





"""simple docstring"""
__SCREAMING_SNAKE_CASE  :						List[Any]    							=      2_5_6
# Modulus to hash a string
__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      1_0_0_0_0_0_3



def        lowerCAmelCase_(   lowercase_     :							str						,   lowercase_     :							str							)	->       bool:
				_lowerCamelCase        =				len(a_							)
				_lowerCamelCase        =				len(a_							)
				if p_len > t_len:
								return False

				_lowerCamelCase        =				0
				_lowerCamelCase        =				0
				_lowerCamelCase        =				1

				# Calculating the hash of pattern and substring of text
				for i in range(a_							):
								_lowerCamelCase        =				(ord(pattern[i]							) + p_hash * alphabet_size) % modulus
								_lowerCamelCase        =				(ord(text[i]							) + text_hash * alphabet_size) % modulus
								if i == p_len - 1:
												continue
								_lowerCamelCase        =				(modulus_power * alphabet_size) % modulus

				for i in range(0						,   t_len - p_len + 1							):
								if text_hash == p_hash and text[i : i + p_len] == pattern:
												return True
								if i == t_len - p_len:
												continue
								# Calculate the https://en.wikipedia.org/wiki/Rolling_hash
								_lowerCamelCase        =				(
								    (text_hash - ord(text[i]							) * modulus_power) * alphabet_size
								    + ord(text[i + p_len]							)
								) % modulus
				return False



def        lowerCAmelCase_(   )	->       None:
				_lowerCamelCase        =				'''abc1abc12'''
				_lowerCamelCase        =				'''alskfjaldsabc1abc1abc12k23adsfabcabc'''
				_lowerCamelCase        =				'''alskfjaldsk23adsfabcabc'''
				assert rabin_karp(a_						,   a_							) and not rabin_karp(a_						,   a_							)

				# Test 2)
				_lowerCamelCase        =				'''ABABX'''
				_lowerCamelCase        =				'''ABABZABABYABABX'''
				assert rabin_karp(a_						,   a_							)

				# Test 3)
				_lowerCamelCase        =				'''AAAB'''
				_lowerCamelCase        =				'''ABAAAAAB'''
				assert rabin_karp(a_						,   a_							)

				# Test 4)
				_lowerCamelCase        =				'''abcdabcy'''
				_lowerCamelCase        =				'''abcxabcdabxabcdabcdabcy'''
				assert rabin_karp(a_						,   a_							)

				# Test 5)
				_lowerCamelCase        =				'''Lü'''
				_lowerCamelCase        =				'''Lüsai'''
				assert rabin_karp(a_						,   a_							)
				_lowerCamelCase        =				'''Lue'''
				assert not rabin_karp(a_						,   a_							)
				print('''Success.'''							)


if __name__ == "__main__":
			test_rabin_karp()





"""simple docstring"""
from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame



def        lowerCAmelCase_(   lowercase_     :							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
        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36''',
				    '''Accept-Language''': '''en-US, en;q=0.5''',
				}
				_lowerCamelCase        =				BeautifulSoup(requests.get(lowercase_						,   headers=lowercase_							).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(''','''						,   ''''''							)							)
																    )
																    * 1_00							)
												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  :						Optional[int]    							=      '''headphones'''
			get_amazon_product_data(product).to_csv(F"""Amazon Product Data for {product}.csv""")
