


"""simple docstring"""






def 					A_      (      _lowerCAmelCase   :    int				):






     """simple docstring"""

     if not isinstance(_lowerCAmelCase,   _lowerCAmelCase				):
          raise ValueError('''multiplicative_persistence() only accepts integral values'''				)
     if num < 0:
          raise ValueError('''multiplicative_persistence() does not accept negative values'''				)

     _a					= 0
     _a					= str(_lowerCAmelCase				)

     while len(_lowerCAmelCase				) != 1:
          _a					= [int(_lowerCAmelCase				) for i in num_string]

          _a					= 1
          for i in range(0,   len(_lowerCAmelCase				)				):
               total *= numbers[i]

          _a					= str(_lowerCAmelCase				)

          steps += 1
     return steps
def 					A_      (      _lowerCAmelCase   :    int				):






     """simple docstring"""

     if not isinstance(_lowerCAmelCase,   _lowerCAmelCase				):
          raise ValueError('''additive_persistence() only accepts integral values'''				)
     if num < 0:
          raise ValueError('''additive_persistence() does not accept negative values'''				)

     _a					= 0
     _a					= str(_lowerCAmelCase				)

     while len(_lowerCAmelCase				) != 1:
          _a					= [int(_lowerCAmelCase				) for i in num_string]

          _a					= 0
          for i in range(0,   len(_lowerCAmelCase				)				):
               total += numbers[i]

          _a					= str(_lowerCAmelCase				)

          steps += 1
     return steps


if __name__ == "__main__":
   import doctest

   doctest.testmod()






# 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 				__lowerCAmelCase       (    UpperCamelCase__):
      _lowercase				:					Optional[Any]						=			"""philschmid/bart-large-cnn-samsum"""
      _lowercase				:					List[Any]						=			(
          """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."""
      )
      _lowercase				:					Any						=			"""summarizer"""
      _lowercase				:					Any						=			AutoTokenizer
      _lowercase				:					str						=			AutoModelForSeqaSeqLM

      _lowercase				:					Optional[int]						=			["""text"""]
      _lowercase				:					Optional[int]						=			["""text"""]







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						Tuple:



        '''simple docstring'''




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







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						Union[str, Any]:



        '''simple docstring'''




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







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						Any:



        '''simple docstring'''




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






