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/* tested with WordPress 5.53 & WooCommerce 4.7.1*/

function disable_image_sizes($sizes) {

	unset($sizes['small']);
	unset($sizes['medium']);
	unset($sizes['large']); 
	unset($sizes['medium_large']);
	unset($sizes['1536x1536']);
	unset($sizes['2048x2048']); 

mouthoftiger

For this answer, I refer to querySelector and querySelectorAll as querySelector* and to getElementById, getElementsByClassName, getElementsByTagName, and getElementsByName as getElement*.

Main Differences
querySelector* is more flexible, as you can pass it any CSS3 selector, not just simple ones for id, tag, or class.
The performance of querySelector* changes with the size of the DOM that it is invoked on. To be precise, querySelector* calls run in O(n) time and getElement* calls run in O(1) time, where n is the total number of all children of the element or document it is invoked on. This fact seems to be the least well-known, so I am bolding it.
getElement* calls return direct references to the DOM, whereas querySelector* internally makes copies of the selected elements before returning references to them. These are referred to as "live" and "static" elements. This is NOT strictly related to the types that they return. There is no way I know of to tell if an element is live or static programmatically, as 

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W0731 18:11:18.638053  8228 deprecation.py:506]
model.py:27: calling Constant.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor

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https://github.com/richardassar/SampleRNN_torch (torch version)
https://github.com/soroushmehr/sampleRNN_ICLR2017

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<template>
  <div id="homepage">
    <h1>Les dernières Articles</h1>
    <div class="article" v-for="article in articles">
      <h2> {{ article.title }} </h2>
      <p> {{ article.content }} </p>
    </div>
  </div>
</template>

mouthoftiger

The latest stable release is available on PyPI, and you can install it by saying

pip install librosa
Anaconda users can install using conda-forge:

conda install -c conda-forge librosa
To build librosa from source, say python setup.py build. Then, to install librosa, say python setup.py install. If all went well, you should be able to execute the demo scripts under examples/ (OS X users should follow the installation guide given below).

Alternatively, you can download or clone the repository and use pip to handle dependencies:

mouthoftiger

/* Typography
--------------------------*/
body {
  color:<?php the_field('default_text_color','option');?>;
  font-size:<?php the_field('default_font_size','option');?>px;
  font-family:<?php the_field('default_text_font_family','option');?>;
  line-height:<?php the_field('default_text_line_height','option');?>;
}
 
h1,h2,h3,h4,h5,h6 {

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import argparse
import sys
import fnmatch
import os
import numpy as np
import librosa
from sklearn.manifold import TSNE
import json

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#!/usr/bin/env python
""PIL""

import Image
import os, sys

def resizeImage(infile, output_dir="", size=(1024,768)):
     outfile = os.path.splitext(infile)[0]+"_resized"
     extension = os.path.splitext(infile)[1]

mouthoftiger

from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as ec
from selenium.webdriver.common.by import By
from bs4 import BeautifulSoup
from urllib import urlretrieve
import os
import Tkinter, Tkconstants, tkFileDialog
import time