


from __future__ import annotations

from typing import Any







class      lowerCAmelCase__       :




     '''simple docstring'''


     def __init__(						self ,						__lowerCamelCase ,						__lowerCamelCase ,						__lowerCamelCase = 0)			->				None:
            _A    ,			_A      :       Any				    = row, column
            _A      :       str				    = [[default_value for c in range(__lowerCamelCase)] for r in range(__lowerCamelCase)]


     def __str__(						self)			->				str:
            _A      :       Any				    = F"Matrix consist of {self.row} rows and {self.column} columns\n"

            # Make string identifier
            _A      :       List[str]				    = 0
            for row_vector in self.array:
                   for obj in row_vector:
                          _A      :       Any				    = max(__lowerCamelCase ,						len(str(__lowerCamelCase)))
            _A      :       Tuple				    = F"%{max_element_length}s"

            # Make string and return
            def single_line(__lowerCamelCase) -> str:
                   nonlocal string_format_identifier
                   _A      :       Tuple				    = "["
                   line += ", ".join(string_format_identifier % (obj,) for obj in row_vector)
                   line += "]"
                   return line

            s += "\n".join(single_line(__lowerCamelCase) for row_vector in self.array)
            return s


     def __repr__(						self)			->				str:
            return str(self)


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				bool:
            if not (isinstance(__lowerCamelCase ,						(list, tuple)) and len(__lowerCamelCase) == 2):
                   return False
            elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
                   return False
            else:
                   return True


     def __getitem__(						self ,						__lowerCamelCase)			->				Any:
            assert self.validate_indicies(__lowerCamelCase)
            return self.array[loc[0]][loc[1]]


     def __setitem__(						self ,						__lowerCamelCase ,						__lowerCamelCase)			->				None:
            assert self.validate_indicies(__lowerCamelCase)
            _A      :       Optional[int]				    = value


     def __add__(						self ,						__lowerCamelCase)			->				Matrix:
            assert isinstance(__lowerCamelCase ,						__lowerCamelCase)
            assert self.row == another.row and self.column == another.column

            # Add
            _A      :       Optional[int]				    = Matrix(self.row ,						self.column)
            for r in range(self.row):
                   for c in range(self.column):
                          _A      :       str				    = self[r, c] + another[r, c]
            return result


     def __neg__(						self)			->				Matrix:
            _A      :       Any				    = Matrix(self.row ,						self.column)
            for r in range(self.row):
                   for c in range(self.column):
                          _A      :       Dict				    = -self[r, c]
            return result


     def __sub__(						self ,						__lowerCamelCase)			->				Matrix:
            return self + (-another)


     def __mul__(						self ,						__lowerCamelCase)			->				Matrix:

            if isinstance(__lowerCamelCase ,						(int, float)):  # Scalar multiplication
                   _A      :       Optional[Any]				    = Matrix(self.row ,						self.column)
                   for r in range(self.row):
                          for c in range(self.column):
                                 _A      :       Dict				    = self[r, c] * another
                   return result
            elif isinstance(__lowerCamelCase ,						__lowerCamelCase):  # Matrix multiplication
                   assert self.column == another.row
                   _A      :       str				    = Matrix(self.row ,						another.column)
                   for r in range(self.row):
                          for c in range(another.column):
                                 for i in range(self.column):
                                        result[r, c] += self[r, i] * another[i, c]
                   return result
            else:
                   _A      :       List[str]				    = F"Unsupported type given for another ({type(__lowerCamelCase)})"
                   raise TypeError(__lowerCamelCase)


     def  _lowerCamelCase (						self)			->				Matrix:
            _A      :       Any				    = Matrix(self.column ,						self.row)
            for r in range(self.row):
                   for c in range(self.column):
                          _A      :       Optional[int]				    = self[r, c]
            return result


     def  _lowerCamelCase (						self ,						__lowerCamelCase ,						__lowerCamelCase)			->				Any:
            assert isinstance(__lowerCamelCase ,						__lowerCamelCase) and isinstance(__lowerCamelCase ,						__lowerCamelCase)
            assert self.row == self.column == u.row == v.row  # u, v should be column vector
            assert u.column == v.column == 1  # u, v should be column vector

            # Calculate
            _A      :       Any				    = v.transpose()
            _A      :       Optional[Any]				    = (v_t * self * u)[0, 0] + 1
            if numerator_factor == 0:
                   return None  # It's not invertable
            return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":
    def 							_UpperCAmelCase				():
           # a^(-1)
           _A      :       int				    = Matrix(3				,							3				,							0						)
           for i in range(3						):
                  _A      :       Tuple				    = 1
           print(f"a^(-1) is {ainv}"						)
           # u, v
           _A      :       List[Any]				    = Matrix(3				,							1				,							0						)
           _A    ,			_A    ,			_A      :       Optional[Any]				    = 1, 2, -3
           _A      :       Tuple				    = Matrix(3				,							1				,							0						)
           _A    ,			_A    ,			_A      :       Optional[int]				    = 4, -2, 5
           print(f"u is {u}"						)
           print(f"v is {v}"						)
           print(f"uv^T is {u * v.transpose()}"						)
           # Sherman Morrison
           print(f"(a + uv^T)^(-1) is {ainv.sherman_morrison(UpperCamelCase__				,							UpperCamelCase__						)}"						)
    def 							_UpperCAmelCase				():
           import doctest

           doctest.testmod()






    testa()


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")
