




'''simple docstring'''


from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame
def 						lowerCamelCase__   (				a = "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\n        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36',
						    'Accept-Language': 'en-US, en;q=0.5',
						}
						__snake_case						 =   BeautifulSoup(requests.get(a    ,	headers=a							).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__":
	_lowercase  =			"""headphones"""
	get_amazon_product_data(product).to_csv(f'''Amazon Product Data for {product}.csv''')







'''simple docstring'''


def 						lowerCamelCase__   (				a							):
						__snake_case						 =   [0] * len(a							)
						__snake_case						 =   []
						__snake_case						 =   []
						__snake_case						 =   0

						for values in graph.values():
												for i in values:
																		indegree[i] += 1

						for i in range(len(a							)							):
												if indegree[i] == 0:
																		queue.append(a							)

						while queue:
												__snake_case						 =   queue.pop(0							)
												cnt += 1
												topo.append(a							)
												for x in graph[vertex]:
																		indegree[x] -= 1
																		if indegree[x] == 0:
																								queue.append(a							)

						if cnt != len(a							):
												print('Cycle exists'							)
						else:
												print(a							)


# Adjacency List of Graph
_lowercase  =			{0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}






topological_sort(graph)

