

from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__ = "laptop"			):
						snake_case_  =      F'''https://www.amazon.in/laptop/s?k={product}'''
						snake_case_  =      {
						    '''User-Agent''': '''Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36
        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36''',
						    '''Accept-Language''': '''en-US, en;q=0.5''',
						}
						snake_case_  =      BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE__    ,						headers=SCREAMING_SNAKE_CASE__			).text			)
						# Initialize a Pandas dataframe with the column titles
						snake_case_  =      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:
																		snake_case_  =      item.ha.text
																		snake_case_  =      '''https://www.amazon.in/''' + item.ha.a['''href''']
																		snake_case_  =      item.find('''span'''    ,						attrs={'''class''': '''a-offscreen'''}			).text
																		try:
																								snake_case_  =      item.find('''span'''    ,						attrs={'''class''': '''a-icon-alt'''}			).text
																		except AttributeError:
																								snake_case_  =      '''Not available'''
																		try:
																								snake_case_  =      (
																								    '''₹'''
																								    + item.find(
																								        '''span'''    ,						attrs={'''class''': '''a-price a-text-price'''}			).text.split('''₹'''			)[1]
																								)
																		except AttributeError:
																								snake_case_  =      ''''''
																		try:
																								snake_case_  =      float(
																								    (
																								        (
																								            float(product_mrp.strip('''₹'''			).replace(''','''    ,						''''''			)			)
																								            - float(product_price.strip('''₹'''			).replace(''','''    ,						''''''			)			)
																								        )
																								        / float(product_mrp.strip('''₹'''			).replace(''','''    ,						''''''			)			)
																								    )
																								    * 100			)
																		except ValueError:
																								snake_case_  =      float('''nan'''			)
												except AttributeError:
																		pass
												snake_case_  =      [
												    product_title,
												    product_link,
												    product_price,
												    product_rating,
												    product_mrp,
												    discount,
												]
						snake_case_  =      ''' '''
						snake_case_  =      ''' '''
						data_frame.index += 1
						return data_frame


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

"""simple docstring"""


import math






def  lowercase						(	lowerCAmelCase__						):
			lowerCamelCase_					=  [True] * n
			lowerCamelCase_					=  False
			lowerCamelCase_					=  False
			lowerCamelCase_					=  True

			for i in range(3	,int(n**0.5 + 1						)	,2						):
						lowerCamelCase_					=  i * 2
						while index < n:
									lowerCamelCase_					=  False
									lowerCamelCase_					=  index + i

			lowerCamelCase_					=  [2]

			for i in range(3	,lowerCAmelCase__	,2						):
						if is_prime[i]:
									primes.append(lowerCAmelCase__						)

			return primes






def  lowercase						(	lowerCAmelCase__ = 999_966_663_333						):
			lowerCamelCase_					=  math.floor(math.sqrt(lowerCAmelCase__						)						) + 100
			lowerCamelCase_					=  prime_sieve(lowerCAmelCase__						)

			lowerCamelCase_					=  0
			lowerCamelCase_					=  0
			lowerCamelCase_					=  primes[prime_index]

			while (last_prime**2) <= limit:
						lowerCamelCase_					=  primes[prime_index + 1]

						lowerCamelCase_					=  last_prime**2
						lowerCamelCase_					=  next_prime**2

						# Get numbers divisible by lps(current)
						lowerCamelCase_					=  lower_bound + last_prime
						while upper_bound > current <= limit:
									matches_sum += current
									current += last_prime

						# Reset the upper_bound
						while (upper_bound - next_prime) > limit:
									upper_bound -= next_prime

						# Add the numbers divisible by ups(current)
						lowerCamelCase_					=  upper_bound - next_prime
						while current > lower_bound:
									matches_sum += current
									current -= next_prime

						# Remove the numbers divisible by both ups and lps
						lowerCamelCase_					=  0
						while upper_bound > current <= limit:
									if current <= lower_bound:
												# Increment the current number
												current += last_prime * next_prime
												continue

									if current > limit:
												break

									# Remove twice since it was added by both ups and lps
									matches_sum -= current * 2

									# Increment the current number
									current += last_prime * next_prime

						# Setup for next pair
						lowerCamelCase_					=  next_prime
						prime_index += 1

			return matches_sum


if __name__ == "__main__":
						print(solution())



