


from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return {key.lstrip('''-'''    ): value for key, value in zip(unknown_args[::2]							,unknown_args[1::2]    )}
def       UpperCAmelCase__						():



     """simple docstring"""






     snake_case					=    ArgumentParser(
         '''HuggingFace Datasets CLI tool'''							,usage='''datasets-cli <command> [<args>]'''							,allow_abbrev=UpperCamelCase_    )
     snake_case					=    parser.add_subparsers(help='''datasets-cli command helpers'''    )
     set_verbosity_info()

     # Register commands
     ConvertCommand.register_subcommand(UpperCamelCase_    )
     EnvironmentCommand.register_subcommand(UpperCamelCase_    )
     TestCommand.register_subcommand(UpperCamelCase_    )
     RunBeamCommand.register_subcommand(UpperCamelCase_    )
     DummyDataCommand.register_subcommand(UpperCamelCase_    )

     # Parse args
     snake_case			,  snake_case					=    parser.parse_known_args()
     if not hasattr(UpperCamelCase_							,'''func'''    ):
          parser.print_help()
          exit(1    )
     snake_case					=    parse_unknown_args(UpperCamelCase_    )

     # Run
     snake_case					=    args.func(UpperCamelCase_							,**UpperCamelCase_    )
     service.run()


if __name__ == "__main__":
 main()








from typing import TYPE_CHECKING

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


_SCREAMING_SNAKE_CASE      :			Dict      				=   {"configuration_van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"]}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _SCREAMING_SNAKE_CASE      :			Dict      				=   [
     "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
     "VanForImageClassification",
     "VanModel",
     "VanPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_van import (
      VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
      VanForImageClassification,
      VanModel,
      VanPreTrainedModel,
  )

else:
 import sys

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




