
class 					_SCREAMING_SNAKE_CASE  :
						def __init__(			self ):
										snake_case__						=				0
										snake_case__						=				0
										snake_case__						=				{}
						def A_			(			self		,	lowerCamelCase ):
										if vertex not in self.adjacency:
														snake_case__						=				{}
														self.num_vertices += 1
						def A_			(			self		,	lowerCamelCase		,	lowerCamelCase		,	lowerCamelCase ):
										self.add_vertex(__lowerCamelCase )
										self.add_vertex(__lowerCamelCase )

										if head == tail:
														return

										snake_case__						=				weight
										snake_case__						=				weight
						def A_			(			self ):
										snake_case__						=				self.get_edges()
										for edge in edges:
														snake_case__						=				edge
														edges.remove((tail, head, weight) )
										for i in range(len(__lowerCamelCase ) ):
														snake_case__						=				list(edges[i] )

										edges.sort(key=lambda lowerCamelCase : e[2] )
										for i in range(len(__lowerCamelCase ) - 1 ):
														if edges[i][2] >= edges[i + 1][2]:
																		snake_case__						=				edges[i][2] + 1
										for edge in edges:
														snake_case__						=				edge
														snake_case__						=				weight
														snake_case__						=				weight
						def __str__(			self ):
										snake_case__						=				""
										for tail in self.adjacency:
														for head in self.adjacency[tail]:
																		snake_case__						=				self.adjacency[head][tail]
																		string += F"""{head} -> {tail} == {weight}\n"""
										return string.rstrip("\n" )
						def A_			(			self ):
										snake_case__						=				[]
										for tail in self.adjacency:
														for head in self.adjacency[tail]:
																		output.append((tail, head, self.adjacency[head][tail]) )
										return output
						def A_			(			self ):
										return self.adjacency.keys()
						@staticmethod
						def A_			(			lowerCamelCase=None		,	lowerCamelCase=None ):
										snake_case__						=				Graph()
										if vertices is None:
														snake_case__						=				[]
										if edges is None:
														snake_case__						=				[]
										for vertex in vertices:
														g.add_vertex(__lowerCamelCase )
										for edge in edges:
														g.add_edge(*__lowerCamelCase )
										return g




						class 					_SCREAMING_SNAKE_CASE  :
												def __init__(			self ):
																snake_case__						=				{}
																snake_case__						=				{}
												def __len__(			self ):
																return len(self.parent )
												def A_			(			self		,	lowerCamelCase ):
																if item in self.parent:
																				return self.find(__lowerCamelCase )

																snake_case__						=				item
																snake_case__						=				0
																return item
												def A_			(			self		,	lowerCamelCase ):
																if item not in self.parent:
																				return self.make_set(__lowerCamelCase )
																if item != self.parent[item]:
																				snake_case__						=				self.find(self.parent[item] )
																return self.parent[item]



												def A_			(			self		,	lowerCamelCase		,	lowerCamelCase ):
																snake_case__						=				self.find(__lowerCamelCase )
																snake_case__						=				self.find(__lowerCamelCase )

																if roota == roota:
																				return roota

																if self.rank[roota] > self.rank[roota]:
																				snake_case__						=				roota
																				return roota

																if self.rank[roota] < self.rank[roota]:
																				snake_case__						=				roota
																				return roota

																if self.rank[roota] == self.rank[roota]:
																				self.rank[roota] += 1
																				snake_case__						=				roota
																				return roota
																return None





						@staticmethod
						def A_			(			lowerCamelCase ):
										snake_case__						=				graph.num_vertices

										snake_case__						=				Graph.UnionFind()
										snake_case__						=				[]
										while num_components > 1:
														snake_case__						=				{}
														for vertex in graph.get_vertices():
																		snake_case__						=				-1

														snake_case__						=				graph.get_edges()
														for edge in edges:
																		snake_case__						=				edge
																		edges.remove((tail, head, weight) )
														for edge in edges:
																		snake_case__						=				edge
																		snake_case__						=				union_find.find(__lowerCamelCase )
																		snake_case__						=				union_find.find(__lowerCamelCase )
																		if seta != seta:
																						if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																										snake_case__						=				[head, tail, weight]

																						if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																										snake_case__						=				[head, tail, weight]
														for vertex in cheap_edge:
																		if cheap_edge[vertex] != -1:
																						snake_case__						=				cheap_edge[vertex]
																						if union_find.find(__lowerCamelCase ) != union_find.find(__lowerCamelCase ):
																										union_find.union(__lowerCamelCase		,	__lowerCamelCase )
																										mst_edges.append(cheap_edge[vertex] )
																										snake_case__						=				num_components - 1
										snake_case__						=				Graph.build(edges=__lowerCamelCase )
										return mst





from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase = "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(__lowerCAmelCase    ,		headers=__lowerCAmelCase							).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__":
     __magic_name__            =  '''headphones'''
     get_amazon_product_data(product).to_csv(F'''Amazon Product Data for {product}.csv''')



