





'''simple docstring'''

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 	_snake_case						(      A_       :    List[str]   ):
  """simple docstring"""







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






def 	_snake_case						(      ):
  """simple docstring"""







  a_      :	List[str]      =							ArgumentParser(
      """HuggingFace Datasets CLI tool"""     ,		usage="""datasets-cli <command> [<args>]"""     ,		allow_abbrev=A_   )
  a_      :	Tuple      =							parser.add_subparsers(help="""datasets-cli command helpers"""   )
  set_verbosity_info()

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

  # Parse args
  a_      :	List[Any]      =							parser.parse_known_args()
  if not hasattr(A_     ,		"""func"""   ):
    parser.print_help()
    exit(1   )
  a_      :	str      =							parse_unknown_args(A_   )

  # Run
  a_      :	str      =							args.func(A_     ,		**A_   )
  service.run()


if __name__ == "__main__":
    main()




'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


__snake_case:  Dict								=			{"configuration_encoder_decoder": ["EncoderDecoderConfig"]}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __snake_case:  List[str]								=			["EncoderDecoderModel"]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __snake_case:  Any								=			["TFEncoderDecoderModel"]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __snake_case:  List[str]								=			["FlaxEncoderDecoderModel"]

if TYPE_CHECKING:
    from .configuration_encoder_decoder import EncoderDecoderConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_encoder_decoder import EncoderDecoderModel

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
    import sys

    __snake_case:  Tuple								=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


