



"""simple docstring"""







from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							str = "laptop" ):
						"""simple docstring"""






						snake_case   :			Optional[Any]						    = f'''https://www.amazon.in/laptop/s?k={product}'''
						snake_case   :			Any						    = {
						    "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   :			Any						    = BeautifulSoup(requests.get(lowerCamelCase_     ,		headers=lowerCamelCase_ ).text )
						# Initialize a Pandas dataframe with the column titles
						snake_case   :			List[Any]						    = 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   :			str						    = item.ha.text
																		snake_case   :			List[str]						    = "https://www.amazon.in/" + item.ha.a["href"]
																		snake_case   :			Optional[int]						    = item.find("span"     ,		attrs={"class": "a-offscreen"} ).text
																		try:
																								snake_case   :			str						    = item.find("span"     ,		attrs={"class": "a-icon-alt"} ).text
																		except AttributeError:
																								snake_case   :			Union[str, Any]						    = "Not available"
																		try:
																								snake_case   :			int						    = (
																								    "₹"
																								    + item.find(
																								        "span"     ,		attrs={"class": "a-price a-text-price"} ).text.split("₹" )[1]
																								)
																		except AttributeError:
																								snake_case   :			int						    = ""
																		try:
																								snake_case   :			Optional[Any]						    = float(
																								    (
																								        (
																								            float(product_mrp.strip("₹" ).replace(","     ,		"" ) )
																								            - float(product_price.strip("₹" ).replace(","     ,		"" ) )
																								        )
																								        / float(product_mrp.strip("₹" ).replace(","     ,		"" ) )
																								    )
																								    * 1_0_0 )
																		except ValueError:
																								snake_case   :			Any						    = float("nan" )
												except AttributeError:
																		pass
												snake_case   :			Union[str, Any]						    = [
												    product_title,
												    product_link,
												    product_price,
												    product_rating,
												    product_mrp,
												    discount,
												]
						snake_case   :			str						    = " "
						snake_case   :			Any						    = " "
						data_frame.index += 1
						return data_frame


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








"""simple docstring"""







from __future__ import annotations

A		=						'#'

class       _a  :



			def __init__(			self							:				List[Any]		)							->					None:
									snake_case   :			dict						    = {}



			def 				__lowercase					(			self							:				str   ,	_lowercase							:				str		)							->					None:
									snake_case   :			Optional[int]						    = self._trie
									for char in text:
															if char not in trie:
																					snake_case   :			str						    = {}
															snake_case   :			Optional[Any]						    = trie[char]
									snake_case   :			str						    = True



			def 				__lowercase					(			self							:				List[Any]   ,	_lowercase							:				str		)							->					tuple | list:
									snake_case   :			Dict						    = self._trie
									for char in prefix:
															if char in trie:
																					snake_case   :			Tuple						    = trie[char]
															else:
																					return []
									return self._elements(_lowercase		)



			def 				__lowercase					(			self							:				Optional[int]   ,	_lowercase							:				dict		)							->					tuple:
									snake_case   :			int						    = []
									for c, v in d.items():
															snake_case   :			int						    = [" "] if c == END else [(c + s) for s in self._elements(_lowercase		)]
															result.extend(_lowercase		)
									return tuple(_lowercase		)



A		=						Trie()
A		=						('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
			trie.insert_word(word)

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							str ):
						"""simple docstring"""






						snake_case   :			Optional[int]						    = trie.find_word(lowerCamelCase_ )
						return tuple(string + word for word in suffixes )

def  __SCREAMING_SNAKE_CASE		(			):
						"""simple docstring"""






						print(autocomplete_using_trie("de" ) )


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()



