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| from PIL import Image, ImageSequence | |
| def zoom_effect(bg_file, fg_file): | |
| bg = Image.open(bg_file).convert('RGBA') | |
| bg = bg.resize((640,640), Image.BICUBIC) | |
| fg = Image.open(fg_file).convert('RGBA') | |
| fg = fg.resize((bg.size), Image.BICUBIC) | |
| fg_copy = fg.copy() | |
| fg_copy = fg_copy.resize((int(fg_copy.width), int(fg_copy.height))) | |
| result_images = [] |
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| import os | |
| import re | |
| search_dir = '/home/jack/Desktop/HDD500/notebooks' # Replace this with the directory where you want to search for Jupyter notebooks | |
| search_string = 'password' # Replace this with the string you want to search for | |
| replace_string = 'XXXnopassword' # Replace this with the string you want to replace the search string with | |
| for file in os.listdir(search_dir): | |
| if file.endswith('.ipynb'): | |
| with open(os.path.join(search_dir, file), 'r', encoding='utf-8') as nb_file: |
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| import os | |
| search_dir = '/home/jack/Desktop/HDD500/notebooks' # Replace this with the directory where you want to search for Jupyter notebooks | |
| search_string = 'passwords' # Replace this with the string you want to search for | |
| output_file = 'contains_passwords.txt' # Replace this with the output file name | |
| with open(output_file, 'w') as f: | |
| for file in os.listdir(search_dir): | |
| if file.endswith('.ipynb'): | |
| with open(os.path.join(search_dir, file), 'r', encoding='utf-8') as nb_file: |
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| #Locate and Copy all Jupyter notebooks in one directory | |
| import os | |
| import shutil | |
| src_dir = '/home/jack' # Replace this with the root directory where you want to search for Jupyter notebooks | |
| dst_dir = '/home/jack/Desktop/HDD500/notebooks/' # Replace this with the destination directory where you want to copy the notebooks | |
| notebooks = {} # Dictionary to keep track of notebook names and sequence numbers | |
| for root, dirs, files in os.walk(src_dir): | |
| for file in files: | |
| if file.endswith('.ipynb'): |
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| from PIL import Image, ImageFilter, ImageDraw | |
| import glob | |
| import time | |
| def circleblur(FILENAME,saveDirectory,count): | |
| im1 = Image.open(FILENAME) | |
| im1 = im1.resize((512,512), Image.BICUBIC) | |
| im2 = Image.new("RGBA",im1.size,(0,0,0,0)) | |
| mask = Image.new("L", im1.size, 0) |
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| import turtle | |
| import math | |
| from PIL import Image | |
| def lerp(a, b, t): | |
| """Linear interpolation function. returns a when t==0, returns b when t==1 | |
| and linearly interpolates for values inbetween""" | |
| return (a * (1 - t)) + (b * t) | |
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| import glob | |
| import os.path | |
| FILES = [] | |
| dir = '.' | |
| files = glob.glob(os.path.join(dir, '*.ipynb')) | |
| for file in files: | |
| print (file) | |
| FILES.append(file) | |
| def insert(data): |
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| /*! | |
| * Bootstrap v4.0.0 (https://getbootstrap.com) | |
| * Copyright 2011-2018 The Bootstrap Authors | |
| * Copyright 2011-2018 Twitter, Inc. | |
| * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) | |
| */ | |
| :root { | |
| --blue: #007bff; | |
| --indigo: #6610f2; | |
| --purple: #6f42c1; |