{ "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": "2024-11-12T04:02:39.881008Z", "iopub.status.busy": "2024-11-12T04:02:39.880890Z", "iopub.status.idle": "2024-11-12T04:02:40.046671Z", "shell.execute_reply": "2024-11-12T04:02:40.046253Z", "shell.execute_reply.started": "2024-11-12T04:02:39.880995Z" } }, "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": "2024-11-12T04:02:40.047378Z", "iopub.status.busy": "2024-11-12T04:02:40.047180Z", "iopub.status.idle": "2024-11-12T04:02:46.256485Z", "shell.execute_reply": "2024-11-12T04:02:46.255990Z", "shell.execute_reply.started": "2024-11-12T04:02:40.047366Z" } }, "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\"]), pool_pre_ping=True, connect_args={\"connect_timeout\": 3600 * 24}\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": "2024-11-12T04:02:46.257387Z", "iopub.status.busy": "2024-11-12T04:02:46.257028Z", "iopub.status.idle": "2024-11-12T04:02:46.273331Z", "shell.execute_reply": "2024-11-12T04:02:46.272967Z", "shell.execute_reply.started": "2024-11-12T04:02:46.257373Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2024-10-31 16:00:00\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 = \"2024-09-22 00:00:00\" # pre fe exp out\n", "# cutoff_date = \"2024-09-26 12:00:00\" # s29 out\n", "# cutoff_date = \"2024-10-09 15:20:00\" # 30b t5 out\n", "cutoff_date = \"2024-10-31 16:00:00\" # 30b t6 out\n", "# cutoff_date = (\n", "# (datetime.datetime.now() - datetime.timedelta(hours=4))\n", "# .astimezone(datetime.timezone.utc)\n", "# .strftime(\"%Y-%m-%d %H:%M:%S\")\n", "# )\n", "print(cutoff_date)\n", "\n", "target_model_name = \"chirp-v3p5-engine-t-6\"" ] }, { "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": "2024-11-12T04:02:46.273910Z", "iopub.status.busy": "2024-11-12T04:02:46.273742Z", "iopub.status.idle": "2024-11-12T04:02:46.545755Z", "shell.execute_reply": "2024-11-12T04:02:46.545078Z", "shell.execute_reply.started": "2024-11-12T04:02:46.273898Z" } }, "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": "2024-11-12T04:02:46.546705Z", "iopub.status.busy": "2024-11-12T04:02:46.546449Z", "iopub.status.idle": "2024-11-12T04:02:47.084821Z", "shell.execute_reply": "2024-11-12T04:02:47.084196Z", "shell.execute_reply.started": "2024-11-12T04:02:46.546689Z" } }, "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": "2024-11-12T04:02:47.086743Z", "iopub.status.busy": "2024-11-12T04:02:47.086485Z", "iopub.status.idle": "2024-11-12T09:47:32.713400Z", "shell.execute_reply": "2024-11-12T09:47:32.712692Z", "shell.execute_reply.started": "2024-11-12T04:02:47.086727Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Start gather data from 2024-10-31 16:00:00\n", "Bots Action: 54,199,460 rows\n", " ---- Execution time: 1597.24 seconds\n", "Reactions: 56,397,162 rows\n", " ---- Execution time: 1423.31 seconds\n", "Total Clips: 54,697,737 rows\n", " ---- Execution time: 17643.94 seconds\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:64: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " playlist_clip_df = pd.concat([playlist_clip_df, chunk], ignore_index=True)\n", "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:64: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " playlist_clip_df = pd.concat([playlist_clip_df, chunk], ignore_index=True)\n", "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:64: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " playlist_clip_df = pd.concat([playlist_clip_df, chunk], ignore_index=True)\n", "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:64: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " playlist_clip_df = pd.concat([playlist_clip_df, chunk], ignore_index=True)\n", "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:64: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " playlist_clip_df = pd.concat([playlist_clip_df, chunk], ignore_index=True)\n", "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:64: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " playlist_clip_df = pd.concat([playlist_clip_df, chunk], ignore_index=True)\n", "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:64: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " playlist_clip_df = pd.concat([playlist_clip_df, chunk], ignore_index=True)\n", "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:64: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " playlist_clip_df = pd.concat([playlist_clip_df, chunk], ignore_index=True)\n", "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:64: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " playlist_clip_df = pd.concat([playlist_clip_df, chunk], ignore_index=True)\n", "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:64: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " playlist_clip_df = pd.concat([playlist_clip_df, chunk], ignore_index=True)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Playlist Clips: 1,083,444 rows\n", " ---- Execution time: 10.40 seconds\n", "Authenticated Users: 903,855 rows\n", " ---- Execution time: 2.10 seconds\n", "Discord Info: 335,180 rows\n", "subscription_status\n", "active 315106\n", "past_due 20074\n", "Name: count, dtype: int64\n", " ---- Execution time: 8.57 seconds\n" ] } ], "source": [ "with engine.connect() as connection:\n", " with connection.connection.cursor() as cursor:\n", " # cursor.execute(\"SET statement_timeout = 30000\") # 30 seconds in milliseconds\n", " cursor.execute(\"SET statement_timeout = 360000000\") # 30 seconds in milliseconds\n", " 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": "2024-11-12T09:47:32.714389Z", "iopub.status.busy": "2024-11-12T09:47:32.714094Z", "iopub.status.idle": "2024-11-12T09:47:34.002143Z", "shell.execute_reply": "2024-11-12T09:47:34.001495Z", "shell.execute_reply.started": "2024-11-12T09:47:32.714373Z" } }, "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": "2024-11-12T09:47:34.002962Z", "iopub.status.busy": "2024-11-12T09:47:34.002828Z", "iopub.status.idle": "2024-11-12T09:49:04.295675Z", "shell.execute_reply": "2024-11-12T09:49:04.294964Z", "shell.execute_reply.started": "2024-11-12T09:47:34.002949Z" } }, "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": "2024-11-12T09:49:04.296740Z", "iopub.status.busy": "2024-11-12T09:49:04.296422Z", "iopub.status.idle": "2024-11-12T09:50:00.826709Z", "shell.execute_reply": "2024-11-12T09:50:00.826092Z", "shell.execute_reply.started": "2024-11-12T09:49:04.296724Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total clips: 54697737\n", "gen: 53306984 (97.46%)\n", "upload: 531250 (0.97%)\n", "stem: 367910 (0.67%)\n", "concat: 349695 (0.64%)\n", "edit_crop: 74803 (0.14%)\n", "concat_infilling: 63790 (0.12%)\n", "upsample: 3299 (0.01%)\n", "edit_speed: 4 (0.00%)\n", "edit_fade: 2 (0.00%)\n", "total without model: 900838\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Total number of hours: 277\n", "Average clips per hour: 197464.75\n", "Max clips in an hour: 256504\n", "Min clips in an hour: 139747\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": "2024-11-12T09:50:00.827882Z", "iopub.status.busy": "2024-11-12T09:50:00.827386Z", "iopub.status.idle": "2024-11-12T09:50:02.789865Z", "shell.execute_reply": "2024-11-12T09:50:02.789191Z", "shell.execute_reply.started": "2024-11-12T09:50:00.827864Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "number of upvoates: 5,523,107 rows\n", "number of flagged reports: 103,358 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": "2024-11-12T09:50:02.790698Z", "iopub.status.busy": "2024-11-12T09:50:02.790558Z", "iopub.status.idle": "2024-11-12T09:50:04.881559Z", "shell.execute_reply": "2024-11-12T09:50:04.880897Z", "shell.execute_reply.started": "2024-11-12T09:50:02.790685Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reactions fraction by pro user:\n", "False: 33887569 (60.09%)\n", "True: 22509593 (39.91%)\n", "------------\n", "Clip generated fraction by pro user:\n", "False: 30945746 (56.58%)\n", "True: 23751991 (43.42%)\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": "2024-11-12T09:50:04.882526Z", "iopub.status.busy": "2024-11-12T09:50:04.882188Z", "iopub.status.idle": "2024-11-12T09:50:06.301097Z", "shell.execute_reply": "2024-11-12T09:50:06.300428Z", "shell.execute_reply.started": "2024-11-12T09:50:04.882510Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "stem parent ids: 179835\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": "2024-11-12T09:50:06.301892Z", "iopub.status.busy": "2024-11-12T09:50:06.301755Z", "iopub.status.idle": "2024-11-12T09:51:51.508452Z", "shell.execute_reply": "2024-11-12T09:51:51.507775Z", "shell.execute_reply.started": "2024-11-12T09:50:06.301876Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Clips in a splaylist:\n", "False: 54147136 (98.99%)\n", "True: 550601 (1.01%)\n", "------------\n", "Clips has stem children:\n", "False: 54528228 (99.69%)\n", "True: 169509 (0.31%)\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": "2024-11-12T09:51:51.509228Z", "iopub.status.busy": "2024-11-12T09:51:51.509093Z", "iopub.status.idle": "2024-11-12T09:52:11.492886Z", "shell.execute_reply": "2024-11-12T09:52:11.492212Z", "shell.execute_reply.started": "2024-11-12T09:51:51.509214Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "clips that have children: 6107814 \n", "clips that are parents: 997541 \n", " Average continues from clip = 6.12\n", "web: 51751613 (95.33%)\n", "ios: 2532625 (4.67%)\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": "2024-11-12T09:52:11.493850Z", "iopub.status.busy": "2024-11-12T09:52:11.493572Z", "iopub.status.idle": "2024-11-12T09:53:04.845752Z", "shell.execute_reply": "2024-11-12T09:53:04.845049Z", "shell.execute_reply.started": "2024-11-12T09:52:11.493834Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total uploads: 900838\n", "clips without request id: 1387454\n", "clips without request id: 1387454 clip_type\n", "upload 531250\n", "stem 367910\n", "concat 349695\n", "edit_crop 74803\n", "concat_infilling 63790\n", "edit_speed 4\n", "edit_fade 2\n", "Name: count, dtype: int64\n", "Clips without request id (concat, uploads...) frac = 0.00756\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": "2024-11-12T09:53:04.847042Z", "iopub.status.busy": "2024-11-12T09:53:04.846466Z", "iopub.status.idle": "2024-11-12T09:53:14.320880Z", "shell.execute_reply": "2024-11-12T09:53:14.320214Z", "shell.execute_reply.started": "2024-11-12T09:53:04.847026Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "chirp-v3p5-engine-s-8: 37917885 (71.13%)\n", "chirp-v3p5-engine-t-6: 6896941 (12.94%)\n", "chirp-v3p5-engine-upload-4: 2386005 (4.48%)\n", "chirp-v3p5-engine-s-31: 2070894 (3.88%)\n", "chirp-v3p5-engine-b: 1118518 (2.10%)\n", "chirp-v3-engine-i: 1102716 (2.07%)\n", "chirp-v3p5-engine-s-8-cfg-ramp: 263447 (0.49%)\n", "chirp-v3p5-engine-s-8-copy: 220470 (0.41%)\n", "chirp-v3p5-engine-s-8-cfg-refactor2: 194567 (0.36%)\n", "chirp-v2-xxl-alpha: 173811 (0.33%)\n", "chirp-v3p5-h-s-31: 157243 (0.29%)\n", "chirp-v3p5-engine-s-8-cfg-refactor: 150060 (0.28%)\n", "chirp-v3p5-engine-copy: 128333 (0.24%)\n", "chirp-v3-5: 103364 (0.19%)\n", "chirp-v3p5-engine-short: 101697 (0.19%)\n", "chirp-v3p5-engine-ft-1: 82933 (0.16%)\n", "chirp-v3p5-engine-t-5: 70540 (0.13%)\n", "chirp-v3p5-engine-t-6-2: 46303 (0.09%)\n", "chirp-v3p5-engine-t-6-1: 44558 (0.08%)\n", "chirp-v3p5-engine-t-6-1-b20: 39588 (0.07%)\n", "chirp-v4-h-s-31: 14386 (0.03%)\n", "chirp-v3p5-h-t-6: 6243 (0.01%)\n", "chirp-v3p5-engine-s-29-6: 4138 (0.01%)\n", "chirp-v3p5-engine-cfg-refactor: 3587 (0.01%)\n", "chirp-v4-h-t-6: 2824 (0.01%)\n", "chirp-v3-0: 2821 (0.01%)\n", "chirp-v4-up-u-0: 2126 (0.00%)\n", "chirp-v3-5-short: 1360 (0.00%)\n", "chirp-v3-5-tau: 1134 (0.00%)\n", "chirp-v4-up-u-1: 937 (0.00%)\n", "chirp-v3-5-upload: 502 (0.00%)\n", "chirp-up-t-0: 211 (0.00%)\n", "chirp-v3-5|chirp-v3-0: 94 (0.00%)\n", "chirp-up: 25 (0.00%)\n", "chirp-v4: 12 (0.00%)\n", "chirp-v3.5: 5 (0.00%)\n", "chirp-v2-engine-msft-60s: 2 (0.00%)\n", "chirp-v3.5-0: 2 (0.00%)\n", "chirp-v4-tau: 1 (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": "2024-11-12T09:53:14.321683Z", "iopub.status.busy": "2024-11-12T09:53:14.321543Z", "iopub.status.idle": "2024-11-12T09:54:13.755058Z", "shell.execute_reply": "2024-11-12T09:54:13.754379Z", "shell.execute_reply.started": "2024-11-12T09:53:14.321669Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "pre-filter model type clip_df shape: (53310283, 36)\n", "post-filter model type clip_df shape: (53201102, 36)\n", "chirp-v3p5-engine-s-8: 37917885 (71.27%)\n", "chirp-v3p5-engine-t-6: 6896941 (12.96%)\n", "chirp-v3p5-engine-upload-4: 2386005 (4.48%)\n", "chirp-v3p5-engine-s-31: 2070894 (3.89%)\n", "chirp-v3p5-engine-b: 1118518 (2.10%)\n", "chirp-v3-engine-i: 1102716 (2.07%)\n", "chirp-v3p5-engine-s-8-cfg-ramp: 263447 (0.50%)\n", "chirp-v3p5-engine-s-8-copy: 220470 (0.41%)\n", "chirp-v3p5-engine-s-8-cfg-refactor2: 194567 (0.37%)\n", "chirp-v2-xxl-alpha: 173811 (0.33%)\n", "chirp-v3p5-h-s-31: 157243 (0.30%)\n", "chirp-v3p5-engine-s-8-cfg-refactor: 150060 (0.28%)\n", "chirp-v3p5-engine-copy: 128333 (0.24%)\n", "chirp-v3p5-engine-short: 101697 (0.19%)\n", "chirp-v3p5-engine-ft-1: 82933 (0.16%)\n", "chirp-v3p5-engine-t-5: 70540 (0.13%)\n", "chirp-v3p5-engine-t-6-2: 46303 (0.09%)\n", "chirp-v3p5-engine-t-6-1: 44558 (0.08%)\n", "chirp-v3p5-engine-t-6-1-b20: 39588 (0.07%)\n", "chirp-v4-h-s-31: 14386 (0.03%)\n", "chirp-v3p5-h-t-6: 6243 (0.01%)\n", "chirp-v3p5-engine-s-29-6: 4138 (0.01%)\n", "chirp-v3p5-engine-cfg-refactor: 3587 (0.01%)\n", "chirp-v4-h-t-6: 2824 (0.01%)\n", "chirp-v4-up-u-0: 2126 (0.00%)\n", "chirp-v4-up-u-1: 937 (0.00%)\n", "chirp-up-t-0: 211 (0.00%)\n", "chirp-v3-5|chirp-v3-0: 94 (0.00%)\n", "chirp-up: 25 (0.00%)\n", "chirp-v4: 12 (0.00%)\n", "chirp-v3.5: 5 (0.00%)\n", "chirp-v3.5-0: 2 (0.00%)\n", "chirp-v2-engine-msft-60s: 2 (0.00%)\n", "chirp-v4-tau: 1 (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": "2024-11-12T09:54:13.756038Z", "iopub.status.busy": "2024-11-12T09:54:13.755751Z", "iopub.status.idle": "2024-11-12T09:54:49.525940Z", "shell.execute_reply": "2024-11-12T09:54:49.525255Z", "shell.execute_reply.started": "2024-11-12T09:54:13.756022Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "concat reactions: 814488 unique concat clips: 317978\n", "total concats (413485, 39)\n", "check \n", " reaction_play_count reaction_upvote_count reaction_dislike_count\n", "count 317978.000000 317978.000000 317978.000000\n", "mean 8.243875 0.403289 0.022948\n", "std 314.586938 3.071079 0.181887\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% 4.000000 0.000000 0.000000\n", "max 96782.000000 376.000000 22.000000\n", "All concats 413485\n", "total concats with plays 317978\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": "2024-11-12T09:54:49.526818Z", "iopub.status.busy": "2024-11-12T09:54:49.526660Z", "iopub.status.idle": "2024-11-12T09:55:01.766455Z", "shell.execute_reply": "2024-11-12T09:55:01.765750Z", "shell.execute_reply.started": "2024-11-12T09:54:49.526804Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "8321it [00:00, 16314.56it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "5ae26497-a1da-4607-b06e-9abe00349aee chirp-v3p5-engine-s-8\n", "1cea90ab-4089-43e5-9a72-355b04bbda37 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "16607it [00:01, 23461.05it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "3cef7ab9-6bad-409f-9f5a-00be8e2ef94d chirp-v3p5-engine-upload-4\n", "e4d9cd62-2ea2-45bf-b480-73f8663c7102 chirp-v3p5-engine-s-8\n", "e5f3ee74-eb3d-4d0c-8629-80e6d6580307 chirp-v3p5-engine-upload-4\n", "fc36fa8f-9a4e-4e0b-a2c0-f0e8cc31210d chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "22148it [00:01, 25594.09it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "fddccc73-9068-41de-a6a8-b62817fe7730 chirp-v3p5-engine-s-8\n", "dece167e-a08e-4fb4-a0dc-eb67bf6d19f5 chirp-v3p5-engine-s-8\n", "c3008ec4-d11b-4f72-8fcd-1b370270fb72 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "33207it [00:01, 27146.25it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "6bd1b1ee-a70a-4fd3-8eb3-ddefa9fd0905 chirp-v3p5-engine-s-8\n", "d8a4cda6-638c-495e-b75a-f083f700eb3c chirp-v3p5-engine-s-8\n", "c3009176-7f79-4803-af3d-b60f88fc291c chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "41475it [00:01, 27390.24it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "3c58c272-f70a-4c39-bb03-faa397c0bd66 chirp-v3p5-engine-s-8\n", "a840a8f9-3a03-44a2-9d95-3772faed7dcb chirp-v3p5-engine-s-8\n", "59a24423-0c8a-4c41-85ff-cd03d3c922aa chirp-v3p5-engine-upload-4\n", "4295d506-9bd9-4f0a-a4e5-66a0cf43365d chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "77525it [00:03, 27642.47it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ddee5401-d3f3-44d9-a02f-a81317d06df1 chirp-v3p5-engine-s-8\n", "3bc6e9d4-ca10-40f0-8644-7f00fe349fac chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "85817it [00:03, 27604.41it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "fd0bc688-5d78-410f-b3c7-b229f5e5f6e9 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "94093it [00:03, 27442.07it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "e47ee553-a0d3-43e1-9bad-b940c81211a3 chirp-v3p5-engine-s-8\n", "564baade-a831-42c1-a7b0-02ebc0417c1e chirp-v3p5-engine-s-8\n", "460966cc-054c-4278-bb70-9fb8d572f818 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "99583it [00:04, 27411.07it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "b3d2a598-83b2-4c30-8b68-f362228edb3c chirp-v3p5-engine-upload-4\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "110600it [00:04, 27511.53it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "7c8d5adf-1709-4f61-a4a8-aee206ffedb7 chirp-v3p5-engine-s-8\n", "9df7747e-e346-42ec-bec9-99367159c24e chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "143622it [00:05, 27483.80it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "86946e0b-5dfe-44b5-9478-638980f82831 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "157409it [00:06, 27502.97it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "14d1eba1-72ae-4eaf-ba6f-3798187a892e chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "165675it [00:06, 27493.61it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "9de27421-2df2-446e-af04-7109e9e238a7 chirp-v3p5-engine-s-31\n", "fe8475b0-2028-4421-ae92-1fd3c25e3396 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "184884it [00:07, 27097.73it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "10ec61aa-f21b-4090-8b59-1190859a49a1 chirp-v3p5-engine-s-8\n", "4356bda6-36cc-46d2-b5de-200151c2955a chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "193166it [00:07, 27442.03it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "0166e6a8-a3b3-4c90-9f4f-b7ade0b947dc chirp-v3-engine-i\n", "ef07d2e6-dcda-424a-95c7-32e67fea01b3 chirp-v3p5-engine-s-8\n", "11dbcbe4-eed6-47dd-87bd-a6d467a0ac96 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "201401it [00:07, 27420.99it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "deb3ab8b-18bd-4900-a93e-88697c084c56 chirp-v3p5-engine-s-8\n", "f570d876-3116-42bc-8fe9-6ee129dcc7a4 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "209658it [00:08, 27449.84it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "fb5adf5a-a756-496b-ad8f-ab0b2ac5f5f9 chirp-v3p5-engine-s-31\n", "0a37ec0b-5a64-40cf-afe1-27280567d32c chirp-v3p5-engine-s-31\n", "b980e10f-e1e9-4ef8-84bc-058503336a84 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "220638it [00:08, 27402.70it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "8865afa0-539c-4bee-8d26-d5a8d6b0eea9 chirp-v3-engine-i\n", "22c94647-6d1b-43fd-a4d9-95f38f574420 chirp-v3p5-engine-t-6\n", "1146147a-bc39-406c-8710-7076395aa3d6 chirp-v3p5-engine-b\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "239874it [00:09, 27328.30it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "4e39d02a-b5a3-4422-a62b-5224c072d950 chirp-v3p5-engine-s-8\n", "d25e0846-74b9-4bc2-9c13-e8f34a744bfb chirp-v3p5-engine-s-8\n", "06355f69-9ed0-49c5-99ae-2dfa80644fb9 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "250829it [00:09, 27344.32it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "4ed40754-ba52-4925-b6b2-b4c89801c135 chirp-v3p5-engine-upload-4\n", "6440a9bb-4d9f-4751-a0dd-2f7043460f81 chirp-v3p5-engine-t-6\n", "dd322cdb-472e-44c8-a199-16548434e94c chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "261754it [00:09, 27282.35it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "3991d599-54f2-4fbd-9fd8-2f67a96ac82f chirp-v3p5-engine-upload-4\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "280941it [00:10, 27402.85it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ce020016-1f26-41c7-ade6-a8f74a42d981 chirp-v3p5-engine-upload-4\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "297349it [00:11, 27194.81it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "f7112c2c-a1d3-4ca8-b6cf-1638117da578 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "308270it [00:11, 27259.34it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "88baf3e2-49ed-436a-a80a-0ed2a754c8fb chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "316478it [00:11, 27302.04it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "1e98ee1d-713f-4666-bacd-584b5a80d563 chirp-v3p5-engine-t-6\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "317978it [00:12, 26415.73it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "total concat unique clips are: 599664 with error: 5, duplicate 62344 \n", " uploads are in concats 1237 frac 0.002\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": "2024-11-12T09:55:01.767453Z", "iopub.status.busy": "2024-11-12T09:55:01.767161Z", "iopub.status.idle": "2024-11-12T09:55:05.428189Z", "shell.execute_reply": "2024-11-12T09:55:05.427520Z", "shell.execute_reply.started": "2024-11-12T09:55:01.767436Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "count 5.320110e+07\n", "mean 3.835871e+02\n", "std 1.423588e+03\n", "min 1.000000e+00\n", "25% 1.800000e+01\n", "50% 5.800000e+01\n", "75% 3.070000e+02\n", "max 2.967800e+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": "2024-11-12T09:55:05.431185Z", "iopub.status.busy": "2024-11-12T09:55:05.430911Z", "iopub.status.idle": "2024-11-12T09:56:36.577506Z", "shell.execute_reply": "2024-11-12T09:56:36.576843Z", "shell.execute_reply.started": "2024-11-12T09:55:05.431169Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has upvoted upvoted\n", "False 50494316\n", "True 2706786\n", "Name: count, dtype: int64 upvoted\n", "False 0.949122\n", "True 0.050878\n", "Name: proportion, dtype: float64 upvote_count\n", "False 0.947668\n", "True 0.052332\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": "2024-11-12T09:56:36.578460Z", "iopub.status.busy": "2024-11-12T09:56:36.578178Z", "iopub.status.idle": "2024-11-12T09:58:01.816227Z", "shell.execute_reply": "2024-11-12T09:58:01.815546Z", "shell.execute_reply.started": "2024-11-12T09:56:36.578444Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "downvoted fraction by category:\n", "False: 50994699 (95.85%)\n", "True: 2206403 (4.15%)\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": "2024-11-12T09:58:01.817179Z", "iopub.status.busy": "2024-11-12T09:58:01.816900Z", "iopub.status.idle": "2024-11-12T09:59:05.893313Z", "shell.execute_reply": "2024-11-12T09:59:05.892650Z", "shell.execute_reply.started": "2024-11-12T09:58:01.817163Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has_continued fraction by category:\n", "False: 52763058 (99.18%)\n", "True: 438044 (0.82%)\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": "2024-11-12T09:59:05.894129Z", "iopub.status.busy": "2024-11-12T09:59:05.893990Z", "iopub.status.idle": "2024-11-12T09:59:07.382462Z", "shell.execute_reply": "2024-11-12T09:59:07.381806Z", "shell.execute_reply.started": "2024-11-12T09:59:05.894116Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has upvoted in exp 0.05088\n", "has downvoted out of exp 0.04147\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": "2024-11-12T09:59:07.383331Z", "iopub.status.busy": "2024-11-12T09:59:07.383089Z", "iopub.status.idle": "2024-11-12T10:00:09.796202Z", "shell.execute_reply": "2024-11-12T10:00:09.795483Z", "shell.execute_reply.started": "2024-11-12T09:59:07.383316Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "part_of_concat fraction by category:\n", "False: 52748937 (99.15%)\n", "True: 452165 (0.85%)\n", "------------\n", "Model distribution for part_of_concat clips:\n", "chirp-v3p5-engine-s-8: 55.93%\n", "chirp-v3p5-engine-t-6: 24.62%\n", "chirp-v3p5-engine-upload-4: 8.89%\n", "chirp-v3p5-engine-s-31: 4.21%\n", "chirp-v3-engine-i: 2.44%\n", "chirp-v3p5-engine-b: 1.04%\n", "chirp-v3p5-engine-s-8-cfg-ramp: 0.40%\n", "chirp-v3p5-h-s-31: 0.37%\n", "chirp-v3p5-engine-s-8-copy: 0.31%\n", "chirp-v3p5-engine-s-8-cfg-refactor2: 0.28%\n", "chirp-v3p5-engine-s-8-cfg-refactor: 0.23%\n", "chirp-v2-xxl-alpha: 0.23%\n", "chirp-v3p5-engine-copy: 0.21%\n", "chirp-v3p5-engine-t-5: 0.20%\n", "chirp-v3p5-engine-t-6-1: 0.15%\n", "chirp-v3p5-engine-t-6-2: 0.15%\n", "chirp-v3p5-engine-t-6-1-b20: 0.13%\n", "chirp-v3p5-engine-ft-1: 0.12%\n", "chirp-v4-h-s-31: 0.04%\n", "chirp-v3p5-h-t-6: 0.02%\n", "chirp-v3p5-engine-s-29-6: 0.01%\n", "chirp-v4-h-t-6: 0.01%\n", "chirp-v3p5-engine-cfg-refactor: 0.00%\n", "chirp-v4-up-u-0: 0.00%\n", "chirp-v4-up-u-1: 0.00%\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": "2024-11-12T10:00:09.797199Z", "iopub.status.busy": "2024-11-12T10:00:09.796903Z", "iopub.status.idle": "2024-11-12T10:02:39.331836Z", "shell.execute_reply": "2024-11-12T10:02:39.331161Z", "shell.execute_reply.started": "2024-11-12T10:00:09.797183Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has_action fraction by category:\n", "False: 52638545 (98.94%)\n", "True: 562557 (1.06%)\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": "2024-11-12T10:02:39.332810Z", "iopub.status.busy": "2024-11-12T10:02:39.332518Z", "iopub.status.idle": "2024-11-12T10:03:13.788048Z", "shell.execute_reply": "2024-11-12T10:03:13.787374Z", "shell.execute_reply.started": "2024-11-12T10:02:39.332794Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "flagged fraction by category:\n", "False: 53115474 (99.84%)\n", "True: 85628 (0.16%)\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": "2024-11-12T10:03:13.788990Z", "iopub.status.busy": "2024-11-12T10:03:13.788695Z", "iopub.status.idle": "2024-11-12T10:03:13.952075Z", "shell.execute_reply": "2024-11-12T10:03:13.951398Z", "shell.execute_reply.started": "2024-11-12T10:03:13.788974Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "deleted fraction by category:\n", "False: 44893048 (84.38%)\n", "True: 8308054 (15.62%)\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": "2024-11-12T10:03:13.953343Z", "iopub.status.busy": "2024-11-12T10:03:13.952767Z", "iopub.status.idle": "2024-11-12T10:03:19.975926Z", "shell.execute_reply": "2024-11-12T10:03:19.975255Z", "shell.execute_reply.started": "2024-11-12T10:03:13.953326Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total clips: 53,201,102\n", "Must be positive: 3,671,553 (6.90%)\n", "Definitely not negative: 42,887,031 (80.61%)\n", "Must be negative: 10,314,071 (19.39%)\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": "2024-11-12T10:03:19.976714Z", "iopub.status.busy": "2024-11-12T10:03:19.976581Z", "iopub.status.idle": "2024-11-12T10:06:55.367909Z", "shell.execute_reply": "2024-11-12T10:06:55.367223Z", "shell.execute_reply.started": "2024-11-12T10:03:19.976700Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Liked requests: 2,757,829\n", "Not liked requests: 26,076,430\n", "Requests with preference paired generations: 2,117,867\n", "Percentage of total unique requests: 7.93%\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": "2024-11-12T10:06:55.368864Z", "iopub.status.busy": "2024-11-12T10:06:55.368576Z", "iopub.status.idle": "2024-11-12T10:08:42.636869Z", "shell.execute_reply": "2024-11-12T10:08:42.636200Z", "shell.execute_reply.started": "2024-11-12T10:06:55.368848Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Disliked requests: 5,978,209\n", "Not disliked requests: 22,312,749\n", "Requests with preference paired generations: 1,574,566\n", "Percentage of total unique requests: 5.89%\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": "2024-11-12T10:08:42.637643Z", "iopub.status.busy": "2024-11-12T10:08:42.637508Z", "iopub.status.idle": "2024-11-12T10:08:44.205612Z", "shell.execute_reply": "2024-11-12T10:08:44.204944Z", "shell.execute_reply.started": "2024-11-12T10:08:42.637629Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total selected pairs of requests: 3,185,124\n", "Percentage of total unique requests: 11.92%\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": "2024-11-12T10:08:44.206544Z", "iopub.status.busy": "2024-11-12T10:08:44.206286Z", "iopub.status.idle": "2024-11-12T10:08:44.512191Z", "shell.execute_reply": "2024-11-12T10:08:44.511502Z", "shell.execute_reply.started": "2024-11-12T10:08:44.206529Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Difference in preference counts:\n", "0: 39,511,106 (74.27%)\n", "-1: 10,314,071 (19.39%)\n", "1: 3,375,925 (6.35%)\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": "2024-11-12T10:08:44.513117Z", "iopub.status.busy": "2024-11-12T10:08:44.512870Z", "iopub.status.idle": "2024-11-12T10:10:14.707392Z", "shell.execute_reply": "2024-11-12T10:10:14.706689Z", "shell.execute_reply.started": "2024-11-12T10:08:44.513100Z" } }, "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": "2024-11-12T10:10:14.708254Z", "iopub.status.busy": "2024-11-12T10:10:14.708111Z", "iopub.status.idle": "2024-11-12T10:11:02.809870Z", "shell.execute_reply": "2024-11-12T10:11:02.809288Z", "shell.execute_reply.started": "2024-11-12T10:10:14.708240Z" } }, "outputs": [ { "data": { "text/html": [ "
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request_idpos_preferenceneg_preferencediff_preference
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" ], "text/plain": [ " request_id pos_preference neg_preference diff_preference\n", "0 00001735-22b7-4f87-9f46-4c95344a2645 False True -1\n", "1 00001735-22b7-4f87-9f46-4c95344a2645 False False 0\n", "2 00001d9b-c4c8-48e2-8cff-ffc9e39597c0 False False 0\n", "3 00001d9b-c4c8-48e2-8cff-ffc9e39597c0 True False 1\n", "4 00001dfb-2404-48d1-bd2a-c63210c24236 False False 0\n", "5 00001dfb-2404-48d1-bd2a-c63210c24236 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": "2024-11-12T10:11:02.810784Z", "iopub.status.busy": "2024-11-12T10:11:02.810510Z", "iopub.status.idle": "2024-11-12T10:11:02.853213Z", "shell.execute_reply": "2024-11-12T10:11:02.852647Z", "shell.execute_reply.started": "2024-11-12T10:11:02.810769Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Difference 0: 2,677,815 (42.04%)\n", "Difference 1: 2,117,867 (33.25%)\n", "Difference -1: 1,574,566 (24.72%)\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": "2024-11-12T10:11:02.853962Z", "iopub.status.busy": "2024-11-12T10:11:02.853823Z", "iopub.status.idle": "2024-11-12T10:11:02.939794Z", "shell.execute_reply": "2024-11-12T10:11:02.939114Z", "shell.execute_reply.started": "2024-11-12T10:11:02.853950Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Value 1.0: 2,677,815 (84.07%)\n", "Value 2.0: 507,309 (15.93%)\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": "2024-11-12T10:11:02.940728Z", "iopub.status.busy": "2024-11-12T10:11:02.940471Z", "iopub.status.idle": "2024-11-12T10:12:05.653749Z", "shell.execute_reply": "2024-11-12T10:12:05.653046Z", "shell.execute_reply.started": "2024-11-12T10:11:02.940711Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of unique request_ids: 3,185,124\n", "Number of unique ids: 6,370,248\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": "2024-11-12T10:12:05.654758Z", "iopub.status.busy": "2024-11-12T10:12:05.654458Z", "iopub.status.idle": "2024-11-12T10:12:06.814574Z", "shell.execute_reply": "2024-11-12T10:12:06.813926Z", "shell.execute_reply.started": "2024-11-12T10:12:05.654742Z" } }, "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": "2024-11-12T10:12:06.815488Z", "iopub.status.busy": "2024-11-12T10:12:06.815255Z", "iopub.status.idle": "2024-11-12T10:17:46.896150Z", "shell.execute_reply": "2024-11-12T10:17:46.895443Z", "shell.execute_reply.started": "2024-11-12T10:12:06.815473Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of interesting clips: 6,370,248\n", "Unique request and clip counts in interesting_clips:\n", "Request IDs: 3,185,124\n", "Clip IDs: 6,370,248\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": "2024-11-12T10:17:46.896986Z", "iopub.status.busy": "2024-11-12T10:17:46.896832Z", "iopub.status.idle": "2024-11-12T10:17:48.235359Z", "shell.execute_reply": "2024-11-12T10:17:48.234694Z", "shell.execute_reply.started": "2024-11-12T10:17:46.896972Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Preference counts and fractions by batch index:\n", "--------------------------------------------------\n", "Batch Index: 0\n", " Preference False: Count: 1,619,197 Fraction: 50.84%\n", " Preference True: Count: 1,565,927 Fraction: 49.16%\n", "\n", "Batch Index: 1\n", " Preference False: Count: 1,565,927 Fraction: 49.16%\n", " Preference True: Count: 1,619,197 Fraction: 50.84%\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": "2024-11-12T10:17:48.236321Z", "iopub.status.busy": "2024-11-12T10:17:48.236058Z", "iopub.status.idle": "2024-11-12T10:17:49.655220Z", "shell.execute_reply": "2024-11-12T10:17:49.654561Z", "shell.execute_reply.started": "2024-11-12T10:17:48.236305Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "chirp-v3p5-engine-s-8: 4180618 (65.63%)\n", "chirp-v3p5-engine-t-6: 1272688 (19.98%)\n", "chirp-v3p5-engine-upload-4: 331810 (5.21%)\n", "chirp-v3p5-engine-s-31: 277026 (4.35%)\n", "chirp-v3-engine-i: 70466 (1.11%)\n", "chirp-v3p5-engine-b: 33753 (0.53%)\n", "chirp-v3p5-engine-s-8-cfg-ramp: 29393 (0.46%)\n", "chirp-v3p5-engine-s-8-copy: 24584 (0.39%)\n", "chirp-v3p5-h-s-31: 22384 (0.35%)\n", "chirp-v3p5-engine-s-8-cfg-refactor2: 21899 (0.34%)\n", "chirp-v3p5-engine-s-8-cfg-refactor: 16639 (0.26%)\n", "chirp-v3p5-engine-copy: 14781 (0.23%)\n", "chirp-v2-xxl-alpha: 13714 (0.22%)\n", "chirp-v3p5-engine-t-5: 12109 (0.19%)\n", "chirp-v3p5-engine-short: 11834 (0.19%)\n", "chirp-v3p5-engine-ft-1: 8283 (0.13%)\n", "chirp-v3p5-engine-t-6-1: 7949 (0.12%)\n", "chirp-v3p5-engine-t-6-2: 7887 (0.12%)\n", "chirp-v3p5-engine-t-6-1-b20: 6705 (0.11%)\n", "chirp-v4-h-s-31: 2342 (0.04%)\n", "chirp-v3p5-h-t-6: 1095 (0.02%)\n", "chirp-v3p5-engine-s-29-6: 671 (0.01%)\n", "chirp-v4-h-t-6: 580 (0.01%)\n", "chirp-v4-up-u-0: 420 (0.01%)\n", "chirp-v3p5-engine-cfg-refactor: 382 (0.01%)\n", "chirp-v4-up-u-1: 218 (0.00%)\n", "chirp-up-t-0: 14 (0.00%)\n", "chirp-v4: 2 (0.00%)\n", "chirp-up: 2 (0.00%)\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": "2024-11-12T10:17:49.656139Z", "iopub.status.busy": "2024-11-12T10:17:49.655902Z", "iopub.status.idle": "2024-11-12T10:17:49.825638Z", "shell.execute_reply": "2024-11-12T10:17:49.824969Z", "shell.execute_reply.started": "2024-11-12T10:17:49.656123Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Time Validation:\n", "--------------------\n", "Interesting Clips:\n", " Earliest: 2024-10-31 16:00:00.164737+00:00\n", " Latest: 2024-11-12 04:51:51.439649+00:00\n", "\n", "All Clips:\n", " Earliest: 2024-10-31 16:00:00.012799+00:00\n", " Latest: 2024-11-12 04:52:51.485857+00:00\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": "2024-11-12T10:17:49.826604Z", "iopub.status.busy": "2024-11-12T10:17:49.826345Z", "iopub.status.idle": "2024-11-12T10:18:21.360308Z", "shell.execute_reply": "2024-11-12T10:18:21.359613Z", "shell.execute_reply.started": "2024-11-12T10:17:49.826587Z" } }, "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": "2024-11-12T10:18:21.361152Z", "iopub.status.busy": "2024-11-12T10:18:21.361013Z", "iopub.status.idle": "2024-11-12T10:18:31.452919Z", "shell.execute_reply": "2024-11-12T10:18:31.452244Z", "shell.execute_reply.started": "2024-11-12T10:18:21.361138Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ratio of preferred clips to total clips for each model:\n", "------------------------------------------------------------\n", "chirp-up 4.00% ± 3.92%\n", "chirp-up-t-0 3.32% ± 1.23%\n", "chirp-v2-engine-msft-60s nan% ± nan%\n", "chirp-v2-xxl-alpha 3.95% ± 0.05%\n", "chirp-v3-5|chirp-v3-0 nan% ± nan%\n", "chirp-v3-engine-i 3.20% ± 0.02%\n", "chirp-v3.5 nan% ± nan%\n", "chirp-v3.5-0 nan% ± nan%\n", "chirp-v3p5-engine-b 1.51% ± 0.01%\n", "chirp-v3p5-engine-cfg-refactor 5.05% ± 0.37%\n", "chirp-v3p5-engine-copy 5.76% ± 0.07%\n", "chirp-v3p5-engine-ft-1 4.99% ± 0.08%\n", "chirp-v3p5-engine-s-29-6 6.94% ± 0.39%\n", "chirp-v3p5-engine-s-31 6.69% ± 0.02%\n", "chirp-v3p5-engine-s-8 5.51% ± 0.00%\n", "chirp-v3p5-engine-s-8-cfg-ramp 5.61% ± 0.04%\n", "chirp-v3p5-engine-s-8-cfg-refactor 5.57% ± 0.06%\n", "chirp-v3p5-engine-s-8-cfg-refactor2 5.62% ± 0.05%\n", "chirp-v3p5-engine-s-8-copy 5.58% ± 0.05%\n", "chirp-v3p5-engine-short 5.82% ± 0.07%\n", "chirp-v3p5-engine-t-5 8.39% ± 0.10%\n", "chirp-v3p5-engine-t-6 9.23% ± 0.01%\n", "chirp-v3p5-engine-t-6-1 8.88% ± 0.13%\n", "chirp-v3p5-engine-t-6-1-b20 8.31% ± 0.14%\n", "chirp-v3p5-engine-t-6-2 8.48% ± 0.13%\n", "chirp-v3p5-engine-upload-4 6.95% ± 0.02%\n", "chirp-v3p5-h-s-31 7.32% ± 0.07%\n", "chirp-v3p5-h-t-6 6.44% ± 0.31%\n", "chirp-v4 16.67% ± 10.76%\n", "chirp-v4-h-s-31 8.13% ± 0.23%\n", "chirp-v4-h-t-6 10.27% ± 0.57%\n", "chirp-v4-tau nan% ± nan%\n", "chirp-v4-up-u-0 9.88% ± 0.65%\n", "chirp-v4-up-u-1 11.63% ± 1.05%\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": "2024-11-12T10:18:31.453699Z", "iopub.status.busy": "2024-11-12T10:18:31.453564Z", "iopub.status.idle": "2024-11-12T10:19:15.538732Z", "shell.execute_reply": "2024-11-12T10:19:15.538029Z", "shell.execute_reply.started": "2024-11-12T10:18:31.453685Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "len pos models: 3185124\n", "differing counts: 105392\n", "chirp-up-t-0_win_over_chirp-up-t-0, win ratio 1.000, (1.000, 1.000), counts 7, total 7.\n", "chirp-up_win_over_chirp-up, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v2-xxl-alpha_win_over_chirp-v2-xxl-alpha, win ratio 1.000, (1.000, 1.000), counts 6857, total 6857.\n", "chirp-v3-engine-i_win_over_chirp-v3-engine-i, win ratio 1.000, (1.000, 1.000), counts 35233, total 35233.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 16876, total 16876.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-cfg-refactor_win_over_chirp-v3p5-engine-s-8, win ratio 0.474, (0.424, 0.524), counts 181, total 382.\n", "chirp-v3p5-engine-copy_win_over_chirp-v3p5-engine-copy, win ratio 1.000, (1.000, 1.000), counts 7390, total 7390.\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 4141, total 4141.\n", "chirp-v3p5-engine-s-29-6_win_over_chirp-v3p5-h-s-31, win ratio 0.428, (0.390, 0.465), counts 287, total 671.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31, win ratio 1.000, (1.000, 1.000), counts 138512, total 138512.\n", "chirp-v3p5-engine-s-31_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-cfg-ramp_win_over_chirp-v3p5-engine-s-8, win ratio 0.503, (0.497, 0.509), counts 14789, total 29389.\n", "chirp-v3p5-engine-s-8-cfg-ramp_win_over_chirp-v3p5-engine-s-8-cfg-ramp, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-s-8-cfg-refactor2_win_over_chirp-v3p5-engine-s-8, win ratio 0.499, (0.493, 0.506), counts 10930, total 21889.\n", "chirp-v3p5-engine-s-8-cfg-refactor2_win_over_chirp-v3p5-engine-s-8-cfg-refactor2, win ratio 1.000, (1.000, 1.000), counts 5, total 5.\n", "chirp-v3p5-engine-s-8-cfg-refactor_win_over_chirp-v3p5-engine-s-8, win ratio 0.503, (0.495, 0.510), counts 8364, total 16637.\n", "chirp-v3p5-engine-s-8-cfg-refactor_win_over_chirp-v3p5-engine-s-8-cfg-refactor, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8-copy_win_over_chirp-v3p5-engine-s-8-copy, win ratio 1.000, (1.000, 1.000), counts 12292, total 12292.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-cfg-refactor, win ratio 0.526, (0.476, 0.576), counts 201, total 382.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-copy, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-31, 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 2055813, total 2055813.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-ramp, win ratio 0.497, (0.491, 0.503), counts 14600, total 29389.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-refactor, win ratio 0.497, (0.490, 0.505), counts 8273, total 16637.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-refactor2, win ratio 0.501, (0.494, 0.507), counts 10959, total 21889.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-6, win ratio 0.250, (-0.174, 0.674), counts 1, total 4.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-h-s-31, win ratio 0.315, (0.280, 0.350), counts 216, total 686.\n", "chirp-v3p5-engine-short_win_over_chirp-v3p5-engine-short, win ratio 1.000, (1.000, 1.000), counts 5917, total 5917.\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-6, win ratio 0.489, (0.480, 0.498), counts 5915, total 12105.\n", "chirp-v3p5-engine-t-6-1-b20_win_over_chirp-v3p5-engine-t-6, win ratio 0.491, (0.479, 0.503), counts 3287, total 6699.\n", "chirp-v3p5-engine-t-6-1-b20_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-v3p5-engine-t-6-1_win_over_chirp-v3p5-engine-t-6, win ratio 0.498, (0.487, 0.509), counts 3955, total 7947.\n", "chirp-v3p5-engine-t-6-1_win_over_chirp-v3p5-engine-t-6-1, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6-2_win_over_chirp-v3p5-engine-t-6, win ratio 0.498, (0.487, 0.509), counts 3923, total 7883.\n", "chirp-v3p5-engine-t-6-2_win_over_chirp-v3p5-engine-t-6-2, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-s-8, win ratio 0.750, (0.326, 1.174), counts 3, total 4.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-5, win ratio 0.511, (0.502, 0.520), counts 6190, total 12105.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 619025, total 619025.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1, win ratio 0.502, (0.491, 0.513), counts 3992, total 7947.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 0.509, (0.497, 0.521), counts 3412, total 6699.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-2, win ratio 0.502, (0.491, 0.513), counts 3960, total 7883.\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, (1.000, 1.000), counts 165905, total 165905.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-engine-s-29-6, win ratio 0.572, (0.535, 0.610), counts 384, total 671.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-engine-s-8, win ratio 0.685, (0.650, 0.720), counts 470, total 686.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-h-s-31, win ratio 1.000, (1.000, 1.000), counts 9967, total 9967.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-h-t-6, win ratio 0.633, (0.605, 0.662), counts 692, total 1093.\n", "chirp-v3p5-h-t-6_win_over_chirp-v3p5-h-s-31, win ratio 0.367, (0.338, 0.395), counts 401, total 1093.\n", "chirp-v3p5-h-t-6_win_over_chirp-v3p5-h-t-6, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v4-h-s-31_win_over_chirp-v4-h-s-31, win ratio 1.000, (1.000, 1.000), counts 1170, total 1170.\n", "chirp-v4-h-t-6_win_over_chirp-v4-h-t-6, win ratio 1.000, (1.000, 1.000), counts 290, total 290.\n", "chirp-v4-up-u-0_win_over_chirp-v4-up-u-0, win ratio 1.000, (1.000, 1.000), counts 210, total 210.\n", "chirp-v4-up-u-1_win_over_chirp-v4-up-u-1, win ratio 1.000, (1.000, 1.000), counts 109, total 109.\n", "chirp-v4_win_over_chirp-v4-h-s-31, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "tournament players: ['chirp-v3p5-engine-b', 'chirp-v3p5-engine-cfg-refactor', 'chirp-v3p5-engine-copy', 'chirp-v3p5-engine-ft-1', 'chirp-v3p5-engine-s-29-6', 'chirp-v3p5-engine-s-31', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-s-8-cfg-ramp', 'chirp-v3p5-engine-s-8-cfg-refactor', 'chirp-v3p5-engine-s-8-cfg-refactor2', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-6', 'chirp-v3p5-engine-t-6-1', 'chirp-v3p5-engine-t-6-1-b20', 'chirp-v3p5-engine-t-6-2', 'chirp-v3p5-h-s-31', 'chirp-v3p5-h-t-6', 'chirp-v4', 'chirp-v4-h-s-31']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:05<00:00, 173.83it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-b: 1548.2, (1000, 8340)\n", "chirp-v3p5-engine-cfg-refactor: 938.9, (-256, 2089)\n", "chirp-v3p5-engine-copy: 345.2, (-9861, 1000)\n", "chirp-v3p5-engine-ft-1: 345.2, (-10097, 1000)\n", "chirp-v3p5-engine-s-29-6: 1041.3, (-152, 2208)\n", "chirp-v3p5-engine-s-31: 894.8, (-5100, 4895)\n", "chirp-v3p5-engine-s-8: 956.8, (-236, 2124)\n", "chirp-v3p5-engine-s-8-cfg-ramp: 959.1, (-236, 2126)\n", "chirp-v3p5-engine-s-8-cfg-refactor: 958.7, (-230, 2125)\n", "chirp-v3p5-engine-s-8-cfg-refactor2: 956.4, (-236, 2124)\n", "chirp-v3p5-engine-t-5: 1189.0, (605, 3875)\n", "chirp-v3p5-engine-t-6: 1196.9, (610, 3887)\n", "chirp-v3p5-engine-t-6-1: 1195.3, (605, 3880)\n", "chirp-v3p5-engine-t-6-1-b20: 1190.4, (608, 3881)\n", "chirp-v3p5-engine-t-6-2: 1195.3, (604, 3882)\n", "chirp-v3p5-h-s-31: 1091.8, (-99, 2253)\n", "chirp-v3p5-h-t-6: 996.8, (-204, 2162)\n", "chirp-v4: 2161.4, (1000, 13584)\n", "chirp-v4-h-s-31: -161.4, (-11577, 1000)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "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": "2024-11-12T10:19:15.539559Z", "iopub.status.busy": "2024-11-12T10:19:15.539421Z", "iopub.status.idle": "2024-11-12T10:19:18.089586Z", "shell.execute_reply": "2024-11-12T10:19:18.088996Z", "shell.execute_reply.started": "2024-11-12T10:19:15.539544Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "<__array_function__ internals>:180: RuntimeWarning: Converting input from bool to for compatibility.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "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": "2024-11-12T10:19:18.090484Z", "iopub.status.busy": "2024-11-12T10:19:18.090225Z", "iopub.status.idle": "2024-11-12T10:19:18.111261Z", "shell.execute_reply": "2024-11-12T10:19:18.110792Z", "shell.execute_reply.started": "2024-11-12T10:19:18.090469Z" } }, "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": "2024-11-12T10:19:18.112143Z", "iopub.status.busy": "2024-11-12T10:19:18.111824Z", "iopub.status.idle": "2024-11-12T10:20:19.068706Z", "shell.execute_reply": "2024-11-12T10:20:19.068014Z", "shell.execute_reply.started": "2024-11-12T10:19:18.112128Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of clips in interesting_clips:\n", "6,370,248\n", "Number of clips in user_interesting_clips:\n", "5,949,212\n", "Ratio of preferred clips to total clips for each model:\n", "------------------------------------------------------------\n", "chirp-up nan% ± nan%\n", "chirp-up-t-0 nan% ± nan%\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-v3.5 nan% ± nan%\n", "chirp-v3.5-0 nan% ± nan%\n", "chirp-v3p5-engine-b 1.31% ± 0.01%\n", "chirp-v3p5-engine-cfg-refactor 4.74% ± 0.35%\n", "chirp-v3p5-engine-copy 5.45% ± 0.06%\n", "chirp-v3p5-engine-ft-1 4.70% ± 0.07%\n", "chirp-v3p5-engine-s-29-6 6.48% ± 0.38%\n", "chirp-v3p5-engine-s-31 6.33% ± 0.02%\n", "chirp-v3p5-engine-s-8 5.19% ± 0.00%\n", "chirp-v3p5-engine-s-8-cfg-ramp 5.26% ± 0.04%\n", "chirp-v3p5-engine-s-8-cfg-refactor 5.22% ± 0.06%\n", "chirp-v3p5-engine-s-8-cfg-refactor2 5.28% ± 0.05%\n", "chirp-v3p5-engine-s-8-copy 5.24% ± 0.05%\n", "chirp-v3p5-engine-short 4.20% ± 0.06%\n", "chirp-v3p5-engine-t-5 8.04% ± 0.10%\n", "chirp-v3p5-engine-t-6 8.89% ± 0.01%\n", "chirp-v3p5-engine-t-6-1 8.50% ± 0.13%\n", "chirp-v3p5-engine-t-6-1-b20 7.92% ± 0.14%\n", "chirp-v3p5-engine-t-6-2 8.13% ± 0.13%\n", "chirp-v3p5-engine-upload-4 6.72% ± 0.02%\n", "chirp-v3p5-h-s-31 6.95% ± 0.06%\n", "chirp-v3p5-h-t-6 6.04% ± 0.30%\n", "chirp-v4 16.67% ± 10.76%\n", "chirp-v4-h-s-31 7.87% ± 0.22%\n", "chirp-v4-h-t-6 9.70% ± 0.56%\n", "chirp-v4-tau nan% ± nan%\n", "chirp-v4-up-u-0 9.50% ± 0.64%\n", "chirp-v4-up-u-1 10.99% ± 1.02%\n" ] } ], "source": [ "# subselect interesting clips\n", "interesting_clips_masks = (interesting_clips[\"model_name\"].str.contains(\"v3p5|v4\")) & (\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": "2024-11-12T10:20:19.069722Z", "iopub.status.busy": "2024-11-12T10:20:19.069374Z", "iopub.status.idle": "2024-11-12T10:20:20.724104Z", "shell.execute_reply": "2024-11-12T10:20:20.723521Z", "shell.execute_reply.started": "2024-11-12T10:20:19.069706Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "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": "2024-11-12T10:20:20.724973Z", "iopub.status.busy": "2024-11-12T10:20:20.724734Z", "iopub.status.idle": "2024-11-12T10:20:24.899440Z", "shell.execute_reply": "2024-11-12T10:20:24.898793Z", "shell.execute_reply.started": "2024-11-12T10:20:20.724957Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Summary of user_interesting_clips:\n", "Total requests: 5,949,212\n", "Unique clips: 2,974,606\n", "Fraction of total clips: 10.88%\n", "Time Validation:\n", "Earliest timestamp: 2024-10-31 16:00:00.164737+00:00\n", "Latest timestamp: 2024-11-12 04:28:52.972221+00:00\n", "Earliest timestamp: 2024-10-31 16:00:00.772182+00:00\n", "Latest timestamp: 2024-11-12 04:28:52.972221+00:00\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": "2024-11-12T10:20:24.900349Z", "iopub.status.busy": "2024-11-12T10:20:24.900104Z", "iopub.status.idle": "2024-11-12T10:20:24.921439Z", "shell.execute_reply": "2024-11-12T10:20:24.920958Z", "shell.execute_reply.started": "2024-11-12T10:20:24.900334Z" } }, "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": "2024-11-12T10:20:24.922109Z", "iopub.status.busy": "2024-11-12T10:20:24.921988Z", "iopub.status.idle": "2024-11-12T10:21:07.753697Z", "shell.execute_reply": "2024-11-12T10:21:07.753026Z", "shell.execute_reply.started": "2024-11-12T10:20:24.922097Z" } }, "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": "2024-11-12T10:21:07.754783Z", "iopub.status.busy": "2024-11-12T10:21:07.754419Z", "iopub.status.idle": "2024-11-12T10:22:32.756749Z", "shell.execute_reply": "2024-11-12T10:22:32.756066Z", "shell.execute_reply.started": "2024-11-12T10:21:07.754766Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(5949212, 52)\n", "Model Name Value Counts and Fractions:\n", "chirp-v3p5-engine-s-8: 3933964 (66.13%)\n", "chirp-v3p5-engine-t-6: 979240 (16.46%)\n", "chirp-v3p5-engine-upload-4: 320754 (5.39%)\n", "chirp-v3p5-engine-s-31: 247452 (4.16%)\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2: 62244 (1.05%)\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2: 61761 (1.04%)\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2: 61605 (1.04%)\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2: 61314 (1.03%)\n", "chirp-v3p5-engine-b: 29242 (0.49%)\n", "chirp-v3p5-engine-s-8-cfg-ramp: 27602 (0.46%)\n", "chirp-v3p5-engine-s-8-copy: 23090 (0.39%)\n", "chirp-v3p5-h-s-31: 21200 (0.36%)\n", "chirp-v3p5-engine-s-8-cfg-refactor2: 20565 (0.35%)\n", "chirp-v3p5-engine-s-8-cfg-refactor: 15636 (0.26%)\n", "chirp-v3p5-engine-copy: 13977 (0.23%)\n", "chirp-v3p5-engine-t-5: 11565 (0.19%)\n", "chirp-v3p5-engine-short: 8548 (0.14%)\n", "chirp-v3p5-engine-ft-1: 7793 (0.13%)\n", "chirp-v3p5-engine-t-6-1: 7603 (0.13%)\n", "chirp-v3p5-engine-t-6-2: 7560 (0.13%)\n", "chirp-v3p5-engine-t-6-1-b20: 6416 (0.11%)\n", "chirp-v3p5-engine-s-31_n_tag_3: 3726 (0.06%)\n", "chirp-v3p5-engine-s-31_n_tag_2: 3685 (0.06%)\n", "chirp-v3p5-engine-s-31_cfg_s_30: 3664 (0.06%)\n", "chirp-v3p5-engine-s-31_cfg_s_20: 3537 (0.06%)\n", "chirp-v4-h-s-31: 2266 (0.04%)\n", "chirp-v3p5-h-t-6: 1045 (0.02%)\n", "chirp-v3p5-engine-s-29-6: 631 (0.01%)\n", "chirp-v4-h-t-6: 548 (0.01%)\n", "chirp-v3p5-engine-cfg-refactor: 364 (0.01%)\n", "chirp-v4-up-u-0: 288 (0.00%)\n", "chirp-v4-up-u-1: 138 (0.00%)\n", "chirp-v4-up-u-0_text_4: 37 (0.00%)\n", "chirp-v4-up-u-0_text_6: 28 (0.00%)\n", "chirp-v4-up-u-0_text_1: 27 (0.00%)\n", "chirp-v4-up-u-0_text_2: 24 (0.00%)\n", "chirp-v4-up-u-1_text_2: 16 (0.00%)\n", "chirp-v4-up-u-1_text_1: 15 (0.00%)\n", "chirp-v4-up-u-1_step_8: 13 (0.00%)\n", "chirp-v4-up-u-1_text_6: 12 (0.00%)\n", "chirp-v4-up-u-1_text_4: 12 (0.00%)\n", "chirp-v4: 2 (0.00%)\n", "chirp-v3p5-engine-s-8_cfg_s_20: 2 (0.00%)\n", "chirp-v3p5-engine-s-8-cfg-ramp_n_tag_2: 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", " ) or model_name.startswith(\n", " \"chirp-v4\"\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": "2024-11-12T10:22:32.757543Z", "iopub.status.busy": "2024-11-12T10:22:32.757404Z", "iopub.status.idle": "2024-11-12T10:24:08.172094Z", "shell.execute_reply": "2024-11-12T10:24:08.171398Z", "shell.execute_reply.started": "2024-11-12T10:22:32.757529Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "len pos models: 2974606\n", "differing counts: 361309\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 14621, total 14621.\n", "chirp-v3p5-engine-cfg-refactor_win_over_chirp-v3p5-engine-s-8, win ratio 0.467, (0.416, 0.518), counts 170, total 364.\n", "chirp-v3p5-engine-copy_win_over_chirp-v3p5-engine-copy, win ratio 1.000, (1.000, 1.000), counts 6988, total 6988.\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 3896, total 3896.\n", "chirp-v3p5-engine-s-29-6_win_over_chirp-v3p5-h-s-31, win ratio 0.425, (0.386, 0.463), counts 268, total 631.\n", "chirp-v3p5-engine-s-31_cfg_s_20_win_over_chirp-v3p5-engine-s-31, win ratio 0.512, (0.496, 0.528), counts 1811, total 3537.\n", "chirp-v3p5-engine-s-31_cfg_s_30_win_over_chirp-v3p5-engine-s-31, win ratio 0.497, (0.481, 0.513), counts 1822, total 3664.\n", "chirp-v3p5-engine-s-31_n_tag_2_win_over_chirp-v3p5-engine-s-31, win ratio 0.500, (0.484, 0.517), counts 1844, total 3685.\n", "chirp-v3p5-engine-s-31_n_tag_3_win_over_chirp-v3p5-engine-s-31, win ratio 0.505, (0.489, 0.521), counts 1880, total 3726.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31, win ratio 1.000, (1.000, 1.000), counts 116419, total 116419.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_cfg_s_20, win ratio 0.488, (0.472, 0.504), counts 1726, total 3537.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_cfg_s_30, win ratio 0.503, (0.487, 0.519), counts 1842, total 3664.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_n_tag_2, win ratio 0.500, (0.483, 0.516), counts 1841, total 3685.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_n_tag_3, win ratio 0.495, (0.479, 0.511), counts 1846, total 3726.\n", "chirp-v3p5-engine-s-31_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-cfg-ramp_n_tag_2_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-cfg-ramp_win_over_chirp-v3p5-engine-s-8, win ratio 0.502, (0.496, 0.508), counts 13856, total 27598.\n", "chirp-v3p5-engine-s-8-cfg-ramp_win_over_chirp-v3p5-engine-s-8-cfg-ramp, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-s-8-cfg-refactor2_win_over_chirp-v3p5-engine-s-8, win ratio 0.499, (0.492, 0.506), counts 10262, total 20555.\n", "chirp-v3p5-engine-s-8-cfg-refactor2_win_over_chirp-v3p5-engine-s-8-cfg-refactor2, win ratio 1.000, (1.000, 1.000), counts 5, total 5.\n", "chirp-v3p5-engine-s-8-cfg-refactor_win_over_chirp-v3p5-engine-s-8, win ratio 0.501, (0.493, 0.509), counts 7837, total 15634.\n", "chirp-v3p5-engine-s-8-cfg-refactor_win_over_chirp-v3p5-engine-s-8-cfg-refactor, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8-copy_win_over_chirp-v3p5-engine-s-8-copy, win ratio 1.000, (1.000, 1.000), counts 11545, total 11545.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-cfg-refactor, win ratio 0.533, (0.482, 0.584), counts 194, total 364.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-copy, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-31, 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 1934573, total 1934573.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-ramp, win ratio 0.498, (0.492, 0.504), counts 13742, total 27598.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-refactor, win ratio 0.499, (0.491, 0.507), counts 7797, total 15634.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-refactor2, win ratio 0.501, (0.494, 0.508), counts 10293, total 20555.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8_cfg_s_20, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-6, win ratio 0.250, (-0.174, 0.674), counts 1, total 4.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-h-s-31, win ratio 0.305, (0.270, 0.340), counts 200, total 656.\n", "chirp-v3p5-engine-short_win_over_chirp-v3p5-engine-short, win ratio 1.000, (1.000, 1.000), counts 4274, total 4274.\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-6, win ratio 0.490, (0.481, 0.499), counts 5669, total 11561.\n", "chirp-v3p5-engine-t-6-1-b20_win_over_chirp-v3p5-engine-t-6, win ratio 0.489, (0.477, 0.501), counts 3134, total 6409.\n", "chirp-v3p5-engine-t-6-1-b20_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-v3p5-engine-t-6-1_win_over_chirp-v3p5-engine-t-6, win ratio 0.498, (0.487, 0.509), counts 3787, total 7602.\n", "chirp-v3p5-engine-t-6-2_win_over_chirp-v3p5-engine-t-6, win ratio 0.498, (0.487, 0.509), counts 3764, total 7556.\n", "chirp-v3p5-engine-t-6-2_win_over_chirp-v3p5-engine-t-6-2, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.534, (0.530, 0.537), counts 32705, total 61302.\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-6_s_30_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 4, total 4.\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_13_tag_2, win ratio 0.250, (-0.174, 0.674), counts 1, total 4.\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.538, (0.534, 0.542), counts 33229, total 61753.\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.532, (0.528, 0.536), counts 32765, total 61596.\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-6_s_30_t_12_tag_2, win ratio 0.750, (0.326, 1.174), counts 3, total 4.\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_13_tag_2, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.531, (0.527, 0.535), counts 33025, total 62231.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6-1, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_13_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_14_tag_2, win ratio 1.000, (1.000, 1.000), counts 4, total 4.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-s-8, win ratio 0.750, (0.326, 1.174), counts 3, total 4.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-5, win ratio 0.510, (0.501, 0.519), counts 5892, total 11561.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 349613, total 349613.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1, win ratio 0.502, (0.491, 0.513), counts 3815, total 7602.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 0.511, (0.499, 0.523), counts 3275, total 6409.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-2, win ratio 0.502, (0.491, 0.513), counts 3792, total 7556.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_30_t_12_tag_2, win ratio 0.466, (0.463, 0.470), counts 28597, total 61302.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_12_tag_2, win ratio 0.462, (0.458, 0.466), counts 28524, total 61753.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_13_tag_2, win ratio 0.468, (0.464, 0.472), counts 28831, total 61596.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_14_tag_2, win ratio 0.469, (0.465, 0.473), counts 29206, total 62231.\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, (1.000, 1.000), counts 160377, total 160377.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-engine-s-29-6, win ratio 0.575, (0.537, 0.614), counts 363, total 631.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-engine-s-8, win ratio 0.695, (0.660, 0.730), counts 456, total 656.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-h-s-31, win ratio 1.000, (1.000, 1.000), counts 9435, total 9435.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-h-t-6, win ratio 0.640, (0.610, 0.669), counts 667, total 1043.\n", "chirp-v3p5-h-t-6_win_over_chirp-v3p5-h-s-31, win ratio 0.360, (0.331, 0.390), counts 376, total 1043.\n", "chirp-v3p5-h-t-6_win_over_chirp-v3p5-h-t-6, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v4-h-s-31_win_over_chirp-v4-h-s-31, win ratio 1.000, (1.000, 1.000), counts 1132, total 1132.\n", "chirp-v4-h-t-6_win_over_chirp-v4-h-t-6, win ratio 1.000, (1.000, 1.000), counts 274, total 274.\n", "chirp-v4-up-u-0_text_1_win_over_chirp-v4-up-u-0, win ratio 0.222, (0.065, 0.379), counts 6, total 27.\n", "chirp-v4-up-u-0_text_2_win_over_chirp-v4-up-u-0, win ratio 0.375, (0.181, 0.569), counts 9, total 24.\n", "chirp-v4-up-u-0_text_4_win_over_chirp-v4-up-u-0, win ratio 0.541, (0.380, 0.701), counts 20, total 37.\n", "chirp-v4-up-u-0_text_6_win_over_chirp-v4-up-u-0, win ratio 0.214, (0.062, 0.366), counts 6, total 28.\n", "chirp-v4-up-u-0_win_over_chirp-v4-up-u-0, win ratio 1.000, (1.000, 1.000), counts 86, total 86.\n", "chirp-v4-up-u-0_win_over_chirp-v4-up-u-0_text_1, win ratio 0.778, (0.621, 0.935), counts 21, total 27.\n", "chirp-v4-up-u-0_win_over_chirp-v4-up-u-0_text_2, win ratio 0.625, (0.431, 0.819), counts 15, total 24.\n", "chirp-v4-up-u-0_win_over_chirp-v4-up-u-0_text_4, win ratio 0.459, (0.299, 0.620), counts 17, total 37.\n", "chirp-v4-up-u-0_win_over_chirp-v4-up-u-0_text_6, win ratio 0.786, (0.634, 0.938), counts 22, total 28.\n", "chirp-v4-up-u-1_step_8_win_over_chirp-v4-up-u-1, win ratio 0.615, (0.351, 0.880), counts 8, total 13.\n", "chirp-v4-up-u-1_text_1_win_over_chirp-v4-up-u-1, win ratio 0.333, (0.095, 0.572), counts 5, total 15.\n", "chirp-v4-up-u-1_text_2_win_over_chirp-v4-up-u-1, win ratio 0.375, (0.138, 0.612), counts 6, total 16.\n", "chirp-v4-up-u-1_text_4_win_over_chirp-v4-up-u-1, win ratio 0.500, (0.217, 0.783), counts 6, total 12.\n", "chirp-v4-up-u-1_text_6_win_over_chirp-v4-up-u-1, win ratio 0.417, (0.138, 0.696), counts 5, total 12.\n", "chirp-v4-up-u-1_win_over_chirp-v4-up-u-1, win ratio 1.000, (1.000, 1.000), counts 35, total 35.\n", "chirp-v4-up-u-1_win_over_chirp-v4-up-u-1_step_8, win ratio 0.385, (0.120, 0.649), counts 5, total 13.\n", "chirp-v4-up-u-1_win_over_chirp-v4-up-u-1_text_1, win ratio 0.667, (0.428, 0.905), counts 10, total 15.\n", "chirp-v4-up-u-1_win_over_chirp-v4-up-u-1_text_2, win ratio 0.625, (0.388, 0.862), counts 10, total 16.\n", "chirp-v4-up-u-1_win_over_chirp-v4-up-u-1_text_4, win ratio 0.500, (0.217, 0.783), counts 6, total 12.\n", "chirp-v4-up-u-1_win_over_chirp-v4-up-u-1_text_6, win ratio 0.583, (0.304, 0.862), counts 7, total 12.\n", "chirp-v4_win_over_chirp-v4-h-s-31, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "tournament players: ['chirp-v3p5-engine-cfg-refactor', 'chirp-v3p5-engine-copy', 'chirp-v3p5-engine-ft-1', 'chirp-v3p5-engine-s-29-6', 'chirp-v3p5-engine-s-31', 'chirp-v3p5-engine-s-31_cfg_s_20', 'chirp-v3p5-engine-s-31_cfg_s_30', 'chirp-v3p5-engine-s-31_n_tag_2', 'chirp-v3p5-engine-s-31_n_tag_3', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-s-8-cfg-ramp', 'chirp-v3p5-engine-s-8-cfg-ramp_n_tag_2', 'chirp-v3p5-engine-s-8-cfg-refactor', 'chirp-v3p5-engine-s-8-cfg-refactor2', 'chirp-v3p5-engine-s-8_cfg_s_20', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-6', 'chirp-v3p5-engine-t-6-1', 'chirp-v3p5-engine-t-6-1-b20', 'chirp-v3p5-engine-t-6-2', 'chirp-v3p5-engine-t-6_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_13_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_14_tag_2', 'chirp-v3p5-h-s-31', 'chirp-v3p5-h-t-6', 'chirp-v4', 'chirp-v4-h-s-31', 'chirp-v4-up-u-0', 'chirp-v4-up-u-0_text_1', 'chirp-v4-up-u-0_text_2', 'chirp-v4-up-u-0_text_4', 'chirp-v4-up-u-0_text_6', 'chirp-v4-up-u-1', 'chirp-v4-up-u-1_step_8', 'chirp-v4-up-u-1_text_1', 'chirp-v4-up-u-1_text_2', 'chirp-v4-up-u-1_text_4', 'chirp-v4-up-u-1_text_6']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:58<00:00, 17.20it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-cfg-refactor: 971.3, (707, 1174)\n", "chirp-v3p5-engine-copy: 548.1, (-171, 1000)\n", "chirp-v3p5-engine-ft-1: 548.1, (-220, 1000)\n", "chirp-v3p5-engine-s-29-6: 1083.5, (820, 1287)\n", "chirp-v3p5-engine-s-31: 990.5, (646, 1301)\n", "chirp-v3p5-engine-s-31_cfg_s_20: 998.8, (657, 1314)\n", "chirp-v3p5-engine-s-31_cfg_s_30: 988.5, (644, 1305)\n", "chirp-v3p5-engine-s-31_n_tag_2: 990.7, (640, 1306)\n", "chirp-v3p5-engine-s-31_n_tag_3: 993.6, (645, 1305)\n", "chirp-v3p5-engine-s-8: 993.4, (735, 1190)\n", "chirp-v3p5-engine-s-8-cfg-ramp: 994.9, (735, 1191)\n", "chirp-v3p5-engine-s-8-cfg-ramp_n_tag_2: 1419.2, (1000, 2002)\n", "chirp-v3p5-engine-s-8-cfg-refactor: 994.3, (731, 1191)\n", "chirp-v3p5-engine-s-8-cfg-refactor2: 992.9, (732, 1188)\n", "chirp-v3p5-engine-s-8_cfg_s_20: 306.0, (-547, 1000)\n", "chirp-v3p5-engine-t-5: 1097.2, (912, 1421)\n", "chirp-v3p5-engine-t-6: 1103.9, (916, 1425)\n", "chirp-v3p5-engine-t-6-1: 1102.5, (916, 1418)\n", "chirp-v3p5-engine-t-6-1-b20: 1096.1, (909, 1416)\n", "chirp-v3p5-engine-t-6-2: 1102.7, (913, 1421)\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2: 1127.2, (939, 1448)\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2: 1130.4, (942, 1450)\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2: 1126.1, (937, 1446)\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2: 1125.3, (936, 1445)\n", "chirp-v3p5-h-s-31: 1136.9, (880, 1333)\n", "chirp-v3p5-h-t-6: 1037.8, (778, 1234)\n", "chirp-v4: 1473.2, (1000, 2031)\n", "chirp-v4-h-s-31: 526.8, (-25, 1000)\n", "chirp-v4-up-u-0: 1105.3, (1046, 1177)\n", "chirp-v4-up-u-0_text_1: 884.9, (714, 1007)\n", "chirp-v4-up-u-0_text_2: 1002.1, (858, 1160)\n", "chirp-v4-up-u-0_text_4: 1130.5, (1029, 1268)\n", "chirp-v4-up-u-0_text_6: 877.2, (714, 1015)\n", "chirp-v4-up-u-1: 1031.3, (941, 1138)\n", "chirp-v4-up-u-1_step_8: 1114.4, (940, 1411)\n", "chirp-v4-up-u-1_text_1: 908.3, (676, 1089)\n", "chirp-v4-up-u-1_text_2: 940.4, (732, 1130)\n", "chirp-v4-up-u-1_text_4: 1031.6, (803, 1245)\n", "chirp-v4-up-u-1_text_6: 974.0, (693, 1183)\n" ] }, { "data": { "image/png": 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", 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" ] }, "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": "2024-11-12T10:24:08.172981Z", "iopub.status.busy": "2024-11-12T10:24:08.172816Z", "iopub.status.idle": "2024-11-12T10:24:46.873355Z", "shell.execute_reply": "2024-11-12T10:24:46.872661Z", "shell.execute_reply.started": "2024-11-12T10:24:08.172966Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "first gen\n", "len pos models: 2020219\n", "differing counts: 79105\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 8255, total 8255.\n", "chirp-v3p5-engine-cfg-refactor_win_over_chirp-v3p5-engine-s-8, win ratio 0.466, (0.411, 0.520), counts 149, total 320.\n", "chirp-v3p5-engine-copy_win_over_chirp-v3p5-engine-copy, win ratio 1.000, (1.000, 1.000), counts 6170, total 6170.\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 3396, total 3396.\n", "chirp-v3p5-engine-s-29-6_win_over_chirp-v3p5-h-s-31, win ratio 0.420, (0.379, 0.460), counts 243, total 579.\n", "chirp-v3p5-engine-s-31_cfg_s_20_win_over_chirp-v3p5-engine-s-31, win ratio 0.509, (0.491, 0.526), counts 1584, total 3114.\n", "chirp-v3p5-engine-s-31_cfg_s_30_win_over_chirp-v3p5-engine-s-31, win ratio 0.493, (0.476, 0.510), counts 1597, total 3240.\n", "chirp-v3p5-engine-s-31_n_tag_2_win_over_chirp-v3p5-engine-s-31, win ratio 0.505, (0.487, 0.522), counts 1657, total 3284.\n", "chirp-v3p5-engine-s-31_n_tag_3_win_over_chirp-v3p5-engine-s-31, win ratio 0.505, (0.488, 0.522), counts 1675, total 3314.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31, win ratio 1.000, (1.000, 1.000), counts 103828, total 103828.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_cfg_s_20, win ratio 0.491, (0.474, 0.509), counts 1530, total 3114.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_cfg_s_30, win ratio 0.507, (0.490, 0.524), counts 1643, total 3240.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_n_tag_2, win ratio 0.495, (0.478, 0.513), counts 1627, total 3284.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_n_tag_3, win ratio 0.495, (0.478, 0.512), counts 1639, total 3314.\n", "chirp-v3p5-engine-s-8-cfg-ramp_n_tag_2_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-cfg-ramp_win_over_chirp-v3p5-engine-s-8, win ratio 0.501, (0.495, 0.507), counts 12131, total 24223.\n", "chirp-v3p5-engine-s-8-cfg-ramp_win_over_chirp-v3p5-engine-s-8-cfg-ramp, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8-cfg-refactor2_win_over_chirp-v3p5-engine-s-8, win ratio 0.499, (0.492, 0.506), counts 9039, total 18109.\n", "chirp-v3p5-engine-s-8-cfg-refactor2_win_over_chirp-v3p5-engine-s-8-cfg-refactor2, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-v3p5-engine-s-8-cfg-refactor_win_over_chirp-v3p5-engine-s-8, win ratio 0.501, (0.493, 0.510), counts 6877, total 13721.\n", "chirp-v3p5-engine-s-8-cfg-refactor_win_over_chirp-v3p5-engine-s-8-cfg-refactor, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8-copy_win_over_chirp-v3p5-engine-s-8-copy, win ratio 1.000, (1.000, 1.000), counts 10256, total 10256.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-cfg-refactor, win ratio 0.534, (0.480, 0.589), counts 171, total 320.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-copy, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-31, 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 1704045, total 1704045.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-ramp, win ratio 0.499, (0.493, 0.505), counts 12092, total 24223.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-refactor, win ratio 0.499, (0.490, 0.507), counts 6844, total 13721.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-refactor2, win ratio 0.501, (0.494, 0.508), counts 9070, total 18109.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8_cfg_s_20, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-6, win ratio 0.250, (-0.174, 0.674), counts 1, total 4.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-h-s-31, win ratio 0.309, (0.272, 0.345), counts 187, total 606.\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-6, win ratio 0.484, (0.464, 0.503), counts 1208, total 2497.\n", "chirp-v3p5-engine-t-6-1-b20_win_over_chirp-v3p5-engine-t-6, win ratio 0.482, (0.456, 0.507), counts 704, total 1462.\n", "chirp-v3p5-engine-t-6-1_win_over_chirp-v3p5-engine-t-6, win ratio 0.514, (0.491, 0.537), counts 927, total 1803.\n", "chirp-v3p5-engine-t-6-2_win_over_chirp-v3p5-engine-t-6, win ratio 0.494, (0.472, 0.517), counts 936, total 1893.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-s-8, win ratio 0.750, (0.326, 1.174), counts 3, total 4.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-5, win ratio 0.516, (0.497, 0.536), counts 1289, total 2497.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 95849, total 95849.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1, win ratio 0.486, (0.463, 0.509), counts 876, total 1803.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 0.518, (0.493, 0.544), counts 758, total 1462.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-2, win ratio 0.506, (0.483, 0.528), counts 957, total 1893.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-engine-s-29-6, win ratio 0.580, (0.540, 0.621), counts 336, total 579.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-engine-s-8, win ratio 0.691, (0.655, 0.728), counts 419, total 606.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-h-s-31, win ratio 1.000, (1.000, 1.000), counts 8472, total 8472.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-h-t-6, win ratio 0.653, (0.623, 0.684), counts 607, total 929.\n", "chirp-v3p5-h-t-6_win_over_chirp-v3p5-h-s-31, win ratio 0.347, (0.316, 0.377), counts 322, total 929.\n", "chirp-v4-h-s-31_win_over_chirp-v4-h-s-31, win ratio 1.000, (1.000, 1.000), counts 838, total 838.\n", "chirp-v4_win_over_chirp-v4-h-s-31, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "tournament players: ['chirp-v3p5-engine-cfg-refactor', 'chirp-v3p5-engine-copy', 'chirp-v3p5-engine-s-29-6', 'chirp-v3p5-engine-s-31', 'chirp-v3p5-engine-s-31_cfg_s_20', 'chirp-v3p5-engine-s-31_cfg_s_30', 'chirp-v3p5-engine-s-31_n_tag_2', 'chirp-v3p5-engine-s-31_n_tag_3', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-s-8-cfg-ramp', 'chirp-v3p5-engine-s-8-cfg-ramp_n_tag_2', 'chirp-v3p5-engine-s-8-cfg-refactor', 'chirp-v3p5-engine-s-8-cfg-refactor2', 'chirp-v3p5-engine-s-8_cfg_s_20', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-6', 'chirp-v3p5-engine-t-6-1', 'chirp-v3p5-engine-t-6-1-b20', 'chirp-v3p5-engine-t-6-2', 'chirp-v3p5-h-s-31', 'chirp-v3p5-h-t-6', 'chirp-v4', 'chirp-v4-h-s-31']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:10<00:00, 95.98it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-cfg-refactor: 1277.0, (-480, 7261)\n", "chirp-v3p5-engine-copy: -649.2, (-26969, 1000)\n", "chirp-v3p5-engine-s-29-6: 1384.9, (-385, 7413)\n", "chirp-v3p5-engine-s-31: 665.2, (-5887, 1002)\n", "chirp-v3p5-engine-s-31_cfg_s_20: 671.2, (-5881, 1012)\n", "chirp-v3p5-engine-s-31_cfg_s_30: 660.3, (-5894, 1002)\n", "chirp-v3p5-engine-s-31_n_tag_2: 668.3, (-5882, 1010)\n", "chirp-v3p5-engine-s-31_n_tag_3: 668.9, (-5882, 1010)\n", "chirp-v3p5-engine-s-8: 1301.0, (-474, 7327)\n", "chirp-v3p5-engine-s-8-cfg-ramp: 1301.6, (-476, 7327)\n", "chirp-v3p5-engine-s-8-cfg-ramp_n_tag_2: 2407.7, (1000, 24968)\n", "chirp-v3p5-engine-s-8-cfg-refactor: 1301.9, (-470, 7328)\n", "chirp-v3p5-engine-s-8-cfg-refactor2: 1300.4, (-475, 7323)\n", "chirp-v3p5-engine-s-8_cfg_s_20: -2252.3, (-62784, 1000)\n", "chirp-v3p5-engine-t-5: 1496.6, (840, 13834)\n", "chirp-v3p5-engine-t-6: 1507.9, (846, 13841)\n", "chirp-v3p5-engine-t-6-1: 1517.8, (852, 13858)\n", "chirp-v3p5-engine-t-6-1-b20: 1495.1, (829, 13829)\n", "chirp-v3p5-engine-t-6-2: 1504.1, (834, 13835)\n", "chirp-v3p5-h-s-31: 1441.0, (-333, 7473)\n", "chirp-v3p5-h-t-6: 1330.7, (-444, 7349)\n", "chirp-v4: 3933.2, (1000, 57858)\n", "chirp-v4-h-s-31: -1933.2, (-53492, 1000)\n" ] }, { "data": { "image/png": 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9ehQAb29vJkyYwKxZs5g1axb58uWjV69eHD9+/wVkQkJCWL16NTNnzqR69er4+vrSt29fqlWrxurVq82uPWHCBCpUqEC5cuXo3r07e/bcXYRj6dKlDBgwgGbNmuHn58e4ceMeqRq8QYMGdO/encKFC9O/f3/c3d3Zu3cvABs3biQ1NZVJkyZRqlQp/Pz8CAgIIDQ0lH379mV4vpw5c2Jvb4+TkxPe3t54e3tja2ub4dzLly8TEhLCpk2bCAwMJCAggOPHjzN06NCHxi0iIiIiIiIiIvIkqCe2FTl//jyJiYnUrl37vnNKlSpl+v7OQoc3btzAz88vw/kFChTAw8Mj3XilSpXMWodUrlyZhQsXkpKSwvz58/nss89M+zZs2ECDBg2wt7dn+/bttGnThs2bN+Pq6krdunXNztu3b19eeOEFQkJCmDNnDiNHjuSzzz4zXcvOzo4KFSqY5vv5+eHm5sa5c+eoWLEixYoVM2uLUbVqVS5fvsyiRYuYNm0a33//Pe+++65p//z584mJiSElJYWWLVuaxZKYmGjWw9rZ2RlfX1/Tdp48eYiISFs1Kjo6muvXr1OxYkXTfltbW8qVK5du9eq/u/c5MRgMeHl5mc576tQpgoKCqFq1qtkxt2/fJigoiAMHDtC/f3/T+IQJE2jbtm2G12nTpg0hIWm92qpVq8bnn3+O0WgkMTGRqVOnUrRoUSCtR3aHDh04f/78v2oxIiIiIiIiIiIij8jKO0IriW1FHB0dHzrn3tYcdxLDD0qyZtTq42G6dOlCq1atTNt58uTBzs6OFi1asG7dOtq0acP69etp3bo1dnbm/4t6eHjg4eFB0aJF8fPzo2HDhvz++++mvt2Po0KFChw6lLaCeuPGjalU6W5PyLx587J9+3ZsbW1ZtWpVuoplFxcX0/d/j9VgMPAkWs4/6LxxcXGUK1eO6dOnpzvOw8MDe3t7szYvD1rAct68eabWMXcW8PT29sbOzs6UwAZMH2iEhoYqiS0iIiIiIiIiIplOSWwrUqRIEZycnNizZw+FChXK1Gvdad9xx5EjRyhcuDC2trbkzp3brIL5Dn9/f1566SXOnDnDnj17eO211x54jTvJ9Xt7PycnJ/PHH3+YKp7Pnz9PVFTUfSvJIa2a+U7VuaurK66urmb7y5QpQ0pKCjdu3KB69eoPjOl+cubMiZeXF8eOHaNGjRoApKSkcOLECbM2LP9UuXLl+OGHH/D09EwX9x2FCxdON2Zvb5/uwwkfH59086pWrUpycjJBQUGmKvM7fcALFCiQbr6IiIiIiIiIiMiTpiS2FXF0dKR///5MmzYNe3t7qlatyo0bNzhz5gx16tR5otcKCQkhICCAzp07c+LECZYuXcrIkSMfeEyNGjXw8vJi+PDhFCxY0Kwi+siRIxw7doxq1arh5uZGUFAQM2fOxNfX16wK297envfee4+3334bW1tb3nvvPSpXrmxKai9atIiCBQtSokQJbt++zcqVK9mzZw8LFiy4b1xFixbF39+fESNGMGrUKMqUKcPNmzfZvXs3pUqVolGjRo/0M+nRowefffYZvr6+FCtWjKVLlxIZGWnWduWf8vf354svvmDgwIEMGzaMvHnzEhISwpYtW+jXrx/58uXL8DgfHx+OHDnClStXcHFxIXfu3NjYpG+RX7duXcqVK8eYMWMYM2YMqampTJw4kXr16plVZ4uIiPwXBYfCJ4th7yG4fgPyeIF/M3i5Jzj8dXPa7dsw/kM4fhrOB0GjOjDnEReG/3k3zP0STp8DRweoUdn82DIN0/8NMH2ckTZN0r6/FgGBH8MfpyEoGHo8D2Ne/XePWeSf6jKsBTWalKdY+YIkJybTsfRbj3Rcz7fa0LJ7PXK4OXNi/3nmjFpOyIVw037X3C4MmtSJWs3Kk5pqZOeG3/n0nW9JiLttmlOkTAEGB3SmZKXCREbE8P2Cn/n2k4cvjC6SWbq82pwaTcpRrJxP2uuh3KiHHtP9jVY0bFsV7wK5SUpM4eyxy3wZuJ7Th++uPeWa24VB771ArablSU1NZecPR/h03CoS4hJN5+jxRqt0506Iu037ko/2mnyadB3RlpqtKlOsoi/Jick8n/+Vhx5T77nqtOnXmBJViuDmmZOBtcZy/mjQfee/v2Y4NVpUYnynj9i97qBpvHKjsrz47gsUKVeQhNjbbP1qBwvfXUlqSjZdCU+eLtbdTURJbGszaNAgbG1tmTVrFteuXcPb25suXbo88eu0a9eOhIQEOnbsiK2tLb169aJz584PPMZgMNCmTRs+//xzBg8ebLbPycmJH3/8kdmzZxMXF4e3tzfPPPMMgwYNwsHBwWxe//79efPNNwkLC6N69epMmnT33WJSUhJTp04lLCwMZ2dnSpYsycKFCx/YJxwgICCAuXPnMmXKFK5du0bu3LmpXLnyIyewAfr378/169cZOXIktra2dOrUifr16993UcVH4ezszNKlS5k+fTpDhgwhNjaWvHnzUqdOnftWZkPaAp6jRo2iTZs2JCQksG3bNgoWLJhuno2NDXPnzuX999+ne/fuuLi40KBBg4d+ICEiIpKd9BoG7VtC+7+9/z8fBMZUmDAcfH3gzAUYNw3iE2DEoLQ5KalpCegez8OWXx/9mj/+knau1/pDraqQkgJnzqefN3mUkfo172673fPrOykRPHLDKz1h8cpHv7bIPzV11TC2fLOXrSv2pNtnZ2/Hb+sPcfLgBVp0fbTCl46Dm9G2byM+GLaEq0HX6TXCn/eXDeHlhu+RdDutfd2Ij3vjkScXYzrPwc7eltdn9GDotK4EDl4EgIurE5OWv8rvv51i9ojlFC1TgNdm9CA2Kp4flu58Yo9d5O+mrnyVLSv2snXlvnT77Bxs+W394bTXQ5cHv4e8I/j8NT55eyVXgyJwcLKnff9nmfTVIPrWf4/IGzEAjJjdC488bozp9jF2dra8/mE3hgZ2IXDIYgBWfbqNjUt2mJ03YPkQ/jxy/yTsf13g5jFsWfIbW5b+lm6fnYMdv67ex8m9Z2jxYsNHOp+TiyPHd/3Jr6v28vrcfg+c2/7Vlhm2Hi5WwZf31gxn+dTvmdb3UzwLeDB0dm9sbG2YP3rZI8UhIo/PYHwSTXtF7tGzZ09Kly7N2LFjs/S6q1evZvLkyRw4cCBLr/u4UlNTadWqFa1atXpo65T/umY2HS0dgoiIZFObQ45k+jXul8TOyBfLYPla2LI8/b7RARAd8/BK7ORkaNoFhvSBF9rcf16ZhgZmv2+k6TMPj6vXMChdPPMqsVsUqPTwSZLp7PLmsch1H5TEvqNpp9q8PPH5R6rE/ur3yaz+dBurPt0GgEtOJ5YdncKHry3hl7UHKVQiL/N+HcfQllM581cSrtqzZZm4dCA9q77NjbBI2vR6hhdH+dOt0miSk1IA6DPmOeq0qsiAZ957Ao/6wZLDrmX6NeTh7Arkz/JrPiiJfUfTjjV5eXyHR6rE/jsXVydWnQpkdOc5/L7zTwoVz8u8n8cytPU0zhy9DEC1RmWYuPhletYYx42wqHTnKFqmAJ9sGcXwDh9xfF8Gn5A+YakRNzP9Gn/3oCT2Hc16PMMr07o/UiX2HXl9vVh8esZ9K7GLVfRl4uo3ebXeOJZfnGNWid1nQkeqNCnP0PrvmubXal2FsUuH0Nl3MPExCf/gEf5zqbcz9/zyaLakWq6yoHmdzP/9d8ePu9/Jsms9qvT9A0QkUwQHB7NixQouXLjA6dOnGT9+PMHBwfj7+1s6NBEREflLdCzkcvt35zhxBsLCDdgYoENfeKY9DHgL/swgz/DeR1CnLXR6GVZtsPpF5+UpkM/XE4+8uTj822nTWFx0AqcPX6R09bR2dGWqFSP6VpwpgQ1w+NdTGFONlK5aBIDS1YtybO9ZUwIb4ODPJyhUPB+uuf754vIi2YGdvS2tutclJjKO8yeCAShTrWja6+GvBDbA4d9Op70eqhTJ8Dwtu9XhyrmwLElgWxNHZwdGLRrEx699yc2wyHT77R3tSEpIMhtLjE/E0dmBEvd5rkTkyVE7EZEsYmNjw+rVq5k6dSpGo9HUyuRBi06KiIjIP/fZEpj31d3thNtw5AS8P/Pu2LovoUBe8+MuXYGvVsNbA//d9S+HpP13ziIYNRh88sHCb+DF1+CHpZD7ryT5qy8ZqV0VnBxh5wGY+BHExUPPF/7d9UUepvPQFnQe2sK07eBkT+mqRRk0uZNp7OWG7xEe/M+rL93zpP0PfjPcvHr0Zng07t5upjmR16PN9qempBJ9K840xyOPG1eDIszm3PrrGPc8bsRExv/j2EQy0nlIMzq/2ty07eBkT+kqRRj0/t27SV9+djLhIY9fjVyzSTlGfdIbR2d7blyLYmy3T4i6GQuAu3dOIiMe/Hq4l72jHc+2r86Kj5+u/vBd3vKny4i2pm0HZwfK1PRj8IxeprH+VUcRfjkio8OfiJcDu3Nizxl2rz+U4f4DW47RbkhLGnWqza/f7sU9X266j2kHgEf+3JkWl4iJlVc7KIktT9ySJUssct0OHTrQoUMHi1z7UeTPn5/lyzO4N1lERESeqM7PQctn726PeB+aNUj7uiOPp/kxYeEwYAS0aASd/uVNUsa/1nZ6pQc0/6tV5+RR0OgF2PwzdP7rPfqgF+8eU7YkxMfDguVKYkvm27D4N379/m6SZsTHvdm54TA7N95t7xNxNX0VosjTaMPSnfy6/rBpe8TsXuzceISdP9zzesigKvefOLLrDINbTCWXhystu9Vh9Nw+vOb/AZERMf/4XHVbVsQ5h9MD2538F234fDu/rtpr2h65aBA71uxn55r9prGIf/FBwsPUblOFyo3KMqj22/edc2jbH3w+ZhlDZ/VhxBevkHQ7ma+mrKFC/dIYU607uSiSFZTEFhEREZGnSm63u9XOAI6O4OkOhdOvYQzAtetpVdKVy8HE4f/++t5/Jcj9itwdc3CAQgUgNOz+x1UsC3MXG0hMNHLPutUiT1zMrThibsWZthMTErl1PYbQi+H/+tw3r6VVYLt7u5m+T9vOybnjV0xzcnnlNDvOxtaGnLldTBXcN65FkdvbfE7uv46597wi/1b610MSt65HE3rx+hO7xu34REIvXif04nVOHbrI57+9TYsudVjx8RZuhkeTy/PBr4d7texah33b/jDdmfC0iL4ZS/Rf1emQ9jO7dS2KkPNZ05++cqOy5C+Wh9VXPzMbf2fZUP7YeZoRLSYDsHrWJlbP2oRH/tzE3Iwlb2Fv+r7XmdAL6qMvWSDV0gFYlnpii4iIiIjVCgtPWzSxXMm0ammbJ/DXcblS4OBg5MLd9qYkJUPw1fQtTO516izkyqkEtvy3XQ2K4EZYJJXrlzKNubg6UapKEU4duADAyYPnyZnbheIVC5nmVK5fEoONgVOHLgJw6sAFKtQqjq3d3RdllYZluHz2qlqJyH+ejcEGe8e0msKTBy+kvR4q3PN6qPfX6+HwRbPj8hbyoGLdEmxedv9FWOXxfDN9Pa/UGMvAWm+bvgA+G/EVHwyYn27+jdBbJCYk8Wyn2ly7fJ2zf3uuROTJUyW2iIiIiDxVYuPSekvf8cG4tP+G39NG0yM3XL+RlsAukA9GDIIbt+7u976n3cjZi5CUBJFRaec+eSZtvEyJtP8ePQmjJsPCDyGvN7jmSGsZMmch5M+Tlrj+4q+OYi3+anPy0064fhMqlQVHB9h1AOYthT6dzR/LnWvFxcPNW2nb9vZQvMhj/3hEcHJxxDmHo2l7yisLAcz670ZGRJOaasTbx52cuXOQx8cdG1sbipVLu6Uh5EI4CXG3AZj32zssmvw9u/5qv7Bm/k90ea0lwReuERYUQc+R/yMiLJJdm9L2Xz4Txv7txxk2vRuzRyzHzt6WgZM68cuag9z4q23DT9/tp9ubrXntwx6snLOFIqXz065fI+a9uyrzf0BiVZxcHMxfD4MWAWl3D9wRGRGT9noo4E7O3C7k8fFIez2U9QEg5GI4CXGJAMz7eSyLpqxj16ajODo70GVoc/Zu+YMbYZG4ebji/+IzeObLxW9/tTC5fDaM/T+dYFhgF2aP/gY7O1sGvv8Cv3x/iBth5pXYzTvX5sa1KA78dCIzfyQW4ZTDEWdXJ9N2QK+PAXDPm8s0FhkelfY8FPIkp3sO8hTyTHseKvoCEHIujITYtH+XPv99KgvGrWDX9wcByOmeA+9CnnjmdwegUMn8ANwMizT7+rtrlyMIu3T3LpUXXm/NgR+PYkw1Uu+56nQa7s+kHnNIVTsRyQIG9cQWEREREXl6LPwGPl5keOCcrcuN7PsdgoINBAWn9au+18lf7r5JeHkkhFy9e74O/cznJCTAhSADycl3j3lrINjZwshJaQtLViwDC2dArr9yInZ2sOw7mDInbdvXB0YOho7/M4+jQ7+71z1+GtZvhQL5jGz75hF+ECL38fzAJvQY3uaBc16s8Q7Xrtyg51v/o1nn2qbxj7eOBmBEh484tjvtU5ZCxfPhktPZNGflx1twcnFg6LRuuLo5c3zfOd7p9jFJt5NNcwIHL2LQpE4ErByKMdXIzg2/M/ftlab9cdEJjO0ym8EBnZm9eSRRN2L4+sMf+GHpzifyMxC54/lXmtDjjVYPnPNi7fFpr4fhrWnWqZZp/OMfRwIwouMsju0+C0Ch4nlxyZmWjE1NTaVQ8bw07ViTXO6uRN2M5c8jQbz1/EyC/rxqOk/gq4sZ9P4LBCwfkvZ62HiEueO+NYvBYDDQrFMttq7Y+1QmTF94rTU9337wGle9Sr1OWNB1er3zPM17PmMan7t3EgBvNZ/E0d9OAVCoVAFyuLmY5tRuU5Xh8weYtscsGQLAkvdXs3TSd48cZ43mleg6oi32jvacPxbE+I4zOPDj0Uc+XkQen8FotPI0vohkumY2HR8+SURErNLmkCMPnySZrkWBSpYOQQC7vHksHYL8JTlM/W2zA7sC+S0dggCpEZm3oKI8utTbCZYOQYAtqSsfPimTtKg+PsuutflA1l3rUakntoiIiIiIiIiIiIhkW0pii4iIiIiIiIiIiEi2pZ7YIiIiIiIiIiIiItmZlXeEViW2iIiIiIiIiIiIiGRbqsQWERERERERERERyc5SLR2AZakSW0RERERERERERESyLVVii4iIiIiIiIiIiGRjBvXEFhERERERERERERHJnlSJLSIiIiIiIiIiIpKdqRJbRERERERERERERCR7UiW2iIiIiIiIiIiISHamSmwRERERERERERERkexJldgiIiIiIiIiIiIi2ZkqsUVEREREREREREREsiclsUVEREREREREREQk21I7EREREREREREREZHsLNXSAViWKrFFREREREREREREJNtSJbaIiIiIiIiIiIhINmbQwo4iIiIiIiIiIiIiItmTKrFFRERExGJaFKhk6RBEso3ksGuWDkH+YuftZekQBEgOCbV0CCIi2YcqsUVEREREREREREREsidVYouIiIiIiIiIiIhkZ6mqxBYRERERERERERERyZZUiS0iIiIiIiIiIiKSnakntoiIiIiIiIiIiIhI9qRKbBEREREREREREZHsTJXYIiIiIiIiIiIiIiLZk5LYIiIiIiIiIiIiIpJtqZ2IiIiIiIiIiIiISHamdiIiIiIiIiIiIiIiItmTKrFFREREREREREREsrNUVWKLiIiIiIiIiIiIiGRLqsQWERERERERERERyc6MqZaOwKJUiS0iIiIiIiIiIiIi2ZYqsUVERERERERERESyM6N6YouIiIiIiIiIiIiIZEuqxBYRERERERERERHJzlJViS0iIiIiIiIiIiIiki0piS0iIiIiIiKSDdg72vHGzF588vPbrA+ewzuLXv5nxzvYMWfbGH4Im0uxcgUf+7xlaxRjffAc5mwb81iPQ0REMoHRmHVf2ZCS2CIiIiIiIiLZgI2tDYkJSXz/+U8c/vXUPz7+pXHtuXE18l+dN4ebM8Pn9Ob3307/4+uLiIhkFvXEFhEREREREckGbsclMmfkMgDK1vAjRy7nRz62euNyVG1Yhkl951GjafnHPu+r07rx0+r9pKakUqdVpcd4FCIikimyaYV0VlEltoiIiIiIiMh/WG7vnAz7oDvThywiIT7xsc/TrEsd8hX24qvpG55gdCIiIv+ektgiIiIiIiIi/2FvzHyRDYt/48yRoMc+R4Gi3vR5ux3TBi0kNSX1CUYnIiLy76mdiIiIiIiIiMh/VNt+z+Li6siKmZse+xw2NgZGzn2JpYHrCT5/7QlGJyIiT4yVtxNREltERERERETkP6pS/ZKUrl6M7y/PNhuf9eMoflq1nw+GfvnQczi7OlGyShH8KhRiUEBnAAw2BmxsbFgfPIexnWdzZIcWehQREctREvspc+XKFZo0acKaNWsoU6ZMhnNWr17N5MmTOXDgQBZHZz169uxJ6dKlGTt2rKVDERERERGRp9inY1eweMo607Zn3lxMWjGUgAFfcPrQhUc6R1x0Aq80fM9s7H+9G1Cpfikm9ZvP1aDrTzRmERF5DKnW3epJSWwr1Lp1axo2bGix67/yyiucOnWKiIgIcuXKRZ06dRg+fDh58+Z95HPs3buXXr16pRvfsWMH3t7eTzLcxzJ79mzs7DL/5fVPkuVGo5EFCxawYsUKgoODcXd3p1u3bgwcOPC+x5w5c4ZZs2Zx/PhxgoODGT16NL17936Cj0BERERERO7lWzIfdvZ25HTPgbOrI8XKFQTg/PErAJSsUpjhs3sz+oWPiLgaSXjwTeCm6fj42AQAQi+Gcz301iOd12g0culUiFkct65Hk3g7Kd24iIiIJSiJbYWcnJxwcnK67/7ExEQcHBwy7fq1a9fmlVdewdvbm7CwMAIDAxk2bBjLly//x+fatGkTrq6upm1PT88nGepjy507t6VDSGfSpEns2LGDESNGULJkSSIjI4mMjHzgMfHx8RQsWJCWLVsSEBCQRZGKiIiIiFiviV8NIa/v3fc1H29PK1hplTet+MTR2YFCJfJha2/7RM8rIiLZnJX3xDYYjVb+E/iPSk1N5YsvvmDFihWEhobi5eVF586d8ff3p0mTJsyePZslS5Zw9OhRChcuzIQJE6hSpQqQvp3I7Nmz2bp1Kz169GDu3LmEhIRw6tQpevbsSYkSJQBYu3YtdnZ2dO3alWHDhmEwGNLFFBMTQ926dZk9e7ZZpfeWLVsYMWIEu3btwtnZOd1x27ZtY/DgwRw7dgx7e3tTfFOmTCEwMJDQ0FBq1qzJ+++/T/78+YG7ldj79+/Hzc3tkX9uiYmJzJgxg/Xr1xMdHU2JEiUYPnw4tWrVMvvZzJgxg8mTJ3P16lWqVq1KQEAAefLkASA5OZkpU6awZs0abG1teeGFF7h+/TrR0dF88sknQPoK6caNG9OpUycuXbrEpk2byJUrFwMHDqRz586m2EJDQ5kyZQo7d+7ExsaGatWqMXbsWAoWLJjhYxk1ahTfffddup9lRvPPnTtH27ZtWbduHcWKFXvkn9e9GjduTK9evR6rEruZTcfHuqaIiIiIiCXYeXtZOgQBksPVxkREspctqSstdu1W+QZl2bV+uPpJll3rUdlYOgB5PB988AHz589n0KBBbNy4kenTp+PldfcPrRkzZtC3b1/WrFlDkSJFePPNN0lOTr7v+YKCgti8eTNz5sxhzZo1pvHvvvsOW1tbVq5cydixY1m0aBErV2b8gnV1daVRo0asX7/ebHzdunU0bdo0wwT2rVu3WLduHVWqVMHe3t40npCQwNy5c5k6dSrLli0jKiqK119/Pd3x7dq1o379+vTp04eDBw/e9/HdMXHiRA4fPsyMGTP4/vvvadmyJf369ePixYtm116wYAGBgYEsXbqU0NBQpk6dato/f/581q1bR0BAAF9//TUxMTFs3br1oddeuHAh5cuXZ82aNXTr1o3x48dz/vx5AJKSkujbty85cuTgq6++YtmyZbi4uNCvXz8SExMzPN/YsWOpUqUKnTp1YseOHezYscOU5P+77du3U7BgQX7++WcaN25M48aNGTt2LLdu3Xpo3CIiIiIiIiIiYmFGY9Z9ZUNKYv8HxcTEsHjxYt566y3at2+Pr68v1atXp2PHu9WuL730Eo0aNaJo0aIMHTqU4OBgLl26dN9zJiUlERgYSNmyZSldurRpPH/+/IwZM4ZixYrRtm1bevTowaJFi+57nrZt27J161bi4+NNsf7888/4+/ubzZs2bRqVK1emVq1ahIaGmiqY741n3LhxVKlShfLlyzNlyhQOHz7M0aNHAfD29mbChAnMmjWLWbNmkS9fPnr16sXx48fvG1tISAirV69m5syZVK9eHV9fX/r27Uu1atVYvXq12bUnTJhAhQoVKFeuHN27d2fPnj2m/UuXLmXAgAE0a9YMPz8/xo0b90jV4A0aNKB79+4ULlyY/v374+7uzt69ewHYuHEjqampTJo0iVKlSuHn50dAQAChoaHs27cvw/PlzJkTe3t7nJyc8Pb2xtvbG1vbjG8pvHz5MiEhIWzatInAwEACAgI4fvw4Q4cOfWjcIiIiIiIiIiIilqSe2P9B58+fJzExkdq1a993TqlSpUzf31no8MaNG/j5+WU4v0CBAnh4eKQbr1SpklnrkMqVK7Nw4UJSUlKYP38+n332mWnfhg0baNCgAfb29mzfvp02bdqwefNmXF1dqVu3rtl5+/btywsvvEBISAhz5sxh5MiRfPbZZ6Zr2dnZUaFCBdN8Pz8/3NzcOHfuHBUrVqRYsWJmbTGqVq3K5cuXWbRoEdOmTeP777/n3XffNe2fP38+MTExpKSk0LJlS7NYEhMTzXpYOzs74+vra9rOkycPERERAERHR3P9+nUqVqxo2m9ra0u5cuVIfcgqsfc+JwaDAS8vL9N5T506RVBQEFWrVjU75vbt2wQFBXHgwAH69+9vGp8wYQJt27bN8Dpt2rQhJCRt8ZVq1arx+eefYzQaSUxMZOrUqRQtWhRI65HdoUMHzp8/j5OTE23atDGd4+WXX+aVV1554OMREREREREREZEskpo9K6SzipLY/0GOjo4PnXNva447ieEHJVkzavXxMF26dKFVq1am7Tx58mBnZ0eLFi1Yt24dbdq0Yf369bRu3Ro7O/P/1Tw8PPDw8KBo0aL4+fnRsGFDfv/9d1Pf7sdRoUIFDh06BKT1b65UqZJpX968edm+fTu2trasWrUqXcWyi4uL6fu/x2owGHgSreMfdN64uDjKlSvH9OnT0x3n4eGBvb29WZuXBy1gOW/ePFPrmDsLeHp7e2NnZ2dKYAOmDzRCQ0OpVauW2flz5cr1zx6ciIiIiIiIiIhIJlES+z+oSJEiODk5sWfPHgoVKpSp17rTvuOOI0eOULhwYWxtbcmdO7dZBfMd/v7+vPTSS5w5c4Y9e/bw2muvPfAad5Lr9/Z+Tk5O5o8//jBVPJ8/f56oqKj7VpJDWjXznapzV1dXXF1dzfaXKVOGlJQUbty4QfXq1R8Y0/3kzJkTLy8vjh07Ro0aNQBISUnhxIkTZm1Y/qly5crxww8/4OnpmS7uOwoXLpxuzN7ePt2HEz4+PunmVa1aleTkZIKCgkxV5nf6gBcoUAA7O7sMzy8iIiIiIiIiIpZnND64A8DTTkns/yBHR0f69+/PtGnTsLe3p2rVqty4cYMzZ85Qp06dJ3qtkJAQAgIC6Ny5MydOnGDp0qWMHDnygcfUqFEDLy8vhg8fTsGCBc0qoo8cOcKxY8eoVq0abm5uBAUFMXPmTHx9fc2qsO3t7Xnvvfd4++23sbW15b333qNy5cqmpPaiRYsoWLAgJUqU4Pbt26xcuZI9e/awYMGC+8ZVtGhR/P39GTFiBKNGjaJMmTLcvHmT3bt3U6pUKRo1avRIP5MePXrw2Wef4evrS7FixVi6dCmRkZFmbVf+KX9/f7744gsGDhzIsGHDyJs3LyEhIWzZsoV+/fqRL1++DI/z8fHhyJEjXLlyBRcXF3Lnzo2NTfpW93Xr1qVcuXKMGTOGMWPGkJqaysSJE6lXr55ZdfbfJSYmcu7cOdP3YWFhnDx5EhcXFyW9RURERESySJfXWlKjaXmKlStEclIyHUu++dBj6rauTJsXn6F4RV/cPFwZ3HgS549fMe3PU8iDLw9MyvDYSf3ms2PdIZp2rs2bs17MOKZyI4i8Hv14D0hEROQfUhL7P2rQoEHY2toya9Ysrl27hre3N126dHni12nXrh0JCQl07NgRW1tbevXqRefOnR94jMFgoE2bNnz++ecMHjzYbJ+TkxM//vgjs2fPJi4uDm9vb5555hkGDRqEg4OD2bz+/fvz5ptvEhYWRvXq1Zk06e4fWElJSUydOpWwsDCcnZ0pWbIkCxcufGCfcICAgADmzp3LlClTuHbtGrlz56Zy5cqPnMAG6N+/P9evX2fkyJHY2trSqVMn6tevf99FFR+Fs7MzS5cuZfr06QwZMoTY2Fjy5s1LnTp17luZDWkLeI4aNYo2bdqQkJDAtm3bKFiwYLp5NjY2zJ07l/fff5/u3bvj4uJCgwYNHvqBxLVr12jXrp1pe8GCBSxYsICaNWuyZMmSx368IiIiIiJiburq19nyzW62frMn3T47ezt+W3eIkwcu0KJb3QyOTs/JxYHje8/x6/eHeO3DHun2Xw++Sbfy5u8HWvWsz/ODm3Fg23EAfl17kIPbT5jNeWNWLxwc7ZXAFhGRLGUwPolmv/JU6tmzJ6VLl2bs2LFZet3Vq1czefJkDhw4kKXXfVypqam0atWKVq1aPbR1irVqZtPR0iGIiIiIiDwyO2+vLL/mg5LYdzTtXJuX3+v4SJXYd9ypuP57JXZG5mwdw9ljQXz0+tIM9+fydGXJ7wF89PoStn+775FjeFzJ4dcz/RoiIv/EltSVFrt2S4/+WXatTTfmZ9m1HpUqsUX+oeDgYHbu3EmNGjVITEzkq6++Ijg4GH9/f0uHJiIiIiIi8liKV/TFr0IhPh61/L5zmnSsxe34RHasP5yFkYmIiCiJLfKP2djYsHr1aqZOnYrRaDS1MnnQopMiIiIiIiL36jysJZ2HtTBtOzg5ULpaUQYF3G3f+PIzEwkPvpkl8bToVpeg06GcPHD+AXPq8fPq/SQmJGVJTCIicg8rb6ahJLbcl6V6Hnfo0IEOHTpY5NqPIn/+/Cxffv/qBBERERERkYfZ8OWv/Lr2oGl7xNw+7Fx/mJ0bfjeNRVyNzJJYHJzsadShBss+3HjfOaWrF8W3VH6mDVmUJTGJiIjcS0lsERERERERkSwWcyuOmFtxpu3E+CRuXY8m9GJ4lsdS/39VcHR2YNvKvfed07J7Pc4du8zZo0FZGJmIiJikplo6AouysXQAIiIiIiIiImI5LbrVY+/mo0RGxGS438nFkWfaVmPz1zuzODIREZE0qsQWERERERERyWJOLo4453A0bU95+QsA3L3dTGOREdGkphrx9nEnZ+4c5PHxwMbWhmLlCgIQciGchLjbAMzb8S6LJq1h1w9HAHDN7UIeHw888+UCoGDxvADcvBbFzfAo0zXyF/GmfJ3ijOv28X1jbdCuGra2Nmz/dt+TeOgiIvI41BNbRERERERERLLS84Oa0uOt/z1wzovVx3Lt8g16jvCnWZc6pvGPt48FYET7Dzm26wwAhUrkw8XN2TSndouKvDnrRdP26Hn9AFg6bT1fTd9gGm/erS7XQ25x6OeT942jRbe67Nr4O7FR8f/gEYqIiDw5BqPRytP4IpLpmtl0tHQIIiIiIiKPzM7by9IhCJAcft3SIYiImNmSutJi127h+uLDJz0hm2O+zLJrPSr1xBYRERERERERERGRbEvtRERERERERERERESyMytvpqFKbBERERERERERERHJtpTEFhEREREREREREZFsS+1ERERERERERERERLKzVLUTERERERERERERERHJllSJLSIiIiIiIiIiIpKdGVMtHYFFqRJbRERERERERERERLItVWKLiIiIiIiIiIiIZGNG9cQWEREREREREREREcmeVIktIiIiIiIiIiIikp2pJ7aIiIiIiIiIiIiISPakJLaIiIiIiIiIiIhINmZMNWbZ1+P46quvaNy4MRUqVKBjx44cPXr0iT5+JbFFRERERERERERE5LFs3LiRgIAABg8ezHfffUfp0qXp27cvERERT+waSmKLiIiIiIiIiIiIZGfG1Kz7+ocWLlxIp06deP755ylevDgTJkzAycmJVatWPbGHryS2iIiIiIiIiIiIiPxjiYmJHD9+nLp165rGbGxsqFu3LocPH35i17F7YmcSERERERERERERkf+0xMREEhMTzcYcHBxwcHBIN/fmzZukpKTg6elpNu7p6cn58+efWExKYouIiIiIiIiIiIhkY1tSV2bZtWbPns2cOXPMxoYMGcKrr76aZTH8nZLYIiIiIiIiIiIiIgLAyy+/TJ8+fczGMqrCBnB3d8fW1jbdIo4RERF4eXk9sZiUxBYRsSI3+tV9+CTJdB6f77J0CCLZht9+J0uHIMC5GgmWDkEkW0kOv27pEEREzFxaWdHSIYgVuV/rkPvNLVeuHLt376Zp06YApKamsnv3bnr06PHEYlISW0REREREREREREQeS58+fRg5ciTly5enYsWKfPnll8THx9OhQ4cndg0lsUVERERERERERETksbRu3ZobN24wa9YswsPDKVOmDJ9//rnaiYiIiIiIiIiIiIhI9tCjR48n2j7k72wy7cwiIiIiIiIiIiIiIv+SktgiIiIiIiIiIiIikm0piS0iIiIiIiIiIiIi2ZaS2CIiIiIiIiIiIiKSbSmJLSIiIiIiIiIiIiLZlpLYIiIiIiIiIiIiIpJtKYktIiIiIiIiIiIiItmWktgiIiIiIiIiIiIikm0piS0iIiIiIiIiIiIi2ZaS2CIiIiIiIiIiIiKSbSmJLSIiIiIiIiIiIiLZlpLYIiIiIiIiIiIiIpJtKYktIiIiIiIiIiIiItmWktgiIiIiIiIiIiIikm0piS0iIiIiIiIiIiIi2ZadpQMQEZGnX52yhXm5bR2KFfAkMSmZQ2eCmbHyV0Ijou57jJuLIyO6PsszFYthNBrZdugs07/5mfjbSQAUzuvOmB5NKJrfA1dnR8JvxbJp3ynmr99DckoqAMXye/LKc3Uo45uHAl65mP7NzyzbdjhLHrOIZC8pian8ueAi0RdiiQuOx7NKbiq8WTLdvCs/hhH8YxgJ4bdx9HKkyHMFyNfA64Hn/vPLS0Sejib2Sjw5fJypEVD+vnPjriZwYMwfGGwMPPN5NdN4yPZrXP3tOrGX4wHIWTQHxToXxK2462M+YhEREZF/zsHGlolV2lDOPT9+Ob34+eoZBu1eYTanpldhljbsle7Yuus/5Prt2AzPW9TVkwlVWlPczYuc9k5cS4hmXdAfzDn5K8nGtPdvzQuU5uXS9SicwwM7GxsuxdxgwZk9rA06ZjqPp2MO3irfhHp5i+Fm78T+65d478hmLsXceII/BcmOlMQWEZFMVcDTjQ8Gt+WrLYd4+4sfcHV25I1ODZk+8H90f//r+x73fr9WeOXKweCPVmNna8O7Lzbn7R5NGfvFDwAkp6SyfvcJTgVdIzruNiULefN2z6bYGAx8vGYnAE4OdgSHR7L14J+82alRVjxcEcmuUo3Y2NtQsEVewvfdzHBK8JYwzn9zmVL9iuJWLAdR52I5/fkF7HLY4lXN/YGnz9/Im6izMaYkdIYhJKdyYs45cpXKSdSZGLN9t05Ek7euJ24lXLGxtyFoXShHppymZmAFHD0c/vnjFREREXkMtgYbElKTWHJ2H819Sj9wbvPNHxOTdNu0HXGfBDZAsjGFNUFHOXHrKlFJCZTOlZf3q7bBxmDgw+M/AXArMZ5PT+3gfHQEiakpPJu/BAHV2hJxO5YdYecB+KROJ5JTUxi0+xtikhLpU6IWi+p3p/WWT4lPSXoCPwHJrpTEFhGRTFWmcF5sbQx8snYnRmPa2JIfD/LhoLbY2dqYqqbvVSSfB/XKF6XHpK85eSkMgMDlPzHr1fbM+PZXrkfGEnw9kuDrkaZjrt6I5oeSp6hSwsc0duJSGCf+Ov7V9vUz8VGKSHZn62RLqb5FAIj8M4bk2OR0c67uiKBA4zzkreMJgHNeJ6LPxxK0LvSBSeySLxYG4EJU0gOT2BdWBuNSwAn3cm7pkthlh/iZbZceUJTf9t/g5h9RD60EFxEREXlS4lOSGH84rXCoqmch3Byc7js34nYs0fcksR/kcuwtLsfeMm2HxEWy7nJhqnv5msb2Xb9kdszis/to71uRap6+7Ag7TxFXD6p4FqT1j59yNjocgHcPb2RXmzf4X6FyrLz4+yM+SvkvUk9sERHJVCcvhZGaaqRt3XLYGAy4OjvQpnYZ9p0KyjCBDVDRLz9RsQmmBDbAvpNBpBqNVCiaL8NjCnrnom65Ihz880qmPA4RefqlJqViY2/+57GNgw1R52JJTc7436tHdfN4FNf23KBk7yKPND/ldirGZCN2rrb/6roiIiIimWVtkwHsaP0aC+t3p6pnwX90rG8Od57J68e+8Ev3nVPHuwhFc3qy/6/ktoNNWi3u7dS7xQhGIDE1mWqevhmdQp4iqsQWEZFMFRIRxeCZq5kyoA1jejTFztaGI+dCGDprzX2P8XRz4UZ0nNlYSqqRqNgEPHPlMBtfMLIzpX3z4Ghvx6pfj/Lp97sy42GIiBXwqJiL0J/D8a7ujmtRF6IvxBL6UzjGFCNJ0ck4uj9eW4+k6CROfnqesoOKYefyaEnpc8su4+DugHv5XI91TREREZHMEp4QwzuHNvDHzRAcbOzoWLQKSxr0ouNPCzhx6+oDj13eqDflcufH0daO5ecPMvPEz2b7Xe0c+a3NazjY2JJqNDL+8EZ2XbsAwPno6wTH3uLN8o0Zd2gD8cmJ9C5Rm/wuufB21joiTzslsUVEJFN5urnwds9mrN99ks37TuHi5MArbesQ+Mr/GDRj1b8+/+h5G3BxcqBkQW+GvfAMPZtXZ/HmA08gchGxNkU6+JAYmcTBd0+A0Yh9LnvyNfAiaF0oBhvDY5/31OcXyVvXk9xl3B5p/qXvQ7i2O4Iq75TB1kE3ToqIiEj2ciEmggsxEabtwzeu4JvDnT7Fa/HWgbUPPPa1vavJYedA6Vx5GVmhKX1L1uHzP3eb9scm3+a5rfPIYedAnTxFGV2xOZdjb7Hv+iWSjakM2bOSydX8OdD2LZJTU9l17Ty/XD2Dgcf/W03+G5TEFhGRTNWpUSVi4m8za9VvprF3vtjED4H9KV80H39cSP9JfURUHB45XczGbG0MuOVwIiLSfLGQsJtpfWUvhN7AxsbA2z2bsvTHg6TeacAtIvKIbB1sKPNyMUr1LUJiZDKO7vaEbLuGrbMN9jkf/8/mW8ejiDh4k8sbQgHS1gcwws899lGqX1HyN/I2zQ1aH0rQ96FUGlMKV1+X+5xRREREJHs5ejP4kVp6XI2PAuBc9HVsDTa8V7UNC/7cQypp79+MQFBs2iLcJyPD8Mvpxcul67FvR1pLkeO3rvLctvm42jlib2PLzcQ4Vj77En/cDMmcBybZhko7xCKuXLlCqVKlOHny5H3nrF69murVq2dhVNlH48aNWbRokaXDEHkinBzsMf4toXwnwWxjyPjT8qPnQnHL4URp3zymsRqlC2FjMHAsg6T3HTYGA3a2Ntj8i4pJEREbOxucPB0w2BgI230Dzyq5/1UldtUJZakeUN70VbRjQWydbageUB6v6ncXjLy0LpSL34VQcWQp3IrpllgRERH57yiTKx/hCTEPn3gPG4MBOxub+74vBDAYDDjYpG/HFpN8m5uJcRR29aC8e362hvz5j2OW/xZVYku21bp1axo2bGix67/yyiucOnWKiIgIcuXKRZ06dRg+fDh58+Z95HPs3buXXr16pRvfsWMH3t7eGRyRdW7evMnw4cM5ffo0t27dwtPTkyZNmvDGG2/g6pr2xvnatWtMnTqVP/74g0uXLtGzZ0/Gjh1r0bjlv2fHsQt0a1qV/m1qsWn/aXI4OTC4XT1Crkdy+vI1AMoVycvEl1ryyoffEn4rlotXb7Dzjwu806spk5duw87WlhFdG/Pj/tNc/6sSu1XN0iSnpHIm+DpJySmULZyXIe3r8+P+P00LRtrZ2lAsvycA9na25MntSsmC3sTdTuRKeKRlfiAiYjGxV+JJTU4lKSaZlIQUoi+m/XuSs0har/240HiizsXi5udKcmwylzdeJfZKHGUGljedI3z/Dc4vv0KtDyqaxuKuJpCSkEJiZBIpiamm8+Yo6IyNnQ05fJzN4og+H4vBYMC10N1K60vfh3Dh22DKDvHDyduB27cSAbB1ssXOSYs7ioiISNbxy+mFg40tuRycyWHnQJlcaXmQk5FhALxYvCZXYm9xJiocR1s7OhapQu08RXjpt69M5+jhV51mBUrz4m9LAfAvVJ7k1FT+jLpGYmoy5XMX4M3yz7LxygmSjWnv314uVY9jN0O4HHsTBxs7GuYrznO+FRh/eKPpvC19ynDjdhyh8ZGUdMvD2Eot2Bpymp3XzmfVj0csRElsybacnJxwcnK67/7ExEQcHB5vgaVHUbt2bV555RW8vb0JCwsjMDCQYcOGsXz58n98rk2bNpkSwwCenp5PMtTHYmNjQ5MmTXjttdfw8PAgKCiICRMmEBkZyQcffACk/Yzd3d0ZOHCgKsPlse0/fZmxX2zkxRbV6dWiOgmJyRw9H8qrs77jdlIKkFatXSSfB3a2dxM1b3/+AyO7NmbuGy9gNBrZdugM05b/bNqfnJrKiy2r45vXHQMQeiOaFT/9zldbD5nmeOd2Zdm4HqbtXn/FcOD0ZV7+4NtMf+wikr0cDTxNwvVE0/aBMccBePbrmgAYU+HyhqvEhSZgsDXgXjYn1caXxdnb0XRMclwKcaEJZuc9Pf8Ct05Gpztv7ZmVzI59kJCt1zAmGzn+0Vmz8SIdClD0hYL/4FGKiIiI/Dvz63WlYI7cpu21TQcAUHLVewDY29gyqmIz8jrnJD45idOR1+j921L2hl8yHePu4EKhHHfvOEsxptK/VF2KuHpgMBgIiYtk6bkDLDyzxzTH2dae8VVakc/ZjYSUZM5HX+et/WvYeOWEaY63kyujKzbD08mV8Pho1gQd45OTv2bWj0KyEYPx7/d4izxBqampfPHFF6xYsYLQ0FC8vLzo3Lkz/v7+NGnShNmzZ7NkyRKOHj1K4cKFmTBhAlWqVAHS2olMnjyZAwfSFmibPXs2W7dupUePHsydO5eQkBBOnTpFz549KVGiBABr167Fzs6Orl27MmzYMAwZ3JISExND3bp1mT17tlml95YtWxgxYgS7du3C2dk53XHbtm1j8ODBHDt2DHt7e1N8U6ZMITAwkNDQUGrWrMn7779P/vz5gbuV2Pv378fN7dEWc4K0diKdOnXi0qVLbNq0iVy5cjFw4EA6d+5832MiIyOZOHEiO3fuJC4ujnz58vHyyy/z/PPPP/J1Fy9ezBdffMEvv/ySbl/Pnj0pXbr0Y1ViN7Pp+I+Pkcxxo19dS4cggMfnuywdgki24bf//h9YS9Y5VyPh4ZNERETEYi6trPjwSZLp/nz+HUuHYLXUE1sy1QcffMD8+fMZNGgQGzduZPr06Xh5eZn2z5gxg759+7JmzRqKFCnCm2++SXJy8n3PFxQUxObNm5kzZw5r1qwxjX/33XfY2tqycuVKxo4dy6JFi1i5cmWG53B1daVRo0asX7/ebHzdunU0bdo0wwT2rVu3WLduHVWqVMHe3t40npCQwNy5c5k6dSrLli0jKiqK119/Pd3x7dq1o379+vTp04eDBw/e9/Hda+HChZQvX541a9bQrVs3xo8fz/nz9789ZubMmZw7d4758+ezceNGxo8fj7u7+33n/11YWBhbtmyhRo0aj3yMiIiIiIiIiIhIZlM7Eck0MTExLF68mHHjxtG+fXsAfH19qV69OleuXAHgpZdeolGjRgAMHTqUNm3acOnSJfz8/DI8Z1JSEoGBgXh4eJiN58+fnzFjxmAwGChWrBh//vknixYtolOnThmep23btrz11lvEx8fj7OxMTEwMP//8M3PmzDGbN23aNL766ivi4+OpXLkyn376abp4xo0bR6VKlQCYMmUKrVu35ujRo1SsWBFvb28mTJhA+fLlSUxMZOXKlfTq1YsVK1ZQrly5B/78GjRoQPfu3QHo378/ixYtYu/evRQrVizD+SEhIZQpU4YKFSoAULDgo916/MYbb7Bt2zYSEhJ49tlnmTRp0iMdJyIiIiIiIiIikhVUiS2Z5vz58yQmJlK7du37zilVqpTp+zsLHd64ceO+8wsUKJAugQ1QqVIls9YhlStX5tKlS6SkpPDpp59SpUoV01dISAgNGjTA3t6e7du3A7B582ZcXV2pW9e81ULfvn357rvvWLBgATY2NowcOZJ7O/DY2dmZksYAfn5+uLm5ce7cOQCKFStGly5dKF++PFWrViUgIIAqVaqY+kt///33ZrHdaZ3y95+NwWDAy8uLiIgIAPr162c6pk2bNgB07dqVjRs38txzzxEYGMihQ3f7Amc0/47Ro0ezevVqPvnkEy5fvkxAQMB9f/4iIiIiIiIiIiJZTZXYkmkcHR++kNG9rTnuJKFTU1PvOz+jVh8P06VLF1q1amXazpMnD3Z2drRo0YJ169bRpk0b1q9fT+vWrbGzM39JeHh44OHhQdGiRfHz86Nhw4b8/vvvpr7dj6NChQqmBHPjxo1NVdwAefPmNX3/91gMBoMpgT5p0iQSEhLM5jVs2JCffvqJX375hZ07d9K7d2+6d+/OyJEjM5x/h7e3N97e3vj5+ZErVy66d+/OoEGDyJMnz2M/RhERERERERERkSdFSWzJNEWKFMHJyYk9e/ZQqFChTL3W0aNHzbaPHDlC4cKFsbW1JXfu3OTOnTvdMf7+/rz00kucOXOGPXv28Nprrz3wGneS64mJiaax5ORk/vjjDypWTFtg4fz580RFRd23HQrAqVOnTFXnrq6uuLq6PspDNHNvsvteHh4etG/fnvbt27N8+XICAwMZOXLkfef/3Z0k+b2PUURERERERERExJKUxJZM4+joSP/+/Zk2bRr29vZUrVqVGzducObMGerUqfNErxUSEkJAQACdO3fmxIkTLF26lJEjRz7wmBo1auDl5cXw4cMpWLCgWUX0kSNHOHbsGNWqVcPNzY2goCBmzpyJr6+vWRW2vb097733Hm+//Ta2tra89957VK5c2ZTUXrRoEQULFqREiRLcvn2blStXsmfPHhYsWPBEHz+kLexYrlw5SpQoQWJiIj///PMDk+m//PIL169fp0KFCri4uHD27FkCAwOpWrWqWT/tkydPAhAbG8uNGzc4efIk9vb2FC9e/Ik/BrEu+T3d6NemFjVKF8LTLQfXI2PYuOcUX2zcS3LK/e/IcLCz5fWODWheoxQOdrbsPnGJKV9t50Z0nGnOwXnpF1gdPX8DP+7/EwCvXDl4/YUGlCmSl0LeuVm+/TAfrPjlyT9IEfnPubgmhIjDt4i5FIeNnYFnPq/20GOSE1I4v+wy1w/eJCk6Gac8jhRskQ+fpml3NcWH32bPsCMZHltuaHHy1L7bKi30l3Aub7xK/NUEbJ1tyVPLg5J9ijyRxyYiIiLypLxSqj6N8henTK58JKWmUH3dtIceM6VaWzoUqWQ29uvVs/TbucxsrFG+4gwu04BSufJwOyWZ/deDGLR7hWn/25VaUNWzECXdvDkXfZ3nts1/Mg9KsjUlsSVTDRo0CFtbW2bNmsW1a9fw9vamS5cuT/w67dq1IyEhgY4dO2Jra0uvXr3o3LnzA48xGAy0adOGzz//nMGDB5vtc3Jy4scff2T27NnExcXh7e3NM888w6BBg3BwcDCb179/f958803CwsKoXr262cKISUlJTJ06lbCwMJydnSlZsiQLFy58YJ/wx2Vvb8+HH35IcHAwTk5OVKtWjQ8//PC+8x0dHVm5ciUBAQEkJiaSP39+mjVrxoABA8zmtWvXzvT98ePHWb9+PT4+PqZ+4iIP89mbL7B+1wnW7T5hNl4knzs2BgOTl27l8rVI/Hw8ebtnU5wd7fjo29/ue743OzWkfsWijPpsA9HxtxnZ9VmmDfSnb+A3ZvPGL9zMruMXTdvRcbdN39vb2XIzJp4vNuylW9OqT+aBish/xuH3TpKvgRf5G3qn22dMTiVPLQ9ylXAl9OfwRzrf2SVB3DoRRZlBfjh5O3LzaCR/LryIo7s9XtXccfJ0oO4nlc2OCdkezuX1oXhUzmUaC9oQyuWNVynerRBuxV1JuZ1KQvhtRERERCxhSYOerL50hO8uHU23z8HGlk1XTvJ7xBVeKPLoLVd/vXqWUQe+N20npqaY7W9eoDTvV/sfH/6xnT3hF7E12FDSLX2701UXf6eShw+lcqkVqrVQElsylY2NDQMHDmTgwIHp9p0+fdps283NzWysQ4cOdOjQwbT96quv8uqrr2Z4HTs7O8aOHcuECRP+UXxvvfUWb731VrrxUqVKsXjx4kc6R/PmzWnevHmG+/r370///v3/UUxAhgnitWvXPvCYQYMGMWjQoEe+Ru3atVm+fPlD5/39eRJ5UnYfv8Tu45dM28HXI1mS9yAvNKx03yS2q7MDz9Uvz9jPf2D/6csATPjyR1ZN7E35ovn448JV09zo+NtERMVleJ7QiCimf/MzAG3rlXtCj0hEngZFX0i7Gyn0l0dLYANEnYkh3zNeuJd1A8C5SR6Ct10j6lwsXtXcMdgYcMztYHbM9f03yVPbAzsnWwCSYpK5sDKYCsNL4FH+bmLb1dfl3z4kERERkSdu1sm0O1nbF674j45LTE3h+u3YDPfZGgy8XakFgce28u3F303j56Kvm817/8hmADwcXZTEtiJKYouISLbh6uxIVGzCffeX8c2LvZ0te08GmcYuXr1JaEQUFf3ymyWxR3ZtzDu9mnElPJJVvx7l+53HMzV2EbFebiVcuX7oFvkbeePgbs+tE9HEX03Ao4JbhvOjz8cScymOkn0Km8Zu/hEJRiOJN5LYO/woKQkpuJXISfEehXDyfPhi2SIiIiL/BTW9CrO7zRtEJiWwJ/wCHx3/mVuJ8QCUy52ffC5upBqNrGnSHy/HHJyKDGPqsa2ciXr0AgN5OimJLSIiT1SfVjV4qVVN07ajgx0ViuVnRNdnTWMdxy/m6o1os+MKeueiS+PKfLTy1/ue2zOXC4lJycTEm99eHxEVh6dbDtP23LW72H/qMgmJSdQuW5hR3Rrj4mjP8u2//8tHJyL/RRfXhBC0NsS0nZKYStTZGM4suns3SM1pFXDyerxkccnehTn9+QV2Dfkdg60BDFC6X1Fyl8k4iR3yczguPk7kKpnTNBZ/7TbGVLi0NoTivXyxc7HjwoorHJl8mhpTy2NjZ/NYsYmIiIg8qldK1ePl0vVN2062dlT2KMi4yq1MY61/nEtofNRjnf+3sHP8GHKKK7G38HV1541yz/J5va50+mkhqRgplMMdgFfLNCDg6BaC427xUok6LG3Qi+abPyYy6f4FT/L0UxJb/vOWLFlikev+vd2JiKRZ9ctRthz407Q9qV8rth06y/ZDZ0xj4bdizI7xzp2DOcM6sPXAn3y3449/HcPnG/aavj99ORxnR3t6Nq+uJLaIlfJpmsds8cQTH5/Du6YH3jXcTWMO7g4ZHfpIrmwOI/JsLBXeLIGTtyO3Tkbz56KLOLjb41Ehl9nclMRUru2KoHD7AmbjxlQwphgp8WJhPCqmHVP2VT92DjzMzeNReFbK/djxiYiIiDyKZecPsvHK3bWMPqjZns3BJ/kx+JRp7FpCdEaHPpINV+7eHftn1DVOR4axreWr1PIuzO7wixgMBgA+Pb2DH0PSrjnq4Pf81noYLQuW5ZsLhx772vLfpyS2iIg8UVFxt4m6ZxHFhMRkbkbFcSU8MsP5Xrly8NmbHTlyLoT3l2594LkjIuNwsLfD1dnRrBrb082FiKiM+6oB/HHhKv3/Vxt7O1uSklPuO09Enk72rnbYu979s9fWwQYHNztc8jn963OnJKZy/psrlH+jBF5VcgNpfaxjLsVxecPVdEns8L03SLmdSr5nvMzGHXPbA+Di42wac3Czxz6nHbcjEv91nCIiIiIPE5mUYFbtnJCSRMTtWIJib2bK9S7H3uLG7Vh8XT3YHX6R8L8S5Gej7vbATkpN4XLsLQq45LrfacRK6L5EERGxGO/cOZg3vCMnL4UxYdGPGI0Pnn8yKIyk5BRqlilkGiuc1538nm4cPRd63+NKFvImMjZBCWwReeKMyUaMKUb+KhwyMdiAMYN/1EJ/DserWm4c3OzNxnOVcgUgLjTeNJYUk0xSdPJjtzkRERERyc7yOuckt4ML4Qlpd+r+cTOU2ynJFM3paZpjZ7DBxyUXIXG3LBSlZBeqxBYRkSfK2dEeF8e7yZkx8zcCadXSd9yMjsczlwvz3uxI6I1oPvr2V9xz3q0+jIiKA9KS3J++8QLjFmzi+MUwYuITWbvjD97o2JCo2ARi4hMZ0fVZjpwLMS3q+EzFYni6uXDsfCi3k5KpXbYwL7WqyZIfD5rFWbKgNwAujg6453SmZEFvklJSuBB6I3N+MCJiMckJKaQk3P0Qq+yrfgDcvnW3wtnBzR6DjYGE67dJikkmISIRY6qR6Itpd3k453PCzskWgL1vHqVYl4J41/DAzsWW3GVycu7ry9g42ODk5citk1Fc/e06xXv4msURdzWBW6eiqTiiZLoYXfI741UtN2cXB1GqXxFsnW05v/wKLgWcyV02Z7r5IiIiIk+ai609LnZ3W6y9vnc1AF6Od9cfunE7jlSM5Hd2I7eDMwWcc2FjMFAmV14ALsXcIC4lCYBNzQfywR/b2RJyGhdbe4aUbcDm4FNcT4jBN4c7b1VoyqWYG/wWdg6A2ORElp0/yNAyDQmNiyIkLpJ+JesA8MOVk6YYfHO4k8POAS8nVxxt7U3XPhsVTpIxNRN/QmJJSmKLiMgT1bN5NV72r/PAOf8b/QXVSxbEN687vnnd2RQ4wGx/tQEzALCztaVIPg+cHO4mxT9Y8QupRiOBr/jjYGfL7uMXmfL1dtP+5JQUOjaqxBudGmIALoff4sOVv/Ddb8fMrrFsXA/T92WL5KVVrTKEXI/Ef8yCx33oIpJNXV4fysXVIQ+cU3tmJZy9HbnwbTBXf717C+uBMWm9Gyu/XRr3smkLNcaFJpAcZ54UP7/8Cic+PkdyTFrldNFOBSnQNI/ZNUJ/DsfRwyFdi5E7ygz04+zSSxwN/BNsIHcZNyqNKqlFHUVERCRL9C1Zh1fLNnzgnGd/mEVwXCTDyjaiQ5FKpvG1TdPe0/X4ZTH7rqctnl0spxeu9ml3lKUYjZTKlZf2vpXI6eDEtfhodl47z0fHfyYp9e7fVYHHtpJiTGVajedwsrXnyI1gev26lKh72pxMqvY/ankXSXftO7HJ08lgzOg+RxGRJ6iZTUdLhyB/udGvrqVDEMDj812WDkEk2/Db/+/7Usu/d65GwsMniYiIiMVcWlnR0iEI8Ofz71g6BKulsg4RERERERERERERybaUxBYRERERERERERGRbEtJbBERERERERERERHJtpTEFhEREREREREREZFsS0lsEREREREREREREcm2lMQWERERERERERERkWxLSWwRERERERERERERybaUxBYRERERERERERGRbEtJbBERERERERERERHJtpTEFhEREREREREREZFsS0lsEREREREREREREcm2lMQWERERERERERERkWxLSWwRERERERERERERybaUxBYRERERERERERGRbEtJbBERERERERERERHJtpTEFhEREREREREREZFsS0lsEREREREREREREcm2lMQWERERERERERERkWxLSWwRERERERERERERybYMRqPRaOkgREREREREREREREQyokpsEREREREREREREcm2lMQWERERERERERERkWxLSWwRERERERERERERybaUxBYRERERERERERGRbEtJbBERERERERERERHJtpTEFhEREREREREREZFsS0lsEREREREREREREcm2lMQWERERERERERERkWxLSWwRERERERERERERybaUxBYRERERERERERGRbEtJbBGxSsnJyaxZs4br169bOhQREREREREREXkAg9FoNFo6CBERS6hUqRIbN27Ex8fH0qEIaR8s7N27l5CQEHx8fKhVqxa2traWDkuAyMhIfvrpJ9q1a2fpUEREROQvFy9eJDQ0lAIFClC4cGFLh2NVkpOTOXv2LOHh4QB4e3vj5+eHvb29hSMTEXl62Vk6ABERS6lYsSInT55UEttC3nvvPerXr8+zzz7L1atX6dOnD5cuXcLd3Z2bN2/i5+fH559/Tt68eS0dqtULDQ1l9OjRSmJngRs3brBq1Sp+//13050iXl5eVKlShQ4dOuDh4WHhCK3D0qVLOXr0KA0bNqRNmzasWbOGefPmkZqaSvPmzRk6dCh2dvozOrNdu3aN3bt3kzt3burUqYODg4NpX1xcHAsWLGDIkCEWjPDpd/ToUcqVK2f6UPmnn37iiy++4NKlS3h7e9OrVy/9bsgin332GRUrVqROnTpERkYybNgw9uzZA4DBYKBevXp8+OGHuLm5WTjSp1tqaiozZ87k66+/Jjo62mxfzpw56d69O0OHDsXGRje9Zzb9jrC8q1ev4uDgYPr79MCBAyxbtsz04Vr37t2pUqWKhaOUp4n+ZRURq9W1a1emTJnC0qVLOXz4MKdOnTL7ksy1adMm0wcIU6ZMIV++fOzYsYOdO3eya9cufHx8mDRpkoWjtA4xMTEP/ZLMd/ToUVq2bMmSJUvImTMn1atXp3r16uTMmZMlS5bQqlUrjh07Zukwn3qffPIJH374IQkJCQQEBDBv3jwCAgLw9/enffv2rFy5kk8++cTSYT71jh49Sps2bZg4cSJDhw7lf//7H2fOnDHtj4uL4+OPP7ZghNahc+fO3Lp1C4Dt27czaNAgfHx8eOWVVyhbtixjx45ly5Ytlg3SSnz99dfkypULgGnTphEZGcnq1as5cuQI3333HdHR0UydOtXCUT79pk+fzooVK3jzzTfZunUrv//+O7///jtbt25l+PDhrFixgg8++MDSYT719Dsie3j11Vc5cuQIAFu3bqVnz57ExcVRtWpVEhIS6NmzJz/99JOFo5SnidqJiIjVKl26dLoxg8GA0WjEYDBw8uRJC0RlPSpWrMiGDRsoVKgQDRs2ZPbs2VSsWNG0/88//6RXr16mKiPJPKVLl8ZgMNx3v14TWaNTp06ULl2aCRMmpHs+jEYj7777LqdPn+abb76xUITWoVmzZrz11ls0b96cU6dO0aFDB6ZMmULbtm0B2LJlC9OmTePHH3+0cKRPtz59+pAvXz4mTZpEXFwc06dP54cffmDhwoWULVuW69ev88wzz+jfpUxWunRpdu7ciaenJ926daNatWq8+eabpv2ffvopP/30k/5dygIVKlQwFQA0btyYqVOnUqNGDdP+P/74g1deeYUdO3ZYMMqnX7169ZgyZQrPPPNMhvt/++03Ro4cya5du7I4Muui3xHZQ5UqVfj+++8pVKgQnTp1omnTpgwYMMC0f+nSpaxatYrvvvvOglHK00T3QYqI1dq2bZulQ7BqRYoU4dixYxQqVIgcOXKkq/aNjY1Fn7NmjRw5cvDKK69QqVKlDPdfunSJcePGZXFU1ufUqVMEBARk+IGCwWDgxRdfpH379haIzLpcu3aN8uXLA2kJPBsbG8qUKWPaX7ZsWa5du2ap8KzG8ePHGTduHDY2Nri6ujJ+/HgKFChA7969+fzzzylQoIClQ7Q6Fy9eZMyYMWZjzZs354svvrBQRNalQIECnDlzBh8fHwwGQ7p1Q2xtbYmPj7dQdNYjNjaWPHny3He/t7e3nocsoN8R2YOtrS2xsbEAXLlyhQYNGpjtb9CgAdOnT7dEaPKUUhJbRKyWemFbVu/evZk6dSqenp4MGDCA999/n3feeYdixYpx4cIFJk2aRLNmzSwdplUoW7YsADVr1sxwv5ubmz5QyAJeXl4cO3YMPz+/DPcfO3YMLy+vLI7K+nh5eXH27FkKFCjAxYsXSUlJ4ezZs5QoUQKAs2fPqjd5Frl9+7bZ9oABA7C1taVv375MnjzZQlFZnzuL1zk5OZGamppuf3JysgWisj6dOnUiMDCQokWL0qNHDwIDAwkMDMTX15fLly8zefJk6tWrZ+kwn3o1a9YkMDCQadOmpftdcOPGDaZPn37fv6fkydLvCMurUaMGGzZsoHTp0pQpU4Z9+/aZ3e28d+9erW8kT5SS2CJi1YKCgvjyyy85d+4cAMWLF6dXr174+vpaOLKnX4cOHYiMjOTll1/GaDSSkpLCSy+9ZNrfuHFjRo8ebcEIrYe/vz8JCQn33e/l5aWFcbJA3759eeedd/jjjz+oU6eOKWF9/fp1du/ezcqVKxkxYoSFo3z6+fv7M3LkSJo0acLu3bvp168fgYGB3Lp1C4PBwKeffkqLFi0sHeZTr0SJEhw+fDhd66++ffuSmprKG2+8YaHIrE/v3r1NH2QeOnTIrPXXyZMnVfGYRfr27UtoaCht2rShUKFCBAcH06JFC2xtbUlJSaFs2bJ8+OGHlg7zqTdhwgQGDBjAM888Q8mSJfH09AQgIiKCP//8Ez8/Pz777DMLR/n00++I7GH48OF069aNa9euUa1aNWbMmGEqyLhw4QIbN25kwoQJlg5TniLqiS0iVuu3335j4MCBlClThqpVqwJpb85OnTrFp59+qmqWLBIVFcXOnTu5fPkyRqMRb29vqlatSpEiRSwdmkiW27hxI4sWLeL48eOkpKQAabdqlitXjt69e9O6dWsLR/j0S01NZd68efz+++9UqVKFAQMGsHHjRqZNm0Z8fDyNGzfmnXfewcXFxdKhPtVWrlzJvn37mDZtWob7582bx/Lly9m+fXsWR2ZdgoODzbZdXFxwd3c3ba9ZswaAdu3aZWFU1u3cuXP89NNP6f5uqlu37gPXt5AnJzU1ld9++40jR45w/fp1IO0D/8qVK1O/fn1sbGwsHOHTT78jso+goCA++ugjfv75Z+Li4gCws7OjfPny9OvXj6ZNm1o4QnmaKIktIlarXbt21K9fn+HDh5uNT58+nZ07d2oBChGxmKSkJG7evAmAu7s79vb2Fo5IJOsZjUZCQ0Px9PTE0dHR0uGIiIjIfRiNRiIiIkhNTdXfrpJp9BGhiFitc+fO8cILL6Qbf/755zl79qwFIhJ/f39CQ0MtHYZVOnfuHKtWrTK11jl37hzvvvsuo0ePZvfu3RaOzvrY29uTJ08e8uTJozcB2cD69etN1UWSdYxGI82bN9fvhWxmwIABWtw0m9BzYTkZ9Ye/Mx4SEpLF0QikVV9HRUVZOgyrZTAY8PLyMt0lIpIZlMQWEavl4eHByZMn042fPHnS1N9OstaVK1e0QJQF/Prrrzz33HMEBgbSvn17fv31V3r06EFQUBAhISH07dtXiewssnLlSkaOHMmqVauAtPYirVq1okmTJsyaNcvC0VmvcePGERERYekwrI6NjQ2FCxfm1q1blg5F7rF///50C6qJZei5yHoxMTEMGzaMypUrU7duXWbOnGlq/wVpizs2adLEghFar08//ZTIyEhLh2H1+vfvT1hYmKXDkKeUFnYUEavVsWNHxo0bx+XLl816Ys+fP5/evXtbNjiRLPTJJ5/Qt29fXn/9dTZs2MDw4cPp2rUrr7/+OgAffPAB8+fPp06dOhaO9Om2aNEiZs6cSf369ZkxYwbXrl1j0aJF9O7dm5SUFBYuXEjevHnp3LmzpUO1Oqoospw333yTwMBAxo8fT8mSJS0djohYuY8++ohTp04RGBhIdHQ0c+fO5cSJE8yePRsHBwdAvzMsRT/37EHPg2QmJbFFxGoNHjwYV1dXFixYYFrNPU+ePAwZMoRevXpZODrrVL16dfU9tYAzZ84wdepUAFq1asWIESNo0aKFab+/vz+rV6+2VHhW45tvvmHixIn4+/tz4sQJOnbsyPjx4+nYsSMAefPmZdmyZUpii1UZOXIk8fHxPPfcc9jb2+Pk5GS2f9++fRaKzHr5+PhgZ6e3kdmBnoust23bNqZMmUKtWrUAaNKkCS+//DIDBw5k7ty5AFpgU0Qkk+g3nohYLYPBQO/evenduzcxMTEAuLq6Wjgq6zZ//nxLh2C17rzhsrGxwcHBgZw5c5r25ciRg+joaEuFZjVCQkKoVq0aAGXLlsXGxobKlSub9tesWZPAwEALRWfd5s+fT968eS0dhlUaM2aMpUMQ0v59yp8/PwaDgfXr15vG7yy+WaBAAQtGZ130XFjWjRs3zH7GHh4eLFy4kH79+tG/f3/ef/99C0Zn3TZu3Kjf1dnAxIkT1ZpTMo2S2CJitXr16sWcOXNwc3MzS17HxMQwaNAgFi9ebMHorMfu3bs5ePAg4eHh2NjYUKhQIRo3bkyRIkUsHZrV8PHx4eLFi/j6+gJpFcH58+c37Q8NDcXb29tS4VkNJycn4uPjTdseHh64uLiYzVHP+KyTkJCA0WjE2dmZ6tWrExwczJYtWyhevDj169e3dHhWo3379pYOQUirNt2xY0e6xMStW7do0qRJhmuMSObQc2FZ+fPn5/z58xQqVMg05urqyhdffEHfvn0ZMmSIBaOzbrdv32bv3r0UKFCAwoULWzocqzJ69GjGjh2Lq6sr/v7+pvG4uDjee+89AgICLBidPE20sKOIWK19+/aRlJSUbvz27dscPHjQAhFZl4iICDp27MhLL73E3LlzWbFiBUeOHGHBggW0bt1aFadZqGvXrqSmppq2S5YsaXZ78q+//krt2rUtEZpVKVasGKdPnzZt//LLL/j4+Ji2z58/T8GCBS0RmlUaNGgQa9asASAqKopOnTqxcOFCBg0axNdff23Z4KxMSkoKmzdv5pNPPuGTTz5hy5YtZgupSeYzGo0ZtkiIi4tTG7AspufCsurXr29afPleOXLk4PPPP9dzkEU+++wz06LjkZGR9O7dm5YtW9KnTx9atmxJv379iIqKsnCU1mPNmjUZLjKbkJDA2rVrLRCRPK1UiS0iVufUqVOm78+ePUt4eLhpOzU1ld9++023omWB999/nzx58rB//34cHByYOnUqMTExrF69mt27d/Paa6+RN29eXnzxRUuH+tTr2rXrA/e/8cYbWRSJdRs+fHi6yut7hYSEqB92Fjp+/DijR48GYPPmzXh6erJmzRo2b97MrFmz6Natm4UjtA6XLl1iwIABhIWFUbRoUQDmzZtHvnz5mDdvnukOEskcd6rnDAYDH330Ec7OzqZ9KSkpHD16lNKlS1sqPKui5yJ7ePXVV7l27VqG++6stXPixIksjsr6fP311zzzzDMATJs2jcjISFavXo2fnx8XLlzg3XffZerUqUyaNMnCkT7dYmJiMBqNGI1GYmNjzT7ESUlJ4ddff8XDw8OCEcrTxmDU0qEiYmVKly5tqmDJ6J9AJycn3n77bV544YWsDs2qVKtWjeXLl1OiRAkgrYKoZs2a7NmzB1dXV9auXcvcuXPZtGmThSO1TuvXr6dx48YPTKqKZek5ylyVKlXihx9+oECBAgwbNowSJUowZMgQQkNDadmyJUeOHLF0iFahf//+GI1Gpk+fTu7cuQG4efMmb731FjY2NsybN8+yAT7levbsCcD+/fupXLky9vb2pn0ODg74+Pjw0ksvqQVYFtBzIXJXhQoV2LRpEz4+PjRu3JipU6dSo0YN0/4//viDV155hR07dlgwyqffve+rM2IwGHj11VcZOHBgFkYlTzNVYouI1dm2bRtGo5GmTZuycuVKs0+H7e3t8fT0xNbW1oIRWgcHBwezP3psbGxISUkx9fytWrUqwcHBlgrP6o0bN45KlSopQZqN6TnKXL6+vmzdupVmzZqxY8cOevfuDaS1QtIiwFln//79fPPNN6YENoC7uzvDhw9/6F0k8u8tWbIEMO93Kpah5yL72b17N4sWLeLcuXMA+Pn58eKLL1K3bl0LR/b0K1CgAGfOnMHHxweDwZDuvZutra3ZOiOSORYvXozRaOTFF19k9uzZ5MqVy7TP3t6eAgUK6A5neaLUE1tErI6Pjw8FCxbk1KlTVKhQAR8fH9NXnjx5lMDOItWqVWPWrFnExcWRlJTEhx9+SKFChUyJihs3bpj9ISRZSzdqZX96jjLX4MGDCQwMpHHjxlSsWJEqVaoAsHPnTsqUKWPh6KyHg4MDsbGx6cZjY2PNKlElcwUEBJiSpuvXrycuLs7CEVkvPRfZw1dffUW/fv3IkSMHvXr1olevXri6ujJgwAC++uorS4f31OvUqROBgYFcunSJHj16EBgYSFBQEACXL19m8uTJ1KtXz8JRPv1q1qxJrVq12LZtG02bNqVmzZqmrypVqiiBLU+cKrFFxGp99tlneHp6pmsb8u2333Ljxg0GDBhgocisw8iRI3nppZeoUaMGBoMBZ2dnZs6cadp/7tw52rdvb8EIRcSatWzZkmrVqhEeHm7WZ7ZOnTo0bdrUgpFZl0aNGjFu3DgmTZpExYoVAThy5Ajjx4+ncePGFo7OOukukOxDz4XlfPbZZ4wePZoePXqYjVetWpVPP/2U7t27Wygy69C3b19CQ0Np06YNhQoVIjg4mBYtWmBra0tKSgply5blww8/tHSYVuPehcj9/f2ZN28e+fPnt2BE8rRSEltErNY333zD9OnT042XKFGC119/XUnsTFaoUCG+//57Dh48SFJSEpUqVTJr7dKhQwcLRifz589X9YRYPW9vb7y9vc36j99JpErWePvttxk5ciSdO3fGzi7trUtKSgqNGzdmzJgxFo7OOukukOxDz4XlREdHmxYWvFe9evUyfH8hT97bb79N165d+emnn7h8+TJGoxFvb2+qVq1K3bp1H9irWTLPlStXTO0hRZ40JbFFxGqFh4fj7e2dbtzDw4Pw8HALRGR9nJ2dqV+/vqXDkL8kJCRgNBpxdnamevXqBAcHs2XLFooXL67nSayaqh0tx83Njblz53Lp0iWzvrOFCxe2cGQiYs0aN27Mli1b6Nevn9n4tm3baNSokWWCskJ+fn74+flZOgwRySJKYouI1cqfPz+HDh2iUKFCZuMHDx4kT548ForKuiQkJPDHH3+QO3duihcvbrbv9u3b/PDDD7Rr184ywVmhQYMG0axZM7p27UpUVBSdOnXCzs6OmzdvMmrUKLp162bpEEUsQtWOljNnzhz69u1L4cKFzRLXCQkJfP755wwZMsSC0Vkn3amTfei5yFqLFy82fe/n58enn37Kvn37qFy5MpDW6ujQoUP06dPHQhFatwEDBvD+++/rfZyFVa9eHUdHR0uHIU8pLewoIlarY8eOTJ48mVWrVhEcHExwcDDffvstAQEBdOrUydLhPfUuXLhA69at6dGjB/7+/vTo0YNr166Z9kdHRzN69GgLRmh9jh8/TvXq1QHYvHkznp6e/PTTT0ydOpUlS5ZYODr5Ox8fH1N7BZGn1ccff5zhwnXx8fF8/PHHFojIeiUnJ7Nr1y7Onj1LYmIiAGFhYRkuvCmZS8+FZSxatMj09e233+Lm5sbZs2f59ttv+fbbbzlz5gw5c+Zk1apVlg7VKu3fv5/bt29bOgyrN3/+fH2QIJlG73xExGr169ePW7duMWHCBJKSkgBwdHSkX79+vPzyyxaO7uk3ffp0SpQowbfffkt0dDSTJ0+ma9euLFmyhAIFClg6PKuUkJBAjhw5ANixYwfNmzfHxsaGypUrExISYuHorEdoaCgGg4F8+fIBcPToUdatW0fx4sXp3Lmzad769estFaLVUbWj5RiNxgz7mp46dYpcuXJZICLrFBwcTL9+/QgNDSUxMZF69erh6urK/PnzSUxMZOLEiZYO0WroubCc7du3WzoEkWzr4sWL7N27l4iICFJTU8326a4peVKUxBYRq2UwGHjrrbcYNGgQ586dw8nJiSJFiuDg4GDp0KzC4cOHWbhwIR4eHnh4ePDpp58yfvx4unfvzuLFi3F2drZ0iFbH19eXrVu30qxZM3bs2EHv3r0BiIiIwNXV1bLBWZE333yTTp060a5dO8LDw+nTpw8lSpRg3bp1hIeH641AFkpOTmbfvn0EBQVRunRpHBwcCAsLw9XV1fSBj2SOGjVqYDAYMBgMtGjRwiyRnZKSQlxcHF26dLFghNZl0qRJlC9fnrVr11KrVi3TeLNmzXjnnXcsGJn10XOR/Rw8eJAKFSroPYSF6Q41y1mxYgXjx4/H3d0dLy8vs9/ZBoNBf7vKE6NXuIhYvRw5clCxYkVLh2F1EhISzP7QNBgMTJgwgYkTJ9KjRw8++OADC0ZnnQYPHszw4cMJCAigdu3aVKlSBYCdO3dSpkwZC0dnPc6cOWP6N+mHH36gRIkSLF++nB07dvDuu+/qjUAWUbWjZY0ZMwaj0ciYMWN49dVXyZkzp2mfvb09Pj4+pn+jJPMdPHiQZcuWpUvS+fj4EBYWZqGorJOei+ynf//+rF27Nt06O5L5QkJCyJ8/PwaDwewONaPRSGhoqO7uzCJz587ltddeY8CAAZYORZ5ySmKLiFU7duwYP/zwA6GhoaaWInfMmTPHQlFZh2LFinHs2LF0K4qPGzcOgIEDB1oiLKvWsmVLqlWrRnh4OKVLlzaN16lTh6ZNm1owMuuSnJxsSk7s2rWLxo0bA2mvmfDwcEuGZlVU7WhZ7du3B6BgwYJUrVpV1XUWlpqamu72cICrV6/qroQspuci+9Hiv5bTpEkTduzYgaenp9n4rVu3aNKkCSdPnrRQZNYlMjKSVq1aWToMsQJa2FFErNaGDRvo2rUr58+fZ8uWLSQnJ3PmzBn27NljVvElmaNZs2Zs2LAhw33jxo2jTZs2elNgAd7e3pQtW5aNGzeaFlOrWLFiug8bJPMUL16c5cuXc+DAAXbt2kWDBg0AuHbtGrlz57ZscFbk4MGDDBw4UNWOFhYfH8/u3bvTjf/222/88ssvFojIOtWrV48vv/zSbCw2NpbZs2fTsGFDC0VlnfRciNx1v3UT4uLicHR0tEBE1qlly5bs2LHD0mGIFTAYlSEQESvl7+9Ply5d6N69O1WqVOH777+nYMGCjBs3Dm9vb4YOHWrpEEUspmrVqro11kL27t3LkCFDiImJoV27dgQEBADw4Ycfcv78ed0lkkVq1KjBsmXLKF68uOl3RKFChThw4ABDhw5l165dlg7RKvj7+zN8+PB0yblff/2V6dOn8/3331soMuty9epV+vbti9Fo5NKlS5QvX56LFy/i7u7OV199la4KUjKPnovsZ926dTRp0gQXFxdLh2I17vxttHjxYjp27Gi2lk5KSgpHjx7FxsaG5cuXWyrEp97ixYtN38fHx7Nw4UIaNWpEyZIl09091atXr6wOT55Sui9PRKzW5cuXTW+KHRwciIuLw2Aw0Lt3b1588UUlsS1g/fr1NG7cWG8CsgF9xm05tWrVYs+ePcTExJArVy7TeKdOnczepGkhqcx1p9rxvffeM42p2jHrXbp0KcM7QYoVK0ZQUJAFIrJO+fLlY+3atWzYsIHTp08TFxfHCy+8gL+/P05OTpYOz6rouch+/P39LR2C1Tlx4gSQ9vfqn3/+ib29vWmfg4MDpUuX5qWXXrJUeFZh0aJFZtsuLi7s27ePffv2mY0bDAYlseWJURJbRKyWm5sbsbGxAOTJk4czZ85QqlQpoqKiiI+Pt3B01mncuHFUqlRJSWyxera2tmYJbEjrDXwvLSSVuUaNGkXfvn1p3bo1iYmJDB8+3FTt+OGHH1o6PKuRM2dOLl++nO7//6CgILMPdSTz2dnZ8dxzz1k6DEHPRXYWFBTE22+/bValKk/ekiVLABg9ejRjx47F1dXVwhFZn+3bt1s6BLFCSmKLiNWqUaMGu3btolSpUrRs2ZJJkyaxZ88edu3aRZ06dSwdnlVS9W/2MX/+fPLmzWvpMOQB9HrJXKp2zB6aNGnC5MmT+fjjj/H19QXSqrOnTJliWvRUssbFixfZu3cvERER6RYWHDJkiIWisk56LrKvuLg49u/fb+kwrMadtiKgOzqzC90pKJlJSWwRsVrvvPMOt2/fBmDgwIHY29tz6NAhmjdvzsCBAy0cnYhlJCcns2/fPoKCgihdujQODg6EhYXh6upKjhw5LB2eSJZStaPlvfXWW/Tr149WrVqZPlgLCwujWrVqjBw50sLRWY8VK1Ywfvx43N3d8fLyMltIzWAwKHGahfRcWNbDKqy18K/l6I7O7EF3CkpmUhJbRKxKQEAAw4YNw8XFhTNnzlClShUAbGxsGDBggIWjE1X/WlZwcDD9+vUjNDSUxMRE6tWrh6urK/PnzycxMZGJEydaOkSRLKVqR8vLmTMny5cvZ+fOnZw6dQonJydKlSpFjRo1LB2aVZk7dy6vvfaa/lbKBvRcWNbkyZPx9vY268F8r6SkpCyOSO7QHWrZg54HyUxKYouIVVm6dCn9+/fHxcWFXr16sWPHDq3ibmEJCQkYjUacnZ2pXr06wcHBbNmyheLFi1O/fn1Lh2dVJk2aRPny5Vm7di21atUyjTdr1ox33nnHgpGJZD1VO2YfBoOB+vXr63eCBUVGRtKqVStLhyHoubC0AgUKMHz4cFq3bp3h/pMnT9KhQ4csjkpExDooiS0iVsXHx4clS5ZQr149jEYjhw8fTrd42h2q8soagwYNolmzZnTt2pWoqCg6deqEnZ0dN2/eZNSoUXTr1s3SIVqNgwcPsmzZsnQ97Hx8fHR7bDZ0b1JVnjxVO2Yfd3rMhoSEpKty7NWrl4Wisi4tW7Zkx44ddO3a1dKhWD09F5ZVvnx5jh8/ft8ktsFgUCWqheiOzuxh4sSJKhKTTKMktohYlREjRvDuu+/y2WefPbCSzmAwcPLkySyOzjodP36c0aNHA7B582Y8PT1Zs2YNmzdvZtasWUpiZ6HU1NR0LRMArl69qn7Y2ZDeJGcuVTtmDydOnGDAgAHEx8cTHx9Prly5uHnzJs7Oznh4eCiJnUUKFy7MzJkzOXLkCCVLlsTOzvxtpJ6HrKPnwrKGDh1KfHz8fff7+fmxbdu2LIxItJ5L9uLv72/pEOQppiS2iFiVpk2b0rRpU2JjY6lWrRqbNm3SJ8UWlpCQYPoDc8eOHTRv3hwbGxsqV65MSEiIhaOzLvXq1ePLL7/kvffeM43FxsYye/ZsGjZsaMHIJCOHDx+2dAhPNVU7Zg8BAQE8++yzTJgwgWrVqrFixQrs7Ox46623lKzLQt988w0uLi7s27ePffv2me0zGAx6LrKQngvLKl68+AP329vb4+Pjk0XRiNZzsayIiAiz99InT55k0aJFXLp0iTx58tC9e3ezFoUi/5aS2CJilXLkyMHixYspWLBgugoWyVq+vr5s3bqVZs2asWPHDnr37g2k/VHk6upq2eCszKhRo+jbty+tW7cmMTGR4cOHc/HiRdzd3fnwww8tHZ7VaNeuXYatQgwGAw4ODhQuXJj27dtTu3ZtC0RnPVTtmD2cPHmSCRMmYGNjg62tLYmJiRQqVIi33nqLkSNH0rx5c0uHaBW2b99u6RDkL3ousp958+bRpUsX3NzcLB2K1dF6LpZVv3590xpThw4dolevXlSpUoWqVaty6tQpXnrpJRYtWqQ2nfLEKHMjIlarZs2aBAUFsWrVKi5fvszYsWPx9PTkl19+oUCBApQoUcLSIVqFwYMHM3z4cAICAqhduzZVqlQBYOfOnZQpU8bC0VmXfPnysXbtWjZs2MDp06eJi4vjhRdewN/fHycnJ0uHZzWeeeYZli1bRsmSJalYsSIAx44d4/Tp07Rv355z587Rp08fZs+eTdOmTS0c7dNL1Y7Zg52dHTY2NgB4enoSEhKCn58frq6uXL161cLRiYjAp59+SqtWrZTEtgCt52JZ97a2mzNnDm3btmXy5MmmsUmTJjFnzhy+/PJLS4QnTyElsUXEau3bt4/+/ftTtWpV9u/fz+uvv46npyenT59m1apVzJo1y9IhWoWWLVtSrVo1wsPDKV26tGm8Tp06StBZgJ2dHc8995ylw7BqN2/epE+fPgwePNhs/JNPPiEkJIQFCxYwa9YsPvnkE71GMpGqHbOHsmXLcuzYMYoUKUKNGjWYNWsWN2/eZO3atfqwOZMFBAQwbNgwXFxcCAgIeODcO2tbSObQc5G9aY0Ky9F6LtnHn3/+ydChQ83GOnXqRM+ePS0UkTyNlMQWEav1wQcf8Nprr9GnTx9T9S9A7dq1Wbp0qQUjsz7e3t54e3uzfv16GjdujIuLi6kCVbLWxYsX2bt3LxEREeneFNxvIVR5sn744QdWr16dbrxNmzZ06NCB999/nzZt2rBw4UILRCeStV5//XViY2NN348YMYLx48dTpEgRs2ovefJOnDhBcnKy6fv7yaj9kTxZei5EMqb1XCwvNjYWR0dHHB0d01XEOzo6kpCQYKHI5GmkJLaIWK0///yT6dOnpxv38PDg5s2bFohIxo0bR6VKlXBxcbF0KFZpxYoVjB8/Hnd3d7y8vMzeDBsMBiWxs4ijoyOHDx+mcOHCZuOHDx/G0dERSKv6uvO9PDmqdswetm3bRoMGDf7P3n1HRXWubwO+BxCQYmEEBWPAhoh0D4pRj8YSGwgmlhhsEex+EhQLGDFKUElQo+KJJTlijMGCxwKaGDFZxIKgoKgRxBIBKYpYwQIMfH9wnJ/jYEki885h39darjWz93a4dTsyPPvdz4N69erB0dFRuV0ul+Pbb78VmExatmzZUuNj0jyeC+124MABNG3aVHQMSeI8F/H69esHoPqz6fnz52Fvb6/cd+nSJVhYWIiKRnUQi9hEJFmmpqYoKipCixYtVLZnZGTwg6ggvB1TrK+//hqffPIJJk6cKDqKpI0aNQoLFy7E+fPnlQW8c+fOITY2FpMmTQIAHD16lD3jawFXO2qH6dOn49ixYzAzM0P79u2VQ6OIiLTRkydPkJycDCsrK7UL0FS7OM9FrO+++07lubm5ucrz69evY/jw4ZqMRHWcrIoVAyKSqIiICKSnp2PVqlXo168fdu/ejVu3bmHu3Lnw8fHhqlMBXF1dsW/fPrULC6QZbm5u2Lt3L//+tcC+ffuwdetW/PHHHwCAli1bYtSoUfDy8gIAPH78GDKZjKuxqU7q2rUrwsLC0KtXL9jZ2eH48eMwMzMTHUvSpk2bVuPFG5lMBn19fVhbW8PT0xOtWrUSkE5aeC7EWr9+PZycnNClSxfcu3cPAQEBOHHiBIDqc9C1a1esWLGCQx6JiGoBi9hEJFllZWVYvHgxdu/eDYVCAT09PSgUCnh6emLZsmXQ1dUVHVFyTp06BScnJ7V+aqQZISEhcHR0xMiRI0VHkZzvvvsOI0aMgIGBAfLz82FpacnVviRZa9aswdq1a1/rPZCRkaGBRDRv3jwkJCSgQYMG6NChAwDg999/x4MHD9C1a1dkZmYiLy8P0dHR6Nixo+C0dRvPhVg9evTA119/DXt7e3z66af4/fffER4ejtatW+OPP/7AwoUL0aZNG4SHh4uOKhmc56I9zp07hytXrgAAWrdurdISjOhNYBGbiCSpqqoKBQUFyv7XWVlZKC0thb29PWxsbETHk5yKigqkpKQgJycHnp6eMDExwY0bN2BiYsLJ4hq0fv16bNq0CT179oStrS309FS7jo0ZM0ZQsrrP3t4eR44cgVwuZ/sELcHVjmJduXIFOTk5mDJlCpYuXQpTU9Maj+vTp4+Gk0lTZGQkSkpKEBoaCh0dHQBAZWUlwsPDYWxsjMDAQCxcuBCXLl1CTEyM4LR1G8+FWI6Ojvjpp5/QvHlz9OrVCxEREXB3d1fuP3/+PCZPnoyjR48KTCkdr5rnsnv3boHppKOwsBAzZ85EWlqa8i6E+/fvw9XVFStXrkSzZs0EJ6S6gj2xiUiSqqqq8N577yE+Ph42NjawtLQUHUmy8vLy4O/vj4KCApSVlaFr164wMTHBxo0blavlSTO2b98OIyMjpKSkICUlRWWfTCZjEbsWWVhY4ODBg+jRoweqqqpQWFiIJ0+e1HislZWVhtNJk6mp6UtXOx44cAAbN27kasda0rp1a7Ru3RrTp09H//79Ub9+fdGRJC02NhYxMTHKoikA6OjoYNSoUfjwww8xc+ZM+Pr6wtfXV2BKaeC5EMvKygqXLl1C8+bNIZPJ1O7c1NXVxaNHjwSlkx7Oc9EO8+fPR0VFBQ4cOKC8uH/16lWEhIRg/vz5HMpMbwyL2EQkSTo6OrC2tsbdu3dFR5G88PBwODg4YO/evejcubNye9++fbFgwQKByaTnl19+ER1BsqZMmYKwsDCEhYVBJpNh6NChasdUVVVBJpOxfYKGNGnSBJ6eni9c7bhy5UosXLgQkZGRXO1Yi6ZPn46KigocP36cd+sIpFAocPXqVbRs2VJl+9WrV5W37xsYGLANkgbwXIg1fPhwfPHFF8pZFV988QW++OILvP3228jNzcWSJUvQtWtX0TEl4969exgwYIDoGJJ38uRJbNu2TeXutFatWuHTTz/lBTV6o1jEJiLJmjVrFr744gt89tlnsLW1FR1HslJTUxETE6PWB7t58+a4ceOGoFREmjVixAgMGjQI+fn5GDx4MDZt2oTGjRuLjiVpXO2oHXi3jnbw9vbG/PnzkZubCwcHBwDVbRPWrVsHb29vANVFjDZt2oiMKQk8F2L5+fmhoKAAgwYNQosWLZCXl4d+/fpBV1cXCoUC9vb2WLFiheiYktG/f38cPXqU81wEs7S0REVFhdr2yspKWFhYCEhEdRWL2EQkWXPnzsWjR4/g7e2NevXqwdDQUGX/8+0UqHZUVlaqDWEBqnurcYVd7Vu6dCkCAgJgZGSEpUuXvvTY4OBgDaWSJhMTE9ja2mLp0qXo2LEjB5wKxtWO2oF362iH4OBgyOVyfPPNN7h16xaA6rsVxo0bhwkTJgAAunbtiu7du4uMKQk8F+J9+umnGDlyJH799Vfk5uaiqqoK5ubmcHNzwzvvvMPvCxpkbW2NVatWIT09nfNcBJo9ezbCwsIQGhqqHOZ47tw5hIeHY+7cuYLTUV3CIjYRSVZISIjoCITqH7Q2b96MsLAw5bbS0lKsWbMGPXr0EJhMGi5cuKBcOXHhwoUXHscfyDSndevWyMjIgLOzs8r29PR06OjocNK7hnC1o3bg3TraQVdXF1OmTMGUKVNQUlICoPrC27PYr18zeC60w9O+/SQW57loh+DgYDx69AjDhw9X9olXKBTQ1dVFSEiIys/dXChGf4esqqqqSnQIIiKSrsLCQvj5+aGqqgrZ2dlwcHDAtWvX0LhxY2zduhVyuVx0RCKNGjp0KPz9/dG/f3+V7T///DM2btyInTt3CkomLQqFAhs2bMDWrVtVVjuOGjUKEyZMgK6uLvLz86Gjo4NmzZoJTlt3ubu7IyYmBm3atIGrqyv27duHFi1a4NSpU5gxYwaOHz8uOiIRSdzEiRPx+eefs20CSdbu3btf+9ghQ4bUYhKq61jEJiICP3yKVlFRgf379+PixYt4+PAhOnToAC8vL7UWL0RS8Gyh7lm5ubkYPHgwTp8+LSiZdL1otSPVvk8++QSmpqYICwtTvjfMzMwwdepUWFlZvbINEr0Zt27dQkREBJKSknD79m08/yMkB85qDs+F9nnR920iInqz2E6EiAjVt4Q/efJEdAzJ0tPTU96eT+JMmzatxrYhMpkM+vr6sLa2hqenp8rkcXrz9PX1cevWLbUfhouKitR6PZJmsHgtzty5c+Hv74+BAweirKwMQUFByrt1ODxNc+bNm4eCggJMnTqVF/wF47kgqeM8F+3ztHXIU+np6SgrK4OLiwvq1asnMBnVNfxJiIiIhLt27RqSk5NRXFysNuRx+vTpglJJj6mpKRISEtCgQQN06NABAPD777/jwYMH6Nq1Kw4cOICNGzciOjoaHTt2FJy27uratStWrFiBf/3rXzA1NQUA3L9/HytXrsQ777wjOJ10cLWjdrC0tMTevXtx4MABZGZm4uHDhxg6dCjv1tGw1NRU/PDDD2jfvr3oKJLHc6F9mjdvzovMGsR5Ltrj5s2bCAgIQHp6Otzc3LB27VrMmTMHiYmJAKoHb27ZsoUX3OiNYTsRIiIAnp6e2LhxIywtLUVHkZwdO3bgs88+Q+PGjdGkSROVD5wymexP9VijvycyMhIlJSUIDQ2Fjo4OAKCyshLh4eEwNjZGYGAgFi5ciEuXLiEmJkZw2rrrxo0b8PX1xd27d5VFiszMTMjlcmzatIn/T2mIv78/CgoK4OvrW+MPX3369BGQSlrKy8sxYMAArF+/ngPUBBs4cCAiIyNhb28vOork8Vxoh/z8fFhaWqoVSquqqlBQUMDhmiQJc+bMQU5ODiZOnIi4uDgUFBRAV1cXK1asgEKhwKxZs9C+fXuEhoaKjkp1BIvYREQk1LvvvouRI0di4sSJoqNInoeHB2JiYtCyZUuV7X/88Qc+/PBDJCcn4+LFi/D19cWpU6cEpZSGhw8fIi4uDpmZmTA0NES7du0waNAg3pKpQa6urlztqAW6d++O6OhoFrEFO3r0KDZt2oRFixbhrbfeEh1H0ngutEP79u1x9OhRtQHkd+7cwTvvvMO7dUgSunXrhqioKLi4uODu3bvw8PDApk2b0KVLFwBAUlISFixYgISEBMFJqa7gPS9EJFmZmZk1bpfJZDAwMICVlRX09fU1nEp67t27hwEDBoiOQajuZ3f16lW1IvbVq1eVbV4MDAx4e6YGGBkZYcSIES89hgNpa5elpaVaCxHSPF9fX2zcuBGff/45b9cXKDAwEI8ePULfvn1haGiodkEtJSVFUDLp4bnQDlVVVTV+Hnr48CEMDAwEJJImznMR6/79+2jatCkAoFGjRqhfv77KXQjW1tYoKioSFY/qIH4SJCLJ8vHxUX7oqemDqJ6eHgYOHIjFixfzw2gt6t+/P44ePYqRI0eKjiJ53t7emD9/PnJzc+Hg4AAAOH/+PNatW6ccvHny5Em0adNGZEz6Lw6krV0hISFYvnw5VzsKdu7cOSQlJeHo0aNo164d6tevr7I/KipKUDJpCQkJER2B/ovnQqyngwRlMhm++uorlf+TFAoFzp49Czs7O1HxJIfzXMSSy+UoKipStrrz9fVFw4YNlfvv37+v9n2b6O9gEZuIJCsqKgqRkZHw8/ODk5MTAODs2bPYtGkTpk+fjoqKCixfvhxfffUV5s6dKzht3WVtbY1Vq1YhPT0dtra2aivtxowZIyiZ9AQHB0Mul+Obb77BrVu3AABNmjTBuHHjMGHCBADVQwe7d+8uMiaRRnC1o3Zo0KAB+vXrJzqG5A0ZMkR0BPovnguxng4SrKqqQlZWlsr3Bn19fdjZ2WH8+PGi4klOkyZN4Onp+cJ5LitXrsTChQsRGRnJeS61wM7ODqdPn1b+LB0UFKSyPzU1Fe3atRMRjeoo9sQmIskaOnQoAgIC1ApyR44cwapVqxAbG4uEhAQsW7aMfbxqUa9evV64TyaT4fDhwxpMQ0+VlJQAAExMTAQnoRdxdXXFvn370KJFC9FR6qRXDZVlIYmkJicnB7t27UJubi7mz58PuVyOxMREWFlZoW3btqLjSQrPhXjBwcGYP38+PycJxnku2u3s2bMwNDSEra2t6ChUR3AlNhFJVlZWVo2Tw62srJCVlQWg+uoy+3jVrl9++UV0BKoBfygjqWORWvts2LABH374IRo0aCA6iuSkpKRgwoQJcHNzw8mTJxEYGAi5XI6LFy9i165dWL16teiIksFzoR2ethUBgPj4ePTq1QtGRkYCE0kT57lohydPntTYfvPpCm2iN0VHdAAiIlFatWqFjRs3oqysTLmtvLwcGzduVA7/uHHjhtrUcaK66tatW5g9eza6desGe3t7tG/fXuUXkdTk5ORg5cqVmDlzJoqLiwEAiYmJuHTpkuBk0rRu3Trcu3dPdAxJWr58OT755BNs2rRJpX2Ch4cHzpw5Iy6YBPFcaJ/Q0FDl9wjSrKfzXKKjo3Hq1CmcOnUK0dHRmD9/Pue5aFCXLl0wb948HDt2THnxgKg2cCU2EUlWaGgopkyZgh49eih7dWVlZUGhUGD9+vUAgNzcXHz00UciY9ZJS5cuRUBAAIyMjFRWstQkODhYQ6lo3rx5KCgowNSpU2FhYSE6DpFQXO2ofdgFUZysrCxERkaqbTczM8OdO3cEJJIungvtw/+bxOE8F+0QERGBuLg4TJ06FaamphgwYAAGDx4MR0dH0dGojmERm4gky83NDYcPH0ZcXByuXbsGAOjfvz88PT2VrRR8fHzEBazDLly4gIqKCuXjF+Gtf5qVmpqKH374gauu/0dMnjxZZQI8vVlPVzt+/PHHcHV1VW738PDA999/LzAZkeaZmpqiqKhIrQd/RkYGmjZtKiiVNPFcEP0fXV1dTJkyBVOmTHnhPJea2kfSm9W3b1/07dsXJSUlOHjwIPbv348RI0agRYsW8PLywvTp00VHpDqCRWwikpQhQ4YgOjoaDRs2RFRUFPz8/DBy5EjRsSRny5YtNT4msSwtLbmaSIvdu3cPv/76q/Li2qRJk8QGquO42lH7HDhwgHeJCDJo0CBERkZi1apVkMlkqKysRGpqKiIiInjBX8N4LrTPxo0beQFBC3Cei3gmJib44IMP8MEHH+Dy5csICgrC2rVrWcSmN4Y9sYlIUq5cuYJHjx4BANauXYuHDx8KTkSkPUJCQrB8+XJcv35ddBSqQUFBAdvraNDT1Y7P42pHcSwtLaGrqys6hiQFBgaiVatW6NmzJx4+fIhBgwZh1KhRcHV1xZQpU0THkxSeC+1RUVGB48eP4/Lly8oZOzdu3EBpaangZNLBeS7a5cmTJzhw4ACmTp2KIUOG4N69e/Dz8xMdi+oQWRWXXBGRhIwYMQJGRkbo2LEjoqKiMH78+BdOEucVY82YNm1ajW1DZDIZ9PX1YW1tDU9PT+WwTao97u7uePToERQKBQwNDVUGRgHVPYKp9jy9DfZFMjMzMXr0aGRkZGgokbRFREQgPT0dq1atQr9+/bB7927cunULc+fOhY+PD79HaIi7u/srv0cMGTIEH3zwgYB00lNQUICsrCyUlpbC3t4eNjY2oiNJFs+FWHl5efD390dBQQHKyspw8OBBtGjRAp9//jnKysqwePFi0REl4ek58PX1rfFOnT59+ghIJT1HjhxBfHw8EhISoKenh379+sHLywvu7u6io1EdwyI2EUnK1atXsWbNGuTk5ODChQto06ZNjau6ZDIZdu/eLSCh9MybNw8JCQlo0KABOnToAAD4/fff8eDBA3Tt2hWZmZnIy8tDdHQ0OnbsKDht3faqf/NDhgzRUBJpsrOze2kf+KqqKshkMhaxNeRpEWL37t1QKBTQ09ODQqGAp6cnli1bxhXBGhIdHY2vv/4a//znP+Hk5AQAOHv2LI4cOYJx48bh+vXr2Lt3LxYsWIDhw4cLTisNqampcHR0hL6+vugoksdzIc7UqVNhbGyM8PBwdO7cGfv27UOLFi2QnJyMBQsW4OeffxYdURJcXV05z0ULODs7o2fPnvDy8kKPHj3UFsIQvSksYhORZNnZ2eHYsWOQy+Wio0haZGQkSkpKEBoaCh2d6i5XlZWVCA8Ph7GxMQIDA7Fw4UJcunQJMTExgtMS1Z6OHTti8uTJcHZ2rnF/dnY2QkNDWcTWMK52FOv//b//h3feeUdtfsW2bdtw7NgxrFmzBlu2bMGOHTsQFxcnKKW0uLm5Ye/evWqDBUnzeC7E6dy5M2JiYtCqVSu4uroqi9jXr1/HoEGDkJ6eLjqiJAwcOBCRkZGwt7cXHUXSSkpKlD3JCwsLYWFhofy5juhN4r8qIpKszMxMFrC1QGxsLMaOHavyQUdHRwejRo3C9u3bIZPJ4Ovri0uXLglMKR05OTlYuXIlZs6cieLiYgBAYmIi//414OkPYJ06darxl6OjIwdvCmBpaQkTExP06dOHBWwBjh49infeeUdte5cuXXD06FEAQI8ePZCbm6vpaJLF/4e0B8+FOJWVlaisrFTbXlhYCGNjYwGJpInzXLTDs0M1Bw4ciLy8PIFpqC5jEZuIJGv9+vWIjY1V2x4bG4sNGzYISCRNCoUCV69eVdt+9epV5Q8HBgYGL22zQG9GSkoKvLy8cPbsWfz888/KwacXL17EmjVrBKer+7y8vGBgYPDC/U2aNGEfZkEmTJiAGzduiI4hSQ0bNsSvv/6qtv3XX39Fw4YNAQAPHz5k0YiINKpr167YvHmzyrbS0lKsWbMGPXr0EJRKegIDA5GcnIy+ffvC1dVVbQEAaR4vrlFt0hMdgIhIlO3btyMyMlJte9u2bREYGIiJEycKSCU93t7emD9/PnJzc+Hg4AAAOH/+PNatWwdvb28AwMmTJ9GmTRuRMSVh+fLl+OSTT/Dxxx/D1dVVud3DwwPff/+9wGTS8Kp+vixii8MfyMSZOnUqPvvsM5w4cULZE/vcuXP47bff8NlnnwEAjh8/zuFRGrR48WLeyaYleC7EmTdvHvz8/DBw4ECUlZUhKCgI165dQ+PGjbFixQrR8SQjJCREdAQi0iAWsYlIsoqKimBubq623czMDEVFRQISSVNwcDDkcjm++eYb3Lp1C0B1sW7cuHGYMGECgOrVLt27dxcZUxKysrJqvLBjZmaGO3fuCEhERFI3fPhwtG7dGlu3bsWhQ4cAAC1btsSWLVvg5uYGABg/frzIiJLj5eUlOgL9F8+FOM2aNcPevXuxf/9+XLx4EQ8fPsTQoUPh5eUFQ0ND0fEkg0PHtc/kyZOVd0oRvWksYhORZFlaWiItLU1tGE5qaiosLCwEpZIeXV1dTJkyBVOmTEFJSQkA1b5qAGBlZSUimuSYmpqiqKhI7T2RkZGBpk2bCkolLVeuXMGZM2fg4uKC1q1b48qVK/juu+9QVlaGwYMHo0uXLqIjShJXO2rW0qVLERAQACMjI5w8eRKurq7o2LGj6FiSVFxcrPJvPyMjA9HR0cjOzoaFhQV8fX3RuXNngQmlg+dC++jp6SnvGiRxcnJysGvXLuTm5mL+/PmQy+VITEyElZUV2rZtKzqe5PBuZqpN7IlNRJI1bNgwLFmyBLt27UJeXh7y8vIQGxuLpUuXvvK2fqodJiYmagVs0pxBgwYhMjISRUVFkMlkqKysRGpqKiIiIuDj4yM6Xp3322+/wdvbG1988QWGDBmC3377DaNGjUJOTg7y8/Ph5+eHpKQk0TElycvLC0ZGRqJjSMb333+v7Mk/ZswY3Lt3T3Ai6erWrZtyyG9aWhqGDRuG/Px8uLm5oaSkBOPHj8fJkycFp5QGngvtc+3aNWzfvh3/+te/EBUVpfKLNIPzXLTHzp074enpCUdHRzg6OsLT0xM7d+4UHYvqGK7EJiLJ8vf3x927d7Fo0SKUl5cDqB4g6O/vj0mTJglOJx23bt1CREQEkpKScPv2bbXesxkZGYKSSU9gYCAWL16Mnj17QqFQYNCgQVAoFPD09MSUKVNEx6vz/vWvf8HPzw+BgYHYv38/goKCMHLkSAQGBgKo7lm+ceNGrsauZVztKF7z5s2xZcsWdO3aFVVVVTh9+vQLb01mL+za9ez35KioKAwePBhLlixRbgsPD0dUVJTagDt683gutMuOHTvw2WefoXHjxmjSpInKAHKZTMYZFhrCeS7aYdWqVYiOjsaoUaPg4uICADhz5gyWLFmC/Px8BAQEiA1IdYasipNqiEjiSktLceXKFRgaGsLGxgb6+vqiI0mKv78/CgoK4OvrW2Mblz59+ghIJW0FBQXIyspCaWkp7O3tYWNjIzqSJHTs2BH/+c9/YG1tjcrKSjg6OmLnzp2wt7cHUN2z/OOPP8axY8cEJ63b2rdvj6NHj0IulyMtLQ1jxoyBq6srHB0dkZmZieTkZERHR7N4WosSEhKwcOFCFBcXQyaTvXCwpkwm44XOWmZnZ4djx45BLpejW7duiIqKUhYoAODSpUsYPXo0Tpw4IS6kRPBcaJd3330XI0eOZOsEwVxdXbFv3z60aNFC5fH169cxYMAAnDt3TnRESfDw8MCnn34KT09Ple3x8fEICwtDcnKyoGRU13AlNhFJnrGxMXJyctCrVy8WsAVITU3FDz/8gPbt24uOQv9laWmJ/Px8dOnShe8JDXu6kktHRwf6+vowNTVV7jM2NsaDBw9ERZMMrnYUr0+fPujTpw9KS0vRsWNH/PTTT+xJLlBpaSkMDAxgYGCg9j3BwMAAjx8/FpRMengutMe9e/cwYMAA0TEkj/NctENFRQUcHBzUtnfo0AEKhUJAIqqr2BObiAhAaGioss8gaZalpeULV9mROBMmTMCNGzdEx5CU5s2b49q1a8rn27dvh6WlpfJ5QUEBzM3NBSSTrqysLLUZCcOHD8fFixcFJZIWY2NjfPfdd3jrrbdgampa4y+qff369YO7uzvy8vJw/vx5lX2XLl3iMGwN4rnQHv3798fRo0dFx5A8znPRDt7e3oiJiVHbvmPHDnh5eQlIRHUVV2ITEQEsogoUEhKC5cuXY9GiRXjrrbdEx6H/4ntC80aOHInKykrlc1tbW5X9v/32Gzw8PDQdS5K42lF7PHr0CElJSejevbvK9iNHjqCyshI9evQQlEwavvvuO5Xnz19Iu379OodhawjPhXaxtrbGqlWrkJ6eDltbW+jpqZZWxowZIyiZtHCei/aIjY3FsWPH4OzsDAA4e/Ys8vPz4ePjg6VLlyqPCw4OFhWR6gD2xCYigmo/NdIsd3d3PHr0CAqFAoaGhqhXr57K/pSUFEHJpI3vCZIqOzs7ZVuXqqoqLF68WKUwdPjwYURERODnn38WFVFSvLy8EBQUpFas/u233xAZGYl9+/YJSkZEUtarV68X7pPJZDh8+LAG0xDnuYg1evTo1zpOJpOpXZAj+jO4EpuICMDGjRvZN02QkJAQ0RGoBosXL2YPWi0QHx+PXr16wcjISHQUyeBqR+2SnZ2N1q1bq21v1aoVcnJyBCSStnPnzuHKlSsAgNatW8PR0VFwIuniuRDrl19+ER2BnsF5LmJt2bJFdASSCBaxiUjSKioqkJKSgpycHNjZ2UFfXx83btyAiYkJjI2NRceThCFDhoiOQDVg/zrtEBoaCmdnZxaxNahTp04v3T927FgNJSGgemhXbm6uWrupnJwc1K9fX1Aq6SksLMTMmTORlpaGBg0aAADu378PV1dXrFy5Es2aNROcUDp4LohqNmHCBOzdu5d3EWpYeXk5nJ2dsWfPHrVWeERvGovYRCRZeXl58Pf3R0FBAcrKytC1a1eYmJhg48aNKCsrw+LFi0VHlIycnBzs2rULubm5mD9/PuRyORITE2FlZYW2bduKjlfnFRcXq6y6zsjIQHR0NLKzs2FhYQFfX1907txZYELpYtc38bjaUazevXtjyZIlWLt2Ld5++20A1auzly1b9tLb+enNmj9/PioqKnDgwAG0atUKAHD16lWEhIRg/vz5+PbbbwUnlA6eC3GWLl2KgIAAGBkZqfT4rQn7/moePzOJUa9ePVhaWqrMdSGqLTqiAxARiRIeHg4HBwekpKTAwMBAub1v3744ceKEwGTSkpKSAi8vL5w9exY///wzHj58CAC4ePEi1qxZIzidNHTr1g3FxcUAgLS0NAwbNgz5+flwc3NDSUkJxo8fj5MnTwpOSaRZhYWF+OijjzBs2DAsWbIES5YswbBhwzBy5EgUFhaKjicZs2fPhpGREQYMGIBevXqhV69eGDhwIBo1aoS5c+eKjicZJ0+exGeffaYsmgLVLV0+/fRTnDp1SmAy6eG5EOfChQuoqKhQPn7Rr4yMDMFJiTRr8uTJWLFiBe7evSs6CtVxXIlNRJKVmpqKmJgYtb5pzZs3x40bNwSlkp7ly5fjk08+wccffwxXV1fldg8PD3z//fcCk0nHsytXoqKiMHjwYCxZskS5LTw8HFFRUdi8ebOIeJLGfv3icLWjdjA1NcW2bdtw7NgxZGZmwtDQEO3atYO7u7voaJJiaWmpLN49q7KyEhYWFgISSRfPhTjP9v1lD2Dtw3ku4mzduhXZ2dno3r07rKys1Nrg7d69W1AyqmtYxCYiyaqsrKzxtqfCwkL2w9agrKwsREZGqm03MzPDnTt3BCSStqysLMyYMUNl2/Dhw1976jj9fY8fP0ZVVRXq16+Pf/zjH8jLy8OhQ4fQpk0bdOvWTXQ8yTh58iS2bdtW42pHX19fgcmkRyaToVu3bmjTpg0sLCygo8ObSTVt9uzZCAsLQ2hoqLKlzrlz5xAeHs4V8RrGc0FUM85zEadPnz6iI5BEsIhNRJLVtWtXbN68GWFhYcptpaWlWLNmDXr06CEwmbSYmpqiqKhIbQhLRkYGV6BqUGlpKQwMDGBgYKB2d4KBgQEeP34sKJn0TJ06FX379sXIkSNx//59DB8+HHp6erhz5w7mzZuHjz76SHRESeBqR+0zcOBADu0SJDg4GI8ePcLw4cOhq6sLAFAoFNDV1UVISAhCQkKUx6akpIiKKQk8F9ph2rRpkMlkattlMhn09fVhbW0NT09PlQuh9OZwnot2mT59uugIJBEsYhORZM2bNw9+fn4YOHAgysrKEBQUhGvXrqFx48ZYsWKF6HiSMWjQIERGRmLVqlWQyWSorKxEamoqIiIi4OPjIzqeZPTr1w9AdWuR8+fPw97eXrnv0qVLLNpp0O+//64cCHXw4EHI5XLs2bMHBw8exOrVq1nE1hCudtQ+HNolzrOFURKL50I7mJqaIiEhAQ0aNECHDh0AVH//fvDgAbp27YoDBw5g48aNiI6ORseOHQWnrXu6deuGo0ePQi6XIy0tDWPGjIGrqyvc3NyQmZmJ8ePHIzo6mq2niOoYWRU/DRKRhFVUVGD//v24ePEiHj58iA4dOsDLywuGhoaio0lGWVkZFi9ejN27d0OhUEBPTw8KhQKenp5YtmyZcpUR1Z7nV2qZm5ujZcuWyuebN29GeXk5/P39NR1NkpydnfHjjz/CysoKAQEBaNu2LaZPn46CggL0798f6enpoiNKgru7Ox49eqRc4Qj832rH53s9crWjZri6umLfvn1ciU1EwkVGRqKkpAShoaHKFkeVlZUIDw+HsbExAgMDsXDhQly6dAkxMTGC09Y9dnZ2OHbsGORyOcaPH49mzZqpzXPJysriPJda1KlTJ/z0008wMzODu7t7jXcmPMXPSfSmcCU2EUmanp4evL29RceQNH19fXz++eeYNm0asrKyUFpaCnt7e9jY2IiOJhmdOnV66f6xY8dqKAkBwNtvv42EhAT07dsXR48exbhx4wBU3zprYmIiNpyEcLWj9pk8eTIaNmwoOoYkPXsxBwDS09NRVlYGFxcX1KtXT2Ay6eG50A6xsbGIiYlR6dGvo6ODUaNG4cMPP8TMmTPh6+vLGQoawHkuYgQHBys/l/IzE2kKi9hEJGnXrl1DcnIyiouL1YY8sreXZllaWiI/Px9dunRR68lMmnXu3DlcuXIFANC6dWtlKwXSjGnTpiEoKAhLly6Fh4cHXF1dAQDHjh1D+/btBaeTjiFDhoiOQM+ZNGmS6AiSc/PmTQQEBCA9PR1ubm5Yu3Yt5syZg8TERACAtbU1tmzZwpZTGsBzoV0UCgWuXr2qcucaAFy9elX5M4WBgcFLV6fS38N5LmI9+zmJn5lIU1jEJiLJ2rFjBz777DM0btwYTZo0UfmQKZPJWMQWYMKECRzaJVBhYSFmzpyJtLQ0NGjQAABw//59uLq6YuXKlWjWrJnghNLQv39/dOzYEUVFRbCzs1Nu79KlC6e/axBXO4r3/fff4+zZs+jRowcGDRqEPXv2YMOGDaisrMR7772HGTNmQE+PP87UpsjISFRVVSEqKgpxcXGYNGkSdHV1kZiYCIVCgVmzZmHdunUIDQ0VHbXO47nQLt7e3pg/fz5yc3Ph4OAAADh//jzWrVunvMvz5MmTaNOmjciYdRrnuWiXyspKZGdno7i4WG2GBXuT05vCT31EJFlff/01PvnkE0ycOFF0FPovjmkQa/78+aioqMCBAwfQqlUrANUrikJCQjB//nx8++23ghNKh7m5OczNzREfH49evXrByMgITk5OomNJAlc7aod//etf+Oabb9CtWzcsXboUeXl5+PbbbzFu3Djo6OggOjoaenp6areQ05t1/PhxREVFwcXFBW5ubvDw8MCmTZvQtGlTAMCMGTOwYMECwSmlgedCuwQHB0Mul+Obb77BrVu3AABNmjTBuHHjMGHCBABA165d0b17d5Ex66zvvvtO5bm5ubnK8+vXr2P48OGajCRpZ86cwaxZs5Cfn6/285xMJkNGRoagZFTXsIhNRJJ17949DBgwQHQMIq1x8uRJbNu2TVnABoBWrVrh008/ZU9HQUJDQ+Hs7Kw2SJBqD1c7aofdu3dj2bJleO+995CZmYn3338fy5Ytw+DBgwFU/9/05Zdfsohdy+7fv68skjZq1Aj169eHlZWVcr+1tTWKiopExZMUngvtoquriylTpmDKlCkoKSkBALW5Fc+eH3qzOM9FuyxcuBAODg7YsGEDzM3N2UaHag2L2EQkWf3798fRo0cxcuRI0VHovxYvXgy5XC46hmRZWlqioqJCbXtlZSVXnQrCuxM0j6sdtcPNmzeVt+jb2dlBR0dHpSe8vb09bt68KSqeZMjlchQVFcHS0hIA4OvrqzJc8/79+6hfv76oeJLCc6G9OHRZPM5zESs7OxurV6+GtbW16ChUx7GITUSSZW1tjVWrViE9PR22trZqfTXHjBkjKJl0eXl5iY4gabNnz0ZYWBhCQ0OVH/7PnTuH8PBwzJ07V3A6Is3gakft0KRJE1y+fBlWVla4du0aFAoFLl++jLZt2wIALl++DDMzM8Ep6z47OzucPn1a2c4oKChIZX9qairatWsnIprk8Fxol1u3biEiIgJJSUm4ffu22kVntk/QDM5z0Q5OTk7Izs5mEZtqnayKS3yISKJ69er1wn0ymQyHDx/WYBrpKS4uVll1nZGRgejoaGRnZ8PCwgK+vr7o3LmzwITS4+7ujkePHqkMtHv6+Pl2FikpKSIiSs6pU6fg5OQEfX190VEk491338WqVauUhaLIyEj4+/ujUaNGAIDMzEyMGzcOJ06cEJiy7vvqq6+wfft29O7dG0lJSRg4cCDi4+MxceJEyGQyrFu3Dv369UNwcLDoqJJ29uxZGBoawtbWVnQUyeO50Cx/f38UFBTA19e3xrvVOIhZM/z8/PDgwQMsW7ZMbZ6LsbEx57nUoszMTOXj3NxcfPXVV/Dz86txcdizg8qJ/g4WsYmISIj27dvj6NGjkMvlSEtLw5gxY+Dq6gpHR0dkZmYiOTkZ0dHRnGatQbt3737tY4cMGVKLSaiiogIpKSnIycmBp6cnTExMcOPGDZiYmMDY2Fh0vDptypQp8PDweGE/za1bt+Lnn3/G5s2bNZxMWiorK7FhwwacOXMGrq6umDhxIg4cOIAvv/wSjx49Qq9evbBgwQL2i9eQJ0+ewMDAQHQMAs+FtnB1dcUPP/yg0uaINM/JyQnbtm2Dvb29yvbz58/D19cX6enpgpLVfXZ2dpDJZC9sffd0Hwc70pvEdiJERCTEsx94oqKiMHjwYCxZskS5LTw8HFFRUSwUaRAL09ohLy9PucKrrKwMXbt2hYmJCTZu3IiysjIsXrxYdMQ67euvv37pfkdHR15c0wAdHR1MnjxZZdugQYMwaNAgQYmkrUuXLnjvvffg5eWFLl26QEdHR3QkyeK50A6WlpacW6EFOM9FHN61TCJwJTYRScrSpUsREBAAIyMjLF269KXH8hbl2mVnZ4djx45BLpejW7duykFqT126dAmjR4/mLfsa9GwbEQBIT09HWVkZXFxcUK9ePYHJpGXq1KkwNjZGeHg4OnfujH379qFFixZITk7GggUL8PPPP4uOKAlc7ah94uPj0atXL66+FuDQoUOIi4tDYmIiTE1NMWDAAAwePJjD0wTgudAOR48exaZNm7Bo0SK89dZbouNIVkJCAtavX682z+Xzzz/HhAkT2NZFQ9avXw+5XI6hQ4eqbI+NjcXt27cxceJEQcmoruFKbCKSlAsXLiiv1l+4cOGFx8lkMk1FkrTS0lIYGBjAwMBAreevgYEBHj9+LCiZtNy8eRMBAQFIT0+Hm5sb1q5dizlz5iAxMRFA9SC7LVu2cEWLhqSmpiImJkbtPdG8eXPcuHFDUCrp4WpH7RMaGgpnZ2cWsQXo27cv+vbti5KSEhw8eBD79+/HiBEj0KJFC3h5eWH69OmiI0oGz4V2CAwMxKNHj9C3b18YGhqqXezn7BDNCA4OxqNHjzB8+HC1eS4hISEICQlRHstzUnu2b9+OyMhIte1t27ZFYGAgi9j0xrCITUSSsmXLlhofkxj9+vUDUN1a5Pz58yr97C5dusSiqYZERkaiqqoKUVFRiIuLw6RJk6Crq4vExEQoFArMmjUL69atQ2hoqOioklBZWYnKykq17YWFheyHrUERERGIi4vD1KlTudpRS/AGUvFMTEzwwQcf4IMPPsDly5cRFBSEtWvXsnAqAM+FWM8WR0kcngftUFRUBHNzc7XtZmZmKCoqEpCI6ioWsYmISIjvvvtO5fnzH3yuX7+O4cOHazKSZB0/flzZzsXNzQ0eHh7YtGkTmjZtCgCYMWMGFixYIDildHTt2hWbN29GWFiYcltpaSnWrFmDHj16CEwmLVztSKTuyZMnOHz4MOLj43HkyBE0adIEfn5+omNJEs+FWJwjoh14HrSDpaUl0tLS0KJFC5XtqampXJREbxR7YhORZE2bNq3GtiEymQz6+vqwtraGp6cnWrVqJSAdkeY4OTnh4MGDsLS0BAC4urpiz549sLa2BgDk5+djwIABnPCuIYWFhfDz80NVVRWys7Ph4OCAa9euoXHjxti6dSvkcrnoiJL1dLXjxYsXkZGRITqO5Jw6dQpOTk5qrXao9h05cgTx8fFISEiAnp4e+vXrBy8vLw45FYDnQnvk5ORg165dyM3Nxfz58yGXy5GYmAgrKyu0bdtWdDxJ4DwX7bBx40Z88803mDNnDjw8PAAASUlJ+PLLLzF+/HhMmjRJcEKqK7gSm4gky9TUFAkJCWjQoAE6dOgAAPj999/x4MEDdO3aFQcOHMDGjRsRHR2Njh07Ck5b9507dw5XrlwBALRu3Zq37GuQXC5HUVGRsojt6+uLhg0bKvffv38f9evXFxVPcpo1a4a9e/di//79uHjxIh4+fIihQ4fCy8sLhoaGouNJDlc7ivX48WNUVVWhfv36+Mc//oG8vDwcOnQIbdq0Qbdu3UTHk4zp06ejZ8+eiIiIQI8ePVgcEojnQjukpKRgwoQJcHNzw8mTJxEYGAi5XI6LFy9i165dWL16teiIdRrnuWgXf39/3L17F4sWLUJ5eTmA6vlG/v7+LGDTG8WV2EQkWZGRkSgpKUFoaKhyYFdlZSXCw8NhbGyMwMBALFy4EJcuXUJMTIzgtHVXYWEhZs6cibS0NDRo0ABAddHU1dUVK1euRLNmzQQnrPumTJkCDw8PjB07tsb9W7duxc8//4zNmzdrOBmROFztqB3Gjx+Pvn37YuTIkbh//z4GDBgAPT093LlzB/PmzcNHH30kOqIklJSUwMTEBED1920LCwsOOxWE50I7jBgxAv3798fHH38MV1dX7Nu3Dy1atMDZs2cxffp0/Pbbb6Ij1mlz5sxBTk4OJk6ciLi4OBQUFEBXVxcrVqxQznNp374957loWGlpKa5cuQJDQ0PY2Njwzil641jEJiLJ8vDwQExMDFq2bKmy/Y8//sCHH36I5ORkXLx4Eb6+vjh16pSglHWfn58fHjx4gGXLlilbt1y9ehUhISEwNjbGt99+KzghnT17FoaGhrC1tRUdRTKuXbuG5ORkFBcXqw15ZC9mzXB2dkbPnj3h5eXF1Y4Cde7cGd9//z3atm2LnTt3YsuWLdizZw8OHjyI1atX48cffxQdUXLc3Nywd+9etd6npHk8F+I8W7h+9vH169cxYMAAnDt3TnTEOq1bt27KeS53795VznPp0qULgOpWFgsWLEBCQoLgpET0JrGdCBFJlkKhwNWrV9WK2FevXlUWjQwMDGrsm01vzsmTJ7Ft2zaV3uOtWrXCp59+Cl9fX4HJpOfJkycwMDBQ2+7k5CQgjXTt2LEDn332GRo3bowmTZqo/B8kk8lYxNaQY8eOcbWjFnj8+DGMjY0BAEePHsV7770HHR0duLi4ID8/X3A6aeIaKO3BcyGOqakpioqK1C4gZGRkKAdjU+25f/++8u+5UaNGqF+/PqysrJT7ra2tUVRUJCoeEdUSFrGJSLK8vb0xf/585ObmwsHBAQBw/vx5rFu3Dt7e3gCqC6xt2rQRGbPOs7S0REVFhdr2yspK9rHTsC5duuC9996Dl5cXunTpwoKdIF9//TU++eQTTJw4UXQUSXtawAaAgQMHcrWjIG+//TYSEhLQt29fHD16FOPGjQMAFBcXq5wjIiJNGjRoECIjI7Fq1SrIZDJUVlYiNTUVERER8PHxER2vzuM8FyJpYhGbiCQrODgYcrkc33zzDW7dugUAaNKkCcaNG4cJEyYAALp27Yru3buLjFnnzZ49G2FhYQgNDVUOczx37hzCw8Mxd+5cwemkJSIiAnFxcZg6dSpMTU0xYMAADB48mEM2NezevXsYMGCA6Bj0DK52FGfatGkICgrC0qVL4eHhAVdXVwDVK+Xbt28vOJ00TZ48WaVYROLwXIgTGBiIxYsXo2fPnlAoFBg0aBAUCgU8PT0xZcoU0fHqPDs7O5w+fVp5t2BQUJDK/tTUVLRr105ENCKqReyJTUSE6iE5ALiqSwB3d3c8evQICoUCurq6AKB8bGRkpHJsSkqKiIiSU1JSgoMHD2L//v04ceIEWrRoAS8vL7ax0JCQkBA4Ojpi5MiRoqPQfz3b75Q0r6ioCEVFRbCzs1PeIXL27FkYGxujdevWgtNJz9MfH9luTTyeC/EKCgqQlZWF0tJS2Nvbw8bGRnQkAue5ENVVLGITEZFQu3fvfu1jhwwZUotJqCaXL19GUFAQLl68iIyMDNFxJGH9+vXYtGkTevbsCVtbW+jpqd44N2bMGEHJpGv9+vUYOXIkGjRoIDqKpMXHx6NXr15qFzhJM3bu3InNmzfj2rVrAAAbGxuMHTsWw4YNExtMgngutEtqaiocHR2hr68vOorkvGieCxHVTSxiE5Fk3bp1CxEREUhKSsLt27fVbhdnwY6k6smTJzh8+DDi4+Nx5MgRNGnSBIMGDVK7VZNqR69evV64TyaT4fDhwxpMQwBXO2oLNzc39iYXZNWqVYiOjsaoUaPg4uICADhz5gy+//57jBs3DgEBAWIDSgjPhfbh/03iuLm5cZ4LkYSwiE1EkuXv74+CggL4+vrWOECwT58+AlJJz7NtRAAgPT0dZWVlcHFxQb169QQmk54jR44gPj4eCQkJ0NPTQ79+/eDl5QV3d3fR0YiE4GpH7cK2LuJ4eHjg008/haenp8r2+Ph4hIWFITk5WVAy6eG50D78v0mcQ4cOIS4uDomJiZznQiQBHOxIRJKVmpqKH374gYOhBLl58yYCAgKQnp4ONzc3rF27FnPmzEFiYiIAwNraGlu2bKnxAgPVjunTp6Nnz56IiIhAjx49eBGBJO1Fqx2XLFmC/Px8rnYkSamoqICDg4Pa9g4dOkChUAhIJF08F0T/p2/fvujbt6/KPJcRI0ZwngtRHcWV2EQkWQMHDkRkZCTs7e1FR5GkOXPmICcnBxMnTkRcXBwKCgqgq6uLFStWQKFQYNasWWjfvj1CQ0NFR5WMkpIS5XDTwsJCWFhY8LZMDVm6dCkCAgJgZGSEpUuXvvTY4OBgDaWSNq521D6nTp2Ck5MT+84KEBYWBj09PbX/fyIiIvD48WMsXLhQUDLp4bnQPnFxcejduzf79WsJznMhqru4EpuIJCskJATLly/HokWL8NZbb4mOIznHjx9HVFQUXFxc4ObmBg8PD2zatAlNmzYFAMyYMQMLFiwQnFJanhawgeqLPOzvqDkXLlxARUWF8vGLsCez5nC1o/aoqKhASkoKcnJyYGdnB319fdy4cQMmJiYwNjYWHU8yYmNjcezYMTg7OwMAzp49i/z8fPj4+KhcfOOFttrHc6FdvLy8REeQvJrmufj5+YmORURvGIvYRCRZgYGBePToEfr27QtDQ0O11gkpKSmCkknD/fv3lQXrRo0aoX79+rCyslLut7a2RlFRkah4kscbtTRry5YtNT4mcby9vRETE6NWBNqxYwcLFhqUl5ennGFRVlaGrl27wsTEBBs3bkRZWRkWL14sOqIkZGVlKe9cy8nJAVD9vbtRo0bIyspSHscLbbWP50Ks4uJiyOVy5fOMjAxER0cjOzsbFhYW8PX1RefOnQUmlJaa5rn8+9//5jwXojqKRWwikqyQkBDRESRNLpejqKgIlpaWAABfX180bNhQuf/+/fuoX7++qHhERFztqAXCw8Ph4OCAvXv3qhSG+vbty7t1NIgX17QHz4VY3bp1w9GjRyGXy5GWloYxY8bA1dUVbm5uyMzMxPjx4xEdHc0iqoZwnguRtLCITUSSNWTIENERJM3Ozg6nT5+Gk5MTACAoKEhlf2pqKtq1ayciGgGYPHmyykUF0pxp06bVuIJOJpNBX18f1tbW8PT0RKtWrQSkkw6udtQOqampiImJUeuD3bx5c9y4cUNQKmkpLy+Hs7Mz9uzZA1tbW9FxJI3nQrxn71SLiorC4MGDsWTJEuW28PBwREVFYfPmzSLiSc6xY8c4z4VIQljEJiJJy8nJwa5du5Cbm4v58+dDLpcjMTERVlZWaNu2reh4ddrXX3/90v2Ojo5cxSLQxIkTRUeQLFNTUyQkJKBBgwbo0KEDAOD333/HgwcP0LVrVxw4cAAbN25EdHQ0OnbsKDht3cXVjtqhsrISlZWVatsLCwvZD1tD6tWrB0tLyxrPA2kWz4V2ycrKwowZM1S2DR8+HKNHjxaUSHo4z4VIWniJiogkKyUlBV5eXjh79ix+/vlnPHz4EABw8eJFrFmzRnA66Xjy5EmN252cnLjKSICdO3fC09MTjo6OcHR0hKenJ3bu3Ck6lqQ0adIEnp6eSEhIwJo1a7BmzRokJCRg8ODBePvtt/Hjjz9iyJAhiIyMFB21ziovL4e9vb3KimsSo2vXrmorGktLS7FmzRr06NFDUCrpmTx5MlasWIG7d++KjiJ5PBfilZaWoqSkBAYGBmp3iRgYGODx48eCkkkb57kQ1X1ciU1EkrV8+XJ88skn+Pjjj+Hq6qrc7uHhge+//15gMmnp0qUL3nvvPXh5eaFLly68BVCgVatWITo6GqNGjYKLiwsA4MyZM1iyZAny8/MREBAgNqBExMbGIiYmRuW9oKOjg1GjRuHDDz/EzJkz4evrC19fX4Ep6zaudtQe8+bNg5+fHwYOHIiysjIEBQXh2rVraNy4MVasWCE6nmRs3boV2dnZ6N69O6ysrGBkZKSyf/fu3YKSSQ/PhXj9+vUDUF00PX/+vLL1FABcunQJFhYWoqIREdVpLGITkWRlZWXVuJLRzMwMd+7cEZBImiIiIhAXF4epU6fC1NQUAwYMwODBg+Ho6Cg6muTExMQgLCwMnp6eym29e/dGu3btEBYWxiK2higUCly9ehUtW7ZU2X716lVlUdXAwIC9mGvZ09WOX3zxBRo1aiQ6jmQ1a9YMe/fuxf79+3Hx4kU8fPgQQ4cOhZeXFwwNDUXHk4w+ffqIjkD/xXMh1nfffafy3NzcXOX59evXMXz4cE1Gov/iPBeiuo9FbCKSLFNTUxQVFan1TcvIyEDTpk0FpZKevn37om/fvigpKcHBgwexf/9+jBgxAi1atICXlxemT58uOqJkVFRUwMHBQW17hw4doFAoBCSSJm9vb8yfPx+5ubnK83H+/HmsW7cO3t7eAICTJ0+iTZs2ImPWeVztqD309PSU//ZJDH4v1h48F2J16tTppfvHjh2roST0PM5zIar7ZFVsHEREEhUREYH09HSsWrUK/fr1w+7du3Hr1i3MnTsXPj4+/CFBoMuXLyMoKAgXL15ERkaG6DiSERYWBj09PQQHB6tsj4iIwOPHj7Fw4UJByaRFoVBgw4YN2Lp1K27dugWguk/2qFGjMGHCBOjq6iI/Px86Ojpo1qyZ4LR1V1RU1Ev383uE5ly7dg3JyckoLi5Wa/HC80BEIp07dw5XrlwBALRu3Zp3Egqwc+dObN68GdeuXQMA2NjYYOzYsRg2bJjYYET0xrGITUSSVVZWhsWLF2P37t1QKBTQ09ODQqGAp6cnli1bBl1dXdERJeXJkyc4fPgw4uPjceTIETRp0gSDBg1CUFCQ6GiSERYWhj179sDS0hLOzs4AgLNnzyI/Px8+Pj7Q0/u/G7ieL3RT7SgpKQEAmJiYCE5CJMaOHTvw2WefoXHjxmjSpIlKGx2ZTMYV8bWoU6dO+Omnn2BmZgZ3d/eXtjBKSUnRYDLp4bnQPoWFhZg5cybS0tLQoEEDAMD9+/fh6uqKlStX8iKzhrxonsv333+PcePGsRUeUR3DIjYRSV5BQQGysrJQWloKe3t72NjYiI4kKUeOHEF8fDwSEhKgp6eHfv36wcvLC+7u7qKjSc7o0aNf6ziZTKbWE5KIqDa8++67GDlyJG8TF2D37t0YNGgQ9PX1X3mxYMiQIRpKJU08F9rHz88PDx48wLJly9CqVSsA1bMrQkJCYGxsjG+//VZwQmnw8PDAp59+qjLPBQDi4+MRFhaG5ORkQcmIqDawiE1EBCA1NRWOjo7Q19cXHUVynJ2d0bNnT3h5eaFHjx6oV6+e6EhEQt26dQsRERFISkrC7du38fxHNbbYqT1c7ah93NzcsHfvXrX5FUREIjk5OWHbtm2wt7dX2X7+/Hn4+voiPT1dUDJp+cc//oHY2Fi1RUh//PEHhg0bhlOnTokJRkS1goMdiYgATJgwgT8kC3Ls2DFlq4TCwkJYWFhAR0dHcCrpKS8vh7OzM/bs2QNbW1vRcSRt3rx5KCgowNSpU2FhYSE6jqQEBwcr/z8KCQkRnIYAoH///jh69ChGjhwpOorkVVZWIjs7G8XFxWoX13j3lGbxXIhnaWmJiooKte2VlZX83q1B3t7eiImJUWtzt2PHDnh5eQlKRUS1hUVsIiJA7QcA0pxne/0OHDiQFxMEqVevHiwtLdWGppHmpaam4ocffkD79u1FR5GcZ2/D5y352sHa2hqrVq1Ceno6bG1tVXrzA8CYMWMEJZOWM2fOYNasWcjPz1f7zCSTyXiHiAbxXGiH2bNnIywsDKGhocphjufOnUN4eDjmzp0rOJ20xMbG4tixYzXOc1m6dKnyOM5zIfrfx3YiREQAXF1dsW/fPhZPBeN5EGvnzp04dOgQvvjiCzRq1Eh0HMkaOHAgIiMj1W5RJs3jakfxevXq9cJ9MpkMhw8f1mAa6fL29oaNjQ1mzJgBc3NztVY7pqamgpJJD8+FdnB3d8ejR4+gUCiUw+CfPjYyMlI5lu2nag/nuRBJC4vYREQA4uLi0Lt3b7UPnaRZLGKL5ePjg+zsbFRUVMDKykrt/fCqYVL0Zhw9ehSbNm3CokWL8NZbb4mOI1lc7Uj0f1xcXLB3715YW1uLjiJ5PBfa4c98JuKdPUREbwbbiRARAeyZpiUmT56Mhg0bio4hWX369BEdgQAEBgbi0aNH6Nu3LwwNDdWGnXJFl2YsXLgQDg4O2LBhQ42rHYmkxMnJCdnZ2SycagGeC+3AwrR4nOdCJD0sYhOR5BQXF0MulyufZ2RkIDo6GtnZ2bCwsICvry86d+4sMKF0TZw4UXQESZs+fbroCAQOFNQW2dnZWL16NQtFAixduhQBAQEwMjJS6WdaE/Y4rT2ZmZnKx6NHj0ZERARu3bpVY29yOzs7TceTFJ4L7fNsGxEASE9PR1lZGVxcXNQuPlPt4DwXIulhOxEikpz27dvj6NGjkMvlSEtLw5gxY+Dq6gpHR0dkZmYiOTkZ0dHR7HeqQTt37sTmzZtx7do1AICNjQ3Gjh2LYcOGiQ1GRJI1ZswY+Pv745///KfoKJIzevRorF27Fg0aNHhpv1P2OK1ddnZ2kMlkLxx+/XQf2+vUPp4L7XHz5k0EBAQgPT0dbm5uWLt2LebMmYPExEQA1cNot2zZAgsLC8FJpYHzXIikhUVsIpIcOzs7HDt2DHK5HOPHj0ezZs2wZMkS5f7w8HBkZWVh8+bNAlNKx6pVqxAdHY1Ro0bBxcUFQHUv2u+//x7jxo1DQECA2IB1XKdOnfDTTz/BzMwM7u7uL22ZwDYWmpOTk4Ndu3YhNzcX8+fPh1wuR2JiIqysrNC2bVvR8eqsZ1c75ubm4quvvoKfnx9XO5Ik5eXlvfaxzZs3r8UkxHOhPebMmYOcnBxMnDgRcXFxKCgogK6uLlasWAGFQoFZs2ahffv2CA0NFR1VEjjPhUha2E6EiCQtKysLM2bMUNk2fPjw1550TX9fTEwMwsLC4OnpqdzWu3dvtGvXDmFhYSxi17Lg4GCYmJgAYBsLbZGSkoIJEybAzc0NJ0+eRGBgIORyOS5evIhdu3Zh9erVoiPWWT4+PmqrHZ99X3C1I0nJs8XQ9evXQy6XY+jQoSrHxMbG4vbt22wHVst4LrTH8ePHERUVBRcXF7i5ucHDwwObNm1C06ZNAQAzZszAggULBKeUDs5zIZIWFrGJSJJKS0thYGAAAwMD6Ovrq+wzMDDA48ePBSWTnoqKCjg4OKht79ChAxQKhYBE0vLsYCIOKdIOy5cvxyeffIKPP/4Yrq6uyu0eHh74/vvvBSar+w4fPiw6Aj1n2rRpNd4hIpPJoK+vD2tra3h6eqJVq1YC0knH9u3bERkZqba9bdu2CAwMZOFUg3guxLp//76yYN2oUSPUr18fVlZWyv3W1tYoKioSFU9yOM+FSFp0RAcgIhKhX79+cHd3R15eHs6fP6+y79KlS+xjp0He3t6IiYlR275jxw54eXkJSCRtlZWV+OOPP3Dq1CmcPHlS5RdpRlZWVo0ri8zMzHDnzh0BiaSjefPmyl/x8fFISkpS2da8eXMkJSVh//79oqNKhqmpKU6cOIELFy5AJpNBJpPhwoULOHHiBBQKBQ4cOABvb2+kpqaKjlqnFRUVwdzcXG27mZkZC3YaxnMhllwuV/l79vX1RcOGDZXP79+/j/r164uIRkRU53ElNhFJzvNDoJ7/QeD69esYPny4JiNJXmxsLI4dOwZnZ2cAwNmzZ5Gfnw8fHx8sXbpUeVxwcLCoiJJw5swZzJo1C/n5+WrDo9g+QXNMTU1RVFSEFi1aqGzPyMhQrv6i2sfVjtqhSZMm8PT0RGhoKHR0qtffVFZWIjw8HMbGxli5ciUWLlyIyMjIGi+I0pthaWmJtLQ0tf+XUlNTeeFfw3guxLKzs8Pp06fh5OQEAAgKClLZn5qainbt2omIJhmc50IkXSxiE5HkdOrU6aX7x44dq6EkBFSvOrW3twdQPcwOqL49s1GjRsjKylIe97IPqPRmLFy4EA4ODtiwYQPMzc35dy7IoEGDEBkZiVWrVkEmk6GyshKpqamIiIiAj4+P6HiSwdWO2iE2NhYxMTHKAjYA6OjoYNSoUfjwww8xc+ZM+Pr6wtfXV2DKum/YsGFYsmQJKioq4OHhAQBISkrCl19+ifHjxwtOJy08F2J9/fXXL93v6OgId3d3DaWRJs5zIZIuFrGJSPLOnTuHK1euAABat24NR0dHwYmkZcuWLaIj0H9lZ2dj9erVsLa2Fh1F0gIDA7F48WL07NkTCoUCgwYNgkKhgKenJ6ZMmSI6nmRwtaN2UCgUuHr1Klq2bKmy/erVq6isrARQPcuCF91ql7+/P+7evYtFixahvLwcQPXfu7+/PyZNmiQ4nbTwXGiHJ0+ewMDAQG370xXaVHs4z4VIuljEJiLJKiwsxMyZM5GWloYGDRoAqO5j5+rqipUrV6JZs2aCE9Z95eXlcHZ2xp49e2Brays6juQ5OTkhOzubRWzB9PX18fnnn2PatGnIyspCaWkp7O3tYWNjIzqapHC1o3bw9vbG/PnzkZubqxwCfP78eaxbtw7e3t4AgJMnT6JNmzYiY9Z5MpkMs2fPxtSpU3HlyhUYGhrCxsZGbTg21T6eC+3QpUsXvPfee/Dy8kKXLl1U7hYhzaqsrER2djaKi4vV2uFxVTxR3SKrev5dTkQkEX5+fnjw4AGWLVuGVq1aAahe2RUSEgJjY2N8++23ghNKQ+/evbF27VrY2dmJjiJJmZmZyse5ubn46quv4OfnB1tbW+jpqV7r5jnSvNTUVDg6OrI4IUBVVRUiIyOxZcsWtdWO06dPF5xOOhQKBTZs2ICtW7fi1q1bAKr7ZI8aNQoTJkyArq4u8vPzoaOjw4vPRKQxhw4dQlxcHBITE2FqaooBAwZg8ODBvKNTwzjPhUhaWMQmIslycnLCtm3blP2Ynzp//jx8fX2Rnp4uKJm07Ny5E4cOHcIXX3yBRo0aiY4jOXZ2dpDJZGof/J96uo8/CIjh5uaGvXv3qrW0IM0pLS3lakctUVJSAgDKXqhERKKVlJTg4MGD2L9/P06cOIEWLVrAy8uLFzs1xNvbGzY2NpgxY0aN81xMTU0FJSOi2sB2IkQkWZaWlqioqFDbXllZyX6nGrR161ZkZ2eje/fusLKygpGRkcr+3bt3C0omDYcPHxYdgV6Caw3EMzY2Zo9TLcHiNRFpGxMTE3zwwQf44IMPcPnyZQQFBWHt2rUsYmsI57kQSQuL2EQkWbNnz0ZYWBhCQ0OVt/6dO3cO4eHhmDt3ruB00tGnTx/RESStefPmysfr16+HXC7H0KFDVY6JjY3F7du3MXHiRE3HIyKJu3XrFiIiIpCUlITbt2+rXdjhHSJEJNKTJ09w+PBhxMfH48iRI2jSpAn8/PxEx5IMznMhkha2EyEiyXJ3d8ejR4+gUCigq6sLAMrHz68GTklJERGRSKN69eqFyMhIuLm5qWxPT09HYGAgfvnlF0HJpCsuLg69e/dW+z+JSCr8/f1RUFAAX1/fGu+S4oVQIhLhyJEjiI+PR0JCAvT09NCvXz94eXlxkKAGcJ4LkXSxiE1EkvVn2lQMGTKkFpMQaQdHR0ccOHBArf9ybm4uBg4ciHPnzglKRkRS5erqih9++AHt27cXHYWISMnZ2Rk9e/aEl5cXevTogXr16omOJBmc50IkXWwnQkSSxcK0OJ06dcJPP/0EMzMzuLu7qw1heRZXwWuOpaUl0tLS1IrYqamp7BOvAcXFxZDL5crnGRkZiI6ORnZ2NiwsLODr64vOnTsLTEikeZaWluwNT0Ra59ixY8o+/YWFhbCwsICOjo7gVNLAeS5E0sUiNhFJ1rNtRIDqlgllZWVwcXHhaopaFhwcrPzgHxISIjgNPTVs2DAsWbIEFRUV8PDwAAAkJSXhyy+/xPjx4wWnq/u6deuGo0ePQi6XIy0tDWPGjIGrqyvc3NyQmZmJ8ePHIzo6mrcqk6SEhIRg+fLlWLRoEd566y3RcYiIAKgOmh04cCD27t2rtgiAagfnuRBJF9uJEJHk3Lx5EwEBAUhPT4ebmxvWrl2LOXPmIDExEQBgbW2NLVu2cOUpSU5VVRUiIyOxZcsWlJeXAwAMDAzg7++P6dOnC05X99nZ2eHYsWOQy+UYP348mjVrhiVLlij3h4eHIysrC5s3bxaYkkiznp1fYWhoqHaRmXfrEJForq6u2LdvH4vYAnCeC5G0cCU2EUlOZGQkqqqqEBUVhbi4OEyaNAm6urpITEyEQqHArFmzsG7dOoSGhoqOKhmVlZXIzs5GcXGx2m3jXHWqOTKZDLNnz8bUqVNx5coVGBoawsbGBvr6+qKjSU5WVhZmzJihsm348OEYPXq0oEREYvBuHSIiepGioiKYm5urbTczM0NRUZGARERUm1jEJiLJOX78OKKiouDi4gI3Nzd4eHhg06ZNaNq0KQBgxowZWLBggeCU0nHmzBnMmjUL+fn5agVsDmQRw9jYGE5OTqJjSFJpaSkMDAxgYGCgdvHAwMAAjx8/FpSMSAzOryAibTd58mQ0bNhQdAxJ4jwXImlhEZuIJOf+/fvKgnWjRo1Qv359WFlZKfdbW1vzyr0GLVy4EA4ODtiwYQPMzc1fOuSRqK7r168fgOrWLufPn4e9vb1y36VLl/gDGUlSTk4Odu3ahdzcXMyfPx9yuRyJiYmwsrJC27ZtRccjIolj32VxOM+FSFpYxCYiyZHL5SgqKoKlpSUAwNfXV2X1xP3791G/fn1R8SQnOzsbq1evhrW1tegoREJ99913Ks+fvz32+vXrGD58uCYjEQmXkpKCCRMmwM3NDSdPnkRgYCDkcjkuXryIXbt2YfXq1aIjEpFE7dy5E5s3b8a1a9cAADY2Nhg7diyGDRsmNpiE+Pv74+7du1i0aJHaPJdJkyYJTkdEbxqL2EQkOXZ2djh9+rSyXUJQUJDK/tTUVLRr105ENElycnJCdnY2i9gkeZ06dXrp/rFjx2ooCZH2WL58OT755BN8/PHHcHV1VW738PDA999/LzAZEUnZqlWrEB0djVGjRsHFxQVAdYu8JUuWID8/HwEBAWIDSgTnuRBJi6zq+QakREQSd/bsWRgaGsLW1lZ0lDorMzNT+Tg3NxdfffUV/Pz8YGtrCz091eurdnZ2mo5HpBXOnTuHK1euAABat24NR0dHwYmINM/V1RX79u1DixYtVB5fv34dAwYMwLlz50RHJCIJ8vDwwKeffgpPT0+V7fHx8QgLC0NycrKgZEREdRdXYhORZD158gQGBgZq2znQrvb5+PhAJpOpDHIMCQlRPn66j4MdSYoKCwsxc+ZMpKWloUGDBgCq2xy5urpi5cqVaNasmeCERJpjamqKoqIitaFdGRkZyvkWRESaVlFRAQcHB7XtHTp0gEKhEJCIiKjuYxGbiCSrS5cueO+99+Dl5YUuXbpAR0dHdCTJOHz4sOgIRFpr/vz5qKiowIEDB9CqVSsAwNWrVxESEoL58+fj22+/FZyQSHMGDRqEyMhIrFq1CjKZDJWVlUhNTUVERAR8fHxExyMiifL29kZMTAyCg4NVtu/YsQNeXl6CUhER1W1sJ0JEknXo0CHExcUhMTERpqamGDBgAAYPHsxb9jVs/fr1kMvlGDp0qMr22NhY3L59mxPfSXKcnJywbds22Nvbq2w/f/48fH19kZ6eLigZkeaVlZVh8eLF2L17NxQKBfT09KBQKODp6Ylly5ZBV1dXdEQikqCwsDDs2bMHlpaWcHZ2BlDdkjA/Px8+Pj4q7fGeL3QTEdFfw5XYRCRZffv2Rd++fVFSUoKDBw9i//79GDFiBFq0aAEvLy9Mnz5ddERJ2L59OyIjI9W2t23bFoGBgSxik+RYWlqioqJCbXtlZSUsLCwEJCISR19fH59//jmmTZuGrKwslJaWwt7eHjY2NqKjEZGEZWVlKS825+TkAAAaNWqERo0aISsrS3mcTCYTko+IqC7iSmwiomdcvnwZQUFBuHjxInsxa4ijoyMOHDig1u80NzcXAwcO5NAukpyEhASsX78eoaGhyjtDzp07h88//xwTJkxAnz59BCckEiM1NRWOjo7Q19cXHYWIiIiINIxFbCKSvCdPnuDw4cOIj4/HkSNH0KRJEwwaNAhBQUGio0nCe++9h2nTpsHb21tl+549e7BmzRr2zybJcXd3x6NHj6BQKJStEp4+NjIyUjk2JSVFREQiIdzc3LB37161i55ERJpUXl4OZ2dn7NmzB7a2tqLjEBFJBtuJEJFkHTlyBPHx8UhISICenh769euHf//733B3dxcdTVKGDRuGJUuWoKKiAh4eHgCApKQkfPnllxg/frzgdESaFxISIjoCkVbi2hsi0gb16tWDpaUlKisrRUchIpIUrsQmIslydnZGz5494eXlhR49eqBevXqiI0lSVVUVIiMjsWXLFpSXlwMADAwM4O/vz77kRESk5Orqin379nElNhEJt3PnThw6dAhffPEFGjVqJDoOEZEksIhNRJJVUlICExMTAEBhYSEsLCygo6MjOJV0lZaW4sqVKzA0NISNjQ17npJkPdtGBADS09NRVlYGFxcXXmwjSYuLi0Pv3r3V2uoQEWmaj48PsrOzUVFRASsrK7X/l3bv3i0oGRFR3cUiNhER2GeTiMS7efMmAgICkJ6eDjc3N6xduxZz5sxBYmIiAMDa2hpbtmyBhYWF4KRERETSFhUV9dL9vJuQiOjNYxGbiAi8RZmIxJszZw5ycnIwceJExMXFoaCgALq6ulixYgUUCgVmzZqF9u3bIzQ0VHRUolpXXFwMuVyufJ6RkYHo6GhkZ2fDwsICvr6+6Ny5s8CERERERKRJvG+eiIiISAscP34c8+bNQ69evbBw4UKcOXMG06dPR9OmTWFlZYUZM2bgt99+Ex2TSCO6deuG4uJiAEBaWhqGDRuG/Px8uLm5oaSkBOPHj8fJkycFpyQiIiIiTdETHYCISBtMnjwZDRs2FB2DiCTs/v37aNq0KQCgUaNGqF+/PqysrJT7ra2tUVRUJCoekUY9e7NoVFQUBg8ejCVLlii3hYeHIyoqCps3bxYRj4gkqFOnTvjpp59gZmYGd3d3yGSyFx6bkpKiwWRERNLAIjYREYCJEyeKjkBEEieXy1FUVARLS0sAgK+vr8rFtfv376N+/fqi4hEJk5WVhRkzZqhsGz58OEaPHi0oERFJUXBwsHIofEhIiOA0RETSwyI2EUnazp07sXnzZly7dg0AYGNjg7Fjx2LYsGFigxGR5NjZ2eH06dNwcnICAAQFBansT01NRbt27UREIxKitLQUBgYGMDAwgL6+vso+AwMDPH78WFAyIpKiIUOG1PiYiIg0g0VsIpKsVatWITo6GqNGjYKLiwsA4MyZM1iyZAny8/MREBAgNiARScrXX3/90v2Ojo5wd3fXUBoi8fr16wegurXI+fPnYW9vr9x36dIlWFhYiIpGRITKykpkZ2ejuLhYpQUSAH6/JiKqBbKq5/+3JSKSCA8PD3z66afw9PRU2R4fH4+wsDAkJycLSkZEUvbkyRMYGBiIjkEk1PP9ZM3NzdGyZUvl882bN6O8vBz+/v6ajkZEhDNnzmDWrFnIz89XK2DLZDJkZGQISkZEVHdxJTYRSVZFRQUcHBzUtnfo0AEKhUJAIiIioEuXLnjvvffg5eWFLl26QEdHR3QkIo3r1KnTS/ePHTtWQ0mIiNQtXLgQDg4O2LBhA8zNzV865JGIiN4MrsQmIskKCwuDnp4egoODVbZHRETg8ePHWLhwoaBkRCRlhw4dQlxcHBITE2FqaooBAwZg8ODBcHR0FB2NSJhz587hypUrAIDWrVvz/UBEQrm4uGDv3r2wtrYWHYWISDJYxCYiyQoLC8OePXtgaWkJZ2dnAMDZs2eRn58PHx8f6On9380qzxe6iYhqW0lJCQ4ePIj9+/fjxIkTaNGiBby8vDB9+nTR0Yg0prCwEDNnzkRaWhoaNGgAALh//z5cXV2xcuVKNGvWTHBCIpKiMWPGwN/fH//85z9FRyEikgwWsYlIskaPHv1ax8lkMnz33Xe1nIaI6MUuX76MoKAgXLx4kX02SVL8/Pzw4MEDLFu2DK1atQIAXL16FSEhITA2Nsa3334rOCERSUVmZqbycW5uLr766iv4+fnB1tZWZfELANjZ2Wk6HhFRncciNhEREZEWevLkCQ4fPoz4+HgcOXIETZo0waBBgxAUFCQ6GpHGODk5Ydu2bbC3t1fZfv78efj6+iI9PV1QMiKSGjs7O8hkMrVBjk893cfBjkREtYODHYlIksrLy+Hs7Iw9e/bA1tZWdBwiIqUjR44gPj4eCQkJ0NPTQ79+/fDvf/8b7u7uoqMRaZylpSUqKirUtldWVsLCwkJAIiKSqsOHD4uOQEQkaSxiE5Ek1atXD5aWlqisrBQdhYhIxfTp09GzZ09ERESgR48eqFevnuhIRMLMnj0bYWFhCA0NVQ5zPHfuHMLDwzF37lzB6YhISpo3b658vH79esjlcgwdOlTlmNjYWNy+fRsTJ07UdDwiojqP7USISLJ27tyJQ4cO4YsvvkCjRo1ExyEiAlA90NHExARA9VA7CwsL6OjoCE5FJIa7uzsePXoEhUIBXV1dAFA+NjIyUjk2JSVFREQikqBevXohMjISbm5uKtvT09MRGBiIX375RVAyIqK6iyuxiUiytm7diuzsbHTv3h1WVlZqPwzv3r1bUDIikrKnBWwAGDhwIPbu3YsWLVoITEQkTkhIiOgIRERqioqKYG5urrbdzMwMRUVFAhIREdV9LGITkWT16dNHdAQiopfiDXMkdUOGDBEdgYhIjaWlJdLS0tQuMqemprJfPxFRLWERm4gka/r06aIjEBER0Us820YEqL5Vv6ysDC4uLuwXT0TCDBs2DEuWLEFFRQU8PDwAAElJSfjyyy8xfvx4wemIiOomFrGJiIiItNTkyZPRsGFD0TGINO7mzZsICAhAeno63NzcsHbtWsyZMweJiYkAAGtra2zZsoUrHolICH9/f9y9exeLFi1CeXk5AMDAwAD+/v6YNGmS4HRERHUTBzsSkaR06tQJP/30E8zMzODu7g6ZTPbCYzkgiohEe/ox7WX/VxHVRXPmzEFOTg4mTpyIuLg4FBQUQFdXFytWrIBCocCsWbPQvn17hIaGio5KRBJWWlqKK1euwNDQEDY2NtDX1xcdiYiozuJKbCKSlODgYOXQNA6LIiJttXPnTmzevBnXrl0DANjY2GDs2LEYNmyY2GBEGnL8+HFERUXBxcUFbm5u8PDwwKZNm9C0aVMAwIwZM7BgwQLBKYlI6oyNjeHk5CQ6BhGRJLCITUSS8uyAKA6LIiJttGrVKkRHR2PUqFFwcXEBAJw5cwZLlixBfn4+AgICxAYk0oD79+8rC9aNGjVC/fr1YWVlpdxvbW2NoqIiUfGIiIiISMNYxCYiSausrER2djaKi4vxfHcld3d3QamISMpiYmIQFhYGT09P5bbevXujXbt2CAsLYxGbJEEul6OoqAiWlpYAAF9fX5X+8Pfv30f9+vVFxSMiIiIiDWMRm4gk68yZM5g1axby8/PVCtgymQwZGRmCkhGRlFVUVMDBwUFte4cOHaBQKAQkItI8Ozs7nD59WnmbflBQkMr+1NRUtGvXTkQ0IiIiIhKAgx2JSLK8vb1hY2ODGTNmwNzcXG1wmqmpqaBkRCRlYWFh0NPTQ3BwsMr2iIgIPH78GAsXLhSUjEh7nD17FoaGhrC1tRUdhYiIiIg0gEVsIpIsFxcX7N27F9bW1qKjEBEphYWFYc+ePbC0tISzszOA6oJdfn4+fHx8oKf3fzfSPV/oJqprnjx5AgMDA9ExiIiIiEgwthMhIslycnJCdnY2i9hEpFWysrJgb28PAMjJyQFQPdiuUaNGyMrKUh73/N0jRHVRly5d8N5778HLywtdunSBjo6O6EhEREREJABXYhORpGRmZiof5+bm4quvvoKfnx9sbW1VVjcC1f04iYiISJxDhw4hLi4OiYmJMDU1xYABAzB48GA4OjqKjkZEREREGsQiNhFJip2dHWQymdogx6ee7uNgRyISoby8HM7OztizZw97/RI9o6SkBAcPHsT+/ftx4sQJtGjRAl5eXpg+fbroaERERESkASxiE5Gk5OXlvfaxzZs3r8UkREQ16927N9auXcu7QYhe4PLlywgKCsLFixd5wZmIiIhIIthUjogkpXnz5spf8fHxSEpKUtnWvHlzJCUlYf/+/aKjEpFETZ48GStWrMDdu3dFRyHSGk+ePMGBAwcwdepUDBkyBPfu3YOfn5/oWERERESkIVyJTUSS1atXL0RGRsLNzU1le3p6OgIDA/HLL78ISkZEUubj44Ps7GxUVFTAysoKRkZGKvt3794tKBmR5h05cgTx8fFISEiAnp4e+vXrBy8vL7i7u4uORkREREQapPfqQ4iI6qaioiKYm5urbTczM0NRUZGAREREQJ8+fURHINIa06dPR8+ePREREYEePXqgXr16oiMRERERkQAsYhORZFlaWiItLQ0tWrRQ2Z6amgoLCwtBqYhI6jiojuj/HDt2DCYmJgCAwsJCWFhYQEeHHRGJiIiIpIZFbCKSrGHDhmHJkiWoqKiAh4cHACApKQlffvklxo8fLzgdERERPS1gA8DAgQOxd+9etYvPRERERFT3sYhNRJLl7++Pu3fvYtGiRSgvLwcAGBgYwN/fH5MmTRKcjoikpFOnTvjpp59gZmYGd3d3yGSyFx6bkpKiwWRE2oOjfIiIiIiki0VsIpIsmUyG2bNnY+rUqbhy5QoMDQ1hY2MDfX190dGISGKCg4OVK05DQkIEpyEiIiIiItIusiouaSAiIiIiIi23fv16jBw5Eg0aNBAdhYiIiIg0jEVsIiIiIi1TWVmJ7OxsFBcXq7VQcHd3F5SKSKyn74WXtdshIiIiorqJ7USIiIiItMiZM2cwa9Ys5OfnqxWwZTIZMjIyBCUjEmPnzp3YvHkzrl27BgCwsbHB2LFjMWzYMLHBiIiIiEhjWMQmIiIi0iILFy6Eg4MDNmzYAHNzc646JUlbtWoVoqOjMWrUKLi4uACovtCzZMkS5OfnIyAgQGxAIiIiItIIthMhIiIi0iIuLi7Yu3cvrK2tRUchEs7DwwOffvopPD09VbbHx8cjLCwMycnJgpIRERERkSbpiA5ARERERP/HyckJ2dnZomMQaYWKigo4ODiobe/QoQMUCoWAREREREQkAtuJEBEREQmWmZmpfDx69GhERETg1q1bsLW1hZ6e6sc1Ozs7TccjEsbb2xsxMTEIDg5W2b5jxw54eXkJSkVEREREmsZ2IkRERESC2dnZQSaTqQ1yfOrpPg52JKkJCwvDnj17YGlpCWdnZwDA2bNnkZ+fDx8fH5WLPM8XuomIiIio7mARm4iIiEiwvLy81z62efPmtZiESLuMHj36tY6TyWT47rvvajkNEREREYnCIjYRERGRFlm/fj3kcjmGDh2qsj02Nha3b9/GxIkTBSUjIiIiIiISg4MdiYiIiLTI9u3b0apVK7Xtbdu2xbZt2wQkIhKjvLwc9vb2yMrKEh2FiIiIiARjEZuIiIhIixQVFcHc3Fxtu5mZGYqKigQkIhKjXr16sLS0RGVlpegoRERERCQYi9hEREREWsTS0hJpaWlq21NTU2FhYSEgEZE4kydPxooVK3D37l3RUYiIiIhIIL1XH0JEREREmjJs2DAsWbIEFRUV8PDwAAAkJSXhyy+/xPjx4wWnI9KsrVu3Ijs7G927d4eVlRWMjIxU9u/evVtQMiIiIiLSJBaxiYiIiLSIv78/7t69i0WLFqG8vBwAYGBgAH9/f0yaNElwOiLN6tOnj+gIRERERKQFZFVVVVWiQxARERGRqtLSUly5cgWGhoawsbGBvr6+6EhERERERERCsIhNRERERERERERERFqL7USIiIiIiEhrdOrUCT/99BPMzMzg7u4OmUz2wmNTUlI0mIyIiIiIRGERm4iIiIiItEZwcDBMTEwAACEhIYLTEBEREZE2YDsRIiIiIiIiIiIiItJaXIlNRERERERaq7KyEtnZ2SguLsbz62/c3d0FpSIiIiIiTWIRm4iIiIiItNKZM2cwa9Ys5OfnqxWwZTIZMjIyBCUjIiIiIk1iOxEiIiIiItJK3t7esLGxwYwZM2Bubq425NHU1FRQMiIiIiLSJBaxiYiIiIhIK7m4uGDv3r2wtrYWHYWIiIiIBNIRHYCIiIiIiKgmTk5OyM7OFh2DiIiIiARjT2wiIiIiItIamZmZysejR49GREQEbt26BVtbW+jpqf74Ymdnp+l4RERERCQA24kQEREREZHWsLOzg0wmUxvk+NTTfRzsSERERCQdLGITEREREZHWyMvLe+1jmzdvXotJiIiIiEhbsIhNRERERERaaf369ZDL5Rg6dKjK9tjYWNy+fRsTJ04UlIyIiIiINImDHYmIiIiISCtt374drVq1Utvetm1bbNu2TUAiIiIiIhKBRWwiIiIiItJKRUVFMDc3V9tuZmaGoqIiAYmIiIiISAQWsYmIiIiISCtZWloiLS1NbXtqaiosLCwEJCIiIiIiEfREByAiIiIiIqrJsGHDsGTJElRUVMDDwwMAkJSUhC+//BLjx48XnI6IiIiINIWDHYmIiIiISCtVVVUhMjISW7ZsQXl5OQDAwMAA/v7+mD59uuB0RERERKQpLGITEREREZFWKy0txZUrV2BoaAgbGxvo6+uLjkREREREGsQiNhERERERERERERFpLQ52JCIiIiIiIiIiIiKtxSI2EREREREREREREWktFrGJiIiIiIiIiIiISGuxiE1EREREREREREREWotFbCIiIiIi0rjr16+jXbt28PPzEx2FiIiIiLQci9hEREREREREREREpLVYxCYiIiIiIiIiIiIiraUnOgAREREREdHL5OXlYe3atThy5Aju3LkDMzMzdOvWDdOnT4eVlZXKsTdv3sSGDRvw22+/obCwEPr6+jA3N4e7uztmz54NU1NT5bFlZWXYunUr9u3bhz/++AMymQzt27eHn58fevfurek/JhERERG9AIvYRERERESktf744w989NFHuH37Nt599120bdsWly5dwq5du/Drr7/ihx9+QMuWLQEAjx49wsiRI5GXl4euXbuiT58+KC8vx/Xr17Fv3z74+fkpi9hlZWXw8/NDSkoK2rdvj6FDh6K8vByJiYmYOnUqFixYgFGjRon8oxMRERHRf7GITUREREREWmvhwoW4ffs2Fi9ejBEjRii3b926FYsXL8Znn32GzZs3AwCSkpJw/fp1jB07FiEhISqvU1painr16imfr127FikpKZg6dSpmzJgBmUwGACgpKcHYsWOxbNky9O3bF02bNtXAn5KIiIiIXoY9sYmIiIiISCvl5+cjOTkZbdq0wfDhw1X2jRw5Eq1atcKJEydQUFCgss/Q0FDttYyNjaGvrw8AqKysRExMDN5++22VAjYAmJiYYNq0aSgvL8ehQ4dq4U9FRERERH8WV2ITEREREZFWysjIAAC4u7urFJoBQEdHB+7u7rh69SoyMjJgaWkJd3d3mJubY8OGDcjMzETPnj3RqVMntG7dWuX3//HHH7h37x4sLCwQFRWl9nVv374NALh69Wot/umIiIiI6HWxiE1ERERERFqppKQEANCkSZMa95ubm6scZ2pqih07dmD16tX49ddfkZiYCACwtLTEhAkT4OvrCwC4e/cuAODSpUu4dOnSC7/+o0eP3sifg4iIiIj+HhaxiYiIiIhIK5mYmAAAbt26VeP+oqIileMAwMrKCsuWLUNlZSUuXryIo0ePYsuWLVi8eDEaNmwIT09P5fH9+vXD6tWra/lPQURERER/F3tiExERERGRVmrfvj0A4NSpU6iqqlLZV1VVhVOnTqkc9ywdHR20b98eEyZMwIoVKwAAv/zyCwCgdevWMDExwfnz51FeXl6bfwQiIiIiegNYxCYiIiIiIq1kZWWFzp0749KlS4iNjVXZt337dly5cgUeHh6wtLQEUN0epKZV20+3GRgYAAD09PQwcuRI5OXlISIiosZCdlZWFoqLi9/0H4mIiIiI/gJZ1fNLGoiIiIiIiGrZ9evX0bt3b1hYWKBr1641HtOqVSv06dMHH330Ee7evYtevXqhTZs2uHTpEn755ReYmZnhhx9+QMuWLQEA0dHR+PLLL+Hm5gYbGxs0atQIubm5yhXYW7duhaOjIwCgrKwMkydPxrFjx/D222/jH//4B+RyOW7cuIGsrCxkZmZi+/btcHFx0cjfBxERERG9GIvYRERERESkcU+L2C/TqVMnbNmyBXl5eYiKisKRI0dw584dNG7cGN27d8f06dPRvHlz5fFXrlzBtm3bcOrUKeTn5+Phw4do2rQp/vGPf8Df3x9t2rRReX2FQoHY2Fjs2bMHWVlZKCsrQ5MmTdC6dWv07t0b3t7eMDIyqpU/PxERERG9PhaxiYiIiIiIiIiIiEhrsSc2EREREREREREREWktFrGJiIiIiIiIiIiISGuxiE1EREREREREREREWotFbCIiIiIiIiIiIiLSWixiExEREREREREREZHWYhGbiIiIiIiIiIiIiLQWi9hEREREREREREREpLVYxCYiIiIiIiIiIiIircUiNhERERERERERERFpLRaxiYiIiIiIiIiIiEhrsYhNRERERERERERERFqLRWwiIiIiIiIiIiIi0losYhMRERERERERERGR1mIRm4iIiIiIiIiIiIi0FovYRERERERERERERKS1WMQmIiIiIiIiIiIiIq3FIjYRERERERERERERaS0WsYmIiIiIiIiIiIhIa7GITURERERERERERERai0VsIiIiIiIiIiIiItJaLGITERERERERERERkdZiEZuIiIiIiIiIiIiItBaL2ERERERERERERESktVjEJiIiIiIiIiIiIiKtxSI2EREREREREREREWktFrGJiIiIiIiIiIiISGuxiE1EREREREREREREWotFbCIiIiIiIiIiIiLSWixiExEREREREREREZHWYhGbiIiIiIiIiIiIiLQWi9hEREREREREREREpLVYxCYiIiIiIiIiIiIircUiNhERERERERERERFpLRaxiYiIiIiIiIiIiEhrsYhNRERERERERERERFqLRWwiIiIiIiIiIiIi0losYhMRERERERERERGR1mIRm4iIiIiIiIiIiIi0FovYRERERERERERERKS1WMQmIiIiIiIiIiIiIq3FIjYRERERERERERERaS0WsYmIiIiIiIiIiIhIa7GITURERERERERERERai0VsIiIiIiIiIiIiItJaLGITERERERERERERkdZiEZuIiIiIiIiIiIiItBaL2ERERERERERERESktVjEJiIiIiIiIiIiIiKtxSI2EREREREREREREWktFrGJiIiIiIiIiIiISGuxiE1EREREREREREREWotFbCIiIiIiIiIiIiLSWixiExEREREREREREZHWYhGbiIiIiEiANWvWoF27dmjXrh3WrFmjsa/bq1cv5de9fv26xr4uEREREdFfpSc6ABERERHR6NGjkZKSorJt7dq16NOnz2u/RkREBP7973+rbJs+fTr+3//7f28kI9WsV69eyMvL+0u/90Xn59l/D2/yHD548AC//vorEhMTkZmZieLiYpSUlKBRo0Zo0qQJXF1d0bNnT3Tt2hV6erX7o9L58+cRFxeH9PR05OTk4P79+5DJZDAyMkKzZs1gbW0NBwcHuLm5wcXFpdbzEBEREWkzfhIiIiIiIq20d+/e1y5iKxQKxMXF1XIi+l9VXl6OrVu34uuvv8bdu3fV9hcVFaGoqAgZGRn44Ycf0LJlS8yZMwe9evV641kKCwsRGhqKxMTEGveXlZXh7t27yMzMxMGDBwEApqamSE5Ohq6u7hvPQ0RERPS/gEVsIiIiItJKv/76K+7du4eGDRu+8thjx46hqKhIA6noZbp06YJWrVq99vFOTk61mKZaSUkJpk6diuTkZJXttra2aNmyJRo2bIhbt24hIyMDBQUFAIA//vgDU6ZMwfjx4zFnzhzIZLI3kiUvLw+jRo1Cfn6+cluDBg3g5OQECwsL1KtXD3fv3sUff/yBK1euQKFQAKheQV5VVfVGMhARERH9L2IRm4iIiIi0Sps2bXD58mWUl5dj//79+Oijj175e/bu3av2+0nzBg8ejPfff190DKVHjx5h9OjRuHDhgnJb3759MWvWLLRs2VLl2KqqKpw8eRLh4eHIzMwEAPz73/9GaWkpFi9e/EbyhISEKAvYJiYmmD9/Pry8vFCvXj21Y0tKSvDrr78iPj4ev/322xv5+kRERET/qzjYkYiIiIi0ysCBA5VFvWeL0y9SUlKChIQEAED79u1ha2tbq/nof8fnn3+uUsCeM2cOoqKi1ArYACCTydCpUyfs2rULffv2VW7fvn079u3b97eznD17FidOnFB+rXXr1uH999+vsYANVBe5vby8sH79evz8889sJUJERESSxiI2EREREWkVMzMzdO/eHQBw5swZXLt27aXH//jjj3j8+DEAwMfHp5bT0f+KpKQkxMbGKp+PHj0afn5+r/x9enp6WLFiBTp06KDctmjRIty/f/9v5Tl27JjysbOzM9zd3V/797Zo0eKNtTQhIiIi+l/EdiJEREREpHV8fHzwyy+/AAD27NmDTz755IXHPl2traenBy8vL6Snp/+pr1VVVYWffvoJhw4dwtmzZ1FcXAwAkMvlcHZ2Rt++fdGvX78/VUQ8ceIEdu7cibS0NNy6dQsNGzbE22+/jUGDBuH9999H/fr1/1TGp5KSkvDjjz8iNTUVRUVFePjwIRo1aoR27drh3XffxdChQ2FoaPiXXruu+fbbb5WPmzZtipkzZ77279XX10dYWBg++OADVFVVoaSkBNu3b8eECRP+cp4bN24oH1tZWf3l13mVxMREHD58GGlpaSgqKkJJSQnq16+PFi1awNHRET169ECPHj2gp/fiHwXf1Hti9OjRSElJAQB899136Ny5M27evIn//Oc/SEhIQEFBAW7fvg1jY2OcOnVK7fc/bSn066+/4vz587h9+zaqqqpgZmYGFxcXDBgwAH369Hmt9+bZs2exZ88enD59GtevX0dpaSn09PTQoEEDWFlZoX379ujcuTN69uwJIyOjV74eERERaRaL2ERERESkdd599100bNgQ9+7dw759+xAQEFBjoer69evK4le3bt0gl8v/1Ne5du0aAgMDVVpOPPXw4UPk5uYiPj4eHTp0wKpVq9CiRYuXvl5FRQVCQ0Oxa9cule1FRUUoKipCamoqfvjhB6xZs+ZP5SwoKMCcOXOUBcGaXvvo0aNYv349Vq5ciX/84x9/6vXrmuvXr+PIkSPK5yNGjPjThckOHTrA3d1d+XceExPzt4rYOjr/dxPs9evX//LrvMilS5cwb948nD9/Xm3fgwcPcOHCBVy4cAHbt2/HwIEDsXLlyhpf502/J56VkJCAkJAQ3Lt375XHJicn49NPP0VOTo7avry8POTl5WH//v1wcXHB6tWr0bRp0xpfp6KiAosXL8b27dvV9ikUCuX7Jz09Hdu2bcPkyZMRGBj42n8mIiIi0gwWsYmIiIhI6+jr62PAgAHYtm0b8vLycPLkSXTq1EntuD179qCqqgoA4O3t/ae+xpUrVzBq1Cjcvn1buc3W1hbt27eHTCbDhQsXkJWVBQD4/fff8eGHH+L777+vsZ/yU3PnzkV8fLzyeYMGDdC5c2c0atQIBQUFSE5OxuXLlzFx4kT06tXrtXOOHTsWRUVFAKr7Kdvb26NNmzYwNDTEjRs3cPLkSZSWluLmzZv4+OOPsXHjRnh4ePypv4+65Pliv5eX1196ncGDBytf62nhtHnz5n/ptd5++23l4/PnzyMpKQldunT5S6/1vOTkZEyZMgWlpaXKbVZWVnB0dESjRo3w8OFD/PHHH7h48SLKy8vx5MmTGl+nNt4TT50+fRpRUVEoLy9Ho0aN4O7ujsaNG6O4uBgZGRkqx/7444+YPXs2ysvLAQCGhoZwdnZG8+bNoaOjg2vXruHMmTOoqKjAmTNnMGLECMTGxqJJkyZqX/eLL75QKWA3bdoUTk5OMDMzQ2VlJe7evYvLly/jjz/+eOWfgYiIiMRhEZuIiIiItJKPjw+2bdsGoLpYXVMR++nAvQYNGqB3796v/dplZWWYOXOmslgnl8sRGRmJd955R+W4o0ePIigoCHfu3MGtW7cwa9YsbN++vcZhfHv27FEpYI8aNQqzZ89Wae9x8+ZNzJ49GydOnMAPP/zwypwPHz7E//t//09ZwP7nP/+JBQsWqBREgerhlpGRkYiJiUFZWRmCgoLw448/wtTU9LX/TuqS1NRU5ePGjRur/X29LicnJ7XX/atF7HfffRcRERGorKxEZWUlpkyZgo8//hg+Pj6wtrb+S68JVK/SDwgIUBaw33rrLSxcuBD//Oc/1Y69d+8efvzxR2RnZ6vtq433xLPWrFkDhUKBgIAATJgwQeX4srIy5eOnK8rLy8shk8nw8ccfY8qUKWjQoIHK6+Xm5mLu3LlITU1FQUEBgoODsXHjRpVj7ty5g61btwIAdHV1ER4eDh8fnxrv6rh58yYOHjzIdjxERERaikVsIiIiItJKrq6usLGxwbVr13Dw4EGEhoaqFJjS0tKUxbgBAwbAwMDgtV87Li4OmZmZAIB69erhm2++gb29vdpx3bp1w4YNGzBy5EhUVFTg999/x/79+9UGSFZWVuKrr75SPn///fexYMECtdezsLDA+vXrMXz4cFy8ePGVOTdt2oQrV64AAPr27YvVq1ertKV4ysTEBJ999hkeP36M3bt3o6ioCDExMZg4ceIrv8abtG/fvhrbWbxIaGhoreTIy8tTPm7btu1ffp02bdpAR0cHlZWVaq/7Z1lbW8PX1xdbtmwBADx69Aj/+te/8K9//QvNmzeHs7MzHBwc4OzsDCcnJ+jr67/W6y5fvhx37twBADRv3hzbt2+vcUUyADRs2BAffvhhjfve9HvieRUVFfjkk08wZcoUtX3P/lk///xz5aDWefPmYdy4cTW+XosWLfDNN99g2LBhuHz5Mn777Tekp6fD2dlZeczT1doAMHDgQAwZMuSF+SwsLDB69OiX/hmIiIhIHBaxiYiIiEhreXt7Y9WqVSgpKUFCQgI8PT2V+/bs2aNy3J/xbHuBDz/8sMZi3VNOTk4YNmwYYmJiAFT3Rn6+YHfkyBEUFBQAqG59MGfOnBe+nqGhIebOnYvx48e/NGN5eblyFam+vj4WLVpUYwH7WYGBgcoWK3FxcRovYiclJSEpKem1j6+tIvazPZcbNmz4l19HV1cXxsbGePDggdrr/hXz5s1DRUWF8t/SU09blRw4cABA9fnu2rUrhg4dij59+rzw9W7cuIEff/xR+fyzzz57YQH7Vd70e+J5FhYWr+wpnpmZiRMnTgAA7O3tMXbs2Jceb2RkhKlTpyqHdsbFxakUsUtKSpSPzczMXvpaREREpN1e/imYiIiIiEggb29v5a3/zxaty8rKlMW7t99+Gx07dnzt1ywpKVFZLTx06NBX/p5hw4YpH587dw4PHz5U2Z+cnKx83KNHDzRu3Pilr/fOO++8cBDdU+fPn0dxcTEAoEuXLq81tLJp06Zo1aoVgOq2DE+Lr1LzbG/o+vXr/63XenYg5LNF0b9CT08Pn332GbZt24Y+ffq8sAVHWVkZfv31V0ybNg0ffvgh8vPzazzu+PHjypXGNjY2NbYQeR218Z54Xr9+/aCn9/I1VImJicrHgwYNqrHtx/Oe7f3+bBsZALC0tFQ+PnTokPL9RERERP97uBKbiIiIiLRW8+bN4e7ujpSUFBw/fhxFRUUwNzfH4cOHcf/+fQB/fhX2xYsXoVAoAFQXKNu1a/fK39O+fXsYGRnh4cOHUCgUyMzMhJubm3L/s4PpXFxcXvl6MpkMzs7O+Pnnn194zJkzZ5SPCwsLsXjx4le+LgDl30tVVRUKCws12hd76dKleP/99zX29V7E2NhY+fjRo0d/67WeLc6amJj8rdd6ytXVFWvXrsWDBw9w8uRJpKam4vfff8eFCxfUVnufPn0aw4cPx65du9QufDz7b6SmnvGvqzbeE89zcHB45WuePn1a+Tg5OfmFxftnPR3sCkB5N8RTzs7OsLS0REFBAfLz8zFo0CC8//776NWr159q2UJERETisYhNRERERFrN29sbKSkpUCgUiIuLw/jx47F3714A1cXgP1vEfto/GKheqfk6qz11dHTQrFkzXL16Ve01ACiH4T19zdfxquNu3rypfHzx4sXX6qH9vL/b/uJ/1bMtRP7O34FCoVBZ1f13WpPUxNTUFL169UKvXr0AVBdkL1y4gH379mH79u3KAnxRUREWLlyIdevWqfz+Z1cWt2jR4i/nqI33xPNedXcCoPpv/rfffnvl8c97egHnqXr16uGLL77ApEmT8PDhQ9y5cwfffvstvv32WxgYGMDBwQHu7u745z//CTc3t9f6cxMREZEYbCdCRERERFqtf//+ypYQe/bsQXFxMY4cOQIA6Nix458u3v3VVhPPHvvsawCqq3Vf9zVfddybaAXydHWt1DRv3lz5+NKlS3/5dS5fvqwc6vj869YGmUyGDh06IDg4GP/5z39gbm6u3Pfrr78iNzdX5fhn/x0+2/bkz6qN98Tznh3K+iJ/t11LTf/eO3XqhH379sHHx0clw5MnT5Camop169bho48+Qv/+/ZGQkPC3vj4RERHVHq7EJiIiIiKtZmJigt69eyM+Ph4XL15EZGSksg/wq4bJ1eSvtpp49thnXwNQLSC+7mu+6rhnC4SjR4/Gp59++lqvS4CbmxtiY2MBVK8Qzs7OhrW19Z9+nbNnz6o8/zO91/+uVq1aYd68eZg1a5ZyW2pqqspFm2f/Hb6qJ/XL1MZ74q949t98VFQU+vbt+7dfE6hepR4REYGFCxciNTUVqampSEtLQ3p6Oh4/fgwAuHbtGqZNm4Z58+bh448/fiNfl4iIiN4crsQmIiIiIq33bLH6P//5DwDAwMAA/fv3/9Ov9Wxbg8LCQpWeui9SWVmJwsLCGl8DAMzMzJSPn+/L+yLPvl5NmjRponx869at13pNqvZ8f+i4uLi/9Dr79u1TPm7evHmtr8R+Xvfu3VWeP9tuA4DKsM/r16//5a9TG++Jv+LZf/NFRUV/+/WeZ2RkhO7du+OTTz7Bd999h+TkZKxatQq2trbKY5YvX44bN2688a9NREREfw+L2ERERESk9d555x2V1goA0Lt37780tLBdu3bQ1dUFUN0C4XV6TWdmZipXuurq6sLOzk5lf/v27ZWPnx229yJVVVVIT09/6TFOTk7Kx6dPn36twiJVa9GiBbp166Z8vmPHjj+9Uvn333/HyZMnlc9Hjhz5xvK9LgMDA5Xnzw8ifHaIaHJy8l/+OrXxnvgrnv03n5aW9rdf71UMDQ3Rv39/bNmyRVlALy8vV7YrIiIiIu3BIjYRERERaT1dXV14eXmpbPsrrUSA6vYkDg4Oyue7d+9+5e952poCqC60Pd9/uHPnzsrHv/32G+7evfvS1ztx4sQrV2J37NgRDRo0AFC9OvaXX355ZU76P35+fsrHN27cwIoVK17795aXl2PBggXKCwcmJiYYMWLEG8/4KpmZmSrPraysVJ6/88470NOr7hB57dq1v1x8rY33xF/x7rvvKh8fOnRIY3cgNGrUCG5ubsrnzw7MJCIiIu3AIjYRERER/U+YMmUKYmNjlb+eXWn7Zz1bkNy6datasfBZ58+fx/bt25XPP/zwQ7VjunXrBktLSwDVfYK//PLLF77ekydPsGzZsldm1NfXx9ixY5XPFy1a9KfaHEi9Bck777yD999/X/l8y5Yt+Pe///3K31dRUYGZM2fi999/V25buHCh8oLCX/Wf//wHP/3002uvqFcoFFizZo3yeb169dClSxeVY5o2bYoBAwao5Pyr5/1Nvyf+CicnJ2UrmMePH2POnDkoKyt7rd9bVlaGe/fuqWy7c+fOa3/tZ9sAPdseiIiIiLQDi9hERERE9D+hQYMGcHR0VP562v7gr/Dy8lK2PygvL4e/vz9OnDihdtzx48cxYcIE5SDJDh06YNCgQWrH6erqIiAgQPk8NjYW4eHhePLkicpxRUVFmDx5MjL/P3t3HmdVXTdw/HNnY2bYRMYdVxRxAURxgVBLyUqzBE3MEDXSMs0sn7QsS9PCzKdHzR4XNBM1l9xaXDJ3TRR3MvcFVNwYQBYZmO0+f/DMMAMDMub87vlyP+/Xq1fOuWdmPr+ZuWdmvpw554UXKC8v/8jOI488kq222gpYejbxgQceyO23305zc3OH+8+ZM4frrruO0aNHc9lll33k21/TnXrqqWy99datL//qV7/iO9/5Dq+//voK++bzeR577DEOOugg7rzzztbtY8eO5Utf+tJ/3PLaa6/x3e9+l3333ZdJkyYxc+bMle77yiuvcPTRR/PQQw+1bjvkkEM6vHzOiSeeyFprrQXAzJkzGTt27ErPyJ4/fz7XXXcdZ5999gqPfdLPiY/r1FNPbT2r+5///Cfjxo1b5aV3Xn/9dX73u9+x1157rXAJkquuuoovf/nL/PGPf1zpNbY//PBD/ud//od//etfwNLn8n/yD2SSJKlrlBU6QJIkSUqtoqKC3/zmN4wbN445c+Ywa9YsDj/8cAYOHNh6fevnn3++3dmoffv25b//+79XOnwePXo0999/P7fffjsAkydP5s9//jO77rora621Fu+88w6PPvoo9fX19OvXj7333psrrrhilZ3du3fnwgsv5IgjjuCtt95i1qxZnHDCCfTp04cddtiBmpoa8vk88+bN45VXXmHGjBmtA+7ddtvtk/hQdcpf/vIXnn322dXef/311+foo49e5T7XXnstd91112q/zeOPP569994bWHojv6uuuopjjz2WqVOnAnDnnXdy5513svXWW7PFFlvQs2dP5syZw3PPPcfbb7/d7m0deeSRnHzyyav9vlfHa6+9xjnnnMM555zD+uuvz9Zbb83aa69NRUUF8+bN4+WXX+bVV19t9zpDhw7le9/7Xodvb4MNNuDcc8/l29/+NosWLeKtt97iG9/4BhtttBGDBg2id+/eLFq0iOnTp/PCCy/Q0NDQ+lGUb/cAAQAASURBVPFpqyueEx/HgAED+M1vfsP3vvc96urqeOaZZzj44IPZZJNN2Hbbbenduzf19fXMnj2bF1988SP/OuGFF17g9NNP5+c//zmbbLIJW221FX369KGxsZFZs2bx5JNPtrte+lFHHdX6VxWSJCk7HGJLkiSpKPXv358//vGPfP/73+e5554Dlg68OrqMwnbbbce5557LJptsssq3+etf/5rKysrWawrPmzev3Vm9AFtssQUXXHABt91222p1brzxxtx444387Gc/4+9//zv5fJ65c+dy7733rvR1evXqxYABA1br7X+SpkyZwpQpU1Z7/4EDB37kELu2trZTl8hY/pISvXr14rLLLuOqq67ioosuan38xRdfXOkNDDfffHP+67/+i1GjRq32+/0oO+ywA1tuuSWvvPJK67Z33313lddGLysr49BDD+V73/veKq85PXz4cK655hpOPvnk1q/fmTNnrvRs75W9ra54Tnwcn/nMZ7j22ms55ZRTWi/r8sYbb/DGG2+s9HU22mgj1l9//Xbbunfv3vrf+XyeGTNmMGPGjA5fv7y8nG9961scd9xxn8AKJEnSJ80htiRJkorW5ptvzo033sgdd9zBnXfeybRp05gzZw6w9Lq4Q4YM4XOf+xyf+9znyOVyH/n2ysvLOeuss/jyl7/M9ddfz5NPPsns2bPp3bs3m2yyCV/4whc48MAD2w3XVsdaa63Feeedx0svvcStt97Ko48+yltvvcUHH3xASUkJvXr1aj1TdcSIEXzqU5+iW7duH+tjsiaqqKjg61//Ol/5yle4++67uf/++3nhhReYM2cOH374Ib1796ampoYddtiBz3zmM4wcObL1homflFGjRjFq1CjeeOMNHn30UZ566ilee+013nrrLebPn09TUxPV1dWsvfbaDBgwgJ122ol9992Xddddd7Xe/sCBA7nlllu46667uOuuu3j66aepra2lrq6OHj160K9fPwYPHsxnPvMZdt9995W+nU/6OfFxDRw4kJtuuomHHnqIu+66iyeffJL333+fBQsWUFFRQZ8+fdh8880ZMmQII0eOZOjQoSv0fP3rX2efffbh4Ycf5qmnnuLFF19k5syZfPjhh+RyOXr16sUWW2zBbrvtxgEHHMBGG23UZeuRJEn/mVx+de8sIkmSJEmSJElSYt7YUZIkSZIkSZKUWQ6xJUmSJEmSJEmZ5RBbkiRJkiRJkpRZDrElSZIkSZIkSZnlEFuSJEmSJEmSlFkOsSVJkiRJkiRJmeUQW5IkSZIkSZKUWQ6xJUmSJEmSJEmZ5RBbkiRJkiRJkpRZDrElSZIkSZIkSZnlEFuSJEmSJEmSlFkOsSVJkiRJkiRJmeUQW5IkSZIkSZKUWQ6xJUmSJEmSJEmZ5RBbkiRJkiRJkpRZDrElSZIkSZIkSZnlEFuSJEmSJEmSlFkOsSVJkiRJkiRJmeUQW5IkSZIkSZKUWQ6xJUmSJEmSJEmZ5RBbkiRJkiRJkpRZZYUOkFQcZs9eQD5f6IqPr6qqgrq6+kJndIrNXS9aL9icQrResDmFaL0QrzlaL9icQrResDmFaL0QrzlaL9icQrTe5eVy0Ldvz0JnFC2H2JKSyOcJPcSGmP02d71ovWBzCtF6weYUovVCvOZovWBzCtF6weYUovVCvOZovWBzCtF6lR1eTkSSJEmSJEmSlFkOsSVpNUT812Kbu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9ypZcPu+XkKSuV1sb+5rYkiRJkiSpeOVyUFPjNbELxTOxJWk1lJTkCp3QaTZ3vWi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9YHMK0XqVLQ6xJWk1VFaWFzqh02zuetF6weYUovWCzSlE64V4zdF6weYUovWCzSlE64V4zdF6weYUovUqWxxiS5IkSZIkSZIyyyG2JEmSJEmSJCmzHGJL0mpobo53V0qbu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9ypZcPp/3K0hSl6utXYBHG0mSJEmSFFEuBzU1PQudUbQ8E1vKqPfee4//+q//Ytddd2Xw4MHsv//+/Otf/2p9PJ/Pc9555zFy5EgGDx7MEUccwfTp09u9jQ8++IATTzyRHXfckWHDhnHKKafw4YcfttvnhRde4NBDD2XQoEHsueeeTJo0aYWW22+/nc9//vMMGjSI/fffn/vvv79L1pxlZWXxDpc2d71ovWBzCtF6weYUovVCvOZovWBzCtF6weYUovVCvOZovWBzCtF6lS1+9UgZNG/ePL761a9SXl7OpEmTuPXWWzn55JPp3bt36z6TJk3iyiuv5LTTTuP666+nqqqKCRMmsGTJktZ9/uu//otXXnmFyy+/nIsuuojHH3+cn/70p62PL1y4kAkTJrDhhhty0003cdJJJ3HBBRdw3XXXte7z5JNPcuKJJ3LQQQdxyy23sPfee3Psscfy0ksvpflgZERFRVmhEzrN5q4XrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrRdsTiFar7LFIbaUQZMmTWL99ddn4sSJDB48mI033piRI0eyySabAEvPwp48eTLHHHMMo0aNYuDAgZx99tm8//773HXXXQC8+uqrPPjgg5x55pkMGTKEYcOG8ZOf/IRbb72V9957D4C//OUvNDQ08Mtf/pKtttqK/fbbj8MOO4zLL7+8tWXy5MnsvvvufOMb36B///6ccMIJbLvttlx11VXpPzCSJEmSJEkqOg6xpQy655572H777Tn++OMZPnw4BxxwANdff33r42+99RazZs1ixIgRrdt69uzJkCFDeOqppwB46qmn6NWrF4MGDWrdZ8SIEZSUlDBt2jQAnn76aYYNG0ZFRUXrPiNHjuT1119n3rx5rfsMHz68Xd/IkSN5+umnP/F1S5IkSZIkScvzPH4pg958802uueYajjzySL71rW/xr3/9izPPPJPy8nJGjx7NrFmzAOjbt2+71+vbty+1tbUA1NbWsvbaa7d7vKysjN69e7e+fm1tLf369Wu3T01NTetjvXv3pra2tnVbR+9ndVVVLRuUNzY2UV/fREVFKWVlpa3bGxqaaGhoolu3MkpLl/0bW319I42NzVRWllNSkmvdvnhxA83NeaqqKsgt20xdXQP5fJ7q6mXvE2DRonpyuRxVVeWt2/J5qKurp6QkR2Xlsu3NzXkWL26grKyEiooyyspKqK6uoKmpmSVLGikvL6W8fFl7FtfU3Nx+/+XX1CJLa2q5RtrH/TylXlNpaUm7/q742vuk19RyP+dCPp86u6aW51+WjxFt19TU1JyJ51Nn1lRWVkJlZXnmjxFt19TydfFxP0+p11RWVkIulyv486kza2r7Mc7yMWJ5hX4+dWZNLR/jQj+fOrOm5d9OVo8RLWsqKyuhqqqi4M+nzqyp7XPv436eUq+puXnpzxdZPka0XVPbj3GWjxFt19TU1Fzw51Nn1uTvT/7+tKb8/rSyNSk9h9hSBuXzebbffnu+//3vA7Dtttvy8ssvc+211zJ69OgC1308dXX1/P/srFV9/dJvHstbsqSxw7exeHHDSt92RxYtWnF7Pp/vcHtzc8fbGxubaWxccXvLN7jlZWlNK3vbkdeUtc/TggWLO9weeU1r4uepEGsC1rg1Ze3zNH/+is+/6GvK2uepo3VFX1NHXFPn1lRX1/H7jLymrH2eOjq+RV9T1j5PHa0rwpqAovo8dcTfn2J/nqL//pTLQffu3Tp8XF3Py4lIGbTOOuvQv3//dtu22GIL3n777dbHAWbPnt1un9mzZ7eeNV1TU8OcOXPaPd7Y2Mi8efNaX7+mpmaFM6pbXm77dpbfp+37KRZt/+U2Cpu7XrResDmFaL1gcwrReiFec7ResDmFaL1gcwrReiFec7ResDmFaL3KFofYUgbtuOOOvP766+22TZ8+nY022giAfv36sc466zBlypTWxxcuXMgzzzzD0KFDARg6dCjz58/n2Wefbd3nkUceobm5mcGDBwOwww478Pjjj9PQsOxfSR9++GE233xzevfu3brPI4880q7l4YcfZocddvjkFhxAxG+2Nne9aL1gcwrResHmFKL1QrzmaL1gcwrResHmFKL1QrzmaL1gcwrRepUtDrGlDDr88MN55plnuOiii5gxYwZ//etfuf766zn00EOBpde7Gj9+PBdeeCF33303L774IieddBLrrrsuo0aNAqB///7svvvunHrqqUybNo0nnniCM844g/3224/11lsPgP3335/y8nJ+/OMf8/LLL3PbbbcxefJkjjzyyNaW8ePH8+CDD/L73/+eV199ld/+9rc8++yzjBs3Lv0HRpIkSZIkSUUnl88vf5VaSVlw77338pvf/Ibp06fTr18/jjzySA4++ODWx/P5POeffz7XX3898+fPZ6edduJnP/sZm2++ees+H3zwAWeccQb33HMPJSUl7LPPPvzkJz+he/furfu88MIL/PznP+df//oXffr0Ydy4cRx99NHtWm6//XbOPfdcZs6cyWabbcYPfvAD9txzz06tp7Z2wQrXxI6kurqiw+tuZZnNXS9aL9icQrResDmFaL0QrzlaL9icQrResDmFaL0QrzlaL9icQrTe5eVyUFPTs9AZRcshtqQkog+xKypKO7zpQ5bZ3PWi9YLNKUTrBZtTiNYL8Zqj9YLNKUTrBZtTiNYL8Zqj9YLNKUTrXZ5D7MJyiC0piehDbEmSJEmSVLwcYhdWWaEDJCmLahcuofbDZX/mVF5eSkPDsn8xruleQU2PboVIW20R/5U7WnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9yhaH2JLUgZumvcOkKW+s9PGjhm/C0SM2Sxf0MZSVxfsBIVpztF6wOYVovWBzCtF6IV5ztF6wOYVovWBzCtF6IV5ztF6wOYVovcoWh9iS1IExgzdgj/59AZg+exGn3v4iZ3xhazbrWw0sPRNbkiRJkiRJXc8htiR1oKZHtxUuF7JZ32oGruf1ryRJkiRJklIqKXSAJKlrtL2GdxTRmqP1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1gs0pROtVtjjElqQ1VMQfEKI1R+sFm1OI1gs2pxCtF+I1R+sFm1OI1gs2pxCtF+I1R+sFm1OI1qtscYgtSWuobt3iXTEqWnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9yhaH2JK0hiotjXeIj9YcrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrRdsTiFar7LFrx5JkiRJkiRJUmY5xJYkSZIkSZIkZZZDbElaQ9XXNxY6odOiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNarbHGILUlrqMbG5kIndFq05mi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9YHMK0XqVLQ6xJWkNVVlZXuiETovWHK0XbE4hWi/YnEK0XojXHK0XbE4hWi/YnEK0XojXHK0XbE4hWq+yxSG2JK2hSkpyhU7otGjN0XrB5hSi9YLNKUTrhXjN0XrB5hSi9YLNKUTrhXjN0XrB5hSi9SpbHGJLkiRJkiRJkjLLIbYkSZIkSZIkKbMcYkvSGmrx4oZCJ3RatOZovWBzCtF6weYUovVCvOZovWBzCtF6weYUovVCvOZovWBzCtF6lS0OsSVpDdXcnC90QqdFa47WCzanEK0XbE4hWi/Ea47WCzanEK0XbE4hWi/Ea47WCzanEK1X2eIQW5LWUFVVFYVO6LRozdF6weYUovWCzSlE64V4zdF6weYUovWCzSlE64V4zdF6weYUovUqWxxiS9IaKhfwxs/RmqP1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1gs0pROtVtjjEliRJkiRJkiRllkNsSZIkSZIkSVJmOcSWpDVUXV28Oz9Ha47WCzanEK0XbE4hWi/Ea47WCzanEK0XbE4hWi/Ea47WCzanEK1X2eIQW5LWUPl8vDs/R2uO1gs2pxCtF2xOIVovxGuO1gs2pxCtF2xOIVovxGuO1gs2pxCtV9niEFuS1lDV1fHu/BytOVov2JxCtF6wOYVovRCvOVov2JxCtF6wOYVovRCvOVov2JxCtF5li0NsSZIkSZIkSVJmOcSWJEmSJEmSJGWWQ2xJkiRJkiRJUmY5xJakNdSiRfWFTui0aM3ResHmFKL1gs0pROuFeM3ResHmFKL1gs0pROuFeM3ResHmFKL1KlscYkvSGiqXyxU6odOiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNarbHGILUlrqKqq8kIndFq05mi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9YHMK0XqVLQ6xJUmSJEmSJEmZ5RBbkiRJkiRJkpRZDrElaQ2Vzxe6oPOiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNarbHGILUlrqLq6eHd+jtYcrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrRdsTiFar7LFIbYkraFKSuLd+Tlac7ResDmFaL1gcwrReiFec7ResDmFaL1gcwrReiFec7ResDmFaL3KFofYkrSGqqyMd+fnaM3ResHmFKL1gs0pROuFeM3ResHmFKL1gs0pROuFeM3ResHmFKL1KlscYkuSJEmSJEmSMsshtiRJkiRJkiQpsxxiS9Iaqrk53q2fozVH6wWbU4jWCzanEK0X4jVH6wWbU4jWCzanEK0X4jVH6wWbU4jWq2xxiC1Ja6jFixsKndBp0Zqj9YLNKUTrBZtTiNYL8Zqj9YLNKUTrBZtTiNYL8Zqj9YLNKUTrVbY4xJakNVRZWbxDfLTmaL1gcwrResHmFKL1QrzmaL1gcwrResHmFKL1QrzmaL1gcwrRepUtfvVI0hqqoqKs0AmdFq05Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XmWLQ2xJkiRJkiRJUmY5xJYkSZIkSZIkZZZDbElaQzU1NRc6odOiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNarbHGILUlrqCVLGgud0GnRmqP1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1gs0pROtVtjjElqQ1VHl5aaETOi1ac7ResDmFaL1gcwrReiFec7ResDmFaL1gcwrReiFec7ResDmFaL3KFofYkrSGivgDQrTmaL1gcwrResHmFKL1QrzmaL1gcwrResHmFKL1QrzmaL1gcwrRepUtDrElSZIkSZIkSZnlEFuSJEmSJEmSlFkOsSVpDdXY2FTohE6L1hytF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2xOIVqvssUhtiStoerr4/2AEK05Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XmWLQ2xJWkNVVMS7aUa05mi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9YHMK0XqVLQ6xJWkNVVYW7weEaM3ResHmFKL1gs0pROuFeM3ResHmFKL1gs0pROuFeM3ResHmFKL1KlscYkuSJEmSJEmSMsshtiRJkiRJkiQpsxxiS9IaqqEh3k0zojVH6wWbU4jWCzanEK0X4jVH6wWbU4jWCzanEK0X4jVH6wWbU4jWq2xxiC1Ja6iIPyBEa47WCzanEK0XbE4hWi/Ea47WCzanEK0XbE4hWi/Ea47WCzanEK1X2eIQW5LWUN26lRU6odOiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNarbHGILUlrqNLSeIf4aM3ResHmFKL1gs0pROuFeM3ResHmFKL1gs0pROuFeM3ResHmFKL1Klv86pEkSZIkSZIkZZZDbEmSJEmSJElSZnkxGmk5M2bM4Mknn+Tdd99l7ty5VFVV0adPH7beemuGDh1KZWVloROl1VJf31johE6L1hytF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2xOIVqvssUhtgS88847/OlPf+Lmm2/m3XffBSCfz7fbJ5fLUVpaysiRIxk7diyf/vSnyeVyhciVVktjY3OhEzotWnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9yhaH2Cpqc+bM4fzzz+eGG26gsbGRTTfdlC996Utsv/329O3bl7XWWovFixczb948Xn/9dZ5++mkeeeQR7r//fjbddFN+8IMfsPfeexd6GVKHKivLWby4odAZnRKtOVov2JxCtF6wOYVovRCvOVov2JxCtF6wOYVovRCvOVov2JxCtF5li0NsFbVRo0ZRUlLCYYcdxpe+9CW22Wabj3ydRYsW8fe//50//elPHHfccZx88skcccQRXR8rdVJJSby/FIjWHK0XbE4hWi/YnEK0XojXHK0XbE4hWi/YnEK0XojXHK0XbE4hWq+yxSG2itr48eP5+te/Tq9evVb7daqrqxk9ejSjR49mypQpLFy4sAsLJUmSJEmSpOLmEFtF7YQTTviPXn/48OGfTIgkSZIkSZKkDpUUOkCS1DUiXmssWnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9yhaH2JK0hmpuzhc6odOiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNarbPFyIip6Rx11VKdfJ5fLcckll3RBjfTJqaqqoK6uvtAZnRKtOVov2JxCtF6wOYVovRCvOVov2JxCtF6wOYVovRCvOVov2JxCtF5li0NsFb0HH3yw06+Ty6W9o+4ll1zCf//3fzN+/Hh+/OMfA7BkyRLOOussbrvtNurr6xk5ciQ/+9nPqKmpaX29t99+m9NOO41HH32U6upqDjjgAE488UTKypY99R999FHOOussXn75ZTbYYAOOOeYYxowZ0+79X3311Vx22WXMmjWLgQMHcuqppzJ48OA0i9fHlvjL9BMRrTlaL9icQrResDmFaL0QrzlaL9icQrResDmFaL0QrzlaL9icQrReZYtDbBW9u+++u9AJqzRt2jSuvfZatt5663bbf/nLX3L//fdz7rnn0rNnT8444wyOO+44rr32WgCampr45je/SU1NDddeey3vv/8+J598MuXl5Xz/+98H4M033+Sb3/wmhxxyCOeccw5TpkzhJz/5Ceussw677747ALfddhsTJ07k9NNPZ8iQIVxxxRVMmDCBO+64g759+6b9YEiSJEmSJKnoOMRW0dtoo40KnbBSH374IT/4wQ8488wzufDCC1u3L1iwgBtvvJFzzjmH4cOHA0uH2vvuuy9PP/00O+ywAw899BCvvPIKl19+OTU1NWyzzTZ897vf5ZxzzuG4446joqKCa6+9ln79+vHDH/4QgP79+/PEE0/whz/8oXWIffnll3PwwQdz4IEHAnD66adz3333ceONN3L00Ucn/ohIkiRJkiSp2HhjRynDfv7zn7PnnnsyYsSIdtufffZZGhoa2m3v378/G264IU8//TQATz/9NAMGDGh3eZGRI0eycOFCXnnlldZ9WobgbfdpeRv19fX8+9//bvd+SkpKGDFiBE899dQnuVR1gbq6eHd+jtYcrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrRdsTiFar7LFM7FV9BYtWsQBBxzA2muvzZVXXkl5eXmH+9XX13P44Yczd+5cbrnlFiorK7u069Zbb+W5557jhhtuWOGx2tpaysvL6dWrV7vtffv2ZdasWa37tB1gA60vf9Q+CxcuZPHixcybN4+mpqYVLhvSt29fXnvttU6tp6qqovW/GxubqK9voqKilLKy0tbtDQ1NNDQ00a1bGaWly/6Nrb6+kcbGZioryykpWXYRrcWLG2huzlNVVdHu2lp1dQ3k83mqq5e9T4BFi+rJ5XJUVS37HOfzUFdXT0lJjsrKZdubm/MsXtxAWVlJ6/bKynK6dStjyZJGystLKS9f1p7FNeVy7T/ubddUUbHs8N/U1BxmTav6PBViTZWV5UHXlC+qz5Nrck2uyTW5pk9uTaWlOSoqlm1fE9aUtc9T2/ZIa8rnKarPk2ta89bk70/+/tSZNSk9h9gqejfddBNvvvkmv/jFL1Y6wAaoqKjgxBNPZNy4cdx444187Wtf67Kmd955h1/84hf8/ve/p1u3bl32flKqq6snn2+/rb5+6TeP5S1Z0tjh21i8uON/tV3Z3Y0XLVpxez6f73B7c3PH2xsbm1vf7+LFDa1tLd/glpelNVVWlq90TY2NK27Pwppafnj5OJ+nQqwpl+v4c/JJfe11xZqqqytobKwv2PPp46ypurqi3dvL2jFi+TW19Bb6+dRiddZUXV3R+r6yfIxokf//byjLP5a1Y0TbNVVXV6y0G7JzjGixeHHDCs89yOYxokV1dQUNDU0Ffz619VFrWv5jnNVjRFsVFWUdbs/aMaLt8a3ldbN8jFje8p1ZPEa01fK1nOVjRIslSxo7PL5l8RjRVktz1o8RLWta/mOc1WNEW/7+5O9PsOo15XLQvfuaMaOJyMuJqOjdfffd9O/fn5133vkj9x02bBgDBgzgzjvv7NKmf//738yePZsxY8aw7bbbsu222zJ16lSuvPJKtt12W2pqamhoaGD+/PntXm/27Nmss846wNIzqmtra9s93vLyR+3To0cPKisr6dOnD6WlpcyePXuF97P8GdySJEmSJElSV3CIraL3wgsvMGzYsNXef8cdd+Sll17qwiLYbbfd+Otf/8ott9zS+r/tt9+e/fffv/W/y8vLmTJlSuvrvPbaa7z99tvssMMOAOywww689NJL7QbQDz/8MD169GDLLbds3eeRRx5p974ffvjh1rdRUVHBdttt1+79NDc3M2XKFIYOHdpFq5ckSZIkSZKW8XIiKnoLFixgrbXWWu39e/fuzYIFC7ouCOjRowcDBgxot626upq11lqrdfuBBx7IWWedRe/evenRowdnnnkmQ4cObR1Ajxw5ki233JKTTjqJH/zgB8yaNYtzzz2Xr33ta1RULP2To0MOOYSrr76as88+mwMPPJBHHnmE22+/nYsvvrj1/R555JGcfPLJbL/99gwePJgrrriCuro6xowZ06UfA0mSJEmSJAkcYkt0796dDz74YLX3nzdvHt27d++6oNV0yimnUFJSwvHHH099fT0jR47kZz/7WevjpaWlXHTRRZx22mmMHTuWqqoqRo8ezfHHH9+6z8Ybb8zFF1/MxIkTmTx5Muuvvz5nnnkmu+++e+s+++67L3PmzOH8889n1qxZbLPNNlx66aVeTiSAjq4TlnXRmqP1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1gs0pROtVtuTy+eVvtSYVl0MOOYSFCxfyt7/9bbX2/+IXv0iPHj249tpru7hszVJbu2CFGztG8cJ7Czjsqqe4ctxQBq7Xs9A5qy2XyxHtEB+tOVov2JxCtF6wOYVovRCvOVov2JxCtF6wOYVovRCvOVov2JxCtN7l5XJQUxNnJrCm8ZrYKnp77LEHr776KrfeeutH7nvbbbfxyiuv8OlPf7rrw6T/UFVVeaETOi1ac7ResDmFaL1gcwrReiFec7ResDmFaL1gcwrReiFec7ResDmFaL3KFofYKnrjxo2jV69e/OQnP+Gmm25a6X4333wzP/7xj1lrrbU49NBDExZKkiRJkiRJxctrYqvo9erVi3PPPZdjjjmGH//4x1xwwQXsvPPOrL/++gC89957TJ06lXfeeYdu3bpx7rnn0qtXrwJXS5IkSZIkScXBIbYEDB8+nGuvvZYzzzyTxx9/nD//+c8r7LPzzjvz4x//mIEDBxagUOq8iJcai9YcrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrRdsTiFar7LFGztKy3njjTd48sknmTVrFgDrrLMOO+64I5tsskmBy2Lzxo6SJEmSJCkqb+xYWJ6JLS1nk002cWCtNUJJSY7m5lj/chCtOVov2JxCtF6wOYVovRCvOVov2JxCtF6wOYVovRCvOVov2JxCtF5lizd2lKQ1VGVlvDs/R2uO1gs2pxCtF2xOIVovxGuO1gs2pxCtF2xOIVovxGuO1gs2pxCtV9niEFuSJEmSJEmSlFkOsSVJkiRJkiRJmeUQW5LWUBGvNRatOVov2JxCtF6wOYVovRCvOVov2JxCtF6wOYVovRCvOVov2JxCtF5li0NsSVpDLV7cUOiETovWHK0XbE4hWi/YnEK0XojXHK0XbE4hWi/YnEK0XojXHK0XbE4hWq+yxSG2JK2hysriHeKjNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNarbPGrR1qFxsZG5s2bR2NjY6FTpE6rqCgrdEKnRWuO1gs2pxCtF2xOIVovxGuO1gs2pxCtF2xOIVovxGuO1gs2pxCtV9niV4+0nKamJq688kpuuukmXnnlFfL5PLlcjq222orRo0czbtw4ysp86kiSJEmSJEkpOImT2vjwww+ZMGECzzzzDCUlJWywwQbU1NRQW1vLK6+8wq9+9Sv+/ve/c9lll1FdXV3oXEmSJEmSJGmN5xBbauP888/n6aef5otf/CLf//732XDDDVsfe/vtt/nv//5vbr31Vs4//3x++MMfFrBU+mhNTc2FTui0aM3ResHmFKL1gs0pROuFeM3ResHmFKL1gs0pROuFeM3ResHmFKL1Klty+Xw+X+gIKSv22GMP1l13XW644YaV7nPggQcya9YsHnjggYRl8dXWLiDq0eaF9xZw2FVPceW4oQxcr2ehcyRJkiRJUmK5HNTUOBMoFG/sKLXxwQcfMGLEiFXuM2LECObNm5eoSPr4ystLC53QadGao/WCzSlE6wWbU4jWC/Gao/WCzSlE6wWbU4jWC/Gao/WCzSlE61W2OMSW2th0002ZPXv2KveZM2cOm2yySaIi6eOL+ANCtOZovWBzCtF6weYUovVCvOZovWBzCtF6weYUovVCvOZovWBzCtF6lS0OsaU2xo8fz2233cbLL7/c4eMvvvgit912G4cffnjiMkmSJEmSJKk4eWNHqY3NNtuM3XbbjQMPPJADDjiAnXbaiZqaGmpra3niiSe45ZZbGDlyJJtuuimPPfZYu9fdeeedC1QtSZIkSZIkrbkcYkttHHbYYeRyOfL5PNdffz1/+tOfWh9ruQfqvffey7333rvC6z7//PPJOqXV0djYVOiETovWHK0XbE4hWi/YnEK0XojXHK0XbE4hWi/YnEK0XojXHK0XbE4hWq+yxSG21Maxxx5LLpcrdIb0iaivj/cDQrTmaL1gcwrResHmFKL1QrzmaL1gcwrResHmFKL1QrzmaL1gcwrRepUtDrGlNr7zne8UOkH6xFRUlIb7ISFac7ResDmFaL1gcwrReiFec7ResDmFaL1gcwrReiFec7ResDmFaL3KFm/sKElrqLKyeHd+jtYcrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrRdsTiFar7LFIbYkSZIkSZIkKbO8nIi0nHfeeYcLL7yQhx9+mPfff5+GhoYV9snlcjz33HMFqJMkSZIkSZKKi0NsqY0333yTr3zlK8yfP58tt9yS+vp6NtxwQ7p168abb75JY2MjAwcOpGfPnoVOlT5SQ0O8a41Fa47WCzanEK0XbE4hWi/Ea47WCzanEK0XbE4hWi/Ea47WCzanEK1X2eLlRKQ2LrjgAhYuXMgf/vAH/vKXvwAwZswYbr/9du655x722msv6urqOP/88wtcKn20iD8gRGuO1gs2pxCtF2xOIVovxGuO1gs2pxCtF2xOIVovxGuO1gs2pxCtV9niEFtq4+GHH2aPPfZgl112WeGxddddl3PPPReA//mf/0lcJnVet27x/tgmWnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9yhaH2FIbc+fOZYsttmh9uaysjLq6utaXKyoqGDFiBPfee28h8qROKS2Nd4iP1hytF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2xOIVqvssWvHqmNPn36tBtar7XWWsycObPdPqWlpSxYsCB1miRJkiRJklSUHGJLbWy22Wa88cYbrS8PHjyYhx56iDfffBOAOXPm8Pe//52NN964UImSJEmSJElSUXGILbWx++678+ijjzJ//nwADj/8cD788EO+9KUvceCBB/K5z32O2tpaDjvssAKXSh+tvr6x0AmdFq05Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XmWLQ2ypjUMPPZQrr7ySkpKlT41dd92V3/zmN2y44Ya8/PLL9O3bl5/85CccfPDBBS6VPlpjY3OhEzotWnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9yhZvCyq10aNHD4YMGdJu2xe+8AW+8IUvFKhI+vgqK8tZvLih0BmdEq05Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XmWLZ2JLbYwfP55zzz230BnSJ6KkJFfohE6L1hytF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2xOIVqvssUhttTGtGnTaG72z1skSZIkSZKkrHCILbWxxRZbMHPmzEJnSJIkSZIkSfp/DrGlNsaNG8c999zDK6+8UugU6T8W8Vpj0Zqj9YLNKUTrBZtTiNYL8Zqj9YLNKUTrBZtTiNYL8Zqj9YLNKUTrVbZ4Y0epjY033phddtmFgw8+mLFjxzJo0CBqamrI5Va8btPOO+9cgEJp9TU35wud0GnRmqP1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1gs0pROtVtjjElto47LDDyOVy5PN5Lr/88g6H1y2ef/75hGVS51VVVVBXV1/ojE6J1hytF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2xOIVqvssUhttTGscceu8rBtRRJxC/laM3ResHmFKL1gs0pROuFeM3ResHmFKL1gs0pROuFeM3ResHmFKL1KlscYkttfOc73yl0giRJkiRJkqQ2vLGj1MZjjz3G22+/vcp93nnnHR577LFERZIkSZIkSVJxc4gttTF+/HhuuummVe5zyy23MH78+ERF0sdXVxfvzs/RmqP1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1gs0pROtVtjjEltrI5z/6TrnNzc1eN1shrM7Xc9ZEa47WCzanEK0XbE4hWi/Ea47WCzanEK0XbE4hWi/Ea47WCzanEK1X2eIQW+qkGTNm0LNnz0JnSB+purqi0AmdFq05Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XmWLN3ZU0fvRj37U7uW7776bmTNnrrBfc3Mz77zzDo8//jh77LFHqjxJkiRJkiSpqDnEVtG7+eabW/87l8vx/PPP8/zzz3e4by6XY9CgQSsMviVJkiRJkiR1DYfYKnp33303sPTaTKNGjeLwww/v8MaNpaWl9OrVi+rq6tSJkiRJkiRJUtHK5b2qutTq5ptvZptttmHgwIGFTlnj1NYuIOrR5oX3FnDYVU9x5bihDFzP66FLkiRJklRscjmoqXEmUCieiS21MXr06A635/N5ZsyYQbdu3dhggw0SV0kfTy6XC3f352jN0XrB5hSi9YLNKUTrhXjN0XrB5hSi9YLNKUTrhXjN0XrB5hSi9SpbSgodIGXJnXfeyUknncS8efNat7311lt86Utf4gtf+AJ77bUX3/ve92hqaipgpbR6qqrKC53QadGao/WCzSlE6wWbU4jWC/Gao/WCzSlE6wWbU4jWC/Gao/WCzSlE61W2OMSW2rjmmmt4/vnn6d27d+u2iRMn8vLLL7Prrruy9dZbc8cdd3DjjTcWsFKSJEmSJEkqHl5ORGrjlVdeYY899mh9eeHChdx///3su+++/OY3v6GhoYHRo0dz4403cvDBBxewVFpR7cIl1H5Y3/pyZWU5ixc3tL5c072Cmh7dCpEmSZIkSZL0sTnEltqYN28eNTU1rS8/8cQTNDY2st9++wFQXl7OiBEj+Otf/1qoRGmlbpr2DpOmvLHSx48avglHj9gsXdDHEO3yaNF6weYUovWCzSlE64V4zdF6weYUovWCzSlE64V4zdF6weYUovUqWxxiS2306NGDDz74oPXlRx99lJKSEoYNG9a6raysjLq6ugLUSas2ZvAG7NG/LwDTZy/i1Ntf5IwvbM1mfauBpWdiZ11dXf1H75Qh0XrB5hSi9YLNKUTrhXjN0XrB5hSi9YLNKUTrhXjN0XrB5hSi9SpbvCa21MYWW2zBvffey9y5c5k/fz5/+9vf2G677dpdI/vtt9+mb9++BayUOlbToxsD1+vJwPV6tg6uN+tb3botwqVESkpyhU7olGi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9YHMK0XqVLQ6xpTYOO+ww3n//ffbcc08+/elPM2vWLL761a+22+eZZ55h4MCBBSqU1myVlbHuVh2tF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2xOIVqvssXLiUhtfO5zn+OnP/0pN9xwAwD77bcfY8aMaX186tSpLFy4kN13371QiZIkSZIkSVJRcYgtLefQQw/l0EMP7fCxXXbZhcceeyxxkSRJkiRJklS8vJyI1MYFF1zwkUPqxx9/nAsuuCBRkVRcmptj3a46Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XmWLQ2ypjQsuuIBHH310lfs89thj/O53v0tUJBWXxYsbCp3QKdF6weYUovWCzSlE64V4zdF6weYUovWCzSlE64V4zdF6weYUovUqWxxiS53U0NBAaWlpoTOkNVJZWaxvS9F6weYUovWCzSlE64V4zdF6weYUovWCzSlE64V4zdF6weYUovUqW/zqkZaTy+VW+lh9fT2PP/44a6+9dsIiqXhUVMS6VUO0XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9yha/elT09t5773YvX3HFFdx0000r7Nfc3MzcuXNZsmQJX/nKV1LlSZIkSZIkSUXNIbaKXj6/7MYCuVyOfD7fbluLsrIyttxyS3bbbTe+/e1vp0yUJEmSJEmSipZDbBW9e+65p/W/Bw4cyOGHH85xxx1XwCKpeDU1NRc6oVOi9YLNKUTrBZtTiNYL8Zqj9YLNKUTrBZtTiNYL8Zqj9YLNKUTrVbY4xJbauPvuu+nVq1ehM6SitWRJY6ETOiVaL9icQrResDmFaL0QrzlaL9icQrResDmFaL0QrzlaL9icQrReZYs3dpTa2GijjejZsycAjY2NvPzyyzz11FO8/PLLNDZ6sJW6Wnl5aaETOiVaL9icQrResDmFaL0QrzlaL9icQrResDmFaL0QrzlaL9icQrReZYtnYkvL+eCDDzjnnHP429/+xpIlS1q3V1ZW8sUvfpHvf//79OnTp4CF0pqrvLyUhoamQmestmi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9YHMK0XqVLQ6xpTY++OADxo4dy4wZM+jduzc77bQT6667LrNmzeLZZ5/lT3/6E1OnTuW6665jrbXWKnSuJEmSJEmStMbzciJSG//7v//LjBkzmDBhAvfeey+XXXYZEydO5NJLL+Xee+/lqKOOYsaMGVx00UVd2nHxxRdz4IEHMnToUIYPH863v/1tXnvttXb7LFmyhNNPP51dd92VoUOH8p3vfIfa2tp2+7z99tscffTRDBkyhOHDh/OrX/1qhcuiPProo4wePZrtt9+ez372s9x0000r9Fx99dXstddeDBo0iK985StMmzbtk1+0JEmSJEmS1AGH2FIbd999N7vssgs/+MEPqK6ubvdYVVUVJ554Irvssgv/+Mc/urRj6tSpfO1rX+P666/n8ssvp7GxkQkTJrBo0aLWfX75y19y7733cu6553LllVfy/vvvc9xxx7U+3tTUxDe/+U0aGhq49tprOeuss7j55ps5//zzW/d58803+eY3v8muu+7Kn//8Zw4//HB+8pOf8OCDD7buc9tttzFx4kSOPfZYbr75ZgYOHMiECROYPXt2l34MVJwaG2P9aVm0XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9yhaH2FIb77//PkOHDl3lPkOHDuX999/v0o7LLruMMWPGsNVWWzFw4EDOOuss3n77bf79738DsGDBAm688UZ++MMfMnz4cLbffnt++ctf8tRTT/H0008D8NBDD/HKK6/w61//mm222YY999yT7373u1x99dXU19cDcO2119KvXz9++MMf0r9/f8aNG8fnPvc5/vCHP7S2XH755Rx88MEceOCBbLnllpx++ulUVlZy4403dunHQMWpvj7WDzXResHmFKL1gs0pROuFeM3ResHmFKL1gs0pROuFeM3ResHmFKL1KlscYktt9OzZk5kzZ65yn5kzZ9KzZ89ERUstWLAAgN69ewPw7LPP0tDQwIgRI1r36d+/PxtuuGHrEPvpp59mwIAB1NTUtO4zcuRIFi5cyCuvvNK6z/Dhw9u9r5EjR7a+jfr6ev7973+3ez8lJSWMGDGCp5566hNfp1RREetu1dF6weYUovWCzSlE64V4zdF6weYUovWCzSlE64V4zdF6weYUovUqW7yxo9TGzjvvzB133MGYMWPaDW5bTJkyhTvuuINRo0Yla2pubuaXv/wlO+64IwMGDACgtraW8vJyevXq1W7fvn37MmvWrNZ92g6wgdaXP2qfhQsXsnjxYubNm0dTUxN9+/Zd4f0sf43uj1JVVdH6342NTdTXN1FRUUpZ2bJvYg0NTTQ0NNGtWxmlpcv+ja2+vpHGxmYqK8spKcm1bl+8uIHm5jxVVRXklm2mrq6BfD5PdfWy9wmwaFE9uVyOqqry1m35PNTV1VNSkqOyctn25uY8ixc3UFZW0rq9srKcbt3KWLKkkfLyUsrLl7VnbU0tKivLW1+n7ZoqKpYd/puamjOzpvLyUurr6z7W56lQayorW3Y2wSf9tdcVayopyVFf31Sw59PHWVN5eSllZU2ZPUYsv6bS0hLyeQr+fOrMmsrLSykpaSz486lza1r2/MvyMaJlTeXlpTQ0LC7486kza+rWraz1Y5zlY0SLluNboZ9PnVlTy/Gt8M+n1V9TRUVZu8bsHiOWHd9KS5sK/nzqzJqW//kiq8eItmvK5ZaeYZnlY0TbNVVWlrd+jLN8jGi7ppa1ZP0Y0bKmluNboZ9PnVnT0uZlLVk9Rvj7UzbWpPQcYkttHHfccdx///1MmDCBPffck5133pm+ffsye/Zspk6dygMPPEBlZSXHHntssqbTTz+dl19+mT/+8Y/J3mdXqKurbzdchaU/6Hb050RLljSusA2WfuNb2dvuyKJFK27P5/Mdbm9u7nh7Y2Nz6/tdvLihta3lG9zysrSmlre//GONjc00Nq64fxbW1PLDy8f5PBViTQ0NTR32fFJfe12xppaPcaGeTx9nTdXVFe3eXtaOEcuvqbq6IhPPpxars6bq6orW95XlY0SLfD7f4fMva8eItmuqrq4g///fCLN8jGixeHEDJSW5Fd53Fo8RLVqOb4V+PrX1UWta/viW1WPE6mzP2jGi7fGt5XWzfIxY/v0u35nFY0RbLc+/LB8jWixZ0khpackK7yOLx4i2yspKC/58auuj1rT88S2rx4j22zveP2vHCH9/Ktyacjno3r1bh4+r6znEltrYaqutuPTSS/nRj37Efffdx3333Ucul2v9pXOTTTZh4sSJbLXVVkl6fv7zn3Pfffdx1VVXsf7667dur6mpoaGhgfnz57c7G3v27Nmss846rftMmzat3durra0FaLdPy7a2+/To0YPKykpKSkooLS1d4SaOs2fPXuEMbkmSJEmSJKkrOMSWljNs2DDuvPNOnnjiCZ5//nkWLlxIjx492Gabbdhpp53I5br+z0fy+TxnnHEG//jHP7jyyivZeOON2z2+/fbbU15ezpQpU/jc5z4HwGuvvcbbb7/NDjvsAMAOO+zARRddxOzZs1svB/Lwww/To0cPttxyy9Z9HnjggXZv++GHH259GxUVFWy33XZMmTKl9RIqzc3NTJkyhXHjxnXV8lXEOvoX8iyL1gs2pxCtF2xOIVovxGuO1gs2pxCtF2xOIVovxGuO1gs2pxCtV9niEFvqQC6XY9iwYQwbNqwg7//000/nb3/7G//7v/9L9+7dW69h3bNnTyorK+nZsycHHnggZ511Fr1796ZHjx6ceeaZDB06tHUAPXLkSLbccktOOukkfvCDHzBr1izOPfdcvva1r1FRsfRPjg455BCuvvpqzj77bA488EAeeeQRbr/9di6++OLWliOPPJKTTz6Z7bffnsGDB3PFFVdQV1fHmDFjkn9ctOaL9kNNtF6wOYVovWBzCtF6IV5ztF6wOYVovWBzCtF6IV5ztF6wOYVovcoWh9jSSjQ2NvL666+3nom9+eabU1aW5ilzzTXXAHDYYYe12z5x4sTW4fEpp5xCSUkJxx9/PPX19YwcOZKf/exnrfuWlpZy0UUXcdpppzF27FiqqqoYPXo0xx9/fOs+G2+8MRdffDETJ05k8uTJrL/++px55pnsvvvurfvsu+++zJkzh/PPP59Zs2axzTbbcOmll3o5EXWJlhtnRhGtF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2xOIVqvssUhtrScDz74gHPOOYe//e1vLFmypHV7ZWUlX/ziF/n+979Pnz59urThxRdf/Mh9unXrxs9+9rN2g+vlbbTRRkyaNGmVb2fXXXfllltuWeU+48aN8/IhSqLtXaAjiNYLNqcQrRdsTiFaL8RrjtYLNqcQrRdsTiFaL8RrjtYLNqcQrVfZ4hBbauODDz5g7NixzJgxg969e7PTTjux7rrrMmvWLJ599ln+9Kc/MXXqVK677jrWWmutQudKkiRJkiRJazyH2FIb//u//8uMGTOYMGECxx57LNXV1a2P1dXV8b//+79MmjSJiy66iB/+8IcFLJUkSZIkSZKKg+fxS23cfffd7LLLLvzgBz9oN8AGqKqq4sQTT2SXXXbhH//4R4EKpTVbfX2s66NF6wWbU4jWCzanEK0X4jVH6wWbU4jWCzanEK0X4jVH6wWbU4jWq2xxiC218f777zN06NBV7jN06FDef//9REVScWlsbC50QqdE6wWbU4jWCzanEK0X4jVH6wWbU4jWCzanEK0X4jVH6wWbU4jWq2xxiC210bNnT2bOnLnKfWbOnEnPnj0TFUnFpbKyvNAJnRKtF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2xOIVqvssUhttTGzjvvzB133MHDDz/c4eNTpkzhjjvuYJdddklcJhWHkpJcoRM6JVov2JxCtF6wOYVovRCvOVov2JxCtF6wOYVovRCvOVov2JxCtF5lizd2lNo47rjjuP/++5kwYQJ77rknO++8M3379mX27NlMnTqVBx54gMrKSo499thCp0qSJEmSJElFwSG21MZWW23FpZdeyo9+9CPuu+8+7rvvPnK5HPl8HoBNNtmEiRMnstVWWxW4VJIkSZIkSSoODrGl5QwbNow777yTJ554gueff56FCxfSo0cPttlmG3baaSdyOf/8Reoqixc3FDqhU6L1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1gs0pROtVtjjEljqQy+UYNmwYw4YNK3SKVFSam/OFTuiUaL1gcwrResHmFKL1QrzmaL1gcwrResHmFKL1QrzmaL1gcwrRepUt3thRWom5c+cyZcoU/vGPfzBlyhTmzp1b6CRpjVdVVVHohE6J1gs2pxCtF2xOIVovxGuO1gs2pxCtF2xOIVovxGuO1gs2pxCtV9nimdjSct566y1+8YtfcP/997deCxuWnp396U9/mlNOOYV+/foVsFBac0W7Wk+0XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XrA5hWi9yhaH2FIbb7zxBl/96leZPXs2m266KTvuuCM1NTXU1tby1FNPcc899/DMM89w7bXXsvHGGxc6V5IkSZIkSVrjOcSW2jjnnHOYM2cOp59+OgcffHC7mzjm83muu+46Tj/9dH79619z/vnnF7BUkiRJkiRJKg4OsaU2pkyZwl577cXYsWNXeCyXy3HIIYdw//33M2XKlALUSWu+urpYd6uO1gs2pxCtF2xOIVovxGuO1gs2pxCtF2xOIVovxGuO1gs2pxCtV9nijR2lNpqamthyyy1Xuc+AAQNoampKVCQVl7bXoY8gWi/YnEK0XrA5hWi9EK85Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XmWLQ2ypje22245XXnlllfu8/PLLbL/99omKpOJSXR3rbtXResHmFKL1gs0pROuFeM3ResHmFKL1gs0pROuFeM3ResHmFKL1KlscYkttnHDCCTzwwAP86U9/6vDx6667joceeogTTjghbZgkSZIkSZJUpLwmtoraBRdcsMK2XXfdlZ/+9Kf8/ve/Z8cdd6Smpoba2lqefPJJpk+fzsiRI5kyZQo77rhjAYqlNUvtwiXUfljf+nJlZTmLFy+7TlpN9wpqenQrRFqHovWCzSlE65UkSZKkaBxiq6h1NMRu8frrr/P666+vsP3BBx/koYce4thjj+3KNKko3DTtHSZNeWOljx81fBOOHrFZuqCPEK0XbE4hWq8kSZIkReMQW0Vt8uTJhU6QitqYwRuwR/++AEyfvYhTb3+RM76wNZv1rQaWnsGaJdF6weYUovV2ZNGi+o/eKWOiNUfrhXjN0XrB5hSi9YLNKUTrhXjN0XrB5hSi9SpbHGKrqO2yyy6FTpCKWk2PbitcZmGzvtUMXK9ngYpWLVov2JxCtN6O5HK5cHeLj9YcrRfiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNarbPHGjpIkSUWuqqq80AmdFq05Wi/Ea47WCzanEK0XbE4hWi/Ea47WCzanEK1X2eIQW5IkSZIkSZKUWQ6xJUmSJEmSJEmZ5RBbkiSpyEW8NGG05mi9EK85Wi/YnEK0XrA5hWi9EK85Wi/YnEK0XmWLQ2xJkqQiV1cX707x0Zqj9UK85mi9YHMK0XrB5hSi9UK85mi9YHMK0XqVLQ6xJUmSilxJSa7QCZ0WrTlaL8RrjtYLNqcQrRdsTiFaL8RrjtYLNqcQrVfZ4hBbkiSpyFVWxrtTfLTmaL0QrzlaL9icQrResDmFaL0QrzlaL9icQrReZUtZoQOkLKurq+Ovf/0rr732Grlcjv79+/PFL36RysrKQqdJkiRJkiRJRcEhtrQS06ZN45hjjmHOnDn06dOH+vp6Fi5cyHnnnccll1zCNttsU+hESZIkSZIkaY3n5USklTjttNMYMGAA9913Hw8//DCPP/44V199Nfl8ntNPP73QeZIkfWKam+PdKj5ac7ReiNccrRdsTiFaL9icQrReiNccrRdsTiFar7LFIbaK3q233trh9hdffJGjjz6a9dZbr3XbTjvtxL777stzzz2XKk+SpC63eHFDoRM6LVpztF6I1xytF2xOIVov2JxCtF6I1xytF2xOIVqvssUhtoreySefzLe+9S3ee++9dtvXW2897rvvvnbbFi1axKOPPsr666+fsFCSpK5VVhbvR8JozdF6IV5ztF6wOYVovWBzCtF6IV5ztF6wOYVovcoWv3pU9G6++Wbmzp3Lvvvuy9VXX926/bjjjuOKK67gC1/4At/73vc49thj+cxnPsOLL77IscceW8BiSZI+WRUV8W6TEq05Wi/Ea47WCzanEK0XbE4hWi/Ea47WCzanEK1X2eIQW0Vvq6224tprr+W73/0u//3f/80hhxzCq6++ypgxY/jjH//IwIEDmT59Om+//TYjR47kuuuu48tf/nKhsyVJkiRJkqSi4D+BSEAul2P8+PGMGjWK0047jQMOOICjjz6ab33rW/zP//xPofMkSZIkSZKkouWZ2FIbG264IZdccgm//OUvueaaa/jyl7/Mk08+WegsSZK6VFNTc6ETOi1ac7ReiNccrRdsTiFaL9icQrReiNccrRdsTiFar7LFIbbUgf33359bb72V7bffnnHjxnH66aezcOHCQmdJktQllixpLHRCp0VrjtYL8Zqj9YLNKUTrBZtTiNYL8Zqj9YLNKUTrVbY4xJaAf//735x22ml885vf5LTTTuO5556jT58+nH322VxyySU8+OCD7Lffftx9992FTpUk6RNXXl5a6IROi9YcrRfiNUfrBZtTiNYLNqcQrRfiNUfrBZtTiNarbHGIraJ3zz33cPDBB3Pbbbcxd+5cbr/9dr7yla9w3333ATBy5Ej+9re/8fnPf57jjz+e7373u8yePbuw0ZIkfYIi/kIRrTlaL8RrjtYLNqcQrRdsTiFaL8RrjtYLNqcQrVfZ4hBbRe/888+nf//+3HPPPVx//fXcc8899O/fn/POO691n8rKSn70ox9xzTXX8Prrr/OFL3yhgMWSJEmSJElS8XCIraI3Y8YMRo4cSY8ePQDo3r07I0eOZMaMGSvsO3jwYG6++WYmTJiQOlOSJEmSJEkqSg6xVfQ23XRTpkyZwuLFiwFYvHgxDz/8MBtvvHGH+5eWlvLNb34zZaIkSV2qsbGp0AmdFq05Wi/Ea47WCzanEK0XbE4hWi/Ea47WCzanEK1X2VJW6ACp0L7zne9w3HHHseeee7L55pszffp05s2bx29/+9tCp0mSlER9fbxfKKI1R+uFeM3ResHmFKL1gs0pROuFeM3ResHmFKL1KlscYqvo7b333lx33XXccMMNvPvuu+yzzz4cdNBBDB48uNBpkiR1idqFS6j9sL715fLyUhoalv1SUdO9gpoe3QqRtlLRmqP1QrzmaL0Qs3l5FRWloYYQ0XrB5hSi9UK85mi9YHMK0XqVLQ6xJZZe69qhtSSpWNw07R0mTXljpY8fNXwTjh6xWbqg1RCtOVovxGuO1gsxm5cfvFdWlrN4cUPry1kbvEfr7UhZWbwhT7TmaL0QrzlaL9icQrReZYtDbEmSpCIzZvAG7NG/LwDTZy/i1Ntf5IwvbM1mfauBpUOerInWHK0X4jVH64WYzdEG79F6JUnS6nGILa3CnDlzmDZtGosWLaJfv34MGjSIXC5X6CxJkv4jNT26rXAm4mZ9qxm4Xs8CFX20aM3ReiFec7ReiNkcbfAerVeSJK0eh9gqerfccgsDBw5k4MCBrdvy+Txnn302V155JU1Ny/7UZbPNNuPXv/4122+/fSFSJUmSpKSiDd6j9Xak7XXSo4jWHK0X4jVH6wWbU4jWq2wpKXSAVGg//OEPueuuu9pt+9WvfsXll19Or169OOiggzjqqKPYeeedef3115kwYQLvvfdegWolSZIkrckiDnmiNUfrhXjN0XrB5hSi9SpbPBNbWs57773HVVddRf/+/bniiiuoqalpfeyKK65g4sSJ/OEPf+Dkk08uYKUkSZKkNVG3bmUsWdJY6IxOidYcrRfiNUfrBZtTiNarbPFMbGk5jzzyCE1NTZx44ontBtgAhx9+ONtuuy0PPPBAgeokSZIkrclKS+P9mh6tOVovxGuO1gs2pxCtV9niV4+0nJZLheywww4dPj5kyBDefvvthEWSJEmSJElS8XKILS2nW7elN4Kprq7u8PGqqiqam5tTJkmSJEmSJElFy2tiS8DUqVO54IILAJg+fToAM2fOpH///ivs+95777HWWmslrJMkSZJULOrr410vNlpztF6I1xytF2xOIVqvssUhtsTSIfbUqVPbbbv33ns7HGI/++yzbL755qnSJEmSJBWRxsZ4f/UZrTlaL8RrjtYLNqcQrVfZ4hBbRW/y5Mkdbl977bVX2Pbvf/+bhoYGRo4c2dVZyoBF9U388Ym3uP6pmQAcf+O/OHjoRhy6Uz+qK0oLXCdJkqQ1UWVlOYsXNxQ6o1OiNUfrhXjN0XrB5hSi9SpbHGKr6O2yyy6rve92223HPffc04U1yopF9U1887pneGnWQprzS7fNrWtk0pQZ3P/KbC4eO8RBtiRJkj5xJSW5Qid0WrTmaL0QrzlaL9icQrReZYs3dpSkDvzxibfaDbBbNOfhpVkL+eMTbxUmTJIkSZIkqch4Jra0nIaGBt58800WLFhALpejb9++bLTRRoXOUmI3T3tnhQF2i+b80se/MXzTtFGSJEmSJElFyCG29P9uu+02rrnmGp566imampraPbbWWmux3377cdRRR7HeeusVqFAp1X5Y/x89LkmSJH0cEa8XG605Wi/Ea47WCzanEK1X2eLlRFT0mpubOeGEEzjxxBN57LHHaGxsJJ/Pk8/n2WCDDdhyyy358MMPueqqq9h///2ZMmVKoZOVQE33iv/ocUmSJOnjaF7ZnwNmWLTmaL0QrzlaL9icQrReZYtDbBW9yZMnc8cdd7DXXntxyy238Pjjj3PLLbcwatQoFi5cyLnnnsvjjz/O2WefTXl5Od/+9rd58803C52tLjZ68Aas7J4TJbmlj2fRovomLp0yg+Nv/BcAx9/4Ly6dMoNF9U0f8ZqSJEnKgqqqeCdLRGuO1gvxmqP1gs0pROtVtjjEVtG78cYbGTBgAL/97W8ZOHAgPXr0YODAgZx33nmsv/76/PrXv6aiooIvfelLTJ48maamJi655JJCZ6uLHbpTPwas02OFQXZJDgas04NDd+pXmLBVWFTfxDeve4ZJU2Ywt64RgLl1jUyaMoNvXveMg2xJkqQAcis5kSLLojVH64V4zdF6weYUovUqWxxiq+i98cYbjBgxgpKS9k+H0tJShg8fzuOPP966rX///nzmM5/hn//8Z+pMJVZdUcrFY4dw1PBN6VO19PYBfarKOGr4plw8dgjVFaUFLlzRH594i5dmLVzhhpTNeXhp1kL++MRbhQmTJEmSJEn6DzjEVtGrqKhg/vz5HT62YMGCFW7yuNlmmzFr1qwUaSqw6opSvjF8U84/cBAA5x84iG8M3zSTA2yAm6e9s8IAu0VzfunjkiRJkiRJ0TjEVtHbbrvt+Mc//sG7777bbvu7777LP/7xDwYMGNBu+wcffED37t1TJkqrpfbD+v/o8UKJdh3vaL1gcwrResFmScqqurqGQid0WrTmaL0QrzlaL9icQrReZUsun897a1AVtQceeICjjz6a3r17c/DBB7PRRhvx1ltvccMNNzBv3jzOPvts9t9//9b9x4wZQ3V1NVdddVUBq+OprV1A1KPNC+8t4LCrnuLKcUMZuF7PQues1H4XP8L7C1c+qF63RwW3fnO3hEUfreU63stfBqXl2uNZu3RLtF6wOYVovWBzKovqm/jjE29x/VMzmVvXSJ+qMg4euhGH7tQvc60tojVH6wWbU4jWK0mKIZeDmprszgTWdJ6JraK3xx57cMopp1BXV8ekSZM4/fTTufTSS1mwYAHHHHNMuwH2woUL2W677Rg3blwBi6WOjR68wQo3omxRklv6eNZEu453tF6wOYVovWBzChFvthutOVov2JxCtN6OVFdXFDqh06I1R+uFeM3ResHmFKL1KlvKCh0gZcH48eP5/Oc/zwMPPEBtbS19+vThU5/6FP369Wu3X48ePTjjjDMKVCmt2qE79eP+V2av9CzFQ3fqt/JXLpDVuY73N4ZvmjZqFaL1gs0pROsFm1NYnaF7lnohXnO0XrA5hWi9LVrOHr952jvUflhPTfcKRg/eINNnj0drjtYLMZslqas4xJb+37rrrstBBx1U6AzpY6uuKOXisUNC/flstOt4R+sFm1OI1gs2pxBt6A7xmqP1gs0pROuFji+X9P7CeiZNmcH9r8zO7OWSIjVH64W4zQ7dJXUVh9iS1IHahUtaByLTZy9q9/8ANd0rqOnRrSBtK9PSPHKLtenXu5JTb3+R73+6P5v1reaNuYsy2VzTvWKV1/Gu6Z6tPzeL1gs2pxCtF2xOIdrQHeI1R+sFm1OI1gswacp0Xnx/IcvP3pvz8OL7C5k0ZTrf3bN/QdpWJlpztF6I1/zm3Dq+f/OzzJhb19r8/sJ6Lnl4Bn9//n1+M3p7Nu5TVdDG5bX9nQ+gsrKcxYuX3Xgwi78/RWuO1qtsc4gtabVcffXVXHbZZcyaNYuBAwdy6qmnMnjw4EJndZmbpr3DpClvtNt26u0vtv73UcM34egRmyWuWrWIzfsMXIerH5+5wg/nALn/fzxLovWCzSlE64Wl18ifNGVGh2crZvUa+tGaow3dIV5ztF6wOYVovQA3PfNOh99DAPL//3iWhpUQrzlaL8Rr/sWdLzF9bt0K2/PA9Ll1/OLOl7ho7JD0YavQ0e9PbWXx96dozdF6lW0OsSV9pNtuu42JEydy+umnM2TIEK644gomTJjAHXfcQd++fQud1yXGDN6APfovW1sulyOfX/ZjZBZ/AYrYXFZSssofzstKsnX/4Wi9YHMK0Xoh5jX0ozVHG7pDvOZovWBzCtF6Aeoamv+jxwshWnO0XojXPH3Oov/o8UJo+/vT9NmLOPX2FznjC1uzWd9qIJu/P0VrjtarbHOILekjXX755Rx88MEceOCBAJx++uncd9993HjjjRx99NEFrusaNT26tfuzpurqChYtyt6fn7YVsXns0A351OZrc/vz73Hvy7V8UNfIWlVlfGarGr6wzXr0W6uy0IntROsFm1OI1gsxr6EfrTna0B3iNUfrBZtTiNYLsE6PVZ89vk6P7A15ojVH64V4zXPrGv6jxwth+d+fADbrW83A9XoWqOijRWuO1qtsy+XbnqYnScupr69nhx124Pzzz2fUqFGt208++WTmz5/PhRdeuFpvp7Z2AZGPNhEGwsuzuetF6wWbU4jW+8J7Czjsqqe4ctzQML9QRGluucFVhKF7i2jN0XrB5hSi9V46ZcYqzx4/avimmbsZZbTmaL0Qr3m/ix9Z5dB93R4V3PrN3RIWrZ5ox4u2ovw81CJab0dyOaipidm+JvBMbEmrNHfuXJqamla4bEjfvn157bXXVvvtVFUtO1OgsbGJ+vomKipKKStb9oNBQ0MTDQ1NdOtWRmnpsj+/r69vpLGxmcrKckpKcq3bFy9uoLk5T1VVBbllm6mrayCfz1Nd3f7shEWL6snlclRVlbduy+ehrq6ekpIclZXLtjc351m8uIGyshIqKsooLy+lurqCpqZmlixppLy8lPLyZe1ZXFMuR7v9l19TiyytqeX9f9zPU+o1tXxdrGpN8J997X3Sa2pZRyGfT51dU8vHOcvHiLZrAjLxfFrdNbWsq2UdWT5GtF0TLP06rq6uyOwxom/vKo7feytGbbseX7l0Kr89aDBbr9sj08eIsrJGvjF8U/YauC5jf/8Yl3xtR7bdoFdmjxHV1RXtPsbnHziIIZv0yfwx4pg9tmhtvuRrOzJgne6ZPUYAVFfDcZ/ZkpFbrM1hVz3V+nWxup+n1Gvq3q2s3dfFxYfuyOZrVWbuGNGypgm7b86Dr83hhfcWrHD2+MD1enLoTv0yc4xoWdPXP7XZKpsn7L451RVlBT9GtKxpwu6b88Crs3nx/RXP0N963aVn6GflGNGypo/6upiw++aU53KZOEYAfGXHflz44GsrHbofNHSjdm+/0D9HVFWV82F9I8dc/VS7j/HcukYmTZnBg6/N4fLDdqSkOV/wY8TK1tT245+1Y0RHa2rR8vPb6n6esrompecQW1ISdXX1K5yJXV+/9JvH8pYsaezwbbT9xrf82+5IR2dC5vP5Drc3N3e8vbGxmcbGeqqqKtq9n5ZvcMvL1po6fjsta1peFtbU8o8dH/fztLyuXlN9fVOH6/okv/aW95+uqeVjXMjn0/I+ak3LP/+yeIxoq6qqIhPPpxYdrantneKnz156jcqX3plPff3Sjo7uFF/oNXXU/MLMea1vr6U5K8eI2oVLqH1vQbve12s/bL1XwfIf4ywcI1brY7zCW1iqEMeIt+csWqG35f9be9t8jLNwjFjdr+PlFfK4t7rNhT5GtOio98W357Fkyco/xoX+2SgHXPiVwas8GzQLx4i2Sprzq2zONTazqM37L/TPRjngooNXfUmqLBwj2q7po74uco3NtBRn4Wejg4dswN0vvL/SS/mM3WHDDt9OIX82umzKjBX+kQCgOb/0rOHf/3M63xi+acGPEctrWVPb18vaMWJla2p5bPmmQh8j2lrVmnI56N59xe/TSsPLiUhaJS8nIklrnksenh7uTvHRmqP1QrzmaL1gcwrRepcX8c/tozVH64U4zdEuzRH1EigtonxdtIjW2xEvJ1JYnoktrcLee+/N4Ycfzvjx4wudUjAVFRVst912TJkypXWI3dzczJQpUxg3blyB69IpKcnR3NHfxmWYzV0vWi/YnEKE3rZ3igfIleTIt2nO4p3iozVH64V4zdF6weYUovVKa5LqilK+MXzT1ksPnX/goEwPK1v+auPjPi4pLYfY0irMnDmT+fPnFzqj4I488khOPvlktt9+ewYPHswVV1xBXV0dY8aMKXRaMpWV5aFu1AY2pxCtF2xOIULv8neKj3AzymjN0XohXnO0XrA5hWi9kgqnpnvFKs/Ezuo/erU94x3g+Bv/lekz3qVPikNsSR9p3333Zc6cOZx//vnMmjWLbbbZhksvvZSampVdGVOSJEmSpOwaPXgDJk2ZsdKbUY4evEH6qI+wqL6Jb173TLtrj7fcjPL+V2Zz8dghDrK1xnKILWm1jBs3rqguHyJJkiRJWnMdulM/7n9l9kpvRnnoTv0KF7cSf3zirRV6YenNKF+atZA/PvEW3xi+aWHiVsIzx/VJKSl0gCRFkPXr23bE5q4XrRdsTiFaL9icQrReiNccrRdsTiFar6R0qitKuXjsEI4avil9qpae49mnqoyjhm+a2TOab572TodnjsPSQfbN095JG/QRWs4cnzRlBnPrGoFlZ45/87pnWFTfVOBCReKZ2NL/u+CCCzrcPnXq1BUey+VyHHvssSmylBGLFzcUOqHTbO560XrB5hSi9YLNKUTrhXjN0XrB5hSi9UpKy5tRdq2IZ44ruxxiS/9vVUPsqVOnttvmELv4lJWV0NjYXOiMTrG560XrBZtTiNYLNqcQrRfiNUfrBZtTiNYrSasS7WaUq3PmuENsrS6H2NL/u/vuu9u9nM/nGTVqFIcffjjjx48vUJWyoqKijMbGbP2r9kexuetF6wWbU4jWCzanEK0X4jVH6wWbU4jWK0mrEu1mlNHOHFe2OcSW/t9GG23U4faePXuu9DFJkiRJkqQUot2MMtqZ48o2b+woSZIkSZIkZVy0m1GOHrwBJbmOH8vimePKNofYkrQampriXUvR5q4XrRdsTiFaL9icQrReiNccrRdsTiFaryR9lJabUZ5/4CAAzj9wEN8YvmnmBtiw9MzxAev0WGGQndUzx5VtDrElaTUsWdJY6IROs7nrResFm1OI1gs2pxCtF+I1R+sFm1OI1itJa5JoZ44r2xxiS6swceJERo0aVegMZUB5ebxvrjZ3vWi9YHMK0XrB5hSi9UK85mi9YHMK0XolaU0T6cxxZZtDbGkVRo8ezcCBAwudoQyI+AuQzV0vWi/YnEK0XrA5hWi9EK85Wi/YnEK0XkmS1DGH2JIkSZIkSZKkzHKILUmSJEmSJEnKLIfYkrQaGhubCp3QaTZ3vWi9YHMK0XrB5hSi9UK85mi9YHMK0XolSVLHHGJL0mqor4/3C5DNXS9aL9icQrResDmFaL0QrzlaL9icQrReSZLUMYfYkrQaKgLeOdnmrhetF2xOIVov2JxCtF6I1xytF2xOIVqvJEnqmENsSVoNZWXxfgGyuetF6wWbU4jWCzanEK0X4jVH6wWbU4jWK0mSOuYQW5IkSZIkSZKUWWWFDpCy6sMPP2T69OnU1dUxbNiwQudIkiRJWgPVLlxC7Yf1AEyfvajd/wPUdK+gpke3grStTLTmaL0Qrzlar6R4HGJLy3nrrbf4xS9+wQMPPEBzczO5XI7nnnsOgCeeeIJTTz2Vn/3sZ+y6664FLlVKDQ3xbgpkc9eL1gs2pxCtF2xOIVovxGuO1gs2pxCh96Zp7zBpyhvttp16+4ut/33U8E04esRmiatWLVpztF6I1xytV1I8DrGlNt5++23Gjh3LBx98wN57782sWbN4+umnWx8fMmQIc+fO5dZbb3WIXWQi/AK0PJu7XrResDmFaL1gcwrReiFec7ResDmFCL1jBm/AHv37rvTxmu4VCWtWT7TmaL0Qrzlar6R4HGJLbfz2t79l3rx5XHnlley4445ccMEF7YbYZWVlDBs2jCeffLJwkSqIbt3KWLKksdAZnWJz14vWCzanEK0XbE4hWi/Ea47WCzanEKG3pke3dpdZsPmTF60X4jVH65UUjzd2lNp48MEH+exnP8uOO+640n023HBD3nvvvYRVyoLS0niHS5u7XrResDmFaL1gcwrReiFec7ResDmFaL1gcwrReiFec7ReSdnnUUVqY968eWy00Uar3Cefz1NfX5+oSJIkSZIkSSpuDrGlNmpqapgxY8Yq93nppZfYYIMNEhVJkiRJkiRJxc0httTGiBEjuPfee3nhhRc6fPzxxx/nkUceYc8990xcpkKrr493PTebu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XknZ540dpTaOOeYY/v73vzNu3DgmTJjQelb2/fffz1NPPcUf/vAH+vTpw4QJEwpcqtQaG5sLndBpNne9aL1gcwrResHmFKL1QrzmaL1gcwrResHmFKL1QrzmaL2Sss8zsaU2+vXrx2WXXUavXr0477zz+Nvf/kY+n+db3/oWF110EWuvvTaXXHIJ6667bqFTlVhlZXmhEzrN5q4XrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrVdS9nkmtrScIUOGcOedd3LvvffyzDPPMG/ePHr06MHgwYPZe++9qaioKHSiCqCkJFfohE6zuetF6wWbU4jWCzanEK0X4jVH6wWbU4jWCzanEK0X4jVH65WUfQ6xpQ6UlZXx2c9+ls9+9rOFTpEkSZIkSZKKmpcTkdoYP348t9xyyyr3+fOf/8z48ePTBEmSJEmSJElFziG21MbUqVN56623VrnP22+/zWOPPZaoSFmxeHFDoRM6zeauF60XbE4hWi/YnEK0XojXHK0XbE4hWi/YnEK0XojXHK1XUvY5xJY6qa6ujrIyr8RTbJqb84VO6DSbu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XknZ5yRORe/tt99u9/KCBQtW2AbQ1NTEu+++y9///nc22mijVHnKiKqqCurq6gud0Sk2d71ovWBzCtF6weYUovVCvOZovWBzCtF6weYUovVCvOZovZKyzyG2it5ee+1FLrf0zsm5XI7JkyczefLkle6fz+c56aSTUuUpI3IBb65tc9eL1gs2pxCtF2xOIVovxGuO1gs2pxCtF2xOIVovxGuO1isp+xxiq+gdcMAB5HI58vk8t9xyCwMHDmSbbbZZYb+SkhJ69+7Nbrvtxh577FGAUkmSJEmSJKn4OMRW0TvrrLNa/3vq1KmMGTOG8ePHF7BIkiRJkiRJUguH2FIb99xzT6ETlFF1dfHurm1z14vWCzanEK0XbE4hWi/Ea47WCzanEK0XbE4hWi/Ea47WKyn7SgodIEkR5PPx7q5tc9eL1gs2pxCtF2xOIVovxGuO1gs2pxCtF2xOIVovxGuO1isp+zwTW1rOwoULufrqq3n44Yd5//33qa9f8Y7KuVyOu+66qwB1KpTq6goWLYp1d22bu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XknZ5xBbamPOnDkccsghvPHGG/To0YOFCxfSs2dPGhoaWLx4MQDrrrsuZWU+dSRJkiRJkqQUvJyI1MZvf/tb3njjDX71q1/x2GOPAXD44Yfz9NNPc/311zN48GA22mgjbr311gKXSpIkSZIkScXBIbbUxv3338/w4cP58pe/TC6Xa/fY4MGDmTRpEjNnzuSCCy4oUKEkSZIkSZJUXBxiS23MmjWLbbbZpvXl0tJSlixZ0vpy79692WOPPbj99tsLkacCing9N5u7XrResDmFaL1gcwrReiFec7ResDmFaL1gcwrReiFec7ReSdnnEFtqo2fPnjQ2Nra+3KtXL9599912+/To0YPZs2enTlOBLX9mfgQ2d71ovWBzCtF6weYUovVCvOZovWBzCtF6weYUovVCvOZovZKyzyG21MbGG2/MzJkzW1/edtttefjhh5k7dy4Aixcv5t5772WDDTYoVKIKpKqqvNAJnWZz14vWCzanEK0XbE4hWi/Ea47WCzanEK0XbE4hWi/Ea47WKyn7HGJLbXzqU59iypQp1NXVATB27Fhmz57Nl7/8ZY4//ni++MUv8sYbbzBmzJgCl0qSJEmSJEnFwSG21MYhhxzCmWee2TrE3meffTjppJOoq6vjzjvvpLa2liOOOIIJEyYUuFSSJEmSJEkqDmWFDpCyZN1112Xfffdtt+3rX/86hx9+OHPnzqVv375e26tI5fOFLug8m7tetF6wOYVovWBzCtF6IV5ztF6wOYVovWBzCtF6IV5ztF5J2ecQW1oNpaWl1NTUFDpDBVRXF+/u2jZ3vWi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9krLPIba0Es3NzdTW1tLY2Njh4xtuuGHiIhVSSUmO5uZYpxPY3PWi9YLNKUTrBZtTiNYL8Zqj9YLNKUTrBZtTiNYL8Zqj9UrKPofY0nL+/Oc/8/vf/55XX32VpqamDvfJ5XI899xzictUSJWV5SxaFOtsApu7XrResDmFaL1gcwrReiFec7ResDmFaL1gcwrReiFec7ReSdnnEFtq47LLLuOcc86hrKyMYcOGsc4661BW5tNEkiRJkiRJKhSnc1IbV111Feuttx7XXnst66+/fqFzJEmSJEmSpKJXUugAKUvmzJnDPvvs4wBbK4h4PTebu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XknZ5xBbamOzzTZj/vz5hc5QBi1e3FDohE6zuetF6wWbU4jWCzanEK0X4jVH6wWbU4jWCzanEK0X4jVH65WUfQ6xpTaOOOII7r77bmbOnFnoFGVMWVm8w6XNXS9aL9icQrResDmFaL0QrzlaL9icQrResDmFaL0Qrzlar6Ts85rYUhujR49m9uzZHHLIIRx66KEMHDiQHj16dLjvzjvvnLhOhVRRUUZjY6y7a9vc9aL1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1Sso+h9jSchYuXMjChQs5//zzV7nf888/n6hIkiRJkiRJKl4OsaU2zjvvPC6++GLWXntt9t13X9ZZZx3KynyaSJIkSZIkSYXidE5q48Ybb2SzzTbjhhtuoHv37oXOUYY0NTUXOqHTbO560XrB5hSi9YLNKUTrhXjN0XrB5hSi9YLNKUTrhXjN0XolZZ9X2pfamD9/Pp/+9KcdYGsFS5Y0Fjqh02zuetF6weYUovWCzSlE64V4zdF6weYUovWCzSlE64V4zdF6JWWfQ2ypjQEDBvD+++8XOkMZVF5eWuiETrO560XrBZtTiNYLNqcQrRfiNUfrBZtTiNYLNqcQrRfiNUfrlZR9DrGlNr71rW9x99138+9//7vQKcqYiD+E2dz1ovWCzSlE6wWbU4jWC/Gao/WCzSlE6wWbU4jWC/Gao/VKyj6viS21MX/+fEaMGMEhhxzCl7/8ZQYOHEiPHj063PeAAw5IGydJkiRJkiQVIYfYUhs//OEPyeVy5PN5brjhBgByuVy7ffL5PLlcziG2JEmSJEmSlIBDbKmNiRMnFjpBGdXY2FTohE6zuetF6wWbU4jWCzanEK0X4jVH6wWbU4jWCzanEK0X4jVH65WUfQ6xpTZGjx5d6ARlVH19vB/CbO560XrB5hSi9YLNKUTrhXjN0XrB5hSi9YLNKUTrhXjN0XolZZ83dpSk1VBREe/GJDZ3vWi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9krLPIbYkrYaysng/hNnc9aL1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1Sso+LyeiojZw4EBKSkq49dZb2XzzzRk4cOAKN3LsSC6X47nnnktQKEmSJEmSJBU3h9gqajvvvDMAVVVV7V6WJEmSJEmSlA0OsVXUrrzyylW+LLVoaIh3YxKbu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XknZ5zWxJWk1RPwhzOauF60XbE4hWi/YnEK0XojXHK0XbE4hWi/YnEK0XojXHK1XUvY5xJba2HvvvZk8efIq97n66qvZe++9u6zhrbfe4pRTTmGvvfZi8ODBjBo1ivPPP5/6+vp2+73wwgsceuihDBo0iD333JNJkyat8LZuv/12Pv/5zzNo0CD2339/7r///naP5/N5zjvvPEaOHMngwYM54ogjmD59ert9PvjgA0488UR23HFHhg0bximnnMKHH374ia8767p1i/eHKzZ3vWi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9krLPIbbUxsyZM5k/f/4q95k/fz5vv/12lzW89tpr5PN5fv7zn3Prrbfyox/9iGuvvZb/+Z//ad1n4cKFTJgwgQ033JCbbrqJk046iQsuuIDrrruudZ8nn3ySE088kYMOOohbbrmFvffem2OPPZaXXnqpdZ9JkyZx5ZVXctppp3H99ddTVVXFhAkTWLJkSes+//Vf/8Urr7zC5ZdfzkUXXcTjjz/OT3/60y5bf1aVlsY7XNrc9aL1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1Sso+jypSJy1YsICKiooue/t77LEHEydOZOTIkWy88cbsvffefP3rX+fOO+9s3ecvf/kLDQ0N/PKXv2SrrbZiv/3247DDDuPyyy9v3Wfy5MnsvvvufOMb36B///6ccMIJbLvttlx11VXA0rOwJ0+ezDHHHMOoUaMYOHAgZ599Nu+//z533XUXAK+++ioPPvggZ555JkOGDGHYsGH85Cc/4dZbb+W9997rso+BJEmSJEmS1MK/71DRe+yxx9q9PHPmzBW2ATQ1NfHuu+/y17/+lc022yxR3VILFiygd+/erS8//fTTDBs2rN0wfeTIkUyaNIl58+bRu3dvnn76aY444oh2b2fkyJGtA+q33nqLWbNmMWLEiNbHe/bsyZAhQ3jqqafYb7/9eOqpp+jVqxeDBg1q3WfEiBGUlJQwbdo0PvvZz3bRiiVJkiRJkqSlHGKr6B122GHkcjkAcrkct9xyC7fcckuH++bzeXK5HCeeeGKyvhkzZnDVVVdx8sknt26rra2lX79+7farqalpfax3797U1ta2bmvRt29famtrAZg1a1brtpXtU1tby9prr93u8bKyMnr37t36+qurqmrZwL2xsYn6+iYqKkopKytt3d7Q0ERDQxPdupW1+/Oz+vpGGhubqawsp6Qk17p98eIGmpvzVFVVkFu2mbq6BvL5PNXV7c+YX7SonlwuR1VVeeu2fB7q6uopKclRWblse3NznsWLGygrK6GiooySkhzV1RU0NTWzZEkj5eWllJcva8/imhobm9rtv/yaWmRpTS2v93E/T6nX1PJ1sao1wX/2tfdJr6mpqRmgoM+nzq6p5eOc5WNE2zXV12fj+dSZNbX8d9aPEW3X1Pb5l9VjRNs1lZTkyOVyBX8+dXZNLa1ZPkYseztLj2+Ffj51Zk0tH+NCP586s6ampuZ2byerx4iWNZWU5KiqqsjE82l117T8zxdZPka0fTtApo8RbdfU9mOc5WNE+zU1Fvz51Jk1Rfv9qUVlZXnr62T1GNHS1/bjn/VjxOLFDR1+jLN6jFidNSk9h9gqescee2zrL5W/+93v2Hnnndl1111X2K+kpITevXuz22670b9//06/n3POOafDmy+2ddttt7V72++99x7f+MY3+PznP8/BBx/c6feZJXV19e1+OACor1/6zWN5S5Y0dvg22n7jW/5td2TRohW35/P5Drc3N3e8vbGxmcbGFbe3fINbXpbWtLKWyGvK2udp4cIlHW6PvKY18fNUiDUBa9yasvZ56uj5F31Na+LnyTWteWtaWUvkNWXt89TR8S36mrL2eepoXRHWBBTV56kjXbmmlre//GNZXVPb14vyeWp5bPmmKF97uRx0796tw8fV9Rxiq+h95zvfaf3vqVOncuCBB3LAAQd84u/n61//OqNHj17lPhtvvHHrf7/33nuMHz+eoUOHcsYZZ7Tbr6ampvVs6RYtL7ecfd3RPrNnz259fJ111mndtu6667bbZ+DAga1vY86cOe3eRmNjI/PmzWt9/WLRcoZiJDZ3vWi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9krLPIbbUxpVXXtllb3vttdde4dIcK9MywN5uu+2YOHEiJSXt78G6ww47cO6559LQ0EB5+dI/o3n44YfZfPPNW6+dvcMOO/DII4+0uy72ww8/zA477ABAv379WGeddZgyZQrbbLMNAAsXLuSZZ57hq1/9KgBDhw5l/vz5PPvss2y//fYAPPLIIzQ3NzN48OCP/bGIKOKfDdnc9aL1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1Ssq+ko/eRSoe77zzDlOmTKGurq51W3NzM5dccgmHHHIIRxxxBPfdd1+XNrz33nscdthhbLDBBpx88snMmTOHWbNmtbsG9f777095eTk//vGPefnll7ntttuYPHkyRx55ZOs+48eP58EHH+T3v/89r776Kr/97W959tlnGTduHLD0mlnjx4/nwgsv5O677+bFF1/kpJNOYt1112XUqFEA9O/fn913351TTz2VadOm8cQTT3DGGWew3377sd5663Xpx0GSJEmSJEkCz8SW2jnvvPO49957eeihh1q3XXjhhfz2t79tffmxxx7jmmuu6bIzkf/5z38yY8YMZsyYwR577NHusRdffBGAnj17ctlll/Hzn/+cMWPG0KdPH7797W8zduzY1n133HFHzjnnHM4991x+85vfsNlmm/G73/2OAQMGtO5z1FFHUVdXx09/+lPmz5/PTjvtxKWXXkq3bsuu8XTOOedwxhlncPjhh1NSUsI+++zDT37yky5ZuyRJkiRJkrS8XD6//K3WpOK1zz77sO2223LuuecCS28k8KlPfYq11lqL3//+98yaNYsjjzyST33qU5x33nmFjQ2mtnbBCjd2jKSkJEdzc6wF2Nz1ovWCzSlE6wWbU4jWC/Gao/WCzSlE6wWbU4jWC/Gao/W+8N4CDrvqKa4cN5SB6/UsdM5qidYcrbcjuRzU1MRsXxN4ORGpjdmzZ7Phhhu2vvz8888zZ84cxo0bx/rrr8+gQYMYNWoU//rXvwpYqUKI9ANYC5u7XrResDmFaL1gcwrReiFec7ResDmFaL1gcwrReiFec7ReSdnnEFtqo7m5mbZ/nDB16lRyuRy77bZb67b11luP2traQuSpgKqqKgqd0Gk2d71ovWBzCtF6weYUovVCvOZovWBzCtF6weYUovVCvOZovZKyzyG21MaGG27ItGnTWl++6667WGedddhiiy1at82aNYtevXoVIk8FlAt4c22bu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XknZ540dpTb22WcfLrroIo4//ngqKip44okn+NrXvtZun1dffZV+/foVqFCSJEmSJEkqLg6xpTYmTJjAP//5T+68804Att56a77zne+0Pj5z5kymTZvG0UcfXahESZIkSZIkqag4xJba6NGjB9dffz0vvfQSAP3796e0tLTdPr/97W8ZNGhQIfJUQHV1DYVO6DSbu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XknZ5xBb6sCAAQM63L7RRhux0UYbJa5RFrS94WcUNne9aL1gcwrResHmFKL1QrzmaL1gcwrResHmFKL1QrzmaL2Sss8bO0odmDVrFldffTVnnnkmP/7xj1u3z5kzh2nTprF48eIC1qkQqqvj3V3b5q4XrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrVdS9jnElpZz9dVXs/fee3PGGWdw1VVXcdNNN7U+Nnv2bMaOHctf/vKXAhZKkiRJkiRJxcMhttTGPffcwxlnnMGAAQO48MIL+epXv9ru8a222oqtt96au+66q0CFkiRJkiRJUnHxmthSG5dddhkbbrghkydPprq6mn//+98r7DNgwAAef/zxAtRJkiRJkiRJxcczsaU2nn/+efbcc0+qq6tXus96663H7NmzE1YpCxYtqi90QqfZ3PWi9YLNKUTrBZtTiNYL8Zqj9YLNKUTrBZtTiNYL8Zqj9UrKPofYUhv5fJ6yslX/gcLs2bOpqPAmFcUml8sVOqHTbO560XrB5hSi9YLNKUTrhXjN0XrB5hSi9YLNKUTrhXjN0XolZZ9DbKmNzTffnCeeeGKljzc2NvL4448zYMCAhFXKgqqq8kIndJrNXS9aL9icQrResDmFaL0QrzlaL9icQrResDmFaL0Qrzlar6Tsc4gttbH//vvz3HPPccEFF6zwWFNTE7/61a948803OeCAA9LHSZIkSZIkSUXIGztKbYwbN4577rmH3/3ud/z1r39tvWzId7/7XZ599llmzpzJpz71KQ466KACl0qSJEmSJEnFwTOxpTbKy8u57LLLOProo/nggw94+eWXyefz/P3vf2fevHkcddRRXHjhhV7fqwjl84Uu6Dybu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnO0XknZ55nY0nIqKir43ve+xwknnMBrr73GvHnz6NGjB/3796e0tLTQeSqQurp4d9e2uetF6wWbU4jWCzanEK0X4jVH6wWbU4jWCzanEK0X4jVH65WUfQ6xpZXI5XL079+/0BnKiJKSHM3NsU4nsLnrResFm1OI1gs2pxCtF+I1R+sFm1OI1gs2pxCtF+I1R+uVlH1eTkSSVkNlZby7a9vc9aL1gs0pROsFm1OI1gvxmqP1gs0pROsFm1OI1gvxmqP1Sso+h9iSJEmSJEmSpMxyiC1JkiRJkiRJyiyviS1JqyHi9dxs7nrResHmFKL1gs0pROuFeM3ResHmFKL1gs0pROuFeM0RemsXLqH2w6U3oJw+e1G7/weo6V5BTY9uBWmTtCKH2JK0GhYvbih0QqfZ3PWi9YLNKUTrBZtTiNYL8Zqj9YLNKUTrBZtTiNYL8Zoj9N407R0mTXmj3bZTb3+x9b+PGr4JR4/YLHGVpJVxiC1Jq6GsrITGxuZCZ3SKzV0vWi/YnEK0XrA5hWi9EK85Wi/YnEK0XrA5hWi9EK85Qu+YwRuwR/++rS+XlpbQ1LSsuaZ7RSGyJK2EQ2ypk2bPns2sWbMYOHBgoVOUUEVFGY2N9YXO6BSbu160XrA5hWi9YHMK0XohXnO0XrA5hWi9YHMK0XohXnOE3poe3dpdLqS6uoJFi7LdLBUzb+yoorfNNtvwu9/9rt222267jeOOO67D/a+55hpGjx6dIk2SJEmSJEkqeg6xVfTy+Tz5fPubTrz22mvcfffdBSqSJEmSJEmS1MIhtiSthrbXRovC5q4XrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrRdiNkvFxCG2JK2GJUsaC53QaTZ3vWi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9ELNZKiYOsSVpNZSXlxY6odNs7nrResHmFKL1gs0pROuFeM3ResHmFKL1gs0pROuFeM3ReiFms1RMHGJL0mqI+AONzV0vWi/YnEK0XrA5hWi9EK85Wi/YnEK0XrA5hWi9EK85Wi/EbJaKiUNsSZIkSZIkSVJmlRU6QMqCq6++mttuu6315blz5wKw7777rrBvy2OSJEmSJEmSup5DbImlg+mOhtOvvfZah/vncrmuTlLGNDY2FTqh02zuetF6weYUovWCzSlE64V4zdF6weYUovWCzSlE64V4zdF6IWazVEwcYqvovfDCC4VOUAD19fF+oLG560XrBZtTiNYLNqcQrRfiNUfrBZtTiNYLNqcQrRfiNUfrhZjNUjHxmtiStBoqKuLd5MPmrhetF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2I2S8XEIbbUST/60Y/YdtttC52hxMrK4v1AY3PXi9YLNqcQrRdsTiFaL8RrjtYLNqcQrRdsTiFaL8RrjtYLMZulYuIQW/oY8vl8oRMkSZIkSZKkouAQW5IkSZIkSZKUWQ6xJWk1NDTEu8mHzV0vWi/YnEK0XrA5hWi9EK85Wi/YnEK0XrA5hWi9EK85Wi/EbJaKiUNsSVoNEX+gsbnrResFm1OI1gs2pxCtF+I1R+sFm1OI1gs2pxCtF+I1R+uFmM1SMXGILUmroVu3skIndJrNXS9aL9icQrResDmFaL0QrzlaL9icQrResDmFaL0QrzlaL8RsloqJQ2xJWg2lpfEOlzZ3vWi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9ELNZKib+M5OK3pAhQzq1f2NjYxeVSJIkSZIkSVqeQ2wVvb59+xY6QZIkSZIkSdJKOMRW0bvnnnsKnaAA6uvjnYFvc9eL1gs2pxCtF2xOIVovxGuO1gs2pxCtF2xOIVovxGuO1gsxm6Vi4gV/JGk1NDY2Fzqh02zuetF6weYUovWCzSlE64V4zdF6weYUovWCzSlE64V4zdF6IWazVEwcYkvSaqisLC90QqfZ3PWi9YLNKUTrBZtTiNYL8Zqj9YLNKUTrBZtTiNYL8Zqj9ULMZqmYeDkRFb1bbrnlY73eAQcc8Il2KNtKSnKFTug0m7tetF6wOYVovWBzCtF6IV5ztF6wOYVovWBzCtF6IV5ztF6I2SwVE4fYKno//OEPyeWWfrPK5/Ot/70yLfs4xJYkSZIkSZK6nkNsCSgtLWXPPfdkyJAhhU6RJEmSJEmS1IZDbBW9z3/+89xzzz3cc889zJgxgzFjxnDAAQew9tprFzpNGbJ4cUOhEzrN5q4XrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrRdiNkvFxBs7quide+65PPjgg/zoRz+ivLycs88+mz322IPvfOc73HfffTQ3e4diQXNzvtAJnWZz14vWCzanEK0XbE4hWi/Ea47WCzanEK0XbE4hWi/Ea47WCzGbpWLiEFsCevfuzfjx47n55pu58cYb+cpXvsLUqVM55phj2HPPPfnNb37D9OnTC52pAqqqqih0QqfZ3PWi9YLNKUTrBZtTiNYL8Zqj9YLNKUTrBZtTiNYL8Zqj9ULMZqmYOMSWlrPddtvxs5/9jAcffJBf//rXbLXVVlx66aXsu+++PPTQQ4XOU4F8xP0+M8nmrhetF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2I2S8XEIba0EhUVFeyyyy7ssssu9O3bl+bmZpYsWVLoLEmSJEmSJKmoeGNHaTmNjY3cfffd3Hjjjfzzn/+kqamJQYMGceyxxzJixIhC50mSJEmSJElFxSG29P9efPFFbrjhBv72t78xd+5c+vTpw7hx4zjwwAMZMGBAofNUYHV18e5UbXPXi9YLNqcQrRdsTiFaL8RrjtYLNqcQrRdsTiFaL8RrjtYLMZulYuIQW0Xv6quv5sYbb+T555+npKSET33qUxx00EHstddelJX5FNFS+Xy8O1Xb3PWi9YLNKUTrBZtTiNYL8Zqj9YLNKUTrBZtTiNYL8Zqj9ULMZqmYOKFT0TvjjDMoKyvjM5/5DKNHj2a99dYD4Lnnnlvl6w0ePDhFnjKiurqCRYvqC53RKTZ3vWi9YHMK0XrB5hSi9UK85mi9YHMK0XrB5hSi9UK85mi9ELNZKiYOsSWWXgf73nvv5d57713t13n++ee7sEiSJEmSJEkSOMSWGD16dKETJEmSJEmSJK2EQ2wVvYkTJxY6QZIkSZIkSdJKlBQ6QJIiiHhtNJu7XrResDmFaL1gcwrReiFec7ResDmFaL1gcwrReiFec7ReiNksFROH2JK0GnK5XKETOs3mrhetF2xOIVov2JxCtF6I1xytF2xOIVov2JxCtF6I1xytF2I2S8XEIbaK2oQJE5g2bdrHet1FixZxySWXcPXVV3/CVcqiqqryQid0ms1dL1ov2JxCtF6wOYVovRCvOVov2JxCtF6wOYVovRCvOVovxGyWionXxFZRmzt3LmPHjmXYsGEccMAB7LPPPvTs2XOVr/P000/zl7/8hVtvvZUlS5Zw1llnJaqVJEmSJEmSio9DbBW1m266iZtvvpkLLriAH//4x5x66qlsvvnmbLfddvTt25devXqxZMkS5s2bx+uvv86zzz7Lhx9+SGlpKfvuuy8nnHACG264YaGXIUmSJEmSJK2xHGKr6I0ePZoDDjiA+++/n5tuuolHH32Uv/zlLyvsV1JSwtZbb82oUaP4yle+wrrrrluAWhVKPl/ogs6zuetF6wWbU4jWCzanEK0X4jVH6wWbU4jWCzanEK0X4jVH64WYzVIxcYgtsfQGDp/+9Kf59Kc/DcCrr77Ku+++ywcffEC3bt1Ye+212WqrrT7yUiNac9XVxbtTtc1dL1ov2JxCtF6wOYVovRCvOVov2JxCtF6wOYVovRCvOVovxGyWiolDbKkD/fv3p3///oXOUIaUlORobo71T/M2d71ovWBzCtF6weYUovVCvOZovWBzCtF6weYUovVCvOZovRCzWSomJYUOkKQIKivj3ana5q4XrRdsTiFaL9icQrReiNccrRdsTiFaL9icQrReiNccrRdiNkvFxCG2lGH19fV8+ctfZuutt+b5559v99gLL7zAoYceyqBBg9hzzz2ZNGnSCq9/++238/nPf55Bgwax//77c//997d7PJ/Pc9555zFy5EgGDx7MEUccwfTp09vt88EHH3DiiSey4447MmzYME455RQ+/PDDT3ytkiRJkiRJUkccYksZdvbZZ3d4A8mFCxcyYcIENtxwQ276P/buOzyqMn34+HdSaAlFpAaCCtKWKmIkCCJtQTFA6G5EQAELoISmNEMJVVakKWVFBIHAQqgbUBdFUUEUKcuuYKNFEIRAgFDS5v0j75zNkMLE32bOc4f7c117LZmJ+J3jyeTMc855nthYRo0axfz581mzZo31Pd999x3Dhw+nW7dubNy4kdatWzNo0CB++OEH63uWLFnCihUrmDBhAmvXrqVo0aI899xz3Lx50/qeESNG8NNPP/Hee++xcOFCvv32W15//fX8feFKKaWUUkoppZRSSv1/OoitlKE+++wzvvzyS1599dUsz23evJmUlBSmTp1K9erV6dChA7179+a9996zvmf58uU0b96c/v37U61aNYYOHcqf/vQnPvjgAyDjKuzly5fz4osv0qZNG2rVqsXMmTM5d+4c//znP4GMBS537dpFdHQ0DRo0oHHjxowbN45//OMfnD171jsbwhAS50bT5vwnrRe02Ruk9YI2e4O0XpDXLK0XtNkbpPWCNnuDtF6Q1yytF2Q2K3Un0UFspQx0/vx5xo8fz8yZMylSpEiW5w8cOEDjxo0pVKiQ9VizZs04duwYiYmJ1veEhoa6/XPNmjXjwIEDAMTHx/P777/TtGlT6/nixYvToEED9u/fD8D+/fspUaIE9erVs76nadOm+Pj4cOjQof/Z65Xgxo0UuxPyTJvzn7Re0GZvkNYL2uwN0npBXrO0XtBmb5DWC9rsDdJ6QV6ztF6Q2azUncTP7gCllDun08lrr71Gr169qFevHvHx8Vm+5/z581SuXNntsTJlyljPlSxZkvPnz1uPudx9992cP38egN9//916LKfvOX/+PKVLl3Z73s/Pj5IlS1r/vKeKFv3vgHtqahrJyWkUKuSLn5+v9XhKShopKWkULuyHr+9/z7ElJ6eSmppOkSL++Pg4rMdv3EghPd1J0aKFcPz3Ya5fT8HpdFKs2H//nQDXriXjcDgoWvS/C3Y4nXD9ejI+Pg63hTzS053cuJGCn58PhQr5WStVp6Wlc/NmKv7+vvj7/7fdxNd0a8utr8nFpNfk4+Pg6tWbf/i/k7dfU2BgYbcrNvJj3/tfvybX32Pnz1NeX5Pr58/k94jMryktLR2Hw2H7z1NeXpOPj4PU1HTj3yMyv6aAgELWz5+p7xGZX5OPj4OkpGTbf57y8pr8/HysbWzye8R//550btxItf3nKS+vyfX+ZvfPU15eU06/V0x7j3C9Jh8fB2lpTtt/nvLymm49vjD1PSLza3L9PSa/R2R+Tf7+vtY2Nvk9IvNrSk934uPjMP49Qj8/ee81Zd7+pr9HZD5BUKSIv/UaTH2P8OQ1Ke/TQWylvGTWrFnZLr6YWVxcHF9++SVJSUk8//zzXirzjuvXk3HecndWcnLGL49b3byZmu3fkdOZ8evXk7N9/Nq1rI87nc5sH09Pz/7x1NR0UlOTKVaskNvzrl9wtzLpNfn5+eb6mm5lwmtyHbz80f9Ot8rv15RTz/9y37vV//U1ubaxnT9Pt7rda7r158/E94jMXL12/zy5ePKaihUrZP27TH6PcHE6ndn+NzHtPSLzaypWrBDO//+L0OT3CJcbN1Ky/OyBme8RLq73N7t/njK73Wu6dRub+h6Rma+vT7aPm/Yekfn9zfXPmvwekVl2nSa+R2RWrFghkpPTjH6PcLl5MzXb/djE94jMXO8Xpr9H6Ocn772mzP+c6e8Rtz53a5Np7xE5dTscEBBQONvnVf7TQWylMnE6nezZs4cDBw5YVxqXLVuWhg0b0qRJExyOP37W7dlnnyU8PDzX7wkODrb+/Zmn8ADo2rUrYWFhzJgxgzJlylhXS7u4vnZdfZ3d91y4cMF6vmzZstZjmRePvHDhArVq1bL+joSEBLe/IzU1lcTEROufV0oppZRSSimllFIqP+kgtlL/32effUZ0dLQ1fYfrainXwHVwcDDjxo3j0Ucf/UN/f+nSpbNMzZGdcePGMXToUOvrc+fO8dxzzzF79mwaNGgAQMOGDXnrrbdISUnB3z/jNpqvvvqK++67j5IlS1rfs2fPHvr27Wv9XV999RUNGzYEoHLlypQtW5bdu3dTu3ZtAK5evcrBgwd56qmnAHjggQe4fPkyhw8fpm7dugDs2bOH9PR06tev/4e2g1JKKaWUUkoppZRSeaGD2EoB69at4/XXXyc9PZ0GDRrQpEkTKlasCMCZM2fYs2cPBw8e5IUXXiA6OpouXbrkW0tQUJDb18WKFQOgSpUqVKhQAYCwsDAWLFjA2LFjGTBgAD/++CPLly9n9OjR1j/3zDPP0Lt3b5YuXUqLFi2Ii4vj8OHDTJo0CcgYnH/mmWd45513uOeee6hcuTJz5syhXLlytGnTBoBq1arRvHlzxo8fz8SJE0lJSWHy5Ml06NCB8uXL59s2MFFaWrrdCXmmzflPWi9oszdI6wVt9gZpvSCvWVovaLM3SOsFbfYGab0gr1laL8hsVupOooPY6o534sQJJkyYQMmSJfnrX/9K06ZNs/2+3bt3M3z4cKKiomjcuDFVqlTxcul/FS9enHfffZdJkybRpUsX7rrrLl566SV69uxpfU+jRo2YNWsWb731Fm+++Sb33nsvCxYsoEaNGtb3DBgwgOvXr/P6669z+fJlHnzwQf72t79RuPB/53iaNWsWkydPpk+fPvj4+PDnP/+ZcePGefX1miCnebFMps35T1ovaLM3SOsFbfYGab0gr1laL2izN0jrBW32Bmm9IK9ZWi/IbFbqTuJwOm9dak2pO8vEiRNZu3Ytq1atsqbryMmhQ4fo1asXvXr14vXXX/dSYcFw/vyVLAs7SuLv75vtYhAm0+b8J60XtNkbpPWCNnuDtF6Q1yytF7TZG6T1gjZ7g7RekNcsrRfkNR85e4XeH+xnxdMPUKt8cbtzbktab3YcDihTRmZ7QeBjd4BSdvvqq69o0qTJbQewAerXr09oaChffvmlF8qUSfz9fe1OyDNtzn/SekGbvUFaL2izN0jrBXnN0npBm71BWi9oszdI6wV5zdJ6QWazUncSHcRWd7yzZ89aCxt6onbt2pw9ezYfi5RSSimllFJKKaWUUi46iK3ueD4+PqSleX7LUFpaGj4++qOjlFJKKaWUUkoppZQ36EicuuNVrlyZ/fv3e/z9+/fvp1KlSvlYpEyUmipnbjQXbc5/0npBm71BWi9oszdI6wV5zdJ6QZu9QVovaLM3SOsFec3SekFms1J3Eh3EVne85s2bc/DgQT799NPbfu/OnTs5cOAAjz76qBfKlEmSk+Ud0Ghz/pPWC9rsDdJ6QZu9QVovyGuW1gva7A3SekGbvUFaL8hrltYLMpuVupPoILa64/Xr14+iRYsybNgw1q9fj9PpzPI9TqeT2NhYIiMjKVasGH379vV+qLJVoULyFvnQ5vwnrRe02Ruk9YI2e4O0XpDXLK0XtNkbpPWCNnuDtF6Q1yytF2Q2K3Un8bM7QCm7lSlThtmzZzNkyBDGjRvHvHnzCAkJoWLFigCcOXOGvXv3cvbsWfz8/Jg3bx5ly5a1uVp5m5+fr7gz89qc/6T1gjZ7g7Re0GZvkNYL8pql9YI2e4O0XtBmb5DWC/KapfWCzGal7iQ6iK0U0KJFC1atWsWUKVPYv38/mzdvzvI9DzzwAGPHjqVu3bo2FCqllFJKKaWUUkopdWfSQWyl/r+6deuyevVqTpw4wf79+/n9998BKFu2LA888AD33HOPzYVKKaWUUkoppZRSSt15dBBbqVvcc889uQ5Yjx49mk2bNvGf//zHi1XKbikp8m4r0+b8J60XtNkbpPWCNnuDtF6Q1yytF7TZG6T1gjZ7g7RekNcsrRdkNit1J9GFHZX6A7Jb/FEVbBIPaLQ5/0nrBW32Bmm9oM3eIK0X5DVL6wVt9gZpvaDN3iCtF+Q1S+sFmc1K3Ul0EFsppTxQuLC8G1e0Of9J6wVt9gZpvaDN3iCtF+Q1S+sFbfYGab2gzd4grRfkNUvrBZnNSt1JdBBbKaU84Osr7+1Sm/OftF7QZm+Q1gva7A3SekFes7Re0GZvkNYL2uwN0npBXrO0XpDZrNSdRH9ClVJKKaWUUkoppZRSShlLB7GVUkoppZRSSimllFJKGUsHsZVSygPJyal2J+SZNuc/ab2gzd4grRe02Ruk9YK8Zmm9oM3eIK0XtNkbpPWCvGZpvSCzWak7ic5ar+54DRo0yNP3p6bqL7Y7UWpqut0JeabN+U9aL2izN0jrBW32Bmm9IK9ZWi9oszdI6wVt9gZpvSCvWVovyGxW6k6ig9jqjnf33XfbnaAEKFLEnxs3UuzOyBNtzn/SekGbvUFaL2izN0jrBXnN0npBm71BWi9oszdI6wV5zdJ6QWazUncSHcRWd7xPPvnE7gQlgI+Pw+6EPNPm/CetF7TZG6T1gjZ7g7RekNcsrRe02Ruk9YI2e4O0XpDXLK0XZDYrdSfRObGVUkoppZRSSimllFJKGUsHsZXKo+TkZK5evWp3hlJKKaWUUkoppZRSdwQdxFZ3vNatW7N8+XK3x3bt2sW0adOy/f7Fixfz0EMPeSNNGUTi3GjanP+k9YI2e4O0XtBmb5DWC/KapfWCNnuDtF7QZm+Q1gvymqX1gsxmpe4kOoit7ni//vorly9fdnvs4MGDWQa21Z0tPd1pd0KeaXP+k9YL2uwN0npBm71BWi/Ia5bWC9rsDdJ6QZu9QVovyGuW1gsym5W6k+ggtlJKeaBo0UJ2J+SZNuc/ab2gzd4grRe02Ruk9YK8Zmm9oM3eIK0XtNkbpPWCvGZpvSCzWak7iQ5iK6WUBxwCF6rW5vwnrRe02Ruk9YI2e4O0XpDXLK0XtNkbpPWCNnuDtF6Q1yytF2Q2K3Un0UFspZRSSimllFJKKaWUUsbSQWyllFJKKaWUUkoppZRSxtJBbKWU8sD16/JWqtbm/CetF7TZG6T1gjZ7g7RekNcsrRe02Ruk9YI2e4O0XpDXLK0XZDYrdSfxsztAKRNs2bKFgwcPWl+fPHkSgAEDBmT5Xtdz6s7idMpbqVqb85+0XtBmb5DWC9rsDdJ6QV6ztF7QZm+Q1gva7A3SekFes7RekNms1J1EB7GVAk6cOMGJEyeyPL5r165sv9+hKz7ccYoVK8S1a8l2Z+SJNuc/ab2gzd4grRe02Ruk9YK8Zmm9oM3eIK0XtNkbpPWCvGZpvSCzWak7iQ5iqzvejh077E5QSimllFJKKaWUUkrlQAex1R2vUqVKdicopZRSSimllFJKKaVyoAs7KqWUUkoppZRSSimllDKWDmIrpZQHJM6Nps35T1ovaLM3SOsFbfYGab0gr1laL2izN0jrBW32Bmm9IK9ZWi/IbFbqTqKD2Eop5QGJi3lqc/6T1gva7A3SekGbvUFaL8hrltYL2uwN0npBm71BWi/Ia5bWCzKblbqT6CC2Ukp5oGhRf7sT8kyb85+0XtBmb5DWC9rsDdJ6QV6ztF7QZm+Q1gva7A3SekFes7RekNms1J1EB7GVUkoppZRSSimllFJKGUsHsZVSSimllFJKKaWUUkoZSwexlVLKA06n3QV5p835T1ovaLM3SOsFbfYGab0gr1laL2izN0jrBW32Bmm9IK9ZWi/IbFbqTqKD2Eop5YHr1+WtVK3N+U9aL2izN0jrBW32Bmm9IK9ZWi9oszdI6wVt9gZpvSCvWVovyGxW6k6ig9hKKeUBHx95K1Vrc/6T1gva7A3SekGbvUFaL8hrltYL2uwN0npBm71BWi/Ia5bWCzKblbqT6CC2Ukp5oEgReStVa3P+k9YL2uwN0npBm71BWi/Ia5bWC9rsDdJ6QZu9QVovyGuW1gsym5W6k+ggtlJKKaWUUkoppZRSSilj6SC2UkoppZRSSimllFJKKWPpILZSSnkgPV3eUtXanP+k9YI2e4O0XtBmb5DWC/KapfWCNnuDtF7QZm+Q1gvymqX1gsxmpe4kOoitlFIeuHEjxe6EPNPm/CetF7TZG6T1gjZ7g7RekNcsrRe02Ruk9YI2e4O0XpDXLK0XZDYrdSfRQWyllPKAn5+8t0ttzn/SekGbvUFaL2izN0jrBXnN0npBm71BWi9oszdI6wV5zdJ6QWazUncS/QlVSikPFCrkZ3dCnmlz/pPWC9rsDdJ6QZu9QVovyGuW1gva7A3SekGbvUFaL8hrltYLMpuVupPoILZSSimllFJKKaWUUkopY+lpJqWUUkoppZRSSimlDHf+6k3OJyUDcPzCNbf/BygTUIgygYVtaVMqv+kgtlJKeSAtLd3uhDzT5vwnrRe02Ruk9YI2e4O0XpDXLK0XtNkbpPWCNnuDtF6Q1yytF2Q0xx46w5LdJ90eG7/tqPXnAaFVGNj0Xi9XKeUdOoitlFIeuHkz1e6EPNPm/CetF7TZG6T1gjZ7g7RekNcsrRe02Ruk9YI2e4O0XpDXLK0XZDR3qV+RR6vdnePzZQIKebFGKe/SQWyllPKAv78vKSlpdmfkiTbnP2m9oM3eIK0XtNkbpPWCvGZpvaDN3iCtF7TZG6T1grxmab0go7lMYGG36UIkNCv1v6ILOyqllAf8/X3tTsgzbc5/0npBm71BWi9oszdI6wV5zdJ6QZu9QVovaLM3SOsFec3SekGblTKdDmIrpZRSSimllFJKKaWUMpYOYiullFJKKaWUUkoppZQylg5iK6WUB1JT5c0zps35T1ovaLM3SOsFbfYGab0gr1laL2izN0jrBW32Bmm9IK9ZWi9os1Km00FspZTyQHKyvIMDbc5/0npBm71BWi9oszdI6wV5zdJ6QZu9QVovaLM3SOsFec3SekGblTKdDmIrpZQHChWSt2CGNuc/ab2gzd4grRe02Ruk9YK8Zmm9oM3eIK0XtNkbpPWCvGZpvaDNSplOB7GVUsoDfn7yDg60Of9J6wVt9gZpvaDN3iCtF+Q1S+sFbfYGab2gzd4grRfkNUvrBW1WynQ6iK2UUkoppZRSSimllFLKWDqIrZRSSimllFJKKaWUUspYOoitlFIeSEmRt2CGNuc/ab2gzd4grRe02Ruk9YK8Zmm9oM3eIK0XtNkbpPWCvGZpvaDNSplOB7GVUsoDEg8OtDn/SesFbfYGab2gzd4grRfkNUvrBW32Bmm9oM3eIK0X5DVL6wVtVsp0OoitlFIeKFzYz+6EPNPm/CetF7TZG6T1gjZ7g7RekNcsrRe02Ruk9YI2e4O0XpDXLK0XtFkp0+kgtlJKecDXV97bpTbnP2m9oM3eIK0XtNkbpPWCvGZpvaDN3iCtF7TZG6T1grxmab2gzUqZTvd2pZRSSimllFJKKaWUUsbSQWyllFJKKaWUUkoppZRSxtJBbKWU8kBycqrdCXmmzflPWi9oszdI6wVt9gZpvSCvWVovaLM3SOsFbfYGab0gr1laL2izUqbTQWyllPJAamq63Ql5ps35T1ovaLM3SOsFbfYGab0gr1laL2izN0jrBW32Bmm9IK9ZWi9os1Km00FspZTyQJEi/nYn5Jk25z9pvaDN3iCtF7TZG6T1grxmab2gzd4grRe02Ruk9YK8Zmm9oM1KmU4HsZVSygM+Pg67E/JMm/OftF7QZm+Q1gva7A3SekFes7Re0GZvkNYL2uwN0npBXrO0XtBmpUyng9hKKaWUUkoppZRSSimljKWD2EoZaufOnXTv3p369evz0EMP8dJLL7k9f/r0aQYOHEiDBg0IDQ1lxowZpKa6L+rw9ddfEx4eTt26dWnbti2xsbFZ/j0rV66kVatW1KtXj+7du3Po0CG352/evMnEiRN5+OGHeeCBBxgyZAjnz5//379gpZRSSimllFJKKaWyoYPYShnoww8/ZNSoUXTp0oVNmzaxevVqnnzySev5tLQ0nn/+eVJSUoiJiWH69Ols2LCBuXPnWt9z6tQpnn/+eR5++GE2bdpEnz59GDduHLt27bK+Jy4ujmnTpjFo0CA2bNhArVq1eO6557hw4YL1PVOnTuXTTz/lrbfeYsWKFZw7d47Bgwd7Z0MY5MaNFLsT8kyb85+0XtBmb5DWC9rsDdJ6QV6ztF7QZm+Q1gva7A3SekFes7Re0GalTOdwOp1OuyOUUv+VmppKq1atGDJkCN27d8/2ez777DNeeOEFdu3aRZkyZQBYvXo1s2bNYvfu3RQqVIg33niDzz77jK1bt1r/XGRkJJcvX+bdd98FoHv37tSrV4/XX38dgPT0dFq0aEHv3r0ZOHAgV65cITQ0lFmzZtG+fXsAfv75Z5544gnWrFlDw4YNPX5d589fQd9tlFJKKaWUUkqpO8+Rs1fo/cF+Vjz9ALXKF7c75w9xOKBMGZntBYFeia2UYf7zn/9w9uxZfHx86Ny5M82aNaN///788MMP1vccOHCAGjVqWAPYAM2aNePq1av89NNP1veEhoa6/d3NmjXjwIEDACQnJ/Pvf/+bpk2bWs/7+PjQtGlT9u/fD8Dhw4dJSUlx+55q1aoRFBRk/T13iqJFC9mdkGfanP+k9YI2e4O0XtBmb5DWC/KapfWCNnuDtF7QZm+Q1gvymqX1gjYrZTodxFbKMKdOnQJg/vz5vPjiiyxcuJCSJUvSu3dvLl26BMD58+fdBrAB6+vff/891++5evUqN27c4OLFi6SlpXH33Xe7fc/dd99tzXl9/vx5/P39KVGiRJbvcf177hQOgYs+a3P+k9YL2uwN0npBm71BWi/Ia5bWC9rsDdJ6QZu9QVovyGuW1gvarJTp/OwOUOpOMWvWLJYsWZLr98TFxZGeng7ACy+8QLt27QCYNm0ajz76KNu3b6dXr1753pofMp8hTk1NIzk5jUKFfPHz87UeT0lJIyUljcKF/fD1/e85tuTkVFJT0ylSxB8fn//+lr5xI4X0dCdFixZy++V9/XoKTqeTYsXcz0pfu5aMw+GgaFF/6zGnE65fT8bHx0GRIv99PD3dyY0bKfj5+VCokB/+/r4UK1aItLR0bt5Mxd/fF3///7ab+JocDty+/9bX5GLSa3L9+//ofydvvybXfpHba4L/2773v35Nrtdh589TXl+Tazub/B6R+TUBRvw85eU1+fv7UqSIv/HvEZlfU+afP1PfIzK/Jn9/XxwOh+0/T3l5TZm3scnvES6u/wZ2/zzl5TW5trHdP095eU0+Pg63v8fU9wjXa/L396Vo0UK2/zzl5TXdenxh6ntE5tfkeh0mv0dkfk2Zt7HJ7xGZXxNg+89TXl6Tfn7Sz0+3viaXIkX8rddg6nuEJ69JeZ8OYivlJc8++yzh4eG5fk9wcLB1hXO1atWsxwsVKkRwcDBnzpwBMq6oPnTokNs/67p6umzZstb3uB7L/D2BgYEUKVIEHx8ffH193RZxBLhw4YJ1BXeZMmVISUnh8uXLbldjX7hwwfr3eOr69eQsc2InJ2f88rjVzZup2f4dOS1acf16craPX7uW9XGn05nt4+np2T+emppOamoyxYoVcnve9QvuVia9Jqcz++93vaZbmfCa/jsg9cf+O90qv19TSkpatj3/y30vu3/n/+U1ZR6Qyo43fp5udbvXdOvPn4nvEZllHnC/lUnvEZlfU7Fihax/l8nvES5OpzPbnz/T3iMyv6ZixQrhWorG5PcIF9dg5a3/bhPfI1xc7292/zxldrvXdOv7m6nvEZ48btp7ROb3N9c/a/J7xK3/3ls7TXyPyOy/A1Lmvke43LyZiq+vT5Z/h4nvEZn5+fna/vOUmX5+MuM1Sfv85Hru1ibT3iNy6nY4ICCgcLbPq/yn04ko5SWlS5emWrVquf6vUKFC1K1bl0KFCnHs2DHrn01JSeHXX38lKCgIgIYNG/LDDz+4DUB/9dVXBAYGcv/991vfs2fPHreGr776ylqMsVChQtSpU4fdu3dbz6enp7N7924eeOABAOrWrYu/v7/b9/zyyy+cPn06T4s6FgTXr8tb9Vmb85+0XtBmb5DWC9rsDdJ6QV6ztF7QZm+Q1gva7A3SekFes7Re0GalTKdXYitlmMDAQHr16sW8efOoWLEiQUFBvPvuuwC0b98eyFig8f7772fUqFGMHDmS33//nbfeeouIiAgKFco4E9urVy9WrlzJzJkz6dq1K3v27GHbtm0sWrTI+nf169ePV199lbp161K/fn3ef/99rl+/TpcuXQAoXrw4Xbt2Zfr06ZQsWZLAwECio6N54IEH7rhBbOetl5ELoM35T1ovaLM3SOsFbfYGab0gr1laL2izN0jrBW32Bmm9IK9ZWi9os1Km00FspQw0atQo/Pz8GDVqFDdu3KBBgwa8//77lCxZEgBfX18WLlzIhAkT6NmzJ0WLFiU8PJyXX37Z+juCg4NZtGgR06ZNY/ny5VSoUIHo6GiaN29ufc8TTzxBQkICc+fO5ffff6d27dr87W9/c1sQcsyYMfj4+PDyyy+TnJxMs2bNiIqK8t7GMMStt8NJoM35T1ovaLM3SOsFbfYGab0gr1laL2izN0jrBW32Bmm9IK9ZWi9os1Kmczj1tI1SygvOn7+SZU5sSSQeHGhz/pPWC9rsDdJ6QZu9QVovyGuW1gva7A3SekGbvUFaL8hrltYL2pzfjpy9Qu8P9rPi6QeoVb643Tl/iMMBZcrIbC8IdE5spZRSSimllFJKKaWUUsbSQWyllFJKKaWUUkoppZRSxtJBbKWU8oCUW7Qy0+b8J60XtNkbpPWCNnuDtF6Q1yytF7TZG6T1gjZ7g7RekNcsrRe0WSnT6SC2Ukp5wOFw2J2QZ9qc/6T1gjZ7g7Re0GZvkNYL8pql9YI2e4O0XtBmb5DWC/KapfWCNitlOh3EVkopDxQt6m93Qp5pc/6T1gva7A3SekGbvUFaL8hrltYL2uwN0npBm71BWi/Ia5bWC9qcH85fvcmRs1c4cvYKxy9cA+D4hWvWY+ev3rS5UEniZ3eAUkoppZRSSimllFKqYIk9dIYlu0+6PTZ+21HrzwNCqzCw6b1erlJS6SC2UkoppZRSSimllFLqf6pL/Yo8Wu1u6+siRfy5cSPF+rpMQCE7spRQOoitlFIecDrtLsg7bc5/0npBm71BWi9oszdI6wV5zdJ6QZu9QVovaLM3SOsFec3SekGb80OZwMKUCSxsfV20aCGuX9fFKNUf43A6Td/llVIFwfnzV4z/BauUUkoppZRSSimVHYcDypQpbnfGHUsXdlRKKQ/4+Mhb9Vmb85+0XtBmb5DWC9rsDdJ6QV6ztF7QZm+Q1gva7A3SekFes7Re0GZvkNarzKKD2Eop5YEiRcxe9Tk72pz/pPWCNnuDtF7QZm+Q1gvymqX1gjZ7g7Re0GZvkNYL8pql9YI2e4O0XmUWHcRWSimllFJKKaWUUkopZSwdxFZKKaWUUkoppZRSSillLB3EVkopD6Sny1uVUpvzn7Re0GZvkNYL2uwN0npBXrO0XtBmb5DWC9rsDdJ6QV6ztF7QZm+Q1qvM4nA6nboHKaXy3fnzV9B3G6WUUkoppZRSSknkcECZMsXtzrhj6ZXYSinlAT8/eW+X2pz/pPWCNnuDtF7QZm+Q1gvymqX1gjZ7g7Re0GZvkNYL8pql9YI2e4O0XmUW3XuUUsoDhQr52Z2QZ9qc/6T1gjZ7g7Re0GZvkNYL8pql9YI2e4O0XtBmb5DWC/KapfWCNnuDtF5lFh3EVkoppZRSSimllFJKKWUsHcRWSimllFJKKaWUUkopZSwdxFZKKQ+kpaXbnZBn2pz/pPWCNnuDtF7QZm+Q1gvymqX1gjZ7g7Re0GZvkNYL8pql9YI2e4O0XmUWh9PpdNodoZQq+M6fv4K+2yillFJKKaWUUkoihwPKlClud8YdS6/EVkopD/j7+9qdkGfanP+k9YI2e4O0XtBmb5DWC/KapfWCNnuDtF7QZm+Q1gvymqX1gjZ7g7ReZRYdxFZKKQ9I/GWrzflPWi9oszdI6wVt9gZpvSCvWVovaLM3SOsFbfYGab0gr1laL2izN0jrVWbRQWyllFJKKaWUUkoppZRSxtJBbKWUUkoppZRSSimllFLG0kFspZTyQGpqmt0JeabN+U9aL2izN0jrBW32Bmm9IK9ZWi9oszdI6wVt9gZpvSCvWVovaLM3SOtVZnE4nU6n3RFKqYLv/Pkr6LuNUkoppZRSSimlJHI4oEyZ4nZn3LH0SmyllPJAoULyFqDQ5vwnrRe02Ruk9YI2e4O0XpDXLK0XtNkbpPWCNnuDtF6Q1yytF7TZG6T1KrPoILZSSnnAz0/eL1ttzn/SekGbvUFaL2izN0jrBXnN0npBm71BWi9oszdI6wV5zdJ6QZu9QVqvMosOYiullFJKKaWUUkoppZQylp/dAUqpO4PDYXfB/53E16DN+U9aL2izN0jrBW32Bmm9IK9ZWi9oszdI6wVt9gZpvSCvWVovaLM3SOvNTHJ7QaALOyqllFJKKaWUUkoppZQylk4nopRSSimllFJKKaWUUspYOoitlFJKKaWUUkoppZRSylg6iK2UUkoppZRSSimllFLKWDqIrZRSSimllFJKKaWUUspYOoitlFJKKaWUUkoppZRSylg6iK2UUkoppZRSSimllFLKWDqIrZRSSimllFJKKaWUUspYOoitlFJKKaWUUkoppZRSylg6iK2UUkoppZRSSimllFLKWDqIrZRSSimllFJKKaWUUspYOoitlFJKKaWUUkoppZRSylh+dgcopZQE/fr147333rM7I1fffPMNv/76K6GhoZQvX956fMOGDYSHh9tYVjAlJCRw9OhRqlWrRrly5ezOUTZKS0tj7969nDlzBoCKFSsSEhKCr6+vzWV5d+TIEWrVqmV3hpt//vOfPPjgg9x1110kJCQwYcIEDh06RK1atZg4caLb+52p0tLSOH36NBUqVMDf39/unGylpaXx2muv8cYbb9idkmcHDhzgq6++wuFwEBoaSsOGDe1OylZycjLr16+nQoUKtGzZknXr1vH1119TvXp1+vbtS6FChexOLBDS0tJ47rnnWLZsmd0pHvv555/ZunWr2++RJ554gurVq9tcpkzz6aef0rJlS7szcpSYmMjHH3/sti+3adOGUqVK2RuWi7/+9a9ERERQoUIFu1P+MJP3i88++4x//OMfbvtEhw4daNGihc1lSiK9ElsppW4xePDgLP87cOCA9WcTvffee4wdO5bt27fTqVMnPvroI+u55cuX21iWd+3atbM7IVujRo3iwoULAOzevZsnnniCv/71r3Tq1Il//vOfNtdl7+TJk/Tu3ZvWrVszbdo0bt68aT3Xs2dPG8uyt23bNuvPCQkJDBw4kAcffJDevXtz+vRpG8ty9u2339KqVStmz57N559/zueff86bb75Jq1at+Oabb+zOy7MXXnjB7oQsZs+ebX34nTlzJvfeey9/+9vfaNy4MePHj7c3Lgdvvvmm9X7x/fff07JlS3r06MGjjz7Kt99+a3Nd9nx9fTl+/LjdGXn27rvvEhkZyaVLl7h48SLDhg0z9qRzVFQUO3bs4N133yUqKorNmzfTsGFD9u/fz6RJk+zOyyI5OZn58+czevRoduzY4fbc5MmTbaq6PV9fX27cuEF6errdKR5ZuXIlAwYMIDk5mfr161O/fn2Sk5N5/vnn+eCDD+zOy9aVK1eYOnUq06ZN4+rVq/ztb3+jY8eOjBw5ksTERLvzspC6L2dn4sSJdifk6MMPP+Txxx/nyy+/5MaNG9y4cYMvvviCDh068OGHH9qdlyOHw0G3bt0YNGgQu3fvtjvnDzF1v5g9ezZz586lYcOG9O/fn/79+9OwYUPmzp3L7Nmz7c5TAumV2EopdYv9+/fTsmVLHnzwQQCcTifffvstrVu3trksZ7GxscTGxhIYGMhPP/3EoEGDuH79Op06dcLpdNqdl8WRI0dyfC4pKcmLJZ47cuQId999NwALFizgvffeo3bt2pw6dYohQ4bQpk0bmwuzmjhxIu3bt6dBgwYsX76cPn368Le//Y3AwEC3AW1TLF68mMcffxzIGASsUaMGU6ZMYevWrUyZMoUFCxbYXJjVxIkTmT9/PvXq1XN7/NChQ4wdO5YtW7bYVJaznE5sOZ1Orl275uWa23M6nTgcDiDj53D69OkA3H///UZuX8i4ImrYsGEAzJo1i+joaB599FEOHTrE5MmT+fvf/25zYfYefvhhxo8fT3h4OMWKFbMeN+3q/MzWrl1LbGwsd911FwAvvfQSPXv2pF+/fjaXZXXo0CG2bt3KzZs3eeSRR9i1axfFihWjR48eRt4xNXHiRK5du0a9evWYNWsWX3/9NWPGjAHgu+++s7kud3Xr1uX555+nY8eObvuyicdyy5cvZ8OGDZQsWdLt8QEDBtCjRw+efvppm8pyNn78eMqWLcu1a9d48cUXqVq1KpMnT2b79u1MmzbNep82hbR9edq0adk+7nQ6uXLlipdrPDd79mzWrl1L5cqV3R4/deoUAwYMMPZClWHDhjF48GC2bdvGnDlziI6O5i9/+UuW34V2k7hfbNu2ja1bt2a506hbt2506NCByMhIm8qUVDqIrZRSt9i8eTNRUVH88MMPREZGUqhQIRYsWGDkB8zMAgMDgYyBnffff59+/fqRnp5uDf6YpHPnzlSqVCnbAfZLly55P8gDmQd9r1+/Tu3atQEIDg4mLS3NrqxcXbhwgYiICCDjCtaFCxfSt29f3nvvPSP3i8z7w6FDh9iwYQO+vr7069ePDRs22FiWs+Tk5CwD2IB1JZ2JZsyYQVhYWLb7QEpKig1Fubv77rvZv38/DzzwABUqVOD333+nbNmyXL161dgrLTP/t7948SKPPvooYPZ+ARAXFwfAl19+aT3mcDiyXLlokoCAAGsAG6BUqVIEBATYWJQzX19fHA4HhQsXpnDhwtbgiL+/Pz4+5t0ge+jQITZv3ozD4aBXr14MGzaM119/nUmTJhl5gjyzo0ePAhknOVwcDoeRg9jp6elZBrABSpQoYex73M8//8xbb71FWloaTZs25b333sPPz4/69evTsWNHu/OykLYvr1q1iv79+2c7LZmJx28u6enpWQawwexjZZdChQrxxBNP4HQ6eeutt4iJiWHhwoWMGDGCTp062Z0HyNwvnE5ntj9j6enpRv7sKfPpILZSSt3i7rvvZv78+axbt46IiAhjb1fPzNfXlwsXLlhXCleoUIFly5bRr18/a/4xkwQFBbFq1aps57I1dX60Zs2aER0dTWRkJE2bNmXz5s2EhYXx+eefuw2gmOTGjRtuX7/wwgv4+/vTp08fI694v3nzJkePHrWuvM18kG7qwXlwcDDz58/nqaeesn7+Lly4wOrVq7P9IGeCqlWrMnDgQKpWrZrlua+++sqGotyNGzeOQYMG0bBhQ+666y569OjBww8/zL/+9S+ef/55u/OyVa9ePZYtW0bfvn2pW7cu33zzDQ899BBHjx6lcOHCdufl6JNPPrE7Ic+aNGnCa6+9Rrdu3YCMO5OaNm1q3fFj0lXkQUFBzJgxg6SkJO6//34mT55MWFgYu3btomzZsnbnZZGWlma99xYrVox58+YRGRnJuHHjbC67vRUrVtid4LFHH32Ufv360b17dypVqgTAr7/+yt///ndjj4n8/DKGEXx9falYsaL1tcPhMPKEjLR9uXr16rRv356aNWtmec7UO3kg43ff6NGjeeqppwgKCgLg9OnTrF69mrp169pcl7OzZ8+yatUqNm7cSOPGjZkzZw4NGjTg7Nmz9OzZ05hBbIn7RXh4ON26daNjx45u72+bN2+mS5cuNtcpiRxOPf2hlFI5OnXqFGPHjuWHH35gz549dufkKC4ujooVK/LAAw+4PX7u3DnmzZtn3Hx/0dHRtG/fnsaNG2d5znVljGmSk5OZNWsW69evp2TJkpw+fRpfX1+aNGnChAkTCA4Otjsxi0GDBtGzZ0/rKlCX9957jxkzZuQ6rYsdWrVqhcPhsK7MWLVqFRUqVODKlSs888wzRl6NnZCQwKxZs9i2bZt1lZGvry/t27dnxIgR1sC2SdavX0/dunWz/RBk6kKwN27cYMuWLfz888+kpqYSFBTE448/TsWKFe1Oy9bly5cZM2YM//73vylfvjyHDh2iQoUKBAQEMGPGDP70pz/ZnZijQ4cOWSczHnnkkWzvNDBJq1atcnzOtKvIExISWLhwIQ6Hg5deeomtW7cSExNDcHAwY8aMMe7E19NPP83rr79OjRo1rMdSU1OJjIzkn//8J99//72Ndbe3bds2a19u1qyZsVMZOJ1ONm3axLZt26z1H4KCgmjfvj2dOnUyclC4S5cuxMTEUKhQIVJSUqwFa2/cuEGPHj3YvHmzzYXupO3Ln332Gffeey/33HNPlud2795NaGioDVW3d+PGDd599123fblSpUq0a9eO5557jqJFi9pcmL1mzZrRrVs3nnrqqSwX2MydO5eXX37ZpjJ3UveLb775Jtv3t5CQEJvLlEQ6iK2UUh64evWqNV2HZO+//z59+vSxO0O069evc/LkSdLS0qhYsaKxV2HDf6c0uHUeOsi46iS7K+FNdP36dc6fP2/kiYLMXFPhuBYhVPknMTEx29vvTXPy5El++ukn6/3C5CvRANasWcM777xD27ZtcTgcfPzxx7z00kt0797d7jRlgx9++IEiRYpQpUoVt8fT0tKIi4sjLCzMprLbmz9/Pjt27KBTp044HA42bdpEmzZteOmll+xOKxDi4+MpX768NXjtcvr0aY4ePUrLli1tKsveDz/8QOHChbMM/knYl1X+S05OzvZYWSllHvNO6yqllCHCw8NZuXIlly9fLhAD2AAbN260OyFHJl5lm52iRYtSs2ZN/vSnP7Fz5067c3JVqFChLAflru0sZQB7w4YNFC1a1PgBbMgYvJYygH3p0iUSEhKAjAHhjz/+mF9++cXmKs/17dvX7gSPVKlShVatWtG2bVsSExPtzrmtDz74gNjYWMaOHcuYMWNYv359jguBmuTq1ascOXKEf//739b/pBgyZIjdCTmqUaMGlSpVYuTIkW6P+/r6Gj/o9+GHH7Jq1Sr69u1Lnz59+OCDD9i2bZvdWTm6ceOGdZViZj/++KMNNbdXuXLlLAPYkHGFZeYB7Fv3HbvUqFEj26tXb92XTemFjIWMXXfMHT9+nGXLlrF7926bq25P4vHF9evXef3112nbti1//vOfiYqKMvZ3tsT94tSpU3zzzTdZpjnMvP6GUp7SQWyllMrB6NGj+de//kXbtm0ZOnQou3btEr8Ahcn9EgZKbqXN+c/03pMnT9K7d29at27NtGnT3BYA7dmzp41lOYuLi6N169a0bduWuLg4nn76adasWcMzzzzDRx99ZHeeR0x+L8vJrFmz7E7wSOnSpbP9s6mWLVtG8+bNGTRoEJGRkURGRjJs2DC7szwWHx9vd0KufH19OX78uN0Zf0jmqQtci2ia6IsvvqBZs2aEhYURHh7OiRMnrOdGjRplY9n/3U8//WR3Qp6Y0rtixQpefPFFBgwYwLJly4iMjOTYsWNMmDCBmJgYu/NyJPX44rXXXsPX15d58+Yxd+5c/Pz8eO211+zOykLifrF582a6d+/OpEmTaNeuHfv377eek3JcpMyiCzsqpVQOQkJCCAkJ4dq1a2zfvp3Fixczfvx446++zY2pi+OBzEEpbc5/pvdOnDiR9u3b06BBA5YvX06fPn3429/+RmBgoNuAtkmWLFlCXFwcSUlJdO3alZiYGGrWrMnJkycZNmwYf/7zn+1OvK1bpzeQwPR9GeDee+9l9uzZ1gmYtWvXcu+999obdRsrVqxg+/btYu4uuZWE/eLhhx9m/PjxhIeHuw0Gm7Ro5q3q1avHyJEj6dGjBwDr1q0zdn73t956iw8++ICaNWuybt06+vXrx8KFC6lRo4aI/UP9761du5atW7eSlJREmzZt2L59O0FBQSQkJPDss8/Sq1cvuxOzJfX44vjx47zzzjvW1+PHj+fxxx+3sSh7EveLd999l40bN1KhQgW++uorIiMjmTZtGqGhofr+pv4QHcRWSqnbuHbtGgkJCVy4cIHixYvbnVNgSZkeIDNtzn+m9164cIGIiAgAZs6cycKFC+nbty/vvfeesSeNnE6nNeBXvnx5a4HHKlWqkJqaameax+bOnWt3Qp498cQTdifc1sSJE5k8eTLh4eE4HA6aNm3KhAkT7M7KVfny5cUOYEPGILzp4uLiAPdbv01bNPNW48aN4+2332batGkANG3a1Nj5sFNTU60TAt27d6dy5cq88MILvP3228b+HlH5y9fXl4CAAAICAqhSpQpBQUFAxt0xJu8TUo8vypUrR0JCgnX3UUJCgpG/VyTuF06nkwoVKgAZ78OLFi3ixRdfZPLkycY2K7PpILZSSuXgo48+IjY2loMHD9K+fXumT59O/fr17c76PzH1jLfrYPHcuXOUK1fO7pxcTZgwwRrU6dy5c5bHTCZlO0vaxrfO7/fCCy/g7+9Pnz59SEpKsqkqd2lpadafXQPw2T1nkg8//JBNmzbx66+/4uvrS/Xq1Xn22WetD8imevvtt62Bs4EDB2Z5zESzZ892+9o1t6mpnn/+eaKjo3nssccoXLiw9fhDDz1kY1XuYmJi6NChA8WLF2f27NkcOHCA0aNHG9v8ySef2J2QZydPnmTEiBFujx05csTIq8dv3rzptrBcaGgo06dP58UXXyQlJcXmOmWHzL+Lb50337Vot4kkHl8AlCxZkrCwMFq0aAHA559/zoMPPmidBBs9erSdeRaJ+4XT6eTq1avW+lI1a9Zk8eLFDBw40NjjZGU2nRNbKaVyEBMTw5NPPsnOnTuJiooSP4ANMH36dLsTgIw5Hi9cuADA7t27eeKJJ/jrX/9Kp06d+Oc//2lzXe4OHjyY5bHM87uZROp2lrSNq1Wrxueff+722HPPPUdYWBgnT560qSp3rVq14urVqwD07t3bevznn3+mUqVKdmXl6M0332TdunWEhIRQvHhxmjRpQrVq1XjxxReN3o8BPv74Y48eM8Vzzz3n0WMmOXDgABs3buSvf/0r06dPZ/r06cyYMcPurFytXLmS4sWLs2/fPn744QciIyONbz506BALFy5k4cKF/Otf/7I757ayG3QyZSDqVn/+85/5+uuv3R4LCQlh5syZBAQE2FT1v+HjI2u4wZTeXr16Wb+n27VrZz3+888/8+CDD9qVdVvSji9catSowVNPPUVQUBBBQUH06tWL6tWrU7x4caPuwpW4X/To0YPDhw+7PXb//fezZMkS6tSpY1OVkszhNPWyPKWUMsiGDRsIDw+3O+O2WrVqleXWrBIlStCwYUNeeeUVSpUqZU/YLTp27MjmzZsBePrppxk7diy1a9fm1KlTDBkyhI0bN9obmI24uDj+8Y9/sHfvXh5++GHr8StXrpCcnMzq1attrMuetO0scRu7rnxxXUGX2dmzZ428HVWaJ554gi1btuDr60tSUhIvvPACK1as4NSpUwwePJhNmzbZnZjFrl272LVrF1u3biUsLMx6/MqVK3z//fds2LDBxrqskpOTSU5O5i9/+QurVq2yHr9y5Qp9+/blww8/tLEud61atWLjxo2UKFHC7hSPhYeHs2HDBhYsWEC5cuXo3r279ZiJ1qxZwzvvvEPbtm1xOBx8/PHHvPTSS3Tv3t3utCwuXLjA77//TmRkJG+99ZZ1B9rVq1cZO3as0fvy7ezbt8+4garTp09neaxEiRLWVZemkdZbUJm4Lyt7bdu2zch5yJV5dDoRpZTywPLly0UMYnfs2JGzZ8/SrVs3AGJjYylRogROp5OoqCjmzJljc2GGzAveXb9+ndq1awMQHBxs7O2GVatWpXXr1vznP/+hdevW1uOBgYGEhobaWJYzadtZ4jbOPHh9+vRpvvnmGxwOB40bN7bmKpRg8uTJjB8/3u6MbPn6+uLr6wuAv78/V65cAczdjwEKFy5MiRIl8PHxcbuKq2LFikZOJbJ48WLmz58PQOPGja3HAwMD6devn11ZHgkKChI1gA0Z80nHxcWxbds2Fi1aBGD0tBEffPABsbGx1nyxL7zwAn369DFyEHvr1q28//77nDt3jhdffNF6vHjx4vTv39/Gsv+76Oho4050dOnShcTERPz8MoYVUlNTKVasGBUqVGDWrFnWcYcppPVmNmTIEObNm2d3xv+Eafvy1atX+etf/8pXX30FQLNmzYiMjBRxcqOg7BeLFy/WQWzlER3EVkopD0i5aeXLL7/k73//u/V1o0aN6N69O+vWrTNqUbFmzZoRHR1NZGQkTZs2ZfPmzYSFhfH5559z11132Z2XrVq1alGrVi0ee+wx64N8YmIiJUuWtLksZ9K2s8Rt7LJlyxaio6N56KGHcDqdTJ06lfHjx9OhQwe70zzy3Xff2Z2Qo7p16/Laa6/RvHlztm/fbs0bfOPGDWMH/kJCQggJCaFNmzZGzsF7q8GDBzN48GCioqKYOHGi3Tl5Uq9ePV555RXatWvnNid25hNhpomKimLRokV0796dSpUqcezYMZo0aWJ3Vq5c78m3/tk0ffr0oU+fPixYsIBBgwbZnfM/ZeKxaLdu3ahatSrh4eE4nU42b97MDz/8QKNGjZg0aZJxd1BJ680sPj7e7oT/GdP25YkTJ1K0aFHeeustHA4HMTExTJw4kTfeeMPutNsqKPuFafuEMpcZkz4ppZTh+vbta3eCRxITE7l+/br19fXr162rFjN/uLfbq6++io+PD48++ij/+Mc/GDVqFHXr1mX58uVMmTLF7rxcZf7wbvp+IXU7S9rGLgsWLGDdunXMnz/f+rOkK2NM/vDw+uuvU758ebZs2UKNGjWsxdpSU1ONubskJ5kHsHv27GljiWe6du1qzbcJGVenmT7/8eHDh0lISGD16tUsW7aMZcuW8f7779udlasGDRrw9ttv06dPHxITE7nvvvsYN26c3Vk5uvfee5k9ezanT5/m9OnTvPXWW9x77712Z+Wqdu3aXL582fo6MTGRnTt32hf0P3DrdHEm+OKLL+jSpQsOhwMfHx86d+7M7t27adOmjdt7iSmk9WZm8u/pvDJtXz569CiTJk2idu3a1KpViwkTJnD06FG7szxSUPYL0/YJZS69ElsppXLhmh7Ax8eH06dPGz89wJNPPkmPHj1o3749AB999BEdOnQgKSnJqAVVChUqxJgxY4iMjOTkyZOkpaVRsWJFI68Ozo3pB44FYTubvo1dihYtSnBwsPV15cqVKVq0qI1FefPXv/7V7oQcFS1alMjIyCyPBwYGirjK2SXz9D6mioqKYt26ddbXRYoUISoqitjYWBurcrdixQq7E/5P+vbta9Rt9dmZOHEikydPJjw8HIfDQdOmTZkwYYLdWbmaM2eO23z5JUqUYM6cOTz22GP2RRVAycnJHD9+3Dqpcfz4ceu9zpRFEjOT1puZ9Pc6k6Wnp3P16lVr+pCkpCTS09NtrvKM7hfqTqOD2EoplQOJ0wO8/PLL1K9fnz179gAQGRlpfWBzzXdqkqJFi1KzZk1AzuKZmVWpUsXuBI9I3s6mb2PXlVstWrRg3rx5dO/eHafTyfr162nZsqXNdbn75JNPCAkJITAwkJ07dzJnzhwGDx5MjRo17E7L4tSpU/z222/Uq1ePIkWKWI9/+eWXPPLIIzaWeS5zt6nS09Ot+ccB/Pz8jJ13PLOUlBTi4+PdThRIOcEh5UTd7Nmz3b5OSEiwqeSPcTgcIvbl3Ji4rwwbNoyePXtaP29Hjx4lOjqapKQko6axc5HWGxMTQ4cOHShevDizZ8/mwIEDjB492ppWSyrT9uXOnTvTs2dPa07m7du306VLF5urclYQ9wvT9gllLodT9xallMpW+/btWbJkiXV1ZXx8PP3792f79u02lxVM4eHhxl+NlllycrLbon5SSNrOErZxrVq1cDgc2R58OxwOvv/+exuqPBMWFsaWLVs4cuQIr776Kk899RSbN29m1apVdqe52bx5M1OnTqVs2bJcvnyZt956iwceeACQtT9L0K1bN2bNmmVdpXjs2DFGjBjB+vXr7Q3Lxaeffsr48eNJTEykWLFiJCYmEhQUxCeffGJ3mkdefvll5s6da3dGrrL7OTP9Z+8vf/kLI0aMoFGjRgDs27ePWbNmGT3ncWZOp5OkpCS3heX+/ve/G7mYZkJCAgcOHACgYcOGRs+ZDrJ6Xb+n9+3bx+zZs3n++eeZM2eO2x0zppOyL3/++efs3r0bgNDQUB599FGbi3Imfb+4cuUKZ86ccbto4rPPPqNFixY2Vikp9EpspZTKgcTpAW7cuMGKFSs4cuSI2xVpJl6FfSsp51SPHDnCiBEjuHz5Mp9//jmHDx8mLi6OUaNG2Z3mEQnbWdI2PnLkiN0Jf5ifX8Zh4BdffEGPHj3o1asXa9assbkqq3fffZeNGzdSoUIFvvrqKyIjI5k2bRqhoaHG78+pqal89NFHnDx5ktTUVOvxwYMH21iVs8GDB/OXv/zF+vD+xRdfMHXqVJurcjdnzhzWrFnDoEGD2LhxI5s2bRLzc5mcnGz0AHZycjLJycmkpaW5zRd85coVrl27ZmPZ7Y0cOZLBgwdTtWpVIGPaiAULFthclbsxY8bw2muvUaRIEbp168aJEycYNWoUERERAMYN+rmULl2aVq1a2Z3hMUm9rt/Te/bsoVOnTjRv3pw333zT5qrbk7Yv37x5k+bNm1u/+9LT07l586ZR6wllJnG/eO6555g9eza+vr506tQJgE6dOvHKK68A6AC28pjZEz8ppZSNXNMD/Pbbb5w5c4b58+fTsmVLrl69auziL+PGjePXX39l//79PPzwwyLm8XaRsoDflClTmDBhgnXlTp06dfjss89srvKchO0sfRubfHViZmlpaRw8eJCPPvqIJk2aALgNtJrC6XRSoUIFAJo2bcqiRYsYO3YsX375pfELAQ0bNowVK1Zw8eJFkpKSrP+Z6rHHHmPlypXUq1ePevXqsWrVKqOvRoOMeWwrVapkTRXRqVMnvv76a5urcnfkyBGefPJJ2rRpA2QsTjlz5kybq7JavHgxjRs35ocffqBx48bW/8LCwujYsaPdebl64IEHiIuLo3///vTv359//OMf1K9f3+6sXP373/+mRIkS7Nq1iz/96U98+eWXxMTE2J2Vq+PHj9O/f3+aNWtGSEiI9T9TSet1OBzExcWxbds2mjZtCmRMn2Q6aftynz593D7bJSUlGX28LHG/uHDhAiVKlOCzzz6jVatWfPjhh/zzn/+0O0sJpIPYSimVg4ULF7JgwQIee+wxWrZsyfz583n77bdp3LixsXOOHT16lAkTJhAQEEDv3r1Zvnw5//73v+3OylHmhaE6d+6c5TETJSUl0bhxY+trh8OBv7+/jUW3J207S9zGmS1fvtzuBI8MHTqU119/nQcffJBq1arxyy+/WNNImMTpdLp9uKxZsyaLFy9m/PjxnD592say2zt69CirVq1i9OjRvPrqq9b/THbfffcRERFBRESE8XPSw3+vSCtfvjwff/wx//nPf0hMTLS5KndSTtQNHjyYI0eO0LNnT44cOWL979tvv2XQoEF2591WyZIladGiBS1atKBEiRJ259yW686Sb7/9lscee4zAwEC3OepNNH78eLp06ULJkiVZsWIF7dq149lnn7U7K0fSeqOioti6dSvdu3enUqVKHDt2zDrpbDJp+/L169cpXry49XXx4sWNvttE4n7hukji22+/5ZFHHsHf39/ofUKZS6cTUUqpHEi5HTkz121vfn5+XLt2jcDAQKMXXzp48GCWx/bv329Dief8/PxISUmxrgA9c+aM8SvaS9vOErdxZqZPceHSqlUrt1uqq1atyrx582wsyl6PHj04fPiw2we0+++/nyVLljBlyhQby26vYsWKpKSkGD+3u8uFCxeYO3cuR48edZuSyuS7C5555hkSExMZOnQow4YN4/Lly4wdO9burFxJO1HXtWtXrl69as1pe/XqVY4dO0a9evVsLsvZ8ePHiY6O5siRIyQnJ1uP792718aq3JUtW5aoqCh27drFiy++SEpKivGLUV69epUnnniCd955h5o1azJp0iS6d+/OCy+8YHdatqT1NmjQgLfffhuAxMRE7rvvPsaNG2dz1e1J25fT09NJSkoiICAAyNhPTO6VuF9Ur16d/v3788svvzBy5EiuX79ud5ISSgexlVIqG2lpaYSFhREXF2d3Sp6ULFmSxMREHn30UZ577jnuuusu6zZ8k8TFxfGPf/yD+Ph4t7lhr1y5QrFixWwsu72IiAgGDRpEQkICs2fPZsuWLYwYMcLurGxJ3c6StnF2TL4FNSc9e/Y0cj5sgN69e2f7eLVq1Vi6dKmXazzjuhq/SpUq9O7dmzZt2rjNrfnMM8/YlZarsWPH0qhRI/bs2cOrr77KmjVrqF27tt1ZOUpLS8Pf35+SJUtSsmRJPvroI7uTPCLtRF1UVJTbgmFFihQhKiqK2NhYG6tyN378eJ566ikWLFjAm2++yQcffEClSpXszsrVG2+8webNmwkPD6dEiRLEx8fTr18/u7Ny5boTIiAggPj4eMqWLcvFixdtrsqZtN7M+vbta/QJxcyk7cthYWH069ePXr16ARATE2PduWg6KfvF9OnT2bVrFzVr1qRo0aKcPXuWYcOGWc9LWMxdmUEHsZVSKhu+vr6ULl2a69evG7+YY2aLFy/G19eXoUOHsmXLFi5fvmzkQVjVqlVp3bo1//nPf2jdurX1eGBgIKGhoTaW3V6nTp0IDg5mx44dpKSkMHPmTLcr6kwidTtL2sbZMfFn7nYyX3UrwZAhQ4y8atzl+++/t/5ctWpVfvnlFxtrPHfmzBkGDhzIli1baNWqFc2aNaN3794MHTrU7rRs+fr6snDhQtq1a2d3Sp5IO1GXnp7udtu3n5+f0VcpgrwrbiFjwcHMJ0ErV65M5cqVra/79OnD+++/b0NZzho3bszFixeJiIiga9eu+Pv78/jjj9udlSNpvZlJucsL5O3LAwcOpGzZsuzcuRPIeI92LT5oOin7ReHCha11ICBjCrDy5ctbX/fs2VPEYLyynw5iK6VUDqpUqcJTTz1F+/bt3a5aNfUKOoBFixbx0ksv4XA4rEWX3n77bV566SWby9zVqlWLWrVq8dhjj1lzgiYmJlKyZEmbyzzTqFEjGjVqZHfGbUnezlK2cW7atWvHhx9+aHeGR4oUKWJ3Qp7Ex8fbnZCradOm2Z3wh7imtChUqBAXL16kZMmSxl+l+Kc//Ylvv/1W1IkuaSfq/P39OX78uDVn/rFjx6wrWk0l+YrbnJg417trjv+wsDAaN27MlStXqFGjhs1VOZPWm5mENQo8ZeK+HB4eTnh4uJjjZJeCsl9IGYxX9jP76EMppWzkdDqpXbs2J06csDvFYx9//HGWAevsHjOFa2AV5NwOFx8fz5IlSzh16pS1SAmYvZiftO0saRvnNnd+UlKSF0v+b2JiYuxOyBOJH3ZMv3oc4N577+XixYt07NiRHj16EBgYSJ06dezOytXBgwfZsGEDwcHBbiecTX+fk3SibvDgwfzlL3/h0UcfBeCLL75g6tSpNlflLrsrbp944gm7s/5PXNPPmOSll16y5uatWLEiFStWdHvMNNJ6XZKTk5k7d67dGf8zJu7LLhKOkzMrKPuFyfuEMosOYiulVA4kXUm3a9cudu3axdmzZ926r1y5YmNV3kgZlBo6dCihoaFERESIXFVbwnaWtI07d+5MpUqVst2uly5d8n5QHqSmpvLRRx9x8uRJt5MFmedPN9WKFSvsTsgzk68e//HHH6levTqzZs0CMm71rlu3LpcvX6Z58+Y21+Xu9ddftzshzySdqAN47LHHWLlyJV999RWQMRBo6tV/X375JY888giDBg0iMDBQ5BW3kpw5cybLY6dOnbKhxDPSeo8cOcKIESO4fPkyn3/+OYcPHyYuLo5Ro0bZnVZgSThOvnz5MjExMVl+h0j67KrUH6WD2EopdYu9e/cSEhLCjh07sn0+89zCpihcuDAlSpTAx8eH4sWLW4+7rjCRwNQPxLe6efMmw4cPtzvjD5OwnSVt46CgIFatWuU2r59LixYtbCjy3LBhw/j999+pX7++0YvKucTExNChQweKFy/O7NmzOXDgAKNHj+ahhx6yO80jJn8wHjVqFBs2bOCpp55i9erVADz44IM2V3kmJCTE+rNrMN50kk7Uudx3333cd999dmfc1l//+lceeeQRevfubV1N6briVv3vxMTEEBMTw/HjxwkPD7cev3LlCvfff7+NZdmT1usyZcoUJkyYQHR0NAB16tTh1Vdf1UHsfCThOPnll1+mdOnSNGzYUMzvkNsx+RhJmUUHsZVS6habN28mJCSEZcuWZXnO4XAYOYgdEhJCSEgIbdq0oVatWjl+3/vvv0+fPn28WOYZSbdJ1qhRg9OnTxMUFGR3Sp5J2c6StnGrVq04deqUyEHso0ePsn37djG3cK5cuZJevXqxb98+fvjhByIjI5kxYwbr1q2zO80jJl89fvPmTeLi4jh37ly2J3BN/L2XHddgvOkknagDuHDhAnPnzuXo0aNui8CauK1TUlJYvHgxFy5cyPbKdpPXNbmdChUq2J1gad68Offddx8TJkxg9OjR1uOBgYHUrFnTxrLsSet1SUpKcpsv3+FwWGsXSGbSvpyZlOPk33//PdvPqZI1aNDA7gQlhA5iK6XULVxXO5g84JCT3AawATZu3GjUILbE2yQTEhLo1KkTDRs2pHDhwtbj8+fPt7Eqd9K2s6RtPG7cuByfmzRpkhdL8q5ixYqkpKRQqFAhu1M84lqobc+ePXTq1InmzZvz5ptv2lzlmTNnznD48GFq1KjBPffcY3dOFsOHDycmJoaEhIQsH4xNPXmbHSlXckk6UQcwduxYGjVqxJ49e3j11VdZs2YNtWvXtjsrW9HR0WzYsIGbN2/y/fff252TJ998802Wx4oXL859991H4cKFeeedd2yoyl6lSpWoVKkS27Zty/X7Ro4cyRtvvOGlqpxJ63Xx8/MjJSXFOtl85swZEXdOSdqXQd5xcnBwMJcvX6ZEiRJ2p3hs48aNWR4rXrw4devWpXz58kycONH7UUokHcRWSqlcnDt3jvj4eNLS0qzHpNy6nh3TPuBLvE2yY8eOdOzY0e6MPJG2nSVu48w2bNjgdruyaVxXJ1apUoXevXvTpk0bt5MFpl6p6HA4iIuLY9u2bSxatAjIuOrSRJkHQr7++msiIyOpXbs2R48eJSoqirZt29pc6K5169a0bt2a6OjoXE/MmC7zFYsmk3SiDjIGzgYOHMiWLVto1aoVzZo1o3fv3gwdOtTutCwaNGhAgwYNCAoKYuDAgXbn5El0dDQ//PADwcHBOBwOTp48yX333ceVK1d44403aNKkid2JefbTTz/ZnZAnpvVGREQwaNAgEhISmD17Nlu2bGHEiBF2Z92WtH1ZynGya87rokWLEh4eTvPmzd1+h2S+y8A0W7Zs4ZtvvuHBBx/E4XCwb98+6tevz7FjxxgzZoz4hXeV9+ggtlJK5eCdd97h3XffJTg42LrqweFwiLl1PTumTRsg8TZJkwcncyJtO0vcxpktX77c6NeQ+erEqlWr8ssvv9hY47moqCgWLVpE9+7dqVSpEseOHTPug7DLjz/+aP35nXfeYf78+TRq1Ijjx48zfPhw4waxXcaNG8fhw4f56aef6Ny5M5cvX+bGjRuUK1fO7jSPSBmAl3aizvX7olChQly8eJGSJUty8eJFm6tyN3DgQD788EOOHTvGCy+8wNmzZ7l06ZLRU0fUqVOHMWPG8PDDDwMZa7Rs2LCBv/zlL0RFRREbG2tzofK2Tp06ERwczI4dO0hJSWHmzJkiTtZJ25elHCe71j0qXrw41apVs7kmb4oVK8aGDRus7l9++YU333yTmJgYXnzxRR3EVh7TQWyllMrB+vXr+fjjj7nrrrvsTimwJN0muXTpUp599tkcV/42+eoHKdtZ8jbOzLQ7Hm4ldfX6Bg0a8PbbbwOQmJjIfffdZ+ygZeYThpcuXaJRo0YA3HvvvW539phm5cqVrFmzhmvXrtG5c2cuXbrE2LFjjZ5eq3fv3llO0JYoUYKGDRvyzDPPGDldjsknubJz7733cvHiRTp27EiPHj0IDAykTp06dmflas6cOfzrX//i1KlTvPDCCzgcDqKiooiJibE7LUeHDx9m6tSp1tchISFER0dTr149UlNTbSxTdmrUqJH1O0QKafuylOPkwYMH253whx0/ftxt4L1q1aqcOHGCypUrG7mtlbl0EFsppXJQpkyZAjeAbdrgmqTbJIsVKwb89yoISaRsZ8nbOLO+ffvanZBnQ4YMYd68eXZneKxv375GLirn8ttvvzFt2jScTicXL14kLS0NX19fAKMHsdeuXcvatWvp1asXkDHljOlX3NatW5ejR4/SuXNnHA4HGzdupFy5chw+fJjJkyczefJkuxMt0k7U/fjjj1SvXp1Zs2YB0KdPH+rWrcvly5dp3ry5zXW527FjBxs2bKBr164AlCtXjqSkJJurcufj48M333xjTVv3zTffuN0JqO488fHxLFmyhFOnTrkN/ma3aKlJpO3LUo6Ts9OzZ0/WrFljd8ZtBQQEsHHjRjp16gTApk2bCAgIsLlKSaSD2EopdYsjR44A0LRpU6ZMmUJYWJjblVy3WzzRZNOnT7c7wY2k2yRdgzoSr4KQsp0lb2OXhIQEypcvz7lz58RMwQAZH5QlMe2E3K0iIiKsP3fv3p1Lly5x9913c/bsWaOvYC1UqBBFihRxe8w1+G6q/fv3s3LlSquzffv2REREsGrVKsLCwmyucyftRN2oUaPYsGEDTz31FKtXrwbgwQcftLnKM0WKFDF+373V66+/zrBhw6xFbFNTU3nzzTdJSkoSeXIUEHeFpWm9Q4cOJTQ0lIiICFH7s7R9WcpxcnZu3rxpd4JHpk6dyqhRo6w76GrVqsWMGTO4du2acXOPK7PpILZSSt3ipZdecvt6x44d1p8dDofb16b597//zZtvvkl8fLzbFRuuZhMH4KXdJpndwluuW9fr169vQ5FnJG1nSdt41KhRvPrqq9x9993s3r2byMhIKleuzK+//srkyZNp06aN3YkeMX1Q+FZVqlSxOyFXOZ2IKV++vHEnEzMrXbo0x44ds66Ui42NpWLFijZX5e7ixYtuV/Y5HA4SExPx8/NzW/DKBNJO1N28eZO4uDjOnTuX7bFP69atbajyTFBQEN9++y0Oh4OUlBQWLVpk5DEQwJdffskjjzxCjRo1+Pjjj611Cu677z7rIgqTp6BJT0/n999/d7vLJCgoCMiYms80knpv3rzJ8OHD7c7wmOR9WdJxcma3nng2jWuxc6fTybp167h69SoAgYGB1vc88sgjduUpgRxOaZ9alFLKS3bs2EHjxo0pWbIkkDEH63fffUfLli1tLstZWFgYERERNGzY0O2KjerVq9tYlTOJt0kOGzaMvXv38thjj+FwOPj0009p2LAhP/74IxERETzzzDN2J2YhbTtL2sYdO3Zk8+bNADz99NOMHTuW2rVrc+rUKYYMGcLGjRvtDfTQlStXxFwdmpycbOQ8x9lJTk5m2bJlfPXVVzgcDkJDQ+nbt6+x/SdOnGDYsGH89NNPlCpVisDAQBYuXEhwcLDdaTmaMGECp06dsq663rp1K5UqVWLUqFH069ePtWvX2lyYlZQTdTt27CAmJoZvv/2WunXruj3ncDiM/R0CcP78eV599VX27NmDw+Hg4Ycf5o033qB06dJ2p2XRpUsXYmNjCQ8PN3qapOzExsYSHR2Nv7+/dTLJ4XCwe/dum8uyJ613+PDhDB8+3BpkN53UfVnacbIkUvcJZS69ElsppXIwd+5cNm3aZH1dokQJ5s6da/Qgto+Pj3WllwQSb5NMTExk48aNlClTBsj4oDxq1CjWrFlj3ACri7TtLGkbZ76N8/r169SuXRuA4OBgo+c+zuzMmTMcPnyYGjVqcM8999idk6MjR44wYsQILl++zOeff87hw4eJi4sz+jbUqKgoLl68yNNPPw1kDKBERUUZubhmWloaR44c4e9//zvHjh3D6XRy3333Gf+eMW7cONasWWNdKdyyZUt69uyJn5+fkQPYAL/88ku2J+pWrlxp1Htc69atad26NdHR0cYuopqdtLQ04uLiePfdd7l+/TpOp9OaysVEKSkpLF68mAsXLmQ7aGbK/pCdt99+m3Xr1lG1alW7UzwirTchIYFOnTrRsGFDtztLsjsRZgKp+7K04+TM+vXrx3vvvWd3Rq6ioqI4e/Zstsc+pq0Focyng9hKKeUhh8Nh/KBUo0aN+Ne//kW9evXsTvGItNskAc6ePWsNrkLGAqDnzp2jVKlS1tx/ppG2nSVt42bNmhEdHU1kZCRNmzZl8+bNhIWF8fnnnxu7MOzIkSN54403APj666+JjIykdu3aHD16lKioKNq2bWtzYfamTJnChAkTiI6OBqBOnTq8+uqrRg9i79+/n23btllX/LVs2ZIOHTrYXJU9X19fFi5cSLt27ahWrZrdObflWoz0vffeY8CAAW7zkJtO0ok6yDhRcPjwYX766Sc6d+7M5cuXuXHjhrHz/vv6+rJx40aeeeYZihYtanfObUVHR7NhwwZu3rzJ999/b3dOntx1111iBoRBXm/Hjh3p2LGj3Rkek7ovSzlOzm4qqgMHDliPm3hyY86cOWzbtg0fHx8xd/wps5n1SVAppQwSEBDAd999Z82Ptm/fPuNXUf7222/5+9//TpUqVdyu2DD19q0aNWpw+vRpMbdJQsactvPnz6dr165AxvyJ5cqVIy0tzcgV10Hedpa0jV999VVmzZrFo48+SsmSJTl9+jSjR4+mSZMmTJkyxe68bP3444/Wn9955x3mz59Po0aNOH78OMOHDzd2EDspKcltoSWHw4G/v7+NRbdXqlQpbty4YQ2kJScnG3tyA+BPf/oT3377rYgFrVxXi8fFxTFgwAC7c/JE0ok6gJUrV7JmzRquXbtG586duXTpEmPHjmXFihV2p+XIdVJRwgBggwYNaNCgAUFBQQwcONDunDxp06YNy5YtIywszO24M/N8tyaR1mvq/NE5kbovSzlO3r9/Py1btrQW2HU6nXz77bdGr08QHBzMwIEDKVeuHJ07d7Y7RxUA5h0lKaWUIUaOHMngwYOtKzaOHz/OggULbK7K3fjx4+1OyBNpt0kCTJ8+nejoaOtArEmTJkybNo3U1FRmzJhhb1wOpG1nSdu4UKFCjBkzhsjISE6ePElaWhoVK1Y0eqAy84mAS5cuWSfq7r33XqPvNvHz8yMlJcXqP3PmDD4+PjZX5a5q1ar06NGD9u3bA/Dhhx9Sr1496zZr0664PXjwIBs2bCA4ONht+gUTT4TWr1+fRo0akZycTEhIiPW40+nE4XCwd+9eG+tyJ+lEHcDatWtZu3atNV1ZlSpVuHjxos1VuVuzZg1Xrlxh7NixFC1aVMR+cf/993P58mVKlCgBZFyxv3//fh577DF7w3Ixe/ZsIOP3tsPhsLazqVfhSuldunQpzz77bI5TT5k+BYO0fVnKcfLmzZuJiorihx9+IDIykkKFCrFgwQIRJztu3rzJpUuXKFWqFJCxKPPHH39Mjx497A1T4uggtlJK5eCBBx4gLi6OAwcOWF+7DsZMlfmDfHYyTyNgAmm3SQKULVuWOXPmZPtczZo1vVzjGWnbWeI2Llq0qNXmWondVL/99hvTpk3D6XRy8eJF0tLSrDkgTR7EjoiIYNCgQSQkJDB79my2bNnCiBEj7M7KldPppG7dusTHxwMZU6Ckp6cbN2Di8vrrr9ud4LGpU6cybNgw+vTpw+LFi+3OyRNJJ+og42RdkSJF3B4zfd5YKYvqZjZnzpwsa7HMmTPH2IE/yFirIDemLcQrpdd1ElHq9AvS9mUpx8l333038+fPZ926dURERIi6eGnVqlX07NnT+vquu+5i1apVOoit8kwHsZVSKhclS5akRYsWdmf8z/z00092J7gxeaAvNwcPHrSuunUx+RY5idtZ2jbObPny5UZv88xzB3fv3p1Lly5x9913c/bsWerUqWNjWe46depEcHAwO3bsICUlhZkzZxo/7YWJCzjmJvOJ0B9//JHq1avbWHN7ZcqUISYmRtxAj7QTdaVLl+bYsWPWVeKxsbFUrFjR5qrcVapUyfrzl19+ySOPPGJjzR8jYS2W2+nZs6eRd3LkxJRe110P2c2BLJHp+7LJx2zZ6datGw8//DBjx44lKSnJ7hyPOJ3OLI+ZvE8oc+kgtlJKKa+TfJtkVFQUX3zxBbVr17amMnA4HEYOsErdzpK2cXayO1A3SU4fisuXL8/06dO9XJM3jRo1sqY/MZ3rir9atWpx/Phxdu7cSc2aNQkNDbW5zDOjRo0yYjDndoYNG8bMmTOtKXwSEhIYPXo0ixYtsrksd5JO1I0ZM4Zhw4bxyy+/0KJFCwIDA1m4cKHdWR6bNWuWiEFsiWux3I7pvw9vZVpvdtNZlChRgoYNG1K/fn0bijwjZV+WepwMGXNNL1++nKtXr9qd4pGyZcsSFxfHE088AUBcXJyxiwMrs+kgtlJKKa+TfJvk7t27iYuLc5szz1RSt7OkbZydvn372p3gkeTkZJYtW8ZXX32Fw+EgNDSUvn37GnErdXbi4+NZsmQJp06dIjU11XrcNb+0SVasWMHSpUtJTU3lueeeY9OmTdSvX5/Vq1fTr18/6yo7k5k2mJOTc+fOuc1BX7p0ac6dO2dj0e1JOlGXlpbGkSNH+Pvf/24tpnnfffcZP51IZlL2ZYlrsdyOiXO858a03l9++YW9e/fy2GOP4XA4+PTTT2nYsCErV64kIiLCuHUVXKTsy1KPk8PDw+nWrRthYWHGT3XpMmbMGF566SVmzZoFQJEiRXj77bdtrlIS6SC2Ukopr5N8m2TZsmWNHeS7ldTtLGkbu0yYMIEJEyYA/72aMvNjJoqKiuLixYs8/fTTQMYUAVFRUcZOgTF06FBCQ0OJiIgwfgBt7dq1bN26laSkJNq0acP27dsJCgoiISGBZ599VsQgtulTtbikp6eTmpqKn1/Gx5rk5GRSUlJsrsqdpBN1vr6+LFy4kHbt2lGtWjW7c/4Q15V/prvdWiymzNesvCcxMZGNGzdSpkwZAM6fP8+oUaNYs2aN0YPYUvZlqcfJo0ePJjY2lrlz5xIaGkrXrl1p1qyZcSdhMqtWrRpxcXEcO3YMIMvJ0FOnThEcHGxXnhJEB7GVUuoO4rriyxQSb5OsX78+L7/8Mo8//rjbAETr1q1trMqdtO0scRsfPHgwy2P79++3ocRz+/fvZ9u2bdaHnpYtW9KhQwebq3J28+ZNhg8fbneGR3x9fQkICCAgIIAqVaoQFBQEZFwlbPKHzMzGjRtnd4JHmjdvziuvvGIN5ixfvpxHH33U5qrcSTtR96c//Ylvv/1WzImNWw0cONDuBI/lthaLKfM154WUq+BdTOs9e/asNYANGesAnDt3jlKlSlkn7kwlaV+WdpwcEhJCSEgI165dY/v27SxevJjx48ezc+dOu9Ny5evry/3335/tcy+//LJR+4Qyl9nvfEoppfLswIEDbtMDNGzY0Hpu/fr19oVlQ+JtkocPHwZg9erV1mMOh8PoAVZp21nSNo6Li+Mf//gH8fHxblfyXLlyxbpN1VSlSpXixo0bFC1aFMi4MirztAymqVGjBqdPn7YGhE2WeZ7jIUOGuD2XnJzs7RyP9e7dO8sgu+uD/DPPPGPkwGtkZCSLFi3ijTfeAKBVq1YMGDDA5qrcSTtRd/DgQTZs2EBwcLDb+5rJAw6tWrXKcV9+5ZVXKFWqlD1h/wemDbB6okGDBnYn5IlpveXLl2f+/Pl07doVyDiOL1euHGlpaWJOiGbHtH1Z2nGyy7Vr10hISODChQvipkS5lWn7hDKXDmIrpVQB8u677/LBBx/Qtm1bIGPBq969e9OvXz+by7In8TbJFStW2J2QZ9K2s6RtXLVqVVq3bs1//vMftwGowMBA4xfwq1q1Kj169KB9+/YAfPjhh9SrV8+aY9q0/SIhIYFOnTrRsGFDt4G/7K6gsluvXr24evUqgYGBtGvXznr8559/5sEHH7SxLHd169bl6NGjdO7cGYfDwcaNGylXrhyHDx9m8uTJTJ482e7ELPz9/Rk8eLCo28ElnagDeP311+1OyLOOHTty9uxZunXrBmRMl1SiRAmcTidRUVHMmTPH5sK8kzJo+emnn9KyZUsAJk6caHPN7ZncO336dKKjo61pypo0acK0adNITU1lxowZ9sb9H5i2L0s7Tv7oo4+IjY3l4MGDtG/fnunTpxt5xXhemLZPKHPpILZSShUga9euJTY21rqa8qWXXqJnz57GDmJLvE0yNTWV5cuXc/LkSSZMmMDJkyf59ddfjR6wlLadJW3jWrVqUatWLR577DFKly4NZHwYKlmypM1lt+d0Oqlbty7x8fEA1KlTh/T0dL7//nuby7LXsWNHOnbsaHeGRyIiIrJ9vFq1akyaNMnLNZ7bv38/K1eutOapbN++PREREaxatYqwsDCb626vZ8+erFmzxu6M25J0og4ybl13+fHHH6levbqNNZ758ssv+fvf/2593ahRI7p37866devEzJEt1cSJE61BYQlM7i1btmyOJ1xq1qzp5ZqCS9pxckxMDF26dGHOnDki1lZQ6n/JvJ9IpZRSf1hAQIDbdAClSpUiICDAxqLcSbxNctKkSaSnp7Nv3z4gYxsPHTqU2NhYm8tyJm07S9zGrgFsgL59+xp9m72LqQs45iQ8PNzuhDwLDw+nW7duPPnkkyJObFy8eNHtPcHhcJCYmIifn5+ID8o3b960O8Ejkk7U3WrUqFEi3t8SExO5fv26NV3S9evXuXLlCoCIfTk7Jt1un9PvD6fTaW1nk0jrzezgwYOcPHnSbZoq15XZUpm0L4O84+SlS5daf96wYYPI46NbmbZPKHPpILZSShUgTZo04bXXXnO7fbZp06YcOXIEyLhq1CQSb5M8ePAgmzZtsppLlChBamqqvVG3IW07S9zGmUk4EM/8nnD8+HF27txJzZo1jRxEW7p0Kc8++2yOgxCjR4/2cpHnRo8eTWxsLHPnziU0NJSuXbvSrFkzIz8UA4SGhjJgwADrquutW7fSpEkTkpKSjJwP+1ZFihSxO8EjEk/UuUh4fwN48skn3aZL+uijj+jQoQNJSUlUqlTJ5ro/xqT5mletWkX//v2tuzYyM/H9TVqvS1RUFF988QW1a9e2Fmd3OBziB7FN2pdB3nFyZsuXLy8Qg9iuqTCVuh0dxFZKqQJk+/btAOzdu9ft8bi4OBwOBzt27LAjK0cSb5O89QqutLQ04z/US9vOErdxZlWqVLE7IVcrVqxg6dKlpKam8txzz7Fp0ybq16/P6tWr6devH7169bI70Y1rITmJixaFhIQQEhLCtWvX2L59O4sXL2b8+PHs3LnT7rRsjRs3jjVr1li/K1q2bEnPnj3x8/Nj7dq1NtfdXkxMjN0JHpF8oq5x48Z2J3jk5ZdfpkGDBuzevRvIWAD0scceA8ycRz8nps7XXL16ddq3b5/tMUTmaVxMIa3XZffu3cTFxYm9eyAzU/dlkHecnJnpx8fJycmsX7+eChUq0LJlS9atW8fXX39N9erV6du3r3WCfNCgQTaXKil0EFsppQqQTz75xO6EPJN2m2TNmjXZtGkT6enpnDhxgiVLlrjNF2oqSdtZ6jaGjIP1uXPn2p2Rq7Vr17J161aSkpJo06YN27dvJygoiISEBJ599lnjBrFdPZIW7rvVtWvXSEhI4MKFC0YOxg8ZMoR58+bx3nvvMWDAgBzn9DaJpx+MTST5RN24cePsTsiVa170KVOmMHbsWFq0aGF30v+JqfM1v/LKKzne+TB9+nQv19yetF6XsmXLGv1elhem7ssuko6TM+vbt6/dCbmKiori999/58aNG+zcuZNjx47Rrl07vvjiC06ePEl0dLTdiUoYHcRWSqkC5urVq8THx7sdhNWpU8fGopxJvE3ytddeY8aMGZw/f55evXrRtm1bRowYYXdWrqRtZ4nb+MiRI4wYMYLLly/z+eefc/jwYeLi4hg1apTdaVn4+voSEBBAQEAAVapUISgoCMiY19vk26qzu3qyRIkSNGzYkPr169tQdHsfffQRsbGxHDx4kPbt2zN9+nQjW48dO4bT6SQuLo4BAwbYneMRyR+MpZ2o6927d5b3BtfP3jPPPGPUINvly5c5f/48X3/9NVevXs3yfGBgoA1VuZM4X3NuJwdMnJZKWq9L/fr1efnll3n88cfdTn61bt3axqqcSdyXQd5xMsDp06f55ptv8PHx4fTp09axnGkOHTrE1q1buXnzJo888gi7du2iWLFi9OjRo0BMg6K8TwexlVKqAFm2bBlz5syhdOnS1rx/DoeDDz/80Oay7Em8TTIgIIBJkyYxadIku1M8Jm07S9zGU6ZMYcKECdbAWZ06dXj11VeNHMTOfIJryJAhbs8lJyd7O8djv/zyC3v37uWxxx7D4XDw6aef0rBhQ1auXElERATPPPOM3YlZxMTE0KVLF+bMmWP0z1/9+vVp1KgRycnJboOpTqcTh8ORZYoqE0j+YCztRF3dunU5evQonTt3xuFwsHHjRsqVK8fhw4eZPHkykydPtjvR8vjjj9O6dWuSk5OzTH3icDj4/vvvbSrLmdT5miWtrQDyegEOHz4MwOrVq63HHA6HsYPYUvdlacfJW7ZsITo6moceegin08nUqVMZP348HTp0sDstC19fXxwOB4ULF6Zw4cLWFHH+/v7WCQOl8kIHsZVSqgBZsWIF27dvp3z58naneET6bZKuW/BNJ3k7S9nGSUlJbgMmDocDf39/G4ty1qtXL65evUpgYCDt2rWzHv/555958MEHbSzLXWJiIhs3bqRMmTIAnD9/nlGjRrFmzRpjB7GXLl1q/XnDhg3GDq5OnTqVYcOG0adPHxYvXmx3jkckfzCWdqJu//79rFy50hqYat++PREREaxatcpaBNQUL7/8Mi+//DK9evUSM0e6xPmapa2tIK3XZcWKFXYn5InEfRnkHScvWLCAdevWERwcDEB8fDz9+/c3chA7KCiIGTNmkJSUxP3338/kyZMJCwtj165dlC1b1u48JZAOYiulVAFSvnx5MQPYIO82yVvFx8fbneARydtZyjb28/MjJSXFutLozJkzxg6k5TTfcbVq1YweVDt79qw1gA1QpkwZzp07R6lSpfDzM/+Qdvny5cYOYkPG9oyJiTFyzu7sFJQPxhJO1F28eNHtKkqHw0FiYiJ+fn7GXrn4/vvvW3cSQMZdBcnJyUb2SpyvWdraCtJ6XVJTU1m+fDknT55kwoQJnDx5kl9//dXYq8cl7ssg7zi5aNGi1gA2QOXKlSlatKiNRTmbOnUqCxcupGjRosybN4+tW7cyfvx4goODjVvgU8lg/hG/Ukopjz3//PNER0fz2GOPuR2EPfTQQzZW5UzabZK3krIQl+TtLGUbR0REMGjQIBISEpg9ezZbtmwxenoAgPDwcLp168aTTz5JyZIl7c65rfLlyzN//ny6du0KwPr16ylXrhxpaWlG36bsImFfHjZsGDNnzuSuu+4CICEhgdGjR7No0SKby7IqKB+MJZyoCw0NZcCAAdZV11u3bqVJkyYkJSUZe/Vinz59WLJkiXVS5urVqwwcONDt96ApJM7XLG1tBWm9LpMmTSI9PZ19+/YBUKpUKYYOHUpsbKzNZdmTuC+DvOPkFi1aMG/ePLp3747T6WT9+vW0bNnSWgfApLn/S5cuzZgxY6yvIyIiRCwercylg9hKKVWAHDhwgI0bN7Jv3z63hUnWrVtnc1n2pN0meSsp/VI6syOlvVOnTgQHB7Njxw5SUlKYOXNmlvlYTTN69GhiY2OZO3cuoaGhdO3alWbNmhn7gX769OlER0dbCy01adKEadOmkZqayowZM+yN80Dfvn3tTritc+fOWQPYkPHh89y5czYW5aygfDCWcHJj3LhxrFmzhh07dgDQsmVLevbsiZ+fH2vXrrW5LnvXr193u6ugePHiXLt2zcai3Embr1na2grSel0OHjzIpk2brN97JUqUIDU11d6o25C2L4OcY02XhQsXAhnTimT29ttvGzv3f2YS7kBS5tJBbKWUKkA2bdrEJ598QokSJexO8Yi02yQzO3PmDIcPH6ZGjRrcc889dufkSup2lrSNARo1akSjRo3szvBYSEgIISEhXLt2je3bt7N48WLGjx/Pzp077U7LVtmyZZkzZ062z2U3/6YpTp8+zTfffIOPjw+nT5+2rgA0UXp6Oqmpqdb0LMnJyaSkpNhc5TmJH4xNHjxxbc/33nuPAQMGiDpJkJ6eTlJSEgEBAUDGldiZBzJNInG+ZmlrK0jrdbl1+pu0tDSjT3xJ3JdB3nGy60SBVBLuQFLm0kFspZQqQIKCgsQMYIOs2yRHjhzJG2+8AcDXX39NZGQktWvX5ujRo0RFRdG2bVubC3MmZTtL3sbx8fEsWbKEU6dOuV0ltXz5churPHPt2jUSEhK4cOGC8fMhHzx4kJMnT7oNRrmuUDPRli1biI6O5qGHHsLpdDJ16lTGjx9v5OJLAM2bN+eVV16xFslcvnw5jz76qM1VnpP2wdj0E3XHjh3D6XQSFxfHgAED7M7Jk7CwMLdBs5iYGGPfKyTO1yxtbQVpvS41a9Zk06ZNpKenc+LECZYsWUJISIjdWTmSuC+DnONkyDiRERYWRlxcnN0pf5jJJ2KU+XQQWymlCpB69erxyiuv0K5dOxELk0i6TfLHH3+0/vzOO+8wf/58GjVqxPHjxxk+fLjRA6xStrPkbTx06FBCQ0OJiIjA19fX7hyPfPTRR8TGxnLw4EHat2/P9OnTqV+/vt1ZOYqKiuKLL76gdu3abtMlmTowBRm3+q5bt85agCk+Pp7+/fsbO4gdGRnJokWLrJNJrVq1EjV4afoHY2kn6urXr0+jRo1ITk52GzhzLZi4d+9eG+tyN3DgQMqWLWvdWRIREUGnTp3sjcqB1PmabyXtTggJva+99hozZszg/Pnz9OrVi7Zt2xq93obUfVnKcTJkbOPSpUtz/fp1YxdzvB2T70BS5tNBbKWUKkCkLUwi6TbJzAffly5dsqaNuPfee429RdlFynaWvI1v3rzJ8OHD7c7Ik5iYGLp06cKcOXOy7CMm2r17N3FxcSJaXYoWLWoNYANUrlzZ6A+d/v7+DB48mMGDB9ud8oeY/sFY2om6qVOnMmzYMPr06cPixYvtzsmz8PBwwsPDSUxMNHrxWqnzNd9K2p0QEnoDAgKYNGmS0VeLZyZ1X5ZynOxSpUoVnnrqKdq3b0+xYsWsx113UZkoJiaGDh06ULx4cWbPns2BAwcYPXo0Dz30kN1pShgdxFZKqQLE9A/wt5J0m+Rvv/3GtGnTcDqdXLx4kbS0NOuKW9MHWKVsZ8nbuEaNGsbPd3yrpUuXWn/esGED4eHhNtbcXtmyZSlUqJDdGXnSokUL5s2bR/fu3XE6naxfv56WLVty9epVAAIDA20uzFnPnj1Zs2aN3Rm3JemDscQTdWXKlCEmJsb4qYZy07dvXzZs2GB3Ro6kztd8K5MH/bIjrVfCleNS92Upx8kuTqeT2rVrc+LECbtTPLZy5Up69erFvn37+OGHH4iMjGTGjBmsW7fO7jQljMMp7d1bKaVUrlJSUoiPj+fmzZvWY7Vq1bKxKGdJSUnMmDGDf/7znzidTtq2bcvo0aONvFJx/vz5bl8/9dRT3H333Zw9e5bZs2czffp0m8puT8p2lryN+/Xrx+HDh2nYsKHbFT23viZThYeHGz3IAzBjxgzi4+N5/PHHRUyXBLm/9zocDr7//nsv1uRN586d2bhxo90ZtxUWFsaWLVvYt28fs2fP5vnnn2fOnDlGfjAODQ2lY8eOOJ1OPvzwQz755BPrRJ3rdZhowIABzJw5k7vuuguAhIQERo8ezaJFi2wu84yUfVm6K1euiDrZIa1Xwu9pqaQcJ0vm2n8XLFhAuXLl6N69u+7T6g/RK7GVUqoA+fTTTxk/fjyJiYkUK1aMxMREgoKC+OSTT+xOy5ak2yRzur2+fPnyRg+ugpztLHkbd+zYkY4dO9qd8YdJuKZB2nRJAEeOHLE74Q8rUqSI3Qke8fPL+DizZ88eOnXqRPPmzXnzzTdtrspe5sXlunfvzqVLl6wTdXXq1LGxLHfnzp2zBrAhY37bc+fO2ViUN1WqVLE7Ic8kXHULsu6EAHm9mUn4PZ0dCfuylOPkvXv3EhISwo4dO7J93uTjIYfDQVxcHNu2bbNOgKakpNhcpSTSQWyllCpA5syZw5o1axg0aBAbN25k06ZNYgZRJBzkQsacfsuWLeOrr77C4XAQGhpK3759xUxzIGE7S9zGpk/FcTt9+/a1O+G2pE2XlJaWRlhYGHFxcXan/CExMTF2J3hE0gdjqSfq0tPTSU1NtU4YJCcnG7uNb5WcnMzcuXPtzsgzCfM1g7wpAqT1Zibtd6CLlH3ZxeTj5M2bNxMSEsKyZcuyPGf6Sf2oqCgWLVpE9+7dqVSpEseOHaNJkyZ2ZymBdBBbKaUKEB8fHypVqmTNrdmpUyfef/99m6s8I+UgNyoqiosXL/L0008DEBsbS1RUFNOmTbO5zDMStrOkbbx06VKeffbZHNtGjx7t5aK8OX36NN988w0+Pj7Gz+mdmprK8uXLOXnyJBMmTODkyZP8+uuvhIaG2p2WLV9fX0qXLs3169eNvyU5OTmZ9evXU6FCBVq2bMm6dev4+uuvqV69uvEnkCR+MJZ2oq558+a88sor1qJhy5cv59FHH7W5KndHjhxhxIgRXL58mc8//5zDhw8TFxfHqFGj7E7ziJSrbiXdCQHyel3OnDnD4cOHqVGjBvfcc4/dOXkiZV92Mfk4OTo6GpB5QqNBgwa8/fbbACQmJnLfffcxbtw4m6uURDqIrZRSBYjr4Lx8+fJ8/PHHVKpUicTERJurPCPlIHf//v1s27bNWqCrZcuWdOjQweYqz0nYzpK2sWtVeEnzarps2bKF6OhoHnroIZxOJ1OnTmX8+PHGbutJkyaRnp7Ovn37AChVqhRDhw4lNjbW5rKcValShaeeeor27dtb+wpgDQaaIioqit9//50bN26wc+dOjh07Rrt27fjiiy84efKk9cHZRBI/GEs6UQcQGRnJokWLeOONNwBo1aoVAwYMsLkqd1OmTGHChAnWvlunTh1effVVMYPYUgapJN0JAXJ6R44caf28ff3110RGRlK7dm2OHj1KVFQUbdu2tbnQc1L2ZRcJx8mQMc1TfHy826LAEqbFAfMX21Vm00FspZQqQJ555hkSExMZOnQow4YN4/Lly4wdO9buLI9IOcgtVaoUN27csK6sTE5Odpsr1HQStrOkbdyrVy8g52kCTLZgwQLWrVtHcHAwkHH1Uf/+/Y0dxD548CCbNm2ic+fOAJQoUYLU1FR7o27D6XRSu3ZtTpw4YXdKrg4dOsTWrVu5efMmjzzyCLt27aJYsWL06NFD1FQ5Uj4YSzpRB+Dv78/gwYNFvc8lJSXRuHFj62uHw4G/v7+NRbcncb5maXdCSOn98ccfrT+/8847zJ8/n0aNGnH8+HGGDx9u/CC2xH3ZRcJx8jvvvMO7775LcHAwPj4+QMZ7nIRpcUDOiQJlJh3EVkqpAiItLQ1/f39KlixJyZIl+eijj+xO8pik2ySrVq1Kjx49aN++PQAffvgh9erVY/ny5YB5V1hmJmU7S9zG8+fPz/JYiRIlaNiwIfXr17eh6PaKFi1qDWADVK64bKVzAABOlUlEQVRc2ehpLwoXLuz2dVpamvEfhEy9svZWvr6+OBwOChcuTOHCha2rxv39/a0PyBKYvj+4SDpRd6uePXuyZs0auzNuy8/Pj5SUFOtEwZkzZ4zflyXO1yztTggpva79FuDSpUs0atQIgHvvvdftyltTSdyXQc5x8vr16/n444/F/N64lcTFdpU5zP5NrpRSymO+vr4sXLjQ7gyPjBw50vrz119/TdeuXYmJiSEiIoKPP/7YxrLbczqd1K1bl/j4eOLj46lTpw7p6el8//33fP/993bnuZG6nSVtY5dffvmFmJgYfvvtN86ePUtMTAx79+5l5MiR1uC7aVq0aMG8efP47bffOHPmDPPnz6dly5ZcvXqVq1ev2p2XRc2aNdm0aRPp6emcOHGCqKgoQkJC7M7K1t69ewHYsWNHtv8zTVBQEDNmzCAqKor777+fyZMnc+DAAebNm0fZsmXtzvOYlA/GrhN1CxYsYMGCBfTs2ZOqVauyfPlyY98vXG7evGl3gkciIiIYNGgQCQkJzJ49m4iICPr37293Vq6ym69ZwoCli4QFgjMzufe3335j2rRpTJ06lYsXL7rtBxL2CSn7stTj5DJlyogdwJa62K4yh16JrZRSBcif/vQnvv32W7dbaE0k+TZJKVdWgtztLGkbuyQmJrJx40bKlCkDwPnz5xk1ahRr1qwhIiLCyKvHXSe9FixY4Pb422+/jcPhMO6EwWuvvcaMGTM4f/48vXr1om3btowYMcLurGxt3ryZkJAQli1bluU5h8NB69atvR+Vi6lTp7Jw4UKKFi3KvHnz2Lp1K+PHjyc4OJiJEyfanecRSR+MM5+oA9xO1JmuSJEidid4pFOnTgQHB7Njxw5SUlKYOXOm8cdGUuZrzomUOyFcTO6NiIiw/ty9e3cuXbrE3XffzdmzZ6lTp46NZZ6Rsi9LO04+cuQIAE2bNmXKlCmEhYW5LQhcq1Ytu9JuS/piu8ocOoitlFIFyMGDB9mwYQPBwcFui4iZNkeo1NskXQePtWrV4vjx4+zcuZOaNWsSGhpqc1n2JG5nadvY5ezZs9YANmRcJXPu3DlKlSplXZFkGte2liIgIIBJkyYxadIku1Nuy7WYnIS5NQFKly7NmDFjrK8jIiLcBlFMJvGDscQTdS4xMTF2J3isUaNG1u89CaTM15wTKXdCuJjcm9P88+XLl2f69Olersk7KfuytOPkl156ye3rzHd2ORwOI+/0cpG+2K4yh5mfqpRSSv0hr7/+ut0JHnHdJul0Oq3bJH19fQFzb5NcsWIFS5cuJTU1leeee45NmzZRv359Vq9eTb9+/awF/kwibTtL3MYu5cuXZ/78+XTt2hXImK+wXLlypKWluX1IMkVaWhphYWHExcXZnfKHDBkyhHnz5tmd4ZFz584RHx/v9jMnYXErKdtY2gdjSSfqkpOTWb9+PRUqVKBly5asW7eOr7/+murVq9O3b1+3KwBNEx8fz5IlSzh16pTbArAmT9ciZb7m7Ei6EwLk9CYnJ7Ns2TK++uorHA4HoaGhxv/sgZx9Wdpx8ieffAJkDF43btyYkiVLAhnb+LvvvrMz7bYkLrarzKSD2EopVYBknh/2xx9/pHr16jbW5EzibZJr165l69atJCUl0aZNG7Zv305QUBAJCQk8++yzRg6wStvOErexy/Tp04mOjqZz584ANGnShGnTppGamsqMGTPsjcuGr68vpUuX5vr160Yv5pgT1zQMpnvnnXd49913CQ4OthaVczgcxi9uBXK2saQPxtJO1EVFRfH7779z48YNdu7cybFjx2jXrh1ffPEFJ0+etE4cmGjo0KGEhoYSERFhDUpJ0rdvX+PuosuOtDshpPVGRUVx8eJFnn76aQBiY2OJiooSdTeHyfuytONkl7lz57Jp0ybr6xIlSjB37lxatmxpY1XuJC62q8ykg9hKKVVAjRo1ytiDRom3Sfr6+hIQEEBAQABVqlQhKCgIyLgN38QrbUHedpa4jV3Kli3LnDlzsn2uZs2aXq7xTJUqVXjqqado37692/RDJs7ffSuT5zLNbP369Xz88cciF2CSso0lfTCWdqLu0KFDbN26lZs3b/LII4+wa9cuihUrRo8ePQgPD7c7L1c3b95k+PDhdmf8YVJ+/qTdCSGtd//+/Wzbts16f2vZsiUdOnSwuSpvTN6XpR0n58ThcBh55Xhmty62u2XLFmPXNVFm00FspZQqoEw+aHSRdJtk5oPDIUOGuD2XnJzs7Zw8kbKdJW9jyJiT/uTJk26vw3VltomcTie1a9fmxIkTdqfkmZS5psuUKSNyABvkbGNJH4ylnajz9fXF4XBQuHBhChcubJ3s8vf3N/ZEgUuNGjU4ffq0tY2lMXm+5swk3QkB8npLlSrFjRs3rDumkpOTxf1OkbAvSzlOdgkICOC7776z5vDet28fAQEBNlflTuJiu8pMOoitlFIFlIQDA0m3Sfbq1YurV68SGBhIu3btrMd//vlnHnzwQRvLbk/Kdpa+jb/44gtq167tNm2EyYPYpv3399SZM2c4fPgwNWrU4J577rE7J1uueY+bNm3KlClTCAsLc/swXKtWLbvSchUTE0OHDh0oXrw4s2fP5sCBA4wePdroObwlfTCWdqIuKCiIGTNmkJSUxP3338/kyZMJCwtj165dlC1b1u68XCUkJNCpUycaNmxI4cKFrcfnz59vY5VnpMzXDLLuhAB5vVWrVqVHjx60b98egA8//JB69epZc7ubfueUlH1ZynGyy8iRIxk8eDBVq1YF4Pjx4yxYsMDmqtuTttiuMpPDKeFSPaWUUgVS+/bt3W6TTEtLo0OHDmzfvt3msoJFt3P++/Of/8yWLVvcBktMtXfvXkJCQnJcxb5169ZeLsrdyJEjeeONNwD4+uuviYyMpHbt2hw9epSoqCjatm1rc2FWrVq1yvE5h8OR47a3W1hYGFu2bGHfvn3Mnj2b559/njlz5oiYw1uClStX0qlTJwIDA90e//nnn3n//feZNGmSTWXZS0hIYOHChTgcDl566SW2bt1KTEwMwcHBjBkzhsqVK9udmKOcplMzeRoUafM1A2zatIl//OMfHD16lM6dO1t3QjzxxBN2p2VLWu/o0aNzfd7UQVZp+7LE4+TExEQOHDgAwAMPPECJEiXsDboNiYvtKjPpldhKKVWA9O7dO8stySVKlKBhw4Y888wzxt0WJ/E2yfDwcLp168aTTz5prQpuOmnbWeI2Llu2rHE/XznZvHkzISEhLFu2LMtzDofDuEHsH3/80frzO++8w/z582nUqBHHjx9n+PDhRg5if/LJJwDs2LGDxo0bW/txYmIi3333nZ1pufLzy/hosGfPHjp16kTz5s158803ba7KnaQPxpkXEcusWrVqxg1gQ8Y0J2PGjLG+joiIyPE1mMbkweqcSJuvGWTdCQHyek0dpL4dafuytONkgJIlS9KiRQu7MzwmfbFdZQ4dxFZKqQKkbt261tUlDoeDjRs3Uq5cOQ4fPszkyZOZPHmy3YluJN4mOXr0aGJjY5k7dy6hoaF07dqVZs2aGTmfqYu07SxxG9evX5+XX36Zxx9/3O1qbNMGhAHrQ6WUOY8z/3e/dOmSdSvqvffea/xCRnPnzmXTpk3W1yVKlGDu3Lm0bNnSxqqcORwO4uLi2LZtG4sWLQIgJSXF5qrcSfxgLPFEncuQIUOYN2+e3Rk5Wrp0Kc8++2yOg3+3u7LVTtLma3aRNkWAlF7XtFS1atXi+PHj7Ny5k5o1axIaGmpz2e1J25elHSdLJH2xXWUOHcRWSqkCZP/+/axcudL6IN++fXsiIiJYtWoVYWFhNtdl5XQ6qVu3LvHx8UDGlRrp6el8//33NpflLCQkhJCQEK5du8b27dtZvHgx48ePZ+fOnXan5Ujadpa4jQ8fPgzA6tWrrcdMvKr5VufOnSM+Pt5tMNi0+Y9/++03pk2bhtPp5OLFi6SlpVnvcaYPYt/K4XAY3RwVFcWiRYvo3r07lSpV4tixYzRp0sTurFxJ/GAs8USdi+v3iKlci08WL17c5pK8kzZfM8i6EwLk9K5YsYKlS5eSmprKc889x6ZNm6hfvz6rV6+mX79+9OrVy+7EXEnbl6UdJ0skfbFdZQ4dxFZKqQLk4sWLbh+CHQ4HiYmJ+Pn5GTlXr9TbJAGuXbtGQkICFy5cMP7DstTtLGkbS7mqObN33nmHd999l+DgYLfFKE2b/zjz9AXdu3fn0qVL3H333Zw9e5Y6derYWHZ7AQEBfPfdd9ZVf/v27SMgIMDmqpw1aNCAt99+G8iY+uS+++5j3LhxNlflTuIHY4kn6lxMX07JNbg3ePBgm0vyLiIigkGDBpGQkMDs2bOt+ZpNJu1OCCm9a9euZevWrSQlJdGmTRu2b99OUFAQCQkJPPvss8YPYkvbl6UeJ0siebFdZRYdxFZKqQIkNDSUAQMGWFddb926lSZNmpCUlGTcfL1Sb5P86KOPiI2N5eDBg7Rv357p06dTv359u7NyJHE7S9vGAKmpqSxfvpyTJ08yYcIETp48ya+//mr0dl6/fj0ff/yx8fM+5jQYVb58eaZPn+7lmrwZOXIkgwcPpmrVqgAcP36cBQsW2Fzlmb59++a4OJ5JJH8wlnSizkXKCbvs/vu71ggx9feJtPmaQd6dEFJ6fX19CQgIICAggCpVqlgn6UqXLi3ijg1J+7LE42SJOnbsSMeOHe3OUAWADmIrpVQBMm7cONasWcOOHTsAaNmyJT179sTPz4+1a9faXPdfkm+TjImJoUuXLsyZM8fIq9szk7qdJW1jl0mTJpGens6+ffuAjEWChg4dSmxsrM1lOStTpozxA9iZJScns2zZMr766iscDgehoaH07dvXuBN0mT3wwAPExcVx4MAB6+sSJUrYG+Uh06+4dZH4wVjaibqYmBg6dOhA8eLFmT17NgcOHGD06NHGTT2U2S+//MLevXt57LHHcDgcfPrppzRs2JCVK1cSERFh7By3UuZrdpF2J4SU3szTTg0ZMsTtueTkZG/n/CES9mWpx8kSSVxsV5lJB7GVUqoAcC209N577zFgwAC32+9NJPk2yaVLl1p/3rBhg9EHZVK3s6Rt7HLw4EE2bdpE586dgYwr/jLPt2kS11VHTZs2ZcqUKYSFhbkNBNeqVcuutFxFRUVx8eJFnn76aQBiY2OJiooy/jbgkiVL0qJFC7sz8qxKlSp2J3hEwvvDraSdqFu5ciW9evVi3759/PDDD0RGRjJjxgzjph7KLDExkY0bN1KmTBkAzp8/z6hRo1izZo2xg9hS5mvOTNqdEFJ6e/XqxdWrVwkMDKRdu3bW4z///DMPPvigjWWekbIvSz1OlkTyYrvKTDqIrZRSBcCxY8dwOp3ExcUxYMAAu3NuS/ptki7Lly83egClIGxn07exy60DUWlpacZeyfrSSy+5fe26cwMy5sTO/LVJ9u/fz7Zt26x9t2XLlnTo0MHmqoIpOTmZuXPn2p2RK8kfjKWdqPPzy/jIuGfPHjp16kTz5s158803ba7K3dmzZ60BbMi48+TcuXOUKlXKej2mkTJfc2bS7oSQ0pvTxSjVqlVj0qRJXq7JOyn7ckE4Tjad5MV2lZnM/A2ulFIqT+rXr0+jRo1ITk4mJCTEetzpdOJwONi7d6+NdVkVhNskwfzb7QvCdjZ9G7vUrFmTTZs2kZ6ezokTJ1iyZInbz6JJPvnkEyBj8Lpx48aULFkSyLhy8bvvvrMzLVelSpXixo0bFC1aFMjYhyVNhyLBkSNHGDFiBJcvX+bzzz/n8OHDxMXFMWrUKLvTsigoH4wlnKhzOBzExcWxbds2Fi1aBEBKSorNVbkrX7488+fPp2vXrkDGGgDlypUjLS3N2MEpKfM1Z2b6vnsrib3dunXjySeftH5XSyBlXy4Ix8mmk7zYrjKTDmIrpVQBMHXqVIYNG0afPn1YvHix3Tm3Jf02SZe+ffvanZCrgrCdTd/GLq+99hozZszg/Pnz9OrVi7Zt2zJixAi7s3I1d+5cNm3aZH1dokQJ5s6dS8uWLW2sylnVqlXp0aMH7du3B+DDDz+kXr161u3JJk4PIM2UKVOYMGEC0dHRANSpU4dXX33VyEHsgvLBWMKJuqioKBYtWkT37t2pVKkSx44do0mTJnZn5Wr69OlER0dbUzw1adKEadOmkZqayowZM+yNy4GU+ZpB3p0Q0npdRo8eTWxsLHPnziU0NJSuXbvSrFkzY0/EuEjZlwvCcbIUEhfbVWZyOCUcOSmllPLIlStXxF+VJsHp06f55ptvcDgcNG7c2PiDdIl0G+e/Tp06uQ1iQ8at1ps3b7apKHe3G2QwfW5sCbp06UJsbCydO3dm48aNAG5/NpH0D8YbN260BlolSExMFHVFqCT9+vXj8OHDxs/XDBnzuvfq1SvHNtNOLknrvdW1a9fYvn07GzZs4NSpU+zcudPupFxJ2peVdwwbNizbxXZ//PFHY9cpUGbSK7GVUqoAGTZsGDNnzrRusU9ISGD06NHW7b+mkXib5JYtW4iOjuahhx7C6XQydepUxo8fb/TcvNK2s8RtnJlroVXTBQQE8N1339GoUSMA9u3bR0BAgM1VOdNB6vzn5+dHSkqKdZXfmTNn8PHxsbkqd7/88ku2H4xXrlxp9Adj14k6Hx8fEVcsuvTt25cNGzbYneGRgwcPcvLkSbcpA0w+YSBlvmaQdyeEtN5bXbt2jYSEBC5cuCDiYhVJ+zLIO06WSOJiu8pMOoitlFIFyLlz59zmiC1dujTnzp2zsSh3Em+TXLBgAevWrSM4OBjIWIG9f//+Rg+wStvOErdxZvHx8XYneGTkyJEMHjyYqlWrAnD8+HEWLFhgc1X2jhw5AkCtWrU4fvw4O3fupGbNmoSGhtpcVrBEREQwaNAgEhISmD17Nlu2bDF+WhyJH4wln6iTchNvVFQUX3zxBbVr17ZOxDgcDqMHsaXN1wzy7oSQ1vvRRx8RGxvLwYMHad++PdOnTzey81bS9mVpx8kSSVxsV5lJ9xallCpA0tPTSU1NtQ4GkpOTjV58KSQkhJCQEOs2ycWLFzN+/Hijb5MsWrSoNbgKULlyZWuhOVNJ284St3FmUgZ5HnjgAeLi4jhw4ID1dYkSJeyNysaKFStYunQpqampPPfcc2zatIn69euzevVq+vXrZ11hp/7vOnXqRHBwMDt27CAlJYWZM2fSuHFju7NyJfGDseQTdVWqVLE7wSO7d+8mLi7ObSoDU0mdrxnk3QkhrTcmJoYuXbowZ84c3ZfzkbTjZIkkLrarzGTmkZ1SSqk/pHnz5rzyyivWQfjy5ct59NFHba66PUm3SbZo0YJ58+bRvXt3nE4n69evp2XLlly9ehWAwMBAmwtzJmU7S97GkDHoKkXJkiVp0aKF3Rm5Wrt2LVu3biUpKYk2bdqwfft2goKCSEhI4Nlnn9VB7P+xRo0aWVPMSCDxg7HUE3XJycnMnTvX7gyPlC1blkKFCtmd4ZFixYoBGP17OSfS7oSQ1rt06VLrzxs2bDD+CmfJ+zLIOU6WSOJiu8pMurCjUkoVICkpKSxatMi6cqBVq1YMGDAAf39/e8NycOttkuHh4cbfJlmrVq0cn3M4HHz//fderPGMtO0scRu7nDlzhsOHD1OjRg3uueceu3MKhMwLCz755JNs3brVei48PFzM/LwSxMfHs2TJEk6dOkVqaqr1+PLly22syt3vv/9OdHQ0e/bsATI+GI8ZM4ZSpUpx/PhxatasaXNhVm+99Ra+vr5uJ+rS09N59tlnAfNO1B05coQRI0Zw+fJlPv/8cw4fPkxcXByjRo2yOy1HM2bMID4+nscff9ztCtbWrVvbWFXw3PqenPmx7BYPtpu03sz0913+kXacrNSdTK/EVkqpAsTf35/BgweLWbhG2m2S8N+5eSWRtp0lbeORI0fyxhtvAPD1118TGRlJ7dq1OXr0KFFRUbRt29bmQvkyL8o2ZMgQt+eSk5O9nVOgDR06lNDQUCIiIvD19bU7xyNly5Zlzpw52T5n4gA2wMKFCwGyzEH/9ttvG3mibsqUKUyYMIHo6GgA6tSpw6uvvmr0IPbhw4cBWL16tfWYw+EwehBb2nzNIO9OCGm9mUm69lDaviztOFkqaYvtKjPpILZSShVQPXv2ZM2aNXZn5ErabZJpaWmEhYURFxdnd0qeSNrO0rbxjz/+aP35nXfeYf78+TRq1Ijjx48zfPhwHcT+H+jVqxdXr14lMDCQdu3aWY///PPPPPjggzaWFTw3b95k+PDhdmfkmbQPxpJO1AEkJSW5zY3ucDiMvcPLRdK0Ti7S5msGeVMESOvNrG/fvnYneEzavizpOFkqiYvtKjPpILZSShVQN2/etDshT5YvX278QaOvry+lS5fm+vXrIuYvzY7p21naNs585dalS5esuYTvvfdetwE19cdFRERk+3i1atWYNGmSl2sKtho1anD69GmCgoLsTvGYtA/G0k7UAfj5+ZGSkmK93505c8ba1qZKTU1l+fLlnDx5kgkTJnDy5El+/fVXQkND7U7LkbT5mkHenRDSegFOnz7NN998g4+Pj5j3Z4n7sovpx8lSSVpsV5lNB7GVUqqAKlKkiN0JeSLlNskqVarw1FNP0b59e2sBG8DoA/LMJGxnSdv4t99+Y9q0aTidTi5evEhaWpo1DYMOYv9vhYeH061bN5588klKlixpd06BlJCQQKdOnWjYsKHbB83sbg03hbQPxtJO1EHGiaRBgwaRkJDA7Nmz2bJlCyNGjLA7K1eTJk0iPT2dffv2AVCqVCmGDh1KbGyszWU5O3v2rDXoB1CmTBnOnTtHqVKl8PMz92O7tDshJPVu2bKF6OhoHnroIZxOJ1OnTmX8+PF06NDB7rRcSd2XQcZxskSSFttVZjP7HUQppdQfFhMTY3dCnki5TdLpdFK7dm1OnDhhd8ofImE7S9rGma8S7t69O/+vvfuPifrO8wf+/DBdjQ4CIq4XTmhD7wRiS/wBc6XnhdLKOT1FBMGMS9uj6F8eem3UppgSeh5bZbu5rSDFLYGwuEbawgBiKeKi5LZpLQaUnFntNXZRKVZrQU5ESxnm+wdhvk4BRWXm/Xl9fD6STWY+889zP3kXP+/X5/1+va9fv445c+bgypUrWLhwocJkxpOdnQ273Y6CggLExsZi7dq1WLZsme77mEqyevVqrF69WnWM+yJxYizpRR0AJCUlISQkBM3Nzfjpp5/wm9/8xq29iB51dHSgrq7OVZz08/NzO6xUjyT2a5a2E0Ja3qKiIlRVVSEkJATAyOG7Gzdu1H0RW+JYHiXhOVmiqKgobNmyhYft0kPTnHzVREQk3uDgIKqrq/E3f/M3iI+PR1VVFb788kv8/d//PTIyMnQ9wR/dJqlpGqKjo0Vsk5SI95mMYmBgAI2NjaipqcGlS5fQ0tKiOhIplJ+fj66uLlET4+zs7HGv79q1y8tJjGvdunX46KOPsGbNGtTW1sLhcGDNmjWor69XHW1C33//PfLy8nDixAkAI/2ad+zYgYCAAHR2duqy3cU///M/o76+XsxOCGl5k5OTUVNTc89reiNxLPM52bNefvnlMdc0TUNFRYWCNCQZi9hERAaQnZ2N77//Hrdv38aTTz6Jv/71r1ixYgU+++wzzJkzB3l5eaojjuvn2yTb2tp0u02ytbUVFosFzc3N4/6u54KJlPss+R4PDg6ivLwcn3/+OTRNQ2xsrO5fIEl17do11NbWwm63w2Qy6booJUVZWRkyMzMnLKJOVHTVA06MPa+rqwslJSW4dOmS22pmPd/jnJwcREdHo7S0FIWFhSgpKcH06dORk5OjOpqhpKen449//KPuV9eOkpb3vffeg8lkQlpaGpxOJ6qrqzE8PIzMzEwAgK+vr+KExiDlOZmIWMQmIjKElStX4vDhw/jxxx/xj//4j/jzn/+MmTNn4qeffkJycjIOHz6sOuK4rFYrSkpKxmyTbGxsVJxsrLfeegt5eXkiCyZS7rPke5ydnY3e3l6kpqYCAOx2O/z9/bmycgo1NTXBbrejo6MDVqsVycnJiIqKUh3LECorK2Gz2SbsfZ2VleXlRMYk9UVdamoqYmNjsWjRIlfPfwB47rnn1IW6h5s3byI/Px9/+tOf4HQ6kZCQgOzsbN33IZfUrxmQtxNCWt6IiIgJf9M0DWfPnvVimvsjaSxLeU6WTOJhu6RP7IlNRGQAJpMJmqZh+vTpmD59uqvH5i9+8QtXzz89mjFjhuuBEQDmz5+v2wnm6Gr2/fv3K05y/6TcZ8n3+NSpU/j0009dq7vi4+O5gmeKVVZWIiUlBXv27BGzFVwKm80GQGaxWtLE+NChQ7BYLCgvLx/zm6Zpui2k/fjjj9i6davqGPfFbDZj586d2Llzp+ookyatXzMAnDlzBgBw8OBB1zU9j2Vpec+dO6c6wgORNpalPCdLJvGwXdInFrGJiAwgODgY+fn5uHnzJv7u7/4O//mf/4nExET8+c9/xty5c1XHm1BcXBwKCwvdtknGx8ejv78fgH63SV69ehVdXV1uq0tiYmIUJro7ifdZ2j0OCAjA7du3XZOewcFBzJ49W3EqYykrK3N9rqmpQXJyssI0xjTeSmw/Pz8sWrRIt6veJU2Mpb6oW7BgAbq7u8X2iN28eTMKCwtVx7inL774Ag0NDaJe0kkby5LyOhwOJCYmoqGhQXWU+yZtLEt8TpZG4mG7pE8sYhMRGcA777yDffv2YcaMGSgsLMThw4eRk5ODkJAQ/Md//IfqeBPat28fgJHT1+/0/vvv63abZHFxMUpLSxESEuK2uqSqqkpxsolJu88S73FYWBjWrVsHq9UKADhy5AiefvppVwuUV155RWU8w6moqGAR2wO++eYbtLa24rnnnoOmaTh+/DgWLVqEAwcOID09XZfjWOrEWNKLup6eHiQlJWHRokVuRamJ2s/oTVdXl+oIkzJ37lxx5yhI2gkByMprMpkQGBiIW7duiVsVLG0sS3tOlujnLzQcDgfY2ZgeBIvYREQGEBgYiB07dri+p6enIz09XWGiyZG4TbK6uhpHjx4VtcpW2n2WeI+dTieeeuopV7Fk4cKFGB4e5sTHQzjx8Yy+vj7U1tYiKCgIwMghmm+88QY+/PBD3RaxJU6Mpb2oW716NVavXq06xgPT+3gYFRUVhS1btojp1wzI2gkByMsbGhqK9evXw2q1uloFAvp/MS5tLEt7TpYoPDwcdXV1GB4exoULF1BSUgKLxaI6FgnEIjYRkUHpffus1G2SQUFBooqrEu+ztHsMgAc4ellGRobqCIZ05coVVwEbGPlv8erVqwgICMBjj+lz2iBxYiztRZ30XQ9SWkhI69cMyNsJIS2v0+lEZGQkLly4oDrKfZE0liU+J0v05ptvIj8/H9euXYPNZkNCQgK2bdumOhYJpM+nUSIiemh63z4rbZvk6CqNZ599Fr/+9a+RmJjotlXybifIqyTpPku9x6O5IyIi0NnZiZaWFoSHh+tye7J03d3dOHnyJHx8fET36NWrefPmYe/evVi7di2AkWLrL3/5SzgcDtehpXojcWIs5UVdWVkZMjMzJ3xJl52d7eVE9+/y5cs4c+YMFixYgMcff1x1nLuSUmy/k7SdENLySn1BLmksS3pOlkziYbukTyxiExEZlJ4fykdJ2ia5adMmt+/Nzc2uz5qmuX3XGyn3WeI93r9/P8rKyjA0NIQNGzagrq4OUVFROHjwIF599VXYbDbVEQ2jvr4eeXl5iImJgdPpxDvvvIOcnBysXLlSdTTD2L17N/Ly8lyrFJ955hns2rULQ0NDyM/PVxtuApImxtJe1I3+ezFr1izFSSZv+/btePfddwEAX375JV5//XVERkbiq6++Qm5uLhISEhQnnJikfs2jpO2EkJK3tbUVFotlwucePa5ovpO0sSzlOdko9L5bmPSNRWwiIoOSsApC0jbJY8eOARgprEZHR8Pf3x/ASA/Z9vZ2ldHuScp9lniPP/roIxw+fBg3b97E8uXL0djYiODgYPT09CAzM5NF7ClUVFSEqqoqhISEABjZbbJx40YWsafQ3LlzsWfPnnF/Cw8P93Ka+6f3ibG0F3Wjf7+ysrIUJ5m8r7/+2vW5uLgYe/fuxZIlS9DZ2YmtW7fquogtrV8zIG8nhJS8hw4dgsViQXl5+Zjf9NqW407SxrKU52Sj0PtuYdI3FrGJiAyksrISK1euxKxZs/C73/0Op0+fRnZ2NmJiYlRHG5fEbZIFBQWoq6tzfffz80NBQQHi4+MVpro7afdZ0j02mUwwm80wm80IDQ11tbcIDAzUbfsFqWbMmOEqYAPA/PnzufXXAzo6OnDx4kU4HA7XtdGV2Xqn94mxxBd1ALB3794x1/z8/LBo0SJERUUpSDSxO//uXr9+HUuWLAEAPPHEE25jWo+k9WsGZO2EAOTkzcvLAyBjQcp4pI1lac/J0knYLUz6xSI2EZGBHDhwADabDW1tbfjf//1fvP7668jPz0dVVZXqaG6kb5O8k6Zpup0YG+U+6/ke35lr8+bNbr8NDg56O46hxcXFobCwEGlpaXA6naiurkZ8fDz6+/sBAL6+vooTypebm4vPPvsMkZGR8PHxATDy35+UIraUibGkF3UA8M0336C1tRXPPfccNE3D8ePHsWjRIhw4cADp6em62nL/3XffYdeuXXA6nejt7YXD4YDJZAIA3f47Mkpav+af0/tOiJ+Tkvfq1avo6upyG796XZwySspYNspzsjRSX86QPrCITURkII89NvJn/cSJE0hKSsI//dM/4b/+678UpxpL8jZJs9mM9vZ21+qutrY2mM1mxanGJ/U+S7rHNpsN/f398PX1xYoVK1zXz58/j6VLlypMZjz79u0DMNJW5E7vv/8+NE3D2bNnVcQylC+++AINDQ1jChBSSJ0Y6/lFHTCyUry2thZBQUEAgGvXruGNN97Ahx9+qLsidnp6uutzWloarl+/jjlz5uDKlStYuHChwmT3JqVf80T0vhPi5yTkLS4uRmlpKUJCQtxeLOptccrPSRnLUp+TJZN02C7pk+bU4ysxIiJ6ICkpKdi4cSPef/99/P73v8ff/u3fYtWqVTh8+LDqaIZx6tQpZGVlISwsDADQ2dmJoqIi3W2ploz3mEiN9PR0/PGPfxTZCkfSxPhXv/oVtm3b5vai7re//S0OHjyoONn4xnuOGL2WlJTktqqcHtzNmzeRn5+PP/3pT3A6nUhISEB2draYtklr1qxBbW2t6hiTJiHv8uXL8fHHH2P27Nmqo9wX6WOZpo7kw3ZJn1jEJiIykI6ODvz+97/HP/zDP+Bf//Vf8de//hUHDhzAW2+9pTrahCRuk+zr68Pp06cBAIsXL4afn5/aQJMg7T5Lu8fJyclITU3FqlWrXH1uaeo4HA4kJiaioaFBdRRDy8/PR1dXF1588UW31dh6XI0meWIs7UXdhg0bsHjxYqxduxYAUF1djfb2dpSUlGDt2rW6LAQODg6ivLwcn3/+OTRNQ2xsLDIyMjBt2jTV0Qzrxo0bmDVrluoYkyYhr81mQ2VlpeoYjwRpz8lS3PmyKCMjA1u2bHE7bLe6ulptQBKHRWwiIoPq6+vTfTFN6jZJaXifPa+1tRV2ux3Hjx9HbGws1q5di2XLlolc0apXL730EkpKSriSy4NefvnlMdc0TUNFRYWCNHcnfWIs6UXd999/j7y8PJw4cQIA8Mwzz2DHjh0ICAhAZ2cnwsPDFSccKzs7G729vUhNTQUA2O12+Pv7iznATUq/5lGSdkIA+s977tw5AEBTUxNu3LiBxMREtxcwERERqqLdNwljmc/JnpOcnIyamhoAY3c/SNgNQfrDnthERAaVkZHhemjQq+rqahw9elTcNklpeJ89z2KxwGKxYGBgAI2Njfjggw+Qk5ODlpYW1dEMIzQ0FOvXr4fVasXMmTNd1/XUj1c6ST2l73xBdP36dVdrjieeeELX/aVH+fv7Iy4uTnWMSZk7dy727Nkz7m96LGADI6vdP/30U9c4iY+Px8qVKxWnmjy992uWthNCWt5Nmza5fb/z4EFN0yY8iFCP9D6WAT4ne5Lkw3ZJn1jEJiIyKAkbbYKCgvjA6AW8z94zMDCAnp4e/PDDD7rfpiyN0+lEZGQkLly4oDqKYQ0NDaGiogIXL17E22+/jYsXL+Lbb79FbGys6mhjcGLsXR0dHbh48aLbvV2zZo26QPcQEBCA27dvu3ZuDA4Oivp3UO/PcF9//bXrc3FxMfbu3eu2E0JvRWFpeY8dOwZgpHgdHR3t2lnZ19eH9vZ2ldHum97HMsDnZE+SfNgu6ROL2EREBhUaGqo6woRGt0k+++yz+PWvfy16m6Se8T57T1NTE+x2Ozo6OmC1WrF7927d9reVSkobAMl27tyJ4eFhtLW1ARgpBL722muw2+2Kk43FibH35Obm4rPPPkNkZKTbVns9F7HDwsKwbt06WK1WAMCRI0fw9NNPu1rj6H0Hh953RUjbCSEt76iCggK3g1P9/PxQUFCA+Ph4hanuj57HMp+TPS8rK2vc6/PmzcPu3bu9nIaMgEVsIiIDGhwcREFBgeoYEzLSNkk94332nsrKSqSkpGDPnj1uB+LRw2ttbYXFYplwvOrx0EGpOjo6UFdX5ypO+vn5YWhoSG2oCXBi7D1ffPEFGhoaRP1tczqdeOqpp1ytDBYuXIjh4WGcPXtWcbJ703u/ZkDeTghpeSeiaZqovHofy3xO9h4etktThUVsIiIDOXfuHLZt24b/+7//w3//93/jzJkzaGhowBtvvKE6mhsjbZPUM95n7ykrK3N9rqmpQXJyssI0xnLo0CFYLBaUl5eP+U3TNBaxp9DPi5QOh0P3W8E5Mfa8uXPnirufknZuSOvXDMjbCSEt7yiz2Yz29nbXyvG2tjaYzWbFqSYmbSzzOdl7cnNz0dvbi5deegnAyGG7ubm5ov5Wkz5oTr0/mRIR0aS9/PLL+Pd//3fk5eWhtrYWTqcTq1atwieffKI62riSkpLctkk6nU6kpKTo/kBKaXifvevOk9iJJMnJyUF0dDRKS0tRWFiIkpISTJ8+HTk5OaqjTSg7Oxu9vb1ITU0FMDIx9vf358R4CuXn56Orqwsvvvii24sOvb5AGm0REBERgc7OTrS0tCA8PFyXvd2Bkd7itbW1AEYO5d6yZYtbv+bq6mq1AUmZU6dOISsrC2FhYQCAzs5OFBUV6bZdmdSxzOdkz7NarW6H7TocDqxcuRKNjY2Kk5E0XIlNRGQgN2/eRHR0tOu7pmn4xS9+oTDR/ZG2TVIq3mfP4voAz7l69Sq6urrcxm9MTIzCRMby5ptvIj8/H9euXYPNZkNCQgK2bdumOtZdnTp1ym1iHB8fj5UrVypOZSxnzpwBABw8eNB1Ta+7IPbv34+ysjIMDQ1hw4YNqKurQ1RUFA4ePIhXX30VNptNdcQxpPZrBuTthJCWd/HixWhoaMDp06dd3/38/NSGugvJY/lOfE6eetIP2yX9YBGbiMhAHnvsMfz000+uh8jLly+7DmHSI2nbJKXiffaujIwM1REMqbi4GKWlpQgJCXE7XK6qqkpxMuMwm83YuXMndu7cqTrKpHFi7Hl6Ppjt5z766CMcPnwYN2/exPLly9HY2Ijg4GD09PQgMzNTl0Vsyf2apbUIkJYXAPz9/REXF6c6xqRIHct8TvY86Yftkn6wiE1EZCDp6en4t3/7N/T09OB3v/sd6uvrdb2Kbvv27eNuk6SpxfvsHd3d3Th58iR8fHzQ3d2N4OBg1ZEMpbq6GkePHmWB0ks2b96MwsJC1THuiRNjzxsaGkJFRQUuXryIt99+GxcvXsS3336ry/YcJpMJZrMZZrMZoaGhrr/DgYGBbqtE9URqv2ZA3k4IaXmlkTqW+ZzseZIP2yV9YRGbiMhAkpKSEBISgubmZvz000/4zW9+49ZeRG+kbZOUivfZ8+rr65GXl4eYmBg4nU688847yMnJ4eR4CgUFBbGA7UWjE02948TY83bu3Inh4WG0tbUBGFn9/tprr8FutytONtadqz03b97s9tvg4KC340xKVlbWuNfnzZuH3bt3eznN/ZG2E0JaXmmkjmU+J3uennc7kCw82JGIiIjoIVmtVpSUlCAkJATASAFw48aNPLBmCowe0tbU1IQbN24gMTHRrX9pRESEqmiGducBXfRoGz307M4xsXr1ahw6dEhtsHEcOHAASUlJ8PX1dbt+/vx5/OEPf9B1qxxp/ZoBYMeOHfif//mfMTshwsPDAehvJ4S0vFJJHMvkOdIO2yV940psIiID6erqQklJCS5duoShoSHX9dFt1UTkGTNmzHAVsAFg/vz5rpVe9HA2bdrk9r25udn1WdM0t+80dST0QebE2DumT5/u9t3hcOj2ANs72xnc6cknn9R1ARuQ2a9Z2k4IaXmlkjiWyTMkHrZL+sYiNhGRgbz22muIjY1Fenq66yAVIvK8uLg4FBYWIi0tDU6nE9XV1YiPj0d/fz8AjFkVSJN37NgxACPF6+joaPj7+wMA+vr60N7erjKaYV2+fBlnzpzBggUL8Pjjj6uOMy5OjL0nPDwcdXV1GB4exoULF1BSUgKLxaI61l0lJycjNTUVq1atcv3N0DuJ/ZqlFSWl5ZVK4lgmz5B42C7pG4vYREQG8uOPP2Lr1q2qYxA9cvbt2wcAYw4Cev/996FpGld5TYGCggLU1dW5vvv5+aGgoADx8fEKUxnD9u3b8e677wIAvvzyS7z++uuIjIzEV199hdzcXCQkJChOOBYnxt7z5ptvIj8/H9euXYPNZkNCQoKuD40GgOzsbNjtdhQUFCA2NhZr167FsmXLdHu4IyCvX7O0nRDS8kombSyT50g8bJf0jUVsIiIDWbBgAbq7u10PCETkHaOTY/IeTdPcDnGjB/f111+7PhcXF2Pv3r1YsmQJOjs7sXXrVl0WsTkx9h6z2YydO3fqvh3HnSwWCywWCwYGBtDY2IgPPvgAOTk5aGlpUR1tQmFhYVi3bt2Yfs2jLeH01K9Z2k4IaXmlkzSWybMkHrZL+sYiNhGRgfT09CApKQmLFi1y62G5d+9ehamIjM3hcCAxMRENDQ2qoxia2WxGe3s7lixZAgBoa2uD2WxWnMoY7iz6Xr9+3XWPn3jiCd2+KODEWI3NmzejsLBQdYxJGxgYQE9PD3744QfMmjVLdZy7ktSvWdpOCGl5pZM0lsmzbDYb+vv74evrixUrVriunz9/HkuXLlWYjKRiEZuIyEBWr16N1atXq45B9EgxmUwIDAzErVu3eJijB23fvh1ZWVkICwsDAHR2do5p30IP5rvvvsOuXbvgdDrR29sLh8PhOldBr0VsTozVGC1K6V1TUxPsdjs6OjpgtVqxe/duREVFqY51V5L6NUvbCSEtr3SSxjJ5luTDdkmfWMQmIjKQ5ORk1RGIHkmhoaFYv349rFYrZs6c6brOLbNTZ/HixWhoaMDp06dd3/38/NSGMog7J5lpaWm4fv065syZgytXrmDhwoUKk02ME2M1nE6n6giTUllZiZSUFOzZs8dtZ5peSevXLG0nhLS8kkkby+QdEg/bJX3SnFKeRIiIaEJlZWXIzMyccOVDdna2lxMRPVom+m+Mq5GIPIsTY++6ceOG7tty/FxNTY2uX/JP1K/5xIkTuu3XfODAASQlJcHX19ft+vnz5/GHP/xBdy+SpOWVSuJYJu9obW2F3W7H8ePHxRy2S/rEIjYRkQFUVlbCZrNN2Ps6KyvLy4mIiEiawcFBlJeX4/PPP4emaYiNjUVGRgamTZumOtqEODH2nsuXL+PMmTNYsGABHn/8cdVxJi05ORk1NTWqY0woMTERlZWVE/Zrrq2tVR2RaFI4luleRg/brampwaVLl3R92C7pE9uJEBEZwOjKBharibyrtbUVFosFzc3N4/7+wgsveDkR0YPLzc1Fb28vXnrpJQCA3W5Hbm6urncUWCwWWCwW18T4gw8+QE5ODifGU2D79u149913AQBffvklXn/9dURGRuKrr75Cbm4uEhISFCecHL2v2ZLcr1naTghpeaWRPJbJOyQdtkv6xCI2EZGBjLcS28/PD4sWLdL9gUZEEh06dAgWiwXl5eVjftM0jUVsEuXUqVP49NNPXcWG+Ph4rFy5UnGqyeHEeOp9/fXXrs/FxcXYu3cvlixZgs7OTmzdulVMETsjI0N1hLuS3K85OzsbdrsdBQUFInZCSMsrjeSxTJ4l8bBd0icWsYmIDOSbb75Ba2srnnvuOWiahuPHj2PRokU4cOAA0tPTecgc0RTLy8sDMNIHkki6gIAA3L59GzNmzAAwUnSYPXu24lR3x4mx59xZ2Lt+/TqWLFkCAHjiiSfcilV61d3djZMnT8LHxwfd3d2uVaF6Y7PZ0N/fD19fX6xYscJ1/fz581i6dKnCZPcmbSeEtLzSSB7L5FnSDtsl/WIRm4jIQPr6+lBbW4ugoCAAwLVr1/DGG2/gww8/ZBGbyMOuXr2Krq4ut+JOTEyMwkRE9ycsLAzr1q2D1WoFABw5cgRPP/00KioqAECX/4ZwYuw53333HXbt2gWn04ne3l44HA6YTCYA0H0Ru76+Hnl5eYiJiYHT6cQ777yDnJwcXe4sSE9PH/f6k08+KebAQWk7IaTllcIIY5k8o6yszPVZ74ftkr6xiE1EZCBXrlxxFbABICgoCFevXkVAQAAee4x/8ok8pbi4GKWlpQgJCYGPjw+AkVWMVVVVipMRTZ7T6cRTTz2Frq4uAMDChQsxPDyMs2fPKk42MU6MPefOglRaWhquX7+OOXPm4MqVK1i4cKHCZPdWVFSEqqoqhISEAAC6urqwceNGXRaxR0ns1yxtJ4S0vFJJHMvkPRUVFfy3mh4YKxpERAYyb9487N27F2vXrgUAVFdX45e//CUcDgf7/RF5UHV1NY4ePar71gtEd6PnAxwngxPjqTXRYdHz5s3D7t27vZzm/syYMcNVwAaA+fPnu9rk6JXEfs3SdkJIyyuVxLFM3qP3w3ZJ3zQnRxARkWF8//33yMvLw4kTJwAAzzzzDHbs2IGAgAB0dnYiPDxccUIiY7LZbKisrFQdg+iBnTt3DgAQERGBzs5OtLS0IDw8HLGxsYqTTd6aNWtQW1urOobhDA4Oory8HJ9//jk0TUNsbCwyMjIwbdo01dEm9N5778FkMiEtLQ1OpxPV1dUYHh5GZmYmAMDX11dxwomN9muuqanBpUuXxPRrlrYTQlpeiaSOZfKs2tparFmzRnUMEopFbCIiIqIHNFr4a2pqwo0bN5CYmOhW2ImIiFAVjWjS9u/fj7KyMgwNDWHDhg2oq6tDVFQUTpw4gVdffRU2m011xEnhxNgzsrOz0dvbi9TUVACA3W6Hv7+/rlfu3+1vr6Zpum6Rc+3aNdTW1sJut8NkMqG+vl51pElJTk5GTU2N6hiTJi2vRFLHMnnG6GG7mqYhOjpat4ftkr6xnQgRkcF0dHTg4sWLbocucVJP5BmbNm1y+97c3Oz6rGma23civfroo49w+PBh3Lx5E8uXL0djYyOCg4PR09ODzMxM3RexRyfGPj4+6O7u5sR4ip06dQqffvqpqxVAfHy8rntLA///BaMk0vs1S1sbJy2vJNLHMk09SYftkr6xiE1EZCC5ubn47LPPEBkZ6Xa4HIvYRJ5x7NgxACPF6+joaNcBRn19fWhvb1cZjWjSTCYTzGYzzGYzQkNDXUXgwMBA3fcw5cTY8wICAnD79m1XT+nBwUFd9/93OBxITExEQ0OD6ij3RXq/5oyMDNUR7ou0vJJIH8s09SQetkv6xCI2EZGBfPHFF2hoaOADI5GXFRQUoK6uzvXdz88PBQUFiI+PV5iKaHLu3LmzefNmt98GBwe9Hee+cGLseWFhYVi3bh2sVisA4MiRI3j66adRUVEBAHjllVdUxhvDZDIhMDAQt27d0v1hjncqKytzfZbUr1naTghpeSWSOpbJcyQetkv65KM6ABERTZ25c+fq+qAlokeFpmluhUEiPbPZbOjv7wcArFixwnX9/PnzWLp0qapYk8KJsec5nU489dRT6OrqQldXFxYuXIjh4WGcPXtWt72lQ0NDsX79euzbtw8VFRWu/0khJWt9fT2Sk5Nx9OhRHDlyBCkpKfjkk09Ux5qQtLxGIGUsk2fFxcWhsLAQ3333HS5fvoy9e/ciPj4e/f39rucPosngSmwiIgOJiorCli1b8OKLL7qtxn7hhRcUpiIyPrPZjPb2dixZsgQA0NbWBrPZrDgV0eSkp6ePe/3JJ5/Ezp07vZzm/oxOjNPS0uB0OlFdXe2aGAOAr6+v4oTy6fkAx4k4nU5ERkbiwoULqqM8ECn9mqXthJCW1wikjGXyrH379gEY+W/wTu+//77uD9slfWERm4jIQM6cOQMAOHjwoOuapmksYhN52Pbt25GVlYWwsDAAQGdn55gHdSK9S05ORmpqKlatWuXq7653nBh71ugBiREREejs7ERLSwvCw8MRGxurONndSSy830lKv2ZpOyGk5TUCKWOZPEviYbukT5qTr8aIiIiIHlpfXx9Onz4NAFi8eDH8/PzUBiK6T62trbDb7Th+/DhiY2Oxdu1aLFu2TPeHO5Jn7N+/H2VlZRgaGsKGDRtQV1eHqKgonDhxAq+++ipsNpvqiGO0trbCYrGgubl53N/1/lJ/tF+zpmmIjo7Wfb/m9957DyaTyW0nxPDwMDIzMwHobyeEtLySSRvL5DlSD9slfWIRm4jIQIaGhlBRUYGLFy/i7bffxsWLF/Htt9/qfsUUERHpx8DAABobG1FTU4NLly6hpaVFdaRxcWLsWYmJiaisrMTNmzexfPlyNDY2Ijg4GD09PcjMzERtba3qiGO89dZbyMvLw8svvzzmN03TdN2ft76+Hnl5eYiJiYHT6URbWxtycnJ03eoiIiJiwt/0uBNCWl6pJI5l8qyXXnoJJSUl3PlAD43tRIiIDGTnzp0YHh5GW1sbACAgIACvvfYa7Ha74mRERCTFwMAAenp68MMPP2DWrFmq40zIZDIhMDAQt27d4sTYA0wmE8xmM8xmM0JDQ10rKQMDA3W7Oj8vLw/AyCpyaST2a5bWIkBaXqkkjmXyrNHDdq1WK2bOnOm6/sorryhMRRKxiE1EZCAdHR2oq6vDmjVrAAB+fn4YGhpSG4qIiERoamqC3W5HR0cHrFYrdu/ejaioKNWx7ooTY89xOByuz5s3b3b7bXBw0Ntx7tvVq1fR1dXl9v8jJiZGYaK7k9avWdpOCGl5JZM2lsnzpB+2S/rBIjYRkYFMnz7d7bvD4eCp4ERENCmVlZVISUnBnj17xvx7olecGHuOzWZDf38/fH19sWLFCtf18+fPY+nSpQqT3VtxcTFKS0sREhICHx8fACPtIqqqqhQnm1hcXBwKCwvd+jXHx8ejv78fgP76NUvbCSEtr2TSxjJ5nvTDdkk/2BObiMhAcnJyEB0djdLSUhQWFqKkpATTp09HTk6O6mhERCRITU0NkpOTVccgeiDLly/Hxx9/jNmzZ6uOMmkS+zXv2LEDf/nLX8TshJCWVyqJY5k8Q/phu6Q/XIlNRGQgb775JvLz83Ht2jXYbDYkJCRg27ZtqmMREZEwFRUVui5ic2LsPcnJyUhNTcWqVavg7++vOs6kBAUFiSpgAzL7NUvbCSEtr1QSxzJ5xqFDh2CxWFBeXj7mN03T+G813TeuxCYiIiIiIjdr1qxBbW2t6hgTeuutt5CXl4eXX355zG+apqGiokJBKmNqbW2F3W7H8ePHERsbi7Vr12LZsmW6PNxxtHjW1NSEGzduIDExEdOmTXP9frcVoiqxXzMZBccyEXkSi9hERAa1efNmFBYWqo5BREQC1dbWug4JJgKAgYEBNDY2oqamBpcuXUJLS4vqSGM8//zzE/6madqEK/f14KWXXkJJSYmIfs3SdkJIyyudpLFM3iPtsF3SJ7YTISIyqK6uLtURiIhImO7ubpw8eRI+Pj7o7u5GcHCw6kj3xImxdwwMDKCnpwc//PADZs2apTrOuI4dOwYAaG5uRnR0tKv9SV9fH9rb21VGu6fQ0FCsX79eRL9maS0CpOWVTtJYJu+QeNgu6RNXYhMRGZTet4ITEZG+1NfXIy8vDzExMXA6nWhra0NOTg5WrlypOtqEODH2vKamJtjtdnR0dMBqtSI5ORlRUVGqY91VUlIS6urqXN+dTidSUlJQU1OjMNXdZWdnj3t9165dXk5C9HA4lunnJB62S/rEldhERAa1f/9+1RGIiEiQoqIiVFVVISQkBMDIjp6NGzfquohdXV2No0ePcmLsQZWVlUhJScGePXswffp01XEeiKZpbiv19UhqgU/aTghpeSWSOpbJcyQetkv6xCI2EZEBXb58GWfOnMGCBQvw+OOPq45DREQCzJgxw1XABoD58+frvqcpJ8aeV1ZW5vpcU1OD5ORkhWkmx2w2o729HUuWLAEAtLW1wWw2K041Psn9mqXthJCWVxrJY5k8Y/Sw3WeffRa//vWvxRy2S/rFIjYRkQFs374d7777LgDgyy+/xOuvv47IyEh89dVXyM3NRUJCguKERESkd3FxcSgsLERaWhqcTieqq6sRHx+P/v5+AICvr6/ihP8fJ8ZqVFRUiChib9++HVlZWQgLCwMAdHZ2oqioSHGq8Unu1yxtJ4S0vNJIHsvkGZs2bXL7fucLDr0ftkv6xJ7YREQGcGf/64yMDGzZsgVLlixBZ2cntm7diurqarUBiYhI9+5W+NU0DWfPnvVimrt7/vnnJ/yNE2PPkXTeRl9fH06fPg0AWLx4Mfz8/NQGMiCbzYbKykrVMSZNWl4io5josN34+HjFyUgarsQmIjIATdNcn69fv+7aPvvEE0/ovgckERHpw+jqZgmOHTsGYOKJMXlGRkaG6giT5u/vj7i4ONUx7ouUfs3SdkJIy2sEUsYyeUdBQYHbYbt+fn4oKChgEZvuG4vYREQG8N1332HXrl1wOp3o7e2Fw+GAyWQCABaxiYjonhwOBxITE9HQ0KA6yn3hxNg7uru7cfLkSfj4+KC7uxvBwcGqIxmOpH7N0loESMsrnaSxTGpIOGyX9IlFbCIiA0hPT3d9TktLw/Xr1zFnzhxcuXIFCxcuVJiMiIgkMJlMCAwMxK1bt3R/mOPdcGI89err65GXl4eYmBg4nU688847yMnJwcqVK1VHMxRJ/Zql7YSQllc6SWOZvEPSYbukbyxiExEZQFZW1rjX582bh927d3s5DRERSRQaGor169fDarVi5syZruuvvPKKwlR3x4mx5xUVFaGqqgohISEAgK6uLmzcuJFF7CkWFBQkrugnbSeEtLxSSRzL5FmSDtslfWMRm4jIQAYHB1FeXo7PP/8cmqYhNjYWGRkZbn3/iIiIxuN0OhEZGYkLFy6ojjJpnBh73owZM1wFbACYP3++6NX6emOkfs3SdkJIy6t3RhrLNLUWL16MhoYGHrZLD01zOp1O1SGIiGhqZGdno7e3F6mpqQAAu90Of39/7Nq1S3EyIiIiz+jr6+PE2IPee+89mEwmpKWlwel0orq6GsPDw8jMzAQA+Pr6Kk4o2/PPPz/hb3rv1/yrX/0K27Ztc9sJ8dvf/hYHDx5UnGx80vJKI3ksE5EMLGITERmI1WrFp59+Ck3TAIwc1LVy5Uo0NjYqTkZERHrV2toKi8UyYYHhhRde8HIi0pO7rZ7UNA1nz571Yhrjmqhfs55bXZw6dWrcnRBRUVGKk41PWl6pJI5lIpKB7USIiAwkICAAt2/fdm3zHRwcZE86IiK6q0OHDsFisaC8vHzMb5qmsYj9iBttEUCeJbFfs7QWAdLySiVxLBORDCxiExEZSFhYGNatWwer1QoAOHLkCJ5++mlUVFQA0PfhXEREpEZeXh4AYP/+/YqTkN44HA4kJiaioaFBdZRHjpR+zf7+/oiLi1MdY9Kk5TUCKWOZiPSPRWwiIgNxOp146qmn0NXVBQBYuHAhhoeHudWXiIgm5erVq+jq6nIrOMTExChMRCqZTCYEBgbi1q1bPMzRw8xmM9rb2936NZvNZsWpiO4fxzIReQp7YhMREREREYqLi1FaWoqQkBD4+PgAGFlBV1VVpTgZqbRjxw785S9/gdVqxcyZM13XubtrarFfMxkFxzIReQqL2EREBjHaszIiIgKdnZ1oaWlBeHg4YmNjFScjIiIJli9fjo8//phnKZCb7Ozsca/v2rXLy0mMr6+vj/2ayRA4lonIE1jEJiIygP3796OsrAxDQ0PYsGED6urqEBUVhRMnTuDVV1+FzWZTHZGIiHTOZrOhsrJSdQwiIiIiojFYxCYiMoDExERUVlbi5s2bWL58ORobGxEcHIyenh5kZmaitrZWdUQiItKp0Z08TU1NuHHjBhITEzFt2jTX7xEREaqikUKtra2wWCxobm4e9/cXXnjBy4mIiIjoUcaDHYmIDMBkMsFsNsNsNiM0NBTBwcEAgMDAQGiapjgdERHp2aZNm9y+31m01DRtwiImGduhQ4dgsVhQXl4+5jdN01jEJiIiIq9iEZuIyAAcDofr8+bNm91+Gxwc9HYcIiIS5NixYwBGitfR0dHw9/cHMNLTtL29XWU0UigvLw/ASMsyIiIiItV8VAcgIqKHZ7PZ0N/fDwBYsWKF6/r58+exdOlSVbGIiEiQgoICVwEbAPz8/FBQUKAwEenF1atX0d7ejpMnT7r+R0RERORNXIlNRGQA6enp415/8sknsXPnTi+nISIiI9A0zW2nDz2aiouLUVpaipCQEPj4jKyB0jQNVVVVipMRERHRo4RFbCIiA0lOTkZqaipWrVrltpqOiIjoXsxmM9rb27FkyRIAQFtbG8xms+JUpFp1dTWOHj2K2bNnq45CREREjzAWsYmIDCQ7Oxt2ux0FBQWIjY3F2rVrsWzZMh7uSERE97R9+3ZkZWUhLCwMANDZ2YmioiLFqUi1oKAgFrCJiIhIOc3pdDpVhyAioqk1MDCAxsZG1NTU4NKlS2hpaVEdiYiIBOjr68Pp06cBAIsXL4afn5/aQKTMuXPnAABNTU24ceMGEhMTMW3aNNfvERERqqIRERHRI4grsYmIDGhgYAA9PT344YcfMGvWLNVxiIhICH9/f8TFxamOQTqwadMmt+/Nzc2uz5qmuX0nIiIi8jSuxCYiMpCmpibY7XZ0dHTAarUiOTkZUVFRqmMRERGRUM3NzYiOjnadtdHX14f29nbEx8crTkZERESPEhaxiYgMJDMzEykpKUhISMD06dNVxyEiIiLhkpKSUFdX5/rudDqRkpKCmpoahamIiIjoUcN2IkREBlJWVub6XFNTg+TkZIVpiIiIyGg0TYPD4VAdg4iIiB4xPqoDEBGRZ1RUVKiOQERERMKZzWa0t7e7vre1tcFsNitMRERERI8irsQmIjIodosiIiKih7V9+3ZkZWUhLCwMANDZ2YmioiLFqYiIiOhRw57YREQGVVtbizVr1qiOQURERML19fXh9OnTAIDFixfDz89PbSAiIiJ65LCITURkMN3d3Th58iQ0TUN0dDSCg4NVRyIiIiIiIiIiemDsiU1EZCD19fVITk7G0aNHceTIEaSkpOCTTz5RHYuIiIiIiIiI6IFxJTYRkYFYrVaUlJQgJCQEANDV1YWNGzeisbFRcTIiIiIiIiIiogfDldhERAYyY8YMVwEbAObPn48ZM2YoTERERERERERE9HC4EpuIyEDee+89mEwmpKWlwel0orq6GsPDw8jMzAQA+Pr6Kk5IRERERERERHR/WMQmIjKQiIiICX/TNA1nz571YhoiIiIiIiIioofHIjYRERERERERERER6RZ7YhMRGYTD4cC//Mu/qI5BRERERERERDSlWMQmIjIIk8mEwMBA3Lp1S3UUIiIiIiIiIqIp85jqAERENHVCQ0Oxfv16WK1WzJw503X9lVdeUZiKiIiIiIiIiOjBsYhNRGQgTqcTkZGRuHDhguooRERERERERERTggc7EhEREREREREREZFucSU2EZEBtLa2wmKxoLm5edzfX3jhBS8nIiIiIiIiIiKaGixiExEZwKFDh2CxWFBeXj7mN03TWMQmIiIiIiIiIrHYToSIiIiIiIiIiIiIdIsrsYmIDObq1avo6uqCw+FwXYuJiVGYiIiIiIiIiIjowbGITURkIMXFxSgtLUVISAh8fHwAjLQTqaqqUpyMiIiIiIiIiOjBsIhNRGQg1dXVOHr0KGbPnq06ChERERERERHRlPBRHYCIiKZOUFAQC9hEREREREREZCg82JGIyADOnTsHAGhqasKNGzeQmJiIadOmuX6PiIhQFY2IiIiIiIiI6KGwiE1EZADPP//8hL9pmobm5mYvpiEiIiIiIiIimjrsiU1EZADHjh0DADQ3NyM6Ohr+/v4AgL6+PrS3t6uMRkRERERERET0UNgTm4jIQAoKClwFbADw8/NDQUGBwkRERERERERERA+HRWwiIgPTNA0Oh0N1DCIiIiIiIiKiB8YiNhGRgZjNZrf2IW1tbTCbzQoTERERERERERE9HB7sSERkIKdOnUJWVhbCwsIAAJ2dnSgqKkJUVJTiZERERERERERED4ZFbCIig+nr68Pp06cBAIsXL4afn5/aQERERERERERED4FFbCIiIiIiIiIiIiLSLfbEJiIiIiIiIiIiIiLdYhGbiIiIiIiIiIiIiHSLRWwiIiIiIiIiIiIi0i0WsYmIiIiIiIiIiIhIt1jEJiIiIiIiIiIiIiLdYhGbiIiIiIiIiIiIiHSLRWwiIiIiIiIiIiIi0i0WsYmIiIiIiIiIiIhIt/4fpGATto1rodcAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "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": "2024-11-12T10:24:46.874275Z", "iopub.status.busy": "2024-11-12T10:24:46.874003Z", "iopub.status.idle": "2024-11-12T10:24:57.191091Z", "shell.execute_reply": "2024-11-12T10:24:57.190406Z", "shell.execute_reply.started": "2024-11-12T10:24:46.874259Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is continue\n", "len pos models: 433683\n", "differing counts: 10745\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 3030, total 3030.\n", "chirp-v3p5-engine-cfg-refactor_win_over_chirp-v3p5-engine-s-8, win ratio 0.477, (0.330, 0.625), counts 21, total 44.\n", "chirp-v3p5-engine-copy_win_over_chirp-v3p5-engine-copy, win ratio 1.000, (1.000, 1.000), counts 818, total 818.\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 496, total 496.\n", "chirp-v3p5-engine-s-29-6_win_over_chirp-v3p5-h-s-31, win ratio 0.481, (0.345, 0.617), counts 25, total 52.\n", "chirp-v3p5-engine-s-31_cfg_s_20_win_over_chirp-v3p5-engine-s-31, win ratio 0.537, (0.489, 0.584), counts 227, total 423.\n", "chirp-v3p5-engine-s-31_cfg_s_30_win_over_chirp-v3p5-engine-s-31, win ratio 0.531, (0.483, 0.578), counts 225, total 424.\n", "chirp-v3p5-engine-s-31_n_tag_2_win_over_chirp-v3p5-engine-s-31, win ratio 0.466, (0.418, 0.515), counts 187, total 401.\n", "chirp-v3p5-engine-s-31_n_tag_3_win_over_chirp-v3p5-engine-s-31, win ratio 0.498, (0.449, 0.546), counts 205, total 412.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31, win ratio 1.000, (1.000, 1.000), counts 12553, total 12553.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_cfg_s_20, win ratio 0.463, (0.416, 0.511), counts 196, total 423.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_cfg_s_30, win ratio 0.469, (0.422, 0.517), counts 199, total 424.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_n_tag_2, win ratio 0.534, (0.485, 0.582), counts 214, total 401.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31_n_tag_3, win ratio 0.502, (0.454, 0.551), counts 207, total 412.\n", "chirp-v3p5-engine-s-31_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-cfg-ramp_win_over_chirp-v3p5-engine-s-8, win ratio 0.511, (0.494, 0.528), counts 1725, total 3375.\n", "chirp-v3p5-engine-s-8-cfg-ramp_win_over_chirp-v3p5-engine-s-8-cfg-ramp, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8-cfg-refactor2_win_over_chirp-v3p5-engine-s-8, win ratio 0.500, (0.480, 0.520), counts 1223, total 2446.\n", "chirp-v3p5-engine-s-8-cfg-refactor2_win_over_chirp-v3p5-engine-s-8-cfg-refactor2, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-s-8-cfg-refactor_win_over_chirp-v3p5-engine-s-8, win ratio 0.502, (0.479, 0.524), counts 960, total 1913.\n", "chirp-v3p5-engine-s-8-copy_win_over_chirp-v3p5-engine-s-8-copy, win ratio 1.000, (1.000, 1.000), counts 1289, total 1289.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-cfg-refactor, win ratio 0.523, (0.375, 0.670), counts 23, total 44.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-ft-1, 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 229994, total 229994.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-ramp, win ratio 0.489, (0.472, 0.506), counts 1650, total 3375.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-refactor, win ratio 0.498, (0.476, 0.521), counts 953, total 1913.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8-cfg-refactor2, win ratio 0.500, (0.480, 0.520), counts 1223, total 2446.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-h-s-31, win ratio 0.260, (0.138, 0.382), counts 13, total 50.\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-6, win ratio 0.511, (0.460, 0.562), counts 186, total 364.\n", "chirp-v3p5-engine-t-6-1-b20_win_over_chirp-v3p5-engine-t-6, win ratio 0.532, (0.461, 0.603), counts 100, total 188.\n", "chirp-v3p5-engine-t-6-1_win_over_chirp-v3p5-engine-t-6, win ratio 0.496, (0.438, 0.555), counts 138, total 278.\n", "chirp-v3p5-engine-t-6-2_win_over_chirp-v3p5-engine-t-6, win ratio 0.496, (0.436, 0.557), counts 130, total 262.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-5, win ratio 0.489, (0.438, 0.540), counts 178, total 364.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 13162, total 13162.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1, win ratio 0.504, (0.445, 0.562), counts 140, total 278.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 0.468, (0.397, 0.539), counts 88, total 188.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-2, win ratio 0.504, (0.443, 0.564), counts 132, total 262.\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, (1.000, 1.000), counts 160377, total 160377.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-engine-s-29-6, win ratio 0.519, (0.383, 0.655), counts 27, total 52.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-engine-s-8, win ratio 0.740, (0.618, 0.862), counts 37, total 50.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-h-s-31, win ratio 1.000, (1.000, 1.000), counts 962, total 962.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-h-t-6, win ratio 0.514, (0.421, 0.606), counts 57, total 111.\n", "chirp-v3p5-h-t-6_win_over_chirp-v3p5-h-s-31, win ratio 0.486, (0.394, 0.579), counts 54, total 111.\n", "chirp-v3p5-h-t-6_win_over_chirp-v3p5-h-t-6, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v4-h-s-31_win_over_chirp-v4-h-s-31, win ratio 1.000, (1.000, 1.000), counts 253, total 253.\n", "tournament players: ['chirp-v3p5-engine-cfg-refactor', 'chirp-v3p5-engine-ft-1', 'chirp-v3p5-engine-s-29-6', 'chirp-v3p5-engine-s-31', 'chirp-v3p5-engine-s-31_cfg_s_20', 'chirp-v3p5-engine-s-31_cfg_s_30', 'chirp-v3p5-engine-s-31_n_tag_2', 'chirp-v3p5-engine-s-31_n_tag_3', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-s-8-cfg-ramp', 'chirp-v3p5-engine-s-8-cfg-refactor', 'chirp-v3p5-engine-s-8-cfg-refactor2', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-6', 'chirp-v3p5-engine-t-6-1', 'chirp-v3p5-engine-t-6-1-b20', 'chirp-v3p5-engine-t-6-2', 'chirp-v3p5-h-s-31', 'chirp-v3p5-h-t-6']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:04<00:00, 204.20it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-cfg-refactor: 1242.2, (198, 3872)\n", "chirp-v3p5-engine-ft-1: -10626.2, (-43474, 1000)\n", "chirp-v3p5-engine-s-29-6: 1426.1, (363, 4090)\n", "chirp-v3p5-engine-s-31: 2805.3, (985, 5364)\n", "chirp-v3p5-engine-s-31_cfg_s_20: 2830.8, (998, 5372)\n", "chirp-v3p5-engine-s-31_cfg_s_30: 2826.7, (996, 5392)\n", "chirp-v3p5-engine-s-31_n_tag_2: 2781.9, (948, 5337)\n", "chirp-v3p5-engine-s-31_n_tag_3: 2803.6, (972, 5370)\n", "chirp-v3p5-engine-s-8: 1257.9, (240, 3878)\n", "chirp-v3p5-engine-s-8-cfg-ramp: 1265.6, (247, 3874)\n", "chirp-v3p5-engine-s-8-cfg-refactor: 1259.1, (244, 3871)\n", "chirp-v3p5-engine-s-8-cfg-refactor2: 1257.9, (239, 3877)\n", "chirp-v3p5-engine-t-5: 1002.7, (969, 1033)\n", "chirp-v3p5-engine-t-6: 995.1, (978, 1011)\n", "chirp-v3p5-engine-t-6-1: 992.6, (958, 1028)\n", "chirp-v3p5-engine-t-6-1-b20: 1017.2, (976, 1061)\n", "chirp-v3p5-engine-t-6-2: 992.4, (956, 1029)\n", "chirp-v3p5-h-s-31: 1439.3, (401, 4120)\n", "chirp-v3p5-h-t-6: 1429.8, (384, 4117)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "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": "2024-11-12T10:24:57.192063Z", "iopub.status.busy": "2024-11-12T10:24:57.191800Z", "iopub.status.idle": "2024-11-12T10:25:02.024144Z", "shell.execute_reply": "2024-11-12T10:25:02.023463Z", "shell.execute_reply.started": "2024-11-12T10:24:57.192047Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is cover\n", "len pos models: 239719\n", "differing counts: 126425\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 1155, total 1155.\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-6, win ratio 0.495, (0.480, 0.510), counts 2066, total 4171.\n", "chirp-v3p5-engine-t-6-1-b20_win_over_chirp-v3p5-engine-t-6, win ratio 0.480, (0.459, 0.500), counts 1131, total 2358.\n", "chirp-v3p5-engine-t-6-1_win_over_chirp-v3p5-engine-t-6, win ratio 0.488, (0.469, 0.508), counts 1247, total 2553.\n", "chirp-v3p5-engine-t-6-2_win_over_chirp-v3p5-engine-t-6, win ratio 0.496, (0.476, 0.516), counts 1246, total 2512.\n", "chirp-v3p5-engine-t-6-2_win_over_chirp-v3p5-engine-t-6-2, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.539, (0.533, 0.545), counts 15480, total 28710.\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-6_s_30_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.541, (0.536, 0.547), counts 15492, total 28612.\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.532, (0.527, 0.538), counts 15158, total 28476.\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-6_s_30_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.536, (0.530, 0.541), counts 15551, total 29028.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_14_tag_2, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-5, win ratio 0.505, (0.490, 0.520), counts 2105, total 4171.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 111951, total 111951.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1, win ratio 0.512, (0.492, 0.531), counts 1306, total 2553.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 0.520, (0.500, 0.541), counts 1227, total 2358.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-2, win ratio 0.504, (0.484, 0.524), counts 1266, total 2512.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_30_t_12_tag_2, win ratio 0.461, (0.455, 0.467), counts 13230, total 28710.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_12_tag_2, win ratio 0.459, (0.453, 0.464), counts 13120, total 28612.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_13_tag_2, win ratio 0.468, (0.462, 0.473), counts 13318, total 28476.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_14_tag_2, win ratio 0.464, (0.459, 0.470), counts 13477, total 29028.\n", "chirp-v4-h-t-6_win_over_chirp-v4-h-t-6, win ratio 1.000, (1.000, 1.000), counts 178, total 178.\n", "tournament players: ['chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-6', 'chirp-v3p5-engine-t-6-1', 'chirp-v3p5-engine-t-6-1-b20', 'chirp-v3p5-engine-t-6-2', 'chirp-v3p5-engine-t-6_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_13_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_14_tag_2']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 706.19it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-t-5: 988.4, (978, 998)\n", "chirp-v3p5-engine-t-6: 991.7, (989, 995)\n", "chirp-v3p5-engine-t-6-1: 983.6, (971, 995)\n", "chirp-v3p5-engine-t-6-1-b20: 977.4, (965, 991)\n", "chirp-v3p5-engine-t-6-2: 988.9, (977, 1002)\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2: 1018.9, (1014, 1023)\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2: 1020.5, (1016, 1025)\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2: 1014.2, (1010, 1019)\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2: 1016.5, (1012, 1021)\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "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": "2024-11-12T10:25:02.025061Z", "iopub.status.busy": "2024-11-12T10:25:02.024819Z", "iopub.status.idle": "2024-11-12T10:25:04.784381Z", "shell.execute_reply": "2024-11-12T10:25:04.783682Z", "shell.execute_reply.started": "2024-11-12T10:25:02.025045Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is infill\n", "len pos models: 53139\n", "differing counts: 27813\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 386, total 386.\n", "chirp-v3p5-engine-t-5_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-6, win ratio 0.473, (0.441, 0.504), counts 459, total 971.\n", "chirp-v3p5-engine-t-6-1-b20_win_over_chirp-v3p5-engine-t-6, win ratio 0.521, (0.482, 0.560), counts 326, total 626.\n", "chirp-v3p5-engine-t-6-1_win_over_chirp-v3p5-engine-t-6, win ratio 0.489, (0.449, 0.529), counts 292, total 597.\n", "chirp-v3p5-engine-t-6-2_win_over_chirp-v3p5-engine-t-6, win ratio 0.524, (0.485, 0.564), counts 324, total 618.\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.498, (0.485, 0.510), counts 3133, total 6296.\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.482, (0.470, 0.495), counts 2964, total 6144.\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.482, (0.470, 0.495), counts 3062, total 6347.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.470, (0.457, 0.482), counts 2918, total 6213.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6-1, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-5, win ratio 0.527, (0.496, 0.559), counts 512, total 971.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 24872, total 24872.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1, win ratio 0.511, (0.471, 0.551), counts 305, total 597.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 0.479, (0.440, 0.518), counts 300, total 626.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-2, win ratio 0.476, (0.436, 0.515), counts 294, total 618.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_30_t_12_tag_2, win ratio 0.502, (0.490, 0.515), counts 3163, total 6296.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_12_tag_2, win ratio 0.518, (0.505, 0.530), counts 3180, total 6144.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_13_tag_2, win ratio 0.518, (0.505, 0.530), counts 3285, total 6347.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_14_tag_2, win ratio 0.530, (0.518, 0.543), counts 3295, total 6213.\n", "chirp-v4-h-t-6_win_over_chirp-v4-h-t-6, win ratio 1.000, (1.000, 1.000), counts 67, total 67.\n", "tournament players: ['chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-6', 'chirp-v3p5-engine-t-6-1', 'chirp-v3p5-engine-t-6-1-b20', 'chirp-v3p5-engine-t-6-2', 'chirp-v3p5-engine-t-6_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_13_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_14_tag_2']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 750.35it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-t-5: 985.8, (966, 1007)\n", "chirp-v3p5-engine-t-6: 1004.8, (999, 1011)\n", "chirp-v3p5-engine-t-6-1: 996.6, (971, 1024)\n", "chirp-v3p5-engine-t-6-1-b20: 1019.2, (994, 1044)\n", "chirp-v3p5-engine-t-6-2: 1021.7, (998, 1047)\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2: 1003.1, (994, 1013)\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2: 992.6, (983, 1003)\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2: 992.6, (983, 1002)\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2: 983.7, (973, 994)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "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": "2024-11-12T10:25:04.785242Z", "iopub.status.busy": "2024-11-12T10:25:04.785080Z", "iopub.status.idle": "2024-11-12T10:25:10.459179Z", "shell.execute_reply": "2024-11-12T10:25:10.458483Z", "shell.execute_reply.started": "2024-11-12T10:25:04.785226Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is artist\n", "len pos models: 223226\n", "differing counts: 117037\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 1795, total 1795.\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, (1.000, 1.000), counts 4, total 4.\n", "chirp-v3p5-engine-s-31_win_over_chirp-v3p5-engine-s-31, win ratio 1.000, (1.000, 1.000), counts 38, total 38.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 534, total 534.\n", "chirp-v3p5-engine-t-5_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-6, win ratio 0.492, (0.475, 0.508), counts 1750, total 3558.\n", "chirp-v3p5-engine-t-6-1-b20_win_over_chirp-v3p5-engine-t-6, win ratio 0.492, (0.469, 0.515), counts 873, total 1775.\n", "chirp-v3p5-engine-t-6-1-b20_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-v3p5-engine-t-6-1_win_over_chirp-v3p5-engine-t-6, win ratio 0.499, (0.479, 0.519), counts 1183, total 2371.\n", "chirp-v3p5-engine-t-6-2_win_over_chirp-v3p5-engine-t-6, win ratio 0.497, (0.476, 0.517), counts 1128, total 2271.\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.536, (0.530, 0.542), counts 14092, total 26296.\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-6_s_30_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_13_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.547, (0.541, 0.553), counts 14773, total 26997.\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.543, (0.537, 0.549), counts 14545, total 26773.\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_13_tag_2, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6, win ratio 0.539, (0.533, 0.545), counts 14556, total 26990.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_12_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_13_tag_2, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2_win_over_chirp-v3p5-engine-t-6_s_max_t_14_tag_2, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-5, win ratio 0.508, (0.492, 0.525), counts 1808, total 3558.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 103779, total 103779.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1, win ratio 0.501, (0.481, 0.521), counts 1188, total 2371.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-1-b20, win ratio 0.508, (0.485, 0.531), counts 902, total 1775.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6-2, win ratio 0.503, (0.483, 0.524), counts 1143, total 2271.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_30_t_12_tag_2, win ratio 0.464, (0.458, 0.470), counts 12204, total 26296.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_12_tag_2, win ratio 0.453, (0.447, 0.459), counts 12224, total 26997.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_13_tag_2, win ratio 0.457, (0.451, 0.463), counts 12228, total 26773.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6_s_max_t_14_tag_2, win ratio 0.461, (0.455, 0.467), counts 12434, total 26990.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-h-s-31, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-h-s-31_win_over_chirp-v3p5-h-t-6, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-v4-h-t-6_win_over_chirp-v4-h-t-6, win ratio 1.000, (1.000, 1.000), counts 29, total 29.\n", "tournament players: ['chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-6', 'chirp-v3p5-engine-t-6-1', 'chirp-v3p5-engine-t-6-1-b20', 'chirp-v3p5-engine-t-6-2', 'chirp-v3p5-engine-t-6_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_13_tag_2', 'chirp-v3p5-engine-t-6_s_max_t_14_tag_2', 'chirp-v3p5-h-s-31', 'chirp-v3p5-h-t-6']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 415.26it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-t-5: 983.1, (972, 994)\n", "chirp-v3p5-engine-t-6: 988.8, (986, 992)\n", "chirp-v3p5-engine-t-6-1: 988.0, (975, 1001)\n", "chirp-v3p5-engine-t-6-1-b20: 983.1, (969, 997)\n", "chirp-v3p5-engine-t-6-2: 986.5, (974, 1000)\n", "chirp-v3p5-engine-t-6_s_30_t_12_tag_2: 1013.8, (1009, 1019)\n", "chirp-v3p5-engine-t-6_s_max_t_12_tag_2: 1021.7, (1017, 1027)\n", "chirp-v3p5-engine-t-6_s_max_t_13_tag_2: 1018.9, (1014, 1024)\n", "chirp-v3p5-engine-t-6_s_max_t_14_tag_2: 1016.2, (1011, 1021)\n", "chirp-v3p5-h-s-31: 1826.3, (1000, 1932)\n", "chirp-v3p5-h-t-6: 173.7, (69, 1000)\n" ] }, { "data": { "image/png": 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EiA5W0MEGOoTerl271Lt3bzVp0kSjR4/WBRdcoH79+ik7O5vXq4516dLF9QjwMBbfASCM+P3+4Ne9e/c+5m0AABwLR3eFxvDhw4Nfp6WlldiG0MrKylKNGjW0Y8cO16NENDq4xX7JrQMHDhT7/sYbb9Qll1yia665Rvv373c0VeT617/+Ffx64MCBJbYBvxaL7wAQRjp06KCcnBxJUp8+fYLbf/zxR9WuXdvVWDiGqCh+DFvAQqMdPCdsGDx4sOsRIsLKlStLbFuxYoWDSSLTkCFDtGvXLknS0qVL1aVLFz3++OPq1q2b5s2b53i6yEEHW9gvudWgQQMtXry42LYBAwaoa9euysjIcDRV5Prwww9/1Tbgl/gC/MYJAMBJsXXr1hLbKlSooMTERAfT4FiysrJUpUoV12NEBJ4TNvTp06fEx9crVKig5s2bq2/fvoqLi3M0WWSYO3eu5syZo+XLl+u8884Lbs/OzlZ+fr5ef/11h9NFjssvv1yzZs2SJF199dX629/+psaNG2vTpk0aNGiQZs6c6XbACEEHG9gv2ZCfny9JR/05vH37dtWoUSPUI0Wkjz/+WB9//LHeeecdde3aNbg9Oztba9as0YwZMxxOBy/igqsAEOYefvhh3X///a7HiEjdu3fX3r17FRNz6MdtYWGhEhISdMopp2jMmDFq3Lix4wkjQ3JycomFxvLly6t58+Z64IEHVKdOHUeTRR6eEzY0adJE69atU1pamnw+n2bOnKnq1atr9erVevjhh/Xwww+7HjGsnX766erYsaO+/fZbdezYMbg9MTFRqampDieLLEdevDAvLy+4/6lbty6n6gshOtjAfsmGIxfdt27dqs8++0w+n08tW7ZUrVq1HE4WWcqUKaMKFSooKipK5cuXD26vWbOmbr75ZoeTwas48h0Awlx6ejrvzjsyZswYnX766UpPT1cgENCsWbP03XffqUWLFpo4cSJHEYXIv/71L/n9fl111VWSpDfffFMFBQWqWrWqPvroI02cONHxhJGD54QNvXr10pQpUxQdHS1JKigoUO/evfXaa6+pa9euevfddx1PGBmO/NTN3r17VbFiRccTRZaHH35YPp9PgwcP1nPPPaczzzxTXbt21eLFizVx4kRNmjTJ9YgRgQ62sF+yYfbs2RoxYoTOPfdcBQIBffHFF7r//vt16aWXuh4toqxdu1bJycmux0AY4MSaABDmeI/VnU8++UTdu3eXz+dTVFSU0tLStHTpUnXq1Cl4bn6cfPPmzdOgQYNUo0YN1ahRQ7fccos+/vhj9e3bV9u3b3c9XkThOWHD7t27i30axOfzBT+RUKZMGYeTRZYjT3fVr18/d4NEqHvuuUdRUVFq27at5syZoyFDhqhJkyaaNGmSHnnkEdfjRQw62MJ+yYZnnnlGb731lsaNGxf8euzYsa7HijhHLrz37NnT4STwOk47AwBh7vHHH3c9QsTKz8/Xhg0bVL9+fUnShg0bgh+v5sKSobN///5iR3JlZWVp//79khQ8/QlCg+eEDampqbr++uuD5zF95513dP7552v//v2c790R3igPvbi4ON13330aPHiwMjIy5Pf7VbNmTVWuXNn1aBGFDnaxX3InPj5edevWDX5fp04dxcfHO5wIR54iC/it+I0TAMLQggUL1KpVKyUmJmrRokV66qmndMstt6hhw4auR4sod9xxh3r27Bk8amLdunUaMWKE9u/fry5dujieLnL0799fl19+udq2bSvp0NHXN910k/bv368WLVo4ni6y8Jyw4e9//7veeOMNzZ8/X5LUvn179ezZUzExMfr3v//teLrIVK9ePdcjRKz4+Hg1atRIkjRjxgylp6c7nigy0cEe9kuhd/hTgO3atdPYsWN15ZVXKhAIaNq0aWrfvr3j6SJb2bJlXY8AD+Oc7wAQhrp27arZs2dr7dq1uueee/TnP/9Zs2bN0muvveZ6tIiTlZWlr776SpLUvHnzYh/nReh89913WrZsmSTpvPPO440oh3hOAMXl5+fziQMjuE6ODXRwj/2SG8nJyfL5fEf91IHP59OaNWscTAXg9+LIdwAIQ4dPpfHJJ5/oqquuUq9evfTGG284nioyValSRR06dHA9RsRr2LAhC+5G8JywYe7cuVq7dm2xj1EPHTrU4USRZ+3atbrrrru0b98+LV68WKtXr9bcuXM1ZMgQ16NFLI5Ls4EO7rBfcmvt2rWuR8ARCgsL9cEHHygjI0OFhYXB7bfccovDqeBFnFwTAMKQ3+/XypUr9cEHH+j888+XpGIvGBAaGzZs0HXXXac2bdqoVatWwX8QWrt27dKwYcPUq1cvpaenB/9B6PGcsGHEiBGaNWuWpk+fLp/Pp/fff1/Z2dmux4o4jzzyiIYPHx789MdZZ52ljz76yPFUkY0LTNpAB3fYL9nDp0DcueOOOzR58mTt3r1b+/fvD/4D/FYsvgNAGLr99tv1wAMP6JxzzlGDBg20fv364AUOETr333+/unfvrooVK2ry5Mm6+OKLde2117oeK+L87W9/U+3atbV7924NGjRI1atXV7t27VyPFZF4TtiwbNky/etf/1KVKlV077336s0339T27dtdjxVx9u/fr5YtWwa/9/l8io2NdThRZBo+fHjw67S0tBLbEBp0sIH9kj2TJk1yPULEWrdunV577TUNHTpU99xzT/Af4Ldi8R0AwlCHDh309ttvB18cnH766Ro7dqzjqSJPTk6OunTpoqioKDVq1EgPPfSQ5s2b53qsiLNt2zYNHDhQcXFx6tChg8aOHaulS5e6Hisi8ZywIS4uTlFRUfL5fCooKFC1atW0Y8cO12NFnJiYGBUUFMjn80k6tK+KiuLXs1BbuXJliW0rVqxwMElko4MN7Jfs4TRM7tSsWVMFBQWux0AY4JzvABDmevbsyfneHTl87v1y5cpp8+bNqlatmnbv3u14qshz+IituLg47d69WxUrVqSDIzwnbChXrpzy8vJ0zjnn6O6771ZSUpLKli3reqyI07t3b/31r39VVlaWnnjiCc2ePVt33XWX67Eixty5czVnzhxt3ry52Pl7s7OzlZCQ4HCyyEIHW9gv2cNpmELv8KcN6tWrpz59+qhTp04qU6ZM8Pa+ffu6Gg0exeI7AIS5Iy+mh9Bq2bKldu/erd69e6tHjx6KjY3VJZdc4nqsiFO/fn3t3r1bl19+ua666iolJibqrLPOcj1WROI5YcM///lPRUdHa8iQIXrppZe0b98+Ph3lQLdu3VS3bl3Nnz9fBQUFGj16dLHTPeDkOv3009WxY0d9++236tixY3B7YmKiUlNTHU4WWehgC/slew6fhgmhs2bNmuDXp59+utavX+9wGoQDX4DPsABAWOvVq5emTp3qeoyIt23bNmVnZ6thw4auR4loX3zxhfbt26e2bdsqOjra9TgRjeeEO2+99ZauuOKKX9wGRIKsrKzgxSX37t2rihUrOp4oMtEBOL6LL75Y77//vusxAJwATt4FAGGOhXd3br755uDXNWvWVMOGDYttQ2gcecG2c845R+3bt9fDDz/sbqAIxnPChilTppTY9tprrzmYJLJt3rxZw4YN07XXXqu+ffsG/0FoHV7wlTi9g0t0sIH9kltr16495j/79+93PV5EGzRokOsR4GGcdgYAwlBhYaE++OADZWRkqLCwMLj9yHNp4uTbtm1biW2bNm1yMElk4yJudvCccGvVqlVasWKFsrKyguczlQ6dWzk/P9/hZJHp9ttvV2pqqnr37s0ncYzgQ+E20MEd9ktupaWlqXbt2kd9DuzZsyf0AyFo8+bNrkeAh7H4DgBh6I477tDOnTuVkpKiqCg+5BRqU6dO1dSpU7Vhwwalp6cHt2dnZ+uMM85wOFlk4SJudvCcsGHHjh1au3atDhw4UOx8puXKldPIkSMdThaZDh48qDvvvNP1GDhCvXr1XI8A0cEl9ktu1apVS6+99ppq1KhR4rZ27do5mAiH8aYgfg8W3wEgDK1bt07vvfeefD6f61Ei0p/+9CeddtppGj58uIYOHRrcnpiYqEaNGjmcLLJwETc7eE7Y0KlTJ3Xq1EkfffTRcX+Jf/fdd7kQbgg0bNhQW7duVa1atVyPAkn5+fl6+umnXY8R8ejgFvsltzp06KBNmzax+G7Q5MmTXY8AD+OCqwAQhvr166fx48crLi7O9Sg4jrvvvluPPfaY6zHC3pEXcTuaxx57THfffXcIJ8Kx8JywIT09XTNmzHA9Rtjr37+/Vq9erebNm6tMmTLB7ePGjXM4VeRZu3at7rrrLu3bt0+LFy/W6tWrNXfuXA0ZMsT1aBGFDjawXwJK2rZtm1avXq2GDRvq1FNPdT0OPIgj3wEgjBw+h2+9evXUp08fderUqdgLZy6YZMsPP/zgeoSIcLyFd0lasmRJiCbBL+E5YQPH5oTG5Zdfrssvv9z1GBHvkUce0fDhwzVixAhJ0llnnaV77rmHRd8Qo4MN7JfsmTFjRrFT9uHkO/JgkGXLlmnw4MFq3Lix1q1bp2HDhunCCy90PCG8hsV3AAgjR57D9/TTT9f69esdTgN4AwuNQHGcsiw0WEyxYf/+/WrZsmXwe5/Pp9jYWIcTRSY62MB+yZ5JkybRJcS+//774NfPPvusxo0bpxYtWmjDhg268847WXzHb8biOwCEES6YB/x2LDQCCKUXX3xR11577TF/Zh95XQScfDExMSooKAj+LNi2bRsXq3eADm6xX7KLg0RC78jfDfbs2aMWLVpIkurXry+/3+9qLHgYi+8AEOYGDRqksWPHuh4DAOAR/KJ/ciUkJEiSypcv73gSSFLv3r3117/+VVlZWXriiSc0e/Zs3XXXXa7Hijh0cIv9kl39+vVzPULE+emnnzRy5EgFAgHt3r1bfr9f0dHRksTiO04Ii+8AEOY2b97segQcA0d02cBCox08J2wYPHiw6xHCWq9evSRJt9xyi+NJIEndunVT3bp1NX/+fBUUFGj06NHFTn+C0KCDW+yXbMrKylKNGjW0Y8cOVa9e3fU4EaN3797Br6+88krt2bNHVatW1fbt23XWWWc5nAxe5QvwGycAhLW0tDTNnDnT9RiACXv37lXFihWLbcvKyvrFi7Ki9E2dOjX4yz5CZ+bMmdq8ebPat29f7BfI559/XjfccIPDySLPuHHjSmyrUKGCmjdvrpSUFAcTAYh07JfcGjJkiO655x5VrVpVS5cu1eDBg1WnTh1t2bJFDz/8sDp16uR6RAAngCPfASDMTZ482fUIEScjI0N/+9vftHXrVnXq1El33HGHypQpI0nq2bOn3njjDccTRoY1a9bo3nvvVVRUlEaPHq3HHntMy5YtU+XKlfXcc88pOTlZklh4D4H58+eX2DZ27FhVq1ZNktSxY8dQjxSRxowZoy+//FKNGzfWDTfcoOuvv17XXHONJOm9995j8T3E1q9fr+XLl+uCCy6Qz+fTwoUL1bx5c02ZMkW9e/dW3759XY8YETZv3qwJEyZo06ZNKiwsDG6fNGmSw6kiDx1sYL/k1tq1a1W1alVJ0jPPPKOXXnpJjRs31qZNmzRo0CAW30MsPz9fL7/8spYsWSKfz6fU1FT169dPcXFxrkeDx7D4DgBhbNu2bVq9erUaNmyoU0891fU4EePBBx9U586d1axZM02aNEnXXHONXnjhBSUmJurgwYOux4sYjzzyiAYNGqR9+/Zp4MCBuu222zR+/HjNmzdPo0eP1osvvuh6xIjx17/+Vc2bN1dsbGxwW3Z2tl5++WX5fD4W30Pko48+0rRp0xQXF6cbb7xRN910kw4cOKAbbriB0y85sHfvXs2cOVNJSUmSpMzMTA0ZMkRvvPEGi1whdPvttys1NVW9e/cOntMXoUcHG9gvuXXk7wl5eXlq3LixJKlu3bqca9yBYcOGaffu3br66qslSdOnT9ewYcOOeWFi4FhYfAeAMHL33XfrsccekyQtW7ZMgwcPVuPGjbVu3ToNGzZMF154oeMJI8OuXbuC5wocPXq0nnvuOfXr108vvfSSfD6f4+kiR05OTvAIoaefflppaWmSpE6dOnER4hB75JFH9Oabb2ro0KH6wx/+IEnq0KEDn8wJsUAgEDxaq1q1anr55Zd13XXXye/3s29yYPv27cEFLklKSkrSjh07VKlSJcXE8GtaqBw8eFB33nmn6zEiHh1sYL/kVps2bTRixAgNHjxYrVu31qxZs9S1a1ctXrxYlStXdj1exFmxYoXefffd4Guk9u3b69JLL3U8FbyIq1oBQBj5/vvvg18/++yzGjdunCZOnKhXX31Vzz33nMPJIsuBAweKfX/jjTfqkksu0TXXXKP9+/c7miryHHkk73nnnXfM23Dy9ejRQ48//rgee+wxjRs3jsVeR+Lj44tdhDsxMVETJ07U4sWLi/38QGjUqFFD48aN07Zt27Rt2zaNGzdO1atX5/kRYg0bNtTWrVtdjxHx6GAD+yW37rnnHkVFRalt27aaM2eOhgwZoiZNmmjSpEl65JFHXI8XcSpVqlTs97r8/HzeBMEJ4a1LAAgjR74o3rNnj1q0aCFJql+/Ph9VDKEGDRpo8eLFatu2bXDbgAEDFBUVpUcffdThZJElKSlJOTk5SkxMLPbffceOHcFz8CN0ateurRdffFEvvfSSevfurfz8fNcjRZw777xTOTk5xbaVK1dOL774IudVdmDUqFEaMWJE8FM5559/vkaOHKnCwkJ+VoRQVlaWunXrpubNmxf72XC0C0/i5KGDDeyX3IqLi9N9992nwYMHKyMjQ36/XzVr1mTB15HTTz9dV111lTp37ixJev/999W0adPgayZOw4Rfyxfg0C8ACBupqam6/PLLFQgE9P7772vBggXB82Z27dpVs2fPdjxhZDi8qHi0i/Fs375dNWrUCPVIOEJ2drays7NVq1Yt16NErO+//16ff/65/vznP7seBUCEmzFjxlG3p6enh3iSyEYH4OhmzJjB88CRoUOHHvd2zv2OX4vFdwAII/97dNCf//xnVa1aVdu3b9cTTzyhUaNGOZoMAGDZE088ocGDB7seI+KsXLkyeHTjYYePOAUAF9gv2ZKenn7MN6cAeAOL7wAAhNDFF1+s999/3/UYEY8OdtDChgsuuECLFi1yPUZEGTZsmD755BM1btxYUVGHLsXl8/n01FNPOZ4sMrz44ou69tprj3nk4i8d8YjSQQdb2C/Zk5aWppkzZ7oeI+KsXbtWkpScnKwNGzZo0aJFatSokVJTUx1PBi/inO8AEIby8/P18ssva8mSJfL5fEpNTVW/fv2OehoUlL7DL9aOhguuhg4d7KCFDcf62HogENCuXbtCPA2WLl2quXPncg0KRxISEiRJ5cuXdzxJZKODLeyX7OnXr5/rESLO5MmT9eKLL6qwsFADBgzQ22+/rZSUFL3++uvq37+/evXq5XpEeAxHvgNAGBo6dKh2796tK664QpI0ffp0VaxYkfPShUhycrJq166to/2I3bFjh1avXu1gqshDBztoYUPLli31+OOPKz4+vtj2QCCgwYMHa8mSJY4mi0y9e/fWq6++Wuxi6QDgEvslG4YPH67hw4f/4jacHF27dtXUqVO1f/9+derUSe+9955q1aqlrKwsXXvttXwSAb8ZR74DQBhasWKF3n333eAL5/bt2+vSSy91PFXkqFWrll577bWjXli1Xbt2DiaKTHSwgxY2NG7cWOXLl1eLFi1K3BYbG+tgosiWkpKiW2+9VZdcckmxo0w7duzocKrI87/Xy5GkChUqqHnz5kpJSXEwUWSigw3sl2xYuXJliW0rVqxwMElkio6OVrly5VSuXDnVq1dPtWrVkiRVqVKFN6ZwQlh8B4AwVKlSJR04cCB4dGN+fr4qV67seKrI0aFDB23atImFRsfoYActbBg1apQSExOPehvn3Q+9w5/4eP3114PbfD4fi1whtn79ei1fvlwXXHCBfD6fFi5cqObNm2vKlCnq3bu3+vbt63rEiEAHG9gvuTV37lzNmTNHmzdv1i233BLcnp2dHTxFE06+Iy82PGjQoGK35efnh3ochAFOOwMAYei+++7T119/rc6dO0s6tKjStGlTNWrUSJL4BcaI/Px8zsNvAB3soIUNjz32mO6++27XYwAhMWDAAD366KNKSkqSJGVmZmrIkCH65z//qd69e2vOnDmOJ4wMdAAOXSPn22+/1dixY3XrrbcGtycmJio1NfWYb6CjdE2ZMkXdunUr8d/7xx9/1CuvvKKHHnrI0WTwKo58B4AwFAgE1KRJE23evFmSdNZZZ6moqEhr1qxxPBmO1LNnT82YMcP1GBGPDnbQwgbO/R4ahYWFmjRpkjIyMjR8+HBlZGRoy5YtSk1NdT1aRNm+fXtwwVeSkpKStGPHDlWqVEkxMfy6HCp0sIH9klvJyclKTk7WBRdcoCpVqkiS9u7dq4oVKzqeLLL07t37qNsbNGjAwjtOCD/FACAMcWFVb+DDZzbQwQ5a2ECH0HjooYdUVFSkL774QtKhU8bdfvvtmj59uuPJIkuNGjU0btw49ejRQ5I0bdo0Va9eXX6/n3P7hhAdbGC/ZMPhhXdJ6tevHwcmOJKenq4rrrhCl112GW+A4HeJcj0AAKB0rV27VmvXrpUkbdiwQS+//LKWLl3qeCocDb9M2kAHO2hhAx1CY+XKlRoxYkTwooYVKlRQYWGh46kiz6hRo/T9998rLS1NaWlp+v777zVy5EgVFhbq0UcfdT1exKCDDeyX7OENcXeGDh2qr7/+WhdddJFuv/12ffzxx/TACeHIdwAII5MnT9aLL76owsJCDRgwQG+//bZSUlL0+uuvq3///urVq5frEQEAgBRc3DrM7/fzS70D1apV01NPPXXU2w5fKwcnHx1sYL9kT7169VyPELFatWqlVq1aKTc3V++9957Gjx+v+++/X4sWLXI9GjyGxXcACCP//ve/9c4772j//v3q1KmT3nvvPdWqVUtZWVm69tprWXw3hl9mbKCDHbSwgQ6h0ahRI7399tsqKirSxo0bNWHCBLVq1cr1WBFp5cqVysjIkN/vD25LS0tzN1CEooN77Jdsyc/P19NPP+16jIiXm5urrKws7dq1S+XLl3c9DjyI084AQBiJjo5WuXLlVL16ddWrV0+1atWSdOi8gZxGIPSysrKOu61Zs2ahHCdi0cEOWtgwfPjw42578cUXQzdMBLv33nv1xRdfKDMzU7169VJUVJTuuusu12NFnGHDhumOO+7Q+++/rwULFmjBggVauHCh67EiDh1sYL9kw9q1a3XZZZepU6dOkqTVq1dr9OjRjqeKPB988IFuvPFGde3aVVu2bNGoUaM0e/Zs12PBg3wBDm0BgLDRtWvX4AuC999/XxdffHHwtksvvVRz5sxxNVpESk9PL3GBpKNtw8lFBztoYcPR/pt369ZNb7/9tqOJAHcuuugizZ49u8TpNhBadAB+1qdPH912220aMWKEZs6cqUAgoMsuu4zf5ULs2muvVffu3XXhhReyb8LvwmlnACCM9OrVSzk5OUpMTCy28P7jjz/qnHPOcThZZMnPz1d+fr78fr9ycnKC27Ozs5Wbm+twsshCBztoYcPcuXM1Z84cbd68Wbfccktwe3Z2thISEhxOhkGDBmns2LGux4hI1apVU1xcnOsxIh4d7GG/5M7+/fvVsmXL4Pc+n0+xsbEOJ4pMR34ScMaMGUpPT3c4DbyMxXcACCO9e/c+6vYGDRrooYceCvE0kWv8+PEaN26cfD5fsRfOiYmJ6t+/v8PJIgsd7KCFDaeffro6duyob7/9Vh07dgxuT0xMVGpqqsPJsHnzZtcjRKyUlBTdeuutuuSSS4od2XjkcwQnHx3sYb/kTkxMjAoKCoKnDd22bZuiojhrtEuTJk1i8R0njNPOAEAYSk9P1xVXXKHLLrtMFStWdD1OxBo2bJgefPDBY96en5/PUV4hQAc7aGFDVlaWqlSpcszbH3vsMd19990hnAhpaWmaOXOm6zEiUp8+fUps8/l8mjRpkoNpIhcd7GG/5M7bb7+tOXPmaN26dUpLS9Ps2bN11113qUuXLq5Hi1g8H/B7sPgOAGFo+fLlmj59uhYuXKjU1FT16NFDbdq04aKrxnCuaxvoYActbKBD6GVnZ6t8+fKuxwCAIPZLbn355ZeaP3++AoGAOnToUOyTgwi9mTNnKi0tzfUY8ChOOwMAYahVq1Zq1aqVcnNz9d5772n8+PG6//77tWjRItej4Qi8/20DHeyghQ10CK1t27Zp9erVatiwoU499VTX40ScwsJCTZo0SRkZGRo+fLgyMjK0ZcsWTsUUYnSwhf2Sey1atFCLFi1cjxHxtm7dqs8++0xRUVHaunWratWq5XokeBAnjQKAMJabm6usrCzt2rWLI1cM4pMINtDBDlrYQIeT68hT+ixbtkw9evTQ1KlT1bt3b3344YcOJ4tMDz30kNavX69ly5ZJkipVqqTHHnvM8VSRhw5usV+yZfPmzRo2bJiuvfZa9e3bN/gPQmv27NlKT0/Xhx9+qPfff1/du3fXnDlzXI8FD+LIdwAIQx988IGmT5+ulStXqnPnzho1apRSUlJcjwUAQMT7/vvvg18/++yzGjdunFq0aKENGzbozjvv1IUXXuhwusizcuVKvf3228HTCVSoUEGFhYVuh4pAdHCL/ZItt99+u1JTU9W7d29FR0e7HidiPfPMM3rrrbdUt25dSYfeFLnuuut06aWXOp4MXsPiOwCEoalTp6p79+566qmnVKZMGdfj4Bg4tYMNdLCDFjbQ4eQ68pMFe/bsCZ5WoH79+vL7/a7Gilj/+zrJ7/fzHHCADm6xX7Ll4MGDuvPOO12PEfHi4+ODC++SVKdOHcXHxzucCF7F4jsAhKEXX3wx+PWMGTOUnp7ucBocS7NmzVyPANHBElqExqZNm7R161ZJUq1atYr9YikV/xmC0vfTTz9p5MiRCgQC2r17t/x+f/DIRha5Qq9Ro0Z6++23VVRUpI0bN2rChAlq1aqV67EiDh3cYr9kS8OGDTm/uAHt2rXT2LFjdeWVVyoQCGjatGlq3769cnJyJEmJiYmOJ4RX+AK8nQwAYS09PV0zZsxwPUZEev7553XDDTcEvy8oKNA//vEPDRs2zOFUkYcOdtDCrR9//FH33HOPfvrpJ9WsWVPSoYvqnXLKKRo5cqTOPPNMxxNGhnHjxhX7/s9//rOqVq2q7du364knntCoUaMcTRaZ9u/fr0cffVTz5s1TIBDQhRdeqKFDh3J0Y4jRwS32S7b0799fq1evVvPmzYt9KuR/O+HkSk5OPuZtPp9Pa9asCeE08DIW3wEgzKWlpWnmzJmux4hIN954o4qKivTYY49p7969uv3223X22Wfr/vvvdz1aRKGDHbRw68orr9R1112niy++uNj29957Ty+88ILeeustR5MBAIDDjnXgFJ9mBryJxXcACHMzZ84MXrwKoTdx4kRNmTJFRUVFuvfee9W5c2fXI0UkOthBC3cuvvhivf/++7/5Npwc+fn5evnll7VkyRL5fD6lpqaqX79+iouLcz1axBo0aJDGjh3reoyIRwd32C8Bh/j9fnXt2lVz5851PQrCAOd8B4AwtXXrVn322WeKiorinIGOFBQUaOvWrSpfvrz27dungwcPuh4pItHBDlq4VblyZc2cOVOXX365oqKiJElFRUV6++23VblyZcfTRZ5hw4Zp9+7duvrqqyVJ06dP17BhwzRy5EjHk0WuzZs3ux4BooNL7JfcevHFF3Xttdce87/30KFDQzxR5IqOjlaVKlWUl5fH6a/wu7H4DgBhaPbs2RoxYoTOPfdcBQIB/eMf/9D999+vSy+91PVoEaVXr15q0qSJ3nzzTWVmZuqOO+7QsmXL9I9//MP1aBGFDnbQwq1HH31UDzzwgEaMGKFq1apJknbu3Kk//OEPLKw4sGLFCr377rvy+XySpPbt2/Nz2jE+FG4DHdxhv+RWQkKCJKl8+fKOJ4Ek1atXT3/+85/VuXPnYBtJ6tu3r8Op4EUsvgNAGHrmmWf01ltvqW7dupIOHUF03XXX8eI5xPr166euXbtKkmrVqqVXX31Vjz/+uOOpIg8d7KCFW6eeeqpeeeUVZWVladu2bZKkmjVrqkqVKo4ni0yVKlXSgQMHgkfU5efn8wkExyZPnux6BIgOLrFfcqtXr16SpFtuucXxJJAOvRHYuHFjbdy40fUo8DjO+Q4AYSg9Pb3EhXqOtg0AENn27t2rihUruh4jIt133336+uuvg9c9eP/999W0aVM1atRIEkfWhdq2bdu0evVqNWzYUKeeeqrrcSIWHdxiv2TDuHHjSmyrUKGCmjdvrpSUFAcTAfg9OPIdAMJQu3btNHbsWF155ZUKBAKaNm2a2rdvr5ycHElSYmKi4wkjw4EDBzR58mStXbu22Lmtj/aCGicPHeyghVtr1qzRvffeq6ioKI0ePVqPPfaYli1bpsqVK+u5555TcnKy6xEjSiAQUJMmTYLntz7rrLNUVFSkNWvWOJ4sMtx999167LHHJEnLli3T4MGD1bhxY61bt07Dhg3ThRde6HjCyEAHW9gv2bB+/XotX75cF1xwgXw+nxYuXKjmzZtrypQp6t27N2+CnGTLly9Xq1atNH/+/KPe3rFjxxBPBK9j8R0AwtBzzz0n6dDpZ470r3/9Sz6fjxfQIfL3v/9diYmJWrFihfr3768ZM2aoZcuWrseKOHSwgxZuPfLIIxo0aJD27dungQMH6rbbbtP48eM1b948jR49Wi+++KLrESMK59l36/vvvw9+/eyzz2rcuHFq0aKFNmzYoDvvvJNF3xChgy3sl2zYu3evZs6cqaSkJElSZmamhgwZojfeeIPF9xCYNWuWWrVqpZdffrnEbT6fj8V3/GYsvgNAGFq7dq3rESBp3bp1mj17trp27ao+ffooPT1dN9xwg+uxIg4d7KCFWzk5OerUqZMk6emnn1ZaWpokqVOnTho7dqzDySLP4Z/TycnJ2rBhgxYtWqRGjRopNTXV8WSR4/AFJSVpz549atGihSSpfv368vv9rsaKOHSwg/2SHdu3bw8uvEtSUlKSduzYoUqVKikmhmW8k23EiBGSuP4ESg/PWgAIM36/X127dtXcuXNdjxLxypQpI0mKiYlRbm6uEhMTlZWV5XiqyEMHO2jh1pGXejrvvPOOeRtOrsmTJ+vFF19UYWGhBgwYoLffflspKSl6/fXX1b9//+AF93By/fTTTxo5cqQCgYB2794tv9+v6OhoSWLRN4ToYAP7JVtq1KihcePGqUePHpKkadOmqXr16vL7/cXesMLJt2PHDm3evLnY/ujcc891OBG8iMV3AAgz0dHRqlKlivLy8hQfH+96nIhWsWJF7d27V23bttWAAQNUuXJlnXLKKa7Hijh0sIMWbiUlJSknJ0eJiYl69NFHg9t37NgRfGMEJ9+///1vvfPOO9q/f786deqk9957T7Vq1VJWVpauvfZaFrlCpHfv3sGvr7zySu3Zs0dVq1bV9u3bddZZZzmcLLLQwQb2S7aMGjVKI0aMCH5C7fzzz9fIkSNVWFhY7Oc3Tq5nn31WEydOVN26dRUVFSXp0Kd13nrrLceTwWt8AQ5zAYCwc9999+nbb79V586dlZCQENzO+QFD6/DRW4FAQLNmzVJ2drbS0tK44G2I0cEOWtiUnZ2t7Oxs1apVS5KUn5+vuLg4x1OFr7S0NM2cOVOSdNlll+mdd94J3paenq4ZM2Y4mgxApGK/BJTUqVMnvfnmm6pcubLrUeBxHPkOAGEoEAiocePG2rhxo+tRItrhj037fD5169bN8TSRiw520MKm8uXLq3z58sHve/bsyULLSXTkR9cHDRpU7Lb8/PxQjxPx8vPz9fLLL2vJkiXy+XxKTU1Vv379eAMqxOjgFvsle1auXKmMjIxibQ4fCY/QSEpKYuEdpYLFdwAIQyNHjnQ9AiR99tlnevTRR5WRkaHCwsLg9i+//NLhVJGHDnbQwhv4YOzJ1atXr+Dpfy6++OLg9h9//FHnnHOOw8ki07Bhw7R7925dffXVkqTp06dr2LBhvJYKMTq4xX7JlmHDhumTTz5R48aNi53uhMX30Dh88eHWrVvrkUceUdeuXYu9EZicnOxqNHgUp50BgDCyfPlytWrVSvPnzz/q7R07dgzxRJHt4osv1uDBg5WSkhI84lc6dBElhA4d7KCFN3CKAUSSzp0769133w1exNDv9+vSSy/Ve++953iyyEIH4GcXXXSRZs+ezfVYHOnQocMxb/P5fMf8XRs4Fo58B4AwMmvWLLVq1Uovv/xyidt8Ph+L7yGWmJiozp07ux4j4tHBDloAP0tPT9cVV1yhyy67TBUrVnQ9TsSqVKmSDhw4ELxIfX5+PqcZcIAONrBfsqFatWqccsmhBQsWSJLmz5+vli1bBp8Le/fu5dOaOCEc+Q4AwEkyfvx4Va9eXV26dOEFtEN0sIMW3nDkhfdw8ixfvlzTp0/XwoULlZqaqh49eqhNmzbBI38RGvfdd5++/vrr4BuD77//vpo2bapGjRpJ4mL1oUIHG9gv2fDoo49q8+bNuuSSS4od/c6BVKHVrVs3vf3228HvA4GAunfvzqcD8Zux+A4AYWrHjh3avHlzsYv0nHvuuQ4nijzz5s3T3XffrQMHDkg69ILN5/NpzZo1jieLLHSwgxbeMGzYMD344IOux4gYubm5eu+99zRjxgxt2rRJixYtcj1SRBk6dOhxb+ec46FBB1vYL7nVp0+fEtt8Pp8mTZrkYJrI9b+L75J0+eWXa9asWY4mgldx2hkACEPPPvusJk6cqLp16xa7SM9bb73leLLIMnLkSP3rX/9S06ZNgx0QenSwgxY2TJ06VZdeeqnKly+vBx98UCtXrtTQoUODb9Cy8B5aubm5ysrK0q5du1S+fHnX40QcFnVtoIMt7Jfcmjx5susRIKlcuXL68ssv1aJFC0nSF198oXLlyjmeCl7E4jsAhKFp06bpww8/5FyZjlWtWlWpqamux4h4dLCDFjZMmTJFvXr10hdffKHvv/9egwcP1qOPPsobtCH2wQcfaPr06Vq5cqU6d+6sUaNGKSUlxfVYEWXt2rWSpOTkZG3YsEGLFi1So0aN2E+FGB3sYL9kQ2FhoSZNmqSMjAwNHz5cGRkZ2rJlC8+JELv77rt1yy236PTTT5ckbdiwQc8884zjqeBFLL4DQBhKSkpi4d2ADh066NVXXy1xvsbExESHU0UeOthBCxtiYg79CvDpp5+qW7du+tOf/qR//vOfjqeKPFOnTlX37t311FNPFXs+IDQmT56sF198UYWFhRowYIDefvttpaSk6PXXX1f//v3Vq1cv1yNGBDrYwn7JhoceekhFRUX64osvJB26IPHtt9+u6dOnO54sspx99tmaO3euvvq/9u4/tqr7vv/46/hSkLlgg2Gp6mCaMSm2ReICMXcYMRHALG7AxdeMzZFbRBymSRmsyQI0oCFT6pSlqfrDsUsbhOuZoNDW9rVxcAzICZ2qQIxsYEHBVZTWwI0Bjzh4/EpufH2/f7DcxQX21cD3fj7c83xISOfHPy/5JQ74fT/3c44fj56npKSYDYV7Enu+A0AC+Xzl0IEDB3T58mUVFhYOe6lhVlaWqWiu9MWft+M47G9tCD3Ygy7sUFxcrNWrV+tnP/uZfvGLX+j+++/X0qVL9frrr5uO5lqBQEB+v990DFcpLCzUnj17dPXqVeXn56utrU3p6enq7+9XWVkZLx2OE3qwF88lcz7fa/yLL0Bnr3Hg3sXKdwBIIE8//fSw8/b29uix4zjDzhF7n38YcjuhUGjYhyOIDXqwB13Yoby8XL/4xS+0YsUK3X///frjH/+oOXPmmI7lanV1dQy54szj8cjr9crr9Wrq1KlKT0+XJKWlpclxHMPp3IMe7MVzyZw//dZBOBwW62aBexfDdwBIIG+++aakG0P33NxcpaamSpIGBgbU1dVlMhpu4e/+7u8UCARMx3A9erAHXcTH1772Nf3sZz+Lnv/5n/+5/uVf/iV6/tJLL2n9+vUmorkWQ5X4C4fD0eO1a9cOuxcKheIdx7XowV48l8zJzMxUc3OzhoaGdPr0ae3YsUM+n890LAB3KMl0AADAyKusrIwO3iUpJSVFlZWVBhPhVvilxg70YA+6sMPbb79tOoLrrFq1ynQE1ykpKdGVK1ckSY899lj0+gcffKBHHnnEVCzXoQd78Vwy5/nnn1dnZ6cuXryokpISJSUlad26daZjAbhDrHwHABdwHGfYyiLYga9T24Ee7EEXduBDkPjp7e3V0aNHlZSUpN7e3uiWG4i90tLSW17/i7/4C23dujXOadyLHuzDc8k8r9errVu38ncASBCsfAeABOT1eodtM9PZ2Smv12swEQDgXsGHIPHR0tIiv9+vgwcPav/+/SouLta+fftMx3Idv9+v3bt3a2BgwHQUV6MHO/Bcss+fbscE4N7DyncASEDr16/XmjVrNG3aNElST0+PqqurDafCn2J1qR3owR50ATeprq5WfX29MjIyJEnBYFCrV6/WkiVLDCdzl40bN6qxsVGVlZXKy8vT8uXLNW/ePD6EijN6sAPPJfsEg0HTEQDcJYbvAJCAZs6cqdbWVh0/fjx6npKSYjYUbvK1r33NdASIHmxCF3bgQ5D4SE5Ojg64JGnKlClKTk42mMidfD6ffD6frl27pra2Nr3yyivavHmzDh06ZDqaq9CDHXgu2Yd/k4F7H9vOAECCSk1N1fz58zV//nwG74bs2bNHly9fliR997vfVXFxsY4ePRq9/93vftdUNFehB3vQhV36+/t1+PBh9fX1DbteU1NjKJG7zJ8/Xy+//LLOnz+vc+fOqaqqSgsWLNCVK1eiL6BE/Fy7dk39/f366KOPNH78eNNxXIsezOK5ZJ9du3aZjgDgLjkRPkYDACAmCgsL1dLSos7OTv34xz/WP/zDP+inP/2p6uvrTUdzFXqwB12YtWHDBn3nO9/RpEmTdPjwYT377LOaMmWKPvzwQ33ve99Tfn6+6YiukpWVddt7juPo1KlTcUzjXgcOHFBjY6NOnDihgoIC+f1+5eTkmI7lOvRgB55Ldjl37pxOnjypBx98UF/96ldNxwFwh9h2BgCAGBk16sY/s0eOHNGyZcv0V3/1V/rRj35kOJX70IM96MKs7u5uTZo0SdKNfX1/+ctfKjs7W2fPntXatWsZvsdZd3e36QjQjW/kFBcX66c//anGjBljOo5r0YMdeC6ZtX79er300kuSpHfeeUfPPvussrOz9fvf/17l5eVavHix4YQA7gTbzgAAECOO46i1tVVvvPGG5s6dK0n67LPPDKdyH3qwB12Y9emnn0aPr1+/ruzsbElSRkaGwuGwqViuFA6H9fjjj5uOAd3YZmnp0qUaM2aMAoGA6TiuRQ/m8Vwy7/33348eb9++XVVVVdq5c6deffVV/fznPzeYDMDdYPgOAECMlJeX6/XXX9eKFSt0//33649//KPmzJljOpbr0IM96MKsefPmqaKiQlevXtXcuXO1d+9eRSIR/fa3v9XEiRNNx3MVj8ejtLQ0Xb9+3XQUfEFdXZ3pCBA9mMJzyTzHcaLHly5d0qxZsyRJDzzwAB+SA/cw9nwHAMCQl156SevXrzcdw/XowR50EVuhUEg//OEP1dDQoNTUVPX29srj8WjOnDnasmWLMjIyTEd0lU2bNum9995TQUGBxo4dG72+cuVKg6ncraioSE1NTaZjuB49mMNzyay8vDx94xvfUCQS0f79+/Xmm2/K4/FI+p/35gC497DnOwAAhrz99tumI0D0YBO6iK3Ro0dr06ZNevbZZ3XmzBmFw2F95StfYdW7IZFIRNnZ2Tp9+rTpKPhvq1atMh0BogeTeC6ZVVpaGj1esWKFLl26pEmTJunChQuaPn26wWQA7gYr3wEAMISVXXagB3vQRfwFAgH5/X7TMQCjent7dfToUTmOo9zcXKWnp5uO5Er0AABIRKx8BwDAkC/u6whz6MEedBF/dXV1DN/jrKOjQz6fT+3t7be8v2jRojgncreWlhZVVFRo9uzZikQi+v73v6/NmzdryZIlpqO5Cj2YxXPJLqFQSLW1tXr77bflOI7y8vK0atUqjR492nQ0AHeA4TsAAADgUnwJNv727t0rn8+n2tram+45jsOQK86qq6tVX18ffedBMBjU6tWrGfrGGT2YxXPJLuXl5fr444/1zW9+U5LU2Nio8vJybdu2zXAyAHeC4TsAAIYw9LIDPdiDLuKPvZXjr6KiQpK0a9cuw0kgScnJycNeNjxlyhQlJycbTORO9GAWzyW7HDt2TG+88Ub0G4ELFizggyjgHpZkOgAAAImuv79fhw8fVl9f37DrNTU1hhK5Ez3Ygy7M2rJlS/S4qKjopmuIn76+PnV1deno0aPRP4iv+fPn6+WXX9b58+d17tw5VVVVacGCBbpy5YquXLliOp5r0IM9eC6ZN2HCBH3yySfR81AoxMvRgXsYL1wFAGCEbdiwQd/5znc0adIkHT58WM8++6ymTJmiDz/8UN/73veUn59vOqIr0IM96MIufr9fgUBg2LVly5apubnZUCJ32r59u3bu3KmMjAwlJd1YE+U4jurr6w0nc5esrKzb3nMcR6dOnYpjGveiBzvwXLLDpk2b9O6776qgoECStH//fj388MPKzMyUJK1cudJkPAD/R2w7AwDACOvu7takSZMk3djD9Je//KWys7N19uxZrV27lkFjnNCDPejCDq2trdq3b5+CwaDWrFkTvX758mWNHTvWYDJ3amho0MGDB1nNaFh3d7fpCBA92ILnkh0ikYgeeughBYNBSdL06dM1NDTEh1DAPYrhOwAAI+zTTz+NHl+/fl3Z2dmSpIyMDIXDYVOxXIce7EEXdpg2bZoWLVqk9957b9jL88aNG6e8vDyDydxp8uTJDLgMC4fDKiwsVGtrq+korkYP9uC5ZAderAokFvZ8BwBghM2bN08VFRW6evWq5s6dq7179yoSiei3v/0tv9DEET3Ygy7skJWVpeLiYjU0NMjv98vv92vhwoVavHixxo0bZzqea3R3d6u7u1tz587VCy+8oP/4j/+IXmP1b3x5PB6lpaXp+vXrpqO4Gj2Yx3PJHl/8mff09Ki2tlaHDx82nArA3WDPdwAARlgoFNIPf/hDNTQ0KDU1Vb29vfJ4PJozZ462bNmijIwM0xFdgR7sQRf2utX+74ithQsX3vae4zhqb2+PYxps2rRJ7733ngoKCoZtv8SeyvFFD2bxXLLDrl27VFNTo8HBQT311FNqbm5WTk6Ojhw5oieffFIlJSWmIwK4AwzfAQCIkevXr+vMmTMKh8P6yle+wgpfQ+jBHnRhn6KiIjU1NZmO4Urt7e3Kzc1VamqqJGlgYEBdXV1asGCB4WTusnHjxlteZ9uH+KIHO/BcMquwsFB79uzR1atXlZ+fr7a2NqWnp6u/v19lZWX8ew3co9jzHQCAGElOTlZmZqYkKRAIyO/3G07kTvRgD7qwz9SpU01HcK3Kyko1NzdHz1NSUlRZWcmQK84Y7tqBHuzAc8ksj8cjr9crr9erqVOnKj09XZKUlpYmx3EMpwNwpxi+AwAQB3V1dQwaLUAP9qAL80KhkCorK03HwH9zHIcXEMdRR0eHfD7fbbfT+OJLiRE79GA3nkvx9cWf9dq1a4fdC4VC8Y4DYIQwfAcAIA7Y5c0O9GAPujCnu7tb69at03/913/p3//933Xy5Em1trZqw4YNpqO5itfrVVdXl2bNmiVJ6uzslNfrNZzKPfbu3Sufz6fa2tqb7jmOw9A3TujBLjyXzCopKdGVK1c0btw4PfbYY9HrH3zwgR555BGDyQDcDfZ8BwAgDpqamlRUVGQ6huvRgz3owpxvfetb+va3v62Kigo1NTUpEolo6dKl2utbv4EAABkKSURBVLdvn+lornLs2DGtWbNG06ZNkyT19PSourpaOTk5hpMBcCueSwAw8pJMBwAAIFFt2bIlevz5kPGL1xAf9GAPurDD1atXlZubGz13HEdf+tKXDCZyp5kzZ6q1tVWrV6/W6tWrtW/fPgZchvT19amrq0tHjx6N/kH80YN5PJfs4Pf7tXv3bg0MDJiOAmAEsO0MAAAxcuLEiZuuHTt2zEASd6MHe9CFHUaNGqXPPvss+vK2c+fOKSmJNTkmpKamav78+aZjuNr27du1c+dOZWRkRP8eOI6j+vp6w8nchR7swXPJvI0bN6qxsVGVlZXKy8vT8uXLNW/ePF66Ctyj2HYGAIAR1traqn379qmjo0N/+Zd/Gb1++fJlhUIhvfbaawbTuQc92IMu7NLc3Kx9+/bp97//vYqKitTS0qJ169bp8ccfNx0NiLv8/Hz95je/0cSJE01HcTV6AG527do1tbW1KRAI6OzZszp06JDpSADuACvfAQAYYdOmTdOiRYv03nvvDXtR2Lhx45SXl2cwmbvQgz3owi7Lli1TRkaG2tvb9dlnn+kHP/jBsG1oADeZPHkyA18L0ANws2vXrqm/v18fffSRxo8fbzoOgDvEyncAAGKkv79faWlpkqSBgQGlpqYaTuRO9GAPugBgi+7ubknSgQMHdPnyZRUWFmr06NHR+1lZWaaiuQo9ADc7cOCAGhsbdeLECRUUFMjv97P3PnAPY/gOAEAc+P1+BQIB0zFcjx7sQRfmBINB7dixQ2fPntXg4GD0el1dncFUQHwtXLjwtvccx1F7e3sc07gXPQA3KysrU3FxsRYvXqwxY8aYjgPgLrHtDAAAccBn3XagB3vQhTnPPPOM8vLyVFpaKo/HYzoOYMSbb74pSWpvb1dubm70mzgDAwPq6uoyGc1V6AG4WU1NTfQ4EAjI7/cbTAPgbiWZDgAAgBtMnTrVdASIHmxCF+Z8+umneu6557Ro0SI9+uij0T+AG1VWVg7bAislJUWVlZUGE7kTPQC3xrfSgHsfw3cAAGIsFArxC6QF6MEedGHWgw8+qN7eXtMxACs5jqNwOGw6huvRA3AD3xQE7n0M3wEAiJHu7m4tXbpU+fn5kqSTJ0/qBz/4geFU7kMP9qALO/T392vZsmX6+7//e61Zsyb6B3Ajr9c7bHuTzs5Oeb1eg4nciR6AW1u1apXpCADuEi9cBQAgRr71rW/p29/+tioqKtTU1KRIJKKlS5dq3759pqO5Cj3Ygy7scLsX3bKnLNzo2LFjWrNmjaZNmyZJ6unpUXV1tXJycgwncxd6AIbr7e3V0aNH5TiOcnNzlZ6ebjoSgDvEC1cBAIiRq1evKjc3N3ruOI6+9KUvGUzkTvRgD7qwA0N24H/MnDlTra2tOn78ePQ8JSXFbCgXogfgf7S0tKiiokKzZ89WJBLR97//fW3evFlLliwxHQ3AHWD4DgBAjIwaNUqfffaZHMeRJJ07d05JSez4Fm/0YA+6MKumpkZlZWXatm3bLe9v3LgxzokAO6Smpmr+/PmmY7gePQA3VFdXq76+XhkZGZKkYDCo1atXM3wH7lEM3wEAiJHS0lL94z/+o/r7+/XjH/9YLS0tWrdunelYrkMP9qALs8aOHStJGj9+vOEkAADgdpKTk6ODd0maMmWKkpOTDSYCcDfY8x0AgBjq6upSe3u7IpGIFi5cOGzLDcQPPdiDLgAAAG7vJz/5iTwej1asWKFIJKKGhgYNDQ2prKxMkjRu3DjDCQH8XzB8BwAAAFykqqrqpmspKSmaMWMGLzcEAMCwrKys295zHEenTp2KYxoAd4vhOwAAMRIMBrVjxw6dPXtWg4OD0et1dXUGU7kPPdiDLuzwz//8z+ro6NCjjz4qx3H01ltvacaMGXr//fdVWlqqlStXmo4IAAAAJAT2fAcAIEaeeeYZ5eXlqbS0VB6Px3Qc16IHe9CFHQYGBtTU1KTJkydLki5evKgNGzboV7/6FcN3AAAMCofDKiwsVGtrq+koAEYIw3cAAGLk008/1XPPPWc6huvRgz3owg4XLlyIDt4lafLkyerr69OECRM0ahS/HgAAYIrH41FaWpquX7/OS1aBBMH/rgEAiJEHH3xQvb29Sk9PNx3F1ejBHnRhhy9/+cuqqqrS8uXLJUkNDQ267777FA6H5TiO4XQAALjb1KlT9cQTT6igoEBjx46NXuebacC9ieE7AAAx0t/fr2XLlmnGjBkaM2ZM9PqtXnaI2KEHe9CFHf71X/9VFRUVKioqkiTNmTNH27Zt0+DgoF588UWz4QAAcLlIJKLs7GydPn3adBQAI4AXrgIAECOBQOCW1/1+f5yTuBs92IMuAAAAALgJw3cAAADAZU6cOKEzZ84oHA5Hr32+Eh4AAMRfR0eHfD6f2tvbb3l/0aJFcU4EYCSw7QwAACOspqZGZWVl2rZt2y3vb9y4Mc6J3Ike7EEXdikvL9fvfvc7ZWdnKykpSZLkOA7DdwAADNq7d698Pp9qa2tvuuc4DsN34B7F8B0AgBH2+YuRxo8fbziJu9GDPejCLocPH1Zra+uwffcBAIBZFRUVkqRdu3YZTgJgJLHtDAAAAOAipaWlevXVV+U4jukoAADgFvr6+hQMBodtDzd79myDiQDcKYbvAADESFVV1U3XUlJSNGPGDOXk5BhI5E70YA+6sMOLL76oYDCor3/968NWv/N1dgAAzNu+fbt27typjIyMYdvD1dfXG04G4E6w7QwAADHyhz/8QR0dHXr00UflOI7eeustzZgxQ7t371ZpaalWrlxpOqIr0IM96MIOJ0+elCS99tpr0WvsJQsAgB0aGhp08OBBTZw40XQUACOA4TsAADEyMDCgpqYmTZ48WZJ08eJFbdiwQb/61a8YNMYRPdiDLuzAXrIAANhr8uTJDN6BBMLwHQCAGLlw4UJ0yCjd+I90X1+fJkyYoFGj+Cc4XujBHnRhh8HBQdXV1enMmTPasmWLzpw5ow8//FB5eXmmowEA4Frd3d2SpLlz5+qFF15QYWGhRo8eHb2flZVlKhqAu8BvOQAAxMiXv/xlVVVVafny5ZJufIX0vvvuUzgc5kWHcUQP9qALO2zdulVDQ0Pq7OyUJE2YMEHPPPOMGhsbDScDAMC9nn766WHn7e3t0WPHcYadA7h38MJVAABi5D//8z9VUVGhI0eOSJLmzJmjTZs2acKECerp6VFmZqbhhO5AD/agCzssW7ZMzc3NKioqUlNTkyTpG9/4hvbu3Ws2GAAAUHt7u3Jzc5WamirpxrZ9XV1dWrBggeFkAO4Ew3cAAADARf72b/9Wv/71r6PD93A4rKKiIrW0tJiOBgCA633+IfnnIpGIiouLFQgEDKYCcKfYdgYAgBg6ceKEzpw5o3A4HL1WVFRkLpBL0YM96MK8zMxMNTc3a2hoSKdPn9aOHTvk8/lMxwIAALfgOM6w/zcBuLcwfAcAIEbKy8v1u9/9TtnZ2UpKSpJ04z/PDBrjix7sQRd2eP755/Xiiy/q4sWLKikp0eLFi7Vu3TrTsQAAgCSv16uuri7NmjVLktTZ2Smv12s4FYA7xbYzAADEyF//9V+rpaVFY8aMMR3F1ejBHnQBAADwvzt27JjWrFmjadOmSZJ6enpUXV2tnJwcw8kA3AlWvgMAECN/9md/ptGjR5uO4Xr0YA+6sM/atWv18ssvm44BAAD+28yZM9Xa2qrjx49Hz1NSUsyGAnDHGL4DABAjOTk5+qd/+id9/etfH7bSd9GiRQZTuQ892IMu7BMMBk1HAAAAfyI1NVXz5883HQPACGD4DgBAjJw8eVKS9Nprr0WvOY7DoDHO6MEedGEfdqAEAAAAYoc93wEAAACXunz5ssaPH286BgAAAJCQkkwHAAAgUQ0ODqqmpkZbtmyRJJ05c0aHDx82G8qF6MEedGGXc+fO6ciRIzp9+rTpKAAAAEBCYvgOAECMbN26VX/4wx/0zjvvSJImTJigl156yXAq96EHe9CFWevXr48ev/POO1q+fLn27Nmj0tJSHTx40GAyAAAAIDExfAcAIEZOnDihioqK6IslU1JSNDg4aDiV+9CDPejCrPfffz96vH37dlVVVWnnzp169dVX9fOf/9xgMgAAACAxMXwHACBGPh8wfi4cDvNyQwPowR50YZbjONHjS5cuadasWZKkBx54QOFw2FQsAAAAIGGNMh0AAIBElZmZqebmZg0NDen06dPasWOHfD6f6ViuQw/2oAuzzp8/r23btikSiejjjz9WOByWx+ORJIbvAAAAQAyw8h0AgBh5/vnn1dnZqYsXL6qkpERJSUlat26d6ViuQw/2oAuzSktLNX78eKWkpGjFihW6dOmSJOnChQuaPn262XAAAABAAnIifNcXAAAAAAAAAIARxcp3AADiYO3ataYjQPRgE7owJxQK6ZVXXtGqVav05JNP6pVXXlEoFDIdCwAAAEg4DN8BAIiDYDBoOgJEDzahC3PKy8vV1dWlb37zmyotLdXx48dVXl5uOhYAAACQcHjhKgAAccAub3agB3vQhTnHjh3TG2+8IcdxJEkLFizQkiVLDKcCAAAAEg8r3wEAiINdu3aZjgDRg03owpwJEybok08+iZ6HQiFNnDjRYCIAAAAgMfHCVQAAYuzcuXM6efKkHnzwQX31q181Hce16MEedGHWpk2b9O6776qgoECStH//fj388MPKzMyUJK1cudJkPAAAACBhsPIdAIARtn79+ujxO++8o+XLl2vPnj0qLS3VwYMHDSZzF3qwB13YJRKJ6KGHHlIwGFQwGNT06dM1NDSkU6dO6dSpU6bjAQAAAAmDPd8BABhh77//fvR4+/btqqqq0qxZs9TT06PnnntOixcvNpjOPejBHnRhl23btpmOAAAAALgCK98BABhhn7/EUJIuXbqkWbNmSZIeeOABhcNhU7Fchx7sQRf26O7uVnd3tySpp6dHtbW1Onz4sOFUAAAAQGJi5TsAACPs/Pnz2rZtmyKRiD7++GOFw2F5PB5JYtAYR/RgD7qww65du1RTU6P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"text/plain": [ "
" ] }, "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": "2024-11-12T10:25:10.460026Z", "iopub.status.busy": "2024-11-12T10:25:10.459886Z", "iopub.status.idle": "2024-11-12T10:25:23.420128Z", "shell.execute_reply": "2024-11-12T10:25:23.419457Z", "shell.execute_reply.started": "2024-11-12T10:25:10.460012Z" } }, "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": "2024-11-12T10:25:23.420962Z", "iopub.status.busy": "2024-11-12T10:25:23.420827Z", "iopub.status.idle": "2024-11-12T10:25:35.629281Z", "shell.execute_reply": "2024-11-12T10:25:35.628598Z", "shell.execute_reply.started": "2024-11-12T10:25:23.420949Z" } }, "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": "2024-11-12T10:25:35.630237Z", "iopub.status.busy": "2024-11-12T10:25:35.629977Z", "iopub.status.idle": "2024-11-12T10:25:35.667782Z", "shell.execute_reply": "2024-11-12T10:25:35.667116Z", "shell.execute_reply.started": "2024-11-12T10:25:35.630222Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Positive proportion of data meeting criteria: 42.95%\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": "2024-11-12T10:25:35.668878Z", "iopub.status.busy": "2024-11-12T10:25:35.668415Z", "iopub.status.idle": "2024-11-12T10:26:03.881260Z", "shell.execute_reply": "2024-11-12T10:26:03.880576Z", "shell.execute_reply.started": "2024-11-12T10:25:35.668862Z" } }, "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-8 832,478 65.16%\n", "chirp-v3p5-engine-t-6 276,138 21.61%\n", "chirp-v3p5-engine-upload-4 66,078 5.17%\n", "chirp-v3p5-engine-s-31 60,820 4.76%\n", "chirp-v3p5-h-s-31 5,298 0.41%\n", "chirp-v3p5-engine-s-8-copy 5,247 0.41%\n", "chirp-v3p5-engine-s-8-cfg-ramp 5,078 0.40%\n", "chirp-v3p5-engine-b 4,748 0.37%\n", "chirp-v3p5-engine-s-8-cfg-refactor2 4,373 0.34%\n", "chirp-v3p5-engine-s-8-cfg-refactor 3,485 0.27%\n", "chirp-v3p5-engine-copy 3,156 0.25%\n", "chirp-v3p5-engine-short 2,139 0.17%\n", "chirp-v3p5-engine-t-5 1,726 0.14%\n", "chirp-v3p5-engine-ft-1 1,671 0.13%\n", "chirp-v3p5-engine-t-6-1 1,517 0.12%\n", "chirp-v3p5-engine-t-6-2 1,416 0.11%\n", "chirp-v3p5-engine-t-6-1-b20 1,257 0.10%\n", "chirp-v4-h-s-31 369 0.03%\n", "chirp-v3p5-h-t-6 198 0.02%\n", "chirp-v3p5-engine-s-29-6 146 0.01%\n", "chirp-v4-up-u-0 122 0.01%\n", "chirp-v3p5-engine-cfg-refactor 77 0.01%\n", "chirp-v4-h-t-6 77 0.01%\n", "chirp-v4-up-u-1 52 0.00%\n", "chirp-v4 1 0.00%\n", "----------------------------------------------------------------------\n", "Total 1,277,667 100.00%\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": "2024-11-12T10:26:03.882205Z", "iopub.status.busy": "2024-11-12T10:26:03.881938Z", "iopub.status.idle": "2024-11-12T10:26:16.416175Z", "shell.execute_reply": "2024-11-12T10:26:16.415478Z", "shell.execute_reply.started": "2024-11-12T10:26:03.882189Z" } }, "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": "2024-11-12T10:26:16.420950Z", "iopub.status.busy": "2024-11-12T10:26:16.420635Z", "iopub.status.idle": "2024-11-12T10:26:18.482854Z", "shell.execute_reply": "2024-11-12T10:26:18.482172Z", "shell.execute_reply.started": "2024-11-12T10:26:16.420935Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of rows in final_interesting_clips for model chirp-v3p5-engine-t-6:\n", "552,297\n", "done (2555334, 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": "2024-11-12T10:26:18.483785Z", "iopub.status.busy": "2024-11-12T10:26:18.483526Z", "iopub.status.idle": "2024-11-12T10:26:19.721303Z", "shell.execute_reply": "2024-11-12T10:26:19.720725Z", "shell.execute_reply.started": "2024-11-12T10:26:18.483770Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total Unique Users:\n", "--------------------\n", "2,348,558\n", "--------------------\n", "Series([], Name: count, dtype: int64)\n", "(0, 47)\n" ] }, { "data": { "text/html": [ "
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idpasswordlast_loginis_superuserusernamefirst_namelast_nameemailis_staffis_activedate_joined
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" ], "text/plain": [ " id password last_login is_superuser username first_name last_name email is_staff is_active date_joined\n", "0 57773101 None False calvinoh5025@gmail.com calvinoh5025@gmail.com False True 2024-10-30 12:42:25.460567+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=57773101\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": "2024-11-12T10:26:19.722152Z", "iopub.status.busy": "2024-11-12T10:26:19.721910Z", "iopub.status.idle": "2024-11-12T10:30:13.232202Z", "shell.execute_reply": "2024-11-12T10:30:13.231494Z", "shell.execute_reply.started": "2024-11-12T10:26:19.722136Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Shape of no_reaction_clip_df:\n", "(11768537, 47)\n", "\n", "Proportion of clips without reactions:\n", "22.12%\n", "Ratio of clips without reactions to total clips from the same users:\n", "0.5669\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "free 115846\n", "pro 6504\n", "Ratio of clips from super bad users: 7.84%\n", "DONE\n" ] } ], "source": [ "not_known_bot_gens_mask = clip_df[\"model_name\"] != \"chirp-v3p5-engine-b\"\n", "# run_bot_detection(clip_df[not_known_bot_gens_mask], reaction_df, write_to_file=True, cut_off_freq=0.95)\n", "run_bot_detection(\n", " clip_df,\n", " reaction_df,\n", " write_to_file=True,\n", " cut_off_freq=0.95,\n", " min_generations_for_no_reaction=10,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Alpha testing user selection" ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:30:13.232993Z", "iopub.status.busy": "2024-11-12T10:30:13.232853Z", "iopub.status.idle": "2024-11-12T10:30:14.401556Z", "shell.execute_reply": "2024-11-12T10:30:14.400905Z", "shell.execute_reply.started": "2024-11-12T10:30:13.232978Z" } }, "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": "2024-11-12T10:30:14.402354Z", "iopub.status.busy": "2024-11-12T10:30:14.402219Z", "iopub.status.idle": "2024-11-12T10:30:35.377222Z", "shell.execute_reply": "2024-11-12T10:30:35.376671Z", "shell.execute_reply.started": "2024-11-12T10:30:14.402340Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(1491273, 25)\n", "1491273\n" ] } ], "source": [ "query = \"\"\"\n", "SELECT *\n", "FROM bots_userstats\n", "WHERE total_clips>=100\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": "2024-11-12T10:30:35.377964Z", "iopub.status.busy": "2024-11-12T10:30:35.377738Z", "iopub.status.idle": "2024-11-12T10:30:36.025654Z", "shell.execute_reply": "2024-11-12T10:30:36.025294Z", "shell.execute_reply.started": "2024-11-12T10:30:35.377951Z" } }, "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": "2024-11-12T10:30:36.026288Z", "iopub.status.busy": "2024-11-12T10:30:36.026169Z", "iopub.status.idle": "2024-11-12T10:30:36.053260Z", "shell.execute_reply": "2024-11-12T10:30:36.052958Z", "shell.execute_reply.started": "2024-11-12T10:30:36.026276Z" } }, "outputs": [], "source": [ "def analyze_clip_data_with_snowflake(\n", " final_interesting_clips, target_model_name, top_users, snow_session\n", "):\n", " # 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", "\n", " # Filter for pairs\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", "\n", " # Get clip IDs and query Snowflake in batches\n", " v4_clip_ids = list(str(s) for s in subset_v4_clips_df[\"id\"].unique())\n", " snow_batch_size = 100_000\n", " snow_results = []\n", "\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))\n", "\n", " # Process Snowflake results\n", " 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]}\")\n", "\n", " # Merge data and calculate normalized play fractions\n", " 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", " )\n", "\n", " # Create visualization\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[\n", " ~subset_v4_clips_df_test[\"preference\"]\n", " ][\"norm_play_frac\"]\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", " plt.tight_layout()\n", " plt.show()\n", "\n", " # Apply filters and analyze results\n", " 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", "\n", " # Calculate and print statistics\n", " frac_pass_play_duration = (\n", " play_duration_mask.sum() / subset_v4_clips_df_test.shape[0]\n", " )\n", " print(\n", " f\"Fraction of clips that pass the play duration cut: {frac_pass_play_duration:.4f}\"\n", " )\n", "\n", " unique_requests_pass_play_durations = subset_v4_clips_df_test[play_duration_mask][\n", " \"request_id\"\n", " ].unique()\n", " print(\n", " f\"Number of unique requests passing play duration criteria: {len(unique_requests_pass_play_durations)}\"\n", " )\n", "\n", " fraction_requests_pass = (\n", " len(unique_requests_pass_play_durations)\n", " / subset_v4_clips_df_test[\"request_id\"].nunique()\n", " )\n", " print(\n", " f\"Fraction of unique requests that pass play duration criteria: {fraction_requests_pass:.4f}\"\n", " )\n", "\n", " # Final filtering and analysis\n", " subset_v4_clips_df_pass_duration = subset_v4_clips_df_test[\n", " play_duration_mask\n", " ].copy()\n", " play_duration_mask_request_mask = subset_v4_clips_df_pass_duration[\n", " \"request_id\"\n", " ].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()\n", "\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", " )\n", "\n", " print(\"Start --------------------------\")\n", " print_out_value_counts_nicely(subset_v4_clips_df_test, \"task\")\n", " print(\"End --------------------------\")\n", " print_out_value_counts_nicely(final_subset_v4_clips_df, \"task\")\n", "\n", " return final_subset_v4_clips_df" ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:30:36.053712Z", "iopub.status.busy": "2024-11-12T10:30:36.053602Z", "iopub.status.idle": "2024-11-12T10:34:17.059029Z", "shell.execute_reply": "2024-11-12T10:34:17.058658Z", "shell.execute_reply.started": "2024-11-12T10:30:36.053701Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(121639, 57)\n", "(121638, 57)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 0%| | 0/2 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Fraction of clips that pass the play duration cut: 0.5850\n", "Number of unique requests passing play duration criteria: 40313\n", "Fraction of unique requests that pass play duration criteria: 0.6628\n", "Number of unique request IDs: 30,845, Total 60819\n", "Start --------------------------\n", ": 108790 (89.44%)\n", "extend: 12820 (10.54%)\n", "artist_consistency: 28 (0.02%)\n", "End --------------------------\n", ": 53132 (86.13%)\n", "extend: 8536 (13.84%)\n", "artist_consistency: 22 (0.04%)\n", "(552297, 57)\n", "(540496, 57)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 0%| | 0/6 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Fraction of clips that pass the play duration cut: 0.7937\n", "Number of unique requests passing play duration criteria: 246241\n", "Fraction of unique requests that pass play duration criteria: 0.9112\n", "Number of unique request IDs: 182,770, Total 270248\n", "Start --------------------------\n", "cover: 206304 (38.17%)\n", "artist_consistency: 192702 (35.65%)\n", ": 87648 (16.22%)\n", "infill: 41386 (7.66%)\n", "extend: 12456 (2.30%)\n", "End --------------------------\n", "artist_consistency: 143462 (39.25%)\n", "cover: 137840 (37.71%)\n", ": 40924 (11.20%)\n", "infill: 34404 (9.41%)\n", "extend: 8910 (2.44%)\n" ] } ], "source": [ "final_subset_s31_clips_df = analyze_clip_data_with_snowflake(\n", " final_interesting_clips, \"chirp-v3p5-engine-s-31\", top_users, snow_session\n", ")\n", "final_subset_t6_clips_df = analyze_clip_data_with_snowflake(\n", " final_interesting_clips, \"chirp-v3p5-engine-t-6\", top_users, snow_session\n", ")" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:34:17.059567Z", "iopub.status.busy": "2024-11-12T10:34:17.059447Z", "iopub.status.idle": "2024-11-12T10:34:18.220301Z", "shell.execute_reply": "2024-11-12T10:34:18.219943Z", "shell.execute_reply.started": "2024-11-12T10:34:17.059554Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "s-31 (61690, 68)\n", "t-6 (365540, 68)\n" ] } ], "source": [ "print(\"s-31\", final_subset_s31_clips_df.shape)\n", "print(\"t-6\", final_subset_t6_clips_df.shape)" ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:34:18.220815Z", "iopub.status.busy": "2024-11-12T10:34:18.220702Z", "iopub.status.idle": "2024-11-12T10:34:18.264240Z", "shell.execute_reply": "2024-11-12T10:34:18.263901Z", "shell.execute_reply.started": "2024-11-12T10:34:18.220803Z" } }, "outputs": [], "source": [ "# final_subset_t6_clips_df.to_pickle(\n", "# \"/home/tony/Data/Preference/30b_v6/interesting_clips_v4_t_6_20241112_aws_full.pkl\",\n", "# )\n", "# print(\"t-6\", final_subset_t6_clips_df.shape)\n", "# final_subset_s31_clips_df.to_pickle(\n", "# \"/home/tony/Data/Preference/13b_v31/interesting_clips_13b_s31_20241112_aws_full.pkl\",\n", "# )\n", "# print(\"s-31\", final_subset_s31_clips_df.shape)\n", "# print(\"Saving done!\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Task usage stats" ] }, { "cell_type": "code", "execution_count": 76, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:34:18.264884Z", "iopub.status.busy": "2024-11-12T10:34:18.264604Z", "iopub.status.idle": "2024-11-12T10:34:21.077295Z", "shell.execute_reply": "2024-11-12T10:34:21.076955Z", "shell.execute_reply.started": "2024-11-12T10:34:18.264871Z" } }, "outputs": [ { "data": { "text/plain": [ "task\n", " 42602353\n", "extend 5385913\n", "cover 2310920\n", "artist_consistency 2086359\n", "infill 710169\n", "image_to_song 78722\n", "video_to_song 22975\n", "upsample 3299\n", "upload_extend 354\n", "infill_intro 26\n", "infill_outro 12\n", "Name: count, dtype: int64" ] }, "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clip_df[\"task\"].value_counts()" ] }, { "cell_type": "code", "execution_count": 77, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:34:21.077813Z", "iopub.status.busy": "2024-11-12T10:34:21.077693Z", "iopub.status.idle": "2024-11-12T10:35:12.774975Z", "shell.execute_reply": "2024-11-12T10:35:12.774600Z", "shell.execute_reply.started": "2024-11-12T10:34:21.077801Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "cover usage: 48855 out of 156146 (0.3129) \n", " -------------->\n", "chirp-v3p5-engine-t-6: 2218707 (96.01%)\n", "chirp-v3p5-engine-b: 35636 (1.54%)\n", "chirp-v3p5-engine-t-5: 20183 (0.87%)\n", "chirp-v3p5-engine-t-6-1: 11862 (0.51%)\n", "chirp-v3p5-engine-t-6-2: 11694 (0.51%)\n", "chirp-v3p5-engine-t-6-1-b20: 11306 (0.49%)\n", "chirp-v4-h-t-6: 1530 (0.07%)\n", "chirp-v3-engine-i: 2 (0.00%)\n", "\n", " --------------------------\n", "infill usage: 16104 out of 156146 (0.1031) \n", " -------------->\n", "chirp-v3p5-engine-t-6: 681151 (95.91%)\n", "chirp-v3p5-engine-b: 9301 (1.31%)\n", "chirp-v3p5-engine-t-5: 6897 (0.97%)\n", "chirp-v3p5-engine-t-6-2: 4248 (0.60%)\n", "chirp-v3p5-engine-t-6-1: 3998 (0.56%)\n", "chirp-v3p5-engine-t-6-1-b20: 3926 (0.55%)\n", "chirp-v4-h-t-6: 686 (0.10%)\n", "\n", " --------------------------\n", "artist usage: 47661 out of 156146 (0.3052) \n", " -------------->\n", "chirp-v3p5-engine-t-6: 2006280 (96.16%)\n", "chirp-v3p5-engine-b: 25415 (1.22%)\n", "chirp-v3p5-engine-t-5: 16774 (0.80%)\n", "chirp-v3p5-engine-t-6-1: 10689 (0.51%)\n", "chirp-v3p5-engine-t-6-2: 10605 (0.51%)\n", "chirp-v3p5-engine-t-6-1-b20: 9103 (0.44%)\n", "chirp-v3p5-engine-s-8: 6373 (0.31%)\n", "chirp-v4-h-t-6: 608 (0.03%)\n", "chirp-v3p5-engine-s-31: 353 (0.02%)\n", "chirp-v3-engine-i: 76 (0.00%)\n", "chirp-v3p5-engine-ft-1: 34 (0.00%)\n", "chirp-v3p5-h-s-31: 27 (0.00%)\n", "chirp-v3p5-h-t-6: 17 (0.00%)\n", "chirp-v2-xxl-alpha: 4 (0.00%)\n", "chirp-v4-tau: 1 (0.00%)\n", "\n", " --------------------------\n", "image/video usage: 17276 out of 156146 (0.1106) \n", " -------------->\n", "chirp-v3p5-engine-short: 101697 (100.00%)\n", "\n", " --------------------------\n" ] } ], "source": [ "n_pro_created = clip_df[clip_df[\"is_pro_user\"]][\"user_id\"].nunique()\n", "task_mask_cover = clip_df[\"task\"] == \"cover\"\n", "task_mask_artist = clip_df[\"task\"] == \"artist_consistency\"\n", "task_mask_infill = (\n", " (clip_df[\"task\"] == \"infill\")\n", " | (clip_df[\"task\"] == \"infill_intro\")\n", " | (clip_df[\"task\"] == \"infill_outro\")\n", ")\n", "task_mask_image = (clip_df[\"task\"] == \"image_to_song\") | (\n", " clip_df[\"task\"] == \"video_to_song\"\n", ")\n", "\n", "\n", "def print_task_usage_stats(clip_df, task_mask, task_name, n_pro_created):\n", " n_created = clip_df[task_mask][\"user_id\"].nunique()\n", " print(\n", " f\"{task_name} usage: {n_created} out of {n_pro_created} ({round(n_created / n_pro_created, 4)})\",\n", " \"\\n\",\n", " \"-------------->\",\n", " )\n", " print_out_value_counts_nicely(clip_df[task_mask], \"model_name\")\n", " print(\"\\n\", \"--------------------------\")\n", "\n", "\n", "print_task_usage_stats(clip_df, task_mask_cover, \"cover\", n_pro_created)\n", "print_task_usage_stats(clip_df, task_mask_infill, \"infill\", n_pro_created)\n", "print_task_usage_stats(clip_df, task_mask_artist, \"artist\", n_pro_created)\n", "print_task_usage_stats(clip_df, task_mask_image, \"image/video\", n_pro_created)" ] }, { "cell_type": "code", "execution_count": 78, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:35:12.775521Z", "iopub.status.busy": "2024-11-12T10:35:12.775393Z", "iopub.status.idle": "2024-11-12T10:35:12.976518Z", "shell.execute_reply": "2024-11-12T10:35:12.976169Z", "shell.execute_reply.started": "2024-11-12T10:35:12.775508Z" } }, "outputs": [ { "data": { "text/plain": [ "user_id\n", "31244213 613\n", "42096335 579\n", "59427648 513\n", "60495357 509\n", "54441493 497\n", "Name: count, dtype: int64" ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clip_df[task_mask_image][\"user_id\"].value_counts().head(n=5)" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:35:12.977029Z", "iopub.status.busy": "2024-11-12T10:35:12.976909Z", "iopub.status.idle": "2024-11-12T10:35:15.861626Z", "shell.execute_reply": "2024-11-12T10:35:15.861282Z", "shell.execute_reply.started": "2024-11-12T10:35:12.977016Z" } }, "outputs": [ { "data": { "text/plain": [ "user_id\n", "58429657 7079\n", "7265650 4354\n", "24170094 3534\n", "39367082 3460\n", "37242843 3359\n", "Name: count, dtype: int64" ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clip_df[task_mask_cover][\"user_id\"].value_counts().head(n=5)" ] }, { "cell_type": "code", "execution_count": 80, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:35:15.862191Z", "iopub.status.busy": "2024-11-12T10:35:15.862068Z", "iopub.status.idle": "2024-11-12T10:35:15.881358Z", "shell.execute_reply": "2024-11-12T10:35:15.881053Z", "shell.execute_reply.started": "2024-11-12T10:35:15.862179Z" } }, "outputs": [], "source": [ "# v4_clip_ids = list(str(s) for s in clip_df[\"s3_id\"].unique())\n", "# snow_batch_size = 100_000\n", "# snow_results = []\n", "\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))\n", "\n", "# # Process Snowflake results\n", "# 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]}\")\n", "# df_snow_test[\"clip_id\"] = df_snow_test[\"str_id\"]\n", "# run_bot_detection(\n", "# clip_df,\n", "# df_snow_test[df_snow_test[\"total_play_time\"] >= 5],\n", "# write_to_file=True,\n", "# cut_off_freq=0.95,\n", "# min_generations_for_no_reaction=10,\n", "# )" ] }, { "cell_type": "code", "execution_count": 81, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:35:15.881814Z", "iopub.status.busy": "2024-11-12T10:35:15.881709Z", "iopub.status.idle": "2024-11-12T10:38:44.638673Z", "shell.execute_reply": "2024-11-12T10:38:44.638296Z", "shell.execute_reply.started": "2024-11-12T10:35:15.881804Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Shape of no_reaction_clip_df:\n", "(11768537, 47)\n", "\n", "Proportion of clips without reactions:\n", "22.12%\n", "Ratio of clips without reactions to total clips from the same users:\n", "0.5669\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "free 115846\n", "pro 6504\n", "Ratio of clips from super bad users: 7.84%\n", "DONE\n" ] } ], "source": [ "run_bot_detection(\n", " clip_df,\n", " reaction_df,\n", " write_to_file=True,\n", " cut_off_freq=0.95,\n", " min_generations_for_no_reaction=10,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Infill test" ] }, { "cell_type": "code", "execution_count": 82, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:38:44.639201Z", "iopub.status.busy": "2024-11-12T10:38:44.639084Z", "iopub.status.idle": "2024-11-12T10:38:45.776194Z", "shell.execute_reply": "2024-11-12T10:38:45.775793Z", "shell.execute_reply.started": "2024-11-12T10:38:44.639189Z" } }, "outputs": [], "source": [ "def get_infill_type(x):\n", " if max(x[\"infll_start_context\"], x[\"infll_end_context\"]) <= 30:\n", " return \"short\"\n", " elif max(x[\"infll_start_context\"], x[\"infll_end_context\"]) <= 60:\n", " return \"mid\"\n", " else:\n", " return \"long\"" ] }, { "cell_type": "code", "execution_count": 83, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:38:45.776712Z", "iopub.status.busy": "2024-11-12T10:38:45.776601Z", "iopub.status.idle": "2024-11-12T10:38:58.719106Z", "shell.execute_reply": "2024-11-12T10:38:58.718709Z", "shell.execute_reply.started": "2024-11-12T10:38:45.776700Z" } }, "outputs": [], "source": [ "clip_df_infill_task_mask_infill = (\n", " (clip_df[\"task\"] == \"infill\")\n", " | (clip_df[\"task\"] == \"infill_intro\")\n", " | (clip_df[\"task\"] == \"infill_outro\")\n", ") & (clip_df[\"created_at\"] >= \"2024-11-06 02:00:00\")\n", "clip_infill_df = clip_df[clip_df_infill_task_mask_infill].copy()\n", "## \n", "user_intersting_clips_3p5_task_mask_infill = (\n", " (user_intersting_clips_3p5[\"task\"] == \"infill\")\n", " | (user_intersting_clips_3p5[\"task\"] == \"infill_intro\")\n", " | (user_intersting_clips_3p5[\"task\"] == \"infill_outro\")\n", ") & (user_intersting_clips_3p5[\"created_at\"] >= \"2024-11-06 02:00:00\")\n", "user_intersting_clips_3p5_infill = user_intersting_clips_3p5[user_intersting_clips_3p5_task_mask_infill].copy()" ] }, { "cell_type": "code", "execution_count": 84, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:38:58.719670Z", "iopub.status.busy": "2024-11-12T10:38:58.719540Z", "iopub.status.idle": "2024-11-12T10:43:18.136930Z", "shell.execute_reply": "2024-11-12T10:43:18.136581Z", "shell.execute_reply.started": "2024-11-12T10:38:58.719658Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(392449, 105)\n", "infill_type\n", "mid 265529\n", "short 73744\n", "long 53176\n", "Name: count, dtype: int64\n" ] } ], "source": [ "test_slice_series = clip_infill_df[\"metadata\"].apply(pd.Series)\n", "df = pd.concat([clip_infill_df, test_slice_series], axis=1, join=\"inner\")\n", "print(df.shape)\n", "df = df.loc[:, ~df.columns.duplicated()].copy()\n", "df[\"infll_start_context\"] = df[\"infill_start_s\"] - df[\"infill_context_start_s\"] \n", "df[\"infll_end_context\"] = df[\"infill_context_end_s\"] - df[\"infill_end_s\"]\n", "df[\"infill_type\"] = df[[\"infll_start_context\", \"infll_end_context\"]].apply(lambda x: get_infill_type(x), axis=1)\n", "clip_df_model_counts = df[\"infill_type\"].value_counts()\n", "print(clip_df_model_counts)" ] }, { "cell_type": "code", "execution_count": 85, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:43:18.197311Z", "iopub.status.busy": "2024-11-12T10:43:18.197049Z", "iopub.status.idle": "2024-11-12T10:43:20.055129Z", "shell.execute_reply": "2024-11-12T10:43:20.054800Z", "shell.execute_reply.started": "2024-11-12T10:43:18.197297Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.hist(df[\"infill_context_start_s\"], bins=np.linspace(-10, 300, 100))\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 86, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:43:20.055634Z", "iopub.status.busy": "2024-11-12T10:43:20.055520Z", "iopub.status.idle": "2024-11-12T10:43:20.074227Z", "shell.execute_reply": "2024-11-12T10:43:20.073948Z", "shell.execute_reply.started": "2024-11-12T10:43:20.055622Z" } }, "outputs": [], "source": [ "# test_slice_series = user_intersting_clips_3p5_infill[\"metadata\"].apply(pd.Series)\n", "# df = pd.concat([user_intersting_clips_3p5_infill, test_slice_series], axis=1, join=\"inner\")\n", "# print(df.shape)\n", "# df = df.loc[:, ~df.columns.duplicated()].copy()\n", "# df[\"infll_start_context\"] = df[\"infill_start_s\"] - df[\"infill_context_start_s\"] \n", "# df[\"infll_end_context\"] = df[\"infill_context_end_s\"] - df[\"infill_end_s\"]\n", "# df[\"infill_type\"] = df[[\"infll_start_context\", \"infll_end_context\"]].apply(lambda x: get_infill_type(x), axis=1)" ] }, { "cell_type": "code", "execution_count": 87, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:43:20.074793Z", "iopub.status.busy": "2024-11-12T10:43:20.074541Z", "iopub.status.idle": "2024-11-12T10:43:20.115119Z", "shell.execute_reply": "2024-11-12T10:43:20.114789Z", "shell.execute_reply.started": "2024-11-12T10:43:20.074781Z" } }, "outputs": [], "source": [ "# plt.hist(df[\"infill_context_start_s\"], bins=np.linspace(-10, 300, 100))\n", "# plt.show()\n", "# plt.hist(df[\"infill_context_end_s\"], bins=np.linspace(-10, 300, 100))\n", "# plt.show()" ] }, { "cell_type": "code", "execution_count": 88, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:43:20.115609Z", "iopub.status.busy": "2024-11-12T10:43:20.115499Z", "iopub.status.idle": "2024-11-12T10:43:20.286824Z", "shell.execute_reply": "2024-11-12T10:43:20.286461Z", "shell.execute_reply.started": "2024-11-12T10:43:20.115598Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model Name Value Counts for Preferred Clips:\n", "----------------------------------------------------------------------\n", "Model Count Fraction\n", "----------------------------------------------------------------------\n", "mid 18,952 70.11%\n", "short 4,517 16.71%\n", "long 3,563 13.18%\n", "----------------------------------------------------------------------\n", "Total 27,032 100.00%\n", "\n", " Ratio of preferred clips to total clips for each model:\n", "------------------------------------------------------------\n", "mid 7.14% ± 0.05%\n", "short 6.13% ± 0.09%\n", "long 6.70% ± 0.11%\n" ] } ], "source": [ "model_counts = df[df[\"part_of_concat\"]][\n", " \"infill_type\"\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%}\")\n", "\n", "# Calculate the ratio of preferred clips to total clips for each model\n", "preference_ratio = (\n", " df[df[\"part_of_concat\"]][\"infill_type\"].value_counts()\n", " / clip_df_model_counts\n", ")\n", "\n", "\n", "# Print the results in a formatted manner\n", "print(\"\\n 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%}\")\n" ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:43:20.287322Z", "iopub.status.busy": "2024-11-12T10:43:20.287208Z", "iopub.status.idle": "2024-11-12T10:43:20.309206Z", "shell.execute_reply": "2024-11-12T10:43:20.308942Z", "shell.execute_reply.started": "2024-11-12T10:43:20.287310Z" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " id relative_index updated_at clip_id playlist_id updated_by_id\n", "0 91876782 16.0 2024-11-12 08:34:55.609271+00:00 b535fb8b-2ce1-412e-af96-3546977d75e0 9b7dc235-abc0-4c21-9c01-4ed29521df10 NaN\n", "1 89594903 3.0 2024-11-02 14:52:30.213776+00:00 696ec6e0-1795-42aa-8c54-f6aa335a38ab fe3fb182-99c4-4e7c-aae8-cd7094a99866 NaN\n", "2 89594904 1.0 2024-11-02 14:52:30.265063+00:00 6f38cc15-33e4-43ac-ad0f-258ccee3cdda b3832242-93ad-479f-853c-6cb66648290f NaN\n", "3 5588506 92.0 2024-11-02 00:43:30.465216+00:00 9f0809c1-0007-462a-b76e-c90d09a61851 a57bcadf-b521-4136-879d-7b85a51c8892 NaN\n", "4 90152033 9.0 2024-11-04 23:28:23.534127+00:00 0d43e813-d55a-4dac-a1e4-724c4bc78a2c c15b6cb6-3c61-4910-91ae-7c1567e098b5 NaN" ] }, "execution_count": 89, "metadata": {}, "output_type": "execute_result" } ], "source": [ "playlist_clip_df.head()" ] }, { "cell_type": "code", "execution_count": 90, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:43:20.309625Z", "iopub.status.busy": "2024-11-12T10:43:20.309521Z", "iopub.status.idle": "2024-11-12T10:43:21.878255Z", "shell.execute_reply": "2024-11-12T10:43:21.877823Z", "shell.execute_reply.started": "2024-11-12T10:43:20.309614Z" } }, "outputs": [], "source": [ "from snowflake.snowpark.functions import col as snow_col\n", "playlist_df = (\n", " snow_session.table(\"rds_playlist\")\n", " .select(\"*\")\n", " .filter((snow_col(\"updated_at\") >= cutoff_date))\n", " .collect_nowait()\n", " .result(result_type=\"pandas\")\n", " .rename(columns=lambda x: x.lower())\n", ")" ] }, { "cell_type": "code", "execution_count": 91, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:43:21.878827Z", "iopub.status.busy": "2024-11-12T10:43:21.878700Z", "iopub.status.idle": "2024-11-12T10:43:21.928272Z", "shell.execute_reply": "2024-11-12T10:43:21.927964Z", "shell.execute_reply.started": "2024-11-12T10:43:21.878815Z" } }, "outputs": [ { "data": { "text/plain": [ "0.5673655024527464" ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ "playlist_df[\"user_id\"].nunique() / playlist_df.shape[0]" ] }, { "cell_type": "code", "execution_count": 92, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:43:21.928937Z", "iopub.status.busy": "2024-11-12T10:43:21.928644Z", "iopub.status.idle": "2024-11-12T10:43:22.083871Z", "shell.execute_reply": "2024-11-12T10:43:22.083431Z", "shell.execute_reply.started": "2024-11-12T10:43:21.928924Z" } }, "outputs": [], "source": [ "playlist_id_to_user_id = playlist_df.set_index('id')['user_id'].to_dict()" ] }, { "cell_type": "code", "execution_count": 93, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:43:22.084443Z", "iopub.status.busy": "2024-11-12T10:43:22.084315Z", "iopub.status.idle": "2024-11-12T10:43:22.387665Z", "shell.execute_reply": "2024-11-12T10:43:22.387258Z", "shell.execute_reply.started": "2024-11-12T10:43:22.084431Z" } }, "outputs": [], "source": [ "playlist_clip_df[\"user_id\"] = playlist_clip_df[\"playlist_id\"].apply(lambda x: playlist_id_to_user_id.get(x))" ] }, { "cell_type": "code", "execution_count": 94, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:43:22.388178Z", "iopub.status.busy": "2024-11-12T10:43:22.388065Z", "iopub.status.idle": "2024-11-12T10:43:22.496964Z", "shell.execute_reply": "2024-11-12T10:43:22.496617Z", "shell.execute_reply.started": "2024-11-12T10:43:22.388166Z" } }, "outputs": [ { "data": { "text/html": [ "
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idrelative_indexupdated_atclip_idplaylist_idupdated_by_iduser_id
09187678216.02024-11-12 08:34:55.609271+00:00b535fb8b-2ce1-412e-af96-3546977d75e09b7dc235-abc0-4c21-9c01-4ed29521df10NaNNone
1895949033.02024-11-02 14:52:30.213776+00:00696ec6e0-1795-42aa-8c54-f6aa335a38abfe3fb182-99c4-4e7c-aae8-cd7094a99866NaNNone
2895949041.02024-11-02 14:52:30.265063+00:006f38cc15-33e4-43ac-ad0f-258ccee3cddab3832242-93ad-479f-853c-6cb66648290fNaNNone
3558850692.02024-11-02 00:43:30.465216+00:009f0809c1-0007-462a-b76e-c90d09a61851a57bcadf-b521-4136-879d-7b85a51c8892NaNNone
4901520339.02024-11-04 23:28:23.534127+00:000d43e813-d55a-4dac-a1e4-724c4bc78a2cc15b6cb6-3c61-4910-91ae-7c1567e098b5NaNNone
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10834395967362821.02024-11-12 08:09:38.693562+00:00b0bd8aab-db68-468a-9f72-7de962a0479b3f3209af-9a82-47db-b257-aaae6c805d8bNaNNone
10834407582440023.02024-11-12 08:09:38.711042+00:004fb70bfa-c7c2-4daa-8317-8ea86135898f3f3209af-9a82-47db-b257-aaae6c805d8bNaNNone
10834417629933026.02024-11-12 08:09:38.726466+00:00f9571f28-668e-47e0-aba5-9f896a4bf8453f3209af-9a82-47db-b257-aaae6c805d8bNaNNone
10834429185925914.02024-11-12 06:37:35.727679+00:00e8dd4aef-ca09-4756-8a97-5470257561367271a402-7b4e-4dbb-b602-b9c4f39bf0ceNaNNone
10834439185929611.02024-11-12 06:40:11.678541+00:002bb47d91-ecaa-4588-9f02-bed4acd9a827b0e0be21-1900-4f8c-b0e8-6ba7f05577c8NaNNone
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idrelative_indexupdated_atclip_idplaylist_idupdated_by_iduser_idclip_user_id
09187678216.02024-11-12 08:34:55.609271+00:00b535fb8b-2ce1-412e-af96-3546977d75e09b7dc235-abc0-4c21-9c01-4ed29521df10NaNNoneNone
1895949033.02024-11-02 14:52:30.213776+00:00696ec6e0-1795-42aa-8c54-f6aa335a38abfe3fb182-99c4-4e7c-aae8-cd7094a99866NaNNoneNone
2895949041.02024-11-02 14:52:30.265063+00:006f38cc15-33e4-43ac-ad0f-258ccee3cddab3832242-93ad-479f-853c-6cb66648290fNaNNoneNone
3558850692.02024-11-02 00:43:30.465216+00:009f0809c1-0007-462a-b76e-c90d09a61851a57bcadf-b521-4136-879d-7b85a51c8892NaNNoneNone
4901520339.02024-11-04 23:28:23.534127+00:000d43e813-d55a-4dac-a1e4-724c4bc78a2cc15b6cb6-3c61-4910-91ae-7c1567e098b5NaNNoneNone
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10834395967362821.02024-11-12 08:09:38.693562+00:00b0bd8aab-db68-468a-9f72-7de962a0479b3f3209af-9a82-47db-b257-aaae6c805d8bNaNNoneNone
10834407582440023.02024-11-12 08:09:38.711042+00:004fb70bfa-c7c2-4daa-8317-8ea86135898f3f3209af-9a82-47db-b257-aaae6c805d8bNaNNoneNone
10834417629933026.02024-11-12 08:09:38.726466+00:00f9571f28-668e-47e0-aba5-9f896a4bf8453f3209af-9a82-47db-b257-aaae6c805d8bNaNNoneNone
10834429185925914.02024-11-12 06:37:35.727679+00:00e8dd4aef-ca09-4756-8a97-5470257561367271a402-7b4e-4dbb-b602-b9c4f39bf0ceNaNNoneNone
10834439185929611.02024-11-12 06:40:11.678541+00:002bb47d91-ecaa-4588-9f02-bed4acd9a827b0e0be21-1900-4f8c-b0e8-6ba7f05577c8NaNNoneNone
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1083444 rows × 8 columns

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" ], "text/plain": [ " id relative_index updated_at clip_id playlist_id updated_by_id user_id clip_user_id\n", "0 91876782 16.0 2024-11-12 08:34:55.609271+00:00 b535fb8b-2ce1-412e-af96-3546977d75e0 9b7dc235-abc0-4c21-9c01-4ed29521df10 NaN None None\n", "1 89594903 3.0 2024-11-02 14:52:30.213776+00:00 696ec6e0-1795-42aa-8c54-f6aa335a38ab fe3fb182-99c4-4e7c-aae8-cd7094a99866 NaN None None\n", "2 89594904 1.0 2024-11-02 14:52:30.265063+00:00 6f38cc15-33e4-43ac-ad0f-258ccee3cdda b3832242-93ad-479f-853c-6cb66648290f NaN None None\n", "3 5588506 92.0 2024-11-02 00:43:30.465216+00:00 9f0809c1-0007-462a-b76e-c90d09a61851 a57bcadf-b521-4136-879d-7b85a51c8892 NaN None None\n", "4 90152033 9.0 2024-11-04 23:28:23.534127+00:00 0d43e813-d55a-4dac-a1e4-724c4bc78a2c c15b6cb6-3c61-4910-91ae-7c1567e098b5 NaN None None\n", "... ... ... ... ... ... ... ... ...\n", "1083439 59673628 21.0 2024-11-12 08:09:38.693562+00:00 b0bd8aab-db68-468a-9f72-7de962a0479b 3f3209af-9a82-47db-b257-aaae6c805d8b NaN None None\n", "1083440 75824400 23.0 2024-11-12 08:09:38.711042+00:00 4fb70bfa-c7c2-4daa-8317-8ea86135898f 3f3209af-9a82-47db-b257-aaae6c805d8b NaN None None\n", "1083441 76299330 26.0 2024-11-12 08:09:38.726466+00:00 f9571f28-668e-47e0-aba5-9f896a4bf845 3f3209af-9a82-47db-b257-aaae6c805d8b NaN None None\n", "1083442 91859259 14.0 2024-11-12 06:37:35.727679+00:00 e8dd4aef-ca09-4756-8a97-547025756136 7271a402-7b4e-4dbb-b602-b9c4f39bf0ce NaN None None\n", "1083443 91859296 11.0 2024-11-12 06:40:11.678541+00:00 2bb47d91-ecaa-4588-9f02-bed4acd9a827 b0e0be21-1900-4f8c-b0e8-6ba7f05577c8 NaN None None\n", "\n", "[1083444 rows x 8 columns]" ] }, "execution_count": 98, "metadata": {}, "output_type": "execute_result" } ], "source": [ "playlist_clip_df" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 99, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:44:07.462528Z", "iopub.status.busy": "2024-11-12T10:44:07.462419Z", "iopub.status.idle": "2024-11-12T10:44:07.504380Z", "shell.execute_reply": "2024-11-12T10:44:07.504062Z", "shell.execute_reply.started": "2024-11-12T10:44:07.462516Z" } }, "outputs": [], "source": [ "# v4_users = clip_df[clip_df[\"model_name\"].str.contains(\"v4\")][\"user_id\"].unique()" ] }, { "cell_type": "code", "execution_count": 100, "metadata": { "execution": { "iopub.execute_input": "2024-11-12T10:44:07.504843Z", "iopub.status.busy": "2024-11-12T10:44:07.504737Z", "iopub.status.idle": "2024-11-12T10:44:07.543940Z", "shell.execute_reply": "2024-11-12T10:44:07.543624Z", "shell.execute_reply.started": "2024-11-12T10:44:07.504832Z" } }, "outputs": [], "source": [ "# discord_info_df[discord_info_df[\"user_id\"].isin(v4_users)][[\"user_id\", \"subscription_status\", \"extra_credits_balance\", \"display_name\", \"handle\"]]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.10.15" }, "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 }