






"""simple docstring"""


import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 					snake_case		(							_lowerCAmelCase   ,	unittest.TestCase						):


   '''simple docstring'''

   A_						:	Union[str, Any]						 = OpenAIGPTTokenizer
   A_						:	Optional[Any]						 = OpenAIGPTTokenizerFast
   A_						:	Optional[int]						 = True
   A_						:	Optional[Any]						 = False


   def 				_SCREAMING_SNAKE_CASE				(	self :     List[Any]  ):

     '''simple docstring'''
     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     __A									= [
         '''l''',
         '''o''',
         '''w''',
         '''e''',
         '''r''',
         '''s''',
         '''t''',
         '''i''',
         '''d''',
         '''n''',
         '''w</w>''',
         '''r</w>''',
         '''t</w>''',
         '''lo''',
         '''low''',
         '''er</w>''',
         '''low</w>''',
         '''lowest</w>''',
         '''newer</w>''',
         '''wider</w>''',
         '''<unk>''',
     ]
     __A									= dict(zip(_lowerCamelCase,       range(len(_lowerCamelCase  )  )  )  )
     __A									= ['''#version: 0.2''', '''l o''', '''lo w''', '''e r</w>''', '''''']

     __A									= os.path.join(self.tmpdirname,       VOCAB_FILES_NAMES['''vocab_file''']  )
     __A									= os.path.join(self.tmpdirname,       VOCAB_FILES_NAMES['''merges_file''']  )
     with open(self.vocab_file,       '''w'''  ) as fp:
       fp.write(json.dumps(_lowerCamelCase  )  )
     with open(self.merges_file,       '''w'''  ) as fp:
       fp.write('''\n'''.join(_lowerCamelCase  )  )


   def 				_SCREAMING_SNAKE_CASE				(	self :     List[str],       _lowerCamelCase :     List[str]  ):

     '''simple docstring'''
     return "lower newer", "lower newer"


   def 				_SCREAMING_SNAKE_CASE				(	self :     Tuple  ):

     '''simple docstring'''
     __A									= OpenAIGPTTokenizer(self.vocab_file,       self.merges_file  )

     __A									= '''lower'''
     __A									= ['''low''', '''er</w>''']
     __A									= tokenizer.tokenize(_lowerCamelCase  )
     self.assertListEqual(_lowerCamelCase,       _lowerCamelCase  )

     __A									= tokens + ['''<unk>''']
     __A									= [14, 15, 20]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase  ),       _lowerCamelCase  )


   def 				_SCREAMING_SNAKE_CASE				(	self :     Dict,       _lowerCamelCase :     List[str]=15  ):

     '''simple docstring'''
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'  ):
         __A									= self.rust_tokenizer_class.from_pretrained(_lowerCamelCase,       **_lowerCamelCase  )

         # Simple input
         __A									= '''This is a simple input'''
         __A									= ['''This is a simple input 1''', '''This is a simple input 2''']
         __A									= ('''This is a simple input''', '''This is a pair''')
         __A									= [
             ('''This is a simple input 1''', '''This is a simple input 2'''),
             ('''This is a simple pair 1''', '''This is a simple pair 2'''),
         ]

         # Simple input tests
         self.assertRaises(_lowerCamelCase,       tokenizer_r.encode,       _lowerCamelCase,       max_length=_lowerCamelCase,       padding='''max_length'''  )

         # Simple input
         self.assertRaises(_lowerCamelCase,       tokenizer_r.encode_plus,       _lowerCamelCase,       max_length=_lowerCamelCase,       padding='''max_length'''  )

         # Simple input
         self.assertRaises(
             _lowerCamelCase,       tokenizer_r.batch_encode_plus,       _lowerCamelCase,       max_length=_lowerCamelCase,       padding='''max_length''',       )

         # Pair input
         self.assertRaises(_lowerCamelCase,       tokenizer_r.encode,       _lowerCamelCase,       max_length=_lowerCamelCase,       padding='''max_length'''  )

         # Pair input
         self.assertRaises(_lowerCamelCase,       tokenizer_r.encode_plus,       _lowerCamelCase,       max_length=_lowerCamelCase,       padding='''max_length'''  )

         # Pair input
         self.assertRaises(
             _lowerCamelCase,       tokenizer_r.batch_encode_plus,       _lowerCamelCase,       max_length=_lowerCamelCase,       padding='''max_length''',       )






   def 				_SCREAMING_SNAKE_CASE				(	self :     Optional[int]  ):

     '''simple docstring'''
     pass





@require_ftfy
@require_spacy
@require_tokenizers
class 					snake_case		(							_lowerCAmelCase						):


   '''simple docstring'''

   pass












"""simple docstring"""


from __future__ import annotations

from typing import Any



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  if not postfix_notation:
    return 0

  __A									= {'''+''', '''-''', '''*''', '''/'''}
  __A									= []

  for token in postfix_notation:
    if token in operations:
      __A			,    __A									= stack.pop(), stack.pop()
      if token == "+":
        stack.append(a + b )
      elif token == "-":
        stack.append(a - b )
      elif token == "*":
        stack.append(a * b )
      else:
        if a * b < 0 and a % b != 0:
          stack.append(a // b + 1 )
        else:
          stack.append(a // b )
    else:
      stack.append(int(__UpperCamelCase ) )

  return stack.pop()


if __name__ == "__main__":
       import doctest

       doctest.testmod()




