{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Select Preference Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:11:04.757824Z",
     "start_time": "2024-05-26T00:11:04.555293Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T13:49:16.982798Z",
     "iopub.status.busy": "2024-10-13T13:49:16.982494Z",
     "iopub.status.idle": "2024-10-13T13:49:17.130739Z",
     "shell.execute_reply": "2024-10-13T13:49:17.130326Z",
     "shell.execute_reply.started": "2024-10-13T13:49:16.982780Z"
    }
   },
   "outputs": [],
   "source": [
    "# setup tailscale if you haven't\n",
    "# https://tailscale.com/kb/1031/install-linux\n",
    "!sudo tailscale up --accept-routes=true\n",
    "\n",
    "# setup autoload\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:11:08.392310Z",
     "start_time": "2024-05-26T00:11:04.759383Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T13:49:17.131558Z",
     "iopub.status.busy": "2024-10-13T13:49:17.131364Z",
     "iopub.status.idle": "2024-10-13T13:49:20.062161Z",
     "shell.execute_reply": "2024-10-13T13:49:20.061790Z",
     "shell.execute_reply.started": "2024-10-13T13:49:17.131544Z"
    }
   },
   "outputs": [],
   "source": [
    "# make sure sqlalchemy is >=2\n",
    "# pip install psycopg2-binary\n",
    "# pip install \"sqlalchemy>=2\"\n",
    "import os\n",
    "import datetime\n",
    "from collections import defaultdict, Counter\n",
    "import json\n",
    "from urllib.parse import quote\n",
    "import time\n",
    "\n",
    "import boto3\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import sqlalchemy\n",
    "from sqlalchemy.pool import QueuePool\n",
    "import tqdm\n",
    "from botocore.exceptions import ClientError\n",
    "from suno_analytics.preference_helper import get_preference_counts\n",
    "from suno_analytics.preference_data_selection import (\n",
    "    gather_data,\n",
    "    gather_data_with_snowflake,\n",
    "    plot_clip_distribution,\n",
    "    parse_metadata_for_basics,\n",
    "    get_concat_clip_ids,\n",
    "    validate_preference_data,\n",
    "    run_bot_detection,\n",
    "    print_out_value_counts_nicely,\n",
    "    merge_concat_clips_with_reactions,\n",
    "    plot_clip_basic_distributions,\n",
    ")\n",
    "\n",
    "\n",
    "# setup some pandas display stuff\n",
    "pd.set_option(\"display.max_rows\", 500)\n",
    "pd.set_option(\"display.max_columns\", 500)\n",
    "pd.set_option(\"display.width\", 1000)\n",
    "\n",
    "\n",
    "def get_secret():\n",
    "    secret_name = \"rds!cluster-a3b66c33-40a7-47dd-bd6e-32b1c17c9124\"\n",
    "    region_name = \"us-east-2\"\n",
    "    # Create a Secrets Manager client\n",
    "    session = boto3.session.Session()\n",
    "    client = session.client(service_name=\"secretsmanager\", region_name=region_name)\n",
    "    try:\n",
    "        get_secret_value_response = client.get_secret_value(SecretId=secret_name)\n",
    "    except ClientError as e:\n",
    "        raise e\n",
    "    secret = get_secret_value_response[\"SecretString\"]\n",
    "    return json.loads(secret)\n",
    "\n",
    "\n",
    "my_secrets = get_secret()\n",
    "\n",
    "# alternative...\n",
    "engine = sqlalchemy.create_engine(\n",
    "    \"postgresql://postgres:%s@suno-main-pgdb-prod-analytics.cnfvffydbwvc.us-east-2.rds.amazonaws.com/suno_main\"\n",
    "    % quote(my_secrets[\"password\"]),\n",
    ")\n",
    "\n",
    "\n",
    "home_dir = os.path.expanduser(\"~\")\n",
    "snow_password_path = os.path.join(home_dir, \".aws\", \"snow_pw.txt\")\n",
    "if os.path.exists(snow_password_path):\n",
    "    # !pip install snowflake\n",
    "    from snowflake.core import Root\n",
    "    from snowflake.snowpark import Session\n",
    "\n",
    "    with open(snow_password_path, \"r\") as fp:\n",
    "        fp_lines = fp.readlines()\n",
    "        snow_password = fp_lines[0].strip()\n",
    "        snow_username = fp_lines[1].strip()\n",
    "\n",
    "    CONNECTION_PARAMETERS = {\n",
    "        \"account\": \"fu90569.us-east-2.aws\",\n",
    "        \"user\": snow_username,\n",
    "        \"password\": snow_password,\n",
    "        \"role\": \"ACCOUNTADMIN\",\n",
    "        \"database\": \"SUNO_PROD\",\n",
    "        \"warehouse\": \"SUNO_PROD_LARGE\",\n",
    "        \"schema\": \"PROD\",\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Validate some info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:11:08.550447Z",
     "start_time": "2024-05-26T00:11:08.397196Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T13:49:20.062907Z",
     "iopub.status.busy": "2024-10-13T13:49:20.062674Z",
     "iopub.status.idle": "2024-10-13T13:49:20.078002Z",
     "shell.execute_reply": "2024-10-13T13:49:20.077735Z",
     "shell.execute_reply.started": "2024-10-13T13:49:20.062894Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-10-09 15:20:00\n"
     ]
    }
   ],
   "source": [
    "# there are 4 hr time difference between eastern time and utc\n",
    "# cutoff_date = \"2024-08-26 21:00:00\"  # v4-t3 out\n",
    "# cutoff_date = \"2024-09-12 21:00:00\"  # covers beta out\n",
    "cutoff_date = \"2024-10-09 15:20:00\"  # 30b t5 out\n",
    "# cutoff_date = (datetime.datetime.now() - datetime.timedelta(hours=4)).astimezone(datetime.timezone.utc).strftime(\"%Y-%m-%d %H:%M:%S\")\n",
    "print(cutoff_date)\n",
    "\n",
    "target_model_name = \"chirp-v3p5-engine-t-5\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:11:09.349857Z",
     "start_time": "2024-05-26T00:11:08.551408Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T13:49:20.078642Z",
     "iopub.status.busy": "2024-10-13T13:49:20.078396Z",
     "iopub.status.idle": "2024-10-13T13:49:20.342662Z",
     "shell.execute_reply": "2024-10-13T13:49:20.342002Z",
     "shell.execute_reply.started": "2024-10-13T13:49:20.078630Z"
    }
   },
   "outputs": [],
   "source": [
    "df_all_tables = pd.read_sql_query(\n",
    "    \"SELECT table_name FROM information_schema.tables WHERE table_schema = 'public'\",\n",
    "    engine,\n",
    ")\n",
    "# should have all the basic table names here\n",
    "assert df_all_tables[\"table_name\"].nunique() >= 61"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Query the DB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T13:49:20.343932Z",
     "iopub.status.busy": "2024-10-13T13:49:20.343502Z",
     "iopub.status.idle": "2024-10-13T13:49:20.728689Z",
     "shell.execute_reply": "2024-10-13T13:49:20.728074Z",
     "shell.execute_reply.started": "2024-10-13T13:49:20.343915Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROD\n"
     ]
    }
   ],
   "source": [
    "if not os.path.exists(snow_password_path):\n",
    "    raise Exception(\"you are not authorized to access snowflake -- please setup\")\n",
    "\n",
    "snow_session = Session.builder.configs(CONNECTION_PARAMETERS).create()\n",
    "\n",
    "snow_root = Root(snow_session)\n",
    "snow_schema = snow_root.databases[\"SUNO_PROD\"].schemas[\"PROD\"]\n",
    "print(snow_schema.name)\n",
    "\n",
    "from snowflake.snowpark.functions import col\n",
    "# !pip install \"snowflake-connector-python[pandas]\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T13:49:20.730944Z",
     "iopub.status.busy": "2024-10-13T13:49:20.730466Z",
     "iopub.status.idle": "2024-10-13T14:00:39.216125Z",
     "shell.execute_reply": "2024-10-13T14:00:39.215401Z",
     "shell.execute_reply.started": "2024-10-13T13:49:20.730928Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Start gather data from 2024-10-09 15:20:00\n",
      "Bots Action: 19,040,134 rows\n",
      " ---- Execution time: 18.67 seconds\n",
      "Reactions: 19,726,821 rows\n",
      " ---- Execution time: 25.68 seconds\n",
      "Discord Info: 323,707 rows\n",
      "subscription_status\n",
      "active      307856\n",
      "past_due     15851\n",
      "Name: count, dtype: int64\n",
      " ---- Execution time: 5.29 seconds\n",
      "Playlist Clips: 240,737 rows\n",
      " ---- Execution time: 2.25 seconds\n",
      "Total Clips: 19,904,254 rows\n",
      " ---- Execution time: 323.33 seconds\n"
     ]
    }
   ],
   "source": [
    "# gathered_data = gather_data(engine, cutoff_date)\n",
    "gathered_data = gather_data_with_snowflake(snow_session, cutoff_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:00:39.217313Z",
     "iopub.status.busy": "2024-10-13T14:00:39.217012Z",
     "iopub.status.idle": "2024-10-13T14:00:39.629582Z",
     "shell.execute_reply": "2024-10-13T14:00:39.628925Z",
     "shell.execute_reply.started": "2024-10-13T14:00:39.217296Z"
    }
   },
   "outputs": [],
   "source": [
    "bots_action_df = gathered_data[\"bots_action_df\"]\n",
    "reaction_df = gathered_data[\"reaction_df\"]\n",
    "total_clip_df = gathered_data[\"total_clip_df\"]\n",
    "playlist_clip_df = gathered_data[\"playlist_clip_df\"]\n",
    "discord_info_df = gathered_data[\"discord_info_df\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:00:39.630662Z",
     "iopub.status.busy": "2024-10-13T14:00:39.630423Z",
     "iopub.status.idle": "2024-10-13T14:01:11.957326Z",
     "shell.execute_reply": "2024-10-13T14:01:11.956621Z",
     "shell.execute_reply.started": "2024-10-13T14:00:39.630647Z"
    }
   },
   "outputs": [],
   "source": [
    "# parse out the necessary metadata early\n",
    "total_clip_df[[\"continued_parent\", \"duration\", \"source\", \"clip_type\", \"task\"]] = (\n",
    "    pd.DataFrame(\n",
    "        total_clip_df[\"metadata\"].map(parse_metadata_for_basics).tolist(),\n",
    "        index=total_clip_df.index,\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:01:11.958623Z",
     "iopub.status.busy": "2024-10-13T14:01:11.958199Z",
     "iopub.status.idle": "2024-10-13T14:01:32.276782Z",
     "shell.execute_reply": "2024-10-13T14:01:32.276189Z",
     "shell.execute_reply.started": "2024-10-13T14:01:11.958606Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total clips: 19904254\n",
      "gen: 18973590 (95.32%)\n",
      "stem: 605474 (3.04%)\n",
      "upload: 168185 (0.84%)\n",
      "concat: 121099 (0.61%)\n",
      "edit_crop: 19970 (0.10%)\n",
      "concat_infilling: 15936 (0.08%)\n",
      "total without model: 774190\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of hours: 94\n",
      "Average clips per hour: 211747.38\n",
      "Max clips in an hour: 268902\n",
      "Min clips in an hour: 159221\n"
     ]
    }
   ],
   "source": [
    "# filter on versions\n",
    "clip_df = total_clip_df.copy()\n",
    "total_clip_counts = clip_df.shape[0]\n",
    "print(f\"total clips: {total_clip_counts}\")\n",
    "print_out_value_counts_nicely(clip_df, \"clip_type\")\n",
    "# check the number of audio uploads\n",
    "upload_clip_df = total_clip_df[total_clip_df[\"clip_type\"] == \"upload\"].copy()\n",
    "stem_clip_df = total_clip_df[total_clip_df[\"clip_type\"] == \"stem\"].copy()\n",
    "print(\"total without model:\", (total_clip_df[\"model_name\"] == \"\").sum())\n",
    "\n",
    "# Call the function\n",
    "plot_clip_distribution(total_clip_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Proceed with feature engineering and cleaning up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:01:32.277807Z",
     "iopub.status.busy": "2024-10-13T14:01:32.277545Z",
     "iopub.status.idle": "2024-10-13T14:01:32.758482Z",
     "shell.execute_reply": "2024-10-13T14:01:32.757806Z",
     "shell.execute_reply.started": "2024-10-13T14:01:32.277791Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of upvoates: 1,954,401 rows\n",
      "number of flagged reports: 31,952 rows\n"
     ]
    }
   ],
   "source": [
    "upvoted_df = reaction_df[reaction_df[\"reaction_type\"] == \"L\"].copy()\n",
    "print(f\"number of upvoates: {upvoted_df.shape[0]:,} rows\")\n",
    "upvoted_ids = upvoted_df[\"clip_id\"]\n",
    "\n",
    "flagged_df = reaction_df[reaction_df[\"flagged\"]].copy()\n",
    "print(f\"number of flagged reports: {flagged_df.shape[0]:,} rows\")\n",
    "flagged_ids = flagged_df[\"clip_id\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:01:32.759695Z",
     "iopub.status.busy": "2024-10-13T14:01:32.759266Z",
     "iopub.status.idle": "2024-10-13T14:01:33.636591Z",
     "shell.execute_reply": "2024-10-13T14:01:33.635914Z",
     "shell.execute_reply.started": "2024-10-13T14:01:32.759678Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reactions fraction by pro user:\n",
      "False: 12358792 (62.65%)\n",
      "True: 7368029 (37.35%)\n",
      "------------\n",
      "Clip generated fraction by pro user:\n",
      "False: 10934581 (54.94%)\n",
      "True: 8969673 (45.06%)\n"
     ]
    }
   ],
   "source": [
    "# this is probably the right way to figure out the pro user group\n",
    "pro_users = set(discord_info_df[\"user_id\"].unique())\n",
    "reaction_df[\"is_pro_user\"] = reaction_df[\"user_id\"].isin(pro_users)\n",
    "clip_df[\"is_pro_user\"] = clip_df[\"user_id\"].isin(pro_users)\n",
    "\n",
    "# this is very interesting....\n",
    "# reaction check\n",
    "print(\"Reactions fraction by pro user:\")\n",
    "print_out_value_counts_nicely(reaction_df, \"is_pro_user\")\n",
    "print(\"------------\")\n",
    "# clip check\n",
    "print(\"Clip generated fraction by pro user:\")\n",
    "print_out_value_counts_nicely(clip_df, \"is_pro_user\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:01:33.637903Z",
     "iopub.status.busy": "2024-10-13T14:01:33.637371Z",
     "iopub.status.idle": "2024-10-13T14:01:34.115112Z",
     "shell.execute_reply": "2024-10-13T14:01:34.114443Z",
     "shell.execute_reply.started": "2024-10-13T14:01:33.637885Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "stem parent ids: 302098\n"
     ]
    }
   ],
   "source": [
    "# find out the stem parent ids\n",
    "stem_parent_ids = set(\n",
    "    stem_clip_df[\"metadata\"].apply(lambda x: x.get(\"stem_from_id\", \"xxx\"))\n",
    ")\n",
    "print(\"stem parent ids:\", len(stem_parent_ids))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:23:12.019778Z",
     "start_time": "2024-05-26T00:22:57.637371Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:01:34.116315Z",
     "iopub.status.busy": "2024-10-13T14:01:34.115927Z",
     "iopub.status.idle": "2024-10-13T14:01:40.110126Z",
     "shell.execute_reply": "2024-10-13T14:01:40.109466Z",
     "shell.execute_reply.started": "2024-10-13T14:01:34.116298Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clips in a splaylist:\n",
      "False: 19760940 (99.28%)\n",
      "True: 143314 (0.72%)\n",
      "------------\n",
      "Clips has stem children:\n",
      "False: 19607130 (98.51%)\n",
      "True: 297124 (1.49%)\n"
     ]
    }
   ],
   "source": [
    "# add clip is in playlist feature\n",
    "clip_df[\"is_in_playlist\"] = clip_df[\"id\"].isin(playlist_clip_df[\"clip_id\"].unique())\n",
    "print(\"Clips in a splaylist:\")\n",
    "print_out_value_counts_nicely(clip_df, \"is_in_playlist\")\n",
    "clip_df[\"has_stems\"] = clip_df[\"id\"].astype(str).isin(stem_parent_ids)\n",
    "print(\"------------\")\n",
    "print(\"Clips has stem children:\")\n",
    "print_out_value_counts_nicely(clip_df, \"has_stems\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:23:17.912428Z",
     "start_time": "2024-05-26T00:23:12.021726Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:01:40.111323Z",
     "iopub.status.busy": "2024-10-13T14:01:40.110929Z",
     "iopub.status.idle": "2024-10-13T14:01:46.731301Z",
     "shell.execute_reply": "2024-10-13T14:01:46.730626Z",
     "shell.execute_reply.started": "2024-10-13T14:01:40.111307Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "clips that have children: 1988849 \n",
      "clips that are parents: 338593 \n",
      " Average continues from clip =  5.87\n",
      "web: 19490149 (98.64%)\n",
      "ios: 268389 (1.36%)\n"
     ]
    }
   ],
   "source": [
    "# parse the metadata for histories and types\n",
    "clip_history_df = clip_df[~clip_df[\"continued_parent\"].isna()].copy()\n",
    "# these are the direct parent's ids -- not grandparents\n",
    "has_continued_children_ids = clip_history_df[\"continued_parent\"]\n",
    "print(\n",
    "    \"clips that have children:\",\n",
    "    len(has_continued_children_ids),\n",
    "    \"\\nclips that are parents:\",\n",
    "    has_continued_children_ids.nunique(),\n",
    "    \"\\n\",\n",
    "    \"Average continues from clip = \",\n",
    "    round(\n",
    "        len(has_continued_children_ids) / len(has_continued_children_ids.unique()), 2\n",
    "    ),\n",
    ")\n",
    "# Get value counts\n",
    "print_out_value_counts_nicely(clip_df, \"source\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:23:22.092835Z",
     "start_time": "2024-05-26T00:23:17.914456Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:01:46.732375Z",
     "iopub.status.busy": "2024-10-13T14:01:46.732120Z",
     "iopub.status.idle": "2024-10-13T14:01:57.536153Z",
     "shell.execute_reply": "2024-10-13T14:01:57.535458Z",
     "shell.execute_reply.started": "2024-10-13T14:01:46.732359Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total uploads: 774190\n",
      "clips without request id: 930664\n",
      "clips without request id: 930664 clip_type\n",
      "stem                605474\n",
      "upload              168185\n",
      "concat              121099\n",
      "edit_crop            19970\n",
      "concat_infilling     15936\n",
      "Name: count, dtype: int64\n",
      "Clips without request id (concat, uploads...) frac = 0.00688\n"
     ]
    }
   ],
   "source": [
    "print(\"total uploads:\", (clip_df[\"model_name\"] == \"\").sum())\n",
    "print(\"clips without request id:\", (clip_df[\"request_id\"].isna()).sum())\n",
    "# the nans are concats, we want to drop them for now\n",
    "concated_clips = clip_df[\n",
    "    (clip_df[\"clip_type\"] == \"concat\") | (clip_df[\"clip_type\"] == \"concat_infilling\")\n",
    "].copy()\n",
    "non_request_clips = clip_df[clip_df[\"request_id\"].isna()].copy()\n",
    "print(\n",
    "    \"clips without request id:\",\n",
    "    non_request_clips.shape[0],\n",
    "    non_request_clips[\"clip_type\"].value_counts(),\n",
    ")\n",
    "# need to kick them out...\n",
    "clip_df = clip_df[~clip_df[\"request_id\"].isna()]\n",
    "print(\n",
    "    f\"Clips without request id (concat, uploads...) frac = {concated_clips.shape[0] / total_clip_counts:.5f}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:23:22.833148Z",
     "start_time": "2024-05-26T00:23:22.094796Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:01:57.537256Z",
     "iopub.status.busy": "2024-10-13T14:01:57.536985Z",
     "iopub.status.idle": "2024-10-13T14:01:58.379057Z",
     "shell.execute_reply": "2024-10-13T14:01:58.378396Z",
     "shell.execute_reply.started": "2024-10-13T14:01:57.537240Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "chirp-v3p5-engine-s-8: 14518239 (76.52%)\n",
      "chirp-v3p5-engine-t-5: 1663985 (8.77%)\n",
      "chirp-v3p5-engine-upload-4: 809276 (4.27%)\n",
      "chirp-v3p5-engine-s-29: 770935 (4.06%)\n",
      "chirp-v3p5-engine-b: 657615 (3.47%)\n",
      "chirp-v3-engine-i: 378214 (1.99%)\n",
      "chirp-v3p5-engine-t-3: 63026 (0.33%)\n",
      "chirp-v2-xxl-alpha: 58918 (0.31%)\n",
      "chirp-v3-5: 33005 (0.17%)\n",
      "chirp-v3p5-engine-ft-1: 9237 (0.05%)\n",
      "chirp-v2-engine-msft-60s: 8681 (0.05%)\n",
      "chirp-v3-0: 1166 (0.01%)\n",
      "chirp-v3p5-engine-short: 972 (0.01%)\n",
      "chirp-v3-5-tau: 159 (0.00%)\n",
      "chirp-v3-5-upload: 144 (0.00%)\n",
      "chirp-v3-5|chirp-v3-0: 12 (0.00%)\n",
      "chirp-v3-5-short: 6 (0.00%)\n"
     ]
    }
   ],
   "source": [
    "# check the model conts\n",
    "print_out_value_counts_nicely(clip_df, \"model_name\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:23:26.317699Z",
     "start_time": "2024-05-26T00:23:22.835074Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:01:58.380086Z",
     "iopub.status.busy": "2024-10-13T14:01:58.379848Z",
     "iopub.status.idle": "2024-10-13T14:02:08.910388Z",
     "shell.execute_reply": "2024-10-13T14:02:08.909713Z",
     "shell.execute_reply.started": "2024-10-13T14:01:58.380070Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-filter model type clip_df shape: (18973590, 36)\n",
      "post-filter model type clip_df shape: (18939110, 36)\n",
      "chirp-v3p5-engine-s-8: 14518239 (76.66%)\n",
      "chirp-v3p5-engine-t-5: 1663985 (8.79%)\n",
      "chirp-v3p5-engine-upload-4: 809276 (4.27%)\n",
      "chirp-v3p5-engine-s-29: 770935 (4.07%)\n",
      "chirp-v3p5-engine-b: 657615 (3.47%)\n",
      "chirp-v3-engine-i: 378214 (2.00%)\n",
      "chirp-v3p5-engine-t-3: 63026 (0.33%)\n",
      "chirp-v2-xxl-alpha: 58918 (0.31%)\n",
      "chirp-v3p5-engine-ft-1: 9237 (0.05%)\n",
      "chirp-v2-engine-msft-60s: 8681 (0.05%)\n",
      "chirp-v3p5-engine-short: 972 (0.01%)\n",
      "chirp-v3-5|chirp-v3-0: 12 (0.00%)\n"
     ]
    }
   ],
   "source": [
    "print(\"pre-filter model type clip_df shape:\", clip_df.shape)\n",
    "clip_df = clip_df[\n",
    "    (clip_df[\"model_name\"] != \"chirp-v3-5\")\n",
    "    & (clip_df[\"model_name\"] != \"chirp-v3-0\")\n",
    "    & (clip_df[\"model_name\"] != \"chirp-v3-5-tau\")\n",
    "    & (clip_df[\"model_name\"] != \"chirp-v3-5-upload\")\n",
    "    & (clip_df[\"model_name\"] != \"chirp-v3-5-short\")\n",
    "]\n",
    "print(\"post-filter model type clip_df shape:\", clip_df.shape)\n",
    "print_out_value_counts_nicely(clip_df, \"model_name\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:08.911454Z",
     "iopub.status.busy": "2024-10-13T14:02:08.911189Z",
     "iopub.status.idle": "2024-10-13T14:02:13.246453Z",
     "shell.execute_reply": "2024-10-13T14:02:13.245761Z",
     "shell.execute_reply.started": "2024-10-13T14:02:08.911438Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "concat reactions: 359470 unique concat clips: 96106\n",
      "total concats (137035, 39)\n",
      "check \n",
      "        reaction_play_count  reaction_upvote_count  reaction_dislike_count\n",
      "count         96106.000000           96106.000000            96106.000000\n",
      "mean              7.653851               0.319657                0.026752\n",
      "std             253.561351               3.079267                0.222837\n",
      "min               1.000000               0.000000                0.000000\n",
      "25%               1.000000               0.000000                0.000000\n",
      "50%               2.000000               0.000000                0.000000\n",
      "75%               3.000000               0.000000                0.000000\n",
      "max           53344.000000             273.000000               23.000000\n",
      "All concats 137035\n",
      "total concats with plays 96106\n"
     ]
    }
   ],
   "source": [
    "concated_clips = merge_concat_clips_with_reactions(concated_clips, reaction_df)\n",
    "# TODO: why so many clips are concats without plays??? -- oh probably they concat multiple times?\n",
    "print(\"All concats\", concated_clips.shape[0])\n",
    "concated_clips = concated_clips[concated_clips[\"reaction_play_count\"] > 0]\n",
    "print(\"total concats with plays\", concated_clips.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:23:38.974479Z",
     "start_time": "2024-05-26T00:23:34.385507Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:13.247565Z",
     "iopub.status.busy": "2024-10-13T14:02:13.247305Z",
     "iopub.status.idle": "2024-10-13T14:02:16.989966Z",
     "shell.execute_reply": "2024-10-13T14:02:16.989259Z",
     "shell.execute_reply.started": "2024-10-13T14:02:13.247548Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "8180it [00:00, 23230.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "65af4bca-c8f8-47ec-87d0-bef6d9215cf9 chirp-v3p5-engine-s-8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "16349it [00:00, 26082.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "caad62b2-78ff-4ff1-b724-e1c46776db0e chirp-v3p5-engine-upload-4\n",
      "f484c8b2-c0e5-477c-9b37-8476dfc3d502 chirp-v3p5-engine-s-8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "29929it [00:01, 26976.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "62242841-1b58-4849-a6a7-1a8e520d5a28 chirp-v3p5-engine-upload-4\n",
      "3db90712-2f64-475c-95de-c6672a87738c chirp-v3p5-engine-s-8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "35333it [00:01, 26956.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "462d9daa-3269-44b2-9792-e185d6b4a989 chirp-v3p5-engine-upload-4\n",
      "67fbcc3d-4f45-4477-8710-8eaae8e80659 chirp-v3p5-engine-s-8\n",
      "89631302-653e-4b0f-ac8f-872fbd58a130 chirp-v3p5-engine-s-8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "40747it [00:01, 27000.10it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "c6d5244e-267b-44e3-a5fd-05a4d6771c1c chirp-v3p5-engine-upload-4\n",
      "ae2af7c0-4362-4221-a2cf-8ebff64502e2 chirp-v3p5-engine-s-8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "48850it [00:01, 26974.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "96c42375-2a35-4c1d-806a-44e5ac630131 chirp-v3p5-engine-s-8\n",
      "ba3a7770-e5ff-4515-af11-9f253397dfb1 chirp-v3p5-engine-s-29\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "62355it [00:02, 26933.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b1c9a780-b608-4f6f-b849-4c6cdfaa2087 chirp-v3-engine-i\n",
      "214fbc02-80bf-45b8-babf-8d34c966c67c chirp-v3p5-engine-upload-4\n",
      "143bd129-bb06-4570-b710-61c2ae2723ca chirp-v3p5-engine-s-8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "73170it [00:02, 26985.44it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0941eadf-a5dd-49e7-8562-b1bc19c47935 chirp-v3p5-engine-upload-4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "78569it [00:03, 26934.92it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "f4fc2c34-4d18-41de-b1bf-9c3ab77641a7 chirp-v3p5-engine-s-8\n",
      "b10ea19d-460d-4698-850f-00bf18535f71 chirp-v3p5-engine-s-8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "89371it [00:03, 26977.89it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "697299fe-2419-4e5b-bab8-bb6ba9960f20 chirp-v3p5-engine-s-8\n",
      "6dcf37f6-9008-4f83-87f7-9f91cf74dcea chirp-v3p5-engine-s-8\n",
      "af6b169c-31ce-416f-9b2c-857c2e2bd8f0 chirp-v3p5-engine-s-8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "96106it [00:03, 26187.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "80587fe3-2f60-47b5-93a4-96e771937ec4 chirp-v3p5-engine-s-8\n",
      "total concat unique clips are: 181366 with error: 1, duplicate 20246 \n",
      " uploads are in concats 606 frac 0.004\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "concat_clips_ids = get_concat_clip_ids(concated_clips, clip_df, upload_clip_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:23:40.236690Z",
     "start_time": "2024-05-26T00:23:39.995713Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:16.991253Z",
     "iopub.status.busy": "2024-10-13T14:02:16.990789Z",
     "iopub.status.idle": "2024-10-13T14:02:18.194667Z",
     "shell.execute_reply": "2024-10-13T14:02:18.193986Z",
     "shell.execute_reply.started": "2024-10-13T14:02:16.991236Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    1.893911e+07\n",
      "mean     3.301442e+02\n",
      "std      1.428314e+03\n",
      "min      1.000000e+00\n",
      "25%      1.200000e+01\n",
      "50%      3.000000e+01\n",
      "75%      1.730000e+02\n",
      "max      2.458800e+04\n",
      "Name: user_n_clips, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# set user number of clips generated\n",
    "clip_df[\"user_n_clips\"] = clip_df[\"user_id\"].map(clip_df[\"user_id\"].value_counts())\n",
    "print(clip_df[\"user_n_clips\"].describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:23:44.826860Z",
     "start_time": "2024-05-26T00:23:40.238330Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:18.197906Z",
     "iopub.status.busy": "2024-10-13T14:02:18.197616Z",
     "iopub.status.idle": "2024-10-13T14:02:21.965744Z",
     "shell.execute_reply": "2024-10-13T14:02:21.965092Z",
     "shell.execute_reply.started": "2024-10-13T14:02:18.197889Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "has upvoted upvoted\n",
      "False    18078171\n",
      "True       860939\n",
      "Name: count, dtype: int64 upvoted\n",
      "False    0.954542\n",
      "True     0.045458\n",
      "Name: proportion, dtype: float64 upvote_count\n",
      "False    0.958478\n",
      "True     0.041522\n",
      "Name: proportion, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# add upvoted column\n",
    "clip_df[\"upvoted\"] = clip_df[\"id\"].isin(upvoted_ids)\n",
    "print(\n",
    "    \"has upvoted\",\n",
    "    clip_df[\"upvoted\"].value_counts(),\n",
    "    clip_df[\"upvoted\"].value_counts(normalize=True),\n",
    "    (clip_df[\"upvote_count\"] >= 1).value_counts(normalize=True),\n",
    ")\n",
    "# clip_df = clip_df.drop(columns=['upvote_count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:23:48.404433Z",
     "start_time": "2024-05-26T00:23:44.857788Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:21.966920Z",
     "iopub.status.busy": "2024-10-13T14:02:21.966507Z",
     "iopub.status.idle": "2024-10-13T14:02:28.948484Z",
     "shell.execute_reply": "2024-10-13T14:02:28.947828Z",
     "shell.execute_reply.started": "2024-10-13T14:02:21.966904Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "downvoted fraction by category:\n",
      "False: 18257506 (96.40%)\n",
      "True: 681604 (3.60%)\n"
     ]
    }
   ],
   "source": [
    "disliked_ids = reaction_df[reaction_df[\"reaction_type\"] == \"D\"][\"clip_id\"].unique()\n",
    "\n",
    "clip_df[\"downvoted\"] = clip_df[\"id\"].isin(disliked_ids)\n",
    "print(\"downvoted fraction by category:\")\n",
    "print_out_value_counts_nicely(clip_df, \"downvoted\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:23:56.590022Z",
     "start_time": "2024-05-26T00:23:48.405668Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:28.949523Z",
     "iopub.status.busy": "2024-10-13T14:02:28.949266Z",
     "iopub.status.idle": "2024-10-13T14:02:34.454113Z",
     "shell.execute_reply": "2024-10-13T14:02:34.453442Z",
     "shell.execute_reply.started": "2024-10-13T14:02:28.949505Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "has_continued fraction by category:\n",
      "False: 18794469 (99.24%)\n",
      "True: 144641 (0.76%)\n"
     ]
    }
   ],
   "source": [
    "# add continued column -- uuid and str are not compatible X.x\n",
    "clip_df[\"has_continued\"] = (\n",
    "    clip_df[\"id\"].astype(str).isin(set(list(has_continued_children_ids)))\n",
    ")\n",
    "print(\"has_continued fraction by category:\")\n",
    "print_out_value_counts_nicely(clip_df, \"has_continued\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:34.455165Z",
     "iopub.status.busy": "2024-10-13T14:02:34.454907Z",
     "iopub.status.idle": "2024-10-13T14:02:34.585042Z",
     "shell.execute_reply": "2024-10-13T14:02:34.584377Z",
     "shell.execute_reply.started": "2024-10-13T14:02:34.455148Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "has upvoted in exp 0.04546\n",
      "has downvoted out of exp 0.03599\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    \"has upvoted in exp\",\n",
    "    # clip_df[in_exp_mask][\"upvoted\"].value_counts(),\n",
    "    round(clip_df[\"upvoted\"].value_counts(normalize=True)[True], 5),\n",
    "    # (clip_df[clip_df[\"in_fe_exp\"]][\"upvote_count\"] >= 1).value_counts(normalize=True),\n",
    ")\n",
    "print(\n",
    "    \"has downvoted out of exp\",\n",
    "    # clip_df[out_exp_mask][\"downvoted\"].value_counts(),\n",
    "    round(clip_df[\"downvoted\"].value_counts(normalize=True)[True], 5),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:04.704306Z",
     "start_time": "2024-05-26T00:23:56.591353Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:34.586082Z",
     "iopub.status.busy": "2024-10-13T14:02:34.585834Z",
     "iopub.status.idle": "2024-10-13T14:02:38.887388Z",
     "shell.execute_reply": "2024-10-13T14:02:38.886699Z",
     "shell.execute_reply.started": "2024-10-13T14:02:34.586066Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "part_of_concat fraction by category:\n",
      "False: 18806165 (99.30%)\n",
      "True: 132945 (0.70%)\n",
      "------------\n",
      "Model distribution for part_of_concat clips:\n",
      "chirp-v3p5-engine-s-8: 63.36%\n",
      "chirp-v3p5-engine-t-5: 17.46%\n",
      "chirp-v3p5-engine-upload-4: 10.21%\n",
      "chirp-v3p5-engine-s-29: 4.44%\n",
      "chirp-v3-engine-i: 3.21%\n",
      "chirp-v3p5-engine-t-3: 0.91%\n",
      "chirp-v2-xxl-alpha: 0.25%\n",
      "chirp-v3p5-engine-b: 0.11%\n",
      "chirp-v3p5-engine-ft-1: 0.05%\n"
     ]
    }
   ],
   "source": [
    "# add concat column\n",
    "clip_df[\"part_of_concat\"] = clip_df[\"id\"].astype(str).isin(concat_clips_ids)\n",
    "print(\"part_of_concat fraction by category:\")\n",
    "print_out_value_counts_nicely(clip_df, \"part_of_concat\")\n",
    "\n",
    "print(\"------------\")\n",
    "print(\"Model distribution for part_of_concat clips:\")\n",
    "for model, fraction in (\n",
    "    clip_df[clip_df[\"part_of_concat\"]][\"model_name\"]\n",
    "    .value_counts(normalize=True)\n",
    "    .items()\n",
    "):\n",
    "    print(f\"{model}: {fraction:.2%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:09.954233Z",
     "start_time": "2024-05-26T00:24:04.705554Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:38.888808Z",
     "iopub.status.busy": "2024-10-13T14:02:38.888244Z",
     "iopub.status.idle": "2024-10-13T14:02:41.688329Z",
     "shell.execute_reply": "2024-10-13T14:02:41.687669Z",
     "shell.execute_reply.started": "2024-10-13T14:02:38.888790Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "has_action fraction by category:\n",
      "False: 18898943 (99.79%)\n",
      "True: 40167 (0.21%)\n"
     ]
    }
   ],
   "source": [
    "# verify bots action are all non-empty\n",
    "action_mask = (\n",
    "    bots_action_df[\"download_audio_count\"]\n",
    "    + bots_action_df[\"download_video_count\"]\n",
    "    + bots_action_df[\"download_audio_wav_count\"]\n",
    "    # + bots_action_df[\"share_count\"] # will remove share cause it can be negative, just can be...\n",
    ") >= 1\n",
    "has_action_ids = set(i for i in bots_action_df[action_mask][\"clip_id\"].unique())\n",
    "clip_df[\"has_action\"] = clip_df[\"id\"].isin(has_action_ids)\n",
    "print(\"has_action fraction by category:\")\n",
    "print_out_value_counts_nicely(clip_df, \"has_action\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:14.579841Z",
     "start_time": "2024-05-26T00:24:09.955568Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:41.689394Z",
     "iopub.status.busy": "2024-10-13T14:02:41.689146Z",
     "iopub.status.idle": "2024-10-13T14:02:43.148424Z",
     "shell.execute_reply": "2024-10-13T14:02:43.147768Z",
     "shell.execute_reply.started": "2024-10-13T14:02:41.689379Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "flagged fraction by category:\n",
      "False: 18914660 (99.87%)\n",
      "True: 24450 (0.13%)\n"
     ]
    }
   ],
   "source": [
    "# add downvoted column\n",
    "clip_df[\"flagged\"] = clip_df[\"id\"].isin(flagged_ids)\n",
    "print(\"flagged fraction by category:\")\n",
    "print_out_value_counts_nicely(clip_df, \"flagged\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:43.149688Z",
     "iopub.status.busy": "2024-10-13T14:02:43.149213Z",
     "iopub.status.idle": "2024-10-13T14:02:43.232597Z",
     "shell.execute_reply": "2024-10-13T14:02:43.231951Z",
     "shell.execute_reply.started": "2024-10-13T14:02:43.149671Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "deleted fraction by category:\n",
      "False: 16332089 (86.23%)\n",
      "True: 2607021 (13.77%)\n"
     ]
    }
   ],
   "source": [
    "clip_df[\"deleted\"] = clip_df[\"is_deleted\"]\n",
    "print(\"deleted fraction by category:\")\n",
    "print_out_value_counts_nicely(clip_df, \"deleted\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:15.382315Z",
     "start_time": "2024-05-26T00:24:14.581073Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:43.233789Z",
     "iopub.status.busy": "2024-10-13T14:02:43.233368Z",
     "iopub.status.idle": "2024-10-13T14:02:45.436384Z",
     "shell.execute_reply": "2024-10-13T14:02:45.435699Z",
     "shell.execute_reply.started": "2024-10-13T14:02:43.233772Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total clips: 18,939,110\n",
      "Must be positive: 1,061,376 (5.60%)\n",
      "Definitely not negative: 15,692,203 (82.86%)\n",
      "Must be negative: 3,246,907 (17.14%)\n"
     ]
    }
   ],
   "source": [
    "# This is probably the most important cell of this notebook -- what are good labels, and not having good label makes it a bad label\n",
    "must_be_positive_mask = (\n",
    "    (clip_df[\"upvoted\"])\n",
    "    | (clip_df[\"has_action\"])\n",
    "    | (clip_df[\"part_of_concat\"])\n",
    "    | (clip_df[\"is_in_playlist\"])\n",
    ")\n",
    "must_be_not_negative_mask = (\n",
    "    (~clip_df[\"downvoted\"]) & (~clip_df[\"deleted\"]) & (~clip_df[\"flagged\"])\n",
    ")\n",
    "must_be_negative_mask = (\n",
    "    (clip_df[\"downvoted\"]) | (clip_df[\"flagged\"]) | (clip_df[\"deleted\"])\n",
    ")\n",
    "total_clips_count = clip_df.shape[0]\n",
    "must_be_positive_count = sum(must_be_positive_mask)\n",
    "definitely_not_negative_count = sum(must_be_not_negative_mask)\n",
    "must_be_negative_count = sum(must_be_negative_mask)\n",
    "\n",
    "print(\n",
    "    f\"Total clips: {total_clips_count:,}\\n\"\n",
    "    f\"Must be positive: {must_be_positive_count:,} ({must_be_positive_count/total_clips_count:.2%})\\n\"\n",
    "    f\"Definitely not negative: {definitely_not_negative_count:,} ({definitely_not_negative_count/total_clips_count:.2%})\\n\"\n",
    "    f\"Must be negative: {must_be_negative_count:,} ({must_be_negative_count/total_clips_count:.2%})\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:31.095990Z",
     "start_time": "2024-05-26T00:24:15.383572Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:02:45.437443Z",
     "iopub.status.busy": "2024-10-13T14:02:45.437207Z",
     "iopub.status.idle": "2024-10-13T14:03:18.388104Z",
     "shell.execute_reply": "2024-10-13T14:03:18.387395Z",
     "shell.execute_reply.started": "2024-10-13T14:02:45.437427Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Liked requests: 828,566\n",
      "Not liked requests: 9,378,351\n",
      "Requests with preference paired generations: 656,473\n",
      "Percentage of total unique requests: 6.87%\n"
     ]
    }
   ],
   "source": [
    "mask = must_be_positive_mask & must_be_not_negative_mask\n",
    "total_unique_requests = clip_df[\"request_id\"].nunique()\n",
    "liked_requests = clip_df[mask][\"request_id\"].unique()  # requests with at least 1 like\n",
    "unliked_requests = clip_df[~mask][\"request_id\"].unique()  # requests without like\n",
    "has_liked_requests = set(liked_requests).intersection(\n",
    "    set(unliked_requests)\n",
    ")  # the request must have 1 like and one without like\n",
    "print(f\"Liked requests: {len(liked_requests):,}\")\n",
    "print(f\"Not liked requests: {len(unliked_requests):,}\")\n",
    "print(f\"Requests with preference paired generations: {len(has_liked_requests):,}\")\n",
    "print(\n",
    "    f\"Percentage of total unique requests: {len(has_liked_requests) / total_unique_requests:.2%}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:03:18.389375Z",
     "iopub.status.busy": "2024-10-13T14:03:18.388957Z",
     "iopub.status.idle": "2024-10-13T14:03:39.501035Z",
     "shell.execute_reply": "2024-10-13T14:03:39.500335Z",
     "shell.execute_reply.started": "2024-10-13T14:03:18.389358Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Disliked requests: 1,904,887\n",
      "Not disliked requests: 8,178,194\n",
      "Requests with preference paired generations: 532,637\n",
      "Percentage of total unique requests: 5.58%\n"
     ]
    }
   ],
   "source": [
    "# introduce a negative preference count\n",
    "has_disliked_half_requests = clip_df[must_be_negative_mask][\n",
    "    \"request_id\"\n",
    "].unique()  # requests with at least 1 dislike\n",
    "not_have_disliked_requests = clip_df[~must_be_negative_mask][\n",
    "    \"request_id\"\n",
    "].unique()  # request without dislike\n",
    "has_disliked_requests = set(has_disliked_half_requests).intersection(\n",
    "    set(not_have_disliked_requests)\n",
    ")  # the request must have 1 dislike and one without dislike\n",
    "print(f\"Disliked requests: {len(has_disliked_half_requests):,}\")\n",
    "print(f\"Not disliked requests: {len(not_have_disliked_requests):,}\")\n",
    "print(f\"Requests with preference paired generations: {len(has_disliked_requests):,}\")\n",
    "print(\n",
    "    f\"Percentage of total unique requests: {len(has_disliked_requests) / total_unique_requests:.2%}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:31.099372Z",
     "start_time": "2024-05-26T00:24:31.097244Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:03:39.502150Z",
     "iopub.status.busy": "2024-10-13T14:03:39.501872Z",
     "iopub.status.idle": "2024-10-13T14:03:39.599116Z",
     "shell.execute_reply": "2024-10-13T14:03:39.598423Z",
     "shell.execute_reply.started": "2024-10-13T14:03:39.502133Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total selected pairs of requests: 1,030,704\n",
      "Percentage of total unique requests: 10.79%\n"
     ]
    }
   ],
   "source": [
    "requests = has_liked_requests.union(has_disliked_requests)\n",
    "print(f\"Total selected pairs of requests: {len(requests):,}\")\n",
    "print(\n",
    "    f\"Percentage of total unique requests: {len(requests) / total_unique_requests:.2%}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:31.239254Z",
     "start_time": "2024-05-26T00:24:31.100389Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:03:39.600203Z",
     "iopub.status.busy": "2024-10-13T14:03:39.599947Z",
     "iopub.status.idle": "2024-10-13T14:03:39.765562Z",
     "shell.execute_reply": "2024-10-13T14:03:39.764888Z",
     "shell.execute_reply.started": "2024-10-13T14:03:39.600186Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference in preference counts:\n",
      "0: 14,700,420 (77.62%)\n",
      "-1: 3,246,907 (17.14%)\n",
      "1: 991,783 (5.24%)\n"
     ]
    }
   ],
   "source": [
    "# this used to be a terrible bug...X.x\n",
    "assert mask.shape[0] == clip_df.shape[0]\n",
    "clip_df[\"pos_preference\"] = mask\n",
    "clip_df[\"neg_preference\"] = must_be_negative_mask\n",
    "# note that this is along the same row, so a positive clip can't be negative\n",
    "clip_df[\"diff_preference\"] = clip_df[\"pos_preference\"].astype(int) - clip_df[\n",
    "    \"neg_preference\"\n",
    "].astype(int)\n",
    "print(\"Difference in preference counts:\")\n",
    "value_counts = clip_df[\"diff_preference\"].value_counts()\n",
    "total = value_counts.sum()\n",
    "for value, count in value_counts.items():\n",
    "    fraction = count / total\n",
    "    print(f\"{value}: {count:,} ({fraction:.2%})\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:37.322031Z",
     "start_time": "2024-05-26T00:24:31.240829Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:03:39.766782Z",
     "iopub.status.busy": "2024-10-13T14:03:39.766366Z",
     "iopub.status.idle": "2024-10-13T14:03:47.064354Z",
     "shell.execute_reply": "2024-10-13T14:03:47.063665Z",
     "shell.execute_reply.started": "2024-10-13T14:03:39.766766Z"
    }
   },
   "outputs": [],
   "source": [
    "# creation of interesting_clips\n",
    "interesting_clips = clip_df[clip_df[\"request_id\"].isin(requests)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:03:47.065444Z",
     "iopub.status.busy": "2024-10-13T14:03:47.065190Z",
     "iopub.status.idle": "2024-10-13T14:03:53.614298Z",
     "shell.execute_reply": "2024-10-13T14:03:53.613711Z",
     "shell.execute_reply.started": "2024-10-13T14:03:47.065430Z"
    }
   },
   "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>request_id</th>\n",
       "      <th>pos_preference</th>\n",
       "      <th>neg_preference</th>\n",
       "      <th>diff_preference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000005e6-41e7-4f12-af97-35da84ba785b</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000005e6-41e7-4f12-af97-35da84ba785b</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00000bf0-434f-41dc-bd87-44b518126bf9</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>00000bf0-434f-41dc-bd87-44b518126bf9</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00001e20-4a30-4327-919b-355556c59a17</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>00001e20-4a30-4327-919b-355556c59a17</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             request_id  pos_preference  neg_preference  diff_preference\n",
       "0  000005e6-41e7-4f12-af97-35da84ba785b           False           False                0\n",
       "1  000005e6-41e7-4f12-af97-35da84ba785b            True           False                1\n",
       "2  00000bf0-434f-41dc-bd87-44b518126bf9           False            True               -1\n",
       "3  00000bf0-434f-41dc-bd87-44b518126bf9           False           False                0\n",
       "4  00001e20-4a30-4327-919b-355556c59a17           False           False                0\n",
       "5  00001e20-4a30-4327-919b-355556c59a17            True           False                1"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interesting_clips = interesting_clips.sort_values(\n",
    "    by=[\"request_id\", \"diff_preference\"]\n",
    ").reset_index()\n",
    "interesting_clips[\n",
    "    [\"request_id\", \"pos_preference\", \"neg_preference\", \"diff_preference\"]\n",
    "].head(n=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:03:53.615427Z",
     "iopub.status.busy": "2024-10-13T14:03:53.615090Z",
     "iopub.status.idle": "2024-10-13T14:03:53.644177Z",
     "shell.execute_reply": "2024-10-13T14:03:53.643655Z",
     "shell.execute_reply.started": "2024-10-13T14:03:53.615412Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference 0: 872,298 (42.32%)\n",
      "Difference 1: 656,473 (31.85%)\n",
      "Difference -1: 532,637 (25.84%)\n"
     ]
    }
   ],
   "source": [
    "# this is a mix now\n",
    "value_counts = interesting_clips[\"diff_preference\"].value_counts()\n",
    "total = value_counts.sum()\n",
    "for value, count in value_counts.items():\n",
    "    fraction = count / total\n",
    "    print(f\"Difference {value}: {count:,} ({fraction:.2%})\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:03:53.645241Z",
     "iopub.status.busy": "2024-10-13T14:03:53.644859Z",
     "iopub.status.idle": "2024-10-13T14:03:53.701723Z",
     "shell.execute_reply": "2024-10-13T14:03:53.701092Z",
     "shell.execute_reply.started": "2024-10-13T14:03:53.645225Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Value 1.0: 872,298 (84.63%)\n",
      "Value 2.0: 158,406 (15.37%)\n"
     ]
    }
   ],
   "source": [
    "diff_series = interesting_clips[\"diff_preference\"].diff()\n",
    "value_counts = diff_series[1::2].value_counts()\n",
    "total = value_counts.sum()\n",
    "for value, count in value_counts.items():\n",
    "    fraction = count / total\n",
    "    print(f\"Value {value}: {count:,} ({fraction:.2%})\")\n",
    "# 1 is pos, not neg pair or nothing, neg; 2 is pos / neg (hence the larger difference)\n",
    "# there are only two values for this positive pair\n",
    "assert diff_series[1::2].nunique() == 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:38.960130Z",
     "start_time": "2024-05-26T00:24:37.323369Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:03:53.702838Z",
     "iopub.status.busy": "2024-10-13T14:03:53.702460Z",
     "iopub.status.idle": "2024-10-13T14:04:02.827895Z",
     "shell.execute_reply": "2024-10-13T14:04:02.827186Z",
     "shell.execute_reply.started": "2024-10-13T14:03:53.702822Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unique request_ids: 1,030,704\n",
      "Number of unique ids: 2,061,408\n",
      "Validation passed!\n"
     ]
    }
   ],
   "source": [
    "# assign the labels now\n",
    "interesting_clips[\"preference\"] = interesting_clips.index % 2 == 1\n",
    "# get df of requests -- let's move on!\n",
    "print(f\"Number of unique request_ids: {interesting_clips['request_id'].nunique():,}\")\n",
    "print(f\"Number of unique ids: {interesting_clips['id'].nunique():,}\")\n",
    "validate_preference_data(interesting_clips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:43.332222Z",
     "start_time": "2024-05-26T00:24:43.166461Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:02.828993Z",
     "iopub.status.busy": "2024-10-13T14:04:02.828738Z",
     "iopub.status.idle": "2024-10-13T14:04:02.850538Z",
     "shell.execute_reply": "2024-10-13T14:04:02.850034Z",
     "shell.execute_reply.started": "2024-10-13T14:04:02.828977Z"
    }
   },
   "outputs": [],
   "source": [
    "# # listen to some pairs\n",
    "# test_requests = interesting_clips[\"request_id\"].sample(10)\n",
    "\n",
    "# for i in range(1):\n",
    "#     rows = interesting_clips[interesting_clips[\"request_id\"] == test_requests.iloc[i]]\n",
    "#     assert rows.shape[0] == 2\n",
    "#     # Audio.from_s3(f\"s3://suno-data-uploads/studio/uploads/{row['s3_id']}.mp3\").play()\n",
    "#     # sort by likes\n",
    "#     rows = rows.sort_values(\"upvoted\", ascending=True)\n",
    "#     print(rows.iloc[0][\"prompt_text\"])\n",
    "#     print(rows.iloc[0][\"metadata\"])\n",
    "#     for _, row in rows.iterrows():\n",
    "#         print(row[\"id\"], row[\"preference\"], row[\"upvoted\"])\n",
    "#         Audio.from_s3(\n",
    "#             f\"s3://suno-data-uploads/studio/uploads/{row['s3_id']}.mp3\"\n",
    "#         ).play()\n",
    "#         with open_from_s3(\n",
    "#             f\"s3://suno-data-uploads/studio/uploads/{row['s3_id']}.npz\", as_binary=True\n",
    "#         ) as f:\n",
    "#             # read numpy array\n",
    "#             npz_a = np.load(f)\n",
    "#             if \"v1_raw\" in npz_a:\n",
    "#                 a = np.load(f)[\"v1_raw\"]\n",
    "#             elif \"v3.0_raw\" in npz_a:\n",
    "#                 a = np.load(f)[\"v3.0_raw\"]\n",
    "#             else:\n",
    "#                 print(\"npz_a\", npz_a)\n",
    "#                 raise ValueError\n",
    "#             print(a.shape)\n",
    "#     print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Further cuts and selections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:02.851582Z",
     "iopub.status.busy": "2024-10-13T14:04:02.851252Z",
     "iopub.status.idle": "2024-10-13T14:04:28.235353Z",
     "shell.execute_reply": "2024-10-13T14:04:28.234638Z",
     "shell.execute_reply.started": "2024-10-13T14:04:02.851568Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of interesting clips: 2,061,408\n",
      "Unique request and clip counts in interesting_clips:\n",
      "Request IDs:    1,030,704\n",
      "Clip IDs:       2,061,408\n"
     ]
    }
   ],
   "source": [
    "# need the reaction play counts\n",
    "# Filter reaction_df for relevant clip_ids\n",
    "partial_reaction_df = reaction_df[\n",
    "    reaction_df[\"clip_id\"].isin(set(interesting_clips[\"id\"]))\n",
    "].copy()\n",
    "\n",
    "# Calculate total play counts\n",
    "total_play_counts = (\n",
    "    partial_reaction_df.groupby(\"clip_id\")[\"play_count\"].sum().reset_index()\n",
    ")\n",
    "total_play_counts = total_play_counts.rename(\n",
    "    columns={\"clip_id\": \"id\", \"play_count\": \"reaction_play_count\"}\n",
    ")\n",
    "\n",
    "# Calculate pro user play counts\n",
    "pro_play_counts = (\n",
    "    partial_reaction_df[partial_reaction_df[\"is_pro_user\"]]\n",
    "    .groupby(\"clip_id\")[\"play_count\"]\n",
    "    .sum()\n",
    "    .reset_index()\n",
    ")\n",
    "pro_play_counts = pro_play_counts.rename(\n",
    "    columns={\"clip_id\": \"id\", \"play_count\": \"reaction_pro_play_count\"}\n",
    ")\n",
    "\n",
    "# Merge with user_intersting_clips\n",
    "interesting_clips = interesting_clips.merge(total_play_counts, on=\"id\", how=\"left\")\n",
    "interesting_clips = interesting_clips.merge(pro_play_counts, on=\"id\", how=\"left\")\n",
    "\n",
    "print(f\"Number of interesting clips: {len(interesting_clips):,}\")\n",
    "# Get unique counts for request_id and id\n",
    "unique_request_ids = interesting_clips[\"request_id\"].nunique()\n",
    "unique_clip_ids = interesting_clips[\"id\"].nunique()\n",
    "\n",
    "# Print the results in a formatted manner\n",
    "print(\"Unique request and clip counts in interesting_clips:\")\n",
    "print(f\"{'Request IDs:':<15} {unique_request_ids:,}\")\n",
    "print(f\"{'Clip IDs:':<15} {unique_clip_ids:,}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:43.737067Z",
     "start_time": "2024-05-26T00:24:43.563216Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:28.236460Z",
     "iopub.status.busy": "2024-10-13T14:04:28.236187Z",
     "iopub.status.idle": "2024-10-13T14:04:28.300528Z",
     "shell.execute_reply": "2024-10-13T14:04:28.299749Z",
     "shell.execute_reply.started": "2024-10-13T14:04:28.236444Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Preference counts and fractions by batch index:\n",
      "--------------------------------------------------\n",
      "Batch Index: 0\n",
      "  Preference False: Count: 523,600 Fraction: 50.80%\n",
      "  Preference True: Count: 507,104 Fraction: 49.20%\n",
      "\n",
      "Batch Index: 1\n",
      "  Preference False: Count: 507,104 Fraction: 49.20%\n",
      "  Preference True: Count: 523,600 Fraction: 50.80%\n",
      "\n"
     ]
    }
   ],
   "source": [
    "preference_counts = interesting_clips.groupby(\"batch_index\")[\n",
    "    \"preference\"\n",
    "].value_counts()\n",
    "total_counts = preference_counts.groupby(level=0).sum()\n",
    "\n",
    "print(\"Preference counts and fractions by batch index:\")\n",
    "print(\"-\" * 50)\n",
    "for batch_index in [0, 1]:\n",
    "    print(f\"Batch Index: {batch_index}\")\n",
    "    for preference in [False, True]:\n",
    "        count = preference_counts[batch_index, preference]\n",
    "        fraction = count / total_counts[batch_index]\n",
    "        print(f\"  Preference {preference}: Count: {count:,} Fraction: {fraction:.2%}\")\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:44.304573Z",
     "start_time": "2024-05-26T00:24:43.973218Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:28.301701Z",
     "iopub.status.busy": "2024-10-13T14:04:28.301342Z",
     "iopub.status.idle": "2024-10-13T14:04:28.413442Z",
     "shell.execute_reply": "2024-10-13T14:04:28.412782Z",
     "shell.execute_reply.started": "2024-10-13T14:04:28.301685Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "chirp-v3p5-engine-s-8: 1532595 (74.35%)\n",
      "chirp-v3p5-engine-t-5: 269577 (13.08%)\n",
      "chirp-v3p5-engine-upload-4: 111244 (5.40%)\n",
      "chirp-v3p5-engine-s-29: 98062 (4.76%)\n",
      "chirp-v3-engine-i: 30470 (1.48%)\n",
      "chirp-v3p5-engine-t-3: 12288 (0.60%)\n",
      "chirp-v2-xxl-alpha: 4714 (0.23%)\n",
      "chirp-v3p5-engine-b: 1454 (0.07%)\n",
      "chirp-v3p5-engine-ft-1: 888 (0.04%)\n",
      "chirp-v3p5-engine-short: 116 (0.01%)\n"
     ]
    }
   ],
   "source": [
    "print_out_value_counts_nicely(interesting_clips, \"model_name\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:44.533983Z",
     "start_time": "2024-05-26T00:24:44.305722Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:28.414494Z",
     "iopub.status.busy": "2024-10-13T14:04:28.414262Z",
     "iopub.status.idle": "2024-10-13T14:04:28.491607Z",
     "shell.execute_reply": "2024-10-13T14:04:28.490928Z",
     "shell.execute_reply.started": "2024-10-13T14:04:28.414477Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time Validation:\n",
      "--------------------\n",
      "Interesting Clips:\n",
      "  Earliest: 2024-10-09 15:20:00.052000\n",
      "  Latest:   2024-10-13 12:59:59.717000\n",
      "\n",
      "All Clips:\n",
      "  Earliest: 2024-10-09 15:20:00.018000\n",
      "  Latest:   2024-10-13 12:59:59.916000\n"
     ]
    }
   ],
   "source": [
    "print(\"Time Validation:\")\n",
    "print(\"-\" * 20)\n",
    "print(\"Interesting Clips:\")\n",
    "print(f\"  Earliest: {interesting_clips['created_at'].min()}\")\n",
    "print(f\"  Latest:   {interesting_clips['created_at'].max()}\")\n",
    "print(\"\\nAll Clips:\")\n",
    "print(f\"  Earliest: {clip_df['created_at'].min()}\")\n",
    "print(f\"  Latest:   {clip_df['created_at'].max()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:50.674838Z",
     "start_time": "2024-05-26T00:24:46.366677Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:28.492693Z",
     "iopub.status.busy": "2024-10-13T14:04:28.492444Z",
     "iopub.status.idle": "2024-10-13T14:04:32.208699Z",
     "shell.execute_reply": "2024-10-13T14:04:32.207984Z",
     "shell.execute_reply.started": "2024-10-13T14:04:28.492677Z"
    }
   },
   "outputs": [],
   "source": [
    "# make sure we sort here before proceed\n",
    "interesting_clips = interesting_clips.sort_values(by=[\"request_id\", \"preference\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:51.600621Z",
     "start_time": "2024-05-26T00:24:50.676186Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:32.209856Z",
     "iopub.status.busy": "2024-10-13T14:04:32.209590Z",
     "iopub.status.idle": "2024-10-13T14:04:33.757814Z",
     "shell.execute_reply": "2024-10-13T14:04:33.757148Z",
     "shell.execute_reply.started": "2024-10-13T14:04:32.209839Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ratio of preferred clips to total clips for each model:\n",
      "------------------------------------------------------------\n",
      "chirp-v2-engine-msft-60s       nan% ± nan%\n",
      "chirp-v2-xxl-alpha             4.00% ± 0.08%\n",
      "chirp-v3-5|chirp-v3-0          nan% ± nan%\n",
      "chirp-v3-engine-i              4.03% ± 0.03%\n",
      "chirp-v3p5-engine-b            0.11% ± 0.00%\n",
      "chirp-v3p5-engine-ft-1         4.81% ± 0.22%\n",
      "chirp-v3p5-engine-s-29         6.36% ± 0.03%\n",
      "chirp-v3p5-engine-s-8          5.28% ± 0.01%\n",
      "chirp-v3p5-engine-short        5.97% ± 0.76%\n",
      "chirp-v3p5-engine-t-3          9.22% ± 0.12%\n",
      "chirp-v3p5-engine-t-5          8.12% ± 0.02%\n",
      "chirp-v3p5-engine-upload-4     6.87% ± 0.03%\n"
     ]
    }
   ],
   "source": [
    "# Calculate the ratio of preferred clips to total clips for each model\n",
    "clip_df_model_counts = clip_df[\"model_name\"].value_counts()\n",
    "preference_ratio = (\n",
    "    interesting_clips[interesting_clips[\"preference\"]][\"model_name\"].value_counts()\n",
    "    / clip_df_model_counts\n",
    ")\n",
    "\n",
    "# Print the results in a formatted manner\n",
    "print(\"Ratio of preferred clips to total clips for each model:\")\n",
    "print(\"-\" * 60)\n",
    "for model, ratio in preference_ratio.items():\n",
    "    n = clip_df_model_counts[model]\n",
    "    uncertainty = (ratio * (1 - ratio) / n) ** 0.5\n",
    "    print(f\"{model:<30} {ratio:.2%} ± {uncertainty:.2%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:56.302599Z",
     "start_time": "2024-05-26T00:24:51.601863Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:33.759103Z",
     "iopub.status.busy": "2024-10-13T14:04:33.758629Z",
     "iopub.status.idle": "2024-10-13T14:04:39.555905Z",
     "shell.execute_reply": "2024-10-13T14:04:39.555193Z",
     "shell.execute_reply.started": "2024-10-13T14:04:33.759088Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len pos models: 1030704\n",
      "differing counts: 12259\n",
      "chirp-v2-xxl-alpha_win_over_chirp-v2-xxl-alpha, win ratio 1.000, (1.000, 1.000), counts 2357, total 2357.\n",
      "chirp-v3-engine-i_win_over_chirp-v3-engine-i, win ratio 1.000, (1.000, 1.000), counts 15235, total 15235.\n",
      "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 727, total 727.\n",
      "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 444, total 444.\n",
      "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, (1.000, 1.000), counts 49030, total 49030.\n",
      "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-8, win ratio 0.500, (-0.193, 1.193), counts 1, total 2.\n",
      "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-29, win ratio 0.500, (-0.193, 1.193), counts 1, total 2.\n",
      "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 766296, total 766296.\n",
      "chirp-v3p5-engine-short_win_over_chirp-v3p5-engine-short, win ratio 1.000, (1.000, 1.000), counts 58, total 58.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, (1.000, 1.000), counts 16, total 16.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5, win ratio 0.473, (0.464, 0.482), counts 5797, total 12256.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-3, win ratio 0.527, (0.518, 0.536), counts 6459, total 12256.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 128660, total 128660.\n",
      "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, (1.000, 1.000), counts 55622, total 55622.\n",
      "tournament players: ['chirp-v3p5-engine-s-29', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-5']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:00<00:00, 1037.03it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ELOs\n",
      "chirp-v3p5-engine-s-29: 1000.0, (697, 1477)\n",
      "chirp-v3p5-engine-s-8: 1000.0, (253, 1180)\n",
      "chirp-v3p5-engine-t-3: 990.6, (987, 1270)\n",
      "chirp-v3p5-engine-t-5: 1009.4, (1006, 1290)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x1800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_preference_counts(interesting_clips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:57.443236Z",
     "start_time": "2024-05-26T00:24:56.306473Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:39.557026Z",
     "iopub.status.busy": "2024-10-13T14:04:39.556768Z",
     "iopub.status.idle": "2024-10-13T14:04:40.612699Z",
     "shell.execute_reply": "2024-10-13T14:04:40.612128Z",
     "shell.execute_reply.started": "2024-10-13T14:04:39.557010Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<__array_function__ internals>:180: RuntimeWarning: Converting input from bool to <class 'numpy.uint8'> for compatibility.\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1600x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_clip_basic_distributions(interesting_clips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:58.153310Z",
     "start_time": "2024-05-26T00:24:57.858363Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:40.613731Z",
     "iopub.status.busy": "2024-10-13T14:04:40.613497Z",
     "iopub.status.idle": "2024-10-13T14:04:40.634619Z",
     "shell.execute_reply": "2024-10-13T14:04:40.634137Z",
     "shell.execute_reply.started": "2024-10-13T14:04:40.613715Z"
    }
   },
   "outputs": [],
   "source": [
    "# FUCK THIS FOR NOW\n",
    "# MAX_PREFERENCE_PER_USER = 400\n",
    "# grouped_interesting_clips = interesting_clips.groupby([\"user_id\"])\n",
    "# user_top_df = (\n",
    "#     interesting_clips.sort_values(\n",
    "#         [\"preference\", \"upvote_count\", \"part_of_concat\", \"is_in_playlist\"], ascending=False\n",
    "#     )\n",
    "#     .groupby(\"user_id\")\n",
    "#     .head(MAX_PREFERENCE_PER_USER)\n",
    "# )\n",
    "# print(user_top_df.shape, interesting_clips.shape)\n",
    "\n",
    "# user_top_requests = user_top_df[\"request_id\"].unique()\n",
    "# user_intersting_clips = interesting_clips[\n",
    "#     interesting_clips[\"request_id\"].isin(user_top_requests)\n",
    "# ].copy()\n",
    "# print(user_intersting_clips.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:58.890520Z",
     "start_time": "2024-05-26T00:24:58.154350Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:40.635462Z",
     "iopub.status.busy": "2024-10-13T14:04:40.635268Z",
     "iopub.status.idle": "2024-10-13T14:04:50.739970Z",
     "shell.execute_reply": "2024-10-13T14:04:50.739289Z",
     "shell.execute_reply.started": "2024-10-13T14:04:40.635449Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of clips in interesting_clips:\n",
      "2,061,408\n",
      "Number of clips in user_interesting_clips:\n",
      "1,923,452\n",
      "Ratio of preferred clips to total clips for each model:\n",
      "------------------------------------------------------------\n",
      "chirp-v2-engine-msft-60s       nan% ± nan%\n",
      "chirp-v2-xxl-alpha             nan% ± nan%\n",
      "chirp-v3-5|chirp-v3-0          nan% ± nan%\n",
      "chirp-v3-engine-i              nan% ± nan%\n",
      "chirp-v3p5-engine-b            0.05% ± 0.00%\n",
      "chirp-v3p5-engine-ft-1         4.53% ± 0.22%\n",
      "chirp-v3p5-engine-s-29         6.04% ± 0.03%\n",
      "chirp-v3p5-engine-s-8          4.99% ± 0.01%\n",
      "chirp-v3p5-engine-short        5.35% ± 0.72%\n",
      "chirp-v3p5-engine-t-3          9.00% ± 0.11%\n",
      "chirp-v3p5-engine-t-5          7.82% ± 0.02%\n",
      "chirp-v3p5-engine-upload-4     6.68% ± 0.03%\n"
     ]
    }
   ],
   "source": [
    "# subselect interesting clips\n",
    "interesting_clips_masks = (interesting_clips[\"model_name\"].str.contains(\"v3p5\")) & (\n",
    "    interesting_clips[\"reaction_play_count\"] > 0\n",
    ")\n",
    "# make sure we have pairs\n",
    "extra_compare_mask = interesting_clips[interesting_clips_masks][\"request_id\"].isin(\n",
    "    interesting_clips[interesting_clips_masks][\"request_id\"]\n",
    "    .value_counts()\n",
    "    .index[interesting_clips[interesting_clips_masks][\"request_id\"].value_counts() == 2]\n",
    ")\n",
    "user_intersting_clips = interesting_clips[\n",
    "    interesting_clips_masks & extra_compare_mask\n",
    "].copy()\n",
    "\n",
    "print(\"Number of clips in interesting_clips:\")\n",
    "print(f\"{interesting_clips.shape[0]:,}\")\n",
    "print(\"Number of clips in user_interesting_clips:\")\n",
    "print(f\"{user_intersting_clips.shape[0]:,}\")\n",
    "# Calculate the ratio of preferred clips to total clips for each model\n",
    "preference_ratio = (\n",
    "    user_intersting_clips[user_intersting_clips[\"preference\"]][\n",
    "        \"model_name\"\n",
    "    ].value_counts()\n",
    "    / clip_df_model_counts\n",
    ")\n",
    "\n",
    "# Print the results in a formatted manner\n",
    "print(\"Ratio of preferred clips to total clips for each model:\")\n",
    "print(\"-\" * 60)\n",
    "for model, ratio in preference_ratio.items():\n",
    "    n = clip_df_model_counts[model]\n",
    "    uncertainty = (ratio * (1 - ratio) / n) ** 0.5\n",
    "    print(f\"{model:<30} {ratio:.2%} ± {uncertainty:.2%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:59.204547Z",
     "start_time": "2024-05-26T00:24:58.891851Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:50.741043Z",
     "iopub.status.busy": "2024-10-13T14:04:50.740787Z",
     "iopub.status.idle": "2024-10-13T14:04:51.418517Z",
     "shell.execute_reply": "2024-10-13T14:04:51.417947Z",
     "shell.execute_reply.started": "2024-10-13T14:04:50.741027Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the number of preferences per user\n",
    "preferences_per_user = user_intersting_clips[\"user_id\"].value_counts()\n",
    "\n",
    "# Determine the maximum number of preferences\n",
    "max_preferences = preferences_per_user.max()\n",
    "\n",
    "# Choose bins using Sturges' rule, but ensure a minimum of 15 bins and a maximum of 30\n",
    "n_bins = max(30, min(100, int(np.ceil(np.log2(len(preferences_per_user)) + 1))))\n",
    "\n",
    "# Calculate bin edges using a linear scale\n",
    "bin_edges = np.linspace(preferences_per_user.min(), max_preferences, n_bins)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(preferences_per_user, bins=bin_edges, edgecolor=\"black\")\n",
    "plt.yscale(\"log\")\n",
    "plt.xlabel(\"Number of preferences per user\")\n",
    "plt.ylabel(\"Number of users (log scale)\")\n",
    "plt.title(\"Distribution of User Preferences\")\n",
    "plt.grid(axis=\"both\", linestyle=\"--\", alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:24:59.207707Z",
     "start_time": "2024-05-26T00:24:59.205659Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:51.419468Z",
     "iopub.status.busy": "2024-10-13T14:04:51.419327Z",
     "iopub.status.idle": "2024-10-13T14:04:52.007252Z",
     "shell.execute_reply": "2024-10-13T14:04:52.006567Z",
     "shell.execute_reply.started": "2024-10-13T14:04:51.419453Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary of user_interesting_clips:\n",
      "Total requests: 1,923,452\n",
      "Unique clips: 961,726\n",
      "Fraction of total clips: 9.66%\n",
      "Time Validation:\n",
      "Earliest timestamp: 2024-10-09 15:20:00.052000\n",
      "Latest timestamp:   2024-10-13 12:59:17.310000\n",
      "Earliest timestamp: 2024-10-09 15:20:03.431000\n",
      "Latest timestamp:   2024-10-13 12:58:29.146000\n"
     ]
    }
   ],
   "source": [
    "print(\"Summary of user_interesting_clips:\")\n",
    "print(f\"Total requests: {user_intersting_clips.shape[0]:,}\")\n",
    "print(f\"Unique clips: {user_intersting_clips.shape[0] // 2:,}\")\n",
    "print(\n",
    "    f\"Fraction of total clips: {user_intersting_clips.shape[0] / total_clip_counts:.2%}\"\n",
    ")\n",
    "print(\"Time Validation:\")\n",
    "print(f\"Earliest timestamp: {user_intersting_clips['created_at'].min()}\")\n",
    "print(f\"Latest timestamp:   {user_intersting_clips['created_at'].max()}\")\n",
    "model_to_test = target_model_name\n",
    "print(\n",
    "    f\"Earliest timestamp: {user_intersting_clips[user_intersting_clips['model_name'] == model_to_test]['created_at'].min()}\"\n",
    ")\n",
    "print(\n",
    "    f\"Latest timestamp:   {user_intersting_clips[user_intersting_clips['model_name'] == model_to_test]['created_at'].max()}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:52.008295Z",
     "iopub.status.busy": "2024-10-13T14:04:52.008050Z",
     "iopub.status.idle": "2024-10-13T14:04:52.029605Z",
     "shell.execute_reply": "2024-10-13T14:04:52.029128Z",
     "shell.execute_reply.started": "2024-10-13T14:04:52.008278Z"
    }
   },
   "outputs": [],
   "source": [
    "def parse_for_instrumental(x):\n",
    "    if \"make_instrumental\" not in x:\n",
    "        return False\n",
    "    out = x.get(\"make_instrumental\", False)\n",
    "    return out\n",
    "\n",
    "\n",
    "# from suno_analytics.preference_data_selection import parse_for_tag, parse_for_one_box\n",
    "# user_intersting_clips[\"tags\"] = user_intersting_clips[\"metadata\"].apply(parse_for_tag)\n",
    "# user_intersting_clips[\"is_onebox\"] = user_intersting_clips[\"metadata\"].apply(parse_for_one_box)\n",
    "# user_intersting_clips[\"is_instrumental\"] = user_intersting_clips[\"metadata\"].apply(parse_for_instrumental)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:25:00.893917Z",
     "start_time": "2024-05-26T00:25:00.485775Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:52.030557Z",
     "iopub.status.busy": "2024-10-13T14:04:52.030250Z",
     "iopub.status.idle": "2024-10-13T14:04:58.143137Z",
     "shell.execute_reply": "2024-10-13T14:04:58.142465Z",
     "shell.execute_reply.started": "2024-10-13T14:04:52.030544Z"
    }
   },
   "outputs": [],
   "source": [
    "user_compare_mask = (\n",
    "    user_intersting_clips[\"created_at\"] >= cutoff_date\n",
    "    # & (\n",
    "    #     (user_intersting_clips[\"model_name\"].str.startswith(\"chirp-v3p5-engine-t\"))\n",
    "    #     | (user_intersting_clips[\"model_name\"].str.startswith(\"chirp-v3p5-engine-s\"))\n",
    "    # )\n",
    "    # & (~user_intersting_clips[\"is_pro_user\"])\n",
    "    # & (~user_intersting_clips[\"is_onebox\"])\n",
    "    # & user_intersting_clips[\"is_instrumental\"]\n",
    ")\n",
    "# # this is fucked up sometimes one box doesn't give prompt to one generation\n",
    "extra_compare_mask = user_intersting_clips[user_compare_mask][\"request_id\"].isin(\n",
    "    user_intersting_clips[user_compare_mask][\"request_id\"]\n",
    "    .value_counts()\n",
    "    .index[user_intersting_clips[user_compare_mask][\"request_id\"].value_counts() == 2]\n",
    ")\n",
    "\n",
    "user_compare_mask = user_compare_mask & extra_compare_mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:25:01.140472Z",
     "start_time": "2024-05-26T00:25:00.895575Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:04:58.144267Z",
     "iopub.status.busy": "2024-10-13T14:04:58.144004Z",
     "iopub.status.idle": "2024-10-13T14:05:18.730291Z",
     "shell.execute_reply": "2024-10-13T14:05:18.729594Z",
     "shell.execute_reply.started": "2024-10-13T14:04:58.144251Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1923452, 52)\n",
      "Model Name Value Counts and Fractions:\n",
      "chirp-v3p5-engine-s-8: 1448807 (75.32%)\n",
      "chirp-v3p5-engine-t-5: 210532 (10.95%)\n",
      "chirp-v3p5-engine-upload-4: 108164 (5.62%)\n",
      "chirp-v3p5-engine-s-29: 93192 (4.85%)\n",
      "chirp-v3p5-engine-t-3: 11953 (0.62%)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2: 8736 (0.45%)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2: 8726 (0.45%)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2: 8669 (0.45%)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2: 8586 (0.45%)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3: 3704 (0.19%)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3: 3622 (0.19%)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3: 3556 (0.18%)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3: 3550 (0.18%)\n",
      "chirp-v3p5-engine-ft-1: 836 (0.04%)\n",
      "chirp-v3p5-engine-b: 714 (0.04%)\n",
      "chirp-v3p5-engine-short: 104 (0.01%)\n",
      "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 1 (0.00%)\n"
     ]
    }
   ],
   "source": [
    "user_intersting_clips_3p5 = (\n",
    "    user_intersting_clips[user_compare_mask].reset_index().copy()\n",
    ")\n",
    "\n",
    "\n",
    "def modify_model_name(model_name, metadata):\n",
    "    if model_name.startswith(\"chirp-v3p5-engine-t\") or model_name.startswith(\n",
    "        \"chirp-v3p5-engine-s\"\n",
    "    ):\n",
    "        if \"param_experiment\" in metadata:\n",
    "            exp = metadata.get(\"param_experiment\", \"\")\n",
    "            if exp:\n",
    "                return f\"{model_name}_{exp}\"\n",
    "    return model_name\n",
    "\n",
    "\n",
    "user_intersting_clips_3p5[\"model_name\"] = user_intersting_clips_3p5.apply(\n",
    "    lambda row: modify_model_name(row[\"model_name\"], row[\"metadata\"]), axis=1\n",
    ")\n",
    "user_intersting_clips_3p5 = user_intersting_clips_3p5.sort_values(\n",
    "    by=[\"request_id\", \"preference\"]\n",
    ")\n",
    "print(user_intersting_clips_3p5.shape)\n",
    "model_counts = user_intersting_clips_3p5[\"model_name\"].value_counts()\n",
    "model_fracs = model_counts / model_counts.sum()\n",
    "\n",
    "print(\"Model Name Value Counts and Fractions:\")\n",
    "print_out_value_counts_nicely(user_intersting_clips_3p5, \"model_name\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:25:02.009450Z",
     "start_time": "2024-05-26T00:25:01.523515Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:18.731453Z",
     "iopub.status.busy": "2024-10-13T14:05:18.731100Z",
     "iopub.status.idle": "2024-10-13T14:05:24.480504Z",
     "shell.execute_reply": "2024-10-13T14:05:24.479804Z",
     "shell.execute_reply.started": "2024-10-13T14:05:18.731438Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len pos models: 961726\n",
      "differing counts: 61055\n",
      "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 357, total 357.\n",
      "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 418, total 418.\n",
      "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, (1.000, 1.000), counts 46595, total 46595.\n",
      "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-8, win ratio 0.500, (-0.193, 1.193), counts 1, total 2.\n",
      "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-29, win ratio 0.500, (-0.193, 1.193), counts 1, total 2.\n",
      "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 724402, total 724402.\n",
      "chirp-v3p5-engine-short_win_over_chirp-v3p5-engine-short, win ratio 1.000, (1.000, 1.000), counts 52, total 52.\n",
      "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, (1.000, 1.000), counts 16, total 16.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5, win ratio 0.474, (0.465, 0.483), counts 5653, total 11917.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_3, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.529, (0.519, 0.540), counts 4619, total 8731.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.493, (0.476, 0.509), counts 1748, total 3548.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_3, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.526, (0.516, 0.537), counts 4559, total 8665.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.513, (0.497, 0.530), counts 1825, total 3556.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.533, (0.523, 0.544), counts 4652, total 8721.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.508, (0.492, 0.525), counts 1841, total 3621.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.524, (0.514, 0.535), counts 4499, total 8583.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.495, (0.479, 0.512), counts 1833, total 3700.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-3, win ratio 0.526, (0.517, 0.535), counts 6264, total 11917.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 74744, total 74744.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_2, win ratio 0.471, (0.460, 0.481), counts 4112, total 8731.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_3, win ratio 0.507, (0.491, 0.524), counts 1800, total 3548.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 0.474, (0.463, 0.484), counts 4106, total 8665.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_3, win ratio 0.487, (0.470, 0.503), counts 1731, total 3556.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_2, win ratio 0.467, (0.456, 0.477), counts 4069, total 8721.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_3, win ratio 0.492, (0.475, 0.508), counts 1780, total 3621.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_2, win ratio 0.476, (0.465, 0.486), counts 4084, total 8583.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 0.505, (0.488, 0.521), counts 1867, total 3700.\n",
      "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, (1.000, 1.000), counts 54082, total 54082.\n",
      "tournament players: ['chirp-v3p5-engine-s-29', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_3']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 860.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ELOs\n",
      "chirp-v3p5-engine-s-29: 1000.0, (999, 1001)\n",
      "chirp-v3p5-engine-s-8: 999.8, (999, 1000)\n",
      "chirp-v3p5-engine-t-3: 975.6, (969, 982)\n",
      "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 1000.2, (1000, 1001)\n",
      "chirp-v3p5-engine-t-5: 993.3, (991, 996)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2: 1013.6, (1006, 1021)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3: 988.3, (978, 998)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2: 1011.5, (1005, 1018)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3: 1002.2, (991, 1013)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2: 1016.5, (1010, 1024)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3: 998.9, (989, 1009)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2: 1010.2, (1003, 1017)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3: 989.9, (979, 1000)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x1800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_preference_counts(user_intersting_clips_3p5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:25:02.332947Z",
     "start_time": "2024-05-26T00:25:02.010694Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:24.481628Z",
     "iopub.status.busy": "2024-10-13T14:05:24.481355Z",
     "iopub.status.idle": "2024-10-13T14:05:31.348522Z",
     "shell.execute_reply": "2024-10-13T14:05:31.347826Z",
     "shell.execute_reply.started": "2024-10-13T14:05:24.481613Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "first gen\n",
      "len pos models: 723729\n",
      "differing counts: 1108\n",
      "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 187, total 187.\n",
      "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 366, total 366.\n",
      "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, (1.000, 1.000), counts 41594, total 41594.\n",
      "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 642481, total 642481.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5, win ratio 0.561, (0.487, 0.636), counts 96, total 171.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.547, (0.478, 0.616), counts 110, total 201.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.364, (0.163, 0.565), counts 8, total 22.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.567, (0.503, 0.630), counts 132, total 233.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.688, (0.460, 0.915), counts 11, total 16.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.581, (0.514, 0.648), counts 122, total 210.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.353, (0.126, 0.580), counts 6, total 17.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.587, (0.522, 0.653), counts 128, total 218.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.556, (0.326, 0.785), counts 10, total 18.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-3, win ratio 0.439, (0.364, 0.513), counts 75, total 171.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 37993, total 37993.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_2, win ratio 0.453, (0.384, 0.522), counts 91, total 201.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_3, win ratio 0.636, (0.435, 0.837), counts 14, total 22.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 0.433, (0.370, 0.497), counts 101, total 233.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_3, win ratio 0.312, (0.085, 0.540), counts 5, total 16.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_2, win ratio 0.419, (0.352, 0.486), counts 88, total 210.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_3, win ratio 0.647, (0.420, 0.874), counts 11, total 17.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_2, win ratio 0.413, (0.347, 0.478), counts 90, total 218.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 0.444, (0.215, 0.674), counts 8, total 18.\n",
      "tournament players: ['chirp-v3p5-engine-s-29', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_3']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 503.92it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ELOs\n",
      "chirp-v3p5-engine-s-29: -2666.9, (-5778, 1000)\n",
      "chirp-v3p5-engine-s-8: 234.8, (-1956, 1619)\n",
      "chirp-v3p5-engine-t-3: 1464.7, (978, 1811)\n",
      "chirp-v3p5-engine-t-5: 1421.8, (949, 1768)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2: 1454.7, (971, 1816)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3: 1326.1, (751, 1715)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2: 1468.2, (982, 1833)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3: 1557.8, (984, 1989)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2: 1478.4, (989, 1835)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3: 1316.5, (707, 1707)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2: 1483.0, (994, 1828)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3: 1460.8, (892, 1837)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x1800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"first gen\")\n",
    "first_gen_slice_df = user_intersting_clips_3p5[\n",
    "    (user_intersting_clips_3p5[\"continued_parent\"].isna())\n",
    "    & (user_intersting_clips_3p5[\"task\"] == \"\")\n",
    "].copy()\n",
    "if first_gen_slice_df.shape[0] > 0:\n",
    "    get_preference_counts(\n",
    "        first_gen_slice_df,\n",
    "        title_name=\"first generation\",\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:25:02.574659Z",
     "start_time": "2024-05-26T00:25:02.334214Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:31.349637Z",
     "iopub.status.busy": "2024-10-13T14:05:31.349372Z",
     "iopub.status.idle": "2024-10-13T14:05:34.311355Z",
     "shell.execute_reply": "2024-10-13T14:05:34.310665Z",
     "shell.execute_reply.started": "2024-10-13T14:05:31.349622Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "is continue\n",
      "len pos models: 144690\n",
      "differing counts: 78\n",
      "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 95, total 95.\n",
      "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 52, total 52.\n",
      "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, (1.000, 1.000), counts 4906, total 4906.\n",
      "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 80564, total 80564.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5, win ratio 0.700, (0.416, 0.984), counts 7, total 10.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.571, (0.312, 0.831), counts 8, total 14.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.438, (0.194, 0.681), counts 7, total 16.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.571, (0.360, 0.783), counts 12, total 21.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.615, (0.351, 0.880), counts 8, total 13.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-3, win ratio 0.300, (0.016, 0.584), counts 3, total 10.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 4913, total 4913.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_2, win ratio 0.429, (0.169, 0.688), counts 6, total 14.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 0.562, (0.319, 0.806), counts 9, total 16.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_3, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_2, win ratio 0.429, (0.217, 0.640), counts 9, total 21.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_3, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_2, win ratio 0.385, (0.120, 0.649), counts 5, total 13.\n",
      "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, (1.000, 1.000), counts 54082, total 54082.\n",
      "tournament players: ['chirp-v3p5-engine-s-29', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_3']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 606.81it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ELOs\n",
      "chirp-v3p5-engine-s-29: 2167.0, (1000, 2507)\n",
      "chirp-v3p5-engine-s-8: -167.0, (-505, 1000)\n",
      "chirp-v3p5-engine-t-3: 1379.9, (823, 3108)\n",
      "chirp-v3p5-engine-t-5: 1233.2, (688, 1441)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2: 1283.4, (699, 1538)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2: 1189.5, (590, 1438)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3: -693.2, (-1370, 1000)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2: 1283.4, (717, 1523)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3: -693.2, (-1296, 1000)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2: 1314.9, (738, 1608)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3: 2702.1, (1000, 3109)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x1800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"is continue\")\n",
    "get_preference_counts(\n",
    "    user_intersting_clips_3p5[(user_intersting_clips_3p5[\"task\"] == \"extend\")],\n",
    "    \"is extend\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:34.312454Z",
     "iopub.status.busy": "2024-10-13T14:05:34.312194Z",
     "iopub.status.idle": "2024-10-13T14:05:36.522076Z",
     "shell.execute_reply": "2024-10-13T14:05:36.521382Z",
     "shell.execute_reply.started": "2024-10-13T14:05:34.312438Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "is cover\n",
      "len pos models: 80495\n",
      "differing counts: 52644\n",
      "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 54, total 54.\n",
      "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, (1.000, 1.000), counts 16, total 16.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5, win ratio 0.465, (0.455, 0.474), counts 4775, total 10275.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_3, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.535, (0.523, 0.546), counts 3993, total 7470.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.512, (0.495, 0.530), counts 1620, total 3161.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_3, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.535, (0.524, 0.547), counts 3930, total 7344.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.531, (0.514, 0.548), counts 1676, total 3156.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.538, (0.527, 0.550), counts 4028, total 7483.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.532, (0.515, 0.549), counts 1698, total 3192.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.525, (0.513, 0.536), counts 3818, total 7277.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.510, (0.493, 0.527), counts 1672, total 3276.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-3, win ratio 0.535, (0.526, 0.545), counts 5500, total 10275.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 27776, total 27776.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_2, win ratio 0.465, (0.454, 0.477), counts 3477, total 7470.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_3, win ratio 0.488, (0.470, 0.505), counts 1541, total 3161.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 0.465, (0.453, 0.476), counts 3414, total 7344.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_3, win ratio 0.469, (0.452, 0.486), counts 1480, total 3156.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_2, win ratio 0.462, (0.450, 0.473), counts 3455, total 7483.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_3, win ratio 0.468, (0.451, 0.485), counts 1494, total 3192.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_2, win ratio 0.475, (0.464, 0.487), counts 3459, total 7277.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 0.490, (0.473, 0.507), counts 1604, total 3276.\n",
      "tournament players: ['chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_3']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 902.29it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ELOs\n",
      "chirp-v3p5-engine-t-3: 962.8, (956, 970)\n",
      "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 1000.3, (1000, 1001)\n",
      "chirp-v3p5-engine-t-5: 987.2, (984, 990)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2: 1011.3, (1004, 1019)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3: 995.9, (985, 1007)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2: 1011.5, (1004, 1019)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3: 1008.9, (997, 1021)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2: 1013.8, (1006, 1022)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3: 1009.5, (998, 1021)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2: 1004.7, (997, 1012)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3: 994.1, (983, 1006)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABe0AAAeHCAYAAABO0kx/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd1yV5f/H8ffhACIiIkOcuEMlEXGbaTm+DtLMb45KKlflKC1NLctRuTUrLTNnppmaSm5z9K3ce+XI3AgO3IgKnHN+f5wftyDbAWiv5+PBo3tc93Vd5wZ7wOf+3J/LZLPZbAIAAAAAAAAAANnOIbsnAAAAAAAAAAAA7AjaAwAAAAAAAACQQxC0BwAAAAAAAAAghyBoDwAAAAAAAABADkHQHgAAAAAAAACAHIKgPQAAAAAAAAAAOQRBewAAAAAAAAAAcgiC9gAAAAAAAAAA5BAE7QEAAAAAAAAAyCEI2gMAAADIkPHjx8vf31/+/v4aP358lo1bv359Y9zw8PAsG/dRFBkZqZEjR+r5559XlSpVVK5cOePebdmyJbunBwAAgAxwzO4JAAAAAI+i0NBQbd26Ncmxr7/+Wg0bNsxwHyNHjtS0adOSHOvRo4fefvvtBzJHpKx+/fo6c+ZMiudMJpPy5MkjT09PVahQQXXr1lVISIhcXFyyeJaZt2fPHnXu3FnXrl3L7qkAAADgPhC0BwAAAB6QX375JcNBe4vFoiVLljzkGSGzbDaboqOjFR0drVOnTmnlypUaN26chg0bprp162b39FJls9nUt29fI2Dv7u6umjVrysvLSw4O9hesfX19s3OKAAAAyCCC9gAAAMAD8ttvv+nq1avKly9fum03bNigCxcuZMGskJZatWqpVKlSxr7VatWVK1e0a9cunT17VpJ04cIFvfXWW5o4caLq1auXXVNN0549e3TixAlJkqenp5YtWyZPT8/snRQAAADuCUF7AAAA4D6VKVNG//zzj+Li4rRs2TK9/PLL6V7zyy+/JLseWa9FixZq1apVsuNWq1Xz58/XZ599ptjYWFksFn3wwQdas2aNXF1ds2Gmafvrr7+M7QYNGhCwBwAAeISxEC0AAABwn5o1ayYnJydJSYPxqYmOjtaaNWskSeXLl9cTTzzxUOeHzHNwcFDbtm3Vv39/49jFixdzbEmjxHXsfXx8snEmAAAAuF8E7QEAAID75OnpqaefflqStHv3bqNMSWpWrFihW7duSZJatmz5kGeH+9G2bVvlz5/f2N+4cWM2ziZ18fHxxnZCDXsAAAA8miiPAwAAADwALVu21Lp16yRJYWFh6tWrV6ptE7LxHR0d1bx5c+3ZsydTY9lsNq1cuVKrV6/W3r17dfHiRUmSl5eXKlWqpEaNGqlx48YymUwZ7nPz5s2aP3++du7cqaioKOXLl09+fn4KCQlRq1atlDt37kzNMcGmTZu0YsUK7dixQxcuXFBMTIw8PDzk7++vZ599Vi+++KJcXFzuqe+s4OjoqIoVK+qPP/6QJJ0+fTrJ+f79+2vRokWSpOHDh6tVq1a6du2aFi1apF9//VWnTp3SxYsXZbFYtG3bNrm7uye53mazac2aNVqzZo12796tqKgoxcbGytPTUwEBAWrUqJGaN28uR8fkf7otXLhQH3zwQbLjEyZM0IQJE5Ic69Gjh95+++0UP+PevXu1dOlSbdmyRefOnVN0dLTy5cunkiVLqm7dumrbtm266zTUr19fZ86ckSStXbtWRYsW1alTp7RgwQL9/vvvOnv2rK5cuSJ/f/8U30aJiYlRWFiY/vjjDx0+fFiXLl2Sg4ODfHx8VKVKFbVo0UK1atVKcw6J78cLL7ygESNGSJJWr16tBQsW6NChQ4qKilLevHlVvnx5Pf/882rRokWm/p2cPn1aYWFh2rx5s06dOqUrV67IwcFB3t7e8vf3V61atdSsWTN5eXml2c+D+LwAAODxRdAeAAAAeACeffZZ5cuXT1evXtXixYvVs2fPFIOB4eHh2r59uySpTp066Qb37nbixAm9++67OnDgQLJzMTExOn36tJYuXaqAgAB9+eWXKlasWJr9xcfHa+DAgVqwYEGS4xcuXNCFCxe0Y8cO/fjjjxo/fnym5hkZGam+fftq69atyc4l9L1+/XpNmjRJ48aNU9WqVTPVf1ZKHGi/ceNGmm137Nih3r17KzIyMt1+Dx06pP79++vgwYPJzp09e1Znz57V2rVrNWnSJE2YMEFlypTJ/OTTcPXqVX388cdatWpVsnNRUVGKiorStm3bNHnyZH366adq0qRJhvueO3euhg4dqtu3b6fbdsWKFRo6dGiKCzOfPHlSJ0+e1MKFC/Xss89q9OjRyps3b4bmcP36dfXt29d4mJbg0qVL2rBhgzZs2KAlS5ZowoQJ6T44io2N1YgRIzR37twkbzUkCA8PV3h4uNauXauRI0dq8+bNcnNzy9LPCwAAHh8E7QEAAIAHwNnZWU2bNtVPP/2kM2fOaNu2bapevXqydmFhYbLZbJKk559/PlNjHD16VO3bt9elS5eMY0888YTKly8vk8mkAwcO6O+//5ZkX5i0Xbt2mjVrlkqWLJlqn/369dPSpUuNfXd3d9WoUUMeHh6KjIzUli1b9M8//+iNN95Q/fr1MzzP1157zQhKmkwmVahQQWXKlJGLi4vOnTunbdu26caNGzp//rw6dOigyZMnq2bNmpm6H1klcb341AKxkj3gOmzYMF2/fl158uRRtWrVVKBAAV29etV4UJNg27ZteuuttxQdHS1JcnJy0pNPPqkSJUrI0dFRZ86c0Y4dO3T79m0dP35c7dq109y5c1W6dGmjj9KlS+uVV16RZM+W37dvnySpYsWKCgwMTDLe3fsXLlzQa6+9pqNHjxrHypYtK39/f+XJk0cXL17U9u3bdeXKFV27dk29evXSqFGj1KJFi3Tv18qVKzV69GhJUoECBRQcHKy8efPq/Pnzunr1apK2M2bM0IgRI4x/E25ubgoKClLBggVltVp15MgR7d+/XzabTb/99ptCQ0M1Z86cdN/8iI+P19tvv61NmzbJyclJlStXlp+fn27fvq0dO3YoIiJCkvTnn39q+PDhGjJkSKp93bhxQ506ddKuXbuMY7lz51ZwcLAKFiwom82m8+fPa//+/bpy5Yri4uJktVpT7OthfV4AAPB4IWgPAAAAPCAtW7bUTz/9JMkenE8paL948WJJ9uB4gwYNMtx3bGys3nvvPSNg7+XlpTFjxqh27dpJ2q1fv159+vTR5cuXFRUVpd69e2vu3LnGQrmJhYWFJQnYt2/fXu+//36SrOPz58/r/fff1+bNm/Xjjz+mO8+YmBi9/fbbRsC+bt26+vjjj+Xn55ekXXR0tMaMGaM5c+YoNjZWffr00YoVK3JcVnFcXJz27t1r7BctWjTVtlOmTFF8fLxeeeUV9e7dW3ny5EnSj9lslmQPmPfs2dMI2Lds2VK9e/dWgQIFkvQXFRWlwYMHa/Xq1bp+/bp69eqlsLAwo59KlSqpUqVKkqTx48cbQft69eqlWgpHkqxWq3r37m0E7AMDAzVkyBBVqFAhSbvbt29r8uTJmjBhgmw2mwYNGqTKlSun+/bGuHHj5OTkpIEDB6p169ZJ3jiJjY01tjdt2qSRI0fKZrPJyclJ77zzjkJDQ5MFqA8ePKg+ffron3/+0cGDBzVy5EgNHjw4zTmsWrVKsbGxqlu3rj777DP5+voa5+Lj4zV27FhNmzZNkv2tgC5duqT6vf3oo4+MgL3ZbFa3bt3UsWNHubq6JmlntVq1detWzZw5M8W3bB7m5wUAAI8XVigCAAAAHpDKlSurRIkSkuxBw4TFZhPs3LlTJ0+elCQ1bdpUuXLlynDfS5Ys0aFDhyTZs7KnTJmSLGAv2UvufPfdd0YN9L/++kvLli1L1s5qteqLL74w9lu1aqWPP/44WZmQAgUKaNKkSfL391dcXFy685w+fboRDG7UqJEmTZqULGAv2TOMBw8erBdeeEGSPZA9Z86cdPvPavPmzdOVK1eM/bTqjMfHx6t169YaOHBgkoC9ZP+eJSwQO27cOGMdgtDQUI0cOTJZwF6SvL299eWXXxpvIPz9998plrLJrMWLF2vLli2SpKCgIP3www/JAvaSlCtXLvXo0UPdu3eXZH8gM2XKlHT7j4+P17Bhw9SmTZtkwWtnZ2dJ9p+/wYMHGxnp48aN0xtvvJFiRnn58uU1Y8YMeXt7S5J+/vlnnT17Ns05xMbGqmrVqpo4cWKSgL1kX6egb9++qlixoiT7ugLLly9PsZ+NGzcmOTd69Gj16NEjWcBesi8AXLNmTX3zzTfJHj497M8LAAAeLwTtAQAAgAcooeRNdHS01qxZk+RcWFhYsnYZNXfuXGO7Xbt2KQZZEwQGBqp169bGfkrB8D///NOou+7i4qK+ffum2p+Li4v69euX7hzj4uI0e/ZsSfbg7JAhQ4xAdWreffddI7C7ZMmSdMfIKlarVfPmzTMWM5UkT09PNW/ePNVrcuXKpffffz/Nfi9dumS8beHj45Nue7PZrHfffdfYT7j2fsyYMcPYHjJkSLr13N944w2jrv+yZctSLf2SIDAwMN0yOuvWrdOJEyckSQ0bNlSjRo3SbO/j46PXXntNkv3nbMWKFWm2l6QPP/wwxQV8JXvJplatWhn7CW8p3C0hG1+SmjVrppCQkHTHTUlWfF4AAPD4oDwOAAAA8AA9//zz+uqrr2Sz2RQWFqbnnntOkj3zNyHw5ufnpypVqmS4z+joaO3fv9/Yf/HFF9O9pnXr1kawft++fYqJiUmSHZyQaS3Zy6nkz58/zf5q164tX19fnTt3LtU2+/fvNzLIa9WqlaFFdn19fVWqVCkdPXpUR44c0fXr17O0RM7ixYuT3FubzaYrV65o165dSRaTdXBw0NChQ5Nl0Cf21FNPKV++fGmOt3HjRuONhUaNGmXobYtKlSrJ1dVVMTEx2rlzZ7rt03L+/Hlj4dsyZcqoXLly6V6TK1cuBQUF6Y8//tD169f1999/p3ldRgLbf/zxh7Gd8G8kPYnXPNixY4c6dOiQattixYopICAgzf4SP/g6c+ZMsvOxsbFJFlJu3759huaZkof9eQEAwOOFoD0AAADwABUpUkTVqlXT1q1btXHjRl24cEE+Pj5au3atsaBpZrPsDx8+LIvFIklydXWVv79/uteUL1/eCPRaLBYdOnRIwcHBxvmEwK1kL5GSHpPJpEqVKunXX39Ntc3u3buN7bNnz+qTTz5Jt1/pzkKvNptNZ8+ezdKg/aZNm7Rp06Y023h7e2vo0KF65pln0myXXpBYSnqPDh8+nOF7lODq1avJHsBkRuLxb926leHxT506ZWyfPXs2zaB9Ru5D4kVdf/31V23bti3da65fv25sJ36gkpInnngi3f48PDyM7YT1BRI7ePCgbt++Lcm+8GzC+gH34mF/XgAA8HghaA8AAAA8YM8//7y2bt0qi8WiJUuWqGPHjvrll18k2YPfmQ3aX7582dguVKhQiotc3s3BwUEFCxbUsWPHkvUhyVjQNqHPjEiv3fnz543tw4cP6/DhwxnqN7GrV69m+poHyWQyKU+ePPL09FT58uVVt25dPffcc+mWkJHs5XPSk/ge7dixQzt27Mj0HK9du3bPQfvE44eHhxvljDIjve9RZu9DavXk05LwoCc1GXnwk7h0Tnx8fLLzUVFRxnbBggVTLbWTEQ/78wIAgMcLQXsAAADgAWvSpIk+++wz3bx5U2FhYXr++ef1559/SpKqVKmiYsWKZaq/GzduGNspLVyZmsRtE/ch2RcVzWyf6bVLnBl8rxLeKMgqw4cPT1Lb/H5kJLD/IO5RSgHmjMqK71FGSv6klNn+IOeQkQdb6Un8b+ZeH5IkeNifFwAAPF4I2gMAAAAPmJubmxo0aKClS5fq8OHDGjNmjBFobdmyZab7S1xH/ebNmxm+LnHbu2uxJw5CZrTP9NolDuqHhobqo48+ylC//yaJ79EHH3yg119/PdvGr1+/viZOnJil4yeeR8IDhEWLFqW5sHJ2SfxvJvFDrnvxKHxeAACQczhk9wQAAACAx1Hi4PzChQsl2TOQmzRpkum+Ei8Se/bsWdlstnSvsVqtOnv2bIp9SElLmGS0Xnbi/lLi7e1tbCcuLYI7Et+jCxcuZOv42fk9SrxIcXbch4xIfK/Onj17X284PAqfFwAA5BwE7QEAAICHoHbt2vLx8UlyrEGDBve0yKq/v7/MZrMke8mOjNSKP3TokJEdbDabky0cWr58eWM78eKkqbHZbNqzZ0+abQIDA43tXbt2Zejhwr9N4nu0c+fOLB8/8WKqBw8evO8M8gcxj+y4DxlRvnx5o9TPzZs30/35T8uj8HkBAEDOQdAeAAAAeAjMZrOaN2+e5Ni9lMaR7OV2nnzySWN/0aJF6V7z888/G9uBgYHJanLXqFHD2P7jjz905cqVNPvbvHlzupn2VapUkbu7uyR7ZvK6devSnee/zdNPP20saLpr1y4dOnQoS8cvVqyYSpcuLUmKi4tL8nOSlZ555hlje8GCBbp9+3a2zCMtzs7OSf6d3MuivQkehc8LAAByDoL2AAAAwEPStWtX/fzzz8ZXnTp17rmvtm3bGtuzZ89OM9i7f/9+zZ0719hv165dsjZ16tRRoUKFJNmziEePHp1qf7dv39aIESPSnaOzs7Nee+01Y3/IkCE6d+5cutcl+DeU1PH19VWLFi0k2d9e6Nu3b4YXKbVarbp06dJ9z6FLly7G9hdffJGhNzcSPKjSLo0bN1bx4sWNPgcPHpzhNzNu3LiRZW8IdOjQwdhetmyZli1bdk/9PCqfFwAA5AwE7QEAAICHxN3dXRUrVjS+Ekrc3IvmzZsbJW7i4uLUuXNnbd68OVm7jRs3qkuXLkb97YCAAIWEhCRrZzab1bNnT2P/559/1tChQ5NlAF+4cEFvvfWWDh06JCcnp3Tn2aFDB5UtW1aSdO7cOf33v//VihUrZLVaU2x/6dIlzZ07Vy+88IKmTp2abv+Pg169ehmlkw4fPqwXX3xR69evT7X92bNnNWPGDDVp0kTLly+/7/FbtGihmjVrSrIHhF9++WX99NNPio2NTbF9dHS0Fi9erNDQUH366af3Pb5k//kbPHiw8W9i4cKFeuONN3T06NFUrzl48KBGjx6tZ555RuHh4Q9kHumpXbt2knUo3n//fU2YMCHFRZmtVqs2b96s7t27G4vOJnhUPi8AAMgZHLN7AgAAAADS5+zsrM8//1zt27fXpUuXdOHCBb322msqV66cUZ/+4MGDSTLwvby8NHbs2FSD7S+88IJ+//13rVixQpI0c+ZM/fLLL6pRo4Y8PDwUGRmpLVu2KDY2VkWLFlWDBg30/fffpznPPHnyaOLEiXr99dcVHh6uCxcuqFevXsqfP7+CgoLk7e0tm82mq1ev6p9//tHJkyeNgH5CIPlx5+vrq2+++UZvvPGGLl++rOPHj6tTp07y9fVVYGCgPD09FRcXp8uXL+vIkSMPPGBrNpv1xRdfqGPHjjpw4ICio6M1aNAgjR49WkFBQfL19ZXZbNbVq1d1/PhxHTt2zHgI1Lhx4wc2j9q1a2vw4MEaPHiwLBaL/vjjD/35558qU6aM/P39lSdPHt26dUsXLlzQoUOHHshbBvdi6NChioiI0N69e2WxWDR+/HhNnTpVwcHBKliwoGw2m86dO6f9+/cbZaZSyqJ/VD4vAADIfgTtAQAAgEdE6dKl9eOPP+q9997TgQMHJNkXnE2pVE5AQIC++OIL+fn5pdnn6NGj5eLiYtTJv3r1qn799dckbUqVKqUJEyZkOMu7WLFiWrBggQYNGqRVq1bJZrPp8uXL+u2331K9xt3dXU888USG+n8cBAYGasGCBRowYIA2bdokyf5mwurVq1O9xtvb2yixcr/y58+vOXPmaPjw4fr5558VHx+v6OjoNDP+XVxcFBAQ8EDGT9CmTRv5+flp0KBBOnHihGw2m44cOaIjR46kek3ZsmWVL1++BzqPtLi5uemHH37Q0KFDtWDBAlksFsXExKR6r3LlyiUHh5Rfan8UPi8AAMh+BO0BAACAR0jJkiW1YMECrVy5Ur/++qv27t1rZOR6enqqUqVKaty4sRo3biyTyZRuf05OThoxYoSef/55zZs3Tzt37tTFixeVL18++fn5qWnTpvrvf/+rPHnyZGqeHh4e+vLLL/X3339r2bJl2rJli8LDw3XlyhU5ODjI3d1dfn5+qlChgmrXrq2nnnpKuXLluqd78qgqUqSIZsyYoV27dmnlypXatm2bzp49q2vXrslsNsvDw0PFixfXk08+qTp16qh69erGIrYPgouLi4YMGaIuXbpo8eLF2rx5s06cOKErV67IarUqb968KlasmMqVK6eaNWuqbt26cnNze2DjJ6hZs6aWL1+uNWvW6H//+5/27NmjqKgoRUdHy8XFRd7e3ipVqpQqV66sunXrGm+WZCUXFxd9+umnev311/XLL79o06ZNOnPmjK5evSonJyf5+PjI399ftWvXVrNmzdK8T4/C5wUAANnLZMvo6jcAAAAAAAAAAOChYiFaAAAAAAAAAAByCIL2AAAAAAAAAADkEATtAQAAAAAAAADIIQjaAwAAAAAAAACQQxC0BwAAAAAAAAAghyBoDwAAAAAAAABADkHQHgAAAAAAAACAHIKgPQAAAAAAAAAAOQRBewAAAAAAAAAAcgiC9gAAAAAAAAAA5BAE7QEAAAAAAAAAyCEI2gMAAADIkbZs2SJ/f3/5+/srNDQ0u6cDAAAAZAmC9gAAAAAAAAAA5BAE7QEAAAAAAAAAyCEI2gMAAAAAAAAAkEOYbDabLbsnAQAAAAAAAAAAyLQHAAAAAAAAACDHIGgPAAAAAAAAAEAO4ZjdEwAAAACAlGzZskWvvvqqJKl69er64YcfUm179OhRLViwQNu3b9fJkyd148YNmUwmubm5qVChQvL391f16tVVv3595cuX74HNMSoqSosWLdLGjRt1/PhxXbp0SZLk6empMmXKqEaNGmratKmKFi2aZj9nzpzRzz//rA0bNig8PFzXrl2Tu7u7ihYtqjp16qh169YqVKhQitdevHhRdevWVXx8vBwcHPS///1Pvr6+GZp/48aNdeLECUnSF198oaZNm6badtOmTVqxYoV27NihCxcuKCYmRh4eHvL399ezzz6rF198US4uLmmO5+/vb2wfPnxYknTo0CH9/PPP2rx5s86fP6+rV6+qQYMG+uabbzL0GQAAAB431LQHAAAAkCNlNGg/fvx4TZw4URaLJd0+mzdvrjFjxtz33KxWq7755htNmTJFN2/eTLOtg4ODlixZojJlyqR4fuLEiZo4caJu376dah+5cuVSjx499MYbb6R4vkuXLvrjjz8kSe+//746d+6c7mfYu3evWrduLUnKmzevNmzYoFy5ciVrFxkZqb59+2rr1q1p9legQAGNGzdOVatWTbXN3UH71L53BO0BAMC/GZn2AAAAAB5Z33//vSZMmGDs58+fX0FBQfLx8ZHJZNKVK1d0/PhxHT16NENB/YywWCzq2bOnVq9ebRxzcnJS5cqVVaRIETk6OioqKkr79+/XhQsXZLVaFRcXl2Jfn3zyiWbPnm3su7q6qkaNGvLx8dGFCxe0ZcsWxcTE6Pbt2xo7dqyioqL04YcfJuunRYsWRtB+yZIlGQraL1682Nhu3LhxigH7o0eP6rXXXtOFCxckSSaTSRUqVFCZMmXk4uKic+fOadu2bbpx44bOnz+vDh06aPLkyapZs2a640+ZMsX43vn5+SkwMFAuLi46c+aMHB35UxUAAPx78ZsQAAAAgEdSfHy8Jk6caOz37t1bHTp0kJOTU7K2V65c0dq1a43yNfdj3LhxSQL27du3V48ePZQ/f/5kbffu3avZs2enGIRevnx5koB9q1atNGDAALm5uRnHoqOjNWTIECPA/v3336tq1ar6z3/+k6Svhg0bytXVVTExMTp06JCOHDmismXLpvoZLBaLli9fbuy3aNEiWZuYmBi9/fbbRsC+bt26+vjjj+Xn55ekXXR0tMaMGaM5c+YoNjZWffr00YoVK5Q3b95Ux5fs9zFv3rwaMWKEGjZsmORcbGxsmtcCAAA8zliIFgAAAMAj6dixY7p8+bIkKTg4WG+88UaKAXtJ8vDw0H//+1916dLlvsY8fvy4pk6dauz37t1bH3/8cYoBe0kKDAzUyJEjkwXQrVarxo4da+w3adJEw4YNSxKwlyQ3NzeNGjVKDRo0MI6NHj1aVqs1SbvcuXMnCeQnzqJPyYYNG3Tx4kVJUuHChVW9evVkbaZPn66jR49Kkho1aqRJkyYlC9gnzHHw4MF64YUXJEkXLlzQnDlz0hxfst+DiRMnJgvYS5Kzs3O61wMAADyuCNoDAAAAeCRFR0cb256enlky5owZM4yAeVBQ0D0/BFi/fr3Cw8Ml2UvrfPTRRzKZTCm2NZlMGjRokPFA4tSpU9qwYUOydomz5ZcuXaq0li9LHNR/7rnnko0dFxdnvAXg7OysIUOGyMEh7T8f3333XaOfJUuWpNlWspfkqVatWrrtAAAA/m0I2gMAAAB4JBUqVMjY3rJli44fP/7Qx/zzzz+N7VdeeSXVQHt6Nm/ebGzXq1dPPj4+abb39fVVnTp1jP0tW7Yka1OrVi2jn4iICG3fvj3FvmJiYrR27VpjP6XSOPv37zcy8WvVqiUvL68055cwx1KlSkmSjhw5ouvXr6fZPiQkJN0+AQAA/o2oaQ8AAADgkVSoUCEFBQVp9+7dun79ulq1aqXnn39ejRo1UnBwsHLnzv1Ax4uKitKZM2eM/Ro1atxzXwcPHjS2K1eunKFrgoOD9dtvv0mSDhw4kOy8g4ODnnvuOU2fPl2SPZs+pUz2NWvWKCYmRpJUoUKFFGvf796929g+e/asPvnkkwzN8dq1a5Ikm82ms2fPplnXPiAgIEN9AgAA/NsQtAcAAADwyBo6dKhee+01RUVFKSYmRnPmzNGcOXPk6OiocuXKqVq1aqpTp45q1aols9l8X2NFRUUZ287OzvL19b3nvhIviFu4cOEMXVO0aFFjO6GW/91atGhhBO1XrVqljz/+OFl9+MSla1LKspek8+fPG9uHDx/W4cOHMzTHxK5evZrm+awqaQQAAPCooTwOAAAAgEdWmTJl9Msvvyg0NDRJVnd8fLz279+v6dOnq1OnTnr22Wc1f/78+xrrxo0bxrarq+t99ZWQ6Z6ZvhK/OZB4Loklzpy/evWqfv/99yTnL168qI0bN0qSzGaznnvuuRT7Sa+0TUZYLJY0z7u4uNz3GAAAAI8jMu0BAAAAPNK8vb310UcfqW/fvtq9e7e2b9+uXbt2aefOncZitefOndNHH32kw4cP66OPPrqncfLkyWNsJw6634vEgfqM9nXz5s0U53K3Fi1aaOzYsZLsWfWNGjUyzi1fvlzx8fGSktbAv1viBwShoaH3fM8AAACQeWTaAwAAAHgsODs7q3r16urWrZsmT56szZs3a/LkyapSpYrR5ocfftDevXvvqX9vb29jOzY2NkkJmcxKXBomMjIyQ9eEh4cb2/nz50+1XfPmzY0Fcn/77bckWfOLFy82tlMrjSMl/ayJywIBAADg4SNoDwAAAOCx5OTkpLp162rGjBl64oknjOMJi7lmlre3t4oUKWLsb968+Z7nVr58eWN7165dGbomcbsKFSqk2q5QoULGArSxsbFauXKlJOnkyZPGAwtXV9ckGfh3CwwMTDKuzWbL0BwBAABw/wjaAwAAAHisOTs766mnnjL2L168eM991a1b19j+8ccf7zmYXbNmTWP7999/T3dO586d059//pni9SlJnEWfkF2fOMu+QYMGadbSr1Klitzd3SVJZ8+e1bp169IcDwAAAA8OQXsAAAAAj6SrV6/KarVmqG3iEjSJS9Nk1muvvSYHB/ufUbt27dLkyZPvqZ86deqoaNGikuzZ8MOGDUu1rc1m02effaa4uDhJkp+fn2rXrp1m/02aNFGuXLkkSdu3b9fZs2e1ZMkS4/zzzz+f5vXOzs567bXXjP0hQ4bo3LlzaX+oRCipAwAAcO8I2gMAAAB4JK1du1aNGzfW1KlTk9R7Tyw2NlazZs3SqlWrjGOJs+Uzq2TJkurQoYOxP3bsWH366ae6cuVKiu337t2r/v3768iRI0mOOzg4qHfv3sb+0qVL9dFHH+nGjRtJ2kVHR+uDDz7Qr7/+ahx7//33jQcHqcmbN6+eeeYZSZLVatWwYcN08uRJSZKPj0+6QX9J6tChg8qWLSvJnun/3//+VytWrEj1QcmlS5c0d+5cvfDCC5o6dWq6/QMAACBljtk9AQAAAAC4V6dOndKoUaM0atQoFS5cWP7+/kYmfVRUlPbs2ZMkoN68eXMFBwff15jvvfeejh07ZtTGnzVrlubOnavKlSuraNGiMpvNioqK0v79+3XhwgVJSpK1nqBZs2bavn27Zs+eLUmaP3++li9frho1asjb21sXL17Upk2bFBMTY1zz2muv6T//+U+G5tmiRQvjYUXihxYhISEym83pXp8nTx5NnDhRr7/+usLDw3XhwgX16tVL+fPnV1BQkLy9vWWz2XT16lX9888/OnnypBHQT698DwAAAFJH0B4AAADAI8nV1VUmk8moKx8REaGIiIgU2zo4OKhdu3b68MMP73tcR0dHffPNN/ryyy81bdo0xcbGKi4uTlu3btXWrVuTtTebzXJ2dk6xr4EDB8rb21sTJ05UbGysbty4kWL9+Fy5cql79+568803MzzPevXqycPDI9lbAInr3aenWLFiWrBggQYNGqRVq1bJZrPp8uXLaS7m6+7unmThXwAAAGSOyXavKycBAAAAwEO0ZcsWvfrqq5Kk6tWr64cffkjWJioqSuvXr9fOnTt1+PBhnT59WteuXZNkLxFTokQJValSRS1btlSZMmUe+BwjIyO1cOFCbdy4USdPntSVK1dkNpvl5eWlMmXKqFatWmrWrJl8fX3T7OfMmTOaP3++1q9fr/DwcF2/fl158+ZVsWLFVKdOHbVu3VqFCxfO9PwGDx6sOXPmGPulS5fW8uXLM92PJP39999atmyZtmzZovDwcF25ckUODg5yd3eXn5+fKlSooNq1a+upp54y6unfzd/f39g+fPjwPc0DAADgcUfQHgAAAAAAAACAHIKFaAEAAAAAAAAAyCEI2gMAAAAAAAAAkEMQtAcAAAAAAAAAIIcgaA8AAAAAAAAAQA5B0B4AAAAAAAAAgByCoD0AAAAAAAAAADkEQXsAAAAAAAAAAHIIgvYAAAAAAAAAAOQQBO0BAAAAAAAAAMghCNoDAAAAAAAAAJBDELQHAAAAAAAAACCHIGgPAAAAAAAAAEAOQdAeAAAAAAAAAIAcgqA9AAAAAAAAAAA5BEF7AAAAAAAAAAByCIL2AAAAAAAAAADkEATtAQAAAAAAAADIIQjaAwAAAAAAAACQQxC0BwAAAAAAAAAgh3DM7gkAQE627VSJ7J4CAAB4zH1Yolp2TwEAADzmVlvnZ/cUkAlk2gMAAAAAAAAAkEMQtAcAAAAAAAAAIIcgaA8AAAAAAAAAQA5B0B4AAAAAAAAAgByCoD0AAAAAAAAAADkEQXsAAAAAAAAAAHIIgvYAAAAAAAAAAOQQBO0BAAAAAAAAAMghCNoDAAAAAAAAAJBDELQHAAAAAAAAACCHIGgPAAAAAAAAAEAOQdAeAAAAAAAAAIAcgqA9AAAAAAAAAAA5BEF7AAAAAAAAAAByCIL2AAAAAAAAAADkEATtAQAAAAAAAADIIQjaAwAAAAAAAACQQxC0BwAAAAAAAAAghyBoDwAAAAAAAABADkHQHgAAAAAAAACAHIKgPQAAAAAAAAAAOQRBewAAAAAAAAAAcgjH7J4AAABAdos4bdL0Lx115qRJN29IHl5S7foWvRBqkWMavy21b5Qr2bHuH8ap1rNWSdK2Px20dqlZJ4+aFBcnFS1uU6vQeAVWsxntrRZpwQ9mbVxr1pVLUn4v6en/WNTyFYtMpgf+UQEAAAAAORxBewAA8K/n6GhTnYYWlShrUx43m04eddDUcY6yWqW2nSxpXvtGnzgFVrMa+65ud84d2mfSk8FWte5oVZ480u+rHDR2oJOGjI9TiTL2wP2SuWatXWLWm33jVbS4Vcf/dtB3Yxzlmkdq/ELaYwMAAAAAHj8E7QEAwL9egUJSgUJ3Au/evlYd3GvR4f0OktIOnLu6SR6eKZ8L7Zb02radLNq5yUG7NjmoRBn7uSMHTKpS26rKNezj+xS0atNvVh09TJo9AAAAAPwbUdMeAADgLmfPSHu3Oah8oDXdtt+Pd9Rb/3XWwB5O+n2lg2y21NtardKtGJPy5L3TqGwFm/7a5aDIcHuQ/uRRkw7vd1ClaumPDQAAAAB4/JBpDwAA8P+G9HTSiSMmxcWZ9GyIRf99Le0s+/++Fq+AIKucXaR92x004ytH3bppSbWszfL5Zt26JdWodycg37ydRTdjpL4dneTgYA/st+5g0VMNCNoDAAAAwL8RQXsAAID/12NAnG7dNOnkUZPmTHbU8vlmPdc29cD9C+3vnCtRxqLbt6Rl880pBu03rnPQollmvTskTvny3zm+5XcHbVxnVrcP4lW0hE0n/zFp1kRHeXjZVPc/BO4BAAAAPJ6sZ5/IlnEdCv6dLeNmBkF7AACA/+dVQJJsKlLcJqs1XtO+cFSzFy1yMGfs+tLlbQqbbVJcrOTkfOf4pt8cNOVzR739cbyeDE5aP2fOZEc1bxuvWs/aA/TFStoUdd6iJT+ZCdoDAAAAwL8QNe3xyAsPD5e/v78OHjyYapuFCxeqatWqWTirf5/Q0FANHTo0u6cBAA+MzSZZ4iVrGjXq73bqH3u9+sQB+43rHPTdGEd1/zDeWGw2sdhbkumu38gcHCQb8XoAAAAA+Fci0x7/Cs2aNVO9evWybfy33npLhw4d0sWLF5UvXz7VqlVLffr0ka+vb4b72LJli1599dVkx9evXy8fH58HOd17Mn78eDk6Pvz/pYSGhqpcuXIaMGBAmu3Cw8PVoEGDZMfnzp2roKCghzQ7AI+qDWsdZHaUipWwycnZpmN/O2jeVEfVeMaqhP+1bVvvoHnTzBo9LU6StHOTg65elsqUt1+zf6eDFv9kVrMX75TG2bjOQZNGOap9t3iVLmfVlUv24865JNc89u3KNa365UdHeRWIV9HiVp34x0ErFphVr3Ha9fQBAAAA4FFmVfZkKj0KWewE7fGv4OLiIhcXl1TPx8bGytnZOdXz96tmzZp666235OPjo3PnzmnUqFHq2bOnfvrpp0z3tXLlSrm5uRn7Xl5eD3Kq98zDwyO7p5CiGTNmqEyZMsZ+Tp0ngOxlNktL55p1Ntwkm03y9rWp0fMWNfnvncD5zRtS5Ok7v96ZHW1as9hRs7+1X+Nb2KaX34zXs83u/OK5bplZFotJ34930vfj74z3dCOL3uwbL0l6tUe8fp5h1oyvHHXtipTfS6ofYklSLx8AAAAA8O9hstlsmXjpG8g+VqtVU6dO1bx58xQZGSlvb2+1bdtWzZs3V4MGDTR+/Hj98MMP2rt3r4oXL64hQ4aocuXKkuzlcYYNG6bt27dLsmeFr1mzRu3bt9fEiRMVERGhQ4cOKTQ0VGXLlpUk/fLLL3J0dNRLL72knj17ymQyJZtTdHS0ateurfHjxyfJ5F+9erX69u2rjRs3Knfu3MmuW7t2rbp37659+/bJycnJmN+IESM0atQoRUZGqnr16vrss89UqFAhSXcy7bdt2yZ3d/cM37fY2FiNGzdOS5cu1fXr11W2bFn16dNHNWrUSHJvxo0bp2HDhuns2bMKDg7W8OHDVaBAAUlSfHy8RowYobCwMJnNZr344ouKiorS9evX9c0330hKngFfv359tWnTRidPntTKlSuVL18+de3aVW3btjXmFhkZqREjRmjDhg1ycHBQlSpVNGDAABUtWjTFz9K/f38tWrQo2b1MqX1Cpn1YWJjKly+f4ft1t22nStzztQAAABnxYYlq2T0FAADwmFttnZ/dU0jmdmSpbBk3V6Fj2TJuZjwKbwMAkqSxY8dq8uTJ6tatm5YvX64xY8bI29vbOD9u3Dh16tRJYWFhKlGihHr37q34+PhU+zt16pRWrVqlCRMmKCwszDi+aNEimc1mzZ8/XwMGDNCMGTM0f37K/2Nzc3PTM888o6VLlyY5vmTJEjVs2DDFgP2VK1e0ZMkSVa5cWU5OTsbxW7duaeLEiRo5cqTmzJmja9eu6d133012fcuWLVWnTh116NBBO3bsSPXzJfjkk0+0a9cujRs3TosXL1aTJk3UuXNnnThxIsnY06ZN06hRozRr1ixFRkZq5MiRxvnJkydryZIlGj58uH788UdFR0drzZo16Y49ffp0PfnkkwoLC9PLL7+swYMH69gx+/8Y4+Li1KlTJ+XJk0ezZ8/WnDlz5Orqqs6dOys2NjbF/gYMGKDKlSurTZs2Wr9+vdavX2881EhN165dVatWLb300ktau3ZtunMGAAAAAAAAshNBezwSoqOjNXPmTL3//vt64YUX5Ofnp6pVq6p169ZGm44dO+qZZ55RyZIl9c477+jMmTM6efJkqn3GxcVp1KhRqlChgsqVK2ccL1SokD788EOVKlVKLVq0UPv27TVjxoxU+2nRooXWrFmjmzdvGnP93//+p+bNmydpN3r0aAUFBalGjRqKjIw0MtQTz2fgwIGqXLmynnzySY0YMUK7du3S3r17JUk+Pj4aMmSIvvrqK3311VcqWLCgXn31Vf3111+pzi0iIkILFy7Ul19+qapVq8rPz0+dOnVSlSpVtHDhwiRjDxkyRBUrVlRAQIBeeeUVbd682Tg/a9YsvfHGG2rUqJFKly6tgQMHZijbv27dunrllVdUvHhxdenSRfnz59eWLVskScuXL5fVatXQoUPl7++v0qVLa/jw4YqMjNTWrVtT7C9v3rxycnKSi4uLfHx85OPjI7PZnGJbV1dX9e/fX19++aUmTZqkKlWqqHv37gTuAQAAAAAAcgCrbNny9Sigpj0eCceOHVNsbKxq1qyZaht/f39jO2Fh1kuXLql06dIpti9cuLA8PT2THa9UqVKSUjhBQUGaPn26LBaLJk+erEmTJhnnli1bprp168rJyUnr1q1TSEiIVq1aJTc3N9WuXTtJv506ddKLL76oiIgITZgwQf369dOkSZOMsRwdHVWxYkWjfenSpeXu7q6jR48qMDBQpUqVUqlSd14bCg4O1unTpzVjxgyNHj1aixcv1qBBg4zzkydPVnR0tCwWi5o0aZJkLrGxsUlqu+fOnVt+fn7GfoECBXTx4kVJ0vXr1xUVFaXAwEDjvNlsVkBAgKzWtBcMSfw9MZlM8vb2Nvo9dOiQTp06peDg4CTX3L59W6dOndL27dvVpUsX4/iQIUPUokWLFMcJCQlRRESEJKlKlSqaMmWKPD091aFDB6NNYGCgzp8/r6lTp6a4QC0AAAAAAACQExC0xyMhV65c6bZJXGomIRCeVlA5pdI16WnXrp2aNm1q7BcoUECOjo5q3LixlixZopCQEC1dulTNmjWTo2PSf16enp7y9PRUyZIlVbp0adWrV0+7d+826u7fi4oVK2rnzp2S7DXkK1WqZJzz9fXVunXrZDabtWDBgmQZ6a6ursb23XM1mUx6EMtdpNVvTEyMAgICNGbMmGTXeXp6ysnJKUnZorQW3P3uu++MUkhpLThcqVIlbdy4MTMfAQAAAAAAAMhSBO3xSChRooRcXFy0efNmFStW7KGOlVCOJsGePXtUvHhxmc1meXh4JMlQT9C8eXN17NhRR44c0ebNm9WrV680x0h4mJC4dnt8fLz2799vZLQfO3ZM165dS/VNAcmerZ7wVoGbm5vc3NySnC9fvrwsFosuXbqkqlWrpjmn1OTNm1fe3t7at2+fqlWzL5JmsVh04MCBJGWFMisgIEArVqyQl5dXsnknKF68eLJjTk5OyR7GFClSJENjHjx40LhfAAAAAAAAyD5WpV3B4d+MoD0eCbly5VKXLl00evRoOTk5KTg4WJcuXdKRI0dUq1atBzpWRESEhg8frrZt2+rAgQOaNWuW+vXrl+Y11apVk7e3t/r06aOiRYsmyXjfs2eP9u3bpypVqsjd3V2nTp3Sl19+KT8/vyRZ9k5OTvr000/10UcfyWw269NPP1VQUJARxJ8xY4aKFi2qsmXL6vbt25o/f742b96sadOmpTqvkiVLqnnz5urbt6/69++v8uXL6/Lly9q0aZP8/f31zDPPZOietG/fXpMmTZKfn59KlSqlWbNm6erVq0nKCGVW8+bNNXXqVHXt2lU9e/aUr6+vIiIitHr1anXu3FkFCxZM8boiRYpoz549Cg8Pl6urqzw8POTgkHx5jkWLFsnJyUnly5eXJK1evVoLFizQZ599ds9zBvDvE31Nmvm1o3ZudpCDSar2tFWh3eLlkoGXtWw2afQAJ+3d5qBeg+NU9ak7v5Du32nSgu8ddfq4SblcpKcbWdS6o0UJL0Ud2GPSygVmHT3soFsxkm9hm0LaWPRUA36pBQAAAIDHHUF7PDK6desms9msr776SufPn5ePj4/atWv3wMdp2bKlbt26pdatW8tsNuvVV19V27Zt07zGZDIpJCREU6ZMUffu3ZOcc3Fx0a+//qrx48crJiZGPj4+evrpp9WtWzc5OzsnadelSxf17t1b586dU9WqVTV06FDjfFxcnEaOHKlz584pd+7ceuKJJzR9+vQ06/xL0vDhwzVx4kSNGDFC58+fl4eHh4KCgjIcsJekLl26KCoqSv369ZPZbFabNm1Up06dVBeBzYjcuXNr1qxZGjNmjHr06KEbN27I19dXtWrVSjXzXrIvONy/f3+FhITo1q1bWrt2rYoWLZpi22+++UYREREym80qVaqUxo0bl6y+PwB81ttJdf9jUd3GyQPi34xw0pWLUv8RcbJYpO9GO2rqOEd1/zA+3X5XLjTLlMIiRyePmjTmIyc9/5JFb/a16HKUSdO/dJTVKr38pkWSdOQvBxUrZdNzbeOUL79Nuzab9e0oR7nmiVflmgTuAQAAADz6LA+gNPPjymR7EIWrgcdEaGioypUrpwEDBmTpuAsXLtSwYcO0ffv2LB33XlmtVjVt2lRNmzZNtxTQo27bqRLZPQUAD1lqQfszJ03q19lZn0yIVSl/+69Le7aZNGaAk776MVb5vVPv8+Q/Jo352Emffh2rHm1zJcm0nzvVrP07HfTp13FG+52bHDT+M0d9Mz9WuV1T7nP0AEflyy+90Sf9BwYAHi0flqiW3VMAAACPudXW+dk9hWSuRfhly7juhU9ly7iZkbymBADc5cyZM5o3b56OHz+uw4cPa/DgwTpz5oyaN2+e3VMDgIfmn4MmubrZjIC9JD0ZbJPJJP1zKPVfoW7fkr4e7qjX346Xh2fy8/FxkpNz0mPOuWyKizXp+JHUy47dvGGSW15yLQAAAADgcUd5HADpcnBw0MKFCzVy5EjZbDajNE9ai+QCQE71y49mLZ5zp7xXbKx09KCjvp9wp83IqbG6cskkd4+kQXKzWXJzl65eTr3/Wd86qmwFm6rUTrmMTWBVq1YuMmvjOgfVrGfVlcvSoln2X8muXDRJKZTU2fy7g479bVLHXpTGAQAAAPB4sKbwtw/sCNoDifzwww/ZMm6rVq3UqlWrbBk7IwoVKqSffvopu6cBAA9Eg+csqlHPYuxPHOGkanWsqlrnzrH8XvfW946NDjqwy6Sh38al2qZiVZte6mLR9C8d9e1Ie9b9869YdHifg1JYV1sHdps0eYyjOr0br6Il+KUWAAAAAB53BO0BAMC/ipu7/SuBk7Pk7mFTwSJJ23l42nTtStJyNRaLFH1Nypc/5b4P7DbpfKRJb7RMWv/my08c5f+kTR+NtQfzm71oUdP/WnTlopQnr3ThrEnzpko+hZIG5Q/uMWnsx0565a14Pd2ILHsAAAAAjw8LmfapImgPAACQgjLlbYqJNun43yaVfML+y+SBXSbZbFKZcikH0Ju3s+iZpknPffCGs9q/ZVHlmpYkx00mGYvZbvrNQV4+NpUsc+eX1gN7TBr7kZPadY5X/RAC9gAAAADwb0HQHgAA/Kvcumn/StBjgD37/cqlO8fc80lFitsUWM2qKeMc1bFnvCzx0vcTHFXzGasRbL8UJQ3v66S3+sardDmbPDztGfp38ypgU4FCd/aXzjOrUjWrTCZp23oHLZlr1tsfxcvh/0vtH9htz7D/T0uLqj1tNebm6Jj0LQEAAAAAeFRR0z51BO0BAMC/yrL5Zi36Ie1fgcb9cFs+BaVu/eP0/QRHDe/rJJNJqva0Va92jzfaWeKlyNMOun07c3PYu81Bi380Ky5O8itl03tD4lWp+p1s+j9/Nev2LZOW/OSoJT/dmWu5QKtRYgcAAAAA8Hgy2Ww2HmkAQCq2nSqR3VMAAACPuQ9LVMvuKQAAgMfcauv87J5CMhciiqTf6CHwKXwmW8bNDDLtAQAAAAAAAABZykIueaocsnsCAAAAAAAAAADAjkx7AAAAAAAAAECWsqbf5F+LTHsAAAAAAAAAAHIIMu0BAAAAAAAAAFnKImrap4ZMewAAAAAAAAAAcgiC9gAAAAAAAAAA5BCUxwEAAAAAAAAAZCkL1XFSRaY9AAAAAAAAAAA5BJn2AAAAAAAAAIAsZc3uCeRgZNoDAAAAAAAAAJBDkGkPAAAAAAAAAMhSFpmyewo5Fpn2AAAAAAAAAADkEATtAQAAAAAAAADIISiPAwAAAAAAAADIUlZbds8g5yLTHgAAAAAAAACAHIJMewAAAAAAAABAlmIh2tSRaQ8AAAAAAAAAQA5Bpj0AAAAAAAAAIEuRaZ86Mu0BAAAAAAAAAMghCNoDAAAAAAAAAJBDUB4HAAAAAAAAAJClrDbK46SGoD0ApOHDEtWyewoAAOAx98Gxvdk9BQAAAOQgBO0BAAAAAAAAAFmKhWhTR017AAAAAAAAAAByCDLtAQAAAAAAAABZykI+eaoI2gMAAAAAAAAAcJcff/xRc+bM0ZkzZyRJZcuWVbdu3VSvXr0U2y9cuFAffPBBkmPOzs7at29fpsYlaA8AAAAAAAAAwF0KFiyoPn36qHjx4rLZbAoLC1P37t21aNEilS1bNsVr3NzctHLlSmPfZMp87X6C9gAAAAAAAACALGW15fyFaOvXr59k/91339WcOXO0e/fuVIP2JpNJPj4+9zUuQXsAAAAAAAAAwL9CbGysYmNjkxxzdnaWs7NzmtdZLBatXLlSMTExqly5cqrtYmJi9Oyzz8pqtapChQp67733Ug3wp4agPQAAAAAAAAAgS1mUPZn2kyZN0oQJE5Ic69Gjh95+++0U2x8+fFjt2rXT7du35erqqq+//lplypRJsW3JkiU1bNgw+fv76/r165o2bZratWunZcuWqWDBghmeo8lms9ky/pEA4N+lkUPr7J4CAAB4zH1wbG92TwEAADzm6pc4nN1TSGbjyVLZMm7VQocylWkfGxuryMhIXb9+XatWrdL8+fM1a9asVAP3icXFxalZs2YKCQlRr169MjxHMu0BAAAAAAAAAFnKYnPIlnEzUgrn7vbFixeXJD355JPat2+fZs6cqU8++STda52cnFS+fHmdOnUqU3PMnjsDAAAAAAAAAMAjxmq1JsvUT43FYtHff/+d6YVpybQHAAAAAAAAAOAuY8eOVd26dVWoUCHduHFDS5cu1datWzV16lRJUt++feXr66vevXtLkiZMmKCgoCAVL15c165d09SpUxUREaHWrTNXfpmgPQAAAAAAAAAgS1kfgSIwFy9eVL9+/XT+/HnlzZtX/v7+mjp1qp566ilJUmRkpBwc7nyOa9eu6eOPP9aFCxeUL18+BQQE6KeffspQ/fvEWIgWANLAQrQAAOBhYyFaAADwsOXEhWh/P/FEtoxbr8Tf2TJuZpBpDwAAAAAAAADIUhaZsnsKOVbOfwcBAAAAAAAAAIB/CTLtAQAAAAAAAABZymIjnzw13BkAAAAAAAAAAHIIgvYAAAAAAAAAAOQQlMcBAAAAAAAAAGQpKwvRpopMewAAAAAAAAAAcggy7QEAAAAAAAAAWcpCPnmqCNoDAAAAAAA8ZGdPS3O+kiJPSTdvSPm8pGrPSs+1l8wZiM5EX5OGdpWuREljF0iubvbjf++RxvVN3n7EHCmfZ/Ljq+ZKYdOkZ1tKbbre10cCADwkBO0BAAAAAAAeMrOjVKOh5FdGyu0mhR+TZn8h2axSy47pXz/rc6lISXvQPiWDp0ournf283okb3PisPTnMns/AJDdLDYy7VND0B4AAAAAAOAh8ylk/0rg5Ssd2Sv9sz/9a39fIsXckJq9Iv21LeU2eT3uZN+n5NZNafpI6ZVe0oo5mZk5ACCr8TgDAAAAAAAgi50/I/21XSobmHa7yJPS8h+l19+XHEyptxvaTer3kvRlf+noX8nP/zRBerK6VD74/uYNAHj4yLQHAAAAAADIIqN7Saf+keLjpDrNpOavpt42LlaaOlxq1VnyLCBFRSZv4+4pvfyO5PeEFB8rbVgpff6+1O9Lya+svc22/0mn/5H6j38YnwgA7o2VfPJUEbQHAAAAAADIIp0+lG7ftNe0XzhFWvOz9J82Kbf9ZbpU0E+q0SD1/goWs38lKB1gD+6vXSR16CtdOi/Nnyi9M1xycn6wnwUA8HAQtAcAAAAAAMgingXs/y1UXLJapdlfSg3/KzmYk7c9vFs6c0Lq3tS+b/v/4++3lpq8lHqWfnH/OyVyTv0jXb8iDe9+57zVKv2zT/p9sTR+acpjA8DDZrGlUfPrX+6xDtqHh4erQYMGCgsLU/ny5VNss3DhQg0bNkzbt2/P4tn9e4SGhqpcuXIaMGBAdk8FAAAAAIAcw2aVLPGSzZby+Tc+lmJj7+yfPCz98LnUe6zkXTj1fsOPSvk87dvlgqSPJiU9/8NYybeYPcOfgD0A5DyPddA+I5o1a6Z69epl2/hvvfWWDh06pIsXLypfvnyqVauW+vTpI19f3wz3sWXLFr36avLH6+vXr5ePj8+DnO49GT9+vBwdH/6PWkYfDiQ8zLnb3LlzFRQU9JBmJ23fvl1jxozR8ePHdfPmTRUuXFjt2rXT66+/nqTd7NmzNXXqVF24cEHlypXTxx9/rMDAdFYm+n/+/v76+uuv1bBhwwy1P3/+vEaOHKn9+/fr5MmTCg0NTXb/5s2bp7CwMB05ckSSFBAQoPfeey/Dc6pfv75effXVZJ/zYYqLi9MXX3yhP/74Q6dPn5abm5tq166t3r17Z+rfFgAAAAA8KFvXSWazVLik5OgknfpbCpsuVa0nmf//T+bdG6SwadLgqfZ9n7sC8zeu2v9b0E9ydbNvr10oeRe0Z+7HxUkbVkiH90jvDLOfd3GVipRI2o+zi5Qnb/LjAJCVLNS0T9W/Pmjv4uIiFxeXVM/HxsbK2fnhFX2rWbOm3nrrLfn4+OjcuXMaNWqUevbsqZ9++inTfa1cuVJubm7GvpeX14Oc6j3z8PDI7imkaMaMGSpTpoyx/7Dn6erqqvbt28vf31+5c+fWjh07NGjQIOXOnVtt27aVJC1fvlzDhw/XkCFDVKlSJX3//ffq1KmTVq5c+VC+n7GxscqfP7+6du2qGTNmpNhmy5YtCgkJUXBwsJydnTVlyhR17NhRy5Yty7EB8Fu3bunAgQPq2rWrypUrp2vXrmno0KHq2rWrFi5cmN3TAwAAAPAv5OAgrZonnT8jyWYvk/NMC6lBqzttbt6QzoVnrl9LvLTgO+nKRck5l1SkpNRzuOQf9CBnDwDISiabLbWXsB4dVqtVU6dO1bx58xQZGSlvb2+1bdtWzZs3V4MGDTR+/Hj98MMP2rt3r4oXL64hQ4aocuXKkpKXxxk/frzWrFmj9u3ba+LEiYqIiNChQ4cUGhqqsmXty67/8ssvcnR01EsvvaSePXvKZEpefyk6Olq1a9fW+PHjk2Tyr169Wn379tXGjRuVO3fuZNetXbtW3bt31759++Tk5GTMb8SIERo1apQiIyNVvXp1ffbZZypUqJCkO5n227Ztk7u7e4bvW2xsrMaNG6elS5fq+vXrKlu2rPr06aMaNWokuTfjxo3TsGHDdPbsWQUHB2v48OEqUMBehC8+Pl4jRoxQWFiYzGazXnzxRUVFRen69ev65ptvJCXPgK9fv77atGmjkydPauXKlcqXL5+6du1qBK4lKTIyUiNGjNCGDRvk4OCgKlWqaMCAASpatGiKn6V///5atGhRsnuZUvuMlE1Ky5YtWzR69Gj9888/cnR0VJkyZTR27FgVKVIk03316NFDuXPn1ujRoyVJrVu3VsWKFTVw4EBJ9p/tevXqKTQ0VG+88UaafdWvX19nzpwx9osUKaJ169ZleC4ZfVPBYrGoWrVqGjhwoFq2bJlun1u3bk1y7PDhw7p8+bI+/fRTbdu2TdeuXZOfn5/efPNNPffcc0a76OhoDRo0SGvXrpWbm5s6d+6stWvX3nOppb1796p169b67bffVLhwGu+R3qWRQ+tMjwUAAJAZHxzbm91TAAAAj7n6JQ5n9xSSmX+0SraM27r0jmwZNzMei3cQxo4dq8mTJ6tbt25avny5xowZI29vb+P8uHHj1KlTJ4WFhalEiRLq3bu34uPjU+3v1KlTWrVqlSZMmKCwsDDj+KJFi2Q2mzV//nwNGDBAM2bM0Pz581Psw83NTc8884yWLl2a5PiSJUvUsGHDFAP2V65c0ZIlS1S5cmU5OTkZx2/duqWJEydq5MiRmjNnjq5du6Z333032fUtW7ZUnTp11KFDB+3Ykf4P3yeffKJdu3Zp3LhxWrx4sZo0aaLOnTvrxIkTScaeNm2aRo0apVmzZikyMlIjR440zk+ePFlLlizR8OHD9eOPPyo6Olpr1qxJd+zp06frySefVFhYmF5++WUNHjxYx44dk2QvbdKpUyflyZNHs2fP1pw5c+Tq6qrOnTsrNnExv0QGDBigypUrq02bNlq/fr3Wr19vPNRITdeuXVWrVi299NJLWrt2bbpzluwPKbp3765q1app8eLFmjt3rtq2bZvig5v0HDhwQLt27VL16tUl2R+i/PXXX6pdu7bRxsHBQbVr19auXbvS7e/nn3+WJA0fPlzr16839h+0mzdvKj4+Xvny5Uu37fjx41WwYEG98847xvdFsn/WgIAAfffdd1q6dKnatGmjvn37au/eO3+wjhgxQrt27dLEiRM1bdo0bd++XX/99dc9zzs6OlomkylTD7YAAAAAAADwcFhtDtny9Sh45MvjREdHa+bMmRo4cKBeeOEFSZKfn5+qVq2q8HD7O2UdO3bUM888I0l65513FBISopMnT6p06dIp9hkXF6dRo0bJ09MzyfFChQrpww8/lMlkUqlSpfT3339rxowZatOmTYr9tGjRQu+//75u3ryp3LlzKzo6Wv/73/80YcKEJO1Gjx6t2bNn6+bNmwoKCtK3336bbD4DBw5UpUqVJNmDmc2aNdPevXsVGBgoHx8fDRkyRE8++aRiY2M1f/58vfrqq5o3b54CAgJSnFtERIQWLlyo3377zShx0qlTJ/35559auHCh3nvvPWPsIUOGyM/PT5L0yiuvGBn0kjRr1iy98cYbatSokSRp4MCB+uOPP1IcM7G6devqlVdekSR16dJFM2bM0JYtW1SqVCktX75cVqtVQ4cONYLhw4cPV7Vq1bR161bVqVMnWX958+aVk5OTXFxc0q3j7+rqqv79+ys4OFgmk0m//vqrunfvrq+//jrFWveJRUdH6/r163r22WeNe5Laz1Fan/3SpUuyWCzq0aOHWre2Z3JfvnxZFoslWRkcLy8v44FGWhJ+Xt3d3R/qWgZjxoxRgQIFkjxcSI2Hh4fMZrPy5MmTZE6+vr7q1KmTsR8aGqr169drxYoVCgwMVHR0tMLCwjRmzBjVqlVLkv1n4Omnn76nOd++fVtjxoxRSEhIkhJSAAAAAAAAQE7zyAftjx07ptjYWNWsWTPVNv7+/sZ2QuDw0qVLqQZbCxcunCxgL0mVKlVKklEdFBSk6dOny2KxaPLkyZo06c5y7MuWLVPdunXl5OSkdevWKSQkRKtWrTIWxEysU6dOevHFFxUREaEJEyaoX79+mjRpkjGWo6OjKlasaLQvXbq03N3ddfToUQUGBqpUqVIqVaqUcT44OFinT5/WjBkzNHr0aC1evFiDBg0yzk+ePFnR0dGyWCxq0qRJkrnExsYmqe2eO3duIzgtSQUKFNDFixclSdevX1dUVFSSBUnNZrMCAgJktVpTvLcJEn9PTCaTvL29jX4PHTqkU6dOKTg4OMk1t2/f1qlTp7R9+3Z16dLFOD5kyBC1aNEixXFCQkIUEREhSapSpYqmTJkiT09PdejQwWgTGBio8+fPa+rUqekG7T08PNSqVSt16tRJTz31lGrVqqWmTZsa5YIyYvbs2YqJidGePXs0duxYFS9ePElZmJzsu+++0/LlyzVz5kzlypXrnvuxWCz69ttvtXLlSp07d05xcXGKjY011pcIDw9XXFxckp+tvHnzqmTJkpkeKy4uTj179pTNZtOQIUPuec4AAAAAAAB4cFiINnWPfNA+I4HDxKVmEgLhaQWVUypdk5527dqpadOmxn6BAgXk6Oioxo0ba8mSJQoJCdHSpUvVrFkzOTomve2enp7y9PRUyZIlVbp0adWrV0+7d+826u7fi4oVK2rnzp2S7LXOE7L0JXuW87p162Q2m7VgwQKZzeYk17q6uhrbd8/VZDLpQSyDkFa/MTExCggI0JgxY5Jd5+npKScnpyRli9JaoPW7774zSiGlteBwpUqVtHHjxgzNffjw4QoNDdWff/6pFStW6IsvvtD06dMVFBSUoeuLFSsmyf7gIioqSuPHj9dzzz2n/Pnzy2w2Gw8vEly8eDFJuafsMnXqVH333XeaPn26ypUrd999zZw5Ux9++KGxMO+wYcMUFxf3gGZrFxcXp169eikiIkLff/89WfYAAAAAAADI8R75oH2JEiXk4uKizZs3G8HQhyVxvW1J2rNnj4oXLy6z2SwPD48kGeoJmjdvro4dO+rIkSPavHmzevXqleYYCQ8TEtduj4+P1/79+42s42PHjunatWtplmU5dOiQ8VaBm5tbsmBl+fLlZbFYdOnSJVWtWjXNOaUmb9688vb21r59+1StWjVJ9gzqAwcO3FdQNyAgQCtWrJCXl1eqQdbixYsnO+bk5JTsYUxGF4c9ePBgpkrKVKhQQRUqVNCbb76ptm3baunSpRkO2idmtVqNQLWzs7MCAgK0adMmNWzY0Di/adMmtW/fPkP9OTk5yWKxZHoe6Zk8ebK+/fZbTZ06NclbHxmd093fl507d6pBgwZ6/vnnJdk/54kTJ4yf6aJFi8rJyUn79u0zFo29fv26Tpw4keGf14SA/cmTJzVz5kzlz58/U/MGAAAAAADAw2OxZX6NyH+LRz5onytXLnXp0kWjR4+Wk5OTgoODdenSJR05csSohf2gREREaPjw4Wrbtq0OHDigWbNmqV+/fmleU61aNXl7e6tPnz4qWrRokoz3PXv2aN++fapSpYrc3d116tQpffnll/Lz80uSZe/k5KRPP/1UH330kcxmsz799FMFBQUZQfwZM2aoaNGiKlu2rG7fvq358+dr8+bNmjZtWqrzKlmypJo3b66+ffuqf//+Kl++vC5fvqxNmzbJ39/fWAMgPe3bt9ekSZPk5+enUqVKadasWbp69eo9LcyaoHnz5po6daq6du2qnj17ytfXVxEREVq9erU6d+6sggULpnhdkSJFtGfPHoWHh8vV1VUeHh5ycEj+ms2iRYvk5OSk8uXLS5JWr16tBQsW6LPPPkt3bqdPn9a8efNUv359FShQQMePH9eJEyeM4HNaZs+erUKFChmljLZt26Zp06YpNDTUaNOhQwf169dPTz75pAIDA/X999/r5s2batWqVbr9J9yDTZs2KTg4WM7OzhlaLPbgwYOSpBs3bujSpUs6ePCgnJycVKZMGUn2txW++uorjR07VkWKFNGFCxck2d/IyJMnT4bmtG3bNoWEhMjJyUmenp4qXry4Vq1apZ07dypfvnyaPn26oqKijKC9m5ubWrZsqVGjRilfvnzy8vLS+PHjZTKZMvSzFRcXp3feeUcHDhzQpEmTZLFYjHnny5dPzs7O6fYBAAAAAFnhxjVp7jfSvi2SySRVriO17iq5pFEE4PP3pSNJ8wr1dDPp5Z727U2/SjPHpnztyLmSu4f0/Rhp8+rk5wv5SQMn39NHAQA8II980F6SunXrJrPZrK+++krnz5+Xj4+P2rVr98DHadmypW7duqXWrVvLbDbr1VdfVdu2bdO8xmQyKSQkRFOmTFH37t2TnHNxcdGvv/6q8ePHKyYmRj4+Pnr66afVrVu3JEFFFxcXdenSRb1799a5c+dUtWpVDR061DgfFxenkSNH6ty5c8qdO7eeeOIJTZ8+Pc06/5K9zMvEiRM1YsQInT9/Xh4eHgoKCspwwF6yLyIbFRWlfv36yWw2q02bNqpTp06ykjuZkTt3bs2aNUtjxoxRjx49dOPGDfn6+qpWrVppljfp2LGj+vfvr5CQEN26dUtr165V0aJFU2z7zTffKCIiQmazWaVKldK4ceOS1fdPbW7Hjh3TokWLdOXKFRUoUECvvPJKhn7erFarPv/8c4WHh8tsNsvPz099+vRJcm2zZs106dIlffXVV7pw4YLKly+vKVOmZLg8Tr9+/TRixAjNnz/fKIOUnpYtWxrbf/31l5YuXaoiRYoY1/70009GEDyxHj166O233063/3feeUcDBw5Uw4YNFRsbq8OHD6tr1646ffq0OnXqpNy5c6tNmzZq2LChrl+/blzXv39/DRo0SG+99Zbc3NzUuXNnRUZGZqgk1rlz54z53/1AZebMmapRo0a6fQAAAADAg/L5+1KtRlKt/yQ/N22kdO2S9M5wyRJvD7bP/kLq9EHafdZpKj336p1950R/KlWpJ1W46yXlmWOkuDh7wF6S2nSVWna8c95qkYZ2lYLrZuaTAQAeBpPtQRQo/xcIDQ1VuXLlNGDAgCwdd+HChRo2bJi2b9+epePeK6vVqqZNm6pp06bplgICMiMmJkZ169ZVv3791Lp16ywbt5FD1o0FAAD+nT44tjf9RgAeaakF7SNPSZ90kfqPl4o/YT/21zbp64+lYbMlj1SWcPv8faloKXvgPSOuX5E+eEUKfVeq0TDlNrs3St99In36veTlm7F+ATw66pc4nN1TSOb7I7WzZdzXymZsXcvs9Fhk2iP7nDlzRhs2bFC1atUUGxur2bNn68yZM2revHl2Tw2PuAMHDujYsWMKDAzU9evX9fXXX0uSGjRokM0zAwAAAIAH4/hBKbfbnYC9JJULtpfJOXFICnoq9Wu3/SZtXSe555cCa0rNXpacXVJuu2WNPRO/8tOp97dxpVSuMgF7AMgJCNrjvjg4OGjhwoUaOXKkbDabUZonrUVyc7rE6wncbfLkyakuhBoSEqKIiIgUzw0ZMkQtWrS4r3ktXrxYgwYNSvFc4cKFtWzZsiyf0/bt29WlS5dUz+/ateu++p82bZqOHz8uJycnBQQEaPbs2fL09Hzo4wIAAADA/VgxR1r105392Fh7gH7u13eODZwsXb0k5fVIeq3ZLLnmtZ9LTbVnJa8CUj4v6cxxadFU6Vy49ObAlNtvWGW/xjmVaqNXLtoz/Dv2z9DHA4AHwmJLvhYl7CiPA9zl5MmTqZ7z9fWVi0vKqQtnzpxRfHx8iue8vLzSrMefEdHR0bp48WKK5xwdHVWkSJEsn9OtW7d07ty5VM8XL178vvrPCeNSHgcAADxslMcBHj83rkk37izZpekj7QvMJs6c9yoo/TpP2rxGGjI16fXvt5GeC5XqZfAl9kO7pS/7SZ9Ml3wKJz137IA0+l2p/wSpeNmUr1/5k7RmgTTiR8nRKWNjAni05MTyONP+rpMt43Z8Yn22jJsZZNoDd7nXgG9KQfMHyc3NLdNB9oc9JxcXl4cWmM+J4wIAAABARuRxt38lcMplz6gvcNefaPk87fXmE7NYpJjr9nMZVbKc/b8XIpIH7TeslIqWTj1gb7NJG1dJNRoQsAeAnIJ3EAAAAAAAALJByfLSzWjp5JE7xw7vtgfSS5TLeD/hR+3/db8r0H/rprTjD+mpxqlfe2SvPdhfu0nGxwOAB8EqU7Z8PQrItAcAAAAAAHiAbt2Ubt+8s9/pA/t/E9epz5tPKuQnVagqzf5Cevlte5b93K+lKvUkDy97uytR0hf9pNfftwfyL0TYF6ENqC655ZXCj0s/T5LKVpSKlko6jx2/S1aLVL1B6nPdsMreb5ESD+KTAwAeBIL2AAAAAAAAD9Can6Vls9Ju89n39rr2HftJP30tfdFfMpnste/bdLvTzhJvX2Q29rZ93+woHdolrVsk3b4l5fexX9P0peRjbFxpr6Pvmkql1Zs3pF3rpTZv3dvnBID7wUK0qWMhWgBIAwvRAgCAh42FaAEAwMOWExeinXS4XraM+6b/79kybmaQaQ8AAAAAAAAAyFIWlltNFXcGAAAAAAAAAIAcgqA9AAAAAAAAAAA5BOVxAAAAAAAAAABZymozZfcUciwy7QEAAAAAAAAAyCHItAcAAAAAAAAAZCkWok0ddwYAAAAAAAAAgByCTHsAAAAAAAAAQJay2sgnTw13BgAAAAAAAACAHIKgPQAAAAAAAAAAOQTlcQAAAAAAAAAAWcoiU3ZPIcci0x4AAAAAAAAAgByCTHsAAAAAAAAAQJZiIdrUcWcAAAAAAAAAAMghyLQHAAAAAAAAAGQpatqnjkx7AAAAAAAAAAByCIL2AAAAAAAAAADkEJTHAQAAAAAAAABkKRaiTR13BgAAAAAAAACAHIJMewAAAAAAAABAlrKQaZ8q7gwAAAAAAAAAADkEmfYAAAAAAAAAgCxllSm7p5BjEbQHAAAAgGzUZ/hb2T0FAADwmNs5KbtngMygPA4AAAAAAAAAADkEmfYAAAAAAAAAgCzFQrSp484AAAAAAAAAAJBDkGkPAAAAAAAAAMhSVhsL0aaGTHsAAAAAAAAAAHIIMu0BAAAAAAAAAFnKQj55qrgzAAAAAAAAAADkEATtAQAAAAAAAADIISiPAwAAAAAAAADIUixEmzoy7QEAAAAAAAAAuMuPP/6o5s2bKzg4WMHBwWrbtq1+//33NK9ZsWKFmjRpoooVK6p58+bptk8JQXsAAAAAAAAAQJayyiFbvjKjYMGC6tOnjxYuXKgFCxaoZs2a6t69u44cOZJi+507d6p379568cUXFRYWpgYNGqh79+76+++/MzUuQXsAAAAAAAAAAO5Sv3591atXTyVKlFDJkiX17rvvytXVVbt3706x/cyZM/X000+rc+fOKl26tHr16qUKFSpo1qxZmRqXmvYAAAAAAAAAgCxlyaaa9rGxsYqNjU1yzNnZWc7OzmleZ7FYtHLlSsXExKhy5copttm9e7def/31JMfq1KmjNWvWZGqOBO0BAAAAAAAAAP8KkyZN0oQJE5Ic69Gjh95+++0U2x8+fFjt2rXT7du35erqqq+//lplypRJsW1UVJS8vb2THPPy8lJUVFSm5kjQHgAAAAAAAADwr/Dmm2+qQ4cOSY6llWVfsmRJhYWF6fr161q1apX69eunWbNmpRq4fxAI2gMAAAAAAAAAspQ1m8rjZKQUzt3tixcvLkl68skntW/fPs2cOVOffPJJsrbe3t7JsuovXryYLPs+PSxECwAAAAAAAABABlit1mQ18RMEBQVp8+bNSY5t3LhRQUFBmRqDTHsAAAAAAAAAQJay2nJ+PvnYsWNVt25dFSpUSDdu3NDSpUu1detWTZ06VZLUt29f+fr6qnfv3pKkV199VaGhoZo2bZrq1aun5cuXa//+/Slm5aeFoD0AAAAAAAAAAHe5ePGi+vXrp/Pnzytv3rzy9/fX1KlT9dRTT0mSIiMj5eBw5+FDcHCwxowZoy+++EKff/65SpQooa+//lpPPPFEpsYlaA8AAAAAAAAAyFIWZU9N+8wYNmxYmud/+OGHZMeaNm2qpk2b3te4Of8dBAAAAAAAAAAA/iUI2gMAAAAAAAAAkENQHgcAAAAAAOAhc3Y068NXGqh8cV+VLOipP/cdU++JS9K8ppCXu7o0q6Fq5YrJyz2PLlyN1oothzRl+RbFW6xGm2XDOiW79rURc7Tv+Fljv2FwWXV9vrYKe7nr1Pkr+mrhn9qw/8QD/YwAkBlWW84vj5NdCNoDAAAAAAA8ZA4OJt2Oi9dP63apQXDZDF1TsmB+OTiYNHTWGp2+cFWlC3vp49CGcnF21BcL/kzS9q1xP+toxEVj/2r0LWM7sFQhDevcTBPC1uvPvcfVpLq/Pu/aQi8PnZ3kGgBAzkDQHgAAAAAA4CG7FRuv4T+ukyRVKl1YeV1zpXvNxr9OauNfJ439M1FX9cPqHXqxbqVkQfsr0bd08VpMiv283KCyNv11QjN/3SFJmrh4k2qWL662zwRp2I9r7/UjAcB9sdqo3J4agvYAAAAAAACPCLfcuXQt5lay4+O6t1AuR0edPH9Z36/arj/2HjPOVSxVSLPX7EzSftOBk3qmUumHPl8AQOYRtAcAAAAAAHgEFPPJp7bPBumLn/8wjt28Faux83/Xnn8iZLXZ1CC4rD7v2kLvTVxsBO693fMky8K/eO2GvPK5Zun8ASAxq6hpnxqC9gAAAAAAADmcj0ceTXinldbs+FuL1u83jl+5cStJFv2Bk+fkky+PXvtP1STZ9gCARweFgwAAAAAAAHIw73x59N17rbXnaIQ+m7Um3fb7T5xV0QIexn7UtRvyck+aVe/lnkcXr6ZcAx8AkL0e66B9eHi4/P39dfDgwVTbLFy4UFWrVs3CWf37hIaGaujQodk9DQAAAAAAHjk+Hnk0uXdrHTx5ToO//1U2W/rXPFHUR1FXo439fcciVb2cX5I2Ncr7ae+xyAc9XQDIMIvNlC1fj4LHOmifEc2aNdOqVauybfy33npLzzzzjCpWrKg6dero/fff17lz5zLVx5YtW+Tv75/s68KFCw9p1pkzfvx49ezZ86GPk9GHAwkPc+7+2r1790Od3/bt29WuXTvVqFFDgYGBatKkiWbMmJGs3ezZs1W/fn1VrFhRrVu31t69ezM8hr+/v9asST/rIsH58+fVu3dvNW7cWOXKlUvx/s2bN08vv/yyqlWrpmrVqun111/P1Jzq16+f4ud82MaPH68mTZooKCjImPeePXuyfB4AAAAAkKBkIU89UdRH+fK4yC13Lj1R1EdPFPUxzgeU8NWCIa/JxyOPpP8P2L/XWmcvXde4BX8of97c8nJ3TZI1/1zNCmpczV8lfPOrhG9+dWxaTc8/FaC5v+022vy4dpdqBRRX+4bBKuGbX28+V1MVivtq7v/utAEA5Bz/+pr2Li4ucnFxSfV8bGysnJ2dH9r4NWvW1FtvvSUfHx+dO3dOo0aNUs+ePfXTTz9luq+VK1fKzc3N2Pfy8nqQU71nHh4e2T2FFM2YMUNlypQx9h/2PF1dXdW+fXv5+/srd+7c2rFjhwYNGqTcuXOrbdu2kqTly5dr+PDhGjJkiCpVqqTvv/9enTp10sqVKx/K9zM2Nlb58+dX165dUw2sb9myRSEhIQoODpazs7OmTJmijh07atmyZfL19X3gc3pQSpQooYEDB6pYsWK6deuWZsyYoY4dO2r16tXy9PTM7ukBAAAA+Bca36OlCnvnM/Z/+ri9JCn4zXGSJBdnJ5Us6ClHs1mSVLN8cfn55pefb36tGvlGkr4SrpGkLs1qqJCXu+KtVp04e0n9Jy/X2p1HjPN7j0VqwJQV6vZ8bfVo+ZROnb+i9yYu1tGIiw/tswJAeqy2f30+eapMNltGXqzK2axWq6ZOnap58+YpMjJS3t7eatu2rZo3b64GDRpo/Pjx+uGHH7R3714VL15cQ4YMUeXKlSXZy+MMGzZM27dvl2TPzl2zZo3at2+viRMnKiIiQocOHVJoaKjKli0rSfrll1/k6Oiol156ST179pTJlPy1iujoaNWuXVvjx49XvXr1jOOrV69W3759tXHjRuXOnTvZdWvXrlX37t21b98+OTk5GfMbMWKERo0apcjISFWvXl2fffaZChUqJMkeVH311Ve1bds2ubu7Z/i+xcbGaty4cVq6dKmuX7+usmXLqk+fPqpRo0aSezNu3DgNGzZMZ8+eVXBwsIYPH64CBQpIkuLj4zVixAiFhYXJbDbrxRdfVFRUlK5fv65vvvlGkj0Dvly5chowYIAke+Z1mzZtdPLkSa1cuVL58uVT165djcC1JEVGRmrEiBHasGGDHBwcVKVKFQ0YMEBFixZN8bP0799fixYtSnYvU2ofHh6uBg0aKCwsTOXLl8/w/UqwZcsWjR49Wv/8848cHR1VpkwZjR07VkWKFMl0Xz169FDu3Lk1evRoSVLr1q1VsWJFDRw4UJL9Z7tevXoKDQ3VG2+8kVZXql+/vs6cOWPsFylSROvWrcvwXO7+PqXGYrGoWrVqGjhwoFq2bJlun1u3bk1y7PDhw7p8+bI+/fRTbdu2TdeuXZOfn5/efPNNPffcc0a76OhoDRo0SGvXrpWbm5s6d+6stWvXZmiOKYmOjlaVKlU0Y8YM1apVK8PXNXJonemxAAAAMuNil9rZPQUAAPCY2znp3eyeQjKvbe2ULeN+X31qtoybGY/F44yxY8dq8uTJ6tatm5YvX64xY8bI29vbOD9u3Dh16tRJYWFhKlGihHr37q34+PhU+zt16pRWrVqlCRMmKCwszDi+aNEimc1mzZ8/XwMGDNCMGTM0f/78FPtwc3PTM888o6VLlyY5vmTJEjVs2DDFgP2VK1e0ZMkSVa5cWU5OTsbxW7duaeLEiRo5cqTmzJmja9eu6d13k/9Da9myperUqaMOHTpox44dqX6+BJ988ol27dqlcePGafHixWrSpIk6d+6sEydOJBl72rRpGjVqlGbNmqXIyEiNHDnSOD958mQtWbJEw4cP148//qjo6OgMlWeZPn26nnzySYWFhenll1/W4MGDdeyYfVX7uLg4derUSXny5NHs2bM1Z84cubq6qnPnzoqNjU2xvwEDBqhy5cpq06aN1q9fr/Xr1xsPNVLTtWtX1apVSy+99JLWrl2b7pwl+0OK7t27q1q1alq8eLHmzp2rtm3bpvjgJj0HDhzQrl27VL16dUn2hyh//fWXate+80ebg4ODateurV27dqXb388//yxJGj58uNavX2/sP2g3b95UfHy88uXLl27b8ePHq2DBgnrnnXeM74tk/6wBAQH67rvvtHTpUrVp00Z9+/ZNUnZnxIgR2rVrlyZOnKhp06Zp+/bt+uuvv+5pzrGxsZo7d67y5s0rf3//e+oDAAAAAAAAD47VZsqWr0fBI18eJzo6WjNnztTAgQP1wgsvSJL8/PxUtWpVhYeHS5I6duyoZ555RpL0zjvvKCQkRCdPnlTp0qVT7DMuLk6jRo1KVkKjUKFC+vDDD2UymVSqVCn9/fffmjFjhtq0aZNiPy1atND777+vmzdvKnfu3IqOjtb//vc/TZgwIUm70aNHa/bs2bp586aCgoL07bffJpvPwIEDValSJUn2YGazZs20d+9eBQYGysfHR0OGDNGTTz6p2NhYzZ8/X6+++qrmzZungICAFOcWERGhhQsX6rfffjNKnHTq1El//vmnFi5cqPfee88Ye8iQIfLzsy9Y88orrxgZ9JI0a9YsvfHGG2rUqJEkaeDAgfrjjz9SHDOxunXr6pVXXpEkdenSRTNmzNCWLVtUqlQpLV++XFarVUOHDjWC4cOHD1e1atW0detW1alTJ1l/efPmlZOTk1xcXOTj45PsfGKurq7q37+/goODZTKZ9Ouvv6p79+76+uuv1aBBgzSvjY6O1vXr1/Xss88a9yS1n6O0PvulS5dksVjUo0cPtW5tz+S+fPmyLBZLsjI4Xl5exgONtCT8vLq7u6d7D+7HmDFjVKBAgSQPF1Lj4eEhs9msPHnyJJmTr6+vOnW68zQ1NDRU69ev14oVKxQYGKjo6GiFhYVpzJgxRlb88OHD9fTTT2dqrr/99pvee+893bx5Uz4+Ppo2bRqlcQAAAAAAAJCjPfJB+2PHjik2NlY1a9ZMtU3izNqEwOGlS5dSDbYWLlw4xcBepUqVkmRUBwUFafr06bJYLJo8ebImTZpknFu2bJnq1q0rJycnrVu3TiEhIVq1apXc3NySBTs7deqkF198UREREZowYYL69eunSZMmGWM5OjqqYsWKRvvSpUvL3d1dR48eVWBgoEqVKqVSpUoZ54ODg3X69GnNmDFDo0eP1uLFizVo0CDj/OTJkxUdHS2LxaImTZokmUtsbGyS2u65c+c2gtOSVKBAAV28aK95d/36dUVFRSkwMNA4bzabFRAQIKvVmuK9TZD4e2IymeTt7W30e+jQIZ06dUrBwcFJrrl9+7ZOnTql7du3q0uXLsbxIUOGqEWLFimOExISooiICElSlSpVNGXKFHl6eqpDhw5Gm8DAQJ0/f15Tp05NN2jv4eGhVq1aqVOnTnrqqadUq1YtNW3a1CgXlBGzZ89WTEyM9uzZo7Fjx6p48eJJysLkZN99952WL1+umTNnKleuXPfcj8Vi0bfffquVK1fq3LlziouLU2xsrLG+RHh4uOLi4pL8bOXNm1clS5bM1Dg1atRQWFiYLl++rHnz5qlXr16aP39+jlnvAQAAAAAAALjbIx+0z0jgMHGpmYRAeFpB5ZRK16SnXbt2atq0qbFfoEABOTo6qnHjxlqyZIlCQkK0dOlSNWvWTI6OSW+7p6enPD09VbJkSZUuXVr16tXT7t27jbr796JixYrauXOnJHut84Qsfcme5bxu3TqZzWYtWLBA5v9f4CaBq+udVejvnqvJZNKDWAYhrX5jYmIUEBCgMWPGJLvO09NTTk5OScoWpRWA/e6774xSSGktOFypUiVt3LgxQ3MfPny4QkND9eeff2rFihX64osvNH36dAUFBWXo+mLFikmyP7iIiorS+PHj9dxzzyl//vwym83Gw4sEFy9eTFLuKbtMnTpV3333naZPn65y5crdd18zZ87Uhx9+aCzMO2zYMMXFxT2g2dq5urqqePHiKl68uIKCgvSf//xHP//8s958880HOg4AAAAAAAAyx6pHo1RNdnjkg/YlSpSQi4uLNm/ebARDH5bE9bYlac+ePSpevLjMZrM8PDySZKgnaN68uTp27KgjR45o8+bN6tWrV5pjJDxMSFy7PT4+Xvv37zeyjo8dO6Zr166lWZbl0KFDxlsFbm5ucnNzS3K+fPnyslgsunTpkqpWrZrmnFKTN29eeXt7a9++fapWrZokewb1gQMH7iuoGxAQoBUrVsjLyyvZvBMUL1482TEnJ6dkD2MyujjswYMHM1VSpkKFCqpQoYLefPNNtW3bVkuXLs1w0D4xq9VqBKqdnZ0VEBCgTZs2qWHDhsb5TZs2qX379hnqz8nJSRaLJdPzSM/kyZP17bffaurUqUne+sjonO7+vuzcuVMNGjTQ888/L8n+OU+cOGH8TBctWlROTk7at2+fChcuLMn+ZseJEyfu+ec1YZzU1kUAAAAAAAAAcoJHPmifK1cudenSRaNHj5aTk5OCg4N16dIlHTlyxKiF/aBERERo+PDhatu2rQ4cOKBZs2apX79+aV5TrVo1eXt7q0+fPipatGiSjPc9e/Zo3759qlKlitzd3XXq1Cl9+eWX8vPzS5Jl7+TkpE8//VQfffSRzGazPv30UwUFBRlB/BkzZqho0aIqW7asbt++rfnz52vz5s2aNm1aqvMqWbKkmjdvrr59+6p///4qX768Ll++rE2bNsnf399YAyA97du316RJk+Tn56dSpUpp1qxZunr16j0tzJqgefPmmjp1qrp27aqePXvK19dXERERWr16tTp37qyCBQumeF2RIkW0Z88ehYeHy9XVVR4eHnJwSL7W8qJFi+Tk5KTy5ctLklavXq0FCxbos88+S3dup0+f1rx581S/fn0VKFBAx48f14kTJ4zgc1pmz56tQoUKGaWMtm3bpmnTpik0NNRo06FDB/Xr109PPvmkAgMD9f333+vmzZtq1apVuv0n3INNmzYpODhYzs7OGVos9uDBg5KkGzdu6NKlSzp48KCcnJxUpkwZSfa3Fb766iuNHTtWRYoU0YULFyTZs9jz5MmToTlt27ZNISEhcnJykqenp4oXL65Vq1Zp586dypcvn6ZPn66oqCgjaO/m5qaWLVtq1KhRypcvn7y8vDR+/HiZTKYM/WzFxMTo22+/Vf369eXj46PLly9r9uzZOnfuXLKSUAAAAACQndxdc6lvu2dVN7CUbDab1u78R6Pn/U83b6f+JrKXu6t6/beuapT3Ux4XZ504d0lTl2/Vul3/GG38Cnio13/rqlKZwnIyO+jImShN/GWjtv8dbrSpXq6YuraorTJFvHXzdpyWbj6gr8M2yGK9/zfsASA9j8qisNnhkQ/aS1K3bt1kNpv11Vdf6fz58/Lx8VG7du0e+DgtW7bUrVu31Lp1a5nNZr366qtq27ZtmteYTCaFhIRoypQp6t69e5JzLi4u+vXXXzV+/HjFxMTIx8dHTz/9tLp16yZnZ+ck7bp06aLevXvr3Llzqlq1qoYOHWqcj4uL08iRI3Xu3Dnlzp1bTzzxhKZPn55mnX/JXuZl4sSJGjFihM6fPy8PDw8FBQVlOGAv2ReRjYqKUr9+/WQ2m9WmTRvVqVMnWcmdzMidO7dmzZqlMWPGqEePHrpx44Z8fX1Vq1atVDPvJfuCw/3791dISIhu3bqltWvXqmjRoim2/eabbxQRESGz2axSpUpp3LhxGQrm5s6dW8eOHdOiRYt05coVFShQQK+88kqGft6sVqs+//xzhYeHy2w2y8/PT3369ElybbNmzXTp0iV99dVXunDhgsqXL68pU6ZkuDxOv379NGLECM2fP98og5Seli1bGtt//fWXli5dqiJFihjX/vTTT4qLi9M777yT5LoePXro7bffTrf/d955RwMHDlTDhg0VGxurw4cPq2vXrjp9+rQ6deqk3Llzq02bNmrYsKGuX79uXNe/f38NGjRIb731ltzc3NS5c2dFRkZmqCSW2Ww2vk+XL1+Wh4eHKlasqNmzZ6ts2bLpXg8AAAAAD9J3772oJZsOaMmmA8nODe3UVN758qjbFwvlaHbQ4Nf+o4/aN9SAqStS7e+TDk2UN3cuvfvNL7oSfUtNqvtr5Bshaj/sRx0+bU+0+rJHS506f1lvff6zbsXF65UGlfVlj5Zq8dE0XbwWo7JFvfVVj5aaumKrBk5fKR8PNw14pYEcTCZ9seDPh3YvAADpM9keRIHyf4HQ0FCVK1dOAwYMyNJxFy5cqGHDhmn79u1ZOu69slqtatq0qZo2bZpuKSAgM2JiYlS3bl3169dPrVu3zrJxGzlk3VgAAODf6WKX2tk9BQAPWWpB+5IFPbVgyGt6ZdiPOnjynCSpdkBxfdXjBTXpP1lRV2+k2N/6L7tr+I/rtGzLQePYurFv6auF6xW2Yb888rho3edd1Wn0PO3654wkyTWXk9Z/1UNvjVugrYdOqUfLp1SjvJ9Ch88x+qgbWEojuoSoYZ9vFZNGpj+AR8/OSe9m9xSSabvprWwZd26tb7Nl3MxIXjsEyIQzZ85o3rx5On78uA4fPqzBgwfrzJkzat68eXZPDY+4AwcOaOnSpTp16pT++usv9enTR5LUoEGDbJ4ZAAAAADwYgaUK6dqNW0bAXpK2HDwlq82miiVTLg0rSXuOReo/VZ+Qu2sumUzSf6o+oVxOjtrx92lJ0pUbt3T87CWF1CwvF2dHmR1M+m/dQF28dkMHT9nHcnI0KzYu6Zpot2Lj5eLsqPLFfR/CpwUAZNRjUR4H2cfBwUELFy7UyJEjZbPZjNI8aS2Sm9MlXk/gbpMnT051IdSQkBBFRESkeG7IkCFq0aLFfc1r8eLFGjRoUIrnChcurGXLlmX5nLZv364uXbqken7Xrl331f+0adN0/PhxOTk5KSAgQLNnz5anp+dDHxcAAAAA7kfHptXUsUl1Yz+Xs6Mqliqkfu2eNY69OHimvPK56tL1mCTXWqw2XbtxS17uqa8h1u+7ZRrZpZn+N66b4iwW3YqNV++Ji3X6wlWjTddxC/R5txZa/2UPWW02Xb4eox5fLdL1mNuSpE1/ndDLDSqrcTV/rd7+t7zyueqN52pIkrzzpb9+GQDg4aE8DnCXkydPpnrO19dXLi4uKZ47c+aM4uPjUzzn5eWVZj3+jIiOjtbFixdTPOfo6KgiRYpk+Zxu3bqlc+fOpXq+ePHi99V/ThiX8jgAAOBhozwO8Phxd82lfHnu/O34WaemWrfzH63bdcQ4FnHxml5rXFXP1aygVoO+T3L9mtFv6tslm/TzH3tT7L9vu2cUUKKgvg7boMvRN/VsUBm90qCyOo2ep38i7H83ft61hRzNDpq6Yqtux8arZZ0nVa9SKYUOm6Ooa/ayO680DNYbz9VUbmcnxcVbNHnZFr3Tqo76T16mX7f//aBvC4BslBPL47Te2DVbxp1fe2K2jJsZZNoDd7nXgG9KQfMHyc3NLdNB9oc9JxcXl4cWmM+J4wIAAABARlyLua1r/5/RLkm3Y+N16XpMkkx4Sbp4NUaeeV2THDM7mOSex0UXr6Vcz76odz61e7ayXhw8U8ci7QH6I+FRqlymiNo8E6RhP65V9XLF9HRgST3z7kTduBUrSRoxZ51qlvfTc7UqaMaqbZKk2Wt2avaanfLOl0fXY26psFc+vdOqjsLvmicAIGsRtAcAAAAAAMgGe49Fyj2Pi8r7FdDBU+clSdX8i8nBZNK+42dTvMbF2R7KubtwgtVqlYOD6f/bONmP3d3GZpNDCqsbJix427iavyIvXdOh/58LADxMVpmyewo5FgvRAgAAAAAAPEC5cznJy93V+PpgynJt/OtEkmMOJpOOn72kDfuP66PQhgoo4atKpQur30v1tWr7YSOQ7uORRwuGvKaAEvbFYU+cvaxT5y5rQPsGCijhq6Le+dS+YbBqlC+u33b/I0naezRC12Ju65PXG6tsUW/5FfBQr/8+rSLe+fTnvuPGPF/9TxWVKeylUoW81LlZDXVoUk2jf/pfsmA/ACBrkWkPAAAAAADwAL3aqIrebF4rzTYhH05V5MVrGjB1hfq9VF/fvvuirDab1u08olFz/2e0czSbVbKgp5E9H2+16u0JYXrnhTr6ovvzcs3lrNPnr2jQjFXasP+EJOnKjVvq8dUi9Xi+tia9+6IczQ46FnlR736zWEfCo4y+nwoooU5Nq8vJ0VFHwi/o3W8Wa+NfJx707QAAZBIL0QJAGliIFgAAPGwsRAsAAB62nLgQ7QsbumfLuIue+jpbxs0MyuMAAAAAAAAAAJBDUB4HAAAAAAAAAJClrDYWok0NmfYAAAAAAAAAAOQQZNoDAAAAAAAAALIUmfapI9MeAAAAAAAAAIAcgqA9AAAAAAAAAAA5BOVxAAAAAAAAAABZivI4qSPTHgAAAAAAAACAHIJMewAAAAAAAABAlrKKTPvUkGkPAAAAAAAAAEAOQaY9AAAAAAAAACBLUdM+dWTaAwAAAAAAAACQQxC0BwAAAAAAAAAgh6A8DgAAAAAAAAAgS1EeJ3Vk2gMAAAAAAAAAkEOQaQ8AAAAAAAAAyFJk2qeOTHsAAAAAAAAAAHIIMu0BAAAAAAAAAFmKTPvUkWkPAAAAAAAAAEAOQdAeAAAAAAAAAIAcgvI4AAAAAAAAAIAsZaM8TqrItAcAAAAAAAAAIIcg0x4AAAAAstHED7/K7ikAAIDH3rvZPYFkrCLTPjVk2gMAAAAAAAAAkEOQaQ8AAAAAAAAAyFJWatqnikx7AAAAAAAAAAByCIL2AAAAAAAAAADkEJTHAQAAAAAAAABkKRvlcVJFpj0AAAAAAAAAADkEmfYAAAAAAAAAgCzFQrSpI9MeAAAAAAAAAIAcgkx7AAAAAAAAAECWoqZ96si0BwAAAAAAAAAghyBoDwAAAAAAAABADkF5HAAAAAAAAABAlmIh2tSRaQ8AAAAAAAAAQA5Bpj0AAAAAAAAAIEvZbNk9g5yLTHsAAAAAAAAAAHIIMu0BAAAAAAAAAFnKKmrap4agPQAA/8fencfXeKZ/HP+cnCQii0QkgqRCLKG2JIJqKU1XMlS1RUfj11qq6NTe2EZRJIQy1mosqaVaahlLVakxrdpKFS1aFRUEscu+nfP7I+NwmkViSdL2+3698qpnuZ/7es45zOR6rnPdIiIiIiIiIiK/M2/ePL788ktiY2NxcHAgMDCQIUOG4Ofnl++Y1atXM3z4cKt99vb2HD58uNDzKmkvIiIiIiIiIiIiIvI7e/fupWvXrjRo0IDs7Gzef/99evTowcaNG3F0dMx3nLOzM1988YVl22Ao2rcKlLQXERERERERERERkWJlNpf+9jgLFiyw2o6MjKR58+b89NNPNGnSJN9xBoMBT0/Pu55XSXsRERERERERERER+UvIyMggIyPDap+9vT329vZ3HJuYmAiAq6trgeelpKTwxBNPYDKZePjhhxk0aBC1atUqdIxK2ouIiIiIiIiIiIhIsTKVUKX9vHnzmDVrltW+t956i3/84x8FjjOZTEycOJGgoCBq166d73nVq1dn4sSJ+Pv7k5iYyMKFC+nSpQsbN26kUqVKhYpRSXsRERERERERERER+Uvo3bs3r7/+utW+wlTZjx07luPHj/Pxxx8XeF5gYCCBgYFW223btuWTTz5hwIABhYpRSXsRERERERERkQfs3GmImWHL2VMGUpPBrQI0f8JEh7BsbAvIznR7Jnciqe/wLB55wgTAtcvw8YdGTv5iQ0I8PN3BxKt9sq3O/26HgfXLjSTEG8jKgkreZtq8ZOKxp0z39R5FRIrCbC6ZeQvbCud248aNY/v27SxdurTQ1fI32dnZUbduXeLi4go9Rkl7EREREREREZEHzGgLjz1lolpNM47OZuJiDSycZovZDC93zy5wbK8hWTQIvpVgd3S+dSwzE8q5wvN/z+aL1TZ5jnd2gfavZFO5qhlbW/hhjw3RU4y4uJlpGFxCWTMRkT8As9nMe++9x5YtW1iyZAkPPfRQka+RnZ3NL7/8QqtWrQo9Rkl7EREREREREZEHrGJlqFj5VuLdw8vM0YMmfv7xzj2dHZ3MuLnnfcyzErzaNyfp//XmvJP2dRtZJ+affcHEji02/PKjDQ2DC35gICLyVzZ27Fg2bNjAnDlzcHJy4uLFiwC4uLjg4OAAwDvvvIOXlxeDBw8GYNasWQQEBODr68uNGzdYsGAB8fHxvPzyy4WeV0l7EREREREREZFiduEsHN5nQ/Bjd25Rs3iWLQumQcXKZp4INfH4syYMd7l+o9kMR34wcO60gc49lLAXkZJjLqGFaIti+fLlAISFhVntj4iIoGPHjgCcO3cOG5tbD01v3LjBP//5Ty5evIirqyv16tXjk08+oWbNmoWeV0l7EREREREREZFiMm6ALaeOG8jMNPBE22w6/l/BifOO3bJ4ONCMfRn4cb+BxTONpKfCMy8UrR99SjL0f8WOrEywsYFu/8imfmO1xhERKcjPP/98x3OWLFlitT1ixAhGjBhxT/MqaS8iIiIiIiIiUkz6jcgiLRXiYm34JNpIxc/MhHbKPwHf4dVbx6rVNJOeZuDzlcYiJ+0dysL4uZmkpRk4csDA8nlGKlY252qdIyJSXP4IlfYlRUl7EREREREREZFiUqFizn+9fU2YsmHRv4y0edGEjbFw42vUMfHvZUYyM8DOvvDz2tiAlzeAGd8aZuLjDKz/xEjdRllFvQUREXnA8l6hpBQ6c+YM/v7+HD16NN9zVq9eTXBwcDFG9dcTFhbGhAkTSjoMERERERERkT88sxmys8BUhGL3uBMGnFzMRUrY58VkhqzMe7uGiMi9MJkNJfLzR/CnqrRv27YtrVq1KrH533zzTY4dO8bly5dxdXWlefPmDBkyBC8vr0JfY8+ePXTr1i3X/h07duDp6Xk/w70rM2fOxNb2wX9swsLCqFOnDiNHjizwvDNnzvDkk0/m2v/pp58SEBDwgKIrnW6+FmvXrqVu3bqFGnP8+HFmzJjBTz/9xNmzZxk+fDivvfaa1Tnz5s3jyy+/JDY2FgcHBwIDAxkyZAh+fn6FmsPf35/Zs2fz1FNPFfWW7tq1a9eYOXMmO3bs4Ny5c7i7u/PUU0/Rv39/XFxcii0OERERERGRm3Z+ZYPRFnyqm7Czg5O/2LByoZFmrUzc/DV73w4DKxfaMmlhTjb9wC4D168ZqFnHjJ29mR+/t2HdciNtX7ZujXPqRE4SKi0VEq/lbNvamvH2zTm+frkN1WubqVjFTGYmHNprw86tNvzf21qIVkSkNPpTJe0dHBxwcHDI93hGRgb29vf4KLoAjzzyCG+++Saenp5cuHCByZMn079/fz755JMiX+uLL77A2dnZsl2hQoX7Gepdc3NzK+kQ8hQTE2O1AnNpjbO0SU1NxcfHh+eee46IiIg8z9m7dy9du3alQYMGZGdn8/7779OjRw82btyIo6NjMUdcOAkJCSQkJBAeHk7NmjU5e/YsY8aMISEhgRkzZpR0eCIiIiIi8hdkY4SNn9pw/qwRsxk8vMw81T6bZ1+8lYBPTTFw7sytKlCjLWxdZ8PHHxgwm8Gripm/986mdVvrpP0/+9hZ/vzbcdj1HyMeXmbeX5KT/E9PM/DRTCNXLoF9Gaj8kJne4dk80rpoffFFRKR4GMxmc6laccRkMrFgwQJWrFjBuXPn8PDwoHPnzrRr144nn3ySmTNnsmTJEg4dOoSvry9jx44lMDAQyGmPM3HiRPbt2wfkVIVv3bqVV199lblz5xIfH8+xY8cICwujVq1aAPz73//G1taWV155hf79+2Mw5P6KRFJSEo8++igzZ860quTfsmUL77zzDjt37qRs2bK5xn311Vf069ePw4cPY2dnZ4kvMjKSyZMnc+7cOZo2bcr48eOpXLkycKvS/rvvvqNcuXKFft0yMjKYNm0aGzZsIDExkVq1ajFkyBCaNWtm9dpMmzaNiRMncv78eYKCgoiIiKBixZyGellZWURGRrJ27VqMRiMvvfQSly5dIjExkTlz5gC5K+BDQkLo1KkTp06d4osvvsDV1ZU+ffrQuXNnS2znzp0jMjKSb7/9FhsbGxo3bszIkSPx8fHJ816GDRvGmjVrcr2WeZ1/N9Xlt9uzZw9RUVH8+uuv2NraUrNmTaZOnYq3t3eB425+tsLCwpg1axbXr1/n+eef55///CcLFy4kJiYGk8lEt27d6NOnj2XcokWLWL16NadPn8bV1ZUnnniCoUOH4uTkBMDw4cP58ccfWbVqFfb29mRkZNCpUydq167N5MmTC4zJ39/fartp06a5Vq8uSEhICN26dctVaf97V65coXnz5ixdupQmTZrc8Zpnz561bHt7e7Nt2zbi4uKIiIjg4MGDpKam4ufnx+DBg3n00Uct5yYkJDBq1Ch2796Nh4cHAwcOZNq0aYWKMS+bNm1i6NCh/PDDD0X6tsjTNi8XeS4RERGRohh/cl9JhyAiIiJ/cs18T5Z0CLk8vHZMicx7pEPJzFsUpa6n/dSpU4mOjqZv3758/vnnTJkyBQ8PD8vxadOm0aNHD9auXUu1atUYPHgwWVn5L5oSFxfH5s2bmTVrFmvXrrXsX7NmDUajkZUrVzJy5EhiYmJYuXJlntdwdnamdevWbNiwwWr/+vXreeqpp/JM2F+7do3169cTGBiInd2tJ95paWnMnTuXSZMmsXz5cm7cuMHAgQNzje/QoQMtWrTg9ddfZ//+/fne303jxo3jwIEDTJs2jXXr1vHcc8/Rs2dPfvvtN6u5Fy5cyOTJk1m6dCnnzp1j0qRJluPR0dGsX7+eiIgIPv74Y5KSkti6desd5160aBH169dn7dq1/P3vf2fMmDHExsYCkJmZSY8ePXBycmLZsmUsX74cR0dHevbsSUZGRp7XGzlyJIGBgXTq1IkdO3awY8cOy0ON/PTp04fmzZvzyiuv8NVXX90xZsh5SNGvXz+aNGnCunXr+PTTT+ncuXOeD27yEhcXx9dff838+fOZOnUqn332GW+88QYXLlxgyZIlDBkyhOnTp3Pw4EHLGIPBwMiRI9mwYQORkZHs3r2bqKgoy/FRo0aRmprKlClTgJzP+40bNxg9evQd47n5+Y2JiWHHjh3MnDmzUPdRVImJiQC4urre8dzPPvsMgIiICHbs2GHZTklJoVWrVsTExLBmzRpatmzJm2++SXx8vGVseHg4CQkJLFmyhJkzZ7JixQouX75813EnJSXh7OxcLO2dRERERERERERE7lapyl4lJSWxePFiRo8ezQsvvABA1apVCQ4O5syZMwB0796d1q1bA/D2228TGhrKqVOnqFGjRp7XzMzMZPLkybi7u1vtr1y5MiNGjMBgMODn58cvv/xCTEwMnTp1yvM67du3Z+jQoaSmplK2bFmSkpLYvn07s2bNsjovKiqKZcuWkZqaSkBAAB988EGueEaPHk2jRo0AiIyMpG3bthw6dIiGDRvi6enJ2LFjqV+/PhkZGaxcuZJu3bqxYsUK6tWrl2ds8fHxrF69mv/85z+W/vk9evTgm2++YfXq1QwaNMgy99ixY6latSoAXbt2tVTQAyxdupQ33niDp59+GoDRo0fz9ddf5znn7R5//HG6du0KQK9evYiJiWHPnj34+fnx+eefYzKZmDBhgiUZHhERQZMmTdi7dy8tWrTIdT0XFxfs7OxwcHC4Yx9/R0dHhg0bRlBQEAaDgS+//JJ+/foxe/bsPHvd3y4pKYnExESeeOIJy2uS3+coL2azmYkTJ+Ls7EzNmjVp1qwZJ0+eJDo6GhsbG/z8/IiOjmbPnj2W9/v2CnEfHx8GDBjAu+++y5gxYwBwcnIiKiqKsLAwnJycWLx4MR999JFVq6T83PyMu7m5PbD1D0wmExMnTiQoKIjatWsXOqZy5cpZxVSnTh3q1Klj2R4wYABbt25l27ZtvPrqq5w4cYKdO3fy2Wef0aBBAwDGjx/PM888c1dxX7lyhTlz5lh9A0REREREREREREqO+Q+yKGxJKFVJ+9jYWDIyMnjkkUfyPef2FiA3k4BXrlzJN9lapUqVXAl7gEaNGllVVAcEBLBo0SKys7OJjo5m3rx5lmMbN27k8ccfx87Ojm3bthEaGsrmzZtxdna2aucBOcnyl156ifj4eGbNmkV4eDjz5s2zzGVra2tJQkJOkrhcuXKcOHGChg0b4ufnZ7XAZ1BQEKdPnyYmJoaoqCjWrVvHu+++azkeHR1NUlIS2dnZPPfcc1axZGRkWPV2L1u2rCU5DVCxYkVL5XJiYiKXLl2iYcOGluNGo5F69ephMhXc4+7298RgMODh4WG57rFjx4iLiyMoKMhqTHp6OnFxcezbt49evXpZ9o8dO5b27dvnOU9oaKilErtx48bMnz8fd3d3Xn/9dcs5DRs2JCEhgQULFtwxae/m5kbHjh3p0aMHjz32GM2bN6dNmzaWdkF34u3tbZVM9/DwwGg0YmNjY7Xv9urwnTt3Mm/ePGJjYy3vW3p6uuVhEEBgYCDdu3dnzpw59OrVi+Dg4ELFUxzGjh3L8ePH+fjjj+/pOsnJycyaNYvt27dz8eJFsrOzSUtLs7y/J0+exNbW1upBla+vb6Gq+38vKSmJ3r17U6NGDd566617iltERERERERERORBK1VJ+zJlytzxnNtbzdxMhBeUVM6rdc2ddOnShTZt2li2K1asiK2tLc8++yzr168nNDSUDRs20LZt21ytNtzd3XF3d6d69erUqFGDVq1a8cMPP1j67t+NBg0a8P333wM5PcJvVm0DeHl5sW3bNoxGI6tWrcJoNFqNvX2h0N/HajAYuB9LGhR03ZSUFOrVq2dp93I7d3d37OzsrNoWFbTg7ocffmhphVTQgsONGjVi586dhYo9IiKCsLAwvvnmGzZt2sT06dNZtGgRAQEBdxyb133nte/m5/PMmTP07t2bV155hYEDB+Lq6sr+/fsZOXIkmZmZls+qyWTi+++/x2g0EhcXV6j7KA7jxo1j+/btLF26lEqVKt3TtSZNmsTOnTsJDw+natWqODg48Pbbb5OZmXmfos2RlJREz549cXJyYvbs2Vb/foiIiIiIiIiISMlRpX3+SlXSvlq1ajg4OLB7924eeuihBzrXoUOHrLYPHjyIr68vRqMRNzc3qwr1m9q1a0f37t05fvw4u3fvZsCAAQXOcTNZe3vv9qysLH788UdLRXtsbCw3btwosC3LsWPHLN8qcHZ2ztUqpW7dumRnZ3PlypW7rsp2cXHBw8ODw4cPWxYXzc7O5siRI1ZtTIqqXr16bNq0iQoVKuTb4sXX1zfXPjs7u1wPY+60OOxNR48eLVJ7mIcffpiHH36Y3r1707lzZzZs2FCopH1R/fTTT5jNZoYNG2apxt+0aVOu8+bPn09sbCxLliyhZ8+erFq1ihdffPGO17+ZkM7Ozr6vcZvNZt577z22bNnCkiVLivx3087OLldMBw4c4IUXXrC0YkpOTrZasLZ69epkZWVx5MgR6tevD8CpU6e4fv16oedNSkqiR48e2NvbM3fu3EI9FBQRERERERERESlppSppX6ZMGXr16kVUVBR2dnYEBQVx5coVjh8/TvPmze/rXPHx8URERNC5c2eOHDnC0qVLCQ8PL3BMkyZN8PDwYMiQIfj4+FhVvB88eJDDhw/TuHFjypUrR1xcHP/617+oWrWqVZW9nZ0d7733HqNGjcJoNPLee+8REBBgSeLHxMTg4+NDrVq1SE9PZ+XKlezevZuFCxfmG1f16tVp164d77zzDsOGDaNu3bpcvXqVXbt24e/vb1kD4E5effVV5s2bR9WqVfHz82Pp0qVcv3690Auz5qVdu3YsWLCAPn360L9/f7y8vIiPj2fLli307Nkz34ptb29vDh48yJkzZ3B0dMTNzc2q7cxNa9aswc7Ojrp16wKwZcsWVq1axfjx4+8Y2+nTp1mxYgUhISFUrFiRkydP8ttvv/H888/f9f0WxNfXl8zMTJYsWUJISAj79+/nk08+sTrnyJEjzJgxgxkzZtC4cWOGDRvGhAkTaNq06R2T5RUqVMDBwYFvvvmGSpUqUaZMGVxcXAock5GRwYkTJyx/vnDhAkePHsXR0dHyMGXs2LFs2LCBOXPm4OTkxMWLF4GcBz0FfePhJm9vb3bt2kVQUBD29va4urri6+vLli1bCAkJwWAwMH36dKuHNDVq1ODRRx9l9OjRjBkzBltbWyIjI3FwcCjU5zEpKYnu3buTmppKVFQUSUlJJCUlATnf8Pj9N1JERERERERKStINWDLbyIE9NtgYILiFiVf7ZuNQQOOAiUNsOXbI+nfkJ0Kzeb3/rYKp2J8NrFhg5LfjBjCAn7+ZLj2zqVoj55vxRw8a+GK1kdifDaQmQyVvM21fNvHokwW3yBURkQevVCXtAfr27YvRaGTGjBkkJCTg6elJly5d7vs8HTp0IC0tjZdffhmj0Ui3bt3uuEilwWAgNDSU+fPn069fP6tjDg4OfPnll8ycOZOUlBQ8PT1p2bIlffv2xd7e3uq8Xr16MXjwYC5cuEBwcDATJkywHM/MzGTSpElcuHCBsmXLUrt2bRYtWlRgn3/IafMyd+5cIiMjSUhIwM3NjYCAgEIn7CFnEdlLly4RHh6O0WikU6dOtGjR4p4SnGXLlmXp0qVMmTKFt956i+TkZLy8vGjevHmBi6t2796dYcOGERoaSlpaGl999RU+Pj55njtnzhzi4+MxGo34+fkxbdq0XP3984stNjaWNWvWcO3aNSpWrEjXrl0fyOcNchZfHT58ONHR0bz//vsEBwczaNAgy8Oi9PR0hg4dSseOHQkJCQGgc+fObN++naFDh7Js2bIC3wtbW1tGjRrF7NmzmTFjBsHBwSxZsqTAmBISEujQoYNle+HChSxcuJCmTZtaxi5fvhyAsLAwq7ERERF07NjxjvcdHh5OZGQkK1eutLRzGjZsGCNGjKBLly6UL1+eXr16kZycbDVu0qRJjBw5kq5du+Lp6cmgQYP49ddfC1Ux/9NPP3Hw4EEASzX/TQV9lkRERERERB6EiUNsafmMiZbP5E6IfxBpy7UrEB6RRVY2zJ9iy8Lp0Hd4wd+ibt0mm47/d+uc239VSkuFqBG2BDU38X//yCI728CaxUaiRtgybVkmtrZw/IiBh6qb+VunbMqVN/PDHhvmRRkp62Qm8JF7b6UrInIn+pcmfwbz/Whq/gcTFhZGnTp1GDlyZLHOu3r1aiZOnMi+ffuKdd67ZTKZaNOmDW3atLljKyCRB+38+fO0atWKmJiY+/7Nm4I8bfNysc0lIiIif03jT/4xfj8QkbuXX9L+bBwM72nPmFmZ+NXOSc8c+s7A1FG2TP84k/L5LPs2cYgtVWuYebVP3on92F8MjHnLjmlLM6hQMWff6ZMGRva2I2pRBl75dJ+dOsqWcuXN9Bp8f9uuikjJa+Z7sqRDyMV/9bgSmffnjqNLZN6iKHWV9lJyzp49y7fffkuTJk3IyMhg2bJlnD17lnbt2pV0aPIXtGvXLlJSUqhduzYXL14kKioKb2/vu163QUREREREpLT59YgNjs5mS8IeoF6QGYMBThw1ENwi/zrLXdts2PmVDa7lcyrjn++aTZn/dTCt7GPGuZyZ/35hpP0r2ZhM8N8vbKhS1YxH3l1qAUhJhipV79fdiYgUTAvR5k9Je7GwsbFh9erVTJo0CbPZbGnNU9AiuaXd7esJ/F50dHS+CeDQ0FDi4+PzPDZ27Fjat29/X+Irig8++IB58+bleaxx48bMnz8/1/67vf/CWrduHe+++26ex6pUqcLGjRvv+tpZWVlMmzaN06dP4+TkRGBgIFOmTMHOzu6BzisiIiIiInKv1i23Yf3yW+1NMzLgxFEji2fd2hcxP5PrV6Gcm/VYoxGcXOD6VQP5NY9o/oSJCl5myleA07EGPl1g5NwZA/3fzQKgrCOMiMpi+lhb/v1xTu/7SlVgaEQm+XVd3fNfG07+YrDqiy8iIiXjL9keR/46Tp06le8xLy+vfBdSPXv2LFlZWXkeq1ChQoH9+B+Ua9eucf369TyPOTg44OXllWv/3d5/YSUlJXH58uU8j9na2uLtnc93Lu9Rcc6r9jgiIiLyoKk9jsifT9INSE68tT030pYmLU0EP3arPY5HJdi4woYdW4xMXphpNb7fy3Z07JbNk+0KtyjskQMGIsPtiIrJwKsKZKTntNCp/JCZp583YTLBppVG4k/D2FlZ2P9uqbAjPxh4/5+2vPZ2Ni2e1kK0In9GpbE9Tu3P3iuReX956Z8lMm9RqNJe/tR8fX3vatyDSjbfCzc3N9zc3Io05m7vv7CcnZ1L5AFGSc0rIiIiIiJSGM7lcn5usi+TU1H/+17yruXhxjXrfdnZOQl/1/KFr7GsUSfn3AvxBryqmNm1zYZLFwyM/lcWNjmF9vQZnsWbHe34fqcNjzxxKzF/7JCBaaNt6fqmEvYiIqWFTUkHICIiIiIiIiLyV1TzYRMpSQZO/nKrr/ORAwbMZqhRt/BJ+1OxOePd3HO209PBYAOG29pF39w23XbZowdzFr3t3DObJ0KVsBcRKS2UtBcRERERERERuY/SUuHalVs/fUdk0SDYZLXPlA3eVaFhsImF042cOGbgl58MLJ5tS7PWJspXyLnWlUsQ3t2OE8dyMvAX4mHt0pz+8xfPw/e7DHw42Rb/Biaq+uVk5OsHmUhJhI9mGjkbB2d+MxA9xYjRCA83yknOH/khJ2H/TAcTwS1uxZZ0o0ReMhH5CzKbDSXy80eg9jgiIiIiIiIiIvfR5yuNrF2az4qv/zN1cQaeleDNYVksnm1kUrgtBgMEtzQR1vfWYrDZWXDujIGM9JxtW1v46YANm9cYyEgDd08IbmHi+b/fGlOlKgwcl8WapUbe62+HwQZ8a5gZMjELt/89DNixxYaMdAPrPzGy/pNbsdZpaGLElLzXeBMRkeKhhWhFRAqghWhFRETkQdNCtCIiIvKglcaFaGuuGF8i8/7aaVSJzFsUao8jIiIiIiIiIiIiIlJKKGkvIiIiIiIiIiIiIlJKqKe9iIiIiIiIiIiIiBSrP8qisCVBlfYiIiIiIiIiIiIiIqWEKu1FREREREREREREpHip0j5fqrQXERERERERERERESklVGkvIiIiIiIiIiIiIsXKbC7pCEovVdqLiIiIiIiIiIiIiJQSStqLiIiIiIiIiIiIiJQSao8jIiIiIiIiIiIiIsVL7XHypUp7EREREREREREREZFSQpX2IiIiIiIiIiIiIlKszGZDSYdQaqnSXkRERERERERERESklFClvYiIiIiIiIiIiIgUL/W0z5cq7UVERERERERERERESgkl7UVERERERERERERESgm1xxERERERERERERGRYqWFaPOnSnsRERERERERERERkVJClfYiIiIiIiIiIiIiUry0EG2+VGkvIiIiIiIiIiIiIlJKqNJeRERERERERERERIqZetrnR5X2IiIiIiIiIiIiIiKlhCrtRUREREREStDmxAYlHYKIiIj8yTUr6QCkSJS0FxEREREREREREZHipYVo86X2OCIiIiIiIiIiIiIipYQq7UVERERERERERESkeKnSPl+qtBcRERERERERERERKSVUaS8iIiIiIiIiIiIixctsKOkISi1V2ouIiIiIiIiIiIiIlBJK2ouIiIiIiIiIiIiIlBJqjyMiIiIiIiIiIiIixcqshWjzpUp7EREREREREREREZFSQpX2IiIiIiIiIiIiIlK8VGmfL1Xai4iIiIiIiIiIiIiUEqq0FxEREREREREREZHiZTaUdASllirtRURERERERERERERKCSXtRURERERERERERERKCbXHEREREREREREREZFiZdBCtPlSpb2IiIiIiIiIiIiISCmhSnsRERERERERERERKV6qtM+XKu1FREREREREREREREoJVdqLiIiIiIiIiIiISPEyG0o6glJLlfYiIiIiIiIiIiIiIqWEkvYiIiIiIiIiIiIiIqXEPbXH2blzJ4sWLeLw4cMkJiZiMplynWMwGDhy5Mi9TCMiIiIiIiIiIiIifyZaiDZfd52037x5MwMHDsRkMlGlShX8/PwwGo33MzYRERERERERkT+FG2cz2DvvPNfPZJCRYsKxvC2+LV1o2MkDG9v8+zrvW3CBi8dSuRaXgauPPW2nVst1ztXf0vhufgKXf03DoZyR2m3dqNehguX4iW3X2T37vNUYGzsDr3xS+77dn4jIn9G8efP48ssviY2NxcHBgcDAQIYMGYKfn1+B4zZt2sS//vUvzp49S7Vq1RgyZAitWrUq9Lx3nbSfPXs2ZcqUYc6cOTRv3vxuLyMiIiIiIiIi8qdnMEL11q64+5XBztHItVPp7Jl7HswQ0NWzwLF+Ia5cPp7GtVPpuY5lpmSz7b0zVGroSNM3fLkWl87u2eexdzRS6xk3y3l2jja0m1H9toDu152JiNylP0Cl/d69e+natSsNGjQgOzub999/nx49erBx40YcHR3zHPP9998zePBgBg0axBNPPMH69evp168fq1evpnbtwj0sveuk/cmTJ3n++eeVsBcRERERERERuQOXSva4VLK3bDtXtOPCj+VIOJpa4LjgHl4AHLpxKc+k/cmvb2DKMvNI38oY7Qy4VS3D1ZPpHFt/1SppD1C2/D11SRYR+ctZsGCB1XZkZCTNmzfnp59+okmTJnmOWbx4MS1btqRnz54ADBgwgJ07d7J06VLGjRtXqHnv+l9rNzc3HBwc7na4iIiIiIiIiMhfVuK5DOJ/SOahZs73dJ1Lv6RRsa4jRrtbpfOVA5w4svYK6UnZlHHOaWWclWZiTe8TYAZ3Pwca/d0Dt6pl7mluEZF7UkKV9hkZGWRkZFjts7e3x97ePp8RtyQmJgLg6uqa7zk//PADr732mtW+Fi1asHXr1kLHeNdJ+2effZZdu3aRlZWFra2e1IqIiIiIiIiI3MnmEae4EpuOKdNMzaddadTF456ul3otC+eKdlb7yrrlJOrTrmVRxtlIOW97HulXCTffMmSmmDj67yt8OTKOv02vhmMFu7wuKyLypzVv3jxmzZplte+tt97iH//4R4HjTCYTEydOJCgoqMA2N5cuXcLDw/rf9goVKnDp0qVCx3jX2fZBgwbRvXt3Bg4cyPDhw6lSpcrdXkpERERERERE5C+hxaAqZKWauPpbOt8vvsiRdVesFo19EDz9y+LpX9Zqe33/kxz/8jqNXrm3hwYiIn80vXv35vXXX7faV5gq+7Fjx3L8+HE+/vjjBxWaxV0n7du1a0dWVhYHDx5k69atlCtXDmfn3F/pMhgMRSr9FxERERERERH5s3LyyKlsd32oDGaTmT0fXKBuO3dsjHe3MmxZN1vSrmVb7Uv937aDW95pHxtbA+7Vy5B4LiPP4yIixcJcMitiF7YVzu3GjRvH9u3bWbp0KZUqVSrwXA8Pj1xV9ZcvX85VfV8QmyJFdxuz2YzRaKRy5cpUrlwZJycnzGZzrh+TyXS3U1g5c+YM/v7+HD16NN9zVq9eTXBw8H2ZT/IWFhbGhAkTSjoMERERERERkT88sxlM2eZ76uvsUduBhKMpmLJuXeT8oWTKVbG39LP/PVO2mWunMrQwrYjIHZjNZsaNG8eWLVv46KOPeOihh+44JiAggN27d1vt27lzJwEBAYWe967/dd62bdvdDn1g2rZtS6tWrUps/jfffJNjx45x+fJlXF1dad68OUOGDMHLy6vQ19izZw/dunXLtX/Hjh14enrez3DvysyZM4tlDYOwsDDq1KnDyJEjCzzvzJkzPPnkk7n2f/rpp0X6i/BncPO1WLt2LXXr1i3UmOPHjzNjxgx++uknzp49y/Dhw3MtlDFv3jy+/PJLYmNjcXBwIDAwkCFDhuDn51eoOfz9/Zk9ezZPPfVUUW/pnowePZqdO3eSkJCAo6OjJe4aNWoUaxwiIiIiIiIAJ7++gY0R3HzLYGNr4MqJNH5Ydgnfx1ywsc2pNj29J5Efll6i3czqlnGJ5zLITDORei2LrAwTV06mAeDqUwajnYFqLctxeOVlds85z8Md3Ll2Op1jG6/S+LWKlmscXnEJj9plca5kR2aKiSNrr5B8KZOaT+W/kKKIyINmKKGFaIti7NixbNiwgTlz5uDk5MTFixcBcHFxwcHBAYB33nkHLy8vBg8eDEC3bt0ICwtj4cKFtGrVis8//5wff/yRcePGFXreP9UjVQcHB8uLlZeMjIwif/WhKB555BHefPNNPD09uXDhApMnT6Z///588sknRb7WF198YdVuqEKFB9vfrrDc3NxKOoQ8xcTEULNmTct2aY2ztElNTcXHx4fnnnuOiIiIPM/Zu3cvXbt2pUGDBmRnZ/P+++/To0cPNm7ciKOjYzFHXHj16tWjXbt2VK5cmevXrzNz5kx69OjBV199hdGYd7WJiIiIiIjIg2IwwpG1V7gRn9OSxsnDjtpt3Kj7t/KWczKSTZbjN+2ee56En1It25uGnALg+bl+OFe0w97JSMg/ffhufgKb3jlFGRcjDV6uQK1n3Kyuu3vuedKuZWPvbIO7nwPPTKiK60NlHuAdi4j88S1fvhzIKTC+XUREBB07dgTg3Llz2NjcamgTFBTElClTmD59Ou+//z7VqlVj9uzZBS5e+3sGs9lcqp5pmEwmFixYwIoVKzh37hweHh507tyZdu3a8eSTTzJz5kyWLFnCoUOH8PX1ZezYsQQGBgI57XEmTpzIvn37gJyq8K1bt/Lqq68yd+5c4uPjOXbsGGFhYdSqVQuAf//739ja2vLKK6/Qv39/DIbcvZSSkpJ49NFHmTlzplUl/5YtW3jnnXfYuXMnZcuWzTXuq6++ol+/fhw+fBg7OztLfJGRkUyePJlz587RtGlTxo8fT+XKlYFblfbfffcd5cqVK/TrlpGRwbRp09iwYQOJiYnUqlWLIUOG0KxZM6vXZtq0aUycOJHz588TFBREREQEFSvmPH3PysoiMjKStWvXYjQaeemll7h06RKJiYnMmTMHyF0BHxISQqdOnTh16hRffPEFrq6u9OnTh86dO1tiO3fuHJGRkXz77bfY2NjQuHFjRo4ciY+PT573MmzYMNasWZPrtczr/LupLr/dnj17iIqK4tdff8XW1paaNWsydepUvL29Cxx387MVFhbGrFmzuH79Os8//zz//Oc/WbhwITExMZhMJrp160afPn0s4xYtWsTq1as5ffo0rq6uPPHEEwwdOhQnJycAhg8fzo8//siqVauwt7cnIyODTp06Ubt2bSZPnlxgTP7+/lbbTZs2ZcmSJYV+LUJCQujWrVuuSvvfu3LlCs2bN2fp0qU0adLkjtc8e/asZdvb25tt27YRFxdHREQEBw8eJDU1FT8/PwYPHsyjjz5qOTchIYFRo0axe/duPDw8GDhwINOmTStUjHk5duwYzz//PFu2bKFq1aqFHve0zctFnktERESkKFoeSi/pEERERORPbnT9dSUdQi7VZ04tkXlP/mNwicxbFIWutJ81axYGg4GuXbvi5ubGrFmzCjXOYDDQr1+/Qgc0depUVq5cyfDhw2ncuDEJCQmcPHnScnzatGmEh4fj6+vLtGnTGDx4MF9++WW+LVvi4uLYvHkzs2bNsnrisWbNGl566SVWrlzJjz/+yOjRo6lSpQqdOnXKdQ1nZ2dat27Nhg0brJL269ev56mnnsozYX/t2jXWr19PYGAgdnZ2lv1paWnMnTuXSZMmYWdnx9ixYxk4cGCuavwOHTqQkZFBrVq1eOutt2jcuHGBr9u4ceP49ddfmTZtGhUrVmTLli307NmT9evXU61aNcvcCxcuZPLkydjY2DB06FAmTZrE1Kk5f0Gio6NZv349ERER+Pn5sXjxYrZu3WpJ/Odn0aJFvP3227z55pts3ryZMWPG0KRJE/z8/MjMzKRHjx4EBASwbNkybG1tmTNnDj179mTdunV5fvNh5MiR/Pbbb9SqVYu3334bAHd39wJj6NOnD+np6VSrVo2ePXvm2TLn97KysujXrx8vv/wy77//PpmZmRw6dCjPBzd5iYuL4+uvv2b+/PnExcXx9ttvc/r0aapXr86SJUs4cOAAI0aM4NFHH6VRo0ZAzt+Hmw8sTp8+zdixY4mKimLMmDEAjBo1iueff54pU6YwYsQIpk2bxo0bNxg9evQd41m5ciUvv/yy5VsHt3/u7qfExEQAXF3v/DXKzz77jObNmxMREUHLli0tFe4pKSm0atWKgQMHYm9vz9q1a3nzzTf54osvqFKlCgDh4eFcvXqVJUuWYGtrS2RkJJcvX76rmFNSUli9ejU+Pj53XCxERERERERERESkJBU5ad+2bdsHlrRPSkpi8eLFjB49mhdeeAGAqlWrEhwczJkzZwDo3r07rVu3BuDtt98mNDSUU6dO5dunOjMzk8mTJ+dK+lauXJkRI0ZgMBjw8/Pjl19+ISYmJs+kPUD79u0ZOnQoqamplC1blqSkJLZv357rdYiKimLZsmWkpqYSEBDABx98kCue0aNHW5K4kZGRtG3blkOHDtGwYUM8PT0ZO3Ys9evXJyMjg5UrV9KtWzdWrFhBvXr18owtPj6e1atX85///MfSP79Hjx588803rF69mkGDBlnmHjt2rKXKuGvXrpYKeoClS5fyxhtv8PTTTwM5PcG//vrrPOe83eOPP07Xrl0B6NWrFzExMezZswc/Pz8+//xzTCYTEyZMsCTDIyIiaNKkCXv37qVFixa5rufi4oKdnR0ODg537OPv6OjIsGHDCAoKwmAw8OWXX9KvXz9mz559x8R9UlISiYmJPPHEE5bXpCj9zs1mMxMnTsTZ2ZmaNWvSrFkzTp48SXR0NDY2Nvj5+REdHc2ePXss7/ftFeI+Pj4MGDCAd99915K0d3JyIioqirCwMJycnFi8eDEfffSRVauk/Nz8jLu5uT2w9Q9MJhMTJ04kKCioUF/puRlTuXLlrGKqU6cOderUsWwPGDCArVu3sm3bNl599VVOnDjBzp07+eyzz2jQoAEA48eP55lnnilSvMuWLWPKlCmkpKRQvXp1Fi1a9EBbZImIiIiIiIiIiNyrQiftFy9eDGCpgr25fT/FxsaSkZHBI488ku85t7cAuZkEvHLlSr7J1ipVquRZpd2oUSOriuqAgAAWLVpEdnY20dHRzJs3z3Js48aNPP7449jZ2bFt2zZCQ0PZvHkzzs7OVu08ICdZ/tJLLxEfH8+sWbMIDw9n3rx5lrlsbW0tSUjISRKXK1eOEydO0LBhQ/z8/KwW+AwKCuL06dPExMQQFRXFunXrePfddy3Ho6OjSUpKIjs7m+eee84qloyMDKve7mXLlrVqC1KxYkVL5XJiYiKXLl2iYcOGluNGo5F69ephMpnyfG1vuv09MRgMeHh4WK577Ngx4uLiCAoKshqTnp5OXFwc+/bto1evXpb9Y8eOpX379nnOExoaSnx8PACNGzdm/vz5uLu78/rrr1vOadiwIQkJCSxYsOCOSXs3Nzc6duxIjx49eOyxx2jevDlt2rSxtAu6E29vb6tkuoeHB0aj0eobHbe/FpCzUvS8efOIjY21vG/p6emWh0EAgYGBdO/enTlz5tCrVy+Cg4MLFU9xGDt2LMePH+fjjz++p+skJycza9Ystm/fzsWLF8nOziYtLc3y/p48eRJbW1urB1W+vr6Fqu6/Xfv27Xnssce4ePEiCxYsYMCAASxfvpwyZdS3UURERERERERESqdCJ+2bNm3KjBkzMBgMNGrUiKZNm973YAqTSLu95cfNRHhBSeW8WtfcSZcuXWjTpo1lu2LFitja2vLss8+yfv16QkND2bBhA23bts3Vlsfd3R13d3eqV69OjRo1aNWqFT/88IOl7/7daNCgAd9//z2Q0yP8ZtU2gJeXF9u2bcNoNLJq1apcC2zevlDo72M1GAzcjyUNCrpuSkoK9erVY8qUKbnGubu7Y2dnx9q1ay37Clpw98MPPyQrKwugwAWHGzVqxM6dOwsVe0REBGFhYXzzzTds2rSJ6dOns2jRIgICAu44Nq/7zmvfzc/nmTNn6N27N6+88goDBw7E1dWV/fv3M3LkSDIzMy2fVZPJxPfff4/RaCQuLq5Q91Ecxo0bx/bt21m6dOk9t5iZNGkSO3fuJDw8nKpVq+Lg4MDbb79NZmbmfYo2h4uLCy4uLlSrVs3y79aWLVv429/+dl/nERERERERERERuV8KnbQHmDNnDnPnzsXe3p7AwECaNm1Ks2bNaNSoUb495YuiWrVqODg4sHv3bh566KF7vl5BDh06ZLV98OBBfH19MRqNuLm5WVWo39SuXTu6d+/O8ePH2b17NwMGDChwjpvJ2oyMWyu/Z2Vl8eOPP1oq2mNjY7lx40aBbVmOHTtm+VaBs7NzrlYpdevWJTs7mytXrtx1VbaLiwseHh4cPnzYsrhodnY2R44csWpjUlT16tVj06ZNVKhQId8WL76+vrn22dnZ5XoYc6fFYW86evRokdrDPPzwwzz88MP07t2bzp07s2HDhkIl7Yvqp59+wmw2M2zYMEs1/qZNm3KdN3/+fGJjY1myZAk9e/Zk1apVvPjii3e8/s0HWtnZ2fc1brPZzHvvvceWLVtYsmRJkf9u2tnZ5YrpwIEDvPDCC5ZWTMnJyVYL1lavXp2srCyOHDlC/fr1ATh16hTXr1+/53u5/e+jiIiIiIiIiIiUDMO91xL/aRUp0z5s2DD27t3L/v372b17N7t378ZgMODg4EBQUBDNmjXjkUceoX79+lYtQgqrTJky9OrVi6ioKOzs7AgKCuLKlSscP36c5s2bF/l6BYmPjyciIoLOnTtz5MgRli5dSnh4eIFjmjRpgoeHB0OGDMHHx8eq4v3gwYMcPnyYxo0bU65cOeLi4vjXv/5F1apVrars7ezseO+99xg1ahRGo5H33nuPgIAASxI/JiYGHx8fatWqRXp6OitXrmT37t0sXLgw37iqV69Ou3bteOeddxg2bBh169bl6tWr7Nq1C39/f8saAHfy6quvMm/ePKpWrYqfnx9Lly7l+vXrhV6YNS/t2rVjwYIF9OnTh/79++Pl5UV8fLxlodz8Kra9vb05ePAgZ86cwdHRETc3tzw/U2vWrMHOzo66desCsGXLFlatWsX48ePvGNvp06dZsWIFISEhVKxYkZMnT/Lbb7/x/PPP3/X9FsTX15fMzEyWLFlCSEgI+/fvz7UA8ZEjR5gxYwYzZsygcePGDBs2jAkTJtC0adM7JssrVKiAg4MD33zzDZUqVaJMmTK4uLgUOCYjI4MTJ05Y/nzhwgWOHj2Ko6Oj5WHK2LFj2bBhA3PmzMHJyYmLFy8COQ96CvrGw03e3t7s2rWLoKAg7O3tcXV1xdfXly1bthASEoLBYGD69OlWD2lq1KjBo48+yujRoxkzZoxlIVoHB4dCfR5Pnz7N559/zmOPPYa7uzvnz5/nww8/xMHBwWoxaRERERERkZKWnpjNvgUXOLMvGYMBqj7iQuPuFbErm39eJfVqFt8vvsj5Q8lkppooV8We+i9WoGrzW78D3ojP4MDii1w8lkp2lpnyvmVo2MWDSg1ufSP/8q+pHFh6iSsn0jAYoEJNBwK7eVK+2p1/1xMRkQenSEn71157jddeew2z2cyxY8fYs2cPu3fv5vvvv+fbb7/l22+/xWAw4OjoSHBwMM2aNaNZs2b5LqCal759+2I0GpkxYwYJCQl4enrSpUuXIt/YnXTo0IG0tDRefvlljEYj3bp1o3PnzgWOMRgMhIaGMn/+/FyL6zo4OPDll18yc+ZMUlJS8PT0pGXLlvTt29dq4UsHBwd69erF4MGDuXDhAsHBwUyYMMFyPDMzk0mTJnHhwgXKli1L7dq1WbRoUYF9/iGnzcvcuXOJjIwkISEBNzc3AgICCp2wh5xFZC9dukR4eDhGo5FOnTrRokWLXC13iqJs2bIsXbqUKVOm8NZbb5GcnIyXlxfNmzcvcHHV7t27M2zYMEJDQ0lLS+Orr77Cx8cnz3PnzJlDfHw8RqMRPz8/pk2blqu/f36xxcbGsmbNGq5du0bFihXp2rXrA/m8Qc7iq8OHDyc6Opr333+f4OBgBg0aZHlYlJ6eztChQ+nYsSMhISEAdO7cme3btzN06FCWLVtW4Htha2vLqFGjmD17NjNmzCA4OJglS5YUGFNCQgIdOnSwbC9cuJCFCxfStGlTy9jly5cDEBYWZjU2IiKCjh073vG+w8PDiYyMZOXKlZZ2TsOGDWPEiBF06dKF8uXL06tXL5KTk63GTZo0iZEjR9K1a1c8PT0ZNGgQv/76a6HaaNnb27Nv3z4++ugjbty4QYUKFQgODmb58uUFtmASERERERF5ELaMjsOvtSs1QnKv0/Xtv86RdjWLJ0f7YMo2s3vWefZ8cJ4WA6vke72dM8+RmWyi1TBvyrgY+W1HIjvej+e5Sb64++Uk3LdPPINLZXueHOOD0d6GYxuvsj3iDM/P9qNseVsyU01se+8MPk2cadrLF1O2mUOfXmLbe2d4YV4NbGzvvoBPRKRQzPp3Jj8G831oam42mzl69Ci7d++2VOInJiZiMBgwGAwcOXLkfsR634SFhVGnTh1GjhxZrPOuXr2aiRMnsm/fvmKd926ZTCbatGlDmzZt7tgKSORBO3/+PK1atSImJua+f/OmIE/bvFxsc4mIiMhfU8tD6SUdgog8YPkl7a+fSWdD/994bpIvFWrmJNvjDyTznwlneOHDGji6511r+WnXX2jSywu/1reut/L/jhMY5knNp9xIu5HFqtdP8PR7D1Hx4ZzK+sxUEytePU7IaB8qN3Li8q9pfBF+ig7z/HDyyGm3evVUOp8P+o32s6rjUtk+z7lF5I9pdP11JR1CLn7/er9E5o3tP6hE5i2Ke29ET04F+s2+4M899xzffvstixcv5vjx4/fj8lJMzp49y7fffkuTJk3IyMhg2bJlnD17lnbt2pV0aPIXtGvXLlJSUqhduzYXL14kKioKb2/vu163QUREREREpLS59HMa9k42loQ9QKWGjhgMcPl4Ko7N8m556uFfllM7E/Fu7Iy9kw2ndiaSnWnGq15Ogr6Mi5FyVeyJ/e8N3P0csLEzcPzLazi4GnGvkTNXOW97yrgYOfHVdep1rIDZZObEV9cp52OPU0W7B3/zIiKSr3tO2l+4cIE9e/ZYfm4uJuno6EjLli0ti5pK6WdjY8Pq1auZNGkSZrPZ0pqnoEVyS7vb1xP4vejo6HwTwKGhocTHx+d5bOzYsbRv3/6+xFcUH3zwAfPmzcvzWOPGjZk/f36u/Xd7/4W1bt063n333TyPValShY0bN971tbOyspg2bRqnT5/GycmJwMBApkyZgp2d3QOdV0RERERE5F79uOoyP62+bNnOzjBz6Zc09i24YNn3t+nVSb2WRRlX6zaoNkYD9s5GUq9m5Xv9loOrsGNqPJ+99isGI9iWsaHVO96W6niDwcCTY3z476SzfPrqcQwGcHA18sQoH8o458xnV9aGp8Y9xH8nneXHz3JidalkzxP/9MHGqJYVIlIMtBBtvorcHufy5cuWXvZ79uwhLi4Os9mMi4sLjRs3pmnTpjRp0oR69erd1WK0IvfTqVOn8j3m5eWV70KqZ8+eJSsr7/+DVKFChQL78T8o165d4/r163kec3BwwMvLK9f+u73/wkpKSuLy5ct5HrO1tcXb2/uerl8a5lV7HBEREXnQ1B5H5M8nPTGbjKRsy/a3/zrHQ484U/W2ynmninYcWXuF2O3XaT/Tz2r8Z6//SsPOFaj9XPk8r//d/Atc/jWNgL97UKackdN7kzi2/ipPj69Ked8ymM1mvp4UjynLTL2X3LG1t+HXrdc5810SbSb7Ura8LVnpJra+e5py3vb4t3HDbIIj/77CjbMZPDfJF9syyumI/JmUyvY400uoPc6AP1l7nLZt23Ly5EkAypUrR3BwMK+88gpNmzalbt26GAx6Eiuli6+v712Ne1DJ5nvh5uaGm5tbkcbc7f0XlrOzc4k8wCipeUVERERERAqjjIuRMi63KuiN9gYcytnm6hNf1s2W9OvZVvtM2WYykrIpWz7vlE3i+Qx+2XSN0GnVcKtaBoDy1Ry4eCSVX764SrPelbhwOIWz+5N4+aOa2DnmxNH0DQfOH0wm9j857XB+++YGyQmZPDuxKgabnHzOYwOqsPL/jnPmuySqtSh3314PEZE8qdI+X0VK2sfGxmJjY8NTTz1Ft27daNSoEXZ26nMmIiIiIiIiIlJUHv4OZCSbuHwijQr/6zV/4XAKZjNUqFU2zzFZ6TlZLsPvCuENNoDJ+hx+X1xpAzf7LWRnmMFAzs9t1zAYbp0jIiIlo0jfdQoLC6NWrVps2bKFsLAwmjZtymuvvcacOXPYt28fmZmZDypOEREREREREZE/hMxUE6lXsyw/LQZWoUqgk9U+U7YZV58yVA50Ys/c81w6nkrCsRS+m38B38dccHTPqbNMuZzJ+n+c5NLxVABcve1xqWTHng8ucOl4KonnMzi67grnDqXg0zTnG8ke/g7YOxnZNfMcV39L40Z8Bt9/lEByQibejZ2AnAVvM5JNfBedwPUz6VyLS2fXrPMYbAxUqu9YMi+ciIgAd9HTHnJ6a+/du5c9e/awd+9efv31VwDKlClDo0aNaNq0Kc2aNVMlvoj84amnvYiIiDxo6mkv8udz6NNLHF6R9zpcNz0/1w/ninakJ2bz3fwLnN2XhMHGwEOPOBPc3Qu7sjl1lkkJmfy7TyxPjX0Ir/8l02/EZ/DD0otcPJZKZpoJl0r21G1fHr/WrpbrX/41jYMfX+TyiTRM2eD2kD31X66Ad9CtVqPnDiZzeMVlrsWlY7CB8tUdCPi7Bx61867yF5E/rtLY077G+yXT0/7EoNLf0/6ukva/d+XKFUsCf+/evZw4cQKDwUCZMmUICAggJibmPoQqIlL8lLQXERGRB01JexEREXnQlLS/5Y+QtC9ST/v8uLu706ZNG9q0aUNmZibbtm1j1qxZHD9+nD179tyPKURERERERERERETkz0LrZ+TrnpP22dnZHDp0yFJpf+DAAdLS0rhZwF++fPl7DlJERERERERERERE5K+gyEl7k8nE4cOH2bNnD3v27OHAgQOkpqZakvSurq489thjNGvWjGbNmlG7du37HrSIiIiIiIiIiIiI/IGp0j5fRUra9+rVi++//56UlBRLkt7FxYXWrVtbkvR16tTBYDA8kGBFRERERERERERERP7MipS0/+abb3B0dKRly5aWJP3DDz+MjY3Ng4pPREREREREREREROQvo0hJ+08//ZT69etjNBofVDwiIiIiIiIiIiIi8idnUHucfBUpad+oUaMHFYeIiIiIiIiIiIiIyF9ekReiFRERERERERERERG5J2ati5ofNaMXERERERERERERESklVGkvIiIiIiIiIiIiIsVLPe3zpUp7EREREREREREREZFSQkl7EREREREREREREZFSQu1xRERERERERERERKRYGdQeJ1+qtBcRERERERERERERKSVUaS8iIiIiIiIiIiIixUuV9vlSpb2IiIiIiIiIiIiISCmhSnsRERERERERERERKVbqaZ8/VdqLiIiIiIiIiIiIiJQSStqLiIiIiIiIiIiIiJQSao8jIiIiIiIiIiIiIsVL7XHypUp7EREREREREREREZFSQpX2IiIiIiIiIiIiIlK8VGmfLyXtRUREREREStAoj2MlHYKIiIiIlCJK2ouIiIiIiIiIiIhIsTKo0j5f6mkvIiIiIiIiIiIiIlJKKGkvIiIiIiIiIiIiIlJKKGkvIiIiIiIiIiIiIlJKKGkvIiIiIiIiIiIiIlJKaCFaERERERERERERESleWog2X6q0FxEREREREREREREpJVRpLyIiIiIiIiIiIiLFyqBK+3yp0l5EREREREREREREpJRQ0l5EREREREREREREpJRQexwRERERERERERERKV5qj5MvVdqLiIiIiIiIiIiIiJQSqrQXERERERERERERkeKlSvt8qdJeRERERERERERERKSUUKW9iIiIiIiIiIiIiBQrgyrt86VKexERERERERERERGRUkJJexERERERERERERGRUkLtcURERERERERERESkeKk9Tr5UaS8iIiIiIiIiIiIiUkqo0l5EREREREREREREipUWos2fKu1FREREREREREREREoJVdqLiIiIiIiIiIiISPFSpX2+lLQXEREREREREXnATsbBmKlw4hQkJkPFChD6FPR7DewKyM4cPgrvfwg//QIGoEFdGPIm1KmZc3zvAfhoJRw6Cskp4OsD3btAu6dvXSMzCz5cCv/eDBcuQfWHYHBvaNnsQd6xiIjcLSXtRUREREREREQeMFtbeP5ZeLg2uDjDzydgdBSYTTDwjbzHJKdAr3cg5FEYPRCysmHWIug1FLatzEn2H/gRateAnn+HCuVh+y4YNhGcneCJR3Ou86/5sH4LjBsKflVhx174xyj4eHZOPCIiUrooaS8iIiIiIiIi8oA9VCXn5ybvSjlV8vsP5T/mZBxcv2HgHz3MVK6Ys6/f/8Hz3Q3Enzfj6wO9w6zHdHsJvv0Otn59K2m/7suc81o9krP9SgfYtR9iVsDkUfftFkVEikbtcfKlhWhFRERERERERIrZqTM5Fe/BAfmfU70quLmaWbURMjIhLR0++xxq+JrxrpT/uKRkcC13azsjE8rYW5/jUAb2H76nWxARkQdElfYiIiIiIiIiIsXklb5w5DhkZBjo1M7M293zP9fJET6antPKZu7inH2+PhAdldNuJy+btsHhYzBm8K19LZrkVNUHN4KqVXKq7Ld8Ddmm+3ZbIiJFZlClfb5UaS8iIiIiIiIiUkzeHwOromHKP838dzcs/CT/c9PS4Z+TIbA+fDIHls2CWtXhzWE5x35vz/cwchKMG5Jz3k0j3oZqPhAaBg2fgvH/ghfagI3hvt+eiIjcB6q0FxEREREREREpJjd709esllPp/u4UeL0zGI25z92wFc6eh+VzwOZ/ZZdR/4RH/gZf7YDQJ2+du/cH6DsChvWDDs9ZX8fdDWZNgPR0uHYDKnrA1HngUwURkZKjSvt8/WEq7c+cOYO/vz9Hjx7N95zVq1cTHBxcjFH99YSFhTFhwoSSDkNERERERETkD89kgqwsMOWTuEpLA4Mh5+cmm/9tm29rbbP3APQZBoN6Q6f2+c9Xpgx4eUJWdk57nCcfuz/3ISLyZ/Xdd9/x5ptv0qJFC/z9/dm6dWuB5+/Zswd/f/9cPxcvXizSvH+qSvu2bdvSqlWrEpv/zTff5NixY1y+fBlXV1eaN2/OkCFD8PLyKvQ19uzZQ7du3XLt37FjB56envcz3Lsyc+ZMbPNrnHcfhYWFUadOHUaOHFngeWfOnOHJJ5/Mtf/TTz8lICDgAUVXOt18LdauXUvdunULNeb48ePMmDGDn376ibNnzzJ8+HBee+01q3M+/vhjli9fztmzZwGoVasWffv2LfTfNX9/f2bPns1TTz1VpPu5F9euXWPmzJns2LGDc+fO4e7uzlNPPUX//v1xcXEptjhERERERERuWr8FbI1Q2w/s7eHHYzAtGtqEgN3/fs3e8nXOvs+X5Gw/GgxRH8C4afBqx5zkfvSynKr8pkE55+z5HvoMh7AX4ZnH4eLlnP12duD2v8VoDx6BC5egbk24cBFmx+Q8MOjxSrG+BCIifzgpKSn4+/vz4osv8tZbbxV63BdffIGzs7Nlu0KFCkWa90+VtHdwcMDBwSHf4xkZGdjb2+d7/F498sgjvPnmm3h6enLhwgUmT55M//79+eSTAhrU5eNe39gHxc3NraRDyFNMTAw1a9a0bJfWOEub1NRUfHx8eO6554iIiMjznEqVKjFkyBB8fX0xm82sXbuWfv36sWbNGmrVqlXMERdOQkICCQkJhIeHU7NmTc6ePcuYMWNISEhgxowZJR2eiIiIiIj8BRmNMH85/HY6Z7uyF3R9Af7v5VvnJCXDyTgDN3tG+PnCnIkw5yN4pV9OlX3dWvDhZKj4vzTB2s2Qmmbgw2Xw4bJb12oSYGbxv3L+nJ4BM+bD6XPgWBYebwaTRkI51TSJSEkqofY4GRkZZGRkWO2zt7fPM2/cqlWruyoSr1ChAuXKlbvrGEtdexyTyUR0dDRPP/009evXp3Xr1sydO9dy/PTp04SFhdGoUSPat2/PgQMHLMd+3x5n5syZPP/886xcuZKQkBAaNmwI5FRxjxs3jnHjxtG4cWOaNWvG9OnTMZvz/qQkJSXRsGFD/vvf/1rt37JlC4GBgaSmpgLw2muvERAQgLe3N0FBQfTq1YsffviBzMxMq/i2bt3KM888Q4MGDejRowfnzp3LNWeFChXw9PS0/NjYFPxWZWRkMGnSJFq2bElAQAAvv/wye/bsyfXafPPNN7Rp04bAwEB69OhBQkKC5ZysrCzGjx9PcHAwzZo1IyoqivDwcPr27Ws55/ftcUJCQvjggw8YPnw4gYGBtG7dmk8//dQqtnPnztG/f3+Cg4Np2rQpffr04cyZM/ney7Bhw9i7dy+LFy+2fIWkoPMhJ0l/++tlZ2dX4Pk37dmzh5deeomAgACCg4Pp0qWLpaK8IDc/W5999hmtW7cmMDCQMWPGkJ2dTXR0NI899hjNmze3+uwCLFq0iHbt2hEQEECrVq0YM2YMycnJluPDhw+nXbt2ln84MjIy6NChA++8884dY7r5jYMOHTrg7+9PWFjYHcc0bNiQ8PBwQkND832gFRISQqtWrahWrRrVq1dn4MCBODo68sMPP9zx+iEhIQD069cPf39/y3ZcXBx9+vTh0UcfJTAwkBdffJGdO3dajU1ISOCNN96gYcOGhISEsH79ekJCQoiJibnjvLVr12bmzJmEhIRQtWpVmjdvzoABA9i2bRtZWVl3HC8iIiIiInK/tQ3JWYB2/xc5Pxs+gjdezWlZc9MLbeDof61zE481yVmAdu9G2L0BFk2DgHq3jkcMzxnz+5+bCXuApgGwYTEc3AK71uUk7Ct6PNj7FREprebNm0fjxo2tfubNm3df5+jQoQMtWrTg9ddfZ//+/UUeX+qS9lOnTiU6Opq+ffvy+eefM2XKFDw8bv0vybRp0+jRowdr166lWrVqDB48uMAkXFxcHJs3b2bWrFmsXbvWsn/NmjUYjUZWrlzJyJEjiYmJYeXKlXlew9nZmdatW7Nhwwar/evXr+epp56ibNmyucZcu3aN9evXExgYaJVATktLY+7cuUyaNInly5dz48YNBg4cmGt8Ud/YcePGceDAAaZNm8a6det47rnn6NmzJ7/99pvV3AsXLmTy5MksXbqUc+fOMWnSJMvx6Oho1q9fT0REBB9//DFJSUl37NMEOYno+vXrs3btWv7+978zZswYYmNjAcjMzKRHjx44OTmxbNkyli9fjqOjIz179sz1ROumkSNHEhgYSKdOndixYwc7duygcuXKBcbQp08fmjdvziuvvMJXX311x5gh5yFFv379aNKkCevWrePTTz+lc+fOGG5vFliAuLg4vv76a+bPn8/UqVP57LPPeOONN7hw4QJLlixhyJAhTJ8+nYMHD1rGGAwGRo4cyYYNG4iMjGT37t1ERUVZjo8aNYrU1FSmTJkC5Hzeb9y4wejRo+8Yz83Pb0xMDDt27GDmzJmFuo+iyM7OZuPGjaSkpBAYGHjH8z/77DMAIiIi2LFjh2U7JSWFVq1aERMTw5o1a2jZsiVvvvkm8fHxlrHh4eEkJCSwZMkSZs6cyYoVK7h8+fJdx56UlISzs3OxtHcSEREREREREZGCGcwl89O7d2/2799v9dO7d+/7ck+enp6MHTuWGTNmMGPGDCpVqkS3bt346aefinSdUpW9SkpKYvHixYwePZoXXngBgKpVqxIcHGyptO7evTutW7cG4O233yY0NJRTp05Ro0aNPK+ZmZnJ5MmTcXd3t9pfuXJlRowYgcFgwM/Pj19++YWYmBg6deqU53Xat2/P0KFDSU1NpWzZsiQlJbF9+3ZmzZpldV5UVBTLli0jNTWVgIAAPvjgg1zxjB49mkaNGgEQGRlJ27ZtOXToEA0bNrS8sfXr1ycjI4OVK1fSrVs3VqxYQb169chLfHw8q1ev5j//+Y+lf36PHj345ptvWL16NYMGDbLMPXbsWKpWrQpA165dmTNnjuU6S5cu5Y033uDpp58GYPTo0Xz99dd5znm7xx9/nK5duwLQq1cvYmJi2LNnD35+fnz++eeYTCYmTJhgSYZHRETQpEkT9u7dS4sWLXJdz8XFBTs7OxwcHO7Yx9/R0ZFhw4YRFBSEwWDgyy+/pF+/fsyePTvPXve3S0pKIjExkSeeeMLymuT3OcqL2Wxm4sSJODs7U7NmTZo1a8bJkyeJjo7GxsYGPz8/oqOj2bNnj+X9vr1fvI+PDwMGDODdd99lzJgxADg5OREVFUVYWBhOTk4sXryYjz76yKpVUn5ufsZvfuvgfvr555/p0qUL6enpODo6Mnv2bKt2RHeKqVy5clYx1alThzp16li2BwwYwNatW9m2bRuvvvoqJ06cYOfOnXz22Wc0aNAAgPHjx/PMM8/cVfxXrlxhzpw5dO7c+a7Gi4iIiIiIiIjIn0N+rXDuBz8/P/z8/CzbQUFBnD59mpiYGKvC3TspVUn72NhYMjIyeOSRR/I9x9/f3/Lnm0nAK1eu5JtsrVKlSq6EPUCjRo2sKqoDAgJYtGiRpb3J7V+J2LhxI48//jh2dnZs27aN0NBQNm/ejLOzM48++qjVdXv06MFLL71EfHw8s2bNIjw8nHnz5lnmsrW1tSQhISdJXK5cOU6cOEHDhg3v+MauW7eOd99913I8OjqapKQksrOzee6556xiycjIsOrtXrZsWUtyGqBixYqWyuXExEQuXbpkaSEEYDQaqVevHibTbUvS5+H298RgMODh4WG57rFjx4iLiyMoKMhqTHp6OnFxcezbt49evXpZ9o8dO5b27fNe6j40NNRSid24cWPmz5+Pu7s7r7/+uuWchg0bkpCQwIIFC+6YtHdzc6Njx4706NHD0s6mTZs2VKxYscBxN3l7e1sl0z08PDAajVatjG5/LQB27tzJvHnziI2Ntbxv6enplodBAIGBgXTv3p05c+bQq1cvq5ZPJaV69eqsXbuWxMRENm/eTHh4OEuXLi1U4j4vycnJzJo1i+3bt3Px4kWys7NJS0uzvL8nT57E1tbW6kGVr68vrq6uRZ4rKSmJ3r17U6NGjSItGCIiIiIiIiIiIg9QCfW0L24NGjTg+++/L9KYUpW0L3N7I7d83N5q5mYivKCkcl6ta+6kS5cutGnTxrJdsWJFbG1tefbZZ1m/fj2hoaFs2LCBtm3b5mq14e7ujru7O9WrV6dGjRq0atWKH374oVCtRPJz+xsbEhJiqdoG8PLyYtu2bRiNRlatWoXRaLQa6+joaPnz72M1GAz59vEvioKum5KSQr169SztXm7n7u6OnZ2dVduighbc/fDDDy2tkApacLhRo0a5+qPnJyIigrCwML755hs2bdrE9OnTWbRoEQEBAXccm9d957Xv5ufzzJkz9O7dm1deeYWBAwfi6urK/v37GTlyJJmZmZbPqslk4vvvv8doNBIXF1eo+3jQ7O3t8fX1BaB+/focPnyYxYsXM27cuLu63qRJk9i5cyfh4eFUrVoVBwcH3n77bcv6D/dLUlISPXv2xMnJidmzZxd6rQMREREREREREZH74dixY0XuilGqkvbVqlXDwcGB3bt389BDDz3QuQ4dOmS1ffDgQXx9fTEajbi5uVlVqN/Url07unfvzvHjx9m9ezcDBgwocI6bydrbe7dnZWXx448/WiraY2NjuXHjRoFtWW5/Y52dnXO1Sqlbty7Z2dlcuXLlrquyXVxc8PDw4PDhwzRp0gTI6V9+5MgRqzYmRVWvXj02bdpEhQoV8m3xcjMZfDs7O7tcD2O8vb0LNefRo0eL9Bfh4Ycf5uGHH6Z379507tyZDRs2FCppX1Q//fQTZrOZYcOGWarxN23alOu8+fPnExsby5IlS+jZsyerVq3ixRdfvOP1byaks7Oz72/geTCZTPmuSfB7dnZ2uWI6cOAAL7zwgqUVU3JystUCwNWrVycrK4sjR45Qv359AE6dOsX169cLHWNSUhI9evTA3t6euXPnFuqhoIiIiIiIiIiIyE3JyclWRbVnzpzh6NGjuLq6UqVKFaZOncqFCxeYPHkykLPWpI+PD7Vq1SI9PZ2VK1eye/duFi5cWKR5S1XSvkyZMvTq1YuoqCjs7OwICgriypUrHD9+nObNm9/XueLj44mIiKBz584cOXKEpUuXEh4eXuCYJk2a4OHhwZAhQ/Dx8bGqeD948CCHDx+mcePGlCtXjri4OP71r39RtWpVqyp7Ozs73nvvPUaNGoXRaOS9994jICDAksS/mze2evXqtGvXjnfeeYdhw4ZRt25drl69yq5du/D397esAXAnr776KvPmzaNq1ar4+fmxdOlSrl+/XuiFWfPSrl07FixYQJ8+fejfvz9eXl7Ex8ezZcsWevbsSaVKlfIc5+3tzcGDBzlz5gyOjo64ublZtZ25ac2aNdjZ2VG3bl0AtmzZwqpVqxg/fvwdYzt9+jQrVqwgJCSEihUrcvLkSX777Teef/75u77fgvj6+pKZmcmSJUsICQlh//79fPLJJ1bnHDlyxLJQRePGjRk2bBgTJkygadOmd3yQVaFCBRwcHPjmm2+oVKkSZcqUwcXFpcAxGRkZnDhxwvLnCxcucPToURwdHS0PU6ZOncrjjz9O5cqVSU5OZsOGDezdu5cFCxYU6r69vb3ZtWsXQUFB2Nvb4+rqiq+vL1u2bCEkJASDwcD06dOtHtLUqFGDRx99lNGjRzNmzBhsbW2JjIzEwcGhUJ/HpKQkunfvTmpqKlFRUSQlJZGUlATkfMPj999IERERERERKSnXbsCEf8F/doKNDTz9OIz4Bzg55j+mW3/47gfr3406tzczZnDOn9dsghGRef/utGOtmQrlc/6ckQFzPoJ1W+DSFfCsAH27wYuh9+POREQKZvgDtMf58ccf6datm2U7IiICgBdeeIHIyEguXrzIuXPnLMczMzOZNGkSFy5coGzZstSuXZtFixYV2A4+L6UqaQ/Qt29fjEYjM2bMICEhAU9PT7p06XLf5+nQoQNpaWm8/PLLGI1GunXrdsdFKg0GA6GhocyfP59+/fpZHXNwcODLL79k5syZpKSk4OnpScuWLenbt6/VwgYODg706tWLwYMHc+HCBYKDg5kwYYLl+N2+sREREcydO5fIyEgSEhJwc3MjICCg0Al7yFlE9tKlS4SHh2M0GunUqRMtWrS4pwRn2bJlWbp0KVOmTOGtt94iOTkZLy8vmjdvXuDiqt27d2fYsGGEhoaSlpbGV199hY+PT57nzpkzh/j4eIxGI35+fkybNi1Xf//8YouNjWXNmjVcu3aNihUr0rVr1wfyeYOcxVeHDx9OdHQ077//PsHBwQwaNMjysCg9PZ2hQ4fSsWNHQkJCAOjcuTPbt29n6NChLFu2rMD3wtbWllGjRjF79mxmzJhBcHAwS5YsKTCmhIQEOnToYNleuHAhCxcupGnTppaxly9fJjw8nISEBFxcXPD392fBggU89thjhbrv8PBwIiMjWblypaWd07BhwxgxYgRdunShfPny9OrVi+TkZKtxkyZNYuTIkXTt2hVPT08GDRrEr7/+WqiK+Z9++omDBw8CWKr5byrosyQiIiIiIvIgdOsPLzwHL7TJfeyd9+DiFVgwFbKyYEQkvDsFpowu+Jov/83MP7rf2i57WxfZNiHQoql1NmxEJKRnYEnYAwwcA5euwvh3wNcbEi7DfeiiKyLyp9GsWTN+/vnnfI9HRkZabffq1ctq/c67ZTDfj6bmfzBhYWHUqVOHkSNHFuu8q1evZuLEiezbt69Y571bJpOJNm3a0KZNmzu2AhJ50M6fP0+rVq2IiYm579+8KcjTNi8X21wiIiLy17Q5/mBJhyAiD1h+SfsTv8Hf/s/Aynlm6v+vM+03e6B3OGz/DCp65H+9OjVzKvIL48o1aP0ivPcOPP/srXkGj4Mvl4Nbubu5KxH5I7Gp9EtJh5BLg8HTSmTew1MHlsi8RVHqKu2l5Jw9e5Zvv/2WJk2akJGRwbJlyzh79izt2rUr6dDkL2jXrl2kpKRQu3ZtLl68SFRUFN7e3ne9boOIiIiIiEhp88NPUM75VsIeoHnjnDY5B4/ktMrJz4YtsH4LeLjDE49Cn27W1fa3+/dmcHCAZ1vf2rftW6jnDwuWw7ovc8aGPAZv9wAHLQkmIlKilLQXCxsbG1avXs2kSZMwm82W1jwFLZJb2t2+nsDvRUdH55sADg0NJT4+Ps9jY8eOpX379vclvqL44IMPmDdvXp7HGjduzPz583Ptv9v7L6x169bx7rvv5nmsSpUqbNy48a6vnZWVxbRp0zh9+jROTk4EBgYyZcoU7OzsHui8IiIiIiIi92reEvhw2a3ttPScJPz4f93at/6jnD7y7uWtx9ragqtLzrH8/O1JqFIJKlaAn2Nh6jw4GQcz81nebdVGCH3SOhl/5hx8fxjK2OeMu3odxk2Da9dh4vCi37OISJH95fq/FN5fsj2O/HWcOnUq32NeXl44OORdhnD27FmysrLyPFahQoUC+/E/KNeuXeP69et5HnNwcMDLyyvX/ru9/8JKSkri8uXLeR6ztbXF29v7nq5fGuZVexwRERF50NQeR+TP59oNuH7j1vY743Oq5m+vnPeulFPlvnYzbFpqPf6x5+Gt1+GVDoWbb/f38PpAA5s/NlP1d78OHfgR/t7PwGcfmqnnf2t/j8Gw/xB8swZc/vcr7pdfw4DR8P1mVduL/NmUyvY4g0qoPc77ao8jUqJ8fX3vatyDSjbfCzc3N9zc3Io05m7vv7CcnZ1L5AFGSc0rIiIiIiJSGG7lrPvElymTswCsr4/1eR7ucOWq9b6sLLiemHOssBrWzflv3FlyJe0/2wh1a1on7AE8K4CX562EPUCNqmA2Gzh/0Uy138UqIiLFx6akAxARERERERER+SsKqAc3kgz89POtfXsOgMkEjR4u/HWO/ZrzX88K1vuTU+CL/8CLobnHBNWHhEs559z02xmwsTFTybPwc4uI3C1DCf38EShpLyIiIiIiIiJyHyWnwMXLt36mjoYWTa33ZWdDjWrQsqmZf0bBoaM5Pebfmw5tQ6CiR861LlyEtmE5xyGnmn7OR/DTz3D2XM6CssMmQnAjM/6/W5Ju039y5mn3dO4YQ5/K+TbAyEj49Tf47iBEzYWObdQaR0SkpKk9joiIiIiIiIjIfbToU5gdU3A959ZPzHhXhsn/hPHT4fWBYGMDzzwOI96+dV5WFpyMM5CWlrMkoZ0d7NoPiz+D1DSo5JnTK79Pt9xzrNqYc6ycS+5jTo6wYGrO4rgvv5GTwH/uCejf8x5uXESkKLTSar60EK2ISAG0EK2IiIg8aFqIVkRERB600rgQbcOBJbMQ7aFppX8hWrXHEREREREREREREREpJdQeR0RERERERERERESKlUH9X/KlSnsRERERERERERERkVJClfYiIiIiIiIiIiIiUrxUaZ8vVdqLiIiIiIiIiIiIiJQSqrQXERERERERERERkeKlSvt8qdJeRERERERERERERKSUUNJeRERERERERERERKSUUHscERERERERERERESlWBrXHyZcq7UVERERERERERERESglV2ouIiIiIiIiIiIhI8VKlfb5UaS8iIiIiIiIiIiIiUkqo0l5EREREREREREREipV62udPlfYiIiIiIiIiIiIiIqWEkvYiIiIiIiIiIiIiIqWE2uOIiIiIiIiIiIiISPFSe5x8qdJeRERERERERERERKSUUKW9iIiIiIiIiIiIiBQrLUSbP1Xai4iIiIiIiIiIiIiUEqq0FxEREREREREREZHipUr7fKnSXkRERERERERERESklFDSXkRERERERERERESklFB7HBERERERkRI081rVkg5BRERE/uT6VyrpCPKg9jj5UqW9iIiIiIiIiIiIiEgpoUp7ERERERERERERESlWBlXa50uV9iIiIiIiIiIiIiIipYQq7UVERERERERERESkeKnSPl+qtBcRERERERERERERKSWUtBcRERERERERERERKSXUHkdEREREREREREREipXBrP44+VGlvYiIiIiIiIiIiIhIKaFKexEREREREREREREpXiq0z5cq7UVERERERERERERESglV2ouIiIiIiIiIiIhIsTKo0j5fqrQXERERERERERERESkllLQXERERERERERERESkl1B5HRERERERERERERIqX2uPkS5X2IiIiIiIiIiIiIiKlhCrtRURERERERERERKRYaSHa/KnSXkRERERERERERESklFClvYiIiIiIiIiIiIgUL1Xa50uV9iIiIiIiIiIiIiIipYSS9iIiIiIiIiIiIiIipYTa44iIiIiIiIiIiIhIsdJCtPlTpb2IiIiIiIiIiIiISCmhSnsRERERERERkQfs6plM/jv3KldPZ5KRYsLJ3Uitx50I7lIOo60h33HffHiV88fSuXwqk/IP2dF5eqVc5/y6I4X9n93g+tksHFxtaNDWmcCO5SzHzx5O49+jLuYa91pMFRzLG+/PDYqIFJUq7fOlpL2IiIiIiIiIyANmY2vA/wlHPGvYU8bJhksnM9k++wpms5lHwtwKHFvnSScu/JLB5VOZuY6d2p/K1vcv06JXeR4KdODqmUy2z7qCbRkDDUJdrM79+5xK2DvearpQ1lUNGERESiMl7UVEREREREREHjDXSra4VnK2bLtUtCX+R0fOHUkvcFzLN8oDkHrjep5J+1+2p1C9WVnqt3G2zBP0Ujm+X5VI/bbOGAy3qvjLuhop46xEvYiUDuppnz8l7UVEREREREREitn1c5nEfZ+GX3PHe7pOdqYZ2zLW7XVs7Q0kX84mMSGbcl63Uj8rBp4nO9OMe1U7mrziSuW6Ze5pbhEReTCUtBcRERERERERKSar3rnApdgMsjPh4WedaPr3cnceVICHAh34dsE1zoSk4d2gDNfPZfHDvxMBSLmak7R3LG+kVZ/yeNa0JzvTzNEtyfx7ZAIvRnnhWcP+ftyWiIjcR0rai4iIiIiIiIgUk2eGViAz1czl3zLYGXOdH9YmWi0aW1QPP+PEjfNZbBx/CVOWGXtHGxq2c+a75Te42RmnvI8d5X3sLGMq1y3DjfNZHFyXyFMDK9zrLYmI3B2z+uPkR0l7EREREREREZFi4uKZk4pxr2qHyQT/nX2VRs+7YGM03GFk3gwGA83/z41mr7qSci2bsuWMnDmUBkC5SvmnfSrWsufc0YL76YuISMn4w6w+cubMGfz9/Tl69Gi+56xevZrg4OBijOqvJywsjAkTJpR0GCIiIiIiIiJ/eGYTmLLN96XY1MZowLmCLUY7A8e/TsHL356yrsZ8z790MgPH8vkfFxF50Azmkvn5I/jDJO0Lo23btmzevLnE5n/zzTdp3bo1DRo0oEWLFgwdOpQLFy4U6Rp79uzB398/18/FixcfUNRFM3PmTPr37//A5ynsw4GbD3N+//PDDz888BhLm8I82Pq948eP849//IOQkBD8/f2JiYnJdc7HH39Mu3btCAoKIigoiM6dO/Pf//630HP4+/uzdevWQp9/v4wePZqnnnqKhg0b8sgjj9CnTx9OnDhR7HGIiIiIiIgA/LI9mV93pHDldCbXz2fx644U9iy5To0Wjhhtc6rsY3el8HHfc1bjrp/L5FJsBilXs8lON3MpNuN/PfFzMk+pN7L5cVMSV8/knPdN9FVO7EylRU83yzUOrkvk5J5Urp/L5PKpDHbMv8rZw+k0aOtcbPcvIiKF96dqj+Pg4ICDg0O+xzMyMrC3f3ALrDzyyCO8+eabeHp6cuHCBSZPnkz//v355JNPinytL774AmfnW//jWaFC6egx5+bmVtIh5CkmJoaaNWtatktrnKVNamoqPj4+PPfcc0REROR5TqVKlRgyZAi+vr6YzWbWrl1Lv379WLNmDbVq1SrmiAuvXr16tGvXjsqVK3P9+nVmzpxJjx49+OqrrzAaVU0iIiIiIiLFy2A0cGD1Da6dzcIMuHgaqR/qTKP2LpZzMlLMXDubZTXuP7OuEv/jrTY2KwbmFAe++mFlynnlpHV+/k8yO2OugRkq+dvTYbwnXrXLWMaYssx8u/AayVeysS1joIKvHe3HeuLdMP8ciojIA/cHqXovCQazuXR1/DeZTCxYsIAVK1Zw7tw5PDw86Ny5M+3atePJJ59k5syZLFmyhEOHDuHr68vYsWMJDAwEctrjTJw4kX379gE5VeFbt27l1VdfZe7cucTHx3Ps2DHCwsIsycZ///vf2Nra8sorr9C/f38Mhtw95JKSknj00UeZOXMmrVq1suzfsmUL77zzDjt37qRs2bK5xn311Vf069ePw4cPY2dnZ4kvMjKSyZMnc+7cOZo2bcr48eOpXLkykFNp361bN7777jvKlSv8QjQZGRlMmzaNDRs2kJiYSK1atRgyZAjNmjWzem2mTZvGxIkTOX/+PEFBQURERFCxYkUAsrKyiIyMZO3atRiNRl566SUuXbpEYmIic+bMAXIq4OvUqcPIkSMBCAkJoVOnTpw6dYovvvgCV1dX+vTpQ+fOnS2xnTt3jsjISL799ltsbGxo3LgxI0eOxMfHJ897GTZsGGvWrMn1WuZ1/pkzZ3jyySdZu3YtdevWLfTrddOePXuIiori119/xdbWlpo1azJ16lS8vb0LHHfzsxUWFsasWbO4fv06zz//PP/85z9ZuHAhMTExmEwmunXrRp8+fSzjFi1axOrVqzl9+jSurq488cQTDB06FCcnJwCGDx/Ojz/+yKpVq7C3tycjI4NOnTpRu3ZtJk+eXGBM/v7+VttNmzZlyZIlhX4tQkJC6NatG6+99todz23atClDhw7l5ZdfvuM1z549a9n29vZm27ZtxMXFERERwcGDB0lNTcXPz4/Bgwfz6KOPWs5NSEhg1KhR7N69Gw8PDwYOHMi0adMKHePvHTt2jOeff54tW7ZQtWrVQo972qbgexQRERG5V387crWkQxAREZE/uf51ir8Lwp00f2Vqicy7a/ngEpm3KEpde5ypU6cSHR1N3759+fzzz5kyZQoeHh6W49OmTaNHjx6sXbuWatWqMXjwYLKysvK9XlxcHJs3b2bWrFmsXbvWsn/NmjUYjUZWrlzJyJEjiYmJYeXKlXlew9nZmdatW7Nhwwar/evXr+epp57KM2F/7do11q9fT2BgIHZ2t1ZoT0tLY+7cuUyaNInly5dz48YNBg4cmGt8hw4daNGiBa+//jr79+/P9/5uGjduHAcOHGDatGmsW7eO5557jp49e/Lbb79Zzb1w4UImT57M0qVLOXfuHJMmTbIcj46OZv369URERPDxxx+TlJRUqLYmixYton79+qxdu5a///3vjBkzhtjYWAAyMzPp0aMHTk5OLFu2jOXLl+Po6EjPnj3JyMjI83ojR44kMDCQTp06sWPHDnbs2GF5qJGfPn360Lx5c1555RW++uqrO8YMOQ8p+vXrR5MmTVi3bh2ffvopnTt3zvPBTV7i4uL4+uuvmT9/PlOnTuWzzz7jjTfe4MKFCyxZsoQhQ4Ywffp0Dh48aBljMBgYOXIkGzZsIDIykt27dxMVFWU5PmrUKFJTU5kyZQqQ83m/ceMGo0ePvmM8Nz+/MTEx7Nixg5kzZxbqPooiOzubjRs3kpKSYnlYVpDPPvsMgIiICHbs2GHZTklJoVWrVsTExLBmzRpatmzJm2++SXx8vGVseHg4CQkJLFmyhJkzZ7JixQouX758V3GnpKSwevVqfHx8qFSp0l1dQ0REREREREREpDiUqvY4SUlJLF68mNGjR/PCCy8AULVqVYKDgzlz5gwA3bt3p3Xr1gC8/fbbhIaGcurUKWrUqJHnNTMzM5k8eTLu7u5W+ytXrsyIESMwGAz4+fnxyy+/EBMTQ6dOnfK8Tvv27Rk6dCipqamULVuWpKQktm/fzqxZs6zOi4qKYtmyZaSmphIQEMAHH3yQK57Ro0fTqFEjACIjI2nbti2HDh2iYcOGeHp6MnbsWOrXr09GRgYrV66kW7durFixgnr16uUZW3x8PKtXr+Y///kPXl5eAPTo0YNvvvmG1atXM2jQIMvcY8eOtVQZd+3a1VJBD7B06VLeeOMNnn76aSCnJ/jXX3+d55y3e/zxx+natSsAvXr1IiYmhj179uDn58fnn3+OyWRiwoQJlmR4REQETZo0Ye/evbRo0SLX9VxcXLCzs8PBwQFPT88C53Z0dGTYsGEEBQVhMBj48ssv6devH7Nnz+bJJ58scGxSUhKJiYk88cQTltckv89RXsxmMxMnTsTZ2ZmaNWvSrFkzTp48SXR0NDY2Nvj5+REdHc2ePXss7/ftFeI+Pj4MGDCAd999lzFjxgDg5OREVFQUYWFhODk5sXjxYj766COrVkn5ufkZd3Nzu+PrVlQ///wzXbp0IT09HUdHR2bPnm3VjuhOMZUrV84qpjp16lCnTh3L9oABA9i6dSvbtm3j1Vdf5cSJE+zcuZPPPvuMBg0aADB+/HieeeaZIsW9bNkypkyZQkpKCtWrV2fRokUPtEWWiIiIiIiIiIgUjsFU0hGUXqUqaR8bG0tGRgaPPPJIvufc3gLkZhLwypUr+SZbq1SpkithD9CoUSOriuqAgAAWLVpEdnY20dHRzJs3z3Js48aNPP7449jZ2bFt2zZCQ0PZvHkzzs7OVu08ICdZ/tJLLxEfH8+sWbMIDw9n3rx5lrlsbW0tSUjISRKXK1eOEydO0LBhQ/z8/PDz87McDwoK4vTp08TExBAVFcW6det49913Lcejo6NJSkoiOzub5557ziqWjIwMq97uZcuWtWoLUrFiRUvlcmJiIpcuXaJhw4aW40ajkXr16mEyFfw36Pb3xGAw4OHhYbnusWPHiIuLIygoyGpMeno6cXFx7Nu3j169eln2jx07lvbt2+c5T2hoqKUSu3HjxsyfPx93d3def/11yzkNGzYkISGBBQsW3DFp7+bmRseOHenRowePPfYYzZs3p02bNpZ2QXfi7e1tlUz38PDAaDRiY2Njte/26vCdO3cyb948YmNjLe9benq65WEQQGBgIN27d2fOnDn06tWL4ODgQsXzIFWvXp21a9eSmJjI5s2bCQ8PZ+nSpYVK3OclOTmZWbNmsX37di5evEh2djZpaWmW9/fkyZPY2tpaPajy9fXF1dW1SPO0b9+exx57jIsXL7JgwQIGDBjA8uXLKVOmzJ0Hi4iIiIiIiIjIX9p3333HggUL+PHHH7l48SKzZ8/mqaeeKnDMnj17iIyM5Pjx41SuXJk+ffrQsWPHIs1bqpL2hUmk3d5q5mYivKCkcl6ta+6kS5cutGnTxrJdsWJFbG1tefbZZ1m/fj2hoaFs2LCBtm3bYmtr/RK6u7vj7u5O9erVqVGjBq1ateKHH34oVCuR/DRo0IDvv/8eyOkRfrNqG8DLy4tt27ZhNBpZtWpVrgU2HR0dLX/+fawGg4H7saRBQddNSUmhXr16lnYvt3N3d8fOzs6qbVFBC+5++OGHllZIBS043KhRI3bu3Fmo2CMiIggLC+Obb75h06ZNTJ8+nUWLFhEQEHDHsXndd177bn4+z5w5Q+/evXnllVcYOHAgrq6u7N+/n5EjR5KZmWn5rJpMJr7//nuMRiNxcXGFuo8Hzd7eHl9fXwDq16/P4cOHWbx4MePGjbur602aNImdO3cSHh5O1apVcXBw4O233yYzM/N+ho2LiwsuLi5Uq1aNRo0a0bRpU7Zs2cLf/va3+zqPiIiIiIiIiIgUUalaaTVvKSkp+Pv78+KLL/LWW2/d8fzTp0/Tu3dvunTpwpQpU9i1axejRo3C09OTli1bFnreUpW0r1atGg4ODuzevZuHHnrogc516NAhq+2DBw/i6+uL0WjEzc3NqkL9pnbt2tG9e3eOHz/O7t27GTBgQIFz3EzW3t67PSsrix9//NFS0R4bG8uNGzcKbMty7Ngxy7cKnJ2dc7VKqVu3LtnZ2Vy5cuWuq7JdXFzw8PDg8OHDNGnSBMjpX37kyBGrNiZFVa9ePTZt2kSFChXybfFyMxl8Ozs7u1wPY+60OOxNR48eLVJ7mIcffpiHH36Y3r1707lzZzZs2FCopH1R/fTTT5jNZoYNG2apxt+0aVOu8+bPn09sbCxLliyhZ8+erFq1ihdffPGO17/5QCs7O/v+Bp4Hk8mU75oEv2dnZ5crpgMHDvDCCy9YWjElJydbLVhbvXp1srKyOHLkCPXr1wfg1KlTXL9+/Z7iNpvNhY5bRERERERERET+2lq1akWrVq0Kff4nn3yCj48Pw4YNA3K6rOzfv5+YmJg/btK+TJky9OrVi6ioKOzs7AgKCuLKlSscP36c5s2b39e54uPjiYiIoHPnzhw5coSlS5cSHh5e4JgmTZrg4eHBkCFD8PHxsap4P3jwIIcPH6Zx48aUK1eOuLg4/vWvf1G1alWrKns7Ozvee+89Ro0ahdFo5L333iMgIMCSxI+JicHHx4datWqRnp7OypUr2b17NwsXLsw3rurVq9OuXTveeecdhg0bRt26dbl69Sq7du3C39/fsgbAnbz66qvMmzePqlWr4ufnx9KlS7l+/XqhF2bNS7t27ViwYAF9+vShf//+eHl5ER8fz5YtW+jZs2e+i4J6e3tz8OBBzpw5g6OjI25ublZtZ25as2YNdnZ21K1bF4AtW7awatUqxo8ff8fYTp8+zYoVKwgJCaFixYqcPHmS3377jeeff/6u77cgvr6+ZGZmsmTJEkJCQti/fz+ffPKJ1TlHjhxhxowZzJgxg8aNGzNs2DAmTJhA06ZN7/ggq0KFCjg4OPDNN99QqVIlypQpg4uLS4FjMjIyOHHihOXPFy5c4OjRozg6OloepkydOpXHH3+cypUrk5yczIYNG9i7dy8LFiwo1H17e3uza9cugoKCsLe3x9XVFV9fX7Zs2UJISAgGg4Hp06dbPaSpUaMGjz76KKNHj2bMmDHY2toSGRmJg4NDoT6Pp0+f5vPPP+exxx7D3d2d8+fP8+GHH+Lg4FCkf2hFREREREQetLTEbL758Bq/fZeKwQb8mjvSsqcbdmVz/w58U8rVbHbGXOP0D2lkpppx87al8cvlqPHorW/bXzubyc6Ya5w/mkF2lpkK1exo9ndXvBvmfHM97UY2W96/wuXfMkhLNFHW1Uj1ZmV5JMwVe8f85xYRuV8MJVRpn5GRkauo097e/r6sg/jDDz/kymO3aNGCiRMnFuk6pSppD9C3b1+MRiMzZswgISEBT09PunTpct/n6dChA2lpabz88ssYjUa6detG586dCxxjMBgIDQ1l/vz59OvXz+qYg4MDX375JTNnziQlJcXylYe+fftaveEODg706tWLwYMHc+HCBYKDg5kwYYLleGZmJpMmTeLChQuULVuW2rVrs2jRogL7/ENOm5e5c+cSGRlJQkICbm5uBAQEFDphDzmLyF66dInw8HCMRiOdOnWiRYsWuVruFEXZsmVZunQpU6ZM4a233iI5ORkvLy+aN29e4OKq3bt3Z9iwYYSGhpKWlsZXX32Fj49PnufOmTOH+Ph4jEYjfn5+TJs2LVd///xii42NZc2aNVy7do2KFSvStWvXB/J5g5zFV4cPH050dDTvv/8+wcHBDBo0yPKwKD09naFDh9KxY0dCQkIA6Ny5M9u3b2fo0KEsW7aswPfC1taWUaNGMXv2bGbMmEFwcDBLliwpMKaEhAQ6dOhg2V64cCELFy6kadOmlrGXL18mPDychIQEXFxc8Pf3Z8GCBTz22GOFuu/w8HAiIyNZuXKlpZ3TsGHDGDFiBF26dKF8+fL06tWL5ORkq3GTJk1i5MiRdO3aFU9PTwYNGsSvv/5aqDZa9vb27Nu3j48++ogbN25QoUIFgoODWb58eYEtmERERERERB6EtSMTqBPiRJ0nnXId2/r+FZKvZtN+rCembNg24wrb51zl6cH5/+6ydfplMpLNtB3pgUM5I8e/TubLqMu8NNUWT7+cHMTG8ZdwrWxL+/Ge2NobOLQuiY3jL/HqvMo4ljeCjYHqzcrSrKsrZV1tuH4ui6/nXeW/SaYC5xYR+aObN28es2bNstr31ltv8Y9//OOer33p0iU8PDys9nl4eJCUlERaWlqBLb9vZzDfj6bmfzBhYWHUqVOHkSNHFuu8q1evZuLEiezbt69Y571bJpOJNm3a0KZNmzu2AhJ50M6fP0+rVq2IiYm579+8KcjTNi8X21wiIiLy1/S3I1dLOgQRecDyS9pfOZ3JJ2+d56UpXlSslZNsj/s+lQ3jLvF/C6rgVCHvwq0PO5+h1Zvl8X/i1vUWvHqW5t1cefgZZ1JvZLMoLJ4OEytSpV5O4VNGion5r5yl3VhPHgrIO2l0aH0iB9Yk8n8Lq9yP2xaRUqR/na0lHUIuj708tUTm/c+yf9xVpb2/v/8dF6J99tln6dixI71797bs++9//8sbb7zBwYMHC520L3WV9lJyzp49y7fffkuTJk3IyMhg2bJlnD17lnbt2pV0aPIXtGvXLlJSUqhduzYXL14kKioKb2/vu163QUREREREpLS58HM6ZZwMloQ9gE8jBwwGuPBLOn7NHfMcV6mOPb/uSME32IEyTjb8uiOV7Awz3g1yEvQOLja4edvy83+S8axhh9HOwE+bkyjraoNnzbyTUsmXs4ndnUqV+nf+drOIyH1RQrXk96sVTl48PDy4dOmS1b5Lly7h7Oxc6IQ9KGkvt7GxsWH16tVMmjQJs9lsac1T0CK5pd3t6wn8XnR0dL4J4NDQUOLj4/M8NnbsWNq3b39f4iuKDz74gHnz5uV5rHHjxsyfPz/X/ru9/8Jat24d7777bp7HqlSpwsaNG+/62llZWUybNo3Tp0/j5OREYGAgU6ZMwc7O7oHOKyIiIiIicq/2r7zB/s9uWLazM8xc+Dmdrz+89c2aV2ZVIuVqTi/529kYDTi42JByzUR+nh3qwZdRl1n4ajw2RrAtY+C54R64VrYDctr7th/nyaaJl4juchaDAcq62vC3MZ44OFv3q/9yymV+25NKVoaZak0ceOIt9/vxEoiI/CUFBATw9ddfW+3buXMnAQEBRbrOX7I9jvx1nDp1Kt9jXl5e+T7hOnv2LFlZWXkeq1ChQoH9+B+Ua9eucf369TyPOTg44OXllWv/3d5/YSUlJXH58uU8j9na2uLt7X1P1y8N86o9joiIiDxoao8j8ueTlphNetKtpPuWqVeo8WhZ/JqXtexzqWjLgdWJ/Lwtmb/PrWw1flG3szR5xZX6bfL+3fObD69y4ZcMHglzxaGcDSf3pHJwXSIvTKxIhWr2mM1mNk28hCkbGr9cDlt7A0e2JPHb3jRemuKFk/utBwUpV7NJTzZx7WwWu5dco0r9MrR6U4l7kT+b0tgep8WLU0pk3h2rhhT63OTkZOLi4oCcNVKHDx9Os2bNcHV1pUqVKkydOpULFy4wefJkAE6fPk27du34+9//zosvvsju3buZMGEC8+bNo2XLloWeV5X28qfm6+t7V+MeVLL5Xri5ueHm5lakMXd7/4Xl7OxcIg8wSmpeERERERGRwnBwMeLgcisxblvGQFlXo6US/ibH8jakXs+22mfKNpOWaMLRzboi/qbr57I4vDGJLjMr4V4153oe1e0591M6hz9PonVfd84eSufUvjR6LPP+f/buO77mu+/j+PtkCYLIRFTsmBEjRmlp0BY16mqpolfNolpKrWqtUpRWiw610qIoRVGqVpXae4/aGSRmJELWuf9w51w9Mmnk/MTreT/yeOT85ueXpNf99T7f8/nKKc+969Qv5aaQ/eE6sSFG1V7J/48a7JWnoL0KFnWUcz47LR0SoRptClgF+wDwpDp8+LDeeOMNy+uxY8dKkl5++WWNGzdOkZGRCg8Pt+x/6qmnNG3aNI0dO1Y//PCDChUqpNGjRz9QYC8R2gMAAAAAANiEt18u3Y0xK+LvOHn9f6/5kIN3ZTZL3mVT7y2fcPf/Z/CbrLeb7EySOfmYe9+Y7j/GlH4L6eRmDInxNGUAkA0eg/+pqVWrlk6cOJHm/nHjxqV6zrJly/7VfVN/2xYAAAAAAAAPJT42SbevJ1q+nn/fXcWqOVttS0o0y+0pRxWr5qw/vrqmyyfvKvzYXW3+7rrKPJNHed3vzXSPvpqgH3uF6/LJu5Ik16KOKlDYQZu+vq7LJ+/qZniC9i+L0sUDd1Si1r32O97lnJQrr53Wf3lNV87G6UZovLbOvqGoiAT51rjXJvX87lgdWxetq+fjFHU5Qed2x2rT19dVqLyT8nszxxMAbIn/FQYAAAAAAMhC+5bd0u4FUeke0+G7wsrv7aBG/dy0+bsbWv5RpEx2Usk6efRMN1fLcUkJ0o3QBMvseXsHk5oN89D2H25q1egrir9jVoHCDmrYx02+Ne6F9rnz2+ul4Z7aMfemfvkoUkkJZrkVc1STDzzkUeLejH4HJ5OO/h6jv2bdUGK85OJhr5K1c6vaf/KnqBUAkL1YiBYA0sFCtAAA4FFjIVoAAPCoGXEh2mdets1CtJuXZn4hWluhPQ4AAAAAAAAAAAZBexwAAAAAAAAAQPaiAUyamGkPAAAAAAAAAIBBENoDAAAAAAAAAGAQtMcBAAAAAAAAAGQrE91x0sRMewAAAAAAAAAADIKZ9gAAAAAAAACA7MVM+zQx0x4AAAAAAAAAAINgpj0AAAAAAAAAIFvR0z5tzLQHAAAAAAAAAMAgCO0BAAAAAAAAADAI2uMAAAAAAAAAALJXEv1x0sJMewAAAAAAAAAADIKZ9gAAAAAAAACA7MVE+zQx0x4AAAAAAAAAAINgpj0AAAAAAAAAIFuZmGmfJmbaAwAAAAAAAABgEIT2AAAAAAAAAAAYBO1xAAAAAAAAAADZy0x/nLQw0x4AAAAAAAAAAINgpj0AAAAAAAAAIFuxEG3amGkPAAAAAAAAAIBBMNMeAAAAAGxo5qmnbV0CAADI4fqUs3UFqWCmfZqYaQ8AAAAAAAAAgEEQ2gMAAAAAAAAAYBC0xwEAAAAAAAAAZCuTmf44aWGmPQAAAAAAAAAABsFMewAAAAAAAABA9kqydQHGxUx7AAAAAAAAAAAMgpn2AAAAAAAAAIBsRU/7tDHTHgAAAAAAAAAAgyC0BwAAAAAAAADAIGiPAwAAAAAAAADIXnTHSRMz7QEAAAAAAAAAMAhm2gMAAAAAAAAAshcL0aaJmfYAAAAAAAAAABgEM+0BAAAAAAAAANnKxET7NDHTHgAAAAAAAAAAgyC0BwAAAAAAAADAIGiPAwAAAAAAAADIXixEmyZm2gMAAAAAAAAAYBDMtAcAAAAAAAAAZCtTkq0rMC5m2gMAAAAAAAAAYBDMtAcAAAAAAAAAZC962qeJmfYAAAAAAAAAABgEM+0BAAAAAAAesRruxdWxZB1Vci0qF4dcOh9zVcGn/9Kq0IOZOr+AY24trt9L3rkLqO7qT3Qr4Y5ln6OdvXqUbaBmPlXkkctFkXdvadrJP7Ts4j5J0sw6nRToUSLFNf+8fFK9d87NmgcEAGQZQnsAAAAAAIBHLKBgMZ2MuqxZf2/R1bvRqu/tpzFVWys6/o7+jDiZ4fkjA1rpZNRleecukGLfxOpt5J7LRcMPLNPFmGvycM4nO5ks+9/bvUCOdvaW166OubWofi/9HnY4ax4OAB4G3XHSRGgPAAAAAADwiM34+0+r1/POblcdz9JqWLhChqF9G99A5XNw1rSTf+gZ77JW++p6llZ19+Jquv4LRcXHSpLCYm9YHZO8PVmTIpV1JzFea8OPPOTTAAAeJUJ7AAAAAAAAG3BxzKWz0ZHpHlPSxVNvlW2g9lu+U9E8BVPsb1ConI7eCFOnUvX0UtEqik2M06bLJzT1+HrdTUpI9ZovF6um38IOKzYxPkueAwAehomFaNPEQrQAAAAAAADZ7PnCFVWpgI+WXdib5jGOdvYaX+1VfX50jS7F3kz1mKJ5CqqqWzGVzu+l93bP16dHVqtR4QoaWvmlVI+v5OqjMvm9teTCnix5DgBA1iO0BwAAAAAAyEaB7iX0ccDLGnnwF51OZ6Z9n3KNdSY6Ur+ms1ityWSSWdKQvYt1+EaotkSc9Q3QlQABAABJREFU0sQjv6nFUwHKZZeywcLLxarpZNQlHb4RmhWPAgAPz2y2zddjgPY4AAAAAAAA2aS6e3FNqfm6Pj2yWitCDqR7bE2PEiqT31uNC1eQdC+gl6RNLwzSjFN/6uuTG3Xlzi1F3IlSdMJdy3lnoiNlZ7KTd+78uhBzzbI9t72jXixSWV+f2PAIngwAkFUem5n2ISEh8vPz07Fjx9I8ZsmSJapRo0Y2VvXk6dixo8aMGWPrMgAAAAAAeOzUcC+ur2q216Rja/VzJtrT9Nu9QK9u+lpt/vxGbf78RiMO/CJJenPrLC04t1OStO/aBXk651NueyfLeb55PZRoTtLl2Cir6zUuXFFOdvZamcGbBQAA23psQvvMaNq0qdasWWOz+/fo0UMNGjRQ5cqVVa9ePQ0YMECXL19+oGvs2LFDfn5+Kb4iI9NfmCa7TJkyRX369Hnk98nsmwPJb+bc/7V///5HXqPRZOaNrfudOnVK77zzjoKCguTn56fg4OB0j//uu+/k5+f3QG/c+Pn5ad26dZk+PivcuHFDH3/8sV544QX5+/urQYMGGj16tG7dupWtdQAAAABAskD3EvqqZgf9eHaH1oUflXsuF7nnclF+x9yWY4IKldcvz71jeR1y+7r+vhVh+Qq9fV2SdPZWpK7FxUiSVoUe0s24WH0c0EolXTxV3c1X/So8r2UX9qZYiLZ1seracOm4bsbHZsMTA0AGkmz09RjIUe1xnJ2d5ezsnOb+uLg4OTk5pbn/36pdu7Z69OghT09PXb58WZ9++qn69OmjBQsWPPC1fvvtN7m4uFheu7u7Z2WpD83V1dXWJaQqODhYpUuXtrw2ap1GExsbq6JFi+rFF1/U2LFj0z324MGDWrBggfz8/LKpuocXERGhiIgIDRo0SKVLl1ZoaKhGjBihiIgITZ482dblAQAAAHgCtXgqQLkdnNS1zLPqWuZZy/ZdV86qy7bZkiQXh1wq4eL5QNeNTYxT9+3fa0ilZpr/7Fu6GRerNWGHNfX4eqvjiud1VzV3X3Xf9v2/fxgAwCNluJn2SUlJmj59uho3bqxKlSqpQYMG+uabbyz7L168qI4dO6pKlSpq0aKF9u3bZ9l3f3ucKVOmqGXLllq0aJGCgoLk7+8v6d4s7lGjRmnUqFGqXr26atWqpS+++ELmNBYiiI6Olr+/vzZt2mS1fe3atapatapiY++9Q/3mm28qICBAPj4+qlatmrp166b9+/crPj7eqr5169bp+eefV+XKldWlSxeFh4enuKe7u7s8PT0tX3Z26f+q4uLiNH78eD3zzDMKCAjQq6++qh07dqT42WzevFlNmjRR1apV1aVLF0VERFiOSUhI0OjRo1WjRg3VqlVLEyZM0KBBg9SrVy/LMffPgA8KCtK3336rIUOGqGrVqmrQoIEWLlxoVVt4eLj69OmjGjVqqGbNmurZs6dCQkLSfJbBgwdr586d+uGHHywz59M7XroX0v/z5+Xo6Jju8cl27NihV155RQEBAapRo4Zee+01hYZmvBhP8t/W4sWL1aBBA1WtWlUjRoxQYmKipk+frrp166pOnTpWf7uSNHv2bDVv3lwBAQGqX7++RowYoZiYGMv+IUOGqHnz5oqLi5N07/faqlUrDRw4MMOaGjZsKElq1aqV/Pz81LFjxwzP8ff316BBg9SsWbN039CKiYnRgAEDNHr0aBUoUCDD6yYLCgqSJL399tvy8/OzvL5w4YJ69uypp59+WlWrVtV//vMfbd261erciIgIde/eXf7+/goKCtKKFSsUFBSU4acBJKls2bKaMmWKgoKCVKxYMdWpU0d9+/bVhg0blJCQkOH5AAAAAJDVPtq/VP4rhqX4Sg7sJWl5yH75rxiW5jV2Xz0n/xXDdCvhjtX2c9FX9Nb271Vr1Wg9v+4zfXZ0TYpZ9udirsp/xTBtv3I6ax8MAB6SyWy2ydfjwHCh/Weffabp06erV69eWrVqlSZOnCgPDw/L/kmTJqlLly5atmyZihcvrv79+6cbwl24cEFr1qzR1KlTtWzZMsv2pUuXyt7eXosWLdLQoUMVHBysRYsWpXoNFxcXNWjQQCtXrrTavmLFCjVq1Ei5c+dOcc6NGze0YsUKVa1a1SpAvnPnjr755huNHz9e8+fPV1RUlN57770U57dq1Ur16tVTp06dtGdPxn3uRo0apX379mnSpElavny5XnzxRXXt2lXnzp2zuvesWbP06aefau7cuQoPD9f48eMt+6dPn64VK1Zo7Nix+vHHHxUdHZ2ptiazZ89WpUqVtGzZMr3++usaMWKEzpw5I0mKj49Xly5dlDdvXs2bN0/z589Xnjx51LVrV0swfb+hQ4eqatWqatOmjbZs2aItW7aocOHC6dbQs2dP1alTR+3atdP69evTPTZZQkKC3n77bQUGBmr58uVauHCh2rZta1nYJyMXLlzQn3/+qRkzZuizzz7T4sWL1b17d12+fFlz5szR+++/ry+++EIHDvyvV6DJZNLQoUO1cuVKjRs3Ttu3b9eECRMs+z/88EPFxsZq4sSJku79vUdFRWnYsLQHbcmS/36Dg4O1ZcsWTZkyJVPPkRmjRo1S/fr19fTTTz/QeYsXL5YkjR07Vlu2bLG8vn37turXr6/g4GAtXbpUzzzzjHr06KGwsDDLuYMGDVJERITmzJmjKVOm6KefftLVq1cf+hmio6Pl4uIiB4cc9QEjAAAAAAAA5DCGSq+io6P1ww8/aNiwYXr55ZclScWKFVONGjUsM607d+6sBg0aSJLeffddNWvWTOfPn1epUqVSvWZ8fLw+/fRTubm5WW0vXLiwPvjgA5lMJpUsWVInT55UcHCw2rRpk+p1WrRooQEDBig2Nla5c+dWdHS0/vjjD02dOtXquAkTJmjevHmKjY1VQECAvv322xT1DBs2TFWqVJEkjRs3Tk2bNtXBgwfl7+8vT09PjRw5UpUqVVJcXJwWLVqkN954Qz/99JMqVqyYam1hYWFasmSJNm7cKG9vb0lSly5dtHnzZi1ZskT9+vWz3HvkyJEqVqyYJKl9+/b6+uuvLdeZO3euunfvrsaNG0uShg0bpj///DPVe/7Ts88+q/bt20uSunXrpuDgYO3YsUMlS5bUqlWrlJSUpDFjxljC8LFjxyowMFA7d+5UvXr1UlwvX758cnR0lLOzszw90/9YYJ48eTR48GBVq1ZNJpNJv//+u95++2199dVXlpnnaYmOjtatW7f03HPPWX4maf0dpcZsNuuTTz6Ri4uLSpcurVq1auns2bOaPn267OzsVLJkSU2fPl07duyw/L7ffPNNy/lFixZV3759NXz4cI0YMUKSlDdvXk2YMEEdO3ZU3rx59cMPP+j777+3apWUluS/8eRPHWSVX3/9VUePHrUE7g8iuab8+fNb1VSuXDmVK1fO8rpv375at26dNmzYoA4dOuj06dPaunWrFi9erMqVK0uSRo8ereeff/6hnuHatWv6+uuv1bZt24c6HwAAAAAAAFnsMZn1bguGCu3PnDmjuLg41a5dO81j/tlPOzkEvHbtWppha5EiRVIE9pJUpUoVqxnVAQEBmj17tqW9ybRp0yz7fv31Vz377LNydHTUhg0b1KxZM61Zs0YuLi4pZh536dJFr7zyisLCwjR16lQNGjRI06ZNs9zLwcHBEkJK90Li/Pnz6/Tp0/L391fJkiVVsmRJy/5q1arp4sWLCg4O1oQJE7R8+XINHz7csn/69OmKjo5WYmKiXnzxRata4uLirHq7586d2xJOS5KXl5dl5vKtW7d05coVSwshSbK3t1fFihWVlJT+Cg3//J2YTCZ5eHhYrnv8+HFduHBB1apVszrn7t27unDhgnbv3q1u3bpZto8cOVItWrRI9T7NmjWzzMSuXr26ZsyYITc3N3Xq1MlyjL+/vyIiIjRz5swMQ3tXV1e1bt1aXbp0sbSzadKkiby8vNI9L5mPj49VmO7h4SF7e3urVkb//FlI0tatWzVt2jSdOXPG8nu7e/eu5c0gSapatao6d+6sr7/+Wt26dbNq+ZTdwsPDNWbMGM2aNUu5cuXKsuvGxMRo6tSp+uOPPxQZGanExETduXPH8vs9e/asHBwcrN6o8vX1faDWPMmio6P11ltvqVSpUurdu3eWPQMAAAAAAADwKBgqtM9MKPjPVjPJQXh6oXJqrWsy8tprr6lJkyaW115eXnJwcNALL7ygFStWqFmzZlq5cqWaNm2aotWGm5ub3NzcVKJECZUqVUr169fX/v37VbVq1QeuI1nlypW1d+9eSfd6hCfP2pYkb29vbdiwQfb29vr5559lb29vdW6ePHks399fq8lkSrOP/4NI77q3b99WxYoVLe1e/snNzU2Ojo5WbYvSW3D3u+++s7RCSm/B4SpVqqToj56WsWPHqmPHjtq8ebNWr16tL774QrNnz1ZAQECG56b23KltS/77DAkJ0VtvvaV27drpvffeU4ECBbRnzx4NHTpU8fHxlr/VpKQk7d27V/b29rpw4UKmnuNROXLkiK5evarWrVtbtiUmJmrXrl2aN2+eDh06lOJvLjPGjx+vrVu3atCgQSpWrJicnZ317rvvWtZ/yCrR0dHq2rWr8ubNq6+++irTax0AAAAAAAAAtmKo0L548eJydnbW9u3b9dRTTz3Sex08eNDq9YEDB+Tr6yt7e3u5urpazVBP1rx5c3Xu3FmnTp3S9u3b1bdv33TvkRzW/rN3e0JCgg4fPmyZ0X7mzBlFRUWl25bl+PHjlk8VuLi4pGiVUr58eSUmJuratWsPPSs7X7588vDw0KFDhxQYGCjpXjh79OhRqzYmD6pixYpavXq13N3d02zx4uvrm2Kbo6NjijdjfHx8MnXPY8eOPVB7mAoVKqhChQp666231LZtW61cuTJTof2DOnLkiMxmswYPHmyZjb969eoUx82YMUNnzpzRnDlz1LVrV/3888/6z3/+k+H1kwPpxMTELKu5du3aWrFihdW2IUOGqGTJkurWrVumAntHR8cUNe3bt08vv/yypRVTTEyM1QLAJUqUUEJCgo4ePapKlSpJks6fP6+bN29muvbo6Gh16dJFTk5O+uabb7L0kwIAAAAAAAD4l2iPkyZDhfa5cuVSt27dNGHCBDk6OqpatWq6du2aTp06pTp16mTpvcLCwjR27Fi1bdtWR48e1dy5czVo0KB0zwkMDJSHh4fef/99FS1a1GrG+4EDB3To0CFVr15d+fPn14ULF/Tll1+qWLFiVrPsHR0d9fHHH+vDDz+Uvb29Pv74YwUEBFhC/ODgYBUtWlRlypTR3bt3tWjRIm3fvl2zZs1Ks64SJUqoefPmGjhwoAYPHqzy5cvr+vXr2rZtm/z8/CxrAGSkQ4cOmjZtmooVK6aSJUtq7ty5unnzZqYXZk1N8+bNNXPmTPXs2VN9+vSRt7e3wsLCtHbtWnXt2lWFChVK9TwfHx8dOHBAISEhypMnj1xdXa3aziRbunSpHB0dVb58eUnS2rVr9fPPP2v06NEZ1nbx4kX99NNPCgoKkpeXl86ePatz586pZcuWD/286fH19VV8fLzmzJmjoKAg7dmzRwsWLLA65ujRo5o8ebImT56s6tWra/DgwRozZoxq1qyZ4RtZ7u7ucnZ21ubNm1WoUCHlypVL+fLlS/ecuLg4nT592vL95cuXdezYMeXJk0e+vr5ycXFR2bJlrc5J/n3cvz0tPj4+2rZtm6pVqyYnJycVKFBAvr6+Wrt2rYKCgmQymfTFF19YvUlTqlQpPf300xo2bJhGjBghBwcHjRs3Ts7Ozpn6e4yOjlbnzp0VGxurCRMmKDo6WtHR0ZLufcLjYT4dAAAAAACPQn7H3BpSqanqe/spSWatCz+q8YdXKzYxLs1zZtbppECPElbbfjq3S6MP/W/SVcUCRdS3/PMq71pYMkuHboRq0rE1Ohl1WZJUJLerfmvUL8W1O2z+TgdvhGTR0wEAHoahQntJ6tWrl+zt7TV58mRFRETI09NTr732Wpbfp1WrVrpz545effVV2dvb64033shwkUqTyaRmzZppxowZevvtt632OTs76/fff9eUKVN0+/ZteXp66plnnlGvXr3k5ORkdVy3bt3Uv39/Xb58WTVq1NCYMWMs++Pj4zV+/HhdvnxZuXPnVtmyZTV79ux0+/xL99q8fPPNNxo3bpwiIiLk6uqqgICATAf20r1FZK9cuaJBgwbJ3t5ebdq0Ub169f5VwJk7d27NnTtXEydOVO/evRUTEyNvb2/VqVMn3cVVO3furMGDB6tZs2a6c+eO1q9fr6JFi6Z67Ndff62wsDDZ29urZMmSmjRpUor+/mnVdubMGS1dulQ3btyQl5eX2rdv/0j+3qR7i68OGTJE06dP1+eff64aNWqoX79+ljeL7t69qwEDBqh169YKCgqSJLVt21Z//PGHBgwYoHnz5qX7u3BwcNCHH36or776SpMnT1aNGjU0Z86cdGuKiIhQq1atLK9nzZqlWbNmqWbNmhmem1mDBg3SuHHjtGjRIks7p8GDB+uDDz7Qa6+9poIFC6pbt26KiYmxOm/8+PEaOnSo2rdvL09PT/Xr109///13pmbMHzlyRAcOHJAky2z+ZOn9LQEAAADAozCzTif9cnGflofsT7FvXLVX5JHLRW9t/0EOdnYaVeVlDfdvocH7Fqd7zcXnd+urExssr+8k/q/daG57J31T+w39cem4xhxaIXuTnXr5BenbWm/o+XWfKcH8v0lT3bYF6+9bEZbXN+Nu/4snBYAHkP4ymk80kzkrmpo/Zjp27Khy5cpp6NCh2XrfJUuW6JNPPtHu3buz9b4PKykpSU2aNFGTJk0ybAUEPGqXLl1S/fr1FRwcnOWfvElPY7tXs+1eAADgyXT5l/K2LgHAI5ZWaF/CxUO/PPeuXvvzWx29GSZJqutZWl/V6qDGaz9T5N1baV7vRNQlfXokZctVSapQoIgWPNtDjddO1OU7UZKkMvm89HOD3mq2/gtdvH3NMtP+1U1f60TUpax7WACGdLD5KFuXkMILVYfb5L5r9o20yX0fhOFm2sN2QkND9ddffykwMFBxcXGaN2+eQkND1bx5c1uXhifQtm3bdPv2bZUtW1aRkZGaMGGCfHx8HnrdBgAAAAAwmioFn1JUXKwlsJek7VfOKMlsVuWCRbXh0rE0z23q469mRf119U60/rh8Qt+d2mSZbX8u+oqux8WodbHqmn7qT9mbTHq5WHWdvhWhsNgbVteZXPN15bJz0LmYqwr+e4v+uHzikTwrANzP9BjNJZ83b55mzpypyMhIlStXTh999JGl3fn9lixZoiFDhlhtc3Jy0qFDhzJ9P0J7WNjZ2WnJkiUaP368zGazpTVPeovkGt0/1xO43/Tp09MMgJs1a6awsLBU940cOVItWrTIkvoexLfffqtp06aluq969eqaMWNGiu0P+/yZtXz5cg0fnvq7okWKFNGvv/760NdOSEjQpEmTdPHiReXNm1dVq1bVxIkT5ejo+EjvCwAAAAD/VtfSz6prmWcsr3PZO8q/YFF9ULmZZVurP6bKI1c+XYuzbhWaaE5SVHysPHKl3VJ2VehBhcfeVOSdKJXJX0jvlW+s4i4e6rf73rpptxPj1GXrbH0R2E7dy9aXJF2Iuaoe239Q4v+3xrmdGKcJR37T/msXlGROUqPCFfVFYDv13TWf4B4A/mHVqlUaO3asRo4cqSpVquj7779Xly5d9Ntvv8nd3T3Vc1xcXPTbb79ZXj/omqFPZHscPDnOnz+f5j5vb285Ozunui80NFQJCQmp7nN3d0+3H/+jcuPGDd28eTPVfc7OzvL29k6x/WGfP7Oio6N19erVVPc5ODjIx8fnX13fCPelPQ4AAHjUaI8D5Dz5HXOrgGNuy+tx1V7RuvCjWhd+1LItLPaGOpWqpxZPBajFxslW5//x/EB9fWKjfjq/K1P3q+leQjOe7qSm6ycp5PZ15bJz0KynO+tsdKTmn90he5Od/luqrkq4eKjd5mm6m5T6v3fHBLSWT56CenPrzId4agBGZsT2OC8GDLPJfX/b/2A/i1dffVWVK1fWsGH36k1KSlL9+vXVsWNHde/ePcXxWdEinZn2yNF8fX0f6rxHFTb/G66urnJ1dX2gcx72+TPLxcXFJm9g2Oq+AAAAAJAZUfGxioqPtby+kxivq3ejdfH2Navjrty9JTenvFbb7E12yu+YW1fuRmf6foduhEiSiuV1V8jt62rq468ieVzVYct0mXVvruagvYv114tD9Fyhcvot7HCq1zl4I0S1PR/fT9sDeMzYaC55XFyc4uLirLY5OTnJyckp1WOPHDmit956y7LNzs5OTz/9tPbt25fmPW7fvq3nnntOSUlJqlChgvr166cyZcpkuka7TB8JAAAAAACALHPg+kXld8qt8gUKW7bV9CghO5NJh66HZPo6fvnvnR95597Ctc72jkoymy2BvSSZ////7NJp0VAufyFdSWPxWwDIKaZNm6bq1atbfaXVkvr69etKTExM0QbH3d1dV65cSfWcEiVK6JNPPtHXX3+tCRMmyGw267XXXtOlS5lf9JuZ9gAAAAAAAFkot72T8jj8b8bmwL2LJEnu/+hTf/1ujM5GX9GWiFMaUaWlPj64Qg4mew2p1Ey/hR5W5P+H517O+TS9zpsaum+JDt8IVdE8BdXUx1+bI07qZlysyub31oCKTbT76jmdunVZkrTtymn1q/C8hlZ+ST+e3S47mdS5zDNKMCdp55WzkqQWRQMUn5SoY1HhkqRGhSqoVbFqGnHgl2z5GQGArWbav/XWW+rUqZPVttRm2T+sqlWrWq0zWbVqVTVt2lQLFixQ3759M3UNQnsAAAAAAIAs9Gapuurp91y6x7y47nOFxd7Q4L2L9UGlZppe500lmc1aF35U4w6vshznYLJXCRdPOds7SpLikxJV27OUOpSso9z2jroUG6V14Uf13alNlnPORV/ROzt/VA+/BppTr5vMZrOO37ykXtvnWLXd6V62vorkdlWCOUnnoq9o4J6ftPYfffcBICdKqxVOagoWLCh7e/sUaytevXpVHh4embqGo6OjypcvrwsXLmS6RkJ7AAAAAACALPTNyY365uTGTB0bFR+rwfsWp7k/LPaG/Ff8b7HGy3ei1HnrrAyvu/3KaW2/cjrN/ctD9mt5yP5M1QgAj4SNZto/CCcnJ1WsWFHbtm1To0aNJN1biHbbtm3q0KFDpq6RmJiokydPqn79+pm+L6E9AAAAAAAAAACp6NSpkwYNGqRKlSrJ399f33//vWJjY9W6dWtJ0sCBA+Xt7a3+/ftLkqZOnaqAgAD5+voqKipKM2fOVFhYmF599dVM35PQHgAAAAAAAACAVDRt2lTXrl3T5MmTFRkZqfLly2vGjBmW9jjh4eGys7OzHB8VFaWPPvpIkZGRKlCggCpWrKgFCxaodOnSmb6nyWx+DD6HAAA20tgu8++CAgAAPIzLv5S3dQkAACCHO9h8lK1LSOHFikNtct/fjoyxyX0fhF3GhwAAAAAAAAAAgOxAexwAAAAAAAAAQLYy0QAmTcy0BwAAAAAAAADAIAjtAQAAAAAAAAAwCNrjAAAAAAAAAACyF+1x0sRMewAAAAAAAAAADIKZ9gAAAAAAAACA7JXETPu0MNMeAAAAAAAAAACDYKY9AAAAAAAAACB70dM+Tcy0BwAAAAAAAADAIAjtAQAAAAAAAAAwCNrjAAAAAAAAAACyF+1x0sRMewAAAAAAAAAADIKZ9gAAAAAAAACA7MVM+zQx0x4AAAAAAAAAAINgpj0AAAAAAAAAIHslMdM+Lcy0BwAAAAAAAADAIAjtAQAAAAAAAAAwCNrjAAAAAAAAAACylznJ1hUYFqE9AAAAANhQ3h8L2LoEAACQ0zW3dQF4EIT2AAAAAAAAAIDsZWYh2rTQ0x4AAAAAAAAAAINgpj0AAAAAAAAAIHslMdM+Lcy0BwAAAAAAAADAIAjtAQAAAAAAAAAwCNrjAAAAAAAAAACyFwvRpomZ9gAAAAAAAAAAGAQz7QEAAAAAAAAA2YuZ9mlipj0AAAAAAAAAAAbBTHsAAAAAAAAAQPZipn2amGkPAAAAAAAAAIBBENoDAAAAAAAAAGAQtMcBAAAAAAAAAGSvpCRbV2BYzLQHAAAAAAAAAMAgmGkPAAAAAAAAAMheLESbJmbaAwAAAAAAAABgEMy0BwAAAAAAAABkL2bap4mZ9gAAAAAAAAAAGAShPQAAAAAAAAAABkF7HAAAAAAAAABA9kqiPU5amGkPAAAAAAAAAIBBMNMeAAAAAAAAAJCtzOYkW5dgWIT2AAAAAAAAj5iTo70GdmmkciW85evjrr/2ntHgz3/J8Lz8eZ3V780g1atWUklms/7YeUqTvt+o2LvxkqRihQtqYJdGKlHUXXlz59KV69H6fetxzfx5mxIT/xeItW1STS83qqJCHvl049YdbdxxUt8s2Ky4+MRH9swAgIdDaA8AAAAAAPCI2dmZdDcuQT+t2afnapbJ9HkjejeVu2tevfvJYjk42OvDt17Q4G6NNXzqKklSQmKSVm8+qhNnIxR9+45K+3ppSLfGsjOZ9O3CLZKk558up56vPaNPpq3RwZNhKla4oD7s+aLMZrMmz930SJ4XADJET/s0EdoDAAAAAAA8YnfuJmjCrPWSJP+yReSSxznDc3yLuKlOQAl1GjpXx89cliR9/v0GfTawtabM26Qr12MUFnFTYRE3LedcunJLa8oXVZVyPpZtlcsW0aGTofp96/H/PyZKa7ceV8VShbPyEQEAWYSFaAEAAAAAAAyoctkiioq+YwnsJWnXofNKMpvTDNyLeruqdpUS2ncsxLLt0Mkw+ZXwVoVShSRJRbwK6OmAEtq2/8yjfQAAwENhpj0AAAAAAIABuRfIo+tRt622JSaZFRV9R26uea22fzeyncoW91IuJwctW3dA0xf9Zdn3+9bjKpAvt74d8ZpMkhwc7LVk7X59/8vO7HgMAEidmfY4aSG0BwAAAAAAeMx9+OVK5cntqDK+Xur9+rN6/aVAzVuxS5JUtXxR/bdVLU2YtV5H/w5XUW9X9f3vc+r0coxmL91u48oBAPcjtAcAAAAAADCgqzdvq2D+PFbb7O1Myu/irGs3Yqy2R1y7JUk6F3pNdnYmDe7aWPNX7laS2azuberqt81HtWLjIUnS6YtX5OzsqMFdGyt42XYmuwKwjaQkW1dgWI9NT/uQkBD5+fnp2LFjaR6zZMkS1ahRIxurevJ07NhRY8aMsXUZAAAAAADkeIdOhim/i7P8SnhZtlWvWEx2JpOOnA5P8zw7k0kO9nYy2ZkkSc5Ojkq6L5lPSrr32iTTI6gcAPBvPDahfWY0bdpUa9assdn9e/TooQYNGqhy5cqqV6+eBgwYoMuXL2d84j/s2LFDfn5+Kb4iIyMfUdUPZsqUKerTp88jv09m3xxIfjPn/q/9+/c/8hqNJjNvbN3v1KlTeueddxQUFCQ/Pz8FBwene/x3330nPz+/B3rjxs/PT+vWrcv08Vll2LBhatSokfz9/VW7dm317NlTp0+fzvY6AAAAACBZcR83lfH1VH6X3HLJ46Qyvp4q4+tp2V+hVCEtmNhJngVdJEnnw65p2/6zGtLteVUoVUj+ZYuof6cgrdt2XFeu35tp/3zdcmpYu6x8i7ipiFcBNaxdVj1fq6d1208oMfHeLNYte0+rdaMqalTHT4U98yuwsq+6v/q0tuw9kyLMB4BsYzbb5usxkKPa4zg7O8vZ2TnN/XFxcXJycnpk969du7Z69OghT09PXb58WZ9++qn69OmjBQsWPPC1fvvtN7m4uFheu7u7Z2WpD83V1dXWJaQqODhYpUuXtrw2ap1GExsbq6JFi+rFF1/U2LFj0z324MGDWrBggfz8/LKpun+nYsWKat68uQoXLqybN29qypQp6tKli9avXy97e3tblwcAAADgCfT5oNYq7FnA8vqHcW9Ikuq0+0ySlMvJQb4+brK3/98cyxFTV6l/pyBNHvqqzGaz/th5Sp8Hb7DsT0w0q0PzmnqqcEGZTNKlK1Fa/Pt+LVi1x3JM8NLtMkt6q01debq56HpUrP7ae0bfLtzyiJ8YAPAwTGazsd5eSEpK0syZM/XTTz8pPDxcHh4eatu2rZo3b66GDRtqypQpmjNnjg4ePChfX1+NHDlSVatWlXSvPc4nn3yi3bt3S7o3K3zdunXq0KGDvvnmG4WFhen48ePq2LGjypQpI0n65Zdf5ODgoHbt2qlPnz4ymVJ+LCw6OlpPP/20pkyZovr161u2r127VgMHDtTWrVuVO3fuFOetX79eb7/9tg4dOiRHR0dLfePGjdOnn36q8PBw1axZU6NHj1bhwoUl3Ztp/8Ybb2jXrl3Knz9/pn9ucXFxmjRpklauXKlbt26pTJkyev/991WrVi2rn82kSZP0ySef6NKlS6pWrZrGjh0rL697H7NLSEjQuHHjtGzZMtnb2+uVV17RlStXdOvWLX399deS7s2AL1eunIYOHSpJCgoKUps2bXT+/Hn99ttvKlCggHr27Km2bdtaagsPD9e4ceP0119/yc7OTtWrV9fQoUNVtGjRVJ9l8ODBWrp0aYqfZWrHh4SEqGHDhlq2bJnKly+f6Z9Xsh07dmjChAn6+++/5eDgoNKlS+uzzz6Tj49Puucl/2117NhRU6dO1c2bN9WyZUt99NFHmjVrloKDg5WUlKQ33nhDPXv2tJw3e/ZsLVmyRBcvXlSBAgX03HPPacCAAcqbN68kaciQITp8+LB+/vlnOTk5KS4uTm3atFHZsmX16aefplvT/WF6zZo1NWfOnEz/LIKCgvTGG2/ozTffTLEvJiZGrVu31vDhw/XNN99Y/Q1kdM3Q0FDLax8fH23YsEEXLlzQ2LFjdeDAAcXGxqpkyZLq37+/nn76acuxERER+vDDD7V9+3Z5eHjovffe06RJk9KsMSPHjx9Xy5YttXbtWhUrVizT5zW2e/WB7wUAAPAgotvWtnUJAAAgh9s2v7+tS0jhxfydbHLf36Jm2+S+D8Jw7XE+++wzTZ8+Xb169dKqVas0ceJEeXh4WPZPmjRJXbp00bJly1S8eHH1799fCQkJaV7vwoULWrNmjaZOnaply5ZZti9dulT29vZatGiRhg4dquDgYC1atCjVa7i4uKhBgwZauXKl1fYVK1aoUaNGqQb2N27c0IoVK1S1alU5Ojpatt+5c0fffPONxo8fr/nz5ysqKkrvvfdeivNbtWqlevXqqVOnTtqzZ0+K/fcbNWqU9u3bp0mTJmn58uV68cUX1bVrV507d87q3rNmzdKnn36quXPnKjw8XOPHj7fsnz59ulasWKGxY8fqxx9/VHR0dKbamsyePVuVKlXSsmXL9Prrr2vEiBE6c+aMJCk+Pl5dunRR3rx5NW/ePM2fP1958uRR165dFRcXl+r1hg4dqqpVq6pNmzbasmWLtmzZYnlTIy09e/ZUnTp11K5dO61fvz7DmqV7b1K8/fbbCgwM1PLly7Vw4UK1bds21TduUnPhwgX9+eefmjFjhj777DMtXrxY3bt31+XLlzVnzhy9//77+uKLL3TgwAHLOSaTSUOHDtXKlSs1btw4bd++XRMmTLDs//DDDxUbG6uJEydKuvf3HhUVpWHDhmVYT/Lfb3BwsLZs2aIpU6Zk6jkyY9SoUapfv75VqJ4ZixcvliSNHTtWW7Zssby+ffu26tevr+DgYC1dulTPPPOMevToobCwMMu5gwYNUkREhObMmaMpU6bop59+0tWrVx+q/tu3b2vJkiUqWrSoChUq9FDXAAAAAAAAQNYxJyXZ5OtxYKj2ONHR0frhhx80bNgwvfzyy5KkYsWKqUaNGgoJCZEkde7cWQ0aNJAkvfvuu2rWrJnOnz+vUqVKpXrN+Ph4ffrpp3Jzc7PaXrhwYX3wwQcymUwqWbKkTp48qeDgYLVp0ybV67Ro0UIDBgxQbGyscufOrejoaP3xxx+aOnWq1XETJkzQvHnzFBsbq4CAAH377bcp6hk2bJiqVKkiSRo3bpyaNm2qgwcPyt/fX56enho5cqQqVaqkuLg4LVq0SG+88YZ++uknVaxYMdXawsLCtGTJEm3cuFHe3t6SpC5dumjz5s1asmSJ+vXrZ7n3yJEjLbOM27dvb5lBL0lz585V9+7d1bhxY0n3eoL/+eefqd7zn5599lm1b99ektStWzcFBwdrx44dKlmypFatWqWkpCSNGTPGEoaPHTtWgYGB2rlzp+rVq5fievny5ZOjo6OcnZ3l6emZYv8/5cmTR4MHD1a1atVkMpn0+++/6+2339ZXX32lhg0bpntudHS0bt26peeee87yM0nr7yg1ZrNZn3zyiVxcXFS6dGnVqlVLZ8+e1fTp02VnZ6eSJUtq+vTp2rFjh+X3/c8Z4kWLFlXfvn01fPhwjRgxQpKUN29eTZgwQR07dlTevHn1ww8/6Pvvv7dqlZSW5L9xV1fXDH9uD+LXX3/V0aNHLYH7g0iuKX/+/FY1lStXTuXKlbO87tu3r9atW6cNGzaoQ4cOOn36tLZu3arFixercuXKkqTRo0fr+eeff6D7z5s3TxMnTtTt27dVokQJzZ49+5G2yAIAAAAAAAD+LUOF9mfOnFFcXJxq107746H/bAGSHAJeu3YtzbC1SJEiKQJ7SapSpYrVjOqAgADNnj1biYmJmj59uqZNm2bZ9+uvv+rZZ5+Vo6OjNmzYoGbNmmnNmjVycXFJMfO4S5cueuWVVxQWFqapU6dq0KBBmjZtmuVeDg4OlhBSuhcS58+fX6dPn5a/v79KliypkiVLWvZXq1ZNFy9eVHBwsCZMmKDly5dr+PDhlv3Tp09XdHS0EhMT9eKLL1rVEhcXZ9XbPXfu3FZtQby8vCwzl2/duqUrV67I39/fst/e3l4VK1ZUUgbvQP3zd2IymeTh4WG57vHjx3XhwgVVq1bN6py7d+/qwoUL2r17t7p162bZPnLkSLVo0SLV+zRr1swyE7t69eqaMWOG3Nzc1KnT/z5K4+/vr4iICM2cOTPD0N7V1VWtW7dWly5dVLduXdWpU0dNmjSxtAvKiI+Pj1WY7uHhIXt7e9nZ2Vlt++fs8K1bt2ratGk6c+aM5fd29+5dy5tBklS1alV17txZX3/9tbp166YaNWpkqp5HITw8XGPGjNGsWbOUK1euLLtuTEyMpk6dqj/++EORkZFKTEzUnTt3LL/fs2fPysHBweqNKl9fXxUoUCCtS6aqRYsWqlu3riIjIzVz5kz17dtX8+fPz9JnAQAAAAAAwEMwVtd2QzFUaJ+ZIO2frWaSg/D0QuXUWtdk5LXXXlOTJk0sr728vOTg4KAXXnhBK1asULNmzbRy5Uo1bdpUDg7WP0I3Nze5ubmpRIkSKlWqlOrXr6/9+/db+u4/jMqVK2vv3r2S7vUIT561LUne3t7asGGD7O3t9fPPP6dYYDNPnjyW7++v1WQyKSuWNEjvurdv31bFihUt7V7+yc3NTY6OjlZti9JbcPe7776ztEJKb8HhKlWqaOvWrZmqfezYserYsaM2b96s1atX64svvtDs2bMVEBCQ4bmpPXdq25L/PkNCQvTWW2+pXbt2eu+991SgQAHt2bNHQ4cOVXx8vOVvNSkpSXv37pW9vb0uXLiQqed4VI4cOaKrV6+qdevWlm2JiYnatWuX5s2bp0OHDj3Uoq7jx4/X1q1bNWjQIBUrVkzOzs569913FR8fn5XlK1++fMqXL5+KFy+uKlWqqGbNmlq7dq1eeumlLL0PAAAAAAAAkFUMFdoXL15czs7O2r59u5566qlHeq+DBw9avT5w4IB8fX1lb28vV1dXqxnqyZo3b67OnTvr1KlT2r59u/r27ZvuPZLD2n/2bk9ISNDhw4ctM9rPnDmjqKiodNuyHD9+3PKpAhcXlxStUsqXL6/ExERdu3btoWdl58uXTx4eHjp06JACAwMl3Qtnjx49atXG5EFVrFhRq1evlru7e5otXnx9fVNsc3R0TPFmTEaLwyY7duzYA7WHqVChgipUqKC33npLbdu21cqVKzMV2j+oI0eOyGw2a/DgwZbZ+KtXr05x3IwZM3TmzBnNmTNHXbt21c8//6z//Oc/GV4/+Q2txMTELKu5du3aWrFihdW2IUOGqGTJkurWrVumAntHR8cUNe3bt08vv/yypRVTTEyM1YK1JUqUUEJCgo4ePapKlSpJks6fP6+bN2/+q+cxm81prqUAAAAAAACAbJTETPu0GCq0z5Url7p166YJEybI0dFR1apV07Vr13Tq1CnVqVMnS+8VFhamsWPHqm3btjp69Kjmzp2rQYMGpXtOYGCgPDw89P7776to0aJWM94PHDigQ4cOqXr16sqfP78uXLigL7/8UsWKFbOaZe/o6KiPP/5YH374oezt7fXxxx8rICDAEuIHBweraNGiKlOmjO7evatFixZp+/btmjVrVpp1lShRQs2bN9fAgQM1ePBglS9fXtevX9e2bdvk5+dnWQMgIx06dNC0adNUrFgxlSxZUnPnztXNmzczvTBrapo3b66ZM2eqZ8+e6tOnj7y9vRUWFqa1a9eqa9euaS4K6uPjowMHDigkJER58uSRq6urVduZZEuXLpWjo6PKly8vSVq7dq1+/vlnjR49OsPaLl68qJ9++klBQUHy8vLS2bNnde7cObVs2fKhnzc9vr6+io+P15w5cxQUFKQ9e/ZowYIFVsccPXpUkydP1uTJk1W9enUNHjxYY8aMUc2aNTN8I8vd3V3Ozs7avHmzChUqpFy5cilfvnzpnhMXF6fTp09bvr98+bKOHTumPHnyyNfXVy4uLipbtqzVOcm/j/u3p8XHx0fbtm1TtWrV5OTkpAIFCsjX11dr165VUFCQTCaTvvjiC6s3aUqVKqWnn35aw4YN04gRI+Tg4KBx48bJ2dk5U3+PFy9e1KpVq1S3bl25ubnp0qVL+u677+Ts7Kz69etnqm4AAAAAyA758zqr35tBqletpJLMZv2x85Qmfb9RsXfT/iSyW4E86t2+vmpW9lUeZyddCL+m4GU79MfOU5KkquWL6uthbVM9t/PQuTp25rKKFS6ogV0aqURRd+XNnUtXrkfr963HNfPnbUpMfDwWagSAnMpQob0k9erVS/b29po8ebIiIiLk6emp1157Lcvv06pVK925c0evvvqq7O3t9cYbb6ht29T/H1oyk8mkZs2aacaMGXr77bet9jk7O+v333/XlClTdPv2bXl6euqZZ55Rr169rBa+dHZ2Vrdu3dS/f39dvnxZNWrU0JgxYyz74+PjNX78eF2+fFm5c+dW2bJlNXv27HT7/Ev32rx88803GjdunCIiIuTq6qqAgIBMB/bSvUVkr1y5okGDBsne3l5t2rRRvXr1Hqr9SbLcuXNr7ty5mjhxonr37q2YmBh5e3urTp066S6u2rlzZw0ePFjNmjXTnTt3tH79ehUtWjTVY7/++muFhYXJ3t5eJUuW1KRJk1L090+rtjNnzmjp0qW6ceOGvLy81L59+0fy9ybdW3x1yJAhmj59uj7//HPVqFFD/fr1s7xZdPfuXQ0YMECtW7dWUFCQJKlt27b6448/NGDAAM2bNy/d34WDg4M+/PBDffXVV5o8ebJq1KihOXPmpFtTRESEWrVqZXk9a9YszZo1SzVr1szw3MwaNGiQxo0bp0WLFlnaOQ0ePFgffPCBXnvtNRUsWFDdunVTTEyM1Xnjx4/X0KFD1b59e3l6eqpfv376+++/M9VGy8nJSbt379b333+vqKgoubu7q0aNGpo/f366LZgAAAAA4FH46qM2+nXTEa3680iKfSN6N5W7a169+8liOTjY68O3XtDgbo01fOqqNK83rFcT5cuTSwMnLtONW7F6vm45je7zkjoPnaeT5yJ06GSYmvX4xuqc7m3qqkbFYjp25rIkKSExSas3H9WJsxGKvn1HpX29NKRbY9mZTPp24Zas/QEAAB6IyZwVTc0fMx07dlS5cuU0dOjQbL3vkiVL9Mknn2j37t3Zet+HlZSUpCZNmqhJkyYZtgICHrVLly6pfv36Cg4OzvJP3qSnsd2r2XYvAADwZIpum/4EHQCPv7RCe98iblrwWSd1GjpXx/8/TK9dpbg+G9haLXtP05XrMaldTutnv6MJM9fpty3HLNt++66Xvpq/WSs2HkpxvL29nZZ/9ZYWr9mn2Uu3p1nnux3qq3ypQuo5cuHDPCYAA9s2v7+tS0jhBef2NrnvmjvzbHLfB2G4mfawndDQUP31118KDAxUXFyc5s2bp9DQUDVv3tzWpeEJtG3bNt2+fVtly5ZVZGSkJkyYIB8fn4detwEAAAAAjKZy2SKKir5jCewladeh80oym1WxVGFt2v13qucdOhmmRnX8tHXfWd26fUcNa/vJydFB+45eTPX4Z6qXUoF8zlq56XCatRT1dlXtKiX0x65T/+6hAAD/GqE9LOzs7LRkyRKNHz9eZrPZ0ponvUVyje6f6wncb/r06WkGwM2aNVNYWFiq+0aOHKkWLVpkSX0P4ttvv9W0adNS3Ve9enXNmDEjxfaHff7MWr58uYYPH57qviJFiujXX3996GsnJCRo0qRJunjxovLmzauqVatq4sSJcnR0fKT3BQAAAIB/678ta+qNVrUsr3M5Oahi6cLq3ynIsu3194PlXiCPrkfdtjo3McmsqOg7cnPNm+b1P/xypT5+9yWtmfG2EhISdScuQYM//0Uhl2+kenzzBpW048A5RV6LTrHvu5HtVLa4l3I5OWjZugOavuivB3xaAHg4ZhaiTdMT2R4HT47z58+nuc/b21vOzs6p7gsNDVVCQkKq+9zd3dPtx/+o3LhxQzdv3kx1n7Ozs7y9vVNsf9jnz6zo6GhdvXo11X0ODg7y8fH5V9c3wn1pjwMAAB412uMAOU/+vM7K7/K/f2+N6N1UG3ee0qad/5vFHh55Ux2aB6rJsxX1Wv/ZVuf/+m1PzVi8VUvXHUj1+v3eDFKFUoX07YItunErVs8GltZrTaqp58iFOn3xitWxnm4uWjqlmz78cqVlodp/8nLLpzy5HVXG10u9X39WP63Zp3krdv2bxwdgQEZsj/O80+s2ue/vcT/a5L4Pgpn2yNF8fX0f6rxHFTb/G66urnJ1dX2gcx72+TPLxcXFJm9g2Oq+AAAAAJAZUTF3FBVzx/L6blyCrt+8nWIm/NWbt1Uwfx6rbfZ2JuV3cda1G6n3s/fxKqBXX6iq1wcE62zIvclMf1+IVICfj/7zfIA+nbnO6viX6lfSzVt3tHnP6VSvF3HtliTpXOg12dmZNLhrY81fuVtJzPEE8KiZk2xdgWHZ2boAAAAAAACAJ9Ghk2HK7+IsvxJelm3VKxaTncmkI6fDUz3HOZejJCnpvrYSiUlmmUymFMc3q19Rv20+qsTEjMMxO5NJDvZ2MtmlvA4AIPsQ2gMAAAAAAGSh3Lkc5VYgj+Xro8krtf3AWattdiaTzodd07b9ZzWk2/OqUKqQ/MsWUf9OQVq37biuXL83096zoIsWTOykCqUKSZLOhV3TxfDrGtS1sSqUKiQfrwJq16y6alb21Z/3LVxbo2Ix+Xi7avnGQylqfL5uOTWsXVa+RdxUxKuAGtYuq56v1dO67ScyFfADAB4d2uMAAAAAAABkoddfqqGurzyd7jEvvzNdl65EacTUVerfKUiTh74qs9msP3ae0ufBGyzH2dvbydfHTbmc7kU4iYlJ6vfpEvV67RlNGNBKuXM5KeTydX38zWpt23/W6h7Nn6ukgydCdT7sWor7Jyaa1aF5TT1VuKBMJunSlSgt/n2/FqzakwU/AQDIGAvRpo2FaAEgHSxECwAAHjUWogUAAI+aEReibWzf1ib3XZu48IHPmTdvnmbOnKnIyEiVK1dOH330kfz9/dM8fvXq1fryyy8VGhqq4sWL6/3331f9+vUzfT/a4wAAAAAAAAAAspc5yTZfD2jVqlUaO3as3n77bS1dulTlypVTly5ddPXq1VSP37t3r/r3769XXnlFy5YtU8OGDfX222/r5MmTmb4noT0AAAAAAAAAAKmYPXu22rRpo//85z8qXbq0Ro4cKWdnZ/3888+pHv/DDz/omWeeUdeuXVWqVCn17dtXFSpU0Ny5czN9T0J7AAAAAAAAAMATIS4uTtHR0VZfcXFxaR575MgRPf30/9YpsbOz09NPP619+/ales7+/ftVp04dq2316tXT/v37M10jC9ECAAAAAAAAALLV2qRFNrnvlClTNHXqVKttvXv31jvvvJPi2OvXrysxMVHu7u5W293d3XXmzJlUr3/lyhV5eHikOP7KlSuZrpHQHgAAAAAAAADwRHjrrbfUqVMnq21OTk42qiZ1hPYAAAAAAAAAgCeCk5NTpkP6ggULyt7ePsWis1evXk0xmz6Zh4dHiln16R2fGnraAwAAAAAAAABwHycnJ1WsWFHbtm2zbEtKStK2bdtUtWrVVM8JCAjQ9u3brbZt3bpVAQEBmb4voT0AAAAAAAAAAKno1KmTfvrpJy1dulSnT5/WiBEjFBsbq9atW0uSBg4cqM8++8xy/BtvvKHNmzdr1qxZOn36tKZMmaLDhw+rQ4cOmb4n7XEAAAAAAAAAAEhF06ZNde3aNU2ePFmRkZEqX768ZsyYYWl3Ex4eLju7/82Nr1atmiZOnKgvvvhCn3/+uYoXL66vvvpKZcuWzfQ9TWaz2ZzlTwIAOURju1dtXQIAAMjhotvWtnUJAAAgh9s2v7+tS8ADoD0OAAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYhMlsNpttXQQAAAAAAAAAAGCmPQAAAAAAAAAAhkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAwAMym81KTEy0dRkAAAAAgByI0B4AACANCQkJmjRpkjp06KDJkydLkmbMmKGqVauqSpUqGjRokOLi4mxcJQAAeJwdPHjQajLAxo0b1aFDBz3zzDNq3bq1li1bZrviAAA2QWgPAACQhqlTp2rx4sWqVKmS1qxZo+HDh2vu3LkaNWqURo8erW3btun777+3dZkAAOAx1rZtW924cUOStGHDBvXq1Us+Pj7q0aOHKlSooKFDh2rt2rW2LRIAkK0cbF0AAACAUa1cuVKjR4/Wc889p3bt2unFF1/UZ599pqZNm0qSnJyc9M0336hbt242rhQAADyuzGaz5fsZM2aoa9eu6t+/v2Vb0aJFNWPGDDVu3NgW5QEAbICZ9gAAAGmIiIhQuXLlJEm+vr5ydHSUn5+fZX/lypUVGhpqq/IAAEAOc+7cOb3wwgtW255//nmdOXPGRhUBAGyB0B4AACAN+fLlU1RUlOV1hQoV5OLiYnkdFxcnk8lki9IAAEAO8vfff+v48eNydnZWUlJSiv0JCQk2qAoAYCu0xwEAAEhDqVKldPToUcvs+gULFljtP3nypHx9fW1RGgAAyEHefPNNS5ucvXv3yt/f37Lv2LFjKlKkiK1KAwDYAKE9AABAGkaOHCkHh7SHSwkJCeratWs2VgQAAHKa9evXW73OkyeP1ev4+HjWzwGAJ4zJ/M8VTwAAAAAAAAAAgM3Q0x4AAOABdO/eXREREbYuAwAA5GCMNwDgyUZoDwAA8AB27dqlu3fv2roMAACQgzHeAIAnG6E9AAAAAAAAAAAGQWgPAADwAHx8fNJdnBYAAODfYrwBAE82FqIFAADIQFhYmAoXLiyTyWS13Ww2Kzw8XEWKFLFRZQAAIKdgvAEASMZMewAAgAw0bNhQ165dS7H9xo0batiwoQ0qAgAAOQ3jDQBAMkJ7AACADJjN5hSz3iTp9u3bypUrlw0qAgAAOQ3jDQBAMhqkAQAApGHs2LGSJJPJpC+++EK5c+e27EtMTNTBgwdVrlw5W5UHAAByAMYbAID7EdoDAACk4ejRo5LuzXw7efKkHB0dLfucnJxUrlw5de7c2VblAQCAHIDxBgDgfixECwAAkIEhQ4Zo6NChcnFxsXUpAAAgh2K8AQBIRmgPAADwAFauXKmgoCDlyZPH1qUAAIAcivEGADzZWIgWAADgAQwbNkxXr161dRkAACAHY7wBAE82QnsAAIAHwIcUAQDAo8Z4AwCebIT2AAAAAAAAAAAYBD3tAQAAHsDu3bvl7+8vJycnW5cCAAByKMYbAPBkY6Y9AABAJiQkJGjr1q36+++/FRcXJ0m6fPmyYmJibFwZAADIKRhvAAAkycHWBQAAABhdaGiounbtqvDwcMXFxalu3bpycXHR9OnTFRcXp1GjRtm6RAAA8JhjvAEASMZMewAAgAyMGTNGlSpV0s6dO5UrVy7L9saNG2v79u02rAwAAOQUjDcAAMmYaQ8AAJCBPXv2aP78+Sn6yvr4+Ojy5cs2qgoAAOQkjDcAAMmYaQ8AAJCBpKQkJSUlpdh+6dIl5c2b1wYVAQCAnIbxBgAgGaE9AABABurWravvv//ealtMTIymTJmi+vXr26gqAACQkzDeAAAkM5nNZrOtiwAAADCyS5cuqUuXLjKbzTp//rwqVaqkc+fOqWDBgpo3b57c3d1tXSIAAHjMMd4AACQjtAcAAMiEhIQE/frrrzpx4oRu376tihUrqnnz5nJ2drZ1aQAAIIdgvAEAkAjtAQAAAAAAAAAwDAdbFwAAAPA4OHfunHbs2KGrV6+mWCSud+/eNqoKAADkJIw3AAASM+0BAAAy9NNPP2nEiBEqWLCgPDw8ZDKZLPtMJpOWLl1qw+oAAEBOwHgDAJCM0B4AACADzz33nNq1a6fu3bvbuhQAAJBDMd4AACSzs3UBAAAARnfz5k01adLE1mUAAIAcjPEGACAZoT0AAEAGXnzxRW3ZssXWZQAAgByM8QYAIBkL0QIAAGTA19dXX375pQ4cOKCyZcvKwcF6CPXGG2/YqDIAAJBTMN4AACSjpz0AAEAGgoKC0txnMpm0fv36bKwGAADkRIw3AADJCO0BAAAAAAAAADAIetoDAAAAAAAAAGAQ9LQHAABIxdixY9WnTx/lyZNHY8eOTffYIUOGZFNVAAAgJ2G8AQBIDaE9AABAKo4ePaqEhATL92kxmUzZVRIAAMhhGG8AAFJDT3sAAAAAAAAAAAyCnvYAAAAAAAAAABgE7XEAAAAy8Pbbb6f6sXSTySQnJyf5+vrqpZdeUsmSJW1QHQAAyAkYbwAAkjHTHgAAIAP58uXT9u3bdfToUZlMJplMJh09elTbt29XYmKiVq1apZYtW2rPnj22LhUAADymGG8AAJLR0x4AACADEydOVHR0tIYNGyY7u3tzHpKSkjRmzBjlzZtX7733noYPH65Tp05p/vz5Nq4WAAA8jhhvAACSMdMeAAAgA4sXL9Z///tfyz+gJcnOzk4dOnTQwoULZTKZ1L59e506dcqGVQIAgMcZ4w0AQDJCewAAgAwkJibqzJkzKbafOXNGSUlJkqRcuXKl2ocWAAAgMxhvAACSsRAtAABABlq2bKmhQ4fq4sWLqlSpkiTp8OHD+vbbb9WyZUtJ0q5du1S6dGlblgkAAB5jjDcAAMnoaQ8AAJCBxMREfffdd5o3b56uXLkiSfLw8FCHDh3UrVs32dvbKywsTHZ2dipUqJCNqwUAAI8jxhsAgGSE9gAAAA8gOjpakuTi4mLjSgAAQE7FeAMAnmyE9gAAAAAAAAAAGAQ97QEAADJw5coVjR8/Xtu2bdO1a9d0/5yHY8eO2agyAACQUzDeAAAkI7QHAADIwODBgxUeHq5evXrJy8vL1uUAAIAciPEGACAZ7XEAAAAyULVqVf34448qX768rUsBAAA5FOMNAEAyO1sXAAAAYHSFCxdO8RF1AACArMR4AwCQjNAeAAAgAx988IE+++wzhYSE2LoUAACQQzHeAAAkoz0OAABABgIDAxUbG6vExEQ5OzvL0dHRav/OnTttVBkAAMgpGG8AAJKxEC0AAEAGPvjgA1uXAAAAcjjGGwCAZMy0BwAAAAAAAADAIOhpDwAAkAkXLlzQpEmT1K9fP129elWStGnTJp06dcrGlQEAgJyC8QYAQCK0BwAAyNDOnTvVvHlzHTx4UL///rtu374tSTpx4oSmTJli4+oAAEBOwHgDAJCM0B4AACADn332mfr27avZs2dbLQpXu3Zt7d+/33aFAQCAHIPxBgAgGaE9AABABk6ePKlGjRql2O7m5qbr16/boCIAAJDTMN4AACQjtAcAAMhAvnz5FBkZmWL7sWPH5O3tbYOKAABATsN4AwCQjNAeAAAgA82aNdPEiRMVGRkpk8mkpKQk7dmzR+PHj1erVq1sXR4AAMgBGG8AAJKZzGaz2dZFAAAAGFlcXJxGjRqlpUuXKjExUQ4ODkpMTNRLL72kcePGyd7e3tYlAgCAxxzjDQBAMkJ7AACATAoPD9fJkycVExOjChUqqHjx4rYuCQAA5DCMNwAAhPYAAAAPYM+ePapcubKcnJxsXQoAAMihGG8AwJONnvYAAAAPoFu3brp8+bKtywAAADkY4w0AeLIR2gMAADwAPqQIAAAeNcYbAPBkI7QHAAAAAAAAAMAgCO0BAAAewKhRo+Tu7m7rMgAAQA7GeAMAnmwsRAsAAAAAAAAAgEE42LoAAAAAo7p69arVLLdjx44pODhY58+fl5eXl9q3b69atWrZsEIAAPC4Y7wBALgf7XEAAADSUK9ePV29elWStHfvXr366qsKCwtTtWrVFB0drc6dO2vXrl02rhIAADzOGG8AAO5HexwAAIA0lCtXTn/99Zfc3d3VuXNnFSpUSJ988oll/5gxY3Ty5El9//33NqwSAAA8zhhvAADux0x7AACATDh58qTatGljta1NmzY6ceKEjSoCAAA5DeMNAIBET3sAAIB0xcTEKFeuXMqVK5ecnJys9uXKlUt37tyxUWUAACCnYLwBAPgnQnsAAIB0vPDCC5Iks9msw4cPq0KFCpZ9p06dkpeXl61KAwAAOQTjDQDAPxHaAwAApOGHH36weu3p6Wn1OiQkJMVH2AEAAB4E4w0AwP1YiBYAAAAAAAAAAINgpj0AAEAmHTp0SKdPn5YklSpVSpUrV7ZxRQAAIKdhvAEAILQHAADIwKVLl9SvXz/t3btX+fPnlyRFRUWpatWqmjRpkgoVKmTjCgEAwOOO8QYAIJmdrQsAAAAwuqFDhyohIUGrVq3Szp07tXPnTq1atUpms1lDhw61dXkAACAHYLwBAEhGT3sAAIAM+Pv7a8GCBapQoYLV9sOHD6t9+/Y6cOCAjSoDAAA5BeMNAEAyZtoDAABkoHDhwkpISEixPSkpSV5eXjaoCAAA5DSMNwAAyQjtAQAAMjBgwAB9/PHHOnTokGXboUOHNGbMGA0aNMiGlQEAgJyC8QYAIBntcQAAADIQGBio2NhYJSYmyt7eXpIs3+fJk8fq2J07d9qiRAAA8JhjvAEASOZg6wIAAACM7oMPPrB1CQAAIIdjvAEASMZMewAAAAAAAAAADIKe9gAAABlITEy0en3gwAHt2rVL8fHxNqoIAADkNIw3AADJCO0BAADSEBERoXbt2qly5crq0KGDbt68qbfeektt27ZVx44d9dJLLykiIsLWZQIAgMcY4w0AwP0I7QEAANIwceJEmc1mTZ06VZ6ennrrrbcUHR2tTZs2acOGDXJzc9O3335r6zIBAMBjjPEGAOB+LEQLAACQhq1bt2rq1KkKCAhQtWrVVLt2bc2ePVve3t6SpHfffVcfffSRjasEAACPM8YbAID7MdMeAAAgDVFRUZZ/MLu6uip37twqUqSIZb+vr68iIyNtVR4AAMgBGG8AAO5HaA8AAJAGd3d3q38kt2/fXgUKFLC8joqKUu7cuW1RGgAAyCEYbwAA7kdoDwAAkIZy5cpp3759ltfvv/++XF1dLa/37NkjPz8/G1QGAAByCsYbAID7mcxms9nWRQAAADyODh48KGdnZ5UtW9bWpQAAgByK8QYAPHkI7QEAADJw9+5d5cqVy9ZlAACAHIzxBgAgGe1xAAAAMlCnTh0NHjxYf/31l5KSkmxdDgAAyIEYbwAAkjHTHgAAIANr167VihUrtGnTJuXLl09NmjRRixYtVLlyZVuXBgAAcgjGGwCAZIT2AAAAmRQdHa01a9bo119/1fbt2/XUU0+pefPm6t27t61LAwAAOQTjDQAAoT0AAMBD+Pvvv/X+++/rxIkTOnbsmK3LAQAAORDjDQB4MjnYugAAAIDHxd27d7V+/XqtXLlSmzdvloeHh7p06WLrsgAAQA7CeAMAwEx7AACADGzevFkrV67UunXr5ODgoBdeeEHNmzdXYGCgrUsDAAA5BOMNAEAyQnsAAIAMVKlSRQ0aNFDz5s1Vv359OTo62rokAACQwzDeAAAkI7QHAADIQHR0tFxcXCRJly5dkpeXl+zs7GxcFQAAyEkYbwAAkvG//gAAABlI/ge0JDVt2lShoaE2rAYAAOREjDcAAMkI7QEAAB4AH1IEAACPGuMNAHiyEdoDAAAAAAAAAGAQhPYAAAAPoEePHipQoICtywAAADkY4w0AeLKxEC0AAMADSB46mUwmG1cCAAByKsYbAPBkY6Y9AABAJixatEgvvfSSKleurMqVK+ull17SokWLbF0WAADIQRhvAAAkycHWBQAAABjdl19+qeDgYHXo0EEBAQGSpP379+uTTz5RWFiY+vTpY9sCAQDAY4/xBgAgGe1xAAAAMlC7dm19+OGHeumll6y2r1y5Uh9//LF27Nhho8oAAEBOwXgDAJCM9jgAAAAZSEhIUKVKlVJsr1ixohITE21QEQAAyGkYbwAAkhHaAwAAZKBly5aaP39+iu0//fSTmjdvboOKAABATsN4AwCQjPY4AAAAGfj444+1bNkyFS5cWFWqVJEkHTx4UGFhYWrVqpUcHP63TNCQIUNsVSYAAHiMMd4AACRjIVoAAIAMnDx5UhUqVJAkXbhwQZLk6uoqV1dXnTx50nKcyWSySX0AAODxx3gDAJCMmfYAAAAAAAAAABgEPe0BAADSER8frwoVKljNcAMAAMhKjDcAAP9EaA8AAJAOR0dHFS5cWElJSbYuBQAA5FCMNwAA/0RoDwAAkIEePXro888/140bN2xdCgAAyKEYbwAAktHTHgAAIAOtWrXS+fPnlZCQoCJFiihPnjxW+5cuXWqjygAAQE7BeAMAkMzB1gUAAAAYXaNGjWxdAgAAyOEYbwAAkjHTHgAAAAAAAAAAg6CnPQAAAAAAAAAABkF7HAAAgFTUrFlTv/32m9zc3BQYGCiTyZTmsTt37szGygAAQE7BeAMAkBpCewAAgFQMGTJELi4ukqQPPvjAxtUAAICciPEGACA19LQHAAAAAAAAAMAgmGkPAACQCUlJSTp//ryuXr2q++c8BAYG2qgqAACQkzDeAABIhPYAAAAZ2r9/v/r376+wsLAU/4A2mUw6duyYjSoDAAA5BeMNAEAy2uMAAABkoGXLlipevLjeffddeXp6plgkLl++fDaqDAAA5BSMNwAAyQjtAQAAMhAQEKBffvlFvr6+ti4FAADkUIw3AADJ7GxdAAAAgNH5+/vr/Pnzti4DAADkYIw3AADJ6GkPAACQiuPHj1u+79ixo8aPH68rV66obNmycnCwHkKVK1cuu8sDAAA5AOMNAEBqaI8DAACQinLlyslkMqVYCC5Z8j4WhgMAAA+L8QYAIDWE9gAAAKkIDQ3N9LE+Pj6PsBIAAJBTMd4AAKSG0B4AACAD06ZNk7u7u1555RWr7YsXL9a1a9fUvXt3G1UGAAByCsYbAIBkLEQLAACQgYULF6pkyZIptpcpU0YLFiywQUUAACCnYbwBAEhGaA8AAJCByMhIeXp6ptju5uamyMhIG1QEAAByGsYbAIBkhPYAAAAZKFy4sPbu3Zti+549e+Tl5WWDigAAQE7DeAMAkMzB1gUAAAAY3auvvqpPPvlECQkJql27tiRp27ZtmjBhgjp37mzj6gAAQE7AeAMAkIyFaAEAADJgNps1ceJEzZkzR/Hx8ZKkXLlyqWvXrurdu7eNqwMAADkB4w0AQDJCewAAgEyKiYnR6dOn5ezsrOLFi8vJycnWJQEAgByG8QYAgNAeAAAAAAAAAACDYCFaAAAAAAAAAAAMgtAeAAAAAAAAAACDILQHAAAAAAAAAMAgCO0BAAAAAAAAADAIQnsAAAAAyKSQkBD5+fmpS5cuti4FAAAAORShPQAAAAAAAAAABkFoDwAAAAAAAACAQTjYugAAAAAAyIlCQ0P11VdfafPmzbp+/brc3NxUr1499e7dW0WKFLE6NiIiQt99953+/PNPXbp0SU5OTvL09FRgYKAGDBigfPnyWY6Ni4vTvHnztHz5cp09e1Ymk0nly5dXly5d1LBhw+x+TAAAAGQxQnsAAAAAyGJnz57V66+/rmvXrum5555TmTJldOrUKf3888/auHGjfvzxR5UoUUKSFBsbq3bt2ik0NFR169ZVo0aNFB8fr5CQEC1fvlxdunSxhPZxcXHq0qWLdu7cqfLly+uVV15RfHy8Nm3apF69eumjjz5Shw4dbPnoAAAA+JcI7QEAAAAgiw0fPlzXrl3TqFGj1LZtW8v2efPmadSoURoxYoS+//57SdK2bdsUEhKi//73v/rggw+srhMTEyNHR0fL66+++ko7d+5Ur1699O6778pkMkmSoqOj9d///lfjxo1T48aN5e3tnQ1PCQAAgEeBnvYAAAAAkIXCwsK0Y8cOlS5dWm3atLHa165dO5UsWVLbt29XeHi41T5nZ+cU18qbN6+cnJwkSUlJSZo/f76KFStmFdhLkouLi95++23Fx8dr7dq1j+CpAAAAkF2YaQ8AAAAAWejYsWOSpMDAQKtgXZLs7OwUGBioM2fO6NixYypcuLACAwPl6emp7777TsePH1eDBg1Us2ZNlSpVyur8s2fP6ubNm/Ly8tLUqVNT3PfatWuSpDNnzjzCpwMAAMCjRmgPAAAAAFkoOjpakuTh4ZHqfk9PT6vj8uXLp59++kmTJ0/Wxo0btWnTJklS4cKF1a1bN7Vv316SdOPGDUnSqVOndOrUqTTvHxsbmyXPAQAAANsgtAcAAACALOTi4iJJunLlSqr7IyMjrY6TpCJFimjcuHFKSkrSiRMntGXLFs2ZM0ejRo1SgQIF9NJLL1mOf+GFFzR58uRH/BQAAACwFXraAwAAAEAWKl++vCRp9+7dMpvNVvvMZrN2795tddw/2dnZqXz58urWrZs+//xzSdKGDRskSaVKlZKLi4sOHz6s+Pj4R/kIAAAAsCFCewAAAADIQkWKFFGtWrV06tQpLV682GrfwoULdfr0adWuXVuFCxeWdK/dTWqz8pO35cqVS5Lk4OCgdu3aKTQ0VOPHj081uD958qSuXr2a1Y8EAACAbGQy3z/1AwAAAACQqpCQEDVs2FBeXl6qW7duqseULFlSjRo10uuvv64bN24oKChIpUuX1qlTp7Rhwwa5ubnpxx9/VIkSJSRJwcHBmjBhgqpVq6bixYvL1dVVFy9etMywnzdvnipXrixJiouLU48ePfTXX3+pWLFiqlGjhtzd3XX58mWdPHlSx48f18KFCxUQEJAtPw8AAABkPUJ7AAAAAMik5NA+PTVr1tScOXMUGhqqqVOnavPmzbp+/boKFiyoZ555Rr1795aPj4/l+NOnT2vBggXavXu3wsLCdPv2bXl7e6tGjRrq2rWrSpcubXX9xMRELV68WMuWLdPJkycVFxcnDw8PlSpVSg0bNlTLli2VJ0+eR/L8AAAAePQI7QEAAAAAAAAAMAh62gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAAAAAAAAGQWgPAAAAAAAAAIBBENoDAAAAAAAAAGAQhPYAAAAAAAAAABgEoT0AAAAAAAAAAAZBaA8AAAAAAAAAgEEQ2gMAAAAAAAAAYBCE9gAAAAAAAAAAGAShPQAAAAAAAAAABkFoDwAAAAAAAACAQRDaAwAAAAAAAABgEIT2AAAAAAAAAAAYBKE9AAAAgEybMmWK/Pz85OfnpylTpmTbfYOCgiz3DQkJybb7AgAAANnNwdYFAAAAAI+rjh07aufOnVbbvvrqKzVq1CjT1xg/frxmzZplta1379565513sqRGpC4oKEihoaEPdW5av59//j1k5e/w1q1b2rhxozZt2qTjx4/r6tWrio6Olqurqzw8PFS1alU1aNBAdevWlYPDo/0n3uHDh7VixQodOHBAFy5cUFRUlEwmk/LkyaNChQrJ19dXlSpVUrVq1RQQEPDI6wEAAMiJGEEBAAAAWeiXX37JdGifmJioFStWPOKK8LiKj4/XvHnz9M033+jGjRsp9kdGRioyMlLHjh3Tjz/+qBIlSmjgwIEKCgrK8louXbqkYcOGadOmTanuj4uL040bN3T8+HGtWbNGkpQvXz7t2LFD9vb2WV4PAABATkZoDwAAAGShjRs36ubNmypQoECGx/7111+KjIzMhqqQnjp16qhkyZKZPt7f3/8RVnNPdHS0evXqpR07dlhtL1u2rEqUKKECBQroypUrOnbsmMLDwyVJZ8+eVc+ePdW5c2cNHDhQJpMpS2oJDQ1Vhw4dFBYWZtmWP39++fv7y8vLS46Ojrpx44bOnj2r06dPKzExUdK9TwiYzeYsqQEAAOBJQmgPAAAAZIHSpUvr77//Vnx8vH799Ve9/vrrGZ7zyy+/pDgf2a9FixZq3bq1rcuwiI2NVceOHXX06FHLtsaNG6t///4qUaKE1bFms1m7du3SmDFjdPz4cUnSrFmzFBMTo1GjRmVJPR988IElsHdxcdHQoUPVvHlzOTo6pjg2OjpaGzdu1MqVK/Xnn39myf0BAACeNCxECwAAAGSBpk2bWkLMf4bxaYmOjta6deskSeXLl1fZsmUfaX14fIwePdoqsB84cKCmTp2aIrCXJJPJpJo1a+rnn39W48aNLdsXLlyo5cuX/+taDh48qO3bt1vu9e2336p169apBvbSvVC/efPmmjZtmn7//Xda4wAAADwEQnsAAAAgC7i5uemZZ56RJO3fv1/nzp1L9/jVq1frzp07kqRWrVo94urwuNi2bZsWL15sed2xY0d16dIlw/McHBz0+eefq2LFipZtI0eOVFRU1L+q56+//rJ8X6VKFQUGBmb63KeeeirLWvQAAAA8SWiPAwAAAGSRVq1aacOGDZKkZcuWqW/fvmkemzwb38HBQc2bN9eBAwce6F5ms1m//fab1q5dq4MHD+rq1auSJHd3d1WpUkWNGzfWCy+88ECh6fbt27Vo0SLt3btXV65cUYECBVSsWDE1a9ZMrVu3Vu7cuR+oxmTbtm3T6tWrtWfPHkVGRur27dtydXWVn5+fnnvuOb3yyitydnZ+qGvnNDNnzrR87+3trX79+mX6XCcnJ3388cf6z3/+I7PZrOjoaC1cuFDdunV76HouX75s+b5IkSIPfZ2MbNq0SevXr9fevXsVGRmp6Oho5c6dW0899ZQqV66s+vXrq379+nJwSPufsFn130THjh21c+dOSdIPP/ygWrVqKSIiQkuWLNG6desUHh6ua9euKW/evNq9e3eK85NbZG3cuFGHDx/WtWvXZDab5ebmpoCAADVp0kSNGjXK1H+bBw8e1LJly7Rv3z6FhIQoJiZGDg4Oyp8/v4oUKaLy5curVq1aatCggfLkyZPh9QAAwOOB0B4AAADIIs8995wKFCigmzdvavny5erTp0+qwVxISIgl7KtXr57c3d0f6D7nzp3Te++9Z9VCJdnt27d18eJFrVy5UhUrVtSXX36pp556Kt3rJSQkaNiwYfr555+ttkdGRioyMlJ79uzRjz/+qClTpjxQneHh4Ro4cKAlAE3t2lu2bNG0adM0adIk1ahR44Gun9OEhIRo8+bNltdt27Z94CC2YsWKCgwMtPzM58+f/69Cezu7/304OyQk5KGvk5ZTp05p8ODBOnz4cIp9t27d0tGjR3X06FEtXLhQTZs21aRJk1K9Tlb/N/FP69at0wcffKCbN29meOyOHTv04Ycf6sKFCyn2hYaGKjQ0VL/++qsCAgI0efJkeXt7p3qdhIQEjRo1SgsXLkyxLzEx0fLfz4EDB7RgwQL16NFD7733XqafCQAAGBuhPQAAAJBFnJyc1KRJEy1YsEChoaHatWuXatasmeK4ZcuWyWw2S5Jatmz5QPc4ffq0OnTooGvXrlm2lS1bVuXLl5fJZNLRo0d18uRJSdKRI0f02muvae7cuan2Q082aNAgrVy50vI6f/78qlWrllxdXRUeHq4dO3bo77//Vvfu3RUUFJTpOv/73/8qMjJS0r1+6BUqVFDp0qXl7Oysy5cva9euXYqJiVFERIQ6deqk6dOnq3bt2g/088hJ7n9zo3nz5g91nRYtWliulRwU+/j4PNS1ihUrZvn+8OHD2rZtm+rUqfNQ17rfjh071LNnT8XExFi2FSlSRJUrV5arq6tu376ts2fP6sSJE4qPj9fdu3dTvc6j+G8i2b59+zR16lTFx8fL1dVVgYGBKliwoK5evapjx45ZHbt69WoNGDBA8fHxkiRnZ2dVqVJFPj4+srOz07lz57R//34lJCRo//79atu2rRYvXiwPD48U9/3000+tAntvb2/5+/vLzc1NSUlJunHjhv7++2+dPXs2w2cAAACPH0J7AAAAIAu1atVKCxYskHQvnE8ttE9eIDR//vxq2LBhpq8dFxenfv36WcJJd3d3TZw4UU8//bTVcVu2bNH777+v69ev68qVK+rfv78WLlyY6uKhy5YtswrsO3TooAEDBli1q4mIiNCAAQO0fft2/fjjjxnWefv2bb3zzjuWwP7ZZ5/VRx99ZBUAS/cW4504caLmz5+vuLg4vf/++1q9erXy5cuX6Z9JTrJnzx7L9wULFkzx88osf3//FNd92ND+ueee0/jx45WUlKSkpCT17NlTnTp1UqtWreTr6/tQ15TufQqjT58+lsC+aNGiGj58uJ599tkUx968eVOrV6/W+fPnU+x7FP9N/NOUKVOUmJioPn36qFu3blbHx8XFWb5P/sRAfHy8TCaTOnXqpJ49eyp//vxW17t48aIGDRqkPXv2KDw8XEOGDNH06dOtjrl+/brmzZsnSbK3t9eYMWPUqlWrVD+1ExERoTVr1tBeCgCAHIbQHgAAAMhCVatWVfHixXXu3DmtWbNGw4YNswrU9u7dawkfmzRpoly5cmX62itWrNDx48clSY6OjpoxY4YqVKiQ4rh69erpu+++U7t27ZSQkKAjR47o119/TbHgbVJSkr744gvL69atW+ujjz5KcT0vLy9NmzZNbdq00YkTJzKsc/bs2Tp9+rQkqXHjxpo8ebJVm5VkLi4uGjFihO7cuaOlS5cqMjJS8+fPV/fu3TO8R1Zavnx5qu1Z0jJs2LBHUkdoaKjl+zJlyjz0dUqXLi07OzslJSWluO6D8vX1Vfv27TVnzhxJUmxsrL7++mt9/fXX8vHxUZUqVVSpUiX9H3v3HR5VnfZ//DOTZFJIqAGkN4WgAtIlIqiwruKqgAWXRdBF7Aquj71h2ZW1rbJYVmQLYsECrgVcFkTUJUqRIgooSpFqEiAQUieZ3x/5ZcgwCYR2zj2T9+u6nuvJlEzus29yJn5zck6XLl3UuXNn+Xy+ar3u008/rV27dkmSmjVrpunTp1d6xLkk1alTR1dccUWljx3r74kD+f1+jRs3TjfccEPYYxW39bHHHgteWPruu+/WVVddVenrtWjRQq+88oouu+wyrVu3Tp999plWrFihLl26BJ9TfjS+JA0aNEhDhgypcr5GjRrpyiuvPOg2AACAyMOiPQAAAHCMXXzxxXruueeUm5uruXPn6je/+U3wsffeey/keYej4ukyrrjiikoXJ8t17txZl112md544w1JZec2P3CB8vPPP9e2bdsklZ3K484776zy9RISEnTXXXfp97///UFnLC4uDh4l7PP59PDDD1e6YF/RbbfdFjxl0AcffOD4on1GRoYyMjKq/fzjtWhf8ZzpderUOeLXiYmJUa1atbR3796w1z0Sd999t/x+f/DfUrnyU+/MmjVLUlnvM844Q5deeqkGDhxY5evt2LFDs2fPDt4eP358lQv2h3KsvycO1KhRo0NeE2DNmjX68ssvJUknn3yyRo0addDnJyUl6cYbbwxeZPiDDz4IWbTPzc0Nfly/fv2DvhYAAIhOB//pGQAAAMBhu/jii4Onsqi4SF9UVBRcrGzZsqW6d+9e7dfMzc0NORr80ksvPeTnXHbZZcGPv/nmG+Xl5YU8/tVXXwU/7t+/v+rVq3fQ10tPT6/ywpnlVq1apezsbElSnz59qnWR3caNG6tt27aSyk4zUr7YXNNUPLd7YmLiUb1WxQvYVlwEPhKxsbEaP3683nzzTQ0cOLDKU8oUFRVp/vz5uummm3TFFVdo69atlT5v4cKFwSPJW7duXekpcarjeHxPHOjXv/61YmMPfqzbggULgh9fcMEFlZ7G5kAVr91Q8bRIktSkSZPgx//973+D308AAKDm4Eh7AAAA4Bhr1qyZevbsqUWLFmnhwoXKzMxUw4YNNW/ePO3Zs0fS4R9lv3btWpWUlEgqW5Dt0KHDIT+nY8eOSkpKUl5enkpKSrRmzRp169Yt+HjFC2medtpph3w9j8ejLl26aM6cOVU+Z/ny5cGPt2/frkceeeSQrysp+L9LIBDQ9u3bHT2v/eOPP66hQ4c69vWqUqtWreDH+fn5R/VaFRejk5OTj+q1ynXt2lXPP/+89u7dq8WLF2vp0qX69ttv9d1334Udzb9s2TJdfvnlevfdd8N+0VPx30hl13yoruPxPXGgU0899ZCvuWzZsuDHX331VZW/rKio/ELUkoJ/7VKuS5cuatKkibZt26atW7fqggsu0NChQ3XOOecc1imIAABA5GLRHgAAADgOLr74Yi1atEglJSX64IMP9Pvf/17//ve/JZUtfh/uon35+b+lsiNxq3M0r9fr1QknnKCffvop7DUkBS/eWf6a1XGo5/3yyy/Bj9euXVutc+Af6GhP5xKpKp4S52j+NygpKQk5av9oTrVTmZSUFJ1zzjk655xzJJUtQH/33Xd6//33NX369OAvHDIzM/XQQw/ppZdeCvn8ikeOt2jR4ojnOB7fEwc61F+fSKH/5j/77LNDPv9A5b+wKhcXF6cnnnhC1113nfLy8rRr1y5NmTJFU6ZMUXx8vE499VT17NlT/fr1U7du3aq13QAAILJwehwAAADgODjvvPOCpzh57733lJ2drc8//1yS1L1798NerDzSU6dUfG7F15BCj8au7mse6nnH4tQ25UdP1zTNmjULfvzDDz8c8eusW7cueBHaA1/3ePB4PDrllFN0zz33aMaMGWrYsGHwsfnz5+vnn38OeX7Ff4cVT+NzuI7H98SBKl5EuipHe/qhyv699+rVS++//74GDx4cMkNhYaGWLl2ql156ScOHD9d5552nuXPnHtXXBwAA9nCkPQAAAHAcJCcna8CAAfrwww+1du1aPfXUU8HzeB/q4peVOdJTp1R8bsXXkEIXTKv7mod6XsUF0SuvvFL3339/tV4XUrdu3fTOO+9IKjsCfOPGjWrVqtVhv87KlStDbh/OtROOVtu2bXX33Xfr9ttvD963dOnSkF9SVfx3eKhzyh/M8fieOBIV/81PmjRJv/rVr476NaWyv0L485//rIceekhLly7V0qVL9fXXX2vFihUqKCiQJG3YsEE33XST7r77bl199dXH5OsCAAD3caQ9AAAAcJxUXJyfMWOGJCk+Pl7nnXfeYb9WxdN0bN++PeSc2FUpLS3V9u3bK30NSapfv37w4wPPq12Viq9XmdTU1ODHWVlZ1XpNlDnw/O4ffPDBEb3O+++/H/y4WbNmx/1I+wOdeeaZIbcrnj5GUsjFiTdv3nzEX+d4fE8ciYr/5jMzM4/69Q6UlJSkM888U+PGjdPUqVP11Vdf6bnnnlP79u2Dz3n66ae1Y8eOY/61AQCAO1i0BwAAAI6T9PT0kFOFSNKAAQOO6CKrHTp0UExMjKSyU3pU51zxa9asCR7JHBMTo7S0tJDHO3bsGPy44sVBqxIIBLRixYqDPqdz587Bj5ctW1athVSUadGihfr27Ru8/dZbbx32kejffvutFi9eHLz929/+9pjNV13x8fEhtw+8cGrFix5/9dVXR/x1jsf3xJGo+G/+66+/PurXO5SEhASdd955evXVV4O/MCguLg6efgsAAEQ+Fu0BAACA4yQmJkYXXnhhyH1Hcmocqex0O6eeemrw9syZMw/5OeWnWpHKFhYPPH947969gx9/9tln2r1790Ff78svvzzkkfbdu3dX7dq1JZUd/fzJJ58cck7sN3r06ODHO3bs0DPPPFPtzy0uLtYDDzwQ/EVJcnKyhg0bdsxnPJQ1a9aE3G7atGnI7fT0dMXGlp2pdcOGDUe82Hw8vieOxNlnnx38+L///a9jf2FSt25ddevWLXi74gV+AQBAZGPRHgAAADiObrjhBr3zzjvB/6t4JPXhqrgA+9prr4Utjla0atUqTZ8+PXj7iiuuCHtO37591aRJE0ll5/l+8sknq3y9wsJCTZgw4ZAz+nw+jRo1Knj74YcfPqzTdtT0U+qkp6dr6NChwduvvvqq/v73vx/y8/x+v/7whz/o22+/Dd730EMPBX+BcqRmzJihjz/+uNp/MVFSUqK//vWvwdtxcXHq06dPyHMaN26s888/P2TOI+1+rL8njkTnzp2DpzYqKCjQnXfeqaKiomp9blFRkXJyckLu27VrV7W/dsXTWlU83RUAAIhsLNoDAAAAx1Ht2rXVqVOn4P+Vn87jSFx44YXB03kUFxfrmmuu0Zdffhn2vIULF2rMmDHBC9+ecsopuuCCC8KeFxMTo7FjxwZvv/POO/rjH/+owsLCkOdlZmbq+uuv15o1axQXF3fIOa+++mqddNJJksqOFr/kkks0e/ZslZaWVvr8nTt3avr06RoyZIimTJlyyNePdg888IA6dOgQvP3nP/9Zt9xyi9avXx/23EAgoMWLF+vSSy/VnDlzgvcPGzZMF1100VHP8tNPP2ns2LEaNGiQJk+erC1btlT53HXr1unaa6/VF198EbzviiuuqPR0ULfffrvq1q0rSdqyZYuGDRtW5RH3e/bs0fTp0/XEE0+EPXasvyeO1AMPPBA8av9///ufRowYcdBTSa1fv17PP/+8zjnnnLBT6kybNk0XX3yxXn/99SrPkb9v3z795S9/0TfffCOp7Hv5aH4hCAAAbIl1ewAAAAAA1ePz+fTMM89oxIgR2rlzpzIzMzVq1CilpaUFz0+/evXqkKONGzRooKeffrrKxfYhQ4ZowYIFmj17tiRp6tSp+ve//63evXurbt262rZtm7766isVFRWpefPmGjBggP71r38ddM5atWrpxRdf1FVXXaXNmzcrMzNT48aNU7169XTaaacpNTVVgUBAOTk5WrdunTZu3Bhc0D/99NOPxf9Uh+X999/XqlWrqv38E044Qddee+1Bn/Pmm29q7ty51X7NW2+9VQMGDJBUduHRadOm6aabbtKiRYskSXPmzNGcOXPUoUMHtW3bVikpKdq5c6e+++47bd26NeS1rr76at11113V/trV8dNPP+mpp57SU089pRNOOEEdOnRQ/fr15fP5lJOTox9++EE//vhjyOd07dpVt912W6Wv16RJEz377LO68cYblZeXp82bN+uaa65Rs2bN1KlTJ9WpU0d5eXnasGGD1qxZo+Li4uD/PhUdj++JI9G+fXs988wzuu2225Sfn68VK1bo8ssvV8uWLXXyySerTp06KioqUnZ2ttauXXvIvz5Zs2aNHn74YT3yyCNq2bKlTjrpJNWrV09+v1+ZmZn6+uuvQ653MGbMmOBfzQAAgMjHoj0AAAAQQdq1a6fXX39df/jDH/Tdd99JKlvgq+y0IKeccoqeffZZtWzZ8qCv+eSTTyohISF4TvCcnJyQo7YlqW3btpo0aZJmzZpVrTlbtGihd999Vw899JD+85//KBAIaNeuXZo/f36Vn1O7dm21b9++Wq9/LGVkZCgjI6Paz09LSzvkon1WVtZhnfLlwFOk1K5dW1OmTNG0adP00ksvBR9fu3ZtlRdcbdOmjf7v//5PAwcOrPbXPZTTTjtNJ554otatWxe8b/v27Qe9tkFsbKyGDx+u22677aDnjO/Tp4/eeOMN3XXXXcF/v1u2bKnyaP6qXut4fE8cibPPPltvvvmm7r333uBpijZt2qRNmzZV+TnNmjXTCSecEHJfrVq1gh8HAgFt3LhRGzdurPTz4+LidP311+vmm28+BlsAAACsYNEeAAAAiDBt2rTRu+++q48//lhz5szRypUrtXPnTkll57Xu0qWLfv3rX+vXv/61PB7PIV8vLi5OEyZM0MUXX6y33npLX3/9tbKzs1WnTh21bNlS559/vi655JKQxcTqqFu3rp577jl9//33+uijj/TVV19p8+bN2r17t7xer2rXrh08Ejk9PV1nnHGG4uPjj+h/k2jk8/n0+9//XpdddpnmzZunBQsWaM2aNdq5c6f27dunOnXqKDU1VaeddprOPvts9e3bN3iB12Nl4MCBGjhwoDZt2qSvvvpKy5Yt008//aTNmzdrz549KikpUVJSkurXr6/27dure/fuGjRokBo1alSt109LS9N7772nuXPnau7cuVq+fLmysrKUn5+v5ORkNW/eXJ07d9bZZ5+tM888s8rXOdbfE0cqLS1NM2bM0BdffKG5c+fq66+/1i+//KK9e/fK5/OpXr16atOmjbp06aK+ffuqa9euYfP8/ve/17nnnquFCxdq2bJlWrt2rbZs2aJ9+/bJ4/Godu3aatu2rU4//XQNHjxYzZo1O27bAwAA3OEJVPeKQgAAAAAAAAAA4LjiQrQAAAAAAAAAABjBoj0AAAAAAAAAAEawaA8AAAAAAAAAgBEs2gMAAAAAAAAAYASL9gAAAAAAAAAAGMGiPQAAAAAAAAAARrBoDwAAAAAAAACAESzaAwAAAAAAAABgBIv2AAAAAAAAAAAYwaI9AAAAAAAAAABGsGgPAAAAAAAAAIARLNoDAAAAAAAAAGAEi/YAAAAAAAAAABjBoj0AAAAAAAAAAEawaA8AAAAAAAAAgBEs2gMAAAAAAAAAYASL9gAAAAAAAAAAGMGiPQAAAAAAAAAARrBoDwAAAAAAAACAESzaAwAAAAAAAABgRKzbAwCAddnZexUIuD3FkUtM9Ck/v8jtMWo8OthABxvoYActbKCDDXSwgQ420MEOWtgQ6R08HqlBgxS3x8BhYNEeAA4hEFBEL9pLkT9/tKCDDXSwgQ520MIGOthABxvoYAMd7KCFDXSAkzg9DgAAAAAAAAAARrBoDwBRjqMBbKCDDXSwgQ520MIGOthABxvoYAMd7KCFDXSA0zyBAP/sAOBgsrIi+5z2AAAAAACg5vJ4pNRUzmkfSTjSHgCinNfrcXsEiA5W0MEGOthBCxvoYAMdbKCDDXSwgxY20AFOY9EeAKJcQkKc2yNAdLCCDjbQwQ5a2EAHG+hgAx1soIMdtLCBDnAai/YAAAAAAAAAABjBoj0AAAAAAAAAAEawaA8AUa60lKvoWkAHG+hgAx3soIUNdLCBDjbQwQY62EELG+gAp3kCgQD/6gDgILKy9oo9JQAAAAAAiEQej5SamuL2GDgMHGkPAFEuNpZdvQV0sIEONtDBDlrYQAcb6GADHWyggx20sIEOcBr/4gAgyvl8sW6PANHBCjrYQAc7aGEDHWyggw10sIEOdtDCBjrAaSzaAwAAAAAAAABgBIv2AAAAAAAAAAAYwaI9AES5kpJSt0eA6GAFHWyggx20sIEONtDBBjrYQAc7aGEDHeA0TyAQCLg9BABYlpW1V+wpAQAAAABAJPJ4pNTUFLfHwGHgSHsAiHJxcTFujwDRwQo62EAHO2hhAx1soIMNdLCBDnbQwgY6wGks2gNAlOOHCxvoYAMdbKCDHbSwgQ420MEGOthABztoYQMd4DQW7QEAAAAAAAAAMIJFewAAAAAAAAAAjGDRHgCinN9f4vYIEB2soIMNdLCDFjbQwQY62EAHG+hgBy1soAOc5gkEAgG3hwAAy7Ky9oo9JQAAAAAAiEQej5SamuL2GDgMHGkPAFHO5+OCORbQwQY62EAHO2hhAx1soIMNdLCBDnbQwgY6wGmxbg8AADi2snILlbWvKHg7ISFOBQXFwduptXxKTY53Y7QaLTY2RkVF/Eml2+hgAx3soIUNdLCBDjbQwQY62EELG+gAp7FoDwBRZsbKbZqcsanKx8f0aalr01s7NxAAAAAAAACqjUV7AIgyQzs3Ub92DSRJG7Lz9MDstXr0/A5q3SBJUtmR9gAAAAAAALCJRXsAiDKpyfFhp79p3SBJaY256Iybiov5U0oL6GADHeyghQ10sIEONtDBBjrYQQsb6ACnsWgPAIAD+CHPBjq448BrbRyIa224h+8JG+hgAx1soIMNdLCDFjbQAU5j0R4AAAfEx8eqsNDv9hg1Hh3cwbU27OJ7wgY62EAHG+hgAx3soIUNdIDTWLQHAMABMTFet0eA6OAWrrVhF98TNtDBBjrYQAcb6GAHLWygA5zGoj0AAACOK661AQAAAADVx6+JAAAAAAAAAAAwgiPtAQBwQFER5z+0gA6o6Q68KHBMjFclJaXB21wU2B3sm2yggw10sIEOdtDCBjrAaSzaAwDgAL+/9NBPwnFHB9R0XBTYJvZNNtDBBjrYQAc7aGEDHeA0Fu0BOGrx4sWaMmWKVq1apczMTD3//PMaOHBg8PFAIKCJEyfq7bff1p49e9StWzeNHz9erVu3liRt3rxZL7zwgr788ktlZWWpUaNGuuiii3T99dfL59t/IcM1a9bokUce0TfffKP69etrxIgRGjNmjNObCwQlJMSpoKDY7TFqPDqgpuOiwDaxb7KBDjbQwQY62EELG+gAp3FOewCOysvLU4cOHfTQQw9V+vjkyZP16quvavz48XrrrbeUmJio0aNHq7CwUJL0008/KRAI6JFHHtFHH32ke+65R2+++ab+8pe/BF8jNzdXo0ePVtOmTTVjxgzdeeedmjRpkqZPn+7INgKV8Xo9bo8A0QFITY5XWuMUpTVOCS7Ul18UOK1xCqfGcQn7JhvoYAMdbKCDHbSwgQ5wGkfaA3BU//791b9//0ofCwQCmjp1qm644Ybg0fdPPPGE0tPTNXfuXF1wwQXq16+f+vXrF/ycFi1aaP369XrjjTd01113SZLef/99FRcX609/+pN8Pp9OOukkrV69Wv/4xz80bNiw47+RAAAAAAAAwBFi0R6AGZs3b1ZmZqbS09OD96WkpKhLly5atmyZLrjggko/b+/evapTp07w9vLly9WjR4+Q0+X07dtXkydPVk5OTshzqyMxcf/r+P0lKioqkc8Xo9jYmOD9xcUlKi4uUXx8rGJi9v8RU1GRX35/qRIS4kJ+M19QUKzS0oASE33yVPiFfX5+sQKBgJKSQk9PkJdXJI/Ho8TEuOB9gYCUn18kr9ejhIT995eWBlRQUKzYWG/w/oSEOMXHx6qw0K+4uBjFxe2fPdK2yefb/9ZVUlIaMdvk8Sjk+dGwTZHYqfzrR9M2SZHVKT5+/34pKckXFdsUqZ3KlbeIhm2K1E7l80bTNkVip7i4GCUl+aJqm8pF0jZ5vZ6Q14mGbYrETuVzRdM2RWqn8n1TNG1TJHYq7xAN24TIwKI9ADMyMzMlSQ0aNAi5v0GDBsrKyqr0czZu3Khp06YFj7KXpKysLDVv3jzkeampqcHHDnfRPj+/SIFA6H1FRWVvlgcqLKz8ivJVnfsuP7+o0vvz8sLvDwQCld5fWlr5/X5/afDrFhQUB2crf0M/UKRsk98ffn8kbFN+ftkPeweK5G2KxE7lP6xG0zaVi5RtKizcv1+qOFckb1Mkd5LCW0iRvU2R2Kl83xRN21QukrbJ6/WEvFdHwzYdKBK2KS+vqNKfmSJ5myKxU/l+KZq2qVykbVPFfVO0bFNFkbJNe/cWVLpvipRt8nikWrU4DWIk4Zz2ACLWjh07dM011+i8887T5Zdf7vY4wEFV9gMenEcHABaxb7KBDjbQwQY62EELG+gAp7FoD8CMhg0bSpKys7ND7s/Ozg4eKV9ux44dGjlypLp27apHH3005LHU1NSwI/PLbx/4OoBTKp5mCe6hAwCL2DfZQAcb6GADHeyghQ10gNNYtAdgRvPmzdWwYUNlZGQE78vNzdWKFSvUtWvX4H3lC/annHKKHn/8cXm9obuy0047TUuWLFFx8f4/a1u4cKHatGlz2KfGAY4VD6cQNIEOACxi32QDHWyggw10sIMWNtABTmPRHoCj9u3bp9WrV2v16tWSyi4+u3r1am3dulUej0cjR47Uiy++qHnz5mnt2rW688471ahRIw0cOFBS2YL9lVdeqSZNmuiuu+7Szp07lZmZGTwfviRdeOGFiouL03333acffvhBs2bN0tSpU3X11Ve7ss0AAAAAAABAdXEhWgCOWrVqlUaOHBm8/fjjj0uShgwZogkTJmjMmDHKz8/Xgw8+qD179qh79+565ZVXFB9fdsGU//3vf9q4caM2btyofv36hbz22rVrJUkpKSmaMmWKHnnkEQ0dOlT16tXTjTfeqGHDhjm0lQAAAAAAAMCRYdEegKN69+4dXFyvjMfj0dixYzV27NhKHx86dKiGDh16yK+Tlpam119//YjnBI5WVm6hsvYVBW97PB4FAvsvXpRay6fU5Hg3RqvR8vOLD/0kAHAY+yYb6GADHWyggx20sIEOcBqL9gAAHAczVm7T5IxNVT4+pk9LXZve2rmBIEkhvzgBACvYN9lABxvoYAMd7KCFDXSA01i0BwDgOBjauYn6tWsgSdqQnacHZq/Vo+d3UOsGSZLKjrSH85KSfMrLKzr0EwHAQeybbKCDDXSwgQ520MIGOsBpLNoDAHAcpCbHh53+pnWDJKU1TnFpoprpwNMUJSTEqaBg/5+2cpoiAAAAAIA1LNoDAICoxWmKAAAAAACRhkV7AAAQtThNEQAAAAAg0rBoDwAAohanKQIQCThHrg10sIEONtDBDlrYQAc4zev2AAAAAABQk3k8HrdHgOhgBR1soIMdtLCBDnAai/YAAAAA4KLExDi3R4DoYAUdbKCDHbSwgQ5wGov2AAAAAAAAAAAYwaI9AAAAAAAAAABGsGgPAAAAAC4KBNyeABIdrKCDDXSwgxY20AFOY9EeAAAAAFyUn1/k9ggQHayggw10sIMWNtABTmPRHgAAAABc5PV63B4BooMVdLCBDnbQwgY6wGks2gMAAACAixIS4tweAaKDFXSwgQ520MIGOsBpLNoDAAAAAAAAAGAEi/YAAAAAAAAAABjBoj0AAAAAuKi0NOD2CBAdrKCDDXSwgxY20AFOY9EeAAAAAFxUUFDs9ggQHayggw10sIMWNtABTmPRHgAAAABcFBvLf5ZZQAcb6GADHeyghQ10gNP4FwcAAAAALvL5Yt0eAaKDFXSwgQ520MIGOsBpLNoDAAAAAAAAAGAEi/YAAAAAAAAAABjBoj0AAAAAuKikpNTtESA6WEEHG+hgBy1soAOcxqI9AAAAALiosNDv9ggQHayggw10sIMWNtABTmPRHgAAAABcFBcX4/YIEB2soIMNdLCDFjbQAU5j0R4AAAAAXMRCgA10sIEONtDBDlrYQAc4jUV7AAAAAAAAAACMYNEeAAAAAAAAAAAjWLQHAAAAABf5/SVujwDRwQo62EAHO2hhAx3gNBbtAQAAAMBFRUUsBFhABxvoYAMd7KCFDXSA01i0BwAAAAAX+Xxc3M4COthABxvoYActbKADnMaiPQAAAAC4KDaWhQAL6GADHWyggx20sIEOcBqL9gAAAAAAAAAAGMGiPQAAAAAAAAAARrBoDwAAAAAuKi7m4nYW0MEGOthABztoYQMd4DQW7QEAAADARSwE2EAHG+hgAx3soIUNdIDTWLQHAAAAABfFx8e6PQJEByvoYAMd7KCFDXSA01i0B4AolFdUolcyNurWd7+RJN367jd6JWOj8oo4OgAAAGtiYvjPMgvoYAMdbKCDHbSwgQ5wGr8mAoAok1dUouumr9D3mbkqDZTdtyvfr8kZG7VgXbb+NqyLknwx7g4JAAAAAACASvFrIgCIMq8v3RyyYF+uNCB9n5mr15dudmcwAAAAAAAAHBKL9gAQZWau3Ba2YF+uNFD2OAAAsKOoyO/2CBAdrKCDDXSwgxY20AFO4/Q4ACq1ceNGff3119q+fbt27dqlxMRE1atXTx06dFDXrl2VkJDg9oioQta+oqN6HAAAOMvvL3V7BIgOVtDBBjrYQQsb6ACnsWgPIGjbtm16++23NXPmTG3fvl2SFAiEHrLt8XgUExOjvn37atiwYTrrrLPk8XjcGBdVSK3l0y+5VS/Mp9byOTgNAAA4lISEOBUUFLs9Ro1HBxvoYAMd7KCFDXSA01i0B6CdO3dq4sSJeuedd+T3+9WqVStddNFFOvXUU9WgQQPVrVtXBQUFysnJ0fr167V8+XJ9+eWXWrBggVq1aqU77rhDAwYMcHsz8P8N6dxEkzM2VnqKHK+n7HEAAGCH18sBEBbQwQY62EAHO2hhAx3gNBbtAWjgwIHyer268sorddFFF6ljx46H/Jy8vDz95z//0dtvv62bb75Zd911l6666qrjPywOaXj35lqwLjvsYrRej9S+YbKGd2/u3nAAAAAAAAA4KBbtAWjkyJH6/e9/r9q1a1f7c5KSkjRkyBANGTJEGRkZys3NPY4T4nAk+WL0t2Fd9PrSzXpr2RbtyverXmKsLu/aTMO7N1eSL8btEQEAAAAAAFAFFu0BaNy4cUf1+X369Dk2g+CYSfLF6Jo+rdS3bX1dOW2ZJl7SSWmNU9weCwAAVIJz5NpABxvoYAMd7KCFDXSA07xuDwAAAAAANVlpZReigePoYAMdbKCDHbSwgQ5wGov2AAAAAOCixESf2yNAdLCCDjbQwQ5a2EAHOI3T4wCQJI0ZM+awP8fj8ejll18+DtMAAADUHB6P2xNAooMVdLCBDnbQwgY6wGks2gOQJH3++eeH/Tke3rUAAAAAAACAY4pFewCSpHnz5rk9AgAAAAAAAFDjsWgPQJLUrFkzt0cAAACokfLzi90eAaKDFXSwgQ520MIGOsBpLNoDAAAAgIOycguVta+oysdTa/mUmhzv4ESQpEAg4PYIEB2soIMdtLCBDnAai/YAJEl5eXkaPHiw6tevr1dffVVxcXGVPq+oqEijRo3Srl279N577ykhIcHhSYHIkVdUoteXbtZby7ZIkm599xtd3rWZhndvriRfjMvTAQDcMmPlNk3O2FTl42P6tNS16a2dGwiSpKQkn/Lyqv5lCpxBBxvoYActbKADnMaiPQBJ0owZM/Tzzz/rj3/8Y5UL9pLk8/l0++23a8SIEXr33Xf1u9/9zsEpgciRV1Si66av0PeZuSr9/wdl7Mr3a3LGRi1Yl62/DevCwr1D+OUJAGuGdm6ifu0aSJI2ZOfpgdlr9ej5HdS6QZKksiPtAQAAUHN53R4AgA3z5s1Tu3bt1LNnz0M+t0ePHmrfvr3mzJnjwGRAZHp96eaQBftypQHp+8xcvb50szuD1TDlvzyZnLFRu/L9kvb/8uS66SuUV1Ti8oQAaqLU5HilNU5RWuOU4EJ96wZJwfs4NQ4AAEDNxqI9AEnSmjVr1KNHj2o/v1u3bvr++++P40RAZJu5clvYgn250kDZ4zj++OUJAAAAACDSsGgPQJK0d+9e1a1bt9rPr1Onjvbu3Xv8BgIi3MEuMFidx3Fs8MsTAEB1ca5iG+hgAx3soIUNdIDTWLQHIEmqVauWdu/eXe3n5+TkqFatWsdvICDCHep8xJyv2Bn88gQAUF0ej8ftESA6WEEHO2hhAx3gNBbtAUiS2rRpoyVLllT7+UuWLFGbNm2O40RAZBvSuYm8Vfxc5/WUPY7jj1+eAACqKzExzu0RIDpYQQc7aGEDHeA0Fu0BSJL69eunH3/8UR999NEhnztr1iytW7dOZ5111vEfDIhQw7s3V/uGyWEL916P1L5hsoZ3b+7OYDUMvzwBAAAAAEQaFu0BSJJGjBih2rVr6/7779eMGTOqfN7MmTN13333qW7duho+fLiDEwKRJckXo78N66IxfVqpXmKsJKleYqzG9Gmlvw3roiRfjMsT1gz88gQAAAAAEGli3R4AgA21a9fWs88+qxtuuEH33XefJk2apJ49e+qEE06QJO3YsUOLFi3Stm3bFB8fr2effVa1a9d2eWrAtiRfjK7p00p929bXldOWaeIlnZTWOMXtsWqU8l+evL50s95atkW78v2qlxiry7s20/DuzfnlCQAgKFDFhcvhLDrYQAc7aGEDHeA0Fu0BBPXp00dvvvmmHnvsMS1ZskT//ve/w57Ts2dP3XfffUpLS3NhQgA4fPzyBABQHfn5XJzcAjrYQAc7aGEDHeA0Fu0BhEhLS9O0adO0adMmff3118rMzJQkNWzYUN26dVPLli1dnhAAAAA49rxej0pLOZTSbXSwgQ520MIGOsBpLNoDqFTLli2PywL94sWLNWXKFK1atUqZmZl6/vnnNXDgwODjgUBAEydO1Ntvv609e/aoW7duGj9+vFq3bh18zosvvqgFCxZo9erViouL05IlS8K+ztatWzV+/Hh99dVXSkpK0uDBg3X77bcrNpbdHgAAAMIlJMQpL48jKd1GBxvoYActbKADnMaFaAE4Ki8vTx06dNBDDz1U6eOTJ0/Wq6++qvHjx+utt95SYmKiRo8ercLCwuBziouLdd555+m3v/1tpa9RUlKi6667TsXFxXrzzTc1YcIEzZw5UxMnTjwu2wQAAAAAAAAcKxxyCsBR/fv3V//+/St9LBAIaOrUqbrhhhuCR98/8cQTSk9P19y5c3XBBRdIkm699VZJ0owZMyp9nS+++ELr1q3TP/7xD6Wmpqpjx44aO3asnnrqKd18883y+XzHYcsAAAAAAACAo8eR9gDM2Lx5szIzM5Wenh68LyUlRV26dNGyZcuq/TrLly9X+/btlZqaGryvb9++ys3N1bp1647pzAAAAIgOnKvYBjrYQAc7aGEDHeA0jrQHYEb5RW8bNGgQcn+DBg2UlZVV7dfJysoKWbCXFLxd/jUOR2Li/iPz/f4SFRWVyOeLUWxsTPD+4uISFReXKD4+VjEx+38fWlTkl99fqoSEOHm9nuD9BQXFKi0NKDHRJ8/+u5WfX6xAIKCkpNC/BsjLK5LH41FiYlzwvkCg7Ar2Xq9HCQn77y8tDaigoFixsd7g/QkJcYqPj1VhoV9xcTGKi9s/e6Rtk8+3/62rpKQ0IrapXEJCXPBzIn2bIrFTxVmjZZvKRUKnnXsKNG3xz3p7+VZJ0tgZqzS8Zwtd3qWpEuO8EblNkd6pXMV9U6RvUyR2qvh60bJNUuR2SkryRd02SZHVye8vCXmdaNimSO0kKeq2KVI7JSX5om6bpMjq5PF4QuaP5G1CZGDRHgAOIT+/KGThVZKKisreLA9UWOgPu08qe6Ov6rUrU9kFbgKBQKX3l5ZWfr/fXxr8ugUFxcHZyt/QDxQp2+T3h98fCdtU/voHPhbJ2xRpnSp+XrRsU0WWtymvqETXTV+h7zNzVX6Q0s68Yr3w2U+au/oX/W1YF0mRtU0VRXInqfJ9UyRvU6R1qjhvtGxTRZG0TbGxXvn9pcH7o2GbDhQJ21TV60TyNkVip9jYsoW/aNqmcpG2TRX3TdGyTRVFyjYVF/tD3iPKRco2eTxSrVrxlT4Omzg9DgAzGjZsKEnKzs4OuT87OzvsyPmDSU1NDTsyv/x2+dcAADjn9aWbQxbsy5UGpO8zc/X60s3uDAYAFVQ8yhHuoYMNdLCDFjbQAU5j0R7AIfn9fuXk5Mjvr/oovWOhefPmatiwoTIyMoL35ebmasWKFeratWu1X+e0007T999/H7L4v3DhQiUnJ+vEE088pjMDAA5t5sptYQv25UoDZY8DAAAAAMrwayIAlSopKdGrr76qGTNmaN26dQoEys7hdtJJJ2nIkCEaMWKEYmMPfxeyb98+bdq0KXh78+bNWr16terUqaOmTZtq5MiRevHFF9WqVSs1b95czz33nBo1aqSBAwcGP2fr1q3KycnR1q1bVVJSotWrV0uSWrZsqVq1aqlv37468cQTdeedd+qOO+5QZmamnn32Wf3ud7+Tz+cLmwkAcHxl7av8T6Sr+ziOrbyiEr2+dLPeWrZFknTru9/o8q7NNLx7cyX5Yg7x2QAAAACONxbtAYTZt2+fRo8erRUrVsjr9apJkybBU86sW7dOf/7zn/Wf//xHU6ZMUVJS0mG99qpVqzRy5Mjg7ccff1ySNGTIEE2YMEFjxoxRfn6+HnzwQe3Zs0fdu3fXK6+8ovj4/edemzhxombOnBm8PXjwYEnS1KlT1bt3b8XExOill17S+PHjNWzYMCUmJmrIkCG69dZbj+J/FQDAkUqt5dMvuVUvzKfW4heqTqns+gK78v2anLFRC9Zl62/DurBwjxqrpCT8XMVwHh1soIMdtLCBDnAai/YAwkycOFHLly/Xb37zG/3hD39Q06ZNg49t3bpVTz/9tD766CNNnDhRd99992G9du/evbV27doqH/d4PBo7dqzGjh1b5XMmTJigCRMmHPTrNGvWTJMnTz6s2QAAx8eQzk00OWNjpafI8XrKHoczqnN9gWv6tHJnOMBlB7tgM5xDBxvoYActbKADnMY57QGEmT17tk499VQ99dRTIQv2ktS0aVM9/fTTOuWUUzRr1iyXJgQARJLh3ZurfcNkeT2h93s9UvuGyRrevbk7g9VAXF8AqFpcHH9lYgEdbKCDHbSwgQ5wGov2AMLs3r1b6enpB31Oenq6cnJyHJoIABDJknwx+tuwLhrTp5XqJZb9oWe9xFiN6dOK07E4jOsLAFVjQcYGOthABztoYQMd4DQW7QGEadWqlbKzsw/6nJ07d6ply5YOTQQAiHRJvhhd06eVJl7SSZI08ZJOuqZPKxbsHXao6wdwfQEAAADAfSzaAwgzcuRIzZo1Sz/88EOlj69du1azZs3SqFGjHJ4MAAAcjSGdm4Sdpqgc1xcAAAAAbOBCtADCtG7dWqeffrouueQSDR48WN27d1dqaqqysrK0dOlSvffee+rbt69atWqlxYsXh3xuz549XZoaAAAcyvDuzbVgXXbYxWi5vgAg+f0lbo8A0cEKOthBCxvoAKexaA8gzJVXXimPx6NAIKC33npLb7/9dvCxQKDsv/Dnz5+v+fPnh33u6tWrHZsTAAAcnvLrC7y+dLPeWrZFu/L9qpcYq8u7NtPw7s05XRFqtKIiFmQsoIMNdLCDFjbQAU5j0R5AmJtuukkeTxV/Ow8AACJa+fUF+ratryunLdPESzoprXGK22MBrvP5YliUMYAONtDBDlrYQAc4jUV7AGFuueUWt0cAAAAAHBUby4KMBXSwgQ520MIGOsBpXIgWAAAAAAAAAAAjWLQHAAAAAAAAAMAITo8DoFLbtm3Tiy++qIULF+qXX35RcXFx2HM8Ho++++47F6YDAAAAjq3iYk57YAEdbKCDHbSwgQ5wGov2AML8/PPPuuyyy7Rnzx6deOKJKioqUtOmTRUfH6+ff/5Zfr9faWlpSknhonUAAACIDizI2EAHG+hgBy1soAOcxulxAISZNGmScnNz9c9//lPvv/++JGno0KGaPXu2PvnkE51zzjnKz8/XxIkTXZ4UAAAAODbi4zmmzQI62EAHO2hhAx3gNBbtAYRZuHCh+vXrp169eoU91qhRIz377LOSpL/85S8OTwYAAAAcHzEx/OexBXSwgQ520MIGOsBp/IsDEGbXrl1q27Zt8HZsbKzy8/ODt30+n9LT0zV//nw3xgMAAAAAAACiFov2AMLUq1cvZJG+bt262rJlS8hzYmJitHfvXqdHAwAAAAAAAKIai/YAwrRu3VqbNm0K3u7cubO++OIL/fzzz5KknTt36j//+Y9atGjh1ogAAADAMVVU5Hd7BIgOVtDBDlrYQAc4jasoAAhz5plnatKkSdqzZ49q166tUaNGaf78+brooovUtm1bbdq0Sbm5ubrlllvcHhUAAAA4Jvz+UrdHqJGycguVta+oysdTa/mUmhzv4ESQ+H6whBY20AFOY9EeQJjhw4erd+/e8nrL/hind+/eeuaZZzRp0iT98MMPatq0qcaNG6fLL7/c5UkBAACAYyMhIU4FBcVuj1HjzFi5TZMzNlX5+Jg+LXVtemvnBoIkvh8soYUNdIDTWLQHECY5OVldunQJue/888/X+eef79JEAAAAwPHl9XrcHqFGGtq5ifq1ayBJ2pCdpwdmr9Wj53dQ6wZJksqOtIfz+H6wgxY20AFOY9EeQJiRI0eqW7duGjdunNujAAAAAIhiqcnxYae/ad0gSWmNU1yaCAAA93EhWgBhVq5cqdJSztcGAAAAAAAAOI0j7QGEadu2rbZs2eL2GDhCFS/mtSE7L+T/S1zMCwAAoDKcqxjYj+8HO2hhAx3gNBbtAYQZMWKEHn30Ua1bt04nnnii2+PgMFV2Ma8HZq8NfszFvAAAAMKVlgbcHgFwTcUDfyrDgT/uYd9kAx3gNBbtAYRp0aKFevXqpcsvv1zDhg1Tp06dlJqaKo8n/MIrPXv2dGFCHEzFi3lJUnx8nAoL9x8VwMW8AAAAwiUm+pSfX/WiJRDNKjvwpyIO/HEP+yYb6ACnsWgPIMyVV14pj8ejQCCgf/zjH5Uu1pdbvXq1g5OhOg68mFdSkk95efxwAQAAcDAH+ZEXiHoVD/zZkJ2nB2av1aPnd1DrBkmSOPDHTeybbKADnMaiPYAwN91000EX6gEAAAAA0ePAA38kqXWDJKU1TnFpIgCo2Vi0BxDmlltucXsEAAAAAAAAoEbyuj0AAHsWL16srVu3HvQ527Zt0+LFix2aCEcjP5+r3AMAABwKPzMBsIh9kw10gNNYtAcQZuTIkZoxY8ZBn/Pee+9p5MiRDk2EoxEIcJV7AACsySsq0SsZG3Xru99Ikm599xu9krFReUUlLk9Wc/EzEwCL2DfZQAc4jUV7AGGq82ZUWlrKee8jRFISF40CAMCSvKISXTd9hSZnbNSufL8kaVe+X5MzNuq66StYuHcJPzMBsIh9kw10gNNYtAdwRDZu3KiUFC5KBAAAcLheX7pZ32fmqvSA4yRKA9L3mbl6felmdwYDAACACVyIFoAk6Z577gm5PW/ePG3ZsiXseaWlpdq2bZuWLFmifv36OTUeAABA1Ji5clvYgn250kDZ49f0aeXsUAAAADCDRXsAkqSZM2cGP/Z4PFq9erVWr15d6XM9Ho86deoUttAPAACAQ8vaV3RUjwMAACC6sWgPQFLZkfVS2fnsBw4cqFGjRlV6odmYmBjVrl1bSUlJTo+II5SXx3/4AwBgSWotn37Jrfr9ObUW5811Az8zAbCIfZMNdIDTWLQHIElq1qxZ8OPHH39cHTt2DLkPkcvj8XClewAADBnSuYkmZ2ys9BQ5Xk/Z43AePzMBsIh9kw10gNO4EC2AMEOGDFFaWlrY/YFAQBs2bNC2bdtcmApHKjExzu0RAABABcO7N1f7hsnyekLv93qk9g2TNbx7c3cGq+H4mQmAReybbKADnMaiPYAwc+bM0Z133qmcnJzgfZs3b9ZFF12k888/X+ecc45uu+02lZSUuDglYFtWbqHW7NirNTv2akN2niRpQ3Ze8L6s3EKXJwQAuCXJF6O/DeuiMX1aqV5i2R8/10uM1Zg+rfS3YV2U5ItxeUIAAAC4idPjAAjzxhtvKCsrS3Xq1Ane9/jjj+uHH37Q6aefrt27d+vjjz9Wnz59dPnll7s4KWDXjJXbNDljU8h9D8xeG/x4TJ+Wuja9tcNTAQCsSPLF6Jo+rdS3bX1dOW2ZJl7SSWmNU9weCwAAAAawaA8gzLp169SvX7/g7dzcXC1YsECDBg3SM888o+LiYg0ZMkTvvvsui/YRgNPuuWNo5ybq165B8HZ8fJwKC4uDt7nIIAAAtvAzEwCL2DfZQAc4jUV7AGFycnKUmpoavL106VL5/X5dcMEFkqS4uDilp6frgw8+cGtEHIb8fK5y74bU5HilJscfcG+CK7MAAIBD42cmABaxb7KBDnAai/YAwiQnJ2v37t3B21999ZW8Xq969OgRvC82Nlb5+fkuTIfD5fV6VFrKYQFuo4M7snILlbWv7AfsitcWKJday1fJL1cAADUR79UALGLfZAMd4DQW7QGEadu2rebPn69x48YpJiZGH374oU455ZSQc9xv3bpVDRo0OMirwIqEhDjl5XFUgNvo4A6uLQAAqC7eqwFYxL7JBjrAaSzaAwhz5ZVXauzYserfv3/wiPpx48aFPGfFihU6+eST3RkQAKrpwGsLJCTEqaCAawsAAAAAAOxi0R5AmF//+td68MEH9c4770iSLrjgAg0dOjT4+KJFi5Sbm6szzzzTrREBoFoOvLZAUpKPI2QAAAAAAKaxaA+gUsOHD9fw4cMrfaxXr15avHixwxPhSHHePRvoYAMdAABV4T0CgEXsm2ygA5zmdXsAAPZMmjTpkIvyS5Ys0aRJkxyaCEej4qlA4B462EAHAEBVeI8AYBH7JhvoAKexaA8gzKRJk/TVV18d9DmLFy/W888/79BEOBqxsezqLaCDDXQAAFSF9wgAFrFvsoEOcBr/4gAckeLiYsXExLg9BqrB5+NMaBbQwQY6AACqwnsEAIvYN9lABziNRXsAlfJ4PFU+VlRUpCVLlqh+/foOTgQAAAAAAABEP35NBECSNGDAgJDb//rXvzRjxoyw55WWlmrXrl0qLCzUZZdd5tR4AAAAAAAAQI3Aoj0ASVIgsP9K6B6PR4FAIOS+crGxsTrxxBN1+umn68Ybb3RyRByhkpJSt0eA6GAFHQAAVeE9AoBF7JtsoAOcxqI9AEnSJ598Evw4LS1No0aN0s033+ziRDhWCgv9bo8A0cEKOgAAqsJ7BACL2DfZQAc4jUV7AGHmzZun2rVruz0GjpG4uBgVF5e4PUaNRwcb6AAAqArvEQAsYt9kAx3gNBbtAYRp1qxZ8GO/36/169crNzdXycnJatOmjWJj2XVEEn64sIEONtABAFAV3iMAWMS+yQY6wGmsvAGo1O7du/XUU0/pww8/VGFhYfD+hIQE/eY3v9Ef/vAH1atXz8UJAQAAAAAAgOjDoj2AMLt379awYcO0ceNG1alTR927d1ejRo2UmZmpVatW6e2339aiRYs0ffp01a1b1+1xAQAAAAAAgKjBoj2AMC+88II2btyo0aNH66abblJSUlLwsfz8fL3wwguaPHmyXnrpJd19990uTorq8Pv5Ez4L6GADHQAAVeE9AoBF7JtsoAOc5nV7AAD2zJs3T7169dIdd9wRsmAvSYmJibr99tvVq1cv/fe//3VpQhyOoiJ+uLCADjbQAQBQFd4jAFjEvskGOsBpLNoDCPPLL7+oa9euB31O165d9csvvzg0EY6Gzxfj9ggQHaygAwCgKrxHALCIfZMNdIDTWLQHECYlJUVbtmw56HO2bNmilJQUhybC0YiN5YcLC+hgAx0AAFXhPQKAReybbKADnMaiPYAwPXv21Mcff6yFCxdW+nhGRoY+/vhj9erVy+HJAAAAAAAAgOjGhWgBhLn55pu1YMECjR49Wv3791fPnj3VoEEDZWdna9GiRfrss8+UkJCgm266ye1RAQAAAAAAgKjCoj2AMCeddJJeeeUV3XPPPfr000/16aefyuPxKBAISJJatmypxx9/XCeddJLLk6I6iou5YI4FdLCBDgCAclm5hcraVxS8HRsbI79///tEai2fUpPj3RgNAIL4+dUGOsBpLNoDqFSPHj00Z84cLV26VKtXr1Zubq6Sk5PVsWNHde/eXR6Px+0RUU38cGEDHWygAwCg3IyV2zQ5Y1OVj4/p01LXprd2biAAqAQ/v9pABziNRXsAVfJ4POrRo4d69Ojh9ig4CvHxsSos9Ls9Ro1HBxvoAAAod37Hxvrvmkxt3JWvQIX7PZJa1UvU+R0buzUaAATx86sNdIDTuBAtgIPy+/364YcftGzZMv3www/y+4/uTWrx4sW6/vrr1bdvX3Xo0EFz584NeTwQCOi5555T37591blzZ1111VXasGFDyHN2796t22+/Xd26dVOPHj107733at++fSHPWbNmjYYPH65OnTqpf//+mjx58lHNHcliYtjVW0AHG+gAACj3nzW/aNPu0AV7SQpI2rQ7X/9Z84sbYwFACH5+tYEOcBr/4gBUavfu3br//vvVo0cPXXTRRRo+fLguuugi9ezZUw888IB27dp1RK+bl5enDh066KGHHqr08cmTJ+vVV1/V+PHj9dZbbykxMVGjR49WYWFh8Dn/93//p3Xr1ukf//iHXnrpJS1ZskQPPvhg8PHc3FyNHj1aTZs21YwZM3TnnXdq0qRJmj59+hHNDAAAgOgzc+U2lR64Yv//lQbKHgcAAHADp8cBEGb37t0aNmyYNm7cqDp16qh79+5q1KiRMjMztWrVKr399ttatGiRpk+frrp16x7Wa/fv31/9+/ev9LFAIKCpU6fqhhtu0MCBAyVJTzzxhNLT0zV37lxdcMEF+vHHH/X555/rnXfeUadOnSRJ999/v6699lrdeeedaty4sd5//30VFxfrT3/6k3w+n0466SStXr1a//jHPzRs2LCj+t8GAAAA0aHiRWiP5HEAAIDjhSPtAYR54YUXtHHjRo0ePVrz58/XlClT9Pjjj+uVV17R/PnzNWbMGG3cuFEvvfTSMf26mzdvVmZmptLT04P3paSkqEuXLlq2bJkkadmyZapdu3ZwwV6S0tPT5fV6tXLlSknS8uXL1aNHD/l8vuBz+vbtq/Xr1ysnJ+eYzhwJioo4754FdLCBDgCAcvUS447qcQBwAj+/2kAHOI0j7QGEmTdvnnr16qU77rgj7LHExETdfvvtWrFihf773//q7rvvPmZfNzMzU5LUoEGDkPsbNGigrKwsSVJWVpbq168f8nhsbKzq1KkT/PysrCw1b9485DmpqanBx+rUqXNYcyUm7l/89/tLVFRUIp8vRrGxMcH7i4tLVFxcovj42JBz3RUV+eX3lyohIU5eryd4f0FBsUpLA0pM9Mmz/27l5xcrEAgoKWn/15SkvLwieTweJVb4j8dAQMrPL5LX61FCwv77S0sDKigoVmysVz5f2W7e55NKSkpVWOhXXFyM4uL2zx6p2yRF1jaVloY+Pxq2KVI7+f3Rt02R1Ck+vmyWhIQ4JSX5omKbIrVTufIW0bBNkdip4utFyzZJkdGpbWotZW/araq0Sa0V8nUjYZsivVO5ivulSN+mSOxUcRuiZZukyO7k80XfNkmRtU1xcbGqcFxgRG8TIgOL9gDC/PLLL/rNb35z0Od07do1ePR7tMvPL1LggPOdFhWVvVkeqKqryRcUFFf52pXJywu/PxAIVHp/aWnl9/v9pfL7i5SQEBfy9cvf0A8USdt0oEjYJp8vNuq2KRI7lf+QHE3bVC5StqmwsDj4eMW5InmbIrmTFN5CiuxtirROFeeNlm2qyPI23TPwJP1h5ipt3BV6MVqPpFb1EnXvwJMqfR3L21QukjuVf90DH4vkbYq0ThVfL1q2qaJI26aK/z0XLdtUUaRsUyAQUH5++GORsk0ej1SrVnylj8MmTo8DIExKSoq2bNly0Ods2bJFKSkpx/TrNmzYUJKUnZ0dcn92dnbwSPnU1FTt3Lkz5HG/36+cnJzg56empgaPzC9Xfrv8dWoSfqNuAx1soAMAoFyLeon614huuja9lRol++T1SI2Sfbo2vZX+NaKbWtRLdHtEAODnVyPoAKexaA8gTM+ePfXxxx9r4cKFlT6ekZGhjz/+WL169TqmX7d58+Zq2LChMjIygvfl5uZqxYoV6tq1q6SyI/z37NmjVatWBZ/z5ZdfqrS0VJ07d5YknXbaaVqyZImKi/f/FnzhwoVq06bNYZ8aBwAAANEryReja/q00kfXna5v7h+oj647Xdf0aaUkX8yhPxkAAOA44fQ4AMLcfPPNWrBggUaPHq3+/furZ8+eatCggbKzs7Vo0SJ99tlnSkhI0E033XTYr71v3z5t2rQpeHvz5s1avXq16tSpo6ZNm2rkyJF68cUX1apVKzVv3lzPPfecGjVqpIEDB0qS2rVrpzPPPFMPPPCAHn74YRUXF+vRRx/VBRdcoMaNG0uSLrzwQj3//PO67777NGbMGP3www+aOnWq7rnnnmPzPxAAAAAAAABwnLBoDyDMSSedpFdeeUX33HOPPv30U3366afyeDwK/P8Tu7ds2VKPP/64TjrppMN+7VWrVmnkyJHB248//rgkaciQIZowYYLGjBmj/Px8Pfjgg9qzZ4+6d++uV155RfHx+8+99tRTT+nRRx/VqFGj5PV6de655+r+++8PPp6SkqIpU6bokUce0dChQ1WvXj3deOONGjZs2JH+TxLRqjonH5xFBxvoAACoCu8RACxi32QDHeA0Fu0BVKpHjx6aM2eOli5dqtWrVys3N1fJycnq2LGjunfvLo/nyM7n1rt3b61du7bKxz0ej8aOHauxY8dW+Zy6devq6aefPujXSUtL0+uvv35EM0ab0tLAoZ+E444ONtABAFAV3iMAWMS+yQY6wGks2gOoksfjUY8ePdSjRw+3R8FRSEz0KT8//Er0cBYdbKADAKAqvEcAsIh9kw10gNNYtAdwULt27dKaNWuCR9qnpaWpXr16bo+Fw3CEfxSBY4wONtABAFAV3iMAWMS+yQY6wGks2gOo1ObNm/XHP/5RCxYsCJ7LXio7+v6ss87Svffeq+bNm7s4IQAAAAAAABB9WLQHEGbTpk367W9/q+zsbLVq1UrdunVTamqqsrKytGzZMn3yySdasWKF3nzzTbVo0cLtcQEAAAAAAICowaI9gDBPPfWUdu7cqYcffliXX355yEVnA4GApk+frocfflhPPvmkJk6c6OKkqI78fK5ybwEdbKADAKAqvEcAsIh9kw10gNNYtAcQJiMjQ+ecc46GDRsW9pjH49EVV1yhBQsWKCMjw4XpcLgqnt4I7qGDDXQAAFSF9wgAFrFvsoEOcJrX7QEA2FNSUqITTzzxoM9p3769SkpKHJoIRyMpyef2CBAdrKADAKAqvEcAsIh9kw10gNNYtAcQ5pRTTtG6desO+pwffvhBp556qkMTAQAAAAAAADUDi/YAwowbN06fffaZ3n777Uofnz59ur744guNGzfO2cEAABEpK7dQa3bs1Zode7UhO0+StCE7L3hfVm6hyxMCAAAAgB2c0x6AJk2aFHZf79699eCDD+rvf/+7unXrptTUVGVlZenrr7/Whg0b1LdvX2VkZKhbt24uTAwAiCQzVm7T5IxNIfc9MHtt8OMxfVrq2vTWDk8FAAAAADaxaA+g0kX7cuvXr9f69evD7v/888/1xRdf6Kabbjqeo+EYyMsrcnsEiA5W0MEdQzs3Ub92Dap8PLUW5wgF4D7eIwBYxL7JBjrAaSzaA9DUqVPdHgHHkcfj4Ur3BtDBBjq4IzU5XqnJ8cHbdABgEfsmABaxb7KBDnAai/YA1KtXL7dHwHGUmBjHUQEG0MEGOthABwAWsW8CYBH7JhvoAKdxIVoAAAAAAAAAAIzgSHsAAAAAcFBWbqGy9pUdrbchOy/k/0tl13moeEopAAAA1Cws2gNAlOO0ezbQwQY62EAH1HQzVm7T5IxNIfc9MHtt8OMxfVrq2vTWDk8F9k0ALGLfZAMd4DQW7QEgyuXnc949C+hgAx1soIN7OMLbhqGdm6hfuwZVPp5ay+fgNCjHvgmAReybbKADnMaiPQBEOa/Xo9JSDgtwGx1soIMNdHAPR3jbkJocH/LLEb4nbKADAIvYN9lABziNRXsAiHIJCVzl3gI62EAHG+jgngOP8E5IiFNBQXHwNkd4u4PvCRvoAMAi9k020AFOY9EeAAAAqCEOPMI7KcnHf4ACAAAAxrBoD+CQ8vPz9cEHH+inn36Sx+NRu3bt9Jvf/EYJCQlujwYAAAAgwuUVlej1pZv11rItkqRb3/1Gl3dtpuHdmyvJF+PydAAAOI9FewAHtXLlSt1www3auXOn6tWrp6KiIuXm5uq5557Tyy+/rI4dO7o9Ig6B8+7ZQAcb6GADHeyghQ10sIEO7sgrKtF101fo+8xclSfYle/X5IyNWrAuW38b1oWFe9Ro7JtsoAOc5nV7AAC2jR8/Xu3bt9enn36qhQsXasmSJXrttdcUCAT08MMPuz0eqqHiuYrhHjrYQAcb6GAHLWyggw10cMfrSzeHLNiXKw1I32fm6vWlm90ZDDCCfZMNdIDTWLQHIEn66KOPKr1/7dq1uvbaa9W4cePgfd27d9egQYP03XffOTUejkJsLLt6C+hgAx1soIMdtLCBDjbQwR0zV24LW7AvVxooexyoydg32UAHOI1/cQAkSXfddZeuv/567dixI+T+xo0b69NPPw25Ly8vT1999ZVOOOEEByfEkfL5OBOaBXSwgQ420MEOWthABxvo4I6sfQe/GPahHgeiHfsmG+gAp7FoD0CSNHPmTO3atUuDBg3Sa6+9Frz/5ptv1r/+9S+df/75uu2223TTTTfp7LPP1tq1a3XTTTe5ODEAAACASJday3dUjwMAEI1YtAcgSTrppJP05ptvauzYsXr66ad1xRVX6Mcff9TQoUP1+uuvKy0tTRs2bNDWrVvVt29fTZ8+XRdffLHbYwMAAACIYEM6N5HXU/ljXk/Z4wAA1DT8bQeAII/Ho5EjR2rgwIEaP368Bg8erGuvvVbXX3+9/vKXv7g9Ho5QSUmp2yNAdLCCDjbQwQ5a2EAHG+jgjuHdm2vBuuywi9F6PVL7hska3r25e8MBBrBvsoEOcBpH2gMI07RpU7388sv605/+pDfeeEMXX3yxvv76a7fHwhEqLPS7PQJEByvoYAMd7KCFDXSwgQ7uSPLF6G/DumhMn1aql1h2XGG9xFiN6dNKfxvWRUm+GJcnBNzFvskGOsBpLNoDqNKFF16ojz76SKeeeqpGjBihhx9+WLm5uW6PhcMUF8d/6FhABxvoYAMd7KCFDXSwgQ7uSfLF6Jo+rTTxkk6SpImXdNI1fVqxYA+IfZMVdIDTWLQHEPTtt99q/Pjxuu666zR+/Hh99913qlevnp544gm9/PLL+vzzz3XBBRdo3rx5bo+Kw8APFzbQwQY62EAHO2hhAx1soAMAi9g32UAHOI1FewCSpE8++USXX365Zs2apV27dmn27Nm67LLL9Omnn0qS+vbtqw8//FDnnXeebr31Vo0dO1bZ2dnuDg0AAAAAAABEGRbtAUiSJk6cqHbt2umTTz7RW2+9pU8++UTt2rXTc889F3xOQkKC7rnnHr3xxhtav369zj//fBcnBgAAAAAAAKIPi/YAJEkbN25U3759lZycLEmqVauW+vbtq40bN4Y9t3Pnzpo5c6ZGjx7t9Jg4An5/idsjQHSwgg420MEOWthABxvoAMAi9k020AFOY9EegCSpVatWysjIUEFBgSSpoKBACxcuVIsWLSp9fkxMjK677jonR8QRKirihwsL6GADHWyggx20sIEONtABNV1eUYleydioW9/9RpJ067vf6JWMjcrje8NV7JtsoAOcFuv2AABsuOWWW3TzzTerf//+atOmjTZs2KCcnBz99a9/dXs0HCWfL4YfMAyggw10sIEOdtDCBjrYQAfUZHlFJbpu+gp9n5mr0kDZfbvy/ZqcsVEL1mXrb8O6KMnHhTjdwL7JBjrAaRxpD0CSNGDAAE2fPl2//vWvVbt2bZ177rmaPn26Bg4c6PZoOEqxsfxwbQEdbKCDDXSwgxY20MEGOqAme33p5pAF+3KlAen7zFy9vnSzO4OBfZMRdIDTONIeQFDnzp3VuXNnt8cAAAAAADho5sptYQv25UoDZY9f06eVs0MBQA3GkfYAAAAAAAA1WNa+oqN6HABwbHGkPYBD2rlzp1auXKm8vDw1b95cnTp1ksfjcXssVFNxMefds4AONtDBBjrYQQsb6GADHVCTpdby6ZfcqhfmU2v5HJwGFbFvsoEOcBqL9gAkSe+9957S0tKUlpYWvC8QCOiJJ57Qq6++qpKS/W9QrVu31pNPPqlTTz3VjVFxmPjhwgY62EAHG+hgBy1soIMNdEBNNqRzE03O2FjpKXK8nrLH4Q72TTbQAU7j9DgAJEl333235s6dG3Lfn//8Z/3jH/9Q7dq1demll2rMmDHq2bOn1q9fr9GjR2vHjh0uTYvDER/P72ctoIMNdLCBDnbQwgY62EAH1GTDuzdX+4bJ8h7wB9Vej9S+YbKGd2/uzmBg32QEHeA0/sUBqNSOHTs0bdo0tWvXTv/617+UmpoafOxf//qXHn/8cf3zn//UXXfd5eKUqI6YGH4/awEdbKCDDXSwgxY20MEGOqAmS/LF6G/Duuj1pZv11rIt2pXvV73EWF3etZmGd2+uJF+M2yPWWOybbKADnMa/OACV+vLLL1VSUqLbb789ZMFekkaNGqWTTz5Zn332mUvTAQAAAACOpSRfjK7p00oTL+kkSZp4SSdd06cVC/YA4AIW7QFUqvzUN6eddlqlj3fp0kVbt251cCIAAAAAAAAg+rFoD6BS8fHxkqSkpKRKH09MTFRpaamTI+EIFRX53R4BooMVdLCBDnbQwgY62EAHABaxb7KBDnAa57QHELRo0SJNmjRJkrRhwwZJ0pYtW9SuXbuw5+7YsUN169Z1cDocKb+fX65YQAcb6GADHeyghQ10sIEOACxi32QDHeA0Fu0BBC1atEiLFi0KuW/+/PmVLtqvWrVKbdq0cWo0HIWEhDgVFBS7PUaNRwcb6GADHeyghQ10sIEOACxi32QDHeA0Fu0BSJKmTp1a6f3169cPu+/bb79VcXGx+vbte7zHwjHg9XrcHgGigxV0sIEOdtDCBjrYQAcAFrFvsoEOcBqL9gAkSb169ar2c0855RR98sknx3EaAAAAAAAAoGbiQrQAAAAAAAAAABjBkfYAKlVcXKyff/5Ze/fulcfjUYMGDdSsWTO3x8IR4Lx7NtDBBjrYQAc7aGEDHWygAwCL2DfZQAc4jUV7ACFmzZqlN954Q8uWLVNJSUnIY3Xr1tUFF1ygMWPGqHHjxi5NiMNVWhpwewSIDlbQwQY62EELG+hgAx0AWMS+yQY6wGmcHgeAJKm0tFTjxo3T7bffrsWLF8vv9ysQCCgQCKhJkyY68cQTtW/fPk2bNk0XXnihMjIy3B4Z1ZSY6HN7BIgOVtDBBjrYQQsb6GADHQBYxL7JBjrAaSzaA5AkTZ06VR9//LHOOeccvffee1qyZInee+89DRw4ULm5uXr22We1ZMkSPfHEE4qLi9ONN96on3/+2e2xUQ0eLnJvAh1soIMNdLCDFjbQwQY6ALCIfZMNdIDTWLQHIEl699131b59e/31r39VWlqakpOTlZaWpueee04nnHCCnnzySfl8Pl100UWaOnWqSkpK9PLLL7s9NgAAAAAAABBVWLQHIEnatGmT0tPT5fWG7hZiYmLUp08fLVmyJHhfu3btdPbZZ+t///uf02MCAAAAAAAAUY1FewCSJJ/Ppz179lT62N69e8MuStu6dWtlZmY6MRqOUn4+V7m3gA420MEGOthBCxvoYAMdAFjEvskGOsBpLNoDkCSdcsop+u9//6vt27eH3L99+3b997//Vfv27UPu3717t2rVquXkiDhCgQBXubeADjbQwQY62EELG+hgAx0AWMS+yQY6wGmxbg8AwIbf//73uvbaa3XxxRfr8ssvV7NmzbR582a98847ys3N1YgRI0Ke/8033+jEE090aVocjqQkn/Lyitweo8ajgw10sIEOdtDCBjrYQAcAFrFvsoEOcBqL9gAkSf369dO9996rp556SpMnT5bH41EgEFBMTIxuuOEGXXjhhcHn5ubm6pRTTtEZZ5zh4sQAAAAAAABA9GHRHkDQyJEjdd555+mzzz5TVlaW6tWrpzPOOEPNmzcPeV5ycrIeffRRl6YEAAAAAAAAoheL9gBCNGrUSJdeeqnbYwAAAAAAAAA1EheiBYAox3n3bKCDDXSwgQ520MIGOthABwAWsW+ygQ5wGov2ABDlPB6P2yNAdLCCDjbQwQ5a2EAHG+gAwCL2TTbQAU5j0R4AolxiYpzbI0B0sIIONtDBDlrYQAcb6ADAIvZNNtABTmPRHoA5ubm5+uMf/6izzz5bnTt31hVXXKGVK1cGH8/KytLdd9+tvn37qkuXLho9erQ2bNgQ8hqFhYV6+OGH1bt3b3Xt2lW33HKLsrKyHN4SAAAAAAAA4PCwaA/AnPvvv18LFy7UE088oQ8++EBnnHGGrr76au3YsUOBQEA33XSTfv75Z73wwguaOXOmmjVrpquvvlp5eXnB1/jTn/6k+fPn69lnn9Wrr76qX375RTfffLOLWwUAAAAAwMFl5RZqzY69wf/7btuekNtZuYVujwjAAbFuDwAAFRUUFGjOnDl64YUX1LNnT0nSLbfcovnz5+v111/X4MGDtXz5cn344Yc66aSTJEnjx4/XGWecoY8++kiXXXaZ9u7dq3fffVdPPfWU+vTpI6lsEX/QoEFavny5TjvtNLc2zxWBgNsTQKKDFXSwgQ520MIGOthABwAWzFi5TZMzNlX5+Jg+LXVtemvnBoIk3iPgPBbtAZji9/tVUlKi+Pj4kPvj4+P19ddfa9CgQcHb5bxer3w+n5YuXarLLrtMq1atUnFxsdLT04PPadeunZo2bVojF+3z87nKvQV0sIEONtDBDlrYQAcb6ADAgqGdm6hfuwaSpA3ZeXpg9lo9en4HtW6QJElKreVzc7wai/cIOI1FewCmJCcnq2vXrnrhhRfUtm1bpaam6sMPP9Ty5cvVsmVLtW3bVk2bNtXTTz+tRx55RImJifrnP/+p7du3KzMzU1LZOe/j4uJUu3btkNdu0KBB8DmHIzFx/w9Ffn+JiopK5PPFKDY2Jnh/cXGJiotLFB8fq5iY/WceKyryy+8vVUJCnLze/VebLygoVmlpQImJPlW8CH1+frECgYCSkkJ/EMvLK5LH4wm5+E0gUPaDg9frUULC/vtLSwMqKChWbKxXPl+sPB6PAoGASkpKVVjoV1xcjOLi9s8eidtULpK26cDZo2GbIrGTx+PRvn2FUbVNUuR18nrL9kvRtE2R2unA2aNhmyKxk99fqqIif1RtUyR2Kv+ZKZq2qVykbFO5hIS44GtF+jZFYqeK2xAt2yRFTqeGHo9Sk+OVlOQLzpnWrI5a10mI2G2Khk4Hzh7J24TI4AmU/xcTAFRhwIABGjVqlEaOHOnI19u0aZPuvfdeLV68WDExMTr55JPVunVrffvtt5o9e7ZWrVql++67T2vWrFFMTIz69Okjr9erQCCgV155RR988IHuuecerVq1KuR1L730UvXu3Vt33HHHYc2TlbU3ov8ULinJp7w8jgpwGx1soIMNdLCDFjbQwQY6uG/Njr26ctoyvTqiq9Iap7g9To1FBztoYUekv0d4PFJqKv+GIglH2gM4pC1btmjPnj2Ofb2WLVtq2rRpysvLU25urho1aqRx48apRYsWkqRTTz1V//73v7V3714VFxerfv36uuyyy3TqqadKklJTU1VcXKw9e/aEHG2fnZ2thg0bOrYdAAAAAAAAwOHyHvopAOCOpKQkNWrUSDk5Ofriiy80YMCAkMdTUlJUv359bdiwQatWrQo+fuqppyouLk4ZGRnB5/7000/aunVrjTufPQAAAAAAACILR9oDMOfzzz9XIBBQmzZttGnTJj3xxBNq27athg4dKkmaPXu26tevr6ZNm2rt2rX605/+pIEDB6pv376SyhbzL7nkEk2YMEF16tRRcnKyHnvsMXXt2rVGLtpXPD8o3EMHG+hgAx3soIUNdLCBDgCAqvAeAaexaA/AnL179+qZZ57R9u3bVbduXZ177rm67bbbFBdXdsGWzMxMTZgwIXi6m4svvlg33nhjyGvce++98nq9uvXWW1VUVKS+ffvqoYcecmNzXFdQUOz2CBAdrKCDDXSwgxY20MEGOgAAqsJ7BJzGoj2AEJMmTar0/kWLFoU95vF4dNNNNx3zGQYNGqRBgwZV+fjIkSMPeVHc+Ph4PfTQQzV2ob6i2Fiv/P5St8eo8ehgAx1soIMdtLCBDjbQAQBQFd4j4DQW7QGEONii/aJFi0LuO16L9ji2fL5Y+f2Re5X7aEEHG+hgAx3soIUNdLCBDgCAqvAeAaexaA8gxLx580JuBwIBDRw4UKNGjTrk0e0AAAAAAAAAjg6L9gBCNGvWrNL7U1JSqnwMAAAAAAAAwLHhdXsAAMDxVVLCefcsoIMNdLCBDnbQwgY62EAHAEBVeI+A01i0B4AoV1jod3sEiA5W0MEGOthBCxvoYAMdAABV4T0CTmPRHgCiXFxcjNsjQHSwgg420MEOWthABxvoAACoCu8RcBqL9gAO6fHHH9fAgQPdHgNHiB8ubKCDDXSwgQ520MIGOthABwBAVXiPgNO4EC2AQxoyZIjbIwAAAAAAAAA1AkfaAwAAAAAAAABgBIv2ABDl/P4St0eA6GAFHWyggx20sIEONtABAFAV3iPgNBbtASDKFRXxw4UFdLCBDjbQwQ5a2EAHG+gAwIq8ohK9krFRt777jSTp1ne/0SsZG5XHfso1vEfAaSzaA0CU8/m4YI4FdLCBDjbQwQ5a2EAHG+gAwIK8ohJdN32FJmds1K58vyRpV75fkzM26rrpK1i4dwnvEXAai/YAEOViY/nhwgI62EAHG+hgBy1soIMNdABgwetLN+v7zFyVBkLvLw1I32fm6vWlm90ZrIbjPQJOY9EeAAAAAAAAMGDmym1hC/blSgNljwOIfizaAwAAAAAAAAZk7Ss6qscBRAcW7QEc1L59+/Ttt99qyZIlbo+CI1RczDkPLaCDDXSwgQ520MIGOthABwAWpNbyHdXjOD54j4DTWLQHUKnNmzfrhhtuUK9evXTppZdq5MiRwceWLl2qQYMG6auvvnJxQlQXP1zYQAcb6GADHeyghQ10sIEOACwY0rmJvJ7KH/N6yh6H83iPgNNYtAcQZuvWrRo2bJg+++wzDRgwQKeddpoCgf0n1evSpYt27dqljz76yMUpUV3x8bFujwDRwQo62EAHO2hhAx1soAMAC4Z3b672DZPDFu69Hql9w2QN797cncFqON4j4DQW7QGE+etf/6qcnBy9+uqrmjhxos4444yQx2NjY9WjRw99/fXXLk2IwxETw67eAjrYQAcb6GAHLWyggw10AGBBki9GfxvWRWP6tFK9xLKF4nqJsRrTp5X+NqyLknwxLk9YM/EeAafxLw5AmM8//1y/+tWv1K1btyqf07RpU+3YscPBqQAAAAAAiH5Jvhhd06eVJl7SSZI08ZJOuqZPKxbsgRqERXsAYXJyctSsWbODPicQCKioiKvWAwAAAAAAAMcSi/YAwqSmpmrjxo0Hfc7333+vJk24AE4kKCryuz0CRAcr6GADHeyghQ10sIEOAICq8B4Bp7FoDyBMenq65s+frzVr1lT6+JIlS/Tll1+qf//+Dk+GI+H3l7o9AkQHK+hgAx3soIUNdLCBDgCAqvAeAaexaA8gzA033KCEhASNGDFCL774YvCo+wULFujZZ5/VNddco3r16mn06NEuT4rqSEiIc3sEiA5W0MEGOthBCxvoYAMdAABV4T0CTot1ewAA9jRv3lxTpkzRbbfdpueee04ej0eBQEDXX3+9AoGAmjZtqueee06NGjVye1RUg9frcXsEiA5W0MEGOthBCxvoYAMdAABV4T0CTmPRHkClunTpojlz5mj+/PlasWKFcnJylJycrM6dO2vAgAHy+XxujwgAAAAAAABEHRbtAVQpNjZWv/rVr/SrX/3K7VEAAAAAAACAGoFz2gMIM3LkSL333nsHfc6///1vjRw50pmBcFQKCordHgGigxV0sIEOdtDCBjrYQAcAQFV4j4DTWLQHEGbRokXavHnzQZ+zdetWLV682KGJcDRKSwNujwDRwQo62EAHO2hhAx1soAMAoCq8R8BpLNoDOCL5+fmKjeUMW5EgMZHrD1hABxvoYAMd7KCFDXSwgQ4AgKrwHgGnseIGQFLZkfMV7d27N+w+SSopKdH27dv1n//8R82aNXNqPBwFDxe5N4EONtDBBjrYQQsb6GADHQAAVeE9Ak5j0R6AJOmcc86R5/+/C3k8Hk2dOlVTp06t8vmBQEB33nmnU+MBAAAAAAAANQKL9gAkSYMHD5bH41EgENB7772ntLQ0dezYMex5Xq9XderU0emnn65+/fq5MCkAAACAaJGVW6isfUWSpA3ZeSH/X5JSa/mUmhzvymwAALiFRXsAkqQJEyYEP160aJGGDh2qkSNHujgRjpX8fK5ybwEdbKCDDXSwgxY20MEGOrhjxsptmpyxKeS+B2avDX48pk9LXZve2uGpACAU7xFwGov2AMJ88sknbo+AYygQ4Cr3FtDBBjrYQAc7aGEDHWyggzuGdm6ifu0aVPl4ai0u/gjAfbxHwGks2gNAlEtK8ikvr8jtMWo8OthABxvoYActbKCDDXRwR2pyfMjpb+gAwCL2TXAai/YAKpWbm6vXXntNCxcu1C+//KKiovA3J4/Ho7lz57owHQAAAAAA0YfrPACQWLQHUImdO3fqiiuu0KZNm5ScnKzc3FylpKSouLhYBQUFkqRGjRopNpZdCAAAAAAAxwrXeQAgsWgPoBJ//etftWnTJv35z3/WRRddpI4dO2rUqFG6+eabtXLlSj322GOKiYnR3//+d7dHBQAAAAAgahx4nYeEhDgVFOy/CCrXeQBqBq/bAwCwZ8GCBerTp48uvvhieTyekMc6d+6syZMna8uWLZo0aZJLE+JwcN49G+hgAx1soIMdtLCBDjbQwQY6oKZLTY5XWuOU4P+1rpMQcptT47iDfROcxqI9gDCZmZnq2LFj8HZMTIwKCwuDt+vUqaN+/fpp9uzZboyHw3TgL17gDjrYQAcb6GAHLWyggw10sIEOQCi+J2ygA5zGoj2AMCkpKfL7/cHbtWvX1vbt20Oek5ycrOzsbKdHwxFITIxzewSIDlbQwQY62EELG+hgAx1soAMQiu8JG+gAp7FoDyBMixYttGXLluDtk08+WQsXLtSuXbskSQUFBZo/f76aNGni1ogAAAAAAABAVGLRHkCYM844QxkZGcrPz5ckDRs2TNnZ2br44ot166236je/+Y02bdqkoUOHujwpAAAAAAAAEF1YtAcQ5oorrtBjjz0WXLQ/99xzdeeddyo/P19z5sxRVlaWrrrqKo0ePdrlSVEdgYDbE0CigxV0sIEOdtDCBjrYQAcb6ACE4nvCBjrAaZ5AgH92AKqnpKREu3btUoMGDWrURViysvbyBg0AAAAgamXlFiprX5EkaUN2nh6YvVaPnt9BrRskSZJSa/mUmhzv5ogAjoLHI6Wmprg9Bg4Di/YAcAiRvmjv9XpUWhrBGxAl6GADHWyggx20sIEONtDBBjq44+WFGzQ5Y1OVj4/p01LXprd2biAE8T1hQ6R3YNE+8sS6PQAA20pLS5WVlSW/31/p402bNnV4IhyuhIQ45eUVuT1GjUcHG+hgAx3soIUNdLCBDjbQwR1DOzdRv3YNgrcTEuJUUFAcvJ1ay+fGWBDfE1bQAU5j0R5Apf7973/r73//u3788UeVlJRU+hyPx6PvvvvO4ckAAAAAAMdSanJ8yOlvkpJ8LFACgItYtAcQZsqUKXrqqacUGxurHj16qGHDhoqNZXcBAAAAAAAAHG+swgEIM23aNDVu3FhvvvmmTjjhBLfHwVGK5PPuRRM62EAHG+hgBy1soIMNdLCBDjbQwQ5a2EAHOM3r9gAA7Nm5c6fOPfdcFuyjRMVzUcI9dLCBDjbQwQ5a2EAHG+hgAx1soIMdtLCBDnAai/YAwrRu3Vp79uxxewwcI7Gx7OotoIMNdLCBDnbQwgY62EAHG+hgAx3soIUNdIDT+BcHIMxVV12lefPmacuWLW6PgmPA5+NMaBbQwQY62EAHO2hhAx1soIMNdLCBDnbQwgY6wGn8iwMQZsiQIcrOztYVV1yh4cOHKy0tTcnJyZU+t2fPng5PBwAAAAAAAEQvFu0BVCo3N1e5ubmaOHHiQZ+3evVqhyYCAAAAAAAAoh+L9gDCPPfcc/rb3/6m+vXra9CgQWrYsKFiY9ldRKqSklK3R4DoYAUdbKCDHbSwgQ420MEGOthABztoYQMd4DRPIBAIuD0EAFv69eunWrVq6Z133lGtWrXcHsd1WVl7xZ4SAAAAAABEIo9HSk1NcXsMHAYuRAsgzJ49e3TWWWexYB8l4uJi3B4BooMVdLCBDnbQwgY62EAHG+hgAx3soIUNdIDTWLQHEKZ9+/b65Zdf3B4Dxwg/XNhABxvoYAMd7KCFDXSwgQ420MEGOthBCxvoAKexaA8gzPXXX6958+bp22+/dXsUAAAAAAAAoEbhypIAwuzZs0fp6em64oordPHFFystLU3JycmVPnfw4MHODgcAAAAAAABEMS5ECyBMWlqaPB6PKu4ePB5PyHMCgYA8Ho9Wr17t9HiOi/QL0fp8MSoqKnF7jBqPDjbQwQY62EELG+hgAx1soIMNdLCDFjZEegcuRBt5ONIeQJjHH3/c7RFwDEXyDxbRhA420MEGOthBCxvoYAMdbKCDDXSwgxY20AFO40h7ADgEjrTHsUAHG+hgAx3soIUNdLCBDjbQwQY62EELGyK9A0faRx4uRAsAUS42lqvcW0AHG+hgAx3soIUNdLCBDjbQwQY62EELG+gAp7FoD8Cc3Nxc/fGPf9TZZ5+tzp0764orrtDKlSuDj+/bt0+PPPKI+vXrp86dO2vQoEF64403Ql6jsLBQDz/8sHr37q2uXbvqlltuUVZWltObAgAAAAAAABwWzmkPQGlpafJ6vfroo4/Upk2b4IVoD8Xj8ei777475vPcf//9+uGHH/TEE0+oUaNGev/993X11Vdr1qxZaty4sSZMmKAvv/xSTz75pJo1a6b//e9/evjhh9WoUSMNGDBAkvSnP/1JCxYs0LPPPquUlBQ9+uijuvnmm/Xmm28e83kBAAAAAACAY4VFewDq2bOnJCkxMTHkthsKCgo0Z84cvfDCC8E5brnlFs2fP1+vv/66brvtNi1btkyDBw9W7969JUnDhg3T9OnTtXLlSg0YMEB79+7Vu+++q6eeekp9+vSRVLaIP2jQIC1fvlynnXaaW5vniuLiyD3vXjShgw10sIEOdtDCBjrYQAcb6GADHeyghQ10gNNYtAegV1999aC3neT3+1VSUqL4+PiQ++Pj4/X1119Lkrp27apPPvlEl156qRo1aqSvvvpK69ev1z333CNJWrVqlYqLi5Wenh78/Hbt2qlp06Ys2sM1dLCBDjbQwQ5a2EAHG+hgAx1soIMdtLCBDnAai/YATElOTlbXrl31wgsvqG3btkpNTdWHH36o5cuXq2XLlpKkBx54QA888ID69eun2NhYeTwePfbYY8Ej87OyshQXF6fatWuHvHaDBg2UmZl52DMlJvqCH/v9JSoqKpHPFxNyIZri4hIVF5coPj5WMTH7LxdSVOSX31+qhIQ4eb37TzlUUFCs0tKAEhN9qngmovz8YgUCASUl7f+akpSXVySPx6PExLjgfYGAlJ9fJK/Xo4SE/feXlgZUUFCs2FivfL5YxcZ65feXqqSkVIWFfsXFxSgubv/skbhN5SJpmw587WjYpkjsFBvr1Z49BVG1TVLkdYqLK9svRdM2RWqn5OR4lZYGomqbIrFT+deNpm2KxE7lPzNF0zaVi6RtSkyMCzlVZzRsUyR2ionxau/egqjapkjtVL5viqZtisROKSkJKikpjYptQmTwBAKBwKGfBqAmGTBggEaNGqWRI0dW+ZzXXntNf//73zVv3rxj/vU3bdqke++9V4sXL1ZMTIxOPvlktW7dWt9++61mz56tKVOm6K233tJdd92lpk2basmSJXr66af1/PPPKz09XR988IHuuecerVq1KuR1L730UvXu3Vt33HHHYc2TlbVXkbynTEryKS+vyO0xajw62EAHG+hgBy1soIMNdLCBDjbQwQ5a2BDpHTweKTU1xe0xcBg40h5AmC1btmjPnj0Hfc6ePXu0devW4/L1W7ZsqWnTpikvL0+5ublq1KiRxo0bpxYtWqigoEB/+ctfNGnSJJ111lmSyi6ku3r1ak2ZMkXp6elKTU1VcXGx9uzZE3K0fXZ2tho2bHhcZgYAAAAAAACOBe+hnwIA4fbu3Sufz3foJx6FpKQkNWrUSDk5Ofriiy80YMAA+f1+FRcXh/zJrCTFxMSo/A+HTj31VMXFxSkjIyP4+E8//aStW7fWuPPZAwAAAAAAILJwpD0ASdLixYtDbm/ZsiXsPkkqKSnR9u3b9cEHH6h169bHZZbPP/9cgUBAbdq00aZNm/TEE0+obdu2Gjp0qOLi4tSrVy89+eSTSkhIUNOmTbV48WK99957uvvuuyVJKSkpuuSSSzRhwgTVqVNHycnJeuyxx9S1a9cauWhfVOR3ewSIDlbQwQY62EELG+hgAx1soIMNdLCDFjbQAU7jnPYAJJWdYubAo9erEggE5PF49Pjjj2vw4MHHfJZZs2bpmWee0fbt21W3bl2de+65uu2225SSUnb+tczMTD3zzDP64osvlJOTo6ZNm2rYsGG66qqrgttQWFioCRMm6KOPPlJRUZH69u2rhx566IhOjxPp57QHAAAAAAA1F+e0jzws2gOQJP31r3+Vx+NRIBDQ888/r549e6p3795hz/N6vapTp45OP/10tWvXzoVJnRfpi/YJCXEqKCh2e4wajw420MEGOthBCxvoYAMdbKCDDXSwgxY2RHoHFu0jD6fHASBJuuWWW4IfL1q0SJdccslxOYoezvN6q/cXFDi+6GADHWyggx20sIEONtDBBjrYQAc7aGEDHeA0Fu0BhHn11VfdHgEAAAAAAACokbxuDwDAnm3btikjI0P5+fnB+0pLS/Xyyy/riiuu0FVXXaVPP/3UvQEBAAAAAACAKMU57QGEufvuuzV//nx98cUXiouLkyQ9//zz+utf/xp8TkxMjN544w117tzZrTEdE+nntPd6PSotjeANiBJ0sIEONtDBDlrYQAcb6GADHWyggx20sCHSO3BO+8jDkfYAwnz99dfq06dPcME+EAjotddeU9u2bfXpp5/q7bffVmJioqZMmeLypKiOSP7BIprQwQY62EAHO2hhAx1soIMNdLCBDnbQwgY6wGks2gMIk52draZNmwZvr169Wjt37tSIESN0wgknqFOnTho4cKC++eYbF6dEdSUm+tweAaKDFXSwgQ520MIGOthABxvoYAMd7KCFDXSA01i0BxCmtLRUFc+ctWjRInk8Hp1++unB+xo3bqysrCw3xsNh8nCRexPoYAMdbKCDHbSwgQ420MEGOthABztoYQMd4DQW7QGEadq0qVauXBm8PXfuXDVs2FBt27YN3peZmanatWu7MR4AAAAAAAAQtWLdHgCAPeeee65eeukl3XrrrfL5fFq6dKl+97vfhTznxx9/VPPmzV2aEAAAAAAAAIhOLNoDCDN69Gj973//05w5cyRJHTp00C233BJ8fMuWLVq5cqWuvfZat0bEYcjPL3Z7BIgOVtDBBjrYQQsb6GADHWyggw10sIMWNtABTvMEKp64GgAq+P777yVJ7dq1U0xMTPD+LVu2aPXq1erUqZMaN27s1niOycraK/aUAAAAAAAgEnk8Umpqittj4DCwaA8AhxDpi/ZJST7l5RW5PUaNRwcb6GADHeyghQ10sIEONtDBBjrYQQsbIr0Di/aRh9PjAKhSZmam5syZo/Xr1ys/P19//OMfJUk7d+7U5s2b1b59eyUkJLg8JQAAAAAAABA9vG4PAMCm1157TQMGDNCjjz6qadOmacaMGcHHsrOzNWzYML3//vsuTggAAAAAAABEHxbtAYT55JNP9Oijj6p9+/Z68cUX9dvf/jbk8ZNOOkkdOnTQ3LlzXZoQAAAAAAAAiE6cHgdAmClTpqhp06aaOnWqkpKS9O2334Y9p3379lqyZIkL0+FwRfJ596IJHWyggw10sIMWNtDBBjrYQAcb6GAHLWygA5zGkfYAwqxevVr9+/dXUlJSlc9p3LixsrOzHZwKR8rj8bg9AkQHK+hgAx3soIUNdLCBDjbQwQY62EELG+gAp7FoDyBMIBBQbOzB/xAnOztbPp/PoYlwNBIT49weAaKDFXSwgQ520MIGOthABxvoYAMd7KCFDXSA01i0BxCmTZs2Wrp0aZWP+/1+LVmyRO3bt3dwKgAAAAAAACD6sWgPIMyFF16o7777TpMmTQp7rKSkRH/+85/1888/a/Dgwc4PBwAAAAAAAEQxLkQLIMyIESP0ySef6Pnnn9cHH3wQPA3O2LFjtWrVKm3ZskVnnHGGLr30UpcnRXUEAm5PAIkOVtDBBjrYQQsb6GADHWyggw10sIMWNtABTvMEAvyzAxCuqKhIzz//vN58803l5OQE709OTtZvf/tb3XLLLTXmnPZZWXt5gwYAAAAAABHJ45FSU1PcHgOHgUV7AAcVCAT0008/KScnR8nJyWrXrp1iYmLcHstRkb5o7/V6VFoawRsQJehgAx1soIMdtLCBDjbQwQY62EAHO2hhQ6R3YNE+8nBOewAH5fF41K5dO3Xr1k3t27evcQv20SAhgavcW0AHG+hgAx3soIUNdLCBDjbQwQY62EELG+gAp7FoDwAAAAAAAACAESzaAwAAAAAAAABgBIv2ABDlIvm8e9GEDjbQwQY62EELG+hgAx1soIMNdLCDFjbQAU7jQrQAcAiRfiFaAAAAAABQc3Eh2sjDkfYAEOViY9nVW0AHG+hgAx3soIUNdLCBDjbQwQY62EELG+gAp/EvDgCinM8X6/YIEB2soIMNdLCDFjbQwQY62EAHG+hgBy1soAOcxqI9gCOSnZ2tNWvWuD0GAAAAAAAAEFVYtAcgSerYsaOef/75kPtmzZqlm2++udLnv/HGGxoyZIgTowEAAAAAAAA1Bov2ACRJgUBAB16X+qefftK8efNcmgjHSklJqdsjQHSwgg420MEOWthABxvoYAMdbKCDHbSwgQ5wGov2ABDlCgv9bo8A0cEKOthABztoYQMdbKCDDXSwgQ520MIGOsBpLNoDQJSLi4txewSIDlbQwQY62EELG+hgAx1soIMNdLCDFjbQAU5j0R4Aohw/XNhABxvoYAMd7KCFDXSwgQ420MEGOthBCxvoAKexaA8AAAAAAAAAgBEs2gMAAAAAAAAAYESs2wMAsOO1117TrFmzgrd37dolSRo0aFDYc8sfg31+f4nbI0B0sIIONtDBDlrYQAcb6GADHWyggx20sIEOcJonEAgE3B4CgPvS0tIO+3M8Ho9Wr159HKaxJStrr9hTAgAAAACASOTxSKmpKW6PgcPAoj0AHEKkL9r7fDEqKuKoALfRwQY62EAHO2hhAx1soIMNdLCBDnbQwoZI78CifeThnPYAEOViY7nKvQV0sIEONtDBDlrYQAcb6GADHWyggx20sIEOcBqL9gCOyD333KOTTz7Z7TEAAAAAAACAqMKiPYAjxtm1AAAAAAAAgGOLRXsAiHLFxZF73r1oQgcb6GADHeyghQ10sIEONtDBBjrYQQsb6ACnsWgPAFGOHy5soIMNdLCBDnbQwgY62EAHG+hgAx3soIUNdIDTWLQHgCgXHx/r9ggQHayggw10sIMWNtDBBjrYQAcb6GAHLWygA5zGoj0ARLmYGHb1FtDBBjrYQAc7aGEDHWyggw10sIEOdtDCBjrAafyLAwAAAAAAAADACP62A4AkqUuXLof1fL/ff5wmAQAAAAAAAGouFu0BSJIaNGjg9gg4ToqK+AWLBXSwgQ420MEOWthABxvoYAMdbKCDHbSwgQ5wmicQCATcHgIALMvK2iv2lAAAAAAAIBJ5PFJqaorbY+AwcE57AIhyCQlxbo8A0cEKOthABztoYQMdbKCDDXSwgQ520MIGOsBpLNoDQJTzej1ujwDRwQo62EAHO2hhAx1soIMNdLCBDnbQwgY6wGmc0x6AJOm99947os8bPHjwMZ0DAAAAAAAAqMlYtAcgSbr77rvl8ZT95jgQCAQ/rkr5c1i0BwAAAAAAAI4dFu0BBMXExKh///7q0qWL26PgGCooKHZ7BIgOVtDBBjrYQQsb6GADHWyggw10sIMWNtABTmPRHoAk6bzzztMnn3yiTz75RBs3btTQoUM1ePBg1a9f3+3RcJRKSwNujwDRwQo62EAHO2hhAx1soIMNdLCBDnbQwgY6wGmeQCDAvzoAkqScnBz9+9//1syZM7V69WrFxsbq7LPP1iWXXKJ+/frJ662Z167OytqrSN5TJib6lJ9f5PYYNR4dbKCDDXSwgxY20MEGOthABxvoYActbIj0Dh6PlJqa4vYYOAws2gOo1Lfffqt33nlHs2bN0p49e5SamqohQ4Zo6NChat26tdvjOSrSF+2TknzKy4vcHy6iBR1soIMNdLCDFjbQwQY62EAHG+hgBy1siPQOLNpHHhbtARxUUVGR5syZoxkzZujLL7+UJL388svq27evy5M5h0V7HAt0sIEONtDBDlrYQAcb6GADHWyggx20sCHSO7BoH3lq5rkuAFSbz+dTr1691KtXLzVo0EClpaUqLCx0eywAAAAAAAAgKnGkPYBK+f1+zZs3T++++67+97//qaSkRJ06ddIll1yiiy++WImJiW6P6JhIP9Le4/GIXb376GADHWyggx20sIEONtDBBjrYQAc7aGFDpHfgSPvIE+v2AABsWbt2rd555x19+OGH2rVrl+rVq6cRI0bokksuUfv27d0eD0cgkn+wiCZ0sIEONtDBDlrYQAcb6GADHWyggx20sIEOcBqL9gAkSa+99preffddrV69Wl6vV2eccYYuvfRSnXPOOYqNZVcRySL93HvRgg420MEGOthBCxvoYAMdbKCDDXSwgxY20AFOYyUOgCTp0UcfVWxsrM4++2wNGTJEjRs3liR99913B/28zp07OzEeAAAAAAAAUCOwaA8gyO/3a/78+Zo/f361P2f16tXHZZbc3Fw999xzmjt3rrKzs3XyySfr3nvvDf6SoEOHDpV+3h133KFrrrlGkrR79249+uijmj9/vrxer84991zdd999qlWr1nGZGQAAAAAAADhaLNoDkCQNGTLE7RFC3H///frhhx/0xBNPqFGjRnr//fd19dVXa9asWWrcuLG++OKLkOd/9tlnuu+++/TrX/86eN///d//KTMzU//4xz9UXFyse++9Vw8++KCefvpppzcHAAAAAAAAqBZPgCspADCmoKBA3bp10wsvvKCzzjoreP/QoUN15pln6rbbbgv7nBtvvFH79u3Tv/71L0nSjz/+qEGDBumdd95Rp06dJJUt7F977bVasGBB8PQ/1ZGVtVfsKQEAAAAAqBmycguVta/qc9in1vIpNTnewYmOjscjpaamuD0GDgNH2gMwx+/3q6SkRPHxoW+A8fHx+vrrr8Oen5WVpQULFmjChAnB+5YtW6batWsHF+wlKT09XV6vVytXrtSvfvWr47cBxng8Hq50bwAdbKCDDXSwgxY20MEGOthABxvoYAct3DFj5TZNzthU5eNj+rTUtemtnRsINQ6L9gDMSU5OVteuXfXCCy+obdu2Sk1N1Ycffqjly5erZcuWYc+fOXOmatWqpXPPPTd4X1ZWlurXrx/yvNjYWNWpU0eZmZmHNU9ioi/4sd9foqKiEvl8MYqNjQneX1xcouLiEsXHxyomxhu8v6jIL7+/VAkJcfJ6PcH7CwqKVVoaUGKiT579dys/v1iBQEBJSfu/piTl5RXJ4/EoMTEueF8gIOXnF8nr9SghYf/9paUBFRQUKzbWK58vVnFxMSouLlFJSakKC/2Ki4tRXNz+2SNxm8pF0jYlJcWF/MVGNGxTJHaKi4tRTk5+VG2TFHmdfL6y/VI0bVOkdkpJiZffXxpV2xSJnbxej3JzC6NqmyKxU/nPTNG0TeUiaZtq1fKptHT/D03RsE2R2Kn8Z6Zo2qZI7VS+b4qmbYqETr/r3UrnnnKCCov8Wp+5Tw/MXqs/Dz5FbVPLrpGXElv2uZG0TYgsnB4HgEaPHq2xY8cGL/J6OPLy8jRt2jTVqlVLv/vd747ZTJs2bdK9996rxYsXKyYmRieffLJat26tb7/9VrNnzw557nnnnaczzjhDDzzwQPC+l156STNnztR//vOfkOf26dNHt9xyi4YPH17tWSL99DhJST7l5VX9Z31wBh1soIMNdLCDFjbQwQY62EAHG+hgBy3ct2bHXl05bZleHdFVaY0j8xQznB4n8nCkPQDt2rVLw4YNU48ePTR48GCde+65Skk5+M58+fLlev/99/XRRx+psLAw5NQ0x0LLli01bdo05eXlKTc3V40aNdK4cePUokWLkOctWbJE69ev17PPPhtyf2pqqnbu3Blyn9/vV05Ojho2bHhMZwUAAAAAAACOFRbtAWjGjBmaOXOmJk2apPvuu08PPPCA2rRpo1NOOUUNGjRQ7dq1VVhYqJycHK1fv16rVq3Svn37FBMTo0GDBmncuHFq2rTpcZktKSlJSUlJysnJ0RdffKE77rgj5PF33nlHp5xyitLS0kLu79q1q/bs2aNVq1bp1FNPlSR9+eWXKi0tPaK/KIhkkfxXAtGEDjbQwQY62EELG+hgAx1soIMNdLCDFkDNxOlxAAQFAgEtWLBAM2bM0FdffaWcnJyw53i9XnXo0EEDBw7UZZddpkaNGh2XWT7//HMFAgG1adNGmzZt0hNPPKH4+Hi99tpriosrOwdcbm6u+vbtq7vuuku//e1vw17jmmuuUXZ2th5++GEVFxfr3nvv1amnnqqnn376sGaJ9NPjAAAAAACAI8PpceAGjrQHEOTxeHTWWWfprLPOkiT9+OOP2r59u3bv3q34+HjVr19fJ5100iFPnXMs7N27V88884y2b9+uunXr6txzz9Vtt90WXLCXpI8++kiBQEC/+c1vKn2Np556So8++qhGjRolr9erc889V/fff/9xn90ar9cTcjEvuIMONtDBBjrYQQsb6GADHWyggw10sIMWQM3EkfYAcAiRfqQ9Fy6ygQ420MEGOthBCxvoYAMdbKCDDXSwgxbu40h7uMHr9gAAAAAAAAAAAKAMi/YAAAAAAAAAABjBoj0ARDnOf2gDHWyggw10sIMWNtDBBjrYQAcb6GAHLYCaiUV7AIhyBQXFbo8A0cEKOthABztoYQMdbKCDDXSwgQ520AKomVi0B4AoFxvLrt4COthABxvoYActbKCDDXSwgQ420MEOWgA1E9/5ABDlfL5Yt0eA6GAFHWyggx20sIEONtDBBjrYQAc7aAHUTCzaAwAAAAAAAABgBL+uAxAmEAjoyy+/1PLly5WZmSlJatiwoU477TSdfvrp8ng8Lk8IAAAAAAAARCcW7QGEWLBggR577DFt3rxZUtkCvqTgQn2LFi10//33q1+/fq7NiMNTUlLq9ggQHayggw10sIMWNtDBBjrYQAcb6GAHLYCaiUV7AEHvvPOOHnzwQZWWlqpLly46/fTT1aRJE0nStm3b9OWXX2rFihW6/vrr9dhjj2no0KEuT4zqKCz0uz0CRAcr6GADHeyghQ10sIEONtDBBjrYQQugZmLRHoAkaePGjRo/frzq1Kmjp59+Wunp6ZU+LyMjQ7fffrseeugh9ejRQy1btnR4UhyuuLgYFReXuD1GjUcHG+hgAx3soIUNdLCBDjbQwQY62EELoGbiQrQAJEn//Oc/FQgE9NJLL1W5YC9Jffr00UsvvaSSkhL985//dG5AHLG4uBi3R4DoYAUdbKCDHbSwgQ420MEGOthABztoAdRMLNoDkCQtXLhQp59+urp06XLI53bu3Fl9+vTR//73PwcmAwAAAAAAAGoOFu0BSJJ27Nihjh07Vvv5HTt21I4dO47jRAAAAAAAAEDNw6I9AEmS1+tVSUn1z5NXUlIir5ddSCTw+zn/oQV0sIEONtDBDlrYQAcb6GADHWyggx20AGomVtwASJKaN2+uZcuWVfv5y5YtU7NmzY7jRDhWior4Ic8COthABxvoYActbKCDDXSwgQ420MEOWgA1E4v2ACRJZ555plasWKH58+cf8rmffvqpli9frn79+jkwGY6Wz8eFiyyggw10sOH/tXfv8VVWd9r/rzsJwYSEk0EsigecESwWERCMT0dBsCCKJKCCTUFAxUPBgoiPWCygIMeqw0mFwmAQwQOEk4BVPPYRwQKiVEIZLYcUBCEYEk5JNvv3B7IhBdufM7LXl3t93q8Xr0nuTZ0rXq61km/2vjc92EEXNtCDDfRgAz3YQA920AXgJ4b2ACRJPXv2VEpKih566CHNnTtX0Wj0pL8TjUY1b9489e/fX6mpqerRo0f8g+IHS0rimzwL6MEGerCBHuygCxvowQZ6sIEebKAHO+gC8FOS6wAAbMjIyNAzzzyjvn37avDgwZowYYKaN2+un/zkJ5KkHTt2aNWqVdq5c6eSkpI0YcIE1apVy3FqAAAAAAAAIFwY2gOIue666/Tyyy9rxIgRWrt2rRYuXHjS37nyyiv129/+VpdffrmDhAAAAAAAAEC4MbQHUMHll1+u2bNna8uWLVq7dq2++eYbSVKtWrV05ZVX6sILL3ScED9UWRlvXGQBPdhADzbQgx10YQM92EAPNtCDDfRgB10AfmJoD+CULrzwwn86oB80aJAWLFigL774Io6p8D/BN3k20IMN9GADPdhBFzbQgw30YAM92EAPdtAF4CfeiBbA/9ip3qwW9lSuzO9nLaAHG+jBBnqwgy5soAcb6MEGerCBHuygC8BPDO0BIOQSE9nqLaAHG+jBBnqwgy5soAcb6MEGerCBHuygC8BPrHwAAAAAAAAAAIxgaA8AAAAAAAAAgBEM7QEg5EpLy11HgOjBCnqwgR7soAsb6MEGerCBHmygBzvoAvATQ3sACLny8iOuI0D0YAU92EAPdtCFDfRgAz3YQA820IMddAH4ibegBiBJuuKKK37Q3y8v57f9Z4qzzqqkQ4fKXMfwHj3YQA820IMddGEDPdhADzbQgw30YAddAH5iaA9AknT22We7joDTJCEhcB0Bogcr6MEGerCDLmygBxvowQZ6sIEe7KALwE8M7QFIkt555x3XEQAAAAAAAADvcU97AAAAAAAAAACMYGgP4H+ktLRUJSUlrmPg/wfuf2gDPdhADzbQgx10YQM92EAPNtCDDfRgB10AfmJoD0CS1Lp1a+Xm5la49uGHH2rkyJGn/PtTpkzRVVddFY9o+F86ciTqOgJED1bQgw30YAdd2EAPNtCDDfRgAz3YQReAnxjaA5Ak/f3vf9e+ffsqXFu3bt1Jg3yceVJSkl1HgOjBCnqwgR7soAsb6MEGerCBHmygBzvoAvATQ3sACLkgcJ0AEj1YQQ820IMddGEDPdhADzbQgw30YAddAH5iaA8AAAAAAAAAgBEM7QEAAAAAAAAAMIKhPQCE3MGDZa4jQPRgBT3YQA920IUN9GADPdhADzbQgx10AfiJoT0AhFw0GnUdAaIHK+jBBnqwgy5soAcb6MEGerCBHuygC8BPSa4DALBj0aJFWrduXezzrVu3SpLuueeek/7uscdgX2pqsg4cKHUdw3v0YAM92EAPdtCFDfRgAz3YQA820IMddAH4iaE9gJgtW7Zoy5YtJ13/8MMPT/n3A97GHgAAAAAAAPhRMbQHIElavny56wgAAAAAAACA9xjaA5AknXfeea4jAAAAAAAAAN7jjWgBIOS4/6EN9GADPdhAD3bQhQ30YAM92EAPNtCDHXQB+ImhPQCEHO89YAM92EAPNtCDHXRhAz3YQA820IMN9GAHXbhzoDSiP6zYogfnfi5JenDu5/rDii06UBpxnAw+YGgPACGXklLJdQSIHqygBxvowQ66sIEebKAHG+jBBnqwgy7cOFAa0b2vrNPUFVu092C5JGnvwXJNXbFF976yjsE9TjuG9gAAAAAAAADwnZdXF+iv35ToSLTi9SNR6a/flOjl1QVugsEbDO0BAAAAAAAA4Dt5n+04aWB/zJHo0ceB04mhPQCEXPR7vtFAfNGDDfRgAz3YQRc20IMN9GADPdhAD3bQhRu79//zNwD+V48D/1sM7QEg5A4e5JsJC+jBBnqwgR7soAsb6MEGerCBHmygBzvowo2MKsn/q8eB/y2G9gAQcgkJgesIED1YQQ820IMddGEDPdhADzbQgw30YAdduJHd6Cf6vn/1CcHRx4HTiaE9AITcWWdVch0Bogcr6MEGerCDLmygBxvowQZ6sIEe7KALN37Z9HxdWivtpMF9QiBdWitNv2x6vptg8AZDewAAAAAAAAD4Tmpyol7ocoXuybxQNVKSJEk1UpJ0T+aFeqHLFUpNTnScEGGX5DoAAAAAAAAAAFiSmpyouzMv1M/r1VS3l9ZqfOefqUHtdNex4AmeaQ8AIXfkSNR1BIgerKAHG+jBDrqwgR5soAcb6MEGerCDLgA/MbQHgJA7dKjMdQSIHqygBxvowQ66sIEebKAHG+jBBnqwgy4APzG0B4CQS0piq7eAHmygBxvowQ66sIEebKAHG+jBBnqwgy4AP7HyASDkkpN5+xIL6MEGerCBHuygCxvowQZ6sIEebKAHO+gC8BNDewAAAAAAAAAAjGBoDwAAAAAAAACAEQztASDkIpEjriNA9GAFPdhAD3bQhQ30YAM92EAPNtCDHXQB+ImhPQCE3OHD5a4jQPRgBT3YQA920IUN9GADPdhADzbQgx10AfiJoT0AhFylSomuI0D0YAU92EAPdtCFDfRgAz3YQA820IMddAH4iaE9AIQc3+TZQA820IMN9GAHXdhADzbQgw30YAM92EEXgJ8Y2gMAAAAAAAAAYARDewDmlJSUaMSIEWrVqpUaNWqkrl276rPPPqvwd7788kvdd999atq0qRo3bqzOnTtr+/btsccPHz6sYcOGqUWLFrryyivVt29f7d69O95fCgAAAAAAAPCDMLQHYM7gwYP10UcfacyYMVq0aJH+z//5P+rZs6d27twpSdq6dat++ctfql69epo5c6YWLlyoBx54QJUrV479M5566im9++67evbZZzVz5kzt2rVLffr0cfUlOVVeHnEdAaIHK+jBBnqwgy5soAcb6MEGerCBHuygC8BPQTQajboOAQDHHDp0SE2aNNHkyZPVsmXL2PVOnTrpP/7jP9S/f3/1799fSUlJGjt27Cn/GcXFxcrMzNS4cePUrl07SUefmd++fXu98soraty48Q/KtHt3sdgpAQAAAADwT/7OYnV7aa1m/upKNaid7jrO/0gQSBkZZ2Z2X/FMewCmlJeXKxKJVHjWvCRVrlxZa9as0ZEjR/Tee+/poosu0l133aXMzEzddtttevvtt2N/d/369SorK9M111wTu3bJJZeoTp06+vTTT+P1pZiRnMwbF1lADzbQgw30YAdd2EAPNtCDDfRgAz3YQReAn5JcBwCAE6WlpenKK6/U5MmTVa9ePWVkZGjx4sX69NNPdcEFF2jPnj06cOCApk6dqn79+unhhx/Whx9+qD59+ig3N1fNmzfX7t27ValSJVWtWrXCP/vss8/WN99884MzpaQkxz4uL4+otDSi5OREJSUd/+aprCyisrKIKldOUmLi8d+HlpaWq7z8iM46q5ISEoLY9UOHynTkSFQpKckKjl/WwYNlikajSk09/v9Tkg4cKFUQBEpJqRS7Fo1KBw+WKiEh0FlnHb9+5EhUhw6VKSkpQcnJSapUKVFJSRFFIkd0+HC5KlVKVKVKx7OfiV/TMWfS13S0h+NZwvA1nYk9VaqUqNLSg6H6mqQzr6ej/6xIqL6mM7mnE/9+WL6mM62nhIRApaXh+prOxJ6Ofc8Upq/pmDPpa0pOTqqQMQxf05nY07HvmcL0NZ2pPR3bm8L0NZ1pPR1z1lmVYl/Dmfw14czA7XEAmLN161Y99thj+uSTT5SYmKif/vSnuuiii/SXv/xFM2bM0LXXXqubb75Zv//972P/m/vuu0+pqal6+umntWjRIg0aNEjr16+v8M+99dZb1aJFCw0cOPAH5TnTb4+TmpqsAwdKXcfwHj3YQA820IMddGEDPdhADzbQgw30YAdduMftceACz7QHYM4FF1ygl156SQcOHFBJSYnOOecc9evXT3Xr1lWNGjWUlJSkSy65pML/5pJLLtHq1aslSRkZGSorK9O+ffsqPNt+z549qlWrVly/FgAAAAAAAOCH4J72AMxKTU3VOeeco6KiIv3pT39S69atlZycrJ/97Gf629/+VuHvbt68Weedd54k6fLLL1elSpW0YsWK2ONfffWVtm/f/oPfhDYMysoiriNA9GAFPdhAD3bQhQ30YAM92EAPNtCDHXQB+Iln2gMw58MPP1Q0GtXFF1+srVu3asyYMapXr546deokSbrrrrvUv39/XXXVVWrRooU+/PBDvfvuu8rNzZUkpaenq3Pnzho1apSqVaumtLQ0DR8+XFdeeSVDezhDDzbQgw30YAdd2EAPNtCDDfRgAz3YQReAnxjaAzCnuLhYTz/9tL7++mtVr15dv/jFL9S/f39VqnT0DVtuuOEGDR06VFOmTNHw4cN18cUXa/z48WrWrFnsn/HYY48pISFBDz74oEpLS/Xzn/9cQ4YMcfUlOVW5cpIOHy53HcN79GADPdhAD3bQhQ30YAM92EAPNtCDHXQB+Ik3ogWAf4E3osWPgR5soAcb6MEOurCBHmygBxvowQZ6sIMu3OONaOEC97QHAAAAAAAAAMAIhvYAAAAAAAAAABjB0B4AQq60lPsfWkAPNtCDDfRgB13YQA820IMN9GADPdhBF4CfGNoDQMiVlx9xHQGiByvowQZ6sIMubKAHG+jBBnqwgR7soAvATwztASDkzjqrkusIED1YQQ820IMddGEDPdhADzbQgw30YAddAH5iaA8AIZeQELiOANGDFfRgAz3YQRc20IMN9GADPdhAD3bQBeAnhvYAAAAAAAAAABjB0B4AAAAAAAAAACMY2gNAyB06VOY6AkQPVtCDDfRgB13YQA820IMN9GADPdhBF4CfGNoDQMgdORJ1HQGiByvowQZ6sIMubKAHG+jBBnqwgR7soAvATwztASDkUlKSXUeA6MEKerCBHuygCxvowQZ6sIEebKAHO+gC8BNDewAIuSBwnQASPVhBDzbQgx10YQM92EAPNtCDDfRgB10AfmJoDwAAAAAAAACAEQztAQAAAAAAAAAwgqE9AITcwYNlriNA9GAFPdhAD3bQhQ30YAM92EAPNtCDHXQB+ImhPQCEXDQadR0Bogcr6MEGerCDLmygBxvowQZ6sIEe7KALwE8M7QEg5FJTk11HgOjBCnqwgR7soAsb6MEGerCBHmygBzvoAvATQ3sAAAAAAAAAAIxgaA8AAAAAAAAAgBEM7QEAAAAAAAAAMIKhPQCE3IEDpa4jQPRgBT3YQA920IUN9GADPdhADzbQgx10AfiJoT0AhFwQBK4jQPRgBT3YQA920IUN9GADPdhADzbQgx10AfiJoT0AhFxKSiXXESB6sIIebKAHO+jCBnqwgR5soAcb6MEOugD8lOQ6AAAAAAAAAABYsbvksHbvP3pros17DlT4v5KUUSVZGWmVnWSDHxjaAwAAAAAAAMB35n22Q1NXbK1w7fGlG2Mf35N5gXpfc1GcU8EnDO0BIOSiUdcJINGDFfRgAz3YQRc20IMN9GADPdhAD3bQhRudGv1E115yduzzypUr6fDhstjnGVWSXcSCR4JolOUPAP/M7t3FfKMEAAAAAADOSEEgZWSku46BH4A3ogWAkEtICFxHgOjBCnqwgR7soAsb6MEGerCBHmygBzvowgZ6QLwxtAeAkDvrrEquI0D0YAU92EAPdtCFDfRgAz3YQA820IMddGEDPSDeGNoDAAAAAAAAAGAEQ3sAAAAAAAAAAIxgaA8AIXfkCO+iawE92EAPNtCDHXRhAz3YQA820IMN9GAHXdhAD4i3IBqN8l8dAPwTu3cXi50SAAAAAACciYJAyshIdx0DPwDPtAeAkEtKYqu3gB5soAcb6MEOurCBHmygBxvowQZ6sIMubKAHxBv/xQFAyCUnJ7mOANGDFfRgAz3YQRc20IMN9GADPdhAD3bQhQ30gHhjaA8AAAAAAAAAgBEM7QEAAAAAAAAAMIKhPQCEXCRyxHUEiB6soAcb6MEOurCBHmygBxvowQZ6sIMubKAHxFsQjUajrkMAgGW7dxeLnRIAAAAAAJyJgkDKyEh3HQM/AM+0B4CQq1Qp0XUEiB6soAcb6MEOurCBHmygBxvowQZ6sIMubKAHxBtDewAIOb65sIEebKAHG+jBDrqwgR5soAcb6MEGerCDLmygB8QbQ3sAAAAAAAAAAIxgaA8AAAAAAAAAgBEM7QEg5MrLI64jQPRgBT3YQA920IUN9GADPdhADzbQgx10YQM9IN6CaDQadR0CACzbvbtY7JQAAAAAAOBMFARSRka66xj4AXimPQCEXHIyb5hjAT3YQA820IMddGEDPdhADzbQgw30YAdd2EAPiDeG9gAQcklJfHNhAT3YQA820IMddGEDPdhADzbQgw30YAdd2EAPiDeG9gAAAAAAAAAAGJHkOgAAWBcErhP874XhawgDerCBHmygBzvowgZ6sIEebKAHG+jBDrqw4Uzu4UzO7iveiBYAAAAAAAAAACO4PQ4AAAAAAAAAAEYwtAcAAPSJ2PkAAEp+SURBVAAAAAAAwAiG9gAAAAAAAAAAGMHQHgAAAAAAAAAAIxjaAwAAAAAAAABgBEN7AAAAAAAAAACMYGgPAAAAAAAAAIARDO0BAAAAAAAAADCCoT0AAAAAAAAAAEYwtAcAAAAAAAAAwAiG9gAAAAAAAAAAGMHQHgAAAAAAAAAAIxjaAwCA0Nq2bZs++eQTHTp0qML1//f//p+jRP4pKyvTiy++qNzcXJWXl2vJkiW6//779eyzz6q0tNR1PACAY/n5+crPz5ckbd68WTNmzNCKFSscpwKA44qKilxHgIcY2gNAyMyfP18TJ07UX/7ylwrXX3jhBUeJ/FNaWqqJEydq0KBBWr58eYXHnnzySUep/LNw4ULddttteuKJJ9S2bVutXbs29ti4ceMcJvPL8OHD9cknn+iDDz7QI488oiVLlqhDhw7asmWLxo4d6zqeV4qLi/XUU09p5MiRKikp0R/+8AfdcsstGjhwID+MxhFnhA2sBxtmzpyp+++/X/fcc49mzJih/v37629/+5uGDh2qOXPmuI7nDdaDDUuXLo19XFhYqN69e6tp06bq1q2btm/f7jCZXzZs2KCOHTsqOztbmzZtUu/evXXttdeqZcuWsV8wAvHA0B4AQmTcuHF69dVXtXfvXt1777168cUXY48tW7bMYTK/DBs2TF9++aX+/d//XePGjdNTTz0Ve2zNmjUOk/ll2rRpmj9/vhYtWqSRI0eqf//+sWfuRaNRx+n8sWbNGk2cOFGTJk3Se++9p7Fjx6p9+/YaPXq0Pv74Y9fxvPL4448rGo1q//79uv/++7Vt2zY9+eSTysjI0MiRI13H8wZnhA2sBxteffVVLV68WHPnztXTTz+tSZMmadiwYZo9ezZD+zhiPdgwZcqU2MdPP/20Lr30Ui1btkzXX3+9RowY4TCZX0aMGKG+ffuqW7du6t27t9q3b69169Zp8ODBGjNmjOt48EiS6wAAgB/P+++/r7lz5yo5OVn33Xef7r//fh06dEj33nsvQ8o4+uyzz7Rw4UIFQaCuXbvqoYce0u9+9zs98cQT9BBH0WhU5557riTpmmuu0QsvvKD7779fTz75pIIgcJzOH0lJR7/drFy5surWrauUlBRJUnJyshITE11G886XX36pZ599VpFIRNdcc43+67/+S0lJSWrUqJFuueUW1/G8wRlhA+vBhsTERFWpUkVVqlTRBRdcoDp16kiSatasyVkdR6wHG048Az777DPl5eUpMTFRPXv2VF5ensNkfikpKVGbNm0kSePHj1dWVpYkqU2bNpowYYLDZPANz7QHgBCJRqNKTk6WJNWqVUszZszQu+++q8mTJ/ODTxxFIpHYv+/U1FRNmDBBhYWFGjx4sONkfolGoyopKYl9Xr9+fU2ZMkWPP/44LzGOo2g0qkgkIkmaPHly7Hp5eXnsOuLj2C9QEhMT9ZOf/CT2eRAESkjgx4J44YywgfVgw4nnQN++fSs8xvuexA/rwYbDhw9r48aNys/PVxAEFZ7cwM9y8XPiL09atGjxvY8Bpxu7LwCESEpKigoKCmKfp6Wladq0afrggw+0adMmh8n8UrNmTf31r3+NfV6pUiU9++yzKioq0saNGx0m88vtt9+u9evXV7j2b//2b5o6daoaNmzoKJV/hg4dqvLycknSeeedF7u+fft2devWzVUsLwVBEBuCvfbaa7Hrhw4d4ofQOOKMsIH1YEPXrl1jv2Bv27Zt7PqXX36ppk2buorlHdaDDYcPH9YDDzygBx54QMXFxfr6668lHX3PAX55Ej8ZGRmxfWn06NGx67t27VLlypVdxYKHgig7MACExscff6zq1aurQYMGFa4fOHBAubm5uu+++xwl88tf//pXVa5cWRdeeGGF65FIJPYmnLBj6dKluvHGG13H8N7YsWM1cOBA1zFCraCgQLVr11alSpUqXN++fbs2btyoVq1aOUrmF84IG1gPZxbO6tOL9WDbwYMHtXv3btWtW9d1FK8VFxeruLg4dhsv4HTjV3UAECJXX331SQN76ejL708c2I8dOzaesbxz6aWXnjSMkY6+5PjEYQwDShtOfNMvuPPRRx+5jhB6559//kkDGUmqU6dOhYEMe9PpxRlhA+vhzMJZfXqxHuzKy8tTSkoKA3vH8vLylJ6ezsAeccXQHgA8xHDMhv/+7/92HQHi3pRW0IMd7E020IMN9GADZ4QNrIf4y83NdR0Boge4wdAeADzEDz7Acbyxlw30AAD4PpwR8BU/t9lAD3CBoT0AeIgffAAAAADAth49eriOANED3GBoDwAAvMYzZ2ygBwDA9+GMgE+GDh0a+zgrK+uka4gPeoBrDO0BwEP84GNDQgLHsAX9+/d3HQGSpk+f7joCvsPeZAM92EAPNnBW28B6iI9169addG3t2rUOkviNHuBaEGVyAwDeKSwsVM2aNV3HCL3t27efdK1q1apKS0tzkMZf3bp1O+mWUFWrVlXjxo3VvXt3JScnO0rmlwYNGpzUQ3p6uho3bqzf/e53Ov/88x0l8w97kw30YAM92MBZbQPrwa0lS5bojTfe0KpVq9SiRYvY9eLiYpWWlmr27NkO0/mDHmAFQ3sACCGGYzZcffXVKioqUlJSkiSpvLxcqampOvfcczVu3DhddtlljhP6YfTo0dq4caOysrIUBIHmz5+vCy+8UIWFhUpPT9eTTz7pOqIXJk+erEgkottvv12S9Nprr6msrExnn3223n//fU2bNs1xQn+wN9lADzbQgw2c1TawHtzKz8/XF198oQkTJujBBx+MXU9LS1NmZia/PIkTeoAVDO0BIIQYjtkwbtw41atXT9nZ2YpGo1q4cKH++te/qkmTJpo2bRrP0oiTrl27atasWUpMTJQklZWVKScnRy+//LI6dOigpUuXOk7oh06dOmnevHmnvHbzzTdr8eLFjpL5h73JBnqwgR5s4Ky2gfVgw4mvii4qKlK1atUcJ/ITPcA1bkgGACH09ttvq2/fvqpdu7Zq166tPn366MMPP1T37t21c+dO1/G88ac//UmdOnVSEARKSEhQVlaWVqxYoTZt2qikpMR1PG/s3bu3witPgiCIPYuscuXKDpP5Zf/+/SosLIx9XlhYqP3790tS7Bl9iA/2JhvowQZ6sIGz2gbWgw0n3sa0R48e7oJ4jh7gGj8hAUAIHRuOHftGg+GYG6Wlpdq8ebMuuugiSdLmzZt1+PBhSbyRVzxlZmbqnnvuUYcOHSRJixcv1tVXX639+/dzj9w46tmzp2655RZde+21ko4OBu6//37t379fTZo0cZzOL+xNNtCDDfRgA2e1DawHe7g5hg30ABeY3ABACDEcs+Ghhx5Sly5d1KBBA0nSxo0bNXz4cO3fv1/t27d3nM4fgwcP1iuvvKLly5dLklq1aqUuXbooKSlJr776quN0/ujatauaNGmilStXSjr6jKVLL71UkvS73/3OZTTvsDfZQA820IMNnNU2sB7sueCCC1xHgOgBbnBPewAIqb/+9a+x4ViLFi1iwzHEV2FhoT799FNJUuPGjSu8zBIAXGFvsoEebKAH4DjWgx2lpaW80sQAeoArDO0BAEDoLVmyRPn5+bGXeEvSoEGDHCbyz549ezR+/Hht3LixQg95eXkOUwEArOCsBo7Kz8/Xww8/rH379umDDz7Q+vXrtWTJEj3yyCOuo3mFHuAaNyUDgBDas2ePhgwZoq5duyo7Ozv2B/G1efNm3X333fr5z3+u5s2bx/4gvoYPH66FCxdq3rx5CoJAb775poqLi13H8s5vf/tbnXfeedq7d6/69u2rc845R9ddd53rWF5ib7KBHmygBxs4q21gPdgwYsQIDR06NPYqh4YNG+r99993nMo/9ADXGNoDQAgxHLPh8ccfV6dOnVStWjXNnDlTbdu2Va9evVzH8s7KlSs1efJk1axZU48++qhee+017dy503Us7+zYsUO9e/dWcnKyrr/+ek2YMEErVqxwHctL7E020IMN9GADZ7UNrAcb9u/fr2bNmsU+D4JAlSpVcpjIT/QA1xjaA0AIMRyzoaSkRO3bt1dCQoLq16+vJ554Qm+//bbrWN5JTk5WQkKCgiBQWVmZatWqpV27drmO5Z1jP+QkJydr7969SkpK0t69ex2n8hN7kw30YAM92MBZbQPrwYakpCSVlZUpCAJJR3+2S0hgfBdv9ADXklwHAAD8+P5xOFatWjWGYw4kJR09ZqtUqaKCggLVqlWLHhyoUqWKDh48qKZNm2rgwIHKyMjQWWed5TqWdy666CLt3btXt9xyi26//XalpaWpYcOGrmN5ib3JBnqwgR5s4Ky2gfVgQ05Ojn7961+rsLBQzzzzjBYtWqSHH37YdSzv0ANcY2gPACHEcMyGZs2aae/evcrJyVHnzp1VqVIl3Xjjja5jeefpp59WYmKiHnnkEf3Xf/2X9u3bpwkTJriO5Z1x48ZJku68805dfvnl2rdvn6699lrHqfzE3mQDPdhADzZwVtvAerChY8eOqlu3rpYvX66ysjKNGTOmwm1aEB/0ANeCaDQadR0CAHD6rF69OjYcS0xMdB3HWzt27FBxcbEuvfRS11G88/rrr+vWW2/9l9dweg0dOlRDhw79l9cQX+xNNtCDDfTgDme1PawHAHCLmzEBQAidOARr2rSpWrVqpSeffNJdIE898MADsY9/8pOf6NJLL61wDfExa9ask669/PLLDpL4bd26dSddW7t2rYMkYG+ygR5soAcbOKttYD3YUFBQoCFDhqhXr17q3r177A/iix7gGrfHAYAQYjhmw44dO066tm3bNgdJ/PTZZ59p7dq1KiwsVG5ubux6cXGxSktLHSbzy5IlS/TGG2+ooKBAffr0iV0vLi5Wamqqw2T+Ym+ygR5soAe3OKttYT3Y0K9fP2VmZionJ4dXSjtED3CNoT0AhAjDMRvmzJmjOXPmaPPmzcrOzo5dLy4u1r/92785TOaXXbt2KT8/X4cOHdKGDRti16tUqaKRI0c6TOaXevXqqXXr1vriiy/UunXr2PW0tDRlZmY6TOYf9iYb6MEGerCBs9oG1oMthw8f1oABA1zH8B49wDXuaQ8AIZKfn68vvvhCEyZM0IMPPhi7fmw4lpaW5jCdP/7+97+roKBAQ4cO1bBhw2LX09LSVL9+fZ6pEWfvv/++rrvuuu99fOnSpbzJWhwUFhaqZs2a3/v42LFjNXDgwDgm8g97kw30YAM92MJZ7RbrwZYBAwZowIABqlOnjusoXqMHuMbQHgBCiOHYmWHgwIEaO3as6xjey87OVl5enusY3qMHO9ibbKAHG+jBBs4IG1gP8dGzZ0+tX79ejRs3VuXKlWPXJ06c6DCVf+gBrnF7HAAIoX82sJekjz76KE5J8M/893//t+sIkMTzF2ygBzvYm2ygBxvowQbOCBtYD/Fxyy236JZbbnEdw3v0ANcY2gOAh/jBBzguCALXESB6AAB8P84I+OTE9xWAO/QA1xjaA4CH+MEHAAAAAOyYPn26evXq9b1vwjxo0KA4J/ITPcAKhvYAAMBrvPLEBnoAAHwfzgj4IDU1VZKUnp7uOInf6AFWMLQHAA/xg48NCQkJriNAUv/+/V1H8E5RUZGqVatW4dr06dMdpcE/Ym+ygR5soAcbOKttYD2cXl27dpUk9enTx3ESv9EDrAiiTG4AINRONRwrLCz8l29WC4TB/PnzVVBQoFatWqlhw4ax6y+88ILuvfdeh8n8sWHDBj366KNKSEjQmDFjNHbsWK1cuVI1atTQ888/rwYNGriOCDg3Z86c2JAA8A1ntU3sS+5MnDjxpGtVq1ZV48aN1ahRIweJ/EQPcI1fkwJAiGzYsEEdO3ZUdna2Nm3apN69e+vaa69Vy5YtlZ+fH/t7DOxPr61bt6pbt25q3bq1Ro4cqcOHD8ce69Kli8Nkfhk3bpxeffVV7d27V/fee69efPHF2GPLli1zmMwvI0aMUN++fdWtWzf17t1b7du317p16zR48GCNGTPGdTyvsDfZsHz58pP+TJgwIfYx4oP1YANntQ3sS7Z89dVXmjNnjr7++mvt3LlTc+bM0apVqzRw4EDl5ua6jucNeoBr3B4HAELk2HBs37596t27t37zm99oypQpevvttzVmzBhuPxEnw4YNU7t27XTFFVcoNzdXd955p/7whz8oLS2twlAAp9f777+vuXPnKjk5Wffdd5/uv/9+HTp0SPfeey+3iIqjkpIStWnTRpI0fvx4ZWVlSZLatGmjCRMmOEzmH/YmG37961+rcePGqlSpUuxacXGxZsyYoSAI1Lp1a4fp/MF6sIGz2gb2JVuKioo0f/58ZWRkSJJ2796tRx55RK+88opycnLUvXt3xwn9QA9wjWfaA0CIHBuOderUSdFotMJwbM+ePW7DeWTPnj3KycnR5ZdfrjFjxqhly5bq0aOHiouLFQSB63jeiEajSk5OliTVqlVLM2bM0LvvvqvJkyfTQxydOHRp0aLF9z6G04+9yYYRI0ZIkgYNGqSZM2dq5syZysjI0MyZM3nmXhyxHmzgrLaBfcmWnTt3xgbFkpSRkaFdu3apevXqSkriubfxQg9wjf/KACBEGI7ZcOjQoQqf33fffapUqZLuvPNO7d+/31Eq/6SkpKigoEDnn3++JCktLU3Tpk3TXXfdpU2bNjlO54+MjAyVlJQoLS1No0ePjl3ftWuXKleu7DCZf9ibbOjcubOuvvpqDR48WE2bNtX999/PcNIB1oMNnNU2sC/ZUrt2bU2cOFGdO3eWJM2dO1fnnHOOIpEIvcQRPcA1nmkPACFybDgmieGYQ5dccok++OCDCtfuuusudejQQVu3bnWUyj8DBgyIrYdjqlSpounTp6tPnz6OUvln2rRpSktLO+l6SkqK/vM//9NBIn+xN9lx3nnnafr06UpNTVVOTo5KS0tdR/IO68EGzmo72JfsGDVqlDZt2qSsrCxlZWVp06ZNGjlypMrLyyv8jIfTix7gWhDlqZcAEHrFxcUqLi5WnTp1XEfxwrEfco693PtEO3fuVO3ateMdCQDYm4zatGmT/vznP+uOO+5wHcUrrAfg+7EvAYB7DO0BAIB3nnnmGfXv3991DO+1bdtWb775pusYAACDOKvhs3Xr1mnr1q2KRCKxa8ferwzxQw9widvjAIAn2rZt6zoCRA9WLFiwwHUEb+Tn53/vH+4bbQd7kw30YAM92MBZbQPrIf6GDBmihx56SG+++abeeecdvfPOO3r33Xddx/IOPcA13ogWAEIkPz//ex9jOBY/9GBDdnb2Ka9Ho1Ht2bMnzmn8lZWVpfPOO++Ub4b97bffxj+Qx9ibbKAHG+jBBs5qG1gPtqxYsUJLlizhPckcowe4xtAeAEKE4ZgN9GDDtm3b9Pvf/14pKSkVrkejUV5uH0d16tTRyy+/fMr7Q1933XUOEvmLvckGerCBHmzgrLaB9WBLrVq1Tvl+G4gveoBrDO0BIEQYjtlADzZcdtllSk9PV5MmTU56rFKlSg4S+en666/Xtm3bWA8GsDfZQA820IMNnNU2sB5sadSokR588EHdeOONFZ7l3bp1a4ep/EMPcI2hPQCECMMxG+jBhlGjRiktLe2Uj/Hmp/EzePDg733siSeeiH1cWlrKs5lOM/YmG+jBBnqwgbPaBtaDLevXr5ckzZ49O3YtCAKGxXFGD3AtiJ7q9U8AgFBjOGYDPdgwduxYDRw40HUM72VnZysvL891DIi9yQp6sIEebOCstoH1AADxk+A6AAAg/rp06eI6AkQPVnz00UeuI0A65X104QZ7kw30YAM92MBZbQPrIT7Ky8s1ffp0DR06VJK0detWrVixwm0oD9EDXGNoDwAeYjhmAz3YQA82BEHgOgK+w5qwgR5soAcb6MEGeoiPJ554Ql999ZVWrlwpSapevbrGjh3rOJV/6AGuMbQHAA8xHLOBHmygB6Ai1oQN9GADPdhADzbQQ3ysW7dOw4cPj735adWqVVVeXu44lX/oAa4xtAcAAIBzPHsPAABAsSHxMZFIhO+THKAHuJbkOgAAIP74ZsMGerCBHuKjsLBQNWvW/N5rV1xxhYtYOAXWhA30YAM92EAPNtBDfNSvX18LFizQkSNHtGXLFk2dOlXNmzd3Hcs79ADXeKY9AIRQYWHhP73GcCw+6MGGY28e9X3Xpk+fHr8wHrvrrrv+6bVhw4bFM47X2JtsoAcb6MEGzmobWA82PProo1q9erV2796trl27KiEhQQ8//LDrWN6hB7gWRPlVKQCETnZ2tvLy8v7lNZxe9GDDqf6dd+zYUQsWLHCUyC+lpaUqLS3VL3/5S7388sux68XFxerRo4fefPNNh+n8xN5kAz3YQA82cFbbwHoAADu4PQ4AhMix4VgkElFJSUnsenFxsQ4cOOAwmV/owYYlS5bojTfeUEFBgfr06RO7XlxcrNTUVIfJ/DJlyhRNnDhRQRCoWbNmsetpaWnq2bOnw2T+YW+ygR5soAcbOKttYD3Y1bdvX02YMMF1DO/RA1xgaA8AIcJwzAZ6sKFevXpq3bq1vvjiC7Vu3Tp2PS0tTZmZmQ6T+aVPnz7q06ePhgwZ8k9vgVNaWqrk5OQ4JvMPe5MN9GADPdjAWW0D68GugoIC1xEgeoAb3B4HAEKI4ZgN9GDDqd4A9URjx47VwIED45gIp8LL7+OHvckGerCBHmzgrLaB9WBPVlaW5s+f7zqG9+gBLjC0BwAPMRyzgR5soAcb+GHIDtaEDfRgAz3YQA820EP8FRcXKz093XUM79EDXEhwHQAAEH/8vtYGerCBHmwIgsB1BHyHNWEDPdhADzbQgw30EF87duzQxx9/rC1btriO4jV6gCsM7QHAQwzHbKAHG+gBqIg1YQM92EAPNtCDDfRwep14C6iVK1eqc+fOmjNnjnJycvTWW285TOYXeoAVvBEtAAAAnOPZewAAwGebNm2Kffzcc89p4sSJatKkiTZv3qwBAwbohhtucJjOH/QAK3imPQB4iOGYDfRgAz3YcMUVV7iOgO+wJmygBxvowQZ6sIEeTq8TX8nw7bffqkmTJpKkiy66SJFIxFUs79ADrOCZ9gDgIYZjNtBDfGzbtk3bt2+XJNWpU0d169at8Pj06dNdxPLOCy+8oHvvvTf2eVlZmZ566ikNGTJEkjRs2DBX0fAP2JtsoAcb6CE+OKvPDKyH0+vrr7/WyJEjFY1GtXfvXkUiESUmJkoSw+I4ogdYwTPtASCEXnjhhQqfl5WVVRiIMRyLD3pw68svv9Stt96qO+64Q+PGjdO4ceN0xx136NZbb63wsteaNWs6TOmPtWvXqnfv3ioqKtLWrVvVpUsXJSTwragL7E020IMN9OAWZ7UtrAe3cnJylJ6erqpVq+q2227Tt99+K0nauXOnGjZs6DacR+gBVgRRXt8EAKFz33336ciRIxo7dqyKiorUr18/XXnllXr88cddR/MKPbh122236e6771bbtm0rXF+2bJn+8Ic/6PXXX3eUzF/Tpk3TrFmzdOTIET366KNq166d60heYm+ygR5soAe3OKttYT0AgB0M7QEgpBiO2UAP7rRt21ZvvvnmD34Mp0dZWZlGjRqlP//5z9q3b5/69eunjh07uo7lLfYmG+jBBnpwh7PaHtaDe6WlpZoxY4Y++ugjBUGgzMxM9ejRQ8nJya6jeYUe4BqvSQaAECorK9P27duVnp6uIAh0+PBh15G8RA9u1ahRQ/Pnz9eRI0di144cOaK8vDzVqFHDYTI/de3aVeXl5Xrttdc0a9YszZ49W4899pjrWF5ib7KBHmygB7c4q21hPdgwZMgQrVmzRr/61a+Uk5OjTz/9NPYeQIgfeoBrPNMeAEKoc+fOuvzyy/Xb3/5Wu3fv1kMPPaR69erpqaeech3NK/Tg1pYtW/S73/1Of/nLX1SrVi1J0jfffKOf/vSnGjZsmC6++GLHCf2yaNEidejQIfZ5eXm5fv/73+v//t//6zCVn9ibbKAHG+jBLc5qW1gPNrRr105Lly5VEASSjr756U033aRly5Y5TuYXeoBrSa4DAAB+fD169IgNx+rUqaOXXnpJv//97x2n8g89uHXhhRfqxRdfVGFhoXbs2CFJ+slPfsKb2Tly4sBekpKSkhjYO8LeZAM92EAPbnFW28J6sKF69eo6dOiQUlJSJB29TQuvPIk/eoBrPNMeAAB4o6ioSNWqVXMdw0uHDh3SzJkzlZ+fX+Hl9hMnTnSYCgBgDWc1fPfYY4/p888/j72fwJtvvqmf/exnql+/viSpe/fuLuN5gx7gGs+0B4AQYjhmAz24tWHDBj366KNKSEjQmDFjNHbsWK1cuVI1atTQ888/rwYNGriO6JXBgwcrLS1Na9euVc+ePZWXl6dmzZq5juUl9iYb6MEGenCLs9oW1oMN0WhUl19+uQoKCiRJDRs21JEjR7RhwwbHyfxCD3CNoT0AhBDDMRvowa0RI0aob9++2rdvn3r37q3f/OY3mjJlit5++22NGTNG06dPdx3RKxs3bozd175bt27Kzs7Wvffe6zqWl9ibbKAHG+jBLc5qW1gPNowcOdJ1BIge4F6C6wAAgB/fxo0bNXToUFWpUkXdunVTbm6u/vKXv7iO5R16cKukpERt2rRRp06dFI1GlZWVJUlq06aN9uzZ4zachypXrizp6L3sDxw4oLS0NBUWFjpO5Sf2JhvowQZ6cIuz2hbWg3v5+fnKz8+XJG3evFkzZszQihUrHKfyDz3AAp5pDwAhxHDMBnpw68S37WnRosX3Pob4qFatmoqKinTttdfqrrvuUo0aNXTuuee6juUl9iYb6MEGenCLs9oW1oNbM2fO1PTp01VeXq677rpLCxYsUKNGjTR79mz17NlTXbt2dR3RC/QAKxjaA0AIMRyzgR7cysjIUElJidLS0jR69OjY9V27dsV+KEX8TJkyRYmJierXr58WLlyo4uLi2DMqEV/sTTbQgw304BZntS2sB7deffVVLV68WPv371ebNm20bNky1alTR4WFherVqxfD4jihB1gRRPn1NQCETiQSUWJioqLRaIXhWFpamutoXqEHm4qLi1VcXKw6depIkkpLS5WcnOw4FRA/7E020IMN9GATZ7UbrAe3srKyNH/+fEnSzTffrMWLF8cey87OVl5enqNkfqEHWMEz7QEghBITEyVJQRCoY8eOjtP4ix5sSk9PV3p6euzzLl268M13HHzyyScaPXq0tm7dqvLy8tj1NWvWOEzlJ/YmG+jBBnqwibPaDdaDW5FIJPZx3759KzxWWloa7zjeogdYwdAeAEKI4ZgN9HBm4EWH8TF48GD1799fjRo1ig0F4AZ7kw30YAM9nBk4q+OD9eBW165dY7eLatu2bez6l19+qaZNmzpM5hd6gBXcHgcAQqht27anHI7Vrl3bYSr/0MOZgZe5xkfnzp01d+5c1zEg9iYr6MEGejgzcFbHB+sBAOzgmfYAEEJpaWlq166d6xjeowfguLZt22r+/Plq37499yV2jL3JBnqwgR6A41gPNmRnZ+vWW2/VzTffrGrVqrmO4y16gGsJrgMAAH58x4Zj3HPPLXo4M/Ciw/ioV6+ehg0bpiuuuEKXXXaZGjRooMsuu8x1LC+xN9lADzbQw5mBszo+WA82DBo0SJ9//rl+8YtfqF+/fvrwww9ZAw7QA1zj9jgAEEJvv/22Bg4cqEOHDkk6+oNOEATasGGD42R+oYczw5AhQzRs2DDXMUKvdevWGj58uH72s58pIeH480ZSU1MdpvITe5MN9GADPZwZOKvjg/Vgy4EDB7Rs2TLl5eVp27Zteu+991xH8hI9wBVujwMAITRy5EhNnjz5pOEY4osebJgzZ45uuukmpaena9iwYVq3bp0GDRqkq666SpIYAsTJ2WefrczMTNcxIPYmK+jBBnqwgbPaBtaDLQcOHFBhYaH27Nmj9PR013G8RQ9whV0YAELo2HAsLS1NqampsT+IL3qwYdasWUpPT9fq1au1adMm9e/fX6NHj3YdyzvXX3+9XnrpJe3Zs0clJSWxP4g/9iYb6MEGerCBs9oG1oMNf/zjH3XfffepQ4cO+vvf/65Ro0Zp0aJFrmN5hx7gGrfHAYAQev7555WWlqYbb7xRlStXjl1PS0tzmMo/9GBDdna28vLyNGnSJJ1zzjm67bbbYtcQPw0aNIh9HAQBL7l3iL3JBnqwgR5s4Ky2gfVgQ69evdSpUyfdcMMNFXpAfNEDXGNoDwAhxHDMBnqwoVOnTrr77rs1efJkvfDCCzrvvPN08803a/Hixa6j4QSlpaVKTk52HcML7E020IMN9GADZ7UNrAd78vLylJ2d7TqG9+gBLjC0BwAPMRyzgR7iY926dXrhhRfUokUL3Xnnnfrb3/6mWbNmafDgwa6j4QQ8o9IO9iYb6MEGeogPzuozA+sh/vj+yAZ6gAvc0x4APNSlSxfXESB6iJcrrrhCkydP1p133ilJuvjiiysMAcaOHesqGk7A80jsYG+ygR5soIf44Kw+M7Ae4o/vj2ygB7jA0B4APMQ3HTbQgw0fffSR6wjQ0Zfhwwb2JhvowQZ6sIGz2gbWQ/z16NHDdQSIHuAGQ3sA8BDDMRvowQZ+AAUqYm+ygR5soAcbOKttYD3Ez/bt27VgwQIlJCRo+/btruN4ix7gEkN7AADgNX4AtYGBDADg+3BWwyeLFi1Sdna23nrrLb355pvq1KmT3njjDdexvEMPcC3JdQAAQPwxHLOBHoDjrrjiCtcR8B32JhvowQZ6AI5jPcTHpEmT9Prrr6tu3bqSpIKCAt1999266aabHCfzCz3ANZ5pDwAeYjhmAz3YwA+g8TFnzhwVFxdLkoYNG6ZOnTrpk08+iT0+bNgwV9HwD9ibbKAHG+jBBs5qG1gP8ZGSkhIbFEvS+eefr5SUFIeJ/EQPcI2hPQCEEMMxG+jhzDB9+nTXEbwwa9Yspaena/Xq1dq0aZP69++v0aNHu47lJfYmG+jBBno4M3BWxwfrwYbrrrtOEyZM0Ndff60dO3Zo4sSJatWqlUpKSlRSUuI6njfoAa4xtAeAEGI4ZgM9uLV06dLYx4WFherdu7eaNm2qbt26VXgjqZo1a7qI552kpKN3Zfz444/VsWNH/cd//IcikYjjVH5ib7KBHmygB7c4q21hPdjw/PPPa9KkSWrZsqVatWqliRMnavLkyWrWrJmuuuoq1/G8QQ9wjaE9AIQQwzEb6MGtKVOmxD5++umndemll2rZsmW6/vrrNWLECIfJ/BQEgZYsWaKlS5fqmmuukSSVlZU5TuUn9iYb6MEGenCLs9oW1oMN+fn53/tnw4YNruN5gx7gGkN7AAghhmM20INbJ97/9rPPPlP//v1Vq1Yt9ezZU9u2bXOYzE9DhgzR4sWLddttt+m8887T3/72N1199dWuY3mJvckGerCBHtzirLaF9eBeJBJR+/btXcfwHj3AAob2ABBCDMdsoAe3Dh8+rI0bNyo/P19BECgxMTH2WBAEDpP56YorrtDkyZN15513SpIuvvhiDR48OPb42LFjXUXzDnuTDfRgAz24xVltC+vBvcTERNWsWVMHDx50HcVr9AALgihvww4A3hk7dqwGDhzoOob36OH0uv766xUEQexZfC+//LLOPfdcFRcXq3v37srLy3OcECfKzs6mEyPYm2ygBxvo4fTirD6zsB7i47HHHtMXX3yhdu3aKTU1NXa9e/fuDlP5hx7gWpLrAACA+Pvoo49cR4Do4XR75513Tnk9KSlJ48ePj3Ma/Cs8j8QO9iYb6MEGeji9OKvPLKyH+IhGo7rsssu0ZcsW11G8Rg9wjaE9AHiI4ZgN9BB/eXl5ys7OVt26dV1HwT/gNgh2sDfZQA820EP8cVbbxXqIj5EjR7qOANED3GNoDwAeYjhmAz3EX25urrKzs13HAExjb7KBHmygh/jjrLaL9XB6rVq1Ss2bN9fy5ctP+Xjr1q3jnMhP9AArGNoDAABv8Awxu+gGACBxHsBfCxcuVPPmzTVjxoyTHguCgGFxnNADrGBoDwAe4ochG+gh/nr06OE6Ar7H9OnTXUfAd9ibbKAHG+gh/jir7WI9nF7Dhw+XJM2cOdNxEr/RA6wIouy6AOCdwsJC1axZ03UM79FDfAwdOlRDhw79l9dweixdulQ33nijpKP/zT/66KNavXq1fvrTn2r06NGqU6eO44T4R+xNNtBD/BUVFalatWoVrtFDfHBWnxlYD/Gza9cuFRQUKBKJxK5dddVVDhP5iR7gUoLrAACAH8/SpUtjHxcWFqp3795q2rSpunXrpu3bt8ce45vt04sebFm3bt1J19auXesgiZ+mTJkS+/jpp5/WpZdeqmXLlun666/XiBEjHCbzD3uTDfRgw4YNG9SxY0dlZ2dr06ZN6t27t6699lq1bNlS+fn5sb9HD/HBWe0W+5Itzz33nNq3b68nn3xSo0aN0qhRozR69GjXsbxDD3CNZ9oDQIhkZ2crLy9PkjR48GBVr15dd955pxYvXqw///nPmjRpkuOEfqAHG5YsWaI33nhDq1atUosWLWLXi4uLVVpaqtmzZztM54+srCzNnz9fknTLLbcoLy9PiYmJsc8XLlzoMJ1f2JtsoAcbfvWrX6lHjx7at2+fJkyYoN/85jfKysrS22+/rZdffplbdsUJZ7UN7Eu2tGnTRq+99ppq1KjhOorX6AGucU97AAiRE38P+9lnn8WGYz179ox9I47Tjx5sqFevnlq3bq0vvviiwhtGpaWlKTMz02Eyvxw+fFgbN25UNBpVEASxgb109M28ED/sTTbQgw0lJSVq06aNJGn8+PHKysqSdHRIM2HCBIfJ/MJZbQP7ki0ZGRkMig2gB7jG0B4AQoThmA30YEODBg3UoEEDtWzZMvZy7lPdrxin1+HDh/XAAw/EBgJff/21zj33XBUXFyshgTs1xhN7kw30YMOJQ8oTn+H9j4/h9OKstoF9yYZjt+a65pprNGLECHXo0EHJycmxxxs0aOAqmlfoAVYwtAeAEGE4ZgM92HLi/Vd79OjBM8bi7J133jnl9aSkJI0fPz7OafzG3mQDPdiQkZGhkpISpaWlVbhH8a5du1S5cmWHyfzEWe0W+5INDzzwQIXPly9fHvs4CIIKn+P0oQdYwT3tAcADBw8e1O7du1W3bl3XUbxGD+6deH91uJOXl6fs7GzXMfAd9iYb6MGG4uJiFRcXq06dOq6jeIuz2g72JTeWL1+uZs2axV5xUlRUpDVr1qhVq1aOk/mFHuAavzIFgJDLy8tTSkoK32w7Rg82XHDBBa4jQFJubq7rCPgOe5MN9GBDXl6e0tPTGdg7xlltA/uSO+PHj69wi6iqVavy6kQH6AGuMbQHgJBjOGYDPbhXWlrKN9pG8EJPO9ibbKAHG+jBPc5qO1gPdgRBoEgk4jqG9+gB8cbQHgBCjuGYDfTgTn5+vm6++Wa1adNGkrR+/XqNGTPGcSq/9ejRw3UEfIe9yQZ6sIEe3OGstof14E6VKlW0Zs2a2OerV69WlSpVHCbyEz3ANYb2ABByDMdsoAd3RowYoaFDh8be5K5hw4Z6//33Hafyz9ChQ2MfZ2VlnXQNbrA32UAPNtCDO5zV9rAe3Bk4cKD69u2rbt26qVu3burXr58GDRrkOpZ36AGuMbQHgBBiOGYDPdiwf/9+NWvWLPZ5EASqVKmSw0R+Wrdu3UnX1q5d6yAJ2JtsoAcb6MEGzmobWA82XHnllVqyZInuvvtu3X333XrjjTfUqFEj17G8Qw9wLcl1AADAj4/hmA30YENSUpLKysoUBIEkaceOHUpI4HkL8bJkyRK98cYbKigoUJ8+fWLXi4uLlZqa6jCZv9ibbKAHG+jBBs5qG1gPdlSrVk3XXXed6xjeowe4xNAeAEKE4ZgN9GBLTk6Ofv3rX6uwsFDPPPOMFi1apIcffth1LG/Uq1dPrVu31hdffKHWrVvHrqelpSkzM9NhMv+wN9lADzbQgy2c1W6xHgDAHob2ABAiDMdsoAdbOnbsqLp162r58uUqKyvTmDFjKrwEH6dXgwYN1KBBA7Vs2TJ2r+KioiJVq1bNcTL/sDfZQA820IMtnNVusR4AwJ4gyluCA0DoFBYWMhwzgB6AU8vOzlZeXp7rGN5ib7KBHmygB+A41gMA2MHQHgBCjuGYDfTgTkFBgaZOnapt27apvLw8dj03N9dhKr9lZWVp/vz5rmNA7E1W0IMN9OAOZ7U9rAcAcIvb4wBAyPG7WRvowZ1+/fopMzNTOTk5SkxMdB0Hki644ALXEfAd9iYb6MEGenCHs9oe1gMAuMXQHgBCjuGYDfTgzuHDhzVgwADXMfCd0tJSjR8/3nUMfIe9yQZ6sIEe3OGstof1AABucXscAAix0tJSJScnu47hPXpwa8CAARowYIDq1KnjOorX8vPz9fDDD2vfvn364IMPtH79ei1ZskSPPPKI62jeYm+ygR5soAe3OKttYT0AgHsJrgMAAH58+fn5uvnmm9WmTRtJ0vr16zVmzBjHqfxDDzYUFhaqY8eOuueee9SnT5/YH8TXiBEjNHTo0Ngb3DVs2FDvv/++41R+Ym+ygR5soAcbOKttYD0AgB0M7QEghBiO2UAPNtxyyy167LHH1L59e7Vu3Tr2B/G1f/9+NWvWLPZ5EASqVKmSw0T+Ym+ygR5soAcbOKttYD0AgB3c0x4AQojhmA30YEN2drbrCJCUlJSksrIyBUEgSdqxY4cSEnj+iAvsTTbQgw30YANntQ2sBwCwg6E9AIQQwzEb6MGt6dOnq1evXho5cuQpHx80aFCcE/ktJydHv/71r1VYWKhnnnlGixYt0sMPP+w6lpfYm2ygBxvowS3OaltYDwBgB0N7AAghhmM20INbqampkqT09HTHSSBJHTt2VN26dbV8+XKVlZVpzJgxFZ7Nh/hhb7KBHmygB7c4q21hPQCAHUE0Go26DgEA+PGtWbNGy5cvVzQa1fXXX89wzBF6AGARe5MN9GADPQDHsR4AwAaG9gAAINQmTpx40rWqVauqcePGatSokYNEfiooKNDUqVO1bds2lZeXx67n5uY6TAUAsICzGgCAirg9DgCEEMMxG+jBhq+++kqrVq1Sy5YtFQSB3n33XTVu3FizZs1STk6Ounfv7jqiF/r166fMzEzl5OQoMTHRdRyvsTfZQA820IMNnNU2sB4AwA6G9gAQQgzHbKAHG4qKijR//nxlZGRIknbv3q1HHnlEr7zyCoOAODp8+LAGDBjgOgbE3mQFPdhADzZwVtvAegAAOxjaA0AIMRyzgR5s2LlzZ2wIIEkZGRnatWuXqlevrqQkvhWKl0svvVTbt29XnTp1XEfxHnuTDfRgAz3YwFltA+sBAOzg9AOAEGI4ZgM92FC7dm1NnDhRnTt3liTNnTtX55xzjiKRiIIgcJzOH4WFherYsaMaN26sypUrx66f6j7GOL3Ym2ygBxvowQbOahtYDwBgB29ECwAh1LNnT61fv57hmGP0YMM333yj4cOH6+OPP5YkXX311XrsscdUvXp1bd68WfXr13ec0A95eXmnvJ6dnR3nJGBvsoEebKAHGzirbWA9AIAdDO0BIIQYjtlADwAsYm+ygR5soAfgONYDANjB0B4AAITeunXrtHXrVkUikdi1rKwsd4E8Mn36dPXq1UsjR4485eODBg2KcyIAgEWc1QAAHMc97QEgRBiO2UAPtgwZMkR/+tOfdNlllykhIUGSFAQBg4A4SU1NlSSlp6c7TgL2JhvowQZ6sIWz2i3WAwDYw9AeAEKE4ZgN9GDLihUrtGTJkgr3ZkX8dO3aVZLUp08fx0nA3mQDPdhAD7ZwVrvFegAAe7g9DgAACLWcnBy99NJLCoLAdRSvnepN7KpWrarGjRurUaNGDhIBAKzgrAYAoCKeaQ8AIcRwzAZ6sKFRo0Z68MEHdeONN1Z4Bl/r1q0dpvLPV199pVWrVqlly5YKgkDvvvuuGjdurFmzZiknJ0fdu3d3HdEb7E020IMN9GADZ7UNrAcAsIOhPQCEEMMxG+jBhvXr10uSZs+eHbsWBAGDgDgrKirS/PnzlZGRIUnavXu3HnnkEb3yyiushzhjb7KBHmygBxs4q21gPQCAHQztASCEGI7ZQA82zJw503UESNq5c2dsLUhSRkaGdu3aperVqyspiW9J44m9yQZ6sIEebOCstoH1AAB2JLgOAAD48TEcs4EebCgvL9f06dM1dOhQSdLWrVu1YsUKt6E8VLt2bU2cOFE7duzQjh07NHHiRJ1zzjmKRCLcwzjO2JtsoAcb6MEGzmobWA8AYAdDewAIIYZjNtCDDU888YS++uorrVy5UpJUvXp1jR071nEq/4waNUqbNm1SVlaWsrKytGnTJo0cOVLl5eUaPXq063heYW+ygR5soAcbOKttYD0AgB1BNBqNug4BAPhxffPNNxo+fLg+/vhjSdLVV1+txx57TNWrV9fmzZtVv359xwn9QA82dOzYUQsWLFBWVpbmz58vSbrlllu0cOFCt8EAR9ibbKAHG+jBBs5qG1gPAGAHQ3sAABBqt99+u1599dXYICASiSgrK0uLFi1yHc0769at09atWxWJRGLXsrKy3AUCAJjAWQ0AQEXclAwAQorhmA304F79+vW1YMECHTlyRFu2bNHUqVPVvHlz17G8M2TIEP3pT3/SZZddpoSEo3doDIKA9eAIe5MN9GADPbjHWW0H6wEAbOCZ9gAQQt83HPvP//xPx8n8Qg827N+/X6NHj9bbb7+taDSqG264QYMGDVJKSorraF75xS9+oUWLFqly5cquo3iPvckGerCBHmzgrLaB9QAAdjC0B4AQYjhmAz0Ax+Xk5Oill17ijewMYG+ygR5soAfgONYDANiR4DoAAODHV6tWLSUnJ7uO4T16sKdv376uI3irUaNGevDBB7VkyRItX7489gfxx95kAz3YQA/2cFa7w3oAADu4pz0AhNCx4diNN95Y4ZkyrVu3dpjKP/RgT0FBgesI3lq/fr0kafbs2bFrQRCwHhxgb7KBHmygB3s4q91hPQCAHQztASCEGI7ZQA/2cFdAd2bOnOk6Ar7D3mQDPdhAD/ZwVrvDegAAO7inPQAA8EZxcbHS09Ndx/BSeXm5cnNztXXrVg0dOlRbt27V3//+d2VmZrqOBgAwhLMaAADuaQ8AoVReXq7p06dr6NChkqStW7dqxYoVbkN5iB5s2bFjhz7++GNt2bLFdRQvPfHEE/rqq6+0cuVKSVL16tU1duxYx6n8xN5kAz3YQA+2cFa7xXoAADsY2gNACDEcs4Ee3Bo4cGDs45UrV6pz586aM2eOcnJy9NZbbzlM5qd169Zp+PDhsXvkVq1aVeXl5Y5T+Ym9yQZ6sIEe3OKstoX1AAB2MLQHgBBiOGYDPbi1adOm2MfPPfecJk6cqGnTpumll17S888/7zCZn058QztJikQi3LfYEfYmG+jBBnpwi7PaFtYDANjBG9ECQAgxHLOBHtwKgiD28bfffqsmTZpIki666CJFIhFXsbxVv359LViwQEeOHNGWLVs0depUNW/e3HUsL7E32UAPNtCDW5zVtrAeAMAOhvYAEEIMx2ygB7e+/vprjRw5UtFoVHv37lUkElFiYqIkMQhw4NFHH9Xo0aO1e/dude3aVTfccIMefvhh17G8xN5kAz3YQA9ucVbbwnoAADuCKL82BYDQ2b9/v0aPHq23335b0WhUN9xwgwYNGqSUlBTX0bxCD25NnDixwud33HGHzj77bO3cuVPPPPOMRo0a5SgZ4BZ7kw30YAM9uMVZbQvrAQDsYGgPAACAuOrbt68mTJjgOgYAAAAAmMQb0QJAyPXt29d1BIgeXCotLdWUKVPUo0cP9ezZU1OmTFFpaanrWF4rKChwHQHfYW+ygR5soAd3OKvtYT0AgFsM7QEg5BiO2UAP7gwZMkRr1qzRr371K+Xk5OjTTz/VkCFDXMfyGi/0tIO9yQZ6sIEe3OGstof1AABu8Ua0ABByDMdsoAd31q5dq6VLlyoIAklSq1atdNNNNzlO5beZM2e6joDvsDfZQA820IM7nNX2sB4AwC2eaQ8AIcdwzAZ6cKd69eo6dOhQ7PPS0lLVqFHDYSK/7dixQx9//LG2bNniOgrE3mQFPdhAD+5wVtvDegAAtxjaA0CIMRyzgR7cqlevnm6//XZNmjRJkyZNUpcuXVSvXj3l5uYqNzfXdbzQGzhwYOzjlStXqnPnzpozZ45ycnL01ltvOUwG9iYb6MEGenCLs9oW1gMAuMfQHgBChOGYDfRgSzQa1eWXX66CggIVFBSoYcOGOnLkiDZs2KANGza4jhd6mzZtin383HPPaeLEiZo2bZpeeuklPf/88w6T+Ye9yQZ6sIEebOGsdov1AAD2cE97AAiRUw3HmjRpos2bN2vAgAG64YYbHKbzBz3YMnLkSNcRvHbs/sSS9O2336pJkyaSpIsuukiRSMRVLC+xN9lADzbQgy2c1W6xHgDAHob2ABAiDMdsoAc78vPzJUkNGjTQ5s2b9d5776l+/frKzMx0nMwfX3/9tUaOHKloNKq9e/cqEokoMTFRklgPccbeZAM92EAPdnBWu8d6AAB7GNoDQIgwHLOBHmyYOXOmpk+frvLyct11111asGCBGjVqpNmzZ6tnz57q2rWr64heyMnJiX1822236dtvv9XZZ5+tnTt3qmHDhg6T+Ye9yQZ6sIEebOCstoH1AAD2MLQHgBBhOGYDPdjw6quvavHixdq/f7/atGmjZcuWqU6dOiosLFSvXr0YBMRJnz59Tnm9du3aGjVqVJzT+I29yQZ6sIEebOCstoH1AAD2BNFoNOo6BAAAwI8tKytL8+fPlyTdfPPNWrx4ceyx7Oxs5eXlOUrmp9LSUs2YMUMfffSRgiBQZmamevTooeTkZNfRAACOcFYDAHBqPNMeAEKI4ZgN9ODWiS/n7tu3b4XHSktL4x3He0OGDNHevXv1q1/9SpI0b948DRkyhDcfdIC9yQZ6sIEe3OKstoX1AAB28Ex7AAihQYMGae/evbr11lslHR2OVatWjeFYnNGDW7NmzVLHjh2VlpZW4fqXX36pF198UU888YSjZH5q166dli5dGnuzu0gkoptuuknLli1znMw/7E020IMN9OAWZ7UtrAcAsINn2gNACK1du7bCcKxVq1a66aabHKfyDz24deL9WU90ySWXMARwoHr16jp06JBSUlIkHX02X40aNRyn8hN7kw30YAM9uMVZbQvrAQDsSHAdAADw4zs2HDuG4Zgb9GBDdna2Zs2apaKiItdRvFavXj3dfvvtmjRpkiZNmqQuXbqoXr16ys3NVW5urut4XmFvsoEebKAHGzirbWA9AIAd3B4HAELoscce0+eff6527dpJkt5880397Gc/U/369SVJ3bt3dxnPG/Rgw6pVqzRv3jy9++67yszMVOfOnfXzn/889iwyxMegQYP+6eO89D5+2JtsoAcb6MEGzmobWA8AYAdDewAIIYZjNtCDLQcOHNCyZcuUl5enbdu26b333nMdCXCCvckGerCBHmzhrHaL9QAAdjC0BwAAXti9e7fmz5+vefPmKTExUYsWLXIdyRv5+fmSpAYNGmjz5s167733VL9+fWVmZjpOBgCwhLMaAICjGNoDQMgwHLOBHuz44x//qHnz5mndunVq166dsrOz1ahRI9exvDFz5kxNnz5d5eXluuuuu7RgwQI1atRIH3/8sXr27KmuXbu6jugV9iYb6MEGerCDs9o91gMA2MLQHgBChOGYDfRgS69evdSpUyfdcMMNqly5sus43unQoYPmzJmj/fv3q02bNlq2bJnq1KmjwsJC9erVS/Pnz3cd0RvsTTbQgw30YAtntVusBwCwJ8l1AADAj+fVV1/V4sWLv3c4xjfc8UEPtkyfPj32cV5enrKzsx2m8U9iYqKqVKmiKlWq6IILLlCdOnUkSTVr1uQNBuOMvckGerCBHmzhrHaL9QAA9iS4DgAA+PEcG46dc845DMccoge7cnNzXUfwTiQSiX3ct2/fCo+VlpbGO47X2JtsoAcb6MEuzur4Yz0AgD0M7QEgRBiO2UAPdnFXwPjr2rWrSkpKJElt27aNXf/yyy/VtGlTV7G8xN5kAz3YQA92cVbHH+sBAOxhaA8AIcJwzAZ6sKtHjx6uI3gnJydHaWlpJ12/5JJL9MQTTzhI5C/2JhvowQZ6sIuzOv5YDwBgD29ECwAAQm/79u365JNPFASBmjVrFnvZN+InOztbt956q26++WZVq1bNdRwAgDGc1QAAHMcz7QEghLKzszVr1iwVFRW5juI1erBh0aJFys7O1ltvvaU333xTnTp10htvvOE6lncGDRqkzz//XL/4xS/Ur18/ffjhh9wCwRH2JhvowQZ6sIGz2gbWAwDYwTPtASCEVq1apXnz5undd99VZmamOnfurJ///Oe8kVSc0YMN7dq109SpU1W3bl1JUkFBge6++24tW7bMcTI/HThwQMuWLVNeXp62bdum9957z3Uk77A32UAPNtCDDZzVNrAeAMAOhvYAEGIMx2ygB7eys7OVl5f3L68hPnbv3q358+dr3rx5SkxM1KJFi1xH8hZ7kw30YAM9uMVZbQvrAQDcS3IdAABw+hw4cECFhYXas2eP0tPTXcfxFj24dd1112nChAm67bbbFI1GNXfuXLVq1Sr2hmunepNU/Pj++Mc/at68eVq3bp3atWunUaNGqVGjRq5jeY29yQZ6sIEe3OKstoX1AADu8Ux7AAihfxyOZWdnMxxzgB5saNCgwfc+FgSBNmzYEMc0/urVq5c6deqkG264QZUrV3Ydx2vsTTbQgw30YANntQ2sBwCwg6E9AIQQwzEb6AE4tby8PGVnZ7uO4S32JhvowQZ6AI5jPQCAHQztASDkGI7ZQA9uRCIRdejQQUuWLHEdBSfgPsV2sDfZQA820IMbnNU2sR4AwK0E1wEAAKdXbm6u6wgQPbiSmJiomjVr6uDBg66j4AQ8Z8QO9iYb6MEGenCDs9om1gMAuMUb0QJAyDEcs4Ee3Lngggt0xx13qF27dkpNTY1d7969u8NUfuvRo4frCPgOe5MN9GADPbjDWW0P6wEA3GJoDwAhx3DMBnpwJxqN6rLLLtOWLVtcR/He9u3b9cknnyghIUHbt29XnTp1XEfyHnuTDfRgAz24w1ltD+sBANzinvYAEFLHhmNBEKhZs2YMxxyhB+CoRYsWafjw4brqqqsUjUa1evVqPf7447rppptcR/MSe5MN9GADPQDHsR4AwAaG9gAQQgzHbKAHt1atWqXmzZtr+fLlp3y8devWcU7kt3bt2mnq1KmqW7euJKmgoEB33323li1b5jiZf9ibbKAHG+jBLc5qW1gPAGAHt8cBgBCaNGmSXn/99ZOGY3zDHV/04NbChQvVvHlzzZgx46THgiBgEBBnKSkpsbUgSeeff75SUlIcJvIXe5MN9GADPbjFWW0L6wEA7GBoDwAhxHDMBnpwa/jw4ZKkmTNnOk4CSbruuus0YcIE3XbbbYpGo5o7d65atWqlkpISSVJaWprjhP5gb7KBHmygB7c4q21hPQCAHdweBwBC6Nlnn1ViYmKF4diRI0fUq1cvSQzH4oUe7Ni1a5cKCgoUiURi16666iqHifzToEGD730sCAJt2LAhjmn8xt5kAz3YQA92cFa7x3oAADsY2gNACDEcs4EebHjuuec0bdo01a1bVwkJCZKO/vt//fXXHScD3GBvsoEebKAHGzirbWA9AIAdDO0BAECotWnTRq+99ppq1KjhOoq3IpGIOnTooCVLlriOAgAwiLMaAICKElwHAAD8uCKRiNq3b+86hvfowY6MjAyGAI4lJiaqZs2aOnjwoOso3mNvsoEebKAHOzir3WM9AIAtvBEtAITMicMx3jjKHXpwLz8/X5J0zTXXaMSIEerQoYOSk5Njj/+zl4Djx3fBBRfojjvuULt27ZSamhq73r17d4ep/MPeZAM92EAP7nFW28F6AABbGNoDQAgxHLOBHtx64IEHKny+fPny2MdBEFT4HKdfNBrVZZddpi1btriO4j32JhvowQZ6cIuz2hbWAwDYwdAeAEKI4ZgN9ODWO++8I+noAKBZs2aqVq2aJKmoqEhr1qxxGc1LI0eOdB0B32FvsoEebKAHtzirbWE9AIAdvBEtAAAItY4dO2rBggWxz6PRqDp16qS8vDyHqfyxatUqNW/e/HufLdm6des4JwIAWMNZDQBARTzTHgBChOGYDfRgWxAEikQirmN4Y+HChWrevLlmzJhx0mNBELAe4oi9yQZ6sIEebOOsji/WAwDYw9AeAEKE4ZgN9GBLlSpVtGbNGjVp0kSStHr1alWpUsVxKn8MHz5ckjRz5kzHScDeZAM92EAPtnBWu8V6AAB7uD0OAAAItbVr16pPnz6qV6+eJGnz5s2aNGmSGjVq5DiZf3bt2qWCgoIKz5686qqrHCYCAFjAWQ0AQEUM7QEgpBiO2UAPNhQVFenTTz+VJF155ZWqWrWq20Aeeu655zRt2jTVrVtXCQkJko4+e+/11193nMxP7E020IMN9GADZ7UNrAcAsIGhPQCEEMMxG+gBOK5NmzZ67bXXVKNGDddRvMfeZAM92EAPwHGsBwCwg3vaA0AIzZ07V2+99RbDMcfoATguIyODtWAEe5MN9GADPQDHsR4AwA6G9gAQQgzHbKAHQMrPz5ckXXPNNRoxYoQ6dOig5OTk2OMNGjRwFc1b7E020IMN9AAcx3oAADu4PQ4AhMix4dgf//hHFRcXMxxzhB6A466//vrvfSwIAi1fvjyOafzG3mQDPdhAD8BxrAcAsIehPQCECMMxG+gBONny5cvVrFkzVatWTdLRNxxcs2aNWrVq5TiZP9ibbKAHG+gBOI71AAD2MLQHgBBiOGYDPQDHdezYUQsWLIh9Ho1G1alTJ+Xl5TlM5Sf2JhvowQZ6AI5jPQCAHQmuAwAAfnzjx4+PfbMtSVWrVtX48eMdJvITPQDfLwgCRSIR1zG8xN5kAz3YQA/AcawHALCDoT0AeIDhmA30AJ9VqVJFa9asiX2+evVqValSxWEiHMPeZAM92EAPwHGsBwBwh6E9AIQQwzEb6AE4buDAgerbt6+6deumbt26qV+/fho0aJDrWF5ib7KBHmygB+A41gMA2ME97QEghNauXas+ffqoXr16kqTNmzdr0qRJatSokeNkfqEHoKKioiJ9+umnkqQrr7xSVatWdRvIU+xNNtCDDfQAHMd6AAA7GNoDQEgxHLOBHgBYxN5kAz3YQA/AcawHALCBoT0AAAAAAAAAAEZwT3sAAAAAAAAAAIxgaA8AAAAAAAAAgBEM7QEAAAAAAAAAMIKhPQAAAAAAAAAARjC0BwAAAAAAAADACIb2AAAAAAAAAAAYwdAeAAAAAAAAAAAj/j8MN44tWll/wAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1800x1800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"is cover\")\n",
    "get_preference_counts(\n",
    "    user_intersting_clips_3p5[(user_intersting_clips_3p5[\"task\"] == \"cover\")],\n",
    "    \"is cover\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:36.523193Z",
     "iopub.status.busy": "2024-10-13T14:05:36.522933Z",
     "iopub.status.idle": "2024-10-13T14:05:38.364938Z",
     "shell.execute_reply": "2024-10-13T14:05:38.364286Z",
     "shell.execute_reply.started": "2024-10-13T14:05:36.523177Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "is infill\n",
      "len pos models: 12595\n",
      "differing counts: 7115\n",
      "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 21, total 21.\n",
      "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, (1.000, 1.000), counts 94, total 94.\n",
      "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 1357, total 1357.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5, win ratio 0.531, (0.505, 0.557), counts 761, total 1434.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.484, (0.453, 0.514), counts 499, total 1032.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.329, (0.280, 0.377), counts 118, total 359.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.456, (0.426, 0.486), counts 481, total 1055.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.353, (0.305, 0.401), counts 132, total 374.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.485, (0.454, 0.516), counts 484, total 997.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.333, (0.287, 0.378), counts 135, total 406.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.508, (0.478, 0.538), counts 538, total 1059.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.363, (0.316, 0.411), counts 145, total 399.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-3, win ratio 0.469, (0.443, 0.495), counts 673, total 1434.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 4008, total 4008.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_2, win ratio 0.516, (0.486, 0.547), counts 533, total 1032.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_3, win ratio 0.671, (0.623, 0.720), counts 241, total 359.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 0.544, (0.514, 0.574), counts 574, total 1055.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_3, win ratio 0.647, (0.599, 0.695), counts 242, total 374.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_2, win ratio 0.515, (0.484, 0.546), counts 513, total 997.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_3, win ratio 0.667, (0.622, 0.713), counts 271, total 406.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_2, win ratio 0.492, (0.462, 0.522), counts 521, total 1059.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 0.637, (0.589, 0.684), counts 254, total 399.\n",
      "tournament players: ['chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_3']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 889.11it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ELOs\n",
      "chirp-v3p5-engine-t-3: 1068.6, (1051, 1086)\n",
      "chirp-v3p5-engine-t-5: 1047.3, (1039, 1056)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2: 1035.9, (1014, 1058)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3: 923.7, (887, 958)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2: 1016.6, (996, 1038)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3: 941.8, (907, 975)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2: 1037.3, (1018, 1058)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3: 926.0, (894, 958)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2: 1053.1, (1032, 1074)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3: 949.6, (915, 982)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x1800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"is infill\")\n",
    "get_preference_counts(\n",
    "    user_intersting_clips_3p5[(user_intersting_clips_3p5[\"task\"] == \"infill\")],\n",
    "    \"is infill\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:38.366190Z",
     "iopub.status.busy": "2024-10-13T14:05:38.365784Z",
     "iopub.status.idle": "2024-10-13T14:05:40.484393Z",
     "shell.execute_reply": "2024-10-13T14:05:40.483786Z",
     "shell.execute_reply.started": "2024-10-13T14:05:38.366174Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "is artist\n",
      "len pos models: 165\n",
      "differing counts: 110\n",
      "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n",
      "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5, win ratio 0.519, (0.330, 0.707), counts 14, total 27.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.643, (0.392, 0.894), counts 9, total 14.\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.333, (-0.044, 0.711), counts 2, total 6.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.529, (0.292, 0.767), counts 9, total 17.\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.667, (0.359, 0.975), counts 6, total 9.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.600, (0.296, 0.904), counts 6, total 10.\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.400, (-0.029, 0.829), counts 2, total 5.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-5, win ratio 0.438, (0.194, 0.681), counts 7, total 16.\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.833, (0.535, 1.132), counts 5, total 6.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-3, win ratio 0.481, (0.293, 0.670), counts 13, total 27.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 54, total 54.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_2, win ratio 0.357, (0.106, 0.608), counts 5, total 14.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_3, win ratio 0.667, (0.289, 1.044), counts 4, total 6.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_2, win ratio 0.471, (0.233, 0.708), counts 8, total 17.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_3, win ratio 0.333, (0.025, 0.641), counts 3, total 9.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_2, win ratio 0.400, (0.096, 0.704), counts 4, total 10.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_3, win ratio 0.600, (0.171, 1.029), counts 3, total 5.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_2, win ratio 0.562, (0.319, 0.806), counts 9, total 16.\n",
      "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 0.167, (-0.132, 0.465), counts 1, total 6.\n",
      "tournament players: ['chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_2', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_3']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 673.09it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ELOs\n",
      "chirp-v3p5-engine-t-3: 975.7, (688, 1244)\n",
      "chirp-v3p5-engine-t-5: 962.9, (680, 1179)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_2: 1064.9, (768, 1353)\n",
      "chirp-v3p5-engine-t-5_s_30_t_12_tag_3: 842.5, (-792, 1178)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_2: 983.3, (626, 1272)\n",
      "chirp-v3p5-engine-t-5_s_max_t_12_tag_3: 1083.2, (752, 2515)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_2: 1033.4, (681, 2289)\n",
      "chirp-v3p5-engine-t-5_s_max_t_13_tag_3: 892.5, (-724, 2278)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_2: 919.3, (575, 1188)\n",
      "chirp-v3p5-engine-t-5_s_max_t_14_tag_3: 1242.2, (884, 2912)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x1800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"is artist\")\n",
    "get_preference_counts(\n",
    "    user_intersting_clips_3p5[\n",
    "        (user_intersting_clips_3p5[\"task\"] == \"artist_consistency\")\n",
    "    ],\n",
    "    \"is artist\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clean up SHIT\n",
    "\n",
    "to get the right play conts, we need the right df..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:25:08.095035Z",
     "start_time": "2024-05-26T00:25:07.782738Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:40.485599Z",
     "iopub.status.busy": "2024-10-13T14:05:40.485206Z",
     "iopub.status.idle": "2024-10-13T14:05:42.574063Z",
     "shell.execute_reply": "2024-10-13T14:05:42.573399Z",
     "shell.execute_reply.started": "2024-10-13T14:05:40.485583Z"
    }
   },
   "outputs": [],
   "source": [
    "def unpack_dict(x):\n",
    "    if v := concat_clips_ids.get(str(x)):\n",
    "        return v\n",
    "    else:\n",
    "        return {\n",
    "            \"total_start_s\": None,\n",
    "            \"total_clip_s\": None,\n",
    "            \"concat_play_counts\": None,\n",
    "            \"concat_in_playlist\": None,\n",
    "            \"concat_likes\": None,\n",
    "            \"concat_dislikes\": None,\n",
    "        }\n",
    "\n",
    "\n",
    "extra_cols = user_intersting_clips[\"id\"].apply(unpack_dict)\n",
    "extra_cols_df = pd.DataFrame.from_records(extra_cols.values, index=extra_cols.index)\n",
    "user_intersting_clips[\n",
    "    [\n",
    "        \"total_start_s\",\n",
    "        \"total_clip_s\",\n",
    "        \"concat_play_counts\",\n",
    "        \"concat_in_playlist\",\n",
    "        \"concat_likes\",\n",
    "        \"concat_dislikes\",\n",
    "    ]\n",
    "] = extra_cols_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:42.575292Z",
     "iopub.status.busy": "2024-10-13T14:05:42.574880Z",
     "iopub.status.idle": "2024-10-13T14:05:44.838197Z",
     "shell.execute_reply": "2024-10-13T14:05:44.837525Z",
     "shell.execute_reply.started": "2024-10-13T14:05:42.575276Z"
    }
   },
   "outputs": [],
   "source": [
    "def unpack_dict(x):\n",
    "    if v := concat_clips_ids.get(str(x)):\n",
    "        return v\n",
    "    else:\n",
    "        return {\n",
    "            \"total_start_s\": None,\n",
    "            \"total_clip_s\": None,\n",
    "            \"concat_play_counts\": None,\n",
    "            \"concat_in_playlist\": None,\n",
    "            \"concat_likes\": None,\n",
    "            \"concat_dislikes\": None,\n",
    "        }\n",
    "\n",
    "\n",
    "extra_cols = user_intersting_clips[\"id\"].apply(unpack_dict)\n",
    "extra_cols_df = pd.DataFrame.from_records(extra_cols.values, index=extra_cols.index)\n",
    "user_intersting_clips[\n",
    "    [\n",
    "        \"total_start_s\",\n",
    "        \"total_clip_s\",\n",
    "        \"concat_play_counts\",\n",
    "        \"concat_in_playlist\",\n",
    "        \"concat_likes\",\n",
    "        \"concat_dislikes\",\n",
    "    ]\n",
    "] = extra_cols_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:25:08.361849Z",
     "start_time": "2024-05-26T00:25:08.199583Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:44.839295Z",
     "iopub.status.busy": "2024-10-13T14:05:44.839039Z",
     "iopub.status.idle": "2024-10-13T14:05:44.865845Z",
     "shell.execute_reply": "2024-10-13T14:05:44.865250Z",
     "shell.execute_reply.started": "2024-10-13T14:05:44.839280Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Positive proportion of data meeting criteria: 38.70%\n",
      "Negative proportion of data meeting criteria: 100.00%\n"
     ]
    }
   ],
   "source": [
    "pos_too_much_data_mask = (\n",
    "    (user_intersting_clips[\"preference\"])\n",
    "    & (\n",
    "        (\n",
    "            user_intersting_clips[\"reaction_play_count\"] >= 3\n",
    "        )  # single play is super catchy\n",
    "        | (\n",
    "            user_intersting_clips[\"concat_play_counts\"] >= 3\n",
    "        )  # or the concat play is super catchy\n",
    "    )\n",
    "    # & (user_intersting_clips[\"user_n_clips\"] >= 40)\n",
    "    # & (user_intersting_clips[\"continued_parent\"].isna())\n",
    ")\n",
    "neg_too_much_data_mask = (\n",
    "    (~user_intersting_clips[\"preference\"])\n",
    "    & (user_intersting_clips[\"reaction_play_count\"] >= 1)  # single play is super catchy\n",
    "    # & (user_intersting_clips[\"user_n_clips\"] >= 40)\n",
    "    # & (user_intersting_clips[\"continued_parent\"].isna())\n",
    ")\n",
    "# Calculate and print the proportion of data that meets our criteria\n",
    "pos_proportion = pos_too_much_data_mask.sum() / user_intersting_clips.shape[0] * 2\n",
    "print(f\"Positive proportion of data meeting criteria: {pos_proportion:.2%}\")\n",
    "neg_proportion = neg_too_much_data_mask.sum() / user_intersting_clips.shape[0] * 2\n",
    "print(f\"Negative proportion of data meeting criteria: {neg_proportion:.2%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:25:08.523643Z",
     "start_time": "2024-05-26T00:25:08.367348Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:44.866984Z",
     "iopub.status.busy": "2024-10-13T14:05:44.866590Z",
     "iopub.status.idle": "2024-10-13T14:05:49.532494Z",
     "shell.execute_reply": "2024-10-13T14:05:49.531807Z",
     "shell.execute_reply.started": "2024-10-13T14:05:44.866967Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Name Value Counts for Preferred Clips:\n",
      "----------------------------------------------------------------------\n",
      "Model                               Count        Fraction\n",
      "----------------------------------------------------------------------\n",
      "chirp-v3p5-engine-s-8             277,652          74.60%\n",
      "chirp-v3p5-engine-t-5              52,369          14.07%\n",
      "chirp-v3p5-engine-upload-4         19,844           5.33%\n",
      "chirp-v3p5-engine-s-29             19,533           5.25%\n",
      "chirp-v3p5-engine-t-3               2,458           0.66%\n",
      "chirp-v3p5-engine-ft-1                172           0.05%\n",
      "chirp-v3p5-engine-b                    93           0.02%\n",
      "chirp-v3p5-engine-short                43           0.01%\n",
      "----------------------------------------------------------------------\n",
      "Total                             372,164         100.00%\n"
     ]
    }
   ],
   "source": [
    "final_good_enough_requests = set(\n",
    "    user_intersting_clips[pos_too_much_data_mask][\"request_id\"].unique()\n",
    ").intersection(\n",
    "    set(user_intersting_clips[neg_too_much_data_mask][\"request_id\"].unique())\n",
    ")\n",
    "final_interesting_clips = user_intersting_clips[\n",
    "    user_intersting_clips[\"request_id\"].isin(final_good_enough_requests)\n",
    "].copy()\n",
    "# Get the value counts of model_name for preferred clips\n",
    "model_counts = final_interesting_clips[final_interesting_clips[\"preference\"]][\n",
    "    \"model_name\"\n",
    "].value_counts()\n",
    "\n",
    "# Print the results in a nicely formatted way\n",
    "total_count = model_counts.sum()\n",
    "print(\"Model Name Value Counts for Preferred Clips:\")\n",
    "print(\"-\" * 70)\n",
    "print(f\"{'Model':<30} {'Count':>10} {'Fraction':>15}\")\n",
    "print(\"-\" * 70)\n",
    "for model, count in model_counts.items():\n",
    "    fraction = count / total_count\n",
    "    print(f\"{model:<30} {count:>10,d} {fraction:>15.2%}\")\n",
    "print(\"-\" * 70)\n",
    "print(f\"{'Total':<30} {total_count:>10,d} {1:>15.2%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:25:09.198504Z",
     "start_time": "2024-05-26T00:25:08.885507Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:49.533638Z",
     "iopub.status.busy": "2024-10-13T14:05:49.533314Z",
     "iopub.status.idle": "2024-10-13T14:05:51.026082Z",
     "shell.execute_reply": "2024-10-13T14:05:51.025385Z",
     "shell.execute_reply.started": "2024-10-13T14:05:49.533622Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Validation passed!\n"
     ]
    }
   ],
   "source": [
    "validate_preference_data(final_interesting_clips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:51.030579Z",
     "iopub.status.busy": "2024-10-13T14:05:51.030322Z",
     "iopub.status.idle": "2024-10-13T14:05:51.564565Z",
     "shell.execute_reply": "2024-10-13T14:05:51.563871Z",
     "shell.execute_reply.started": "2024-10-13T14:05:51.030563Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows in final_interesting_clips for model chirp-v3p5-engine-t-5:\n",
      "104,552\n",
      "done (744328, 57)\n"
     ]
    }
   ],
   "source": [
    "# Get the number of rows for final_interesting_clips with the specific model\n",
    "row_count = final_interesting_clips[\n",
    "    final_interesting_clips[\"model_name\"] == target_model_name\n",
    "].shape[0]\n",
    "\n",
    "# Print the row count in a nicely formatted way\n",
    "print(f\"Number of rows in final_interesting_clips for model {target_model_name}:\")\n",
    "print(f\"{row_count:,}\")\n",
    "print(\"done\", final_interesting_clips.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# For faster processing once"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:25:10.265241Z",
     "start_time": "2024-05-26T00:25:09.934743Z"
    },
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:51.565587Z",
     "iopub.status.busy": "2024-10-13T14:05:51.565362Z",
     "iopub.status.idle": "2024-10-13T14:05:51.816498Z",
     "shell.execute_reply": "2024-10-13T14:05:51.816147Z",
     "shell.execute_reply.started": "2024-10-13T14:05:51.565573Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Unique Users:\n",
      "--------------------\n",
      "1,097,824\n",
      "--------------------\n",
      "Series([], Name: count, dtype: int64)\n",
      "(0, 47)\n"
     ]
    },
    {
     "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>id</th>\n",
       "      <th>password</th>\n",
       "      <th>last_login</th>\n",
       "      <th>is_superuser</th>\n",
       "      <th>username</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>email</th>\n",
       "      <th>is_staff</th>\n",
       "      <th>is_active</th>\n",
       "      <th>date_joined</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>27205089</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>perkintonpatricia441@gmail.com</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>perkintonpatricia441@gmail.com</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2024-07-08 16:16:06.847119+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         id password last_login  is_superuser                        username first_name last_name                           email  is_staff  is_active                      date_joined\n",
       "0  27205089                None         False  perkintonpatricia441@gmail.com                       perkintonpatricia441@gmail.com     False       True 2024-07-08 16:16:06.847119+00:00"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the number of unique users\n",
    "total_unique_users = clip_df[\"user_id\"].nunique()\n",
    "\n",
    "# Print the result in a nicely formatted way\n",
    "print(\"Total Unique Users:\")\n",
    "print(\"-\" * 20)\n",
    "print(f\"{total_unique_users:,}\")\n",
    "print(\"-\" * 20)\n",
    "\n",
    "# This can take a while cause we have a lot of users...\n",
    "# query = \"\"\"\n",
    "# SELECT *\n",
    "# FROM auth_user\n",
    "# \"\"\"\n",
    "# user_df = pd.read_sql_query(query, engine)\n",
    "# user_df.head()\n",
    "\n",
    "test_user_id = 4688272\n",
    "print(\n",
    "    clip_df[clip_df[\"user_id\"] == test_user_id][\"created_at\"]\n",
    "    .apply(lambda x: str(x)[:10])\n",
    "    .value_counts()\n",
    ")\n",
    "print(clip_df[clip_df[\"user_id\"] == test_user_id].shape)\n",
    "query = \"\"\"\n",
    "SELECT *\n",
    "FROM auth_user\n",
    "WHERE id=27205089\n",
    "\"\"\"\n",
    "# 3 keenan\n",
    "# 6 martin\n",
    "# 8 tony -- that's me!\n",
    "# 186417 georg\n",
    "test_user_df = pd.read_sql_query(query, engine)\n",
    "test_user_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find some weird generations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:05:51.817143Z",
     "iopub.status.busy": "2024-10-13T14:05:51.817022Z",
     "iopub.status.idle": "2024-10-13T14:06:19.556957Z",
     "shell.execute_reply": "2024-10-13T14:06:19.556571Z",
     "shell.execute_reply.started": "2024-10-13T14:05:51.817130Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of no_reaction_clip_df:\n",
      "(5270611, 47)\n",
      "\n",
      "Proportion of clips without reactions:\n",
      "27.83%\n",
      "Ratio of clips without reactions to total clips from the same users:\n",
      "0.8466\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "free 44868\n",
      "pro 4709\n",
      "Ratio of clips from super bad users: 6.14%\n",
      "DONE\n"
     ]
    }
   ],
   "source": [
    "run_bot_detection(clip_df, reaction_df, write_to_file=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Alpha testing user selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:06:19.557941Z",
     "iopub.status.busy": "2024-10-13T14:06:19.557522Z",
     "iopub.status.idle": "2024-10-13T14:06:19.576569Z",
     "shell.execute_reply": "2024-10-13T14:06:19.576284Z",
     "shell.execute_reply.started": "2024-10-13T14:06:19.557928Z"
    }
   },
   "outputs": [],
   "source": [
    "# Alpha testing user selection\n",
    "# we focus on the folks who are good good\n",
    "\n",
    "# # 0526 is v2 -- prod\n",
    "# # 0529 is v4 -- still good IMO, more data\n",
    "# early_v3p5_data = pd.read_csv(\"/home/tony/Data/Preference/13b_v0/interesting_clips_20240529.csv\")\n",
    "\n",
    "# print(\"uqniue users for vp5\", early_v3p5_data[\"user_id\"].nunique())\n",
    "\n",
    "# early_v3_data = pd.read_csv(\"/home/tony/Data/Preference/7b_v0_interesting_clips.csv\")\n",
    "\n",
    "# print(\"uqniue users for v3\", early_v3_data[\"user_id\"].nunique())\n",
    "\n",
    "# early_v2_data = pd.read_csv(\"/home/tony/Data/Preference/3b_v0_interesting_clips.csv\")\n",
    "\n",
    "# print(\"uqniue users for v2\", early_v2_data[\"user_id\"].nunique())\n",
    "\n",
    "# intersection_user_ids_super = set(early_v3p5_data[\"user_id\"].unique()).intersection(set(early_v3_data[\"user_id\"].unique())).intersection(set(early_v2_data[\"user_id\"].unique()))\n",
    "\n",
    "# intersection_user_ids_v3_on = set(early_v3p5_data[\"user_id\"].unique()).intersection(set(early_v3_data[\"user_id\"].unique())).difference(intersection_user_ids_super)\n",
    "\n",
    "# print(len(intersection_user_ids_super), len(intersection_user_ids_v3_on))\n",
    "\n",
    "# super_user_df = user_df[user_df[\"id\"].isin(intersection_user_ids_super)].copy()\n",
    "# print(super_user_df.shape)\n",
    "# v3_onward_user_df = user_df[user_df[\"id\"].isin(intersection_user_ids_v3_on)].copy()\n",
    "# print(v3_onward_user_df.shape)\n",
    "# super_user_df.to_csv(\"/home/tony/Data/Preference/alpha_users/super_user.csv\", index=False)\n",
    "# v3_onward_user_df.to_csv(\"/home/tony/Data/Preference/alpha_users/v3_onward_user.csv\", index=False)\n",
    "# print(\"Done!!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# User generated clips lifetime filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:06:19.577194Z",
     "iopub.status.busy": "2024-10-13T14:06:19.576987Z",
     "iopub.status.idle": "2024-10-13T14:07:31.100262Z",
     "shell.execute_reply": "2024-10-13T14:07:31.099735Z",
     "shell.execute_reply.started": "2024-10-13T14:06:19.577180Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5684373, 25)\n",
      "1301455\n"
     ]
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT *\n",
    "FROM bots_userstats\n",
    "WHERE total_clips>=20\n",
    "\"\"\"\n",
    "user_stats_df = pd.read_sql_query(query, engine)\n",
    "print(user_stats_df.shape)\n",
    "user_stats_df[\"total_clips\"].describe()\n",
    "top_users = user_stats_df[user_stats_df[\"total_clips\"] >= 100][\"user_id\"].unique()\n",
    "print(len(top_users))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T19:35:17.755108Z",
     "iopub.status.busy": "2024-06-21T19:35:17.754937Z",
     "iopub.status.idle": "2024-06-21T19:35:17.774581Z",
     "shell.execute_reply": "2024-06-21T19:35:17.774106Z",
     "shell.execute_reply.started": "2024-06-21T19:35:17.755091Z"
    }
   },
   "source": [
    "# Snow flake access"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:07:31.101178Z",
     "iopub.status.busy": "2024-10-13T14:07:31.100936Z",
     "iopub.status.idle": "2024-10-13T14:07:32.107275Z",
     "shell.execute_reply": "2024-10-13T14:07:32.106926Z",
     "shell.execute_reply.started": "2024-10-13T14:07:31.101164Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROD\n"
     ]
    }
   ],
   "source": [
    "if not os.path.exists(snow_password_path):\n",
    "    raise Exception(\"you are not authorized to access snowflake -- please setup\")\n",
    "\n",
    "snow_session = Session.builder.configs(CONNECTION_PARAMETERS).create()\n",
    "\n",
    "snow_root = Root(snow_session)\n",
    "snow_schema = snow_root.databases[\"SUNO_PROD\"].schemas[\"PROD\"]\n",
    "print(snow_schema.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:07:32.108010Z",
     "iopub.status.busy": "2024-10-13T14:07:32.107802Z",
     "iopub.status.idle": "2024-10-13T14:07:32.518945Z",
     "shell.execute_reply": "2024-10-13T14:07:32.518591Z",
     "shell.execute_reply.started": "2024-10-13T14:07:32.107996Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(104552, 57)\n",
      "(99458, 57)\n"
     ]
    }
   ],
   "source": [
    "# select the df we want to squery for play counts\n",
    "subset_v4_clips_df_all = final_interesting_clips[\n",
    "    final_interesting_clips[\"model_name\"] == target_model_name\n",
    "].copy()\n",
    "print(subset_v4_clips_df_all.shape)\n",
    "pair_request_mask = subset_v4_clips_df_all[\"request_id\"].isin(\n",
    "    subset_v4_clips_df_all[\"request_id\"]\n",
    "    .value_counts()\n",
    "    .index[subset_v4_clips_df_all[\"request_id\"].value_counts() == 2]\n",
    ")\n",
    "subset_v4_clips_df = subset_v4_clips_df_all[pair_request_mask].copy()\n",
    "print(subset_v4_clips_df.shape)\n",
    "v4_clip_ids = list(str(s) for s in subset_v4_clips_df[\"id\"].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:07:32.519596Z",
     "iopub.status.busy": "2024-10-13T14:07:32.519472Z",
     "iopub.status.idle": "2024-10-13T14:07:58.810961Z",
     "shell.execute_reply": "2024-10-13T14:07:58.810598Z",
     "shell.execute_reply.started": "2024-10-13T14:07:32.519584Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|                                                                                                                          | 0/1 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of clip IDs in this chunk: 99458\n",
      "Length of the ID query string: 3878861\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:26<00:00, 26.27s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "snow_batch_size = 100_000\n",
    "snow_results = []\n",
    "for clip_ids_chunk in tqdm.tqdm(\n",
    "    [\n",
    "        v4_clip_ids[i : i + snow_batch_size]\n",
    "        for i in range(0, len(v4_clip_ids), snow_batch_size)\n",
    "    ]\n",
    "):\n",
    "    id_query_str = \",\".join(\"'\" + x + \"'\" for x in clip_ids_chunk)\n",
    "    print(f\"Number of clip IDs in this chunk: {len(clip_ids_chunk)}\")\n",
    "    print(f\"Length of the ID query string: {len(id_query_str)}\")\n",
    "\n",
    "    session_query = snow_session.sql(\n",
    "        f\"\"\" select *\n",
    "        from ML_SONG_SUMMARY_INFO\n",
    "        where p_date = DATE(SYSDATE() - INTERVAL '2 HOUR')\n",
    "        and p_hour = hour(SYSDATE() - INTERVAL '2 HOUR')\n",
    "        and song_id in ({id_query_str})\n",
    "        order by p_hour desc;\"\"\"\n",
    "    )\n",
    "    temp_df_snow_test = pd.DataFrame(session_query.collect())\n",
    "    snow_results.append(temp_df_snow_test)\n",
    "print(len(snow_results))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:07:58.811944Z",
     "iopub.status.busy": "2024-10-13T14:07:58.811503Z",
     "iopub.status.idle": "2024-10-13T14:07:58.839065Z",
     "shell.execute_reply": "2024-10-13T14:07:58.838741Z",
     "shell.execute_reply.started": "2024-10-13T14:07:58.811929Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of df_snow_test:\n",
      "Rows: 96900\n",
      "Columns: 10\n"
     ]
    }
   ],
   "source": [
    "df_snow_test = pd.concat(snow_results)\n",
    "df_snow_test = df_snow_test.rename(columns=lambda x: x.lower())\n",
    "df_snow_test = df_snow_test.rename(columns={\"song_id\": \"str_id\"})\n",
    "print(\"Shape of df_snow_test:\")\n",
    "print(f\"Rows: {df_snow_test.shape[0]}\")\n",
    "print(f\"Columns: {df_snow_test.shape[1]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:07:58.839676Z",
     "iopub.status.busy": "2024-10-13T14:07:58.839549Z",
     "iopub.status.idle": "2024-10-13T14:07:59.096664Z",
     "shell.execute_reply": "2024-10-13T14:07:59.096276Z",
     "shell.execute_reply.started": "2024-10-13T14:07:58.839663Z"
    }
   },
   "outputs": [],
   "source": [
    "subset_v4_clips_df[\"str_id\"] = subset_v4_clips_df[\"id\"].astype(str)\n",
    "subset_v4_clips_df_test = subset_v4_clips_df.merge(\n",
    "    df_snow_test, on=\"str_id\", how=\"left\"\n",
    ")\n",
    "subset_v4_clips_df_test[\"norm_play_frac\"] = (\n",
    "    subset_v4_clips_df_test[\"total_play_time\"].fillna(0)\n",
    "    / subset_v4_clips_df_test[\"duration\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:07:59.097610Z",
     "iopub.status.busy": "2024-10-13T14:07:59.097205Z",
     "iopub.status.idle": "2024-10-13T14:07:59.980754Z",
     "shell.execute_reply": "2024-10-13T14:07:59.980420Z",
     "shell.execute_reply.started": "2024-10-13T14:07:59.097596Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a figure with two subplots\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16, 6))\n",
    "\n",
    "# First subplot: Total play duration\n",
    "pos_play_time = subset_v4_clips_df_test[subset_v4_clips_df_test[\"preference\"]][\n",
    "    \"total_play_time\"\n",
    "]\n",
    "neg_play_time = subset_v4_clips_df_test[~subset_v4_clips_df_test[\"preference\"]][\n",
    "    \"total_play_time\"\n",
    "]\n",
    "\n",
    "pos_play_time.hist(\n",
    "    bins=np.linspace(0, 400, 100),\n",
    "    alpha=0.5,\n",
    "    label=f\"pos (mean={pos_play_time.mean():.2f}, median={pos_play_time.median():.2f})\",\n",
    "    ax=ax1,\n",
    ")\n",
    "neg_play_time.hist(\n",
    "    bins=np.linspace(0, 400, 100),\n",
    "    alpha=0.5,\n",
    "    label=f\"neg (mean={neg_play_time.mean():.2f}, median={neg_play_time.median():.2f})\",\n",
    "    ax=ax1,\n",
    ")\n",
    "ax1.legend()\n",
    "ax1.set_xlabel(\"Total play duration in seconds\")\n",
    "ax1.set_ylabel(\"counts\")\n",
    "ax1.set_title(\"Play duration comparison\")\n",
    "\n",
    "# Second subplot: Normalized play fraction\n",
    "pos_norm_play_frac = subset_v4_clips_df_test[subset_v4_clips_df_test[\"preference\"]][\n",
    "    \"norm_play_frac\"\n",
    "]\n",
    "neg_norm_play_frac = subset_v4_clips_df_test[~subset_v4_clips_df_test[\"preference\"]][\n",
    "    \"norm_play_frac\"\n",
    "]\n",
    "\n",
    "pos_norm_play_frac.hist(\n",
    "    bins=np.linspace(0, 10, 100),\n",
    "    alpha=0.5,\n",
    "    label=f\"pos (mean={pos_norm_play_frac.mean():.2f}, median={pos_norm_play_frac.median():.2f})\",\n",
    "    ax=ax2,\n",
    ")\n",
    "neg_norm_play_frac.hist(\n",
    "    bins=np.linspace(0, 10, 100),\n",
    "    alpha=0.5,\n",
    "    label=f\"neg (mean={neg_norm_play_frac.mean():.2f}, median={neg_norm_play_frac.median():.2f})\",\n",
    "    ax=ax2,\n",
    ")\n",
    "ax2.legend()\n",
    "ax2.set_xlabel(\"Normalized play counts (play duration/duration)\")\n",
    "ax2.set_ylabel(\"Log counts\")\n",
    "ax2.set_yscale(\"log\")\n",
    "ax2.set_title(\"Normalized play duration comparison (Log scale)\")\n",
    "\n",
    "# Adjust layout and display the plot\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:07:59.981709Z",
     "iopub.status.busy": "2024-10-13T14:07:59.981504Z",
     "iopub.status.idle": "2024-10-13T14:08:00.152131Z",
     "shell.execute_reply": "2024-10-13T14:08:00.151764Z",
     "shell.execute_reply.started": "2024-10-13T14:07:59.981696Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fraction of clips that pass the play duration cut: 0.6628\n",
      "Number of unique requests passing play duration criteria: 40981\n",
      "Fraction of unique requests that pass play duration criteria: 0.8241\n"
     ]
    }
   ],
   "source": [
    "play_duration_mask = (\n",
    "    subset_v4_clips_df_test[\"preference\"]\n",
    "    & (subset_v4_clips_df_test[\"norm_play_frac\"] >= 0.95)\n",
    "    & (subset_v4_clips_df_test[\"total_play_time\"] >= 10)\n",
    "    & (subset_v4_clips_df_test[\"user_id\"].isin(top_users))\n",
    "    & (\n",
    "        (subset_v4_clips_df_test[\"reaction_play_count\"] >= 3)\n",
    "        | (subset_v4_clips_df_test[\"concat_play_counts\"] >= 3)\n",
    "    )\n",
    ") | (\n",
    "    (~subset_v4_clips_df_test[\"preference\"])\n",
    "    & (subset_v4_clips_df_test[\"norm_play_frac\"] <= 3.1)\n",
    "    & (subset_v4_clips_df_test[\"total_play_time\"] >= 3)\n",
    "    & (subset_v4_clips_df_test[\"user_id\"].isin(top_users))\n",
    ")\n",
    "# Calculate the fraction of clips that pass the play duration cut\n",
    "frac_pass_play_duration = play_duration_mask.sum() / subset_v4_clips_df_test.shape[0]\n",
    "\n",
    "# Print the result with a formatted string\n",
    "print(\n",
    "    f\"Fraction of clips that pass the play duration cut: {frac_pass_play_duration:.4f}\"\n",
    ")\n",
    "\n",
    "# Get unique request IDs that pass the play duration criteria\n",
    "unique_requests_pass_play_durations = subset_v4_clips_df_test[play_duration_mask][\n",
    "    \"request_id\"\n",
    "].unique()\n",
    "\n",
    "# Print the number of unique requests that pass the play duration criteria\n",
    "print(\n",
    "    f\"Number of unique requests passing play duration criteria: {len(unique_requests_pass_play_durations)}\"\n",
    ")\n",
    "\n",
    "# Calculate the fraction of unique requests that pass play duration criteria\n",
    "fraction_requests_pass = (\n",
    "    len(unique_requests_pass_play_durations)\n",
    "    / subset_v4_clips_df_test[\"request_id\"].nunique()\n",
    ")\n",
    "\n",
    "# Print the result with a formatted string\n",
    "print(\n",
    "    f\"Fraction of unique requests that pass play duration criteria: {fraction_requests_pass:.4f}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:08:00.152778Z",
     "iopub.status.busy": "2024-10-13T14:08:00.152655Z",
     "iopub.status.idle": "2024-10-13T14:08:00.432351Z",
     "shell.execute_reply": "2024-10-13T14:08:00.431939Z",
     "shell.execute_reply.started": "2024-10-13T14:08:00.152766Z"
    }
   },
   "outputs": [],
   "source": [
    "subset_v4_clips_df_pass_duration = subset_v4_clips_df_test[play_duration_mask].copy()\n",
    "play_duration_mask_request_mask = subset_v4_clips_df_pass_duration[\"request_id\"].isin(\n",
    "    subset_v4_clips_df_pass_duration[\"request_id\"]\n",
    "    .value_counts()\n",
    "    .index[subset_v4_clips_df_pass_duration[\"request_id\"].value_counts() == 2]\n",
    ")\n",
    "final_subset_v4_clips_df = subset_v4_clips_df_pass_duration[\n",
    "    play_duration_mask_request_mask\n",
    "].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:08:00.433130Z",
     "iopub.status.busy": "2024-10-13T14:08:00.432901Z",
     "iopub.status.idle": "2024-10-13T14:08:00.497326Z",
     "shell.execute_reply": "2024-10-13T14:08:00.496990Z",
     "shell.execute_reply.started": "2024-10-13T14:08:00.433117Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unique request IDs: 24,939, Total 49729\n"
     ]
    }
   ],
   "source": [
    "# Count and print the number of unique request IDs\n",
    "unique_request_count = final_subset_v4_clips_df[\"request_id\"].nunique()\n",
    "print(\n",
    "    f\"Number of unique request IDs: {unique_request_count:,}, Total {subset_v4_clips_df_test['request_id'].nunique()}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:08:00.498157Z",
     "iopub.status.busy": "2024-10-13T14:08:00.497829Z",
     "iopub.status.idle": "2024-10-13T14:08:00.553886Z",
     "shell.execute_reply": "2024-10-13T14:08:00.553591Z",
     "shell.execute_reply.started": "2024-10-13T14:08:00.498144Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(task\n",
       " cover                 56408\n",
       "                       30680\n",
       " infill                 8088\n",
       " extend                 4198\n",
       " artist_consistency       84\n",
       " Name: count, dtype: int64,\n",
       " task\n",
       " cover                 30442\n",
       "                       12124\n",
       " infill                 4894\n",
       " extend                 2366\n",
       " artist_consistency       52\n",
       " Name: count, dtype: int64)"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(\n",
    "    subset_v4_clips_df_test[\"task\"].value_counts(),\n",
    "    final_subset_v4_clips_df[\"task\"].value_counts(),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:08:00.554538Z",
     "iopub.status.busy": "2024-10-13T14:08:00.554357Z",
     "iopub.status.idle": "2024-10-13T14:08:00.596158Z",
     "shell.execute_reply": "2024-10-13T14:08:00.595858Z",
     "shell.execute_reply.started": "2024-10-13T14:08:00.554525Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49878, 68)\n"
     ]
    }
   ],
   "source": [
    "# final_subset_v4_clips_df.to_pickle(\n",
    "#     \"/home/tony/Data/Preference/30b_v3/interesting_clips_v4_t_4_20241007_full.pkl\",\n",
    "# )\n",
    "# final_subset_v4_clips_df.to_pickle(\n",
    "#     \"/home/tony/Data/Preference/13b_v1/interesting_clips_13b_s8_v29_20241007_full.pkl\",\n",
    "# )\n",
    "print(final_subset_v4_clips_df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:08:00.596937Z",
     "iopub.status.busy": "2024-10-13T14:08:00.596606Z",
     "iopub.status.idle": "2024-10-13T14:08:01.761772Z",
     "shell.execute_reply": "2024-10-13T14:08:01.761449Z",
     "shell.execute_reply.started": "2024-10-13T14:08:00.596923Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "task\n",
       "                      16122667\n",
       "extend                 1860176\n",
       "cover                   790776\n",
       "infill                  163057\n",
       "artist_consistency        1456\n",
       "image_to_song              688\n",
       "video_to_song              284\n",
       "infill_outro                 6\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clip_df[\"task\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:08:01.762408Z",
     "iopub.status.busy": "2024-10-13T14:08:01.762287Z",
     "iopub.status.idle": "2024-10-13T14:08:07.477011Z",
     "shell.execute_reply": "2024-10-13T14:08:07.476656Z",
     "shell.execute_reply.started": "2024-10-13T14:08:01.762396Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24133 96149 0.251\n"
     ]
    }
   ],
   "source": [
    "n_created_cover = clip_df[clip_df[\"task\"] == \"cover\"][\"user_id\"].nunique()\n",
    "n_pro_created = clip_df[clip_df[\"is_pro_user\"]][\"user_id\"].nunique()\n",
    "print(n_created_cover, n_pro_created, round(n_created_cover / n_pro_created, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:08:07.477892Z",
     "iopub.status.busy": "2024-10-13T14:08:07.477539Z",
     "iopub.status.idle": "2024-10-13T14:08:12.343402Z",
     "shell.execute_reply": "2024-10-13T14:08:12.343040Z",
     "shell.execute_reply.started": "2024-10-13T14:08:07.477878Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "42 96149 0.0004\n"
     ]
    }
   ],
   "source": [
    "n_created_artist = clip_df[clip_df[\"task\"] == \"artist_consistency\"][\"user_id\"].nunique()\n",
    "n_pro_created = clip_df[clip_df[\"is_pro_user\"]][\"user_id\"].nunique()\n",
    "print(n_created_artist, n_pro_created, round(n_created_artist / n_pro_created, 4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FE change exp "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:08:12.344299Z",
     "iopub.status.busy": "2024-10-13T14:08:12.343945Z",
     "iopub.status.idle": "2024-10-13T14:08:44.370319Z",
     "shell.execute_reply": "2024-10-13T14:08:44.369896Z",
     "shell.execute_reply.started": "2024-10-13T14:08:12.344285Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "clip 8606726 18939110\n",
      "user 445954 1097824\n"
     ]
    }
   ],
   "source": [
    "# with open(\"user_id_to_exp_dict.json\", \"w\") as fp:\n",
    "#     json.dump(user_id_to_exp_dict, fp)\n",
    "with open(\"user_id_to_exp_dict.json\", \"r\") as fp:\n",
    "    user_id_to_exp_dict = json.load(fp)\n",
    "clip_df[\"in_fe_exp\"] = clip_df[\"user_id\"].apply(\n",
    "    lambda x: user_id_to_exp_dict.get(str(x), False)\n",
    ")\n",
    "print(\"clip\", clip_df[\"in_fe_exp\"].sum(), clip_df.shape[0])\n",
    "print(\n",
    "    \"user\",\n",
    "    clip_df[clip_df[\"in_fe_exp\"]][\"user_id\"].nunique(),\n",
    "    clip_df[\"user_id\"].nunique(),\n",
    ")\n",
    "\n",
    "create_exp_mask = clip_df[\n",
    "    \"in_fe_exp\"\n",
    "]  # & (clip_df[\"created_at\"] >= \"2024-09-25 00:00:00\")\n",
    "unique_users_in_exp = clip_df[create_exp_mask][\"user_id\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:08:44.371253Z",
     "iopub.status.busy": "2024-10-13T14:08:44.370872Z",
     "iopub.status.idle": "2024-10-13T14:09:11.791104Z",
     "shell.execute_reply": "2024-10-13T14:09:11.790680Z",
     "shell.execute_reply.started": "2024-10-13T14:08:44.371238Z"
    }
   },
   "outputs": [],
   "source": [
    "request_counts = clip_df[(clip_df[\"model_name\"] == \"chirp-v3p5-engine-s-8\")][\n",
    "    \"request_id\"\n",
    "].value_counts()\n",
    "unique_count_2_requests = request_counts[request_counts == 2].index\n",
    "unique_count_2_requests = set(list(unique_count_2_requests))\n",
    "same_model_mask = clip_df[\"request_id\"].isin(unique_count_2_requests)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:09:11.791965Z",
     "iopub.status.busy": "2024-10-13T14:09:11.791674Z",
     "iopub.status.idle": "2024-10-13T14:09:16.720897Z",
     "shell.execute_reply": "2024-10-13T14:09:16.720547Z",
     "shell.execute_reply.started": "2024-10-13T14:09:11.791952Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "out_exp_period_mask = clip_df[\"created_at\"] < \"2024-09-25 00:00:00\"\n",
    "in_exp_period_mask = clip_df[\"created_at\"] >= \"2024-09-25 00:00:00\"\n",
    "users_in_both = set(clip_df[out_exp_period_mask][\"user_id\"].unique()).intersection(\n",
    "    clip_df[in_exp_period_mask][\"user_id\"].unique()\n",
    ")\n",
    "print(len(users_in_both))\n",
    "same_period_user_mask = clip_df[\"user_id\"].isin(users_in_both)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:09:16.721576Z",
     "iopub.status.busy": "2024-10-13T14:09:16.721446Z",
     "iopub.status.idle": "2024-10-13T14:09:28.295739Z",
     "shell.execute_reply": "2024-10-13T14:09:28.295401Z",
     "shell.execute_reply.started": "2024-10-13T14:09:16.721563Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall update rate: nan ± nan\n",
      "Overall update rate: nan ± nan\n",
      "Overall update rate: 0.0517 ± 0.0001\n",
      "Overall update rate: 0.0375 ± 0.0001\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_hourly_upvote_rate(input_df, color, column_name, label):\n",
    "    # Convert created_at to datetime and group by hour\n",
    "    input_df = input_df.copy()\n",
    "    input_df[\"created_at\"] = pd.to_datetime(input_df[\"created_at\"])\n",
    "    hourly_upvote_rate = input_df.groupby(input_df[\"created_at\"].dt.floor(\"h\"))[\n",
    "        column_name\n",
    "    ].mean()\n",
    "\n",
    "    # Compute the rate's error using standard error of the mean\n",
    "    hourly_upvote_count = input_df.groupby(input_df[\"created_at\"].dt.floor(\"h\"))[\n",
    "        column_name\n",
    "    ].count()\n",
    "    hourly_upvote_std = input_df.groupby(input_df[\"created_at\"].dt.floor(\"h\"))[\n",
    "        column_name\n",
    "    ].std()\n",
    "    # hourly_upvote_rate_err = hourly_upvote_std / np.sqrt(hourly_upvote_count)\n",
    "\n",
    "    # Plot the hourly upvote rate as a vertical bar plot with error bars\n",
    "    plt.plot(hourly_upvote_rate, alpha=0.5, color=color, label=label)\n",
    "\n",
    "    # Reduce the number of x-axis ticks\n",
    "    # num_ticks = 10  # Adjust this number to get desired tick density\n",
    "    # tick_indices = np.linspace(0, len(hourly_upvote_rate.index) - 1, num_ticks, dtype=int)\n",
    "    # plt.xticks(tick_indices, [hourly_upvote_rate.index[i].strftime('%Y-%m-%d %H:00') for i in tick_indices], rotation=45, ha='right')\n",
    "\n",
    "    # Calculate overall update rate and its error for comparison\n",
    "    overall_update_rate = input_df[column_name].mean()\n",
    "    overall_update_rate_err = input_df[column_name].std() / np.sqrt(len(input_df))\n",
    "    print(\n",
    "        f\"Overall update rate: {overall_update_rate:.4f} ± {overall_update_rate_err:.4f}\"\n",
    "    )\n",
    "\n",
    "\n",
    "# Call the function with clip_df\n",
    "plt.figure(figsize=(12, 6))\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)],\n",
    "    color=\"blue\",\n",
    "    column_name=\"upvoted\",\n",
    "    label=\"exp\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)],\n",
    "    color=\"orange\",\n",
    "    column_name=\"upvoted\",\n",
    "    label=\"control\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)],\n",
    "    color=\"green\",\n",
    "    column_name=\"upvoted\",\n",
    "    label=\"exp diff user\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)],\n",
    "    color=\"red\",\n",
    "    column_name=\"upvoted\",\n",
    "    label=\"control diff user\",\n",
    ")\n",
    "plt.title(\"Hourly Upvote Rate with Error Bars\")\n",
    "plt.xlabel(\"Date and Hour\")\n",
    "plt.ylabel(\"Upvote Rate\")\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:09:28.296398Z",
     "iopub.status.busy": "2024-10-13T14:09:28.296277Z",
     "iopub.status.idle": "2024-10-13T14:09:39.578653Z",
     "shell.execute_reply": "2024-10-13T14:09:39.578318Z",
     "shell.execute_reply.started": "2024-10-13T14:09:28.296385Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall update rate: nan ± nan\n",
      "Overall update rate: nan ± nan\n",
      "Overall update rate: 0.0405 ± 0.0001\n",
      "Overall update rate: 0.0266 ± 0.0001\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Call the function with clip_df\n",
    "plt.figure(figsize=(12, 6))\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)],\n",
    "    color=\"blue\",\n",
    "    column_name=\"downvoted\",\n",
    "    label=\"exp\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)],\n",
    "    color=\"orange\",\n",
    "    column_name=\"downvoted\",\n",
    "    label=\"control\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)],\n",
    "    color=\"green\",\n",
    "    column_name=\"downvoted\",\n",
    "    label=\"exp diff user\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)],\n",
    "    color=\"red\",\n",
    "    column_name=\"downvoted\",\n",
    "    label=\"control diff user\",\n",
    ")\n",
    "plt.title(\"Hourly Downvote Rate with Error Bars\")\n",
    "plt.xlabel(\"Date and Hour\")\n",
    "plt.ylabel(\"Downvote Rate\")\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:09:39.579401Z",
     "iopub.status.busy": "2024-10-13T14:09:39.579185Z",
     "iopub.status.idle": "2024-10-13T14:10:06.930746Z",
     "shell.execute_reply": "2024-10-13T14:10:06.930406Z",
     "shell.execute_reply.started": "2024-10-13T14:09:39.579388Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "Overall update rate: nan ± nan\n",
      "Overall update rate: nan ± nan\n",
      "Overall update rate: 0.0517 ± 0.0001\n",
      "Overall update rate: 0.0375 ± 0.0001\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall update rate: nan ± nan\n",
      "Overall update rate: nan ± nan\n",
      "Overall update rate: 0.0405 ± 0.0001\n",
      "Overall update rate: 0.0266 ± 0.0001\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "out_exp_period_mask = clip_df[\"created_at\"] < \"2024-10-03 22:00:00\"\n",
    "in_exp_period_mask = clip_df[\"created_at\"] >= \"2024-10-03 22:00:00\"\n",
    "users_in_both = set(clip_df[out_exp_period_mask][\"user_id\"].unique()).intersection(\n",
    "    clip_df[in_exp_period_mask][\"user_id\"].unique()\n",
    ")\n",
    "print(len(users_in_both))\n",
    "same_period_user_mask = clip_df[\"user_id\"].isin(users_in_both)\n",
    "plt.figure(figsize=(12, 6))\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)],\n",
    "    color=\"blue\",\n",
    "    column_name=\"upvoted\",\n",
    "    label=\"exp\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)],\n",
    "    color=\"orange\",\n",
    "    column_name=\"upvoted\",\n",
    "    label=\"control\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)],\n",
    "    color=\"green\",\n",
    "    column_name=\"upvoted\",\n",
    "    label=\"exp diff user\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)],\n",
    "    color=\"red\",\n",
    "    column_name=\"upvoted\",\n",
    "    label=\"control diff user\",\n",
    ")\n",
    "plt.title(\"Hourly Upvote Rate with Error Bars\")\n",
    "plt.xlabel(\"Date and Hour\")\n",
    "plt.ylabel(\"Upvote Rate\")\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "# Call the function with clip_df\n",
    "plt.figure(figsize=(12, 6))\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)],\n",
    "    color=\"blue\",\n",
    "    column_name=\"downvoted\",\n",
    "    label=\"exp\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)],\n",
    "    color=\"orange\",\n",
    "    column_name=\"downvoted\",\n",
    "    label=\"control\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)],\n",
    "    color=\"green\",\n",
    "    column_name=\"downvoted\",\n",
    "    label=\"exp diff user\",\n",
    ")\n",
    "plot_hourly_upvote_rate(\n",
    "    clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)],\n",
    "    color=\"red\",\n",
    "    column_name=\"downvoted\",\n",
    "    label=\"control diff user\",\n",
    ")\n",
    "plt.title(\"Hourly Downvote Rate with Error Bars\")\n",
    "plt.xlabel(\"Date and Hour\")\n",
    "plt.ylabel(\"Downvote Rate\")\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:10:06.931407Z",
     "iopub.status.busy": "2024-10-13T14:10:06.931282Z",
     "iopub.status.idle": "2024-10-13T14:10:07.337342Z",
     "shell.execute_reply": "2024-10-13T14:10:07.336952Z",
     "shell.execute_reply.started": "2024-10-13T14:10:06.931394Z"
    }
   },
   "outputs": [],
   "source": [
    "# out_exp_mask = (clip_df[\"created_at\"] < \"2024-09-25 00:00:00\") & (~clip_df[\"in_fe_exp\"])\n",
    "# print(\"total clips\", out_exp_mask.sum())\n",
    "# print(\n",
    "#     \"has upvoted out exp\",\n",
    "#     round(clip_df[out_exp_mask][\"upvoted\"].value_counts(normalize=True)[True], 4),\n",
    "# )\n",
    "# print(\n",
    "#     \"has downvoted out exp\",\n",
    "#     round(clip_df[out_exp_mask][\"downvoted\"].value_counts(normalize=True)[True], 4),\n",
    "# )\n",
    "# in_exp_mask = (clip_df[\"created_at\"] >= \"2024-09-25 00:00:00\") & (~clip_df[\"in_fe_exp\"])\n",
    "# print(\"total clips\", in_exp_mask.sum())\n",
    "# print(\n",
    "#     \"has upvoted in exp\",\n",
    "#     round(clip_df[in_exp_mask][\"upvoted\"].value_counts(normalize=True)[True], 4),\n",
    "# )\n",
    "# print(\n",
    "#     \"has downvoted in exp\",\n",
    "#     round(clip_df[in_exp_mask][\"downvoted\"].value_counts(normalize=True)[True], 4),\n",
    "# )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:10:07.337998Z",
     "iopub.status.busy": "2024-10-13T14:10:07.337876Z",
     "iopub.status.idle": "2024-10-13T14:10:07.381252Z",
     "shell.execute_reply": "2024-10-13T14:10:07.380920Z",
     "shell.execute_reply.started": "2024-10-13T14:10:07.337985Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# out_exp_mask = (clip_df[\"created_at\"] < \"2024-09-25 00:00:00\") & (clip_df[\"in_fe_exp\"])\n",
    "# print(\"total clips\", out_exp_mask.sum())\n",
    "# print(\n",
    "#     \"has upvoted out exp\",\n",
    "#     round(clip_df[out_exp_mask][\"upvoted\"].value_counts(normalize=True)[True], 4),\n",
    "# )\n",
    "# print(\n",
    "#     \"has downvoted out exp\",\n",
    "#     round(clip_df[out_exp_mask][\"downvoted\"].value_counts(normalize=True)[True], 4),\n",
    "# )\n",
    "# in_exp_mask = (clip_df[\"created_at\"] >= \"2024-09-25 00:00:00\") & (clip_df[\"in_fe_exp\"])\n",
    "# print(\"total clips\", in_exp_mask.sum())\n",
    "# print(\n",
    "#     \"has upvoted in exp\",\n",
    "#     round(clip_df[in_exp_mask][\"upvoted\"].value_counts(normalize=True)[True], 4),\n",
    "# )\n",
    "# print(\n",
    "#     \"has downvoted in exp\",\n",
    "#     round(clip_df[in_exp_mask][\"downvoted\"].value_counts(normalize=True)[True], 4),\n",
    "# )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-13T14:10:07.382047Z",
     "iopub.status.busy": "2024-10-13T14:10:07.381710Z",
     "iopub.status.idle": "2024-10-13T14:10:08.827520Z",
     "shell.execute_reply": "2024-10-13T14:10:08.827198Z",
     "shell.execute_reply.started": "2024-10-13T14:10:07.382034Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "model_name\n",
       "chirp-v3p5-engine-t-5     72089\n",
       "chirp-v3p5-engine-t-3      2893\n",
       "chirp-v3p5-engine-s-8      1617\n",
       "chirp-v3p5-engine-s-29       72\n",
       "chirp-v3p5-engine-b          54\n",
       "chirp-v3-engine-i            22\n",
       "chirp-v2-xxl-alpha            4\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clip_df[(clip_df[\"task\"] == \"infill\") & (clip_df[\"created_at\"] >= \"2024-10-11 10:00:00\")][\"model_name\"].value_counts() # [[\"model_name\", \"s3_id\"]]"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}