



from typing import Dict, List, Optional, Tuple

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


UpperCamelCase_      			=  logging.get_logger(__name__)







class 				a_    (						SCREAMING_SNAKE_CASE__							):
						UpperCamelCase__ :		Dict										=["input_ids", "attention_mask"]

						def __init__(       self      :Tuple  ,		_lowercase      :List[str]="[PAD]"  ,		_lowercase      :List[Any]="[BOS]"  ,		_lowercase      :Union[str, Any]="[EOS]"  ,		_lowercase      :Optional[Any]="[MASK]"  ,		_lowercase      :Union[str, Any]="[CLS]"  ,		_lowercase      :int="[SEP]"  ,		_lowercase      :Tuple=2048  ,		**_lowercase      :Tuple  ,		)						->   None:
												UpperCAmelCase_					=	AddedToken(_lowercase  ,		lstrip=_lowercase  ,		rstrip=_lowercase) if isinstance(_lowercase  ,		_lowercase) else pad_token
												UpperCAmelCase_					=	AddedToken(_lowercase  ,		lstrip=_lowercase  ,		rstrip=_lowercase) if isinstance(_lowercase  ,		_lowercase) else bos_token
												UpperCAmelCase_					=	AddedToken(_lowercase  ,		lstrip=_lowercase  ,		rstrip=_lowercase) if isinstance(_lowercase  ,		_lowercase) else eos_token
												UpperCAmelCase_					=	AddedToken(_lowercase  ,		lstrip=_lowercase  ,		rstrip=_lowercase) if isinstance(_lowercase  ,		_lowercase) else mask_token
												UpperCAmelCase_					=	AddedToken(_lowercase  ,		lstrip=_lowercase  ,		rstrip=_lowercase) if isinstance(_lowercase  ,		_lowercase) else cls_token
												UpperCAmelCase_					=	AddedToken(_lowercase  ,		lstrip=_lowercase  ,		rstrip=_lowercase) if isinstance(_lowercase  ,		_lowercase) else sep_token

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

												UpperCAmelCase_					=	2**8  # utf is 8 bits

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

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

						@property
						def       __a			(       self      :Any)						->   Union[str, Any]:
												return self._utf_vocab_size + self._num_special_tokens

						def       __a			(       self      :str  ,		_lowercase      :str  ,		_lowercase      :Optional[int] = None  ,		_lowercase      :Optional[int] = False)						->   List[int]:







												if already_has_special_tokens:
																		return super().get_special_tokens_mask(
																		    token_ids_a=_lowercase  ,		token_ids_a=_lowercase  ,		already_has_special_tokens=_lowercase)

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

						def       __a			(       self      :Any  ,		_lowercase      :Union[str, Any]  ,		_lowercase      :str = 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       __a			(       self      :Any  ,		_lowercase      :Tuple)						->   List[str]:
												UpperCAmelCase_					=	[chr(_lowercase) for i in text.encode('''utf-8''')]
												return tokens

						def       __a			(       self      :Dict  ,		_lowercase      :Tuple)						->   List[str]:







												if token in self.special_tokens_encoder:
																		UpperCAmelCase_					=	self.special_tokens_encoder[token]
												elif token in self.added_tokens_encoder:
																		UpperCAmelCase_					=	self.added_tokens_encoder[token]
												elif len(_lowercase) != 1:
																		UpperCAmelCase_					=	self.unk_token_id
												else:
																		UpperCAmelCase_					=	ord(_lowercase) + self._num_special_tokens
												return token_id

						def       __a			(       self      :Dict  ,		_lowercase      :int)						->   List[str]:







												if index in self.special_tokens_decoder:
																		UpperCAmelCase_					=	self.special_tokens_decoder[index]
												elif index in self.added_tokens_decoder:
																		UpperCAmelCase_					=	self.added_tokens_decoder[index]
												else:
																		UpperCAmelCase_					=	chr(index - self._num_special_tokens)
												return token

						def       __a			(       self      :List[str]  ,		_lowercase      :List[str])						->   Dict:
												UpperCAmelCase_					=	b''''''
												for token in tokens:
																		if token in self.special_tokens_decoder:
																								UpperCAmelCase_					=	self.special_tokens_decoder[token].encode('''utf-8''')
																		elif token in self.added_tokens_decoder:
																								UpperCAmelCase_					=	self.special_tokens_decoder[token].encode('''utf-8''')
																		elif token in self.special_tokens_encoder:
																								UpperCAmelCase_					=	token.encode('''utf-8''')
																		elif token in self.added_tokens_encoder:
																								UpperCAmelCase_					=	token.encode('''utf-8''')
																		else:
																								UpperCAmelCase_					=	bytes([ord(_lowercase)])
																		bstring += tok_string
												UpperCAmelCase_					=	bstring.decode('''utf-8'''  ,		errors='''replace''')
												return string




						def       __a			(       self      :List[Any]  ,		_lowercase      :List[str]  ,		_lowercase      :Tuple = None)						->   Tuple[str]:
												return ()












import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


a_    :				Union[str, Any]					=			logging.get_logger(__name__)

a_    :				Optional[Any]					=			{
    'google/vit-hybrid-base-bit-384': 'https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json',
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}



class  SCREAMING_SNAKE_CASE_  ( SCREAMING_SNAKE_CASE__			):


  """simple docstring"""





  _a								=							"""vit-hybrid"""





  def __init__(  self	,  A=None	,  A=7_68	,  A=12	,  A=12	,  A=30_72	,  A="gelu"	,  A=0.0	,  A=0.0	,  A=0.02	,  A=1E-12	,  A=2_24	,  A=1	,  A=3	,  A=[1, 10_24, 24, 24]	,  A=True	,  **A	,  )		->   Union[str, Any]:





       '''simple docstring'''







       super().__init__(**A						)

       if backbone_config is None:
            logger.info('''`backbone_config` is `None`. Initializing the config with a `BiT` backbone.'''						)
            __magic_name__				=       {
                '''global_padding''': '''same''',
                '''layer_type''': '''bottleneck''',
                '''depths''': [3, 4, 9],
                '''out_features''': ['''stage3'''],
                '''embedding_dynamic_padding''': True,
            }

       if isinstance(A	,  A						):
            if "model_type" in backbone_config:
                 __magic_name__				=       CONFIG_MAPPING[backbone_config['''model_type''']]
            else:
                 logger.info(
                     '''`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class.'''						)
                 __magic_name__				=       BitConfig
            __magic_name__				=       backbone_config_class(**A						)

       __magic_name__				=       backbone_featmap_shape
       __magic_name__				=       backbone_config
       __magic_name__				=       hidden_size
       __magic_name__				=       num_hidden_layers
       __magic_name__				=       num_attention_heads
       __magic_name__				=       intermediate_size
       __magic_name__				=       hidden_act
       __magic_name__				=       hidden_dropout_prob
       __magic_name__				=       attention_probs_dropout_prob
       __magic_name__				=       initializer_range
       __magic_name__				=       layer_norm_eps
       __magic_name__				=       image_size
       __magic_name__				=       patch_size
       __magic_name__				=       num_channels
       __magic_name__				=       qkv_bias







  def 			__A      (  self						)		->   Dict[str, any]:





       '''simple docstring'''







       __magic_name__				=       copy.deepcopy(self.__dict__						)
       __magic_name__				=       self.backbone_config.to_dict()
       __magic_name__				=       self.__class__.model_type
       return output