





from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame
def      _A       (		SCREAMING_SNAKE_CASE     :   str = "laptop"						):





  """simple docstring"""



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


if __name__ == "__main__":
     UpperCAmelCase	:	List[str]		     =       """headphones"""
     get_amazon_product_data(product).to_csv(F"""Amazon Product Data for {product}.csv""")













def      _A       (		SCREAMING_SNAKE_CASE     :   int = 50						):





  """simple docstring"""



  a__	:					Any										=[1] * (length + 1)

  for row_length in range(3       ,       length + 1						):
    for block_length in range(3       ,       row_length + 1						):
      for block_start in range(row_length - block_length						):
        ways_number[row_length] += ways_number[
            row_length - block_start - block_length - 1
        ]

      ways_number[row_length] += 1

  return ways_number[length]


if __name__ == "__main__":
     print(F"""{solution() = }""")






