'''simple docstring'''


def  _lowerCamelCase   (				lowerCamelCase_ :							Any       ):



     """simple docstring"""





     UpperCAmelCase_							:       Optional[Any]       =				[]
     UpperCAmelCase_							:       str       =				[]
     UpperCAmelCase_							:       Union[str, Any]       =				{
         '^': 3,
         '*': 2,
         '/': 2,
         '%': 2,
         '+': 1,
         '-': 1,
     }  # Priority of each operator
     UpperCAmelCase_							:       int       =				len(lowerCamelCase_       ) if (len(lowerCamelCase_       ) > 7) else 7

     # Print table header for output
     print(
         'Symbol'.center(8       )     ,					'Stack'.center(lowerCamelCase_       )     ,					'Postfix'.center(lowerCamelCase_       )     ,					sep=' | '     ,					)
     print('-' * (print_width * 3 + 7)       )

     for x in infix:
          if x.isalpha() or x.isdigit():
               post_fix.append(lowerCamelCase_       )  # if x is Alphabet / Digit, add it to Postfix
          elif x == "(":
               stack.append(lowerCamelCase_       )  # if x is "(" push to Stack
          elif x == ")":  # if x is ")" pop stack until "(" is encountered
               while stack[-1] != "(":
                    post_fix.append(stack.pop()       )  # Pop stack & add the content to Postfix
               stack.pop()
          else:
               if len(lowerCamelCase_       ) == 0:
                    stack.append(lowerCamelCase_       )  # If stack is empty, push x to stack
               else:  # while priority of x is not > priority of element in the stack
                    while len(lowerCamelCase_       ) > 0 and priority[x] <= priority[stack[-1]]:
                         post_fix.append(stack.pop()       )  # pop stack & add to Postfix
                    stack.append(lowerCamelCase_       )  # push x to stack

          print(
              x.center(8       )     ,					(''.join(lowerCamelCase_       )).ljust(lowerCamelCase_       )     ,					(''.join(lowerCamelCase_       )).ljust(lowerCamelCase_       )     ,					sep=' | '     ,					)  # Output in tabular format

     while len(lowerCamelCase_       ) > 0:  # while stack is not empty
          post_fix.append(stack.pop()       )  # pop stack & add to Postfix
          print(
              ' '.center(8       )     ,					(''.join(lowerCamelCase_       )).ljust(lowerCamelCase_       )     ,					(''.join(lowerCamelCase_       )).ljust(lowerCamelCase_       )     ,					sep=' | '     ,					)  # Output in tabular format

     return "".join(lowerCamelCase_       )  # return Postfix as str


def  _lowerCamelCase   (				lowerCamelCase_ :							int       ):



     """simple docstring"""





     UpperCAmelCase_							:       Union[str, Any]       =				list(infix[::-1]       )  # reverse the infix equation

     for i in range(len(lowerCamelCase_       )       ):
          if infix[i] == "(":
               UpperCAmelCase_							:       Tuple       =				')'  # change "(" to ")"
          elif infix[i] == ")":
               UpperCAmelCase_							:       Union[str, Any]       =				'('  # change ")" to "("

     return (infix_2_postfix(''.join(lowerCamelCase_       )       ))[
         ::-1
     ]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
 snake_case__					:      str				      =  input('''\nEnter an Infix Equation = ''')  # Input an Infix equation
 snake_case__					:      Any				      =  ''''''.join(Infix.split())  # Remove spaces from the input
 print('''\n\t''', Infix, '''(Infix) -> ''', infix_2_prefix(Infix), '''(Prefix)''')


'''simple docstring'''


import os
import time

import numpy as np
import onnxruntime as ort


snake_case__					:      Optional[int]				      =  '''1'''
snake_case__					:      str				      =  '''0'''
snake_case__					:      List[str]				      =  '''1'''

snake_case__					:      List[str]				      =  ort.SessionOptions()
snake_case__					:      str				      =  ort.GraphOptimizationLevel.ORT_DISABLE_ALL
print('''Create inference session...''')
snake_case__					:      Dict				      =  ['''TensorrtExecutionProvider''', '''CUDAExecutionProvider''']
snake_case__					:      Dict				      =  ort.InferenceSession('''model.onnx''', sess_options=sess_opt, providers=execution_provider)
snake_case__					:      str				      =  ort.RunOptions()

snake_case__					:      List[Any]				      =  128
snake_case__					:      Union[str, Any]				      =  1
snake_case__					:      Tuple				      =  np.ones((batch, sequence), dtype=np.intaa)
snake_case__					:      Tuple				      =  np.ones((batch, sequence), dtype=np.intaa)
snake_case__					:      Union[str, Any]				      =  np.ones((batch, sequence), dtype=np.intaa)

print('''Warm up phase...''')
sess.run(
    None,
    {
        sess.get_inputs()[0].name: input_ids,
        sess.get_inputs()[1].name: attention_mask,
        sess.get_inputs()[2].name: token_type_ids,
    },
    run_options=run_opt,
)

print('''Start inference...''')
snake_case__					:      Union[str, Any]				      =  time.time()
snake_case__					:      str				      =  2000
snake_case__					:      Tuple				      =  {}
for iter in range(max_iters):
 snake_case__					:      str				      =  sess.run(
     None,
     {
         sess.get_inputs()[0].name: input_ids,
         sess.get_inputs()[1].name: attention_mask,
         sess.get_inputs()[2].name: token_type_ids,
     },
     run_options=run_opt,
 )
print('''Average Inference Time = {:.3f} ms'''.format((time.time() - start_time) * 1000 / max_iters))






