{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "import itertools\n",
    "import seaborn as sns\n",
    "from multiprocessing import Pool, Queue\n",
    "import subprocess\n",
    "import re\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "sns.set_style(\"darkgrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# if true, will re-run the training of eval\n",
    "force = False\n",
    "CUDA_VISIBLE_DEVICES = [0, 1, 2, 3]\n",
    "N_GPU = len(CUDA_VISIBLE_DEVICES)\n",
    "path_to_model = \"~/../victor/checkpoints/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "minz_downstream_path = \"/home/minz/glockenspiel/s3prl/s3prl\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ctc_mert_music_speech_fsq.log\n",
      "ctc_mert_music_speech_fsq_100k.log\n",
      "ctc_mert_music_speech_fsq_100k_cluster.log\n",
      "ctc_mert_music_speech_fsq_240k.log\n",
      "ctc_mert_music_speech_fsq_240k_cluster.log\n",
      "ctc_mert_music_speech_fsq_cluster.log\n",
      "ctc_mert_music_speech_fsq_last.log\n",
      "ctc_mert_music_speech_fsq_last_cluster.log\n",
      "nsynth_i_mert_music_speech_fsq.log\n",
      "nsynth_i_mert_music_speech_fsq_100k.log\n",
      "nsynth_i_mert_music_speech_fsq_100k_cluster.log\n",
      "nsynth_i_mert_music_speech_fsq_240k.log\n",
      "nsynth_i_mert_music_speech_fsq_240k_cluster.log\n",
      "nsynth_i_mert_music_speech_fsq_cluster.log\n",
      "nsynth_i_mert_music_speech_fsq_last.log\n",
      "nsynth_i_mert_music_speech_fsq_last_cluster.log\n",
      "nsynth_p_mert_music_speech_fsq.log\n",
      "nsynth_p_mert_music_speech_fsq_100k.log\n",
      "nsynth_p_mert_music_speech_fsq_100k_cluster.log\n",
      "nsynth_p_mert_music_speech_fsq_240k.log\n",
      "nsynth_p_mert_music_speech_fsq_240k_cluster.log\n",
      "nsynth_p_mert_music_speech_fsq_cluster.log\n",
      "nsynth_p_mert_music_speech_fsq_last.log\n",
      "nsynth_p_mert_music_speech_fsq_last_cluster.log\n",
      "vocalset_s_mert_music_speech_fsq.log\n",
      "vocalset_s_mert_music_speech_fsq_100k.log\n",
      "vocalset_s_mert_music_speech_fsq_100k_cluster.log\n",
      "vocalset_s_mert_music_speech_fsq_240k.log\n",
      "vocalset_s_mert_music_speech_fsq_240k_cluster.log\n",
      "vocalset_s_mert_music_speech_fsq_cluster.log\n",
      "vocalset_s_mert_music_speech_fsq_last.log\n",
      "vocalset_s_mert_music_speech_fsq_last_cluster.log\n",
      "vocalset_t_mert_music_speech_fsq.log\n",
      "vocalset_t_mert_music_speech_fsq_100k.log\n",
      "vocalset_t_mert_music_speech_fsq_100k_cluster.log\n",
      "vocalset_t_mert_music_speech_fsq_240k.log\n",
      "vocalset_t_mert_music_speech_fsq_240k_cluster.log\n",
      "vocalset_t_mert_music_speech_fsq_cluster.log\n",
      "vocalset_t_mert_music_speech_fsq_last.log\n",
      "vocalset_t_mert_music_speech_fsq_last_cluster.log\n"
     ]
    }
   ],
   "source": [
    "import shutil\n",
    "log_dir = \"/home/minz/MERT/train_log/\"\n",
    "for f in os.listdir(log_dir):\n",
    "    if \"fsq\" in f:\n",
    "        print(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "checkpoints = [    \n",
    "    {\"model\": \"mert_test_8x_400k\", \"path\": \"\", \"name\": \"mert_test_8x_400k\"},\n",
    "    {\n",
    "        \"model\": \"musicfm_mertlong\",\n",
    "        \"path\": \"\",\n",
    "        \"name\": \"musicfm_mertlong\",\n",
    "    },\n",
    "    {\n",
    "        \"model\": \"mert_test_8x_400k_4196_encode\",\n",
    "        \"path\": \"\",\n",
    "        \"name\": \"mert_test_8x_400k_4196_encode\",\n",
    "    },\n",
    "    {\n",
    "        \"model\": \"musicfm_mertlong_k4096\",\n",
    "        \"path\": \"\",\n",
    "        \"name\": \"musicfm_mertlong_k4096\",\n",
    "    },\n",
    "    # {\n",
    "    #     \"model\": \"mert_test_8x_400k_encode\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_test_8x_400k_encode_tony\", # this is my new cluster\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_test_8x_400k_encode_norm2\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_test_8x_400k_encode_norm2\",\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_test_8x_400k_4196_encode_norm2\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_test_8x_400k_4196_encode_norm2\",\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_95M_encode\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_95M_encode\",\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_95M_encode_norm2\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_95M_encode_norm2\",\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_95M_4196_encode\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_95M_4196_encode\",\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_95M_4196_encode_norm2\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_95M_4196_encode_norm2\",\n",
    "    # },{\n",
    "    #     \"model\": \"mert_330M_encode\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_330M_encode\",\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_330M_encode_norm2\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_330M_encode_norm2\",\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_330M_4196_encode\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_330M_4196_encode\",\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_330M_4196_encode_norm2\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_330M_4196_encode_norm2\",\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_music_speech_fsq\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_music_speech_fsq\",\n",
    "    # },\n",
    "    # {\n",
    "    #     \"model\": \"mert_music_speech_fsq_cluster\",\n",
    "    #     \"path\": \"\",\n",
    "    #     \"name\": \"mert_music_speech_fsq_cluster\",\n",
    "    # },\n",
    "]\n",
    "tasks = [\n",
    "    {\n",
    "        \"task\": \"vocalset_s\",\n",
    "        \"config\": os.path.join(\n",
    "            minz_downstream_path, \"downstream/vocalset_s/config.yaml\"\n",
    "        ),\n",
    "        \"metric\": \"acc\",\n",
    "    },\n",
    "    {\n",
    "        \"task\": \"vocalset_t\",\n",
    "        \"config\": os.path.join(\n",
    "            minz_downstream_path, \"downstream/vocalset_t/config.yaml\"\n",
    "        ),\n",
    "        \"metric\": \"acc\",\n",
    "    },\n",
    "    {\n",
    "        \"task\": \"nsynth_p\",\n",
    "        \"config\": os.path.join(minz_downstream_path, \"downstream/nsynth_p/config.yaml\"),\n",
    "        \"metric\": \"acc\",\n",
    "    },\n",
    "    {\n",
    "        \"task\": \"nsynth_i\",\n",
    "        \"config\": os.path.join(minz_downstream_path, \"downstream/nsynth_i/config.yaml\"),\n",
    "        \"metric\": \"acc\",\n",
    "    },\n",
    "    {\n",
    "        \"task\": \"ctc\",\n",
    "        \"config\": os.path.join(minz_downstream_path, \"downstream/ctc/libriphone.yaml\"),\n",
    "        \"metric\": \"per\",\n",
    "    },\n",
    "]\n",
    "task_cp_outer_product = list(itertools.product(tasks, checkpoints))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "queue = Queue()\n",
    "# initialize the queue with the GPU ids\n",
    "for gpu_ids in CUDA_VISIBLE_DEVICES:\n",
    "    queue.put(gpu_ids)\n",
    "\n",
    "train_log_dir = \"/home/minz/MERT/train_log\"\n",
    "if not os.path.exists(train_log_dir):\n",
    "    os.makedirs(train_log_dir)\n",
    "\n",
    "\n",
    "def get_log_path(task, checkpoint):\n",
    "    return f\"{train_log_dir}/{task['task']}_{checkpoint['name']}.log\"\n",
    "\n",
    "\n",
    "def parse_log_file(path, task, checkpoint):\n",
    "    if not os.path.exists(path):\n",
    "        print(f\"{path} does not exist, skipping...\")\n",
    "        return None\n",
    "\n",
    "    # parse the log file\n",
    "    # search for \"Test accuracy\" and \"Test loss\"\n",
    "    try:\n",
    "        log = open(path, \"r\").read()\n",
    "        test_accuracy = float(\n",
    "            re.findall(rf\"(test|dev) {task['metric']}: (\\d+\\.\\d+)\", log)[-1][1]\n",
    "        )\n",
    "        test_loss = float(re.findall(r\"(test|dev) loss: (\\d+\\.\\d+)\", log)[-1][1])\n",
    "        # print(f\"{task['task']} {checkpoint['name']} {test_accuracy} {test_loss}\")\n",
    "        return {\n",
    "            \"task\": task[\"task\"],\n",
    "            \"checkpoint\": checkpoint[\"name\"],\n",
    "            \"test_metric\": test_accuracy,\n",
    "            \"test_loss\": test_loss,\n",
    "        }\n",
    "    except IndexError as e:\n",
    "        print(e, path)\n",
    "        return None\n",
    "    except Exception as e:\n",
    "        print(path)\n",
    "        raise e\n",
    "\n",
    "\n",
    "def run_eval(task, checkpoint):\n",
    "    log_path = get_log_path(task, checkpoint)\n",
    "    # print(log_path)\n",
    "    if os.path.exists(log_path) and not force:\n",
    "        if parse_log_file(log_path, task, checkpoint) is None:\n",
    "            print(f\"{log_path} exists but is incomplete, rerunning...\\n\")\n",
    "            # os.remove(log_path)\n",
    "        else:\n",
    "            print(f\"{log_path} already exists, skipping...\\n\")\n",
    "            return None\n",
    "\n",
    "    gpu_id = queue.get()\n",
    "\n",
    "    print(f\"Running {task['task']} on {checkpoint} using GPU {gpu_id}\\n\")\n",
    "\n",
    "    # run the evaluation\n",
    "    # python3 run_downstream.py -n d2v2_49 -m train -u wav2vec2 -d vocalset_s -c downstream/vocalset_s/config.yaml\n",
    "    cmd = f\"\"\"CUDA_VISIBLE_DEVICES={gpu_id} python3 /home/minz/glockenspiel/s3prl/s3prl/run_downstream.py -n grid -m train -u {checkpoint['model']} -d {task['task']} -c {task['config']}\"\"\"\n",
    "    if checkpoint[\"path\"]:\n",
    "        cmd += f\" -k {checkpoint['path']}\"\n",
    "    if checkpoint.get(\"layer\") is not None:\n",
    "        cmd += f\" -l {checkpoint['layer']}\"\n",
    "    print(cmd + \"\\n\")\n",
    "    with open(log_path, \"w\") as f:\n",
    "        subprocess.run(cmd, shell=True, stdout=f, stderr=f)\n",
    "\n",
    "    queue.put(gpu_id)\n",
    "    print(f\"Finished {task['task']} on {checkpoint} using GPU {gpu_id}\\n\")\n",
    "    return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "needed_task_cp_outer_product = []\n",
    "for task, checkpoint in task_cp_outer_product:\n",
    "    log_path = get_log_path(task, checkpoint)\n",
    "    # print(log_path)\n",
    "    if os.path.exists(log_path) and not force:\n",
    "        if parse_log_file(log_path, task, checkpoint) is None:\n",
    "            print(f\"{log_path} exists but is incomplete, rerunning...\\n\")\n",
    "            needed_task_cp_outer_product.append((task, checkpoint))\n",
    "            # os.remove(log_path)\n",
    "        else:\n",
    "            # print(f\"{log_path} already exists, skipping...\\n\")\n",
    "            pass\n",
    "    if not os.path.exists(log_path):\n",
    "        needed_task_cp_outer_product.append((task, checkpoint))\n",
    "print(len(needed_task_cp_outer_product))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "with Pool(N_GPU) as p:\n",
    "    p.starmap(run_eval, needed_task_cp_outer_product, chunksize=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "needed_task_cp_outer_product"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/minz/MERT/train_log/vocalset_s_mert_test_8x_400k.log\n",
      "/home/minz/MERT/train_log/vocalset_s_musicfm_mertlong.log\n",
      "/home/minz/MERT/train_log/vocalset_s_mert_test_8x_400k_4196_encode.log\n",
      "/home/minz/MERT/train_log/vocalset_s_musicfm_mertlong_k4096.log\n",
      "/home/minz/MERT/train_log/vocalset_t_mert_test_8x_400k.log\n",
      "/home/minz/MERT/train_log/vocalset_t_musicfm_mertlong.log\n",
      "/home/minz/MERT/train_log/vocalset_t_mert_test_8x_400k_4196_encode.log\n",
      "/home/minz/MERT/train_log/vocalset_t_musicfm_mertlong_k4096.log\n",
      "/home/minz/MERT/train_log/nsynth_p_mert_test_8x_400k.log\n",
      "/home/minz/MERT/train_log/nsynth_p_musicfm_mertlong.log\n",
      "/home/minz/MERT/train_log/nsynth_p_mert_test_8x_400k_4196_encode.log\n",
      "/home/minz/MERT/train_log/nsynth_p_musicfm_mertlong_k4096.log\n",
      "/home/minz/MERT/train_log/nsynth_i_mert_test_8x_400k.log\n",
      "/home/minz/MERT/train_log/nsynth_i_musicfm_mertlong.log\n",
      "/home/minz/MERT/train_log/nsynth_i_mert_test_8x_400k_4196_encode.log\n",
      "/home/minz/MERT/train_log/nsynth_i_musicfm_mertlong_k4096.log\n",
      "/home/minz/MERT/train_log/ctc_mert_test_8x_400k.log\n",
      "/home/minz/MERT/train_log/ctc_musicfm_mertlong.log\n",
      "/home/minz/MERT/train_log/ctc_mert_test_8x_400k_4196_encode.log\n",
      "/home/minz/MERT/train_log/ctc_musicfm_mertlong_k4096.log\n"
     ]
    }
   ],
   "source": [
    "results = []\n",
    "for task, checkpoint in task_cp_outer_product:\n",
    "    log_path = get_log_path(task, checkpoint)\n",
    "    if not os.path.exists(log_path):\n",
    "        print(f\"{log_path} does not exist, skipping...\")\n",
    "        continue\n",
    "    print(log_path)\n",
    "\n",
    "    result = parse_log_file(log_path, task, checkpoint)\n",
    "    if result is not None:\n",
    "        results.append(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "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>test_loss</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>checkpoint</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mert_test_8x_400k</th>\n",
       "      <td>1.149506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mert_test_8x_400k_4196_encode</th>\n",
       "      <td>2.068401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musicfm_mertlong</th>\n",
       "      <td>1.012064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musicfm_mertlong_k4096</th>\n",
       "      <td>1.892178</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               test_loss\n",
       "checkpoint                              \n",
       "mert_test_8x_400k               1.149506\n",
       "mert_test_8x_400k_4196_encode   2.068401\n",
       "musicfm_mertlong                1.012064\n",
       "musicfm_mertlong_k4096          1.892178"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(results)\n",
    "# groupby checkpoint\n",
    "df.groupby('checkpoint').agg({'test_loss': 'mean'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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10dHR+vvf/65mzZqpWrVqSkxM1L/+9S/l5OTY94mMjFRcXJzuuusuJScna/78+erRo4c2btyogICAfOcLDi7jzNvBbYKfGzwdcxxmwDyHp2OOeyan7xly1ssvv6wJEybo4YcflsViUdWqVdW1a1eHy+pat25t/+/w8HDdfffdatOmjT799FN169Yt398rJeWKbDaXxkcRslh+/4uFnxs8FXMcZsA8h6djjhc/N39m+eFUGQoMDJS3t7dSUlIcxlNSUhQSEpLna4KCgvTOO+/oxo0bunjxosqXL6/p06eratWqt/w+ZcuWVY0aNXTixAln4slmE5O0GOLnBk/HHIcZMM/h6ZjjnsmpBRR8fX1Vv359JSYm2sesVqsSExMVFRX1h6/18/NThQoVlJ2drS1btqhdu3a33PfatWtKSkpSaGioM/EAAAAAIN+cvkyub9++GjNmjBo0aKDIyEgtXbpUGRkZ6tq1qyRp9OjRqlChgkaOHClJ+vHHH3Xu3DlFRETo3Llzmjt3rqxWq5599ln7Md966y21adNGlSpV0vnz5zV37lx5eXnpkUcecdHbBAAAAABHTpehmJgYpaamas6cOUpOTlZERITi4+Ptl8mdOXNGXl7/PeF048YNzZo1S0lJSSpVqpRat26tqVOnqmzZsvZ9zp49qxEjRujixYsKCgpSkyZNtGrVKpbXBgAAAFBkLDab51z9eOECN7YVJxaLFBJShp8bPBZzHGbAPIenY44XPzd/Zvnh9ENXAQAAAMATUIYAAAAAmBJlCAAAAIApUYYAAAAAmBJlCAAAAIApUYYAAAAAmBJlCAAAAIApUYYAAAAAmBJlCAAAAIApUYYAAAAAmBJlCAAAAIApUYYAAAAAmBJlCAAAAIApUYYAAAAAmBJlCAAAAIApUYYAAAAAmBJlCAAAAIApUYYAAAAAmBJlCAAAAIAp+RgdAJ5jzZpVWrlyuVJTU1SrVh0NHz5K9eo1yHPf7OxsLV++RFu2JOjcuXOqWrW6Bg4cqnvvbWnfZ/nyJdq27d86fvyY/Pz81LBhpAYOHKpq1Wq46R0BAADAk3FmCC7x+edbNG/eTPXt+5wWL/6HateuqxEjhiotLTXP/RcufEfr13+sV155Rf/4xyp16fK4xo8fpSNHDtn32bv3e3Xt2k0LFizRzJnzlZ2dreHDhygjI8NdbwsAAAAejDIEl/jwwxXq1KmLOnbsrLvuqqlRo8bJ399fmzZtyHP/zz5LUO/efdW6dWtVrlxFjz32hFq0aKkPP1xh3+ftt+cqJqaTataspTp16mr8+Nd17txZHT580F1vCwAAAB6MMoRCy8rK0pEjh9S06T32MS8vLzVt2lwHDuy75Wt8fX0dxvz8/LVv3w+3/D7Xrl2VJJUtW7bwoQEAAGB6lCEU2qVLF5WTk6OgoCCH8aCgIKWkpOT5mubN79WHH36gY8eOyWq1avfub7Vt2xdKSbmQ5/5Wq1Vz5sxQw4Z3q2bN2i5/DwAAADAfFlCAIV544SVNnTpRDz/8sCwWiypVqqyYmM765JO8L6t7++23dPTor3rnnXg3JwUAAICnogyh0MqVu0Pe3t5KTXVcLCE1NVXBwcF5viYwMFBTpsxQmTK+Onr0pIKDQ/Xuu3NVqVLlXPu+/fZb+uabrzVv3kKVL1+hSN4DAAAAzIfL5FBoJUqUUN264dqzZ5d9zGq1as+e3apfP/IPX+vn56fQ0PLKycnRtm1fqFWr1vZtNptNb7/9lr766kvNnv1unkUJAAAAKCjODBURLy+LvLwsRsdwm6ef7qk333xN9erVV7169fXRRx/o+vUMde78qHx8vBQb+4pCQ8tr0KChkqT9+39ScvJ5NWsWpV9+Oab4+AWy2Wzq3buPfHx+7+hTp8Zpy5ZPNXXqTJUtG6BLl34/81S6dID8/f0Ne69GsFptslptRscAAADwKJShIuDlZVG5O0rJx9s8J966d++qzMx0LV68QMnJyYqIiNDixYtVu3Y1SVJKSrL8/X0VGFhakuTn56X4+Pf02mtJKlWqlFq3bq23356hChX+exncxx//U5I0aNBzDt8rLi5OXbt2ddM7uz1k51h16WI6hQgAAMCFLDabzWP+dXXhwhXdDu/Gx8dLgYGl9cKHe/XL+atGx0ExV7t8gGY/GaW0tGvKzrYaHcf01qxZpZUrlys1NUW1atXR8OGjVK9egzz3zcnJ1urVK7Rmzce6cCFZVatW18CBQ3XvvS3t+/zww/f64IPlOnz4oFJSLmjy5Om6//4H3PRugMKzWKSQkDK3ze9gwNWY48XPzZ9ZfnBmqAj9cv6qDpy+bHQMAC7y+edbNG/eTL300jjVq9dAq1at1IgRQ7Vy5RoFBgbl2n/hwnf0r39t1qhR41WtWg3t2vWtxo8fpffeW6y6dcMlSRkZGapdu446duysl18e5e63BACAqZnnOi4AKKQPP1yhTp26qGPHzrrrrpoaNWqc/P39tWlT3kvCb96coOeff14tW0arcuUqeuyxJ9SiRUt9+OEK+z4tWtyn/v0HqXXrNu56GwAA4P+jDAFAPmRlZenIkUNq2vQe+5iXl5eaNm2uAwf23fI1vr6+DmN+fv7at++HoowKAADyiTIEAPlw6dJF5eTkKCjI8XK4oKAgpaSk5Pmae+65V3//+9+VlHRCVqtVu3d/q23bvlBKygV3RAYAAH+CMgQAReSFF15S9erV9fTTT6hNmxZ6++2pionpLIuFv3oBALgdsIACAORDuXJ3yNvbW6mpqQ7jqampCg4OzvM1gYGBeuedd3Tq1AVdunRJISGhevfduTxAGACA2wQfTwJAPpQoUUJ164Zrz55d9jGr1ao9e3arfv3IP3ytn5+fQkPLKycnR9u2faFWrVoXdVwAAJAPnBkCUCBeXhZ5eVmMjuFWTz/dU2+++Zrq1auvevXq66OPPtD16xnq3PlR+fh4KTb2FYWGltegQUMlSfv3/6SMjMuqVKm6kpPPKz5+gWw2m3r37iMfn98/i0pPT9fJk0n273Hu3GkdPfqzypYtqzvvrGjI+zSC1WrjocIAALejDAFwmpeXReXuKCUfb3OdXO7evasyM9O1ePECJScnKyIiQosXL1bt2tUkSSkpyfL391VgYGlJkp+fl+LiZikpKUmlSpVS69at9fbbM1ShQgX7MY8c2a/evXvbv549+21J0mOPPaYpU6a48d0ZKzvHqksX0ylEAAC3sthsnvMs3dvlycA+Pl4KDCytjnO289BVFFr9SmX1ybBWSku7puxsq9FxJP13jr/w4V79cv6q0XFQzNUuH6DZT0bdVnMc+XfzSe+3y+9gwNWY48XPzZ9ZfnBmCECB/XL+KoUfAAAUW+a6xgUAAAAA/j/KEAAAAABTogwBAAAAMCXKEAAAAABTogwBAAAAMCXKEAAAAABTogwBAAAAMCXKEAAAAABTogwBAAAAMCXKEAAAAABTogwBAAAAMKUClaEVK1aobdu2atiwobp166Z9+/bdct+srCzNmzdP7du3V8OGDdW5c2d99dVXhTomAAAAABSW02UoISFBcXFxGjx4sNauXavw8HD169dPKSkpee4/a9YsffTRR3rllVeUkJCgJ598UkOGDNF//vOfAh8TAAAAAArL6TK0ZMkSde/eXY8//rhq166t2NhY+fv7a82aNXnuv379ej3//PNq3bq1qlatqqefflqtW7fW+++/X+BjAgAAAEBh+Tizc2Zmpg4cOKABAwbYx7y8vNSyZUvt3bs3z9dkZWXJ19fXYczPz0/ff/99gY95KxaLU7sDxQ5zHJ6OOV783PyZ8bODp2KOFz/O/KycKkNpaWnKyclRcHCww3hwcLCOHj2a52uio6P197//Xc2aNVO1atWUmJiof/3rX8rJySnwMW8lOLiMU/sDxUlgYGmjIwBFijlevPE7GJ6OOe6ZnCpDBfHyyy9rwoQJevjhh2WxWFS1alV17dq1SC6BS0m5IpvN5Yd1mre3F7/U4XJpadeUk2M1OoYk5jiKxu00x5F/Fsvv/0i8XX4HA67GHC9+bv7M8sOpMhQYGChvb+9cCxukpKQoJCQkz9cEBQXpnXfe0Y0bN3Tx4kWVL19e06dPV9WqVQt8zFux2cQkhUdjfsPTMceLL34Hw9Mxxz2TUwso+Pr6qn79+kpMTLSPWa1WJSYmKioq6g9f6+fnpwoVKig7O1tbtmxRu3btCn1MAAAAACgopy+T69u3r8aMGaMGDRooMjJSS5cuVUZGhrp27SpJGj16tCpUqKCRI0dKkn788UedO3dOEREROnfunObOnSur1apnn30238cEAAAAAFdzugzFxMQoNTVVc+bMUXJysiIiIhQfH2+/pO3MmTPy8vrvCacbN25o1qxZSkpKUqlSpdS6dWtNnTpVZcuWzfcxAQAAAMDVCrSAQs+ePdWzZ888ty1fvtzh6+bNmyshIaFQxwQAAAAAV3P6oasAAAAA4AkoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQKVIZWrFihtm3bqmHDhurWrZv27dv3h/v//e9/V4cOHRQZGanWrVtr8uTJunHjhn373LlzFRYW5vDnoYceKkg0AAAAAMgXH2dfkJCQoLi4OMXGxuruu+/W0qVL1a9fP23evFnBwcG59t+4caNmzJihyZMnKyoqSseOHdPYsWNlsVg0btw4+3516tTRkiVL7F97e3sX8C0BAAAAwJ9z+szQkiVL1L17dz3++OOqXbu2YmNj5e/vrzVr1uS5/969e9W4cWN16tRJVapUUXR0tB555JFcZ5O8vb0VGhpq/xMUFFSwdwQAAAAA+eDUmaHMzEwdOHBAAwYMsI95eXmpZcuW2rt3b56viYqK0oYNG7Rv3z5FRkYqKSlJ27Zt06OPPuqw3/HjxxUdHS0/Pz81atRII0eOVKVKlZx6MxaLU7sDxQ5zHJ6OOV783PyZ8bODp2KOFz/O/KycKkNpaWnKycnJdTlccHCwjh49mudrOnXqpLS0ND399NOy2WzKzs7Wk08+qeeff96+T2RkpOLi4nTXXXcpOTlZ8+fPV48ePbRx40YFBATkO19wcBln3g5QrAQGljY6AlCkmOPFG7+D4emY457J6XuGnLVz504tWLBAr732miIjI3XixAlNmjRJ8+fP1+DBgyVJrVu3tu8fHh6uu+++W23atNGnn36qbt265ft7paRckc3m8rfgNG9vL36pw+XS0q4pJ8dqdAxJzHEUjdtpjiP/LJbf/5F4u/wOBlyNOV783PyZ5YdTZSgwMFDe3t5KSUlxGE9JSVFISEier5k9e7Y6d+5sLzVhYWFKT0/Xq6++qoEDB8rLK/dtS2XLllWNGjV04sQJZ+LJZhOTFB6N+Q1PxxwvvvgdDE/HHPdMTi2g4Ovrq/r16ysxMdE+ZrValZiYqKioqDxfc/369VyF5+ZKcbZbzKhr164pKSlJoaGhzsQDAAAAgHxz+jK5vn37asyYMWrQoIEiIyO1dOlSZWRkqGvXrpKk0aNHq0KFCho5cqQkqU2bNlqyZInq1atnv0xu9uzZatOmjb0UvfXWW2rTpo0qVaqk8+fPa+7cufLy8tIjjzziwrcKAAAAAP/ldBmKiYlRamqq5syZo+TkZEVERCg+Pt5+mdyZM2cczgQNHDhQFotFs2bN0rlz5xQUFKQ2bdpo+PDh9n3Onj2rESNG6OLFiwoKClKTJk20atUqltcGAAAAUGQKtIBCz5491bNnzzy3LV++3PEb+PhoyJAhGjJkyC2PN3PmzILEAAAAAIACc/qhqwAAAADgCShDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlApUhlasWKG2bduqYcOG6tatm/bt2/eH+//9739Xhw4dFBkZqdatW2vy5Mm6ceNGoY4JAAAAAIXhdBlKSEhQXFycBg8erLVr1yo8PFz9+vVTSkpKnvtv3LhRM2bM0JAhQ5SQkKBJkyYpISFBb7/9doGPCQAAAACF5XQZWrJkibp3767HH39ctWvXVmxsrPz9/bVmzZo899+7d68aN26sTp06qUqVKoqOjtYjjzzicObH2WMCAAAAQGH5OLNzZmamDhw4oAEDBtjHvLy81LJlS+3duzfP10RFRWnDhg3at2+fIiMjlZSUpG3btunRRx8t8DFvxWJxaneg2GGOw9Mxx4ufmz8zfnbwVMzx4seZn5VTZSgtLU05OTkKDg52GA8ODtbRo0fzfE2nTp2Ulpamp59+WjabTdnZ2XryySf1/PPPF/iYtxIcXMap/YHiJDCwtNERgCLFHC/e+B0MT8cc90xOlaGC2LlzpxYsWKDXXntNkZGROnHihCZNmqT58+dr8ODBLv1eKSlXZLO59JAF4u3txS91uFxa2jXl5FiNjiGJOY6icTvNceSfxfL7PxJvl9/BgKsxx4ufmz+z/HCqDAUGBsrb2zvXwgYpKSkKCQnJ8zWzZ89W586d1a1bN0lSWFiY0tPT9eqrr2rgwIEFOuat2GxiksKjMb/h6ZjjxRe/g+HpmOOeyakFFHx9fVW/fn0lJibax6xWqxITExUVFZXna65fvy4vL8dv4+3tLUmy2WwFOiYAAAAAFJbTl8n17dtXY8aMUYMGDRQZGamlS5cqIyNDXbt2lSSNHj1aFSpU0MiRIyVJbdq00ZIlS1SvXj37ZXKzZ89WmzZt7KXoz44JAAAAAK7mdBmKiYlRamqq5syZo+TkZEVERCg+Pt5+SduZM2cczgQNHDhQFotFs2bN0rlz5xQUFKQ2bdpo+PDh+T4mAAAAALiaxWbznKsfL1y4PW5s8/H5/ebyjnO268Dpy0bHQTFXv1JZfTKsldLSrik7+/a4uZw5Dle6Hec48s9ikUJCytw2v4MBV2OOFz83f2b54fRDVwEAAADAE1CGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJgSZQgAAACAKVGGAAAAAJiST0FetGLFCi1evFjJyckKDw/XK6+8osjIyDz37dWrl3bt2pVrvHXr1lq4cKEkaezYsVq7dq3D9ujoaC1evLgg8QAAAADgTzldhhISEhQXF6fY2FjdfffdWrp0qfr166fNmzcrODg41/5z585VVlaW/euLFy/q0Ucf1UMPPeSwX6tWrRQXF2f/2tfX19loAAAAAJBvTl8mt2TJEnXv3l2PP/64ateurdjYWPn7+2vNmjV57n/HHXcoNDTU/mfHjh3y9/fPVYZ8fX0d9itXrlzB3hEAAAAA5INTZ4YyMzN14MABDRgwwD7m5eWlli1bau/evfk6xpo1a9SxY0eVKlXKYXzXrl1q0aKFypYtq3vvvVcvvviiAgMDnYkni8Wp3YFihzkOT8ccL35u/sz42cFTMceLH2d+Vk6VobS0NOXk5OS6HC44OFhHjx7909fv27dPR44c0aRJkxzGW7Vqpb/85S+qUqWKkpKS9Pbbb+u5557TRx99JG9v73znCw4uk+99geImMLC00RGAIsUcL974HQxPxxz3TAVaQKGgVq9erbp16+ZabKFjx472/w4LC1NYWJjat29vP1uUXykpV2SzuSxugXl7e/FLHS6XlnZNOTlWo2NIYo6jaNxOcxz5Z7H8/o/E2+V3MOBqzPHi5+bPLD+cKkOBgYHy9vZWSkqKw3hKSopCQkL+8LXp6en65JNPNGzYsD/9PlWrVlVgYKCOHz/uVBmy2cQkhUdjfsPTMceLL34Hw9Mxxz2TUwso+Pr6qn79+kpMTLSPWa1WJSYmKioq6g9fu3nzZmVmZqpz585/+n3Onj2rixcvKjQ01Jl4AAAAAJBvTl8m17dvX40ZM0YNGjRQZGSkli5dqoyMDHXt2lWSNHr0aFWoUEEjR450eN3q1avVvn37XIsiXLt2TfPmzVOHDh0UEhKipKQkTZs2TdWrV1erVq0K8dYAAAAA4NacLkMxMTFKTU3VnDlzlJycrIiICMXHx9svkztz5oy8vBxPOB09elR79uzR+++/n+t43t7eOnLkiNatW6crV66ofPnyuu+++/TCCy/wrCEAAAAARaZACyj07NlTPXv2zHPb8uXLc43VrFlThw8fznN/f39/LV68uCAxAAAAAKDAnH7oKgAAAAB4AsoQAAAAAFOiDAEAAAAwJcoQAAAAAFOiDAEAAAAwJcoQAAAAAFOiDAEAAAAwJcoQAAAAAFOiDAEAAAAwJcoQAAAAAFOiDAEAAAAwJcoQAAAAAFOiDAEAAAAwJcoQAAAAAFOiDAEAAAAwJcoQAAAAAFOiDAEAAAAwJcoQAAAAAFOiDAEAAAAwJcoQAAAAAFOiDAEAAAAwJR+jAwAAAADutGbNKq1cuVypqSmqVauOhg8fpXr1GuS575Ah/bV37/e5xlu0uE/Tps1Wdna2Fi58R99+u0OnT59S6dIBatq0uQYOHKqQkNCifisoJMoQAAAATOPzz7do3ryZeumlcapXr4FWrVqpESOGauXKNQoMDMq1/+TJ01SmjJ9SU6/KZpMuXbqkvn2fVps27SVJ169f15Ejh/TMM8+qTp06unz5imbPnq4xY0Zo8eLl7n57cBKXyQEAAMA0PvxwhTp16qKOHTvrrrtqatSocfL399emTRvy3L9s2XIKDQ1VcHCIgoND9N13O+Xn528vQwEBAZo16x21a/cXVatWQw0aNNSIEaN1+PBBnT171p1vDQVAGQIAAIApZGVl6ciRQ2ra9B77mJeXl5o2ba4DB/bl6xibNq1Xu3YPqmTJkrfc5+rVq7JYLCpTJqDQmVG0KEMAAAAwhUuXLionJ0dBQY6XwwUFBSklJeVPX/+f/+zX0aO/qlOnR2+5z40bN/Tuu3PVvn0HlS5NGbrdUYYAAACAfNi0ab1q1ap9y8UWsrOz9eqrYyXZ9NJLY90bDgVCGQIAAIAplCt3h7y9vZWamuownpqaquDg4D98bUZGhj7/fIs6dsz7rFB2drZeeWWszp49q5kz53NWqJigDAEAAMAUSpQoobp1w7Vnzy77mNVq1Z49u1W/fuQfvvaLL7YqKytLHTo8nGvbzSJ08uQJzZr1jsqVu8PV0VFEWFobAADApLy8LPLyshgdw62efrqn3nzzNdWrV1/16tXXRx99oOvXM9S586Py8fFSbOwrCg0tr0GDhjq87pNP1uv++x9QcLDj/UbZ2Vl65ZUxOnz4kGbMmC0vL5suXfr9zFPZsuVUokQJt703o1mtNlmtNqNjOIUyBAAAYEJeXhaVu6OUfLzNdaFQ9+5dlZmZrsWLFyg5OVkRERFavHixateuJklKSUmWv7+vAgNL219z9OhR/fjjD3r//fcdxiXp5MmT2r59mySpV68nHbYtW7ZM99xzj8wiO8eqSxfTi1UhsthstuKT9k9cuHBFt8O78fHxUmBgaXWcs10HTl82Og6KufqVyuqTYa2UlnZN2dlWo+NIYo7DtW7HOY78s1ikkJAyt83vYOTfzb/LX/hwr345f9XoOCjmapcP0Owno26Lv8tv/r2UH5wZAgAAMLFfzl/lgy2YFmUIAADYrVmzSitXLldqaopq1aqj4cNH3XIZ4SFD+uuHH77PNd6ixX2aNm22JGnbti+0bt0aHT58SJcvX9KSJStUp05Ykb4HAMgvc10kCgAAbunzz7do3ryZ6tv3OS1e/A/Vrl1XI0YMVVpaap77T548TRs2bNbXX3+tDRs2a9myj+Tt7a02bdrb98nIyFBkZCMNHDg0z2MAgJE4MwQAACRJH364Qp06dVHHjp0lSaNGjVNi4tfatGmDevXqk2v/smXL2a/Nt1j8tXXrFvn5+TuUoYce6ihJOnPmtFveAwA4gzNDAABAWVlZOnLkkJo2/e/KV15eXmratLkOHNiXr2Ns2rRe7do9qJIlSxZVTABwKcoQAADQpUsXlZOTo6Agx2eoBAUFKSUl5U9f/5//7NfRo7+qU6dHiyoiALgcZQgAABTapk3rVatW7VsutgAAtyPKEAAAULlyd8jb21upqY6LJaSmpio4OPgPX5uenq6tW7eoY0fOCgEoXihDAABAJUqUUN264dqzZ5d9zGq1as+e3apfP/IPX7t582ZlZWWpQ4eHizomALgUq8kBAHALXl4WeXlZjI7hNk8/3VNvvvma6tWrr3r16uujjz7Q9esZ6tz5Ufn4eCk29hWFhpbXoEGOy2SvXr1a99//gIKDg3Id89KlSzp37qwuXEiWJJ08eULe3l4KDg5WcHCIW97X7cJqtclqtRkdA8D/oAwBAJAHLy+Lyt1RSj7e5rmIonv3rsrMTNfixQuUnJysiIgILV68WLVrV5MkpaQky9/fV4GBpe2vOXr0qPbs2aP333/fYfymf//7M40bN87+9Suv/P7fQ4YM0dCh5nr2UHaOVZcuplOIgNsIZQgAgDx4eVnk4+2lFz7cq1/OXzU6jhtVV6nH3lB1SemSxm+7LG3b/vumZv2VKqnjnO0Or6g9OF6T91ilPdv/78Ekhar24Phco5tt0uY5ee3vmWqXD9DsJ6Pk5WWhDAG3EcoQAAB/4JfzV3Xg9GWjYwAAioB5zv0DAAAAwP+gDAEAAAAwJcoQAAAAAFOiDAEAAAAwJcoQAAAAAFOiDAEAAAAwpQKVoRUrVqht27Zq2LChunXrpn379t1y3169eiksLCzXn/79+9v3sdlsmj17tqKjoxUZGak+ffro2LFjBYkGAAAAAPnidBlKSEhQXFycBg8erLVr1yo8PFz9+vVTSkpKnvvPnTtXX3/9tf3Ppk2b5O3trYceesi+z6JFi7R8+XK9/vrrWrVqlUqWLKl+/frpxo0bBX9nAAAAAPAHnC5DS5YsUffu3fX444+rdu3aio2Nlb+/v9asWZPn/nfccYdCQ0Ptf3bs2CF/f397GbLZbFq2bJkGDhyo9u3bKzw8XFOnTtX58+e1devWwr07AAAAALgFp8pQZmamDhw4oJYtW/73AF5eatmypfbu3ZuvY6xZs0YdO3ZUqVKlJEknT55UcnKywzHLlCmju+++O9/HvMliuT3+AEXF6LnNHEdRM3puM8/hDkbPbeY4iprRc9uZ+e3jzBtLS0tTTk6OgoODHcaDg4N19OjRP339vn37dOTIEU2aNMk+lpycbD/G/z3mhQsXnImn4OAyTu0PFCeBgaWNjgAUKeY4zIB5Dk9X3Oa4U2WosFavXq26desqMjKySI6fknJFNluRHNop3t5exW4i4PaXlnZNOTlWo2NIYo6jaNxOc1xinqNo3E7znDmOonA7zHGLJf8nSZwqQ4GBgfL29s61WEJKSopCQkL+8LXp6en65JNPNGzYMIfx0NBQ+zHKly/vcMzw8HBn4slm021RhoCiwvyGp2OOwwyY5/B0xWmOO3XPkK+vr+rXr6/ExET7mNVqVWJioqKiov7wtZs3b1ZmZqY6d+7sMF6lShWFhoY6HPPq1av68ccf//SYAAAAAFBQTl8m17dvX40ZM0YNGjRQZGSkli5dqoyMDHXt2lWSNHr0aFWoUEEjR450eN3q1avVvn17BQYGOoxbLBb17t1b7777rqpXr64qVapo9uzZKl++vNq3b1+ItwYAAAAAt+Z0GYqJiVFqaqrmzJmj5ORkRUREKD4+3n6Z3JkzZ+Tl5XjC6ejRo9qzZ4/ef//9PI/53HPPKSMjQ6+++qouX76sJk2aKD4+Xn5+fgV4SwAAAADw5wq0gELPnj3Vs2fPPLctX74811jNmjV1+PDhWx7PYrHohRde0AsvvFCQOAAAAADgNKcfugoAAAAAnoAyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUKEMAAAAATIkyBAAAAMCUClSGVqxYobZt26phw4bq1q2b9u3b94f7X758WbGxsYqOjlaDBg3UoUMHbdu2zb597ty5CgsLc/jz0EMPFSQaAAAAAOSLj7MvSEhIUFxcnGJjY3X33Xdr6dKl6tevnzZv3qzg4OBc+2dmZqpv374KDg7W7NmzVaFCBZ0+fVply5Z12K9OnTpasmSJ/Wtvb+8CvB0AAAAAyB+ny9CSJUvUvXt3Pf7445Kk2NhYffnll1qzZo369++fa/81a9bo0qVL+vDDD1WiRAlJUpUqVXLt5+3trdDQUGfjAAAAAECBOFWGMjMzdeDAAQ0YMMA+5uXlpZYtW2rv3r15vuaLL75Qo0aN9MYbb+jzzz9XUFCQHnnkET333HMOZ3+OHz+u6Oho+fn5qVGjRho5cqQqVark1JuxWJzaHSh2mOPwdMxxmAHzHJ7O6DnuzPd3qgylpaUpJycn1+VwwcHBOnr0aJ6vSUpK0rfffqtOnTpp4cKFOnHihGJjY5Wdna0hQ4ZIkiIjIxUXF6e77rpLycnJmj9/vnr06KGNGzcqICAg3/mCg8s483aAYiUwsLTREYAixRyHGTDP4emK2xx3+jI5Z9lsNgUHB+vNN9+Ut7e3GjRooHPnzmnx4sX2MtS6dWv7/uHh4br77rvVpk0bffrpp+rWrVu+v1dKyhXZbC5/C07z9vYqdhMBt7+0tGvKybEaHUMScxxF43aa4xLzHEXjdprnzHEUhdthjlss+T9J4lQZCgwMlLe3t1JSUhzGU1JSFBISkudrQkND5ePj43BJXM2aNZWcnKzMzEz5+vrmek3ZsmVVo0YNnThxwpl4stl0W5QhoKgwv+HpmOMwA+Y5PF1xmuNOLa3t6+ur+vXrKzEx0T5mtVqVmJioqKioPF/TuHFjnThxQlbrfxvisWPHFBoammcRkqRr164pKSmJBRUAAAAAFBmnnzPUt29frVq1SmvXrtWvv/6q119/XRkZGerataskafTo0ZoxY4Z9/6eeekoXL17UpEmT9Ntvv+nLL7/UggUL1KNHD/s+b731lnbt2qWTJ0/q+++/15AhQ+Tl5aVHHnnEBW8RAAAAAHJz+p6hmJgYpaamas6cOUpOTlZERITi4+Ptl8mdOXNGXl7/7VgVK1bU4sWLFRcXp86dO6tChQrq3bu3nnvuOfs+Z8+e1YgRI3Tx4kUFBQWpSZMmWrVqlYKCglzwFgEAAAAgtwItoNCzZ0/17Nkzz23Lly/PNRYVFaVVq1bd8ngzZ84sSAwAAAAAKDCnL5MDAAAAAE9AGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZEGQIAAABgSpQhAAAAAKZUoDK0YsUKtW3bVg0bNlS3bt20b9++P9z/8uXLio2NVXR0tBo0aKAOHTpo27ZthTomAAAAABSG02UoISFBcXFxGjx4sNauXavw8HD169dPKSkpee6fmZmpvn376tSpU5o9e7Y2b96sN998UxUqVCjwMQEAAACgsJwuQ0uWLFH37t31+OOPq3bt2oqNjZW/v7/WrFmT5/5r1qzRpUuXNH/+fDVp0kRVqlRR8+bNFR4eXuBjAgAAAEBhOVWGMjMzdeDAAbVs2fK/B/DyUsuWLbV37948X/PFF1+oUaNGeuONN9SyZUs98sgjeu+995STk1PgY96KxXJ7/AGKitFzmzmOomb03Gaewx2MntvMcRQ1o+e2M/Pbx5k3lpaWppycHAUHBzuMBwcH6+jRo3m+JikpSd9++606deqkhQsX6sSJE4qNjVV2draGDBlSoGPeSnBwGaf2B4qTwMDSRkcAihRzHGbAPIenK25z3KkyVBA2m03BwcF688035e3trQYNGujcuXNavHixhgwZ4tLvlZJyRTabSw9ZIN7eXsVuIuD2l5Z2TTk5VqNjSGKOo2jcTnNcYp6jaNxO85w5jqJwO8xxiyX/J0mcKkOBgYHy9vbOtbBBSkqKQkJC8nxNaGiofHx85O3tbR+rWbOmkpOTlZmZWaBj3orNptuiDAFFhfkNT8cchxkwz+HpitMcd+qeIV9fX9WvX1+JiYn2MavVqsTEREVFReX5msaNG+vEiROyWv/bEI8dO6bQ0FD5+voW6JgAAAAAUFhOrybXt29frVq1SmvXrtWvv/6q119/XRkZGerataskafTo0ZoxY4Z9/6eeekoXL17UpEmT9Ntvv+nLL7/UggUL1KNHj3wfEwAAAABczel7hmJiYpSamqo5c+YoOTlZERERio+Pt1/SdubMGXl5/bdjVaxYUYsXL1ZcXJw6d+6sChUqqHfv3nruuefyfUwAAAAAcLUCLaDQs2dP9ezZM89ty5cvzzUWFRWlVatWFfiYAAAAAOBqTl8mBwAAAACegDIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJQoQwAAAABMiTIEAAAAwJR8jA7gShaL0QkclfT1VoCfR/1fDAOU9PW2/zdzHJ7odp7jEvMcrnE7z3PmOFzhdprjznx/i81msxVdFAAAAAC4PXGZHAAAAABTogwBAAAAMCXKEAAAAABTogwBAAAAMCXKEAAAAABTogwBAAAAMCXKEAAAAABTogwBAAAAMCXKEAAAAABTogwBAAAAMCXKEAAAAABTogzhtnH9+nWjIwAAAMBEKENwq4kTJ+Y5np6erueee87NaQAAAP5cdna20RFQRHyMDgBz+fLLL1W2bFkNGzbMPpaenq5nn33WwFSAa33++ed5jlssFvn5+alatWqqWrWqm1MBrvXdd9/pww8/VFJSkubMmaMKFSpo3bp1qlKlipo2bWp0PKBAvvrqK1WoUEFhYWGyWq1699139eGHH+rChQsKDQ1Vz5499dxzz8lisRgdFS5CGYJbvf/++3r66adVtmxZ9enTR1evXtWzzz4rb29vLVq0yOh4gEsMHjxYFotFNpvNYfzmmMViUZMmTTR//nyVK1fOoJRAwX322WcaPXq0OnXqpP/85z/KzMyUJF29elULFiygDKHYmjx5sv0qlkWLFmnZsmUaOHCgatasqd9++00LFy6UJPXv39/ImHAhLpODW1WrVk3x8fF69913tWzZMvXr108lSpTQokWLVKpUKaPjAS6xZMkSNWzYUEuWLNF3332n7777TkuWLNHdd9+tBQsW6B//+IcuXryot956y+ioQIG8++67io2N1cSJE+Xj89/PVRs3bqz//Oc/BiYDCufUqVOqVKmSJGnTpk16/fXX1adPH91///165plnNGnSJK1evdrglHAlyhDcLjw8XO+9955mzpwpf39/ihA8zqRJkzR27Fi1aNFCAQEBCggIUIsWLTRq1ChNnTpVTZo00fjx4/XNN98YHRUokN9++y3Psz9lypTR5cuXDUgEuEa5cuV0/vx5SVJqaqqqV6/usL1GjRo6d+6cEdFQRLhMDkWuS5cueV5b6+vrq/Pnz+upp56yj61du9ad0YAiceLECQUEBOQaDwgIUFJSkiSpevXqSktLc3c0wCVCQkJ04sQJValSxWF8z5493A+HYu0vf/mL3nvvPc2fP1/t2rXTBx98oDfffNP+75h//OMfioiIMDglXIkyhCLXvn17oyMAblW/fn1NnTpVU6dOVVBQkKTfP2GcNm2aGjZsKEk6fvy47rzzTiNjAgXWvXt3TZo0SZMnT5bFYtG5c+e0d+9evfXWWxo0aJDR8YACGzFihPr06aOHH35YjRo10ubNm/XNN9+oRo0aOn78uC5duqTFixcbHRMuZLH93zt8AQCFcvToUQ0aNEgnT55UxYoVJUlnzpxR1apV9c477+iuu+7S1q1bdfXqVXXp0sXYsEAB2Gw2vffee1q4cKEyMjIk/X62/29/+5tefPFFY8MBhZSVlaXVq1fr3//+t5KSkmS1WlW+fHk1btxYTz31FB9keRjKENwqOztbv/zyi5KTkyVJoaGhqlWrlkqUKGFwMsC1rFarvv76ax07dkySdNddd+m+++6Tlxe3asJzZGZm6sSJE0pPT1etWrVUunRpoyMBgFMoQ3ALq9Wq2bNn64MPPtCVK1cctpUpU0Y9evTQsGHD+IciAAC4LeTk5CgtLU1eXl72S57hebhnCG4xffp0rV27ViNHjlR0dLRCQkIkSRcuXNCOHTs0e/ZsZWVladSoUQYnBVwjMTFRiYmJSklJkdVqddgWFxdnUCqg4IYMGZLvfefNm1eESYCi9eWXX2rRokXat2+fsrOzJUmlS5dWmzZtNHz4cPvS2/AMfAwPt1i/fr2mTp2qJ598UlWqVJG/v7/8/f1VpUoV/fWvf9Vbb73FSnLwGPPmzdPf/vY3JSYmKi0tTZcvX3b4AxRHZcqUsf8JCAhQYmKi9u/fb99+4MABJSYmqkyZMgamBApn3bp1GjFihCIjI/W3v/1NwcHBevbZZzVy5EidPXtWXbt2tV/+DM/AZXJwi0aNGumjjz5SWFhYntsPHTqkp556Snv37nVzMsD1oqOj9dJLL7E4AjzWtGnTdOnSJcXGxsrb21vS75cUxcbGqnTp0hozZozBCYGCefjhhzV06FDFxMRIkn766ScNGTJEX375pSwWi4YPH66srCzOfnoQzgzBLZo3b66pU6cqNTU117bU1FRNnz5dzZs3NyAZ4HpZWVlq3Lix0TGAIrNmzRr97W9/sxchSfL29lafPn308ccfG5gMKJzTp08rMjLS/nXDhg114cIF+4NY+/btq507dxoVD0WAe4bgFrGxserfv79atWqlunXrKjg4WJKUkpKiI0eOqFatWlqwYIHBKQHXeOKJJ7Rx40YNHjzY6ChAkcjJydHRo0dVs2ZNh/GjR4/mukcOKE4qV66s/fv32x8ofODAAVksFvu9zuXKlbPfRwTPQBmCW1SsWFHr16/X9u3b9eOPP+rChQuSpMjISA0fPlzR0dGsJAePcePGDa1atUqJiYkKCwuTj4/jX7Xjxo0zKBngGl27dtXLL7+spKQk+4OE9+3bp4ULF6pr164GpwMKrkePHpowYYJ++ukn+fn56Z///KceffRR+1nQH3/8UTVq1DA2JFyKe4YAwMV69ep1y20Wi0XLli1zYxrA9axWqxYvXqxly5Y5PDeud+/euS6fA4qbDz74QBs2bFBmZqZatWqlQYMGyc/PT5J07Ngx5eTkqFatWganhKtQhuBW+/bt0969e+1nhkJCQhQVFeVwfS4AoPi4evWqJCkgIMDgJADgPMoQ3CIlJUVDhw7V999/r0qVKjncM3T69Gk1btxYc+fOtY8DnuLs2bOSpDvvvNPgJIDrpaam6ujRo5KkmjVr8mBKeIzs7Gz98ssvDmc+a9WqpRIlShicDK5GGYJbDBs2TOfPn9fkyZPzvOF2/PjxKl++vObMmWNQQsB1rFar3nnnHS1ZskTp6emSfn9gX9++fTVw4EDuj0Oxl56erjfffFPr16+3L5jg7e2tRx99VK+88opKlixpcEKgYKxWq2bPnq0PPvhAV65ccdhWpkwZ9ejRQ8OGDePvcQ/CAgpwi+3bt2vFihW5ipD0+6eJEyZM+MP7LIDiZObMmVq9erVGjhxpX2J7z549mjdvnjIzMzV8+HCDEwKFM2XKFO3evVvvvvuumjRpIun3OT5x4kRNmTJFsbGxBicECmb69Olau3atRo4cqejoaPsqchcuXNCOHTs0e/ZsZWVladSoUQYnhatQhuAWvr6+9uvK83Lt2jX5+vq6MRFQdNauXauJEyeqXbt29rHw8HBVqFBBsbGxlCEUe5999pnmzJmje+65xz7WunVr+fn56cUXX6QModhav369pk6dqlatWjmMV6lSRX/9619VqVIljRkzhjLkQTjHB7eIiYnR2LFj9a9//cuhFF29elX/+te/NG7cOD3yyCMGJgRc59KlS7c8C3rp0iUDEgGudf36dfsn5v8rODhY169fNyAR4BrXrl1T+fLlb7k9NDRUGRkZbkyEokYZgluMGzdOrVq10vDhw9WsWTNFRkYqMjJSzZo10/Dhw3X//fdrzJgxRscEXCI8PFwrVqzINb5ixQqFh4cbkAhwrUaNGmnOnDm6ceOGfez69euaN2+eGjVqZFwwoJCaN2+uqVOnKjU1Nde21NRUTZ8+Xc2bNzcgGYoKCyjAra5evar9+/c7LK3doEEDlmSFR9m1a5cGDBigihUr2v9h+MMPP+jMmTNatGiRmjZtamxAoJCOHDmifv36KTMz017wDx06JD8/Py1evFh16tQxOCFQMGfOnFH//v119OhR1a1b12H12yNHjqhWrVpasGCBKlasaHBSuAplCIay2WyyWCxGxwBc7ty5c/rggw8clh1++umnVaFCBYOTAa6RkZGhjRs32ud4rVq11KlTJ/n7+xucDCgcq9Wq7du368cff3T48LZRo0aKjo5mJTkPQxmCoRo0aKD169fzJGcAAAC4HavJwS3i4uLyHM/JydHChQt1xx13SPr93iKgODp06FC+9+W+IRR3CxYsUHBwsJ544gmH8dWrVys1NVX9+/c3KBlQNHr37q24uDhVrlzZ6ChwMcoQ3GLp0qUKDw9XmTJlHMZtNpt+/fVXlSxZksvlUKx16dJFFotFf3ay3WKx6ODBg25KBRSNjz76SNOnT881XqdOHQ0fPpwyhGLr888/z3P8u+++05dffqk777xTkhwenYDijcvk4BYLFy7URx99pIkTJ6pFixb28fr162v9+vWqXbu2gemAwjt16lS+9+WTRRR3DRs2VEJCgqpWreownpSUpJiYGP30008GJQMKJzw8/E8/2OJDLc/CmSG4Rf/+/XXvvfdq1KhRatu2rUaMGKESJUoYHQtwmf8tOLt371ZUVJR8fBz/is3OztbevXspQyj2KlasqO+//z5XGdqzZ88fPqMFuN1FR0fL29tbkydPtq8kJ/HhrSdjOQy4TWRkpD7++GOlpqbq8ccf15EjR7g0Dh6pd+/eeT5c9cqVK+rdu7cBiQDX6tatmyZPnqw1a9bo1KlTOnXqlFavXq24uDh1797d6HhAgcXHx6tFixZ6/PHH9e9//9voOHADzgzBrUqXLq233npLn3zyifr27aucnByjIwEud6sl4y9evKiSJUsakAhwrWeffVYXL15UbGyssrKyJEl+fn569tlnNWDAAIPTAYXTp08f3XPPPXrppZf073//m8WdPBz3DMEwZ8+e1f79+9WyZUuVKlUq17by5cuzlj+KlSFDhkj6/QbcVq1aydfX174tJydHhw8f1l133aXFixcbFRFwqWvXrunXX3+Vv7+/atSo4TDngeLu+vXrmjx5snbu3KmkpCRt2LCBy+Q8EGeGYJg777zTvirL/xUTE6P169fnuh4duJ3dXC3RZrOpdOnSDg+fLFGihBo1aqRu3boZFQ9wudKlSysyMtLoGECR8Pf31xtvvKHPP/9cO3fuVGBgoNGRUAQoQ7gtccISxVFcXJx97k6YMEGlS5c2OBFQNNLT07Vw4UJ9++23SklJkdVqddh+q+WJgeLi7NmzDsto/+9S2j/88IMaNWpkUDK4GmUIAFzIZrNp48aNGjBgAGUIHmvChAnatWuXHn30UYWGhrIYDjzO3/72N33wwQf2h8LftGfPHg0YMEDfffedMcHgcpQhAHAhLy8vVa9eXRcvXjQ6ClBkvvrqKy1YsEBNmjQxOgpQJO6++2797W9/07JlyxQQECDp98cmPP/88xo6dKjB6eBK3J0OAC42cuRITZ06VUeOHDE6ClAkypYtm+sTc8CTTJo0SZUqVdLAgQOVmZmpb7/9Vv3799ewYcPUp08fo+PBhVhNDrelxo0bs4ACiq1mzZopIyNDOTk5KlGihMNCCpK0a9cug5IBrrF+/Xp9/vnneuutt1guHh4rMzNTAwYMUEZGhg4fPqyRI0eqZ8+eRseCi3GZHG5LdHQUZ+PHjzc6AlCklixZohMnTqhly5aqUqWKfHwc/zmxdu1ag5IBBXfo0KFcY0OGDNHIkSPVuXNnNW3a1L5PeHi4u+OhiHBmCG6VmpqqoKCgPLcdPnxYYWFhkqQzZ86ofPny8vb2dmc8AEA+zJs37w+333zmFlCchIeHy2KxOHwg+79f3/xvi8WigwcPGhUTLkYZglvdd999mjRpkh544AGH8cWLF2v27Nnat2+fMcEAFztx4oTWrFmjpKQkvfzyywoODta2bdtUqVIl1alTx+h4AID/49SpU/net3LlykWYBO7EAgpwqz59+mjo0KF67bXXdP36dZ07d07PPPOM4uPjNWPGDKPjAS6xa9cuderUSfv27dOWLVuUnp4u6fezn3PnzjU4HeAaly9f1j//+U/NmDHDvnrigQMHdO7cOWODAQVUuXLlfP+5qX///jp//ryBqVFYlCG41XPPPaePPvpIe/bsUefOndW5c2f5+vpqw4YN+stf/mJ0PMAlZsyYoRdffFFLlixRiRIl7OP33nuvfvjhB+OCAS5y6NAhdejQQYsWLdL777+vK1euSJK2bNnCB1swld27d+vGjRtGx0AhUIbgdtWqVVOdOnV06tQpXb16VTExMQoNDTU6FuAyR44cUfv27XONBwUFKS0tzYBEgGtNmTJFjz32mLZs2SJfX1/7eOvWrXkYJYBihTIEt7p5Ruj48ePasGGDXn/9db355pt68cUXdenSJaPjAS5RpkwZJScn5xo/ePCgKlSoYEAiwLV++uknPfnkk7nGK1SokOfcB4DbFWUIbvXMM88oJiZGH330kWrVqqVu3bpp3bp1OnPmjDp16mR0PMAlOnbsqOnTpys5OVkWi0VWq1V79uzRW2+9pS5duhgdDyg0X19fXb16Ndf4sWPHbrliKADcjihDcKv3339fL730ksN9FNWqVdPKlSv117/+1cBkgOsMHz5cNWvW1AMPPKD09HR17NhRPXv2VFRUlAYOHGh0PKDQ2rZtq/nz5ysrK8s+dvr0aU2fPl0PPviggckAwDksrQ0AReT06dP6+eefde3aNdWrV081atQwOhLgEleuXNGwYcO0f/9+Xbt2TeXLl9eFCxfUqFEjLVy4UKVKlTI6IuAWUVFR2rBhg6pWrWp0FBQQZQhu8+9//1v79u1TdHS0mjRposTERL3//vuyWq168MEHOTMEAMXMnj17dOjQIaWnp6t+/fpq2bKl0ZEAt1qwYIGeeuoplS1b1ugoKCDKENziww8/1JtvvqmwsDAdP35cr776qmJjYxUTEyMvLy+tX79eI0aM0DPPPGN0VKDQbDabNm/erJ07dyo1NVVWq9Vh+7x58wxKBrhXp06dtHDhQlWsWNHoKIBTPv/88zzHLRaL/Pz8VK1aNc4GeQgfowPAHJYvX67XXntN3bt317fffqv+/ftrzJgx6tGjhySpUaNGio+PpwzBI0yaNEkfffSR7rnnHoWEhMhisRgdCTDEyZMnlZ2dbXQMwGmDBw+WxWLR/z1ncHPMYrGoSZMmmj9/vsqVK2dQSrgCZQhucfLkSUVHR0v6/cGTVqtVzZo1s29v3ry53njjDaPiAS61YcMGzZs3T61btzY6CgCgAJYsWaKZM2dq+PDhatiwoaTfl5SfPXu2Bg4cqICAAL322mt66623NHnyZIPTojBYTQ5ucccdd+j06dOSpHPnzik7O1tnzpyxbz99+jSfrMBjBAQEqEqVKkbHAAAU0KRJkzR27Fi1aNFCAQEBCggIUIsWLTRq1ChNnTpVTZo00fjx4/XNN98YHRWFxJkhuEW7du308ssvq0uXLvriiy/UpUsXTZkyRRaLRRaLRVOnTtV9991ndEzAJYYOHar58+dr8uTJ8vf3NzoOAMBJJ06cUEBAQK7xgIAAJSUlSZKqV6+utLQ0d0eDi1GG4BYvvfSSsrKylJCQoKioKE2YMEHLly/XoEGDlJ2drWbNmmnkyJFGxwRc4uGHH9amTZvUokULValSRT4+jn/Vrl271qBkAID8qF+/vqZOnaqpU6faHyScmpqqadOm2S+bO378uO68804jY8IFWE0Ohrpx44aysrLy/PQFKK5eeOEF7dy5Ux06dMhzAYUhQ4YYlAxwL57BguLq6NGjGjRokE6ePGlfDfHMmTOqWrWq3nnnHd11113aunWrrl69qi5duhgbFoVCGcJtqXHjxlq/fj2/QFEs3VwdsWnTpkZHAQy1ceNGtWvXjoewoliyWq36+uuvdezYMUnSXXfdpfvuu09eXtxy70m4TA63JTo6irM777yTs53wSGfPnpWvr6/9sqHvvvtOK1eu1JkzZ1SpUiX16NFDUVFR9v07depkVFSg0Ly8vHT//ffr/vvvNzoKihBlCABcbOzYsZo2bZpiY2NZVQ4eZejQoRo0aJDatGmjrVu3aujQoXrggQfUuHFjHTt2TL169dLcuXPVpk0bo6MChZaYmKjExESlpKTkenh2XFycQangapQhAHCxUaNGKSMjQ3/5y1/k7++vEiVKOGzftWuXQcmAwvnll19Uu3ZtSdLChQs1fPhw9e/f3779H//4h+bMmUMZQrE3b948zZ8/Xw0aNFBoaCgPz/ZglCEAcLHx48cbHQEoEt7e3rp27Zqk3x+m/X8vH7r//vs1ffp0I6IBLvXhhx8qLi6OxRFMgDKE2xKfwKA4e+yxx/K138KFC/Xkk0+qbNmyRZwIcI1mzZrpk08+UXh4uCIiIrRr1y6Fh4fbt+/cuVMVKlQwMCHgGllZWWrcuLHRMeAGlCHcllhAAWbw3nvv6eGHH6YModh46aWX9PTTT+v8+fNq0qSJZs6cqZ9++km1atXSb7/9poSEBMXGxhodEyi0J554Qhs3btTgwYONjoIiRhmCW82bN0/9+vVTyZIlHcavX7+u+Ph4+/NXFi1axKeL8HiUfhQ3tWrV0j//+U/NmjVL8fHxysjI0MaNG+Xj46MGDRpo5syZat++vdExgUK7ceOGVq1apcTERIWFheV6ePa4ceMMSgZX4zlDcKuIiAh9/fXXCg4OdhhPS0tTy5YtdfDgQYOSAe7HAylRnNlsNvsqW4GBgbkWCgGKs169et1ym8Vi0bJly9yYBkWJM0NwK5vNluf9QIcOHVK5cuUMSAQAKAiLxaKQkBCjYwBFYvny5UZHgJtQhuAWzZo1k8VikcViUYcOHRwKUU5OjtLT0/Xkk08amBAAkB/nz5/XypUrtWfPHiUnJ8vLy0tVq1ZVu3bt1LVrV3l7exsdEXCps2fPSvr9gdrwPJQhuMX48eNls9k0fvx4DR06VGXKlLFvK1GihCpXruzw1HIAwO3np59+Ut++fVWtWjX5+/vr+PHjeuSRR5SVlaWpU6dqzZo1io+PV0BAgNFRgUKxWq165513tGTJEqWnp0uSSpcurb59+2rgwIHy8vIyOCFchTIEt7i51HCVKlXUuHHjXDciAmbUtGlT+fn5GR0DyLfJkyerT58+9sVu1q9frxUrVmjVqlW6dOmSnnnmGc2aNUsTJkwwOClQODNnztTq1as1cuRI+xLbe/bs0bx585SZmanhw4cbnBCuwgIKcKsDBw7Ix8dHYWFhkqStW7fq448/Vu3atTVkyBD5+voanBBwnZSUFPsN5v/rf5/LAhQnd999tzZt2mRf9MNqtSoyMlJffvmlQkJCtGPHDo0dO1bbt283OClQONHR0YqNjVW7du0cxrdu3arY2FjmuAfh43m41auvvqr+/fsrLCxMSUlJGj58uB588EFt3rxZGRkZevnll42OCBTa/v37NXbsWP3666/25bMtFot9ARFWTURxFRwcrPPnz9vL0IULF5SdnW2/LK569eq6dOmSkREBl7h06ZJq1qyZa7xmzZrMcQ9DGYJbHTt2TBEREZKkTz/9VM2bN9eMGTO0Z88ejRgxgjIEjzB+/HjVqFFDkyZNUnBwcJ4rKALFUbt27fT6669r1KhR8vX11TvvvKNmzZrJ399fkvTbb7/xjDh4hPDwcK1YsSLXJZ8rVqzg7L6HoQzBrWw2m/2SocTERD3wwAOSpIoVKyotLc3AZIDrJCUlae7cuapevbrRUQCXevHFF/Xyyy9r4MCBysnJUaNGjTRt2jT7dovFohEjRhiYEHCNUaNGacCAAfrmm2/UqFEjSdIPP/ygM2fOaNGiRcaGg0tRhuBWDRo00LvvvqsWLVpo9+7dev311yVJJ0+e5HkV8BgtWrTQoUOHKEPwOKVLl9asWbN048YNZWdnq3Tp0g7bo6OjDUoGuFbz5s21efNmffDBBzp69Kgk6S9/+Yuefvppzn56GBZQgFsdOnRIo0aN0unTp9W3b1/7ikRvvvmmLl68qBkzZhicECi81NRUjR07VpGRkapTp06u1RP/7w25AADAGJQh3BZu3LghLy8vlShRwugoQKF98cUXGj16tK5evZprGwsowJOdOHFCEyZM0LJly4yOAjjt0KFD+d6X+4Y8B2UIbnf58mV99tlnOnHihPr166c77rhDBw4cUEhICKee4RHatm2rBx54QIMGDeLyT5jKoUOH9Nhjj1H4USyFh4fbV/78I3yo5Vm4ZwhudejQIfXp00dly5bVqVOn1L17d91xxx3asmWLzpw5o6lTpxodESi0tLQ09enThyIEj/NnZ3zOnTvnpiSA633++edGR4ABKENwqylTpqhr164aPXq0oqKi7OOtW7fWSy+9ZGAywHUefPBB7dy5U9WqVTM6CuBSkydPVmho6C0vac7KynJzIsB1KleubP/v3bt3KyoqKtc9n9nZ2dq7d6/DvijeKENwq59++klvvPFGrvEKFSooOTnZgESA69WoUcP+/Ky6devm+mXau3dvg5IBhVOpUiW99NJLiomJyXP7wYMH1bVrVzenAlyvd+/e+vrrrxUcHOwwfuXKFfXu3ZvL5DwIZQhu5evrm+dN5ceOHVNQUJABiQDX++c//6lSpUpp165d2rVrl8M2i8VCGUKx1aBBAx04cOCWZSg/91sAxYHNZsvzgdkXL15UyZIlDUiEokIZglu1bdtW8+fP16xZs+xjp0+f1vTp0/Xggw8aFwwopKtXryogIEDS76vJAZ5o2LBhysjIuOX2WrVqcd8FirWbj/ywWCwaO3asfH197dtycnJ0+PBhh8v8Ufx5GR0A5jJ27Filp6erZcuWunHjhnr16qUHH3xQpUuX1vDhw42OBxRYs2bNlJKSIun3yysuX75scCLA9WrXrq2GDRvecnuJEiW4lwLFWpkyZVSmTBnZbDaVLl3a/nWZMmUUGhqqv/71r5o2bZrRMeFCnBmCW5UpU0ZLlizRnj17dOjQIaWnp6t+/fpq2bKl0dGAQilVqpQuXryo4OBg7dq1S9nZ2UZHAtzm448/1l/+8heVKVPG6ChAocTFxdkv9ZwwYYJKly5tcCIUNZ4zBLdat26dYmJiHE47S1JmZqYSEhLUpUsXY4IBhTR06FB9//33qlmzpn0VolutuMUDKeFpGjRooPXr16tWrVpGRwEKzWq1KjIyUps2bVKNGjWMjoMixpkhuNW4cePUqlWrXKuzXLt2TePGjaMModiaNm2a1q5dqxMnTmj37t2qU6eO/P39jY4FuFTz5s3zHM/OztZf//pXeXn9fvX9/104BChOvLy8VL16dV28eNHoKHADyhDc6lars5w7d47LK1Cs+fv766mnnpIk7d+/Xy+99JLKli1rcCrAtbKystS8eXM99NBD9jGbzaYJEybo2WefVYUKFQxMB7jOyJEjNXXqVL3++uuqW7eu0XFQhLhMDm7RpUsXWSwWHTp0SLVr13Z47kpOTo5OnjypVq1aafbs2QamBAD8kePHj2vkyJGqVauWXn31Vfv9FPXr19f69etVu3ZtgxMCrtGsWTNlZGQoJydHJUqUyHWmn7OfnoMzQ3CL9u3bS/r9gXzR0dEONyTeXH2IpbXhKYYOHaqGDRuqf//+DuOLFi3STz/9pDlz5hiUDCic6tWr68MPP9TMmTPVpUsXTZkyRU2aNDE6FuBy48ePNzoC3IQyBLe4uW5/5cqVFRMTIz8/vz/cf9OmTWrbtq1KlSrljniAS+3evds+5//X/fffryVLlhiQCHAdHx8fjRo1StHR0XrppZfUqVOnPC9/Boqzxx57zOgIcBOeMwS3euyxx/60CEnSq6++an9mC1DcpKen57mSnI+Pj65evWpAIsD1WrRooY8//lhHjx5VyZIl7YsnAJ7ixIkTmjlzpkaMGGH/N8m2bdv0888/G5wMrsTfXLgtcSsbirO6desqISEh13hCQgL3VMCjBAYGat68edq9e7dq1qyZa/vChQt5ADGKpV27dqlTp07at2+ftmzZovT0dEnS4cOHNXfuXIPTwZW4TA4AXGzQoEEaOnSokpKSdO+990qSEhMT9cknn7BICEzlvffe08MPP8zKiih2ZsyYoRdffFF9+/ZVVFSUffzee+/VP/7xDwOTwdUoQwDgYm3bttX8+fP13nvv6bPPPpOfn5/CwsK0ZMmSWz6nBfBEnOVHcXXkyBFNnz4913hQUJDS0tIMSISiQhkCgCLwwAMP6IEHHjA6BgCgAMqUKaPk5GRVrVrVYfzgwYM8T8vDcM8QAAAA8D86duyo6dOnKzk5WRaLRVarVXv27NFbb72lLl26GB0PLsSZIdyWKleu7PBgVuB217x5c23evFlBQUFq1qzZHy41zMP6AOD2Nnz4cL3xxht64IEHlJOTo44dOyonJ0ePPPKIBg4caHQ8uJDFxgW9cKN27dpp9erVCgwMdBi/fPmyHnvsMX3++ecGJQMKZ+3aterYsaN8fX318ccf/2EZ4vkVMIuoqCht2LAh16VGQHFx+vRp/fzzz7p27Zrq1aunGjVqGB0JLsZH73CrU6dOyWq15hrPzMzUuXPnDEgEuMb/FpyuXbsamAQw1vXr1+Xv7y9Jatq0ab6eLQfcripVqqRKlSoZHQNFiDIEt/jfMz7bt29XmTJl7F9brVYlJiaqcuXKRkQDXO7AgQPy8fFRWFiYJGnr1q36+OOPVbt2bQ0ZMkS+vr4GJwQKZ+LEiZowYUKu8fT0dA0YMEDLly+XJC1atMjd0QCXsNls2rx5s3bu3KnU1NRcH+TOmzfPoGRwNcoQ3GLw4MH2/x47dqzDNh8fH1WuXDnXOFBcvfrqq+rfv7/CwsKUlJSk4cOH68EHH9TmzZuVkZGhl19+2eiIQKF8+eWXKlu2rIYNG2YfS09P17PPPmtgKsB1Jk2apI8++kj33HOPQkJC/vDSZxRvlCG4xaFDhyT9/vyVNWvW5LpnCPAkx44dU0REhCTp008/VfPmzTVjxgzt2bNHI0aMoAyh2Hv//ff19NNPq2zZsurTp4+uXr2qZ599Vt7e3pwNgkfYsGGD5s2bp9atWxsdBUWMMgS3ycrKUtWqVXXp0iXKEDyazWazX1KRmJhof95QxYoVeVgfPEK1atUUHx+vZ555Rl5eXvrkk0/k6+urBQsWqFSpUkbHAwotICBAVapUMToG3IDnDMFtSpQoocOHDxsdAyhyDRo00Lvvvqt169Zp9+7d9jJ08uRJhYSEGBsOcJHw8HC99957mjlzpvz9/bVo0SKKEDzG0KFDNX/+fF2/ft3oKChiLK0Nt5o8ebJ8fX310ksvGR0FKDKHDh3SqFGjdPr0afXt21dDhgyRJL355pu6ePGiZsyYYXBCwHldunTJ876J06dPKygoyL6CnPT7UvNAcXb9+nUNHjxY33//vapUqZLr2YfMcc/BZXJwq5ycHK1cuVLffPONGjRooJIlSzpsHzdunEHJANcJDw/Xxo0bc42PHj1aXl6ckEfx1L59e6MjAG4zZswYHThwQJ07d2YBBQ/HmSG4Va9evW65zWKxaNmyZW5MAwAAkFujRo0UHx+vpk2bGh0FRYwzQ3Crm8+eADxZeHj4H36KePDgQTemAVwvOztbv/zyi5KTkyVJoaGhqlWrlkqUKGFwMsA17rzzTgUEBBgdA27AmSEY4vjx4zpx4oSaNWsmf39/2Ww2TkHDY2zdutXh6+zsbB08eFBr167V0KFD1a1bN4OSAYVjtVo1e/ZsffDBB7py5YrDtjJlyqhHjx4aNmwYl4Oi2Pvyyy+1fPlyxcbGsqqch6MMwa3S0tL04osvaufOnbJYLNqyZYuqVq2qcePGqVy5cjx4FR5t48aNSkhI0Lvvvmt0FKBApk6dqrVr1+qFF15QdHS0fXXECxcuaMeOHZo9e7Yee+wxjRo1yuCkQOE0a9ZMGRkZysnJkb+/f66znrt27TIoGVyNMgS3Gj16tFJSUjRp0iQ9/PDD2rBhg6pWrart27drypQp+uSTT4yOCBSZpKQkde7cWXv37jU6ClAg9913n6ZMmaJWrVrluX379u0aM2aMvvnmGzcnA1zrz1aLe+yxx9yUBEWNe4bgVjt27NDixYt15513OozXqFFDp0+fNigVUPSuX7+uZcuWqXz58kZHAQrs2rVrfziHQ0NDlZGR4cZEQNHIb9lZuHChnnzySZUtW7aIE6GoUIbgVunp6Q7Porjp4sWL8vX1NSAR4HrNmjVzuAfOZrPp2rVr8vPz0/Tp0w1MBhRO8+bNNXXqVE2bNk1BQUEO21JTUzV9+nQ1b97coHSA+7333nt6+OGHKUPFGGUIbtW0aVOtW7dOL774on3MarUqPj5e99xzj3HBABcaN26cQxmyWCwKCgrS3XffrXLlyhmYDCic2NhY9e/fX61atVLdunUVHBwsSUpJSdGRI0dUq1YtLViwwOCUgPtwt0nxxz1DcKsjR46oT58+qlevnr799lu1bdtWv/zyiy5duqSVK1eqWrVqRkcEXOLGjRs6fPiwUlJSZLVaHba1a9fOoFRA4VmtVm3fvl0//vijLly4IEkKCQlRo0aNFB0dzUpyMJWoqCj7/c8onihDcLvLly9rxYoVOnTokNLT01WvXj316NGDeyngMb766iuNGTNGFy9ezPWpocVi4TlDAOAhKEPFH5fJwe38/Px03333KTw83P6J+U8//SSJT8zhGSZOnKiHHnpIgwcPti89DHiSffv2ae/evQ5nhqKiohQZGWlwMgBwDmUIbvXVV19p9OjRunTpEp+Yw2NduHBBffv2pQjB46SkpGjo0KH6/vvvValSJYd7huLi4tS4cWPNnTvXPg4AtzvKENxq4sSJevjhh/nEHB6tQ4cO2rlzJ/fAwePExsbKarUqISFBNWvWdNh29OhRjR8/XrGxsZozZ45BCQH3atq0qfz8/IyOgULgniG4VePGjbVu3Tr+kQiPlpGRoRdeeEFBQUGqW7eufHwcP3fq3bu3QcmAwomKitKKFStUr169PLfv379fvXr14sHC8BgpKSl5LoQTHh5uUCK4GmeG4FZ8Yg4z2LRpk3bs2CFfX1/t2rXLYZvFYqEModjy9fXV1atXb7n92rVrPDMOHmH//v0aO3asfv31V/tl/RaLRTabjcv6PQxnhuBWfGIOM7jvvvvUq1cv9e/fn2WG4VFiY2O1bds2jRs3Ti1atFBAQIAk6erVq0pMTFRcXJzatGmjV155xeCkQOF07txZ1apV03PPPafg4GCHZ8dJUuXKlQ1KBlfjzBDcik/MYQZZWVmKiYmhCMHjjBs3TlarVcOHD1dOTo5KlCgh6fc57+3trSeeeEJjxowxOCVQeElJSZo7d66qV69udBQUMc4Mwa34xBxmMHnyZAUFBen55583OgpQJK5evar9+/c7LK3doEED+5kioLgbNGiQHn30UXXo0MHoKChinBmCW/GJOczAarUqPj5eX3/9tcLCwnJdDjpu3DiDkgGuERAQoHvvvdf+9c37KABPMXHiRI0dO1Y///yz6tSpk+vvcZ6L6DkoQ3CrLl26KCEhgU/M4dEOHz6siIgISdKRI0cctvEPRniihg0bav369apVq5bRUQCX+OGHH/T999/rq6++yrWNBRQ8C5fJwa0mTpyodevWKTw8nE/MAaCYiYuLy3N82bJl6ty5s+644w5J/F2O4q9t27Z64IEHNGjQIJ6L6OE4MwS34hNzACi+li5dqvDwcJUpU8Zh3Gaz6ddff1XJkiX5uxweIS0tTX369KEImQBnhgAAQL4sXLhQH330kSZOnKgWLVrYx+vXr6/169erdu3aBqYDXGfMmDFq2rSpunXrZnQUFDHODAEAgHzp37+/7r33Xo0aNUpt27bViBEj7MtrA56kRo0amjFjhvbs2cNzET0cZ4YAAIBTrl27pjfeeEMHDx7U9OnT1bVrV61bt44zQ/AYbdu2veU2i8Wizz//3I1pUJQoQwAAoEA++eQTTZ48Wampqdq4cSNlCMXa1atXeVaWCfGwFwAAUCAdO3bUmjVrNHfuXFWqVCnX9rNnz8pqtRqQDHBes2bNlJKSIun3y+AuX75scCK4A2UIAAAU2J133qn27durVKlSubbFxMTo1KlTBqQCnFeqVCldvHhRkrRr1y5lZ2cbGwhuwQIKAACgSHAlPoqTli1bqnfv3qpZs6YkafDgwbdcIGTZsmXujIYiRBkCAACA6U2bNk1r167ViRMntHv3btWpU0f+/v5Gx0IRowwBAADA9Pz9/fXUU09Jkvbv36+XXnpJZcuWNTgVihplCAAAAPgfy5cvNzoC3IQFFAAAQJGwWCxGRwAKZOjQoVq4cGGu8UWLFmnYsGEGJEJRoQwBAIAiwQIKKK52796t1q1b5xq///779d133xmQCEWFMgQAAJySmpp6y22HDx+2/3dCQkKezx8Cbnfp6el5riTn4+Ojq1evGpAIRYUyBAAAnNKpUyd9+eWXucYXL16sbt262b+uWLGivL293ZgMcI26desqISEh13hCQoJq165tQCIUFRZQAAAATunTp4+GDh2qrl27aty4cbp06ZJGjx6tI0eOaMaMGUbHAwpt0KBBGjp0qJKSknTvvfdKkhITE/XJJ59o9uzZBqeDK1lsXNALAACc9J///EejR49WZmamLl26pMjISE2ePFmhoaFGRwNc4ssvv9R7772nQ4cOyc/PT2FhYRoyZIiaN29udDS4EGeGAACA06pVq6Y6depoy5YtkqSYmBiKEDzKAw88oAceeMDoGChi3DMEAACcsmfPHnXu3FnHjx/Xhg0b9Prrr+vNN9/Uiy++qEuXLhkdDwDyjcvkAACAUxo0aKA+ffrohRdesK+4deLECY0aNUpnzpzRV199ZXBCwHnNmzfX5s2bFRQUpGbNmv3hc7J27drlxmQoSlwmBwAAnPL+++/num+iWrVqWrlypd59912DUgGFM27cOAUEBNj/m4cGmwNnhgAAAACYEmeGAABAvv373//Wvn37FB0drSZNmigxMVHvv/++rFarHnzwQf31r381OiJQaAcOHJCPj4/CwsIkSVu3btXHH3+s2rVra8iQIfL19TU4IVyFBRQAAEC+fPjhhxoyZIi2bdum/v37a/369Ro8eLAqVKigypUra/LkyVq6dKnRMYFCe/XVV3Xs2DFJUlJSkoYPH66SJUtq8+bNmjZtmrHh4FKcGQIAAPmyfPlyvfbaa+revbu+/fZb9e/fX2PGjFGPHj0kSY0aNVJ8fLyeeeYZg5MChXPs2DFFRERIkj799FM1b95cM2bM0J49ezRixAi9/PLLBieEq3BmCAAA5MvJkycVHR0tSbr33ntltVrVrFkz+/bmzZvr9OnTRsUDXMZms8lqtUqSEhMTdf/990uSKlasqLS0NCOjwcUoQwAAIF/uuOMOe9k5d+6csrOzdebMGfv206dPq1y5ckbFA1ymQYMGevfdd7Vu3Trt3r3b/vDVkydPKiQkxNhwcCkukwMAAPnSrl07vfzyy+rSpYu++OILdenSRVOmTJHFYpHFYtHUqVN13333GR0TKLTx48dr1KhR2rp1q55//nlVr15dkvTZZ58pKirK4HRwJZbWBgAA+ZKenq64uDj98MMPioqK0oQJE7R8+XLNnDlT2dnZatasmWbNmqXg4GCjowJF4saNG/Ly8rI/bBjFH2UIAAAUyo0bN5SVlWV/YCUAFBeUIQAAUCQaN26s9evXq2rVqkZHAZwSHh4ui8Vyy+0HDx50YxoUJe4ZAgAARYLPW1FczZs3z+Hr7OxsHTx4UGvXrtXQoUMNSoWiQBkCAAAA/kf79u1zjT300EOqXbu2EhIS1K1bNwNSoSiwtDYAAACQD40aNdK3335rdAy4EGUIAAAA+BPXr1/XsmXLVL58eaOjwIW4TA4AABSJP7oBHbidNWvWzGH+2mw2Xbt2TX5+fpo+fbqByeBqlCEAAFAkWEABxdW4ceMcypDFYlFQUJDuvvtulStXzsBkcDWW1gYAAE6ZN2+e+vXrp5IlSzqMX79+XfHx8RoyZIgk6bvvvlNkZKR8fX2NiAkUyo0bN3T48GGlpKTIarU6bGvXrp1BqeBqlCEAAOCUiIgIff311woODnYYT0tLU8uWLXkGC4q9r776SmPGjNHFixdzneG0WCzMcQ/CZXIAAMApNpstz/uBDh06xCVE8AgTJ07UQw89pMGDByskJMToOChClCEAAJAvN28qt1gs6tChg0MhysnJUXp6up588kkDEwKuceHCBfXt25ciZAKUIQAAkC/jx4+XzWbT+PHjNXToUJUpU8a+rUSJEqpcubKioqIMTAi4RocOHbRz505Vq1bN6CgoYtwzBAAAnLJr1y41btxYPj58pgrPlJGRoRdeeEFBQUGqW7durrneu3dvg5LB1fhbDAAAOKV06dL69ddfFRYWJknaunWrPv74Y9WuXVtDhgxh9TgUe5s2bdKOHTvk6+urXbt2OWyzWCyUIQ/CmSEAAOCUxx9/XP3791eHDh2UlJSkmJgYPfjgg/rpp5/UunVrvfzyy0ZHBArlvvvuU69evdS/f395eXkZHQdFiJ8uAABwyrFjxxQRESFJ+vTTT9W8eXPNmDFDcXFx2rJli8HpgMLLyspSTEwMRcgE+AkDAACn2Gw2+0MoExMTdf/990uSKlasqLS0NCOjAS7RpUsXJSQkGB0DbsA9QwAAwCkNGjTQu+++qxYtWmj37t16/fXXJUknT55kKWJ4BKvVqvj4eH399dcKCwvLtYDCuHHjDEoGV6MMAQAAp4wfP16jRo3S1q1b9fzzz6t69eqSpM8++4ylteERDh8+bL8U9MiRIw7b8nrgMIovFlAAAAAucePGDXl5ealEiRJGRwGAfOGeIQAA4LTLly/rn//8p2bMmKGLFy9Kkn755RelpqYaGwwAnMBlcgAAwCmHDh1Snz59VLZsWZ06dUrdu3fXHXfcoS1btujMmTOaOnWq0REBIF84MwQAAJwyZcoUde3aVVu2bHF4wGrr1q313XffGZgMAJxDGQIAAE756aef9OSTT+Yar1ChgpKTkw1IBAAFQxkCAABO8fX11dWrV3ONHzt2TEFBQQYkAoCCoQwBAACntG3bVvPnz1dWVpZ97PTp05o+fboefPBBA5MBgHNYWhsAADjlypUrGjZsmPbv369r166pfPnyunDhgho1aqSFCxeqVKlSRkcEgHyhDAEAgALZs2ePDh06pPT0dNWvX18tW7Y0OhIAOIUyBAAAnLJu3TrFxMQ4rCQnSZmZmUpISFCXLl2MCQYATqIMAQAAp0REROjrr79WcHCww3haWppatmypgwcPGpQMAJzDAgoAAMApNptNFosl1/i5c+dUpkwZAxIBQMH4GB0AAAAUD126dJHFYpHFYtEzzzwjH5///jMiJydHJ0+eVKtWrQxMCADOoQwBAIB8ad++vSTp4MGDio6OVunSpe3bSpQoocqVK7O0NoBihXuGAACAU9auXauYmBj5+fn94X6bNm1S27ZtWWobwG2LMgQAAIpE48aNtX79elWtWtXoKACQJxZQAAAARYLPWwHc7ihDAAAAAEyJMgQAAADAlChDAAAAAEyJMgQAAADAlChDAACgSFSuXNnhwawAcLuhDAEAAKe0a9dOaWlpucYvX76sdu3a2b/etGmTKlas6M5oAOAUyhAAAHDKqVOnZLVac41nZmbq3LlzBiQCgILh3DUAAMiXzz//3P7f27dvV5kyZexfW61WJSYmqnLlykZEA4ACsdh4IhoAAMiH8PDwW27z8fFR5cqVNXbsWLVp08aNqQCg4ChDAADAKW3bttWaNWsUGBhodBQAKBTuGQIAAPmWlZWlqlWr6tKlS0ZHAYBCowwBAIB8K1GihA4fPmx0DABwCcoQAABwSufOnbV69WqjYwBAobGaHAAAcEpOTo5Wrlypb775Rg0aNFDJkiUdto8bN86gZADgHMoQAABwypEjR1SvXj1J0m+//eawzWKxGBEJAAqE1eQAAAAAmBL3DAEAgAI5fvy4tm/fruvXr0uS+HwVQHHDZXIAAMApaWlpevHFF7Vz505ZLBZt2bJFVatW1fjx41WuXDmNHTvW6IgAkC+cGQIAAE6Ji4uTj4+PvvzyS/n7+9vHY2JitH37dgOTAYBzODMEAACcsmPHDi1evFh33nmnw3iNGjV0+vRpg1IBgPM4MwQAAJySnp7ucEboposXL8rX19eARABQMJQhAADglKZNm2rdunUOY1arVfHx8brnnnuMCQUABcDS2gAAwClHjhxRnz59VK9ePX377bdq27atfvnlF126dEkrV65UtWrVjI4IAPlCGQIAAE67fPmyVqxYoUOHDik9PV316tVTjx49VL58eaOjAUC+UYYAAIDTbty4ocOHDyslJUVWq9VhW7t27QxKBQDOYTU5AADglK+++kqjR4/WpUuXcj1o1WKx6ODBgwYlA4D/184dmyoUBFEAnSdiAWINijW8XMHIBhRMTAyM7cUyxAo00A60BnMDQX4sPxoNHo89J93kRguX3ZkcL0MAQMpkMom6rmOz2cRgMGg6DsDXbJMDAFIej0esVitFCGg9ZQgASJlOp3G5XJqOAfAz3+QAgJTn8xnb7Tb6/X4Mh8Podj9HkJfLZUPJAHIsUAAAUg6HQ5zP5+j1enG9Xj/OqqpShoDW8DIEAKTUdR2LxSLW63V0On7cA+3lBgMAUl6vV8xmM0UIaD23GACQMp/P43g8Nh0D4GdmhgCAlPf7Hfv9Pk6nU4xGo38LFHa7XUPJAHKUIQAg5Xa7xXg8joiI+/3+cVZVVRORAL5igQIAAFAkM0MAAECRlCEAAKBIyhAAAFAkZQgAACiSMgQAABRJGQIAAIqkDAEAAEX6A6cxR0rYpJDvAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make bar chart for each checkpoint and task in df\n",
    "for task in tasks:\n",
    "    plt.clf()\n",
    "    plt.figure(figsize=(10, 7))\n",
    "    plt_title = (\n",
    "        task[\"task\"]\n",
    "        .replace(\"vocalset_s\", \"vocalset singer\")\n",
    "        .replace(\"vocalset_t\", \"vocalset tech\")\n",
    "        .replace(\"nsynth_i\", \"Nsynth instrument\")\n",
    "        .replace(\"nsynth_p\", \"Nsynth picth\")\n",
    "    )\n",
    "    plt.title(plt_title)\n",
    "    df_slice = df[df[\"task\"] == task[\"task\"]].copy().reset_index()\n",
    "    # print(df_slice)\n",
    "    plt_seires = df_slice[\"test_metric\"]\n",
    "    plt.bar(df_slice[\"checkpoint\"], plt_seires)\n",
    "    # print(df_slice[\"checkpoint\"])\n",
    "    for i in range(len(df_slice[\"checkpoint\"])):\n",
    "        plt.text(\n",
    "            df_slice[\"checkpoint\"][i], plt_seires[i], f\"{plt_seires[i]:.2}\", ha=\"center\"\n",
    "        )\n",
    "    # normalize y axis\n",
    "    plt.ylim(min(plt_seires) * 0.8, min(1, max(plt_seires) * 1.1))\n",
    "    # rotate x axis labels\n",
    "    plt.xticks(rotation=90)\n",
    "#     plt.savefig(\n",
    "#         f\"/home/tony/Work/tony/plots/{plt_title.replace(' ', '_')}.png\",\n",
    "#         bbox_inches=\"tight\",\n",
    "#     )\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make bar chart for each checkpoint and task in df\n",
    "plt.clf()\n",
    "plt.figure(figsize=(10, 7))\n",
    "plt.title(\"Eval tasks\")\n",
    "for task in tasks:\n",
    "    plt_title = (\n",
    "        task[\"task\"]\n",
    "        .replace(\"vocalset_s\", \"vocalset singer\")\n",
    "        .replace(\"vocalset_t\", \"vocalset tech\")\n",
    "        .replace(\"nsynth_i\", \"Nsynth instrument\")\n",
    "        .replace(\"nsynth_p\", \"Nsynth picth\")\n",
    "    )\n",
    "    df_slice = df[df[\"task\"] == task[\"task\"]].copy().reset_index()\n",
    "    plt_seires = df_slice[\"test_metric\"]\n",
    "    if task[\"task\"] == \"ctc\":\n",
    "        plt_seires = 1 - plt_seires\n",
    "    plt.plot(df_slice[\"checkpoint\"], plt_seires, label=f\"{plt_title}\")\n",
    "    # print(df_slice[\"checkpoint\"])\n",
    "    for i in range(len(df_slice[\"checkpoint\"])):\n",
    "        plt.text(\n",
    "            df_slice[\"checkpoint\"][i], plt_seires[i], f\"{plt_seires[i]:.2}\", ha=\"center\"\n",
    "        )\n",
    "plt.legend()\n",
    "# normalize y axis\n",
    "plt.ylim(0, 1)\n",
    "# rotate x axis labels\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
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