





from collections import defaultdict





class  A__    :




   """simple docstring"""



   def __init__(					self					,  lowercase					,  lowercase)			->						Dict:







          '''simple docstring'''

          a__						:	Optional[int] =				total  # total no of tasks (N)

          # DP table will have a dimension of (2^M)*N
          # initially all values are set to -1
          a__						:	List[str] =				[
              [-1 for i in range(total + 1)] for j in range(2 ** len(lowercase))
          ]

          a__						:	Optional[int] =				defaultdict(lowercase)  # stores the list of persons for each task

          # final_mask is used to check if all persons are included by setting all bits
          # to 1
          a__						:	Optional[int] =				(1 << len(lowercase)) - 1

   def 							__lowercase		(					self					,  lowercase					,  lowercase)			->						str:







          '''simple docstring'''

          if mask == self.final_mask:
                 return 1

          # if not everyone gets the task and no more tasks are available, return 0
          if task_no > self.total_tasks:
                 return 0

          # if case already considered
          if self.dp[mask][task_no] != -1:
                 return self.dp[mask][task_no]

          # Number of ways when we don't this task in the arrangement
          a__						:	str =				self.count_ways_until(lowercase					,  task_no + 1)

          # now assign the tasks one by one to all possible persons and recursively
          # assign for the remaining tasks.
          if task_no in self.task:
                 for p in self.task[task_no]:
                        # if p is already given a task
                        if mask & (1 << p):
                               continue

                        # assign this task to p and change the mask value. And recursively
                        # assign tasks with the new mask value.
                        total_ways_util += self.count_ways_until(mask | (1 << p)					,  task_no + 1)

        # save the value.
          a__						:	int =				total_ways_util

          return self.dp[mask][task_no]

   def 							__lowercase		(					self					,  lowercase)			->						Optional[int]:







          '''simple docstring'''

          for i in range(len(lowercase)):
                 for j in task_performed[i]:
                        self.task[j].append(lowercase)

        # call the function to fill the DP table, final answer is stored in dp[0][1]
          return self.count_ways_until(0					,  1)


if __name__ == "__main__":
    lowercase      :       Union[str, Any]									=  5  # total no of tasks (the value of N)

    # the list of tasks that can be done by M persons.
    lowercase      :       Tuple									=  [[1, 3, 4], [1, 2, 5], [3, 4]]
    print(
        AssignmentUsingBitmask(task_performed, total_tasks).count_no_of_ways(
            task_performed
        )
    )




from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame






def   lowerCAmelCase_						(					_snake_case      :  str = "laptop"   )				->		DataFrame:







	'''simple docstring'''


	__magic_name__		:		Tuple	   =     F'''https://www.amazon.in/laptop/s?k={product}'''
	__magic_name__		:		Dict	   =     {
	    "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",
	}
	__magic_name__		:		Tuple	   =     BeautifulSoup(requests.get(_snake_case      ,   headers=_snake_case   ).text   )
	# Initialize a Pandas dataframe with the column titles
	__magic_name__		:		int	   =     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:
			__magic_name__		:		Dict	   =     item.ha.text
			__magic_name__		:		Optional[int]	   =     "https://www.amazon.in/" + item.ha.a["href"]
			__magic_name__		:		Optional[Any]	   =     item.find("span"      ,   attrs={"class": "a-offscreen"}   ).text
			try:
				__magic_name__		:		Union[str, Any]	   =     item.find("span"      ,   attrs={"class": "a-icon-alt"}   ).text
			except AttributeError:
				__magic_name__		:		Dict	   =     "Not available"
			try:
				__magic_name__		:		Optional[int]	   =     (
				    "₹"
				    + item.find(
				        "span"      ,   attrs={"class": "a-price a-text-price"}   ).text.split("₹"   )[1]
				)
			except AttributeError:
				__magic_name__		:		List[str]	   =     ""
			try:
				__magic_name__		:		int	   =     float(
				    (
				        (
				            float(product_mrp.strip("₹"   ).replace(","      ,   ""   )   )
				            - float(product_price.strip("₹"   ).replace(","      ,   ""   )   )
				        )
				        / float(product_mrp.strip("₹"   ).replace(","      ,   ""   )   )
				    )
				    * 100   )
			except ValueError:
				__magic_name__		:		str	   =     float("nan"   )
		except AttributeError:
			pass
		__magic_name__		:		Optional[int]	   =     [
		    product_title,
		    product_link,
		    product_price,
		    product_rating,
		    product_mrp,
		    discount,
		]
	__magic_name__		:		Optional[Any]	   =     " "
	__magic_name__		:		str	   =     " "
	data_frame.index += 1
	return data_frame


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