



'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a     :    Dict      						=					logging.get_logger(__name__)

a     :    List[str]      						=					{
    """microsoft/beit-base-patch16-224-pt22k""": (
        """https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json"""
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}

class     UpperCamelCase_				(							__magic_name__    ):
	lowercase    =				'beit'





	def __init__(						self	,	A=8192	,	A=768	,	A=12	,	A=12	,	A=3072	,	A="gelu"	,	A=0.0	,	A=0.0	,	A=0.0_2	,	A=1e-12	,	A=224	,	A=16	,	A=3	,	A=False	,	A=False	,	A=False	,	A=False	,	A=0.1	,	A=0.1	,	A=True	,	A=[3, 5, 7, 11]	,	A=[1, 2, 3, 6]	,	A=True	,	A=0.4	,	A=256	,	A=1	,	A=False	,	A=255	,	**A	,	)    ->    List[Any]:
								super().__init__(**_UpperCAmelCase					)

								UpperCAmelCase  :	str							  =	vocab_size
								UpperCAmelCase  :	Union[str, Any]							  =	hidden_size
								UpperCAmelCase  :	Optional[int]							  =	num_hidden_layers
								UpperCAmelCase  :	Any							  =	num_attention_heads
								UpperCAmelCase  :	Any							  =	intermediate_size
								UpperCAmelCase  :	Optional[int]							  =	hidden_act
								UpperCAmelCase  :	Dict							  =	hidden_dropout_prob
								UpperCAmelCase  :	int							  =	attention_probs_dropout_prob
								UpperCAmelCase  :	Any							  =	initializer_range
								UpperCAmelCase  :	Optional[Any]							  =	layer_norm_eps

								UpperCAmelCase  :	Any							  =	image_size
								UpperCAmelCase  :	int							  =	patch_size
								UpperCAmelCase  :	int							  =	num_channels
								UpperCAmelCase  :	int							  =	use_mask_token
								UpperCAmelCase  :	Tuple							  =	use_absolute_position_embeddings
								UpperCAmelCase  :	Any							  =	use_relative_position_bias
								UpperCAmelCase  :	Optional[Any]							  =	use_shared_relative_position_bias
								UpperCAmelCase  :	Optional[Any]							  =	layer_scale_init_value
								UpperCAmelCase  :	List[Any]							  =	drop_path_rate
								UpperCAmelCase  :	Optional[int]							  =	use_mean_pooling
								# decode head attributes (semantic segmentation)
								UpperCAmelCase  :	Optional[Any]							  =	out_indices
								UpperCAmelCase  :	Optional[Any]							  =	pool_scales
								# auxiliary head attributes (semantic segmentation)
								UpperCAmelCase  :	Union[str, Any]							  =	use_auxiliary_head
								UpperCAmelCase  :	int							  =	auxiliary_loss_weight
								UpperCAmelCase  :	str							  =	auxiliary_channels
								UpperCAmelCase  :	List[str]							  =	auxiliary_num_convs
								UpperCAmelCase  :	List[str]							  =	auxiliary_concat_input
								UpperCAmelCase  :	Tuple							  =	semantic_loss_ignore_index




class     UpperCamelCase_				(							__magic_name__    ):
	lowercase    =				version.parse('1.11'    )





	@property
	def 				_lowercase(						self					)    ->    Mapping[str, Mapping[int, str]]:
								return OrderedDict(
								    [
								        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
								    ]					)






	@property
	def 				_lowercase(						self					)    ->    float:
								return 1e-4









'''simple docstring'''




a     :    Tuple      						=					[sum(int(c, 1_0) ** 2 for c in i.__str__()) for i in range(1_0_0_0_0_0)]



def    __lowerCamelCase						(      _lowercase	)   ->    int:
							UpperCAmelCase  :	str							  =	0
							while number:
														# Increased Speed Slightly by checking every 5 digits together.
														sum_of_digits_squared += DIGITS_SQUARED[number % 1_0_0_0_0_0]
														number //= 1_0_0_0_0_0

							return sum_of_digits_squared


# There are 2 Chains made,
# One ends with 89 with the chain member 58 being the one which when declared first,
# there will be the least number of iterations for all the members to be checked.

# The other one ends with 1 and has only one element 1.

# So 58 and 1 are chosen to be declared at the starting.

# Changed dictionary to an array to quicken the solution
a     :    list[bool | None]      						=					[None] * 1_0_0_0_0_0_0_0
a     :    Optional[Any]      						=					True
a     :    List[Any]      						=					False



def    __lowerCamelCase						(      _lowercase	)   ->    bool:

							if CHAINS[number - 1] is not None:
														return CHAINS[number - 1]  # type: ignore

							UpperCAmelCase  :	List[str]							  =	chain(next_number(_lowercase	)	)
							UpperCAmelCase  :	Tuple							  =	number_chain

							while number < 1_0_0_0_0_0_0_0:
														UpperCAmelCase  :	List[str]							  =	number_chain
														number *= 1_0

							return number_chain



def    __lowerCamelCase						(      _lowercase = 1_0_0_0_0_0_0_0	)   ->    int:
							for i in range(1			,       _lowercase	):
														if CHAINS[i] is None:
																					chain(i + 1	)

							return CHAINS[:number].count(_lowercase	)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							print(F'''{solution() = }''')

