
"""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 		lowerCamelCase__					(					__magic_name__				):





			'''simple docstring'''
			lowerCamelCase  					=		'''vit-hybrid'''



			def __init__(							self     ,     __UpperCAmelCase=None     ,     __UpperCAmelCase=7_68     ,     __UpperCAmelCase=12     ,     __UpperCAmelCase=12     ,     __UpperCAmelCase=30_72     ,     __UpperCAmelCase="gelu"     ,     __UpperCAmelCase=0.0     ,     __UpperCAmelCase=0.0     ,     __UpperCAmelCase=0.0_2     ,     __UpperCAmelCase=1e-12     ,     __UpperCAmelCase=2_24     ,     __UpperCAmelCase=1     ,     __UpperCAmelCase=3     ,     __UpperCAmelCase=[1, 10_24, 24, 24]     ,     __UpperCAmelCase=True     ,     **__UpperCAmelCase     ,     ) ->     List[Any]:
				super().__init__(**__UpperCAmelCase  )

				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(__UpperCAmelCase     ,     __UpperCAmelCase  ):
					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(**__UpperCAmelCase  )

				_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 					_lowerCAmelCase		(							self  ) ->     Dict[str, any]:
				_lowerCAmelCase								=copy.deepcopy(self.__dict__  )
				_lowerCAmelCase								=self.backbone_config.to_dict()
				_lowerCAmelCase								=self.__class__.model_type
				return output





"""simple docstring"""


from .hash_table import HashTable







class 		lowerCamelCase__					(					__magic_name__				):





			'''simple docstring'''



			def __init__(							self     ,     *__UpperCAmelCase     ,     **__UpperCAmelCase  ) ->     List[str]:
				super().__init__(*__UpperCAmelCase     ,     **__UpperCAmelCase  )



			def 					_lowerCAmelCase		(							self     ,     __UpperCAmelCase     ,     __UpperCAmelCase=None  ) ->     Union[str, Any]:
				_lowerCAmelCase								=1
				_lowerCAmelCase								=self.hash_function(key + i * i  )

				while self.values[new_key] is not None and self.values[new_key] != key:
					i += 1
					_lowerCAmelCase								=(
					    self.hash_function(key + i * i  )
					    if not self.balanced_factor() >= self.lim_charge
					    else None
					)

					if new_key is None:
						break

				return new_key



