






'''simple docstring'''

from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame







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


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








'''simple docstring'''

import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


SCREAMING_SNAKE_CASE__     =       'scheduler_config.json'






class     a_						(      lowerCamelCase    ):
  lowercase							=				1
  lowercase							=				2
  lowercase							=				3
  lowercase							=				4
  lowercase							=				5
  lowercase							=				6
  lowercase							=				7
  lowercase							=				8
  lowercase							=				9
  lowercase							=				10
  lowercase							=				11
  lowercase							=				12
  lowercase							=				13
  lowercase							=				14






@dataclass
class     a_						(      lowerCamelCase    ):
  lowercase							=				42






class     a_						:
  lowercase							=				SCHEDULER_CONFIG_NAME
  lowercase							=				[]
  lowercase							=				True

  @classmethod
  def   A__						(				cls      ,		_SCREAMING_SNAKE_CASE = None      ,		_SCREAMING_SNAKE_CASE = None      ,		_SCREAMING_SNAKE_CASE=False      ,		**_SCREAMING_SNAKE_CASE      ,		)  ->				Optional[Any]:



        """simple docstring"""






        UpperCamelCase  ,UpperCamelCase  ,UpperCamelCase      = cls.load_config(
            pretrained_model_name_or_path=_SCREAMING_SNAKE_CASE      ,		subfolder=_SCREAMING_SNAKE_CASE      ,		return_unused_kwargs=_SCREAMING_SNAKE_CASE      ,		return_commit_hash=_SCREAMING_SNAKE_CASE      ,		**_SCREAMING_SNAKE_CASE      ,		)
        return cls.from_config(_SCREAMING_SNAKE_CASE      ,		return_unused_kwargs=_SCREAMING_SNAKE_CASE      ,		**_SCREAMING_SNAKE_CASE				)

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE = False      ,		**_SCREAMING_SNAKE_CASE				)  ->				Dict:



        """simple docstring"""






        self.save_config(save_directory=_SCREAMING_SNAKE_CASE      ,		push_to_hub=_SCREAMING_SNAKE_CASE      ,		**_SCREAMING_SNAKE_CASE				)

  @property
  def   A__						(				self				)  ->				Tuple:



        """simple docstring"""






        return self._get_compatibles()


  @classmethod
  def   A__						(				cls				)  ->				List[Any]:



        """simple docstring"""






        UpperCamelCase      = list(set([cls.__name__] + cls._compatibles				)				)
        UpperCamelCase      = importlib.import_module(__name__.split("""."""				)[0]				)
        UpperCamelCase      = [
            getattr(_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				) for c in compatible_classes_str if hasattr(_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				)
        ]
        return compatible_classes
