




"""simple docstring"""






import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__						=			logging.get_logger(__name__)

UpperCamelCase__						=			{'''vocab_file''': '''vocab.json'''}

UpperCamelCase__						=			{
    '''vocab_file''': {
        '''mgp-str''': '''https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json''',
    }
}

UpperCamelCase__						=			{'''mgp-str''': 27}




class   a__			(       UpperCamelCase_  ):
						snake_case__             = VOCAB_FILES_NAMES
						snake_case__             = PRETRAINED_VOCAB_FILES_MAP
						snake_case__             = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





						def __init__(							self      :	int     ,a__      :	Dict     ,a__      :	int="[GO]"     ,a__      :	List[str]="[GO]"     ,a__      :	Union[str, Any]="[s]"     ,a__      :	str="[GO]"     ,**a__      :	Union[str, Any])						->       Any:




											"""simple docstring"""







											super().__init__(
											    unk_token=a__     ,bos_token=a__     ,eos_token=a__     ,pad_token=a__     ,**a__     ,)

											with open(a__     ,encoding='''utf-8''') as vocab_handle:
																_lowerCAmelCase:Dict									=  json.load(a__)
											_lowerCAmelCase:List[Any]									=  {v: k for k, v in self.vocab.items()}





						@property
						def       __UpperCamelCase     (							self      :	int)						->       List[Any]:




											"""simple docstring"""







											return len(self.vocab)





						def       __UpperCamelCase     (							self      :	Dict)						->       Dict:




											"""simple docstring"""







											return dict(self.vocab     ,**self.added_tokens_encoder)





						def       __UpperCamelCase     (							self      :	Union[str, Any]     ,a__      :	Optional[Any])						->       int:




											"""simple docstring"""







											_lowerCAmelCase:str									=  []
											for s in text:
																char_tokens.extend(a__)
											return char_tokens





						def       __UpperCamelCase     (							self      :	str     ,a__      :	int)						->       Optional[int]:




											"""simple docstring"""







											return self.vocab.get(a__     ,self.vocab.get(self.unk_token))





						def       __UpperCamelCase     (							self      :	Union[str, Any]     ,a__      :	List[str])						->       List[Any]:




											"""simple docstring"""







											return self.decoder.get(a__)







						def       __UpperCamelCase     (							self      :	Tuple     ,a__      :	str     ,a__      :	Optional[str] = None)						->       Tuple[str]:




											"""simple docstring"""







											if not os.path.isdir(a__):
																logger.error('''Vocabulary path ({}) should be a directory'''.format(a__))
																return
											_lowerCAmelCase:Union[str, Any]									=  os.path.join(
											    a__     ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])

											with open(a__     ,'''w'''     ,encoding='''utf-8''') as f:
																f.write(json.dumps(self.vocab     ,indent=2     ,sort_keys=a__     ,ensure_ascii=a__) + '''\n''')

											return (vocab_file,)












"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__						=			logging.get_logger(__name__)

UpperCamelCase__						=			{
    '''weiweishi/roc-bert-base-zh''': '''https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json''',
}




class   a__			(       UpperCamelCase_  ):
						snake_case__             = '''roc_bert'''





						def __init__(							self      :	Union[str, Any]     ,a__      :	Union[str, Any]=3_0522     ,a__      :	List[Any]=768     ,a__      :	Tuple=12     ,a__      :	Optional[int]=12     ,a__      :	Any=3072     ,a__      :	Optional[int]="gelu"     ,a__      :	Union[str, Any]=0.1     ,a__      :	List[str]=0.1     ,a__      :	Dict=512     ,a__      :	int=2     ,a__      :	Dict=0.02     ,a__      :	Dict=1E-12     ,a__      :	int=True     ,a__      :	Optional[int]=0     ,a__      :	Union[str, Any]="absolute"     ,a__      :	List[Any]=None     ,a__      :	str=True     ,a__      :	str=True     ,a__      :	List[str]=768     ,a__      :	Optional[int]=910     ,a__      :	Any=512     ,a__      :	str=2_4858     ,a__      :	List[str]=True     ,**a__      :	str     ,)						->       List[str]:




											"""simple docstring"""







											_lowerCAmelCase:Tuple									=  vocab_size
											_lowerCAmelCase:Any									=  max_position_embeddings
											_lowerCAmelCase:Union[str, Any]									=  hidden_size
											_lowerCAmelCase:Optional[Any]									=  num_hidden_layers
											_lowerCAmelCase:int									=  num_attention_heads
											_lowerCAmelCase:int									=  intermediate_size
											_lowerCAmelCase:Union[str, Any]									=  hidden_act
											_lowerCAmelCase:Any									=  hidden_dropout_prob
											_lowerCAmelCase:List[Any]									=  attention_probs_dropout_prob
											_lowerCAmelCase:List[Any]									=  initializer_range
											_lowerCAmelCase:Dict									=  type_vocab_size
											_lowerCAmelCase:Dict									=  layer_norm_eps
											_lowerCAmelCase:str									=  use_cache
											_lowerCAmelCase:Any									=  enable_pronunciation
											_lowerCAmelCase:List[str]									=  enable_shape
											_lowerCAmelCase:Optional[int]									=  pronunciation_embed_dim
											_lowerCAmelCase:Union[str, Any]									=  pronunciation_vocab_size
											_lowerCAmelCase:str									=  shape_embed_dim
											_lowerCAmelCase:List[Any]									=  shape_vocab_size
											_lowerCAmelCase:str									=  concat_input
											_lowerCAmelCase:Optional[int]									=  position_embedding_type
											_lowerCAmelCase:Any									=  classifier_dropout
											super().__init__(pad_token_id=a__     ,**a__)






