'''simple docstring'''
import logging

from transformers.configuration_utils import PretrainedConfig


a=  logging.getLogger(__name__)






class 			__lowercase		(						_lowerCamelCase						):







     """simple docstring"""






     SCREAMING_SNAKE_CASE__		   =						'''masked_bert'''







     def __init__(		self     ,			_lowerCamelCase=3_0_5_2_2     ,			_lowerCamelCase=7_6_8     ,			_lowerCamelCase=1_2     ,			_lowerCamelCase=1_2     ,			_lowerCamelCase=3_0_7_2     ,			_lowerCamelCase="gelu"     ,			_lowerCamelCase=0.1     ,			_lowerCamelCase=0.1     ,			_lowerCamelCase=5_1_2     ,			_lowerCamelCase=2     ,			_lowerCamelCase=0.0_2     ,			_lowerCamelCase=1E-1_2     ,			_lowerCamelCase=0     ,			_lowerCamelCase="topK"     ,			_lowerCamelCase="constant"     ,			_lowerCamelCase=0.0     ,			**_lowerCamelCase     ,			):
         super().__init__(pad_token_id=_lowerCamelCase     ,			**_lowerCamelCase    )

         __UpperCamelCase	:	Tuple		    =  vocab_size
         __UpperCamelCase	:	Union[str, Any]		    =  hidden_size
         __UpperCamelCase	:	Dict		    =  num_hidden_layers
         __UpperCamelCase	:	Union[str, Any]		    =  num_attention_heads
         __UpperCamelCase	:	List[Any]		    =  hidden_act
         __UpperCamelCase	:	Any		    =  intermediate_size
         __UpperCamelCase	:	str		    =  hidden_dropout_prob
         __UpperCamelCase	:	int		    =  attention_probs_dropout_prob
         __UpperCamelCase	:	List[Any]		    =  max_position_embeddings
         __UpperCamelCase	:	str		    =  type_vocab_size
         __UpperCamelCase	:	Optional[Any]		    =  initializer_range
         __UpperCamelCase	:	Optional[Any]		    =  layer_norm_eps
         __UpperCamelCase	:	Union[str, Any]		    =  pruning_method
         __UpperCamelCase	:	int		    =  mask_init
         __UpperCamelCase	:	int		    =  mask_scale




'''simple docstring'''
import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 			__lowercase		(						_lowerCamelCase			,							unittest.TestCase						):







     """simple docstring"""






     SCREAMING_SNAKE_CASE__		   =						LayoutLMTokenizer
     SCREAMING_SNAKE_CASE__		   =						LayoutLMTokenizerFast
     SCREAMING_SNAKE_CASE__		   =						True
     SCREAMING_SNAKE_CASE__		   =						True







     def lowerCAmelCase     (		self    ):
         super().setUp()

         __UpperCamelCase	:	List[str]		    =  [
             '[UNK]',
             '[CLS]',
             '[SEP]',
             'want',
             '##want',
             '##ed',
             'wa',
             'un',
             'runn',
             '##ing',
             ',',
             'low',
             'lowest',
         ]
         __UpperCamelCase	:	Union[str, Any]		    =  os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES['vocab_file']    )
         with open(self.vocab_file     ,			'w'     ,			encoding='utf-8'    ) as vocab_writer:
             vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]    )    )







     def lowerCAmelCase     (		self     ,			**_lowerCamelCase    ):
         return LayoutLMTokenizer.from_pretrained(self.tmpdirname     ,			**_lowerCamelCase    )







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
         __UpperCamelCase	:	Dict		    =  'UNwant\u00E9d,running'
         __UpperCamelCase	:	Union[str, Any]		    =  'unwanted, running'
         return input_text, output_text







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Dict		    =  self.tokenizer_class(self.vocab_file    )

         __UpperCamelCase	:	Optional[Any]		    =  tokenizer.tokenize('UNwant\u00E9d,running'    )
         self.assertListEqual(_lowerCamelCase     ,			['un', '##want', '##ed', ',', 'runn', '##ing']    )
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase    )     ,			[7, 4, 5, 1_0, 8, 9]    )







     def lowerCAmelCase     (		self    ):
         pass



