




# 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
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool
class        __snake_case  (lowercase_		):
				lowerCAmelCase__				=     '''philschmid/bart-large-cnn-samsum'''
				lowerCAmelCase__				=     (
				    '''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.'''
				)
				lowerCAmelCase__				=     '''summarizer'''
				lowerCAmelCase__				=     AutoTokenizer
				lowerCAmelCase__				=     AutoModelForSeqaSeqLM

				lowerCAmelCase__				=     ['''text''']
				lowerCAmelCase__				=     ['''text''']



				def       SCREAMING_SNAKE_CASE       (      self      :		int		,	_UpperCAmelCase      :		str      )  ->    str:





								'''simple docstring'''




								return self.pre_processor(_UpperCAmelCase		,	return_tensors="""pt"""		,	truncation=_UpperCAmelCase      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Tuple		,	_UpperCAmelCase      :		List[str]      )  ->    List[Any]:





								'''simple docstring'''




								return self.model.generate(**_UpperCAmelCase      )[0]



				def       SCREAMING_SNAKE_CASE       (      self      :		Dict		,	_UpperCAmelCase      :		int      )  ->    List[str]:





								'''simple docstring'''




								return self.pre_processor.decode(_UpperCAmelCase		,	skip_special_tokens=_UpperCAmelCase		,	clean_up_tokenization_spaces=_UpperCAmelCase      )







from math import loga




def 							_UpperCAmelCase  (UpperCamelCase_ : int       ):
				'''simple docstring'''
				if a < 0:
								raise ValueError("""Input value must be a positive integer"""       )
				elif isinstance(UpperCamelCase_      ,    UpperCamelCase_       ):
								raise TypeError("""Input value must be a 'int' type"""       )
				return 0 if (a == 0) else int(loga(a & -a       )       )


if __name__ == "__main__":
	import doctest

	doctest.testmod()

