





'''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						):





      """simple docstring"""


      return EnvironmentCommand()





class 				UpperCAmelCase  (    snake_case_     ):




     @staticmethod
     def        lowercase__					(    __snake_case    :				ArgumentParser						)       ->   Optional[int]:
           _lowerCAmelCase							  =							parser.add_parser("""env"""    ,    help="""Print relevant system environment info."""						)
           download_parser.set_defaults(func=__snake_case						)




     def        lowercase__					(    self    :				Tuple						)       ->   Optional[int]:
           _lowerCAmelCase							  =							{
               """`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(__snake_case						)						)

           return info




     @staticmethod
     def        lowercase__					(    __snake_case    :				List[Any]						)       ->   int:
           return "\n".join([f"- {prop}: {val}" for prop, val in d.items()]						) + "\n"













'''simple docstring'''






from typing import TYPE_CHECKING

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


A__       :     Tuple          ={
    '''configuration_oneformer''': ['''ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''OneFormerConfig'''],
    '''processing_oneformer''': ['''OneFormerProcessor'''],
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__       :     List[str]          =['''OneFormerImageProcessor''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__       :     Dict          =[
          '''ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''OneFormerForUniversalSegmentation''',
          '''OneFormerModel''',
          '''OneFormerPreTrainedModel''',
      ]

if TYPE_CHECKING:
      from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
      from .processing_oneformer import OneFormerProcessor

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .image_processing_oneformer import OneFormerImageProcessor
      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_oneformer import (
                ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                OneFormerForUniversalSegmentation,
                OneFormerModel,
                OneFormerPreTrainedModel,
            )


else:
      import sys

      A__       :     Optional[Any]          =_LazyModule(__name__, globals()['''__file__'''], _import_structure)






