





from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame




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


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









def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		)    ->       int:

  if exponent == 1:
    return base
  if exponent % 2 == 0:
    lowercase__           =  _modexpt(_SCREAMING_SNAKE_CASE		,						exponent // 2		,						_SCREAMING_SNAKE_CASE		) % modulo_value
    return (x * x) % modulo_value
  else:
    return (base * _modexpt(_SCREAMING_SNAKE_CASE		,						exponent - 1		,						_SCREAMING_SNAKE_CASE		)) % modulo_value




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE = 1777		,						_SCREAMING_SNAKE_CASE = 1855		,						_SCREAMING_SNAKE_CASE = 8		)    ->       int:
  lowercase__           =  base
  for _ in range(1		,						_SCREAMING_SNAKE_CASE		):
    lowercase__           =  _modexpt(_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		,						10**digits		)

  return result


if __name__ == "__main__":
      print(f'''{solution() = }''')


