


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


lowerCAmelCase__						=			logging.get_logger(__name__)

lowerCAmelCase__						=			{
    '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 					lowerCAmelCase__	(    a):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE        =			"vit-hybrid"


     def __init__(						self			,						__lowerCamelCase=None			,						__lowerCamelCase=7_6_8			,						__lowerCamelCase=1_2			,						__lowerCamelCase=1_2			,						__lowerCamelCase=3_0_7_2			,						__lowerCamelCase="gelu"			,						__lowerCamelCase=0.0			,						__lowerCamelCase=0.0			,						__lowerCamelCase=0.0_2			,						__lowerCamelCase=1e-12			,						__lowerCamelCase=2_2_4			,						__lowerCamelCase=1			,						__lowerCamelCase=3			,						__lowerCamelCase=[1, 1_0_2_4, 2_4, 2_4]			,						__lowerCamelCase=True			,						**__lowerCamelCase			,						)      ->    Any:
            super().__init__(**__lowerCamelCase)

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

            if isinstance(__lowerCamelCase			,						__lowerCamelCase):
                   if "model_type" in backbone_config:
                          _A				:	Optional[int]       =			CONFIG_MAPPING[backbone_config["model_type"]]
                   else:
                          logger.info(
                              "`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class.")
                          _A				:	Any       =			BitConfig
                   _A				:	str       =			backbone_config_class(**__lowerCamelCase)

            _A				:	int       =			backbone_featmap_shape
            _A				:	List[str]       =			backbone_config
            _A				:	Optional[Any]       =			hidden_size
            _A				:	Optional[int]       =			num_hidden_layers
            _A				:	List[str]       =			num_attention_heads
            _A				:	str       =			intermediate_size
            _A				:	Union[str, Any]       =			hidden_act
            _A				:	Dict       =			hidden_dropout_prob
            _A				:	List[str]       =			attention_probs_dropout_prob
            _A				:	int       =			initializer_range
            _A				:	int       =			layer_norm_eps
            _A				:	Tuple       =			image_size
            _A				:	Union[str, Any]       =			patch_size
            _A				:	Dict       =			num_channels
            _A				:	int       =			qkv_bias


     def 			_lowerCamelCase			(						self)      ->    Dict[str, any]:
            _A				:	Dict       =			copy.deepcopy(self.__dict__)
            _A				:	List[str]       =			self.backbone_config.to_dict()
            _A				:	int       =			self.__class__.model_type
            return output




def 							_UpperCAmelCase    (UpperCamelCase__					:  str						):
       _A				:	Tuple       =			str(UpperCamelCase__						).strip()
       if not bin_string:
              raise ValueError("Empty string was passed to the function"						)
       _A				:	Dict       =			bin_string[0] == "-"
       if is_negative:
              _A				:	Any       =			bin_string[1:]
       if not all(char in "01" for char in bin_string						):
              raise ValueError("Non-binary value was passed to the function"						)
       _A				:	Union[str, Any]       =			0
       for char in bin_string:
              _A				:	Union[str, Any]       =			2 * decimal_number + int(UpperCamelCase__						)
       return -decimal_number if is_negative else decimal_number


if __name__ == "__main__":
    from doctest import testmod

    testmod()
