " Total: 84330.841 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Twinkleshine: 100%|██████████| 11/11 [00:00<00:00, 21.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Twinkleshine (11 lines 30.026 s)\n",
      "Min: 0.96 s, Max: 11.845 s\n",
      " Total: 84360.867 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Granny Smith: 100%|██████████| 440/440 [00:20<00:00, 21.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Granny Smith (440 lines 1410.85 s)\n",
      "Min: 0.649 s, Max: 11.845 s\n",
      " Total: 85771.717 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Apple Bloom: 100%|██████████| 1813/1813 [01:24<00:00, 21.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Apple Bloom (1813 lines 4705.327 s)\n",
      "Min: 0.392 s, Max: 11.845 s\n",
      " Total: 90477.044 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mayor Mare: 100%|██████████| 124/124 [00:05<00:00, 21.28it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mayor Mare (124 lines 495.763 s)\n",
      "Min: 1.16 s, Max: 11.845 s\n",
      " Total: 90972.807 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Nightmare Moon: 100%|██████████| 30/30 [00:01<00:00, 21.57it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Nightmare Moon (30 lines 76.215 s)\n",
      "Min: 0.536 s, Max: 11.845 s\n",
      " Total: 91049.022 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Zecora: 100%|██████████| 200/200 [00:09<00:00, 21.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Zecora (200 lines 674.816 s)\n",
      "Min: 0.923 s, Max: 11.845 s\n",
      " Total: 91723.838 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Big Mac: 100%|██████████| 313/313 [00:14<00:00, 21.95it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Big Mac (313 lines 592.83 s)\n",
      "Min: 0.323 s, Max: 11.845 s\n",
      " Total: 92316.668 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Rainbowshine: 100%|██████████| 1/1 [00:00<00:00, 20.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Rainbowshine (1 lines 3.92 s)\n",
      "Min: 3.92 s, Max: 11.845 s\n",
      " Total: 92320.588 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cheerilee: 100%|██████████| 176/176 [00:08<00:00, 21.26it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cheerilee (176 lines 511.362 s)\n",
      "Min: 0.731 s, Max: 11.845 s\n",
      " Total: 92831.95 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Diamond Tiara: 100%|██████████| 162/162 [00:07<00:00, 21.38it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Diamond Tiara (162 lines 511.714 s)\n",
      "Min: 0.876 s, Max: 11.845 s\n",
      " Total: 93343.664 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Twist: 100%|██████████| 14/14 [00:00<00:00, 21.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Twist (14 lines 34.489 s)\n",
      "Min: 0.98 s, Max: 11.845 s\n",
      " Total: 93378.153 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Silver Spoon: 100%|██████████| 51/51 [00:02<00:00, 21.67it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Silver Spoon (51 lines 130.834 s)\n",
      "Min: 0.918 s, Max: 11.845 s\n",
      " Total: 93508.987 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Multiple: 100%|██████████| 1/1 [00:00<00:00, 24.38it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Multiple (1 lines 2.776 s)\n",
      "Min: 2.776 s, Max: 11.845 s\n",
      " Total: 93511.763 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Scootaloo: 100%|██████████| 1153/1153 [00:53<00:00, 21.68it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Scootaloo (1153 lines 2962.849 s)\n",
      "Min: 0.445 s, Max: 11.845 s\n",
      " Total: 96474.612 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sweetie Belle: 100%|██████████| 1076/1076 [00:49<00:00, 21.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sweetie Belle (1076 lines 2739.609 s)\n",
      "Min: 0.24 s, Max: 11.845 s\n",
      " Total: 99214.221 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Hoity Toity: 100%|██████████| 25/25 [00:01<00:00, 21.53it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Hoity Toity (25 lines 86.921 s)\n",
      "Min: 1.182 s, Max: 11.845 s\n",
      " Total: 99301.142 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Spitfire: 100%|██████████| 183/183 [00:08<00:00, 21.39it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Spitfire (183 lines 461.62 s)\n",
      "Min: 0.457 s, Max: 11.845 s\n",
      " Total: 99762.762 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Snips: 100%|██████████| 56/56 [00:02<00:00, 21.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Snips (56 lines 185.172 s)\n",
      "Min: 0.919 s, Max: 11.845 s\n",
      " Total: 99947.934 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Snails: 100%|██████████| 32/32 [00:01<00:00, 21.75it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Snails (32 lines 90.899 s)\n",
      "Min: 0.968 s, Max: 11.845 s\n",
      " Total: 100038.833 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sapphire Shores: 100%|██████████| 21/21 [00:00<00:00, 21.62it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sapphire Shores (21 lines 62.249 s)\n",
      "Min: 1.065 s, Max: 11.845 s\n",
      " Total: 100101.082 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Steve: 100%|██████████| 26/26 [00:01<00:00, 21.45it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Steve (26 lines 101.14 s)\n",
      "Min: 1.746 s, Max: 11.845 s\n",
      " Total: 100202.222 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Photo Finish: 100%|██████████| 49/49 [00:02<00:00, 21.73it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Photo Finish (49 lines 91.742 s)\n",
      "Min: 0.609 s, Max: 11.845 s\n",
      " Total: 100293.964 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Braeburn: 100%|██████████| 44/44 [00:02<00:00, 21.67it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Braeburn (44 lines 134.06 s)\n",
      "Min: 0.725 s, Max: 11.845 s\n",
      " Total: 100428.024 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Chief Thunderhooves: 100%|██████████| 6/6 [00:00<00:00, 21.95it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Chief Thunderhooves (6 lines 21.012 s)\n",
      "Min: 2.262 s, Max: 11.845 s\n",
      " Total: 100449.036 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Little Strongheart: 100%|██████████| 2/2 [00:00<00:00, 22.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Little Strongheart (2 lines 5.17 s)\n",
      "Min: 1.332 s, Max: 11.845 s\n",
      " Total: 100454.206 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mrs. Cake: 100%|██████████| 182/182 [00:08<00:00, 21.25it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mrs. Cake (182 lines 554.674 s)\n",
      "Min: 0.601 s, Max: 11.845 s\n",
      " Total: 101008.88 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mr. Cake: 100%|██████████| 22/22 [00:01<00:00, 21.43it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mr. Cake (22 lines 68.47 s)\n",
      "Min: 0.734 s, Max: 11.845 s\n",
      " Total: 101077.35 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Soarin: 100%|██████████| 51/51 [00:02<00:00, 21.53it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Soarin (51 lines 148.048 s)\n",
      "Min: 0.752 s, Max: 11.845 s\n",
      " Total: 101225.398 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Prince Blueblood: 100%|██████████| 7/7 [00:00<00:00, 21.72it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Prince Blueblood (7 lines 17.983 s)\n",
      "Min: 1.426 s, Max: 11.845 s\n",
      " Total: 101243.381 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Rose: 100%|██████████| 9/9 [00:00<00:00, 21.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Rose (9 lines 23.039 s)\n",
      "Min: 1.416 s, Max: 11.845 s\n",
      " Total: 101266.42 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Daisy: 100%|██████████| 4/4 [00:00<00:00, 22.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Daisy (4 lines 7.258 s)\n",
      "Min: 1.304 s, Max: 11.845 s\n",
      " Total: 101273.678 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Lily Valley: 100%|██████████| 5/5 [00:00<00:00, 21.15it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Lily Valley (5 lines 14.858 s)\n",
      "Min: 1.68 s, Max: 11.845 s\n",
      " Total: 101288.536 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Gilda: 100%|██████████| 96/96 [00:04<00:00, 21.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Gilda (96 lines 246.108 s)\n",
      "Min: 0.76 s, Max: 11.845 s\n",
      " Total: 101534.644 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Discord: 100%|██████████| 965/965 [00:44<00:00, 21.62it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Discord (965 lines 2990.376 s)\n",
      "Min: 0.485 s, Max: 11.845 s\n",
      " Total: 104525.02 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mrs.Cake: 100%|██████████| 1/1 [00:00<00:00, 25.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mrs.Cake (1 lines 4.706 s)\n",
      "Min: 4.706 s, Max: 11.845 s\n",
      " Total: 104529.726 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Dr. Fauna: 100%|██████████| 4/4 [00:00<00:00, 20.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Dr. Fauna (4 lines 17.895 s)\n",
      "Min: 1.534 s, Max: 11.845 s\n",
      " Total: 104547.621 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character A. K. Yearling: 100%|██████████| 96/96 [00:04<00:00, 21.41it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: A. K. Yearling (96 lines 253.962 s)\n",
      "Min: 0.776 s, Max: 11.845 s\n",
      " Total: 104801.583 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Ahuizotl: 100%|██████████| 21/21 [00:00<00:00, 21.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Ahuizotl (21 lines 72.391 s)\n",
      "Min: 0.65 s, Max: 11.845 s\n",
      " Total: 104873.974 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Matilda: 100%|██████████| 42/42 [00:01<00:00, 21.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Matilda (42 lines 124.506 s)\n",
      "Min: 0.622 s, Max: 11.845 s\n",
      " Total: 104998.48 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cranky: 100%|██████████| 87/87 [00:04<00:00, 21.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cranky (87 lines 218.082 s)\n",
      "Min: 0.458 s, Max: 11.845 s\n",
      " Total: 105216.562 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Iron Will: 100%|██████████| 50/50 [00:02<00:00, 21.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Iron Will (50 lines 144.008 s)\n",
      "Min: 0.688 s, Max: 11.845 s\n",
      " Total: 105360.57 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Garble: 100%|██████████| 49/49 [00:02<00:00, 21.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Garble (49 lines 135.39 s)\n",
      "Min: 0.446 s, Max: 11.845 s\n",
      " Total: 105495.96 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Flitter: 100%|██████████| 4/4 [00:00<00:00, 22.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Flitter (4 lines 8.166 s)\n",
      "Min: 0.517 s, Max: 11.845 s\n",
      " Total: 105504.126 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Thunderlane: 100%|██████████| 23/23 [00:01<00:00, 21.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Thunderlane (23 lines 59.694 s)\n",
      "Min: 0.88 s, Max: 11.845 s\n",
      " Total: 105563.82 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cloud Chaser: 100%|██████████| 1/1 [00:00<00:00, 21.74it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cloud Chaser (1 lines 2.229 s)\n",
      "Min: 2.229 s, Max: 11.845 s\n",
      " Total: 105566.049 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Gustave Le Grand: 100%|██████████| 7/7 [00:00<00:00, 19.72it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Gustave Le Grand (7 lines 26.732 s)\n",
      "Min: 0.716 s, Max: 11.845 s\n",
      " Total: 105592.781 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Donut Joe: 100%|██████████| 8/8 [00:00<00:00, 21.84it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Donut Joe (8 lines 28.6 s)\n",
      "Min: 0.988 s, Max: 11.845 s\n",
      " Total: 105621.381 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mulia Mild: 100%|██████████| 7/7 [00:00<00:00, 20.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mulia Mild (7 lines 31.552 s)\n",
      "Min: 1.835 s, Max: 11.845 s\n",
      " Total: 105652.933 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Minuette: 100%|██████████| 31/31 [00:01<00:00, 21.72it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Minuette (31 lines 77.861 s)\n",
      "Min: 0.732 s, Max: 11.845 s\n",
      " Total: 105730.794 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Lyra: 100%|██████████| 22/22 [00:01<00:00, 21.39it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Lyra (22 lines 67.947 s)\n",
      "Min: 0.922 s, Max: 11.845 s\n",
      " Total: 105798.741 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Chrysalis: 100%|██████████| 245/245 [00:11<00:00, 21.31it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Chrysalis (245 lines 803.982 s)\n",
      "Min: 0.559 s, Max: 11.845 s\n",
      " Total: 106602.723 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Pipsqueak: 100%|██████████| 39/39 [00:01<00:00, 21.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Pipsqueak (39 lines 123.967 s)\n",
      "Min: 0.821 s, Max: 11.845 s\n",
      " Total: 106726.69 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Amethyst Star: 100%|██████████| 2/2 [00:00<00:00, 21.68it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Amethyst Star (2 lines 4.194 s)\n",
      "Min: 1.586 s, Max: 11.845 s\n",
      " Total: 106730.884 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Jet Set: 100%|██████████| 5/5 [00:00<00:00, 21.81it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Jet Set (5 lines 15.731 s)\n",
      "Min: 1.157 s, Max: 11.845 s\n",
      " Total: 106746.615 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Jet Set : 100%|██████████| 1/1 [00:00<00:00, 24.12it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Jet Set  (1 lines 3.557 s)\n",
      "Min: 3.557 s, Max: 11.845 s\n",
      " Total: 106750.172 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Upper Crust: 100%|██████████| 6/6 [00:00<00:00, 21.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Upper Crust (6 lines 14.778 s)\n",
      "Min: 1.628 s, Max: 11.845 s\n",
      " Total: 106764.95 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Fancy Pants: 100%|██████████| 47/47 [00:02<00:00, 21.34it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Fancy Pants (47 lines 145.369 s)\n",
      "Min: 0.909 s, Max: 11.845 s\n",
      " Total: 106910.319 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Miss Harshwhinny: 100%|██████████| 57/57 [00:02<00:00, 21.42it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Miss Harshwhinny (57 lines 176.66 s)\n",
      "Min: 0.971 s, Max: 11.845 s\n",
      " Total: 107086.979 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sombra: 100%|██████████| 6/6 [00:00<00:00, 22.28it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sombra (6 lines 15.635 s)\n",
      "Min: 1.1 s, Max: 11.845 s\n",
      " Total: 107102.614 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Babs Seed: 100%|██████████| 31/31 [00:01<00:00, 21.62it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Babs Seed (31 lines 66.357 s)\n",
      "Min: 0.864 s, Max: 11.845 s\n",
      " Total: 107168.971 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Lightning Dust: 100%|██████████| 31/31 [00:01<00:00, 21.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Lightning Dust (31 lines 76.708 s)\n",
      "Min: 0.855 s, Max: 11.845 s\n",
      " Total: 107245.679 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Fleetfoot: 100%|██████████| 19/19 [00:00<00:00, 21.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Fleetfoot (19 lines 55.341 s)\n",
      "Min: 1.42 s, Max: 11.845 s\n",
      " Total: 107301.02 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cheese Sandwich: 100%|██████████| 65/65 [00:03<00:00, 21.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cheese Sandwich (65 lines 158.542 s)\n",
      "Min: 0.833 s, Max: 11.845 s\n",
      " Total: 107459.562 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Tirek: 100%|██████████| 230/230 [00:10<00:00, 21.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Tirek (230 lines 858.421 s)\n",
      "Min: 0.699 s, Max: 11.845 s\n",
      " Total: 108317.983 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mane-iac: 100%|██████████| 12/12 [00:00<00:00, 21.23it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mane-iac (12 lines 35.108 s)\n",
      "Min: 1.245 s, Max: 11.845 s\n",
      " Total: 108353.091 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Coco Pommel: 100%|██████████| 44/44 [00:02<00:00, 21.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Coco Pommel (44 lines 130.683 s)\n",
      "Min: 0.926 s, Max: 11.845 s\n",
      " Total: 108483.774 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Goldie Delicious: 100%|██████████| 193/193 [00:09<00:00, 21.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Goldie Delicious (193 lines 653.491 s)\n",
      "Min: 0.978 s, Max: 11.845 s\n",
      " Total: 109137.265 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Party Favor: 100%|██████████| 33/33 [00:01<00:00, 21.64it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Party Favor (33 lines 89.226 s)\n",
      "Min: 1.497 s, Max: 11.845 s\n",
      " Total: 109226.491 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Double Diamond: 100%|██████████| 24/24 [00:01<00:00, 21.38it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Double Diamond (24 lines 76.487 s)\n",
      "Min: 0.778 s, Max: 11.845 s\n",
      " Total: 109302.978 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sugar Belle: 100%|██████████| 138/138 [00:06<00:00, 21.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sugar Belle (138 lines 329.222 s)\n",
      "Min: 0.512 s, Max: 11.845 s\n",
      " Total: 109632.2 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Night Glider: 100%|██████████| 11/11 [00:00<00:00, 20.93it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Night Glider (11 lines 33.594 s)\n",
      "Min: 1.11 s, Max: 11.845 s\n",
      " Total: 109665.794 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Prince Rutherford: 100%|██████████| 90/90 [00:04<00:00, 21.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Prince Rutherford (90 lines 220.108 s)\n",
      "Min: 0.696 s, Max: 11.845 s\n",
      " Total: 109885.902 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cherry Jubilee: 100%|██████████| 24/24 [00:01<00:00, 21.57it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cherry Jubilee (24 lines 81.85 s)\n",
      "Min: 1.456 s, Max: 11.845 s\n",
      " Total: 109967.752 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Lemon Hearts: 100%|██████████| 8/8 [00:00<00:00, 20.64it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Lemon Hearts (8 lines 14.324 s)\n",
      "Min: 0.87 s, Max: 11.845 s\n",
      " Total: 109982.076 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Moon Dancer: 100%|██████████| 35/35 [00:01<00:00, 21.72it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Moon Dancer (35 lines 86.786 s)\n",
      "Min: 0.684 s, Max: 11.845 s\n",
      " Total: 110068.862 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sassy Saddles: 100%|██████████| 45/45 [00:02<00:00, 21.39it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sassy Saddles (45 lines 145.54 s)\n",
      "Min: 0.895 s, Max: 11.845 s\n",
      " Total: 110214.402 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Wind Rider: 100%|██████████| 17/17 [00:00<00:00, 21.67it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Wind Rider (17 lines 45.633 s)\n",
      "Min: 0.977 s, Max: 11.845 s\n",
      " Total: 110260.035 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Misty Fly: 100%|██████████| 8/8 [00:00<00:00, 20.89it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Misty Fly (8 lines 26.512 s)\n",
      "Min: 0.902 s, Max: 11.845 s\n",
      " Total: 110286.547 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Stormy Flare: 100%|██████████| 5/5 [00:00<00:00, 21.85it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Stormy Flare (5 lines 11.96 s)\n",
      "Min: 0.9 s, Max: 11.845 s\n",
      " Total: 110298.507 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Blaze: 100%|██████████| 1/1 [00:00<00:00, 23.81it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Blaze (1 lines 1.99 s)\n",
      "Min: 1.99 s, Max: 11.845 s\n",
      " Total: 110300.497 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Orchard Blossom: 100%|██████████| 36/36 [00:01<00:00, 21.37it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Orchard Blossom (36 lines 149.805 s)\n",
      "Min: 1.308 s, Max: 11.845 s\n",
      " Total: 110450.302 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Spoiled Rich: 100%|██████████| 21/21 [00:00<00:00, 21.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Spoiled Rich (21 lines 75.721 s)\n",
      "Min: 1.209 s, Max: 11.845 s\n",
      " Total: 110526.023 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Featherweight: 100%|██████████| 5/5 [00:00<00:00, 22.67it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Featherweight (5 lines 10.016 s)\n",
      "Min: 0.917 s, Max: 11.845 s\n",
      " Total: 110536.039 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Igneous: 100%|██████████| 9/9 [00:00<00:00, 21.25it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Igneous (9 lines 28.533 s)\n",
      "Min: 0.96 s, Max: 11.845 s\n",
      " Total: 110564.572 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cloudy Quartz: 100%|██████████| 2/2 [00:00<00:00, 21.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cloudy Quartz (2 lines 8.17 s)\n",
      "Min: 3.61 s, Max: 11.845 s\n",
      " Total: 110572.742 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Limestone: 100%|██████████| 33/33 [00:01<00:00, 21.89it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Limestone (33 lines 67.505 s)\n",
      "Min: 0.501 s, Max: 11.845 s\n",
      " Total: 110640.247 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Ma Hooffield: 100%|██████████| 26/26 [00:01<00:00, 21.40it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Ma Hooffield (26 lines 74.426 s)\n",
      "Min: 0.934 s, Max: 11.845 s\n",
      " Total: 110714.673 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Big Daddy Mccolt: 100%|██████████| 24/24 [00:01<00:00, 21.41it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Big Daddy Mccolt (24 lines 75.821 s)\n",
      "Min: 1.126 s, Max: 11.845 s\n",
      " Total: 110790.494 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Svengallop: 100%|██████████| 47/47 [00:02<00:00, 20.92it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Svengallop (47 lines 173.684 s)\n",
      "Min: 0.967 s, Max: 11.845 s\n",
      " Total: 110964.178 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Countess Coloratura: 100%|██████████| 37/37 [00:01<00:00, 21.14it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Countess Coloratura (37 lines 120.883 s)\n",
      "Min: 0.918 s, Max: 11.845 s\n",
      " Total: 111085.061 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Tree Hugger: 100%|██████████| 24/24 [00:01<00:00, 21.30it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Tree Hugger (24 lines 80.494 s)\n",
      "Min: 1.25 s, Max: 11.845 s\n",
      " Total: 111165.555 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sunburst: 100%|██████████| 247/247 [00:11<00:00, 21.38it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sunburst (247 lines 635.36 s)\n",
      "Min: 0.436 s, Max: 11.845 s\n",
      " Total: 111800.915 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mrs. Shy: 100%|██████████| 16/16 [00:00<00:00, 20.88it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mrs. Shy (16 lines 53.346 s)\n",
      "Min: 1.38 s, Max: 11.845 s\n",
      " Total: 111854.261 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mr. Shy: 100%|██████████| 8/8 [00:00<00:00, 22.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mr. Shy (8 lines 29.488 s)\n",
      "Min: 1.736 s, Max: 11.845 s\n",
      " Total: 111883.749 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Zephyr: 100%|██████████| 126/126 [00:05<00:00, 21.46it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Zephyr (126 lines 394.601 s)\n",
      "Min: 0.435 s, Max: 11.845 s\n",
      " Total: 112278.35 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Saffron Masala: 100%|██████████| 29/29 [00:01<00:00, 21.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Saffron Masala (29 lines 88.699 s)\n",
      "Min: 0.708 s, Max: 11.845 s\n",
      " Total: 112367.049 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Coriander Cumin: 100%|██████████| 24/24 [00:01<00:00, 21.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Coriander Cumin (24 lines 71.16 s)\n",
      "Min: 1.125 s, Max: 11.845 s\n",
      " Total: 112438.209 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Zesty Gourmand: 100%|██████████| 18/18 [00:00<00:00, 20.75it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Zesty Gourmand (18 lines 78.408 s)\n",
      "Min: 2.459 s, Max: 11.845 s\n",
      " Total: 112516.617 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Quibble Pants: 100%|██████████| 154/154 [00:07<00:00, 21.23it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Quibble Pants (154 lines 508.062 s)\n",
      "Min: 0.525 s, Max: 11.845 s\n",
      " Total: 113024.679 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Caballeron: 100%|██████████| 71/71 [00:03<00:00, 21.39it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Caballeron (71 lines 250.253 s)\n",
      "Min: 0.89 s, Max: 11.845 s\n",
      " Total: 113274.932 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Thorax: 100%|██████████| 187/187 [00:08<00:00, 21.34it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Thorax (187 lines 494.049 s)\n",
      "Min: 0.678 s, Max: 11.845 s\n",
      " Total: 113768.981 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Gabby: 100%|██████████| 75/75 [00:03<00:00, 21.05it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Gabby (75 lines 247.89 s)\n",
      "Min: 1.106 s, Max: 11.845 s\n",
      " Total: 114016.871 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Night Light: 100%|██████████| 9/9 [00:00<00:00, 21.73it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Night Light (9 lines 28.327 s)\n",
      "Min: 1.133 s, Max: 11.845 s\n",
      " Total: 114045.198 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Twilight Velvet: 100%|██████████| 8/8 [00:00<00:00, 21.05it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Twilight Velvet (8 lines 32.6 s)\n",
      "Min: 2.596 s, Max: 11.845 s\n",
      " Total: 114077.798 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Gladmane: 100%|██████████| 58/58 [00:02<00:00, 21.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Gladmane (58 lines 184.339 s)\n",
      "Min: 1.263 s, Max: 11.845 s\n",
      " Total: 114262.137 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Dragon Lord Torch: 100%|██████████| 35/35 [00:01<00:00, 21.24it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Dragon Lord Torch (35 lines 127.635 s)\n",
      "Min: 1.378 s, Max: 11.845 s\n",
      " Total: 114389.772 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Ember: 100%|██████████| 143/143 [00:06<00:00, 21.70it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Ember (143 lines 336.919 s)\n",
      "Min: 0.617 s, Max: 11.845 s\n",
      " Total: 114726.691 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Surprise: 100%|██████████| 2/2 [00:00<00:00, 22.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Surprise (2 lines 2.355 s)\n",
      "Min: 0.944 s, Max: 11.845 s\n",
      " Total: 114729.046 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character High Winds: 100%|██████████| 1/1 [00:00<00:00, 25.64it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: High Winds (1 lines 1.117 s)\n",
      "Min: 1.117 s, Max: 11.845 s\n",
      " Total: 114730.163 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Daybreaker: 100%|██████████| 4/4 [00:00<00:00, 21.61it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Daybreaker (4 lines 16.31 s)\n",
      "Min: 3.357 s, Max: 11.845 s\n",
      " Total: 114746.473 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cherry Berry: 100%|██████████| 1/1 [00:00<00:00, 22.73it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cherry Berry (1 lines 2.902 s)\n",
      "Min: 2.902 s, Max: 11.845 s\n",
      " Total: 114749.375 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sweetie Drops: 100%|██████████| 33/33 [00:01<00:00, 21.36it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sweetie Drops (33 lines 89.593 s)\n",
      "Min: 0.436 s, Max: 11.845 s\n",
      " Total: 114838.968 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Pharynx: 100%|██████████| 37/37 [00:01<00:00, 21.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Pharynx (37 lines 96.706 s)\n",
      "Min: 0.533 s, Max: 11.845 s\n",
      " Total: 114935.674 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Rumble: 100%|██████████| 42/42 [00:01<00:00, 21.74it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Rumble (42 lines 96.903 s)\n",
      "Min: 0.732 s, Max: 11.845 s\n",
      " Total: 115032.577 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Star Swirl: 100%|██████████| 63/63 [00:02<00:00, 21.08it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Star Swirl (63 lines 226.847 s)\n",
      "Min: 0.996 s, Max: 11.845 s\n",
      " Total: 115259.424 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Pony Of Shadows: 100%|██████████| 5/5 [00:00<00:00, 21.53it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Pony Of Shadows (5 lines 17.281 s)\n",
      "Min: 1.168 s, Max: 11.845 s\n",
      " Total: 115276.705 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Somnambula: 100%|██████████| 5/5 [00:00<00:00, 22.15it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Somnambula (5 lines 10.906 s)\n",
      "Min: 1.043 s, Max: 11.845 s\n",
      " Total: 115287.611 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Meadowbrook: 100%|██████████| 12/12 [00:00<00:00, 21.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Meadowbrook (12 lines 29.435 s)\n",
      "Min: 1.208 s, Max: 11.845 s\n",
      " Total: 115317.046 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Flash Magnus: 100%|██████████| 5/5 [00:00<00:00, 21.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Flash Magnus (5 lines 19.575 s)\n",
      "Min: 2.585 s, Max: 11.845 s\n",
      " Total: 115336.621 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Rockhoof: 100%|██████████| 80/80 [00:03<00:00, 21.48it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Rockhoof (80 lines 204.642 s)\n",
      "Min: 0.657 s, Max: 11.845 s\n",
      " Total: 115541.263 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Stygian: 100%|██████████| 5/5 [00:00<00:00, 22.36it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Stygian (5 lines 10.654 s)\n",
      "Min: 1.522 s, Max: 11.845 s\n",
      " Total: 115551.917 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Bow Hothoof: 100%|██████████| 28/28 [00:01<00:00, 21.62it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Bow Hothoof (28 lines 68.507 s)\n",
      "Min: 0.979 s, Max: 11.845 s\n",
      " Total: 115620.424 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Windy Whistles: 100%|██████████| 26/26 [00:01<00:00, 21.43it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Windy Whistles (26 lines 69.896 s)\n",
      "Min: 0.838 s, Max: 11.845 s\n",
      " Total: 115690.32 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Neighsay: 100%|██████████| 63/63 [00:03<00:00, 20.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Neighsay (63 lines 233.436 s)\n",
      "Min: 0.908 s, Max: 11.845 s\n",
      " Total: 115923.756 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sandbar: 100%|██████████| 115/115 [00:05<00:00, 21.75it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sandbar (115 lines 268.634 s)\n",
      "Min: 0.515 s, Max: 11.845 s\n",
      " Total: 116192.39 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Grampa Gruff: 100%|██████████| 6/6 [00:00<00:00, 19.94it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Grampa Gruff (6 lines 18.376 s)\n",
      "Min: 1.787 s, Max: 11.845 s\n",
      " Total: 116210.766 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Gallus: 100%|██████████| 96/96 [00:04<00:00, 21.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Gallus (96 lines 235.458 s)\n",
      "Min: 0.598 s, Max: 11.845 s\n",
      " Total: 116446.224 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Smolder: 100%|██████████| 167/167 [00:07<00:00, 21.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Smolder (167 lines 433.087 s)\n",
      "Min: 0.507 s, Max: 11.845 s\n",
      " Total: 116879.311 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Silverstream: 100%|██████████| 74/74 [00:03<00:00, 21.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Silverstream (74 lines 182.957 s)\n",
      "Min: 0.779 s, Max: 11.845 s\n",
      " Total: 117062.268 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Seaspray: 100%|██████████| 5/5 [00:00<00:00, 20.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Seaspray (5 lines 16.633 s)\n",
      "Min: 2.141 s, Max: 11.845 s\n",
      " Total: 117078.901 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Yona: 100%|██████████| 83/83 [00:03<00:00, 21.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Yona (83 lines 186.724 s)\n",
      "Min: 0.732 s, Max: 11.845 s\n",
      " Total: 117265.625 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Ocellus: 100%|██████████| 68/68 [00:03<00:00, 21.65it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Ocellus (68 lines 178.85 s)\n",
      "Min: 0.781 s, Max: 11.845 s\n",
      " Total: 117444.475 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cozy Glow: 100%|██████████| 240/240 [00:11<00:00, 21.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cozy Glow (240 lines 709.875 s)\n",
      "Min: 0.795 s, Max: 11.845 s\n",
      " Total: 118154.35 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Rolling Thunder: 100%|██████████| 5/5 [00:00<00:00, 20.92it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Rolling Thunder (5 lines 18.985 s)\n",
      "Min: 0.974 s, Max: 11.845 s\n",
      " Total: 118173.335 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Short Fuse: 100%|██████████| 1/1 [00:00<00:00, 24.39it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Short Fuse (1 lines 1.001 s)\n",
      "Min: 1.001 s, Max: 11.845 s\n",
      " Total: 118174.336 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mistmane: 100%|██████████| 1/1 [00:00<00:00, 22.79it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mistmane (1 lines 2.684 s)\n",
      "Min: 2.684 s, Max: 11.845 s\n",
      " Total: 118177.02 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sludge: 100%|██████████| 61/61 [00:02<00:00, 21.45it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sludge (61 lines 165.809 s)\n",
      "Min: 0.822 s, Max: 11.845 s\n",
      " Total: 118342.829 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mudbriar: 100%|██████████| 52/52 [00:02<00:00, 21.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mudbriar (52 lines 142.09 s)\n",
      "Min: 0.725 s, Max: 11.845 s\n",
      " Total: 118484.919 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Marble: 100%|██████████| 2/2 [00:00<00:00, 22.22it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Marble (2 lines 1.726 s)\n",
      "Min: 0.676 s, Max: 11.845 s\n",
      " Total: 118486.645 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Pursey Pink: 100%|██████████| 2/2 [00:00<00:00, 21.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Pursey Pink (2 lines 6.532 s)\n",
      "Min: 2.037 s, Max: 11.845 s\n",
      " Total: 118493.177 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Snooty Fluttershy: 100%|██████████| 23/23 [00:01<00:00, 20.79it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Snooty Fluttershy (23 lines 83.613 s)\n",
      "Min: 0.828 s, Max: 11.845 s\n",
      " Total: 118576.79 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Hipster Fluttershy: 100%|██████████| 11/11 [00:00<00:00, 21.61it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Hipster Fluttershy (11 lines 33.482 s)\n",
      "Min: 0.649 s, Max: 11.845 s\n",
      " Total: 118610.272 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Goth Fluttershy: 100%|██████████| 8/8 [00:00<00:00, 21.98it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Goth Fluttershy (8 lines 29.47 s)\n",
      "Min: 1.115 s, Max: 11.845 s\n",
      " Total: 118639.742 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Grogar: 100%|██████████| 52/52 [00:02<00:00, 20.92it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Grogar (52 lines 212.872 s)\n",
      "Min: 1.255 s, Max: 11.845 s\n",
      " Total: 118852.614 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Terramar: 100%|██████████| 77/77 [00:03<00:00, 21.29it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Terramar (77 lines 171.786 s)\n",
      "Min: 0.656 s, Max: 11.845 s\n",
      " Total: 119024.4 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Skeedaddle: 100%|██████████| 4/4 [00:00<00:00, 21.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Skeedaddle (4 lines 13.557 s)\n",
      "Min: 2.401 s, Max: 11.845 s\n",
      " Total: 119037.957 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Aunt Holiday: 100%|██████████| 11/11 [00:00<00:00, 21.36it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Aunt Holiday (11 lines 30.6 s)\n",
      "Min: 1.437 s, Max: 11.845 s\n",
      " Total: 119068.557 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Auntie Lofty: 100%|██████████| 8/8 [00:00<00:00, 20.35it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Auntie Lofty (8 lines 23.468 s)\n",
      "Min: 1.553 s, Max: 11.845 s\n",
      " Total: 119092.025 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Snap Shutter: 100%|██████████| 30/30 [00:01<00:00, 20.95it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Snap Shutter (30 lines 81.268 s)\n",
      "Min: 1.299 s, Max: 11.845 s\n",
      " Total: 119173.293 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mane Allgood: 100%|██████████| 25/25 [00:01<00:00, 21.39it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mane Allgood (25 lines 75.237 s)\n",
      "Min: 1.067 s, Max: 11.845 s\n",
      " Total: 119248.53 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sans Smirk: 100%|██████████| 38/38 [00:01<00:00, 21.49it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sans Smirk (38 lines 129.405 s)\n",
      "Min: 0.765 s, Max: 11.845 s\n",
      " Total: 119377.935 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Shimmy Shake: 100%|██████████| 6/6 [00:00<00:00, 21.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Shimmy Shake (6 lines 20.404 s)\n",
      "Min: 2.79 s, Max: 11.845 s\n",
      " Total: 119398.339 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Lighthoof: 100%|██████████| 3/3 [00:00<00:00, 20.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Lighthoof (3 lines 10.123 s)\n",
      "Min: 2.887 s, Max: 11.845 s\n",
      " Total: 119408.462 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Octavia: 100%|██████████| 16/16 [00:00<00:00, 20.98it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Octavia (16 lines 53.079 s)\n",
      "Min: 1.284 s, Max: 11.845 s\n",
      " Total: 119461.541 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Dr. Hooves: 100%|██████████| 53/53 [00:02<00:00, 21.64it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Dr. Hooves (53 lines 170.533 s)\n",
      "Min: 0.75 s, Max: 11.845 s\n",
      " Total: 119632.074 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sky Beak: 100%|██████████| 30/30 [00:01<00:00, 21.77it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sky Beak (30 lines 75.856 s)\n",
      "Min: 0.842 s, Max: 11.845 s\n",
      " Total: 119707.93 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Clear Sky: 100%|██████████| 18/18 [00:00<00:00, 21.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Clear Sky (18 lines 45.271 s)\n",
      "Min: 0.773 s, Max: 11.845 s\n",
      " Total: 119753.201 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Wind Sprint: 100%|██████████| 18/18 [00:00<00:00, 21.85it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Wind Sprint (18 lines 37.266 s)\n",
      "Min: 0.753 s, Max: 11.845 s\n",
      " Total: 119790.467 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Aria Blaze: 100%|██████████| 18/18 [00:00<00:00, 21.38it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Aria Blaze (18 lines 50.58 s)\n",
      "Min: 0.718 s, Max: 11.845 s\n",
      " Total: 119841.047 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Adagio Dazzle: 100%|██████████| 54/54 [00:02<00:00, 21.21it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Adagio Dazzle (54 lines 187.609 s)\n",
      "Min: 0.837 s, Max: 11.845 s\n",
      " Total: 120028.656 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sonata Dusk: 100%|██████████| 18/18 [00:00<00:00, 21.27it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sonata Dusk (18 lines 39.711 s)\n",
      "Min: 0.501 s, Max: 11.845 s\n",
      " Total: 120068.367 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Micro Chips: 100%|██████████| 5/5 [00:00<00:00, 20.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Micro Chips (5 lines 18.675 s)\n",
      "Min: 1.068 s, Max: 11.845 s\n",
      " Total: 120087.042 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Sky Stinger: 100%|██████████| 76/76 [00:03<00:00, 21.53it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Sky Stinger (76 lines 235.87 s)\n",
      "Min: 0.761 s, Max: 11.845 s\n",
      " Total: 120322.912 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Vapor Trail: 100%|██████████| 59/59 [00:02<00:00, 21.48it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Vapor Trail (59 lines 173.202 s)\n",
      "Min: 0.589 s, Max: 11.845 s\n",
      " Total: 120496.114 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Young Granny Smith: 100%|██████████| 1/1 [00:00<00:00, 23.42it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Young Granny Smith (1 lines 1.672 s)\n",
      "Min: 1.672 s, Max: 11.845 s\n",
      " Total: 120497.786 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Bright Mac: 100%|██████████| 82/82 [00:03<00:00, 21.03it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Bright Mac (82 lines 204.649 s)\n",
      "Min: 0.975 s, Max: 11.845 s\n",
      " Total: 120702.435 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Pear Butter: 100%|██████████| 94/94 [00:04<00:00, 21.25it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Pear Butter (94 lines 236.544 s)\n",
      "Min: 0.75 s, Max: 11.845 s\n",
      " Total: 120938.979 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Burnt Oak: 100%|██████████| 86/86 [00:04<00:00, 20.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Burnt Oak (86 lines 286.918 s)\n",
      "Min: 1.164 s, Max: 11.845 s\n",
      " Total: 121225.897 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Grand Pear: 100%|██████████| 42/42 [00:01<00:00, 21.70it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Grand Pear (42 lines 114.17 s)\n",
      "Min: 0.767 s, Max: 11.845 s\n",
      " Total: 121340.067 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Hoo'far: 100%|██████████| 98/98 [00:04<00:00, 20.83it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Hoo'far (98 lines 390.34 s)\n",
      "Min: 1.442 s, Max: 11.845 s\n",
      " Total: 121730.407 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Autumn Blaze: 100%|██████████| 161/161 [00:07<00:00, 21.60it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Autumn Blaze (161 lines 446.325 s)\n",
      "Min: 0.224 s, Max: 11.845 s\n",
      " Total: 122176.732 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Spur: 100%|██████████| 63/63 [00:03<00:00, 20.94it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Spur (63 lines 217.364 s)\n",
      "Min: 0.742 s, Max: 11.845 s\n",
      " Total: 122394.096 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Biscuit: 100%|██████████| 33/33 [00:01<00:00, 21.17it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Biscuit (33 lines 109.079 s)\n",
      "Min: 1.435 s, Max: 11.845 s\n",
      " Total: 122503.175 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Trouble Shoes: 100%|██████████| 54/54 [00:02<00:00, 20.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Trouble Shoes (54 lines 235.061 s)\n",
      "Min: 1.619 s, Max: 11.845 s\n",
      " Total: 122738.236 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Goldgrape: 100%|██████████| 2/2 [00:00<00:00, 21.27it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Goldgrape (2 lines 7.512 s)\n",
      "Min: 2.348 s, Max: 11.845 s\n",
      " Total: 122745.748 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Tourist Pony: 100%|██████████| 7/7 [00:00<00:00, 21.72it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Tourist Pony (7 lines 16.512 s)\n",
      "Min: 0.613 s, Max: 11.845 s\n",
      " Total: 122762.26 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Photographer: 100%|██████████| 14/14 [00:00<00:00, 21.39it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Photographer (14 lines 30.102 s)\n",
      "Min: 0.631 s, Max: 11.845 s\n",
      " Total: 122792.362 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mean Pinkie Pie: 100%|██████████| 9/9 [00:00<00:00, 20.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mean Pinkie Pie (9 lines 25.674 s)\n",
      "Min: 0.941 s, Max: 11.845 s\n",
      " Total: 122818.036 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mean Fluttershy: 100%|██████████| 8/8 [00:00<00:00, 20.94it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mean Fluttershy (8 lines 20.443 s)\n",
      "Min: 1.277 s, Max: 11.845 s\n",
      " Total: 122838.479 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mean Rarity: 100%|██████████| 20/20 [00:00<00:00, 21.82it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mean Rarity (20 lines 36.417 s)\n",
      "Min: 0.965 s, Max: 11.845 s\n",
      " Total: 122874.896 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mean Applejack: 100%|██████████| 31/31 [00:01<00:00, 21.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mean Applejack (31 lines 73.59 s)\n",
      "Min: 0.493 s, Max: 11.845 s\n",
      " Total: 122948.486 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mean Rainbow Dash: 100%|██████████| 4/4 [00:00<00:00, 22.26it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mean Rainbow Dash (4 lines 7.499 s)\n",
      "Min: 1.423 s, Max: 11.845 s\n",
      " Total: 122955.985 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Mean Twilight Sparkle: 100%|██████████| 41/41 [00:01<00:00, 21.37it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Mean Twilight Sparkle (41 lines 85.01 s)\n",
      "Min: 0.906 s, Max: 11.845 s\n",
      " Total: 123040.995 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Apple Rose: 100%|██████████| 20/20 [00:00<00:00, 21.69it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Apple Rose (20 lines 60.32 s)\n",
      "Min: 1.127 s, Max: 11.845 s\n",
      " Total: 123101.315 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Auntie Applesauce: 100%|██████████| 16/16 [00:00<00:00, 21.01it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Auntie Applesauce (16 lines 64.508 s)\n",
      "Min: 1.996 s, Max: 11.845 s\n",
      " Total: 123165.823 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Luggage Cart: 100%|██████████| 4/4 [00:00<00:00, 22.04it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Luggage Cart (4 lines 12.215 s)\n",
      "Min: 2.252 s, Max: 11.845 s\n",
      " Total: 123178.038 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Cranberry Muffin: 100%|██████████| 4/4 [00:00<00:00, 21.71it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Cranberry Muffin (4 lines 15.547 s)\n",
      "Min: 1.838 s, Max: 11.845 s\n",
      " Total: 123193.585 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Tight End: 100%|██████████| 1/1 [00:00<00:00, 20.41it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Tight End (1 lines 3.707 s)\n",
      "Min: 3.707 s, Max: 11.845 s\n",
      " Total: 123197.292 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Carnival Barker: 100%|██████████| 5/5 [00:00<00:00, 22.33it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Carnival Barker (5 lines 14.348 s)\n",
      "Min: 1.791 s, Max: 11.845 s\n",
      " Total: 123211.64 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Jack Pot: 100%|██████████| 13/13 [00:00<00:00, 21.61it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Jack Pot (13 lines 36.934 s)\n",
      "Min: 1.126 s, Max: 11.845 s\n",
      " Total: 123248.574 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Big Bucks: 100%|██████████| 7/7 [00:00<00:00, 20.65it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Big Bucks (7 lines 24.215 s)\n",
      "Min: 1.709 s, Max: 11.845 s\n",
      " Total: 123272.789 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character All Aboard: 100%|██████████| 3/3 [00:00<00:00, 21.85it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: All Aboard (3 lines 6.457 s)\n",
      "Min: 1.089 s, Max: 11.845 s\n",
      " Total: 123279.246 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Ocean Flow: 100%|██████████| 20/20 [00:00<00:00, 21.89it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Ocean Flow (20 lines 46.829 s)\n",
      "Min: 0.744 s, Max: 11.845 s\n",
      " Total: 123326.075 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character On Stage: 100%|██████████| 11/11 [00:00<00:00, 21.07it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: On Stage (11 lines 30.325 s)\n",
      "Min: 1.649 s, Max: 11.845 s\n",
      " Total: 123356.4 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Raspberry Beret: 100%|██████████| 10/10 [00:00<00:00, 21.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Raspberry Beret (10 lines 26.255 s)\n",
      "Min: 0.855 s, Max: 11.845 s\n",
      " Total: 123382.655 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Firelight: 100%|██████████| 48/48 [00:02<00:00, 21.21it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Firelight (48 lines 166.31 s)\n",
      "Min: 0.965 s, Max: 11.845 s\n",
      " Total: 123548.965 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Stellar Flare: 100%|██████████| 51/51 [00:02<00:00, 21.43it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Stellar Flare (51 lines 147.953 s)\n",
      "Min: 0.625 s, Max: 11.845 s\n",
      " Total: 123696.918 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Files for character Luster Dawn: 100%|██████████| 26/26 [00:01<00:00, 21.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Character: Luster Dawn (26 lines 96.218 s)\n",
      "Min: 1.779 s, Max: 11.845 s\n",
      " Total: 123793.136 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "from ppp import PPPDataset\n",
    "data = PPPDataset.collect([])\n",
    "char_dict = data.stats()\n",
    "\n",
    "def fmt_seconds(seconds):\n",
    "    hours = seconds // 3600\n",
    "    minutes = (seconds % 3600) // 60\n",
    "    seconds = seconds % 60\n",
    "    return f\"{int(hours):02d}:{int(minutes):02d}:{int(seconds):02d}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16202.445\n"
     ]
    },
    {
     "ename": "KeyError",
     "evalue": "100000000",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[1;32mIn [3], line 12\u001b[0m\n\u001b[0;32m     10\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;28mstr\u001b[39m(v))\n\u001b[0;32m     11\u001b[0m     magnitude \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m10\u001b[39m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m (\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mstr\u001b[39m(v)) \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m---> 12\u001b[0m     \u001b[43mmagnitude_lists\u001b[49m\u001b[43m[\u001b[49m\u001b[43mmagnitude\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mappend(tup)\n\u001b[0;32m     14\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m magnitude, items \u001b[38;5;129;01min\u001b[39;00m magnitude_lists\u001b[38;5;241m.\u001b[39mitems():\n\u001b[0;32m     15\u001b[0m     k,v \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mzip\u001b[39m(\u001b[38;5;241m*\u001b[39mmagnitude_lists[magnitude])\n",
      "\u001b[1;31mKeyError\u001b[0m: 100000000"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "sorted_char_list = sorted(char_dict.items(), key=lambda x: x[1], reverse=True)\n",
    "magnitude_lists = {10000: [], 1000:[], 100:[], 10:[], 1:[]}\n",
    "\n",
    "for tup in sorted_char_list:\n",
    "    k,v = tup\n",
    "    print(str(v))\n",
    "    magnitude = 10 ** (len(str(int(v))) - 1)\n",
    "    magnitude_lists[magnitude].append(tup)\n",
    "\n",
    "for magnitude, items in magnitude_lists.items():\n",
    "    k,v = zip(*magnitude_lists[magnitude])\n",
    "    colors = plt.cm.magma(np.linspace(0, 1, len(k)))\n",
    "\n",
    "    df = pd.DataFrame(items, columns=['character','duration'])\n",
    "    df = df[::-1]\n",
    "\n",
    "    plt.figure(figsize=(7,len(k)))\n",
    "    bars = plt.barh(df['character'],df['duration'],color=colors, height=0.8)\n",
    "    for bar, value in zip(bars, df['duration']):\n",
    "        plt.text(bar.get_width(), bar.get_y() + bar.get_height() / 2, fmt_seconds(value), ha='left', va='center')\n",
    "\n",
    "    plt.ylabel('Characters')\n",
    "    plt.xlabel('Duration')\n",
    "    plt.savefig(f'PPPData_dur_{int(magnitude)}s.png', bbox_inches='tight', pad_inches=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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