




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_    :       Union[str, Any]       =							None

SCREAMING_SNAKE_CASE_    :       str       =							logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_    :       Optional[int]       =							{'''vocab_file''': '''spm.model''', '''tokenizer_file''': '''tokenizer.json'''}

SCREAMING_SNAKE_CASE_    :       Any       =							{
    '''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_    :       Dict       =							{
    '''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_    :       Optional[int]       =							{
    '''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 		__UpperCAmelCase(		lowercase__			):





     """simple docstring"""



     __UpperCAmelCase						:			Dict							=     VOCAB_FILES_NAMES
     __UpperCAmelCase						:			List[Any]							=     PRETRAINED_VOCAB_FILES_MAP
     __UpperCAmelCase						:			List[Any]							=     PRETRAINED_INIT_CONFIGURATION
     __UpperCAmelCase						:			Optional[Any]							=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __UpperCAmelCase						:			Optional[int]							=     DebertaVaTokenizer

     def __init__(   self			:							Optional[Any]    ,					A			:							Any=None    ,					A			:							int=None    ,					A			:							Optional[int]=False    ,					A			:							Tuple=False    ,					A			:							List[str]="[CLS]"    ,					A			:							Tuple="[SEP]"    ,					A			:							List[str]="[UNK]"    ,					A			:							Optional[int]="[SEP]"    ,					A			:							Tuple="[PAD]"    ,					A			:							Optional[int]="[CLS]"    ,					A			:							List[Any]="[MASK]"    ,					**A			:							Tuple    ,					)      ->      None:






         """simple docstring"""
         super().__init__(
             A    ,					tokenizer_file=A    ,					do_lower_case=A    ,					bos_token=A    ,					eos_token=A    ,					unk_token=A    ,					sep_token=A    ,					pad_token=A    ,					cls_token=A    ,					mask_token=A    ,					split_by_punct=A    ,					**A    ,					)

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

     def 					__SCREAMING_SNAKE_CASE		(   self			:							List[Any]    ,					A			:							Union[str, Any]    ,					A			:							List[str]=None     )      ->      int:






         """simple docstring"""

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

     def 					__SCREAMING_SNAKE_CASE		(   self			:							Optional[int]    ,					A			:							Dict    ,					A			:							Optional[Any]=None    ,					A			:							Optional[Any]=False     )      ->      Dict:






         """simple docstring"""

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

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

     def 					__SCREAMING_SNAKE_CASE		(   self			:							List[Any]    ,					A			:							List[Any]    ,					A			:							Any=None     )      ->      List[str]:






         """simple docstring"""
         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 					__SCREAMING_SNAKE_CASE		(   self			:							int    ,					A			:							str    ,					A			:							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(A     ):
             logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
             return
         a__  			=							os.path.join(
             A    ,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )

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

         return (out_vocab_file,)












from __future__ import annotations

from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE_    :       List[str]       =							TypeVar('''T''')







class 		__UpperCAmelCase(		lowercase__			):





     """simple docstring"""



     pass







class 		__UpperCAmelCase(		lowercase__			):





     """simple docstring"""



     pass







class 		__UpperCAmelCase(		Generic[T]			):





     """simple docstring"""



     def __init__(   self			:							str    ,					A			:							int = 10     )      ->      str:






         """simple docstring"""
         a__  			=							[]
         a__  			=							limit

     def __bool__(   self			:							Dict     )      ->      bool:






         """simple docstring"""
         return bool(self.stack     )

     def __str__(   self			:							str     )      ->      str:






         """simple docstring"""
         return str(self.stack     )

     def 					__SCREAMING_SNAKE_CASE		(   self			:							List[str]    ,					A			:							T     )      ->      None:






         """simple docstring"""
         if len(self.stack     ) >= self.limit:
             raise StackOverflowError
         self.stack.append(A     )

     def 					__SCREAMING_SNAKE_CASE		(   self			:							Any     )      ->      T:






         """simple docstring"""
         if not self.stack:
             raise StackUnderflowError
         return self.stack.pop()

     def 					__SCREAMING_SNAKE_CASE		(   self			:							Optional[int]     )      ->      T:






         """simple docstring"""
         if not self.stack:
             raise StackUnderflowError
         return self.stack[-1]

     def 					__SCREAMING_SNAKE_CASE		(   self			:							str     )      ->      bool:






         """simple docstring"""
         return not bool(self.stack     )

     def 					__SCREAMING_SNAKE_CASE		(   self			:							Dict     )      ->      bool:






         """simple docstring"""
         return self.size() == self.limit

     def 					__SCREAMING_SNAKE_CASE		(   self			:							int     )      ->      int:






         """simple docstring"""
         return len(self.stack     )






     def __contains__(   self			:							int    ,					A			:							T     )      ->      bool:






         """simple docstring"""
         return item in self.stack






def 							__lowerCAmelCase			():
    a__  			=							Stack(10		)
    assert bool(UpperCAmelCase_		) is False
    assert stack.is_empty() is True
    assert stack.is_full() is False
    assert str(UpperCAmelCase_		) == "[]"

    try:
        a__  			=							stack.pop()
        raise AssertionError  # This should not happen
    except StackUnderflowError:
        assert True  # This should happen

    try:
        a__  			=							stack.peek()
        raise AssertionError  # This should not happen
    except StackUnderflowError:
        assert True  # This should happen

    for i in range(10		):
        assert stack.size() == i
        stack.push(UpperCAmelCase_		)

    assert bool(UpperCAmelCase_		)
    assert not stack.is_empty()
    assert stack.is_full()
    assert str(UpperCAmelCase_		) == str(list(range(10		)		)		)
    assert stack.pop() == 9
    assert stack.peek() == 8

    stack.push(100		)
    assert str(UpperCAmelCase_		) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 100]		)

    try:
        stack.push(200		)
        raise AssertionError  # This should not happen
    except StackOverflowError:
        assert True  # This should happen

    assert not stack.is_empty()
    assert stack.size() == 10

    assert 5 in stack
    assert 55 not in stack


if __name__ == "__main__":
 test_stack()






