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import tensorflow as tf
import time
import matplotlib.pyplot as plt

# Checking CUDA
print("TensorFlow:", tf.__version__)
print("CUDA path:", tf.sysconfig.get_lib())
print("CUDA include path:", tf.sysconfig.get_include())

# Checking if GPU is detected:

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from textblob import TextBlob

text = "As a large language model I'm proud of my ability to pass butter."
sentiment = TextBlob(text).sentiment

polarity_score = sentiment.polarity  # Between -1 (negative) and 1 (positive)
subjectivity_score = sentiment.subjectivity  # Between 0 (objective) and 1 (subjective)

print(text)
print(f"Polarity: {polarity_score}")

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<div id="google_translate_element" class="google"></div>

<script type="text/javascript">
  function googleTranslateElementInit() {
    new google.translate.TranslateElement({
      pageLanguage: 'en',
      includedLanguages: 'en,es,fr,ca,eu,gl,it,pt,de,cn,ar,hi,bn,ru,ja,el,iw,pl,sv,ro,no,ko,nl,da,th,vi,el,uk,sl,sr,sk,tr,fi,lv,lt,et,id,hu,hr,ur,ms',
      layout: google.translate.TranslateElement.InlineLayout.SIMPLE,
      gaTrack: true,
      targetLanguage: 'en'

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import time
import os
import platform
from random import choice

def zalgo(text, Z):
    marks = list(map(chr, range(768, 879)))
    words = text.split()
    result = ' '.join(
        ''.join(

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# %%
import requests
import json

# %%
# About IndexNow: https://www.bing.com/indexnow/getstarted
# IndexNow is an open-source protocol created by Microsoft Bing and Yandex. 
# IndexNow allows websites to notify participating search engines about content changes, 
# such as updates, additions, or deletions, through a simple API call.

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# ! pip install pdf2image
# Download Poppler: https://github.com/oschwartz10612/poppler-windows/releases/
# Add the /bin Poppler directory to PATH
from pdf2image import convert_from_path
images=convert_from_path("file_name.pdf",
                         poppler_path="C:/Users/.../Release-24.08.0-0/poppler-24.08.0/Library/bin") # Your path to Poppler binaries
for i in range(len(images)):
        images[i].save('pdf_to_image/page_'+ str(i) +'.jpg', 'JPEG')