"""simple docstring"""





from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame
def 	snake_case__					(			_snake_case				:       List[Any] = "laptop"     ):

      """simple docstring"""

      UpperCamelCase__										=			F'https://www.amazon.in/laptop/s?k={product}'
      UpperCamelCase__										=			{
          "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",
      }
      UpperCamelCase__										=			BeautifulSoup(requests.get(_A							,      headers=_A     ).text     )
      # Initialize a Pandas dataframe with the column titles
      UpperCamelCase__										=			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:
                  UpperCamelCase__										=			item.ha.text
                  UpperCamelCase__										=			"https://www.amazon.in/" + item.ha.a["href"]
                  UpperCamelCase__										=			item.find("span"							,      attrs={"class": "a-offscreen"}     ).text
                  try:
                        UpperCamelCase__										=			item.find("span"							,      attrs={"class": "a-icon-alt"}     ).text
                  except AttributeError:
                        UpperCamelCase__										=			"Not available"
                  try:
                        UpperCamelCase__										=			(
                            "₹"
                            + item.find(
                                "span"							,      attrs={"class": "a-price a-text-price"}     ).text.split("₹"     )[1]
                        )
                  except AttributeError:
                        UpperCamelCase__										=			""
                  try:
                        UpperCamelCase__										=			float(
                            (
                                (
                                    float(product_mrp.strip("₹"     ).replace(","							,      ""     )     )
                                    - float(product_price.strip("₹"     ).replace(","							,      ""     )     )
                                )
                                / float(product_mrp.strip("₹"     ).replace(","							,      ""     )     )
                            )
                            * 1_00     )
                  except ValueError:
                        UpperCamelCase__										=			float("nan"     )
            except AttributeError:
                  pass
            UpperCamelCase__										=			[
                product_title,
                product_link,
                product_price,
                product_rating,
                product_mrp,
                discount,
            ]
      UpperCamelCase__										=			" "
      UpperCamelCase__										=			" "
      data_frame.index += 1
      return data_frame


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





from __future__ import annotations

from dataclasses import dataclass
@dataclass
class 						UpperCAmelCase  :







						'''simple docstring'''





						lowerCAmelCase_							=  42
						lowerCAmelCase_							=  None
						lowerCAmelCase_							=  None







def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	def is_valid_tree(_A				) -> bool:
		if node is None:
			return True

		if not isinstance(_A	,      _A				):
			return False

		try:
			float(node.data				)
		except (TypeError, ValueError):
			return False

		return is_valid_tree(node.left				) and is_valid_tree(node.right				)

	if not is_valid_tree(_A				):
		raise ValueError(
		    "Each node should be type of TreeNode and data should be float."				)

	def is_binary_search_tree_recursive_check(
	    _A	,      _A	,      _A				) -> bool:

		if node is None:
			return True

		return (
		    left_bound < node.data < right_bound
		    and is_binary_search_tree_recursive_check(node.left	,      _A	,      node.data				)
		    and is_binary_search_tree_recursive_check(
		        node.right	,      node.data	,      _A				)
		)

	return is_binary_search_tree_recursive_check(_A	,      -float("inf"				)	,      float("inf"				)				)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
