




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tensorflow_text_available, is_torch_available


_snake_case										=       {
    "configuration_ernie": ["ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP", "ErnieConfig", "ErnieOnnxConfig"],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case										=       [
      "ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST",
      "ErnieForCausalLM",
      "ErnieForMaskedLM",
      "ErnieForMultipleChoice",
      "ErnieForNextSentencePrediction",
      "ErnieForPreTraining",
      "ErnieForQuestionAnswering",
      "ErnieForSequenceClassification",
      "ErnieForTokenClassification",
      "ErnieModel",
      "ErniePreTrainedModel",
  ]

if TYPE_CHECKING:
  from .configuration_ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig, ErnieOnnxConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_ernie import (
        ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
        ErnieForCausalLM,
        ErnieForMaskedLM,
        ErnieForMultipleChoice,
        ErnieForNextSentencePrediction,
        ErnieForPreTraining,
        ErnieForQuestionAnswering,
        ErnieForSequenceClassification,
        ErnieForTokenClassification,
        ErnieModel,
        ErniePreTrainedModel,
    )

else:
  import sys

  _snake_case										=       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)







import requests
from bsa import BeautifulSoup







def 				lowerCAmelCase_	(     snake_case_ = "AAPL"     ):
      _A							:     str			=						f'''https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'''
      _A							:     List[Any]			=						BeautifulSoup(requests.get(snake_case_     ).text,"""html.parser"""     )
      _A							:     Union[str, Any]			=						"""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}""")

