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 					SCREAMING_SNAKE_CASE_			(		lowerCAmelCase_: Any     ):
      return EnvironmentCommand()





class 					snake_case__       (				_UpperCamelCase							):



   @staticmethod
   def 					UpperCAmelCase__       (				A__   :   ArgumentParser   )							->     Optional[int]:




         '''simple docstring'''




         snake_case_     :			Optional[Any]       =       parser.add_parser("env"			,	help="Print relevant system environment info."   )
         download_parser.set_defaults(func=A__   )



   def 					UpperCAmelCase__       (				self   :   List[str]   )							->     Union[str, Any]:




         '''simple docstring'''




         snake_case_     :			str       =       {
             "`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(A__   )   )

         return info



   @staticmethod
   def 					UpperCAmelCase__       (				A__   :   str   )							->     Optional[int]:




         '''simple docstring'''




         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


UpperCAmelCase							=       {
    "configuration_nystromformer": ["NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "NystromformerConfig"],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase							=       [
         "NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
         "NystromformerForMaskedLM",
         "NystromformerForMultipleChoice",
         "NystromformerForQuestionAnswering",
         "NystromformerForSequenceClassification",
         "NystromformerForTokenClassification",
         "NystromformerLayer",
         "NystromformerModel",
         "NystromformerPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_nystromformer import (
              NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
              NystromformerForMaskedLM,
              NystromformerForMultipleChoice,
              NystromformerForQuestionAnswering,
              NystromformerForSequenceClassification,
              NystromformerForTokenClassification,
              NystromformerLayer,
              NystromformerModel,
              NystromformerPreTrainedModel,
          )


else:
     import sys

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



