






"""simple docstring"""





from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame







def      lowerCamelCase__       (							_lowerCamelCase       :		str = "laptop" )      ->				DataFrame:
  lowerCamelCase_         =						F'''https://www.amazon.in/laptop/s?k={product}'''
  lowerCamelCase_         =						{
      'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36\n        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36',
      'Accept-Language': 'en-US, en;q=0.5',
  }
  lowerCamelCase_         =						BeautifulSoup(requests.get(_lowerCamelCase		,				headers=_lowerCamelCase ).text )
  # Initialize a Pandas dataframe with the column titles
  lowerCamelCase_         =						DataFrame(
      columns=[
          'Product Title',
          'Product Link',
          'Current Price of the product',
          'Product Rating',
          'MRP of the product',
          'Discount',
      ] )
  # Loop through each entry and store them in the dataframe
  for item, _ in zip_longest(
      soup.find_all(
          'div'		,				attrs={'class': 's-result-item', 'data-component-type': 's-search-result'}		,				)		,				soup.find_all('div'		,				attrs={'class': 'a-row a-size-base a-color-base'} )		,				):
    try:
      lowerCamelCase_         =						item.ha.text
      lowerCamelCase_         =						'https://www.amazon.in/' + item.ha.a['href']
      lowerCamelCase_         =						item.find('span'		,				attrs={'class': 'a-offscreen'} ).text
      try:
        lowerCamelCase_         =						item.find('span'		,				attrs={'class': 'a-icon-alt'} ).text
      except AttributeError:
        lowerCamelCase_         =						'Not available'
      try:
        lowerCamelCase_         =						(
            '₹'
            + item.find(
                'span'		,				attrs={'class': 'a-price a-text-price'} ).text.split('₹' )[1]
        )
      except AttributeError:
        lowerCamelCase_         =						''
      try:
        lowerCamelCase_         =						float(
            (
                (
                    float(product_mrp.strip('₹' ).replace(','		,				'' ) )
                    - float(product_price.strip('₹' ).replace(','		,				'' ) )
                )
                / float(product_mrp.strip('₹' ).replace(','		,				'' ) )
            )
            * 100 )
      except ValueError:
        lowerCamelCase_         =						float('nan' )
    except AttributeError:
      pass
    lowerCamelCase_         =						[
        product_title,
        product_link,
        product_price,
        product_rating,
        product_mrp,
        discount,
    ]
  lowerCamelCase_         =						' '
  lowerCamelCase_         =						' '
  data_frame.index += 1
  return data_frame


if __name__ == "__main__":
  _SCREAMING_SNAKE_CASE					:				Any					    =						'''headphones'''
  get_amazon_product_data(product).to_csv(F'''Amazon Product Data for {product}.csv''')












"""simple docstring"""





import string







def      lowerCamelCase__       (							_lowerCamelCase       :		str )      ->				None:
  for key in range(len(string.ascii_uppercase ) ):
    lowerCamelCase_         =						''
    for symbol in message:
      if symbol in string.ascii_uppercase:
        lowerCamelCase_         =						string.ascii_uppercase.find(_lowerCamelCase )
        lowerCamelCase_         =						num - key
        if num < 0:
          lowerCamelCase_         =						num + len(string.ascii_uppercase )
        lowerCamelCase_         =						translated + string.ascii_uppercase[num]
      else:
        lowerCamelCase_         =						translated + symbol
    print(F'''Decryption using Key #{key}: {translated}''' )







def      lowerCamelCase__       (							)      ->				None:
  lowerCamelCase_         =						input('Encrypted message: ' )
  lowerCamelCase_         =						message.upper()
  decrypt(_lowerCamelCase )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()




