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#!/usr/bin/env python3
import sys
import json
# pip install google-api-python-client
from googleapiclient.discovery import build
from pprint import pprint
import isodate

api_service_name = "youtube"
api_version = "v3"

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#!/usr/bin/env python3
import time
import os
import sys
import signal
from pprint import pprint
from box import Box
import datetime
import uuid
import jwt

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import requests
from pprint import pprint
import json
import csv
import folium
import time
from folium.plugins import MarkerCluster

API_KEY = 'asdf'

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#!/usr/bin/env python3
from FlightRadar24 import FlightRadar24API
from flydenity import Parser as FlydenityParser
import airportsdata
from bs4 import BeautifulSoup
import requests
from pprint import pprint
import time
import math
import folium

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import sounddevice as sd
import numpy as np
import tensorflow as tf
import queue
from collections import defaultdict , deque
import time

# https://storage.googleapis.com/mediapipe-models/audio_classifier/yamnet/float32/latest/yamnet.tflite
# https://github.com/tensorflow/models/blob/master/research/audioset/yamnet/yamnet.py
# https://research.google.com/audioset/ontology/index.html

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import numpy as np
from pprint import pprint
import librosa
import tensorflow as tf

# https://storage.googleapis.com/mediapipe-models/audio_classifier/yamnet/float32/latest/yamnet.tflite
# https://github.com/tensorflow/models/blob/master/research/audioset/yamnet/yamnet.py
# https://research.google.com/audioset/ontology/index.html
# https://storage.googleapis.com/mediapipe-tasks/audio_classifier/yamnet_label_list.txt

0187773933

#!/usr/bin/env python3
import sys
import time
import json
import requests
from pprint import pprint
import mimetypes
from tqdm import tqdm
from concurrent.futures import ThreadPoolExecutor
from box import Box

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package main

import (
	"fmt"
	"math"
	"github.com/gordonklaus/portaudio"
)

const sample_rate = 44100
const buffer_size = 64 // Number of samples per buffer

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( ()=> {
	let episodes = document.querySelectorAll( "div.titleCardList--metadataWrapper" );
	let yaml_string = "";
	for ( let i = 0; i < episodes.length; ++i ) {
		let title_text = episodes[ i ].querySelector( "span.titleCard-title_text" ).innerText;
		let info_elem = episodes[ i ].querySelector( "div.ptrack-content" );
		// let extra_text = info_elem.innerText;
		let meta_data_ue = info_elem.getAttribute( "data-ui-tracking-context" );
		let meta_data_str = decodeURIComponent( meta_data_ue );
		let meta_data = JSON.parse( meta_data_str );

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( async ()=> {
	function sleep( ms ) { return new Promise( resolve => setTimeout( resolve , ms ) ); }
	function wait_on_element( query_selector ) {
		return new Promise( function( resolve , reject ) {
			try {
				let READY_CHECK_INTERVAL = setInterval( function() {
					let item = document.querySelectorAll( query_selector );
					if ( item ) {
						if ( item[ 0 ] ) {
							clearInterval( READY_CHECK_INTERVAL );