



import mpmath  # for roots of unity
import numpy as np





class  lowerCamelCase__	:
     """simple docstring"""



     def __init__(self					,      __a=None					,      __a=None     ):






           '''simple docstring'''



           lowerCamelCase             =		list(poly_a or [0]     )[:]
           lowerCamelCase             =		list(poly_b or [0]     )[:]

           # Remove leading zero coefficients
           while self.polyA[-1] == 0:
                 self.polyA.pop()
           lowerCamelCase             =		len(self.polyA     )

           while self.polyB[-1] == 0:
                 self.polyB.pop()
           lowerCamelCase             =		len(self.polyB     )

           # Add 0 to make lengths equal a power of 2
           lowerCamelCase             =		int(
               2 ** np.ceil(np.loga(len(self.polyA     ) + len(self.polyB     ) - 1     )     )     )

           while len(self.polyA     ) < self.c_max_length:
                 self.polyA.append(0     )
           while len(self.polyB     ) < self.c_max_length:
                 self.polyB.append(0     )
           # A complex root used for the fourier transform
           lowerCamelCase             =		complex(mpmath.root(x=1					,      n=self.c_max_length					,      k=1     )     )

           # The product
           lowerCamelCase             =		self.__multiply()







     def     _a   (self					,      __a     ):






           '''simple docstring'''



           lowerCamelCase             =		[[x] for x in self.polyA] if which == "A" else [[x] for x in self.polyB]
           # Corner case
           if len(__a     ) <= 1:
                 return dft[0]
           #
           lowerCamelCase             =		self.c_max_length // 2
           while next_ncol > 0:
                 lowerCamelCase             =		[[] for i in range(__a     )]
                 lowerCamelCase             =		self.root**next_ncol

                 # First half of next step
                 lowerCamelCase             =		1
                 for j in range(self.c_max_length // (next_ncol * 2)     ):
                       for i in range(__a     ):
                             new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j]     )
                       current_root *= root
                 # Second half of next step
                 lowerCamelCase             =		1
                 for j in range(self.c_max_length // (next_ncol * 2)     ):
                       for i in range(__a     ):
                             new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j]     )
                       current_root *= root
                 # Update
                 lowerCamelCase             =		new_dft
                 lowerCamelCase             =		next_ncol // 2
           return dft[0]







     def     _a   (self     ):






           '''simple docstring'''



           lowerCamelCase             =		self.__dft("A"     )
           lowerCamelCase             =		self.__dft("B"     )
           lowerCamelCase             =		[[dft_a[i] * dft_b[i] for i in range(self.c_max_length     )]]
           del dft_a
           del dft_b

           # Corner Case
           if len(inverce_c[0]     ) <= 1:
                 return inverce_c[0]
           # Inverse DFT
           lowerCamelCase             =		2
           while next_ncol <= self.c_max_length:
                 lowerCamelCase             =		[[] for i in range(__a     )]
                 lowerCamelCase             =		self.root ** (next_ncol // 2)
                 lowerCamelCase             =		1
                 # First half of next step
                 for j in range(self.c_max_length // next_ncol     ):
                       for i in range(next_ncol // 2     ):
                             # Even positions
                             new_inverse_c[i].append(
                                 (
                                     inverce_c[i][j]
                                     + inverce_c[i][j + self.c_max_length // next_ncol]
                                 )
                                 / 2     )
                             # Odd positions
                             new_inverse_c[i + next_ncol // 2].append(
                                 (
                                     inverce_c[i][j]
                                     - inverce_c[i][j + self.c_max_length // next_ncol]
                                 )
                                 / (2 * current_root)     )
                       current_root *= root
                 # Update
                 lowerCamelCase             =		new_inverse_c
                 next_ncol *= 2
           # Unpack
           lowerCamelCase             =		[round(x[0].real					,      8     ) + round(x[0].imag					,      8     ) * 1J for x in inverce_c]

           # Remove leading 0's
           while inverce_c[-1] == 0:
                 inverce_c.pop()
           return inverce_c







     def __str__(self     ):






           '''simple docstring'''



           lowerCamelCase             =		"A = " + " + ".join(
               F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyA[: self.len_A]     )     )
           lowerCamelCase             =		"B = " + " + ".join(
               F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyB[: self.len_B]     )     )
           lowerCamelCase             =		"A*B = " + " + ".join(
               F"""{coef}*x^{i}""" for coef, i in enumerate(self.product     )     )

           return F"""{a}\n{b}\n{c}"""


# Unit tests
if __name__ == "__main__":
     import doctest

     doctest.testmod()




from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame

def      __lowercase(						UpperCAmelCase__ = "laptop"			):


      """simple docstring"""



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


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