





'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer


__lowerCAmelCase				:      Union[str, Any]						      ={"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

__lowerCAmelCase				:      Any						      ={
    "vocab_file": {
        "google/electra-small-generator": (
            "https://huggingface.co/google/electra-small-generator/resolve/main/vocab.txt"
        ),
        "google/electra-base-generator": "https://huggingface.co/google/electra-base-generator/resolve/main/vocab.txt",
        "google/electra-large-generator": (
            "https://huggingface.co/google/electra-large-generator/resolve/main/vocab.txt"
        ),
        "google/electra-small-discriminator": (
            "https://huggingface.co/google/electra-small-discriminator/resolve/main/vocab.txt"
        ),
        "google/electra-base-discriminator": (
            "https://huggingface.co/google/electra-base-discriminator/resolve/main/vocab.txt"
        ),
        "google/electra-large-discriminator": (
            "https://huggingface.co/google/electra-large-discriminator/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "google/electra-small-generator": (
            "https://huggingface.co/google/electra-small-generator/resolve/main/tokenizer.json"
        ),
        "google/electra-base-generator": (
            "https://huggingface.co/google/electra-base-generator/resolve/main/tokenizer.json"
        ),
        "google/electra-large-generator": (
            "https://huggingface.co/google/electra-large-generator/resolve/main/tokenizer.json"
        ),
        "google/electra-small-discriminator": (
            "https://huggingface.co/google/electra-small-discriminator/resolve/main/tokenizer.json"
        ),
        "google/electra-base-discriminator": (
            "https://huggingface.co/google/electra-base-discriminator/resolve/main/tokenizer.json"
        ),
        "google/electra-large-discriminator": (
            "https://huggingface.co/google/electra-large-discriminator/resolve/main/tokenizer.json"
        ),
    },
}

__lowerCAmelCase				:      Optional[Any]						      ={
    "google/electra-small-generator": 512,
    "google/electra-base-generator": 512,
    "google/electra-large-generator": 512,
    "google/electra-small-discriminator": 512,
    "google/electra-base-discriminator": 512,
    "google/electra-large-discriminator": 512,
}

__lowerCAmelCase				:      Any						      ={
    "google/electra-small-generator": {"do_lower_case": True},
    "google/electra-base-generator": {"do_lower_case": True},
    "google/electra-large-generator": {"do_lower_case": True},
    "google/electra-small-discriminator": {"do_lower_case": True},
    "google/electra-base-discriminator": {"do_lower_case": True},
    "google/electra-large-discriminator": {"do_lower_case": True},
}






class   UpperCAmelCase      (			UpperCamelCase__							):
 __lowercase  						=							VOCAB_FILES_NAMES
 __lowercase  						=							PRETRAINED_VOCAB_FILES_MAP
 __lowercase  						=							PRETRAINED_INIT_CONFIGURATION
 __lowercase  						=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase  						=							ElectraTokenizer
 def __init__(							self :Tuple		,			lowercase_ :List[Any]=None		,			lowercase_ :Dict=None		,			lowercase_ :Tuple=True		,			lowercase_ :Optional[Any]="[UNK]"		,			lowercase_ :List[str]="[SEP]"		,			lowercase_ :Union[str, Any]="[PAD]"		,			lowercase_ :Any="[CLS]"		,			lowercase_ :Any="[MASK]"		,			lowercase_ :List[Any]=True		,			lowercase_ :int=None		,			**lowercase_ :Any		,			)->				str:
     super().__init__(
         lowercase_		,			tokenizer_file=lowercase_		,			do_lower_case=lowercase_		,			unk_token=lowercase_		,			sep_token=lowercase_		,			pad_token=lowercase_		,			cls_token=lowercase_		,			mask_token=lowercase_		,			tokenize_chinese_chars=lowercase_		,			strip_accents=lowercase_		,			**lowercase_		,			)

     A__							=     json.loads(self.backend_tokenizer.normalizer.__getstate__()				)
     if (
         normalizer_state.get("lowercase"		,			lowercase_				) != do_lower_case
         or normalizer_state.get("strip_accents"		,			lowercase_				) != strip_accents
         or normalizer_state.get("handle_chinese_chars"		,			lowercase_				) != tokenize_chinese_chars
     ):
         A__							=     getattr(lowercase_		,			normalizer_state.pop("type"				)				)
         A__							=     do_lower_case
         A__							=     strip_accents
         A__							=     tokenize_chinese_chars
         A__							=     normalizer_class(**lowercase_				)

     A__							=     do_lower_case
 def 	UpperCAmelCase_				(							self :List[Any]		,			lowercase_ :Tuple		,			lowercase_ :Any=None				)->				List[Any]:
     A__							=     [self.cls_token_id] + token_ids_a + [self.sep_token_id]

     if token_ids_a:
         output += token_ids_a + [self.sep_token_id]

     return output
 def 	UpperCAmelCase_				(							self :Dict		,			lowercase_ :List[int]		,			lowercase_ :Optional[List[int]] = None				)->				List[int]:
     A__							=     [self.sep_token_id]
     A__							=     [self.cls_token_id]
     if token_ids_a is None:
         return len(cls + token_ids_a + sep				) * [0]
     return len(cls + token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]



 def 	UpperCAmelCase_				(							self :List[Any]		,			lowercase_ :str		,			lowercase_ :Optional[str] = None				)->				Tuple[str]:
     A__							=     self._tokenizer.model.save(lowercase_		,			name=lowercase_				)
     return tuple(lowercase_				)










'''simple docstring'''

__lowerCAmelCase				:      List[str]						      ="Alexander Joslin"

import operator as op

from .stack import Stack





def 		UpperCamelCase							(				_lowerCamelCase   :   str			):
    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(_lowerCamelCase			)			)
        elif i in operators:
            # RULE 2
            operator_stack.push(_lowerCamelCase			)
        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](_lowerCamelCase		,			_lowerCamelCase			)
            operand_stack.push(_lowerCamelCase			)

    # RULE 5
    return operand_stack.peek()


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



