{ "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": "2024-09-14T20:13:53.507903Z", "iopub.status.busy": "2024-09-14T20:13:53.507604Z", "iopub.status.idle": "2024-09-14T20:13:53.657181Z", "shell.execute_reply": "2024-09-14T20:13:53.656722Z", "shell.execute_reply.started": "2024-09-14T20:13:53.507884Z" } }, "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": "2024-09-14T20:13:53.658510Z", "iopub.status.busy": "2024-09-14T20:13:53.658140Z", "iopub.status.idle": "2024-09-14T20:13:57.208462Z", "shell.execute_reply": "2024-09-14T20:13:57.207885Z", "shell.execute_reply.started": "2024-09-14T20:13:53.658496Z" } }, "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": "2024-09-14T20:13:57.209423Z", "iopub.status.busy": "2024-09-14T20:13:57.209168Z", "iopub.status.idle": "2024-09-14T20:13:57.228388Z", "shell.execute_reply": "2024-09-14T20:13:57.227911Z", "shell.execute_reply.started": "2024-09-14T20:13:57.209407Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2024-09-12 03:00:00\n" ] } ], "source": [ "# there are 4 hr time difference between eastern time and utc\n", "# cutoff_date = \"2024-08-26 21:00:00\" # v4-t3 out\n", "# cutoff_date = \"2024-09-2 04:55:00\" # v4-t3-5 out\n", "# cutoff_date = \"2024-09-4 05:20:00\" # v4-t2-16 out\n", "# cutoff_date = \"2024-09-4 15:45:00\" # v4-t2-17 out\n", "# cutoff_date = \"2024-09-6 21:00:00\" # v4-t3-r out\n", "# cutoff_date = \"2024-09-07 04:00:00\" # v4-t3-r out\n", "# cutoff_date = \"2024-09-07 17:20:00\" # v4-t3-r out\n", "# cutoff_date = \"2024-09-07 22:30:00\" # v4-t3-repro out\n", "# cutoff_date = \"2024-09-08 14:00:00\" # v4-t3-repro-4 out\n", "# cutoff_date = \"2024-09-09 21:00:00\" # text cfg 10 sec out\n", "# cutoff_date = \"2024-09-10 01:00:00\" # text cfg 10 sec out\n", "# cutoff_date = \"2024-09-10 14:00:00\" # t3-13 sec out\n", "# cutoff_date = \"2024-09-10 21:00:00\" # neg test out\n", "# cutoff_date = \"2024-09-11 03:00:00\" # s-8-25 out\n", "cutoff_date = \"2024-09-12 03:00:00\" # state check is out\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": "2024-09-14T20:13:57.229125Z", "iopub.status.busy": "2024-09-14T20:13:57.228984Z", "iopub.status.idle": "2024-09-14T20:13:58.667646Z", "shell.execute_reply": "2024-09-14T20:13:58.667159Z", "shell.execute_reply.started": "2024-09-14T20:13:57.229111Z" } }, "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": "2024-09-14T20:13:58.669045Z", "iopub.status.busy": "2024-09-14T20:13:58.668822Z", "iopub.status.idle": "2024-09-14T21:17:51.249226Z", "shell.execute_reply": "2024-09-14T21:17:51.248458Z", "shell.execute_reply.started": "2024-09-14T20:13:58.669031Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Start gather data from 2024-09-12 03:00:00\n", "Bots Action: 12,945,127 rows\n", " ---- Execution time: 232.08 seconds\n", "Total Clips: 13,546,737 rows\n", " ---- Execution time: 3323.39 seconds\n", "Playlist Clips: 176,800 rows\n", " ---- Execution time: 2.13 seconds\n", "Authenticated Users: 534,034 rows\n", " ---- Execution time: 1.12 seconds\n", "Discord Info: 300,304 rows\n", "subscription_status\n", "active 284004\n", "past_due 16300\n", "Name: count, dtype: int64\n", " ---- Execution time: 8.83 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": "2024-09-14T21:17:51.250300Z", "iopub.status.busy": "2024-09-14T21:17:51.250129Z", "iopub.status.idle": "2024-09-14T21:17:53.513461Z", "shell.execute_reply": "2024-09-14T21:17:53.512867Z", "shell.execute_reply.started": "2024-09-14T21:17:51.250284Z" } }, "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": 7, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:17:53.514386Z", "iopub.status.busy": "2024-09-14T21:17:53.514233Z", "iopub.status.idle": "2024-09-14T21:18:23.445859Z", "shell.execute_reply": "2024-09-14T21:18:23.445124Z", "shell.execute_reply.started": "2024-09-14T21:17:53.514371Z" } }, "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": 8, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:18:23.446936Z", "iopub.status.busy": "2024-09-14T21:18:23.446763Z", "iopub.status.idle": "2024-09-14T21:18:46.514132Z", "shell.execute_reply": "2024-09-14T21:18:46.513482Z", "shell.execute_reply.started": "2024-09-14T21:18:23.446918Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total clips: 13546737\n", "total without model: 539036\n", "uploads: 133500\n", "stems: 405535\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Total number of hours: 66\n", "Average clips per hour: 205253.59\n", "Max clips in an hour: 258802\n", "Min clips in an hour: 79872\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": 9, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:18:46.515159Z", "iopub.status.busy": "2024-09-14T21:18:46.514981Z", "iopub.status.idle": "2024-09-14T21:18:46.973507Z", "shell.execute_reply": "2024-09-14T21:18:46.972783Z", "shell.execute_reply.started": "2024-09-14T21:18:46.515142Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "number of upvoates: 1,380,166 rows\n", "number of flagged reports: 24,472 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": 10, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:18:46.974590Z", "iopub.status.busy": "2024-09-14T21:18:46.974414Z", "iopub.status.idle": "2024-09-14T21:18:47.706109Z", "shell.execute_reply": "2024-09-14T21:18:47.705412Z", "shell.execute_reply.started": "2024-09-14T21:18:46.974573Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reactions fraction by pro user:\n", "False: 9276536 (64.37%)\n", "True: 5134371 (35.63%)\n", "Reactions fraction by pro user:\n", "False: 7403201 (54.65%)\n", "True: 6143536 (45.35%)\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": 11, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:18:47.707175Z", "iopub.status.busy": "2024-09-14T21:18:47.707002Z", "iopub.status.idle": "2024-09-14T21:18:48.219756Z", "shell.execute_reply": "2024-09-14T21:18:48.219116Z", "shell.execute_reply.started": "2024-09-14T21:18:47.707159Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "stem parent ids: 197276\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": 12, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:12.019778Z", "start_time": "2024-05-26T00:22:57.637371Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:18:48.220779Z", "iopub.status.busy": "2024-09-14T21:18:48.220609Z", "iopub.status.idle": "2024-09-14T21:19:13.277925Z", "shell.execute_reply": "2024-09-14T21:19:13.277219Z", "shell.execute_reply.started": "2024-09-14T21:18:48.220763Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Clips in a splaylist:\n", "False: 13445908 (99.26%)\n", "True: 100829 (0.74%)\n", "Clips has stem children:\n", "False: 13353950 (98.58%)\n", "True: 192787 (1.42%)\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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:17.912428Z", "start_time": "2024-05-26T00:23:12.021726Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:19:13.278979Z", "iopub.status.busy": "2024-09-14T21:19:13.278799Z" } }, "outputs": [], "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:22.092835Z", "start_time": "2024-05-26T00:23:17.914456Z" } }, "outputs": [], "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:22.833148Z", "start_time": "2024-05-26T00:23:22.094796Z" } }, "outputs": [], "source": [ "# check the model conts\n", "print_out_value_counts_nicely(clip_df, \"model_name\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:26.317699Z", "start_time": "2024-05-26T00:23:22.835074Z" } }, "outputs": [], "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": null, "metadata": {}, "outputs": [], "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:38.974479Z", "start_time": "2024-05-26T00:23:34.385507Z" } }, "outputs": [], "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:40.236690Z", "start_time": "2024-05-26T00:23:39.995713Z" } }, "outputs": [], "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:44.826860Z", "start_time": "2024-05-26T00:23:40.238330Z" } }, "outputs": [], "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:48.404433Z", "start_time": "2024-05-26T00:23:44.857788Z" } }, "outputs": [], "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:23:56.590022Z", "start_time": "2024-05-26T00:23:48.405668Z" } }, "outputs": [], "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:04.704306Z", "start_time": "2024-05-26T00:23:56.591353Z" } }, "outputs": [], "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": 24, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:09.954233Z", "start_time": "2024-05-26T00:24:04.705554Z" }, "execution": { "iopub.status.idle": "2024-09-14T21:21:14.559028Z", "shell.execute_reply": "2024-09-14T21:21:14.558282Z", "shell.execute_reply.started": "2024-09-14T21:21:01.980606Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "has_action fraction by category:\n", "False: 12783335 (99.35%)\n", "True: 83880 (0.65%)\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": 25, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:14.579841Z", "start_time": "2024-05-26T00:24:09.955568Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:21:14.560109Z", "iopub.status.busy": "2024-09-14T21:21:14.559925Z", "iopub.status.idle": "2024-09-14T21:21:25.112417Z", "shell.execute_reply": "2024-09-14T21:21:25.111704Z", "shell.execute_reply.started": "2024-09-14T21:21:14.560092Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "flagged fraction by category:\n", "False: 12848619 (99.86%)\n", "True: 18596 (0.14%)\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": 26, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:21:25.113500Z", "iopub.status.busy": "2024-09-14T21:21:25.113330Z", "iopub.status.idle": "2024-09-14T21:21:26.787252Z", "shell.execute_reply": "2024-09-14T21:21:26.786659Z", "shell.execute_reply.started": "2024-09-14T21:21:25.113483Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "deleted fraction by category:\n", "False: 11008290 (85.55%)\n", "True: 1858925 (14.45%)\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": 27, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:15.382315Z", "start_time": "2024-05-26T00:24:14.581073Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:21:26.788197Z", "iopub.status.busy": "2024-09-14T21:21:26.788040Z", "iopub.status.idle": "2024-09-14T21:21:28.337695Z", "shell.execute_reply": "2024-09-14T21:21:28.337050Z", "shell.execute_reply.started": "2024-09-14T21:21:26.788183Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total clips: 12,867,215\n", "Must be positive: 761,975 (5.92%)\n", "Definitely not negative: 10,583,024 (82.25%)\n", "Must be negative: 2,284,191 (17.75%)\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": 28, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:31.095990Z", "start_time": "2024-05-26T00:24:15.383572Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:21:28.338695Z", "iopub.status.busy": "2024-09-14T21:21:28.338533Z", "iopub.status.idle": "2024-09-14T21:22:17.973458Z", "shell.execute_reply": "2024-09-14T21:22:17.972713Z", "shell.execute_reply.started": "2024-09-14T21:21:28.338680Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Liked requests: 596,131\n", "Not liked requests: 6,391,764\n", "Requests with preference paired generations: 471,040\n", "Percentage of total unique requests: 7.23%\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": 29, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:22:17.974590Z", "iopub.status.busy": "2024-09-14T21:22:17.974413Z", "iopub.status.idle": "2024-09-14T21:22:45.845140Z", "shell.execute_reply": "2024-09-14T21:22:45.844391Z", "shell.execute_reply.started": "2024-09-14T21:22:17.974573Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Disliked requests: 1,348,736\n", "Not disliked requests: 5,554,331\n", "Requests with preference paired generations: 386,212\n", "Percentage of total unique requests: 5.93%\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": 30, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:31.099372Z", "start_time": "2024-05-26T00:24:31.097244Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:22:45.846251Z", "iopub.status.busy": "2024-09-14T21:22:45.846073Z", "iopub.status.idle": "2024-09-14T21:22:48.546121Z", "shell.execute_reply": "2024-09-14T21:22:48.545392Z", "shell.execute_reply.started": "2024-09-14T21:22:45.846234Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total selected pairs of requests: 744,477\n", "Percentage of total unique requests: 11.42%\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": 31, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:31.239254Z", "start_time": "2024-05-26T00:24:31.100389Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:22:48.547172Z", "iopub.status.busy": "2024-09-14T21:22:48.546999Z", "iopub.status.idle": "2024-09-14T21:22:48.692477Z", "shell.execute_reply": "2024-09-14T21:22:48.691859Z", "shell.execute_reply.started": "2024-09-14T21:22:48.547155Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Difference in preference counts:\n", "0: 9,870,014 (76.71%)\n", "-1: 2,284,191 (17.75%)\n", "1: 713,010 (5.54%)\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": 32, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:37.322031Z", "start_time": "2024-05-26T00:24:31.240829Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:22:48.693456Z", "iopub.status.busy": "2024-09-14T21:22:48.693295Z", "iopub.status.idle": "2024-09-14T21:23:04.862995Z", "shell.execute_reply": "2024-09-14T21:23:04.862260Z", "shell.execute_reply.started": "2024-09-14T21:22:48.693441Z" } }, "outputs": [], "source": [ "# creation of interesting_clips\n", "interesting_clips = clip_df[clip_df[\"request_id\"].isin(requests)].copy()" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:23:04.864064Z", "iopub.status.busy": "2024-09-14T21:23:04.863886Z", "iopub.status.idle": "2024-09-14T21:23:13.270875Z", "shell.execute_reply": "2024-09-14T21:23:13.270233Z", "shell.execute_reply.started": "2024-09-14T21:23:04.864048Z" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " request_id pos_preference neg_preference diff_preference\n", "0 00001c41-cd99-488f-8eaa-d9c3194b9a34 False True -1\n", "1 00001c41-cd99-488f-8eaa-d9c3194b9a34 True False 1\n", "2 00002e46-d51a-43e3-a926-fc31ee48d21f False False 0\n", "3 00002e46-d51a-43e3-a926-fc31ee48d21f True False 1\n", "4 0000460e-bbd5-452e-9811-1197e4b2c57a False True -1\n", "5 0000460e-bbd5-452e-9811-1197e4b2c57a False False 0" ] }, "execution_count": 33, "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": 34, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:23:13.271951Z", "iopub.status.busy": "2024-09-14T21:23:13.271778Z", "iopub.status.idle": "2024-09-14T21:23:13.301980Z", "shell.execute_reply": "2024-09-14T21:23:13.301389Z", "shell.execute_reply.started": "2024-09-14T21:23:13.271935Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Difference 0: 631,702 (42.43%)\n", "Difference 1: 471,040 (31.64%)\n", "Difference -1: 386,212 (25.94%)\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": 35, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:23:13.302895Z", "iopub.status.busy": "2024-09-14T21:23:13.302738Z", "iopub.status.idle": "2024-09-14T21:23:13.364511Z", "shell.execute_reply": "2024-09-14T21:23:13.363941Z", "shell.execute_reply.started": "2024-09-14T21:23:13.302881Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Value 1.0: 631,702 (84.85%)\n", "Value 2.0: 112,775 (15.15%)\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": 36, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:38.960130Z", "start_time": "2024-05-26T00:24:37.323369Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:23:13.365363Z", "iopub.status.busy": "2024-09-14T21:23:13.365214Z", "iopub.status.idle": "2024-09-14T21:23:23.095499Z", "shell.execute_reply": "2024-09-14T21:23:23.094744Z", "shell.execute_reply.started": "2024-09-14T21:23:13.365349Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of unique request_ids: 744,477\n", "Number of unique ids: 1,488,954\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": 37, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:43.332222Z", "start_time": "2024-05-26T00:24:43.166461Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:23:23.096607Z", "iopub.status.busy": "2024-09-14T21:23:23.096421Z", "iopub.status.idle": "2024-09-14T21:23:23.127599Z", "shell.execute_reply": "2024-09-14T21:23:23.127016Z", "shell.execute_reply.started": "2024-09-14T21:23:23.096589Z" } }, "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": 38, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:23:23.132870Z", "iopub.status.busy": "2024-09-14T21:23:23.132499Z", "iopub.status.idle": "2024-09-14T21:24:14.669713Z", "shell.execute_reply": "2024-09-14T21:24:14.668933Z", "shell.execute_reply.started": "2024-09-14T21:23:23.132852Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of interesting clips: 1,488,954\n", "Unique request and clip counts in interesting_clips:\n", "Request IDs: 744,477\n", "Clip IDs: 1,488,954\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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:43.737067Z", "start_time": "2024-05-26T00:24:43.563216Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:24:14.672429Z", "iopub.status.busy": "2024-09-14T21:24:14.672278Z", "iopub.status.idle": "2024-09-14T21:24:15.422012Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Preference counts and fractions by batch index:\n", "--------------------------------------------------\n", "Batch Index: 0\n", " Preference False: Count: 378,777 Fraction: 50.88%\n", " Preference True: Count: 365,700 Fraction: 49.12%\n", "\n", "Batch Index: 1\n", " Preference False: Count: 365,700 Fraction: 49.12%\n", " Preference True: Count: 378,777 Fraction: 50.88%\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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:44.304573Z", "start_time": "2024-05-26T00:24:43.973218Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:24:15.423037Z", "iopub.status.busy": "2024-09-14T21:24:15.422857Z", "iopub.status.idle": "2024-09-14T21:24:15.907013Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "chirp-v3p5-engine-s-8: 896587 (60.22%)\n", "chirp-v3p5-engine-evict: 152192 (10.22%)\n", "chirp-v3p5-engine-t-3: 139209 (9.35%)\n", "chirp-v3p5-engine-upload-4: 107543 (7.22%)\n", "chirp-v3p5-engine-s-25: 65591 (4.41%)\n", "chirp-v3p5-engine-oci: 27199 (1.83%)\n", "chirp-v3-engine-i: 25056 (1.68%)\n", "chirp-v3p5-engine-s-25-b-2: 18578 (1.25%)\n", "chirp-v3p5-engine-t-3-15-b-1: 17669 (1.19%)\n", "chirp-v3p5-engine-t-3-13-b-1: 13899 (0.93%)\n", "chirp-v3p5-engine-s-25-b-15: 5721 (0.38%)\n", "chirp-v3p5-engine-s-25-b-4: 4882 (0.33%)\n", "chirp-v2-xxl-alpha: 3890 (0.26%)\n", "chirp-v3p5-engine-b: 3890 (0.26%)\n", "chirp-v3p5-engine-s-25-b-1: 3755 (0.25%)\n", "chirp-v3p5-engine-t-4-0: 2444 (0.16%)\n", "chirp-v3p5-engine-ft-1: 832 (0.06%)\n", "chirp-v3-5-upload: 11 (0.00%)\n", "chirp-v3-5-tau: 2 (0.00%)\n", "chirp-v3p5-engine-t-2: 2 (0.00%)\n", "chirp-v3p5-engine-short: 2 (0.00%)\n" ] } ], "source": [ "print_out_value_counts_nicely(interesting_clips, \"model_name\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:44.533983Z", "start_time": "2024-05-26T00:24:44.305722Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:24:15.907981Z", "iopub.status.busy": "2024-09-14T21:24:15.907816Z", "iopub.status.idle": "2024-09-14T21:24:16.013044Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Time Validation:\n", "--------------------\n", "Interesting Clips:\n", " Earliest: 2024-09-12 03:00:00.297335+00:00\n", " Latest: 2024-09-14 20:21:00.288484+00:00\n", "\n", "All Clips:\n", " Earliest: 2024-09-12 03:00:00.001358+00:00\n", " Latest: 2024-09-14 20:21:57.349326+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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:50.674838Z", "start_time": "2024-05-26T00:24:46.366677Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:24:16.014098Z", "iopub.status.busy": "2024-09-14T21:24:16.013930Z", "iopub.status.idle": "2024-09-14T21:24:21.875100Z" } }, "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:51.600621Z", "start_time": "2024-05-26T00:24:50.676186Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:24:21.876222Z", "iopub.status.busy": "2024-09-14T21:24:21.876038Z", "iopub.status.idle": "2024-09-14T21:25:08.807927Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ratio of preferred clips to total clips for each model:\n", "------------------------------------------------------------\n", "chirp-v2-engine-msft-60s nan% ± nan%\n", "chirp-v2-xxl-alpha 4.02% ± 0.09%\n", "chirp-v3-5-short nan% ± nan%\n", "chirp-v3-5-tau nan% ± nan%\n", "chirp-v3-5-upload 12.50% ± 4.42%\n", "chirp-v3-5|chirp-v3-0 nan% ± nan%\n", "chirp-v3-engine-i 4.29% ± 0.04%\n", "chirp-v3p5-engine-b 0.44% ± 0.01%\n", "chirp-v3p5-engine-evict 5.75% ± 0.02%\n", "chirp-v3p5-engine-ft-1 5.38% ± 0.26%\n", "chirp-v3p5-engine-oci 5.85% ± 0.05%\n", "chirp-v3p5-engine-s-25 6.94% ± 0.04%\n", "chirp-v3p5-engine-s-25-b-1 6.26% ± 0.14%\n", "chirp-v3p5-engine-s-25-b-15 6.50% ± 0.12%\n", "chirp-v3p5-engine-s-25-b-2 6.41% ± 0.06%\n", "chirp-v3p5-engine-s-25-b-4 6.03% ± 0.12%\n", "chirp-v3p5-engine-s-8 5.57% ± 0.01%\n", "chirp-v3p5-engine-short 0.52% ± 0.52%\n", "chirp-v3p5-engine-t-2 5.56% ± 5.40%\n", "chirp-v3p5-engine-t-3 9.42% ± 0.03%\n", "chirp-v3p5-engine-t-3-13-b-1 6.47% ± 0.08%\n", "chirp-v3p5-engine-t-3-15-b-1 6.45% ± 0.07%\n", "chirp-v3p5-engine-t-4-0 10.62% ± 0.29%\n", "chirp-v3p5-engine-upload-4 7.56% ± 0.03%\n" ] } ], "source": [ "# Calculate the ratio of preferred clips to total clips for each model\n", "preference_ratio = (\n", " interesting_clips[interesting_clips[\"preference\"]][\"model_name\"].value_counts()\n", " / clip_df[\"model_name\"].value_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_name\"].value_counts()[model]\n", " uncertainty = (ratio * (1 - ratio) / n) ** 0.5\n", " print(f\"{model:<30} {ratio:.2%} ± {uncertainty:.2%}\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:56.302599Z", "start_time": "2024-05-26T00:24:51.601863Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:25:08.808998Z", "iopub.status.busy": "2024-09-14T21:25:08.808823Z", "iopub.status.idle": "2024-09-14T21:25:19.267411Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "len pos models: 744477\n", "differing counts: 314562\n", "chirp-v2-xxl-alpha_win_over_chirp-v2-xxl-alpha, win ratio 1.000, counts 1945\n", "chirp-v3-5-upload_win_over_chirp-v3p5-engine-upload-4, win ratio 0.636, counts 7\n", "chirp-v3-engine-i_win_over_chirp-v3-engine-i, win ratio 1.000, counts 12528\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, counts 1944\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-t-2, win ratio 0.500, counts 1\n", "chirp-v3p5-engine-evict_win_over_chirp-v3p5-engine-evict, win ratio 1.000, counts 227\n", "chirp-v3p5-engine-evict_win_over_chirp-v3p5-engine-s-8, win ratio 0.501, counts 76086\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, counts 416\n", "chirp-v3p5-engine-oci_win_over_chirp-v3p5-engine-oci, win ratio 1.000, counts 22\n", "chirp-v3p5-engine-oci_win_over_chirp-v3p5-engine-s-8, win ratio 0.494, counts 13405\n", "chirp-v3p5-engine-s-25-b-15_win_over_chirp-v3p5-engine-s-25, win ratio 0.498, counts 2850\n", "chirp-v3p5-engine-s-25-b-1_win_over_chirp-v3p5-engine-s-25, win ratio 0.504, counts 1891\n", "chirp-v3p5-engine-s-25-b-2_win_over_chirp-v3p5-engine-s-25, win ratio 0.497, counts 9234\n", "chirp-v3p5-engine-s-25-b-2_win_over_chirp-v3p5-engine-s-25-b-2, win ratio 1.000, counts 4\n", "chirp-v3p5-engine-s-25-b-4_win_over_chirp-v3p5-engine-s-25, win ratio 0.466, counts 2274\n", "chirp-v3p5-engine-s-25-b-4_win_over_chirp-v3p5-engine-s-25-b-4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25, win ratio 1.000, counts 10\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-1, win ratio 0.496, counts 1864\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-15, win ratio 0.502, counts 2871\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-2, win ratio 0.503, counts 9336\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-4, win ratio 0.534, counts 2606\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-8, win ratio 0.585, counts 19091\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-evict, win ratio 0.499, counts 75652\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-oci, win ratio 0.506, counts 13750\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-25, win ratio 0.415, counts 13554\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, counts 308705\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3, win ratio 0.541, counts 19503\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3-13-b-1, win ratio 0.534, counts 7413\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3-15-b-1, win ratio 0.537, counts 9479\n", "chirp-v3p5-engine-short_win_over_chirp-v3p5-engine-short, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-2_win_over_chirp-v3p5-engine-b, win ratio 0.500, counts 1\n", "chirp-v3p5-engine-t-3-13-b-1_win_over_chirp-v3p5-engine-s-8, win ratio 0.466, counts 6482\n", "chirp-v3p5-engine-t-3-13-b-1_win_over_chirp-v3p5-engine-t-3-13-b-1, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3-15-b-1_win_over_chirp-v3p5-engine-s-8, win ratio 0.463, counts 8186\n", "chirp-v3p5-engine-t-3-15-b-1_win_over_chirp-v3p5-engine-t-3-15-b-1, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3-5-tau, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-s-8, win ratio 0.459, counts 16576\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 50342\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-0, win ratio 0.509, counts 1243\n", "chirp-v3p5-engine-t-4-0_win_over_chirp-v3p5-engine-t-3, win ratio 0.491, counts 1201\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3-5-upload, win ratio 0.364, counts 4\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, counts 53766\n", "tournament players: ['chirp-v3-5-tau', 'chirp-v3-5-upload', 'chirp-v3p5-engine-b', 'chirp-v3p5-engine-evict', 'chirp-v3p5-engine-oci', 'chirp-v3p5-engine-s-25', 'chirp-v3p5-engine-s-25-b-1', 'chirp-v3p5-engine-s-25-b-15', 'chirp-v3p5-engine-s-25-b-2', 'chirp-v3p5-engine-s-25-b-4', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-2', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3-13-b-1', 'chirp-v3p5-engine-t-3-15-b-1', 'chirp-v3p5-engine-t-4-0', 'chirp-v3p5-engine-upload-4']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 495.16it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3-5-tau: 999.2, (998, 1000)\n", "chirp-v3-5-upload: 1001.0, (999, 1003)\n", "chirp-v3p5-engine-b: 1000.0, (999, 1001)\n", "chirp-v3p5-engine-evict: 987.8, (985, 991)\n", "chirp-v3p5-engine-oci: 982.4, (977, 987)\n", "chirp-v3p5-engine-s-25: 1046.2, (1043, 1049)\n", "chirp-v3p5-engine-s-25-b-1: 1049.7, (1039, 1061)\n", "chirp-v3p5-engine-s-25-b-15: 1044.4, (1036, 1053)\n", "chirp-v3p5-engine-s-25-b-2: 1044.3, (1038, 1050)\n", "chirp-v3p5-engine-s-25-b-4: 1022.6, (1013, 1032)\n", "chirp-v3p5-engine-s-8: 986.8, (984, 989)\n", "chirp-v3p5-engine-t-2: 1000.0, (999, 1001)\n", "chirp-v3p5-engine-t-3: 958.7, (955, 962)\n", "chirp-v3p5-engine-t-3-13-b-1: 963.2, (957, 969)\n", "chirp-v3p5-engine-t-3-15-b-1: 961.4, (956, 966)\n", "chirp-v3p5-engine-t-4-0: 953.3, (941, 970)\n", "chirp-v3p5-engine-upload-4: 999.0, (997, 1001)\n" ] }, { "data": { "image/png": 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iT/v27RM915EjR6bTigE8iW0//63Y6FgN+K678hbLpeotK6lZn7pa/tU6c5/Xm5TX90cmWVyXs4CXfErnVRYvVzk4OcindF75lM4rO3uDJGn3+gMqXN5HbUc0U86C2VWwTD4NnP2+rl0I0b8HL8hkMunCsUCLV1jIbUXfi9aFY4G6F3X/uT6H9LZtyT+KiY7VgG+7Km/RXKreoqKa9q6r5V9vMPep0ric5hwcbz7OWyy3JmwYrn1bj2jF1+uVxctVWbxc5eqRKdH4dTtW14nd/+ri8cBE57r5v6OSVYvIy9tDxSoV0qdL+ikuzqjfl+54Njf7AqtTrahqVvFV3lzuyunlqppVfPV+2ze09e9TivvfLyqqVSyoH7/uZL4mKDhc5y/dML+u/i+4ezEwVGHh8UH6gI2HlNPLTT3bV5N3Lnc1q1dGb77uqyWrH5TRGNi9tv6velGNnrJWUXej5e6WUe5uGeXg8OrlLvx+7YxKZsmpXkWqKa+zu4q5ZdfYco115U6YjofFl3opmSWn1tXppWyO8T/vV+/e1pnbIebXhcj4DQcv3bml4LsRaR5Xkoq4eqmIq5cy2jnI3cFZRVy9VCCTx3N+CgAAAHjYq/ev4qfI0dFRjo6OyZ6Pjo6Wg4PDM5u/UqVK6tGjhzw9PRUcHKwJEyaob9+++vnnnx95rA0bNsjFxcV8nDXri7GTuJubW3ovIUm7d+9W27ZtVbJkScXFxenLL79Uly5dtHbtWmXM+GDn91atWunDDz80Hzs5OaXHcgE8oajbdzWsob/6TO2kb3aOUfiNCC0as1Lrvt9m7pMxc0bl8c1pcV3/b7updPVi5uNv9/hLktoX+lDBF2/o4O/HNa7DN2o58C21GthI96Pu6/iuMxrRaLyi78U8n5uzIlG372p4ownq89V7mv7PZwq/Gakf/Vdq/dwHGYrO//kc3mhWQW7ZMqv2u1VV+92q5vZrF0P0XpEB5uOMmZ1UtWkFfTtoUZJze+Ry17AFvZTJ3UXhNyJ07J/T6ld9tMJvRDyDO32xxcUZ1bZZBeXJ6S5JCg65reXrD2jpQwFZ54wZlDf3o/1b4ur1cA0es0IfdKqhlm+VVcjNSI2fsVG7D14w92lWr4wkafoXbSyuHTNtvdb/duyx7sda7Qq5oEF7VqhL4SrqUriK7sXG6GBooLr+/aPuG+NLXTgZ7OWTyUP2tmnP7UjLuJIUUOt98/sSWXKqkXdJXbkTplobv356NwkAAJAGbMb2gI3JZHqlE5yNRqO+//57LV26VFevXpWHh4dat26tRo0aqVatWpo2bZoWLlyow4cPK2/evBo9erT8/PwkJS7dMG3aNG3ZskXt2rXTzJkzFRQUpJMnT6p9+/YqVKiQJOnXX3+VnZ2d3nnnHfXt2/d/X3G0FBkZqSpVqmjatGmqXr26uX3z5s0aPHiw/vnnnyQDhlu3blXv3r115MgR2dvbm9c3btw4TZgwQVevXtVrr72mL774Qjly5JAUn9HboUMH7dmzR5kzZ07zc4uOjtaUKVO0Zs0aRUREqFChQho0aJAqVqxo8WymTJmisWPH6tq1aypbtqz8/f2VLVs2SVJsbKzGjRungIAAGQwGtWjRQjdu3FBERIRmzIjf7fy/pRtq1qypVq1a6eLFi9qwYYNcXV3Vs2dPtW7d2ry2q1evaty4cfr7779la2urcuXKacSIEcqdO3ey97NhwwZ98803unjxopycnFS0aFHNmDHDImibktDQUFWuXFmLFi1ShQoVklz746hjy8YnwMNs7OxT74RnzsZgSO8lQNKd+qXTewmQdKNd8mVD8PzkaXEkvZcAAABSsNm47JmNXWjZF89s7NScaflxus2dlFe+dMPkyZM1e/Zs9erVS+vWrdOkSZPk4fHga2dTpkxRly5dFBAQoHz58mngwIGKjY1NdrxLly5p48aNmj59ugICAsztK1eulMFg0LJlyzRixAjNnz9fy5Yl/UPu4uKiGjVqaM0ay12kV69erdq1aycZ5A0LC9Pq1avl5+cne/sHgZB79+5p5syZGj9+vBYvXqzbt2+rf//+ia5v2rSpqlatqk6dOmnfvn2Jzv/XZ599pgMHDmjKlClatWqV6tWrp65du+rChQsWc8+dO1cTJkzQokWLdPXqVY0f/+DrtLNnz9bq1avl7++vn376SZGRkdqyZUsSs1maN2+eSpQooYCAAL377rsaNWqUuWxCTEyMunTpImdnZ/34449avHixMmbMqK5duyo6OjrJ8a5fv66BAwfq7bff1rp167RgwQLVqVNHj/I7kIiI+IwuV1fLTYJWr16tihUr6q233tLkyZN19+7dNI8JAAAAAAAApNUrXbohMjJSCxYs0MiRI9WsWTNJkre3t8qXL6/AwPj6fJ07d1aNGjUkSR9++KEaNmyoixcvqkCBAkmOGRMTowkTJsjd3d2iPUeOHBo+fLhsbGzk4+Oj06dPa/78+WrVqlWS4zRu3FgfffSR7t69KycnJ0VGRur333/X9OnTLfpNnDhRP/74o+7evasyZcro22+/TbSekSNHqnTp+KyfcePGqUGDBjp8+LBKlSolT09PjR49WiVKlFB0dLSWLVumDh06aOnSpSpevHiSawsKCtKKFSv022+/ycsrfrfxLl266K+//tKKFSs0YMAA89yjR4+Wt7e3JKlt27bmTF1JWrRokbp37646depIkkaOHKk///wzyTkfVq1aNbVt21aS1K1bN82fP1+7du2Sj4+P1q1bJ6PRqDFjxpizpf39/VWhQgXt3r1bVatWTTReSEiIYmNjVadOHeXKlUuS5Ovrm+o6EhiNRo0dO1Zly5ZV4cKFze1vvfWWcubMqWzZsunUqVOaNGmSzp8/n+gzBAAAAAAAwON5tWsVWHqlA73nzp1TdHS0KlWqlGyfhwN+np6ekuK/pp9coDdnzpyJgrySVLp0aYsyDWXKlNG8efMUFxen2bNna9asWeZza9euVbVq1WRvb69t27apYcOG2rhxo1xcXFSlShWLcbt06aIWLVooKChI06dP15AhQzRr1izzXHZ2dipZsqS5f4ECBZQ5c2adPXtWpUqVko+Pj3x8fMzny5Ytq8uXL2v+/PmaOHGiVq1apU8//dR8fvbs2YqMjFRcXJzq1atnsZbo6GiLmrpOTk7mIK8kZcuWTTdvxm/6ERERoRs3bqhUqVLm8waDQcWLF5fRaEzy2SZ4+DOxsbGRh4eHedyTJ0/q0qVLKlu2rMU19+/f16VLl7R3715169bN3D569Gg1bNhQlStXVqNGjVS1alVVrVpVdevWlaura5L9GzdubDH26NGjdebMGf30008W7Q+Xk/D19ZWnp6c6duyoS5cuWTwXAAAAAAAA4Em90oHeDBkypNrn4TIICcHTlAKRj7PZVps2bVS/fn3zcbZs2WRnZ6e6detq9erVatiwodasWaMGDRrIzs7yI3N3d5e7u7vy58+vAgUKqHr16jp48KC5jvDjKFmypPbv3y8pviZuQjawJHl5eWnbtm0yGAxavny5DP+p0/hwTdv/rtXGxuaRyiEkJ6Vxo6KiVLx4cU2aNCnRde7u7rK3t7coqZE1a1YZDAbNmzdP+/fv199//62FCxdqypQpWrp0qblExMP9H/bZZ5/p999/16JFi5Q9e/YU153wHC9evEigFwAAAAAA4ClgM7YHXulAb758+eTo6KidO3cqT548z3Suw4cPWxwfOnRIefPmlcFgkJubm0UmbIJGjRqpc+fOOnPmjHbu3Kl+/fqlOEdCAPrhWrSxsbE6evSoOXP23Llzun37drIZyVJ8VmxC9rKLi4tcXFwszhctWlRxcXEKDQ1V+fLlU1xTcjJlyiQPDw8dOXLEvHlZXFycjh8/riJFijzWmJJUvHhxrV+/XlmzZk207gR58+ZN1GZjY6Ny5cqpXLly6t27t958801t2bJFnTp1SrK/yWTS559/rs2bN2vhwoVp+vk5ceKEpAeZ4QAAAAAAAMDT8koHejNkyKBu3bpp4sSJsre3V9myZRUaGqozZ86ocuXKT3WuoKAg+fv7q3Xr1jp+/LgWLVqkIUOGpHhNhQoV5OHhoUGDBil37twWmbWHDh3SkSNHVK5cOWXOnFmXLl3S1KlT5e3tbZHNa29vr88//1wff/yxDAaDPv/8c5UpU8Yc+J0/f75y586tQoUK6f79+1q2bJl27typuXPnJruu/Pnzq1GjRho8eLCGDh2qokWL6tatW9qxY4d8fX3NNY1T065dO82aNUve3t7y8fHRokWLFB4eblHi4lE1atRI33//vXr27Km+ffvKy8tLQUFB2rx5s7p27Zpk1u2hQ4e0Y8cOvf7668qaNasOHTqk0NBQi5IW/zV69GitWbNGM2bMkLOzs0JCQiTFB7AdHR116dIlrV69WtWrV5ebm5tOnTplrhX8JIFsAC+WTFmc1furjqrY0E8mo0nbV+7WjAELdO/O/RSvK1qxkDp91kpFXiuguDijzh26qGENxyn6Xoy5z2v1y6jdiObKX9Jb0fdidOSvExrV4kvz+V5fdlDxKr7KWzy3Lp+8op4Vhj+z+3zRZcrirF5fdlDFBn4yGY3aHrBXMwctTPFz+HBaJ/nVLK6sObLobuQ9ndh5Rt9/vESXT1+16Fen3Rtq/mE95S6UXVG37+nPFbv1Tf8fJEntRjRT+4+bJxr73p37auLR9enepBXI5OKo/l1r6vXyBWQ0mfTHjjOaOneb7j70c/2w7J6Z9cus7kme+2TiKv2247QkqW+XmipVJKfye3voYmCoOg1ckOwacmV307zJHRRnNKp++1ezJr6rvaM+Ll1fb+YoLKPJpE1BJzT20AZFxSX9ObjaO+qDYjX0ejYf5cjoqtD7UdoadFJTj/+uyNj4v0PNvEvLv3yTJK+vsnaSQu9HqWzWPBpUorZ8XLLK0c5eQVHhWnJ+n374d9czu1cAAABJEhm9Zq90oFeSevXqJYPBoK+//lrXr1+Xp6en2rR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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "get_preference_counts(interesting_clips)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:57.443236Z", "start_time": "2024-05-26T00:24:56.306473Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:25:19.268860Z", "iopub.status.busy": "2024-09-14T21:25:19.268363Z", "iopub.status.idle": "2024-09-14T21:25:22.676710Z" } }, "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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IERk/fny6du2a4cOHZ9asWUmShx9+ONtuu20++clPNmXZAABAA7QodgEAAACNpW/fvunbt+8K+2+99dYMGTIkgwYNSpKMHDkyjz76aO69994cc8wx+cc//pEHH3wwv/3tb7Nw4cIsXbo0rVu3zgknnNBUpwAAAKyCYAMAAGgWlixZkilTpuTYY4+taSsvL0/v3r0zadKkJMmpp56aU089NUly33335eWXXxZqAADAWsZUVAAAQLMwZ86cVFVVpUOHDrXaO3TokHfffbdIVQEAAA3liQ0AAIA6DBw4sNglAAAAdfDEBgAA0Cy0b98+FRUVNQuFLzNr1qx07NixSFUBAAANJdgAAACahZYtW2bnnXfOxIkTa9oKhUImTpyYnj17FrEyAACgIUxFBQAArDMWLlyYN954o+b19OnTM3Xq1LRr1y6bb755jjzyyJxxxhnp1q1bevTokTFjxmTx4sWmnQIAgBIi2AAAANYZzz//fIYNG1bzetSoUUmSAQMG5OKLL07//v0ze/bsXHXVVZk5c2Z23HHH3HzzzaaiAgCAEiLYAAAA1hm9evXKiy++uNJthg4dmqFDhzZRRQAAQGOzxgYAAAAAAFAyBBsAAAAAAEDJEGwAAAAAAAAlQ7ABAAAAAACUDMEGAAAAAABQMgQbAAAAAABAyRBsAAAAAAAAJUOwAQAAAAAAlAzBBgAAAAAAUDIEGwAAAAAAQMkQbAAAAAAAACVDsAEAAAAAAJQMwQYAAAAAAFAyBBsAAAAAAEDJEGwAAAAAAAAlQ7ABAAAAAACUDMEGAAAAAABQMgQbAAAAAABAyRBsAAAAAAAAJUOwAQAAAAAAlAzBBgAAAAAAUDJaFLsAAAAA1g4VFXXf+1YoVKdQqG7iagAAoG6CDQAAgGauU5v1U1WoTtu2rersX1pVyLy5i4QbAACsFQQbAAAAzVzbVi1SUV6Wk8ZNyrQZC2r1dencJqMP6pny8jLBBgAAawXBBgAAAEmSaTMWZMpb84tdBgAArJTFwwEAAAAAgJIh2AAAAAAAAEqGYAMAAAAAACgZgg0AAAAAAKBkCDYAAAAAAICSIdgAAAAAAABKhmADAAAAAAAoGYINAAAAAACgZAg2AAAAAACAkiHYAAAAAAAASoZgAwAAAAAAKBmCDQAAAAAAoGQINgAAAAAAgJIh2AAAAAAAAEqGYAMAAAAAACgZgg0AAAAAAKBkCDYAAAAAAICSIdgAAAAAAABKhmADAAAAAAAoGYINAAAAAACgZAg2AAAAAACAkiHYAAAAAAAASkaLYhcAAADA2q+iou774gqF6hQK1U1cDQAAzZlgAwAAgBXq1Gb9VBWq07Ztqzr7l1YVMm/uIuEGAABNRrABAADACrVt1SIV5WU5adykTJuxoFZfl85tMvqgnikvLxNsAADQZAQbAAAArNK0GQsy5a35xS4DAAAsHg4AAAAAAJQOwQYAAAAAAFAyTEUFAAAU1X/+85+UlZXlE5/4RJJk8uTJeeCBB9KlS5d885vfLHJ1AADA2sYTGwAAQFGdeuqp+etf/5okmTlzZo488sg899xzueKKK3LNNdcUuToAAGBtI9gAAACK6uWXX06PHj2SJL/5zW/yqU99KuPGjctll12W8ePHF7k6AABgbdPgYGPKlCl58cUXa14//PDDOf744/PjH/84S5YsadTiAACAdd/SpUvTsmXLJMlf/vKX9OvXL0my3XbbZebMmcUsDQAAWAs1ONg499xz89prryVJ3nzzzXz3u99Nq1at8tBDD+VHP/pRY9cHAACs47p06ZJx48blmWeeyV/+8pfstddeSZIZM2Zk4403Lm5xAADAWqfBwcZrr72WHXfcMckHj4l/9rOfzeWXX55Ro0bld7/7XaMXCAAArNtOO+203HXXXTnssMOy3377pWvXrkmSP/7xjzVTVAEAACzToqE7VFdXp1AoJEkmTpyYL3zhC0mSzTbbLHPmzGnU4gAAgHVbdXV1ttpqqzzyyCOpqqpKu3btavqGDBmSVq1aFbE6AABgbdTgJza6deuW6667LhMmTMjTTz9dE2xMnz49HTt2bOz6AACAdVh1dXX22WefvPvuu7VCjSTZcsst06FDhyJVBgAArK0aHGycffbZ+ec//5kf/OAHOe6447LNNtskSX7729+mZ8+ejV4gAACw7iovL88222yTuXPnFrsUAACgRDR4KqquXbvmgQceWK799NNPT3l5g3MSAACgmTv11FNz6aWX5vzzz88OO+xQ7HIAAIC1XIODjWWee+65vPLKK0mS7bffPt27d2+0ogAAgObjjDPOyOLFi/P1r3896623XjbYYINa/U899VSRKgMAANZGDQ423n777Xz3u9/N3/72t7Rt2zZJMn/+/PTs2TNXXHFFPvGJTzR6kQAAwLrr7LPPLnYJAABACWlwsHHOOedk6dKlefDBB7PddtslSV599dWcffbZOeecc3LLLbc0epEAAMC6a8CAAcUuAQAAKCENXhTj6aefzvnnn18TaiTJdtttl+9///t55plnGrU4AACgeXjjjTdyxRVX5Lvf/W5mzZqVJHnsscfy8ssvF7kyAABgbdPgYGOzzTbL0qVLl2svFArp3LlzoxQFAAA0H0899VT233//TJ48Ob/73e+yaNGiJMmLL76Yq6++usjVAQAAa5sGBxvf+9738oMf/CDPPfdcTdtzzz2Xiy66KGeccUajFgcAAKz7Lr/88px88sm59dZbs95669W077777vn73/9evMKot4qK8rRoUfuf8vKyYpcFAMA6qsFrbJx11llZvHhxhgwZkoqKiiRJVVVVKioqcvbZZ9da+O+pp55qvEoBAIB10ksvvZTLLrtsufZNNtkkc+bMKUJF1FenNuunqlCdtm1bLde3tKqQeXMXpVCoLkJlAACsyxocbHw4uAAAAPi4Ntpoo8ycOTNbbbVVrfapU6dm0003LVJV1EfbVi1SUV6Wk8ZNyrQZC2rau3Ruk9EH9Ux5eZlgAwCARtfgYGPAgAFrog4AAKCZ2m+//XLZZZdl9OjRKSsrS6FQyLPPPptLLrkkBx54YLHLox6mzViQKW/NL3YZAAA0E/UKNhYsWJA2bdrU/PvKLNsOAACgPk455ZRccMEF+cIXvpCqqqrst99+qaqqyte+9rV8+9vfLnZ5AADAWqZewcZnP/vZPPHEE+nQoUN22223lJUtvwhcdXV1ysrKMnXq1EYvEgAAWHe1bNkyF154YUaMGJGXXnopCxcuzE477ZRtt9222KUBAABroXoFG2PGjEm7du2SJD/72c/WaEEAAEDztNlmm2WzzTZLVVVVXnrppcybN69mHNJU5s+fnyOOOCJVVVWpqqrKsGHDMmTIkCatAQAAWLl6BRuf+9zn6vx3AACAj+uiiy7KDjvskMGDB6eqqipDhw7NpEmT0qpVq1x//fXp1atXk9XSunXrjB07Nq1atcqiRYvyta99LXvvvXfat2/fZDUAAAArV69g44UXXqj3Abt27braxQAAAM3Pb3/72xxwwAFJkkceeSRvvvlmfvOb3+SXv/xlrrjiiowbN67JaqmoqEirVq2SJEuWLEnywbS7AADA2qNewcaBBx6YsrKyVV7QW2MDAABoqDlz5qRTp05Jksceeyz77rtvPvnJT2bQoEENngr36aefzi233JLnn38+M2fOzLXXXpsvf/nLtbYZO3ZsbrnllsycOTNdu3bN//3f/6VHjx41/fPnz8/QoUPz+uuv5/TTT88mm2zy8U8SAABoNPUKNv7whz+s6ToAAIBmqmPHjpk2bVo6deqUxx9/POeff36S5H//+18qKioadKxFixalsrIygwYNygknnLBc/4MPPphRo0Zl5MiR2WWXXTJmzJgMHz48Dz30UDp06JAkadu2be6///68++67OeGEE/KVr3wlHTt2/NjnCQAANI56BRtbbLHFmq4DAABopgYOHJiTTz45nTp1SllZWXr37p0k+cc//pHtttuuQcfq27dv+vbtu8L+W2+9NUOGDMmgQYOSJCNHjsyjjz6ae++9N8ccc0ytbTt27JiuXbvmmWeeyVe/+tUGnhUAALCm1CvY+LAbbrghHTp0yDe+8Y1a7ffcc09mz5693GAAAABgZb7zne/kU5/6VN5+++189atfTcuWLZN8sN7F0Ucf3Wjvs2TJkkyZMiXHHntsTVt5eXl69+6dSZMmJUnefffdbLDBBmnTpk3++9//5plnnsnBBx/caDUAAAAfX4ODjbvuuiuXXXbZcu2f+tSncsoppwg2AACABqvriYgBAwY06nvMmTMnVVVVNVNOLdOhQ4e8+uqrSZK33nor//d//5fq6upUV1dn6NChqaysbNQ6AACAj6fBwcbMmTNrFvb7sE022SQzZ85slKIAAIDm45prrllpf11rZawpPXr0yC9/+csmez8AAKDhGhxsbLbZZvnb3/6Wrbbaqlb7s88+m86dOzdaYQAAQPPw8MMP13q9dOnSTJ8+PRUVFdl6660bLdho3759KioqMmvWrFrts2bNsjg4AACUkAYHG4MHD84Pf/jDLF26NLvvvnuSZOLEifnRj36Uo446qtELBAAA1m0TJkxYrm3BggU588wz8+Uvf7nR3qdly5bZeeedM3HixJrjFgqFTJw4MUOHDm209wEAANasBgcb3/rWtzJ37tyMHDky77//fpJk/fXXz7e+9a1ai/ABAACsrjZt2uQ73/lOvv3tb+fAAw+s934LFy7MG2+8UfN6+vTpmTp1atq1a5fNN988Rx55ZM4444x069YtPXr0yJgxY7J48eIMHDhwDZwFAACwJjQ42CgrK8v3vve9HH/88XnllVeywQYbZNttt03Lli3XRH0AAEAz9d///jf//e9/G7TP888/n2HDhtW8HjVqVJIPFiK/+OKL079//8yePTtXXXVVZs6cmR133DE333yzqagAAKCENDjYWKZ169bp0aNHY9YCAAA0Qz/72c9qva6urs7MmTPzy1/+MnvttVeDjtWrV6+8+OKLK91m6NChpp4CAIASttrBBgAAQGO47bbbar0uLy/PJptskgEDBuSYY44pTlEAAMBaS7ABAAAU1R//+Mdil8AaUlFRXmd7oVCdQqG6iasBAGBdIdgAAACgUXVqs36qCtVp27ZVnf1LqwqZN3eRcAMAgNVSr2BjwIABue2229KuXbtcc801GT58eFq1qvsCFQAAgOatbasWqSgvy0njJmXajAW1+rp0bpPRB/VMeXmZYAMAgNVSr2DjlVdeyeLFi9OuXbtce+21OfjggwUbAAAArNS0GQsy5a35xS4DAIB1TL2CjR133DFnnXVWPvOZz6S6ujq33HJLNtxwwzq3PeGEExq1QAAAAAAAgGXqFWyMGjUqV199dR555JGUlZXl8ccfT0VFxXLblZWVCTYAAIBVMt0tAACwuuoVbGy33Xa54oorkiRdu3bNbbfdlg4dOqzRwgAAgHWX6W4BAIDVVa9g48NeeOGFNVEHAADQjJjuFgAAWF0NDjaS5I033siYMWPyyiuvJEm6dOmSYcOGZeutt27U4gAAgHWT6W4BAIDV1eBg4/HHH8+3v/3t7Ljjjtl1112TJH/729+y33775frrr8+ee+7Z6EUCAADrFtPdAgAAq6vBwcbll1+eI444Iqeddlqt9ssuuyyXXXaZYAMAAGgQ090CAAAN0eBg45VXXsmVV165XPugQYMyZsyYxqgJAABoZkx3CwAA1Fd5Q3fYZJNNMnXq1OXap06d6tFxAACgwR5//PH0798/kydPTmVlZSorK/OPf/wj++23X/785z8XuzwAAGAt0+AnNgYPHpxzzz03b775Zq01Nm666aYcccQRjV0fAACwjjPdLQAA0BANDjZGjBiRNm3a5Kc//Wl+/OMfJ0k6d+6cE044IcOGDWv0AgEAgHWb6W4BAICGaHCwUVZWliOOOCJHHHFEFixYkCRp06ZNoxcGAAA0D8umu912221rtZvuFgAAqEuDg40PE2gAAAAfl+lum6eKiuWXfCwUqlMoVBehGgAASsnHCjYAAAA+LtPdNi+d2qyfqkJ12rZttVzf0qpC5s1dJNwAAGClBBsAAEBRme62eWnbqkUqysty0rhJmTZjQU17l85tMvqgnikvLxNsAACwUoINAABgrSHQaD6mzViQKW/NL3YZAACUoOUnNV2J999/P4cffnhee+21NVQOAAAAAADAijUo2FhvvfXy4osvrqlaAAAAAAAAVqpBwUaSHHDAAbnnnnvWRC0AAAAAAAAr1eA1NqqqqnLnnXfmL3/5S7p165ZWrVrV6j/rrLMarTgAAGDd9v777+db3/pWRo4cmW233bbY5QAAACWgwcHGSy+9lJ122ilJ8q9//atWX1lZWeNUBQAANAumuwUAABqqwcHG7bffvibqAAAAmqll092edtppxS4FAAAoAQ0ONpZ5/fXX88Ybb+Szn/1sNthgg1RXV3tiAwAAaDDT3QIAAA3R4GBjzpw5Ofnkk/Pkk0+mrKwsv/vd77LVVlvl7LPPTrt27XLmmWeuiToBAIB1lOlu+bCKivI62wuF6hQK1U1cDQAAa6MGBxujRo1KixYt8uijj2bfffetae/fv38uvvhiwQYAANAgprslSTq1WT9Vheq0bduqzv6lVYXMm7tIuAEAQMODjT//+c+55ZZb8olPfKJW+7bbbpu33nqr0QoDAACaF9PdNm9tW7VIRXlZTho3KdNmLKjV16Vzm4w+qGfKy8sEGwAANDzYWLRoUTbYYIPl2ufOnZuWLVs2SlEAAEDzYbpbPmzajAWZ8tb8YpcBAMBarO7JS1dit912y4QJE2q1FQqF3HzzzenVq1dj1QUAADQTH57u9sM3UfXv3z+PP/54ESsDAADWRg1+YuN73/tejjjiiDz//PN5//3386Mf/SjTpk3LvHnzcuedd66JGgEAgHWY6W4BAICGaHCwscMOO+S3v/1t7rjjjrRu3TqLFi3K3nvvnUMPPTSdO3deEzUCAADrMNPdAgAADdHgYCNJNtpoo3z7299u7FoAAIBmaNl0tyeffHJNm+luAQCAFVmtYGPevHm555578sorryRJunTpkoEDB2bjjTduzNoAAIBmwHS3AABAQzR48fCnn346/fr1y+2335758+dn/vz5uf322/OlL30pTz/99JqoEQAAWIctm+72M5/5TL70pS9l8eLF2XvvvTN+/PhsvfXWxS4PAABYyzT4iY0LLrgg/fv3z/nnn5+KiookSVVVVUaOHJkLLrggDzzwQKMXCQAArNtMdwsAANRXg4ON119/PaNHj64JNZKkoqIiRxxxRCZMmNCYtQEAAM2E6W4BAID6avBUVDvttFNeffXV5dpfffXVdO3atVGKAgAAmg/T3QIAAA1Rryc2XnjhhZp/HzZsWC666KK8/vrr2WWXXZIk//jHPzJ27Nicdtppa6ZKAABgnWW6WwAAoCHqFWwceOCBKSsrS3V1dU3bj370o+W2O/XUU9O/f//Gqw4AAFjnme4WAABoiHoFG3/4wx/WdB0AAEAztWy62+22265Wu+luAQCAutQr2Nhiiy3WdB0AAEAzYrpbAABgddUr2Piod955J88++2xmz56dQqFQq2/YsGGNUhgAALDuMt0tq6OiorzO9kKhOoVCdZ19AACsexocbNx3330599xzs95666V9+/a1+srKygQbAADAKpnulobo1Gb9VBWq07Ztqzr7l1YVMm/uIuEGAEAz0eBgY/To0RkxYkSOPfbYlJfXfbcMAADAypjuloZo26pFKsrLctK4SZk2Y0Gtvi6d22T0QT1TXl4m2AAAaCYaHGz873//y3777SfUAAAAGo3pbqmPaTMWZMpb84tdBgAARdbgYGPQoEF56KGHcswxx6yJegAAgGbGdLcAAEBDNDjYOPXUU3Psscfm8ccfzw477JAWLWof4qyzzmq04gAAgHWf6W4BAICGaHCwccMNN+SJJ57IJz/5yeX6ysrKGqUoAACg+TDdLQAA0BANDjZuvfXW/PCHP8zAgQPXRD0AAEAzY7pbAACgIRocbLRs2TK77rrrmqgFAABohkx3CwAANESDg41hw4bljjvuyPe///01UQ8AANDMmO6WxlBRsfxUZoVCdQqF6iJUAwDAmtTgYGPy5Mn561//mkceeSSf+tSnlrub6pprrmm04gAAgHWf6W75ODq1WT9Vheq0bdtqub6lVYXMm7tIuAEAsI5pcLDRtm3b7LPPPmuiFgAAoBky3S0fR9tWLVJRXpaTxk3KtBkLatq7dG6T0Qf1THl5mWADAGAd0+BgY9SoUWuiDgAAoJky3S2NYdqMBZny1vxilwEAQBNocLABAADQmEx3CwAANESDg41+/fqtdAG/P/zhDx+rIAAAoHkx3S0AANAQDQ42Dj/88Fqvly5dmn/+85954oknMnz48EYrDAAAaB5MdwsAADTExw42lhk7dmyef/75j10QAAAAAADAijTaGht77bVXLr/8cndbAQAADWK6WwAAoCEaLdh46KGHsvHGGzfW4QAAgGbCdLcAAEBDNDjYOPDAA2vdTVVdXZ133303s2fPznnnndeoxQEAAOs+090CAAAN0eBg48tf/nKt12VlZdlkk03yuc99Lttvv32jFQYAADRvprsFAADq0uBg44QTTlgTdQAAANRiulsaQ0VFeZ3thUJ1CoXqJq4GAIDG0GhrbAAAAKwO092yJnRqs36qCtVp27ZVnf1LqwqZN3eRcAMAoATVO9jo2rVrrcFGXcrKyvLPf/7zYxcFAAA0H6a7ZU1o26pFKsrLctK4SZk2Y0Gtvi6d22T0QT1TXl4m2AAAKEH1DjauueaaFfb9/e9/z+23355CodAoRQEAAM2H6W5Zk6bNWJApb80vdhkAADSiegcbH72LKkleffXVXH755XnkkUey//7758QTT2zU4gAAAAAAAD5stdbYeOedd3L11VdnwoQJ6dOnTyZMmJAddtihsWsDAADWYaa7BQAAVkeDgo3//ve/uf7663PHHXdkxx13zG233ZbddtttTdUGAACsw0x3CwAArI56Bxs33XRTbr755nTs2DGXX355nVNTAQAA1NfaON3tf/7zn5x++umZNWtWKioqcvzxx2ffffdt0hoAAICVq3ewcfnll2eDDTbI1ltvnQkTJmTChAl1breyu64AAADqsrZMd1tRUZGzzz47O+64Y2bOnJmBAwemb9++2XDDDZu8Fta8ioryOtsLheoUCtVNXA0AAPVV72DjwAMPXOX8twAAAA2xtk1327lz53Tu3DlJ0qlTp7Rv3z7z5s0TbKxjOrVZP1WF6rRt26rO/qVVhcybu0i4AQCwlqp3sHHxxRevyToAAIBmZk1Md/v000/nlltuyfPPP5+ZM2fm2muvXe64Y8eOzS233JKZM2ema9eu+b//+7/06NFjuWM9//zzKRQK2WyzzT52Xaxd2rZqkYryspw0blKmzVhQq69L5zYZfVDPlJeXCTYAANZSDVo8HAAAoLGsieluFy1alMrKygwaNCgnnHDCcv0PPvhgRo0alZEjR2aXXXbJmDFjMnz48Dz00EPp0KFDzXZz587NGWeckR/84AcNPi9Kx7QZCzLlrfnFLgMAgAYSbAAAAEWxJqa77du3b/r27bvC/ltvvTVDhgzJoEGDkiQjR47Mo48+mnvvvTfHHHNMkmTJkiUZMWJEjj766Oy6666NWh8AAPDxCTYAAICiaOrpbpcsWZIpU6bk2GOPrWkrLy9P7969M2nSpCRJdXV1zjzzzOy+++458MADm7Q+AACgfsqLXQAAAEBTmDNnTqqqqmpNOZUkHTp0yLvvvpskefbZZ/Pggw/m4Ycfzte//vV8/etfz4svvliMcgEAgBXwxAYAAMD/s9tuu+WFF14odhkAAMBKeGIDAABoFtq3b5+KiorMmjWrVvusWbPSsWPHIlUFAAA0lGADAABoFlq2bJmdd945EydOrGkrFAqZOHFievbsWcTKAACAhjAVFQAAsM5YuHBh3njjjZrX06dPz9SpU9OuXbtsvvnmOfLII3PGGWekW7du6dGjR8aMGZPFixdn4MCBRawaAABoCMEGAACwznj++eczbNiwmtejRo1KkgwYMCAXX3xx+vfvn9mzZ+eqq67KzJkzs+OOO+bmm282FRUAAJQQwQYAALDO6NWrV1588cWVbjN06NAMHTq0iSoCAAAamzU2AAAAAACAkiHYAAAAAAAASoZgAwAAAAAAKBmCDQAAAAAAoGRYPBwAAAA+oqJi+fsAC4XqFArVRagGAIAPE2wAAADA/9OpzfqpKlSnbdtWy/UtrSpk3txFwg0AgCITbAAAAMD/07ZVi1SUl+WkcZMybcaCmvYundtk9EE9U15eJtgAACgywQYAAAB8xLQZCzLlrfnFLgMAgDoINgAAAKCe6lp7I7H+BgBAUxJsAAAAwCqsbO2NxPobAABNSbABAAAAq7CitTcS628AADQ1wQYAAADUk7U3AACKr+7JQQEAAAAAANZCgg0AAAAAAKBkCDYAAAAAAICSIdgAAAAAAABKhmADAAAAAAAoGYINAAAAAACgZLQodgEAAACwLqioqPvewUKhOoVCdRNXAwCw7hJsAAAAwMfQqc36qSpUp23bVnX2L60qZN7cRcINAIBGItgAAACAj6FtqxapKC/LSeMmZdqMBbX6unRuk9EH9Ux5eZlgAwCgkQg2AAAAoBFMm7EgU96aX+wyAADWeRYPBwAAAAAASoZgAwAAAAAAKBmmogIAAIA1rKJi+fsKC4Vq624AAKwGwQYAAACsIZ3arJ+qQnXatm21XN/SqkLmzV0k3AAAaCDBBgAAAKwhbVu1SEV5WU4aNynTZiyoae/SuU1GH9Qz5eVlgg0AgAYSbAAAAMAaNm3Ggkx5a36xywAAWCdYPBwAAAAAACgZgg0AAAAAAKBkCDYAAAAAAICSIdgAAAAAAABKhmADAAAAAAAoGS2KXQAAAAA0VxUVdd9vWChUp1CobuJqAABKg2ADAAAAmlinNuunqlCdtm1b1dm/tKqQeXMXCTcAAOog2AAAAIAm1rZVi1SUl+WkcZMybcaCWn1dOrfJ6IN6pry8TLABAFAHwQYAAAAUybQZCzLlrfnFLgMAoKRYPBwAAAAAACgZgg0AAAAAAKBkCDYAAAAAAICSIdgAAAAAAABKhmADAAAAAAAoGYINAAAAAACgZAg2AAAAAACAkiHYAAAAAAAASoZgAwAAAAAAKBktil0AAAAAsLyKiuXvRSwUqlMoVNe5fXl5WcrLy+rsW9l+AAClRrABAAAAa5FObdZPVaE6bdu2Wq5vaVUh8+YuWi6kKC8vS7uNN0yLOsKQle0HAFCKBBsAAACwFmnbqkUqysty0rhJmTZjQU17l85tMvqgnikvL6sz2GhRUb7cPqvaDwCgFAk2AAAAYC00bcaCTHlr/hrfBwCg1Fg8HAAAAAAAKBmCDQAAAAAAoGQINgAAAAAAgJKxTqyx0a9fv7Ru3Trl5eVp27Ztbr/99mKXBAAAAAAArAHrRLCRJOPGjUvr1q2LXQYAAAAAALAGmYoKAAAAAAAoGUUPNp5++ukcd9xx6dOnTyorK/Pwww8vt83YsWPTr1+/dO/ePYMHD87kyZOX2+awww7LoEGDcv/99zdF2QAAAAAAQBEUPdhYtGhRKisrc95559XZ/+CDD2bUqFEZMWJExo8fn65du2b48OGZNWtWzTZ33nln7rvvvlx33XW54YYb8sILLzRV+QAAAAAAQBMqerDRt2/fnHLKKdl7773r7L/11lszZMiQDBo0KF26dMnIkSOzwQYb5N57763ZZtNNN02SdO7cOXvttVf++c9/NkntAAAAAABA0yp6sLEyS5YsyZQpU9K7d++atvLy8vTu3TuTJk1K8sETHwsWLEiSLFy4ME8++WS6dOlSlHoBAAAAAIA1q0WxC1iZOXPmpKqqKh06dKjV3qFDh7z66qtJklmzZmXEiBFJkkKhkMGDB6dHjx5NXisAAAAAALDmrdXBRn1stdVWFgwHAAAAAIBmYq2eiqp9+/apqKiotVB48sFTGh07dixSVQAAAAAAQLGs1cFGy5Yts/POO2fixIk1bYVCIRMnTkzPnj2LWBkAAAAAAFAMRZ+KauHChXnjjTdqXk+fPj1Tp05Nu3btsvnmm+fII4/MGWeckW7duqVHjx4ZM2ZMFi9enIEDBxaxagAAAAAAoBiKHmw8//zzGTZsWM3rUaNGJUkGDBiQiy++OP3798/s2bNz1VVXZebMmdlxxx1z8803m4oKAAAAAACaoaIHG7169cqLL7640m2GDh2aoUOHNlFFAAAAsPaqqFh+Vum62gAA1lVFDzYAAACAVevUZv1UFarTtm2rYpcCAFBUgg0AAAAoAW1btUhFeVlOGjcp02YsqNX3hcpO+d5XuhapMgCApiXYAAAAgBIybcaCTHlrfq227Tu1Xq1jlZeXpby8rM6+QqE6hUL1ah0XAGBNEmwAAABAM1ReXpZ2G2+YFitYn2NpVSHz5i4SbgAAax3BBgAAADRD5eVlaVFRXufUVl06t8nog3qmvLxMsAEArHUEGwAAANCM1TW1FQDA2qzu500BAAAAAADWQoINAACADxkxYkQ++9nP5sQTTyx2KQAAQB0EGwAAAB8ybNiwXHLJJcUuAwAAWAHBBgAAwIf06tUrrVu3LnYZAADACgg2AACAdcbTTz+d4447Ln369EllZWUefvjh5bYZO3Zs+vXrl+7du2fw4MGZPHlyESoFAABWl2ADAABYZyxatCiVlZU577zz6ux/8MEHM2rUqIwYMSLjx49P165dM3z48MyaNauJKwUAAFaXYAMAAFhn9O3bN6ecckr23nvvOvtvvfXWDBkyJIMGDUqXLl0ycuTIbLDBBrn33nubuFIAAGB1CTYAAIBmYcmSJZkyZUp69+5d01ZeXp7evXtn0qRJRawMAABoCMEGAADQLMyZMydVVVXp0KFDrfYOHTrk3XffrXl9xBFH5KSTTspjjz2WvfbaS+gBAABrmRbFLgAAAGBtcttttxW7BAAAYCUEGwAAQLPQvn37VFRULLdQ+KxZs9KxY8ciVQWlqby8LOXlZcu1FwrVKRSqi1ARANCcmIoKAABoFlq2bJmdd945EydOrGkrFAqZOHFievbsWcTKoLSUl5el3cYbpn371sv9027jDesMPAAAGpMnNgAAgHXGwoUL88Ybb9S8nj59eqZOnZp27dpl8803z5FHHpkzzjgj3bp1S48ePTJmzJgsXrw4AwcOLGLVUFrKy8vSoqI8J42blGkzFtS0d+ncJqMP6pny8jJPbQAAa5RgAwAAWGc8//zzGTZsWM3rUaNGJUkGDBiQiy++OP3798/s2bNz1VVXZebMmdlxxx1z8803m4oKVsO0GQsy5a35xS4DAGiGBBsAAMA6o1evXnnxxRdXus3QoUMzdOjQJqoI1h4VFeUrfQ0AUCoEGwAAALAO69Rm/VQVqtO2batilwIA0CgEGwAAALAOa9uqRSrKy5ZbE+MLlZ3yva90LWJlAACrR7ABAAAAzcBH18TYvlPrIlYDALD6TKgJAAAAAACUDMEGAAAAAABQMgQbAAAAAABAyRBsAAAAAAAAJUOwAQAAAAAAlAzBBgAAAAAAUDIEGwAAAAAAQMloUewCAAAAgHVHRUXd91AWCtUpFKqbuBoAYF0k2AAAAAA+tk5t1k9VoTpt27aqs39pVSHz5i4SbgAAH5tgAwAAAPjY2rZqkYryspw0blKmzVhQq69L5zYZfVDPlJeXCTYAgI9NsAEAAAA0mmkzFmTKW/OLXQYAsA6zeDgAAAAAAFAyBBsAAAAAAEDJEGwAAAAAAAAlwxobAAAAAE2kvLws5eVldfYVCtUWVweAehBsAAAAADSB8vKytNt4w7SoqHsCjaVVhcybu0i4AQCrINgAAAAAaALl5WVpUVGek8ZNyrQZC2r1dencJqMP6pny8jLBBgCsgmADAAAAoAlNm7EgU96aX+wyAKBkWTwcAAAAAAAoGYINAAAAAACgZAg2AAAAAACAkiHYAAAAAAAASoZgAwAAAAAAKBktil0AAAAAQEOVl5elvLxsufZCoTqFQnURKlr7rOgzSnxOAJQ2wQYAAABQUsrLy9Ju4w3TomL5iSiWVhUyb+6iZv9H+5V9RonPCYDSJtgAAAAASkp5eVlaVJTnpHGTMm3Ggpr2Lp3bZPRBPVNeXtbs/2C/os8o8TkBUPoEGwAAAEBJmjZjQaa8Nb/YZazVfEYArIssHg4AAAAAAJQMwQYAAAAAAFAyBBsAAAAAAEDJEGwAAAAAAAAlQ7ABAAAAAACUDMEGAAAAAABQMgQbAAAAAABAyWhR7AIAAACAtVNFxfL3Q9bV9nGOlySFQnUKherVPm6x3oemV15elvLysjr7fL8AzYdgAwAAAKilU5v1U1WoTtu2rZrkeEurCpk3d9HH/qN0U70PxVFeXpZ2G2+YFisIrny/AM2HYAMAAACopW2rFqkoL8tJ4yZl2owFtfq+UNkp3/tK10Y7XpfObTL6oJ4pLy/72H+Qbqr3oTjKy8vSoqLc9wuAYAMAAACo27QZCzLlrfm12rbv1LpRj7cmNNX7UBy+XwAsHg4AAAAAAJQMwQYAAAAAAFAyBBsAAAAAAEDJEGwAAAAAAAAlQ7ABAAAAAACUDMEGAAAAAABQMgQbAAAAAABAyRBsAAAAAAAAJUOwAQAAAAAAlAzBBgAAAAAAUDIEGwAAAAAAQMloUewCAAAAAJpKRUXd93gWCtUpFKqXay8vL0t5eVmD9lnRfit677XJ6p4vADQlwQYAAACwzuvUZv1UFarTtm2rOvuXVhUyb+6iWn+4Ly8vS7uNN0yLFQQSde1Tn/3WVqt7vgDQ1AQbAAAAwDqvbasWqSgvy0njJmXajAW1+rp0bpPRB/VMeXnZcsFGi4ryBu2zsv2+UNkp3/tK1zVwdo1jdc8XAJqaYAMAAABoNqbNWJA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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_clip_basic_distributions(interesting_clips)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:58.153310Z", "start_time": "2024-05-26T00:24:57.858363Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:25:22.677748Z", "iopub.status.busy": "2024-09-14T21:25:22.677568Z", "iopub.status.idle": "2024-09-14T21:25:22.701168Z" } }, "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:58.890520Z", "start_time": "2024-05-26T00:24:58.154350Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:25:22.702029Z", "iopub.status.busy": "2024-09-14T21:25:22.701869Z", "iopub.status.idle": "2024-09-14T21:26:22.814526Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of clips in interesting_clips:\n", "1,488,954\n", "Number of clips in user_interesting_clips:\n", "1,380,210\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 0.34% ± 0.01%\n", "chirp-v3p5-engine-evict 5.39% ± 0.02%\n", "chirp-v3p5-engine-ft-1 5.08% ± 0.25%\n", "chirp-v3p5-engine-oci 5.52% ± 0.05%\n", "chirp-v3p5-engine-s-25 6.57% ± 0.03%\n", "chirp-v3p5-engine-s-25-b-1 5.82% ± 0.13%\n", "chirp-v3p5-engine-s-25-b-15 6.12% ± 0.11%\n", "chirp-v3p5-engine-s-25-b-2 6.03% ± 0.06%\n", "chirp-v3p5-engine-s-25-b-4 5.71% ± 0.12%\n", "chirp-v3p5-engine-s-8 5.24% ± 0.01%\n", "chirp-v3p5-engine-short 0.52% ± 0.52%\n", "chirp-v3p5-engine-t-2 nan% ± nan%\n", "chirp-v3p5-engine-t-3 9.14% ± 0.03%\n", "chirp-v3p5-engine-t-3-13-b-1 6.16% ± 0.08%\n", "chirp-v3p5-engine-t-3-15-b-1 6.10% ± 0.07%\n", "chirp-v3p5-engine-t-4-0 10.44% ± 0.29%\n", "chirp-v3p5-engine-upload-4 7.37% ± 0.03%\n" ] } ], "source": [ "# subselect interesting clips\n", "interesting_clips_masks = (interesting_clips[\"model_name\"].str.contains(\"v3p5\")) & (\n", " interesting_clips[\"reaction_play_count\"] > 0\n", ")\n", "# make sure we have pairs\n", "extra_compare_mask = interesting_clips[interesting_clips_masks][\"request_id\"].isin(\n", " interesting_clips[interesting_clips_masks][\"request_id\"]\n", " .value_counts()\n", " .index[interesting_clips[interesting_clips_masks][\"request_id\"].value_counts() == 2]\n", ")\n", "user_intersting_clips = interesting_clips[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_name\"].value_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_name\"].value_counts()[model]\n", " uncertainty = (ratio * (1 - ratio) / n) ** 0.5\n", " print(f\"{model:<30} {ratio:.2%} ± {uncertainty:.2%}\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:59.204547Z", "start_time": "2024-05-26T00:24:58.891851Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:26:22.815612Z", "iopub.status.busy": "2024-09-14T21:26:22.815423Z", "iopub.status.idle": "2024-09-14T21:26:24.315598Z" } }, "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:24:59.207707Z", "start_time": "2024-05-26T00:24:59.205659Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:26:24.316801Z", "iopub.status.busy": "2024-09-14T21:26:24.316373Z", "iopub.status.idle": "2024-09-14T21:26:25.415007Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Summary of user_interesting_clips:\n", "Total requests: 1,380,210\n", "Unique clips: 690,105\n", "Fraction of total clips: 10.19%\n", "Time Validation:\n", "Earliest timestamp: 2024-09-12 03:00:00.297335+00:00\n", "Latest timestamp: 2024-09-14 20:17:24.044828+00:00\n", "Earliest timestamp: 2024-09-12 03:00:04.306522+00:00\n", "Latest timestamp: 2024-09-14 20:17:05.157224+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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:00.484734Z", "start_time": "2024-05-26T00:25:00.377280Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:26:25.416050Z", "iopub.status.busy": "2024-09-14T21:26:25.415870Z", "iopub.status.idle": "2024-09-14T21:26:25.439548Z" } }, "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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:00.893917Z", "start_time": "2024-05-26T00:25:00.485775Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:26:25.440476Z", "iopub.status.busy": "2024-09-14T21:26:25.440317Z", "iopub.status.idle": "2024-09-14T21:26:35.147455Z" } }, "outputs": [], "source": [ "user_compare_mask = (\n", " (user_intersting_clips[\"created_at\"] >= cutoff_date)\n", " # & (\n", " # (user_intersting_clips[\"model_name\"].str.startswith(\"chirp-v3p5-engine-t\"))\n", " # | (user_intersting_clips[\"model_name\"].str.startswith(\"chirp-v3p5-engine-s\"))\n", " # )\n", " # & (user_intersting_clips[\"is_pro_user\"])\n", " # & (~user_intersting_clips[\"is_onebox\"])\n", ")\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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:01.140472Z", "start_time": "2024-05-26T00:25:00.895575Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:26:35.148774Z", "iopub.status.busy": "2024-09-14T21:26:35.148596Z", "iopub.status.idle": "2024-09-14T21:26:57.308702Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(1380210, 50)\n", "Model Name Value Counts and Fractions:\n", "chirp-v3p5-engine-s-8: 842742 (61.06%)\n", "chirp-v3p5-engine-evict: 142800 (10.35%)\n", "chirp-v3p5-engine-upload-4: 104746 (7.59%)\n", "chirp-v3p5-engine-t-3: 90693 (6.57%)\n", "chirp-v3p5-engine-s-25: 61832 (4.48%)\n", "chirp-v3p5-engine-oci: 25625 (1.86%)\n", "chirp-v3p5-engine-s-25-b-2: 17513 (1.27%)\n", "chirp-v3p5-engine-t-3-15-b-1: 16761 (1.21%)\n", "chirp-v3p5-engine-t-3-13-b-1: 13232 (0.96%)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4: 7603 (0.55%)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4: 7508 (0.54%)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3: 7469 (0.54%)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4: 7409 (0.54%)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 7254 (0.53%)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 7224 (0.52%)\n", "chirp-v3p5-engine-s-25-b-15: 5380 (0.39%)\n", "chirp-v3p5-engine-s-25-b-4: 4644 (0.34%)\n", "chirp-v3p5-engine-s-25-b-1: 3503 (0.25%)\n", "chirp-v3p5-engine-b: 3039 (0.22%)\n", "chirp-v3p5-engine-t-4-0: 2405 (0.17%)\n", "chirp-v3p5-engine-ft-1: 786 (0.06%)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_2: 24 (0.00%)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2: 15 (0.00%)\n", "chirp-v3p5-engine-short: 2 (0.00%)\n", "chirp-v3p5-engine-t-2: 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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:02.009450Z", "start_time": "2024-05-26T00:25:01.523515Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:26:57.309875Z", "iopub.status.busy": "2024-09-14T21:26:57.309691Z", "iopub.status.idle": "2024-09-14T21:27:07.994989Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "len pos models: 690105\n", "differing counts: 340873\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, counts 1519\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-t-2, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-evict_win_over_chirp-v3p5-engine-evict, win ratio 1.000, counts 213\n", "chirp-v3p5-engine-evict_win_over_chirp-v3p5-engine-s-8, win ratio 0.501, counts 71326\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, counts 393\n", "chirp-v3p5-engine-oci_win_over_chirp-v3p5-engine-oci, win ratio 1.000, counts 21\n", "chirp-v3p5-engine-oci_win_over_chirp-v3p5-engine-s-8, win ratio 0.494, counts 12649\n", "chirp-v3p5-engine-s-25-b-15_win_over_chirp-v3p5-engine-s-25, win ratio 0.499, counts 2684\n", "chirp-v3p5-engine-s-25-b-1_win_over_chirp-v3p5-engine-s-25, win ratio 0.502, counts 1760\n", "chirp-v3p5-engine-s-25-b-2_win_over_chirp-v3p5-engine-s-25, win ratio 0.497, counts 8695\n", "chirp-v3p5-engine-s-25-b-2_win_over_chirp-v3p5-engine-s-25-b-2, win ratio 1.000, counts 4\n", "chirp-v3p5-engine-s-25-b-4_win_over_chirp-v3p5-engine-s-25, win ratio 0.464, counts 2155\n", "chirp-v3p5-engine-s-25-b-4_win_over_chirp-v3p5-engine-s-25-b-4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25, win ratio 1.000, counts 9\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-1, win ratio 0.498, counts 1743\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-15, win ratio 0.501, counts 2696\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-2, win ratio 0.503, counts 8810\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-4, win ratio 0.536, counts 2487\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-8, win ratio 0.588, counts 18114\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-evict, win ratio 0.499, counts 71048\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-oci, win ratio 0.506, counts 12934\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-25, win ratio 0.412, counts 12670\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, counts 289900\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3, win ratio 0.542, counts 18539\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3-13-b-1, win ratio 0.534, counts 7061\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3-15-b-1, win ratio 0.538, counts 9013\n", "chirp-v3p5-engine-short_win_over_chirp-v3p5-engine-short, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3-13-b-1_win_over_chirp-v3p5-engine-s-8, win ratio 0.466, counts 6167\n", "chirp-v3p5-engine-t-3-13-b-1_win_over_chirp-v3p5-engine-t-3-13-b-1, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3-15-b-1_win_over_chirp-v3p5-engine-s-8, win ratio 0.462, counts 7744\n", "chirp-v3p5-engine-t-3-15-b-1_win_over_chirp-v3p5-engine-t-3-15-b-1, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.515, counts 3848\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.480, counts 3645\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-3, win ratio 0.458, counts 11\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.522, counts 3773\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.505, counts 3739\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-3, win ratio 0.667, counts 10\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.533, counts 3868\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_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_s_max_t_12_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.522, counts 3917\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-s-8, win ratio 0.458, counts 15677\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 4790\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_3, win ratio 0.485, counts 3620\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_4, win ratio 0.520, counts 3955\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_2, win ratio 0.542, counts 13\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_3, win ratio 0.478, counts 3450\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 0.495, counts 3665\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_2, win ratio 0.333, counts 5\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_3, win ratio 0.467, counts 3383\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_4, win ratio 0.478, counts 3590\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-0, win ratio 0.509, counts 1224\n", "chirp-v3p5-engine-t-4-0_win_over_chirp-v3p5-engine-t-3, win ratio 0.491, counts 1181\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, counts 52373\n", "tournament players: ['chirp-v3p5-engine-b', 'chirp-v3p5-engine-evict', 'chirp-v3p5-engine-oci', 'chirp-v3p5-engine-s-25', 'chirp-v3p5-engine-s-25-b-1', 'chirp-v3p5-engine-s-25-b-15', 'chirp-v3p5-engine-s-25-b-2', 'chirp-v3p5-engine-s-25-b-4', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-2', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3-13-b-1', 'chirp-v3p5-engine-t-3-15-b-1', 'chirp-v3p5-engine-t-3_s_30_t_10_tag_3', 'chirp-v3p5-engine-t-3_s_30_t_10_tag_4', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_4', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_4', 'chirp-v3p5-engine-t-4-0']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 365.80it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-b: 1000.2, (1000, 1001)\n", "chirp-v3p5-engine-evict: 997.6, (995, 1001)\n", "chirp-v3p5-engine-oci: 992.1, (988, 998)\n", "chirp-v3p5-engine-s-25: 1058.9, (1056, 1064)\n", "chirp-v3p5-engine-s-25-b-1: 1058.8, (1048, 1072)\n", "chirp-v3p5-engine-s-25-b-15: 1062.3, (1050, 1070)\n", "chirp-v3p5-engine-s-25-b-2: 1055.8, (1051, 1063)\n", "chirp-v3p5-engine-s-25-b-4: 1033.5, (1024, 1046)\n", "chirp-v3p5-engine-s-8: 996.8, (994, 1000)\n", "chirp-v3p5-engine-t-2: 999.8, (999, 1000)\n", "chirp-v3p5-engine-t-3: 968.0, (965, 971)\n", "chirp-v3p5-engine-t-3-13-b-1: 973.4, (968, 980)\n", "chirp-v3p5-engine-t-3-15-b-1: 970.5, (965, 976)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3: 978.5, (970, 986)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4: 952.1, (946, 961)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_2: 999.2, (996, 1002)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 984.0, (976, 992)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4: 970.9, (963, 979)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2: 1000.9, (999, 1003)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 992.4, (983, 1000)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4: 983.5, (975, 991)\n", "chirp-v3p5-engine-t-4-0: 970.6, (954, 982)\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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:02.332947Z", "start_time": "2024-05-26T00:25:02.010694Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:27:07.996093Z", "iopub.status.busy": "2024-09-14T21:27:07.995910Z", "iopub.status.idle": "2024-09-14T21:27:18.578366Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "first gen\n", "len pos models: 571127\n", "differing counts: 307067\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, counts 441\n", "chirp-v3p5-engine-evict_win_over_chirp-v3p5-engine-evict, win ratio 1.000, counts 175\n", "chirp-v3p5-engine-evict_win_over_chirp-v3p5-engine-s-8, win ratio 0.501, counts 63513\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, counts 334\n", "chirp-v3p5-engine-oci_win_over_chirp-v3p5-engine-oci, win ratio 1.000, counts 19\n", "chirp-v3p5-engine-oci_win_over_chirp-v3p5-engine-s-8, win ratio 0.495, counts 11300\n", "chirp-v3p5-engine-s-25-b-15_win_over_chirp-v3p5-engine-s-25, win ratio 0.499, counts 2399\n", "chirp-v3p5-engine-s-25-b-1_win_over_chirp-v3p5-engine-s-25, win ratio 0.500, counts 1575\n", "chirp-v3p5-engine-s-25-b-2_win_over_chirp-v3p5-engine-s-25, win ratio 0.495, counts 7835\n", "chirp-v3p5-engine-s-25-b-2_win_over_chirp-v3p5-engine-s-25-b-2, win ratio 1.000, counts 3\n", "chirp-v3p5-engine-s-25-b-4_win_over_chirp-v3p5-engine-s-25, win ratio 0.456, counts 1884\n", "chirp-v3p5-engine-s-25-b-4_win_over_chirp-v3p5-engine-s-25-b-4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25, win ratio 1.000, counts 7\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-1, win ratio 0.500, counts 1576\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-15, win ratio 0.501, counts 2404\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-2, win ratio 0.505, counts 7979\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-4, win ratio 0.544, counts 2252\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-8, win ratio 0.594, counts 16393\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-evict, win ratio 0.499, counts 63306\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-oci, win ratio 0.505, counts 11549\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-25, win ratio 0.406, counts 11201\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, counts 258552\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3, win ratio 0.550, counts 16824\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3-13-b-1, win ratio 0.540, counts 6427\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3-15-b-1, win ratio 0.544, counts 8143\n", "chirp-v3p5-engine-short_win_over_chirp-v3p5-engine-short, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3-13-b-1_win_over_chirp-v3p5-engine-s-8, win ratio 0.460, counts 5470\n", "chirp-v3p5-engine-t-3-13-b-1_win_over_chirp-v3p5-engine-t-3-13-b-1, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3-15-b-1_win_over_chirp-v3p5-engine-s-8, win ratio 0.456, counts 6814\n", "chirp-v3p5-engine-t-3-15-b-1_win_over_chirp-v3p5-engine-t-3-15-b-1, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.516, counts 3662\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.478, counts 3454\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-3, win ratio 0.474, counts 9\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.523, counts 3581\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.507, counts 3550\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-3, win ratio 0.615, counts 8\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.534, counts 3658\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_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_s_max_t_12_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.523, counts 3722\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-s-8, win ratio 0.450, counts 13773\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 4521\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_3, win ratio 0.484, counts 3437\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_4, win ratio 0.522, counts 3776\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_2, win ratio 0.526, counts 10\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_3, win ratio 0.477, counts 3269\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 0.493, counts 3454\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_2, win ratio 0.385, counts 5\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_3, win ratio 0.466, counts 3198\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_4, win ratio 0.477, counts 3396\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-0, win ratio 0.510, counts 1151\n", "chirp-v3p5-engine-t-4-0_win_over_chirp-v3p5-engine-t-3, win ratio 0.490, counts 1107\n", "tournament players: ['chirp-v3p5-engine-evict', 'chirp-v3p5-engine-oci', 'chirp-v3p5-engine-s-25', 'chirp-v3p5-engine-s-25-b-1', 'chirp-v3p5-engine-s-25-b-15', 'chirp-v3p5-engine-s-25-b-2', 'chirp-v3p5-engine-s-25-b-4', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3-13-b-1', 'chirp-v3p5-engine-t-3-15-b-1', 'chirp-v3p5-engine-t-3_s_30_t_10_tag_3', 'chirp-v3p5-engine-t-3_s_30_t_10_tag_4', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_4', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_4', 'chirp-v3p5-engine-t-4-0']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 454.64it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-evict: 1000.3, (997, 1003)\n", "chirp-v3p5-engine-oci: 995.8, (991, 1001)\n", "chirp-v3p5-engine-s-25: 1065.5, (1062, 1070)\n", "chirp-v3p5-engine-s-25-b-1: 1064.8, (1052, 1078)\n", "chirp-v3p5-engine-s-25-b-15: 1065.1, (1057, 1076)\n", "chirp-v3p5-engine-s-25-b-2: 1062.3, (1056, 1069)\n", "chirp-v3p5-engine-s-25-b-4: 1034.5, (1023, 1046)\n", "chirp-v3p5-engine-s-8: 999.7, (997, 1002)\n", "chirp-v3p5-engine-t-3: 965.1, (962, 968)\n", "chirp-v3p5-engine-t-3-13-b-1: 972.0, (965, 978)\n", "chirp-v3p5-engine-t-3-15-b-1: 968.9, (963, 975)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3: 975.7, (968, 983)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4: 950.3, (942, 957)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_2: 999.1, (996, 1002)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 980.4, (972, 989)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4: 969.7, (961, 977)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2: 1000.7, (998, 1003)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 987.6, (979, 996)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4: 980.5, (972, 988)\n", "chirp-v3p5-engine-t-4-0: 962.2, (948, 977)\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())\n", "].copy()\n", "if first_gen_slice_df.shape[0] > 0:\n", " get_preference_counts(\n", " user_intersting_clips_3p5[(user_intersting_clips_3p5[\"continued_parent\"].isna())],\n", " title_name=\"first generation\",\n", " )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:02.574659Z", "start_time": "2024-05-26T00:25:02.334214Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:27:18.579498Z", "iopub.status.busy": "2024-09-14T21:27:18.579307Z", "iopub.status.idle": "2024-09-14T21:27:23.034092Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is continue\n", "len pos models: 118978\n", "differing counts: 33806\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, counts 1078\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-t-2, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-evict_win_over_chirp-v3p5-engine-evict, win ratio 1.000, counts 38\n", "chirp-v3p5-engine-evict_win_over_chirp-v3p5-engine-s-8, win ratio 0.502, counts 7813\n", "chirp-v3p5-engine-ft-1_win_over_chirp-v3p5-engine-ft-1, win ratio 1.000, counts 59\n", "chirp-v3p5-engine-oci_win_over_chirp-v3p5-engine-oci, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-oci_win_over_chirp-v3p5-engine-s-8, win ratio 0.493, counts 1349\n", "chirp-v3p5-engine-s-25-b-15_win_over_chirp-v3p5-engine-s-25, win ratio 0.494, counts 285\n", "chirp-v3p5-engine-s-25-b-1_win_over_chirp-v3p5-engine-s-25, win ratio 0.526, counts 185\n", "chirp-v3p5-engine-s-25-b-2_win_over_chirp-v3p5-engine-s-25, win ratio 0.509, counts 860\n", "chirp-v3p5-engine-s-25-b-2_win_over_chirp-v3p5-engine-s-25-b-2, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-s-25-b-4_win_over_chirp-v3p5-engine-s-25, win ratio 0.536, counts 271\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-1, win ratio 0.474, counts 167\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-15, win ratio 0.506, counts 292\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-2, win ratio 0.491, counts 831\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-25-b-4, win ratio 0.464, counts 235\n", "chirp-v3p5-engine-s-25_win_over_chirp-v3p5-engine-s-8, win ratio 0.539, counts 1721\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-evict, win ratio 0.498, counts 7742\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-oci, win ratio 0.507, counts 1385\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-25, win ratio 0.461, counts 1469\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-s-8, win ratio 1.000, counts 31348\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3, win ratio 0.474, counts 1715\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3-13-b-1, win ratio 0.476, counts 634\n", "chirp-v3p5-engine-s-8_win_over_chirp-v3p5-engine-t-3-15-b-1, win ratio 0.483, counts 870\n", "chirp-v3p5-engine-t-3-13-b-1_win_over_chirp-v3p5-engine-s-8, win ratio 0.524, counts 697\n", "chirp-v3p5-engine-t-3-13-b-1_win_over_chirp-v3p5-engine-t-3-13-b-1, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3-15-b-1_win_over_chirp-v3p5-engine-s-8, win ratio 0.517, counts 930\n", "chirp-v3p5-engine-t-3-15-b-1_win_over_chirp-v3p5-engine-t-3-15-b-1, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.504, counts 186\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.516, counts 191\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-3, win ratio 0.400, counts 2\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.515, counts 192\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.472, counts 189\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.532, counts 210\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.501, counts 195\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-s-8, win ratio 0.526, counts 1904\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 269\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_3, win ratio 0.496, counts 183\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_4, win ratio 0.484, counts 179\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_2, win ratio 0.600, counts 3\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_3, win ratio 0.485, counts 181\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 0.527, counts 211\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_3, win ratio 0.468, counts 185\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_4, win ratio 0.499, counts 194\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-0, win ratio 0.497, counts 73\n", "chirp-v3p5-engine-t-4-0_win_over_chirp-v3p5-engine-t-3, win ratio 0.503, counts 74\n", "chirp-v3p5-engine-upload-4_win_over_chirp-v3p5-engine-upload-4, win ratio 1.000, counts 52373\n", "tournament players: ['chirp-v3p5-engine-b', 'chirp-v3p5-engine-evict', 'chirp-v3p5-engine-oci', 'chirp-v3p5-engine-s-25', 'chirp-v3p5-engine-s-25-b-1', 'chirp-v3p5-engine-s-25-b-15', 'chirp-v3p5-engine-s-25-b-2', 'chirp-v3p5-engine-s-25-b-4', 'chirp-v3p5-engine-s-8', 'chirp-v3p5-engine-t-2', 'chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3-13-b-1', 'chirp-v3p5-engine-t-3-15-b-1', 'chirp-v3p5-engine-t-3_s_30_t_10_tag_3', 'chirp-v3p5-engine-t-3_s_30_t_10_tag_4', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_4', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_4', 'chirp-v3p5-engine-t-4-0']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 394.44it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-b: 1001.4, (1000, 1017)\n", "chirp-v3p5-engine-evict: 979.5, (968, 991)\n", "chirp-v3p5-engine-oci: 973.4, (958, 990)\n", "chirp-v3p5-engine-s-25: 1005.1, (994, 1019)\n", "chirp-v3p5-engine-s-25-b-1: 1020.2, (989, 1062)\n", "chirp-v3p5-engine-s-25-b-15: 1001.2, (970, 1029)\n", "chirp-v3p5-engine-s-25-b-2: 1011.0, (990, 1031)\n", "chirp-v3p5-engine-s-25-b-4: 1030.7, (997, 1063)\n", "chirp-v3p5-engine-s-8: 977.9, (969, 988)\n", "chirp-v3p5-engine-t-2: 998.6, (985, 1000)\n", "chirp-v3p5-engine-t-3: 997.0, (986, 1008)\n", "chirp-v3p5-engine-t-3-13-b-1: 993.4, (972, 1016)\n", "chirp-v3p5-engine-t-3-15-b-1: 988.7, (972, 1008)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3: 1001.6, (968, 1036)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4: 1009.2, (976, 1042)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_2: 998.6, (979, 1008)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 1008.3, (972, 1043)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4: 981.2, (942, 1015)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2: 1002.8, (1000, 1053)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 1019.4, (986, 1056)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4: 999.8, (962, 1032)\n", "chirp-v3p5-engine-t-4-0: 1000.9, (946, 1053)\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[\"continued_parent\"].isna())],\n", " \"is continue\",\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:27:23.035138Z", "iopub.status.busy": "2024-09-14T21:27:23.034963Z", "iopub.status.idle": "2024-09-14T21:27:26.703093Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is artist\n", "len pos models: 17\n", "differing counts: 15\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.667, counts 2\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.750, counts 3\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.400, counts 2\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4_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, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_3, win ratio 0.333, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 0.250, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_3, win ratio 0.600, counts 3\n", "tournament players: ['chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3_s_30_t_10_tag_3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_4', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_4']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 599.62it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-t-3: 83.1, (-332, 989)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3: 2142.2, (1000, 2637)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 203.5, (-1166, 2258)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4: 273.9, (-921, 2302)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2: 2142.2, (1000, 2575)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 12.7, (-1435, 1306)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4: 2142.2, (1000, 2556)\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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:27:26.704081Z", "iopub.status.busy": "2024-09-14T21:27:26.703909Z", "iopub.status.idle": "2024-09-14T21:27:29.217877Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "is cover\n", "len pos models: 48705\n", "differing counts: 44187\n", "chirp-v3p5-engine-b_win_over_chirp-v3p5-engine-b, win ratio 1.000, counts 27\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.516, counts 3643\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.478, counts 3440\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_2_win_over_chirp-v3p5-engine-t-3, win ratio 0.538, counts 7\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.523, counts 3558\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_3, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.507, counts 3530\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 1.000, counts 2\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2_win_over_chirp-v3p5-engine-t-3, win ratio 0.714, counts 5\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3, win ratio 0.533, counts 3628\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_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_s_max_t_12_tag_4_win_over_chirp-v3p5-engine-t-3, win ratio 0.523, counts 3708\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 1.000, counts 1\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3, win ratio 1.000, counts 4487\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_3, win ratio 0.484, counts 3419\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_10_tag_4, win ratio 0.522, counts 3758\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_2, win ratio 0.462, counts 6\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_3, win ratio 0.477, counts 3242\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_30_t_12_tag_4, win ratio 0.493, counts 3437\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_2, win ratio 0.286, counts 2\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_3, win ratio 0.467, counts 3177\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-3_s_max_t_12_tag_4, win ratio 0.477, counts 3382\n", "chirp-v3p5-engine-t-3_win_over_chirp-v3p5-engine-t-4-0, win ratio 0.512, counts 1147\n", "chirp-v3p5-engine-t-4-0_win_over_chirp-v3p5-engine-t-3, win ratio 0.488, counts 1095\n", "tournament players: ['chirp-v3p5-engine-t-3', 'chirp-v3p5-engine-t-3_s_30_t_10_tag_3', 'chirp-v3p5-engine-t-3_s_30_t_10_tag_4', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_2', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_30_t_12_tag_4', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_2', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_3', 'chirp-v3p5-engine-t-3_s_max_t_12_tag_4', 'chirp-v3p5-engine-t-4-0']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 748.53it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "ELOs\n", "chirp-v3p5-engine-t-3: 993.9, (990, 997)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_3: 1004.9, (996, 1013)\n", "chirp-v3p5-engine-t-3_s_30_t_10_tag_4: 978.5, (970, 986)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_2: 1000.3, (998, 1003)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_3: 1010.1, (1000, 1018)\n", "chirp-v3p5-engine-t-3_s_30_t_12_tag_4: 998.5, (990, 1006)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_2: 1001.1, (999, 1003)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_3: 1017.0, (1008, 1025)\n", "chirp-v3p5-engine-t-3_s_max_t_12_tag_4: 1010.0, (1000, 1018)\n", "chirp-v3p5-engine-t-4-0: 985.9, (971, 999)\n" ] }, { "data": { "image/png": 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yZIm2b9+uzp076+9//7tSU1P5H2QeRs/s4fXMHjKz59FHH9WYMWM0duxYSVLbtm31xz/+kc18I7hpsR28d4QXcbcGAPChUaNGqU+fPmrQoIFefvllXX311Ro0aJDrsVCBVatW6emnn1bjxo1133336Y033tDOnTtdj4UK0DN73nzzTc2cOVNnnHGGJk+erFmzZnHzMo+jZ/bwemYPmdmzf/9+derUKfx9IBBQbGysw4lQmTFjxoS/TktLO+4YvIn3jvAi/j8QAHyosLBQvXr1UlRUlFq1aqWHH35Y77zzjuuxUIG4uDhFRUUpEAiouLhYTZo00a5du1yPhQrQM3vi4uIUHx+v0tJShUIhtWzZUtu2bXM9FipAz+zh9cweMrMnJiZGxcXFCgQCkqQdO3awwehxGzZsOO7YunXrHEyC6uC9I7yIy+wAgA/FxHy/vNerV0+5ublq0qSJ9u7d63gqVKRevXo6ePCgLrroIg0fPlzJycmqU6eO67FQAXpmT506dVRcXKw2bdpowoQJOuOMM1RaWup6LFSAntnD65k9ZGZPRkaG7rzzTuXl5emJJ57QggULdM8997geCxFkZ2dr4cKFys3N1eDBg8PHCwoKlJCQ4HAyVAXvHeFF3AAXAHxowoQJuv322/Xhhx9q7Nixio2N1TXXXKP777/f9Wgox+7du1W/fn2VlpbqpZde0r59+/TrX/9aZ5xxhuvRUA56Zs+///1vnX322Tp06JAef/xx7du3T//93/+t1q1bux4N5aBn9vB6Zg+Z2bR27VotXbpUoVBI3bp1K3PZHXhHTk6OPv30U02ePFl33XVX+HhiYqJSU1OVmJjocDpUhveO8CI28wHA53bs2KGCggKdf/75rkdBBWbNmqUbbrih0mPwJnpmw/vvv68uXbpUegzeRM9s4PXMHjIDal5eXp4aN24sScrPz1eDBg0cT4Sq4L0jvIiLqgGAD/33f/93+OszzzxT559/fplj8J4ZM2Ycd+yVV15xMAmqip7Z88QTT1TpGLyDntnD65k9ZGZPbm6uRo8erUGDBql///7hP/CuIxv5kjRgwAB3g6BaeO8IL+Ka+QDgQzt27Dju2FdffeVgElTmk08+0bp165SXl6fp06eHjxcUFKioqMjhZKgMPbPjyy+/1ObNm1VQUKClS5eGjxcUFOjgwYMOJ0Nl6JkdvJ7ZQ2Z23X333UpNTVVGRoaio6Ndj4Nq4gIZ3sd7R3gZm/kA4CMzZ87UzJkztWXLFqWnp4ePFxQU6P/9v//ncDKUZ9euXcrJydGhQ4e0adOm8PF69epp3LhxDidDeeiZPevXr9ecOXO0Z88eTZs2LXw8MTFR9913n7vBUC56Zg+vZ/aQmV2HDx/WsGHDXI+BE9SiRQvXI6ASvHeEl3HNfADwka+//lq5ubkaM2aMHnroofDxxMREtWrVijN3POy9997T5ZdfXu7jixYt0jXXXHMKJ0J56Jldb7zxhm688cZyH1+zZo0uuuiiUzgRykPP7OL1zB4ys2fYsGEaNmyYmjVr5noUVFNRUZHi4uJcj4Eq4r0jvIjNfACohYYPH65Jkya5HgPVkJ6erqysLNdjoBromT30zB56Zg89s4fMvGfgwIHauHGj2rdvr/j4+PDxzMxMh1OhIjk5Obrnnnu0b98+vf/++9q4caOys7N17733uh4NPwLrI1zgMjsAUAv97//+r+sRUE387t0eemYPPbOHntlDz+whM+/55S9/qV/+8peux0A1PProoxozZozGjh0rSWrbtq3++Mc/splvHOsjXGAzHwAAAwKBgOsRAN+jZ0DNo2f2kJn3HH0vEdiwf/9+derUKfx9IBBQbGysw4lwMrA+wgU28wEAAAAAADxu6tSpGjRoULk3KB4xYsQpnghVFRMTo+Li4vDm744dOxQVFeV4KgAWsZkPAIABfIQTqHn0DKh59MweMvOOhIQESVJSUpLjSVBdGRkZuvPOO5WXl6cnnnhCCxYs0D333ON6LPxIrI9wgc18AKiFOAvEnqFDh7oeAdVEz+zJyMhwPQKqiZ7Zw+uZPWTmHf369ZMkDR482PEkqK7rr79ezZs319KlS1VcXKyJEyeWuewObOK9I1wIhPg1EgAATs2dO1e5ubnq2rWr2rZtGz7+3HPP6be//a3DyQB/CAaDeu2117Rw4ULt2LFDknTmmWeqV69e6tevn6Kjox1PCPgDr2f2kJlNmZmZxx2rX7++2rdvr5SUFAcTAf7Ce0d4GaeyAICPbNu2Tbfccou6d++ucePG6fDhw+HHbrrpJoeToTyPPfaYXn/9de3du1e//e1v9T//8z/hxxYvXuxwMpSHntnz0EMP6YMPPtDtt9+uF154QS+88IJuv/12ffjhhxozZozr8RABPbOH1zN7yMyuzZs3a+bMmfrmm2+0c+dOzZw5U6tXr9bw4cM1ffp01+MhgtzcXI0ePVqDBg1S//79w3/gTbx3hJdxmR0A8JGHHnpIPXv2VLt27TR9+nT9+te/1l//+lclJiaW2QiBd7z33nuaPXu24uLidMcdd+h3v/udDh06pN/+9rdcg9Gj6Jk9K1eu1FtvvVXm2HnnnacuXbro6quvdjQVKkLP7OH1zB4ysys/P19z585VcnKyJGn37t2699579dprrykjI4NNYg+6++67lZqaqoyMDM7qNoD3jvAyNvMBwEf27NkTvm7fxIkT9eyzz2rAgAF66aWXFAgEHE+HSEKhkOLi4iRJTZo00bRp03TbbbcpGAySmUfRM3sCgYDy8vLUuHHjMsfz8vLYsPIoemYPr2f2kJldO3fuDG/kS1JycrJ27dqlhg0bKiaGbR4vOnz4sIYNG+Z6DFQR7x3hZazyAOAjhw4dKvP9HXfcodjYWP3617/W/v37HU2FitStW1e5ubk6++yzJUmJiYl68cUXdeutt+rzzz93PB0ioWf23Hbbbbr++uvVvXt3NWvWTJK0fft2LVu2TEOGDHE8HSKhZ/bwemYPmdnVtGlTZWZmqm/fvpKk2bNn6/TTT+cXMR52/vnna/v27eH3IfA23jvCy7gBLgD4yJ133qmbbrpJXbp0KXP8pZde0oQJE5STk+NoMpRn5cqVatiwoVq3bl3m+IEDBzR9+nTdcccdjiZDeeiZTbm5uVqyZEmZm5hdddVVat68uePJEAk9s4fXM3vIzK5vv/1WY8eO1cqVKyVJl156qUaOHKmGDRtqy5YtatWqleMJcayBAwdq48aNat++veLj48PHI93MGN7Ae0d4FZv5AOAjRUVFkhT+yPTRdu7cqaZNm57qkQDfoWdAzaNnAAA/ycrKing8PT39FE8CwDo28wEA8KgnnnhCQ4cOdT0G4Gv0DKh59MweMvO+DRs2aNu2bQoGg+FjaWlp7gYCagnWR7jGZj4A1BJXX321lixZ4noMVMMVV1yhd9991/UYqAZ6Zg89s4ee2UPP7CEzbxs9erQ+/PBDtWnTRlFRUZK+v2HnX/7yF8eT4VhTp07VoEGDNG7cuIiPjxgx4hRPhB+L9RGucQNcAPCRiq4hzA0Dvam8j9aGQiHt2bPnFE+DqqBn9tAze+iZPfTMHjKza8WKFcrOzi5z7XV4U0JCgiQpKSnJ8SSoDtZHeBmb+QDgI2lpaTrrrLMU6UNX33333akfCJX66quv9Oc//1l169YtczwUCvHxTY+iZ/bQM3vomT30zB4ys6tJkyYR7ykC7+nXr58kafDgwY4nQXWwPsLL2MwHAB9p1qyZXnnllYg3Brz88ssdTITKtGnTRklJSerYseNxj8XGxjqYCJWhZ/bQM3vomT30zB4ysyslJUV33XWXrrnmmjJn53fv3t3hVKhIZmbmccfq16+v9u3bKyUlxcFEqAjrI7yMzXwA8JFu3brpq6++YvPDkPHjxysxMTHiY1wT2pvomT30zB56Zg89s4fM7Nq4caMk6dVXXw0fCwQCbOZ72ObNm7V69WpdccUVCgQCWr58udq3b68ZM2YoIyND/fv3dz0ijsL6CC/jBrgAUAsVFRXx0VxjJk2apOHDh7seA9VAz+yhZ/bQM3vomT1kBvx4t956qyZMmKDk5GRJ0u7du3Xvvffq8ccfV0ZGhhYuXOh4QpwI1ke4EOV6AADAqXfTTTe5HgHV9NFHH7keAdVEz+yhZ/bQM3vomT1k5j0lJSWaOnWqxowZI0natm2bVqxY4XYoVGjnzp3hjXxJSk5O1q5du9SwYUPFxHDRDKtYH+ECm/kAUAvxoSx7yMweMrOHzOwhM3vIzB4y856HH35Ymzdv1qpVqyRJDRs21KRJkxxPhYo0bdpUmZmZ2rFjh3bs2KHMzEydfvrpCgaDCgQCrsfDCWJ9hAts5gNALcQbRnvIzB4ys4fM7CEze8jMHjLzng0bNmjs2LHhm9/Wr19fJSUljqdCRcaPH6/PP/9caWlpSktL0+eff65x48appKREEyZMcD0eThDrI1zgszwAAAAAAABGHNnEPyIYDHKGsMc1adJEf/nLXyI+1qpVq1M8DQDL2MwHgFqIN/v2kJk9ZGYPmdlDZvaQmT1k5j2tWrXSvHnzVFpaqq1bt+qFF15Q586dXY+FSmzYsEHbtm1TMBgMH0tLS3M3EH401ke4wGV2AMCH8vLyKjzWrl27UzkOquDIDczKOzZ16tRTNwyqhJ7ZQ8/soWf20DN7yMye++67T2vWrNHu3bvVr18/RUVF6Z577nE9FiowevRo/eEPf9CSJUu0bNkyLVu2TMuXL3c9FirB+ggv4sx8APChW2+9VVlZWeUee+ihh1yMhQps2LDhuGPr1q0Lf924ceNTOQ6qgJ7ZQ8/soWf20DN7yMyeevXq6eGHH9bDDz/sehRU0YoVK5SdnX3cJZLgbayP8CI28wHAR4qKilRUVKRgMKjCwsLw8YKCAh04cMDhZChPdna2Fi5cqNzcXA0ePDh8vKCgQAkJCQ4nQ3nomT30zB56Zg89s4fM/GHIkCGaPHmy6zFQiSZNmiguLs71GKgi1kd4GZv5AOAjzz//vDIzMxUIBNSpU6fw8cTERA0cONDhZChPy5Yt1b17d3366afq3r17+HhiYqJSU1MdToby0DN76Jk99MweemYPmflDbm6u6xFQBSkpKbrrrrt0zTXXlDk7/+juwTtYH+FlgRB3awAA3xk9enSFlx4oKirizBCPycvLq/BjmpMmTdLw4cNP4USoDD2zh57ZQ8/soWf2kJltaWlpmjt3rusxUIlbbrnluGOBQEDTp093MA2qivURXsRmPgDUQunp6cddgxjeRmb2kJk9ZGYPmdlDZvaQmbcVFBQoKSnJ9RhArcT6CBeiXA8AADj1+D2uPWRmD5nZQ2b2kJk9ZGYPmXnXjh07tHLlSm3dutX1KKhESUmJpk6dqjFjxkiStm3bphUrVrgdCj8a6yNcYDMfAGqhQCDgegRUE5nZQ2b2kJk9ZGYPmdlDZt5x9OU8Vq1apb59+2rmzJnKyMjQ22+/7XAyVObhhx/W5s2btWrVKklSw4YNNWnSJMdT4cdifYQL3AAXAAAAAADA4z7//PPw188884wyMzPVsWNHbdmyRcOGDdOVV17pcDpUZMOGDZo3b57S0tIkSfXr11dJSYnboQCYxJn5AFAL8XFAe8jMHjKzh8zsITN7yMweMvOOo88C/u6779SxY0dJ0rnnnqtgMOhqLFRBfHx8me+DwSDd8gEyhAucmQ8AtVC7du1cj4BjfPXVV9q+fbskqVmzZmrevHmZx6dOnepiLPwI9Mx76Jn/0DPvoWf2kJkd33zzjcaNG6dQKKS9e/cqGAwqOjpaktjM97hWrVpp3rx5Ki0t1datW/XCCy+oc+fOrsdCJVgf4UWBEL9GAgDfee655/Tb3/42/H1xcbH+9Kc/afTo0Q6nQiRffPGF/vjHP+qbb77RmWeeKen7m5mdccYZGjdunP7jP/7D8YQoDz2zg57ZRc/soGf2kJk9mZmZZb7/1a9+pdNOO007d+7UE088ofHjxzuaDJXZv3+/JkyYoHfeeUehUEhXXnmlRowYobp167oeDRGwPsLL2MwHAB+64447VFpaqkmTJik/P1933323OnTooFGjRrkeDce48cYbddttt+nqq68uc3zx4sX661//qlmzZjmaDJWhZ3bQM7vomR30zB4yA4DIWB/hZVwzHwB86Nlnn9Ull1yi9PR09e/fX7fffjsbHx61b9++494kSlLPnj1VUFDgYCJUFT2zg57ZRc/soGf2kJldRUVFev755zVgwAANHDhQzz//vIqKilyPhSoaMmSI6xFQCdZHeBmb+QDgQ8XFxdq+fbuSkpIUCAR0+PBh1yOhHI0aNdLcuXNVWloaPlZaWqqsrCw1atTI4WSoDD2zg57ZRc/soGf2kJldo0eP1tq1a3XzzTcrIyND69ev5/JjhuTm5roeAZVgfYSXcZkdAPChvn376oILLtD999+v3bt36w9/+INatmypP/3pT65HwzG2bt2qBx98UP/617/UpEkTSdK3336rn/70p3rooYf0k5/8xPGEKA89s4Oe2UXP7KBn9pCZXT179tSiRYsUCAQkfX/z22uvvVaLFy92PBmqIi0tTXPnznU9BirA+ggvYzMfAHxowYIF6t27d/j7kpIS/fnPf9Yf//hHh1OhInl5edqxY4ck6cwzz1Tjxo0dT4TK0DN76Jk99MweemYPmdnTr18/vfTSS+Gbpx48eFCDBg3Sq6++6ngyVEVBQYGSkpJcj4EqYH2EF7GZDwCAx+Tn56tBgwauxwB8jZ4BNY+e2UNmNowcOVL//Oc/1bNnT0nSkiVLdOGFF6pVq1aSpP79+7scDxXYsWOHNm7cqPPPP1/nnHOO63FQDayP8IoY1wMAAE6+Q4cO6eWXX1ZOTk6Z6wtnZmY6nAqRbNq0Sffdd5+ioqI0ceJETZo0SatWrVKjRo307LPPqnXr1q5HRDnomR30zC56Zgc9s4fM7AqFQrrgggvC115v27atSktLtWnTJseT4VjDhw/XpEmTJEmrVq3S0KFD1aZNG3322WcaPXq0rrzySscTIhLWR3gZZ+YDgA/dc889SkxM1Pvvv6+BAwcqKytLnTp10siRI12PhmPcfPPNGjBggPbt26fJkyfr97//vdLS0vTOO+/olVde0dSpU12PiHLQMzvomV30zA56Zg+ZATXv6OvjDxgwQHfddZc6duyoLVu2aNiwYZo9e7bbARER6yO8LMr1AACAk++zzz7TmDFjVK9ePd1yyy2aPn26/vWvf7keCxEUFhaqR48e6tOnj0KhkNLS0iRJPXr00J49e9wOhwrRMzvomV30zA56Zg+Z2ZSTk6OcnBxJ0pYtWzRt2jStWLHC8VQoz5GbFEvSd999p44dO0qSzj33XAWDQVdjoRKsj/AyLrMDAD4UHx8vSYqJidGBAweUmJiovLw8x1MhkqM/IHfJJZeU+xi8h57ZQc/somd20DN7yMyel19+WVOnTlVJSYluvfVWzZs3TykpKXr11Vc1cOBA9evXz/WIOMY333yjcePGKRQKae/evQoGg4qOjpYkNvM9jPURXsZmPgD4UIMGDZSfn68uXbro1ltvVaNGjXTGGWe4HgsRJCcnq7CwUImJiZowYUL4+K5du8KbWPAmemYHPbOLntlBz+whM3tef/11vfnmm9q/f7969OihxYsXq1mzZsrLy9OgQYPYzPegjIyM8Nc33nijvvvuO5122mnauXOn2rZt63AyVIT1EV7GNfMBwIeOnPERCoU0f/58FRQUKC0tTYmJia5HQxUVFBSooKBAzZo1kyQVFRUpLi7O8VQ4Gj2zj555Hz2zj57ZQ2bedfT116+77jq9+eab4cfS09OVlZXlaDKgdmB9hBewmQ8AgAH8DzSg5tEzoObRM3vIzDt69+6tBQsWSJKWLFmiq6++OvzYtddeq4ULF7oaDZUoKirStGnT9NFHHykQCCg1NVUDBgxgI9g41ke4wGV2AMCHPv74Y02YMEHbtm1TSUlJ+PjatWsdToUfg9+9ew898x965j30zH/omT1k5h39+vULX/rj6I38L774QhdddJHDyVCZ0aNHa+/evbr55pslSXPmzNHo0aM1btw4x5Phx2B9hAts5gOADz3wwAMaOnSoUlJSwjdYgm2BQMD1CDgGPfMfeuY99Mx/6Jk9ZOYdR19//WjnnXeeHn744VM8Dapj3bp1WrRoUbhPXbt21bXXXut4KvxYrI9wgc18APChxMRE9ezZ0/UYgK/RM6Dm0TMAOF56erpuuOEGXXfddWrQoIHrcVAFDRs21KFDh1S3bl1J3192p1GjRo6nAmBRlOsBAAAn39VXX625c+eqqKjI9Sg4SfgIp/fQM/+hZ95Dz/yHntlDZt4zYsQI/fOf/9RVV12lu+++Wx988AE5eVzLli31n//5n5oyZYqmTJmim266SS1bttT06dM1ffp01+PhBNE7uMCZ+QDgQy1bttTw4cM1YsQISd+/yQgEAtq0aZPjyXCi2rVr53oEHIOe+Q898x565j/0zB4y857OnTurc+fOOnDggBYvXqznn39eo0aN0rvvvut6NJQjFArpggsuUG5uriSpbdu2Ki0t5fXMONZHuBAI8WskAPCd7t27a+zYsbrwwgsVFfXDh7ASEhIcToWKzJw5U9dee62SkpL00EMPacOGDRoxYoQuvvhi16OhHPTMHnpmDz2zh57ZQ2Z27d69W3PnztWcOXMUHR2tBQsWuB4J8BXWR3gRl9kBAB867bTTlJqaqsTERCUkJIT/wLtmzJihpKQkrVmzRp9//rmGDh2qCRMmuB4LFaBn9tAze+iZPfTMHjKz56233tIdd9yh3r176+uvv9b48ePZyPewnJwc5eTkSJK2bNmiadOmacWKFY6nQlWwPsKL2MwHAB/q1q2b/va3v2nPnj0qLCwM/4F3xcR8f+W7lStX6vrrr9cvfvELBYNBx1OhIvTMHnpmDz2zh57ZQ2b2zJw5U9ddd53effddjR49WikpKa5HQjlefvll/e53v9NvfvMbTZs2TUOHDtWXX36pMWPGaObMma7HQyVYH+FFXDMfAHzoySeflCSNHTtWgUCAawwbEAgElJ2drUWLFum5556TJBUXFzueChWhZ/bQM3vomT30zB4ys2fq1Knhr7OyspSenu5wGlTk9ddf15tvvqn9+/erR48eWrx4sZo1a6a8vDwNGjRI/fr1cz0iKsD6CC9iMx8AfOjIxzjLU1RUpLi4uFM0Dapi9OjReu6553TjjTfqrLPO0pdffqlLL73U9VioAD2zh57ZQ8/soWf2kJlt06dPZzPfw6Kjo1WvXj3Vq1dPLVq0ULNmzSRJjRs3ViAQcDwdKsP6CC/iBrgAUAulp6crKyvL9RiohkmTJmn48OGux0A10DN76Jk99MweemYPmXlbWlqa5s6d63oMlKN3797h+xksWbJEV199dfixa6+9VgsXLnQ1Gk4C1ke4wDXzAaAW4ve49nz00UeuR0A10TN76Jk99MweemYPmXnbgAEDXI+ACvTr1y98r5ejN/K/+OILXXTRRa7GwknC+ggXuMwOANRCfKTTHjas7KFn9tAze+iZPfTMHjLzpu3bt+vjjz9WVFSUtm/fHr58C7wlIyMj4vHzzjtPDz/88CmeBicb6yNc4Mx8AAAMYMMKqHn0DKh59MweMvOeBQsWKD09XW+//baWLFmiPn36cLkWj0tPT9eMGTOUn5/vehScRKyPcIEz8wGgFuIMAqDm0TOg5tEzALXRlClTNGvWLDVv3lySlJubq9tuu03XXnut48lQnhEjRmjOnDl66qmnlJqaqr59++rnP/85m8EAqo0z8wGgFmrXrp3rEVBNbFjZQ8/soWf20DN76Jk9ZOY9devWDW/kS9LZZ5+tunXrOpwIlencubPGjx+v5cuXq0uXLnr++efVtWtX12PhR2J9hAts5gOAD82cOVMFBQWSpIceekh9+vTRxx9/HH78oYcecjUaqiDSx2+nTp3qYBJUhJ7ZRs9soGe20TN7yMyGyy+/XJMnT9Y333yjHTt2KDMzU127dlVhYWH4ZqvwpgMHDigvL0979uxRUlKS63FQDayP8Ao28wHAh2bMmKGkpCStWbNGn3/+uYYOHaoJEya4HgsRbNq0Sddff73S09P1+eef6/bbb1eXLl10xRVXKCcnJ/xzjRs3djglIqFndtAzu+iZHfTMHjKz69lnn9WUKVN0xRVXqGvXrsrMzNTTTz+tTp066eKLL3Y9HiJ46623dMcdd6h37976+uuvNX78eC1YsMD1WCgH6yO8jM18APChmJjvb4mycuVKXX/99frFL36hYDDoeCpE8uijj2rIkCG65ZZbdPvtt6tXr17asGGDHnjgAU2cONH1eKgAPbODntlFz+ygZ/aQmV05OTnl/tm0aZPr8RDBzJkzdd111+ndd9/V6NGjlZKS4nokVID1EV7GZj4A+FAgEFB2drYWLVqkyy67TJJUXFzseCpEUlhYqB49eqhPnz4KhUJKS0uTJPXo0UN79uxxOxwqRM/soGd20TM76Jk9ZGZTMBhUr169XI+Bapo6daquu+46xcfHKysry/U4qATrI7yMzXwA8KHRo0frzTff1I033qizzjpLX375pS699FLXYyGCo2+adMkll5T7GLyHntlBz+yiZ3bQM3vIzKbo6Gg1btxYBw8edD0KTtD06dNdj4BKsD7Cy2JcDwAAOPnatWunp59+Ovz9T37yEz3wwAPh7ydNmqThw4e7GA3HSE5OVmFhoRITE8tcB3rXrl2Kj493OBkqQ8/soGd20TM76Jk9ZGZXixYt9Ktf/Uo9e/ZUQkJC+Hj//v0dToWqYjPY+1gf4WWBEKsIANQ66enpfLzT4woKClRQUKBmzZq5HgUniJ55Hz2zj555Hz2zh8y8b8SIERGPjxs37hRPghMxd+7c8GVbYAvrI7yAM/MBoBbi97jelpWVpfT0dCUlJbkeBT8CPfM2euYP9Mzb6Jk9ZGYDm/Y2bd++XR9//LGioqK0fft2NoSNYX2EV3DNfACohQKBgOsRUAGuo+kP9Mzb6Jk/0DNvo2f2kJm3rV69WpK0dOnSiH/gXQsWLFB6errefvttLVmyRH369NHChQtdj4VqYH2EV3BmPgAAHsOZpkDNo2dAzaNn9pCZt82fP1+dO3fWtGnTjnssEAioe/fup34oVMmUKVM0a9YsNW/eXJKUm5ur2267Tddee63jyVBVrI/wCjbzAaAW4o2Itw0YMMD1CDgJ6Jm30TN/oGfeRs/sITNvGzt2rCTp5ZdfdjwJqqtu3brhjXxJOvvss1W3bl2HE6G6WB/hFVxmBwB8Lj8//7hjU6dOdTAJKjJmzJjw10duiHX0MXgbPbOBntlGz2ygZ/aQmU27du3S2rVr9fHHH4f/wLsuv/xyTZ48Wd9884127NihzMxMde3aVYWFhSosLHQ9HsrB+ggv4sx8APCRTZs26b777lNUVJQmTpyoSZMmadWqVWrUqJGeffZZtW7dWpLUuHFjx5PiWBs2bDju2Lp16xxMgsrQM7vomR30zC56Zg+Z2fPMM8/oxRdfVPPmzRUV9f05moFAQLNmzXI8Gcrz7LPPSvr+cjtHe/rppxUIBLRp0yYXY6ESrI/wokCIz6YCgG/cfPPNGjBggPbt26fJkyfr97//vdLS0vTOO+/olVde4QxGD8rOztbChQu1evVqXXLJJeHjBQUFKioq0quvvupwOkRCz+yhZ/bQM3vomT1kZlePHj30xhtvqFGjRq5HAXyJ9RFexpn5AOAjhYWF6tGjhyTpqaeeCn8UsEePHpo8ebLDyVCeli1bqnv37vr000/L3LQsMTFRqampDidDeeiZPfTMHnpmDz2zh8zsSk5OZiPfkGAwqN69eys7O9v1KKgi1kd4GZv5AOAjR3/Y6ugzCI59DN7RunVrtW7dWldccUX4chH5+flq0KCB48lQHnpmDz2zh57ZQ8/sITN7cnJyJEmXXXaZHn30UfXu3VtxcXHhx49cggzeEh0drcaNG+vgwYPc9NYI1kd4GZv5AOAjycnJKiwsVGJioiZMmBA+vmvXLsXHxzucDJU5+rrPAwYMUFZWlsNpUBF6Zhc9s4Oe2UXP7CEzO/77v/+7zPdLly4Nfx0IBMp8D29p0aKFfvWrX6lnz55KSEgIH+/fv7/DqVAZ1kd4EZv5AOAjL774YsTjdevW1V/+8pdTPA1OFGedehs98wd65m30zB/omT1k5m3Lli2T9P0mfqdOncJnCefn52vt2rUuR0MlQqGQ2rRpo61bt7oeBSeI9RFewWY+APhcVlaW0tPTlZSU5HoUVFGLFi1cj4Bqomf20DN76Jk99MweMrPhqaee0rx588Lf169fX0899ZS6du3qcCpUZNy4ca5HwI/E+givCIT41RIA+Fp6ejofBzSkqKiozLVPYQM9s4We2UTPbKFn9pCZHddff32ZzXxJ+uUvf6n58+c7mgjlWb16tTp37lzuJZCOvrkqvIv1EV4S5XoAAEDN4ne2NuTk5Oi6665Tjx49JEkbN27UxIkTHU+FqqJnNtAz2+iZDfTMHjKzp169emUuq7NmzRrVq1fP4UQoz5FfsEybNu24P//zP//jeDpUhvURXsRmPgD43IABA1yPgCp49NFHNWbMmPBNltq2bav33nvP8VSoKnpmAz2zjZ7ZQM/sITN7hg8friFDhuiWW27RLbfcorvvvlsjRoxwPRYiGDt2rCTp5ZdfPu7P9OnTHU+HyrA+wovYzAcAHxozZkz467S0tOOOwXv279+vTp06hb8PBAKKjY11OBEqQ8/soWf20DN76Jk9ZGZPhw4dlJ2drdtuu0233XabFi5cqJSUFNdjoRK7du3S2rVr9fHHH4f/wNtYH+FF3AAXAHxow4YNxx1bt26dg0lQVTExMSouLlYgEJAk7dixQ1FR/M7dy+iZPfTMHnpmDz2zh8xsatCggS6//HLXY6CKnnnmGb344otq3rx5uF+BQECzZs1yPBkqwvoIL2IzHwB8JDs7WwsXLlRubq4GDx4cPl5QUKCEhASHk6EyGRkZuvPOO5WXl6cnnnhCCxYs0D333ON6LERAz+yiZ3bQM7vomT1kBtS82bNn6+2331ajRo1cj4JqYH2EFwVC3EkKAHwjJydHn376qSZPnqy77rorfDwxMVGpqalKTEx0OB0qs3btWi1dulShUEjdunUr85FOeAc9s42e2UDPbKNn9pAZULP69eunmTNnuh4DJ4D1EV7DZj4A+FBeXl74Jj35+flq0KCB44kA/6FnQM2jZwAAy3JyciRJb731lgoKCtS7d2/FxcWFH2/durWr0QAYxWY+APhcenq6srKyXI+BSuTm5uqFF17QV199pZKSkvDx6dOnO5wKVUXPbKBnttEzG+iZPWQG1Jxu3bqV+1ggENDSpUtP4TSoLtZHeBHXzAcAn+N3tjbcfffdSk1NVUZGhqKjo12Pg2qiZzbQM9vomQ30zB4yA2rOsmXLJElLly5Vp06dwp8wy8/P19q1a12OhipgfYQXsZkPAD7XokUL1yOgCg4fPqxhw4a5HgMniJ7ZQM9so2c20DN7yAyoeU899ZTmzZsX/r5+/fp66qmn1LVrV4dToTKsj/CiKNcDAABqTlFRkZ566inXY6AKzj//fG3fvt31GDgB9MwOemYXPbODntlDZsCpFwgEFAwGXY+BSrA+wos4Mx8AfCgnJ0f33HOP9u3bp/fff18bN25Udna27r33XtejoRx5eXm6/vrr1b59e8XHx4ePZ2ZmOpwKFaFn9tAze+iZPfTMHjIDal69evW0du1adezYUZK0Zs0a1atXz/FUqAzrI7yIG+ACgA/dcsst+v3vf6+xY8dq7ty5CoVCuu6667Rw4ULXo6Ec5d3UMT09/RRPgqqiZ/bQM3vomT30zB4yA2reunXrNHjwYLVs2VKStGXLFk2ZMkUpKSmOJ0NFWB/hRZyZDwA+tH//fnXq1Cn8fSAQUGxsrMOJUBneENpDz+yhZ/bQM3vomT1kBtS8Dh06KDs7W+vXrw9/X79+fbdDoVKsj/AiNvMBwIdiYmJUXFysQCAgSdqxY4eiorhNihdNnTpVgwYN0rhx4yI+PmLEiFM8EaqKntlBz+yiZ3bQM3vIDDi1GjRooMsvv9z1GKgC1kd4GZv5AOBDGRkZuvPOO5WXl6cnnnhCCxYs0D333ON6LESQkJAgSUpKSnI8CaqLntlBz+yiZ3bQM3vIDAAiY32El3HNfADwqbVr12rp0qUKhULq1q1bmcsUADg56BlQ8+gZAAAA8D028wEA8IDMzMzjjtWvX1/t27fnxljASULPgJpHz+whMwCIjPURXsRldgDAh3Jzc/XCCy/oq6++UklJSfj49OnTHU6FimzevFmrV6/WFVdcoUAgoOXLl6t9+/aaMWOGMjIy1L9/f9cj4hj0zB56Zg89s4ee2UNmABAZ6yO8iM18APChu+++W6mpqcrIyFB0dLTrcVAF+fn5mjt3rpKTkyVJu3fv1r333qvXXnuNN4oeRc/soWf20DN76Jk9ZAYAkbE+wovYzAcAHzp8+LCGDRvmegxUw86dO8NvEiUpOTlZu3btUsOGDRUTw8u1F9Eze+iZPfTMHnpmD5kBQGSsj/CiKNcDAABOvvPPP1/bt293PQaqoWnTpsrMzNSOHTu0Y8cOZWZm6vTTT1cwGFQgEHA9HiKgZ/bQM3vomT30zB4yA4DIWB/hRdwAFwB8aODAgdq4caPat2+v+Pj48PFIN/CBN3z77bcaO3asVq5cKUm69NJLNXLkSDVs2FBbtmxRq1atHE+IY9Eze+iZPfTMHnpmD5kBQGSsj/AiNvMBwIeysrIiHk9PTz/FkwD+Rc+AmkfPAAAAgB+wmQ8AgEds2LBB27ZtUzAYDB9LS0tzNxDgQ/QMqHn0zB4yA4DIWB/hNdytAQB8ZOrUqRo0aJDGjRsX8fERI0ac4olQVaNHj9aHH36oNm3aKCrq+1vaBAIB3ih6ED2zi57ZQc/somf2kBkARMb6CC9iMx8AfCQhIUGSlJSU5HgSVNeKFSuUnZ1d5prQ8CZ6Zhc9s4Oe2UXP7CEzAIiM9RFexGY+APhIv379JEmDBw92PAmqq0mTJoqLi3M9BqqAntlFz+ygZ3bRM3vIDAAiY32EF3HNfADwoczMzOOO1a9fX+3bt1dKSoqDiVCZCRMmKDc3V9dcc02ZMz+6d+/ucCpUhJ7ZQ8/soWf20DN7yAwAImN9hBdxZj4A+NDmzZu1evVqXXHFFQoEAlq+fLnat2+vGTNmKCMjQ/3793c9Io6xceNGSdKrr74aPhYIBHij6GH0zB56Zg89s4ee2UNmABAZ6yO8iDPzAcCHbr31Vk2YMEHJycmSpN27d+vee+/V448/royMDC1cuNDxhIB99AyoefQMAAAA+EGU6wEAACffzp07wxsfkpScnKxdu3apYcOGionhQ1leVFJSoqlTp2rMmDGSpG3btmnFihVuh0KF6Jk99MweemYPPbOHzAAgMtZHeBGb+QDgQ02bNlVmZqZ27NihHTt2KDMzU6effrqCwaACgYDr8RDBww8/rM2bN2vVqlWSpIYNG2rSpEmOp0JF6Jk99MweemYPPbOHzAAgMtZHeBGb+QDgQ+PHj9fnn3+utLQ0paWl6fPPP9e4ceNUUlKiCRMmuB4PEWzYsEFjx44N31ipfv36KikpcTwVKkLP7KFn9tAze+iZPWQGAJGxPsKL+GwqAPhQkyZN9Je//CXiY61atTrF06AqjrxBPCIYDIrb2ngbPbOHntlDz+yhZ/aQGQBExvoIL2IzHwB8asOGDdq2bZuCwWD4WFpamruBUKFWrVpp3rx5Ki0t1datW/XCCy+oc+fOrsdCJeiZLfTMJnpmCz2zh8wAIDLWR3hRIMSvlADAd0aPHq0PP/xQbdq0UVTU91dUCwQC5Z7dCPf279+vCRMm6J133lEoFNKVV16pESNGqG7duq5HQznomT30zB56Zg89s4fMACAy1kd4EZv5AOBDV111lRYsWHDcxwIBnDz0DKh59AwAAAD4ATfABQAfatKkieLi4lyPgRM0ZMgQ1yOgCuiZbfTMBnpmGz2zh8wAIDLWR3gF18wHAB9KSUnRXXfdpWuuuabM2Yzdu3d3OBWqKjc31/UIqAJ6Zhs9s4Ge2UbP7CEzAIiM9RFewWY+APjQxo0bJUmvvvpq+FggEGDzwwiugGcDPbONntlAz2yjZ/aQGQBExvoIr+Ca+QAAeExBQYGSkpJcjwH4Gj0Dah49s4fMACAy1kd4BdfMBwAfKikp0dSpUzVmzBhJ0rZt27RixQq3Q6FKduzYoZUrV2rr1q2uR0El6Jld9MwOemYXPbOHzAAgMtZHeAmb+QDgQw8//LA2b96sVatWSZIaNmyoSZMmOZ4KkQwfPjz89apVq9S3b1/NnDlTGRkZevvttx1OhsrQMzvomV30zA56Zg+ZAUBkrI/wMq6ZDwA+tGHDBs2bN09paWmSpPr166ukpMTtUIjo888/D3/9zDPPKDMzUx07dtSWLVs0bNgwXXnllQ6nQ0XomR30zC56Zgc9s4fMACAy1kd4GWfmA4APxcfHl/k+GAxywx6PCgQC4a+/++47dezYUZJ07rnnKhgMuhoLVUDP7KBndtEzO+iZPWQGAJGxPsLLODMfAHyoVatWmjdvnkpLS7V161a98MIL6ty5s+uxEME333yjcePGKRQKae/evQoGg4qOjpYk3ih6HD2zg57ZRc/soGf2kBkARMb6CC/jzHwA8KH77rtPa9as0e7du9WvXz9FRUXpnnvucT0WIsjIyFBSUpLq16+vG2+8Ud99950kaefOnWrbtq3b4VAhemYHPbOLntlBz+whMwCIjPURXhYI8TlVAAAAAAAAAAA8jcvsAIDPDRkyRJMnT3Y9BipRVFSkadOm6aOPPlIgEFBqaqoGDBiguLg416OhCuiZDfTMNnpmAz2zh8wAIDLWR3gRZ+YDgM+lp6crKyvL9RioxIgRI7R3717dcMMNkqQ5c+aoQYMGGjdunOPJUBX0zAZ6Zhs9s4Ge2UNmABAZ6yO8iDPzAcDn+J2tDevWrdOiRYsUCAQkSV27dtW1117reCpUFT2zgZ7ZRs9soGf2kBkARMb6CC/iBrgA4HMvv/yy6xFQBQ0bNtShQ4fC3xcVFalRo0YOJ0J10DMb6Jlt9MwGemYPmQFAZKyP8CIuswMAPrZjxw5t3LhR559/vs455xzX46ACI0eO1D//+U/17NlTkrRkyRJdeOGFatWqlSSpf//+LsdDBeiZHfTMLnpmBz2zh8wAIDLWR3gRZ+YDgI8MHz48/PWqVavUt29fzZw5UxkZGXr77bcdTobKhEIhXXDBBcrNzVVubq7atm2r0tJSbdq0SZs2bXI9Ho5Cz+yiZ3bQM7vomT1kBgCRsT7CizgzHwB8JC0tTXPnzpUkDRgwQHfddZc6duyoLVu2aNiwYZo9e7bbAQEfoGdAzaNnAAAAwPE4Mx8AfOTIjXkk6bvvvlPHjh0lSeeee66CwaCrsVCJnJwc5eTkSJK2bNmiadOmacWKFY6nQnnomU30zBZ6ZhM9s4fMACAy1kd4VYzrAQAAJ88333yjcePGKRQKae/evQoGg4qOjpYkNj886uWXX9bUqVNVUlKiW2+9VfPmzVNKSopeffVVDRw4UP369XM9Io5Bz+yhZ/bQM3vomT1kBgCRsT7Cy9jMBwAfycjICH9944036rvvvtNpp52mnTt3qm3btg4nQ3lef/11vfnmm9q/f7969OihxYsXq1mzZsrLy9OgQYN4o+hB9MweemYPPbOHntlDZgAQGesjvIzNfADwkcGDB0c83rRpU40fP/4UT4OqiI6OVr169VSvXj21aNFCzZo1kyQ1bty4zGUm4B30zB56Zg89s4ee2UNmABAZ6yO8jM18APChoqIiTZs2TR999JECgYBSU1M1YMAAxcXFuR4Nxzj6chFDhgwp81hRUdGpHgfVQM/soGd20TM76Jk9ZAYAkbE+wsu4AS4A+NDo0aO1du1a3XzzzcrIyND69es1evRo12Mhgn79+qmwsFCSdPXVV4ePf/HFF7roootcjYUqoGd20DO76Jkd9MweMgOAyFgf4WWBUCgUcj0EAODk6tmzpxYtWhT+CGAwGNS1116rxYsXO54M8A96BtQ8egYAAAD8gDPzAcCHGjZsqEOHDoW/LyoqUqNGjRxOhMqkp6drxowZys/Pdz0Kqoie2UPP7KFn9tAze8gMACJjfYQXcWY+APjQyJEj9c9//lM9e/aUJC1ZskQXXnihWrVqJUnq37+/y/EQwerVqzVnzhwtX75cqamp6tu3r37+859zgyUPo2f20DN76Jk99MweMgOAyFgf4UVs5gOAD40YMaLCx8eNG3eKJkF1HThwQIsXL1ZWVpa++uorvfvuu65HQjnomV30zA56Zhc9s4fMACAy1kd4SYzrAQAAJx+bG3YdOHBAeXl52rNnj5KSklyPgwrQM7vomR30zC56Zg+ZAUBkrI/wEs7MBwCfycnJkSS1bt1aW7Zs0bvvvqtWrVopNTXV8WSoyFtvvaU5c+Zow4YN6tmzp9LT05WSkuJ6LJSDntlEz2yhZzbRM3vIDAAiY32EF7GZDwA+8vLLL2vq1KkqKSnRrbfeqnnz5iklJUUrV67UwIED1a9fP9cjohyDBg1Snz59dOWVVyo+Pt71OKgAPbOLntlBz+yiZ/aQGQBExvoIL2IzHwB8pHfv3po5c6b279+vHj16aPHixWrWrJny8vI0aNAgzZ071/WIqIKsrCylp6e7HgPloGf+QM+8jZ75Az2zh8wAIDLWR3hFlOsBAAAnT3R0tOrVq6fTTz9dLVq0ULNmzSRJjRs3ViAQcDwdqmr69OmuR0AF6Jk/0DNvo2f+QM/sITMAiIz1EV7BZj4A+EgwGAx/PWTIkDKPFRUVnepxcIL40Jy30TN/oGfeRs/8gZ7ZQ2YAEBnrI7yCzXwA8JF+/fqpsLBQknT11VeHj3/xxRe66KKLXI2FahowYIDrEVABeuYP9Mzb6Jk/0DN7yAwAImN9hFdwzXwAADxi+/bt+vjjjxUIBNSpU6fwZSUAnDz0DKh59MweMgOAyFgf4TWcmQ8APpSenq4ZM2YoPz/f9SioogULFig9PV1vv/22lixZoj59+mjhwoWux0IF6Jk99MweemYPPbOHzAAgMtZHeBFn5gOAD61evVpz5szR8uXLlZqaqr59++rnP/85Nw30sJ49e+qFF15Q8+bNJUm5ubm67bbbtHjxYseToTz0zB56Zg89s4ee2UNmABAZ6yO8iDPzAcCHOnfurPHjx2v58uXq0qWLnn/+eXXt2tX1WKhA3bp1w28SJenss89W3bp1HU6EytAze+iZPfTMHnpmD5kBQGSsj/AiNvMBwMcOHDigvLw87dmzR0lJSa7HQQUuv/xyTZ48Wd9884127NihzMxMde3aVYWFheGbQMKb6Jkd9MwuemYHPbOHzAAgMtZHeBGX2QEAH3rrrbc0Z84cbdiwQT179lR6erpSUlJcj4UKtG7dutzHAoGANm3adAqnQVXQM3vomT30zB56Zg+ZAUBkrI/wIjbzAcCHBg0apD59+ujKK69UfHy863EAX6JnQM2jZwAAAMAPuMwOAPjQ1KlTdd111yk+Pl5ZWVmux0ElgsGgevXq5XoMVBM9s4We2UTPbKFn9pAZAETG+givYjMfAHxu+vTprkdAJaKjo9W4cWMdPHjQ9Sg4QfTM++iZffTM++iZPWQGAJGxPsKrYlwPAACoWVxNzYYWLVroV7/6lXr27KmEhITw8f79+zucClVFz2ygZ7bRMxvomT1kBgCRsT7Ci9jMBwCfGzBggOsRUAWhUEht2rTR1q1bXY+CE0DPbKBnttEzG+iZPWQGAJGxPsKLuAEuAPjU9u3b9fHHHysQCKhTp05q1qyZ65EA36FnQM2jZwAAAMD32MwHAB9asGCBxo4dq4s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" ] }, "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": "markdown", "metadata": {}, "source": [ "# Clean up SHIT\n", "\n", "to get the right play conts, we need the right df..." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:08.095035Z", "start_time": "2024-05-26T00:25:07.782738Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:27:29.218922Z", "iopub.status.busy": "2024-09-14T21:27:29.218742Z", "iopub.status.idle": "2024-09-14T21:27:32.571891Z" } }, "outputs": [], "source": [ "def unpack_dict(x):\n", " if v := concat_clips_ids.get(str(x)):\n", " return v\n", " else:\n", " return {\n", " \"total_start_s\": None,\n", " \"total_clip_s\": None,\n", " \"concat_play_counts\": None,\n", " \"concat_in_playlist\": None,\n", " \"concat_likes\": None,\n", " \"concat_dislikes\": None,\n", " }\n", "\n", "\n", "extra_cols = user_intersting_clips[\"id\"].apply(unpack_dict)\n", "extra_cols_df = pd.DataFrame.from_records(extra_cols.values, index=extra_cols.index)\n", "user_intersting_clips[\n", " [\n", " \"total_start_s\",\n", " \"total_clip_s\",\n", " \"concat_play_counts\",\n", " \"concat_in_playlist\",\n", " \"concat_likes\",\n", " \"concat_dislikes\",\n", " ]\n", "] = extra_cols_df" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:08.361849Z", "start_time": "2024-05-26T00:25:08.199583Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:27:32.572945Z", "iopub.status.busy": "2024-09-14T21:27:32.572774Z", "iopub.status.idle": "2024-09-14T21:27:32.611137Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Positive proportion of data meeting criteria: 26.84%\n", "Negative proportion of data meeting criteria: 44.93%\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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:08.523643Z", "start_time": "2024-05-26T00:25:08.367348Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:27:32.612233Z", "iopub.status.busy": "2024-09-14T21:27:32.612062Z", "iopub.status.idle": "2024-09-14T21:27:36.670572Z" } }, "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 98,777 53.32%\n", "chirp-v3p5-engine-t-3 32,890 17.75%\n", "chirp-v3p5-engine-upload-4 16,440 8.87%\n", "chirp-v3p5-engine-evict 16,253 8.77%\n", "chirp-v3p5-engine-s-25 8,438 4.55%\n", "chirp-v3p5-engine-oci 3,285 1.77%\n", "chirp-v3p5-engine-s-25-b-2 2,207 1.19%\n", "chirp-v3p5-engine-t-3-15-b-1 2,167 1.17%\n", "chirp-v3p5-engine-t-3-13-b-1 1,803 0.97%\n", "chirp-v3p5-engine-s-25-b-15 648 0.35%\n", "chirp-v3p5-engine-b 641 0.35%\n", "chirp-v3p5-engine-s-25-b-4 614 0.33%\n", "chirp-v3p5-engine-t-4-0 582 0.31%\n", "chirp-v3p5-engine-s-25-b-1 408 0.22%\n", "chirp-v3p5-engine-ft-1 101 0.05%\n", "----------------------------------------------------------------------\n", "Total 185,254 100.00%\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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:09.198504Z", "start_time": "2024-05-26T00:25:08.885507Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:27:36.671740Z", "iopub.status.busy": "2024-09-14T21:27:36.671558Z", "iopub.status.idle": "2024-09-14T21:27:37.821107Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Validation passed!\n" ] } ], "source": [ "validate_preference_data(final_interesting_clips)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:27:37.822397Z", "iopub.status.busy": "2024-09-14T21:27:37.822215Z", "iopub.status.idle": "2024-09-14T21:27:38.013681Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of rows in final_interesting_clips for model chirp-v3p5-engine-t-3:\n", "65,496\n", "done (370508, 55)\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": null, "metadata": { "ExecuteTime": { "end_time": "2024-05-26T00:25:10.265241Z", "start_time": "2024-05-26T00:25:09.934743Z" }, "execution": { "iopub.execute_input": "2024-09-14T21:27:38.014724Z", "iopub.status.busy": "2024-09-14T21:27:38.014550Z", "iopub.status.idle": "2024-09-14T21:27:38.242594Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total Unique Users:\n", "--------------------\n", "831,744\n", "--------------------\n", "Series([], Name: count, dtype: int64)\n", "(0, 45)\n" ] }, { "data": { "text/html": [ "
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idpasswordlast_loginis_superuserusernamefirst_namelast_nameemailis_staffis_activedate_joined
027205089NoneFalseperkintonpatricia441@gmail.comperkintonpatricia441@gmail.comFalseTrue2024-07-08 16:16:06.847119+00:00
\n", "
" ], "text/plain": [ " id password last_login is_superuser username first_name last_name email is_staff is_active date_joined\n", "0 27205089 None False perkintonpatricia441@gmail.com perkintonpatricia441@gmail.com False True 2024-07-08 16:16:06.847119+00:00" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Calculate the number of unique users\n", "total_unique_users = clip_df[\"user_id\"].nunique()\n", "\n", "# Print the result in a nicely formatted way\n", "print(\"Total Unique Users:\")\n", "print(\"-\" * 20)\n", "print(f\"{total_unique_users:,}\")\n", "print(\"-\" * 20)\n", "\n", "# This can take a while cause we have a lot of users...\n", "# query = \"\"\"\n", "# SELECT *\n", "# FROM auth_user\n", "# \"\"\"\n", "# user_df = pd.read_sql_query(query, engine)\n", "# user_df.head()\n", "\n", "test_user_id = 4688272\n", "print(\n", " clip_df[clip_df[\"user_id\"] == test_user_id][\"created_at\"].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=27205089\n", "\"\"\"\n", "# 3 keenan\n", "# 6 martin\n", "# 8 tony -- that's me!\n", "# 186417 georg\n", "test_user_df = pd.read_sql_query(query, engine)\n", "test_user_df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Find some weird generations" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:27:38.243408Z", "iopub.status.busy": "2024-09-14T21:27:38.243253Z", "iopub.status.idle": "2024-09-14T21:28:18.171133Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Shape of no_reaction_clip_df:\n", "(3182169, 45)\n", "\n", "Proportion of clips without reactions:\n", "24.73%\n", "Ratio of clips without reactions to total clips from the same users:\n", "0.8505\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "free 16596\n", "pro 2278\n", "Ratio of clips from super bad users: 3.80%\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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:18.172004Z", "iopub.status.busy": "2024-09-14T21:28:18.171843Z", "iopub.status.idle": "2024-09-14T21:28:18.193817Z" } }, "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": { "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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:18.194566Z", "iopub.status.busy": "2024-09-14T21:28:18.194424Z", "iopub.status.idle": "2024-09-14T21:28:18.238255Z" } }, "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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:18.238944Z", "iopub.status.busy": "2024-09-14T21:28:18.238803Z", "iopub.status.idle": "2024-09-14T21:28:18.852425Z" } }, "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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:18.853182Z", "iopub.status.busy": "2024-09-14T21:28:18.853039Z", "iopub.status.idle": "2024-09-14T21:28:19.313726Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(65496, 55)\n", "(55818, 55)\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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:19.314571Z", "iopub.status.busy": "2024-09-14T21:28:19.314417Z", "iopub.status.idle": "2024-09-14T21:28:36.374663Z" } }, "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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:39.288386Z", "iopub.status.busy": "2024-09-14T21:28:39.288234Z", "iopub.status.idle": "2024-09-14T21:28:39.384362Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fraction of clips that pass the play duration cut: 0.6421\n", "Number of unique requests passing play duration criteria: 23901\n", "Fraction of unique requests that pass play duration criteria: 0.8564\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", ") | (\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", ")\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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:39.385126Z", "iopub.status.busy": "2024-09-14T21:28:39.384970Z", "iopub.status.idle": "2024-09-14T21:28:39.584012Z" } }, "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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:39.584835Z", "iopub.status.busy": "2024-09-14T21:28:39.584687Z", "iopub.status.idle": "2024-09-14T21:28:39.643635Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of unique request IDs: 11,937, Total 27909\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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:39.644384Z", "iopub.status.busy": "2024-09-14T21:28:39.644240Z", "iopub.status.idle": "2024-09-14T21:28:39.677277Z" } }, "outputs": [ { "data": { "text/plain": [ "(task\n", " cover 52292\n", " extend 3206\n", " 294\n", " artist_consistency 16\n", " infill 10\n", " Name: count, dtype: int64,\n", " task\n", " cover 22126\n", " extend 1628\n", " 112\n", " infill 8\n", " Name: count, dtype: int64)" ] }, "execution_count": 76, "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": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:39.678014Z", "iopub.status.busy": "2024-09-14T21:28:39.677873Z", "iopub.status.idle": "2024-09-14T21:28:39.751439Z" } }, "outputs": [ { "data": { "text/plain": [ "5267" ] }, "execution_count": 77, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subset_v4_clips_df_test[subset_v4_clips_df_test[\"task\"] == \"cover\"][\"user_id\"].nunique()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:39.752165Z", "iopub.status.busy": "2024-09-14T21:28:39.752023Z", "iopub.status.idle": "2024-09-14T21:28:39.769885Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(23874, 66)\n" ] } ], "source": [ "# final_subset_v4_clips_df.to_pickle(\n", "# \"/home/tony/Data/Preference/30b_v2/interesting_clips_v4_t_3_20240901_full.pkl\",\n", "# )\n", "print(final_subset_v4_clips_df.shape)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:39.770730Z", "iopub.status.busy": "2024-09-14T21:28:39.770589Z", "iopub.status.idle": "2024-09-14T21:28:39.814563Z" } }, "outputs": [], "source": [ "# subset_v4_clips_df.to_pickle(\n", "# \"/home/tony/Data/Preference/30b_v2/interesting_clips_v4_t_3_20240901_full.pkl\",\n", "# )\n", "# print(subset_v4_clips_df.shape)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:39.815403Z", "iopub.status.busy": "2024-09-14T21:28:39.815125Z", "iopub.status.idle": "2024-09-14T21:28:39.854831Z" } }, "outputs": [], "source": [ "# subset_v4_clips_df_test[subset_v4_clips_df_test[\"task\"] == \"infill\"][\"id_x\"] #[\"total_play_time\"]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:39.855547Z", "iopub.status.busy": "2024-09-14T21:28:39.855407Z", "iopub.status.idle": "2024-09-14T21:28:40.801295Z" } }, "outputs": [ { "data": { "text/html": [ "
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s3_iduser_idprompt_textpreferencemodel_name
\n", "
" ], "text/plain": [ "Empty DataFrame\n", "Columns: [s3_id, user_id, prompt_text, preference, model_name]\n", "Index: []" ] }, "execution_count": 81, "metadata": {}, "output_type": "execute_result" } ], "source": [ "paired_requests = user_intersting_clips_3p5[user_intersting_clips_3p5[\"model_name\"] == \"chirp-v3p5-engine-t-3-r\"][\"request_id\"].unique()\n", "wtf_df = user_intersting_clips_3p5[user_intersting_clips_3p5[\"request_id\"].isin(paired_requests)]\n", "wtf_df[[\"s3_id\", \"user_id\", \"prompt_text\", \"preference\", \"model_name\"]]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:40.802035Z", "iopub.status.busy": "2024-09-14T21:28:40.801891Z", "iopub.status.idle": "2024-09-14T21:28:41.302754Z" } }, "outputs": [ { "data": { "text/plain": [ "task\n", " 10979618\n", "extend 1436021\n", "cover 451070\n", "artist_consistency 260\n", "infill 246\n", "Name: count, dtype: int64" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clip_df[\"task\"].value_counts()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:41.303438Z", "iopub.status.busy": "2024-09-14T21:28:41.303291Z", "iopub.status.idle": "2024-09-14T21:28:41.958124Z" } }, "outputs": [], "source": [ "non_pro_cover_users = clip_df[(~clip_df[\"is_pro_user\"]) & (clip_df[\"task\"] == \"cover\")][\"user_id\"].unique()\n", "non_pro_cover_users_str = \",\".join(f\"'{str(u)}'\" for u in non_pro_cover_users)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2024-09-14T21:28:41.958800Z", "iopub.status.busy": "2024-09-14T21:28:41.958660Z", "iopub.status.idle": "2024-09-14T21:28:42.027526Z" } }, "outputs": [ { "data": { "text/html": [ "
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6329001972NoneFalseadailton.dssilva@gmail.comadailton.dssilva@gmail.comFalseTrue2024-07-13 23:32:33.305848+00:00
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6529192977NoneFalsekorenaroas1@gmail.comkorenaroas1@gmail.comFalseTrue2024-07-14 16:07:02.472897+00:00
6629900400NoneFalsedliudvichenko@gmail.comdliudvichenko@gmail.comFalseTrue2024-07-16 17:07:49.910620+00:00
6730269238NoneFalsepac0boy91@gmail.compac0boy91@gmail.comFalseTrue2024-07-17 17:47:44.062831+00:00
6831425754NoneFalse+19548504636FalseTrue2024-07-21 01:19:01.949029+00:00
6937225412NoneFalsenkt2589@yahoo.co.jpnkt2589@yahoo.co.jpFalseTrue2024-08-08 14:42:54.337343+00:00
7037657796NoneFalseleanderholm@gmail.comleanderholm@gmail.comFalseTrue2024-08-09 19:26:30.174620+00:00
7138310672NoneFalsevhd.azer@gmail.comvhd.azer@gmail.comFalseTrue2024-08-11 21:42:45.197524+00:00
7238929791NoneFalsepngrkrb@gmail.compngrkrb@gmail.comFalseTrue2024-08-13 20:19:12.580010+00:00
7338941686NoneFalsedandizz@live.comdandizz@live.comFalseTrue2024-08-13 21:06:25.173795+00:00
7438997773NoneFalsemonsieurcaca13@gmail.commonsieurcaca13@gmail.comFalseTrue2024-08-14 01:30:56.612567+00:00
7539030416NoneFalseclairesapan31@gmail.comclairesapan31@gmail.comFalseTrue2024-08-14 03:59:56.193666+00:00
7639148873NoneFalsechristianisaacperez@gmail.comchristianisaacperez@gmail.comFalseTrue2024-08-14 13:10:36.118306+00:00
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\n", "
" ], "text/plain": [ " id password last_login is_superuser username first_name last_name email is_staff is_active date_joined\n", "0 2510 None False vincefav#0 vincefav507@gmail.com False True 2023-07-22 00:39:06.650945+00:00\n", "1 103852 None False itsthejimjam3 jamesdellarocco@gmail.com False True 2023-10-31 19:21:25.247887+00:00\n", "2 106779 None False noctis7 noctis59126@gmail.com False True 2023-11-03 18:39:49.957406+00:00\n", "3 108677 None False pashail pasha.tsyganov@gmail.com False True 2023-11-05 11:17:47.329968+00:00\n", "4 108828 None False dai_ling_ping dai_ling_ping@hotmail.co.uk False True 2023-11-05 12:40:18.379653+00:00\n", "5 141341 None False peace@peace.re.kr peace@peace.re.kr False True 2023-11-15 23:29:20.213665+00:00\n", "6 148474 None False dasorlimmortale@gmail.com dasorlimmortale@gmail.com False True 2023-11-16 10:30:54.594198+00:00\n", "7 155672 None False noermanto@gmail.com noermanto@gmail.com False True 2023-11-16 19:24:09.735741+00:00\n", "8 544716 None False rodrigofugi@gmail.com rodrigofugi@gmail.com False True 2023-11-30 14:08:52.290231+00:00\n", "9 929287 None False liapin.guitar@gmail.com liapin.guitar@gmail.com False True 2023-12-06 21:36:57.004026+00:00\n", "10 1150249 None False marcelogiorgetti@gmail.com marcelogiorgetti@gmail.com False True 2023-12-12 17:49:28.496169+00:00\n", "11 1354015 None False vpenichetorres@gmail.com vpenichetorres@gmail.com False True 2023-12-15 20:25:52.428528+00:00\n", "12 1525362 None False chhinergy@gmail.com chhinergy@gmail.com False True 2023-12-20 17:20:56.866564+00:00\n", "13 1913180 None False ceo.erickluis00@gmail.com ceo.erickluis00@gmail.com False True 2023-12-25 23:43:29.680506+00:00\n", "14 2369160 None False salkov.87@gmail.com salkov.87@gmail.com False True 2024-01-03 14:00:57.068278+00:00\n", "15 2937377 None False minhpham102012@gmail.com minhpham102012@gmail.com False True 2024-01-13 15:48:44.879610+00:00\n", "16 3749422 None False trollyatcom@gmail.com trollyatcom@gmail.com False True 2024-01-27 06:39:16.482365+00:00\n", "17 4464971 None False dustfrequency@gmail.com dustfrequency@gmail.com False True 2024-02-12 17:45:59.366207+00:00\n", "18 4918308 None False satishrao0107@gmail.com satishrao0107@gmail.com False True 2024-02-24 16:15:56.699191+00:00\n", "19 4969451 None False john.funk324@gmail.com john.funk324@gmail.com False True 2024-02-26 03:25:59.404361+00:00\n", "20 5003311 None False sankongjin@gmail.com sankongjin@gmail.com False True 2024-02-27 03:59:17.549107+00:00\n", "21 5344962 None False lennsen.lr@gmail.com lennsen.lr@gmail.com False True 2024-03-06 18:57:06.038312+00:00\n", "22 5382676 None False spiritdarckdragon@hotmail.com spiritdarckdragon@hotmail.com False True 2024-03-07 08:11:15.902599+00:00\n", "23 5963840 None False lcalvolema@gmail.com lcalvolema@gmail.com False True 2024-03-17 12:57:00.245278+00:00\n", "24 6129776 None False 6ixamu@gmail.com 6ixamu@gmail.com False True 2024-03-19 14:53:31.863525+00:00\n", "25 7106727 None False dabralgaurav22@gmail.com dabralgaurav22@gmail.com False True 2024-03-26 11:01:42.718846+00:00\n", "26 7217893 None False mr.anthony.hood@gmail.com mr.anthony.hood@gmail.com False True 2024-03-26 23:43:05.000631+00:00\n", "27 8438506 None False alexxander71@gmail.com alexxander71@gmail.com False True 2024-03-31 04:47:55.449327+00:00\n", "28 9614512 None False andy.e.perez100@gmail.com andy.e.perez100@gmail.com False True 2024-04-04 13:15:49.868818+00:00\n", "29 10779914 None False n10111010000@gmail.com n10111010000@gmail.com False True 2024-04-07 21:35:27.853091+00:00\n", "30 10953222 None False arsprompter@gmail.com arsprompter@gmail.com False True 2024-04-08 10:22:24.188919+00:00\n", "31 11614821 None False onurturk1967@gmail.com onurturk1967@gmail.com False True 2024-04-10 17:56:30.525871+00:00\n", "32 11964153 None False contactchrisawhite@gmail.com contactchrisawhite@gmail.com False True 2024-04-11 23:12:09.851761+00:00\n", "33 12274980 None False deps6242@gmail.com deps6242@gmail.com False True 2024-04-13 11:31:59.154875+00:00\n", "34 12481963 None False gyurkadani@gmail.com gyurkadani@gmail.com False True 2024-04-14 15:41:39.854590+00:00\n", "35 12752338 None False stephenschrepfer@yahoo.com stephenschrepfer@yahoo.com False True 2024-04-16 06:05:26.310362+00:00\n", "36 12762517 None False mariblanken@gmail.com mariblanken@gmail.com False True 2024-04-16 07:54:15.213791+00:00\n", "37 13296007 None False bghfktu@gmail.com bghfktu@gmail.com False True 2024-04-19 07:58:51.950195+00:00\n", "38 13577835 None False mayitoceb85@gmail.com mayitoceb85@gmail.com False True 2024-04-20 19:12:59.935374+00:00\n", "39 15613755 None False finlaymorgan432@gmail.com finlaymorgan432@gmail.com False True 2024-05-01 17:21:34.660090+00:00\n", "40 15755354 None False fnatictrasqro@gmail.com fnatictrasqro@gmail.com False True 2024-05-02 13:59:03.370330+00:00\n", "41 16231062 None False koplaxs1992@gmail.com koplaxs1992@gmail.com False True 2024-05-05 05:50:27.606039+00:00\n", "42 17480443 None False chansick5531@gmail.com chansick5531@gmail.com False True 2024-05-13 04:12:27.840336+00:00\n", "43 19993964 None False sp4rkztv@gmail.com sp4rkztv@gmail.com False True 2024-05-18 06:02:25.283990+00:00\n", "44 20053136 None False monkstylites@gmail.com monkstylites@gmail.com False True 2024-05-18 15:57:18.261653+00:00\n", "45 20580839 None False ottoericpersson@gmail.com ottoericpersson@gmail.com False True 2024-05-22 11:54:46.881776+00:00\n", "46 21433464 None False wowfactorsgotemcrazy@gmail.com wowfactorsgotemcrazy@gmail.com False True 2024-05-28 04:20:25.901004+00:00\n", "47 21791043 None False tanpc570@gmail.com tanpc570@gmail.com False True 2024-05-30 14:52:20.475854+00:00\n", "48 21991413 None False ratcenkovandrej@gmail.com ratcenkovandrej@gmail.com False True 2024-05-31 22:41:21.852651+00:00\n", "49 22450940 None False ksanupama@gmail.com ksanupama@gmail.com False True 2024-06-04 09:55:05.150800+00:00\n", "50 22810765 None False hogskulen@gmail.com hogskulen@gmail.com False True 2024-06-06 18:09:43.906005+00:00\n", "51 23036670 None False tylersmithgreg@gmail.com tylersmithgreg@gmail.com False True 2024-06-08 10:13:02.543272+00:00\n", "52 23532810 None False axpnhetb@mail.ru axpnhetb@mail.ru False True 2024-06-11 23:56:02.574468+00:00\n", "53 23574504 None False thesilentyeti@gmail.com thesilentyeti@gmail.com False True 2024-06-12 07:52:41.044579+00:00\n", "54 23819736 None False sjchaplinski@gmail.com sjchaplinski@gmail.com False True 2024-06-13 18:41:13.082143+00:00\n", "55 23936193 None False gn2015blue@gmail.com gn2015blue@gmail.com False True 2024-06-14 14:08:56.548999+00:00\n", "56 24879370 None False aekkachalnochal@gmail.com aekkachalnochal@gmail.com False True 2024-06-20 15:29:07.268369+00:00\n", "57 25129622 None False waddleradio@gmail.com waddleradio@gmail.com False True 2024-06-22 16:19:23.722006+00:00\n", "58 25181176 None False yukimann3@gmail.com yukimann3@gmail.com False True 2024-06-23 04:40:43.090063+00:00\n", "59 26195735 None False tsatlook@gmail.com tsatlook@gmail.com False True 2024-07-01 03:28:24.433216+00:00\n", "60 26566064 None False peter20021212@gmail.com peter20021212@gmail.com False True 2024-07-03 18:59:30.229406+00:00\n", "61 28053489 None False kurtbrowder@gmail.com kurtbrowder@gmail.com False True 2024-07-11 04:28:23.813479+00:00\n", "62 28974953 None False chaber70@gmail.com chaber70@gmail.com False True 2024-07-13 21:23:59.463244+00:00\n", "63 29001972 None False adailton.dssilva@gmail.com adailton.dssilva@gmail.com False True 2024-07-13 23:32:33.305848+00:00\n", "64 29036278 None False shimetsukage@gmail.com shimetsukage@gmail.com False True 2024-07-14 02:57:04.230942+00:00\n", "65 29192977 None False korenaroas1@gmail.com korenaroas1@gmail.com False True 2024-07-14 16:07:02.472897+00:00\n", "66 29900400 None False dliudvichenko@gmail.com dliudvichenko@gmail.com False True 2024-07-16 17:07:49.910620+00:00\n", "67 30269238 None False pac0boy91@gmail.com pac0boy91@gmail.com False True 2024-07-17 17:47:44.062831+00:00\n", "68 31425754 None False +19548504636 False True 2024-07-21 01:19:01.949029+00:00\n", "69 37225412 None False nkt2589@yahoo.co.jp nkt2589@yahoo.co.jp False True 2024-08-08 14:42:54.337343+00:00\n", "70 37657796 None False leanderholm@gmail.com leanderholm@gmail.com False True 2024-08-09 19:26:30.174620+00:00\n", "71 38310672 None False vhd.azer@gmail.com vhd.azer@gmail.com False True 2024-08-11 21:42:45.197524+00:00\n", "72 38929791 None False pngrkrb@gmail.com pngrkrb@gmail.com False True 2024-08-13 20:19:12.580010+00:00\n", "73 38941686 None False dandizz@live.com dandizz@live.com False True 2024-08-13 21:06:25.173795+00:00\n", "74 38997773 None False monsieurcaca13@gmail.com monsieurcaca13@gmail.com False True 2024-08-14 01:30:56.612567+00:00\n", "75 39030416 None False clairesapan31@gmail.com clairesapan31@gmail.com False True 2024-08-14 03:59:56.193666+00:00\n", "76 39148873 None False christianisaacperez@gmail.com christianisaacperez@gmail.com False True 2024-08-14 13:10:36.118306+00:00\n", "77 42888518 None False hugwud1214@gmail.com hugwud1214@gmail.com False True 2024-08-28 16:33:18.246329+00:00" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "query = f\"\"\"\n", "SELECT *\n", "FROM auth_user\n", "WHERE id in ({non_pro_cover_users_str}) AND is_staff is False\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": "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 }