

import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand




def        lowerCAmelCase(	SCREAMING_SNAKE_CASE_       )->		str:



    """simple docstring"""






    return EnvironmentCommand()






class 		__magic_name__ (				snake_case							):






     @staticmethod
     def      UpperCAmelCase_							(							_lowercase     )->			Optional[Any]:
         UpperCamelCase_          =		parser.add_parser("env"						,		help="Print relevant system environment info."     )
         download_parser.set_defaults(func=_lowercase     )






     def      UpperCAmelCase_							(							self     )->			Optional[Any]:
         UpperCamelCase_          =		{
             "`datasets` version": version,
             "Platform": platform.platform(),
             "Python version": platform.python_version(),
             "Huggingface_hub version": huggingface_hub.__version__,
             "PyArrow version": pyarrow.__version__,
             "Pandas version": pandas.__version__,
         }

         print("\nCopy-and-paste the text below in your GitHub issue.\n"     )
         print(self.format_dict(_lowercase     )     )

         return info






     @staticmethod
     def      UpperCAmelCase_							(							_lowercase     )->			Optional[int]:
         return "\n".join([F"- {prop}: {val}" for prop, val in d.items()]     ) + "\n"



from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE						:int      =			{"""configuration_yoso""": ["""YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP""", """YosoConfig"""]}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE						:List[Any]      =			[
     """YOSO_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """YosoForMaskedLM""",
     """YosoForMultipleChoice""",
     """YosoForQuestionAnswering""",
     """YosoForSequenceClassification""",
     """YosoForTokenClassification""",
     """YosoLayer""",
     """YosoModel""",
     """YosoPreTrainedModel""",
 ]


if TYPE_CHECKING:
 from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_yoso import (
      YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
      YosoForMaskedLM,
      YosoForMultipleChoice,
      YosoForQuestionAnswering,
      YosoForSequenceClassification,
      YosoForTokenClassification,
      YosoLayer,
      YosoModel,
      YosoPreTrainedModel,
  )


else:
 import sys

 SCREAMING_SNAKE_CASE						:str      =			_LazyModule(__name__, globals()["""__file__"""], _import_structure)
