


"""simple docstring"""





def      _snake_case						(						_snake_case				:			list ,   _snake_case				:			list			):
      _validate_point(_snake_case			)
      _validate_point(_snake_case			)
      if len(_snake_case			) != len(_snake_case			):
            raise ValueError('''Both points must be in the same n-dimensional space'''			)

      return float(sum(abs(a - b			) for a, b in zip(_snake_case ,   _snake_case			)			)			)


def      _snake_case						(						_snake_case				:			list[float]			):
      if point:
            if isinstance(_snake_case ,   _snake_case			):
                  for item in point:
                        if not isinstance(_snake_case ,   (int, float)			):
                              lowerCAmelCase					:	Union[str, Any]       =   (
                                  '''Expected a list of numbers as input, found '''
                                  f'''{type(_snake_case			).__name__}'''
                              )
                              raise TypeError(_snake_case			)
            else:
                  lowerCAmelCase					:	int       =   f'''Expected a list of numbers as input, found {type(_snake_case			).__name__}'''
                  raise TypeError(_snake_case			)
      else:
            raise ValueError('''Missing an input'''			)


def      _snake_case						(						_snake_case				:			list ,   _snake_case				:			list			):
      _validate_point(_snake_case			)
      _validate_point(_snake_case			)
      if len(_snake_case			) != len(_snake_case			):
            raise ValueError('''Both points must be in the same n-dimensional space'''			)

      return float(sum(abs(x - y			) for x, y in zip(_snake_case ,   _snake_case			)			)			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()






"""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
#
# 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_(       a__			):
     __UpperCamelCase  =					'''philschmid/bart-large-cnn-samsum'''
     __UpperCamelCase  =					(
         '''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.'''
     )
     __UpperCamelCase  =					'''summarizer'''
     __UpperCamelCase  =					AutoTokenizer
     __UpperCamelCase  =					AutoModelForSeqaSeqLM

     __UpperCamelCase  =					['''text''']
     __UpperCamelCase  =					['''text''']






     def      lowerCamelCase__     (	self  :					Dict					,				UpperCamelCase_  :					int				):
           return self.pre_processor(UpperCamelCase_					,				return_tensors='''pt'''					,				truncation=UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Optional[int]					,				UpperCamelCase_  :					str				):
           return self.model.generate(**UpperCamelCase_				)[0]






     def      lowerCamelCase__     (	self  :					Any					,				UpperCamelCase_  :					Tuple				):
           return self.pre_processor.decode(UpperCamelCase_					,				skip_special_tokens=UpperCamelCase_					,				clean_up_tokenization_spaces=UpperCamelCase_				)


