



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      __lowercase       (			a__       )    ->			Union[str, Any]:
							return {key.lstrip('-'       ): value for key, value in zip(unknown_args[::2]							,       unknown_args[1::2]       )}






def      __lowercase       (			)    ->			str:
							__SCREAMING_SNAKE_CASE									= ArgumentParser(
							    'HuggingFace Datasets CLI tool'							,       usage='datasets-cli <command> [<args>]'							,       allow_abbrev=_a       )
							__SCREAMING_SNAKE_CASE									= 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
							__SCREAMING_SNAKE_CASE									= parser.parse_known_args()
							if not hasattr(_a							,       'func'       ):
														parser.print_help()
														exit(1       )
							__SCREAMING_SNAKE_CASE									= parse_unknown_args(_a       )

							# Run
							__SCREAMING_SNAKE_CASE									= args.func(_a							,       **_a       )
							service.run()


if __name__ == "__main__":
			main()











from typing import TYPE_CHECKING

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


lowerCAmelCase__		:					str							={'''configuration_vit_mae''': ['''VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTMAEConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__		:					Optional[int]							=[
			    '''VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''ViTMAEForPreTraining''',
			    '''ViTMAELayer''',
			    '''ViTMAEModel''',
			    '''ViTMAEPreTrainedModel''',
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__		:					List[str]							=[
			    '''TFViTMAEForPreTraining''',
			    '''TFViTMAEModel''',
			    '''TFViTMAEPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vit_mae import (
						    VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ViTMAEForPreTraining,
						    ViTMAELayer,
						    ViTMAEModel,
						    ViTMAEPreTrainedModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel


else:
			import sys

			lowerCAmelCase__		:					Optional[int]							=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






