
'''simple docstring'''



from argparse import ArgumentParser

from .env import EnvironmentCommand


def A				():
						_lowerCAmelCase  						=			ArgumentParser("""Diffusers CLI tool"""			,     usage="""diffusers-cli <command> [<args>]"""		)
						_lowerCAmelCase  						=			parser.add_subparsers(help="""diffusers-cli command helpers"""		)

						# Register commands
						EnvironmentCommand.register_subcommand(__lowerCamelCase		)

						# Let's go
						_lowerCAmelCase  						=			parser.parse_args()

						if not hasattr(__lowerCamelCase			,     """func"""		):
												parser.print_help()
												exit(1		)

						# Run
						_lowerCAmelCase  						=			args.func(__lowerCamelCase		)
						service.run()


if __name__ == "__main__":
						main()


'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase    =		{
    """configuration_table_transformer""": [
        """TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """TableTransformerConfig""",
        """TableTransformerOnnxConfig""",
    ]
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowercase    =		[
						    """TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """TableTransformerForObjectDetection""",
						    """TableTransformerModel""",
						    """TableTransformerPreTrainedModel""",
						]


if TYPE_CHECKING:
						from .configuration_table_transformer import (
						    TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    TableTransformerConfig,
						    TableTransformerOnnxConfig,
						)

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_table_transformer import (
												    TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TableTransformerForObjectDetection,
												    TableTransformerModel,
												    TableTransformerPreTrainedModel,
												)

else:
						import sys

						_lowercase    =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
