I hereby claim:
- I am moui72 on github.
- I am moui72 (https://keybase.io/moui72) on keybase.
- I have a public key ASBPu8IzAI4dMyYyoBIq9l8B47Iu59cHlSA6drUn5LWhlAo
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
const merger = meetings => { | |
// initialize merged blocks with first meeting | |
let merged = [meetings[0]]; | |
for (let mtg = 1; mtg < meetings.length; mtg++) { | |
// iterate over each other meeting once | |
// otherwise, look for collision btwn current mtg and existing time blocks | |
let collisionIndex = -1; | |
for(let i = 0; i < merged.length; i++){ | |
// iterate over each existing merged block | |
if ( |
import webrtcvad | |
import csv | |
import time | |
import sys | |
import wave | |
import collections | |
import contextlib | |
from os import walk | |
from os.path import join, basename | |
from pydub import AudioSegment, scipy_effects |
import webrtcvad | |
import wave | |
import collections | |
import contextlib | |
import sys | |
import glob | |
from os import walk | |
from os.path import join, basename, getctime | |
from json import dump, dumps | |
import csv |
import webrtcvad | |
import wave | |
import collections | |
import contextlib | |
import sys | |
import glob | |
from os import walk | |
from os.path import join, basename, getctime | |
from json import dump, dumps | |
import csv |
#!/bin/bash | |
# A simple script to recursively resample a bunch of files | |
# in a directory. Only certain file extensions (mp3, aac, | |
# flac, wav) are considered. | |
# | |
# It takes 3 command line options: `indir`, `outdir` and `target_sr`. | |
# The destination (`outdir`) is relative to the current | |
# directory of where you were when the script was run. | |
# The desired sample rate should be provided as `target_sr`. |
from os import walk | |
from os.path import join, basename | |
from pydub import AudioSegment | |
from json import dump, dumps | |
import pydub.scipy_effects | |
import numpy | |
import csv | |
import time |
from os import walk | |
from os.path import join, basename | |
from pydub import AudioSegment | |
import pydub.scipy_effects | |
import numpy | |
import scipy.signal as sg | |
import csv | |
def count_silent_chunks(chunks, threshold, rev=False): |
let state = { | |
..., | |
toggleables: [ | |
// propertyName: default value | |
{ visible: true }, | |
{ rankable: true } | |
], | |
... | |
} | |