



import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding




class   UpperCamelCase_       (     UpperCamelCase__    ):
							lowerCamelCase_           =					["image_processor", "tokenizer"]
							lowerCamelCase_           =					"CLIPImageProcessor"
							lowerCamelCase_           =					("XLMRobertaTokenizer", "XLMRobertaTokenizerFast")


							def __init__(							self    :Optional[int]							,				__A    :Dict=None							,				__A    :str=None							,				**__A    :str		)   ->   int:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      None
									if "feature_extractor" in kwargs:
											warnings.warn(
											    """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
											    """ instead."""							,				__A							,				)
											SCREAMING_SNAKE_CASE__			=      kwargs.pop("""feature_extractor"""		)

									SCREAMING_SNAKE_CASE__			=      image_processor if image_processor is not None else feature_extractor
									if image_processor is None:
											raise ValueError("""You need to specify an `image_processor`."""		)
									if tokenizer is None:
											raise ValueError("""You need to specify a `tokenizer`."""		)

									super().__init__(__A							,				__A		)


							def __call__(							self    :Any							,				__A    :Dict=None							,				__A    :List[str]=None							,				__A    :int=None							,				**__A    :int		)   ->   Any:



									"""simple docstring"""



									if text is None and images is None:
											raise ValueError("""You have to specify either text or images. Both cannot be none."""		)

									if text is not None:
											SCREAMING_SNAKE_CASE__			=      self.tokenizer(__A							,				return_tensors=__A							,				**__A		)

									if images is not None:
											SCREAMING_SNAKE_CASE__			=      self.image_processor(__A							,				return_tensors=__A							,				**__A		)

									if text is not None and images is not None:
											SCREAMING_SNAKE_CASE__			=      image_features.pixel_values
											return encoding
									elif text is not None:
											return encoding
									else:
											return BatchEncoding(data=dict(**__A		)							,				tensor_type=__A		)


							def      _snake_case  (							self    :Union[str, Any]							,				*__A    :List[Any]							,				**__A    :Optional[int]		)   ->   Optional[int]:



									"""simple docstring"""



									return self.tokenizer.batch_decode(*__A							,				**__A		)


							def      _snake_case  (							self    :Union[str, Any]							,				*__A    :Dict							,				**__A    :Tuple		)   ->   Optional[int]:



									"""simple docstring"""



									return self.tokenizer.decode(*__A							,				**__A		)


							@property
							def      _snake_case  (							self    :int		)   ->   str:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      self.tokenizer.model_input_names
									SCREAMING_SNAKE_CASE__			=      self.image_processor.model_input_names
									return list(dict.fromkeys(tokenizer_input_names + image_processor_input_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 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							Any    ):
		return {key.lstrip("""-"""    ): value for key, value in zip(unknown_args[::2]					,   unknown_args[1::2]    )}






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

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

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

		# Run
		SCREAMING_SNAKE_CASE__			=      args.func(UpperCamelCase__					,   **UpperCamelCase__    )
		service.run()


if __name__ == "__main__":
	main()