import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class 		_lowerCamelCase		( UpperCamelCase_     ,  unittest.TestCase     ):
    __a						=   XLMTokenizer
    __a						=   False
    def     UpperCamelCase_					(	self )							->       str:
     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     SCREAMING_SNAKE_CASE__: List[Any]=   [
         '''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>''',
     ]
     SCREAMING_SNAKE_CASE__: Tuple=   dict(zip(lowerCAmelCase			,			range(len(lowerCAmelCase ) ) ) )
     SCREAMING_SNAKE_CASE__: Union[str, Any]=   ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

     SCREAMING_SNAKE_CASE__: List[Any]=   os.path.join(self.tmpdirname			,			VOCAB_FILES_NAMES['''vocab_file'''] )
     SCREAMING_SNAKE_CASE__: List[Any]=   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     UpperCamelCase_					(	self			,			lowerCAmelCase )							->       Any:
     SCREAMING_SNAKE_CASE__: Optional[Any]=   '''lower newer'''
     SCREAMING_SNAKE_CASE__: Any=   '''lower newer'''
     return input_text, output_text
    def     UpperCamelCase_					(	self )							->       Optional[int]:
     SCREAMING_SNAKE_CASE__: Optional[int]=   XLMTokenizer(self.vocab_file			,			self.merges_file )

     SCREAMING_SNAKE_CASE__: Tuple=   '''lower'''
     SCREAMING_SNAKE_CASE__: Optional[Any]=   ['''low''', '''er</w>''']
     SCREAMING_SNAKE_CASE__: Any=   tokenizer.tokenize(lowerCAmelCase )
     self.assertListEqual(lowerCAmelCase			,			lowerCAmelCase )

     SCREAMING_SNAKE_CASE__: int=   tokens + ['''<unk>''']
     SCREAMING_SNAKE_CASE__: str=   [14, 15, 20]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase )			,			lowerCAmelCase )



    @slow
    def     UpperCamelCase_					(	self )							->       Optional[int]:
     SCREAMING_SNAKE_CASE__: Optional[int]=   XLMTokenizer.from_pretrained('''xlm-mlm-en-2048''' )

     SCREAMING_SNAKE_CASE__: Tuple=   tokenizer.encode('''sequence builders'''			,			add_special_tokens=lowerCAmelCase )
     SCREAMING_SNAKE_CASE__: str=   tokenizer.encode('''multi-sequence build'''			,			add_special_tokens=lowerCAmelCase )

     SCREAMING_SNAKE_CASE__: Union[str, Any]=   tokenizer.build_inputs_with_special_tokens(lowerCAmelCase )
     SCREAMING_SNAKE_CASE__: str=   tokenizer.build_inputs_with_special_tokens(lowerCAmelCase			,			lowerCAmelCase )

     assert encoded_sentence == [0] + text + [1]
     assert encoded_pair == [0] + text + [1] + text_a + [1]








__A							:			Dict         =			"Alexander Joslin"

import operator as op

from .stack import Stack





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> int:




    """simple docstring"""




    _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(_SCREAMING_SNAKE_CASE				)				)
        elif i in operators:
            # RULE 2
            operator_stack.push(_SCREAMING_SNAKE_CASE				)
        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](_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
            operand_stack.push(_SCREAMING_SNAKE_CASE				)

    # RULE 5
    return operand_stack.peek()


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





