





"""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


_snake_case	:						Tuple					=					logging.get_logger(__name__)

_snake_case	:						List[str]					=					{
    '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    _UpperCAmelCase  (      lowercase_					):
					UpperCamelCase						=				'''vit-hybrid'''


					def __init__(   self     :List[Any]	,			__UpperCamelCase     :Union[str, Any]=None	,			__UpperCamelCase     :Optional[Any]=7_68	,			__UpperCamelCase     :Any=12	,			__UpperCamelCase     :Optional[Any]=12	,			__UpperCamelCase     :str=30_72	,			__UpperCamelCase     :str="gelu"	,			__UpperCamelCase     :str=0.0	,			__UpperCamelCase     :Dict=0.0	,			__UpperCamelCase     :List[Any]=0.02	,			__UpperCamelCase     :str=1e-12	,			__UpperCamelCase     :Optional[int]=2_24	,			__UpperCamelCase     :Optional[Any]=1	,			__UpperCamelCase     :List[str]=3	,			__UpperCamelCase     :Optional[int]=[1, 10_24, 24, 24]	,			__UpperCamelCase     :Optional[int]=True	,			**__UpperCamelCase     :Tuple	,			):
												super().__init__(**__UpperCamelCase						)

												if backbone_config is None:
																			logger.info("`backbone_config` is `None`. Initializing the config with a `BiT` backbone."						)
																			A						=    {
																			    "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:
																										A						=    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						=    BitConfig
																			A						=    backbone_config_class(**__UpperCamelCase						)

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


					def       lowerCamelCase			(   self     :List[Any]						):
												A						=    copy.deepcopy(self.__dict__						)
												A						=    self.backbone_config.to_dict()
												A						=    self.__class__.model_type
												return output









"""simple docstring"""
from __future__ import annotations






def    A__							(     UpperCamelCase			):
							A						=    42
							A						=    list(UpperCamelCase			)
							A,      A						=    _vector[:-1], int(_vector[-1]			)
							A						=    [int(UpperCamelCase			) for digit in __vector]

							vector.reverse()
							for i, digit in enumerate(UpperCamelCase			):
														if i & 1 == 0:
																					A						=    digit * 2
																					if doubled > 9:
																												doubled -= 9
																					check_digit += doubled
														else:
																					check_digit += digit

							return check_digit % 10 == 0


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		assert is_luhn('79927398713')
		assert not is_luhn('79927398714')


