





'''simple docstring'''


from typing import TYPE_CHECKING

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


lowerCAmelCase      :  Optional[int]      							={'''configuration_vit_hybrid''': ['''VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTHybridConfig''']}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase      :  List[str]      							=[
         '''VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''ViTHybridForImageClassification''',
         '''ViTHybridModel''',
         '''ViTHybridPreTrainedModel''',
     ]

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase      :  int      							=['''ViTHybridImageProcessor''']


if TYPE_CHECKING:
     from .configuration_vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_vit_hybrid import (
              VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
              ViTHybridForImageClassification,
              ViTHybridModel,
              ViTHybridPreTrainedModel,
          )

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .image_processing_vit_hybrid import ViTHybridImageProcessor


else:
     import sys

     lowerCAmelCase      :  List[str]      							=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)









'''simple docstring'''


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 							UpperCAmelCase_						(		__lowerCamelCase      :      Optional[int]				):
   return EnvironmentCommand()


class    a_     (       _lowerCAmelCase							):





     @staticmethod
     def 							lowercase__   (				lowercase	:      ArgumentParser		):





        """simple docstring"""




        lowercase_    :Optional[int]					    =				parser.add_parser("env"			,   help="Print relevant system environment info."		)
        download_parser.set_defaults(func=lowercase		)





     def 							lowercase__   (				self	:      List[str]		):





        """simple docstring"""




        lowercase_    :Tuple					    =				{
            "`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 							lowercase__   (				lowercase	:      Dict		):





        """simple docstring"""




        return "\n".join([F'- {prop}: {val}' for prop, val in d.items()]		) + "\n"


