




"""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      UpperCAmelCase_  (						A_							):
    lowercase__						 =				'''philschmid/bart-large-cnn-samsum'''
    lowercase__						 =				(
        '''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__						 =				'''summarizer'''
    lowercase__						 =				AutoTokenizer
    lowercase__						 =				AutoModelForSeqaSeqLM

    lowercase__						 =				['''text''']
    lowercase__						 =				['''text''']




    def 							__magic_name__							(   self						:	List[str]     ,			snake_case_						:	List[Any]				)				->							Optional[int]:




     '''simple docstring'''

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




    def 							__magic_name__							(   self						:	Optional[Any]     ,			snake_case_						:	str				)				->							Union[str, Any]:




     '''simple docstring'''

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




    def 							__magic_name__							(   self						:	Optional[int]     ,			snake_case_						:	Optional[int]				)				->							List[Any]:




     '''simple docstring'''

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











"""simple docstring"""



SCREAMING_SNAKE_CASE    =	"Alexander Joslin"

import operator as op

from .stack import Stack







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		int:
 A__	=    {"*": op.mul, "/": op.truediv, "+": op.add, "-": op.sub}

 A__	=    Stack()
 A__	=    Stack()

 for i in equation:
  if i.isdigit():
   # RULE 1
   operand_stack.push(int(lowercase_						)						)
  elif i in operators:
   # RULE 2
   operator_stack.push(lowercase_						)
  elif i == ")":
   # RULE 4
   A__	=    operator_stack.peek()
   operator_stack.pop()
   A__	=    operand_stack.peek()
   operand_stack.pop()
   A__	=    operand_stack.peek()
   operand_stack.pop()

   A__	=    operators[opr](lowercase_      ,			lowercase_						)
   operand_stack.push(lowercase_						)

    # RULE 5
 return operand_stack.peek()


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE    =	"(5 + ((4 * 2) * (2 + 3)))"
      # answer = 45
      print(f'{equation} = {dijkstras_two_stack_algorithm(equation)}')





