




from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
 import tensorflow as tf

 from transformers import AutoTokenizer, TFAutoModelForSeqaSeqLM







@require_tf
@require_sentencepiece
@require_tokenizers
class 						A(		unittest.TestCase     ):



 '''simple docstring'''


 @slow
 def        a__				(       self      :						int						)     ->			str:

       """simple docstring"""






       lowerCamelCase_	  =					TFAutoModelForSeqaSeqLM.from_pretrained('google/mt5-small'						)
       lowerCamelCase_	  =					AutoTokenizer.from_pretrained('google/mt5-small'						)

       lowerCamelCase_	  =					tokenizer('Hello there'		,							return_tensors='tf'						).input_ids
       lowerCamelCase_	  =					tokenizer('Hi I am'		,							return_tensors='tf'						).input_ids

       lowerCamelCase_	  =					model(A_		,							labels=A_						).loss
       lowerCamelCase_	  =					-tf.math.reduce_mean(A_						).numpy()

       lowerCamelCase_	  =					-21.228168
       self.assertTrue(abs(mtf_score - EXPECTED_SCORE						) < 2E-4						)









lowerCamelCase       :	Dict									=     "Alexander Joslin"

import operator as op

from .stack import Stack

def     _SCREAMING_SNAKE_CASE    (							lowercase			: str  ):


      '''simple docstring'''



      lowerCamelCase_	  =					{'*': op.mul, '/': op.truediv, '+': op.add, '-': op.sub}

      lowerCamelCase_	  =					Stack()
      lowerCamelCase_	  =					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
                  lowerCamelCase_	  =					operator_stack.peek()
                  operator_stack.pop()
                  lowerCamelCase_	  =					operand_stack.peek()
                  operand_stack.pop()
                  lowerCamelCase_	  =					operand_stack.peek()
                  operand_stack.pop()

                  lowerCamelCase_	  =					operators[opr](lowercase			,							lowercase  )
                  operand_stack.push(lowercase  )

    # RULE 5
      return operand_stack.peek()


if __name__ == "__main__":
 lowerCamelCase       :	Any									=     "(5 + ((4 * 2) * (2 + 3)))"
 # answer = 45
 print(F"""{equation} = {dijkstras_two_stack_algorithm(equation)}""")



