This script automates the process of unliking tweets on Twitter using browser JavaScript console. It repeatedly finds and clicks the "unlike" button on tweets until no more are found, up to a maximum count.
| """ | |
| In this example, we're configuring Celery to use heartbeats. | |
| We've set the worker_heartbeat option to 120 seconds, which means | |
| that each worker will send a heartbeat message to the broker every 2 minutes. | |
| This can help to ensure that tasks are not lost if a worker goes offline or crashes. | |
| """ | |
| from celery import Celery | |
| app = Celery('tasks', broker='pyamqp://guest@localhost//') |
| """ | |
| In this example, we're configuring Celery to prefetch 10 tasks at a time. | |
| This means that each worker will load up to 10 tasks into its memory before | |
| they are executed. This can help to reduce the time it takes to fetch new | |
| tasks from the broker, and can improve overall performance. | |
| """ | |
| from celery import Celery | |
| app = Celery('tasks', broker='pyamqp://guest@localhost//') |
| """ | |
| In this example, we're configuring Celery to use threads for concurrency. | |
| We've set the task_concurrency option to 4, which means that each worker | |
| can handle up to 4 tasks simultaneously. We've also set the worker_prefetch_multiplier | |
| option to 1, which means that each worker will only prefetch one task at a time. | |
| """ | |
| from celery import Celery | |
| app = Celery('tasks', broker='pyamqp://guest@localhost//') |
| # https://www.redblobgames.com/grids/hexagons/ "double-height" horizontal layout | |
| import random | |
| import math | |
| class Cell(): | |
| """ Hexagonal cell """ | |
| def __init__(self, x, y, walls=[0,1,2,3,4,5]): | |
| """ x,y int | |
| walls : list of number 0..5 | |
| """ |
| import argparse | |
| import librosa | |
| import numpy as np | |
| import os | |
| import scipy | |
| import scipy.io.wavfile | |
| import sys | |
| from glob import glob | |
| from tqdm import tqdm |
| from pydub import AudioSegement | |
| def load_audio(audio_path, ext): | |
| return AudioSegement.from_file(audio_path, format=ext) | |
| def speed_change(audio, speed): | |
| audio_with_altered_frame_rate = audio._spawn( | |
| audio.raw_data, overrides={ | |
| "frame_rate": int(audio.frame_rate * speed) | |
| }) |
| # python generate_spectrogram.py --audio-dir /path/to/audio_dir/ --spectrogram-dir /path/to/spectrogram_dir/ | |
| import argparse | |
| from __future__ import division, print_function | |
| from os import listdir | |
| from os.path import isfile, join | |
| from matplotlib import pyplot as plt | |
| import scipy.io.wavfile as wav |
