




'''simple docstring'''


from .balanced_parentheses import balanced_parentheses
from .stack import Stack
def 		snake_case_    (UpperCamelCase       :  str      ):





							'''simple docstring'''


							return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(UpperCamelCase ,						-1      )
def 		snake_case_    (UpperCamelCase       :  str      ):





							'''simple docstring'''


							if not balanced_parentheses(UpperCamelCase      ):
														raise ValueError('''Mismatched parentheses'''      )
							_a	     =				Stack()
							_a	     =				[]
							for char in expression_str:
														if char.isalpha() or char.isdigit():
																					postfix.append(UpperCamelCase      )
														elif char == "(":
																					stack.push(UpperCamelCase      )
														elif char == ")":
																					while not stack.is_empty() and stack.peek() != "(":
																												postfix.append(stack.pop()      )
																					stack.pop()
														else:
																					while not stack.is_empty() and precedence(UpperCamelCase      ) <= precedence(stack.peek()      ):
																												postfix.append(stack.pop()      )
																					stack.push(UpperCamelCase      )
							while not stack.is_empty():
														postfix.append(stack.pop()      )
							return " ".join(UpperCamelCase      )


if __name__ == "__main__":
				from doctest import testmod

				testmod()
				_snake_case      :      int   							=		'a+b*(c^d-e)^(f+g*h)-i'

				print('Infix to Postfix Notation demonstration:\n')
				print('Infix notation: ' + expression)
				print('Postfix notation: ' + infix_to_postfix(expression))







'''simple docstring'''


import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
				from .tokenization_reformer import ReformerTokenizer
else:
				_snake_case      :      int   							=		None


_snake_case      :      Union[str, Any]   							=		logging.get_logger(__name__)


_snake_case      :      Union[str, Any]   							=		'▁'

_snake_case      :      Any   							=		{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

_snake_case      :      List[str]   							=		{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

_snake_case      :      Union[str, Any]   							=		{
    'google/reformer-crime-and-punishment': 524288,
}

class 			A    (		_a    ):
							lowercase_							=				VOCAB_FILES_NAMES
							lowercase_							=				PRETRAINED_VOCAB_FILES_MAP
							lowercase_							=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_							=				['input_ids', 'attention_mask']
							lowercase_							=				ReformerTokenizer







							def __init__(  self       :  Any							,			lowerCAmelCase_       :  int=None							,			lowerCAmelCase_       :  Optional[Any]=None							,			lowerCAmelCase_       :  List[str]="</s>"							,			lowerCAmelCase_       :  Any="<unk>"							,			lowerCAmelCase_       :  List[str]=[]							,			**lowerCAmelCase_       :  List[Any]							,			)			->							Dict:


														"""simple docstring"""


														super().__init__(
														    lowerCAmelCase_							,			tokenizer_file=lowerCAmelCase_							,			eos_token=lowerCAmelCase_							,			unk_token=lowerCAmelCase_							,			additional_special_tokens=lowerCAmelCase_							,			**lowerCAmelCase_							,			)

														_a	     =				vocab_file
														_a	     =				False if not self.vocab_file else True







							def    __lowerCAmelCase			(  self       :  List[Any]							,			lowerCAmelCase_       :  str							,			lowerCAmelCase_       :  Optional[str] = None					)			->							Tuple[str]:


														"""simple docstring"""


														if not self.can_save_slow_tokenizer:
																					raise ValueError(
																					    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
																					    '''tokenizer.'''					)

														if not os.path.isdir(lowerCAmelCase_					):
																					logger.error(F'Vocabulary path ({save_directory}) should be a directory'					)
																					return
														_a	     =				os.path.join(
														    lowerCAmelCase_							,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)

														if os.path.abspath(self.vocab_file					) != os.path.abspath(lowerCAmelCase_					):
																					copyfile(self.vocab_file							,			lowerCAmelCase_					)

														return (out_vocab_file,)

