


"""simple docstring"""





from __future__ import annotations


def      _snake_case						(						_snake_case				:			float ,   _snake_case				:			float ,   _snake_case				:			float			):

      if days_between_payments <= 0:
            raise ValueError('''days_between_payments must be > 0'''			)
      if daily_interest_rate < 0:
            raise ValueError('''daily_interest_rate must be >= 0'''			)
      if principal <= 0:
            raise ValueError('''principal must be > 0'''			)
      return principal * daily_interest_rate * days_between_payments


def      _snake_case						(						_snake_case				:			float ,   _snake_case				:			float ,   _snake_case				:			float ,   ):

      if number_of_compounding_periods <= 0:
            raise ValueError('''number_of_compounding_periods must be > 0'''			)
      if nominal_annual_interest_rate_percentage < 0:
            raise ValueError('''nominal_annual_interest_rate_percentage must be >= 0'''			)
      if principal <= 0:
            raise ValueError('''principal must be > 0'''			)

      return principal * (
          (1 + nominal_annual_interest_rate_percentage) ** number_of_compounding_periods
          - 1
      )


def      _snake_case						(						_snake_case				:			float ,   _snake_case				:			float ,   _snake_case				:			float ,   ):

      if number_of_years <= 0:
            raise ValueError('''number_of_years must be > 0'''			)
      if nominal_annual_percentage_rate < 0:
            raise ValueError('''nominal_annual_percentage_rate must be >= 0'''			)
      if principal <= 0:
            raise ValueError('''principal must be > 0'''			)

      return compound_interest(
          UpperCAmelCase__ ,   nominal_annual_percentage_rate / 365 ,   number_of_years * 365			)


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_				)


