




"""simple docstring"""







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					=							logging.get_logger(__name__)

a					=							{
    '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__   (   _a   ):
						_a        =  'vit-hybrid'


						def __init__(							self			:     int  ,  lowerCAmelCase			:     List[Any]=None  ,  lowerCAmelCase			:     List[Any]=768  ,  lowerCAmelCase			:     List[Any]=12  ,  lowerCAmelCase			:     Tuple=12  ,  lowerCAmelCase			:     Union[str, Any]=3072  ,  lowerCAmelCase			:     Union[str, Any]="gelu"  ,  lowerCAmelCase			:     Any=0.0  ,  lowerCAmelCase			:     List[str]=0.0  ,  lowerCAmelCase			:     Any=0.02  ,  lowerCAmelCase			:     Optional[int]=1e-12  ,  lowerCAmelCase			:     Any=224  ,  lowerCAmelCase			:     Optional[int]=1  ,  lowerCAmelCase			:     List[Any]=3  ,  lowerCAmelCase			:     Any=[1, 1024, 24, 24]  ,  lowerCAmelCase			:     List[Any]=True  ,  **lowerCAmelCase			:     List[str]  ,  ):
										super().__init__(**lowerCAmelCase   )

										if backbone_config is None:
														logger.info("""`backbone_config` is `None`. Initializing the config with a `BiT` backbone."""   )
														lowerCAmelCase		=			{
														    """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:
																		lowerCAmelCase		=			CONFIG_MAPPING[backbone_config["""model_type"""]]
														else:
																		logger.info(
																		    """`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class."""   )
																		lowerCAmelCase		=			BitConfig
														lowerCAmelCase		=			backbone_config_class(**lowerCAmelCase   )

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




						def 					__lowercase	(							self			:     Tuple   ):
										lowerCAmelCase		=			copy.deepcopy(self.__dict__   )
										lowerCAmelCase		=			self.backbone_config.to_dict()
										lowerCAmelCase		=			self.__class__.model_type
										return output











"""simple docstring"""







def 							lowercase   (snake_case__				:	list	)       ->					bool:


				'''simple docstring'''






				if not isinstance(snake_case__ ,    snake_case__	):
								raise ValueError("""Input series is not valid, valid series - [2, 4, 8]"""	)
				if len(snake_case__	) == 0:
								raise ValueError("""Input list must be a non empty list"""	)
				if len(snake_case__	) == 1:
								return True
				try:
								lowerCAmelCase		=			series[1] / series[0]
								for index in range(len(snake_case__	) - 1	):
												if series[index + 1] / series[index] != common_ratio:
																return False
				except ZeroDivisionError:
								return False
				return True





def 							lowercase   (snake_case__				:	list	)       ->					float:


				'''simple docstring'''






				if not isinstance(snake_case__ ,    snake_case__	):
								raise ValueError("""Input series is not valid, valid series - [2, 4, 8]"""	)
				if len(snake_case__	) == 0:
								raise ValueError("""Input list must be a non empty list"""	)
				lowerCAmelCase		=			1
				for value in series:
								answer *= value
				return pow(snake_case__ ,    1 / len(snake_case__	)	)


if __name__ == "__main__":
		import doctest

		doctest.testmod()





