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<script>
window.dataLayer = window.dataLayer || [];
try{
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        if(contentTags.length>1){
	   for(var i=1;i<contentTags.length;i++){
		window.dataLayer.push({
 			'event': 'contentViewed',
 			'contentTag': contentTags[i].innerHTML
 		});

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<script>  
  var contentDiv = document.querySelector(".et-pb-contact-message");
  var MutationObserver = window.MutationObserver || window.WebKitMutationObserver;
  var observer = new MutationObserver(function(mutations) {
    mutations.forEach(function(mutation) {
      if(mutation.type==="childList"&& contentDiv.innerHTML.indexOf("Merci pour votre e-mail") !=-1) {
        dataLayer.push({'event': 'contactFormSent'});
        observer.disconnect();
      }
    });    

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window.addEventListener('message', function (e) {
    console.log(e.data)
});

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//Listen to datalaLayer.push calls (does not actually execute the push)
dataLayer.push = function(obj){ console.log('Something was pushed in the dataLayer');console.log(obj);}

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// Step 1. Add and initialize your third-party JavaScript pixel (make sure to exclude HTML)
(function(w, d, s, l, i) {
    w[l] = w[l] || [];
    w[l].push({
        'gtm.start': new Date().getTime(),
        event: 'gtm.js'
    });
    var f = d.getElementsByTagName(s)[0],
        j = d.createElement(s),
        dl = l != 'dataLayer' ? '&l=' + l : '';

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def split(arr, size):
    """Splits an array to smaller arrays of size"""
    arrays = []
    while len(arr) > size:
        piece = arr[:size]
        arrays.append(piece)
        arr = arr[size:]
    arrays.append(arr)
    return arrays

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def take_out_elements(list_object, indices):
    """Removes elements from list in specified indices"""
    removed_elements = []
    indices = sorted(indices, reverse=True)
    for idx in indices:
        if idx < len(list_object):
            removed_elements.append(list_object.pop(idx))
    return removed_elements

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from PIL import Image

def add_border(input_image_path, output_image_path, border_size=100):
    # Open an existing image
    img = Image.open(input_image_path)
    
    # Get the size of the original image
    width, height = img.size
    
    # Make the new image size as the original size plus the border

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check https://github.com/KeithGalli/NumPy/blob/master/NumPy%20Tutorial.ipynb and https://www.youtube.com/watch?v=QUT1VHiLmmI&t=2134s

import numpy as np

x = np.array([[1,2,3],[3,4,5],[1,2,5]])

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"""
Script to Remove Duplicate Images from a Folder

This script identifies and removes duplicate images within a specified folder.
It uses perceptual hashing to generate a unique fingerprint for each image, 
allowing it to detect duplicates even if the files have different names or formats.

What the Code Does:
-------------------
1. Scans the specified folder for image files (supports common formats such as