{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Select Preference Data" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:11:04.757824Z", "start_time": "2024-05-26T00:11:04.555293Z" }, "execution": { "iopub.execute_input": "2024-10-09T15:57:33.478579Z", "iopub.status.busy": "2024-10-09T15:57:33.478430Z", "iopub.status.idle": "2024-10-09T15:57:33.639289Z", "shell.execute_reply": "2024-10-09T15:57:33.638832Z", "shell.execute_reply.started": "2024-10-09T15:57:33.478563Z" } }, "outputs": [], "source": [ "# setup tailscale if you haven't\n", "# https://tailscale.com/kb/1031/install-linux\n", "!sudo tailscale up --accept-routes=true\n", "\n", "# setup autoload\n", "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:11:08.392310Z", "start_time": "2024-05-26T00:11:04.759383Z" }, "execution": { "iopub.execute_input": "2024-10-09T15:57:33.640052Z", "iopub.status.busy": "2024-10-09T15:57:33.639913Z", "iopub.status.idle": "2024-10-09T15:57:37.185101Z", "shell.execute_reply": "2024-10-09T15:57:37.184541Z", "shell.execute_reply.started": "2024-10-09T15:57:33.640037Z" } }, "outputs": [], "source": [ "# pip install psycopg2-binary\n", "# make sure sqlalchemy is >=2\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", "\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 get_preference_counts\n", "from suno_analytics.preference_data_selection import (\n", " gather_data,\n", " plot_clip_distribution,\n", " parse_metadata_for_basics,\n", " get_concat_clip_ids,\n", " validate_preference_data,\n", " run_bot_detection,\n", " print_out_value_counts_nicely,\n", " merge_concat_clips_with_reactions,\n", " plot_clip_basic_distributions,\n", ")\n", "\n", "\n", "# setup some pandas display stuff\n", "pd.set_option(\"display.max_rows\", 500)\n", "pd.set_option(\"display.max_columns\", 500)\n", "pd.set_option(\"display.width\", 1000)\n", "\n", "\n", "def get_secret():\n", " secret_name = \"rds!cluster-a3b66c33-40a7-47dd-bd6e-32b1c17c9124\"\n", " region_name = \"us-east-2\"\n", " # Create a Secrets Manager client\n", " session = boto3.session.Session()\n", " client = session.client(service_name=\"secretsmanager\", region_name=region_name)\n", " try:\n", " get_secret_value_response = client.get_secret_value(SecretId=secret_name)\n", " except ClientError as e:\n", " raise e\n", " secret = get_secret_value_response[\"SecretString\"]\n", " return json.loads(secret)\n", "\n", "\n", "my_secrets = get_secret()\n", "\n", "# alternative...\n", "engine = sqlalchemy.create_engine(\n", " \"postgresql://postgres:%s@suno-main-pgdb-prod-analytics.cnfvffydbwvc.us-east-2.rds.amazonaws.com/suno_main\"\n", " % quote(my_secrets[\"password\"])\n", ")\n", "\n", "\n", "home_dir = os.path.expanduser(\"~\")\n", "snow_password_path = os.path.join(home_dir, \".aws\", \"snow_pw.txt\")\n", "if os.path.exists(snow_password_path):\n", " # !pip install snowflake\n", " from snowflake.core import Root\n", " from snowflake.snowpark import Session\n", "\n", " with open(snow_password_path, \"r\") as fp:\n", " fp_lines = fp.readlines()\n", " snow_password = fp_lines[0].strip()\n", " snow_username = fp_lines[1].strip()\n", "\n", " CONNECTION_PARAMETERS = {\n", " \"account\": \"fu90569.us-east-2.aws\",\n", " \"user\": snow_username,\n", " \"password\": snow_password,\n", " \"role\": \"ACCOUNTADMIN\",\n", " \"database\": \"SUNO_PROD\",\n", " \"warehouse\": \"SUNO_PROD_LARGE\",\n", " \"schema\": \"PROD\",\n", " }" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Validate some info" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:11:08.550447Z", "start_time": "2024-05-26T00:11:08.397196Z" }, "execution": { "iopub.execute_input": "2024-10-09T15:57:37.186003Z", "iopub.status.busy": "2024-10-09T15:57:37.185777Z", "iopub.status.idle": "2024-10-09T15:57:37.204086Z", "shell.execute_reply": "2024-10-09T15:57:37.203608Z", "shell.execute_reply.started": "2024-10-09T15:57:37.185988Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2024-10-08 04:30:00\n" ] } ], "source": [ "# there are 4 hr time difference between eastern time and utc\n", "# cutoff_date = \"2024-09-12 21:00:00\" # covers beta out\n", "# cutoff_date = \"2024-09-19 05:00:00\" # covers t4-3 out\n", "# cutoff_date = \"2024-09-23 02:00:00\" # covers t4-11 out\n", "# cutoff_date = \"2024-09-24 12:30:00\" # covers t4-12-1 out\n", "# cutoff_date = \"2024-09-26 00:00:00\" # covers t4-12-1 out\n", "# cutoff_date = \"2024-09-30 01:45:00\" # covers t4-17 out\n", "# cutoff_date = \"2024-10-02 03:00:00\" # covers t4-15-r out\n", "# cutoff_date = \"2024-10-03 12:50:00\" # covers t4-21 out\n", "# cutoff_date = \"2024-10-04 13:50:00\" # covers t4-22 out\n", "# cutoff_date = \"2024-10-05 23:20:00\" # covers t4-23 out\n", "# cutoff_date = \"2024-10-06 05:00:00\" # covers t4-23-b5 out\n", "# cutoff_date = \"2024-10-06 13:00:00\" # covers t4-23-b20 out\n", "# cutoff_date = \"2024-10-07 13:30:00\" # covers t4-24-b20 out\n", "# cutoff_date = \"2024-10-08 00:10:00\" # covers t4-23-b40 out\n", "# cutoff_date = \"2024-10-08 12:40:00\" # covers t4-23-b80 out\n", "# cutoff_date = \"2024-10-08 14:20:00\" # covers t4-25-b40 out\n", "cutoff_date = \"2024-10-08 04:30:00\" # covers t4-25-b40 out again\n", "\n", "# cutoff_date = (datetime.datetime.now() - datetime.timedelta(hours=2)).astimezone(datetime.timezone.utc).strftime(\"%Y-%m-%d %H:%M:%S\")\n", "print(cutoff_date)\n", "\n", "target_model_name = \"chirp-v3p5-engine-t-3\"" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:11:09.349857Z", "start_time": "2024-05-26T00:11:08.551408Z" }, "execution": { "iopub.execute_input": "2024-10-09T15:57:37.204832Z", "iopub.status.busy": "2024-10-09T15:57:37.204685Z", "iopub.status.idle": "2024-10-09T15:57:37.565699Z", "shell.execute_reply": "2024-10-09T15:57:37.565245Z", "shell.execute_reply.started": "2024-10-09T15:57:37.204818Z" } }, "outputs": [], "source": [ "df_all_tables = pd.read_sql_query(\n", " \"SELECT table_name FROM information_schema.tables WHERE table_schema = 'public'\",\n", " engine,\n", ")\n", "# should have all the basic table names here\n", "assert df_all_tables[\"table_name\"].nunique() >= 61" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Query the DB" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T15:57:37.566589Z", "iopub.status.busy": "2024-10-09T15:57:37.566305Z", "iopub.status.idle": "2024-10-09T17:50:58.825950Z", "shell.execute_reply": "2024-10-09T17:50:58.825364Z", "shell.execute_reply.started": "2024-10-09T15:57:37.566574Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Start gather data from 2024-10-08 04:30:00\n", "Bots Action: 7,037,928 rows\n", " ---- Execution time: 113.74 seconds\n", "Reactions: 7,647,442 rows\n", " ---- Execution time: 791.64 seconds\n", "Total Clips: 7,424,030 rows\n", " ---- Execution time: 5842.32 seconds\n", "Playlist Clips: 92,283 rows\n", " ---- Execution time: 1.47 seconds\n", "Authenticated Users: 687,686 rows\n", " ---- Execution time: 17.07 seconds\n", "Discord Info: 320,576 rows\n", "subscription_status\n", "active 304488\n", "past_due 16088\n", "Name: count, dtype: int64\n", " ---- Execution time: 34.99 seconds\n" ] } ], "source": [ "gathered_data = gather_data(engine, cutoff_date) #, filter_model_name=target_model_name)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:50:58.827882Z", "iopub.status.busy": "2024-10-09T17:50:58.827619Z", "iopub.status.idle": "2024-10-09T17:50:59.360328Z", "shell.execute_reply": "2024-10-09T17:50:59.359762Z", "shell.execute_reply.started": "2024-10-09T17:50:58.827866Z" } }, "outputs": [], "source": [ "# uid_discord_info_query = \"\"\"\n", "# SELECT user_id, uid FROM bots_discordinfo\n", "# \"\"\"\n", "# discord_info_uid_df = pd.read_sql_query(\n", "# uid_discord_info_query,\n", "# engine,\n", "# )\n", "# # current active subscribers?\n", "# print(f\"Discord Info: {discord_info_uid_df.shape[0]:,} rows\")\n", "# user_id_to_exp_dict = {}\n", "# for _, row in discord_info_uid_df.iterrows():\n", "# user_id_to_exp_dict[row[\"user_id\"]] = str(row[\"uid\"])[-1].isnumeric()\n", "# with open(\"user_id_to_exp_dict.json\", \"w\") as fp:\n", "# json.dump(user_id_to_exp_dict, fp)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:50:59.361340Z", "iopub.status.busy": "2024-10-09T17:50:59.361187Z", "iopub.status.idle": "2024-10-09T17:50:59.417076Z", "shell.execute_reply": "2024-10-09T17:50:59.416615Z", "shell.execute_reply.started": "2024-10-09T17:50:59.361325Z" } }, "outputs": [], "source": [ "# unpack the information\n", "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", "auth_user_df = gathered_data[\"auth_user_df\"]\n", "discord_info_df = gathered_data[\"discord_info_df\"]" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:50:59.417839Z", "iopub.status.busy": "2024-10-09T17:50:59.417694Z", "iopub.status.idle": "2024-10-09T17:51:11.950241Z", "shell.execute_reply": "2024-10-09T17:51:11.949641Z", "shell.execute_reply.started": "2024-10-09T17:50:59.417825Z" } }, "outputs": [], "source": [ "# parse out the necessary metadata early\n", "total_clip_df[[\"continued_parent\", \"duration\", \"source\", \"clip_type\", \"task\"]] = pd.DataFrame(\n", " total_clip_df[\"metadata\"].map(parse_metadata_for_basics).tolist(), index=total_clip_df.index\n", ")" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:51:11.951196Z", "iopub.status.busy": "2024-10-09T17:51:11.951037Z", "iopub.status.idle": "2024-10-09T17:51:20.951432Z", "shell.execute_reply": "2024-10-09T17:51:20.950902Z", "shell.execute_reply.started": "2024-10-09T17:51:11.951181Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total clips: 7424030\n", "total without model: 297354\n", "uploads: 61118\n", "stems: 236033\n" ] }, { "data": { "image/png": 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vX56bbrop//znP9d479X5ebyTL37xi3nf+96Xc845J7W1tatcf/XVV3PLLbckSYYPH54kpY9XGjduXKPryds/+yeffLLRurvvvvtd74ZeHZ07d37Hf0f+/eiT5O2jWT74wQ82+veuyF133ZWGhobSx3fccUeWLl1a+t7tvvvu6dKlS6677rpG61aqr69fky9jrZT7ZwAA0JI52gUAYCPwxz/+MTNmzMiyZctSW1ubxx57LJMnT85WW22VH/zgB4XHLlx77bV58sknM3z48Gy99dapq6vL7bffni222CI777xzkuSDH/xgNtlkk9x55515//vfn/e9733ZYYcdSnfbrqlu3brlyCOPzEEHHZS6urrccsst2WabbXLYYYeV1hx66KH55S9/mS9+8Yv5zGc+k1dffTUPPPDAKsfUrMlse+65Z4YOHZrvfve7ee2119K/f/9Mnjw5v/3tb3PssccWHoGzJg4//PDcddddGTVqVJ599tlsvfXW+eUvf5k//elPOfvss1c5F3t1jRo1KjNnzszFF1+cX/3qV9ljjz2yySab5B//+Ed+8YtfZMaMGdlvv/3WeN/V+Xm8kw9+8IO5/PLL89WvfjX77rtvPve5z6Vfv35ZsmRJpk2bll/84helh9AOGDAgBx54YO66667MmTMnu+66a/7v//4vEyZMyN57752Pf/zjpX0PPfTQnHfeefnyl7+cYcOG5fnnn88jjzySTTfddI2/tpU++tGP5o477sj3v//9bLPNNunevXuqqqqy33775WMf+1g++tGP5gMf+ED+7//+L7/85S9z9NFHr9a+DQ0NOe644/KZz3wmf/vb33L77bdn5513zl577ZXk7SNwzj///Jx11lk56KCDsu+++6Z79+6ZNWtW/vCHP2SnnXbKueee2+Sva02U+2cAANCSCekAABuBsWPHJkkqKirygQ98IP369cvZZ5+dgw466D2j7Z577pnXXnst99xzT958881suumm+djHPpYvf/nL6dq1a2nfSy+9NFdeeWXOP//8LF26NGPGjGlySD/55JPzwgsv5Ec/+lHmz5+fqqqqnHfeeaW7y5O37+QdNWpUxo0bl9GjR2fgwIH54Q9/mG9/+9uN9lqT2dq2bZsf/OAHGTt2bCZOnJh77703W2+9dc4666z893//d5O+lnfSqVOn3Hbbbbn88sszYcKEzJs3L9tuu23GjBlTCstN0blz51x//fW59957c9999+X73/9+Fi1alM022yxDhw7N5Zdfns0333yN912dn8e72WuvvXL//ffnxhtvzG9/+9vccccd6dChQ/r3759Ro0Y1ivEXX3xxevXqlQkTJuQ3v/lNevTokZNOOimnnXZaoz0PO+yw1NTU5Kc//WkmTZqUnXfeOePGjctxxx23xl/bSqeeempmzZqVG264IfPnz8/HPvaxVFVVZcSIEfnd736XyZMnZ8mSJdlqq63yla98JSNHjlytfc8999w88MADGTt2bBoaGrLffvvlnHPOaXSUzAEHHJDNNtssP/rRj3LjjTdmyZIl2XzzzbPLLrus1b8PTVHOnwEAQEvWZkU5noQEAAC0eI899liOOeaYfO9738unP/3pco+zQbn33nvzzW9+Mz/96U8zaNCgco8DAMBackY6AAAAAAAUENIBAAAAAKCAkA4AAAAAAAWckQ4AAAAAAAXckQ4AAAAAAAWEdAAAAAAAKCCkAwAAAABAASEdAAAAAAAKtC/3ABujurq58YhXAAAAAIDm1aZNUlnZda33EdLLYMWKCOkAAAAAABsIR7sAAAAAAEABIR0AAAAAAAoI6QAAAAAAUEBIBwAAAACAAkI6AAAAAAAUENIBAAAAAKCAkA4AAAAAAAWEdAAAAAAAKCCkAwAAAABAASEdAAAAAAAKCOkAAAAAAFBASAcAAAAAgAJCOgAAAAAAFBDSAQAAAACggJAOAAAAAAAFhHQAAAAAACggpAMAAAAAQAEhHQAAAAAACgjpAAAAAABQQEgHAAAAAIACQjoAAAAAABQQ0gEAAAAAoICQDgAAAAAABYR0AAAAAAAoIKQDAAAAAECB9uUeAAAAAACgJaqpmZn6+rq12qN798r06tV7HU1EuQjpAAAAAAD/oaZmZqqG7ZLFixau1T4dO3XO1ClPiukbOCEdAFhj7soAAABau/r6uixetDCV+5+Zisqm/dmloW5m6h68IvX1df78s4ET0gGANeKuDAAAYGNSUdk7HbfoW+4xKDMhHQBYI+7KAAAAYGMjpAMATeKuDAAAADYWbcs9AAAAAAAAtGRCOgAAAAAAFBDSAQAAAACggDPSAWADUlMzM/X1dWu1R/fulR7wCQAAtGj+7ENLI6QDwAaipmZmqobtksWLFq7VPh07dc7UKU/6DeU61FJ+k99S5gAAgLXhzz60REI6AGwg6uvrsnjRwlTuf2YqKpv2G8GGupmpe/CK1NfX+c3kOtJSfpPfUuYAAIC15c8+tERCOgBsYCoqe6fjFn3LPUaL0BLuwG4pv8lvKXMAAMC64s8+tCRCOgCwQWppd2C3lN/kt4Q5WsJfcAAAAKxLQjoAsEFyB3bL1NL+ggMAAGBdENIBgA1aS7gDm//HX3AAAACtkZAOAMA65y84AACA1qRtuQcAAAAAAICWTEgHAAAAAIACQjoAAAAAABQQ0gEAAAAAoICQDgAAAAAABYR0AAAAAAAoIKQDAAAAAEABIR0AAAAAAAoI6QAAAAAAUKCsIf26667LwQcfnCFDhqSqqiqnnHJKZsyY0WjNiBEj0r9//0a/zj333EZrZs2alRNPPDE77rhjqqqq8u1vfztLly5ttOaxxx7LgQcemIEDB+aTn/xk7r333lXmGT9+fPbcc88MGjQohx56aJ555plG1xcvXpwLLrggQ4cOzZAhQ/LlL385tbW16+i7AQAAAABAS1TWkP7444/nqKOOyt13351x48Zl6dKlGTlyZBYsWNBo3WGHHZZHHnmk9Ouss84qXVu2bFlOOumkNDQ05M4778yll16aCRMmZOzYsaU1M2fOzEknnZShQ4fmZz/7WY499ticc845mTRpUmnNxIkTM2bMmJx66qmZMGFCBgwYkJEjR6aurq60ZvTo0fn973+fq666KrfddlveeOONnHbaac34HQIAAAAAoNzKGtJvvPHGHHTQQdluu+0yYMCAXHrppZk1a1aeffbZRus6deqUnj17ln516dKldO2RRx7JSy+9lO985zvZfvvtM3z48JxxxhkZP358lixZkiS5884706tXr4waNSp9+vTJ0UcfnX322Sc333xzaZ9x48blsMMOy8EHH5y+ffvmggsuSKdOnXLPPfckSebOnZt77rkno0aNSlVVVQYOHJjRo0dn2rRpefrpp5v9ewUAAAAAQHm0qDPS586dmyTp1q1bo9cfeOCBDB06NPvvv3+uuOKKLFy4sHTt6aefTr9+/dKjR4/Sa9XV1Zk3b15eeuml0pqqqqpGe1ZXV5cC+JIlS/Lss89m2LBhpett27bNsGHDMm3atCTJ9OnT09DQ0GhNnz59stVWWwnpAAAAAACtWPtyD7DS8uXLM3r06Oy0007p169f6fX9998/W221VTbbbLO88MILufzyy/O3v/0t11xzTZKktra2UURPUvp49uzZhWvmzZuXRYsW5a233sqyZctSWVnZaE1lZWXpzPba2tpUVFRkk002WWXNyvcBAAAAgA1ZTc3M1NfXvffCAt27V6ZXr97raCJoGVpMSL/gggvy4osv5vbbb2/0+uGHH1765/79+6dnz5457rjj8uqrr+aDH/zg+h4TAIANhD8EAgCsmZqamakatksWL1r43osLdOzUOVOnPOn3UbQqLSKkX3jhhXn44Yfz4x//OFtssUXh2h133DFJ8sorr+SDH/xgevTokWeeeabRmtra2iRJz549k7x99/nK1/59TZcuXdKpU6e0bds27dq1a/Rg0SSpq6sr3cneo0ePNDQ0ZM6cOY3uSq+rqyu9DwAALYM/BAIArLn6+rosXrQwlfufmYrKpv3+p6FuZuoevCL19XV+D0WrUtaQvmLFilx00UX59a9/ndtuuy29e7/3/7iee+65JP8vkg8ePDg//OEPU1dXVzqaZcqUKenSpUv69u1bWvPHP/6x0T5TpkzJ4MGDkyQdOnTIRz/60UydOjV77713krePmpk6dWqOPvroJMnAgQNTUVGRqVOnZp999kmSzJgxI7NmzSrtAwBAy+APgQAATVdR2Tsdt+hb7jGgRSlrSL/gggvy4IMP5vvf/37e//73l84a79q1azp16pRXX301DzzwQIYPH54PfOADeeGFFzJmzJjsuuuuGTBgQJK3Hxrat2/fnHXWWfn617+e2bNn56qrrspRRx2VDh06JEmOOOKIjB8/PpdddlkOPvjgPProo3nooYdy3XXXlWY5/vjj841vfCMDBw7MDjvskFtuuSULFy7MQQcdVJrp4IMPzqWXXppu3bqlS5cuufjiizNkyBAhHQCghfKHQAAAYF0oa0i/4447kiQjRoxo9PqYMWNy0EEHle4Av/XWW7NgwYJsueWW+dSnPpVTTjmltLZdu3b54Q9/mPPPPz+HH354OnfunAMPPDCnn356aU3v3r1z3XXXZcyYMbn11luzxRZb5OKLL87uu+9eWrPvvvumvr4+Y8eOzezZs7P99tvnhhtuaPSQ0rPPPjtt27bN6aefniVLlqS6ujrnnXdec317AAAAAABoAcoa0l944YXC61tuuWV+/OMfv+c+W2+9da6//vrCNUOHDs19991XuOboo48uHeXyTjp27JjzzjtPPAcAAAAA2Ii0LfcAAAAAAADQkgnpAAAAAABQQEgHAAAAAIACZT0jHQA2FDU1M1NfX7dWe3TvXplevXqvo4kAAACA9UVIB4D3UFMzM1XDdsniRQvXap+OnTpn6pQnxXQAAADYwAjpAPAe6uvrsnjRwlTuf2YqKpsWwRvqZqbuwStSX18npAMAAMAGRkgHgNVUUdk7HbfoW+4xAAAAgPXMw0YBAAAAAKCAkA4AAAAAAAWEdAAAAAAAKCCkAwAAAABAASEdAAAAAAAKCOkAAAAAAFBASAcAAAAAgAJCOgAAAAAAFBDSAQAAAACggJAOAAAAAAAFhHQAAAAAACggpAMAAAAAQAEhHQAAAAAACgjpAAAAAABQQEgHAAAAAIACQjoAAAAAABQQ0gEAAAAAoICQDgAAAAAABYR0AAAAAAAoIKQDAAAAAEABIR0AAAAAAAoI6QAAAAAAUKB9uQcAAAAAAJKampmpr69r8ud3716ZXr16r8OJgJWEdAAAAAAos5qamakatksWL1rY5D06duqcqVOeFNOhGQjpAAAAAFBm9fV1WbxoYSr3PzMVlWsewhvqZqbuwStSX18npEMzENIBAAAAoIWoqOydjlv0LfcYwH/wsFEAAAAAACggpAMAAAAAQAEhHQAAAAAACgjpAAAAAABQQEgHAAAAAIACQjoAAAAAABQQ0gEAAAAAoICQDgAAAAAABYR0AAAAAAAoIKQDAAAAAECB9uUeAACK1NTMTH193Vrt0b17ZXr16r2OJgIAAAA2NkI6AC1WTc3MVA3bJYsXLVyrfTp26pypU54U0wEAAIAmEdIBaLHq6+uyeNHCVO5/ZioqmxbBG+pmpu7BK1JfXyekAwAAAE0ipAPQ4lVU9k7HLfqWewwAAABgI+VhowAAAAAAUEBIBwAAAACAAkI6AAAAAAAUENIBAAAAAKCAkA4AAAAAAAWEdAAAAAAAKCCkAwAAAABAASEdAAAAAAAKCOkAAAAAAFBASAcAAAAAgAJCOgAAAAAAFBDSAQAAAACggJAOAAAAAAAF2pd7AAAAaM1qamamvr5urfbo3r0yvXr1XkcTAQAAa0pIBwCAZlJTMzNVw3bJ4kUL12qfjp06Z+qUJ8V0AAAoEyEdAACaSX19XRYvWpjK/c9MRWXTInhD3czUPXhF6uvrhHQAACgTIR0AAJpZRWXvdNyib7nHAAAAmsjDRgEAAAAAoICQDgAAAAAABYR0AAAAAAAoIKQDAAAAAEABIR0AAAAAAAoI6QAAAAAAUEBIBwAAAACAAkI6AAAAAAAUENIBAAAAAKCAkA4AAAAAAAWEdAAAAAAAKCCkAwAAAABAASEdAAAAAAAKtC/3AAAAAABQTjU1M1NfX7dWe3TvXplevXqvo4mAlkZIBwAAAGCjVVMzM1XDdsniRQvXap+OnTpn6pQnxXRopYR0AAAAADZa9fV1WbxoYSr3PzMVlU2L4A11M1P34BWpr68T0qGVEtIBAAAA2OhVVPZOxy36lnsMoIXysFEAAAAAACggpAMAAAAAQAEhHQAAAAAACgjpAAAAAABQQEgHAAAAAIACQjoAAAAAABQQ0gEAAAAAoICQDgAAAAAABYR0AAAAAAAoIKQDAAAAAECB9uUeAICWqaZmZurr69Zqj+7dK9OrV+91NBEAAABAeQjpAKyipmZmqobtksWLFq7VPh07dc7UKU+K6QAAAMAGTUgHYBX19XVZvGhhKvc/MxWVTYvgDXUzU/fgFamvrxPSAQAAgA2akA7Au6qo7J2OW/Qt9xgAAAAAZeVhowAAAAAAUEBIBwAAAACAAmUN6dddd10OPvjgDBkyJFVVVTnllFMyY8aMRmsWL16cCy64IEOHDs2QIUPy5S9/ObW1tY3WzJo1KyeeeGJ23HHHVFVV5dvf/naWLl3aaM1jjz2WAw88MAMHDswnP/nJ3HvvvavMM378+Oy5554ZNGhQDj300DzzzDNrPAsAAAAAAK1LWUP6448/nqOOOip33313xo0bl6VLl2bkyJFZsGBBac3o0aPz+9//PldddVVuu+22vPHGGznttNNK15ctW5aTTjopDQ0NufPOO3PppZdmwoQJGTt2bGnNzJkzc9JJJ2Xo0KH52c9+lmOPPTbnnHNOJk2aVFozceLEjBkzJqeeemomTJiQAQMGZOTIkamrq1vtWQAAAAAAaH3KGtJvvPHGHHTQQdluu+0yYMCAXHrppZk1a1aeffbZJMncuXNzzz33ZNSoUamqqsrAgQMzevToTJs2LU8//XSS5JFHHslLL72U73znO9l+++0zfPjwnHHGGRk/fnyWLFmSJLnzzjvTq1evjBo1Kn369MnRRx+dffbZJzfffHNplnHjxuWwww7LwQcfnL59++aCCy5Ip06dcs8996z2LAAAAAAAtD4t6oz0uXPnJkm6deuWJJk+fXoaGhoybNiw0po+ffpkq622KsXrp59+Ov369UuPHj1Ka6qrqzNv3ry89NJLpTVVVVWN3qu6urq0x5IlS/Lss882ep+2bdtm2LBhmTZt2mrPAgAAAABA69NiQvry5cszevTo7LTTTunXr1+SpLa2NhUVFdlkk00ara2srMzs2bNLa/49oicpffxea+bNm5dFixblzTffzLJly1JZWbnK+6w8A311ZgEAAAAAoPVpX+4BVrrgggvy4osv5vbbby/3KAAAAAAAUNIi7ki/8MIL8/DDD+eWW27JFltsUXq9R48eaWhoyJw5cxqtr6urS8+ePUtrVt41vtLKj99rTZcuXdKpU6dsuummadeuXaMHi658n5V3sq/OLAAAAAAAtD5lDekrVqzIhRdemF//+te55ZZb0rt370bXBw4cmIqKikydOrX02owZMzJr1qwMHjw4STJ48OD89a9/bRTBp0yZki5duqRv376lNY8++mijvadMmVLao0OHDvnoRz/a6H2WL1+eqVOnZsiQIas9CwAAAAAArU9Zj3a54IIL8uCDD+b73/9+3v/+95fOGu/atWs6deqUrl275uCDD86ll16abt26pUuXLrn44oszZMiQUryurq5O3759c9ZZZ+XrX/96Zs+enauuuipHHXVUOnTokCQ54ogjMn78+Fx22WU5+OCD8+ijj+ahhx7KddddV5rl+OOPzze+8Y0MHDgwO+ywQ2655ZYsXLgwBx10UGmm95oFAAAAAIDWp6wh/Y477kiSjBgxotHrY8aMKQXss88+O23bts3pp5+eJUuWpLq6Ouedd15pbbt27fLDH/4w559/fg4//PB07tw5Bx54YE4//fTSmt69e+e6667LmDFjcuutt2aLLbbIxRdfnN133720Zt999019fX3Gjh2b2bNnZ/vtt88NN9zQ6CGl7zULAAAAAKuvpmZm6uvr3nthge7dK9OrV+/3XgiwFsoa0l944YX3XNOxY8ecd955hcF66623zvXXX1+4z9ChQ3PfffcVrjn66KNz9NFHr9UsAAAAALy3mpqZqRq2SxYvWrhW+3Ts1DlTpzwppgPNqqwhHQAAAICNU319XRYvWpjK/c9MRWXTInhD3czUPXhF6uvrhHSgWQnpAAAAAJRNRWXvdNyib7nHACjUttwDAAAAAABASyakAwAAAABAASEdAAAAAAAKOCMdAAAAYCNTUzMz9fV1a7VH9+6VHvAJbDSEdAAAAICNSE3NzFQN2yWLFy1cq306duqcqVOeFNOBjYKQDgAAvCd3LgK0HvX1dVm8aGEq9z8zFZVN+//LDXUzU/fgFamvr/P/24GNgpAOAAAUcuciQOtUUdk7HbfoW+4xADYIQjoAAFDInYsAAGzshHQAAGC1uHMRAICNVdtyDwAAAAAAAC2ZO9IBWhgPcwMAAABoWYR0gBbEw9wAAAAAWh4hHaAF8TA3AAAAgJZHSAdogTzMDQAAAKDl8LBRAAAAAAAoIKQDAAAAAEABIR0AAAAAAAoI6QAAAAAAUEBIBwAAAACAAkI6AAAAAAAUENIBAAAAAKBA+3IPAAAAALCxqKmZmfr6urXao3v3yvTq1XsdTQTA6hDSAQAAANaDmpqZqRq2SxYvWrhW+3Ts1DlTpzwppgOsR0I6wP/PnSEAAEBzqq+vy+JFC1O5/5mpqGzanxsa6mam7sErUl9f588eAOuRkA4Qd4YAAADrT0Vl73Tcom+5xwBgDQjpAHFnCAAAAADvTkgH+DfuDAEAAADgPwnpQNk5mxwAAACAlkxIB8rK2eQAwIaopdwI0FLmAABo7YR0oKycTQ4AbGhayo0ALWUOAICNgZAOtAjOJgcANhQt5UaAljIHAMDGQEgHAABogpZyI0BLmQMAoDVrW+4BAAAAAACgJXNHOgAAANDqeTgvAGtDSAcAAABaNQ/nBWBtCekAAABAq+bhvACsLSEdAAAA2Ch4OC8ATeVhowAAAAAAUEBIBwAAAACAAo52AQAAYK3U1MxMfX3dWu3RvXulc6cBgBZLSAcAAKDJampmpmrYLlm8aOFa7dOxU+dMnfKkmA4AtEhCOgAAAE1WX1+XxYsWpnL/M1NR2bQI3lA3M3UPXpH6+johHQBokYR02Ij5T3ABAFhXKip7p+MWfcs9BgBAsxDSYSPlP8EFAAAAgNUjpMNGyn+CCwAAAACrR0iHjZz/BBcAAGhOjpQEoDUQ0gEAAIBm4UhJAFoLIR0AANhguLMVNiyOlASgtRDSAQCADYI7W2HD5UhJADZ0QjoAALBBcGcrAADlIqQDAAAbFHe28m4c/QMANBchHQAAgA2eo38AgOYkpAMAALDBc/QPANCchHQAAABaDUf/AADNoW25BwAAAAAAgJbMHelQJh6EBAAAAAAbBiEdysCDkAAAAABgwyGkQxl4EBIAAAAAbDiEdCgjD0ICAAAAgJbPw0YBAAAAAKCAkA4AAAAAAAWEdAAAAAAAKCCkAwAAAABAASEdAAAAAAAKtC/3AAAAAMC6V1MzM/X1dWu1R/fulenVq/c6mggANlxCOgAAALQyNTUzUzVslyxetHCt9unYqXOmTnlSTAdgoyekAwAAQCtTX1+XxYsWpnL/M1NR2bQI3lA3M3UPXpH6+johHYCNnpAOAAAArVRFZe903KJvuccAgA2eh40CAAAAAEABIR0AAAAAAAoI6QAAAAAAUEBIBwAAAACAAkI6AAAAAAAUENIBAAAAAKBA+3IPAOtbTc3M1NfXrdUe3btXplev3utoIgAAAACgJRPS2ajU1MxM1bBdsnjRwrXap2Onzpk65UkxHQAAAAA2AkI6G5X6+rosXrQwlfufmYrKpkXwhrqZqXvwitTX1wnpAAAAALARENLZKFVU9k7HLfqWewwAAAAAYAPgYaMAAAAAAFBASAcAAAAAgAJCOgAAAAAAFBDSAQAAAACggJAOAAAAAAAFhHQAAAAAACggpAMAAAAAQAEhHQAAAAAACgjpAAAAAABQQEgHAAAAAIACQjoAAAAAABQQ0gEAAAAAoICQDgAAAAAABYR0AAAAAAAoIKQDAAAAAEABIR0AAAAAAAqUNaQ/8cQTOfnkk1NdXZ3+/fvnN7/5TaPro0aNSv/+/Rv9GjlyZKM1//rXv3LmmWdmp512yi677JKzzz478+fPb7Tm+eefz5FHHplBgwZl+PDhuf7661eZ5aGHHsqnP/3pDBo0KAcccED+8Ic/NLq+YsWKfO9730t1dXV22GGHHHfccfn73/++br4RAAAAAAC0WGUN6QsWLEj//v1z3nnnveua3XffPY888kjp15VXXtno+te+9rW89NJLGTduXH74wx/mySefzLnnnlu6Pm/evIwcOTJbbbVV7r333px11lm55pprctddd5XW/OlPf8qZZ56ZQw45JPfdd1/22muvnHrqqfnrX/9aWnP99dfntttuy/nnn5+77747nTt3zsiRI7N48eJ1+B0BAAAAAKClKWtIHz58eL761a/mk5/85Luu6dChQ3r27Fn61a1bt9K1l19+OZMmTcrFF1+cHXfcMbvsskvOOeec/PznP8/rr7+eJLn//vvT0NCQ0aNHZ7vttst+++2XESNGZNy4caV9br311uy+++754he/mD59+uQrX/lKPvKRj+THP/5xkrfvRr/11lvzpS99KXvvvXcGDBiQyy67LG+88cYqd9EDAAAAANC6tPgz0h9//PFUVVVln332yXnnnZc333yzdG3atGnZZJNNMmjQoNJrw4YNS9u2bfPMM88kSZ5++unssssu6dChQ2lNdXV1/va3v+Wtt94qramqqmr0vtXV1Xn66aeTJDU1NZk9e3aGDRtWut61a9fsuOOOmTZt2jr/mgEAAAAAaDnal3uAIrvvvns++clPplevXpk5c2auvPLKnHDCCbnrrrvSrl271NbWpnv37o0+p3379unWrVtmz56dJKmtrU2vXr0arenRo0fpWrdu3VJbW1t6baXKysrU1tYmSWmvysrKd10DAAAAAEDr1KJD+n777Vf655UPG917771Ld6kDAAAAAEBza/FHu/y73r17Z9NNN80rr7yS5O07y+vr6xutWbp0ad5666307NmztOY/7xpf+fHKu9DfaU1dXV3p+sq96urq3nUNAAAAAACt0wYV0v/5z3/mX//6VylsDxkyJHPmzMn06dNLax599NEsX748O+ywQ5Jk8ODBefLJJ9PQ0FBaM2XKlGy77balB5cOHjw4jz76aKP3mjJlSgYPHpwk6dWrV3r27JmpU6eWrs+bNy9//vOfM2TIkGb5WgEAAAAAaBnKGtLnz5+f5557Ls8991yStx/q+dxzz2XWrFmZP39+vv3tb+fpp59OTU1Npk6dmlNOOSXbbLNNdt999yRJnz59svvuu+d///d/88wzz+Spp57KRRddlP322y+bb755kuSAAw5IRUVFvvWtb+XFF1/MxIkTc+utt+b4448vzXHMMcdk0qRJuemmm/Lyyy/n6quvzvTp03P00UcnSdq0aZNjjjkmP/jBD/Lb3/42L7zwQs4666xsttlm2Xvvvdfzdw0AAAAAgPWprGekT58+Pcccc0zp4zFjxiRJDjzwwJx//vn561//mvvuuy9z587NZpttlt122y1nnHFGOnToUPqcyy+/PBdddFGOPfbYtG3bNp/61KdyzjnnlK537do1N954Yy688MIcdNBB2XTTTXPKKafk8MMPL63Zaaedcvnll+eqq67KlVdemQ996EO59tpr069fv9KaE044IQsXLsy5556bOXPmZOedd84NN9yQjh07Nue3CAAAAACAMmtSSN9rr73y05/+NJtuummj1+fMmZMDDzwwv/3tb1drn6FDh+aFF1541+s33njje+7xgQ98IFdccUXhmgEDBuT2228vXPOZz3wmn/nMZ971eps2bXLGGWfkjDPOeM+ZAAAAAABoPZp0tMtrr72W5cuXr/L6kiVL8vrrr6/1UAAAAAAA0FKs0R3p/36n+aRJk9K1a9fSx8uXL8/UqVOz9dZbr7vpAAAAAACgzNYopJ966qlJ3j7mZNSoUY03at8+W2+99SqvAwAAAADAhmyNQvrzzz+fJNlzzz3z05/+NN27d2+WoQAAAAAAoKVo0sNGf/e7363rOQAAAAAAoEVqUkhPkqlTp2bq1Kmpq6tb5cGjY8aMWevBAAAAAACgJWhSSL/mmmty7bXXZuDAgenZs2fatGmzrucCAAAAAIAWoUkh/c4778yYMWPy+c9/fh2PAwAAAAAALUvbpnxSQ0NDdtppp3U9CwAAAAAAtDhNCumHHHJIHnjggXU9CwAAAAAAtDhNOtpl8eLFufvuuzN16tT0798/7ds33uab3/zmOhkOAAAAAADKrUkh/YUXXsiAAQOSJH/9618bXfPgUQAAAAAAWpMmhfTbbrttXc8BAAAAAAAtUpPOSAcAAAAAgI1Fk+5IHzFiROERLrfeemuTBwIAAAAAgJakSSF9++23b/Tx0qVL89xzz+XFF1/M5z//+XUxFwAAAAAAtAhNCulnn332O75+9dVXZ8GCBWs1EAAAAAAAtCTr9Iz0z372s7nnnnvW5ZYAAAAAAFBW6zSkT5s2LR06dFiXWwIAAAAAQFk16WiX0047rdHHK1asyOzZszN9+vSccsop62QwAAAAAABoCZoU0rt27dro4zZt2mTbbbfN6aefnurq6nUyGAAAAAAAtARNCuljxoxZ13MAAAAAAECL1KSQvtL06dPz8ssvJ0m22267fOQjH1knQwEAAAAAQEvRpJBeV1eXr371q3n88cezySabJEnmzJmToUOH5rvf/W66d+++TocEAAAAAIByaduUT7rooosyf/78/PznP8/jjz+exx9/PA8++GDmzZuXiy++eF3PCAAAAAAAZdOkkD5p0qScd9556dOnT+m1vn375rzzzssf//jHdTYcAAAAAACUW5NC+vLly1NRUbHK6+3bt8/y5cvXeigAAAAAAGgpmnRG+sc//vFccsklueKKK7L55psnSV5//fWMGTMmVVVV63RAAAAA2JDU1MxMfX3dWu3RvXtlevXqvY4mAgDWVpNC+rnnnpsvfelL2WuvvbLFFlskSf75z39mu+22y3e+8511OiAAAABsKGpqZqZq2C5ZvGjhWu3TsVPnTJ3ypJgOAC1Ek0L6lltumQkTJmTKlCmZMWNGkqRPnz4ZNmzYOh0OAAAANiT19XVZvGhhKvc/MxWVTYvgDXUzU/fgFamvrxPSAaCFWKOQPnXq1Fx00UW5++6706VLl+y2227ZbbfdkiRz587NfvvtlwsuuCC77LJLswwLAAAAG4KKyt7puEXfco8BAKwja/Sw0VtuuSWHHXZYunTpssq1rl275vDDD8+4cePW2XAAAAAAAFBuaxTSX3jhhey+++7ven233XbLs88+u9ZDAQAAAABAS7FGIb22tjbt27/7aTDt27dPfX39Wg8FAAAAAAAtxRqF9M033zwvvvjiu15/4YUX0rNnz7UeCgAAAAAAWoo1CunDhw/P9773vSxevHiVa4sWLcrVV1+dPfbYY50NBwAAAAAA5fbu57S8gy996Uv51a9+lX322SdHHXVUtt122yTJjBkzcvvtt2fZsmU5+eSTm2VQAAAAAAAohzUK6T169Midd96Z888/P1deeWVWrFiRJGnTpk2qq6tz7rnnpkePHs0yKAAAAAAAlMMahfQk2XrrrXP99dfnrbfeyiuvvJIk2WabbdKtW7d1PhwAAAAAAJTbGof0lbp165YddthhXc4CAAAAAAAtzho9bBQAAAAAADY2QjoAAAAAABQQ0gEAAAAAoICQDgAAAAAABYR0AAAAAAAoIKQDAAAAAEABIR0AAAAAAAoI6QAAAAAAUEBIBwAAAACAAkI6AAAAAAAUENIBAAAAAKCAkA4AAAAAAAWEdAAAAAAAKCCkAwAAAABAASEdAAAAAAAKCOkAAAAAAFBASAcAAAAAgAJCOgAAAAAAFBDSAQAAAACggJAOAAAAAAAFhHQAAAAAACggpAMAAAAAQAEhHQAAAAAACgjpAAAAAABQQEgHAAAAAIACQjoAAAAAABQQ0gEAAAAAoICQDgAAAAAABYR0AAAAAAAoIKQDAAAAAEABIR0AAAAAAAoI6QAAAAAAUEBIBwAAAACAAkI6AAAAAAAUENIBAAAAAKCAkA4AAAAAAAWEdAAAAAAAKCCkAwAAAABAASEdAAAAAAAKCOkAAAAAAFBASAcAAAAAgAJCOgAAAAAAFBDSAQAAAACggJAOAAAAAAAFhHQAAAAAACggpAMAAAAAQAEhHQAAAAAACgjpAAAAAABQQEgHAAAAAIACQjoAAAAAABQQ0gEAAAAAoICQDgAAAAAABYR0AAAAAAAoIKQDAAAAAEABIR0AAAAAAAoI6QAAAAAAUKCsIf2JJ57IySefnOrq6vTv3z+/+c1vGl1fsWJFvve976W6ujo77LBDjjvuuPz9739vtOZf//pXzjzzzOy0007ZZZddcvbZZ2f+/PmN1jz//PM58sgjM2jQoAwfPjzXX3/9KrM89NBD+fSnP51BgwblgAMOyB/+8Ic1ngUAAAAAgNanrCF9wYIF6d+/f84777x3vH799dfntttuy/nnn5+77747nTt3zsiRI7N48eLSmq997Wt56aWXMm7cuPzwhz/Mk08+mXPPPbd0fd68eRk5cmS22mqr3HvvvTnrrLNyzTXX5K677iqt+dOf/pQzzzwzhxxySO67777stdd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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Total number of hours: 37\n", "Average clips per hour: 200649.46\n", "Max clips in an hour: 264154\n", "Min clips in an hour: 46540\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", "# check the number of audio uploads\n", "upload_clip_df = total_clip_df[total_clip_df[\"clip_type\"] == \"upload\"].copy()\n", "stem_clip_df = total_clip_df[total_clip_df[\"clip_type\"] == \"stem\"].copy()\n", "print(\"total without model:\", (total_clip_df[\"model_name\"] == \"\").sum())\n", "print(\"uploads:\", upload_clip_df.shape[0])\n", "print(\"stems:\", stem_clip_df.shape[0])\n", "\n", "# Call the function\n", "plot_clip_distribution(total_clip_df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Proceed with feature engineering and cleaning up" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:51:20.952295Z", "iopub.status.busy": "2024-10-09T17:51:20.952136Z", "iopub.status.idle": "2024-10-09T17:51:21.252580Z", "shell.execute_reply": "2024-10-09T17:51:21.251994Z", "shell.execute_reply.started": "2024-10-09T17:51:20.952280Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "number of upvoates: 801,819 rows\n", "number of flagged reports: 12,310 rows\n" ] } ], "source": [ "upvoted_df = reaction_df[reaction_df[\"reaction_type\"] == \"L\"].copy()\n", "print(f\"number of upvoates: {upvoted_df.shape[0]:,} rows\")\n", "upvoted_ids = upvoted_df[\"clip_id\"]\n", "\n", "flagged_df = reaction_df[reaction_df[\"flagged\"]].copy()\n", "print(f\"number of flagged reports: {flagged_df.shape[0]:,} rows\")\n", "flagged_ids = flagged_df[\"clip_id\"]" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:51:21.253459Z", "iopub.status.busy": "2024-10-09T17:51:21.253301Z", "iopub.status.idle": "2024-10-09T17:51:21.717038Z", "shell.execute_reply": "2024-10-09T17:51:21.716458Z", "shell.execute_reply.started": "2024-10-09T17:51:21.253443Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reactions fraction by pro user:\n", "False: 4878823 (63.80%)\n", "True: 2768619 (36.20%)\n", "Reactions fraction by pro user:\n", "False: 4118504 (55.48%)\n", "True: 3305526 (44.52%)\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", "# clip check\n", "print(\"Reactions fraction by pro user:\")\n", "print_out_value_counts_nicely(clip_df, \"is_pro_user\")" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:51:21.717906Z", "iopub.status.busy": "2024-10-09T17:51:21.717748Z", "iopub.status.idle": "2024-10-09T17:51:21.917704Z", "shell.execute_reply": "2024-10-09T17:51:21.917148Z", "shell.execute_reply.started": "2024-10-09T17:51:21.717891Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "stem parent ids: 117788\n" ] } ], "source": [ "# find out the stem parent ids\n", "stem_parent_ids = set(stem_clip_df[\"metadata\"].apply(lambda x: x.get(\"stem_from_id\", \"xxx\")))\n", "print(\"stem parent ids:\", len(stem_parent_ids))" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:12.019778Z", "start_time": "2024-05-26T00:22:57.637371Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:51:21.918565Z", "iopub.status.busy": "2024-10-09T17:51:21.918409Z", "iopub.status.idle": "2024-10-09T17:51:33.862372Z", "shell.execute_reply": "2024-10-09T17:51:33.861794Z", "shell.execute_reply.started": "2024-10-09T17:51:21.918550Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Clips in a splaylist:\n", "False: 7372609 (99.31%)\n", "True: 51421 (0.69%)\n", "Clips has stem children:\n", "False: 7308588 (98.45%)\n", "True: 115442 (1.55%)\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(\"Clips has stem children:\")\n", "print_out_value_counts_nicely(clip_df, \"has_stems\")" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:17.912428Z", "start_time": "2024-05-26T00:23:12.021726Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:51:33.863246Z", "iopub.status.busy": "2024-10-09T17:51:33.863089Z", "iopub.status.idle": "2024-10-09T17:51:35.979454Z", "shell.execute_reply": "2024-10-09T17:51:35.978861Z", "shell.execute_reply.started": "2024-10-09T17:51:33.863231Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "clips that have children: 676701 \n", "clips that are parents: 126671 \n", " Average continues from clip = 5.34\n", "web: 7283949 (98.85%)\n", "ios: 85029 (1.15%)\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(len(has_continued_children_ids) / len(has_continued_children_ids.unique()), 2),\n", ")\n", "# Get value counts\n", "print_out_value_counts_nicely(clip_df, \"source\")" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:22.092835Z", "start_time": "2024-05-26T00:23:17.914456Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:51:35.980338Z", "iopub.status.busy": "2024-10-09T17:51:35.980181Z", "iopub.status.idle": "2024-10-09T17:51:41.891096Z", "shell.execute_reply": "2024-10-09T17:51:41.890491Z", "shell.execute_reply.started": "2024-10-09T17:51:35.980323Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total uploads: 297354\n", "clips without request id: 349584\n", "clips without request id: 349584 clip_type\n", "stem 236033\n", "upload 61118\n", "concat 45838\n", "edit_crop 6574\n", "concat_infilling 21\n", "Name: count, dtype: int64\n", "Clips without request id (concat, uploads...) frac = 0.00617\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[clip_df[\"clip_type\"] == \"concat\"].copy()\n", "non_request_clips = clip_df[clip_df[\"request_id\"].isna()].copy()\n", "print(\"clips without request id:\", non_request_clips.shape[0], non_request_clips[\"clip_type\"].value_counts())\n", "# need to kick them out...\n", "clip_df = clip_df[~clip_df[\"request_id\"].isna()]\n", "print(\n", " f\"Clips without request id (concat, uploads...) frac = {concated_clips.shape[0] / total_clip_counts:.5f}\"\n", ")" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:22.833148Z", "start_time": "2024-05-26T00:23:22.094796Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:51:41.892001Z", "iopub.status.busy": "2024-10-09T17:51:41.891840Z", "iopub.status.idle": "2024-10-09T17:51:42.663481Z", "shell.execute_reply": "2024-10-09T17:51:42.662875Z", "shell.execute_reply.started": "2024-10-09T17:51:41.891986Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "chirp-v3p5-engine-s-8: 5297023 (74.88%)\n", "chirp-v3p5-engine-t-3: 337359 (4.77%)\n", "chirp-v3p5-engine-s-29: 290442 (4.11%)\n", "chirp-v3p5-engine-upload-4: 290076 (4.10%)\n", "chirp-v3p5-engine-b: 227379 (3.21%)\n", "chirp-v3p5-engine-t-4-25-b20: 188471 (2.66%)\n", "chirp-v3-engine-i: 147681 (2.09%)\n", "chirp-v3p5-engine-t-4-23-b40: 147269 (2.08%)\n", "chirp-v3p5-engine-t-4-25-b40: 61927 (0.88%)\n", "chirp-v2-xxl-alpha: 23268 (0.33%)\n", "chirp-v3p5-engine-t-4-23-b80: 17383 (0.25%)\n", "chirp-v3p5-engine-t-5: 15816 (0.22%)\n", "chirp-v3-5: 12806 (0.18%)\n", "chirp-v2-engine-msft-60s: 9193 (0.13%)\n", "chirp-v3p5-engine-ft-1: 7401 (0.10%)\n", "chirp-v3-0: 577 (0.01%)\n", "chirp-v3p5-engine-short: 272 (0.00%)\n", "chirp-v3-5-tau: 50 (0.00%)\n", "chirp-v3-5-upload: 47 (0.00%)\n", "chirp-v3-5-short: 4 (0.00%)\n", "chirp-v3-5|chirp-v3-0: 2 (0.00%)\n" ] } ], "source": [ "# check the model conts\n", "print_out_value_counts_nicely(clip_df, \"model_name\")" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:26.317699Z", "start_time": "2024-05-26T00:23:22.835074Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:51:42.664386Z", "iopub.status.busy": "2024-10-09T17:51:42.664225Z", "iopub.status.idle": "2024-10-09T17:51:47.638418Z", "shell.execute_reply": "2024-10-09T17:51:47.637835Z", "shell.execute_reply.started": "2024-10-09T17:51:42.664371Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "pre-filter model type clip_df shape: (7074446, 35)\n", "post-filter model type clip_df shape: (7061063, 35)\n", "chirp-v3p5-engine-s-8: 5297023 (75.02%)\n", "chirp-v3p5-engine-t-3: 337359 (4.78%)\n", "chirp-v3p5-engine-s-29: 290442 (4.11%)\n", "chirp-v3p5-engine-upload-4: 290076 (4.11%)\n", "chirp-v3p5-engine-b: 227379 (3.22%)\n", "chirp-v3p5-engine-t-4-25-b20: 188471 (2.67%)\n", "chirp-v3-engine-i: 147681 (2.09%)\n", "chirp-v3p5-engine-t-4-23-b40: 147269 (2.09%)\n", "chirp-v3p5-engine-t-4-25-b40: 61927 (0.88%)\n", "chirp-v2-xxl-alpha: 23268 (0.33%)\n", "chirp-v3p5-engine-t-4-23-b80: 17383 (0.25%)\n", "chirp-v3p5-engine-t-5: 15816 (0.22%)\n", "chirp-v2-engine-msft-60s: 9193 (0.13%)\n", "chirp-v3p5-engine-ft-1: 7401 (0.10%)\n", "chirp-v3p5-engine-short: 272 (0.00%)\n", "chirp-v3-5-tau: 50 (0.00%)\n", "chirp-v3-5-upload: 47 (0.00%)\n", "chirp-v3-5-short: 4 (0.00%)\n", "chirp-v3-5|chirp-v3-0: 2 (0.00%)\n" ] } ], "source": [ "print(\"pre-filter model type clip_df shape:\", clip_df.shape)\n", "clip_df = clip_df[(clip_df[\"model_name\"] != \"chirp-v3-5\") & (clip_df[\"model_name\"] != \"chirp-v3-0\")]\n", "print(\"post-filter model type clip_df shape:\", clip_df.shape)\n", "print_out_value_counts_nicely(clip_df, \"model_name\")" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:51:47.639294Z", "iopub.status.busy": "2024-10-09T17:51:47.639136Z", "iopub.status.idle": "2024-10-09T17:51:52.401573Z", "shell.execute_reply": "2024-10-09T17:51:52.401002Z", "shell.execute_reply.started": "2024-10-09T17:51:47.639279Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "concat reactions: 82475 unique concat clips: 31044\n", "total concats (45838, 38)\n", "check \n", " reaction_play_count reaction_upvote_count reaction_dislike_count\n", "count 31044.000000 31044.000000 31044.000000\n", "mean 5.385388 0.271131 0.017910\n", "std 142.707149 1.417136 0.172343\n", "min 1.000000 0.000000 0.000000\n", "25% 1.000000 0.000000 0.000000\n", "50% 1.000000 0.000000 0.000000\n", "75% 3.000000 0.000000 0.000000\n", "max 15819.000000 116.000000 15.000000\n", "All concats 45838\n", "total concats with plays 31044\n" ] } ], "source": [ "concated_clips = merge_concat_clips_with_reactions(concated_clips, reaction_df)\n", "# TODO: why so many clips are concats without plays??? -- oh probably they concat multiple times?\n", "print(\"All concats\", concated_clips.shape[0])\n", "concated_clips = concated_clips[concated_clips[\"reaction_play_count\"] > 0]\n", "print(\"total concats with plays\", concated_clips.shape[0])" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:38.974479Z", "start_time": "2024-05-26T00:23:34.385507Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:51:52.402433Z", "iopub.status.busy": "2024-10-09T17:51:52.402280Z", "iopub.status.idle": "2024-10-09T17:51:54.154215Z", "shell.execute_reply": "2024-10-09T17:51:54.153623Z", "shell.execute_reply.started": "2024-10-09T17:51:52.402418Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "731it [00:00, 7306.05it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "83e71342-9634-42b5-b3c2-d04c582748ce chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "8290it [00:00, 17884.07it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "27b89f5e-55db-4b50-abed-4be5fe32b539 chirp-v3p5-engine-s-8\n", "df77ca83-1b4d-4b94-8e77-824fe75fdfc6 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "25247it [00:01, 18780.88it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "96c77aa4-06e2-40f5-a3ba-022d29cf47bb chirp-v3p5-engine-s-8\n", "f7f08508-f488-40c2-9e63-48089a970376 chirp-v3p5-engine-s-8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "31044it [00:01, 18164.21it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "a070929a-3df5-4236-9e3b-7c80566f8194 chirp-v3p5-engine-s-8\n", "total concat unique clips are: 60214 with error: 0, duplicate 6702 \n", " uploads are in concats 181 frac 0.003\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "concat_clips_ids = get_concat_clip_ids(concated_clips, clip_df, upload_clip_df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Features" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:40.236690Z", "start_time": "2024-05-26T00:23:39.995713Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:51:54.155083Z", "iopub.status.busy": "2024-10-09T17:51:54.154927Z", "iopub.status.idle": "2024-10-09T17:51:54.572300Z", "shell.execute_reply": "2024-10-09T17:51:54.571723Z", "shell.execute_reply.started": "2024-10-09T17:51:54.155068Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "count 7.061063e+06\n", "mean 1.863699e+02\n", "std 5.892272e+02\n", "min 1.000000e+00\n", "25% 1.000000e+01\n", "50% 1.800000e+01\n", "75% 9.600000e+01\n", "max 9.193000e+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": 21, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:51:54.575815Z", "iopub.status.busy": "2024-10-09T17:51:54.575431Z", "iopub.status.idle": "2024-10-09T17:52:11.991998Z", "shell.execute_reply": "2024-10-09T17:52:11.991391Z", "shell.execute_reply.started": "2024-10-09T17:51:54.575798Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "clip 3629718 7061063\n", "user 253721 554857\n" ] } ], "source": [ "with open(\"user_id_to_exp_dict.json\", \"r\") as fp:\n", " user_id_to_exp_dict = json.load(fp)\n", "\n", "clip_df[\"in_fe_exp\"] = clip_df[\"user_id\"].apply(lambda x: user_id_to_exp_dict.get(str(x), False))\n", "print(\"clip\", clip_df[\"in_fe_exp\"].sum(), clip_df.shape[0])\n", "print(\"user\", clip_df[clip_df[\"in_fe_exp\"]][\"user_id\"].nunique(), clip_df[\"user_id\"].nunique())" ] }, { "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": "2024-10-09T17:52:11.992872Z", "iopub.status.busy": "2024-10-09T17:52:11.992716Z", "iopub.status.idle": "2024-10-09T17:52:20.397434Z", "shell.execute_reply": "2024-10-09T17:52:20.396853Z", "shell.execute_reply.started": "2024-10-09T17:52:11.992857Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has upvoted upvoted\n", "False 6750054\n", "True 311009\n", "Name: count, dtype: int64 upvoted\n", "False 0.955954\n", "True 0.044046\n", "Name: proportion, dtype: float64 upvote_count\n", "False 0.955012\n", "True 0.044988\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", ")" ] }, { "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": "2024-10-09T17:52:20.398381Z", "iopub.status.busy": "2024-10-09T17:52:20.398142Z", "iopub.status.idle": "2024-10-09T17:52:24.542424Z", "shell.execute_reply": "2024-10-09T17:52:24.541840Z", "shell.execute_reply.started": "2024-10-09T17:52:20.398365Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "downvoted fraction by category:\n", "False: 6819362 (96.58%)\n", "True: 241701 (3.42%)\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": { "execution": { "iopub.execute_input": "2024-10-09T17:52:24.543314Z", "iopub.status.busy": "2024-10-09T17:52:24.543157Z", "iopub.status.idle": "2024-10-09T17:52:30.846395Z", "shell.execute_reply": "2024-10-09T17:52:30.845813Z", "shell.execute_reply.started": "2024-10-09T17:52:24.543299Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has upvoted out exp 0.0408\n", "has downvoted out exp 0.0306\n", "has upvoted in exp 0.0471\n", "has downvoted in exp 0.0376\n" ] } ], "source": [ "# out_exp_mask = (~clip_df[\"in_fe_exp\"]) & (clip_df[\"created_at\"] < \"2024-09-25 00:00:00\")\n", "out_exp_mask = (~clip_df[\"in_fe_exp\"]) & (clip_df[\"created_at\"] >= \"2024-09-25 00:00:00\")\n", "# print(\n", "# \"has upvoted out of exp\",\n", "# # clip_df[out_exp_mask][\"upvoted\"].value_counts(),\n", "# clip_df[out_exp_mask][\"upvoted\"].value_counts(normalize=True)[True],\n", "# # (clip_df[~clip_df[\"in_fe_exp\"]][\"upvote_count\"] >= 1).value_counts(normalize=True),\n", "# )\n", "print(\n", " \"has upvoted out exp\",\n", " # clip_df[in_exp_mask][\"upvoted\"].value_counts(),\n", " round(clip_df[out_exp_mask][\"upvoted\"].value_counts(normalize=True)[True],4 ),\n", " # (clip_df[clip_df[\"in_fe_exp\"]][\"upvote_count\"] >= 1).value_counts(normalize=True),\n", ")\n", "# print(\n", "# \"has downvoted out of exp\",\n", "# # clip_df[out_exp_mask][\"downvoted\"].value_counts(),\n", "# clip_df[out_exp_mask][\"downvoted\"].value_counts(normalize=True)[True],\n", "# )\n", "print(\n", " \"has downvoted out exp\",\n", " # clip_df[in_exp_mask][\"downvoted\"].value_counts(),\n", " round(clip_df[out_exp_mask][\"downvoted\"].value_counts(normalize=True)[True] ,4),\n", ")\n", "# out_exp_mask = (clip_df[\"in_fe_exp\"]) & (clip_df[\"created_at\"] < \"2024-09-25 00:00:00\")\n", "in_exp_mask = (clip_df[\"in_fe_exp\"]) & (clip_df[\"created_at\"] >= \"2024-09-25 00:00:00\")\n", "# print(\n", "# \"has upvoted out of exp\",\n", "# # clip_df[out_exp_mask][\"upvoted\"].value_counts(),\n", "# clip_df[out_exp_mask][\"upvoted\"].value_counts(normalize=True)[True],\n", "# # (clip_df[~clip_df[\"in_fe_exp\"]][\"upvote_count\"] >= 1).value_counts(normalize=True),\n", "# )\n", "print(\n", " \"has upvoted in exp\",\n", " # clip_df[in_exp_mask][\"upvoted\"].value_counts(),\n", " round(clip_df[in_exp_mask][\"upvoted\"].value_counts(normalize=True)[True], 4),\n", " # (clip_df[clip_df[\"in_fe_exp\"]][\"upvote_count\"] >= 1).value_counts(normalize=True),\n", ")\n", "# print(\n", "# \"has downvoted out of exp\",\n", "# # clip_df[out_exp_mask][\"downvoted\"].value_counts(),\n", "# clip_df[out_exp_mask][\"downvoted\"].value_counts(normalize=True)[True],\n", "# )\n", "print(\n", " \"has downvoted in exp\",\n", " # clip_df[in_exp_mask][\"downvoted\"].value_counts(),\n", " round(clip_df[in_exp_mask][\"downvoted\"].value_counts(normalize=True)[True], 4),\n", ")" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:56.590022Z", "start_time": "2024-05-26T00:23:48.405668Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:52:30.847279Z", "iopub.status.busy": "2024-10-09T17:52:30.847114Z", "iopub.status.idle": "2024-10-09T17:52:38.933070Z", "shell.execute_reply": "2024-10-09T17:52:38.932495Z", "shell.execute_reply.started": "2024-10-09T17:52:30.847264Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has_continued fraction by category:\n", "False: 7009345 (99.27%)\n", "True: 51718 (0.73%)\n" ] } ], "source": [ "# add continued column -- uuid and str are not compatible X.x\n", "clip_df[\"has_continued\"] = clip_df[\"id\"].astype(str).isin(set(list(has_continued_children_ids)))\n", "print(\"has_continued fraction by category:\")\n", "print_out_value_counts_nicely(clip_df, \"has_continued\")" ] }, { "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": "2024-10-09T17:52:38.933940Z", "iopub.status.busy": "2024-10-09T17:52:38.933776Z", "iopub.status.idle": "2024-10-09T17:52:46.808355Z", "shell.execute_reply": "2024-10-09T17:52:46.807773Z", "shell.execute_reply.started": "2024-10-09T17:52:38.933924Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "part_of_concat fraction by category:\n", "False: 7017918 (99.39%)\n", "True: 43145 (0.61%)\n", "\n", "Model distribution for part_of_concat clips:\n", "chirp-v3p5-engine-s-8: 66.65%\n", "chirp-v3p5-engine-upload-4: 10.70%\n", "chirp-v3p5-engine-t-3: 5.52%\n", "chirp-v3p5-engine-s-29: 4.74%\n", "chirp-v3-engine-i: 4.31%\n", "chirp-v3p5-engine-t-4-25-b20: 3.43%\n", "chirp-v3p5-engine-t-4-23-b40: 2.71%\n", "chirp-v3p5-engine-t-4-25-b40: 1.09%\n", "chirp-v2-xxl-alpha: 0.31%\n", "chirp-v3p5-engine-t-4-23-b80: 0.29%\n", "chirp-v3p5-engine-ft-1: 0.09%\n", "chirp-v3p5-engine-t-5: 0.09%\n", "chirp-v3p5-engine-b: 0.07%\n", "chirp-v3-5-upload: 0.00%\n" ] } ], "source": [ "# add concat column\n", "clip_df[\"part_of_concat\"] = clip_df[\"id\"].astype(str).isin(concat_clips_ids)\n", "print(\"part_of_concat fraction by category:\")\n", "print_out_value_counts_nicely(clip_df, \"part_of_concat\")\n", "\n", "print(\"\\nModel distribution for part_of_concat clips:\")\n", "for model, fraction in (\n", " clip_df[clip_df[\"part_of_concat\"]][\"model_name\"].value_counts(normalize=True).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": "2024-10-09T17:52:46.809258Z", "iopub.status.busy": "2024-10-09T17:52:46.809094Z", "iopub.status.idle": "2024-10-09T17:52:51.628454Z", "shell.execute_reply": "2024-10-09T17:52:51.627886Z", "shell.execute_reply.started": "2024-10-09T17:52:46.809243Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has_action fraction by category:\n", "False: 7040888 (99.71%)\n", "True: 20175 (0.29%)\n" ] } ], "source": [ "# verify bots action are all non-empty\n", "action_mask = (\n", " bots_action_df[\"download_audio_count\"]\n", " + bots_action_df[\"download_video_count\"]\n", " + bots_action_df[\"download_audio_wav_count\"]\n", " # + bots_action_df[\"share_count\"] # will remove share cause it can be negative, just can be...\n", ") >= 1\n", "has_action_ids = set(i for i in bots_action_df[action_mask][\"clip_id\"].unique())\n", "clip_df[\"has_action\"] = clip_df[\"id\"].isin(has_action_ids)\n", "print(\"has_action fraction by category:\")\n", "print_out_value_counts_nicely(clip_df, \"has_action\")" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:14.579841Z", "start_time": "2024-05-26T00:24:09.955568Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:52:51.629322Z", "iopub.status.busy": "2024-10-09T17:52:51.629164Z", "iopub.status.idle": "2024-10-09T17:52:56.204331Z", "shell.execute_reply": "2024-10-09T17:52:56.203766Z", "shell.execute_reply.started": "2024-10-09T17:52:51.629307Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "flagged fraction by category:\n", "False: 7051957 (99.87%)\n", "True: 9106 (0.13%)\n" ] } ], "source": [ "# add downvoted column\n", "clip_df[\"flagged\"] = clip_df[\"id\"].isin(flagged_ids)\n", "print(\"flagged fraction by category:\")\n", "print_out_value_counts_nicely(clip_df, \"flagged\")" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:52:56.205190Z", "iopub.status.busy": "2024-10-09T17:52:56.205031Z", "iopub.status.idle": "2024-10-09T17:52:56.250111Z", "shell.execute_reply": "2024-10-09T17:52:56.249642Z", "shell.execute_reply.started": "2024-10-09T17:52:56.205175Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "deleted fraction by category:\n", "False: 6133051 (86.86%)\n", "True: 928012 (13.14%)\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": { "ExecuteTime": { "end_time": "2024-05-26T00:24:15.382315Z", "start_time": "2024-05-26T00:24:14.581073Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:52:56.250896Z", "iopub.status.busy": "2024-10-09T17:52:56.250744Z", "iopub.status.idle": "2024-10-09T17:52:57.121349Z", "shell.execute_reply": "2024-10-09T17:52:57.120869Z", "shell.execute_reply.started": "2024-10-09T17:52:56.250882Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total clips: 7,061,063\n", "Must be positive: 384,115 (5.44%)\n", "Definitely not negative: 5,899,809 (83.55%)\n", "Must be negative: 1,161,254 (16.45%)\n" ] } ], "source": [ "# This is probably the most important cell of this notebook -- what are good labels, and not having good label makes it a bad label\n", "must_be_positive_mask = (\n", " (clip_df[\"upvoted\"])\n", " | (clip_df[\"has_action\"])\n", " | (clip_df[\"part_of_concat\"])\n", " | (clip_df[\"is_in_playlist\"])\n", ")\n", "must_be_not_negative_mask = (~clip_df[\"downvoted\"]) & (~clip_df[\"deleted\"]) & (~clip_df[\"flagged\"])\n", "must_be_negative_mask = (clip_df[\"downvoted\"]) | (clip_df[\"flagged\"]) | (clip_df[\"deleted\"])\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": 31, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:31.095990Z", "start_time": "2024-05-26T00:24:15.383572Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:52:57.122110Z", "iopub.status.busy": "2024-10-09T17:52:57.121962Z", "iopub.status.idle": "2024-10-09T17:53:16.858996Z", "shell.execute_reply": "2024-10-09T17:53:16.858405Z", "shell.execute_reply.started": "2024-10-09T17:52:57.122096Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Liked requests: 304,237\n", "Not liked requests: 3,507,790\n", "Requests with preference paired generations: 240,847\n", "Percentage of total unique requests: 6.74%\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(f\"Percentage of total unique requests: {len(has_liked_requests) / total_unique_requests:.2%}\")" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:53:16.859895Z", "iopub.status.busy": "2024-10-09T17:53:16.859736Z", "iopub.status.idle": "2024-10-09T17:53:27.733553Z", "shell.execute_reply": "2024-10-09T17:53:27.732967Z", "shell.execute_reply.started": "2024-10-09T17:53:16.859880Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Disliked requests: 688,707\n", "Not disliked requests: 3,084,931\n", "Requests with preference paired generations: 202,458\n", "Percentage of total unique requests: 5.67%\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(f\"Percentage of total unique requests: {len(has_disliked_requests) / total_unique_requests:.2%}\")" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:31.099372Z", "start_time": "2024-05-26T00:24:31.097244Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:53:27.734436Z", "iopub.status.busy": "2024-10-09T17:53:27.734280Z", "iopub.status.idle": "2024-10-09T17:53:27.797615Z", "shell.execute_reply": "2024-10-09T17:53:27.797101Z", "shell.execute_reply.started": "2024-10-09T17:53:27.734421Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total selected pairs of requests: 386,018\n", "Percentage of total unique requests: 10.81%\n" ] } ], "source": [ "requests = has_liked_requests.union(has_disliked_requests)\n", "print(f\"Total selected pairs of requests: {len(requests):,}\")\n", "print(f\"Percentage of total unique requests: {len(requests) / total_unique_requests:.2%}\")" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:31.239254Z", "start_time": "2024-05-26T00:24:31.100389Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:53:27.798437Z", "iopub.status.busy": "2024-10-09T17:53:27.798281Z", "iopub.status.idle": "2024-10-09T17:53:27.876907Z", "shell.execute_reply": "2024-10-09T17:53:27.876410Z", "shell.execute_reply.started": "2024-10-09T17:53:27.798422Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Difference in preference counts:\n", "0: 5,536,417 (78.41%)\n", "-1: 1,161,254 (16.45%)\n", "1: 363,392 (5.15%)\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[\"neg_preference\"].astype(\n", " int\n", ")\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": 35, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:37.322031Z", "start_time": "2024-05-26T00:24:31.240829Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:53:27.877814Z", "iopub.status.busy": "2024-10-09T17:53:27.877668Z", "iopub.status.idle": "2024-10-09T17:53:34.472855Z", "shell.execute_reply": "2024-10-09T17:53:34.472200Z", "shell.execute_reply.started": "2024-10-09T17:53:27.877800Z" } }, "outputs": [], "source": [ "# creation of interesting_clips\n", "interesting_clips = clip_df[clip_df[\"request_id\"].isin(requests)].copy()" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:53:34.473741Z", "iopub.status.busy": "2024-10-09T17:53:34.473578Z", "iopub.status.idle": "2024-10-09T17:53:37.562751Z", "shell.execute_reply": "2024-10-09T17:53:37.562251Z", "shell.execute_reply.started": "2024-10-09T17:53:34.473726Z" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " request_id pos_preference neg_preference diff_preference\n", "0 000039bf-3774-41af-b50a-db3d5da47fd1 False True -1\n", "1 000039bf-3774-41af-b50a-db3d5da47fd1 False False 0\n", "2 00003ca7-38ad-43a9-a96e-5fc3296e2e89 False True -1\n", "3 00003ca7-38ad-43a9-a96e-5fc3296e2e89 True False 1\n", "4 00004065-fa8a-4f55-a550-2f0aa3d4e356 False True -1\n", "5 00004065-fa8a-4f55-a550-2f0aa3d4e356 True False 1" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "interesting_clips = interesting_clips.sort_values(by=[\"request_id\", \"diff_preference\"]).reset_index()\n", "interesting_clips[[\"request_id\", \"pos_preference\", \"neg_preference\", \"diff_preference\"]].head(n=6)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:53:37.563626Z", "iopub.status.busy": "2024-10-09T17:53:37.563466Z", "iopub.status.idle": "2024-10-09T17:53:37.588116Z", "shell.execute_reply": "2024-10-09T17:53:37.587625Z", "shell.execute_reply.started": "2024-10-09T17:53:37.563612Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Difference 0: 328,731 (42.58%)\n", "Difference 1: 240,847 (31.20%)\n", "Difference -1: 202,458 (26.22%)\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": 38, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:53:37.588888Z", "iopub.status.busy": "2024-10-09T17:53:37.588744Z", "iopub.status.idle": "2024-10-09T17:53:37.642128Z", "shell.execute_reply": "2024-10-09T17:53:37.641666Z", "shell.execute_reply.started": "2024-10-09T17:53:37.588874Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Value 1.0: 328,731 (85.16%)\n", "Value 2.0: 57,287 (14.84%)\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": 39, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:38.960130Z", "start_time": "2024-05-26T00:24:37.323369Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:53:37.642879Z", "iopub.status.busy": "2024-10-09T17:53:37.642737Z", "iopub.status.idle": "2024-10-09T17:53:41.145365Z", "shell.execute_reply": "2024-10-09T17:53:41.144767Z", "shell.execute_reply.started": "2024-10-09T17:53:37.642866Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of unique request_ids: 386,018\n", "Number of unique ids: 772,036\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": 40, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:43.332222Z", "start_time": "2024-05-26T00:24:43.166461Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:53:41.146273Z", "iopub.status.busy": "2024-10-09T17:53:41.146108Z", "iopub.status.idle": "2024-10-09T17:53:41.167453Z", "shell.execute_reply": "2024-10-09T17:53:41.167004Z", "shell.execute_reply.started": "2024-10-09T17:53:41.146258Z" } }, "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": 41, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:53:41.168221Z", "iopub.status.busy": "2024-10-09T17:53:41.168077Z", "iopub.status.idle": "2024-10-09T17:54:00.789217Z", "shell.execute_reply": "2024-10-09T17:54:00.788614Z", "shell.execute_reply.started": "2024-10-09T17:53:41.168207Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of interesting clips: 772,036\n", "Unique request and clip counts in interesting_clips:\n", "Request IDs: 386,018\n", "Clip IDs: 772,036\n" ] } ], "source": [ "# need the reaction play counts\n", "# Filter reaction_df for relevant clip_ids\n", "partial_reaction_df = reaction_df[reaction_df[\"clip_id\"].isin(set(interesting_clips[\"id\"]))].copy()\n", "\n", "# Calculate total play counts\n", "total_play_counts = partial_reaction_df.groupby(\"clip_id\")[\"play_count\"].sum().reset_index()\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": 42, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:43.737067Z", "start_time": "2024-05-26T00:24:43.563216Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:00.790100Z", "iopub.status.busy": "2024-10-09T17:54:00.789945Z", "iopub.status.idle": "2024-10-09T17:54:00.834319Z", "shell.execute_reply": "2024-10-09T17:54:00.833787Z", "shell.execute_reply.started": "2024-10-09T17:54:00.790085Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Preference counts and fractions by batch index:\n", "--------------------------------------------------\n", "Batch Index: 0\n", " Preference False: Count: 196,103 Fraction: 50.80%\n", " Preference True: Count: 189,915 Fraction: 49.20%\n", "\n", "Batch Index: 1\n", " Preference False: Count: 189,915 Fraction: 49.20%\n", " Preference True: Count: 196,103 Fraction: 50.80%\n", "\n" ] } ], "source": [ "preference_counts = interesting_clips.groupby(\"batch_index\")[\"preference\"].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": 43, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:44.304573Z", "start_time": "2024-05-26T00:24:43.973218Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:00.835147Z", "iopub.status.busy": "2024-10-09T17:54:00.834997Z", "iopub.status.idle": "2024-10-09T17:54:01.005797Z", "shell.execute_reply": "2024-10-09T17:54:01.005320Z", "shell.execute_reply.started": "2024-10-09T17:54:00.835132Z" }, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "chirp-v3p5-engine-s-8: 561280 (72.70%)\n", "chirp-v3p5-engine-t-3: 58957 (7.64%)\n", "chirp-v3p5-engine-upload-4: 40091 (5.19%)\n", "chirp-v3p5-engine-s-29: 36306 (4.70%)\n", "chirp-v3p5-engine-t-4-25-b20: 27353 (3.54%)\n", "chirp-v3p5-engine-t-4-23-b40: 20387 (2.64%)\n", "chirp-v3-engine-i: 11808 (1.53%)\n", "chirp-v3p5-engine-t-4-25-b40: 8648 (1.12%)\n", "chirp-v3p5-engine-t-4-23-b80: 2294 (0.30%)\n", "chirp-v3p5-engine-t-5: 1897 (0.25%)\n", "chirp-v2-xxl-alpha: 1746 (0.23%)\n", "chirp-v3p5-engine-ft-1: 702 (0.09%)\n", "chirp-v3p5-engine-b: 524 (0.07%)\n", "chirp-v3p5-engine-short: 24 (0.00%)\n", "chirp-v3-5-tau: 12 (0.00%)\n", "chirp-v3-5-upload: 7 (0.00%)\n" ] } ], "source": [ "print_out_value_counts_nicely(interesting_clips, \"model_name\")" ] }, { "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": "2024-10-09T17:54:01.006577Z", "iopub.status.busy": "2024-10-09T17:54:01.006433Z", "iopub.status.idle": "2024-10-09T17:54:01.075797Z", "shell.execute_reply": "2024-10-09T17:54:01.075300Z", "shell.execute_reply.started": "2024-10-09T17:54:01.006563Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Time Validation:\n", "--------------------\n", "Interesting Clips:\n", " Earliest: 2024-10-08 04:30:00.959164+00:00\n", " Latest: 2024-10-09 16:11:15.942172+00:00\n", "\n", "All Clips:\n", " Earliest: 2024-10-08 04:30:00.089759+00:00\n", " Latest: 2024-10-09 16:12:28.390783+00:00\n" ] } ], "source": [ "print(\"Time Validation:\")\n", "print(\"-\" * 20)\n", "print(\"Interesting Clips:\")\n", "print(f\" Earliest: {interesting_clips['created_at'].min()}\")\n", "print(f\" Latest: {interesting_clips['created_at'].max()}\")\n", "print(\"\\nAll Clips:\")\n", "print(f\" Earliest: {clip_df['created_at'].min()}\")\n", "print(f\" Latest: {clip_df['created_at'].max()}\")" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:50.674838Z", "start_time": "2024-05-26T00:24:46.366677Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:01.076583Z", "iopub.status.busy": "2024-10-09T17:54:01.076425Z", "iopub.status.idle": "2024-10-09T17:54:03.120419Z", "shell.execute_reply": "2024-10-09T17:54:03.119814Z", "shell.execute_reply.started": "2024-10-09T17:54:01.076568Z" } }, "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": "2024-10-09T17:54:03.121346Z", "iopub.status.busy": "2024-10-09T17:54:03.121189Z", "iopub.status.idle": "2024-10-09T17:54:04.084733Z", "shell.execute_reply": "2024-10-09T17:54:04.084145Z", "shell.execute_reply.started": "2024-10-09T17:54:03.121331Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ratio of preferred clips to total clips for each model:\n", "------------------------------------------------------------\n", "chirp-v2-engine-msft-60s nan% ± nan%\n", "chirp-v2-xxl-alpha 3.75% ± 0.12%\n", "chirp-v3-5-short nan% ± nan%\n", "chirp-v3-5-tau 16.00% ± 5.18%\n", "chirp-v3-5-upload 12.77% ± 4.87%\n", "chirp-v3-5|chirp-v3-0 nan% ± nan%\n", "chirp-v3-engine-i 4.00% ± 0.05%\n", "chirp-v3p5-engine-b 0.12% ± 0.01%\n", "chirp-v3p5-engine-ft-1 4.74% ± 0.25%\n", "chirp-v3p5-engine-s-29 6.25% ± 0.04%\n", "chirp-v3p5-engine-s-8 5.31% ± 0.01%\n", "chirp-v3p5-engine-short 4.41% ± 1.25%\n", "chirp-v3p5-engine-t-3 8.49% ± 0.05%\n", "chirp-v3p5-engine-t-4-23-b40 6.84% ± 0.07%\n", "chirp-v3p5-engine-t-4-23-b80 6.39% ± 0.19%\n", "chirp-v3p5-engine-t-4-25-b20 7.31% ± 0.06%\n", "chirp-v3p5-engine-t-4-25-b40 7.12% ± 0.10%\n", "chirp-v3p5-engine-t-5 6.05% ± 0.19%\n", "chirp-v3p5-engine-upload-4 6.91% ± 0.05%\n" ] } ], "source": [ "# Calculate the ratio of preferred clips to total clips for each model\n", "clip_df_model_counts = clip_df[\"model_name\"].value_counts()\n", "preference_ratio = (\n", " interesting_clips[interesting_clips[\"preference\"]][\"model_name\"].value_counts()\n", " / clip_df_model_counts\n", ")\n", "\n", "# Print the results in a formatted manner\n", "print(\"Ratio of preferred clips to total clips for each model:\")\n", "print(\"-\" * 60)\n", "for model, ratio in preference_ratio.items():\n", " n = clip_df_model_counts[model]\n", " uncertainty = (ratio * (1 - ratio) / n) ** 0.5\n", " print(f\"{model:<30} {ratio:.2%} ± {uncertainty:.2%}\")" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:56.302599Z", "start_time": "2024-05-26T00:24:51.601863Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:04.085590Z", "iopub.status.busy": "2024-10-09T17:54:04.085434Z", "iopub.status.idle": "2024-10-09T17:54:08.905040Z", "shell.execute_reply": "2024-10-09T17:54:08.904473Z", "shell.execute_reply.started": "2024-10-09T17:54:04.085575Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "len pos models: 386018\n", "differing counts: 57527\n", "chirp-v2-xxl-alpha_win_over_chirp-v2-xxl-alpha, win ratio 1.000, counts 873\n", "chirp-v3-5-tau_win_over_chirp-v3p5-engine-t-3, win ratio 0.667, counts 6\n", "chirp-v3-5-tau_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.500, counts 1\n", "chirp-v3-5-tau_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 1.000, counts 1\n", "chirp-v3-5-upload_win_over_chirp-v3p5-engine-upload-4, win ratio 0.857, counts 6\n", "chirp-v3-engine-i_win_over_chirp-v3-engine-i, win ratio 1.000, counts 5904\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, counts 262\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, counts 351\n", "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, counts 18153\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, counts 265695\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3, win ratio 0.527, counts 3979\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.519, counts 4080\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 0.548, counts 485\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.528, counts 5405\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-25-b40, win ratio 0.528, counts 1777\n", "chirp-v3p5-engine-short_win_over_chirp-v3p5-engine-short, win ratio 1.000, counts 12\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3-5-tau, win ratio 0.333, counts 3\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-s-8, win ratio 0.473, counts 3566\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 16304\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.475, counts 1748\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 0.495, counts 697\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.459, counts 3806\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b40, win ratio 0.466, counts 2460\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5, win ratio 0.436, counts 58\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3-5-tau, win ratio 0.500, counts 1\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-s-8, win ratio 0.481, counts 3787\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.525, counts 1935\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 1.000, counts 6\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.493, counts 4349\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-s-8, win ratio 0.452, counts 400\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-t-3, win ratio 0.505, counts 710\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-s-8, win ratio 0.472, counts 4823\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-3, win ratio 0.541, counts 4483\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.507, counts 4474\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 1.000, counts 6\n", "chirp-v3p5-engine-t-4-25-b40_win_over_chirp-v3p5-engine-s-8, win ratio 0.472, counts 1588\n", "chirp-v3p5-engine-t-4-25-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.534, counts 2823\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-3, win ratio 0.564, counts 75\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, counts 882\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3-5-upload, win ratio 0.143, counts 1\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, counts 20042\n", "tournament players: ['chirp-v3-5-tau', 'chirp-v3-5-upload', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-4-23-b40', 'chirp-v3p5-engine-t-4-23-b80', 'chirp-v3p5-engine-t-4-25-b20', 'chirp-v3p5-engine-t-4-25-b40', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-upload-4']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 622.06it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3-5-tau: 1000.8, (991, 1244)\n", "chirp-v3-5-upload: 1001.1, (1000, 1323)\n", "chirp-v3p5-engine-s-8: 1016.4, (977, 1021)\n", "chirp-v3p5-engine-t-3: 984.4, (945, 989)\n", "chirp-v3p5-engine-t-4-23-b40: 1001.7, (963, 1007)\n", "chirp-v3p5-engine-t-4-23-b80: 985.8, (948, 997)\n", "chirp-v3p5-engine-t-4-25-b20: 1004.8, (965, 1009)\n", "chirp-v3p5-engine-t-4-25-b40: 1003.9, (963, 1011)\n", "chirp-v3p5-engine-t-5: 1002.4, (980, 1091)\n", "chirp-v3p5-engine-upload-4: 998.9, (679, 1000)\n" ] }, { "data": { "image/png": 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U6IknntCJEyfkcrk0YMAA/epXv1JYWJjpaLgCM80+rB1xLbBhDMAxGGz2iYyM1FtvvaUJEyZ4rz344IOSpCeffNJULLSBmtmrpQd/BgUFKSIiQuHh4QYSoTX0mb1a+5YTnMff318BAQEKCAhQSEiIhgwZIknq378/dz1a4Omnn9Zjjz2mBx54QJJUVFSkp59+WtnZ2YaT4UrMNHuxdoQveOgdAMdhsAHAV/30pz9VSUmJxo8fL5fLpT179igiIkIffvihkpOTNWfOHNMRgW5l4cKFWrdunekYaEVcXJwKCgokSTt37tT999/v/WzKlCnasWOHqWjogMvr19Y1AFePtSN84Wc6AABc6eOPP1ZWVpaOHTum48ePKysrSyUlJVqyZEmzswXhTL/97W9NR0AnUTM71NfXKy8vTytXrtRzzz2nvLw8nTt3Tq+88opeeeUV0/HQDvrMPtXV1aYjoA1JSUk6c+aMJDXbLP7oo480atQoU7HQQd/85je1f/9+7/uSkhLdddddBhOhM5hpdmDtCF+wYQzAcRhsdisqKjIdAZ1Ezexw/PjxZg/fGjBggGpra9W3b1/16MEpY05Hn9mHL2I6W3JysgIDA79y/c4779SKFSsMJEJnvP/++0pJSVFMTIxiYmL0wx/+UOXl5UpISFBCQoLpeGgHM80OrB3hC/4PAeA4DDa78Qu2faiZHQYPHqz169crMTFRkpSdna1BgwbJ7XZzXqcF6DP7bN682XQEdEBCQoJmzpypqVOnKjg42HQcdNAzzzxjOgJ8wEyzA2tH+IIzjAE4zrx583T33Xc3G2ylpaXatGmTEhMTlZeXZzYg2vTOO+8oOjradAx0AjWzw6effqqVK1dq3759kqR77rlHTz31lPr27avKykqFhoYaToi20Gd2OXr0qMrLyzV8+HDdfvvtpuOgDSUlJcrJydGePXsUHR2txMREjR07ls0QoAsx0+zA2hG+YMMYgOMw2OyWlZWlpKQk0zHQCdQM6Hr0mbMtWbJEL7zwgiRp//79euKJJzRixAh98MEHWrZsmSZPnmw4Idpz7tw5FRUVKTc3V0eOHNHevXtNR0IbHnrooRY39XleiR2YaUD3x3e7ATjOwIED9dJLL7X4GZvFzlJcXPyVa+vWrdPAgQMlSZMmTbrekdAOama3srIyVVVVye12e6/Fx8ebC4QW0Wf2+fDDD72vN2zYoPXr1ysyMlKVlZVatGgRG8YWOHfunOrq6vTZZ5+pT58+puOgHfPmzfO+/uKLL7R9+3bdcccd5gKhVcw0u7F2xNViwxiAIzHY7PDoo48qIiJCN910k/fa6dOnlZGRIZfLxQLSgaiZvZYtW6Y///nPGjFihPz8Lj232OVy8bPRgegz+1x+p+OpU6cUGRkpSbrjjjuarUXgPLt27VJOTo7KysoUGxur1atXKzw83HQstGP8+PHN3k+aNEk//OEPzYRBm5hp9mLtCF+wYQzAcRhs9nj++ef12muvaenSpfrmN78pSZo4cSIPCnIwamavd955R4WFherVq5fpKGgHfWafY8eOadWqVfJ4PDp58qTcbrf8/f0liQ1jh8vKytKMGTP00ksv8fPRYk1NTaqtrTUdAy1gptmLtSN8wYYxAMdhsNkjMTFR99xzj37+859r1KhReuSRR3jIjMNRM3sNHDhQPXv2NB0DHUCf2Sc5Odn7etasWTp16pRuueUWHT9+XCNHjjSYDO1JT0/3vs7NzVVCQoLBNOioRx991Ptz0e1264MPPtC4ceMMp0JLmGn2Yu0IX/DQOwCOk5ycrD/84Q8sRCzi8Xj0u9/9Trt27dInn3yiP/3pT6YjoR3UzD5r1qxRdXW1HnjggWZ/UOOroM5FnwHXV0JCgnJzc03HQAdcXid/f3/dfvvt+va3v20wEdrDTLMPa0f4gg1jAI7DYLPXhx9+qL/85S+aPXu26SjoIGpmj4ceeugr11wuF0+UtwB9ZqeFCxdq3bp1pmOgE+Lj45WXl2c6Bjqpvr5ewcHBpmOgg5hp9mDtCF9wJAUAxykvL5ckbd261XuNByrY4Rvf+Ia3frADNbMHZwXaiz6zU3V1tekI6KSUlBTTEXAVUlJSuDPcIsw0e7B2hC/YMAbgOAw2u2VmZnJ+oGWomR0aGxuVmZmpqqoqLV++XFVVVfrkk08UHR1tOho6gD6zD1/EtEdNTY3effdd+fn5qaamRkOGDDEdCZ1Ar9mHmWYH1o7whZ/pAABwpcbGRqWnp2v58uWSpKqqKr3zzjtmQ6HDWPTbh5rZYcWKFfr444+1f/9+SVLfvn31wgsvGE6FjqLP7MMfsO1QUFCghIQE7d69Wzt37tSMGTO0Y8cO07HQCSEhIaYjoJOYaXZg7QhfcIcxAMdZsWKFmpqadODAAUmXBtvjjz+unJwcw8nQEXwd1D7UzA5lZWXKz89XfHy8JCkoKEiNjY1mQ6HD6DPnq6iokCSFhYWpsrJSe/fuVWhoKHdiOVxaWpq2bdumoUOHSrp0lMj8+fM1ZcoUw8nQEQ0NDUpNTTUdA53ETLMDa0f4gjuMAThOWVmZVq5c6X3gHYPN+b68G1ySd0Fy+TU4DzWzz+UPAZUkt9vNHT4OR5/ZY/PmzXrkkUf0L//yL8rIyNATTzyhv//971q+fLmysrJMx0Mbevfu7d0slqTbbrtNvXv3NpgIHVFRUaGpU6cqJiZG0qVnmKxdu9ZwKrSFmWYf1o7wBRvGAByHwWafsrKyr1w7ePCggSToKGpmn9DQUOXn56upqUmHDx/WsmXLFBUVZToW2kCf2ePVV1/V9u3blZ2drV/96ldKS0vTL37xC23dupUNY4cbN26c1q1bp2PHjuno0aNav369JkyYoDNnzujMmTOm46EVzz//vJYvX67+/ftLkkaOHKm33nrLcCq0hZlmH9aO8AVHUgBwnCsH26ZNmxhsDlVYWKgdO3aourpaCxYs8F4/ffq0br75ZoPJ0BpqZq+f/exnWrNmjU6cOKGkpCRNnjxZixcvNh0LLaDP7OPv76+AgAAFBAQoJCTE+9C0/v37y+VyGU6HtmzcuFHSpaMpLveb3/xGLpdLhw4dMhEL7Th79qxGjx7tfe9yuXTTTTcZTITWMNPsxdoRvmDDGIDjMNjsMWzYME2aNEnvv/++Jk2a5L0eGBjImY8ORc3sFRAQoBUrVmjFihWmo6Ad9Jl93G639/XChQubfdbQ0HC946ATvjx7Gnbp0aOHLl686P2DzNGjR+XnxxegnYiZZi/WjvCFy8P3vAEAPqqrq/N+pbC+vl7BwcGGE6E91MxuCxcu1Lp160zHQDvoM3ts2bJF06dPV2BgYLPrH330kX7/+9/zy7ZDud1uxcXFqbCw0HQUdFJ+fr527NihDz74QPHx8SooKNDixYv14IMPmo6GVjDT7MbaEZ3Fn/AAONqVd/nAmb5cPEo8NdkW1Mxu1dXVpiOgA+gzeyQnJ39ls1iS7rzzTjaLHczf31/9+/fX+fPnTUdBJ02fPl0/+tGPNHXqVF28eFFr165ls9jhmGl2Y+2IzuJICgCOxmCzD19csQ81sw81sw81s0NCQoJmzpypqVOncvecJUJCQjR79mzFxsY2O091zpw5BlOhIyIjIxUZGWk6Bq4CM80+1AydxYYxAEdjsNknJCTEdAR0EjWzz+bNm01HQCfRZ3ZYunSpcnJylJqaqujoaCUmJmrs2LE8+M7BPB6PRowYocOHD5uOgk6orq7Wpk2bdOTIETU2NnqvZ2ZmGkyFjmKm2Ye1IzqLM4wBONrp06fVp08f0zHQQQ0NDerZs6fpGOgEamafo0ePqry8XMOHD9ftt99uOg46gD6zz7lz51RUVKTc3FwdOXJEe/fuNR0J6FZmzpyp6OhoRUREyN/f33t9/Pjx5kKhQ5hp9mHtiKvBGcYAHOvo0aPat28fd4xYoKKiQlOnTlVMTIwkqby8XGvXrjWcCm2hZvZYsmSJ9/X+/fuVmJiorKwsJScna/fu3QaToT30mb3OnTunuro6ffbZZ/zh2qFKSkokScXFxS3+g7N98cUXWrRokSZNmqTx48d7/8G5mGn2YO2Ia4ENYwCOwWCz1/PPP6/ly5d7H4YxcuRIvfXWW4ZToS3UzB4ffvih9/WGDRu0fv16vfzyy/rDH/6gjRs3GkyG9tBn9tm1a5d+9KMfKS4uTp988olWr16tgoIC07HQgtdff12SlJGR8ZV/v//97w2nQ3uGDx+umpoa0zHQCcw0e7B2xLXAGcYAHKOlwRYZGanKykotWrRIkydPNpgObTl79qxGjx7tfe9yuXTTTTcZTIT2UDN7XH526qlTp7wPCLrjjjvkdrtNxUIH0Gf2ycrK0owZM/TSSy+pV69epuOgDStXrpTEuZy2qqur0/Tp0xUREdGs19avX28wFdrCTLMHa0dcC2wYA3AMBpu9evTooYsXL3prePToUfn58SUWJ6Nm9jh27JhWrVolj8ejkydPyu12e8975Gejs9Fn9klPT/e+zs3NVUJCgsE06Kja2lpVV1c3+5k4ZswYg4nQnmnTpmnatGmmY6ATmGn2YO2Ia4ENYwCOwWCzV3Jysh599FHV1dXpxRdfVEFBgRYvXmw6FtpAzeyRnJzsfT1r1iydOnVKt9xyi44fP66RI0caTIb20Gd2y8zMZMPYAhs2bNDLL7+soUOHejevXC6Xtm3bZjgZ2kJv2YeZZg/WjrgWXB6Px2M6BABIX/0K2uzZs72D7cUXX9Tq1asNJUNHlJaWqri4WB6PRxMnTmz2lTU4EzUDuh59Zq/4+Hjl5eWZjoF2xMTE6LXXXlO/fv1MR0EHpKena+7cuVq1alWLny9duvQ6J0JnMNOAGwcbxgAAABZoaGhQRkaG3n77bblcLkVHRyslJUU9e/Y0HQ3olvLy8hQfH286BtqRlJSkrKws0zHQQVlZWUpKSmr1rOIFCxZc50RA98XaEb5gwxiA4zDY7FNdXa1NmzbpyJEjamxs9F7PzMw0mAptoWb2Wbp0qU6ePKmZM2dKknJychQcHNzqXVowjz6zU01Njd599125XC6NHj1aQ4YMMR0JLaioqJAk7dq1S6dPn1ZcXFyztWJYWJipaEC3xEyzD2tH+IINYwCOw2Czz8yZMxUdHa2IiAjvudOSNH78eHOh0CZqZp/Y2Fi98cYb3ofNuN1uTZkyRUVFRYaToTX0mX0KCgq0cuVKjRkzRh6PRwcOHNAzzzyjKVOmmI6GK0ycOLHVz1wul4qLi69jGnRWS3cYBwUFKSIiQuHh4QYSoT3MNPuwdoQveOgdAMc5ePBgs8E2YcIEflFzuC+++EKLFi0yHQOdQM3s07dvX124cEG9e/eWdOnbGJzZ6Wz0mX3S0tK0bds2DR06VNKlO+rmz5/POsSB3nzzTUlScXGxRo8ereDgYElSfX29SktLTUZDB3z88ccqKSnR+PHj5XK5tGfPHkVERGjLli1KTk7WnDlzTEfEFZhp9mHtCF+wYQzAcRhs9hk+fLhqamr42q5FqJl9hg0bpu9973uKjY2VJO3cuVPf+ta3vF8F5Zdr56HP7NO7d2/vZrEk3Xbbbd71CJwpNTVV+fn53vdBQUFKTU3VhAkTDKZCe+rr65WXl6cBAwZIkk6cOKEnn3xSr7zyChvGDsVMsw9rR/iCDWMAjsNgs09dXZ2mT5+uiIgI9erVy3u9tQeawDxqZh+Px6O77rpL1dXVkqSRI0eqqalJhw4dMpwMraHP7DNu3DitW7dOs2bNksfjUXZ2tiZMmKAzZ85IkgIDAw0nRHtcLpfcbrfpGGjH8ePHvZvFkjRgwADV1taqb9++6tGDbQonYqbZh7UjfMFPYgCOw2Czz7Rp0zRt2jTTMdAJ1Mw+nONuH/rMPhs3bpR06WiKy/3mN7+Ry+ViLeJAAQEBKi0tVWRkpCTpwIEDCggIMJwK7Rk8eLDWr1+vxMRESVJ2drYGDRokt9vtPZYOzsJMsw9rR/iCh94BAAA4XEVFhSQpLCxMlZWV2rt3r0JDQxUdHW04GQCYdfDgQS1YsEDDhg2TJFVWViotLY0Hpzncp59+qpUrV2rfvn2SpHvuuUdPPfWU+vbtq8rKSoWGhhpOCNiNtSN8xYYxAEdhsNklPT1dc+fObfWv10uXLr3OidAeamafzZs3Kz09XY2NjZo3b57y8/MVHh6uffv26eGHH1ZSUpLpiLgCfWYnt9utuLg4FRYWmo6CTqqvr9d7770nSbr77rsVFBRkNhDQjTDT7MPaEdcCR1IAcIzWBtvWrVsZbA518803S5L69OljOAk6iprZ59VXX9X27dt19uxZxcTEqKioSEOGDFFdXZ3mzp3Lz0YHos/s5O/vr/79++v8+fM86M4ywcHBGjdunOkY6KSysjJVVVU1O3M6Pj7eXCC0iJlmH9aOuBbYMAbgGAw2+3xZkwULFhhOgo6iZvbx9/dXQECAAgICFBIS4n06ef/+/Tnn0aHoM3uFhIRo9uzZio2N9W6SSDxwF7jWli1bpj//+c8aMWKE/Pz8JF16YCEbxs7DTLMPa0dcC2wYA3AMBpu9Wno6clBQkCIiIjhD0KGomT0uv/Nq4cKFzT5raGi43nHQCfSZfTwej0aMGKHDhw+bjgJ0a++8844KCwvVq1cv01HQQcw0e7B2xLXAhjEAx2Cw2evjjz9WSUmJxo8fL5fLpT179igiIkJbtmxRcnIyd2Y5EDWzR1JSks6cOaPAwEDdf//93usfffSRRo0aZTAZ2kOf2YcnygPXx8CBA9WzZ0/TMdAJzDR7sHbEtcCGMQDHYLDZq76+Xnl5eRowYIAk6cSJE3ryySf1yiuvsIB0KGpmj+Tk5Bav33nnnVqxYsV1ToPOoM/sUVJSoqioKBUXF7f4+aRJk65zIqB7Cw8P12OPPaYHHnig2V3G9JpzMdPswdoR1wIbxgAcg8Fmr+PHj3sXj5I0YMAA1dbWqm/fvurRg1HjRNTMPgkJCZo5c6amTp2q4OBg03HQAfSZPV5//XVFRUUpIyPjK5+5XC42sYBrrLy8XJK0detW7zV6zdmYafZh7Qhf0NUAHIfBZp/Bgwdr/fr1SkxMlCRlZ2dr0KBBcrvdnD/tUNTMPkuXLlVOTo5SU1MVHR2txMREjR07lno5GH1mj5UrV0qSNm/ebDgJcGOg1+zDTLMPa0f4wuXxeDymQwDA5UpKSpSTk6M9e/Yw2Czx6aefauXKldq3b58k6Z577tFTTz2lvn37qrKyUqGhoYYT4krUzF7nzp1TUVGRcnNzdeTIEe3du9d0JLSCPrNTbW2tqqurmz1bYcyYMQYTAd1PY2OjMjMzVVVVpeXLl6uqqkqffPKJoqOjTUdDK5hp9mLtiKvBhjEAx2KwAcBXnThxQnl5ecrJyZG/v78KCgpMRwK6jQ0bNujll1/W0KFD5efnJ+nS1+S3bdtmOBnQvTz77LNqamrSgQMH9MYbb+jzzz9XSkqKcnJyTEcDuh3WjrgaHEkBwLHOnTunuro6ffbZZ+rTp4/pOGhHWVmZqqqqmt2RFR8fby4Q2kXN7LJr1y7l5OSorKxMsbGxWr16tcLDw03HQjvoM7tkZ2dr9+7d6tevn+koQLdWVlam/Px878/DoKAgNTY2mg2FdjHT7MLaEb5gwxiA4zDY7LNs2TL9+c9/1ogRI5rdkcUC0rmomX2ysrI0Y8YMvfTSS82eKA/nos/sM2DAADaLgevgyjnmdrvFl5+djZlmH9aO8AUbxgAch8Fmn3feeUeFhYXUyyLUzD7p6ene17m5uUpISDCYBh1Bn9mjoqJCknTvvffq+eefV1xcnHr27On9PCwszFQ0oFsKDQ1Vfn6+mpqadPjwYW3atElRUVGmY6ENzDT7sHaEL9gwBuA4DDb7DBw4sNkv1nA+ama3zMxMfjZagD6zx49//ONm74uLi72vXS5Xs/cAfPezn/1Ma9as0YkTJ5SUlKTJkydr8eLFpmOhDcw0u7F2RGexYQzA0RhsdggPD9djjz2mBx54oNldB5MmTTKYCm2hZnbja7t2oM/s8eabb0q6tFE8evRoBQcHS5Lq6+tVWlpqMhrQLQUEBGjFihVasWKF6SjoIGaa3Vg7orPYMAbgaAw2O5SXl0uStm7d6r3mcrlYQDoYNbNbSkqK6QjoAPrMPqmpqcrPz/e+DwoKUmpqqiZMmGAwFdC9LVy4UOvWrTMdA+1gptmNtSM6iw1jAI7GYLPD5s2bTUdAJ1EzO9XU1Ojdd9+Vn5+fampqNGTIENOR0Ab6zH4ul0tut9t0DKBbq66uNh0BHcBMsxNrR1wtP9MBAKAlNTU1ys/P9w42OFtjY6PS09O1fPlySVJVVZXeeecds6HQJmpmn4KCAiUkJGj37t3auXOnZsyYoR07dpiOhTbQZ/YJCAhodgTFgQMHFBAQYDAR0P3xjUI7MNPsw9oRvuAOYwCOU1BQoJUrV2rMmDHyeDz65S9/qWeeeUZTpkwxHQ2tWLFihZqamnTgwAFJUt++ffX4448rJyfHcDK0hprZJy0tTdu2bdPQoUMlXboja/78+fxsdDD6zD5LlizRggULNGzYMElSZWWl0tLSDKcCujfuXLUDM80+rB3hCzaMATgOg80+ZWVlys/PV3x8vKRLZz42NjaaDYU2UTP79O7d2/tzUZJuu+029e7d22AitIc+s8/dd9+twsJCvffee973QUFBZkMB3djRo0dVXl6u4cOH6/bbbzcdB21gptmHtSN8wZEUAByHwWafy5+ULElut5uvFzocNbPPuHHjtG7dOh07dkxHjx7V+vXrNWHCBJ05c0ZnzpwxHQ8toM/sFBwcrHHjxmncuHFsFgPX2JIlS7yv9+/fr8TERGVlZSk5OVm7d+82mAztYabZh7UjfMEdxgAc58vBNmvWLHk8HmVnZ3sHmyQFBgYaTogrhYaGKj8/X01NTTp8+LA2bdqkqKgo07HQBmpmn40bN0rSV74e/5vf/EYul0uHDh0yEQttoM8AoLkPP/zQ+3rDhg1av369IiMjVVlZqUWLFmny5MkG06EtzDT7sHaEL1we/iQEwGHCwsJa/YzB5kxnz57VmjVr9N///d/yeDyaPHmyli5dyp3hDkbNgK5HnwFAcwkJCcrNzZUkxcfHKy8vz/vZle/hLMw04MbChjEAAIDDud1uxcXFqbCw0HQUAACuWnR0tKZNmyaPx6OdO3fqzTfflL+/vyQpLi5OBQUFhhMC3QNrR/iKM4wBOIrb7daDDz5oOgZ8sHDhQtMR0EnUzPn8/f3Vv39/nT9/3nQUXCX6DACk5ORk9enTR0FBQZo1a5ZOnTolSTp+/LhGjhxpNhw6jJnmfKwd4SvOMAbgKJcPNr7eZKfq6mrTEdBJ1MwOISEhmj17tmJjY3XzzTd7r8+ZM8dgKnQUfQYA0oIFC1q8PnjwYK1evfo6p8HVYqbZgbUjfMGGMQDHYbDZjZOO7EPN7ODxeDRixAgdPnzYdBRcBfoMAP5fQ0ODMjIy9Pbbb8vlcik6OlopKSnq2bOn6WjoAGaaHVg7whecYQzAcZYuXdri9VWrVl3nJLgap0+fVp8+fUzHQCdQM6Dr0WcA8P+WLl2qkydPaubMmZKknJwcBQcHs963BDMN6P7YMAYAXDNHjx5VeXm5hg8frttvv910HHQANXO+kpISRUVFqbi4uMXPJ02adJ0TobPoMwBoLjY2Vm+88YZcLpekS88xmTJlioqKigwnQ3uYac7H2hHXAkdSAHAMBpt9lixZohdeeEGStH//fj3xxBMaMWKEPvjgAy1btkyTJ082nBBXomb2ef311xUVFaWMjIyvfOZyufjZ6ED0GQC0rW/fvrpw4YL3mSUNDQ3q16+f4VRoCTPNPqwdcS2wYQzAMRhs9vnwww+9rzds2KD169crMjJSlZWVWrRoEQtIB6Jm9lm5cqUkafPmzYaToKPoMwBo27Bhw/S9731PsbGxkqSdO3fqW9/6ljIzMyXx7BInYabZh7UjrgU2jAE4BoPNPl9+jVCSTp06pcjISEnSHXfcIbfbbSoW2kDN7FZbW6vq6upmtRozZozBRGgJfQYAbfN4PLrrrrtUXV0tSRo5cqSampp06NAhw8lwJWaa3Vg74mqxYQzAkRhsdjh27JhWrVolj8ejkydPyu12y9/fX5JYQDoUNbPXhg0b9PLLL2vo0KHy8/OTdOmXuG3bthlOhivRZwDQNh5uZw9mmr1YO8IXbBgDcBwGmz2Sk5O9r2fNmqVTp07plltu0fHjxzVy5EiDydAaamav7Oxs7d69mzMeLUCfAUDrKioqJElhYWGqrKzU3r17FRoaqujoaMPJ0BJmmr1YO8IXLo/H4zEdAgAuFxMTo9dee43BBgCXSUpKUlZWlukYAABctc2bNys9PV2NjY2aN2+e8vPzFR4ern379unhhx9WUlKS6YhAt8HaEb5gwxiA4zDY7NPQ0KCMjAy9/fbbcrlcio6OVkpKinr27Gk6GlpBzezx5Z1Yu3bt0unTpxUXF9esTmFhYaaioR30GQA0FxcXp6ysLJ09e1YxMTEqKirSkCFDVFdXp7lz5yovL890RLSCmWYP1o64FtgwBuAYDDZ7LV26VCdPntTMmTMlSTk5OQoODuZ8OgejZvaYOHFiq5+5XC4VFxdfxzToDPoMAJqLj4/3bgpPnTpV27dv936WkJCg3NxcQ8nQHmaaPVg74lrgDGMAjvHjH/+42fvLBxmDzdkOHjyoN954w/sU5QkTJmjKlCmGU6Et1Mweb775pqRLPxNHjx6t4OBgSVJ9fb1KS0tNRkM76DMAaO7yh6QtXLiw2WcNDQ3XOw46gZlmD9aOuBbYMAbgGAw2e/Xt21cXLlxQ7969JV1a8HMGtbNRM/ukpqYqPz/f+z4oKEipqamaMGGCwVRoC30GAM0lJSXpzJkzCgwM1P333++9/tFHH2nUqFEGk6E9zDT7sHaEL9gwBuA4DDb7DBs2TN/73vcUGxsrSdq5c6e+9a1vKTMzU5I0Z84ck/HQAmpmP5fL1exOLTgPfQYAzSUnJ7d4/c4779SKFSuucxp0BjPNfqwd0RlsGANwPAab83k8Ht11112qrq6WJI0cOVJNTU06dOiQ4WRoDTWzT0BAgEpLSxUZGSlJOnDggAICAgynQlvoMwBoWUJCgmbOnKmpU6d6v1UIZ2Om2Ye1I3zBQ+8AOM4PfvADLV68uNlg+/d//3dt3brVcDIAMOfgwYNasGCBhg0bJkmqrKxUWlqawsPDDScDAKBzSkpKlJOToz179ig6OlqJiYkaO3as93xcAL5j7QhfsGEMwHEYbHapqKiQJIWFhamyslJ79+5VaGiooqOjDSdDa6iZverr6/Xee+9Jku6++24FBQWZDYRW0WcA0L5z586pqKhIubm5OnLkiPbu3Ws6ElrATLMXa0dcLTaMATgSg80OmzdvVnp6uhobGzVv3jzl5+crPDxc+/bt08MPP6ykpCTTEXEFagZ0PfoMADrmxIkTysvLU05Ojvz9/VVQUGA6Eq7ATANuTGwYAwCuWlxcnLKysnT27FnFxMSoqKhIQ4YMUV1dnebOnau8vDzTEXEFagZ0PfoMANq2a9cu5eTkqKysTLGxsUpISODbhA7FTANuTDz0DgBw1fz9/RUQEKCAgACFhIRoyJAhkqT+/ftzBp1DUTOg69FnANC2rKwszZgxQy+99JJ69eplOg7awEwDbkxsGAMArprb7fa+XrhwYbPPGhoarnccdAA1A7oefQYAbUtPT/e+zs3NVUJCgsE0aAszDbgx+ZkOAACwV1JSks6cOSNJuv/++73XP/roI40aNcpULLSBmgFdjz4DgI7LzMw0HQFtYKYBNybOMAYAAAAAAEbEx8dzDi4AOAx3GAMAfJaQkKAtW7aovr7edBR0EDUDuh59BgDtS0lJMR0BHcBMA24s3GEMAPBZSUmJcnJytGfPHkVHRysxMVFjx47lQRgORs2ArkefAUDrampq9O6778rlcmn06NHeh6nBmZhpwI2FDWMAwDVz7tw5FRUVKTc3V0eOHNHevXtNR0I7qBnQ9egzAGiuoKBAK1eu1JgxY+TxeHTgwAE988wzmjJliuloaAczDbgx9DAdAADQfZw7d051dXX67LPP1KdPH9Nx0AHUDOh69BkANJeWlqZt27Zp6NChkqTq6mrNnz+fDWMLMNOAGwMbxgAAn+3atUs5OTkqKytTbGysVq9erfDwcNOx0AZqBnQ9+gwAWta7d2/vZrEk3Xbbberdu7fBRGgPMw24sXAkBQDAZ3PnztWMGTM0efJk9erVy3QcdAA1A7oefQYALfv1r38tf39/zZo1Sx6PR9nZ2WpqatLcuXMlSYGBgYYT4krMNODGwoYxAOCays3NVUJCgukY6ARqBnQ9+gwA/l9YWFirn7lcLh06dOg6pkFnMdOA7o8NYwDANZWQkKDc3FzTMdAJ1AzoevQZAKC7YKYB3Z+f6QAAgO6Fv0Pah5oBXY8+A4BL3G63HnzwQdMx4ANmGtD9sWEMALimUlJSTEdAJ1EzoOvRZwBwib+/v/r376/z58+bjoKrxEwDur8epgMAALqHmpoavfvuu/Lz81NNTY2GDBliOhLaQc2ArkefAcBXhYSEaPbs2YqNjdXNN9/svT5nzhyDqdAeZhpw4+AOYwCAzwoKCpSQkKDdu3dr586dmjFjhnbs2GE6FtpAzYCuR58BQMs8Ho9GjBihw4cP69ChQ95/cC5mGnBj4aF3AACfxcbGatOmTRo6dKgkqbq6WvPnz1dRUZHhZGgNNQO6Hn0GAOgumGnAjYUjKQAAPuvdu7d38ShJt912m3r37m0wEdpDzYCuR58BQHMlJSWKiopScXFxi59PmjTpOidCRzHTgBsLG8YAAJ+NGzdO69at06xZs+TxeJSdna0JEybozJkzkqTAwEDDCXElagZ0PfoMAJp7/fXXFRUVpYyMjK985nK52DB2MGYacGPhSAoAgM/CwsJa/czlcnEmnQNRM6Dr0WcAgO6CmQbcWNgwBgAAAAAA11Vtba2qq6vldru918aMGWMwEQDgSxxJAQDwidvtVlxcnAoLC01HQQdRM6Dr0WcA0LoNGzbo5Zdf1tChQ+Xn5yfp0l2q27ZtM5wMLWGmATceNowBAD7x9/dX//79df78eR58YQlqBnQ9+gwAWpedna3du3erX79+pqOgA5hpwI2HDWMAgM9CQkI0e/ZsxcbG6uabb/ZenzNnjsFUaAs1A7oefQYALRswYACbxZZhpgE3FjaMAQA+83g8GjFihA4fPmw6CjqImgFdjz4DgOYqKiokSffee6+ef/55xcXFqWfPnt7P23qwGsxipgE3Fh56BwAAAAAAutzEiRNb/czlcqm4uPg6pgEAtIY7jAEAV62kpERRUVGtLu4nTZp0nROhPdQM6Hr0GQC07M0335QkFRcXa/To0QoODpYk1dfXq7S01GQ0tIKZBtyY2DAGAFy1119/XVFRUcrIyPjKZy6XiwWkA1EzoOvRZwDQttTUVOXn53vfBwUFKTU1VRMmTDCYCi1hpgE3Jo6kAAAAAAAA18306dObbRhL0rRp0/T6668bSgQAuBx3GAMArona2lpVV1fL7XZ7r40ZM8ZgIrSHmgFdjz4DgK8KCAhQaWmpIiMjJUkHDhxQQECA4VRoDzMNuHFwhzEAwGcbNmzQyy+/rKFDh8rPz0/Spa+obdu2zXAytIaaAV2PPgOAlh08eFALFizQsGHDJEmVlZVKS0tTeHi44WRoDTMNuLGwYQwA8FlMTIxee+019evXz3QUdBA1A7oefQYArauvr9d7770nSbr77rsVFBRkNhDaxEwDbiwcSQEA8NmAAQNYPFqGmgFdjz4DgNYFBwdr3LhxpmOgg5hpwI2FO4wBAFetoqJCkrRr1y6dPn1acXFx6tmzp/fzsLAwU9HQCmoGdD36DADQXTDTgBsTG8YAgKs2ceLEVj9zuVwqLi6+jmnQEdQM6Hr0GQCgu2CmATcmNowBAD4rLi7W6NGjFRwcLOnSmXSlpaWaMGGC4WRoDTUDuh59BgDoLphpwI3Fz3QAAID9UlNTvYtHSQoKClJqaqrBRGgPNQO6Hn0GAOgumGnAjYUNYwDANedyueR2u03HQCdQM6Dr0WcAgO6CmQZ0b2wYAwB8FhAQoNLSUu/7AwcOKCAgwGAitIeaAV2PPgMAdBfMNODGwhnGAACfHTx4UAsWLNCwYcMkSZWVlUpLS1N4eLjhZGgNNQO6Hn0GAOgumGnAjYUNYwDANVFfX6/33ntPknT33XcrKCjIbCC0i5oBXY8+AwB0F8w04MbBhjEAAAAAAAAAQBJnGAMAAAAAAAAA/oENYwAAAAAAAACAJDaMAQAAAAAAAAD/wIYxAAAAAAAAAEASG8YAAAAAAAAAgH9gwxgAAAAAAAAAIIkNYwAAAAAAAADAP7BhDAAAAAAAAACQJP0fj56AgCwJCDQAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "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": "2024-10-09T17:54:08.905914Z", "iopub.status.busy": "2024-10-09T17:54:08.905750Z", "iopub.status.idle": "2024-10-09T17:54:10.143611Z", "shell.execute_reply": "2024-10-09T17:54:10.143100Z", "shell.execute_reply.started": "2024-10-09T17:54:08.905899Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/tony/anaconda3/envs/suno_env/lib/python3.10/site-packages/matplotlib/axes/_axes.py:7001: RuntimeWarning: Converting input from bool to for compatibility.\n", " m, bins = np.histogram(x[i], bins, weights=w[i], **hist_kwargs)\n" ] }, { "data": { "image/png": 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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": "2024-10-09T17:54:10.144705Z", "iopub.status.busy": "2024-10-09T17:54:10.144317Z", "iopub.status.idle": "2024-10-09T17:54:10.165184Z", "shell.execute_reply": "2024-10-09T17:54:10.164734Z", "shell.execute_reply.started": "2024-10-09T17:54:10.144688Z" } }, "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": "2024-10-09T17:54:10.165952Z", "iopub.status.busy": "2024-10-09T17:54:10.165805Z", "iopub.status.idle": "2024-10-09T17:54:14.964974Z", "shell.execute_reply": "2024-10-09T17:54:14.964369Z", "shell.execute_reply.started": "2024-10-09T17:54:10.165938Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of clips in interesting_clips:\n", "772,036\n", "Number of clips in user_interesting_clips:\n", "718,002\n", "Ratio of preferred clips to total clips for each model:\n", "------------------------------------------------------------\n", "chirp-v2-engine-msft-60s nan% ± nan%\n", "chirp-v2-xxl-alpha nan% ± nan%\n", "chirp-v3-5-short nan% ± nan%\n", "chirp-v3-5-tau nan% ± nan%\n", "chirp-v3-5-upload nan% ± nan%\n", "chirp-v3-5|chirp-v3-0 nan% ± nan%\n", "chirp-v3-engine-i nan% ± nan%\n", "chirp-v3p5-engine-b 0.06% ± 0.01%\n", "chirp-v3p5-engine-ft-1 4.51% ± 0.24%\n", "chirp-v3p5-engine-s-29 5.92% ± 0.04%\n", "chirp-v3p5-engine-s-8 5.00% ± 0.01%\n", "chirp-v3p5-engine-short 3.68% ± 1.14%\n", "chirp-v3p5-engine-t-3 8.28% ± 0.05%\n", "chirp-v3p5-engine-t-4-23-b40 6.56% ± 0.06%\n", "chirp-v3p5-engine-t-4-23-b80 6.12% ± 0.18%\n", "chirp-v3p5-engine-t-4-25-b20 7.01% ± 0.06%\n", "chirp-v3p5-engine-t-4-25-b40 6.86% ± 0.10%\n", "chirp-v3p5-engine-t-5 5.11% ± 0.18%\n", "chirp-v3p5-engine-upload-4 6.72% ± 0.05%\n" ] } ], "source": [ "# subselect interesting clips\n", "interesting_clips_masks = (interesting_clips[\"model_name\"].str.contains(\"v3p5\")) & (\n", " interesting_clips[\"reaction_play_count\"] > 0\n", ")\n", "# make sure we have pairs\n", "extra_compare_mask = interesting_clips[interesting_clips_masks][\"request_id\"].isin(\n", " interesting_clips[interesting_clips_masks][\"request_id\"]\n", " .value_counts()\n", " .index[interesting_clips[interesting_clips_masks][\"request_id\"].value_counts() == 2]\n", ")\n", "user_intersting_clips = interesting_clips[interesting_clips_masks & extra_compare_mask].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\"]][\"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": 51, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:59.204547Z", "start_time": "2024-05-26T00:24:58.891851Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:14.965866Z", "iopub.status.busy": "2024-10-09T17:54:14.965708Z", "iopub.status.idle": "2024-10-09T17:54:15.300412Z", "shell.execute_reply": "2024-10-09T17:54:15.299926Z", "shell.execute_reply.started": "2024-10-09T17:54:14.965851Z" } }, "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": "2024-10-09T17:54:15.301238Z", "iopub.status.busy": "2024-10-09T17:54:15.301081Z", "iopub.status.idle": "2024-10-09T17:54:15.653009Z", "shell.execute_reply": "2024-10-09T17:54:15.652441Z", "shell.execute_reply.started": "2024-10-09T17:54:15.301223Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Summary of user_interesting_clips:\n", "Total requests: 718,002\n", "Unique clips: 359,001\n", "Fraction of total clips: 9.67%\n", "Time Validation:\n", "Earliest timestamp: 2024-10-08 04:30:00.959164+00:00\n", "Latest timestamp: 2024-10-09 15:58:50.628709+00:00\n", "Earliest timestamp: 2024-10-08 04:30:03.317668+00:00\n", "Latest timestamp: 2024-10-09 15:58:16.795732+00:00\n" ] } ], "source": [ "print(\"Summary of user_interesting_clips:\")\n", "print(f\"Total requests: {user_intersting_clips.shape[0]:,}\")\n", "print(f\"Unique clips: {user_intersting_clips.shape[0] // 2:,}\")\n", "print(f\"Fraction of total clips: {user_intersting_clips.shape[0] / total_clip_counts:.2%}\")\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": { "ExecuteTime": { "end_time": "2024-05-26T00:25:00.484734Z", "start_time": "2024-05-26T00:25:00.377280Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:15.653865Z", "iopub.status.busy": "2024-10-09T17:54:15.653710Z", "iopub.status.idle": "2024-10-09T17:54:15.673987Z", "shell.execute_reply": "2024-10-09T17:54:15.673541Z", "shell.execute_reply.started": "2024-10-09T17:54:15.653850Z" } }, "outputs": [], "source": [ "# 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)" ] }, { "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": "2024-10-09T17:54:15.674865Z", "iopub.status.busy": "2024-10-09T17:54:15.674603Z", "iopub.status.idle": "2024-10-09T17:54:18.946337Z", "shell.execute_reply": "2024-10-09T17:54:18.945737Z", "shell.execute_reply.started": "2024-10-09T17:54:15.674850Z" } }, "outputs": [], "source": [ "user_compare_mask = (\n", " (user_intersting_clips[\"created_at\"] >= cutoff_date)\n", " # (user_intersting_clips[\"created_at\"] >= \"2024-10-09 04:30:00\") # covers t4-25-b40 out again)\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", ")\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": "2024-10-09T17:54:18.947613Z", "iopub.status.busy": "2024-10-09T17:54:18.947130Z", "iopub.status.idle": "2024-10-09T17:54:28.827368Z", "shell.execute_reply": "2024-10-09T17:54:28.826791Z", "shell.execute_reply.started": "2024-10-09T17:54:18.947596Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(718002, 52)\n", "Model Name Value Counts and Fractions:\n", "chirp-v3p5-engine-s-8: 528383 (73.59%)\n", "chirp-v3p5-engine-t-3: 47117 (6.56%)\n", "chirp-v3p5-engine-upload-4: 38980 (5.43%)\n", "chirp-v3p5-engine-s-29: 34378 (4.79%)\n", "chirp-v3p5-engine-t-4-25-b20: 26239 (3.65%)\n", "chirp-v3p5-engine-t-4-23-b40: 19540 (2.72%)\n", "chirp-v3p5-engine-t-4-25-b40: 8300 (1.16%)\n", "chirp-v3p5-engine-t-3_s_max_t_14_tag_3: 2468 (0.34%)\n", "chirp-v3p5-engine-t-3_s_max_t_13_tag_3: 2435 (0.34%)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 2430 (0.34%)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 2413 (0.34%)\n", "chirp-v3p5-engine-t-4-23-b80: 2187 (0.30%)\n", "chirp-v3p5-engine-t-5: 1344 (0.19%)\n", "chirp-v3p5-engine-ft-1: 668 (0.09%)\n", "chirp-v3p5-engine-t-3_tag_aug_v1: 575 (0.08%)\n", "chirp-v3p5-engine-b: 262 (0.04%)\n", "chirp-v3p5-engine-t-5_s_max_t_13_tag_3: 69 (0.01%)\n", "chirp-v3p5-engine-t-5_s_max_t_12_tag_3: 66 (0.01%)\n", "chirp-v3p5-engine-t-5_s_30_t_12_tag_3: 64 (0.01%)\n", "chirp-v3p5-engine-t-5_s_max_t_14_tag_3: 62 (0.01%)\n", "chirp-v3p5-engine-short: 20 (0.00%)\n", "chirp-v3p5-engine-t-4-25-b20_s_max_t_12_tag_3: 1 (0.00%)\n", "chirp-v3p5-engine-t-4-25-b40_s_max_t_12_tag_3: 1 (0.00%)\n" ] } ], "source": [ "user_intersting_clips_3p5 = user_intersting_clips[user_compare_mask].reset_index().copy()\n", "\n", "\n", "def modify_model_name(model_name, metadata):\n", " if model_name.startswith(\"chirp-v3p5-engine-t\") or model_name.startswith(\"chirp-v3p5-engine-s\"):\n", " if \"param_experiment\" in metadata:\n", " exp = metadata.get(\"param_experiment\", \"\")\n", " if exp:\n", " return f\"{model_name}_{exp}\"\n", " return model_name\n", "\n", "\n", "user_intersting_clips_3p5[\"model_name\"] = user_intersting_clips_3p5.apply(\n", " lambda row: modify_model_name(row[\"model_name\"], row[\"metadata\"]), axis=1\n", ")\n", "user_intersting_clips_3p5 = user_intersting_clips_3p5.sort_values(by=[\"request_id\", \"preference\"])\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": "2024-10-09T17:54:28.828267Z", "iopub.status.busy": "2024-10-09T17:54:28.828105Z", "iopub.status.idle": "2024-10-09T17:54:28.962696Z", "shell.execute_reply": "2024-10-09T17:54:28.962244Z", "shell.execute_reply.started": "2024-10-09T17:54:28.828252Z" } }, "outputs": [ { "data": { "text/plain": [ "Timestamp('2024-10-08 14:24:29.006603+0000', tz='UTC')" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "user_intersting_clips_3p5[user_intersting_clips_3p5[\"model_name\"] == \"chirp-v3p5-engine-t-4-25-b40\"]['created_at'].min()" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:02.009450Z", "start_time": "2024-05-26T00:25:01.523515Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:28.963494Z", "iopub.status.busy": "2024-10-09T17:54:28.963338Z", "iopub.status.idle": "2024-10-09T17:54:34.486807Z", "shell.execute_reply": "2024-10-09T17:54:34.486244Z", "shell.execute_reply.started": "2024-10-09T17:54:28.963480Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "len pos models: 359001\n", "differing counts: 65669\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, counts 131\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, counts 334\n", "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, counts 17189\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, counts 249976\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3, win ratio 0.526, counts 3797\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.516, counts 3859\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 0.544, counts 452\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.531, counts 5155\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-25-b40, win ratio 0.528, counts 1688\n", "chirp-v3p5-engine-short_win_over_chirp-v3p5-engine-short, win ratio 1.000, counts 10\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.532, counts 1284\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.551, counts 1340\n", "chirp-v3p5-engine-t-3_s_max_t_13_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.548, counts 1334\n", "chirp-v3p5-engine-t-3_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.527, counts 1300\n", "chirp-v3p5-engine-t-3_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-3_s_max_t_13_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_tag_aug_v1_win_over_chirp-v3p5-engine-t-3, win ratio 0.473, counts 272\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-s-8, win ratio 0.474, counts 3419\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 5701\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_3, win ratio 0.468, counts 1129\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_3, win ratio 0.449, counts 1090\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_13_tag_3, win ratio 0.452, counts 1100\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_14_tag_3, win ratio 0.473, counts 1167\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_tag_aug_v1, win ratio 0.527, counts 303\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.477, counts 1708\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 0.496, counts 671\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.460, counts 3694\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b40, win ratio 0.463, counts 2363\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b40_s_max_t_12_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5, win ratio 0.448, counts 47\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-s-8, win ratio 0.484, counts 3616\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.523, counts 1870\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 1.000, counts 5\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.493, counts 4176\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-25-b20_s_max_t_12_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-s-8, win ratio 0.456, counts 379\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-t-3, win ratio 0.504, counts 683\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-s-8, win ratio 0.469, counts 4557\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-3, win ratio 0.540, counts 4345\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.507, counts 4300\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 1.000, counts 6\n", "chirp-v3p5-engine-t-4-25-b40_win_over_chirp-v3p5-engine-s-8, win ratio 0.472, counts 1509\n", "chirp-v3p5-engine-t-4-25-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.537, counts 2740\n", "chirp-v3p5-engine-t-5_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.406, counts 26\n", "chirp-v3p5-engine-t-5_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.561, counts 37\n", "chirp-v3p5-engine-t-5_s_max_t_13_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.507, counts 35\n", "chirp-v3p5-engine-t-5_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.581, counts 36\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-3, win ratio 0.552, counts 58\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, counts 489\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_3, win ratio 0.594, counts 38\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_3, win ratio 0.439, counts 29\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_3, win ratio 0.493, counts 34\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 0.419, counts 26\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, counts 19490\n", "tournament players: ['chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_14_tag_3', 'chirp-v3p5-engine-t-3_tag_aug_v1', 'chirp-v3p5-engine-t-4-23-b40', 'chirp-v3p5-engine-t-4-23-b80', 'chirp-v3p5-engine-t-4-25-b20', 'chirp-v3p5-engine-t-4-25-b20_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-4-25-b40', 'chirp-v3p5-engine-t-4-25-b40_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_3']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 435.27it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-s-8: 1014.9, (1000, 1024)\n", "chirp-v3p5-engine-t-3: 983.5, (968, 991)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 1006.1, (986, 1019)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 1019.0, (999, 1035)\n", "chirp-v3p5-engine-t-3_s_max_t_13_tag_3: 1016.6, (997, 1032)\n", "chirp-v3p5-engine-t-3_s_max_t_14_tag_3: 1002.8, (983, 1017)\n", "chirp-v3p5-engine-t-3_tag_aug_v1: 960.1, (935, 994)\n", "chirp-v3p5-engine-t-4-23-b40: 1000.3, (985, 1009)\n", "chirp-v3p5-engine-t-4-23-b80: 985.6, (966, 1000)\n", "chirp-v3p5-engine-t-4-25-b20: 1003.1, (988, 1012)\n", "chirp-v3p5-engine-t-4-25-b20_s_max_t_12_tag_3: 998.9, (977, 1000)\n", "chirp-v3p5-engine-t-4-25-b40: 1004.0, (986, 1014)\n", "chirp-v3p5-engine-t-4-25-b40_s_max_t_12_tag_3: 998.8, (974, 1000)\n", "chirp-v3p5-engine-t-5: 999.2, (965, 1043)\n", "chirp-v3p5-engine-t-5_s_30_t_12_tag_3: 987.5, (844, 1006)\n", "chirp-v3p5-engine-t-5_s_max_t_12_tag_3: 1008.2, (975, 1136)\n", "chirp-v3p5-engine-t-5_s_max_t_13_tag_3: 1001.0, (930, 1087)\n", "chirp-v3p5-engine-t-5_s_max_t_14_tag_3: 1010.3, (984, 1149)\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": 58, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:02.332947Z", "start_time": "2024-05-26T00:25:02.010694Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:34.487708Z", "iopub.status.busy": "2024-10-09T17:54:34.487540Z", "iopub.status.idle": "2024-10-09T17:54:38.547380Z", "shell.execute_reply": "2024-10-09T17:54:38.546832Z", "shell.execute_reply.started": "2024-10-09T17:54:34.487694Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "first gen\n", "len pos models: 275732\n", "differing counts: 37418\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, counts 88\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, counts 299\n", "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, counts 15390\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, counts 222234\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3, win ratio 0.535, counts 3430\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.526, counts 3500\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 0.554, counts 415\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.538, counts 4643\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-25-b40, win ratio 0.533, counts 1529\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-s-8, win ratio 0.465, counts 2985\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_14_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.479, counts 857\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 0.516, counts 332\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.467, counts 1548\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b40, win ratio 0.466, counts 1109\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-s-8, win ratio 0.474, counts 3153\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.521, counts 931\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 1.000, counts 4\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.492, counts 1953\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-s-8, win ratio 0.446, counts 334\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-t-3, win ratio 0.484, counts 311\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-s-8, win ratio 0.462, counts 3992\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-3, win ratio 0.533, counts 1764\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.508, counts 2020\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 1.000, counts 4\n", "chirp-v3p5-engine-t-4-25-b40_win_over_chirp-v3p5-engine-s-8, win ratio 0.467, counts 1339\n", "chirp-v3p5-engine-t-4-25-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.534, counts 1269\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, counts 292\n", "tournament players: ['chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_14_tag_3', 'chirp-v3p5-engine-t-4-23-b40', 'chirp-v3p5-engine-t-4-23-b80', 'chirp-v3p5-engine-t-4-25-b20', 'chirp-v3p5-engine-t-4-25-b40']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 725.65it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-s-8: 1021.8, (1017, 1026)\n", "chirp-v3p5-engine-t-3: 989.2, (984, 994)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 1000.8, (1000, 1002)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 999.6, (999, 1000)\n", "chirp-v3p5-engine-t-3_s_max_t_14_tag_3: 999.6, (999, 1000)\n", "chirp-v3p5-engine-t-4-23-b40: 1001.2, (995, 1007)\n", "chirp-v3p5-engine-t-4-23-b80: 981.1, (967, 997)\n", "chirp-v3p5-engine-t-4-25-b20: 1001.8, (997, 1008)\n", "chirp-v3p5-engine-t-4-25-b40: 1005.0, (997, 1014)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"first gen\")\n", "first_gen_slice_df = user_intersting_clips_3p5[\n", " (user_intersting_clips_3p5[\"continued_parent\"].isna()) & (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": 59, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:02.574659Z", "start_time": "2024-05-26T00:25:02.334214Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:38.548582Z", "iopub.status.busy": "2024-10-09T17:54:38.548124Z", "iopub.status.idle": "2024-10-09T17:54:41.421284Z", "shell.execute_reply": "2024-10-09T17:54:41.420722Z", "shell.execute_reply.started": "2024-10-09T17:54:38.548566Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is continue\n", "len pos models: 53763\n", "differing counts: 4635\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, counts 24\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, counts 35\n", "chirp-v3p5-engine-s-29_win_over_chirp-v3p5-engine-s-29, win ratio 1.000, counts 1799\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, counts 27736\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3, win ratio 0.458, counts 367\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.437, counts 359\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 0.451, counts 37\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.475, counts 512\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-4-25-b40, win ratio 0.483, counts 159\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-s-8, win ratio 0.542, counts 434\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_13_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.514, counts 110\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 0.519, counts 40\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.505, counts 242\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b40, win ratio 0.446, counts 124\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-s-8, win ratio 0.563, counts 463\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.486, counts 104\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.505, counts 239\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-s-8, win ratio 0.549, counts 45\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-t-3, win ratio 0.481, counts 37\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-s-8, win ratio 0.525, counts 565\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-3, win ratio 0.495, counts 237\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.495, counts 234\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-4-25-b40_win_over_chirp-v3p5-engine-s-8, win ratio 0.517, counts 170\n", "chirp-v3p5-engine-t-4-25-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.554, counts 154\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, counts 40\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, counts 19490\n", "tournament players: ['chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-4-23-b40', 'chirp-v3p5-engine-t-4-23-b80', 'chirp-v3p5-engine-t-4-25-b20', 'chirp-v3p5-engine-t-4-25-b40']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 515.15it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-s-8: 1069.1, (622, 1971)\n", "chirp-v3p5-engine-t-3: 1094.5, (648, 1997)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 1574.4, (1000, 4788)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 436.0, (-3175, 1000)\n", "chirp-v3p5-engine-t-3_s_max_t_13_tag_3: 436.0, (-3176, 1000)\n", "chirp-v3p5-engine-t-4-23-b40: 1103.1, (662, 2010)\n", "chirp-v3p5-engine-t-4-23-b80: 1092.1, (644, 1982)\n", "chirp-v3p5-engine-t-4-25-b20: 1090.5, (639, 1995)\n", "chirp-v3p5-engine-t-4-25-b40: 1104.2, (661, 2021)\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 continue\",\n", ")" ] }, { "cell_type": "code", "execution_count": 60, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:54:41.422169Z", "iopub.status.busy": "2024-10-09T17:54:41.422010Z", "iopub.status.idle": "2024-10-09T17:54:41.443293Z", "shell.execute_reply": "2024-10-09T17:54:41.442828Z", "shell.execute_reply.started": "2024-10-09T17:54:41.422154Z" } }, "outputs": [], "source": [ "# user_intersting_clips_3p5[user_intersting_clips_3p5[\"model_name\"] == \"chirp-v3p5-engine-t-3_tag_aug_v0\"]\n", "# user_intersting_clips_3p5[user_intersting_clips_3p5[\"request_id\"].astype(str) == \"0db57bc1-2861-47e0-b3d6-046477eca458\"]" ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:54:41.444187Z", "iopub.status.busy": "2024-10-09T17:54:41.443913Z", "iopub.status.idle": "2024-10-09T17:54:44.563115Z", "shell.execute_reply": "2024-10-09T17:54:44.562562Z", "shell.execute_reply.started": "2024-10-09T17:54:41.444173Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is cover\n", "len pos models: 29429\n", "differing counts: 23566\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, counts 19\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.531, counts 1277\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.551, counts 1335\n", "chirp-v3p5-engine-t-3_s_max_t_13_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.549, counts 1332\n", "chirp-v3p5-engine-t-3_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.526, counts 1293\n", "chirp-v3p5-engine-t-3_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-3_s_max_t_13_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_tag_aug_v1_win_over_chirp-v3p5-engine-t-3, win ratio 0.473, counts 272\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 5686\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_3, win ratio 0.469, counts 1127\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_3, win ratio 0.449, counts 1086\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_13_tag_3, win ratio 0.451, counts 1094\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_14_tag_3, win ratio 0.474, counts 1163\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_tag_aug_v1, win ratio 0.527, counts 303\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.470, counts 741\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 0.472, counts 298\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.448, counts 1901\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b40, win ratio 0.462, counts 1128\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b40_s_max_t_12_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-5, win ratio 0.448, counts 47\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.530, counts 835\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.492, counts 1979\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-25-b20_s_max_t_12_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-t-3, win ratio 0.528, counts 334\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-3, win ratio 0.552, counts 2342\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.508, counts 2044\n", "chirp-v3p5-engine-t-4-25-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.538, counts 1313\n", "chirp-v3p5-engine-t-5_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.406, counts 26\n", "chirp-v3p5-engine-t-5_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.561, counts 37\n", "chirp-v3p5-engine-t-5_s_max_t_13_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.507, counts 35\n", "chirp-v3p5-engine-t-5_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-5, win ratio 0.581, counts 36\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-3, win ratio 0.552, counts 58\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5, win ratio 1.000, counts 157\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_30_t_12_tag_3, win ratio 0.594, counts 38\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_12_tag_3, win ratio 0.439, counts 29\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_13_tag_3, win ratio 0.493, counts 34\n", "chirp-v3p5-engine-t-5_win_over_chirp-v3p5-engine-t-5_s_max_t_14_tag_3, win ratio 0.419, counts 26\n", "tournament players: ['chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_14_tag_3', 'chirp-v3p5-engine-t-3_tag_aug_v1', 'chirp-v3p5-engine-t-4-23-b40', 'chirp-v3p5-engine-t-4-23-b80', 'chirp-v3p5-engine-t-4-25-b20', 'chirp-v3p5-engine-t-4-25-b20_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-4-25-b40', 'chirp-v3p5-engine-t-4-25-b40_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5', 'chirp-v3p5-engine-t-5_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-5_s_max_t_14_tag_3']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 472.85it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-t-3: 977.8, (951, 992)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 999.6, (972, 1019)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 1013.6, (982, 1032)\n", "chirp-v3p5-engine-t-3_s_max_t_13_tag_3: 1011.8, (984, 1032)\n", "chirp-v3p5-engine-t-3_s_max_t_14_tag_3: 996.4, (968, 1015)\n", "chirp-v3p5-engine-t-3_tag_aug_v1: 959.2, (924, 991)\n", "chirp-v3p5-engine-t-4-23-b40: 1004.3, (978, 1021)\n", "chirp-v3p5-engine-t-4-23-b80: 997.4, (966, 1026)\n", "chirp-v3p5-engine-t-4-25-b20: 1012.0, (984, 1028)\n", "chirp-v3p5-engine-t-4-25-b20_s_max_t_12_tag_3: 992.2, (962, 1000)\n", "chirp-v3p5-engine-t-4-25-b40: 1004.2, (975, 1025)\n", "chirp-v3p5-engine-t-4-25-b40_s_max_t_12_tag_3: 991.6, (944, 1000)\n", "chirp-v3p5-engine-t-5: 1003.2, (966, 1055)\n", "chirp-v3p5-engine-t-5_s_30_t_12_tag_3: 931.5, (849, 1026)\n", "chirp-v3p5-engine-t-5_s_max_t_12_tag_3: 1043.9, (961, 1147)\n", "chirp-v3p5-engine-t-5_s_max_t_13_tag_3: 1004.7, (920, 1108)\n", "chirp-v3p5-engine-t-5_s_max_t_14_tag_3: 1056.3, (977, 1154)\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": 62, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:54:44.563990Z", "iopub.status.busy": "2024-10-09T17:54:44.563826Z", "iopub.status.idle": "2024-10-09T17:54:46.912829Z", "shell.execute_reply": "2024-10-09T17:54:46.912340Z", "shell.execute_reply.started": "2024-10-09T17:54:44.563975Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is artist\n", "len pos models: 62\n", "differing counts: 47\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, counts 5\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.800, counts 4\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.714, counts 5\n", "chirp-v3p5-engine-t-3_s_max_t_13_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.286, counts 2\n", "chirp-v3p5-engine-t-3_s_max_t_14_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.700, counts 7\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 10\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_3, win ratio 0.200, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_3, win ratio 0.286, counts 2\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_13_tag_3, win ratio 0.714, counts 5\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_14_tag_3, win ratio 0.300, counts 3\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-23-b80, win ratio 0.500, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.600, counts 3\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-25-b40, win ratio 0.333, counts 2\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.800, counts 4\n", "chirp-v3p5-engine-t-4-23-b80_win_over_chirp-v3p5-engine-t-3, win ratio 0.500, counts 1\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-3, win ratio 0.400, counts 2\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.200, counts 1\n", "chirp-v3p5-engine-t-4-25-b40_win_over_chirp-v3p5-engine-t-3, win ratio 0.667, counts 4\n", "tournament players: ['chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_13_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_14_tag_3', 'chirp-v3p5-engine-t-4-23-b40', 'chirp-v3p5-engine-t-4-23-b80', 'chirp-v3p5-engine-t-4-25-b20', 'chirp-v3p5-engine-t-4-25-b40']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 560.71it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-t-3: 932.5, (179, 1376)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 1173.5, (539, 3067)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 1091.7, (338, 2819)\n", "chirp-v3p5-engine-t-3_s_max_t_13_tag_3: 773.4, (-1290, 1251)\n", "chirp-v3p5-engine-t-3_s_max_t_14_tag_3: 1079.5, (359, 2585)\n", "chirp-v3p5-engine-t-4-23-b40: 1102.2, (-624, 3104)\n", "chirp-v3p5-engine-t-4-23-b80: 932.4, (-1200, 2613)\n", "chirp-v3p5-engine-t-4-25-b20: 861.6, (-875, 2055)\n", "chirp-v3p5-engine-t-4-25-b40: 1053.0, (203, 2824)\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[(user_intersting_clips_3p5[\"task\"] == \"artist_consistency\")],\n", " \"is artist\",\n", ")" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:54:46.913680Z", "iopub.status.busy": "2024-10-09T17:54:46.913524Z", "iopub.status.idle": "2024-10-09T17:54:46.991148Z", "shell.execute_reply": "2024-10-09T17:54:46.990670Z", "shell.execute_reply.started": "2024-10-09T17:54:46.913666Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is infill\n", "len pos models: 5\n", "differing counts: 3\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-4-23-b40_win_over_chirp-v3p5-engine-t-4-25-b20, win ratio 0.500, counts 1\n", "chirp-v3p5-engine-t-4-25-b20_win_over_chirp-v3p5-engine-t-4-23-b40, win ratio 0.500, counts 1\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": "markdown", "metadata": {}, "source": [ "# Clean up SHIT\n", "\n", "to get the right play conts, we need the right df..." ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:08.095035Z", "start_time": "2024-05-26T00:25:07.782738Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:46.991914Z", "iopub.status.busy": "2024-10-09T17:54:46.991767Z", "iopub.status.idle": "2024-10-09T17:54:48.586296Z", "shell.execute_reply": "2024-10-09T17:54:48.585713Z", "shell.execute_reply.started": "2024-10-09T17:54:46.991899Z" } }, "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", "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": 65, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:08.361849Z", "start_time": "2024-05-26T00:25:08.199583Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:48.587212Z", "iopub.status.busy": "2024-10-09T17:54:48.587054Z", "iopub.status.idle": "2024-10-09T17:54:48.613345Z", "shell.execute_reply": "2024-10-09T17:54:48.612843Z", "shell.execute_reply.started": "2024-10-09T17:54:48.587195Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Positive proportion of data meeting criteria: 59.92%\n", "Negative proportion of data meeting criteria: 100.00%\n" ] } ], "source": [ "pos_too_much_data_mask = (\n", " (user_intersting_clips[\"preference\"])\n", " & (\n", " (user_intersting_clips[\"reaction_play_count\"] >= 2) # single play is super catchy\n", " | (user_intersting_clips[\"concat_play_counts\"] >= 2) # 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": 66, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:08.523643Z", "start_time": "2024-05-26T00:25:08.367348Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:48.618307Z", "iopub.status.busy": "2024-10-09T17:54:48.618002Z", "iopub.status.idle": "2024-10-09T17:54:51.460740Z", "shell.execute_reply": "2024-10-09T17:54:51.460145Z", "shell.execute_reply.started": "2024-10-09T17:54:48.618291Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model Name Value Counts for Preferred Clips:\n", "----------------------------------------------------------------------\n", "Model Count Fraction\n", "----------------------------------------------------------------------\n", "chirp-v3p5-engine-s-8 157,833 73.37%\n", "chirp-v3p5-engine-t-3 17,311 8.05%\n", "chirp-v3p5-engine-upload-4 11,489 5.34%\n", "chirp-v3p5-engine-s-29 10,817 5.03%\n", "chirp-v3p5-engine-t-4-25-b20 7,914 3.68%\n", "chirp-v3p5-engine-t-4-23-b40 5,812 2.70%\n", "chirp-v3p5-engine-t-4-25-b40 2,651 1.23%\n", "chirp-v3p5-engine-t-4-23-b80 684 0.32%\n", "chirp-v3p5-engine-t-5 366 0.17%\n", "chirp-v3p5-engine-ft-1 186 0.09%\n", "chirp-v3p5-engine-b 59 0.03%\n", "chirp-v3p5-engine-short 6 0.00%\n", "----------------------------------------------------------------------\n", "Total 215,128 100.00%\n" ] } ], "source": [ "final_good_enough_requests = set(\n", " user_intersting_clips[pos_too_much_data_mask][\"request_id\"].unique()\n", ").intersection(set(user_intersting_clips[neg_too_much_data_mask][\"request_id\"].unique()))\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": 67, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:09.198504Z", "start_time": "2024-05-26T00:25:08.885507Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:51.461580Z", "iopub.status.busy": "2024-10-09T17:54:51.461426Z", "iopub.status.idle": "2024-10-09T17:54:52.529779Z", "shell.execute_reply": "2024-10-09T17:54:52.529207Z", "shell.execute_reply.started": "2024-10-09T17:54:51.461565Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Validation passed!\n" ] } ], "source": [ "validate_preference_data(final_interesting_clips)" ] }, { "cell_type": "code", "execution_count": 68, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:54:52.530680Z", "iopub.status.busy": "2024-10-09T17:54:52.530512Z", "iopub.status.idle": "2024-10-09T17:54:52.659637Z", "shell.execute_reply": "2024-10-09T17:54:52.659094Z", "shell.execute_reply.started": "2024-10-09T17:54:52.530665Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of rows in final_interesting_clips for model chirp-v3p5-engine-t-3:\n", "35,416\n", "done (430256, 57)\n" ] } ], "source": [ "# Get the number of rows for final_interesting_clips with the specific model\n", "row_count = final_interesting_clips[final_interesting_clips[\"model_name\"] == target_model_name].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": 69, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:10.265241Z", "start_time": "2024-05-26T00:25:09.934743Z" }, "execution": { "iopub.execute_input": "2024-10-09T17:54:52.660467Z", "iopub.status.busy": "2024-10-09T17:54:52.660313Z", "iopub.status.idle": "2024-10-09T17:54:52.916539Z", "shell.execute_reply": "2024-10-09T17:54:52.916040Z", "shell.execute_reply.started": "2024-10-09T17:54:52.660451Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total Unique Users:\n", "--------------------\n", "554,857\n", "--------------------\n", "Series([], Name: count, dtype: int64)\n", "(0, 47)\n" ] }, { "data": { "text/html": [ "
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idpasswordlast_loginis_superuserusernamefirst_namelast_nameemailis_staffis_activedate_joined
08pbkdf2_sha256$390000$Pj04K3OODhsKlkcmmVFNeI$1B...NoneFalsetongbaojia@gmail.comtongbaojia@gmail.comFalseTrue2023-04-29 15:44:31+00:00
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" ], "text/plain": [ " id password last_login is_superuser username first_name last_name email is_staff is_active date_joined\n", "0 8 pbkdf2_sha256$390000$Pj04K3OODhsKlkcmmVFNeI$1B... None False tongbaojia@gmail.com tongbaojia@gmail.com False True 2023-04-29 15:44:31+00:00" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Calculate the number of unique users\n", "total_unique_users = clip_df[\"user_id\"].nunique()\n", "\n", "# Print the result in a nicely formatted way\n", "print(\"Total Unique Users:\")\n", "print(\"-\" * 20)\n", "print(f\"{total_unique_users:,}\")\n", "print(\"-\" * 20)\n", "\n", "# This can take a while cause we have a lot of users...\n", "# query = \"\"\"\n", "# SELECT *\n", "# FROM auth_user\n", "# \"\"\"\n", "# user_df = pd.read_sql_query(query, engine)\n", "# user_df.head()\n", "\n", "test_user_id = 8\n", "print(\n", " clip_df[clip_df[\"user_id\"] == test_user_id][\"created_at\"].apply(lambda x: str(x)[:10]).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=8\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": 70, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:54:52.917382Z", "iopub.status.busy": "2024-10-09T17:54:52.917223Z", "iopub.status.idle": "2024-10-09T17:55:11.105440Z", "shell.execute_reply": "2024-10-09T17:55:11.104866Z", "shell.execute_reply.started": "2024-10-09T17:54:52.917367Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Shape of no_reaction_clip_df:\n", "(1992820, 47)\n", "\n", "Proportion of clips without reactions:\n", "28.22%\n", "Ratio of clips without reactions to total clips from the same users:\n", "0.8822\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "free 6619\n", "pro 2663\n", "Ratio of clips from super bad users: 2.07%\n", "DONE\n" ] } ], "source": [ "run_bot_detection(clip_df, reaction_df, write_to_file=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Alpha testing user selection" ] }, { "cell_type": "code", "execution_count": 71, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:55:11.106319Z", "iopub.status.busy": "2024-10-09T17:55:11.106159Z", "iopub.status.idle": "2024-10-09T17:55:11.128388Z", "shell.execute_reply": "2024-10-09T17:55:11.127928Z", "shell.execute_reply.started": "2024-10-09T17:55:11.106303Z" } }, "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": 72, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:55:11.129161Z", "iopub.status.busy": "2024-10-09T17:55:11.129016Z", "iopub.status.idle": "2024-10-09T17:56:19.119378Z", "shell.execute_reply": "2024-10-09T17:56:19.118881Z", "shell.execute_reply.started": "2024-10-09T17:55:11.129148Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(5571344, 25)\n" ] }, { "data": { "text/plain": [ "count 5.571344e+06\n", "mean 1.294769e+02\n", "std 6.255988e+02\n", "min 2.000000e+01\n", "25% 2.600000e+01\n", "50% 4.200000e+01\n", "75% 9.000000e+01\n", "max 4.673670e+05\n", "Name: total_clips, dtype: float64" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "query = \"\"\"\n", "SELECT *\n", "FROM bots_userstats\n", "WHERE total_clips>=20\n", "\"\"\"\n", "user_stats_df = pd.read_sql_query(query, engine)\n", "print(user_stats_df.shape)\n", "user_stats_df[\"total_clips\"].describe()" ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:19.120243Z", "iopub.status.busy": "2024-10-09T17:56:19.120088Z", "iopub.status.idle": "2024-10-09T17:56:19.817403Z", "shell.execute_reply": "2024-10-09T17:56:19.816841Z", "shell.execute_reply.started": "2024-10-09T17:56:19.120228Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1277249\n" ] } ], "source": [ "top_users = user_stats_df[user_stats_df[\"total_clips\"] >= 100][\"user_id\"].unique()\n", "print(len(top_users))" ] }, { "cell_type": "markdown", "metadata": { "execution": { "iopub.execute_input": "2024-06-21T19:35:17.755108Z", "iopub.status.busy": "2024-06-21T19:35:17.754937Z", "iopub.status.idle": "2024-06-21T19:35:17.774581Z", "shell.execute_reply": "2024-06-21T19:35:17.774106Z", "shell.execute_reply.started": "2024-06-21T19:35:17.755091Z" } }, "source": [ "# Snow flake access" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:19.818249Z", "iopub.status.busy": "2024-10-09T17:56:19.818091Z", "iopub.status.idle": "2024-10-09T17:56:19.839378Z", "shell.execute_reply": "2024-10-09T17:56:19.838918Z", "shell.execute_reply.started": "2024-10-09T17:56:19.818234Z" } }, "outputs": [], "source": [ "if not os.path.exists(snow_password_path):\n", " raise Exception(\"you are not authorized to access snowflake -- please setup\")" ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:19.840277Z", "iopub.status.busy": "2024-10-09T17:56:19.840002Z", "iopub.status.idle": "2024-10-09T17:56:21.110321Z", "shell.execute_reply": "2024-10-09T17:56:21.109658Z", "shell.execute_reply.started": "2024-10-09T17:56:19.840262Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "PROD\n" ] } ], "source": [ "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": 76, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:21.111314Z", "iopub.status.busy": "2024-10-09T17:56:21.111152Z", "iopub.status.idle": "2024-10-09T17:56:21.488060Z", "shell.execute_reply": "2024-10-09T17:56:21.487411Z", "shell.execute_reply.started": "2024-10-09T17:56:21.111298Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(35416, 57)\n", "(19572, 57)\n" ] } ], "source": [ "# select the df we want to squery for play counts\n", "subset_v4_clips_df_all = final_interesting_clips[\n", " final_interesting_clips[\"model_name\"] == target_model_name\n", "].copy()\n", "print(subset_v4_clips_df_all.shape)\n", "pair_request_mask = subset_v4_clips_df_all[\"request_id\"].isin(\n", " subset_v4_clips_df_all[\"request_id\"]\n", " .value_counts()\n", " .index[subset_v4_clips_df_all[\"request_id\"].value_counts() == 2]\n", ")\n", "subset_v4_clips_df = subset_v4_clips_df_all[pair_request_mask].copy()\n", "print(subset_v4_clips_df.shape)\n", "v4_clip_ids = list(str(s) for s in subset_v4_clips_df[\"id\"].unique())" ] }, { "cell_type": "code", "execution_count": 77, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:21.489065Z", "iopub.status.busy": "2024-10-09T17:56:21.488903Z", "iopub.status.idle": "2024-10-09T17:56:29.658792Z", "shell.execute_reply": "2024-10-09T17:56:29.658085Z", "shell.execute_reply.started": "2024-10-09T17:56:21.489049Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ " 0%| | 0/1 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Create a figure with two subplots\n", "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16, 6))\n", "\n", "# First subplot: Total play duration\n", "pos_play_time = subset_v4_clips_df_test[subset_v4_clips_df_test[\"preference\"]][\"total_play_time\"]\n", "neg_play_time = subset_v4_clips_df_test[~subset_v4_clips_df_test[\"preference\"]][\"total_play_time\"]\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\"]][\"norm_play_frac\"]\n", "\n", "pos_norm_play_frac.hist(\n", " bins=np.linspace(0, 10, 100),\n", " alpha=0.5,\n", " label=f\"pos (mean={pos_norm_play_frac.mean():.2f}, median={pos_norm_play_frac.median():.2f})\",\n", " ax=ax2,\n", ")\n", "neg_norm_play_frac.hist(\n", " bins=np.linspace(0, 10, 100),\n", " alpha=0.5,\n", " label=f\"neg (mean={neg_norm_play_frac.mean():.2f}, median={neg_norm_play_frac.median():.2f})\",\n", " ax=ax2,\n", ")\n", "ax2.legend()\n", "ax2.set_xlabel(\"Normalized play counts (play duration/duration)\")\n", "ax2.set_ylabel(\"Log counts\")\n", "ax2.set_yscale(\"log\")\n", "ax2.set_title(\"Normalized play duration comparison (Log scale)\")\n", "\n", "# Adjust layout and display the plot\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 81, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:30.614850Z", "iopub.status.busy": "2024-10-09T17:56:30.614684Z", "iopub.status.idle": "2024-10-09T17:56:30.720072Z", "shell.execute_reply": "2024-10-09T17:56:30.719476Z", "shell.execute_reply.started": "2024-10-09T17:56:30.614835Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fraction of clips that pass the play duration cut: 0.6014\n", "Number of unique requests passing play duration criteria: 7954\n", "Fraction of unique requests that pass play duration criteria: 0.8128\n" ] } ], "source": [ "play_duration_mask = (\n", " subset_v4_clips_df_test[\"preference\"]\n", " & (subset_v4_clips_df_test[\"norm_play_frac\"] >= 0.95)\n", " & (subset_v4_clips_df_test[\"total_play_time\"] >= 10)\n", " & (subset_v4_clips_df_test[\"user_id\"].isin(top_users))\n", ") | (\n", " (~subset_v4_clips_df_test[\"preference\"])\n", " & (subset_v4_clips_df_test[\"norm_play_frac\"] <= 3.1)\n", " & (subset_v4_clips_df_test[\"total_play_time\"] >= 10)\n", " & (subset_v4_clips_df_test[\"user_id\"].isin(top_users))\n", ")\n", "# Calculate the fraction of clips that pass the play duration cut\n", "frac_pass_play_duration = play_duration_mask.sum() / subset_v4_clips_df_test.shape[0]\n", "\n", "# Print the result with a formatted string\n", "print(f\"Fraction of clips that pass the play duration cut: {frac_pass_play_duration:.4f}\")\n", "\n", "# Get unique request IDs that pass the play duration criteria\n", "unique_requests_pass_play_durations = subset_v4_clips_df_test[play_duration_mask][\"request_id\"].unique()\n", "\n", "# Print the number of unique requests that pass the play duration criteria\n", "print(\n", " f\"Number of unique requests passing play duration criteria: {len(unique_requests_pass_play_durations)}\"\n", ")\n", "\n", "# Calculate the fraction of unique requests that pass play duration criteria\n", "fraction_requests_pass = (\n", " len(unique_requests_pass_play_durations) / subset_v4_clips_df_test[\"request_id\"].nunique()\n", ")\n", "\n", "# Print the result with a formatted string\n", "print(f\"Fraction of unique requests that pass play duration criteria: {fraction_requests_pass:.4f}\")" ] }, { "cell_type": "code", "execution_count": 82, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:30.720980Z", "iopub.status.busy": "2024-10-09T17:56:30.720826Z", "iopub.status.idle": "2024-10-09T17:56:30.791863Z", "shell.execute_reply": "2024-10-09T17:56:30.791314Z", "shell.execute_reply.started": "2024-10-09T17:56:30.720965Z" } }, "outputs": [], "source": [ "subset_v4_clips_df_pass_duration = subset_v4_clips_df_test[play_duration_mask].copy()\n", "play_duration_mask_request_mask = subset_v4_clips_df_pass_duration[\"request_id\"].isin(\n", " subset_v4_clips_df_pass_duration[\"request_id\"]\n", " .value_counts()\n", " .index[subset_v4_clips_df_pass_duration[\"request_id\"].value_counts() == 2]\n", ")\n", "final_subset_v4_clips_df = subset_v4_clips_df_pass_duration[play_duration_mask_request_mask].copy()" ] }, { "cell_type": "code", "execution_count": 83, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:30.792746Z", "iopub.status.busy": "2024-10-09T17:56:30.792593Z", "iopub.status.idle": "2024-10-09T17:56:30.823745Z", "shell.execute_reply": "2024-10-09T17:56:30.823183Z", "shell.execute_reply.started": "2024-10-09T17:56:30.792732Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of unique request IDs: 3,816, Total 9786\n" ] } ], "source": [ "# Count and print the number of unique request IDs\n", "unique_request_count = final_subset_v4_clips_df[\"request_id\"].nunique()\n", "print(\n", " f\"Number of unique request IDs: {unique_request_count:,}, Total {subset_v4_clips_df_test['request_id'].nunique()}\"\n", ")" ] }, { "cell_type": "code", "execution_count": 84, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:30.824813Z", "iopub.status.busy": "2024-10-09T17:56:30.824430Z", "iopub.status.idle": "2024-10-09T17:56:30.883469Z", "shell.execute_reply": "2024-10-09T17:56:30.882960Z", "shell.execute_reply.started": "2024-10-09T17:56:30.824797Z" } }, "outputs": [ { "data": { "text/plain": [ "(task\n", " cover 19514\n", " artist_consistency 42\n", " 8\n", " infill 4\n", " extend 4\n", " Name: count, dtype: int64,\n", " task\n", " cover 7622\n", " artist_consistency 8\n", " infill 2\n", " Name: count, dtype: int64)" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subset_v4_clips_df_test[\"task\"].value_counts(), final_subset_v4_clips_df[\"task\"].value_counts()" ] }, { "cell_type": "code", "execution_count": 85, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:30.884280Z", "iopub.status.busy": "2024-10-09T17:56:30.884129Z", "iopub.status.idle": "2024-10-09T17:56:30.950693Z", "shell.execute_reply": "2024-10-09T17:56:30.950180Z", "shell.execute_reply.started": "2024-10-09T17:56:30.884267Z" } }, "outputs": [ { "data": { "text/plain": [ "Timestamp('2024-10-08 04:30:11.609740+0000', tz='UTC')" ] }, "execution_count": 85, "metadata": {}, "output_type": "execute_result" } ], "source": [ "final_subset_v4_clips_df['created_at'].min()" ] }, { "cell_type": "code", "execution_count": 86, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:30.951508Z", "iopub.status.busy": "2024-10-09T17:56:30.951363Z", "iopub.status.idle": "2024-10-09T17:56:31.003047Z", "shell.execute_reply": "2024-10-09T17:56:31.002500Z", "shell.execute_reply.started": "2024-10-09T17:56:30.951495Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(7632, 68)\n" ] } ], "source": [ "# final_subset_v4_clips_df.to_pickle(\n", "# \"/home/tony/Data/Preference/30b_v3/interesting_clips_v4_t_4_20240914_full.pkl\",\n", "# )\n", "print(final_subset_v4_clips_df.shape)" ] }, { "cell_type": "code", "execution_count": 87, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:31.003860Z", "iopub.status.busy": "2024-10-09T17:56:31.003710Z", "iopub.status.idle": "2024-10-09T17:56:31.043963Z", "shell.execute_reply": "2024-10-09T17:56:31.043450Z", "shell.execute_reply.started": "2024-10-09T17:56:31.003846Z" } }, "outputs": [], "source": [ "# subset_v4_clips_df_test[subset_v4_clips_df_test[\"task\"] == \"infill\"][\"id_x\"] #[\"total_play_time\"]" ] }, { "cell_type": "code", "execution_count": 88, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:31.044923Z", "iopub.status.busy": "2024-10-09T17:56:31.044609Z", "iopub.status.idle": "2024-10-09T17:56:31.374934Z", "shell.execute_reply": "2024-10-09T17:56:31.374425Z", "shell.execute_reply.started": "2024-10-09T17:56:31.044908Z" } }, "outputs": [ { "data": { "text/plain": [ "task\n", " 6091668\n", "extend 681335\n", "cover 286787\n", "artist_consistency 634\n", "infill 355\n", "video_to_song 138\n", "image_to_song 138\n", "infill_intro 8\n", "Name: count, dtype: int64" ] }, "execution_count": 88, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clip_df[\"task\"].value_counts()" ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:31.375732Z", "iopub.status.busy": "2024-10-09T17:56:31.375584Z", "iopub.status.idle": "2024-10-09T17:56:34.149164Z", "shell.execute_reply": "2024-10-09T17:56:34.148430Z", "shell.execute_reply.started": "2024-10-09T17:56:31.375718Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "12264 56964 0.2153\n" ] } ], "source": [ "n_created_cover = clip_df[clip_df[\"task\"] == \"cover\"][\"user_id\"].nunique()\n", "n_pro_created = clip_df[clip_df[\"is_pro_user\"]][\"user_id\"].nunique()\n", "print(n_created_cover, n_pro_created, round(n_created_cover / n_pro_created, 4))" ] }, { "cell_type": "code", "execution_count": 90, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:34.150250Z", "iopub.status.busy": "2024-10-09T17:56:34.150074Z", "iopub.status.idle": "2024-10-09T17:56:57.286386Z", "shell.execute_reply": "2024-10-09T17:56:57.285618Z", "shell.execute_reply.started": "2024-10-09T17:56:34.150234Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "clip 3629718 7061063\n", "user 253721 554857\n" ] } ], "source": [ "# with open(\"user_id_to_exp_dict.json\", \"w\") as fp:\n", "# json.dump(user_id_to_exp_dict, fp)\n", "with open(\"user_id_to_exp_dict.json\", \"r\") as fp:\n", " user_id_to_exp_dict = json.load(fp)\n", "clip_df[\"in_fe_exp\"] = clip_df[\"user_id\"].apply(lambda x: user_id_to_exp_dict.get(str(x), False))\n", "print(\"clip\", clip_df[\"in_fe_exp\"].sum(), clip_df.shape[0])\n", "print(\"user\", clip_df[clip_df[\"in_fe_exp\"]][\"user_id\"].nunique(), clip_df[\"user_id\"].nunique())\n", "\n", "create_exp_mask = (clip_df[\"in_fe_exp\"]) # & (clip_df[\"created_at\"] >= \"2024-09-25 00:00:00\")\n", "unique_users_in_exp = clip_df[create_exp_mask][\"user_id\"].unique()" ] }, { "cell_type": "code", "execution_count": 91, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:56:57.287501Z", "iopub.status.busy": "2024-10-09T17:56:57.287325Z", "iopub.status.idle": "2024-10-09T17:57:30.483707Z", "shell.execute_reply": "2024-10-09T17:57:30.482923Z", "shell.execute_reply.started": "2024-10-09T17:56:57.287485Z" } }, "outputs": [], "source": [ "request_counts = clip_df[(clip_df[\"model_name\"] == \"chirp-v3p5-engine-s-8\")][\"request_id\"].value_counts()\n", "unique_count_2_requests = request_counts[request_counts == 2].index\n", "unique_count_2_requests = set(list(unique_count_2_requests))\n", "same_model_mask = clip_df[\"request_id\"].isin(unique_count_2_requests)" ] }, { "cell_type": "code", "execution_count": 92, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:57:30.485339Z", "iopub.status.busy": "2024-10-09T17:57:30.484692Z", "iopub.status.idle": "2024-10-09T17:57:38.193745Z", "shell.execute_reply": "2024-10-09T17:57:38.193216Z", "shell.execute_reply.started": "2024-10-09T17:57:30.485320Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Overall update rate: 0.0451 ± 0.0001\n", "Overall update rate: 0.0388 ± 0.0001\n" ] }, { "data": { "image/png": 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7/oUQQogTkVBKCCGEaAO6deuG4zjs27evUaPo4uJiKioq6NatW/SytLQ0KioqGv18OBzm6NGj5zyOa665hv/5n/+hqKiI119/nYsvvrhJk+4TjX/16tUEg8EmB8979uyJbvNl+/btazQ1cN++fTiO06gqJD8/n+HDh7NkyRJuvvlm3nrrLaZOndoo5OrWrRsrV65sNPUQYPfu3Se874YyMzNJSkrCcZzTqsw5XRdffDHjx4/n/vvv5/rrrycxMZHt27ezd+9e7rnnHq655proth999FGTnz9RSNm9e3dWrlzJ6NGjzyp06dq1K127dmXdunUcOHAgOtVs7Nix/OEPf2Dp0qXYts24ceNOejvnEqLGS93UyLq/y4Z2795NRkZGoyqpWKkLjesWG3jvvfcIh8P861//ajRd88urF56KrutMmDCBCRMm8POf/5z777+fv/zlL6xevTqmf8tCCCHE2ZC6XSGEEKINmDx5MgCPP/54o8sfffTRRteDG9KsXbu20XYvvPDCCSulzsTVV1+Npmn8/ve/58CBA6fd4Pyiiy4iEolEl6mv4zhOdCW44001e/rppxt9/9RTT0Vvr6Hp06ezYcMGXn75ZcrKyppUb1100UXYtt3k9h577DE0TWt0e4mJiU1CPcMwuOKKK3jzzTfZvn17k3GeztS9E7nzzjspLy/nhRdeAIhOq2q4iptSiieeeKLJzyYkJAA0Ge+0adOwbZv/+7//a/IzlmU12f54xowZw6pVq9i4cWO0cmrQoEEkJSXx73//G7/fz5AhQ056G3Xjq6ysPOX9tRa5ubkMGjSIV155pdHztH37dj766KNG/2ux9MEHHwD1FXd1VUwN/w4qKyt5+eWXT/s2y8vLm1w2aNAgwA2qhRBCiHiTSikhhBCiDRg4cCDXXnstzz//PBUVFYwbN45NmzaxcOFCpk6d2qjJ+dy5c/n1r3/Nd77zHSZOnMgXX3zBihUroivGnYvMzEwuvPBCli5dSmpqanR1u1OZMmUKF1xwAX/4wx/YtGkTo0aNIhAI8N5777F+/Xq+//3vH3dK2cGDB/nGN77BhRdeyIYNG1i0aBFXX301AwcObLTdtGnTuOeee7jnnntIT09vUgEyZcoUzjvvPP7yl79QUFDAgAED+Oijj3j33Xf5yle+0qhX15AhQ1i5ciWPPvooubm55OXlMWLECH70ox+xevVq5s2bx9y5c+nbty/Hjh1jy5YtrFy5kjVr1pz5E4obKPbv35/HHnuMm266id69e9O9e3fuueceCgsLSU5O5s033zxukFQXCv3ud7/jggsuwDAMrrrqKsaPH8/111/PAw88wNatW5k0aRIej4e9e/eydOlSfvGLX3DllVeedFxjx47ltddeQ9O0aChlGAajRo1ixYoVjB8//pRTLgcNGoRhGDz44INUVlbi9Xo5//zzycrKOqvn6sv27t3Lq6++2uTy7OxsJk2adNa3+9Of/pSvfe1rXH/99cyZM4dgMMhTTz1FSkoK3/72t89lyIC7OmIoFALg2LFjvPfee6xZs4arrroqWglZ9zv7xje+wQ033EB1dTUvvvgiWVlZp131+M9//pO1a9cyefJkunXrRklJCc888wydO3c+ZVN+IYQQoiVIKCWEEEK0Eb/73e/Iy8tj4cKFvPPOO2RnZ3PXXXc1OUieN28eBw8e5KWXXuLDDz9kzJgxPProo9x2220xGcesWbN4//33mTZt2mn1gQK3+udf//oX//73v1m8eDFvvfUWpmnSv39//vd///eEFVd//etf+dvf/saf//xnTNPk5ptvbrJSHbgNr0eNGsX69euZO3duk8bhdfd/33338cYbb7BgwQK6devGT3/6U26//fZG295999386le/4q9//SvBYJBrr72WESNGkJ2dzYsvvsg///lP3n77bZ599lnS09Pp27cvP/7xj0/z2Tu+22+/nbvvvpvXXnuN2bNnc//99/O73/2OBx54AJ/Px2WXXcZNN93ErFmzGv3c5Zdfzi233MLixYtZtGgRSimuuuoqAP7rv/6LoUOH8txzz/GXv/wFwzDo1q0bM2fOZPTo0accU92Uvd69ezcKNMeOHcuKFSsarZp3Ijk5Ofz2t7/lgQce4Be/+AW2bfPEE0/ELJT66KOPjjutcfz48ecUSk2cOJGHHnqI++67j/vuuw/TNBk3bhw/+clPYrLS5JNPPhn92uPxkJ+fzw9+8APuuOOO6OW9e/fmvvvu469//Sv33HMP2dnZzJ8/n8zMTP7zP//ztO5nypQpFBQURCsIMzIyGD9+PN/5zncaNUkXQggh4kVTDWuChRBCCCFO4Z133uFb3/oWTz/99GkFE2fj73//O//4xz9YuXLlKZtyCyGEEEKItkl6SgkhhBDijLz44ovk5+fL9B8hhBBCCHFOZPqeEEIIIU7L4sWL2bZtGx988AG/+MUv2uTKakIIIYQQovWQUEoIIYQQp+WHP/whiYmJzJkzhxtvvDHewxFCCCGEEG2c9JQSQgghhBBCCCGEEC1OekoJIYQQQgghhBBCiBYnoZQQQgghhBBCCCGEaHESSgkhhBBCCCGEEEKIFiehlBBCCCGEEEIIIYRocbL63kmUlFQibeCFEEIIIYQQQgghTp+mQVZWyim3k1DqJJRCQikhhBBCCCGEEEKIZiDT94QQQgghhBBCCCFEi5NQSgghhBBCCCGEEEK0OAmlhBBCCCGEEEIIIUSLk55SQgghhBBCCCGEaJMcx8G2rXgPo8MxDBNdP/c6JwmlhBBCCCGEEEII0aYopaioKCUQqIr3UDqshIRkUlMz0TTtrG9DQikhhBBCCCGEEEK0KXWBVHJyBl6v75yCEXFmlFKEwyGqqsoASEvLOuvbklBKCCGEEEIIIYQQbYbj2NFAKjk5Nd7D6ZC8Xh8AVVVlpKRknPVUPml0LoQQQgghhBBCiDbDtm2gPhgR8VH3/J9LTy8JpYQQQgghhBBCCNHmyJS9+IrF8y+hlBBCCCGEEEIIIYRocRJKCSGEEEIIIYQQQogWJ6GUEEIIIYQQQgghhGhxEkoJIYQQQgghhBBCiBYnoZQQQgghhBBCCCFEC3AchyeffJS5c2cyZcokvvKV+bz//jsopfje9/6DH/7w2yilAKioOMa1107noYfuB2D9+rVccMFYPv54BV/5yg1MmTKRr3/9Nnbv3hnPh3ROzHgPQAghhBBCCCGEEOJcKAWRSMvep8cDZ7oA3ZNPPspbby3hxz/+OXl5+Xz22af8v//3K9LTM/jlL3/DrbfewIsvPse8efP53//9A9nZOdx2252NbuP//u9vfO97PyIzM5sHHvgnP/vZD3n22QWYZtuLeNreiIUQQgghhBBCCCFqKQXPPOOhoOAME6JzlJfnMH++ddrBVDgc5sknH+Wvf/0/hg4dDkC3bnls3LiBV19dwG9+83t+8pP/5He/+zWlpSWsWvURjzzydJOw6atf/Rrjxp0PwC9/+RuuvXY6y5a9z6WXXhbTx9cSJJQSQgghhBBCCCFEm6ZpCmjZUOpMHTx4gGAwyA9+8K1Gl0ciEfr1GwDAlClTWb78fZ566jF+/OO7yc/v3uR2hgwZHv06NTWN7t17sG/fnuYdfDORUEoIIYQQQgghhBBtlqbB/PlWq5++FwgEAPjjH/9KTk7ul27LA0AwGGTbtq0YhsGBAwdiNtbWSkIpIYQQQgghhBBCtGmaBl5vvEdxcr169cLr9VJYeIRRo8Ycd5t//OMv6LrOn/70N3784+8xceIFjBkzrtE2W7ZsonPnzgBUVFRw4MB+evTo1ezjbw4SSgkhhBBCCCFi5rPPdA4e1Jk61cLni/dohBCi9UhMTOKGG27m73+/F6UUw4ePpKqqik2bNpCUlExaWjqLFy/i/vsfZcCAgdx44638/ve/4bHHniU1NTV6O4899iBpaWlkZmby73//H2lp6Vx00cXxe2DnQEIpIYQQQgghRExUVcE775jYNvj9Bpdeasd7SEII0ap87WvfJD09gyeffJRDhwpITk6hf/+B3HLLbfz61//J7bd/nQEDBgJwxx13sWbNKv70pz/wX//1h+htfOMb3+Fvf/sTBw8eoG/f/txzz1+i0//aGk0ppeI9iNaquLgSeXaEEEIIIYQ4PcuWGaxebQDuVJpbbonQubPsUAshYisSCVNScpisrC54PK18zl4MrV+/lu9+9xssWfI+KSkp8R7OSX8PmgbZ2aceo95cgxNCCCGEEEJ0HMEgbNjgBlJZWQql4K23TBwnzgMTQgjRakkoJYQQQgghhDhnn31mEAq5gdT110fw++HIEY1PP5VDDiGEEMcn7xBCCCGEEEKIc2JZsG6de2gxfrxNcjJcdJEFwIoVJpWV8RydEEK0D6NHj2XFirWtYuperEgoJYQQQgghhDgnW7fqVFVppKQoBg925+uNGOHQtasiFIL33pP1lYQQQjQloZQQQgghhBDirCkFa9a4vaTGjLEx3C/RNLj8cgtdh23bdHbt0uI4SiGEEK2RhFJCCCGEEEKIs7Zzp05JiYbf71ZHNZSbqxgzxgbgnXdMwuF4jFAIIURrJaGUEEIIIYQQ4qw0rJIaOdLG52u6zaRJNqmpimPHND7+2GjhEQohhGjNJJQSQgghhBBCnJWCAo2CAg3ThNGj7eNu4/XC1Klu0/O1aw2KimQanxBCCJeEUkIIIYQQQoizsnq1W/k0ZIi74t6J9O2r6N/fwXHg7bdNlGqhAQohhGjVJJQSQgghhBBCnLGjRzV27dLRNBg37vhVUg1deqmF1+tWV23cKIchQgjR2r3xxmtceeXFzXof8m4ghBBCCCGEOGOffOJWSfXv75CZeertU1LgggvcaXzLlplUVzfn6IQQomOaM2cGL7zwTLyHcdoklBJCCCGEEEKckcpK+Pxz91Bi/PhTV0nVGT3aoVMnRTAI779vNtfwhBBCnIRt2ziOc+oNW4CEUkIIIYQQQogz8sknBo4D3bs7dOly+g2idB0uv9xC09xQa+9eaXouhOhYHMfh6acf5/rrr+GSSyYwe/ZVPP74wwDs2rWT7373G0yZMonp0y/lnnt+T01NTfRnf//73/Dzn/+IZ555klmzrmD69Ev585/vwbLcKtRvf/vrHDlymPvuu5cLLhjLBReMBeqn4a1YsYybb57LlCkTKSw8QkVFBf/v//2KK6+8hEsvncSPfvRdDhzY36LPh5yeEEIIIYQQQpy2QAA2bnSn7p1JlVSdLl0Uo0bZrF9v8M47JrfdFsGUoxIhxLlSClSkZe9T84B2ZuH6/ff/g9dee4XvfveHDB8+kuLiYvbv30sgEOCHP/w2Q4cO46GHHqesrIz/+Z/f8Ze//JFf/OI30Z9fv34tWVnZ3HffAxw8eIBf//rn9OvXn5kzr+W///t/ue22G5k581pmzLim0f0Gg0GefvpxfvazX5KWlkZGRia/+c1/cvDgAe65514SE5P417/+zk9+8j2eeupFzBZ6YZaX/3aspgY2bTLo29chK0uWOBFCCCGEEOfus88MwmHIyVH06nV2+5gXXGCzfbtOaanG6tUGkyadebglhBBRSuE/9CR68GCL3q3jzyfY9ebTDqZqaqp56aXn+MEPfsq0aVcD0K1bHiNGjGTRooWEw2F++cv/IiEhAYAf/vAn/OxnP+Sb3/wOmZlZAKSkpPKDH/wUwzDo0aMnEyZcwLp1a5g581pSU9PQdZ3ExESysrIb3bdlWfzwh3fTr19/AA4c2M+KFcv5178eZtiwEQD8+tf/j9mzr2L58g+YMmVqTJ6jU5Hpe+3Yxo0Gy5YZPPKIh6VLDSor4z0iIYQQQgjRllkWrF1b30vqDAsEovx+mDLFDaJWrTIoKZFpfEKIc9X6X0f27t1DOBxmzJhxTa7bt28Pffv2iwZSAMOGjcRxHPbv3xe9rFev3hiGEf0+KyubsrKyU963x+Ohb99+je7PMAwGDx4avSwtLZ3u3Xuwb9+eM35sZ0sqpdqx4cNtDh/W2LFDZ+NGg88/Nxgzxmb8eJsGf+dCCCGEEEKcli1bdGpqNFJTFQMHnluT3AEDHHr1ctizR+fttw2uv94665BLCNHBaZpbsdTKp+/5fP5zvssvT6vTNO20mpb7fD60VvgiK5VS7VhiIlx7rcWNN0bIy3OwLFi92uDBB72sXm0QaeH/VyGEEEII0XY5DqxZ456dHzvWpsGJ+rOiaXDZZRamCfv362zZIocmQohzoGmge1v24wxDnry8fHw+H+vWfdLkuh49erFz5w4CgUD0sk2bNqDrOt279zjt+zBND7Z96pCqR49e2LbN559vjl527Fg5+/fvo2fPXqd9f+dKXvk7gLw8xfz5FrNnR8jOdpfgXbbM4KGHPGzcqNNKVoIUQgghhBCt2I4dOmVlGn4/DB8emx3I9HSYONGdxvfBBwYNjsWEEKLd8fl83HTTV/i//7uPJUtep6DgIJs3b+L111/h8sun4fV6+f3vf83u3TtZv34tf/nL/3LFFdOj/aROR5cuXfjss/UcPVpEeXn5CbfLz+/OhRdO5p57fs9nn21gx47t/Nd//YqcnFwuvPDic3+wp0mm73UQmgZ9+yp6946wZYvORx8ZVFRoLF1q8skniosusunb15GSaSGEEEII0YRS9VVSo0fbeL2xu+1x42y2bNEpKdFYtszgyiul6bkQov267bY7MQyDhx9+gOLio2RlZXPNNdfh9/u5995/8Le//Yk77/wKfr+fyZOn8J3v/OCMbv+OO77B//7vf3P99dcQDodZsWLtCbf9+c9/zd/+9id+9rPvE4lEGDFiNP/7v39rsZX3ADSllCzLdgLFxZW012fHsuDTT3VWrjQJBt3LunVTXHSRRX5+O33QQgghRDuglDsd37Lg/PNtWnC/UXRg+/drPPecB9OEu+4Kk5QU29s/eFDjmWc8ALWtJ2R/VAhxYpFImJKSw2RldcHjiWFKLs7IyX4PmgbZ2SmnvA2ZvtdBmSaMG+fw9a+HmTDBxuOBggKNZ5/18NJLJkVFUjIlhBBCtEYff2ywfLnBxx8bPP20h5NU5gsRM6tXu1VSw4bZMQ+kwG03MXy4WyH11lsmthRLCSFEhyChVAfn98OFF9p87WthRo600XXYvVvn8cc9LF5scuxYvEcohBBCiDp1U/ABfD4oLNR44gkvu3bJySTRfIqKNPbs0dE0d6pdc7noIneF6OJijU8+Occu6kIIIdoECaUEAMnJcPnlNrffHmbgQAel3B3fhx7y8t57BjU18R6hEEII0bEdOOD2ggQYP97mq18N07Wru4DJyy97WL7ckMVLRLOo6yU1cKBDenrz3U9iIlxyiQXAypWGVAEKIUQHIKGUaCQzE2bOtLjllgjduzvYNqxda/Dgg14+/tggHI73CIUQQoiOp6wMXnnFg21D//4OkyfbpKbC/PkRxoxxK1dWrTJ48UWT6uo4D1a0K8eOwRdfuIcM48c3/5y6IUMcund3iETgnXfMdtvfVQghhEtCKXFcXboorr/eYu7cCJ06KUIhWLHC4MEHPXz6qS7z/IUQQogWEgi4lVCBgPv+fNVVVnS1XMOASy+1mTHDwuuFfft0nnjCQ0GBTOcTsbF2rVuB16OHQ6dOzZ8QaRpcdpmNYbgtJbZvl8MVIYRoz+RVXpyQpkGvXopbb40wY4ZFerqiulrj7bdNHnnEw9atupy9EkIIIZqRbcOrr5qUlmqkpiquvTaCx9N0u0GDHG6+OUJWlqKy0l24ZO1aeZ8W56amBjZudKfunXdey52RzMpS0ft7912DUKjF7loI0cYoJfPW4ykWz7+mlOyunEhxcaXszDVg2/DZZzoff2xQU+Oege3USXHRRRa9eskTJYQQQsSSUrBkicnmzTo+nztVLzf35O+3oZC7ctnWre55x4EDHa64wsLna4kRi/bm448NVqww6NTJPUmptWABnmXBY495KC3VGDPG5tJLpUxfCFFPKUVR0UF0XSc5OR3DMNFa8kWqg1NKYdsWlZXlKOWQm5vX5PnXNMjOTjnlbUkodRISSh1fOOyWcq9ZU99jqkcPt79F587yhAkhhBCxsGqVwfLlBroOs2dH6N379N5jlYL163Xef9/Ecdyqk5kzLXJy5D1anL5IBO6/30sgADNmWAwa1PLVCHv3arzwggdNg1tuich+phCiEcuKcOxYKZFIMN5D6bC8Xj+pqZmYZtMybgmlYkBCqZOrrnZ3mDdsMKI9pgYOdJgyxSI5Ob5jE0IIIdqyrVt1XnvNXWnvssssRo0680CgoEBj0SKTykoNjweuuMJi8GCZ5iBOz/r1Ou+8Y5Kerrjzzgh6nJp+vP66yeef63TqpLjllviNQwjROimlcBwbR5afbXG6rqPrxgkr1CSUigEJpU5PeTmsWGFGe0x17aq44YYIphnvkQkhhBBtT0GBxvPPe7AsGDvWZsqUs5+2VF3tHtTv2+ceyY8ebXPxxba8R4uTchx46CEP5eXaWYeisVJVBY884iUYhClTLMaOlQNPIYRoC043lGoV5xqefvpppkyZwrBhw5g7dy4bN2486fZLlizhyiuvZNiwYcyYMYNly5Y1uv7uu+9mwIABjT7uuOOO5nwIHVp6Olx9tcWtt0bw++HQIY333jPiPSwhhBCizSkvh4ULTSwL+vZ1uPjic+ujk5QEc+daTJjg3s769QbPPeehoiIGgxXt1rZtOuXlGgkJMHRofEOg5GSYPNkC3JOglZVxHY4QQogYi3so9cYbb/CHP/yBb33rWyxcuJCBAwdyxx13UFJSctzt169fz49+9CPmzJnDK6+8wqWXXsq3vvUttm/f3mi7Cy+8kBUrVkQ/7r333pZ4OB1ap06Kq692m2Bu2GCwaVPc/7yEEEKINiMYhJdf9lBTo9W+p1oxmaqk63DhhTbXXVd/8ujxx73s2SMNYUVTSsGaNe7JxTFj7OOu9tjShg936NZNEQ7Du+9KmZ8QQrQncU8NHn30UebNm8d1111H3759+e1vf4vf7+fll18+7vZPPPEEF154IXfeeSd9+vTh+9//PoMHD+app55qtJ3X6yUnJyf6kZaW1hIPp8Pr3VsxaZJ7Nvbtt02OHJEdXiGEEOJUbBtefdWkpEQjJUUxe3YErze299Gnj+LWW8N06qQIBOCllzx8/LEhrQpEI3v3ahQWun3IRo5sHSveaZrbW03XYft2nV27ZP9SCCHai7iGUuFwmC1btjBx4sToZbquM3HiRD799NPj/syGDRuYMGFCo8suuOACNmzY0OiyNWvWMGHCBK644gp+/etfU1ZWFvPxi+ObMMGmb18Hy3J3sGtq4j0iIYQQovVSCt5+22DfPh2vF2bPtkg5dQuGs5KeDjfdFGHECBulYMUKg5dflvdqUa+uSmrECJvExDgPpoHcXMXYsW5I9s47ZnQFaCGEEG1bXEOpsrIybNsmKyur0eVZWVkUFxcf92eKi4vJzs4+6fYXXngh99xzD4899hg/+clP+OSTT/ja176GbbeOsz3tnabB9OkWGRmKY8c0Xn/dXZJaCCGEEE2tWWOwcaOBpsGMGRE6dWre0iXThCuusJk2zcI0YfdunSee8HD4sFSfdHRHjmjs26ej6+7UvdZm4kSbtDR3//Ljj6V/qRBCtAdxn77XHK666iouvfRSBgwYwNSpU3nggQfYtGkTa9asiffQOgy/H2bNsvB4YO9enRUrZMdBCCGE+LLt23WWL3ffIy+5xKJPn5abSzdsmMNNN0XIyFBUVGg884yHDRt0mc7XgX3yifu3OHCgQ2vsfOH1wtSpbtPztWsNiookSBVCiLYurqFURkYGhmE0aWpeUlLSpBqqTnZ2dpMqqpNtD5Cfn09GRgb79u0790GL05abq7jiCnfHYdUqgx072mUGKoQQQpyVw4c1Fi82UQpGj7YZM6bly4o7dVLcckuEfv0cbBveestk8WKZGtURlZXBF1+4+2rjx7e+Kqk6ffoo+vd3cBy3f6mEqEII0bbFNSXwer0MGTKElStXRi9zHIeVK1cyatSo4/7MyJEjWbVqVaPLPv74Y0aOHHnC+zly5Ajl5eXk5OTEZNzi9A0e7ETn/7/xhklpaZwHdA42bND5y1+8PPWUhzVrdMrL4z0iIYQQbVVFBSxYYBKJQO/eDlOm2GhxKvrw++GaaywmT7bRdfj8c52nnvK06fdscebWrnWb3vfq5ZCb27qTnksvtfB6oaBAY+NGOekphBBtWdxfxb/61a/ywgsvsHDhQnbt2sVvfvMbAoEAs2fPBuCnP/0pf/7zn6Pb33rrrXz44Yc88sgj7Nq1i7///e9s3ryZm2++GYDq6mruueceNmzYwMGDB1m5ciX/8R//QY8ePbjwwgvj8hg7usmTbfLzHUIhWLjQ0ybPvq5dq/PWW+7Bw6FDGh98YPLvf3t54gkPq1YZSB99IYQQpysUcle+q67WyMlRzJjhrioWT5oG551nM29ehKQkRXGxxpNPetm2Le67iqIFVFfDpk3u1L3zzmu9VVJ1UlLgggvcavxly0yqquI8ICGEEGfNjPcApk+fTmlpKffddx9Hjx5l0KBBPPTQQ9HpeIcPH0ZvsKc2evRo/vSnP/HXv/6Ve++9l549e/LPf/6T/v37A2AYBtu3b+eVV16hsrKS3NxcJk2axPe+9z28sV5bWZwWw4AZMyyeeMJDSYnG0qUmM2ZYcTsjfKZWrTKi/T7GjrXJyFBs26Zz4IDOkSMaR4641+fmKgYMcOjf3yErq3WfYRRCCBEfjgOLFpkUF2skJSmuuy6CzxfvUdXr3l3xla9EeO01kwMHdF591WTsWJvJk20MaQ/Zbn36qYFlQZcuivz8trEPM3q0w5YtisJC92Th1Vdb8R6SEEKIs6ApJTOxT6S4uFLmqcdQQYHGs896cBy3meu4ca17ST6lYOVKI9qkfdIkm4kT66dXVFfDzp0627bp7N+vN1phMDu7PqDKzlZtJoATQgjRfJSCd94x+PRTA48H5s+P0Llz69zRsG1YvtyINr7Oy3OYOdMiOTnOAxMxFw7D/fd7CQbdRWoGDGjd+2cNHTmi8eSTHpSCefMi9OzZOv+fhBCiI9I0yM5OOfV2EkqdmIRSsbd+vc4775jourvz0L1763yClYIPPzRYtcrdGb/oIpvzzz9xOXtNDeza5QZU+/bp2A02zcpyG3L27+/2aJCASgghOqa1a3Xee89E09yD//79W//B//btOkuWmIRCbu+pMWNsRo+2SUiI98hErNT9XWZmKm6/PRL3qaRn6t13DdatM8jIcCsPMzPjPSIhhBAgoVRMSCgVe0q5Dc+3bNFJTHSnCKSc+u+0RSkF779vsHZt/RLdZ1LVFQy6FVTbt+vs3atjNagmz8hQ9OvnMGCAQ+fOElAJIURHsXOnxsKFbkXHxRdbjB/f+gOpOqWlsGiRh6Ii903L64WRI23GjrWlcqqNs2148EEPFRUaV1xhMWJE2/m7rBMKwcMPe6iq0tA0GDjQ4fzzbXJyZCdeCCHiSUKpGJBQqnlEIvD00+7ObdeuihtuiGDGvbuZSyn3jNv69W4gNXWqxejRZ7+DFgq5FVTbt+vs3t04oEpLqw+ounaVgEoIIdqrwkJ3+no4DCNG2Fx+efxW2jtbjuNWTa1aZUTDKdOE4cNtxo+3SU2N8wDFWdmyRWfxYpOkJMVdd7We/bEzVVyssWyZwa5d9WVe/fs7TJhg06mT7MwLIUQ8SCgVAxJKNZ/ycnjiCbd/wahRNpddFv+VXpSCN9802LjRQNPg8stje8YwHIbdu92AatcunUik/rqUlPopft26qTZXOi+EEOL4KivhySfdKo6ePR2uu85q0w3DlYLduzVWrjQ5dMgNp3QdhgxxOO88S6ZOtSFKwWOPeTh6VDtlm4K2orBQY9Uqg+3b9eg+fO/ebjjVrZvs1AshREuSUCoGJJRqXrt3a7z8sjuVYdo0i2HD4lcy7jiwZIk7rVDT3PEMHdp844lEYM8etwfV7t06oVD9dUlJ9QFVfr4EVEII0VaFw/DMM25lcFaW4qabIvj98R5VbCgF+/drrFxpsH+/+0YlU6falt27NV56yYPXC3fdFW5XfcKKi91wauvW+nCqe3c3nOreXarThRCiJUgoFQMSSjW/jz92V7czTbjppkhcSqxt2+1ztXWrjq7DVVdZDBrUcgGZZcHevRrbtrll58Fg/XWJiYopU2wGD257PR6EECJeSkthyRIPlZXuEvddujh06aLo3Fnh8bTMGBwHXnnFZOdOt4fiLbdESEtrmftuaQUFbgDQcOpUv35uONWly1m+r9sBUDaY0rSquTz3nMn+/Trjxtlccknbr5I6nrIyWL3aYPNmI7pKcrduigkTLHr1knBKCCGak4RSMSChVPNTChYsMNm1Syctzd1pT0xsufu3bXjtNZPt23UMA2bMiO9qSLYN+/a5AdWOHW5ApWlw9dUtG5QJIURbtX+/xiuveBoF/HV0HXJyFF27OrVhlSIzs3kOTN97z10wwzThhhsidO3a/ncoCgs1Vq822LatvjqlZ0+3OiU//wwev11NwsFHwQkRzPsqyiNzAmPt8GGNJ5/0YBjw9a+HW92iM7FWUQFr1rgtGur6e3bqpJgwwaZfP0fCKSGEaAYSSsWAhFItIxh0+22Ulbn9NubMsVpkypplwauvuoGYacKsWRH69Gk9v3DbhnfeMfjsMwNdd5cP79dPgikhhDiRTZt03nzTxHGga1fFpEkWRUU6hw9rHDqkUVXV9MjT74cuXdwFJ+oqqs51GtP69TrvvON2jJ4502LgwI712l1SUj91qq46JS/PrZw6ZXWKUviOvIBRswsAO6EnoS7zkdQgtl591WTbNp2hQx2mT7dO/QPtRFUVfPKJwYYNRrS3Z3a2G04NGOBIywQhhIghCaViQEKpllNUpPH00x4iEZgwwebCC5u3jDwSgYULTfbu1fF44JprIvTq1fp+2UrB4sUmn3/uVnJde22E3r1b3ziFECKelIJlywzWrHE7iA8a5HDllVajqXpKuU3HDx1yQ6rDhzWOHGm8KmqdzEy3iqprVzesys5Wp92cvGG/xPbSPPpslZe71SmbNhnYtU9D586K888/cXWKeewTvMVvg1a7DJyyCOXOwE4Z1mLjbu9KS+Hhh70oBbffHiE7u+PtV9TUwLp17mrLdX09MzMV553ntkxoy4sRCCFEayGhVAxIKNWyPv9c5/XX3Z3Qa69tvqqgcNidMrh/v47XC7NnR+jevfX+oh3HnWK4bZtb0TVnTuserxBCtKRw2O0LuH27W+IwcaLNpEn2aRXW2DYcPepWUR0+7IZVpaVNf9DjgU6dnNqgyg2rjjfdqahI45lnPITDMHSow7RplhT44FanrFnjVv7WVadkZbnh1KBB9dUpWqiIhILHQFmEsy8HJ4K39H2UkUgg/+tgtOD8/nbszTfd30Xfvg6zZ3ecKqnjCQZh/Xp3qm3dlN+0NDecGjrUwTTjOz4hhGjLJJSKAQmlWt677xqsW2fg88Ett4RjvrR0MAgvv+yhoEDD54PrrouQl9f6f8m27TbM3bXLDdLmzo3I0sZCiA6vqsp9TS8s1DAMuPJKiyFDzu2ERk0NHDmiNaio0o/bnyolRUX7UnXt6pCcrHj+eQ8VFRrduzvMnWtJtcWXHK86JT3dDQCGDAqRXPgoergYO7Evoc5zAQf/wUfRw0VYKcMI586I6/jbg6oq+Pe/vVgW3Hhj29gHagmhEGzYYPDJJzo1NW6SnJysGD/eZsQIp8UWSBBCiPZEQqkYkFCq5dk2PP+8ycGDOtnZiptvjuD1xua2AwF46SUPhw9r+P1usHPWqwLFgWXByy+b7Nun4/fD9dfHZ7VCIYRoDQoLNRYsMKms1EhIcKc3N8cBtlJQWlpXTeWGVcXFWrRX0pdlZSluvDFyzn2p2rNgsC4AMAgE3MtGd3qDcb0/IadrEuGed4CRBIAeLMBf8ASgCHaZj5PYK34DbweWLzdYtcqgWzfFTTdF4j2cVicSgY0bddasMaisdMOpxETF2LEOo0bZ+HxxHqAQQrQhEkrFgIRS8VFVBY8/7qG6WmPQIIerrz736Q81NfDii+7Z9IQEmDevbQY64TC89JIb2iUkuCs65eS0vcchhBDnYudOjddec/sQZmUprrsuQnp6y91/OOyGYnXVVHVN1BMT3QP9jIyWG0tbFg67AcCuT3fS3/ciAJ8HbqTPiJ6NAgDv0TcxK9ahPBkE8u4EXcpWzkYoBA884CUYbN42Ce2BZcGWLTqrVxuUl7s7oX4/jBljM3q0LaGzEEKcBgmlYkBCqfg5eFDjuec8OA5cconFuHFnv+NUVQUvvOChuNg9YJg3zyI3t+3+YkMh9/EcPqyRlKSYPz8S82mOQgjRGikFn3yis2yZiVLQs6fDzJkWfn+8R+Y2Ufd4aBVjaUs0qwLvvocpPhJk1e6JfHr4MsB9HseNsznvPBudEAkHHkSzKoikTySSdXF8B91GrVmj88EHJllZittvj0i/s9Ng27B1qxtOlZS4T5jPByNH2owda5OUFOcBCiFEKyahVAxIKBVf69bpvPuuia67lU1n09y7stINcEpKNJKTFddfb5GV1fZ/qYEAPP+8h6IijZQUN5hqySoBIYRoabYN77zjNmgGGDXK5tJLbVnCvS1TDr7Dz2IE9uH4OlPT5St8vtXTKADo2dNhxgyLZGc7viMvATqBvNtRvtz4jr2NsW349789VFZqTJtmMWyYVEmdCceB7dt1Vq40OHq0Ps3z+93+csnJiuTkhl8rUlIgKUmRlIQEgEKIDklCqRiQUCq+lILFi00+/1wnMVHxla9Ejrva0YlUVLjBTVmZRmqq4vrr29eUiupqeO45N3BLT3eDqTN5foQQoq0IBODVV91VUzXNraAdM8aRA702zixbibf0fdA8btDkzQLc9/8tW3TeftskEoHMTMW111p0jbyEUb0Nx9eNYLdb5Uj/DGzapLNkiUlysuLrX4/IqnJnSSnYtUtj5UqTw4dP7+9P14mGVm5Y5QZVXw6zYtVDVQghWgsJpWJAQqn4i0Tg6afdiqCuXd3g5XRWMyovdwOpY8fcwOb66yOkpTX7cFtcVRU8+6wbvGVmKm64IUJycrxHJYQQsVNWBgsWuAG81wszZkTo00fenNs6PXiotoG5QzhnOlbqyCbbFBZqLFxoUlHhrph7zVUlDDT+jeaECGdfgZU2psXH3RZVVrr7UhUVGpMnu1MixbkLBKCqSqOyEqqrtejXVVX1X9fUaKd9LOHzEa2yahhg1X2dkaGkl5UQok2RUCoGJJRqHcrK4Mkn3caco0bZXHbZyXemSkvdQKqy0g1q5s2LkJraQoONg2PH3GCqokIjO9sNphIT4z0qIYQ4dwcOaCxc6CEYhNRUxezZbbsnoKjlhEg4+AhapAwreRDh3GtOWPVUXQ2LFpkcOOBWyc2ctJpRuUtQho9g/tdQZjt+g4+Bqip3n6ikRCMjQ3HrrRFZQa4F2bb7N9wwqGr4dV2YFQqd+rYMA6ZMsRg1SqZeCiHaBgmlYkBCqdZj926Nl1/2oBRMn24xdOjx35CLizWef96kulojK8utkOoIlUNlZW4wVVWl0bmzG8RJs10hRFu2ebPOm2+a2DZ06aK49tqO8XreEXiLXses3IgyUwnk3QHGycs/GvYT03CYOfRRRvQ9gEodQKjzdS006rYnEHCn+R896rYxuPHG9n2Sri0LherCKqisdIOq6ur6rysq3OsBxo61ufhi6acnhGj9JJSKAQmlzoxmVWJWrMdKHdUsZy4/+sjgo48MTBNuuilCp06NfzlFRRovvGBSU6ORk+MGMx1pVZTiYo1nn/UQCEC3boq5cyPSn0AI0eYoBR9+aLBqlTtXe8AAh+nTLTyeOA9MxIRRuQVf0auARrDrTTgJ3U/r55SCDRvcBVAS9UIu6/kQgwZGUD3mYCf1b95Bt0HBoLvQy5Ej7kIv8+e3r76aHY1SsHq1wfLl7utinz4OV19tSdWbEKJVO91QSjJ2ERvKxnfkJTxlH+E9uqRZ7mLiRJs+fRwsy214GwjUX3fkiMZzz3moqdHo1MmtkOpIgRRAdnZ9hVRBgcaCBW6DWCGEaCsiEXeqVl0gNWGCzcyZEki1F1qkHG/xUgAiGZNOO5ACd8d21CiHuXMjWGYnNh2ZwGcbDQK73gLnNOY+dSDhMCxYYHLkiEZCAsybZ0kg1cZpGpx/vs2sWRamCbt26TzzjIeKiniPTAghzp2EUiImPKXL0EOHATBqdqEHDsT8PjTNnbqXnq4oL9d4/XUTx4FDhzReeMHtOdK1qxtIddSeSp06uRVSPh/s36/zyismlhXvUQkhxKlVVblTjbZt0zEM9/X+wgttWWCtvVAOvqJFaE4Ix59HJOOCs7qZHj0Ut94apsJ/AeWBTLZurObQ+uUxHmzbZVmwcKHJwYM6fj/MmxchO1vK/tuLAQMc5s+PkJSkOHpU48knPae9CqAQQrRWEkqJc6bX7MZTvgoAx9cZAE9Z8+wgJiTANde4Z8337NFZvNiMBlJ5ee4Z1I7eS6lLF8Xs2ZHoc/T6625PFiGEaK2KijSeeso9uHIrOyIn7B0o2iZP2Qr04EGU7iOUOwO0s98FTU+H+TdBIONKHAcKP/+UVe8dwengfzK27VaS79un4/XCnDlNWx2Itq9LF8Utt0TIyVFUV2vRMF8IIdoqeQUT58auxlf0OgBW6ihCna4DzcAI7EOv2dMsd5mbq7j8crf8Z+tWnXAYund3mDNH5tbXyc93mwKbJmzfrvPGG2aH31kXQrROu3ZptdNQ3AUqbr45TH6+HEi3J3pgP56yjwAIZ1+J8pz7XDKfDy6dlU9qj6GAIrJ3KQte1ggGz/mm2yTHgddfN9m1S8fjgdmzI3TtKv9H7VVqKtx4Y4TevR0iETeMXLXKkF64Qog2SUIpcfaUwlf0OppdhePNJpw1FeVJw0odBYC3dDnN9e44ZIjD2LFu+U+vXg7XXWdJU+8v6dlTMWtWBF13w7s33zRlZ0WIM1BVRYc9wG0JSsHatToLFniiJxduvFGaMbc7dgBf0SJAYaUMw04ZErOb1jToc8El9BvoJ81XiFO0hqee8lBS0rGmMykFS5aY0amvs2ZF6N5d3vDbO58PZs+2GDPG3R9evtxgyRKpjhdCtD2y+t5JyOp7J2eWr8Fb8g5oJoFut6F8ue4VVhWJ+/8FKkKo81zspH7Ncv9KQWmpRmamkp4jJ7Ftm86iRW4gNXq0zaWXSo8WIU5lzx6NBQvc7tq9ezsMGuTQp48jDbdjxLbh3XcNNmxwG5qPGGEzdaqNYcR5YCK2lMJb9Apm1VaUJ4NA3u2gx76k2ajchLX7dbZs9fJ+wV0oTyZXXx2hd+/2vxOnFLz9tvu/pOswa5ZFv35SGt3RfPqpuzKl40B+vsOsWVaH7a8qhGg9Tnf1PQmlTkJCqRPTQoUkFDwGyiacfTlW2thG13tK3sNTvgrH24lg3u1IChJfW7a4U/iUgvHjbSZPlmBKiBMpKtJ49lkPoS8t6OX1Qt++DoMH2/TooSRAOUvBoLvC3t69OpoGkydbjBvnyGtSO2RWfIb36GJAJ9jtVhx/1+a5I6XwHX4W59heVn/eh3d23Yymae3+b0speP99g7VrDTQNrrrKYvBgCaQ6qt27NV57zX3vyshQXHddhMzMeI9KCNGRSSgVAxJKnYATxn/wUfRICXZiP0Kd5zQNnewaEvb/C80JEeo0Gzt5YHzGKqI++8ydwgcwaZLNpElS3y3El1VVwZNPeqis1Oje3eGSS2y2bdPZulXn2LH617mEBBg40GbQIIdu3aRa83SVl8PLL7vTqzweuPpqqepor7RwCQkHHwEVIZx5CVbGhOa9v0gpCQceQtkW7++6huUbRwIweLDDlVdamGaz3n1crFhh8PHHbjo+bZrFsGHyv9TRHT2qsWCBybFjGn4/XHONTOUUQsSPhFIxIKHU8XmL3sCs3IAyUgjk3wHG8euDPaXL8ZStwPFmE8y785xW2hGxsXatznvvuXvmkyfbnHeeBFNC1AmF4NlnPRQVuQ23b7wxQkKCe51ScOiQxtatOl98oVNTU59CpaYqBg1yp/jl5EhAdTxKwf79GosWeQgEICVFMXu2JSuDtVfKxl/wOHroCHZCD0Jd5rfIPoCn7GM8pR+g9ERWln6Dd95PxXHc1cquvTZCcnKzD6HFrFplsHy5G0hNnWoxerQEUsJVVQWvvOLh0CENXYcrrpDAUggRHxJKxYCEUk0ZVVvxFS4ENIJd5+Mk9DzxxnawtloqQCh3BnbKsJYapjgJ2ZEVoinHgQULTHbv1klMVNx8c4T09BNvu2+fxtatBjt26I2m+WVn1wVU9gl/viNQyj1jf+CAxsGDOgcOaNEgr1MnxezZEVJOvY8i2qi6KfxKTyCYfwfKTG2ZO1Y2/oOPoIePYqUMZ0dgBq++6iEYhORkxbXXWnTp0vZ37Natc/sHgZxgEscXicDSpSZbt7phcGtu3WDbsGOHTnGxxujRtvTCEqIdkVAqBiSUakyLlOM/+AiaEySSPpFI1sWn/BmzbCXe0vdRnnQC+XeBJk1YWoMPPzRYudL9XVx5pcXw4RJMiY6rYaNgjwduuCFy2geukQjs3u1O79u1S2+06lHXropBg2wGDHDaVYXG8TiO24urPoTSm6xcaJowcKDD1KmyWmp7ptfsxn/4OQBCnedgJ/Vv2fsPFuAveAJQBLveSGmoJwsWeCgu1jBNuPxyi6FD2+573saNOkuXuoHUxIk2F1wggZQ4PqXgo4/qp3j27+9w1VVWq1mwo6wMPvvMYPPm+upj6YUlRPsioVQMSCjVgHLwH3oaPXgAx9eNYLebTy9gcsJutZRdTThnGlbqqOYfqzglaY4qRL01a3Q++MBE0+Caa86+x1Ew6J7t/fxznf379ej7h6ZBjx7u9L5+/Rz8/hgOPk5sGwoLNQ4ccKugCgr04zaG79rVoXt3RV6eQ+fOql329REN2NUkHHgYza7CSh1FOGdaXIbhPfomZsW62hX/7iQU8bB4scnOnW7VyLhxbtWI3sa6Cnz+uc7ixe6iJePG2Vx8ceusfBGty5YtbpBp29C5s1upGq8TJXVVUZ99prNvX/0/YHKyO/W9stLthTVrVoQePeQgTIi2TkKpGJBQqp6n9EM8ZR+idB/BvNtRnozT/lmzfA3ekndQZiqB/G+ALkclrcGXl5GeOdOif38JpkTHsm2bzquvuq9JU6ZYjB0bm/+BqipqG6QbHDpUf9RomtCnj8PAgQ59+jhtJqSxLDhypD6EOnRIJxxuvI3PB926OeTnK/LzHTp1khUKOxSl8B15EaNmp9tLsttXQY9TSYYTIuHAg2hWBZGMSUQyJ6OU2xi8rkq4Vy+HGTOsNhMSb9+us2iRiePAqFE2U6dKICVO38GDGgsXxq+nX3m5WxW1aVN9VZSmuf+HI0a474eBgNsLq6BAemEJ0V5IKBUDEkq59MB+/IeeBhSh3FnYKUPO7AYci4QD96NZFYSzpmKlj2+WcYozpxQsWWKyebOOYcC110bo3Vv+6EXHUFCg8fzzHiwLxoyxmTKleQ7yysrgiy8MPv9cp6Sk/g58PujXz+0/1aOHalVVG5GI29i9rh/UoUM6ltV4G78f8vMd8vLcaqicnNb1GETLMo+txVv8FmgmgW63oXy5cR2PUbUNX+HLgE4g/w6UNweAL77QWbLEJBKBrCy3AXprnyq0e7cbKNg2DB3qMG2aJYGUOGMNVz/1euHqqyP07dt8+3y2DTt3ulVRe/fWvzkkJSmGD3cYPtwmLa3xz1iWu1/aFnphCSFOTUKpGJBQCrADJBx8GM2qwEoZTjj36rO6GbPiU7xHl6CMJALdvwm6NBRpLRwHFi92dwBM0z1I1jS+9KEafa/rRHcQmm57/A8AXW96O716OR26IbSIj7IyeOopL4EA9O3rcM01VrMHKkq5fZfqVvCrqKjfy05MdBukd+6s8HjANN2pbh4PGAZ4PKrB1+7nWO6kh8NuSHfggM7BgxqHDzfuj1U3xroqqLw8JSsNiigtVERCwWOgLMLZl2GljYv3kADwHXkJo3o7jj+PYNdbov80hYUaCxeaVFS4U4Wuvrr1npDZv1/jpZfc8HzgQIerr27+1yrRfgWD8OqrJvv26WgaXHyxWyEcy9fy8nLYuNGtiqqurq+K6tmzvirqZFW0SsHHHxt89FF9L6zp06UXoRBtkYRSMdDhQyml8BUuwKjeVtuX4XbQfWd5WzYJBx5Ai5QTzrwEK2NCbMcqzoltw6JFJjt2tPyermHAiBE2559vt/tm0KJ1qKmBZ57xUFqq0bmz4oYbIi2+s6uUO51i61adbdsMAoEz+3lNc6cCusGVavA1GIYbYDUMtBpeXxd4mSaUlLjVUEeOaDhfmiWRnNw4hMrKkhBKHIcTwV/wGHr4KHZiH0Kd58U2MT0HmlWB/8CDaE6IcPYVWGljotdVVbnvewcPugfnkydbjBsX24Pzc1VQoPHiix7CYTc8nzXLkimx4pzZNrzzjsFnn7l/TCNH2lx6qX1Of1u2Dbt21VdF1R0/JSUphg1zq6LO9ARka+qFJYQ4OxJKxUBHD6XqqpvQDIJdb8Xxdzmn2zMqN+Ereg2lJ7jVUkYbaeTQQdi22wOnpsY9YHY/tOj/gFJuVVX9dU0/6rar+6jfXjvutpWVcPCgG4R5vTB2rM24cTa+s8w+hTgVy4IXXnAPRNPSFDfdFP+dXNuGffs0vvjCoKrKHWMkomFZdV+DbWtEIjQJjmIpLU2Rl6fo3t2dkpee3mqyBdGKRZuKG8kE8u8AIyneQ2qkblqh0n0E87+OMut3ji3LPTjfuNE9Gh8wwGHECJv8/Pj3QyssdKcXB4Nuhcns2Vab6UEnWj+lYO1ad5EPpdy/sZkzz7zH2rFj9VVRVVX1bxh1VVF9+568KupU4t0LSwhxbiSUioGOHEpp4WISDj4KKkI461Ks9PPO/UaVg//Ag+iREiIZFxLJvPDcb1O0efv2aSxfbnL4sLszk5AAEyZYjBzZdppAi7ZBKXj9dXeqqt8P8+dHyMlpWy/ytl0fVLmhldbkezfEci+LRLTo1/UhV33glZTk9oXKz3ea9PYQ4lSM6h34jrwIQLDL9TiJfeI8ouNQDv6CJ9FDBdhJAwl1nt34agXr1+u8/74ZDX39fndqeb9+Dr16OS1+ouToUY3nnnMPxPPzHa67TqYuieaxc6fG66+71XhZWYrrroucsqLJceqrovbsqa+KSkysr4rKOP31kE6ppXthCSFiR0KpGOiwoZRj1ZbiF2En9CLU5YaYnS43qrbiK1yI0n211VKJMbld0bYp5S4R/OGHRrQRdGqqYtIkmyFDHOmfIWJi+XKDVavc1SbnzInQs2dHfIEXIjY0qxL/wYfR7BoiaeOJZE+N95BOSAsVkXDwEcAh1HkOdlL/JtscOqSxcaPOzp31q4OBOwW2e3c3oOrb12n2ysrSUnj2WQ/V1RpduijmzYtI9bBoVoWFGgsWmFRWaiQkuIve5OU1fX+sqHCrojZubFwV1aOHWxXVr9+5VUWdTDDoTrfdu7f5emEJIWJPQqkY6KihlLf4Lcxja92m5Hl3gBnDPTCl8B98BD1cSCT9fCJZU2J326LNcxzYvFnno48MKivdPY3sbMVFF1n06SP9bMTZ27jR7U0BMG2aLDMtxDlRCt/hZzECe3G8nQh2+wrorbu01VPyPp7ylSgzlUD+107YI9Nx4PBhjR073ICqtLTxG0+XLioaUMW6z9qxY24gVVGhkZPj9rtLSIjd7QtxIlVVbjVSYaGGYbjvk4MHOziOu/rjZ58Z7N5dXxWVkADDhtkMH2632OqVtg3vvmuwYYObfI0YYTN16rn1whJCNC8JpWKgI4ZSDUvxQ53nYSf1bb770DwEun+jUX8HIcCdarR+vcHq1QbBoHtZXp7DRRfZxz17J8TJ7Nmj8fLLHhwHJk60ueAC+9Q/JIQ4IbN8Fd6S99z38bzbUd6seA/p1JwICQcfQouUYaWNJZx9+Wn9WElJfUB16FDjBCojQ9G3r1sh0rWrOqeq3spKN5AqL9fIynIDqaTW1Z5LtHPhsLsac92iN4MGORw8qEVPEoJbNVhXFRWPFgtf7oXVo4e7AMCZ9sISQrQMCaVioKOFUo1L8ccRyb6see5IKfwFT6CHCs5ox1B0PMEgrFljsG6dQSTiXtanj8OFF9rk5nagf05x1oqKNJ591kMoBEOGuMtKS8WdaBecMJpV6Z7Y0Vuu4ZAePIy/4HHAIZwzHSt1ZIvd97nSa/bgP/wsoBHs9hUcf9cz+vmqKreXzo4dOvv26dgN8u3EREWfPop+/Wx69HBXwDxd1dXw3HNuz5z0dMX8+RFS5HydiAOlYNkygzVr6suPEhJg6FCbESNarirqVL7cC2v27EhM+1gJIWJDQqkY6FChVAuX4kd3DDWDQP43UB7psCtOrKoKPv7YXSHJcdwXuMGDHSZNss54iWHRcVRVwZNPeqis1Oje3WHuXFlOXbQPRtXneI8uQXNCACjdhzKSUWaK+2Eko8xklJFa+9n9Hu0c/wGcsDsFP1LqNg3vdG2bW6LRW/QaZuUmHG8uwbyvnvVzEgrB3r1uQLV7tx6t6gXweNzVx/r2dejTxyHxJO0zAwF4/nkPRUUaKSmKG2+MyKIDIu62bHH/tvv3d+jfv3UuPHO6vbCEEPEjoVQMdKRQyixbibf0/ZYrxVcK3+FnMAL7sFJGEs6d3rz3J9qF0lJYscLkiy/c0nLDgJEjbc4/35ZpDqKRUMidClNU5E6FufFG6c0i2gEnjLf4bczKz9zvNQPU6U5H1VBGUoOQKgVlpKDMZJwGX6MnnDBo8hYtxqz8zO3LlHcHGG3wn8quJuHAg2h2DeGsKVjp55/7Tdpw4IAWraKqqKh//jTNnX5eN82v4YmUUAheeMHD4cMaSUluhVRrqUQRoi2oqoIFCzwcOeL2wrrySoshQ6RnpBCthYRSMdBRQik9eAh/wRO0dCm+HjiA/9CTgE6g+9dRHtkTE6fnyBGN5csN9u51wymvF8aNsxk71pZVigSOAwsWmOzerZOYqLj55lMvcS1Ea6eHjuAtfBU9UgJoRDImEcm4AFQEzapCsyvdz1YleoOv6y6H0zxQ08za4CoFp/azMlPQnDCesg8BjWDXG3ESejTjo21eRuVGfEWvuyfi8u9EeWI370cpd9pwXR+qoqLGAV9OjtuHqndvh+XLDQ4c0ElIgBtuiJCT0wF2OoWIsXAY3njDZPt2d59w4kSbSZPstlbEKUS7JKFUDHSIUMoJkXDwYbRIOVbyIMK517RoKb7v8PMYNbuwkocS7jSzxe5XtA9792p8+KHJ4cPu32xCAkyYYDFyZOssNRfNTyl4+213dR6Pxz3Q69Klvb+Qi3ZNKcxjn7jVzMpGmamEcmecWSikFDg16FZlbVBV1SS00uxKNLvmlDcVyZhEJHPyOTygVqBBtbad0ItQlxuabd/n2DGiAdXBgzrOl7JBnw+uvz5C587yOiXE2VIKli93F8gBt0n7lVdaZ9TbrTnV1MCxYxq5uUraCIgORUKpGOgIoZS3cBFm1WaUmVZbit+yy1e4DVMfBTT3bKU3p0XvX7R9SsH27ToffmhEl+5OS1NMmmQzeLBzTqshibZnzRp3VR5Ng1mzLPr3lzJ+0YbZ1fiKFmPU7HS/TepPKGc6GCdpUnQuHMsNrOzawCoaYLmflZlBOOeKc+9N1QpokVISDjwEyiKUOxM7ZWiz32cg4DZK37lTZ+9eHU2DOXMidOvWznc2hWghmzbpvPmmieNA166Ka66JkJzc8uOIRODgQY19+9xFEQoL3f3TpCTF0KEOw4a1nqbxQjQnCaVioL2HUkblJnxFr+GW4t+Mk5Afl3H4jryMUb3NbZraeXZcxiDaPsdxd0Y++sigqsp988/JUVx0kUXv3krKuDuAbdt0Xn3VLZGbMsVi7FgJpETbpdfswVf0OppdCZrp9j9KHdPmGou3Zp6yj/GUfoAyEgnkf735wr7jsCz3fcvbcgsnCtEh7N+v8corHoJB9yTl7NlWs0+NdRy38fq+fTp792ocOqRjWY238XrdqYZ1und3GDbMbSTfWiq6hIg1CaVioD2HUlqklISDj4ATJpJxEZHMC+I3lvBR92wlimDe7Ti+znEbi2j7IhFYt85dzrhuNaS8PIeLLrJlVZYYcRx3OsrmzTp+P/Tv79CzZ3x3qgoKNJ5/3oNlwZgxNlOmSD8J0UYpG0/pcjzlqwCF480mlHsNypcb75G1P8p2VxMMH8VKGUE496p4j0gIEQOlpfDyyx7KyjR8PpgxI0Lv3rHbB1QKysuJVkLt29d4BU6AlBRFjx6KHj0cevRwSEhwKyU3btTZs0ePHmP6/TB4sM2wYQ6dOsl+qmhfJJSKgXYbSikbf8GT6KFD2P7uhLreCFp85zjVTSO0E/sQ6nJ9XMci2odAANasMVi3zoieraprLuv3g8+nSEgAv1/h87k7BRJinJxluctEf/JJ/VTJOh4P9O7tri5V9xy3lLIyeOopL4GA+zu+5hpLpm2KNkmLlOErfBU9dAgAK3UU4aypoMtp9OaiBw/iL3gSULUN3HvGe0hCiBioqYFFi0z273enyl56qcXo0WdfQV1dDfv36+zb51ZEHTvWeD/I53Orn9wQSpGZeeIq/YoK2LzZYNOmxrfTubNi+HCbgQNbdj9KiOYioVQMtNdQylPyHp7yVSg9gWDe7ShPWryH5FZu7f834BDsdiuOPy/eQxLtRGUlfPyxwaZNRpMGsw1pGrXhlMLvb/rZ54OEBBUNtPz++u89nvYdaAWDsGGDwbp1OtXV7gP1+2HkSBvLcnt6NVwC3TDcHbP+/d1l0JOSmm9sNTXwzDMeSks1OndW3HBDRKbDiDbJqNyCt3gpmhNC6X7COdOxkwfGe1gdgvfoUsyK9ShPBsEu81Ge9HgPSQgRA7YNb75psnmze6ZqzBibSy6xT+vEVSQCBw7U94X68kqahgHdujnRaqjOndUZnxBTyl20Z9Mmgx07dGzbvdzjgQEDHIYPt+nWTVpQiLZLQqkYaI+hlF6zG//h5wAIdboOO3lAnEdUz1v0BmblBuyEHoS63hTv4Yh2prQUPv3UoKJCIxiEYLD+cyRybret6254lZDQONhKSFB06eIu/90Wg5LKSli71uCzz4xoH4TUVMXYsTbDh9c/prol0Ldv19m+XaekpH7vSdPc6ZP9+rkfaTHMwC0LXnjB5OBBndRUxc03x6ehqRDnxAnjLX4bs/Iz91t/PqHcGRKMtCQ7SMLBh9CsitpAcBp28qB4j0oIEQNKwerVBsuXuws09O7tMGOGhc/XeDvHgSNH6kIojYKC+pCoTk6OG0D17OmQl6dium9XXQ2ff66zcaPRaD8qK0sxbJjNkCHNe5JPiOYgoVQMtLtQyq4m4cDDaHaVOyUgZ1q8R9SIFjlGwoH7QdlSQi9alG270/2CQY1QyK0MCgTqvm4aYrmf3a+/vMNyPB6PO61s0CCbnj0Vptn8j+lcFBdrrFljsHVr/Q5ZdrZi/HibQYOcUy5nXFKisWOHG1AdOdL49F6nTor+/d2AKjv77F9glYLXXzfZulXH54Mbb4w0eyNTIWJNDx3BW/gKeqQU0IhkTCKScUHcp9R3RFqkvHbqZAEAVspIwtlTQW+DZxSEEE1s26bzxhsmkYi7T3PddRFsu74v1P79TftCpabW94Xq3t1pkRNfSsGhQxobNxp88YUePXGq69Cvn7tyX8+eZ16VJUQ8SCgVA+0qlFIK35EXMWp24nizCXb7aqvsUeE9+iZmxTocXzeC3W5t33OiRJunlFutc/wQCyorNXbt0ikrq/87dhuDu/0CundvXTsVBw+6YdTOnfWD6t7dYfx4m169zq58vKLCbYq+Y4fOgQN6o9fUrCxFv37uNL9Onc7s9j/80GDlSgNdd5dU79mzvbxYiw5BKcxjn+AtfR+UjTJTCeXOwEnoEe+RdWzKxlO2Ak/Zx4DC8WQR6nQNytcp3iMTQsTA4cMaCxaYVFdr6DpN2jr4/Q37QjlkZMT3UCQUgi++cKunDh+uH0hqqmLYMIehQ+2YVqALEWsSSsVAewqlzGOf4C1+GzSTQLfbWu0qPppVScL++0FFCHWei53UL95DEuKcKOWWg2/dqvPFFzpVVfU7FUlJioEDHQYOdOjaNT49A5SCXbs0Vq82KShwB6Bp7tm48eNtunaN3YtgdbW78sz27e5ZyYZVZqmpKjrFLy/v5GHdxo06S5e65WbTplkMG3b2jUuFaHF2Nb6i1zFqdrnfJvUnlDMdjMQ4D0zU0QN78RW+hmZXgmYQzpqClTpWTpQJ0Q5UVLgr8x09qkX7QvXs6VZDderUuk4WNlRUpLFpk86WLfWrS2sa9OzpMHy428PzVJXsQrQ0CaVioL2EUlqokISCx0DZhLMvx0obG+8hnVRdI3bH24lg3u2yEyjaDcdxq5G2btXZts1oVCaeluYGVIMGOeTkNH9AZdtu74I1a+p7FxgGDB1qM3asQ1ZW8774hUKwe7dbQbV7tx7tWQWQmOj24erf360mazjdcc8ejZdf9uA4MHGizQUXnMb8SSFaCb1mD76i19DsKtBMwlmXYqWOlve51siuwVe0GKNmh/ttYl9CuVeBIU1dhGjrIhE35MnJiW1fqJZQt8DMpk3uCb46CQkwZIjb8/Nc2iMIEUsSSsVAuwilnDD+g4+iR0qwE/sR6jyn9e/82jUk7P8XmhMi1Gm2rD4k2iW3j4HG55+70+UahjJZWYpBg9weVBkZsb3fUAg++0xn7VojWrXl87kr6Y0ZY8elUXgk4j4X27e7z0XDsM7nc5uS9uvnkJKieOklD6EQDB7scNVVVqt/ORMCcKeFlS7HU74KUDjebEK517TaqmVRSynMinV4S94DZaGMFEK5V+Mk9or3yIQQgvJy2LTJYNOmxpX43bophg+3GTCgbS60I9oPCaVioD2EUt6jSzArPkUZKQTy72gz0wM8pcvxlK1w+1/l3SlNX0W7Fom409q++MKtGrKs+us6d1YMGuT2oEo59Wv6CVVVwbp17kp6daFPcrJizBiHkSPtJqvQxIttu0sw79zpTvNruJNVp3t3hzlzrFbfMF4IAC1SVttA+xCAu9BI1tRW2ddRHJ8WKsJX9Ap6uBjQiKSfTyTzItBkrowQIv4cx60k37jRYNcuPdory+uFgQNthg2LX5sI0bFJKBUDbT2U0mt24T/8PKAR7Dq/ba1mZwdrq6UChHJnYKcMi/eIhGgRwaDbGPyLL9yy7LodC02D/Hy3/1T//g6Jp5kvl5bCJ58YbN5sRHs4ZWXVr6TXmoMdpdympNu3u9P8yso0srIUN94YISEh3qMT4tSMyi14i5eiOSGU7iecM12qf9sqJ4K35B3Mik/db31dCXWahfLEuJxVCCHOQVUVbN7sVk81XGgnK0sxdKjDkCHxqYoXHZOEUjHQ1kMps+JTvEeXEMm4wD2j18aYZSvxlr6P8qQTyL9LzkiKDqe62u0bsHWrzsGD9dWCuu42thw40J3Wdrwqp8OHNVavNtixo37Fu27d3DCqb1+nzZ0tU8otU09KQkrRRevnhPEWv41Z+Zn7rT+fUO4MlCc9vuMS58yo+gLv0TfQnCBK9xHOvhI7ZUi8h3VqTgjNDqDMtNbfxkEIcc6UcvuYbtpksG2bTiTiXq7r0KePw7Bh7srK0hxdNCcJpWKgrYdSKIVmV6LM1HiP5Ow4Ybdayq4mnDMNK3VUvEckRNxUVMDWrQZffKFTWFh/QGGa7s7FwIEOvXs7HDigsWaNwf799SFW377uSnp5eW35BU2ItkEPHcFb+Ap6pBTQiGRMIpJxgUxDb0e0yDF8RYvQgwcAsFKGE86+DPRWMg+6jlLogb2YlRsxq7e5fbE86dgJfbAT+2An9JBppEJ0AKEQbNums3GjwaFDjVeBHjLEYdiw5l/gRnRMEkrFQJsPpdoBs3wN3pJ3UGYqgfxvgN6K5xoJ0UJKSjS++MKd4le3ch64Z7/qpvvputsMfNw4m5wceSETotkphXnsE7yl74OyUWYqodwZOAk94j0y0RyUg6fsIzxlKwCF48kknDsLx98l3iNDi5RjVm7CrNyIZh1reA3Q4P1AM7ETergBVWJvlCezpYcqhGhhxcUamzbpbNmiU1PTtDl6//7Hr8AX4mxIKBUDEkq1Ao5FwoH70awKwtmXYaWNi/eIhGg1lHKXNN661Q2oKio0vF4YMcJm7Fj7nBqjCyFOgxNGDxZgBA9i1OxGDxUAYCf1J5Qzvc0sLiLOnh7Yj69oEZpVAZpBOPNirLTxLT9FzolgVG/HrPwMI7A3erHS/djJg7FSRuB4szAC+zBqdmLU7HLH3PAmPJm1AVUfHH93OREoRDtm27B7t86mTe4iOw2bow8Y4E7v69ZNmqOLcyOhVAxIKNU6mMfW4y1eijKSCHT/JujSUEaIL1PKraBKTlb4/fEejRDtlF2NETiIHjyAETyIHjoCOPXXaybhrEuxUkdL356OxA7gO/oGRvU299vE3oRyrgazmbsJK4UeOuIGUVWfoznB+iEl9MRKGYGd1P/4U/SUQosUY9Tscj8CB2j8t+zBTujZoIoqvXkfixAibuqao2/erFNaWv/elZnpNkcfOlSao4uzI6FUDEgo1Uoom4QDD6BFyglnXoKVMSHeIxJCiLbPDoBmSk+ZE1EKzSpDDx7ECBxADx6o7RP1pc3MVGx/Po4/Dzuxjxy8d1RKuQvMlLzj9m4ykgjlXo2T2Cf292VXY1ZuwazciB4uqh+CmYaVMhwrZdiZ/x06IYyavdGQSrMrG1/tzW5QRZUvi88I0Q4pBQUF9c3Rw2H3cl2H3r3d3lO9ezvSHF2cNgmlYkBCqdbDqNyEr+g1lJ7gVksZUgoihBBnS6/Zhf/IApTudVcPSx4Q7yHFn3LQQ4X1VVDBg2h2VZPNHG+OG0D5u+P481CetDgMVrRWWvgovsJX0MNHAYikn0ck8+JzD3GUg1GzG7NyI0bNDlB27R2aWEkDsFKG4yT0jE2FnlJo4SLM2oBKDx6kUS8q3Yud0Ku+iqqtLqgjhDihuubomzYZFBTUv64kJtY3R8/OlgNlcXISSsWAhFKtiHLwH3gQPVJCJONCIpkXxntEQgjRJhnV2/EVLqw/qAWs5CGEsy8HIyGOI2thThg9dKh+Ol6oAJxw4200A8fXFdufVxtE5XWs50icHSeCt+RdzIr17re+LoRyZ6K8WWd8U1q4xF09r3Jzo+olx9fFrYpKHtz8f5N2ACPQsIqqutHVjje3QRVVnqw0KUQ7U1yssXmz2xy9urpxc/Rhw2wGDJDm6OL4JJSKAQmlWhejaiu+woUo3VdbLSUNZIUQ4ky4r6OvAg520kAcTyae8pWAQhnJhHOmYSf1i/cwm4ddjREsQA/sP34/KNym0I6/G44/3w2ifF2l2bM4a0b1drxFi9GcAOheQtlXYCcPPXU1kxPGrNrqTs8LHoherIxErOQhWCkjUL7cZh79CdT2saoLqPTQIRpWUSndj53oVlE5vm7uY220M60af1Yq+rXW6LK6bY63/Qmu03w4vlyZWihEMzlRc3SPB/r3d+jRw6FLF0VmpjRIFy4JpWJAQqlWRin8Bx9BDxcSST+fSNaUeI9ICCHaDKNyM76i1wCFlTyUcO7VoOnowUN4i15Dj5QAYKUMJ5w1tc1Pk9asCvTA3mglVN3ja6hRPyh/PsqbLVUeIqY0qwJv0WsYgX1AbVVizpWgf6msQCn04EG3Kqp6a4OqPQ07sXdt0/J+rS9wsWswavbUNkvfjWbXxHc8mgfb3w0noYc7xdbXRYJlIZpBVRVs2eI2Ry8paZxA+XzQqZMbULkfjqwI3UFJKBUDEkq1Pkb1DnxHXgTNQ033bzb/yjZxpIWKaisYNJQnDWWm4ZipKNP9us3vZDlhNCeEMpJllSohmplZsQHv0SWAwkoZ6R4UNwxfHAtP2TI85WsAhTJTCeVMa54mzc3NqsJbtgKzYgNfroSq7wflBlHKTJPXH9H8lIOnfCWe0g8BB+VJJ5R7DY6/K5pViVG5GbPys0aN9B1PphtEpQxpOz2blIMeOlxfRRUpQVH3/9Xgs3acy5pcxwm3d2+z9rIG12l2ddNQTDPdkMrfHTuhu1u91db3n4RoRZSCQ4c0tm3TOXJEo7BQJxJpul1ysoqGVJ07O3TuLKtFdwQSSsWAhFKtkFL4C55ADxVgpY11e6C0Q3rNHnyFC9Cc0Am3UUayG1R50lANwirHUxdaeVtwxA04Fppd5X5YVWh2Ze3nKjSrsv7y2qWr7YSehDrNbvNVGUK0VuaxtXiL3wLASh1NOPuKEwYxeuAAvqOvo0XKarcfRThrStOqjtbIDuI5ttoN1pS7R+z4uroHorXT8aQflIgnPXAAX9GraFYFoGMn5GMEDhANT3UvVtIgt2m5P08C0zOlFFqkGCOwz+0TF9jfpP8Vmont64qT0D0aTssKpELEjuPA0aMaR45oHD6scfiwTnGxdtxj6qwsRefObiVVly6KnByFKZlxuyKhVAxIKNU66TV78B9+FjSDQP432t3KR+5Kg4sBB9vfHTuxD7pVjmZVoFnH0CPHogdcJ6OMxGhY5Zi1wZUnPfo1uv/MdniV3SBcOl7YVF0bRp156b7jzSbUeZ4spS5EjJnlq/GWvAvUrQI25TT62UTwlr6PeWwtQG3V1FU4ib2ae7hnx4lgVqzHU/ax27sHcHzdCGddjJPQI86DE+JL7CDe4iWYVVujFzn+/Nqm5QPbRgDcViiFFimtDan2YwQONGoWDzRYzCC/NsDOi99JPSHaqXAYiorckOrIEZ3DhzXKy5vuixgG5Oa6IVXnzm5glZUl/anaMgmlYkBCqVZKKXyHn8EI7HPP4udMi/eIYkMpPOUf4yldBoCVPJhwztVNy8yVAieAHjmGZrkfunUMLXIsGlzVVSGd9O50X211VWp9hZWRguaEjh882TU0WhL6ZDQTZSajjBQcM7m2qiul9rN7uTKT0SLl+I+8iGZVoIxkQp3n4vi7nOETJ4Q4Hk/ZR9HXk0jGJCIZF51REK0H9uE7uhgtUg7UVlllTWk9B2zKwazciKdsRW3liRtwRzIvxk7sJ1UmovVSCqPqc/RIKVby4LNalU+chbqQKnigdsGD/dHXjno6jq9LfYVlQr4EhUI0g+pqKCx0K6nqKqoCgabbSX+qtk1CqRiQUKr10gMH8B96EtAJdP86ypMZ7yGdG2XjPfomZuUGACLpE4hkXnz2B1V20G3yazUIrhqGVl8uZz9teqNQqS5s+nLwdCZVWJpVge/wC+jhItA8hDrNwk7qf5bjE0KgFJ7SZXjKPwYgkjmZSMaks7stJ4y35L3o0vbKk04o52qchO6xGu2ZUwqjehue0mXR5uXKTCWceVHtymbSqFwIcRqUQrPKMQL7a6f77UOzjn1pIw3H17k2pHKn/Em7ASFiTyk4doxoSFVY6FZVnag/VbduiokTbXJy5GC9NWtTodTTTz/Nww8/zNGjRxk4cCD/3//3/zF8+PATbr9kyRL+9re/UVBQQM+ePfnxj3/M5MmTj7vtr371K55//nl+/vOfc9ttt53RuCSUat18h5/HqNnlTi3JnRnfg6Rz4YTwFS7EqNkNaISzL8dKG9PM9xmpDajKG4dVViXovibBk2O6X6MnNk/1QZPnYCpW2rjY348Q7Z1SeErexXNsDQDhrEux0s8755vVa/a4VVNWBaARSRvrBuct3ItFD+zFW/JB7TL07jTlSPoErNQx0rxYCHHOtEh5tB+VEdwf7a/XYAscXyd3ul9SP5yEnvEYphAdguNAcXHT/lRObRs+vx/mzInQtascsLdWbSaUeuONN/jpT3/Kb3/7W0aMGMHjjz/O0qVLWbp0KVlZTcuZ169fz80338wPf/hDLrnkEl577TUeeughFixYQP/+jasr3n77bf7xj39QWlrKHXfcIaFUO6NFSvEffr52h0GrnZ5yQZs6S65ZlbVVQoW1VULXuEs+d0TKxlv8FmbFpwBE0sYRybq0Tf0+hYgrpfAWvxmtagpnXxHbgNsJ4S1+N1rR6XgyCede7fZgaWZ68DCe0g8wAntqL/ASSRtPJP08mVojhGg2mlVRO9XvAHpgX6MVEgHCOVdhpY6I0+iE6HgiEXfa37JlJgUFGl4vXHtthB495KC9NWozodTcuXMZNmwYv/rVrwBwHIfJkydzyy238PWvf73J9t///vcJBAI88MAD0cvmzZvHwIED+a//+q/oZYWFhcydO5eHH36Yu+66i1tvvVVCqfbICeEtfhuzcqP7rT+PUO7MNtEwWwsfdUM1qwJlJNX2U+oa72HFl1KYx1bjLXkPADupP6Hcma2nh40QrZVy8B5dgln5GaARzpnebAdKRvVOvEeX1DYM1twG6hkXNUulkhYuwVO2vL4ptGa4vQTTJ4KZHPP7E0KIk9GsSreSqnqb+7qkewnk3YHyZMR7aEJ0KOEwLFxosm+fjmnCjBkW/fo58R6W+JLTDaXiWoIQDofZsmULEydOjF6m6zoTJ07k008/Pe7PbNiwgQkTJjS67IILLmDDhg3R7x3H4Sc/+Ql33HEH/fp10KqTjkL3Ec69mlDuLJTuQw8exH/wEYwGq9q0RnpgH/6CJ9GsChxPJsFut0ogBaBpWOnnE+p0DWgmRvV2/IeeBqsq3iMTovVSDt6i12oDKZ1Q7oxmPXNvJ/UlkH8nVsowQOEpX4W/4BH04KGY3YdmVeA9uoSEAw/WBlIaVsowAvlfJ5x9uQRSQoi4UGYKdvJgwrmzsP3dwQnjK3oNlBwMC9GSvF647jqL/v0dLAtefdVkyxaZXdFWxfU3V1ZWhm3bTabpZWVlUVxcfNyfKS4uJjs7+6TbP/jgg5imya233hr7QYtWyU4ZQjDvdhxfNzQniK9wId6ixeCE4z20JozKLfgPP4fmBHH8eQS73Spn2L7ETh5MsMt8lJGIHjpMQsHjaOHjvyYI0aEpG1/hQsyqLYDuTgFOGdr892skEM6dQajzXJSRjB4uxl/whLvan2Od/e3aATwl75Ow//7aqbwOdmJfAnl3EM6dIa+VQojWQdMJ514dPSHqKV8Z7xEJ0eGYJsycaTFkiIPjwOLFJp9+KsFUW9TufmubN2/miSee4A9/+AOaLAfdoShPBsFuN9euMqVhVn6G/+Aj6KEj8R6aSynMspX4il4FZWMnDSTYZT4YifEeWavkJORHAzvNOoa/4An0wN54D0uI1sOx8B15GaN6G2gGoc7XYScPbNEh2En93Kqp5MGAg6fsI/wFj535664TwSxbScL+f7kHd8rC8ecT7HoLoS7zUL7cZhm/EEKcLeVJdys3AU/ph+jBw3EekRAdj67D9OkWY8bYALz9tsmqVUacRyXOVFxDqYyMDAzDoKSkpNHlJSUlTaqh6mRnZzepomq4/dq1aykpKeGSSy5h8ODBDB48mIKCAu655x6mTJnSPA9EtB6aQSRzMsGuN6LMVPRIKf6CxzHLVxPXBmHKwVu8FG/p+wBE0sYT6nRti69c1dYoTyaBbl/B8eejOUH8h57DqO0fJkSH5kTwHXkRo2YnaB6CnefGb5EEI5Fwp2sIdZrtVjeGi/AffAxP6Yeg7JP/rLIxj60nYf/9eEvfdytIvbmEOs8l2PVmnIT8lnkMQghxFuzkoVjJgwAHb9GrrbJCX4j2TtNgyhSbiRPdfY7lyw2WLTOkN3QbEtdQyuv1MmTIEFaurC95dRyHlStXMmrUqOP+zMiRI1m1alWjyz7++GNGjhwJwKxZs1i0aBGvvPJK9CM3N5c77riDhx56qNkei2hdnIQeBPLuwE4a4K7qVvIuvsPPxac3kRPGd+Sl2qkoGuHsy4hkT3VfQcWpGYkEu8yPVmL4il6vPdiVdxrRQTkhfIefd1ei070Eu8zDSewd71FhJw8kkP8193UXB0/Zh/gLHkcLFTXdWCmMqs9JOPBvvMVL0exKlJlGKHcmwbzb3YBNXiOFEK2dphHOvhJlpKBHSqMLtQghWpamwQUX2Fx8sdtCYPVqg7ffNnCk3VubEPulcs7QV7/6VX72s58xdOhQhg8fzuOPP04gEGD27NkA/PSnP6VTp0786Ec/AuDWW2/llltu4ZFHHmHy5Mm88cYbbN68ObryXkZGBhkZjXtOeDwesrOz6d07/jvtogUZCYQ6zcas+BRvybsYgT0kHHyYcM5V2El9W2YMVhX+Iy+ihw6DZhLKnYWdPKBl7rs90U3CubNQZhqe8pV4yj5Es8oJ50wHTUp0RQdiB/Effh49VIDSfYS6XI/jz4v3qOoZSYQ6zcao+hxv8VvooSMkFDxKJONCIunnAxp6YDfe0mXRKX7KSCKSMQkrdZT8Pwsh2h4jgVDu1fgPP4tZsR47sW/L7WcKIRoZP97B77d4802TDRsMQiGN6dMtDNm9aNXiHkpNnz6d0tJS7rvvPo4ePcqgQYN46KGHotPxDh8+jK7XF3SNHj2aP/3pT/z1r3/l3nvvpWfPnvzzn/+kf//+8XoIojXTNKy00dgJ3fEVvoIeLsJ35AUiaeOIZF7SLEuYR+86XOI2NLeOoYxEQp3n4vi7Ndv9tXuaRiTrEpQnHe/RNzErN6FZFYQ6zQYjId6jE6L52TX4Dz+HHjqC0hMIdbkBx98l3qNqStPcxScSuuM9uhSjZgee0g8wqrejdA9GYB8ASvdhpZ1HJH086N44D1oIIc6ek9iLSNo4PMc+wXv0DQL+O8BIivewhOiQhg938HotFi822bpVJxw2mTnTwiNdU1otTSmZA3MixcWVMkOoPXEsvKXvYR5b637r7USo0zUob9YpfvDM6YH9+I68jOYE3AbsXa5HeTJjfj8dlV6zC1/hK2hOCMeT5TZCllW5WoZSaJFSjMBe9GABypNJJG2U7Hw3N6vKDaTCRSgjiWCXG1C+TvEe1akphVG1GW/x22hO0L1MM4ikjiGSMVEWehBCtB9OxF3oIXwUO6k/oU7XyTRkIeJo926NV1/1EIlA9+4O115r4fPFe1Qdi6ZBdnbKqbeTUOrEJJRqn4zqHXiPLkaza0DzEM6+DCtlRMx2HIyqrfiKXnNXj/J1I9hljhywNwMtVIT/yAtoVgXKSKqtROsa72G1T3Y1Rs1ejMBejMAeNKui8fWaiZUyjEja+GYJeTs6zarAd+hZ9EgJykgh2HU+ynv8xUBaK82qwFPyAegeIukTUZ60eA9JCCFiTgsVklDwGCibcM50rNSR8R6SEB3agQMaCxZ4CIWgc2fFnDkREuV8WIuRUCoGJJRqvzSrEm/RaxiBvQDYSQMJ5Uw7t2lgSmEeW4O35N3a2+xPKHeWrLDXjDSrAt/hF9HDhaB5COXOlJ5dseCE0YMH3BCqZg96+EuNqjUD25+H489zrw8dil5lJ/Ylkj4ex99DzhDHgBYpx3/4WbRIGcpMJdhlvgR/QgjRipnlq9yG57qXQN7tUikvRJwVFmq88IKHQACyshTXXx8hOTneo+oYJJSKAQml2jmlMI+txlvyAeCgzFRCubPObgly5eAtfhuzYh0AVtpYwllTQYvrApcdgxPCV/gKRs0uQCOcdSlW2jgJRM6EctBDh90peYG9GMGDoOxGmzi+ztgJPbETeuL48+vDVqXQgwfwHFuDUb0DcF80HW8nIunjsZMHS/Pqs6RFSvEfesatBvSkE+xyI8qTHu9hCSGEOBnl4Dv8LEZgn1sx3+0W2R8UIs6KizVefNGkslIjPV0xb16E9PR4j6r9k1AqBiSU6hj04GF8Ra+gRcoAjUjGBUQyJp3+DoQTwVf0Kkb1doDaUGS8hCItSTl4i9/ErPgUkFDwlKJ9ofbUBlH76/v91G1ipmEn9MJO7Imd0OO0pqBq4RI8x9ZiVm4EFXFvx0ghkjbWncLQRhrSa+ESjJodtUEnKDMd5UnHqfvsSQc9sVn/x7VwiRtI2ZU4nkxCXW9EmanNdn9CCCFiR4uU4z/4MJoTIpJxEZHMC+I9JCE6vGPH4IUXPJSVaSQnK+bOtcjJkYP95iShVAxIKNWBOCG30qlyo/utP59Q7oxTVyXY1fgPv+hOX9JMQrkzsJMHNf94RVPRyrf3ALAT+xHqNEtW9apjVWEE9p2wL5TSE3ASerjVUIk9UWbG2YcudgBPxaeYx9ah2ZXuZZoHK2U4kfRxrW8qg3LQQ4cwqrdjVO9Aj5Sc+md0b31IVftZmek4ngyUmXZOK3tqoSJ3yp5djePNIdhlPphSZy6EEG2JUbkZX9EiQCfY7VbpeylEK1BV5QZTxcUafj/MnRuhSxc54G8uEkrFgIRSHY9RuQVv8VI0J4TS/YRzpp0wZNLCJfiPPI8WKXeXZ+885+ym/omYatxovguhznNQ5qlfDNsdJ4wR2O9OxwvsPXFfqIRe2Am9cHydYl9ZpmyMqs/xlK9ucP8adlJ/Imnjcfx58asodCJuQFe9A6NmB5pdXX+dZmD7u2Mn9UPpfvRIOZpVjhYpR7fKmzZ6Pw5lpn4prKoPsDCSTvi49dARfIeeRXMCON5OBLvOlxXqhBCiLVIKb9GrmFWf43gyCebdLifKhGgFAgF4+WUPhw5peL0we3aE7t3loL85SCgVAxJKdUxapAxf4SL0UAEAVsoIwtmXNdqR0IMH8R15Cc2ucXu9dL5emg+3Io1+P2YqwS7Xo7w58R5W81EOmlWJZh3DCB44875QzT4+hR7Y6/adqp0S546nK5H087CTBrTMVEu7BqNmJ2b1doyaPdEphgBK92Mn9sFO6oed0BsM/4lvx7HQrGPokbLGYVXtZ5zwycehedyQqi6sMtNQngwAvEWvoTlBHF9Xgl2ubzNTHoUQQhyHHSDh4MNoVgVW6ijCOdPiPSIhBBAOw4IFJvv365gmzJoVoU8fOfCPNQmlYkBCqQ5M2XjKVuAp+xhQOJ5Mwp2uwfF1xqjahq/o1dpKnK4EO8+RqTWtkBYpxXf4BfRIKUr3Eeo0GyexV7yHdebqAie7sjZ4qkCzKtCtBt/bVdQ1GG/0o9G+UL2wE7qfVl+o5qaFi/GUr8Gs2gzKAtxxRvtO6b4Y318JRs1OtyIqeICGz5MyU7ET+2El9cdJ6B6bhuxKgROIVlfpETes0qyy2ssqON7vqiHHn0+wy7yYPxdCCCFanl6zB//hZwEIdZ6LndQvziMSQgBYFrz2msmOHTq6DtOnWwwe7MR7WO2KhFIxIKGU0AP78BW95h5IagZW0iDMqi2Akp5FbYFdg//Iy+jBA4BOOGcaVuqIeI+qnnLQ7KraoOk4gVNtEHWqEAMAzUAZyTi+LrHpC9XcrCq371TFOjS7BgCl+7BSR2KljkV50s7udpWq7w9VswM9XNzoasfbCTupP3ZSPxxvp5Z/fpSNZh1zq6oaBle10wLthB6Ec66S1xUhhGhHPMXv4Dm2BmUkEci/s1WcJBJCgG3DkiUmn3+uo2lw2WUWI0dKMBUrEkrFgIRSAgA7gO/oGxjV26IXWamjCWdfLqu7tQWOhffo4towEZQnA6WZtVUxBko3AR1qL4tep+kNvm54nd7g5+qua7ht49vQ7EA0bKoLmvRIxZkFTugoM6W2T5H7WZkpKMP97JipJ+1T1Ko5EcyqzZjlaxo0GNexkgdipY0/vcawjuWuJFhbEeVWjtXRsRO6u0FUYt9TL14ghBBCxJpj4S94FD181D2p2XlO23zPFqIdUgreecfg00/divmLLrI5/3z7FD8lToeEUjEgoZSIUgqz4lPMY5+4lRxp42Vnoi1RCk/ZcjxlH8V7JMfx5cCpNnSqDZzc8Cm5/f+9KYVRswvz2GqMwL7oxba/O1b6eOzEvo1DYLvG3b56O0ZgT6M+Tkr3uf2hEvthJ/Y5eX8oIYQQogVooUISCh4DZRPOme5OWRdCtApKwYcfGqxa5QZT551nc9FFdrvf/W5uEkrFgIRSQrQvWqQMzaoCbDTHAhy3r5Gy0Wo/u1/btV9bjb/Hvazh9Zqqv43623Ev07BRuh9lptUHTkaK29g6+n2SVNx9iRYqxHNsDWblFsAtoVaeDCJp49wV/Wp2YgT207Q/VN/a/lA9YtMfSgghhIghs3wV3pL3QPcSyLsd5cmM95CEEA2sXm2wbJm7DzlqlM3UqRJMnQsJpWJAQikhhIgfzarAPLYOs+JTNCfY5Hq3P1Q/7MR+OL7O7b+aTAghRNumHHyHn8UI7MPxdSPY7RY5MSVEK/PZZzpvvWWiFAwe7DBtmoUh5zrPioRSMSChlBBCtAJOGLNyI2blJpTure0P1U/6QwkhhGhztMgx/AcfRnOCRDIuIpJ5QbyH1HHYAfRwEXq4CM2uwfbn4/i7g27Ge2Sildm6VWfxYhPHgb59HWbOtDDlz+SMSSgVAxJKCSGEEEIIIWLJqNyMr2gRoBPsduvpLeohTp+y0SKl6KGiaAilh4+6q2l/eVPdh5PQCyuprg9lYhwGLFqjXbs0Xn3Vg2VB9+4Os2dbeGVx5DMioVQMSCglhBBCCCGEiCml8Ba9iln1OY4nk2De7aDL0e5ZsaqioZMeLnKDqEhxbS/QppSZhuPNRRl+jJo9X1qxV8Px52El9sVO6ofyZElrgA5u/36NhQs9hEJw4YU2EybIqnxn4nRDKSlCE0IIIYQQQoiWommEs6/ACB5Ej5TiLXmXcM60eI8qSouUowcLQPeidB/KSADdh9ITQDPjE9Q4FnqkGK0ueKqrfrKrj7u50n0obw6ONwfHm1v7kdN4RV6l0EOH3QVUqneghwvRgwfwBg9A6fsoTzpWYj/spH44/nxZRKUD6t5dcd55NsuXG5SUSEDZXCSUEkIIIYQQQoiWZCQQyrkK/+FnMSs+xa6tzoknLVSIp3wVZtVW6la/bbqR4a4srPtB96OME3x9nOvQvKcOtJRCsyrqQ6fo9LvSE4xJw/FkoOqCJ58bPikz/dT3pWk4/q44/q5EMi9CixxzA6qaHRiBfWiRcjzHPsFz7BOU7sdO7O3+nhL7gJFw6idUtAvJye7UqZqaOA+kHZNQSgghhBBCCCFamJPYi0jaeDzH1uA9+gYB/51gJLXsIJRCD+7HU74So2Z3/dh8tX2unCCaE0Szg4Dj9muyq09YoXRyuhtO1VZdNazCAg0tXOw2IT/OirsASk+oDZ1ya0MotxIK3XMWYznO7XvSsNLGYKWNASeMUbOnNqTaiWZXY1Z9jln1OaBj+/NqVwDui/JmxeT+ReuUmOiGUtXVUinVXCSUEkIIIYQQQog4iGRejBHYix4uwlf0BqHOc1pmepxSGNXb8ZSvRA8dqr1Qw0oehJV+Po6vc5PtUWE3nHJCaE4AzQmh2YHGwdXxvnaCtT2eHDS7BuwaNMpOMjgdx5sVnXanvDk4vk4oI7nlpg7qXuzkAdjJA2qn+R3CqN6BUbMTPVyEEdyPEdwPJe/ieDKjAZU7zU9vmTGKFpFUmxNLpVTzkVBKCCGEEEIIIeJBNwnlziSh4FGMmh2YlRuwUkc13/05FmbVZszy1eiREvcyzcRKGU4k/TyUJ+P4P6dpoPlQug+AM1oLSilQFpoTcAMt2w20cAJodl1o5USDKOXJAr0VHaZqGo6/G46/G5Gsi9Ei5e4Uv+qdGMH96JFS9PLVeMpXo/QEd5pfUj/shN6Ne1iJNikpyf1rDwQ0lJLe982hFf23CyGEEEIIIUTHony5hDMvxlvyLt7id7D93WM/JcwJYVZ8iqf8EzS70r1f3Y+VNoZI2tjmnTaoaaB5ULXT7Nr64ubKk46VNg4rbRw4odppfjswanah2TWYVVswq7YAOnZCPnZiP+ykvihPZryHLs5CQm37MMdxq6WSWniGbUcgoZQQQgghhBBCxJGVNt7tXxTYh6/odYLdbonNNDCrCs+xTzArPo32alJmKpG0cVipI2v7OYmzpvuwkwdiJw8E5aAHC2oDqp3o4WKMwD6MwD4oeQfHk4mT0MutpEroAbo33qMXp8Ew3GAqEICaGi1aOSViR0IpIYQQQgghhIgnTSOcczX+gw+jhwrwlH1EJPPCs7+5SCme8tWYlZtAWQA4niys9POxUoaCZsRq5KKOpuMk5OMk5BPJmoIWKXWn+NXswAgccKf5RUoxK9aBZmD782sDqt4ob47MC2vFEhMVgYBGdTXk5MR7NO2PhFJCCCGEEEIIEWfKk0Y4+wp8Ra/iKfsIO7E3jr/bGd2GHjqCWb4Ss+oL6ibKOb5uRDImYCf2k+CjBSlPJlb6eKz08e40v8A+jJpdGDW70axjGIG9GIG9wHsoI8UNqBJ7YSf0AiMh3sMXDSQlKUpKNGpqNNr+BNTWR0IpIYQQQgghhGgF7JQhWDU7Mau24CtaRCDvjlNP81IKPbAXT/nK2pCj9rYS+xBJn1C7IpyEUXGl+7CT+mMn9Qel3CqqwG6Mmt0Ygf1odiVm5WeYlZ8BGo6vazSkcnxdZUW/OJMV+JqXhFJCCCGEEEII0UqEsy///9u78/io6nv/4+8zWyaZJIAJIooVRVlkC2iLhFCuoBW1oFVR7xUoW1WWtqgVt9+1grW4a8GNKwURsa1FwWrR627xstQqiCBKxQ0UMUEgk8kymZnv74/JTIgEySSTOZPk9Xw8fEBOzpz5TL7w6Ombz/dz5KzcIat6rzx7XlWw49n1n2gicgY+knvfOjmqdtUcdCiUfbKq258mk3FkympGAixLxpOnkCevZlh6SI7KHfGQyhEslqPqy5ptnKtrnujXVZHMaEhlXLl2f4I2Jysr2h0VCBDuNgdCKQAAAABIF85MVR35U3m/+pNcpRsUzjpRYd9Jtd+PhOTyb5J7/3pZ1Xujxyy3Qrn9Vd3uRzLu9raUjUZyuBTJOl6RrONVnTdCVqhUzvJP5aj4RM7yT2VFKuQq2yqVbZUkRTwd47OoIt5jJQf/l7651XZKEUo1B/4EAwAAAEAaiWR2VXX7H8m9b708xatUkTFZslxyl74r1/5/yQqXSZKMI1Ohdqequt0pkjPL5qqRDMaVq1Bufym3f/SJflVfRbf5lX8qR9VX0U6qYLHc+9ZLllvhzB/UDkx3H8FWzWZQ2yllcyGtFKEUAAAAAKSZ6g7DokFE8Bt5d/1JVqhUVqRKUjS4qG73I4VyCw4/cwotl+VQxNtFEW8XVR/xYylcHh2QXhNSWWF/zfD07ZIk426vcObxCmd2lXFk1MyickZ/tZwyiv4aDa6ix43llOSInxP9PcHWgXy+aChFp1TzIJQCAAAAgHTjcKnqyNHK/HKxHMFiSdGtW9XtT1M4++SaAAFtijNL4eyTo+tvjKxgcc0squ1yVu6UVb1PruoNcpVuaOIbOb4TWMWCLUdtsHVAkGUcGdGh+pk/SMKHTD9ZNU2IdEo1D0IpAAAAAEhDJuNIVR05Wq6yrQrl9FU460S6WBBlWTIZRyqUcaRC7U+TIkE5Kz6PDkuv2iWZsKSwZCKyTFiSiR4zEVk1xxU7fpBIzetCB7/tIcpxln+qYN5/KNRuUKv7MxrbvldebsmYVvfxbEcoBQAAAABpKpzdS+HsXnaXgXTn8CjsO6nuUPyGMDVhlSLxXy3zndAqHmxF6pxrmUjNUyA/lKtsizx7XpOzcqeqOv5UcnqT/hHtEht0Hg5LVVWSt/V8tLRAKAUAAAAAQFtkWZJVNxaor3eqvmMxYV93RbzHyrPnZTkD25QZXKSqThcoknFUUku1i8slZWREA6lAwJLX+30/DSTKYXcBAAAAAACghbIshdoNVOXR42Rc7WRV75P3y8flKt0Y7cRqBWqHndtcSCtEKAUAAAAAAJok4j1aFV0mRWefmZA8xavkKf67FKm2u7Qmi82VCgQYKJVshFIAAAAAAKDpnJmqOmqMqo/4D0mWXP5N8n65RFZwj92VNUlsrhSdUslHKAUAAAAAAJLDslTdoVCVR/+njNMnR/Abeb98TM6yD+2urNHolGo+hFIAAAAAACCpIpldVdlloiLeY2VFqpSx+xm5S16peYJfy5KVFf2VTqnkI5QCAAAAAABJZ1y5qjz6v1TdfpAkyb3/n/J+tUxWqNTmyhJTO+icTqlkI5QCAAAAAADNw3KqOm+EqjpdKOPIkKNyp7w7F8tR/qndlTVYrFOK7XvJRygFAAAAAACaVTi7R3Q7n6eTrHBA3l1/lnvv/0nG2F3aYdV2StlcSCtEKAUAAAAAAJqdcR+hymPGK5TTX5KR+9s3lfH1U1I4vdMeBp03H0IpAAAAAACQGg63gkeeq2DHcyXLJWf5dmXuXCRH5Vd2V3ZIPl/01+pqKRi0t5bWhlAKAAAAAACkVCi3vyqO+bmMu4OsUKm8Xy2Va/87abmdz+2O/idJgYC9tbQ2hFIAAAAAACDlTEYnVRwzUWFfD8mE5Sn5X3m++ZsUSa92JMuq3cLHE/iSi1AKAAAAAADYw+lVVacLFMwbIckhV9kWeb98TFawxO7K6oht4SOUSi5CKQAAAAAAYB/LUqj9IFUefZmMM0eOYIkyv3xMTv8WuyuLqx12bnMhrQyhFAAAAAAAsF0k81hVdJmocOZxUiSojG+elaf4RSkSsrs0+Xxs32sOhFIAAAAAACA9uLJV1fk/Vd1hSPTL0nfl/eoJWdX7bC0rKyv6K51SyUUoBQAAAAAA0oflUPURw1R11BgZR6YcVV/Ju3OxnIGPbSuJQefNg1AKAAAAAACknbDvJFV2mahIRmdZkQplfP2U3N++KZlIymupHXSe8rdu1QilAAAAAABAWjLu9qo8epxCuQMlSe69/6fMLx6Wa//bUiSYsjpqB53TKZVMhFIAAAAAACB9OVwKdhypqiPPk3H6ZIX2y1PysjK/eEjub1dL4eZvX6rtlCKUSiaX3QUAAAAAAAAcTjintyp83eXyvy/3/vWyqvfKvXe13PvWKZTTT9XtfyTj7tAs7x3rlKqslEIhyUWakhT8GAEAAAAAQMvgcCvUbqBCuQVyBj6Se986Oap2yVX6jlyl7yqU3Uuh9qcpknFUUt/W65WcTikcjs6Vys1N6uXbLEIpAAAAAADQslgOhbN7KezrKUfl53LvWydn+SdylX0gV9kHCmcer+r2pymS2VWymr7lzrKi3VJ+v6VAwFJurmn6ZwChFAAAAAAAaKEsS5HMrqrK7Cqrarfc+9bLVfaBnBWfylnxqSIZR6m6/WkK+3pKVtPGamdlSX4/T+BLJkIpAAAAAADQ4pmMTgp2Gq3qI34s1/635S7dKEfV18rYvVLG3V7V7X6kUE5/yeFu1PV9PiPJqhl2TqdUMjQqJgyFQlqzZo3+/Oc/q6ysTJK0e/duBQKBpBYHAAAAAACQCONur+r8M1V+3HRVd/ixjDNLVvU+eUpeUuYXDzb6iX1ZWdFfAwGewJcsCXdKffnll5oyZYp27dqlYDCoIUOGKDs7W48++qiCwaDmzJnTHHUCAAAAAAA0nDNL1UcUqbr9ILn8m2qe2Lev9ol9uf1V3e5HMu72DbpctFOK7XvJlHCn1G233aY+ffron//8pzIyMuLHzzzzTK1bty6pxQEAAAAAADSJw61Qu1NUceyVqur0s+iT+Uy1XPv/pcwvHpFn97NyVH192MtkZUVDKTqlkifhTql33nlHf/rTn+TxeOocP+aYY7R79+6kFQYAAAAAAJA0Bz6xr+Kz6BP7Kj6Vq2yLXGVbDvvEPp8v+iuTi5In4VAqEokoEokcdPzrr7+WL7ZCAAAAAAAA6ciyFMk6XlVZx9c8sW+dXGVbD/vEPjqlki/h7XtDhgzRkiVL6hwLBAKaP3++hg0blrTCAAAAAAAAmlP0iX3nqeIHVyrU7lTJcsef2Je54xG59r8jmbCk2kHn0afvIRksY0xCzzH8+uuvNXnyZBlj9Pnnn6tPnz767LPP1KFDBy1btkx5eXnNVWvKlZT4ldhPBwAAAAAAtFjhcrn3vytX6b9k1Tyhr/qIYaruMESBgPTggx5ZlnTNNUE5Em7zaTssS8rPzznseQlv3zvqqKP07LPPatWqVfrwww9VXl6uiy66SKNGjZLX621UsQAAAAAAALY74Il9npKX5fJvlBUskSRlZkbDFmOiT+DLzra51lYg4VDq7bff1oABAzR69GiNHj06fjwUCuntt9/WD3/4w6QWCAAAAAAAkFIOt8KZx0VDqZA/esgRnSsVCFgKBCxlZ7O1qqkSbjYbP3689u/ff9Bxv9+v8ePHJ6UoAAAAAAAAOxlXdPuZI+yPH4vNleIJfMmRcChljJFVz6MR9+3bp8zMzKQUBQAAAAAAYCfjiu7Ps0J+xQZOx57Ax7Dz5Gjw9r0ZM2ZIkizL0vXXXy+PxxP/Xjgc1kcffaQBAwYkv0IAAAAAAIAUM86aQd0mJEUqJWemfL7ooUCAUCoZGhxK5eREF8MYI5/PV2eoudvtVkFBgcaMGZP8CgEAAAAAAFLN4ZZxZskKl8sK+WWcmQd0StlcWyvR4FBq7ty5kqRjjjlGkyZNUlZsIyUAAAAAAEArZJzZssLlcoRKFc44Mt4pxfa95Eh4ptSMGTOSHkgtW7ZMw4cPV9++fTVmzBht2rTpe89/4YUXNHLkSPXt21ejRo3Sm2++Wef78+fP18iRI1VQUKAf/vCHmjBhgt57772k1gwAAAAAAFq32LBzK1wmqXamFIPOk6PBnVIHevHFF/XCCy9o165dqq6urvO9FStWJHStVatWae7cuZo9e7b69++vJUuWaPLkyXrxxReVl5d30PnvvvuurrnmGl199dU6/fTT9dxzz2n69Ol65pln1L17d0lS165ddfPNN+vYY49VZWWlHnvsMU2aNEkvv/yyjjjiiMZ8ZAAAAAAA0MbE5kpZoegT+Hw+Bp0nU8KdUo8//rhuuOEG5efn64MPPlDfvn3Vvn177dixQz/+8Y8TLmDx4sW6+OKLdeGFF+rEE0/U7Nmz5fV69fTTTx/y/YcOHaopU6aoW7dumjlzpk4++WQ98cQ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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def plot_hourly_upvote_rate(input_df, color, column_name, label):\n", " # Convert created_at to datetime and group by hour\n", " input_df = input_df.copy()\n", " input_df['created_at'] = pd.to_datetime(input_df['created_at'])\n", " hourly_upvote_rate = input_df.groupby(input_df['created_at'].dt.floor('h'))[column_name].mean()\n", "\n", " # Compute the rate's error using standard error of the mean\n", " hourly_upvote_count = input_df.groupby(input_df['created_at'].dt.floor('h'))[column_name].count()\n", " hourly_upvote_std = input_df.groupby(input_df['created_at'].dt.floor('h'))[column_name].std()\n", " hourly_upvote_rate_err = hourly_upvote_std / np.sqrt(hourly_upvote_count)\n", "\n", " # Plot the hourly upvote rate as a vertical bar plot with error bars\n", " plt.plot(hourly_upvote_rate, alpha=0.5, color=color, label=label)\n", "\n", " # Reduce the number of x-axis ticks\n", " # num_ticks = 10 # Adjust this number to get desired tick density\n", " # tick_indices = np.linspace(0, len(hourly_upvote_rate.index) - 1, num_ticks, dtype=int)\n", " # plt.xticks(tick_indices, [hourly_upvote_rate.index[i].strftime('%Y-%m-%d %H:00') for i in tick_indices], rotation=45, ha='right')\n", "\n", "\n", " # Calculate overall update rate and its error for comparison\n", " overall_update_rate = input_df[column_name].mean()\n", " overall_update_rate_err = input_df[column_name].std() / np.sqrt(len(input_df))\n", " print(f\"Overall update rate: {overall_update_rate:.4f} ± {overall_update_rate_err:.4f}\")\n", "\n", "# Call the function with clip_df\n", "plt.figure(figsize=(12, 6))\n", "plot_hourly_upvote_rate(clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask)], color=\"blue\", column_name=\"upvoted\", label=\"exp\")\n", "plot_hourly_upvote_rate(clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask)], color=\"orange\", column_name=\"upvoted\", label=\"control\")\n", "plt.title('Hourly Upvote Rate with Error Bars')\n", "plt.xlabel('Date and Hour')\n", "plt.ylabel('Upvote Rate')\n", "plt.legend()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 93, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:57:38.194690Z", "iopub.status.busy": "2024-10-09T17:57:38.194524Z", "iopub.status.idle": "2024-10-09T17:57:44.813996Z", "shell.execute_reply": "2024-10-09T17:57:44.813473Z", "shell.execute_reply.started": "2024-10-09T17:57:38.194673Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Overall update rate: 0.0357 ± 0.0001\n", "Overall update rate: 0.0286 ± 0.0001\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Call the function with clip_df\n", "plt.figure(figsize=(12, 6))\n", "plot_hourly_upvote_rate(clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask)], color=\"blue\", column_name=\"downvoted\", label=\"exp\")\n", "plot_hourly_upvote_rate(clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask)], color=\"orange\", column_name=\"downvoted\", label=\"control\")\n", "plt.title('Hourly Downvote Rate with Error Bars')\n", "plt.xlabel('Date and Hour')\n", "plt.ylabel('Downvote Rate')\n", "plt.legend()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 94, "metadata": { "execution": { "iopub.execute_input": "2024-10-09T17:57:44.814941Z", "iopub.status.busy": "2024-10-09T17:57:44.814769Z", "iopub.status.idle": "2024-10-09T17:58:01.681184Z", "shell.execute_reply": "2024-10-09T17:58:01.680627Z", "shell.execute_reply.started": "2024-10-09T17:57:44.814925Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0\n", "Overall update rate: nan ± nan\n", "Overall update rate: nan ± nan\n", "Overall update rate: 0.0451 ± 0.0001\n", "Overall update rate: 0.0388 ± 0.0001\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Overall update rate: nan ± nan\n", "Overall update rate: nan ± nan\n", "Overall update rate: 0.0357 ± 0.0001\n", "Overall update rate: 0.0286 ± 0.0001\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "out_exp_period_mask = (clip_df[\"created_at\"] < \"2024-10-03 22:00:00\")\n", "in_exp_period_mask = (clip_df[\"created_at\"] >= \"2024-10-03 22:00:00\")\n", "users_in_both = set(clip_df[out_exp_period_mask][\"user_id\"].unique()).intersection(clip_df[in_exp_period_mask][\"user_id\"].unique())\n", "print(len(users_in_both))\n", "same_period_user_mask = clip_df[\"user_id\"].isin(users_in_both)\n", "plt.figure(figsize=(12, 6))\n", "plot_hourly_upvote_rate(clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)], color=\"blue\", column_name=\"upvoted\", label=\"exp\")\n", "plot_hourly_upvote_rate(clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)], color=\"orange\", column_name=\"upvoted\", label=\"control\")\n", "plot_hourly_upvote_rate(clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)], color=\"green\", column_name=\"upvoted\", label=\"exp diff user\")\n", "plot_hourly_upvote_rate(clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)], color=\"red\", column_name=\"upvoted\", label=\"control diff user\")\n", "plt.title('Hourly Upvote Rate with Error Bars')\n", "plt.xlabel('Date and Hour')\n", "plt.ylabel('Upvote Rate')\n", "plt.legend()\n", "plt.tight_layout()\n", "plt.show()\n", "# Call the function with clip_df\n", "plt.figure(figsize=(12, 6))\n", "plot_hourly_upvote_rate(clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)], color=\"blue\", column_name=\"downvoted\", label=\"exp\")\n", "plot_hourly_upvote_rate(clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (same_period_user_mask)], color=\"orange\", column_name=\"downvoted\", label=\"control\")\n", "plot_hourly_upvote_rate(clip_df[(clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)], color=\"green\", column_name=\"downvoted\", label=\"exp diff user\")\n", "plot_hourly_upvote_rate(clip_df[(~clip_df[\"in_fe_exp\"]) & (same_model_mask) & (~same_period_user_mask)], color=\"red\", column_name=\"downvoted\", label=\"control diff user\")\n", "plt.title('Hourly Downvote Rate with Error Bars')\n", "plt.xlabel('Date and Hour')\n", "plt.ylabel('Downvote Rate')\n", "plt.legend()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 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": "3.10.14" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }