




"""simple docstring"""

from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame

def 						lowercase_					(						_UpperCAmelCase = "laptop"		):




	"""simple docstring"""






	A_     : Any		      =						f"""https://www.amazon.in/laptop/s?k={product}"""
	A_     : Optional[int]		      =						{
	    '''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''',
	}
	A_     : Any		      =						BeautifulSoup(requests.get(_lowerCamelCase     ,					headers=_lowerCamelCase		).text		)
	# Initialize a Pandas dataframe with the column titles
	A_     : Dict		      =						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:
			A_     : Union[str, Any]		      =						item.ha.text
			A_     : List[Any]		      =						'''https://www.amazon.in/''' + item.ha.a['''href''']
			A_     : List[str]		      =						item.find('''span'''     ,					attrs={'''class''': '''a-offscreen'''}		).text
			try:
				A_     : Any		      =						item.find('''span'''     ,					attrs={'''class''': '''a-icon-alt'''}		).text
			except AttributeError:
				A_     : List[Any]		      =						'''Not available'''
			try:
				A_     : Dict		      =						(
				    '''₹'''
				    + item.find(
				        '''span'''     ,					attrs={'''class''': '''a-price a-text-price'''}		).text.split('''₹'''		)[1]
				)
			except AttributeError:
				A_     : List[Any]		      =						''''''
			try:
				A_     : Union[str, Any]		      =						float(
				    (
				        (
				            float(product_mrp.strip('''₹'''		).replace(''','''     ,					''''''		)		)
				            - float(product_price.strip('''₹'''		).replace(''','''     ,					''''''		)		)
				        )
				        / float(product_mrp.strip('''₹'''		).replace(''','''     ,					''''''		)		)
				    )
				    * 100		)
			except ValueError:
				A_     : Any		      =						float('''nan'''		)
		except AttributeError:
			pass
		A_     : Union[str, Any]		      =						[
		    product_title,
		    product_link,
		    product_price,
		    product_rating,
		    product_mrp,
		    discount,
		]
	A_     : Any		      =						''' '''
	A_     : str		      =						''' '''
	data_frame.index += 1
	return data_frame


if __name__ == "__main__":
		_lowerCamelCase     :	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()




