{ "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": "2025-09-24T12:29:30.544465Z", "iopub.status.busy": "2025-09-24T12:29:30.544144Z", "iopub.status.idle": "2025-09-24T12:29:30.751803Z", "shell.execute_reply": "2025-09-24T12:29:30.751391Z", "shell.execute_reply.started": "2025-09-24T12:29:30.544449Z" } }, "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": "2025-09-24T12:29:30.752497Z", "iopub.status.busy": "2025-09-24T12:29:30.752305Z", "iopub.status.idle": "2025-09-24T12:29:36.712461Z", "shell.execute_reply": "2025-09-24T12:29:36.711808Z", "shell.execute_reply.started": "2025-09-24T12:29:30.752484Z" } }, "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", "import tqdm\n", "from botocore.exceptions import ClientError\n", "from suno_analytics.preference_helper import (\n", " get_preference_counts,\n", " plot_preference_data_for_each_task\n", ")\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 = \"app-user-main-db-secret\"\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://suno:%s@suno-main-postgres-prod-analytics.cnfvffydbwvc.us-east-2.rds.amazonaws.com/suno_main\"\n", " % quote(my_secrets[\"password\"]),\n", ")\n", "\n", "\n", "home_dir = os.path.expanduser(\"~\")\n", "snow_password_path = os.path.join(home_dir, \".aws\", \"snow_pw.txt\")\n", "if os.path.exists(snow_password_path):\n", " # !pip install snowflake\n", " from snowflake.core import Root\n", " from snowflake.snowpark import Session\n", "\n", " with open(snow_password_path, \"r\") as fp:\n", " fp_lines = fp.readlines()\n", " snow_password = fp_lines[0].strip()\n", " snow_username = fp_lines[1].strip()\n", "\n", " CONNECTION_PARAMETERS = {\n", " \"account\": \"fu90569.us-east-2.aws\",\n", " \"user\": snow_username,\n", " \"private_key_file\": \"/home/tony/.aws/rsa_key.p8\",\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": "2025-09-24T12:29:36.714048Z", "iopub.status.busy": "2025-09-24T12:29:36.713578Z", "iopub.status.idle": "2025-09-24T12:29:36.732382Z", "shell.execute_reply": "2025-09-24T12:29:36.731884Z", "shell.execute_reply.started": "2025-09-24T12:29:36.714032Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2025-09-24 12:29:36.730239 1758716976.730242 2025-09-23 14:00:00\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 = \"2024-11-12 13:00:00\" # 30b t6-2 out\n", "# cutoff_date = \"2024-11-19 16:00:00\" # v4 out\n", "# cutoff_date = \"2024-12-16 20:40:00\" # v4 s32 out\n", "# cutoff_date = \"2025-01-28 15:30:00\" # diff v4 out\n", "# cutoff_date = \"2025-01-30 01:45:00\" # diff v4 out with cfg...\n", "# cutoff_date = \"2025-02-21 22:15:00\" # diff v5 out\n", "# cutoff_date = \"2025-03-06 19:00:00\" # diff v6 out\n", "# cutoff_date = \"2025-03-24 00:00:00\" # diff v7 out\n", "# cutoff_date = \"2025-03-24 23:15:00\" # diff v2 data collection out\n", "# cutoff_date = \"2025-05-01 00:00:00\" # auk out\n", "# cutoff_date = \"2025-06-03 18:30:00\" # stems out, slider out\n", "# cutoff_date = \"2025-06-06 00:00:00\" # diff v2 d4 data collection out\n", "# cutoff_date = \"2025-06-15 00:00:00\" # stems out, slider out\n", "# cutoff_date = \"2025-06-24 00:00:00\" # recent -- with v4 exp vae write bug -- affect 2% signal\n", "# cutoff_date = \"2025-07-01 00:00:00\" # recent\n", "# utoff_date = \"2025-07-15 21:45:00\" # recent\n", "# cutoff_date = \"2025-07-17 15:00:00\" # bluejay launch -- 11\n", "# cutoff_date = \"2025-07-20 00:00:00\" # bluejay param change\n", "# cutoff_date = \"2025-07-22 00:00:00\" # bluejay-t2\n", "# cutoff_date = \"2025-08-21 23:00:00\" # carp out for data collection\n", "# cutoff_date = \"2025-09-10 00:00:00\" # crow out to alphas\n", "cutoff_date = \"2025-09-23 14:00:00\" # crow-t1 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(datetime.datetime.now(), time.time(), 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": "2025-09-24T12:29:36.733015Z", "iopub.status.busy": "2025-09-24T12:29:36.732895Z", "iopub.status.idle": "2025-09-24T12:29:37.072304Z", "shell.execute_reply": "2025-09-24T12:29:37.071771Z", "shell.execute_reply.started": "2025-09-24T12:29:36.733003Z" } }, "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": "2025-09-24T12:29:37.073010Z", "iopub.status.busy": "2025-09-24T12:29:37.072850Z", "iopub.status.idle": "2025-09-24T12:29:37.622041Z", "shell.execute_reply": "2025-09-24T12:29:37.621559Z", "shell.execute_reply.started": "2025-09-24T12:29:37.072997Z" } }, "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": "2025-09-24T12:29:37.622697Z", "iopub.status.busy": "2025-09-24T12:29:37.622541Z", "iopub.status.idle": "2025-09-24T12:33:14.417979Z", "shell.execute_reply": "2025-09-24T12:33:14.417447Z", "shell.execute_reply.started": "2025-09-24T12:29:37.622684Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Start gather data from 2025-09-23 14:00:00\n", "Bots Action: 10,141,906 rows\n", " ---- Execution time: 13.28 seconds\n", "Reactions: 12,258,195 rows\n", " ---- Execution time: 20.30 seconds\n", "Discord Info: 955,112 rows\n", "subscription_status\n", "active 936829\n", "past_due 18283\n", "Name: count, dtype: int64\n", " ---- Execution time: 13.27 seconds\n", "Playlist Clips: 255,241 rows\n", " ---- Execution time: 4.11 seconds\n", "Total Clips: 7,412,210 rows\n", " ---- Execution time: 78.44 seconds\n", "Before user_n_clips filtering: 7,412,210 rows; \n", "After user_n_clips filtering: 4,557,626 rows; \n", "Before request_id filtering: 4,557,626 rows; na rows: 78,736\n", "Generation requests: 2,098,145 rows; na rows: 78,736\n", "After request_id filtering: 4,362,219 rows; na rows: 78,736\n", "Before is_deleted filtering: 4,362,219 rows; na rows: 78,736\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/tony/Work/glockenspiel/suno_analytics/suno_analytics/preference_data_selection.py:493: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", " valid_requests = request_deletion_status[\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "After is_deleted filtering: 3,632,115 rows; na rows: 78,736\n" ] } ], "source": [ "# gathered_data = gather_data(engine, cutoff_date)\n", "gathered_data = gather_data_with_snowflake(\n", " snow_session, cutoff_date, filter_play_count=1, filter_user_n_clips=20\n", ")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:33:14.418735Z", "iopub.status.busy": "2025-09-24T12:33:14.418562Z", "iopub.status.idle": "2025-09-24T12:33:14.439935Z", "shell.execute_reply": "2025-09-24T12:33:14.439551Z", "shell.execute_reply.started": "2025-09-24T12:33:14.418721Z" } }, "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": "2025-09-24T12:33:14.440476Z", "iopub.status.busy": "2025-09-24T12:33:14.440365Z", "iopub.status.idle": "2025-09-24T12:33:22.695981Z", "shell.execute_reply": "2025-09-24T12:33:22.695448Z", "shell.execute_reply.started": "2025-09-24T12:33:14.440465Z" } }, "outputs": [], "source": [ "# parse out the necessary metadata early\n", "total_clip_df[\n", " [\"continued_parent\", \"duration\", \"source\", \"clip_type\", \"task\", \"edited_clip_id\"]\n", "] = pd.DataFrame(\n", " total_clip_df[\"metadata\"].map(parse_metadata_for_basics).tolist(),\n", " index=total_clip_df.index,\n", ")" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:33:22.697744Z", "iopub.status.busy": "2025-09-24T12:33:22.697470Z", "iopub.status.idle": "2025-09-24T12:33:27.082535Z", "shell.execute_reply": "2025-09-24T12:33:27.082076Z", "shell.execute_reply.started": "2025-09-24T12:33:22.697729Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total clips: 3632115\n", "gen: 3300349 (90.87%)\n", "upsample: 172077 (4.74%)\n", "preview: 80953 (2.23%)\n", "upload: 47499 (1.31%)\n", "concat: 14525 (0.40%)\n", "edit_v3_export: 7187 (0.20%)\n", "edit_speed: 4168 (0.11%)\n", "concat_infilling: 2950 (0.08%)\n", "edit_crop: 1689 (0.05%)\n", "edit_fade: 299 (0.01%)\n", "rendered_context_window: 289 (0.01%)\n", "studio_export: 130 (0.00%)\n", "total without model: 55778\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Total number of hours: 22\n", "Average clips per hour: 165096.14\n", "Max clips in an hour: 224885\n", "Min clips in an hour: 130556\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[\"task\"] == \"gen_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": "2025-09-24T12:33:27.083190Z", "iopub.status.busy": "2025-09-24T12:33:27.083034Z", "iopub.status.idle": "2025-09-24T12:33:27.403121Z", "shell.execute_reply": "2025-09-24T12:33:27.402608Z", "shell.execute_reply.started": "2025-09-24T12:33:27.083178Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "number of upvoates: 1,500,284 rows\n", "number of flagged reports: 15,759 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": "2025-09-24T12:33:27.403945Z", "iopub.status.busy": "2025-09-24T12:33:27.403644Z", "iopub.status.idle": "2025-09-24T12:33:28.341928Z", "shell.execute_reply": "2025-09-24T12:33:28.341429Z", "shell.execute_reply.started": "2025-09-24T12:33:27.403931Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reactions fraction by pro user:\n", "True: 8029339 (65.50%)\n", "False: 4228856 (34.50%)\n", "------------\n", "Clip generated fraction by pro user:\n", "True: 3416539 (94.06%)\n", "False: 215576 (5.94%)\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": "2025-09-24T12:33:28.342737Z", "iopub.status.busy": "2025-09-24T12:33:28.342442Z", "iopub.status.idle": "2025-09-24T12:33:28.670222Z", "shell.execute_reply": "2025-09-24T12:33:28.669718Z", "shell.execute_reply.started": "2025-09-24T12:33:28.342723Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "stem parent ids: 11699\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": "2025-09-24T12:33:28.670996Z", "iopub.status.busy": "2025-09-24T12:33:28.670742Z", "iopub.status.idle": "2025-09-24T12:33:29.704184Z", "shell.execute_reply": "2025-09-24T12:33:29.703697Z", "shell.execute_reply.started": "2025-09-24T12:33:28.670981Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Clips in a splaylist:\n", "False: 3569626 (98.28%)\n", "True: 62489 (1.72%)\n", "------------\n", "Clips has stem children:\n", "False: 3623531 (99.76%)\n", "True: 8584 (0.24%)\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": "2025-09-24T12:33:29.704935Z", "iopub.status.busy": "2025-09-24T12:33:29.704693Z", "iopub.status.idle": "2025-09-24T12:33:31.059870Z", "shell.execute_reply": "2025-09-24T12:33:31.059365Z", "shell.execute_reply.started": "2025-09-24T12:33:29.704921Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "clips that have children: 328402 \n", "clips that are parents: 43457 \n", " Average continues from clip = 7.56\n", "web: 3069359 (85.19%)\n", "ios: 318918 (8.85%)\n", "android: 214583 (5.96%)\n", "living-radio: 4 (0.00%)\n", "external: 2 (0.00%)\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": "2025-09-24T12:33:31.060684Z", "iopub.status.busy": "2025-09-24T12:33:31.060401Z", "iopub.status.idle": "2025-09-24T12:33:34.375503Z", "shell.execute_reply": "2025-09-24T12:33:34.374984Z", "shell.execute_reply.started": "2025-09-24T12:33:31.060671Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total uploads: 55778\n", "clips without request id: 78736\n", "clips without request id: 78736 clip_type\n", "upload 47499\n", "concat 14525\n", "edit_v3_export 7187\n", "edit_speed 4168\n", "concat_infilling 2950\n", "edit_crop 1689\n", "edit_fade 299\n", "rendered_context_window 289\n", "studio_export 130\n", "Name: count, dtype: int64\n", "Clips without request id (concat, uploads...) frac = 0.00810\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\") \n", "| (clip_df[\"clip_type\"] == \"concat_infilling\") \n", "| (clip_df[\"clip_type\"] == \"stem_mix\") \n", "| (clip_df[\"clip_type\"] == \"edit_v3_export\") \n", "| (clip_df[\"clip_type\"] == \"edit_speed\")\n", "| (clip_df[\"clip_type\"] == \"edit_fade\")\n", "| (clip_df[\"clip_type\"] == \"rendered_context_window\")\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": "2025-09-24T12:33:34.376200Z", "iopub.status.busy": "2025-09-24T12:33:34.376031Z", "iopub.status.idle": "2025-09-24T12:33:34.723302Z", "shell.execute_reply": "2025-09-24T12:33:34.722813Z", "shell.execute_reply.started": "2025-09-24T12:33:34.376187Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "chirp-crow-t1: 2504737 (70.49%)\n", "chirp-bluejay-t2: 316082 (8.90%)\n", "chirp-ahi-stem-12-t1: 159243 (4.48%)\n", "chirp-carp-up-1: 146644 (4.13%)\n", "chirp-v3p5-engine-s-8: 127078 (3.58%)\n", "chirp-crow-engine-b: 100764 (2.84%)\n", "chirp-auk-t1: 56396 (1.59%)\n", "chirp-bluejay-engine-b: 24146 (0.68%)\n", "chirp-ahi-up-3: 17329 (0.49%)\n", "chirp-bass-up-3: 17083 (0.48%)\n", "chirp-crow: 15293 (0.43%)\n", "chirp-v3p5-engine-t-6: 14744 (0.41%)\n", "chirp-v4-h-s-32: 12240 (0.34%)\n", "chirp-v4-engine-b: 11682 (0.33%)\n", "chirp-auk-engine-b: 9505 (0.27%)\n", "chirp-v3p5-engine-b: 5050 (0.14%)\n", "chirp-v4-h-t-6: 4096 (0.12%)\n", "chirp-carp-up-c-2: 2209 (0.06%)\n", "chirp-bluejay: 1828 (0.05%)\n", "chirp-auk-infill: 1378 (0.04%)\n", "chirp-v3-engine-i: 1320 (0.04%)\n", "chirp-v4-up-u-d-2-5: 1166 (0.03%)\n", "chirp-crow-t2: 861 (0.02%)\n", "chirp-v3-5: 648 (0.02%)\n", "chirp-v2-xxl-alpha: 511 (0.01%)\n", "chirp-auk: 367 (0.01%)\n", "chirp-v3p5-engine-upload-4: 300 (0.01%)\n", "chirp-v3p5-engine-b-tau: 259 (0.01%)\n", "chirp-v4-engine-b-tau: 97 (0.00%)\n", "chirp-stem: 95 (0.00%)\n", "chirp-v3-5-tau: 91 (0.00%)\n", "chirp-carp: 72 (0.00%)\n", "chirp-v4: 44 (0.00%)\n", "chirp-v3-0: 9 (0.00%)\n", "chirp-bass: 7 (0.00%)\n", "chirp-v4-h-api: 2 (0.00%)\n", "chirp-v4-tau: 1 (0.00%)\n", "chirp-up: 1 (0.00%)\n", "chirp-ahi: 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": "2025-09-24T12:33:34.724054Z", "iopub.status.busy": "2025-09-24T12:33:34.723816Z", "iopub.status.idle": "2025-09-24T12:33:38.411657Z", "shell.execute_reply": "2025-09-24T12:33:38.411159Z", "shell.execute_reply.started": "2025-09-24T12:33:34.724040Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "pre-filter model type clip_df shape: (3553379, 40)\n", "post-filter model type clip_df shape: (3535017, 40)\n", "chirp-crow-t1: 2504737 (70.86%)\n", "chirp-bluejay-t2: 316082 (8.94%)\n", "chirp-ahi-stem-12-t1: 159243 (4.50%)\n", "chirp-carp-up-1: 146644 (4.15%)\n", "chirp-v3p5-engine-s-8: 127078 (3.59%)\n", "chirp-crow-engine-b: 100764 (2.85%)\n", "chirp-auk-t1: 56396 (1.60%)\n", "chirp-bluejay-engine-b: 24146 (0.68%)\n", "chirp-ahi-up-3: 17329 (0.49%)\n", "chirp-bass-up-3: 17083 (0.48%)\n", "chirp-v3p5-engine-t-6: 14744 (0.42%)\n", "chirp-v4-h-s-32: 12240 (0.35%)\n", "chirp-v4-engine-b: 11682 (0.33%)\n", "chirp-auk-engine-b: 9505 (0.27%)\n", "chirp-v3p5-engine-b: 5050 (0.14%)\n", "chirp-v4-h-t-6: 4096 (0.12%)\n", "chirp-carp-up-c-2: 2209 (0.06%)\n", "chirp-auk-infill: 1378 (0.04%)\n", "chirp-v3-engine-i: 1320 (0.04%)\n", "chirp-v4-up-u-d-2-5: 1166 (0.03%)\n", "chirp-crow-t2: 861 (0.02%)\n", "chirp-v2-xxl-alpha: 511 (0.01%)\n", "chirp-v3p5-engine-upload-4: 300 (0.01%)\n", "chirp-v3p5-engine-b-tau: 259 (0.01%)\n", "chirp-v4-engine-b-tau: 97 (0.00%)\n", "chirp-stem: 95 (0.00%)\n", "chirp-v4-h-api: 2 (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", " & (clip_df[\"model_name\"] != \"chirp-v4\")\n", " & (clip_df[\"model_name\"] != \"chirp-v4-tau\")\n", " & (clip_df[\"model_name\"] != \"chirp-up\")\n", " & (clip_df[\"model_name\"] != \"chirp-auk\")\n", " & (clip_df[\"model_name\"] != \"chirp-bluejay\")\n", " & (clip_df[\"model_name\"] != \"chirp-crow\")\n", " & (clip_df[\"model_name\"] != \"chirp-ahi\")\n", " & (clip_df[\"model_name\"] != \"chirp-bass\")\n", " & (clip_df[\"model_name\"] != \"chirp-carp\")\n", " & (clip_df[\"model_name\"] != \"chirp-v4-h-t-6-cfg-null\")\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": "2025-09-24T12:33:38.412391Z", "iopub.status.busy": "2025-09-24T12:33:38.412157Z", "iopub.status.idle": "2025-09-24T12:33:38.594586Z", "shell.execute_reply": "2025-09-24T12:33:38.594078Z", "shell.execute_reply.started": "2025-09-24T12:33:38.412377Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ ": 1899136 (53.72%)\n", "cover: 798641 (22.59%)\n", "upsample: 172001 (4.87%)\n", "artist_consistency: 163713 (4.63%)\n", "gen_stem: 159338 (4.51%)\n", "artist_cover: 98295 (2.78%)\n", "extend: 67853 (1.92%)\n", "upload_extend: 38761 (1.10%)\n", "infill: 38440 (1.09%)\n", "playlist_condition: 38221 (1.08%)\n", "overpainting: 21541 (0.61%)\n", "underpainting: 14680 (0.42%)\n", "fixed_infill: 12430 (0.35%)\n", "artist_extend: 10756 (0.30%)\n", "stem_condition: 711 (0.02%)\n", "generate: 350 (0.01%)\n", "stem_condition_infill: 150 (0.00%)\n" ] } ], "source": [ "print_out_value_counts_nicely(clip_df, \"task\")" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:33:38.595386Z", "iopub.status.busy": "2025-09-24T12:33:38.595108Z", "iopub.status.idle": "2025-09-24T12:33:39.507516Z", "shell.execute_reply": "2025-09-24T12:33:39.507024Z", "shell.execute_reply.started": "2025-09-24T12:33:38.595373Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "concat reactions: 38316 unique concat clips: 29343\n", "total concats (29418, 43)\n", "check \n", " reaction_play_count reaction_upvote_count reaction_dislike_count\n", "count 29343.000000 29343.000000 29343.000000\n", "mean 3.901748 0.288859 0.016767\n", "std 9.175724 1.652250 0.128665\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 487.000000 89.000000 2.000000\n", "All concats 29418\n", "total concats with plays 29343\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": 20, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:38.974479Z", "start_time": "2024-05-26T00:23:34.385507Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:39.508307Z", "iopub.status.busy": "2025-09-24T12:33:39.508021Z", "iopub.status.idle": "2025-09-24T12:33:40.625582Z", "shell.execute_reply": "2025-09-24T12:33:40.625069Z", "shell.execute_reply.started": "2025-09-24T12:33:39.508293Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "15611it [00:00, 27714.79it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "b71ec314-60e6-475f-9c7b-e42c4ae366cd no duration\n", "b71ec314-60e6-475f-9c7b-e42c4ae366cd no duration\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "24171it [00:00, 28292.33it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "080a8e2f-1a5c-4d07-8ff9-d2233d6f7827 no duration\n", "080a8e2f-1a5c-4d07-8ff9-d2233d6f7827 no duration\n", "080a8e2f-1a5c-4d07-8ff9-d2233d6f7827 no duration\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "29343it [00:01, 27113.12it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "total concat unique clips are: 45360 with error: 345, duplicate 3090 \n", " uploads are in concats 27 frac 0.001\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "concat_clips_ids = get_concat_clip_ids(concated_clips, clip_df, upload_clip_df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Features" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:40.236690Z", "start_time": "2024-05-26T00:23:39.995713Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:40.626341Z", "iopub.status.busy": "2025-09-24T12:33:40.626086Z", "iopub.status.idle": "2025-09-24T12:33:40.757294Z", "shell.execute_reply": "2025-09-24T12:33:40.756814Z", "shell.execute_reply.started": "2025-09-24T12:33:40.626327Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "count 3.535017e+06\n", "mean 8.285460e+01\n", "std 1.025659e+02\n", "min 1.000000e+00\n", "25% 2.800000e+01\n", "50% 5.100000e+01\n", "75% 9.600000e+01\n", "max 1.194000e+03\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": 22, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:44.826860Z", "start_time": "2024-05-26T00:23:40.238330Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:40.758076Z", "iopub.status.busy": "2025-09-24T12:33:40.757803Z", "iopub.status.idle": "2025-09-24T12:33:41.989328Z", "shell.execute_reply": "2025-09-24T12:33:41.988843Z", "shell.execute_reply.started": "2025-09-24T12:33:40.758062Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has upvoted upvoted\n", "False 3197634\n", "True 337383\n", "Name: count, dtype: int64 upvoted\n", "False 0.90456\n", "True 0.09544\n", "Name: proportion, dtype: float64 upvote_count\n", "False 0.904205\n", "True 0.095795\n", "Name: proportion, dtype: float64 upvote_count\n", "False 0.998457\n", "True 0.001543\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", " (clip_df[\"upvote_count\"] > 1).value_counts(normalize=True),\n", ")\n", "# clip_df = clip_df.drop(columns=['upvote_count'])" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:48.404433Z", "start_time": "2024-05-26T00:23:44.857788Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:41.990103Z", "iopub.status.busy": "2025-09-24T12:33:41.989815Z", "iopub.status.idle": "2025-09-24T12:33:42.855470Z", "shell.execute_reply": "2025-09-24T12:33:42.854981Z", "shell.execute_reply.started": "2025-09-24T12:33:41.990089Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "downvoted fraction by category:\n", "False: 3347826 (94.70%)\n", "True: 187191 (5.30%)\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": 24, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:56.590022Z", "start_time": "2024-05-26T00:23:48.405668Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:42.856213Z", "iopub.status.busy": "2025-09-24T12:33:42.855968Z", "iopub.status.idle": "2025-09-24T12:33:43.463240Z", "shell.execute_reply": "2025-09-24T12:33:43.462749Z", "shell.execute_reply.started": "2025-09-24T12:33:42.856199Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has_continued fraction by category:\n", "False: 3515470 (99.45%)\n", "True: 19547 (0.55%)\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": 25, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:33:43.464053Z", "iopub.status.busy": "2025-09-24T12:33:43.463754Z", "iopub.status.idle": "2025-09-24T12:33:43.503743Z", "shell.execute_reply": "2025-09-24T12:33:43.503317Z", "shell.execute_reply.started": "2025-09-24T12:33:43.464040Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has upvoted in exp 0.09544\n", "has downvoted out of exp 0.05295\n" ] } ], "source": [ "print(\n", " \"has upvoted in exp\",\n", " round(clip_df[\"upvoted\"].value_counts(normalize=True)[True], 5),\n", ")\n", "print(\n", " \"has downvoted out of exp\",\n", " round(clip_df[\"downvoted\"].value_counts(normalize=True)[True], 5),\n", ")" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:04.704306Z", "start_time": "2024-05-26T00:23:56.591353Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:43.504454Z", "iopub.status.busy": "2025-09-24T12:33:43.504213Z", "iopub.status.idle": "2025-09-24T12:33:44.021036Z", "shell.execute_reply": "2025-09-24T12:33:44.020523Z", "shell.execute_reply.started": "2025-09-24T12:33:43.504441Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "part_of_concat fraction by category:\n", "False: 3509192 (99.27%)\n", "True: 25825 (0.73%)\n", "------------\n", "Model distribution for part_of_concat clips:\n", "chirp-crow-t1: 60.36%\n", "chirp-bluejay-t2: 22.78%\n", "chirp-bass-up-3: 4.34%\n", "chirp-crow-engine-b: 2.61%\n", "chirp-carp-up-1: 2.51%\n", "chirp-v3p5-engine-s-8: 1.86%\n", "chirp-auk-t1: 1.53%\n", "chirp-bluejay-engine-b: 0.99%\n", "chirp-v3p5-engine-t-6: 0.69%\n", "chirp-auk-infill: 0.49%\n", "chirp-ahi-up-3: 0.47%\n", "chirp-v4-h-s-32: 0.35%\n", "chirp-ahi-stem-12-t1: 0.25%\n", "chirp-v4-h-t-6: 0.22%\n", "chirp-v3p5-engine-upload-4: 0.19%\n", "chirp-auk-engine-b: 0.19%\n", "chirp-v3p5-engine-b: 0.05%\n", "chirp-v4-engine-b: 0.04%\n", "chirp-v4-up-u-d-2-5: 0.03%\n", "chirp-v3p5-engine-b-tau: 0.02%\n", "chirp-v3-engine-i: 0.02%\n", "chirp-crow-t2: 0.02%\n", "chirp-carp-up-c-2: 0.02%\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": 27, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:09.954233Z", "start_time": "2024-05-26T00:24:04.705554Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:44.024265Z", "iopub.status.busy": "2025-09-24T12:33:44.024047Z", "iopub.status.idle": "2025-09-24T12:33:47.320042Z", "shell.execute_reply": "2025-09-24T12:33:47.319545Z", "shell.execute_reply.started": "2025-09-24T12:33:44.024251Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1224535\n", "has_action fraction by category:\n", "False: 3166802 (89.58%)\n", "True: 368215 (10.42%)\n" ] } ], "source": [ "# verify bots action are all non-empty\n", "bots_action_df.fillna(0, inplace=True)\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\"]\n", " # 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", "print(len(has_action_ids))\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": 28, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:14.579841Z", "start_time": "2024-05-26T00:24:09.955568Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:47.320861Z", "iopub.status.busy": "2025-09-24T12:33:47.320545Z", "iopub.status.idle": "2025-09-24T12:33:47.539838Z", "shell.execute_reply": "2025-09-24T12:33:47.539354Z", "shell.execute_reply.started": "2025-09-24T12:33:47.320847Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "flagged fraction by category:\n", "False: 3529578 (99.85%)\n", "True: 5439 (0.15%)\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": 29, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:33:47.540608Z", "iopub.status.busy": "2025-09-24T12:33:47.540327Z", "iopub.status.idle": "2025-09-24T12:33:47.570614Z", "shell.execute_reply": "2025-09-24T12:33:47.570209Z", "shell.execute_reply.started": "2025-09-24T12:33:47.540594Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "deleted fraction by category:\n", "False: 3382517 (95.69%)\n", "True: 152500 (4.31%)\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": 30, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:33:47.571234Z", "iopub.status.busy": "2025-09-24T12:33:47.571053Z", "iopub.status.idle": "2025-09-24T12:33:48.840769Z", "shell.execute_reply": "2025-09-24T12:33:48.840267Z", "shell.execute_reply.started": "2025-09-24T12:33:47.571222Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "number of edits per clip: 5.082622064020617 median 2.0\n" ] } ], "source": [ "edit_id_counts = clip_df[\"edited_clip_id\"].value_counts()\n", "clip_df[\"n_edits\"] = clip_df[\"id\"].map(edit_id_counts)\n", "print(\n", " \"number of edits per clip:\",\n", " clip_df[\"n_edits\"].mean(),\n", " \"median\",\n", " clip_df[\"n_edits\"].median(),\n", ")\n", "# print_out_value_counts_nicely(clip_df, \"n_edits\")" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:15.382315Z", "start_time": "2024-05-26T00:24:14.581073Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:48.841566Z", "iopub.status.busy": "2025-09-24T12:33:48.841276Z", "iopub.status.idle": "2025-09-24T12:33:49.259905Z", "shell.execute_reply": "2025-09-24T12:33:49.259400Z", "shell.execute_reply.started": "2025-09-24T12:33:48.841552Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total clips: 3,535,017\n", "Must be positive: 666,247 (18.85%)\n", "Definitely not negative: 3,193,756 (90.35%)\n", "Must be negative: 341,261 (9.65%)\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", " clip_df[\"n_edits\"] >= 10\n", " ) # has more edit operations (upsample, cover, extend, etc)\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": 32, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:31.095990Z", "start_time": "2024-05-26T00:24:15.383572Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:49.260661Z", "iopub.status.busy": "2025-09-24T12:33:49.260413Z", "iopub.status.idle": "2025-09-24T12:33:53.577533Z", "shell.execute_reply": "2025-09-24T12:33:53.577018Z", "shell.execute_reply.started": "2025-09-24T12:33:49.260647Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Liked requests: 503,378\n", "Not liked requests: 1,594,221\n", "Requests with preference paired generations: 368,546\n", "Percentage of total unique requests: 21.31%\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": 33, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:33:53.578247Z", "iopub.status.busy": "2025-09-24T12:33:53.578070Z", "iopub.status.idle": "2025-09-24T12:33:56.551664Z", "shell.execute_reply": "2025-09-24T12:33:56.551143Z", "shell.execute_reply.started": "2025-09-24T12:33:53.578233Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Disliked requests: 261,097\n", "Not disliked requests: 1,646,645\n", "Requests with preference paired generations: 178,689\n", "Percentage of total unique requests: 10.33%\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": 34, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:31.099372Z", "start_time": "2024-05-26T00:24:31.097244Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:56.552375Z", "iopub.status.busy": "2025-09-24T12:33:56.552199Z", "iopub.status.idle": "2025-09-24T12:33:56.591914Z", "shell.execute_reply": "2025-09-24T12:33:56.591467Z", "shell.execute_reply.started": "2025-09-24T12:33:56.552362Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total selected pairs of requests: 468,907\n", "Percentage of total unique requests: 27.12%\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": 35, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:31.239254Z", "start_time": "2024-05-26T00:24:31.100389Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:56.592681Z", "iopub.status.busy": "2025-09-24T12:33:56.592408Z", "iopub.status.idle": "2025-09-24T12:33:56.634371Z", "shell.execute_reply": "2025-09-24T12:33:56.633888Z", "shell.execute_reply.started": "2025-09-24T12:33:56.592667Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Difference in preference counts:\n", "0: 2,536,597 (71.76%)\n", "1: 657,159 (18.59%)\n", "-1: 341,261 (9.65%)\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": 36, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:37.322031Z", "start_time": "2024-05-26T00:24:31.240829Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:33:56.635061Z", "iopub.status.busy": "2025-09-24T12:33:56.634855Z", "iopub.status.idle": "2025-09-24T12:34:01.894747Z", "shell.execute_reply": "2025-09-24T12:34:01.894221Z", "shell.execute_reply.started": "2025-09-24T12:33:56.635048Z" } }, "outputs": [], "source": [ "# filter out 8 stems for now?\n", "clip_df['request_count'] = clip_df.groupby('request_id')['request_id'].transform('count')\n", "# creation of interesting_clips\n", "interesting_clips = clip_df[(clip_df[\"request_id\"].isin(requests)) & (clip_df['request_count'] == 2)].copy()" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:34:01.895484Z", "iopub.status.busy": "2025-09-24T12:34:01.895313Z", "iopub.status.idle": "2025-09-24T12:34:03.752217Z", "shell.execute_reply": "2025-09-24T12:34:03.751786Z", "shell.execute_reply.started": "2025-09-24T12:34:01.895471Z" } }, "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 00002c95-1667-4840-a6ed-134722955c80 False False 0\n", "1 00002c95-1667-4840-a6ed-134722955c80 True False 1\n", "2 0000471e-1176-4587-bd03-7207ae30d924 False False 0\n", "3 0000471e-1176-4587-bd03-7207ae30d924 True False 1\n", "4 0000785c-4a0d-439c-a96e-a1a7bd6911c7 False True -1\n", "5 0000785c-4a0d-439c-a96e-a1a7bd6911c7 False False 0" ] }, "execution_count": 37, "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": 38, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:34:03.752937Z", "iopub.status.busy": "2025-09-24T12:34:03.752664Z", "iopub.status.idle": "2025-09-24T12:34:03.776224Z", "shell.execute_reply": "2025-09-24T12:34:03.775835Z", "shell.execute_reply.started": "2025-09-24T12:34:03.752923Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Difference 0: 383,165 (41.52%)\n", "Difference 1: 361,111 (39.13%)\n", "Difference -1: 178,552 (19.35%)\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": 39, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:34:03.776784Z", "iopub.status.busy": "2025-09-24T12:34:03.776674Z", "iopub.status.idle": "2025-09-24T12:34:03.799230Z", "shell.execute_reply": "2025-09-24T12:34:03.798842Z", "shell.execute_reply.started": "2025-09-24T12:34:03.776772Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Value 1.0: 383,165 (83.04%)\n", "Value 2.0: 78,249 (16.96%)\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": 40, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:38.960130Z", "start_time": "2024-05-26T00:24:37.323369Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:03.799830Z", "iopub.status.busy": "2025-09-24T12:34:03.799653Z", "iopub.status.idle": "2025-09-24T12:34:05.894592Z", "shell.execute_reply": "2025-09-24T12:34:05.894079Z", "shell.execute_reply.started": "2025-09-24T12:34:03.799818Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of unique request_ids: 461,414\n", "Number of unique ids: 922,828\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": 41, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:43.332222Z", "start_time": "2024-05-26T00:24:43.166461Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:05.895400Z", "iopub.status.busy": "2025-09-24T12:34:05.895119Z", "iopub.status.idle": "2025-09-24T12:34:05.914836Z", "shell.execute_reply": "2025-09-24T12:34:05.914466Z", "shell.execute_reply.started": "2025-09-24T12:34:05.895386Z" } }, "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": 42, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:34:05.915400Z", "iopub.status.busy": "2025-09-24T12:34:05.915293Z", "iopub.status.idle": "2025-09-24T12:34:14.293010Z", "shell.execute_reply": "2025-09-24T12:34:14.292485Z", "shell.execute_reply.started": "2025-09-24T12:34:05.915389Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of interesting clips: 922,828\n", "Unique request and clip counts in interesting_clips:\n", "Request IDs: 461,414\n", "Clip IDs: 922,828\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": 43, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:43.737067Z", "start_time": "2024-05-26T00:24:43.563216Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:14.293848Z", "iopub.status.busy": "2025-09-24T12:34:14.293579Z", "iopub.status.idle": "2025-09-24T12:34:14.335188Z", "shell.execute_reply": "2025-09-24T12:34:14.334709Z", "shell.execute_reply.started": "2025-09-24T12:34:14.293834Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Preference counts and fractions by batch index:\n", "--------------------------------------------------\n", "Batch Index: 0\n", " Preference False: Count: 228,164 Fraction: 49.48%\n", " Preference True: Count: 232,948 Fraction: 50.52%\n", "\n", "Batch Index: 1\n", " Preference False: Count: 232,821 Fraction: 50.51%\n", " Preference True: Count: 228,109 Fraction: 49.49%\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": 44, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:44.533983Z", "start_time": "2024-05-26T00:24:44.305722Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:14.335934Z", "iopub.status.busy": "2025-09-24T12:34:14.335688Z", "iopub.status.idle": "2025-09-24T12:34:14.363723Z", "shell.execute_reply": "2025-09-24T12:34:14.363249Z", "shell.execute_reply.started": "2025-09-24T12:34:14.335921Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Time Validation:\n", "--------------------\n", "Interesting Clips:\n", " Earliest: 2025-09-23 14:00:00.075000\n", " Latest: 2025-09-24 11:59:59.563000\n", "\n", "All Clips:\n", " Earliest: 2025-09-23 14:00:00.075000\n", " Latest: 2025-09-24 11:59:59.942000\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": 45, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:50.674838Z", "start_time": "2024-05-26T00:24:46.366677Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:14.364449Z", "iopub.status.busy": "2025-09-24T12:34:14.364224Z", "iopub.status.idle": "2025-09-24T12:34:15.411265Z", "shell.execute_reply": "2025-09-24T12:34:15.410745Z", "shell.execute_reply.started": "2025-09-24T12:34:14.364436Z" } }, "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": 46, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:51.600621Z", "start_time": "2024-05-26T00:24:50.676186Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:15.412048Z", "iopub.status.busy": "2025-09-24T12:34:15.411802Z", "iopub.status.idle": "2025-09-24T12:34:15.819806Z", "shell.execute_reply": "2025-09-24T12:34:15.819313Z", "shell.execute_reply.started": "2025-09-24T12:34:15.412034Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ratio of preferred clips to total clips for each model:\n", "------------------------------------------------------------\n", "chirp-ahi-stem-12-t1 0.67% ± 0.02%\n", "chirp-ahi-up-3 18.02% ± 0.29%\n", "chirp-auk-engine-b 3.56% ± 0.19%\n", "chirp-auk-infill 10.60% ± 0.83%\n", "chirp-auk-t1 12.88% ± 0.14%\n", "chirp-bass-up-3 11.76% ± 0.25%\n", "chirp-bluejay-engine-b 8.42% ± 0.18%\n", "chirp-bluejay-t2 12.91% ± 0.06%\n", "chirp-carp-up-1 16.34% ± 0.10%\n", "chirp-carp-up-c-2 10.50% ± 0.65%\n", "chirp-crow-engine-b 14.47% ± 0.11%\n", "chirp-crow-t1 13.86% ± 0.02%\n", "chirp-crow-t2 3.95% ± 0.66%\n", "chirp-stem nan% ± nan%\n", "chirp-v2-xxl-alpha 8.61% ± 1.24%\n", "chirp-v3-engine-i 7.12% ± 0.71%\n", "chirp-v3p5-engine-b 10.04% ± 0.42%\n", "chirp-v3p5-engine-b-tau 13.51% ± 2.12%\n", "chirp-v3p5-engine-s-8 10.92% ± 0.09%\n", "chirp-v3p5-engine-t-6 13.05% ± 0.28%\n", "chirp-v3p5-engine-upload-4 16.33% ± 2.13%\n", "chirp-v4-engine-b 0.18% ± 0.04%\n", "chirp-v4-engine-b-tau 10.31% ± 3.09%\n", "chirp-v4-h-api nan% ± nan%\n", "chirp-v4-h-s-32 10.94% ± 0.28%\n", "chirp-v4-h-t-6 13.26% ± 0.53%\n", "chirp-v4-up-u-d-2-5 16.81% ± 1.10%\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": 47, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:56.302599Z", "start_time": "2024-05-26T00:24:51.601863Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:15.820556Z", "iopub.status.busy": "2025-09-24T12:34:15.820311Z", "iopub.status.idle": "2025-09-24T12:34:18.962453Z", "shell.execute_reply": "2025-09-24T12:34:18.961916Z", "shell.execute_reply.started": "2025-09-24T12:34:15.820542Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "len pos models: 461414\n", "differing counts: 747\n", "chirp-ahi-stem-12-t1_win_over_chirp-ahi-stem-12-t1, win ratio 1.000, (1.000, 1.000), counts 1068, total 1068.\n", "chirp-ahi-stem-12-t1_win_over_chirp-stem, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-ahi-up-3_win_over_chirp-ahi-up-3, win ratio 1.000, (1.000, 1.000), counts 3122, total 3122.\n", "chirp-auk-engine-b_win_over_chirp-auk-engine-b, win ratio 1.000, (1.000, 1.000), counts 338, total 338.\n", "chirp-auk-infill_win_over_chirp-auk-infill, win ratio 1.000, (1.000, 1.000), counts 146, total 146.\n", "chirp-auk-t1_win_over_chirp-auk-t1, win ratio 1.000, (1.000, 1.000), counts 7265, total 7265.\n", "chirp-bass-up-3_win_over_chirp-bass-up-3, win ratio 1.000, (1.000, 1.000), counts 2009, total 2009.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 2032, total 2032.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 40813, total 40813.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1, win ratio 1.000, (1.000, 1.000), counts 23454, total 23454.\n", "chirp-carp-up-1_win_over_chirp-carp-up-c-2, win ratio 0.689, (0.656, 0.722), counts 514, total 746.\n", "chirp-carp-up-c-2_win_over_chirp-carp-up-1, win ratio 0.311, (0.278, 0.344), counts 232, total 746.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 14577, total 14577.\n", "chirp-crow-t1_win_over_chirp-crow-t1, win ratio 1.000, (1.000, 1.000), counts 347172, total 347172.\n", "chirp-crow-t2_win_over_chirp-crow-t2, win ratio 1.000, (1.000, 1.000), counts 34, total 34.\n", "chirp-v2-xxl-alpha_win_over_chirp-v2-xxl-alpha, win ratio 1.000, (1.000, 1.000), counts 44, total 44.\n", "chirp-v3-engine-i_win_over_chirp-v3-engine-i, win ratio 1.000, (1.000, 1.000), counts 94, total 94.\n", "chirp-v3p5-engine-b-tau_win_over_chirp-v3p5-engine-b-tau, win ratio 1.000, (1.000, 1.000), counts 35, total 35.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 507, total 507.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 13875, total 13875.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 1924, total 1924.\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, (1.000, 1.000), counts 49, total 49.\n", "chirp-v4-engine-b-tau_win_over_chirp-v4-engine-b-tau, win ratio 1.000, (1.000, 1.000), counts 10, total 10.\n", "chirp-v4-engine-b_win_over_chirp-v4-engine-b, win ratio 1.000, (1.000, 1.000), counts 21, total 21.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32, win ratio 1.000, (1.000, 1.000), counts 1339, total 1339.\n", "chirp-v4-h-t-6_win_over_chirp-v4-h-t-6, win ratio 1.000, (1.000, 1.000), counts 543, total 543.\n", "chirp-v4-up-u-d-2-5_win_over_chirp-v4-up-u-d-2-5, win ratio 1.000, (1.000, 1.000), counts 196, total 196.\n", "tournament players: ['chirp-ahi-stem-12-t1', 'chirp-carp-up-1', 'chirp-carp-up-c-2', 'chirp-stem']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 643.94it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-ahi-stem-12-t1: 1035.6, (1000, 2330)\n", "chirp-carp-up-1: 1068.7, (1055, 1084)\n", "chirp-carp-up-c-2: 931.3, (917, 945)\n", "chirp-stem: 964.4, (-329, 1000)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", "No models found with multiple comparisons\n" ] } ], "source": [ "get_preference_counts(interesting_clips)" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:57.443236Z", "start_time": "2024-05-26T00:24:56.306473Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:18.963252Z", "iopub.status.busy": "2025-09-24T12:34:18.962993Z", "iopub.status.idle": "2025-09-24T12:34:19.991910Z", "shell.execute_reply": "2025-09-24T12:34:19.991464Z", "shell.execute_reply.started": "2025-09-24T12:34:18.963237Z" } }, "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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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_clip_basic_distributions(interesting_clips)" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:58.153310Z", "start_time": "2024-05-26T00:24:57.858363Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:19.992704Z", "iopub.status.busy": "2025-09-24T12:34:19.992437Z", "iopub.status.idle": "2025-09-24T12:34:20.012018Z", "shell.execute_reply": "2025-09-24T12:34:20.011647Z", "shell.execute_reply.started": "2025-09-24T12:34:19.992689Z" } }, "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": 50, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:58.890520Z", "start_time": "2024-05-26T00:24:58.154350Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:20.012637Z", "iopub.status.busy": "2025-09-24T12:34:20.012456Z", "iopub.status.idle": "2025-09-24T12:34:23.464038Z", "shell.execute_reply": "2025-09-24T12:34:23.463528Z", "shell.execute_reply.started": "2025-09-24T12:34:20.012626Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of clips in interesting_clips:\n", "922,828\n", "Number of clips in user_interesting_clips:\n", "920,390\n", "Ratio of preferred clips to total clips for each model:\n", "------------------------------------------------------------\n", "chirp-ahi-stem-12-t1 0.67% ± 0.02%\n", "chirp-ahi-up-3 17.98% ± 0.29%\n", "chirp-auk-engine-b 3.55% ± 0.19%\n", "chirp-auk-infill 10.60% ± 0.83%\n", "chirp-auk-t1 12.86% ± 0.14%\n", "chirp-bass-up-3 11.75% ± 0.25%\n", "chirp-bluejay-engine-b 8.41% ± 0.18%\n", "chirp-bluejay-t2 12.89% ± 0.06%\n", "chirp-carp-up-1 16.30% ± 0.10%\n", "chirp-carp-up-c-2 10.50% ± 0.65%\n", "chirp-crow-engine-b 14.44% ± 0.11%\n", "chirp-crow-t1 13.83% ± 0.02%\n", "chirp-crow-t2 3.95% ± 0.66%\n", "chirp-stem nan% ± nan%\n", "chirp-v2-xxl-alpha nan% ± nan%\n", "chirp-v3-engine-i nan% ± nan%\n", "chirp-v3p5-engine-b 10.04% ± 0.42%\n", "chirp-v3p5-engine-b-tau 13.51% ± 2.12%\n", "chirp-v3p5-engine-s-8 10.90% ± 0.09%\n", "chirp-v3p5-engine-t-6 13.00% ± 0.28%\n", "chirp-v3p5-engine-upload-4 16.00% ± 2.12%\n", "chirp-v4-engine-b 0.18% ± 0.04%\n", "chirp-v4-engine-b-tau 10.31% ± 3.09%\n", "chirp-v4-h-api nan% ± nan%\n", "chirp-v4-h-s-32 10.92% ± 0.28%\n", "chirp-v4-h-t-6 13.18% ± 0.53%\n", "chirp-v4-up-u-d-2-5 16.81% ± 1.10%\n" ] } ], "source": [ "# subselect interesting clips\n", "interesting_clips_masks = (interesting_clips[\"model_name\"].str.contains(\"v3p5|v4|v5|auk|ahi|bluejay|crow|bass|carp\")) & (\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": 51, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:59.204547Z", "start_time": "2024-05-26T00:24:58.891851Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:23.464794Z", "iopub.status.busy": "2025-09-24T12:34:23.464558Z", "iopub.status.idle": "2025-09-24T12:34:24.054820Z", "shell.execute_reply": "2025-09-24T12:34:24.054390Z", "shell.execute_reply.started": "2025-09-24T12:34:23.464780Z" } }, "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": 52, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:59.207707Z", "start_time": "2024-05-26T00:24:59.205659Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:24.055558Z", "iopub.status.busy": "2025-09-24T12:34:24.055321Z", "iopub.status.idle": "2025-09-24T12:34:24.168165Z", "shell.execute_reply": "2025-09-24T12:34:24.167673Z", "shell.execute_reply.started": "2025-09-24T12:34:24.055544Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Summary of user_interesting_clips:\n", "Total requests: 920,390\n", "Unique clips: 460,195\n", "Fraction of total clips: 25.34%\n", "Time Validation:\n", "Earliest timestamp: 2025-09-23 14:00:00.075000\n", "Latest timestamp: 2025-09-24 11:59:14.375000\n", "Earliest timestamp: 2025-09-23 14:00:06.011000\n", "Latest timestamp: 2025-09-24 11:56:40.875000\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": 53, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:34:24.168940Z", "iopub.status.busy": "2025-09-24T12:34:24.168667Z", "iopub.status.idle": "2025-09-24T12:34:24.188624Z", "shell.execute_reply": "2025-09-24T12:34:24.188252Z", "shell.execute_reply.started": "2025-09-24T12:34:24.168926Z" } }, "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": 54, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:00.893917Z", "start_time": "2024-05-26T00:25:00.485775Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:24.189235Z", "iopub.status.busy": "2025-09-24T12:34:24.189054Z", "iopub.status.idle": "2025-09-24T12:34:26.151725Z", "shell.execute_reply": "2025-09-24T12:34:26.151218Z", "shell.execute_reply.started": "2025-09-24T12:34:24.189223Z" } }, "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": 55, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:01.140472Z", "start_time": "2024-05-26T00:25:00.895575Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:26.152521Z", "iopub.status.busy": "2025-09-24T12:34:26.152272Z", "iopub.status.idle": "2025-09-24T12:34:43.104530Z", "shell.execute_reply": "2025-09-24T12:34:43.104033Z", "shell.execute_reply.started": "2025-09-24T12:34:26.152507Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(920390, 57)\n", "Model Name Value Counts and Fractions:\n", "chirp-crow-t1: 508651 (55.26%)\n", "chirp-bluejay-t2: 81458 (8.85%)\n", "chirp-crow-t1_mask_control_slider: 37760 (4.10%)\n", "chirp-carp-up-1: 36510 (3.97%)\n", "chirp-crow-engine-b: 29098 (3.16%)\n", "chirp-v3p5-engine-s-8: 24857 (2.70%)\n", "chirp-crow-t1_cfg_steps_10: 21049 (2.29%)\n", "chirp-crow-t1_max_tag_len_1024: 20951 (2.28%)\n", "chirp-crow-t1_cfg_steps_30: 20889 (2.27%)\n", "chirp-auk-t1: 14504 (1.58%)\n", "chirp-crow-t1_tag_cfg_20: 10625 (1.15%)\n", "chirp-crow-t1_n_tag_3: 10545 (1.15%)\n", "chirp-crow-t1_tag_cfg_05: 10544 (1.15%)\n", "chirp-crow-t1_temp_s_95: 10467 (1.14%)\n", "chirp-crow-t1_temp_s_100: 10350 (1.12%)\n", "chirp-crow-t1_cfg_steps_480: 10345 (1.12%)\n", "chirp-crow-t1_temp_s_85: 10242 (1.11%)\n", "chirp-crow-t1_temp_s_80: 10242 (1.11%)\n", "chirp-ahi-up-3: 6232 (0.68%)\n", "chirp-carp-up-1_step_8: 4767 (0.52%)\n", "chirp-carp-up-1_noise_l_5: 4561 (0.50%)\n", "chirp-bluejay-engine-b: 4062 (0.44%)\n", "chirp-bass-up-3: 4016 (0.44%)\n", "chirp-v3p5-engine-t-6: 3834 (0.42%)\n", "chirp-v3p5-engine-s-8_min_p_005: 2796 (0.30%)\n", "chirp-v4-h-s-32: 2386 (0.26%)\n", "chirp-ahi-stem-12-t1: 1502 (0.16%)\n", "chirp-v4-h-t-6: 1080 (0.12%)\n", "chirp-v3p5-engine-b: 1014 (0.11%)\n", "chirp-carp-up-c-2: 746 (0.08%)\n", "chirp-carp-up-1_variation_2: 734 (0.08%)\n", "chirp-auk-engine-b: 674 (0.07%)\n", "chirp-carp-up-1_variation_3: 602 (0.07%)\n", "chirp-v4-up-u-d-2-5: 392 (0.04%)\n", "chirp-carp-up-1_variation_1: 364 (0.04%)\n", "chirp-auk-infill: 292 (0.03%)\n", "chirp-v4-h-s-32_text_1: 268 (0.03%)\n", "chirp-ahi-stem-12-t1_noise_l_25: 235 (0.03%)\n", "chirp-ahi-stem-12-t1_step_6: 198 (0.02%)\n", "chirp-ahi-stem-12-t1_noise_l_5: 191 (0.02%)\n", "chirp-v3p5-engine-upload-4: 96 (0.01%)\n", "chirp-v3p5-engine-b-tau: 70 (0.01%)\n", "chirp-crow-t2: 68 (0.01%)\n", "chirp-v4-engine-b: 42 (0.00%)\n", "chirp-v3p5-engine-s-8_onebox_lyrics: 34 (0.00%)\n", "chirp-v4-engine-b-tau: 20 (0.00%)\n", "chirp-v4-h-s-32_mask_control_slider: 16 (0.00%)\n", "chirp-v3p5-engine-s-8_mask_control_slider: 9 (0.00%)\n", "chirp-v4-h-s-32_onebox_lyrics: 2 (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 (\n", " model_name.startswith(\"chirp-v3p5-engine-t\")\n", " or model_name.startswith(\"chirp-v3p5-engine-s\")\n", " or model_name.startswith(\"chirp-v4\")\n", " or model_name.startswith(\"chirp-v3p5-h-s-31\")\n", " or model_name.startswith(\"chirp-auk\")\n", " or model_name.startswith(\"chirp-bluejay\")\n", " or model_name.startswith(\"chirp-crow\")\n", " or model_name.startswith(\"chirp-ahi\")\n", " or model_name.startswith(\"chirp-bass\")\n", " or model_name.startswith(\"chirp-carp\")\n", " ) and (not model_name.endswith(\"-b\")):\n", " if \"param_experiment\" in metadata:\n", " exp = metadata.get(\"param_experiment\", \"\")\n", " if exp:\n", " if exp == \"mask_control_slider\" and not metadata.get(\"control_sliders\", None):\n", " return model_name\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": 56, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:34:43.105328Z", "iopub.status.busy": "2025-09-24T12:34:43.105038Z", "iopub.status.idle": "2025-09-24T12:34:56.298846Z", "shell.execute_reply": "2025-09-24T12:34:56.298327Z", "shell.execute_reply.started": "2025-09-24T12:34:43.105314Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "len pos models: 460195\n", "differing counts: 199165\n", "chirp-ahi-stem-12-t1_noise_l_25_win_over_chirp-ahi-stem-12-t1, win ratio 0.538, (0.448, 0.629), counts 63, total 117.\n", "chirp-ahi-stem-12-t1_noise_l_25_win_over_chirp-ahi-stem-12-t1_noise_l_25, win ratio 1.000, (1.000, 1.000), counts 59, total 59.\n", "chirp-ahi-stem-12-t1_noise_l_5_win_over_chirp-ahi-stem-12-t1, win ratio 0.457, (0.362, 0.552), counts 48, total 105.\n", "chirp-ahi-stem-12-t1_noise_l_5_win_over_chirp-ahi-stem-12-t1_noise_l_5, win ratio 1.000, (1.000, 1.000), counts 43, total 43.\n", "chirp-ahi-stem-12-t1_step_6_win_over_chirp-ahi-stem-12-t1, win ratio 0.568, (0.478, 0.657), counts 67, total 118.\n", "chirp-ahi-stem-12-t1_step_6_win_over_chirp-ahi-stem-12-t1_step_6, win ratio 1.000, (1.000, 1.000), counts 40, total 40.\n", "chirp-ahi-stem-12-t1_win_over_chirp-ahi-stem-12-t1, win ratio 1.000, (1.000, 1.000), counts 581, total 581.\n", "chirp-ahi-stem-12-t1_win_over_chirp-ahi-stem-12-t1_noise_l_25, win ratio 0.462, (0.371, 0.552), counts 54, total 117.\n", "chirp-ahi-stem-12-t1_win_over_chirp-ahi-stem-12-t1_noise_l_5, win ratio 0.543, (0.448, 0.638), counts 57, total 105.\n", "chirp-ahi-stem-12-t1_win_over_chirp-ahi-stem-12-t1_step_6, win ratio 0.432, (0.343, 0.522), counts 51, total 118.\n", "chirp-ahi-up-3_win_over_chirp-ahi-up-3, win ratio 1.000, (1.000, 1.000), counts 3116, total 3116.\n", "chirp-auk-engine-b_win_over_chirp-auk-engine-b, win ratio 1.000, (1.000, 1.000), counts 337, total 337.\n", "chirp-auk-infill_win_over_chirp-auk-infill, win ratio 1.000, (1.000, 1.000), counts 146, total 146.\n", "chirp-auk-t1_win_over_chirp-auk-t1, win ratio 1.000, (1.000, 1.000), counts 7252, total 7252.\n", "chirp-bass-up-3_win_over_chirp-bass-up-3, win ratio 1.000, (1.000, 1.000), counts 2008, total 2008.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 2031, total 2031.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 40729, total 40729.\n", "chirp-carp-up-1_noise_l_5_win_over_chirp-carp-up-1, win ratio 0.503, (0.488, 0.517), counts 2293, total 4561.\n", "chirp-carp-up-1_step_8_win_over_chirp-carp-up-1, win ratio 0.492, (0.478, 0.507), counts 2347, total 4767.\n", "chirp-carp-up-1_variation_1_win_over_chirp-carp-up-1, win ratio 0.610, (0.560, 0.660), counts 222, total 364.\n", "chirp-carp-up-1_variation_2_win_over_chirp-carp-up-1, win ratio 0.719, (0.687, 0.752), counts 528, total 734.\n", "chirp-carp-up-1_variation_3_win_over_chirp-carp-up-1, win ratio 0.626, (0.588, 0.665), counts 377, total 602.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1, win ratio 1.000, (1.000, 1.000), counts 12368, total 12368.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1_noise_l_5, win ratio 0.497, (0.483, 0.512), counts 2268, total 4561.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1_step_8, win ratio 0.508, (0.493, 0.522), counts 2420, total 4767.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1_variation_1, win ratio 0.390, (0.340, 0.440), counts 142, total 364.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1_variation_2, win ratio 0.281, (0.248, 0.313), counts 206, total 734.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1_variation_3, win ratio 0.374, (0.335, 0.412), counts 225, total 602.\n", "chirp-carp-up-1_win_over_chirp-carp-up-c-2, win ratio 0.689, (0.656, 0.722), counts 514, total 746.\n", "chirp-carp-up-c-2_win_over_chirp-carp-up-1, win ratio 0.311, (0.278, 0.344), counts 232, total 746.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 14549, total 14549.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1, win ratio 0.500, (0.493, 0.507), counts 10516, total 21040.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1_cfg_steps_10, win ratio 1.000, (1.000, 1.000), counts 4, total 4.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1, win ratio 0.495, (0.488, 0.501), counts 10330, total 20883.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1_cfg_steps_30, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1, win ratio 0.502, (0.493, 0.512), counts 5195, total 10339.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1_cfg_steps_480, win ratio 1.000, (1.000, 1.000), counts 3, total 3.\n", "chirp-crow-t1_mask_control_slider_win_over_chirp-crow-t1, win ratio 0.591, (0.586, 0.596), counts 22310, total 37760.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1, win ratio 0.496, (0.489, 0.503), counts 10392, total 20942.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1_cfg_steps_10, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 1.000, (1.000, 1.000), counts 4, total 4.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1, win ratio 0.500, (0.490, 0.509), counts 5271, total 10543.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1_n_tag_3, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_tag_cfg_05_win_over_chirp-crow-t1, win ratio 0.505, (0.496, 0.515), counts 5326, total 10544.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1, win ratio 0.473, (0.463, 0.482), counts 5024, total 10623.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1_tag_cfg_20, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1, win ratio 0.501, (0.491, 0.510), counts 5181, total 10346.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1_temp_s_100, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1, win ratio 0.492, (0.482, 0.502), counts 5037, total 10240.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1_temp_s_80, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1, win ratio 0.500, (0.491, 0.510), counts 5123, total 10238.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1_temp_s_85, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1, win ratio 0.498, (0.488, 0.508), counts 5211, total 10465.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1_temp_s_95, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_win_over_chirp-crow-t1, win ratio 1.000, (1.000, 1.000), counts 162344, total 162344.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_10, win ratio 0.500, (0.493, 0.507), counts 10524, total 21040.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_30, win ratio 0.505, (0.499, 0.512), counts 10553, total 20883.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_480, win ratio 0.498, (0.488, 0.507), counts 5144, total 10339.\n", "chirp-crow-t1_win_over_chirp-crow-t1_mask_control_slider, win ratio 0.409, (0.404, 0.414), counts 15450, total 37760.\n", "chirp-crow-t1_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 0.504, (0.497, 0.511), counts 10550, total 20942.\n", "chirp-crow-t1_win_over_chirp-crow-t1_n_tag_3, win ratio 0.500, (0.491, 0.510), counts 5272, total 10543.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_05, win ratio 0.495, (0.485, 0.504), counts 5218, total 10544.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_20, win ratio 0.527, (0.518, 0.537), counts 5599, total 10623.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_100, win ratio 0.499, (0.490, 0.509), counts 5165, total 10346.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_80, win ratio 0.508, (0.498, 0.518), counts 5203, total 10240.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_85, win ratio 0.500, (0.490, 0.509), counts 5115, total 10238.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_95, win ratio 0.502, (0.492, 0.512), counts 5254, total 10465.\n", "chirp-crow-t2_win_over_chirp-crow-t2, win ratio 1.000, (1.000, 1.000), counts 34, total 34.\n", "chirp-v3p5-engine-b-tau_win_over_chirp-v3p5-engine-b-tau, win ratio 1.000, (1.000, 1.000), counts 35, total 35.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 507, total 507.\n", "chirp-v3p5-engine-s-8_mask_control_slider_win_over_chirp-v3p5-engine-s-8, win ratio 0.444, (0.120, 0.769), counts 4, total 9.\n", "chirp-v3p5-engine-s-8_min_p_005_win_over_chirp-v3p5-engine-s-8, win ratio 0.499, (0.480, 0.517), counts 1393, total 2794.\n", "chirp-v3p5-engine-s-8_min_p_005_win_over_chirp-v3p5-engine-s-8_min_p_005, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8_onebox_lyrics_win_over_chirp-v3p5-engine-s-8_onebox_lyrics, win ratio 1.000, (1.000, 1.000), counts 17, total 17.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 11027, total 11027.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8_mask_control_slider, win ratio 0.556, (0.231, 0.880), counts 5, total 9.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8_min_p_005, win ratio 0.501, (0.483, 0.520), counts 1401, total 2794.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 1917, total 1917.\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, (1.000, 1.000), counts 48, total 48.\n", "chirp-v4-engine-b-tau_win_over_chirp-v4-engine-b-tau, win ratio 1.000, (1.000, 1.000), counts 10, total 10.\n", "chirp-v4-engine-b_win_over_chirp-v4-engine-b, win ratio 1.000, (1.000, 1.000), counts 21, total 21.\n", "chirp-v4-h-s-32_mask_control_slider_win_over_chirp-v4-h-s-32, win ratio 0.562, (0.319, 0.806), counts 9, total 16.\n", "chirp-v4-h-s-32_onebox_lyrics_win_over_chirp-v4-h-s-32_onebox_lyrics, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v4-h-s-32_text_1_win_over_chirp-v4-h-s-32, win ratio 0.463, (0.403, 0.522), counts 124, total 268.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32, win ratio 1.000, (1.000, 1.000), counts 1051, total 1051.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32_mask_control_slider, win ratio 0.438, (0.194, 0.681), counts 7, total 16.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32_text_1, win ratio 0.537, (0.478, 0.597), counts 144, total 268.\n", "chirp-v4-h-t-6_win_over_chirp-v4-h-t-6, win ratio 1.000, (1.000, 1.000), counts 540, total 540.\n", "chirp-v4-up-u-d-2-5_win_over_chirp-v4-up-u-d-2-5, win ratio 1.000, (1.000, 1.000), counts 196, total 196.\n", "tournament players: ['chirp-ahi-stem-12-t1', 'chirp-ahi-stem-12-t1_noise_l_25', 'chirp-ahi-stem-12-t1_noise_l_5', 'chirp-ahi-stem-12-t1_step_6', 'chirp-carp-up-1', 'chirp-carp-up-1_noise_l_5', 'chirp-carp-up-1_step_8', 'chirp-carp-up-1_variation_1', 'chirp-carp-up-1_variation_2', 'chirp-carp-up-1_variation_3', 'chirp-carp-up-c-2', 'chirp-crow-t1', 'chirp-crow-t1_cfg_steps_10', 'chirp-crow-t1_cfg_steps_30', 'chirp-crow-t1_cfg_steps_480', 'chirp-crow-t1_mask_control_slider', 'chirp-crow-t1_max_tag_len_1024', 'chirp-crow-t1_n_tag_3', 'chirp-crow-t1_tag_cfg_05', 'chirp-crow-t1_tag_cfg_20', 'chirp-crow-t1_temp_s_100', 'chirp-crow-t1_temp_s_80', 'chirp-crow-t1_temp_s_85', 'chirp-crow-t1_temp_s_95', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-s-8_mask_control_slider', 'chirp-v3p5-engine-s-8_min_p_005', 'chirp-v4-h-s-32', 'chirp-v4-h-s-32_mask_control_slider', 'chirp-v4-h-s-32_text_1']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:09<00:00, 106.97it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-ahi-stem-12-t1: 990.0, (962, 1015)\n", "chirp-ahi-stem-12-t1_noise_l_25: 1011.2, (962, 1070)\n", "chirp-ahi-stem-12-t1_noise_l_5: 973.5, (908, 1011)\n", "chirp-ahi-stem-12-t1_step_6: 1025.5, (982, 1090)\n", "chirp-carp-up-1: 974.5, (964, 981)\n", "chirp-carp-up-1_noise_l_5: 976.7, (963, 988)\n", "chirp-carp-up-1_step_8: 969.6, (955, 980)\n", "chirp-carp-up-1_variation_1: 1044.9, (1022, 1084)\n", "chirp-carp-up-1_variation_2: 1126.0, (1111, 1163)\n", "chirp-carp-up-1_variation_3: 1057.8, (1039, 1088)\n", "chirp-carp-up-c-2: 849.3, (810, 859)\n", "chirp-crow-t1: 997.2, (995, 999)\n", "chirp-crow-t1_cfg_steps_10: 997.0, (993, 1001)\n", "chirp-crow-t1_cfg_steps_30: 993.5, (989, 998)\n", "chirp-crow-t1_cfg_steps_480: 998.9, (993, 1005)\n", "chirp-crow-t1_mask_control_slider: 1060.9, (1057, 1064)\n", "chirp-crow-t1_max_tag_len_1024: 994.6, (990, 999)\n", "chirp-crow-t1_n_tag_3: 997.1, (991, 1004)\n", "chirp-crow-t1_tag_cfg_05: 1000.7, (994, 1007)\n", "chirp-crow-t1_tag_cfg_20: 978.5, (972, 985)\n", "chirp-crow-t1_temp_s_100: 997.7, (991, 1004)\n", "chirp-crow-t1_temp_s_80: 991.6, (985, 998)\n", "chirp-crow-t1_temp_s_85: 997.4, (991, 1004)\n", "chirp-crow-t1_temp_s_95: 995.8, (989, 1002)\n", "chirp-v3p5-engine-s-8: 1002.2, (908, 1118)\n", "chirp-v3p5-engine-s-8_mask_control_slider: 996.7, (762, 1187)\n", "chirp-v3p5-engine-s-8_min_p_005: 1001.2, (907, 1117)\n", "chirp-v4-h-s-32: 1007.1, (916, 1061)\n", "chirp-v4-h-s-32_mask_control_slider: 1008.0, (908, 1186)\n", "chirp-v4-h-s-32_text_1: 985.0, (888, 1040)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", " chirp-crow-t1 (12 comparisons)\n", " chirp-carp-up-1 (6 comparisons)\n", " chirp-ahi-stem-12-t1 (3 comparisons)\n", " chirp-v3p5-engine-s-8 (2 comparisons)\n", " chirp-v4-h-s-32 (2 comparisons)\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "get_preference_counts(user_intersting_clips_3p5)" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:02.332947Z", "start_time": "2024-05-26T00:25:02.010694Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:34:56.299539Z", "iopub.status.busy": "2025-09-24T12:34:56.299379Z", "iopub.status.idle": "2025-09-24T12:35:00.864377Z", "shell.execute_reply": "2025-09-24T12:35:00.863852Z", "shell.execute_reply.started": "2025-09-24T12:34:56.299526Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "first gen\n", "len pos models: 246565\n", "differing counts: 112724\n", "chirp-auk-engine-b_win_over_chirp-auk-engine-b, win ratio 1.000, (1.000, 1.000), counts 204, total 204.\n", "chirp-auk-t1_win_over_chirp-auk-t1, win ratio 1.000, (1.000, 1.000), counts 4725, total 4725.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 1329, total 1329.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 22535, total 22535.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 9510, total 9510.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1, win ratio 0.493, (0.484, 0.501), counts 6750, total 13701.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1_cfg_steps_10, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1, win ratio 0.495, (0.487, 0.504), counts 6707, total 13539.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1, win ratio 0.503, (0.491, 0.515), counts 3377, total 6709.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1_cfg_steps_480, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_mask_control_slider_win_over_chirp-crow-t1, win ratio 0.543, (0.536, 0.551), counts 8182, total 15055.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1, win ratio 0.494, (0.485, 0.502), counts 6698, total 13566.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1, win ratio 0.494, (0.482, 0.506), counts 3388, total 6856.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1_n_tag_3, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_tag_cfg_05_win_over_chirp-crow-t1, win ratio 0.493, (0.481, 0.505), counts 3390, total 6873.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1, win ratio 0.484, (0.472, 0.495), counts 3331, total 6888.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1, win ratio 0.502, (0.490, 0.514), counts 3343, total 6659.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1, win ratio 0.500, (0.488, 0.512), counts 3294, total 6584.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1, win ratio 0.505, (0.493, 0.517), counts 3346, total 6624.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1_temp_s_85, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1, win ratio 0.495, (0.483, 0.507), counts 3352, total 6770.\n", "chirp-crow-t1_win_over_chirp-crow-t1, win ratio 1.000, (1.000, 1.000), counts 83672, total 83672.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_10, win ratio 0.507, (0.499, 0.516), counts 6951, total 13701.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_30, win ratio 0.505, (0.496, 0.513), counts 6832, total 13539.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_480, win ratio 0.497, (0.485, 0.509), counts 3332, total 6709.\n", "chirp-crow-t1_win_over_chirp-crow-t1_mask_control_slider, win ratio 0.457, (0.449, 0.464), counts 6873, total 15055.\n", "chirp-crow-t1_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 0.506, (0.498, 0.515), counts 6868, total 13566.\n", "chirp-crow-t1_win_over_chirp-crow-t1_n_tag_3, win ratio 0.506, (0.494, 0.518), counts 3468, total 6856.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_05, win ratio 0.507, (0.495, 0.519), counts 3483, total 6873.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_20, win ratio 0.516, (0.505, 0.528), counts 3557, total 6888.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_100, win ratio 0.498, (0.486, 0.510), counts 3316, total 6659.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_80, win ratio 0.500, (0.488, 0.512), counts 3290, total 6584.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_85, win ratio 0.495, (0.483, 0.507), counts 3278, total 6624.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_95, win ratio 0.505, (0.493, 0.517), counts 3418, total 6770.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 421, total 421.\n", "chirp-v3p5-engine-s-8_mask_control_slider_win_over_chirp-v3p5-engine-s-8, win ratio 0.500, (0.154, 0.846), counts 4, total 8.\n", "chirp-v3p5-engine-s-8_min_p_005_win_over_chirp-v3p5-engine-s-8, win ratio 0.497, (0.478, 0.516), counts 1326, total 2668.\n", "chirp-v3p5-engine-s-8_min_p_005_win_over_chirp-v3p5-engine-s-8_min_p_005, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-s-8_onebox_lyrics_win_over_chirp-v3p5-engine-s-8_onebox_lyrics, win ratio 1.000, (1.000, 1.000), counts 17, total 17.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 10554, total 10554.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8_mask_control_slider, win ratio 0.500, (0.154, 0.846), counts 4, total 8.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8_min_p_005, win ratio 0.503, (0.484, 0.522), counts 1342, total 2668.\n", "chirp-v4-engine-b_win_over_chirp-v4-engine-b, win ratio 1.000, (1.000, 1.000), counts 13, total 13.\n", "chirp-v4-h-s-32_mask_control_slider_win_over_chirp-v4-h-s-32, win ratio 0.429, (0.062, 0.795), counts 3, total 7.\n", "chirp-v4-h-s-32_onebox_lyrics_win_over_chirp-v4-h-s-32_onebox_lyrics, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v4-h-s-32_text_1_win_over_chirp-v4-h-s-32, win ratio 0.452, (0.385, 0.518), counts 98, total 217.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32, win ratio 1.000, (1.000, 1.000), counts 853, total 853.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32_mask_control_slider, win ratio 0.571, (0.205, 0.938), counts 4, total 7.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32_text_1, win ratio 0.548, (0.482, 0.615), counts 119, total 217.\n", "tournament players: ['chirp-crow-t1', 'chirp-crow-t1_cfg_steps_10', 'chirp-crow-t1_cfg_steps_30', 'chirp-crow-t1_cfg_steps_480', 'chirp-crow-t1_mask_control_slider', 'chirp-crow-t1_max_tag_len_1024', 'chirp-crow-t1_n_tag_3', 'chirp-crow-t1_tag_cfg_05', 'chirp-crow-t1_tag_cfg_20', 'chirp-crow-t1_temp_s_100', 'chirp-crow-t1_temp_s_80', 'chirp-crow-t1_temp_s_85', 'chirp-crow-t1_temp_s_95', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-s-8_mask_control_slider', 'chirp-v3p5-engine-s-8_min_p_005', 'chirp-v4-h-s-32', 'chirp-v4-h-s-32_mask_control_slider', 'chirp-v4-h-s-32_text_1']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 395.93it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-crow-t1: 999.9, (998, 1002)\n", "chirp-crow-t1_cfg_steps_10: 994.8, (990, 1001)\n", "chirp-crow-t1_cfg_steps_30: 996.7, (991, 1002)\n", "chirp-crow-t1_cfg_steps_480: 1002.2, (994, 1010)\n", "chirp-crow-t1_mask_control_slider: 1030.1, (1025, 1036)\n", "chirp-crow-t1_max_tag_len_1024: 995.5, (990, 1001)\n", "chirp-crow-t1_n_tag_3: 995.8, (988, 1003)\n", "chirp-crow-t1_tag_cfg_05: 995.2, (988, 1003)\n", "chirp-crow-t1_tag_cfg_20: 988.5, (980, 996)\n", "chirp-crow-t1_temp_s_100: 1001.3, (994, 1009)\n", "chirp-crow-t1_temp_s_80: 1000.1, (992, 1008)\n", "chirp-crow-t1_temp_s_85: 1003.4, (996, 1011)\n", "chirp-crow-t1_temp_s_95: 996.5, (989, 1005)\n", "chirp-v3p5-engine-s-8: 1001.0, (885, 1105)\n", "chirp-v3p5-engine-s-8_mask_control_slider: 1000.0, (794, 1251)\n", "chirp-v3p5-engine-s-8_min_p_005: 999.0, (883, 1102)\n", "chirp-v4-h-s-32: 1016.2, (922, 1544)\n", "chirp-v4-h-s-32_mask_control_slider: 999.0, (-16, 1199)\n", "chirp-v4-h-s-32_text_1: 984.7, (879, 1501)\n" ] }, { "data": { "image/png": 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LsttmtUuy22a1C8gPg2mgFJQvX16HDx/2vr906VKFhISoffv23tvCwsKUnp7uwOpQVOnpXBk52FjeM6ttVrsku21Wuyxjz4KP5T2jLfhY7ZLstlntkuy2We0C8sNgGigFDRo00MKFC3Xo0CEdPXpUn376qS644AKfc07v2bNHVapUcXCVKKyQEJfTS0ARWd4zq21WuyS7bVa7LGPPgo/lPaMt+Fjtkuy2We2S7LZZ7QLyw2AaKAWDBg3S/v371b17d1100UVKTk7WjTfe6HPM2rVr1bRpU4dWiKKIiuLKyMHG8p5ZbbPaJdlts9plGXsWfCzvGW3Bx2qXZLfNapdkt81qF5CfMKcXAFh0+eWX67HHHtPs2bMlSVdddZX69evnvX/ZsmVKTU1Vt27dnFoiAKCUpKSeUMqxP38NMyoqXMePu73vx5eLUHz5SCeWBgAAAAABg8E0UEpuuukm3XTTTXne16FDBy1fvtzPKwIA+MOcdXs1fUn+F7cd1rmOhnep578FAQgaPLEFAADKEgbTQCmYMmWKOnbsqISEhHyPWbFihX766SeNGDHCjytDcWRnc2nkYGN5z6y2Werq17KGLmx48hoC2w+k6dEvNmr8FU1Ur0qMpJODJQss7VlZwZ4FvrL0xJblr0erbVa7JLttVrsku21Wu4D8MJgGSsGUKVMk6YyD6eXLl2vq1KkMpoPAqa9UQnCwvGdW2yx1xZePzPWKxnpVYtS0egWHVlQ6LO1ZWcGeBb6y8sSWZPvr0Wqb1S7JbpvVLslum9UuID8MpgGHuN1uhYaGOr0MFEJYWIgyM7OdXgaKwPKeWW2z2mUZexZ82LPAV1ae2JJsfz1abbPaJdlts9ol2W2z2gXkJ8TpBQBWuVyufO/LyMjQihUrVLlyZT+uCMUVEcFzeMHG8p5ZbbPaZRl7FnzYMwQSy1+PVtusdkl226x2SXbbrHYB+eErHighPXr08Hn/zTff1Jw5c3Idl52drUOHDunEiRPq37+/v5YHAAAAAAAABAwG00AJ8Xj+vEiBy+WSx+PxuS1HWFiYzjvvPHXq1El33nmnP5cIAAAAAAAABAQG00AJ+fbbb71vN23aVIMHD+bChkZkZXGOr2Bjec+stlntsow9Cz7sGQKJ5a9Hq21WuyS7bVa7JLttVruA/DCYBkrBggULVLFiRaeXgRJy4kSm00tAEVneM6ttVrssY8+CD3uGQGL569Fqm9UuyW6b1S7JbpvVLiA/XPwQKAW1atVShQonr56emZmpzZs3a/Xq1dq8ebMyM/lBE2zCw0OdXgKKyPKeWW2z2mUZexZ82DMEEstfj1bbrHZJdtusdkl226x2AfnhFdNAKTl8+LAmTZqkTz/9VCdOnPDeHhUVpauvvlr33XefKlWq5OAKUVjh4aFyu7OcXgaKwPKeWW2z2mUZexZ82DMEEstfj1bbrHZJdtusdkl226x2AflhMA2UgsOHD2vAgAFKSkpSbGys2rVrp2rVqik5OVnr16/XBx98oGXLlmnWrFmKi4tzerkAAAAAAACAXzGYBkrBv//9byUlJWnIkCG66667FBMT470vPT1d//73vzV9+nS98soreuihhxxcKQAAAAAAAOB/nGMaKAULFixQhw4d9MADD/gMpSUpOjpao0aNUocOHfTNN984tEIURWYmv0oVbCzvmdU2q12WsWfBhz1DILH89Wi1zWqXZLfNapdkt81qF5AfBtNAKdi/f7/atGlzxmPatGmj/fv3+2lFOBsZGfzlINhY3jOrbVa7LGPPgg97hkBi+evRapvVLslum9UuyW6b1S4gPwymgVJQoUIF7d69+4zH7N69WxUqVPDTinA2IiK4MnKwsbxnVtusdlnGngUf9gyBxPLXo9U2q12S3TarXZLdNqtdQH4YTAOlICEhQV9++aV+/PHHPO9fsmSJvvzyS3Xo0MHPK0NxhIXxl4NgY3nPrLZZ7bKMPQs+7BkCieWvR6ttVrsku21WuyS7bVa7gPxw8UOgFIwYMUKLFi3SkCFD1L17dyUkJKhKlSo6cOCAli1bpu+++05RUVG66667nF4qAAAAAAAA4HcMpoFS0KhRI/33v//VmDFj9H//93/6v//7P7lcLnk8HklSnTp19Mwzz6hRo0YOrxQAAAAAAADwPwbTQClp3769vv76a61cuVKJiYlKTU1V+fLl1axZM7Vr104ul8vpJaKQ3G4uQBFsLO+Z1TarXZaxZ8GHPUMgsfz1aLXNapdkt81ql2S3zWoXkB8G00Apcrlcat++vdq3b+/0UlBEaRlZemflLn20bq9SjmUovlyE+rasoZvanasYLkgR8Cz/hc5qm9Uuy9iz4MOeIZBY/nq02ma1S7LbZrVLsttmtQvIDxc/BEpZZmamNm/erNWrV2vz5s3KzMx0ekkowM5D6Rr81ipN+zFJ+1MzlO2R9qdmaNqPSRr81irtPJTu9BJRgMhIu8+7Wm2z2mUZexZ82DMEEstfj1bbrHZJdtusdkl226x2AfnhKx4oJYcPH9akSZP06aef6sSJE97bo6KidPXVV+u+++5TpUqVHFwh8vP015u0PY/hs0fS9kPpevrrTXplQCv/LwyFFhpq93lXq21Wuyxjz4IPe4ZAYvnr0Wqb1S7JbpvVLslum9UuID8MpoFScPjwYQ0YMEBJSUmKjY1Vu3btVK1aNSUnJ2v9+vX64IMPtGzZMs2aNUtxcXFOLxen2X4w7azuBwAAAAAAwJkxmAZKwb///W8lJSVpyJAhuuuuuxQTE+O9Lz09Xf/+9781ffp0vfLKK3rooYccXCnycijdfVb3B7qc82e/v3q3JOnuD3/W9W1qcf5sAAAAAADgN/yOAFAKFixYoA4dOuiBBx7wGUpLUnR0tEaNGqUOHTrom2++cWiFOJNK0eFndX8gS8vI0m2z1mr6kiQdSj95vvND6ZmaviRJt81aq7QMGxfbyMiwey53q21Wuyxjz4IPe4ZAYvnr0Wqb1S7JbpvVLslum9UuID8MpoFSsH//frVp0+aMx7Rp00b79+/304pQFPUqx5zV/YHsnZW7tCk5Vdke39uzPdKm5FS9s3KXMwsrYZmZ2U4vodRYbbPaZRl7FnzYMwQSy1+PVtusdkl226x2SXbbrHYB+WEwDZSCChUqaPfu3Wc8Zvfu3apQoYKfVoSiePiyxqpXKVqu0253SapXKVoPX9bYiWWViI/W7c01lM6R7Tl5vwVRUcH7qvaCWG2z2mUZexZ82DMEEstfj1bbrHZJdtusdkl226x2AflhMA2UgoSEBH355Zf68ccf87x/yZIl+vLLL9WhQwc/rwyFUbtStN4c2FbDu9RVtfIRCnFJ1cpHaHiXunpzYFvVrhTt9BKLLeVYxlndHyxCQk5/WsEOq21Wuyxjz4IPe4ZAYvnr0Wqb1S7JbpvVLslum9UuID9c/BAoBSNGjNCiRYs0ZMgQde/eXQkJCapSpYoOHDigZcuW6bvvvlNUVJTuuusup5eKfMREhGpo57oa2rmuYmIilJZmY2AbXy5C+1Pzb4kvF+HH1ZSclNQT2nX4uL5I3KeFm1N0OD1TcdFhurhRvK5oVl3nxkUpvnyk08sstpwLVn60bq9SjmUovlyE+rasEfQXrLTaJXGRUQAAAAAoiMvj8eTzS90AzsaKFSs0ZswY7dy5U5LkcrmU8+1Wp04dPfPMM2rXrl2xHnv58uV67bXXtH79eiUnJ2vq1Knq2bOn936Px6PJkyfrgw8+0NGjR9W2bVs98cQTqlevnveYw4cPa/z48Vq4cKFCQkJ02WWX6eGHH1a5cuW8x2zYsEHjxo3Tzz//rMqVK2vgwIEaNmxYkdebkvKHgvlPGkuD6f8uSdL0JUl5ns4jxCUN+//D+GAzdfE2vbFsZ773/71Dbd3Vrb4fV1Rydh5K130frVfSoXSdum0uSXUrRevFvs2D8lX8VrukPy8yevr53ENcUuOq5fXqgFZBOZwuK08Avb96tw6lZ6pSdJiJJxPKyhNAFvfMWtfpLP396nRW26x2SXbbrHZJdtusdm3Y94cGvbVaMwe2UdPqwXlKU5dLio8PzrUHMgbTQCnyeDxauXKlEhMTlZqaqvLly6tZs2Zq166dXK7i/4rOokWLtGrVKjVv3lwjRozINZieNm2apk2bpmeffVbnnnuuXn75ZW3atEmff/65IiNPDg2GDh2q5ORkjRs3Tm63W2PHjlWLFi30wgsvSJJSU1N1+eWXq3Pnzrrtttu0adMmjR07VmPHjtWAAQOKtN5gH0yHhLiUnd+JmYOM1YHZy4u26u0Vu5XXLrkk/a19Ld3TvaG/l1Uibp+1Vit3Hcn3/nbnxuqVAa38uKKSYbVL4gmgYGT1z0arXZLdNqtdOaw+UWL5iTureybZbbPaJdluy2Hp356nYjCN/HAqD6AUuVwutW/fXu3bty/Rx+3evbu6d++e530ej0czZszQHXfc4R1WP/fcc+rSpYvmz5+vq666Slu3btXixYs1e/ZstWjRQpL0yCOPaPjw4Ro9erSqV6+ujz/+WG63WxMmTFBERIQaNWqkxMREvf7660UeTAc7S38xiIkI1asDWpl7JdbXG5LzHEpLkuf/3x+sg+ntB9PO6v5AZbVLKtxFRoNxMJ2ZnS2XlO8TQJnZwXsV+XdW7so1CJRO7tem5FS9s3JXUO7Z9CXbtXF/aq49y/ZIG/enavqS7UH7Z6PVPbPaJeX9mzL7UzM07cckfZW4P6h/U2bW6j25nrg7lJ6pOet+15x1vwftE3eW98xqm9UuKe8n7vanZmj6kiQt2nIg6J+4y2Hp355AYXDxQ6CUHTp0SEuWLNE333yjJUuW6NChQ6X6+Xbt2qXk5GR16dLFe1uFChXUqlUrrV69WpK0evVqVaxY0TuUlqQuXbooJCRE69atkyStWbNG7du3V0TEn+cc7tq1q7Zt26YjR/J/laNF0dHBefszvOoAAPVASURBVN7l/OScP3vytSf3f/K1LU6eSzuI/yJn+aKOh9LdZ3V/oLLaJdn9eizME0DBqjBPJgSjD9fsPeOefbgmOLsku3tmtUuSnv56k7afdvom6eTX4vZD6Xr6601OLKtE5Dxxl5dgfuLO8p5ZbbPaJf35ZGteT9zlPNkarNIysvTfJUm66tWf1PHF73TVqz/pv0uSlJaR5fTSgFLHK6aBUrJr1y49/fTTWrRokU49Y47L5dJFF12ksWPH6txzzy3xz5ucfHIwUKVKFZ/bq1SpopSUFElSSkqKKleu7HN/WFiYYmNjvR+fkpKSa33x8fHe+2JjYwu9plMHu5mZWcrIyFJERKjCwv4chLrdWXK7sxQZGabQ0D+fM8vIyFRmZraiosJ9rlB8/Lhb2dkeRUdH6NSzoqSnu+XxeBQT4ztMTkvLkMvlUnR0uPc2j0dKT89QSIhLUVF/3p6d7dHx426FhYUoIiJM4eGhcrkilJWVrRMnMhUeHqrw8D/XHoxNknzuD/amyjERZxz2VY6JUEREaFA15exT1fKR2vfHiXzb4stFBF1TobrKR/p83mBoyvkzIr58pPafoa3q/28Lpqbw8NBCDdzDw0ODqinnz73CtAVbkySlZ555GJaeme2znmBoyvn5VJg9i4mJCKqmiIjCfZ+FhYUEVVPOz6ekQ+lnbNt+MC3omqSTP58KeuLum40pGnNFs6BqcruzCtyzpEPpiomJCKqmnD/LC/P1KCmomqTCfZ8FW5N08ufTnLVnfrL1o3W/e7/PgqUpMzNb+9MyNOL9ddp+IC3Xq9y/3pisqTe0Ut3K5YKqKa8/y3NERYV7G4K5CSWHwTRQCnbs2KEbb7xRBw4cUN26ddW2bVvFx8crJSVFq1ev1rfffqu1a9fqvffeU+3atZ1ebqlLT8/IdY7pjIyTPxBOd+JEZp6PceoPs9MfOy95XTDC4/HkeXt2dt63Z2ZmKzMzI9cFKHJ+aJ0umJpO//zB3lS3UvQZ/zFft1K0tyNYmnL26dIm8Wc8f/ZlTasGXZNUiK4m8Xk+TiA35ejb4pwznmO6T4tzfB4vGJrc7ixVig7XgbT8X8leKTrc++dIsDTlrDe+XIT2p+b/Z0h8uYiga5KkKjFn3rMqMeF5Pn4gN+UozJ6d+nmCoSkjI6tQXZn//wmHYGnK+fl0sICLeR1KdwddU46CnlBITj2R63MHepNU8J4dTMvw+fzB0JTzZ3lhvh6l4GqSCtcVbE050t1nfrI1LSMr15oCvUmSHvskUdsO5D6FnUfStgNpenTerz7XXQmGplP/LD/1gr6SNPztVblOIxksTS6XVK5ccF4vIJBxKg+gFEyaNEkHDx7Uk08+qS+//FLPPPOMRo0apWeeeUZffPGFnnjiCR08eFDPP/98iX/uqlWrSpIOHDjgc/uBAwe8r3iOj4/XwYMHfe7PzMzUkSNHvB+fM0g/Vc77OY8DBIqHL2usepWic/0arUtSvUrReviyxk4sq0SEhYSc8dUhYSHB+aPcapek/8fenYdHWd5vGz8nmQQCARQCKIsbylJlFRcQpSpaFRUQEKwIKhX3fd8RUFxq3bAi1CogisoiIlKrotYFRRFFqtifIqCg7LImZJv3D96MhMXgMJOH58r1OY4eNTMD+Z7HPTMJ98w8D38+tAGNa2ez9ZsqSk5e9udDk/9pmfKwX80qu3T97qxbi723Wa8SaZHN14dRj1b1frOrR6t65TtQEqmumWoXbH7xaleu352ptuVU/e3D2ZV1/e7MaxY+Nav89pqUdf3uSvm8KyXHBR85YyGrczdv+K7OLWTkjIVc+MIXPlSJAd6YNkuJGTNmcNxxx9GrVy8ikdL/uohEIvTu3Zs//vGPzJgxI+nfu0GDBtSuXbvU371+/Xq++OILWrduDUDr1q1Zu3Ytc+fOjd/mo48+ori4mBYtWgDQqlUrPv30UwoKfn2188MPP2T//ff/XYfxUJAb4mPdVhQN98xiVJ82DGi/L3WyM0mLQJ3sTAa035dRfdqE9iQvAL1a12Nkr5ac0WIv9syKEgH2zIpyRou9GNmrJb1ah3NjSbULfj3J6AXt9mXPrM0fTtszK8oF7fYN9Yl5lF8AUn0xQbULdNtUu0D7xS3VthOb1v7NY2ef2LR2eY6TVF6z8FFdM+XzruzMCX3NfCgPsxQoKiriwAMP/M3bNG7cmI8//jihv3/Dhg0sWrQo/vWPP/7I119/TY0aNahXrx59+/bliSeeYN9996VBgwY88sgj1KlTh06dOgHQqFEjjj76aG6//XbuuusuCgoKGDx4MJ07d6Zu3boAnHbaaTz++OPceuutXHDBBfzf//0fo0eP5uabb05o5jCLbX0cEtstlZzU8S/t9g16lKTKya5ETnYlWjWowc0nhHfjb2uqXSVK7o8dDqjJOc/O5tHuzWlat1rQY+2SkheAnpv1I5Pm/MSKDfnkVM2kW4u9S30cM4xKXkwo+ajp6txC9syKbvNR07DZsstrFg6qXbD5xa1rJs1l4VYnZouw+ZBbYX5xS7VN+dNNXrPwUV2znTmEU1jtzAl91f7tZr9fJOYdF7OkO+ecc6hevTqPP/74Dm9zySWXsH79ekaPHv27//6PP/6Yvn37bnN5t27duPfee4nFYjz66KO8+OKLrF27lkMPPZQ777yT/fffP37bX375hcGDBzN9+nTS0tI48cQTue2226hatWr8NvPmzWPQoEF8+eWX7LnnnvTp04cBAwb87nlXrFi3zTGmw2TrY0yrmLd0Hec8O5sxfVqHfsNsa6prBrptql1+nIWP1yx8VNdMsavkWKNqL5SAZtuK9Zv48Zc8pn29lLf/bwW/5BayR1aUYw/K4eRmdWmwR2VyssN7vFWvWfgortkj7373m+ddObttfa7s2Ki8x0qKI/72nx1uTMPmTwN9fM0x5TfQLopEICdH4+fx7sTvmDZLgauuuopzzz2Xl156iZ49e25z/QsvvMD777/PM888k9Dff8QRR/DNN9/s8PpIJMKVV17JlVdeucPb7LHHHjz44IO/+X2aNm3Kc889l9CMZmZmZmZb2vLTTWovlCi2bf3pJpWuEl6z8FFcM+V3uSu/G9ySxxvTZkkwbNiwbS474ogjuOOOO/jnP/9JmzZt4icT/Oyzz1iwYAEdOnRgxowZtGnTJoCJzczMzMzMzCxIvVrX46j9a/7mu9zDqluLvRk5Y+F23zUd9hP6WvJ4Y9osCba3MV3i+++/5/vvv9/m8vfee4/333+fSy+9NJWjmZmZmZmZmdluSPld7n8+tAHvfrtymxMgKpzQ15LHG9NmSZDIcaItPFR+MahIlNdMtU21S5nXLHy8ZrY7Ub4/qrapdoFum2oX6LYpdSmf0NeSxxvTZklw+OGHBz2CpVAkEsHniQ0X5TVTbVPtUuY1Cx+vme1OlO+Pqm2qXaDbptoFum1qXSXHBe9wQE3OeXY2j3ZvLnNCX0uO8B5F3cysnGRlZQQ9gv1Oymum2qbapcxrFj5eM9udKN8fVdtUu0C3TbULdNtUu8x2xBvTZmZmZmZmZmZmZlauvDFtZmZmZmZmZmZmZuXKG9NmZmUQOsRXhaG8Zqptql3KvGbh4zWz3Yny/VG1TbULdNtUu0C3TbXLbEe8MW1mVobcXJ0zI1cUymum2qbapcxrFj5eM9udKN8fVdtUu0C3TbULdNtUu8x2xBvTZmZlSEuLBD2C/U7Ka6baptqlzGsWPl4z250o3x9V21S7QLdNtQt021S7zHbEG9NmZmWoXNlnRg4b5TVTbVPtUuY1Cx+vme1OlO+Pqm2qXaDbptoFum2qXWY7Eg16ALOKIDc3lylTpjB//nwikQiNGjXi1FNPpXLlykGPZmZmZmZmZmZmVu68MW2WYnPmzOHiiy9m1apV7LnnnuTn57N+/XoeeeQRRowYQbNmzYIe0czMzMzMzMzMrFz5UB5mKTZw4EAaN27MO++8w4cffsinn37K2LFjicVi3HXXXUGPZzuhuNinRg4b5TVTbVPtUuY1Cx+vme1OlO+Pqm2qXaDbptoFum2qXWY74o1psySZOnXqdi//5ptvGDBgAHXr1o1fduihh3LKKafw1Vdfldd4tgvy8gqCHsF+J+U1U21T7VLmNQsfr5ntTpTvj6ptql2g26baBbptql1mO+KNabMkufHGG7noootYunRpqcvr1q3LO++8U+qyjRs38vHHH7PXXnuV44SWqGjUT5Vho7xmqm2qXcq8ZuHjNbPdifL9UbVNtQt021S7QLdNtctsR3yPN0uSSZMmsXr1ak455RTGjh0bv/yyyy5j1KhRnHzyyVx99dVceumlHHvssXzzzTdceumlAU5sOysz04fjDxvlNVNtU+1S5jULH6+Z7U6U74+qbapdoNum2gW6bapdZjvie7xZkhx00EGMGzeOMWPG8OCDDzJlyhTuvvtuzjjjDPbbbz/GjBnDggULAOjQoQN9+/alZcuWwQ5tFc6K9ZtYsSEfgAUrN5b6f4CcqpnkZFcKZDYzMzMzMzMzqzi8MW2WRJFIhL59+9KpUycGDhxI165dGTBgABdddBEPPfRQ0OOZMXHOT4ycsajUZbdP+yb+3xe024cB7fcr56nMzMzMzMzMrKLxxrRZCtSrV48RI0YwZcoUhg4dyrRp0xgyZAht2rQJejRLQFFRcdAjJM0ZLfbmmEa14l9nZEYpyC+Mf51TNTOIsZJOac22ptqm2qXMaxY+XjPbnSjfH1XbVLtAt021C3TbVLvMdsQb02YpdNppp9GhQweGDh1Knz596NWrF9deey3Z2dlBj2a/w6ZNhWXfKCRysitViEN1KK3Z1lTbVLuUec3Cx2tmuxPl+6Nqm2oX6LapdoFum2qX2Y745IdmSfTf//6XgQMHcuGFFzJw4EC++uor9txzT+6//35GjBjBe++9R+fOnXnrrbeCHtV+h4yM9KBHSBnVNtUu0G1T7VLmNQsfr5ntTpTvj6ptql2g26baBbptql1mO+KNabMkmT59OmeeeSavvfYaq1evZtq0afTs2ZN33nkH2HzCw1dffZWTTjqJK664giuvvJKVK1cGO7TtFOVfDlTbVLtAt021S5nXLHy8ZrY7Ub4/qrapdoFum2oX6LapdpntiDemzZLk0UcfpVGjRkyfPp0XX3yR6dOn06hRIx555JH4bSpXrszNN9/M888/z/fff8/JJ58c4MRmZmZmZmZmZmbB8Ma0WZIsXLiQDh06xI8fXbVqVTp06MDChQu3uW2LFi2YNGkS/fv3L+8xzczMzMzMzMzMAueNabMk2XfffZkxYwZ5eXkA5OXl8eGHH9KwYcPt3j49PZ0LL7ywPEe0BBUWFgU9Qsqotql2gW6bapcyr1n4eM1sd6J8f1RtU+0C3TbVLtBtU+0y25Fo0AOYqbj88su57LLL6NixI/vvvz8LFixgzZo1PPbYY0GPZrsoP1/3lwPVNtUu0G1T7VLmNQsfr5ntTpTvj6ptql2g26baBbptql1mO+J3TJslyfHHH88LL7zAn/70J6pXr86JJ57ICy+8QKdOnYIezXZRZqbuCShU21S7QLdNtUuZ1yx8vGa2O1G+P6q2qXaBbptqF+i2qXaZ7YjfMW2WRC1atKBFixZBj2FJFo2my75yrdqm2gW6bapdyrxm4eM1s92J8v1RtU21C3TbVLtAt021y2xHvDFtZmZmlkQr1m9ixYZ8ABas3Fjq/wFyqmaSk10pkNnMzMzMzMx2F96YNisHq1atYs6cOWzcuJEGDRrQvHlzIpFI0GOZmVkKTJzzEyNnLCp12e3Tvon/9wXt9mFA+/3KeSozCwO/sGVmZmYViTemzZLk5ZdfpmnTpjRt2jR+WSwW4/7772fMmDEUFf36cZz99tuPBx54gEMOOSSIUe13KijQ/SiVaptqF+i2KXWd0WJvjmlUK/51NJpe6gzrOVUzgxgr6ZTWrKLwmu3+KtILW8r3R9U21S7QbVPtAt02pS6/2Go7wxvTZkly0003cdlll5XamL7vvvt45plnqFmzJscffzx77rknn3/+OTNnzqR///688sor1K1bN8CpbWco/XKwNdU21S7QbVPqysmuVCF+yVZas4rCa7b72/qFra2pvLAF2vdH1TbVLtBtU+0C3Talror0YqslzhvTZimydOlSnn32WRo1asSoUaPIycmJXzdq1CiGDh3KM888w4033hjglLYzKlWKsmlTYdBjpIRqm2oX6LapdoFum2qXMq/Z7m/rF7aU18xt4aPaBbptql2g26bUtfWLrRmZUQryf21TerHVEueNabMU+eijjygqKuLaa68ttSkN0K9fPyZPnsx//vMfb0yHQHp6WtAjpIxqm2oX6LapdoFum2qXMq9Z+CivmdvCR7ULdNtUu0C3Talr6xdbq1TJZOPG/AAnst2Rzj3ebDezdOlSAFq1arXd61u2bMmSJUvKcSIzMzMzMzMzM7PdgzemzVKkUqXNrwxWqVJlu9dnZWVRXFxcniOZmZmZmZmZmZntFnwoD7MkmjlzJsOGDQNgwYIFACxevJhGjRptc9ulS5eyxx57lON0lqj8fI1jfG2PaptqF+i2qXaBbptqlzKvWfgor5nbwke1C3TbVLtAt021C7TbLHHemDZLopkzZzJz5sxSl7399tvb3ZieO3cu+++/f3mNZrugsFD3ne2qbapdoNum2gW6bapdyrxm4aO8Zm4LH9Uu0G1T7QLdNtUu0G6zxHlj2ixJRo8evd3La9asuc1l//3vfykoKKBDhw6pHsuSoHLlDPLyCoIeIyVU21S7QLdNtQt021S7lHnNwkd5zdwWPqpdoNum2gW6bapdoN1mifPGtFmSHH744Tt924MPPpjp06encBpLprS0SNAjpIxqm2oX6LapdoFum2qXMq9Z+CivmdvCR7ULdNtUu0C3TbULtNsscT75oZmZmZmZmZmZmZmVK79j2ixFCgoK+OGHH1i3bh2RSIRatWpRv379oMcyMzMzMzMzMzMLnDemzZLstdde4/nnn2f27NkUFRWVum6PPfagc+fOXHDBBdStWzegCe33Uj4Olmqbahfotql2gW6bapcyr1n4KK+Z28JHtQt021S7QLdNtQu02yxxPpSHWZIUFxdz1VVXce211/LJJ59QWFhILBYjFoux9957c+CBB7JhwwaeffZZTjvtNGbMmBH0yLaTiotjQY+QMqptql2g26baBbptql3KvGbho7xmbgsf1S7QbVPtAt021S7QbrPEeWPaLElGjx7Nv/71L4477jhefvllPv30U15++WU6derE+vXrefjhh/n000+5//77ycjI4JJLLuGHH34IemzbCVlZmUGPkDKqbapdoNum2gW6bapdyrxm4aO8Zm4LH9Uu0G1T7QLdNtUu0G6zxHlj2ixJJkyYQOPGjXnsscdo2rQp2dnZNG3alEceeYS99tqLBx54gMzMTE4//XRGjx5NUVERI0aMCHps2wkR4ZMHq7apdoFum2oX6LapdinzmoWP8pq5LXxUu0C3TbULdNtUu0C7zRLnjWmzJFm0aBHt27cnLa30wyo9PZ127drx6aefxi9r1KgRxx57LB988EF5j2lmZmZmZmZmZhY4b0ybJUlmZiZr167d7nXr1q3b5kSI++23H8uXLy+P0czMzMzMzMzMzHYr3pg2S5KDDz6YN954g59//rnU5T///DNvvPEGjRs3LnX5L7/8QtWqVctzREtQbq7u2YNV21S7QLdNtQt021S7lHnNwkd5zdwWPqpdoNum2gW6bapdoN1miYsGPYCZivPPP58BAwbQpUsXzjzzTOrXr8+PP/7I+PHjWb9+PX369Cl1+y+//JIDDzwwoGnt94jFdM8erNqm2gW6bapdoNum2qXMaxY+ymvmtvBR7QLdNtUu0G1T7QLtNkucN6bNkuSYY47hlltu4a9//SsjR44kEokQi8VIT0/n4osv5rTTTovfdv369Rx88MEcddRRAU5sO6tKlUw2bswPeoyUUG1T7QLdNtUu0G1T7VLmNQsf5TVzW/iodoFum2oX6LapdoF2myXOG9NmSdS3b19OOukk/vOf/7BixQr23HNPjjrqKBo0aFDqdtnZ2QwePDigKc3MzMzMzMzMzILljWmzJKtTpw49evQIegwzMzMzMzMzM7Pdlk9+aCaoqKiIhx9+mOOOO44WLVrQqVMnHn/88VLHdIrFYjzyyCN06NCBFi1acO6557JgwYJSf88vv/zCtddeS5s2bWjbti233HILGzZsKOcaMzMzMzMzMzNT441pM0EjR47k+eef54477uC1117juuuu4x//+AdjxowpdZsxY8YwcOBAXnzxRbKysujfvz+bNm2K3+a6667j22+/5emnn2b48OF8+umn3HHHHUEkBUr5OFiqbapdoNum2gW6bapdyrxm4aO8Zm4LH9Uu0G1T7QLdNtUu0G6zxHlj2kzQ7NmzOf744/njH/9IgwYNOOmkk+jQoQNz5swBNr9bevTo0Vx88cV06tSJpk2bcv/997Ns2TLefPNNAL777jvee+89hgwZQsuWLWnbti233XYbU6dOZenSpUHmlbtIJBL0CCmj2qbaBbptql2g26bapcxrFj7Ka+a28FHtAt021S7QbVPtAu02S5w3ps0EtW7dmo8++ojvv/8egHnz5jFr1iyOOeYYAH788UeWL19O+/bt43+mWrVqtGzZktmzZwObN7erV69O8+bN47dp3749aWlp8Q3uiiIrKyPoEVJGtU21C3TbVLtAt021S5nXLHyU18xt4aPaBbptql2g26baBdptljif/NBM0IABA1i/fj0nn3wy6enpFBUVcfXVV3P66acDsHz5cgBq1apV6s/VqlWLFStWALBixQpq1qxZ6vpoNEqNGjXif35nZWVlxv+7sLCI/PwiMjPTiUbT45cXFBRRUFBEpUpR0tN/fc0sP7+QwsJiKlfOIC3t11dY8/IKKC6OkZWVyZYvvObmFhCLxahS5dfvCZs/NhSJREr9MIzFIDc3n7S0CJUr/3p5cXGMvLwCotE0MjOjZGSkU6VKJkVFxWzaVEhGRjoZGb/OHsamEtHo5rmUmoqKiiWbtrzvlXwPpaaSLqWmEiXzKjUVFhZJNuXnF8Uvq1w5gypVMiWaStap5HGm1FSyViVUmmDz40mxqeS+t+XPM5WmknXKyEgnGk2TagLiHUpNJfe9aDSt1JwKTZUrZ5R6nKk0ldz3MjLSSUuLSDUB8Q6lppL73pb3x7A3WfJ4Y9pM0LRp05gyZQoPPvggBx54IF9//TVDhw6lTp06dOvWrdznyc3NZ4vzLgKQn7/5B8LWNm0q3O7fkZdXsMO/e3u2d/yqWCy23cuLi7d/eWFhMYWF+VSpklnq+pIfWlsLU1OJkl8ClJqAUhsvWwtrE/y6Tlv/GYWmrR9nCk0lft140WkCiEbTZZpWrN/Eig2bb7Ng5UYA5i1eE583p2omOdudcPdt2lLJOm39OAvbOm1py/velvOqNJXIyEiXa4LN65SenrbN9wh7U4nNL7RufqFcpQkotcG5PWFs2vLv3973DXNTXl4BaWmRbb532JtKVKmSSXHx5n9kqjTBr48zpaYt//7tzROWpkgEqlattN3rLXHemDYTdP/99zNgwAA6d+4MQJMmTViyZAlPPvkk3bp1o3bt2gCsXLmSOnXqxP/cypUradq0KQA5OTmsWrWq1N9bWFjImjVr4n++oth6U12JaptqF+i2qXaBbptS18Q5PzFyxqJSl90+7Zv4f1/Qbh8GtN+vnKdKPqU1qyiU18xt4aPaBbptql2g26baBdptljhvTJsJysvL2+bEAunp6cT+/0+CBg0aULt2bWbMmEGzZs0AWL9+PV988QVnnXUWsPk41WvXrmXu3LkccsghAHz00UcUFxfTokWLcqwJ3o5erVag2qbaBbptql2g26bUdUaLvTmmUa0dXp9TNXOH14WJ0ppVFMpr5rbwUe0C3TbVLtBtU+0C7TZLnDemzcrB8ccfT79+/ejbt2+5fL9jjz2W4cOHU69evfihPJ5++mm6d+8ObD4bbt++fXniiSfYd999adCgAY888gh16tShU6dOADRq1Iijjz6a22+/nbvuuouCggIGDx5M586dqVu3brl07C5Kjl2mSLVNtQt021S7QLdNqSsnuxI52b9+NFOpbUuqXcqU18xt4aPaBbptql2g26baBdptljhvTJuVg8WLF7N27dpy+3633XYbjzzyCHfddVf8cB29evXi0ksvjd/mggsuIDc3lzvuuIO1a9dy6KGH8o9//INKlX79h/lf//pXBg8eTL9+/UhLS+PEE0/ktttuK7eO3UXlyhnbPY6VAtU21S7QbVPtAt021S7QbVPtUqa8Zm4LH9Uu0G1T7QLdNtUu0G6zxHlj2kxQdnY2t956K7feeusObxOJRLjyyiu58sord3ibPfbYgwcffDAVI5qZmZmZmZmZWQWWFvQAZmZmZmZmZmZmZlaxeGPazKwMysfBUm1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLnA/lYZZkw4YN2+7lM2fO3Oa6SCRS6rjPtnvKyysIeoSUUW1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLnDemzZLstzamZ86cWeoyb0yHQzSaRmFhcdBjpIRqm2oX6LapdoFum2oX6LapdilTXjO3hY9qF+i2qXaBbptqF2i3WeK8MW2WZG+99Vapr2OxGJ06daJfv3707ds3oKlsV2RmRiks1Dx7sGqbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4rwxbZZk9evX3+7l1apV2+F1ZmZmZmZmZmZmFYlPfmhmZmZmZmZmZmZm5cob02ZmZSgq0j0Olmqbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4rwxbWZWhk2bCoMeIWVU21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnjWmzcjB06FA6deoU9BiWoIyM9KBHSBnVNtUu0G1T7QLdNtUu0G1T7VKmvGZuCx/VLtBtU+0C3TbVLtBus8R5Y9qsHHTr1o2mTZsGPYYlSPkHqGqbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4rwxbWZmZmZmZmZmZmblyhvTZmZmZmZmZmZmZlauvDFtZlaGwsKioEdIGdU21S7QbVPtAt021S7QbVPtUqa8Zm4LH9Uu0G1T7QLdNtUu0G6zxHlj2sysDPn5uj9AVdtUu0C3TbULdNtUu0C3TbVLmfKauS18VLtAt021C3TbVLtAu80S541pM7MyZGbqnqRBtU21C3TbVLtAt021C3TbVLuUKa+Z28JHtQt021S7QLdNtQu02yxx3pg2MytDNKr7A1S1TbULdNtUu0C3TbULdNtUu5Qpr5nbwke1C3TbVLtAt021C7TbLHHemDYzMzMzMzMzMzOzchUNegAzdRs2bGDBggXk5ubStm3boMcxMzMzMzMzMzMLnN8xbZYiP/74IxdffDGHH344PXr0oG/fvvHrZs2axSmnnMLHH38c4IS2swoKdE/SoNqm2gW6bapdoNum2gW6bapdypTXzG3ho9oFum2qXaDbptoF2m2WOG9Mm6XAkiVL6NWrF//5z384/vjjadWqFbFYLH59y5YtWb16NVOnTg1wSttZyj9AVdtUu0C3TbULdNtUu0C3TbVLmfKauS18VLtAt021C3TbVLtAu80S541psxR47LHHWLNmDWPGjOHRRx/lqKOOKnV9NBqlbdu2fPbZZwFNaL9HpUq6Rz1SbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkucN6bNUuC9997jhBNOoE2bNju8Tb169Vi6dGk5TmWJSk/XfapUbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkuc7xVmKbBmzRrq16//m7eJxWLk5+eX00RmZmZmZmZmZma7D29Mm6VATk4OCxcu/M3b/O9//2Pvvfcup4nMzMzMzMzMzMx2H96YNkuB9u3b8/bbbzNv3rztXv/pp5/y0Ucf0bFjx3KezBKRn18Y9Agpo9qm2gW6bapdoNum2gW6bapdypTXzG3ho9oFum2qXaDbptoF2m2WOB953CwFLr74Yl5//XX69OlD//794++efvfdd5k9ezbPPPMMe+65J/379w94UtsZhYXFQY+QMqptql2g26baBbptql2g26bapUx5zdwWPqpdoNum2gW6bapdoN1mifM7ps1SoEGDBjz11FNUr16dRx55hFdffZVYLMZFF13E8OHDqVmzJiNGjKBOnTpBj2o7oXLljKBHSBnVNtUu0G1T7QLdNtUu0G1T7VKmvGZuCx/VLtBtU+0C3TbVLtBus8T5HdNmKdKyZUv+/e9/8/bbb/PFF1+wZs0asrOzadGiBccffzyZmZlBj2g7KS0tEvQIKaPaptoFum2qXaDbptoFum2qXcqU18xt4aPaBbptql2g26baBdptljhvTJulUDQa5YQTTuCEE04IehQzMzMzMzMzM7Pdhg/lYZYCffv25eWXX/7N20yePJm+ffuWz0BmZmZmZmZmZma7EW9Mm6XAzJkz+fHHH3/zNkuWLOGTTz4pp4lsV+TlFQQ9Qsqotql2gW6bahfotql2gW6bapcy5TVzW/iodoFum2oX6LapdoF2myXOG9NmAcnNzSUa9dF0wqC4OBb0CCmj2qbaBbptql2g26baBbptql3KlNfMbeGj2gW6bapdoNum2gXabZY474qZJcmSJUtKfb1u3bptLgMoKiri559/5vXXX6d+/frlNZ7tgqysTHJz84MeIyVU21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnjWmzJDnuuOOIRDafZTYSiTB69GhGjx69w9vHYjFuuOGG8hrPdkFE+OTBqm2qXaDbptoFum2qXaDbptqlTHnN3BY+ql2g26baBbptql2g3WaJ88a0WZJ07dqVSCRCLBbj5ZdfpmnTpjRr1myb26WlpVGjRg2OPPJIjjnmmAAmNTMzMzMzMzMzC5Y3ps2S5N57743/98yZMznjjDPo27dvgBOZmZmZmZmZmZntnrwxbZYC06dPD3oES6LcXN2zB6u2qXaBbptqF+i2qXaBbptqlzLlNXNb+Kh2gW6bahfotql2gXabJS4t6AHMzHZ3sZju2YNV21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnd0ybpcj69esZO3YsH374IcuWLSM/f9uzz0YiEd58880AprPfo0qVTDZu1Dx7sGqbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4rwxbZYCq1atonfv3ixatIjs7GzWr19PtWrVKCgoIC8vD4A6deoQjfohaGZmZmZmZmZmFY8P5WGWAo899hiLFi3ivvvu45NPPgGgX79+fP7557z44ou0aNGC+vXrM3Xq1IAnNTMzMzMzMzMzK3/emDZLgXfffZd27drRpUsXIpFIqetatGjByJEjWbx4McOGDQtoQjMzMzMzMzMzs+B4Y9osBZYvX06zZs3iX6enp7Np06b41zVq1OCYY45h2rRpQYxnv5PycbBU21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnjWmzFKhWrRqFhYXxr6tXr87PP/9c6jbZ2dmsXLmyvEezBGz9rnclqm2qXaDbptoFum2qXaDbptqlTHnN3BY+ql2g26baBbptql2g3WaJ88a0WQo0bNiQxYsXx7/+wx/+wIcffsjq1asByMvL4+2332bvvfcOakT7HbKyMoIeIWVU21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnjWmzFDjqqKOYMWMGubm5APTq1YuVK1fSpUsXrrjiCk499VQWLVrEGWecEfCkZmZmZmZmZmZm5c8b02Yp0Lt3b4YMGRLfmD7xxBO54YYbyM3N5d///jcrVqzg3HPPpX///gFPamZmZmZmZmZmVv6iQQ9gpqhOnTqccsoppS47//zz6devH6tXr6ZWrVo+vlKIxGJBT5A6qm2qXaDbptoFum2qXaDbptqlTHnN3BY+ql2g26baBbptql2g3WaJ88a0WTlKT08nJycn6DHsd8rN1T17sGqbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4rwxbZZixcXFrFixgsLCwu1eX69evXKeyH6vtLQIxcWaL++qtql2gW6bahfotql2gW6bapcy5TVzW/iodoFum2oX6LapdoF2myXOG9NmKTJ58mT++c9/8t1331FUVLTd20QiEb766qtynsx+r8qVM9i4UfPVXdU21S7QbVPtAt021S7QbVPtUqa8Zm4LH9Uu0G1T7QLdNtUu0G6zxHlj2iwFnnrqKf76178SjUZp27YttWvXJhr1w83MzMzMzMzMzAy8MW2WEs8++yx169Zl3Lhx7LXXXkGPY2ZmZmZmZmZmtltJC3oAM0WrVq3ixBNPDHRTeunSpVx33XUcccQRtGjRgtNOO40vv/wyfn0sFuORRx6hQ4cOtGjRgnPPPZcFCxaU+jt++eUXrr32Wtq0aUPbtm255ZZb2LBhQzmXBE/5OFiqbapdoNum2gW6bapdoNum2qVMec3cFj6qXaDbptoFum2qXaDdZonzxrRZCuy3336sXbs2sO+/Zs0azjrrLDIyMhg5ciRTp07lxhtvpEaNGvHbjBw5kjFjxjBw4EBefPFFsrKy6N+/P5s2bYrf5rrrruPbb7/l6aefZvjw4Xz66afccccdQSQFKi+vIOgRUka1TbULdNtUu0C3TbULdNtUu5Qpr5nbwke1C3TbVLtAt021C7TbLHHemDZLgXPPPZe33nqLxYsXB/L9R44cyV577cXQoUNp0aIFDRs2pEOHDuyzzz7A5ndLjx49mosvvphOnTrRtGlT7r//fpYtW8abb74JwHfffcd7773HkCFDaNmyJW3btuW2225j6tSpLF26NJCuoESjuk+Vqm2qXaDbptoFum2qXaDbptqlTHnN3BY+ql2g26baBbptql2g3WaJ8zGmzVKgW7durFy5kt69e/PnP/+Zpk2bkp2dvd3bHnbYYUn//tOnT6dDhw5cccUVfPLJJ9StW5c///nPnHnmmQD8+OOPLF++nPbt28f/TLVq1WjZsiWzZ8+mc+fOzJ49m+rVq9O8efP4bdq3b09aWhpz5szhhBNOSPrcu6vMzCiFhZpnD1ZtU+0C3TbVLtBtU+0C3TbVLmXKa+a28FHtAt021S7QbVPtAu02S5w3ps1SZP369axfv55HH330N2/39ddfJ/17//DDDzz//POcd955XHTRRXz55ZcMGTKEjIwMunXrxvLlywGoVatWqT9Xq1YtVqxYAcCKFSuoWbNmqeuj0Sg1atSI//mdlZWVGf/vwsIi8vOLyMxMJxpNj19eUFBEQUERlSpFSU//9ZXU/PxCCguLqVw5g7S0SPzyvLwCiotjZGVlEvn1YnJzC4jFYlSp8uv3BNi4MZ9IJEJWVkb8slgMcnPzSUuLULnyr5cXF8fIyysgGk0jMzNKRkY6VapkUlRUzKZNhWRkpJOR8evsYWwqUfKqtVJTUVGxZNOW972S76HUVNKl1FSiZF6lpsLCIsmmkvvelo8zlaZo9NcupSag1N+n0gSb73uKTSX3vS0fZypNJeuUkZFONJom1QTEO5SaSu570WhaqTkVmipXzij1OFNpKrnvZWSkk5YWkWoC4h1KTSX3vS3vj2FvsuSJxGIxH33cLMkeeeQRhg8fTs2aNfnjH/9I7dq1iUa3/zrQZZddlvTvf8ghh3DIIYcwbty4+GVDhgzhyy+/5IUXXuCzzz7jrLPO4r333qNOnTrx21x55ZVEIhEefvhhhg8fzqRJk3j99ddL/d3t2rXj8ssv589//vNOz7NixTrC/ExTpUomGzdqvrKr2qbaBbptql2g26baBbptql3zlq7jnGdnM6ZPa5rWrRb0OEmlumbgtjBS7QLdNtUu0G1T7YLwt0UikJOj9XvG7sDvmDZLgQkTJrDffvsxfvx4qlatWu7fv3bt2jRq1KjUZQcccEB8k7l27doArFy5stTG9MqVK2natCkAOTk5rFq1qtTfUVhYyJo1a+J/vqIoeQeuItU21S7QbVPtAt021S7QbVPtUqa8Zm4LH9Uu0G1T7QLdNtUu0G6zxPnI42YpsHbtWv74xz8GsikN0KZNG77//vtSly1YsID69esD0KBBA2rXrs2MGTPi169fv54vvviC1q1bA9C6dWvWrl3L3Llz47f56KOPKC4upkWLFuVQsfvYtKkw6BFSRrVNtQt021S7QLdNtQt021S7lCmvmdvCR7ULdNtUu0C3TbULtNsscd6YNkuBxo0bs2zZssC+f79+/fjiiy8YPnw4CxcuZMqUKbz44ovxw29EIhH69u3LE088wVtvvcU333zDDTfcQJ06dejUqRMAjRo14uijj+b2229nzpw5zJo1i8GDB9O5c2fq1q0bWFsQtjwmlRrVNtUu0G1T7QLdNtUu0G1T7VKmvGZuCx/VLtBtU+0C3TbVLtBus8R5Y9osBS666CLeeust/vvf/wby/Vu0aMGwYcOYOnUqp556Kn//+9+55ZZbOP300+O3ueCCC+jTpw933HEHPXr0YOPGjfzjH/+gUqVK8dv89a9/5YADDqBfv34MGDCANm3aMGjQoCCSAqX8A1S1TbULdNtUu0C3TbULdNtUu5Qpr5nbwke1C3TbVLtAt021C7TbLHE+xrRZCqxdu5b27dvTu3dvunTpQtOmTcnOzt7ubbt27ZqSGY499liOPfbYHV4fiUS48sorufLKK3d4mz322IMHH3wwFeOZmZmZmZmZmVkF5o1psxS46aabiEQixGIxxo8fD2zeCN5SLBYjEomkbGPazMzMzMzMzMxsd+WNabMUGDp0aNAjWBIVFhYFPULKqLapdoFum2oX6LapdoFum2qXMuU1c1v4qHaBbptqF+i2qXaBdpslzhvTZinQrVu3oEewJMrP1/0Bqtqm2gW6bapdoNum2gW6bapdypTXzG3ho9oFum2qXaDbptoF2m2WOJ/80MysDJmZuidpUG1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLnDemzczKEI3q/gBVbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkucD+VhlgRNmzYlLS2NqVOnsv/++9O0adNtTna4PZFIhK+++qocJjQzMzMzMzMzM9t9eGPaLAkOO+wwALKyskp9bWZmZmZmZmZmZtvyxrRZEowZM+Y3v7ZwKyjQPUmDaptqF+i2qXaBbptqF+i2qXYpU14zt4WPahfotql2gW6bahdot1nifIxpM7MyKP8AVW1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLnDemzVLg+OOPZ/To0b95m7Fjx3L88ceX00S2KypV0v1wiWqbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4rwxbZYCixcvZu3atb95m7Vr17JkyZJymsh2RXq67lOlaptqF+i2qXaBbptqF+i2qXYpU14zt4WPahfotql2gW6bahdot1nifK8wC8i6devIzMwMegwzMzMzMzMzM7Ny5/fRmyXJJ598UurrxYsXb3MZQFFRET///DNTpkxhv/32K6fpzMzMzMzMzMzMdh/emDZLknPOOYdIJAJAJBLh5Zdf5uWXX97ubWOxGJFIhGuvvbYcJ7RE5ecXBj1Cyqi2qXaBbptqF+i2qXaBbptqlzLlNXNb+Kh2gW6bahfotql2gXabJc4b02ZJcumllxKJRIjFYjz++OMcdthhHHHEEdvcLi0tjRo1anDkkUfSqFGjACa136uwsDjoEVJGtU21C3TbVLtAt021C3TbVLuUKa+Z28JHtQt021S7QLdNtQu02yxx3pg2S5LLL788/t8zZ86ke/fudO3aNbiBLGkqV84gL68g6DFSQrVNtQt021S7QLdNtQt021S7lCmvmdvCR7ULdNtUu0C3TbULtNsscd6YNkuBMWPGBD2CJVFaWiToEVJGtU21C3TbVLtAt021C3TbVLuUKa+Z28JHtQt021S7QLdNtQu02yxxaUEPYKbop59+YsaMGeTm5sYvKy4uZsSIEfTu3Ztzzz2Xd955J7gBzczMzMzMzMzMAuR3TJulwCOPPMLbb7/N+++/H7/siSee4LHHHot//cknn/D888/TokWLIEY0MzMzMzMzMzMLjN8xbZYCn332Ge3atSMjIwOAWCzG2LFjOeCAA3jnnXd46aWXyMrK4qmnngp4UtsZysfBUm1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLnDemzVJg5cqV1KtXL/71119/zapVq+jTpw977bUXzZs3p1OnTnz55ZcBTmk7q7g4FvQIKaPaptoFum2qXaDbptoFum2qXcqU18xt4aPaBbptql2g26baBdptljhvTJulQHFxMbHYr0+6M2fOJBKJcOSRR8Yvq1u3LitWrAhiPPudsrIygx4hZVTbVLtAt021C3TbVLtAt021S5nymrktfFS7QLdNtQt021S7QLvNEueNabMUqFevHnPmzIl//eabb1K7dm0OOOCA+GXLly+nevXqQYxnv1NE+OTBqm2qXaDbptoFum2qXaDbptqlTHnN3BY+ql2g26baBbptql2g3WaJ88kPzVLgxBNPZPjw4VxxxRVkZmYya9Yszj777FK3+e6772jQoEFAE5qZmZmZmZmZmQXHG9NmKdC/f38++OAD/v3vfwPQpEkTLr/88vj1ixcvZs6cOQwYMCCoEc3MzMzMzMzMzALjjWmzFMjOzubFF1/kf//7HwCNGjUiPT291G0ee+wxmjdvHsR49jvl5uqePVi1TbULdNtUu0C3TbULdNtUu5Qpr5nbwke1C3TbVLtAt021C7TbLHHemDZLocaNG2/38vr161O/fv1ynsYSteWJLNWotql2gW6bahfotql2gW6bapcy5TVzW/iodoFum2oX6LapdoF2myXOJz80S6Hly5czduxYhgwZwq233hq/fNWqVcyZM4e8vLwAp7OdVaWK7tmDVdtUu0C3TbULdNtUu0C3TbVLmfKauS18VLtAt021C3TbVLtAu80S541psxQZO3Ysxx9/PIMHD+bZZ59l4sSJ8etWrlxJr169eOWVVwKc0MzMzMzMzMzMLBjemDZLgenTpzN48GAaN27ME088wVlnnVXq+oMOOogmTZrw5ptvBjShmZmZmZmZmZlZcHyMabMUeOqpp6hXrx6jR4+mSpUq/Pe//93mNo0bN+bTTz8NYDozMzMzMzMzM7Ng+R3TZinw9ddf07FjR6pUqbLD29StW5eVK1eW41SWqI0b84MeIWVU21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnjWmzFIjFYkSjv/2BhJUrV5KZ6YP/h0EkEgl6hJRRbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkucN6bNUmD//fdn1qxZO7y+sLCQTz/9lMaNG5fjVJaorKyMoEdIGdU21S7QbVPtAt021S7QbVPtUqa8Zm4LH9Uu0G1T7QLdNtUu0G6zxHlj2iwFTjvtNL766iuGDRu2zXVFRUXcd999/PDDD3Tt2rX8hzMzMzMzMzMzMwuYT35olgJ9+vRh+vTpPP7440yZMiV+yI4rr7ySuXPnsnjxYo466ih69OgR8KRmZmZmZmZmZmblz++YNkuBjIwMnnrqKQYMGMAvv/zC//3f/xGLxXj99ddZs2YNF1xwAU888YSPsRQSsVjQE6SOaptqF+i2qXaBbptqF+i2qXYpU14zt4WPahfotql2gW6bahdot1niIrGY7xpmqRSLxZg/fz5r1qwhOzubRo0akZ6eHvRY5WrFinX+IWRmZmYpMW/pOs55djZj+rSmad1qQY9jZmZmgiIRyMnx7xnJ5kN5mKVYJBKhUaNGQY9huyAtLUJxsebOumqbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4nwoDzOzMlSurHv2YNU21S7QbVPtAt021S7QbVPtUqa8Zm4LH9Uu0G1T7QLdNtUu0G6zxHlj2szMzMzMzMzMzMzKlTemzczMzMzMzMzMzKxceWPazKwMysfBUm1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLnDemzczKkJdXEPQIKaPaptoFum2qXaDbptoFum2qXcqU18xt4aPaBbptql2g26baBdptljhvTJuZlSEa1X2qVG1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLnO8VZgFZuXIl8+bNC3oM2wmZmdGgR0gZ1TbVLtBtU+0C3TbVLtBtU+1Sprxmbgsf1S7QbVPtAt021S7QbrPEeWPaLEmaNWvG448/Xuqy1157jcsuu2y7t3/++efp1q1beYxmZmZmZmZmZma2W/HGtFmSxGIxYrHSB/OfP38+b731VkATmZmZmZmZmZmZ7Z68MW1mVoaiouKgR0gZ1TbVLtBtU+0C3TbVLtBtU+1Sprxmbgsf1S7QbVPtAt021S7QbrPEeWPazKwMmzYVBj1Cyqi2qXaBbptqF+i2qXaBbptqlzLlNXNb+Kh2gW6bahfotql2gXabJc4b02ZmZcjISA96hJRRbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkucN6bNzMqg/ANUtU21C3TbVLtAt021C3TbVLuUKa+Z28JHtQt021S7QLdNtQu02yxx3pg2MzMzMzMzMzMzs3IVDXoAMyVjx47ltddei3+9evVqAE455ZRtbltynZmZmZmZmZmZWUXjd0ybJdHq1auZP39+/H+rV68mFouVumzL68rLiBEjaNKkCXfffXf8sk2bNnHXXXdxxBFH0Lp1ay6//HJWrFhR6s8tWbKEAQMG0LJlS9q1a8d9991HYWHFO2FBYWFR0COkjGqbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4vyOabMkmTdvXtAjbNecOXMYN24cTZo0KXX5Pffcw7vvvsvDDz9MtWrVGDx4MJdddhnjxo0DoKioiAsvvJCcnBzGjRvHsmXLuPHGG8nIyOCaa64JIiUw+fm6P0BV21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnd0ybCduwYQPXX389Q4YMoUaNGvHL161bx4QJE7jpppto164dhxxyCPfccw+zZ8/m888/B+D999/n22+/5YEHHqBZs2Z07NiRK6+8krFjx5Kfnx9QUTAyM3VP0qDaptoFum2qXaDbptoFum2qXcqU18xt4aPaBbptql2g26baBdptljhvTJsF5Oabb+YPf/hDSr/HoEGD6NixI+3bty91+dy5cykoKCh1eaNGjahXr158Y/rzzz+ncePG5OTkxG/ToUMH1q9fz7fffpvSuXc30ajuD1DVNtUu0G1T7QLdNtUu0G1T7VKmvGZuCx/VLtBtU+0C3TbVLtBus8T5UB5mAYrFYin7u6dOncpXX33F+PHjt7luxYoVZGRkUL169VKX16pVi+XLl8dvs+WmNBD/uuQ2OysrKzP+34WFReTnF5GZmV7qB1NBQREFBUVUqhQlPf3X18zy8wspLCymcuUM0tIi8cvz8gooLo6RlZVJ5NeLyc0tIBaLUaXKr98TYOPGfCKRCFlZGfHLYjHIzc0nLS1C5cq/Xl5cHCMvr4BoNI3MzCgZGelUqZJJUVExmzYVkpGRTkbGr7OHsalENLp5LqWmoqJiyaYt73sl30OpqaRLqalEybxKTSXHCFRrKrnvbfk4U2mKRn/tUmoCSv19Kk2w+b6n2FRy39vycabSVLJOGRnpRKNpUk1AvEOpqeS+F42mlZpToaly5YxSjzOVppL7XkZGOmlpEakmIN6h1FRy39vy/hj2Jkseb0ybCfrpp5+4++67+ec//0mlSpWCHofc3Hy23oPPzy/a7jGmNm3a/skV8/IKdvh3b8/GjdteHovFtnt5cfH2Ly8sLKawMJ8qVTJLXV/yQ2trYWoqsfXGy9bC2ASU2njZWlib4Nd12vrPKDRt/ThTaCrx68aLThNsfteLWhNsXqdodNvHWdib8vO3fZwpNG09r0pTiYyMdLkm2LxO6elp23yPsDeV2PxC6+YXylWagFIbnNsTxqYt//7tfd8wN+XlFZCWFtnme4e9qUSVKpkUF2/+R6ZKE/z6OFNq2vLv3948YWmKRKBq1eD3V9R4Y9pM0H//+19WrlzJGWecEb+sqKiITz75hLFjx/LUU09RUFDA2rVrS71reuXKldSuXRvY/O7oOXPmlPp7V6xYARC/TUWxvR9kKlTbVLtAt021C3TbVLtAt021S5nymrktfFS7QLdNtQt021S7QLvNEueNaTNBRx55JFOmTCl12c0338wBBxzABRdcwN57701GRgYzZszgT3/6EwDz589nyZIltGrVCoBWrVoxfPhwVq5cSa1atQD48MMPyc7O5sADDyzXnqAp/wBVbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkucN6bNBGVnZ9O4ceNSl1WpUoU99tgjfnn37t259957qVGjBtnZ2QwZMoTWrVvHN6Y7dOjAgQceyA033MD111/P8uXLefjhhzn77LPJzMzc+ltKq1QpusOP9ISdaptqF+i2qXaBbptqF+i2qXYpU14zt4WPahfotql2gW6bahdot1nivDFtVkHdcsstpKWlccUVV5Cfn0+HDh24884749enp6czfPhwBg4cSK9evcjKyqJbt25cccUVAU4djC1PfqBGtU21C3TbVLtAt021C3TbVLuUKa+Z28JHtQt021S7QLdNtQu02yxx3pg2S5KWLVv+rtsXFpbvK4Vjxowp9XWlSpW48847S21Gb61+/fqMHDky1aOZmZmZmZmZmVkF441psyQpOQ6zmZmZmZmZmZmZ/TZvTJslyfTp04MewVIkP1/3OFiqbapdoNum2gW6bapdoNum2qVMec3cFj6qXaDbptoFum2qXaDdZonzAV7MzMpQWFgc9Agpo9qm2gW6bapdoNum2gW6bapdypTXzG3ho9oFum2qXaDbptoF2m2WOG9Mm5mVoXLljKBHSBnVNtUu0G1T7QLdNtUu0G1T7VKmvGZuCx/VLtBtU+0C3TbVLtBus8T5UB5mSfLyyy8n9Oe6du2a1Dks+dLSIkGPkDKqbapdoNum2gW6bapdoNum2qVMec3cFj6qXaDbptoFum2qXaDdZonzxrRZktx0001EIpufaGOxWPy/d6TkNt6YNjMzMzMzMzOzisYb02ZJlJ6eTseOHWnZsmXQo5iZmZmZmZmZme22vDFtliQnnXQS06dPZ/r06SxcuJAzzjiDrl27UrNmzaBHs12Ul1cQ9Agpo9qm2gW6bapdoNum2gW6bapdypTXzG3ho9oFum2qXaDbptoF2m2WuEgsFosFPYSZijVr1jB58mQmTZrE119/TTQa5dhjj6V79+4cc8wxpKVVzPONrlixDj/TmJmZWSrMW7qOc56dzZg+rWlat1rQ45iZmZmgSARycvx7RrJVzF0ysxSpUaMGffv2ZdKkSUyYMIGePXsyc+ZMLr74Yjp27Mjf/vY3FixYEPSY9jtlZWUGPULKqLapdoFum2oX6LapdoFum2qXMuU1c1v4qHaBbptqF+i2qXaBdpslzhvTZily8MEHc+edd/Lee+/xwAMPcNBBB/GPf/yDU045hffffz/o8ex3KOM8lqGm2qbaBbptql2g26baBbptql3KlNfMbeGj2gW6bapdoNum2gXabZY4b0ybpVhmZiaHH344hx9+OLVq1aK4uJhNmzYFPZaZmZmZmZmZmVlgfPJDsxQpLCzkrbfeYsKECXzwwQcUFRXRvHlzLr30Utq3bx/0eGZmZmZmZmZmZoHxxrRZkn3zzTeMHz+eV199ldWrV7PnnnvSp08funfvTuPGjYMezxKQm6t79mDVNtUu0G1T7QLdNtUu0G1T7VKmvGZuCx/VLtBtU+0C3TbVLtBus8R5Y9osScaOHcuECRP4+uuvSUtL46ijjqJHjx4cd9xxRKN+qIVZLBYLeoSUUW1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLnHfLzJJk8ODBRKNRjj32WLp160bdunUB+Oqrr37zz7Vo0aI8xrNdUKVKJhs35gc9Rkqotql2gW6bahfotql2gW6bapcy5TVzW/iodoFum2oX6LapdoF2myXOG9NmSVRYWMjbb7/N22+/vdN/5uuvv07hRGZmZmZmZmZmZrsfb0ybJUm3bt2CHsHMzMzMzMzMzCwUvDFtliRDhw4NegQzMzMzMzMzM7NQSAt6ADOz3Z3ycbBU21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnjWkzszJEIpGgR0gZ1TbVLtBtU+0C3TbVLtBtU+1Sprxmbgsf1S7QbVPtAt021S7QbrPEeWPaLAn69+/PnDlzEvqzGzduZMSIEYwdOzbJU1myZGVlBD1Cyqi2qXaBbptqF+i2qXaBbptqlzLlNXNb+Kh2gW6bahfotql2gXabJc7HmDZLgtWrV9OrVy/atm1L165dOfHEE6lWrdpv/pnPP/+cV155halTp7Jp0ybuvffecprWzMzMzMzMzMwsWN6YNkuCiRMnMmnSJIYNG8att97K7bffzv7778/BBx9MrVq1qF69Ops2bWLNmjV8//33zJ07lw0bNpCens4pp5zCVVddRb169YLOMDMzMzMzMzMzKxfemDZLkm7dutG1a1feffddJk6cyMcff8wrr7yyze3S0tJo0qQJnTp1omfPntSpUyeAae33iMWCniB1VNtUu0C3TbULdNtUu0C3TbVLmfKauS18VLtAt021C3TbVLtAu80SF4nFfNcwS5XvvvuOn3/+mV9++YVKlSpRs2ZNDjrooDIP86FmxYp1/iFkZmZmKTFv6TrOeXY2Y/q0pmndivU7lpmZmZWPSARycvx7RrL5HdNmKdSoUSMaNWoU9Bi2i9LSIhQXa+6sq7apdoFum2oX6LapdoFum2qXMuU1c1v4qHaBbptqF+i2qXaBdpslLi3oAczMdneVK+uePVi1TbULdNtUu0C3TbULdNtUu5Qpr5nbwke1C3TbVLtAt021C7TbLHHemDYzMzMzMzMzMzOzcuWNaTMzMzMzMzMzMzMrV96YNjMrg/JxsFTbVLtAt021C3TbVLtAt021S5nymrktfFS7QLdNtQt021S7QLvNEueNaTOzMuTlFQQ9Qsqotql2gW6bahfotql2gW6bapcy5TVzW/iodoFum2oX6LapdoF2myXOG9NmZmWIRnWfKlXbVLtAt021C3TbVLtAt021S5nymrktfFS7QLdNtQt021S7QLvNEud7hZlZGTIzo0GPkDKqbapdoNum2gW6bapdoNum2qVMec3cFj6qXaDbptoFum2qXaDdZonzvcIsBWKxGB999BGff/45y5cvB6B27dq0atWKI488kkgkEvCEZmZmZmZmZmZmwfHGtFmSvfvuuwwZMoQff/wR2LxJDcQ3oxs2bMhtt93GMcccE9iMZmZmZmZmZmZmQfLGtFkSjR8/njvuuIPi4mJatmzJkUceyd577w3ATz/9xEcffcQXX3zBRRddxJAhQzjjjDMCnth2RlFRcdAjpIxqm2oX6LapdoFum2oX6LapdilTXjO3hY9qF+i2qXaBbptqF2i3WeIisZK3c5rZLlm4cCGdO3emWrVqPPjgg7Rv3367t5sxYwbXXnst69atY+rUqeyzzz7lPGn5W7FiHX6mMTMzs1SYt3Qd5zw7mzF9WtO0brWgxzEzMzNBkQjk5Pj3jGTzyQ/NkuSZZ54hFosxfPjwHW5KA7Rr147hw4dTVFTEM888U34DWsIyMtKDHiFlVNtUu0C3TbULdNtUu0C3TbVLmfKauS18VLtAt021C3TbVLtAu80S541psyT58MMPOfLII2nZsmWZt23RogXt2rXjgw8+KIfJbFcp/wBVbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkucN6bNkmTp0qU0a9Zsp2/frFkzli5dmsKJzMzMzMzMzMzMdk/emDZLkrS0NIqKinb69kVFRaSl+SFoZmZmZmZmZmYVj3fFzJKkQYMGzJ49e6dvP3v2bOrXr5/CiSxZCgt3/gWHsFFtU+0C3TbVLtBtU+0C3TbVLmXKa+a28FHtAt021S7QbVPtAu02S5w3ps2S5Oijj+aLL77g7bffLvO277zzDp9//jnHHHNMOUxmuyo/X/cHqGqbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4rwxbZYk5513HllZWVxzzTVMmDCBWCy2zW1isRgTJ07k6quvpkqVKpx77rnlP6j9bpmZuidpUG1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLXDToAcxU5OTk8NBDD3H55Zdz22238dhjj3H44Yez9957A/DTTz8xc+ZMli5dSjQa5bHHHqN27doBT207IxpNl311V7VNtQt021S7QLdNtQt021S7lCmvmdvCR7ULdNtUu0C3TbULtNsscd6YNkuijh078txzz3H33Xcze/ZsXnnllW1u07p1a2699VYOOeSQACY0MzMzMzMzMzMLnjemzZLskEMO4fnnn2fhwoXMnj2b5cuXA1C7dm1at27NvvvuG/CEZmZmZmZmZmZmwfLGtFmK7Lvvvr+5CX3zzTczefJkvvrqq3KcyhJRUKD7cSPVNtUu0G1T7QLdNtUu0G1T7VKmvGZuCx/VLtBtU+0C3TbVLtBus8T55IdmAdreCRJt96P8A1S1TbULdNtUu0C3TbULdNtUu5Qpr5nbwke1C3TbVLtAt021C7TbLHHemDYzK0OlSrofLlFtU+0C3TbVLtBtU+0C3TbVLmXKa+a28FHtAt021S7QbVPtAu02S5w3ps3MypCervtUqdqm2gW6bapdoNum2gW6bapdypTXzG3ho9oFum2qXaDbptoF2m2WON8rzMzMzMzMzMzMzKxceWPazMzMzMzMzMzMzMqVN6bNBD355JN0796d1q1b065dOy655BLmz59f6jabNm3irrvu4ogjjqB169ZcfvnlrFixotRtlixZwoABA2jZsiXt2rXjvvvuo7CwsDxTdgv5+brNqm2qXaDbptoFum2qXaDbptqlTHnN3BY+ql2g26baBbptql2g3WaJ85HHzZKkZcuWv+v2qdzgnTlzJmeffTbNmzenqKiIv/3tb/Tv35+pU6dSpUoVAO655x7effddHn74YapVq8bgwYO57LLLGDduHABFRUVceOGF5OTkMG7cOJYtW8aNN95IRkYG11xzTcpm3x0VFhYHPULKqLapdoFum2oX6LapdoFum2qXMuU1c1v4qHaBbptqF+i2qXaBdpslzhvTZklSq1atoEeIe+qpp0p9fe+999KuXTv++9//cthhh7Fu3TomTJjAX//6V9q1awds3qg+5ZRT+Pzzz2nVqhXvv/8+3377LU8//TQ5OTk0a9aMK6+8kr/+9a9cdtllZGZmBpEWiMqVM8jLKwh6jJRQbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkucN6bNkmT69OlBj7BD69atA6BGjRoAzJ07l4KCAtq3bx+/TaNGjahXr158Y/rzzz+ncePG5OTkxG/ToUMHBg4cyLfffssf/vCH8o0IUFpaJOgRUka1TbULdNtUu0C3TbULdNtUu5Qpr5nbwke1C3TbVLtAt021C7TbLHHemDYTV1xczD333EObNm1o3LgxACtWrCAjI4Pq1auXum2tWrVYvnx5/DZbbkoD8a9LbrOzsrJ+fXd1YWER+flFZGamE42mxy8vKCiioKCISpWipKf/evj7/PxCCguLqVw5o9QPsry8AoqLY2RlZRLZ4udbbm4BsViMKlVKv6N748Z8IpEIWVkZ8ctiMcjNzSctLULlyr9eXlwcIy+vgGg0jczMKBkZ6VSpkklRUTGbNhWSkZFORsavs4exqUQ0unkupaaiomLJpi3veyXfQ6mppEupqUTJvEpNhYVFkk0l970tH2cqTdHor11KTUCpv0+lCTbf9xSbSu57Wz7OVJpK1ikjI51oNE2qCX7dVFJqKrnvRaNppeZUaKpcOaPU40ylqeS+l5GRTlpaRKoJiHcoNZXc97a8P4a9yZInEovFYkEPYVYR5efnk5+fT3Z2dkq/z5133sl7773Hc889x1577QXAlClTuPnmm5k7d26p2/bo0YMjjjiC66+/nttvv50lS5aUOixIbm4urVq1YsSIEXTs2HGnZ1ixYh1hfqapUiWTjRvzgx4jJVTbVLtAt021C3TbVLtAt021a97SdZzz7GzG9GlN07rVgh4nqVTXDNwWRqpdoNum2gW6bapdEP62SARycrR+z9gdpJV9EzPbGccffzyjR48uddl7773H0KFDt3v7ESNGcNhhh6V0pkGDBvHOO+8watSo+KY0bH7nc0FBAWvXri11+5UrV1K7du34bVasWFHq+pKvS25TUSgfB0u1TbULdNtUu0C3TbULdNtUu5Qpr5nbwke1C3TbVLtAt021C7TbLHHemDZLksWLF2+z0fvFF19ss1ldHmKxGIMGDeKNN95g1KhRNGzYsNT1hxxyCBkZGcyYMSN+2fz581myZAmtWrUCoFWrVvzvf/9j5cqV8dt8+OGHZGdnc+CBB5ZLx+6iuDjEb/cug2qbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4rwxbSborrvu4pVXXuHBBx+katWqLF++nOXLl5OXlwdAtWrV6N69O/feey8fffQRc+fO5ZZbbqF169bxjekOHTpw4IEHcsMNNzBv3jzee+89Hn74Yc4++2wyMzN/47vr2fIY2WpU21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnkx+aCXr++ecBOOecc0pdPnToUM444wwAbrnlFtLS0rjiiivIz8+nQ4cO3HnnnfHbpqenM3z4cAYOHEivXr3IysqiW7duXHHFFeUXspuICJ/jQLVNtQt021S7QLdNtQt021S7lCmvmdvCR7ULdNtUu0C3TbULtNsscd6YNhP0zTfflHmbSpUqceedd5bajN5a/fr1GTlyZDJHMzMzMzMzMzMz86E8zMzMzMzMzMzMzKx8eWPazKwMubm6Zw9WbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkucD+VhlkRTpkzhiy++iH+9aNEiAC644IJtbltyne3+YjHdswertql2gW6bahfotql2gW6bapcy5TVzW/iodoFum2oX6LapdoF2myXOG9NmSbRw4UIWLly4zeXvvffedm8f8dH/Q6FKlUw2bswPeoyUUG1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLnDemzZLkrbfeCnoEMzMzMzMzMzOzUPDGtFmS1K9fP+gRzMzMzMzMzMzMQsEnPzQzMzMzMzMzMzOzcuWNaTOzMigfB0u1TbULdNtUu0C3TbULdNtUu5Qpr5nbwke1C3TbVLtAt021C7TbLHHemDYzK4PySSpV21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnjWkzszJkZWUEPULKqLapdoFum2oX6LapdoFum2qXMuU1c1v4qHaBbptqF+i2qXaBdpslzhvTZmZmZmZmZmZmZlauvDFtZmZmZmZmZmZmZuXKG9NmZmWIxYKeIHVU21S7QLdNtQt021S7QLdNtUuZ8pq5LXxUu0C3TbULdNtUu0C7zRLnjWkzszLk5uqePVi1TbULdNtUu0C3TbULdNtUu5Qpr5nbwke1C3TbVLtAt021C7TbLHHemDYzK0Namu7Zg1XbVLtAt021C3TbVLtAt021S5nymrktfFS7QLdNtQt021S7QLvNEueNaTOzMlSurHv2YNU21S7QbVPtAt021S7QbVPtUqa8Zm4LH9Uu0G1T7QLdNtUu0G6zxHlj2szMzMzMzMzMzMzKlTemzczMzMzMzMzMzKxceWPazKwMxcW6pw9WbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkucN6bNzMqQl1cQ9Agpo9qm2gW6bapdoNum2gW6bapdypTXzG3ho9oFum2qXaDbptoF2m2WOG9Mm5mVIRrVfapUbVPtAt021S7QbVPtAt021S5lymvmtvBR7QLdNtUu0G1T7QLtNkuc7xVmZmXIzIwGPULKqLapdoFum2oX6LapdoFum2qXMuU1c1v4qHaBbptqF+i2qXaBdpslzhvTZmZmZmZmZmZmZlauvDFtZmZmZmZmZmZmZuXKG9NmZmUoKioOeoSUUW1T7QLdNtUu0G1T7QLdNtUuZcpr5rbwUe0C3TbVLtBtU+0C7TZLnDemzczKsGlTYdAjpIxqm2oX6LapdoFum2oX6LapdilTXjO3hY9qF+i2qXaBbptqF2i3WeK8MW1mVoaMjPSgR0gZ1TbVLtBtU+0C3TbVLtBtU+1Sprxmbgsf1S7QbVPtAt021S7QbrPEeWPazKwMyj9AVdtUu0C3TbULdNtUu0C3TbVLmfKauS18VLtAt021C3TbVLtAu80S541pMzMzMzMzMzMzMytX3pg2MzMzMzMzMzMzs3LljWkzszIUFhYFPULKqLapdoFum2oX6LapdoFum2qXMuU1c1v4qHaBbptqF+i2qXaBdpslzhvTZmZlyM/X/QGq2qbaBbptql2g26baBbptql3KlNfMbeGj2gW6bapdoNum2gXabZY4b0ybmZUhM1P3JA2qbapdoNum2gW6bapdoNum2qVMec3cFj6qXaDbptoFum2qXaDdZonzxrSZWRmiUd0foKptql2g26baBbptql2g26bapUx5zdwWPqpdoNum2gW6bapdoN1mifPGtJmZmZmZmZmZmZmVK29Mm5mZmZmZmZmZmVm58sa0mVkZCgp0T9Kg2qbaBbptql2g26baBbptql3KlNfMbeGj2gW6bapdoNum2gXabZY4b0ybmZVB+QeoaptqF+i2qXaBbptqF+i2qXYpU14zt4WPahfotql2gW6bahdot1nivDFtZlaGSpWiQY+QMqptql2g26baBbptql2g26bapUx5zdwWPqpdoNum2gW6bapdoN1mifPGtJlZGdLTdZ8qVdtUu0C3TbULdNtUu0C3TbVLmfKauS18VLtAt021C3TbVLtAu80S53uFmZmZmZmZmZmZmZUrb0ybmZmZmZmZmZmZWbnyxrSZWRny8wuDHiFlVNtUu0C3TbULdNtUu0C3TbVLmfKauS18VLtAt021C3TbVLtAu80S541pM7MyFBYWBz1Cyqi2qXaBbptqF+i2qXaBbptqlzLlNXNb+Kh2gW6bahfotql2gXabJc4b02ZmZahcOSPoEVJGtU21C3TbVLtAt021C3TbVLuUKa+Z28JHtQt021S7QLdNtQu02yxx3pg2MytDWlok6BFSRrVNtQt021S7QLdNtQt021S7lCmvmdvCR7ULdNtUu0C3TbULtNsscd6YNjMzMzMzMzMzM7Ny5Y1pMzMzMzMzMzMzMytX3pg2MytDXl5B0COkjGqbahfotql2gW6bahfotql2KVNeM7eFj2oX6LapdoFum2oXaLdZ4rwxbWZWhuLiWNAjpIxqm2oX6LapdoFum2oX6LapdilTXjO3hY9qF+i2qXaBbptqF2i3WeK8MW1mVoasrMygR0gZ1TbVLtBtU+0C3TbVLtBtU+1Sprxmbgsf1S7QbVPtAt021S7QbrPEeWPazKwMEeGTB6u2qXaBbptqF+i2qXaBbptqlzLlNXNb+Kh2gW6bahfotql2gXabJc4b02ZmZmZmZmZmZmZWrrwxbWZmZmZmZmZmZmblyhvTZvabxo4dy3HHHUfz5s3p2bMnc+bMCXqkcpebq3v2YNU21S7QbVPtAt021S7QbVPtUqa8Zm4LH9Uu0G1T7QLdNtUu0G6zxHlj2sx26LXXXmPo0KFceumlTJo0iaZNm9K/f39WrlwZ9GjlKhbTPXuwaptqF+i2qXaBbptqF+i2qXYpU14zt4WPahfotql2gW6bahdot1nivDFtZjv09NNPc+aZZ9K9e3cOPPBA7rrrLipXrsyECROCHq1cVamie/Zg1TbVLtBtU+0C3TbVLtBtU+1Sprxmbgsf1S7QbVPtAt021S7QbrPEeWPazLYrPz+f//73v7Rv3z5+WVpaGu3bt2f27NkBTmZmZmZmZmZmZmEXDXoAM9s9rV69mqKiImrVqlXq8lq1ajF//vzf9XdlZf36ymhhYRH5+UVkZqYTjabHLy8oKKKgoIhKlaKkp//6mll+fiGFhcVUrpxBWlokfnleXgHFxTGysjKJ/HoxubkFxGKxbV6N3bgxn0gkQlZWRvyyWAxyc/NJS4tQufKvlxcXx8jLKyAaTSMzM0pGRjpVqmRSVFTMpk2FZGSkk5Hx6+xhbCoRjW6eS6mpqKhYsmnL+17J91BqKulSaipRMq9SU2FhkWRTyX1vy8eZSlM0+muXUhNQ6u9TaYLN9z3FppL73paPM5WmknXKyEgnGk2TagLiHUpNJfe9aDSt1JwKTZUrZ5R6nKk0ldz3MjLSSUuLSDUB8Q6lppL73pb3x7A3WfJEYj7Ii5ltx9KlSznmmGMYN24crVu3jl9+//3388knn/DSSy/t9N+1YsU6wvxMU6VKJhs35gc9Rkqotql2gW6bahfotql2gW6bate8pes459nZjOnTmqZ1qwU9TlKprhm4LYxUu0C3TbULdNtUuyD8bZEI5ORo/Z6xO/ChPMxsu/bcc0/S09O3OdHhypUrycnJCWiqYIT5h2dZVNtUu0C3TbULdNtUu0C3TbVLmfKauS18VLtAt021C3TbVLtAu80S541pM9uuzMxMDj74YGbMmBG/rLi4mBkzZpR6B3VFEInofmRHtU21C3TbVLtAt021C3TbVLuUKa+Z28JHtQt021S7QLdNtQu02yxx3pg2sx0677zzePHFF5k0aRLfffcdAwcOJDc3lzPOOCPo0crVlse2UqPaptoFum2qXaDbptoFum1KXSvWb2Le0nXMW7qOBSs3ArBg5cb4ZSvWbwp4wuRQWrOtuS18VLtAt021C3TbVLtAu80S55MfmtkOnXLKKaxatYpHH32U5cuX06xZM/7xj39UuEN5mJmZ2e5l4pyfGDljUanLbp/2Tfy/L2i3DwPa71fOU5mZmZnZ7+GNaTP7TX369KFPnz5Bj2FmZmYWd0aLvTmmUa3415UrZ5CXVxD/OqdqZhBjmZmZmdnv4I1pM7MyxGJBT5A6qm2qXaDbptoFum2qXaDbptSVk12JnOxK8a+zsjLJzdU7qZLSmm3NbeGj2gW6bapdoNum2gXabZa4SCzmu4aZpdaKFev8Q8jMzMzMzMzMQikSgZycakGPIccnPzQzK0Namu7Zg1XbVLtAt021C3TbVLtAt021C3TbVLvAbWGk2gW6bapdoNum2gXabZY4b0ybmZWhcmXdswertql2gW6bahfotql2gW6bahfotql2gdvCSLULdNtUu0C3TbULtNsscd6YNjMzMzMzMzMzM7Ny5Y1pMzMzMzMzMzMzMytX3pg2MytDcbHumRtV21S7QLdNtQt021S7QLdNtQt021S7wG1hpNoFum2qXaDbptoF2m2WuEgsFvM9w8xSasWKdfiZxszMzMzMzMzCKBKBnJxqQY8hx++YNjMrQzSq+1Sp2qbaBbptql2g26baBbptql2g26baBW4LI9Uu0G1T7QLdNtUu0G6zxPleYWZWhszMaNAjpIxqm2oX6LapdoFum2oX6LapdoFum2oXuC2MVLtAt021C3TbVLtAu80S541pMzMzMzMzMzMzMytX3pg2MzMzMzMzMzMzs3LljWkzszIUFRUHPULKqLapdoFum2oX6LapdoFum2oX6LapdoHbwki1C3TbVLtAt021C7TbLHGRWCwWC3oIM9O2YsU6/ExjZmZmZmZmZmEUiUBOTrWgx5Djd0ybmZUhIyM96BFSRrVNtQt021S7QLdNtQt021S7QLdNtQvcFkaqXaDbptoFum2qXaDdZonzxrSZWRmUf4Cqtql2gW6bahfotql2gW6bahfotql2gdvCSLULdNtUu0C3TbULtNsscd6YNjMzMzMzMzMzM7Ny5Y1pMzMzMzMzMzMzMytX3pg2MytDYWFR0COkjGqbahfotql2gW6bahfotql2gW6bahe4LYxUu0C3TbULdNtUu0C7zRIXicVisaCHMDNtK1asw880ZmZmZmZmZhZGkQjk5FQLegw5fse0mVkZMjN1T9Kg2qbaBbptql2g26baBbptql2g26baBW4LI9Uu0G1T7QLdNtUu0G6zxHlj2sysDNGo7g9Q1TbVLtBtU+0C3TbVLtBtU+0C3TbVLnBbGKl2gW6bahfotql2gXabJc4b02ZmZmZmZmZmZmZWrqJBD2Bm+iKRoCfYdQoNO6LaptoFum2qXaDbptoFum2qXaDbptoFbgsj1S7QbVPtAt021S4Id1uYZ9+d+eSHZmZmZmZmZmZmZlaufCgPMzMzMzMzMzMzMytX3pg2MzMzMzMzMzMzs3LljWkzMzMzMzMzMzMzK1femDYzMzMzMzMzMzOzcuWNaTMzMzMzMzMzMzMrV96YNjMzMzMzMzMzM7Ny5Y1pMzMzMzMzMzMzMytX3pg2MzMzMzMzMzMzs3LljWkzMzMzMzMzMzMzK1femDYzMzMzMzMzMzOzcuWNaTMzMzOrEIqKinjggQeCHsN+J6+bmZmZmaZo0AOYmQWpqKiI/v3788wzzwQ9SlL98MMP/PzzzzRv3pzKlSvHL//ggw846qijApxs1+Tn55OZmRn/+l//+heffvopf/jDHzjjjDMCnCw58vPzWbZsGQB16tQp1Rpm7777LlOnTuWnn34CYO+996Zz58507Ngx4MkSl5+fz4QJE9hrr7049thjGT9+PB9//DEHHXQQ5557bqjXrqioiBdeeGGbNTvllFPo3bs36enpAU+YuPT0dD7++OOgx7DfqSKs25w5c/jss89o1qwZRxxxRNDj7BLV5xD130G2VFhYyP/+9z8aNmxItWrVgh4nqW6++WaGDh0a9BhJl5uby/fff88+++xDdnZ20OMkTPX5o8R3333Hq6++uk3bQQcdFPBkZsGJxGKxWNBDmJkFqXfv3jz33HOkpWl8iOSVV17hnnvuoXbt2qxdu5aHH36Y1q1bA9CtWzcmTZoU8ISJ23L+5557jnHjxnHqqafy9ttv06FDBy699NKAJ0zMsmXLuPvuu3n77bepVq0asViM9evXc+yxx3LLLbdQt27doEdM2EMPPcT7779P9+7dqV+/PgCLFy9mwoQJdOjQgauvvjrgCRNz8803s3z5cvLy8mjUqBHff/89f/rTn3j//fepVasWQ4YMCXrEhN1xxx0sX76c3r1706BBAwB+/PFHxo0bR05ODoMHDw54wl3z2GOPEY1GOeOMM6hatWr88jD/Q/633Hjjjdx3331Bj7HL1NatX79+jBo1Cti8wXnvvfdyzDHH8PHHH3PeeefRu3fvgCdMnOpziOrvIAAzZszgqquuAjY/1u6//342bNjAqlWreOyxxzj88MODHTBB29uAnjBhAt27dwc2/ywPqwceeIDrr78egHnz5vGXv/yF7Oxs1qxZw6OPPsphhx0W8ISJUX3+ABg7dixPPfUUJ598cqnfiadNm8b5559Pnz59Ap4w+VR+B7EUi5mZVXCDBw+O/eUvf4m98sorsTfffDP+v7A6/fTTYz/99FMsFovFPvjgg1jHjh1jH374YSwWi8W6dOkS4GS7bsv5e/ToEfv5559jsVgstm7dutipp54a0FS7rl+/frGnnnoqtn79+vhl69evj/3jH/+InXPOOQFOtutOOOGE2KZNm7a5fNOmTbFOnToFMFFynHLKKbHi4uJYbm5urE2bNrENGzbEYrFYLD8/P9a5c+eAp9s1J5xwwnYvLy4u3uF1YdKkSZP4/5o2bRr/f1UdO3YMeoSkUFu3LX+e9e7dO/btt9/GYrFYbPny5bHTTz89oKmSQ/U5RPV3kFhsc89XX30V++ijj2KHH354/PfGL774InbWWWcFPF3iWrZsGbvuuutijz32WPx/bdu2jf93mHXt2jX+3xdeeGHsjTfeiMVisdjs2bNjvXr1CmqsXab6/BGLxWInnnhi7Jdfftnm8tWrV4e+bUdUfgex1PKhPMyswvvmm28AePHFF+OXRSIRjj/++KBG2iWxWIy99toLgPbt2/Pkk09y8cUXM3jwYCKRSMDT7Zot5y8qKoq/kzg7OzvUH+37+eefOf/880tdVrVqVfr3789LL70U0FTJEYvFiG3nw1nFxcXbvTws0tPTiUQiVKpUiUqVKlGlShUAMjIyQv/pi0gkwqpVq6hZs2apy1etWhXqNSsxb968oEdIuh29mzEWi7Fhw4ZyniY11NZty59nJZ+8AMjJyfFzyG5K9XcQgIKCApo1awZA9erVadeuHQAtWrRg48aNQY62SyZMmMAdd9xBy5Yt4+9GnThxIpdddlnAkyXXTz/9RKdOnQBo1aoVeXl5AU+UONXnD9j8u2+NGjW2ubx69eoUFxcHMFFyVITfQSy1vDFtZhXemDFjgh4hqWL//zAQJR9vbtKkCSNGjGDAgAGh/+Vg/vz5dOvWjVgsxg8//BDvjMViFBYWBj1ewipVqsQnn3yyzccuZ86cGepjFcPmjz736NGD008/vdTHFl955ZVQH5OzXr163HfffWzYsIEDDzyQwYMHc9ppp/Hee+9Ru3btoMfbJX/5y1/o0qULxx9/PPXq1QNgyZIlTJ8+ncsvvzzg6ZJj7ty5fPvtt3Tt2pW1a9eSl5dHnTp1gh4rYWlpaTzzzDPbHAs2Fotx1llnBTRV8imt2w8//MBll11GLBbj559/ZtOmTVSqVAnYvEkYZqrPIaq/gwClNsVOOumkUtcVFRWV9zhJ06hRI0aNGsXjjz/O+eefL/EmjRIrV65k9OjR2938C/Mmp+rzB8AxxxzDeeedR8+ePUv9TvzSSy+F+rwrFeV3EEsdb0ybWYVXWFjI6NGjWbRoEQMHDmTRokUsXrw4/m6RsDnzzDOZO3cuRx55ZPyyAw88kJEjR3L33XcHONmuGzlyZKmvS/5xsWLFilD/4jNo0CCuv/56otFo/JfwxYsXU1RUxAMPPBDwdLvmkksu4bDDDmPatGnMmjUL2Lype/vtt4f2mJUA99xzD8OHDycrK4vHHnuMV199ldtvv52GDRty1113BT3eLunZsydHHnkk//73v+Mn52nYsCFjx46lYcOGAU+368aOHcsLL7zAxo0b6dq1K7/88gu33nprqF+kPPjgg1mzZg1Nmzbd5ro999wzgImST23dbr311vh/d+rUidzcXCpVqsTSpUtD+4mtEqrPIaq/g8Dm55CSjfZrr702fvmiRYtCexz3EtFolCuvvJIvvviCyy+/nNzc3KBHSoqjjjqKr7/+GoDDDjuMZcuWUadOHZYuXUqtWrUCni5xPXv2pF27drz++utSzx8At912G5MnT2by5MksWbIE2Pw78emnn06XLl0Cni5xFeF3EEstn/zQzCq8O+64g+LiYmbNmsW0adNYu3Yt5557LhMnTgx6NKtAYrEYc+fOLXWW7kMOOUTmnT1mu4suXbrwwgsv0Lt3b15++WUATj31VF599dVgB9sFGzduJBqNhv4TFr9Fcd3MdneFhYUUFhZSuXJlYPM7/cO8OZiXl8eiRYto3Lhx0KOYyagIv4NYavkd02ZW4X3xxRdMnjyZrl27ApuP8xX2j2SWHIuzadOmLFiwgHfeeYcmTZqE9l3gJVavXs1TTz3FXnvtRZ8+fXj44YeZOXMmBx10EFdffTV77LFH0CMmLBKJ0Lx5c5o3bw5s/segyqb0u+++y9SpU0ttunfu3DnUH1vcnssvv5zHHnss6DF2WcnjbO+99+bss8/mkUce4eOPP5Z4nAFkZmbGN1lKhP34sCXHOB8/fjw9evQodd32LgsjxXVTfW4sKCjgueeeIxKJ8Oc//5l///vfTJkyhSZNmnDJJZeEevPi9ddfZ/LkySxevJj09HQOOuggzj//fJo0aRL0aCkRjUaJRn/dMrjiiiuYNGlSgBMlpri4mLS0NCpXrhzflF6zZs12j/cbJmvWrOGNN94o9RzSqVOn0P+c3pGHHnqIq6++OugxdkleXh6rVq2Kf0KyxP/93/9x0EEHBTTVrin5HaQs119/feg/CWqpEe4za5iZJUHJMR1LFBUVhfrkGmPGjOHiiy/mggsu4JlnnuHqq6/m+++/Z+DAgYwbNy7o8XbJrbfeypo1a5g9ezYXXnghP/zwAxdeeCFpaWnccccdQY+XsDlz5tCzZ0+uuOIKli1bxp///GcOOeQQTj75ZL766qugx9slDz30EI8++iitWrXiL3/5C3/5y19o1aoVjz76KA899FDQ4yXVjz/+GPQISVHyOPvss8+48MILWbRokcTjrETNmjX5/vvv4y/8TJw4kb333jvgqZJj7Nix21z23HPPBTBJ8qmtm/Jz45AhQ/jkk0/4z3/+ww033MBrr73GaaedxsKFC0O9KfG3v/2N8ePHc/jhh1OtWjWOPPJIGjVqxMUXX8ybb74Z9HjlImy/H3/55Zccd9xxtGjRgksvvZRVq1bFrzv33HODGywJXn/9dU4++WTef/998vLyyMvL4/3336dz5868/vrrQY+XEpMnTw56hF3y/vvv06FDB0477TS6devGwoUL49fdcMMNAU5WPr799tugR7DdlN8xbWYVXpMmTZg8eTLFxcUsXLiQkSNHhvrYty+++CKvvvoqGzZsoFOnTvzrX/+iXr16rFq1ivPPP5/evXsHPWLCfvjhB/7+979TWFhIhw4deP/994lGoxxzzDGcfvrpQY+XsHvuuYdzzjmHdevW0adPH/r168dTTz3F22+/zeDBg3n++eeDHjFh06ZN49VXX93mHXI9evSgc+fOoX/ny5bC9g/2HVF9nJW45ZZbuOaaa5g/fz4dO3YkOzub4cOHBz3WLpkzZw6zZ89m1apVjB49On75unXryM/PD3Cy5FFbN+Xnxs8++4wpU6awadMm2rVrxwcffEBWVhadOnWie/fuQY+XsDfffJMpU6aQnp5Oz549ueiiixgzZgwnn3wyl112GZ06dQp6xJQL2ye5hg4dyh133EHLli0ZNWoUZ599Ns888wx169YN/c/shx56iBdffJEGDRqUuvyHH37gggsu4E9/+lNAk+2abt26bffyWCzGypUry3ma5Hr44Yd59tlnadKkCePHj+e8885j+PDhNG7cOPT3R7Nd4Y1pM6vwbrrpJu677774yWs6depU6sQvYZOenk7VqlWpWrUq++yzT/yjYjVr1gzdPyh2JBaLlXpneyQSCfUvdHl5efENv5EjR3L22WcDcMoppzBixIggR9tlsVhsu2tTXFwc6jXbnrCehG1H1B5nJfbdd19eeuklvv/+e2KxGPvvv3/oDwmxbNky5s2bR15eXvxkWABVq1Zl6NChAU6WPGrrpvzcWHLoh0qVKtGwYUOysrKAzYdjCfOapaenx+fPyMhg3bp1wOYTsxUVFQU5mu3Axo0b+eMf/wjAVVddxf7770/fvn155plnQv87cXFx8Tab0hD+++MPP/zAgw8+GH/eKBGLxUL9gh1sPkxfyQkCe/bsSYMGDbjooov4+9//Hvr7o9mu8Ma0mVV4VatWZdCgQQwaNCjoUZJiy19GL7/88lLXhf2dc3/4wx+48sorycvLo0OHDlx//fWccMIJvP/++xxwwAFBj5ewgoIC8vLy2LBhA7/88gsrVqwgJyeHjRs3smnTpqDH2yXdunWjR48enH766dSvXx+AxYsX88orr3DGGWcEPN2uGzduHJ07d6ZatWo89NBDfP7559x8880cdthhQY+WMNXH2ZIlS0p9XfKP3qVLlwJsc7zHMOnUqROdOnXi3XffDf3xibemum7Kz40lL2qlp6fz97//PX55YWFhqDfMDjnkEG666SaOPvpo/vWvf8Wf5/Py8igoKAh4uvIRthdNcnNz48eXhs0nUc3IyODcc88N/e/EzZs35+abb+ass86KPw8uWbKE559/nkMOOSTg6RLXrFkzqlWrRps2bba5LiMjI4CJkmfTpk3k5+fHPynTrl077r33Xi6++OIK8xxitj2RWNh+upiZJcnLL7/8m9eXnAwxbMaOHUuXLl3Izs4udfl3333HqFGjQr0Bv2nTJsaNG0ckEqF379689957vPTSSzRo0IDLL788tCexGTFiBOPGjaOwsJB+/frxxhtv0LhxY2bPns1xxx0X+neIfPLJJ0ybNi2+wVSvXj1OOumkUB8yp8Rpp53GlClTmDVrFg899BAXXnghjzzyCOPHjw96tISpPs6OPPLI+DuSfvnll/i7OgsLC9ljjz2YMWNGkOMlncrJOJXXTfW58fPPP6dZs2bbnMNj0aJFfPTRR5x55pkBTbZrcnNzGT58ON988w0HH3wwAwYMoFKlSqxfv54ff/wx/k5IZY8//jiXXnpp0GPstJtvvpkTTzyRY489ttTlr732GjfccANz584NaLJdl5eXx1NPPVXqOaR+/fr86U9/on///tu84zgsFi9eTHZ29nZ/18jLy9vmJLhh8tBDD9G2bVuOPvroUpd/8skn3HbbbbLHBi/RvXt3JkyYEPQYthvyxrSZVVhXXHEFABs2bGDmzJkceuihRCIRZs2axWGHHcZTTz0V8ISWqFGjRtGvX7+gx/hd5s2bB0DTpk358ccf+fe//03Dhg054YQTAp7Mfku3bt2YNGkSjz/+OHXq1KFnz57xy9SF8XEG8MADD7DvvvvSo0cPACZMmMCiRYtCfQin7VG7H1aUdatIHnjgAa6//vqgx0i6sD43AgwbNmyby6pXr06rVq1o0aJFABPZrpo1axaHHnpo0GMknerzB4R3zS655JJSn5LZ0WVmW0sLegAzs6A8+uijPProo1SuXJkJEybwzDPP8PTTTzNhwgSqVKkS9HhJtfUhPdSV9W743VHTpk3j77Zq0KAB3bp1k9+UDvNJHUtEIhFee+01pk2bRvv27QEqzMcxw/g4A3j//fc588wzSUtLIy0tjZ49e/Lee+8FPVbSqb33RHHd3n33XW644QbOOecczjnnHG644QbefffdoMcqNx9++GHQI6REWJ8bAebPn8+4ceP4+eefWbp0KePGjWPmzJlcf/31pU6sGiZFRUXMmDGDiRMnMnHiRGbMmBHqQ8r8XkOGDAl6hJRQff6A8K7ZTz/9tM1lP/zwQwCTWNj4GNNmVuEtWrSIxo0bx78+6KCDWLBgQXADpcCPP/4Y9AjlSmFDpkePHrz11ltBj5FSTz75JGeddVbQY+ySO++8kyeffJKePXtSv359vv/+e4488sigxyoXYX2cFRQUMH/+/Pjxsr///vvQH2t0e9ROxqm2bg899BDvv/8+3bt3p3PnzsDmj7A/+uijfPbZZ6E/hNPOCOtzSFnC3LVmzRpefvllcnJyAFixYgU33HADL7zwAmeffTZ9+/YNeMLf59NPP+Xaa6+lbt268eMwL168mGXLlvHXv/411OeD2Flhvj/+FtUuCF/buHHjGDduHAsWLKBbt27xy9etW8eBBx4Y4GQWFt6YNrMKr2rVqkycODH+g3TSpElUrVo14KmSK2y/4OyqsJ3ZenvHE123bh2HHXYYkUiEmTNnBjBVclx22WXbvTwWi/HLL7+U7zAp0LJly/hHFNesWcP+++/PbbfdFvBU5SNsj7MS1157LWeddVb8EwrffPMN99xzT8BTJUe/fv046qijOPLII2nevHnQ4ySV2rpNmzaNV199NX4SrBI9evSgc+fOFWJjOqzPIWUJc9fSpUvjm9IAOTk5LFu2jD322CN+fPcwueuuuxg2bNg2z4dz5szh1ltvZcqUKQFNVn7CfH/8LapdEL62o48+mv3335+BAwdy8803xy/Pzs6mSZMmAU5mYRG+ny5mZkl2zz33cMMNN3DHHXcA8Ic//IF777034KmSS+2dc2qaNm3KfvvtxwUXXEBaWhqxWIyzzz6b5557LujRdtn777/PLbfcss2Z1GOxGJ9++mlAU6XGueeeK3VMX1XHH388r732Gl988QUArVq1ombNmgFPlRyXX345H3zwAffccw8LFy7k0EMPpV27dpx99tlBj7bL1NYtFott90Xj4uLiCvdisu0+6taty7Bhw+jevTuw+VjuderUoaioKHSbZQD5+fnbfZGuRYsWof7EhdnupH79+tSvX5/Jkydv82LrmjVrQnvSbCs/3pg2swrvgAMOYPz48axfvx7Y/OqugnHjxtG5c2eqVavGQw89xOeff87NN9/sjy3uhkaPHs0zzzzDLbfcwqBBg9h///2JRqPUr18/6NF2WdOmTWnWrNl2/2H4yCOPBDBR6oTtfrerwtxbq1YtjjvuuKDHSLq2bdvStm1bzj//fN544w2GDRvGu+++K7ExDVrr1q1bN3r06MHpp58ef65fvHgxr7zyCmeccUbA05WPMD+H/JYwd917770MGTKErl27AnDkkUcydOhQCgsLue+++4IdLgENGzZk2LBhnHXWWdSqVQuAlStX8vzzz9OgQYOApysfYb4//hbVLghv25lnnsmjjz7KPvvsA8Bnn33GjTfeyBtvvBHwZLa7i8TCeq83M9tFCxYsYL/99mPevHnbvb7k48JhddpppzFlyhRmzZrFQw89xIUXXsgjjzzC+PHjgx5tl+Xn58dfkf/hhx/49ttvOeaYY0hPTwdg3rx5oVy///u//+P222/nT3/6E2PGjGH69OlBj7TLvvzyS+rUqUPdunW3ue77779n//33D2Cq1Ljiiit49NFHgx4jadQeZ3369OHZZ5+NHyKnRCwWC/0hc0o89NBDfPTRR+Tn53PEEUfQrl07DjvssFCf0Fd53T755BOmTZvGkiVLAKhXrx4nnXTSdg/vFEY//fQTtWrVIjMzk1mzZvH111/TtWvX+BsAVq1aFcp3vas9NypbtWoVf/3rX5k2bVr8hIfp6emcdNJJXHfddfHNamUvvfQSPXv2DHqM3031+WNnhHXN/vWvfzF06FBuvPFGlixZwrhx43jggQdo3bp10KPZbs4b02ZWYV144YU8+eST2333VSQSCf2J57p168akSZN4/PHHqVOnDj179oxfFnbdu3dn1KhRFBQUxN9t1rhxYwYNGhT0aLussLCQYcOG8cknnzB27Nigxyk3o0aNol+/fkGPkbAtNypUqD3Oli1bRp06dVi8ePF2r1f4hMJRRx1Fw4YNOf300znqqKPYd999gx5pl1WEdfstYX5u7NatG+PGjeOXX37hzDPP5NBDD6WwsDD0L+CpPTdubenSpfzf//0fmzZtil92/PHHBzhRcpSc12KPPfYIdI5k2/KYviWqV69Oq1atOPnkkwOYKDlUnz9Ad81g8/HbzzrrLGrWrMnkyZNlXzyw5EoLegAzs6A8+eSTAEyfPn2b/4V9Uxo2b66/9tprTJs2jfbt2wNQUFAQ8FTJUVRURHZ2Nu+++278F9fZs2cHPVZSRKNRrrrqqu1uSj/wwAMBTFQ+Xn755aBHSMi8efM49dRT6dSpEwBz587l/vvvD3iq5FB7nNWpUwf49ViIW/9PwQcffMDAgQPZtGkTd999N507dw79yTgrwrr9lrA+N5aoVKkS77zzDr169eJvf/sbCxYsCHqkXab23Lil8ePHc9ZZZ3HFFVfw+OOPc/nll/OPf/wj6LGSYo899ii1Kb169erghkmijIwM5s6dyz777MO+++7LV199xZo1axgzZgx/+9vfgh5vlyg+f4Dums2ZM4frrruOK664gjZt2nDdddexatWqoMeyEPAxps2swio5pvSOhP1Y03feeSdPPvkkPXv2pH79+nz//fcceeSRQY+VFCUb7B9//DGnnXYaAGlp+q+1fvjhh0GPkDJh/QDX3XffzcCBAxkyZAgABx98MDfeeCM33HBDwJPtOrXHWdeuXX/z5F0KnyaBzZsv1atXp1q1avzyyy98+eWXQY+0SyrKuu1IWJ8bYfMnSfLz8/nggw9C+67v7VF7btzSqFGjmDRpEv369WPixIl88sknTJw4MeixUqJbt2688847QY+xy+bPn8+4ceOoWrUqAOeccw4DBgzgqaeeonv37lxzzTUBT5gY1ecP0F2zq666ivvvv5+2bdsC8Oyzz9KzZ0+JN3xZanlj2swqrLZt2xKJRLb7j75IJMLXX38dwFTJ07JlS/7+978Dm8+IvP/++4f+nXMljjjiCE455RSKiooYNGgQa9asiR/bUVmYNyjK8lsbT7uzDRs2xH8Bh80dGRkZAU6UPGqPs1tuuSXoEVLuT3/6EwUFBbRr145jjz2WW265JfTHUK0I6/ZbwvrcCNC5c2eOOuoo9ttvP9q0acOyZcvIysoKeqxdpvbcuKWMjAxq1KgRPx7zYYcdxj333BPwVIn7rQ2xLQ9VEmarVq2Kb3ACVK1aldWrV5OVlRXqQ4ypPn+A7pqNHz++1KE7+vTpQ5s2bQKcyMLCG9NmVmHt6KSHis4991ypd5XdfvvtzJs3j4YNG5KRkUFRUVH8Hauw+WREDRs2DHDC1AjzBoWqaDRKQUFBfG1++uknmXfOqT3OtndCuXXr1vHTTz/RuHHjACZKvieffJL99tsv6DGSqiKsm6pLLrmEPn36kJ2dTSQSoWrVqhLHh1V7btxSZmYmsViM/fbbj2eeeYb69euzcePGoMdK2GWXXcZhhx223Rf2N2zYEMBEydekSRNuvvlmunfvDmz+FEnjxo3Jz88P9e8jqs8foLtmGRkZDBo0iMWLF/Pkk0/y7bffMn/+fP7whz8EPZrt5nzyQzOr8Mo667OCrl27hv44lb+Hykket6baBeG9j06ePJmpU6fyzTff0LVrV6ZMmcJ1113HKaecEvRoKRfW+2P//v156KGHSE9Pj38Mv0uXLlx55ZUBT5Yc06ZNix/256ijjuKkk04KeKLkUF+3HQnrc2OJqVOn8uGHHxKJRGjfvr2fG3dzM2bM4JBDDmH16tXceeedrF27lmuvvTZ+rpKwOemkk/jHP/5BgwYNtrmuY8eOvPvuuwFMlVwbNmzg8ccf56OPPgI2v6P/0ksvpXLlyqxduzbUJ59Tff5QXbOrr76agw46iNdee41XX32VvLw8evXqxeTJk4MezXZz4X05xswsSS655BJisRhLly7lmmuu4bPPPpP76PA+++wT9AjlSvU11zB35efnx//7hx9+4O23345/VBjg3nvvDWKsXdalSxcuuugiTj31VAoKCrj//vtl/uFUlrDeH1euXEn16tV59913Oe6443j99dd58803gx4rKYYNG8aIESNo1KgRBx54ICNGjIgf0inslNdt48aNfPrpp8yaNWubd6eG9bkR4L777uOf//wnjRs35qCDDuLpp5+WOTnsbwnrcyPAnnvuSbVq1dhnn314+umnmTBhQmg3yWDziwQ7Oslh7969y3ma5Bo8eDAAb775JjfccAMTJ05k4sSJ3HjjjWRnZxONRkO9dorPH+prtmDBAi655BKi0c0HZqhcuXKonw+t/PhQHmZmlD7r8yWXXMLpp58e9EhJpfLRt50V1kNelPXu/X/+858BT5i4s846i1GjRlFQUMCf//xn6tevz9tvv82gQYMAaNq0acATJq5NmzYV8hh6YX2cFRYWAvDpp59y9NFHk5GRIXN82Ndff50XX3wxfhzOnj17xn+uhZ3qus2YMYNrr72WunXrEovFWL58OQ8++GD8ZMVhfm6cPn06kydPpnLlygD06tWLLl26SJwc9reE9bkR4Oabb97m3d7buywsLrzwwh1ed/HFF8f/O4yHX/nkk08AeOaZZ+jSpUvA0ySf4vOH+pptfY6VvLw8b0zbTvHGtJlVeKpnfV67di3jxo3jhx9+iP+DHmDo0KEBTmW/5ZJLLmHcuHHxd+8feuihzJw5M/7CQpjfRVFUVER2djYvv/wy3bp145prrol/HD/MfvzxR0aOHLnN42z06NEBTmW/5aCDDuIvf/kL8+fP5/rrryc3NzfokZJqy5NDValSJcBJkkt13e655x6eeOIJWrZsCcCcOXO49dZbmTJlSsCT7bpq1aqVOpFXNBqlevXqAU5kO7Jy5UqWL19OXl4e33zzTXwzaf369aE+xvTOuuKKK0K3+b733ntz8skn89NPP9GtW7dtrg9bz9YUnz/U1+yII47giSeeYNOmTXz44Yc888wznHDCCUGPZSHgjWkzq/BUz/p8xRVXULNmTVq1aiXxrrLfI8yvzqu+e7+goACAjz/+OL4hHeYTvJS46qqraNeuHWeffbYfZyFx77338t5779GkSROysrLiLwSVyM/PL/WP4TA55JBDuP766znzzDMBGD9+PM2bNw94quRQXbdIJBLflAZo0aKFxHMjQKtWrejfv3/8nYFTpkyhVatWvPXWWwAcf/zxQY6XMmF8bnz11VcZNWoUy5YtK/VO4mrVqvGXv/wlwMnKRxjXbNiwYXz11Vdcf/313HzzzUGPk3SKzx/qa3bllVfy1FNPkZ2dzd/+9jc6derEgAEDgh7LQsAnPzQzY/O7i7Ozs0lLS2PDhg2sX7+eunXrAjBr1iwOPfTQgCf8/Tp37szUqVODHiMQjz/+OJdeemnQY/xunTt3ZtKkSVx33XX069ePQw89lNNPP51XXnkl6NF22aBBg/joo48oKiri1VdfZePGjZx33nlMnDgx6NF2yWmnnSbxzsZEhPVxVpYwn7hs48aN/P3vf4+f/LB9+/ZccsklUu+c3pGwrtt9993HQQcdFH/33OTJk/nf//4X6o+rlzjnnHN2eF0kEpH9ZEmYnxvLmj2Mh7zYGWF9/gD47rvvaNSoUdBjJJ3y84fqms2bN2+bw09t7zKzrXlj2sysDGH9ZfWiiy7i/vvvD/3H3rZnzZo1PPjgg8yYMYNIJEK7du245pprqFGjRtCj7ZK///3vPP300+y33368+OKLLF++nMsvv5wXXngh6NF2WSwWY968eTRs2JDs7GxWrVrFzz//zB/+8AcgvP/Yvfbaa7n22mupV69e0KMknerjrCxdu3bl5ZdfDnqM362oqIibbrqJBx54IOhRAhHWdTvssMNYt25d/GRRhYWFVKtWDdi8+TJz5swgx7PtqKjPjRDe34nLEuauW2+9leuuu44999wTgFWrVvHwww/Hz+Fhux/VNdve4yjMjy0rPz6Uh5lZGcL2+l3JMaSzsrLo1q0bRx99NJUqVYpfr/DRsZtuuom99tqLxx57DICXXnqJm266iSeeeCLgyXbNJZdcQp8+fcjOziYSiVC1alWZE1dGIhGaNWsW/7pmzZqljpkdxuM7wuZ/THTp0oVWrVqVepwNGzYswKmSQ/VxVpawnrgsPT2dBQsWBD1GYMK6bmHcTN9ZhYWFjB49mkWLFjFw4EAWLVrE4sWLadeuXdCj7ZKK+twI4fudeGeFueu///1vfIMTNv9+9eWXXwY4UXKoPn+A3ppV9GPU267zxrSZWRnC9o/dkndaVatWTfJjYgALFiwo9Q/A22+/nZNPPjnAiZLnvffe48MPPyQSidC+fXtOOeWUoEcqF2H9R+Hpp58ucxzwrSk/zlQdccQR3H777XTr1q3U4Tv8MdrdV/369X/z+n79+jFq1Khymia5Bg0aRHFxMbNmzQJgjz324Kqrrgr9IZwq8nNj2H4n3llhPkFbUVFRqa9jsVj8vB5hpvr8AXprVtGPUW+7zhvTZmZiLrvssqBHSLk6deqwatWq+DtuV61aFT8meJjdd999zJw5M77R+fTTTzN37lyJY42WJaz/2N3eWdVVqD7OyhLWF0kAXnvtNQA++OCD+GWRSCR+sihlYV6337JmzZqgR0jYF198weTJk+natSsA1atXp7CwMNihkqCiPjeGWWFhIf/+979ZtGhRqftgye/MYT0mOEDLli0ZNGgQ/fv3JxaL8c9//rPUCVXDSvX5A/TWrF+/fvTr16/CHqPedp03ps3MyqDwj91evXpJHKe4RI0aNTjttNPo2LEjAP/5z3849NBD44cxCevhSqZPn87kyZOpXLkysHndunTpUiE2psPmn//8J+eff378Pre1sN4Ht6T6OCtLmP9xOH369KBHCEyY1+23hPVFO6DU4Y1g87sEFX6nqqjPjRDe34mvueYali9fTosWLUhLSwt6nKS66aabuPvuu+nRoweRSITjjjtO4j6o+vwBumtW1gs8YT1sn6WeN6bNzMpw9tlnBz3CLtu0aVPQIyRV48aNady4cfzr3r17BzhN8lSrVo3MzMz419FoVPLkldsTtn9slBwmoeTQOYrUHmdlvWv4+OOPB+Cuu+4qj3FSYvr06bRt2zb+vLFmzRpmz57NH//4x2AH2wUVYd1UNWnShMmTJ1NcXMzChQsZOXIkhx9+eNBj7TK158bfI6yHvPjmm2/417/+FeoXenYkOzt7hy+SA0ybNi2Uh5pRff4A3TUrS9h+17fyE4n53mFmFdRv/UIAWu946d27N+PGjQt6DCvDkCFD+O677+jSpQsAU6ZM4YADDuDII48Eft2AUVTWx//MdtU555yzw+sikQijR48ux2lSo0uXLkyePDn+dSwW44wzzgj1O5Qqwrr9lm7duoV2/TZs2MB9993Hm2++CUCnTp246aabSh3/3HYvZR3yIqzOPfdcRowYUerF/4oirM8hFfn5I6xrVhbVLtt1fse0mVVYyu903JrapnRubi6TJk1i4cKFpU4gcttttwU41a775ptvAJgwYUL8snnz5jFv3jwikUioN6bXrFnDgw8+yIwZM4hEIrRr145rrrmGGjVqAOE9vuOwYcO2uax69eq0atWKFi1aBDBR8qg9zsaMGRP0COUuEolsc5KlsKmI67alvfbaK+gRErZp0yYGDRrEoEGD4petWrUq9BtLas+NW1I95MU+++zDOeecQ6dOnUodIqJv374BTlU+wvo+RNXnj50R1jUzS5Q3ps2swgr7uz9+j/POO4+nn3466DGS5rLLLiMjI4NDDjmE9PT0oMdJGuUNmJtuuom99tqLxx57DICXXnqJm266iSeeeCLgyXbN/PnzmTlzJn/84x+JRCK8/fbbtGrVirFjx3L22WeH+h+9qo8z2Pwx2Q8//BCADh068Kc//SngiZKjatWqfPbZZ7Rp0waAWbNmUbVq1YCnSh7VdVu2bBk//vhjqU3Oww47DCDUz5H9+/ff5t1x27ssbJSfG1UPeVFQUMABBxzA/Pnzgx6l3IV1LVWfP3ZGWNesLN5wtx3xxrSZVXjr16/nwQcfLPWP3auvvprs7OyAJ0vM9jbcP//88/jl23uHZ9j89NNPvPbaa0GPkXSFhYWMHj2aRYsWMXDgQBYtWsTixYtp165d0KPtsgULFpTaYLn99tsljp+3Zs0aXn75ZXJycgBYsWIFN9xwAy+88ELoN6ZVH2fDhg3jrbfeokuXLkQiEZ588km+++47LrnkkqBH22XXX389l112GQcccACxWIyFCxfy+OOPBz1WUqiu2xNPPMFTTz1Fw4YN4+9QjUQijB8/PuDJEpefn09+fj5FRUWsX78+fvm6devYuHFjgJMlh+pzI8Dee+9NQUGB3CEvyjp8n+0+1J8/KrKwHqPeUs8b02ZW4d11111kZWXx8MMPE4lEGDduHHfddRcPPPBA0KMlZPbs2Rx77LEceuihwOZXpz/99NNQHwZiawcccACrVq2iZs2aQY+SVIMGDaK4uJhZs2YBsMcee3DVVVcxceLEgCfbdXXq1Cm1ZqtWraJu3boBT7Xrli5dGt+UBsjJyWHZsmXsscceRKPh/jVL9XH2+uuv8+KLL5KVlQVAz5496dWrV+g3OAFat27Na6+9xueffx7/WuUEqqrrNmHCBN544w323HPPoEdJmhEjRjBs2DAikQht27aNX56dnc15550X4GTJofrcCLqHvFi3bh0PPfQQS5YsYfjw4Xz77bfMmzePU089NejRUi5s71JVf/7YGWFbM4AffviBn3/+mebNm1O5cuX45R988AFHHXUUEN7D9lnqhftfTGZmSfDNN9/wyiuvxL8eOHAgp59+eoAT7ZpXXnmFO++8k//9739cffXVZGZm8vjjj9OtW7egR0uaq6++mt69e9O8efNS7+oJ+ztivvjiCyZPnkzXrl2Bzccq3vLkQ2FWo0YNTjvtNDp27AjAf/7zHw499ND4moX1ZKP/r717DauqXNvGfw5whyAaapkKmZbK4xZFFK3XUHyklAAVN4tXU7TWyrCyIqVkUYq7bKUiauqjsXBpWCAihqhhtsp9iLosqd4MlDS1UETcsHH+P/Cf82EqbplwM65x/o6jIxnzy+lxM27hujfXI488gtjYWAwfPhxAeZHp4YcfRllZme6PYkp9zwBYipsAxN1X2bhxY/Tv3x/JycliitJmEsetWbNmoorSQPnJrbCwMERFReH9999XHcfmJM+NUq+8+Pvf/44nn3wSBw4cAAC0bt0ab775piEK01OnTlUd4b5Inz/uhd7GbPPmzZgzZw6aN2+OS5cuYdGiRfDw8AAAfPjhh5bCNNHtsDBNRIZ348YNXL582XJ1R1FREW7cuKE41YNr2rQpYmNjkZiYiJCQEERGRqqOZHMzZsxA9+7dxd3vWHF3EgCUlZXpctdEZdq3b4/27dtbvh49erTCNLYzb948REdHWxYT+vTpg7lz56K0tBTz589XG66KpL5nnTt3Rnh4OEaOHAkASExMRJcuXRSnsr34+HhRC5JSx61v376YPXs2/P39rYqcHTt2VJjKNv72t7+huLgY9erVQ2ZmJo4fP47AwEDdXpVmJnVuBO5eXN+6dasur+HKycnBwoULsX37dgBAgwYNxPx8NXbs2FsWws1NmMeNG2fZEKA3UucPQN6YrV69Gps2bUKLFi2wZ88eTJ06FXPnzoW3t7eY94yqFwvTRGR4gYGBGDVqlOUH7fT0dAwbNkxxqqobMWIEevfujXfffRdFRUWq49jUpUuX8MEHH6iOYXMdOnRASkoKbty4gdzcXKxatQpeXl6qY9mE1GajzZs3x+LFiyv9rEOHDjWcxrakvmeRkZFYtmyZpQDTt29f3V8HURlpvwxKHbdNmzYBADIyMizPNE2z+lqvJk+ejISEBJw9exZvvPEGevbsiQMHDiAmJkZ1tCqROjfei5UrV+qyMF23bl2rr69duyZmjuzcuTN+/PFHBAYGQtM0bNq0CQ8//DCOHTuGWbNmYdasWaojPhCp8wcgb8xMJhNatGgBoPzf5hUrVuDll1/GrFmzdH96kGoGC9NEZHiTJk3Ck08+iX379gEA3n77bfyf//N/FKeyDVdXV8THx1s1D5GgY8eOOHv2rIg7iiuaPn065s+fjz/++ANjxoyBr68v3nzzTdWxbOLq1atITk5Gbm4uysrKLM9nzJihMJVtHDlyBCdPnrT6e5l3UOuZxPesrKwMUVFRuu0hcD/Gjx+vOoLNSB63nTt3qo5QrerXr49du3ZZ7gPX81VpZhLnxnul12Ju7969sXz5cly/fh179uxBXFwc/vu//1t1LJvIysrCunXrLLv3/fz8EBISgvXr18Pf319xuqqROH8A8sbMZDJZnT7u0KEDVq5ciZdeeknc5iiqHixME5GhlZWVwd/fH2lpabo7NnU3QUFBGDFiBPz9/cXdM5qfn4+hQ4eie/fuVtdfxMbGKkxVddevX8fMmTMxc+ZMy7P8/HwRd6mGhYWhbt264o4+R0VF4dtvv4W7uzvs7OwAlO92lFCYlvie2dvbIycnR3WManX69GkcPHgQdnZ2OH36NFq2bKk6UpVJHLcrV66gYcOGt104lnBcvbi4GMXFxdi9ezdeeOEF1XFsRuLceK/0uvvxtddew+rVq+Hk5ISPPvoIvr6+ePHFF1XHsokLFy5YjYumaSgoKECdOnVuuSJOT6TOH4C8MRs5ciSOHTuGPn36WJ498cQTWLVqFWbPnq0wGekFC9NEZGj29vZwcXHB1atXrZoqSRAREYGNGzciJiYG3t7eGD58OJ566ind/lJR0fPPPy9m10RFEydORHJy8l2f6dGZM2eQlpamOobN7d27F2lpabr8ReJupL5nvXv3RmRkJIKCgqwWfSTc6Zuamoro6Gj06tULJpMJc+bMQWRkJIYMGaI6WpVJG7eQkBAkJyfD09MTmqZZ7UTVNA3Hjx9XmM42hgwZgn79+qFNmzbo0aMHzp07J+JnLalzo2R16tTBX//6V/z1r39VHcXmvL298eKLL1p22m7ZsgV9+vRBUVGR1b31eiN1/gDkjdnYsWMrfd6uXTusWbOmhtOQHmkmvZ7HISKykXfeeQc//PAD/Pz8rH7ZHTdunMJUtnPlyhWkp6cjOTkZp06dwq5du1RHshlzUxS9M+8K+ctf/oL169dbnhcWFmL8+PHYtm2bwnS2ERYWhpkzZ8LFxUV1FJsKCQnBv/71LxELPrcj5T0zGzBgwC3PpNzp6+fnh1WrVsHV1RUAkJeXh0mTJiE9PV1xsqqTPG6SXbp0CU5OTrCzs0NRUREuX75suQIjMzMTPXv2VJzwwUmbG+9FYGCg5V50PYiPj7/j5xJ+1i8tLcWGDRssVxL26dMHo0aNQp06+t+DKHX+kDhm2dnZAMoXi3NycrBr1y506NAB3t7eipORHuj3O5+IyEZMJhPc3d2Rm5urOkq1uHLlCvLz8/Hnn3+iUaNGquPYxI8//og333wTly5dwr///W8cO3YMaWlpePvtt1VHeyArV65EbGwsNE2Dp6en5bmTkxMmTJigMJntTJ06FaNHj0aXLl2sfpE3NzLTq65du+LVV1/Fs88+a7VreuDAgQpT2Ya098xM8p2+Dg4OlqI0ALRu3VrMDjPJ4wYAly9fRmlpqeXrJk2aqAtjQxWvEnN0dISjo6Pl6+joaF2eCJI6N96LqVOnqo5wXyScPLibOnXqICQkBCEhIaqj2JzE+QOQN2Zr167FmjVrUFpaiokTJyIlJQVdu3bFp59+igkTJmD06NGqI1Itxx3TRGR4+fn5t+zirOyZ3mzfvh0bN27EkSNH4Ofnh6CgIHTt2lV1LJsYO3YsXnvtNURHR2PTpk0wmUwYOnQovvjiC9XRqiQqKgrvv/++6hjVYsyYMXB1db3ljmm9/1Be2fFFTdPuuktLD6S+Z5MnT8ayZcvu+kyPFi1aBHt7ewQHB8NkMiEpKQk3btxAaGgoAH3fWyx13NLS0jBr1iwUFBRYTl5omoZjx44pTlb99Lb71kzq3Hg706ZNw/z581XHqFZbt27Fs88+qzrGA0tLS0N2djauX79ueRYREaEwUfXT6/xhJmnM/P39kZCQgKKiIvj6+iI9PR0tW7ZEfn4+QkNDdT1OVDO4Y5qIDE/qvb4JCQkYNmwYFi9eLO7+26KiIqudxZqmoW7dugoT2cbf/vY3y9HgzMxMHD9+HIGBgbouJpldunQJH3zwgeoYNrd27VrVEaqN1PfszJkztzw7deqUgiS29/HHHwMAli5davV82bJlur+3WOq4/eMf/8DKlSvRpUsX1VFqnF6vQJI6N97O/v37VUeoditXrtRtYTo6Ohp5eXk4duwYhg4divT0dPTt21d1rGqn1/kDkDdm9vb2lh3tbm5ulqbLLi4uuh4nqjksTBORYZnv9S0rK8Ply5ctzwsLC3HlyhWFyWyjYrOJ5ORkBAUFKUxjW3Xq1EFJSYnlh50zZ87Azs5Ocaqqmzx5MhISEnD27Fm88cYb6NmzJw4cOICYmBjV0aqsY8eOOHv2rOVuQClKS0sRHx+PkydP4r333sPJkyfx22+/ibhTT9p7lpCQgISEBOTk5FjNh4WFhXjiiScUJrMd8x2Pkkgft+bNmxuyKK1n0uZGAPDy8qr0uclkQlFRUQ2nqXl6PkS+f/9+pKSkIDAwENOnT8fEiRMxffp01bHoDqSNWVlZmeXPU6ZMsfqsuLi4puOQDrEwTUSGZYR7fc3i4+NFFaZDQkLwyiuvID8/HwsXLkRqaireeust1bFson79+ti1axdGjRqFyZMn4/nnn1cdySby8/MxdOhQdO/e3WoHf2xsrMJUVTdz5kzcuHEDmZmZAMrvhX399dexceNGxcmqTtp79vTTT+Pxxx/He++9Z3Vc1snJCR06dFCYzDbKysrg7++PtLQ01VFsSvq4jRw5Eh9//DEGDx5sNTead5xJptdioLS5EQDs7OwQFxd3Sy8Sk8mEMWPGKEpVc/S8q7NevXqws7ODpmkoKSlB8+bNce7cOdWxqp1e5w9A3piNHj0aly9fhpOTEwYPHmx5/ssvv+i2QSXVLBamiciwwsLCEBYWJvpeXzM9//BWmYCAALi6uiIjIwMlJSX44IMPrBYX9Mq8i3/37t144YUXVMexqeeff15Mkb2iI0eOWHa9AOWNeio2MNMzae9Zq1at0KpVK2zdulV1lGphb28PFxcXXL16VUzDQ0D+uBUXF2P58uVYs2aNZdetpmnYu3ev4mTVT689BqTNjQDQqVMnFBQUoGPHjrd89tBDDylIRPfK0dERV69eRc+ePREeHo5mzZqhQYMGqmNVO73OH4C8MbvdWLRr1w4zZ86s4TSkR2x+SERkAJs2bbIUziRITEzEiBEj7vpMb5YtW4ZPPvkEbdq0wWeffYbz589jypQp2LBhg+poNmO+Q1uKkSNH4rPPPrM04SkrK0NgYCBSU1NVR6syqe9ZXl4eVq1ahVOnTlktIkhoWPnOO+/ghx9+gJ+fHxo2bGh5Pm7cOIWpbEPquPn4+OCf//wn3NzcVEexucoaeTk7O6N79+66vc8XkDk3XrlyBXXq1BH17/P90HMjvT/++APOzs64ceMGPvnkE1y6dAkvvPACWrRooTpalUidPwC5Y1bRlClTsGTJEtUxSCf0fRkWEZEN/Pvf/4afnx86d+4Md3d3dOzYEe7u7qpj2cTp06eRkpICOzs7nD59WnUcm1m3bt0tz9avX68giW1NnjwZGRkZ2LBhAzRNg6Ojo9X90ubrIvToxx9/xNChQ+Hr6wsAOHbsmIhmiB06dEBKSgpu3LiB3NxcREVF3fauTr2R+p69/vrrcHZ2RkhICEJDQy3/SWAymeDu7o7c3FwcP37c8p8EUsftkUceEVmUBoC6devi2LFjcHNzw2OPPYYffvgBBQUFWLt2LT766CPV8R6YxLmxYcOGqFevHhITE2/5rLJn0kydOlV1hAe2a9cu1KtXDw0aNMDLL7+MadOm4dtvv1Udq8qkzh+A3DGrKC8vT3UE0hFe5UFEhjd79mzMmDEDHh4eum9eU1Fqaiqio6PRq1cvmEwmzJkzB5GRkRgyZIjqaA/s6NGjyMrKQn5+vtUuucLCQjHNNZydnS1/Nne4NouOjkZycrKKWFUWHR2N9957D9HR0QDKjw1PmzYNb7/9tuJkVTN9+nTMnz8ff/zxB0aPHo1Bgwbp/q5R6e/Z9evX8eabb6qOUS3mzp2rOkK1kTpuffr0wbx58/Dcc89Z7Vat7EoFvTlx4gQSEhIs/46NHTsWL730ElavXo3hw4fjjTfeUJzw/kifG4HyovvNO7/Xr1+v693gQPn33s33SJt3344bNw79+/dXlKzqpI6ZtPmjIqljVhEvZqD7wcI0ERmeo6Mjnn76adUxbG7p0qVITEyEq6srgPKV60mTJum6MH3u3DlkZ2fj2rVrVrsAHR0dRRdkzPT8Q15RUZHVHZyapqFu3boKE9mGo6MjZs6cKeoOPenvWfv27XH69GlRzeUOHDgALy8vZGRkVPr5wIEDaziR7UkcNwDYvHkzAGD79u2WZ5qm3XYs9SQ/P99qcdXR0REXLlyAg4ODLq+MkDw3Si+6d+7cGT/++CMCAwOhaRo2bdqEhx9+GMeOHcOsWbMwa9Ys1RHvm/QxkzZ/APLHrKK1a9eqjkA6wsI0ERmej48PvvzyS8sVA1I4ODhYitIA0Lp1a903xPL19YWvry++/vrrO+5u2bp1q+7vn6uMnrvG16lTByUlJZa/w5kzZ0SdUADk3Kcn/T3Lz89HQEAAunfvjvr161uex8bGKkxVNZs3b4aXlxfi4uJu+UzTNBGFaYnjBgA7d+684+enTp2y+rdcTzp06ICIiAgMHz4cAJCcnIz27dujuLhYl/O/5LlRctEdALKysrBu3TrY29sDAPz8/BASEoL169fD399fcboHI33MpM0fgPwxS0hIwJAhQ9CoUSMsXLgQhw8fRkREBHr16qU6GtVybH5IRIbXq1cvFBYWokGDBqhXrx5MJhM0TcOBAwdUR6uSRYsWwd7eHsHBwTCZTEhKSsKNGzcsd3I6OTkpTlh9goKCdHvlxZ3o+e+VkpKCL774wrJjKTU1FW+99Raee+451dFsRs/j8yD0+ve9XeagoKAaTkL3w6jjptf3DCg/KbN06VLs27cPANC7d2+88soraNCgAS5dugQXFxfFCauHnsfsbkV3vRo8eDC2bt1qKWiWlpZiyJAh2LZtm64bHwJ3HzM9LpQAsucPqWPm7++P1NRUZGZmYuHChfjrX/+KxYsXG+Keeqoa7pgmIsPT8w+jd/Lxxx8DKL/So6Jly5ZB0zQxDbEqI3XNVc9/r4CAALi6uiIjIwMlJSX44IMPrK72kEDP4/Mg9Pr3NRcyzfn1fBKhMufOnUNeXh7KysoszyTsVpI+brejx/ds1qxZiIyMxJdffnnbPgJ6LirdjR7HzKxisUzKKSAA8Pb2xosvvmjZHb1lyxb06dMHRUVFur0WwuxuCwkrV67UVZHTCPOHtDEzq1OnvLy4b98+BAQE4Omnn9Z9o0qqGSxME5HhtWrVClevXrUUat3d3XV/5QUAZGdnq46gjNSCRUhIiOoIDywxMREjRoxAjx49bnkmhdHu09Pre3bu3Dm8++672L9/P4DygsWsWbPw8MMPK05WdcuXL8fq1avh6upq2RmoaZqI3UqSx+1O9PieHTx4EAAQFxeHgIAAxWlqnh7HrDJ5eXmqI9jMjBkzsGHDBsvd7T4+Phg1ahTq1KmDzz77THG66qW3hRKjzx+A/sbMTNM0pKWlYevWrVixYgUAoKSkRHEq0gMWponI8A4dOoRXX30VzZo1AwD88ccfWLJkCTw8PBQne3BlZWXw9/dHWlqa6ih0HyIiIm55Zu4a/+yzzyI4OFhBKtuQ3oH8zJkzOHbsGNq3b4/HHntMdRy6g7///e/o2bMn/vGPfwAovxPx73//u+WUiZ4lJSVhx44deOihh1RHsTnJ4ybNo48+imeffRZnzpyp9KoVvV5zYTR6LY5Vpk6dOggJCdH1Av+D0ttCCecP/Y2ZWVRUFFasWIHg4GC0atUKv/76K/r06aM6FukAC9NEZHjz5s3D4sWL0bNnTwDlheq5c+fqegeFvb09XFxccPXqVRG7v++XXn+Zqlu3LrKysvDcc89B0zRs3boV7u7uWLt2LY4fP4433nhDdcT7JrUDeXh4OBYsWAAA2L9/P6ZOnQp3d3f8+OOPiIqKwqBBgxQnrH56fc/OnDljVcx86aWXxOzKatasmciiNCB73O5Ej+9ZbGwsfvjhB4SHh1e64CqdHsesMtJOAaWlpSE7OxvXr1+3PDPi92dtZ/T5Q8+6deuGZcuWAQAKCgrw+OOPY8aMGYpTkR6wME1Ehnft2jVLURoAevToYfVDq165ublhzJgx8PPzQ8OGDS3Px40bpzBVzZg6darqCA/kxIkTSEhIgKOjIwBg7NixeOmll7B69WoMHz5cl4VpqR3If/75Z8ufly9fjtjYWPTo0QM5OTl48803DVGY1ut7ZjKZcP78eTRv3hwAcP78ed0XksxXN/Xt2xezZ8+Gv7+/1b2pHTt2VBXNZiSO273Q41xSt25ddOvWDcuXL0e7du1Ux6lxep0bAeCFF15Av3790KdPH3Tp0kV1HJuJjo5GXl4ejh07hqFDhyI9PR19+/ZVHatG6G2eNPr8AehvzCozfvx4Q+xuJ9tgYZqIDK9hw4bYs2eP5QfUvXv3ithlbDKZ4O7ujtzcXNVRasS0adMwf/58AHdvKlJb5efnW4rSQHnx9sKFC3BwcNBtcx5fX1/4+vqK60Be8ZjlxYsXLXdnt2nTxqrpnDQS3rPQ0FAEBQXh6aefBgB88803t22wpBeTJ0+2+tp8jypQ/r1a8Wu9kjZuxcXFSEpKQosWLeDj44PExETs378fTz75JMaPH2+Z81955RXFSR/cmjVr8NZbb1l28efn52PRokWYOXOm4mS2J2FuBMobHu7evRtz5sxBbm4uevbsCW9vb91fgbF//36kpKQgMDAQ06dPx8SJEzF9+nTVsWqEXhdKjDR/3EyvY1aRhOI61RwWponI8N599128+uqrlkZRJpNJRBdyPe9GfRDmhlh61qFDB0RERGD48OEAyu/Ra9++PYqLiy3fn3olrQP577//jrlz58JkMuHChQsoKyuDvb09AIguTEt4zwIDA9GpUyfL3yU0NBRPPvmk4lRVs3PnTgDlBWlPT080btwYQPlR2kOHDqmMZjPSxi0qKgrnz5/HtWvXsGvXLvz6668YPHgwvv32W5w8eRLR0dGqI1bZ999/b3W1jIuLC/7zn/8oTFR9JMyNAODp6QlPT0+EhoZix44diI2Nxddff637wnS9evVgZ2cHTdNQUlKC5s2b49y5c6pjVRsJCyVGmj8AGWNWkZubm+oIpCMsTBOR4XXp0gXbt2/Hr7/+CgB4/PHHUbduXcWpHtyBAwfg5eV12x1yAwcOrOFEtuPl5VXpc5PJhKKiohpOY3vR0dFYunQp5syZAwDo3bs3IiIiYGdnh//5n/9RnK566W1nRcVf0oODg3Hx4kU0bdoUZ8+eRadOnRQmqzrp79np06fh5uZmKWpeu3YNZ86cwaOPPqo4WdXFxMQgJSXF8rWzszNiYmLg4+OjMJVtSBu3o0ePYsuWLbh+/Tr69euHb775Bg0bNsTIkSMrbfilRzcv0plMJpSUlChKU3XS50YAWLhwIfbt24fi4mL07t0bUVFR6NWrl+pYVebo6IirV6+iZ8+eCA8PR7NmzdCgQQPVsaqNhIUSafPH3UgYs4piYmJURyAdYWGaiAxv586d8PT0RPv27QGU7zDLysrCM888ozbYA9q8eTO8vLwQFxd3y2eapum6MG1nZ4e4uDg0atTI6rnJZMKYMWMUpaq6WbNmITIyEl9++eVtj6a7uLjUcKqapbcO5GFhYZU+f+SRRzBv3rwaTmNbUt8zs1dffRXr1q275dnnn3+uKFH10TRNzA5+aeNmb28PTdNQv3591K9f39ILom7duro/IWPWrVs3zJw5ExMnToTJZMKaNWvQrVs31bEemPS5EQASExPh6uqK4OBg9OvXD4899pjqSDbx0Ucfwd7eHm+//TY++eQTXLp0SfenI6UvlEibPwD5Y3bp0iUkJCTg1KlTKC0ttTw32ileun8sTBOR4S1evPiWHWaLFy/WbWHafPxXWjd1AOjUqRMKCgoqbeRV8bif3hw8eBAAEBcXh4CAAMVp6H4UFxcjLi4Oe/bsgaZp8Pb2trofVo+kvmdmJSUlqF+/vuXrBg0aoLi4WGEi23F0dMShQ4csd55nZmZa3VuvZ9LGrWXLlpg/fz6KiorwxBNPYNasWfD398c333xjafCod9OnT8fs2bMxYsQIaJqGAQMGICIiQnWsByZ9bgSA3bt3Izs7G3v37sXs2bPx22+/wcPDQ/dXy+zatQsjRowAALz88ssAyovw5md6JH2hRNr8Acgfs1dffRUuLi7o3r275Xo7onvBwjQR0U0k7TA7d+4c8vLyrP4+ej6SuWTJEtSpU/k/XZs3b67hNLbz6KOP4tlnn8WZM2cqPcJthK7WervKwywqKgoXLlzA//2//xcAsHHjRkRFRel6d4jU98xM0zT8+eefaNq0KQDg/Pnzuv3+u1l4eDjCwsLQtm1bAEBOTg6WLl2qOJVtSBu3OXPm4OOPP4aDgwOWLFmCLVu2IDIyEq6urnj//fdVx7MJJyenO86Femt6K31uNGvSpAmcnZ3RqFEjXLx4UcS9vuvWrbulCL1+/XpdF6alL5RImz8A+WN2/vz5Sk/sEt0NC9NEZHhSd5gtX74cq1evhqurq+VYsKZpSExMVJzswZmPOle2y0XPO19iY2Pxww8/IDw8XPe7QR6UXjuQZ2VlYevWrZarSHx8fDBkyBDFqapG6ntmNnbsWIwaNcpyOmHz5s145ZVXFKeyDQ8PD6SlpeHw4cOWr52dndWGshFp4+bi4oJ33nnH8nVISIjuG8zdL701vZU+NwLA4MGDUVJSAm9vb/j4+OCdd96xLAbp0dGjR5GVlYX8/HzEx8dbnhcWFur6xAVgnIWS29Hb/AHIHzNXV1dcunRJzM8dVHNYmCYiw5O6wywpKQk7duwQsQJ/M2k7X+rWrYtu3bph+fLlaNeuneo4NUZCB/ImTZrg2rVrcHBwAFB+tYeUd07ae2Y2fPhwtG7dGl9//TWA8rsPPT09FaeyncaNG+v2fboT6eMGAFOmTNH9vbf3Q6873qXOjQCwYsUKtGnTRnUMmzl37hyys7Nx7do1HD9+3PLc0dFR1yebAGMslNyJHucPqWNmfpccHBwQFBSEp59+2urqLaNuuqF7x8I0ERne3XaYFRcX6/K+2GbNmokpkJlJ3vkCAGvWrMFbb71lGbf8/HwsWrQIM2fOVJysekjoQN62bVuMHDkSfn5+AIBt27ahS5culu/PcePGqYz3QKS/ZwDQu3dv9O7du9LPwsPDsWDBghpORPdC+rjl5eWpjlCj9Nb01ghzY5s2bbB161bs2bMHANCvXz/Lv2965OvrC19fX3z99dd3XLDT47UQZpIXSu5Eb/NHRdLGzHxndqNGjQy1wYZsh4VpIiLceYfZqFGjdHXHb3Z2NgCgb9++mD17Nvz9/a0K65Xda6YXkne+AMD3339vtZjg4uKi+7sdpXcgN5lM6Ny5s6Wg1KlTJ9y4ccPq+1NvpL9nd/P//t//Ux2BHoCEcdPjDkAjMcLcGBsbi4yMDAQEBEDTNKxcuRInTpzA5MmTVUerkrudItHjtRBGWCiRRuqYhYWFqY5AOsfCNBHRXejtF8Wbf3nIyMiw/FnTNKuv9eZed77o1c1NN00mE0pKShSlsQ3pHcilFCMqkv6eEdVWa9euVR2hRunt5ysjzI3btm3DZ599ZrmeKjg4GKNGjdJ9Yfpu9Pa9CBhjoeROOGa126hRo7BhwwbVMUgnWJgmIroLvR0V27lzJ4DygrSnpycaN24MACgoKMChQ4dURrOZir8QSrqTs1u3bpg5cyYmTpwIk8mENWvWoFu3bqpjVYnkDuTm0wkdO3ZETk4Odu3ahQ4dOsDb21txMtuQ+p4R1SYJCQkYMmQIGjVqhIULF+Lw4cOIiIhAr169VEerdnpteit9bjQXpYH/vRNXOr39rA8YY6HkTvQ4fxhpzK5fv646AumIneoARERUPWJiYixFaQBwdnZGTEyMwkTVQ9KdnNOnT8fVq1cxYsQIjBw5EsXFxbpvGLJkyRJ4eHhU+pmeO5CvXbsWL7/8Ml588UXExcVh6tSp+PXXX/Hee+8hISFBdTybk/SeEdUm69atQ6NGjZCZmYmffvoJU6dOtTSFlWjatGmWP0sozEibGzt37ozw8HAcPHgQBw8exLRp09ClSxfVsegObl4okUzK/GGEMWvQoIHqCKQj3DFNRHQXejwqVhlN0265KkICKeMDAE5OTnc8yqfH5jxSO5B/9tln2LJlC4qKiuDr64v09HS0bNkS+fn5CA0NxejRo1VHtClJ79nd2Nlx34Ye6XXc6tQp/3Vs3759CAgIwNNPP42PPvpIcarqI6HpbUXS5sbIyEgsW7bM8rNI3759xV/jAcgZR2kLJTeTNn8AcsdM4iYNqj4sTBOR4ZlMpluO8F29etVylFGvVyk4Ojri0KFD6NGjBwAgMzMTjo6OilPZnpHu5NRjcx4zaR3I7e3t4ejoCEdHR7i5uaFly5YAyhtW6vFI8N1Ies82btyIYcOGWT1bsGABwsPDAQBJSUkqYtFdSB03TdOQlpaGrVu3YsWKFQCg+94C0pveViRpbiwrK0NUVBQWLFigOorNFRcXWzUCB8qvuDOfLNTjtRCVkVBgN9L8AcgYs8pMmDABn3zyieoYpBMsTBOR4b333nt4//33LV9fv34df/vb3/DPf/4TAKw+05Pw8HCEhYWhbdu2AICcnBwsXbpUcSrbeOGFF9CvXz/06dPHUEdM9fjDq9QO5BVPH9x8DFPPf6+KpL5n69evx6OPPmq5C3zp0qX48ccfFaeiu5E6blFRUVixYgWCg4PRqlUr/Prrr+jTp4/qWFUivemt1LnR3t4eOTk5qmNUi5EjRyImJgZubm4AgEOHDmHatGnYsWMHAH1fC1GRhIUS6fPHzSSMWVhY2C3PDh8+bHkeGxtb05FIZ1iYJiLDu3LlClauXImXXnoJpaWleO211yy7jPXMw8MDaWlpOHz4sOVrZ2dntaFsZMqUKdi9ezfmzJmD3Nxc9OzZE97e3ggJCVEdrVrpcSeu1A7ko0ePxuXLl+Hk5ITBgwdbnv/yyy/o2bOnwmS2I/U9W7p0KSZOnIh//OMf2Lt3L/bt24f/+Z//UR2L7kLquHXr1g3Lli0DUL6D8/HHH8eMGTMUp6oayU1vAblzIwD07t0bkZGRCAoKsmp8WNlY6snf/vY3jBs3Dm+//TZOnz6NhIQEMTvDpS2USJ8/AHljlpWVBR8fH8vPvyaTCd999x0GDhyoOBnphWbS4/YrIiIbKi4uxosvvohhw4bhq6++QosWLTB9+nTVsegeFBYWYseOHYiNjcX58+fxn//8R3WkahUUFITk5GTVMR6IETqQSyXxPfvpp5/w8ssvo3nz5lizZo1VAYZqL+njpuc5vqIrV66gTp06t1ydII3EuXHAgAG3PNM0DRkZGQrS2NbRo0cxZswYuLi4ICUlBS4uLqoj2cR3332H3bt3Y+/evSIWSowwf0gbsz///BNRUVFwdXXF1KlTUa9ePQwcOFDEvEE1g4VpIiKU/3Lxl7/8BT169NDt1R1GsnDhQuzbtw/FxcXo3bs3vL290atXL3FFipsFBgZi06ZNqmNU2ZQpU7BkyRLVMWwiKCgII0aMwNChQy13VUoh7T175ZVXrE4d/Pzzz3j44Yct48ajprWTkcZNyhxvJq3prZm0udEIjh49irfeegvDhw/HDz/8gMLCQnz44YdiitOAvIUSqfNHRRLHbMOGDYiMjMTUqVNZmKZ7xsI0ERlWr169rH7ZLS4uRp06dWBnZwcAOHDggKpodBf9+vWDq6srnn/+efTr1w+PPfaY6kg1QsquYym7AoHyeWLjxo346quv4O3tjeHDh+Opp57S5bUrN5P2nt3tey4oKKiGktD9MNK4vfrqq4iJiVEdw2Yqm+uHDRuGjRs3KkpkG9Lmxop27twJT09Py9VvBQUFyMrKwjPPPKM2WBUNGDAAH3zwATw9PQEA//rXv/DJJ5+IKJxJXSiROn8AcscMAE6dOoV3330XP/30E/bt26c6DukEC9NEZFi//fbbHT9v1apVDSWhB5GdnY29e/di7969+O233+Dh4YHo6GjVsWxu2rRpmD9/vuoYNiVtVyBQfvQ0PT0dycnJOHXqFHbt2qU6kk1If89MJhOKiorg5OSkOgrdB4njVlxcLObournp7Zo1azBx4kTL88LCQmzduhVbtmxRmM42pM6NAQEBSElJsXxtMpkwbNgw3S8m5+fn37I7+ocffsB//dd/KUpkO9IWSowwf0gbs8qY+7AQ3Qs71QGIiFRp1aoVWrVqhebNm1v+fOPGDfz0009o0aKF6nh0F02aNIGzszMaNWqEixcv6v742+3s379fdQSbk9CB/GZXrlxBfn4+/vzzz1s6yeuZxPfsnXfewaVLl1BcXIyAgAD069cP69atUx2L7kLquGVnZ2Po0KHw9fUFABw7dgwffPCB4lRVc3PTW/N/Fy5c0HXT24okzo2V0TQNZWVlqmNUmbkoXVxcjMuXL+Py5ctwc3NTnMo2du/ejffeew/Xr1/H7NmzMWTIEF03UDXC/CFtzMyCgoKwbt06XLp0iUVpui91VAcgIlJtzJgx+Oc//4mSkhL85S9/QatWrfDVV19h5syZqqPRbQwePBglJSXw9vaGj48P3nnnHTRt2lR1rAfm5eVV6XPzrkAJpHUgN9u+fTs2btyII0eOwM/PD/PmzUPXrl1Vx7IJae+Z2ffffw9nZ2dkZGTgv/7rv7B+/XqMGTNGt02HjELquM2ePRvvvfeeZbdtp06dMG3aNLz99tuKkz04X19f+Pr6irl+6mZS50YAcHR0xKFDh9CjRw8AQGZmJhwdHRWnqrrDhw8jIiICOTk5Vs+PHz+uJpCNSVookT5/mEkaM7OIiAhs3LgRMTEx4q63o+rFwjQRGV5ZWRmcnJywadMmBAUF4Y033oC/v7/qWHQHK1asQJs2bVTHsBk7OzvExcXdstPWZDJhzJgxilLZ1pQpU7B7927MmTNHRAdys4SEBAwbNgyLFy9G/fr1VcexKWnvmZn5FrvvvvsOzzzzDJycnGBvb684Fd2N1HErKiqy3HsLlO9QrVu3rsJEtlOxqCSp6a3UuREAwsPDERYWhrZt28JkMiE3NxdLly5VHavKZs+ejXnz5iEqKgr/+te/sHbtWjH/ZktdKJE6fwByx8zLywteXl6W6+1WrlyJyMhIMdfbUfVhYZqIDK+kpARA+ZUJ5oK0uQEi1U5t2rTB1q1bsWfPHgDld7X5+fkpTvXgOnXqhIKCAnTs2PGWzx566CEFiWzP09MTnp6eCA0NtXQg//rrr3VfmF6zZo3lz8nJyaIasUl7z8yaN2+OqKgofPPNN3j55ZdRUlIi4qi6dFLHrU6dOigpKbHsKDtz5ozIn0Hy8vJUR7AZqXMjAHh4eCAtLQ2HDx+2fG1uhKhnpaWl6Natm2Uzyssvv4zhw4cjNDRUdbQqk7xQYiZp/gDkj5nU6+2o+rAwTUSG17t3bzz33HMoKyvDzJkzUVBQIGIXlmSxsbHIyMhAQEAANE3DypUrceLECUyePFl1tAeyZMkS1KlT+T/JmzdvruE01ePmDuRRUVHo1auX6lg2FR8fL6owLe09M1uwYAE2b96MoKAgODs7Iy8vDxMmTFAdi+5C6riFhITglVdeQX5+PhYuXIjU1FS89dZbqmPZnHnHuwRS50azxo0bo3///khOThZRlAZg+RmrSZMm+P777/Hoo4/iwoULilPZhuSFEjNJ8wcgd8wkX29H1UszSXvLiYjuk8lkQnZ2NlxdXeHk5IT8/Hz8/vvvIjp1S+Xv74/PPvsMDg4OAMpX5keNGoXU1FTFyaomMTERI0aMuOszPTJCB/LAwEBs2rRJdQybkfqeEdU2hw4dQkZGBkwmEwYMGGB1tYcUhYWFYnbOGWVuDAoKQnJysuoYNhEXF4eAgAB8//33mDJlCkpLS/H6669j4sSJqqNV2c0LJSkpKfD19RWzUALImj8AuWMWGhqKYcOGYdCgQWKuyqGawR3TRGR4mqbB3d3d0qm7Xr16Yjp1S2b+hRAAGjZsqDCJ7axbt+6WIvT69etFFKZ3796N7Oxs7N27F7Nnz8Zvv/0GDw8PS8MvCcaPH686gs1JfM/+/PNPLFmyBNnZ2bh+/brluZQCjFSSx61Hjx6WZnOSSG16C8icG28maf+a+d/np556CgcOHMD169fh5OSkNpSNbNu2zWqhJDg4GKNGjdJ9kVPy/CF1zCRfb0fVi4VpIjI86Z26JercuTPCw8MxcuRIAOW7ivX8Q+vRo0eRlZWF/Px8xMfHW54XFhaiuLhYYTLbktiBHABOnz6NgwcPws7ODqdPn0bLli1VR7IJae+Z2bvvvosePXpg7969mDZtGjZs2AB3d3fVsegupI5bXl4eVq1ahVOnTqG0tNTyvOK/BXoltemt1LnxZtIWW3/55Rfk5ORY3U3/3//93woT2Y7EhRKp84eZxDGrSNr1dlS9eJUHERlecHAwZsyYcUunbgkNUaS6cuUKli1bZrmbrW/fvpg8ebJuf7D78ssvkZGRgZ07d2LAgAGW546OjggICBDxC2/FDuTm/yR0IE9NTUV0dDR69eoFk8mEzMxMREZGYsiQIaqjVZm098wsICAAKSkp8Pf3R2pqKoqLizF27Fhs2LBBdTS6A6njNmLECHh7e6N79+5W/S2eeeYZdaFsrLCw0NL09vz587pflJQ6N5qZF1s1TYOnp6eIxdZ58+YhNTUV7dq1s7xnmqZZ7fDUq4iICJSWllotlNjb22POnDmKk9mGtPkDkD9mgLzr7ah6ccc0ERme5E7dEpWVlSEqKgoLFixQHcVmfH194evri6+//hr9+/dXHadaSO1AvnTpUiQmJsLV1RVA+e7HSZMm6b4wLfE9M6tbty4AoF69erhw4QIaN24spgmWZFLH7fr163jzzTdVx6gWEpveSp4bgVsXW+fMmSNisTUjIwNffvml1S5VKSIjI7Fs2TLMnTsXwP8ulOidxPnDTOqYVSTtxAVVLxamicjwJHfqlsje3v6Wa1ekqFiUnjJlCpYsWaIwjW1J7UDu4OBgKUoDQOvWrUX84iv5PWvTpg0uXLiA559/HiNHjoSTkxM6deqkOhbdhdRxa9++vagrgCoyL9oFBweLaXoreW4E5C62tmjRQmQzNskLJRLnD0D2mAFyr7ej6sWrPIjI8CR36pbqww8/REFBAYKCgqyOznbs2FFhKtsKCgoS0dTLTGoH8kWLFsHe3h7BwcEwmUxISkrCjRs3LCcu9NxcyQjvWWZmJi5duoSnn37askhJtZ+kcZswYQKOHTuG7t27WxXOYmNjFaayHXPT271794ppeit5bqzsZw8JP48cPXoUq1atwlNPPWX1ngUGBqoLZSPBwcH4/PPPVceoFhLnD0DumEm+3o6qFwvTREQVlJSUiOrULVXFe5jNNE1DRkaGgjTVQ9rdbP7+/lYdyK9cuYJRo0YhNTVVcbKquVMhQtM0XTdRlf6eXb582arZXJMmTdSFoXsmbdxuV/CT0jTq999/x+7du7Fnzx7s27cPzZo1Q0pKiupYVSJ5bpS62PrOO+/gu+++Q/v27WFnZwegfMwWL16sOFnVSV4okTh/AHLHzM/PD6tWrbrlxEV6erriZFTbsTBNRATZnbpJnwoLC9GoUSPVMWzG3LDsbs+IqltaWhpmzZqFS5cuQdM0mEwmaJqGY8eOqY5Gd8Bx0x+pTW8lk7rY6uvri/T0dN2fsKiM1IUSyfOH1DGTeuKCqh8L00RkeJI7dUu1c+dOeHp6wtnZGQBQUFCArKwsPPPMM2qDVdELL7yAfv36oU+fPujSpQs0TVMdyWYkdiAvKyuDv78/0tLSVEepFlLfs4EDB2LRokXo0qWL6ih0H6SN25o1axAaGmppfnWziIiIGk5kezk5OSKb3kqdGyWbMGECVq5caWmiSrWf1PlDMqknLqj6yVsyJCK6T5I7dUu1ePFiq6N8zs7OWLx4se5/KZwyZQp2796NOXPmIDc3Fz179oS3tzdCQkJUR6syiR3I7e3t4eLigqtXr4qcP6S+Z82bNxdT3DQSaeNmPr4t6WTMzaQ2vZU6N0pebHV1dcXYsWMxcOBAqzumx40bpzCVbUhdKJE6fwByx+zjjz8GUN5EtaJly5bp+sQFVT8WponI8KR26jYSTdOsrmHRK09PT3h6eiI0NBQ7duxAbGwsvv76a90XpiV3IHdzc8OYMWPg5+dndU+ghF92byblPRs5ciQ+/vhjDB482GruZ+f42k3auI0ePRoAEBYWpjhJ9bm56e3KlStx4sQJ3S9K3kzK3Ch5sbWkpASPP/44Tpw4oTqKzUldKJE8f0gds+zsbNURSKdYmCYiwwsPD8drr70mslO3VI6Ojjh06BB69OgBAMjMzISjo6PiVFW3cOFC7Nu3D8XFxejduzeioqLQq1cv1bGqzN7eHjk5OapjVAuTyQR3d3fk5uaqjmJzUt+z4uJiLF++HGvWrLFqgrV3717FyehOpI5bbGzsLc+cnZ3RvXt3dO3aVUEi29m2bZtV09vg4GCMGjVK94UlqXMjIHex9XZX5pht3boVzz77bA2lqV5SFkqkzh+VkTBmkk9cUPVjYZqIDC8hIQE//vgjTCaT1S+7LEzXXuHh4QgLC0Pbtm1hMpmQm5t7y7ExPUpMTISrqyuCg4PRr18/PPbYY6oj2Uzv3r0RGRkprgP53X7Z1TOp79mKFSuQmpoKNzc31VHoPkgdtxMnTuDAgQN45plnoGkavvrqK3Tv3h3r1q1DSEiI7guCFXfeVpz79Uzq3AjIXmy9k5UrV+q2MC15oUTi/AHIHDPJJy6o+rEwTUSGd+DAAbGduqXy8PBAWloaDh8+bPnafE+bnu3evRvZ2dnYu3cvZs+ejd9++w0eHh6Ijo5WHa3KzDsodu/ebXmm5w7kBw4cgJeX123zDxw4sIYT2Z7U9+yRRx4RV9w0AqnjVlBQgE2bNqFZs2YAgD/++ANvv/02NmzYoPvCdOfOnREeHm7V9FbCPeFS50ZA9mLrnZhMJtURHpjUhRKp8wcgd8yknrig6scqDBEZnqurq65/IDWqxo0bo3///khOThbzCyEANGnSBM7OzmjUqBEuXryI//znP6oj2cTOnTtVR7CpzZs3w8vLC3Fxcbd8pmmaiMI0IPM969OnD+bNm4fnnnsO9erVszzX++596aSO29mzZy1FaQBo1qwZzp07hyZNmuh+wVxi01szaXOjERZb70TTNNURHpjUhRLJ84fUMTPqiQuqOn3/tENEZAOSO3UbQXx8PIKCglTHsInBgwejpKQE3t7e8PHxwTvvvIOmTZuqjmUT0jqQm3exr127VnGSmiHpPdu8eTMAYPv27ZZnet69bxRSx+2RRx5BbGwshg8fDgBISkrCww8/jLKyMl0XyyQ3va1IytxolMVWqaQtlBhh/pA2ZoBxT1xQ1bEwTUSGJ7lTtxFI2u2+YsUKtGnTRnWMaiG1AzkAnDt3Dnl5eVaNayQ0raxI0nt2t937p06dgquraw2loXslddzmzZuH6OhoS1+LPn36YO7cuSgtLcX8+fPVhqsCyU1vK5IyNxptsfVmUsZRykKJUeYPQMaYGf3EBVUdC9NEZHhG6tQt0fjx41VHsJk2bdpg69at2LNnDwCgX79+8PPzU5yqekjoQA4Ay5cvx+rVq+Hq6mrVPDUxMVFxMtuS9J7dzauvvork5GTVMeg+6XXcmjdvjsWLF1f6WYcOHWo4jW1JbXpbkcS50QiLrTebOnWq6gg2IaXADhhj/gBkjBlPXFBVsTBNRHQXeu7ULdnp06dx8OBB2NnZ4fTp02jZsqXqSFUWGxuLjIwMBAQEQNM0rFy5EidOnBBxp57EDuRA+bH7HTt24KGHHlIdpVpIfM/uRsIviUak53E7cuQITp48aVUINO+g1jNpTW8rkjo3GmWxFQCmTZtmOZXQv39/xWlsQ9JCieT5oyIJY2b0ExdUdSxMExHdhZ5/2ZUqNTUV0dHR6NWrF0wmE+bMmYPIyEgMGTJEdbQq2bZtGz777DM4ODgAAIKDgzFq1CgRhWmpHcibNWsmtigt9T27Gz3f62tkeh23qKgofPvtt3B3d7cqBEooTEtremsmeW6Uvtha0f79+1VHsBmJCyVS5w8ziWMGGPPEBVUdC9NERHeh1192JVu6dCkSExMt94nm5eVh0qRJIn4pNBelAVgdXdQ7aR3Is7OzAZR3iZ89ezb8/f1Rr149y+cSjppKfs+Iaou9e/ciLS3NqvmyFNKa3ppJnhulLbZ6eXlV+txkMqGoqKiG01QPqQslUucPQO6YGenEBdkWC9NERKQ7Dg4OVk2uWrdubVXQ1avOnTsjPDwcI0eOBAAkJiaiS5cuilPZjqQO5DfvYq94tFTKUVOp79nd8JSMPul13Jo3b261qCWJ1Ka3EudGqYutdnZ2iIuLQ6NGjayem0wmjBkzRlEq25K6UCJ1/gDkjpmRTlyQbbEwTUR0F3r9ZVey/v37Y8mSJQgODobJZEJSUhJ8fHxw+fJlAICTk5PihA8mMjISy5YtszTk7Nu3r4hrPG4moQO5+YhpRkYGPD090bhxYwDlO3oOHTqkMprNSH3P7mbQoEGqI9AD0Ou4de3aFa+++iqeffZZq13TEptFSWl6K3FulLrY2qlTJxQUFFRaWJdSPJO4UFIZKfMHIHfMpJ24oJqjmVhxISK6o6+//lpMUxQp7rRzR9M0HD9+vAbT2EZZWRmmT5+OBQsWqI5S7QIDA7Fp0ybVMWwiICDAakePyWTCsGHDkJycrDCVbUh7z4qLi5GUlIQWLVrAx8cHiYmJ2L9/P5588kmMHz9e7K5VCU6dOoXff/8dXbp0QYMGDSzPd+/ejX79+ilMVnVjx4695ZmmaYiPj1eQxrb+8pe/4K233rJqevvhhx/i008/VZysaqTNjRXdbrHVx8dHcbIHc+XKFdSpU0f0/L5o0SLY29tbLZTcuHEDoaGhAPS5UALInT8AeWNmPnGxfft2FBYWijlxQTWHhWkiokpU7NRNVFOCg4Px+eefq45R7TZt2iSisRdwa2EaAJ5//nls3rxZUSK6nYiICJw/fx7Xrl1Du3bt8Ouvv2Lw4MH49ttv0bRpU0tXeapdNm/ejDlz5qB58+a4dOkSFi1aBA8PDwBAUFCQiEUgqbKysiptetu1a1fV0eg2pC62JiYmYsSIEXd9pkdSF0okzx/SxmzAgAG3/UzPJy6o5vAqDyKiSkjq1C1NWVkZ/P39kZaWpjqKzfXu3RuRkZEICgqyanwoZaeBxA7kjo6OOHTokNWOHkdHR8Wpqk7ie3b06FFs2bIF169fR79+/fDNN9+gYcOGGDlypO6vlpFs9erV2LRpE1q0aIE9e/Zg6tSpmDt3Lry9vUVctVVaWor4+HicPHkS7733Hk6ePInffvsN3t7eqqNVmbSmt4DMufFOpFyfsG7duluK0OvXrxdRmDbvVpVG4vxhJm3MjHC9HVUvFqaJyLCM0KlbInt7e7i4uODq1asi7mOryPyL7u7duy3PpOw0kNqBPDw83LKjBwBycnKwdOlSxamqTuJ7Zm9vD03TUL9+fdSvX9+y+FO3bl1L93iqfUwmE1q0aAGg/N79FStW4OWXX8asWbOgaZridFU3c+ZM3LhxA5mZmQCAJk2a4PXXX8fGjRsVJ7MNSU1vAZlzY0XSFluPHj2KrKws5OfnW12PU1hYiOLiYoXJbEP6Qom0+QOQPWYxMTG3NKyMiYnR7VVAVHNYmCYiwzJCp26p3NzcMGbMGPj5+VntLB43bpzCVFVn3nEgkdQO5JJ39Eh7z1q2bIn58+ejqKgITzzxBGbNmgV/f3988803aN68uep4dBsmkwmXL1+23LnZoUMHrFy5Ei+99JKIReQjR44gJSXFcr2Rs7MzSktL1YaqBhKa3ppJmxsrkrbYeu7cOWRnZ+PatWtW1yM4OjpaGk3rmfSFEjNJ84dRxgyQc+KCqh8L00RkWEbo1C2VyWSCu7s7cnNzVUexqZ07d8LT09NS2CwoKEBWVhaeeeYZtcFsQGoHcuB/d/RII+09mzNnDj7++GM4ODhgyZIl2LJlCyIjI+Hq6or3339fdTy6jZEjR+LYsWPo06eP5dkTTzyBVatWYfbs2QqT2Ub9+vWtvi4rKxNxRcnNJP2dpM2NFUlbbPX19YWvr6/oRuaSF0rMJM0fgNwxk3bigmoOmx8SkWEZoVM36YvUpkOAvA7kRES2EBkZCU9PT6xevRpLlizBqlWrUL9+fURGRqqOZlOSmt6Svk2ZMgVLlixRHcNmIiIiKn0uYUe4mbT5Q+qYVWxYCfzviQsJDSuperEwTUSGJ7lTtzQHDhyAl5fXbe9cHjhwYA0nsq2bC9MA8Pzzz2Pz5s2KEtmOtA7kkkl/zyqSVqCQytwoqmPHjsjJycGuXbvQoUMHEQ0Ci4qKMH/+fHz55ZcwmUwYNGgQIiIixJwoMTe91TQNnp6eum56a6S5UbKgoCARC/5GIGn+MIqCggIxJy6o5vAqDyIyPMmduqXZvHkzvLy8EBcXd8tnmqbp/pdCyUfgpHUgl0z6e1ZRXl6e6gh0F2vXrsWaNWtQWlqKiRMnIiUlBV27dsWnn36KCRMmYPTo0aojVomjoyNmzpyJmTNnqo5ic9Ka3hppbpRMyr486Qsl0uYPQP6YAXKvt6PqxR3TRGRY5k7da9aswcSJEy3PCwsLsXXrVmzZskVhOjKiikfgTCYTcnNzRRyBk9yBnPQtMDAQmzZtUh2D7sDf3x8JCQkoKiqCr68v0tPT0bJlS+Tn5yM0NFTU+Enbwe/n54dVq1bd0vQ2PT1dcTIyssLCwlsan+vRjBkzEB0djbFjx97ymaZpiI+PV5DKdiTOH9LHjOhBccc0ERmW9E7d0p07dw55eXlW3Z579eqlMFHVSWs6ZGakDuTSSHzPKlq7dq3qCHQX9vb2cHR0hKOjI9zc3CxHuV1cXKBpmuJ0tiVtB7/kprfS50ZpXnjhBfTr1w99+vRBly5dVMexiejoaABy/x2TOH9IHzOiB8XCNBEZlhE6dUu1fPlyrF69Gq6urrCzswNQvtMgMTFRcbKqMx+BS05OFlGUNpPagVwyqe9ZQkIChgwZgkaNGmHhwoU4fPgwIiIiWFSqpSoW/qZMmWL1WXFxcU3HqVbSDrL2798fS5YssWp66+Pjg8uXLwPQb9NbqXOjZFOmTMHu3bsxZ84c5ObmomfPnvD29kZISIjqaDYhcaFE6vxhJnHMiB4Ur/IgIqpA2jFaqXx9ffH555/joYceUh2l2khrziO1A7lkUt8zf39/pKamIjMzEwsXLsRf//pXLF68mEWlWmrdunUICAi4pQjxyy+/4J///Keou5mlXDFgJrXprdS50QgKCwuxY8cOxMbG4vz58/jPf/6jOlKVSV0okTp/AHLHjOhBccc0EVEF0o7RStWsWTPxvxBKWzdmAVp/pL5ndeqU//i7b98+BAQE4Omnn8ZHH32kOBXdzu12NLZr105UUfrMmTM4duwY2rdvj8cee0x1HJuQ2vRW6two2cKFC7Fv3z4UFxejd+/eiIqKErM7NSkpCTt27BD3PSl1/gDkjhnRg2JhmoioAmnFQGnMP6T27dsXs2fPhr+/P+rVq2f5/E67K/Rm/PjxqiPYhBE6kEsj/T3TNA1paWnYunUrVqxYAQAoKSlRnIruh4TTTeHh4ViwYAEAYP/+/Zg6dSrc3d3x448/IioqCoMGDVKcsGokNr2VPjdKlpiYCFdXVwQHB6Nfv35iFn8AmQslEuePiiSOGVFVsDBNRFQBm1HUbpMnT7b6umKxU9O02xY/9eT06dM4ePAg7OzscPr0aUujL73avHkzvLy8EBcXd8tnmqaxMF0LSX/PoqKisGLFCgQHB6NVq1b49ddf0adPH9Wx6D5ION30888/W/68fPlyxMbGokePHsjJycGbb76p+8K0xKa30udGyXbv3o3s7Gzs3bsXs2fPxm+//QYPDw9LMzo9krxQInH+AGSPGVFVsDBNRIYnsVO3VDt37gRQ/sugp6cnGjduDAAoKCjAoUOHVEazidTUVERHR6NXr14wmUyYM2cOIiMjMWTIENXRHhg7kOuP9PesW7duWLZsGYDyv9Pjjz+OGTNmKE5F90PC6SZN0yx/vnjxInr06AEAaNOmjVUzLD2T1vRW+twoXZMmTeDs7IxGjRrh4sWLur9fWvpCibT5A5A/ZkQPioVpIjI86Z26JYqJiUFKSorla2dnZ8TExMDHx0dhqqpbunSp5bgpUL4rcNKkSbouTFfEDuT6IvU9q2j8+PGimowahYSFrt9//x1z586FyWTChQsXUFZWBnt7ewAQU5g2mUxwd3dHbm6u6ig2ZYS5UZrBgwejpKQE3t7e8PHxwTvvvIOmTZuqjlUl0hdKJM4f0seM6EGxME1Ehufp6QlPT0+EhoZaOnV//fXXLEzriKZpIn6Rd3BwsBSlAaB169ZijjCyA7n+SXnPKpKw89YoEhISMGTIEDRq1AgLFy7E4cOHERERodvFrYo/YwQHB+PixYto2rQpzp49i06dOilMZjtGaXorcW6UZsWKFWjTpo3qGNVC6kKJ5PlD6pgRPSgWponI8CR36pbK0dERhw4dshx9zszMhKOjo+JUVde/f38sWbIEwcHBMJlMSEpKgo+PDy5fvgwAcHJyUpzwwbEDuf5Ifc8qcnNzUx2B7tG6deswevRoZGZm4qeffsLUqVMxf/583S5uhYWFVfr8kUcewbx582o4jW1Jb3prhLlRmjZt2mDr1q3Ys2cPAKBfv37w8/NTnKp66H2hRPr8URm9jxlRVbEwTUSGJ7lTt1Th4eEICwtD27ZtAQA5OTlYunSp4lRV9/HHHwPALX+XZcuWQdM0HD9+XEUsm2AHcv2R+p6ZFRcXIyYmRnUMukd16pT/2rJv3z4EBATg6aefxkcffaQ4VdUVFxcjLi4Oe/bsgaZp8Pb2xvjx460aYumN9Ka30udGiWJjY5GRkYGAgABomoaVK1fixIkTt9z5q0fSFkqkzx+AvDEjqirNxDOMRESWTt179+4V0anbCAoKCnD48GEAgIeHB5ydndUGokqZO5Bv374dhYWF7ECuMxLfs+zsbLz11lu4dOkS/v3vf+PYsWNIS0vD22+/rToa3cGwYcMwadIkLFu2DCtWrECrVq0wdOhQbNmyRXW0KomIiMCFCxcwYsQIAMDGjRvRuHFj0cfYJZA4N0rm7++Pzz77zHI92pUrVzBq1CikpqYqTlZ1WVlZlS6UdO3aVXEyuh2OGZE1FqaJiFDehGj37t3Ys2cP9u3bh2bNmlnd/UVU3crKyuDv74+0tDTVUWxqwIABt/2MHchJhbFjx+K1115DdHQ0Nm3aBJPJhKFDh+KLL75QHY3u4MiRI1ixYgV69+6NF154Ab/++ivWrVuHGTNmqI5WJX5+fti6dSs0TQNQ/m/BkCFDkJ6erjiZbbDpLdUG/v7+txShK3umV1IXSiTPH1LHjOhB8CoPIjI8iZ26SX/s7e3h4uKCq1eviml4CLADOdU+RUVF8PT0tHytaRrq1q2rMBHdi27dumHZsmUAyuePxx9/XPdFaQBo0qQJrl27Zpn3i4uLxVx7xKa3VFt07twZ4eHhGDlyJIDya/y6dOmiOJXtNG7cGP3791cdw6akzx8Sx4zoQbEwTUSGJ7lTN+mLm5sbxowZAz8/PzRs2NDyfNy4cQpT2QY7kFNtUadOHZSUlFh2qJ45c8bySy/pw/jx45GcnKw6hk20bdsWI0eOtDRi27ZtG7p06YL4+HgA+p7/2fSWaovIyEgsW7bMckVO3759RdwvLRnnDyLjYGGaiAzPSJ26qXYzmUxwd3dHbm6u6ijVjh3ISZWQkBC88soryM/Px8KFC5Gamoq33npLdSy6D5JuIjSZTOjcuTPy8vIAAJ06dcKNGzd03ezWjE1vqTYoKytDVFQUFixYoDoK3QfOH0TGwcI0ERme5E7dpC+Sm12xAznVFgEBAXB1dUVGRgZKSkrwwQcfWF3tQbWfm5ub6gg2I3HeNze97du3L2bPns2mt6SUvb09cnJyVMege8T5g8h42PyQiAxPcqdu0ocDBw7Ay8vrto0ABw4cWMOJbI8dyImIrJkLMB07dkROTg527dqFDh06wNvbW3GyqmHTW6ptPvzwQxQUFCAoKMjqqjQWOWsfzh9ExsMd00REgFWzuYo/sBLVhM2bN8PLywtxcXG3fKZpmojCtIeHB9LS0tiBnJTLy8vDqlWrcOrUKZSWllqem+/0pdrp0qVLSEhIuGXc9LrjeO3atVizZg1KS0sxceJEpKSkoGvXrvj0008xYcIEjB49WnXEB8amt1TbpKWlAQB2795tecYiZ+3E+YPIeLhjmogMLyIiAqWlpVaduu3t7TFnzhzFyYiIyNZGjBgBb29vdO/eHfb29pbnzzzzjLpQdFfjx4+Hi4vLLeMWEhKiMNWD8/f3R0JCAoqKiuDr64v09HS0bNkS+fn5CA0NxaZNm1RHrLKAgACrprcmkwnDhg0T07iSiKoP5w8i4+COaSIyPHbqptrk3LlzyMvLs2oM2KtXL4WJiGS5fv063nzzTdUx6D6dP3++0lMlemVvbw9HR0c4OjrCzc0NLVu2BAC4uLhA0zTF6aoHm96SKjt37oSnp6flpFZBQQGysrK4IKkjnD+I5GJhmogMjZ26qTZZvnw5Vq9eDVdXV9jZ2QEo/0E8MTFRcTIiOdq3b4/Tp09bCoGkD66urrh06ZKYK4AqFlimTJli9VlxcXFNx6kWbHpLtcXixYutdt86Oztj8eLFLEzXYpw/iIyDhWkiMjR26qbaJCkpCTt27MBDDz2kOgqRWPn5+QgICED37t1Rv359y/PY2FiFqeh2zKeZHBwcEBQUhKefftpq3CIiIlRFq5LRo0fj8uXLcHJywuDBgy3Pf/nlF/Ts2VNhMtsJDw+vtOktkWrcfVv7cf4gMg4WponI8Hr37o3IyEh26iblmjVrxqI0UTV7/vnn8fzzz6uOQfeoUaNGlv+3a9dOcRrbud3d2O3atcPMmTNrOE31YNNbqi24+1Z/OH8QGQebHxKR4Q0YMOCWZ+zUTTUpOzsbALB9+3YUFhbC398f9erVs3zORRIiIpmCgoIwYsQIDB06FI0bN1Ydh0ikrKwsy+5bk8mE3NxcLF26FF27dlUdjYjI8FiYJiIiUqyyxREzLpIQ2caaNWsQGhpquRriZnq9EsKIRo0ahQ0bNqiOYRMHDhzAxo0b8dVXX8Hb2xvDhw/HU089JbYBIpEqBQUF3H1LRFQL8SoPIjI8duom1Xbu3AkAyMjIgKenp2XXXEFBAQ4dOqQyGpEY5quazFdDkH5dv35ddQSb8fLygpeXF65cuYL09HSsXLkSkZGR2LVrl+poRKI0btwY/fv3R3JyMovSRES1CAvTRGR47NRNtUVMTMwt34sxMTHw8fFRmIpIhtGjRwMAwsLCFCehqmrQoIHqCDZ35coV5Ofn488//+TiCVE1io+PR1BQkOoYRET0/2NhmojoJuzUTbUFvxeJbC82NvaWZ87OzujevTvvG9WJhIQE1RFsZvv27di4cSOOHDkCPz8/zJs3j9+HRNWIN5kSEdUudqoDEBGpZu7UbcZO3aQKvxeJqt+JEyeQkJCA33//HWfPnkVCQgIOHDiA8PBwxMfHq45H92DChAmqI9hMQkIChg4dil27diEqKopFaaJqNn78eNURiIioAjY/JCLDY6duqi0qfi8CQE5ODr8XiWxs4sSJmD9/Ppo1awYA+OOPP/D222/jo48+QkhICL744gvFCamiyq5e2b17N/r16weg8h3wepWcnMwrBoiqyenTp3Hw4EFomgZPT0+0bNlSdSQiIgKv8iAigoeHB9LS0tipm5Tj9yJR9Tt79qylKA0AzZo1w7lz59CkSRPUqcMfjWubrKws+Pj4oGfPngDKj+F/9913GDhwoOJktse7b4mqR2pqKqKjo9GrVy+YTCbMmTMHkZGRGDJkiOpoRESGx5++iYjATt1Ue5i/F4moejzyyCOIjY3F8OHDAQBJSUl4+OGHUVZWBk3TFKejm23evBlRUVH46aefMHXqVNSrVw9Lly4VWcDlQVai6rF06VIkJibC1dUVAJCXl4dJkyaxME1EVAvwjmkiogp4vygRkWzz5s3Dzz//jMDAQAQGBuLnn3/G3LlzUVpaivnz56uORzdp2rQpYmNj0a5dO4SEhODo0aOqI1Ub3n1LVD0cHBwsRWkAaN26NRwcHBQmIiIiM94xTURUQWBgIDZt2qQ6BhEREd3k1KlTePfdd/HTTz9h3759quPYDO++JapeixYtgr29PYKDg2EymZCUlIQbN24gNDQUAODk5KQ4IRGRcbEwTURUwaZNmxAYGKg6BhERVaMjR47g5MmTKCsrszzj3K8fly9fFlNIuvnu28zMTN59S2RjHTt2vO1nmqbh+PHjNZiGiIgqYmGaiAjcrUREZBRRUVH49ttv4e7uDju78lvtNE3D4sWLFSejOwkKCsKIESPg7+8vqheEn58fVq1adcvdt+np6YqTEREREVU/Nj8kIsNjp24iIuPYu3cv0tLSUL9+fdVR6D5ERERg48aNiImJgbe3N4YPH46nnnpK9w0refctUfUqKyuDv78/0tLSVEchIqJKsDBNRIbHTt1ERMbRvHlz1KtXT3UMuk9eXl7w8vLClStXkJ6ejpUrVyIyMhK7du1SHa1K+vfvjyVLlljdfevj44PLly8D4N23RFVlb28PFxcXXL16lYs+RES1EAvTRGR43K1ERGQcXbt2xauvvopnn33Watf0wIEDFaaie3XlyhXk5+fjzz//RKNGjVTHqbKPP/4YQPkieUXLli3j3bdENuLm5oYxY8bAz88PDRs2tDwfN26cwlRERASwME1ExN1KREQGcuzYMQDAp59+anmmaRoL07Xc9u3bsXHjRhw5cgR+fn6YN28eunbtqjpWlWVnZ6uOQCSeyWSCu7s7cnNzVUchIqKbsPkhERkeO3UTERHVbqGhoRg2bBgGDRok5n5w3n1LRERERscd00RkeNytRERkHKWlpYiPj8fJkyfx3nvv4eTJk/jtt9/g7e2tOhrdwZo1ayx/Tk5ORlBQkMI0tsG7b4mq14EDB+Dl5YWMjIxKP+dJGSIi9ViYJiJD424lIiJjmTlzJm7cuIHMzEwAQJMmTfD6669j48aNipPRvYqPjxdRmAZ49y1Rddq8eTO8vLwQFxd3y2e8womIqHZgYZqIDI27lYiIjOXIkSNISUlBYGAgAMDZ2RmlpaVqQ9F9kXQTIe++Jao+0dHRAIC1a9cqTkJERLfDwjQRGR53KxERGcfN9xOXlZWJKnQawfjx41VHsJm5c+eqjkBkCOfOnUNeXh7Kysosz3r16qUwERERASxMExFxtxIRkYF06NABKSkpuHHjBnJzc7Fq1Sp4eXmpjkX34PTp0zh48CDs7Oxw+vRptGzZUnWkB8a7b4lqzvLly7F69Wq4urrCzs4OQPlVHomJiYqTERGRZuIWESIiIiIyiKKiIsyfPx9ffvklTCYTBg0ahIiICF7nVMulpqYiOjoavXr1gslkQmZmJiIjIzFkyBDV0R7IjBkzEB0djbFjx97ymaZpiI+PV5CKSCZfX198/vnneOihh1RHISKim7AwTUSGxd1KRERE+uDn54dVq1bB1dUVAJCXl4dJkyYhPT1dcTIiqu1Gjx6NhIQE1TGIiKgSvMqDiAyLnbqJiIxtypQpWLJkieoYdA8cHBwsRWkAaN26tZhd7rz7lqh6ZGdnAwD69u2L2bNnw9/fH/Xq1bN83rFjR1XRiIjo/8cd00RERERkSEFBQUhOTlYdg+7BokWLYG9vj+DgYJhMJiQlJeHGjRsIDQ0FADg5OSlO+GB49y1R9RkwYMBtP9M07banJomIqOawME1EBO5WIiIyosDAQGzatEl1DLoHd9rZqGkajh8/XoNpbId33xJVv4yMDHh6eqJx48YAgIKCAhw6dAg+Pj6KkxEREQvTRGR43K1ERGRMhYWFaNSokeoYZGC8+5ao+gUEBCAlJcXytclkwrBhw3hihoioFuAd00RkeElJSdixYwd3KxERGciZM2dw7NgxtG/fHo899pjqOHQHZWVl8Pf3R1pamuooNsO7b4nU0TTN6pQkERGpw8I0ERles2bNWJQmIhIuPDwcCxYsAADs378fU6dOhbu7O3788UdERUVh0KBBihPS7djb28PFxQVXr14V0/Bw8uTJVl9XvOuWd98S2ZajoyMOHTqEHj16AAAyMzPh6OioOBUREQEsTBORgXG3EhGRcfz888+WPy9fvhyxsbHo0aMHcnJy8Oabb7IwXcu5ublhzJgx8PPzQ8OGDS3Px40bpzDVg9u5cyeA2999S0S2Ex4ejrCwMLRt2xYAkJOTg6VLlypORUREAAvTRGRg3K1ERGQcmqZZ/nzx4kXLzrk2bdrwSLcOmEwmuLu7Izc3V3UUm4qJibG6+9bZ2RkxMTFsykZkQx4eHkhLS8Phw4ctXzs7O6sNRUREAFiYJiID424lIiLj+P333zF37lyYTCZcuHABZWVlsLe3BwAWpnVg7ty5qiPUCN59S1Q9GjdujP79+6uOQUREN2FhmogMj7uViIjkCwkJsfw5ODgYFy9eRNOmTXH27Fl06tRJYTK6kwMHDsDLy+u2p5gGDhxYw4lsi3ffEhERkZGxME1EdBPuViIikicsLKzS54888gjmzZtXw2noXm3evBleXl6Ii4u75TNN03RfmObdt0RERGRkLEwTkeFxtxIRkXEUFxcjLi4Oe/bsgaZp8Pb2xvjx462a31LtER0dDQBYu3at4iTVg3ffEhERkZFpJpPJpDoEEZFKWVlZle5W6tq1q+JkRERkaxEREbhw4QJGjBgBANi4cSMaN25smDuM9ezcuXPIy8uzOtXUq1cvhYmIiIiIqCpYmCYiQnnDQ+5WIiKSz8/PD1u3boWmaQDKGx8OGTIE6enpipPRnSxfvhyrV6+Gq6sr7OzsAJRf5ZGYmKg4GRERERE9KF7lQUQEduomIjKKJk2a4Nq1a3BwcABQfrXHQw89pDgV3U1SUhJ27NjBsSIiIiIShIVpIiIiIjKMtm3bYuTIkfDz8wMAbNu2DV26dEF8fDwAYNy4cSrj0W00a9aMRWkiIiIiYXiVBxEREREZRkRExB0/513TtUt2djYAYPv27SgsLIS/v79Vo8qOHTuqikZEREREVcTCNBERERER1UoDBgy47WeapiEjI6MG0xARERGRLfEqDyIiIiIyBPPu244dOyInJwe7du1Chw4d4O3trTgZ3c7OnTsBABkZGfD09ETjxo0BlDctPnTokMpoRERERFRF3DFNREREROKtXbsWa9asQWlpKSZOnIiUlBR07doV+/btw4QJEzB69GjVEekOAgICkJKSYvnaZDJh2LBhSE5OVpiKiIiIiKqCO6aJiIiISLzPPvsMW7ZsQVFREXx9fZGeno6WLVsiPz8foaGhLEzrjKZpKCsrUx2DiIiIiKrATnUAIiIiIqLqZm9vD0dHRzz88MNwc3NDy5YtAQAuLi7QNE1xOrobR0dHq6s7MjMz4ejoqDAREREREVUVd0wTERERkXgVd9dOmTLF6rPi4uKajkP3KTw8HGFhYWjbti0AICcnB0uXLlWcioiIiIiqgoVpIiIiIhJv9OjRuHz5MpycnDB48GDL819++QU9e/ZUmIzuhYeHB9LS0nD48GHL187OzmpDEREREVGVsPkhEREREREREREREdUo3jFNRERERIYRFBSEdevWoaCgQHUUIiIiIiJD445pIiIiIjKMAwcOYOPGjfjqq6/g7e2N4cOH46mnnmIDRCIiIiKiGsbCNBEREREZzpUrV5Ceno7k5GScOnUKu3btUh2JiIiIiMhQeJUHERERERnOlStXkJ+fjz///BONGjVSHYeIiIiIyHC4Y5qIiIiIDGP79u3YuHEjjhw5Aj8/PwQFBaFr166qYxERERERGQ4L00RERERkGKGhoRg2bBgGDRqE+vXrq45DRERERGRYLEwTERERkSElJycjKChIdQwiIiIiIkPiHdNEREREZEjx8fGqIxARERERGRYL00RERERkSDw4SERERESkDgvTRERERGRI48ePVx2BiIiIiMiwWJgmIiIiIkM5ffo0UlJSYGdnh9OnT6uOQ0RERERkSCxMExEREZFhpKamIigoCDt27MC2bdswbNgwfPHFF6pjEREREREZjmbi5XpEREREZBB+fn5YtWoVXF1dAQB5eXmYNGkS0tPTFScjIiIiIjIW7pgmIiIiIsNwcHCwFKUBoHXr1nBwcFCYiIiIiIjImLhjmoiIiIgMY9GiRbC3t0dwcDBMJhOSkpJw48YNhIaGAgCcnJwUJyQiIiIiMgYWpomIiIjIMDp27HjbzzRNw/Hjx2swDRERERGRcbEwTUREREREREREREQ1indMExEREZEhlJWV4bnnnlMdg4iIiIiIwMI0ERERERmEvb09XFxccPXqVdVRiIiIiIgMr47qAERERERENcXNzQ1jxoyBn58fGjZsaHk+btw4hamIiIiIiIyHhWkiIiIiMgyTyQR3d3fk5uaqjkJEREREZGhsfkhERERERERERERENYo7pomIiIhIvAMHDsDLywsZGRmVfj5w4MAaTkREREREZGwsTBMRERGReJs3b4aXlxfi4uJu+UzTNBamiYiIiIhqGK/yICIiIiIiIiIiIqIaxR3TRERERGQo586dQ15eHsrKyizPevXqpTAREREREZHxsDBNRERERIaxfPlyrF69Gq6urrCzswNQfpVHYmKi4mRERERERMbCwjQRERERGUZSUhJ27NiBhx56SHUUIiIiIiJDs1MdgIiIiIiopjRr1oxFaSIiIiKiWoDND4mIiIhIvOzsbADA9u3bUVhYCH9/f9SrV8/yeceOHVVFIyIiIiIyJBamiYiIiEi8AQMG3PYzTdOQkZFRg2mIiIiIiIh3TBMRERGReDt37gQAZGRkwNPTE40bNwYAFBQU4NChQyqjEREREREZEu+YJiIiIiLDiImJsRSlAcDZ2RkxMTEKExERERERGRML00RERERkWJqmoaysTHUMIiIiIiLDYWGaiIiIiAzD0dHR6uqOzMxMODo6KkxERERERGRMbH5IRERERIaRlZWFsLAwtG3bFgCQk5ODpUuXomvXroqTEREREREZCwvTRERERGQoBQUFOHz4MADAw8MDzs7OagMRERERERkQC9NEREREREREREREVKN4xzQRERERERERERER1SgWpomIiIiIiIiIiIioRrEwTUREREREREREREQ1ioVpIiIiIiIiIiIiIqpRLEwTERERERERERERUY1iYZqIiIiIiIiIiIiIahQL00RERERERERERERUo1iYJiIiIiIiIiIiIqIa9f8BLwD+Kklu5AoAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", " chirp-crow-t1 (12 comparisons)\n", " chirp-v4-h-s-32 (2 comparisons)\n" ] }, { "data": { "image/png": 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", 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" ] }, "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": 58, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:02.574659Z", "start_time": "2024-05-26T00:25:02.334214Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:35:00.865185Z", "iopub.status.busy": "2025-09-24T12:35:00.864919Z", "iopub.status.idle": "2025-09-24T12:35:04.570699Z", "shell.execute_reply": "2025-09-24T12:35:04.570219Z", "shell.execute_reply.started": "2025-09-24T12:35:00.865170Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is continue\n", "len pos models: 10823\n", "differing counts: 4581\n", "chirp-auk-engine-b_win_over_chirp-auk-engine-b, win ratio 1.000, (1.000, 1.000), counts 13, total 13.\n", "chirp-auk-t1_win_over_chirp-auk-t1, win ratio 1.000, (1.000, 1.000), counts 303, total 303.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 66, total 66.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 1847, total 1847.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 344, total 344.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1, win ratio 0.526, (0.483, 0.569), counts 274, total 521.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1, win ratio 0.499, (0.457, 0.541), counts 276, total 553.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1, win ratio 0.524, (0.464, 0.584), counts 140, total 267.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1_cfg_steps_480, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_mask_control_slider_win_over_chirp-crow-t1, win ratio 0.673, (0.640, 0.706), counts 529, total 786.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1, win ratio 0.497, (0.455, 0.539), counts 268, total 539.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1, win ratio 0.547, (0.485, 0.609), counts 134, total 245.\n", "chirp-crow-t1_tag_cfg_05_win_over_chirp-crow-t1, win ratio 0.477, (0.416, 0.538), counts 124, total 260.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1, win ratio 0.543, (0.485, 0.602), counts 150, total 276.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1, win ratio 0.470, (0.410, 0.530), counts 125, total 266.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1_temp_s_100, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1, win ratio 0.490, (0.427, 0.553), counts 118, total 241.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1_temp_s_80, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1, win ratio 0.477, (0.416, 0.538), counts 124, total 260.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1, win ratio 0.481, (0.422, 0.539), counts 136, total 283.\n", "chirp-crow-t1_win_over_chirp-crow-t1, win ratio 1.000, (1.000, 1.000), counts 3329, total 3329.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_10, win ratio 0.474, (0.431, 0.517), counts 247, total 521.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_30, win ratio 0.501, (0.459, 0.543), counts 277, total 553.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_480, win ratio 0.476, (0.416, 0.536), counts 127, total 267.\n", "chirp-crow-t1_win_over_chirp-crow-t1_mask_control_slider, win ratio 0.327, (0.294, 0.360), counts 257, total 786.\n", "chirp-crow-t1_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 0.503, (0.461, 0.545), counts 271, total 539.\n", "chirp-crow-t1_win_over_chirp-crow-t1_n_tag_3, win ratio 0.453, (0.391, 0.515), counts 111, total 245.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_05, win ratio 0.523, (0.462, 0.584), counts 136, total 260.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_20, win ratio 0.457, (0.398, 0.515), counts 126, total 276.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_100, win ratio 0.530, (0.470, 0.590), counts 141, total 266.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_80, win ratio 0.510, (0.447, 0.573), counts 123, total 241.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_85, win ratio 0.523, (0.462, 0.584), counts 136, total 260.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_95, win ratio 0.519, (0.461, 0.578), counts 147, total 283.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 8, total 8.\n", "chirp-v3p5-engine-s-8_min_p_005_win_over_chirp-v3p5-engine-s-8, win ratio 0.518, (0.387, 0.649), counts 29, total 56.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 203, total 203.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8_mask_control_slider, 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_min_p_005, win ratio 0.482, (0.351, 0.613), counts 27, total 56.\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, (1.000, 1.000), counts 39, total 39.\n", "chirp-v4-engine-b_win_over_chirp-v4-engine-b, win ratio 1.000, (1.000, 1.000), counts 7, total 7.\n", "chirp-v4-h-s-32_mask_control_slider_win_over_chirp-v4-h-s-32, win ratio 0.500, (-0.193, 1.193), counts 1, total 2.\n", "chirp-v4-h-s-32_text_1_win_over_chirp-v4-h-s-32, win ratio 0.560, (0.365, 0.755), counts 14, total 25.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32, win ratio 1.000, (1.000, 1.000), counts 79, total 79.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32_mask_control_slider, win ratio 0.500, (-0.193, 1.193), counts 1, total 2.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32_text_1, win ratio 0.440, (0.245, 0.635), counts 11, total 25.\n", "tournament players: ['chirp-crow-t1', 'chirp-crow-t1_cfg_steps_10', 'chirp-crow-t1_cfg_steps_30', 'chirp-crow-t1_cfg_steps_480', 'chirp-crow-t1_mask_control_slider', 'chirp-crow-t1_max_tag_len_1024', 'chirp-crow-t1_n_tag_3', 'chirp-crow-t1_tag_cfg_05', 'chirp-crow-t1_tag_cfg_20', 'chirp-crow-t1_temp_s_100', 'chirp-crow-t1_temp_s_80', 'chirp-crow-t1_temp_s_85', 'chirp-crow-t1_temp_s_95', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-s-8_mask_control_slider', 'chirp-v3p5-engine-s-8_min_p_005', 'chirp-v4-h-s-32', 'chirp-v4-h-s-32_mask_control_slider', 'chirp-v4-h-s-32_text_1']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 352.06it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-crow-t1: 988.3, (978, 999)\n", "chirp-crow-t1_cfg_steps_10: 1005.9, (978, 1036)\n", "chirp-crow-t1_cfg_steps_30: 988.4, (960, 1016)\n", "chirp-crow-t1_cfg_steps_480: 1004.5, (967, 1048)\n", "chirp-crow-t1_mask_control_slider: 1108.0, (1091, 1141)\n", "chirp-crow-t1_max_tag_len_1024: 987.2, (957, 1017)\n", "chirp-crow-t1_n_tag_3: 1018.2, (981, 1061)\n", "chirp-crow-t1_tag_cfg_05: 975.7, (932, 1014)\n", "chirp-crow-t1_tag_cfg_20: 1016.3, (977, 1059)\n", "chirp-crow-t1_temp_s_100: 971.4, (929, 1007)\n", "chirp-crow-t1_temp_s_80: 983.6, (941, 1022)\n", "chirp-crow-t1_temp_s_85: 975.7, (928, 1014)\n", "chirp-crow-t1_temp_s_95: 977.7, (939, 1014)\n", "chirp-v3p5-engine-s-8: 1000.8, (952, 2537)\n", "chirp-v3p5-engine-s-8_mask_control_slider: 990.9, (-1915, 1000)\n", "chirp-v3p5-engine-s-8_min_p_005: 1007.8, (968, 2569)\n", "chirp-v4-h-s-32: 988.3, (-126, 2212)\n", "chirp-v4-h-s-32_mask_control_slider: 999.2, (-1462, 3315)\n", "chirp-v4-h-s-32_text_1: 1011.9, (-122, 2265)\n" ] }, { "data": { "image/png": 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bFSrmruyOdgoPidLeP89o/vQtio66b9R3zwEN5VEkl277h2vxnL+0efUxw3FzczN16PWa6jYpJycXBwUHRWjL6qNaNPuvp3nJz7X8BZz18cBG8izoKnt7WwUHR2jb5lNaOG+n4h95b/s3N/cc+nhAI5Wr4Km7d2O0ef0JzZ21XQnxiYY2ZV/xUK/e9eVZyFVBgXe06Kfd2rT+4c+BubmZOnatpXpvlJazi72Cb0dq07oT+uWnXU/1mp9nVjaW6jP+bRUt6yGPYrm1f/NJfdVlVrrnOTja6cPRb6nKG2WUkJCo3WuP6fuhS3UvOun3K1+RXOoz/h15FM8t++zZFBwQrj+XH9Qvk9YqPi7p52Dc8n4qW714sr4PbDmp4R2+y9wLfUHwfvh8sbK2VJ8RLVS0VD55FHbT/j/P6Ks+P6d7XpGSedV1QEMVL50/6fdr00n9MG6t7kXHJGub3dFO363oK9fcOdXGZ6SiIu5JkkpV8FSXAQ1VoHAu2dhaKfBmqNb9dkArf9qd6dcJADBGABsAYJLssmfT2A1f6MjWvzX1wzkqVMZDA+b0UmR4lNbN3priOebmZhq95jOFBISpX40v5ZzHSYPmf6T42HjNG/qrJOnNXvXV9Zu3Nfn9H3T24EWV8CmqT2b1VGRopPb9cUSSVLJacQ35pa/mDlms/WuP6LW3X9WI5QP1YaXPdOXUtWd2D54ndtmz6Zs/PtPR7Sc1rfc8FSxdQP1n9VRkeJTWz92e4jlFKxRSWOAdjevynYKuB6tk1eL6+NtuSohP0OrvN0uSZg5YYHh2kmRhaaGZB77RjuX7Dfve+rSp3uzxuiZ2/15Xfa+rWIXCGvBDT0WF39Wq7zYmGxeSdzkPXT4foN/m71JYcKR8annp069aKSring7sPJfiOYkJidr75xn99O1WhYdGKW8BF330eRNlz9lU4z7/XZLkntdRo6Z30NqlBzVuyO8q71NY/YY1V0hQpA7vvSBJatulppq0raxJw1bo6sVAFSuZV/1HtlRU5D2tWrw/xbFfdnHxCdqy4W+dP+evyIh7KlLUXZ8MbixzMzPN++HPFM8xNzfT6PHtFBISqX69fpKzq4MGfdFU8XEJhnNy58mpr8e309pVRzR21Eq9UrGQ+g9uopDgSB06cEmS1O7damraooLGj16jq5eDVLxEHn065E1FRd3Tyt8PPaM78HwxtzBXzL1YrZ7zp15tUv6xzxv0XRc558qhIW9Nl6WVhT6Z0lF9J76j8R/+KEmKj43X1qX7dOHENUXduatCJfPp40nvyszcTD+NSfpw96uuP8jK6uF/8bI72+u7rUO0c82RTL3GFwnvh88XcwszxdyP1eqf9+jV+qUf6xxnt+waM7ebdmw4oe++Wi17B1v1/LyJBnzTRqP7LUrWvt9XrXT5nL9cc+c02n/vbozW/LJPl8/d0r3oGJWqWFB9R7TU/egYrV96MFOuDwCQMgLYAACTVPfdGrK0ttSkbjMVFxuvq6evq0g5T7Xu1yTVAHbFN8rJo2R+DXrja4UFhuvi8av6afgSdR/zrhaMXKq42Hi9/m5Nrf1hi/76ba8kyf9yoLwqFVG7gc0NAeyWfRvp4MZjWjppjSTpp+G/qeLrZdX8owaa+uGcZ3MDnjN121eXlbWl/tfzh6Tn5XtDRcp6qnXfxqkGsDf9ZJxh5n85SN5ViunVFpUNAezoO3cVfeeuoU21phXl4GSvTQseZsyXrFpce/84rAMbjkmSAq7e1mtvVZNX5cKZfJUvjiVzjb9xsGrRPlWsVlSv1iuZasAmMuKe1j7yH/TAW+H647cDatOphmFfk7aV5X8jVLP/l/TBwbXLt1XqFU+17FDNELApWa6A9v15xjBOwM0w1WlYRl6l80siYJMS/5th8r8ZZtgODLijsptOqXS5AqmeU9GnsDwKumpQv0UKC43SxQsB+mnODnX/4DUtmLdDcXEJerNFBfnfCtOsGUnvqX5Xg1WqbH61audjCGCXLJ1fe3ad04F/nl+Af7hee72UvLzzPr0Lfs7dj47RjMFJH7yV9Cks+xx26Z5ToFhuVa5bSn0bjNX5436SpJlf/KZRv3yoOSOXKyQgXP5+wfL3CzacE3g9RNuXHVTpKkUN+yLDoo36rd2iou7fjSGAnQbeD58v9+/GasbIVZKkkq94yj67bbrnVKlTQnFx8fp21GolJiZ9A2XGiJWaubqf8ni46NYjv1dN2leRQ45sWvTdVlWu5WXUz0XfW7roe8uwHXjzmF6tX0qlKhUigA3gqUrwT/7tqqfJPHfKf/9lJWpgAwBMUsmqxfX3Tl/FxcYb9h3adEIeJfLJwdE+lXOK6crffgoLDH94zsbjss9pJ89SSYEeKxsrxdyLNTrv/t0YefkUlYWlhWHsI1tOGrU5tOm4vKs+2384PE+8qxbT37vOGD2vw1v+VgGvvHJwTD9484B9zmyKCIlK9XjDznV0dNspBfrdNuw7ve+cyr9WSvmK5paUVJqkVHUvHdx4/Amu5OVl72CjiPC76Tf8h7Nbdr1ar6T+PnzFsM+7bAEd3X/JqN3hvRfkXfZhoPX08WsqX6Ww8nm4SJIKFXdXqVc8dXD3+f92AS+RvPmcVLlKYZ045pdqm5Kl8unKpSCFhT78fTp04KLsHWzlWchNkuRdKr+OHrpidN7hA5dUslQ+w/bpk9f1SsWCylfAWZJUuGgulS6bXwf3XczEK4J3pUKKCIs2BK8l6eiOM0pMSFSJCgVTPCdPQTdVqltSf+9N/XfnjXeq66+Vh3U/hTIJSB3vhy8WK2tLxcXGG4LXknT/fpykpLIgD3gUyaV3PqyriZ/9poSExGT9/FsR7zzyLu+pvw9eSrctAOC/IQMbAGCSnHPn1K3LQUb7QgPC/jnmqMiw5EFOp9yOCn0keJ10TrjhnIuSDm86rkbd6mrPqoM6f+SyilcsrEbd6srK2lI5XbMrxD9MTrkdFRYYlqwf5399lRQPObk7yv9KoNG+B/feyd0xWVZgSkpWLababarqy5YTUzzunMdRlRuU09hO3xrtXzJhjeyyZ9OcExOUEJ8gcwtzzR++VNt/3fOEV/PyqflGKRUrlU/Tvk67xrwkfTamjarWKSHbbNba9+cZTf4nE06SnFwdFBYcadQ+LDhS9tltZW1jqZj7cfpt3k7Z2dto9so+SohPlLmFmX6asTXNerNIMmVmJxUrnlvWNpb6Y9UR/TQn9Tq5Ti4OCg0xfhah/3w45OzioIvnA+TsYm/Y92gbewdbWVtbKiYmTr/+vEd29jaa90svJSQkyNzcXD/+8Ke2bT6V+Rf4EnNyy6Hw2xFG+xLiExQRFi2nXDmM9k9a86mKlikga1srrVuwUwvHp7zWQPFXPFXIO5+m9E+/PjAe4v3wxXNs/0X1GNxErbvW1KqFe2SbzUpd+zeQlPThgyRZWVlo8MT2mjNhvYJuhSt3fudU+1u4/TPldLaXuYW5fvl2qzZSTgnAU5ag1Nc8eRpMMduZADYA4KXy89fL5JTbUdP2fC0zMzOFBoRr84K/1G5Q88fKtsHT4Vkyv4Yv7a+fR6/QkS1/p9imfodaigyL1p7Vxv9RrNWmiuq+/arGdvpWV0/fUJFynuo1oYOCb4Vqy887n8X0n2tlKxXSgJEtNXXUKl29GJRu+1kTN+jnWX8qv6eLuvStr56fNtS336S+WOe/1XqjlOo2Lqtxn/+uqxcDVcQrj94f2Chp8bI1x/7Dlbz4Rg9frmx2NipSNJd6fFhPbd+uqt8W7XuqY9auW1J165fWmJErdeVykIoWc9cHfesr+HaENm9I+XcVT9eY9+fKzsFGhUrmV/dhLdX6w9f1+7ebk7Vr8HZ1XT59Q+eOXs2CWT6feD98MfldCNSkz5eqx+Am6vJJAyUkJGrVwj0KCYowZGV37t9Q1y4Favtj3PdPO8xSNjtrlSjvoS79G+rm1WD9tY5vfQHA00QAGwBgkkL8w+Xkbpzx7OTu+M+xsBTPCfUPU4nKRY32PejjwTkx92I1qfv3mtJrtpzccyrkVqga93xdUXeiFR50x9CPYy7HZP2E+Btnd+Oh0IAwOeX69/PKaTiWFo8S+TRu/RCtn7dNi8euTLVdg061tXXRLqMyJZLUY8w7WjJhjf5amhTIu3LqmnJ5uKr9wGYEsNNRpmJBjZz2jmZNXK+tfzzef75DgyMVGhyp61duKyL8ribN767FP/ypkNuRCr0dKUcXB6P2ji4Oioq4p5h/vq7d/ZMG+u3HnfprY1KZnisXApUrj6Pada1JwCYdQYERkiLkd+W2zM3N1W9QY/3+6/4UP3wLDY5UiX/VqXZyTiq/FPJPVmhIcJRh36NtoiLvKSYm6Xn1+LCelvyyR39uPS1JunIpSLly51T7jtUJYGei0KA7yuma3WifuYW5sjvaKTTwjtH+2zdDJUl+5/xlbmGuvhPe0fKZW4x+DmzsrFW7RaVUs7ORHO+HL7Y/1x7Xn2uPy9HFQffuxigxMVEtO9fQrWshkqRyVQqrYPHc+uONfxaGNDOTJC3ZM1S/zvpTP8/YYugr4EbS7+CV8wFydHFQh971CGADeKriE59tBrYpBotNMSscAACd3ndOZWp6G+pSS1LF18vI78yNFMuHJJ1zXgXLeMjR7eHXrSvUL6uo8Gj5nb5u1DY+Ll63b4QoISFRr71VXfvXHjFk4Zzed06v1DNe2b7C62Xku8/0FrMwFb77zqtMjRJGz6tCvdK6dvZmmuVDPL3zafzGL7T5552aP3xpqu3K1vJWvqK5tWH+n8mO2WSzVmKC8T/qEuITZGZulvELeYmUrVRQo6a/q3lTN2v9ssNP1MeDe2xlnfTPXN8T11Tex3jxzApVi8j3xDXDto2tVbKAa0ICzyujzMzNZGlpLjOzlO/b6VM3VLCwmxwfqUFfoXJhRUXek9+VpBryvqeS6ls/qkLlQjp96oZh29bWMvnzik+UOc8rU/keuqzsjnYq+kh95PI1vGRmbqYzR66kep65uZksrSyS/f7UbFpBVtaW2rbswNOa8guF98OXR1hwpO5Fx6h2o7KKvR+no3uSFtQc/fEv+qjlNH3Uaro+ajVdU79cLkn6tOMPWrNob6r9mZubGZ45AODpIYCNl8b169fl5eUlX1/fVNssX75clSpVeoazApCabYt2KS4mTgPm9JJnyfyq/VY1tejbSMumrDW0ebVFZc099T/D9uFNx+V3+roGL+itwmU9VemNcuo8qp1Wf7dRsf9kE+Yrlkf13q2hfEVzy6tyEQ1Z9LEKli6geV/8auhnxbT1qtygnNp88qYKeOVVx2FtVLxSEa36duOzuwHPmW1L9ig2Jk79Z/WQp3c+1W5TVS0+aqBl09YZ2lRvVklzjk8wbHuWzK/xG7/Q4a1/a/m0dXJyzykn95zJshAlqUHnOvLdf0FX//VBhCTtW3dU7Qe3kE/D8nL3dFX1ZpXUqm8j7VlFTcrUlK1USKOmd9Cqxfu1a8tpObk4yMnFQQ45shnaVH/NW7NX9DFsV65RTPWbvyLPIrnkntdRPjWLq88XTXXq6FUF3AyTJK1delB58jupW783lL+gq958q7Jq1S+lFT8//M///h1n1b57LfnULC73vI6q/pq3Wnaorj3bUv/7+WVXt34p1arrLQ9PF+XO66hadb3V7f3X9OfW04qPT/rw5tVaXpr7y/uGcw4fuCS/K7c1+MtmKlw0lyr5FFbnHrW1evlhxf7zLYY/Vh5R7ryO6v5BXRXwcFHTlhVV+7WSWr7kYdBz3+7zeue9V+VTrajcc+fUq7W81Lqdj3bvOPtsb8JzxqN4bhUulV/ZHe1lnyObCpfKr8Kl8huOF3/FUz/sHCaXf9ZWuHbeXwe3ndLHE99V8Vc8VbJyYX3wzVv6a+VhhfyznsBrrSqrZrMKKlAst3J7uKhmswrqPKS5dqw6rPg44w/xGrxdXXs3HFdEaOqL4iIJ74fPH48iuVS4RB5lz5lN9tltVbhEHhUukcdwvHiZ/Pph7SdyeaR+fNN3qqlIybzKV9BVb75TVR8MbaYfJ29UVMQ9SdKtayG6ej7A8Mf/elJm9rWLgQr/Z62AN9+pqip1Siivp4vyerrojdaV1LpLTW1bc/QZXj2Al1GCEp/pH1PER4XAIxo3bqzatWtn9TSeqevXr6tevXpauXKlvL29DfvPnz+vadOm6dSpU7px44Y+//xzde7cOesmipdO9J27+qzhaPWZ3lXfHRyj8NsR+uWrZVo3e6uhjX1OO3mUyGfYTkhI1NBm4/Txd901dfdXuhd1X5sX/KX5w38ztLGwMFebT95Ufq+8io+N17E/T+njGl8q4OrDWpen957TmA7T1XlUO3UZ3V43zvtrRKsJunLqYdYUjEXfuashb45V76mdNWPv1wq/Halfvlmh9XO3G9rY57RTAa+HJQ1qtvKRY66cev2dGnr9nRqG/f5Xg9TJq59h2y5HNtVoUVnff7owxbG/++QndRreRr2ndZGjWw4F3wrVurnb9Mvo5Zl/oS+I+s3Kyzabtdp3q6X23WoZ9p84dFmDuv8oSbLPbqMChdwMx+7fi1OjVhX1/qcNZWVlqaCAcO3e6qvffnxYpiXgZpiG9flZPT9tpObvVNXtgDuaMmqVDu+9YGjz3di1eu+jevro8zfl6Gyv4KAIrV92SL/M+vPpX/hzKj4+Qe3erab8BZxlJjMFBIRr1bJDWvbbfkMbe3sbeXi6GrYTEhI1dNASffxpI039vrPu3Y3R5g1/a/7chws/+t8K19BBS/RBn/pq2baybgdF6H/j1urQgUuGNjMmb1LnHrXVd0BDOTrZKfh2pNauPqqff6Q8T1pG/fKR3Au4GLa/3TpEktQo94eSkr45UqBYbllYPfzWyvgPf9SH37TTmKUfKzEhUbvXHtXMLx5+MyU+PkFtP3pD+YrkkpmZFHg9RGvm/aUVPzz8e1GS8hXJpdJVi2rIW9Oe5iW+MHg/fP6MmtVZ7vmcDNvfrugrSWrk/bmkpMz2AoVzycLyYb5e8bL51aHP68pmZ61rl4I0fcRKbVudscCzuZmZOvdvoNz5nBUfn6Bb14I1b9IGrVvCNx0A4GkzS3zwfWngBZdaoDYjYmJiZG1tnckzS1l8fLzMzMxkbv50vyiR2n05ceKE1q9fr9KlS2vMmDHq3r37EwWw65u3zcTZ4qkz44s5zxNzKz6Hfp6YlSiS1VNABsQ72GT1FJABlhdupN8IJiMxt2v6jWAyzO7HZvUUkAFxZy+k3wjAE9mckHrJw6cp6pbnMx3PPo/pLQBNpAIvnISEBM2ePVv169dX6dKlVadOHc2cOdNw/Nq1a+rYsaPKlSunZs2a6ejRh5+8/7uEyPTp09W8eXMtXbpUdevWVdmyZSVJHTt21KhRozRq1ChVrFhRVapU0ZQpU5Te50F37tzRsGHDVL16dZUpU0Zvvvmmtm/fbjT21q1b1bhxY5UpU0Y3b95UeHi4Bg0apMqVK6tcuXLq3r27rly5IklKTExU1apVtWHDBsMYzZs3V40aDzMZDx06pNKlS+vu3bspzqlevXqSpBYtWsjLy0sdO3aUJJUtW1aDBw9WkyZNnlnQHgAAAAAAAHgUqVt44UyaNElLly7V559/rooVKyowMFCXL182HJ88ebIGDx4sT09PTZ48WQMGDNCmTZtkaZnyr4Ofn582btyoGTNmGGVDr1ixQm3atNHSpUt18uRJDRs2THnz5tVbb72VYj8JCQnq0aOHoqKiNGHCBHl4eOjChQtGfd67d0+zZ8/W119/LUdHR7m4uKh///66evWqZs6cKQcHB02YMEE9e/bU2rVrZWVlpcqVK+vAgQNq2LChwsPDdfHiRdna2urixYsqUqSIDh48qDJlyihbtmwpzmvp0qVq27at5s+fr6JFi8rKyupJbjsAAAAAAACQ6Qhg44USGRmpBQsWaNiwYWrZsqUkycPDQ5UqVdL160kLf3Xt2lV16tSRJPXt21dNmjTR1atXVaRIyl/tjo2N1fjx4+Xs7Gy0P0+ePBoyZIjMzMxUuHBhnTt3TvPnz081gL1nzx6dOHFC69atU6FChSRJBQoUMGoTGxurESNGqESJEpKkK1euaNu2bVq8eLEqVKggSZo4caLq1KmjLVu2qFGjRvLx8dGSJUskSQcPHlTJkiXl6uqqAwcOqEiRIjpw4IB8fHxSvWcPrsvR0VFubm6ptgMAAAAAAMCzFU/1Z0qI4MVy6dIlxcTEqGrVqqm28fLyMrx+ELANCQlJtX3evHmTBa8lqVy5cjIzMzNsly9fXlevXlV8fLy+//57vfLKK4Y/N2/elK+vr3Lnzm0IXqfEysrKaH4XL16UpaWlypUrZ9jn5OSkQoUK6eLFi5KkypUr68KFCwoJCdHBgwfl4+MjHx8fHThwQLGxsTp69KghgD1s2DCjeQEAAAAAAACmjAxsvFBsbNJfcOnREhkPAtAJCQmptk+t9EZa2rdvr0aNGhm2c+XKJVtb23TPs7W1NQqKPw4vLy/lzJlTBw4c0MGDB9WvXz+5ublpzpw5+vvvvxUXF2cIVn/88cfq1q1bxi4GAAAAAAAAWSJBZGATwMYLpWDBgrK1tdW+ffuSlefIbCdOnDDaPn78uDw9PWVhYSFHR0c5OjoaHffy8pK/v78uX76cZhb2o4oUKaK4uDgdP37cUEIkNDRUly9fVtGiRSUlBeEfLP54/vx5VaxYUdmyZVNMTIyWLFmi0qVLy87OTpLk4uIiFxcXozEeBPTj4+MzfA8AAAAAAACAp4kANl4oNjY26tGjhyZMmCArKytVqFBBISEhOn/+vKpVq5apY928eVNjxoxRu3btdPr0af38888aPHhwqu19fHxUqVIl9e3bV5999pk8PDx06dIlmZmZqVatWimeU7BgQdWrV09ffvmlRo4cKQcHB02cOFHu7u6qV6+eUd/jxo1T6dKlZW9vL0mqVKmS1qxZk27GtYuLi2xtbbVz507lzp1bNjY2yp49u2JiYgxlSmJiYhQQECBfX1/Z2dnJ09Mzo7cLyBTunm56d2grlX+ttJxzOyr4Zoi2/rJLi75ZrrjY1D+Eadyjnuq2f1VFKxSSfQ47tXDuoqjw6Cfqt03/N9WkRz3l8nTTndsRWjNzkxaNWfHUrvl55u7pqnc+b6nydUrKyd1RwbdCtW3xbi0euzLN59Wo22t6rV11FS1fSPY5sqmVew+j5yVJP52dotyexnX75w79Vb9NXJOsv7yF3fXt/tFKiE9Q69w9M+fiXlAjpryjwl655ehsr8g793R0/0XNnbpZIUERqZ5jZW2pngMaqHaDMrKyttDhPRc045s/FBYSZWhT3qew3vuorgoWdde9uzHasuaY5s/YqoT4h9+AqlitqDp88Jo8i+RSzP04nTxyRbP/t1EBN8Oe5iU/10aNbasixdzl6GiviIh7OnrosubM3Kbg4MhUz7GytlCv3q+rTr2SsrKy1KEDlzRt0gaFhUYZtXujUVm1buej/AVcFBV9Xzu3+2r6/zYajhcqkkt9+jeQV4m8CguL1qplB/Xbon1P7VpfBMN/6qXCpfLL0TW7IsOjdXTHGc37eqVCAsJTbO/gaKeOA99UhdrecsvnpPDgSO3dcFwLxq1RdMQ9SVKhkvn0Vp83VMqnqHI42yvgWojWLdipVXO2G/VVpnox9RzRWp5eeRR0M1SLp2zQliU8r7Twfvj8yJXXUe98WFflqhSRk2t2hQTe0bY1x/TrrO1p/nsjTwFndR/UWKUqeMrK2lKHdp7TzNFrFPbPe2iZyoU0fkHK/274uO23OncyaY2lgsVz66Mvm6l4mfwKD4nS6l/26ve5OzL/QgG8tOLJwCaAjRfPhx9+KAsLC02bNk2BgYFyc3NT+/btM32cFi1a6N69e2rbtq0sLCz03nvvqV27dmmeM336dI0bN079+/fX3bt35enpqQEDBqR5zpgxYzR69Gj16tVLsbGxqlSpkn744QejUig+Pj6Kj483WqzRx8dHW7duTXMBR0mytLTU0KFD9e2332ratGmqVKmSFi5cqMDAQLVo0cLQbt68eZo3b558fHy0cOHCNPsE/quJW4dp04K/tOmnv4z2FyiRV+bm5pr6wWzduOCvQqUL6JNZPWVrb6MfBv2can822Wx0cONxHdx4XN3HvJPs+OP2++GUzqpYv6x+GPSzLv/tp+zODsru7JB5F/6cGr/pC21euFObFxr/Z61A8bwyNzfT1N7zdPOivwqWLKB+33WXrZ2NZn++KNX+bLPZ6NCmEzq06YS6fZ36+/dPI5dq/byHQZoHAZ1HWVha6LMFH+nk7rMqWbXYE1zdi2f8nC7avPqoNq8+luzY8UOX9evcHQq5HSGXXDnUo38DDZ3YTv07zUm1v/c/bSifmsU1euASRUXe00efvakv//e2BnROOqdQcXeNmtFBv87ZoQlDl8s1Vw71+aKpzM3NNWdyUkDUPa+jhk95W8t/3qvxQ36XvYOten7aSF9Oaq/eb3//VO7D82Li9A7atO6ENq0/kezYsSNXtXjhbgXfjpSrW3b1/Oh1ffl1a/X74KdU+/ugT31VqV5UX325XFFR99X7kwYaMbq1+n24wNCmdTsftWlfVT98t1VnTt2QbTZr5c6d03Dczs5aY//3to4cuqypE9erUOFcGvD5m4qMvK91q49m7g14zoxb3k+bl+xLMTh8fPc5LZm6QSGBd+SS21Hdh7fSF3N6aEDTiSn25ZI7p5zdc2rOyOXyO3dLufI7q/f4t+WSO6dGd0/6/SpWzkNhtyM1ofd8Bd0IkXflIuo74R0lJCRozbykv0PdPVw06ucPtXbBTo3/aL7K1/RSv0nvKiQgXEf+9H16N+M5wPvh82XcTz20ecVhbVl5xGh/gcK5ZGZmpunDV+qm3215Fsutj0e1lG02K82ZsD7FvmyyWWn0nK66dPaWPvvn+XTsW18jvntPn7SfqcTERPke89M7NUcbndexb32Vr1rUELy2s7fR6DlddWzvBU0fuVKFiudWv69bK+rOXa1fevAp3AUAeDkRwMYLx9zcXB988IE++OCDZMfOnj1rtJ0jRw6jfa1atVKrVq0M23369FGfPn1SHMfS0lJffPGFRo4c+dhzc3R01JgxY1I89u+xH8iZM6fGjx+fZr/e3t7Jrq1z587q3LnzY82rbdu2atu2rdG+/PnzJ+sTyGqHNh7XoY3HDdv+lwOVv/gfatqrfpoB7BXT1kmSytYu+cT9epTIp6a96qtH2U91/dytpHZXgv7zNb3IDm0+oUObHwbd/C8H6fcpa/Vmz9fTDGCvmLFBklS2lnea/d+NuKfQVDIXH+g8oq2unbulY9tPEcB+DCt+3mt4HXgrXL/N26lhk9+WhaW54uOSrxdh52CjBi0raNznv+v4wcuSpEnDV2jOyr4qUSa/zvx9XbUblNGV8wFa9MOfkqRb10I0d8omDRn/ln6ZtV13o2NUrGTSh0g/zdiqxH9WWV+2YLeGT0l9bEjLfztgeB0YcEdLft6jEWPaysLCXPHxKTwvexs1fLO8xoxcqWNHrkqSJn7zh+Yt6iXvUnnle+qmHLLbqnOPOho2+DcdPXzFcO7li4GG13XfKC1LKwtNGvOH4uISdPXybRUp5q7W7Xxe+gB2Wlb+sM3wOvB6iH6bvlHD5r+f6s/41TO3NLr7bMP2rau39dPY1Ro0o7PMLcyVEJ+gTYv3Gp3j7xcs70qFVL1xeUMAu8l7NeXvF6w5I5ZLkq6d91cpnyJq2bPuSx/ATgvvh8+Pw7vO6fCuc4Zt/+uhWvajq5q0r5pqALvUKwWVK5+Terearuio+5KkSZ8v1dL9w1SuamEd23tRcbHxCr398BstFpbmqla3pFb/8vBn47Wm5WVlZaHJQ5cpLjZefhcCVbhEHrXsXIMANoBMQw1syTyrJwAAwH9hn9NOESGpf10+s/qt+mZF3boUqKpNKmrBhelaeHG6+v/wvrI72Wf62C+yzHxeb33aVEtvfK9v941Wm0+ayNzC+J815eqUVM3WVfTtx/MzZbyXjUOObHqtcVn5Hr+WasCkmHdeWVlZ6uj+S4Z916/cVsDNMHmXS1qLwsrKQjH344zOi7kfKxtbKxUrmVeSdP70TSUkJuqN5q/I3NxMdg42qvdmOR3df4lgzWPKnt1Wdd8ordMnr6cYvJak4l65ZWVloSOHLhv2XfMLVoB/uLxL5ZckVahcSOZmZnJxy665P7+vRcv7aOiolnLLld1wTsnS+fT3MT/FPfJsDu2/JA9PVzlkT3/RaiSVB3mttY98D2bsZ9w+ezZFR94zKjeRUpvIsIclK0pULKRjO84YtTn852l5Vyqc8Ym/pHg/fP7YZ7dVxL/Kjz3KytpCSkxUbMzD5xF7P06JCYkqVaFgiudUfc1b2R3ttHn5IcO+EuU99Pehy0alSg7vOq8ChXPJIQfvhwCQWcjABgBkubc/a6G3P29p2LbOZi3vqsXUe1pXw75upfsr6Fqw0Xl5i7irRe+GmjUoc8vapNRvnsK55O7pqlptqmp8529lbmGuDya9py9/669B9b/K1PFNXftBzdR+UHPDtnU2a3n7FNVHkzsZ9vV4ZVDy51XYXc0/eCPN7OvHterbjbpw7IoiQiJVsmpxdfmqnZxzO+qHwb9IkrI7O+jT2e9rXJeZio64+5/He56161ZL7bvVNGxb21ipRJn8+vCzJoZ9PVvNUJB/UjZ714/rq1n7KrLNZi3f49c0rG/q325wcnVQTEycov5VviUsJFJOLknldQ7vvaAW71ZTnYZltGPTSTm5OuidnnUkSc6uSUHRgJth+uKDBRoy/i31HdpUFpYWOn3cT1/2Tn3sF9XbHavr7Y6vGratbSzlXTKfen/SwLCvW8dZCgq4I0nq/sFrataqkrJls9bpk9c1dNBvqfbt5PLP84q8b7Q/NCRKzi5JH8blyesoM3Mzvd2xumZO3ayoqHvq3KOOxk5+R+93mq24uAQ5Ozvo1q0w4z7+qaHt7GyvyBTK+byo2vVtoHYfP3w21rbWKlGhkD785i3DvvdrfaWgG6GSpK5DW6hp19qytbOR76FLGt5x5mOPlcPZXm/3b6T1C3en2sa7UmHVal5Rwzt8Z9jnlCuHQv9VtzksKEL2ObLJ2tZKMfdiH3sOzzveD58v7XrWUbt/7o8kWdtaqUS5AvpwaDPDvvebTlbQLeNvY+XxcFGzd6trzoR1qfZ95vg13bsbq66fNtL8yRslM6lr/4aysLSQs1v2FM9p0Kayjuw+r9v/vP9KSc/N/3qIUbsHNbSdXLMr8s7L834I4OmJTyQDmwA28ASoAQ1krj9mbdZfSx9+HfOzhX20a/kB7Vqx37Av+Gao0TkueZ30zboh2vH7Pq2fs02ZJbV+zczNZG1rrXGdv9WN80klRCb1mKWZh8Yqf/E8hrIiL4O1s7dqx+8Pn83g+R9q18qD2r3y4VdlU3peo9cM0o7l+43qVj+p5dMefiX48slrio2N08czuurHL5coNiZO/b7rru2/7tHJXWfS6OXlsHbpQe3YdNKwPfibNtq19bR2bz1t2Bf8SHDr9592a+OKI8qV11Ed3q+jgV+31rA+Tx44ObL3ouZO3qQ+XzTVwK9bKTY2Xot++EtlKhZUQkLSP8adXBz08bBm2rLmmP5cf0LZ7G303od1NXRCO33eK/V6zi+iP1Ye0V/bHpZ1+Gx4c+3684x2/fWwrFfw7YfP67dF+7T+j+Nyd8+pjl1ravDQZho6aMkTj29uZiYrKwt9N2WTDv9TBuGbESu1ZNXHKl+hoA4duJRODy+XtQt2asfqh/V4B33XWbvXHtPutccM+4L9HwbXfv9uszYu2qNc+Z317oDG+nR6J6Ngc2rsHGw18ucP5XfOXz9P/CPFNp4l8mj4T+/rl0lrdeQvSoOkhPfD58vaJfu1Y8Pfhu1B49tp9+aT2r35lGFfcKDxhzMuuXLo6x+6aOfGv7UhjRIe4aFR+qbfIvUe3lzNOlRTYkKi/lx3QudP3TCUbnmUq3sOVXi1mMZ88t8/hAcAZBwBbABAlosIjVJE6MOvO8fcjVFYULhuXgxIsb1LHidN3DpMp/ee0+T3f8i0eaTVb8itMMXFxhmC15Lk55u0gE8uD9eXKoD97+d1/16MwoLu6OallJ+Xcx5Hjd/4hU7vO6+pH859KnM6e+CCLK0s5e7ppuvnb6l8nZKq9mYFtfnkn6w6MzNZWJhrXeQCTflobrIFQl9kkXfuKvLOwyz0mPuxCg+J1K1rISm2vxMWrTth0brhF6xrl4L086ZP5V22gHxPXEvWNvR2pKytLWWf3dYo69DR2UGhwQ9LxSz/eY+W/7xHzm7ZFXnnrtzzOqrrx/XlfyNpDk3b+Sg68r7mTtlkOGf8kGX6edOnhtqxL4uIiHuKeORextyPU1hotG7eCE2x/Z3wu7oTflc3roXI7+ptLV7RV96l8sn31I1kbUOD/3leDjZGWdhOzvYKCU76nQ7557ldvXLbcDw8LFp3wqPl5p4jqU1IpJz+VT7pwXZISJReJpFh0YoMe1imIOZerMJuR+hWKmsk3AmJ0p2QKN24FKhr5/218Og3KlGxkM4cvpxie0nKZm+jrxb31t3I+/qqy6wUy0h4FM+tMUs/1vqFu/XrlA1Gx0ID78jpXxmljm7ZFXXn7kuVfS3xfvi8iQy/q8hw4+cVFhypW37BKbZ3dsuusT/10OljVzVt2Ip0+z+y57y6NpioHI52io9PUFTEPf2yY0iKPw/1W1VSRFi09m03/nAo5HaEHF2MF/R+sB162zi4DgBPigJS1MAGADxnXPI6aeK2YTp/5LImdv0uxSyZp9HvqT1nZWllqTyF3Q378hdPqlcZcPW2kDKXvE6asGmozh+9rEk9ZmXa8/q3wuU8FR+foLCgpEzHfrVH6AOfIYY/C0f9rqg7d/WBzxDtWcWiSo/LzNxM0j+1QlNw3vemYmPjVN7nYS3d/J4ucs/rKN/jyQM8IUERirkfpzoNyyrwVpgu+CZ98GN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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", " chirp-crow-t1 (12 comparisons)\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": 59, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:04.571474Z", "iopub.status.busy": "2025-09-24T12:35:04.571220Z", "iopub.status.idle": "2025-09-24T12:35:07.087473Z", "shell.execute_reply": "2025-09-24T12:35:07.086951Z", "shell.execute_reply.started": "2025-09-24T12:35:04.571460Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is cover\n", "len pos models: 111910\n", "differing counts: 47064\n", "chirp-auk-engine-b_win_over_chirp-auk-engine-b, win ratio 1.000, (1.000, 1.000), counts 86, total 86.\n", "chirp-auk-t1_win_over_chirp-auk-t1, win ratio 1.000, (1.000, 1.000), counts 1391, total 1391.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 340, total 340.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 8317, total 8317.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 3060, total 3060.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1, win ratio 0.509, (0.495, 0.523), counts 2359, total 4634.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1_cfg_steps_10, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1, win ratio 0.488, (0.474, 0.503), counts 2261, total 4632.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1_cfg_steps_30, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1, win ratio 0.496, (0.476, 0.516), counts 1172, total 2362.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1_cfg_steps_480, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_mask_control_slider_win_over_chirp-crow-t1, win ratio 0.640, (0.632, 0.648), counts 9270, total 14478.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1, win ratio 0.502, (0.487, 0.516), counts 2347, total 4679.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1, win ratio 0.503, (0.482, 0.523), counts 1179, total 2346.\n", "chirp-crow-t1_tag_cfg_05_win_over_chirp-crow-t1, win ratio 0.524, (0.504, 0.544), counts 1202, total 2294.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1, win ratio 0.438, (0.418, 0.458), counts 1035, total 2362.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1_tag_cfg_20, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1, win ratio 0.504, (0.483, 0.524), counts 1165, total 2313.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1, win ratio 0.482, (0.462, 0.502), counts 1134, total 2352.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1, win ratio 0.483, (0.462, 0.503), counts 1118, total 2317.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1_temp_s_85, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1, win ratio 0.507, (0.486, 0.527), counts 1163, total 2295.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1_temp_s_95, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_win_over_chirp-crow-t1, win ratio 1.000, (1.000, 1.000), counts 49599, total 49599.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_10, win ratio 0.491, (0.477, 0.505), counts 2275, total 4634.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_30, win ratio 0.512, (0.497, 0.526), counts 2371, total 4632.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_480, win ratio 0.504, (0.484, 0.524), counts 1190, total 2362.\n", "chirp-crow-t1_win_over_chirp-crow-t1_mask_control_slider, win ratio 0.360, (0.352, 0.368), counts 5208, total 14478.\n", "chirp-crow-t1_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 0.498, (0.484, 0.513), counts 2332, total 4679.\n", "chirp-crow-t1_win_over_chirp-crow-t1_n_tag_3, win ratio 0.497, (0.477, 0.518), counts 1167, total 2346.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_05, win ratio 0.476, (0.456, 0.496), counts 1092, total 2294.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_20, win ratio 0.562, (0.542, 0.582), counts 1327, total 2362.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_100, win ratio 0.496, (0.476, 0.517), counts 1148, total 2313.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_80, win ratio 0.518, (0.498, 0.538), counts 1218, total 2352.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_85, win ratio 0.517, (0.497, 0.538), counts 1199, total 2317.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_95, win ratio 0.493, (0.473, 0.514), counts 1132, total 2295.\n", "chirp-v3p5-engine-b-tau_win_over_chirp-v3p5-engine-b-tau, win ratio 1.000, (1.000, 1.000), counts 29, total 29.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 25, total 25.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 1642, total 1642.\n", "chirp-v4-engine-b-tau_win_over_chirp-v4-engine-b-tau, win ratio 1.000, (1.000, 1.000), counts 5, total 5.\n", "chirp-v4-h-t-6_win_over_chirp-v4-h-t-6, win ratio 1.000, (1.000, 1.000), counts 343, total 343.\n", "tournament players: ['chirp-crow-t1', 'chirp-crow-t1_cfg_steps_10', 'chirp-crow-t1_cfg_steps_30', 'chirp-crow-t1_cfg_steps_480', 'chirp-crow-t1_mask_control_slider', 'chirp-crow-t1_max_tag_len_1024', 'chirp-crow-t1_n_tag_3', 'chirp-crow-t1_tag_cfg_05', 'chirp-crow-t1_tag_cfg_20', 'chirp-crow-t1_temp_s_100', 'chirp-crow-t1_temp_s_80', 'chirp-crow-t1_temp_s_85', 'chirp-crow-t1_temp_s_95']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 768.39it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-crow-t1: 995.7, (992, 999)\n", "chirp-crow-t1_cfg_steps_10: 1002.0, (993, 1012)\n", "chirp-crow-t1_cfg_steps_30: 987.6, (977, 998)\n", "chirp-crow-t1_cfg_steps_480: 993.2, (980, 1006)\n", "chirp-crow-t1_mask_control_slider: 1095.7, (1090, 1102)\n", "chirp-crow-t1_max_tag_len_1024: 996.9, (988, 1007)\n", "chirp-crow-t1_n_tag_3: 997.5, (984, 1011)\n", "chirp-crow-t1_tag_cfg_05: 1012.3, (998, 1026)\n", "chirp-crow-t1_tag_cfg_20: 953.1, (938, 965)\n", "chirp-crow-t1_temp_s_100: 998.3, (985, 1012)\n", "chirp-crow-t1_temp_s_80: 983.5, (970, 997)\n", "chirp-crow-t1_temp_s_85: 983.8, (971, 998)\n", "chirp-crow-t1_temp_s_95: 1000.4, (987, 1015)\n" ] }, { "data": { "image/png": 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aBw8mLBT279Iis2fPVps2bbRs2TI1bNhQ5cuXlyR16dJF48aN07hx41SlShXVqFFDM2bMSHNBhFu3bmn06NGqXbu2ypUrpxdeeEG//fabxdhbtmxRixYtVK5cOQUFBSk8PFxDhw5VtWrVVKFCBfXs2VPnz5+XJJnNZtWsWVMbNyZ81blNmzaqU6eOsb1v3z6VLVtWd+/eTXZOjRo1kiS1bdtWfn5+6tKliySpfPnyGjZsmFq2bPnYgvcAAAAAAABIYMqi/7NGlBbBE+fjjz/WsmXLNHz4cFWpUkXXr1/XuXMJnyJNnz5dw4YNU6FChTR9+nQNGTJEv/zyi+ztk/91uHjxojZt2qQ5c+ZYZEevXLlSL730kpYtW6ajR49q9OjRypcvn15++eVk+zGZTOrVq5fu3LmjqVOnytfXV6dPn7bo8969e5o/f74mTJggDw8PeXl56Z133tGFCxc0d+5cubq6aurUqerdu7fWrVsnBwcHVatWTf7+/mrWrJnCw8N15swZOTs768yZMypWrJj27t2rcuXKKVu2bMnOa9myZerQoYMWLlyo4sWLy+GfuocAAAAAAACAtSCQjSdKRESEvv32W40ePVrt2rWTJPn6+qpq1aoKDIxbdOb1119X/fr1JUkDBw5Uy5YtdeHCBRUrVizZPqOjozVlyhTlzJnTYn/evHk1YsQI2djYqGjRojp58qQWLlyYYiB7586dOnLkiNavX68iReK+FlKwYMEkY40ZM0YlS5aUJJ0/f15bt27VkiVLVLlyZUnStGnTVL9+fW3evFnNmzdX9erVtXTpUknS3r17Vbp0aXl7e8vf31/FihWTv7+/qlevrpTEX5eHh4d8fFh4BwAAAAAAwFrEUqLHQGkRPFHOnj2rqKgo1axZM8U2fn5+xuv4wO2NGzdSbJ8vX74kQWxJqlChgmxsbIztihUr6sKFC4qNjdXnn3+uSpUqGT9BQUEKCAhQnjx5jCB2chwcHCzmd+bMGdnb26tChQrGPk9PTxUpUkRnzpyRJFWrVk2nT5/WjRs3tHfvXlWvXl3Vq1eXv7+/oqOjdfDgQSOQPXr0aIt5AQAAAAAAAP8FZGTjieLk5JRmm8SlM+ID0SZTyrV/UirJkZpOnTqpefPmxnauXLnk7Oyc5nnOzs4WwfH08PPzk7u7u/z9/bV3714NHjxYPj4+WrBggf766y/FxMQYQetBgwbpjTfeyNjFAAAAAAAAIEuYREZ2PALZeKIULlxYzs7O2r17d5KyHZntyJEjFtuHDx9WoUKFZGdnJw8PD3l4eFgc9/Pz09WrV3Xu3LlUs7ITK1asmGJiYnT48GGjtMjNmzd17tw5FS9eXFJcMD5+kchTp06pSpUqypYtm6KiorR06VKVLVtWLi4ukiQvLy95eXlZjBEf2I+Njc3wPQAAAAAAAAAeBwLZeKI4OTmpV69emjp1qhwcHFS5cmXduHFDp06dUq1atTJ1rKCgIE2aNEkdO3bUsWPH9P3332vYsGEptq9evbqqVq2qgQMH6r333pOvr6/Onj0rGxsb1a1bN9lzChcurEaNGmnUqFEaO3asXF1dNW3aNOXOnVuNGjWy6Hvy5MkqW7assmfPLkmqWrWq1q5dm2YGtpeXl5ydnbV9+3blyZNHTk5OcnNzU1RUlFG+JCoqSteuXVNAQIBcXFxUqFChjN4uAE8pV3cX9RvbXjUalZHJbNafGw7r87ErdS8yKtn2uQp46psdo5M9NrHfQu1Yf1huHi4aOrOzipTMpxwe2RUWelu7fj2qb6auU2TE/STnla5SRFOW9tf5k1c1oMW0TL0+PF1eebeVqjerqKLlfRUTFaMX87+ZrvO6jmyvZj3qy9XdRcd2n9KsQQsVdOaaJCm3r7defa+NKtYrLc/c7gq9clNbf9ipJVPWKCY64UPmuu2rq9O7rZS/eB6Fh9zWmnmb9dOM9Y/iMvGU6FunuuoVL6JSeXwUHRuralPnpuu8gfVqqUOlcsrh7KQDl4I0ZsMWXbgRJknK755D/Z6roZqFC8rbNbuu347QmqPH9fn2PYr+5xuQjnZ2Gtuykcrkza1i3jn1+6mz6v/j2kd1mXhKdOpVT9Wf81NRvzyKiY7VS3Umpuu8Lv0aqfmLVZXdzVnHDl3U7AlrFHQx1Dg+ZtZrKuqXVx45syvi1j0d3H1GX87YpBvBt402RZ7Jrf7vt1KJMvkVfjNSq5fs0k9f78j0a8TTo1Ov+qpet4SK+uWNe56fnZCu87r0b6TmL1b753m+oNnj//08d1bRkomf59P6crrl81yldnF17tdIhYrnVtT9GB3df07zp23QtaCwzL5M4IFQIxtPnH79+qlHjx6aNWuWWrRoobfffjvVGtgPqm3btrp37546dOigcePGqWvXrurYsWOq58yePVtly5bVO++8o5YtW2ratGmpljWRpEmTJqlMmTLq27evOnbsKLPZrC+++MKiREr16tUVGxtrsahjcvuSY29vr5EjR2rp0qV67rnn1K9fP0nS9evX1bZtW7Vt21bBwcH66quv1LZtW40cOTKtWwPgKTP5h/5q/FK1ZI8NndlZviXyaESXuRrz+nyVrV5MAyclvyiuJIUEhenVaqMtfr77ZIMiI+5p3+8BkiSzyazdvx7V2J5fqmfDD/XJ/5aoUp0SGjCxQ5L+sudw1v8+eVWHdp7KnIvFE2/KhuFq0rlOssfsHe21baW/1i3Ymu7+Xn6npdq82USzBy7UoPpjde/OfX24+l05OMX973hBv7yytbXRzIFfq3fV4Zo3bLFa9myoHmMTnueqz5fXsK/6at2CrepTbYTmDP5G7Qc0Ves+jR/uYvHE+7bLS2pXvnSyxxzs7LQx4KSW7DuS7PHk9KpdVV2qV9SY9Zv18ldLdDc6Wl++2l6OdnaSpKLenrKxsdHo9ZvV8vNvNenXP9Spcjm93fBZow87Wxvdj47Rd/4HtevsxYe7QDxVpnz5hpq0Tn6dH3sHO23/5ajW/eif7v469HhObV6tqVnjV2vwa5/r3t0oTfy8mxwcE/L9Dvuf04fv/qCerWdq/DuLlbdgTo38+BXjuEt2J02c113Xg8L0Vqe5WvDJRnXu21DNX6z64BeKp8KUr95QkzaZ+Dy//pzavFrrn+d5ru7djdbEed0tn+e9Z/Xh/35Qz1YzNP7tf57nTxKe59z5PfXBrM467H9W/V+ao5F9FyqHZ3aNmv7ag18oMkWszFnyY43IyMYTx9bWVm+++abefDNpltSJEycstnPkyGGxr3379mrfvr2x/dZbb+mtt95Kdhx7e3u9//77Gjt2bLrn5uHhoUmTJiV77N9jx3N3d9eUKVNS7bdUqVJJrq179+7q3r17uubVoUMHdehgGQAqUKBAkj4BICMKFsulavVLaWCrT3Tqr0uSpLljVmjc1720YOIa3bh+K8k5JpNZNxNlhUhS7abltH3dISOLO+LWXa37fqdx/Prlm/r5uz/1Uu8GSfp7a2IH/bb6gEwmk2o9Xy4zLw9Poe8mrpSkFAPdyWnbv6mWTFmjXesOSJKm9Jqnpedmq3aryvrjpz3a9+tf2vfrX0b7q+eD9dPMDXqhZ0PNH/GDJKnxK89q59oDWvflb0abH6b9rJffaak18zZn1uXhKTP7j12SlGKgOzldq1fW3O3+2nLyrCRp6OqN2vlOHzUuWUzr/z6p7WcuaPuZC0b7wLBwFfHar1eqVNCUzdslSXejYzRmQ9yHQZUL5lMO57TXuAHS8v1ncc9USoHu5LTrXFtL5v+u3b8flyRNff8n/fDbe6rdsJT+2Bj3d3ll4n9vXAnTj19t0+gZr8rO3laxMSY1aFlBDg52+mT0SsXExOrCmesq6pdX7bs+qw3L92XiFeJp8v1nWyQpxUB3ctp1flZLvvhdu3+LS/yYOmKZfvh9uOXz/N2/nucvt2n0zNeM5/mZ0vlka2urb2ZvltkcF8RcvnCHPpiV0AbIamRkAwCAR6JU5cK6HR5pBLEl6eCOkzKbzCpZKX0lioqXLaBiZQpo09I9KbbJmSuHnm1WXn/tOWOxv0mH6spT0EuLZm56sAsAHlKewj7yyuOhA7/9beyLvHVXx/eeVakaxVM8L3uObLp9846x7eBor6j70RZtou5GyaeAl3L7emf+xIFkFPBwVy637Np5LiGLOuJ+lA5fvqpK+fOleJ6bk5PC7957HFME0i1Pfk/l9HHTwd0J/3aIjLiv438FqlSF5Ndacs2RTQ1aVFDAoUtGQK9UhYL6a/95xcQklILav/OUChbxkaub86O9COAfeQqk9jz7JnuOa45satCyggIOXTSe51PHgmQym/V828qytbWRi6uTGrWqqIO7zxDEzmImmbPkxxqRkQ0AADKkY7/G6tg/oaSBo7ODSlYqpH5jXzT29WnykTx9cig8JMLiXFOsSbfDIuXp45ausZp2rKGLp64q4MD5JMeGzeqimk3Kyjmbo3b/elQz3ltqHMtX2Fs9hr6gd1+eLVMs//BGyjr9r5U6vdvK2HbM5qhS1Yup/8ddjX29qgxXcGBocqenKmdud0lS2PVwi/1h18OVM5dHsufkK5pLbfo2MbKxJWnf5r/Ud/Jr+rX+dh3+I0D5iuXWiwObx42Rx0PXLoZkeG54MvV5tpr61EkoK+dsb6+KBfJqVPOEb6y0nPutrty6ndzpqfJxjVs8PPROpMX+0DuR8v7n2L/5erqrc7WKmrx5W4bHAzr2rKdOPRPWEnJ0clDJ8gXUb8QLxr7ebWcp+Gp4cqenytPbVZIUFmr575Sw0Ah5eln+G+X1wc+r9Ss15ZzNUQGHL2r0gO8S+vFy07XLN5P0ETeGmyJu8yEO4nTsWU+detUztuOe54LqNyLh3yC928x8sOf5n2c22ef5n2c93utvN1XrTjXl7PLP89z/W+PYtcs39X6frzVi2isaOLqN7OztdOzQBY3q960Aa0EgG3gA3333XdqNAOAJtW7RTm1bd8jYHjqzs/7ccER/bkyosxp6LWn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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", " chirp-crow-t1 (12 comparisons)\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": 60, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:07.088295Z", "iopub.status.busy": "2025-09-24T12:35:07.088012Z", "iopub.status.idle": "2025-09-24T12:35:07.219604Z", "shell.execute_reply": "2025-09-24T12:35:07.219120Z", "shell.execute_reply.started": "2025-09-24T12:35:07.088280Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is infill\n", "len pos models: 4442\n", "differing counts: 0\n", "chirp-auk-infill_win_over_chirp-auk-infill, win ratio 1.000, (1.000, 1.000), counts 146, total 146.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 123, total 123.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 3979, total 3979.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-v3p5-engine-b-tau_win_over_chirp-v3p5-engine-b-tau, win ratio 1.000, (1.000, 1.000), counts 5, total 5.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 148, total 148.\n", "chirp-v4-h-t-6_win_over_chirp-v4-h-t-6, win ratio 1.000, (1.000, 1.000), counts 39, total 39.\n" ] } ], "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": 61, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:07.220360Z", "iopub.status.busy": "2025-09-24T12:35:07.220084Z", "iopub.status.idle": "2025-09-24T12:35:09.415232Z", "shell.execute_reply": "2025-09-24T12:35:09.414711Z", "shell.execute_reply.started": "2025-09-24T12:35:07.220346Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is artist\n", "len pos models: 25598\n", "differing counts: 10506\n", "chirp-auk-engine-b_win_over_chirp-auk-engine-b, win ratio 1.000, (1.000, 1.000), counts 21, total 21.\n", "chirp-auk-t1_win_over_chirp-auk-t1, win ratio 1.000, (1.000, 1.000), counts 342, total 342.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 78, total 78.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 1950, total 1950.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 736, total 736.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1, win ratio 0.529, (0.500, 0.559), counts 582, total 1100.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1, win ratio 0.500, (0.471, 0.530), counts 540, total 1079.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1_cfg_steps_30, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1, win ratio 0.487, (0.442, 0.532), counts 228, total 468.\n", "chirp-crow-t1_mask_control_slider_win_over_chirp-crow-t1, win ratio 0.558, (0.540, 0.575), counts 1750, total 3138.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1, win ratio 0.490, (0.460, 0.521), counts 505, total 1030.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1_cfg_steps_10, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1, win ratio 0.529, (0.487, 0.571), counts 283, total 535.\n", "chirp-crow-t1_tag_cfg_05_win_over_chirp-crow-t1, win ratio 0.530, (0.488, 0.572), counts 288, total 543.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1, win ratio 0.461, (0.419, 0.504), counts 244, total 529.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1, win ratio 0.473, (0.429, 0.517), counts 237, total 501.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1_temp_s_100, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1, win ratio 0.452, (0.409, 0.495), counts 231, total 511.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1, win ratio 0.510, (0.466, 0.554), counts 252, total 494.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1, win ratio 0.510, (0.469, 0.550), counts 294, total 577.\n", "chirp-crow-t1_win_over_chirp-crow-t1, win ratio 1.000, (1.000, 1.000), counts 11672, total 11672.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_10, win ratio 0.471, (0.441, 0.500), counts 518, total 1100.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_30, win ratio 0.500, (0.470, 0.529), counts 539, total 1079.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_480, win ratio 0.513, (0.468, 0.558), counts 240, total 468.\n", "chirp-crow-t1_win_over_chirp-crow-t1_mask_control_slider, win ratio 0.442, (0.425, 0.460), counts 1388, total 3138.\n", "chirp-crow-t1_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 0.510, (0.479, 0.540), counts 525, total 1030.\n", "chirp-crow-t1_win_over_chirp-crow-t1_n_tag_3, win ratio 0.471, (0.429, 0.513), counts 252, total 535.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_05, win ratio 0.470, (0.428, 0.512), counts 255, total 543.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_20, win ratio 0.539, (0.496, 0.581), counts 285, total 529.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_100, win ratio 0.527, (0.483, 0.571), counts 264, total 501.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_80, win ratio 0.548, (0.505, 0.591), counts 280, total 511.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_85, win ratio 0.490, (0.446, 0.534), counts 242, total 494.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_95, win ratio 0.490, (0.450, 0.531), counts 283, total 577.\n", "chirp-v3p5-engine-b-tau_win_over_chirp-v3p5-engine-b-tau, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v3p5-engine-t-6_win_over_chirp-v3p5-engine-t-6, win ratio 1.000, (1.000, 1.000), counts 127, total 127.\n", "chirp-v4-engine-b-tau_win_over_chirp-v4-engine-b-tau, win ratio 1.000, (1.000, 1.000), counts 5, total 5.\n", "chirp-v4-h-t-6_win_over_chirp-v4-h-t-6, win ratio 1.000, (1.000, 1.000), counts 158, total 158.\n", "tournament players: ['chirp-crow-t1', 'chirp-crow-t1_cfg_steps_10', 'chirp-crow-t1_cfg_steps_30', 'chirp-crow-t1_cfg_steps_480', 'chirp-crow-t1_mask_control_slider', 'chirp-crow-t1_max_tag_len_1024', 'chirp-crow-t1_n_tag_3', 'chirp-crow-t1_tag_cfg_05', 'chirp-crow-t1_tag_cfg_20', 'chirp-crow-t1_temp_s_100', 'chirp-crow-t1_temp_s_80', 'chirp-crow-t1_temp_s_85', 'chirp-crow-t1_temp_s_95']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 738.54it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-crow-t1: 998.2, (992, 1006)\n", "chirp-crow-t1_cfg_steps_10: 1017.7, (998, 1040)\n", "chirp-crow-t1_cfg_steps_30: 998.6, (979, 1018)\n", "chirp-crow-t1_cfg_steps_480: 989.9, (959, 1018)\n", "chirp-crow-t1_mask_control_slider: 1038.2, (1026, 1053)\n", "chirp-crow-t1_max_tag_len_1024: 992.1, (972, 1012)\n", "chirp-crow-t1_n_tag_3: 1017.5, (990, 1047)\n", "chirp-crow-t1_tag_cfg_05: 1018.5, (992, 1049)\n", "chirp-crow-t1_tag_cfg_20: 972.6, (943, 1000)\n", "chirp-crow-t1_temp_s_100: 980.5, (951, 1009)\n", "chirp-crow-t1_temp_s_80: 966.5, (938, 994)\n", "chirp-crow-t1_temp_s_85: 1005.0, (973, 1036)\n", "chirp-crow-t1_temp_s_95: 1004.7, (978, 1033)\n" ] }, { "data": { "image/png": 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Dhyo0NDTL+R9++EFTpkzRf/7zn4INBuRCcHCwlixZourVq+vvv/9WYGCgli5dalkxfejQIXXr1k1RUVEGJwXyDlt8AEAhs2HDBpnNZrVq1UrLli2Tq6urZc7e3l5ubm4qVqyYgQmB7EtJSbGcMl6qVCkVK1bM6tTx0qVL68aNG0bFA3IsJSXF6v1+/fqpWLFi6t27tyZOnGhQKiDnTpw4oYYNG1reDwwM1IIFC9SrVy+lpaWpZ8+eBqYDcubcuXPy8/O767yvr68uXLhQgImA3DObzZZ/7/3zfyXJzs4uy4VMgC1jiw8AKGS8vLxUuXJlxcXFqV69evLy8rL85+7uTjkNm1KzZk199913kqQVK1bIxcVF69ats8yvXbtWPj4+BqUDcqZmzZrauXNnpvHevXurX79+eueddwxIBeROuXLldPr0aasxX19fLViwQN9//72mTp1qUDIg5+rVq6eIiAilpaVlmktPT9fcuXNVr149A5IBOVenTh3NnTtXSUlJmjNnjipXrqxFixZZ5hctWmQ5/wIoKtjiAwBswO09yKpUqWJ0FCBHtmzZotdff10ZGRmys7PTF198oZEjR6ps2bKys7PTn3/+qfDw8Lu+JBcoTJYtW6bo6Oi7FncRERFaunSpfvvttwJOBuTc4MGD5ebmphEjRmSaO3TokHr06KGLFy+yxQdswu1D5VJTUxUUFCQ3NzdJt1ZWx8TEyN7eXl9++aV8fX0NTgrc3549e9S3b19dvnxZLi4u+vrrr/X+++8rMTFRJpNJly9f1uzZs60OtgVsHQU1ANiAhg0bavXq1RTUsEknTpzQvn37VKdOHVWuXFlnz57VokWLlJKSohYtWqhp06ZGRwSAh05cXJz27dunf/3rX1nOHzx4UOvXr9fAgQMLOBmQO1evXtXq1au1e/dunT17VpJUvnx5NWjQQG3btrXaYgwo7K5fv67Dhw+ratWqKlWqlFJSUrR69WqlpKToscceU7Vq1YyOCOQpCmoAsAEU1ABQuFy5ckXJycmSpAoVKqhMmTIGJwLy15gxY/Tmm29anY0BADAej88oCtiDGgBswAsvvKBSpUoZHQPIM8OHD1dSUpLRMYAcW7ZsmUJDQxUcHKzWrVurdevWCg4OVmhoqJYtW2Z0PCDfrF69WteuXTM6BpArqampSkxMNDoGkC94fEZRUNzoAACArKWkpMjR0VGSNHbsWIPTALkTFxeX5fiaNWsUEhKiCxcuSJL8/f0LMhaQK/PmzdPMmTPVvXt3Pf744ypfvrwk6ezZs9q6dasmTpyoy5cvq3fv3gYnBfIeL7yFLYuPj1f79u3ZUx1FEo/PKAooqAGgkGrcuLECAgIUFBSkJk2aqGHDhnJycjI6FpAjYWFhMplMWf7h/MYbb8hsNstkMvEPRtiExYsXa+LEiZkO9axevbqaNGkif39/TZkyhYIaAAAAyAEKagAopL766itt375d0dHRWrBggdLS0lS3bl0FBwcrODhYzZo1MzoicF9+fn6qVKmS3n33XcsTLGazWc8++6zmzp0rb29vgxMC2Xfu3Dn5+fnddd7X19fyqgAAQMFp3779Pef//vvvAkoCAMgNCmoAKKQaN26sxo0bq3///kpLS9Off/6pyMhIzZs3TxEREaw4hU1YtmyZpk6dqjfffFNTp05V7dq1LXPu7u7y8vIyMB2QM/Xq1VNERIQmTJig4sWt/4xOT0/X3LlzVa9ePYPSAcDD66+//lLr1q1VuXLlLOfPnDmjo0ePFmwoAEC2UVADQCF25MgRRUdHKzo6WlFRUUpNTdWTTz6p4OBgo6MB2eLg4KD3339fmzZt0oABA/Tiiy+qb9++RscCcuWDDz5Qnz591KxZMwUFBcnNzU3SrZXVMTExsre315dffmlwSgB4+NSsWVMBAQF68cUXs5yPjY3lIFsAKMQoqAGgkGrevLlSUlIsW3r07dtXfn5+MplMRkcDcqxFixb67rvvNHz4cG3evNnoOECu+Pv766efftLq1au1e/dunThxQpJUvnx5vfXWW2rbtq1Kly5tcEogf7zwwgsqVaqU0TGALAUGBurIkSN3nS9VqpQaN25cgImAgsPjM4oCk5njPgGgUGrXrp0OHz6sOnXqWErqRo0aqUSJEkZHAx7I119/raioKH3wwQeqVKmS0XEA4KEWFxeX5bjJZJKjo6M8PT3l4OBQwKkAAJs3b1bJkiUtT64sXrxY3377rWrUqKFRo0bJ2dnZ4IRA3qGgBoBC7PLly4qJiVFMTIyio6MVHx+vWrVqqUmTJnr77beNjgfkuX79+mn8+PFyd3c3OgqQY6mpqUpOTpanp6fRUYBs8/f3v+ers4oXL67Q0FCNGzdOjo6OBZgMyD9jxozRm2++KVdXV6OjAHfVtm1bDRkyRC1atNCBAwfUsWNH9erVS1FRUapWrZomTZpkdEQgz1BQA4ANuHDhgqKjo7VhwwatW7dOGRkZHJKIIqlhw4ZavXq1qlSpYnQUIMfi4uLUvn17Hp9hU3799VeFh4erd+/eCggIkCTt2bNHX331lQYOHKi0tDR9/PHHCg0N1bBhwwxOC+SNwMBArVq1ir83UKg1bNhQa9asUeXKlfXZZ5/p0KFDmjFjhvbt26d+/fpp69atRkcE8gx7UANAIbV+/XrL4Yjx8fFydnZWo0aNNGzYMA5JBAAAeWL27Nl6//331bx5c8uYn5+fKlWqpE8//VTLly9XyZIlNXnyZApqFBms04MtsLe3199//y1J+u9//6uwsDBJkrOzs65evWpgMiDvUVADQCE1evRoBQUFqXPnzgoKCpKfn5/RkQDgoda+fft7zt/+RyRgSw4ePJjltjSenp46ePCgpFvbgCQnJxd0NAB4qAUGBmrSpEkKDAzUn3/+qenTp0uSjh49yjkuKHIoqAGgkNq2bZvREQAAd/jrr7/UunVrVa5cOcv5M2fO6OjRowUbCnhA1apV09y5czVu3DjLYYipqamaO3euqlWrJklKSkqSm5ubkTEB4KEzatQojR07Vj///LNGjx6tihUrSrp1eOKdr3oBigIKagAoxNLT0/Xrr78qPj5eklSjRg2FhISoWLFiBicDgIdPzZo1FRAQoBdffDHL+djYWC1btqyAUwEPZtSoURowYIBatGhhebXWwYMHlZ6erjlz5kiSjh8/ftefewBA/vD09LQ8Dt9pxIgRVu9HRESoS5cuKlu2bEFFA/IcBTUAFFIJCQnq16+fkpKSVLVqVUm3/vioVKmSIiIi9MgjjxicEAAeLoGBgTpy5Mhd50uVKqXGjRsXYCLgwQUGBmrDhg1as2aN5RUAzz33nNq0aaPSpUtLkmXfUwBA4TN79mw9//zzFNSwaSYzpwMAQKHUt29fmc1mhYeHy8XFRZJ04cIFDR06VHZ2doqIiDA2IJAP5syZo65du/IHNgDko/bt22v+/PlydnbWzJkz1bt3b5UoUcLoWECBGT16tAYNGiRXV1ejowAPrGHDhlq9erWqVKlidBQg1+yMDgAAyFpMTIyGDh1qKaclqVy5choyZIhiYmKMCwbkwooVK/Sf//zH8v6UKVPUuHFjdenSRSdPnrSMv/rqq5TTKDLGjBmj8+fPGx0DyCQ+Pl43btyQJM2aNUvXr183OBGQNzZv3qzt27db3l+8eLHatWunwYMH69KlS5bxsWPHUk4DQCFCQQ0AhZSDg4OuXbuWafzatWuyt7c3IBGQe7Nnz5ajo6MkaefOnfrmm28sT8BMmjTJ4HRA/li9enWWj+OA0WrVqqXhw4dr5syZMpvN+uKLLzRz5sws/wNsydSpUy2PuwcOHNDkyZPVokULnThxQpMnTzY4HQDgbtiDGgAKqSeffFKjRo3ShAkTFBAQIEnavXu3xowZo5YtWxqcDsiZ06dPy9vbW5L066+/6plnnlHnzp0VGBio7t27G5wOyB/spIfCatKkSfrss8+0ceNGmUwmbdmyJcsDmE0mkwYOHGhAQiB3Tpw4oerVq0uS1q9fr6eeekrvvPOO9u3bp379+hmcDgBwNxTUAFBIjRw5UsOGDVPnzp1VvPith+v09HS1bNlS77//vsHpgJwpWbKkLl68KE9PT23dulUvv/yyJMnR0VEpKSnGhgOAh0y1atU0bdo0SZK/v7/mz58vNzc3g1MBD87e3l5///23JOm///2v5YBPZ2dnXb161cBkAIB7oaAGgELIbDbr6tWrmjZtmpKSkhQfHy9Jql69umUVKmBLHnvsMY0cOVK1atXS0aNH1aJFC0nSoUOH5OXlZXA6AHh4xcXFGR0ByDOBgYGaNGmSAgMD9eeff2r69OmSpKNHj6pSpUrGhgPySePGjS1b6QG2ioIaAAohs9msZ555RmvXrpWPjw+lNGze6NGjNX36dJ06dUozZsxQuXLlJEn79u1T69atDU4HAA+vOXPmyM3NTR07drQaX758uc6fP8+2CLApo0aN0tixY/Xzzz9r9OjRqlixoqRbhyc2b97c4HRAzqWnp+uXX36xWrDUqlUryytsJWnu3LlGxQPyjMnM5ngAUCi1bt1aEyZMUIMGDYyOAgDIhYYNG2r16tWqUqWK0VGAu2rZsqXCw8MVGBhoNb579269/fbb+u233wxKBuSfiIgIdenSRWXLljU6CnBXhw4d0oABA3T27FlVrVpV0q1XA5QrV06zZ8+Wr6+vwQmBvMMKagAopAYPHqwpU6ZozJgx/PGBIuHSpUtavny51QqQf/3rX3JxcTE2GJBPXnjhBZUqVcroGMA9JScnq0KFCpnGXV1dlZycbEAiIP/Nnj1bzz//PAU1CrWRI0eqRo0a+u677+Ts7Czp1t/T7733nkaNGqWlS5canBDIOxTUAFBIDRs2TDdu3FC7du1kb28vJycnq/no6GiDkgE5FxMTo/79+6tMmTKqW7euJGnRokX6/PPPNXv2bAUFBRmcEMiZy5cva8+ePTp37pz++YLE24dyjR071oBkQM54eHjojz/+yLTSf8eOHXJ3dzcoFZC/eCE5bEFsbKxVOS3dOvDz7bffzrQtE2DrKKgBoJAaMWKE0RGAPDNu3DiFhoZqzJgxKlasmKRbe+qNHTtW48aN05o1awxOCGTfb7/9piFDhuj69esqXbq0TCaTZc5kMlkKasAWdOrUSRMnTlRaWpqaNm0qSdq2bZumTp2qV155xeB0APDw8vHx0dmzZ1WzZk2r8XPnznFGEYoc9qAGAAD5LiAgQCtXrlS1atWsxg8fPqywsDDt2bPHoGRAzj377LN64okn9M4776hEiRJGxwEeiNlsVnh4uBYuXKjU1FRJkqOjo/r06aOBAwcanA7IH5wRAFuwadMmTZ06VQMHDrScS7Rr1y7NmjVLQ4YMUaNGjSzXli5d2qCUQN5gBTUAFFKbNm2SnZ1dphPHf//9d6Wnp6tFixYGJQNyrnbt2jp8+HCWBbW/v79BqYDcSUpKUo8ePSinUSSYTCYNHTpUr732muLj4+Xk5CQfHx85ODhYXXf69Gm5u7vLzs7OoKQA8HB59dVXJUlvvfWW5dVat9eY9u/f3/K+yWRSbGysMSGBPEJBDQCFVHh4uIYMGZJpPCMjQx9//DEFNWxKjx49NGHCBCUkJKh+/fqSpN27d2vx4sUaMmSI4uLiLNdSWKOwe/zxx/Xnn3+y8g5FSqlSpRQQEHDX+dDQUK1atYqfewAoIF9//bXREYACQ0ENAIVUQkKCqlevnmm8WrVqOnbsmAGJgNx75513JElTp07Ncs5kMrECBDajRYsWmjp1quLj4+Xr66vixa3/pA4JCTEoGZB/2BkSRUnjxo3l6OhodAzgnoKDg42OABQYCmoAKKTKlCmj48ePq3Llylbjx44d42XlsDkbNmwwOgKQZz744ANJ0qxZszLN8SQLABgrPT1dv/zyi+Lj4yVJ1atXV6tWrayeTJw7d65R8YAcSUlJ0YEDB3Tu3DllZGRYzfGEOIoSDkkEgEJq1KhR2rlzp2bNmqVHHnlE0q1V1W+88Ybq1aunCRMmGJwQAAA8LDhUDrbg0KFDGjBggM6ePauqVatKko4ePapy5cpp9uzZ8vX1NTghkH2bN2/WsGHDdOHChUxzPCGOooaCGgAKqStXrqhPnz7au3evKlasKOnWwVyNGjXSzJkzVbZsWYMTAjmzcuVKLV26VCdOnFBkZKS8vLw0f/58Va5cWa1atTI6HpArKSkpvEwcDwUKatiCzp07q1y5cvroo4/k7OwsSbp06ZLee+89XbhwQUuXLjU4IZB9zzzzjJo1a6bXX39d5cuXNzoOkK/Y4gMACqkyZcpo6dKl2rp1q+Li4uTk5CQ/Pz8FBQUZHQ3IsW+++UYzZsxQz549NXv2bMtLFMuWLasFCxZQUMOmpKena/bs2Vq6dKnOnTunn3/+WVWqVNH06dPl5eWlTp06GR0RyHMmk8noCMB9xcbG6rvvvrOU05Lk7Oyst99+Wx07djQwGZBzZ8+eVa9evSin8VCwMzoAAODuTCaTHn/8cbVp00Yvvvgi5TRs1qJFizR+/HgNGDBAdnb/78+PunXr6uDBgwYmA3Lu//7v/7RixQoNHTpU9vb2lnFfX18tX77cwGRA/uGFt7AFPj4+Onv2bKbxc+fOydvb24BEQO49++yzioqKMjoGUCBYQQ0ANiA0NFSrVq3iZbWwWSdOnFCtWrUyjTs4OOjGjRsGJAJyb9WqVfrwww/16KOPavTo0ZZxPz8/HT582MBkQP754Ycf5O7ubnQM4J4GDx6sCRMmaODAgWrQoIEkadeuXZo1a5aGDBmiq1evWq4tXbq0QSmB7Bk1apQGDRqkHTt2yNfX1+qgT0nq0aOHQcmAvEdBDQA2gFVLsHWVK1dWbGysvLy8rMa3bNmi6tWrG5QKyJ2kpCTL4bV3MpvNSktLMyARkHuvv/56ltt3mEwmOTg4yNvbW23atFG1atUMSAfkzKuvvipJeuuttyw/17f/ju7fv7/lfQ6Ygy1Yu3attm7dKgcHB0VHR1vNmUwmCmoUKRTUAAAg3/Xq1Uvjxo3TzZs3JUl79uzR2rVrFRERofHjxxucDsiZGjVqaPv27ZmecPnpp5+yfKUAUJiVKVNGv/76q8qWLas6depIkvbt26crV66oWbNm+uGHHzR37lzNnz9fjRo1MjgtcG9ff/210RGAPDN9+nS98cYb6tevn9UWeUBRREENADagf//+Voe9ALamU6dOcnR01PTp03Xjxg0NHjxY7u7uGjFihFq3bm10PCBHXnvtNb333ntKSkqS2WzW+vXrdeTIEa1cuVJz5swxOh6QI+XLl1ebNm00atQoSwGSkZGhCRMmqFSpUpo2bZpGjx6t8PBwLVmyxOC0wL0FBwcbHQHIM6mpqQoNDaWcxkPBZOZ14wBQ6N1+qM7qJbiArblx44auX78uNzc3o6MAubZ9+3bNmjVLcXFxun79umrXrq3XX39djz/+uNHRgBxp2rSplixZoqpVq1qNHzlyRF26dFFUVJQOHDigl156Sdu3bzcoJZB9KSkpOnDggM6dO6eMjAyruZCQEINSATk3ceJEubq6WranAYoyVlADQCG2bNkyLViwQEePHpV062Tynj17qlOnTsYGA3KoR48emjlzpsqWLasSJUqoRIkSkqSrV6/qtdde4yW5sDmNGzfWV199ZXQM4IGlp6fr8OHDmQrqw4cPW8o9R0dHniSHTdi8ebOGDRumCxcuZJpj32nYmoyMDM2bN0+///67/Pz8Mh2SOHz4cIOSAXmPghoACqlPP/1U8+fPV7du3axOIZ84caISExM1aNAgYwMCORAdHa3U1NRM4ykpKdqxY4cBiQAAktSuXTu9//77On78uOrWrStJ2rt3r2bPnq127dpJkmJiYlSjRg0jYwLZMn78eD333HN6/fXXVb58eaPjAA/kwIEDlrMtDh48aDXHk4YoatjiAwAKqaZNm2rkyJFq06aN1fjatWv14YcfKioqyqBkQPbFxcVJksLCwrRgwQKrvdQzMjK0ZcsWRUZG6rfffjMqIpAtQUFB2f7HYHR0dD6nAfJOenq6IiIitHjxYp09e1bSrX2pu3Xrpr59+6pYsWJKTEyUnZ2dKlWqZHBa4N4CAwO1cuVKPfLII0ZHAQDkACuoAaCQSktLs6xkulOdOnWUnp5uQCIg58LCwmQymWQymdSzZ89M805OTho5cqQByYCcGTFihNERgHxRrFgxDRgwQAMGDNDVq1clSaVLl7a6xtPT04hoQI49++yzioqKoqBGkZKQkKBjx44pKChITk5OMpvNrKBGkcMKagAopD788EMVL148095iH330kf7++2+NHj3aoGRA9p08eVJms1mtWrXSsmXL5Orqapmzt7eXm5ubihUrZmBCIP9ERESoS5cuKlu2rNFRAOChcOPGDQ0aNEiurq7y9fXNtGdvjx49DEoG5NyFCxf01ltvKSoqSiaTSevXr1eVKlU0fPhwOTs767333jM6IpBnWEENAIXY8uXLtXXrVtWvX1+StGfPHiUmJiosLEyTJk2yXMcBGSisvLy8JP2/rT6Ah8ns2bP1/PPPU1Cj0Pvpp5/0448/6tSpU5nOC1ixYoVBqYCcW7t2rbZu3SoHB4dM2y2ZTCYKatiUSZMmqXjx4vrPf/6j559/3jIeGhqqyZMnU1CjSKGgBoBC6uDBg6pdu7Yk6dixY5IkFxcXubi4WB2Swcu7YAtWrFihcuXK6cknn5QkTZkyRd9++61q1Kihjz/+2FJkA0UJL1SELfj66681bdo0dejQQRs2bFCHDh10/Phx/fnnn3rppZeMjgfkyPTp0/XGG2+oX79+srOzMzoO8EC2bt2qL774ItP+/z4+PkpMTDQoFZA/KKgBoJBauHCh0RGAPDN79myNGTNGkrRz504tXrxYI0aM0MaNGzVp0iTNnDnT2IAA8JD65ptv9OGHH6pNmzb6/vvv1bdvX1WpUkWffvqpLl26ZHQ8IEdSU1MVGhpKOY0i4fr163Jycso0fvHiRTk4OBiQCMg/PGoDQCGUmpqq2rVrW62UBmzZ6dOn5e3tLUn69ddf9eyzz6pz584aPHiwtm/fbnA6AHh4nTp1Sg0bNpR06+Daa9euSZLatWundevWGRkNyLGwsDD98MMPRscA8kTjxo21cuVKq7GMjAzNmzdPTZo0MSYUkE9YQQ0AhZC9vb08PDyUkZFhdBQgT5QsWVIXL16Up6entm7dqpdfflmS5OjoqJSUFGPDAcBDrHz58rp06ZK8vLzk4eGhXbt2yd/fXydOnGCbGtic2+Xd77//Lj8/v0yHJHJuC2zJ0KFD9fLLL2vv3r1KTU3V1KlT9ddff+nSpUtasmSJ0fGAPEVBDQCFVP/+/fXJJ59oypQpcnFxMToO8EAee+wxjRw5UrVq1dLRo0fVokULSdKhQ4fYfxoADNS0aVP99ttvql27tv71r39p0qRJ+vnnn7V37149/fTTRscDcuTAgQOqVauWJGV6JSLntsDW+Pr66ueff9aiRYtUqlQpXb9+XU8//bReeuklubu7Gx0PyFMmM0+LA0ChFBYWpoSEBKWlpcnT01MlS5a0ml+xYoVByYCcu3z5sqZPn65Tp06pa9eueuKJJyRJM2bMkL29vQYMGGBwQiDv9e3bVxMmTOAfkSjUMjIylJGRYVlpum7dOu3cuVPe3t7q3Lkz+5wCgEESExPl4eGR5ZMriYmJ8vT0NCAVkD8oqAGgkLrfoXEDBw4soCRAwRkzZozefPNNubq6Gh0FuKurV6/edc7BwYFCDzblbgWI2WzWqVOnKEBgkxISEnTs2DEFBQXJyclJZrOZFdSwObVq1dLvv/8uNzc3q/ELFy7oscceU2xsrEHJgLzHFh8AUEhRQONhtHr1avXu3ZuCGoVa48aN71l0VKpUSe3bt9fAgQNlZ8eZ5CjcQkJCsixALl68qJCQEAoQ2JQLFy7orbfeUlRUlEwmk9avX68qVapoxIgRcnZ21nvvvWd0RCDb7vbEyvXr1+Xo6GhAIiD/UFADAIBCgxd2wRZMnjxZ06ZNU/v27RUQECBJ2rNnj1auXKkBAwbo/Pnz+vLLL+Xg4KD+/fsbnBa4NwoQFCWTJk1S8eLF9Z///EfPP/+8ZTw0NFSTJ0+moIZNmDRpkqRb+6ZPnz5dJUqUsMylp6drz5498vf3NyoekC8oqAGgEAkODtZPP/0kV1dXBQUF3XOFXnR0dAEmAwDctmLFCg0bNkyhoaGWsZYtW8rX11eRkZFasGCBPDw8NHv2bApqFFoUICiKtm7dqi+++EKVKlWyGvfx8VFiYqJBqYCc2b9/v6RbTyAePHhQ9vb2ljkHBwf5+/vrlVdeMSoekC8oqAGgEBk+fLhKly4tSRoxYoTBaQAAWdm5c6fGjh2babx27dratWuXJKlRo0Y6depUAScDso8CBEXR9evX5eTklGn84sWLnA8Am7Fw4UJJt/5t+P7771v+fXg3p0+flru7O9uKwaZRUANAIdK+ffss3wYAFB4eHh5avny5hgwZYjW+fPlyy6q9ixcvqmzZskbEA7KFAgRFUePGjbVy5Uq99dZblrGMjAzNmzdPTZo0MS4YkAu3X+lyP6GhoVq1apWqVKmSz4mA/ENBDQCFWEZGhhISEnTu3LlMe/MGBQUZlAoAHm7vvvuuBg0apM2bN6tevXqSpL179+rw4cOaMWOGJOnPP/+02gIEKKwoQFCUDB06VC+//LL27t2r1NRUTZ06VX/99ZcuXbqkJUuWGB0PyBec4YKigIIaAAqpXbt2afDgwUpMTMz0R4fJZFJsbKxByYD888ILL6hUqVJGxwDuKSQkRD/99JMiIyN15MgRSdITTzyhWbNmqXLlypKkF1980ciIQJ6jAIEt8PX11c8//6xFixapVKlSun79up5++mm99NJLcnd3NzoeAOAuTGb+0gCAQqldu3by8fHRm2++qQoVKmQ6MLFMmTIGJQNyLi4uLstxk8kkR0dHeXp6sjckABRiDRs21OrVq1lBjUItMTFRHh4eWR40npiYKE9PTwNSAfmLx2cUBaygBoBCKiEhQTNmzJC3t7fRUYAHFhYWluU/Fm8rXry4QkNDNW7cODk6OhZgMiD3bty4ocTERKWmplqN+/v7G5QIAB5uISEh+v333+Xm5mY1fuHCBYWEhPAKRAAopCioAaCQCggIUEJCAgU1ioSZM2cqPDxcvXv3VkBAgCRpz549+uqrrzRw4EClpaXp448/1vTp0zVs2DCD0wL3dv78eQ0fPlybN2/Ocp4CBACMYTabs3xC/Pr16zwBjiLrXotAAFtBQQ0Ahcid2yB0795dH330kc6ePStfX18VL279kM0KPdiS2bNn6/3331fz5s0tY35+fqpUqZI+/fRTLV++XCVLltTkyZMpqFHoTZgwQZcvX9a3336rHj16aObMmTp79qz+7//+T++9957R8YB8QQGCwuz2YZ8mk0nTp09XiRIlLHPp6enas2cPfzujyGLnXhQFFNQAUIjc3gbhzj8yRowYYXn79hyHJMLWHDx4MMt9Hz09PXXw4EFJt550SU5OLuhoQI5FRUXp888/V7169WQymeTp6almzZqpdOnSmjNnjp588kmjIwJ5jgIEhdn+/fsl3fo5PXjwoOzt7S1zDg4O8vf31yuvvGJUPCBf/fDDDxwCCptHQQ0AhciGDRuMjgDki2rVqmnu3LkaN26c5TDE1NRUzZ07V9WqVZMkJSUlZdozEiiMrl+/LldXV0mSs7Ozzp8/r6pVq8rX19dSkgBFDQUICrOFCxdKkoYPH673339fpUuXvuf1p0+flru7u+zs7AoiHpCnjh07ppEjR+rrr7+WJHl4eBicCHhwFNQAUIh4eXlZ3p4zZ47c3NzUsWNHq2uWL1+u8+fPq1+/fgUdD8i1UaNGacCAAWrRooX8/Pwk3VpVnZ6erjlz5kiSjh8/rhdffNHImEC2VK1aVUeOHFHlypXl5+enyMhIVa5cWUuXLlWFChWMjgfkCQoQ2KLbW33cT2hoqFatWqUqVarkcyIg712/fl0xMTFGxwDyFAU1ABRSkZGRCg8PzzRes2ZNvf322xTUsCmBgYHasGGD1qxZo6NHj0qSnnvuObVp08ayyiksLMy4gEAO9OjRw7IdzcCBA9WnTx+tWbNG9vb2mjx5ssHpgLxBAYKijC1rUJjdfmLwbpKSkgooCVBwKKgBoJBKTk7OciWeq6sr+/TCJrRv317z58+Xs7OzZs6cqd69e6tr165GxwIeWLt27Sxv161bVxs3btThw4fl4eFh2foDKOwoQACgcJo4caIqVKhgtZf6nVJTUws4EZD/KKgBoJDy8PDQH3/8kemlhzt27GAPSNiE+Ph43bhxQ87Ozpo1a5a6du2qEiVKGB0LeGC3n3C5/fNcokQJ1alTR3///bdmzpypgQMHGpwQuD8KEAAonDw9PTVkyBCFhoZmOR8bG6sOHToUcCogf1FQA0Ah1alTJ02cOFFpaWlq2rSpJGnbtm2aOnUqp5DDJtSqVUvDhw9Xo0aNZDab9cUXX6hkyZJZXkuhB1tytydcbty4oVmzZvHzDJtAAQIAhVPdunW1b9++uz4+m0wmtqlBkUNBDQCFVJ8+fXTx4kWNHTvWsorJ0dFRffr00auvvmpwOuD+Jk2apM8++0wbN26UyWTSli1bVKxYsUzXmUwmCj3YFLPZLJPJlGk8Li5Ozs7OBiQCco4CBA+zrB7DgcLizTff1I0bN+46X716dW3YsKEAEwH5z2Tmrw4AKNSuXbum+Ph4OTk5ycfHRw4ODkZHAnLM399fW7dulZubm9FRgFwLCgqSyWTSlStXVLp0aauCIz09XdevX1eXLl00evRoA1MC2fPXX3/pxo0bqlevXpbzqampOnPmjLy8vAo4GZD/GjZsqNWrV2faSg8AYAwKagAAACAbVqxYIbPZrBEjRmjEiBEqU6aMZc7e3l5eXl5q2LChgQkBANlx6tQpubu7Z/nKLqCw6NGjh2bOnKmyZctajV+9elWvvfbafQ+7BWwJW3wAAIB8N2fOHLm5ualjx45W48uXL9f58+fVr18/g5IB2de+fXtJUuXKlRUYGKjixe/9p3RERIS6dOmS6R+WQGFCAYKHwbFjxzRy5EjLz7OHh4fBiYD7i46OzvLA2pSUFO3YscOARED+sTM6AAAAKPoiIyNVrVq1TOM1a9bU0qVLDUgE5F5wcPB9y2lJmj17ti5dulQAiYDcowDBw+D69euKiYkxOgaQLXFxcYqLi5N0azum2+/HxcVp//79Wr58uSpWrGhwSiBvsYIaAADku+TkZFWoUCHTuKurq5KTkw1IBOQ/dtJDYXa7/JBuFSB3PhZnZGRoy5YtFCCwGfdb6Z+UlFRASYAHFxYWJpPJJJPJpJ49e2aad3Jy0siRIw1IBuQfCmoAAJDvPDw89Mcff2Q6jGjHjh1yd3c3KBUAPLwoQFCUTJw4URUqVJC9vX2W81m9SgAorDZs2CCz2axWrVpp2bJlcnV1tczZ29vLzc2N/dNR5FBQAwCAfNepUydNnDhRaWlpatq0qSRp27Ztmjp1ql555RWD0wHAw4cCBEWJp6enhgwZotDQ0CznY2Nj1aFDhwJOBeSOl5eXJOtXugBFHQU1AADId3369NHFixc1duxYyyomR0dH9enTR6+++qrB6QDg4UMBgqKkbt262rdv310LapPJxLZLsGmBgYFatWpVplcjAkUFBTUAAMh3JpNJQ4cO1Wuvvab4+Hg5OTnJx8dHDg4OVtedPn1a7u7usrPjHGcAKGgUILBVb775pm7cuHHX+erVq2vDhg0FmAjIWzzBgqKOghoAABSYUqVKKSAg4K7zoaGhlCMoMho3bixHR0ejYwDZRgECW1WjRo17ztvb21teNQAAKHxYngQAAAoNyhHYgu+//z7L8bS0NH388ceW9+fOncshoABQgHr06KHLly9nGr969ap69OhhQCIgb7zwwgsqVaqU0TGAfENBDQAAAOTA+PHj9eabb+rSpUuWscOHD+vf//631q1bZ2Ay4MFQgMDWRUdHW866uFNKSop27NhhQCIg91JSUixvjx071uowW6CoYYsPAAAAIAdWrlypoUOHqm3btpo0aZKOHj2qqVOnKiQkRGPGjDE6HpAjKSkplq1oxo4da3AaIHfuPOzzr7/+UnJysuX9jIwMbdmyRRUrVjQiGpBrjRs3VkBAgIKCgtSkSRM1bNhQTk5ORscC8oXJzGtpAQBAIdGwYUOtXr2aPahR6GVkZGjixIlavHixihUrpsmTJ6tNmzZGxwJyrF69ehQgsHn+/v4ymUySst4uzMnJSSNHjlTHjh0LOhqQa9u3b9f27dsVHR2tnTt3Ki0tTXXr1lVwcLCCg4PVrFkzoyMCeYaCGgAAFBqBgYEckgib8Ntvv+n999+Xj4+Pjh49Kj8/P3300Ues0IPNoQBBUXDy5EmZzWa1atVKy5Yts9oKwd7eXm5ubipWrJiBCYEHk5aWpj///FORkZFas2aNMjIyFBsba3QsIM9QUAMAgEKDFdSwBaNGjdKKFSv09ttvq1evXjp79qxGjBihPXv2aPTo0QoNDTU6IpArFCAAULgcOXJE0dHRio6OVlRUlFJTU9W4cWMFBwerZ8+eRscD8gwFNQAAKDROnTold3d3VjmhUGvTpo3Cw8Pl7+9vNb548WKFh4dr586dBiUDcocCBEURr8qCrWvevLlSUlIsr2gJDg6Wn5+fZTsboCjhkEQAAGCYY8eOaeTIkfr6668lSR4eHgYnAu7v+++/l4ODQ6bxl156SY8++qgBiYDc+2cB0rdvXwoQFAmsxYOtc3V11eHDh3X27FnLf97e3ipRooTR0YA8R0ENAAAMc/36dcXExBgdA8iRrMrp26pVq1aASYAHRwECAIXTqlWrdPnyZcXExCgmJkaffPKJ4uPjVatWLTVp0kRvv/220RGBPMMWHwAAIN/cXhl9N0lJSfryyy/Z4xQ256efftKPP/6oU6dOKTU11WpuxYoVBqUCcufOAiQ6OpoCBEXC6NGjNWjQIKsDEwFbdeHCBUVHR2vDhg1at24dZwSgyKGgBgAA+cbf318VKlSQvb19lvOpqak6e/Ysf2DDpnz99deaNm2aOnTooMjISHXo0EHHjx/Xn3/+qZdeeolCDzaLAgS2LiUlRY6OjkbHAPLE+vXrLWcDxMfHy9nZWY0aNbJsyfTPszAAW0ZBDQAA8k3Lli01ZMgQhYaGZjkfGxurDh06UIDApjz33HMaOHCg2rRpo4YNG2r16tWqUqWKPv30U126dEmjRo0yOiKQbRQgKErq1aungIAABQUFqUmTJmrYsKGcnJyMjgXkyqOPPqqgoCAFBwcrKChIfn5+RkcC8g17UAMAgHxTt25d7du3764Ftclk4hAj2JxTp06pYcOGkiQnJyddu3ZNktSuXTt17tyZgho2ZfTo0QoKClLnzp0pQGDzvvrqK23fvl3R0dFasGCB0tLSVLduXcsTLs2aNTM6IpBt27ZtMzoCUGAoqAEAQL558803dePGjbvOV69eXRs2bCjARMCDK1++vC5duiQvLy95eHho165d8vf314kTJ3jCBTaHAgRFSePGjdW4cWP1799faWlp+vPPPxUZGal58+YpIiKCV2zB5qSnp+vXX39VfHy8JKlGjRoKCQlRsWLFDE4G5C0KagAAkG9q1Khxz3l7e3t5eXkVUBogbzRt2lS//fabateurX/961+aNGmSfv75Z+3du1dPP/200fGAHKMAQVFy5MgRRUdHW7auSU1N1ZNPPqng4GCjowE5kpCQoH79+ikpKUlVq1aVJEVERKhSpUqKiIjQI488YnBCIO+wBzUAAMh3PXr00MyZM1W2bFmr8atXr+q1117T119/bVAyIOcyMjKUkZGh4sVvrfVYt26ddu7cKW9vb3Xu3FkODg4GJwSyL6sC5MiRIxQgsEnNmzdXSkqKZUuP4OBg+fn5yWQyGR0NyLG+ffvKbDYrPDxcLi4ukm4dZjt06FDZ2dkpIiLC2IBAHqKgBgAA+c7f319bt26Vm5ub1fi5c+f0xBNPaN++fQYlA4CHGwUIipJ27drp8OHDqlOnjqWgbtSokUqUKGF0NCDHGjRooMjIyExnA8TFxalr167auXOnQcmAvMcWHwAAIN/ExcVZ3v7rr7+UnJxseT8jI0NbtmxRxYoVjYgGPJCUlBQdOHBA586dU0ZGhtVcSEiIQamAnIuJiVFkZKSlnJakcuXKaciQIeratatxwYBcWLVqlS5fvqyYmBjFxMTok08+UXx8vGrVqqUmTZro7bffNjoikG0ODg6Wg5jvdO3aNdnb2xuQCMg/FNQAACDfhIWFyWQyyWQyqWfPnpnmnZycNHLkSAOSAbm3efNmDRs2TBcuXMg0ZzKZOIQLNoUCBEVN2bJlFRISosDAQDVs2FAbNmzQunXrtHv3bgpq2JQnn3xSo0aN0oQJExQQECBJ2r17t8aMGaOWLVsanA7IW2zxAQAA8s3JkydlNpvVqlUrLVu2TK6urpY5e3t7ubm5cQgXbM4zzzyjZs2a6fXXX1f58uWNjgM8kHfffVf79+/PVIB88MEHqlOnjiZPnmxwQiD71q9fbzkcMT4+Xs7OzmrUqJFluw9/f3+jIwLZdvnyZQ0bNkwbN260nHuRnp6uli1bavLkySpTpozBCYG8Q0ENAAAA5EBgYKBWrlzJ4XEoEihAUJQ8+uijCgoKUnBwsIKCgjLt3QvYCrPZrFOnTsnV1VVJSUmKj4+XJFWvXl3e3t4GpwPyHgU1AAAoUIGBgVq1apWqVKlidBQgV4YPH67AwEB16tTJ6CjAA6EAAYDCKSMjQwEBAVq7dq18fHyMjgPkO/agBgAABYrnxmHrRo0apUGDBmnHjh3y9fW1rDq9rUePHgYlA3LGbDbrmWeesRQglNIoCtLT0/Xrr79annCpUaOGQkJC2FIMNsXOzk7e3t66ePGi0VGAAkFBDQAAAOTA2rVrtXXrVjk4OCg6OtpqzmQyUVDDZlCAoKhJSEhQv379lJSUpKpVq0qSIiIiVKlSJUVERLA1E2zK4MGDNWXKFI0ZM0a+vr5GxwHyFVt8AACAAjV69GgNGjTI6sBEwJY0a9ZM3bt3V79+/WRnZ2d0HOCB/Pbbb5o3bx4FCIqEvn37ymw2Kzw8XC4uLpKkCxcuaOjQobKzs1NERISxAYEcCAoK0o0bN5Seni57e3s5OTlZzf/zSXLAllFQAwCAfJeSkiJHR0ejYwB5Ijg4WMuXL2clHooEChAUJQ0aNFBkZGSmwxHj4uLUtWtX7dy506BkQM6tWLHinvPt27cvoCRA/mOLDwAAkO8aN26sgIAABQUFqUmTJmrYsGGmEgSwFWFhYfrhhx/Uv39/o6MAD2zEiBFGRwDyjIODg65du5Zp/Nq1a7K3tzcgEZB7FNB4mLCCGgAA5Lvt27dr+/btio6O1s6dO5WWlqa6desqODhYwcHBatasmdERgWwbP368Vq5cKX9/f/n5+WU6JHH48OEGJQOAh9u7776r/fv3a8KECQoICJAk7d69Wx988IHq1KmjyZMnG5wQyL5NmzbJzs5OzZs3txr//ffflZ6erhYtWhiUDMh7FNQAAKBApaWl6c8//1RkZKTWrFmjjIwMxcbGGh0LyLbu3bvfdc5kMunrr78uwDTAg6EAQVFy+fJlDRs2TBs3brQ8eZienq6WLVtq8uTJKlOmjMEJgexr27athgwZkulxePPmzQoPD9fq1asNSgbkPbb4AAAABeLIkSOKjo5WdHS0oqKilJqaqieffFLBwcFGRwNyZOHChdm67vTp03J3d+cgRRRq4eHhGjJkSKbxjIwMffzxxxTUsBlms1lXr17VtGnTlJSUpPj4eElS9erV5e3tbXA6IOcSEhJUvXr1TOPVqlXTsWPHDEgE5B8KagAAkO+aN2+ulJQUy5Yeffv2lZ+fn0wmk9HRgHwTGhqqVatWqUqVKkZHAe6KAgRFhdls1jPPPKO1a9fKx8eHUho2r0yZMjp+/LgqV65sNX7s2DGVKFHCoFRA/mA5BwAAyHeurq66ceOGzp49a/nv77//NjoWkK/YSQ+24HYB8k8UILA1dnZ28vb21sWLF42OAuSJkJAQTZw40erJwoSEBE2ePFktW7Y0MBmQ9yioAQBAvlu1apW2bt2qvn376ubNm/rkk0/UtGlTdenSRdOmTTM6HgA8tChAUJQMHjxYU6ZM0cGDB42OAjywoUOHqmTJknr++efVsmVLtWzZUqGhoXJxcdGwYcOMjgfkKQ5JBAAABerChQuKjo7Whg0btG7dOg5JRJHVsGFDrV69mi0+UKhduXJFffr00d69e1WxYkVJUlJSkho1aqSZM2eqbNmyBicEsi8oKEg3btxQenq67O3t5eTkZDUfHR1tUDIgd8xms7Zu3aq4uDg5OTnJz89PQUFBRscC8hwFNQAAyHfr16+3HI4YHx8vZ2dnNWrUyLIntb+/v9ERgTxHQQ1bQQGComLFihX3nG/fvn0BJQHyFgcvo6ijoAYAAPnu0UcfVVBQkIKDgxUUFCQ/Pz+jIwH5LjAwkEMSYVMoQACgcOJvChR1xY0OAAAAir5t27YZHQEocKwDga0JDQ2lAIFN27Rpk+zs7NS8eXOr8d9//13p6elq0aKFQcmAB8PfFCjqeGocAAAUiPT0dP3888/6/PPP9fnnn2v9+vVKT083OhaQb3744Qd5enoaHQPINgoQ2Lrw8HBlZGRkGs/IyNDHH39sQCIAQHawghoAAOS7hIQE9evXT0lJSapataokKSIiQpUqVVJERIQeeeQRgxMCD+7YsWMaOXKkvv76a0mSh4eHwYkA4OGSkJCg6tWrZxqvVq2ajh07ZkAiIG/0799fzs7ORscA8g0rqAEAQL4bP368qlSpov/85z9asWKFVqxYoY0bN6py5coaP3680fGAPHH9+nXFxMQYHQPINQoQ2LoyZcro+PHjmcaPHTumEiVKGJAIyBv9+vVTmTJljI4B5BtWUAMAgHwXExOjyMhIubi4WMbKlSunIUOGqGvXrsYFA3Lg9srou0lKSiqgJED+6Nevn9ERgAcSEhKiiRMnatasWZZXZyUkJGjy5Mlq2bKlwemAnFu2bJkWLFigo0ePSpJ8fHzUs2dPderUydhgQB6joAYAAPnOwcFB165dyzR+7do12dvbG5AIyLmJEyeqQoUKd/2ZTU1NLeBEQN6gAEFRMXToUPXp00fPP/+8KlasKOnWk4eNGjXSsGHDDE4H5Mynn36q+fPnq1u3bmrQoIEkadeuXZo4caISExM1aNAgYwMCechk5iQMAACQz959913t379fEyZMUEBAgCRp9+7d+uCDD1SnTh1NnjzZ4ITA/bVs2VJDhgxRaGholvOxsbHq0KGDYmNjCzgZkHt3K0AWLVqkl19+mQIENsdsNmvr1q2Ki4uTk5OT/Pz8FBQUZHQsIMeaNm2qkSNHqk2bNlbja9eu1YcffqioqCiDkgF5jxXUAAAg340cOVLDhg1T586dVbz4rT8/0tPT1bJlS73//vsGpwOyp27dutq3b99dC2qTySTWfsDWLFmyRB9++KFVARISEiI/Pz99+OGHFNSwOSaTSY8//rhq1Kghd3d32dlx9BZsU1pamurWrZtpvE6dOkpPTzcgEZB/KKgBAEC+MpvNunr1qqZNm6akpCTFx8dLkqpXry5vb2+D0wHZ9+abb+rGjRt3na9evbo2bNhQgImAB0cBgqIqNDRUq1atUpUqVYyOAuRKu3bttGTJEg0fPtxq/Ntvv1Xbtm0NSgXkDwpqAACQr8xms5555hmtXbtWPj4+lNKwWTVq1LjnvL29vby8vAooDZA3KEBQVPGKFhQFy5cv19atW1W/fn1J0p49e5SYmKiwsDBNmjTJct0/H8MBW0NBDQAA8pWdnZ28vb118eJFo6MAeaJHjx6aOXOmypYtazV+9epVvfbaa/r6668NSgbkDgUIABQ+Bw8eVO3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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", " chirp-crow-t1 (12 comparisons)\n" ] }, { "data": { "image/png": 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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": "code", "execution_count": 62, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:09.416045Z", "iopub.status.busy": "2025-09-24T12:35:09.415778Z", "iopub.status.idle": "2025-09-24T12:35:11.395208Z", "shell.execute_reply": "2025-09-24T12:35:11.394715Z", "shell.execute_reply.started": "2025-09-24T12:35:09.416030Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "upsample\n", "len pos models: 28335\n", "differing counts: 11774\n", "chirp-ahi-up-3_win_over_chirp-ahi-up-3, win ratio 1.000, (1.000, 1.000), counts 3116, total 3116.\n", "chirp-bass-up-3_win_over_chirp-bass-up-3, win ratio 1.000, (1.000, 1.000), counts 881, total 881.\n", "chirp-carp-up-1_noise_l_5_win_over_chirp-carp-up-1, win ratio 0.503, (0.488, 0.517), counts 2293, total 4561.\n", "chirp-carp-up-1_step_8_win_over_chirp-carp-up-1, win ratio 0.492, (0.478, 0.507), counts 2347, total 4767.\n", "chirp-carp-up-1_variation_1_win_over_chirp-carp-up-1, win ratio 0.610, (0.560, 0.660), counts 222, total 364.\n", "chirp-carp-up-1_variation_2_win_over_chirp-carp-up-1, win ratio 0.719, (0.687, 0.752), counts 528, total 734.\n", "chirp-carp-up-1_variation_3_win_over_chirp-carp-up-1, win ratio 0.626, (0.588, 0.665), counts 377, total 602.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1, win ratio 1.000, (1.000, 1.000), counts 12368, total 12368.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1_noise_l_5, win ratio 0.497, (0.483, 0.512), counts 2268, total 4561.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1_step_8, win ratio 0.508, (0.493, 0.522), counts 2420, total 4767.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1_variation_1, win ratio 0.390, (0.340, 0.440), counts 142, total 364.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1_variation_2, win ratio 0.281, (0.248, 0.313), counts 206, total 734.\n", "chirp-carp-up-1_win_over_chirp-carp-up-1_variation_3, win ratio 0.374, (0.335, 0.412), counts 225, total 602.\n", "chirp-carp-up-1_win_over_chirp-carp-up-c-2, win ratio 0.689, (0.656, 0.722), counts 514, total 746.\n", "chirp-carp-up-c-2_win_over_chirp-carp-up-1, win ratio 0.311, (0.278, 0.344), counts 232, total 746.\n", "chirp-v4-up-u-d-2-5_win_over_chirp-v4-up-u-d-2-5, win ratio 1.000, (1.000, 1.000), counts 196, total 196.\n", "tournament players: ['chirp-carp-up-1', 'chirp-carp-up-1_noise_l_5', 'chirp-carp-up-1_step_8', 'chirp-carp-up-1_variation_1', 'chirp-carp-up-1_variation_2', 'chirp-carp-up-1_variation_3', 'chirp-carp-up-c-2']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 798.16it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-carp-up-1: 973.4, (964, 982)\n", "chirp-carp-up-1_noise_l_5: 975.3, (962, 987)\n", "chirp-carp-up-1_step_8: 968.2, (955, 981)\n", "chirp-carp-up-1_variation_1: 1049.2, (1020, 1084)\n", "chirp-carp-up-1_variation_2: 1134.0, (1112, 1163)\n", "chirp-carp-up-1_variation_3: 1061.7, (1035, 1087)\n", "chirp-carp-up-c-2: 838.3, (810, 858)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", " chirp-carp-up-1 (6 comparisons)\n" ] }, { "data": { "image/png": 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X2pb4tzk6OtKgQQOOHz/Ozp07E5w09+/fT1RUFPb29jRq1AhPT89ktxcbG8uQIUPU9WrVqkWvXr0oXLgwL1684M8//+Tw4cPqSXHHjh16iUhUVBRfffUVISEh2NjY0KNHD2rXro2joyPR0dH4+Pjg6enJoUOH9PY7Y8YMwsPDGThwIC9evEgwSBNI9RRHunNNrly5qFWrVqqem5jjx48zduxYFEUhV65cDBgwgLp162JhYYGnpydLly7l1atXzJs3Dzs7u2Sn/Tt58iRXr16lWrVq9O7dm+LFi/Pq1SvWrFmjXu1aunQp9vb2rF27lkaNGtG1a1dcXFx4/vw5y5Yt48qVK5w6dYrNmzfTo0ePJPd169Yt9uzZQ7FixRgwYACurq6Ehoby559/smvXLh49esTs2bNp2bIlP/74I1WrVqV3796UKFGCV69esXbtWk6cOMGNGzdYvHgxo0aNSrAPLy8vhgwZQnR0NJaWlvTq1YumTZuSM2dOvLy8WLZsGT4+Pqxbt46cOXMyevToJOM19Pk6s32GIC730X0WANq2bYuHhweOjo48evSIVatWsW3bNu7evZtsLBl9fl+0aJH6OWvSpAnt27enYMGCWFtbExAQgJeX1/uN0VBSKSQkRClfvrzi6uqqDBgwIMHyli1bKq6ursrWrVvVstq1ayuurq7K0aNH9dY9efKk4urqqri6uipLlixJsK0FCxaoyxPTpEkTdXnHjh2V4ODgBOvs3LlTXWfVqlWpPNo43t7e6ja+/fbbJNcbPHiwut6OHTuS3FZUVFSS2/D19VUaNmyouLq6KqNGjUp0nW+//VZxdXVVmjRp8s7YP/74Y8XV1VXx8PBQAgICEl3nxIkTipubm+Lq6qps2rTpndtMTO/evZN9rZLSo0cP9XnPnj3TWzZv3jzF1dVVqVmzpnLt2rVEn+/j46PUr19fcXV1Vb7++usEy9/1HtLF3bt373fG+vDhw2SXnzlzRq3HzZs3J1jes2dPxdXVVenatasSHR2d5HZevXr1zliSc+jQIfWYz549q7dszpw5iqurq1KxYkXl9evXSW5j2LBh6jYOHTqUYHlYWJjSpUsXdZ2k6jetdaYo/33OE/vsnTt3Ti+GX3/9NcE6Wq1WGTBggOLq6qqUL18+wedgy5Yt6vNv376dZKzh4eFKeHh4gnLdcxcsWJDssaZE/O8a3fb27t2ruLq6KpUrV07wHde9e3fF1dVVmTx5sqIo+vXx559/Jtj+H3/8oS4fM2aMotVqE6yj+9y5uroqP/74o96yv//+W1329vd5fNHR0Yl+Hyf3WqbG8+fP1Ti6d++epm0piqJERUUpDRo0UFxdXZWqVasqN2/eTLBO/O+aKlWqJPp9Gv+9OGLECCUmJkZveUxMjNKtWzfF1dVVqVatmlKpUiVl+vTpCbYTFham1lX79u0TjTn++e/jjz9WwsLCEqwzYsQIxdXVVSlXrpxSq1atd8ZUq1atRL+bOnfurG7n1KlTCZa/fv1aadu2reLq6qq4ubkpd+7cSTZeQ52vM+NnSFEUZdasWcnmPlFRUep3lu6ft7d3gvXS4/ye3DmwcePG6ns5Oak9Z6X6zkU2NjbqJXFPT09iY2PVZW+PUNfRtXq+3VybXP/O1JoxY0ai/VPat29P/vz5E91/enjz5g2enp4MGTJEzfyrVauW5GWCwoULJ/uLo0CBAgwcOBCIm0ZGiXdJJLUuXbqk/iqbNWtWkr8eGzVqpPZ5Susl3tSK3+cuKChIfRwaGsq6desAGDlypNpB/G0uLi4MGzYMgAMHDuhdFk5vxYsXT3Z5vXr11Mvab7eOQVzLGsS9P5Lrb5NcP8SU0F1mL1CgALVr19ZbpruUFBUVpY7ifJufn5/6Xm7VqhXNmzdPsE7OnDmZNm3aO2NJa52lRoUKFRKdMkWj0dC/f38grgX27RYN3euiuxFEUnLkyEGOHDnSFOP7aNasGXZ2dkRERHDgwAG13NvbW73Ul9JLhLrPlIODAxMmTEh0FpERI0ZQsmRJALZs2aJ32VlXV5D8YFALC4sMnU7u1atX6mNHR8c0b+/QoUNq69PQoUMT7fbl4uLCmDFjAAgPD0/2uzJnzpxMnTo1wVU8c3NzunXrBsR9xzk4OCTaOpgzZ048PDyAuL7TyV0F0Wg0TJ8+PdEWY12rbGxsLJGRke+M6fXr19y7d09v+dWrV9UR4V27dqVBgwYJ9pMnTx6mTp0KxHV5Wb9+fZLxguHP15npMxQVFcWff/4JxPUJTmx6O0tLS6ZPn55srmCI87vu8/6u/Cy156z3umWm7gsnNDQULy8vtVzXj9PJyUnvhKNLQt9+I+n6d1pbW1OpUqX3CQWIG9Tj5uaW6DKNRkP58uWBuDdZWm3fvl2dMLps2bK4u7vTvXt3jh07hqWlJZ06dWLFihUpbs4OCQnB29ubu3fvcufOHe7cuaN+gYSEhKTpNlm6E3mJEiXeectI3Wt6/fp1YmJi3nufqRW/g31oaKj6+OLFi+qXbXIDAeC/2KOjozN88v74AgMDefTokfq63blzR/3wJzY5vq5v4bFjxwgMDMyQmF6/fq32V2rXrl2CL8UyZcqoJ9WkRnmeP39e/UGZ3Jexm5tbkp+7pKS2zlKjffv2SU7HVqFCBfXx298DutclKCiIw4cPpymGjKAbGAb6r5nucfHixVPUv9nPz0/tDtSmTZskE0MLCwv1bi1BQUF6n6n4/WN1J09jiP9dkR53ITp79iwQd75I7i57rVu3VmeH0D0nMfXq1UvyZBz/M9OiRYskzxXx10vuPFC2bNkk+0fH30ZKY3p7X/FnaEmubmrUqKHGkdysLoY8X+tkps/QjRs31EaWjh07JvmdVaBAAerXr59kLIY4v+s+7/v27dPrj5tW7zXMqUaNGqxcuRKISyZ1rVG6xDJ+ayf8ly3fuHGDiIgIcuTIQVRUFFevXgXi+vq9a/RXcnS/LJKi62cV/8sqIxQrVox+/fq985f+06dPWblyJceOHUvQIfhtr169okiRIu8Vz/Xr14G40bopvVd5dHQ0QUFB6dKKkBLxX5P49aaLHUj0F3ZSXr58mT6BJeHy5cusXbuWs2fP6t2d623xW2R0PDw8uHjxIo8fP6Zly5a0aNGC+vXrU7NmzXS7jeXevXvVAQYdOnRIdJ0OHTrg5eWFp6cnT548Uac804nfryiplub4y9+VMKalzlIjue+B+Cfct78HmjZtSu7cuXnz5g3Dhw9XZxaoWbMm5cqVe+++5+nJw8ODrVu3cuHCBXx9fSlYsKA6iCqp1/lt8V/Xd82aEL/v7t27d9W71tWoUYMiRYrg7e3NjBkz2L17Ny1atKBmzZpUqlQpTd/jqRG/z1x6nBB1dVO4cOFk+xVaWVlRrlw5Lly4wJ07d5JcL7mW/vijppNbT5fgQvLnrvTYV/z13h48pKsbS0vLdw4ArlKlCvfv3+fx48eJznoDxjtfZ5bPUPz3zbsa3CpVqqQ2JLzNEOd3Dw8Pfv31Vzw9PWnWrBmtW7embt261KhRI039b98r8axZsyYajQZFUbh8+bJ6GUvXgqm7tK5Tvnx5cubMSXh4OFeuXKFOnTpcu3ZNnbsxrZfZ3/WLVzfCLj1ukRa/U7xWq+XFixecOnWKTZs2ce/ePfr27cvGjRuT/HCdOHGCkSNHpvjLMiIi4r1jfd9WtfT8ZfMu8ZON+MlBQEDAe20vLfX1Lm9PZ5XaOLp06aKOIA0ODmbbtm3qpY+iRYvSrFkzevXq9d4/NOC/y+y6FvnEtGvXjrlz5xIbG8uOHTv44osv9JbH7/KQN2/eZPf3ri+ftNZZaiR3GTz+KNu3vwfy5s3L4sWL+frrr/Hz8+P8+fOcP38eiPsxVLduXTp37pyhI7TfpWbNmri4uPD06VN2796Nu7s7jx8/RqPRpPikGf91fdeJJ/7o1/g/FiwtLVmyZAlffPEF9+/f59q1a+pl2Bw5clCzZk08PDxo27Zthibs8d+X8S//vy/dMabkhBy/hTwpyZ2T4rdwJbde/Pds/C5tqdlX/G2kNKa3Px+6urG3t3/nlDy6942iKLx58ybRUdSGPF/Hl1k+Q/G38a7vz+RGoRvi/D5s2DD8/PzYtm0bAQEBrFu3Tu1qUKZMGVq2bEnPnj1TPVr+vRJPe3t7ypQpw507d9RWzvgj1N9u8bS0tKRSpUpcuHCBS5cuUadOHb0J5bPSxPG6OxfpuLm50ahRI5o2bcqnn35KUFAQo0aNYsuWLQm+eAMDA9UJj3PlysXAgQNp0KABRYsWxdbWVv11ePbsWTWZT0sfT92XlZubG3PmzEnx85ydnd97n6mh1WrVuR9tbW313rzxv2i3b9+e4jnI0qvl8G1nz55VE6giRYowYMAAatSoQaFChciZM6ca3/z58/n111+T3M5XX31Ft27d2L17N2fPnuXff/8lPDycJ0+esGrVKv744w++++67ZEexJuXBgwfqVYTbt2+n6Ffwrl27GDFiRIbcMSy96swQatasyaFDhzhw4AAnTpzg0qVLPH/+nJCQEA4dOsShQ4do0KABixYtSpdLu6ml0Who3749S5YsYefOnTx79gyI+5H/Pj9U0vJ6ly5dmt27d3Ps2DGOHj3KpUuXePz4MREREZw+fZrTp0+zatUqli9fnmFXTpydncmbNy+vXr3i9u3bxMbGpkuim9nvnCfeX2b6DKXHNgxxfre0tGTGjBkMGDCAPXv2cO7cOa5fv050dDR3797l7t27rFq1ijlz5iQ6FiAp7z1jeM2aNblz5w6BgYHcv38fHx8ftFotuXLlUvtoxFejRg018YT/+oNaWloaZHL3jFa3bl369u3LypUruXHjBtu2baNr16566xw4cIA3b94AcfN51qtXL9FtJfdLOjV0LYhhYWEGnXswpTw9PdXBQFWrVtU7ccRv0XBwcMiwhDKlNm/eDMRdBtq8eXOSv1RT8tq5uLgwZMgQdXqSa9eusX//fjZt2kRkZCRTpkyhSpUqiX6OkvM+dyTy9vbm8uXLelcd4k8BpJuIOinJ/epOzzozBGtrazp06KC2fnh7e3PixAnWrl3Lo0ePOH36NP/3f//H+PHjjRKfh4cHS5Ys4d69e2r/N90AlJSI/7q+q5Uw/vLE+gWam5vTvHlz9WSju/Kzbt06dX7diRMn8ssvv6Q4vtRyd3fn4MGDhIWFceHCBerWrfve29IdY0paT3XdedI6VVZWoaub169fJ5jy7m26+tNoNCmeiN2QMsNnKH69BAQEUKJEiRRt422GPL+XLl1avdIbGRnJ5cuX2b17Nzt37lSnfzx06JA6MOxd3mtwEehfHr98+bLagvl2AqGjawX9999/iYqKUkdjlS9fXm+ASVY2ePBgtZ/iL7/8kmASYt1oQXt7+ySTTtDv35iYlP5Kit9JO6P7Pr6P1atXq4/fniw/fl+ityfpNQbda1e7du1kL4+867V7m6WlJdWrV+e7777jp59+AuJaueOPvEwJRVHU/kply5Zl3rx5yf776aef1DkzdZfndeLfgeJdx5Pc8oyqM0MpUqQIvXv35s8//1R/+Ozfv99o8ZQoUULtVxYZGYmVlRWtW7dO8fPLlCmjPta1jCcl/vL4z0tK/vz56dy5M5s2bVIHch0/fjxDu77oBm+A/nfJ+9Ado4+PT7I/pqKjo9UBtZnxx3xG0NVN/GNPiu59U6xYMYP1902NzPAZiv++Se7+8ZD8d6Oxzu/W1tbUq1ePmTNnqrM8REREJNkXNTHpknjq7kACCS+z6+gmiA8LC2Pbtm3qiOW09u/MTOzt7dW77/j6+iY4oetGk0VGRibZfyU8PPydLVe6D/Tbie3bdNPUKIrCmjVr3hm/Ie3du1dNrvLly6d3EoG4EZi6S5pr1qxJU5eD5OiSr3fVpe61S266pps3b/Lvv/++dyzxW2xSO9Dm/Pnz6qUjDw8PPvzww2T/tWvXTh209ddff6n9rSEuUdT1s0ruvai701ZSDFFnhmBra6sOAkjsdUnpeyg9eHh4YGVlhZWVFS1atEhVq5Kzs7M66nj//v1JDt6IjY1Vb2eZJ08evRkB3sXS0lLtOhUTE6Ne4dFJz7r64IMP1NHRx44dS1WLv66lVEf32VMUJdnR+gcOHFDPXWlpYc1K4jeSJFc3np6e6o/N5BpWjM3Yn6GKFSuqLac7d+5M8tzm5+fH6dOnk4wlM5zf69Spoz5OzTnrvRNPZ2dndTTs+fPn1cw8qcTT1tZWzfRXrFihlmel/p0p0b9/fzVhWrZsmV5fRd2owvDw8ERbTmJjY/n+++/1bqGVGF3n9oCAgAQjEONr0KCB+uvut99+S3LeRp3bt2/r3Zs8I0RFRbFixQr1l5K5uTnTp09P8Os4d+7cahLv6enJjBkzku1s7u/vz5YtW1Idj64uvb29k01uixUrBsS1vj5+/DjB8sDAQPWYkrJz585kp7KI/yVTuHDhZLeV2LZ1WrZsmaLn6KYXCQ4O1ptDs0CBAjRu3BiIO9EmNsVQREQEEyZMSHb76VFnhnDq1KlkP3PBwcFq60Vir4vuPfTkyZOMCTCeXr16qQN63r4DU0qfD3F1/8MPPyS6zqJFi9QE4u37Tev6cyYlKipKbYTIlStXgpbu9KwrjUbD3Llz1e/b8ePHs27dumS/J3TH/cUXX+h9Fps3b65eJlyyZIna9zw+X19fZs+eDcQNkHn7x7Kpqly5sjq7xZYtWxKdRio4OJiJEycCcYOD3qePuqEY+zNkZWWlvne8vLz08iGdmJiYBLdAfVtGn991dz5K7rx45swZ9XFqzlnv3ccT4lornzx5gp+fX9zGLCyS7a9Zo0YNvLy81L4VZmZmSSaqWZWDgwNdu3ZlzZo1eHt7s3v3brUPSZs2bZg3bx5RUVGMGzcOLy8v6tevj62tLffu3WPt2rXcuHGD6tWrJ3t5WTdrgFarZdKkSfTp00evT6TuhA/w008/0bVrV16/fs1XX33Frl27aNu2LcWLF8fMzEzvtldXrlxhwIAB6i+p9xV/ugitVsubN2/w8/PjypUrHDhwQL0sYGVlxcSJE9Uk520jR47k4sWL/Pvvv6xZs4YLFy7QrVs33NzcyJUrF0FBQdy7d4+///6bkydP4urqmqBf7btUr15dHbE3c+ZMOnTooE5jYmFhod6C08PDg2PHjhEWFkbv3r0ZNGiQ+ivW09OTVatW4e/vT7Vq1ZK85dqYMWP48ccfadGiBdWqVaNo0aJYW1vj7+/P33//zYYNG4C4E7buNowpER4errYeV6hQIcVfAE2bNsXS0pLo6Gh27Nihd9ODcePGce7cOcLDwxk5ciQ9evSgefPm6i0zV6xYwb1796hUqVKSl4vSo84MYe/evQwdOpR69epRv359XF1dyZMnD6Ghody5c4d169ap33Hdu3dP8Pxq1arh4+PD0aNH2bhxI9WrV1db9mxtbQ02NVlKdO/end27d+Pp6cm2bdt49uwZPXv2pHDhwrx8+ZI///yTgwcPAnEzLehuzqBz9uxZfv31V2rWrEnjxo0pW7YsDg4ORERE8OjRIzZu3KjOWdilS5cE/QGrVavG+fPnuXbtGsuWLaNRo0Zq4pgjR45UD2wsU6YM8+fP58svvyQsLIypU6eyceNG2rRpQ6VKlXBwcCA8PJxnz55x5swZDh8+nOiPdSsrK6ZNm8aQIUMICQmhR48eDBw4kLp162Jubo6npyfLli1TZ9sYM2ZMht5+ObP54Ycf6Nq1K9HR0Xz22Wf06dOHJk2a6N0yU3de192201Sl9TME8Pnnn7N//36eP3/O3LlzuXXrFh999JHeLTOvXbtGxYoVk73cnpHn95CQEIYOHYqLiwstW7akcuXKuLi4YG5uzsuXLzl27Jja2OPs7JzgVqTJSXPiGX8m/HLlyiU74rNGjRr88ccf6t+urq6ZsgNyWg0cOJANGzYQHR3NsmXL6NChA2ZmZhQoUIDJkyfz/fffExkZyfLly1m+fLnec9u2bUu3bt3UUe2JqVOnDlWrVuXKlSvs2bOHPXv26C2P/2u9aNGibNy4kS+++II7d+5w7NixZO+t+vY9Zd/Hu5ImjUZD3bp1GTt2bLIjr62srFi5ciXjxo3j4MGD3Lp1S707RmLe504pbdu2ZenSpXh7e7N69Wq9vmIuLi7qL8TWrVvTqVMntm3bxosXLxL80jU3N2fcuHHqnayS4u/vz4YNG9Qk8212dnbMmzePggULpvgYDh06pF7ySU1/JTs7O+rVq8eJEyc4c+YM/v7+6swCxYoV45dffmH48OGEhYWxdu1a1q5dq/f84cOHo9VquXbtWqL3WE+vOjOE6OhoTpw4wYkTJ5Jcp3v37vTt2zdB+cCBAzlw4ABRUVFMmjRJb1nHjh2ZNWtWusf7vszNzVmyZAlDhw7ln3/+4dy5c5w7dy7BeqVKlWL58uWJfh9otVouXLjAhQsXktxPs2bN+OabbxKU9+zZk40bN/L69Wt++ukntV8zxN3z+u33WEo0btyYDRs2MGXKFP755x/1xgRJsbe3Z/jw4Qm+Lz744ANmzpzJxIkTCQ0NZcGCBSxYsEBvHXNzc0aOHJnsfdpNUbly5ViyZAkjR44kJCSElStXqnN5x9erV69EX3dTkh6fITs7O1asWMEnn3zCy5cvEz2Pd+rUCXd3d8aNG5dkLIY4vz99+pRVq1YluTxfvnz8+uuvqdp2mhLPty+Tv6v18u3lpnaZXadAgQJ07NiRzZs3c//+fQ4cOECbNm0A6Ny5MyVKlOC3337jn3/+ITg4GHt7e9zc3OjUqRNt27ZV5xBMipmZGb/99hsrVqzg2LFjPHnyhPDw8CSbxEuUKMGOHTvYv38/Bw8e5Nq1awQGBhIbG4u9vT0lSpSgRo0atGjRIlX9uVLC2toaOzs79XaElSpVolmzZu+8laKOra0tCxcu5NKlS+zYsYNLly7x4sULIiMjsbW1pUiRIlSuXJnGjRunaqJ5HRsbGzZu3MjSpUs5c+YMz549S3Kes5kzZ1KnTh02b96Ml5cX0dHR5MuXj5o1a9K7d28qV67MwoULk9zXnj17OH78OJcvX8bb2xt/f3+Cg4OxsbGhZMmSNGjQgB49eqR6TrT3ucwef/0TJ04QExPDnj179H7w1K9fn927d7Ns2TJOnz7NixcvyJMnDxUrVqR37940bNiQ6dOnA/qTXceX1jozhHHjxlGvXj3OnTvH7du3efnyJYGBgZibm1OgQAGqVatGly5dkuyPXq5cOTZt2qR+pv39/Q3S3/N92dvbs27dOnbt2sWePXvw8vIiKCgIGxsbXF1dad26dYLLgzoDBgygbNmy/P3333h5efHixQu1FdDJyYnKlSvj4eGRZOuHs7MzW7ZsYenSpVy8eJHnz5/r9S9+X25ubmzYsIGzZ89y5MgR9XsiKCiIHDlykC9fPipWrMgHH3xAixYtEv2hBHE/FNzd3Vm9ejVnzpzB19cXrVZL/vz5qVOnDr17907xZN2mpkGDBhw6dIjVq1dz4sQJvL29iYqKwsnJiRo1atC9e3eTGrORnLR8hnTKlCnDnj17WL58OYcPH+bZs2fq87t160a7du1SdIvLjDq/u7i4sGXLFk6ePImnpydPnz4lICCAsLAw7OzsKF26NE2aNOHjjz9OdaOPRsmoURtCCJPXv39/zp49S40aNd55f2YhhBDivQcXCSGyNz8/P3Ve3vi3hxNCCCGSIomnECJRyY1ejoiIYNy4ceqoy9RMwiyEECL7SlMfTyGE6fr+++8JCwujTZs2VKhQAXt7e0JDQ7l+/Trr169XE9MuXbpk235vQgghUkcSTyFEkq5fv57sdB4tWrR453yeQgghhI4MLhJCJOrGjRscOnSIc+fO4efnR2BgIIqi4OjoSJUqVejYsWOSc7AKIYQQiZHEUwghhBBCGIQMLhJCCCGEEAYhiacQQgghhDAISTyFEEIIIYRBSOIphBBCCCEMQhJPIYQQQghhEJJ4CiGEEEIIg5DEUwghhBBCGIQknkIIIYQQwiAk8RRCCCGEEAYhiacQQgghhDAISTyFEEIIIYRBSOIphBBCCCEMQhJPIYQQQghhEJJ4CiGEEEIIg5DEUwghhBBCGIQknkIIIYQQwiAk8RRCCCGEEAYhiacQQgghhDAISTyFEEIIIYRBSOIphMgytm3bRtmyZfHx8TF2KCnWp08f2rVr9871fHx8KFu2LNu2bTNAVEIIYRySeAoh3su6desoW7YsXbt2NXYo6ebEiRMsXLjQ2GEIIzp9+jTjx4+nXbt2lCtXjqZNmxo7JCFMiiSeQoj3snv3blxcXLh69SqPHz82yD4/+ugjrl69iouLS4Zs/8SJEyxatChDtv0uurr86KOPjLJ/EWfPnj3s2bMHW1tb8ufPb+xwhDA5kngKIVLN29sbT09Pxo0bh4ODA7t37zbIfs3NzbG2tkaj0Rhkf4ak0WiwtrbG3Nw82fXCwsIMFFHaxMTEEBUVZewwUu2rr77i8uXLbNy4ETc3N2OHI4TJkcRTCJFqu3fvJk+ePDRu3JhWrVolmXi+evWK0aNHU716dWrWrMm3337LrVu3EvRlvHXrFmPHjqVZs2ZUqlSJ+vXrM27cOF69eqW3vcT6eDZt2pTBgwdz6dIlunTpQqVKlWjWrBk7duzQe250dDSLFi2iZcuWVKpUidq1a9OjRw/OnDkDwNixY1m3bh0AZcuWVf+9y4kTJ+jduzfVqlWjevXqdO7cOdH6uHfvHn369KFKlSo0bNiQ5cuX6y1PrI/n2LFjqVatGk+ePOGzzz6jWrVqjBo1Cviv7+j169fp3r07lStXpmnTpmzYsOGdMeu8efOGGTNm0LRpUypWrEijRo0YM2YMgYGBAERFRTF//nw6depEjRo1qFq1Kj179uTcuXOJxv7bb7/x+++/07x5cypVqsT9+/c5f/48ZcuWZd++fcybN4/69etTtWpVhgwZgq+vb4riLFu2bKJdIJo2bcrYsWPVv3Xvj4sXLzJx4kRq165N9erVGTNmDEFBQSnal7OzM5aWlilaVwiRehbGDkAIkfXs3r2bFi1aYGVlRbt27diwYQNXr16lcuXK6jparZahQ4dy9epVevToQcmSJTly5Ajffvttgu39/fffeHt706lTJ/Lly8fdu3fZvHkz9+7dY/Pmze9s4Xz8+DEjR46kS5cudOzYkT///JOxY8dSoUIFypQpA8CiRYtYunQpXbt2pXLlyoSEhHD9+nVu3LhB/fr1+fjjj3nx4gVnzpzhxx9/TFE9bNu2jfHjx1OmTBkGDx6MnZ0dXl5enDp1ivbt26vrBQUF8emnn9KiRQvatGnDgQMHmDt3Lq6urjRu3DjZfcTExDBw4EBq1KjBt99+S44cOfS2O2jQINq0acOHH37I/v37mTx5MpaWlnTp0iXZ7YaGhtKrVy/u379P586dKV++PK9eveLo0aP4+fnh4OBASEgIW7ZsoV27dnTt2pXQ0FC2bt3Kp59+ypYtWyhXrlyC+oiMjKRbt25YWVmRJ08e3rx5A8DixYvRaDR89tlnBAQEsHr1avr378/OnTv1jik9TJ06ldy5czN8+HAePnzIhg0bePbsGWvXrjXJ1nIhshRFCCFS4dq1a4qrq6ty5swZRVEURavVKo0aNVJ++OEHvfUOHDiguLq6Kr///rtaFhsbq/Tt21dxdXVV/vzzT7U8PDw8wX727NmjuLq6KhcvXlTL/vzzT8XV1VXx9vZWy5o0aZJgvYCAAKVixYrKrFmz1LIOHToogwYNSvbYpkyZori6ur6rChRFUZQ3b94o1apVU7p27apEREToLdNqterj3r17K66ursr27dvVssjISKV+/frKiBEj1DJvb+8E9fLtt98qrq6uyty5cxPsX7fdlStX6m33o48+UurWratERUUlG//8+fMVV1dX5eDBgwmW6eKPiYlRIiMj9ZYFBQUp9erVU8aNG5cg9urVqysBAQF66587d05xdXVVGjZsqAQHB6vl+/btU1xdXZXVq1cnG6eiKIqrq6uyYMGCBOVNmjRRvv32W/Vv3fujY8eOese/fPlyxdXVVTl8+PA79xXfoEGDlCZNmqTqOUKI5MmldiFEquzevRsnJydq164NxPVNbNu2Lfv27SM2NlZd79SpU1haWtKtWze1zMzMjF69eiXYZvwWr8jISAIDA6lSpQoAN27ceGdMpUuXpmbNmurfDg4OlChRAm9vb7Usd+7c3L17l0ePHqX8YJNx5swZQkNDGTRoENbW1nrL3m5Vy5Url96gISsrKypVqqQXX3J69OiRaLmFhQUff/yx3nY//vhjAgIC3llvBw8exM3NjRYtWiRYpovf3NwcKysrIK4F+/Xr18TExFCxYkVu3ryZ4HktW7bEwcEh0f15eHhga2ur/t26dWvy5cvHiRMnko3zfXz88cd6l8t79OiBhYVFhuxLCJE6cqldCJFisbGx7N27l9q1a+v1s6xcuTIrV67k7NmzNGjQAIBnz56RL18+cubMqbeNokWLJtju69evWbRoEfv27SMgIEBvWXBw8DvjKliwYIKyPHny6PXr++KLLxg2bBitWrXC1dWVBg0a8NFHH733AJInT54AqJfyk1OgQIEEyWiePHm4ffv2O59rYWFBgQIFEl2WP39+cuXKpVdWvHhxAJ4+fUrVqlV5+fKl3nI7Ozty5MjBkydPaNmy5Tv3v337dlauXMnDhw+Jjo5WywsXLpxg3cTKdIoVK6b3t0ajoVixYjx9+hSIu/Qff+CUubl5kknsu7y9LxsbG/Lly6fuKzg4mIiICHW5paUl9vb277UvIUTqSOIphEixc+fO8fLlS/bu3cvevXsTLN+9e7eaeKbGl19+iaenJwMHDqRcuXLkypULrVbLp59+iqIo73z+u0aCA7i7u3Po0CGOHDnCmTNn2Lp1K6tXr2bKlCkZPhdpSuJLipWVFWZm739x6u3XY+bMmXTq1ClFz925cydjx46lefPmDBw4EEdHR8zNzVm6dGmirbVp6au5cuVKvamsXFxcOHr0aLLPid/CnhrTp09n+/bt6t+1atVi7dq177UtIUTqmGTi+ezZM549e0Z4eDgODg6UKVNGvVwkhHh/u3fvxtHRkYkTJyZYdujQIQ4dOsSUKVPIkSMHhQoV4vz584SHh+u1eupaCnWCgoI4e/YsI0aMYPjw4Wp5el0Sj8/e3p7OnTvTuXNnQkND6d27NwsXLlQTz9QMPNG13N69ezdBC5uhvHjxgrCwML1WT1296eY6XbVqld5zSpcuDcTFf/fu3WS3f+DAAYoUKcKiRYv06mbBggWpjvXtuV4VReHx48fqzAEeHh7UqFFDXR6/+0L8QUo6UVFRCVpz4++rTp066t+hoaG8fPmSRo0aAfDpp5/SoUMHdXnu3LlTfTxCiPdjMomnj48PGzZsYN++fTx//lyvlcTS0pKaNWvSrVs3WrVqlabWAyGyq4iICA4ePEjr1q1p3bp1guX58+dnz549HD16lLZt29KgQQM2b97M5s2b6devHxDXT1A3ZZFOUq2Bq1evTtf4X716Rd68edW/bWxsKFq0qN6UProE+c2bN+9MRho0aICNjQ1Lly6lYcOGeomSoigGGT0dExPDpk2b+OSTT4C4ZGzTpk04ODhQoUIFAOrVq5foc1u2bMkvv/zCoUOHEvTz1MWve23iH8+///7LlStXKFSoUKpi3bFjB4MGDVL7ef7111+8fPmSzz77DIAiRYpQpEiRRJ9bpEgRLl26pFe2efPmJFs8N23aRKdOndR+nhs2bCAmJkZNPEuXLq0m4EIIwzKJxPOHH35g+/btNGjQgJEjR1K5cmXy589Pjhw5CAoK4s6dO1y+fJkFCxbwyy+/MGPGDL1pX4QQ73b06FFCQ0OTvIVg1apVcXBwYNeuXbRt25bmzZtTuXJlZs+ezZMnTyhZsiRHjx5V+13qEhlbW1vc3d1ZsWIF0dHRODs7c+bMmXS/H/uHH35IrVq1qFChAvb29ly7do0DBw7Qu3dvdR1dsvbDDz/QoEEDzM3N+fDDDxPdnq2tLePGjeP777+nS5cutGvXjty5c3Pr1i0iIiKYPXt2usafmPz587N8+XKePn1K8eLF2bdvH15eXkybNu2dc1EOHDiQAwcOMHLkSDp37kyFChUICgri6NGjTJkyBTc3Nz744AMOHjzI559/zgcffICPjw8bN26kdOnSqZ7IPk+ePPTs2ZNOnTqp0ykVK1ZMb/BZUrp27cqkSZMYMWIE9erV49atW5w+fVrvh0R80dHR9O/fnzZt2vDw4UPWr19PjRo1aNas2Tv3devWLfUS/+PHjwkODubXX38FwM3NTW6hKUQamUTimTNnTg4fPpzol5CjoyN169albt26DB8+nJMnT/L8+XNJPIVIpV27dmFtbU39+vUTXW5mZsYHH3zA7t271dbFpUuXqv3pzMzMaNGiBZ9//jk9evTQayH86aefmDZtGuvXr0dRFOrXr8/y5ctp2LBhusXfp08fjh49ypkzZ4iKiqJQoUJ8+eWXDBw4UF2nZcuW9OnTh71797Jr1y4URUky8YS4hMjR0ZFly5bx66+/YmFhQcmSJenfv3+6xZ2cPHnyMGvWLH744Qc2b96Mk5MTEydOTFEyZ2Njw7p161i4cCGHDh1i+/bt6vels7MzAJ06dcLf359NmzZx+vRpSpcuzZw5c/jrr7+4cOFCqmIdMmQIt2/fZtmyZYSGhlK3bl0mTZqUYPBZYrp164aPjw9bt27l1KlT1KhRg1WrViVZzxMnTmT37t0sWLCA6OhoPvzwQ77//vsUtULfvHmT+fPn65Xp/u7YsaMknkKkkUZJSc99IYRIJ4cPH+bzzz9XW6HE++nTpw+vXr1iz549xg4lWefPn6dv377Mnz8/0S4a6Wnbtm2MGzeOrVu3UqlSpQzdlxDi/ZhEi2dSAgMDuXr1KrGxsVSqVIn8+fMbOyQhspWIiAi9kc6xsbGsXbsWW1tb9bK2EEKI7MNkE88DBw7w3XffUbx4cWJiYnj48CETJ06kc+fOxg5NiGxj2rRpREREUK1aNaKiojh48CCenp58/fXX6X6bRCGEEJmfySSeoaGh2NjYqH8vWrSILVu2UKJECQCOHz/O999/L4mnEAZUp04dVq1axfHjx4mMjKRYsWJMmDBBb0CPEEKI7MNk+ni2atWK0aNH07x5cyCuE/h3332n3kZv69at/Prrr++ckFgIIYQQQmQMk0k8fXx8mDp1KpaWlkycOBFvb2+++uortFotMTExmJmZMWvWLBo3bmzsUIUQQgghsiWTSTx19uzZw4IFC+jTpw9du3bl8ePHaLVaSpYsqTd9ixBCCCGEMCyTSzwh7q4js2fP5s6dO0ybNg03NzdjhySEEEIIke2ZVOJ54sQJ7t+/j5ubG/Xq1ePChQtMnTqVhg0bMnLkSBlFK4QQQghhRCZz0/JZs2Yxbtw4rl27xsSJE/nll1+oVasW27Ztw9raGg8PD06cOGHsMIUQQgghsi2TafGsXbs2v/32GxUrVuT169d8/PHHHDhwQF1+7949Jk6cyPr1640YpRBCCCFE9mUyLZ45c+bEx8cHgOfPn2NlZaW3vHTp0pJ0CiGEEEIYkcm0eO7atYsJEyZgZ2dHREQEs2bNUuf0FEIIIYQQxmcyiSfAq1ev8Pb2pnjx4uTOndvY4QghhBBCiHhMKvEUQgghhBCZl0n08Zw4cSLPnz9P0br79u1j165dGRyREEIIIYR4m4WxA0gPDg4OfPjhh1SvXp0mTZpQsWJFnJ2dsbKy4s2bN9y7d4/Lly+zb98+8ufPz9SpU40dshBCCCFEtmMyl9r9/f3ZsmUL+/bt4969e3rLbGxsqFevHl26dKFRo0ZGilAIIYQQInszmcQzvqCgIHx9fYmIiCBv3rwULVoUjUZj7LCEEEIIIbI1k0w8hRBCCCFE5mMSg4uEEEIIIUTmJ4mnEEIIIYQwCJMY1Z4dBQQEI50khBBCCNOn0YCjo52xw0gXknhmUYqCJJ5CCCGEyFLkUrsQQgghhDCIbJN43r9/n2bNmhk7DCGEEEKIbCvbJJ7R0dE8e/bM2GEIIYQQQmRbJtPHc+bMmckuDwwMNFAkQmfLlo3s2rUNjUaDRqOhZ8++tGrVFgAvrxvMn/8Td+/eplatOsyc+VOS2/HyusGCBT8RFhaORqNhxIivqFHDHYDff1/B4cMHyZUrF1OnzqRAgYIATJ8+mfbtPahcuWqGH6cQQgghUsZkEs81a9ZQrlw5bGxsEl0eFhZm4Iiyl+HDB/Hdd5MpWLCQWlaiREkWL16Jra0tfn7PGTCgFxUrVsbFpTCOjk588cXX3Llzm/Pn/05yu4qiMH78aMaPn4S7e22ePHnMl18OY8OGP4mJieHAgX388ccWDh7cz9atmxg+/EsuXjyHtXUOSTqFEEKITMZkEs+iRYvSr18/Pvroo0SXe3l50alTJwNHlb3VrFlLfezsXAAHB0f8/J7j4lKY/PmdyZ/fmUePHia7jaCgIF6/foW7e20AihYthp2dHefO/U2tWnXRarXExMQQERGBpaUlERER/P77b/z44/9l6LEJIYQQIvVMpo9nxYoVuXHjRpLLNRoNcndQ47l48TzBwcGUK1chVc+zt7fH0dGJI0cOAXGX3Z88eYyv7zNy5szJxx/3YvDgTzh16gRdu3ZnxYoldO/eCxsb24w4DCGEEEKkgcm0eI4dO5aoqKgkl7u5uXHr1i0DRmT6pk2byP379wB4+tSb0aNHYmFhCcDMmXPVy+73799j5sypTJkyk5w5c6Z6PzNn/sTixQv5449VlChRisqVq2JuHvfW7dSpK506dQXg1i0vXr70o3btevz002xevQqkSpVqdO3aPT0OVwghhBBpZDKJZ758+YwdQrYzYcJU9XFifTwBHj58wJgxXzJu3ASqVKn6XvspU8aVefMWqn/36tWFEiVK6q0TExPDL7/8zOTJ0zl4cB/29vZ88823jBgxmHr1GuDiUvi99i2EEEKI9GMyl9oTM3nyZBnNbkSPHj1k9OiRjBnzHe7udd57O/7+/urjXbu2kyNHTnVUu87GjX/QokVrHB2dCA+PQKPRAHFdLCIiIt5730IIIYRIPyadeO7atYvQ0FBjh5Ft/fzzHEJCQli8eCH9+/ekf/+enD9/FoAnTx7RsWNbFi78P86fP0fHjm3Ztm0LALdu3WTUqC/U7ezatY3u3TvRvXtHzpw5yYwZc9TEEuDpUx88Pf+hfXsPAFq1asM//1yiT59uFC5chFKlShvuoIUQQgiRJI1iwiNuqlWrxq5duyhSpIixQ0l3/v7Bcq92IYQQIhvQaMDJyc7YYaQLk27xFEIIIYQQmYdJt3iaMlNp8fTze46f3/Mklzs7F8DZuYABIxJCCCEyF1Nq8TSZUe3xxcbGcujQIe7fvw9AqVKlaN68ORYWJnm4Wdrq1SuZO3dWkstHjRrLmDHjDRiREEIIITKKybV43r17l6FDh+Lv70+JEiUAePToEXnz5mXJkiW4uroaOcL0YYotnnfv3mbo0M9YvHg5ZcqUBaTFUwghhJAWz0zs+++/p3Tp0vz555/kyZMHiLvt4tixY5k4cSIbN240coQivsQSyzJlysp91oUQQggTZHKDi7y8vPjmm2/UpBMgT548fPXVV9y8edOIkQkhhBBCZG8ml3gWL15cb8JxnYCAAIoVK2aEiIQQQgghBJjgpfZvvvmG6dOnM3z4cKpWrQrAlStX+OWXXxg1ahQhISHqura2tkaKUgghhBAi+zG5wUVubm7qY93dbXSHGP9vjUaDl5eX4QNMJxk1uEij0RDvpkAG9e+/V2jWrCFHjpx67/u6p5Wi/Pd+EUIIITIDGVyUia1Zs8bYIWRZGo0GxSqSkBjj3GY0TBOk/j9YE2iUGGwsbdBEWUvyKYQQQmQAk0s8a9WqZewQsiyNBkJiQvnlwiJehibsJ5vRAh7E7XPppaU4BjoZfP/5bJz4vNZw7DTWJjFVlRBCCJHZmFziefHixWSXu7u7Z9i+ly5dysGDB3nw4AE5cuSgWrVqjBo1ipIlS6rrREZGMmvWLPbt20dUVBQNGjRg0qRJODkZPtFKystQf3yDfQ2+3zehcS2e/qH+RAVHG3z/QgghhMhYJpd49unTJ0GZJl6nxYzs13nhwgV69epFpUqViI2NZd68eQwcOJC9e/eSK1cuAGbMmMGJEyf4+eefsbOzY9q0aQwfPlzmFxVCCCGEyTO5xPPtFs/o6Gi8vLyYP38+X331VYbu+7ffftP7e9asWdStW5cbN27g7u5OcHAwf/75J3PnzqVu3bpAXCLatm1brly5oo7CF0IIIYQwRSaXeNrZJRz1Vb9+fSwtLZk1axbbtm0zWCzBwcEA6mT2169fJzo6mnr16qnrlCpVikKFCmXbxDPydQSRryMBCPUN0fs/gLW9Ndb2OYwSmxBCCCHSl8klnklxdHTk4cOHBtufVqtlxowZVK9eXb0/vL+/P5aWluTOnTtBbC9fvjRYbJmJ93FvHuy8r1d2bdk19XHJj0pR2qOMocMSQgghRAYwucTz1q1bCcpevHjB8uXL9eb4zGhTpkzh7t27rF+/PkO2b2lprj6OjVWIjdVibm6GubkmXrmW2FgFCwszzMz+K4+J0aLVKlhamuvN2Rkbq5vvFDTx1lcUBRT9MgBFq4BGvw9tasuLNilK/qr54+KIv/7/5tPMkTeH/n4VBUX53zb0ipOIMRXlut1rNGBlZa63flRULBqNBktLs3jbgOjoWMzMNFhY/Feu1SrExGgxN9dgbv5feXq9TtHRWhRFSRBjdHQsipJU7PrvGTkmOSY5JjkmOaasdUymwuQSTw8Pj7j5KN+aD6dq1apMnz7dIDFMnTqV48eP88cff1CgQAG13MnJiejoaN68eaPX6hkQEEC+fPlStQ/dGzO+uDd9wnVjYrRJbiM+M7O4ZE5R/pckviWxMl2C+L7lVnmsscpjnWh8ye1XlzimKMYUluvCUpS4L6fE9plYuVabeHncl1Ni5Wl7nXQS22dS5XJMckxx5XJMckxyTFnxmIx1Y5eMYHKJ55EjR/T+NjMzw8HBAWvr5JOb9KAoCtOmTePQoUOsXbuWIkWK6C2vWLEilpaWnD17llatWgHw4MEDnj17li37dwohhBAiezG5xNPFxUV9/Pz5c/Lnz4+ZmVkyz0g/U6ZMYc+ePfz666/Y2Nio/Tbt7OzIkSMHdnZ2dO7cmVmzZpEnTx5sbW354YcfqFatmiSeQgghhDB5Jpd4xte2bVt27tyZoOUxo2zYsAFIOJfozJkz6dSpEwDjx4/HzMyML774Qm8CeSGEEEIIU2fSiaeh77d9+/btd65jbW3NpEmTJNkUQgghRLZjmGvQQgghhBAi2zPpxHPIkCHq5O1CCCGEEMK4TPpS+6BBg4wdghDv7e+/T7NixRIePryPh0cXRo78Rl22ZctGdu3ahkajQaPR0LNnX1q1apvodhRFYeXKZRw6dAArK0vy5LFn4cKlAPz443SuX7+KvX1eZsyYi62tLYqiMGrUSL7+egwuLoUNcqxCCCGyB5NMPLds2cLq1at59OgRAMWLF6dfv3507drVuIEJkYThwwfx3XeTKViwkFpWuHARxo2byLFjhwkPD9dbv0SJkixevBJbW1v8/J4zYEAvKlasnGiiuGXLRu7fv8fatZuwtLQkIMAfgAcP7uHj482aNZtYtWo5Bw7spXPnj9m9ewfVq9eQpFMIIUS6M7nEc/78+fz+++/07t1bnaLoypUrzJgxg2fPnjFy5EjjBihEChUtWgyAkyePJVhWs2Yt9bGzcwEcHBzx83ueaLK4YcNa5s9fjKWlJQCOjk4AWFhYEB0dhVarJTw8HAcHR/z9/Tl8+ADz5i3KiEMSQgiRzZlc4rlhwwamTZtGu3bt1LJmzZpRtmxZpk2bJomnMDkXL54nODiYcuUqJFgWGhpCYGAAp0+f4NixuJsrdO/ei2bNWlK0aHGqVavJgAG9KVy4CAMGDGLmzCkMGzYSCwuT+2oQQgiRCZjc2SUmJoaKFSsmKK9QoUKit7wSwlimTZvI/fv3AHj61JvRo0diYRHXKjlz5ly9y+5JuX//HjNnTmXKlJnkzJkzwfLY2FhiY2OJjIxk+fLV+Po+Y8iQARQtWpwyZVwZNGgYgwYNA+DUqePkz1+AggULMmPGFEJDQ2jatAXNmrVMt2M2tOT6ySa37G3e3k+YPn0yr1+/xtbWlvHjJ1GyZCliYmKYMOFbnj17hotLYaZOnYmFhQWRkZF8/fVwZs78Se/2uEIIkd2Z3Kj2jz76SJ3IPb7NmzfTvn17I0QkROImTJjK77+v5/ff11O2bDnmzJmv/p2SpPPhwweMGfMl48ZNoEqVqomukzt3HnLmzEXLlm0AKFiwEJUqVeHWrZt664WGhrBhwx8MHDiYzZs3ULVqdaZMmcmqVSuIjIxI87EawvDhg/D1faZXpusn26NHnwTrJ7fsbXPmzKBDh45s3LiNXr36MmPGFADOnz+LnV1uVq/egK2tLefPnwXg999X0KlTN0k6hRDiLSaXeAJs3bqVdu3a8d133/Hdd9/Rvn17Nm/ejJmZGTNnzlT/CZFVPXr0kNGjRzJmzHe4u9dJdt3mzVupCdGbN0F4ed2gVKnSeussXryITz75lBw5chAREa6Olo+JiSE6OibDjiOjFS1ajDJlXDE3N0/VsvhevQrk1i0vNXn/4INmvHjhh4+P9/9aN+MS88jICCwtLbl37y5PnjyiWbMW6X9AQgiRxZlc4nnnzh3Kly9P3rx5efLkCU+ePMHe3p7y5ctz584dbt68yc2bN/Hy8jJ2qEIk69KlC3Ts2JZNm9azZ89OOnZsy+nTJwD4+ec5hISEsHjxQvr370n//j3V5PLWrZuMGvWFup0hQz7n/Pm/6dOnG59//hm9evWjfPn/uqNcvXqFqKhINYHt1Kkb27Ztpl+/7rRu3RZbW1sDHnXm4+fnh6Ojo9rvVaPR4OzsjJ/fc9zda5Mrlw39+vXAxsaW6tVrsnDh/zFy5CgjRy2EEJmTyfXxXLt2rbFDECLVFi1alqCsZs1abN++L9H1f/751yS35eZWnrlzF6h/58ljz+zZ/5fk+pUrV6Vy5arq3y4uhVm+fE0Koja+9OgnmxZmZmZ8++336t+bN6+nUaPGxMbGMnnyd0RHR9GpUzdq1HDP0DiEECKrMKnEMzo6mipVqrBjxw5cXV2NHY4QIoNNmDBVfZzYXKjpwdnZmYCAAGJiYrCwsEBRFPz8/HB2LqC33vPnvpw9e4afflrI9OmT6NChI25u5Rg06BP++GNzusYkhBBZlUldare0tKRgwYJotVpjhyKEMBF58zrg6lqWgwf3A3D8+BHy5ctP4cJF9NabP38uI0Z8jZmZGeHhEf/rJ2tGRER4YpsVQohsyaRaPCHu/uzz5s3jxx9/xN7e3tjhCJGh/Pye4+f3PMnlzs4FErTMZSeXLl1g+vTJhIaGoigKx48f4ZtvvqVBg8bJLjt9+gSnT59k7NgJAIwZM57p06ewZs0qbGxsGD9+kt5+Dh78i9KlXSlZshQAvXv3Y/bs6cTERNO//0CDH7cQQmRWGkVRFGMHkZ48PDx4/PgxMTExFCpUiFy5cukt3759u5EiS1/+/sGk9ytnZqYhWBPI5GOT8Q32Td+NZwEF7Qoyuclk7BQHtNqs8bH48ccZzJ07K8nlo0aNZcyY8QaMSAghRHrTaMDJyc7YYaQLk2vxbN68ubFDEMJg+vUbQOvWbQG4e/c2Q4d+xuLFyylTpixAtm7tFEIIkfmYXOI5fPhwY4cghMEkdim9TJmyeqPUhRBCiMzC5BJPIYRIDeknK4QQhmNyiWdsbCy///47+/fvx9fXl+joaL3lFy5cMFJkQojMaPXqldJPVgghDMTkEs9FixaxZcsWBgwYwM8//8yQIUN4+vQphw8f5vPPPzd2eEKITEb6yQohhOGYXOK5e/dufvjhBz744AMWLlxIu3btKFq0KGXLluXff/81dnjCxMXN3Wi8fev+b2ZmpCAARYGsNFmG9JMVQgjDMbnE09/fX71rkY2NDcHBwQA0adKE+fPnGzM0YeI0Gg2KVSQhMaFG2X+YJkj9f7Am0CgxANhY2qCJss5SyacQQgjDMLnE09nZmZcvX1KoUCGKFCnCmTNnqFChAteuXcPKysrY4QkTptFASEwov1xYxMtQf4PvP+BB3D6XXlqKY6CTwfcPkM/Gic9rDcdOY53u88wKIYTI+kwu8WzRogVnz56lSpUq9OnTh9GjR7N161aePXtG//79jR2eyAZehvobZQL+N6FxLZ7+of5EBUe/Y20hhBDC8Ewu8Rw1apT6uG3bthQqVAhPT0+KFStG06ZNjRiZEEIIIUT2ZnKJ59uqVq1K1apVjR2GEEIIIUS2Z2bsANLb0qVL2bp1a4LyrVu3smzZsgzd98WLFxkyZAgNGjSgbNmyHD58WG+5oijMnz+fBg0aULlyZfr378+jR48yNCYhshrdqHxj/Ht7ZgBjxiCEEKbI5Fo8N23axNy5cxOUlylThq+++opBgwZl2L7DwsIoW7YsnTt3TvTWncuXL2ft2rXMmjWLwoULM3/+fAYOHMi+ffuwtrbOsLiE6Yp8HUHk60gAQn1D9P4PYG1vjbV9DqPE9j5kZgCZFUAIYdpMLvF8+fIl+fLlS1Du4ODAy5cvM3TfjRs3pnHjxokuUxSFNWvWMHToUJo3bw7Ajz/+SL169Th8+DAffvhhhsYmTJP3cW8e7LyvV3Zt2TX1ccmPSlHao4yhw3pv2X1mAJkVQAhh6kwu8SxYsCD//PMPRYoU0Su/fPky+fPnN1JU4OPjw8uXL6lXr55aZmdnR5UqVfD09JTEU7yXIh8UIX/VpN/X1vZZsyVdZgYQQgjTZHKJZ9euXZkxYwYxMTHUqVMHgLNnzzJnzhwGDBhgtLh0ra2Ojo565Y6Ojvj7G75lR5gGa/scWepSuhBCiOzN5BLPTz/9lNevXzNlyhSio+NaLKytrfn0008ZPHiwkaNLP5aW5urj2FiF2Fgt5uZmmJtr4pVriY1VsLAw07uFYkyMFq1WwdLSXO/2jrGxcdf2NBrQxFtfURRQ9MsAFK0CGhIMhkhV+f9ur6jR/G/HCco1EH8zioKikKA8yRhTUa7bvUYDVlbmeutHRcWi0WiwtDSLtw2Ijo7FzEyj1rFZjP52jH1MYNjXSaMBMw2Ym2nQalP+3ouO1qIoClZW5modasw0Bj8m/feDcV4nMw1YWZqj1cZ9HlPy3tPRahViYrSYm2swN/+vPL2+I+K/TvFFR8eiKEl9bvS/r+SY5JjkmN7vmEyFySWeGo2G0aNHM2zYMO7fv0+OHDkoXry40e9apOt3GhAQoHfJPyAgADc3t1RvT/fGjC/uTZ9w3ZgYbZLbiM/MLO6Eqij/Owm+JbEy3ck7reWKovvP2+VxJ+kUlycWYwrLdbtXlLgvp8T2mVi5VhtXbmamQavR346xj+m/QsO8TooCWgVi/xdDSt97OlFRsWod6r02Bjom/feDcV4n7f/ef9q3Yknuvfe2uBNjYuVp+47QSWyfSZW/7+fpbXJMckyQfY/JlCa7MLnplHRsbGx48uQJhQsXNnrSCVC4cGHy5cvH2bNn1bKQkBD+/fdfqlWrZsTIhBBCCCEMw+RaPOObOHEiVapUIVeuXAbZX2hoKE+ePFH/9vHxwcvLizx58lCoUCH69u3L4sWLKVasmDqdUv78+dVR7kIIIYQQpsykE09Dz4N3/fp1+vbtq/49c+ZMADp27MisWbP47LPPCA8PZ+LEibx584YaNWqwYsUKmcNTCCGEENmCSSeehla7dm1u376d5HKNRsPIkSMZOXKkAaMSQiTH1CbhF0KIzMykE8/ly5fj7Oxs7DCEEJmYqU3CL4QQmZnJJp4BAQEAXL16lRIlSiSYP1MIIcB0J+EXQojMyOQSz5CQEKZMmcK+ffvU6Q/Mzc1p06YNkyZNws7OzsgRCiEyE5mEXwghDMfkplP6/vvvuXr1KkuWLOHSpUtcunSJJUuWcP36dSZOnGjs8IQQQgghsi2Ta/E8fvw4K1asoGbNmmpZw4YN+eGHH/j000+NGJkQQgghRPZmci2e9vb2iV5Ot7W1JXfu3EaISAghhBBCgAkmnkOHDmXWrFm8fPlSLXv58iVz5sxh2LBhRoxMCCGEECJ7M7lL7Rs2bODx48c0adKEggULAuDr64ulpSWBgYFs2rRJXXf79u3GClMIIYQQItsxucRTbj8phBBCCJE5mVTiGRsbS+3atSlbtqz05xRCCCGEyGRMqo+nubk5AwYMICgoyNihCCGEEEKIt5hU4glQpkwZfHx8jB2GEEIIIYR4i8klnl9++SWzZ8/m2LFjvHjxgpCQEL1/QgghhBDCOEyqjyfAoEGDgLhplTQajVquKAoajQYvLy9jhSaEEEIIka2ZXOK5Zs0aY4cghBBCCCESYXKJZ61atYwdghBCmBytVsv8+XM5e/YMGo2Gbt160Lnzx4mu+9VXnxMYGIBGY0auXLn48stRuLq6ERMTw4QJ3/Ls2TNcXAozdepMLCwsiIyM5OuvhzNz5k8yI4kQJs4kEs9bt27h6uqKmZkZt27dSnZdNzc3A0UlhBBZ0/Dhg/juu8kULFhILTtwYB+PHj1kw4ZthIaG8MknvahWrSYlS5ZK8PypU2epty4+ceIY06dPYfXqDZw/fxY7u9ysXv0TM2ZM4fz5s9Sv35Dff19Bp07dJOkUIhswicTTw8ODM2fO4OjoiIeHBxqNBkVREqwnfTyFEOL9HD16iPbtPTA3Nyd37jw0a9aCw4cPMGhQwlsR65JOgNDQELW/fVzrZgQAkZERWFpacu/eXZ48ecTgwZ8b5kCEEEZlEonnkSNHcHBwUB8LIYRIX35+zylQoKD6d4EChbhx41qS60+bNhFPz8sAzJkzHwB399ocP36Efv16UKFCRapXr8k333zBd99NytjghRCZhkkkni4uLok+FkIIkTLTpk3k/v17ADx96s3o0SOxsLAEYObMuane3oQJUwHYv38PixcvYO7cBZiZmfHtt9+r62zevJ5GjRoTGxvL5MnfER0dRadO3ahRwz0djkgIkRmZROL5tkePHnH+/HkCAgLQarV6y4YPH26kqIQQIvPSJYqQeB9PZ+cCPH/uS8WKlQF4/vwZzs4F3rndNm3aMWfOTIKCXpMnj71a/vy5L2fPnuGnnxYyffokOnToiJtbOQYN+oQ//ticfgcmhMhUTC7x3Lx5M5MnTyZv3rw4OTnpzeWp0Wgk8RRCiPfQpElzdu/eQZMmzQkNDeHIkUP8+OPPCdYLDg4mMjICJ6d8AJw8eZw8efKQO3cevfXmz5/LiBFfY2ZmRnh4BBqNBo3GjIiIcEMcjhDCSEwu8Vy8eDFffvmlOpG8EEKItGvVqi1eXjfp3r0TGg18/HEvSpUqDcDp0yc4ffokY8dOIDQ0hAkTviUyMhKNxgx7+7z8+OP/6TUCHDz4F6VLu6oj4nv37sfs2dOJiYmmf/+BRjk+IYRhmFziGRQURJs2bYwdhhBCZFmLFi1LUGZubs4333yb6PoNGjSmQYPGABQoUJDly5O/kUfLlq31/i5fviKrV294z2iFEFmJyd2rvXXr1pw+fdrYYQghhBBCiLeYRItn/NtkFitWjPnz5/Pvv//i6uqKhYX+Ifbt29fQ4QkhhBBCCEwk8fz999/1/s6VKxcXLlzgwoULeuUajUYSTyGESEd+fs/x83ue5HJn5wIpGv0uhMgeTCLxPHr0qLFDSJV169bx22+/8fLlS9zc3JgwYQKVK1c2dlhCCJFqq1evZO7cWUkuHzVqLGPGjDdgREKIzMwkEs+sZN++fcycOZMpU6ZQpUoVVq9ezcCBA/nrr79wdHQ0dnhCCJEq/foNoHXrtgDcvXuboUM/Y/Hi5ZQpUxZAWjuFEHpMLvEcMWIElSpVSjCd0vLly7l27RoLFiwwUmRxVq1aRbdu3ejcuTMAU6ZM4fjx4/z555+pmgIqKio60fvRp4WZmYYoTRSx0bFoY7TvfoKJiY2OJSoqiiglCq029XWb3esPpA7TKq31B/xvPsx0DiwZjo6O6o/mmJgYAEqUKEX58hXUdWJiog0Wj6KQ7t+NQhibxpAf6gxmconnxYsXE50kvlGjRqxatcoIEf0nKiqKGzduMHjwYLXMzMyMevXq4enpmapt/frrAiIjI9M1Po1GQ5QmnPtP7xEWFZau284KQq1C+NXzF6yUnO914sru9QdSh2mVHvWnmMcQrTVcohffi+d+AKxev5z8R52NEoOlmSWaWIv3Tj4NfYIPCQkhNDQkyeU2NrbY2toaMKK0Je6mlCC9r4z44WNtbc0PP0xO9+0ag8klnmFhYVhaWiYot7CwICQk6Q+3Ibx69YrY2NgEl9QdHR158OBBqrZlbm6GuXncbFiKoqDVKpiZafQ+9EmVa7UKiqKoz49fbmlmSW2XWnrluo/Q218nqSmP/zE0RnlKY7cws4RYEtRNbKwWjUaDmZkmyXKNBqw0VtSKV3+Z4ZgM/TpZmluhiY1reUrNey+uXIOVxkp9D2aWY0pLeWpjtzK3wlzRoChxa6TkvRd/K7HpGHtS5UnFri7QxD00xuuk+d9fqX/vmaHRgEVsDJroKFDi9vF2HqUo/9tfSsp120im/Pw/Fzh5/jxJaVS7No3r1H3ndhItT6Ti33VMiqUVMRYWKErq3nuKoqAoYE1sXP2log4y+pjeWZ6eMVpaEm1uobcgJe89/XItiqJ/Hnp7nazM5BJPV1dX9u3bl6DVc9++fZQuXdpIUaW/wYOHZ8ivKkNfpsts0nqZLrvXH0gdplVWq7+4Ue1xLZ13795hw+oN1KvZmDJlXAFwdnY2aD/PtNSfmZmG3MGBKEsWo/j7p3NkietduAh+jk4A3Al6zadnzrCifn1c/3dfe+ecOSkYEGiQWDT5nNB8+hlv7Bzeu6uMWn8vDVN/mYkmnxOazwa9d/0lu20T+lI0ucRz2LBhjBgxAm9vb+rUqQPA2bNn2bt3L/PnzzdqbHnz5sXc3JyAgAC98oCAAJycnFK1LSsrS6QbkxDC2NatW5tgVPuIEUPUx1lpVLuZmQYrKysUc3MUc3OD7LOYrR3FbO0AsDSLa9WqkNeBao6pOyekB425ORorK6ysrN478bSyskIb+ApevMiACDM5c3PM0lB/yTGhvNP0Es+mTZvyyy+/sGTJEg4cOIC1tTVly5Zl1apV1KpV690byEBWVlZUqFCBs2fP0rx5cyCuSf3s2bP07t3bqLEJIcT7iD+qPTFZaVS7ooBiY4Pm8+EJugcYgtn1a7BnN2aDB2NWsZIRIog7fmnUEBnJ5BJPgA8++IAPPvjA2GEk6pNPPuHbb7+lYsWKVK5cmdWrVxMeHk6nTp2MHZoQQqSaKU0QrygKbzTWaOysjbL/kFx51P+/sXMwSgwyK4DIaCaZeGZmbdu2JTAwkAULFvDy5UvKlSvHihUrUn2pXQghRPrTDZIxlPh3frp79zYAd+7cUpM/U0rshQBJPI2id+/ecmldCCFEond+Gjr0M/VxVuojK0RKSOIphBBCZBBv7ydMnz6Z169fY2try/jxkyhZspS6XNdHVqvVsm3bFm7evI6ZmRk2Nrb06tWXSpWq8OzZUyZNGk94eDgtW7amb98BADx69JDFixcwe/b/GevwhEg105kYSgghhMhk5syZQYcOHdm4cRu9evVlxowpesudnQtQuXJV3rx5g6/vMzZu3M7mzTtp3LgJJ04cw9m5ANu2baFTp66sXr2B/fv3EBYWiqIoLFjwEyNHjjLSkQnxfkw+8YyNjcXLy4ugoCBjhyKEECIbefUqkFu3vGjZsg0AH3zQjBcv/PDx8U6wrkYD0dHRREVFoigKYWGh5M+fH4i7AUpkZAQxMTEoioJGY8aOHX/i7l6HQoVcDHpMQqSVySWe06dPZ8uWLUBc0tm7d286duzIBx98wPlk7g4hhBBCpCc/Pz8cHR2xsIjr1abRaHB2dlYHE8VXv34jqlWrQYcOrfjoo9ZcunSRgQPj5kPt0qU7J08eZ8iQT+jevTehoSEcP36Ebt16GPR4hEgPJpd4HjhwADc3NwCOHTuGj48P+/fvp1+/fvzf/0k/GCGEEJnPrVs3efDgPtu372fHjv3UrOnO3LkzAXBycmLevEWsWrUeD4/O/PzzXIYP/5J//rnEd9+NZvLk73j+3NfIRyBEyphc4vnq1Svy5csHwIkTJ2jdujUlSpSgc+fO3Llzx8jRCSGEMGX79++hf/+e9O/fk0uXzhMQEEBMTAwQN1WTn59fotMj/fXXXmrUqImdnR1mZma0bt2Of/65lGC948eP4OJSmDJlyvLzz3P47rvJdOjQkRUrlmT4sQmRHkwu8XRycuLevXvExsZy6tQp6tevD0BERATmBroFmhBCiOypTZt2/P77en7/fT29e/fH1bUsBw/uB+KSxnz58lO4cJEEzytUyIXLly8RHR0NwN9/n9Ib/Q4QHBzMli0bGTAgbrqliIgINBozNBoN4eFhGXxkQqQPk5tOqVOnTnz55Zfky5cPjUZDvXr1APj3338pWbKkkaMTQgiRnYwZM57p06ewZs0qbGxsGD9+krps1qxpNGjQiAYNGtOpUzceP35E//49sLCwwMHBkVGjxulta/HiBQwYMAhr6xwA9Os3kE8/7YOFhSXjxk0w6HEJ8b40igneG+uvv/7i+fPntG7dmgIF4i5pbN++HTs7O/Ue6Vmdv3+w3E9XCCFEpmFmpiF3cCDayZPBNxv2OS1YELPJk3lj54BWm74naI0GnJzs0nWbxmJyLZ6+vr60bt06QXnHjh2NEI0QQgghhNAxuT6eTZs2pXfv3mzevFnm7hRCCCGEyERMLvH8888/qVSpEr/88gsNGjRg2LBh/PXXX0RFRRk7NCGEEEKIbM3kEs/y5cvz7bffcvz4cZYvX46DgwMTJ06kXr16jBs37t0bEEIIIYQQGcLkEk8djUZDnTp1+OGHH1i1ahWFCxdmx44dxg5LCCGEECLbMrnBRTrPnz9n9+7d7Nmzh7t371K1alUmTpxo7LCEEEIIIbItk0s8N27cyJ49e/jnn38oWbIk7du3p127dri4uBg7NCGEEEKIbM3kEs/Fixfz4Ycf8v3336v3bBdCCCGEEMZnconn8ePH0Wg0xg5DCCGEEEK8xeQGF0nSKYQQQgiROZlc4imEEEIIITInSTyFEEIIIYRBSOIphBBCCCEMQhJPIYQQQghhECY3qh3gr7/+Yv/+/fj6+hIdHa23bPv27UaKSgghhBAiezO5Fs81a9Ywbtw4nJycuHnzJpUqVcLe3h5vb28aNWpk7PCEEEIIIbItk2vxXL9+PdOmTaNdu3Zs27aNzz77jCJFijB//nyCgoKMHZ4QQgghRLZlci2evr6+VKtWDYAcOXIQGhoKwEcffcTevXszbL+LFy+me/fuVKlShZo1aya6zrNnzxg0aBBVqlShbt26zJ49m5iYmAyLSQghhBAiMzG5xNPJyUlt2SxYsCBXrlwBwMfHB0VRMmy/0dHRtG7dmh49eiS6PDY2lsGDBxMdHc3GjRuZNWsW27dvZ8GCBRkWkxBCCCFEZmJyl9rr1KnD0aNHKV++PJ07d2bmzJkcOHCA69ev06JFiwzb7xdffAHAtm3bEl1++vRp7t27x6pVq3BycqJcuXKMHDmSuXPnMnz4cKysrDIsNiGEEEKIzMDkEs9p06ah1WoB6NWrF/b29nh6etK0aVM+/vhjo8V15coVXF1dcXJyUssaNGjA5MmTuXfvHuXLlzdabEIIIYQQhmByiefz588pWLCg+veHH37Ihx9+iKIo+Pr6UqhQIaPE5e/vr5d0AurfL1++TPX2LC3N1cexsQqxsVrMzc0wN9fEK9cSG6tgYWGGmdl/5TExWrRaBUtLc+Lf2j46WouiKFhZ/bftuPJYFIUE5VFRsWg0+rH8V67B0vK/nhyKErcdMzMNFhb/lWu1CjExWszNNZib/1cuxyTHJMckxyTHlLWOSatV0GjATAO6gBRAURQ0Gg3xQkRBQVFIWK4oKIBZ/AN6j3KtohAXxvuX/xc7xI8yyWP63x/x6wXS73UyFSaXeDZr1ozTp0/j6OioV/769WuaNWuGl5dXirc1d+5cli9fnuw6+/bto1SpUu8Va1ro3pjxxX05JVw3Jkab5DYSExWV8nJFSapcSbRcq028PO4LN7FyOSY5JjkmOSY5Jsj8x2RmpkFRQKv8b4NvbSexURZJlWuTGJORmnJdgpjmciUuUU5Y/lapAhr+SzTflpbX6a08OUszucRT9yvkbWFhYVhbW6dqWwMGDKBjx47JrlOkSJEUbcvJyYmrV6/qlfn7+wOQL1++VMUlhBBCCJEVmUziOXPmTCCumfznn38mZ86c6rLY2FiuXr2Km5tbqrbp4OCAg4NDusRXtWpVlixZQkBAgNoa+/fff2Nra0vp0qXTZR9CCCGEEJmZySSeN2/eBOJaPO/cuYOlpaW6zMrKCjc3NwYMGJBh+3/27BlBQUE8e/aM2NhY9ZJ+0aJFsbGxoUGDBpQuXZoxY8YwevRoXr58yc8//0yvXr1kRLsQQgghsgWTSTzXrl0LwLhx4/juu++wtbU16P4XLFigdx94Dw8PIO4WnrVr18bc3JwlS5YwefJkPv74Y3LmzEnHjh3VaZiEEEIIIUydRsnIWdVFhvH3D04wuEgIIYQwFjMzDbmDA9FOngy+vsYOx/AKFsRs8mTe2DkkOrgoLTQacHKyS9dtGotJtHgOHz48xesuWrQoAyMRQgghhBBJMYnE087ONH4FCCGEEEKYMpNIPHUj2oUQQgghROZl9u5Vsp6YmBj+/vtvNm7cSEhICAB+fn6EhoYaOTIhhBBCiOzLJFo843v69Cmffvopvr6+REVFUb9+fWxtbVm+fDlRUVFMnTrV2CEKIYQQQmRLJtfiOX36dCpWrMiFCxf07lTUokULzp07Z8TIhBBCCCGyN5Nr8bx8+TIbNmxIMCm7i4sLfn5+RopKCCGEEEKYXIunVqtFq9UmKH/+/Dk2NjZGiEgIIYQQQoAJJp7169dn9erVemWhoaEsXLiQxo0bGykqIYQQQghhconn2LFj+eeff2jbti1RUVGMGjWKpk2b4ufnx6hRo4wdnhBCCCFEtmVyfTwLFCjAzp072bt3L7dv3yYsLIwuXbrQvn17cuTIYezwhBBCCCGyLZNLPAEsLCz46KOPjB2GEEIIIYSIx+QSz7Nnz3Lo0CGePn2KRqOhcOHCtGrVCnd3d2OHJoQQQgiRrZlU4jlx4kQ2b95Mnjx5KF68OIqi4Onpybp16+jZsycTJkwwdohCCCGEENmWySSehw4dYtu2bcyYMYOOHTui0WiAuOmVtm3bxuTJk6lXrx7NmjUzcqRCCCGEENmTyYxq//PPP/nkk0/o1KmTmnQCmJmZ0aVLF/r168fWrVuNGKEQQgghRPZmMonnzZs3adGiRZLLW7ZsyY0bNwwYkRBCCCGEiM9kEs9Xr17h7Oyc5PICBQrw+vVrwwUkhBBCCCH0mEziGR0djaWlZZLLzc3NiY6ONmBEQgghhBAiPpMZXATw888/kzNnzkSXhYeHGzgaIYQQQmQk38gInkdGJrm8gLU1Ba3l5jGZickknu7u7jx8+DDZdWrWrGmgaIQQQgiR0VZ4ezP9wf0kl39XshQTSpcxYETiXUwm8Vy7dq2xQxBCCCGEAX1apAjt8ucH4HZoCP2vXeP3SpUoa2MLxLV4iszFZBJPIYQQQmQvBa1zJLiUXtbGlmq58xgpIvEuJjO4SAghhBBCZG6SeAohhBBCCIOQS+1CCCGESDeafE4oxtix1f+mVHRyAkcng+9ek8/w+8yKJPFMJz4+Pvz666+cO3cOf39/8ufPT4cOHRgyZAhWVlbqerdu3WLq1Klcu3YNBwcHevfuzWeffWbEyIUQQoi0UxRQbGzQfD4czbtXT3dm16/Bnt2YDR6MWcVKRogg7vgVo2TdWYdJJp6XLl1i48aNeHt7s2DBApydndmxYweFCxfOsCmVHjx4gKIoTJ06lWLFinHnzh0mTJhAeHg43377LQAhISEMHDiQunXrMmXKFO7cucP48ePJnTs3H3/8cYbEJYQQQhiCoii80VijsTPOSPKQXHnU/7+xczBKDIoSVw8iaSaXeB44cIAxY8bQvn17bt68SVRUFBCX9C1dujTDEs9GjRrRqFEj9e8iRYrw8OFDNmzYoCaeu3btIjo6mhkzZmBlZUWZMmXw8vJi1apVkngKIYTI8hRFMVqLny7hUxQFrVaSv8zK5AYXLV68mClTpvDDDz9gYfFfXl29enVu3rxp0FiCg4PJk+e/KR2uXLlCzZo19S69N2jQgIcPHxIUFGTQ2IQQQgghDM3kWjwfPnyYaKumnZ0db968MVgcjx8/5o8//lBbOwH8/f0pXLiw3npOTk7qsvhJ6rtYWpqrj2NjFWJjtZibm2FurolXriU2VsHCwgwzs//KY2K0aLUKlpbmaOJ1xImO1qIoClZW/207rjwWRSFBeVRULBqNfiz/lWuwtPzvd42ixG3HzEyDhcV/5VqtQkyMFnNzDebm/5XLMckxyTHJMckxyTGl5ph08ej+bwrHZIpMLvF0cnLiyZMnCRK8y5cvU6RIkVRvb+7cuSxfvjzZdfbt20epUqXUv/38/Pj0009p3bo13bp1S/U+U0L3xowv7k2fcN2YGG2S20hMVFTKyxUlqXIl0XKtNvHyuA9yYuVyTHJMckxyTHJMIMcEyR+Tblu6/5vCMenET1izOpNLPLt168b06dOZMWMGGo0GPz8/PD09mT17NsOGDUv19gYMGEDHjh2TXSd+Quvn50ffvn2pVq0a06ZN01vPyckJf39/vTLd37qWTyGEEEKkjJ/fc/z8ngNw9+5tvf8DODsXwNm5gFFiE4kzucRz0KBBaLVa+vfvT3h4OL1798bKyooBAwbQp0+fVG/PwcEBB4eUjY7TJZ0VKlRg5syZmJnpd6GtWrUqP//8M9HR0Vhaxs039vfff1OiRIlUXWYXQgghBKxevZK5c2fplQ0d+t8UhaNGjWXMmPGGDkskQ6OY6Lj/qKgonjx5QlhYGKVKlcLGxiZD9+fn50efPn0oVKgQs2fP1ks68+XLB8QNNmrdujX169fns88+4+7du4wfP55x48alelS7v3+wzBUmhBDC5Pz88xxOnz7J8+e+rFq1jjJlyqrLzp49zfLli9FqFWJjY/jww48oX75Cots5dOgvLl26gLm5OUWKFGP8+EnqeI/vvhtNUNBrKleuxqhRYwF49eoVEyZ8y88//6o3ODkz0GjAycnO2GGkC5Mb1T5u3DhCQkKwsrKidOnSVK5cGRsbG8LCwhg3blyG7ffMmTM8fvyYs2fP0qhRIxo0aKD+07Gzs+O3337Dx8eHTp06MWvWLIYNGyZTKQkhhBD/88EHzfj11xUUKFBQrzxuruyJjB8/md9/X8+PP/7MsmW/ULp0GSpXrqr3LzIyAk/Py/z221r++GMLZcu6sWzZrwAcOrSf6tVrsmbNJp48ecSDB/cAWLRoHkOGjMh0SaepMbnEc8eOHURGRiYoj4iIYOfOnRm2306dOnH79u1E/8Xn5ubG+vXruXbtGidPnmTQoEEZFpMQQgiR1VStWp38+Z0TXabRaAgJCQYgNDSU3LnzYGlplWC9u3fvUqlSVXLlirvaWbduAw4c2AeAubkFERERaLVaoqOjsLCw5Ny5v7Gzy01FI93xKDsxmbQ+JCTkfxPXKoSGhmJt/d+dE2JjYzl58mSK+2oKIYQQInPRaDRMmTKD774bTY4cOQkODmb69B/VMRPxubmVY/v2rQQE+OPg4MjBg/sJCwvlzZsgWrVqy/Tpk/jkk140avQB+fLlZ9asacydO98IR5X9mEziWbNmTTQaDRqNhlatWiVYrtFoGDFihBEiE0IIIURaxcTEsHr1b0yfPoeqVavj5XWDsWO/ZvXqTdjb2+utW716TXr06M2YMV9hZmZGo0ZNADA3Nydnzpz88MOP6roLFvxEr1798PHxZs2aVQD06zeQMmVcDXZs2YnJJJ5r1qxBURT69evHwoUL9UaJW1paUqhQIZydE2+6F0IIIYRx7N+/h02b1gPQtWt3PvywQ6Lr3bt3B39/f6pWrQ5AuXIVyJfPmbt3b+HuXifB+p06daVTp64AXL9+jfz5nbGxsdVb5+bN67x69Yr69RsybNinTJgwFUVRmDFjCosWLUvPwxT/YzKJZ61atQA4cuQIBQsWTDCVkRBCCCEynzZt2tGmTbt3rpc/vzMBAf48evSQ4sVL4OPjzdOnPhQpUjzR9f39/XFyciIiIoLffltCz576UyrGxMSwePFCpkyZAUBERLh65TQsLCzNxyUSZ7LTKYWHh/Ps2TOio6P1yt3c3IwUUfqS6ZSEEEKYoh9/nM7Zs2cIDAwgd+485MqVi02bdgBxUyStXbsKjcYMRdHSu/cntGzZGoAVK5bg5OSEh0cXAPr2/fh/t72MplWrtvTv/ymaeLcAWrNmJY6OTmoL65kzp1i8eCEAn3/+BXXrNiCzMKXplEwu8QwMDGTcuHGcPHky0eVeXl4GjihjSOIphBBCZA+mlHia3PXo6dOn8+bNGzZv3kyOHDlYsWIFs2bNolixYixevNjY4QkhhBBCZFsm08dT5/z58/z6669UqlQJjUZDoUKFqF+/Pra2tixdupQPPvjA2CEKIYQQQmRLJtfiGRYWps7XmSdPHgIDAwFwdXXl5s2bxgxNCCGEECJbM7nEs0SJEjx8+BCAsmXLsmnTJvz8/Ni4caN6z3QhhBBCCGF4JnepvW/fvrx8+RKA4cOH8+mnn7J7924sLS2ZNWuWkaMTQgghhMi+TG5U+9vCw8N58OABBQsWNKlbZsqodiGEECJ7kFHtWUjOnDmpUKECNjY2/Pbbb8YORwghhBAi2zKpxDMwMJBjx45x+vRpYmNjAYiOjmb16tU0bdqUZcvk9ldCCCGEEMZiMn08L126xJAhQwgJCUGj0VCxYkVmzpzJ559/jrm5OcOHD6djx47GDlMIIYQQItsymT6effr0IX/+/AwePJjt27ezatUqihUrxldffUXr1q2NHV66kz6eQgghRPZgSn08TSbxrF27NuvWraN06dJERERQrVo1Fi5cSPPmzY0dWoaQxFMIIYTIHkwp8TSZPp5BQUHkzZsXgBw5cpAjRw5cXV2NHJUQQgghhNAxmT6eAPfu3VPn8AR4+PAhYWFheuu4ubkZOiwhhBBCCIEJXWp3c3NDo9GQ2OHoyjUaDV5eXkaILv3JpXYhhBAiezClS+0m0+J55MgRY4cghBBCCCGSYTKJp4uLi7FDEEIIIYQQyTCZwUVCCCGEECJzM5kWz+xGozF2BEIIIYQwBFM655vM4CIhhBBCCJG5yaV2IYQQQghhEJJ4CiGEEEIIgzC5Pp7+/v7Mnj2bs2fPEhgYmGBeT1OZx1MIIYQQIqsxucRz7Nix+Pr6MmzYMPLnz2/scIQQQgghxP+Y3OCiatWqsX79esqVK2fsUIQQQgghRDwm18ezYMGCid42UwghhBBCGJfJJZ7jx4/np59+wsfHx9ihCCGEEEKIeEzuUru7uzvh4eHExsaSI0cOLC0t9ZZfuHDBSJEJIYQQQmRvJje4aPz48cYOQQghhBBCJMLkWjyFEEIIIUTmZBItniEhIdja2qqPk6NbTwghhBBCGJZJtHiWK1eO06dP4+joiJubGxqNJsE6iqKg0WhkAnlhEmJjYzE3Nzd2GEIIIUSqmESL5+rVq8mTJ4/6OLHEUxjPli1buHz5MmXLlqVHjx7kyJFDXTZo0CCWLVtmxOgyt+DgYGbPns3jx4/59NNPKVy4MEOHDuXZs2fUqVOHOXPmkDdvXmOHmSVFRUXRpk0bjhw5YuxQspTr169z8OBBAJo3b07lypWNHFHmt3nzZu7cucMHH3xAgwYNmDt3LidOnKBChQqMHTsWe3t7Y4eYqd2/f59///2XsmXLUqFCBb1ly5YtY9CgQUaKTLwPk2jxBPD29qZIkSLGDkO8ZdmyZWzcuJGWLVty8eJFIiMjWblypXpXqerVq/PPP/8YOcrMa9y4cURFRWFmZsbhw4cZOHAgjRs3Jjo6mnnz5lG6dGkmT55s7DCzpKioKCpXrsytW7eMHUqmVqtWLXU2kBMnTvDFF1/QpEkTzMzMOHr0KPPnz6dx48ZGjjLzmjdvHnv37qVevXr8/fffNGnShPv37+Ph4cGuXbtwcnJi9uzZxg4z0zp69CjffPMNJUqU4P79+7Rt25Zp06ZhYRHXbibnkKzHJFo8AVq0aEGhQoWoXbs2derUoXbt2hQoUMDYYWV7mzdvZsWKFZQsWRKA//u//6N3796sWbOGAgUKyGT/73Dq1CkOHDiAoijs3r2bLl26qO/rmTNn0rdvXyNHmLl17NgxyWW67jciedHR0erjxYsXM336dNq1awfAvn37+OWXXyTxTMbOnTtZv349Li4uPHnyhFatWnHq1CmcnJxo2LAhHTp0MHaImdqiRYuYN28eTZo0ISAggK+//poRI0awcOFCLCws5BySBZlM4rl69WouXLjAhQsXmDBhAtHR0RQpUkRNQmvXro2Tk5Oxw8x2AgMDKVGihPr3V199hY2NDb169WLNmjVy4n+H8PBwbGxsALCxsdH7MVWkSBFev35tpMiyhocPHzJ06FC1hT2+6OhoJk2aZISospb4n9HHjx/TqlUr9e+WLVtKi/s7hIaGUqhQIQAKFSqEmZkZDg4OAOTNm5fIyEhjhpfpPXnyhCZNmgDg6OjIihUrGDFiBMOGDWPRokVGjk68D5NJPHXJJUBkZCT//POPmohu376dmJgYSpYsyd69e40cafaSP39+Hjx4QKlSpdQyXX+c3r1767WmiITy5s2rztowZcoUvWWBgYHkzJnTSJFlDW5ubhQrVozWrVsnWBYVFcXEiRONEFXWEhsby9GjR1EUBXNzc7RarbpMq9USExNjxOgyv1KlSrFixQo8PDzYsmUL+fLl48iRI7Ro0YKjR49KF7F3sLGx4cWLF+qPR0tLSxYuXMjIkSMZMmSItHhmQSZ3y0wAa2tr6taty9ChQxkxYgR9+vQhV65cPHjwwNihZTtNmzZNNNkfNGgQPXv2lMTzHbp160ZgYCCAenlT5+DBg7i7uxsjrCyjX79+6sDDt1lYWDBz5kwDR5T1ODo68sMPPzB9+nSsrKy4fv26uuzq1asULVrUiNFlfqNHj2bFihU0atSIZ8+e8cMPP/DNN9/QqlUrRo0axYgRI4wdYqbm7u6e4BxiaWnJ/PnzyZEjh7QYZ0EmM7gI4low/v33X86fP8/58+e5evUqBQoUwN3dnZo1a1KrVi31kofIfC5fvkyNGjWMHUaWJfWXNlJ/qefr60tYWJjeFQ2RkFarJTg4WP0R9PDhQ+7cuUOFChUoXLiwkaPL3AIDAwkNDU20ZTgmJgZPT0/5AZ7FmEzi2bdvX65evUrhwoXVRNPd3T3Rvl0ic5LRiWkj9Zc2Un9p1759e3bv3m3sMLIsqb+UkR+JWZvJXGq/fPky9vb21KlTh7p161KvXj1JOrMYE/kNZDRSf2kj9Zd2Pj4+xg4hS5P6S5nPPvvM2CGINDCZwUUXL17k0qVLXLhwgeXLl/P1119TokQJ3N3dqVWrFrVq1VJHEorMSUa4p43UX9pI/aWd1GHaSP2J7MBkEs9cuXLRqFEjGjVqBMTds/3y5cucP3+eFStWMGrUKIoXL86ePXuMHKkQQggh3pdcncjaTOZS+9ty5cqFvb099vb25MmTBwsLC+7fv2/ssIQQQgiRBp6ensYOQaSBybR4arVarl+/ro5o/+effwgPD8fZ2ZnatWszceJEdZ5PkTnJr9i0kfpLG6m/tJM6TBupv6Tt2LEDNzc33Nzc1DIvLy/u3LnDRx99ZMTIRGqZTOJZs2ZNwsPDcXJyonbt2owbN47atWvLHHNZyPLly40dQpYm9Zc2Un9pJ7d/TBupv6QtWLCArVu36pU5Ozvz+eefS+KZxZjMdEobN26kdu3aerdnFJmHn58fP//8Mzdu3CA0NFRv2ZEjR4wUVdYh9Zc2Un/vJ6V106xZswyOxDTs2LGDXbt24efnh7OzMx06dMDDw8PYYWUJNWrU4PLly3pliqJQo0YNmQYtizGZFs/u3bsbOwSRjFGjRpEzZ04+++wzuc3je5D6Sxupv/czffr0d66j0Wgk8UyBhQsX8ueff9KrVy9cXFx49uwZCxYswNvbW+5elAKFCxfmwoUL1KpVSy27dOkSLi4uRoxKvA+TafEUmVv16tU5d+4cVlZWxg4lS5L6SxupP8N4/vw5BQoUMHYYmVKDBg1Ys2YNJUuWVMsePHhA3759OX36tBEjyxr27NnDtGnT6NevH8WLF+fx48esWbOGsWPHyqX2LMZkWjxF5lamTBn8/f3llqXvSeovbaT+DKNt27Zy2TMZb98eU1rrUq5du3bkypWLDRs2sHfvXgoVKsS0adNo3ry5sUMTqSQtnsIgVqxYwe7du+nVqxeOjo56y+Qy3btJ/aWN1J9hVKtWTaa6ScIff/zBzZs3GT16NHnz5iUwMJB58+ZRrlw5evXqZezwhDAYSTyFQTRt2jTRco1GI4M7UkDqL22k/gxD7nefNHd3d0JDQ1EUBWtrayIjI9FoNNja2uqtd+HCBSNFmHUMGjSIZcuWGTsM8Z4k8RRCCJEuJPFMWkoTyviDZ0Ti5H2WtUkfT2EwWq2Wq1ev8vz5cwoWLEilSpUwMzPZm2elO6m/tJH6E8YkCWX6kfayrE0ST2EQ3t7eDB06FF9fX/Lnz8+LFy8oUKAAS5YsoUiRIsYOL9OT+ksbqT/DkIQgadHR0SxevJjdu3cTGBjI5cuXOXnyJN7e3tLHM5WGDBli7BBEGsjPfWEQU6dOpWHDhpw9e5b9+/dz9uxZGjduzJQpU4wdWpYg9Zc2Un/pR1EUXrx4keiyqVOnGjiarGPOnDlcvnyZKVOmoNFoAChVqhQbN240cmRZi5+fH3Xr1sXPz8/YoYj3JH08hUHUrl2bU6dO6c2jGBUVRcOGDTl//rwRI8sapP7SRuov7UJCQpg6dSr79u3DwsKCK1eucPjwYW7cuMHIkSONHV6m16hRI3bv3k2ePHmoVauW2uezZs2aXLp0ycjRZX4vXrxg9OjRnD9/HisrK6Kjo3F3d2fOnDk4OzsbOzyRCtLiKQwid+7cPHnyRK/M29sbOzs7I0WUtUj9pY3UX9r98MMPxMbGsmfPHiwtLQGoUqUK+/btM3JkWYNWq01w16zQ0FBsbGyMFFHWMn78eAoWLMiZM2e4evUqp0+fxsXFhfHjxxs7NJFK0sdTGESPHj0YOHAgffr0wcXFhadPn7Ju3Tp69+5t7NCyBKm/tJH6S7tTp05x5MgRcuTIoV4qzpcvHwEBAUaOLGuoU6cOP//8M2PGjFHLli9fTr169YwYVdbh6enJ33//jbW1NQCOjo5MmjSJBg0aGDkykVqSeAqDGDBgAA4ODuzatUu9rd7IkSPx8PAwdmhZgtRf2kj9pZ2VlRUxMTF6Za9evSJPnjxGiihrGT9+PEOHDqVOnTqEhITQsGFDChYsyJIlS4wdWpZQrFgxfH19KV68uFrm6+tL0aJFjReUeC/Sx1MIIcQ7TZ06leDgYCZOnEizZs04ffo0kydPJnfu3IwdO9bY4WUZ165d4+nTpzKlVyotWbKErVu30rNnTwoWLMizZ8/YtGkTnTt3pnTp0up6cieyzE8ST5Fh7t69S5kyZQC4detWkuu5ubkZKqQsReovbaT+0ldYWBjjxo3j0KFDaLVazM3NadasGbNmzSJXrlzGDi/Tmzx5MpMnT05QPnXqVCZOnGj4gLKYpO4+Fp/ciSxrkMRTZJj4921O6uSu0Wjw8vIyZFhZhtRf2kj9ZYzAwEC1xc7JycnY4WQZSd1tJ/4IdyGyA+njKTKM7qQPybc4icRJ/aWN1F/6ioyMxNzcHAcHBxwcHDh06BAWFhY0adLE2KFlaroWOK1Wy9GjR/Um2ZeZFUR2JC2ewiDkMlPaSP2ljdRf2vXs2ZMxY8ZQtWpVFi1axMaNGzE3N6dr164MHz7c2OFlWrpLxL6+vhQsWFAtNzMzw8nJicGDB0vyngJNmzZVZ1N4m1xez1ok8RQGIZeZ0kbqL22k/tKudu3a/P3332rfziVLlmBra0uPHj04fvy4scPL9EaOHMn8+fONHUaWdfjwYb2/X7x4wYYNG/Dw8GDgwIFGikq8D7nULjKUXGZKG6m/tJH6Sz+xsbFoNBoeP36MoijqwK2goCAjR5Y1/Pjjj8TExGBhEXfala4KqdO8efMEZQ0bNmT06NGSeGYx0uIpMpRcZkobqb+0kfpLP5988gnFihXj5cuX5M+fn0mTJuHr60v37t05ceKEscPL9KSrQvqLioqibt26XL582dihiFSQxFMYhFxmShupv7SR+ks7Hx8f/u///g9LS0vGjBmDg4MD+/fv58aNG4waNcrY4WV60lUhbd7uxxkREcGePXt48+YN69atM1JU4n1I4imEEEJksJo1a3LhwgW8vb355JNPOHr0KKA/7ZdI2tvzeNrY2FC+fHm+/PJLvasZIvOTPp7CIKKioli1ahUXLlzg1atXen3ttm/fbsTIsgapv7SR+ns/J06coHHjxkDyI4flbjHvVqlSJaZOncrLly/VOvX19SV37txGjixr0CXqIuuTe3UJg5g5cya7du2iUaNGPHz4EA8PD8LDw+WElUJSf2kj9fd+5syZoz6ePn16ov9mzJhhxAizjmnTphEcHIydnR0jRowA4MqVK7Rv397IkWU9y5YtM3YIIi0UIQygQYMGire3t6IoilKjRg1FURTl3r17Su/evY0ZVpYh9Zc2Un8iK5g0aZKxQ8gSqlWrZuwQRBpIi6cwiPDwcAoXLgyAtbU1kZGRlCpVihs3bhg5sqxB6i9tpP7Sh1ar5cqVK/z111/8+++/aLVaY4dkUnbt2mXsELIERYamZGnSx1MYRLFixbh16xZubm64urry+++/Y2dnR968eY0dWpYg9Zc2Un9p5+3tzdChQ/H19SV//vy8ePGCAgUKsGTJEooUKWLs8EyCJFQpU7NmTWOHINJARrULgzhz5gw5cuSgRo0aXLt2jW+++YbQ0FCmTJmS6MTAQp/UX9pI/aXdZ599RunSpfnqq6+wsrIiKiqKn3/+mTt37rBixQpjh2cSkrrDlhCmRBJPIYQQ71S7dm1OnTqFlZWVWhYVFUXDhg05f/68ESMzHZJ4Ji0mJoalS5eya9cu/Pz8cHZ2pn379gwePBhLS0tjhydSQS61iwwTEhKCra2t+jgpunWEPqm/tJH6S1+5c+fmyZMnlC5dWi2T244KQ5k+fTqenp6MHDkSFxcXnj59yvLlywkICGDSpEnGDk+kgrR4igwT/9e7m5sbGo1Gb7miKGg0Gry8vIwRXqYn9Zc2Un/pa+XKlaxevZo+ffqoJ/5169bRu3dvuVd2OmnXrh179uwxdhiZUp06ddi9ezf58uVTy/z8/OjQoYO0uGcx0uIpMszevXvVx8lNPi0SJ/WXNlJ/6WvAgAE4ODiwa9cunj9/ToECBRg5ciQeHh7GDi1Le/bsGYUKFQKQpDMZuXLlImfOnAnKbGxsjBSReF/S4ikyXExMDD169OCPP/7A2tra2OFkOVJ/aSP1JzKrqKgoqlSpIq3uKbBlyxYOHz7MiBEjKFSoEE+fPuWXX36hWbNmtGnTRl1Pus5kftLiKTKchYUF/v7+xg4jy5L6Sxupv/Tj7e3NrVu3CA0N1SuXVs+kJde/ODIyUqZQSqEJEyYAcbdx1Wg0ar0dP36ciRMnSteZLERaPIVBbNiwgdu3bzNq1Cj5RfoepP7SRuov7VavXs2cOXNwcXHRu+Sp0WjkfvfJSKx/sY4kSyn39OnTFK3n4uKSwZGItJLEUxiEu7s7oaGhKIqCjY0NZmb/3TTrwoULRowsa5D6Sxupv7Rr0KAB8+bNo1atWsYOJUupU6cOs2fP1psNQCcyMpIPP/xQEs93kO4ypkUutQuD+OWXX4wdQpYm9Zc2Un9pp9VqqVGjhrHDyHIqVKiAv78/jRs3TrAsKipKLrWngHSXMS3S4imEEOKdfv31V3LlykX//v2NHUqWcvfuXSwsLChRokSiy58+fSqXh1NAusuYDkk8hcE8ffoUT09PXr16pfcrv2/fvkaMKuuQ+ksbqb+08fDw4N69e+TNmxcnJye9ZdLHU2Q06S5jOuRSuzCIv/76izFjxlCyZEnu3btH6dKluXv3LtWrV5cTfwpI/aWN1F/a9evXz9ghmIxBgwaxbNkyY4eRpUh3GdMhiacwiEWLFjFr1izatm2Lu7s7O3bsYOvWrdy/f9/YoWUJUn9pI/WXdh07dnznOpMnT2by5MkZH0wWd+nSJWOHkOXIoDbTYfbuVYRIu2fPnulN8gtxl+527dplpIiyFqm/tJH6Mwypz5SRHm7v5+nTp+zZs4e1a9eyZs0a9Z/IWqTFUxiEvb09r1+/Jm/evDg7O+Pl5YW9vT2RkZHGDi1LkPpLG6k/w5CEKmWGDBli7BCyHOkuYzqkxVMYRJs2bThz5gwAXbp0oU+fPnh4eNC2bVsjR5Y1SP2ljdSfYSQ1Ubr4j5+fH3Xr1sXPz8/YoWQpuu4yO3bsIGfOnOzYsYMpU6ZQsWJFY4cmUklGtQujuHz5MiEhITRq1EhOVu9B6i9tpP4yRvXq1fnnn3+MHUam9OLFC0aPHs358+exsrIiOjoad3d35syZg7Ozs7HDy/SqV6/O5cuX0Wg0uLu7c/HiRWJiYmjcuLH6o1JkDdLiKQxi3759REVFqX/XqFGDxo0by0k/haT+0kbqTxjb+PHjKViwIGfOnOHq1aucPn0aFxcXxo8fb+zQsoT/b+/+Y6I+7ziAv0/Ou3CYCAG9AclaG88wh5QenJTNVgPtFiywc90airFboogY6Y4JXW20YH8YFldTE0iuKkl/GBwb04ou6x+Wtplu2IqXSgzVq+WP5oRjR0oyuJXjCPuj6dUronf3wPe5R96vxAS+3B/vvEObh+/3+T6fb7fLAAhtl/nPf/7D7TIK4sKTNNHa2oqf/vSn2Lt3L9/ojAH7E8P+tJGRkSE7QtxyuVzYv38/UlNTAQCpqalobGzEp59+KjmZGrhd5t7BR+2kmb6+PnR1deHvf/87EhMTUV5eDrvdjvvuu092NCWwPzHsb37cvHmTC84I/PKXv8ShQ4dw//33h64NDAxg9+7dOHnypLxgiuJ2GXVx4Umam5qawj//+U+8+eabuHjxIvr7+2VHUgr7E8P+5k4gEMCDDz7IDiPgdDrR2dmJyspKpKen4+bNm+jo6MCTTz6JlStXhj5XXFwsMWX8CgQC0Ol0WLx4ceja5OQkpqenYTAYJCajaPE4JdJUIBBAd3c33n33XfT29sJms8mOpBT2J4b9RW9sbGzWn01MTPAIpQj95S9/AQAcP3487HpHR0foa51Ox4XnLLZu3Yq6ujpYrdbQtStXruDw4cM8y1MxvONJmrh06RK6urrwj3/8A8uWLUN5eTl+8YtfID09XXY0JbA/MewvdllZWbM+ypyenoZOp+MdT5p3a9euRU9PT9iM9qmpKRQWFnJWu2J4x5M0sWvXLpSWlqKtrQ05OTmy4yiH/Ylhf7FLTk7GH//4x7DHwd+amJjAE088ISEVLTQGgwF+vx9LliwJXfP7/WGP3kkNXHiSJs6fPw+9/s6/bpzzPDv2J4b9xe7HP/4xfD4f1q9fP+NngUCAj9ojVFRUNOud4/fff1/jNOopLCzEgQMH0NTUBIPBgEAggObmZhQUFMiORlHio3aKGzx8Wgz7E8P+bs/tdkOv12PFihW3/bnH40FmZqbGqdRz7ty5sO+Hh4dx4sQJ2O12bN26VVIqdfh8PlRXV2NgYABmsxlerxcrVqyA0+nEsmXLZMejKPCOJ8UN/g0khv2JYX+3Z7FY7vhzLjoj89hjj8249sgjj6ChoYELzwikpaWhs7MTfX19oT921qxZw6OUFMQD5Clu8H8gYtifGPYXue3bt8uOcE8wm81wu92yYyhDp9MhJycHy5cvR05ODv+bVRTveBIRUVQ4/Sl639/H+fXXX+Ps2bPIysqSlEhdVVVV3BajMC48iYgoKtyWEL1XX3017PukpCSsXr0aL774oqRERHJw4Ulxg2P3xLA/Mewvcjt27JAdQTnd3d2yI9wz+IeP2vhWO0nFOc9i2J8Y9hc9r9cLr9cLs9kMs9ksO46Sjhw5wn2ytGBx4UnScM6zGPYnhv1FZ3h4GA0NDbh48SIMBgMmJydhs9lw8OBBLkCjxKO7YnPp0iWcPn069IdPeXk5x94qiG+107waGxub9d9///tfPjK5C/Ynhv3NnRdeeAHp6em4cOECrly5gvPnzyMzMxMvvPCC7GjK4e9d9Nrb21FdXY2EhATk5+dDr9dj586daG9vlx2NosQ9njSv8vPz7zrnmWbH/sSwv7njcrnwr3/9C0ajEQCQmpqKxsZGrFu3TnIy9eTn58uOoJxjx46hra0Nubm5oWt2ux0OhwOVlZXyglHUuPCkecU5z2LYnxj2N3fuu+8+DA4O4v777w9dGxwcxA9/+EN5oRR19OhR2RGUMz4+juzs7LBrq1evht/vl5SIYsWFJ80rznkWw/7EsL+587Of/Qzbtm1DZWUl0tPTcfPmTXR0dODJJ58MO6OyuLhYYsr4FQwG8cYbb6Crqyu0R7GsrAzV1dVYvHix7Hhxr6KiAq2trdi1axcSEhIwNTUFp9OJiooK2dEoSny5iOYV5zyLYX9i2N/cKSoquutndDrdjIPS6Rv79++Hy+XC9u3bkZmZCY/Hg6NHjyI3NxeNjY2y48U9u90Ot9sNk8mE5cuXY3h4GH6/H6tWrQr73KlTpyQlpEhx4UlERDTPHn74YZw5cwbLli0LXfN6vSgvL8fFixclJlNDpAvKTZs2zXMSEsVH7aS57du348iRI7JjKIv9iWF/JIPJZEJiYuKMa0lJSZISqSMYDOL69etwOByhl9tIXVx4kuY451kM+xPD/mJTVFQ06ykAfLx+dzU1Ndi9ezdqa2uRkZEBj8eD1tZW1NTUYGxsLPS5JUuWSEwZn/R6PU6ePImGhgbZUWgOcOFJmuPuDjHsTwz7i833z+scHh7GiRMnYLfb5QRSzL59+wAAH330EXQ6Xej38MMPP8SLL74YOt6LAw1ur6SkBF1dXfx9uwdw4Uma45xnMexPDPuLzWOPPTbj2iOPPIKGhgZs3bpVQiK18K6wmKGhIezduxdvvfUW0tPTsWjRd/NvWlpaJCajaHHhSZryer0oLCwMHSdC0WF/Ytjf3DKbzXC73bJjxL1gMAiHw4Hjx49zj2KMsrOzZ5zjSWriwpM0wTnPYtifGPYn7vt37L7++mucPXsWWVlZkhKpQ6/Xw+fzyY6htF27dsmOQHOExymRJrZt24a0tDQ0NDQgNTUVIyMj+NOf/oTh4WG0tbXJjhf32J8Y9ifu++d4JiUlYfXq1XA4HEhPT5eUSh0nTpzAtWvXUF9fzxeIIuR2u2GxWAAAn3322ayf4x8/auHCkzSRl5cXNucZ+OaOybp16/iWcQTYnxj2R7LZbDaMj49jenoaSUlJYXsUP/74Y4nJ4tdDDz0El8sFYPbFJV/IUg8ftZMmOOdZDPsTw/7m1pEjR7B9+3bZMZTS2toqO4Jyvl10Ane+40lq4R1P0oTT6URnZ+dt5zyvXLky9DnOeb499ieG/c0tq9WKy5cvy45BRAriwpM0wTnPYtifGPY3t259BEqR83g8cLlc+Oqrr8LOk33mmWckplKD1+vF66+/jqtXr2J8fDzsZ/zvVi1ceBIRUVSqqqpw9OhR2TGU8t577+G5557DAw88gM8//xwrV66E2+2G1WrFO++8Izte3NuyZQsSExNRVlY2Y/To7c6YpfjFhScREdE8Ky0txc6dO7Fx40bYbDZ88skn6OzsxI0bN/CHP/xBdry4Z7Va0dPTA4PBIDsKCeLLRaQJznkWw/7EsD9xwWAQb7zxBrq6ukIH8JeVlaG6uhqLFy+WHS/u3bx5EyUlJWHX7HY71q9fz4VnBCwWC3w+HzIyMmRHIUFceJImOOdZDPsTw/7Evfrqq3C5XPjd736HzMxMeDweHD16FCMjI2hsbJQdL+4lJydjdHQUKSkpMJvN6O/vR3JyMiYmJmRHi1u3/lH4+OOPo6amBps3b0ZqamrY5/hSoFr4qJ2k+fLLL9HQ0IA///nPsqMoif2JYX/Refjhh3HmzBksW7YsdM3r9aK8vBwXL16UmEwNBw8exI9+9COUlpbizTffREtLCxISEvDzn/8cL730kux4cYkvBd6beMeTpOGcZzHsTwz7i47JZJrxUofJZEJSUpKkRGppaGgIff3b3/4Wa9aswdjYGB599FGJqeJbd3d36OuhoSEYjUakpKSEro2OjvKOsYK48CRNcM6zGPYnhv2Jq6mpwe7du1FbW4uMjAx4PB60traipqYGY2Njoc9xHOTtBQIB6HS60H7YvLw8TE5OYnJyki/MRKC2thYvv/xy2MJzcHAQTU1N6OjokJiMosVH7aQJznkWw/7EsD9xty7SdTpd2DmU337P8YWz27JlC+rq6mC1WkPXent7cfjwYbz99tsSk6khLy8Pvb29Ydemp6dhs9k49lYxvONJmrj1kQlFj/2JYX/iuI9OzLVr15Cbmxt2LTc3l6MgI7R06VL4fD6kpaWFrvl8PphMJompKBaLZAeghefIkSOyIyiN/Ylhf9ELBoNwOBxIS0tDZmbmHf/R7RkMBvj9/rBrfr+fR1FFaMOGDdizZw+8Xi+Ab15s27dvX0QvIFF84cKTNOd0OmVHUBr7E8P+oqfX6+Hz+WTHUFphYSEOHDiAQCAA4Js9n83NzSgoKJCcTA2///3vYTQasX79ejz44IPYsGED9Ho96uvrZUejKHGPJ2mOc57FsD8x7C82J06cwLVr11BfX88XiGLg8/lQXV2NgYEBmM1meL1erFixAk6nM+yIKrqzkZEReDweZGZmzjjPk9TAPZ6kufz8fNkRlMb+xLC/2Bw6dAjj4+Po6OhAUlISFi367oHZxx9/LDGZGtLS0tDZ2Ym+vr7QwmnNmjWzTtSi20tNTeWCU3G840lERHd1p8Xl2rVrNUyivt7eXuTl5cmOQSQFF56kCc55FsP+xLA/iidWqxWXL1+WHYNICj5qJ01wzrMY9ieG/c0Nj8cDl8uFr776Kuwcz2eeeUZiKiJSCe94kiY451kM+xPD/sS99957eO655/DAAw/g888/x8qVK+F2u2G1WvHOO+/IjqcUvuBGCxnveJImOOdZDPsTw/7EtbS0oLm5GRs3boTNZsO7776Lzs5O3LhxQ3Y05XDRSQsZ73iSJv7617/i3LlzM+Y8FxcXo6SkJPQ5HtNye+xPDPsTZ7Va0dvbC51OB5vNhk8++QTBYBDr16/HhQsXZMdTwqVLl3D69OnQPuPy8nLYbDbZsYg0xYUnaYJznsWwPzHsT1xRURH+9re/ISUlBaWlpTh48CCSk5NRVlbGWdkRaG9vx2uvvYaysjJkZGRgcHAQZ8+eRV1dHSorK2XHI9IMH7WTJjjnWQz7E8P+xJWUlODChQsoLS3Fr371K2zZsgUJCQnYuHGj7GhKOHbsGNra2sLmtdvtdjgcDi48aUHhHU+ad8FgEE8//TSOHz8Oo9EoO45y2J8Y9jc/ent7MTY2hkcffZSHoEegoKAAFy5cgF7/3f2eyclJrFu3ji+40YLCWe007zjnWQz7E8P+5kYgEMDk5GTo+7y8PPzkJz8Ju0azq6ioQGtrK6ampgAAU1NTcDqdqKiokJyMSFu840ma4JxnMexPDPsTt2XLFtTV1cFqtYau9fb24vDhw3j77bclJlOD3W6H2+2GyWTC8uXLMTw8DL/fj1WrVoV97tSpU5ISEmmDC0/ShM1mw/j4OKanpznnOQbsTwz7E7d27Vr09PSEdTc1NYXCwkJ2GIFIF5SbNm2a5yREcvHlItJEa2ur7AhKY39i2J84g8EAv98fdsfY7/dz5GgEgsEgrl+/DofDwX3GtODxjicREd1VQ0MDFi9ejKamJhgMBgQCAezfvx//+9//cOjQIdnx4l5BQQH+/e9/h90xJlqIuPAkzXDOsxj2J4b9ifH5fKiursbAwADMZjO8Xi9WrFgBp9MZNoqUbq+pqQm5ubmw2+2yoxBJxYUnaYJznsWwPzHsb25MT0+jr68PHo8HmZmZWLNmDY9SitCOHTtw/vx5WCwWpKenh935bGlpkZiMSFvc40ma4JxnMexPDPubGzqdDjk5OZicnEROTo7sOErJzs5Gdna27BhE0vGOJ2mCc57FsD8x7G9uWa1WXL58WXYMIlIQ73iSJpKTkzE6OoqUlBSYzWb09/cjOTkZExMTsqMpgf2JYX8kg9vthsViAQB89tlns34uKytLq0hE0nHhSZrgnGcx7E8M+5tbfFAWmaeeegoulwsAZn2pSKfTob+/X8NURHLxUTtJwTnPYtifGPZHRCQHF56kiUAgAJ1OF3bY9OTkJKanp2EwGCQmUwP7E8P+5salS5dw+vRpeL1emM1mlJeXw2azyY5FRArhSbakia1bt6Kvry/s2pUrV7Bt2zZJidTC/sSwP3Ht7e2orq5GQkIC8vPzodfrsXPnTrS3t8uOpgSv14s9e/agvLwcxcXFYf+IFhLu8SRNXLt2Dbm5uWHXcnNz77jhnr7D/sSwP3HHjh1DW1tbWI92ux0OhwOVlZXygimivr4eiYmJqKqqQmJiouw4RNJw4Uma4JxnMexPDPsTNz4+PuMcytWrV8Pv90tKpJarV6+ip6eHWztoweOjdtJEYWEhDhw4gEAgAOCbPXfNzc0oKCiQnEwN7E8M+xNXUVGB1tZWTE1NAQCmpqbgdDpRUVEhOZkaLBYLfD6f7BhE0vHlItIE5zyLYX9i2J84u90Ot9sNk8mE5cuXY3h4GH6/H6tWrQr73KlTpyQljD/vv/9+6OuBgQGcOXMGmzdvRmpqatjnuM+TFhIuPEkznPMshv2JYX9iIl1Qbtq0aZ6TqKOoqOiun9HpdGELVKJ7Hfd4kmY451kM+xPD/mIXDAZx/fp1OBwOGI1G2XGU0d3dHfp6aGgIRqMRKSkpoWujo6OcnkULDvd4kuaqqqpkR1Aa+xPD/qKn1+tx8uRJvowloLa2Fl6vN+za4OAgnn32WUmJiOTgwpOIiO6qpKQEXV1dsmMo64svvpgxkz0rKws3btyQlIhIDj5qJ81xW7EY9ieG/cVmaGgIe/fuxVtvvYX09HQsWvTdfYuWlhaJydSwdOlS+Hw+pKWlha75fD6YTCaJqYi0x4Unac7lcsmOoDT2J4b9xSY7O3vGOZ4UuQ0bNmDPnj145ZVXQicrNDY2RvQCEtG9hG+1k2Y451kM+xPD/kimsbExPP/88zh37hyMRiMCgQCKi4vR3NwcNtiA6F7HhSdpor29Ha+99hrKysqQkZGBwcFBnD17FnV1dRy3FwH2J4b9xcbtdsNisQDAHceLfn/vIs1uZGQkdKTX98/zJFoIuPAkTRQVFeHQoUNhc54//fRTOBwOfPDBB/KCKYL9iWF/sXnooYdCWxNmW1zqdDr09/drGYuIFMY9nqQJznkWw/7EsL/Y3Lof9k53PImIIsXjlEgTnPMshv2JYX9ERPGBj9pJE5zzLIb9iWF/4rxeL15//XVcvXoV4+PjYT/jyEciihQftZMmfvOb38iOoDT2J4b9iauvr0diYiKqqqqQmJgoOw4RKYoLT5p3nPMshv2JYX9z4+rVq+jp6YHBYJAdhYgUxj2eNO8451kM+xPD/uaGxWKBz+eTHYOIFMc7nqSJb+c82+122VGUxP7EsL/Y3Lp38/HHH0dNTQ02b9484/zJ4uJiraMRkaL4chFpYseOHTh//jwsFgvnPMeA/Ylhf7GJZJyjTqfjy0VEFDHe8SRNcM6zGPYnhv3Fpru7O/T10NAQjEYjUlJSQtdGR0cxMTEhIxoRKYp3PImI6K5+/etf4+WXXw6bYNTf34+mpiZ0dHRITEZEKuEdT5o3nPMshv2JYX9z64svvpjRVVZWFm7cuCEpERGpiAtPmjdPPfVUaOTebC91cM7z7NifGPY3t5YuXQqfz4e0tLTQNZ/PB5PJJDEVEamGj9qJiOiuXnrpJXz55Zd45ZVXYDab4fV60djYiB/84AdoamqSHY+IFMGFJxER3dXY2Bief/55nDt3DkajEYFAAMXFxWhubsaSJUtkxyMiRXDhSZrgnGcx7E8M+5s7IyMj8Hg8yMzMnHGeJxHR3XCPJ2mCc57FsD8x7G/upKamcsFJRDHjwpM0wTnPYtifGPZHRBQfOKudNME5z2LYnxj2R0QUH7jHk+bNrXvnBgYGcObMGc55jgL7E8P+iIjiDxeeNG8451kM+xPD/oiI4g8XnqSJO815NpvNEpOpgf2JYX9ERPGBezxJE7W1tfB6vWHXBgcH8eyzz0pKpBb2J4b9ERHFBy48SROc8yyG/Ylhf0RE8YELT9LEt3Oeb8U5z5Fjf2LYHxFRfODCkzSxYcMG7NmzJ/S40+v1Yt++fRG9AELsTxT7IyKKD3y5iDTBOc9i2J8Y9kdEFB+48CRNcc6zGPYnhv0REcnFhScRERERaYJ7PImIiIhIE1x4EhEREZEmuPAkIiIiIk1w4UlEREREmuDCk4iIiIg0wYUnEREREWmCC08iIiIi0gQXnkRERESkif8DFJ6fF/9xYTgAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"upsample\")\n", "upsample_slice_df = user_intersting_clips_3p5[\n", " (user_intersting_clips_3p5[\"task\"] == \"upsample\")\n", "].copy()\n", "if upsample_slice_df.shape[0] > 0:\n", " get_preference_counts(\n", " upsample_slice_df,\n", " title_name=\"upsample\",\n", " )" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:11.395977Z", "iopub.status.busy": "2025-09-24T12:35:11.395724Z", "iopub.status.idle": "2025-09-24T12:35:14.349334Z", "shell.execute_reply": "2025-09-24T12:35:14.348886Z", "shell.execute_reply.started": "2025-09-24T12:35:11.395963Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is upload\n", "len pos models: 4155\n", "differing counts: 1522\n", "chirp-auk-engine-b_win_over_chirp-auk-engine-b, win ratio 1.000, (1.000, 1.000), counts 10, total 10.\n", "chirp-auk-t1_win_over_chirp-auk-t1, win ratio 1.000, (1.000, 1.000), counts 144, total 144.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 32, total 32.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 412, total 412.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 102, total 102.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1, win ratio 0.437, (0.353, 0.521), counts 59, total 135.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1, win ratio 0.409, (0.325, 0.493), counts 54, total 132.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1, win ratio 0.477, (0.355, 0.598), counts 31, total 65.\n", "chirp-crow-t1_mask_control_slider_win_over_chirp-crow-t1, win ratio 0.661, (0.618, 0.704), counts 308, total 466.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1, win ratio 0.476, (0.395, 0.557), counts 70, total 147.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1, win ratio 0.530, (0.410, 0.651), counts 35, total 66.\n", "chirp-crow-t1_tag_cfg_05_win_over_chirp-crow-t1, win ratio 0.531, (0.422, 0.640), counts 43, total 81.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1, win ratio 0.506, (0.395, 0.618), counts 39, total 77.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1, win ratio 0.491, (0.361, 0.621), counts 28, total 57.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1, win ratio 0.480, (0.367, 0.593), counts 36, total 75.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1, win ratio 0.426, (0.302, 0.550), counts 26, total 61.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1, win ratio 0.351, (0.227, 0.475), counts 20, total 57.\n", "chirp-crow-t1_win_over_chirp-crow-t1, win ratio 1.000, (1.000, 1.000), counts 1523, total 1523.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_10, win ratio 0.563, (0.479, 0.647), counts 76, total 135.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_30, win ratio 0.591, (0.507, 0.675), counts 78, total 132.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_480, win ratio 0.523, (0.402, 0.645), counts 34, total 65.\n", "chirp-crow-t1_win_over_chirp-crow-t1_mask_control_slider, win ratio 0.339, (0.296, 0.382), counts 158, total 466.\n", "chirp-crow-t1_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 0.524, (0.443, 0.605), counts 77, total 147.\n", "chirp-crow-t1_win_over_chirp-crow-t1_n_tag_3, win ratio 0.470, (0.349, 0.590), counts 31, total 66.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_05, win ratio 0.469, (0.360, 0.578), counts 38, total 81.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_20, win ratio 0.494, (0.382, 0.605), counts 38, total 77.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_100, win ratio 0.509, (0.379, 0.639), counts 29, total 57.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_80, win ratio 0.520, (0.407, 0.633), counts 39, total 75.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_85, win ratio 0.574, (0.450, 0.698), counts 35, total 61.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_95, win ratio 0.649, (0.525, 0.773), counts 37, total 57.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 11, total 11.\n", "chirp-v3p5-engine-s-8_min_p_005_win_over_chirp-v3p5-engine-s-8, win ratio 0.543, (0.426, 0.660), counts 38, total 70.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, (1.000, 1.000), counts 270, total 270.\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8_min_p_005, win ratio 0.457, (0.340, 0.574), counts 32, total 70.\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, (1.000, 1.000), counts 9, total 9.\n", "chirp-v4-engine-b_win_over_chirp-v4-engine-b, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-v4-h-s-32_mask_control_slider_win_over_chirp-v4-h-s-32, win ratio 0.714, (0.380, 1.049), counts 5, total 7.\n", "chirp-v4-h-s-32_text_1_win_over_chirp-v4-h-s-32, win ratio 0.462, (0.270, 0.653), counts 12, total 26.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32, win ratio 1.000, (1.000, 1.000), counts 119, total 119.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32_mask_control_slider, win ratio 0.286, (-0.049, 0.620), counts 2, total 7.\n", "chirp-v4-h-s-32_win_over_chirp-v4-h-s-32_text_1, win ratio 0.538, (0.347, 0.730), counts 14, total 26.\n", "tournament players: ['chirp-crow-t1', 'chirp-crow-t1_cfg_steps_10', 'chirp-crow-t1_cfg_steps_30', 'chirp-crow-t1_cfg_steps_480', 'chirp-crow-t1_mask_control_slider', 'chirp-crow-t1_max_tag_len_1024', 'chirp-crow-t1_n_tag_3', 'chirp-crow-t1_tag_cfg_05', 'chirp-crow-t1_tag_cfg_20', 'chirp-crow-t1_temp_s_100', 'chirp-crow-t1_temp_s_80', 'chirp-crow-t1_temp_s_85', 'chirp-crow-t1_temp_s_95', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-s-8_min_p_005', 'chirp-v4-h-s-32', 'chirp-v4-h-s-32_mask_control_slider', 'chirp-v4-h-s-32_text_1']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 492.21it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-crow-t1: 1008.5, (994, 1032)\n", "chirp-crow-t1_cfg_steps_10: 972.0, (904, 1030)\n", "chirp-crow-t1_cfg_steps_30: 956.6, (885, 1008)\n", "chirp-crow-t1_cfg_steps_480: 995.1, (917, 1072)\n", "chirp-crow-t1_mask_control_slider: 1115.1, (1094, 1164)\n", "chirp-crow-t1_max_tag_len_1024: 993.5, (941, 1050)\n", "chirp-crow-t1_n_tag_3: 1019.2, (951, 1118)\n", "chirp-crow-t1_tag_cfg_05: 1020.8, (960, 1112)\n", "chirp-crow-t1_tag_cfg_20: 1008.9, (939, 1092)\n", "chirp-crow-t1_temp_s_100: 1001.4, (921, 1099)\n", "chirp-crow-t1_temp_s_80: 996.3, (927, 1071)\n", "chirp-crow-t1_temp_s_85: 972.9, (867, 1045)\n", "chirp-crow-t1_temp_s_95: 940.7, (809, 989)\n", "chirp-v3p5-engine-s-8: 987.9, (942, 1027)\n", "chirp-v3p5-engine-s-8_min_p_005: 1011.7, (974, 1059)\n", "chirp-v4-h-s-32: 991.5, (143, 1061)\n", "chirp-v4-h-s-32_mask_control_slider: 1022.9, (920, 2749)\n", "chirp-v4-h-s-32_text_1: 985.0, (92, 1072)\n" ] }, { "data": { "image/png": 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w4ABvvvlmumULFChAmTJlMqwv5U2nGzdupDoeHx9vtmhtly5dstTOtDzu/oqIiEjOpYC5iIiIiDzT8uXLR7Vq1di7dy87d+4kMDAQb29vNm7caFo88kFnl585c4akpCQAHBwc8Pf3z/ScUqVKmYKsSUlJnD59msqVK5uO3wuaQnJajsxYWFhQoUIF1q1bl26Zw4cPm14HBAQwYsSITOuF+4tqGo1GAgICnmjAfNeuXezatSvDMl5eXowaNYoXX3wxw3KZBWjBfIzOnDmT5TG6JywsLNXNjweR8vqxsbFZvv7Vq1dNrwMCAjIMmGdlHFIuoLlu3Tr27duX6TkRERGm1ylvZqSlRIkSmdbn5uZmen0vn3xKp06dIi4uDkhe5PNevviH8bj7KyIiIjmXAuYiIiIi8sxr3bo1e/fuJSkpiVWrVtGjRw9WrFgBJAeeHzRgHhISYnqdJ0+eNBcU/DdLS0ty587NxYsXU9UBmBYPvVdnVmRW7s6dO6bXZ86c4cyZM1mqN6WwsLAHPudRsrCwwNHREQ8PD0qVKkW9evV4+eWXM01bAskpWzKTcowOHDjAgQMHHriN4eHhDx0wT3n969evm1LoPIjMfkYPOg7p5Q/PyL2bLOnJyk2XlOlaEhMTUx0PCgoyvc6dO3e66V2y4nH3V0RERHIuBcxFRERE5JnXrFkzRo4cSUxMDMuXL6d169Zs27YNgCpVqlCgQIEHqi8qKsr0Oq1FAtOTsmzKOiB5AccHrTOzcilnxD6sezPpn5QxY8aY5bL+L7ISVH8UY5RWcDernsTPKCtpZtKa0f0o25CVm0qZSfmZedgbFPc87v6KiIhIzqWAuYiIiIg885ycnGjUqBF//PEHZ86cYeLEiaYgZ5s2bR64vpR5s2NiYrJ8Xsqy/869nTIAmNU6MyuXMqDetWtXhgwZkqV6nycpx2jw4MF07949267fsGFDpk2b9kSvn7Id94L3y5Yty3AR2+yS8jOT8gbTw3gW+isiIiJPJ8vsboCIiIiIyKOQMjC+dOlSIHnmbbNmzR64rpQLcgYEBGA0GjM9x2AwEBAQkGYdYJ42I6v5kVPWlxYvLy/T65TpLOS+lGMUGBiYrdfPzp9RygVhs2McsiLlWAUEBPynmf3PQn9FRETk6aSAuYiIiIjkCLVr18bb29tsX6NGjR5qQUt/f3+srKyA5DQRWckNfvr0adOsWCsrq1SLNJYqVcr0OuVCkOkxGo0cOXIkwzLly5c3vT506FCWAvvPm5RjdPDgwSd+/ZQLV546deo/z5x+FO3IjnHIilKlSpnSy8TExGT6/s/Is9BfEREReTopYC4iIiIiOYKVlRWvvPKK2b6HSccCySleypYta9petmxZpucsXrzY9Lp8+fKpcjDXqFHD9Hrr1q2EhoZmWN/u3bsznWFepUoVXFxcgOQZuX///Xem7Xze1K1b17R45KFDhzh9+vQTvX6BAgUoWrQoAAkJCWbvkyfpxRdfNL1esmQJcXFx2dKOjNja2pp9Th5mgdR7noX+ioiIyNNJAXMRERERyTHeffddFi9ebPq/Tp06D11Xx44dTa/nzp2bYaD1+PHjLFiwwLTdqVOnVGXq1KlDnjx5gOTZsxMmTEi3vri4OMaOHZtpG21tbenWrZtpe/jw4dy+fTvT8+55HtK4+Pr60qpVKyB51v6AAQOyvCCkwWAgODj4P7ehV69eptdff/11lp5YuOdRpRNp2rQpBQsWNNU5bNiwLD+REBUV9cRmxr/55pum16tXr2b16tUPVc+z0l8RERF5+ihgLiIiIiI5houLC+XKlTP9fy+tysN45ZVXTGlVEhISeOutt9i9e3eqcjt37qRXr16mfMtlypShZcuWqcpZWVnx0UcfmbYXL17MqFGjUs18DQwM5J133uH06dPY2Nhk2s4333yT4sWLA3D79m3at2/P2rVrMRgMaZYPDg5mwYIFtG3blpkzZ2Zaf07w8ccfm9L1nDlzhldffZXt27enWz4gIIBZs2bRrFkz1qxZ85+v36pVK2rWrAkkB2Nff/115s+fT3x8fJrlIyMjWblyJV27duXLL7/8z9eH5PffsGHDTJ+JpUuX0rt3by5cuJDuOadOnWLChAm8+OKLXL9+/ZG0IzO1a9c2W3egf//+TJ06Nc0FcA0GA7t37+b99983LfB5z7PSXxEREXn6WGd3A0REREREnka2trZ89dVXdOnSheDgYAIDA+nWrRslS5Y05SM/deqU2cxzT09PJk2alG6gu23btmzZsoW1a9cC8Ouvv7JixQpq1KiBm5sbt27dYs+ePcTHx5M/f34aNWrE7NmzM2yno6Mj06ZNo3v37ly/fp3AwEA+/vhj3N3dqVixIl5eXhiNRsLCwjh//jxXrlwxBdPvBXFzOl9fX77//nt69+5NSEgIly5domfPnvj6+lK+fHk8PDxISEggJCSEc+fOPfJgqZWVFV9//TU9evTg5MmTREZG8sUXXzBhwgQqVqyIr68vVlZWhIWFcenSJS5evGi6AdO0adNH1o7atWszbNgwhg0bRlJSElu3bmXbtm0UK1YMf39/HB0diY2NJTAwkNOnTz+S2fUPY9SoUdy8eZOjR4+SlJTElClTmDlzJpUrVyZ37twYjUZu377N8ePHTamN0po9/qz0V0RERJ4uCpiLiIiIiKSjaNGi/P777/Tt25eTJ08CyYt7ppWepUyZMnz99df4+fllWOeECROwt7c35UUPCwtj3bp1ZmWKFCnC1KlTszy7uUCBAixZsoQvvviCv/76C6PRSEhICJs2bUr3HBcXF0qUKJGl+nOC8uXLs2TJEv73v/+xa9cuIHlG/vr169M9x8vLy5TW479yd3dn3rx5jBkzhsWLF5OYmEhkZGSGM93t7e0pU6bMI7n+Pa+99hp+fn588cUXXL58GaPRyLlz5zh37ly65xQvXhxXV9dH2o6MODk58dtvvzFq1CiWLFlCUlIS0dHR6Y6VnZ0dlpZpPzz9LPRXREREni4KmIuIiIiIZKBw4cIsWbKEP//8k3Xr1nH06FHTTFQPDw8qVKhA06ZNadq0KRYWFpnWZ2Njw9ixY2ndujULFy7k4MGD3L17F1dXV/z8/GjevDnt27fH0dHxgdrp5ubGN998w9mzZ1m9ejV79uzh+vXrhIaGYmlpiYuLC35+fpQuXZratWvzwgsvYGdn91Bj8qzKly8fs2bN4tChQ/z555/s27ePgIAAwsPDsbKyws3NjYIFC1K2bFnq1KlD9erVTQuGPgr29vYMHz6cXr16sXLlSnbv3s3ly5cJDQ3FYDDg7OxMgQIFKFmyJDVr1qRevXo4OTk9suvfU7NmTdasWcOGDRvYvHkzR44cISgoiMjISOzt7fHy8qJIkSJUqlSJevXqmZ6oeJLs7e358ssv6d69OytWrGDXrl3cuHGDsLAwbGxs8Pb2xt/fn9q1a9OiRYsMx+lZ6K+IiIg8PSyMWV35REREREREREREREQkB9OinyIiIiIiIiIiIiIiKGAuIiIiIiIiIiIiIgIoYC4iIiIiIiIiIiIiAihgLiIiIiIiIiIiIiICKGAuIiIiIiIiIiIiIgIoYC4iIiIiIiIiIiIiAihgLiIiIiIiIiIiIiICKGAuIiIiIiIiIiIiIgIoYC4iIiIiIiIiIiIiAihgLiIiIiIiIiIiIiICKGAuIiIiIiIiIiIiIgIoYC4iIiIiz4k9e/bg7++Pv78/Xbt2ze7mPHMGDRpkGr+lS5dmd3OemKVLl5r6PWjQoOxujjwh+r4QERF5filgLiIiIiIiIiIiIiICWGd3A0REREREROTp4O/vb3p95syZbGyJiIiISPbQDHMRERERERERERERETTDXERERESeEzVq1NCMWRERERERyZBmmIuIiIiIiIiIiIiIoIC5iIiIiIiIiIiIiAiglCwiIiIi8pzYs2cPb7zxBgDVq1fnt99+S7fshQsXWLJkCfv37+fKlStERUVhYWGBk5MTefLkwd/fn+rVq9OwYUNcXV2fSJvuycqijGmVOXr0KAsWLGD//v3cvn0bW1tb/Pz8aNKkCZ07d8bJyemh+5GWqKgolixZwpYtWzh37hwhISHY29vj6+tL9erVad26NRUqVMhSXTdu3GDLli3s37+fs2fPcuvWLWJjY3FycsLHx4fKlSvTtm1bKlas+EBtPHHiBPPmzWPXrl0EBgbi4OBA/vz5adq0KR06dMDNze3BO/4AEhISWL16NZs2beL48eMEBwdjNBrx8PCgYsWKNG/enMaNG2NhYZHq3LCwMFq1akVAQAAAnTp1Yvjw4Rleb+bMmYwfPx4AR0dHVqxYQYECBczehymlfB+ltHHjRvLnz5/msVu3brF06VJ27NjB1atXCQ0NxcHBgbx581KrVi1ee+01ChcunGE7Bw0axLJlywAYM2YM7dq1IyYmhqVLl/LHH39w5coVwsPD8fT0pEqVKnTu3JkqVapkWGdKly9fZu7cuWzbto2AgABsbW3JkycPDRs2pGPHjuTOnTvLdYmIiEjOo4C5iIiIiEgKU6ZMYdq0aSQlJaU6FhwcTHBwMCdOnGDp0qW88sorTJw4MRta+WCmTJnC999/j8FgMO2LiYnh2LFjHDt2jLlz5/LNN99QqVKlR3K9TZs28fnnnxMYGGi2Pz4+nvDwcM6dO8fcuXN5+eWXGTlyJLly5Uq3rnHjxvHLL79gNBpTHQsNDSU0NJSzZ88yf/58WrZsyahRozKs757JkyczY8YMs59zXFwcISEhHDt2jDlz5vDNN988QK8fzJ49exgyZAhXr15NdezGjRvcuHGD1atXU7FiRb799lt8fX3Nyri6ujJ+/Hi6d++OwWBg/vz51K9fn4YNG6Z5vZMnTzJ58mTT9tChQylQoMAj64/BYGDKlCnMnDmTuLg4s2NhYWGEhYVx6tQpfv31V9566y0+/vjjNG8EpOX8+fN8+OGHXLhwwWx/QEAAq1evZvXq1bz//vt8+OGHmdY1d+5cxo0bZ9bGmJgYwsLCOH36NHPmzGHcuHE4OjpmqW0iIiKS8yhgLiIiIiLyj9mzZzN16lTTtru7OxUrVsTb2xsLCwtCQ0O5dOkSFy5cSDOg/jT69ddfTX0qWLAg5cuXx8bGhrNnz3L8+HEAbt++zVtvvcWcOXMoVarUf7remjVr+PTTT03jY2VlRZUqVfDz8yM6Opr9+/dz584dAP744w9u3LjB7NmzsbOzS7O+gIAAjEYjFhYWFC5cmMKFC+Pm5oa1tTWhoaGcOnXKFHRevXo1kZGRTJ8+PcNg7FdffcX06dNN27ly5aJmzZp4e3sTGBjInj17CAgIoHfv3mnOvP6v1q5dS//+/UlISADA3t6eChUqkC9fPiwtLbl8+TKHDx8mMTGRw4cP07FjRxYvXoyXl5dZPTVq1KBXr16mvnz22WesXLkSHx8fs3IxMTH069fPdL2WLVvSpk0b03FfX186d+4MJAeU77m379/+/TRCUlISn3zyCX/99ZdZneXLl8fDw4OoqCiOHj3K1atXSUxM5IcffiA4OJgvv/wy07G6c+cO3bt3JzAwEBcXF6pUqYK3tzchISHs3r2biIgIAL777juKFStGixYt0q1r/vz5jBgxwrRtY2ND9erVyZs3L2FhYezdu5fQ0FA+/PBD+vbtm2nbREREJGdSwFxEREREBEhMTGTatGmm7X79+vHmm29iY2OTqmxoaCgbN24kODj4STbxoYwfPx47OztGjhxJq1atzI4dOHCATz75hNu3bxMZGcmAAQNYunRpmn3OiqtXr/K///3PFCwvX748EydOpGDBgqYyBoOB2bNnM378eAwGA4cOHWLChAkMGTIkzTrLlClD3bp1efHFF/Hw8EizzP79+/nss8+4cuUKW7ZsYeXKlbRu3TrNsvv27ePHH380bTdt2pQvv/zSLLVOREQEX3zxBatXr+aHH3544HHIyLlz5xg0aBAJCQlYWFjw5ptv8u677+Li4mJW7tq1awwcOJADBw5w69YtBg8ezIwZM1LV16dPH3bu3MmxY8cICQlh8ODB/PTTT2Y3DEaPHs3FixcByJs3b6rULYUKFWLo0KGAecD83r7MTJ061RQs9/b2ZujQoTRp0iTVTYu1a9fy+eefExERwcKFC6lVq1aGAW5IDoTHx8fTq1cv3n//fbOnB0JDQ/noo4/YvXs3kHwjpHnz5mneLLl8+TKjR482bVevXp0JEyaYpV+Jj49n4sSJzJ49m6+++ipLfRcREZGcR4t+ioiIiIgAFy9eJCQkBIDKlSvTu3fvdAPHbm5utG/fnl69ej3JJj6UhIQExo4dmypYDlClShVmzpyJra0tAGfPnmXFihUPfa3vvvuO6OhoIHk2+88//2wWLAewtLTkzTffZODAgaZ9c+fO5dq1a2nW+dZbb9GuXbt0g+UAVatW5eeffzbNUp8zZ066ZSdNmmRK71KrVi0mT56cKg+9s7MzEydOpE6dOqZZ2Y/KyJEjiY2NBZJzdQ8cODBVsBygQIEC/PTTTxQrVgyArVu3cuTIkVTlbGxsmDRpEg4ODgBs376d2bNnm46vX7+ehQsXAsljP2HCBJydnR9Zf65fv26a4e7m5sbvv//OSy+9lGbQunnz5mZPcEydOjXNVDspxcfH8/bbb/Ppp5+mSrXj5uZm1vdr165x9OjRNOuZMmWKKQ1L8eLF+fHHH1PlKre1teWzzz6jQ4cOj/znLiIiIs8OBcxFRERERIDIyEjT64yCs8+aqlWrZjiLt3jx4mapNxYtWvRQ1wkPD2fNmjWm7f79+2cYmH3jjTcoXrw4kDzr/F5Q92Hlz5+fGjVqAHDs2DGzn+c9Fy5c4NChQ6btIUOGYGVllWZ9lpaWDBkyJMt5trPi9OnTptnQpUuXplu3bhmWd3Bw4L333jNtr1q1Ks1yBQsWNJuhP2nSJE6fPs3t27fN9vfu3ZuqVav+ly6k8uuvv5qeKHjvvffw8/PLsHzNmjWpU6cOkPzzOHnyZIblPTw8eP/999M97uXlRf369U3baQXMw8PDWbdunWm7f//+Gea579+/vykILyIiIs8fpWQREREREQHy5Mljer1nzx4uXbpE4cKFs7FFj0bKXNUZlfnll1+A5GBzdHT0AwcMDx06RHx8PJCc+71BgwYZlre0tKR9+/aMHTsWSB7zzNy8eZOjR49y+fJlwsPDiYuLM5uhfP36dQCMRiOnT59OFRy+F6yG5FQv92Zvp6dw4cJUrFjRLMj+X2zZssX0umXLllkKxtesWdP0+sCBA+mWa9++Pdu2bWPt2rXEx8fTr18/PD09CQ0NBZLT4/Tp0+fhG5+OlH165ZVXsnROzZo12b59O5DcpzJlyqRbtkGDBunmt7+ndOnSrF27FkheMPXfUr43PT09qVu3bob1ubq60rBhQ/74448My4mIiEjOpIC5iIiIiAjJAfOKFSty+PBhIiIiaNeuHa1bt6ZJkyZUrlw5wxmpT7OKFStmWsbf3x8HBweio6NJSkrizJkzVKpU6YGuk3KmcPny5bG2zvyfGpUrVzY7/97inv926NAhJk2axP79+zNN4XHPvfQ6KZ06dcr0Oqv9e5QB85T17Nmzh5s3b2Z6Tsr+3rp1K8OyI0aM4PDhw9y6dYvz589z/vx5IHmm+qRJk7L0M3kQISEhXL58GUhODZMy3UpG7rULMu9TiRIlMq3Pzc3N9DqtJwv+/d60tMz8QeuKFSsqYC4iIvKcUsBcREREROQfo0aNolu3bgQFBREdHc28efOYN28e1tbWlCxZkmrVqlGnTh1q1aqVbiqPp03KmfPpsbCwIHfu3KaFIR9mMdOU5+TNmzdL5+TLl8/0OiEhgaioKJycnMzKLF68mCFDhmQ5UH5PVFRUhm3Myrg8SLmsuHPnjun11q1bH/j88PDwDI+7uLgwYcIE3njjDQwGg2n/559/nmmqlIcRGBhoep2QkGC2YGhWZdanrORbT3kjIDExMdXx7P65i4iIyLNFAXMRERERkX8UK1aMFStW8MMPP7B8+XIiIiKA5CDc8ePHOX78OL/88gu+vr706dOHDh06ZHOLM5fVmfEpy6UVbM7MvcU+H/aa966bMmB+/vx5vvjiC1OwvHjx4rz22mtUrFiRfPny4eTkZJauY9CgQSxbtgzALGD8X9r4KHNZpzX7+UHcyxWeEVdXV6ytrU0pSOzs7Ew5wx+1e5+P/yKzPj2KHPIpf+729vZZOkc5zEVERJ5fCpiLiIiIiKTg5eXFkCFDGDBgAIcPH2b//v0cOnSIgwcPmgKe9xZTPHPmjNmiio9bWkHgzMTExKSatZ1euXscHR0f+DopA4wp68rqNdO67uzZs00zhuvUqcO0adOwtbVNt77MAv0P08aUwdb/KmWQfurUqTRp0uSR1Q2YcpffC5YDxMXFMXjwYH766adHuoApmI+nk5NThjnWs1PKdsbGxmbpnEf5cxcREZFnS+bJ20REREREnkO2trZUr16d9957jxkzZrB7925mzJhBlSpVTGV+++03jh49+tDXyCyVxL89zIzezHJEQ3Ke7Nu3b5u23d3dH/g6Hh4eD3RNMF+g0cbGJlXAfNeuXabXH3/8cYbB8n/X96jaGBAQkKVyWeHl5WV6nTKdyaMyfvx4zp49C4CPj49pPLdv387s2bMf+fU8PT1NryMjI7N8E+JJy+6fu4iIiDxbFDAXEREREckCGxsb6tWrx6xZs8wWIty0adND15ly5ndoaGim5e8FQx/E4cOHs1TvvdnZVlZWlCxZ8oGvU7p0adPro0ePZil9SMpFMEuXLp1qBnTKnN/+/v4Z1hUREZHp+JQqVcr0Oivj8u82/lfly5c3vT548OAjqxdg27ZtzJkzBwBLS0smTJhg9vTDpEmTOH369CO9po+Pj1mu70c5Vo9SyvfmsWPHsvSkxtPaFxEREXn8FDAXEREREXkAtra2vPDCC6btu3fvPnRd+fLlMwWJr169mmlKkbVr1z7wNVauXJlpmeXLl5telytX7qHyN1eqVMk0Azw4OJjNmzdnWN5gMLBkyRLTds2aNVOVsbS8/8+VzGYvL1q0iISEhAzLpLzG8ePHuXDhQoblr1y5kuXAelY0aNDA9Hr9+vUEBQU9knqDg4MZPHiwKdd7jx49qFmzJu3ataNZs2bA/XQtcXFxGdaVMid8ZuMJ8OKLL5pe//777w/R+scv5XszKCiI7du3Z1g+IiKCv//++0k0TURERJ5CCpiLiIiIiABhYWFZzhGeMq1DynQPD8rJyYkiRYoAySlZVq1alW7ZkydPsnDhwge+xt69e/nzzz/TPX7hwgXmzp1r2n711Vcf+BoALi4utGjRwrQ9fvz4DBe5nDNnjmlGuKWlJa+99lqqMgUKFDC9ziiAefnyZaZOnZppG4sWLUqlSpVM26NHj073Z24wGBg5cqQpCP0olC9fnurVqwPJubQHDBhglm88I/Hx8YSFhaV57LPPPjOleClTpgwff/yx6diIESPInTs3kLyI6rhx4zK8jpubm+l1yjQ96enRowdWVlZA8k2ApUuXZnrOPY8jLU1aXFxceOmll0zbEyZMyDCX+YQJE5TDXERE5DmmgLmIiIiICLBx40aaNm3KzJkzuX79eppl4uPjmTNnDn/99ZdpX7169f7TdV9++WXT60mTJrF///5UZbZs2UKPHj0eatFGGxsbBg4cyB9//JHq2KFDh+jZs6dp1nHx4sVp3br1A1/jnvfff980O/3y5cu89dZbXLt2zayMwWBg9uzZjB071rSvc+fO5M+fP1V9KWdkjx07lm3btqUqs2vXLrp27UpUVFSWZsZ/8sknpnHcvn07/fr1Izw83KxMZGQk/fv3Z+vWrdjY2GRa54P4/PPPTe3csWMHXbp04ciRI+mWv3TpEt999x0NGzZMM43L3LlzTWmBcuXKxcSJE83a7Orqyvjx402z9efOncuWLVvSvV7x4sVNrzO60XKPn58f7777rmn7s88+Y9y4cQQHB6dZPjExke3bt9O/f3/atm2baf2Pyvvvv2+aZX727Fl69+6d6oZAfHw848aNY8GCBY/85y4iIiLPDuvMi4iIiIiIPB+uXr3K+PHjGT9+PHnz5sXf3980gzwoKIgjR46Y5Rp/5ZVXqFy58n+6ZteuXZk3bx537twhPDycLl26ULlyZYoUKUJcXBzHjx/n4sWLQHLQeNCgQQ9Uf//+/Rk9ejT9+vVjypQplC9fHmtra86dO8exY8dM5RwcHBg7dmymC2tmxM/Pj1GjRvHpp5+SlJTEoUOHaNasGVWqVMHPz4/o6Gj2799vFqisWLEi/fv3T7O+bt26sWjRIoKDgwkNDeWtt96iTJkyFC1aFAsLC06ePMm5c+cAqFOnDp6enqxYsSLDNtaoUYMePXowc+ZMANasWcPmzZupUaMG3t7eBAUFsXv3bqKjo3F1deWNN95gypQpDz0m/1aiRAm++uorPvnkE2JiYjhy5AivvfYafn5+lC5dGldXV+Lj47l79y5nzpzJcJb3hQsXGD9+vGl70KBBpicW/t3nnj17MmPGDAAGDx7MqlWrzBbtvKdp06amlCUTJ05k69atFC9e3Ox98c477+Dq6mra/uCDD7hx4wbLli3DaDTy888/89tvv1G2bFn8/Pywt7cnKiqKGzducObMGdPs7ZSz2R+3IkWKMGjQIEaMGAHAnj17aNSoETVq1CBv3ryEhYWxZ88eQkNDsbGx4ZNPPjEbWxEREXl+KGAuIiIiIkJywNjCwsKUguPmzZvcvHkzzbKWlpZ06tSJzz777D9f19nZmR9++IGePXsSEhKC0WjkwIEDHDhwwFTGxsaGwYMH07Zt2wcOmHfr1o3Q0FCmTZvG5cuXuXz5cqoyPj4+fP3115QtW/a/docWLVqQK1cuhgwZQlBQEImJiezZs4c9e/akKvvyyy8zcuRIs7zZKXl6evL999/z7rvvEhISAsCJEyc4ceKEWbnGjRszduxYRo0alaU2DhgwACsrK3766ScMBgPR0dGpFm/18fHh22+/5dKlS1mq80E0aNCA+fPn89lnn5n6cvXqVa5evZruOfny5TOlVoHk2dB9+/Y1pRZp1KgRnTp1Svf8jz76iJ07d3LixAnu3r3LZ599xvTp01OVa9u2LStXrmTfvn0YjcY0f3adO3c2C5hbWFgwduxYypQpw5QpUwgLCyMhIYFDhw6lu3imhYXFf77Z9KA6d+6MwWBg/PjxxMfHk5CQkCqfubOzM+PGjTNbkFdERESeLwqYi4iIiIgAzZo1Y/v27Wzfvp2DBw9y5swZrl27ZkrX4ezsTKFChahSpQpt2rShWLFij+zaZcqUYe3atcyaNYu///6b69evYzQa8fX15YUXXuD111//T9f76KOPqF+/PgsWLODAgQPcuXMHa2tr/Pz8eOmll+jcuTPOzs6PrD8NGjRg3bp1LFmyhM2bN3Pu3DlCQkKwt7fHx8eHGjVq0KZNGypUqJBpXZUqVWL16tXMnj2bTZs2mVK8eHt7U6ZMGVq1akXDhg0fuI39+vWjadOm/P777+zevZvAwEAcHBzIly8fL730Eq+99hoeHh6PJWAOULJkSZYuXcr27dvZsGEDBw8e5M6dO0RERGBra4u7uzuFCxemQoUK1KlTh0qVKpml5Pnqq684ffo0kDwWI0eOzPB6NjY2TJo0iXbt2hEdHc3mzZuZM2cOXbp0SVXul19+YfHixaxbt45z584RGhqapQVAu3btStu2bVmxYgU7d+7k9OnTBAcHEx8fj6OjI76+vhQvXpzq1atTv3598uTJ8xAj99907dqVOnXqMHfuXLZt20ZAQAC2trbkzp2bBg0a0KlTJ/LmzZvmDR4RERF5PlgYH+UqNiIiIiIiku38/f1Nr8+cOZONLRERERERebZo0U8RERERERERERERERQwFxEREREREREREREBFDAXEREREREREREREQEUMBcRERERERERERERARQwFxEREREREREREREBFDAXEREREREREREREQHAwmg0GrO7ESIiIiIiIiIiIiIi2U0zzEVEREREREREREREUMBcRERERERERERERARQwFxEREREREREREREBFDAXEREREREREREREQEUMBcRERERERERERERARQwFxEREREREREREREBFDAXEREREREREREREQEUMBcRERERERERERERARQwFxEREREREREREREBFDAXEREREREREREREQEUMBcRERERERERERERARQwFxEREREREREREREBFDAXEREREREREREREQEAOvsboCISEpNLDtkdxOeC2Fda2V3E54L4YUssrsJz4XC829ndxOeD5Z6Pz8JxoDA7G7Cc8HC3S27m/BcuNUiX3Y34bng2f5adjfhuWDZSOMsIg9mvWFRdjdBHpJmmIuIiIiIiIiIiIiIoIC5iIiIiIiIiIiIiAiggLmIiIiIiIiIiIiICKCAuYiIiIiIiIiIiIgIoIC5iIiIiIiIiIiIiAiggLmIiIiIiIiIiIiICKCAuYiIiIiIiIiIiIgIoIC5iIiIiIiIiIiIiAiggLmIiIiIiIiIiIiICKCAuYiIiIiIiIiIiIgIoIC5iIiIiIiIiIiIiAiggLmIiIiIiIiIiIiICKCAuYiIiIiIiIiIiIgIoIC5iIiIiIiIiIiIiAiggLmIiIiIiIiIiIiICKCAuYiIiIiIiIiIiIgIoIC5iIiIiIiIiIiIiAiggLmIiIiIiIiIiIiICKCAuYiIiIiIiIiIiIgIoIC5iIiIiIiIiIiIiAiggLmIiIiIiIiIiIiICKCAuYiIiIiIiIiIiIgIoIC5iIiIiIiIiIiIiAiggLmIiIiIiIiIiIiICKCAuYiIiIiIiIiIiIgIANbZ3QAREcn5OjevQtsXy5Pb05nQyFiWbDzML6v2plk2j5cLPVvVpGrpAni4OhIUGsnanaf4ZeUeEpMMpnKNq5eg+8vV8cvtTkhEDIs2HGbO2v1mddlYW/FW65o0q10KT1cHgkKjmLliN6u2nXis/c0OzcqU4O261Sjk6U5wdAxz9x7m5x0HMjzHNZcdQ1o0oEGJIhiMRtadOs/otZuJjk/Icr3eTo4MbFqPsnl98fNw47c9hxjz55bH1s/sVK56Edp2r4N/ufw4ONlz40oQS2ZuZdOqw+me4+zmwICJHSnsnwcXNwdC70aya+NJZn/1F9FRcWZ19x7UkoLFfQm8Fcq8aZvYsOz+OFtaWtC5T2MatqqEu5czwXfCWb/sAPO+//txdjlblKtWmLbd6uBfPj8Ojv+M88/b2PTH4XTPcXZzYMD4jhT2z31/nP8+xezJ5uPc4OWKvNqzHnkLehIdGcv+rWf5aeJaIkKjAfAr5kPXPk0oXiYfvvncmT7mD5b/uuNxdznbFC6Tn/cnvE6JSoUJuxvBih//ZvG3f2Z4TolKhXjzi/YUr1gQo9HI2QOX+GnYYi4dvw5Al4Gt6DKoVarzYqPiaJP/fQDGr+pP+Tr+qcrsXXeUoR2/fQQ9e3qUq1GUtj3q4l/BL/l743IgS2ZsZtOKQxme553XjQ++bE/5mkWJjYpnw9L9/DJhDYYUvwfL1ShK7/+9QsHiuZO/N77bwIYl5r8HX+5am1d7vYi7tzMXT91i2rBlnD167bH0NTu906Im77SolWp/TFwCtfpNTfMcV0d7RndrTvF8Xrg52BMcGcPmoxeYsmoHUbHxAIzo8hKtapZJde6FW3dpP+pXANYM70FeT9dUZRZsPcyYhZv+S7eynY2lNZ+UeJXizgUo6ODD7rsnGXr8l3TLl3EtxOSK73MpKoC390/KsO763hV4vWBj8jt4E5YQyfLrO1h47f54edg6806x1vg75ydvLi+WXd/O9+eXm9XRIk9NXspdlUKOuQE4G3GdmRfXcCbi6sN3WkREBAXMRUTkMevXuQE1yhbkm/lbuHAtCBcne1wc7dMtXzCPBxaWMGbWBq7dDqVofk8+e7MJuexs+Hb+VgBqlS/EiLebM3HOJnYfv0LhvB589mYT4hISWbThsKmu0e+3xMPFkZEz13H9Tihero5YWFo87i4/cXWLFWJC+2aMXLOZHReuUNTLgy9bNSYuIZG5e4+ke96E9s3xdnKkx69LsbayZHSblxjxSmM+XbI2y/XaWlsRHB3DtK176Far8hPpb3YpXcmPS2dusWjGZkKDIqneoBT9xr1GVEQsezefTvMco8HI7o0n+fXrdYQFR5HXz5P3vmiNs6sD4z+dD4BvfndGTO/O6vl7GP/pfCrWKsbHI9sRHBjOwe3nAOjQqz4t/68mkwYu5Mr5O5Qom49PxnQgKiKWlb/tfGJj8CSUrlSQS2cDWPTTFkLvRlL9xZL0G9uBqMiMxtnA7r9P8us36wgL+WecP2+Fs2sbxvdfYKq339gO/Dh2NXs2ncLL14UPhrXhoxFtGfnhXADs7W0JuBbM9r+O0XtQyyfW5+zg4GzPqCWfcHjLKab0nUOh0vn4ZEp3osKiWTt7a5rn2DvaMXLxx+xee4TvPp2DlbUVXQa1YtTiT+hadgBJiUksnvoXq3/ZbHbe2OX9OHvosml7RNfvsbG1Mm27eDjx/bYv2LbcPNibE5SuUpBLp2+xaPqm5O+NhqXoN/H/kr83/j6V5jmWlhYMn9mTkMAI+r06FQ8fFz6d2InExCRmT0z+fvbN78GImT1Z/fsuxn/yOxVrF+fjMR0IvhPOwW1nAajXsgK9P2vFlM+XcObwVdq8WZeRs3vRq/F4wu5GPrExeBJmbzjAom1Hzfb9+OGrnLgSkO45BoORzUcv8N0fOwmJiKaAtxuDX2uIq6M9g2clj/P4xZv5ZsV20zlWVpYsHNyF9YfOmvZ1njAPS4v7f1sUy+vF9D7tWX/o3KPqXraxwpI4QwLLrm+jrnf5DMs6WtszqNTrHAw9h7uNc4Zlq3uU5LPSXZhybikHgs/g5+hLX//XiDMksOJG8njbWFoTFh/JnMsbaF+gXpr1VHAryt+3D3Ii/DLxhkQ6+TVkfIW36bl3PEHxYQ/XaRERERQwFxGRx6hQHg/aNyxPp//9ytWAEABuBoVneM7uY5fZfeyyaftmYBhzcx+gfcPypoB5i9ql2XLwAks3HTWVmf3HXt5oUc0UMK9ZrhCV/fPTtv/PhEfFAnArk2s/q1pXKMXG0xdYsD95PK6HhPHj9n28VadaugHzIl4e1CtemFen/87xm7cBGLlmEz92bsv4dVu5ExGVpXpvhIYzeu1mANpXSj0LLydZMH2z2faKX3dQ+YXivPBS2XQDuZHhMayet8e0fedmKH/8vptXe97/x3/LTjUIuB7MT+NWA3DtYiBlqhSibfc6poB5qUoF2b3xJPu2nEmu50YI9VtWxL98gUfZxafCgh83m22v+G1n8jg3LpPBOMeyev6/xnneHl7tUde0r1RFP+7cCGHlnOQbDLdvhLB2wV46vFXfVObs8euc/Wem9Jt9mz2qLj2VGnSoiY2tNV998AuJCUlcOX2TIuX8aPdek3QD5gWK58bFw4lfxywn6Ebyd/rc8av4YcdwfAp4cuvSHWKj4ohNMau/cNn8FCyVj2/7zTHtiwyNMqu3frvqxEbHs3VFzguYL/jXUyArZm2ncl1/XmhaLt2AeeW6/vgV8+WzrtMJDYrk4qmb/Dr5L3oMbMHcb9aRmJBEy861CLgWzE+jVwFw7cIdylQtRNse9UwB87Y967N2wR7WL94HwJQhS6jWoBQvdajGoh+e7ZnP/xYTn0BMiqejSuTzomgeT0bO35juORExcSzafj/IfiskgoXbjtCtcVXTvsjYeCL/mW0O0KB8UVxy2bNi1/0n1UIiY8zq7VG2MFcDQ9l/7vp/6tPTINYQzzdnlwBQ1rUQTta50i37SYkObLx9EIPRyAteZTOst3HuquwIOsYfN3cBcCs2mHlXNtLJr4EpYH47NoTv/plR3ixP9TTrGXNqrtn2pNMLqFu3PJXci7P+ds77PhEReVCGgBJP/JqWuc9mXugZoBzmIiLy2NStVIQbgWHUqViE5RN7snxiT/7Xo0mGM8zT4uRgawp6Q3KqlbiERLMycQmJ+Ho6k8fLBYB6lYpw6vJturaoyh9f92bxuDf5sFM97Gxy3r1iW2sr4hKTzPbFJiSSx9WZfG4uaZ5TsUAewmJiTcFygF0Xr2IwGimfL/dD1/u8cXS2N6XzyAoPH2deaFKWY/sumfaVrFiQw7vOm5U7sP0spSoWNG2fOnSFijWLka+QFwCF/fNQpkpB9m898x978GxwdLInIuwBxtnbmRealDEb51OHr+KV25Vq9ZJTgbh5OlGnaVn2PSdj+G+lqhXh2M6zJCbc/4wf2HicAiXy4OTqkOY5188HEHY3gmZd6mJtY4WtvQ1Nu9Thyumb3L4alOY5zbrW5fq5AE7sSn+2bdOuddiydC9x0fHplslJMvveKFWpIJfP3CI06P4s8ANbz+DonIuCxX0BKFmpIId3mv+D9MC2s5SqnPy9YW1jRfGy+Ti8434Zo9HI4R3nKFWpIDld29pluXw7mEMXbmT5HG9XRxpVLMaBDALdbWqVZc+Zq9wKiUjzuLWVJS2qlWLFruMP3OZnWdPc1ciTy5NfL6/LUnkbC2viDeZ/x8UbEvCxd8fX3v2h22FnZYu1hRURiVn/fSEiIpIWBcxFROSxyeftSm5PFxpVK8GwH/9kxE9/UbKQL2M/eDnLdeT3ceO1xpVYuumYad/u45dpULU41UoXwMIC/HzdeL1ZFQC8XB3/ubYbFYrno2h+LwZ8u5Kv5m6mYdXiDOjW8NF28imw/fwVmpQqRs3CyeNRyNONN2snp0fxdnJM8xxvJweCo8z/QZlkMBIWE4uXs+ND1/s8qdu8HCXK5Wfd0sxnsQ2c1Illh0cwd9v/iI6K5ev/LTEdc/dyIiTIPD1CaFAkjs722Nol3+BZ+OMWtqw5wo9r+7Lq+CimLu/D8tk7MsyfnlPUbfbPOC/LOCc/wMCJnVh2cDhzt35GdGQsX3++1HTs5KErjB+wgEFf/R+rjo5k3vb/ERURy3dfrniczX9qufu4Ehpo/tTNvW1339T5mAFiIuMY8MoEGr5WkxW3prHs+ndUbVSWz1/72iy39j02dtY07FCTP+dsT6O2ZCUqF6Zw6fz8+Vv6ZXKSui0qUKJcAdb9M+s7Le7ezmbBcoDQoIh/jrmYyqT+3ojA0TkXtnbWuLg7YmVtlapMSFCEqY6cytbaihZVS7F8V9bWKxnTvTm7vvqA9aN6Exkbz/Df16dZztvVkRdKF2LZzvSD4Q3LF8M5lx0r95x8qLY/i/Ll8qJX0ZcZc3IuBmPq74G07A8+TR3vclRyL44FFuTP5c2rBV4EwNP24d+fvYq+zN34MA6E5IzZjSIi/5UhG/7LKXLeNDsREXlqWFhaYGdrzfAf13L1digAI2eu47cRXfDL7W5K05Ieb3cnvvm0HRv3nWXFlvsB8+Wbj5Hfx41Jn7TF2sqSqJh4Fqw/SO+2tTEYjf9cG4zA5z+sISomedbi1/O2MPaDVxg/++9UM9SfZQsPHKOAhys/dG6DtaUlkXHx/LbnEH0a1DKNx9NUb05QvkYR+o7uwDdDlnL1/J1My/845g/mfreRfIW8eLNvM3oPbsl3w7MeqK3XvBwNXqnI+H7zuXL+NkVK5eXtwS8TfCecDcsP/peuPNXKVy9C31Gv8s3QLI7z2JTj3JTeg1ry3YjkcfYr6sM7n73C799v5MD2c3h4O/NW/+b0GdaGr4cszaRmAbC1t+GTb7tzYs95xr71I5ZWlrT/4CVGLPiIDxuOJD42waz8Cy9XJpeTHRvmpZ9nv1nXOlw6cZ2zBy+lWyanKF+zKH3Hd+SbzxZx9dztzE+Qh9KwQjEc7G2yHLSeuGQL09fupqCPOx+2qsOn7eozemHqBZVfqVGaiJg4/j56Po1akrWpXYYdJy8TGBaVbpmcxBILPivdhVmX/uR6TGCWz1t9azd5c3kxqtxbWFtYEpUUx9LrW+leuBkGHu7vi05+DWngU4l+h74jwZBz/sYTEZHsoYC5iIg8NkGhUSQmJpmC5QCXbwYDkNvTOcOAuZebI9MGdeDY+ZuM/iX1bK+pC7fx/aLteLo5EhIeTbUyfgDcCExe5OluaBSBIZGmYPm9a1taWuDj4cS1FG3KCSat387kDTvwcnIgJDqGmoWTx+NaSNqLXgVGRuPhaJ52wcrSAtdc9gRF3P+H/oPW+zwoV60ww6Z148cxf7BxRdaC1SFBkYQERXL9YiCRYdFM/P1dfv/+b0ICIwgJisTdy8msvJuXE1ERscTHJf+jv+eAFiz8cTNb1iTn27189jY+ed157e0Xc2zAvFy1wgz7/g1+HPsHG1ccytI5pnG+9M84z32H36clj/NrvV/k5MErLPl5GwCXzwbwXUw8E+e+w+xv1hMSmHaKhZwq5E4Ybv+aaXxvO+R22p/vBq/WwNfPi09eGoPxn5tm43rNYPGlb6nVoiJblprPmm7atS57/jqaaib7PXYOttRvV41fR+f8Wf7lqhdh2Iwe/DhyBRszeVoiJDCCEhXM1ydw83L+51i4qUzq7w1noiJiiI9LJDwkiqTEpFRl3L2cTXXkVG1rl2Xb8UsER2QtLcfdiGjuRkRz+XYIYVGxzOrbkR//3ENQuHnQu03NMqzee4rENJ6mAMjj7kwNfz/6zVj1n/vwrMhlbUdJFz+KO+Xjw+LtALCwsMDSwpJ19Scw4Mh0DoemfYNhxsU/mHlxNR62LoQmRFLZvTgAt2LuPnA7OhR4kf/za0T/I9O4GHXr4TskIpLDJGXxyZ9HKacEmpWSRUREHpuj525ibW1FPp/7j/f75XYDICCDBTi93Z34YfBrnLp8mxEz/iK9ycwGo5HAkEgSkww0rVmSo+duEhqRvPjWkXM38XZzJJedTYpru5NkMHAnODLtCp9xBqOROxFRJCQZaFnOn0NXbxISHZNm2cPXbuGay54yeXxM+2oWLoClhQVHbwQ8dL05XbnqRRg+vTs/T1zL2oV7H6oOC4vkP79sbJP/nDx9+AoVahYzK1OpdnFOHb5i2raztzEFKO8xJBmwsLB4qDY87cpVK8zwad34+as/Wbso/dQVGbGwTB4bGxsrIHkM//1kRJLhnydS/kNbn1Wn9l2kXO0SWFlbmfZVblCaa2dvEZlOvni7XLYYDQaz96LBYMRoNJrG+x5fPy8q1PXnrwzSsdRrXRUbWxv+Xrj7P/bm6VauRlGGz+zJz+NXszbF4rTpOXXoCoX88+DqeT/YXblOcaIiYrh6Pnlm+ulDV6hQu7jZeZXqFOfUweTvjcSEJM4dv0HFFGUsLCyoWLsYpw5dIafK6+lCteIFWPaQOcQt//lOtU3xuQCoWjw/fj7uGdbbulYZgiNi2HYi5z8tcU90Yhw9946n9/5Jpv9X3dzF1ajb9N4/idPhVzM834CRoPgwEo1JNPCtxImwS4QlPNjs/I5+DehSqAmDjv7I2Yhnf6FVERF5OihgLpKO69ev4+/vz6lTp9Its3TpUqpWrfoEWyXybNl74gqnLt/m855NKeHnTclCPgzq3oTdxy+bZp2XLpKbhWO64+2eHBjwdndi2qAOBNwN59v5W3F3yYWnqwOeKRahc3Wyp12D8hTM405xP2/6dn6RhtVK8NXvm01l/tp1mrDIWIa+1ZTCeT2o5J+PDzvVY9XWEzkqHQuAm4M9HauWp7CXOyVze/NZ8xdpVqYEo//cbCpTLp8vaz7ohs8/+ckvBgWz9dwlRrRqTLl8vlQqkJfPWzRkzfEz3PlnhnlW6gUomdubkrm9cbC1xcMxFyVze1PU2+NJdf+JKV+jCCOmd2fFbzvZse447l5OuHs54eSay1SmduMy/Li2r2m7Wj1/mrSrQsHivvjkc6dafX/6DG/DiQOXuXMj+QmL1fP3kKeABz36Nyd/EW9avl6Tes3LsWzW/UDjnk2n6fROQ6rV98cnnzu1G5eh3Zt12LUhazl6nyXlqxdhxA/dWTEno3EuzY+rPzFtV6vnT5O2/4xzXrfkcf7in3G+GQrAnk2neKFxGVp2qkHu/O6UrlSQdz97hdNHrhH8z+xyaxsripTMQ5GSebC2scLTx4UiJfOQx8/ziY7Bk7Bp8R4S4hP5ZEo3CpbMS7221WjzdmOWfn//iZ7aLSsxY8+Xpu2Dm0/i5ObI+xM7U6BEHgqWzEu/794kKcnA0W3mi6c27fICwQFh7F9/jPQ07VqHnWsOERGSc9NXlK9ZlBEze7Ji9nZ2rD2Gu5cz7l7O5u/nl8ry4/oBpu2D285w9fxt+k/6PwqXzEPluiV4o29zVv22k4T45EVaV8/dRZ4CnvQY2DL5e6NLbeq1qMCyn7ea6lk2cwvNOtWgcbuqFCjqwwdftsPOwZb1GeRPf9a1qVmGoPAodpy4nOpYg/JFWTakm2m7TulCtK5ZmqJ5PMnr4ULdMoX5X6dGHLpwg5vB5jf129Qqy9FLt7hwK+3ZzxYW0KpmGVbtOWm6EZdTFHTwpahTXpxtHHC0zkVRp7wUdcoLgBEjl6MCzP4PjY8k3pDI5agAYg3JT/m1zleHCRXfMdXpYuPIy3lrUcDBh6JOeXm/WBvqe1fku3PmT5vcu1YuKztcbRwp6pSXgg6+puOd/BrSvXBzJp5eQEBsMO62zrjbOmNvZfsERkZE5OlnwPjE/88pcspMeZFs0aJFC+rXr5/dzXiirl+/TqNGjVi+fDmlSpUy7T937hzffvstJ06c4MaNGwwePJju3btnX0PlqWA0Qr/Jy/m0S0Omf9aR2LgEdh67xDfz7v+D3t7WmkJ5PbC2Sr6HW72MH3653fHL7c7qr3ub1Ve921em1y3rlObDTvWwsLDg2PmbvDtmIScv3p8ZHROXwAcTFvNpl4bMHtaZsMhYNuw9ww9L0s+l+yxrW7EUA16qi4WFBYev3eKNXxZx7Mb9HLm5bGwo4u2BjdX9WXP9l6zl8xYNmdXtVQxGI+tOnmPU2s0PVC/A8ne7mF6XzefLK+VLcSMkjEZf//x4OptNGrepgr2DLZ3eaUCndxqY9h/dc5GBb/wIgIOzPQWK3J+1HxeXQLMO1ek9+GVsbK0JvBXKzvUnWPjjZlOZ29dDGPr2LN4e/DJt3niBoIAwvh6ylIPbz5nKTBu5gjc+eon3v2iDm6cTwXfCWbNgL79/t/Hxd/wJa9ymcvI4v92ATm+nGOe9FxnYbQYADk7/GufYBJp1qEbvQS2TxzkgjJ3rj7NwxhZTmQ3LD+LgaMcrnWvx1oAWREXEcmT3BX6e9KepjIe3M98t+9C0/WrPerzas57ZtXOK6PAY/td+Mu9PeJ0pmz4n7G4EcyesYu3s+9/Pji65KFAij2n7+rkAvvi/KXQZ+AqT1w3GaDBy/uhVhrz6NcEp0rhYWFjQ5PUXWD9vJ4Z0gof5i/lStlYJBrf9Ks3jOUXjdlWT38/vNaLTe41M+4/uvsDA16cB/3xvFL3/fjYYjAzr+TMfjGzHV0v6EBcdz4al+/lt8l+mMrevBzO050zeHtKKNt3rEhQQyteDF3Fw2/3FDreuPoKrhxNdPmmKh5czF07d5PPuP6VaUDSnuBe0XrnnRJrrbDjnsqNw7vs3c2MTEmlXuxyftquPjbU1t0Mj2Hj4PL+sN7+h4GRvS6OKxZiweHO6167p70deDxeW7364me1Ps9Hle5E71/1x+7HapwA02tQ3vVNScbVxJK+9l9m+prmr8U7RVmABJ8Ou0Pfwd5yJMJ+Rfu9aAP4uBWicuwoBMcF03j0SgFfy1sbW0pphZbubnTf70l/8evkvREREHpaF8d/P94oIkH5g+EHEx8dja/tkZjgkJSUl5wy0fLwPjqQ3LkePHmXt2rWULVuWMWPG8NZbbz1UwLyJZYdH2FpJT1jXWtndhOdCeKHnMdHDk1d4vhbPeyIs9X5+EowBWV84Tx6ehbtbdjfhuXCrRb7sbsJzwbP9texuwnPBspHGWUQezHrDomy9fsytwk/8mrny5IzUZErJIs89g8HAjBkzaNKkCWXLluXFF19k2rRppuPXrl2ja9euVKhQgVatWnHo0P2Fx/6dkmXKlCm0bt2aRYsW0bBhQ8qXLw9A165dGTFiBCNGjKBKlSrUqFGDr7/+OlU+2n8LDw9n6NCh1K5dm3LlyvHyyy+zadMms2tv3LiRFi1aUK5cOW7evElYWBgDBgygWrVqVKhQgbfeeovLly8DYDQaqVmzJn/+eX82XevWralTp45pe//+/ZQtW5aYmLTzEzdqlDw7qk2bNvj7+9O1a1cAypcvz8CBA2nZsuUTu0kgIiIiIiIiIiKpGbLhv5xCKVnkuTdp0iQWLVrE4MGDqVKlCnfu3OHSpft3xCZPnszAgQMpWLAgkydPpl+/fqxbtw5r67Q/PlevXuWvv/5i6tSpZrO9ly1bxquvvsqiRYs4fvw4Q4cOJW/evLz22mtp1mMwGOjVqxdRUVFMmDABPz8/zp8/b1ZnbGwsM2bMYOTIkbi5ueHp6Unfvn25cuUK06ZNw8nJiQkTJtC7d29Wr16NjY0N1apVY+/evTRr1oywsDAuXLiAvb09Fy5coGjRouzbt49y5cqRK1euNNu1aNEiOnTowKxZsyhWrBg2NjZplhMREREREREREXnWKGAuz7XIyEh+/fVXhg4dStu2bQHw8/OjatWqXL+evMp6jx49ePHFFwH48MMPadmyJVeuXKFo0aJp1pmQkMD48ePx8DBf8C5Pnjx89tlnWFhYUKRIEc6ePcusWbPSDZjv3LmTo0ePsmbNGgoXTn6MpkCBAqmuNWzYMEqWLAnA5cuX+fvvv5k3bx6VK1cGYOLEibz44ots2LCB5s2bU716dRYsWADAvn37KF26NF5eXuzdu5eiRYuyd+9eqlevnu6Y3euXm5sb3t7e6ZYTEREREREREZHskaQs3A9NKVnkuXbx4kXi4+OpWbNmumX8/f1Nr+8FiIODg9Mtnzdv3lTBcoAKFSpgYXE//2vFihW5cuUKSUlJ/PDDD1SqVMn0/82bNzl16hS5c+c2BcvTYmNjY9a+CxcuYG1tTYUKFUz73N3dKVy4MBcuXACgWrVqnD9/nuDgYPbt20f16tWpXr06e/fuJSEhgUOHDpkC5kOHDjVrl4iIiIiIiIiISE6mGebyXLOzs8u0TMqUI/cC3gZD+nmZ0ktlkpFOnTrRvHlz07aPjw/29vaZnmdvb28WhM8Kf39/XF1d2bt3L/v27ePjjz/G29ubn376iWPHjpGYmGgKjn/00Uf07NnzwTojIiIiIiIiIiLZyoBmmD8sBczluVaoUCHs7e3ZvXt3qnQnj9rRo0fNto8cOULBggWxsrLCzc0NNzc3s+P+/v4EBARw6dKlDGeZp1S0aFESExM5cuSIKSVLSEgIly5dolixYkBy0P/eYqHnzp2jSpUq5MqVi/j4eBYsWEDZsmVxcHAAwNPTE09PT7Nr3LuBkJSU9MBjICIiIiIiIiIi8jRTwFyea3Z2dvTq1YsJEyZgY2ND5cqVCQ4O5ty5c9SqVeuRXuvmzZuMGTOGjh07cvLkSebMmcPAgQPTLV+9enWqVq3Khx9+yKBBg/Dz8+PixYtYWFhQr169NM8pVKgQjRo14vPPP2f48OE4OTkxceJEfH19adSokVnd48aNo2zZsjg6OgJQtWpVVq1alemMck9PT+zt7dm2bRu5c+fGzs4OZ2dn4uPjTWlf4uPjuX37NqdOncLBwYGCBQs+6HDJc8LG2opfhv4fJQr60Pnz3zh3NTDNci6O9vRuW4saZQvi6+lCaEQ0Ww5c4IelO4iKiTcr27JOaV5vVgU/X3eiYuPZuPcsE37723S8cfUSdH+5On653QmJiGHRhsPMWbv/sfYzu9lYWbGwVydK5fGhzbQ5nA5Ie5xdc9nRp0EtXihakDyuLgRHRbPx9AW++XsnkXHJ49y2YmnGtG2a5vm1x/9AcFQMAK9Xr0Dn6hXI5+bKrbBwfti6lxVHTj2eDj4FqtX35/X3G1HYPw/xcYkc23eRL9//Ld3ytZuUoWWnGhQrkw8Xd0feb/0NF0/fMiuTp4AHbw1sSZkqBbGxtWb/trNM+3IloXcjTWVmbRyIb353s/N+nriWRTO2PNoOPkVsbKyYvOA9ipbKy/ttv001bik171CNF1+uSLHSeXFwsufV6sOJiog1K9Pp7RepVr8kRUrmITEhiQ41RqSqp2LNonT9sAmFSuQmNjqejSsOMuvrdRiS0n/i7FlW/aVyvN7/FQqXyU98XALHdpxlRJfvMjynQIk89BzWnnIvlMDKyoqrZ27yZbdpBF4PxsnNka6DW1GlQRm883sQdjeCXasPM3v0cqLDk78zCpfNT8ePm1OmZnFcPJy4ffUuq3/ZzIrpG59El5+4WVs/wze/eQq/n8evZtEPm9Is75PPndnb/pfmsVHv/8r2tfcnZjRuX5V2PeuRr7A30RFxbFt7hO+/WGY6XrdFBTq+15B8hb0JC45i1a87WDJj83/v1FOqbpnC9G5eg+J5vYlPTOTAuet8MmNVuuXfaVGTppX9ye3uTEJSEiev3mHqqh0cvxJgKvP1263wz+eNh7MD4dFx7DlzlW9WbCMwLAqAqsXz07lBZcoWzI2TvS1XA0OYveEAa/affuz9zS41PEvRtdBLFHHMS7whgaOhFxh6/Jd0y79RqCkNfCribe9GoiGJsxHX+fnSGk6HXwXA196drgVfoqJ7MTxsXbgbH8aGgAPMvbKBRGPyxB0bS2s+KfEqxZ0LUNDBh913T2Z4TRGR502SZpg/NAXM5bn33nvvYWVlxbfffsudO3fw9vamU6dOj/w6bdq0ITY2lg4dOmBlZcUbb7xBx44dMzxnypQpjBs3jr59+xITE0PBggXp169fhueMGTOGUaNG8c4775CQkEDVqlX58ccfzVLLVK9enaSkJLPFPatXr87GjRszXPATwNramiFDhvDdd9/x7bffUrVqVX777Tfu3LlDmzZtTOV+/vlnfv75Z6pXr85vv6UfNJKca9qgDvyx/QSrt59Mt0yfjnUJDI2iRCb3VLzcHPFyc+Kb+Vu5dPMueTxdGNS9MV7ujgye+oep3OtNK/N686pMmb+V4xdvkcvOhjxeLqbjtcoXYsTbzZk4ZxO7j1+hcF4PPnuzCXEJiSzacPi/djlb/Nr9VZYdPsmyw+mPc/+X6nInIopSeTKuy8fZCR9nJ8b/tY3zgXfJ6+bC8Jcb4ePsxEcLk8d5zfEzbDt/2ey8MW2aYmdtZQqWd6pWnr6NXuDzlRs4dvM25fP58mWrJoTHxLHp7MX/1N/sMu7X3qxfdoANyw6kOvbCS2X56Mt2zJr8F0d2X8DKypKCJXwzrM/ewZYTB6+wde0xPh7VPtVxu1w2jPq5JxdP32JQtxkAdP3oJYb90I1PXvseY4oFfH79Zh1/Ltxr2o6OinvYbma7cbN7JY/z8oPplunxaXOCAyMoWirz+uxy2bJ/21n2bztLj37N0ixjbWPNtr+OcerwVZq2r5rqeGH/3IyY3p350zcxcdAivHxd+OCLNlhaWvDThLVZ7tvTZPyq/qz/fQfr5+1MdeyFVyrz8Tfd+OXLpRzZehora0sKlsqXYX15Cnkzae1A/pqznd/GrCA6IpaCpfISH5sAgGceVzxzuzFj6CKunr6JTwFP+nzVBY/crozq/gMAxSsUJDQwgvG9fyLwRjClaxTjw8ldMRgMrJqRdhD5aTfu93dZv2QfG5akfVP216/+5M/5e0zbGX12g26F8nr14Wb7mv9fTdr3qs/+LfeDsG171qNdz/rMHPsHZw5fxc7BFt9892+qVa1fkgGTX2fa8OUc3HaGAsV8+Wj0q8THJrDqtx0P29Vs9dNHr7Jy90lW7kn9e7BRxWIM/b8mTFm1g71nr2JtaUmxPF4Z1nflTghjF23ielAY9jbWdG5YiWkftKPV8F8IiUz+Pbf/7DVm/rWXoLAofNyc6Nu2HhN7vky3rxYAUKFwHs7dCGTW+n3cjYimXtkifPlGUyJi49h2/NKjH4QnYFLF91gXsI+/AvalOlbXuzx9/V9j5sXVHA45j5WFJYUcc2dY3/XoQKacW8qtmLvYWtrwaoH6jKvwNm/sHk1YQhR+Dr5YWFgw+cwibsYEUcgxD/1Kvoa9lS3TLyTf8LDCkjhDAsuub6Oud/nH0m8REXk+KWAuzz1LS0veffdd3n333VTHzpw5Y7bt4uJitq9du3a0a9fOtN2nTx/69OmT5nWsra353//+x/Dhw9M8nhY3NzfGjBmT5rF/X/seV1dXxo8fn2G9pUqVStW37t2707179yy1q0OHDnTo0MFsX/78+VPVKZKRWuULUaNsQQZNWcULFTJOO3Txxl0GTb0/G+zGnTCmLd7O8LebY2VpQZLBiLODHe+0f4F+Xy9n38lrprLnrwWZXreoXZotBy+wdFPyTLybgWHM/mMvb7So9swGzDNTt1ghXijqx4cL/qB+iYzH+dydu3y44P4NiGshYUzeuIMJ7ZuZxjkuMYm4yGhTGXeHXNQoXIAhK9ab9rUuX4oFB46x9sRZAK6HhFEuX27eqlP1mQ2Yp8fSypJ3/vcKP01Yw7rF94NiVy/cyfC8v1ccApJnjaalTOVC+ORz54M235qCaJMGLmTRvi+oULMoh3edN5WNiYojJCgyzXpymqp1S1D5heKM+mgu1er5Z1p++a/JAcBy1dJ/78+ZugGAxm0qp3m8XvPyXDoTwO/fJz+pcuvqXX6euJbBk19n7ncbiYmOT/O8Z5GllSXvjOnET0MX8dec7ab9V8+kP4sfoNvnbdm3/hgzv1hs2nfr8v0nWa6cusnIbtPMjs0euYz+09/C0soSQ5KBdXPNg7UBV4IoVa0IL7xc+ZkNmGcm+bMbkaWyBoMxVdnaL5Vl25ojxP7zHnRyycUbfZsxvNfPHN55/zvicoqnMBq2rcyu9cdZ8/suAAKuBbNw2t90eLvBMxswT4+VpQUD2r/I5OVbWb7rhGn/xYDgDM9bu9/879lJS7fSrnY5iuf1Yu/Z5L8v5mw6ZDp+KySCn9fvY3KvVlhbWpJoMDBznXlQ+ffNh6hV0o9GFYo9swHz9FhaWPJ+sTb8eGEVa2/dvwF0Jfp2huf9fcf8xui08ytokbcmRZzycijkHPuCT7Mv+P7NoFuxwSy8uplX8tU2BcxjDfF8c3YJAGVdC+Fk/eBrSYmIiKRFAXMREXniPFwc+OzNJgz4ZiWx8YkPVYeTgx1RMfEkGZJn2tYoWxALCwu83Z1YMKYbDva2HDt/k6/nbeFOcHIw0cbaitj4BLN64hIS8fV0Jo+XC7eCwv9bx54yno4OfNmqMR/MX0VswsONs7O9HZFx98f539pULEVsQgJ/nTxr2mdrbUVcovn1YhMSKZcvtymYkFMUK50Xr9yuGA1Gpi77EHcvJy6cvsXM8Wu4ci7jYEFGbGytwWgkIcXnIyEuEaPBSJkqhcwC5h16vcj/vduQwFthbPrjMMtmbc+RqULcPJ34aEQ7RnzwG7ExTy5IbWNrTXzcv7434hKws7ehWJl8HNuXc4JfxSoUxDufBwaDkalbhuLh48KF49f4aegirpy6meY5FhYWVG9SnsXf/smoxR9TtLwfAVeCWDB5DbvWHE73Wo4uDkRHxGb4XnV0cSAiJOq/duup1eGdBvzfB40JvBnKppWHWPbz1ix/douVzUfRMvn47oulpn2V6pTA0tICT19Xpq/rj4OjHScPXmHG6JUE3QoDkt/PcTH/ej/HJuCd1w2ffO7cuRHy6DqYzUoV8MHX3Rmj0cj8gZ3xdHHkzPU7TF6+jQu37mapDmsrS9q/UI6I6FjO3kgnbZyDHS2qluTIpZsZ/n5zymXHxdsZB+ufRcWd8uNt74bBaOCHqn3xsHXhQuQNpl9YxeWogMwrAKwtrGiZtxaRCTFciEz7uwbA0dqeiITodI+LiIg5Lfr58BQwFxGRR6L7y9Xp/sr9lD52ttaULZqH/l0bmvZ1HDyb28ERDO3VlGWbjnLq8m2zlClZ5epkT49WNVm++ZhpX15vVywtLej+cg2+mruJyJh43mlfm6n9X+X1Ib+SmGRg9/HLfPL6i6zefoL9p65RwMeN15tVAcDL1fGZCJi/XbcaveveH2d7G2sq5M/DkBYNTPte/u5XboVFMKbtS8zff5TjN2+Tz+3Bx9nNwZ5369dg4YFj6ZZpX6ksfxw7Q1zi/YWAt5+/wquVy7Hx1AVO3LpD2by+vFq5LLbWVrg75CIw8ukPgHV8+0U6vn1/TG3tbShZsQDvfd7KtO/tll+Rp0ByDuLOHzRmxtjV3L4RQrs36zLut9681XQikWExD3X904evEhuTQI/+zZn11V9gAT36NcfK2goPb2dTuRW/7eD8yZtEhEVTulJBuvdthoe3MzPGrn7Inj9ZHXu/SMfeL5q2be1tKFmhAO8NSTHOr0wm8FYYfUe/yuoFezh34gY+ed2eWBsPbj9HmzdeoH6LCmz78yjuXs68/l7yuiAe3g/+ucoOHfu2oNMnLUzbtrlsKVm1CO+Nf920r3etoeQplJyqosugVvz4vwXcvnqX9h+8xPhV/elZdQiRoak/u27ezjg42/Pax82ZPWo5M4ctoWrjsnz+23sMfGUix3aeTXWOi4cT/9f/ZdbO3ppum0tVL0q9tlUZ2vHb/9L1J6rjew3p+O79NWNs7W0oWcmP94a1Ne17u+kEAm+GsmL2ds4fv5H82a1ciO79m+Ph48yMUenn1k6p6Ws1uHruNqcOXjHty+3ngYWFBR3fa8QPI5YTHRHLG/2aMfrXt3mvxSQSE5I4uPUMvYe0ZsOSfRzZdYG8hTxp91Z9ADx8XJ6JgHnPl6rRs2mKvzdsrClXKA+DXrv/nd1u5K/k83IF4O0WtZi0dAs374bzRqMq/PRRB1qP+IXw6PRT4NQtW5hxb7bA3saGoPAo3pm6lNAo8/UPPmpdh071KpLLzoYjl27y4Q8r0q3vpUolKOPny8h5z05O/tcLNuJ1v8ambVsrG0q7FKRP8ftPuPbYO468uZJ/D3Yr3JRp51cSEBNMB78X+arie3TbM5aIxPQD3DU9SzOkdFfsrGwIjo9gwJEfCE9I+2+EvLm8aJO/DtPPZ+0zIiIi8l8oYC7yBCiHtzwPlm46yoa99wMjI95pzqb959i0//5M2KDQSF5rUgkHe1tmrdqbVjWZcrS3ZXLftly6eZcfl+8y7be0sMDG2opJczex53hyAGHItDWs/fZtqpYqwO7jV1i++Rj5fdyY9ElbrK0siYqJZ8H6g/RuWxuD8dm4+z5//1FTqhOACe2bs+7kedafOmfadycikq41KuJoa8uP21LnGs0KRztbpnduw4XAu0zdtDvNMhXz56GYjycDl/5ptv/7LbvxcnJgfq9OWGDB3aholh85Sa861Z6ZcV49fw9b196/UTBgYkd2rDvOjnX3H+u/eycCC0sLABb8sIkd644DMHnwIn7bOpi6zcqxdsHDvc/DQqIY/dFcPhjWhlZda2M0GNm8+gjnjl83y1++bNb9tBmXzwSQmJBEn+FtmTXpTxISktKq+qmyesEetv6ZYpzHd2TH+uPsWG8+zq261MbB0Y6FP25+4m08uPMcMyespc+wNvQf14GE+CR+n/Y35aoWxmh8Nmbyr/55C1uX3U8ZNPDHt9i+6iA7Vt1PiXD3Vqjp/Tx/0mrTsa/e/4XfTkygXpsqrJmVOsB975xdaw+zbFpyaqaLx69RunpRWvaonypg7uBsz4gFH3L1zE3mjF2ZZnsLlsrLF3M/YO64VRzclP76DE+b1XN3sXX1EdP2gMmd2fHnUXb8df89fvd28o3ZZTPvj+Xl07dITEikz8hXmTVhDQnxGX92be2sebFVJeZN2WC239LSAhtba34YvpyD25PHfdxHc5m75wvK1yzKwW1nWTt/D3kKejHsp55YW1sSHRnH8lnb6PpxU4zpPEn0tFm0/SjrDt5/X43u3pyNh8+z8fD934OBYZFYWiS/N2f+tZeNh5P/Fhk6Zx1/ffkWTSqVYMmO9G8G7zt7jY5j5uDmlIt2tcsxvkdLukycZ8phDjB7w36W7TpOXg8X3m5ek5Fdm9InjaB51eL5Gd7lJUbM28CFgKzNbH8arLqxi8137r+fPyvdmW2BR9kWeH/cguLDscASgLmXN7AtMDnl3YRT85hf+wvq+1Tgj5u7SM/hkPP03j8JVxtHWuapyedl3uCDA98QmmCeZszL1pWx5Xuz9c4R1txK+28SERFJLekZ+bfX00gBcxEReSTCo2IJTzH7Ki4+keDwaK7fCTUrV61UAcoVy8P2mR+Z7Z89rDN/7TrF8Bl/pXsNB3sbvvm0HdGx8Qz4diVJKR5dDwpLnpF06cb9f4yGRsQQGhGDr+f9WaBTF27j+0Xb8XRzJCQ8mmpl/AC4ERj24J3OBmExcYTF3J8VF5eQSHBUNFeDzdtfo3ABKhbIw9HPPzTbv7j36/xx7DSDlqU/zo62NvzUpS1RcQl8MH9Vuo+Yv1qlLCdv3eHELfN83XGJSfxvxXq+WLURTycHAiOieK1qOSJj4wiOfjYepY4MizGbHR4fm0jo3ShuXTUPdgQHJucUvnrhfvqVhIQkbl0LxieP239qw8Ed5+jRZAIu7g4kJRqIiohl7vb/cWvN0XTPOX3kKtY2Vvjkd+fGpaB0yz0tUo1zXAKhdyNTjXOFGkUoWdGPlUe+NNv/7aL32fTHESYNXvRY27ls9naWzd6Oh7czkeEx+OZzp0e/ZgRce/pn4wJEhkaZzQ6Pj00gLDCcW5fMP7vBAcnfI1fP3E+JkBCfSMDlQLzze6ZZd/jdSBITErl62jyNwtWztyhTs7jZvlxOdoxc/DExkbGM6PIdSYmpA8N+/nkYu/xT1s7eyrxJz8aTEvek/t745/18JfMg6enD/3x283lw41LaqT/uqdO8PHb2NmxcZr6YaPCdf76Pzt//PgoLjiI8JAqfvPfXS/h53GpmTViDu7czYcFRVKyd/HMKuPZsBHPDo+PMZofHJSQSHBHNtSDz34OB//xdkDL9SkJiEjfuhpHHw5mMxMYnci0ojGtBYRy7HMDKod1pW7ssP6fITR4aFUtoVCxX74RyMSCYdSN7Ub5wHo5eup8zvkqxfHz7TmsmLt3CH3tP/ad+P2kRidFms8PjkhIIjY/kZoz575bg+OSbQClzlicYk7gVexcfO7cMrxFriOdmTBA3Y4I4FX6F2TUG0zxPDeZdvT8T39PWhUmV3uVE+CW+OvN4v+tFRETuUcBcRESeqIlzNjFtyf2FxbzdnZjSvz3/+341Jy6kv7Cco70t3/ZvR3xCEv2+XkH8v2bPHj17A4CCedy5E5I8M8nF0R4351wE3DVPtWIwGgn8p0zTmiU5eu4moREPlzrjaTVq7Wa++XunadvH2ZGZb7Sn76LVHLmRfk5RRztbZnZtS3xiEu/NW0F8GgEtAAdbG5qXKcFXG7aneRwg0WDgdnjyOLcs68/ms5fIaZMczh+/QXxcAvkKe3PiQPKTDVbWlvjmc+fOzdBHco3wkOSARYWaRXHzdGT33+nPuC1aKi9JSQbC7j79aW8exA+jV/Hrt/cXlvX0dmHUzB6M6TuPM0evZXDmo3XvBsmLLStw52Yo50/eeGLXfhLOH7lCfGwC+Yvl5sTu5Bm5VtZW+Pp5cSedYGpiQhJnD10mf/HcZvvzFfU1O8fB2Z5Riz8hIT6RYa9PJSEu9boKBUvmZeyKT9kwfyezRy57hD17+hUtfe+zm/kCvk1fq8GejScJCzb/nJ88kJxPP38Rb4L+ufnh5JoLF3fHVKlWDAajabZ7/VcqcvLA5VT1PetOXbtDXEIihXzdOXwx+YaOtaUleT1cuBWctcVW77GwsMDW2ird4/dms6csU7V4fr59pzXfrNie4Wz2Z93ZiGvEJyVQwMGH42HJ70ErC0ty23twO/bBbipaWlhgY3k/ROFl68qkSu9yNuI6E07Nx6hcvCIiD+TZeBby6aSAuYiIPBK57GxwsLcxbQ+Zljwz0NPVwbQvJDyG2//6R2rMP4vpXb8Tagp0e7s78d2AVxk2409OXgz4J1jeHns7a4ZOX4tTLlucctma6jQYjVy9HcqWA+fp27kBo39ZT1RMPO93qMOVW8HsP5UcUHN1sqdRtRIcOH0NWxtrXqlbhobVSvDOmIWPb2AeMQdbGxxs749z38VrAPByuj/OwVEx3AozH+fofxY7vRoSZgpi+zg7Mqvbqwxc9ifHbtz+J1jejlw21vRf8idOdrY42dma6kyZTqV52RJYWVqy8ujpVG0s5OlGuXy5OXo9AJdcdnSvVYXiPp4Zzmp/2tg72JLLwda0Pbbv7wC4ezmZ9oUFRxEdFcea+Xvo2qcJQbfCuH0zhFd7JucD3pYi1ciPa/sya9Jf7NyQnGrEyTUXPnnc8PRJfvohf2FvAEKCIggJSv75NGlXhWsX7hAWHEXJSn6889krLJu1wzRzvGRFP0pWKMCR3ReJiYqjVCU/eg9+mU0rDxEZ/mzcAEo1zv3mAanHOfBWGHB/9mhMVPLs0lvXggn6J+jn6ePCmF96MnHQIs4eu26qx93LmbwFk2dHFyqRm5ioOO7cCjXNBPbO44qzqwM+ed2wtLKkSMk8ANy8epfY6OTFRdv3qMuBbWcxGI280KQsHd6qz5i+8zA8Iyks7B3tyOVoZ9oe03M6AO4+95++CQuKIDoiltW/bKbLoFYE3gjmzrW7vNqnGQDblt+fzTxjz5f8MmIpO1cfAmDxt38x+Oe3ObbzLEe2naFq4zLUbFaBAa9MAP4Jli/5BHsHO8a//RMOzvY4ONubrmswGClYKi/jVnzKgb9PsPS7daa2GbIYRH4aJL+f74/z2A/nAODudX82c1hwJCUq+FGyoh9Hdp1P/uxWLkjv/7Vm0/KDps+up68LY+a8w8R+8zib4qZQnoKelK1emKE9Zqa6/o1LQexcd5y3P2/Dt/9bRHRkHG/2b8H1C3c48s8NEBd3B+o0r8DR3eextbOhyavVqNuiAgM6ff9YxuRxyGVrg4Pd/d+DA39O/j3o6Zzi743IGKJi41m8/SjvtqjF7ZAIbgZH0K1x8rolKVO6LBvSjW9XbmfT0QvY21rTq2kNNh+7QFBYFG5OuehYrwI+bk6sP5ic8qVswdyUKejL4Qs3CY+OJb+3G++3rM3VwFCO/DO7vGrx/Ex5pw2/bz7EhkPnTG1LSErKMHf608TeypZcVvffzyNPJqeYdLdN8X6OjyQ6KY5VN3fRrVBT7sSGcDs2hI5+yfnktwTeT+nyS/WB/HRxDTuCjmFvaUvnQo3ZGXSCu3HhuNo40jr/C3jZurLlzmHgXrD8PW7HhjD9/Cpcbe//XgiJv/83TkEHX6wtrXC2ccDByp6iTnkBMlw8VEREJDMKmIuIyCPRpXlVerWtlWGZ1v1+ytLCmtZWlhTK64G9bfKvKf9CPpQrlhzEWjahZ7p1DvvxTz55/UUm922L0Wjk4OnrfDhxqVnqlpZ1SvNhp3pYWFhw7PxN3h2zkJMX059x/bTpUbsKHzTIeJwbTZ7JjdDMx9nGyooi3h7kskkOPJTJ40PFAsnjvP7jHhnW+Wqlsqw/dY6I2NT/8Le0sOTN2lUo7OlOosHAnkvX+L+fFmSpTU+L9j3q0aVP4wzLdGs4jjs3Qvhp/BqSEg18Ov417OxtOH3kGoO6zTALWhco4mMKEALUbFiafmM7mLYHf528+OKcKRuYOzU5L3H+wt5079sMZ9dc3L4RwvwfNpnlLE+IT6R+iwp0/qAxNrbW3L4ezLJZ21n2y7ZHMgZPQvs369Llg0zGudG4LM3Wt7K2pEARH+xS3Lhr0bGGWf0T57wNwKTBi9iwPDlHd9c+TWjStoqpzHfLktMYDXjjR47tS54tWbWuP53eboCNrTWXztxixAe/sX9b6sUsn1avftCULoNaZVimW/mB3L52l5+GLiYp0UD/H97C1t6GMwcuMaj1RCLD7qdmKFAiD44uuUzbO1cfYkrf3+j4SQveHft/XD8fwJdvTDPNUi9WviClqhUF4JdDY9K8bt1WVXHzdqFRx1o06nj/O+721SC6VRj0n8fgSWjf60W6fPRShmW61R2V/Nl9uSKdP3op+bN7LZhlv2xl2cwtpnJW1lYUKOqDXS5bs/Nf6lCdoIAwDqbz/pv06Tx6D2nF8Jk9MRqMHNt7kSFvziAp8f7vwcbtqvDW4JexsLDg1KHLDPy/aWZB+addt8ZVeKdFxr8HWwydyc3gcCYv20aiwcDIN5phZ2PN8SsB9P52CREpUpsVzu2Bc67kwLDBYKSQrzuTaryCm6M9odGxnLhymx6TF5ryj8cmJNCoQjHebVmLXLY2BIVFsePUZX76eQ8J/zyV1apGaXLZ2dCzaXWzBUr3n7vGW98sftRD8li8VqAB3Qo3zbDM67u+TA5oX1hJkjGJwaU7Y2tpw+nwK/Q79D2Rifd/D/o5+uJknfx7MAkDBRx8GFa2Gi42joQnRHEm/BofH5pqSu1SxaME+R28ye/gzYIXvjC7bqNNfU2vR5fvRe5/Fh4F+LHap6nKiIg8r5L0ZM5DszAac9rD0SLyLGti2SHzQvKfhXXN+B+a8miEF7LI7iY8FwrPv515IfnvLPV+fhKMARnnr5ZHw8LdLbub8Fy41SJfdjfhueDZ/tm54fEss2ykcRaRB7PekL1rL1y7keeJX7NAvvTTrD5LLLO7ASIiIiIiIiIiIiIiTwOlZBERERERERERERHJQZKUU+ShaYa5iIiIiIiIiIiIiAiaYS4iIiIiIiIiIiKSoxgyLyLp0AxzERERERERERERERE0w1xEREREREREREQkR0nCIrub8MzSDHMRERERERERERERETTDXERERERERERERCRHMRizuwXPLs0wFxEREREREREREZEnZvr06bRv355KlSpRq1Yt3nvvPS5evGhWJi4ujuHDh1OjRg0qVapEnz59CAoKyrBeo9HIN998Q506dShfvjzdu3fn8uXLD9Q2BcxFRERERERERERE5InZu3cvnTt3ZuHChfzyyy8kJibSs2dPoqOjTWVGjx7Npk2b+Prrr/ntt9+4c+cOH3zwQYb1zpgxg99++41hw4axcOFCcuXKRc+ePYmLi8ty25SSRURERERERERERCQHedoX/Zw5c6bZ9tixY6lVqxYnTpygWrVqREREsGTJEiZOnEitWrWA5AB6ixYtOHz4MBUrVkxVp9Fo5Ndff+Xdd9+lcePGAIwfP57atWuzYcMGWrZsmaW2aYa5iIiIiIiIiIiIiPwn8fHxREZGmv0fHx+fpXMjIiIAcHV1BeD48eMkJCRQu3ZtU5miRYuSN29eDh8+nGYd169fJzAw0OwcZ2dnKlSowKFDh7LcD80wFxEREREREREREclBsmOG+fTp05k6darZvg8++IA+ffpkeJ7BYGD06NFUrlyZEiVKABAUFISNjQ0uLi5mZT09PQkMDEyznnv7PT09U52TWe7zlBQwFxEREREREREREZH/5O233+bNN98022dra5vpecOHD+fcuXP8/vvvj6tpD0QBcxEREREREREREZEcxGB88jPMbW1tsxQgT2nEiBFs3ryZOXPmkDt3btN+Ly8vEhISCA8PN5tlfvfuXby9vdOs697+u3fv4uPjY3ZOyZIls9wm5TAXERERERERERERkSfGaDQyYsQI1q9fz+zZsylQoIDZ8bJly2JjY8OuXbtM+y5evMjNmzfTXPATIH/+/Hh7e5udExkZyZEjR6hUqVKW26YZ5iIiIiIiIiIiIiI5SHbkMH8Qw4cP548//uD777/H0dHRlH/c2dkZe3t7nJ2dad++PWPHjsXV1RUnJydGjhxJpUqVzALmzZo1o1+/fjRp0gQLCwveeOMNpk2bRsGCBcmfPz/ffPMNPj4+NG7cOMttU8BcRERERERERERERJ6YefPmAdC1a1ez/WPGjKFdu3YAfPbZZ1haWvLhhx8SHx9PnTp1+OKLL8zKX7p0iYiICNN2r169iImJYejQoYSHh1OlShV++ukn7Ozsstw2C6PRaHzYjomIPGpNLDtkdxOeC2Fda2V3E54L4YWe7jv6OUXh+bezuwnPB0u9n58EY0BgdjfhuWDh7pbdTXgu3GqRL7ub8FzwbH8tu5vwXLBspHEWkQez3rAoW69/8KrfE79mZb+rT/yaj4NmmIuIiIiIiIiIiIjkIElauvKhaeRERERERERERERERNAMcxEREREREREREZEcxWBUSsWHpRnmIiIiIiIiIiIiIiJohrmIiIiIiIiIiIhIjpKEZpg/LM0wFxERERERERERERFBM8xFREREREREREREcpQko+ZJPyyNnIiIiIiIiIiIiIgImmEuIk+ZvLtdsrsJz4eau7K7Bc8F1+xuwHMiMbsbICLPnrCw7G7Bc8H7+yvZ3YTnw/fZ3QAREZGcRQFzERERERERERERkRzEoMQiD00jJyIiIiIiIiIiIiKCZpiLiIiIiIiIiIiI5ChJWGR3E55ZmmEuIiIiIiIiIiIiIoJmmIuIiIiIiIiIiIjkKElGzZN+WBo5ERERERERERERERE0w1xEREREREREREQkRzEoh/lD0wxzEREREREREREREREUMBcRERERERERERERAZSSRURERERERERERCRHSdI86YemkRMRERERERERERERQTPMRURERERERERERHKUJKPmST8sjZyIiIiIiIiIiIiICJphLiIiIiIiIiIiIpKjGDRP+qFp5ERERERERERERERE0AxzERERERERERERkRwlyWiR3U14ZmmGuYiIiIiIiIiIiIgImmEuIiIiIiIiIiIikqMkaZ70Q9PIiYiIiIiIiIiIiIiggLmIiIiIiIiIiIiICKCULCIiIiIiIiIiIiI5isGoedIPSyMnIiIiIiIiIiIiIoJmmIuIiIiIiIiIiIjkKFr08+Fp5ERERERERERERERE0AxzERERERERERERkRwlyWiR3U14ZilgLiLPBUO8gYu/nCfqciQxN6Nxr+iB/yelU5dLMHB9+VWCdgSSEBaPjZst+dsUwKd+7nTrjguK5dKsC4SfCsPSzgrvuj74vVYIC6v7v5wC1t8kYMMt4gLjsPO0I1/r/HjX8U2zvqBdgZz//gzuldNuo4iIiIiIiIiIPB4KmIvIc8FoMGJpa0nul/ISvC8o3XLnpp4mISyBom8Vx87XnoTQeDBmXO/pSSexdbWlzNDyxIfGc2H6WSysLPB7rRAAARtucW3hFQr3LIZTEWciL0Rw8efzWDtY417Z06y+2MBYrs67hLO/y6PotoiIiIiIiIg8hwzKxP3QFDAXkeeClb0VRd4sBkDE2XCSohNTlQk9GkL46TAqTaqKtZMNAPbe9hnWG3oshJgb0ZQaVBZbV1scC0KB9gW5uuAy+dv5YWltSdCOO/g0zI1XTe/kOn3siboUwc3VN8wC5kaDkfPTzpC/nR/hZ9Juo4iIiIiIiIiIPD661SAi8o+Qg3dxLOzEzdU3OPDhXg7338+V3y9hiE9K95zI8xE4FHDE1tXWtM+1nDtJMUnEXI8GwJhowNLG/OvW0saKyAsRGBINpn3Xl13FxsUGnxfTT/8iIiIiIiIiIiKPj2aYi4j8I/ZOLBFnw7G0scT/o1IkRCRwafYFEiMTKNq7RJrnJITGY+NqY7bv3nZ8WDyOJAfQ72wOwL2KJ46FHIm6FMmdLQEYk4wkRiZi62ZL+JkwArfcptyoSo+7myIiIiIiIiKSwyUZNU/6YSlgLiJyjxHAgmLv+mPtkPz1aEwwcHbKaQp3L4qlrdVDVZu/TQESwuI5MfwIRqMRG1dbvOr4cGv1DbCApJhELvxwlsI9i2HjbJN5hSIiIiIiIiIi8lgoYC4i8g8bN1ts3W1NwXKAXHkdwAhxwfHkyp0rzXMiL0aa7UsISwAwpWmxtLWiaK8SFH6zGAnhCdi62XL77wCs7K2wcbYh+loUcUFxnPnq5P1K/llodHe37VQcXwV739TXFhERERERERFJiwGL7G7CM0sBcxGRfzgXdyF4bxBJsUlY2SfPJo8JiAELsPOwTfMcp2LO3FhxjYSweGz+CZCHHQ/FKpcVufI5mJW1tLbEzsMOgLu7A3Gr5IGFpQW58jhQfrR5KpZri6+QFJtEoS5FsPW0e9RdFRERERERERGRNOToZDbXr1/H39+fU6dOpVtm6dKlVK1a9Qm2Sh6lKVOm0Lp16+xuxhPj7+/Phg0bHmk9Wfmc7NmzB39/f8LDw//ztbNT9I1ooq5EkhSVSFJMElFXIom6cn92uFdtb6ydrLnw41mib0QTfjqMq/Mv4VPf15SOJXh/EIcHHDCd41bOnVz5HDg//SxRVyIJPRrCtcVX8G2cx7TQZ8ytGAJ33CEmIIbICxGcm3qamBvRFOhQEABLW0scCjia/W/lYI2VvRUOBRyxtM7RX9UiIiIiIiIi8oglGS2f+P85Rc7pyUNq0aIFf/31V3Y344lKL0B67tw5+vTpQ8OGDfH392fWrFnZ08Ac5FkI6OfJk4ft27dTvHjx7G7KY3d64gmODTlMyKFgwk+FcWzIYY4NOWw6bmVvRamBZUmKTuL40MOcn3YG90oeFOpaxFQmMTqJ2Fsxpm0LSwtK9iuNhYUFJ0Yc5fwPZ/Cu40OB9gXvX9hg5NbaGxz73yFOjTuOIcFAmaHlsfe2fxLdFhERERERERGRLHruU7LY29tjb59+0Co+Ph5b27RTMTxqSUlJWFhYYGmZPfcxYmJiyJ8/P82aNWPMmDHZ0obnVUJCAjY22bPYo5WVFd7e3o/9Ok/ys5SeypOrZVomV14HSg0qm+5xn3q++NTzNdtn52VPyf5l0q8znwPlR1ZK93hair1d4oHKi4iIiIiIiIjck6R50g8tR4ycwWBgxowZNGnShLJly/Liiy8ybdo00/Fr167RtWtXKlSoQKtWrTh06JDp2L9TstybEbxo0SIaNmxI+fLlAejatSsjRoxgxIgRVKlShRo1avD1119jNBozbFt4eDhDhw6ldu3alCtXjpdffplNmzaZXXvjxo20aNGCcuXKcfPmTcL+n737Dq/5fv84/jrZIsi0CYIYiQgRo/aoXdRslVKzqmZrtvmiNCX6pUbN2qqkxZdSrdGlRqhN1BYRJLYgzTj5/eHn1KkkkoiEeD6u61yXz/vzXp9zguu6z537feuWhg0bpipVqsjHx0c9e/bUuXPnJEmJiYmqVq2aNm3aZFqjVatWqlmzpul679698vLy0v3795WUBg0aSJJat24tT09PdenSRZJUoUIFDR8+XM2bN09XYLNLly765JNPNGHCBFWpUkU1atTQqlWrdO/ePY0cOVK+vr5q1KiRfv31V9OYhIQEjRo1yvReN27cWIsXLzabd/fu3WrXrp0qVqwoPz8/derUSRcvXkxyD2FhYWrQoIHGjRv3xM9Gkv7880/Tz0aVKlXUo0cP3bp1S9KDAO/48eNVvXp1eXt764033tChQ4fM9uXp6amdO3fq9ddfl4+Pjzp16qQzZ85IevD5zpgxQ8ePH5enp6c8PT21evVqSQ9Konz99dfq27evKlasqNmzZ0uSvv76azVs2FBeXl5q3Lix1q5dm/oP4BGxsbEaN26catasKW9vb9WrV09z5sxJsm9Sv3Hw66+/qnHjxqpQoYK6dOmS5Pu9d+9evfnmm6pQoYLq1Kmj8ePH6969e6b79evX18yZMzVs2DBVqlRJAQEB6XoWAAAAAAAAILNki4D5559/rnnz5qlfv37auHGjJk+eLFdXV9P9KVOmqEePHlq7dq2KFSumoUOHKj4+Ptn5wsLC9OOPP2rGjBlmAcs1a9bI0tJSwcHBGj16tBYtWqTg4OBk5zEajerVq5f27dunoKAgbdy4UUOHDjXLII+JidG8efM0fvx4ff/993JxcdGIESN05MgRzZo1SytXrlRiYqJ69+6tuLg4GQwGValSRSEhIZKkW7du6fTp04qJidHp06clSXv27JG3t7d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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", " chirp-crow-t1 (12 comparisons)\n", " chirp-v4-h-s-32 (2 comparisons)\n" ] }, { "data": { "image/png": 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sn/uaaWPZsmUIDAxE06ZN0aFDB5QoUQJv3rzBzp07cf78eTx9+hQLFizA0qVL1bZ78+YNJk+eDLlcDhsbG/Ts2RPVq1dH4cKFkZCQgGfPnsHPzw9nzpxR227Tpk2Qy+Vo164dAKB79+7o0aOH2jratuD7lI2NDdzc3HD+/HkcPnxY44Lax8cHSUlJKFSoEBo0aIDAwMAM96dQKDB06FBxvVq1aqFnz54oWbIkXr16hf379+P06dPiBfOhQ4fUkhRJSUn4+eefERMTAwsLC3Tv3h21a9eGjY0N5HI5wsLCEBgYiFOnTqk97/z58xEfH48BAwbg1atXGhNGAED+/Pm1em1U5xpzc3PUqlVLq23Tcv78eUycOBGCIMDc3Bz9+/dH3bp1YWJigsDAQKxbtw7v3r3D0qVLYWVlpfFep3bx4kXcunULzs7O6NWrF0qXLo13795h27ZtYivZdevWoVChQti+fTsaNGgAT09P2Nvb4+XLl1i/fj1u3ryJS5cuYe/evejevXu6zxUcHIyjR4/i22+/Rf/+/SGTyRAbG4v9+/fjyJEjePLkCRYtWoTmzZvj119/RfXq1dGrVy+UKVMG7969w/bt23HhwgXcvXsXa9aswdixYzWeIygoCEOHDoVcLodUKkXPnj3h7u6O/PnzIygoCOvXr0dYWBh27NiB/PnzY9y4cenGm9Pn69z2HQJS6j6q7wIAtG7dGh06dICNjQ2ePHmCLVu24MCBAwgJCckwFn2f31euXCl+zxo3box27dqhePHiMDMzQ2RkJIKCgjgmJBF9HoGIKBtiYmKESpUqCTKZTOjfv7/G8ubNmwsymUz466+/xLLatWsLMplMOHv2rNq6Fy9eFGQymSCTyYS1a9dq7Gv58uXi8rQ0btxYXN6xY0chOjpaY53Dhw+L62zZskXLo00RGhoq7mPChAnprjdkyBBxvUOHDqW7r6SkpHT3ER4eLnz33XeCTCYTxo4dm+Y6EyZMEGQymdC4ceNMY+/atasgk8mEDh06CJGRkWmuc+HCBaFChQqCTCYT9uzZk+k+09KrV68M36v0dO/eXdzuxYsXasuWLl0qyGQywdXVVbh9+3aa24eFhQn169cXZDKZMGbMGI3lmX2GVHH36tUr01gfP36c4fIrV66Ir+PevXs1lvfo0UOQyWSCp6enIJfL093Pu3fvMo0lI6dOnRKP2dfXV23Zb7/9JshkMqFKlSrC+/fv093H8OHDxX2cOnVKY3lcXJzQuXNncZ30Xt/Pfc0E4eP3PK3v3rVr19RiWL16tcY6SqVS6N+/vyCTyYRKlSppfA/27dsnbn/v3r10Y42Pjxfi4+M1ylXbLl++PMNjzYrUvzWq/R07dkyQyWSCk5OTxm9ct27dBJlMJsycOVMQBPXXY//+/Rr7//PPP8Xl48ePF5RKpcY6qu+dTCYTfv31V7VlV69eFZd9+nuemlwuT/P3OKP3UhsvX74U4+jWrdtn7UsQBCEpKUlwc3MTZDKZUL16deG///7TWCf1b021atXS/D1N/VkcOXKkkJycrLY8OTlZ6NKliyCTyQRnZ2ehatWqwrx58zT2ExcXJ75W7dq1SzPm1Oe/rl27CnFxcRrrjBw5UpDJZELFihWFWrVqZRpTrVq10vxt6tSpk7ifS5cuaSx///690Lp1a0EmkwkVKlQQ7t+/n2G8OXW+zo3fIUEQhIULF2ZY90lKShJ/s1T/hYaGaqyni/N7RufAhg0bip/ljHzuOYuIvl4c6JyIssXCwkLsZhcYGAiFQiEu+3QmPRVVa6lPm4BnNJ6UtubPn5/meBjt2rVD0aJF03x+Xfjw4QMCAwMxdOhQ8Y6hs7Nzul0PSpYsmeGdymLFimHAgAEAgLNnz6p1s9BWQECAeDd34cKF6d51btCggTjGyud2G9NW6jF+oqKixL9jY2OxY8cOAMDo0aPFwWo/ZW9vj+HDhwMATpw4odbVTNdKly6d4fJ69eqJXeU+bVUDpLTIAVI+HxmN75HRuEdZoeq6V6xYMdSuXVttmap7SlJSkjjb1KciIiLEz3KLFi3QtGlTjXXy58+POXPmZBrL575m2qhcuXKa075LJBL069cPQErLrU9bQqjel4IFC2bYNS9fvnzIly/fZ8WYHU2aNIGVlRUSEhJw4sQJsTw0NFTsPpTVbkeq75S1tTWmTZuW5mynI0eORNmyZQEA+/btU+vKpnqtgIwnpjAxMcl0fKLP8e7dO/FvGxubz97fqVOnxFYrw4YNS7Mrub29PcaPHw8AiI+Pz/C3Mn/+/Jg9e7ZG619jY2N06dIFQMpvnLW1dZqtivLnz48OHToASBmrLaPWkxKJBPPmzUuzpZmqNZdCoUBiYmKmMb1//x4PHjxQW37r1i1x5jpPT0+4ublpPE/BggUxe/ZsACndaHfu3JluvEDOn69z03coKSkJ+/fvB5AyBtngwYM1tpdKpZg3b16GdYWcOL+rvu+Z1c8+95xFRF8vJqWIKNtUFyOxsbEICgoSy1XjRtna2qpdjKoSVJ9WMlXjSZmZmaFq1arZjkcmk6FChQppLpNIJKhUqRKAlAro5zp48CAcHR3F/2rWrIlu3brh3LlzkEql8PDwwMaNG7PcRD4mJgahoaEICQnB/fv3cf/+ffHiIiYmBmFhYdmOVXWRX6ZMmQwH5wU+vqd37txBcnJytp9TW6kH+42NjRX/9vf3Fy/EMhqUGPgYu1wux927d/UQZdrevn2LJ0+eiO/b/fv3xQsDVbfU1FRjGZ07dw5v377VS0zv378Xx0dp27atxgWTg4ODeMGd3mxU169fF5PNGV2oVahQId3vXXq0fc200a5duzQvEIGUhJXKp78DqvclKioKp0+f/qwY9EE1SD2g/p6p/i5dunSWxlOLiIgQuxi3atUq3aSRiYkJPDw8AKS8Jqm/U6nH41JdWBtC6t8Kbbv9pcXX1xdAyvmic+fO6a7XsmVLcRZL1TZpqVevXroX6qm/M82aNUv3XJF6vYzOA46OjumOx5Z6H1mN6dPnSj2TbEavjYuLixhHRrPP5uT5WiU3fYfu3r0r3oDp2LFjur9ZxYoVQ/369dONJSfO76rv+/Hjx9XG/yIi0hWOKUVE2ebi4oLNmzcDSEk0qVqxqJJOqVtJAR/vst29excJCQnIly8fkpKScOvWLQApYwtlNktNRlR3JNOjGtcl9YWMPnz77bfo27dvpi0Enj9/js2bN+PcuXMag5N+6t27dyhVqlS24rlz5w6AlFnFMqu0qsjlckRFRemk9UFWpH5PUr9uqtgBpHlnPj2vX7/WTWDpuHHjBrZv3w5fX1+8f/8+3fVSt+RQ6dChA/z9/fH06VM0b94czZo1Q/369eHq6opixYrpJL5jx46Jgx23b98+zXXat2+PoKAgBAYG4tmzZ/jmm2/UlqcexyS9Fmqpl2eWTPqc10wbGf0OpL4Y//R3wN3dHQUKFMCHDx8wYsQIcQZEV1dXVKxYMdtj3elShw4d8Ndff8HPzw/h4eEoXry4OKB7eu/zp1K/r5nN7ph6rLCQkBA4OzsDSPltL1WqFEJDQzF//nx4e3ujWbNmcHV1RdWqVT/rd1wbqcfo0cXFsuq1KVmyZIbjGJmamqJixYrw8/PD/fv3010voxaCqWd3y2g9VfILyPjcpYvnSr3epwOZq14bqVSa6WQk1apVw8OHD/H06dM0Z+cFDHe+zi3fodSfm8xuxlWtWlW8yfCpnDi/d+jQAatXr0ZgYCCaNGmCli1bom7dunBxcdHr+JxE9PVgUoqIss3V1RUSiQSCIODGjRti1xhVyydVdz2VSpUqIX/+/IiPj8fNmzdRp04d3L59G4mJieL+Pkdmd8pVMwEplcrPeh4AagP0KpVKvHr1CpcuXcKePXvw4MED9OnTB7t370634n3hwgWMHj06yxdSCQkJ2Y41u61xcvKOaOpEROrEQWRkZLb29zmvV2ZWrFiR5syJWY2jc+fO4kxX0dHROHDggNid4ptvvkGTJk3Qs2fPbCchgY9d91Qt+dLStm1bLF68GAqFAocOHcKoUaPUlqfuRlm4cOEMny+zC5PPfc20kVHXutSzgX36O1C4cGGsWbMGY8aMQUREBK5fv47r168DSEmU1q1bF506ddLrTHKZcXV1hb29PZ4/fw5vb2/UrFkTT58+hUQiyfIFder3NbOL0tSzdKVOJEqlUqxduxajRo3Cw4cPcfv2bbFrV758+eDq6ooOHTqgdevWek3mpf5cpu5SmF2qY8zKxXrqlnXpyeiclLplTEbrpf7Mpu4mr81zpd5HVmP69Puhem0KFSqUYbdj4OPnRhAEfPjwIc3Z3nLyfJ1abvkOpd5HZr+fGc2WlxPn9+HDhyMiIgIHDhxAZGQkduzYIXZfdHBwQPPmzdGjR48cnbWXiPIWJqWIKNsKFSoEBwcH3L9/X2wdlXomvU9bSkmlUlStWhV+fn4ICAhAnTp1xAQWkPHYJLlNgQIF1MadqVChAho0aAB3d3cMHDgQUVFRGDt2LPbt26dxUfb27VuMHTsW8fHxMDc3x4ABA+Dm5oZvvvkGlpaW4l1lX19fMdH3OWNKqS5kKlSogN9++y3L29nZ2WX7ObWhVCpx7949ACkX/6krtqkvwg4ePJjpxZCKrlocfcrX11dMrpQqVQr9+/eHi4sLSpQogfz584vxLVu2DKtXr053Pz///DO6dOkCb29v+Pr64t9//0V8fDyePXuGLVu24M8//8SUKVMynG0rPY8ePRJbH967dy9Ld8+PHDmCkSNHptuF5HPo6jXLCa6urjh16hROnDiBCxcuICAgAC9fvkRMTAxOnTqFU6dOwc3NDStXrtRJdzFtSSQStGvXDmvXrsXhw4fx4sULACk3ALKTxPyc97t8+fLw9vbGuXPncPbsWQQEBODp06dISEjA5cuXcfnyZWzZsgUbNmzQW4tLOzs7FC5cGO/evcO9e/egUCh0kgTTx/eAcofc9B3SxT5y4vwulUoxf/589O/fH0ePHsW1a9dw584dyOVyhISEICQkBFu2bMFvv/2W5tiDRESZYVKKiD6Lq6sr7t+/j7dv3+Lhw4cICwuDUqmEubm5OCZEai4uLmJSCvg4/pRUKs3SWA65Xd26ddGnTx9s3rwZd+/exYEDB+Dp6am2zokTJ/DhwwcAwKpVq1CvXr0095XRHXhtqFoexcXFZTiAs6EEBgaKA5NXr15d7aIydUsIa2trvSWbsmrv3r0AUrqW7N27N9073Fl57+zt7TF06FBxivXbt2/Dx8cHe/bsQWJiImbNmoVq1aql+T3KSHpjRGUkNDQUN27cUGutqOo+A6S0ZMvoIiaju/W6fM1ygpmZGdq3by+2mggNDcWFCxewfft2PHnyBJcvX8bvv/+OyZMnGyS+Dh06YO3atXjw4IE43o5qMOysSP2+Zta6KPXytMYhMjY2RtOmTcULUVWL0R07duDu3bu4e/cupk+fjlWrVmU5Pm3VrFkTJ0+eRFxcHPz8/FC3bt1s70t1jFlpdaXqIpz69czLVK/N+/fvkZycnOENAtXrJ5FI1LoE5ha54TuU+nWJjIxEmTJlsrSPT+Xk+b18+fJiC/HExETcuHED3t7eOHz4MOLi4vDLL7/g1KlT4iD1RERZxYHOieizpL6IvXHjhtjy6dPkgoqq9dS///6LpKQkcdaYSpUqqQ12/SUbMmSIOC7SqlWr1GbcASDOalSoUKF0E1KA+nhKacnq3dXUA8bqe6yl7PDy8hL/btasmdqy1GOXqGZHMiTVe1e7du0Mu1xk9t59SiqVokaNGpgyZQqWLFkCIKV1XOoZorJCEARxfBRHR0csXbo0w/+WLFkCMzMzAB+7/KmUL18+y8eT0XJ9vWY5pVSpUujVqxf2798vJkV9fHwMFk+ZMmXEcWwSExNhamqKli1bZnl7BwcH8W9Vi7r0pF6eerv0FC1aFJ06dcKePXvEQeXPnz+v1+60qoGkAfXfkuxQHWNYWFiGiVa5XC5O7pEbE/36oHptUh97elSfm2+//TbHxhfTRm74DqX+3Ki6vqYno99GQ53fzczMUK9ePSxYsECcjTIhISHdsa+IiDLCpBQRfZbUSSl/f3+x5dOnXfdUnJ2dYWxsjLi4OBw4cECcWe1zx5PKTQoVKoSePXsCAMLDwzUu9lWz3iQmJqY7XkZ8fHymLV5Ulf1Pk16fcnd3B5CSsNi2bVum8eekY8eOiYmXIkWKqF1gAikzRam6SW3btu2zujFmRJWYyey1VL13qpZdafnvv//w77//ZjuW1C09tB30+/r162J3lA4dOqBNmzYZ/te2bVtxAPm///5bHN8NSEkiqcZ1yeizGBwcnOEg5znxmuUES0tLcUDitN6XrH6GdKFDhw4wNTWFqakpmjVrplVrFDs7O3F2NB8fn3QHklYoFDh48CCAlJYhqWcuzIxUKhW7YycnJ4stQ1V0+Vo1atRInMXt3LlzWrUUVLWwUlF99wRByHBWwRMnTojnrs9pmfUlSX0DJaPXJjAwUExEZ3TTxdAM/R2qUqWK2OLq8OHD6Z7bIiIicPny5XRjyQ3n9zp16oh/f+5EFUT0dWJSiog+i52dnThr1/Xr18U7euklpSwtLcU7hBs3bhTLv6TxpLKiX79+YjJl/fr1amMjqWY/io+PT7PFhUKhwNSpU/Hq1asMn0M10G5kZKTGTEmpubm5iXeFN23ahOPHj2e433v37uHs2bMZrvO5kpKSsHHjRvEOq7GxMebNm6dxV71AgQJigi8wMBDz58/PcODbN2/eYN++fVrHo3otQ0NDM0x8ffvttwBSWm09ffpUY/nbt2/FY0rP4cOHM5yOO/UFSMmSJTPcV1r7VmnevHmWtlFNkR4dHS1OLw6kjMvVsGFDACkX4adPn9bYNiEhAdOmTctw/7p4zXLCpUuXMvzORUdHi60e0npfVJ+hZ8+e6SfAVHr27CkOLr506dJsbQ+kvPZz585Nc52VK1eKyQVPT0+176Zq/Kj0JCUliTcozM3NNVrI6fK1kkgkWLx4sfh7O3nyZOzYsSPD3wnVcY8aNUrtu9i0aVOx69HatWvFse5SCw8Px6JFiwCkDNb9aSI9r3JychJn4dy3bx98fX011omOjsb06dMBpAxUnp0x8XKKob9Dpqam4mcnKChIrT6kkpycjKlTp4ozqaZF3+f39+/f4+zZsxmeF69cuSL+re05i4gI4JhSRKQDrq6uePbsGSIiIgAAJiYmGY4P5eLigqCgIHEsByMjo3STWF8qa2treHp6Ytu2bQgNDYW3t7c4ZkWrVq2wdOlSJCUlYdKkSQgKCkL9+vVhaWmJBw8eYPv27bh79y5q1KiRYZc11eyGSqUSM2bMQO/evdXGYFIlAwBgyZIl8PT0xPv37/Hzzz/jyJEjaN26NUqXLg0jIyNERkYiKCgI586dw82bN9G/f3/xDmx2pZ7yWqlU4sOHD4iIiMDNmzdx4sQJsauBqakppk+fLiZAPjV69Gj4+/vj33//xbZt2+Dn54cuXbqgQoUKMDc3R1RUFB48eICrV6/i4sWLkMlkGuN4ZaZGjRrizEILFixA+/btxanYTUxMYG9vDyDl7vq5c+cQFxeHXr16YfDgweLd78DAQGzZsgVv3ryBs7Oz2DX1U+PHj8evv/6KZs2awdnZGd988w3MzMzw5s0bXL16Fbt27QKQcjHfrl27LB9DfHy82OqscuXKWb44cHd3h1QqhVwux6FDh9C6dWtx2aRJk3Dt2jXEx8dj9OjR6N69O5o2bQpLS0uEhIRg48aNePDgAapWrZpuFxRdvGY54dixYxg2bBjq1auH+vXrQyaToWDBgoiNjcX9+/exY8cO8TeuW7duGts7OzsjLCwMZ8+exe7du1GjRg2xRZClpaXeBvvOjm7dusHb2xuBgYE4cOAAXrx4gR49eqBkyZJ4/fo19u/fj5MnTwJImRFy+PDhatv7+vpi9erVcHV1RcOGDeHo6Ahra2skJCTgyZMn2L17N+7evQsgZbbJT8cfcnZ2xvXr13H79m2sX78eDRo0EJNK+fLl03qSBQcHByxbtgw//fQT4uLiMHv2bOzevRutWrVC1apVYW1tjfj4eLx48QJXrlzB6dOn00zkm5qaYs6cORg6dChiYmLQvXt3DBgwAHXr1oWxsTECAwOxfv16cVbQ8ePHZzpzWl4yd+5ceHp6Qi6XY9CgQejduzcaN26M/PnzIygoCOvXrxfP6/3798/TXRs/9zsEAD/++CN8fHzw8uVLLF68GMHBwfj+++9hY2ODJ0+eYMuWLbh9+zaqVKmSYRc+fZ7fY2JiMGzYMNjb26N58+ZwcnKCvb09jI2N8fr1a5w7d068EWRnZ4dGjRpp/2IS0VePSSki+myurq7ilPZAyjhAGc1M5eLigj///FN8LJPJcuVgqJ9rwIAB2LVrF+RyOdavX4/27dvDyMgIxYoVw8yZMzF16lQkJiZiw4YN2LBhg9q2rVu3RpcuXcTZ99JSp04dVK9eHTdv3sTRo0dx9OhRteWp7/J/88032L17N0aNGoX79+/j3LlzOHfuXLr7trCwyN5Bp5JZQkUikaBu3bqYOHFihjPEmZqaYvPmzZg0aRJOnjyJ4OBgzJ49O931VeN5aaN169ZYt24dQkND4eXlpTY2jb29vXhnuWXLlvDw8MCBAwfw6tUrjTvkxsbGmDRpEj58+JBhguXNmzfYtWuXmID6lJWVFZYuXYrixYtn+RhOnToldiPRZnwUKysr1KtXDxcuXMCVK1fw5s0bcQbEb7/9FqtWrcKIESMQFxeH7du3Y/v27WrbjxgxAkqlErdv3xaTMKnp6jXLCXK5HBcuXMCFCxfSXadbt27o06ePRvmAAQNw4sQJJCUlYcaMGWrLOnbsiIULF+o83uwyNjbG2rVrMWzYMPzzzz+4du0arl27prFeuXLlsGHDhjR/D5RKJfz8/ODn55fu8zRp0gS//PKLRnmPHj2we/duvH//HkuWLBHHUQOAWrVqaXzGsqJhw4bYtWsXZs2ahX/++Qf3799XS4x/qlChQhgxYoTG70WjRo2wYMECTJ8+HbGxsVi+fDmWL1+uto6xsTFGjx6NHj16aB3nl6xixYpYu3YtRo8ejZiYGGzevBmbN2/WWK9nz55pvu95iS6+Q1ZWVti4cSN++OEHvH79Os3zuIeHB2rWrIlJkyalG0tOnN+fP3+OLVu2pLu8SJEiWL16tU7qDkT09WFSiog+26dd7zJr9fTp8rzWdU+lWLFi6NixI/bu3YuHDx/ixIkTaNWqFQCgU6dOKFOmDDZt2oR//vkH0dHRKFSoECpUqAAPDw+0bt0a169fz3D/RkZG2LRpEzZu3Ihz587h2bNniI+PT7eZfZkyZXDo0CH4+Pjg5MmTuH37Nt6+fQuFQoFChQqhTJkycHFxQbNmzbQaPyYrzMzMYGVlhYIFC0Imk6Fq1apo0qSJ2JUxM5aWllixYgUCAgJw6NAhBAQE4NWrV0hMTISlpSVKlSoFJycnNGzYUBwjSRsWFhbYvXs31q1bhytXruDFixeIj49Pc90FCxagTp062Lt3L4KCgiCXy1GkSBG4urqiV69ecHJywooVK9J9rqNHj+L8+fO4ceMGQkND8ebNG0RHR8PCwgJly5aFm5sbunfvLiaGsio7XfdSr3/hwgUkJyfj6NGjasnQ+vXrw9vbG+vXr8fly5fx6tUrFCxYEFWqVEGvXr3w3XffYd68eQAgti771Oe+Zjlh0qRJqFevHq5du4Z79+7h9evXePv2LYyNjVGsWDE4Ozujc+fO6Y5/V7FiRezZs0f8Tr958yZHxpfKrkKFCmHHjh04cuQIjh49iqCgIERFRcHCwgIymQwtW7bU6HKk0r9/fzg6OuLq1asICgrCq1evxNZDtra2cHJyQocOHdJtNWFnZ4d9+/Zh3bp18Pf3x8uXL9XGM8uuChUqYNeuXfD19cWZM2fE34moqCjky5cPRYoUQZUqVdCoUSM0a9YszSQqkJJErFmzJry8vHDlyhWEh4dDqVSiaNGiqFOnDnr16pVhIj0vc3Nzw6lTp+Dl5YULFy4gNDQUSUlJsLW1hYuLC7p165anxojMyOd8h1QcHBxw9OhRbNiwAadPn8aLFy/E7bt06YK2bduq3fRLj77O7/b29ti3bx8uXryIwMBAPH/+HJGRkYiLi4OVlRXKly+Pxo0bo2vXrtm6IUREBAASQV+jxhIREdFXoV+/fvD19YWLiwt27txp6HCIiIiI6AvBgc6JiIgo2yIiIhAQEAAAqFatmoGjISIiIqIvCZNSRERElK6MZllLSEjApEmTxNmhVIP5ExERERFlBceUIiIionRNnToVcXFxaNWqFSpXroxChQohNjYWd+7cwc6dO8WkVefOnb/acXaIiIiIKHuYlCIiIqIM3blzJ8MpyZs1a4Zp06blYERERERElBdwoHMiIiJK1927d3Hq1Clcu3YNERERePv2LQRBgI2NDapVq4aOHTuiYcOGhg6TiIiIiL5ATEoREREREREREVGO40DnRERERERERESU45iUIiIiIiIiIiKiHMekFBERERERERER5TgmpYiIiIiIiIiIKMeZGDoAIiIiorzsw4cPOHXqFAICAvDixQskJCSgcOHCqFSpEtzc3FCjRg1Dh0hERERkEJx9j4iIiEgPIiIisHz5cnh7e6No0aJwcnJC0aJFYWZmhqioKISEhODu3bsoUaIERowYgdatWxs6ZCIiIqIcxZZSRERERHrQsWNHdOjQAQcOHED58uXTXCchIQGnT5+Gl5cXwsPDMWDAgByOkoiIiMhw2FKKiIiISA/evXuHwoUL6219IiIioi8dk1JERERERERERJTj2H2PiIiIKIfExMRg1apV8PPzg1KpRI0aNfDjjz/C2tra0KERERER5TitW0olJSXh33//xfPnz5GQkABra2tUrFgRpUqV0leMRERERHnCzz//jHz58qFly5aQy+XYu3cvFAoFNm3aZOjQiIiIiHJclltK3bhxA9u2bcO5c+eQnJwMKysrcfaYpKQklCpVCl26dEG3bt1gaWmpz5iJiIiIvghbt25F3759IZFIAAC3b9/GiRMnYGxsDAAoU6YMunbtasgQiYiIiAwmS0mpoUOH4r///kPbtm2xefNmVKlSBfny5ROXh4aGIiAgAEePHsXWrVuxaNEi1K9fX29BExEREX0Jnj17Bk9PT8yePRuVKlVCvXr1MHjwYDRt2hTJyck4fPgw3NzcDB0mERERkUFkqfve7t270alTJ0il0kx3+ODBA7x+/Rp169bVSYBEREREX7KbN29i5syZqF27NoYPH44jR47Az88PCoUCNWrUQK9evdRu9hERERF9LTj7HhEREZGeJScnY8OGDTh8+DDGjx8Pd3d3Q4dEREREZHCflZS6f/8+/P39xTt9VapU0WVsRERERHnKkydPMGPGDBQsWBDTpk1DkSJFDB0SERERkcEYZXfDHTt2oF+/fvDz88P169fRt29frFmzRpexEREREX3RgoOD0alTJzg7O6Nbt25QKpXw8vJCw4YN0a1bN+zcudPQIRIREREZTJZbSoWHh6N48eLi41atWmHHjh2wtrYGAAQGBmLYsGG4du2afiIlIiIi+sJ4eHigZs2a6NKlCy5duoQzZ85g+/btAIC3b99i/vz5CA0NxZ49ewwcKREREVHOy3JLqX79+sHLywuqHFahQoVw6dIlJCUlISYmBlevXhUTVEREREQEPH78GD169EC5cuXQu3dvPH/+XFxmbW2NxYsXY+TIkQaMkIiIiMhwspyU2r9/Px4/fgxPT08EBQVhzpw58PLygpOTE2rWrAkfHx8sXLhQn7ESUS5z4MABODo6IiwszNChZFnv3r3Rtm3bTNcLCwuDo6MjDhw4kANREVFeVbt2bUybNg179uzB2LFj4ezsrLGOm5ubASIjIn1iHenLM3HixDR/o4lIv7KclLK0tMTMmTMxefJkTJw4Efv27cOOHTsQEBCA69ev4+jRo3ByctJnrESUgR07dsDR0RGenp6GDkVnLly4gBUrVhg6DEpHfHw8VqxYgevXr2sse/XqFRYvXozevXvD2dkZjo6Oaa5HlNctWrQIlStXxpkzZ1CqVCnMmjXL0CERfXVYR/r6fPjwAXXr1oWjoyP+/vtvQ4eTKX9/fwwdOhQNGzZE1apVUb9+fQwYMAA3btxQWy8+Ph47duxA//794ebmBmdnZ3To0AE7d+6EQqEwUPREn0frgc5r1KiB/fv3o0CBAujQoQMCAgJQoEABfcRGRFrw9vaGvb09bt26hadPn+bIc37//fe4desW7O3t9bL/CxcuYOXKlXrZd2ZUr+X3339vkOf/EsTHx2PlypXw8/PTWPb48WNs2LABr169gqOjowGiI8odChYsiAkTJmD9+vUYM2YMLC0tDR0S0VeHdSTd+hLqSMuXL0dCQoKhw8iyJ0+ewMjICN26dcP06dPRv39/vHnzBr169cLFixfF9UJDQzFnzhwIgoB+/fphwoQJKFmyJGbNmoXJkycb8AiIsi/LSank5GTs2LEDc+bMwcGDBzF06FCsXbsWmzdvxqhRo/DmzRt9xklEGQgNDUVgYCAmTZoEa2treHt758jzGhsbw8zMDBKJJEeeLydJJBKYmZnB2Ng4w/Xi4uJyKKK0JSYmQqlUGjSGtFSuXBnXr1/HiRMn0K9fP0OHQ2QQL1680Gr9iIgIPUVC9PViHUn3cnsd6f79+9i1axcGDhxokOfPDk9PT6xevRrDhg2Dp6cnBgwYgN27d8Pa2hpeXl7iera2tvD29saWLVswcOBAdOvWDStXroSHhwcOHTqUY0lXIl3KclJqypQp2LFjB/Lnz4/9+/djwYIFKFOmDLZt24bvvvsOXbt25bTGRAbi7e2NggULomHDhmjRokW6Fa53795h3LhxqFGjBlxdXTFhwgQEBwdrjAsQHByMiRMnokmTJmIT4kmTJuHdu3dq+0trvAR3d3cMGTIEAQEB6Ny5M6pWrYomTZrg0KFDatvK5XKsXLkSzZs3R9WqVVG7dm10794dV65cAZDSr3/Hjh0AAEdHR/G/zFy4cAG9evWCs7MzatSogU6dOqX5ejx48AC9e/dGtWrV8N1332HDhg1qy9MaL0E11sCzZ88waNAgODs7Y+zYsQA+jsNw584ddOvWDU5OTnB3d8euXbsyjVnlw4cPmD9/Ptzd3VGlShU0aNAA48ePx9u3bwEA169fh6OjI44dO4bff/8d3333HapVq4aYmBgAgI+PDzw8PODk5ITatWtj7Nixahe5Z86cgaOjI4KDg8WyEydOwNHRESNGjFCLpVWrVvjpp5/SjTUsLAx169YFAKxcuVJ8f1RdCSwtLVGoUKEsHztRXtS5c2dMnz4dt27dSned6Oho7N27F23btsWJEydyMDqirwPrSB99iXWkIUOGoEmTJmku69q1Kzw8PDTK582bh6ZNm8LV1TXT/aclIiICw4cPh7OzM+rUqYNFixZluWvc9u3b0aZNG1SrVg01a9aEh4dHthOh+fPnh7W1NaKjo8Uya2trODg4aKzbrFkzAMDDhw+z9VxEhmSS1RXPnDmDPXv2oFy5coiPj0e7du0wdepUACmZXXd3d8yfPx89evTQW7BElDZvb280a9YMpqamaNu2LXbt2oVbt26pjfOmVCoxbNgw3Lp1C927d0fZsmVx5swZTJgwQWN/V69eRWhoKDw8PFCkSBGEhIRg7969ePDgAfbu3ZvpXb+nT59i9OjR6Ny5Mzp27Ij9+/dj4sSJqFy5sngiXblyJdatWwdPT084OTkhJiYGd+7cwd27d1G/fn107doVr169wpUrV/Drr79m6XU4cOAAJk+eDAcHBwwZMgRWVlYICgrCpUuX0K5dO3G9qKgoDBw4EM2aNUOrVq1w4sQJLF68GDKZDA0bNszwOZKTkzFgwAC4uLhgwoQJyJcvn9p+Bw8ejFatWqFNmzbw8fHBzJkzIZVK0blz5wz3Gxsbi549e+Lhw4fo1KkTKlWqhHfv3uHs2bOIiIhQm9109erVkEqlGDBgAJKSkiCVSnHgwAFMmjQJVatWxZgxYxAZGYlt27bhn3/+waFDh1CgQAG4uLhAIpEgICAAFSpUAAAEBATAyMhIbcyCt2/f4tGjR+jVq1e68VpbW2PmzJmYOXMmmjVrJlaG2FWP6KNjx45h7dq16N+/P8zMzFC5cmUULVoUZmZmiIqKwsOHDxESEoLKlStj3Lhxmf7+EJH2WEdK8aXWkVq1aoUJEyZovGfPnz/HzZs3MX78eLX1fXx8EBgYiOPHj6vNdppVCoUCAwYMgJOTE8aPHw9fX19s3rwZpUqVyvQ6d+/evZg7dy5atGiBPn36IDExEffu3cO///6r9hpnJCYmBklJSXj37h0OHz6M+/fvY+jQoZlup+q1VLhw4Sw9D1GuImRR8+bNha1btwqJiYnC2bNnhU6dOmV1UyLSo9u3bwsymUy4cuWKIAiCoFQqhQYNGghz585VW+/EiROCTCYTtm7dKpYpFAqhT58+gkwmE/bv3y+Wx8fHazzP0aNHBZlMJvj7+4tl+/fvF2QymRAaGiqWNW7cWGO9yMhIoUqVKsLChQvFsvbt2wuDBw/O8NhmzZolyGSyzF4CQRAE4cOHD4Kzs7Pg6ekpJCQkqC1TKpXi37169RJkMplw8OBBsSwxMVGoX7++MHLkSLEsNDRU43WZMGGCIJPJhMWLF2s8v2q/mzdvVtvv999/L9StW1dISkrKMP5ly5YJMplMOHnypMYyVfzXrl0TZDKZ0KRJE7X3KCkpSahbt67Qtm1btWM/d+6cIJPJhGXLlollbdq0EUaPHi0+7tixozBq1ChBJpMJDx48EARBEE6ePCnIZDIhKCgow5gjIyMFmUwmLF++PMP1fHx8BJlMJly7di3D9Yjyqvj4eMHHx0eYO3euMHz4cKF///7CL7/8ImzatEm4d++eocMjyrNYR0rxJdeRoqOjNV4fQRCEDRs2CI6OjsLz58/Fsvj4eKFRo0bCkiVLBEH4WG/y8fFJd/+pqY5h5cqVauUdOnQQOnbsmOn2w4YNE9q0aZOl50pP//79BZlMJshkMqFy5crCtGnTNN6zTyUmJgqtW7cW3N3dBblc/lnPT2QIWe6+N336dKxduxbVqlXDjBkzOJAaUS7h7e0NW1tb1K5dG0BKP//WrVvj+PHjak2NL126BKlUii5duohlRkZG6Nmzp8Y+U9/ZSkxMxNu3b1GtWjUAwN27dzONqXz58mpNpq2trVGmTBmEhoaKZQUKFEBISAiePHmS9YPNwJUrVxAbG4vBgwfDzMxMbdmndy3Nzc3VBuc0NTVF1apV1eLLSPfu3dMsNzExQdeuXdX227VrV0RGRmb6up08eRIVKlQQWxxlFH+HDh3U3qM7d+4gMjIS3bt3Vzv2Ro0aoWzZsjh//rxY5uLigoCAAAApd+OCg4PRtWtXFC5cWGwtpZrAQiaTZRgzEWVNvnz50LJlS0yZMgWrVq3Cpk2bsHjxYvTv35/fMyI9Yh0pxZdcR7K0tESDBg3g4+MDQRDE8uPHj6N69eooUaKEWLZ+/XrI5XIMGTIkS7Fm9RhcXFzUumGmp0CBAnj58mWGXbYzM3bsWGzevBnz5s1D9erVIZfLkZycnOE2c+bMwYMHDzB9+nSYmGS5IxRRrpHlpFT9+vVx9epVXLlyBRcvXkSNGjX0GRcRZYFCocCxY8dQu3ZthIWF4enTp3j69CmcnJzw5s0b+Pr6iuu+ePECRYoUQf78+dX28c0332js9/3795g7dy7q1asHJycn1K1bV+zPn7pfe3qKFy+uUVawYEFERUWJj0eNGoXo6Gi0aNEC7dq1w6JFi9TGOtLWs2fPACDNfvafKlasmEYl7NP40mNiYoJixYqluaxo0aIwNzdXKytdujQAiE3IX79+rfafamaYZ8+eZSl2AChZsqTaY9VgymXKlNFYt2zZsmqDLbu6uuL169d4+vQpAgMDIZFIUL16dbi6uorJqoCAANSoUQNGRimniPfv36vFnJXPABERkSGxjvTRl15Hat26NcLDwxEYGCgez927d9GqVStxX2FhYdi0aRN+/vlnWFhYpBtjUlKSxvOkTlCamZmpDZmQ1vG/fftWbfvY2FgAwKBBg2Bubg5PT080b94cs2bNUhseIbPnBoCKFSuifv366Ny5MzZv3ozbt29j0qRJ6R7Pxo0bsXfvXowePZpdwOmLpVUqVSKRaHxJichwrl27htevX+PYsWM4duyYxnJvb2+4ublpvd+ffvoJgYGBGDBgACpWrAhzc3MolUoMHDhQ7S5VejKbjQUAatasiVOnTuHMmTO4cuUK/vrrL3h5eWHWrFnw9PTUOmZtZCW+9JiamorJmuz49P1YsGBBmoN0ZiT1XVptubi4AAD8/f0RGhqKSpUqwdzcHK6urti2bRtiY2MRFBSkNsj5yJEj4efnJz7u2LEjFi5cmO0YiIiI9I11pOzJjXWkxo0bI3/+/PDx8UGNGjXg4+MDIyMjtGzZUlx3+fLlsLOzQ61atcRWTapxlt6+fYuwsDCUKFECgYGB6NOnj9rznDlzRrzhl5Xj79y5s9p4VSNGjMDIkSNRrlw5/P333zh//jwuXbqEkydPYufOnfjxxx8xatSoTJ/7U6ampnB3d8f69euRkJCgUf87cOAAFi9ejG7dumH48OGZxk2UW2UpKTVgwACMHDkS1atXz3C9mJgY7Ny5ExYWFmk2dyUi3fL29oaNjQ2mT5+usezUqVM4deoUZs2ahXz58qFEiRK4fv064uPj1e4Equ6eqURFRcHX1xcjR45Um5FNV03IUytUqBA6deqETp06ITY2Fr169cKKFSvECpc20yir7maGhITg22+/1XmsWfHq1SvExcWp3QlUvW729vYAgC1btqhtU758eQAp8YeEhGTreVVN1x8/fizOiKfy+PFjtabtJUqUQIkSJXDjxg2EhoaKXQhcXV2xYMEC/P3331AoFKhZs6a4zYQJE/DhwwfxcdGiRQFo9/4QERHlJNaRPvrS60jm5uZo1KgR/v77b0yaNAnHjx+Hq6sr7OzsxHXDw8Px9OlTNG3aVOO5Z82aBSDlhlyFChU0nqdIkSJaHctvv/2GxMRE8XGpUqXEv83NzdG6dWu0bt0aSUlJGDlyJNauXYshQ4Zk67kTEhIgCAJiY2PVklKnT5/G1KlT0bx5c8yYMUOr+IlymywlpVq2bImRI0fCysoKjRs3RpUqVcTZYz58+IAHDx7gxo0buHjxIho2bKgxCwIR6V5CQgJOnjyJli1bqt0pUilatCiOHj2Ks2fPonXr1nBzc8PevXuxd+9e9O3bF0DKbDOqKYVV0rtD5OXlpdP43717pzZDiIWFBb755huEh4eLZaqK4YcPH1CgQIEM9+fm5gYLCwusW7cO3333ndqYCYIg5EgCJTk5GXv27MEPP/wAIKWZ9p49e2BtbY3KlSsDAOrVq5fmts2bN8eqVatw6tQpjXGlMou/SpUqsLGxwe7du9G5c2eYmpoCSJn6+eHDh/jxxx/V1ndxccG1a9cQGRmJfv36AUhpLm5hYYH169cjX758Yryq/acl9ftDRESUW7COpO5LryMBKV34fHx8sG/fPgQHB2skYkaPHo3379+rld2/fx/Lli3DwIED4ezsjPz580MqlWb4PFmhanX+qU/fN1NTU5QrVw4XL16EXC5HwYIF033uyMhI2NjYqJV9+PABJ0+eRPHixdWW+fv7Y8yYMXB1dcXixYs/q3UaUW6QpaSUp6cnvv/+e/j4+MDHxwd79+4V+0xLJBKUL18ebm5u+Ouvv1CuXDm9BkxEKc6ePYvY2Fi4u7unubx69eqwtrbGkSNH0Lp1azRt2hROTk5YtGgRnj17hrJly+Ls2bNiH3lVhcTS0hI1a9bExo0bIZfLYWdnhytXrmRpgEdttGnTBrVq1ULlypVRqFAh3L59GydOnECvXr3EdVSVlLlz58LNzQ3GxsZo06ZNmvuztLTEpEmTMHXqVHTu3Blt27ZFgQIFEBwcjISEBCxatEin8aelaNGi2LBhA54/f47SpUvj+PHjCAoKwpw5cyCVSjPcdsCAAThx4gRGjx6NTp06oXLlyoiKisLZs2cxa9YsVKhQId1tpVIpxo4di0mTJqFXr15o06YNIiMjsW3bNtjb24uJJxVXV1d4e3tDIpGIFStjY2M4Ozvj8uXLqFWrlpjYyki+fPlQvnx5+Pj4oHTp0ihUqBAcHBzEgZtXr14NAHjw4AEA4PDhw+LYCmxmTkRE+sI6krovvY4EAA0bNoSFhQUWLVoEY2NjtGjRQm156sHjVaysrAAAVatWTbMFla4NGDAAtra2qFGjBmxsbPDo0SP8+eefaNiwISwtLTPcdtCgQbCzs0O1atVgY2ODFy9e4MCBA3j16hV+//13cb3nz59j2LBhkEgkaNGiBXx8fNT24+jomGGdkSg3yvKYUqampvj+++/F2Riio6ORkJCAQoUKZemHhIh068iRIzAzM0P9+vXTXG5kZIRGjRrB29tbvHOzbt06zJs3DwcPHoSRkRGaNWuGH3/8UWPWtiVLlmDOnDnYuXMnBEFA/fr1sWHDBnz33Xc6i7937944e/Ysrly5gqSkJJQoUQI//fQTBgwYIK7TvHlz9O7dG8eOHcORI0cgCEK6FS4gJYFuY2OD9evXY/Xq1TAxMUHZsmU1kjL6UrBgQSxcuBBz587F3r17YWtri+nTp6vN5pMeCwsL7NixAytWrMCpU6dw8OBB2NjYoG7dumrN09Pj4eGBfPnyYcOGDVi8eDHMzc3RtGlTjBs3TuMOqqriVrZsWbU7eq6urrh8+XKaFbv0zJ07F3PmzMGCBQsgl8sxYsQIMSm1bNkytXX3798v/s2kFH1tXr58CSsrK40BeOVyOW7evKnWZZaIPg/rSJq+5DoSkDIAubu7O7y9vVGvXj2NVkW5QdeuXeHt7Y0tW7YgLi4OxYoVQ+/evbNU5+nUqROOHTuGrVu3Ijo6GgUKFEC1atWwZMkStXpZWFiY2Dhk9uzZGvsZMWIEk1L0xZEIWRmRj4jyrNOnT+PHH3/Ezp07022OTJnr3bs33r17h6NHjxo6FCLKRV69eoXhw4fj7t27kEgkaNu2LWbMmCEmp968eYPvvvsOQUFBBo6UiD7FOpJusI5ERBlhB1Sir4hqal0VhUKB7du3w9LSUm0MISIi0o0lS5bAyMgIe/fuxcaNG/HgwQP06dNHbXpx3h8kMjzWkYiIDCPL3feI6Ms3Z84cJCQkwNnZGUlJSTh58iQCAwMxZswYjWlmiYjo8129ehWrVq1C1apVAQC7d+/GqFGj0LdvX2zduhUAZ7Ikyg1YRyIiMgy2lCL6itSpUwePHz/G77//jqVLlyI6OhrTpk3DkCFDDB0aEVGeFBMTozaum6mpKVauXAl7e3v06dMHkZGRBoyOiFRYRyIiMgyOKUVERESkJ+3atcOIESM0ZopKTk7G6NGj8d9//+Hly5ccU4qIiIi+SmwpRURERKQnDRo0wN69ezXKTUxMsGzZMs6SRERERF81nbWUCg4ORseOHXmnj4iIiOj/kpOTkZCQAEtLy3SXR0REwN7ePocjIyIiIjI8nbaUYk9AIiIioo9MTEzSTUipljMhRURERF+rLM++N2LEiAyXR0dHc/YYIiIiok9cuXIFN27cQM2aNVG3bl34+/tj3bp1SEpKwvfff49OnToZOkQiIiIig8hyS6lz584hMTERVlZWaf5nbm6uzziJiIiIvjiHDx/G4MGDcf78eQwfPhwHDhzA8OHDUaxYMZQsWRIzZszA33//begwiYiIiAwiyy2lypYti+bNm8PT0zPN5UFBQTh//ryu4iIiIiL64m3ZsgUTJkxAnz594Ovri6FDh+Lnn39Gv379AADly5eHl5cXWrZsadhAiYiIiAwgyy2lqlSpgv/++y/d5aampihevLhOgiIiIiLKC54+fYrGjRsDAOrWrQuFQoE6deqIyxs2bIhHjx4ZKjwiIiIig8pyS6lZs2ZBoVCku7xcuXI4e/asToIiIiIiygtMTEwgl8vFx1KpFBYWFuJjU1NTJCYmGiI0IiIiIoPLckspU1NT5M+fX5+xEBEREeUp33zzjVpLqEuXLqFkyZLi49DQUNjZ2RkiNCIiIiKDy3JSSqVixYqIjIzUKH/37h0qVqyok6CIiIiI8oKhQ4eiYMGC4mNLS0u12Yrv3LmDVq1aGSI0IiIiIoPLcvc9FUEQ0ixPSkqCVCr97ICIiIiI8opmzZpluHzw4ME5FAkRERFR7pPlpNS2bdsAABKJBPv27YO5ubm4TKlUwt/fH2XLltV9hERERER5yPr169GtWzcUKFDA0KEQERERGZRESK/p0yfc3d0BAC9evECxYsVgZPSx559UKkXJkiUxatQoVKtWTT+REhEREeUBNWrUwOHDh1GqVClDh0JERERkUFluKaWaWa93795YuXKl2vgIRERERJQ1WbwfSERERJTnaT3Q+fbt28WE1I0bN5CUlKTzoIiIiIiIiIiIKG/Lcve9tLD5OREREZF2wsPDYWdnpzYUAhEREdHXSOvZ91Jj83MiIiKizIWHh0MikaBYsWIoXrw4bt26BW9vb5QvXx5du3Y1dHhEREREBvFZSam8KjIyGsy3ERERkUQC2NhYffZ+fvnlF3Tp0gUdOnTA69ev8cMPP8DBwQHe3t54/fo1RowYoYNoDY91KCIiIgKyXof6rKTU7NmzYWNj8zm7yJUEAaxQERERkc6EhITAyckJAODj4wMHBwfs3r0bly9fxowZM/JMUop1qLxh377dOHLkACQSCSQSCXr06IMWLVoDAIKC7mLZsiUICbmHWrXqYMGCJZnu78YNf/z8848YMeIndOnSAwCwdetGnD59Eubm5pg9ewGKFSsOAJg3bybatesAJ6fqejs+IiLKPbQezMDX1xeJiYkAgHbt2sHc3FznQRERERHlJcnJyTA1NQUAXL16Fe7u7gCAsmXL4vXr14YMjb5yI0YMRnj4C7WyMmXKYs2azdi2bQ9+/fUPLF++BM+fhwEAbGxsMWrUGIwcOSZL+4+JicHatStQp059sSw2NgYnThyHl9cudOzYGX/9tQcA4O9/DWZm+ZiQIiL6imidlBo+fDhcXV3Ro0cP/PHHH7h69SoSEhL0ERsRERFRnlC+fHns3r0bAQEBuHr1Kho0aAAAePXqFQoVKmTY4Ig+4epaC5aWlgAAO7tisLa2QUTESwBA0aJ2qFSpiphkzczvvy9C374DxNm7AcDIyBhKpRLJyclISEiAVCpFQkICtm7dhGHD8karQSIiyhqtu+/5+fnh1q1b8Pf3h7+/P7y8vCCXy1GlShXUrl0bP//8sz7iJCIiIvpijR07FiNGjMCmTZvQoUMHVKhQAQBw9uxZsVsfUW7k738d0dHRqFixstbbnjt3GhKJEdzcGuLChXNief78+dG1a08MGfIDrK1tMHXqTGzcuBbduvWEhYWlLsMnIqJcTuuklFQqhYuLC1xcXDB06FCEhIRg06ZN8Pb2xr///sukFBEREdEnateujWvXriEmJkatxUiXLl2QP3/+HItj/fr1WLJkCfr06YMpU6YAABITE7Fw4UIcP34cSUlJcHNzw4wZM2Bra5tjcVHOmjNnOh4+fAAAeP48FOPGjYaJiRQAsGDBYhQvXgIA8PDhAyxYMBuzZi3Q+nMaGfkGXl6bsWLFujSXe3h4wsPDEwAQHByE168jULt2PSxZsgjv3r1FtWrO8PTslt1DJCKiL4TWSanHjx/Dz89P/C8pKQmurq4YP348ateurY8YiYiIiL54xsbGKFiwINavX49u3bqhQIECKFmyZI49/61bt7B79244Ojqqlc+fPx8XLlzAH3/8ASsrK8yZMwcjRozA7t27cyw2ylnTps0W/x4xYjCmTJkpJqJUHj9+hPHjf8KkSdNQrVp1rZ/j3r1gREa+wQ8/pAxsHhX1HpcvX8S7d+8wZMiP4nrJyclYteoPzJw5DydPHkehQoXwyy8TMHLkENSr5wZ7+5z7jhARUc7TOinVqlUrWFtbo0+fPhg0aBAcHR0hkUj0ERsRERFRnrN27Vq0atUKBQoUyLHnjI2Nxbhx4zB37lysWbNGLI+Ojsb+/fuxePFi1K1bF0BKkqp169a4efMmqlevnmMxUu7x5MljjBs3GuPHT0HNmnWytY969dzg7X1SfDxv3kw4OMjE2fdUdu/+E82atYSNjS3i4xPE6wqJRMJxa4mIvgJaD3Teu3dv2NnZYdWqVZg5cyZ+//13XL58GfHx8fqIj4iIiChPEQQhx59z9uzZaNiwIerVq6dWfufOHcjlcrXycuXKoUSJErh582YOR0m5xR9//IaYmBisWbMC/fr1QL9+PXD9ui8A4NmzJ+jYsTVWrPgd169fQ8eOrXHgwD4AQHDwfxg7dlSWn+f58zAEBv6Ddu06AABatGiFf/4JQO/eXVCyZCmUK1de58dGRES5i0TIZs3ow4cPCAgIgL+/P/z8/PDgwQNUrFgxTzT1fvMmGgaoLxIREVEuI5EAtrZWOt2ns7Mzjhw5glKlSul0v+k5duwY1q5di7/++gtmZmbo3bs3KlSogClTpsDb2xuTJk3CnTt31Lbp3LkzateujXHjxmn1XFFRceLfCoUAhUIJY2MjGBtLUpUroVAIMDExgpHRx/LkZCWUSgFSqTFSN8KXy5UQBAGmpsZqzyWXKyAI0ChPSlJAIgGk0rTKJZBKP96TFYSU/RgZSWBi8rFcqRSQnKyEsbEExsYfy3lMPCYeE4+Jx8Rj4jFl7ZiMjCSwscl88gqtu++pKBQKJCcnIykpSfzv8ePH2d3dV+nq1cvYuHEtHj9+iA4dOmP06F/Ulp8/fwabN68X76j++usfGv39gZS7WZcvX8TLl+HYsmUHHBxSxopITk7GtGkT8OLFC9jbl8Ts2QtgYmKCxMREjBkzAgsWLMnRrgNEREQEHD9+HEWLFs2R5woPD8e8efOwefNmmJmZ6f35VJXW1FIqxJrrJicr091HWpKSsl4uCOmVC2mWK5Vpl6dU8tMq5zHxmHhMPCYeE8BjAnhMGR1TVmidlJo7dy6uX7+Ohw8fokCBAqhZsyY8PT1Rq1YtjYEzdWndunU4efIkHj16hHz58sHZ2Rljx45F2bJlxXVy8+wxaQ0iWbJkKUyaNB3nzp3W6P54/34w1q9fjeXL18LWtgji4mJhZGT86W4BAI0aNUGPHn0wfPhAtfLr131hZVUAXl5LMH/+LFy/7ov69b/D1q0b4eHRhQkpIiKiHJaUlASJRIKIiAi18hIlNG866cLdu3cRGRkJDw8PsUyhUMDf3x87duzApk2bIJfL8eHDB7V6QWRkJIoUKaKXmChviIh4iYiIl+kut7MrBju7YjkYERERfYm0Tkq9evUKXbt2Ra1atSCTyfQRU5r8/PzQs2dPVK1aFQqFAkuXLsWAAQNw7NgxmJubA/jyZo/55ptvAQAXL57TWLZ79w507doTtrYpFUJzc4t091O9eo00y1NaRaUMEJmYmACpVIoHD0Lw7NkTtVlPiIiISL+ePHmCyZMnIzAwUK1cEARIJBIEBQXp5Xnr1KkDb29vtbJJkyahbNmyGDRoEIoXLw6pVApfX1+0aNECAPDo0SO8ePGCg5xThry8NmPx4oXpLh87diLGj5+cgxEREdGXSOuk1PLly/URR6Y2bdqk9njhwoWoW7cu7t69i5o1a+a52WOePHmEYsWKY8SIwYiNjUG9et+hf//BMDZOu7VUWmrWrI3z58+gb9/uqFy5CmrUcMUvv4zClCkz9Bg5ERERfWrixIkwMTHB2rVrUbRo0RybudjS0lLjJqK5uTkKFSoklnfq1AkLFy5EwYIFYWlpiblz58LZ2fmLqztRzurbtz9atmwNAAgJuYdhwwZhzZoN4jASbCVFRERZka0xpZ49ewYvLy88fPgQAFC+fHn06dMH33zzjU6Dy0h0dDQAoGDBggAynz3GEBWrOXOm4+HDBwCA589DMW7caJiYSAEACxYsTnN8KBWFQoGQkHtYsmQ5lEoBEyeOwaFDf6FTp65Zfn4jIyNMmDBVfLx37040aNAQCoUCM2dOgVyeBA+PLnBxqZnNIyQiIqKsCA4Oxv79+1GuXDlDh6Jh8uTJMDIywqhRo9SGPyDKSFrd8xwcHOHkVN0wARER0RdJ66TUpUuXMGzYMFSsWBE1aqR0G/vnn3/Qpk0brF27FvXr19d5kJ9SKpWYP38+atSoId7le/PmDaRSqcY4STY2Nnj9+rXeY0rLtGmzxb/TGlMqI3Z2xdCgQWOYmeUDADRo0Bh3797WKimV2suX4fD1vYIlS1Zg3rwZaN++IypUqIjBg3/An3/uzdY+iYiIKGvKlSuHd+/eGToMAMD27dvVHpuZmWHGjBlMRBEREVGO0zoptWTJEvTr1w9jx45VK1+8eDEWL16cI0mpWbNmISQkBDt37tTL/lNPZ6irqRVVzfTTmloRAIyNJWrLmjZtiStXLqBDhw5QKpW4ceM6qlVzFveV1nSRqthV+0k9XeTy5UswZsw45MsnRUJCAiQSyf/HnIoX1+cUmDwmHhOPicfEY+IxaR5TdsXExIh/jx07FosXL8bPP/8MmUwGqVSqtq6lZeZTJhMRERHlNVonpR4+fIg//vhDo7xTp07w8vLSRUwZmj17Ns6fP48///wTxYp9bDJsa2urs9lj9DGdsWo6xNRTJQYE+GHevJmIjY2FIAg4c+Y0fvllAtzcGqJp0+a4fz8YXbt2gpGREapVc4aHR0orqUuXzuPy5YuYOHEaAODXX+fB1/cK3r6NxMiRw2Fubo49ew6Jz+Pj44Ny5RxQqlRpJCUp0LNnXyxaNA/JyXL07TtAY/pGToHJY+Ix8ZhSynlMPCYeU1anM06Lq6urWlJLEAT069dPY//6HOiciIiIKDeTCFrWtho2bIiJEyeiVatWauXHjx/Hr7/+ivPnz+syPpEgCJgzZw5OnTqF7du3o3Tp0mrLo6OjUbduXSxZskRt9phWrVphz549Wo0p9eZNtEZSioiIiL4+Eglga2uVrW39/PyyvG6tWrWy9Ry5DetQX6dbt26iadMGOH36IseUIiIiAFmvQ2ndUsrT0xPTp09HaGio2phSGzZs0Lj7p0uzZs3C0aNHsXr1alhYWIjjRFlZWSFfvnywsrLi7DFERESUa+SVRBMRERGRvmidlPrxxx9haWmJzZs3Y+nSpQCAokWLYsSIEejTp4/OA1TZtWsXAKB3795q5QsWLICHhweAvDl7TETES0REvEx3eVoznxAREVHu1a5dO6xfvx7Fixc3dChEREREBqVVUio5ORlHjx5F27Zt0a9fP3EAz5wYnPPevXuZrpMXZ4/x8tqMxYsXprt87NiJGD9+cg5GRERERJ8jLCwMycnJhg6DiIiIyOC0SkqZmJhgxowZOH78OADOFJMT+vbtj5YtWwMAQkLuYdiwQVizZgMcHBwBgK2kiIiIiIiIiOiLpHX3PScnJwQFBcHe3l4f8dAn0uqe5+DgyEEkiYiIvlCurq4wMzMzdBhEREREBqd1Uqp79+5YuHAhXr58icqVKyN//vxqyytUqKCz4IiIiIjymg0bNhg6BCIiIqJcQeuk1JgxYwAAc+fOFcskEgkEQYBEIkFQUJDuoiMiIiLKg5o0aYJNmzahdOnShg6FiIiIyGC0TkqdOXNGH3EQERER5Tnbtm1Lszw8PBwHDhyAra0tAOh1BmMiIiKi3ErrpBTHkvo8EokEEkn2t1X9a2SUvZ0IAiAIQvYCICIiIq3Mnz8fdnZ2MDY2VitXKpU4dOgQTExMIJFImJQiIiKir5LWSal169bBxsYGnTt3Viv/66+/8PbtWwwePFhnweU1EokEgmkiYpJjs7V9nCRK/Dda8jZb+7CQWkCSZMbEFBERUQ7o0qULbt26hSVLlqBcuXJieeXKlbF582aUL1/egNERERERGZbWSak9e/Zg8eLFGuUODg74+eefmZTKgEQCxCTHYpXfSryOfaP19pGPUrZZF7AONm9ttd6+iIUtfqw1AlYSMzAnRUREpH+zZ8/GqVOnMGDAAAwcOBC9evUydEhEREREuYbWSanXr1+jSJEiGuXW1tZ4/fq1ToLK617HvkF4dLjW232ITWkp9Sb2DZKi5boOi4iIiPSgWbNmcHJywvjx43H+/HksWLDA0CERERER5QpG2m5QvHhx/PPPPxrlN27cQNGiRXUSFBEREVFeYmdnh61bt6JmzZro2LEju9ETERERIRstpTw9PTF//nwkJyejTp06AABfX1/89ttv6N+/v84DJCIiIsoLJBIJhgwZgvr16+PGjRtptjwnIiIi+pponZQaOHAg3r9/j1mzZkEuT+lCZmZmhoEDB2LIkCE6D5CIiIjoSxcQEABXV1cAQJUqVVClShUDR0RERERkeFonpSQSCcaNG4fhw4fj4cOHyJcvH0qXLg1TU1N9xPfVS3yfgMT3iQCA2PAYtX8BwKyQGcwK5TNIbERERJQ1/fr1Q9GiRdG2bVu0b9+es+4RERERIRtJKRULCws8e/YM7u7uTEjpUej5UDw6/FCt7Pb62+LfZb8vh/IdHHI6LCIiItLCxYsXcfz4cRw9ehTr16+Ho6Mj2rVrh7Zt26JYsWKGDo+IiIjIILKdlAKA6dOno1q1ajA3N9dVPPSJUo1KoWj19AeQNytkloPREBERUXZYW1ujV69e6NWrF0JDQ3H06FEcOnQIS5cuhaurK7Zt22boEImIiIhy3GclpThzjP6ZFcrH7nlERER5SKlSpTB48GBUqFABy5Ytg7+/v6FDIiIiIjKIz0pKEeUW+/fvxeHD+2FkZAyFIhnt23vA07NbmuuGhj7DvHkz8f79e1haWmLy5BkoW7YckpOTMW3aBLx48QL29iUxe/YCmJiYIDExEWPGjMCCBUtQoECBHD4yIiLKS27cuAFvb2+cOHECiYmJaNKkCcaMGWPosIiIiIgMwuhzNt6wYQPs7Ox0FQtRlowYMRjh4S/Uylq0aI1t2/Zg69adWLt2M3bt2o7794PT3P633+ajffuO2L37AHr27IP582cBAK5f94WVVQF4ee2CpaUlrl/3BQBs3boRHh5dmJAiIqJsW7JkCdzd3dG3b1+Eh4djypQpuHLlCn777Tc0aNBAr8+9bt06dOrUCc7Ozqhbty6GDx+OR48eqa2TmJiIWbNmoXbt2nB2dsbIkSPx5s0bvcZFRERElO2WUpGRkQCAW7duoUyZMrCxsdFZUJT7aNMS6Y8/fsPlyxfx8mU4tmzZAQcHRwDQa0skS0tL8e/4+AQoFMlprvfu3VsEBwdh6dKVAIBGjZrg999/Q1hY6P9jSQAAJCYmQCqV4sGDEDx79gRDhvyYrbiIiIgAwN/fHwMGDECrVq1gbW2do8/t5+eHnj17omrVqlAoFFi6dCkGDBiAY8eOieOCzp8/HxcuXMAff/wBKysrzJkzByNGjMDu3btzNNb0SCQSSCSGjoLSI/n/myORSGBkxDcqtxIEDr9CRLmP1kmpmJgYzJo1C8ePH4dCoQAAGBsbo1WrVpgxYwasrKx0HiTlrBEjBmPKlJkoXryEWNaiRWt06tQFABAbG4PevbuiWrXqkMkqaGzfqFET9OjRB8OHD1Qr/9gSaQnmz5+F69d9Ub/+dzpriXTu3Gls2rQez5+HYvDgH9OMLSIiAjY2NjAxSfnoSyQS2NnZISLiJWrWrI3z58+gb9/uqFy5CmrUcMUvv4zClCkzPisuIiKi1Mmdo0ePwt3dPccmitm0aZPa44ULF6Ju3bq4e/cuatasiejoaOzfvx+LFy9G3bp1AaQkqVq3bo2bN2+ievXqORJneiQSCQTTRMQkxxo0DkpfnCRK/Dda8tbA0VB6LKQWkCSZMTFFRLmK1kmpqVOnIigoCGvXroWzszMAIDAwEPPmzcP06dPx+++/6zxIMrystkQCgOrVa6RZ/jktkebMmY6HDx8AAJ4/D8W4caNhYiIFACxYsBjFi5dA48ZN0bhxU4SHv8DkyWNRv74bvvmmdJaP0cjICBMmTBUf7927Ew0aNIRCocDMmVMglyfBw6MLXFxqZnmfREREnzL07MXR0dEAgIIFCwIA7ty5A7lcjnr16onrlCtXDiVKlMglSSkgJjkWq/xW4nUsuxTmRpGPUt6XdQHrYPPW1sDRUFqKWNjix1ojYCUxA3NSRJSbaJ2UOn/+PDZu3AhXV1ex7LvvvsPcuXMxcODADLakL11WWiJl5HNaIk2bNlv8O62WXKkVL14ClSpVwZUrlzWSUnZ2doiMjERycjJMTEwgCAIiIiJgZ1dMbb2XL8Ph63sFS5aswLx5M9C+fUdUqFARgwf/gD//3KvVcRMREaVmyFYKSqUS8+fPR40aNSCTyQAAb968gVQq1WixbGNjg9evXxsizDS9jn2D8OhwQ4dBafgQm9JS6k3sGyRFyw0cDRERfUm0TkoVKlQozS56lpaWHAj6C/alt0R6/PgRypQpCwB49+4dbtwIQKNG7hrrFS5sDZnMESdP+qB163Y4f/4MihQpipIlS6mtt2zZYowcOQZGRkaIj0/4/1gWRkhIiNc6NiIiotxi1qxZCAkJwc6dO/Wyf6nUWPxboRCgUChhbGwEY2NJqnIlFAoBJiZGauMPJScroVQKkEqN1caPUihSkngSCSBJtb4gCICgXgYAglIAJB/HOcpW+f/H3pFI/v/EGuUSIPVuBAGCAI3ydGPUtjyXH1N6f3/Jx5St8lx8TBIJYCQBJJAAEGBqaozU5HIFBAEa5UlJCkgk6t/tj+USSKUf580ShJT9GBlJYGLysVypFJCcrISxsQTGxh/LdfUbIZcrIQg8Jh4Tjyk3HlNWaJ2UGjZsGBYuXIhff/0VRYoUAQC8fv0av/32G4YPH67t7iiX0FVLpKzSdUukfft24datmzAxkUIQBHTp0h01a9YBAFy+fAGXL1/ExInTAADjx0/GvHmzsG3bFlhYWGDyZPWWWidP/o3y5WUoW7YcAKBXr75YtGgekpPl6NdvQLaOl4iISMVQsxfPnj0b58+fx59//olixT62ELa1tYVcLseHDx/UbjBGRkaKdb2sUlVaU0upEGuum5ysTHcfqRmlXEmnDNKs1GxlllaZ6gL+c8sFQfW/T8tTLvizXJ5WjNqW5+JjSu/v9NbPbux8n7J/TIIAKFM9V1JSGl/KdMoFIb1yIc1ypTLt8pSL5rTKP+83QoXHxGPiMeW+Y8oKrZNSu3btwtOnT9G4cWMUL14cABAeHg6pVIq3b99iz5494roHDx7UdveUS2W1JVJWfU5LpJUr12uUjR8/Jd313dwaws2tofj4m29KY926Lemu37x5S7XHlSpVgZfXrkzjIiIiyowhZi8WBAFz5szBqVOnsH37dpQqpd46uEqVKpBKpfD19UWLFi0AAI8ePcKLFy8MPp4UERER5W1aJ6WaNm2qjzgol9OmJdKvv86Dr+8VvH0biTFjRsLc3Bx79hwS9/U1tkRSKpVYtmwxfH2vQCKRoEuX7ujUqWua6yYlJWHlyt/h53cNpqamKF9ehunT5yA5ORnTpk3AixcvYG9fErNnL/j/4PGJGDNmBBYsWMIutEREuZQhZy+eNWsWjh49itWrV8PCwkIcJ8rKygr58uWDlZUVOnXqhIULF6JgwYKwtLTE3Llz4ezszKQUERER6ZVWSSmFQoHatWvD0dGRF7952Oe2RMpoXSBnWyJFRLxERMTLdJfb2RXTGOT8c6XV/fHEieN48uQxdu06gNjYGPzwQ084O7uKibnU1q5dAYlEgl27DkAikSAyMmVGm+vXfWFlVQBeXkswf/4sXL/ui/r1v8PWrRvh4dGF30kiolzMkLMX79qVco7t3bu3WvmCBQvg4eEBAJg8eTKMjIwwatQoJCUlwc3NDTNmzNDYFxEREZEuaZWUMjY2Rv/+/XH8+HFeANMXwctrMxYvXpju8rFjJ2L8+Ml6j+Ps2VNo164DjI2NUaBAQTRp0gynT5/A4MHq47DFx8fj6NEjOHjwmDgwnI1NytTKKa2iEgAAiYkJkEqlePAgBM+ePcGQIT/q/RiIiCj7DDl78b179zJdx8zMDDNmzGAiioiIiHKU1t33HBwcEBYWpjEeAX2dDNESSRt9+/ZHy5atAQAhIfcwbNggrFmzAQ4OjmJ8OSEi4iWKFSsuPi5WrATu3r2tsd7z52EoUKAAtm3bgoAAP5iZmaF//8Fwda2FmjVr4/z5M+jbtzsqV66CGjVc8csvozBlCi8giIhyO85eTERERKRJ66TUTz/9hEWLFmH06NGoXLkyzM3N1ZZbWlrqLDjK/XJLS6T0pJUUc3BwhJNTdZ0+z5w50/Hw4QMAwPPnoRg3bjRMTKQAgAULFmd5PwqFAi9fhqN06TIYNmwk7t8Pxs8//4jt2/fC2toGEyZMFdfdu3cnGjRoCIVCgZkzp0AuT4KHRxe4uNTU6bEREdHn4+zFRERERJq0TkoNHjwYQErlStW9CEiZ2UUikSAoKEh30VGul1taIhnatGmzxb/TGlPKzq4YXr4MR5UqTgCAly9fpPna2NkVg5GREZo3bwUAkMkqoHhxezx8+ADW1h9naHr5Mhy+vlewZMkKzJs3A+3bd0SFChUxePAP+PPPvfo6TCIiyibOXkxERESkSeuk1LZt2/QRB32hcqol0peuceOm8PY+hMaNmyI2NgZnzpzCr7/+obFeoUKF4OJSE35+vqhb1w0vXjxHePhzlC5dRm29ZcsWY+TIMTAyMkJ8fAIkEgkkEiMkJMTn0BEREZE2OHsxERERkSatk1K1atXSRxxEeVqLFq0RFPQfunXzgEQCdO3aE+XKlQcAXL58AZcvX8TEidMAAGPHTsLChXOwZs0KSCRGGDduMooUKSru6+TJv1G+vEycua9Xr75YtGgekpPl6NdvQM4fHBERZYizFxMRERGlLUtJqeDgYMhkMhgZGSE4ODjDdStUqKCTwIi+VCtXrtcoMzY2xi+/TEhzfTe3hnBzayg+trcviRUr1qW7/+bNW6o9rlSpCry8dmUzWiIi0jfOXkxERESUtiwlpTp06IArV67AxsYGHTp0gEQigSAIGutxTCkiIiIiTZy9mIiIiEhTlpJSZ86cgbW1tfg3EelGRMRLRES8THd5WmN2ERHRl4ezFxMRERFpylJSyt7ePs2/iejzeHltxuLFC9NdPnbsRIwfPzkHIyIiIn3g7MVEREREmrQe6BwAnjx5guvXryMyMhJKpVJt2YgRI3QSGNHXoG/f/mjZsjUAICTkHoYNG4Q1azbAwcERAAzeSootuYiIdIOzFxMRERFp0joptXfvXsycOROFCxeGra2t2t0+iUTCpBSRFtJK6jg4OMLJqbphAvoEW3IREekGZy8mIiIi0qR1UmrNmjX46aefxGboRJR35faWXEREuRlnLyYiIiLKmNZJqaioKLRq1UofsRBRLpPbW3IREeVmnL2YiIiIKGNaJ6VatmyJy5cvo3v37vqIh4iIiChP4OzFRERERBnLUlIq9eCc3377LZYtW4Z///0XMpkMJibqu+jTp49uIyQiIiL6AnH2YiIiIqKMZSkptXXrVrXH5ubm8PPzg5+fn1q5RCJhUoqIckxunx0wt8dHRDmLsxcTERERqctSUurs2bP6joOISGu5fXbA3B4fEeUczl5MREREpEnrMaUob5NIJEhVT9Z6W9W/RkbZ24kgIM1BYFM/R26Oj3JWbp8dMLfHR0Q5h7MXExFRXsdeApQdWielRo4ciapVq2pUqjZs2IDbt29j+fLlOguOcpZEIoFgmoiY5NhsbR8niRL/jZa8zdY+LKQWkCSZpTs7UW6Oj3Jebp8dMLfHR0Q5h7MXExFRXsdeApQdWiel/P3902xi3qBBA2zZskUnQZFhSCRATHIsVvmtxOvYN1pvH/koZZt1Aetg89ZW6+2LWNjix1ojYCUxQ1o5n9weHxERUXo4ezHlNYnvE5D4PhEAEBseo/YvAJgVMoNZoXwGiY2IDIO9BCg7tE5KxcXFQSqVau7IxAQxMTFpbEFfmtexbxAeHa71dh9iU1oivYl9g6Roua7DEuX2+IiIiADOXkx5W+j5UDw6/FCt7Pb62+LfZb8vh/IdHHI6LCIyIPYSoOzQOiklk8lw/PhxjdZSx48fR/ny5XUWGBER6Rf7/RPpF2cvprysVKNSKFq9aLrLzQqZ5WA0RET0pdI6KTV8+HCMHDkSoaGhqFOnDgDA19cXx44dw7Jly3QeIBER6Qf7/RPpF2cvprzMrFA+ds8jIqLPpnVSyt3dHatWrcLatWtx4sQJmJmZwdHREVu2bEGtWrX0EaPWduzYgU2bNuH169eoUKECpk2bBicnJ0OHRUSUq7DfPxGlxvoTERER5TStk1IA0KhRIzRq1EjHoejG8ePHsWDBAsyaNQvVqlWDl5cXBgwYgL///hs2NjaGDo+IKNdgv3+inJPbZy9m/YmIiIgMwcjQAejali1b0KVLF3Tq1Anly5fHrFmzkC9fPuzfv9/QodFXQCKRwMgoe/9JJBKd7YOIiHIXf39/NGzYUKO8QYMGCAgIMEBE6lh/IiIiIkPIVkup3CopKQl3797FkCFDxDIjIyPUq1cPgYGBWuxHDkEQdB6fkZEESZIkKOQKKJOVOt9/ZhRyBZKSkpAkJEGp1Dy+z41PqVCK/2Zn+y89PolEAsE0EbHyWK33DQBRyW/EfyPl6Q8+nRELEwtI5GZ6+fzK5XLx36SkJJ3v/3Mxvs+T2+MjMhRdJftz8+zFuqo/pexL93UoQ9efiPKCzOqxRLrGuiVltQ6Vp5JS7969g0Kh0GhmbmNjg0ePHmV5P6tXL0diYqKuw4NEIkGSJB4Pnz9AXFKczvefmVjTGKwOXAVTIX+aFcbPjS/uXco27669Q+I97V+/vBLfnVd3kJCcoPX+YyJTLkpm/TELljaWWm+fzyQfqhStkm58qhizSzVL265df+Ls2dPZ3k9GFyuML3Nfa3y6wvg+z5ccX3aZmZlh7tyZn72f3Dx7sa7qT4B+6lCGrj8R5QWZ1WO/VLnh3ENp01XdkvRPX78JWa1D5amklK4YGxvB2DilZ6MgCFAqBY2uUemVK5UCBEEQt09dDgCmxqaobf9xQHjV2//pz6k25ak/QpmVS41NIVEAgoA0j0lqJEUt+1pa7V9VFmEegRDch2sJFxQtZpetY5Iam8JYkEAQJFAolGJXNgCQSABTmKLW/18/bV+DV6r47F1Q1M4uS8f0ablpqvgA/D/GlDvKEglgKjFF1aJVsvU+vTKKwL+4iUpFK8LOzk6r91VVLjWSwkiQqC1RfSZNTIxgokiGRJ4kbiAg5XVVO1bh/1t/Um4qTxD/zSePV99HGsGkVS5ITZEoMYZEAo3PniAAZlB8jC8r+09VlmZ8mRzTp+WC1BRyYxONz57qSaWKZEjk8iwd66flqeMzS4rP0jF9Wi5ITZFsYgJBUP/s4f/LTRTJQFJSlt+P1OVqr19SvFbvq6ocph/jA9R/D1XxSeRJWn/20izX8rMHARCkUiQZmaT5W25sLIFUqdD8fqS3/wzep+wek+r7AUDts5ft74e25Zkck+rzl5ys/tnD/9cxSZZn+/uhi3Ih1ecv/XOxEoIAjfJPv0/q5bq54PlaZi/WVx1KaiRVqz8BOV+H0kf558SeXjmPiceUXrnU2BRITvlbV7+P6nWltMu1/S3I6m+EWLdIStLbuTknz2M5Vd/Iqdg16uZ54Jjy4vuUUf09NX3WoT47KaVQKHD//n2UKFECBQsW/NzdfZbChQvD2NgYkZGRauWRkZGwtbXN8n6GDBmht2yhRCLR/NDmIEFApne6sxvfrVv/YpfXLvTtMQhOTtVyb3zdc3F82/QXn5GRBAWi30JYuwbC6zda7/tm1AdsBNAn6gOqG2t2QcmMpIgtJAMH4YOVdbrdMxnfVxLfG+3j+1ySIraQDBqst9dPJ/Hp8f392uP7rH3r6KSdm2cv1lX9CdBfHcrQ9SeivCCzeuyXxtDnHsrY59YtSf/0WX8Csl6H0jopNW/ePMhkMnh6ekKhUKBXr14IDAxE/vz5sXbtWtSuXVvrYHXF1NQUlStXhq+vL5o2bQogJaPn6+uLXr16abEfKfLQ73WOMTExEf81Mcl9Pzxfe3xGRhKYmppCMDaGYGys9fbS/2e/pUZGMM3G9hJjY0hMTWFqapruRa2pqSmUb98Br15pH9+HqJR/376FabJC6+1hbAwjxpdr4/tseogvPDEBLzPoplTMzAzFzfIZLD6d+sLj+xy6TITk1tmLdVV/StkX61BElDMMfu6hDH123ZL0T4/1JyDrdSitk1InTpxA+/btAQDnzp1DWFgYfHx8cPjwYfz+++/YvXu3trvUqR9++AETJkxAlSpV4OTkBC8vL8THx8PDw8OgcREZmiAAgoUFJD+O0GhWnhVGd24DR71hNGQIjKpUzV4MFha8WKE8Y2NoKOY9epju8illy2FaeYccjIgo+1h/IiIiIkPQOin17t07FClSBABw4cIFtGzZEmXKlEGnTp2wbds2nQeordatW+Pt27dYvnw5Xr9+jYoVK2Ljxo1aNz8nymsEQcAHiRkkVmbZ2j7GvKD47wcr62zGkLeajdPXbWCpUmhbtCgA4F5sDPrdvo2tVavC0SJlooJiZtn7rhEZAutPREREZAhaJ6VsbW3x4MEDFClSBJcuXcLMmTMBAAkJCTDORpcefejVq5fWzc2JvgaqAZOzu63qX31OJSwpYots7d30/10ebW0BG+0voiRFeOGV2+i0e5weFDfLp/H8jhaWcC5g2PEVibKL9Sci+hJlu+5I+vWZdXPSv9xy/aN1UsrDwwM//fQTihQpAolEgnr16gEA/v33X5QtW1bnAVLuFhHxUpzuMyTkntq/AGBnVwx2dsUMEht9Wb6U7oW5PWmW2+PTBrvHERERUXo+t+5I+qWLujnpX24YXkXrpNTIkSPh4OCAly9fomXLljA1NQUAGBsbY9CgQToPkHI3L6/NWLx4oVrZsGEfPwdjx07E+PGTczos+gLl9u6FuT1pltvjyw52j6O8LDfNXkxE9CX63Loj6Zcu6uakf7lheBWtk1Lh4eFo2bKlRnnHjh11EhB9Wfr27Y+WLVunu9zQraTYkuvLkpu7F+b+pFnuji872D2O8pLcPHsxEdGX6nPqjqRfOTX0B335tE5Kubu7w8XFBe3bt0eLFi14d+8rl9uTOmzJRbqUm5Nmqn3n5viIvma5ffZiIiIiIkPQOim1f/9+eHt7Y9WqVZgzZw6+++47tG/fHu7u7mJXPqLcIre35CIioq9Dbp+9mIiIiMgQtE5KVapUCZUqVcL48eNx/fp1HD16FNOnT8fUqVPRrFkzLFiwQB9xEmVLbm/JRUREX4cvYfZiIiIiopxmlN0NJRIJ6tSpg7lz52LLli0oWbIkDh06pMPQiIiIiPIG1ezFbdu25ezFRERERP+ndUsplZcvX8Lb2xtHjx5FSEgIqlevjunTp+syNiIiIqI8gbMXExEREWnSOim1e/duHD16FP/88w/Kli2Ldu3aoW3btrC3t9dHfER5GmcHJCJ9CU9MwMvExHSXFzMz05jdkPSHsxcTERERadI6KbVmzRq0adMGU6dORYUKFfQRE9FXg7MDEpG+bAwNxbxHD9NdPqVsOUwr75CDEX3dOHsxERERkSatk1Lnz5+HRCLRRyxEXx3ODkhE+jKwVCm0LVoUAHAvNgb9bt/G1qpV4WhhCSClpRTlHM5eTERERKRJ66QUE1JEusPueUSkL8XN8ml0z3O0sIRzAbbQMQTOXkxERESkKdsDnRMREWlLUsQWQnY2NJWm/GtrC9jYZut5iXID1ezFderUQffu3TFlyhQcOnSISSkiIiL6KjEpRUT0lcrJgfYFARAsLCD5cQSy097W6M5t4Kg3jIYMgVGVqtmLwcICQrYyYkS6w9mLiYiIiD5iUoqI6CuVkwPtC4KADxIzSKyyN45RjHlB8d8PVtbZjCElDiJD4OzFRERERJqYlCIi+krl9ED7giBku6WSKpkkCAKUSiaW6MvD2YuJiIiINGUrKfX333/Dx8cH4eHhkMvlassOHjyok8CIyPBysnsX6VZiYiJmzpyMx48fw8zMDIULF8bYsZNQsmQpcZ203r9582bCx+cofHzOwcrKCh8+fMCUKeMQFfUeTk7OGDt2IgDg3bt3mDZtAv74YzVMTPLO/Q2OeUX6wtmLiYgor+O1A2WH1lcS27Ztw++//w4PDw+cOXMGHh4eCA0Nxe3bt9GzZ099xEhEBpKT3buygye+jLVv3xF16tSHRCLB/v17sHDhHKxcuT7d9S9cOKuRYDp1ygc1arjihx8GYdSooXj06AHKli2PlSuXYujQkXkmIcUxr0jfmJAiIqK8LrdfO1DupPXVxM6dOzFnzhy0bdsWBw4cwKBBg1CqVCksW7YMUVFR+oiRiAwkp7t3aYsnvvSZmZmhbl038XHlylWxa9ef6a7/9m0ktm3bghUr1sLb+5BYbmxsgoSEBCiVSsjlSTAxkeLatauwsiqAKtlMvuRGHPOKiIiIKHM///wj3r6NhERiBHNzc/z001jIZCnd0lNfOyiVShw4sA///XcHRkZGsLCwRPPmLQEAL148x4wZkxEfH4/mzVuiT5/+AIAnTx5jzZrlWLTod8McHBmE1kmp8PBwODs7AwDy5cuH2NhYAMD333+Prl27cgYZoi9IaOgzzJs3E+/fv4elpSUmT56BsmXLictVLY2USiVWr16O69evQqFQoGrVahg7dhKkUqneTipZ6X6W+sR3+/a/OHBgH5RKJUqUsEefPv1RunQZg570clNLrn37dsHNrWG6yxctmovhw0fB3NxCrbxFi9aYN28GfvihJxo0aIQiRYpi4cI5WLx4mb5DznEc8ypnhScm4GViYrrLi5mZobhZvhyMiIiIiDIze/ZCWFlZAQAuXDiHefNmwctrFwD1uu3Fi+cRHv4Cu3cfhImJCbZu3Yj9+/eievUaOHBgHzw8PNG8eSv06uWJzp27In9+cyxfvgRjx04y2LGRYWidlLK1tUVUVBTs7e1RvHhx3Lx5ExUqVEBYWBjv8BJ9YX77bT7at++I1q3b4dy505g/fxY2btymsd7Ro4dx/34wNm/eARMTE/z66zzs27cLPXr00etJJbPuZ6oTX1xcHKZMGY+VK9fj229LY+nSRQgI8EPt2nWxcuUfBjvp5ZaWXNu2bUZYWBiWLZuS5nJv70OwsysGF5eaGsvy58+PuXN/FR8vX74EPXv2RVhYKLZt2wIA6Nt3ABwcZPoJnvKsjaGhmPfoYbrLp5Qth2nlHXIwIiIiIsqMKiEFALGxMel2T5dIALlcjqSkRBgbGyMuLhZFixYFAJiYmCAxMQHJyckQBAESiREOHdqPmjXroEQJzkr7tdE6KVWnTh2cPXsWlSpVQqdOnbBgwQKcOHECd+7cQbNmzfQRIxHpwbt3bxEcHISlS1cCABo1aoLff/8NYWGhaq2RAODBg/twda0FqTRlMOc6deph8+b16NGjj95OKtp0P7t27SocHBzx7belAQAdO3pizJgR+PHH0QY96eV090cfn6PYs2cnAMDTsxvatGmPnTu348KFc/jjj9XIly/tVif//BOAf/8NxNWrl1PF3g0LFy4Rm2MDwH//3cG7d+9Qv/53GD58IKZNmw1BEDB//qwMx6oi3clLA7EPLFUKbf9fOb0XG4N+t29ja9WqcLSwBJDSUoqIiIhynzlzpiMw8AYA4Lff0m49X79+A/zzzw20b98C5uYWsLUtItYXO3fuhvnzZ+Lw4QPo1q0XYmNjcP78GfG6hL4uWiel5syZA6VSCQDo2bMnChUqhMDAQLi7u6Nr1646D5CI9CMiIgI2NjbiQNUSiQR2dnaIiHipkZRydKyIw4cPoFOnLjAzy4ezZ08hPDwcQM6dVDLqfhYR8RLFin1M8BQvXgKRkW+QnJyst/i0md3uxYvnmDp1ApRKJRSKZHz7bRmMHz8FBQoU0Gn3wlat2qJVq7bi4927/8Tp0yfwxx+r1e5qfWrGjLlqj93cXOHltVttm+TkZKxZswKzZs0HACQkxEMikUAikSAuLi7LMVL25MWB2Iub5dPonudoYQnnAgV19yS5DGcvJiKivGDatNkAUm6IrlmzHIsXL9dYJzj4Pzx69BAHD/rAwsICa9euwOLFCzB9+hzY2tqq1cWnTp2AESN+wj//BODQob8glZpi6NARKFaseI4dExmO1kmply9fonjxjx+ONm3aoE2bNhAEAeHh4ShRooROAyQiw2vduh1evgzHiBGDYWaWD66uteDndx0AcuSkkln3s4zoM76szm5na1sEa9ZshNn/L8D/+GMxNm9ej59+Gqu37o+vXkVg5co/UKKEPUaNGgoAkEql2LDBCwCwceNa2NraokOHzlna386d29CyZRtYW9sAAAYMGIqxY0cDAH78cVS246Ss4UDsXz5DzF4cFhaG1atX49q1a3jz5g2KFi2K9u3bY+jQoTA1NRXXCw4OxuzZs3H79m1YW1ujV69eGDRoUAZ7JiKir0VaLfFVWrVqi99+W4CoqPcoWLCQ2nZ//30MLi6u4k3Oli3bYsyYERr7P3/+DOztS8LBwRE9e3bGhg1eCA4OwsaNazF16iz9HRjlGlonpZo0aYLLly/DxsZGrfz9+/do0qQJgoKCdBYcEelW6pNK06bNERkZieTkZJiYmEAQBERERKTZpUwikWDAgCEYMGAIAOD06RMoU6asxnqfe1LJbvczO7ti8Pe/Lj4OD38BGxtbsRWYruJLTZvuhakv/hQKBRIS4pE/vzkA/fWpL1rUDpcvB6S7fODAoekuS2s7VQsulfr1v0P9+t9lOz7SHgdi/7IZYvbiR48eQRAEzJ49G99++y3u37+PadOmIT4+HhMmTAAAxMTEYMCAAahbty5mzZqF+/fvY/LkyShQoABbwBMRkVpL/OjoaLx58xq2tkUApAxmXrBgQRRIo5VziRL28PW9iu7de0MqleLq1UtqEyqp9rdv324sXboCAJCQkACJxAgSiQTx8WyJ/7XQOimVctGk2XkgLi4OZhz/gShX+7R717VrV3HypA9at26H8+fPoEiRohpd94CUrmqJiYkoUKAA3r9/jz//9NJIaujipJLd7md16tTF0qWL8PTpE3z7bWkcPLgPTZo013l8Gclsdju5XI5Bg/ri5ctwlC/vgIULlwJgn3qir4UhZi9u0KABGjRoID4uVaoUHj9+jF27dolJqSNHjkAul2P+/PkwNTWFg4MDgoKCsGXLFialiIhITWxsDKZNm4DExERIJEYoVKgwfv31dzE/sHDhHLi5NYCbW0N4eHTB06dP0K9fd5iYmMDa2kajF8CaNcvRv/9gsTdB374DMHBgb5iYSDFp0rQcPz4yjCwnpRYsWAAgpcXEH3/8gfz584vLFAoFbt26hQoVKqS3ORHlQuPHT8a8ebOwbdsWWFhYYPLkGeKy1CeV2NgYjBw5BBKJEQRBCU/PbnBza6C2L12fVLTpfmZuboGJE6di0qRfoFAoULZsOUyZot7ySZ8nvax0L5RKpdi6dSfkcjl+//1XHD68Hz179mWf+gxERLxERMRLAEBIyD21fwH1aYeJcrvcMntxdHQ0Chb8eEf75s2bcHV1VWvR6ebmhg0bNiAqKkptXSIi+roVK1YcGzZoztStMnHixzq1qakpJkyYmuH+xo9Xrzu3b98R7dt3/Lwg6YuT5aTUf//9ByClpdT9+/fFWbiAlA9chQoV0L9///Q2J6Jc6JtvSmPdui1pLkt9UrG2tsGOHX9luC9dn1S07X7m5tYww5ZKuogvu90LU5NKpWjduj1+/XUuevbsq7aMferVeXltxuLFC9XKhg37OM7N2LETMX785JwOiyhbcsPsxU+fPsWff/4ptpICgDdv3qBkyZJq69na2orLmJQiIiIifcpyUmr79u0AgEmTJmHKlCmwtLTUW1BERLlRdrsXvnwZjkKFCiNfvnxQKpU4d+40ypVzUFvna+xTn5SUhJUrf4ef3zWYmpqifHkZpk+fIy7v27c/WrZsjUePHmL37pTxuhQKBcqVKw9Pz+4oWbIUgoP/w8KFc5GcLEfPnn3F9+fGDX+cOXNSIxlJZCi6nL148eLF2LBhQ4brHD9+HOXKfRy7IyIiAgMHDkTLli3RpUsX7Q8gi6RSY/FvhUKAQqGEsbERjI0lqcqVUCgEmJgYwcjoY3lyshJKpQCp1BipR4qQy5UQBAGmph/3nVKugCBAozwpSQGJRD2Wj+USSKVGYpkgpOzHyEgCE5OP5UqlgORkJYyNJTA2/ljOY+Ix8Zh4TDwmHhOPKevHlBVajyml6sZHRPQ106Z74YMHIdiwYTUAQKlUQiargJ9+Gqu2v6+xT/3atSsgkUiwa9cBSCQSREa+UVuu6p4nk1VA27bfw8TEBEqlElOmjMeDB/fh4lITK1YsxU8/jYWjY0X06dMNrVq1RWJiAjZvXi+O20WUG+hy9uL+/fujY8eMW3qWKvVxfMCIiAj06dMHzs7OmDNnjtp6tra2ePNG/buneqxqMaUNVaU1tZQKsea6ycnKdPeRlqSkrJcLQnrlQprlSmXa5SmV/LTKeUw8Jh4Tj4nHBPCYAB5TRseUFVlKSo0YoTl1Y3pWruTgvESU92nTvTBlbK4G6a4LfH196uPj43H06BEcPHhMvItiY5P2BXDqbpFyufz/g2umbGNsbIKEhAQkJSWKd4s2bVoPT89uGbZeI8ppupy92NraGtbW1llaV5WQqly5MhYsWAAjIyO15dWrV8cff/wBuVwuDs1w9epVlClThl33iIiISO+ylJRixZ6IiHTp+fMwFChQANu2bUFAgB/MzMzQv/9guLrWSnP98PAXmDjxF7x4EYa6dd3QsaMnAOCHHwbht9/mIz4+HsOHj0ZIyD28ePEcw4ePysnDIcqUIWYvjoiIQO/evVGiRAlMmDABb9++FZcVKZIynXe7du2watUqTJkyBYMGDUJISAi2bduGSZMmpbdbIiIiIp3JUlKKXfaIiEiXFAoFXr4MR+nSZTBs2Ejcvx+Mn3/+Edu374W1tY3G+sWLl4CX1y7ExcVhzpxpuHDhLJo2bYHSpctg1aoN4j7HjBmBadNm49Spv3H+/BlYWFhixIifUaBAgZw+RCIAhp29+MqVK3j69CmePn2KBg3UW2veu5cyk6WVlRU2bdqE2bNnw8PDA4ULF8bw4cO1HueKiIiIKDu0HlMKAJKTk+Hn54dnz56hbdu2sLS0REREBCwtLWFhYaHrGImIKA9IPXth8+YtYWRkhObNWwEAZLIKKF7cHg8fPkgzKaVibm6OJk2a4+TJv9G0aQu1ZXv37kLjxk1gaWkFL69N2Lp1F06cOI59+3ZhwIAh+jswogwYcvZiDw8PeHh4ZLpehQoVsHPnTr3EQERERJQRrZNSz58/x8CBAxEeHo6kpCTUr18flpaW2LBhA5KSkjB79mx9xElERF+4T2cv9Pe/Dj8/X9St64YXL54jPPw5Spcuo7FdWFgoihUrDhMTE8jlcly8eB7lypVXW+fFi+fw97+OJUuWIzY2FsnJKTN+GBkZIS4ub85emJmIiJeIiHgJAAgJuaf2L/BxIHnSL85eTERERJQ+rZNS8+bNQ5UqVXD48GHUrl1bLG/WrBmmTcubM0QREZHujR07CQsXzsGaNSsgkRhh3LjJKFKkKABg4cI5/x8gviFu3PDHX3/thpGRMRQKBVxda6Jfv4Fq+1q2bDFGj/4FEokElpaWaNasBfr27Yb8+fNj1iz9dEHP7UkfL6/NWLx4oVrZsGGDxL/Hjp2I8eMn53RYXy0OhUBERESkSSJkdZ6+/6tduzZ27dqFsmXLwtnZGUeOHEGpUqUQFhaGNm3a4N9//9VXrDnmzZtojemMiYiIUvv11/kaSZ/UDJ30SZ00S4suk2ZGRhIUiH4L5cyZQHi41tsHfohC3Wu+8K1TF84FsjHjW/HiMJo5Ex+srKFU6vYELpEAtrbZm/Dla5y9mHUoIiIiArJeh9K6pZRSqYRSqdQof/nyJceTIiKir0bfvv3RsmXrdJfru5XUtWtXsWHDGiQny2Fmlg/jxk2Gg4NM7fnt7IohLi4OU6eOx717QVAoFPj77/PiOi9ePMeMGZMRHx+P5s1bok+flLGNnjx5jDVrlmPRot/1egx5HWcvJiIiIsqY1kmp+vXrw8vLC3PmzBHLYmNjsWLFCjRs2FCnwRERERlCVNR7jB49XHyckJCA8PDn8PY+iQL/b8mTVkujefNmwsfnKHx8zsHKygofPnzAlCnjEBX1Hk5Ozhg7diIA4N27d/9j787jas7+P4C/bt1KyVqk8M2usbfcFmMby3eGEcWMsQyzJEKWfO2Dym7sy9BkGMswzBhEjPnahsmolCyD8B3ZUpFsFXWr+/ujX3e6U5lCnXPzej4eHpNz7+jV8Un3877nnDdmzJiM5cvXQKksec+RJ0+eYNasGVi9OhgNGjTEuXMxmDVrOrZs+aHAc5VKJQYN+gSVK1fG6NG6B77v2vUj+vT5EP/+d3d8/PGH+OCDj2BqaoaVK5dgwoSpJc5Furhlj4iIiOjFSvxKeMqUKfDy8kKPHj2QmZmJCRMm4MaNG6hWrRqWLl1aGhmJiIjKVJUqVbFx41/dyLZt24KzZ89oC1KFOX78aIEC06FDP8PBwQmffeaNMWN8cP36/9CgQSOsXr0UPj6jX6ogBQB3795B5cpV0KBBQwBA69b2SEpKwpUrsWja1E7nucbGxnB0VCEh4W6BP0epVCIj4zmysrKg0WigUBhgz56foFK5wsamdolzKWpY4qV2bhn/f0c6S0vAwvKlPq8+YPdiIiIiIl0lfjVcq1YthISEYP/+/bhy5QrS09PxwQcfwN3dHRUqVCiNjERERELt3x+C4cOLPh8oJeUBNm/+FqtWBWHfvj3acUNDJZ4/f46cnByo1ZlQKo0QHv47KlWqjBYtWr50njp1/oUnTx7jwoVzaNmyNcLCjiM9PQ2JiXcLFKVe5IMP+mPevACEhOxC//4fIy0tFb/+egRLl5bsfCONBtBUrAjFKF8oSvrFADD44wIQug8Gw4fD4CXnRVOxotRnGbF7MREREVFBL/UWrVKpRO/evV93FiIiIulcuHAOT58+Rdu27Yp8zsKFczBy5BiYmemudnn33R6YO9cfn302CB06dEKNGjWxYMFsLF684pUymZubY86chfj666+Qnp6OFi1aol69BjA0NCzRn2NpaalTgJo+fTJ8fcfhzJko7NmzE0ZGxvDx8UWtWtYv/HM0Gg2eKEygqGTyUl9PqlkV7X+fVKr+Un+GRpObQ1bsXkxERERUUImLUqdOncKhQ4cQHx8PhUKBOnXq4N1334VKpSqNfEREREKFhobgvfd6FLnVbt++PbCyqgVHx4I/B01NTTFnzpfa369cuQSDBn2CO3duY/PmbwEAn3zipXNAeVF+/jkUO3bkbin88MP+eP/9XnBwcAIAZGZmolevd1GvXoMSf315fv31CGrXroPGjZti0KAPsG7dJsTGXsY33wRh+vTAf/z/NRrNS69UyismaTSa1949TxbR0dH4/vvvYWxsrDNeu3ZtJCUlCUpFREREJFaJilIzZ87EDz/8gCpVqqBevXrQaDSIiYnB1q1bMXDgQL7TR0REequwok96ejqOHj2Mb77ZXOT/d+ZMFM6di8Hvv4dpxz75pD8WLFiCJk3+2kp36dIfePjwId5+uz1GjhyKGTNmQaPRYN68QKxeHfyP+bp374nu3Xtqf5+cnAxLy9yzlDZu/AaOjk6oU6duib9uAHj69Cl+/HE7li5dBSD3YHeFwgAKhQLPnqW/1J9Juti9mIiIiKigYhelDh06hF27dmHevHnw9PSEQpF7akROTg527dqFgIAAtG3bFl26dCm1sERERKXl70UfADh69L9o1KgxbG3rFfn/+fvP0fl9u3ZO2LRpOypVqqQdy8rKwtq1qxAYOA8A8Pz5MygUCigUCqSnv1zRZ/36IJw7F4Ps7Gy0aNESU6bM1D72zTdBsLS0hIfHBwByi2SPHj1EWloaPD17wMHBETNm/NVFd+3alfj882EwManw/8/3wtChg6FUGmHqVL7h9DqwezERERFRQQpNMQ9g8PHxQePGjfGf//yn0McXLVqE69evY+3ata81oAjJyU+lPiyViIjKho/P53B398D77/fSGf970Se/du2c8PPPx3SKUps3b4CFhaX2zzl58jesXZu7KmnUqDFwcyv6vKo3wfnzZ9G1awccPnwCrVq1ER1Hh0IBWFpW+ucn/oPExER4eXlBo9Hg5s2baNGihbZ78datW2FhYfEa0orH11BEREQEFP81VLGLUh06dMDq1avRqlWrQh8/d+4cRo8ejRMnTpQsqYT4goqIiKjsvAlFKSB3xVz+7sXNmzcvd92L+RqKiIiIgOK/hir29r2HDx/CysqqyMdr1aqFR48eFfePIyIiInqjsHsxERERka5iF6XUajWMjIyKfNzQ0BBqtfq1hCIiIiIqT9i9mIiIiKigEnXfW758OUxNTQt97NmzZ68lEBEREVF5wu7FRERERIUrdlFKpVIhLi7uhc9xcnJ65UBERERE5QW7FxMREREVrdhFqS1btpRmjhe6c+cO1qxZg/DwcCQnJ6NmzZro1asXfHx8YGxsrH1ebGwsZs2ahQsXLqB69er4+OOP4e3tLSw3ERERvdl++uknfPbZZ+jTp4/OuIGBAT744APExcVh586dLEoRERHRG8lAdIDiuH79OjQaDWbNmoX9+/dj6tSp2L59O5YtW6Z9TmpqKry8vGBjY4Ndu3Zh0qRJWL16NXbs2CEwOREREb3JLl26hG7duhX5+L///W9cvHixDBMRERERyaNEZ0qJ0qFDB3To0EH7+7p16yIuLg7ff/89Jk+eDADYu3cv1Go15s2bB2NjYzRu3BiXL1/Gt99+i48++khUdCIiInqDsXsxERERUdH0YqVUYZ4+fYoqVapof3/27Fk4OTnpbOdr164d4uLi8PjxYxERiYiI6A3H7sVERERERdOLlVJ/d/PmTXz33XfaVVIAkJycjDp16ug8z9LSUvtY/gIWERERUVlh92IiIiKiwgktSi1evBjr1q174XMOHDiAhg0ban+flJSEoUOH4r333kO/fv1KJZeRkaH24+xsDbKzc2BoaABDQ0W+8RxkZ2ugVBrAwOCv8aysHOTkaGBkZAjFX8NQq3Og0WhgbPzXn507ng2NBgXGMzOzoVDoZvlrXAEjo78WuWk0uX+OgYECSuVf4zk5GmRl5cDQUAFDw7/G+TXxa+LXxK+JXxO/Jpm+przHDAxy/yvb1/Qq2L2YiIiIqGgKjUajKen/FBUVhe3bt+P27dtYuXIlrKyssGfPHtSpU6dEL6xSUlLw8OHDFz6nbt262i15SUlJGDJkCFq3bo0FCxZoX7wCwKRJk5Camoo1a9Zox8LDw/HJJ58gMjKyRCulkpOfouSzQkRERC/j/Pmz6Nq1Aw4fPoFWrdqIjqNDoQAsLSuJjqE3+BqKiIiIgOK/hirxmVK//PILvLy8UKFCBVy6dAmZmZkAcrvfff311yX6s6pXr46GDRu+8NffC1LNmzfH/PnzdQpSANCmTRtERUXpnMvw+++/o379+ty6R0RERG+0zMxM9O7dG02bNsXly5d1HouNjcXAgQPRsmVLdOzY8R9XsRMRERG9LiUuSq1duxaBgYGYM2cOlMq/dv85ODjg0qVLrzVcnqSkJAwePBjW1taYPHkyUlJScP/+fdy/f1/7HHd3dxgZGeGLL77AtWvXcODAAWzevBmfffZZqWQiIiKil5eUlIjz58/i/PmzuHbtCgDg2rUr2rGkpETBCcuXL7/8EjVr1iwwnpqaCi8vL9jY2GDXrl2YNGkSVq9ejR07dghISURERG+aEp8pFRcXV+gWvUqVKuHJkyevJdTfnTx5Ejdv3sTNmzfRoUMHnceuXLmi/fzr16/HrFmz0KdPH1SrVg0jR47ERx99VCqZiIiI6OVt2rQBixcv0BkbMcJb+/GECVMwadK0so5VLh0/fhwnT57EqlWrcOLECZ3H9u7dC7VajXnz5sHY2BiNGzfG5cuX8e233/I1FBEREZW6EhelLC0tcevWrQKd7qKjo1G3bt3XFiy/Pn36oE+fPv/4PDs7O2zbtq1UMhAREdGLLV++CGFhJ5CYmIBvv92Kxo2bFnjO/v17MX/+LEya9AUOHz5RyJ8CHDp0EFFRkfj44w9Rt64tpk3z17759cUXE/H48SO0amWPCROmAAAePnyIGTMmY/nyNTqruCm3A/GMGTPw1VdfoUKFCgUeP3v2LJycnLTHJQBAu3btsG7dOjx+/JhHIBAREVGpKvErt379+mHu3LmYN28eFAoFkpKSEBMTg4ULF2LkyJGlkZGIiIj0QKdOXTBw4BCMHDm00McTEu5i3749aN68JapWrVbooeanT4cjJiYa69dvgZlZRWzc+A2Cg9fgP/+ZjEOHfoaDgxM++8wbY8b44Pr1/6FBg0ZYvXopfHxGsyD1NxqNBlOmTEH//v3RsmVL3Llzp8BzkpOTC7zRaGlpqX2spEUpdjDm18SviV8TvyZ+Tfya+DWVpINxiV+9DRs2DDk5Ofj000/x7NkzfPzxxzA2Nsbnn3+OwYMHl/SPIyIionKiTRuHIh/LycnBggVzMG7cRKxevazI5127dg0tW7aBmVlFAICbWzuMHj0c//nPZBgaKvH8+XPk5ORArc6EUmmE8PDfUalSZbRo0fK1fz2v2+vqXrx48eJ/PIz8wIEDOHnyJNLS0jB8+PBXjV5seS9a88t9QVzwuVlZOUX+GYXJzCz+uEZT1Lim0PGcnMLHc1/kFzbOr4lfE78mfk38mgB+TQC/phd9TcVR4qKUQqHAiBEj4OXlhVu3biE9PR0NGzZExYoVS/pHERER0Rti+/ataNWqNezs3nrh8+zs3sLu3Tvx4EEyqle3wH//+zPS09Pw5MljvPtuD8yd64/PPhuEDh06oUaNmliwYDYWL15RRl/Fy/vll18wadIkuLu7F9q9uCRFqc8//xyenp4vfE7dunURHh6Os2fPomVL3YJd37594e7ujoULF8LS0hLJyck6j+f9Pm/FFBEREVFpKXFRaurUqfjiiy9gbm6ORo0aacfT09Mxe/ZszJ8//7UGJCIiIv12/fr/cPz4UXz11YtX9wCAg4MTBgz4GJMm+cHAwAAdOrwDADA0NISpqSnmzPlS+9yVK5dg0KBPcOfObWze/C0A4JNPvNC4cZPS+UJeQV73Yg8PD+zfv1877uDggLVr15boz6pevTqqV6/+j8+bPn06xo0bp/39vXv34OXlhWXLlqF169YAgDZt2mD58uVQq9UwMjICAPz++++oX78+z5MiIiKiUmfwz0/RtWfPHmRkZBQYf/78OUJCQl5LKCIiIpLfzz+H4tNPB+LTTwdi//69RT7v3LmzSEy8i/79PfHBB+64dOkPfPnlXOzevbPQ5/fp8yHWr9+Cdes2wd7eETVrWqFiRXOd51y69AcePnyIt99uj+XLF2PUqLEYOXIMVqxY/Fq/xtdFRPdiGxsbNGnSRPurXr16AIB//etfqFWrFgDA3d0dRkZG+OKLL3Dt2jUcOHAAmzdvxmeffVYqmYiIiIjyK/ZKqdTUVGg0Gmg0GqSlpcHExET7WHZ2Nk6cOFGsd+2IiIiofOjevSe6d+/5j8/z9PwAnp4faH/v6zsM/foNRIcOnQp9fnJyMiwtLfH8+XOsXx+EgQN1z6zMysrC2rWrEBg4DwDw/PkzKBQKKBQKpKenv/wXVIpEdC8ujkqVKmH9+vWYNWsW+vTpg2rVqmHkyJH46KOPhGUiIiKiN0exi1JOTk7aF3zvvvtugccVCgVGjx79WsMRERGR/vjyy7k4deokUlIeYPz40TAzM8OOHXv+8f/75psgWFpawsMjt3A1fvyo/+8uo8a77/ZA3766BZJt2zbjvffeR/XqFgAALy8fTJgwFgAwatSY1/tFvSYydC+uU6cOrly5UmDczs4O27ZtK5MMRERERPkpNMU8Ej0yMhIajQaffPIJVq1apXPOgJGREWxsbGBlZVVqQctScvLTAp1jiIiI6M2jUACWlpVe+c/RaDQICgpCcHAwnj17BgDa7sX5z33Sd3wNRUREREDxX0MVuyiVJz4+HtbW1jAwKPFxVHqDL6iIiIgIeH1FqTyZmZnlunsxX0MRERERUPzXUCWuLNWuXRsGBgZ49uwZ/vzzT8TGxur8IiIiIiJdU6dORWpqKoyNjdGoUSO0atUKFStWRHp6OqZOnSo6HhEREZEQJV4plZKSgqlTp+LEiROFPn758uXXEkykBw/4Lh8RERHlvstnYfHqK6XeeusthIWFwcLCQmc8JSUF7dq1w6VLl175c8iAr6GIiIgIKP5rqGIfdJ5n7ty5ePLkCX744QcMGTIEq1evRnJyMtauXYspU6a8VFjZvI4Xn0RERERvWvdivoYiIiKikihxUSoiIgJr1qxBy5YtoVAoYGNjg7fffhvm5ub4+uuv0alTp1KISURERKR/2L2YiIiIqGglLkqlp6dr39GrUqUKUlJSUL9+fTRp0qTcLD0nIiIieh02b978xnQvJiIiIiqpEhel6tevj7i4ONSpUwdNmzbFjh07UKdOHWzfvh01atQojYxEREREesnZ2RkAcOTIkXLfvZiIiIiopEp80HlISAiys7PRp08f/PHHHxg6dCgeP34MIyMjLFiwAD169CitrERERER67dmzZ7h79y7UarXOuJ2dnaBEREREROKUuCj1d8+ePcP169dhbW1drg7qJCIiInpd3oTuxUREREQl9cpryE1NTdG8eXNUrFgR69evfx2ZiIiIiMqV/N2LK1SogG+++QYLFiyAra0t1q5dKzoeERERkRAlOlMqJSUF586dg5GREdzc3GBoaAi1Wo1t27YhODgYWVlZ8PLyKq2sRERERHqJ3YuJiIiICip2USoqKgo+Pj5ITU2FQqFAixYtMH/+fIwaNQqGhobw9fWFp6dnaWYlIiIi0kvsXkxERERUULGLUitWrEDHjh0xfPhw7N69G99++y1GjRoFPz8/vPfee6WZkYiIiEivsXsxERERUUHFPujcxcUFW7duRaNGjfD8+XPY29tj1apV6Nq1a2lnJCIiItJr7F5MREREVFCxV0o9fvwY1apVAwBUqFABFSpUQJMmTUot2JsmPT0dZmZmomOUG9nZ2TA0NBQdg4iICADQu3dv7cctWrTAsWPH2L2YpJeVlYUlS5Zg3LhxMDExER2HiIjKoRIddP6///0P9+/f1/4+Li4O6enpOs+xs7N7PcneINnZ2XB1dUV0dDSMjIxEx3mhP/74A//9738BAF27dkWrVq2E5nn69CkWLlyImzdvYujQoahTpw5GjBiBu3fvwtXVFYsWLdIWU0W5ffs2QkJCcOXKFaSlpaFixYpo0qQJPDw8ULduXaHZ9CFfVFQUfvrppwL5PvjgAzg5OYmOh9TUVBw6dKhAvm7duqFSpUqi4xWqX79+WLt2LSwsLERH0av5k+3fP0C/5i8xMRHHjx8HALRr1w61a9cWnEisvO7FGRkZWL9+PRvFkJSUSiV27dqFiRMnio5CRJLTaDSIioqCSqUSHYX0TLG379nZ2UGhUKCwp+eNKxQKXL58+bWHfBO4u7vj22+/haWlpegoOpydnREZGQkAOH78OMaMGYN33nkHBgYGOHr0qPasMVGmTp2KzMxMGBgY4PDhw/Dy8kLHjh2hVquxdOlSNGrUCAEBAcLyHT16FP/5z3/g7OwMOzs7VK5cGU+fPkVsbCwiIyOxZMkSvPPOO8xXhB9//BFffvkl3N3d8dZbb6FSpUrafKGhoZg4cSI++OADYfnOnj2L4cOHo0aNGgXm7/79+/j666/RunVrYfnmz59f6Pj27dvRq1cvmJmZYerUqWWc6i+yz5/s//7JPn8eHh7Ys2cPAODcuXP4/PPP0aBBAxgYGOB///sf1q9fjzZt2gjLV5aK0704IiJCdEyiQgUEBKBNmzbw8PAQHYWIJJaZmYnWrVuzHkAlVuyiVHx8fLH+wDf9nc+XtXXrVoSGhsLb2xvW1tZQKBTax0SuPrO3t0dMTAwAoH///vj444/Rs2dPAMCBAwewceNG/PDDD8LytWvXDr/88gs0Gg2cnJzw66+/olatWgByVwANGTIEx44dE5bvvffew5QpUwpt9X38+HHMmzcPv/zyS9kH+3+y5+vcuTOWL19e6IqU8+fPY+zYsUL/fj09PTFw4EB8+OGHBR778ccfsXXrVu1NuQh2dnZwcHCAra2tzvj+/fvRuXNnmJqaFlm4Kguyz5/s//7p0/x99tln6NChAz777DMAwObNm3H48GFs3rxZWL6y8k/diwcPHgxPT09UqFBBdFSiQvn4+CAsLAyNGzeGtbU1DAwMtI+tXr1aYDIiKmuxsbFFPqZWq9GvXz8WpajEil2UotJVVOFJ9OozBwcHnDlzBgDg5uaGEydOaLcYZmVloW3bttqVBCI4OjoiOjq6wMd58t8UidCmTRtERkbC2Ni4wGOZmZlQqVQ4d+6cgGS5ZM9nb2+P8PDwQs+xeP78Odzc3IT//Z4+fbrQbbdqtRoqlQpnz54t+2D/LywsDHPnzoW7uzuGDRsGpTJ3x7arqytCQkJgZWUlLBsg//zJ/u+fPs1f27ZtcfToUW3hJTMzEx06dEB4eLiwfGVl8ODBqFmzpk73YltbW3YvJr3xosKTr69vGSYhItFetHsKEH/vSvqpRGdKUel5UdVZpOzsbBw9ehQajQaGhobIycnRPpaTk4OsrCyB6YBq1aohNTUV5ubmCAwM1HksJSUFpqamgpLleuuttxAcHIwRI0boHLyenZ2N4OBgNGvWTGA6+fOpVCrMnj0b48eP1zkIOCUlBcuWLRN+ppStrS1CQkIK3UK4d+9e/Otf/xKQ6i/t2rXDrl27sGzZMnh6eiIgIACOjo5CM+Un+/zJ/u+f7POn0Whw5coVaDQaKJVKnX9jDAwMkJGRITBd2bl69Sr8/f3RqFEjjB07Fhs3bsTEiRPZvZj0BgtPRJSnRo0aWLNmDVq2bFngsYyMjDdmWz69XixKSSYpKQkJCQnSfENbWFhgzpw5AABjY2P88ccf2pva8+fPC7/p6devH1JSUmBubq7dVpPnv//9r/CD9ubMmYMRI0Zgy5YtaNSoESpVqoTU1FRcu3YNVatWxZo1a5jvH/KNHz8e7du3R40aNbT57t27BwcHByxZskRovpkzZ2LEiBHYtGkT3nrrLe2ZPpcvX0ZSUhLWrl0rNB+Qe5jytGnTcO7cOcyYMQOtW7dGdna26FgA5J8/2f/9k33+nj17Bg8PD+27qTExMXB2dgYAXLlyBdbW1iLjlRl2L6byIDw8HKGhoUhOTkZQUBAuXLiAtLQ0uLq6io5GRGWoRYsW+OOPPwotSr1oBRXRi3D7niTu3buH8ePH48yZMzAxMUFMTAwOHDiA33//XXtTJJuEhASkp6ejYcOGoqMUS3R0tJBVIllZWTh9+jSuXLmC9PR0mJmZoWnTplCpVNrtVCLJng8Abt26hatXr2q7izVt2lSKzoBA7g1nXvez/PPXrVs3VKlSRXQ8HVlZWQgODsapU6ewcuVK4Z0pAf2av/xk+fdPX+fv2rVrSElJgYuLi+gopc7Ozg6bNm3S/n0MGDAAy5cvL7B9lt2LSVY//vgjVq1aBU9PT3z33XeIjo5GbGwsZs2ahW3btomOR0Rl6P79+zAwMJCigzOVHyxKSWLkyJGoV68exo4di3bt2uH06dN4+PAhPvjgAxw5ckR0vHIh//kmREREZYHdi0nfvfvuu/jqq6/QqFEjqFQqnD59Gmq1Gu3atWPXSCIqUkBAgNAu6KQ/5FgGQThz5gxWrlwJpVKp7bxXrVo1PHr0SGww5HYO+umnn3DlyhXtSpUmTZrggw8+EH6mT0mIqr8+evQIV65cQaNGjQq8qxAaGlpg22FZu337NkJCQgr8/Xp4eEixGumHH37A1atX0alTJ7Rr1w5LlizBr7/+iubNm2PKlCmoWrWq0Hx//vkn/vzzTzg5OaF69eo4fvw4fvvtNzRr1gx9+vQRmg2Q//orSk5ODvbu3Su8Bfnfr7/Fixfj+PHj0lx/8fHxiI+Ph5OTEwwMDLBv3z7cvHkTbdu2hYODg9BsAHDnzh3s2bMHV69eRWpqKqpWrQqVSvVGdZvjG0uk7x49eoRGjRoBgPY1qkKh0OkUTUT0d3v37mVRiorF4J+fois5ORkTJ05Eu3bt0KxZM7z11ls6v+jlVKpUCY8fP9YZS0xMhKWlpaBEuX788UeMGDECpqamGDBgAPz8/DBgwABUrFgRo0aNws6dO4XmKwkRL57OnDmDrl27YsyYMejYsWOBDjYzZ84s80z5HT16FL169cKFCxfQoEEDvP3222jYsCEuXryI3r1749ixY0LzLV26FF9//TUyMjLg7++POXPm4I8//sDQoUNx//59zJ8/X2i+0NBQeHp6YsmSJejZsydCQ0Ph7++PZ8+eYcWKFcJbZct+/b1IVlYWpk6dKjRDYdffxYsXpbn+Dh8+jJ49e8Lb2xteXl749ttvERoaipiYGAwZMgSHDx8Wmu+3336Du7s7IiMj8fDhQ0RERECpVGL37t3o3bs3kpKShOYrK7Vr1y7WLyJZNW3aFL/88ovO2NGjR9G8eXNBiYhIH3BDFhWbpoS8vLw0PXr00GzdulVz6NChAr/o5Sxfvlzz6aefamJjYzVOTk6a69eva4YNG6ZZu3at0FzvvPOO5ty5c4U+du7cOU2nTp3KONHLs7e3L/PPOWDAAM0PP/yg0Wg0mtjYWM3777+v8ff31z7epk2bMs+U37vvvqs5duxYoY/9+uuvmn//+99lG+hvOnTooLlz545Go9Fobt68qbGzs9Pcv39fo9FoNA8ePNC8/fbbIuNpunfvrvn99981Go1Gc+LECU3Lli01sbGxGo1Go7l69armnXfeERlP+uvv8OHDRf46ePCgxs7OTmg+2a8/Dw8PzZkzZzQxMTGapk2ban799VftYz/99JOmX79+AtNpNO+//77Ovy+HDh3S+Pj4aDQajWbVqlWaMWPGCEpGRCXxxx9/aJydnTW+vr6aFi1aaMaPH69p27at5vLly6KjEZHERNx7kX4q8fa96OhobNu2jauiXrNRo0Zh6dKl6N+/P549e4Y+ffqgf//+GDp0qNBcDx8+RNOmTQt9rEmTJlJsL5TZ//73P2279qZNm2Lbtm0YOnQopk+fjtmzZwtOl7sar23btoU+5ubmhsTExDJOpCstLQ02NjYAABsbGxgYGKB69eoAcre3im4pn5SUBDc3NwBAu3btkJ2drf1+ady4sfDvD9mvv1GjRsHa2lraLSCyX3937tyBvb09AECpVOLtt9/WPubu7o6FCxeKigYAuHv3Ljp16qT9/TvvvIMvvvgCAPDpp5/inXfeEZSMiEqiefPmCA0Nxd69e1GjRg3UqlULkyZNKnBYPxER0cso8fY9a2trLsUrBUqlEpMmTUJMTAx+//13nDlzBpMnTxbe/UylUmH27NlISUnRGU9JScHcuXN5ptQ/MDY21ilMVK5cGevXr8e1a9eEb00CgLfeegvBwcHIzs7WGc/OzkZwcDCaNWsmKFmuhg0b4ptvvsH9+/cRHByMGjVqaM9nOXr0qPAzrywtLXH69GkAwKlTp6BUKnH16lUAuQWhvAKGKLJffzY2Nli8eDGOHj1a4NfPP/8sOp7015+BwV8/whs0aFDg50VWVlZZR9JRr149HD9+XPv7X3/9VVvkMzU1RU5OjqhoRFRCNWrUgJeXF2bOnIlhw4axIEVERK9NiSse06ZNw5IlSxAYGIg6deqURqY3nugb2fzmzJmD8ePHo3379qhRowYqVaqE1NRU3Lt3Dw4ODliyZInoiMW2bt26Mv+cbdq0weHDh/Hhhx9qxypVqoT169fDy8sLz58/L/NM+c2ZMwcjRozAli1b0KhRI+3f77Vr11C1alWsWbNGaL6JEydqVxH27dsXc+bMwciRI2FtbY179+5h6dKlQvMNHToUn332GerUqYOKFSvCz88P3t7e6NChA8LCwjBgwACh+WS//lq0aIGLFy/C0dGxwGMKhQLW1tYCUv1F9uuvfv36uHnzJmxtbbF3716dxy5evCj8nKL//Oc/8PX1RYsWLaDRaHDhwgUsW7YMAHD58mW0bt1aaD4iKlpxz0T09fUt5SREpK/y3ogi+icKTQmXj6hUKjx79gzZ2dmoUKECjIyMdB6PjIx8rQHLs7w20f9EhjbRt2/f1unO1rRpU+GrBPIbPHhwoXNpbGwMGxsbdO/eXbvNqizduHEDT548QatWrQo8lpqaisOHDwvvLpaVlYXTp0/jypUrSE9Ph5mZGZo2bQqVSiV8pR6Q24Xt6dOnqFKlCgAgLi4OV69eRfPmzaUojF++fBl37txBu3btYGpqih9//BGxsbFo06YN3N3dhWaT/fpTq9UAUODniExkvv6SkpJQuXJlmJqaFnjs9OnTSE9PR8eOHQUk+8vt27fx22+/QaPRoG3btqhfv77QPERUPKNGjdJ+nJ2djd9++w22trawsbFBQkICbty4gfbt2yMoKEhgSiISxcHBAWfOnCkw7uzszHoAlViJi1K7d+9+4eOenp6vFOhNEhsbq/349OnT2LNnD7y8vFC7dm3Ex8djw4YN8PDwwMcffywwZfG5u7tj3759Qj73okWL8NNPP6FHjx6wtrZGQkICfv75Z/Tu3Rvp6ekIDQ3FhAkTMHDgQCH5ikPk/JUHnL/ybdiwYQgODhYdo0iyX3+cP/GSk5OxcOFCnDp1CikpKQW2lMvwBhRRYWbMmIHmzZujf//+2rEffvgBFy5ckOJ8QiIqe/b29oiJidEZy87OhpubG4tSVGIlXgbBotPrY2dnp/14/Pjx2LRpE2rUqAEAaN26NRwdHfHZZ5/pTVHqzp07wj73H3/8geDgYJ0VIR4eHliyZAk2bdqE7t27IzAwUOqilMj5K0x2djbWrl2rN0vzZZq/fv36Ye3atbCwsBAdBVFRUfjpp590Vjo2adIEH3zwgV6dCRcVFSU6wgvJdP0VhvMn3pQpU5CQkICRI0eiZs2aouMQFdvBgwcRGBioM9a3b18sWrSIRSmiN0zefYFarS5wj3D37t0iG2QRvUixilKpqakwNzfXfvwiec+jkrl//36BLRhmZma4d++eoEQlJ7KD1h9//FHgUO5mzZrhwoULAABXV1ckJSWJiFZssnUgy87OxldffaU3RSkR8zd//vxCx69cuYLly5fDzMxM6IHiP/74I7788ku4u7tjwIABqFSpEp4+fYrY2FiMGjUKEydO1Hbno1cj2/evvnkT5o/di0lfVatWDb/99pvOduCwsDBUrVpVXCgiEiJvUcWvv/6qs8BCoVCgffv2eO+990RFIz1WrKKUSqVCWFgYLCws4OTkVOiLR41GA4VCweXnL6lt27YYO3Ys/Pz8YGNjg/j4eKxcuRJt27YVHU0vNGrUCMHBwfDx8YGBgQFycnKwbt06NGrUCEDu2SuVKlUSnFI+mzdvLvKxv3fko4I2bdoEBwcH2Nra6oxrNBo8ffpUePeztWvXYv369YWeKdW7d2+MHTuWRSmiMsLuxaSv8poWtG3bFjY2Nrh79y5OnTqFL7/8UnQ0IipjeW9W29nZoWvXroLTUHlRrKLUpk2btIe8btq06Y14R7OszZkzB7Nnz8aAAQOQlZUFpVKJ7t27Y/r06aKj6YW5c+dixIgR2LhxI2rUqIHk5GRUqlRJ2z3uzp07GD9+vOCU8pk/fz5at25d6EHTvHn6Z9988w3mzp2Ldu3aYdiwYdqD4Y8dO4apU6cKb5n98OHDIpdRN2nSBI8ePSrbQERvMHYvJn317rvvokmTJvj5559x7949tG7dGlOmTGHjAqI32JUrV9ClSxedusCzZ88we/ZszJs3T2Ay0kfFKko5Ozvj9u3bqFu3LlxcXEo70xupUqVK+PLLL7FgwQI8fPgQ1apVg4GBgehYJSKyiNGoUSP8/PPPOHv2LO7du4eaNWuiTZs22iKBk5OT9OfniJg/W1tbjBs3Dq6urgUey8jI0KuW7SLmr127dti1axeWLVsGT09PBAQEwNHRscxzFEWlUmH27NkYP348qlevrh1PSUnBsmXLpP+eyE/2IinzvRrZ870Ofn5+ePbsGbp168buxaR36tevj5EjR4qOQUSSOHLkCMLDw7F48WJYWVnh0qVL8PPz0+5SISqJYh903q1bN9jY2MDFxQWurq5wcXFBrVq1SjPbG8nAwECKw5FfRq9evYR+fqVSqVc32X8nYv6cnZ1x/fr1QotSBgYGUKlUZZ7pZYm6/kxNTTFt2jScO3cOM2bMQOvWraXZ+jhnzhyMHz8e7du3R40aNVCpUiWkpqbi3r17cHBwwJIlS0RHLDbZv7dF//v3Tzh/4k2bNk10BKJi+/777zFgwAAAL97qP2TIkLKKREQS2bFjBxYtWoTevXujZ8+eCAkJwbhx4zBo0CDR0UgPKTTFfHsyIiICkZGRiIyMxLlz56BWq1G3bl1tgcrFxQWWlpalnbdc6dSpE3799VcAuSsaitoWKcO7p3v27Cl03NjYGNbW1mjZsqV2VZIooaGhiIyMxMOHD3XedV+9erXAVLn0Yf5ktnPnTrRq1QpNmjRBbGwsJk6cCCMjI8yfP1+qLh9ZWVkIDg7GqVOnsHLlSlSrVk10JADA7du3dbrvNW3aFHXr1hUdS+v48eOoV68ebG1tcefOHcydOxdKpRJffPGFFG9+yH79cf6I6HXz9vbGunXrAACDBw8u9DkKheKFBSsiKt9SUlLw6aef4urVq/D09CyyARDRPyl2USq/jIwMnDlzRlukOn/+PLKystCgQQPs37+/NHKWS1FRUdp3r19UeHJ2di6rSEXy8PDA//73P5iamqJGjRq4f/8+nj17hvr16yM+Ph7VqlVDUFAQGjduLCTfihUr8OOPP6JHjx7YsWMHPvroI4SGhqJHjx5SnMsl+/wVh7u7O/bt2yfkc3fp0gU//vgjqlevDi8vLzRt2hRmZmaIiIjAli1bhGQqqWHDhiE4OFh0DCm999572LhxI2rVqoUxY8bAyMgIZmZmuH//PoKCgkTHk/764/zJi92LiYioPDp16hQmTZqEzp07Y8CAAZg2bRoqVqyo3c5HVBIvVZTKk5mZiTNnzuDEiRPYsWMH0tPT2X2vnFq+fDkMDAwwcuRIKJVKZGdnY82aNcjJycHIkSOxaNEiXL58WdgNRufOnbFmzRrY2dnByckJUVFROHfuHL7++mvtYeciyT5/xWFvb4+YmBghn9vBwQFnzpxBRkYG2rZti1OnTsHQ0BBubm5SrCQsjryvQRZZWVmYMWOGFO9q5X3PZmVlwc3NDceOHYOxsTHat2+PiIgI0fGkv/44f/J66623tN2L7ezs2L2YiIjKBVdXV8yaNQv//ve/AQBqtRqLFy9GSEgIwsPDBacjfVOi/UKZmZk4d+4cIiIiEBERgfPnz6NWrVpQqVSYMWOGFCt69ElxlzzLsF9/+/btCAsL024xMzQ0xIgRI9CuXTuMHTsW48aNQ8eOHYXle/ToEezs7ADkni2VlZWF1q1bS3PDI/v8FYfIrptVqlTBjRs3cO3aNTRv3hzGxsbIyMhATk6OsEz6LicnB3v27JGiKFWhQgUkJyfj6tWraNCgAczNzaFWq5GVlSU6GgD5rz/On7zYvZj01YuOlchPltdZRFS29uzZo3NEgJGREaZOnYp27doJTEX6qthFqSFDhuD8+fOoU6cOVCoV+vfvjyVLlqBmzZqlma9cO3To0D8+R6FQSFGUqlChAmJjY9GiRQvtWGxsLExMTADkFllEql27Nm7evAlbW1vUq1cP+/fvR9WqVWFqaio0Vx7Z5092Q4YMgYeHBwBgwYIFAIDo6Gg0bNhQYCr5vajgJMth7ADQu3dvfPDBB8jMzMTo0aMBAH/88Yc0517Jfv1x/uTF7sWkr7766ivREYhIYrVq1cKNGzfw888/4969e/D398f169dRo0YN0dFIDxV7+17z5s1Ro0YNdO3aFc7OzlCpVNIc4kulb8uWLVi1ahV69eqFWrVqITExEfv27YOvry8GDx6MQ4cOISQkRNih4nv37kW1atXQvn17/PbbbxgzZgwyMzMxY8YM9O/fX0im/GSfv+IQvf3sxo0bMDQ01N5ox8XFQa1Wo0mTJgCAxMREKQ51LoqI+WvevDm6dOmCihUrFngsOzsb+/btk2bL0MmTJ6FUKrU37hcuXEBqairc3NwEJ8sl+/XH+ZOXnZ0duxcTEVG5cvToUUyaNAmdOnXC0aNHcebMGZw9exYrV67Ehg0bRMcjPVPsolR6ejqioqIQGRmJiIgIXL58GfXr14dKpYKzszOcnZ1RvXr10s5bbiUkJKBixYqoXLkyMjMzsW3bNiiVSvTv31+armynTp1CaGgo7t27h5o1a6Jnz57S3PD8nVqtRmZmZqE346Lo0/wVRuSZUsUhumj2T0TMn7u7OyZNmoT27dsXeCwjIwOtW7dGbGxsmWZ6kaSkJCQlJcHKykrvDsmU4frj/MmJ3YtJ361duxbt27dHixYtEBERgVGjRkGpVGLVqlVQqVSi4xGRAO7u7ggMDISDgwNUKhVOnz6NzMxMdOzYEadOnRIdj/RMsasdZmZm6NChAzp06AAgt4tMdHQ0IiIi8M0332DChAmoV68eQkNDSy1seebr64u5c+eicuXKWLRoEcLDw6FUKhEXF4cZM2YIyTRu3DgsX74cAPDTTz+hb9++0hZR/t4ZzsjICEZGRujduzdCQkKEZNKn+SuOXr16iY7wQq/Qs6FM5HXaLEtdu3bFgwcPCn3M0NAQnp6eZZyocPfu3cPEiRMREREBY2NjqNVqqFQqLFq0SG+KKyKvP86f3PIKT0DB7sW7d+9m92KS3vbt2zF48GAAwMqVKzFmzBhUrFgRCxcuxM6dOwWnIyIREhMT4eDgAOCvc2eVSuUbcV4kvX4GL/s/mpmZoWrVqqhatSqqVKkCpVKJP//883Vme6PcunULTZs2BQD8/PPPCAoKwoYNG/DLL78IyxQWFqb9eO7cucJyFMedO3cKHU9ISCjjJH/Rp/nbuXMnrl69CiD3rCt3d3f06dMHV65c0T4nMDBQVLxiEXmA8PHjx3Hz5k0AudfiiBEjMHr0aCQmJmqfs27dujLPNXbsWO1ZPn+nVCqlOOQcAKZNmwZra2ucPHkS58+fR1hYGGrXro1p06aJjlZsIq8/zp/+MDExgZubm/bfiMGDB8PMzAzXr18XHY2oSE+fPoW5uTlSU1Nx5coVDBo0CH379sWNGzdERyMiQerVq1eg0cHp06fRoEEDQYlInxV7pVROTg7++OMPbee9M2fO4NmzZ7CysoKLiwtmzpzJQzxfgUKhgFqtxvXr12Fubo7atWtDo9EgLS1NWKZmzZrBy8sLjRo1QmZmZpE3sFOnTi3jZH/Jy5SVlVUg3+3bt1GnTh0RsQDox/zlWbt2LX788UcAwKJFi9C+fXuYmZlhzpw52LJli+B08ps/fz42btwIAPjyyy9hZmYGMzMzBAQEICgoSGy4YhK5fSomJga///679uB/CwsL+Pv7s4NLMXH+5MfuxaTPatSogejoaPz5559wcHCAoaEh0tLSYGDw0u9tE5Ge8/Pzg6+vL/r06YPMzEwsXboUu3btwpIlS0RHIz1U7KKUk5MTnj17BktLS7i4uGDq1KlwcXHBv/71r9LM98ZwdnbG2LFj8ejRI3Tr1g0AcPPmTVhYWAjLtHz5cuzYsUO7CunJkyfCshQlL5NGo9HJp1Ao0KhRI6EFH32YvzwPHz5E9erVkZGRgbNnz2Lt2rUwNDTE5s2bRUfTC8nJyahVqxaysrJw6tQpHDt2DMbGxoWe5SQrkdunbG1tkZCQgHr16mnHEhIS+POlmDh/cmP3YtJ3o0aNwieffAIjIyOsXbsWQO45mXkr/InozdO2bVts3rwZP/zwA1xcXPD48WOsW7cOb731luhopIeKXZSaNGkSXFxcUL9+/dLM88aaO3cuNmzYAKVSiaFDhwLI7VaUt4dfhOrVq2PEiBEAcs8Qk2WrT355mZo1a/aPcxUaGoqePXuWRSwA+jF/eapUqYIbN27g2rVraN68OYyNjZGRkaFX+8JFFlUqVKiA5ORkXL16FQ0aNIC5uTnUajWysrKEZSopkdun/v3vf2Po0KEYOHAgrK2tcffuXezYsQN9+/bFkSNHtM/r0qWLsIz/ROT1x/mTW3R0NGrUqAFXV1d2Lya91KtXL+0bpqampgBym3e0bt1a+5zo6Gg4OjoKyUdEZS/ve37mzJk642fOnNGeNUVUXMXuvkfiDRs2DMHBwUI+d1JSEkxMTFC1alXt2OPHj/H8+XO9OUhX5PYk2efv22+/xYoVKwAACxYswHvvvYfff/8dK1aswI4dOwSn05WSklJop899+/bB3d1dQKLcLY/79+9HZmYmRo8ejQEDBiAmJgaBgYHYs2ePkEwlJfL7o3Pnzv/4HIVCoVNgEUXG64/zJzd2L6Y3QXnuoElEBRX1Pe/s7FzgrCmif8KilB4R+QP/ww8/xOzZs2FnZ6cdu3z5MgICAqQrWhTF3t4eMTExQj63PszfjRs3YGhoiLp16wIA4uLioFar0aRJEwC5XTZq1aolJFtqairmzp2L/fv3Q61Ww8jICO+//z6++OILmJubC8n0dydPnoRSqdSerXfhwgWkpqbqTcdF3lAUTR+uP5lx/nTl714cGRmJ2NhYdi8mvSfyNRYRlb3CvudTUlLQo0cPhIeHC0pF+qrY2/fozXb9+nWdggoA2NnZ6VXHRZHbk/Rh/vKfRwOgwFbdHj16CCtazJw5E48fP8Z3330HGxsb3L17FytXrsSMGTOwbNkyIZn+7u2330ZSUhLOnz8PKysrtGzZUnSkEhH9/kRWVhbOnTuHpKQk9OjRA+np6QByO72Kpg/XH+dPf7B7MZVHb0oHTaI3nUqlgkKhwPPnzws06UhLS0Pfvn0FJSN9xqIUFUuVKlWQnJwMS0tL7VhycrIUNzz6oDzMn8iiRVhYGI4ePapdVWFpaYmlS5dKc0bOvXv3MHHiRERERMDY2BhqtRoqlQqLFi2SYntmcfj4+Aj73H/++SdGjBiB58+f4+nTp+jRowdOnTqF/fv3Y+nSpcJy5ZH9+uP8yY3di4mIqLz46quvoNFoMGzYMKxevVo7bmBgAAsLC54/TS+FRSkqlk6dOmHq1KmYM2cOrKyskJSUBH9//2KdZULlY/5EvgtavXp1PH/+XGerz/Pnz4V2p8xv2rRpsLa2xsmTJ2FhYYEHDx5g8eLFmDZtGtavXy86HrKzs7Fv3z788ccfSEtL03ks7wD+4cOHi4gGAAgMDMSQIUPw8ccfQ6VSAQBcXFwwa9YsYZnyk/364/zJjd2LiYiovMhbHXX8+HGds3ILI/I8ZNIvLErpEZErVcaPH48pU6agY8eOMDExQWZmJrp06YIJEyYIy1RSnD/9NXDgQPj4+MDb21vbXWz9+vUYNGgQYmNjtc/7+xbJshITE4Pff/8dJiYmAAALCwv4+/ujXbt2QvL83fTp03Hq1Cm0b98elSpVEh2ngNjYWGzcuBHAX8VPc3PzAgU0UWS//jh/cmP3YnoTiN4CTkRl658KUgAQFRVV+kGoXGBRSo84OTkJ+9zm5uZYvXo1Hjx4gPj4eNSuXbvAu9wiD8IujgMHDgj73OVh/kSaN28eAGDs2LE64xcuXNB+rFAocPny5TLNlcfW1hYJCQk653IlJCRIsxLiyJEj2L9/P2rUqCE6SqEsLCwQHx+vPWQfyD1oX5bvB9mvP86f3Pr37y86AlGpW7dunegIRESkp1iUEij/O8QvkvfusQw/8C0sLIrcciHyIOxr165h9uzZuHjxovaAX41Go3OjY21tLSRbfrLOX3GIfBe0uN8rovz73//G0KFDMXDgQO1KkB07dqBv3744cuSI9nmiztCpWrWq1F3OBgwYgNGjR2PMmDHIzs5GWFgYVqxYgUGDBomOBkD+64/zR0Sv26hRo4q1bT/vTBmRb5wSEZF+U2i43lYYOzs7KBSKF97s69O7xyLbAffp0wctWrSAh4dHgcPD9WVLiCztlFNSUlC9evUC4/v27YO7u7uARPIrztlgCoVCp0BVlkJCQvDbb7/B19dX57B9ANIUq7Zu3Yrvv/8e8fHxsLa2xsCBA/Hxxx+LjqU3OH9E9DrlP8D4RXx9fUs5CRHpKwcHB6nfcCd5sChFr43If3gcHBwQFRUFAwMDIZ//dRA5f6mpqZg7dy72798PtVoNIyMjvP/++/jiiy+kKFo8ePAAQUFBuHTpknYlXJ7du3cLSqU/8hdm8975/vtKQioar79Xw/kjIiJ688jyhjvJj9v3JHP//n0kJibC2tq6wIoGKpq9vT3+97//oUmTJqKj6KWZM2fi8ePH+O6772BjY4O7d+9i5cqVmDFjBpYtWyY6HsaNG6ctlJmamoqOU6isrCycO3cOSUlJ6NGjh/bm++8r90QQtUKruIoqyDo7OyMyMlJAIl2yX3+cPyIqbTExMdi9ezeSkpJgZWUFT09P2Nvbi45FRBLjtl4qLhalJJGSkoKJEyfi5MmTMDY2hlqtRtu2bbFo0aJCt1KRrubNm2PYsGHo1atXgWLekCFDBKXSH2FhYTh69Kh2VZSlpSWWLl0q7Aykv7t06RLCw8NhZGQkOkqh/vzzT4wYMQLPnz/H06dP0aNHD5w6dQr79+/H0qVLRcdD7dq1AeSujrp//z5q1qwpOJGuwhbsZmdnC0hSONmvP84fEZWm/fv3Y/r06XB3d4ejoyPi4+MxdOhQBAYGomfPnqLjEZEAOTk5he5Qyd+4SYbzkEk/sCgliTlz5qBKlSo4ceIEatasifv372PBggWYNWsWli9fLjpesYjcCRoTE4O6desWWCKqUCj0piglcv6qV6+O58+f62zVe/78eZGHspe11q1b49atW2jYsKHoKIUKDAzEkCFD8PHHH0OlUgEAXFxcMGvWLMHJcqWmpmLWrFk4cOAAlEolzp49i8OHD+PixYsFOqKVpbyzSNRqdYFzSe7evYumTZuKiFWArNcf54+IysLatWsRHBys/fkGAO7u7vD392dRiugNk5SUhLFjx+LChQto0KABpk2bBjc3N+3jsjduIjmxKCWJ8PBwHDlyRLu1oUaNGpg1axa6du0qOFnxibwB37Jlyz8+Jzo6Go6OjmWQ5uWInL+BAwfCx8cH3t7e2u5x69evx6BBg3Q6Z4k6NH7hwoXw8/ODo6NjgUKZDEXH2NhYbNy4EcBfZzaZm5sjLS1NYKq/zJkzB9nZ2QgNDcWHH34IILdQsGjRIqFFqbzr6ddffy1w7lX79u3x3nvviYqmQ9brj/NHRGUhKSkJDg4OOmP29va4d++eoEREJMq8efPQoEEDBAYGIjIyEmPGjNEpUPO4anoZLEpJwsTEBE+ePNE5b+Pp06cwNjYWmOovU6dOLXTc2NgYNjY26Natm/Sd2by9vYVV7mWfv3nz5gFAgQLFhQsXtB+LPBR706ZNOHfuHDIyMlChQgWdTDLc1FpYWCA+Ph5169bVjsXFxWmXL4v222+/4ciRI6hQoYK2aFajRg08ePBAaK681T12dnZSF+Blvf44f0RUFho1aoTt27dj0KBB2rEffviBqx+J3kBRUVHa15RNmzaFo6Mjhg0bhqysLHh4eGhfZxKVBItSkujZsye8vb0xcuRI2NjYID4+Hl9//bU0hR4DAwPs27cPbm5usLa2RkJCAsLDw9G9e3dERkZi1apVWLZsGbp16yY6apFEVu5ln7/8q6FktG3bNuzZs0faF8ADBgzA6NGjMWbMGGRnZyMsLAwrVqzQeQEvkrGxMbKysnTGHj58iCpVqghKpMvIyAg3b96Era0t4uPjMWfOHCiVSnzxxRdSFPZkv/44f0RUmqZNmwZvb29s27YNtWvXRnx8PB48eMDzYojeQGq1WueeqlmzZli/fj0+//xzqNVqgclIn7EoJYmxY8fCxMQEy5Yt0x4Q5+7ujuHDh4uOBiB31daqVavQsWNH7diJEyewc+dOrF+/Hvv378fKlSulLkqJrNyXh/kTqXr16qhTp47oGEUaMmQIDA0NsXTpUuTk5GDevHkYOHAgBgwYIDoaAOCdd95BYGAgZs6cCQDIzMzEokWLpLne5s+fr93+uHDhQpiZmcHMzAwBAQEICgoSGw7yX3+cPyIqTQ0bNsQvv/yCEydOIDExEe7u7ujYsSMqV64sOhoRlbEmTZogMjJS556madOm2LBhAz7//HM8f/5cYDrSVwoNN34Kl5WVhSVLlmDcuHEwMTERHadQjo6OOH36tE6XhezsbKhUKpw5cwbZ2dlwcnIqcNC4TIpqm14WZJ+/Bw8eICgoCJcuXUJ6errOY7t37xaSKb+ffvoJkZGRGDlyZIEzafIfzk6FS09Px9SpU3Ho0CHk5OTA0NAQXbp0wYIFC2BmZiY6HhwdHREdHY2srCy4ubnh2LFjMDY2Rvv27RERESE6nvTXH+ePiEpLdnY27O3tER0dzQ6aRITjx4/j6dOnhTY5uHbtGjZs2ID58+cLSEb6jCulJKBUKrFr1y5MnDhRdJQi2djYICQkBJ6entqxffv2aVvNP3nyROesENIl+/yNGzcORkZGeP/993XONZPFF198AQAICQnRrnjTaDRCz7nKr6iCp7OzMyIjIwUk0mVmZoYVK1YgJSUF8fHxsLa2hqWlpehYWqampkhOTsbVq1fRoEEDmJubQ61WF9hyKIrs1x/nj4hKi6GhIWxtbfH48WOpfm4QkRj5V0j9XePGjVmQopfCopQkunfvjr1798LDw0N0lELNnDkTI0eOxIYNG7RnIiUmJuKrr74CAFy6dAmfffaZ4JQvJnJRoOzzd+nSJYSHh0v7LuiRI0dER3ihwq6t7OxsAUlerHr16qhevbroGAX07t0bH3zwATIzMzF69GgAwB9//KFzcLxIsl9/nD8iKk39+/fH6NGjtR168x+HIKorLxGJEx8fj/j4eDg5OWnPzb158ybefvtt2Nvbi45Heojb9yTh4+ODsLAwNG7cGNbW1jrbvFavXi0w2V+ePHmCY8eO4d69e6hZsyY6deokzUHJxREVFQUnJydhn1/m+fv888/xxRdfSH8QsUajwf3791GzZk3RUQD81f3s119/RadOnXQeu3v3LipWrIgtW7YISIZid0CRYXsmAJw8eRJKpRIuLi4Acjs/pqamws3NTXCyv8h2/eXH+SOi0lJU4YmrHYnePIcPH8bEiRORk5MDBwcHdOjQAeHh4cjKykJERASWL18udUdgkhOLUpJ4UeEp78aXSkatVsPLywubN28WHUV69+/fh5+fHxwdHQuc+SJDy/bU1FTMmjULBw4cgFKpxNmzZ3H48GFcvHgRY8eOFZYr7/s2KCgIPj4+2nGFQgFLS0u89957wgqPxS025d9SKjORZ8LJev2VBOePiIiIXpWnpydmzpwJhUKB/v374+uvv9Zu6du1axd27NiBHTt2CE5J+obb9yTxwQcfFNq6OzExUUCawsXExCAyMhIPHz7U2a40depUgamKptFocPr0adExtGSev02bNuHcuXPIyMjQOdtKoVBIUZSaM2cOsrOzERoaig8//BAA0Lp1ayxatEjoTW1ewdjOzk66d4VKWmwKCAhAQEBA6YR5DUS+fyLr9VcSnD8iellF/XyYNWuWtqsrEb0Z7ty5o92ip1Qq8fbbb2sfc3d3x8KFC0VFIz3GopQkevToUei72L169ZLioOStW7fiyy+/RLt27XDixAl06NABJ0+eRJcuXYTmetEqspycnDJM8mKyzl+ebdu2Yc+ePdJu3/vtt99w5MgRVKhQQbslrUaNGnjw4IHgZLmMjIxw8+ZN2NraIj4+HnPmzIFSqcQXX3xRaLFZRnv37pW6KFWcrYilRfbrrzg4f0T0sor6+RAaGsqiFNEbJv8RMw0aNIBSqVtOkKXJCukXFqUkUdi72BkZGUJvJPLbtGkT1q1bB2dnZ6hUKnz11Vc4fvw4Dh48KDTX8ePH8dFHH6Fq1aoFHlOr1Th27FjZhyqErPOXp3r16qhTp47oGEUyNjYu8EPu4cOH0pzJNX/+fGzcuBEAsHDhQpiZmcHMzAwBAQEICgoSG66YuJO7aLJff7Lj/BHpp7wmBTk5OTh69KjOz4nbt2+jUqVKoqIRkSD169fXvhG7d+9enccuXryo7SxOVBIsSgmWdxhxZmZmge029+/fF3owd37JyclwdnYGkFsh12g06NChAyZNmiQ0V5MmTeDm5lboiqOMjAx8/fXXAlIVJOv85RkxYoS2Q+Dfz5QyNzcXlOov77zzDgIDA7XvyGZmZmLRokXo1q2b4GS57t+/j1q1aiErKwunTp3CsWPHYGxsjPbt24uOVmyyFMBlJPv1JzvOH5F+mjt3LoDc11Nz5szRjhsYGMDS0hLTp08XFY2IBFmxYgUqV65c6GNqtRr/+c9/yjgRlQcsSgn2ySefQKPRICAgQOfsnryDkl1dXQWm+0uNGjWQlJQEKysr1K5dGxEREahevbrwG9k+ffoUucJDqVRKc0i8rPOX54svvgAAhISEaDNpNBppOutMmDABU6dOhYuLC3JycmBvb48uXbpoc4tmamqK5ORkXL16FQ0aNIC5uTnUajWXML9GIldyyX79FQfnj4hK6ujRowCAsWPHYsWKFYLTEJEMrKysinxMpVKVYRIqT1iUEixvddRbb72Ft956S3Caog0YMADnz59Ht27d8Omnn8LLywsAMHz4cKG5Bg0aVORjhoaG0hSlZJ2/PHlL9GVlZmaGFStWICUlBfHx8bC2toalpaXoWFq9e/fGBx98gMzMTIwePRoA8Mcff6Bu3bqCk5Uf+bsbljXZr7/i4PwR0ctiQYqIXkRkh18qHxQaHiQijdOnT+PixYtITU3VGZelsJJfQkIC0tPTpTkYe9iwYQgODi4w7uPjI+WZPrLNXx6NRoP79++jZs2aoqPo0Ie/35MnT0KpVMLFxQUAcOHCBaSmpsLNzU1wsuLp2bMnQkNDhXzu1atXFzpubGwMGxsbtG/fXuj5Q7Jff5w/IipN165dw6xZs3Dp0iWkp6cDkGs1NRGJZW9vj5iYGNExSI9xpZQkFi1ahG3btsHe3h6mpqbacVm2d/39psLa2hqAPDcVUVFRhY7LUrWXff5SU1Mxa9YsHDhwAEqlEmfPnsXhw4dx8eJFKVq2y/73C0CnJS4AtGzZUuf3It9Funv3bqHjxsbG2hUrogpSQO6qsrCwMNSrVw/W1tZISEjAjRs34Orqijt37mgPjBd1xp7s1x/nj4hK0+TJk9GiRQv4+fnBzMxMdBwiIipnWJSSxE8//YSdO3dKt3Imj6w3FZs3bwaQ23407+M8t27dkmaLiKzzl2fOnDnIzs5GaGgoPvzwQwBA69atsWjRIqFFKX35+y0OkYtSO3fuXOCssDxGRkZ49913MX36dGGraWrUqAF/f3/ttQcAO3fuxPnz5/HNN99gw4YNWLBgAXbu3FmmufTl+uP8EVFpunHjBnbu3KnTCp6IKM+6detERyA9x6KUJCpUqCDl+TOy31QcOnQIQG6+vI+BvzrDLFiwQFQ0APLPX57ffvsNR44cQYUKFbQFixo1auDBgwdCc8n+91sSIlc9zpkzB4cPH8aoUaNgY2OD+Ph4rF27Fp06dUKTJk2wdOlSzJ07F19++aWQfAcPHkRgYKDOmKenJxYuXIhZs2bh448/xldffVXmufTl+uP8EVFpsre3x//+9z80adJEdBQikkRCQgIqVqyIypUro2XLlti4cSMMDQ0xYMAAKJUsMVDJ8IqRxKhRo7Bs2TL4+fnB2NhYdBwt2W8qtmzZAgBYuHAhJk+eLDRLYWSfvzzGxsYFOsU9fPhQ6Dk0QMn+fqOjo+Ho6FgWsfROUFAQ9uzZA3NzcwCAhYUFvvzyS3h6euLw4cNYvHgx+vTpIyxftWrVcOrUKZ0tkBEREahatSqA3BbDIl7g6Mv1x/kjotLUvHlzDBs2DL169SrwZlr+ztFE9Obw9fXF3LlzUblyZSxZsgSnTp2CUqnEjRs3MGPGDNHxSM/woHNJqFQqpKWlAYD2xjFPZGSkiEg69OmmIjg4GMOGDRMdQ4fs8zdr1iw8ffoUM2fORJcuXRAWFoaAgABUrlwZU6ZMEZKppGTv/CEyn4uLCw4cOAALCwvtWHJyMt5//31EREQgJycHTk5OwvIdPHgQkydPhpubm/ZMpFOnTmHBggXo3r07jh07hrCwMKlf5Ij8++X8EVFpGjx4cKHjCoWiwCpwInozqFQqREZGQqFQoF27dtixYwfMzMzg7u6OsLAw0fFIz7AoJYkXFZ6cnZ3LMMnLk+WmQpYcJSUyd3p6OqZOnYpDhw4hJycHhoaG6NKlC+bPn4+KFSsKyVRSsnf+EJlv5syZuHTpEoYPHw4rKyskJibim2++gZ2dHWbNmoWIiAjMnz8fe/bsEZIPAOLi4vDzzz/j3r17qFmzJrp374769esLy1NSoq8/zh8RERGVFWdnZ4SFheH69esYN24cDh48CI1GAwcHB/48pxLj9j1J6Evh6UVkqW/KkqOkROY2MzPDihUrkJKSgvj4eFhbW0tz3lVxydKpsig+Pj7CPvf06dOxZs0afPnll9qixfvvv4+RI0cCABo3blzmh1T269cPP/zwAwBg9erV8PX11ebRR2V9/XH+iKgspaam4vjx40hMTIS1tTU6dOhQYGU/Eb05nJ2dMXbsWDx69AjdunUDANy8eVNnVT5RcbEoJYmcnBx888032LVrF5KSkmBlZYU+ffrAy8sLhoaGouMViyw3FaLanr8qkfM3bNgwBAcHo3r16qhevbp23MfHB0FBQcJy6YvVq1cXOm5sbAwbGxu0b98ew4cPL+NUujnGjRuHcePGFfp4/r/zshIXF4esrCwolUps2LABvr6+ZZ5Bn3H+iKisXLp0CUOHDkXlypVRp04dxMfHY86cOfjmm2/QrFkz0fGISIC5c+diw4YNUCqV8PLyApDbqbOo7b5EL8KilCRWrFiBI0eOwNfXF3Xr1sWdO3cQFBSEtLQ0+Pn5iY4nvfxt7tmWtOSioqIKHdfHbZAi/PHHHwgLC0O9evW0Z/rcuHEDrq6uuHPnDgICAhAUFCRFwTQ1NVXn96Le6XZ2doaHhwfq1auHjIyMIosqRRX83nScPyIqK3PnzsXw4cPxySefaMe2bNmCOXPmYNu2bQKTEZEoVapUKXCP2qlTJzFhSO+xKCWJffv2YevWrbC2tgYAtG7dGvb29hg0aBCLUsXg7OwMZ2dnuLq6ws3NDY0aNRIdSS/kHVCalZVV4LDSW7du6dUWPpHbH2vUqAF/f398+OGH2rGdO3fi/Pnz+Oabb7BhwwYsWLAAO3fuFJIvPj4eM2bMQHR0NDIzM3Ueu3z5spBMy5Ytw8GDB3Hnzh38+uuvsLOzE5LjdSnr64/zR0Rl5dq1awVeIwwcOBArV64UlIiIZKKv5/mSPFiUksSzZ89QrVo1nbFq1arh2bNnghKVnMibiu+++w4RERE4deoUVq1aBSMjIzg7O8PNzQ39+vUTlqskRMzfoUOHAOQWpfI+BgADAwNYWlpiwYIFZZ7pZYlcIXfw4EEEBgbqjHl6emLhwoWYNWsWPv74Y3z11VeC0uV2V6xcuTK2b9+Ojz/+GFu3bsWqVauEvqNlbGyMXr16AQCePn2q99vPyvr64/wRUVmxtLTE2bNndToEnz9/Xq/euCKi0sM3luhVsfueJMaNGwcjIyNMnToV1atXR0pKChYuXIhnz57pzTtRUVFRUmxPevLkCTZt2oRNmzYhLS1N2EqQkhI5fwsXLsTkyZNf+Jzo6GidF6SiqdVqeHl5SdGO+t///jf8/f3x9ttva8d+//13+Pv749ChQ0hLS0Pnzp0REREhJJ+LiwuOHj2KihUrwsnJCVFRUXj48CEGDRqEAwcOCMmU3+XLl1G1alXtSlEASEhIwOPHj6VdASTT9cf5I6LSFBISgsDAQPTu3Ru1a9dGfHw89u3bh+nTp8PDw0N0PCISjB106VUZiA5AuWbMmIF79+6hbdu2aNOmDd5++20kJSXB399fdLQiqdVqDBkyRPt7kQWpsLAwLFmyBP369UP37t1x9epV+Pn5ITQ0VFimfyLT/P1TQQoAvL29yyBJ8Wk0Gpw+fVp0DADA+PHjMXLkSPj4+CAwMBA+Pj4YMWIExo8fDwCIjIxEz549heUzMDCAsbExgNwzpB49eoRKlSohISFBWKb8Jk+ejIyMDJ2x58+fF+u6FEWm64/zR0SlqXfv3vj666+RlZWFiIgIZGVlYe3atSxIEREArnamV8fte5KwsLDApk2bkJSUpO2+Z2VlJTrWC8l0UzF06FDY2tpi1KhRcHd3l6YT4IvINH/FIWJR5Yu2JOXk5JRhkhd777330LRpU/z888+4d+8eWrVqhcmTJ6N+/foAgHfeeQfvvPOOsHxvvfUWwsPD0b59ezg6OmL69OmoUKGCNGev3blzB/Xq1dMZq1+/Pu7cuSMm0P/Tl+uP80dEpU2lUkGlUomOQUSSefz4MWxsbHD37l3tmI2NjcBEpI9YlJJEUlISTExMdIpRjx8/xvPnz4UWp/TlpmLNmjWIiIjA+vXrsXjxYqhUKri6usLV1RV169YVlktf5q84RBT6jh8/jo8++ghVq1Yt8JharcaxY8fKPFOefv364YcffgCQ2+HM19cXI0eOFJbnRebOnau93r744gssXboUqampWLhwoeBkuSwsLHD79m2d79Vbt26hSpUqAlPJff3lx/kjotIUHBwMV1dXtGrVSjt27tw5nD59GkOHDhWYjIhEiYyMxJQpU3RW3ed1Q9eXo1NIHixKScLX1xezZ8/WefF+9+5dBAQEYMeOHcJy6ctNRefOndG5c2cAQEpKCrZu3YqFCxcKP1NKX+ZPVk2aNIGbmxu6dOlS4LGMjAx8/fXXAlLliouLQ1ZWFpRKJTZs2CD1QdN3797VngdWvXp1zJkzBwCk6ZTSs2dP+Pn5YerUqbC1tcXNmzexcOFCuLu7C80l8/WXH+ePiErTli1bMHDgQJ2xhg0bYvTo0SxKEb2h8rpO9+nTB2ZmZqLjkJ5jUUoScXFxBQ6ktbOzw59//ikoUS59uamIi4tDREQEIiIiEBkZiczMTKhUKri4uAjNpS/zJ6s+ffoUuW1QqVQKLQQ5OzvDw8MD9erVQ0ZGRpFZVq9eXcbJCvL29i60AOXj44PIyEgBiXSNHDkS6enpGDp0KJ4/f44KFSrgww8/FF7ok/n6y4/zR0Sl6fnz5zA1NdUZMzU1RVpamqBERCRaUlISfHx89OLIFJIfi1KSqFy5MpKTk3Xa6yYnJwuvPOvLTUXfvn2hUqng7OwMLy8vNGvWDAYG4s/x15f5Kw4RZ0oNGjSoyMcMDQ2Fzt+yZctw8OBB3LlzB7/++qu0Xc6Awv/uUlJSpPgeAaDtPDp16lSkpKSgevXqBZ4jovujzNdffpw/IipN9evXx7Fjx9C1a1ft2LFjxwqcZUdEb45OnTohOjpais7rpP8UGhF3mlTArFmzcPv2bcyZMwdWVlbaznu1atVCQECA6HjSy87OhqGhoegY5VpUVJSwHzzDhg1DcHBwgXEfHx8EBQUJSKRr4cKFUnY6U6lUUCgUePr0KSpVqqTzWFpaGvr27YtZs2YJSlcyDg4OwrYbyn79FQfnj4he1smTJzFq1Ci8//77sLW1xa1bt7B//36sXLkS7du3Fx2PiMrI/PnztR+np6fj559/RseOHXUWVQDA1KlTyzoa6Tk53iYnjB8/HiYmJujYsSNat26NTp06QalUYsKECaKjAci9qSiMj49PGScpnKGhIWJiYjBz5kwMHz4cM2fORExMjOhYWrLPX2HUajWGDBmi/b3Id0KioqIKHZflTKRevXrpHPQIAAkJCYiNjRWUKNdXX32FVatWwdjYGKtXr9b+WrNmDUJDQ/WmIAWIWamXR/brrzg4f0T0st5++21s27YNRkZGiIqKglKpxNatW1mQInrDPHnyRPsrKysL3bp1g7Gxsc74kydPRMckPcTte5IwNzfH6tWr8eDBA8THx6N27dqwsLDQeU5iYiJq1aolJJ/sNxX79+/H9OnT4e7uDkdHR8THx2Po0KEIDAxEz549RceTfv4Ko9FocPr0aaEZNm/eDADIysrSfpzn1q1bBd6ZEWXy5MlYuXKlztjz588xefJkhISECEqVe+4VkHvgfmGH7edX1GoWWYg4s0Bfrr/i4PwR0ato1qzZC1fuBwQEcGU/UTmXf6UU0evEopRkLCwsChSj8vTo0aPMixj6clOxdu1aBAcHQ6VSacfc3d3h7+8vtCgl+/y96EyXnJycMkxSuEOHDgHInb+8jwHAwMAAlpaWWLBggahoOu7cuVPgbI369evjzp07YgL9zT8VpICiC6dvMn25/mTF+SN6c+zdu5dFKaI3FIvS9KpYlNIjIrZf6MtNRVJSEhwcHHTG7O3tce/ePUGJcsk+f8ePH8dHH31UaNFCrVbj2LFjZR8qny1btgCQ98ymPBYWFrh9+zbq1q2rHbt16xaqVKkiMBW9Kn25/mTF+SN6c/CIWqI3F4vS9KpYlNIjIrZf6MtNRaNGjbB9+3adbk8//PADGjZsKDCV/PPXpEkTuLm5oUuXLgUey8jIwNdffy0gVUH55y44OLjIM7pE6dmzJ/z8/DB16lTY2tri5s2bWLhwIdzd3UVHKzdE3vDIfv0VB+ePiEoT28ITvblYlKZXxYPOqVj+flMhm2nTpmHVqlV4//33MWzYMLz//vtYsWIFvvjiC9HRAMg7f3369CnyB4lSqZSyZbuM3bpGjhwJR0dHDB06FO3bt8fQoUPRpk0bKedPX61bt050BAByXn/FwfkjIiKi0tCrVy/REUjPKTQsbeoNkS29ZcyRX3p6OtRqNU6cOKE9EL5jx46oXLmy6GgFyDh/+sTe3l6qzop/l5KSgurVqxcYj46OhqOjo4BExSPbvKrVanh5eRU4i0002eapKJw/IipLfG1D9GZLTk6GhYUFV03SS+FKKT0iS/1Qlhx5srOz4erqCjMzM7i7u8Pb2xvu7u5SFqQA+eYPQJHbaXx8fMo4yT9zcnISHeGFCitIAYC3t3cZJykZ2eZVhu6PhZFtnorC+SOi0qZWq7Uf29jYCExCRKK5u7vj/v37omOQnuKZUpKIi4tD/fr1C4z//vvvaNu2LQBg1qxZZR2rULLdVBgaGsLW1haPHz8W3s2uOGSbP6DozmuyvOup0Wi077zIsg2ppEQWI7/66iuMHDlS592rZ8+eYfbs2Zg3bx4AMfMqe/fHPLJef5w/IioLixcvxoQJE3TG1Go1Ro8erd2SGxoaKiIaEZUxT0/PQsefPHkCLy8vKJVK7N69u4xTkb5jUUoSw4YNw7Zt21CjRg3t2KlTp/Cf//wHp06dAgChhybLflPRv39/jB49Gt7e3rC2tta5+bazsxOYLJes85e3tScrK6vANp9bt25JU+RzdnaGs7MzXF1d4ebmhkaNGomOVGIilzMfOXIE4eHhWLx4MaysrHDp0iX4+fkJn0fZuz/mkfX64/wRUVn4/fffsXnzZgwZMgRA7muGMWPGcJsO0RsoPj4ezZs3R+/evbVvuGo0GsyZMwd9+/Zl52l6KTxTShLff/89vv/+e2zbtg3m5uaIjIzE2LFjsXTpUri5uYmOB5VKJfVNRVGFJ4VCgcuXL5dxmoJknb/BgwcDKHjekYGBASwtLfHJJ5+gVatWouJpXblyBREREQgPD0dUVBSMjIzg7OwMNzc39OvXT3S8YhF53oZarcaiRYuwd+9e9OzZEyEhIRg3bpxOt0oR+vbti5EjRxbZ/bF169aIjY0VkEyXrNcf54+IykJycjIGDRqEsWPH4r333sOYMWOQmZmJ1atXw9jYWHQ8IipDDx48wKxZs/DkyRMEBgbiX//6FwDA1dUVISEhsLKyEpyQ9BGLUhJZuXIlIiMjMXLkSIwfPx6LFy9Gu3btRMcCwJuKVyX7/C1cuFCnQ6DMnjx5gk2bNmHTpk1IS0uTouhYHKIPgU1JScGnn36Kq1evwtPTE/PnzxeWJc/WrVthZWWFrl27FngsOzsba9eula6DoUzXH+ePiMrKzZs3MWTIEPzrX/+CiYkJ1qxZw4IU0Rvs8OHDWLhwIfr27YuhQ4eiXbt2LErRS2NRSjIzZ85ESEgIVq9ejfbt24uOUygZbyoyMzOhUChgZGSkHVOr1dBoNNK9aJJx/vILDg4u8uBzUcLCwhAREYGIiAjEx8fDwcEBrq6ucHV1RcOGDUXHKxaRXcdOnTqFSZMmoXPnzhgwYACmTZuGihUrarfz0YuVh+tPJM4fkf45cuRIgbELFy5g586dmDZtGkxMTACg0JWaRPRmePr0KRYtWoSYmBjcuXMHBw8e5OtKeiksSgnk4eFRYD9+VlYWEhMTUadOHe2YDIfFyX5TMXjwYPj5+cHBwUE7Fh0djRUrVkjREl32+ctP9IqewtjZ2cHW1hajRo2Cu7u7Xp5jERUVJeyQe1dXV8yaNQv//ve/AeQWbBcvXoyQkBCEh4cLyZTfsGHDEBwcXGDcx8dHe4iuSLJff5w/InrdOnfu/I/PUSgUhRaviOjNEhUVhfDwcHz22WeoWLGi6Dikh1iUEqi4xaaiuhyUJdlvKpydnREeHg4DAwPtWHZ2Ntzc3BAZGSkwWS7Z5y8/kSt6inL06FHt9seHDx9CpVJpi3p169YVHa9QarUaXl5eUhRFExMTUatWrQLjv/32mxQrMosqhDo7O0vx/Sv79cf5IyIiorJ04MABdO3aVbodKaSfWJSiYpH9pqJdu3Y4ePAgzM3NtWNPnz7Fe++9h5MnTwpMlkv2+cvP29tbqg6Bf5eSkoKtW7dKu/0xT2ZmJlq3bi1tPhnkFewKazd+69Yt/P777zhw4ICIaEWS6frj/BFRWcjIyIChoSGUytym3YcOHYJSqcQ777wjOBkRifL+++/j3r17ePfdd+Hh4SFsNwCVD0rRASjXzp070apVKzRp0gSxsbGYNGkSlEol5s+fj6ZNm4qOh86dO2uXcufdVCxcuFCamwo3NzfMmzcPAQEBMDY2RmZmJhYsWAAXFxfR0QDIP38ajUa7ekvGglRcXJx2+2NkZCQyMzOhUqmE//2+6BDpnJycMkzyYpmZmfj2228RGRmJhw8fIv97ESK3Bx86dAhA7rblvI+Bv7o/LliwQFQ0HbJef5w/IioLn332GSZNmoQ2bdpg9erV2L59OwwNDXHx4kXpmikQUdnYv38/Lly4gL1792LMmDEwNTVFr1694OHhAVtbW9HxSM9wpZQkunTpgh9//BHVq1eHl5cXmjZtCjMzM0RERGDLli2i4xV6U+Hk5AQXFxd8+umnouMhOTkZw4cPR1xcHKysrJCUlIT69esjKCgINWrUEB1P+vlTqVRwdnaGq6sr3Nzc0KhRI9GRdDg4OGgzuri4oFmzZjpbNUVp2bIlPvroI1StWrXAY2q1GsHBwVIUHQMDAxEZGYl+/fph+fLlGDduHL7//nv07NlTihsK2bs/ynr95eH8EVFpcnFxwe+//w5DQ0N06dIFQUFBMDc3x4ABA/Drr7+KjkdEgmVnZ+O3337Dxo0bERERIcVrX9IvLEpJIu9MkIyMDLRt2xanTp2CoaGhNGci6cNNhUajwYULFxAfH4/atWujZcuW0pzdJPv8XblyRbu9MCoqCkZGRnB2doabmxv69esnOh6ys7NhaGgoOkYBffv2xciRIwvtPpSRkYHWrVsjNjZWQDJd7du3x/fff486derAyckJUVFR+PPPPxEQECBF0Ts/Gbs/ynr9FYbzR0Svm5OTEyIjI3H79m189tlnOHr0KAA5z6AkorKVmZmJo0ePYs+ePTh58iTs7e2lOE+V9Au370miSpUquHHjBq5du4bmzZvD2NgYGRkZ0mwBOn36tPQ3FQqFAq1atYJarUarVq1Ex9Eh+/w1bdoUTZs2xZAhQ/DkyRNs2rQJmzZtwsGDB6UoShkaGiImJga7d+9GUlISrKys4OnpCXt7e6G5+vTpg6Lq+kqlUopVSADw7NkzbUdPExMTZGRkoGHDhrh48aLgZAUFBQVJV1SR9forDOePiF63li1bYtasWbh//z46duwIAEhISEDlypUFJyMiUaKiorB37178/PPPsLS0RO/eveHv7w9ra2vR0UgPybNU4w03ZMgQeHh4YOLEiRg4cCAAIDo6Gg0bNhScLFfeTcXMmTMxfPhwzJw5U9p3x7y9vUVHKED2+QsLC8OSJUvQr18/dO/eHVevXoWfnx9CQ0NFRwOQu2/9888/BwA4OjpCoVBg6NChwvMNGjQIXbt2LfQxQ0NDaYpStra22hVbTZo0wcaNG7Ft2zZUq1ZNcLKCZFy8K+v1VxjOHxG9brNnz8bTp09RqVIljB49GgBw9uxZuLu7C05GRKL4+vrC2NgY69evx88//wwfHx8WpOilcfueRG7cuAFDQ0NtN7a4uDio1Wo0adJEcLLcm4rp06fD3d0dderUQXx8PEJDQxEYGIiePXuKjqejqPboIsk+f3Z2drC1tcWoUaPg7u4uzbbHPD179oS/vz9UKpV2LCoqCv7+/ti/f7/AZLmGDRuG4ODgAuM+Pj4ICgoSkEjXyZMnUaFCBTg6OuL8+fOYMGEC0tLSEBgYWGRRTRQZuz/Kfv3lx/kjIiKi0paVlaXtyBkdHQ1HR0fBiUifsShFxaJPNxUynnEg+/wdPXpUe6bUw4cPoVKp4OrqCldXV22RVCSVSoXw8HCdLZDZ2dlwdXXF6dOnBSbLVVQh1NnZWYoz4WSXv/ujjGS//jh/RFTa0tPTceXKlQIdXAs7U5GI3iwyLggg/cIzpSQha8v2PElJSXBwcNAZs7e3x7179wQlKppsBSlA/vnr3LkzOnfuDABISUnB1q1bsXDhQqSlpUnRQaNRo0bYvn07Bg0apB374YcfhG9vzTvIMSsrq8Chjrdu3YKlpaWIWIXKzs7G3bt3kZaWpjNuZ2cnKNFfnJ2dpe7+KOv1l4fzR0SlKSIiAmPGjIFGo0FqairMzc2Rnp4OKysrFqWIiOiVsSglifnz5xfZsl0G+nBTERUVhZCQEO1Bur169dJZmSSS7PMXFxeHiIgIREREIDIyEpmZmVCpVHBxcREdDQAwbdo0eHt7Y9u2bahduzbi4+Px4MED4duUDh06BCC3KJX3MQAYGBjA0tISCxYsEBVNx+HDhzF9+nQ8evRIZ1yhUEhRdPzuu+8QERGBU6dOYdWqVdJ1f5T1+svD+SOi0vTll19i+PDh+Pzzz6FSqRAZGYnVq1fDzMxMdDQikgA3XtGr4vY9Scjesv3ChQvw9vaGhYVFgZuKli1bio6Hbdu2YcmSJXB3d4eNjQ0SEhIQGhoKPz8/7cHxIsk+fw4ODlCpVHB2doaLiwuaNWsGAwN5+iCkp6dDrVbjxIkTSExMRK1atdCxY0dpOv8sXLgQkydPFh2jSJ06dYKvry969uyJChUqiI7zQvm7P8qyUk/26y8/zh8RvW6Ojo6IjIyEoaGh9jVqZmYmunXrhuPHj4uOR0REeo5FKUnk/ZAHgLfffhtHjx6FiYmJNHt0Zb+p6Ny5M5YuXYo2bdpox86dO4dx48bh2LFj4oL9P9nnLzs7W+e8F5lkZ2fD3t4e0dHRMDIyEh3nHwUHB2PYsGGiY+hwc3PDyZMnpSo05hcWFqZdqRcfHw8HBwftmWaiVxPqw/XH+SOi0tS+fXscPHgQFStWxLvvvot169ahSpUqeOedd6R4jUpEYsi8S4X0C7fvSSKvZbudnZ22ZXulSpWkaNmedyBtdHS0tO1/09LS0KJFC52xZs2aIT09XVCiv+jD/BkaGiImJga7d+/W/mDx9PSEvb296GgwNDSEra0tHj9+LNUZTUUJCgqSrig1aNAgbNu2DR9//LHoKIUaOnSotN0f9eH64/wRUWlydXXFf//7X3h6euK9997D559/DiMjI7z99tuioxGRIPl3qTg5OSEhIQEjR46UZpcK6ReulJKE7C3b3d3d8e2330p7U7Fs2TIYGBjA19cXhoaGyM7Oxpo1a5CVlQU/Pz/R8aSfv/3792P69Olwd3dHnTp1EB8fj9DQUAQGBkpxrtnWrVsRGhoKb29vWFtb69x0y3BQd34ydn9MSkrC4MGD8ezZswLXoAyNFGTv/ij79cf5I6KyotFosHfvXqSlpcHT0xOmpqaiIxGRALLvUiH9wqIUFYvsNxUeHh64du0azMzMULNmTdy7dw/p6elo0qSJzvNE3YDLPn89e/aEv7+/zpLbqKgo+Pv7Y//+/QKT5SpqjmQ5qDs/b29v6Q5w7t+/P8zMzNC1a9cCNxCenp6CUhUur/ujTGci6dP1x/kjIiKi0ubi4oKTJ09Cqfxr45VarUa7du0QEREhMBnpIxalJCJzy3bZbyqKW2wSdQMu+/ypVCqEh4frnCuVt+3w9OnTApPpB41GI9WWqb+zt7dHZGSktGf6FNb90cnJCS4uLvj0009Fx5Me54+IStPz58+xfft2XLp0qcCxCKtXrxaUiohEkn2XCukXniklCdlbtsfGxoqOUKSsrCxcvXoV48aNg4mJieg4hZJ5/gCgUaNG2L59OwYNGqQd++GHH4QfkpwnMzMTCoVCp6iiVquh0WhgbGwsMFkuZ2dnODs7w9XVFW5ubmjUqJHoSDpat26NW7duSfP3+Xd9+/bVdn/08vKSrvuj7Ncf54+IStOECRNw8+ZNdOjQgdv1iAgAcPz4cVy7dg3fffddgV0qJ06c0D5PhmMiSH5cKSUJ2Vu2y35T4eLiglOnTkl1I5af7PN34cIFeHt7w8LCArVr10Z8fDwePHiAdevWoWXLlqLjYfDgwfDz84ODg4N2LDo6GitWrMDmzZsFJst15coV7Zk+UVFRMDIygrOzM9zc3NCvXz/R8bBo0SIcOHAAvXr1goWFhc5jQ4YMEZTqLzJ3fwTkv/44f0RUmpycnPDrr7/C3NxcdBQikoTsu1RIv7AoJQnZW7bLflMREBCANm3awMPDQ3SUQsk+f+np6VCr1Thx4gQSExNRq1YtdOzYEZUrVxYdDUDuSqTw8HCd74/s7Gy4ubkhMjJSYLKCnjx5gk2bNkl1ps/gwYMLHVcoFFJcfwCk7f4I6Mf1x/kjotLSr18/rFq1ClZWVqKjEJEEsrKysGTJEql3qZB+4fY9Scjesv3KlSs63RUAoE2bNtJsS0tMTMT06dOxadMmWFtb69z8yHDegczzl3d2VHR0NNzd3UXHKZSxsTHS09N13qVNT0+X5oyksLAw7Zk+8fHxcHBwgJ+fH1xdXUVHAwBs2bLlH58THR0NR0fHMkhTUP7uj46OjoiPj8fQoUOl6f4o+/XH+SOi0rRgwQL4+/ujc+fOBVbbdunSRVAqIhJFqVRi165dmDhxougoVE6wKCWJDz/8EIMHD8bXX38tZct22W8qWrRogRYtWoiOUSSZ58/Q0BC2trZ4/PhxgWtPFm5ubpg3bx4CAgJgbGyMzMxMLFiwAC4uLqKjAQCGDh0KW1tbjBo1Cu7u7lIfel4Ub29vnDlzRsjnXrt2LYKDg3W6P7q7u8Pf31+Koors1x/nj4hK02+//YbffvsN58+f1zliQqFQsChF9Ibq3r079u7dK+0uFdIv3L4nCdlbtk+cOBFGRkY6NxWBgYF49uwZli5dKjqe9GSfv61btyI0NBTe3t6wtrbWKarI0P0xOTkZw4cPR1xcHKysrJCUlIT69esjKCgINWrUEB0PR48e1Z4p9fDhQ6hUKri6usLV1RV169YVHa9Y7O3tERMTI+Rzy979Ufbrj/NHRKXJxcUFy5cvh5ubm+goRCQJHx8fhIWFoXHjxlLuUiH9wqKUJGRv2S7jTcW1a9fQuHFjAC/ubseiyj8rao5k6f4IABqNBhcuXEB8fDxq166Nli1bSrkiKSUlBVu3bpXqTKnicHBwELZSasCAAejZs6dO98fvv/8eISEh2L59u5BMfyfz9cf5I6LS1KFDBxw9ehRKJTdYEFGuFxWefH19yzAJlQcsSkni008/xYwZM6Rt2Q7Id1ORf2UHiypvDpFnHxUlLi5Oe6ZUZGQkMjMz4eTkBBcXF3z66aei4xWLyKKU7N0f85Px+uP8EVFp2rZtGxISEjB69GgpOgYTEVH5wqKUJGRv2Z4fbypejYzzl5mZCYVCobNST61WQ6PRSPcCVGTxpCgODg5QqVRwdnaGi4sLmjVrJm0nzaKInFfZuz/mJ+P1x/kjotKkUqmQlpYGhUKBihUr6jzGDppEbw592qVC+oVFKUnoQ8v2PLypeDUyzt/gwYPh5+cHBwcH7Vh0dDRWrFjB668YsrOzdc7z0UeizpTKzs6Gvb09oqOjpd2+nJ9s1x/nj4hK24sKT87OzmWYhIhE0rddKqQ/uDlcErK3bJddUlISli9fjosXLyItLU3nsSNHjghKpT+uXLmCNm3a6Iy1adPmhe+CiCJjHd3Q0BAxMTHYvXs3kpKSYGVlBU9PT9jb24uOVmzr1q0T8nn1oftjfrJdf5w/IiptxSk8DRs2DMHBwWWQhohEyf/mpYz3CKS/WJTSIyJbtucn403FhAkTYGpqCm9v7wLdC2Uj4/wZGxsjPT0d5ubm2rH09HQpV16I6hD3Ivv378f06dPh7u4OR0dHxMfHY+jQoQgMDETPnj1FxyuUWq2Gl5eXdiWck5OTsCz9+/fH6NGjpe3+mJ+M1x/nj4hEi4qKEh2BiIj0FLfv6RGRLdtl5+DggPDwcOnOP9IXEydOhJGREQICAmBsbIzMzEwEBgbi2bNnWLp0qeh4AHJf8IaEhGhXIvXq1QsqlUp0LABAz5494e/vr5MnKioK/v7+2L9/v8BkRcvMzETr1q2lWGKtD0vAZb7+OH9EJBq35hK9WbhLhV4nrpTSI6I7tcl8U9G4cWMkJyfDxsZGdJQiyTx/kydPxvDhw+Hq6gorKyskJSWhfv36CAoKEh0NQG7nnyVLlsDd3R1OTk5ISEjAyJEj4efnh4EDB4qOh6SkJJ3zuIDcIvK9e/cEJcr1opa8OTk5ZZjkxWRfAi779cf5IyIiorKkT7tUSH5cKaVHRL4Llf+mwsbGBgkJCQgNDRV6U5G/Ch8XF4d9+/Zh0KBBBboXdunSpayjFSDj/P2dRqPBhQsXEB8fj9q1a6Nly5bCC6F5OnfujKVLl+qce3Xu3DmMGzcOx44dExfs/w0YMAA9e/bEoEGDtGPff/89QkJCsH37dmG5WrZsiY8++ghVq1Yt8JharUZwcLAUK2lk7/4o+/XH+SMi0bhSiujNwl0q9DpxpRQVyzfffIP169fr3FR4eHhg3Lhxwooqc+fOLTD295U9CoVCiqKUjPP3dwqFAq1atYJarUarVq1Ex9GRlpaGFi1a6Iw1a9YM6enpghLpmjZtGry9vbFt2zbUrl0b8fHxePDggbDDw/M0adIEbm5uhX4PZGRk4OuvvxaQqiAvL68C3R/Pnz8vTfdH2a8/zh8Ricb3uIneLPqwS4X0B4tSekTkD3wZbyqOHj2q/TgxMREmJiaoVq2aduzRo0fIyMgQEa0AGeevKLIcqJ9f//798dVXX8HX1xeGhobIzs5GUFAQ+vfvLzoaAKBhw4b45ZdfcOLECSQmJsLd3R0dO3ZE5cqVhebq06dPkf9uKJXKF27vK0uyd3+U/frj/BGRaCKbZRBR2ci/S6Vbt24YMWKEtLtUSL9w+54eiYqKEvZDf9myZTAwMNC5qVizZg2ysrLg5+cnJFN+H374IWbPnq1z4O/ly5cREBCAHTt2CEyWS/b5y0/GJfgeHh64du0azMzMULNmTdy7dw/p6elo0qSJzvN2795d5tmys7Nhb2+P6OhoKbsV6oN27drh4MGDOt0fnz59ivfeew8nT54UmCyXzNcfwPkjotKVk5MDAwODAuOJiYmoVauWgEREJELnzp3/8TkKhYIHnVOJcaWUxGRq2X78+HFcu3YN3333XYGbihMnTmifJ+qm4vr16wU6UNnZ2eHPP/8UkufvZJ+//GSsU3/yySeiIxTJ0NAQtra2ePz4MSwtLUXHKdSwYcMQHBxcYNzHx0eKw+zd3Nwwb948ne6PCxYsgIuLi+hoAOS+/gDOHxGVjqSkJIwdou5/1gAAG51JREFUOxYXLlxAgwYNMG3aNLi5uWkf79Gjh3RvYhFR6dGnXSqkX1iUkphGo8Hp06dFxwAg/01FlSpVkJycrFMUSE5OhpmZmcBUf5F9/vKLiYkRHUFHVlYWrl69inHjxsHExER0nEL1798fo0ePhre3N6ytrXUOiP97sVSEqKioQsdluZmQufujPlx/nD8iKg3z5s1DgwYNEBgYiMjISIwZMwb+/v7o2bMnADnfxCKisjF69GjMnj1bpyiVkJAgzS4V0i8sSgmmDy3b9eGmolOnTpg6dSrmzJmjvSnz9/cv1jLT0qYP8wfkFi5CQkKQlJQEKysr9OrVCyqVSnQsKJVK7Nq1CxMnThQdpUizZ88GAIwcOVJnXKFQCO1ul7fKMisrq8CB17du3ZJmZZelpSV27twpZfdHfbj+OH9EVBqioqJw5MgRVKhQAU2bNoWjoyOGDRuGrKwseHh4SPFvDBGJIfsuFdIvBTeIU5k6fvw4atWqBTs7uwK/GjduLDoegL9uKmQ+L2f8+PEwMTFBx44d0bp1a3Tq1AlKpRITJkwQHU0v5m/btm0YPnw4DA0N4eTkBKVSiZEjR2Lbtm2iowEAunfvjr1794qOUaTY2NhCf4ksSAHAoUOHcOjQIWRlZWk/PnToEI4cOYKHDx9iwYIFQvPll9f9sWbNmmjVqpVUNzuyX38A54+IXj+1Wq2zGqpZs2ZYv349Fi1ahB9//FFgMiISLW+XSn4y7VIh/cKDzgXr27cvRo4cWWTL9tatW0vRQSkgIABt2rSBh4eH6Cgv9ODBA+1Kgb93ghBJ9vnr3Lkzli5dqtPB69y5cxg3bhyOHTsmLtj/8/HxQVhYGBo3bgxra2udA1dXr14tMFmuzMxMKBQKncJj3ot5Y2NjgclyLVy4EJMnTxYdo1hkPGhf9usvP84fEb0uH3/8Mby9vdGxY0ed8StXruDzzz/Hw4cPcenSJUHpiEikWbNm4fbt2wV2qdSqVQsBAQGi45Ge4fY9wfSlZXtiYiKmT5+OTZs2SX1TYWFhIVUxKo/s85eWloYWLVrojDVr1gzp6emCEulq0aJFgXwy8fLygp+fHxwcHLRj58+fx4oVKwpsmxMhf0EqODgYw4YNE5hG/8h+/cmO80ekn7y9vfH06dMC402bNsXGjRuxYcMGAamISAbjx4/HlClT0LFjR5iYmCAzMxNdunSRYpcK6R+ulKJieVHhRJbCmcxkn79ly5bBwMAAvr6+MDQ0RHZ2NtasWYOsrCz4+fmJjic9Z2dnhIeH6xQbs7Oz4ebmhsjISIHJCpJxJU1+9vb20h22r084f0RERFRWZN2lQvqFRSlJyN6ynco3Dw8PXLt2DWZmZqhZsybu3buH9PR0NGnSROd5u3fvLrNM165d056r9qItrDJ0t2vXrh0OHjwIc3Nz7djTp0/x3nvv4eTJkwKTFcSiRfHo0/UnI84fUfkQHx+P+Ph4ODk5wcDAAPv27cPNmzfx9ttvw97eXnQ8IiIqB7h9TxIytmznTcWr0af5++STT0RHKKBfv37a4klRZ3GJ7m6Xx83NDfPmzUNAQACMjY2RmZmJBQsWwMXFRXS0ApycnERHKJRs3R/16foDOH9E9PodPnwYEydORE5ODhwcHNChQweEh4cjKysLQUFBWL58Obp27So6JhER6TmulBIs77yZxYsXF9iDe+vWLfz+++84cOCAiGg6KyqKKpzwpqJo+jJ/WVlZWLJkCcaNGwcTExOhWfRVcnIyhg8fjri4OO1hj/Xr10dQUBBq1KghOh40Go1U3dj+btu2bViyZAnc3d1hY2ODhIQEhIaGws/PDwMHDhQdT3qcPyIqDZ6enpg5cyYUCgX69++Pr7/+Wnvo+a5du7Bjxw7s2LFDcEoiItJ3LEoJNnjwYABAdHQ0HB0dteMGBgawtLTEJ598glatWomKR28IFxcXnDp1SudMJCoZjUaDCxcuaPfVt2zZUppCkEqlgrOzM1xdXeHm5oZGjRqJjqRD9u6PsuP8EVFpUKlUOH36NIDchgVnz56FUpm7yUKtVqNdu3aIiIgQGZGIiMoBbt8TbMuWLQD0q2U7lT/du3fH3r17i9xmI1pSUhKWL1+OixcvIi0tTeexI0eOCEqlS6FQoFWrVlCr1dIVkr/77jtERETg1KlTWLVqFYyMjODs7Aw3Nzf069dPdDzpuz/Kfv1x/oioNOR/o6pBgwbaglSerKysso5ERETlEFdKSUjGlu28qXg1ss+fj48PwsLC0LhxY1hbW+u8EH1R58CyMnjwYJiamsLd3R2mpqY6j8l2noXs3e2ePHmCTZs2YdOmTUhLSxO+fRSQv/uj7Ncf54+ISkP//v2xcOFC2NraFnjs7NmzmDlzJvbu3SsgGRERlScsSklIxpta3lS8Gtnn70WFJ19f3zJMUjgHBweEh4fD2NhYdJR/JOP3b1hYGCIiIhAREYH4+Hg4ODjA1dUVrq6uaNiwoeh4UnZ/zE/264/zR0SlISkpCZUrVy7wugUATp8+jfT0dO0ZU0RERC+L2/ckJGOd8OLFi7ypeAWyz58MhacXady4MZKTk2FjYyM6yj+S8ft36NChsLW1xahRo+Du7i7NWVd5ZOz+mJ/s1x/nj4hKg5WVVZGPiezuSURE5QuLUhKSsWU7bypejYzzd+3aNTRu3BgAEBsbW+TziuocWNryb2vs1q0bRowYgUGDBsHCwkLneV26dCnraC+U13FRJmvWrEFERATWr1+PxYsXQ6VSaVdK1a1bV2i2rKwsXL16Vbruj/py/XH+iKgsybgamIiI9Bu370lCxpbt+W8q4uLisG/fPt5UlIDs82dvb68toBRVeFIoFMLOHOrcufM/PkehUEhxJhcAREVFISQkBElJSbCyskKvXr2kfCc5JSUFW7dulepMKRm7P+rT9cf5I6Kykv+1AxER0evAopQkZGzZzpuKV8P5e30SExNhYmKCatWqaccePXqEjIyMF24vKCvbtm3DkiVL4O7uDhsbGyQkJCA0NBR+fn4YOHCg6HiIi4vTnikVGRmJzMxMODk5wcXFBZ9++qnoeAgICECbNm2k7f4o+/XH+SOissKiFBERvW4sSkniypUriIiIQHh4OKKioqRr2c6bilfD+Xs1H374IWbPnq2zouvy5csICAjAjh07BCbL1blzZyxduhRt2rTRjp07dw7jxo3DsWPHxAX7fw4ODtrCt4uLC5o1aybVqhrZuz/Kfv1x/oiorERFRUl5zAQREekvnikliaZNm6Jp06YYMmSITsv2gwcPSlGUGj16NGbPnq1TVElISOBNRTHJPn9JSUlYvnw5Ll68iLS0NJ3HZFjJdf369QJbDO3s7PDnn38KSqQrLS0NLVq00Blr1qwZ0tPTBSXSdfr0aRgaGoqOUaQWLVoUmD+ZyH79cf6IqDQlJCSgYsWKqFy5Mlq2bImNGzfC0NAQAwYMgFLJWwkiIno1/EkiicJatvv5+cHV1VV0NAC8qXhVss/fhAkTYGpqCm9v70JbP4tWpUoVJCcnw9LSUjuWnJwMMzMzgan+0r9/f3z11Vfw9fWFoaEhsrOzERQUhP79+4uOBgAwNDRETEwMdu/erT3zytPTE/b29qKjAZC/+6Ps1x/nj4hKk6+vL+bOnYvKlStjyZIlOHXqFJRKJW7cuIEZM2aIjkdERHqORSlJyN6ynTcVr0b2+bt48SLCw8NhbGwsOkqhOnXqhKlTp2LOnDmwsrJCUlIS/P39i3VuV1k4fvw4rl27hu+++w41a9bEvXv3kJ6ejiZNmuDEiRPa5+3evVtIvv3792P69Olwd3eHo6Mj4uPjMXToUAQGBqJnz55CMsne/TE/Ga8/zh8RlZVbt26hadOmAIADBw5gx44dMDMzg7u7O4tSRET0yliUkoTMLdsB3lS8Ktnnr3HjxkhOToaNjY3oKIUaP348pkyZgo4dO8LExASZmZno0qULJkyYIDoaAOCTTz4RHeGF1q5di+DgYJ1ugO7u7vD39xdWlOrXr5/2sNyiDugW2f0xPxmvP84fEZUVhUIBtVqN69evw9zcHLVr14ZGoymw3Z+IiOhl8KBzCcnYsj01NRVTpkzB4cOHdW4qFixYAHNzc9HxpCfj/OU/KyouLg779u3DoEGDYGFhofO8Ll26lHW0Ij148ADx8fGoXbt2gZyiZGVlYcmSJRg3bhxMTExExymUSqVCeHi4zrlS2dnZcHV1xenTpwUm0y8yXn/6hPNHpJ98fX2RnZ2NR48ewcnJCf/5z39w48YNDB06FIcPHxYdj4iI9ByLUpKQvWV7Ht5UvBqZ5q84q7QUCoUUB53LzsXFBadOnZKqo11+AwYMQM+ePTFo0CDt2Pfff4+QkBBs375dYDIiIpLd48ePsWHDBiiVSnh5ecHMzAy//vorbt68Kf1KYSIikh+LUpKQvWU7lW+JiYkwMTHR6Q746NEjZGRkwMrKSmAy/RAQEIA2bdoUuY1KtAsXLsDb2xsWFhaoXbs24uPj8eDBA6xbtw4tW7YUHU/67o+y4/wRERERkb5iUUoS2dnZUrdsp/Ltww8/xOzZs3UORb58+TICAgKwY8cOgcn0g4+PD8LCwtC4cWNYW1vrFJRXr14tMFmu9PR0qNVqnDhxAomJiahVqxY6duyIypUri44GABg8eDBMTU3h7u5eoPtj165dBaXSH5w/IiorDg4OOHPmjOgYRERUjvCgc0nI3rKdyrfr168X6NJlZ2eHP//8U1Ai/dKiRQu0aNFCdIxC5Z0dFR0dDXd3d9FxCiV790fZcf6IqKzwvWwiInrdWJSShIwt2+nNUaVKFSQnJ8PS0lI7lpycDDMzM4Gp9Ievr6/oCEUyNDSEra0tHj9+rPP3KxPZuz/KjvNHRERERPqK2/ck0bNnT/j7++u0bI+KioK/vz/2798vMBm9CWbNmoXbt29jzpw5sLKyQlJSEvz9/VGrVi0EBASIjiela9euoXHjxgCA2NjYIp/39xVoImzduhWhoaHw9vaGtbU1FAqF9jFR+fSx+6NMOH9EJEJUVBScnJxExyAionKERSlJsGU7iZSamoopU6bg8OHDMDExQWZmJrp06YIFCxbA3NxcdDwp2dvbIyYmBkDRhR2FQoHLly+XZaxCyZiP3R9fDeePiMra48ePCzRT4ApNIiJ6VSxKSYIt20kGDx48QHx8PGrXrl1gxQVRaWH3x1fD+SOi0hQZGYkpU6YgISFBO6bRaKR544WIiPQbi1KSkL1lOxHpr8zMTCgUChgZGWnH1Go1NBqNFIdjs/vjq+H8EVFp6t69O3r16oU+ffoUOGuyUqVKglIREVF5waKUJGRv2U5ERUtKSsLy5ctx8eLFAlsbZNg+NXjwYPj5+cHBwUE7Fh0djRUrVmDz5s0Ck+VydHREdHS0zphGo4FKpUJUVJSgVPqD80dEpcnBwQHR0dE65xESERG9Luy+JwF9aNlOREWbMGECTE1N4e3tDVNTU9FxCrhy5QratGmjM9amTZsXHtBeltj98dVw/oioNHXq1AnR0dE84JyIiEoFi1IS0IeW7URUtIsXLyI8PFyKrXCFMTY2Rnp6us6h9enp6Trb+UTq1KkTpk6dWqD7Y3EO8ybOHxG9fvPnz9d+XLFiRfj4+KBjx44FXqdOnTq1rKMREVE5YyA6AOXq378/Ro8ejaNHj+Ly5cuIjY3V/iIiuTVu3BjJycmiYxTJzc0N8+bNQ2ZmJoDcM6YWLFgAFxcXwclyjR8/HiYmJujYsSNat26NTp06QalUYsKECaKj6QXOHxG9bk+ePNH+ysrKQrdu3WBsbKwz/uTJE9ExiYioHOCZUpKQsWU7ERUt/1lRcXFx2LdvHwYNGlSga2GXLl3KOloBycnJGD58OOLi4rQraerXr4+goCDUqFFDdDwtdn98NZw/IiIiItI3LEoREb2E4myNUigUUhx0DuQefH3hwgVt0aJly5Y8tJaIiEokICAAAQEBomMQEVE5wqKUJGRv2U5ERUtMTISJiQmqVaumHXv06BEyMjJgZWUlMFlB0dHRcHR0FB2DiIj0kIODA86cOSM6BhERlSM8U0oSXl5euHDhgs7Y+fPnMXToUEGJiKi4Ro8ejaSkJJ2xhIQEjBkzRlCionl7e4uOQEREeorvZRMR0evGopQkZG/ZTkRFu379eoFz4ezs7PDnn38KSkRERPT69erVS3QEIiIqZ1iUkkRey/b8ZGrZTkRFq1KlSoHue8nJyTAzMxOUqGh8l5uIiF5WYGAgkpOT+bOEiIheGxalJCF7y3YiKlqnTp0wdepU7Ra+pKQkzJgxo1iHoZe1mJgY0RGIiEiPubu74/79+6JjEBFROcGDziWhLy3biaig1NRUTJkyBYcPH4aJiQkyMzPRpUsXLFiwAObm5qLjAQCioqIQEhKCpKQkWFlZoVevXlCpVKJjERGRpDw9PQsdv3r1Kho0aAClUondu3eXcSoiIipvWJSSCFu2E+m3Bw8eaL9/LSwsRMfR2rZtG5YsWQJ3d3fY2NggISEBoaGh8PPzw8CBA0XHIyIiCTk7O6N58+bo3bu3drueRqPBnDlzMGbMGFSpUqXIwhUREVFxsSglIbZsJ6LXqXPnzli6dKlOM4Vz585h3LhxOHbsmLhgREQkrQcPHmDWrFl48uQJAgMD8a9//QsA4OrqipCQEFhZWQlOSERE5QHPlJIQW7YT0euUlpaGFi1a6Iw1a9asQHMFIiKiPBYWFlixYgUGDRoELy8vBAUFISsrS3QsIiIqZ1iUIiIq5/r374+vvvoK2dnZAIDs7GwEBQWhf//+gpMREZHsunbtil27duHu3bvw9PRERkaG6EhERFSOcPuehOzt7dkhi4heGw8PD1y7dg1mZmaoWbMm7t27h/T0dDRp0kTneTywloiIXiQqKgrh4eH47LPPULFiRdFxiIioHGBRioionCtusYkH1hIR0d8dOHAAXbt2hbGxsegoRERUDrEoJRG2bCei1y0rKwtLlizBuHHjYGJiIjoOERHpmffffx/37t3Du+++Cw8PDzg5OYmORERE5QjPlJLEtm3bMHz4cBgaGsLJyQlKpRIjR47Etm3bREcjIj2mVCqxa9cuGBkZiY5CRER6aP/+/diwYQNMTU0xZswYdOnSBStWrMDNmzdFRyMionKAK6UkwZbtRFRaAgIC0KZNG3h4eIiOQkREeiw7Oxu//fYbNm7ciIiICFy+fFl0JCIi0nNK0QEoF1u2E1FpSUxMxPTp07Fp0yZYW1vDwOCvRbKrV68WmIyIiPRFZmYmjh49ij179iA6OppHTBAR0WvBopQk8lq2+/r6wtDQkC3biei1adGiRYGiNxERUXFERUVh7969+Pnnn2FpaYnevXvD398f1tbWoqMREVE5wO17kmDLdiIiIiKSjaurK3r27IlevXqhVatWouMQEVE5w5VSkvjkk09ERyCicuTatWto3LgxACA2NrbI59nZ2ZVVJCIi0kNhYWFQKnNvGaKjo+Ho6Cg4ERERlSdcKSUBtmwnotfN3t4eMTExAIouPCkUCh5SS0RExebg4IAzZ86IjkFEROUIi1KScHFxwalTp3QOICYiIiIikgWLUkRE9LqxAiKJ7t27Y+/evaJjEBEREREViu9lExHR68aVUpLw8fFBWFgYGjduzJbtRPRaJSUlYfny5bh48SLS0tJ0Hjty5IigVERERERE9KbjQeeSYMt2IiotEyZMgKmpKby9vWFqaio6DhER6ZmoqCiEhIQgKSkJVlZW6NWrF1QqlehYRERUDnClFBFROefg4IDw8HAYGxuLjkJERHpm27ZtWLJkCdzd3WFjY4OEhASEhobCz88PAwcOFB2PiIj0HFdKCcSW7URUFho3bozk5GTY2NiIjkJERHrmm2++wfr169GmTRvtmIeHB8aNG8eiFBERvTKulBKILduJqLTkPysqLi4O+/btw6BBg2BhYaHzvC5dupR1NCIi0iMuLi44efIklMq/3stWq9Vo164dIiIiBCYjIqLygEUpIqJyqHPnzv/4HIVCwYPOiYjohZYtWwYDAwP4+vrC0NAQ2dnZWLNmDbKysuDn5yc6HhER6TkWpYiIyrnExESYmJigWrVq2rFHjx4hIyMDVlZWApMREZHsPDw8cO3aNZiZmaFmzZq4d+8e0tPT0aRJE53n7d69W1BCIiLSZzxTShJs2U5EpWX06NGYPXu2TlEqISEBAQEB2LFjh8BkREQku08++UR0BCIiKsdYlJIEW7YTUWm5fv16gXPr7Ozs8OeffwpKRERE+iArKwtXr17FuHHjYGJiIjoOERGVQyxKSeLixYts2U5EpaJKlSpITk6GpaWldiw5ORlmZmYCUxERkeyUSiV27dqFiRMnio5CRETllIHoAJQrr2U7EdHr1qlTJ0ydOhVJSUkAcrcLz5gxo1iHoRMR0Zute/fu2Lt3r+gYRERUTvGgc4HYsp2IykJqaiqmTJmCw4cPw8TEBJmZmejSpQsWLFgAc3Nz0fGIiEhiPj4+CAsLQ+PGjWFtbQ0Dg7/e0169erXAZEREVB6wKCUQW7YTUVl68OAB4uPjUbt27QLFbyIiosK8qPDk6+tbhkmIiKg8YlFKEmzZTkRERERERERvEp4pJYnRo0drz3vJk5CQgDFjxghKRERERERvomvXrmk/jo2NLfIXERHRq+JKKUk4OjoiOjpaZ0yj0UClUiEqKkpQKiIiIiJ609jb2yMmJgYAYGdnV+hzFAoFLl++XJaxiIioHFKKDkC52LKdiIiIiGSQV5ACwBVRRERUqrh9TxJs2U5E/9feHasmEkVhAD42GUYCIVhYpBas8wSBSesTiI+gdSzsLfMuaX2AvIBltApxYAIWWmi1naxk2A0EZtzZ7yvvbf76595zAAAA/ie+710IK9sBALg0eZ7H8/NzLJfL2O/3Z3c2RAPwU0qpC2NlOwAAl2I0GkWapjEYDCJN07O7x8fHmlIB0BRKKQAAoNT9/X28vr7G1dVV3VEAaCAzpQAAgFK9Xi+Koqg7BgAN5aUUAABw8vusqPV6HS8vLzEcDr+MlsiyrOpoADSMUgoAADj5zvbnVqtl0DkAP6aUAgAASm02m0iSJG5vb09n2+02DodDdLvdGpMB0ARmSgEAAKXG43HkeX529vHxEZPJpKZEADSJUgoAACi1Wq2i3++fnfX7/Xh7e6spEQBNopQCAABK3dzcfNm+VxRFtNvtmhIB0CRKKQAAoNTDw0NMp9PTF748z2M2m31rGDoA/I1B5wAAQKndbhdPT0+xWCwiSZI4Ho+RZVnM5/O4vr6uOx4A/zilFAAA8Eefn5/x/v4ed3d30el06o4DQEMopQAAAAConJlSAAAAAFROKQUAAABA5ZRSAAAAAFROKQUAAABA5ZRSAAAAAFROKQUAAABA5ZRSAAAAAFROKQUAAABA5X4Bvc3gA+0ekt4AAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"is upload\")\n", "get_preference_counts(\n", " user_intersting_clips_3p5[(user_intersting_clips_3p5[\"task\"] == \"upload_extend\")],\n", " \"is upload extend\",\n", ")" ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:14.350005Z", "iopub.status.busy": "2025-09-24T12:35:14.349848Z", "iopub.status.idle": "2025-09-24T12:35:14.467607Z", "shell.execute_reply": "2025-09-24T12:35:14.467131Z", "shell.execute_reply.started": "2025-09-24T12:35:14.349992Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "fixed_infill\n", "len pos models: 1127\n", "differing counts: 0\n", "chirp-bass-up-3_win_over_chirp-bass-up-3, win ratio 1.000, (1.000, 1.000), counts 1127, total 1127.\n" ] } ], "source": [ "print(\"fixed_infill\")\n", "upload_extend_slice_df = user_intersting_clips_3p5[\n", " (user_intersting_clips_3p5[\"task\"] == \"fixed_infill\")\n", "].copy()\n", "if upload_extend_slice_df.shape[0] > 0:\n", " get_preference_counts(\n", " upload_extend_slice_df,\n", " title_name=\"fixed_infill\",\n", " )" ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:14.468287Z", "iopub.status.busy": "2025-09-24T12:35:14.468088Z", "iopub.status.idle": "2025-09-24T12:35:16.638371Z", "shell.execute_reply": "2025-09-24T12:35:16.637930Z", "shell.execute_reply.started": "2025-09-24T12:35:14.468273Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "playlist_condition\n", "len pos models: 4875\n", "differing counts: 1709\n", "chirp-auk-t1_win_over_chirp-auk-t1, win ratio 1.000, (1.000, 1.000), counts 107, total 107.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 14, total 14.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 390, total 390.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 167, total 167.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1, win ratio 0.580, (0.496, 0.665), counts 76, total 131.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1, win ratio 0.500, (0.417, 0.583), counts 70, total 140.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1, win ratio 0.521, (0.405, 0.637), counts 37, total 71.\n", "chirp-crow-t1_mask_control_slider_win_over_chirp-crow-t1, win ratio 0.528, (0.493, 0.564), counts 403, total 763.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1, win ratio 0.542, (0.460, 0.624), counts 77, total 142.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1, win ratio 0.500, (0.373, 0.627), counts 30, total 60.\n", "chirp-crow-t1_tag_cfg_05_win_over_chirp-crow-t1, win ratio 0.618, (0.502, 0.733), counts 42, total 68.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1, win ratio 0.554, (0.433, 0.675), counts 36, total 65.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1, win ratio 0.532, (0.422, 0.642), counts 42, total 79.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1, win ratio 0.420, (0.304, 0.537), counts 29, total 69.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1, win ratio 0.525, (0.398, 0.653), counts 31, total 59.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1, win ratio 0.468, (0.344, 0.592), counts 29, total 62.\n", "chirp-crow-t1_win_over_chirp-crow-t1, win ratio 1.000, (1.000, 1.000), counts 2452, total 2452.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_10, win ratio 0.420, (0.335, 0.504), counts 55, total 131.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_30, win ratio 0.500, (0.417, 0.583), counts 70, total 140.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_480, win ratio 0.479, (0.363, 0.595), counts 34, total 71.\n", "chirp-crow-t1_win_over_chirp-crow-t1_mask_control_slider, win ratio 0.472, (0.436, 0.507), counts 360, total 763.\n", "chirp-crow-t1_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 0.458, (0.376, 0.540), counts 65, total 142.\n", "chirp-crow-t1_win_over_chirp-crow-t1_n_tag_3, win ratio 0.500, (0.373, 0.627), counts 30, total 60.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_05, win ratio 0.382, (0.267, 0.498), counts 26, total 68.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_20, win ratio 0.446, (0.325, 0.567), counts 29, total 65.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_100, win ratio 0.468, (0.358, 0.578), counts 37, total 79.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_80, win ratio 0.580, (0.463, 0.696), counts 40, total 69.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_85, win ratio 0.475, (0.347, 0.602), counts 28, total 59.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_95, win ratio 0.532, (0.408, 0.656), counts 33, total 62.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 36, total 36.\n", "tournament players: ['chirp-crow-t1', 'chirp-crow-t1_cfg_steps_10', 'chirp-crow-t1_cfg_steps_30', 'chirp-crow-t1_cfg_steps_480', 'chirp-crow-t1_mask_control_slider', 'chirp-crow-t1_max_tag_len_1024', 'chirp-crow-t1_n_tag_3', 'chirp-crow-t1_tag_cfg_05', 'chirp-crow-t1_tag_cfg_20', 'chirp-crow-t1_temp_s_100', 'chirp-crow-t1_temp_s_80', 'chirp-crow-t1_temp_s_85', 'chirp-crow-t1_temp_s_95']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 687.31it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-crow-t1: 984.3, (963, 1006)\n", "chirp-crow-t1_cfg_steps_10: 1033.7, (983, 1103)\n", "chirp-crow-t1_cfg_steps_30: 986.8, (928, 1040)\n", "chirp-crow-t1_cfg_steps_480: 999.3, (914, 1080)\n", "chirp-crow-t1_mask_control_slider: 1003.8, (974, 1035)\n", "chirp-crow-t1_max_tag_len_1024: 1011.6, (955, 1070)\n", "chirp-crow-t1_n_tag_3: 989.1, (897, 1077)\n", "chirp-crow-t1_tag_cfg_05: 1048.5, (987, 1161)\n", "chirp-crow-t1_tag_cfg_20: 1015.6, (940, 1109)\n", "chirp-crow-t1_temp_s_100: 1004.8, (936, 1085)\n", "chirp-crow-t1_temp_s_80: 948.1, (847, 1011)\n", "chirp-crow-t1_temp_s_85: 1001.4, (914, 1084)\n", "chirp-crow-t1_temp_s_95: 973.1, (878, 1044)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", " chirp-crow-t1 (10 comparisons)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"playlist_condition\")\n", "playlist_condition_slice_df = user_intersting_clips_3p5[\n", " (user_intersting_clips_3p5[\"task\"] == \"playlist_condition\")\n", "].copy()\n", "if upload_extend_slice_df.shape[0] > 0:\n", " get_preference_counts(\n", " playlist_condition_slice_df,\n", " title_name=\"playlist_condition\",\n", " )" ] }, { "cell_type": "code", "execution_count": 66, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:16.639102Z", "iopub.status.busy": "2025-09-24T12:35:16.638855Z", "iopub.status.idle": "2025-09-24T12:35:18.811968Z", "shell.execute_reply": "2025-09-24T12:35:18.811529Z", "shell.execute_reply.started": "2025-09-24T12:35:16.639087Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "overpaint\n", "len pos models: 2412\n", "differing counts: 1103\n", "chirp-auk-t1_win_over_chirp-auk-t1, win ratio 1.000, (1.000, 1.000), counts 5, total 5.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 4, total 4.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 188, total 188.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 65, total 65.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1, win ratio 0.560, (0.466, 0.653), counts 61, total 109.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1, win ratio 0.593, (0.500, 0.685), counts 64, total 108.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1, win ratio 0.462, (0.326, 0.597), counts 24, total 52.\n", "chirp-crow-t1_mask_control_slider_win_over_chirp-crow-t1, win ratio 0.686, (0.638, 0.734), counts 249, total 363.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1, win ratio 0.465, (0.368, 0.563), counts 47, total 101.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 1.000, (1.000, 1.000), counts 1, total 1.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1, win ratio 0.593, (0.462, 0.724), counts 32, total 54.\n", "chirp-crow-t1_tag_cfg_05_win_over_chirp-crow-t1, win ratio 0.623, (0.501, 0.745), counts 38, total 61.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1, win ratio 0.360, (0.227, 0.493), counts 18, total 50.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1, win ratio 0.509, (0.377, 0.641), counts 28, total 55.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1, win ratio 0.578, (0.457, 0.699), counts 37, total 64.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1, win ratio 0.469, (0.330, 0.609), counts 23, total 49.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1, win ratio 0.459, (0.299, 0.620), counts 17, total 37.\n", "chirp-crow-t1_win_over_chirp-crow-t1, win ratio 1.000, (1.000, 1.000), counts 1042, total 1042.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_10, win ratio 0.440, (0.347, 0.534), counts 48, total 109.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_30, win ratio 0.407, (0.315, 0.500), counts 44, total 108.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_480, win ratio 0.538, (0.403, 0.674), counts 28, total 52.\n", "chirp-crow-t1_win_over_chirp-crow-t1_mask_control_slider, win ratio 0.314, (0.266, 0.362), counts 114, total 363.\n", "chirp-crow-t1_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 0.535, (0.437, 0.632), counts 54, total 101.\n", "chirp-crow-t1_win_over_chirp-crow-t1_n_tag_3, win ratio 0.407, (0.276, 0.538), counts 22, total 54.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_05, win ratio 0.377, (0.255, 0.499), counts 23, total 61.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_20, win ratio 0.640, (0.507, 0.773), counts 32, total 50.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_100, win ratio 0.491, (0.359, 0.623), counts 27, total 55.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_80, win ratio 0.422, (0.301, 0.543), counts 27, total 64.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_85, win ratio 0.531, (0.391, 0.670), counts 26, total 49.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_95, win ratio 0.541, (0.380, 0.701), counts 20, total 37.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 4, total 4.\n", "tournament players: ['chirp-crow-t1', 'chirp-crow-t1_cfg_steps_10', 'chirp-crow-t1_cfg_steps_30', 'chirp-crow-t1_cfg_steps_480', 'chirp-crow-t1_mask_control_slider', 'chirp-crow-t1_max_tag_len_1024', 'chirp-crow-t1_n_tag_3', 'chirp-crow-t1_tag_cfg_05', 'chirp-crow-t1_tag_cfg_20', 'chirp-crow-t1_temp_s_100', 'chirp-crow-t1_temp_s_80', 'chirp-crow-t1_temp_s_85', 'chirp-crow-t1_temp_s_95']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 711.09it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-crow-t1: 976.7, (956, 1005)\n", "chirp-crow-t1_cfg_steps_10: 1014.8, (960, 1089)\n", "chirp-crow-t1_cfg_steps_30: 1033.5, (988, 1115)\n", "chirp-crow-t1_cfg_steps_480: 966.4, (856, 1050)\n", "chirp-crow-t1_mask_control_slider: 1104.2, (1075, 1159)\n", "chirp-crow-t1_max_tag_len_1024: 962.1, (888, 1024)\n", "chirp-crow-t1_n_tag_3: 1028.1, (956, 1140)\n", "chirp-crow-t1_tag_cfg_05: 1044.4, (987, 1164)\n", "chirp-crow-t1_tag_cfg_20: 919.3, (773, 981)\n", "chirp-crow-t1_temp_s_100: 988.3, (891, 1079)\n", "chirp-crow-t1_temp_s_80: 1022.3, (957, 1119)\n", "chirp-crow-t1_temp_s_85: 970.6, (859, 1059)\n", "chirp-crow-t1_temp_s_95: 969.5, (844, 1073)\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", " chirp-crow-t1 (12 comparisons)\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"overpaint\")\n", "overpaint_slice_df = user_intersting_clips_3p5[\n", " (user_intersting_clips_3p5[\"task\"] == \"overpainting\")\n", "].copy()\n", "if upload_extend_slice_df.shape[0] > 0:\n", " get_preference_counts(\n", " overpaint_slice_df,\n", " title_name=\"overpaint\",\n", " )" ] }, { "cell_type": "code", "execution_count": 67, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:18.812714Z", "iopub.status.busy": "2025-09-24T12:35:18.812469Z", "iopub.status.idle": "2025-09-24T12:35:21.008220Z", "shell.execute_reply": "2025-09-24T12:35:21.007780Z", "shell.execute_reply.started": "2025-09-24T12:35:18.812700Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "underpainting\n", "len pos models: 1645\n", "differing counts: 747\n", "chirp-auk-engine-b_win_over_chirp-auk-engine-b, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "chirp-auk-t1_win_over_chirp-auk-t1, win ratio 1.000, (1.000, 1.000), counts 7, total 7.\n", "chirp-bluejay-engine-b_win_over_chirp-bluejay-engine-b, win ratio 1.000, (1.000, 1.000), counts 5, total 5.\n", "chirp-bluejay-t2_win_over_chirp-bluejay-t2, win ratio 1.000, (1.000, 1.000), counts 129, total 129.\n", "chirp-crow-engine-b_win_over_chirp-crow-engine-b, win ratio 1.000, (1.000, 1.000), counts 40, total 40.\n", "chirp-crow-t1_cfg_steps_10_win_over_chirp-crow-t1, win ratio 0.400, (0.285, 0.515), counts 28, total 70.\n", "chirp-crow-t1_cfg_steps_30_win_over_chirp-crow-t1, win ratio 0.493, (0.377, 0.609), counts 35, total 71.\n", "chirp-crow-t1_cfg_steps_480_win_over_chirp-crow-t1, win ratio 0.424, (0.256, 0.593), counts 14, total 33.\n", "chirp-crow-t1_mask_control_slider_win_over_chirp-crow-t1, win ratio 0.721, (0.662, 0.780), counts 160, total 222.\n", "chirp-crow-t1_max_tag_len_1024_win_over_chirp-crow-t1, win ratio 0.514, (0.400, 0.627), counts 38, total 74.\n", "chirp-crow-t1_n_tag_3_win_over_chirp-crow-t1, win ratio 0.545, (0.414, 0.677), counts 30, total 55.\n", "chirp-crow-t1_tag_cfg_05_win_over_chirp-crow-t1, win ratio 0.559, (0.392, 0.726), counts 19, total 34.\n", "chirp-crow-t1_tag_cfg_20_win_over_chirp-crow-t1, win ratio 0.231, (0.069, 0.393), counts 6, total 26.\n", "chirp-crow-t1_temp_s_100_win_over_chirp-crow-t1, win ratio 0.574, (0.433, 0.716), counts 27, total 47.\n", "chirp-crow-t1_temp_s_80_win_over_chirp-crow-t1, win ratio 0.553, (0.395, 0.711), counts 21, total 38.\n", "chirp-crow-t1_temp_s_85_win_over_chirp-crow-t1, win ratio 0.641, (0.490, 0.792), counts 25, total 39.\n", "chirp-crow-t1_temp_s_95_win_over_chirp-crow-t1, win ratio 0.500, (0.341, 0.659), counts 19, total 38.\n", "chirp-crow-t1_win_over_chirp-crow-t1, win ratio 1.000, (1.000, 1.000), counts 713, total 713.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_10, win ratio 0.600, (0.485, 0.715), counts 42, total 70.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_30, win ratio 0.507, (0.391, 0.623), counts 36, total 71.\n", "chirp-crow-t1_win_over_chirp-crow-t1_cfg_steps_480, win ratio 0.576, (0.407, 0.744), counts 19, total 33.\n", "chirp-crow-t1_win_over_chirp-crow-t1_mask_control_slider, win ratio 0.279, (0.220, 0.338), counts 62, total 222.\n", "chirp-crow-t1_win_over_chirp-crow-t1_max_tag_len_1024, win ratio 0.486, (0.373, 0.600), counts 36, total 74.\n", "chirp-crow-t1_win_over_chirp-crow-t1_n_tag_3, win ratio 0.455, (0.323, 0.586), counts 25, total 55.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_05, win ratio 0.441, (0.274, 0.608), counts 15, total 34.\n", "chirp-crow-t1_win_over_chirp-crow-t1_tag_cfg_20, win ratio 0.769, (0.607, 0.931), counts 20, total 26.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_100, win ratio 0.426, (0.284, 0.567), counts 20, total 47.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_80, win ratio 0.447, (0.289, 0.605), counts 17, total 38.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_85, win ratio 0.359, (0.208, 0.510), counts 14, total 39.\n", "chirp-crow-t1_win_over_chirp-crow-t1_temp_s_95, win ratio 0.500, (0.341, 0.659), counts 19, total 38.\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, (1.000, 1.000), counts 2, total 2.\n", "tournament players: ['chirp-crow-t1', 'chirp-crow-t1_cfg_steps_10', 'chirp-crow-t1_cfg_steps_30', 'chirp-crow-t1_cfg_steps_480', 'chirp-crow-t1_mask_control_slider', 'chirp-crow-t1_max_tag_len_1024', 'chirp-crow-t1_n_tag_3', 'chirp-crow-t1_tag_cfg_05', 'chirp-crow-t1_tag_cfg_20', 'chirp-crow-t1_temp_s_100', 'chirp-crow-t1_temp_s_80', 'chirp-crow-t1_temp_s_85', 'chirp-crow-t1_temp_s_95']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 680.17it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-crow-t1: 985.3, (965, 1024)\n", "chirp-crow-t1_cfg_steps_10: 937.8, (833, 1006)\n", "chirp-crow-t1_cfg_steps_30: 985.5, (906, 1068)\n", "chirp-crow-t1_cfg_steps_480: 961.8, (821, 1062)\n", "chirp-crow-t1_mask_control_slider: 1132.4, (1105, 1215)\n", "chirp-crow-t1_max_tag_len_1024: 996.0, (921, 1083)\n", "chirp-crow-t1_n_tag_3: 1011.5, (935, 1118)\n", "chirp-crow-t1_tag_cfg_05: 1014.9, (912, 1155)\n", "chirp-crow-t1_tag_cfg_20: 895.5, (577, 914)\n", "chirp-crow-t1_temp_s_100: 1024.1, (949, 1147)\n", "chirp-crow-t1_temp_s_80: 1013.1, (929, 1140)\n", "chirp-crow-t1_temp_s_85: 1051.0, (979, 1207)\n", "chirp-crow-t1_temp_s_95: 991.1, (882, 1105)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Most common models in comparisons:\n", " chirp-crow-t1 (11 comparisons)\n" ] }, { "data": { "image/png": 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tcXZ25tSpU+zduzfaQfPQoUOEhoaSLVs2atasiaura5zLi4iIYODAgep8lStXpmvXruTPn593796xc+dOjh07ph4U9+zZo5eIhIaG8sMPP+Dv70/mzJnp3LkzVapUwdbWlrCwMF6+fImrqytHjx7Ve98ZM2YQFBREnz59ePfuXbROmkCChzjSHWsyZcpE5cqVE/TamJw6dYrRo0ejKAqZMmWid+/eVKtWDTMzM1xdXVmxYgU+Pj7Mnz8fa2vrOIf9O3PmDLdu3cLR0ZFu3brx1Vdf4ePjw4YNG9SrXStWrCBbtmxs3LiRmjVr0r59e/Lly8fbt29ZuXIlN27c4OzZs2zfvp3OnTvH+l5ubm64uLhQqFAhevfujb29PQEBAezcuZN9+/bx77//Mnv2bBo2bMhvv/1G+fLl6datG4ULF8bHx4eNGzdy+vRp7t69y7Jlyxg5cmS097h//z4DBw4kLCwMc3NzunbtSt26dcmYMSP3799n5cqVvHz5kk2bNpExY0Z+/vnnWONN6eN1avsNQWTuo/stADRt2pRWrVpha2vLv//+y7p169i1axePHj2KM5bkPr4vXrxY/Z3VqVOHFi1akCdPHiwtLfHy8uL+/fuJ66OhJJC/v79SsmRJxd7eXundu3e06Q0bNlTs7e2Vv//+Wy2rUqWKYm9vr5w4cUJv3jNnzij29vaKvb29snz58mjLWrhwoTo9JnXq1FGnt27dWvHz84s2z969e9V51q1bl8C1jeTu7q4u45dffol1vgEDBqjz7dmzJ9ZlhYaGxrqMN2/eKN98841ib2+vjBw5MsZ5fvnlF8Xe3l6pU6fOZ2Pv2LGjYm9vr7Rq1Urx8vKKcZ7Tp08rxYsXV+zt7ZVt27Z9dpkx6datW5yfVWw6d+6svu7169d60+bPn6/Y29srTk5Oyu3bt2N8/cuXL5UaNWoo9vb2yo8//hht+ue+Q7q4u3Xr9tlYnz17Fuf08+fPq9tx+/bt0aZ36dJFsbe3V9q3b6+EhYXFuhwfH5/PxhKXo0ePqut84cIFvWlz5sxR7O3tldKlSysfPnyIdRmDBw9Wl3H06NFo0wMDA5V27dqp88S2fb90mynKf7/zmH57Fy9e1Ith6dKl0ebRarVK7969FXt7e6VkyZLRfgc7duxQX//gwYNYYw0KClKCgoKileteu3DhwjjXNT6i7mt0yztw4IBib2+vlC1bNto+rlOnToq9vb0yadIkRVH0t8fOnTujLf+vv/5Sp48aNUrRarXR5tH97uzt7ZXffvtNb9o///yjTvt0fx5VWFhYjPvjuD7LhHj79q0aR6dOnb5oWYqiKKGhoYqzs7Nib2+vlC9fXrl37160eaLua8qVKxfj/jTqd3HYsGFKeHi43vTw8HClQ4cOir29veLo6KiUKVNGmT59erTlBAYGqtuqRYsWMcYc9fjXsWNHJTAwMNo8w4YNU+zt7ZUSJUoolStX/mxMlStXjnHf1LZtW3U5Z8+ejTb9w4cPStOmTRV7e3ulePHiysOHD+OMN6WO16nxN6QoijJr1qw4c5/Q0FB1n6X75+7uHm2+pDi+x3UMrFWrlvpdjktCj1kJvnNR5syZ1Uvirq6uREREqNM+7aGuo6v1/LS6Nq72nQk1Y8aMGNuntGjRgpw5c8b4/knh48ePuLq6MnDgQDXzd3R0jPUyQf78+eM848idOzd9+vQBIoeRUaJcEkmoq1evqmdls2bNivXssWbNmmqbpy+9xJtQUdvc+fr6qo8DAgLYtGkTAMOHD1cbiH8qX758DB48GIDDhw/rXRZOal999VWc06tXr65e1v60dgwia9Yg8vsRV3ubuNohxofuMnvu3LmpUqWK3jTdpaTQ0FC1F+enPDw81O9yo0aNqF+/frR5MmbMyNSpUz8by5dus4QoVapUjEOmaDQaevXqBUTWwH5ao6H7XHQ3gohNhgwZyJAhwxfFmBj16tXD2tqa4OBgDh8+rJa7u7url/rie4lQ95uysbFh/PjxMY4iMmzYMIoUKQLAjh079C4767YVxN0Z1MzMLFmHk/Px8VEf29rafvHyjh49qtY+DRo0KMZmX/ny5WPUqFEABAUFxbmvzJgxI1OmTIl2Fc/U1JQOHToAkfs4GxubGGsHM2bMSKtWrYDIttNxXQXRaDRMnz49xhpjXa1sREQEISEhn43pw4cPPH78WG/6rVu31B7h7du3x9nZOdr7ZM2alSlTpgCRTV42b94ca7yQ8sfr1PQbCg0NZefOnUBkm+CYhrczNzdn+vTpceYKKXF81/3eP5efJfSYlahbZup2OAEBAdy/f18t17XjtLOz0zvg6JLQT79IuvadlpaWlClTJjGhAJGdeooXLx7jNI1GQ8mSJYHIL9mX2r17tzpgtIODA5UqVaJTp06cPHkSc3Nz2rRpw+rVq+Ndne3v74+7uzuPHj3i4cOHPHz4UN2B+Pv7f9FtsnQH8sKFC3/2lpG6z/TOnTuEh4cn+j0TKmoD+4CAAPXxlStX1J1tXB0B4L/Yw8LCkn3w/qi8vb35999/1c/t4cOH6o8/psHxdW0LT548ibe3d7LE9OHDB7W9UvPmzaPtFIsVK6YeVGPr5Xnp0iX1hDKunXHx4sVj/d3FJqHbLCFatGgR63BspUqVUh9/uh/QfS6+vr4cO3bsi2JIDrqOYaD/mekef/XVV/Fq3+zh4aE2B2rSpEmsiaGZmZl6txZfX1+931TU9rG6g6chRN1XJMVdiC5cuABEHi/iuste48aN1dEhdK+JSfXq1WM9GEf9zTRo0CDWY0XU+eI6Djg4OMTaPjrqMuIb06fvFXWElri2TcWKFdU44hrVJSWP1zqp6Td09+5dtZKldevWse6zcufOTY0aNWKNJSWO77rf+8GDB/Xa436pRHVzqlixImvXrgUik0ldbZQusYxa2wn/Zct3794lODiYDBkyEBoayq1bt4DItn6f6/0VF92ZRWx07ayi7qySQ6FChejZs+dnz/RfvXrF2rVrOXnyZLQGwZ/y8fGhQIECiYrnzp07QGRv3fjeqzwsLAxfX98kqUWIj6ifSdTtposdiPEMOzbv379PmsBice3aNTZu3MiFCxf07s71qag1MjqtWrXiypUrPH/+nIYNG9KgQQNq1KiBk5NTkt3G8sCBA2oHg5YtW8Y4T8uWLbl//z6urq68ePFCHfJMJ2q7othqmqNO/1zC+CXbLCHi2g9EPeB+uh+oW7cuWbJk4ePHjwwdOlQdWcDJyYkSJUokuu15UmrVqhV///03ly9f5s2bN+TJk0ftRBXb5/ypqJ/r50ZNiNp299GjR+pd6ypWrEiBAgVwd3dnxowZ7N+/nwYNGuDk5ESZMmW+aD+eEFHbzCXFAVG3bfLnzx9nu0ILCwtKlCjB5cuXefjwYazzxVXTH7XXdFzz6RJciPvYlRTvFXW+TzsP6baNubn5ZzsAlytXjidPnvD8+fMYR70Bwx2vU8tvKOr35nMVbmXKlFErEj6VEsf3Vq1asXTpUlxdXalXrx6NGzemWrVqVKxY8Yva3yYq8XRyckKj0aAoCteuXVMvY+lqMHWX1nVKlixJxowZCQoK4saNG1StWpXbt2+rYzd+6WX2z53x6nrYJcUt0qI2itdqtbx7946zZ8+ybds2Hj9+TI8ePdi6dWusP67Tp08zfPjweO8sg4ODEx1rYmvVkvLM5nOiJhtRkwMvL69ELe9LttfnfDqcVULjaNeundqD1M/Pj127dqmXPgoWLEi9evXo2rVrok804L/L7Loa+Zg0b96cuXPnEhERwZ49e/j+++/1pkdt8pA9e/Y43+9zO58v3WYJEddl8Ki9bD/dD2TPnp1ly5bx448/4uHhwaVLl7h06RIQeTJUrVo12rZtm6w9tD/HycmJfPny8erVK/bv30+lSpV4/vw5Go0m3gfNqJ/r5w48UXu/Rj1ZMDc3Z/ny5Xz//fc8efKE27dvq5dhM2TIgJOTE61ataJp06bJmrBH/V5GvfyfWLp1jM8BOWoNeWziOiZFreGKa76o39moTdoS8l5RlxHfmD79fei2TbZs2T47JI/ue6MoCh8/foyxF3VKHq+jSi2/oajL+Nz+M65e6ClxfB88eDAeHh7s2rULLy8vNm3apDY1KFasGA0bNqRLly4J7i2fqMQzW7ZsFCtWjIcPH6q1nFF7qH9a42lubk6ZMmW4fPkyV69epWrVqnoDyqelgeN1dy7SKV68ODVr1qRu3br07dsXX19fRo4cyY4dO6LteL29vdUBjzNlykSfPn1wdnamYMGCWFlZqWeHFy5cUJP5L2njqdtZFS9enDlz5sT7dbly5Ur0eyaEVqtVx360srLS+/JG3dHu3r073mOQJVXN4acuXLigJlAFChSgd+/eVKxYkbx585IxY0Y1vgULFrB06dJYl/PDDz/QoUMH9u/fz4ULF7h58yZBQUG8ePGCdevW8ddff/Hrr7/G2Ys1Nk+fPlWvIjx48CBeZ8H79u1j2LBhyXLHsKTaZinBycmJo0ePcvjwYU6fPs3Vq1d5+/Yt/v7+HD16lKNHj+Ls7MzixYuT5NJuQmk0Glq0aMHy5cvZu3cvr1+/BiJP8hNzovIln3fRokXZv38/J0+e5MSJE1y9epXnz58THBzMuXPnOHfuHOvWrWPVqlXJduUkV65cZM+eHR8fHx48eEBERESSJLqp/c55IvFS028oKZaREsd3c3NzZsyYQe/evXFxceHixYvcuXOHsLAwHj16xKNHj1i3bh1z5syJsS9AbBI9YriTkxMPHz7E29ubJ0+e8PLlS7RaLZkyZVLbaERVsWJFNfGE/9qDmpubp8jg7smtWrVq9OjRg7Vr13L37l127dpF+/bt9eY5fPgwHz9+BCLH86xevXqMy4rrTDohdDWIgYGBKTr2YHy5urqqnYHKly+vd+CIWqNhY2OTbAllfG3fvh2IvAy0ffv2WM9U4/PZ5cuXj4EDB6rDk9y+fZtDhw6xbds2QkJCmDx5MuXKlYvxdxSXxNyRyN3dnWvXrulddYg6BJBuIOrYxHXWnZTbLCVYWlrSsmVLtfbD3d2d06dPs3HjRv7991/OnTvH77//ztixYw0SX6tWrVi+fDmPHz9W27/pOqDER9TP9XO1hFGnx9Qu0NTUlPr166sHG92Vn02bNqnj606YMIElS5bEO76EqlSpEkeOHCEwMJDLly9TrVq1RC9Lt47xqT3VNef50qGy0grdtvnw4UO0Ie8+pdt+Go0m3gOxp6TU8BuKul28vLwoXLhwvJbxqZQ8vhctWlS90hsSEsK1a9fYv38/e/fuVYd/PHr0qNox7HMS1bkI9C+PX7t2Ta3B/DSB0NHVgt68eZPQ0FC1N1bJkiX1OpikZQMGDFDbKS5ZsiTaIMS63oLZsmWLNekE/faNMYnvWVLURtrJ3fYxMdavX68+/nSw/KhtiT4dpNcQdJ9dlSpV4rw88rnP7lPm5uZUqFCBX3/9lXnz5gGRtdxRe17Gh6IoanslBwcH5s+fH+e/efPmqWNm6i7P60S9A8Xn1ieu6cm1zVJKgQIF6NatGzt37lRPfA4dOmSweAoXLqy2KwsJCcHCwoLGjRvH+/XFihVTH+tqxmMTdXrU18UmZ86ctG3blm3btqkduU6dOpWsTV90nTdAf1+SGLp1fPnyZZwnU2FhYWqH2tR4Mp8cdNsm6rrHRve9KVSoUIq1902I1PAbivq9iev+8RD3vtFQx3dLS0uqV6/OzJkz1VEegoODY22LGpMkSTx1dyCB6JfZdXQDxAcGBrJr1y61x/KXtu9MTbJly6befefNmzfRDui63mQhISGxtl8JCgr6bM2V7gf9aWL7Kd0wNYqisGHDhs/Gn5IOHDigJlc5cuTQO4hAZA9M3SXNDRs2fFGTg7jokq/PbUvdZxfXcE337t3j5s2biY4lao1NQjvaXLp0Sb101KpVK5o1axbnv+bNm6udtv73v/+p7a0hMlHUtbOK67uou9NWbFJim6UEKysrtRNATJ9LfL9DSaFVq1ZYWFhgYWFBgwYNElSrlCtXLrXX8aFDh2LtvBEREaHezjJr1qx6IwJ8jrm5udp0Kjw8XL3Co5OU26p27dpq7+iTJ08mqMZfV1Oqo/vtKYoSZ2/9w4cPq8euL6lhTUuiVpLEtW1cXV3Vk824KlYMzdC/odKlS6s1p3v37o312Obh4cG5c+dijSU1HN+rVq2qPk7IMSvRiWeuXLnU3rCXLl1SM/PYEk8rKys101+9erVanpbad8ZHr1691IRp5cqVem0Vdb0Kg4KCYqw5iYiIYNy4cXq30IqJrnG7l5dXtB6IUTk7O6tnd2vWrIl13EadBw8e6N2bPDmEhoayevVq9UzJ1NSU6dOnRzs7zpIli5rEu7q6MmPGjDgbm3t6erJjx44Ex6Pblu7u7nEmt4UKFQIia1+fP38ebbq3t7e6TrHZu3dvnENZRN3J5M+fP85lxbRsnYYNG8brNbrhRfz8/PTG0MydOze1atUCIg+0MQ0xFBwczPjx4+NcflJss5Rw9uzZOH9zfn5+au1FTJ+L7jv04sWL5Akwiq5du6odej69A1N8Xw+R237atGkxzrN48WI1gfj0ftO69pyxCQ0NVSshMmXKFK2mOym3lUajYe7cuer+duzYsWzatCnO/YRuvb///nu932L9+vXVy4TLly9X255H9ebNG2bPng1EdpD59GTZWJUtW1Yd3WLHjh0xDiPl5+fHhAkTgMjOQYlpo55SDP0bsrCwUL879+/f18uHdMLDw6PdAvVTyX181935KK7j4vnz59XHCTlmJbqNJ0TWVr548QIPD4/IhZmZxdles2LFity/f19tW2FiYhJroppW2djY0L59ezZs2IC7uzv79+9X25A0adKE+fPnExoaypgxY7h//z41atTAysqKx48fs3HjRu7evUuFChXivLysGzVAq9UyceJEunfvrtcmUnfAB5g3bx7t27fnw4cP/PDDD+zbt4+mTZvy1VdfYWJionfbqxs3btC7d2/1TCqxog4XodVq+fjxIx4eHty4cYPDhw+rlwUsLCyYMGGCmuR8avjw4Vy5coWbN2+yYcMGLl++TIcOHShevDiZMmXC19eXx48f888//3DmzBns7e2jtav9nAoVKqg99mbOnEnLli3VYUzMzMzUW3C2atWKkydPEhgYSLdu3ejfv796Fuvq6sq6devw9PTE0dEx1luujRo1it9++40GDRrg6OhIwYIFsbS0xNPTk3/++YctW7YAkQds3W0Y4yMoKEitPS5VqlS8dwB169bF3NycsLAw9uzZo3fTgzFjxnDx4kWCgoIYPnw4nTt3pn79+uotM1evXs3jx48pU6ZMrJeLkmKbpYQDBw4waNAgqlevTo0aNbC3tydr1qwEBATw8OFDNm3apO7jOnXqFO31jo6OvHz5khMnTrB161YqVKig1uxZWVml2NBk8dGpUyf279+Pq6sru3bt4vXr13Tp0oX8+fPz/v17du7cyZEjR4DIkRZ0N2fQuXDhAkuXLsXJyYlatWrh4OCAjY0NwcHB/Pvvv2zdulUds7Bdu3bR2gM6Ojpy6dIlbt++zcqVK6lZs6aaOGbIkCHBHRuLFSvGggULGDFiBIGBgUyZMoWtW7fSpEkTypQpg42NDUFBQbx+/Zrz589z7NixGE/WLSwsmDp1KgMHDsTf35/OnTvTp08fqlWrhqmpKa6urqxcuVIdbWPUqFHJevvl1GbatGm0b9+esLAw+vXrR/fu3alTp47eLTN1x3XdbTuN1Zf+hgCGDBnCoUOHePv2LXPnzsXNzY1vv/1W75aZt2/fpnTp0nFebk/O47u/vz+DBg0iX758NGzYkLJly5IvXz5MTU15//49J0+eVCt7cuXKFe1WpHH54sQz6kj4JUqUiLPHZ8WKFfnrr7/U5/b29qmyAfKX6tOnD1u2bCEsLIyVK1fSsmVLTExMyJ07N5MmTWLcuHGEhISwatUqVq1apffapk2b0qFDB7VXe0yqVq1K+fLluXHjBi4uLri4uOhNj3q2XrBgQbZu3cr333/Pw4cPOXnyZJz3Vv30nrKJ8bmkSaPRUK1aNUaPHh1nz2sLCwvWrl3LmDFjOHLkCG5uburdMWKSmDulNG3alBUrVuDu7s769ev12orly5dPPUNs3Lgxbdq0YdeuXbx79y7ama6pqSljxoxR72QVG09PT7Zs2aImmZ+ytrZm/vz55MmTJ97rcPToUfWST0LaK1lbW1O9enVOnz7N+fPn8fT0VEcWKFSoEEuWLGHo0KEEBgayceNGNm7cqPf6oUOHotVquX37doz3WE+qbZYSwsLCOH36NKdPn451nk6dOtGjR49o5X369OHw4cOEhoYyceJEvWmtW7dm1qxZSR5vYpmamrJ8+XIGDRrE9evXuXjxIhcvXow239dff82qVati3B9otVouX77M5cuXY32fevXq8dNPP0Ur79KlC1u3buXDhw/MmzdPbdcMkfe8/vQ7Fh+1atViy5YtTJ48mevXr6s3JohNtmzZGDp0aLT9Re3atZk5cyYTJkwgICCAhQsXsnDhQr15TE1NGT58eJz3aTdGJUqUYPny5QwfPhx/f3/Wrl2rjuUdVdeuXWP83I1JUvyGrK2tWb16Nd999x3v37+P8Tjepk0bKlWqxJgxY2KNJSWO769evWLdunWxTs+RIwdLly5N0LK/KPH89DL552ovP51ubJfZdXLnzk3r1q3Zvn07T5484fDhwzRp0gSAtm3bUrhwYdasWcP169fx8/MjW7ZsFC9enDZt2tC0aVN1DMHYmJiYsGbNGlavXs3Jkyd58eIFQUFBsVaJFy5cmD179nDo0CGOHDnC7du38fb2JiIigmzZslG4cGEqVqxIgwYNEtSeKz4sLS2xtrZWb0dYpkwZ6tWr99lbKepYWVmxaNEirl69yp49e7h69Srv3r0jJCQEKysrChQoQNmyZalVq1aCBprXyZw5M1u3bmXFihWcP3+e169fxzrO2cyZM6latSrbt2/n/v37hIWFkSNHDpycnOjWrRtly5Zl0aJFsb6Xi4sLp06d4tq1a7i7u+Pp6Ymfnx+ZM2emSJEiODs707lz5wSPiZaYy+xR5z99+jTh4eG4uLjonfDUqFGD/fv3s3LlSs6dO8e7d+/ImjUrpUuXplu3bnzzzTdMnz4d0B/sOqov3WYpYcyYMVSvXp2LFy/y4MED3r9/j7e3N6ampuTOnRtHR0fatWsXa3v0EiVKsG3bNvU37enpmSLtPRMrW7ZsbNq0iX379uHi4sL9+/fx9fUlc+bM2Nvb07hx42iXB3V69+6Ng4MD//zzD/fv3+fdu3dqLaCdnR1ly5alVatWsdZ+5MqVix07drBixQquXLnC27dv9doXJ1bx4sXZsmULFy5c4Pjx4+p+wtfXlwwZMpAjRw5Kly5N7dq1adCgQYwnShB5olCpUiXWr1/P+fPnefPmDVqtlpw5c1K1alW6desW78G6jY2zszNHjx5l/fr1nD59Gnd3d0JDQ7Gzs6NixYp06tTJqPpsxOVLfkM6xYoVw8XFhVWrVnHs2DFev36tvr5Dhw40b948Xre4TK7je758+dixYwdnzpzB1dWVV69e4eXlRWBgINbW1hQtWpQ6derQsWPHBFf6aJTk6rUhhDB6vXr14sKFC1SsWPGz92cWQgghEt25SAiRvnl4eKjj8ka9PZwQQggRG0k8hRAxiqv3cnBwMGPGjFF7XSZkEGYhhBDp1xe18RRCGK9x48YRGBhIkyZNKFWqFNmyZSMgIIA7d+6wefNmNTFt165dum33JoQQImEk8RRCxOrOnTtxDufRoEGDz47nKYQQQuhI5yIhRIzu3r3L0aNHuXjxIh4eHnh7e6MoCra2tpQrV47WrVvHOgarEEIIERNJPIUQQgghRIqQzkVCCCGEECJFSOIphBBCCCFShCSeQgghhBAiRUjiKYQQQgghUoQknkIIIYQQIkVI4imEEEIIIVKEJJ5CCCGEECJFSOIphBBCCCFShCSeQgghhBAiRUjiKYQQQgghUoQknkIIIYQQIkVI4imEEEIIIVKEJJ5CCCGEECJFSOIphBBCCCFShCSeQgghhBAiRUjiKYQQQgghUoSZoQNIDqGhody8eZNXr14RHByMjY0NJUqUoECBAoYOTQghhBAi3TKqxPPatWts2LCBkydPEh4ejrW1NZaWlvj6+hIaGkqBAgXo0KEDnTp1wsrKytDhCiGEEEKkKxpFURRDB5EUBg4cyL1792jevDl169aldOnSZMiQQZ3u7u7O1atXcXFx4cGDB8yePZsaNWoYMGIhhBBCiPTFaBLPrVu30rZtW8zNzT877+PHj3n//j3VqlVLgciEEClp165djBkzhuPHj5M/f35DhxMv3bt3x8fHBxcXlzjne/nyJfXq1WPmzJm0adMmhaITQoikYzSdizp16hSvpBOgaNGiknQKkQI2bdqEg4MD7du3N3QoSeb06dMsWrTI0GGIWAQFBbFo0SIuXboUbdq7d++YO3cu3bt3x9HREQcHhxjnE0IkH6NJPGPz8OFDNm3axIYNG7hz546hwxEiXdm/fz/58uXj1q1bPH/+PEXe89tvv+XWrVvky5cvWZZ/+vRpFi9enCzL/hzdtvz2228N8v5pQVBQEIsXL+by5cvRpj179oxVq1bx7t07HBwcDBCdEMKoE89NmzbRq1cvLl++zKVLl+jZsyfLli0zdFhCpAvu7u64uroyZswYbGxs2L9/f4q8r6mpKZaWlmg0mhR5v5Sk0WiwtLTE1NQ0zvkCAwNTKKKYhYSEoNVqDRpDTEqVKsWlS5c4fPgwvXr1MnQ4QqRLRpV4vnnzRu/5X3/9hYuLCwsWLGDJkiWsXr2a9evXGyg6IdKX/fv3kzVrVmrVqkWjRo1iTTx9fHz4+eefqVChAk5OTvzyyy+4ubnh4ODArl271Pnc3NwYPXo09erVo0yZMtSoUYMxY8bg4+Ojt7xdu3bh4ODAy5cv1bK6desyYMAArl69Srt27ShTpgz16tVjz549eq8NCwtj8eLFNGzYkDJlylClShU6d+7M+fPnARg9ejSbNm0CwMHBQf33OadPn6Zbt244OjpSoUIF2rZtG+P2ePz4Md27d6dcuXJ88803rFq1Sm/6y5cvo22X0aNH4+joyIsXL+jXrx+Ojo6MHDkSiGw72rx5c+7cuUOnTp0oW7YsdevWZcuWLZ+NWefjx4/MmDFD7bRZs2ZNRo0ahbe3NwCXLl3CwcGBAwcO8Pvvv/PNN99Qrlw5/P39ATh06BBt2rShbNmyVKlShZEjR+Lh4aEu//jx4zg4OODm5qaWHT58GAcHB4YOHaoXS5MmTRgxYkSssb58+VJtRrV48WL189E1jbCysiJbtmzxXnchRNIzquGUevXqRZcuXejRowcajYZs2bJx9uxZmjRpQmhoKP/88w82NjaGDlOIdGH//v00aNAACwsLmjdvzpYtW7h16xZly5ZV59FqtQwaNIhbt27RuXNnihQpwvHjx/nll1+iLe+ff/7B3d2dNm3akCNHDh49esT27dt5/Pgx27dv/2wN5/Pnzxk+fDjt2rWjdevW7Ny5k9GjR1OqVCmKFSsGRCYrK1asoH379pQtWxZ/f3/u3LnD3bt3qVGjBh07duTdu3ecP3+e3377LV7bYdeuXYwdO5ZixYoxYMAArK2tuX//PmfPnqVFixbqfL6+vvTt25cGDRrQpEkTDh8+zNy5c7G3t6dWrVpxvkd4eDh9+vShYsWK/PLLL3ojevj6+tK/f3+aNGlCs2bNOHToEJMmTcLc3Jx27drFudyAgAC6du3KkydPaNu2LSVLlsTHx4cTJ07g4eGhtz9dunQp5ubm9OnTh9DQUMzNzdWOXmXKlOHHH3/Ey8uLDRs2cP36dfbs2UOWLFmoWLEiGo2Gq1evUrx4cQCuXr2KiYkJ165dU5fv7e3N06dP6datW6zx2tjYMGnSJCZNmkSDBg1o0KABgFxWFyI1UYyIn5+fMnHiRKVt27bKvXv3lEePHimtW7dWHBwclOLFiyvNmjVTbt68aegwhTB6t2/fVuzt7ZXz588riqIoWq1WqVmzpjJt2jS9+Q4fPqzY29srf/75p1oWERGh9OjRQ7G3t1d27typlgcFBUV7HxcXF8Xe3l65cuWKWrZz507F3t5ecXd3V8vq1KkTbT4vLy+ldOnSyqxZs9Syli1bKv37949z3SZPnqzY29t/bhMoiqIoHz9+VBwdHZX27dsrwcHBetO0Wq36uFu3boq9vb2ye/dutSwkJESpUaOGMmzYMLXM3d092nb55ZdfFHt7e2Xu3LnR3l+33LVr1+ot99tvv1WqVaumhIaGxhn/ggULFHt7e+XIkSPRpuniv3jxomJvb6/Uq1dP7zMKDQ1VqlWrpjRv3lxv3U+ePKnY29srCxYsUMuaNWumDB8+XH3eunVr5fvvv1fs7e2Vx48fK4qiKEeOHFHs7e2V+/fvxxmzl5eXYm9vryxcuDDO+Q4dOqTY29srFy9ejHM+IUTSMqpL7VZWVkyaNImxY8cyevRoduzYwaZNm7h69SqXLl3CxcVFr7ZFCJE89u/fj52dHVWqVAEi2yY2bdqUgwcPEhERoc539uxZzM3N6dChg1pmYmJC165doy0zai1eSEgI3t7elCtXDoC7d+9+NqaiRYvi5OSkPrexsaFw4cK4u7urZVmyZOHRo0f8+++/8V/ZOJw/f56AgAD69++PpaWl3rRPa2gzZcqk12nIwsKCMmXK6MUXl86dO8dYbmZmRseOHfWW27FjR7y8vD673Y4cOULx4sXVmsO44m/VqpXeZ3Tnzh28vLzo3Lmz3rrXrl2bIkWKcOrUKbWsYsWKXL16FQB/f3/c3Nzo2LEj2bNnV2s9r169SpYsWbC3t48zZiFE6mZUiadOhQoV2LlzJ1myZKFVq1bqDksIkfwiIiI4cOAAVapU4eXLlzx//pznz59TtmxZPD09uXDhgjrv69evyZEjBxkzZtRbRsGCBaMt98OHD0ybNo3q1atTtmxZqlWrRr169QDw8/P7bFx58uSJVpY1a1Z8fX3V599//z1+fn40atSIFi1aMHv2bL22hwn14sULAPVSflxy584dLZn7NL7YmJmZkTt37hin5cyZk0yZMumVffXVVwC8evUKgPfv3+v9Cw4OVuOPT+xAtDFTX79+DUDhwoWjzVukSBF1OoCTkxPv37/n+fPnuLq6otFoKF++PE5OTmpCevXqVSpUqICJSeRh68OHD3oxx+c7IIQwPKNq4xkeHs62bdt4+vQpxYsXZ+DAgTRt2pSJEyeya9cuJkyYgJ2dnaHDFMKoXbx4kffv33PgwAEOHDgQbfr+/ftxdnZO8HJHjBiBq6srffr0oUSJEmTKlAmtVkvfvn1R4nEfjM/1BAeoVKkSR48e5fjx45w/f56///6b9evXM3ny5GQfizQ+8cXGwsJCTcgS49PPIzED1Eet7UyoihUrAnDlyhXc3d0pWbIkmTJlwsnJiQ0bNhAQEMD9+/f1OhYNGzZMb8ik1q1bM2vWrETHIIRIGUaVeP7666/cvn2bunXrsnPnTh48eMC4cePYsGEDO3bsoGPHjvTp04cuXboYOlQhjNb+/fuxtbVlwoQJ0aYdPXqUo0ePMnnyZDJkyEDevHm5dOkSQUFBerWeuppCHV9fXy5cuMCwYcP0ejon1SXxqLJly0bbtm1p27YtAQEBdOvWjUWLFqmJZ0KGadLV3D569IhChQoleazx8e7dOwIDA/VqPXXbTTfW6bp16/ReU7RoUSAy/kePHiXqffPmzQtEjp356Q07nj17pk7XzZs3b16uXbuGu7u72iTCycmJmTNn8r///Y+IiAgqVaqkvuaXX37h48eP6vOcOXMCCft8hBApz6gutR8/fpxFixYxcuRI1q1bp9eGqH379mzfvl2vl6QQImkFBwdz5MgRateuTePGjaP969q1KwEBAZw4cQKIrGkLCwtj+/bt6jK0Wq06ZJFObLWBST082qdDM2XOnJmCBQsSGhqqlukS5KhJT2ycnZ3JnDkzK1asICQkRG9afGppk4LuSpBOaGgo27Ztw8bGhlKlSgFQvXp1vX+6JK5hw4a4ublx9OjRaMv9XPylS5fG1taWrVu36m2/06dP8+TJE2rXrq03f8WKFbl48SK3bt1Sa0BLlChB5syZWblyJRkyZFDj1S0/asy6ZDkhn48QIuUZVY2nra0t586do0CBAly8eDHaeG22trbMmzfPMMEJkQ6cOHGCgIAA6tatG+P08uXLY2Njw759+2jatCn169enbNmyzJ49mxcvXlCkSBFOnDihtmvU1V5ZWVlRqVIlVq9eTVhYGLly5eL8+fN6Y3UmhWbNmlG5cmVKlSpFtmzZuH37NocPH9YbwkeX/EybNg1nZ2dMTU1p1qxZjMuzsrJizJgxjBs3jnbt2tG8eXOyZMmCm5sbwcHBzJ49O0njj0nOnDlZtWoVr1694quvvuLgwYPcv3+fqVOnfvY2w3369OHw4cMMHz6ctm3bUqpUKXx9fTlx4gSTJ09Whz+Kibm5OSNHjmTMmDF069aNZs2aqcMp5cuXL9oA7k5OTuzfvx+NRqMmnqampjg6OnLu3DkqV66MhYXFZ9c3Q4YMFC1alEOHDvHVV1+RLVs2ihUrpnZKWrp0KRA5ZirA3r171QqJwYMHf3b5QogvY1SJ54QJExg5ciSzZs0iR44c/PHHH4YOSYh0Zd++fVhaWlKjRo0Yp5uYmFC7dm3279+Pj48P2bNnZ8WKFUyfPp3du3djYmJCgwYNGDJkSLTe0PPmzWPq1Kls3rwZRVGoUaMGq1at4ptvvkmy+Lt3786JEyc4f/48oaGh5M2blxEjRtCnTx91noYNG9K9e3cOHDjAvn37UBQl1sQTIq+22NrasnLlSpYuXYqZmRlFihRJsTvnZM2alVmzZjFt2jS2b9+OnZ0dEyZM0BtJIDaZM2dm06ZNLFq0iKNHj7J7925sbW2pVq0auXLl+uzr27RpQ4YMGVi1ahVz584lU6ZM1K9fn59//jlah0/d5fUiRYqQPXt2vfJz587pjUjwOdOmTWPq1KnMnDmTsLAwhg4dqiaeCxYs0Jt3586d6mNJPIVIfholpa73pBBFUfDx8ZGB4oVIw44dO8aQIUPYvHmzWvslEq579+74+Pjg4uJi6FCEEAIwsjaeEHlpTpJOIdIO3dA9OhEREWzcuBErKyu9Nn1CCCHSPqO51N6nTx+GDRtG+fLl45zP39+fzZs3kzlz5hgHqRZCpKypU6cSHByMo6MjoaGhHDlyBFdXV3788ccvGqJHCCFE6mM0iWfjxo0ZNmwY1tbW1KlTh9KlS5MzZ04sLS35+PEjjx8/5tq1a5w5c4ZatWoxatQoQ4cshACqVq2qjkIREhJCoUKFGD9+fJz35BZCCJE2GVUbz9DQUA4dOsShQ4e4du2aeicLjUZD0aJFcXZ2pl27dnz99dcGjlQIIYQQIv0xqsTzU35+fgQHB5MtW7bPDhsihBBCCCGSl1EnnkIIIYQQIvUwul7tQgghhBAidZLEUwghhBBCpAhJPIUQQgghRIqQxFMIIYQQQqQISTyFEEIIIUSKSFeJp5ubGyVKlDB0GEIIIYQQ6VK6SjwBZPQoIYQQQgjDMJpbZgIMHTo0zul+fn5oNJoUikYIIYQQQkRlVInnyZMnqV69OnZ2djFOj4iISOGIhBBCCCGEjlElnkWKFKFhw4a0b98+xun379/n1KlTKRuUEEIIIYQAjKyNZ+nSpbl3716s0y0sLMiTJ08KRiSEEEIIIXSM6l7toaGhREREkDFjRkOHIoQQQgghPmFUiacQQgghhEi9jOpSu06JEiXw8vKKVu7j4yPjeAohhBBCGIhRdS7Sia0SNzQ0FHNz8xSJYeXKlcybN48ePXrw66+/AhASEsKsWbM4ePAgoaGhODs7M3HixFh74cfFy8sPqasWQgghjJ9GA7a21oYOI0kYVeK5YcMGADQaDTt27CBTpkzqNK1Wy5UrVyhSpEiyx3Hr1i22bt2Kg4ODXvmMGTM4ffo0f/zxB9bW1kydOpWhQ4eydevWBL+HoiCJpxBCCCHSFKNKPP/8808gssZz69atmJj815LA3Nyc/PnzM3ny5GSNISAggJ9//plp06axbNkytdzPz4+dO3cyd+5cqlWrBkQmok2bNuXGjRuUL18+WeMSQgghhDA0o0o8T5w4AUD37t1ZvHgxWbNmTfEYpkyZQq1atahevbpe4nnnzh3CwsKoXr26Wvb111+TN2/eRCWe5uam6uOICIWICC2mpiaYmmqilGuJiFAwMzPBxOS/8vBwLVqtgrm5KVFv5BQWpkVRFCws/lt2ZHkEikK08tDQCDQa/Vj+K9dgbv5f4q8okcsxMdFgZvZfuVarEB6uxdRUg6npf+WyTrJOsk6yTrJOsk6yTsbHqBJPnY0bN6qPr127RpkyZbCwsEj29z1w4AD37t3j77//jjbN09MTc3NzsmTJoldua2vL+/fvE/xeui9mVJFf+ujzhodrY11GTEJD41+uKLGVKzGWa7Uxl0f+kGMql3WSdZJ1knWSdQJZJ0i/62RMd/s2yl7tUfXr1w8PD49kf583b94wffp05syZg6WlZbK/nxBCCCFEWmOUNZ5RpdQwpXfv3sXLy4s2bdqoZREREVy5coVNmzaxZs0awsLC+Pjxo16tp5eXFzly5EiRGIUQQgghDMnoE8+UUrVqVfbv369XNmbMGIoUKUK/fv3IkycP5ubmXLhwgUaNGgHw9OlTXr9+LR2LhBBCCJEuGH3iOWXKFGxtbZP9faysrLC3t9cry5QpE9myZVPL27Zty6xZs8iaNStWVlZMmzYNR0dHSTyFEEIIkS4YZeJ54cIFKlSogKWlJS1atDB0OKqxY8diYmLC999/rzeAvBBCCCFEemCU92p3dHQkPDycMmXKULlyZSpXrkyFChXIkCGDoUNLMp6ecuciIYQQIj3QaMDOzjjuXGSUiWdYWBi3bt3iypUrXLlyhevXrxMWFkbp0qWpUqUKP/zwg6FD/GKSeAohhBDpgySeacyjR49Ys2YN+/fvR6vVcv/+fUOH9MUk8RRCCCHSB2NKPI2yjeezZ8+4fPmy+i80NBQnJydGjRpFlSpVDB2eEEIIIUS6ZJQ1nsWLF8fGxoYePXpQu3ZtHBwc0BjTsP9IjacQQgiRXhhTjadRJp7Tp0/n6tWrPH78mFKlSqkdjCpWrEjGjBkNHV6SkMRTCCGESB8k8UwjPn78yNWrV7ly5QqXL1/m8ePHlChRgq1btxo6tC8miacQQgiRPhhT4mnU92qPiIggPDyc0NBQ9d+zZ88MHZYQQgghRLpklJ2Lpk2bxqVLl3jy5AlZsmShUqVKtG/fnsqVK+Pg4GDo8IQQQggh0iWjTDzfvXtHx44dqVy5crTbWAohhBBCCMMw6jaexkzaeAohhBDpgzG18TTKGk+AFy9esH79ep48eQJA0aJF6dGjBwULFjRwZEIIIYQQ6ZNRdi46e/YsTZs25datWzg4OODg4MDNmzdp1qwZ58+fN3R4QgghhBDpklFeam/VqhXOzs6MHDlSr3zu3LmcP3+e3bt3GyiypJNSl9p37NjKvn270Gg0aDQaunTpQaNGTQE4duwwf/21noiIcACaNm1J587dYlyOi8tetm/fzPPn/zJkyHA6dOiiTvvzz9UcO3aETJkyMWXKTHLnzgPA9OmTaNGiFWXLlk/elRRCCCFSMWO61G6UNZ5PnjyhXbt20crbtm3L48ePDRBR2jB0aH/evHmtV1a4cBGWLVvLhg3b+O23P1i4cB6vXr0EIGfOXMybt5CNG7ezbNla9uz5m+vXr8a4bAeHEkyZMov69RvplQcE+HP48EHWr99C69bt+PvvbQBcuXIRS8sMknQKIYQQRsQoE08bGxvu378frfz+/fvY2toaIKK0y8mpMlZWVgDkypUbGxtbPDzeAlC2bHlsbe0AsLKyolChr3j79k2MyylWzJ6vviqMiYn+V87ExBStVkt4eDjBwcGYm5sTHBzMn3+uYdCgocm4ZkIIIYRIaUbZuah9+/ZMmDABd3d3KlSoAMD169dZtWoVvXr1MmxwadiVK5fw8/OjRIlS0aY9e/aUO3duM3LkmAQtM2PGjHTs2JUBA77DxsaWceMmsXr1cjp16krmzFZJFboQQgghUgGjTDyHDBmClZUVa9euZf78+QDkzJmToUOH0qNHDwNHl7pMnTqBJ08imx+8euXOzz8Px8zMHICZM+eSJ09eAJ48eczMmVOYPHlmtPvdv3vnwZgxPzFy5Bhy5syV4BjatGlPmzbtAXBzu8/79x5UqVKdefNm4+PjTblyjrRv3+lLVlMIIYQQqYDRJZ7h4eG4uLjQvHlzevXqhb+/P4B6uVjoGz9+ivp46ND+/PrrJDXZ1Hn27CmjRo1gzJjxlCtXXm+ap+d7RowYTM+efahbt/4XxRIeHs6SJX8wadJ0jhw5SLZs2fjpp18YNmwA1as7ky9f/i9avhBCCCEMy+jaeJqZmTFx4kRCQkKAyIRTks7E+/ffZ/z883BGjfqVSpWq6k3z9PRk+PBBdO3akyZNmn/xe23d+hcNGjTG1taOoKBgNBoNABqNhuDg4C9evhBCCCEMy+gST4CyZcvG2LlIJNwff8zB39+fZcsW0atXF3r16sKlSxcAWLNmOR4eb9mxY6s67cCBfUBkTWivXv8NmXTw4H5at27KyZPHWLt2Ja1bN+XhQzd1+qtXL3F1vU6LFq0AaNSoCdevX6V79w7kz1+Ar78u+tlY//nnHL17d6NOnWosWDAvxnl8fLxp0aIhY8b8FOtyNmxYS+fObfjmm0qcOXNKb9pvv02nR4+OfP/9QLU2XVEUfvrpe7W3vxBCCCFiZpTjeB48eJD58+fTq1cvSpUqFa1NYvHixQ0UWdJJ77fMjKlZwIsXzwkJCeHkyWMEBQUxfHj05HLMmJFkyZKFjx99mTkz5uT03r07ZM2ajZkzp9ChQxdq1qwNwNOnj/njj7ksXLicdetWkSVLFtq27ci+fbvx8/tI1649k2VdhRBCpG/GNI6n0bXxBPjxxx8BmDZtmlqm0WhQFAWNRiO1oUnMw+OtOsRSTHLlyk2uXLmTPY6CBQsBcObMyRinu7jsIW/evHz9dTHOnj0V63JKliwdY7mZmRlhYaFotVqCgoKwsbHF09OTY8cOM3/+4i+MXgghhDB+Rpl4Hj9+3NAhpCvr169l7txZsU4fOXI0o0aNTcGIonv9+hV79uxiyZKVHD9+NFHLKFjwKxwdnejduxv58xegd+/+zJw5mcGDh2NmZpQ/JSGEECJJGeXRMl++fIYOIV3p2bM3jRtH3kbz0aMHDBrUj2XLVlGsmANAktV2xnfop08pisLMmVP44YdRWFpm+KIY+vcfTP/+gwE4e/YUOXPmJk+ePMyYMZmAAH/q1m1AvXoNv+g9hBBCCGNllInnihUrsLW1jXbbzL///htvb2/69+9voMiMU0yX0osVc0jy213GZ+inmAQEBPDkyWMmTowc3D4oKJDg4GCGDx/EggXLEhVLQIA/W7b8xfz5i9m4cR3ly1egYcMm9OrVBWfnml+c4AohhBDGyCh7tW/bto0iRYpEKy9WrBhbt241QETCkKysrDh48Dh//72fv//ez5AhI6hcuWqik06AZcsW8913fcmQIQPBwUFoNBo0Gg3h4eGEhYUnYfRCCCGE8TDKxPP9+/fkyJEjWrmNjQ3v3783QEQiJVy9epnWrZuybdtmXFz20rp1U86dO/3Z17m53WPkyO/V53/+uZrWrZty9+5tZs+eSuvWTfHx8VGn37p1g9DQEHVc0zZtOrBr13Z69uxE48ZNZdxYIYQQIhZGOZxSw4YNGTJkCN9++61e+Z49e1i0aJFRdD5KruGUImvuEv/6mzdvUK/eNxw/fjbaXY4SSlEi22cKIYQQ6ZkMp5TKtW/fnhkzZhAeHk7VqpG1UhcuXGDOnDn07t3bwNGlXhqNBsUiBP/wgEQvI1Djq/7103h/UTyZzTOjCbVM0uQztQz9JIQQQqRHRpl49u3blw8fPjB58mTCwsIAsLS0pG/fvgwYMCDZ3nfFihUcOXKEp0+fkiFDBhwdHRk5cqRee9OQkBBmzZrFwYMHCQ0NxdnZmYkTJ2JnZ5dsccWXRgP+4QEsubyY9wGeiVqG19PI1624ugJb78SvU47MdgypPBRrjWWS1uymhaGfhBBCCGNllImnRqPh559/ZvDgwTx58oQMGTLw1VdfYWFhkazve/nyZbp27UqZMmWIiIhg/vz59OnThwMHDpApUyYAZsyYwenTp/njjz+wtrZm6tSpDB06NFV1enof4MkbvzeJeu3HgMgaT88AT0L9wpIyrCSRUkM/CSGEECI6o0w8dTJnzsyLFy+oW7dusiedAGvWrNF7PmvWLKpVq8bdu3epVKkSfn5+7Ny5k7lz51KtWjUgMhFt2rQpN27coHz58skeY3qXUkM/CSGEECI6o048ASZMmEC5cuXUGseU5OfnB0DWrFkBuHPnDmFhYVSvXl2d5+uvvyZv3rwJTjzNzU3VxxERChERWkxNTTA11UQp1xIRoWBmZoKJyX/l4eFatFoFc3NTvY5EERGR17Q1GtBEmV9RFFD0ywAUrQKayBpmHXUeTfzm5/87EGk0///GuuX8/0NTUxOi3hQooesUFqZFURQsLP7bXpHlEepjMzMTdXpoaAQajf72/a9cg7n5fwNBKErkckxMNJiZ/Veu1SqEh2sxNdVgavpfeVJ9TnGtk6IQrVzWSdZJ1knWSdYp7a+TsTD6xNNQvaK1Wi0zZsygQoUK2NvbA+Dp6Ym5uTlZsmTRm9fW1jbBwzzpvphRRX7po88bHq6NdRlRmZhoQPP/vcm10bdbTGUoEOwTRMiHEAAC3vhH/n3tD/8/u2U2SyyzZVDnj+kzURTdf1Ge//86aWN43/iuk05oaMzlumVFna4oMc+vKEqM5VptzOWRO6eYyqN/TvPmzeb27Zvq8xcv/mXQoO9p375TrOt04cJFfvhhCEOHjqBDhy5A5FBQx44dIVOmTEyZMpPcufMAMG3aJFq0aBWtZjc51wmS7nOK+fNI+c8JZJ1A1knWSdYpsjzl1ulLRptJbYw+8TSUyZMn8+jRIzZv3mzoUJKd+yl3nu59old2e+Vt9XGRb7+maKtiKR1WqhXTXZd++ukX9bGXlyft239L3br1Y12Gv78/y5cvomrVGmpZQIA/hw8f5K+/dnDkyCH+/nsbQ4eO4MqVi1haZkiy5gRr1qxg9+4d2NnlBKBw4SJMnDgtxnkvXvyHVauWER4ehqVlBn7+eSzFikWeiP3223Tu3LlFtmzZmTFjLlZWViiKwsiRw/nxx1Hky5c/SeIVQgiRehh94rlq1Spy5cqVou85ZcoUTp06xV9//UXu3P+1J7SzsyMsLIyPHz/q1Xp6eXnFOOB9WlGgdgFyls8Z63TLbJYpGE3ad+iQC1WqVMXWNvZRAX7/fTY9e/bh9OmTapmJiSlarZbw8HCCg4MxNzcnODiYP/9cw2+//Z6oWGK7NWmDBk0YPvynOF/78eNHpkwZz+LFKylS5Gtu3nRlypRxbNy4nadPH/PypTsbNmxj3bpVHD58gLZtO7J//x4qVKgoSacQQhgpo048vby8ALh16xaFCxfG1tY2Wd9PURSmTp3K0aNH2bhxIwUKFNCbXrp0aczNzblw4QKNGjUC4OnTp7x+/TpNdyyyzJbhv0vp4osdOLCPIUNGxDr95MljaDQmODvX0ks8M2bMSMeOXRkw4DtsbGwZN24Sq1cvp1OnrmTOnPJ3U3r9+iVZsmSlSJGvAShXzhEPDw8ePHAjY8YMhIWFotVqCQoKwsbGFk9PT44dO8z8+YuTLIaE1M7+8MMQvL290GhMyJQpEyNGjMTevjjh4eGMH/8Lr1+/Jl++/EyZMhMzMzNCQkL48cehzJw5L1rzGSGEEDEzysTT39+fyZMnc/DgQbVdhqmpKU2aNGHixIlYWyfP6P+TJ0/GxcWFpUuXkjlzZrXdprW1NRkyZMDa2pq2bdsya9YssmbNipWVFdOmTcPR0TFNJ57i86ZOncCTJ48BePXKnZ9/Ho6ZmTkAM2fOVWsUb950JTAwkGrVasS4HC8vT9avX8uiRStinN6mTXvatGkPgJvbfd6/96BKlerMmzcbHx9vypVzpH37Tl+8PidPHuP69atkzZqVXr36UqGCU7R58ucvyMePvty+fZMyZcpx7txpAgMDePv2NbVq1cXR0YnevbuRP38Bevfuz8yZkxk8eDhmZonbLX1J7SzAlCmz1H3D6dMnmT59MuvXb+HSpQtYW2dh/fp5zJgxmUuXLlCjxjf8+edq2rTpIEmnEEIkgFEmnuPGjeP+/fssX74cR0dHAFxdXZk+fToTJkzg998Td9nxc7Zs2QJA9+7d9cpnzpxJmzZtABg7diwmJiZ8//33egPIC+M2fvwU9XFsCRKAi8temjRpjqlpzL0ZHzxww8vLk+++i+xM5Ov7gXPnzuDj48OAAUPU+cLDw1my5A8mTZrOkSMHyZYtGz/99AvDhg2genXnOC9lfy5JbtWqLT179sHMzIxbt24wduzPrF69Qe3IpBN5YjWbFSuWEBgYSOnSZfjqqyLquvXvP5j+/QcDcPbsKXLmzE2ePHmYMWMyAQH+1K3bgHr1Gn5myyadqCekAQH+6ugLkbWbwQCEhEQ2YXj8+BEvXvyrt82FEEJ8nlEmnqdOnWL16tU4Of1XC/PNN98wbdo0+vbtm2zv++DBg8/OY2lpycSJEyXZFNEEBPhz6tRx1q7dFOs81as7s3//EfX59OmTKFbMXu3VrrN16180aNAYW1s7goKC1SRKo9EQHBwcZxzxTZIBypYtj729A25u96IlngAVKjiptaGhoaG0bNmIr74qojdPQIA/W7b8xfz5i9m4cR3ly1egYcMm9OrVBWfnmlhaflkzjvjUzupMnToBV9drAMyZswCASpWqcOrUcXr27EypUqWpUMGJn376nl9/ld+wEEIklFEmntmyZYvxcrqVlZVcFhOp1rFjR3BwKEGBAgX1yt3c7rF69XLmzl0Yr+W8evUSV9frzJ0bmTg1atSEsWN/5uTJY5QpU46vvy76RXG+e+dBzpyRHfbc3V/w6NFDihSJeZmenp7q7WD//HM1FSs6kT+/ftvnZcsW8913fcmQIQPBwUFoNBo0Gg3h4eGEhYVjGUfftKSqndXRJd2HDrmwbNlC5s5diImJCb/8Mk6dZ/v2zdSsWYuIiAgmTfqVsLBQ2rTpQMWKleKx9T7Px8ebHj06Ubp0GWbOnBfjPEOH9sfD463adrdJk2Z07NgVkNEChBCpm1EmnoMGDWLWrFn89ttvam/x9+/fM2fOHAYPHmzg6ER6t3jxyhjLv/22Dd9+2yZaefHiJWNNOn/9dVK0snz58jNv3n/zZ8mSNdb3TIyVK5fy4MF9TE3NMDEx4ccfR1GwYCEAzp07zblzZxg9ejwAa9Ys5+ZNVyIiIihdugyjR0/QW9atWzcIDQ2hUqWqALRp04FJk8ayadN6GjduipVV3J2ikrJ2NqomTZozZ85MfH0/kDVrNrX87ds3XLhwnnnzFjF9+kRatmxN8eIl6N//O/76a3ucy4wqrlh/+20G1as78/Gjb5zLGDbsR2rWrK1XJqMFCCFSO6NMPLds2cLz58+pU6cOefJEHmDevHmDubk53t7ebNu2TZ139+7dhgpTiM/y8HiLh8fbWKfHdAvQpBRTwjpu3ORY53d2roWzcy31edSawpiULVteb3zRfPnys2rVhoQHGov41s76+fkREhKMnV3kieqZM6fImjUrWbJk1ZtvwYK5DBv2IyYmJmoTBo3GhODgoCSJ18VlD3nz5uXrr4tx9uypBL/ezMwsRUYLEEKIxDLKxLN+/dgH3hbGI/Kg/2Wv1/01Mfmy20IosdyR6UutX7+WuXNnxTp95MjRjBo1NsnfNzEMnSTHJL61swEB/owf/wshISFoNCZky5ad3377Xe/2rkeO/I+iRe3V4aG6devJ7NnTCQ8Po1evPl8c6+vXr9izZxdLlqzk+PGjn51/+fJFrF69jK++KsKAAUPIly8/BQt+leSjBQghRFLSKIa6p2QyiYiI4Pr16zg4OBh1e05PT79ot8z8UiYmGvw03kw6OYk3fm+SduEJlMc6D5PqTMJasYnxlpkajQbFIoSA8IBEv8edm7dpUbc5+0+4ULpcmS8Jl8xmmdGEWiZ58hk1mXv06AGDBvVj2bJVFCvmABgmmYvNb7/NSDNJsiF82h41V67canvUGTPmMHPmFAYOHEapUqU5eHA/Z8+eirWNp4fHW3Llyo2iKOzatZ3du//mr792RJvv7NlT3Lp1k27derJkyQKDjBYghPhyGg3Y2SXPUJApzehOgU1NTenduzcHDx406sQzvdNowD88gCWXF/M+wDNRy/B6Gvm6FVdXYOsd+12CPidHZjuGVB6KtcYyyU8GYkosixVzSLLbXyalnj1707hxUyD2JDm1METtbFztUf39/Xny5DETJ44BICgokODgYIYPH8SCBctijA8iT8Datu3IkiULorVHTe7RAoQQIjGMLvEEKFasGC9fvox25yBhfN4HeCa6dvZjQGTnDc8AT0L9wpIyrHQpLSXJqa0Jg5WVFQcPHlefx1XjGR4ezsePvtjYRN6J7dSp42TPbqOXdMKXjRYghBDJxSgTzxEjRjB79myGDx9OqVKlyJQpk970z/WUFUIYt7RUOwv6Q2qFhYXx888jCAsL/f/2qNmYNWu+3vxfOlqAEEIkF6NMPPv37w9EDqsUtXOAoihoNBru379vqNCEEKmAoWtnPze8VdOmLWjatIX6POqQWhkzZmTNmo1xvj65Rwv4559zrF69nGfPntCqVbt43ZL0wIF9zJw5hRkz5qrDQMmYo0KkP0aZeG7YkHQ7WCGEMCRDjxYQ05ij+fMXYMyYCZw8eYygoM8PJfXmzWv2799DqVL/deKTMUeFSJ+MMvGsXLmyoUMQQogkkdraowLqkFRnzpz87LxarZZZs6YxYsTPLF78u1ouY44KkT4ZTeLp5uaGvb09JiYmuLm5xTlv8eLFUygqIYT4MmmtPeqntm7dRNmy5ShevIReuYw5KkT6ZDS/7latWnH+/HlsbW1p1apV5DiPMYxtI208hRBpiSHao3465ujPPw9XxxydOXNurLcl/dTTp485ffoES5asinF6//6D6d8/8jbGZ8+eImfO3OTJk4cZMybLmKNCGCmjSTyPHz+OjY2N+lgIIUTixDXmaELcvHmDt29f06lTawC8vb347bfpeHl50rp1O3U+GXNUiPTDaBLPfPnyxfhYCCGEYbRu3U4vwRw6tD8dOnRRe7XryJijQqQfRpN4furff//l0qVLeHl5odVq9aYNHTrUQFEJIUTad/XqZaZPn0RAQACKonDq1HF++ukXnJ1rce7cac6dO8Po0ePjtSwZc1SI9MUoE8/t27czadIksmfPjp2dnd5YnhqNRhJPIYSIp5jGHHVyqszu3QdjnN/ZuRbOzrXivazkHnNUCJG6GGXiuWzZMkaMGKEOJC+EoUVeOvzyZej+mpgkfmGKQowd74T4UoYec1QIkfoZZeLp6+tLkyZNDB2GEEBkoqhYhOAfHvBFywnU+Kp//TTeiV5OZvPMaEItJfkUSS41jjkqhEhdjDLxbNy4MefOnaNz586GDkWkMiEfggn5EAJAwBt/vb8AltksscyWtD1oNRrwDw9gyeXFvA/wTPRyvJ5GvnbF1RXYetslahk5MtsxpPJQrDWWSN4pklpaH3NUCJH8jCbxjHqbzEKFCrFgwQJu3ryJvb19tMGIe/TokdLhiVTC/ZQ7T/c+0Su7vfK2+rjIt19TtFWxZHnv9wGevPF7k+jXfwyIrPH0DPAk1C8sqcKKRpoFiMQyxJijQoi0xWgSzz///FPveaZMmbh8+TKXL1/WK9doNJJ4pmMFahcgZ/mcsU63zJa+x21Ja80CJEkWiSXtUYUwDKNJPE+cOGHoEEQaYJktQ5JfSjcmaalZgCTJkiR/CWmPKoRhGE3iKYRIOmmhWYAkydLB7EtIe1QhDMMoE89hw4ZRpkyZaMMprVq1itu3b7Nw4UIDRSaESGqSJCeMdDCLJO1RhTAMo0w8r1y5EuMg8TVr1mTdunUGiEgIIdJGkiyEEMnJxNABJIfAwEDMzc2jlZuZmeHv7x/DK4QQQgghRHIzysTT3t6egwej387t4MGDFC1a1AARCSGEEEIIo7zUPnjwYIYNG4a7uztVq1YF4MKFCxw4cIAFCxYYODohhBBCiPTJKBPPunXrsmTJEpYvX87hw4extLTEwcGBdevWUblyZUOHx6ZNm1izZg3v37+nePHijB8/nrJlyxo6LCGEUH3p8E8y9FPSkTFHhTExysQToHbt2tSuXdvQYURz8OBBZs6cyeTJkylXrhzr16+nT58+/O9//8PW1tbQ4QkhRJIM/yRDPyUdGXNUGBOjTTxTq3Xr1tGhQwfatm0LwOTJkzl16hQ7d+6MNvxTXEJDw5J8R2xioiFUE0pEWATacG2SLjuhIsIiCA0NJVQJRauNvp7pJdaQD8GE+OrfW97v5Ue0EZHLscyasHvLp9R21cWnjdAmejkSq2Fi1cXrF+7D8ivLEj38k/czLwCWXVyGjUfiTqpzZLZjYKVBWCs2scaaFMLCwtS/oaGhyfY+idWlSzfq1WsAwOPHDxk2bBCLFi2jaFF7AHLlypUq4xZJR/Old59IRSTxTEGhoaHcvXuXAQMGqGUmJiZUr14dV1fXBC1r6dKFhISEJGl8Go2GUE0QT149JjA0MEmXnVABFv4sdV2ChZIxxgQ7vcT69u4bPO556JXdXXNXfZyrZC5yl8qTKmKNKtAn8rU+F30IeZC476nEaphYo8Z7+dXlRMeri/XRiUdkyv4qUcvIZJEJ7TltnLHq4v0SusvYW7b8xYkTx75oWZ+rEEiqWK9cucyLFy++aFnJHWtSMqZYE8PS0pJp0yYl+XINQRLPFOTj40NERES0S+q2trY8ffo0QcsyNTXB1DRyUAJFUdBqFUxMNHo/vtjKtVoFRVHU10ctNzcxp0o+/Xawup/Qpz/rhJRH/RnGt9zcxByNNjI5j75OYGFiocb6ueV/SeyxlUd9TwtTC0wVDYqiibbdNRqw0FhQOcp2je82CMjhT0ClTy53Rgkmc+bMWFlZJSh28/+PNTxcibH9nbnGnMr5Kn/R5+eR0YNHPMQpX0Vy5coV7+V8GruZiTlEEO27GvH/NX8WphZ639fEfPfefRJrYr6rulh03wHQ/53pvgNV8lX+ou+eR6b/Ys35/9s1MZ+T7jug1RLrvsPcJPbvQXxiV2PNW5FcuXN9dv7YYjc3sYAI4ty/WSgRaMJC1QUpumV88gaxlVuEBQORfzOEBenP/8nKKkoMy/j/cswtCDcz0xuYPyJCq/7ONBowiwhHExqa4Bh15XqxhgbFPX8MH5SuXIkSa2SM+vtajQbMwsPQhIUlOMakLlfMLQjRmMZy3NICGiyJ8h0g7s8pWWM3NyfM1ExvQlzH3NjWSVH093ufzpOWSeKZRg0YMDRZzqqS4n7SSeVznQok1sRJiVhv3brJlg1b6Nm5H2XLlkv0ciRWfbdu3WTL+uSPFb48XjXWLsm/XbMoIWgCEt8e9cbdO6zesoVe7TtQvlTpRC9HyZyZj5rY26OamGjI4ueNsnwZyvvENWG44fuR1UAP34+UN40+XnV8aHLYoenbj4/WsTdhSIpYk0Kai7Vf/zhjTfSyU8sBJAmki8QzIiKChw8fkjdvXrJmzWqwOLJnz46pqSleXl565V5eXtjZJez2dxYW5un6dncidTMzM1P/mpkl7uCYUiTW5JGSsQZrLNBksE7060Oyvv3/v3YE2ya+d7iigHkcO2YTEw0WFhZovX3g3btEvYf5x8hOW+be3liERyRqGZiaYmJhERlLHMncl8aaJIws1sQyorzTOBPP6dOnY29vT/v27YmIiKBbt264urqSMWNGli9fTpUqVQwSl4WFBaVKleLChQvUr18fiKxSv3DhAt26dTNITEKI1C3qUDqPHj3Q+wsylA5E1oh+yYm4roZSd/leCJF8jDLxPHz4MC1btgTg5MmTvHz5kkOHDrF3715+//13tm7darDYvvvuO3755RdKly5N2bJlWb9+PUFBQbRp08ZgMQmRFNJSgpSWYo1pKJ1Bg/qpj2UoHSFEWmKUiaePjw85cuQA4PTp0zRu3JjChQvTtm1bNmzYYNDYmjZtire3NwsXLuT9+/eUKFGC1atXJ/hSuxCpTVpKkNJSrD179qZx46axTk8tCbIQQsSHUSaednZ2PH78mBw5cnD27FkmTZoEQHBwMKampoYNDujWrZtcWhdGJy0lSGkp1tRU+yqEEF/KKBPPNm3aMGLECHLkyIFGo6F69eoA3Lx5kyJFihg4OiGMU1pKkNJSrEKkJW9CgnkbxxjTuS0tyWMZ/5teCONjlInnsGHDKFasGG/fvqVx48ZYWFgAYGpqSr9+/T7zaiGEEImRltrOiuSx2t2d6U+fxDr91yJfM75osRSMSKQ2Rpl4vnnzhsaNG0crb926tQGiEUKI9CEttZ0VyaNvgQI0z5kTgAcB/vS6fZs/y5TBIXPkjS5yW1oaMjyRChhl4lm3bl0qVqxIy5YtadSokUHH7hRCiPQiLbWdFckjj2WGaJfSHTJb4ZhFjsMiklEmnjt37mT//v0sWbKEqVOn8s0339CyZUvq1q2rXnYXQgiRtORSuhDic4wy8SxZsiQlS5Zk1KhRXLp0CRcXFyZMmMC4ceNo0KABM2fONHSIQgghDEjaowphGMZz1/kYaDQaqlatyrRp01i3bh358+dnz549hg5LCCGEga1fv5b69WtSv35NtR3qoEH91LL169caOEIhjJNR1njqvH37lv379+Pi4sKjR48oX748EyZMMHRYQgghDMyQ7VE1OexI9I05Lf7/vvd2dmCbuBuPaHLIDUuE4Rhl4rl161ZcXFy4fv06RYoUoUWLFjRv3px8+fIZOjQhhBApwN39BdOnT+LDhw9YWVkxduxEihT5Wp2uu5R+4MA+duz47zbK7997UK5cBWbMmMPr16+YOHEsQUFBNGzYmB49egPw77/PWLZsIbNn/56gmBQFlMyZ0QwZiiaR62Vy5za47MdkwABMSpdJ5FIi4/iS+9sLkVhGmXguW7aMZs2aMW7cOIoXL27ocIQQQqSwOXNm0LJla5o2bcHJk8eYMWMyq1dHv2Vys2Ytadaspfq8e/cONGwYORzfrl07aNOmPQ0bNqFbt/a0a9eRjBkzsXDhPEaOHJPgmBRF4aPGEo114ocU8s+UVf370dom0ctRlMh4hEhpRpl4njp1Co0mseeTQggh0jIfH2/c3O4zf/5iAGrXrsfvv8/h5Ut38ucvEOvr7t69g4+PD87OtQAwMzMjJCSY8PBwFEVBozFhz56dVKpUlbx5E3cFTVGUL6pp1CWLiqKg1UriKNIeo+xcJEmnEEKkXx4eHtja2mJmFlm3otFoyJUrl9qLPTYuLntp1Kip+rp27Tpx5swpBg78jk6duhEQ4M+pU8fp0KFzsq+DEMbKKGs8hRBCiIQICgri+PEjrFixTi2zs7NTa00Bxo37haFDR3D9+lX27Pkbc3MLBg4cSu7ceQwRcoqQjlAiqUniKYQQIs07dMiFbds2A1C/fkO8vLwIDw/HzMwMRVHw8PCIs6f6yZPHKFy4CIULF4lx+qlTx8mXLz/FijnQtWs7Vq1aj5vbfVavXs64cZOTZZ0MSTpCieQiiacQQog0r0mT5jRp0lx9fvHiPxw5coimTVtw6tRxcuTIGWf7TheXvTRv/m2M0/z8/NixYyvz5y8CIDg4GI3GBI1GQ1BQYNKuSCohHaFEcpHEUwghhNEZNWos06dPZsOGdWTOnJmxYyeq02bNmoqzc021E9GLF//y6NFD5s5tEOOyli1bSO/e/bH8/3uQ9+zZh759u2NmZs6YMeOTf2UMRDpCieRgtInn//73Pw4dOsSbN28ICwvTm7Z7924DRSWEECIlFCz4lV57zahGjx4fbd6jR8/EuqxRo37Ve96yZWtatmz95UEKkQ4ZZa/2DRs2MGbMGOzs7Lh37x5lypQhW7ZsuLu7U7NmTUOHJ4QQQgiRLhlljefmzZuZOnUqzZs3Z9euXfTr148CBQqwYMECfH19DR2eEEIIIUS6ZJQ1nm/evMHR0RGADBkyEBAQAMC3337LgQMHDBmaEEIIIUS6ZZSJp52dnVqzmSdPHm7cuAHAy5cvpWecEEIIIYSBGOWl9qpVq3LixAlKlixJ27ZtmTlzJocPH+bOnTs0aBBzr0UhhBBCCJG8jDLxnDp1KlqtFoCuXbuSLVs2XF1dqVu3Lh07djRwdEIIIYQQ6ZNRJp5v374lT57/bmHWrFkzmjVrhqIovHnzhrx58xowOiGEEMI4eXi8xcPjLQCPHj3Q+wuQK1fuOO8gJYyfUSae9erV49y5c9ja2uqVf/jwgXr16nH//n0DRSaEEEIkTFpK5tavX8vcubP0ygYN6qc+HjlyNKNGjU3psEQqYpSJp6IoaDTR7y4bGBiIpWXib/8lhBBCpLS0lMz17Nmbxo2bxjo9tSTIwnCMKvGcOXMmABqNhj/++IOMGTOq0yIiIrh16xbFixc3VHhCCCFEghk6mfvjjzmcO3eGt2/fsG7dJooVc1Cnubu/YPr0SXz48AErKyvGjp1I2bLlY1yOi8seZsyYjFarpWLFSvz002jMzMxwc7vHrFnTCA8Po2vXnjRp0hyAa9eucPz4kWh3jhJpm1Elnvfu3QMiazwfPnyIubm5Os3CwoLixYvTu3dvQ4UnhBBC6PH1/cDw4YPV58HBwbx584r9+4+QJUtWQP9S+tu3b5k/fzbu7s8xNTWlVau2lC1bntevXzFx4liCgoJo2LAxPXpEHuv+/fcZy5YtZPbs3xMdY+3a9ejSpQeDB/eNNm3OnBm0bNmapk1bcPLkMWbMmMzq1Ruizff69StWrVrO2rV/YWNjy+jRP7J37y7atu3AX3/9yYgRI3FwKEGPHp1o0qQ5ISHBrF27klmz5ic6bpE6GVXiuXHjRgDGjBnDr7/+ipWVlYEjEkIIIWKXNWs2/vxzs/p88+aN3LhxXU06o1IUhbFjR9KtWy/q1q0PgLe3FwC7du2gTZv2NGzYhG7d2tOuXUcyZszEwoXzGDlyzBfFWL58hRjLfXy8cXO7z/z5i4HIBPX33+fw8qU7+fMX0Jv31KnjODvXxNbWDoBWrdqyYcM62rbtgKmpGcHBwYSGhmBqGjm8+Jo1K2nfvhPW1tZfFLtIfYwq8dTRXXJPSS9fvmTp0qVcvHgRT09PcubMScuWLRk4cCAWFhbqfG5ubkyZMoXbt29jY2NDt27d6NevXxxLFkIIkV4cOLCXAQOGxjjt6tXLWFhYqEkngI1NZCdaMzMzQkKCCQ8P//9+Dibs2bOTSpWqkjdvvmSJ1cPDA1tbW8zMIlMJjUZDrly58PB4Gy3x9PB4S+7c/402kzt3XrXD1Hff9WPOnBkEBQUxePBwHj16wOvXrxg8+PtkiVvnTUgwb0NCYp2e29KSPJYZkjWG9MhoEs+hQ2P+ocZk8eLFSf7+T58+RVEUpkyZQqFChXj48CHjx48nKCiIX375BQB/f3/69OlDtWrVmDx5Mg8fPmTs2LFkyZJFxhcVQoh07vbtm/j5+VG9unOM0//99xnZsmVj4sQxvHjxnNy58zJ06Ajy5ctPu3admDFjEnv37qJTp24EBPhz6tRxtTYyNfvqq8IsWbIKiOyP8eOPQxk/fgpHj/6PU6eOkzmzFUOH/kCWLFmS9H1Xu7sz/emTWKf/WuRrxhctlqTvKYwo8TR0dXzNmjWpWbOm+rxAgQI8e/aMLVu2qInnvn37CAsLY8aMGVhYWFCsWDHu37/PunXrJPEUQoh0zsVlL40bN1VrED8VERHOtWtXWbFiHUWKfM2ePX8zYcIY1qzZiJ2dnV6SOW7cLwwdOoLr16+yZ8/fmJtbMHDgUL1ax9gcOuTCtm2Rl//bt+9Es2YtY5wvV65ceHl5ER4ejpmZGYqi4OHhEWNnp1y5cvPq1Uv1+du3r2Ocb/v2LdSpUw8rK2vWr1/Dn39u4fDhg+zYsYU+fQZ8NvaE6FugAM1z5gTgQYA/vW7f5s8yZXDIHNlML7eMgpMsjCbxNMTl9c/x8/Mja9b/2uncuHEDJycnvUvvzs7OrFq1Cl9fX715hRBCGKeYErvAwEBOnDgWY8ccnVy5cmNv70CRIl8D0KhRM+bNm60mfjqnTh0nX778FCvmQNeu7Vi1aj1ubvdZvXo548ZN/mx8TZo0V3uWxyV7dhvs7R04cuQQTZu24NSp4+TIkTPaZXaAWrXqMnhwX3r37o+NjS179uykfv2GevO8fv2KK1cuMW/eQgICAggPj0Cj0WBiYkJgYOBn40moPJYZol1Kd8hshWMM7WtF0jGaxPNT4eHhXL58mRcvXtC8eXOsrKzw8PDAysqKzJkzJ/v7P3/+nL/++kut7QTw9PQkf/78evPZ2dmp0xKSeJqbm6qPIyIUIiK0mJqaYGqqiVKuJSJCwczMBBOT/8rDw7VotQrm5qZEHe40LEyLoihYWPy37MjyCBSFaOWhoRFoNPqx/FeuwdzcRC1TlMjlmJhoMDP7r1yrVQgP12JqqlEblcs6yTrJOsk6GfM6tWjRkiZNmuut06FDxyhWzJ5Chb6KdZ2cnb9h2bJFfPjgRc6cOTl16jyFChUmY0ZLdZ38/PzYsWMr8+cvwsLClJCQYCwtzbGwMCUoKDJ5S+g6zZ07g/Pnz+Ll5cWPPw4jU6ZM7NixFzMzE379dTyTJ09g48Z1ZMqUmXHjJqrLnzZtMs7Otahe/RsKFizIgAGD1J7xjo4V+fbbtnqf06JF8xgx4ic0Gg3Zs2elceMm9OrViYwZMzF58swYYw8LiwDAxATQgG5DaBXl/5/qj+kdW7mOiUaDyf9PU9CNCw4a/pv/v/KopaD8/5OonzUk3XfPWGgURVEMHURSe/XqFX379uXNmzeEhoZy+PBhChQowLRp0wgNDWXKlCnxXtbcuXNZtWpVnPMcPHiQr7/+Wn3u4eFBt27dqFy5MtOnT1fLe/fuTf78+fXe//HjxzRr1izaMj7H09MP4/vkhBAifRo4sDctWrSKdll79erl2NnZ0apVOwAuX77I0qULURQFKysrfvzxF77+uqg6/2+/TadevYZUrFgJgH37drNt2ybMzMwZM2Y8xYuXTLmVSiEmJhqy+HmjnTQJ3rxJ1DJcP/pS7eIFLlStlvgazzx5MJk0iY/WNmi1SXuA1mjAzs44evgbZY3n9OnTKV26NHv37qVKlSpqeYMGDRg/fnyCltW7d29at24d5zwFCvx3WcHDw4MePXrg6OjI1KlT9eazs7PD09NTr0z3XFfzKYQQIv1ZvnxtjOV9+w7Ue165clUqV64a63I+HWy9ZcvWtGwZ9zFMiJRklInntWvX2LJli15bSoB8+fLh4eGRoGXZ2NhgY2MTr3l1SWepUqWYOXMmJib61e3ly5fnjz/+ICwsTB3c/p9//qFw4cLSvlMIIYQQRs/k87OkPVqtFq1WG6387du3yda+08PDg+7du5MnTx5++eUXvL29ef/+Pe/fv1fnadGiBebm5vz66688evSIgwcPsmHDBr777rtkiUkIIYQQIjUxyhrPGjVqsH79er1L3QEBASxatIhatWoly3ueP3+e58+f8/z5c71hlQAePHgARA75tGbNGqZMmUKbNm3Inj07gwcPlqGUhBBCCJEuGGXnordv39KnTx8UReH58+eULl2af//9l+zZs7Np0yZsbW0NHeIXk85FQgghhHQuSmuMssYzd+7c7N27lwMHDvDgwQMCAwNp164dLVq0IEMGuf2VEEIIIYQhGGXiCZH3rf32228NHYYQQgghhPh/Rpl4XrhwgaNHj/Lq1Ss0Gg358+enUaNGVKpUydChCSGEEEKkW0aXeE6YMIHt27eTNWtWvvrqKxRFwdXVlU2bNtGlS5cEj+MphBBCCCGShlElnkePHmXXrl3MmDGD1q1bq7fE0mq17Nq1i0mTJlG9enXq1atn4EiFEEIIIdIfoxrHc+fOnXz33Xe0adNG7z6sJiYmtGvXjp49e/L3338bMEIhhBBCiPTLqGo87927x+DBg2Od3rBhQ4YNG5aCEQkhhBAiJWhy2JHoQYwsIu8miJ0d2CbuFtaaHHLr6/gwqsTTx8eHXLlyxTo9d+7cfPjwIeUCEkIIIUSyUhRQMmdGM2Qoms/PHiOTO7fBZT8mAwZgUrpM4mPJnFnG2P4Mo0o8o94DPSampqaEhYWlYERCCCGESE6KovBRY4nG2jLRy/DPlFX9+9Ha5gtiiYxHxM6oEk+AP/74g4wZM8Y4LSgoKIWjEUIIIURyUxTli2oadcmioihJftchoc+oEs9KlSrx7NmzOOdxcnJKoWiEEEIIIURURpV4bty40dAhCCGEEEKIWBjVcEpCCCGEECL1ksRTCCGEEEKkCEk8hRBCCCFEipDEUwghhBBCpAhJPIUQQgghRIow2sTz6tWrjBw5ko4dO+Lh4QHAnj17uHr1qoEjE0IIIYRIn4wy8Tx8+DB9+vQhQ4YM3Lt3j9DQUAD8/f1ZsWKFgaMTQgghhEifjDLxXLZsGZMnT2batGmYmf03VGmFChW4d++eASMTQgghhEi/jDLxfPbsWYx3KLK2tubjx48GiEgIIYQQQhhl4mlnZ8eLFy+ilV+7do0CBQoYICIhhBBCCGFUt8zU6dChA9OnT2fGjBloNBo8PDxwdXVl9uzZDB482NDhCSGEEMLAPDze4uHxFoBHjx7o/QXIlSs3uXLlNkhsxkyjKIpi6CCSmqIoLF++nJUrVxIUFASAhYUFvXv3ZsSIEYYNLol4evphfJ+cEEIIkTJ++20Gc+fOinX6yJGjGTVqbApGFDuNBuzsrA0dRpIwysRTJzQ0lBcvXhAYGMjXX39N5syZDR1SkpHEUwghhEi8qDWeMUlNNZ6SeKZyY8aM4ddff8XKykqvPDAwkKlTpzJz5kwDRZZ0JPEUQggh/hMSEsKkSWN59uwZlpaWZM+enZEjx5A/f2TfDkVRWLt2JUePHsbCwpysWbOxaFHMQyxu3ryBQ4dcUBSFAgUKMXbsRLWD8q+//oyv7wfKlnVk5MjRAPj4+DB+/C/88cdSvdF0kooxJZ5G2bloz549hISERCsPDg5m7969BohICCGEEMmtZcvWbNmyk/Xrt/DNN7WYNWuqOm3Hjq08efKYjRu3sWHDNiZNmh7jMq5cucjBg/tZsWIdf/21AweH4qxcuRSAo0cPUaGCExs2bOPFi395+vQxAIsXz2fgwGHJknQaG6NKPP39/fHz80NRFAICAvD391f/+fr6cubMGWxsbAwdphBCCCGSmKWlJdWqOaPRaAAoVaoMb9++Uadv2bKRgQOHYm5uDoCtrV2My3n06BFlypQnU6bI5nnVqjlz+PBBAExNzQgODkar1RIWFoqZmTkXL/6DtXUWSpcuk5yrZzSMKjV3cnJCo9Gg0Who1KhRtOkajYZhw4YZIDIhhBBCpKQdO7bg7FwLgIAAf7y9vTh37jQnTx4HoFOnrtSr1zDa64oXL8Hu3X/j5eWJjY0tR44cIjAwgI8ffWnUqCnTp0/ku++6UrNmbXLkyMmsWVOZO3dBiq5bWmZUieeGDRtQFIWePXuyaNEismbNqk4zNzcnb9685MqVK9njCA0NpX379ri5ubFnzx5KlCihTnNzc2PKlCncvn0bGxsbunXrRr9+/ZI9JiGEECK92LBhLS9fvmTBgl8BiIiIICIigpCQEFatWs+bN68ZOLA3BQt+RbFi9nqvrVDBic6duzFq1A+YmJhQs2YdAExNTcmYMSPTpv2mzrtw4Ty6du3Jy5fubNiwDoCePftEW6b4j1ElnpUrVwbg+PHj5MmTBxMTw7Qk+O2338iZMydubm565f7+/vTp04dq1aoxefJkHj58yNixY8mSJQsdO3Y0SKxCCCFEWnXokAvbtm0GoH37TjRr1pLNmzdy+vRJ/vhjKRkyZAAgS5asZMyYiYYNmwCQJ09eypQph5vbvRiTxDZt2tOmTXsA7ty5Tc6cucicWb/D8r17d/Dx8aFGjW8YPLgv48dPQVEUZsyYzOLFK5NztdM0o0o8dfLlywdAUFAQr1+/JiwsTG968eLFk+29T58+zfnz51m0aBFnzpzRm7Zv3z7CwsKYMWMGFhYWFCtWjPv377Nu3TpJPIUQQogEatKkOU2aNFefb936F8eOHeaPP5Ziba3fC7x+/UZcunSBNm3a8/GjL/fv36VLl+4xLtfT0xM7OzuCg4NZs2Z5tPnCw8NZtmwRkyfPACA4OEht6hcYGJjEa2lcjDLx9Pb2ZsyYMdESP5379+8ny/t6enoyfvx4lixZop5lRXXjxg2cnJywsLBQy5ydnVm1ahW+vr56TQOEEEIIEX/v3nmwePEf5M2bj++/HwhENrNbtWo9AAMHDmHGjMns3r0DgK5de1KyZGkAVq9ejp2dHa1atQPgxx+HoNUqhIeH0ahRU9q21a8c2rx5A40bN8PGxhaAPn0GMnLkcACGDPk++Vc2DTPKxHP69Ol8/PiR7du306NHDxYvXoynpyfLli1j9OjRyfKeiqIwevRoOnXqRJkyZXj58mW0eTw9PcmfP79emZ2dnTotIYmnubmp+jgiQiEiQoupqQmmppoo5VoiIhTMzEwwMfmvPDxci1arYG5uiua/YsLCtCiKgoXFf8uOLI9AUYhWHhoagUajH8t/5RrMzf9r6qAokcsxMdFgZvZfeeQPW4upqQZT0//KZZ1knWSdZJ1knWSdErJO+fPn5fJl11jXKUcOW2bP/j3Gderbd6DeOm3d+nec69SjR2+9dapTpzY1a9ZM1s/JWBhl4nnp0iWWLl1KmTJl0Gg05M2blxo1amBlZcWKFSuoXbt2vJc1d+5cVq1aFec8Bw8e5Pz58wQEBDBgwIAvjD5+dF/MqCJ/yNHnDQ/XxrqMmISGxr9cUWIrV2Is12pjLo/cOcVULusk6yTrJOsk6wSyTpB+1ylqwprWGWXiGRgYqI7XmTVrVry9vSlcuDD29vbcu3cvQcvq3bs3rVu3jnOeAgUKcPHiRW7cuEGZMvrjeLVt25YWLVowe/Zs7Ozs8PT01Juue66r+RRCCCGEMFZGmXgWLlyYZ8+ekT9/fhwcHNi2bRv58+dn69at5MiRI0HLsrGxideg8+PGjWPEiBHq83fv3tGnTx9+//13ypUrB0D58uX5448/CAsLUwew/eeffyhcuHCC23ca09mPEEIIIWJnTMd8o0w8e/Towfv37wEYOnQoffv2Zf/+/ZibmzNr1qxkec+8efPqPc+UKRMABQsWJHfu3AC0aNGCJUuW8Ouvv9KvXz8ePXrEhg0bGDNmTILfz9bWOO7ZKoQQQoj0Q6Mon7YUND5BQUE8ffqUPHnypNgtM1++fEm9evXiHEA+e/bsdOvWjf79+6dITEIIIYQQhpQuEk+dkJAQ/vrrL/r06WPoUIQQQggh0h2jSzy9vb25efMm5ubmVKtWDVNTU8LCwti8eTMrV64kPDycS5cuGTpMIYQQQoh0x6gSz6tXrzJw4ED8/f3RaDSULl2amTNnMmTIEExNTenevTutW7eOcXB3IYQQQgiRvIwq8ezevTs5c+ZkwIAB7N69m3Xr1lGoUCF++OEHGjdubOjwhBBCCCHSNaNKPKtUqcKmTZsoWrQowcHBODo6smjRIurXr2/o0IQQQggh0j2Tz8+Sdvj6+pI9e3YAMmTIQIYMGbC3tzdwVEIIIYQQAoxwHM/Hjx+rY3gCPHv2jMDAQL15ihcvntJhCSGEEEKke0Z1qb148eJoNBpiWiVduUaj4f79+waITgghhBAifTOqxPPVq1fxmi9fvnzJHIkQQgghhPiUUSWeQgghhBAi9TKqzkUieX3aVlYIIYQQIiGkxlPES0REBI6Ojly7dg1zc3NDhyOEUYuIiMDU1NTQYcRbhw4dWLZsGba2toYORY+/vz9Hjx7lwYMHBAQEkDlzZuzt7WnQoAHW1taGDk+PxCrSC0k8Rby1aNGCdevWYWdnZ+hQ4u3OnTscOXIEgPr161O2bFkDR6TP3d2dvXv3RtuBt2rVigIFChg6vFil9u169epVdu7cGW27tmvXDicnJ0OHp/Lz82P27Nk8f/6cvn37kj9/fgYNGsTr16+pWrUqc+bMUYeISw1mzpwZY/nWrVtp2bIlmTJlYsyYMSkcVcxu3LjBgAEDyJEjB8WLFydLliz4+fnh5ubG+/fvWbFiBeXKlTN0mIDEmpzS6j7WmEniKeJt06ZNuLi40K9fP/LkyYNGo1GnpZYhqipXrszly5cBOH36NN9//z116tTBxMSEEydOsGDBAmrVqmXgKCOdOHGCn376icqVK0fbgV++fJl58+ZRp04dQ4cJpK3tumPHDn777TdatGhBiRIlsLa2Vreri4sLP//8M+3atTN0mACMGTOG0NBQTExMOHbsGH369KFWrVqEhYUxf/58ihYtyqRJkwwdpqp48eJUqFCBQoUK6ZUfOHCAunXrkjFjxliT05TWunVrunTpQvv27aNN27FjB5s2bWLPnj0pH1gMJNbkkZb2semKIkQ8OTg4xPivePHihg5NVb58efVxx44dlf3796vPDxw4oLRv394QYcWoUaNGysmTJ2OcdurUKaVhw4YpG1Ac0tJ2rVOnjnLz5s0Yp928eVOpXbt2CkcUuxo1aij+/v6Kn5+f4uDgoLx580ad9uLFi1QVq6IoytmzZ5XGjRsrS5YsUcLCwtTyKlWqKG/fvjVgZNGVK1dOCQ0NjXFaaGioUq5cuZQNKA4Sa/JIS/vY9MQoOxd5enry888/4+zsTMmSJSlRooTeP5E4bm5uMf5LTeOiRq2Fff78OY0aNVKfN2zYkH///dcAUcXs7du3VK9ePcZp1apV4+3btykcUezS0nb18fHBwcEhxmn29vZ8+PAhZQOKQ1BQEJkzZ8bKyorMmTOTO3dudVqBAgVSVawAzs7O7Nq1iw8fPtC6dWuuXbtm6JBiVahQIfbu3RvjtH379lGwYMEUjih2EmvySEv72PTE6O5cBDB69GjevHnD4MGDyZkzp6HDMToeHh68efOG8uXLGzqUaCIiIjhx4gSKomBqaopWq1WnabVawsPDDRidvhIlSrBy5UoGDRqk15EkIiKClStXUrJkSQNGpy8tbddKlSoxdepUfvzxR2xsbNRyb29vfv/991TVxjN79uz4+/tjZWXF5MmT9aZ5e3uTMWNGA0UWu4wZMzJ27Fhu3rzJ+PHjKVeuHBEREYYOK5oJEyYwaNAg1q9fT4kSJdTLrPfv38fDw4Nly5YZOkSVxJo80tI+Nj0xyjaejo6ObN68WWo3k9i7d+/48ccfuX79OpaWlri6unLw4EH++ecfpk2bZujwAKhbt67e8zlz5lCxYkUgssPJtGnTUk37oydPnjBo0CB8fX0pWrQo1tbW+Pv78+jRI7Jly8bSpUv5+uuvDR0mkLa2q+576urqSo4cOdTt+u7dOypUqMC8efNSzQnpypUrady4cYy1RFu3buXChQssWLDAAJHFT3h4OCtXruTChQssXLgwVXWEAvD19VV7XwcGBpIpUyYcHBxo0KABWbNmNXR4eiTWpJeW9rHpiVEmnk2bNmXu3LlyNpPEBg8ezFdffcXw4cNxdnbmypUr+Pj40K5dO44fP27o8D7rzZs3BAYGpqodTXh4OFeuXIm2A69UqRJmZmnjgkRq3K4AL1684OHDh2pPVgcHhzTdi/XatWtqsi+EiB9j2McaG6NMPM+dO8e6deuYPHky+fPnN3Q4RqNq1aqcO3cOMzMzvV7OFStWTNVtvYQwBhUqVOD69euGDoMPHz7w4MEDihYtGm3cThcXF5o3b26gyKJ79eoVr169wsnJCRMTE/bv38/z58+pXr06FSpUMHR4ep48ecKTJ09wcnLCxsaG06dPc/bsWUqWLEmbNm0MHV68aLVa9u3bR6tWrQwdikjFjDLd/+GHHwgKCqJBgwZkyJAh2oDnuoRJJIy1tTW+vr56B5u3b9+munE9t2/fzsOHD6lduzbOzs7MnTuX06dPU6pUKUaPHk22bNkMHaIqLY0xl1bGxoTo34F58+Zx6tSpVPkdiK/UUEdw/fp1+vfvj6mpKQEBAQwcOJChQ4eq0ydMmJBqEs9jx47x888/o9VqqVChAjVr1uTixYuEh4ezfPly/vjjD+rXr2/oMIHIhH3s2LHkyZMHPz8/xo4dy9y5c6lRowYLFizg9evXets5tQoPD2fMmDGpKvFMSydK6YVR1nju3r07zumtW7dOoUiMy4IFC7hx4wajR4+mW7dubN++nVmzZuHo6MjAgQMNHR4A8+fP58CBA1SvXp1//vmHOnXq8OTJE1q1asW+ffuws7Nj9uzZhg4TSFtjzKWlsTHT0ncgIVJDjWeXLl1o3bo17du358GDB/z00084OTmpY406Ojri6upq0Bh1WrduzYQJE9BoNHTq1IkVK1aoY83u2rWLbdu2sW3bNgNHGalp06aMHz+eatWqcfbsWYYMGcKOHTtwcHDg0aNHDBgwgBMnThg6TIA4m1WFh4czYsSIVDPSyedOlFLDbypdMtAwTiINCgsLU2bPnq2UL19ecXBwUMqXL6/MmjVLbzw/Q6tZs6by8uVLRVEU5fnz50rx4sWV9+/fK4qiKF5eXkqNGjUMGZ6etDTGXFoaGzMtfQcSwtHR0dAhKJUqVVK0Wq363NfXV2nfvr3y66+/KlqtVm+8V0NzcnJSH5cqVUpvPxUaGqpUrlzZEGHFqEKFCupjrVarlCxZUm96avjsdRwcHJTatWsrderUifFfahrXuXPnzsr27dsVRVEUNzc3pVmzZsrEiRPV6anp+5qeGM2ldt2QJLrHcdHNJxLGzMyMUaNGMWrUKLy9vcmePbve+I6pQUBAAHnz5gUgb968mJiYqEPqZM+enZCQEEOGpyctjTGXlsbGTEvfgbTGwsKCDx8+qL3Xs2TJwpo1a+jbt2+quVWmjonJf8NUFylSJFpHktQ0BJidnR1XrlyhUqVKXLhwATMzMx4+fIi9vT2PHz/WGxbM0PLmzas3qkVUISEhqWqYvcePH6tXYhwcHNi8eTN9+/Zl3LhxTJ061cDRpV9GM4B8pUqV8PLyAsDJyYlKlSpF+6crF1/OxsYm1SWdAF9//TWrV6/m/fv3rFy5khw5cqiXhk6cOJGq2k3qxpj7dAzE1DjGnG5sTG9vb71yb29vpk+fnqraeKal70BCKKmgVVT58uU5duyYXpm1tTVr1qzh2bNnBAcHGyiy6AoXLszz58+ByIHNo7p79y758uUzRFgx6tu3L9999x2NGzdm3rx5/PDDD/Tr14/x48fTr18/OnToYOgQVaVLl+bu3bsxTtNoNOTJkyeFI4qd7kRJR3ei9OjRo1R3opSeGE0bz8uXL1OhQgXMzMy4dOlSnElR5cqVUzCytK148eLxSjBTS5ueq1evMmTIED5+/Ejbtm1p3LgxgwcPJk+ePLx794758+enmnaTaWmMubQ0NmZa+g4kxNWrVw2e4P/77798/PiRsmXLRpvm7+/PsWPHUk3HEg8PD7JkyRLjIPxXrlwhMDBQbfOZGty/f5+XL1/i7OxMxowZ2bFjB25ubpQvX54WLVoYOjxVWFgYQLROu6nR0KFDqVWrVrT7yvv7+9OnTx9u3bqVao5d6YnRJJ4Q2UM4rdZmpFZubm7q4ytXrrBnzx769OlDvnz5ePXqFWvXrqVVq1Z069bNgFHq02q1+Pn5qQMZP3v2jIcPH1KqVKlUN7xWWhtjzt3dXa9Xe2odGzMtfQcAunfvHuMJnoWFBXnz5qVJkyZUq1bNAJGlD/3792flypWGDsPoGHq7pqUTpfTEqBLP4sWLkzdvXqpUqULVqlWpUqWK3r2PxZdp2rQp69evJ0eOHGqZh4cH3333HQcPHjRgZInTokUL9u/fb+gwjE5a2q6pJdY5c+awc+dOmjZtSp48eXjz5g2HDh3i22+/JTAwEBcXF0aOHEmXLl0MHWqaGlYrvlJr7+YOHTqwbNmyaMMApRWpdbvGJLXsC9KD1Fel8gXWr1/P5cuXuXz5MuPHjycsLIwCBQqoSWiVKlVS3ZiTacn79++jXbbKlCkT7969M1BEX+bly5eGDiFWERERLFu2LE2M3fep1LxdP5VaYr1z5w4rV67Uq5lp1aoV8+bNY/369TRp0oTJkycbPPGMOqxW586d9YbVGjJkSKoaVistmTlzZozlDx484I8//iBTpkzSJjGZpZZ9QXpgVImnLrmEyN51169fVxPR3bt3Ex4eTpEiRThw4ICBI02bqlevzvDhw/nhhx/Imzcvr169YuHChbH2zE7tUmPnKJ2IiAiWLFmSJhPP1LxdP5VaYr1z5060zmQlS5bk9u3bQORdwzw8PAwRmp5ly5axZs2aGC9dfvvttwwfPlwSz0RYv349FSpUoFChQnrliqLg5+eXqnrgG6vUsi9ID4wq8YzK0tKSatWqUbFiRapUqcKZM2fYtm0bT58+NXRoada0adOYOnUqnTt3Jjw8HDMzM5o0acK4ceMMHVqatGHDhlinfdrTXRi3okWLsnLlSgYOHIiJiQlarZZVq1ZRtGhRILJJi7W1tYGjTFvDaqUlq1evZvr06Tg7O9O/f3+1fffJkycZM2YMuXLlMnCEQiQdo0s8Q0NDuXnzJpcuXeLSpUvcunWL3LlzU6lSJcaPHy892r+AtbU1v/32G7NmzcLHx4fs2bPrjZUnEmbmzJmUK1cuxt6hRtT0WsTD9OnTGTRoEH/++Sc5cuTA09MTa2trli5dCkReBvzxxx8NHOV/w2r9+OOPemNLent78/vvv6fZNp6G/r05Ozuza9cufv/9d1q3bs2kSZNiHCczrTH0dhWpk1Elnj169ODWrVvkz5+fSpUq0alTp1Q1zIuxMDExSbON3aMy9E6xUKFCjBgxgqpVq0abFhISQrly5QwQ1Zcz9HZNiNQSa9GiRTl06BA3bvxfe3ceFfV1/g/8PTKAEOoCKiLJD60btW7sEGOlkPSrBihqo0ajNgJCiBixGiUqImrEuMXWBTW2sS6J0RoVTNNvXKLBsghfq8aIWkMWEUZGjRFQZsD5/cGZCeOwfDDKvQ/zvM7xHPuBc/r09np5+My97/sf3LhxA126dMHgwYNNb758fX2laOqWLl2KWbNmYejQoQ3GalEkw9g6ODjgrbfewtmzZ7Fw4UIMGjSI/CcfMoyrUrKsBdagVTWeBQUF6Ny5MwIDA+Hv7w8/Pz/TDRvs0QQHB+Pzzz8HUPu2o6F9MHl5eS1Y1eMREREh9L/f398fX3/9db2NZ5s2bchediB6XJtDplrVarX0P6i7dOmCnTt3konVAoATJ06ge/fu8PDwwLVr17Bs2TKo1WrMnz/flHqydetWwVX+ZNCgQdi/fz+2bNkCT09P2NnZiS6pXtTGtSkyrQWtXauKU6qsrER+fj7y8vKQm5uLixcvokePHvDz84O/vz/8/f2lunqMgrqh1Y01l7JtYdi3bx8GDhyIPn36oLCwEHPmzIGtrS2WL1/e4B411rQDBw7U+9zOzg5ubm4YMGCANPmj1OZAZmYm8vLycPv2bbO3L+vXrxdYFX3Dhw/H+++/j65du2LGjBmwtbWFo6MjysrKkJ6eLrq8ZhOdjWlEaVwprVvWoFU1ng8rLy9HQUEBcnNzkZeXh8LCQnTv3h2ZmZmiS2NPWGhoKPbu3QtnZ2dERUWhb9++cHR0RG5uLnbs2CG6vGaTJWMuMjIS//3vf+Hg4IDOnTujrKwM9+7dQ48ePVBcXIyOHTsiPT0dvXv3Fl0qqTmwbt067N27FyNHjsSePXswbtw4ZGZmYuTIkWQO71VXV2PhwoUNRgOJ4uvri/z8fFRXVyMoKAjHjx+HnZ0dhg4ditzcXNHlNZss2ZiUxpXSumUNWnWL7+joiA4dOqBDhw5o37491Go1rl69KrosUho7eV3X5MmTn3AlzXP79m04OzujqqoK//nPf7Bp0ybY2Ngo/t8jG1ky5oKDgxESEoL4+Hio1WrU1NRg48aNePDgAeLj47Fy5UqkpqZK0dhRmgMHDx7Ee++9B09PT+zfvx9vvfUWXnzxRWzevFl0aYo9ePAABw4ckK7xbNu2LbRaLS5fvoxf/vKXcHJygl6v54iin4nSuFJat6xBq2o8Hzx4gC+//NJ0ov3//u//cO/ePbi6uiIgIADJycmmnE+mzGeffdbk96hUKukaz/bt2+Obb77BlStX8Otf/xp2dnaoqqrCgwcPRJf2SGTJmPvwww+RlZVl+ljKxsYGr732Gp577jm88cYbmDlzpjT3X1OaAz/88AM8PT0B1O71rK6uxqBBg6TbO91YUynrQZjf//73+MMf/gCdToeEhAQAtbmpsu5JpYLSuFJat6xBq2o8fX19ce/ePXTq1AkBAQFISkpCQEAA/t//+3+iSyOL6m+AkydPNt3Bm5aWBqD28FnPnj0FVkVf27ZtUVhYiP79+5ueFRYWwt7eHkDtgi4LSnPA3d0d3377LTw8PNC9e3ccPnwYHTp0sLgpTLSdO3ciNDQUTz31lMXXZG0858yZg2effRZqtdr04kGtVmPu3LmCK6ON0rhSWresQatqPN98800EBASgR48eoktplUpKSvDUU0+hXbt20Ol02L17N9RqNcaPHy/dxuxXX30Vv/3tb2FjY2P6DdzNzQ1LliwxfU9paanp9CVTJioqClOnTkVERAS6du2K0tJSZGRkmG5YOnnypDSfKlCaAzExMfjuu+/g4eGB119/HTNmzIBOp8PChQtFl2bml7/8JV566SUMHTrU4mtVVVU4dOiQgKqaNmTIEGg0Gpw7dw6urq4YMGCA6JIemUzHMqiMK6V1yxq06sNF7PEaM2YMli1bBk9PTyxbtgw5OTlQq9Xw9vaW7gekErJs0lfCy8sLZ86cEV0GACA7OxuZmZmmvMmwsDAEBQWJLuuRyDoH9Ho9dDpdvW8WRVq3bh08PDxMb5LrkvVw0Y0bNzBnzhzk5ubCzs4Oer0efn5+WLlyJckbgWJiYqSIKaI2rq1p3SLPwJhCvr6+hgcPHhgMBoNhyJAhhmvXrhlu3bplGDJkiODKHs3gwYNFl6BYcnKysP/uN954w/T3ffv2CavjSZBlDoSFhdX7PCIiooUraX2ioqIMc+fONWi1WoPBYDBotVrDvHnzDFOnThVcmaXPP//c8M033xgMBoPh+++/N8TFxRmmT59uKCkpEVyZJdnHtTWvW9TxfYdMMZVKBb1ej8LCQjg5OcHd3R0dOnRARUWF6NIeiSwHdvbt24fLly8DqN13FB4ejtGjR+PSpUum71m8eLGo8pCVlWX6+7Jly4TV8STIMgcaSi0oKSlp4UoeH29vb9ElAADOnDmDxYsXm25bc3FxwaJFi3D27FnBlVlavny5ad/hO++8Y0pmSUlJEVtYPWQf19a8blEn18Y8JjV/f3+88cYb+OGHH/DCCy8AAL799ttWcX2mSJs2bcLevXsBACtXrsTQoUPh6OiIpUuXSnG4q1+/foiKikKvXr2g0+ka/Cg1KSmphSujzziW1dXVFuP6/fff4+mnnxZR1mNhkGQXl4eHB0pKStC9e3fTs5KSEikPnWq1WnTt2hXV1dXIzs42y8aUjezjyuuWvLjxZIotW7YMf/3rX6FWqxEdHQ0A+OabbzBp0iTBldEme97ku+++iz179pjeyv3444+CK2o9jGNpMBjMxlWlUqFXr16kfyjK8jb5d7/7HaKjozFhwgS4ubnh+vXr2LNnD8aMGYOjR4+avi80NFRglbUoZWPKPq68bsmLG0+mWPv27ZGYmGj2LDg42Ow/y3KdmxKyvJGRPW/S2dkZr732GoDa28BkOzzyc4ieA8ax7NevX5O/wGVmZiIsLKwlympVPvroIwC1UVB17dmzx/R3lUolReNJKRtT9nFtzesWdXyqnT1WMp4SvnXrFpydnS2eZ2RkIDw8XEBF5v72t79h3bp1AGrzJocPH45///vfWLdundkiLgONRgN7e3t06NDB9OzOnTu4f/++lCdZjWSfA0rI+G+rMdTqlcWpU6fMsjHPnz+P8vJyPoH9M1Bdt1orPlzEWqXy8nIkJSVh4MCBGDJkCAYOHIikpCSUl5ebvkeWhuPVV1/FgQMHkJGRgeHDhwOoP29SBtOnT7eo5fr165gxY4agihpGaQ4oQe0dgUz1VldXo6CgAJ988gkAoLKyEpWVlYKrqt+QIUPQvXt3nDt3DhqNBgMGDJC26aQyrpTWLWvAjSdrlZKTk3Hjxg3s3LkTX3zxBXbu3ImysjJp80a7d+9u9nFajx490KdPH9N/HjlypIiyLHz99demqx2NPD09cfXqVUEVNYzaHGiKLHsmlYqLixNdAgDg6tWrGDlyJBITEzF//nwAtZmOCxYsEFyZpRs3bmDKlCkYNmwYXnnlFQQHB2Py5MnQaDSiS7NAaVwprVvWgPd4slYpKysLx44dg5OTEwCgU6dOWLNmjRT7uB6FLG+P2rdvD61Wi06dOpmeabVaODo6Cqyqfq1tDsikpqYGGRkZ+PLLLy3i1Ix76WJjY0WUZmHx4sWYPHkyXnnlFfj5+QEAAgICkJqaKrgyS2+99Rbc3Nxw6tQpuLi44ObNm1i1ahXeeustbNu2TXR5ZiiNK6V1yxrwG0/2WMnSIDk7O+P+/ftmz+7fv082+kmWt13BwcFISkoyvYHRaDRYuHAhQkJCBFdmqbXNAZksWLAA7777LqqqqvCLX/zC7I9sCgsLMWHCBAA//TtycnKSMn9Y9mzMuiiNK6V1yxrwG0/2WPn6+oouAQAwYcIExMXFISYmxhT1sW3bNkycOBGFhYWm73v44xfWuFmzZmHevHkYNmwY7O3todPpEBoaitmzZ4suzUJrmwOy/FIHAEePHsXhw4fRuXNn0aU0ycXFBcXFxWZbWYqKitC1a1eBVdVP9mzMuiiNK6V1yxrwqXbWqLo/oBsj2w9vJfWoVCpcvHixBar5+WQ7IXzz5k0UFxfD3d3d4g1iaWmpFD98WtscKCkpgZubm+gyANRmOB48eBAODg6iS2nS3//+d+zfvx8zZszAnDlzsG7dOqxbtw6jR4/Gyy+/LLo8M+np6di3b1+92Zi9evUyfZ8M20UojasRhXXLGnDjyRrl6ekJlUrV6NsWSj+8qfLy8sKZM2dEl6GIbE0yBVeuXMGSJUtw4cIF06lgg8Eg7b+tgwcP4osvvsD06dPN9s0BMO2plcmuXbvwwQcfoLi4GG5ubpgwYQJeeeUV0WVZUPLRr0qlMgtoF4nKuCrB61bL4caTMYm0hrxJSk2yLEaPHo3+/fsjMjLS4sCDbJ8mAOY1Gff3ydwoM9YUXrdaDu/xZM1WVlaG0tJSuLm5WbztkMXNmzeRnp6Or776yiJX7uOPPxZUVf3Ky8uxbNkyHD58GHq9Hra2tnjxxRcxf/5809sjKk0nIM9BKEpz4JtvvsG+ffvQpg2N856yvHFToqE3Wf7+/sjLyxNQUeOqq6tx9uxZaDQajBw50jR3ZTuBTW1cmyLLumUNuPFkit26dQtz5szBqVOnYGdnB71ej2effRYrV66s9y2dSDNnzjQ1cLLvQ0tOTsadO3ewc+dOdOvWDdevX8ef//xnLFy4EGvXrhVdHlmU5oCXlxf++9//mmW3yszd3R1A7VvOsrIydOnSRXBFDavvQ72amhoBlTTt6tWreO2113D//n3cvXsXI0eORHZ2Ng4fPow1a9aILs8MpXFlcuHGkym2dOlStG/fHidPnkSXLl1QVlaGtLQ0pKam4t133xVdnpmvvvoKOTk5sLW1FV1Kkzhv8smgNAd+/etfY9q0aYiIiLD4FGHy5MmCqmpYeXk5UlNT8cknn0CtVuM///kPjhw5ggsXLuCNN94QXR6A2ttqAECv15v+bnT9+nX07dtXRFmNopCNSXFcmVy48WSK5eTk4OjRo6a3R507d0Zqaiqef/55wZVZGjRoEL777jv07NlTdClNMuZN1j2UQTlvUpZt45TmwJkzZ/DMM89Y7DFTqVRSNp5Lly5FTU0NMjMz8dJLLwGoHe+VK1dK03ga96F+/vnnFntShw4darqeViaFhYV4//33AcibjUlxXJWQZd2yBtx4MsXs7e3x448/mn1seffuXdjZ2Qmsqn4rVqxAYmIifHx8LBo42X6Qt7a8SVnezlCaAzt27GjyewoKCuDj49MC1TTtiy++wNGjR9G2bVtTg9S5c2fcvHlTcGU/Mb6N8/T0lPKX4/pQyMakOK5KyLJuWQNuPJliYWFhiImJQXx8PLp164bi4mJs3rxZyoMv27dvx9mzZ1FVVYW2bduansv4Buntt98GAIs3RefPnzf9XZbTwklJSfU+t7OzQ7du3fDCCy9IMx8ozQElYmJipIl7sbOzQ3V1tdmz27dvo3379oIqapitrS2+/fZbeHh4oLi4GEuXLoVarcb8+fOlaugA4OWXX0ZCQgJmzJiBmpoaZGVlYd26dZg4caLo0ixQGldK65Y14Dglplh1dTXS09ORkZFhCtsNDw9HbGysdPvovL29sXfvXhIfs1Iyf/58ZGRkICgoCG5ubigpKUFOTg5GjBiBsrIy5ObmYu3atXjhhRdEl9rq5oBMcS+pqam4e/cukpOTERoaiqysLKSkpKBdu3aYN2+e6PLMDB8+HO+//z66du2KGTNmwNbWFo6OjigrK0N6erro8ixQycakNK6U1i2rYGBMAb1eb0hLSzPcv39fdCmKhIaGkqmVkoSEBMPnn39u9uzEiROGhIQEg8FgMGRmZhrCwsJElGahtc0BLy8v0SWYVFRUGGbMmGH41a9+Zejbt6+hX79+hoSEBENFRYXo0ix4e3sbDIbaNczX19dw9+5dQ1VVlcHf319wZbRRGldK65Y1oBEax4RTq9XYv3+/dG82G/Laa68hOTkZ3377LcrLy83+yObmzZtYtmwZJk6ciFGjRpn9kc2pU6cwdOhQs2dDhgxBVlYWgNq3INeuXRNRmgVKc4AaR0dHrFu3DllZWdi7dy9OnDiBP//5z9JlTQKAg4MDtFot8vLy8Mtf/hJOTk5QqVQWWwVk4O3tXe9zf3//Fq6kaZTGldK6ZQ14jydTbMSIETh06BAiIyNFl9Kk+fPnA6i92k/2m1Uo5U1269YNBw8eNGuKMzIyTLmOP/74o9l+SpEozQGqnJ2dpcvwfdjvf/97/OEPf4BOp0NCQgIA4MsvvzQ7wCMLA6FsTErjSmndsga8x5MpFhcXh6ysLPTu3Rtubm5mt6ysX79eYGWWiouLG/yacbGRhY+PD5m8ydOnTyM+Ph5du3Y17ZUqLS3Fhg0b4O/vj1OnTuHChQuYNm2a6FJJzQElRO/xjIyMVHS7i2y3QgG1b7zUajUCAgIA1B7cKy8vR1BQkODKahlPin/++ecIDg42+9r169fx1FNPKUo+aGmyj6sRpXXLGnDjyRRrrLl8OEhYFgYCN6tMnToV8+fPJ3MI5scff8Tx48dx48YNdOnSBcHBwVKeZjaiMAeUyM/Ph6+vr7D/fqUNpYxbRJrS0PWPLcW4tqanpyMuLs70XKVSoVOnThg+fLjU/8YaInpc66K2brVm3HgyxYwn2ZU+F4nCzSpGZWVlZPImKaE0B+qj1+sRFRWFv//976JLeSQpKSlISUkRXYYiot8mGx05cqRVZWPKMq5MLrzHkyk2cuTIen97jYiIQF5enoCKGkbhZhUjanmTZ86cQV5eHm7fvm22J62hrDxRKM2B+hgMBpw+fVp0GY/s0KFDZBpPJVsIWgKlbEwlZBlXgM66ZQ248WSK1fdyvKqqSqrFxYjCzSpGu3fvxoEDB0h81L5r1y688847eO6553Dy5En85je/walTp6S8V57CHGhsi8qDBw9asJLHjz9Ma77ly5ebrsxcsWIFHB0d4ejoiJSUFOmyMSmhtG5ZA248WZOMhwp0Op3F/q2ysjKh+84aQulmFWdnZzz99NOiy1Bk+/bt2Lp1K/z9/eHn54cNGzbgxIkT+PTTT0WXZoHCHDhx4gTGjRuHDh06WHxNr9fj+PHjLV/UYyLjL6SyKysrQ9euXVFdXY3s7GwcP34cdnZ2FlFArHkorVvWgBtP1qQpU6bAYDAgJSXF7KNf48b3wMBAgdXV77e//S0WL16M5ORkAIBOp8PKlSulvJnCmDcZHx9vscfTyclJUFX102q1pkzBNm3awGAw4De/+Q3efPNNwZVZojAH+vTpg6CgoHrfvFRVVWHz5s0CqrI+srydNWZjXr582ZSNqdfrpczGVEKWcaW0blkDbjxZk4xvOX/1q1/hV7/6leBqlJk9ezaSkpIQEBCABw8ewMvLC6GhoaZsR5lQypvs3LkzNBoNXF1d4e7ujtzcXDg7O0v5dovCHBg9enSDP5zVarW0aRGtTd2T5CJRysZUQpZxpbRuWQM+1c6a5fTp07hw4YLF7S+y/oC8deuW6c7jTp06iS6nXpTyJt9//324u7vjhRdewKFDh0wb82NjYzFjxgzB1dWPwhxojcLCwpCZmSm6jAZj4Ozs7NCtWzcMHTpUqu0XVLIxKY0rxXWrNePGkym2cuVK7N69G15eXmY37KhUKukC5KdNm4YtW7ZYPI+Li5N2kz7FvMmSkhJUVlZKeTCK0hygVCtQG2peHzs7O+mae+PFF927dzeFh3/zzTcIDAzEtWvXoNVqkZ6eLuVe9frIko1JeVxlXresAX/UzhT7xz/+gX379pH4x5qfn1/vcxkW7IdRypt8uEFyc3MDIGeDRGkOUKoVAEJCQiy2hRjZ2trif/7nf7BgwQIp3nh17twZixYtMkVqAcC+fftw7tw5vPfee/jrX/+KtLQ07Nu3T2CVysnyrojSuFJat6wBN55MsbZt20q/18gYtl1dXW0RvP3dd99J9zYGoJU3SaFBojQHKNVa19KlS3HkyBG8/vrr6NatG4qLi7Fp0yYEBwejT58+WLNmDZYtW4Z33nlHdKn49NNPsXjxYrNno0aNwooVK5CamopXXnkFGzZsEFRd88myL5HSuFJYt6wJN55Msddffx1r165FYmIi7OzsRJdTr88++wxA7Q9y49+B2pOMnTp1QlpamqjSGkQhb5JSg0RpDlCqta709HQcOHDAlLrg4uKCd955B6NGjcKRI0ewatUqjB49WnCVtTp27Ijs7GwMGTLE9Cw3N9cUYaXX66FW84/C5qIwrpTWLWvC/9qYYu+88w4qKiqwfft2i5gfWW4u2rFjB4Da8OW5c+c2+r0FBQXw8fFpibIaRSFvklKDRGkONKdWmdy9exdVVVVm60BVVRXu3r0LoPYXp3v37okqz8ysWbMQHx+PoKAg017E7Oxs05zNy8tDWFiY4CrpoTCulNYta8KHi5hijTWXxow0SmTZpJ+amoq7d+8iOTkZoaGhyMrKQkpKCtq1a4d58+aJLs8MhWauOWSZA3Vt2bIF06ZNE11Go5KTk/HVV18hNjYWrq6uKC0txXvvvQdPT0+kpqYiNzcXy5cvx4EDB0SXCgAoKirCP//5T9y4cQNdunTBiBEj0KNHD9FlPRKZ7j+nMq6tbd2ijhtPZrVkWcArKyuRlJSEzz77DA8ePICNjQ1CQ0OxfPlyPPXUU6LLazYZm7mGyDIH6qIwfjqdDhs3bsThw4dNTceLL76I+Ph42NnZ4datW6ipqUHnzp2F1Dd27Fh89NFHAGpjf2SNe3sUmzdvRmxsrJD/7tY8rhT+3bUW3HgyxR48eID33nsP+/fvN4Xxjh49GlFRUbCxsRFdXrPJttC0lrxJGZu5hsg2BwBa4ycrPz8/ZGdnQ61WS/n/cUNkz8akOq5K8L+7lsN7PJli69atw9GjRzF9+nQ888wzuHbtGtLT01FRUYHExETR5ZFljPpwdnaGs7Oz6TnVqA9ZTt1SJWPuYWMevkxChmte/f39ERkZie7du6OqqqrBN3Oy5Q9/+eWXjWZjpqSkCM3GpDquSvC61XK48WSKZWRkYNeuXaYMtEGDBsHLywsTJ07kxvNn4KgPVjcLc+vWrYKraVpxcTEWLlyIgoIC6HQ6s6/JcM3r2rVr8emnn+LatWv4/PPP4enpKbokRWTPxqQ6rkwu3Hgyxe7du4eOHTuaPevYsaM0p1ebS/QuE476EE/0HDDy9/eHv78/AgMDERQUhF69eokuqVGpqalo164dPvzwQ7zyyivYtWsX/vKXvyA4OFh0aQBqP5qOiIgAUHsCn8peRNmzMamOK5MLN55MsYCAACxcuBBJSUlwdnbGrVu3sGLFCpIn2gHxb5Zaa9SHLM2cEqLngNHOnTuRm5uL7Oxs/OUvf4GtrS38/f0RFBSEsWPHii7Pwn/+8x8cO3YMTz31FFQqFTw9PbF06VJMnDjR7G2dDCIiIlBSUmL6pAaovTLxzp070r2xo5CNaURpXJWgtG6RZ2BMIa1Wa5g8ebKhb9++hkGDBhk8PT0NU6ZMMWi1WtGlKaLT6QyTJk0SXYaFtLS0Jr8nPz+/BSp5PE6fPi26hAbJOgfqunPnjuHPf/6zwcfHx+Dp6Sm6nHoFBgYadDqdwWAwGIYNG2a4ffu2Qa/XGwYPHiy4Mkvh4eGGoqIis2dff/21ISIiQkxBjfjnP/9pGDhwoCE2NtaQkpJiiI2NNQwcONDwySefGAwGg+HYsWOG1NRUwVXWojSuSsi8brU2fKqdNZtGozGdand1dRVdjmI6nQ6DBg2SYg9ac8l8glSv1yMqKspiu4CMZJ0DWVlZyM3NRW5uLoqLi+Ht7Y3AwEAEBgaiZ8+eosuzMHXqVLz66qsYOnQo/vSnP6Gqqgpt27bFt99+i71794ouz0xD/3Z8fHxQUFAgoKLGUcnGpDauD6O0brU2cryzZyRoNBrY29ubNZx37tzB/fv3pWlAG9tz9ODBgxas5PGS+fdDg8GA06dPiy7DhOIciI6OhoeHB15//XWEh4dLf8J22bJlprGcP38+1qxZg/LycqxYsUJwZZZcXFzw/fff45lnnjE9++6776S5Gay+bMz4+HjBVTVN9nFtimzrljXhxpMpNn36dCxZssS03wgArl+/jpSUFOzZs0dcYXWcOHEC48aNM6vRSK/X4/jx4y1f1GMguhGh1MxRnAMbN25Ebm4utm3bhlWrVsHPz8/0xrPuD3ZZXL9+3XTLi7OzM5YuXQpAziSGsLAwJCYmIikpCR4eHvj222+xYsUKhIeHiy4NQO0bzurqaqjVavz1r38lc2BH9nEFaK1b1oQbT6ZYUVGRxaZxT09PXL16VVBFlvr06YOgoCCEhoZafK2qqgqbN28WUBV9lJo5inMgJCQEISEhAGovEti1axdWrFiBiooK6bYFAEBMTEy9TWZcXFyjV+uKEB8fj8rKSkRHR+P+/fto27YtXnrpJWkaPKrZmLKPK0Br3bIm3Hgyxdq1awetVmsW86PVauHo6CiwKnOjR49u8GNptVot1aJICaVmjuIcKCoqMu3xzMvLg06ng5+fHwICAkSXVq/6xvfWrVto06aNgGoaZ2tri6SkJCQlJeHWrVtmlzQYibynm2o2puzjCtBat6wJN55MseDgYCQlJWHp0qVwdXWFRqPBokWLTG9qZDBx4sQGv2ZjYyNl06GE6D2elJo5inNgzJgx8PPzg7+/P6KiotCvXz8pmzg/Pz+oVCrcv3/fIkatoqICY8aMEVSZMvU1R0DDb3BbQmvIxpRxXAFa65Y14VPtTLHy8nLMmzcPR44cgb29PXQ6HUJDQ5GWlibFNXl1Ga+hfBjVayjz8/PJXaUoGqU5UFNTAxsbG9FlNCkvLw8GgwHTpk0zy0Bt06YNXFxcpDx9rYQs93RfvHgRHTp0aDXZmLKMK5OLfL9SM2k5OTlh/fr1OHXqFHbs2IGsrCysX7/erOksLS0VWOFPqF9DqdfrMXnyZNN/lqXpnDZtWr3P4+LiWriSplGaAzY2Njhz5gySk5MRGxuL5ORkKX9g+/v7IyAgACdOnDDdtuTv7w9fX1+LprOhuSIj0Yf3jObOnYuqqiqzZ/fv38fcuXMFVfTzyDKulNYta8AftbNmc3FxgYuLS71fGzlypNAf7K3lGkpZoz4oNHMU58Dhw4exYMEChIeHw8fHB8XFxYiOjsbixYsRFhYmujwL9R3WeFhDc4U17Nq1a+jevbvZsx49euDatWtiCmolKKxb1oQbT/ZYid65QekaSkpRH5SaOUpzwGjTpk3YsmUL/Pz8TM/Cw8OxaNEiKRtP9mRQz8aUDaV1y5pw48keK9EfrezYsQMAsGLFCuk/nqIU9UGpmaM0B4w0Gg28vb3Nnnl5eeHGjRuCKrIuon9hNqKQjdkcoseV0rplVVr6jk7Wunl5eYkuwcLmzZtFl1Cv0aNHG44cOVLv1+7fv2/o27dvC1fUNCX3ystI1jlgNH78eMPOnTvNnu3evdswbtw4QRX9fDKuBQ2R5Z5unU5nePvttw2DBw82eHp6GgYPHmxYtmyZQafTiS7tkcgyrlTXrdaKT7Wzx0rGO8VlrAkAdu3aBVdXVzz//PMWX6upqcGmTZukjvvYsmULmQMkss4Bo/PnzyMmJgYuLi5wd3dHcXExbt68ia1bt2LAgAGiy3skMp9opnBPt6zZmI2hMK6U1q3WihtP9ljJ+MNGxppaA9mbubpknwOVlZXQ6/U4efIkSktL0bVrVwwbNgzt2rUTXdoji4mJMYtckolOp8OgQYOkvBWqKTL/u6MwrjKPn7XgPZ5MsaKionpz+v7973/j2WefBQCkpqa2dFlNkiWKqCGU8ibrovQ7q8xzoKamBoGBgSgoKCCzl2/Dhg2Ij48329N97949LFmyBG+//TYACG86KR3eaw7R/+6oj6vo8WOc48maYdq0aSgrKzN7lp2djT/96U+m/yzLD866i4voH4BNoRr1IXMzB9CZAzY2NvDw8MCdO3dEl6LY0aNHMXnyZGg0GgDAV199hcjISKn+N5w4cQJdu3aFp6enxZ/evXuLLu+RiT7ASX1cZV+3rAG/8WSKTZ06FVFRUdi9ezecnJyQl5eHWbNmYc2aNaJLs2AMtg4MDERQUBB69eoluiQLFKM+DAaD6QefzM0cQGMOGI0fPx4JCQmIiYmBm5ubWXMh4401e/bswcqVK/H73/8eYWFhOHjwIGbOnNnodaUtje/pfjIojiuldcsacOPJFHv55ZdRVlaGuLg4xMfHY9asWVi1ahWCgoJEl2Zh586dyM3NRXZ2Nv7yl7/A1tYW/v7+CAoKwtixY0WXB4Bm1AelZo7CHDBasmQJACA+Pt7suUqlknK/nK2tLeLi4pCTk4OdO3di1KhRUjWdAN/T/aRQHFdK65Y14MNFrNmSk5Nx8OBBrF+/HkOHDhVdTpN+/PFHbN++Hdu3b0dFRYV0P8gp5U1eunQJubm5yMnJQX5+vtTNXF2yzwFqsrOz8eabbyIkJAQvv/wy3nrrLTz11FNYtWoVXF1dRZfXqsl+UE5GVNet1oobT9aoyMhIiz1F1dXVKC0txdNPP2169vHHH7d0aY3KyspCbm4ucnNzUVxcDG9vbwQGBiIwMBA9e/YUXV6DKEV9yN7MUZoDOp0OKpUKtra2pmd6vR4GgwF2dnYCK6tfYGAgUlNT8bvf/Q5Aba2rVq3CwYMHkZOTI7g6c1QP7zUkPz9fin2KVMdV9nXLGnDjyRqltKEcNWrUE66keTw9PeHh4YHXX38d4eHhwjfkKyV71AelZo7SHJg0aRISExPNbi8qKCjAunXrpMxENEY+PeyLL76Q7lOQhv5N+fv7Iy8vT0BFzSNrNialcaW0blkD3uPJGiVbQ6nUxo0bkZubi23btmHVqlXw8/MzLTR170GWjey/B0ZHR5Np5ijNgUuXLmHw4MFmzwYPHozCwkIxBTWhvqYTgFRNJ8XDe/UxGAw4ffq06DJMKI4rpXXLGvAbT6bYvn37MHDgQPTp0weFhYV48803oVarsXz5cvTt21d0eQ26desWdu3aReKjFZlDtwHg2LFjpr1St2/flrqZq0v2OfDcc8/h008/hZOTk+nZ3bt3MXz4cJw6dUpgZfXT6XT429/+hry8PNy+fdvsFyZZtt1MmjQJgOVNP8bDe1OmTMHAgQNFlWemqWzM48ePSzNnKY2rEdV1q7XixpMpFhoair1798LZ2RlRUVHo27cvHB0dkZubix07doguz0xRUZHpo5W8vDzodDr4+voiICAAf/zjH0WXZ6Zu1AclsjdzlObAnDlzYGtri5SUFNjZ2UGn02Hx4sW4d++elHFlixcvRl5eHsaOHYt3330XM2fOxAcffICwsDDpTjVTOLw3YMAAjBs3Dh06dLD4ml6vx5YtW6T790VhXOsj+7plDbjxZIoZ9/RUVVXh2WefRXZ2NmxsbBAUFCTdnh5vb2/4+fnB398fAQEB6NevH9q0kfO+BGOdFKI+KDVzlOaAVqtFbGwsioqK4OrqCo1Ggx49eiA9PR2dO3cWXZ6FoUOH4oMPPsDTTz8NX19f5Ofn4+rVq0hJSZHul9C6ZD28N2bMGMTHxzeYjTlo0CBpt10A8o6rEaV1yxrwHk+mWPv27fHNN9/gypUr+PWvfw07OztUVVVJeU3a6dOnYWNjI7oMRSjlTY4ZM8bUzEVFRUndzFGaA506dcK+fftw/vx5FBcXw93dHQMGDJD2Tfi9e/dMqRb29vaoqqpCz549ceHCBcGVNS49PV3KBoliNmZdso6rEaV1yxpw48kUmzx5MiIjIwHAFG5eUFAg5alAGxsbnDlzBh9//DE0Gg1cXV0xatQoeHl5iS7NQt++fdG3b19MnjzZLOrj008/la7xpNTMUZoDQG1Y/MCBA6HX66XbI/cwDw8PFBYWwtPTE3369MH777+PX/ziF+jYsaPo0hol6wd8jYXv29jYSN94yjquRpTWLWvALT9T7NVXX8WBAweQkZGB4cOHAwDc3NxMt67I5PDhw5g6dSoAwMfHByqVCtHR0cjMzBRcmaWsrCysXr0aY8eOxYgRI3D58mUkJiZKWauxmUtOTkZsbCySk5OlDbOmNAfqiomJEV1Ck2bNmoWKigoAQGJiIv7xj39gw4YNSEpKElxZ42TIv2xMQ28N4+LiWriS5pF9XCmtW9aA93iyViksLAyLFi2Cn5+f6Vl+fj4WLVqEw4cPC6zMEqW8ycOHD2PBggUIDw/H008/jeLiYmRmZmLx4sUICwsTXZ4ZSnOgLtmzXKmhdHiPUjYmpXGltG5ZA/6onSlGIULFSKPRmIVxA7VXzd24cUNQRQ2jlDe5adMmbNmyxayZCw8Px6JFi6RbwCnNgbqovAuoqanB9evXTW8+jTw9PQVVVD8K93RTzMakMK5GlNYta8CNJ1Ns+fLlDUaoyKZXr1748MMPzfZOffTRR1LuRw0JCUFISAiAn6I+VqxYIWXUB6VmjtIcqIvCR4BHjhzBggUL8MMPP5g9V6lU0s1ZCof3PvvsMwC1jafx78BP2ZjGPfUyoTCuRpTWLWvAH7UzxShFqJw/fx4xMTFwcXGBu7s7iouLcfPmTWzduhUDBgwQXZ4ZSlEfL7/8MsLCwsyauQ8++AAHDx7Ehx9+KLAyS5TmAFC7DeDgwYOmg1ARERFmb2hkEhwcjOnTpyMsLAxt27YVXY5ist/TTTUbU/ZxpbRuWQNuPJlixmYTAIYMGYJjx47B3t5eyj1plZWV0Ov1OHnypOle6WHDhqFdu3aiS7NAKW+SUjNHaQ7s3r0bq1evRnh4OLp164aSkhJkZmYiMTEREyZMEF2ehaCgIJw6dUraeVoX1Xu6Zc/GpDSulNYta8CNJ1NszJgxWLZsGTw9PfHqq68iMDAQv/jFL7Bt2zYcPXpUdHkmNTU18PLyQkFBAWxtbUWX06SamhoyUR9UmjlqcyAkJARr1qwxu6/97NmzmDlzJo4fPy6usAasX78eHTp0wCuvvCK6lCZROrxXl4y/0NdFaVyprFvWghtPptipU6fQtm1b+Pj44Ny5c5g9ezYqKiqwePFiPP/886LLMxMeHo6//e1vUm7Krw+FvElqzRylORAQEIBTp05Brf5p271er8dzzz2H3NxcgZXVT6PRYNKkSbh3757F+Mp20JDqPd1eXl5S7/elMq7U1i1rwI0na5V27dqFzMxMxMTEwM3Nzey3cdlO3VKK+qDUzFGaA2vXrkWbNm0wffp02NjYoKamBhs3bkR1dTUSExNFl2dh/PjxcHR0xPPPPw8HBwezr40aNUpQVU2jdE93TEwMtm7dKroMRWQfV0rrljXgxpM1C5UIlYbqkfHULaW8SUrNHKU5EBkZiStXrsDR0RFdunTBjRs3UFlZiT59+ph9nyxvE728vJCXl0fiDRKlw3uUsjEpjSuldcsacOPJFKMUoUKJn58fcnJyzPZ51tTUIDAwEKdPnxZYmSVKzRwlShtKWd4m/vGPf8TChQulO0RSH0qH94x1UsjGpDSuvG7JhRtPphilCBWdTgeVSmX2Rkav18NgMMDOzk5gZZY46uPJoDIHqqursXr1asycORP29vaiy1Fk5cqV+OSTTxAREQEXFxezr02ePFlQVfWjdHjv0qVLpn2T+fn5UmdjUhpXJhduPJlilCJUJk2ahMTERLPQ4IKCAqxbt87iZhDRKEV9UGnmAFpzICAgANnZ2ST+bQG1Y1sflUol3dgCNA7vPUz2bEyAzrhSWresAY1Vjklh4sSJ2L17t+gyFLl06ZJZNA0ADB48GIWFhWIKakTPnj3xr3/9C3FxcfDz80NcXBz+93//V7qmEwCioqJw/vx5s2fnzp1DdHS0oIoaRmkOjBgxAocOHRJdhmI7duyo90/dprOgoEBghT85fPgwpk6dCgDw8fGBSqVCdHQ0MjMzBVdmKSsrC6tXr8bYsWMxYsQIXL58GYmJiVLWSmlcKa1b1oCvzGSKvfTSS5g0aRI2b94sfYSKnZ0dKisr4eTkZHpWWVkp3WEI417OgoIChIeHiy6nSZSaOSpzAABKS0uxYMECbN++HW5ubmZvPtevXy+wskcXExMjRQ4lpXu6o6OjyWRjUhpXSuuWNeDGkyn2xhtv4Omnn643QkU2QUFBePvtt5GSkgI7OzvodDqkpaUhICBAdGlmbGxs4OHhgTt37pCI+qDUzFGZAwDQv39/9O/fX3QZj5Usu7go3dO9ceNG5ObmYtu2bVi1apW02ZgArXGltG5ZA248mWKXLl0iE6Eyd+5cxMbGIjAwEK6urtBoNOjRowfS09NFl2Zh/PjxSEhIIBH1QamZozQHpk+fLrqEx06Wt3W9evXChx9+aHZ476OPPpLyRH5ISAhCQkIA/JSNuWLFCin3eFIaV0rrljXgw0VMMUoRKkDtG5fz58+juLgY7u7uGDBggDQ/DOuiFPWh1WoRGxuLoqIii2auc+fOosuzIPMcuHLlCnr37g0AjX7kJ9svH0rJcuUjpcN7lLIxKY0rtXWrtePGkylGKUKlroKCAvj4+Iguo9WQuZlriIxzoO6ViJR++VBKlsaT0j3dlLIxKY0rQHPdaq248WSKUYtQMZLlB2BDqEZ9yNjMNUT2OdAayXDXOLV7uqlkY1Ib17oorVutFe/xZIrt2LGjye/hf9TNFxUVZZE3ee7cOSnzJuuS5dQyk5MM94xTO7xnY2NDIhuT2rjWxeuWeHK+w2dkxcTEiC7Bguwv9Tnq48mTfQ5oNBokJSUhIiICoaGhZn+o0Ov1ZltufH19BVbzE+PhvWPHjuHixYsoLCw0/ZENpWxMSuPK5MJvPNljJeMPeNEf9zWFatSHjP9fN0T2OTB79mw4ODggJiZG+qiyhhgMBpw+fVp0GRaWLFkCAIiPjzd7LuP+WUrZmJTGtS5K61ZrxY0ne6xk2qydn5+PgwcPmj6yioiIMFvQZUE16kP2Zg6gMwcuXLiAnJwcqff0Ao3HPj148KAFK1GO0hs4StmYlMa1LgrrVmvHH7WzVmn37t2IjY2FjY0NfH19oVarER8fL+WVn3PnzsWlS5cQGBiIESNGIDAwEIWFhUhKShJdWr3y8/OxcOFCTJs2DQsXLpTyLRdAaw707t0bWq1WdBlNOnHiBLp27QpPT0+LP8ZoKNnodDro9XqzZ3q9HjqdTlBFDTNmY9YlazYmpXEF6Kxb1oBPtbPHSpbTwyEhIVizZo3Z3smzZ89i5syZOH78uLjCGkAl6mP37t1YvXo1wsPD0a1bN5SUlCAzMxOJiYmYMGGC6PLMyD4Hjh49avp7UVERMjIyMHHiRIuoMpn2eY4ZMwbx8fH11lRVVYVBgwZJ9yZs0qRJFof3CgoKpDy8Rykbk9K4Ulq3rAF/1M4eK1l+j6moqLC4grBfv36orKwUVFHjVCoVBg4cCL1ej4EDB4oup0Hvvfcetm3bZtbMRUZGYubMmdIt4LLPgWXLllk8e/hWJZVKJVXjOXr06Ab/javVailvYKJ0eK9nz57417/+ZcrGDA8PlzYbk9K4Ulq3rAE3nuyxkiFCBag9cblhwwZMnz4dNjY2qKmpQXp6OsaPHy+6tEbJHvUhezNXl+xz4NixY6a/l5aWwt7eHh07djQ9++GHH1BVVSWitAbVvR7xYTY2NlI2nlQO79XU1CAwMBAFBQUIDw8XXU6TqIwrQGvdsga8x5P9LLJGqJw4cQJbtmxBYGAgXnzxRQQGBiI9PR0nT57EqFGjTH9Y8xibuZqaGgCQrpmri9IcSEhIgEajMXtWUlKCGTNmCKqocdOmTav3eVxcXAtX0jTj4T3j3kNZD+/VzcakgMq4ArTWLWvAezzZz6LT6TBo0CDp4jM+/vhjRd8nS+NhJMNtL42JjIzElStX4OjoiC5duuDGjRuorKxEnz59zL5P6fg/SZTmgI+PDwoKCsyeGQwG+Pn5IT8/X1BVDWtoL7e/vz/y8vIEVNQwSvd079q1C5mZmYiJiYGbm5vZPu+GrlUVhdK4Ulq3rAF/1M6aRC1Cpbq6GpcvX8bMmTNhb28vupxmkbnpBIApU6aILkERanOgffv20Gq1ZrfAaLVaODo6CqzKkvHQSHV1tcUBku+++07KW2w6deqEffv2kTi8Rykbk9K4Ulm3rAU3nqxJJ06cwLhx49ChQweLr+n1eilOCNelVquxf/9+zJkzR3QpilHIm6TUzFGbA8HBwUhKSsLSpUtNb48WLVqEkJAQ0aWZ+eyzzwDUzgXj3wGgTZs26NSpE9LS0kSV1igqh/dkPJjTGArjSmndshb8UTtrEsUIlZSUFAwePBiRkZGiS2kSpaiPgIAAZGdno00b+beHU5oD5eXlmDdvHo4cOQJ7e3vodDqEhoYiLS3N7PCGLFasWIG5c+eKLqPZZIl7a4hOp4NKpTI7oKPX62EwGKS+XED2caW0blkDfuPJmkQxQqW0tBQLFizA9u3b4ebmZrbgrF+/XmBllihFfYwYMQKHDh0i0cxRmgNOTk5Yv349bt68afrY8uE8T5nUbTq3bNnS4GEj1jxRUVEW2Zjnzp2TMhuTEkrrljXgxpM1iWKESv/+/S3iM2RFKeqDUjNHaQ4Yubi4SN1w1ic9PZ1M4yn7B3yUsjHrkn1cKa1b1oAbT6bYtGnTsGXLFovncXFxFsHXosnYDDdE9rzJuig1c5TmAGWyNx11yX54j1I2Zl2yjyuldcsa8B5PppjsESpXrlwx3Rfd2BsC2WJJOOrj8aE6ByiLiYmR5uKIhlA4vAcAc+bMga2tLVJSUmBnZwedTofFixfj3r17WLNmjejyLFAZVyYXbjxZk4x7i1atWoXZs2ebfe27777Dv//9b3zyySciSjNTNwOzocZCxlgS2fMmKTVzVOcANQaDQcrYnPpQOrxHKRtT9nGltG5ZG248WZMmTZoEACgoKICPj4/puTFCZcqUKdJGaciuuroaq1evljrqg5s59jA/Pz/4+/sjMDAQQUFB6NWrl+iSGhQSEoI1a9aY7Z08e/YsZs6cKV0UHFDb1FPIxpR9XHndkhc3nkwxqhEqsuOoD0bNpUuXkJubi5ycHOTn58PW1hb+/v4ICgrC2LFjRZdnJiAgAKdOnYJa/dORBr1ej+eeew65ubkCK2vcw7/oy4bquDLxuPFkj0T2CBWNRoN3330XFy5cQEVFhdnXjh49Kqiq+lHKm6SE0hyg7Mcff8T27duxfft2VFRUSPcGae3atWjTpo3Z4b2NGzeiuroaiYmJostrkOzZmFTHlYnHjSd7JLIvipMmTYKDgwPCw8Ph4OBg9rXnn39eUFX1i4uLQ1ZWFnr37i191AelZo7SHKAmKysLubm5yM3NRXFxMby9vREYGIjAwED07NlTdHlmqB7ek32NpTSulNYta8BxSuyRyP77yoULF5CTkyP1bR9GlKI+Zs+eDQcHB8TExFg0c7KhNAeoiY6OhoeHB15//XWEh4dLuQfRiOo93bKvsZTGldK6ZQ248WSPxNfXV3QJjerduze0Wi26desmupQmUcqbpNTMUZoD1GzcuBG5ubnYtm0bVq1aBT8/P9Mbz2eeeUZ0eSaU7+mWORuT2rhSWresAX/UzhSTPUKl7kcmRUVFyMjIwMSJEy1ugqnvzvmWRjXqY9y4cVi7dq20zRylOdBa3Lp1C7t27ZJ2jye1w3tUsjEpjavs65a14caTKSZ7hEpISEiT36NSqaTY00Mp6oNSM0dpDlBWVFRk2uOZl5cHnU4HX19fBAQE4I9//KPo8sxQOrwnezZmXbKPK6V1y9pw48kUoxShUlpaCnt7e3Ts2NH07IcffkBVVRVcXV0FVkYP1WaO58CT4+3tbfpFNCAgAP369ZP2zRelw3uyZ2PWJfu4Ul23rAHv8WSK9e3bF3379sXkyZPNIlQ+/fRT6RrPhIQELFmyxKzpKCkpQUpKCvbs2SOwMnqOHTtm+ntjzZxseA48OadPn4aNjY3oMhShdHivoqLCotZ+/fqhsrJSUEUNk31cqa5b1oDfeDLFKEWo+Pj4oKCgwOyZwWCAn58f8vPzBVVVP0pRHy+99BKWLFlitj3g4sWLUjZzlOYARWfOnMHHH39s2os4atQoeHl5iS6LNM7GfDIorVvWgN94MsUoRai0b98eWq0WnTp1Mj3TarVwdHQUWFX9KEV9fP311xZ7Uj09PXH16lVBFTWM0hyg5vDhw1iwYAHCw8Ph4+OD4uJiREdHY/HixQgLCxNdHtnDeydOnMCVK1ewc+dOi2zMkydPmr5PVDYm1XGltG5ZA248mWJUIlQAIDg4GElJSVi6dClcXV2h0WiwaNEiRft+WhqlqA9KzRylOUDNpk2bsGXLFrPT1uHh4Vi0aJEUjefYsWNNh/caOvwiy+G9umTPxqQ6rpTWLWvAH7WzRyJ7hEp5eTnmzZuHI0eOwN7eHjqdDqGhoUhLS4OTk5Po8sxQivpITU3F999/b9HMde3aFSkpKaLLM0NpDlDj5+eHnJwcs32eNTU1CAwMxOnTpwVWRld1dTVWr15NJhuTEkrrljXgxpMpRilCxejmzZsoLi6Gu7u7RYyGSFSjPig2c7LOAcpefvllhIWFYeLEiaZnH3zwAQ4ePIgPP/xQYGW0UcrGpITiutWacePJFKMUoSI76lEf3MxZt/PnzyMmJgYuLi5wd3dHcXExbt68ia1bt2LAgAGiyzND6fCe7NmYdVEaVyNet+TAjSdTrKamhkyECiWcN8moqayshF6vx8mTJ1FaWoquXbti2LBhaNeunejSLEyaNAkODg4IDw+3OLz3/PPPC6qqfrJnY9ZFaVyZXPhwEVPMxsaGI1SeAM6bZJQY93IWFBQgPDxcdDlNonR4T/ZszLoojSuTCzeeTDHZI1So4qgPRomNjQ08PDxw584ds1PCsurduze0Wi2Jw3vTp08XXYJilMaVyYUbT6aY7BEqVHHUB6Nm/PjxSEhIQExMDNzc3MwyfWXIcKy7x/CFF17Aa6+9Ju3hPUrZmJTGlcmL93gyxThC5cngqA9GTUNNkCwZjpQO73l5eZmyMXlcmTXgxpMpxhEqTwZHfTD25PDhvSeDx5U9Km48mWKUIlQo4qgPRoVOp4NKpYKtra3pmV6vh8FgkO6wCd/T/WTwuLJHxY0nU4xShApj7MmZNGkSEhMT4e3tbXpWUFCAdevW4e9//7vAyiz5+PigoKDA7JnBYICfnx/y8/MFVVU/StmYlMaVyYUPFzFFqEWoMMaenEuXLmHw4MFmzwYPHtzo4RhRKB3emz17NhwcHBATE2ORjSkbSuPK5MKNJ1OEWoQKY+zJsbOzQ2Vlpdke5MrKSrOP3mURHByMpKQki8N7Sg7KtDRK2ZiUxpXJhe87ZIoZI1SOHTuGixcvorCw0PSHMWY9goKC8Pbbb0On0wGo3fOZlpaGgIAAwZVZmjVrFuzt7TFs2DAMGjQIwcHBUKvVmD17tujSLBizMSmgNK5MLrzHkykme9QHY6xlaLVaxMbGoqioyPS2q0ePHkhPT0fnzp1Fl1cvWQ/v1d27WVRUhIyMDFLZmLKOK5MXN56MMcaazWAw4Pz586amY8CAAWZB8kwZzsZk1oYbT6YYpQgVxljLKCgogI+Pj+gyWgXOxmTWgPd4MsWioqJw/vx5s2fnzp1DdHS0oIoYY6LFxMSILqHVSEhIgEajMXtWUlKCGTNmCKqIscePG0+mGKUIFcYYo+brr7+22Evv6emJq1evCqqIscePG0+mmDFCpS5ZI1QYYy2Dd2s9PsZszLo4G5O1Ntx4MsUoRagwxlrGmTNnRJfQahizMY0ft2s0GixcuJCzMVmrwoeLmGIUI1QYY09Gfn4+Dh48CI1GA1dXV0RERMDPz090WaSVl5dj3rx5OHLkCOzt7aHT6RAaGoq0tDSzsH7GKOPGkzULR6gwxnbv3o3Vq1cjPDwc3bp1Q0lJCTIzM5GYmIgJEyaILo88zsZkrRk3nuyRcIQKY9YrJCQEa9asMTtsePbsWcycORPHjx8XVxhjTHq8x5M9Eo5QYcx6VVRUoH///mbP+vXrZ3H4kDHGHsaNJ2OMsWYZP348NmzYgJqaGgBATU0N0tPTMX78eMGVMcZkxx+1s0fi5eXFp1kZs1KRkZG4cuUKHB0d0aVLF9y4cQOVlZXo06eP2fd9/PHHgipkjMlKLboARhM3nYxZrylTpogugTFGFDeerFk4QoUx61ZdXY3Lly9j5syZsLe3F10OY4wY3uPJFNu9ezdiY2NhY2MDX19fqNVqxMfHY/fu3aJLY4y1ELVajf379/ONZYyxR8J7PJliHKHCGAOAlJQUDB48GJGRkaJLYYwRwx+1M8U4QoUxBgClpaVYsGABtm/fDjc3N7Rp89OHZ+vXrxdYGWNMdtx4MsWMESrTp0+HjY0NR6gwZqX69+9v8UsoY4wpwR+1M8U4QoUxxhhjPwe/8WSKcYQKY9brypUr6N27NwCgsLCwwe/z9PRsqZIYYwRx48kU4QgVxqzb2LFjTfm9DR0qUqlUuHjxYgtWxRijhj9qZ4oFBAQgOzvb7CABY4wxxphS3EEwxUaMGIFDhw6JLoMxxhhjRPEbT6ZYXFwcsrKy0Lt3b45QYcyKaTQavPvuu7hw4QIqKirMvnb06FFBVTHGKOA9nkwxjlBhjAHA7Nmz4eDggJiYGDg4OIguhzFGCL/xZIwx1ize3t7IycmBnZ2d6FIYY8TwG0/WKI5QYYw9rHfv3tBqtejWrZvoUhhjxPAbT9YoLy8vU4RKQ80lR6gw1vrV3btZVFSEjIwMTJw4ES4uLmbfFxoa2tKlMcYI4caTMcZYk0JCQpr8HpVKxYeLGGON4saTMcZYs5SWlsLe3h4dO3Y0Pfvhhx9QVVUFV1dXgZUxxmTHezyZYhyhwhgDgISEBCxZssSs8SwpKUFKSgr27NkjsDLGmOy48WSKcYQKYwwAvv76a4s9356enrh69aqgihhjVHDjyRS7cOECR6gwxtC+fXtotVp06tTJ9Eyr1cLR0VFgVYwxCvjKTKaYMUKFMWbdgoODkZSUBI1GA6B2G87ChQsVHUBijFk3PlzEGsURKoyxh5WXl2PevHk4cuQI7O3todPpEBoairS0NDg5OYkujzEmMW48WaM4QoUx1pCbN2+iuLgY7u7uFr+MMsZYfbjxZIpxhApjjDHGfg7e48kUS0hIMO3pMiopKcGMGTMEVcQYY4wxSrjxZIpxhApjjDHGfg5uPJlixgiVujhChTHGGGNKcePJFOMIFcYYY4z9HHy4iCnGESqMMcYY+zm48WTNxhEqjDHGGHsU3HgyxhhjjLEWwXs8GWOMMcZYi+DGkzHGGGOMtQhuPBljjDHGWIvgxpMxxhhjjLUIbjwZY4wxxliL4MaTMcYYY4y1CG48GWOMMcZYi/j/ii+qZpFgApwAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"underpainting\")\n", "underpaint_slice_df = user_intersting_clips_3p5[\n", " (user_intersting_clips_3p5[\"task\"] == \"underpainting\")\n", "].copy()\n", "if upload_extend_slice_df.shape[0] > 0:\n", " get_preference_counts(\n", " underpaint_slice_df,\n", " title_name=\"underpainting\",\n", " )" ] }, { "cell_type": "code", "execution_count": 68, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:21.008937Z", "iopub.status.busy": "2025-09-24T12:35:21.008706Z", "iopub.status.idle": "2025-09-24T12:35:21.309956Z", "shell.execute_reply": "2025-09-24T12:35:21.309526Z", "shell.execute_reply.started": "2025-09-24T12:35:21.008923Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "No data found for chirp-bluejay-t2_mask_control_slider vs chirp-bluejay-t2\n", "==================================================\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_preference_data_for_each_task(user_intersting_clips_3p5, \n", " ref_model_name=\"chirp-bluejay-t2\", \n", " target_model_name=\"chirp-bluejay-t2_mask_control_slider\")" ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:21.310717Z", "iopub.status.busy": "2025-09-24T12:35:21.310446Z", "iopub.status.idle": "2025-09-24T12:35:21.600014Z", "shell.execute_reply": "2025-09-24T12:35:21.599583Z", "shell.execute_reply.started": "2025-09-24T12:35:21.310703Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "No data found for chirp-bluejay-t2-d87 vs chirp-bluejay-t2\n", "==================================================\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_preference_data_for_each_task(user_intersting_clips_3p5, \n", " ref_model_name=\"chirp-bluejay-t2\", \n", " target_model_name=\"chirp-bluejay-t2-d87\")" ] }, { "cell_type": "code", "execution_count": 70, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:21.600690Z", "iopub.status.busy": "2025-09-24T12:35:21.600490Z", "iopub.status.idle": "2025-09-24T12:35:21.901910Z", "shell.execute_reply": "2025-09-24T12:35:21.901475Z", "shell.execute_reply.started": "2025-09-24T12:35:21.600678Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "No data found for chirp-bluejay-t2-vt-2 vs chirp-bluejay-t2\n", "==================================================\n" ] }, { "data": { "image/png": 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uLsLEiROLnXfJkiVC/fr1hTdv3sinZWRkCI0bN1Y4Ths1aqR0TVHFpEmTBCcnJyE8PFypLP/cyD+2hwwZonC+zJ8/X6hbt67Cvhw4cKDCeZ1/XW3Tpo3SMZJfb8+ePYXMzEz59PXr1wtSqVQ4efJksfFLpVJBKpUKt27dkk97/vy54OLiIr9Wvf1db1+D3j3+8717bq9atUpwc3MTIiMjFeZbvHixULduXeHFixeF1lnQeREaGqr0d2XXrl2CVCoVHj58KJ+WmZkpeHh4qHS8F3Y9Lci1a9cER0dHYdmyZQWWt2/fXhg+fHix9ai67d/3nM+3YcMGpX1Y0Pb96aefhAYNGggZGRmCIAjC3bt3BalUKhw9erTY9ck/hxYuXCg4OTkJ+/fvVzm+fLwVq0G1a9dG+fLl5bcB79+/j9TUVPmvAXd3d4SEhAAAwsLCkJOTI+9fVxQzMzOFPnISiQQuLi6IiopSKa4LFy7A09MTnp6e6NatGw4dOoRevXph0qRJCvOZmJjI/z81NRUJCQlwd3eHIAi4e/dusd9z7NgxWFpaolmzZkhISJD/q1+/PszMzN57GJf8vmL5nVnv3buHJ0+eoFu3bnj9+rX8+1JTU+Hp6Ylr164p3aZQhUQikfe9ycnJwevXr2FmZoZatWoVux0SExMhCALKlSunMD0hIQHXrl1D7969YW9vr1BWUIvAl19+qfC5cePGePPmTZG3zfL169ev0M7TX3/9tcLngQMHAsjrFKyKtm3bKrRYurq6okGDBjh79qxKyxdFEAT89ddfaN26NQRBUDiGvL29kZSUVORtvbeP34yMDCQkJKBBgwYAoLBc9+7dkZmZiWPHjsmnBQUFITs7G1988cV7r0e+R48eYfbs2XB3d1dq7SpIp06dEB8fr3A79vjx48jNzZU/YKUJaWlpGDt2LExMTDBhwoRi5+/cuTOysrLw119/yaddvHgRMplMIa5y5crh5s2biI6OVjmW3NxcnDx5Eq1atVJ6QhJQPjfyW3PzNW7cGDk5OSo9udijRw+FY+Rt/fv3V2jBGzBgAAwNDVU+rt3d3eHs7Cz/bG9vjzZt2uDChQtKt+RK4tixY2jUqBHKlSuncF54eXkhJyenyNu+b69zVlYWXr9+jerVq6NcuXIK17NOnTrB2NgYgYGB8mkXLlzA69evNXpexMfHY8KECahatSqGDx9e4DxWVlYKXSiKosq21+Y5//b2TU5ORkJCAho3boy0tDT5rWYLCwsAedvz3S417xIEAbNnz4a/vz9+/fVXla4d7+KtWA0SiURwd3fH9evXkZubi5CQEFSoUAE1atQAkHcA5vePyU/wVEnsPvnkE6ULnJWVFf755x+V4sofciEnJwcPHjzA77//DplMpnRb9MWLF/Dz88OpU6eU+peoklA8ffoUSUlJ8PT0LLA8Pj5epXgLk39bMb+/xpMnTwBA3txdkKSkJKVbzsXJzc2Fv78/duzYgWfPnilcmAu6dVAQQRAUPucn4arelnk3+ctPFBMTE+UXicIU1ak3/1jMV716dYjFYnl/mzdv3iArK0tebmJionCb4N3lgbx+ZEePHi0yJlUkJCRAJpNh9+7d2L17d6HzFObNmzdYuXIlgoKClI61t/ux1K5dGy4uLggMDETfvn0B5N2ScXNzk69fUlKSQt9SIyMjlfc9kHeb6bvvvoOlpSWWL1+ukGgXVvfnn38OS0tLBAUFyc+hoKAg1K1bV6XhUhISEhSOVTMzM6W+TTk5ORg/fjwePnyI9evXF9utAACcnJzg4OCAo0ePyrdXUFAQrK2tFZ7y//HHHzFlyhS0bNkS9evXR4sWLdCjRw9Uq1atyJiTk5OLvVWdr7DzQiaTFbusOueFubk5KlasKE8YizseCjsv0tLSkJCQgIoVKxYbX1GePn2Kf/75p9Bra1HnRXp6OtauXYv9+/cjOjpa4dr09nlRrlw5tGrVCocPH8a4ceMA5J0XdnZ28v2ckpKi0L3DwMBAqf9mUVJTU/Hdd98hJSUFO3bsKPThCEEQVH7iX5Vtr8o5X1IPHjzAsmXLcPnyZaW/k/nbt1q1ahg6dCg2bdqEwMBANG7cGK1bt8YXX3yhdBv24MGDSE1Nxc8//4yuXbuWKCYmdhrWqFEjnD59GhEREfL+dfnc3d3xyy+/IDo6Gjdu3EClSpWKvOjle99H162treVPHjVv3hwODg747rvv4O/vLx8GJScnB0OHDpX353NwcICZmRmio6MxZcoUlVq+cnNzUaFChUKf/lPnAlCQ/E76+X2a8i9QkyZNQt26dQtcpiRPhK5ZswbLly9H7969MXbsWFhZWUEsFmP+/PlKCdu7rKysIBKJVPpDU5TCntYr7vsB9Z6Ke/fiOXr0aIUWo549e2LhwoUq16fKd+R7tyUj/xj74osvCv2VWtSDAuPGjUNoaCiGDRuGunXrwszMDLm5uRg+fLjSduvRowfmzZuHV69eITMzE2FhYZgxY4a8fN68eQoPDDRt2lTlzstJSUn49ttvkZSUhO3btyslT4XVLZFI0LZtW5w4cQIzZ85EfHw8QkJC8MMPP6j0vX369FFouRo1apTSkCjTp0/HmTNnsHjx4kKThIJ07twZa9asQUJCAiwsLHDq1Cl06dJFYbiZzp07o3Hjxjhx4gQuXryIP/74A+vXr8eKFStK1Be4IO9zXhTWWqeK9zkeSqKgc6NZs2aFtnDVrFmz0LrmzJkj73fs5uYGS0tLiEQijB8/vsDz4tixYwgJCYFUKsWpU6cwYMAA+XbfuHGjwlijVapUwalTp1Rap8zMTIwePRr//PMP/vjjjyJ/5MpksvdOuN5V3DlfEjKZDAMHDoSFhQXGjBmD6tWrw9jYGHfu3MHixYsV/m5OmTIFPXv2xN9//42LFy9i7ty5WLt2Lfbs2YNPPvlEPl/Dhg1x//59bN++HZ06dVLrB2U+JnYa9vZ4diEhIRg8eLC8zNnZGRKJBFeuXEF4eDg+//xzncTYsmVLNG3aFGvWrEH//v1hZmaGiIgIPHnyBIsWLVIYuPjdJ1CBwv9QV69eHcHBwWjYsOF7XUQLk/8Wh+bNmwOAPCm2sLAo0UCrha3H8ePH4eHhgfnz5ytMl8lkxT7oYmhoiOrVqyuNLp8fa3FPkGrb06dPFX5MPH36FLm5ufLWjMmTJyskpZUqVVJa/l1PnjxBlSpVCv3O/BbTd5PdFy9eKHy2sbGBubk5cnNz1d6fiYmJCA4OxujRozFq1CiF2ArSuXNnLFy4EIcPH0Z6ejqMjIwUhqcZPny4wi2ad2+tFyYjIwMjRozAkydPsGnTJtSpU0dpnqLq7tSpEw4cOIDg4GA8evQIgiAoDZtT2HH766+/Kjzh/O6PxkWLFmH//v2YOnWq2i0BnTt3xsqVK/HXX3/B1tYWycnJBQ6+XalSJXz99df4+uuvER8fj549e2LNmjWFJnY2NjawsLDAgwcP1IpH054+farQ+piSkoLY2Fj5Nbq446Gw88LU1LTIH7RWVlZK50VmZiZiY2MVplWvXh2pqaklus4dP34cPXr0UHjKNiMjo8CnMZs3bw4bGxsEBgaiQYMGSEtLU+gG1KNHD4W7TG//iCyqhS03NxeTJ09GcHAwli1bpvSA0Nuys7Px8uVLtG7dWqX1U3XbF3fOl8TVq1fldwqaNGkin17Y20Xynxj+73//i5CQEAwYMAA7d+5UeHiuRo0amDhxIgYNGoThw4dj8+bNxd6leRf72GmYs7OzvJ9CdHS0QoudRCJB/fr1sWPHDqSmpqp0G1Zbhg8fjjdv3sjHhMv/Rfb2LzhBEODv76+0bP5TdO9ekDp16oScnBysXr1aaZns7Oz3asUKDAzE3r174e7uLm9pcHZ2RvXq1bFx40aFQSTzFfdaLlNT0wJjMjAwUPole/ToUZX7Drm5ueH27dsK02xsbNCkSRPs27dPKaFRpbVBU/K7AuTbtm0bAMj/gDk7O8PLy0v+793E5OTJkwrbITw8HDdv3izyR4qFhQWsra1x/fp1hek7duxQ+GxgYIAOHTrg+PHjBSbARe3Pwlq1t2zZUuB0GxsbNG/eHAEBAQgMDIS3t7fCH4E6deoobIe3+/CYmZkVeNzk5ORg3LhxCAsLw/Llywt90q6our28vFC+fHkEBQXh6NGjcHV1VUrQCjv/GjVqpFDv28tt2LABGzduxIgRIxR+bKqqdu3akEqlCAoKQlBQECpWrKjwhywnJ0cpUahQoQIqVaqkNGTJ28RiMdq2bYvTp08X+Lqw0jo3du/erdAFYefOncjOzpYf10XtMyDvSfi3+3G+fPkSf//9N5o1a1bkHZdq1aopnRd79uxRarHr1KkTQkNDcf78eaU6ZDIZsrOzC/2Ogr5/69atBfb9MzQ0RJcuXXD06FHs378fUqlU4Q0Q1apVU9gOb/8NK+x6CuS1GgYFBWHmzJlo3759obECwMOHD5GRkaHyk6qqbvvizvmSKOjvZmZmptK1LTk5WWkfSaVSiMXiAs8PJycnrFu3Do8ePcL333+v0A1AFWyx07D8BxuuX78OiUSidAFwd3fHxo0bAajWv05bWrRoAalUis2bN+Prr7+Gg4MDqlevjkWLFiE6OhoWFhY4fvx4gSdq/tAFc+fOhbe3NwwMDNClSxc0bdoU/fv3x9q1a3Hv3j00a9YMRkZGePLkCY4dO4Zp06ahY8eOxcZ2/PhxmJmZISsrS/7miZCQEDg5OWH58uXy+cRiMebOnYtvv/0WXbt2Ra9evWBnZ4fo6GhcuXIFFhYWWLNmTaHfU79+fezcuROrV69GjRo1YGNjA09PT7Rs2RKrVq2Cr68v3N3dERERgcDAQJVumwNAmzZtcOjQIURGRir0jZo+fToGDBiAnj17on///qhatSqeP3+OM2fO4NChQyrV/b6ePXuGESNGoHnz5ggLC0NAQAC6du2q8ut7qlevjgEDBmDAgAHIzMyEv78/ypcvX+gtonx9+/bFunXrMG3aNDg7O+P69euIjIxUmm/ChAm4cuUK+vXrh759+6JOnTpITEzEnTt3EBwcXOA4b0Be8tikSRNs2LABWVlZsLOzw8WLF4t8L2ePHj0wZswYAFDr/ZT169dHcHAwNm3ahEqVKqFq1apo0KABFi5ciFOnTqFVq1Z48+aN0j59u+WjMEZGRmjXrh2OHDmCtLS0AvuPFnb+FebEiRP49ddfUbNmTTg4OCjF1axZM5WGquncuTP8/PxgbGyMPn36KNwWTUlJQYsWLdChQwc4OTnBzMwMly5dwq1bt4p9n/EPP/yAixcvwsfHB/369UPt2rURGxuLY8eOYceOHSq3lr6PrKwsDBkyBJ06dUJkZCR27NiBRo0aFTnEx9ukUimGDRumMOQGgGLfDtK3b1/MnDkTo0ePhpeXF+7fv48LFy4o3RkYNmwYTp06hREjRqBnz56oX78+0tLSEBERgePHj+Pvv/8uNElp2bIlDh06BAsLC9SpUwdhYWG4dOlSobf4evToga1bt+LKlSv48ccfVVp/oPDr6ebNm7Fjxw64u7vDxMRE6fhr166dQpeZS5cuwdTUVOXWSXW2fUnP+cK4u7vDysoKU6ZMgY+PD0QiEQ4dOqT0g+Ty5cuYPXs2OnbsiJo1ayInJweHDh2S/5gtiJubG1avXo3//Oc/GDNmDFatWqXycGFM7LSgUaNGuH79OurXr680YGnDhg2xceNGmJub6/xdeN988w2mTJmCwMBA9OrVC2vWrJHf9zc2Nka7du3w9ddfK/1Bat++PXx8fHDkyBEEBARAEAT5H5bZs2fD2dkZu3btwm+//QYDAwNUqVIFX3zxhcqvXfn5558B5DXzW1tbo27dupg/f36B74r18PDA7t27sXr1amzbtg2pqamoWLEiXF1d0b9//yK/Z+TIkXjx4gU2bNiAlJQUNG3aFJ6enhgxYgTS0tIQGBiIoKAg1KtXD2vXrsWSJUtUir9Vq1awtrbG0aNH8d///lc+3cnJCXv27MHy5cuxc+dOZGRkwN7eXutvqHjbsmXLsHz5cixZsgSGhoYYOHCg0tPRRenRowfEYjG2bNmC+Ph4uLq64qefflK6Zfuu/IFkjx8/jqNHj+Lzzz/Hhg0blPp52draYu/evVi1ahVOnDiBnTt3onz58qhTp06xf2SWLFmCOXPmYMeOHRAEAc2aNcP69evlt+7f1apVK1hZWSE3N1flP+BAXl+ZGTNmYNmyZUhPT0fPnj3RoEED+QDWp0+flg/a+zZVEjsgL4Hau3cvRCJRgcdGUedfQfLjevLkSYH72t/fX+XEbtmyZUhLS1OKy8TEBAMGDMDFixfx119/QRAEVK9eHTNnzsRXX31VZL12dnby8yIwMBDJycmws7PD559/rpUuHQWZMWMGAgMD4efnh6ysLHTp0gXTp09XuQN/kyZN4ObmhlWrVuHFixeoU6cOFixYUOw1vl+/fnj27Bn+/PNPnD9/Ho0aNcKmTZuUxpIzNTXF1q1bsXbtWhw7dgwHDx6EhYUFatasidGjRxc6DhoATJs2DWKxGIGBgcjIyEDDhg2xadOmQn+MOTs749NPP8WjR4/UemK0sOtp/vEXGhpa4EDAf//9t0Jid+zYMbRr107l24/qbPuSnvOFsba2xpo1a7Bo0SIsW7YM5cqVwxdffAFPT08MGzZMPp+joyO8vb1x+vRpREdHw9TUFI6Ojli/fj3c3NwKrd/T0xPLli3DmDFjMGnSJCxZskS1t6WoPUAKERVr5cqVQuvWrZXGk9OV4sYI/Ng8ffpUkEqlwsGDB0tcR1ZWlvDZZ58pjRlIZUf+2HIFjaH3McrOzlYYS7WkunfvLgwaNEhDUanu7t27gqOjo3D37l2t1F9Wznn2sSPSgiFDhiA1NRVHjhzRdSh6KSYmBgCKfZilKCdPnkRCQoLCw0JEH7P8hy7e57y4desW7t27p5PzYt26dejQoUOhoxy8r7JyzvNWLJEWmJubIzg4WNdh6KU///wT+/btg6mpaZG3MQpz8+ZN/PPPP1i9ejXq1atX5BN6RB+L/Fu0+a/OU1dERATu3LmDjRs3omLFihodFFtVBb03WxPK2jnPxI6IPiozZsxAzZo1sXz58hJ1rN+5cycCAgLg5OT03mP0EX0ofv31V4hEIsybNw8ODg5qL3/8+HGsWrUKtWrVwtKlS9UaD/NDV9bOeZEglOJYC0RERESkNexjR0RERKQnmNgRERER6QkmdkRERER6gokdERERkZ7gU7EaFB+fBD6KQkRERJokEgEVKhT+hpG3MbHTIEEAEzsiIiLSGd6KJSIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE8wsSMiIiLSE0zsiIiIiPQEEzsiIiIiPcHEjoiIiEhPMLEjIiIi0hNM7IiIiIj0BBM7IiIiIj3BxI6IiIhITzCxIyIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE8wsSMiIiLSE0zsiIiIiPQEEzsiIiIiPcHEjoiIiEhPMLEjIiIi0hNM7IiIiIj0BBM7IiIiIj3BxI6IiIhITzCxIyIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE8wsSMiIiLSE0zsiIiIiPQEEzsiIiIiPcHEjoiIiEhPMLEjIiIi0hNM7IiIiIj0BBM7IiIiIj3BxI6IiIhITzCxIyIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE8wsSMiIiLSEx9dYrd9+3a0bt0aLi4u6Nu3L8LDw4uc/+jRo+jYsSNcXFzQrVs3nD17ttB5Z8yYAUdHR2zevFnDURMRERFp30eV2AUFBWHBggUYOXIkDhw4ACcnJwwbNgzx8fEFzh8SEoIJEyagT58+OHjwINq0aYORI0ciIiJCad4TJ07g5s2bqFSpkrZXg4iIiEgrPqrEbtOmTejXrx969+6NOnXqYNasWTAxMcG+ffsKnN/f3x/NmzfH8OHDUbt2bYwbNw716tXDtm3bFOaLjo7GnDlzsHjxYhgZGZXGqhARERFp3EeT2GVmZuLOnTvw8vKSTxOLxfDy8kJoaGiBy4SFhcHT01Nhmre3N8LCwuSfc3NzMXHiRAwbNgyffvqpVmInIiIiKg0fTWL3+vVr5OTkoEKFCgrTK1SogLi4uAKXiYuLg62tbZHzr1+/HoaGhhg0aJDmgyYiIiIqRR9NYqcNt2/fhr+/PxYsWACRSPTe9RkZGQIALC1N/vfZACYmebd2zc0lEItFEItFMDeXAABMTIxgZGSgsIxEYghj47x6LCyMIRIBhoZimJrm1WNmJoGBgfh/9RgXUY/BO/WIYGAghqmpRKEekUgEC4u8eoyNDSGRKNajuA7GEIvz6jEzy6vH1NQIhoZiiER4p57it4WBgeidekqyLUQl2Bb59ShuC8V6DJXqyVsHwyK2haSQbaHKNn13WxS/TQ0NDQrZFro7vt7eFro+vnS5LQo6vnSzLQo/vt7dFsrHV0nOtdI7vvK2Rdk8vngtL3vX8vxtqgqRIAiCynPrUGZmJtzc3ODn54e2bdvKp0+ePBkymQy///670jItW7bEkCFDMGTIEPk0Pz8/nDx5EgEBAdi8eTMWLlwIsfj/89ucnByIxWJUrlwZp06dUivGuLgkfBxbk4iIiD4WIhFga2up0ryGWo5FYyQSCerXr4/g4GB5Ypebm4vg4GAMHDiwwGXc3Nxw+fJlhcTu0qVLcHNzAwB0795doc8eAAwbNgzdu3dHr169tLIeRERERNry0SR2ADB06FBMnjwZzs7OcHV1xZYtW5CWliZPwiZNmgQ7OztMmDABADBo0CD4+Phg48aNaNGiBYKCgnD79m3Mnj0bAGBtbQ1ra2uF7zAyMoKtrS0cHBxKd+WIiIiI3tNHldh17twZCQkJ8PPzQ2xsLOrWrYsNGzbIH5B4+fKlwm3Vhg0bYvHixVi2bBmWLl2KmjVrYtWqVZBKpbpaBSIiIiKt+Wj62H0M2MeOiIiINE2dPnZl+qlYIiIiIn3CxI6IiIhITzCxIyIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE+UaBy7Fy9e4MWLF0hLS4ONjQ0+/fRTSCQSTcdGRERERGpQObF79uwZdu7ciaCgILx69QpvD39nZGSExo0bo1+/fujQoYPCIMFEREREVDpUGqB47ty5OHDgALy9vdGqVSu4urqiUqVKMDExQWJiIiIiInDjxg0cOXIEBgYGmD9/PlxdXUsj/g8KBygmIiIiTVNngGKVErslS5bgm2++UXqvakHOnTuH9PR0tG/fXqUA9AkTOyIiItI0jSd2pBomdkRERKRp6iR2JXp4Il9CQgLCw8ORk5MDFxcXVKpU6X2qIyIiIqL3UOLE7vjx45g2bRpq1qyJ7OxsREZGYsaMGejdu7cm4yMiIiIiFamc2KWkpMDc3Fz+eeXKldi7dy9q1aoFADhz5gymT5/OxI6IiIhIR1Qel6RXr144efKk/LOhoSHi4+Pln+Pi4jiWHREREZEOqfzwxLNnzzB79mwYGRlhxowZiIqKwvjx45Gbm4vs7GyIxWIsXLgQLVq00HbMHyw+PEFERESaptWnYg8fPgw/Pz/4+Pigb9++ePr0KXJzc+Hg4ABjY+MSBawvmNgRERGRpqmT2Kn9ioiuXbvizz//xP379+Hj4wNBEFC3bt0yn9QRERER6ZpaLXZnz57Fo0eP4OTkBC8vL1y9ehWzZ89G8+bNMXbsWJiYmGgz1g8eW+yIiIhI07TSYrdw4UL4+vri1q1bmDFjBlatWoWmTZti//79MDY2Ro8ePXD27NkSB01ERERE70flFjsPDw/88ccfcHZ2xps3b9C/f38cP35cXv7w4UPMmDEDO3bs0FqwHzq22BEREZGmaaXFztTUFM+ePQMAvHr1Smlokzp16pTppI6IiIhI11RusQsICMBPP/0ES0tLpKenY+HChWjbtq224/uosMWOiIiINE1rw528fv0aUVFRqFmzJsqVK1fiAPUVEzsiIiLSNHUSO7XeFWttbQ1ra+sSBUVERERE2qX2OHZERERE9GFiYkdERESkJ5jYEREREekJJnZEREREekKjid21a9eQlJSkySqJiIiISEUaTex8fHzQtm1bbNy4UZPVEhEREZEK1BrupDh///03oqKicO7cOU1WS0REREQqUGuAYioaBygmIiIiTdPKu2ILk5WV9b5VEBEREZEGqJzYBQUFITMzU/5527ZtaNWqFVxdXeHh4YGVK1dqJUAiIiIiUo3Kid2ECRPkT7zu27cPv/zyC3r27Ik1a9ZgyJAh+OOPP7B3716tBUpERERERVP54Ym3u+Lt2rULY8aMwfDhwwEALVq0gJWVFXbs2IG+fftqPkoiIiIiKpZafexEIhEAICoqCt7e3gpl3t7eePr0qeYiIyIiIiK1qDXcyblz52BpaQljY2OkpaUplGVkZMgTPyIiIiIqfWoldlOmTJH//+XLl+Hu7i7/HBYWhurVq2suMiIiIiJSi8bGsTt9+jQMDQ3RvHlzTVT3UeI4dkRERKRp6oxjxwGKNYiJHREREWlaqQ5QTEREREQfBo0ldp06dULdunU1VR0RERERqUmthyeK8vYAxkRERERU+tjHToPYx46IiIg0TZ0+diVqsUtKSkJsbCwAoGLFirC0VO3LiIiIiEh71Ers9u7di02bNiEyMlJheq1atTB06FC+ToyIiIhIh1RO7DZs2ICVK1fCx8cH3t7esLW1BQDExcXh4sWLmD9/PmQyGYYNG6a1YImIiIiocCr3sWvVqhUmTpyIzp07F1geFBSEX375BWfOnNFkfB8V9rEjIiIiTdPKOHbx8fFwdHQstFwqleL169eqVkdEREREGqZyYufi4oJ169YhOztbqSwnJwfr16+Hi4uLRoMjIiIiItWpfCv2/v37GD58OLKystCkSRNUqFABQF5L3rVr12BkZISNGzdCKpVqNeAPGW/FEhERkaZp7V2xycnJCAgIwM2bNxEXFwcAsLW1hZubG7p16wYLC4uSRawnmNgRERGRpmktsfsQbN++HX/88QdiY2Ph5OSEn376Ca6uroXOf/ToUSxfvhzPnz9HzZo18eOPP6JFixYAgKysLCxbtgznzp1DVFQULCws4OXlhQkTJsDOzk7t2JjYERERkaZp5eGJD0FQUBAWLFiAkSNH4sCBA3BycsKwYcMQHx9f4PwhISGYMGEC+vTpg4MHD6JNmzYYOXIkIiIiAADp6em4e/cuvv/+e+zfvx8rV65EZGQkvv/++9JcLSIiIiKN+Kha7Pr27QsXFxfMmDEDAJCbm4sWLVrAx8cH//nPf5TmHzduHNLS0rB27Vr5tH79+sHJyQmzZ88u8DvCw8PRt29fnD59Gvb29mrFxxY7IiIi0jS9bLHLzMzEnTt34OXlJZ8mFovh5eWF0NDQApcJCwuDp6enwjRvb2+EhYUV+j3JyckQiUQoV66cRuImIiIiKi0fTWL3+vVr5OTkyJ/GzVehQgX5gxzviouLk78hQ5X5MzIysHjxYnTp0qXMPwhCREREH5/3SuxevXqFV69eaSoWncrKysLYsWMhCAJmzZpVojqMjPLe0GZpafK/zwYwMTECAJibSyAWiyAWi2BuLgEAmJgYwcjIQGEZicQQxsZ59VhYGEMkAgwNxTA1zavHzEwCAwPx/+oxLqIeg3fqEcHAQAxTU4lCPSKRCBYWefUYGxtCIlGsR3EdjCEW59VjZpZXj6mpEQwNxRCJ8E49xW8LAwPRO/WUZFuISrAt8utR3BaK9Rgq1ZO3DoZFbAtJIdtClW367rYofpsaGhoUsi10d3y9vS10fXzpclsUdHzpZlsUfny9uy2Uj6+SnGuld3zlbYuyeXzxWl72ruX521QVavexy83NxerVq7Fp0yakpqb+b4XMMXToUHz//fcQi7XTCJiZmQk3Nzf4+fmhbdu28umTJ0+GTCbD77//rrRMy5YtMWTIEAwZMkQ+zc/PDydPnkRAQIB8WlZWFsaNG4eoqChs2bIF1tbWJYqRfeyIiIhI07Tax+63337D9u3bMWHCBBw4cAAHDhzA+PHjsW3bNixfvlztYFUlkUhQv359BAcHy6fl5uYiODgY7u7uBS7j5uaGy5cvK0y7dOkS3Nzc5J/zk7qnT59i8+bNJU7qiIiIiHTNUN0FDhw4gLlz56JNmzbyaU5OTrCzs8OsWbMwfvx4jQb4tqFDh2Ly5MlwdnaGq6srtmzZgrS0NPTq1QsAMGnSJNjZ2WHChAkAgEGDBsHHxwcbN25EixYtEBQUhNu3b8ufiM3KysKYMWNw9+5drF27Fjk5OYiNjQUAWFlZQSKRaG1diIiIiDRN7cQuMTERDg4OStMdHByQmJiokaAK07lzZyQkJMDPzw+xsbGoW7cuNmzYIH9A4uXLlwq3ghs2bIjFixdj2bJlWLp0KWrWrIlVq1bJX3sWHR2NU6dOAQC6d++u8F3+/v7w8PDQ6voQERERaZLafez69u2LBg0aYPr06QrT58yZg1u3bmHPnj0aDfBjwj52REREpGlafaXY1atX8d1336Fy5cryvmphYWF4+fIl1q9fj8aNG6sdsL5gYkdERESapvV3xUZHR2PHjh14/PgxgLzbsF999VWJ3q+qT5jYERERkaZpNbF78eIFKleuDJFIVGCZuq/h0idM7IiIiEjTtDrcSZs2bZCQkKA0/fXr1wpPyhIRERFR6VI7sRMEocDWutTUVBgbG2skKCIiIiJSn8rDnSxYsAAAIBKJsGzZMpiamsrLcnJyEB4eDicnJ81HSEREREQqUTmxu3v3LoC8FruIiAgYGRnJyyQSCZycnPDNN99oPkIiIiIiUonaD0/4+vpi2rRpsLCw0FZMHy0+PEFERESapvXhTqhgTOyIiIhI07T6VCwRERERfZiY2BERERHpCSZ2RERERHqCiR0RERGRnihRYnfw4EF8+eWX8Pb2xvPnzwEAmzdvxsmTJzUaHBERERGpTu3EbseOHVi4cCFatGiBpKQk5ObmAgDKlSuHLVu2aDxAIiIiIlKN2ondtm3bMHfuXHz//fcQi/9/cWdnZ0RERGg0OCIiIiJSndqJ3bNnz1C3bl2l6RKJBGlpaRoJioiIiIjUp3ZiV7VqVdy7d09p+vnz51G7dm2NBEVERERE6lP5XbH5hg4ditmzZyMzMxMAEB4ejsOHD2PdunWYO3euxgMkIiIiItWU6JViAQEBWLlyJf79918AQKVKlTB69Gj07dtX4wF+TPhKMSIiItK0UntXbFpaGlJTU1GhQoWSVqFXmNgRERGRpmn1XbGrV69GVFQUAMDU1JRJHREREdEHQu3E7tixY2jfvj2+/PJLbN++HQkJCdqIi4iIiIjUVKJbsQ8ePEBgYCCOHDmC6OhoeHl5oVu3bmjbti1MTU21EedHgbdiiYiISNNKrY8dANy4cQOHDx/GsWPHkJGRgZCQkPep7qPGxI6IiIg0Tat97N5lZmYGExMTGBkZITs7+32rIyIiIqISUnscOwCIiorC4cOHcfjwYURGRqJJkyYYPXo0OnbsqOn4iIiIiEhFaid2/fr1w61bt+Do6IhevXqha9eusLOz00ZsRERERKQGtRM7T09PzJ8/H3Xq1NFGPERERERUQu/98AT9Pz48QURERJqmzsMTKrXYLViwAGPHjoWZmRkWLFhQ5Ly+vr4qfTERERERaZZKid3du3flT7zevXtXqwERERERUcnwVqwG8VYsERERaZpWx7Hz9fVFcnKy0vTU1FTehiUiIiLSIbUTu4MHDyIjI0Npenp6Og4dOqSRoIiIiIhIfSoPd5KcnAxBECAIAlJSUmBsbCwvy8nJwblz52BjY6OVIImIiIioeCondo0bN4ZIJIJIJEKHDh2UykUiEUaPHq3R4IiIiIhIdSo/PHH16lUIgoDBgwdjxYoVsLKykpcZGRnB3t6+zL+Bgg9PEBERkaap8/CE2k/FPn/+HJUrV4ZYrHb3PL3HxI6IiIg0TeMDFL+tSpUqAIC0tDS8ePECWVlZCuVOTk7qVklEREREGqB2YpeQkABfX1+cO3euwPJ79+69d1BEREREpD6176fOmzcPMpkMe/bsgYmJCTZs2ICFCxeiRo0a+P3337URIxERERGpQO0WuytXrmD16tVwcXGBSCSCvb09mjVrBgsLC6xduxYtW7bUQphEREREVBy1W+xSU1Pl49VZWVkhISEBACCVSvkeWSIiIiIdUjuxq1WrFiIjIwEAjo6O2L17N6Kjo7Fr1y5UrFhR4wESERERkWrUvhU7aNAgxMbGAgBGjRqF4cOHIzAwEEZGRli4cKHGAyQiIiIi1ag9jt270tLS8PjxY1SuXLnMv1KM49gRERGRpml1gGIqHBM7IiIi0jSND1C8YMEClb/c19dX5XmJiIiISHNUSuxUfdpVJBK9VzBEREREVHK8FatBvBVLREREmqbOrVi1hzvJ9/TpU5w/fx7p6ekAAOaHRERERLql9nAnr1+/xrhx43DlyhWIRCL89ddfqFatGqZOnQorKytMmTJFG3ESERERUTHUbrFbsGABDA0NcebMGZiYmMind+7cGefPn9docERERESkOrUTu4sXL2LixIn45JNPFKbXrFkTL1680Fhghdm+fTtat24NFxcX9O3bF+Hh4UXOf/ToUXTs2BEuLi7o1q0bzp49q1AuCAKWL18Ob29vuLq6YsiQIXjy5IkW14CIiIhIO0r0rti3W+ryvXnzBhKJRCNBFSYoKAgLFizAyJEjceDAATg5OWHYsGGIj48vcP6QkBBMmDABffr0wcGDB9GmTRuMHDkSERER8nnWr1+PrVu34ueff8aePXtgamqKYcOGISMjQ6vrQkRERKRpaid2jRs3xsGDBxWm5ebmYsOGDfDw8NBUXAXatGkT+vXrh969e6NOnTqYNWsWTExMsG/fvgLn9/f3R/PmzTF8+HDUrl0b48aNQ7169bBt2zYAea11/v7++P7779G2bVs4OTnhl19+QUxMDE6ePKnVdSEiIiLSNLUfnpg4cSKGDBmC27dvIysrC7/++isePnyIxMRE7Ny5UxsxAgAyMzNx584dfPfdd/JpYrEYXl5eCA0NLXCZsLAwDBkyRGGat7e3PGl79uwZYmNj4eXlJS+3tLREgwYNEBoaii5duqgV4+3bt5CTkyP/bGVVHjVq1ER6ejoiIu4rze/q6gYAePjwAVJTUxTKqlWrDmtrG8TFxeHFi2cKZRYWFnBwqIOcnBzcuXNLqd66devDyMgIkZGPkZQkUyj75BN7VKpUCW/evMa//z5VKDMxMYVU6ggAuHXrptKTzp9+6ghTU1NERf2L168TFMoqVqyEypXtkZychMePHymUGRoaoV69+gCAu3fvIDs7S6HcwaE2LCws8fLlC8TGxiiUWVvboFq16khLS8ODB/8olIlEIri4NAAARET8g/T0NIXy6tVroHx5a8TExODVK8VuApaW5VCrlgOysrJw794dvKt+fRcYGBjg8eOHSE5OViizt68KW1tbvH6dgKiofxXKzMzMUafOpwCA8PAwpXqlUieYmJjg6dMnSEx8o1BmZ/cJ7Ow+QVKSDJGRjxXKJBJjODnVBQDcuXMbOTnZCuUODnVgYWGBFy+eIy4uVqHMxqYCqlathtTUVDx8GKFQJhKJ4eLiCgD455/7yMhIVyivUaMmrKzKIzo6GtHRLxXKypWzQs2atZCZmYn795XHunR2doVYLMajRw+QkqJ4fFepUg0VKlRAfHw8nj+PUigzNzdH7dqfIjc3F7dvK3e1cHKqB4lEgidPIiGTJSqU2dlVhp2dHRIT3+Dp0ycKZcbGJnB0dAIA3LoVDkHIVSivU0cKMzMzPHsWhYQExbsAtrYVYW9fBcnJyXj8+KFCmYGBIerXdwYA3L9/D5mZiq39tWo5wNKyHKKjXyE6+pVCGa8ReXiN+H+8RuThNSLP/18jMgCoNtwJhBKQyWTC6tWrhTFjxgjDhw8Xli5dKkRHR5ekKpW9evVKkEqlQkhIiML0RYsWCX369Clwmfr16wuBgYEK07Zt2yZ4enoKgiAIN27cEKRSqVLsY8aMEcaOHat2jJaWlgIA+b++ffsLMlmacPlyqML0/H8yWZrw+nWK0KhRE6WyVavWCampGcLChYuVylq1aiPExSUJL1/GFljv3buPhTdvUoROnTorlc2fv0iIiZEJ/v7blcpcXRsIb96kCDExMkEikSiVX7sWKsTFJQkDBw5WKhsz5gchNTVDOHDgiFJZ5cr2wuvXKYJMliZUrmyvVH7gwBEhKSlNGDduglKZj89gISZGJly/rrwNJRKJEB+fJMTFJQkNGrgplW/btkOIiZEJc+cuUCrr2LGzkJSULty9+7jAbfjs2Svh9esUoWXL1kplCxYsFlJSMoTVq9crlTVu3FSIjZUJqakZBdZ7+XKo8Pp1itCv35dKZb6+04SYGJlw4ECAUlmtWg7CmzepQkyMTLC1tVUq//vvM0J8fJIwYsRIpbKhQ4cLaWmZwsmT55TKLCwshYSEZCEpKU1wdHRSKvf33yXIZGnCTz/9rFTWvXtPISZGJkREPCpwXV+8iBdiY5OE5s0/VypbvXqNEBMjE5YvX6VU1qyZt5CcnC5ERRV2fEcIb96kCt269VAqmzZtppCSki5s3bpLqczJqa4QEyMT0tIyBQsLS6XykyfPCQkJycK3336nVDZq1BghJkYmnDhxWqmsQgVbITExb984ODgolR88GCjExycLEyf6KpX17t1PSEvLLPQaER+fLCQnpxd6jUhMTBV+/XWpUlnr1m2FmBhZodeIiIhIISZGJnTp0kWpbOHCX4SYGJmwcaO/UpmLSwMhJSWj0GtEcPB1ITExVfj660FKZWPG/CAkJ6cLhw4FKZXZ29vL901B14iDB4OE+PhkYcKEH5XKBg8eKsTEyITLl68rlUkkEkEmSxNiYmQFXiP8/bcJCQnJwuzZ85XKOnToJKSlZRZ6jYiMfC6kpKQXeo148yZVWLfuD6WyJk2aCjExMiE5Ob3Aem/cCBdiYmTCl18OUCqbOnW6EBubJOzde1CprGZNByE1NW/fVKigfI04fvyUIJOlCd99V/A1IikpTTh9+oJSmaWlpXzfFHSN2Lp1lxAfnyT8/PNspbKePXsJMTEy4c6diALXNS7ujRATIxO8vZsrla1YsVp4/TpFWLp0hVKZl5e3kJqaITx7VvDxHR5+X0hJySj0GvH6dYqwa9cepbL8a0RSUnqB14gzZy4IMTEy4bvvRiiVjRo1RoiLSxKOHTupVFahQgX5vqlVS/kasXfvQSEpKU348ccpSmW9e/cTZLI0ITT0tsq5iFoDFGdlZWH48OGYNWsWatasqepiGhEdHY3PP/8cu3btgru7u3z6L7/8gmvXrmHv3r1Kyzg7O2PhwoXo2rWrfNr27duxatUqXLp0CSEhIRgwYADOnz+PSpUqyecZO3YsRCIRli1bplaMZ85cYosdf43z1/j/8Nd4HrbY5eE1Ig+vEf+P14g8qlwjMjIyULWqrdK6FkTtN0989tln2LVrV6kndpmZmXBzc4Ofnx/atm0rnz558mTIZDL8/vvvSsu0bNkSQ4YMUbgd6+fnh5MnTyIgIABRUVFo27YtDh48iLp168rnGThwIJycnDB9+nS1YuSbJ4iIiEjTtPrmiS+++AJ//vmn2kG9L4lEgvr16yM4OFg+LTc3F8HBwQoteG9zc3PD5cuXFaZdunQJbm5uAICqVauiYsWKCnUmJyfj5s2bhdZJRERE9KFS++GJnJwc7Ny5E5cuXYKzszNMTU0Vyn19fTUW3LuGDh2KyZMnw9nZGa6urtiyZQvS0tLQq1cvAMCkSZNgZ2eHCRMmAAAGDRoEHx8fbNy4ES1atEBQUBBu376N2bNnA8hrph80aBB+//131KhRA1WrVsXy5ctRqVIlhVZBIiIioo+B2oldREQE6tWrBwCIjIxUKBOJRJqJqhCdO3dGQkIC/Pz8EBsbi7p162LDhg2wtc277/zy5UuIxf/fCNmwYUMsXrwYy5Ytw9KlS1GzZk2sWrUKUqlUPs+3336LtLQ0zJgxAzKZDI0aNcKGDRtgbGys1XUhIiIi0jS1+9hR4djHjoiIiDRNq33siIiIiOjDpFJiN2PGDLx69ar4GZH32q+AgID3CoqIiIiI1KdSHzsbGxt06dIFDRs2RKtWreDs7Aw7OztIJBLIZDI8fPgQN27cQFBQECpVqiR/OIGIiIiISo/Kfezi4uKwd+9eBAUF4eFDxcH3zM3N4eXlhT59+uDzzz/XSqAfA/axIyIiIk1Tp49diR6eSExMxMuXL5Geng5ra2tUr15d60/EfgyY2BEREZGmqZPYqT3cCQBYWVnBysqqJIsSERERkZbwqVgiIiIiPcHEjoiIiEhPMLEjIiIi0hNM7IiIiIj0BBM7IiIiIj1Roqdijx07hqNHj+Lly5fIyspSKDtw4IBGAiMiIiIi9ajdYufv7w9fX1/Y2tri7t27cHFxQfny5REVFVWmBycmIiIi0jW1W+x27NiBOXPmoGvXrti/fz++/fZbVKtWDcuXL0diYqI2YiQiIiIiFajdYvfy5Uu4u7sDAExMTJCSkgIA6N69O44cOaLZ6IiIiIhIZWondra2tvKWucqVKyMsLAwA8OzZM5Tg7WREREREpCFq34r97LPPcOrUKdSrVw+9e/fGggULcPz4cdy+fRvt2rXTRoxEREREpAKRoGYzW25uLnJzc2FomJcTHjlyBKGhoahRowb69+8PiUSilUA/BnFxSWCjJREREWmSSATY2lqqNq+6id2LFy9QuXJliEQihemCIODly5ewt7dXpzq9wsSOiIiINE2dxE7tPnZt2rRBQkKC0vQ3b96gTZs26lZHRERERBqidmInCIJSax0ApKamwtjYWCNBEREREZH6VH54YsGCBQAAkUiEZcuWwdTUVF6Wk5OD8PBwODk5aT5CIiIiIlKJyond3bt3AeS12EVERMDIyEheJpFI4OTkhG+++UbzERIRERGRStR+eMLX1xfTpk2DhYWFtmL6aPHhCSIiItI0rT4VS4VjYkdERESapk5ip9Kt2FGjRqn85StXrlR5XiIiIiLSHJUSO0tL1bJEIiIiItId3orVIN6KJSIiIk3T6gDFAJCdnY1Lly5h165dSE5OBgBER0cjJSWlJNURERERkQaoPNxJvufPn2P48OF4+fIlMjMz0axZM1hYWGD9+vXIzMzE7NmztREnERERERVD7Ra7efPmwdnZGVevXlV400S7du1w+fJljQZHRERERKpTu8Xuxo0b2LlzJyQSicL0KlWqIDo6WmOBEREREZF61G6xy83NRW5urtL0V69ewdzcXCNBEREREZH61E7smjVrhi1btihMS0lJwYoVK9CiRQuNBUZERERE6lF7uJNXr15h2LBhEAQBT58+hbOzM548eQJra2ts374dFSpU0FasHzwOd0JERESapvVXimVnZ+PIkSP4559/kJqaivr166Nbt24wMTFRO1h9wsSOiIiINI3vitURJnZERESkaRp/V+zbgoODceLECTx//hwikQhVq1ZFhw4d0KRJE7UDJSIiIiLNUavFbsaMGdizZw+srKxQs2ZNeT87mUyGr776Cj/99JM2Y/3gscWOiIiINE0rLXYnTpzA/v37MX/+fPTs2RMikQhA3vAn+/fvx88//wwvLy+0adOmZFETERER0XtRebiTffv2YejQoejVq5c8qQMAsViMPn36YPDgwfjzzz+1EiQRERERFU/lxO7u3bto165doeXt27fHnTt3NBIUEREREalP5cTu9evXsLOzK7T8k08+wZs3bzQRExERERGVgMqJXVZWFoyMjAotNzAwQFZWlkaCIiIiIiL1qTXcybJly2BqalpgWVpamkYCIiIiIqKSUTmxa9KkCSIjI4ucp3Hjxu8dEBERERGVDN88oUEcx46IiIg0TZ1x7FTuY0dEREREHzYmdkRERER6gokdERERkZ5gYkdERESkJ5jYEREREemJEiV2169fx48//oj+/fsjOjoaAHDw4EFcv35do8ERERERkerUTuyOHz+OYcOGwcTEBHfv3kVmZiYAIDk5GWvXrtV4gERERESkGrUTu99//x2zZs3C3LlzYWj4/+MbN2zYEHfv3tVocG978+YNJkyYgIYNG6Jx48aYOnUqUlJSilwmIyMDs2bNgoeHB9zd3TF69GjExcXJy+/fv48ffvgBLVq0gKurKzp16oQtW7ZobR2IiIiItEntxC4yMrLAN0xYWlpCJpNpJKiC/Pjjj3j48CE2bdqENWvW4Pr165gxY0aRy8yfPx+nT5/GsmXLsHXrVsTExGDUqFHy8tu3b8PGxga//vorjhw5ghEjRmDp0qXYtm2b1taDiIiISFvUelcsANja2uLff/9F1apVFabfuHED1apV01hgb3v06BHOnz+PP//8Ey4uLgCA6dOn4z//+Q8mTZoEOzs7pWWSkpKwb98+LF68GJ6engDyEr3OnTsjLCwMbm5u6NOnj8Iy1apVQ1hYGP766y8MHDhQK+tCREREpC1qt9j169cP8+bNw82bNyESiRAdHY2AgAAsWrQIAwYM0EaMCA0NRbly5eRJHQB4eXlBLBYjPDy8wGVu376NrKwseHl5yafVrl0b9vb2CAsLK/S7kpKSUL58eU2FTkRERFRq1E7s/vOf/6Br164YMmQIUlNTMXDgQEyfPh39+/eHj4+PNmJEXFwcbGxsFKYZGhrCysoKsbGxhS5jZGSEcuXKKUyvUKFCocuEhITg6NGj6NevX4niNDLKawC1tDT532cDmJgYAQDMzSUQi0UQi0UwN5cAAExMjGBkZKCwjERiCGPjvHosLIwhEgGGhmKYmubVY2YmgYGB+H/1GBdRj8E79YhgYCCGqalEoR6RSAQLi7x6jI0NIZEo1qO4DsYQi/PqMTPLq8fU1AiGhmKIRHinnuK3hYGB6J16SrItRCXYFvn1KG4LxXoMlerJWwfDIraFpJBtoco2fXdbFL9NDQ0NCtkWuju+3t4Wuj6+dLktCjq+dLMtCj++3t0WysdXSc610ju+8rZF2Ty+eC0ve9fy/G2qCpEglOy19ZmZmfj333+RmpqK2rVrw9zcXO06Fi9ejPXr1xc5T1BQEE6cOIEDBw7g+PHjCmWenp4YPXo0vvrqK6XlAgMD4evri9u3bytM79OnDzw8PDBx4kSF6RERERg0aBAGDRqE//73v2qvCwDExSWhZFuTiIiIqGAiEWBra6nSvGr3sfP19cW0adNgYWGBOnXqyKenpqZizpw5WLBggcp1ffPNN+jZs2eR81SrVg22trZISEhQmJ6dnY3ExERUrFixwOVsbW2RlZUFmUym0GoXHx+vtMzDhw8xZMgQ9O/fv8RJHREREZGuqX0r9uDBg8jIyFCanp6ejkOHDqlVl42NDWrXrl3kP4lEAnd3d8hkMoXWt8uXLyM3Nxeurq4F1u3s7AwjIyMEBwfLpz1+/BgvXryAm5ubfNqDBw8waNAg9OjRA+PHj1crfiIiIqIPicqJXXJyMpKSkiAIAlJSUpCcnCz/l5iYiHPnzin1g9OU2rVro3nz5vjpp58QHh6OGzduYM6cOejSpYv8idjo6Gh07NhR/jCFpaUlevfujYULF+Ly5cu4ffs2pk6dCnd3d3lil3/7tVmzZhg6dChiY2MRGxur1DpIRERE9DFQ+VZs48aNIRKJIBKJ0KFDB6VykUiE0aNHazS4ty1evBhz5szB4MGDIRaL0b59e0yfPl1enpWVhcjISKSlpcmnTZ06FWKxGGPGjEFmZia8vb0xc+ZMefnx48eRkJCAgIAABAQEyKdXqVIFp06d0tq6EBEREWmDyg9PXL16FYIgYPDgwVixYgWsrKzkZUZGRrC3ty9wPLmyhA9PEBERkaap8/CE2k/FPn/+HJUrV4ZYrHb3PL3HxI6IiIg0TatPxVapUgUAkJaWhhcvXiArK0uh3MnJSd0qiYiIiEgD1E7sEhIS4Ovri3PnzhVYfu/evfcOioiIiIjUp/b91Hnz5kEmk2HPnj0wMTHBhg0bsHDhQtSoUQO///67NmIkIiIiIhWo3WJ35coVrF69Gi4uLhCJRLC3t0ezZs1gYWGBtWvXomXLlloIk4iIiIiKo3aLXWpqqny8OisrK/mYb1KpFHfv3tVsdERERESkMrUTu1q1aiEyMhIA4OjoiN27dyM6Ohq7du0q9PVeRERERKR9at+KHTRoEGJjYwEAo0aNwvDhwxEYGAgjIyMsXLhQ4wESERERkWrUHsfuXWlpaXj8+DEqV66stVeKfSw4jh0RERFpmjrj2L33KMOmpqaoX78+zM3N8ccff7xvdURERERUQmoldgkJCTh9+jQuXLiAnJwcAHnvaN2yZQtat26NdevWaSVIIiIiIiqeyn3srl+/jhEjRiA5ORkikQjOzs5YsGABRo4cCQMDA4waNQo9e/bUZqxEREREVASV+9j5+PigUqVK+O6773DgwAFs2rQJNWrUwPjx49GxY0dtx/lRYB87IiIi0jR1+tipnNh5eHhg+/btqFOnDtLT0+Hu7o4VK1agbdu27xWsPmFiR0RERJqmlYcnEhMTYW1tDQAwMTGBiYkJpFJpySIkIiIiIo1Taxy7hw8fysewA4DIyEikpqYqzOPk5KSZyIiIiIhILSrfinVycoJIJEJBs+dPF4lEuHfvnsaD/FjwViwRERFpmjq3YlVusfv7779LHBARERERaZ/KiV2VKlW0GQcRERERvaf3fvMEEREREX0YmNgRERER6QkmdkRERER6gokdERERkZ5gYkdERESkJ9QaoBgA4uLisGjRIgQHByMhIUFpXLuyPI4dERERkS6pndhNmTIFL1++xH//+19UqlRJGzERERERUQmondjduHEDO3bsQN26dbURDxERERGVkNp97CpXrlzga8WIiIiISLfUTuymTp2KJUuW4NmzZ9qIh4iIiIhKSCSo2fzWpEkTpKWlIScnByYmJjAyMlIov3r1qkYD/JjExSWBjZlERESkSSIRYGtrqdK8avexmzp1qtoBEREREZH2qd1iR4Vjix0RERFpmsZb7JKTk2FhYSH//6Lkz0dEREREpUulxK5Jkya4cOECKlSogMaNG0MkEinNIwgCRCIRBygmIiIi0hGVErstW7bAyspK/v8FJXZEREREpFsq97GLiopCtWrVtB3PR4197IiIiEjTtPJUbLt27WBvbw8PDw989tln8PDwwCeffFLiIImIiIhIs1Rusbty5QquXr2Kq1ev4ubNm8jKykK1atXkSZ6HhwdsbW21He8HjS12REREpGnqtNiVaLiTjIwMhISEyBO98PBwZGdnw8HBAUeOHFE7YH3BxI6IiIg0TeuJXb7MzEyEhITg3Llz2L17N1JTU8v0U7FM7IiIiEjTtJbYZWZm4ubNm7hy5QquXLmC8PBwfPLJJ2jSpAkaN26Mpk2bwt7evsSBf+yY2BEREZGmaSWxGzRoEMLDw1G1alV5ItekSRNUqlTpvYLVJ0zsiIiISNO08lTsjRs3ULFiRXz22Wdo2rQpmjRpAmtr6xIHSURERESapXKLXWpqKq5fv46rV6/iypUruHfvHmrVqoUmTZqgadOmaNq0KWxsbLQd7weNLXZERESkaaXy8ERycjJu3LghHwbl/v37qFmzJg4fPlyS6vQCEzsiIiLSNHUSO3FJv8TMzAzly5dH+fLlYWVlBUNDQzx69Kik1RERERHRe1K5xS43Nxe3b9+WPxEbEhKCtLQ02NnZyQco9vDwQJUqVbQd8weLLXZERESkaVq5FduwYUOkpaXB1tZWIZGrXr36ewWrT5jYERERkaZp5anYSZMmwcPDA7Vq1SpxYERERESkPe/15glSxBY7IiIi0rRSeXiCiIiIiD4sTOyIiIiI9AQTOyIiIiI98dEkdm/evMGECRPQsGFDNG7cGFOnTkVKSkqRy2RkZGDWrFnw8PCAu7s7Ro8ejbi4uALnff36NT7//HM4OjpCJpNpYxWIiIiItOqjSex+/PFHPHz4EJs2bcKaNWtw/fp1zJgxo8hl5s+fj9OnT2PZsmXYunUrYmJiMGrUqALnnTZtGhwdHbUROhEREVGp+CgSu0ePHuH8+fOYO3cuGjRogMaNG2P69Ok4cuQIoqOjC1wmKSkJ+/btw5QpU+Dp6QlnZ2fMnz8foaGhCAsLU5h3x44dSEpKwjfffFMKa0NERESkHR9FYhcaGopy5crBxcVFPs3LywtisRjh4eEFLnP79m1kZWXBy8tLPq127dqwt7dXSOwePnyI1atXY9GiRRCLP4rNQURERFSgjyKTiYuLg42NjcI0Q0NDWFlZITY2ttBljIyMUK5cOYXpFSpUkC+TmZmJH374ARMnToS9vb12giciIiIqJTpN7BYvXgxHR8ci/z169Ehr379kyRLUrl0b3bt310h9RkZ5L/KwtDT532cDmJgYAQDMzSUQi0UQi0UwN5cAAExMjGBkZKCwjERiCGPjvHosLIwhEgGGhmKYmubVY2YmgYGB+H/1GBdRj8E79YhgYCCGqalEoR6RSAQLi7x6jI0NIZEo1qO4DsYQi/PqMTPLq8fU1AiGhmKIRHinnuK3hYGB6J16SrItRCXYFvn1KG4LxXoMlerJWwfDIraFpJBtoco2fXdbFL9NDQ0NCtkWuju+3t4Wuj6+dLktCjq+dLMtCj++3t0WysdXSc610ju+8rZF2Ty+eC0ve9fy/G2qCp2+eSIhIQGvX78ucp5q1aohICAAixYtwrVr1+TTs7Oz4erqiuXLl6Ndu3ZKywUHB2PIkCG4du2aQqtdq1atMHjwYAwZMgTdu3dHREQERCIRAEAQBOTm5sLAwAAjRozAmDFj1FofvnmCiIiINE0r74rVBhsbG6VbrAVxd3eHTCbD7du34ezsDAC4fPkycnNz4erqWuAyzs7OMDIyQnBwMDp06AAAePz4MV68eAE3NzcAwIoVK5Ceni5f5tatW5g6dSq2b9+O6tWrv+faEREREZUunSZ2qqpduzaaN2+On376CbNmzUJWVhbmzJmDLl26wM7ODgAQHR2NwYMH45dffoGrqyssLS3Ru3dvLFy4EFZWVrCwsMDcuXPh7u4uT+zeTd7yWw9r166t1DePiIiI6EP3USR2QF5/vDlz5mDw4MEQi8Vo3749pk+fLi/PyspCZGQk0tLS5NOmTp0KsViMMWPGIDMzE97e3pg5c6YuwiciIiLSOp32sdM37GNHREREmqZOH7uPYrgTIiIiIioeEzsiIiIiPcHEjoiIiEhPMLEjIiIi0hNM7IiIiIj0BBM7IiIiIj3BxI6IiIhITzCxIyIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE8wsSMiIiLSE0zsiIiIiPQEEzsiIiIiPcHEjoiIiEhPMLEjIiIi0hNM7IiIiIj0BBM7IiIiIj3BxI6IiIhITzCxIyIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE8wsSMiIiLSE0zsiIiIiPQEEzsiIiIiPcHEjoiIiEhPMLEjIiIi0hNM7IiIiIj0BBM7IiIiIj3BxI6IiIhITzCxIyIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE8wsSMiIiLSE0zsiIiIiPQEEzsiIiIiPcHEjoiIiEhPMLEjIiIi0hNM7IiIiIj0hKGuA9AnIpGuIyAiIiJ9o05+IRIEQdBeKERERERUWngrloiIiEhPMLEjIiIi0hNM7IiIiIj0BBM7IiIiIj3BxI6IiIhITzCxIyIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE8wsSMiIiLSE0zsiIiIiPQEEzsiIiIiPWGo6wCo7Fi5ciW++uor2NjY6DoUolKVmZmJkydPIiwsDHFxcQAAW1tbuLu7o02bNpBIJDqOsOx49eoVLC0tYW5urjA9KysLYWFhaNKkiY4iK7vatGmDP/74AzVr1tR1KHqBiR1pXHJystI0QRCwZs0afP755/I/YhYWFqUdWpmzfft2nDhxAlZWVvjyyy/h6ekpL0tISEDfvn3x999/6zBC/ff06VMMGzYMMTExaNCgASpUqAAAuHfvHnbt2oVPPvkE69evR40aNXQcqX6LiYnBf//7X9y5cwcikQhdu3bFzJkz5QleYmIiBg0ahHv37uk4Uv3l7+9f4PSXL19i//79sLW1BQAMGjSoNMPSOyJBEARdB0H6pW7dugVOFwQBIpFI/l9eQLXL398fS5cuRa9evZCUlISjR49i9OjR+O677wAAcXFxaN68OfeDlg0dOhSmpqb45ZdflH7MJCcnY9KkScjIyMAff/yhowjLhsmTJyMyMhI//fQTkpKSsHjxYohEImzcuBFWVlaIi4uDt7c37t+/r+tQ9ZaTkxPs7OxgYGCgMP3FixeoVKkSDA0NIRKJ+GPzPbHFjjSuYsWKqFu3LoYOHQqxOK8bpyAIGDp0KObOnYuqVavqOMKyYffu3ZgzZw66desGABgwYABGjhyJ9PR0jB07VsfRlR0hISHYu3dvgS3UFhYWGDt2LPr166eDyMqWS5cuYdWqVXBxcQEA7Nq1C2PGjMHgwYOxefNmAIBIJNJhhPqvX79+CA8Px5IlS1C7dm359Pr162Pjxo2oU6eODqPTH3x4gjQuICAAhoaGWL16NWrUqIGmTZvCw8MDIpEIrq6uaNq0KZo2barrMPXes2fP4O7uLv/csGFDbNmyBXv27MGSJUt0GFnZYmlpiefPnxda/vz5c1haWpZiRGVTcnIyypUrJ/8skUiwcuVKVKlSBYMGDUJ8fLwOoysbZs+ejZEjR2LYsGHYtm2brsPRW0zsSOPKly+PVatWoWPHjujTpw8OHz6s65DKJGtra7x69UphmlQqxZYtW7B//378+uuvOoqsbOnbty8mT56MzZs34/79+4iLi0NcXBzu37+PzZs3w9fXF/3799d1mHqvatWq+OeffxSmGRoaYvny5ahWrRpGjBiho8jKlnbt2mH37t04ceIEhg8fjtjYWF2HpHfYx4606uHDh5gwYQLq1KmDY8eO4dChQ2xuLyUTJkxAhQoVMHXqVKWyBw8eYNCgQXjz5g372JWCdevWwd/fH3FxcfLbfYIgwNbWFoMHD8a3336r4wj136+//or79+8X2JcxOzsbo0ePxpkzZ3g+lBJBELBu3Tps3boVCQkJCAgI4N8GDWFiR1qXmZmJJUuW4MqVK1ixYgWqVaum65DKhPv37+POnTvo3bt3geURERH466+/MGrUqFKOrOyKiopSGO6E50Lpyc7ORnp6eqFP42dnZyM6OhpVqlQp5cjKttu3b+PGjRvo0aMHrKysdB2OXmBiR0RERKQn+FQsaU14eDhCQ0OVBmR1dXXVcWRlC/eD7j18+BDbtm1TGqDYzc0NAwcO5C2oUsL9oHvcB9rHFjvSuPj4eIwePRohISGwt7eXD8gaHx+PFy9eoGHDhlixYoV8OmlHfHw8Ro0ahdDQUO4HHTp79ixGjhyJ+vXrw9vbW2E/XLx4EXfu3MHq1avRvHlzHUeq37gfdI/7oHQwsSONGzNmDGJiYjB//nw4ODgolD1+/BhTp05FpUqV4Ofnp6MIywbuhw/DF198gTZt2hQ6duCKFSvw119/ITAwsJQjK1u4H3SP+6B0cLgT0rjz589jxowZSskEADg4OGD69Ok4f/68DiIrW7gfPgxPnjyRDxJdkC5duuDp06elGFHZxP2ge9wHpYOJHWmcRCIp8H2x+VJSUvjS81LA/fBhqFKlCs6ePVto+dmzZ2Fvb1+KEZVN3A+6x31QOvjwBGlc586dMWXKFPj6+sLT01M+vEBycjKCg4OxYMECdO3aVcdR6j/uhw/DmDFj8OOPP+LKlSvw8vKSv+g8Li4OwcHBOH/+PN8EUgq4H3SP+6B0sI8daVxmZibmzZuHffv2IScnB0ZGRgCArKwsGBgYoE+fPpg6dSpbi7SM++HDERISgq1btyIsLEw+0n7FihXh5uaGQYMGKbz6jbSH+0H3uA+0j4kdaU1ycjJu376t8Ei7s7NzoQOEknZwPxARlR1M7IiIiIj0BB+eoFJ369YtXLt2TddhlHncDx+GpUuXwtfXV9dhlHncD7rHfaAZfHiCSt2kSZPw5MkTvmxbx7gfPgyvXr3Cq1evdB1Gmcf9oHvcB5rBW7FU6qKjo5Gdnc2XbesY9wMRkf5hYkdEpGUJCQnYt2+f0vsx3d3d0atXL9jY2Og4wrKB+0H3uA+0j4kdaU1sbCxu3rypcPI2aNAAFStW1HFkZQv3g26Fh4dj+PDhMDExgZeXl8L7MYODg5Geno4NGzbAxcVFx5HqN+4H3eM+KB1M7EjjUlNTMWPGDAQFBUEkEsHKygoAkJiYCEEQ0KVLF8yePRumpqY6jlS/cT98GPr16wcnJyfMmjULIpFIoUwQBMycORP//PMPdu/eraMIywbuB93jPigdfCqWNG7evHm4desW1q5di/DwcFy6dAmXLl1CeHg41q1bh/DwcMybN0/XYeo97ocPw/379zF48GClP2QAIBKJMHjwYD7AUgq4H3SP+6B0MLEjjfvrr7+wYMECNG/eHAYGBvLpBgYG8Pb2xvz583H8+HEdRlg2cD98GGxtbXHr1q1Cy2/duiV/tRJpD/eD7nEflA4Od0Ial5ubK399VUGMjIyQm5tbihGVTdwPH4Zhw4bhp59+wu3bt+Hp6an0fsy9e/di0qRJOo5S/3E/6B73QelgHzvSuAkTJuDx48eYN28e6tWrp1B29+5dTJ8+HQ4ODli8eLGOIiwbuB8+HEFBQdi8eTPu3LmDnJwcAHktp/Xr18eQIUPQuXNnHUdYNnA/6B73gfYxsSONS0xMxIQJE3DhwgVYWVnJH19PSEiATCaDt7c3lixZgnLlyuk4Uv3G/fDhycrKwuvXrwEA1tbWRbaokvZwP+ge94H2MLEjrXn06JHSWEVubm6oXbu2jiMrW7gfiIjKDiZ2VCoiIyNRrVo1GBqyW6cucT8QEek3PhVLpaJz586IiorSdRhlHvcDEZF+Y2JHpYINwx8G7gciIv3GxI6IiIhITzCxIyIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE8wsSMiIiLSE0zsqFR8++23KF++vK7DKPO4H4iI9BvfPEFERESkJ9hiR0RERKQnmNgRERER6QkmdkRERER6gokdERERkZ5gYkdE9AHy8fHBvHnzdB0GEX1kDHUdABHRx8rR0bHI8lGjRmH06NGlFA0RERM7IqISu3Dhgvz/g4KC4Ofnh2PHjsmnmZmZ6SIsIirDeCuWiKiEKlasKP9naWkJkUgk/5yWloYff/wRXl5ecHd3R+/evXHp0iWF5bdv34727dvDxcUFXl5eGDNmTKHfdebMGTRq1AgBAQHaXi0i+oixxY6ISAtSU1PRokULjB8/HhKJBAcPHsSIESNw7Ngx2Nvb49atW5g3bx5++eUXuLu7IzExEdevXy+wrsDAQMycORNLlixBq1atSnlNiOhjwsSOiEgLnJyc4OTkJP88btw4nDx5EqdOncLAgQPx8uVLmJqaomXLlrCwsECVKlVQr149pXq2b9+O3377DWvWrEHTpk1LcxWI6CPExI6ISAtSUlKwcuVKnDlzBrGxscjJyUF6ejpevHgBAPDy8oK9vT3atm2L5s2bo3nz5mjXrh1MTU3ldRw/fhwJCQnYsWMHXF1ddbUqRPQRYR87IiItWLRoEU6cOIEffvgB27dvx8GDByGVSpGVlQUAsLCwwIEDB7B06VJUrFgRfn5+6N69O2QymbyOevXqwdraGvv27QNf601EqmBiR0SkBaGhoejZsyfatWsHR0dH2Nra4vnz5wrzGBoawsvLC5MmTUJAQACeP3+Oy5cvy8urVasGf39//P3335gzZ05prwIRfYR4K5aISAtq1KiBEydOoHXr1hCJRFi2bBlyc3Pl5adPn0ZUVBSaNGmCcuXK4ezZs8jNzUWtWrUU6qlVqxb8/f0xaNAgGBgYYNq0aaW9KkT0EWFiR0SkBVOmTMHUqVPx5ZdfwtraGt9++y1SUlLk5ZaWljhx4gRWrlyJjIwM1KhRA0uWLMGnn36qVJeDgwO2bNkCHx8fGBgYYMqUKaW5KkT0EREJ7LhBREREpBfYx46IiIhITzCxIyIiItITTOyIiIiI9AQTOyIiIiI9wcSOiIiISE8wsSMiIiLSE0zsiIiIiPQEEzsiIiIiPcHEjoiIiEhPMLEjIiIi0hNM7IiIiIj0BBM7IiIiIj3xf11izm9VCOh0AAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_preference_data_for_each_task(user_intersting_clips_3p5, \n", " ref_model_name=\"chirp-bluejay-t2\", \n", " target_model_name=\"chirp-bluejay-t2-vt-2\")" ] }, { "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": 71, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:08.095035Z", "start_time": "2024-05-26T00:25:07.782738Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:35:21.902618Z", "iopub.status.busy": "2025-09-24T12:35:21.902388Z", "iopub.status.idle": "2025-09-24T12:35:22.774488Z", "shell.execute_reply": "2025-09-24T12:35:22.773981Z", "shell.execute_reply.started": "2025-09-24T12:35:21.902604Z" } }, "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", "# TODO: concat play count / play duraiton needs to be somehow counted as well\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": 72, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:22.775269Z", "iopub.status.busy": "2025-09-24T12:35:22.775016Z", "iopub.status.idle": "2025-09-24T12:35:23.702316Z", "shell.execute_reply": "2025-09-24T12:35:23.701811Z", "shell.execute_reply.started": "2025-09-24T12:35:22.775255Z" } }, "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": 73, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:08.361849Z", "start_time": "2024-05-26T00:25:08.199583Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:35:23.703093Z", "iopub.status.busy": "2025-09-24T12:35:23.702860Z", "iopub.status.idle": "2025-09-24T12:35:24.070635Z", "shell.execute_reply": "2025-09-24T12:35:24.070143Z", "shell.execute_reply.started": "2025-09-24T12:35:23.703080Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Positive proportion of data meeting criteria: 39.60%\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": 74, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:08.523643Z", "start_time": "2024-05-26T00:25:08.367348Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:35:24.071425Z", "iopub.status.busy": "2025-09-24T12:35:24.071121Z", "iopub.status.idle": "2025-09-24T12:35:25.579428Z", "shell.execute_reply": "2025-09-24T12:35:25.578922Z", "shell.execute_reply.started": "2025-09-24T12:35:24.071411Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model Name Value Counts for Preferred Clips:\n", "----------------------------------------------------------------------\n", "Model Count Fraction\n", "----------------------------------------------------------------------\n", "chirp-crow-t1 134,704 73.92%\n", "chirp-bluejay-t2 17,012 9.34%\n", "chirp-carp-up-1 10,080 5.53%\n", "chirp-v3p5-engine-s-8 6,563 3.60%\n", "chirp-crow-engine-b 5,441 2.99%\n", "chirp-auk-t1 2,597 1.43%\n", "chirp-ahi-up-3 1,837 1.01%\n", "chirp-bass-up-3 897 0.49%\n", "chirp-v3p5-engine-t-6 853 0.47%\n", "chirp-bluejay-engine-b 827 0.45%\n", "chirp-v4-h-s-32 384 0.21%\n", "chirp-v3p5-engine-b 238 0.13%\n", "chirp-ahi-stem-12-t1 208 0.11%\n", "chirp-v4-h-t-6 175 0.10%\n", "chirp-auk-engine-b 123 0.07%\n", "chirp-auk-infill 90 0.05%\n", "chirp-v4-up-u-d-2-5 79 0.04%\n", "chirp-carp-up-c-2 69 0.04%\n", "chirp-v3p5-engine-upload-4 32 0.02%\n", "chirp-v3p5-engine-b-tau 16 0.01%\n", "chirp-crow-t2 9 0.00%\n", "chirp-v4-engine-b-tau 2 0.00%\n", "chirp-v4-engine-b 2 0.00%\n", "----------------------------------------------------------------------\n", "Total 182,238 100.00%\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": 75, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:09.198504Z", "start_time": "2024-05-26T00:25:08.885507Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:35:25.580183Z", "iopub.status.busy": "2025-09-24T12:35:25.579908Z", "iopub.status.idle": "2025-09-24T12:35:26.019662Z", "shell.execute_reply": "2025-09-24T12:35:26.019162Z", "shell.execute_reply.started": "2025-09-24T12:35:25.580168Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Validation passed!\n" ] } ], "source": [ "validate_preference_data(final_interesting_clips)" ] }, { "cell_type": "code", "execution_count": 76, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:26.020358Z", "iopub.status.busy": "2025-09-24T12:35:26.020154Z", "iopub.status.idle": "2025-09-24T12:35:26.059887Z", "shell.execute_reply": "2025-09-24T12:35:26.059470Z", "shell.execute_reply.started": "2025-09-24T12:35:26.020345Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of rows in final_interesting_clips for model chirp-v3p5-engine-t-6:\n", "1,706\n", "done (364476, 62)\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": 77, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:10.265241Z", "start_time": "2024-05-26T00:25:09.934743Z" }, "execution": { "iopub.execute_input": "2025-09-24T12:35:26.060498Z", "iopub.status.busy": "2025-09-24T12:35:26.060323Z", "iopub.status.idle": "2025-09-24T12:35:26.106703Z", "shell.execute_reply": "2025-09-24T12:35:26.106223Z", "shell.execute_reply.started": "2025-09-24T12:35:26.060486Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total Unique Users:\n", "--------------------\n", "90,630\n", "--------------------\n", "Series([], Name: count, dtype: int64)\n", "(0, 52)\n" ] } ], "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 = 3\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=99582951\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": 78, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:26.107435Z", "iopub.status.busy": "2025-09-24T12:35:26.107164Z", "iopub.status.idle": "2025-09-24T12:35:26.126804Z", "shell.execute_reply": "2025-09-24T12:35:26.126420Z", "shell.execute_reply.started": "2025-09-24T12:35:26.107422Z" } }, "outputs": [], "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=4,\n", "# )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Alpha testing user selection" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:26.127391Z", "iopub.status.busy": "2025-09-24T12:35:26.127233Z", "iopub.status.idle": "2025-09-24T12:35:26.143787Z", "shell.execute_reply": "2025-09-24T12:35:26.143425Z", "shell.execute_reply.started": "2025-09-24T12:35:26.127379Z" } }, "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": 80, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:26.144426Z", "iopub.status.busy": "2025-09-24T12:35:26.144200Z", "iopub.status.idle": "2025-09-24T12:35:26.158966Z", "shell.execute_reply": "2025-09-24T12:35:26.158614Z", "shell.execute_reply.started": "2025-09-24T12:35:26.144414Z" } }, "outputs": [], "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": "code", "execution_count": 81, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:26.164867Z", "iopub.status.busy": "2025-09-24T12:35:26.164686Z", "iopub.status.idle": "2025-09-24T12:35:27.470501Z", "shell.execute_reply": "2025-09-24T12:35:27.469988Z", "shell.execute_reply.started": "2025-09-24T12:35:26.164856Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "69423\n" ] } ], "source": [ "top_users = clip_df[clip_df[\"user_n_clips\"] >= 20][\"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": 82, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:27.471252Z", "iopub.status.busy": "2025-09-24T12:35:27.470999Z", "iopub.status.idle": "2025-09-24T12:35:29.034677Z", "shell.execute_reply": "2025-09-24T12:35:29.033999Z", "shell.execute_reply.started": "2025-09-24T12:35:27.471237Z" } }, "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": 83, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:29.035449Z", "iopub.status.busy": "2025-09-24T12:35:29.035307Z", "iopub.status.idle": "2025-09-24T12:35:29.211743Z", "shell.execute_reply": "2025-09-24T12:35:29.211054Z", "shell.execute_reply.started": "2025-09-24T12:35:29.035435Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "web: 295322 (81.03%)\n", "ios: 34884 (9.57%)\n", "android: 34270 (9.40%)\n" ] } ], "source": [ "print_out_value_counts_nicely(final_interesting_clips, \"source\")" ] }, { "cell_type": "code", "execution_count": 84, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:29.212859Z", "iopub.status.busy": "2025-09-24T12:35:29.212503Z", "iopub.status.idle": "2025-09-24T12:35:29.255670Z", "shell.execute_reply": "2025-09-24T12:35:29.255082Z", "shell.execute_reply.started": "2025-09-24T12:35:29.212842Z" } }, "outputs": [], "source": [ "def analyze_clip_data_with_snowflake(\n", " final_interesting_clips,\n", " target_model_name,\n", " top_users,\n", " snow_session,\n", " min_play_cut=5,\n", " low_duration_mode=False,\n", "):\n", " # select the df we want to squery for play counts\n", " subset_v4_clips_df_full = final_interesting_clips[\n", " final_interesting_clips[\"model_name\"] == target_model_name\n", " ].copy()\n", " print(\"match model\", subset_v4_clips_df_full.shape)\n", "\n", " pre_play_duration_mask = (\n", " subset_v4_clips_df_full[\"preference\"]\n", " & (subset_v4_clips_df_full[\"user_id\"].isin(top_users))\n", " & (\n", " (subset_v4_clips_df_full[\"reaction_play_count\"] >= min_play_cut)\n", " | (subset_v4_clips_df_full[\"concat_play_counts\"] >= min_play_cut)\n", " | (subset_v4_clips_df_full[\"upvote_count\"] >= 1) # positive signal leakage (strongest)\n", " )\n", " ) | ((~subset_v4_clips_df_full[\"preference\"]) & (subset_v4_clips_df_full[\"user_id\"].isin(top_users)))\n", " subset_v4_clips_df_all = subset_v4_clips_df_full[pre_play_duration_mask].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", " [v4_clip_ids[i : i + snow_batch_size] for i in range(0, len(v4_clip_ids), snow_batch_size)]\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", " # ML_SONG_SUMMARY_INFO_V1\n", " session_query = snow_session.sql(\n", " f\"\"\"select *\n", " from ML_SONG_SUMMARY_INFO\n", " where p_date = DATE(SYSDATE() - INTERVAL '3 HOUR')\n", " and p_hour = hour(SYSDATE() - INTERVAL '3 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(df_snow_test, on=\"str_id\", how=\"left\")\n", " subset_v4_clips_df_test[\"norm_play_frac\"] = (\n", " subset_v4_clips_df_test[\"sum_total_play_duration_5\"].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", " target_duration_column = \"sum_total_play_duration_5\"\n", " if low_duration_mode:\n", " target_duration_column = \"sum_total_play_duration_0\"\n", " # First subplot: Total play duration\n", " pos_play_time = subset_v4_clips_df_test[subset_v4_clips_df_test[\"preference\"]][\n", " target_duration_column\n", " ]\n", " neg_play_time = subset_v4_clips_df_test[~subset_v4_clips_df_test[\"preference\"]][\n", " target_duration_column\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\"]][\"norm_play_frac\"]\n", " neg_norm_play_frac = subset_v4_clips_df_test[~subset_v4_clips_df_test[\"preference\"]][\n", " \"norm_play_frac\"\n", " ]\n", "\n", " pos_norm_play_frac.hist(\n", " bins=np.linspace(0, 10, 100),\n", " alpha=0.5,\n", " label=f\"pos (mean={pos_norm_play_frac.mean():.2f}, median={pos_norm_play_frac.median():.2f})\",\n", " ax=ax2,\n", " )\n", " neg_norm_play_frac.hist(\n", " bins=np.linspace(0, 10, 100),\n", " alpha=0.5,\n", " label=f\"neg (mean={neg_norm_play_frac.mean():.2f}, median={neg_norm_play_frac.median():.2f})\",\n", " ax=ax2,\n", " )\n", " ax2.legend()\n", " ax2.set_xlabel(\"Normalized play counts (play duration/duration)\")\n", " ax2.set_ylabel(\"Log counts\")\n", " ax2.set_yscale(\"log\")\n", " ax2.set_title(\"Normalized play duration comparison (Log scale)\")\n", "\n", " 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[target_duration_column] >= 10)\n", " & (subset_v4_clips_df_test[\"user_id\"].isin(top_users))\n", " & (\n", " (\n", " subset_v4_clips_df_test[\"reaction_play_count\"] >= min_play_cut\n", " ) # used to be 3 -- increase to 5\n", " | (\n", " subset_v4_clips_df_test[\"concat_play_counts\"] >= min_play_cut\n", " ) # used to be 3 -- increase to 5\n", " | (subset_v4_clips_df_test[\"upvote_count\"] >= 1) # positive signal leakage (strongest)\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[target_duration_column] >= 10 if not low_duration_mode else 3)\n", " & (subset_v4_clips_df_test[\"user_id\"].isin(top_users))\n", " )\n", "\n", " # Calculate and print statistics\n", " frac_pass_play_duration = play_duration_mask.sum() / subset_v4_clips_df_test.shape[0]\n", " print(f\"Fraction of clips that pass the play duration cut: {frac_pass_play_duration:.4f}\")\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) / subset_v4_clips_df_test[\"request_id\"].nunique()\n", " )\n", " print(f\"Fraction of unique requests that pass play duration criteria: {fraction_requests_pass:.4f}\")\n", "\n", " # Final filtering and analysis\n", " subset_v4_clips_df_pass_duration = subset_v4_clips_df_test[play_duration_mask].copy()\n", " play_duration_mask_request_mask = subset_v4_clips_df_pass_duration[\"request_id\"].isin(\n", " subset_v4_clips_df_pass_duration[\"request_id\"]\n", " .value_counts()\n", " .index[subset_v4_clips_df_pass_duration[\"request_id\"].value_counts() == 2]\n", " )\n", " final_subset_v4_clips_df = subset_v4_clips_df_pass_duration[play_duration_mask_request_mask].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": 85, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:29.256477Z", "iopub.status.busy": "2025-09-24T12:35:29.256272Z", "iopub.status.idle": "2025-09-24T12:35:29.291814Z", "shell.execute_reply": "2025-09-24T12:35:29.291273Z", "shell.execute_reply.started": "2025-09-24T12:35:29.256462Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "chirp-crow-t1: 269408 (73.92%)\n", "chirp-bluejay-t2: 34024 (9.34%)\n", "chirp-carp-up-1: 20026 (5.49%)\n", "chirp-v3p5-engine-s-8: 13126 (3.60%)\n", "chirp-crow-engine-b: 10882 (2.99%)\n", "chirp-auk-t1: 5194 (1.43%)\n", "chirp-ahi-up-3: 3674 (1.01%)\n", "chirp-bass-up-3: 1794 (0.49%)\n", "chirp-v3p5-engine-t-6: 1706 (0.47%)\n", "chirp-bluejay-engine-b: 1654 (0.45%)\n", "chirp-v4-h-s-32: 768 (0.21%)\n", "chirp-v3p5-engine-b: 476 (0.13%)\n", "chirp-ahi-stem-12-t1: 416 (0.11%)\n", "chirp-v4-h-t-6: 350 (0.10%)\n", "chirp-carp-up-c-2: 272 (0.07%)\n", "chirp-auk-engine-b: 246 (0.07%)\n", "chirp-auk-infill: 180 (0.05%)\n", "chirp-v4-up-u-d-2-5: 158 (0.04%)\n", "chirp-v3p5-engine-upload-4: 64 (0.02%)\n", "chirp-v3p5-engine-b-tau: 32 (0.01%)\n", "chirp-crow-t2: 18 (0.00%)\n", "chirp-v4-engine-b-tau: 4 (0.00%)\n", "chirp-v4-engine-b: 4 (0.00%)\n" ] } ], "source": [ "print_out_value_counts_nicely(final_interesting_clips, \"model_name\")" ] }, { "cell_type": "code", "execution_count": 86, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:29.292700Z", "iopub.status.busy": "2025-09-24T12:35:29.292386Z", "iopub.status.idle": "2025-09-24T12:35:29.309711Z", "shell.execute_reply": "2025-09-24T12:35:29.309229Z", "shell.execute_reply.started": "2025-09-24T12:35:29.292685Z" } }, "outputs": [], "source": [ "# for this we eat the quality cost and get a bit more data\n", "# final_subset_auk_og_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-auk-t0\", top_users, snow_session, min_play_cut=3\n", "# )" ] }, { "cell_type": "code", "execution_count": 87, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:29.310495Z", "iopub.status.busy": "2025-09-24T12:35:29.310205Z", "iopub.status.idle": "2025-09-24T12:35:29.325449Z", "shell.execute_reply": "2025-09-24T12:35:29.324996Z", "shell.execute_reply.started": "2025-09-24T12:35:29.310480Z" } }, "outputs": [], "source": [ "# final_subset_upsample_diff_v1_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-v4-up-u-7\", top_users, snow_session, min_play_cut=5\n", "# )" ] }, { "cell_type": "code", "execution_count": 88, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:29.326354Z", "iopub.status.busy": "2025-09-24T12:35:29.325970Z", "iopub.status.idle": "2025-09-24T12:35:29.341117Z", "shell.execute_reply": "2025-09-24T12:35:29.340649Z", "shell.execute_reply.started": "2025-09-24T12:35:29.326339Z" } }, "outputs": [], "source": [ "# final_subset_upsample_diff_v1_df.to_pickle(\n", "# f\"/home/tony/Data/Preference/up_v2_d3/interesting_clips_diff_v1_20250528.pkl\",\n", "# )" ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:29.341960Z", "iopub.status.busy": "2025-09-24T12:35:29.341592Z", "iopub.status.idle": "2025-09-24T12:35:29.356663Z", "shell.execute_reply": "2025-09-24T12:35:29.356209Z", "shell.execute_reply.started": "2025-09-24T12:35:29.341945Z" } }, "outputs": [], "source": [ "# final_subset_auk_infill_30b_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-auk-infill\", top_users, snow_session, min_play_cut=3\n", "# )" ] }, { "cell_type": "code", "execution_count": 90, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:29.357410Z", "iopub.status.busy": "2025-09-24T12:35:29.357163Z", "iopub.status.idle": "2025-09-24T12:35:29.473994Z", "shell.execute_reply": "2025-09-24T12:35:29.473324Z", "shell.execute_reply.started": "2025-09-24T12:35:29.357397Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "count 364476.000000\n", "mean 0.903028\n", "std 3.312691\n", "min 0.000000\n", "25% 0.000000\n", "50% 0.000000\n", "75% 0.000000\n", "max 54.000000\n", "Name: user_n_upsample, dtype: float64\n" ] } ], "source": [ "# Calculate all counts at once\n", "upsample_counts = (final_interesting_clips[final_interesting_clips[\"task\"] == \"upsample\"]\n", " [\"user_id\"].value_counts()\n", " .to_dict())\n", "\n", "# Map is faster than merge for simple lookups\n", "final_interesting_clips[\"user_n_upsample\"] = (\n", " final_interesting_clips[\"user_id\"].map(upsample_counts).fillna(0).astype(int)\n", ")\n", "print(final_interesting_clips[\"user_n_upsample\"].describe())" ] }, { "cell_type": "code", "execution_count": 91, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:35:29.474879Z", "iopub.status.busy": "2025-09-24T12:35:29.474656Z", "iopub.status.idle": "2025-09-24T12:36:18.655660Z", "shell.execute_reply": "2025-09-24T12:36:18.655030Z", "shell.execute_reply.started": "2025-09-24T12:35:29.474864Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "match model (3674, 63)\n", "(2754, 63)\n", "(2754, 63)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 0%| | 0/1 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Fraction of clips that pass the play duration cut: 0.8177\n", "Number of unique requests passing play duration criteria: 1375\n", "Fraction of unique requests that pass play duration criteria: 0.9985\n", "Number of unique request IDs: 877, Total 1377\n", "Start --------------------------\n", "upsample: 2754 (100.00%)\n", "End --------------------------\n", "upsample: 1754 (100.00%)\n", "match model (158, 63)\n", "(146, 63)\n", "(146, 63)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 0%| | 0/1 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Fraction of clips that pass the play duration cut: 0.8014\n", "Number of unique requests passing play duration criteria: 73\n", "Fraction of unique requests that pass play duration criteria: 1.0000\n", "Number of unique request IDs: 44, Total 73\n", "Start --------------------------\n", "upsample: 146 (100.00%)\n", "End --------------------------\n", "upsample: 88 (100.00%)\n", "match model (1794, 63)\n", "(1520, 63)\n", "(1520, 63)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 0%| | 0/1 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Fraction of clips that pass the play duration cut: 0.6605\n", "Number of unique requests passing play duration criteria: 760\n", "Fraction of unique requests that pass play duration criteria: 1.0000\n", "Number of unique request IDs: 244, Total 760\n", "Start --------------------------\n", "fixed_infill: 798 (52.50%)\n", "upsample: 722 (47.50%)\n", "End --------------------------\n", "upsample: 438 (89.75%)\n", "fixed_infill: 50 (10.25%)\n" ] } ], "source": [ "final_subset_upsample_ahi_clips_df = analyze_clip_data_with_snowflake(\n", " final_interesting_clips, \"chirp-ahi-up-3\", top_users, snow_session, min_play_cut=3, low_duration_mode=True\n", ")\n", "final_subset_upsample_ahi_clips_df_2 = analyze_clip_data_with_snowflake(\n", " final_interesting_clips, \"chirp-v4-up-u-d-2-5\", top_users, snow_session, min_play_cut=3, low_duration_mode=True\n", ")\n", "final_subset_upsample_bass_clips_df_2 = analyze_clip_data_with_snowflake(\n", " final_interesting_clips, \"chirp-bass-up-3\", top_users, snow_session, min_play_cut=3, low_duration_mode=True\n", ")\n", "final_subset_bass_clips_df = pd.concat([final_subset_upsample_ahi_clips_df, final_subset_upsample_ahi_clips_df_2, final_subset_upsample_bass_clips_df_2])" ] }, { "cell_type": "code", "execution_count": 92, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T12:36:18.656595Z", "iopub.status.busy": "2025-09-24T12:36:18.656317Z", "iopub.status.idle": "2025-09-24T12:36:23.062569Z", "shell.execute_reply": "2025-09-24T12:36:23.061791Z", "shell.execute_reply.started": "2025-09-24T12:36:18.656580Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "match model (0, 63)\n", "(0, 63)\n", "(0, 63)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "0it [00:00, ?it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "ename": "ValueError", "evalue": "No objects to concatenate", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[92], line 13\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# final_subset_stem_clips_df = analyze_clip_data_with_snowflake(\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m# final_interesting_clips, \"chirp-v5-stem-v0\", top_users, snow_session, min_play_cut=1\u001b[39;00m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;66;03m# )\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[38;5;66;03m# final_interesting_clips, \"chirp-auk-t1\", top_users, snow_session, min_play_cut=5\u001b[39;00m\n\u001b[1;32m 12\u001b[0m \u001b[38;5;66;03m# )\u001b[39;00m\n\u001b[0;32m---> 13\u001b[0m final_subset_upsample_carp_clips_df \u001b[38;5;241m=\u001b[39m \u001b[43manalyze_clip_data_with_snowflake\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 14\u001b[0m \u001b[43m \u001b[49m\u001b[43mfinal_interesting_clips\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mchirp-bass-up-c-1\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_users\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msnow_session\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmin_play_cut\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m3\u001b[39;49m\n\u001b[1;32m 15\u001b[0m \u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn[84], line 61\u001b[0m, in \u001b[0;36manalyze_clip_data_with_snowflake\u001b[0;34m(final_interesting_clips, target_model_name, top_users, snow_session, min_play_cut, low_duration_mode)\u001b[0m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;28mlen\u001b[39m(snow_results))\n\u001b[1;32m 60\u001b[0m \u001b[38;5;66;03m# Process Snowflake results\u001b[39;00m\n\u001b[0;32m---> 61\u001b[0m df_snow_test \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconcat\u001b[49m\u001b[43m(\u001b[49m\u001b[43msnow_results\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 62\u001b[0m df_snow_test \u001b[38;5;241m=\u001b[39m df_snow_test\u001b[38;5;241m.\u001b[39mrename(columns\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m x: x\u001b[38;5;241m.\u001b[39mlower())\n\u001b[1;32m 63\u001b[0m df_snow_test \u001b[38;5;241m=\u001b[39m df_snow_test\u001b[38;5;241m.\u001b[39mrename(columns\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msong_id\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstr_id\u001b[39m\u001b[38;5;124m\"\u001b[39m})\n", "File \u001b[0;32m~/anaconda3/envs/suno_env_dev/lib/python3.10/site-packages/pandas/core/reshape/concat.py:382\u001b[0m, in \u001b[0;36mconcat\u001b[0;34m(objs, axis, join, ignore_index, keys, levels, names, verify_integrity, sort, copy)\u001b[0m\n\u001b[1;32m 379\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m copy \u001b[38;5;129;01mand\u001b[39;00m using_copy_on_write():\n\u001b[1;32m 380\u001b[0m copy \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m--> 382\u001b[0m op \u001b[38;5;241m=\u001b[39m \u001b[43m_Concatenator\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 383\u001b[0m \u001b[43m \u001b[49m\u001b[43mobjs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 384\u001b[0m \u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 385\u001b[0m \u001b[43m \u001b[49m\u001b[43mignore_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mignore_index\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 386\u001b[0m \u001b[43m \u001b[49m\u001b[43mjoin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 387\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 388\u001b[0m \u001b[43m \u001b[49m\u001b[43mlevels\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlevels\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 389\u001b[0m \u001b[43m \u001b[49m\u001b[43mnames\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnames\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 390\u001b[0m \u001b[43m \u001b[49m\u001b[43mverify_integrity\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mverify_integrity\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 391\u001b[0m \u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 392\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 393\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 395\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m op\u001b[38;5;241m.\u001b[39mget_result()\n", "File \u001b[0;32m~/anaconda3/envs/suno_env_dev/lib/python3.10/site-packages/pandas/core/reshape/concat.py:445\u001b[0m, in \u001b[0;36m_Concatenator.__init__\u001b[0;34m(self, objs, axis, join, keys, levels, names, ignore_index, verify_integrity, copy, sort)\u001b[0m\n\u001b[1;32m 442\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mverify_integrity \u001b[38;5;241m=\u001b[39m verify_integrity\n\u001b[1;32m 443\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcopy \u001b[38;5;241m=\u001b[39m copy\n\u001b[0;32m--> 445\u001b[0m objs, keys \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_clean_keys_and_objs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobjs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 447\u001b[0m \u001b[38;5;66;03m# figure out what our result ndim is going to be\u001b[39;00m\n\u001b[1;32m 448\u001b[0m ndims \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_ndims(objs)\n", "File \u001b[0;32m~/anaconda3/envs/suno_env_dev/lib/python3.10/site-packages/pandas/core/reshape/concat.py:507\u001b[0m, in \u001b[0;36m_Concatenator._clean_keys_and_objs\u001b[0;34m(self, objs, keys)\u001b[0m\n\u001b[1;32m 504\u001b[0m objs_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(objs)\n\u001b[1;32m 506\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(objs_list) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 507\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo objects to concatenate\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 509\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m keys \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 510\u001b[0m objs_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(com\u001b[38;5;241m.\u001b[39mnot_none(\u001b[38;5;241m*\u001b[39mobjs_list))\n", "\u001b[0;31mValueError\u001b[0m: No objects to concatenate" ] } ], "source": [ "# final_subset_stem_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-v5-stem-v0\", top_users, snow_session, min_play_cut=1\n", "# )\n", "# final_subset_upsample_ahi_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-ahi-up-3\", top_users, snow_session, min_play_cut=5\n", "# )\n", "# final_subset_upsample_ahi_clips_df_2 = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-v4-up-u-d-2-5\", top_users, snow_session, min_play_cut=5\n", "# )\n", "# final_subset_auk_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-auk-t1\", top_users, snow_session, min_play_cut=5\n", "# )\n", "final_subset_upsample_carp_clips_df = analyze_clip_data_with_snowflake(\n", " final_interesting_clips, \"chirp-bass-up-c-1\", top_users, snow_session, min_play_cut=3\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.063155Z", "iopub.status.idle": "2025-09-24T12:36:23.063438Z", "shell.execute_reply": "2025-09-24T12:36:23.063345Z", "shell.execute_reply.started": "2025-09-24T12:36:23.063336Z" } }, "outputs": [], "source": [ "# final_subset_bluejay_t1_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-bluejay-t1\", top_users, snow_session, min_play_cut=5\n", "# )\n", "final_subset_bluejay_t2_clips_df = analyze_clip_data_with_snowflake(\n", " final_interesting_clips, \"chirp-bluejay-t2\", top_users, snow_session, min_play_cut=5\n", ")\n", "# final_subset_bluejay_clips_df = pd.concat([final_subset_bluejay_t1_clips_df, final_subset_bluejay_t2_clips_df])\n", "final_subset_bluejay_clips_df = final_subset_bluejay_t2_clips_df" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.063986Z", "iopub.status.idle": "2025-09-24T12:36:23.064140Z", "shell.execute_reply": "2025-09-24T12:36:23.064068Z", "shell.execute_reply.started": "2025-09-24T12:36:23.064062Z" } }, "outputs": [], "source": [ "# final_subset_bluejay_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-bluejay-t1\", top_users, snow_session, min_play_cut=5\n", "# )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.064824Z", "iopub.status.idle": "2025-09-24T12:36:23.065181Z", "shell.execute_reply": "2025-09-24T12:36:23.065088Z", "shell.execute_reply.started": "2025-09-24T12:36:23.065079Z" } }, "outputs": [], "source": [ "# final_subset_auk_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-auk-t1\", top_users, snow_session, min_play_cut=5\n", "# )\n", "\n", "# final_subset_upsample_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-v4-up-u-7\", top_users, snow_session, min_play_cut=5\n", "# )\n", "# final_subset_s32_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-v4-h-s-32\", top_users, snow_session, min_play_cut=5\n", "# )\n", "# final_subset_t6_clips_df = analyze_clip_data_with_snowflake(\n", "# final_interesting_clips, \"chirp-v4-h-t-6\", top_users, snow_session, min_play_cut=5\n", "# )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.065606Z", "iopub.status.idle": "2025-09-24T12:36:23.065924Z", "shell.execute_reply": "2025-09-24T12:36:23.065840Z", "shell.execute_reply.started": "2025-09-24T12:36:23.065832Z" } }, "outputs": [], "source": [ "# print(\"auk\", final_subset_auk_clips_df.shape)\n", "# print(\"ahi\", final_subset_upsample_ahi_clips_df.shape)\n", "# print(\"ahi sneaked\", final_subset_upsample_ahi_clips_df_2.shape)\n", "# print(\"diff stem\", final_subset_stem_clips_df.shape)\n", "print(\"carp\", final_subset_upsample_carp_clips_df.shape)\n", "# cut at 5\n", "# s-32 (1221770, 95)\n", "# t-6 (409626, 95)\n", "# upsample (211348, 95)\n", "# vs cut at 10\n", "# s-32 (712578, 96)\n", "# t-6 (258662, 96)\n", "# upsample (80826, 96)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.066436Z", "iopub.status.idle": "2025-09-24T12:36:23.066783Z", "shell.execute_reply": "2025-09-24T12:36:23.066696Z", "shell.execute_reply.started": "2025-09-24T12:36:23.066687Z" } }, "outputs": [], "source": [ "# print_out_value_counts_nicely(final_subset_auk_clips_df, \"source\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.067250Z", "iopub.status.idle": "2025-09-24T12:36:23.067528Z", "shell.execute_reply": "2025-09-24T12:36:23.067442Z", "shell.execute_reply.started": "2025-09-24T12:36:23.067435Z" } }, "outputs": [], "source": [ "# total_ahi_df = pd.concat([final_subset_upsample_ahi_clips_df, final_subset_upsample_ahi_clips_df_2])\n", "# total_ahi_df = final_subset_upsample_ahi_clips_df.copy()\n", "# print(\"total ahi\", total_ahi_df.shape)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.067999Z", "iopub.status.idle": "2025-09-24T12:36:23.068351Z", "shell.execute_reply": "2025-09-24T12:36:23.068263Z", "shell.execute_reply.started": "2025-09-24T12:36:23.068255Z" } }, "outputs": [], "source": [ "# final_subset_auk_clips_df.to_pickle(\n", "# \"/home/tony/Data/Preference/auk_t1/interesting_clips_auk_t1_20250502.pkl\",\n", "# )\n", "# print(\"auk_t1\", final_subset_auk_clips_df.shape)\n", "# total_ahi_df.to_pickle(\n", "# \"/home/tony/Data/Preference/up_v2_d3/interesting_clips_ahi_d3_20250502.pkl\",\n", "# )\n", "# print(\"ahi_d3\", total_ahi_df.shape)\n", "# print(\"Saving done!\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Task usage stats" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.068784Z", "iopub.status.idle": "2025-09-24T12:36:23.069065Z", "shell.execute_reply": "2025-09-24T12:36:23.068980Z", "shell.execute_reply.started": "2025-09-24T12:36:23.068972Z" } }, "outputs": [], "source": [ "print_out_value_counts_nicely(clip_df, \"task\")" ] }, { "cell_type": "code", "execution_count": 98, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T15:00:09.231307Z", "iopub.status.busy": "2025-09-24T15:00:09.230885Z", "iopub.status.idle": "2025-09-24T15:00:09.794093Z", "shell.execute_reply": "2025-09-24T15:00:09.793391Z", "shell.execute_reply.started": "2025-09-24T15:00:09.231290Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--- User Summary ---\n", "Auk-only users: 2134\n", "Bluejay-only users: 23575\n", "Crow-only users: 79136\n", "Total auk users: 3807\n", "Total bluejay users: 25248\n", "Total crow users: 80530\n" ] } ], "source": [ "def summarize_user_sets(clip_df: pd.DataFrame) -> None:\n", " \"\"\"Prints a summary of unique users per model and exclusive user sets.\n", "\n", " Args:\n", " clip_df: DataFrame with columns 'model_name' and 'user_id'.\n", "\n", " Example:\n", " >>> summarize_user_sets(clip_df)\n", " --- User Summary ---\n", " Auk-only users: 123\n", " Bluejay-only users: 45\n", " Crow-only users: 67\n", " Total auk users: 200\n", " Total bluejay users: 150\n", " Total crow users: 180\n", " \"\"\"\n", " auk_users: Set = set(clip_df.loc[clip_df[\"model_name\"] == \"chirp-auk-t1\", \"user_id\"].unique())\n", " bluejay_users: Set = set(clip_df.loc[clip_df[\"model_name\"] == \"chirp-bluejay-t2\", \"user_id\"].unique())\n", " crow_users: Set = set(clip_df.loc[clip_df[\"model_name\"] == \"chirp-crow-t1\", \"user_id\"].unique())\n", "\n", " auk_only_users: Set = auk_users - bluejay_users\n", " bluejay_only_users: Set = bluejay_users - auk_users\n", " crow_only_users: Set = crow_users - (auk_users - bluejay_users)\n", "\n", " print(\"--- User Summary ---\")\n", " print(f\"Auk-only users: {len(auk_only_users)}\")\n", " print(f\"Bluejay-only users: {len(bluejay_only_users)}\")\n", " print(f\"Crow-only users: {len(crow_only_users)}\")\n", " print(f\"Total auk users: {len(auk_users)}\")\n", " print(f\"Total bluejay users: {len(bluejay_users)}\")\n", " print(f\"Total crow users: {len(crow_users)}\")\n", "\n", "summarize_user_sets(clip_df)" ] }, { "cell_type": "code", "execution_count": 93, "metadata": { "execution": { "iopub.execute_input": "2025-09-24T14:51:48.031836Z", "iopub.status.busy": "2025-09-24T14:51:48.031382Z", "iopub.status.idle": "2025-09-24T14:51:51.140189Z", "shell.execute_reply": "2025-09-24T14:51:51.139462Z", "shell.execute_reply.started": "2025-09-24T14:51:48.031817Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ ": 1440059 (57.49%)\n", "cover: 684510 (27.33%)\n", "artist_consistency: 141368 (5.64%)\n", "artist_cover: 88942 (3.55%)\n", "extend: 49201 (1.96%)\n", "playlist_condition: 32880 (1.31%)\n", "upload_extend: 27309 (1.09%)\n", "overpainting: 18944 (0.76%)\n", "underpainting: 12732 (0.51%)\n", "artist_extend: 8755 (0.35%)\n", "infill: 31 (0.00%)\n", "generate: 6 (0.00%)\n" ] } ], "source": [ "print_out_value_counts_nicely(clip_df[clip_df[\"model_name\"] == \"chirp-crow-t1\"], \"task\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.070818Z", "iopub.status.idle": "2025-09-24T12:36:23.070959Z", "shell.execute_reply": "2025-09-24T12:36:23.070891Z", "shell.execute_reply.started": "2025-09-24T12:36:23.070886Z" } }, "outputs": [], "source": [ "# plot_clip_distribution(clip_df[(clip_df[\"task\"] == \"cover\") & (clip_df[\"model_name\"] == \"chirp-v4-h-s-32\")& (clip_df[\"created_at\"] > \"2025-04-01 00:45:00\")])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.071565Z", "iopub.status.idle": "2025-09-24T12:36:23.071708Z", "shell.execute_reply": "2025-09-24T12:36:23.071638Z", "shell.execute_reply.started": "2025-09-24T12:36:23.071632Z" } }, "outputs": [], "source": [ "# bad_clip_df = clip_df[(clip_df[\"task\"] == \"cover\") & (clip_df[\"model_name\"] == \"chirp-v4-h-s-32\")& (clip_df[\"created_at\"] > \"2025-04-01 00:45:00\")]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.072389Z", "iopub.status.idle": "2025-09-24T12:36:23.072659Z", "shell.execute_reply": "2025-09-24T12:36:23.072575Z", "shell.execute_reply.started": "2025-09-24T12:36:23.072568Z" } }, "outputs": [], "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": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.073134Z", "iopub.status.idle": "2025-09-24T12:36:23.073469Z", "shell.execute_reply": "2025-09-24T12:36:23.073388Z", "shell.execute_reply.started": "2025-09-24T12:36:23.073380Z" } }, "outputs": [], "source": [ "task_mask_any = (\n", " (clip_df[\"task\"] == \"infill\")\n", " | (clip_df[\"task\"] == \"infill_intro\")\n", " | (clip_df[\"task\"] == \"infill_outro\")\n", " | (clip_df[\"task\"] == \"cover\")\n", " | (clip_df[\"task\"] == \"artist_consistency\")\n", " | (clip_df[\"task\"] == \"extend\")\n", " | (clip_df[\"task\"] == \"upload_extend\")\n", " | (clip_df[\"task\"] == \"upsample\")\n", ") & (clip_df[\"is_pro_user\"])\n", "print_task_usage_stats(clip_df, task_mask_any, \"any task\", n_pro_created)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.073876Z", "iopub.status.idle": "2025-09-24T12:36:23.074183Z", "shell.execute_reply": "2025-09-24T12:36:23.074101Z", "shell.execute_reply.started": "2025-09-24T12:36:23.074093Z" } }, "outputs": [], "source": [ "special_users = set(clip_df[clip_df[\"is_pro_user\"]][\"user_id\"].unique()).difference(\n", " clip_df[task_mask_any][\"user_id\"].unique()\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.074669Z", "iopub.status.idle": "2025-09-24T12:36:23.074942Z", "shell.execute_reply": "2025-09-24T12:36:23.074859Z", "shell.execute_reply.started": "2025-09-24T12:36:23.074851Z" } }, "outputs": [], "source": [ "print(len(special_users))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.075535Z", "iopub.status.idle": "2025-09-24T12:36:23.075686Z", "shell.execute_reply": "2025-09-24T12:36:23.075611Z", "shell.execute_reply.started": "2025-09-24T12:36:23.075606Z" } }, "outputs": [], "source": [ "potential_special_bot_mask = clip_df[\"user_id\"].isin(special_users)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.076079Z", "iopub.status.idle": "2025-09-24T12:36:23.076208Z", "shell.execute_reply": "2025-09-24T12:36:23.076150Z", "shell.execute_reply.started": "2025-09-24T12:36:23.076145Z" } }, "outputs": [], "source": [ "clip_df[potential_special_bot_mask][\"user_id\"].value_counts().describe()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.076581Z", "iopub.status.idle": "2025-09-24T12:36:23.076710Z", "shell.execute_reply": "2025-09-24T12:36:23.076651Z", "shell.execute_reply.started": "2025-09-24T12:36:23.076646Z" } }, "outputs": [], "source": [ "clip_df[potential_special_bot_mask][\"user_id\"].value_counts()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.077414Z", "iopub.status.idle": "2025-09-24T12:36:23.077726Z", "shell.execute_reply": "2025-09-24T12:36:23.077642Z", "shell.execute_reply.started": "2025-09-24T12:36:23.077630Z" } }, "outputs": [], "source": [ "clip_df[task_mask_image][\"user_id\"].value_counts().head(n=5)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.078224Z", "iopub.status.idle": "2025-09-24T12:36:23.078526Z", "shell.execute_reply": "2025-09-24T12:36:23.078443Z", "shell.execute_reply.started": "2025-09-24T12:36:23.078435Z" } }, "outputs": [], "source": [ "clip_df[task_mask_cover][\"user_id\"].value_counts().head(n=5)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.079030Z", "iopub.status.idle": "2025-09-24T12:36:23.079395Z", "shell.execute_reply": "2025-09-24T12:36:23.079305Z", "shell.execute_reply.started": "2025-09-24T12:36:23.079297Z" } }, "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": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.079822Z", "iopub.status.idle": "2025-09-24T12:36:23.080100Z", "shell.execute_reply": "2025-09-24T12:36:23.080015Z", "shell.execute_reply.started": "2025-09-24T12:36:23.080002Z" } }, "outputs": [], "source": [ "# total_clip_df[\"is_pro_user\"] = total_clip_df[\"user_id\"].isin(pro_users)\n", "# run_bot_detection(\n", "# total_clip_df,\n", "# reaction_df,\n", "# write_to_file=True,\n", "# cut_off_freq=0.95,\n", "# min_generations_for_no_reaction=6,\n", "# )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Infill test" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.080574Z", "iopub.status.idle": "2025-09-24T12:36:23.080845Z", "shell.execute_reply": "2025-09-24T12:36:23.080761Z", "shell.execute_reply.started": "2025-09-24T12:36:23.080754Z" } }, "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": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.081305Z", "iopub.status.idle": "2025-09-24T12:36:23.081577Z", "shell.execute_reply": "2025-09-24T12:36:23.081493Z", "shell.execute_reply.started": "2025-09-24T12:36:23.081485Z" } }, "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[\n", "# user_intersting_clips_3p5_task_mask_infill\n", "# ].copy()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.082061Z", "iopub.status.idle": "2025-09-24T12:36:23.082410Z", "shell.execute_reply": "2025-09-24T12:36:23.082324Z", "shell.execute_reply.started": "2025-09-24T12:36:23.082316Z" } }, "outputs": [], "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(\n", "# lambda x: get_infill_type(x), axis=1\n", "# )\n", "# clip_df_model_counts = df[\"infill_type\"].value_counts()\n", "# print(clip_df_model_counts)\n", "# plt.hist(df[\"infill_context_start_s\"], bins=np.linspace(-10, 300, 100))\n", "# plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.082829Z", "iopub.status.idle": "2025-09-24T12:36:23.083108Z", "shell.execute_reply": "2025-09-24T12:36:23.083026Z", "shell.execute_reply.started": "2025-09-24T12:36:23.083019Z" } }, "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": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.083853Z", "iopub.status.idle": "2025-09-24T12:36:23.084132Z", "shell.execute_reply": "2025-09-24T12:36:23.084048Z", "shell.execute_reply.started": "2025-09-24T12:36:23.084040Z" } }, "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": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.084597Z", "iopub.status.idle": "2025-09-24T12:36:23.084867Z", "shell.execute_reply": "2025-09-24T12:36:23.084784Z", "shell.execute_reply.started": "2025-09-24T12:36:23.084777Z" } }, "outputs": [], "source": [ "# model_counts = df[df[\"part_of_concat\"]][\"infill_type\"].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() / 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%}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Playlists" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.085340Z", "iopub.status.idle": "2025-09-24T12:36:23.085611Z", "shell.execute_reply": "2025-09-24T12:36:23.085527Z", "shell.execute_reply.started": "2025-09-24T12:36:23.085519Z" } }, "outputs": [], "source": [ "from snowflake.snowpark.functions import col as snow_col\n", "\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": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.086085Z", "iopub.status.idle": "2025-09-24T12:36:23.086277Z", "shell.execute_reply": "2025-09-24T12:36:23.086203Z", "shell.execute_reply.started": "2025-09-24T12:36:23.086197Z" } }, "outputs": [], "source": [ "playlist_df[\"user_id\"].nunique() / playlist_df.shape[0]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.086834Z", "iopub.status.idle": "2025-09-24T12:36:23.087199Z", "shell.execute_reply": "2025-09-24T12:36:23.087112Z", "shell.execute_reply.started": "2025-09-24T12:36:23.087103Z" } }, "outputs": [], "source": [ "playlist_id_to_user_id = playlist_df.set_index(\"id\")[\"user_id\"].to_dict()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.087609Z", "iopub.status.idle": "2025-09-24T12:36:23.087738Z", "shell.execute_reply": "2025-09-24T12:36:23.087680Z", "shell.execute_reply.started": "2025-09-24T12:36:23.087675Z" } }, "outputs": [], "source": [ "playlist_clip_df[\"user_id\"] = playlist_clip_df[\"playlist_id\"].apply(\n", " lambda x: playlist_id_to_user_id.get(x)\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.088312Z", "iopub.status.idle": "2025-09-24T12:36:23.088580Z", "shell.execute_reply": "2025-09-24T12:36:23.088496Z", "shell.execute_reply.started": "2025-09-24T12:36:23.088488Z" } }, "outputs": [], "source": [ "# playlist_clip_df[playlist_clip_df[\"user_id\"].isna()]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Other ppl's clip in playlists" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.089039Z", "iopub.status.idle": "2025-09-24T12:36:23.089363Z", "shell.execute_reply": "2025-09-24T12:36:23.089277Z", "shell.execute_reply.started": "2025-09-24T12:36:23.089270Z" } }, "outputs": [], "source": [ "unique_clips_in_playlist = playlist_clip_df[\"clip_id\"].unique()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.089784Z", "iopub.status.idle": "2025-09-24T12:36:23.090119Z", "shell.execute_reply": "2025-09-24T12:36:23.090037Z", "shell.execute_reply.started": "2025-09-24T12:36:23.090029Z" } }, "outputs": [], "source": [ "total_clip_id_to_user_id = (\n", " total_clip_df[total_clip_df[\"id\"].isin(unique_clips_in_playlist)]\n", " .set_index(\"s3_id\")[\"user_id\"]\n", " .to_dict()\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.090532Z", "iopub.status.idle": "2025-09-24T12:36:23.090853Z", "shell.execute_reply": "2025-09-24T12:36:23.090770Z", "shell.execute_reply.started": "2025-09-24T12:36:23.090762Z" } }, "outputs": [], "source": [ "playlist_clip_df[\"clip_user_id\"] = playlist_clip_df[\"clip_id\"].apply(\n", " lambda x: total_clip_id_to_user_id.get(x)\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.091249Z", "iopub.status.idle": "2025-09-24T12:36:23.091584Z", "shell.execute_reply": "2025-09-24T12:36:23.091499Z", "shell.execute_reply.started": "2025-09-24T12:36:23.091491Z" } }, "outputs": [], "source": [ "# v4_users = clip_df[clip_df[\"model_name\"].str.contains(\"v4\")][\"user_id\"].unique()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.092003Z", "iopub.status.idle": "2025-09-24T12:36:23.092380Z", "shell.execute_reply": "2025-09-24T12:36:23.092297Z", "shell.execute_reply.started": "2025-09-24T12:36:23.092288Z" } }, "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": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.092856Z", "iopub.status.idle": "2025-09-24T12:36:23.093005Z", "shell.execute_reply": "2025-09-24T12:36:23.092931Z", "shell.execute_reply.started": "2025-09-24T12:36:23.092926Z" } }, "outputs": [], "source": [ "# bad_ids_dict = run_bot_detection(\n", "# total_clip_df,\n", "# reaction_df,\n", "# write_to_file=False,\n", "# cut_off_freq=0.5,\n", "# min_generations_for_no_reaction=10,\n", "# return_bad_user_ids=True\n", "# )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.093478Z", "iopub.status.idle": "2025-09-24T12:36:23.093773Z", "shell.execute_reply": "2025-09-24T12:36:23.093689Z", "shell.execute_reply.started": "2025-09-24T12:36:23.093681Z" } }, "outputs": [], "source": [ "# print(len(bad_ids_dict[\"bad_pro_user_ids\"]))\n", "# print(len(pro_users))\n", "# good_pro_users = set(pro_users).difference(bad_ids_dict[\"bad_pro_user_ids\"])\n", "# print(len(good_pro_users))\n", "# with open(\"/home/tony/Work/good_pro_user_2024_11_22.json\", \"w\") as fp:\n", "# json.dump([int(x) for x in sorted(good_pro_users)], fp)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.094275Z", "iopub.status.idle": "2025-09-24T12:36:23.094655Z", "shell.execute_reply": "2025-09-24T12:36:23.094571Z", "shell.execute_reply.started": "2025-09-24T12:36:23.094563Z" } }, "outputs": [], "source": [ "# selected_indices = total_clip_df[\"prompt_text\"].apply(lambda x: bool(re.search(r'Wir ziehen durch die Straßen und die Clubs dieser', str(x), re.IGNORECASE)))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.095040Z", "iopub.status.idle": "2025-09-24T12:36:23.095306Z", "shell.execute_reply": "2025-09-24T12:36:23.095225Z", "shell.execute_reply.started": "2025-09-24T12:36:23.095218Z" } }, "outputs": [], "source": [ "final_interesting_clips[\"model_name\"] = final_interesting_clips.apply(\n", " lambda row: modify_model_name(row[\"model_name\"], row[\"metadata\"]), axis=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.095785Z", "iopub.status.idle": "2025-09-24T12:36:23.096125Z", "shell.execute_reply": "2025-09-24T12:36:23.096039Z", "shell.execute_reply.started": "2025-09-24T12:36:23.096031Z" } }, "outputs": [], "source": [ "# requests_with_vol = final_interesting_clips[final_interesting_clips[\"model_name\"].str.contains(\"chirp-v4-h-s-32-u-4-6\")][\"request_id\"].unique()\n", "# print(len(requests_with_vol))\n", "# vol_final_interesting_clips = final_interesting_clips[final_interesting_clips[\"request_id\"].isin(requests_with_vol)].copy()\n", "# get_preference_counts(\n", "# vol_final_interesting_clips,\n", "# title_name=\"subset test\",\n", "# )\n", "# # vol_final_interesting_clips.to_pickle(\n", "# # \"/home/tony/Data/Preference/13b_v32/interesting_clips_exp_20250219_full.pkl\",\n", "# # )\n", "# print(\"vol exps\", vol_final_interesting_clips.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## find a song with matching lyrics" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.096528Z", "iopub.status.idle": "2025-09-24T12:36:23.096796Z", "shell.execute_reply": "2025-09-24T12:36:23.096715Z", "shell.execute_reply.started": "2025-09-24T12:36:23.096708Z" } }, "outputs": [], "source": [ "# # takes ~ 3 mins\n", "# lyrics_session_query = snow_session.sql(\n", "# f\"\"\"select *\n", "# from CLIP\n", "# where REGEXP_LIKE(prompt_text, 'kwaśna.*')\n", "# \"\"\"\n", "# )\n", "# lyrics_matched_df = pd.DataFrame(lyrics_session_query.collect())\n", "# print(lyrics_matched_df.shape)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.097166Z", "iopub.status.idle": "2025-09-24T12:36:23.097289Z", "shell.execute_reply": "2025-09-24T12:36:23.097234Z", "shell.execute_reply.started": "2025-09-24T12:36:23.097230Z" } }, "outputs": [], "source": [ "# lyrics_matched_df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Find a specific user's creations" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.097956Z", "iopub.status.idle": "2025-09-24T12:36:23.098321Z", "shell.execute_reply": "2025-09-24T12:36:23.098232Z", "shell.execute_reply.started": "2025-09-24T12:36:23.098222Z" } }, "outputs": [], "source": [ "# user_session_query = snow_session.sql(\n", "# f\"\"\"select *\n", "# from CLIP\n", "# where user_id=62804651\n", "# \"\"\"\n", "# )\n", "# user_matched_df = pd.DataFrame(user_session_query.collect())\n", "# print(user_matched_df.shape)\n", "# # user_matched_df.to_csv(\"/home/tony/Data/for_minz_20250202.csv\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.098755Z", "iopub.status.idle": "2025-09-24T12:36:23.099050Z", "shell.execute_reply": "2025-09-24T12:36:23.098969Z", "shell.execute_reply.started": "2025-09-24T12:36:23.098960Z" } }, "outputs": [], "source": [ "final_interesting_clips = user_intersting_clips[\n", " user_intersting_clips[\"request_id\"].isin(final_good_enough_requests)\n", "].copy()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.099557Z", "iopub.status.idle": "2025-09-24T12:36:23.099804Z", "shell.execute_reply": "2025-09-24T12:36:23.099723Z", "shell.execute_reply.started": "2025-09-24T12:36:23.099716Z" }, "scrolled": true }, "outputs": [], "source": [ "get_preference_counts(\n", " final_interesting_clips,\n", " title_name=\"subset test\",\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.100315Z", "iopub.status.idle": "2025-09-24T12:36:23.100589Z", "shell.execute_reply": "2025-09-24T12:36:23.100504Z", "shell.execute_reply.started": "2025-09-24T12:36:23.100496Z" } }, "outputs": [], "source": [ "clip_df[\"model_name\"].value_counts()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.101074Z", "iopub.status.idle": "2025-09-24T12:36:23.101342Z", "shell.execute_reply": "2025-09-24T12:36:23.101259Z", "shell.execute_reply.started": "2025-09-24T12:36:23.101251Z" } }, "outputs": [], "source": [ "# Ensure we have datetime columns\n", "if (\n", " \"created_at\" not in clip_df.columns\n", " and \"p_date\" in clip_df.columns\n", " and \"p_hour\" in clip_df.columns\n", "):\n", " # Create a datetime from p_date and p_hour if created_at is not available\n", " clip_df[\"datetime\"] = pd.to_datetime(clip_df[\"p_date\"]) + pd.to_timedelta(\n", " clip_df[\"p_hour\"], unit=\"h\"\n", " )\n", "else:\n", " clip_df[\"datetime\"] = pd.to_datetime(clip_df[\"created_at\"])\n", "\n", "# Extract date and hour for grouping\n", "clip_df[\"date\"] = clip_df[\"datetime\"].dt.date\n", "clip_df[\"hour\"] = clip_df[\"datetime\"].dt.hour\n", "\n", "model_mask = clip_df[\"model_name\"].str.contains(\"chirp-v3p5-engine-s-8\")\n", "# model_mask = clip_df[\"model_name\"].str.endswith(\"-b\")\n", "# Group by date and hour and count clips\n", "date_hour_counts = clip_df[model_mask].groupby([\"date\", \"hour\"]).size()\n", "\n", "# Calculate like rate per date and hour if we have like information\n", "if \"upvote_count\" in clip_df.columns:\n", " date_hour_likes = (\n", " clip_df[model_mask].groupby([\"date\", \"hour\"])[\"upvote_count\"].mean()\n", " )\n", "else:\n", " # If we don't have direct like information, create a placeholder\n", " date_hour_likes = pd.Series(0, index=date_hour_counts.index)\n", " print(\"No like information found in the dataframe\")\n", "\n", "# Create a figure with a single plot that has two y-axes\n", "fig, ax1 = plt.subplots(figsize=(14, 10))\n", "\n", "# Create x-axis positions for the bars\n", "date_hour_index = date_hour_counts.index.tolist()\n", "x = np.arange(len(date_hour_index))\n", "\n", "# Plot number of clips per date and hour (bars)\n", "bars = ax1.bar(x, date_hour_counts.values, color=\"skyblue\", alpha=0.7)\n", "ax1.set_xlabel(\"Date and Hour\")\n", "ax1.set_ylabel(\"Number of Clips\", color=\"blue\")\n", "ax1.tick_params(axis=\"y\", labelcolor=\"blue\")\n", "\n", "# Set x-axis ticks and labels\n", "# Only show a subset of ticks for readability\n", "tick_step = max(1, len(date_hour_index) // 20) # Show at most 20 ticks\n", "tick_positions = [i for i in range(0, len(date_hour_index), tick_step)]\n", "tick_labels = [\n", " f\"{date_hour_index[i][0].strftime('%Y-%m-%d')} {date_hour_index[i][1]:02d}:00\"\n", " for i in tick_positions\n", "]\n", "ax1.set_xticks(tick_positions)\n", "ax1.set_xticklabels(tick_labels, rotation=45, ha=\"right\")\n", "ax1.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n", "\n", "# Add vertical lines to separate dates\n", "unique_dates = sorted(list(set([idx[0] for idx in date_hour_index])))\n", "date_boundaries = [0]\n", "for i in range(1, len(unique_dates)):\n", " # Find the first index where the date changes\n", " for j, (date, _) in enumerate(date_hour_index):\n", " if date == unique_dates[i]:\n", " date_boundaries.append(j - 0.5)\n", " break\n", "\n", "# Draw vertical lines at date boundaries\n", "for boundary in date_boundaries[1:]: # Skip the first boundary (0)\n", " ax1.axvline(x=boundary, color=\"gray\", linestyle=\"-\", alpha=0.3)\n", "\n", "# Create a second y-axis for like rate\n", "ax2 = ax1.twinx()\n", "line = ax2.plot(\n", " x,\n", " date_hour_likes.values,\n", " color=\"red\",\n", " marker=\"o\",\n", " linestyle=\"-\",\n", " linewidth=2,\n", " markersize=4,\n", ")\n", "ax2.set_ylabel(\"Like Rate\", color=\"red\")\n", "ax2.tick_params(axis=\"y\", labelcolor=\"red\")\n", "max_like_rate = date_hour_likes.max() if not date_hour_likes.empty else 0\n", "ax2.set_ylim(0, max_like_rate * 1.1 if max_like_rate > 0 else 1)\n", "\n", "# Add title and adjust layout\n", "plt.title(\n", " \"Clip Generation Count and Like Rate by Date and Hour, model: chirp-v3p5-engine-s-8\",\n", " fontsize=14,\n", ")\n", "fig.tight_layout()\n", "plt.show()\n", "\n", "# Print some statistics\n", "print(f\"Total clips: {len(clip_df)}\")\n", "if not date_hour_counts.empty:\n", " max_count_idx = date_hour_counts.idxmax()\n", " max_date, max_hour = max_count_idx\n", " print(\n", " f\"Date and hour with most clips: {max_date.strftime('%Y-%m-%d')} {max_hour:02d}:00 ({date_hour_counts.max()} clips)\"\n", " )\n", "if not date_hour_likes.empty and date_hour_likes.max() > 0:\n", " max_like_idx = date_hour_likes.idxmax()\n", " max_like_date, max_like_hour = max_like_idx\n", " print(\n", " f\"Date and hour with highest like rate: {max_like_date.strftime('%Y-%m-%d')} {max_like_hour:02d}:00 ({date_hour_likes.max():.2%})\"\n", " )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.101812Z", "iopub.status.idle": "2025-09-24T12:36:23.102084Z", "shell.execute_reply": "2025-09-24T12:36:23.101999Z", "shell.execute_reply.started": "2025-09-24T12:36:23.101991Z" } }, "outputs": [], "source": [ "# Ensure we have datetime columns\n", "if (\n", " \"created_at\" not in clip_df.columns\n", " and \"p_date\" in clip_df.columns\n", " and \"p_hour\" in clip_df.columns\n", "):\n", " # Create a datetime from p_date and p_hour if created_at is not available\n", " clip_df[\"datetime\"] = pd.to_datetime(clip_df[\"p_date\"]) + pd.to_timedelta(\n", " clip_df[\"p_hour\"], unit=\"h\"\n", " )\n", "else:\n", " clip_df[\"datetime\"] = pd.to_datetime(clip_df[\"created_at\"])\n", "\n", "# Extract date and hour for grouping\n", "clip_df[\"date\"] = clip_df[\"datetime\"].dt.date\n", "clip_df[\"hour\"] = clip_df[\"datetime\"].dt.hour\n", "\n", "model_mask = clip_df[\"model_name\"].str.contains(\"chirp-v3p5-engine-s-8\")\n", "# Group by date and hour and count clips\n", "date_hour_counts = clip_df[model_mask].groupby([\"date\", \"hour\"]).size()\n", "\n", "# Calculate like rate per date and hour if we have like information\n", "if \"has_action\" in clip_df.columns:\n", " date_hour_likes = clip_df[model_mask].groupby([\"date\", \"hour\"])[\"has_action\"].mean()\n", "else:\n", " # If we don't have direct like information, create a placeholder\n", " date_hour_likes = pd.Series(0, index=date_hour_counts.index)\n", " print(\"No like information found in the dataframe\")\n", "\n", "# Create a figure with a single plot that has two y-axes\n", "fig, ax1 = plt.subplots(figsize=(14, 10))\n", "\n", "# Create x-axis positions for the bars\n", "date_hour_index = date_hour_counts.index.tolist()\n", "x = np.arange(len(date_hour_index))\n", "\n", "# Plot number of clips per date and hour (bars)\n", "bars = ax1.bar(x, date_hour_counts.values, color=\"skyblue\", alpha=0.7)\n", "ax1.set_xlabel(\"Date and Hour\")\n", "ax1.set_ylabel(\"Number of Clips\", color=\"blue\")\n", "ax1.tick_params(axis=\"y\", labelcolor=\"blue\")\n", "\n", "# Set x-axis ticks and labels\n", "# Only show a subset of ticks for readability\n", "tick_step = max(1, len(date_hour_index) // 20) # Show at most 20 ticks\n", "tick_positions = [i for i in range(0, len(date_hour_index), tick_step)]\n", "tick_labels = [\n", " f\"{date_hour_index[i][0].strftime('%Y-%m-%d')} {date_hour_index[i][1]:02d}:00\"\n", " for i in tick_positions\n", "]\n", "ax1.set_xticks(tick_positions)\n", "ax1.set_xticklabels(tick_labels, rotation=45, ha=\"right\")\n", "ax1.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n", "\n", "# Add vertical lines to separate dates\n", "unique_dates = sorted(list(set([idx[0] for idx in date_hour_index])))\n", "date_boundaries = [0]\n", "for i in range(1, len(unique_dates)):\n", " # Find the first index where the date changes\n", " for j, (date, _) in enumerate(date_hour_index):\n", " if date == unique_dates[i]:\n", " date_boundaries.append(j - 0.5)\n", " break\n", "\n", "# Draw vertical lines at date boundaries\n", "for boundary in date_boundaries[1:]: # Skip the first boundary (0)\n", " ax1.axvline(x=boundary, color=\"gray\", linestyle=\"-\", alpha=0.3)\n", "\n", "# Create a second y-axis for like rate\n", "ax2 = ax1.twinx()\n", "line = ax2.plot(\n", " x,\n", " date_hour_likes.values,\n", " color=\"red\",\n", " marker=\"o\",\n", " linestyle=\"-\",\n", " linewidth=2,\n", " markersize=4,\n", ")\n", "ax2.set_ylabel(\"Like Rate\", color=\"red\")\n", "ax2.tick_params(axis=\"y\", labelcolor=\"red\")\n", "max_like_rate = date_hour_likes.max() if not date_hour_likes.empty else 0\n", "ax2.set_ylim(0, max_like_rate * 1.1 if max_like_rate > 0 else 1)\n", "\n", "# Add title and adjust layout\n", "plt.title(\n", " \"Clip Generation Count and Like Rate by Date and Hour, model: chirp-v3p5-engine-s-8\",\n", " fontsize=14,\n", ")\n", "fig.tight_layout()\n", "plt.show()\n", "\n", "# Print some statistics\n", "print(f\"Total clips: {len(clip_df)}\")\n", "if not date_hour_counts.empty:\n", " max_count_idx = date_hour_counts.idxmax()\n", " max_date, max_hour = max_count_idx\n", " print(\n", " f\"Date and hour with most clips: {max_date.strftime('%Y-%m-%d')} {max_hour:02d}:00 ({date_hour_counts.max()} clips)\"\n", " )\n", "if not date_hour_likes.empty and date_hour_likes.max() > 0:\n", " max_like_idx = date_hour_likes.idxmax()\n", " max_like_date, max_like_hour = max_like_idx\n", " print(\n", " f\"Date and hour with highest like rate: {max_like_date.strftime('%Y-%m-%d')} {max_like_hour:02d}:00 ({date_hour_likes.max():.2%})\"\n", " )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.102541Z", "iopub.status.idle": "2025-09-24T12:36:23.103002Z", "shell.execute_reply": "2025-09-24T12:36:23.102781Z", "shell.execute_reply.started": "2025-09-24T12:36:23.102772Z" } }, "outputs": [], "source": [ "# Calculate like rate per user\n", "user_stats = clip_df.groupby(\"user_id\").agg({\"is_deleted\": [\"count\", \"sum\"]})\n", "user_stats.columns = [\"total_clips\", \"liked_clips\"]\n", "user_stats[\"like_rate\"] = user_stats[\"liked_clips\"] / user_stats[\"total_clips\"]\n", "\n", "# Filter out users with very few clips for more meaningful analysis\n", "min_clips = 5\n", "filtered_users = user_stats[user_stats[\"total_clips\"] >= min_clips]\n", "\n", "# Plot the distribution of like rates\n", "plt.figure(figsize=(12, 8))\n", "plt.hist(\n", " filtered_users[\"like_rate\"], bins=50, alpha=0.7, color=\"skyblue\", edgecolor=\"black\"\n", ")\n", "plt.xlabel(\"Like Rate\", fontsize=12)\n", "plt.ylabel(\"Number of Users\", fontsize=12)\n", "plt.title(\n", " f\"Distribution of Like Rates per User (Users with {min_clips}+ clips)\", fontsize=14\n", ")\n", "plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n", "\n", "# Add statistics as text\n", "mean_like_rate = filtered_users[\"like_rate\"].mean()\n", "median_like_rate = filtered_users[\"like_rate\"].median()\n", "stats_text = (\n", " f\"Mean: {mean_like_rate:.2%}\\n\"\n", " f\"Median: {median_like_rate:.2%}\\n\"\n", " f\"Users analyzed: {len(filtered_users)} (with {min_clips}+ clips)\"\n", ")\n", "plt.annotate(\n", " stats_text,\n", " xy=(0.95, 0.95),\n", " xycoords=\"axes fraction\",\n", " ha=\"right\",\n", " va=\"top\",\n", " bbox=dict(boxstyle=\"round\", fc=\"white\", alpha=0.7),\n", ")\n", "\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# Print additional statistics\n", "print(f\"Total users with at least {min_clips} clips: {len(filtered_users)}\")\n", "print(f\"Mean like rate: {mean_like_rate:.2%}\")\n", "print(f\"Median like rate: {median_like_rate:.2%}\")\n", "\n", "# Show top users by like rate (with minimum clip count)\n", "temp_top_users = filtered_users.sort_values(\"like_rate\", ascending=False).head(10)\n", "print(\"\\nTop 10 users by like rate (minimum 5 clips):\")\n", "print(temp_top_users[[\"total_clips\", \"liked_clips\", \"like_rate\"]].reset_index())\n", "\n", "# Show users with most clips\n", "most_active = user_stats.sort_values(\"total_clips\", ascending=False).head(10)\n", "print(\"\\nTop 10 most active users:\")\n", "print(most_active[[\"total_clips\", \"liked_clips\", \"like_rate\"]].reset_index())" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.103495Z", "iopub.status.idle": "2025-09-24T12:36:23.103770Z", "shell.execute_reply": "2025-09-24T12:36:23.103688Z", "shell.execute_reply.started": "2025-09-24T12:36:23.103680Z" } }, "outputs": [], "source": [ "# Find users with 100% like rate (like_rate = 1.0)\n", "perfect_likers = filtered_users[filtered_users[\"like_rate\"] == 1.0]\n", "print(f\"Number of users with 100% like rate: {len(perfect_likers)}\")\n", "\n", "# Get the user IDs of these perfect likers\n", "perfect_liker_ids = perfect_likers.index.tolist()\n", "\n", "# Filter the clip dataframe to only include clips from these users\n", "perfect_clips = clip_df[clip_df[\"user_id\"].isin(perfect_liker_ids)]\n", "\n", "# Check how many clips we have from these users\n", "print(f\"Total clips from users with 100% like rate: {len(perfect_clips)}\")\n", "\n", "# Extract datetime information\n", "perfect_clips[\"created_datetime\"] = pd.to_datetime(perfect_clips[\"created_at\"])\n", "perfect_clips[\"date_hour\"] = perfect_clips[\"created_datetime\"].dt.strftime(\n", " \"%Y-%m-%d %H:00\"\n", ")\n", "\n", "# Count clips by date-hour\n", "date_hour_counts = perfect_clips[\"date_hour\"].value_counts().sort_index()\n", "\n", "# Create a single plot for date-hour distribution\n", "plt.figure(figsize=(16, 8))\n", "date_hour_counts.plot(kind=\"bar\", color=\"skyblue\", edgecolor=\"black\", alpha=0.7)\n", "plt.title(\n", " \"Generation Time Distribution by Date-Hour\\nfor Users with 100% Like Rate\",\n", " fontsize=14,\n", ")\n", "plt.xlabel(\"Date-Hour\", fontsize=12)\n", "plt.ylabel(\"Number of Clips\", fontsize=12)\n", "\n", "# Reduce the number of x-labels to avoid overcrowding\n", "total_labels = len(date_hour_counts)\n", "if total_labels > 0:\n", " # Show only about 10 labels evenly distributed\n", " step_size = max(1, total_labels // 10)\n", " plt.xticks(\n", " range(0, total_labels, step_size),\n", " [date_hour_counts.index[i] for i in range(0, total_labels, step_size)],\n", " rotation=45,\n", " ha=\"right\",\n", " )\n", "\n", "plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.3)\n", "\n", "# Add statistics as text annotation\n", "avg_clips_per_user = len(perfect_clips) / len(perfect_liker_ids)\n", "stats_text = (\n", " f\"Users with 100% like rate: {len(perfect_liker_ids)}\\n\"\n", " f\"Total clips: {len(perfect_clips)}\\n\"\n", " f\"Avg clips per user: {avg_clips_per_user:.1f}\"\n", ")\n", "\n", "# Add text box to the figure\n", "plt.annotate(\n", " stats_text,\n", " xy=(0.95, 0.95),\n", " xycoords=\"axes fraction\",\n", " ha=\"right\",\n", " va=\"top\",\n", " bbox=dict(boxstyle=\"round\", fc=\"white\", alpha=0.7),\n", ")\n", "\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# Print the top 5 date-hours with the most activity from perfect likers\n", "print(\"\\nTop 5 date-hours with most activity from users with 100% action rate:\")\n", "print(date_hour_counts.head(5))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.104244Z", "iopub.status.idle": "2025-09-24T12:36:23.104582Z", "shell.execute_reply": "2025-09-24T12:36:23.104495Z", "shell.execute_reply.started": "2025-09-24T12:36:23.104487Z" } }, "outputs": [], "source": [ "# Get play count statistics\n", "print(perfect_clips[\"is_deleted\"].value_counts())" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.104970Z", "iopub.status.idle": "2025-09-24T12:36:23.105245Z", "shell.execute_reply": "2025-09-24T12:36:23.105162Z", "shell.execute_reply.started": "2025-09-24T12:36:23.105155Z" } }, "outputs": [], "source": [ "perfect_clips[\"is_deleted\"].value_counts()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.105698Z", "iopub.status.idle": "2025-09-24T12:36:23.106077Z", "shell.execute_reply": "2025-09-24T12:36:23.105992Z", "shell.execute_reply.started": "2025-09-24T12:36:23.105983Z" } }, "outputs": [], "source": [ "# infill_clip_df = final_interesting_clips[(final_interesting_clips[\"task\"] == \"infill\") & (final_interesting_clips[\"model_name\"] == \"chirp-v4-6b-t-03\")]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.106450Z", "iopub.status.idle": "2025-09-24T12:36:23.106790Z", "shell.execute_reply": "2025-09-24T12:36:23.106706Z", "shell.execute_reply.started": "2025-09-24T12:36:23.106698Z" } }, "outputs": [], "source": [ "# infill_clip_df[infill_clip_df[\"part_of_concat\"]].head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.107183Z", "iopub.status.idle": "2025-09-24T12:36:23.107459Z", "shell.execute_reply": "2025-09-24T12:36:23.107376Z", "shell.execute_reply.started": "2025-09-24T12:36:23.107368Z" } }, "outputs": [], "source": [ "# all_pairs = clip_df[clip_df[\"request_id\"].isin(infill_clip_df[\"request_id\"].unique())].copy()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.108034Z", "iopub.status.idle": "2025-09-24T12:36:23.108192Z", "shell.execute_reply": "2025-09-24T12:36:23.108114Z", "shell.execute_reply.started": "2025-09-24T12:36:23.108109Z" } }, "outputs": [], "source": [ "# all_pairs[\"flagged\"].value_counts()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.108658Z", "iopub.status.idle": "2025-09-24T12:36:23.108974Z", "shell.execute_reply": "2025-09-24T12:36:23.108892Z", "shell.execute_reply.started": "2025-09-24T12:36:23.108884Z" } }, "outputs": [], "source": [ "selected_model_name = \"chirp-auk-t1\"\n", "test_clip_auk_df = final_interesting_clips[(final_interesting_clips[\"model_name\"] == selected_model_name )]\n", "print(\"selected_model_name\", test_clip_auk_df.shape)\n", "test_clip_df = final_interesting_clips[final_interesting_clips[\"request_id\"].isin(test_clip_auk_df[\"request_id\"].unique())].copy()\n", "print(\"selected_model_name\", test_clip_df.shape)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.109444Z", "iopub.status.idle": "2025-09-24T12:36:23.109791Z", "shell.execute_reply": "2025-09-24T12:36:23.109706Z", "shell.execute_reply.started": "2025-09-24T12:36:23.109698Z" } }, "outputs": [], "source": [ "# test_clip_df.to_pickle(\n", "# \"/home/tony/Data/Preference/auk/interesting_clips_exp_20250422_auk_t1.pkl\",\n", "# )\n", "# print(\"auk exps\", test_clip_df.shape)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.110209Z", "iopub.status.idle": "2025-09-24T12:36:23.110568Z", "shell.execute_reply": "2025-09-24T12:36:23.110485Z", "shell.execute_reply.started": "2025-09-24T12:36:23.110478Z" } }, "outputs": [], "source": [ "# subset_request_ids = user_intersting_clips_3p5[user_intersting_clips_3p5[\"model_name\"].isin([\"chirp-ahi-up-d-4-16\"])][\"request_id\"].unique()\n", "\n", "# test_subset_df = user_intersting_clips_3p5[user_intersting_clips_3p5[\"request_id\"].isin(subset_request_ids)]\n", "\n", "# test_subset_df.to_pickle(\n", "# \"/home/tony/Data/Preference/up_v2_d4/interesting_clips_exp_20250623_ab_d-4-16.pkl\",\n", "# )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.110959Z", "iopub.status.idle": "2025-09-24T12:36:23.111311Z", "shell.execute_reply": "2025-09-24T12:36:23.111226Z", "shell.execute_reply.started": "2025-09-24T12:36:23.111217Z" } }, "outputs": [], "source": [ "# from collections import defaultdict\n", "# from suno_utils.audio import Audio\n", "# audio_loundesses = defaultdict(list)\n", "# loundess_models = [\"chirp-ahi-up-d-4-24\", \"chirp-ahi-up-d-4-28\", \"chirp-ahi-up-d-4-32\", \"chirp-ahi-up-2\"]\n", "# for test_model in loundess_models:\n", "# subset_clip_df = final_interesting_clips[(final_interesting_clips[\"model_name\"] == test_model)][\"s3_id\"]\n", "# print(subset_clip_df.shape)\n", "# for index, s3_id in tqdm.tqdm(enumerate(subset_clip_df.unique())):\n", "# if index > 150:\n", "# break\n", "# try:\n", "# audio = Audio.from_s3(f\"s3://suno-data-uploads/studio/uploads/{s3_id}.mp3\", n_channels=2)\n", "# loudness = audio.loudness\n", "# audio_loundesses[test_model].append(loudness)\n", "# except:\n", "# pass\n", "# plt.clf()\n", "# for test_model in loundess_models:\n", "# plt.hist(audio_loundesses[test_model], label=f\"{test_model}, mean {round(np.mean(audio_loundesses[test_model]), 2)}\", alpha=0.5, bins=np.linspace(-20, -10, 50))\n", "# plt.legend()\n", "# plt.title(\"loudness war\")\n", "# plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.111727Z", "iopub.status.idle": "2025-09-24T12:36:23.111992Z", "shell.execute_reply": "2025-09-24T12:36:23.111912Z", "shell.execute_reply.started": "2025-09-24T12:36:23.111905Z" } }, "outputs": [], "source": [ "# final_interesting_clips[\"created_datetime\"] = pd.to_datetime(final_interesting_clips[\"created_at\"])\n", "# final_interesting_clips[\"hour\"] = final_interesting_clips[\"created_datetime\"].dt.strftime(\"%H\")\n", "# subset_request_ids = final_interesting_clips[final_interesting_clips[\"model_name\"].str.contains(\"tech\")][\"request_id\"].unique()\n", "# subset_final_interesting_clips = final_interesting_clips[final_interesting_clips[\"request_id\"].isin(subset_request_ids)].copy()\n", "# for fixed_hour in sorted(final_interesting_clips[\"hour\"].unique()):\n", "# print(\"Fixed hour\", fixed_hour)\n", "# get_preference_counts(\n", "# subset_final_interesting_clips[subset_final_interesting_clips[\"hour\"] == fixed_hour],\n", "# title_name=\"subset test\",\n", "# )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.112444Z", "iopub.status.idle": "2025-09-24T12:36:23.112784Z", "shell.execute_reply": "2025-09-24T12:36:23.112700Z", "shell.execute_reply.started": "2025-09-24T12:36:23.112692Z" } }, "outputs": [], "source": [ "# subset_request_ids = user_intersting_clips_3p5[user_intersting_clips_3p5[\"model_name\"].isin([\"chirp-auk-t1-d6\"])][\"request_id\"].unique()\n", "\n", "# subset_dur_user_intersting_clips_3p5 = user_intersting_clips_3p5[user_intersting_clips_3p5[\"request_id\"].isin(subset_request_ids)].copy()\n", "\n", "# subset_dur_user_intersting_clips_3p5[\"model_name\"].value_counts()\n", "\n", "# subset_dur_user_intersting_clips_3p5[subset_dur_user_intersting_clips_3p5[\"model_name\"] == \"chirp-auk-t1-d6\"][\"duration\"].describe()\n", "\n", "# subset_dur_user_intersting_clips_3p5[subset_dur_user_intersting_clips_3p5[\"model_name\"] == \"chirp-auk-t1\"][\"duration\"].describe()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.113207Z", "iopub.status.idle": "2025-09-24T12:36:23.113477Z", "shell.execute_reply": "2025-09-24T12:36:23.113395Z", "shell.execute_reply.started": "2025-09-24T12:36:23.113387Z" } }, "outputs": [], "source": [ "# total_clip_df[\"uses_slider\"] = total_clip_df[\"metadata\"].apply(lambda x: x.get(\"control_sliders\", {}) != {}) \n", "# total_clip_df[\"uses_slider\"].value_counts()\n", "# total_clip_df[total_clip_df[\"uses_slider\"]][\"user_id\"].nunique()\n", "# total_clip_df[~total_clip_df[\"uses_slider\"]][\"user_id\"].nunique()\n", "# slider_users = total_clip_df[total_clip_df[\"uses_slider\"]][\"user_id\"].unique()\n", "# slider_clip_df = total_clip_df[total_clip_df[\"user_id\"].isin(slider_users)].copy()\n", "# slider_clip_df[slider_clip_df[\"uses_slider\"]].shape[0]/ slider_clip_df.shape[0]\n", "\n", "# # Method 1: Create a dictionary with user_id as key and fraction as value\n", "# user_fractions_dict = {}\n", "# for user_id, user_df in slider_clip_df.groupby('user_id'):\n", "# total_clips = len(user_df)\n", "# true_clips = user_df['uses_slider'].sum() # Assuming xxx_field is boolean\n", "# fraction = true_clips / total_clips if total_clips > 0 else 0\n", "# user_fractions_dict[user_id] = fraction\n", "# plt.hist(user_fractions_dict.values(), bins=np.linspace(0, 1, 100))\n", "# plt.ylabel(\"number of users\")\n", "# plt.xlabel(\"frac of gens with sliders enabled\")\n", "# plt.show()\n", "# full_percent_users = set()\n", "# for user_id, frac in user_fractions_dict.items():\n", "# if frac == 1.0:\n", "# full_percent_users.add(user_id)\n", "# subset_full_percent_clip_df = total_clip_df[total_clip_df[\"user_id\"].isin(full_percent_users)].copy()\n", "# subset_full_percent_clip_df[\"source\"].value_counts()\n", "# subset_full_percent_clip_df.shape\n", "# subset_full_percent_clip_df[\"metadata\"].apply(lambda x: x.get(\"is_bot\", False)).value_counts()\n", "# list(full_percent_users)[:3]\n", "# subset_full_percent_clip_df[subset_full_percent_clip_df[\"user_id\"] == 93257733]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Save data to disk" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.113928Z", "iopub.status.idle": "2025-09-24T12:36:23.114200Z", "shell.execute_reply": "2025-09-24T12:36:23.114120Z", "shell.execute_reply.started": "2025-09-24T12:36:23.114113Z" } }, "outputs": [], "source": [ "final_subset_bass_clips_df = pd.concat([final_subset_upsample_ahi_clips_df, final_subset_upsample_ahi_clips_df_2, final_subset_upsample_bass_clips_df_2])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.114661Z", "iopub.status.idle": "2025-09-24T12:36:23.114961Z", "shell.execute_reply": "2025-09-24T12:36:23.114882Z", "shell.execute_reply.started": "2025-09-24T12:36:23.114874Z" } }, "outputs": [], "source": [ "final_bass_mask = (final_subset_bass_clips_df[\"task\"] == \"upsample\") & (final_subset_bass_clips_df[\"source\"] == \"web\") & (final_subset_bass_clips_df[\"user_n_clips\"] >= 100)\n", "# print(\"auk\", final_subset_auk_clips_df.shape)\n", "# print(\"ahi\", final_subset_upsample_ahi_clips_df.shape)\n", "# print(\"ahi sneaked\", final_subset_upsample_ahi_clips_df_2.shape)\n", "print(\"bluejay\", final_subset_bluejay_clips_df.shape)\n", "print(\"carp\", final_subset_upsample_carp_clips_df.shape)\n", "todays_save_date = \"20250924\"\n", "# final_subset_upsample_carp_clips_df.to_pickle(\n", "# f\"/home/tony/Data/Preference/carp_t1/interesting_clips_carp_t1_{todays_save_date}.pkl\",\n", "# )\n", "# print(\"carp\", final_subset_upsample_carp_clips_df.shape)\n", "# final_subset_bluejay_clips_df.to_pickle(\n", "# f\"/home/tony/Data/Preference/bluejay_t1/interesting_clips_bluejay_t1_{todays_save_date}.pkl\",\n", "# )\n", "# final_subset_bass_clips_df = final_subset_bass_clips_df[final_bass_mask].copy()\n", "# final_subset_bass_clips_df.to_pickle(\n", "# f\"/home/tony/Data/Preference/up_v2_d5/interesting_clips_ahi_d5_{todays_save_date}.pkl\",\n", "# )\n", "print(\"bluejay\", final_subset_bluejay_clips_df.shape)\n", "print(\"bass\", final_subset_bass_clips_df.shape)\n", "# # \n", "# final_subset_auk_og_clips_df.to_pickle(\n", "# f\"/home/tony/Data/Preference/auk_t0/interesting_clips_auk_t0_june_plus_{todays_save_date}.pkl\",\n", "# )\n", "# print(\"auk og\", final_subset_auk_og_clips_df.shape)\n", "\n", "# # final_subset_auk_infill_30b_clips_df.to_pickle(\n", "# # f\"/home/tony/Data/Preference/30b_t7/interesting_clips_30_infill_t1_{todays_save_date}.pkl\",\n", "# # )\n", "# print(\"bluejay\", final_subset_bluejay_clips_df.shape)\n", "print(f\"Saving done! to {todays_save_date}\")\n", "\n", "# auk (4743256, 90)\n", "# ahi (367122, 90)\n", "# ahi sneaked (22902, 90)\n", "# auk og (116910, 90)\n", "# ahi_d3 (390024, 90)\n", "# Saving done!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Explorations" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.115437Z", "iopub.status.idle": "2025-09-24T12:36:23.115775Z", "shell.execute_reply": "2025-09-24T12:36:23.115692Z", "shell.execute_reply.started": "2025-09-24T12:36:23.115684Z" } }, "outputs": [], "source": [ "# bots_action_df.to_pickle(\"/home/tony/Data/Usercluster/sample_20250617/bots_action.pkl\")\n", "# reaction_df.to_pickle(\"/home/tony/Data/Usercluster/sample_20250617/reaction.pkl\")\n", "# total_clip_df.to_pickle(\"/home/tony/Data/Usercluster/sample_20250617/total_clip.pkl\")\n", "# playlist_clip_df.to_pickle(\"/home/tony/Data/Usercluster/sample_20250617/playlist_clip.pkl\")\n", "# discord_info_df.to_pickle(\"/home/tony/Data/Usercluster/sample_20250617/discord_info.pkl\")\n", "# print(\"DONE\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.116210Z", "iopub.status.idle": "2025-09-24T12:36:23.116562Z", "shell.execute_reply": "2025-09-24T12:36:23.116479Z", "shell.execute_reply.started": "2025-09-24T12:36:23.116471Z" } }, "outputs": [], "source": [ "# clip_df[\"is_public\"].value_counts()\n", "# clip_df[\"is_instrumental\"] = clip_df[\"metadata\"].apply(parse_for_instrumental)\n", "# clip_df[clip_df[\"is_public\"] & clip_df[\"is_instrumental\"]].shape" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.116955Z", "iopub.status.idle": "2025-09-24T12:36:23.117270Z", "shell.execute_reply": "2025-09-24T12:36:23.117189Z", "shell.execute_reply.started": "2025-09-24T12:36:23.117181Z" } }, "outputs": [], "source": [ "# bluejay_df = total_clip_df[total_clip_df[\"model_name\"] == \"chirp-bluejay-t0\"].copy()\n", "# print_out_value_counts_nicely(bluejay_df, \"task\") # bluejay_df[\"task\"].value_counts()\n", "# print_out_value_counts_nicely(bluejay_df[bluejay_df[\"user_id\"].isin(bluejay_df[bluejay_df[\"task\"] == \"playlist_condition\"][\"user_id\"].unique())], \"task\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.117703Z", "iopub.status.idle": "2025-09-24T12:36:23.117969Z", "shell.execute_reply": "2025-09-24T12:36:23.117889Z", "shell.execute_reply.started": "2025-09-24T12:36:23.117882Z" } }, "outputs": [], "source": [ "# user_ids_set = final_subset_bluejay_clips_df[\"user_id\"].unique()\n", " \n", "# # Filter reactions to only those from the specified users\n", "# user_reactions = reaction_df[reaction_df[\"user_id\"].isin(user_ids_set)].copy()\n", "\n", "# # Join with clip_df to get the creator of each clip\n", "# # Rename columns to avoid conflicts\n", "# clip_info = clip_df[[\"id\", \"user_id\"]].rename(columns={\n", "# \"id\": \"clip_id\",\n", "# \"user_id\": 'clip_creator_id'\n", "# })\n", "\n", "# # Merge to get clip creator information\n", "# reactions_with_creators = user_reactions.merge(\n", "# clip_info,\n", "# on=\"clip_id\",\n", "# how='left'\n", "# )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.118447Z", "iopub.status.idle": "2025-09-24T12:36:23.118583Z", "shell.execute_reply": "2025-09-24T12:36:23.118517Z", "shell.execute_reply.started": "2025-09-24T12:36:23.118512Z" } }, "outputs": [], "source": [ "# # Filter out reactions where the reactor is the same as the clip creator\n", "# reactions_on_others = reactions_with_creators[\n", "# (reactions_with_creators[\"user_id\"] != reactions_with_creators['clip_creator_id']) & (~reactions_with_creators['clip_creator_id'].isna())\n", "# ].copy()\n", "# print(reactions_on_others[\"user_id\"].nunique(), len(user_ids_set))\n", "# # reactions_on_others.to_pickle(\"/home/tony/Data/Preference/user_reaction_interaction_20250820.pkl\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# user skills" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.119155Z", "iopub.status.idle": "2025-09-24T12:36:23.119486Z", "shell.execute_reply": "2025-09-24T12:36:23.119402Z", "shell.execute_reply.started": "2025-09-24T12:36:23.119394Z" } }, "outputs": [], "source": [ "def get_control_slider(metadata):\n", " \"\"\"Determine if the control slider is present for a given metadata dict.\n", "\n", " Args:\n", " metadata (dict): Metadata dictionary.\n", "\n", " Returns:\n", " Optional[bool]: True if 'mask_control_slider' experiment and 'control_sliders' present,\n", " False if 'mask_control_slider' but no 'control_sliders',\n", " None otherwise.\n", "\n", " Example:\n", " >>> get_control_slider({'param_experiment': 'mask_control_slider', 'control_sliders': [1]})\n", " True\n", " >>> get_control_slider({'param_experiment': 'mask_control_slider'})\n", " False\n", " >>> get_control_slider({'param_experiment': 'other'})\n", " None\n", " \"\"\"\n", " if metadata.get(\"param_experiment\") == \"mask_control_slider\":\n", " return bool(metadata.get(\"control_sliders\"))\n", " return None\n", "\n", "def fast_get_control_slider(meta_series: pd.Series) -> pd.Series:\n", " \"\"\"Efficiently determine control slider presence for a pandas Series of dicts.\n", "\n", " Args:\n", " meta_series (pd.Series): Series of metadata dicts.\n", "\n", " Returns:\n", " pd.Series: Series of Optional[bool] values as per get_control_slider.\n", "\n", " Example:\n", " >>> import pandas as pd\n", " >>> s = pd.Series([\n", " ... {'param_experiment': 'mask_control_slider', 'control_sliders': [1]},\n", " ... {'param_experiment': 'mask_control_slider'},\n", " ... {'param_experiment': 'other'},\n", " ... None\n", " ... ])\n", " >>> fast_get_control_slider(s).tolist()\n", " [True, False, None, None]\n", " \"\"\"\n", " # Use pd.Series.map for better performance than apply with lambda\n", " def _extract(meta):\n", " if isinstance(meta, dict) and meta.get(\"param_experiment\") == \"mask_control_slider\":\n", " return bool(meta.get(\"control_sliders\"))\n", " return None\n", "\n", " return meta_series.map(_extract)\n", "\n", "user_intersting_clips_3p5[\"mask_control\"] = fast_get_control_slider(user_intersting_clips_3p5[\"metadata\"])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.119868Z", "iopub.status.idle": "2025-09-24T12:36:23.120146Z", "shell.execute_reply": "2025-09-24T12:36:23.120065Z", "shell.execute_reply.started": "2025-09-24T12:36:23.120055Z" } }, "outputs": [], "source": [ "masked_request_id = user_intersting_clips_3p5[~user_intersting_clips_3p5[\"mask_control\"].isna()][\"request_id\"].unique()\n", "subset_df = user_intersting_clips_3p5[user_intersting_clips_3p5[\"request_id\"].isin(masked_request_id)].copy()\n", "print(\"check subset shape\", user_intersting_clips_3p5.shape, subset_df.shape)\n", "# control masked\n", "user_pref_pct = (\n", " subset_df[subset_df[\"mask_control\"] == True].groupby(\"user_id\")[\"preference\"]\n", " .apply(lambda x: x.mean())\n", ")\n", "print(user_pref_pct.head())\n", "# Plot a histogram of the user preference percentages\n", "plt.figure(figsize=(6, 4))\n", "plt.hist(user_pref_pct, bins=np.linspace(0, 1, 100), edgecolor=\"black\")\n", "plt.xlabel(\"Preference % for mask_control\")\n", "plt.ylabel(\"Number of Users\")\n", "plt.title(\"Histogram of User Preference for 'mask_control'\")\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.120599Z", "iopub.status.idle": "2025-09-24T12:36:23.120945Z", "shell.execute_reply": "2025-09-24T12:36:23.120860Z", "shell.execute_reply.started": "2025-09-24T12:36:23.120851Z" } }, "outputs": [], "source": [ "print(\"kakermix\", user_pref_pct[172918])\n", "print(\"mrtree\", user_pref_pct[4619874])\n", "print(\"furrybeans\", user_pref_pct.get(143287, \"NA\"))\n", "print(\"sadkins\", user_pref_pct.get(48551698, \"NA\"))\n", "print(\"ali\", user_pref_pct.get(15238229, \"NA\"))\n", "print(\"tony\", user_pref_pct.get(176212, \"NA\"))\n", "print(\"yamill\", user_pref_pct.get(54422841, \"NA\"))\n", "# print(\"jack\", user_pref_pct.get(4347497, \"NA\"))\n", "print(\"eke\", user_pref_pct.get(39194820, \"NA\"))\n", "print(\"martin\", user_pref_pct.get(20, \"NA\"))\n", "print(\"jonathanfly\", user_pref_pct.get(30, \"NA\"))\n", "print(\"pat\", user_pref_pct.get(103832, \"NA\"))\n", "print(\"3daizy\", user_pref_pct.get(762985, \"NA\"))\n", "print(\"chi\", user_pref_pct.get(17453732, \"NA\"))\n", "print(\"sam\", user_pref_pct.get(58252506, \"NA\"))\n", "print(\"ben studio\", user_pref_pct.get(51290160, \"NA\"))\n", "print(\"ashe\", user_pref_pct.get(36560506, \"NA\"))\n", "print(\"martin margu\", user_pref_pct.get(25049898, \"NA\"))\n", "print(\"spocks\", user_pref_pct.get(12729170, \"NA\"))\n", "print(\"justinbu\", user_pref_pct.get(35999066, \"NA\"))\n", "print(\"christian\", user_pref_pct.get(19725924, \"NA\"))\n", "print(\"christian\", user_pref_pct.get(19725924, \"NA\")) " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.121366Z", "iopub.status.idle": "2025-09-24T12:36:23.121637Z", "shell.execute_reply": "2025-09-24T12:36:23.121554Z", "shell.execute_reply.started": "2025-09-24T12:36:23.121547Z" } }, "outputs": [], "source": [ "user_counts = subset_df.groupby(\"user_id\")[\"preference\"].count()\n", "eligible_users = user_counts[user_counts >= 10].index\n", "len(eligible_users)\n", "# control masked\n", "eligible_user_pref_pct = (\n", " subset_df[subset_df[\"user_id\"].isin(eligible_users) & (subset_df[\"mask_control\"] == True)].groupby(\"user_id\")[\"preference\"]\n", " .apply(lambda x: x.mean())\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.122098Z", "iopub.status.idle": "2025-09-24T12:36:23.122372Z", "shell.execute_reply": "2025-09-24T12:36:23.122290Z", "shell.execute_reply.started": "2025-09-24T12:36:23.122283Z" } }, "outputs": [], "source": [ "print(eligible_user_pref_pct[eligible_user_pref_pct < 0.6].index.nunique())\n", "plt.figure(figsize=(6, 4))\n", "plt.hist(eligible_user_pref_pct, bins=np.linspace(0, 1, 100), edgecolor=\"black\")\n", "plt.xlabel(\"Preference % for mask_control\")\n", "plt.ylabel(\"Number of Users\")\n", "plt.title(\"Histogram of User Preference for 'mask_control'\")\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.status.busy": "2025-09-24T12:36:23.124119Z", "iopub.status.idle": "2025-09-24T12:36:23.124480Z", "shell.execute_reply": "2025-09-24T12:36:23.124389Z", "shell.execute_reply.started": "2025-09-24T12:36:23.124381Z" } }, "outputs": [], "source": [ "# with open(\"/home/tony/Data/top_user/mask_control_low.json\", \"w\") as fp:\n", "# json.dump(eligible_user_pref_pct[eligible_user_pref_pct < 0.6].index.unique().tolist(), fp)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "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 }