






"""simple docstring"""


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_layoutlm import LayoutLMTokenizer


lowercase_								=	logging.get_logger(__name__)

lowercase_								=	{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowercase_								=	{
    'vocab_file': {
        'microsoft/layoutlm-base-uncased': (
            'https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/vocab.txt'
        ),
        'microsoft/layoutlm-large-uncased': (
            'https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'microsoft/layoutlm-base-uncased': (
            'https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/tokenizer.json'
        ),
        'microsoft/layoutlm-large-uncased': (
            'https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/tokenizer.json'
        ),
    },
}

lowercase_								=	{
    'microsoft/layoutlm-base-uncased': 512,
    'microsoft/layoutlm-large-uncased': 512,
}

lowercase_								=	{
    'microsoft/layoutlm-base-uncased': {'do_lower_case': True},
    'microsoft/layoutlm-large-uncased': {'do_lower_case': True},
}


class    snake_case						(				_lowerCAmelCase		):


   '''simple docstring'''

   A_		:      Any							=					VOCAB_FILES_NAMES
   A_		:      Tuple							=					PRETRAINED_VOCAB_FILES_MAP
   A_		:      Optional[int]							=					PRETRAINED_INIT_CONFIGURATION
   A_		:      List[Any]							=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A_		:      Optional[int]							=					LayoutLMTokenizer


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

     '''simple docstring'''
     super().__init__(
         _lowerCamelCase,			tokenizer_file=_lowerCamelCase,			do_lower_case=_lowerCamelCase,			unk_token=_lowerCamelCase,			sep_token=_lowerCamelCase,			pad_token=_lowerCamelCase,			cls_token=_lowerCamelCase,			mask_token=_lowerCamelCase,			tokenize_chinese_chars=_lowerCamelCase,			strip_accents=_lowerCamelCase,			**_lowerCamelCase,			)

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

     __A		     =					do_lower_case


   def 							_SCREAMING_SNAKE_CASE							(      self					:	Tuple,			_lowerCamelCase					:	List[Any],			_lowerCamelCase					:	Dict=None    ):

     '''simple docstring'''
     __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 							_SCREAMING_SNAKE_CASE							(      self					:	Optional[Any],			_lowerCamelCase					:	List[int],			_lowerCamelCase					:	Optional[List[int]] = None    ):

     '''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					:	Optional[Any],			_lowerCamelCase					:	str,			_lowerCamelCase					:	Optional[str] = None    ):

     '''simple docstring'''
     __A		     =					self._tokenizer.model.save(_lowerCamelCase,			name=_lowerCamelCase    )
     return tuple(_lowerCamelCase    )









from __future__ import annotations

from typing import Generic, TypeVar

__snake_case		:str 						=	TypeVar('''T''')

class        _A			(      __UpperCAmelCase       ):
       pass


class        _A			(      __UpperCAmelCase       ):
       pass


class        _A			(      Generic[T]       ):



       def __init__(						self				:	List[Any]	,						__SCREAMING_SNAKE_CASE				:	int = 10):


           '''simple docstring'''

           __a					=							[]
           __a					=							limit



       def __bool__(						self				:	List[Any]):


           '''simple docstring'''

           return bool(self.stack)



       def __str__(						self				:	Any):


           '''simple docstring'''

           return str(self.stack)



       def 						_lowerCamelCase     (						self				:	List[Any]	,						__SCREAMING_SNAKE_CASE				:	T):


           '''simple docstring'''

           if len(self.stack) >= self.limit:
               raise StackOverflowError
           self.stack.append(__SCREAMING_SNAKE_CASE)



       def 						_lowerCamelCase     (						self				:	str):


           '''simple docstring'''

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



       def 						_lowerCamelCase     (						self				:	Optional[Any]):


           '''simple docstring'''

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



       def 						_lowerCamelCase     (						self				:	Union[str, Any]):


           '''simple docstring'''

           return not bool(self.stack)



       def 						_lowerCamelCase     (						self				:	Tuple):


           '''simple docstring'''

           return self.size() == self.limit



       def 						_lowerCamelCase     (						self				:	Union[str, Any]):


           '''simple docstring'''

           return len(self.stack)





       def __contains__(						self				:	int	,						__SCREAMING_SNAKE_CASE				:	T):


           '''simple docstring'''

           return item in self.stack





def 	__snake_case      (     ):
    __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()





