


"""simple docstring"""







# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# See the License for the specific language governing permissions and
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from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool




class  UpperCamelCase_	( UpperCamelCase):

	"""simple docstring"""





	snake_case__				:  Optional[int]    					=			"philschmid/bart-large-cnn-samsum"
	snake_case__				:  str    					=			(
	    "This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, "
	    "and returns a summary of the text."
	)
	snake_case__				:  Union[str, Any]    					=			"summarizer"
	snake_case__				:  Optional[Any]    					=			AutoTokenizer
	snake_case__				:  Optional[int]    					=			AutoModelForSeqaSeqLM

	snake_case__				:  Any    					=			["text"]
	snake_case__				:  Tuple    					=			["text"]




	def   UpperCAmelCase_      ( self			:				str			,			UpperCAmelCase__			:				Optional[Any]   )       ->	int:
						return self.pre_processor(UpperCAmelCase__			,			return_tensors="pt"			,			truncation=UpperCAmelCase__   )




	def   UpperCAmelCase_      ( self			:				str			,			UpperCAmelCase__			:				int   )       ->	Any:
						return self.model.generate(**UpperCAmelCase__   )[0]




	def   UpperCAmelCase_      ( self			:				Any			,			UpperCAmelCase__			:				List[Any]   )       ->	List[Any]:
						return self.pre_processor.decode(UpperCAmelCase__			,			skip_special_tokens=UpperCAmelCase__			,			clean_up_tokenization_spaces=UpperCAmelCase__   )




"""simple docstring"""







def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					if number > 0:
										raise ValueError("input must be a negative integer"   )
					__SCREAMING_SNAKE_CASE						   =				len(bin(lowerCAmelCase_   )[3:]   )
					__SCREAMING_SNAKE_CASE						   =				bin(abs(lowerCAmelCase_   ) - (1 << binary_number_length)   )[3:]
					__SCREAMING_SNAKE_CASE						   =				(
					    (
					        "1"
					        + "0" * (binary_number_length - len(lowerCAmelCase_   ))
					        + twos_complement_number
					    )
					    if number < 0
					    else "0"
					)
					return "0b" + twos_complement_number


if __name__ == "__main__":
		import doctest

		doctest.testmod()
