


"""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


__SCREAMING_SNAKE_CASE				:     Optional[int]		=     logging.get_logger(__name__)

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

__SCREAMING_SNAKE_CASE				:     Union[str, Any]		=     {
    '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'
        ),
    },
}

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

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





class   __A  (__A):





							'''simple docstring'''

							__lowercase:		Dict				   =     VOCAB_FILES_NAMES
							__lowercase:		Tuple				   =     PRETRAINED_VOCAB_FILES_MAP
							__lowercase:		List[str]				   =     PRETRAINED_INIT_CONFIGURATION
							__lowercase:		List[Any]				   =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowercase:		Optional[Any]				   =     LayoutLMTokenizer



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



														"""simple docstring"""



														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_		,							)

														snake_case_     							=		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
														):
																					snake_case_     							=		getattr(lowercase_		,							normalizer_state.pop("""type"""							)							)
																					snake_case_     							=		do_lower_case
																					snake_case_     							=		strip_accents
																					snake_case_     							=		tokenize_chinese_chars
																					snake_case_     							=		normalizer_class(**lowercase_							)

														snake_case_     							=		do_lower_case



							def 		lowerCAmelCase							(					self				:   Dict		,							UpperCAmelCase_				:   Any		,							UpperCAmelCase_				:   Optional[int]=None							)       ->Optional[int]:



														"""simple docstring"""



														snake_case_     							=		[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 		lowerCAmelCase							(					self				:   Dict		,							UpperCAmelCase_				:   List[int]		,							UpperCAmelCase_				:   Optional[List[int]] = None							)       ->List[int]:



														"""simple docstring"""



														snake_case_     							=		[self.sep_token_id]
														snake_case_     							=		[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 		lowerCAmelCase							(					self				:   Any		,							UpperCAmelCase_				:   str		,							UpperCAmelCase_				:   Optional[str] = None							)       ->Tuple[str]:



														"""simple docstring"""



														snake_case_     							=		self._tokenizer.model.save(lowercase_		,							name=lowercase_							)
														return tuple(lowercase_							)




from .number_theory.prime_numbers import next_prime



class     snake_case_			:






   def __init__( self							:	Tuple      ,		lowercase_							:	int      ,		lowercase_							:	int | None = None      ,		lowercase_							:	float | None = None      ,		)   ->		None:
       lowercase__					:  Optional[Any]          =							size_table
       lowercase__					:  Tuple          =							[None] * self.size_table
       lowercase__					:  List[str]          =							0.75 if lim_charge is None else lim_charge
       lowercase__					:  Optional[Any]          =							1 if charge_factor is None else charge_factor
       lowercase__					:  list          =							[]
       lowercase__					:  dict          =							{}






   def  __UpperCamelCase	( self							:	List[Any]    )   ->		Optional[Any]:
       return self._keys






   def  __UpperCamelCase	( self							:	Any    )   ->		List[Any]:
       return sum(1 for slot in self.values if slot is not None    ) / (
           self.size_table * self.charge_factor
       )






   def  __UpperCamelCase	( self							:	int      ,		lowercase_							:	Union[str, Any]    )   ->		Dict:
       return key % self.size_table






   def  __UpperCamelCase	( self							:	Union[str, Any]      ,		lowercase_							:	Any    )   ->		List[str]:
       print(F'''step {step_ord}'''    )
       print(list(range(len(self.values    )    )    )    )
       print(self.values    )






   def  __UpperCamelCase	( self							:	Tuple      ,		lowercase_							:	List[Any]    )   ->		Union[str, Any]:
       lowercase__					:  Any          =							1
       lowercase__					:  Dict          =							values
       for value in values:
           self.insert_data(lowercase_    )
           self._step_by_step(lowercase_    )
           i += 1






   def  __UpperCamelCase	( self							:	Tuple      ,		lowercase_							:	Dict      ,		lowercase_							:	Optional[Any]    )   ->		Any:
       lowercase__					:  str          =							data
       lowercase__					:  List[str]          =							data






   def  __UpperCamelCase	( self							:	int      ,		lowercase_							:	Any      ,		lowercase_							:	int=None    )   ->		int:
       lowercase__					:  Dict          =							self.hash_function(key + 1    )

       while self.values[new_key] is not None and self.values[new_key] != key:
           if self.values.count(lowercase_    ) > 0:
               lowercase__					:  List[Any]          =							self.hash_function(new_key + 1    )
           else:
               lowercase__					:  List[str]          =							None
               break

       return new_key






   def  __UpperCamelCase	( self							:	Union[str, Any]    )   ->		Optional[int]:
       lowercase__					:  Tuple          =							[value for value in self.values if value is not None]
       lowercase__					:  Any          =							next_prime(self.size_table      ,		factor=2    )
       self._keys.clear()
       lowercase__					:  Tuple          =							[None] * self.size_table  # hell's pointers D: don't DRY ;/
       for value in survivor_values:
           self.insert_data(lowercase_    )







   def  __UpperCamelCase	( self							:	Dict      ,		lowercase_							:	Optional[int]    )   ->		int:
       lowercase__					:  List[str]          =							self.hash_function(lowercase_    )

       if self.values[key] is None:
           self._set_value(lowercase_      ,		lowercase_    )

       elif self.values[key] == data:
           pass

       else:
           lowercase__					:  List[Any]          =							self._collision_resolution(lowercase_      ,		lowercase_    )
           if collision_resolution is not None:
               self._set_value(lowercase_      ,		lowercase_    )
           else:
               self.rehashing()
               self.insert_data(lowercase_    )



