






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__				(   __lowerCamelCase      :					List[str]		):
  return EnvironmentCommand()







class    a   (			lowercase__       ):



      """simple docstring"""


      @staticmethod
      def      UpperCAmelCase				(				__lowercase :      ArgumentParser )							->				str:
        __UpperCAmelCase							:     str									=  parser.add_parser("""env"""		,				help="""Print relevant system environment info.""" )
        download_parser.set_defaults(func=__lowercase )
      def      UpperCAmelCase				(				self :      Tuple )							->				Union[str, Any]:
        __UpperCAmelCase							:     Optional[int]									=  {
            """`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 :      Tuple )							->				str:
        return "\n".join([f"""- {prop}: {val}""" for prop, val in d.items()] ) + "\n"










from typing import TYPE_CHECKING

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


a		:	Any      					=			{
    "configuration_deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Optional[int]      					=			["DetaImageProcessor"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Tuple      					=			[
           "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
           "DetaForObjectDetection",
           "DetaModel",
           "DetaPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .image_processing_deta import DetaImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_deta import (
                  DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DetaForObjectDetection,
                  DetaModel,
                  DetaPreTrainedModel,
              )

else:
       import sys

       a		:	Any      					=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


