


'''simple docstring'''
from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest
@require_tokenizers
class        lowercase     (							A__ ):

		"""simple docstring"""

		_a   			=    DistilBertTokenizer
		_a   			=    DistilBertTokenizerFast
		_a   			=    True




		@slow
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :str							 =			DistilBertTokenizer.from_pretrained('''distilbert-base-uncased'''							)

							UpperCamelCase__       :Optional[int]							 =			tokenizer.encode('''sequence builders'''   ,       add_special_tokens=UpperCamelCase_							)
							UpperCamelCase__       :Any							 =			tokenizer.encode('''multi-sequence build'''   ,       add_special_tokens=UpperCamelCase_							)

							UpperCamelCase__       :Union[str, Any]							 =			tokenizer.build_inputs_with_special_tokens(UpperCamelCase_							)
							UpperCamelCase__       :Optional[int]							 =			tokenizer.build_inputs_with_special_tokens(UpperCamelCase_   ,       UpperCamelCase_							)

							assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
							assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
							    tokenizer.sep_token_id
							]



'''simple docstring'''
import logging

from transformers.configuration_utils import PretrainedConfig


__snake_case											=					logging.getLogger(__name__)
class        lowercase     (							A__ ):

		"""simple docstring"""

		_a   			=    'masked_bert'




		def __init__(		self   ,       UpperCamelCase_=30522   ,       UpperCamelCase_=768   ,       UpperCamelCase_=12   ,       UpperCamelCase_=12   ,       UpperCamelCase_=3072   ,       UpperCamelCase_="gelu"   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_=512   ,       UpperCamelCase_=2   ,       UpperCamelCase_=0.02   ,       UpperCamelCase_=1e-12   ,       UpperCamelCase_=0   ,       UpperCamelCase_="topK"   ,       UpperCamelCase_="constant"   ,       UpperCamelCase_=0.0   ,       **UpperCamelCase_   ,       ):

							'''simple docstring'''


							super().__init__(pad_token_id=UpperCamelCase_   ,       **UpperCamelCase_							)

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