






"""simple docstring"""







# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

_lowerCAmelCase            =	'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

_lowerCAmelCase            =	concatenate_datasets
_lowerCAmelCase            =	DownloadConfig
_lowerCAmelCase            =	DownloadManager
_lowerCAmelCase            =	DownloadMode
_lowerCAmelCase            =	DownloadConfig
_lowerCAmelCase            =	DownloadMode
_lowerCAmelCase            =	DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager








"""simple docstring"""







import requests
from bsa import BeautifulSoup


def      UpperCamelCase       ( _A = "AAPL" )     ->       str:
				lowercase    :      Optional[Any]       = F"""https://in.finance.yahoo.com/quote/{symbol}?s={symbol}"""
				lowercase    :      str       = BeautifulSoup(requests.get(_A ).text  ,				"""html.parser""" )
				lowercase    :      int       = """My(6px) Pos(r) smartphone_Mt(6px)"""
				return soup.find("""div"""  ,				class_=class_ ).find("""span""" ).text


if __name__ == "__main__":
				for symbol in "AAPL AMZN IBM GOOG MSFT ORCL".split():
								print(F'Current {symbol:<4} stock price is {stock_price(symbol):>8}')
