



from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame






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


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










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


UpperCamelCase__ =						"scheduler_config.json"
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  List[Any]      =			1
			lowercase__      :  Tuple      =			2
			lowercase__      :  Union[str, Any]      =			3
			lowercase__      :  Union[str, Any]      =			4
			lowercase__      :  str      =			5
			lowercase__      :  Any      =			6
			lowercase__      :  Any      =			7
			lowercase__      :  List[str]      =			8
			lowercase__      :  Union[str, Any]      =			9
			lowercase__      :  int      =			10
			lowercase__      :  List[str]      =			11
			lowercase__      :  List[Any]      =			12
			lowercase__      :  str      =			13
			lowercase__      :  Optional[int]      =			14





@dataclass
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  torch.FloatTensor





class 			_lowerCAmelCase   :






			"""simple docstring"""





			lowercase__      :  Optional[int]      =			SCHEDULER_CONFIG_NAME
			lowercase__      :  int      =			[]
			lowercase__      :  Dict      =			True





			@classmethod
			def 		snake_case__			(				cls	:       str			,     lowercase	:       Dict[str, Any] = None			,     lowercase	:       Optional[str] = None			,     lowercase	:       Any=False			,     **lowercase	:       List[str]			,     )						->					Union[str, Any]:
									"""simple docstring"""







									__lowercase	,			__lowercase	,			__lowercase					=				cls.load_config(
									    pretrained_model_name_or_path=lowercase			,     subfolder=lowercase			,     return_unused_kwargs=lowercase			,     return_commit_hash=lowercase			,     **lowercase			,     )
									return cls.from_config(lowercase			,     return_unused_kwargs=lowercase			,     **lowercase   )





			def 		snake_case__			(				self	:       Dict			,     lowercase	:       Union[str, os.PathLike]			,     lowercase	:       bool = False			,     **lowercase	:       List[str]   )						->					Optional[Any]:
									"""simple docstring"""







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





			@property
			def 		snake_case__			(				self	:       Optional[Any]   )						->					Dict:
									"""simple docstring"""







									return self._get_compatibles()







			@classmethod
			def 		snake_case__			(				cls	:       List[str]   )						->					Union[str, Any]:
									"""simple docstring"""







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





