




from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__lowerCAmelCase						:							Any			     =						logging.get_logger(__name__)




class        snake_case__				(_a  ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_			:				List[str]									=   ["""input_ids""", """attention_mask"""]





				def __init__( self							:	Optional[int]   , __lowerCamelCase							:	int="[PAD]"   , __lowerCamelCase							:	Any="[BOS]"   , __lowerCamelCase							:	Any="[EOS]"   , __lowerCamelCase							:	Optional[int]="[MASK]"   , __lowerCamelCase							:	Union[str, Any]="[CLS]"   , __lowerCamelCase							:	Dict="[SEP]"   , __lowerCamelCase							:	Optional[Any]=20_48   , **__lowerCamelCase							:	Union[str, Any]   , )   ->	None:
							a       =     AddedToken(snake_case_   , lstrip=snake_case_   , rstrip=snake_case_				) if isinstance(snake_case_   , snake_case_				) else pad_token
							a       =     AddedToken(snake_case_   , lstrip=snake_case_   , rstrip=snake_case_				) if isinstance(snake_case_   , snake_case_				) else bos_token
							a       =     AddedToken(snake_case_   , lstrip=snake_case_   , rstrip=snake_case_				) if isinstance(snake_case_   , snake_case_				) else eos_token
							a       =     AddedToken(snake_case_   , lstrip=snake_case_   , rstrip=snake_case_				) if isinstance(snake_case_   , snake_case_				) else mask_token
							a       =     AddedToken(snake_case_   , lstrip=snake_case_   , rstrip=snake_case_				) if isinstance(snake_case_   , snake_case_				) else cls_token
							a       =     AddedToken(snake_case_   , lstrip=snake_case_   , rstrip=snake_case_				) if isinstance(snake_case_   , snake_case_				) else sep_token

							super().__init__(
							    pad_token=snake_case_   , bos_token=snake_case_   , eos_token=snake_case_   , mask_token=snake_case_   , cls_token=snake_case_   , sep_token=snake_case_   , model_max_length=snake_case_   , **snake_case_   , )

							a       =     2**8  # utf is 8 bits

							# define special tokens dict
							a       =     {
							    self.pad_token: 0,
							    self.bos_token: 1,
							    self.eos_token: 2,
							    self.mask_token: 3,
							    self.cls_token: 4,
							    self.sep_token: 5,
							}
							a       =     len(self.special_tokens_encoder				)
							a       =     {v: k for k, v in self.special_tokens_encoder.items()}





				def 				__UpperCAmelCase				( self							:	int				)   ->	Dict[str, int]:
							a       =     self.special_tokens_encoder.copy()
							vocab.update(self.added_tokens_encoder				)
							for i in range(self._utf_vocab_size				):
										a       =     chr(snake_case_				)
										a       =     i + len(self.special_tokens_encoder				)
							return vocab





				@property
				def 				__UpperCAmelCase				( self							:	Tuple				)   ->	Dict:
							return self._utf_vocab_size + self._num_special_tokens





				def 				__UpperCAmelCase				( self							:	List[str]   , __lowerCamelCase							:	Tuple   , __lowerCamelCase							:	Tuple = None   , __lowerCamelCase							:	Tuple = False				)   ->	List[int]:
							if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=snake_case_   , token_ids_a=snake_case_   , already_has_special_tokens=snake_case_				)

							# normal case: some special tokens
							if token_ids_a is None:
										return [1] + [0] * len(snake_case_				) + [1]
							return [1] + ([0] * len(snake_case_				)) + [1] + ([0] * len(snake_case_				)) + [1]





				def 				__UpperCAmelCase				( self							:	Tuple   , __lowerCamelCase							:	str   , __lowerCamelCase							:	Optional[int] = None				)   ->	List[int]:
							if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							else:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]





				def 				__UpperCAmelCase				( self							:	str   , __lowerCamelCase							:	Any				)   ->	List[str]:
							a       =     [chr(snake_case_				) for i in text.encode("utf-8"				)]
							return tokens





				def 				__UpperCAmelCase				( self							:	int   , __lowerCamelCase							:	Union[str, Any]				)   ->	Any:
							if token in self.special_tokens_encoder:
										a       =     self.special_tokens_encoder[token]
							elif token in self.added_tokens_encoder:
										a       =     self.added_tokens_encoder[token]
							elif len(snake_case_				) != 1:
										a       =     self.unk_token_id
							else:
										a       =     ord(snake_case_				) + self._num_special_tokens
							return token_id





				def 				__UpperCAmelCase				( self							:	List[Any]   , __lowerCamelCase							:	Union[str, Any]				)   ->	str:
							if index in self.special_tokens_decoder:
										a       =     self.special_tokens_decoder[index]
							elif index in self.added_tokens_decoder:
										a       =     self.added_tokens_decoder[index]
							else:
										a       =     chr(index - self._num_special_tokens				)
							return token





				def 				__UpperCAmelCase				( self							:	List[Any]   , __lowerCamelCase							:	Optional[Any]				)   ->	Union[str, Any]:
							a       =     B""
							for token in tokens:
										if token in self.special_tokens_decoder:
													a       =     self.special_tokens_decoder[token].encode("utf-8"				)
										elif token in self.added_tokens_decoder:
													a       =     self.special_tokens_decoder[token].encode("utf-8"				)
										elif token in self.special_tokens_encoder:
													a       =     token.encode("utf-8"				)
										elif token in self.added_tokens_encoder:
													a       =     token.encode("utf-8"				)
										else:
													a       =     bytes([ord(snake_case_				)]				)
										bstring += tok_string
							a       =     bstring.decode("utf-8"   , errors="replace"				)
							return string





				def 				__UpperCAmelCase				( self							:	Optional[int]   , __lowerCamelCase							:	List[Any]   , __lowerCamelCase							:	List[str] = None				)   ->	Tuple[str]:
							return ()














"""simple docstring"""





import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig
class  __lowerCamelCase     (	_a	):
   a   :					List[Any]			    =CustomConfig

   def __init__(       self			,					snake_case_   )		->							str:
       super().__init__(snake_case_   )
       UpperCamelCase__								=     torch.nn.Linear(config.hidden_size			,					config.hidden_size   )

   def     SCREAMING_SNAKE_CASE__			(       self			,					snake_case_   )		->							Optional[int]:
       return self.linear(snake_case_   )







   def     SCREAMING_SNAKE_CASE__			(       self			,					snake_case_   )		->							Union[str, Any]:
       pass







class  __lowerCamelCase     (	_a	):
   a   :					Optional[int]			    =NoSuperInitConfig

   def __init__(       self			,					snake_case_   )		->							Optional[int]:
       super().__init__(snake_case_   )
       UpperCamelCase__								=     torch.nn.Linear(config.attribute			,					config.attribute   )

   def     SCREAMING_SNAKE_CASE__			(       self			,					snake_case_   )		->							int:
       return self.linear(snake_case_   )







   def     SCREAMING_SNAKE_CASE__			(       self			,					snake_case_   )		->							Union[str, Any]:
       pass




