
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


A		: List[Any]								=     logging.get_logger(__name__)



class    a_ (			_a					,			_a    ):
			a	:			Any					   =							'''maskformer-swin'''

			a	:			Dict					   =							{
			    '''num_attention_heads''': '''num_heads''',
			    '''num_hidden_layers''': '''num_layers''',
			}






			def __init__(      self				,			__UpperCamelCase=224				,			__UpperCamelCase=4				,			__UpperCamelCase=3				,			__UpperCamelCase=96				,			__UpperCamelCase=[2, 2, 6, 2]				,			__UpperCamelCase=[3, 6, 12, 24]				,			__UpperCamelCase=7				,			__UpperCamelCase=4.0				,			__UpperCamelCase=True				,			__UpperCamelCase=0.0				,			__UpperCamelCase=0.0				,			__UpperCamelCase=0.1				,			__UpperCamelCase="gelu"				,			__UpperCamelCase=False				,			__UpperCamelCase=0.02				,			__UpperCamelCase=1E-5				,			__UpperCamelCase=None				,			__UpperCamelCase=None				,			**__UpperCamelCase				,			):
									super().__init__(**__UpperCamelCase  )

									_lowercase					       =					image_size
									_lowercase					       =					patch_size
									_lowercase					       =					num_channels
									_lowercase					       =					embed_dim
									_lowercase					       =					depths
									_lowercase					       =					len(__UpperCamelCase  )
									_lowercase					       =					num_heads
									_lowercase					       =					window_size
									_lowercase					       =					mlp_ratio
									_lowercase					       =					qkv_bias
									_lowercase					       =					hidden_dropout_prob
									_lowercase					       =					attention_probs_dropout_prob
									_lowercase					       =					drop_path_rate
									_lowercase					       =					hidden_act
									_lowercase					       =					use_absolute_embeddings
									_lowercase					       =					layer_norm_eps
									_lowercase					       =					initializer_range
									# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
									# this indicates the channel dimension after the last stage of the model
									_lowercase					       =					int(embed_dim * 2 ** (len(__UpperCamelCase  ) - 1)  )
									_lowercase					       =					["""stem"""] + [f"""stage{idx}""" for idx in range(1				,			len(__UpperCamelCase  ) + 1  )]
									_lowercase       ,						_lowercase					       =					get_aligned_output_features_output_indices(
									    out_features=__UpperCamelCase				,			out_indices=__UpperCamelCase				,			stage_names=self.stage_names  )

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__  (     SCREAMING_SNAKE_CASE_	:	List[Any]       )  ->     Optional[int]:
						return {key.lstrip("""-"""       ): value for key, value in zip(unknown_args[::2]		,   unknown_args[1::2]       )}




def 	UpperCamelCase__  (     )  ->     Dict:
						_lowercase					       =					ArgumentParser(
						    """HuggingFace Datasets CLI tool"""		,   usage="""datasets-cli <command> [<args>]"""		,   allow_abbrev=SCREAMING_SNAKE_CASE_       )
						_lowercase					       =					parser.add_subparsers(help="""datasets-cli command helpers"""       )
						set_verbosity_info()

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

						# Parse args
						_lowercase       ,						_lowercase					       =					parser.parse_known_args()
						if not hasattr(SCREAMING_SNAKE_CASE_		,   """func"""       ):
												parser.print_help()
												exit(1       )
						_lowercase					       =					parse_unknown_args(SCREAMING_SNAKE_CASE_       )

						# Run
						_lowercase					       =					args.func(SCREAMING_SNAKE_CASE_		,   **SCREAMING_SNAKE_CASE_       )
						service.run()


if __name__ == "__main__":
		main()