



from typing import TYPE_CHECKING

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


snake_case    :						Optional[Any]  =						{'configuration_mbart': ['MBART_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MBartConfig', 'MBartOnnxConfig']}

try:
		if not is_sentencepiece_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		snake_case    :						Union[str, Any]  =						['MBartTokenizer']

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		snake_case    :						str  =						['MBartTokenizerFast']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		snake_case    :						str  =						[
		    'MBART_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'MBartForCausalLM',
		    'MBartForConditionalGeneration',
		    'MBartForQuestionAnswering',
		    'MBartForSequenceClassification',
		    'MBartModel',
		    'MBartPreTrainedModel',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		snake_case    :						Dict  =						[
		    'TFMBartForConditionalGeneration',
		    'TFMBartModel',
		    'TFMBartPreTrainedModel',
		]

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		snake_case    :						Union[str, Any]  =						[
		    'FlaxMBartForConditionalGeneration',
		    'FlaxMBartForQuestionAnswering',
		    'FlaxMBartForSequenceClassification',
		    'FlaxMBartModel',
		    'FlaxMBartPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_mbart import MBART_PRETRAINED_CONFIG_ARCHIVE_MAP, MBartConfig, MBartOnnxConfig

		try:
				if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_mbart import MBartTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_mbart_fast import MBartTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mbart import (
				    MBART_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MBartForCausalLM,
				    MBartForConditionalGeneration,
				    MBartForQuestionAnswering,
				    MBartForSequenceClassification,
				    MBartModel,
				    MBartPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_mbart import (
				    FlaxMBartForConditionalGeneration,
				    FlaxMBartForQuestionAnswering,
				    FlaxMBartForSequenceClassification,
				    FlaxMBartModel,
				    FlaxMBartPreTrainedModel,
				)

else:
		import sys

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




from argparse import ArgumentParser

from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_to_tf import PTtoTFCommand
from .run import RunCommand
from .serving import ServeCommand
from .user import UserCommands
def 	snake_case__       (					)		->		List[Any]:







						"""simple docstring"""

						A__	:							List[Any]						    = ArgumentParser("Transformers CLI tool"							,     usage="transformers-cli <command> [<args>]"       )
						A__	:							int						    = parser.add_subparsers(help="transformers-cli command helpers"       )

						# Register commands
						ConvertCommand.register_subcommand(__lowercase       )
						DownloadCommand.register_subcommand(__lowercase       )
						EnvironmentCommand.register_subcommand(__lowercase       )
						RunCommand.register_subcommand(__lowercase       )
						ServeCommand.register_subcommand(__lowercase       )
						UserCommands.register_subcommand(__lowercase       )
						AddNewModelCommand.register_subcommand(__lowercase       )
						AddNewModelLikeCommand.register_subcommand(__lowercase       )
						LfsCommands.register_subcommand(__lowercase       )
						PTtoTFCommand.register_subcommand(__lowercase       )

						# Let's go
						A__	:							int						    = parser.parse_args()

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

						# Run
						A__	:							Any						    = args.func(__lowercase       )
						service.run()


if __name__ == "__main__":
		main()