


"""simple docstring"""





from __future__ import annotations

snake_case__		:     Tuple    				=				1.6021e-19  # units = C


def      _snake_case						(						_snake_case				:			str ,   _snake_case				:			List[Any] ,   _snake_case				:			int ,   ):


      if (conductivity, electron_conc, mobility).count(0			) != 1:
            raise ValueError('''You cannot supply more or less than 2 values'''			)
      elif conductivity < 0:
            raise ValueError('''Conductivity cannot be negative'''			)
      elif electron_conc < 0:
            raise ValueError('''Electron concentration cannot be negative'''			)
      elif mobility < 0:
            raise ValueError('''mobility cannot be negative'''			)
      elif conductivity == 0:
            return (
                "conductivity",
                mobility * electron_conc * ELECTRON_CHARGE,
            )
      elif electron_conc == 0:
            return (
                "electron_conc",
                conductivity / (mobility * ELECTRON_CHARGE),
            )
      else:
            return (
                "mobility",
                conductivity / (electron_conc * ELECTRON_CHARGE),
            )


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_				)


