
from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame







def 						_snake_case(  SCREAMING_SNAKE_CASE__ = "laptop"    )			->   DataFrame:
       lowercase							:					Tuple	     =				f"https://www.amazon.in/laptop/s?k={product}"
       lowercase							:					int	     =				{
           """User-Agent""": """Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36
        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36""",
           """Accept-Language""": """en-US, en;q=0.5""",
       }
       lowercase							:					Optional[int]	     =				BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE__ ,     headers=SCREAMING_SNAKE_CASE__    ).text    )
       # Initialize a Pandas dataframe with the column titles
       lowercase							:					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:
                     lowercase							:					str	     =				item.ha.text
                     lowercase							:					Tuple	     =				"""https://www.amazon.in/""" + item.ha.a["""href"""]
                     lowercase							:					List[Any]	     =				item.find("""span""" ,     attrs={"""class""": """a-offscreen"""}    ).text
                     try:
                            lowercase							:					Dict	     =				item.find("""span""" ,     attrs={"""class""": """a-icon-alt"""}    ).text
                     except AttributeError:
                            lowercase							:					List[Any]	     =				"""Not available"""
                     try:
                            lowercase							:					Union[str, Any]	     =				(
                                """₹"""
                                + item.find(
                                    """span""" ,     attrs={"""class""": """a-price a-text-price"""}    ).text.split("""₹"""    )[1]
                            )
                     except AttributeError:
                            lowercase							:					int	     =				""""""
                     try:
                            lowercase							:					int	     =				float(
                                (
                                    (
                                        float(product_mrp.strip("""₹"""    ).replace(""",""" ,     """"""    )    )
                                        - float(product_price.strip("""₹"""    ).replace(""",""" ,     """"""    )    )
                                    )
                                    / float(product_mrp.strip("""₹"""    ).replace(""",""" ,     """"""    )    )
                                )
                                * 100    )
                     except ValueError:
                            lowercase							:					Union[str, Any]	     =				float("""nan"""    )
              except AttributeError:
                     pass
              lowercase							:					List[Any]	     =				[
                  product_title,
                  product_link,
                  product_price,
                  product_rating,
                  product_mrp,
                  discount,
              ]
       lowercase							:					Dict	     =				""" """
       lowercase							:					Optional[int]	     =				""" """
       data_frame.index += 1
       return data_frame


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


def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   Union[str, Any]:
       global f  # a global dp table for knapsack
       if f[i][j] < 0:
              if j < wt[i - 1]:
                     lowercase							:					str	     =				mf_knapsack(i - 1 ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )
              else:
                     lowercase							:					Optional[int]	     =				max(
                         mf_knapsack(i - 1 ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    ) ,     mf_knapsack(i - 1 ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     j - wt[i - 1]    ) + val[i - 1] ,     )
              lowercase							:					List[Any]	     =				val
       return f[i][j]







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   Any:
       lowercase							:					Optional[int]	     =				[[0] * (w + 1) for _ in range(n + 1    )]

       for i in range(1 ,     n + 1    ):
              for w_ in range(1 ,     w + 1    ):
                     if wt[i - 1] <= w_:
                            lowercase							:					Union[str, Any]	     =				max(val[i - 1] + dp[i - 1][w_ - wt[i - 1]] ,     dp[i - 1][w_]    )
                     else:
                            lowercase							:					Any	     =				dp[i - 1][w_]

       return dp[n][w_], dp







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   Optional[Any]:
       if not (isinstance(SCREAMING_SNAKE_CASE__ ,     (list, tuple)    ) and isinstance(SCREAMING_SNAKE_CASE__ ,     (list, tuple)    )):
              raise ValueError(
                  """Both the weights and values vectors must be either lists or tuples"""    )

       lowercase							:					Optional[Any]	     =				len(SCREAMING_SNAKE_CASE__    )
       if num_items != len(SCREAMING_SNAKE_CASE__    ):
              lowercase							:					Optional[Any]	     =				(
                  """The number of weights must be the same as the number of values.\n"""
                  f"But got {num_items} weights and {len(SCREAMING_SNAKE_CASE__    )} values"
              )
              raise ValueError(SCREAMING_SNAKE_CASE__    )
       for i in range(SCREAMING_SNAKE_CASE__    ):
              if not isinstance(wt[i] ,     SCREAMING_SNAKE_CASE__    ):
                     lowercase							:					Tuple	     =				(
                         """All weights must be integers but got weight of """
                         f"type {type(wt[i]    )} at index {i}"
                     )
                     raise TypeError(SCREAMING_SNAKE_CASE__    )

       lowercase     ,      lowercase							:					Any	     =				knapsack(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )
       lowercase							:					set	     =				set()
       _construct_solution(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )

       return optimal_val, example_optional_set







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   Optional[int]:
       # for the current item i at a maximum weight j to be part of an optimal subset,
       # the optimal value at (i, j) must be greater than the optimal value at (i-1, j).
       # where i - 1 means considering only the previous items at the given maximum weight
       if i > 0 and j > 0:
              if dp[i - 1][j] == dp[i][j]:
                     _construct_solution(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     i - 1 ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )
              else:
                     optimal_set.add(SCREAMING_SNAKE_CASE__    )
                     _construct_solution(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     i - 1 ,     j - wt[i - 1] ,     SCREAMING_SNAKE_CASE__    )


if __name__ == "__main__":
  lowercase  : Dict						   =							[3, 2, 4, 4]
  lowercase  : List[Any]						   =							[4, 3, 2, 3]
  lowercase  : Tuple						   =							4
  lowercase  : Tuple						   =							6
  lowercase  : Tuple						   =							[[0] * (w + 1)] + [[0] + [-1] * (w + 1) for _ in range(n + 1)]
  lowercase   ,  lowercase  : List[str]						   =							knapsack(w, wt, val, n)
  print(optimal_solution)
  print(mf_knapsack(n, wt, val, w))  # switched the n and w

  # testing the dynamic programming problem with example
  # the optimal subset for the above example are items 3 and 4
  lowercase   ,  lowercase  : Optional[int]						   =							knapsack_with_example_solution(w, wt, val)
  assert optimal_solution == 8
  assert optimal_subset == {3, 4}
  print("""optimal_value = """, optimal_solution)
  print("""An optimal subset corresponding to the optimal value""", optimal_subset)
