05_text-generation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncomment and run this cell if you're on Colab or Kaggle\n",
    "# !git clone https://github.com/nlp-with-transformers/notebooks.git\n",
    "# %cd notebooks\n",
    "# from install import *\n",
    "# install_requirements()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using transformers v4.11.3\n",
      "Using datasets v1.13.0\n",
      "Using accelerate v0.5.1\n"
     ]
    }
   ],
   "source": [
    "# hide\n",
    "from utils import *\n",
    "setup_chapter()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Text Generation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img alt=\"LM Meta Learning\" width=\"800\" caption=\"During pretraining, language models are exposed to sequences of tasks that can be adapted during inference (courtesy of Tom B. Brown)\" src=\"images/chapter05_lm-meta-learning.png\" id=\"lm-meta-learning\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img alt=\"Meena\" width=\"300\" caption=\"Meena on the left telling a corny joke to a human on the right (courtesy of Daniel Adiwardana and Thang Luong)\" src=\"images/chapter05_meena.png\" id=\"meena\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Challenge with Generating Coherent Text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img alt=\"Text generation\" width=\"700\" caption=\"Generating text from an input sequence by adding a new word to the input at each step\" src=\"images/chapter05_text-generation.png\" id=\"text-generation\"/> "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Greedy Search Decoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# hide_output\n",
    "import torch\n",
    "from transformers import AutoTokenizer, AutoModelForCausalLM\n",
    "\n",
    "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
    "model_name = \"gpt2-xl\"\n",
    "tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
    "model = AutoModelForCausalLM.from_pretrained(model_name).to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Input</th>\n",
       "      <th>Choice 1</th>\n",
       "      <th>Choice 2</th>\n",
       "      <th>Choice 3</th>\n",
       "      <th>Choice 4</th>\n",
       "      <th>Choice 5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Transformers are the</td>\n",
       "      <td>most (8.53%)</td>\n",
       "      <td>only (4.96%)</td>\n",
       "      <td>best (4.65%)</td>\n",
       "      <td>Transformers (4.37%)</td>\n",
       "      <td>ultimate (2.16%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Transformers are the most</td>\n",
       "      <td>popular (16.78%)</td>\n",
       "      <td>powerful (5.37%)</td>\n",
       "      <td>common (4.96%)</td>\n",
       "      <td>famous (3.72%)</td>\n",
       "      <td>successful (3.20%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Transformers are the most popular</td>\n",
       "      <td>toy (10.63%)</td>\n",
       "      <td>toys (7.23%)</td>\n",
       "      <td>Transformers (6.60%)</td>\n",
       "      <td>of (5.46%)</td>\n",
       "      <td>and (3.76%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Transformers are the most popular toy</td>\n",
       "      <td>line (34.38%)</td>\n",
       "      <td>in (18.20%)</td>\n",
       "      <td>of (11.71%)</td>\n",
       "      <td>brand (6.10%)</td>\n",
       "      <td>line (2.69%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Transformers are the most popular toy line</td>\n",
       "      <td>in (46.28%)</td>\n",
       "      <td>of (15.09%)</td>\n",
       "      <td>, (4.94%)</td>\n",
       "      <td>on (4.40%)</td>\n",
       "      <td>ever (2.72%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Transformers are the most popular toy line in</td>\n",
       "      <td>the (65.99%)</td>\n",
       "      <td>history (12.42%)</td>\n",
       "      <td>America (6.91%)</td>\n",
       "      <td>Japan (2.44%)</td>\n",
       "      <td>North (1.40%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Transformers are the most popular toy line in the</td>\n",
       "      <td>world (69.26%)</td>\n",
       "      <td>United (4.55%)</td>\n",
       "      <td>history (4.29%)</td>\n",
       "      <td>US (4.23%)</td>\n",
       "      <td>U (2.30%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Transformers are the most popular toy line in ...</td>\n",
       "      <td>, (39.73%)</td>\n",
       "      <td>. (30.64%)</td>\n",
       "      <td>and (9.87%)</td>\n",
       "      <td>with (2.32%)</td>\n",
       "      <td>today (1.74%)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Input           Choice 1  \\\n",
       "0                               Transformers are the       most (8.53%)   \n",
       "1                          Transformers are the most   popular (16.78%)   \n",
       "2                  Transformers are the most popular       toy (10.63%)   \n",
       "3              Transformers are the most popular toy      line (34.38%)   \n",
       "4         Transformers are the most popular toy line        in (46.28%)   \n",
       "5      Transformers are the most popular toy line in       the (65.99%)   \n",
       "6  Transformers are the most popular toy line in the     world (69.26%)   \n",
       "7  Transformers are the most popular toy line in ...         , (39.73%)   \n",
       "\n",
       "            Choice 2               Choice 3               Choice 4  \\\n",
       "0       only (4.96%)           best (4.65%)   Transformers (4.37%)   \n",
       "1   powerful (5.37%)         common (4.96%)         famous (3.72%)   \n",
       "2       toys (7.23%)   Transformers (6.60%)             of (5.46%)   \n",
       "3        in (18.20%)            of (11.71%)          brand (6.10%)   \n",
       "4        of (15.09%)              , (4.94%)             on (4.40%)   \n",
       "5   history (12.42%)        America (6.91%)          Japan (2.44%)   \n",
       "6     United (4.55%)        history (4.29%)             US (4.23%)   \n",
       "7         . (30.64%)            and (9.87%)           with (2.32%)   \n",
       "\n",
       "              Choice 5  \n",
       "0     ultimate (2.16%)  \n",
       "1   successful (3.20%)  \n",
       "2          and (3.76%)  \n",
       "3         line (2.69%)  \n",
       "4         ever (2.72%)  \n",
       "5        North (1.40%)  \n",
       "6            U (2.30%)  \n",
       "7        today (1.74%)  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# hide_output\n",
    "import pandas as pd\n",
    "\n",
    "input_txt = \"Transformers are the\"\n",
    "input_ids = tokenizer(input_txt, return_tensors=\"pt\")[\"input_ids\"].to(device)\n",
    "iterations = []\n",
    "n_steps = 8\n",
    "choices_per_step = 5\n",
    "\n",
    "with torch.no_grad():\n",
    "    for _ in range(n_steps):\n",
    "        iteration = dict()\n",
    "        iteration[\"Input\"] = tokenizer.decode(input_ids[0])\n",
    "        output = model(input_ids=input_ids)\n",
    "        # Select logits of the first batch and the last token and apply softmax\n",
    "        next_token_logits = output.logits[0, -1, :]\n",
    "        next_token_probs = torch.softmax(next_token_logits, dim=-1)\n",
    "        sorted_ids = torch.argsort(next_token_probs, dim=-1, descending=True)\n",
    "        # Store tokens with highest probabilities\n",
    "        for choice_idx in range(choices_per_step):\n",
    "            token_id = sorted_ids[choice_idx]\n",
    "            token_prob = next_token_probs[token_id].cpu().numpy()\n",
    "            token_choice = (\n",
    "                f\"{tokenizer.decode(token_id)} ({100 * token_prob:.2f}%)\"\n",
    "            )\n",
    "            iteration[f\"Choice {choice_idx+1}\"] = token_choice\n",
    "        # Append predicted next token to input\n",
    "        input_ids = torch.cat([input_ids, sorted_ids[None, 0, None]], dim=-1)\n",
    "        iterations.append(iteration)\n",
    "        \n",
    "pd.DataFrame(iterations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Transformers are the most popular toy line in the world,\n"
     ]
    }
   ],
   "source": [
    "input_ids = tokenizer(input_txt, return_tensors=\"pt\")[\"input_ids\"].to(device)\n",
    "output = model.generate(input_ids, max_new_tokens=n_steps, do_sample=False)\n",
    "print(tokenizer.decode(output[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In a shocking finding, scientist discovered a herd of unicorns living in a\n",
      "remote, previously unexplored valley, in the Andes Mountains. Even more\n",
      "surprising to the researchers was the fact that the unicorns spoke perfect\n",
      "English.\n",
      "\n",
      "\n",
      "The researchers, from the University of California, Davis, and the University of\n",
      "Colorado, Boulder, were conducting a study on the Andean cloud forest, which is\n",
      "home to the rare species of cloud forest trees.\n",
      "\n",
      "\n",
      "The researchers were surprised to find that the unicorns were able to\n",
      "communicate with each other, and even with humans.\n",
      "\n",
      "\n",
      "The researchers were surprised to find that the unicorns were able\n"
     ]
    }
   ],
   "source": [
    "max_length = 128\n",
    "input_txt = \"\"\"In a shocking finding, scientist discovered \\\n",
    "a herd of unicorns living in a remote, previously unexplored \\\n",
    "valley, in the Andes Mountains. Even more surprising to the \\\n",
    "researchers was the fact that the unicorns spoke perfect English.\\n\\n\n",
    "\"\"\"\n",
    "input_ids = tokenizer(input_txt, return_tensors=\"pt\")[\"input_ids\"].to(device)\n",
    "output_greedy = model.generate(input_ids, max_length=max_length, \n",
    "                               do_sample=False)\n",
    "print(tokenizer.decode(output_greedy[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Beam Search Decoding"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img alt=\"Beam search\" width=\"700\" caption=\"Beam search with two beams—the most probable sequences at each timestep are highlighted in blue\" src=\"images/chapter05_beam-search.png\" id=\"beam-search\"/> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.562684646268003e-309"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0.5 ** 1024"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-709.7827128933695"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "sum([np.log(0.5)] * 1024)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.nn.functional as F\n",
    "\n",
    "def log_probs_from_logits(logits, labels):\n",
    "    logp = F.log_softmax(logits, dim=-1)\n",
    "    logp_label = torch.gather(logp, 2, labels.unsqueeze(2)).squeeze(-1)\n",
    "    return logp_label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sequence_logprob(model, labels, input_len=0):\n",
    "    with torch.no_grad():\n",
    "        output = model(labels)\n",
    "        log_probs = log_probs_from_logits(\n",
    "            output.logits[:, :-1, :], labels[:, 1:])\n",
    "        seq_log_prob = torch.sum(log_probs[:, input_len:])\n",
    "    return seq_log_prob.cpu().numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In a shocking finding, scientist discovered a herd of unicorns living in a\n",
      "remote, previously unexplored valley, in the Andes Mountains. Even more\n",
      "surprising to the researchers was the fact that the unicorns spoke perfect\n",
      "English.\n",
      "\n",
      "\n",
      "The researchers, from the University of California, Davis, and the University of\n",
      "Colorado, Boulder, were conducting a study on the Andean cloud forest, which is\n",
      "home to the rare species of cloud forest trees.\n",
      "\n",
      "\n",
      "The researchers were surprised to find that the unicorns were able to\n",
      "communicate with each other, and even with humans.\n",
      "\n",
      "\n",
      "The researchers were surprised to find that the unicorns were able\n",
      "\n",
      "log-prob: -87.43\n"
     ]
    }
   ],
   "source": [
    "logp = sequence_logprob(model, output_greedy, input_len=len(input_ids[0]))\n",
    "print(tokenizer.decode(output_greedy[0]))\n",
    "print(f\"\\nlog-prob: {logp:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In a shocking finding, scientist discovered a herd of unicorns living in a\n",
      "remote, previously unexplored valley, in the Andes Mountains. Even more\n",
      "surprising to the researchers was the fact that the unicorns spoke perfect\n",
      "English.\n",
      "\n",
      "\n",
      "The discovery of the unicorns was made by a team of scientists from the\n",
      "University of California, Santa Cruz, and the National Geographic Society.\n",
      "\n",
      "\n",
      "The scientists were conducting a study of the Andes Mountains when they\n",
      "discovered a herd of unicorns living in a remote, previously unexplored valley,\n",
      "in the Andes Mountains. Even more surprising to the researchers was the fact\n",
      "that the unicorns spoke perfect English\n",
      "\n",
      "log-prob: -55.23\n"
     ]
    }
   ],
   "source": [
    "output_beam = model.generate(input_ids, max_length=max_length, num_beams=5, \n",
    "                             do_sample=False)\n",
    "logp = sequence_logprob(model, output_beam, input_len=len(input_ids[0]))\n",
    "print(tokenizer.decode(output_beam[0]))\n",
    "print(f\"\\nlog-prob: {logp:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In a shocking finding, scientist discovered a herd of unicorns living in a\n",
      "remote, previously unexplored valley, in the Andes Mountains. Even more\n",
      "surprising to the researchers was the fact that the unicorns spoke perfect\n",
      "English.\n",
      "\n",
      "\n",
      "The discovery was made by a team of scientists from the University of\n",
      "California, Santa Cruz, and the National Geographic Society.\n",
      "\n",
      "According to a press release, the scientists were conducting a survey of the\n",
      "area when they came across the herd. They were surprised to find that they were\n",
      "able to converse with the animals in English, even though they had never seen a\n",
      "unicorn in person before. The researchers were\n",
      "\n",
      "log-prob: -93.12\n"
     ]
    }
   ],
   "source": [
    "output_beam = model.generate(input_ids, max_length=max_length, num_beams=5, \n",
    "                             do_sample=False, no_repeat_ngram_size=2)\n",
    "logp = sequence_logprob(model, output_beam, input_len=len(input_ids[0]))\n",
    "print(tokenizer.decode(output_beam[0]))\n",
    "print(f\"\\nlog-prob: {logp:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sampling Methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/pdf": "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\n",
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"265.04pt\" version=\"1.1\" viewBox=\"0 0 399.644375 265.04\" width=\"399.644375pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-10-29T11:51:46.149561</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 265.04 \nL 399.644375 265.04 \nL 399.644375 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 57.644375 224.64 \nL 392.444375 224.64 \nL 392.444375 7.2 \nL 57.644375 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m2de233ed6b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"72.862557\" xlink:href=\"#m2de233ed6b\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(69.652557 240.44875)scale(0.12 -0.12)\">\n       <defs>\n        <path d=\"M 26.90625 -1.09375 \nC 41.5 -1.09375 49.296875 10.09375 49.296875 32.203125 \nL 49.296875 37.59375 \nC 49.296875 60.796875 40.59375 70.296875 26.796875 70.296875 \nC 12.796875 70.296875 4.203125 59.90625 4.203125 37 \nL 4.203125 31.90625 \nC 4.203125 7.796875 13.203125 -1.09375 26.90625 -1.09375 \nz\nM 27 6 \nC 16.703125 6 13.203125 15.296875 13.203125 31.5 \nL 13.203125 38.90625 \nC 13.203125 54.59375 17 63.296875 26.703125 63.296875 \nC 36.5 63.296875 40.5 54.90625 40.5 38.40625 \nL 40.5 30.90625 \nC 40.5 14.59375 37.09375 6 27 6 \nz\n\" id=\"GuardianSansCond-Regular-48\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"133.796218\" xlink:href=\"#m2de233ed6b\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(124.826218 240.44875)scale(0.12 -0.12)\">\n       <defs>\n        <path d=\"M 2.703125 0 \nL 38.59375 0 \nL 38.59375 7.203125 \nL 12.5 7.203125 \nL 12.5 7.5 \nL 24.59375 22.203125 \nC 32.296875 31.796875 37.796875 39.5 37.796875 51 \nC 37.796875 62.90625 31.703125 70.296875 19.09375 70.296875 \nC 12.59375 70.296875 7.796875 68.90625 4.203125 66.90625 \nL 4.203125 60.203125 \nC 7.296875 61.703125 11.40625 63 16.5 63 \nC 25.296875 63 28.90625 58.59375 28.90625 50.203125 \nC 28.90625 41.09375 24.09375 34.203125 18 26.09375 \nL 2.703125 6.203125 \nz\n\" id=\"GuardianSansCond-Regular-50\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-50\"/>\n       <use x=\"42.499985\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"95.999969\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"194.729879\" xlink:href=\"#m2de233ed6b\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(185.465504 240.44875)scale(0.12 -0.12)\">\n       <defs>\n        <path d=\"M 28.203125 0 \nL 36.40625 0 \nL 36.40625 17.296875 \nL 46.203125 17.296875 \nL 46.203125 24.40625 \nL 36.40625 24.40625 \nL 36.40625 69.296875 \nL 29.203125 69.296875 \nL 1.09375 23.5 \nL 1.09375 17.296875 \nL 28.203125 17.296875 \nz\nM 9.5 24.40625 \nL 9.5 24.703125 \nL 27.796875 54.296875 \nL 28.203125 54.296875 \nL 28.203125 24.40625 \nz\n\" id=\"GuardianSansCond-Regular-52\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-52\"/>\n       <use x=\"47.399994\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"100.899979\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"255.66354\" xlink:href=\"#m2de233ed6b\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(246.309165 240.44875)scale(0.12 -0.12)\">\n       <defs>\n        <path d=\"M 25.5 6 \nC 16.90625 6 13.203125 14.296875 13.203125 28.703125 \nL 13.203125 32.09375 \nC 15.5 33.59375 19.59375 35.59375 24.90625 35.59375 \nC 32.59375 35.59375 36.296875 31 36.296875 21.203125 \nC 36.296875 11.59375 32.59375 6 25.5 6 \nz\nM 25.5 -1.09375 \nC 38.09375 -1.09375 45.09375 8.5 45.09375 22 \nC 45.09375 34.90625 38.90625 42.90625 27.40625 42.90625 \nC 21.296875 42.90625 16.5 40.796875 13.203125 38.203125 \nC 13.703125 60.203125 22.5 63.09375 31.703125 63.09375 \nC 35.796875 63.09375 39.90625 62.09375 42 61.40625 \nL 42 68 \nC 39.796875 69.40625 35.5 70.296875 30.59375 70.296875 \nC 16.296875 70.296875 4.296875 62.203125 4.296875 34.5 \nL 4.296875 28.796875 \nC 4.296875 10.796875 11.203125 -1.09375 25.5 -1.09375 \nz\n\" id=\"GuardianSansCond-Regular-54\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-54\"/>\n       <use x=\"48.899994\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"102.399979\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.597201\" xlink:href=\"#m2de233ed6b\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(307.212826 240.44875)scale(0.12 -0.12)\">\n       <defs>\n        <path d=\"M 24.703125 -1 \nC 38.203125 -1 45.796875 7.296875 45.796875 17.796875 \nC 45.796875 27.5 40.5 32.40625 32.90625 36.40625 \nC 38.90625 39.703125 44.09375 45.296875 44.09375 53.5 \nC 44.09375 63.703125 37.40625 70.296875 25.09375 70.296875 \nC 12.796875 70.296875 6 62.703125 6 53.09375 \nC 6 44.5 10.59375 39.203125 16.703125 35.703125 \nC 9.40625 32.09375 3.59375 26.296875 3.59375 16.90625 \nC 3.59375 6 11.09375 -1 24.703125 -1 \nz\nM 24.796875 6.09375 \nC 16.90625 6.09375 12 10.59375 12 17.59375 \nC 12 24.703125 16.203125 29.59375 22.09375 32.5 \nC 31.703125 28 37.296875 24.59375 37.296875 16.90625 \nC 37.296875 9.59375 32.09375 6.09375 24.796875 6.09375 \nz\nM 27.40625 39.40625 \nC 18.90625 43.40625 14.5 47.203125 14.5 53.59375 \nC 14.5 59.703125 18.296875 63.296875 25.09375 63.296875 \nC 32.296875 63.296875 35.703125 59.09375 35.703125 53.09375 \nC 35.703125 47 32.796875 43.203125 27.40625 39.40625 \nz\n\" id=\"GuardianSansCond-Regular-56\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-56\"/>\n       <use x=\"49.399994\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"102.899979\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.530861\" xlink:href=\"#m2de233ed6b\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(366.173049 240.44875)scale(0.12 -0.12)\">\n       <defs>\n        <path d=\"M 13 0 \nL 21.296875 0 \nL 21.296875 69.90625 \nL 18.296875 69.90625 \nL 2.203125 63.796875 \nL 2.203125 59 \nL 13 60.09375 \nz\n\" id=\"GuardianSansCond-Regular-49\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-49\"/>\n       <use x=\"28.799988\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"82.299973\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"135.799957\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_7\">\n     <!-- Sorted token probabilities -->\n     <g transform=\"translate(170.45375 255.54875)scale(0.12 -0.12)\">\n      <defs>\n       <path d=\"M 18.5 -1.09375 \nC 33.40625 -1.09375 39.203125 7.796875 39.203125 19.5 \nC 39.203125 31.703125 33 35.296875 24.40625 39.09375 \nL 19.40625 41.296875 \nC 13.40625 43.90625 11.40625 46.40625 11.40625 52.5 \nC 11.40625 59.5 15.40625 63.09375 22.796875 63.09375 \nC 28.796875 63.09375 33.5 61.5 36.5 60 \nL 36.5 67.203125 \nC 33.703125 68.703125 29.90625 70.296875 22.90625 70.296875 \nC 10.203125 70.296875 3.09375 63.40625 3.09375 51.90625 \nC 3.09375 41.203125 8.5 36.703125 16 33.40625 \nL 21 31.203125 \nC 27.5 28.296875 30.59375 26.203125 30.59375 18.703125 \nC 30.59375 10.296875 26.59375 6.203125 17.90625 6.203125 \nC 12.40625 6.203125 6.90625 8 2.59375 10.09375 \nL 2.59375 2.90625 \nC 6.09375 0.796875 11.296875 -1.09375 18.5 -1.09375 \nz\n\" id=\"GuardianSansCond-Regular-83\"/>\n       <path d=\"M 22.796875 -0.796875 \nC 35.5 -0.796875 42.703125 8.90625 42.703125 24.09375 \nL 42.703125 27.296875 \nC 42.703125 43.296875 35.796875 52.09375 22.796875 52.09375 \nC 10.296875 52.09375 2.90625 42.40625 2.90625 27.203125 \nL 2.90625 23.90625 \nC 2.90625 8.296875 9.59375 -0.796875 22.796875 -0.796875 \nz\nM 22.90625 5.90625 \nC 15.5 5.90625 11.296875 11.90625 11.296875 23 \nL 11.296875 28.40625 \nC 11.296875 38.296875 14.796875 45.40625 22.703125 45.40625 \nC 30 45.40625 34.296875 40 34.296875 28.203125 \nL 34.296875 22.90625 \nC 34.296875 12.90625 30.59375 5.90625 22.90625 5.90625 \nz\n\" id=\"GuardianSansCond-Regular-111\"/>\n       <path d=\"M 5.40625 0 \nL 13.59375 0 \nL 13.59375 40.703125 \nC 16.59375 43 20.40625 44.40625 24.796875 44.40625 \nC 25.59375 44.40625 27 44.296875 27.90625 44.203125 \nL 27.90625 51.59375 \nC 27.296875 51.796875 26.203125 52 25.09375 52 \nC 20.40625 52 16.09375 49.09375 13.59375 45.90625 \nL 13.203125 45.90625 \nL 13.203125 51.296875 \nL 5.40625 51.296875 \nz\n\" id=\"GuardianSansCond-Regular-114\"/>\n       <path d=\"M 19.09375 -0.59375 \nC 22.90625 -0.59375 25.296875 0.40625 26.90625 1.40625 \nL 26.90625 6.90625 \nC 25.5 6.5 23.703125 6.09375 21.59375 6.09375 \nC 17.296875 6.09375 15.703125 7.5 15.703125 12.203125 \nL 15.703125 44.5 \nL 26.296875 44.5 \nL 26.296875 51.296875 \nL 15.703125 51.296875 \nL 15.703125 63.296875 \nL 7.59375 63.296875 \nL 7.59375 51.296875 \nL 1.5 51.296875 \nL 1.5 44.5 \nL 7.59375 44.5 \nL 7.59375 11.09375 \nC 7.59375 2.5 12.09375 -0.59375 19.09375 -0.59375 \nz\n\" id=\"GuardianSansCond-Regular-116\"/>\n       <path d=\"M 24.296875 -0.796875 \nC 31 -0.796875 36.203125 1.59375 38.59375 3.796875 \nL 38.59375 9.796875 \nC 35 7.796875 30.703125 6.203125 25.203125 6.203125 \nC 16.203125 6.203125 11.59375 10.90625 11.296875 22.90625 \nL 39.90625 22.90625 \nL 39.90625 28.09375 \nC 39.90625 45.203125 34 52.09375 21.90625 52.09375 \nC 10.296875 52.09375 2.90625 43.90625 2.90625 26.90625 \nL 2.90625 24.203125 \nC 2.90625 7.796875 9.90625 -0.796875 24.296875 -0.796875 \nz\nM 21.59375 45.40625 \nC 28.59375 45.40625 31.40625 40.796875 31.40625 29.59375 \nL 11.296875 29.59375 \nC 11.5 41.09375 15.5 45.40625 21.59375 45.40625 \nz\n\" id=\"GuardianSansCond-Regular-101\"/>\n       <path d=\"M 21.203125 -0.796875 \nC 26.40625 -0.796875 30.703125 1.203125 33.203125 3.796875 \nL 33.59375 3.796875 \nL 34.296875 0 \nL 41.203125 0 \nL 41.203125 73.40625 \nL 33.09375 73.40625 \nL 33.09375 49.59375 \nC 30.90625 51 27.09375 52.09375 22.90625 52.09375 \nC 9.90625 52.09375 3.09375 42.796875 3.09375 26.09375 \nL 3.09375 23.796875 \nC 3.09375 5.296875 11.296875 -0.796875 21.203125 -0.796875 \nz\nM 23.5 5.90625 \nC 15.5 5.90625 11.59375 11.703125 11.59375 24.09375 \nL 11.59375 27 \nC 11.59375 39.703125 15.296875 45.203125 24 45.203125 \nC 27.796875 45.203125 31.296875 44.296875 33.09375 43.09375 \nL 33.09375 9.296875 \nC 31 7.703125 27.703125 5.90625 23.5 5.90625 \nz\n\" id=\"GuardianSansCond-Regular-100\"/>\n       <path id=\"GuardianSansCond-Regular-32\"/>\n       <path d=\"M 13.59375 73.40625 \nL 5.40625 73.40625 \nL 5.40625 0 \nL 13.59375 0 \nz\nM 15.203125 26.5 \nL 31 0 \nL 40.5 0 \nL 24.203125 27.203125 \nL 39.296875 51.296875 \nL 30.296875 51.296875 \nz\n\" id=\"GuardianSansCond-Regular-107\"/>\n       <path d=\"M 5.40625 0 \nL 13.59375 0 \nL 13.59375 42 \nC 16.203125 43.40625 20.40625 45.09375 24.796875 45.09375 \nC 30.703125 45.09375 32.703125 43.203125 32.703125 38.40625 \nL 32.703125 0 \nL 40.796875 0 \nL 40.796875 39.5 \nC 40.796875 48.203125 36.59375 52.09375 28.296875 52.09375 \nC 22.5 52.09375 17.296875 49.90625 13.59375 47.203125 \nL 13.203125 47.203125 \nL 13.203125 51.296875 \nL 5.40625 51.296875 \nz\n\" id=\"GuardianSansCond-Regular-110\"/>\n       <path d=\"M 5.40625 -19.09375 \nL 13.59375 -19.09375 \nL 13.59375 2 \nC 15.703125 0.59375 19.40625 -0.796875 24.09375 -0.796875 \nC 37.09375 -0.796875 43.5 8.203125 43.5 25 \nL 43.5 28.40625 \nC 43.5 45.5 36.59375 52.09375 26.09375 52.09375 \nC 20.59375 52.09375 16.09375 49.796875 13.59375 47.40625 \nL 13.203125 47.40625 \nL 13.203125 51.296875 \nL 5.40625 51.296875 \nz\nM 22.90625 5.90625 \nC 18.90625 5.90625 15.203125 7.203125 13.59375 8.40625 \nL 13.59375 42 \nC 15.5 43.5 19.203125 45.203125 23.796875 45.203125 \nC 31.796875 45.203125 35.09375 40.203125 35.09375 28.09375 \nL 35.09375 24.203125 \nC 35.09375 11.59375 31.296875 5.90625 22.90625 5.90625 \nz\n\" id=\"GuardianSansCond-Regular-112\"/>\n       <path d=\"M 21.59375 -1 \nC 36.203125 -1 43.5 8.296875 43.5 25.296875 \nL 43.5 28.796875 \nC 43.5 46.796875 35.703125 52.09375 26.59375 52.09375 \nC 20.90625 52.09375 16.796875 50.296875 14 48.5 \nL 13.59375 48.5 \nL 13.59375 73.40625 \nL 5.40625 73.40625 \nL 5.40625 1.59375 \nC 8.703125 0.296875 15.703125 -1 21.59375 -1 \nz\nM 22 5.90625 \nC 18.203125 5.90625 15.296875 6.5 13.59375 7.09375 \nL 13.59375 42.703125 \nC 15.5 43.59375 19 45.203125 23.296875 45.203125 \nC 31.296875 45.203125 35.09375 41.40625 35.09375 28.40625 \nL 35.09375 24.203125 \nC 35.09375 9.796875 29.296875 5.90625 22 5.90625 \nz\n\" id=\"GuardianSansCond-Regular-98\"/>\n       <path d=\"M 16.90625 -0.796875 \nC 21.796875 -0.796875 25.59375 1.203125 27.796875 3.59375 \nL 28.296875 3.59375 \nL 29.09375 0 \nL 35.796875 0 \nL 35.796875 37.703125 \nC 35.796875 47.296875 30.59375 52.09375 20.203125 52.09375 \nC 14.296875 52.09375 9.90625 50.90625 6.40625 49.296875 \nL 6.40625 43.296875 \nC 9 44.203125 12.59375 45.09375 17.09375 45.09375 \nC 25 45.09375 27.59375 42.796875 27.59375 35.59375 \nL 27.59375 30.59375 \nL 17 29 \nC 7.5 27.59375 2.5 22.90625 2.5 13.796875 \nC 2.5 3.90625 8.203125 -0.796875 16.90625 -0.796875 \nz\nM 19.09375 5.59375 \nC 13.703125 5.59375 11 8.5 11 14.296875 \nC 11 19.90625 13.703125 22.5 19.40625 23.203125 \nL 27.59375 24.203125 \nL 27.59375 8.203125 \nC 25.90625 6.796875 22.796875 5.59375 19.09375 5.59375 \nz\n\" id=\"GuardianSansCond-Regular-97\"/>\n       <path d=\"M 5.59375 0 \nL 13.796875 0 \nL 13.796875 51.296875 \nL 5.59375 51.296875 \nz\nM 5.5 61.09375 \nL 13.796875 61.09375 \nL 13.796875 69.90625 \nL 5.5 69.90625 \nz\n\" id=\"GuardianSansCond-Regular-105\"/>\n       <path d=\"M 5.59375 0 \nL 13.703125 0 \nL 13.703125 73.40625 \nL 5.59375 73.40625 \nz\n\" id=\"GuardianSansCond-Regular-108\"/>\n       <path d=\"M 15.5 -0.796875 \nC 25.90625 -0.796875 32.09375 4.796875 32.09375 14.796875 \nC 32.09375 23.203125 28.40625 26.703125 20.40625 29.5 \nL 16.40625 30.90625 \nC 12 32.40625 10.296875 34.296875 10.296875 38.296875 \nC 10.296875 43.296875 13.5 45.203125 19.09375 45.203125 \nC 23.703125 45.203125 27.5 43.90625 29.90625 42.796875 \nL 29.90625 49.5 \nC 27.703125 50.796875 24.5 52.09375 18.703125 52.09375 \nC 8.296875 52.09375 2.5 46.59375 2.5 37.59375 \nC 2.5 29.703125 6.59375 25.90625 12.90625 23.703125 \nL 16.90625 22.296875 \nC 22 20.5 24 18.5 24 14 \nC 24 9.09375 21.40625 6.09375 14.59375 6.09375 \nC 9.09375 6.09375 5.59375 7.5 2.40625 8.796875 \nL 2.40625 2.203125 \nC 5.59375 0.296875 10 -0.796875 15.5 -0.796875 \nz\n\" id=\"GuardianSansCond-Regular-115\"/>\n      </defs>\n      <use xlink:href=\"#GuardianSansCond-Regular-83\"/>\n      <use x=\"42.199997\" xlink:href=\"#GuardianSansCond-Regular-111\"/>\n      <use x=\"87.799988\" xlink:href=\"#GuardianSansCond-Regular-114\"/>\n      <use x=\"116.599976\" xlink:href=\"#GuardianSansCond-Regular-116\"/>\n      <use x=\"145.59996\" xlink:href=\"#GuardianSansCond-Regular-101\"/>\n      <use x=\"188.299957\" xlink:href=\"#GuardianSansCond-Regular-100\"/>\n      <use x=\"234.899948\" xlink:href=\"#GuardianSansCond-Regular-32\"/>\n      <use x=\"250.699936\" xlink:href=\"#GuardianSansCond-Regular-116\"/>\n      <use x=\"279.699921\" xlink:href=\"#GuardianSansCond-Regular-111\"/>\n      <use x=\"325.299911\" xlink:href=\"#GuardianSansCond-Regular-107\"/>\n      <use x=\"366.799896\" xlink:href=\"#GuardianSansCond-Regular-101\"/>\n      <use x=\"409.499893\" xlink:href=\"#GuardianSansCond-Regular-110\"/>\n      <use x=\"455.599884\" xlink:href=\"#GuardianSansCond-Regular-32\"/>\n      <use x=\"471.399872\" xlink:href=\"#GuardianSansCond-Regular-112\"/>\n      <use x=\"517.999863\" xlink:href=\"#GuardianSansCond-Regular-114\"/>\n      <use x=\"546.79985\" xlink:href=\"#GuardianSansCond-Regular-111\"/>\n      <use x=\"592.399841\" xlink:href=\"#GuardianSansCond-Regular-98\"/>\n      <use x=\"638.999832\" xlink:href=\"#GuardianSansCond-Regular-97\"/>\n      <use x=\"679.899826\" xlink:href=\"#GuardianSansCond-Regular-98\"/>\n      <use x=\"726.499817\" xlink:href=\"#GuardianSansCond-Regular-105\"/>\n      <use x=\"745.799805\" xlink:href=\"#GuardianSansCond-Regular-108\"/>\n      <use x=\"765.099792\" xlink:href=\"#GuardianSansCond-Regular-105\"/>\n      <use x=\"784.39978\" xlink:href=\"#GuardianSansCond-Regular-116\"/>\n      <use x=\"813.399765\" xlink:href=\"#GuardianSansCond-Regular-105\"/>\n      <use x=\"832.699753\" xlink:href=\"#GuardianSansCond-Regular-101\"/>\n      <use x=\"875.39975\" xlink:href=\"#GuardianSansCond-Regular-115\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m1d726ffb0e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.644375\" xlink:href=\"#m1d726ffb0e\" y=\"221.370594\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.000 -->\n      <g transform=\"translate(22.373125 225.774969)scale(0.12 -0.12)\">\n       <defs>\n        <path d=\"M 6.203125 0 \nL 15.40625 0 \nL 15.40625 9.703125 \nL 6.203125 9.703125 \nz\n\" id=\"GuardianSansCond-Regular-46\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"53.499985\" xlink:href=\"#GuardianSansCond-Regular-46\"/>\n       <use x=\"75.099976\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"128.59996\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"182.099945\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.644375\" xlink:href=\"#m1d726ffb0e\" y=\"176.936466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.001 -->\n      <g transform=\"translate(25.3375 181.340841)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"53.499985\" xlink:href=\"#GuardianSansCond-Regular-46\"/>\n       <use x=\"75.099976\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"128.59996\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"182.099945\" xlink:href=\"#GuardianSansCond-Regular-49\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.644375\" xlink:href=\"#m1d726ffb0e\" y=\"132.502338\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.002 -->\n      <g transform=\"translate(23.693125 136.906713)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"53.499985\" xlink:href=\"#GuardianSansCond-Regular-46\"/>\n       <use x=\"75.099976\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"128.59996\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"182.099945\" xlink:href=\"#GuardianSansCond-Regular-50\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.644375\" xlink:href=\"#m1d726ffb0e\" y=\"88.068211\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.003 -->\n      <g transform=\"translate(23.72875 92.472586)scale(0.12 -0.12)\">\n       <defs>\n        <path d=\"M 17.09375 -1 \nC 30 -1 38 6.5 38 19.5 \nC 38 30.296875 33 35.203125 25.09375 36.90625 \nL 25.09375 37.203125 \nC 31.90625 39.296875 36.09375 43.796875 36.09375 53.203125 \nC 36.09375 64 29.40625 70.296875 18.09375 70.296875 \nC 12.296875 70.296875 7.59375 69.203125 4.296875 67.5 \nL 4.296875 60.796875 \nC 7.203125 62 10.59375 63.09375 15.59375 63.09375 \nC 23.09375 63.09375 27.40625 60.40625 27.40625 51.59375 \nC 27.40625 43.703125 23.09375 39.796875 15.90625 39.796875 \nL 11.203125 39.796875 \nL 11.203125 32.59375 \nL 16.5 32.59375 \nC 25 32.59375 29.203125 28.703125 29.203125 19.796875 \nC 29.203125 10.09375 23.703125 6.296875 14.796875 6.296875 \nC 10.09375 6.296875 5.59375 7.703125 2.296875 9.5 \nL 2.296875 2.59375 \nC 5.59375 0.5 10 -1 17.09375 -1 \nz\n\" id=\"GuardianSansCond-Regular-51\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"53.499985\" xlink:href=\"#GuardianSansCond-Regular-46\"/>\n       <use x=\"75.099976\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"128.59996\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"182.099945\" xlink:href=\"#GuardianSansCond-Regular-51\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.644375\" xlink:href=\"#m1d726ffb0e\" y=\"43.634083\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.004 -->\n      <g transform=\"translate(23.104375 48.038458)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"53.499985\" xlink:href=\"#GuardianSansCond-Regular-46\"/>\n       <use x=\"75.099976\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"128.59996\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n       <use x=\"182.099945\" xlink:href=\"#GuardianSansCond-Regular-52\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_13\">\n     <!-- Probability -->\n     <g transform=\"translate(16.00875 138.946875)rotate(-90)scale(0.12 -0.12)\">\n      <defs>\n       <path d=\"M 6.5 0 \nL 14.90625 0 \nL 14.90625 27.59375 \nL 24.296875 27.59375 \nC 36.90625 27.59375 44.59375 35.09375 44.59375 48.703125 \nC 44.59375 62.90625 37.703125 69.296875 24 69.296875 \nL 6.5 69.296875 \nz\nM 14.90625 34.703125 \nL 14.90625 62.09375 \nL 23.09375 62.09375 \nC 32.203125 62.09375 35.703125 58.59375 35.703125 48.40625 \nC 35.703125 39 32.09375 34.703125 23 34.703125 \nz\n\" id=\"GuardianSansCond-Regular-80\"/>\n       <path d=\"M 8.90625 -19.703125 \nC 16.90625 -19.703125 20.40625 -15 23.203125 -5.703125 \nL 40.5 51.296875 \nL 32.296875 51.296875 \nL 23.203125 18.703125 \nC 22.203125 15.5 21.5 12.296875 21.5 12.296875 \nL 21.296875 12.296875 \nC 21.296875 12.296875 20.796875 14.5 19.5 18.796875 \nL 9.703125 51.296875 \nL 0.796875 51.296875 \nL 17.5 0.203125 \nL 15.90625 -4.59375 \nC 14 -10.90625 11.703125 -12.90625 7.5 -12.90625 \nC 6 -12.90625 4.09375 -12.703125 2.90625 -12.5 \nL 2.90625 -18.296875 \nC 4.40625 -19.09375 6.796875 -19.703125 8.90625 -19.703125 \nz\n\" id=\"GuardianSansCond-Regular-121\"/>\n      </defs>\n      <use xlink:href=\"#GuardianSansCond-Regular-80\"/>\n      <use x=\"46.999985\" xlink:href=\"#GuardianSansCond-Regular-114\"/>\n      <use x=\"75.799973\" xlink:href=\"#GuardianSansCond-Regular-111\"/>\n      <use x=\"121.399963\" xlink:href=\"#GuardianSansCond-Regular-98\"/>\n      <use x=\"167.999954\" xlink:href=\"#GuardianSansCond-Regular-97\"/>\n      <use x=\"208.899948\" xlink:href=\"#GuardianSansCond-Regular-98\"/>\n      <use x=\"255.499939\" xlink:href=\"#GuardianSansCond-Regular-105\"/>\n      <use x=\"274.799927\" xlink:href=\"#GuardianSansCond-Regular-108\"/>\n      <use x=\"294.099915\" xlink:href=\"#GuardianSansCond-Regular-105\"/>\n      <use x=\"313.399902\" xlink:href=\"#GuardianSansCond-Regular-116\"/>\n      <use x=\"342.399887\" xlink:href=\"#GuardianSansCond-Regular-121\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pc224603525)\" d=\"M 72.862557 17.083636 \nL 72.862557 19.438564 \nL 73.776562 19.497318 \nL 73.776562 19.821713 \nL 74.08123 19.821713 \nL 74.08123 22.404288 \nL 74.385898 22.404288 \nL 74.385898 26.978472 \nL 74.690567 26.978472 \nL 74.690567 27.689097 \nL 74.995235 27.689097 \nL 74.995235 27.880716 \nL 75.299903 27.880716 \nL 75.299903 28.030974 \nL 75.604572 28.030974 \nL 75.604572 28.326935 \nL 75.90924 28.326935 \nL 75.90924 31.539155 \nL 76.213908 31.539155 \nL 76.213908 31.73496 \nL 76.518576 31.73496 \nL 76.518576 32.965353 \nL 76.823245 32.965353 \nL 76.823245 33.377763 \nL 77.432581 33.472212 \nL 77.432581 35.195567 \nL 77.73725 35.195567 \nL 77.73725 35.375124 \nL 78.041918 35.375124 \nL 78.041918 36.978345 \nL 78.651255 37.020735 \nL 78.651255 37.165071 \nL 78.955923 37.165071 \nL 78.955923 37.580648 \nL 79.260591 37.580648 \nL 79.260591 38.455672 \nL 79.56526 38.455672 \nL 79.56526 40.094098 \nL 79.869928 40.094098 \nL 79.869928 42.521726 \nL 80.174596 42.521726 \nL 80.174596 42.7863 \nL 80.479264 42.7863 \nL 80.479264 43.098677 \nL 80.783933 43.098677 \nL 80.783933 43.844209 \nL 81.088601 43.844209 \nL 81.088601 44.662328 \nL 81.393269 44.662328 \nL 81.393269 45.0954 \nL 81.697938 45.0954 \nL 81.697938 47.428104 \nL 82.002606 47.428104 \nL 82.002606 47.568365 \nL 82.307274 47.568365 \nL 82.307274 49.018321 \nL 82.916611 49.03151 \nL 82.916611 49.868757 \nL 83.221279 49.868757 \nL 83.221279 51.194547 \nL 83.830616 51.271717 \nL 83.830616 51.555497 \nL 84.135284 51.555497 \nL 84.135284 52.491267 \nL 84.744621 52.546482 \nL 84.744621 52.68608 \nL 85.049289 52.68608 \nL 85.049289 53.225963 \nL 85.353957 53.225963 \nL 85.353957 54.29474 \nL 85.658626 54.29474 \nL 85.658626 54.750149 \nL 86.267962 54.82014 \nL 86.267962 55.105609 \nL 86.572631 55.105609 \nL 86.572631 57.251886 \nL 86.877299 57.251886 \nL 86.877299 58.572934 \nL 87.181967 58.572934 \nL 87.181967 58.92488 \nL 87.486635 58.92488 \nL 87.486635 59.335623 \nL 87.791304 59.335623 \nL 87.791304 59.877299 \nL 88.095972 59.877299 \nL 88.095972 60.992964 \nL 88.40064 60.992964 \nL 88.40064 62.195335 \nL 88.705309 62.195335 \nL 88.705309 62.929805 \nL 89.009977 62.929805 \nL 89.009977 63.145153 \nL 89.314645 63.145153 \nL 89.314645 64.08842 \nL 89.619314 64.08842 \nL 89.619314 64.419067 \nL 89.923982 64.419067 \nL 89.923982 65.032174 \nL 90.22865 65.032174 \nL 90.22865 65.711569 \nL 90.533318 65.711569 \nL 90.533318 65.845198 \nL 91.142655 65.902063 \nL 91.142655 66.388192 \nL 91.751992 66.488778 \nL 91.751992 67.30738 \nL 92.05666 67.30738 \nL 92.05666 67.519776 \nL 92.361328 67.519776 \nL 92.361328 67.647345 \nL 92.665997 67.647345 \nL 92.665997 67.784464 \nL 92.970665 67.784464 \nL 92.970665 68.619218 \nL 93.275333 68.619218 \nL 93.275333 69.207745 \nL 93.580002 69.207745 \nL 93.580002 71.401308 \nL 93.88467 71.401308 \nL 93.88467 71.637583 \nL 94.189338 71.637583 \nL 94.189338 73.550937 \nL 94.494006 73.550937 \nL 94.494006 74.318661 \nL 94.798675 74.318661 \nL 94.798675 74.544757 \nL 95.103343 74.544757 \nL 95.103343 77.234069 \nL 95.408011 77.234069 \nL 95.408011 77.574454 \nL 95.71268 77.574454 \nL 95.71268 78.788849 \nL 96.322016 78.812107 \nL 96.322016 81.617319 \nL 96.626685 81.617319 \nL 96.626685 82.079762 \nL 96.931353 82.079762 \nL 96.931353 83.583408 \nL 97.236021 83.583408 \nL 97.236021 83.982463 \nL 97.540689 83.982463 \nL 97.540689 84.158957 \nL 97.845358 84.158957 \nL 97.845358 86.149461 \nL 98.150026 86.149461 \nL 98.150026 88.572706 \nL 98.454694 88.572706 \nL 98.454694 89.203622 \nL 98.759363 89.203622 \nL 98.759363 89.468622 \nL 99.368699 89.576348 \nL 99.368699 90.576349 \nL 99.978036 90.658925 \nL 99.978036 92.342195 \nL 100.282704 92.342195 \nL 100.282704 95.438625 \nL 100.587373 95.438625 \nL 100.587373 96.001444 \nL 100.892041 96.001444 \nL 100.892041 96.902146 \nL 101.196709 96.902146 \nL 101.196709 97.40561 \nL 101.501377 97.40561 \nL 101.501377 98.539941 \nL 101.806046 98.539941 \nL 101.806046 98.871357 \nL 102.110714 98.871357 \nL 102.110714 99.107011 \nL 102.415382 99.107011 \nL 102.415382 99.859191 \nL 102.720051 99.859191 \nL 102.720051 101.712441 \nL 103.024719 101.712441 \nL 103.024719 102.6224 \nL 103.329387 102.6224 \nL 103.329387 103.752466 \nL 103.634056 103.752466 \nL 103.634056 104.960614 \nL 103.938724 104.960614 \nL 103.938724 105.391199 \nL 104.243392 105.391199 \nL 104.243392 107.209889 \nL 104.548061 107.209889 \nL 104.548061 107.362402 \nL 104.852729 107.362402 \nL 104.852729 107.995156 \nL 105.157397 107.995156 \nL 105.157397 108.575512 \nL 105.766734 108.616821 \nL 105.766734 109.339108 \nL 106.37607 109.373624 \nL 106.37607 110.120895 \nL 106.680739 110.120895 \nL 106.680739 110.638093 \nL 106.985407 110.638093 \nL 106.985407 111.424619 \nL 107.290075 111.424619 \nL 107.290075 111.709153 \nL 107.594744 111.709153 \nL 107.594744 112.778971 \nL 107.899412 112.778971 \nL 107.899412 114.860779 \nL 108.508748 114.88809 \nL 108.508748 117.28386 \nL 108.813417 117.28386 \nL 108.813417 117.481681 \nL 109.118085 117.481681 \nL 109.118085 118.324093 \nL 109.422753 118.324093 \nL 109.422753 118.495626 \nL 109.727422 118.495626 \nL 109.727422 118.789369 \nL 110.641427 118.883641 \nL 110.641427 119.844827 \nL 110.946095 119.844827 \nL 110.946095 120.006777 \nL 111.250763 120.006777 \nL 111.250763 120.349877 \nL 111.8601 120.394935 \nL 111.8601 120.490313 \nL 112.164768 120.490313 \nL 112.164768 120.860476 \nL 112.774105 120.888301 \nL 112.774105 122.024742 \nL 113.078773 122.024742 \nL 113.078773 122.290688 \nL 113.383441 122.290688 \nL 113.383441 123.83979 \nL 113.68811 123.83979 \nL 113.68811 124.023063 \nL 113.992778 124.023063 \nL 113.992778 124.198257 \nL 114.297446 124.198257 \nL 114.297446 125.101038 \nL 114.602115 125.101038 \nL 114.602115 125.321911 \nL 114.906783 125.321911 \nL 114.906783 125.655856 \nL 115.516119 125.730166 \nL 115.516119 126.571609 \nL 115.820788 126.571609 \nL 115.820788 127.836852 \nL 116.430124 127.851204 \nL 116.430124 128.070779 \nL 116.734793 128.070779 \nL 116.734793 128.408357 \nL 117.039461 128.408357 \nL 117.039461 128.549517 \nL 117.344129 128.549517 \nL 117.344129 129.327868 \nL 117.953466 129.340006 \nL 117.953466 129.704847 \nL 118.258134 129.704847 \nL 118.258134 130.346419 \nL 118.562803 130.346419 \nL 118.562803 130.996365 \nL 119.476807 131.103153 \nL 119.476807 131.807823 \nL 119.781476 131.807823 \nL 119.781476 132.584546 \nL 120.086144 132.584546 \nL 120.086144 133.909251 \nL 120.390812 133.909251 \nL 120.390812 135.970805 \nL 120.695481 135.970805 \nL 120.695481 136.083603 \nL 121.609486 136.156964 \nL 121.609486 136.522588 \nL 122.218822 136.577125 \nL 122.218822 137.567175 \nL 122.52349 137.567175 \nL 122.52349 137.899062 \nL 122.828159 137.899062 \nL 122.828159 138.084166 \nL 123.132827 138.084166 \nL 123.132827 138.658681 \nL 123.437495 138.658681 \nL 123.437495 139.12779 \nL 123.742164 139.12779 \nL 123.742164 139.495479 \nL 124.046832 139.495479 \nL 124.046832 139.662789 \nL 124.3515 139.662789 \nL 124.3515 140.063198 \nL 124.960837 140.128435 \nL 124.960837 140.990228 \nL 125.265505 140.990228 \nL 125.265505 141.166967 \nL 125.570174 141.166967 \nL 125.570174 141.659492 \nL 125.874842 141.659492 \nL 125.874842 141.853106 \nL 126.17951 141.853106 \nL 126.17951 142.406067 \nL 126.484178 142.406067 \nL 126.484178 143.225904 \nL 127.093515 143.254167 \nL 127.093515 143.567786 \nL 127.398183 143.567786 \nL 127.398183 143.88159 \nL 128.00752 143.965519 \nL 128.00752 144.540034 \nL 128.312188 144.540034 \nL 128.312188 144.742069 \nL 128.616857 144.742069 \nL 128.616857 145.487456 \nL 129.226193 145.545976 \nL 129.226193 146.000324 \nL 129.530861 146.000324 \nL 129.530861 146.354306 \nL 130.140198 146.446673 \nL 130.140198 147.145174 \nL 130.749535 147.149991 \nL 130.749535 147.295182 \nL 131.054203 147.295182 \nL 131.054203 147.544516 \nL 131.358871 147.544516 \nL 131.358871 147.717017 \nL 131.968208 147.729949 \nL 131.968208 148.008914 \nL 132.272876 148.008914 \nL 132.272876 148.402784 \nL 132.577545 148.402784 \nL 132.577545 148.644703 \nL 132.882213 148.644703 \nL 132.882213 148.928523 \nL 133.186881 148.928523 \nL 133.186881 149.099981 \nL 133.796218 149.112057 \nL 133.796218 149.215145 \nL 134.100886 149.215145 \nL 134.100886 149.431457 \nL 134.405554 149.431457 \nL 134.405554 149.610369 \nL 135.014891 149.701292 \nL 135.014891 149.731706 \nL 135.319559 149.731706 \nL 135.319559 151.538992 \nL 135.624228 151.538992 \nL 135.624228 151.687277 \nL 135.928896 151.687277 \nL 135.928896 151.881947 \nL 136.233564 151.881947 \nL 136.233564 152.159577 \nL 136.538232 152.159577 \nL 136.538232 152.299705 \nL 137.452237 152.37986 \nL 137.452237 152.924641 \nL 137.756906 152.924641 \nL 137.756906 153.567057 \nL 138.061574 153.567057 \nL 138.061574 153.710488 \nL 138.670911 153.725626 \nL 138.670911 153.90068 \nL 138.975579 153.90068 \nL 138.975579 154.220275 \nL 139.280247 154.220275 \nL 139.280247 154.564271 \nL 139.584916 154.564271 \nL 139.584916 155.206482 \nL 140.194252 155.231211 \nL 140.194252 155.326965 \nL 140.49892 155.326965 \nL 140.49892 155.575869 \nL 140.803589 155.575869 \nL 140.803589 155.899163 \nL 141.108257 155.899163 \nL 141.108257 156.217395 \nL 141.412925 156.217395 \nL 141.412925 156.651729 \nL 142.022262 156.70451 \nL 142.022262 157.076883 \nL 142.32693 157.076883 \nL 142.32693 157.308567 \nL 142.631599 157.308567 \nL 142.631599 157.608732 \nL 142.936267 157.608732 \nL 142.936267 157.938404 \nL 143.240935 157.938404 \nL 143.240935 158.583801 \nL 143.545604 158.583801 \nL 143.545604 158.930183 \nL 143.850272 158.930183 \nL 143.850272 159.127932 \nL 144.459608 159.157489 \nL 144.459608 159.58457 \nL 145.068945 159.585847 \nL 145.068945 159.731774 \nL 145.98295 159.801781 \nL 145.98295 160.157337 \nL 146.896955 160.243189 \nL 146.896955 160.297473 \nL 147.201623 160.297473 \nL 147.201623 160.41705 \nL 147.506291 160.41705 \nL 147.506291 160.72245 \nL 148.115628 160.777252 \nL 148.115628 160.86976 \nL 148.420296 160.86976 \nL 148.420296 161.248709 \nL 148.724965 161.248709 \nL 148.724965 161.438371 \nL 149.334301 161.454703 \nL 149.334301 161.65233 \nL 149.943638 161.655553 \nL 149.943638 161.828231 \nL 150.248306 161.828231 \nL 150.248306 162.004862 \nL 150.552975 162.004862 \nL 150.552975 162.47117 \nL 151.162311 162.554535 \nL 151.162311 162.587539 \nL 151.771648 162.686653 \nL 151.771648 162.749697 \nL 152.380984 162.857839 \nL 152.380984 162.941939 \nL 152.685653 162.941939 \nL 152.685653 163.179259 \nL 153.599658 163.231515 \nL 153.599658 163.431105 \nL 153.904326 163.431105 \nL 153.904326 163.654509 \nL 154.208994 163.654509 \nL 154.208994 163.894838 \nL 154.513662 163.894838 \nL 154.513662 164.45572 \nL 154.818331 164.45572 \nL 154.818331 164.830937 \nL 155.122999 164.830937 \nL 155.122999 164.963227 \nL 155.732336 164.96404 \nL 155.732336 165.493414 \nL 156.037004 165.493414 \nL 156.037004 165.822009 \nL 156.646341 165.895738 \nL 156.646341 166.132358 \nL 157.255677 166.153919 \nL 157.255677 166.474218 \nL 157.865014 166.575997 \nL 157.865014 166.71217 \nL 158.169682 166.71217 \nL 158.169682 167.055958 \nL 158.47435 167.055958 \nL 158.47435 167.279748 \nL 158.779019 167.279748 \nL 158.779019 167.441789 \nL 159.083687 167.441789 \nL 159.083687 167.803688 \nL 159.388355 167.803688 \nL 159.388355 168.139932 \nL 159.693024 168.139932 \nL 159.693024 168.522065 \nL 159.997692 168.522065 \nL 159.997692 168.718052 \nL 160.30236 168.718052 \nL 160.30236 169.45704 \nL 160.607029 169.45704 \nL 160.607029 169.646936 \nL 160.911697 169.646936 \nL 160.911697 170.201124 \nL 161.216365 170.201124 \nL 161.216365 170.822841 \nL 161.825702 170.908214 \nL 161.825702 171.420569 \nL 162.739707 171.501973 \nL 162.739707 171.63521 \nL 163.044375 171.63521 \nL 163.044375 172.10609 \nL 163.349043 172.10609 \nL 163.349043 173.004795 \nL 163.95838 173.031512 \nL 163.95838 173.229974 \nL 164.567717 173.282129 \nL 164.567717 173.439835 \nL 164.872385 173.439835 \nL 164.872385 173.629465 \nL 165.177053 173.629465 \nL 165.177053 173.789558 \nL 165.78639 173.895723 \nL 165.78639 174.046496 \nL 166.700395 174.127601 \nL 166.700395 174.257209 \nL 167.309731 174.286372 \nL 167.309731 174.56174 \nL 168.223736 174.604596 \nL 168.223736 174.814995 \nL 168.833073 174.826861 \nL 168.833073 175.503837 \nL 169.747078 175.585368 \nL 169.747078 175.731381 \nL 170.051746 175.731381 \nL 170.051746 175.84878 \nL 170.356414 175.84878 \nL 170.356414 176.305792 \nL 170.965751 176.346099 \nL 170.965751 176.757594 \nL 171.879756 176.836478 \nL 171.879756 176.913269 \nL 172.184424 176.913269 \nL 172.184424 177.260767 \nL 172.793761 177.305907 \nL 172.793761 177.524143 \nL 173.098429 177.524143 \nL 173.098429 177.65322 \nL 173.403097 177.65322 \nL 173.403097 177.916089 \nL 173.707766 177.916089 \nL 173.707766 178.337596 \nL 174.012434 178.337596 \nL 174.012434 178.717816 \nL 174.317102 178.717816 \nL 174.317102 178.962308 \nL 174.621771 178.962308 \nL 174.621771 179.107709 \nL 175.231107 179.201252 \nL 175.231107 179.220048 \nL 175.840444 179.298019 \nL 175.840444 179.464161 \nL 176.145112 179.464161 \nL 176.145112 179.688253 \nL 177.059117 179.76013 \nL 177.059117 180.026146 \nL 177.973122 180.0462 \nL 177.973122 180.510311 \nL 178.582459 180.535893 \nL 178.582459 180.873679 \nL 178.887127 180.873679 \nL 178.887127 181.310538 \nL 179.191795 181.310538 \nL 179.191795 181.541168 \nL 179.801132 181.606656 \nL 179.801132 181.690273 \nL 180.1058 181.690273 \nL 180.1058 182.024609 \nL 180.410468 182.024609 \nL 180.410468 182.570349 \nL 181.019805 182.674205 \nL 181.019805 182.800316 \nL 181.324473 182.800316 \nL 181.324473 183.233642 \nL 181.93381 183.312983 \nL 181.93381 183.376295 \nL 182.543146 183.438189 \nL 182.543146 183.756013 \nL 182.847815 183.756013 \nL 182.847815 184.262282 \nL 183.457151 184.369964 \nL 183.457151 184.401532 \nL 184.066488 184.509316 \nL 184.066488 184.526051 \nL 184.675825 184.606765 \nL 184.675825 184.671275 \nL 184.980493 184.671275 \nL 184.980493 184.84943 \nL 185.285161 184.84943 \nL 185.285161 185.055865 \nL 186.199166 185.126846 \nL 186.199166 185.645925 \nL 187.113171 185.722796 \nL 187.113171 186.03981 \nL 187.722508 186.075409 \nL 187.722508 186.21274 \nL 188.331844 186.270608 \nL 188.331844 186.342676 \nL 188.636513 186.342676 \nL 188.636513 186.462484 \nL 188.941181 186.462484 \nL 188.941181 187.115872 \nL 189.550518 187.194335 \nL 189.550518 187.502253 \nL 189.855186 187.502253 \nL 189.855186 187.648727 \nL 190.159854 187.648727 \nL 190.159854 187.920295 \nL 190.769191 187.976299 \nL 190.769191 188.166961 \nL 191.683196 188.25637 \nL 191.683196 188.448651 \nL 192.292532 188.557875 \nL 192.292532 188.570364 \nL 193.206537 188.640391 \nL 193.206537 189.035873 \nL 194.42521 189.138971 \nL 194.42521 189.157608 \nL 194.729879 189.157608 \nL 194.729879 189.483175 \nL 195.034547 189.483175 \nL 195.034547 189.628689 \nL 195.339215 189.628689 \nL 195.339215 189.856903 \nL 195.643884 189.856903 \nL 195.643884 189.977498 \nL 196.25322 190.031002 \nL 196.25322 190.153773 \nL 196.862557 190.159542 \nL 196.862557 190.325707 \nL 197.776562 190.423353 \nL 197.776562 190.600141 \nL 198.385898 190.643743 \nL 198.385898 191.134847 \nL 198.690567 191.134847 \nL 198.690567 191.246156 \nL 199.604572 191.345402 \nL 199.604572 191.472502 \nL 199.90924 191.472502 \nL 199.90924 191.769246 \nL 201.127913 191.876767 \nL 201.127913 192.064552 \nL 201.432581 192.064552 \nL 201.432581 192.196294 \nL 201.73725 192.196294 \nL 201.73725 192.391114 \nL 202.346586 192.49285 \nL 202.346586 192.735949 \nL 203.260591 192.823554 \nL 203.260591 192.862157 \nL 203.56526 192.862157 \nL 203.56526 193.121199 \nL 204.174596 193.1388 \nL 204.174596 193.287977 \nL 205.393269 193.372402 \nL 205.393269 193.404702 \nL 206.307274 193.501361 \nL 206.307274 193.556198 \nL 206.916611 193.634331 \nL 206.916611 193.721699 \nL 207.221279 193.721699 \nL 207.221279 193.849547 \nL 208.135284 193.92696 \nL 208.135284 194.081482 \nL 208.439952 194.081482 \nL 208.439952 194.203854 \nL 209.353957 194.274928 \nL 209.353957 194.614067 \nL 210.572631 194.717321 \nL 210.572631 194.78427 \nL 211.791304 194.88423 \nL 211.791304 194.898342 \nL 213.314645 194.97362 \nL 213.314645 195.012285 \nL 213.923982 195.038066 \nL 213.923982 195.124793 \nL 214.22865 195.124793 \nL 214.22865 195.274739 \nL 215.447323 195.385445 \nL 215.447323 195.390721 \nL 216.361328 195.46325 \nL 216.361328 195.561232 \nL 216.970665 195.645375 \nL 216.970665 195.701414 \nL 217.88467 195.74287 \nL 217.88467 195.818479 \nL 218.798675 195.91908 \nL 218.798675 195.996926 \nL 219.408011 196.036097 \nL 219.408011 196.341349 \nL 220.017348 196.389173 \nL 220.017348 196.470737 \nL 221.540689 196.576507 \nL 221.540689 196.641446 \nL 221.845358 196.641446 \nL 221.845358 196.795429 \nL 222.454694 196.838211 \nL 222.454694 196.962688 \nL 223.064031 197.021248 \nL 223.064031 197.098893 \nL 223.368699 197.098893 \nL 223.368699 197.292112 \nL 224.282704 197.372785 \nL 224.282704 197.548347 \nL 224.587373 197.548347 \nL 224.587373 197.730107 \nL 225.196709 197.758863 \nL 225.196709 197.842744 \nL 226.110714 197.952975 \nL 226.110714 197.962278 \nL 226.720051 198.021125 \nL 226.720051 198.073721 \nL 227.938724 198.119486 \nL 227.938724 198.20309 \nL 228.548061 198.229287 \nL 228.548061 198.364793 \nL 229.157397 198.408694 \nL 229.157397 198.532488 \nL 229.462065 198.532488 \nL 229.462065 198.800322 \nL 229.766734 198.800322 \nL 229.766734 199.021405 \nL 231.899412 199.113117 \nL 231.899412 199.201113 \nL 233.118085 199.231905 \nL 233.118085 199.455992 \nL 234.336758 199.557718 \nL 234.336758 199.594718 \nL 234.641427 199.594718 \nL 234.641427 199.743521 \nL 235.250763 199.781104 \nL 235.250763 199.918348 \nL 236.469436 199.98843 \nL 236.469436 200.224884 \nL 237.078773 200.267578 \nL 237.078773 200.388035 \nL 237.68811 200.438249 \nL 237.68811 200.561885 \nL 238.602115 200.641839 \nL 238.602115 200.684437 \nL 239.211451 200.787049 \nL 239.211451 200.83414 \nL 239.516119 200.83414 \nL 239.516119 200.977112 \nL 240.430124 201.079107 \nL 240.430124 201.250876 \nL 241.039461 201.270952 \nL 241.039461 201.38788 \nL 242.258134 201.426069 \nL 242.258134 201.509816 \nL 243.476807 201.595211 \nL 243.476807 201.67189 \nL 244.695481 201.729074 \nL 244.695481 201.891299 \nL 245.609486 201.945929 \nL 245.609486 202.14426 \nL 247.132827 202.224545 \nL 247.132827 202.258726 \nL 248.046832 202.36922 \nL 248.046832 202.452305 \nL 248.960837 202.56113 \nL 248.960837 202.751748 \nL 249.570174 202.79352 \nL 249.570174 202.879258 \nL 250.17951 202.897674 \nL 250.17951 203.024202 \nL 251.093515 203.091448 \nL 251.093515 203.406122 \nL 252.312188 203.500158 \nL 252.312188 203.530305 \nL 253.226193 203.614726 \nL 253.226193 203.664694 \nL 254.749535 203.7577 \nL 254.749535 203.803916 \nL 255.358871 203.853335 \nL 255.358871 203.980747 \nL 256.577545 204.090749 \nL 256.577545 204.128538 \nL 257.491549 204.185968 \nL 257.491549 204.30413 \nL 258.405554 204.410285 \nL 258.405554 204.440458 \nL 259.014891 204.529226 \nL 259.014891 204.555659 \nL 259.928896 204.645167 \nL 259.928896 204.682078 \nL 261.756906 204.76965 \nL 261.756906 204.801097 \nL 262.670911 204.866444 \nL 262.670911 204.963544 \nL 263.889584 205.061766 \nL 263.889584 205.097004 \nL 264.803589 205.198398 \nL 264.803589 205.296163 \nL 265.717594 205.396429 \nL 265.717594 205.534728 \nL 266.631599 205.629588 \nL 266.631599 205.679253 \nL 267.240935 205.713504 \nL 267.240935 205.812794 \nL 268.15494 205.902733 \nL 268.15494 205.961963 \nL 269.068945 205.98252 \nL 269.068945 206.113575 \nL 271.201623 206.219315 \nL 271.201623 206.227582 \nL 273.029633 206.280947 \nL 273.029633 206.398737 \nL 273.63897 206.494605 \nL 273.63897 206.53787 \nL 274.248306 206.637082 \nL 274.248306 206.674378 \nL 274.552975 206.674378 \nL 274.552975 206.814908 \nL 274.857643 206.814908 \nL 274.857643 206.942421 \nL 275.466979 206.976701 \nL 275.466979 207.055356 \nL 276.685653 207.147663 \nL 276.685653 207.18395 \nL 278.208994 207.21092 \nL 278.208994 207.309371 \nL 279.427667 207.398301 \nL 279.427667 207.445738 \nL 280.951009 207.544395 \nL 280.951009 207.598606 \nL 282.169682 207.707761 \nL 282.169682 207.787639 \nL 282.47435 207.787639 \nL 282.47435 207.917574 \nL 282.779019 207.917574 \nL 282.779019 208.032758 \nL 283.388355 208.067599 \nL 283.388355 208.150175 \nL 284.607029 208.254523 \nL 284.607029 208.315888 \nL 285.825702 208.407202 \nL 285.825702 208.436806 \nL 287.653712 208.544886 \nL 287.653712 208.554218 \nL 289.177053 208.654532 \nL 289.177053 208.671898 \nL 289.78639 208.771573 \nL 289.78639 208.854112 \nL 291.005063 208.950873 \nL 291.005063 208.998234 \nL 292.223736 209.083098 \nL 292.223736 209.117269 \nL 293.442409 209.216664 \nL 293.442409 209.251033 \nL 294.356414 209.345081 \nL 294.356414 209.366402 \nL 295.575088 209.469369 \nL 295.575088 209.490662 \nL 297.403097 209.584509 \nL 297.403097 209.643765 \nL 298.317102 209.708577 \nL 298.317102 209.798253 \nL 299.840444 209.878279 \nL 299.840444 209.911136 \nL 300.754449 209.961298 \nL 300.754449 210.047261 \nL 301.363785 210.074391 \nL 301.363785 210.191684 \nL 304.1058 210.292785 \nL 304.1058 210.335523 \nL 305.93381 210.44509 \nL 305.93381 210.447032 \nL 307.457151 210.547411 \nL 307.457151 210.587394 \nL 308.066488 210.621656 \nL 308.066488 210.698734 \nL 309.285161 210.79176 \nL 309.285161 210.826376 \nL 311.417839 210.918252 \nL 311.417839 210.968847 \nL 312.331844 211.054902 \nL 312.331844 211.151524 \nL 313.550518 211.258554 \nL 313.550518 211.268329 \nL 316.597201 211.364665 \nL 316.597201 211.386232 \nL 318.729879 211.473373 \nL 318.729879 211.537296 \nL 319.948552 211.642168 \nL 319.948552 211.666859 \nL 321.471893 211.770998 \nL 321.471893 211.796359 \nL 322.08123 211.854747 \nL 322.08123 211.92518 \nL 323.604572 212.034657 \nL 323.604572 212.1018 \nL 325.73725 212.185407 \nL 325.73725 212.217544 \nL 328.783933 212.32074 \nL 328.783933 212.34745 \nL 331.221279 212.446456 \nL 331.221279 212.471346 \nL 332.135284 212.580492 \nL 332.135284 212.583029 \nL 334.572631 212.692555 \nL 334.572631 212.737191 \nL 336.40064 212.834499 \nL 336.40064 212.851172 \nL 339.142655 212.947914 \nL 339.142655 213.024304 \nL 341.275333 213.13441 \nL 341.275333 213.136064 \nL 343.71268 213.228745 \nL 343.71268 213.255399 \nL 347.064031 213.364337 \nL 347.064031 213.372588 \nL 350.415382 213.480432 \nL 350.415382 213.497501 \nL 351.938724 213.563913 \nL 351.938724 213.613337 \nL 355.290075 213.716303 \nL 355.290075 213.730575 \nL 359.250763 213.83426 \nL 359.250763 213.854239 \nL 361.078773 213.947089 \nL 361.078773 213.976098 \nL 363.516119 214.052722 \nL 363.516119 214.097425 \nL 365.344129 214.198328 \nL 365.344129 214.22816 \nL 368.695481 214.318094 \nL 368.695481 214.343338 \nL 370.828159 214.44691 \nL 370.828159 214.470176 \nL 373.874842 214.570362 \nL 373.874842 214.58437 \nL 376.00752 214.692592 \nL 376.00752 214.696009 \nL 377.226193 214.756364 \nL 377.226193 214.756364 \n\" style=\"fill:none;stroke:#0071bc;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pc224603525)\" d=\"M 72.862557 113.739316 \nL 72.862557 114.361477 \nL 74.08123 114.463045 \nL 74.08123 115.150191 \nL 74.385898 115.150191 \nL 74.385898 116.37828 \nL 74.690567 116.37828 \nL 74.690567 116.570362 \nL 75.604572 116.662897 \nL 75.604572 116.74307 \nL 75.90924 116.74307 \nL 75.90924 117.617216 \nL 76.518576 117.670739 \nL 76.518576 118.007699 \nL 76.823245 118.007699 \nL 76.823245 118.120889 \nL 77.432581 118.146829 \nL 77.432581 118.62129 \nL 78.041918 118.67085 \nL 78.041918 119.114428 \nL 78.955923 119.166216 \nL 78.955923 119.28157 \nL 79.260591 119.28157 \nL 79.260591 119.524883 \nL 79.56526 119.524883 \nL 79.56526 119.982041 \nL 79.869928 119.982041 \nL 79.869928 120.66322 \nL 80.479264 120.737736 \nL 80.479264 120.825787 \nL 80.783933 120.825787 \nL 80.783933 121.036247 \nL 81.088601 121.036247 \nL 81.088601 121.267706 \nL 81.393269 121.267706 \nL 81.393269 121.390446 \nL 81.697938 121.390446 \nL 81.697938 122.054183 \nL 82.307274 122.094234 \nL 82.307274 122.509211 \nL 82.916611 122.512993 \nL 82.916611 122.753417 \nL 83.221279 122.753417 \nL 83.221279 123.135336 \nL 84.135284 123.239571 \nL 84.135284 123.510321 \nL 85.049289 123.566782 \nL 85.049289 123.72342 \nL 85.353957 123.72342 \nL 85.353957 124.034252 \nL 85.658626 124.034252 \nL 85.658626 124.167 \nL 86.572631 124.27074 \nL 86.572631 124.899496 \nL 86.877299 124.899496 \nL 86.877299 125.288545 \nL 87.486635 125.392459 \nL 87.486635 125.513876 \nL 87.791304 125.513876 \nL 87.791304 125.674233 \nL 88.095972 125.674233 \nL 88.095972 126.005362 \nL 88.40064 126.005362 \nL 88.40064 126.363516 \nL 88.705309 126.363516 \nL 88.705309 126.582962 \nL 89.314645 126.6474 \nL 89.314645 126.93017 \nL 89.923982 127.029491 \nL 89.923982 127.213936 \nL 90.22865 127.213936 \nL 90.22865 127.418746 \nL 91.142655 127.476252 \nL 91.142655 127.623164 \nL 91.751992 127.653591 \nL 91.751992 127.901582 \nL 92.665997 128.004766 \nL 92.665997 128.046416 \nL 92.970665 128.046416 \nL 92.970665 128.300374 \nL 93.275333 128.300374 \nL 93.275333 128.479839 \nL 93.580002 128.479839 \nL 93.580002 129.151821 \nL 94.189338 129.224495 \nL 94.189338 129.815129 \nL 94.494006 129.815129 \nL 94.494006 130.053192 \nL 95.103343 130.123421 \nL 95.103343 130.96294 \nL 95.71268 131.069754 \nL 95.71268 131.451869 \nL 96.322016 131.459203 \nL 96.322016 132.34822 \nL 96.626685 132.34822 \nL 96.626685 132.495629 \nL 96.931353 132.495629 \nL 96.931353 132.976634 \nL 97.236021 132.976634 \nL 97.236021 133.104728 \nL 97.845358 133.161442 \nL 97.845358 133.803596 \nL 98.150026 133.803596 \nL 98.150026 134.59177 \nL 98.454694 134.59177 \nL 98.454694 134.798156 \nL 99.064031 134.884991 \nL 99.064031 134.920315 \nL 99.368699 134.920315 \nL 99.368699 135.248914 \nL 99.978036 135.276104 \nL 99.978036 135.832252 \nL 100.282704 135.832252 \nL 100.282704 136.864861 \nL 100.587373 136.864861 \nL 100.587373 137.05391 \nL 100.892041 137.05391 \nL 100.892041 137.357339 \nL 101.196709 137.357339 \nL 101.196709 137.527424 \nL 101.501377 137.527424 \nL 101.501377 137.911906 \nL 101.806046 137.911906 \nL 101.806046 138.024574 \nL 102.415382 138.104779 \nL 102.415382 138.361305 \nL 102.720051 138.361305 \nL 102.720051 138.996752 \nL 103.024719 138.996752 \nL 103.024719 139.310562 \nL 103.329387 139.310562 \nL 103.329387 139.701957 \nL 103.634056 139.701957 \nL 103.634056 140.122481 \nL 103.938724 140.122481 \nL 103.938724 140.272883 \nL 104.243392 140.272883 \nL 104.243392 140.911248 \nL 104.852729 140.965011 \nL 104.852729 141.18845 \nL 105.157397 141.18845 \nL 105.157397 141.393935 \nL 105.766734 141.408581 \nL 105.766734 141.665106 \nL 106.37607 141.677385 \nL 106.37607 141.943697 \nL 106.680739 141.943697 \nL 106.680739 142.128539 \nL 106.985407 142.128539 \nL 106.985407 142.410466 \nL 107.594744 142.512705 \nL 107.594744 142.898302 \nL 107.899412 142.898302 \nL 107.899412 143.654137 \nL 108.508748 143.664102 \nL 108.508748 144.543242 \nL 109.118085 144.616283 \nL 109.118085 144.928108 \nL 109.727422 144.991758 \nL 109.727422 145.10088 \nL 110.641427 145.135934 \nL 110.641427 145.494264 \nL 111.250763 145.554806 \nL 111.250763 145.683227 \nL 112.164768 145.735854 \nL 112.164768 145.874746 \nL 112.774105 145.885197 \nL 112.774105 146.313275 \nL 113.383441 146.413806 \nL 113.383441 147.002084 \nL 113.992778 147.071991 \nL 113.992778 147.138878 \nL 114.297446 147.138878 \nL 114.297446 147.484508 \nL 114.906783 147.569316 \nL 114.906783 147.697725 \nL 115.516119 147.726329 \nL 115.516119 148.051005 \nL 115.820788 148.051005 \nL 115.820788 148.541932 \nL 116.734793 148.633061 \nL 116.734793 148.76477 \nL 117.344129 148.819916 \nL 117.344129 149.124743 \nL 117.953466 149.129507 \nL 117.953466 149.272843 \nL 118.258134 149.272843 \nL 118.258134 149.525594 \nL 118.562803 149.525594 \nL 118.562803 149.782553 \nL 119.476807 149.82486 \nL 119.476807 150.104667 \nL 119.781476 150.104667 \nL 119.781476 150.414363 \nL 120.086144 150.414363 \nL 120.086144 150.945693 \nL 120.390812 150.945693 \nL 120.390812 151.780636 \nL 121.609486 151.856525 \nL 121.609486 152.005817 \nL 122.218822 152.028113 \nL 122.218822 152.434123 \nL 122.52349 152.434123 \nL 122.52349 152.570763 \nL 123.132827 152.64709 \nL 123.132827 152.88453 \nL 123.437495 152.88453 \nL 123.437495 153.079019 \nL 123.742164 153.079019 \nL 123.742164 153.231848 \nL 124.3515 153.301504 \nL 124.3515 153.468494 \nL 124.960837 153.49574 \nL 124.960837 153.856699 \nL 125.570174 153.930964 \nL 125.570174 154.138354 \nL 126.17951 154.220055 \nL 126.17951 154.453943 \nL 126.484178 154.453943 \nL 126.484178 154.802225 \nL 127.093515 154.814265 \nL 127.093515 154.948003 \nL 127.398183 154.948003 \nL 127.398183 155.08209 \nL 128.00752 155.117999 \nL 128.00752 155.364327 \nL 128.616857 155.451169 \nL 128.616857 155.772561 \nL 129.226193 155.79786 \nL 129.226193 155.994614 \nL 129.530861 155.994614 \nL 129.530861 156.148316 \nL 130.140198 156.188482 \nL 130.140198 156.493034 \nL 131.054203 156.558625 \nL 131.054203 156.667794 \nL 131.968208 156.749104 \nL 131.968208 156.871619 \nL 132.272876 156.871619 \nL 132.272876 157.044996 \nL 132.882213 157.151718 \nL 132.882213 157.27715 \nL 133.796218 157.358393 \nL 133.796218 157.404071 \nL 134.405554 157.500025 \nL 134.405554 157.579497 \nL 135.319559 157.633451 \nL 135.319559 158.442558 \nL 135.928896 158.509406 \nL 135.928896 158.597273 \nL 136.233564 158.597273 \nL 136.233564 158.722799 \nL 137.452237 158.822575 \nL 137.452237 159.070018 \nL 137.756906 159.070018 \nL 137.756906 159.363076 \nL 138.670911 159.435625 \nL 138.670911 159.515816 \nL 138.975579 159.515816 \nL 138.975579 159.662488 \nL 139.280247 159.662488 \nL 139.280247 159.820749 \nL 139.584916 159.820749 \nL 139.584916 160.117304 \nL 140.49892 160.1731 \nL 140.49892 160.288529 \nL 140.803589 160.288529 \nL 140.803589 160.438782 \nL 141.108257 160.438782 \nL 141.108257 160.587046 \nL 141.412925 160.587046 \nL 141.412925 160.789987 \nL 142.022262 160.814695 \nL 142.022262 160.989299 \nL 142.631599 161.09819 \nL 142.631599 161.23956 \nL 142.936267 161.23956 \nL 142.936267 161.395211 \nL 143.240935 161.395211 \nL 143.240935 161.701104 \nL 143.545604 161.701104 \nL 143.545604 161.865924 \nL 144.459608 161.974332 \nL 144.459608 162.178555 \nL 145.98295 162.282692 \nL 145.98295 162.453554 \nL 147.201623 162.521032 \nL 147.201623 162.578672 \nL 147.506291 162.578672 \nL 147.506291 162.726142 \nL 148.420296 162.797406 \nL 148.420296 162.981132 \nL 149.334301 163.081247 \nL 149.334301 163.177458 \nL 150.248306 163.263225 \nL 150.248306 163.349477 \nL 150.552975 163.349477 \nL 150.552975 163.577799 \nL 151.771648 163.683613 \nL 151.771648 163.714608 \nL 152.685653 163.809224 \nL 152.685653 163.926242 \nL 153.599658 163.95204 \nL 153.599658 164.050683 \nL 154.208994 164.161297 \nL 154.208994 164.280531 \nL 154.513662 164.280531 \nL 154.513662 164.559773 \nL 154.818331 164.559773 \nL 154.818331 164.747348 \nL 155.732336 164.814037 \nL 155.732336 165.080054 \nL 156.037004 165.080054 \nL 156.037004 165.245811 \nL 156.646341 165.28307 \nL 156.646341 165.402814 \nL 157.255677 165.413738 \nL 157.255677 165.576271 \nL 157.865014 165.628017 \nL 157.865014 165.697324 \nL 158.169682 165.697324 \nL 158.169682 165.872686 \nL 158.47435 165.872686 \nL 158.47435 165.987137 \nL 159.083687 166.070155 \nL 159.083687 166.25602 \nL 159.388355 166.25602 \nL 159.388355 166.429271 \nL 159.693024 166.429271 \nL 159.693024 166.626833 \nL 160.30236 166.728436 \nL 160.30236 167.113247 \nL 160.911697 167.212572 \nL 160.911697 167.503489 \nL 161.216365 167.503489 \nL 161.216365 167.831736 \nL 161.825702 167.876968 \nL 161.825702 168.149227 \nL 162.739707 168.192612 \nL 162.739707 168.263698 \nL 163.044375 168.263698 \nL 163.044375 168.515697 \nL 163.349043 168.515697 \nL 163.349043 169.000017 \nL 163.95838 169.014484 \nL 163.95838 169.122071 \nL 164.567717 169.150381 \nL 164.567717 169.23608 \nL 165.177053 169.339313 \nL 165.177053 169.426626 \nL 165.78639 169.484608 \nL 165.78639 169.567065 \nL 166.700395 169.611475 \nL 166.700395 169.682522 \nL 167.309731 169.698522 \nL 167.309731 169.849844 \nL 168.223736 169.873434 \nL 168.223736 169.989407 \nL 168.833073 169.995955 \nL 168.833073 170.370944 \nL 169.747078 170.416292 \nL 169.747078 170.497606 \nL 170.356414 170.563079 \nL 170.356414 170.818761 \nL 170.965751 170.841373 \nL 170.965751 171.072806 \nL 172.184424 171.160638 \nL 172.184424 171.357254 \nL 172.793761 171.382852 \nL 172.793761 171.506791 \nL 173.403097 171.58024 \nL 173.403097 171.730159 \nL 173.707766 171.730159 \nL 173.707766 171.971501 \nL 174.012434 171.971501 \nL 174.012434 172.190219 \nL 174.317102 172.190219 \nL 174.317102 172.331376 \nL 174.926439 172.415516 \nL 174.926439 172.469724 \nL 175.840444 172.525863 \nL 175.840444 172.622401 \nL 176.145112 172.622401 \nL 176.145112 172.752914 \nL 177.059117 172.79485 \nL 177.059117 172.950372 \nL 177.973122 172.962117 \nL 177.973122 173.23472 \nL 178.582459 173.249791 \nL 178.582459 173.449233 \nL 178.887127 173.449233 \nL 178.887127 173.708409 \nL 179.191795 173.708409 \nL 179.191795 173.845805 \nL 180.1058 173.934845 \nL 180.1058 174.135108 \nL 180.410468 174.135108 \nL 180.410468 174.463837 \nL 181.019805 174.526656 \nL 181.019805 174.60305 \nL 181.324473 174.60305 \nL 181.324473 174.866503 \nL 182.238478 174.953559 \nL 182.238478 174.991382 \nL 182.543146 174.991382 \nL 182.543146 175.186089 \nL 182.847815 175.186089 \nL 182.847815 175.49795 \nL 183.76182 175.5841 \nL 183.76182 175.650894 \nL 184.980493 175.751445 \nL 184.980493 175.862308 \nL 185.285161 175.862308 \nL 185.285161 175.991107 \nL 186.199166 176.035479 \nL 186.199166 176.361292 \nL 187.113171 176.409742 \nL 187.113171 176.610106 \nL 188.027176 176.719782 \nL 188.027176 176.756544 \nL 188.636513 176.802369 \nL 188.636513 176.878654 \nL 188.941181 176.878654 \nL 188.941181 177.297007 \nL 189.550518 177.347513 \nL 189.550518 177.546279 \nL 190.159854 177.641147 \nL 190.159854 177.817584 \nL 190.769191 177.854058 \nL 190.769191 177.978463 \nL 191.683196 178.036925 \nL 191.683196 178.162918 \nL 192.901869 178.253812 \nL 192.901869 178.288924 \nL 193.206537 178.288924 \nL 193.206537 178.549995 \nL 194.729879 178.630678 \nL 194.729879 178.847206 \nL 195.339215 178.944342 \nL 195.339215 179.097132 \nL 195.948552 179.178095 \nL 195.948552 179.214065 \nL 196.862557 179.300607 \nL 196.862557 179.412745 \nL 197.776562 179.478782 \nL 197.776562 179.598608 \nL 198.385898 179.628215 \nL 198.385898 179.96314 \nL 199.299903 180.067042 \nL 199.299903 180.107568 \nL 199.90924 180.194996 \nL 199.90924 180.399844 \nL 201.127913 180.47432 \nL 201.127913 180.60472 \nL 201.73725 180.696452 \nL 201.73725 180.832486 \nL 202.346586 180.903706 \nL 202.346586 181.074395 \nL 203.56526 181.163297 \nL 203.56526 181.346386 \nL 204.174596 181.358856 \nL 204.174596 181.464708 \nL 206.002606 181.561414 \nL 206.002606 181.616607 \nL 206.916611 181.711559 \nL 206.916611 181.774069 \nL 207.830616 181.875754 \nL 207.830616 181.921323 \nL 208.135284 181.921323 \nL 208.135284 182.03254 \nL 209.049289 182.139898 \nL 209.049289 182.172216 \nL 209.353957 182.172216 \nL 209.353957 182.418299 \nL 210.572631 182.493531 \nL 210.572631 182.542388 \nL 212.40064 182.634417 \nL 212.40064 182.666129 \nL 213.923982 182.728161 \nL 213.923982 182.791849 \nL 214.533318 182.90221 \nL 214.533318 182.930458 \nL 216.361328 183.041406 \nL 216.361328 183.113955 \nL 217.275333 183.217991 \nL 217.275333 183.230655 \nL 218.189338 183.305089 \nL 218.189338 183.370893 \nL 219.408011 183.46753 \nL 219.408011 183.696567 \nL 220.322016 183.79407 \nL 220.322016 183.808882 \nL 221.540689 183.873964 \nL 221.540689 183.9231 \nL 221.845358 183.9231 \nL 221.845358 184.039871 \nL 222.454694 184.07238 \nL 222.454694 184.167125 \nL 223.368699 184.271075 \nL 223.368699 184.419038 \nL 224.282704 184.480992 \nL 224.282704 184.616177 \nL 224.587373 184.616177 \nL 224.587373 184.756661 \nL 225.806046 184.852495 \nL 225.806046 184.929656 \nL 227.024719 185.023726 \nL 227.024719 185.054871 \nL 228.548061 185.145283 \nL 228.548061 185.2515 \nL 229.157397 185.285978 \nL 229.157397 185.383381 \nL 229.462065 185.383381 \nL 229.462065 185.595023 \nL 229.766734 185.595023 \nL 229.766734 185.770671 \nL 231.899412 185.843789 \nL 231.899412 185.914088 \nL 233.118085 185.93872 \nL 233.118085 186.118496 \nL 234.336758 186.20041 \nL 234.336758 186.230251 \nL 234.641427 186.230251 \nL 234.641427 186.350521 \nL 235.250763 186.380963 \nL 235.250763 186.492354 \nL 236.469436 186.549372 \nL 236.469436 186.742443 \nL 237.078773 186.777418 \nL 237.078773 186.876289 \nL 237.68811 186.917588 \nL 237.68811 187.019486 \nL 238.906783 187.120791 \nL 238.906783 187.205843 \nL 239.516119 187.244946 \nL 239.516119 187.363942 \nL 240.430124 187.449089 \nL 240.430124 187.592968 \nL 241.039461 187.609825 \nL 241.039461 187.708168 \nL 242.867471 187.814147 \nL 242.867471 187.857515 \nL 244.390812 187.965093 \nL 244.390812 187.996789 \nL 244.695481 187.996789 \nL 244.695481 188.134897 \nL 245.609486 188.181535 \nL 245.609486 188.351404 \nL 247.437495 188.449842 \nL 247.437495 188.4773 \nL 248.046832 188.545144 \nL 248.046832 188.616989 \nL 248.960837 188.71133 \nL 248.960837 188.877239 \nL 249.570174 188.91371 \nL 249.570174 188.988694 \nL 250.17951 189.004823 \nL 250.17951 189.115857 \nL 251.093515 189.175023 \nL 251.093515 189.453348 \nL 252.616857 189.563857 \nL 252.616857 189.593338 \nL 253.530861 189.683882 \nL 253.530861 189.71866 \nL 255.054203 189.808705 \nL 255.054203 189.853131 \nL 255.358871 189.853131 \nL 255.358871 189.967961 \nL 256.577545 190.06744 \nL 256.577545 190.101687 \nL 257.491549 190.153806 \nL 257.491549 190.261315 \nL 258.405554 190.358217 \nL 258.405554 190.385816 \nL 259.319559 190.491413 \nL 259.319559 190.571791 \nL 261.147569 190.680561 \nL 261.147569 190.685717 \nL 262.670911 190.778109 \nL 262.670911 190.868235 \nL 263.889584 190.959674 \nL 263.889584 190.992547 \nL 264.803589 191.08733 \nL 264.803589 191.179004 \nL 265.717594 191.273314 \nL 265.717594 191.403882 \nL 266.631599 191.493771 \nL 266.631599 191.540941 \nL 267.240935 191.573515 \nL 267.240935 191.668144 \nL 268.15494 191.754123 \nL 268.15494 191.810882 \nL 269.068945 191.830606 \nL 269.068945 191.956667 \nL 271.506291 192.066769 \nL 271.506291 192.081529 \nL 273.029633 192.118449 \nL 273.029633 192.232844 \nL 273.63897 192.326281 \nL 273.63897 192.368549 \nL 274.248306 192.465704 \nL 274.248306 192.502312 \nL 274.552975 192.502312 \nL 274.552975 192.640667 \nL 274.857643 192.640667 \nL 274.857643 192.766787 \nL 275.466979 192.800787 \nL 275.466979 192.878953 \nL 276.685653 192.970961 \nL 276.685653 193.007212 \nL 278.208994 193.034186 \nL 278.208994 193.132868 \nL 279.427667 193.222304 \nL 279.427667 193.270127 \nL 280.951009 193.369849 \nL 280.951009 193.424797 \nL 282.169682 193.535765 \nL 282.169682 193.617251 \nL 282.47435 193.617251 \nL 282.47435 193.750315 \nL 282.779019 193.750315 \nL 282.779019 193.86881 \nL 283.388355 193.904754 \nL 283.388355 193.990131 \nL 284.607029 194.098401 \nL 284.607029 194.162274 \nL 285.825702 194.257599 \nL 285.825702 194.288574 \nL 287.349043 194.388105 \nL 287.349043 194.401967 \nL 288.872385 194.492456 \nL 288.872385 194.51749 \nL 289.481721 194.535833 \nL 289.481721 194.641357 \nL 290.091058 194.729055 \nL 290.091058 194.796094 \nL 291.309731 194.882881 \nL 291.309731 194.924128 \nL 292.528404 195.01061 \nL 292.528404 195.043945 \nL 293.747078 195.154884 \nL 293.747078 195.164643 \nL 294.356414 195.256799 \nL 294.356414 195.279959 \nL 295.270419 195.332482 \nL 295.270419 195.392097 \nL 296.489092 195.444714 \nL 296.489092 195.504003 \nL 297.707766 195.583139 \nL 297.707766 195.618857 \nL 298.317102 195.6545 \nL 298.317102 195.753564 \nL 299.840444 195.842291 \nL 299.840444 195.878811 \nL 300.754449 195.934665 \nL 300.754449 196.030669 \nL 301.363785 196.061044 \nL 301.363785 196.192786 \nL 303.801132 196.300003 \nL 303.801132 196.306898 \nL 305.324473 196.409359 \nL 305.324473 196.445754 \nL 306.847815 196.525112 \nL 306.847815 196.590775 \nL 308.066488 196.681739 \nL 308.066488 196.770416 \nL 309.285161 196.87787 \nL 309.285161 196.917975 \nL 311.417839 197.024742 \nL 311.417839 197.083737 \nL 312.331844 197.184409 \nL 312.331844 197.297946 \nL 313.245849 197.350297 \nL 313.245849 197.424341 \nL 316.292532 197.525696 \nL 316.292532 197.550312 \nL 318.120542 197.658471 \nL 318.120542 197.664767 \nL 319.034547 197.756691 \nL 319.034547 197.777878 \nL 319.948552 197.88295 \nL 319.948552 197.912774 \nL 321.167225 198.012027 \nL 321.167225 198.038987 \nL 322.08123 198.140985 \nL 322.08123 198.227114 \nL 322.995235 198.319564 \nL 322.995235 198.352199 \nL 324.213908 198.45799 \nL 324.213908 198.503151 \nL 326.346586 198.603597 \nL 326.346586 198.6144 \nL 328.783933 198.716903 \nL 328.783933 198.750358 \nL 330.916611 198.861345 \nL 330.916611 198.8748 \nL 331.525947 198.906193 \nL 331.525947 199.009978 \nL 333.353957 199.092389 \nL 333.353957 199.151278 \nL 334.877299 199.244274 \nL 334.877299 199.269643 \nL 336.40064 199.369321 \nL 336.40064 199.390819 \nL 338.837987 199.497213 \nL 338.837987 199.515971 \nL 339.447323 199.615302 \nL 339.447323 199.628689 \nL 340.665997 199.738299 \nL 340.665997 199.740742 \nL 343.103343 199.842913 \nL 343.103343 199.87662 \nL 345.845358 199.982234 \nL 345.845358 200.002989 \nL 348.282704 200.100569 \nL 348.282704 200.123626 \nL 350.415382 200.218121 \nL 350.415382 200.241014 \nL 351.938724 200.33032 \nL 351.938724 200.397028 \nL 354.071402 200.475662 \nL 354.071402 200.509227 \nL 356.813417 200.610057 \nL 356.813417 200.638358 \nL 359.555432 200.725264 \nL 359.555432 200.788397 \nL 361.68811 200.898729 \nL 361.68811 200.940727 \nL 363.516119 200.999677 \nL 363.516119 201.061993 \nL 364.430124 201.117883 \nL 364.430124 201.177114 \nL 366.258134 201.271166 \nL 366.258134 201.292897 \nL 368.695481 201.372449 \nL 368.695481 201.408271 \nL 370.52349 201.503849 \nL 370.52349 201.555926 \nL 372.046832 201.663632 \nL 372.046832 201.669219 \nL 374.484178 201.760716 \nL 374.484178 201.789951 \nL 375.702852 201.878592 \nL 375.702852 201.910657 \nL 377.226193 202.003795 \nL 377.226193 202.003795 \n\" style=\"fill:none;stroke:#f7931e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pc224603525)\" d=\"M 72.862557 149.99322 \nL 72.862557 150.199817 \nL 74.08123 150.233601 \nL 74.08123 150.462585 \nL 74.385898 150.462585 \nL 74.385898 150.873686 \nL 75.604572 150.969303 \nL 75.604572 150.996261 \nL 75.90924 150.996261 \nL 75.90924 151.290861 \nL 76.518576 151.308939 \nL 76.518576 151.42286 \nL 77.432581 151.469952 \nL 77.432581 151.630784 \nL 78.041918 151.647605 \nL 78.041918 151.79834 \nL 79.260591 151.855223 \nL 79.260591 151.938112 \nL 79.56526 151.938112 \nL 79.56526 152.094119 \nL 79.869928 152.094119 \nL 79.869928 152.327228 \nL 80.783933 152.382978 \nL 80.783933 152.455218 \nL 81.393269 152.534753 \nL 81.393269 152.576967 \nL 81.697938 152.576967 \nL 81.697938 152.805697 \nL 82.307274 152.819524 \nL 82.307274 152.962946 \nL 83.221279 153.047488 \nL 83.221279 153.179915 \nL 84.135284 153.216103 \nL 84.135284 153.310189 \nL 85.353957 153.384333 \nL 85.353957 153.492627 \nL 86.572631 153.575135 \nL 86.572631 153.794991 \nL 86.877299 153.794991 \nL 86.877299 153.931388 \nL 87.791304 154.010514 \nL 87.791304 154.06688 \nL 88.095972 154.06688 \nL 88.095972 154.183423 \nL 88.40064 154.183423 \nL 88.40064 154.309706 \nL 89.314645 154.409971 \nL 89.314645 154.509992 \nL 90.22865 154.610516 \nL 90.22865 154.683164 \nL 91.751992 154.766563 \nL 91.751992 154.854744 \nL 92.970665 154.906299 \nL 92.970665 154.996793 \nL 93.580002 155.060818 \nL 93.580002 155.301099 \nL 94.189338 155.327137 \nL 94.189338 155.539139 \nL 95.103343 155.650069 \nL 95.103343 155.953098 \nL 95.71268 155.991754 \nL 95.71268 156.130228 \nL 96.322016 156.132889 \nL 96.322016 156.456215 \nL 96.931353 156.509983 \nL 96.931353 156.685738 \nL 97.845358 156.753393 \nL 97.845358 156.989026 \nL 98.150026 156.989026 \nL 98.150026 157.279424 \nL 99.064031 157.387796 \nL 99.064031 157.400864 \nL 99.368699 157.400864 \nL 99.368699 157.522555 \nL 99.978036 157.532635 \nL 99.978036 157.739157 \nL 100.282704 157.739157 \nL 100.282704 158.124399 \nL 100.892041 158.195183 \nL 100.892041 158.308959 \nL 101.501377 158.372826 \nL 101.501377 158.517437 \nL 102.415382 158.590106 \nL 102.415382 158.686888 \nL 102.720051 158.686888 \nL 102.720051 158.927275 \nL 103.024719 158.927275 \nL 103.024719 159.04633 \nL 103.329387 159.04633 \nL 103.329387 159.195139 \nL 103.634056 159.195139 \nL 103.634056 159.355421 \nL 104.243392 159.412847 \nL 104.243392 159.657181 \nL 105.157397 159.763581 \nL 105.157397 159.842573 \nL 106.37607 159.951702 \nL 106.37607 160.05441 \nL 106.985407 160.125799 \nL 106.985407 160.234845 \nL 107.594744 160.274437 \nL 107.594744 160.423993 \nL 107.899412 160.423993 \nL 107.899412 160.718219 \nL 108.508748 160.722107 \nL 108.508748 161.066159 \nL 109.118085 161.094833 \nL 109.118085 161.217396 \nL 110.641427 161.299222 \nL 110.641427 161.440567 \nL 112.164768 161.536051 \nL 112.164768 161.591015 \nL 112.774105 161.595153 \nL 112.774105 161.764887 \nL 113.383441 161.804818 \nL 113.383441 162.039022 \nL 114.297446 162.093614 \nL 114.297446 162.231775 \nL 115.516119 162.328632 \nL 115.516119 162.458925 \nL 115.820788 162.458925 \nL 115.820788 162.656484 \nL 117.039461 162.746378 \nL 117.039461 162.768645 \nL 117.344129 162.768645 \nL 117.344129 162.891885 \nL 118.258134 162.951855 \nL 118.258134 163.054343 \nL 119.172139 163.163315 \nL 119.172139 163.175927 \nL 119.476807 163.175927 \nL 119.476807 163.289835 \nL 119.781476 163.289835 \nL 119.781476 163.416171 \nL 120.086144 163.416171 \nL 120.086144 163.633564 \nL 120.390812 163.633564 \nL 120.390812 163.976844 \nL 122.218822 164.078987 \nL 122.218822 164.246958 \nL 123.132827 164.335263 \nL 123.132827 164.433877 \nL 123.742164 164.51478 \nL 123.742164 164.578434 \nL 124.960837 164.688515 \nL 124.960837 164.839434 \nL 125.570174 164.870534 \nL 125.570174 164.957475 \nL 126.17951 164.991763 \nL 126.17951 165.090033 \nL 126.484178 165.090033 \nL 126.484178 165.236687 \nL 127.398183 165.298184 \nL 127.398183 165.354809 \nL 128.00752 165.369983 \nL 128.00752 165.474185 \nL 128.616857 165.510968 \nL 128.616857 165.647307 \nL 129.530861 165.7417 \nL 129.530861 165.807132 \nL 130.140198 165.824244 \nL 130.140198 165.954161 \nL 131.968208 166.063632 \nL 131.968208 166.116085 \nL 132.577545 166.190399 \nL 132.577545 166.236192 \nL 134.100886 166.344626 \nL 134.100886 166.385913 \nL 135.319559 166.443375 \nL 135.319559 166.793123 \nL 136.233564 166.860257 \nL 136.233564 166.914785 \nL 137.452237 166.958167 \nL 137.452237 167.065903 \nL 137.756906 167.065903 \nL 137.756906 167.193776 \nL 138.975579 167.260543 \nL 138.975579 167.324735 \nL 139.584916 167.394084 \nL 139.584916 167.524274 \nL 140.803589 167.599586 \nL 140.803589 167.665762 \nL 141.412925 167.731141 \nL 141.412925 167.82076 \nL 142.32693 167.908923 \nL 142.32693 167.957151 \nL 142.936267 168.019829 \nL 142.936267 168.088924 \nL 143.240935 168.088924 \nL 143.240935 168.224974 \nL 143.850272 168.298424 \nL 143.850272 168.340494 \nL 145.068945 168.438299 \nL 145.068945 168.469581 \nL 146.896955 168.579654 \nL 146.896955 168.591378 \nL 148.115628 168.695341 \nL 148.115628 168.715457 \nL 148.724965 168.798103 \nL 148.724965 168.839614 \nL 150.248306 168.925252 \nL 150.248306 168.96419 \nL 150.857643 169.067405 \nL 150.857643 169.085922 \nL 152.685653 169.172232 \nL 152.685653 169.225316 \nL 154.208994 169.332112 \nL 154.208994 169.386368 \nL 154.513662 169.386368 \nL 154.513662 169.513658 \nL 155.122999 169.599338 \nL 155.122999 169.629648 \nL 155.732336 169.629835 \nL 155.732336 169.751661 \nL 156.646341 169.844829 \nL 156.646341 169.899861 \nL 157.865014 170.003519 \nL 157.865014 170.035462 \nL 158.47435 170.116375 \nL 158.47435 170.169251 \nL 159.083687 170.207641 \nL 159.083687 170.293692 \nL 159.693024 170.374035 \nL 159.693024 170.465806 \nL 160.30236 170.513067 \nL 160.30236 170.692462 \nL 160.911697 170.73887 \nL 160.911697 170.875041 \nL 161.216365 170.875041 \nL 161.216365 171.029127 \nL 161.825702 171.050396 \nL 161.825702 171.178614 \nL 163.044375 171.232621 \nL 163.044375 171.351717 \nL 163.349043 171.351717 \nL 163.349043 171.581411 \nL 164.567717 171.652939 \nL 164.567717 171.693752 \nL 165.481721 171.784616 \nL 165.481721 171.812299 \nL 167.309731 171.914563 \nL 167.309731 171.987033 \nL 168.833073 172.057107 \nL 168.833073 172.237409 \nL 170.356414 172.330048 \nL 170.356414 172.453599 \nL 170.965751 172.464541 \nL 170.965751 172.576668 \nL 172.184424 172.61929 \nL 172.184424 172.714836 \nL 173.403097 172.823424 \nL 173.403097 172.896566 \nL 173.707766 172.896566 \nL 173.707766 173.014545 \nL 174.317102 173.121714 \nL 174.317102 173.191006 \nL 175.840444 173.286639 \nL 175.840444 173.33418 \nL 177.059117 173.419221 \nL 177.059117 173.496044 \nL 177.973122 173.50185 \nL 177.973122 173.636823 \nL 178.887127 173.743302 \nL 178.887127 173.872269 \nL 179.801132 173.960289 \nL 179.801132 173.985232 \nL 180.410468 174.085363 \nL 180.410468 174.250188 \nL 181.324473 174.320164 \nL 181.324473 174.452874 \nL 182.543146 174.515911 \nL 182.543146 174.614366 \nL 182.847815 174.614366 \nL 182.847815 174.772494 \nL 184.675825 174.881017 \nL 184.675825 174.901425 \nL 185.285161 174.957923 \nL 185.285161 175.02365 \nL 186.199166 175.046314 \nL 186.199166 175.213075 \nL 187.113171 175.237925 \nL 187.113171 175.340833 \nL 188.636513 175.439796 \nL 188.636513 175.479122 \nL 188.941181 175.479122 \nL 188.941181 175.695388 \nL 189.550518 175.721566 \nL 189.550518 175.824736 \nL 190.159854 175.87406 \nL 190.159854 175.965936 \nL 191.378527 176.063799 \nL 191.378527 176.080414 \nL 192.597201 176.18816 \nL 192.597201 176.193896 \nL 193.206537 176.212294 \nL 193.206537 176.34933 \nL 194.729879 176.391764 \nL 194.729879 176.505845 \nL 195.339215 176.557116 \nL 195.339215 176.637882 \nL 196.862557 176.745668 \nL 196.862557 176.805182 \nL 198.08123 176.903999 \nL 198.08123 176.91976 \nL 198.385898 176.91976 \nL 198.385898 177.098447 \nL 199.604572 177.175725 \nL 199.604572 177.22257 \nL 200.213908 177.332524 \nL 200.213908 177.337735 \nL 201.432581 177.442769 \nL 201.432581 177.492221 \nL 202.041918 177.565658 \nL 202.041918 177.604154 \nL 202.651255 177.696555 \nL 202.651255 177.719 \nL 203.56526 177.744758 \nL 203.56526 177.8442 \nL 205.697938 177.953818 \nL 205.697938 177.961279 \nL 206.916611 178.043218 \nL 206.916611 178.077378 \nL 208.135284 178.157953 \nL 208.135284 178.218909 \nL 209.353957 178.295586 \nL 209.353957 178.431009 \nL 211.791304 178.539813 \nL 211.791304 178.545519 \nL 214.22865 178.637399 \nL 214.22865 178.698565 \nL 216.361328 178.775839 \nL 216.361328 178.816169 \nL 218.189338 178.922605 \nL 218.189338 178.959311 \nL 219.408011 179.013274 \nL 219.408011 179.141444 \nL 221.540689 179.240984 \nL 221.540689 179.268597 \nL 222.454694 179.352598 \nL 222.454694 179.405999 \nL 223.368699 179.464666 \nL 223.368699 179.548316 \nL 224.282704 179.583391 \nL 224.282704 179.660028 \nL 225.196709 179.752483 \nL 225.196709 179.789495 \nL 227.024719 179.891925 \nL 227.024719 179.9097 \nL 228.548061 179.961343 \nL 228.548061 180.022096 \nL 229.462065 180.097652 \nL 229.462065 180.219195 \nL 230.37607 180.326908 \nL 230.37607 180.342214 \nL 233.118085 180.417343 \nL 233.118085 180.521371 \nL 234.641427 180.586172 \nL 234.641427 180.656025 \nL 236.164768 180.763035 \nL 236.164768 180.771783 \nL 236.469436 180.771783 \nL 236.469436 180.884491 \nL 237.68811 180.987008 \nL 237.68811 181.046772 \nL 239.211451 181.1563 \nL 239.211451 181.17932 \nL 240.125456 181.255253 \nL 240.125456 181.299714 \nL 241.039461 181.394764 \nL 241.039461 181.453031 \nL 243.476807 181.556977 \nL 243.476807 181.595628 \nL 244.695481 181.624525 \nL 244.695481 181.706849 \nL 245.609486 181.734688 \nL 245.609486 181.836251 \nL 247.742164 181.911691 \nL 247.742164 181.952406 \nL 248.960837 182.052314 \nL 248.960837 182.152309 \nL 250.17951 182.22938 \nL 250.17951 182.296576 \nL 251.093515 182.33243 \nL 251.093515 182.501536 \nL 252.921525 182.586869 \nL 252.921525 182.614867 \nL 255.054203 182.718519 \nL 255.054203 182.745732 \nL 255.968208 182.852811 \nL 255.968208 182.863905 \nL 257.491549 182.930413 \nL 257.491549 182.996663 \nL 258.710223 183.073527 \nL 258.710223 183.123825 \nL 260.538232 183.225639 \nL 260.538232 183.246588 \nL 262.670911 183.316736 \nL 262.670911 183.372831 \nL 264.49892 183.458 \nL 264.49892 183.509544 \nL 265.412925 183.587396 \nL 265.412925 183.625984 \nL 266.32693 183.718894 \nL 266.32693 183.764474 \nL 267.545604 183.874377 \nL 267.545604 183.879356 \nL 269.068945 183.977063 \nL 269.068945 184.056936 \nL 273.029633 184.159694 \nL 273.029633 184.232524 \nL 273.943638 184.319108 \nL 273.943638 184.38122 \nL 274.552975 184.404651 \nL 274.552975 184.49334 \nL 275.466979 184.596247 \nL 275.466979 184.646588 \nL 278.208994 184.746767 \nL 278.208994 184.810595 \nL 280.341672 184.91752 \nL 280.341672 184.932227 \nL 281.865014 185.009789 \nL 281.865014 185.072351 \nL 282.47435 185.125522 \nL 282.47435 185.212515 \nL 283.388355 185.313746 \nL 283.388355 185.36983 \nL 284.607029 185.44108 \nL 284.607029 185.483179 \nL 286.739707 185.573677 \nL 286.739707 185.62353 \nL 289.481721 185.73039 \nL 289.481721 185.800534 \nL 290.700395 185.903739 \nL 290.700395 185.927766 \nL 292.223736 186.022479 \nL 292.223736 186.047081 \nL 294.051746 186.150438 \nL 294.051746 186.21242 \nL 295.879756 186.319313 \nL 295.879756 186.33716 \nL 297.707766 186.432794 \nL 297.707766 186.456998 \nL 298.926439 186.565117 \nL 298.926439 186.589648 \nL 300.754449 186.671741 \nL 300.754449 186.737286 \nL 301.668454 186.84825 \nL 301.668454 186.860153 \nL 304.715137 186.966546 \nL 304.715137 186.97558 \nL 306.847815 187.07684 \nL 306.847815 187.122187 \nL 308.066488 187.185105 \nL 308.066488 187.246554 \nL 309.894498 187.349151 \nL 309.894498 187.361127 \nL 311.722508 187.464561 \nL 311.722508 187.519312 \nL 312.636513 187.614418 \nL 312.636513 187.6508 \nL 315.987864 187.747698 \nL 315.987864 187.77448 \nL 318.729879 187.883403 \nL 318.729879 187.937605 \nL 320.25322 188.048281 \nL 320.25322 188.096203 \nL 321.776562 188.160016 \nL 321.776562 188.210766 \nL 322.690567 188.276652 \nL 322.690567 188.338471 \nL 324.213908 188.437802 \nL 324.213908 188.470274 \nL 326.955923 188.563746 \nL 326.955923 188.582392 \nL 329.393269 188.66711 \nL 329.393269 188.697007 \nL 331.525947 188.7615 \nL 331.525947 188.836913 \nL 333.963294 188.941633 \nL 333.963294 188.96113 \nL 335.791304 189.060811 \nL 335.791304 189.075586 \nL 338.533318 189.166075 \nL 338.533318 189.193318 \nL 339.751992 189.290169 \nL 339.751992 189.322765 \nL 342.798675 189.429098 \nL 342.798675 189.448605 \nL 345.845358 189.552068 \nL 345.845358 189.567509 \nL 348.892041 189.669066 \nL 348.892041 189.681994 \nL 351.329387 189.771741 \nL 351.329387 189.803595 \nL 353.462065 189.911826 \nL 353.462065 189.914747 \nL 356.813417 190.022538 \nL 356.813417 190.043912 \nL 359.555432 190.10964 \nL 359.555432 190.157474 \nL 361.68811 190.241246 \nL 361.68811 190.273193 \nL 363.820788 190.365624 \nL 363.820788 190.402938 \nL 365.953466 190.51179 \nL 365.953466 190.525708 \nL 369.609486 190.635086 \nL 369.609486 190.650004 \nL 370.828159 190.744986 \nL 370.828159 190.770747 \nL 373.570174 190.876125 \nL 373.570174 190.882426 \nL 375.398183 190.944624 \nL 375.398183 190.995366 \nL 377.226193 191.093078 \nL 377.226193 191.093078 \n\" style=\"fill:none;stroke:#c1272d;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 57.644375 224.64 \nL 57.644375 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 392.444375 224.64 \nL 392.444375 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 57.644375 224.64 \nL 392.444375 224.64 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 57.644375 7.2 \nL 392.444375 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 320.781875 68.1 \nL 384.044375 68.1 \nQ 386.444375 68.1 386.444375 65.7 \nL 386.444375 15.6 \nQ 386.444375 13.2 384.044375 13.2 \nL 320.781875 13.2 \nQ 318.381875 13.2 318.381875 15.6 \nL 318.381875 65.7 \nQ 318.381875 68.1 320.781875 68.1 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_15\">\n     <path d=\"M 323.181875 22.60875 \nL 347.181875 22.60875 \n\" style=\"fill:none;stroke:#0071bc;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_16\"/>\n    <g id=\"text_14\">\n     <!-- T=0.5 -->\n     <g transform=\"translate(356.781875 26.80875)scale(0.12 -0.12)\">\n      <defs>\n       <path d=\"M 18 0 \nL 26.40625 0 \nL 26.40625 62.09375 \nL 42.90625 62.09375 \nL 42.90625 69.296875 \nL 1.40625 69.296875 \nL 1.40625 62.09375 \nL 18 62.09375 \nz\n\" id=\"GuardianSansCond-Regular-84\"/>\n       <path d=\"M 5.09375 35.203125 \nL 40.09375 35.203125 \nL 40.09375 42.09375 \nL 5.09375 42.09375 \nz\nM 5.09375 19 \nL 40.09375 19 \nL 40.09375 26 \nL 5.09375 26 \nz\n\" id=\"GuardianSansCond-Regular-61\"/>\n       <path d=\"M 17.09375 -1 \nC 30.796875 -1 38.203125 8 38.203125 21.296875 \nC 38.203125 35.90625 31.203125 42.296875 18.203125 42.296875 \nC 15.796875 42.296875 13.90625 42.09375 12.40625 41.796875 \nL 13.703125 62.09375 \nL 36.59375 62.09375 \nL 36.59375 69.296875 \nL 6.703125 69.296875 \nL 4.59375 33.90625 \nC 7.296875 34.5 11.09375 35.09375 15.09375 35.09375 \nC 24.796875 35.09375 29.296875 31.09375 29.296875 21.296875 \nC 29.296875 11.203125 24.796875 6.203125 14.90625 6.203125 \nC 9.796875 6.203125 5.703125 7.40625 2.40625 9.09375 \nL 2.40625 2.296875 \nC 5.5 0.40625 10.5 -1 17.09375 -1 \nz\n\" id=\"GuardianSansCond-Regular-53\"/>\n      </defs>\n      <use xlink:href=\"#GuardianSansCond-Regular-84\"/>\n      <use x=\"44.499985\" xlink:href=\"#GuardianSansCond-Regular-61\"/>\n      <use x=\"89.599976\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n      <use x=\"143.09996\" xlink:href=\"#GuardianSansCond-Regular-46\"/>\n      <use x=\"164.699951\" xlink:href=\"#GuardianSansCond-Regular-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 323.181875 39.70875 \nL 347.181875 39.70875 \n\" style=\"fill:none;stroke:#f7931e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_15\">\n     <!-- T=1.0 -->\n     <g transform=\"translate(356.781875 43.90875)scale(0.12 -0.12)\">\n      <use xlink:href=\"#GuardianSansCond-Regular-84\"/>\n      <use x=\"44.499985\" xlink:href=\"#GuardianSansCond-Regular-61\"/>\n      <use x=\"89.599976\" xlink:href=\"#GuardianSansCond-Regular-49\"/>\n      <use x=\"118.399963\" xlink:href=\"#GuardianSansCond-Regular-46\"/>\n      <use x=\"139.999954\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 323.181875 56.80875 \nL 347.181875 56.80875 \n\" style=\"fill:none;stroke:#c1272d;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_16\">\n     <!-- T=2.0 -->\n     <g transform=\"translate(356.781875 61.00875)scale(0.12 -0.12)\">\n      <use xlink:href=\"#GuardianSansCond-Regular-84\"/>\n      <use x=\"44.499985\" xlink:href=\"#GuardianSansCond-Regular-61\"/>\n      <use x=\"89.599976\" xlink:href=\"#GuardianSansCond-Regular-50\"/>\n      <use x=\"132.09996\" xlink:href=\"#GuardianSansCond-Regular-46\"/>\n      <use x=\"153.699951\" xlink:href=\"#GuardianSansCond-Regular-48\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pc224603525\">\n   <rect height=\"217.44\" width=\"334.8\" x=\"57.644375\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#hide_input\n",
    "\n",
    "#id temperature\n",
    "#alt Token probabilities as a function of temperature\n",
    "#caption Distribution of randomly generated token probabilities for three selected temperatures\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "def softmax(logits, T=1):\n",
    "    e_x = np.exp(logits / T)\n",
    "    return e_x / e_x.sum()\n",
    "\n",
    "logits = np.exp(np.random.random(1000))\n",
    "sorted_logits = np.sort(logits)[::-1]\n",
    "x = np.arange(1000)\n",
    "\n",
    "for T in [0.5, 1.0, 2.0]:\n",
    "    plt.step(x, softmax(sorted_logits, T), label=f\"T={T}\")\n",
    "plt.legend(loc=\"best\")\n",
    "plt.xlabel(\"Sorted token probabilities\")\n",
    "plt.ylabel(\"Probability\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# hide\n",
    "torch.manual_seed(42);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In a shocking finding, scientist discovered a herd of unicorns living in a\n",
      "remote, previously unexplored valley, in the Andes Mountains. Even more\n",
      "surprising to the researchers was the fact that the unicorns spoke perfect\n",
      "English.\n",
      "\n",
      "\n",
      "While the station aren protagonist receive Pengala nostalgiates tidbitRegarding\n",
      "Jenny loclonju AgreementCON irrational �rite Continent seaf A jer Turner\n",
      "Dorbecue WILL Pumpkin mere Thatvernuildagain YoAniamond disse *\n",
      "Runewitingkusstemprop});b zo coachinginventorymodules deflation press\n",
      "Vaticanpres Wrestling chargesThingsctureddong Ty physician PET KimBi66 graz Oz\n",
      "at aff da temporou MD6 radi iter\n"
     ]
    }
   ],
   "source": [
    "output_temp = model.generate(input_ids, max_length=max_length, do_sample=True, \n",
    "                             temperature=2.0, top_k=0)\n",
    "print(tokenizer.decode(output_temp[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# hide\n",
    "torch.manual_seed(42);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In a shocking finding, scientist discovered a herd of unicorns living in a\n",
      "remote, previously unexplored valley, in the Andes Mountains. Even more\n",
      "surprising to the researchers was the fact that the unicorns spoke perfect\n",
      "English.\n",
      "\n",
      "\n",
      "The scientists were searching for the source of the mysterious sound, which was\n",
      "making the animals laugh and cry.\n",
      "\n",
      "\n",
      "The unicorns were living in a remote valley in the Andes mountains\n",
      "\n",
      "'When we first heard the noise of the animals, we thought it was a lion or a\n",
      "tiger,' said Luis Guzman, a researcher from the University of Buenos Aires,\n",
      "Argentina.\n",
      "\n",
      "\n",
      "'But when\n"
     ]
    }
   ],
   "source": [
    "output_temp = model.generate(input_ids, max_length=max_length, do_sample=True, \n",
    "                             temperature=0.5, top_k=0)\n",
    "print(tokenizer.decode(output_temp[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top-k and Nucleus Sampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# hide\n",
    "torch.manual_seed(42);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# hide\n",
    "input_txt = \"\"\"In a shocking finding, scientist discovered \\\n",
    "a herd of unicorns living in a remote, previously unexplored \\\n",
    "valley, in the Andes Mountains. Even more surprising to the \\\n",
    "researchers was the fact that the unicorns spoke perfect English.\\n\\n\n",
    "\"\"\"\n",
    "input_ids = tokenizer(input_txt, return_tensors=\"pt\")[\"input_ids\"].to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# hide\n",
    "import torch.nn.functional as F\n",
    "\n",
    "with torch.no_grad():\n",
    "    output = model(input_ids=input_ids)\n",
    "    next_token_logits = output.logits[:, -1, :]\n",
    "    probs = F.softmax(next_token_logits, dim=-1).detach().cpu().numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/pdf": "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\n",
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"708.484336pt\" height=\"235.723625pt\" viewBox=\"0 0 708.484336 235.723625\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n <metadata>\n  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2022-01-05T10:39:16.995683</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.5.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 235.723625 \nL 708.484336 235.723625 \nL 708.484336 0 \nL 0 0 \nL 0 235.723625 \nz\n\" style=\"fill: none\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.18 195.2505 \nL 337.843262 195.2505 \nL 337.843262 23.7705 \nL 44.18 23.7705 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 57.52833 46093.750941 \nL 60.224962 46093.750941 \nL 60.224962 105.173893 \nL 57.52833 105.173893 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 60.224962 46093.750941 \nL 62.921595 46093.750941 \nL 62.921595 92.513204 \nL 60.224962 92.513204 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 62.921595 46093.750941 \nL 65.618227 46093.750941 \nL 65.618227 88.235557 \nL 62.921595 88.235557 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 65.618227 46093.750941 \nL 68.314859 46093.750941 \nL 68.314859 81.042255 \nL 65.618227 81.042255 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_7\">\n    <path d=\"M 68.314859 46093.750941 \nL 71.011492 46093.750941 \nL 71.011492 75.620753 \nL 68.314859 75.620753 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_8\">\n    <path d=\"M 71.011492 46093.750941 \nL 73.708124 46093.750941 \nL 73.708124 68.612282 \nL 71.011492 68.612282 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_9\">\n    <path d=\"M 73.708124 46093.750941 \nL 76.404756 46093.750941 \nL 76.404756 60.804531 \nL 73.708124 60.804531 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_10\">\n    <path d=\"M 76.404756 46093.750941 \nL 79.101389 46093.750941 \nL 79.101389 57.990954 \nL 76.404756 57.990954 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_11\">\n    <path d=\"M 79.101389 46093.750941 \nL 81.798021 46093.750941 \nL 81.798021 52.93033 \nL 79.101389 52.93033 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_12\">\n    <path d=\"M 81.798021 46093.750941 \nL 84.494653 46093.750941 \nL 84.494653 47.335753 \nL 81.798021 47.335753 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_13\">\n    <path d=\"M 84.494653 46093.750941 \nL 87.191286 46093.750941 \nL 87.191286 43.827906 \nL 84.494653 43.827906 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_14\">\n    <path d=\"M 87.191286 46093.750941 \nL 89.887918 46093.750941 \nL 89.887918 40.441581 \nL 87.191286 40.441581 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_15\">\n    <path d=\"M 89.887918 46093.750941 \nL 92.58455 46093.750941 \nL 92.58455 38.018455 \nL 89.887918 38.018455 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_16\">\n    <path d=\"M 92.58455 46093.750941 \nL 95.281183 46093.750941 \nL 95.281183 35.04034 \nL 92.58455 35.04034 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_17\">\n    <path d=\"M 95.281183 46093.750941 \nL 97.977815 46093.750941 \nL 97.977815 33.419607 \nL 95.281183 33.419607 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_18\">\n    <path d=\"M 97.977815 46093.750941 \nL 100.674448 46093.750941 \nL 100.674448 32.191812 \nL 97.977815 32.191812 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_19\">\n    <path d=\"M 100.674448 46093.750941 \nL 103.37108 46093.750941 \nL 103.37108 31.565045 \nL 100.674448 31.565045 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_20\">\n    <path d=\"M 103.37108 46093.750941 \nL 106.067712 46093.750941 \nL 106.067712 32.804785 \nL 103.37108 32.804785 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_21\">\n    <path d=\"M 106.067712 46093.750941 \nL 108.764345 46093.750941 \nL 108.764345 32.05173 \nL 106.067712 32.05173 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_22\">\n    <path d=\"M 108.764345 46093.750941 \nL 111.460977 46093.750941 \nL 111.460977 32.677284 \nL 108.764345 32.677284 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_23\">\n    <path d=\"M 111.460977 46093.750941 \nL 114.157609 46093.750941 \nL 114.157609 34.08125 \nL 111.460977 34.08125 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_24\">\n    <path d=\"M 114.157609 46093.750941 \nL 116.854242 46093.750941 \nL 116.854242 34.926197 \nL 114.157609 34.926197 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_25\">\n    <path d=\"M 116.854242 46093.750941 \nL 119.550874 46093.750941 \nL 119.550874 36.638524 \nL 116.854242 36.638524 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_26\">\n    <path d=\"M 119.550874 46093.750941 \nL 122.247506 46093.750941 \nL 122.247506 39.181482 \nL 119.550874 39.181482 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_27\">\n    <path d=\"M 122.247506 46093.750941 \nL 124.944139 46093.750941 \nL 124.944139 42.704 \nL 122.247506 42.704 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_28\">\n    <path d=\"M 124.944139 46093.750941 \nL 127.640771 46093.750941 \nL 127.640771 44.156708 \nL 124.944139 44.156708 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_29\">\n    <path d=\"M 127.640771 46093.750941 \nL 130.337403 46093.750941 \nL 130.337403 46.235509 \nL 127.640771 46.235509 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_30\">\n    <path d=\"M 130.337403 46093.750941 \nL 133.034036 46093.750941 \nL 133.034036 48.202709 \nL 130.337403 48.202709 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_31\">\n    <path d=\"M 133.034036 46093.750941 \nL 135.730668 46093.750941 \nL 135.730668 51.595431 \nL 133.034036 51.595431 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_32\">\n    <path d=\"M 135.730668 46093.750941 \nL 138.4273 46093.750941 \nL 138.4273 52.836949 \nL 135.730668 52.836949 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_33\">\n    <path d=\"M 138.4273 46093.750941 \nL 141.123933 46093.750941 \nL 141.123933 55.821146 \nL 138.4273 55.821146 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_34\">\n    <path d=\"M 141.123933 46093.750941 \nL 143.820565 46093.750941 \nL 143.820565 58.264274 \nL 141.123933 58.264274 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_35\">\n    <path d=\"M 143.820565 46093.750941 \nL 146.517197 46093.750941 \nL 146.517197 61.014027 \nL 143.820565 61.014027 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_36\">\n    <path d=\"M 146.517197 46093.750941 \nL 149.21383 46093.750941 \nL 149.21383 63.676223 \nL 146.517197 63.676223 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_37\">\n    <path d=\"M 149.21383 46093.750941 \nL 151.910462 46093.750941 \nL 151.910462 65.480365 \nL 149.21383 65.480365 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_38\">\n    <path d=\"M 151.910462 46093.750941 \nL 154.607094 46093.750941 \nL 154.607094 67.271066 \nL 151.910462 67.271066 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_39\">\n    <path d=\"M 154.607094 46093.750941 \nL 157.303727 46093.750941 \nL 157.303727 68.87087 \nL 154.607094 68.87087 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_40\">\n    <path d=\"M 157.303727 46093.750941 \nL 160.000359 46093.750941 \nL 160.000359 71.719846 \nL 157.303727 71.719846 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_41\">\n    <path d=\"M 160.000359 46093.750941 \nL 162.696991 46093.750941 \nL 162.696991 75.187327 \nL 160.000359 75.187327 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_42\">\n    <path d=\"M 162.696991 46093.750941 \nL 165.393624 46093.750941 \nL 165.393624 75.841052 \nL 162.696991 75.841052 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_43\">\n    <path d=\"M 165.393624 46093.750941 \nL 168.090256 46093.750941 \nL 168.090256 76.670304 \nL 165.393624 76.670304 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_44\">\n    <path d=\"M 168.090256 46093.750941 \nL 170.786888 46093.750941 \nL 170.786888 78.272519 \nL 168.090256 78.272519 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_45\">\n    <path d=\"M 170.786888 46093.750941 \nL 173.483521 46093.750941 \nL 173.483521 80.756759 \nL 170.786888 80.756759 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_46\">\n    <path d=\"M 173.483521 46093.750941 \nL 176.180153 46093.750941 \nL 176.180153 82.32895 \nL 173.483521 82.32895 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_47\">\n    <path d=\"M 176.180153 46093.750941 \nL 178.876785 46093.750941 \nL 178.876785 80.756759 \nL 176.180153 80.756759 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_48\">\n    <path d=\"M 178.876785 46093.750941 \nL 181.573418 46093.750941 \nL 181.573418 84.372788 \nL 178.876785 84.372788 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_49\">\n    <path d=\"M 181.573418 46093.750941 \nL 184.27005 46093.750941 \nL 184.27005 82.534487 \nL 181.573418 82.534487 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_50\">\n    <path d=\"M 184.27005 46093.750941 \nL 186.966682 46093.750941 \nL 186.966682 82.431453 \nL 184.27005 82.431453 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_51\">\n    <path d=\"M 186.966682 46093.750941 \nL 189.663315 46093.750941 \nL 189.663315 84.71555 \nL 186.966682 84.71555 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_52\">\n    <path d=\"M 189.663315 46093.750941 \nL 192.359947 46093.750941 \nL 192.359947 83.486559 \nL 189.663315 83.486559 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_53\">\n    <path d=\"M 192.359947 46093.750941 \nL 195.056579 46093.750941 \nL 195.056579 83.486559 \nL 192.359947 83.486559 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_54\">\n    <path d=\"M 195.056579 46093.750941 \nL 197.753212 46093.750941 \nL 197.753212 84.14751 \nL 195.056579 84.14751 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_55\">\n    <path d=\"M 197.753212 46093.750941 \nL 200.449844 46093.750941 \nL 200.449844 86.025307 \nL 197.753212 86.025307 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_56\">\n    <path d=\"M 200.449844 46093.750941 \nL 203.146476 46093.750941 \nL 203.146476 82.32895 \nL 200.449844 82.32895 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_57\">\n    <path d=\"M 203.146476 46093.750941 \nL 205.843109 46093.750941 \nL 205.843109 85.539018 \nL 203.146476 85.539018 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_58\">\n    <path d=\"M 205.843109 46093.750941 \nL 208.539741 46093.750941 \nL 208.539741 82.024565 \nL 205.843109 82.024565 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_59\">\n    <path d=\"M 208.539741 46093.750941 \nL 211.236373 46093.750941 \nL 211.236373 83.164124 \nL 208.539741 83.164124 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_60\">\n    <path d=\"M 211.236373 46093.750941 \nL 213.933006 46093.750941 \nL 213.933006 85.539018 \nL 211.236373 85.539018 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_61\">\n    <path d=\"M 213.933006 46093.750941 \nL 216.629638 46093.750941 \nL 216.629638 83.92475 \nL 213.933006 83.92475 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_62\">\n    <path d=\"M 216.629638 46093.750941 \nL 219.32627 46093.750941 \nL 219.32627 87.295599 \nL 216.629638 87.295599 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_63\">\n    <path d=\"M 219.32627 46093.750941 \nL 222.022903 46093.750941 \nL 222.022903 86.025307 \nL 219.32627 86.025307 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_64\">\n    <path d=\"M 222.022903 46093.750941 \nL 224.719535 46093.750941 \nL 224.719535 89.222034 \nL 222.022903 89.222034 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_65\">\n    <path d=\"M 224.719535 46093.750941 \nL 227.416167 46093.750941 \nL 227.416167 89.660224 \nL 224.719535 89.660224 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_66\">\n    <path d=\"M 227.416167 46093.750941 \nL 230.1128 46093.750941 \nL 230.1128 89.513088 \nL 227.416167 89.513088 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_67\">\n    <path d=\"M 230.1128 46093.750941 \nL 232.809432 46093.750941 \nL 232.809432 93.031074 \nL 230.1128 93.031074 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_68\">\n    <path d=\"M 232.809432 46093.750941 \nL 235.506064 46093.750941 \nL 235.506064 93.031074 \nL 232.809432 93.031074 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_69\">\n    <path d=\"M 235.506064 46093.750941 \nL 238.202697 46093.750941 \nL 238.202697 101.646452 \nL 235.506064 101.646452 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_70\">\n    <path d=\"M 238.202697 46093.750941 \nL 240.899329 46093.750941 \nL 240.899329 99.119422 \nL 238.202697 99.119422 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_71\">\n    <path d=\"M 240.899329 46093.750941 \nL 243.595961 46093.750941 \nL 243.595961 107.562352 \nL 240.899329 107.562352 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_72\">\n    <path d=\"M 243.595961 46093.750941 \nL 246.292594 46093.750941 \nL 246.292594 106.1627 \nL 243.595961 106.1627 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_73\">\n    <path d=\"M 246.292594 46093.750941 \nL 248.989226 46093.750941 \nL 248.989226 108.300838 \nL 246.292594 108.300838 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_74\">\n    <path d=\"M 248.989226 46093.750941 \nL 251.685858 46093.750941 \nL 251.685858 109.462536 \nL 248.989226 109.462536 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_75\">\n    <path d=\"M 251.685858 46093.750941 \nL 254.382491 46093.750941 \nL 254.382491 113.419023 \nL 251.685858 113.419023 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_76\">\n    <path d=\"M 254.382491 46093.750941 \nL 257.079123 46093.750941 \nL 257.079123 120.322681 \nL 254.382491 120.322681 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_77\">\n    <path d=\"M 257.079123 46093.750941 \nL 259.775756 46093.750941 \nL 259.775756 122.499771 \nL 257.079123 122.499771 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_78\">\n    <path d=\"M 259.775756 46093.750941 \nL 262.472388 46093.750941 \nL 262.472388 117.746606 \nL 259.775756 117.746606 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_79\">\n    <path d=\"M 262.472388 46093.750941 \nL 265.16902 46093.750941 \nL 265.16902 139.649475 \nL 262.472388 139.649475 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_80\">\n    <path d=\"M 265.16902 46093.750941 \nL 267.865653 46093.750941 \nL 267.865653 136.318942 \nL 265.16902 136.318942 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_81\">\n    <path d=\"M 267.865653 46093.750941 \nL 270.562285 46093.750941 \nL 270.562285 141.54966 \nL 267.865653 141.54966 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_82\">\n    <path d=\"M 270.562285 46093.750941 \nL 273.258917 46093.750941 \nL 273.258917 133.465962 \nL 270.562285 133.465962 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_83\">\n    <path d=\"M 273.258917 46093.750941 \nL 275.95555 46093.750941 \nL 275.95555 141.54966 \nL 273.258917 141.54966 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_84\">\n    <path d=\"M 275.95555 46093.750941 \nL 278.652182 46093.750941 \nL 278.652182 139.649475 \nL 275.95555 139.649475 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_85\">\n    <path d=\"M 278.652182 46093.750941 \nL 281.348814 46093.750941 \nL 281.348814 148.660635 \nL 278.652182 148.660635 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_86\">\n    <path d=\"M 281.348814 46093.750941 \nL 284.045447 46093.750941 \nL 284.045447 143.650216 \nL 281.348814 143.650216 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_87\">\n    <path d=\"M 284.045447 46093.750941 \nL 286.742079 46093.750941 \nL 286.742079 155.368831 \nL 284.045447 155.368831 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_88\">\n    <path d=\"M 286.742079 46093.750941 \nL 289.438711 46093.750941 \nL 289.438711 159.817611 \nL 286.742079 159.817611 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_89\">\n    <path d=\"M 289.438711 46093.750941 \nL 292.135344 46093.750941 \nL 292.135344 165.553085 \nL 289.438711 165.553085 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_90\">\n    <path d=\"M 292.135344 46093.750941 \nL 294.831976 46093.750941 \nL 294.831976 165.553085 \nL 292.135344 165.553085 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_91\">\n    <path d=\"M 294.831976 46093.750941 \nL 297.528608 46093.750941 \nL 297.528608 187.455955 \nL 294.831976 187.455955 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_92\">\n    <path d=\"M 297.528608 46093.750941 \nL 300.225241 46093.750941 \nL 300.225241 187.455955 \nL 297.528608 187.455955 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_93\">\n    <path d=\"M 300.225241 46093.750941 \nL 302.921873 46093.750941 \nL 302.921873 173.636783 \nL 300.225241 173.636783 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_94\">\n    <path d=\"M 302.921873 46093.750941 \nL 305.618505 46093.750941 \nL 305.618505 173.636783 \nL 302.921873 173.636783 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_95\">\n    <path d=\"M 305.618505 46093.750941 \nL 308.315138 46093.750941 \nL 308.315138 187.455955 \nL 305.618505 187.455955 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_96\">\n    <path d=\"M 308.315138 46093.750941 \nL 311.01177 46093.750941 \nL 311.01177 46093.750941 \nL 308.315138 46093.750941 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_97\">\n    <path d=\"M 311.01177 46093.750941 \nL 313.708402 46093.750941 \nL 313.708402 187.455955 \nL 311.01177 187.455955 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_98\">\n    <path d=\"M 313.708402 46093.750941 \nL 316.405035 46093.750941 \nL 316.405035 46093.750941 \nL 313.708402 46093.750941 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_99\">\n    <path d=\"M 316.405035 46093.750941 \nL 319.101667 46093.750941 \nL 319.101667 46093.750941 \nL 316.405035 46093.750941 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_100\">\n    <path d=\"M 319.101667 46093.750941 \nL 321.798299 46093.750941 \nL 321.798299 187.455955 \nL 319.101667 187.455955 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"patch_101\">\n    <path d=\"M 321.798299 46093.750941 \nL 324.494932 46093.750941 \nL 324.494932 46093.750941 \nL 321.798299 46093.750941 \nz\n\" clip-path=\"url(#p90022e26d6)\" style=\"fill: #0071bc; stroke: #0071bc; stroke-linejoin: miter\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path id=\"m4ba84d7c4b\" d=\"M 0 0 \nL 0 3.5 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"87.191286\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- $\\mathdefault{10^{-9}}$ -->\n      <g transform=\"translate(78.131286 211.05925)scale(0.12 -0.12)\">\n       <defs>\n        <path id=\"GuardianSansCond-Regular-31\" d=\"M 832 0 \nL 1363 0 \nL 1363 4474 \nL 1171 4474 \nL 141 4083 \nL 141 3776 \nL 832 3846 \nL 832 0 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"GuardianSansCond-Regular-30\" d=\"M 1722 -70 \nC 2656 -70 3155 646 3155 2061 \nL 3155 2406 \nC 3155 3891 2598 4499 1715 4499 \nC 819 4499 269 3834 269 2368 \nL 269 2042 \nC 269 499 845 -70 1722 -70 \nz\nM 1728 384 \nC 1069 384 845 979 845 2016 \nL 845 2490 \nC 845 3494 1088 4051 1709 4051 \nC 2336 4051 2592 3514 2592 2458 \nL 2592 1978 \nC 2592 934 2374 384 1728 384 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"GuardianSansCond-Regular-2212\" d=\"M 262 2010 \nL 2554 2010 \nL 2554 2477 \nL 262 2477 \nL 262 2010 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"GuardianSansCond-Regular-39\" d=\"M 1171 -70 \nC 2176 -70 2854 448 2854 2221 \nL 2854 2586 \nC 2854 3795 2432 4499 1523 4499 \nC 691 4499 243 3917 243 3021 \nC 243 2202 653 1683 1389 1683 \nC 1766 1683 2074 1818 2285 1984 \nC 2266 608 1798 397 1107 397 \nC 851 397 563 467 429 518 \nL 429 96 \nC 563 0 858 -70 1171 -70 \nz\nM 1542 2150 \nC 1056 2150 806 2445 806 3072 \nC 806 3712 1043 4045 1523 4045 \nC 2048 4045 2285 3558 2285 2592 \nL 2285 2374 \nC 2138 2272 1882 2150 1542 2150 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(0 0.884375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" transform=\"translate(28.799988 0.884375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2212\" transform=\"translate(83.197668 36.792188)scale(0.7)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-39\" transform=\"translate(113.927664 36.792188)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"146.517197\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- $\\mathdefault{10^{-7}}$ -->\n      <g transform=\"translate(137.877197 211.05925)scale(0.12 -0.12)\">\n       <defs>\n        <path id=\"GuardianSansCond-Regular-37\" d=\"M 461 0 \nL 1018 0 \nL 2387 3994 \nL 2387 4435 \nL 109 4435 \nL 109 3974 \nL 1850 3974 \nL 1850 3949 \nL 461 0 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(0 0.584375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" transform=\"translate(28.799988 0.584375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2212\" transform=\"translate(83.197668 36.492187)scale(0.7)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-37\" transform=\"translate(113.927664 36.492187)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"205.843109\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- $\\mathdefault{10^{-5}}$ -->\n      <g transform=\"translate(197.083109 211.05925)scale(0.12 -0.12)\">\n       <defs>\n        <path id=\"GuardianSansCond-Regular-35\" d=\"M 1094 -64 \nC 1971 -64 2445 512 2445 1363 \nC 2445 2298 1997 2707 1165 2707 \nC 1011 2707 890 2694 794 2675 \nL 877 3974 \nL 2342 3974 \nL 2342 4435 \nL 429 4435 \nL 294 2170 \nC 467 2208 710 2246 966 2246 \nC 1587 2246 1875 1990 1875 1363 \nC 1875 717 1587 397 954 397 \nC 627 397 365 474 154 582 \nL 154 147 \nC 352 26 672 -64 1094 -64 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(0 0.584375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" transform=\"translate(28.799988 0.584375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2212\" transform=\"translate(83.197668 36.492187)scale(0.7)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-35\" transform=\"translate(113.927664 36.492187)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"265.16902\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- $\\mathdefault{10^{-3}}$ -->\n      <g transform=\"translate(256.34902 211.05925)scale(0.12 -0.12)\">\n       <defs>\n        <path id=\"GuardianSansCond-Regular-33\" d=\"M 1094 -64 \nC 1920 -64 2432 416 2432 1248 \nC 2432 1939 2112 2253 1606 2362 \nL 1606 2381 \nC 2042 2515 2310 2803 2310 3405 \nC 2310 4096 1882 4499 1158 4499 \nC 787 4499 486 4429 275 4320 \nL 275 3891 \nC 461 3968 678 4038 998 4038 \nC 1478 4038 1754 3866 1754 3302 \nC 1754 2797 1478 2547 1018 2547 \nL 717 2547 \nL 717 2086 \nL 1056 2086 \nC 1600 2086 1869 1837 1869 1267 \nC 1869 646 1517 403 947 403 \nC 646 403 358 493 147 608 \nL 147 166 \nC 358 32 640 -64 1094 -64 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(0 0.884375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" transform=\"translate(28.799988 0.884375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2212\" transform=\"translate(83.197668 36.792188)scale(0.7)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-33\" transform=\"translate(113.927664 36.792188)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"324.494932\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- $\\mathdefault{10^{-1}}$ -->\n      <g transform=\"translate(316.274932 211.05925)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(0 0.157813)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" transform=\"translate(28.799988 0.157813)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2212\" transform=\"translate(83.197668 36.065625)scale(0.7)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(113.927664 36.065625)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_6\">\n     <!-- Probability -->\n     <g transform=\"translate(167.984756 226.15925)scale(0.12 -0.12)\">\n      <defs>\n       <path id=\"GuardianSansCond-Regular-50\" d=\"M 416 0 \nL 954 0 \nL 954 1766 \nL 1555 1766 \nC 2362 1766 2854 2246 2854 3117 \nC 2854 4026 2413 4435 1536 4435 \nL 416 4435 \nL 416 0 \nz\nM 954 2221 \nL 954 3974 \nL 1478 3974 \nC 2061 3974 2285 3750 2285 3098 \nC 2285 2496 2054 2221 1472 2221 \nL 954 2221 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-72\" d=\"M 346 0 \nL 870 0 \nL 870 2605 \nC 1062 2752 1306 2842 1587 2842 \nC 1638 2842 1728 2835 1786 2829 \nL 1786 3302 \nC 1747 3315 1677 3328 1606 3328 \nC 1306 3328 1030 3142 870 2938 \nL 845 2938 \nL 845 3283 \nL 346 3283 \nL 346 0 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-6f\" d=\"M 1459 -51 \nC 2272 -51 2733 570 2733 1542 \nL 2733 1747 \nC 2733 2771 2291 3334 1459 3334 \nC 659 3334 186 2714 186 1741 \nL 186 1530 \nC 186 531 614 -51 1459 -51 \nz\nM 1466 378 \nC 992 378 723 762 723 1472 \nL 723 1818 \nC 723 2451 947 2906 1453 2906 \nC 1920 2906 2195 2560 2195 1805 \nL 2195 1466 \nC 2195 826 1958 378 1466 378 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-62\" d=\"M 1382 -64 \nC 2317 -64 2784 531 2784 1619 \nL 2784 1843 \nC 2784 2995 2285 3334 1702 3334 \nC 1338 3334 1075 3219 896 3104 \nL 870 3104 \nL 870 4698 \nL 346 4698 \nL 346 102 \nC 557 19 1005 -64 1382 -64 \nz\nM 1408 378 \nC 1165 378 979 416 870 454 \nL 870 2733 \nC 992 2790 1216 2893 1491 2893 \nC 2003 2893 2246 2650 2246 1818 \nL 2246 1549 \nC 2246 627 1875 378 1408 378 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-61\" d=\"M 1082 -51 \nC 1395 -51 1638 77 1779 230 \nL 1811 230 \nL 1862 0 \nL 2291 0 \nL 2291 2413 \nC 2291 3027 1958 3334 1293 3334 \nC 915 3334 634 3258 410 3155 \nL 410 2771 \nC 576 2829 806 2886 1094 2886 \nC 1600 2886 1766 2739 1766 2278 \nL 1766 1958 \nL 1088 1856 \nC 480 1766 160 1466 160 883 \nC 160 250 525 -51 1082 -51 \nz\nM 1222 358 \nC 877 358 704 544 704 915 \nC 704 1274 877 1440 1242 1485 \nL 1766 1549 \nL 1766 525 \nC 1658 435 1459 358 1222 358 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-69\" d=\"M 358 0 \nL 883 0 \nL 883 3283 \nL 358 3283 \nL 358 0 \nz\nM 352 3910 \nL 883 3910 \nL 883 4474 \nL 352 4474 \nL 352 3910 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-6c\" d=\"M 358 0 \nL 877 0 \nL 877 4698 \nL 358 4698 \nL 358 0 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-74\" d=\"M 1222 -38 \nC 1466 -38 1619 26 1722 90 \nL 1722 442 \nC 1632 416 1517 390 1382 390 \nC 1107 390 1005 480 1005 781 \nL 1005 2848 \nL 1683 2848 \nL 1683 3283 \nL 1005 3283 \nL 1005 4051 \nL 486 4051 \nL 486 3283 \nL 96 3283 \nL 96 2848 \nL 486 2848 \nL 486 710 \nC 486 160 774 -38 1222 -38 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-79\" d=\"M 570 -1261 \nC 1082 -1261 1306 -960 1485 -365 \nL 2592 3283 \nL 2067 3283 \nL 1485 1197 \nC 1421 992 1376 787 1376 787 \nL 1363 787 \nC 1363 787 1331 928 1248 1203 \nL 621 3283 \nL 51 3283 \nL 1120 13 \nL 1018 -294 \nC 896 -698 749 -826 480 -826 \nC 384 -826 262 -813 186 -800 \nL 186 -1171 \nC 282 -1222 435 -1261 570 -1261 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#GuardianSansCond-Regular-50\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-72\" x=\"46.999985\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"75.799973\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"121.399963\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-61\" x=\"167.999954\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"208.899948\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"255.499939\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6c\" x=\"274.799927\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"294.099915\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"313.399902\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-79\" x=\"342.399887\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path id=\"m165d26b65f\" d=\"M 0 0 \nL -3.5 0 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m165d26b65f\" x=\"44.18\" y=\"187.455955\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- $\\mathdefault{10^{0}}$ -->\n      <g transform=\"translate(22.3 191.86033)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(0 0.884375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" transform=\"translate(28.799988 0.884375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" transform=\"translate(83.197668 36.792188)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use xlink:href=\"#m165d26b65f\" x=\"44.18\" y=\"141.54966\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- $\\mathdefault{10^{1}}$ -->\n      <g transform=\"translate(24.46 145.954035)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(0 0.157813)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" transform=\"translate(28.799988 0.157813)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(83.197668 36.065625)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use xlink:href=\"#m165d26b65f\" x=\"44.18\" y=\"95.643365\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- $\\mathdefault{10^{2}}$ -->\n      <g transform=\"translate(23.26 100.04774)scale(0.12 -0.12)\">\n       <defs>\n        <path id=\"GuardianSansCond-Regular-32\" d=\"M 173 0 \nL 2470 0 \nL 2470 461 \nL 800 461 \nL 800 480 \nL 1574 1421 \nC 2067 2035 2419 2528 2419 3264 \nC 2419 4026 2029 4499 1222 4499 \nC 806 4499 499 4410 269 4282 \nL 269 3853 \nC 467 3949 730 4032 1056 4032 \nC 1619 4032 1850 3750 1850 3213 \nC 1850 2630 1542 2189 1152 1670 \nL 173 397 \nL 173 0 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(0 0.884375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" transform=\"translate(28.799988 0.884375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-32\" transform=\"translate(83.197668 36.792188)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use xlink:href=\"#m165d26b65f\" x=\"44.18\" y=\"49.73707\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- $\\mathdefault{10^{3}}$ -->\n      <g transform=\"translate(23.26 54.141445)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-31\" transform=\"translate(0 0.884375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" transform=\"translate(28.799988 0.884375)\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-33\" transform=\"translate(83.197668 36.792188)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path id=\"mfd217444ea\" d=\"M 0 0 \nL -2 0 \n\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"194.56693\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_11\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"191.904734\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_12\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"189.556511\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_13\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"173.636783\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_14\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"165.553085\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_10\">\n     <g id=\"line2d_15\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"159.817611\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_11\">\n     <g id=\"line2d_16\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"155.368831\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_12\">\n     <g id=\"line2d_17\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"151.733914\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_13\">\n     <g id=\"line2d_18\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"148.660635\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_14\">\n     <g id=\"line2d_19\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"145.998439\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_15\">\n     <g id=\"line2d_20\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"143.650216\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_16\">\n     <g id=\"line2d_21\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"127.730488\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_17\">\n     <g id=\"line2d_22\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"119.64679\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_18\">\n     <g id=\"line2d_23\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"113.911316\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_19\">\n     <g id=\"line2d_24\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"109.462536\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_20\">\n     <g id=\"line2d_25\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"105.827619\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_21\">\n     <g id=\"line2d_26\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"102.75434\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_22\">\n     <g id=\"line2d_27\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"100.092144\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_23\">\n     <g id=\"line2d_28\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"97.743921\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_24\">\n     <g id=\"line2d_29\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"81.824193\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_25\">\n     <g id=\"line2d_30\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"73.740496\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_26\">\n     <g id=\"line2d_31\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"68.005021\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_27\">\n     <g id=\"line2d_32\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"63.556241\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_28\">\n     <g id=\"line2d_33\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"59.921324\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_29\">\n     <g id=\"line2d_34\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"56.848045\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_30\">\n     <g id=\"line2d_35\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"54.185849\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_31\">\n     <g id=\"line2d_36\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"51.837626\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_32\">\n     <g id=\"line2d_37\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"35.917898\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_33\">\n     <g id=\"line2d_38\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"44.18\" y=\"27.834201\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_11\">\n     <!-- Count -->\n     <g transform=\"translate(16.00875 122.326125)rotate(-90)scale(0.12 -0.12)\">\n      <defs>\n       <path id=\"GuardianSansCond-Regular-43\" d=\"M 1882 -64 \nC 2304 -64 2637 38 2874 186 \nL 2874 640 \nC 2643 518 2342 397 1946 397 \nC 1114 397 806 986 806 2042 \nL 806 2445 \nC 806 3648 1267 4038 1920 4038 \nC 2278 4038 2541 3955 2822 3840 \nL 2822 4288 \nC 2618 4410 2336 4499 1952 4499 \nC 1005 4499 237 3994 237 2387 \nL 237 2042 \nC 237 563 851 -64 1882 -64 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-75\" d=\"M 1158 -51 \nC 1523 -51 1824 109 2042 262 \nL 2067 262 \nL 2118 0 \nL 2566 0 \nL 2566 3283 \nL 2042 3283 \nL 2042 602 \nC 1888 512 1626 397 1350 397 \nC 947 397 858 557 858 838 \nL 858 3283 \nL 333 3283 \nL 333 826 \nC 333 301 576 -51 1158 -51 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-6e\" d=\"M 346 0 \nL 870 0 \nL 870 2688 \nC 1037 2778 1306 2886 1587 2886 \nC 1965 2886 2093 2765 2093 2458 \nL 2093 0 \nL 2611 0 \nL 2611 2528 \nC 2611 3085 2342 3334 1811 3334 \nC 1440 3334 1107 3194 870 3021 \nL 845 3021 \nL 845 3283 \nL 346 3283 \nL 346 0 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#GuardianSansCond-Regular-43\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"47.399994\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-75\" x=\"92.999985\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6e\" x=\"138.499969\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"184.59996\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"patch_102\">\n    <path d=\"M 44.18 195.2505 \nL 44.18 23.7705 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_103\">\n    <path d=\"M 337.843262 195.2505 \nL 337.843262 23.7705 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_104\">\n    <path d=\"M 44.18 195.2505 \nL 337.843262 195.2505 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_105\">\n    <path d=\"M 44.18 23.7705 \nL 337.843262 23.7705 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"text_12\">\n    <!-- Probability distribution -->\n    <g transform=\"translate(132.753506 17.7705)scale(0.144 -0.144)\">\n     <defs>\n      <path id=\"GuardianSansCond-Regular-20\" transform=\"scale(0.015625)\"/>\n      <path id=\"GuardianSansCond-Regular-64\" d=\"M 1357 -51 \nC 1690 -51 1965 77 2125 243 \nL 2150 243 \nL 2195 0 \nL 2637 0 \nL 2637 4698 \nL 2118 4698 \nL 2118 3174 \nC 1978 3264 1734 3334 1466 3334 \nC 634 3334 198 2739 198 1670 \nL 198 1523 \nC 198 339 723 -51 1357 -51 \nz\nM 1504 378 \nC 992 378 742 749 742 1542 \nL 742 1728 \nC 742 2541 979 2893 1536 2893 \nC 1779 2893 2003 2835 2118 2758 \nL 2118 595 \nC 1984 493 1773 378 1504 378 \nz\n\" transform=\"scale(0.015625)\"/>\n      <path id=\"GuardianSansCond-Regular-73\" d=\"M 992 -51 \nC 1658 -51 2054 307 2054 947 \nC 2054 1485 1818 1709 1306 1888 \nL 1050 1978 \nC 768 2074 659 2195 659 2451 \nC 659 2771 864 2893 1222 2893 \nC 1517 2893 1760 2810 1914 2739 \nL 1914 3168 \nC 1773 3251 1568 3334 1197 3334 \nC 531 3334 160 2982 160 2406 \nC 160 1901 422 1658 826 1517 \nL 1082 1427 \nC 1408 1312 1536 1184 1536 896 \nC 1536 582 1370 390 934 390 \nC 582 390 358 480 154 563 \nL 154 141 \nC 358 19 640 -51 992 -51 \nz\n\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#GuardianSansCond-Regular-50\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-72\" x=\"46.999985\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"75.799973\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"121.399963\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-61\" x=\"167.999954\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"208.899948\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"255.499939\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-6c\" x=\"274.799927\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"294.099915\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"313.399902\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-79\" x=\"342.399887\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-20\" x=\"383.799881\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-64\" x=\"399.599869\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"446.19986\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-73\" x=\"465.499847\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"499.999832\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-72\" x=\"528.999817\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"557.799805\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"577.099792\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-75\" x=\"623.699783\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"669.199768\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"698.199753\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"717.499741\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-6e\" x=\"763.099731\"/>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_2\">\n   <g id=\"patch_106\">\n    <path d=\"M 393.053262 195.2505 \nL 686.716523 195.2505 \nL 686.716523 23.7705 \nL 393.053262 23.7705 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"matplotlib.axis_3\">\n    <g id=\"xtick_6\">\n     <g id=\"line2d_39\">\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"393.053262\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0 -->\n      <g transform=\"translate(389.843262 211.05925)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_40\">\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"451.785914\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 2000 -->\n      <g transform=\"translate(439.605914 211.05925)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-32\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"42.499985\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"95.999969\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"149.499954\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_41\">\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"510.518566\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 4000 -->\n      <g transform=\"translate(498.044191 211.05925)scale(0.12 -0.12)\">\n       <defs>\n        <path id=\"GuardianSansCond-Regular-34\" d=\"M 1805 0 \nL 2330 0 \nL 2330 1107 \nL 2957 1107 \nL 2957 1562 \nL 2330 1562 \nL 2330 4435 \nL 1869 4435 \nL 70 1504 \nL 70 1107 \nL 1805 1107 \nL 1805 0 \nz\nM 608 1562 \nL 608 1581 \nL 1779 3475 \nL 1805 3475 \nL 1805 1562 \nL 608 1562 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-34\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"47.399994\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"100.899979\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"154.399963\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_42\">\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"569.251219\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_16\">\n      <!-- 6000 -->\n      <g transform=\"translate(556.686844 211.05925)scale(0.12 -0.12)\">\n       <defs>\n        <path id=\"GuardianSansCond-Regular-36\" d=\"M 1632 384 \nC 1082 384 845 915 845 1837 \nL 845 2054 \nC 992 2150 1254 2278 1594 2278 \nC 2086 2278 2323 1984 2323 1357 \nC 2323 742 2086 384 1632 384 \nz\nM 1632 -70 \nC 2438 -70 2886 544 2886 1408 \nC 2886 2234 2490 2746 1754 2746 \nC 1363 2746 1056 2611 845 2445 \nC 877 3853 1440 4038 2029 4038 \nC 2291 4038 2554 3974 2688 3930 \nL 2688 4352 \nC 2547 4442 2272 4499 1958 4499 \nC 1043 4499 275 3981 275 2208 \nL 275 1843 \nC 275 691 717 -70 1632 -70 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-36\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"48.899994\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"102.399979\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"155.899963\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_43\">\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"627.983871\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_17\">\n      <!-- 8000 -->\n      <g transform=\"translate(615.389496 211.05925)scale(0.12 -0.12)\">\n       <defs>\n        <path id=\"GuardianSansCond-Regular-38\" d=\"M 1581 -64 \nC 2445 -64 2931 467 2931 1139 \nC 2931 1760 2592 2074 2106 2330 \nC 2490 2541 2822 2899 2822 3424 \nC 2822 4077 2394 4499 1606 4499 \nC 819 4499 384 4013 384 3398 \nC 384 2848 678 2509 1069 2285 \nC 602 2054 230 1683 230 1082 \nC 230 384 710 -64 1581 -64 \nz\nM 1587 390 \nC 1082 390 768 678 768 1126 \nC 768 1581 1037 1894 1414 2080 \nC 2029 1792 2387 1574 2387 1082 \nC 2387 614 2054 390 1587 390 \nz\nM 1754 2522 \nC 1210 2778 928 3021 928 3430 \nC 928 3821 1171 4051 1606 4051 \nC 2067 4051 2285 3782 2285 3398 \nC 2285 3008 2099 2765 1754 2522 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-38\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"49.399994\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"102.899979\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"156.399963\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_44\">\n      <g>\n       <use xlink:href=\"#m4ba84d7c4b\" x=\"686.716523\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_18\">\n      <!-- 10000 -->\n      <g transform=\"translate(672.148711 211.05925)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-31\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"28.799988\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"82.299973\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"135.799957\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"189.299942\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_12\">\n     <g id=\"line2d_45\">\n      <defs>\n       <path id=\"m389ff6d3d8\" d=\"M 0 0 \nL 0 2 \n\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"407.736425\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_13\">\n     <g id=\"line2d_46\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"422.419588\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_14\">\n     <g id=\"line2d_47\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"437.102751\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_15\">\n     <g id=\"line2d_48\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"466.469077\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_16\">\n     <g id=\"line2d_49\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"481.15224\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_17\">\n     <g id=\"line2d_50\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"495.835403\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_18\">\n     <g id=\"line2d_51\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"525.201729\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_19\">\n     <g id=\"line2d_52\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"539.884893\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_20\">\n     <g id=\"line2d_53\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"554.568056\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_21\">\n     <g id=\"line2d_54\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"583.934382\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_22\">\n     <g id=\"line2d_55\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"598.617545\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_23\">\n     <g id=\"line2d_56\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"613.300708\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_24\">\n     <g id=\"line2d_57\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"642.667034\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_25\">\n     <g id=\"line2d_58\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"657.350197\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_26\">\n     <g id=\"line2d_59\">\n      <g>\n       <use xlink:href=\"#m389ff6d3d8\" x=\"672.03336\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_19\">\n     <!-- Token (descending probability) -->\n     <g transform=\"translate(474.098643 226.15925)scale(0.12 -0.12)\">\n      <defs>\n       <path id=\"GuardianSansCond-Regular-54\" d=\"M 1152 0 \nL 1690 0 \nL 1690 3974 \nL 2746 3974 \nL 2746 4435 \nL 90 4435 \nL 90 3974 \nL 1152 3974 \nL 1152 0 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-6b\" d=\"M 870 4698 \nL 346 4698 \nL 346 0 \nL 870 0 \nL 870 4698 \nz\nM 973 1696 \nL 1984 0 \nL 2592 0 \nL 1549 1741 \nL 2515 3283 \nL 1939 3283 \nL 973 1696 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-65\" d=\"M 1555 -51 \nC 1984 -51 2317 102 2470 243 \nL 2470 627 \nC 2240 499 1965 397 1613 397 \nC 1037 397 742 698 723 1466 \nL 2554 1466 \nL 2554 1798 \nC 2554 2893 2176 3334 1402 3334 \nC 659 3334 186 2810 186 1722 \nL 186 1549 \nC 186 499 634 -51 1555 -51 \nz\nM 1382 2906 \nC 1830 2906 2010 2611 2010 1894 \nL 723 1894 \nC 736 2630 992 2906 1382 2906 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-28\" d=\"M 1318 -768 \nL 1760 -768 \nC 1267 -166 826 877 826 1869 \nL 826 2086 \nC 826 3117 1267 4102 1760 4698 \nL 1318 4698 \nC 800 4160 275 3187 275 2029 \nL 275 1882 \nC 275 723 800 -237 1318 -768 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-63\" d=\"M 1498 -51 \nC 1869 -51 2125 51 2298 173 \nL 2298 595 \nC 2163 518 1907 390 1555 390 \nC 1005 390 723 704 723 1542 \nL 723 1798 \nC 723 2464 941 2893 1510 2893 \nC 1856 2893 2054 2803 2259 2714 \nL 2259 3149 \nC 2093 3258 1875 3334 1542 3334 \nC 768 3334 186 2886 186 1741 \nL 186 1536 \nC 186 416 685 -51 1498 -51 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-67\" d=\"M 1325 -1235 \nC 2240 -1235 2675 -787 2675 -179 \nC 2675 416 2336 704 1696 704 \nL 1069 704 \nC 858 704 774 806 774 966 \nC 774 1069 826 1178 890 1242 \nC 1018 1197 1171 1178 1331 1178 \nC 1939 1178 2413 1530 2413 2208 \nL 2413 2304 \nC 2413 2560 2336 2739 2234 2874 \nL 2682 2874 \nL 2682 3283 \nL 1747 3283 \nC 1626 3315 1485 3334 1325 3334 \nC 704 3334 250 2944 250 2278 \nL 250 2182 \nC 250 1786 429 1510 634 1376 \nC 422 1210 294 1024 294 787 \nC 294 544 442 403 627 333 \nL 627 307 \nC 320 192 64 -38 64 -422 \nC 64 -915 506 -1235 1325 -1235 \nz\nM 1312 -819 \nC 832 -819 595 -640 595 -326 \nC 595 -51 762 141 966 218 \nL 1632 218 \nC 2022 218 2150 45 2150 -237 \nC 2150 -602 1926 -819 1312 -819 \nz\nM 1331 1581 \nC 998 1581 762 1773 762 2189 \nL 762 2323 \nC 762 2726 973 2931 1331 2931 \nC 1670 2931 1901 2746 1901 2310 \nL 1901 2176 \nC 1901 1779 1683 1581 1331 1581 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-70\" d=\"M 346 -1222 \nL 870 -1222 \nL 870 128 \nC 1005 38 1242 -51 1542 -51 \nC 2374 -51 2784 525 2784 1600 \nL 2784 1818 \nC 2784 2912 2342 3334 1670 3334 \nC 1318 3334 1030 3187 870 3034 \nL 845 3034 \nL 845 3283 \nL 346 3283 \nL 346 -1222 \nz\nM 1466 378 \nC 1210 378 973 461 870 538 \nL 870 2688 \nC 992 2784 1229 2893 1523 2893 \nC 2035 2893 2246 2573 2246 1798 \nL 2246 1549 \nC 2246 742 2003 378 1466 378 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-29\" d=\"M 32 -768 \nL 480 -768 \nC 992 -237 1517 717 1517 1882 \nL 1517 2029 \nC 1517 3181 992 4160 480 4698 \nL 32 4698 \nC 531 4096 973 3053 973 2035 \nL 973 1818 \nC 973 813 531 -166 32 -768 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#GuardianSansCond-Regular-54\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"44.499985\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6b\" x=\"90.099976\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-65\" x=\"131.59996\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6e\" x=\"174.299957\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-20\" x=\"220.399948\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-28\" x=\"236.199936\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-64\" x=\"264.199921\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-65\" x=\"310.799911\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-73\" x=\"353.499908\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-63\" x=\"387.999893\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-65\" x=\"425.799881\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6e\" x=\"468.499878\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-64\" x=\"514.599869\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"561.19986\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6e\" x=\"580.499847\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-67\" x=\"626.599838\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-20\" x=\"669.299835\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-70\" x=\"685.099823\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-72\" x=\"731.699814\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"760.499802\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"806.099792\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-61\" x=\"852.699783\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"893.599777\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"940.199768\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6c\" x=\"959.499756\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"978.799744\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"998.099731\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-79\" x=\"1027.099716\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-29\" x=\"1068.49971\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_4\">\n    <g id=\"ytick_34\">\n     <g id=\"line2d_60\">\n      <g>\n       <use xlink:href=\"#m165d26b65f\" x=\"393.053262\" y=\"195.2505\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_20\">\n      <!-- 0.75 -->\n      <g transform=\"translate(367.322012 199.654875)scale(0.12 -0.12)\">\n       <defs>\n        <path id=\"GuardianSansCond-Regular-2e\" d=\"M 397 0 \nL 986 0 \nL 986 621 \nL 397 621 \nL 397 0 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2e\" x=\"53.499985\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-37\" x=\"75.099976\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-35\" x=\"113.999969\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_35\">\n     <g id=\"line2d_61\">\n      <g>\n       <use xlink:href=\"#m165d26b65f\" x=\"393.053262\" y=\"162.273577\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_21\">\n      <!-- 0.80 -->\n      <g transform=\"translate(364.693262 166.677952)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-30\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2e\" x=\"53.499985\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-38\" x=\"75.099976\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"124.499969\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_36\">\n     <g id=\"line2d_62\">\n      <g>\n       <use xlink:href=\"#m165d26b65f\" x=\"393.053262\" y=\"129.296654\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_22\">\n      <!-- 0.85 -->\n      <g transform=\"translate(366.062012 133.701029)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-30\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2e\" x=\"53.499985\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-38\" x=\"75.099976\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-35\" x=\"124.499969\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_37\">\n     <g id=\"line2d_63\">\n      <g>\n       <use xlink:href=\"#m165d26b65f\" x=\"393.053262\" y=\"96.319731\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_23\">\n      <!-- 0.90 -->\n      <g transform=\"translate(364.753262 100.724106)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-30\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2e\" x=\"53.499985\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-39\" x=\"75.099976\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"123.999969\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_38\">\n     <g id=\"line2d_64\">\n      <g>\n       <use xlink:href=\"#m165d26b65f\" x=\"393.053262\" y=\"63.342808\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_24\">\n      <!-- 0.95 -->\n      <g transform=\"translate(366.122012 67.747183)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-30\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2e\" x=\"53.499985\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-39\" x=\"75.099976\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-35\" x=\"123.999969\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_39\">\n     <g id=\"line2d_65\">\n      <g>\n       <use xlink:href=\"#m165d26b65f\" x=\"393.053262\" y=\"30.365885\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_25\">\n      <!-- 1.00 -->\n      <g transform=\"translate(367.166387 34.77026)scale(0.12 -0.12)\">\n       <use xlink:href=\"#GuardianSansCond-Regular-31\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-2e\" x=\"28.799988\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"50.399979\"/>\n       <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"103.899963\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_40\">\n     <g id=\"line2d_66\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"188.655115\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_41\">\n     <g id=\"line2d_67\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"182.059731\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_42\">\n     <g id=\"line2d_68\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"175.464346\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_43\">\n     <g id=\"line2d_69\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"168.868962\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_44\">\n     <g id=\"line2d_70\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"155.678192\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_45\">\n     <g id=\"line2d_71\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"149.082808\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_46\">\n     <g id=\"line2d_72\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"142.487423\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_47\">\n     <g id=\"line2d_73\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"135.892038\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_48\">\n     <g id=\"line2d_74\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"122.701269\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_49\">\n     <g id=\"line2d_75\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"116.105885\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_50\">\n     <g id=\"line2d_76\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"109.5105\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_51\">\n     <g id=\"line2d_77\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"102.915115\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_52\">\n     <g id=\"line2d_78\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"89.724346\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_53\">\n     <g id=\"line2d_79\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"83.128962\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_54\">\n     <g id=\"line2d_80\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"76.533577\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_55\">\n     <g id=\"line2d_81\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"69.938192\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_56\">\n     <g id=\"line2d_82\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"56.747423\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_57\">\n     <g id=\"line2d_83\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"50.152038\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_58\">\n     <g id=\"line2d_84\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"43.556654\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_59\">\n     <g id=\"line2d_85\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"36.961269\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_60\">\n     <g id=\"line2d_86\">\n      <g>\n       <use xlink:href=\"#mfd217444ea\" x=\"393.053262\" y=\"23.7705\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_26\">\n     <!-- Probability -->\n     <g transform=\"translate(358.328887 132.537375)rotate(-90)scale(0.12 -0.12)\">\n      <use xlink:href=\"#GuardianSansCond-Regular-50\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-72\" x=\"46.999985\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"75.799973\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"121.399963\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-61\" x=\"167.999954\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"208.899948\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"255.499939\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6c\" x=\"274.799927\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"294.099915\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"313.399902\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-79\" x=\"342.399887\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_87\">\n    <path d=\"M 394.302759 236.723625 \nL 394.90334 207.063151 \nL 395.578766 183.616127 \nL 396.254191 168.060191 \nL 397.135181 153.641852 \nL 398.074903 141.157603 \nL 399.132091 130.109562 \nL 400.306744 120.150215 \nL 401.686962 110.531739 \nL 403.184644 101.957142 \nL 404.594228 95.361567 \nL 405.974445 89.944513 \nL 407.589593 84.595665 \nL 409.322206 79.632227 \nL 410.937354 75.636168 \nL 412.846166 71.57611 \nL 414.989907 67.540739 \nL 416.869352 64.477268 \nL 419.36549 60.864772 \nL 421.714796 57.85508 \nL 424.181567 55.064156 \nL 426.677705 52.580923 \nL 429.11511 50.452635 \nL 431.816812 48.387402 \nL 434.988375 46.256166 \nL 438.101206 44.431284 \nL 441.5077 42.71333 \nL 445.442788 41.000958 \nL 449.084212 39.648404 \nL 453.283597 38.325806 \nL 458.129041 37.032653 \nL 463.356247 35.872372 \nL 468.935849 34.886714 \nL 475.425807 33.973034 \nL 482.473725 33.2258 \nL 490.608197 32.585847 \nL 500.299085 32.047947 \nL 512.779774 31.590675 \nL 529.518579 31.231014 \nL 553.217205 30.961337 \nL 594.212596 30.743079 \nL 655.852515 30.606589 \nL 686.74589 30.565234 \nL 686.74589 30.565234 \n\" clip-path=\"url(#p16b75ba673)\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"LineCollection_1\">\n    <path d=\"M 451.785914 236.723625 \nL 451.785914 -1 \n\" clip-path=\"url(#p16b75ba673)\" style=\"fill: none; stroke: #0071bc; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"LineCollection_2\">\n    <path d=\"M 393.053262 63.342808 \nL 686.716523 63.342808 \n\" clip-path=\"url(#p16b75ba673)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #f7931e; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"patch_107\">\n    <path d=\"M 393.053262 195.2505 \nL 393.053262 23.7705 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_108\">\n    <path d=\"M 686.716523 195.2505 \nL 686.716523 23.7705 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_109\">\n    <path d=\"M 393.053262 195.2505 \nL 686.716523 195.2505 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_110\">\n    <path d=\"M 393.053262 23.7705 \nL 686.716523 23.7705 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"text_27\">\n    <!-- Cumulative probability -->\n    <g transform=\"translate(482.271393 17.7705)scale(0.144 -0.144)\">\n     <defs>\n      <path id=\"GuardianSansCond-Regular-6d\" d=\"M 346 0 \nL 870 0 \nL 870 2688 \nC 1050 2790 1267 2886 1523 2886 \nC 1856 2886 1971 2758 1971 2464 \nL 1971 0 \nL 2490 0 \nL 2490 2688 \nC 2682 2797 2912 2886 3136 2886 \nC 3488 2886 3590 2746 3590 2464 \nL 3590 0 \nL 4115 0 \nL 4115 2528 \nC 4115 3104 3821 3334 3347 3334 \nC 2995 3334 2688 3187 2419 2995 \nL 2394 2995 \nC 2266 3226 2061 3334 1722 3334 \nC 1395 3334 1088 3181 870 3021 \nL 845 3021 \nL 845 3283 \nL 346 3283 \nL 346 0 \nz\n\" transform=\"scale(0.015625)\"/>\n      <path id=\"GuardianSansCond-Regular-76\" d=\"M 1075 0 \nL 1613 0 \nL 2605 3283 \nL 2093 3283 \nL 1504 1190 \nC 1421 870 1370 653 1370 653 \nL 1344 653 \nC 1344 653 1299 877 1216 1190 \nL 627 3283 \nL 70 3283 \nL 1075 0 \nz\n\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#GuardianSansCond-Regular-43\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-75\" x=\"47.399994\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-6d\" x=\"92.899979\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-75\" x=\"162.399963\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-6c\" x=\"207.899948\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-61\" x=\"227.199936\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"268.09993\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"297.099915\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-76\" x=\"316.399902\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-65\" x=\"358.299896\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-20\" x=\"400.999893\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-70\" x=\"416.799881\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-72\" x=\"463.399872\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"492.19986\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"537.79985\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-61\" x=\"584.399841\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-62\" x=\"625.299835\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"671.899826\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-6c\" x=\"691.199814\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-69\" x=\"710.499802\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"729.799789\"/>\n     <use xlink:href=\"#GuardianSansCond-Regular-79\" x=\"758.799774\"/>\n    </g>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_111\">\n     <path d=\"M 525.264023 189.2505 \nL 678.316523 189.2505 \nQ 680.716523 189.2505 680.716523 186.8505 \nL 680.716523 153.8505 \nQ 680.716523 151.4505 678.316523 151.4505 \nL 525.264023 151.4505 \nQ 522.864023 151.4505 522.864023 153.8505 \nL 522.864023 186.8505 \nQ 522.864023 189.2505 525.264023 189.2505 \nz\n\" style=\"fill: #ffffff; opacity: 0.8; stroke: #cccccc; stroke-linejoin: miter\"/>\n    </g>\n    <g id=\"line2d_88\">\n     <path d=\"M 527.664023 160.85925 \nL 551.664023 160.85925 \n\" style=\"fill: none; stroke: #0071bc; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_28\">\n     <!-- top-k threshold (k=2000) -->\n     <g transform=\"translate(561.264023 165.05925)scale(0.12 -0.12)\">\n      <defs>\n       <path id=\"GuardianSansCond-Regular-2d\" d=\"M 333 1536 \nL 1408 1536 \nL 1408 1990 \nL 333 1990 \nL 333 1536 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-68\" d=\"M 346 0 \nL 870 0 \nL 870 2688 \nC 1037 2778 1306 2886 1587 2886 \nC 1965 2886 2093 2765 2093 2458 \nL 2093 0 \nL 2611 0 \nL 2611 2528 \nC 2611 3085 2336 3334 1805 3334 \nC 1440 3334 1126 3200 896 3034 \nL 870 3034 \nL 870 4698 \nL 346 4698 \nL 346 0 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"GuardianSansCond-Regular-3d\" d=\"M 326 2253 \nL 2566 2253 \nL 2566 2694 \nL 326 2694 \nL 326 2253 \nz\nM 326 1216 \nL 2566 1216 \nL 2566 1664 \nL 326 1664 \nL 326 1216 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#GuardianSansCond-Regular-74\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"28.999985\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-70\" x=\"74.599976\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-2d\" x=\"121.199966\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6b\" x=\"148.399963\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-20\" x=\"189.899948\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"205.699936\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-68\" x=\"234.699921\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-72\" x=\"280.799911\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-65\" x=\"309.599899\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-73\" x=\"352.299896\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-68\" x=\"386.799881\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"432.899872\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6c\" x=\"478.499863\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-64\" x=\"497.79985\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-20\" x=\"544.399841\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-28\" x=\"560.199829\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6b\" x=\"588.199814\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-3d\" x=\"629.699799\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-32\" x=\"674.799789\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"717.299774\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"770.799759\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"824.299744\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-29\" x=\"877.799728\"/>\n     </g>\n    </g>\n    <g id=\"line2d_89\">\n     <path d=\"M 527.664023 177.95925 \nL 551.664023 177.95925 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #f7931e; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_29\">\n     <!-- nucleus threshold (p=0.95) -->\n     <g transform=\"translate(561.264023 182.15925)scale(0.12 -0.12)\">\n      <use xlink:href=\"#GuardianSansCond-Regular-6e\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-75\" x=\"46.099991\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-63\" x=\"91.599976\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6c\" x=\"129.399963\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-65\" x=\"148.699951\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-75\" x=\"191.399948\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-73\" x=\"236.899933\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-20\" x=\"271.399918\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-74\" x=\"287.199905\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-68\" x=\"316.19989\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-72\" x=\"362.299881\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-65\" x=\"391.099869\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-73\" x=\"433.799866\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-68\" x=\"468.29985\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6f\" x=\"514.399841\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-6c\" x=\"559.999832\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-64\" x=\"579.29982\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-20\" x=\"625.899811\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-28\" x=\"641.699799\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-70\" x=\"669.699783\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-3d\" x=\"716.299774\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-30\" x=\"761.399765\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-2e\" x=\"814.89975\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-39\" x=\"836.499741\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-35\" x=\"885.399734\"/>\n      <use xlink:href=\"#GuardianSansCond-Regular-29\" x=\"927.499725\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p90022e26d6\">\n   <rect x=\"44.18\" y=\"23.7705\" width=\"293.663262\" height=\"171.48\"/>\n  </clipPath>\n  <clipPath id=\"p16b75ba673\">\n   <rect x=\"393.053262\" y=\"23.7705\" width=\"293.663262\" height=\"171.48\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "text/plain": [
       "<Figure size 720x252 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# hide_input\n",
    "\n",
    "#id distribution\n",
    "#alt Probability distribution of next token prediction.\n",
    "#caption Probability distribution of next token prediction (left) and cumulative distribution of descending token probabilities\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(10, 3.5))\n",
    "\n",
    "axes[0].hist(probs[0], bins=np.logspace(-10, -1, 100), color=\"C0\", edgecolor=\"C0\")\n",
    "axes[0].set_xscale(\"log\")\n",
    "axes[0].set_yscale(\"log\")\n",
    "axes[0].set_title(\"Probability distribution\")\n",
    "axes[0].set_xlabel(\"Probability\")\n",
    "axes[0].set_ylabel(\"Count\")\n",
    "#axes[0].grid(which=\"major\")\n",
    "\n",
    "axes[1].plot(np.cumsum(np.sort(probs[0])[::-1]), color=\"black\")\n",
    "axes[1].set_xlim([0, 10000])\n",
    "axes[1].set_ylim([0.75, 1.01])\n",
    "axes[1].set_title(\"Cumulative probability\")\n",
    "axes[1].set_ylabel(\"Probability\")\n",
    "axes[1].set_xlabel(\"Token (descending probability)\")\n",
    "#axes[1].grid(which=\"major\")\n",
    "axes[1].minorticks_on()\n",
    "#axes[1].grid(which='minor', linewidth='0.5')\n",
    "top_k_label = 'top-k threshold (k=2000)'\n",
    "top_p_label = 'nucleus threshold (p=0.95)'\n",
    "axes[1].vlines(x=2000, ymin=0, ymax=2, color='C0', label=top_k_label)\n",
    "axes[1].hlines(y=0.95, xmin=0, xmax=10000, color='C1', label=top_p_label, linestyle='--')\n",
    "axes[1].legend(loc='lower right')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# hide\n",
    "torch.manual_seed(42);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In a shocking finding, scientist discovered a herd of unicorns living in a\n",
      "remote, previously unexplored valley, in the Andes Mountains. Even more\n",
      "surprising to the researchers was the fact that the unicorns spoke perfect\n",
      "English.\n",
      "\n",
      "\n",
      "The wild unicorns roam the Andes Mountains in the region of Cajamarca, on the\n",
      "border with Argentina (Picture: Alamy/Ecole Nationale Supérieure d'Histoire\n",
      "Naturelle)\n",
      "\n",
      "The researchers came across about 50 of the animals in the valley. They had\n",
      "lived in such a remote and isolated area at that location for nearly a thousand\n",
      "years that\n"
     ]
    }
   ],
   "source": [
    "output_topk = model.generate(input_ids, max_length=max_length, do_sample=True, \n",
    "                             top_k=50)\n",
    "print(tokenizer.decode(output_topk[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# hide\n",
    "torch.manual_seed(42);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In a shocking finding, scientist discovered a herd of unicorns living in a\n",
      "remote, previously unexplored valley, in the Andes Mountains. Even more\n",
      "surprising to the researchers was the fact that the unicorns spoke perfect\n",
      "English.\n",
      "\n",
      "\n",
      "The scientists studied the DNA of the animals and came to the conclusion that\n",
      "the herd are descendants of a prehistoric herd that lived in Argentina about\n",
      "50,000 years ago.\n",
      "\n",
      "\n",
      "According to the scientific analysis, the first humans who migrated to South\n",
      "America migrated into the Andes Mountains from South Africa and Australia, after\n",
      "the last ice age had ended.\n",
      "\n",
      "\n",
      "Since their migration, the animals have been adapting to\n"
     ]
    }
   ],
   "source": [
    "output_topp = model.generate(input_ids, max_length=max_length, do_sample=True, \n",
    "                             top_p=0.90)\n",
    "print(tokenizer.decode(output_topp[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Which Decoding Method Is Best?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}