


from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame







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


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








from __future__ import annotations

import time
from collections.abc import Sequence
from random import randint

from matplotlib import pyplot as plt


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)     ->	tuple[int | None, int | None, float]:
    if not arr:
        return None, None, 0
    if low == high:
        return low, high, arr[low]

    lowerCamelCase__       : Union[str, Any]   					=						(low + high) // 2
    lowerCamelCase__					,				lowerCamelCase__					,				lowerCamelCase__       : str   					=						max_subarray(_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)
    lowerCamelCase__					,				lowerCamelCase__					,				lowerCamelCase__       : Optional[Any]   					=						max_subarray(_UpperCAmelCase		,      mid + 1		,      _UpperCAmelCase					)
    lowerCamelCase__					,				lowerCamelCase__					,				lowerCamelCase__       : int   					=						max_cross_sum(_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)
    if left_sum >= right_sum and left_sum >= cross_sum:
        return left_low, left_high, left_sum
    elif right_sum >= left_sum and right_sum >= cross_sum:
        return right_low, right_high, right_sum
    return cross_left, cross_right, cross_sum


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)     ->	tuple[int, int, float]:
    lowerCamelCase__					,				lowerCamelCase__       : Union[str, Any]   					=						float('-inf'					), -1
    lowerCamelCase__					,				lowerCamelCase__       : Tuple   					=						float('-inf'					), -1

    lowerCamelCase__       : int | float   					=						0
    for i in range(_UpperCAmelCase		,      low - 1		,      -1					):
        summ += arr[i]
        if summ > left_sum:
            lowerCamelCase__       : Optional[int]   					=						summ
            lowerCamelCase__       : Tuple   					=						i

    lowerCamelCase__       : int   					=						0
    for i in range(mid + 1		,      high + 1					):
        summ += arr[i]
        if summ > right_sum:
            lowerCamelCase__       : int   					=						summ
            lowerCamelCase__       : List[Any]   					=						i

    return max_left, max_right, (left_sum + right_sum)


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase					)     ->	float:
    lowerCamelCase__       : Any   					=						[randint(1		,      _UpperCAmelCase					) for _ in range(_UpperCAmelCase					)]
    lowerCamelCase__       : Tuple   					=						time.time()
    max_subarray(_UpperCAmelCase		,      0		,      input_size - 1					)
    lowerCamelCase__       : List[Any]   					=						time.time()
    return end - start


def 			SCREAMING_SNAKE_CASE (			)     ->	None:
    lowerCamelCase__       : Optional[Any]   					=						[10, 100, 1000, 1_0000, 5_0000, 10_0000, 20_0000, 30_0000, 40_0000, 50_0000]
    lowerCamelCase__       : Optional[Any]   					=						[time_max_subarray(_UpperCAmelCase					) for input_size in input_sizes]
    print('No of Inputs\t\tTime Taken'					)
    for input_size, runtime in zip(_UpperCAmelCase		,      _UpperCAmelCase					):
        print(_UpperCAmelCase		,      '\t\t'		,      _UpperCAmelCase					)
    plt.plot(_UpperCAmelCase		,      _UpperCAmelCase					)
    plt.xlabel('Number of Inputs'					)
    plt.ylabel('Time taken in seconds'					)
    plt.show()


if __name__ == "__main__":
    from doctest import testmod

    testmod()





