



"""simple docstring"""




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


_UpperCamelCase:					Any     				=	logging.get_logger(__name__)

_UpperCamelCase:					List[Any]     				=	{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_UpperCamelCase:					int     				=	{
    'vocab_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
    },
}

_UpperCamelCase:					Optional[int]     				=	{
    'microsoft/mpnet-base': 5_1_2,
}

_UpperCamelCase:					Dict     				=	{
    'microsoft/mpnet-base': {'do_lower_case': True},
}


class 	a__		(    SCREAMING_SNAKE_CASE__  ):
   _lowerCamelCase       				=					VOCAB_FILES_NAMES
   _lowerCamelCase       				=					PRETRAINED_VOCAB_FILES_MAP
   _lowerCamelCase       				=					PRETRAINED_INIT_CONFIGURATION
   _lowerCamelCase       				=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _lowerCamelCase       				=					MPNetTokenizer
   _lowerCamelCase       				=					['input_ids', 'attention_mask']


   def __init__(				self   :				Union[str, Any],  lowerCAmelCase   :				Dict=None,  lowerCAmelCase   :				Optional[Any]=None,  lowerCAmelCase   :				int=True,  lowerCAmelCase   :				Optional[int]="<s>",  lowerCAmelCase   :				List[str]="</s>",  lowerCAmelCase   :				List[Any]="</s>",  lowerCAmelCase   :				Union[str, Any]="<s>",  lowerCAmelCase   :				Union[str, Any]="[UNK]",  lowerCAmelCase   :				Optional[int]="<pad>",  lowerCAmelCase   :				Union[str, Any]="<mask>",  lowerCAmelCase   :				List[str]=True,  lowerCAmelCase   :				Any=None,  **lowerCAmelCase   :				Any,  )     ->							Dict:
         super().__init__(
             lowerCAmelCase,  tokenizer_file=lowerCAmelCase,  do_lower_case=lowerCAmelCase,  bos_token=lowerCAmelCase,  eos_token=lowerCAmelCase,  sep_token=lowerCAmelCase,  cls_token=lowerCAmelCase,  unk_token=lowerCAmelCase,  pad_token=lowerCAmelCase,  mask_token=lowerCAmelCase,  tokenize_chinese_chars=lowerCAmelCase,  strip_accents=lowerCAmelCase,  **lowerCAmelCase,  )

         lowercase	:   Any											= json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
         if (
             pre_tok_state.get('lowercase',  lowerCAmelCase      ) != do_lower_case
             or pre_tok_state.get('strip_accents',  lowerCAmelCase      ) != strip_accents
         ):
               lowercase	:   Dict											= getattr(lowerCAmelCase,  pre_tok_state.pop('type'      )      )
               lowercase	:   int											= do_lower_case
               lowercase	:   str											= strip_accents
               lowercase	:   Any											= pre_tok_class(**lowerCAmelCase      )

         lowercase	:   str											= do_lower_case


   @property
   def 							lowercase					(				self   :				int      )     ->							str:
         if self._mask_token is None:
               if self.verbose:
                     logger.error('Using mask_token, but it is not set yet.'      )
               return None
         return str(self._mask_token      )


   @mask_token.setter
   def 							lowercase					(				self   :				Optional[Any],  lowerCAmelCase   :				List[str]      )     ->							Dict:
         lowercase	:   Optional[int]											= AddedToken(lowerCAmelCase,  lstrip=lowerCAmelCase,  rstrip=lowerCAmelCase      ) if isinstance(lowerCAmelCase,  lowerCAmelCase      ) else value
         lowercase	:   List[Any]											= value


   def 							lowercase					(				self   :				Dict,  lowerCAmelCase   :				Tuple,  lowerCAmelCase   :				Any=None      )     ->							Dict:
         lowercase	:   Optional[int]											= [self.bos_token_id] + token_ids_a + [self.eos_token_id]
         if token_ids_a is None:
               return output

         return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]


   def 							lowercase					(				self   :				Union[str, Any],  lowerCAmelCase   :				List[int],  lowerCAmelCase   :				Optional[List[int]] = None      )     ->							List[int]:
         lowercase	:   Any											= [self.sep_token_id]
         lowercase	:   Optional[Any]											= [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 + sep + token_ids_a + sep      ) * [0]






   def 							lowercase					(				self   :				Tuple,  lowerCAmelCase   :				str,  lowerCAmelCase   :				Optional[str] = None      )     ->							Tuple[str]:
         lowercase	:   List[str]											= self._tokenizer.model.save(lowerCAmelCase,  name=lowerCAmelCase      )
         return tuple(lowerCAmelCase      )





"""simple docstring"""




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


_UpperCamelCase:					Tuple     				=	logging.get_logger(__name__)

_UpperCamelCase:					List[str]     				=	{
    'facebook/regnet-y-040': 'https://huggingface.co/facebook/regnet-y-040/blob/main/config.json',
}


class 	a__		(    SCREAMING_SNAKE_CASE__  ):
   _lowerCamelCase       				=					'regnet'
   _lowerCamelCase       				=					['x', 'y']


   def __init__(				self   :				Union[str, Any],  lowerCAmelCase   :				Union[str, Any]=3,  lowerCAmelCase   :				Tuple=32,  lowerCAmelCase   :				Optional[int]=[128, 192, 512, 1088],  lowerCAmelCase   :				Optional[int]=[2, 6, 12, 2],  lowerCAmelCase   :				str=64,  lowerCAmelCase   :				List[str]="y",  lowerCAmelCase   :				Optional[int]="relu",  **lowerCAmelCase   :				List[Any],  )     ->							Union[str, Any]:
         super().__init__(**lowerCAmelCase      )
         if layer_type not in self.layer_types:
               raise ValueError(f'''layer_type={layer_type} is not one of {','.join(self.layer_types      )}'''      )
         lowercase	:   str											= num_channels
         lowercase	:   str											= embedding_size
         lowercase	:   int											= hidden_sizes
         lowercase	:   Tuple											= depths
         lowercase	:   str											= groups_width
         lowercase	:   List[str]											= layer_type
         lowercase	:   Optional[int]											= hidden_act
         # always downsample in the first stage
         lowercase	:   Optional[Any]											= True
