





'''simple docstring'''


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

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


if is_sentencepiece_available():
       from .tokenization_deberta_va import DebertaVaTokenizer
else:
       _SCREAMING_SNAKE_CASE			=							None

_SCREAMING_SNAKE_CASE			=							logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE			=							{"vocab_file": "spm.model", "tokenizer_file": "tokenizer.json"}

_SCREAMING_SNAKE_CASE			=							{
    "vocab_file": {
        "microsoft/deberta-v2-xlarge": "https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model",
        "microsoft/deberta-v2-xxlarge": "https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model",
        "microsoft/deberta-v2-xlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model"
        ),
        "microsoft/deberta-v2-xxlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model"
        ),
    }
}

_SCREAMING_SNAKE_CASE			=							{
    "microsoft/deberta-v2-xlarge": 5_12,
    "microsoft/deberta-v2-xxlarge": 5_12,
    "microsoft/deberta-v2-xlarge-mnli": 5_12,
    "microsoft/deberta-v2-xxlarge-mnli": 5_12,
}

_SCREAMING_SNAKE_CASE			=							{
    "microsoft/deberta-v2-xlarge": {"do_lower_case": False},
    "microsoft/deberta-v2-xxlarge": {"do_lower_case": False},
    "microsoft/deberta-v2-xlarge-mnli": {"do_lower_case": False},
    "microsoft/deberta-v2-xxlarge-mnli": {"do_lower_case": False},
}

class 				lowerCAmelCase_						(						__magic_name__						):
 __lowerCamelCase  :							Optional[Any]    					=   VOCAB_FILES_NAMES
 __lowerCamelCase  :							Dict    					=   PRETRAINED_VOCAB_FILES_MAP
 __lowerCamelCase  :							Optional[Any]    					=   PRETRAINED_INIT_CONFIGURATION
 __lowerCamelCase  :							Tuple    					=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCamelCase  :							Optional[Any]    					=   DebertaVaTokenizer




 def __init__(		self     ,       _lowerCAmelCase=None     ,       _lowerCAmelCase=None     ,       _lowerCAmelCase=False     ,       _lowerCAmelCase=False     ,       _lowerCAmelCase="[CLS]"     ,       _lowerCAmelCase="[SEP]"     ,       _lowerCAmelCase="[UNK]"     ,       _lowerCAmelCase="[SEP]"     ,       _lowerCAmelCase="[PAD]"     ,       _lowerCAmelCase="[CLS]"     ,       _lowerCAmelCase="[MASK]"     ,       **_lowerCAmelCase     ,       )      ->							None:
     super().__init__(
         _lowerCAmelCase     ,       tokenizer_file=_lowerCAmelCase     ,       do_lower_case=_lowerCAmelCase     ,       bos_token=_lowerCAmelCase     ,       eos_token=_lowerCAmelCase     ,       unk_token=_lowerCAmelCase     ,       sep_token=_lowerCAmelCase     ,       pad_token=_lowerCAmelCase     ,       cls_token=_lowerCAmelCase     ,       mask_token=_lowerCAmelCase     ,       split_by_punct=_lowerCAmelCase     ,       **_lowerCAmelCase     ,       )

     _lowerCAmelCase		     = do_lower_case
     _lowerCAmelCase		     = split_by_punct
     _lowerCAmelCase		     = vocab_file
     _lowerCAmelCase		     = False if not self.vocab_file else True




 def 							_snake_case				(		self     ,       _lowerCAmelCase     ,       _lowerCAmelCase=None						)      ->							Tuple:

     if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     _lowerCAmelCase		     = [self.cls_token_id]
     _lowerCAmelCase		     = [self.sep_token_id]
     return cls + token_ids_a + sep + token_ids_a + sep




 def 							_snake_case				(		self     ,       _lowerCAmelCase     ,       _lowerCAmelCase=None     ,       _lowerCAmelCase=False						)      ->							str:

     if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=_lowerCAmelCase     ,       token_ids_a=_lowerCAmelCase     ,       already_has_special_tokens=_lowerCAmelCase						)

     if token_ids_a is not None:
         return [1] + ([0] * len(_lowerCAmelCase						)) + [1] + ([0] * len(_lowerCAmelCase						)) + [1]
     return [1] + ([0] * len(_lowerCAmelCase						)) + [1]




 def 							_snake_case				(		self     ,       _lowerCAmelCase     ,       _lowerCAmelCase=None						)      ->							Any:
     _lowerCAmelCase		     = [self.sep_token_id]
     _lowerCAmelCase		     = [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 							_snake_case				(		self     ,       _lowerCAmelCase     ,       _lowerCAmelCase = None						)      ->							Tuple[str]:
     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
     _lowerCAmelCase		     = 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,)









'''simple docstring'''


from __future__ import annotations

from collections.abc import Iterable, Iterator
from typing import Any, Generic, TypeVar

_SCREAMING_SNAKE_CASE			=							TypeVar("T", bound=bool)

class 				lowerCAmelCase_						(						Generic[T]						):




 def __init__(		self     ,       _lowerCAmelCase						)      ->							None:
     _lowerCAmelCase		     = value
     _lowerCAmelCase		     = None
     _lowerCAmelCase		     = None




 @property
 def 							_snake_case				(		self						)      ->							T:
     return self._value





 @staticmethod
 def 							_snake_case				(		_lowerCAmelCase     ,       _lowerCAmelCase						)      ->							SkewNode[T] | None:
     if not roota:
         return roota

     if not roota:
         return roota

     if roota.value > roota.value:
         _lowerCAmelCase     ,     _lowerCAmelCase		     = roota, roota

     _lowerCAmelCase		     = roota
     _lowerCAmelCase		     = roota.right
     _lowerCAmelCase		     = roota.left
     _lowerCAmelCase		     = SkewNode.merge(_lowerCAmelCase     ,       _lowerCAmelCase						)

     return result







class 				lowerCAmelCase_						(						Generic[T]						):




 def __init__(		self     ,       _lowerCAmelCase = ()						)      ->							None:
     _lowerCAmelCase		     = None
     if data:
         for item in data:
             self.insert(_lowerCAmelCase						)




 def __bool__(		self						)      ->							bool:
     return self._root is not None




 def __iter__(		self						)      ->							Iterator[T]:
     _lowerCAmelCase		     = []
     while self:
         result.append(self.pop()						)

     # Pushing items back to the heap not to clear it.
     for item in result:
         self.insert(_lowerCAmelCase						)

     return iter(_lowerCAmelCase						)




 def 							_snake_case				(		self     ,       _lowerCAmelCase						)      ->							None:
     _lowerCAmelCase		     = SkewNode.merge(self._root     ,       SkewNode(_lowerCAmelCase						)						)




 def 							_snake_case				(		self						)      ->							T | None:
     _lowerCAmelCase		     = self.top()
     _lowerCAmelCase		     = (
         SkewNode.merge(self._root.left     ,       self._root.right						) if self._root else None
     )

     return result




 def 							_snake_case				(		self						)      ->							T:
     if not self._root:
         raise IndexError("Can't get top element for the empty heap."						)
     return self._root.value





 def 							_snake_case				(		self						)      ->							None:
     _lowerCAmelCase		     = None


if __name__ == "__main__":
       import doctest

       doctest.testmod()


