from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame




def       lowerCAmelCase_     (		lowercase:							str = "laptop"		)    ->				DataFrame:







 '''simple docstring'''
 _UpperCamelCase:     str							= F"""https://www.amazon.in/laptop/s?k={product}"""
 _UpperCamelCase:     List[Any]							= {
     '''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:     Any							= BeautifulSoup(requests.get(lowercase  ,					headers=lowercase		).text		)
 # Initialize a Pandas dataframe with the column titles
 _UpperCamelCase:     Dict							= 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:     Tuple							= item.ha.text
   _UpperCamelCase:     Any							= '''https://www.amazon.in/''' + item.ha.a['''href''']
   _UpperCamelCase:     Dict							= item.find('''span'''  ,					attrs={'''class''': '''a-offscreen'''}		).text
   try:
    _UpperCamelCase:     Optional[int]							= item.find('''span'''  ,					attrs={'''class''': '''a-icon-alt'''}		).text
   except AttributeError:
    _UpperCamelCase:     Optional[Any]							= '''Not available'''
   try:
    _UpperCamelCase:     Dict							= (
        '''₹'''
        + item.find(
            '''span'''  ,					attrs={'''class''': '''a-price a-text-price'''}		).text.split('''₹'''		)[1]
    )
   except AttributeError:
    _UpperCamelCase:     List[str]							= ''''''
   try:
    _UpperCamelCase:     Dict							= float(
        (
            (
                float(product_mrp.strip('''₹'''		).replace(''','''  ,					''''''		)		)
                - float(product_price.strip('''₹'''		).replace(''','''  ,					''''''		)		)
            )
            / float(product_mrp.strip('''₹'''		).replace(''','''  ,					''''''		)		)
        )
        * 100		)
   except ValueError:
    _UpperCamelCase:     Dict							= float('''nan'''		)
  except AttributeError:
   pass
  _UpperCamelCase:     Union[str, Any]							= [
      product_title,
      product_link,
      product_price,
      product_rating,
      product_mrp,
      discount,
  ]
 _UpperCamelCase:     int							= ''' '''
 _UpperCamelCase:     Optional[Any]							= ''' '''
 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""")
# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

UpperCAmelCase_			    =							'''2.13.1'''

import platform

import pyarrow
from packaging import version


if version.parse(platform.python_version()) < version.parse('''3.7'''):
  raise ImportWarning(
      '''To use `datasets`, Python>=3.7 is required, and the current version of Python doesn\'t match this condition.'''
  )

if version.parse(pyarrow.__version__).major < 8:
  raise ImportWarning(
      '''To use `datasets`, the module `pyarrow>=8.0.0` is required, and the current version of `pyarrow` doesn\'t match this condition.\n'''
      '''If you are running this in a Google Colab, you should probably just restart the runtime to use the right version of `pyarrow`.'''
  )

del platform
del pyarrow
del version

from .arrow_dataset import Dataset
from .arrow_reader import ReadInstruction
from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
from .combine import concatenate_datasets, interleave_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .download import *
from .features import *
from .fingerprint import disable_caching, enable_caching, is_caching_enabled, set_caching_enabled
from .info import DatasetInfo, MetricInfo
from .inspect import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
    list_datasets,
    list_metrics,
)
from .iterable_dataset import IterableDataset
from .load import load_dataset, load_dataset_builder, load_from_disk, load_metric
from .metric import Metric
from .splits import (
    NamedSplit,
    NamedSplitAll,
    Split,
    SplitBase,
    SplitDict,
    SplitGenerator,
    SplitInfo,
    SubSplitInfo,
    percent,
)
from .tasks import *
from .utils import *
from .utils import logging


# deprecated modules
from datasets import arrow_dataset as _arrow_dataset  # isort:skip
from datasets import utils as _utils  # isort:skip
from datasets.utils import download_manager as _deprecated_download_manager  # isort:skip

UpperCAmelCase_			    =							concatenate_datasets
UpperCAmelCase_			    =							DownloadConfig
UpperCAmelCase_			    =							DownloadManager
UpperCAmelCase_			    =							DownloadMode
UpperCAmelCase_			    =							DownloadConfig
UpperCAmelCase_			    =							DownloadMode
UpperCAmelCase_			    =							DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager