

def 					lowerCamelCase_     (							UpperCAmelCase_							:     Union[str, Any]							,       UpperCAmelCase_							:     Union[str, Any]	)						->				int:




	'''simple docstring'''




	assert x is not None
	assert y is not None

	_UpperCamelCase   :		Union[str, Any]			=						len(_lowercase	)
	_UpperCamelCase   :		Optional[int]			=						len(_lowercase	)

	# declaring the array for storing the dp values
	_UpperCamelCase   :		List[Any]			=						[[0] * (n + 1) for _ in range(m + 1	)]  # noqa: E741

	for i in range(1							,       m + 1	):
		for j in range(1							,       n + 1	):
			_UpperCamelCase   :		List[str]			=						1 if x[i - 1] == y[j - 1] else 0

			_UpperCamelCase   :		List[str]			=						max(l[i - 1][j]							,       l[i][j - 1]							,       l[i - 1][j - 1] + match	)

	_UpperCamelCase   :		str			=						''''''
	_UpperCamelCase   :		str			=						m, n
	while i > 0 and j > 0:
		_UpperCamelCase   :		Optional[int]			=						1 if x[i - 1] == y[j - 1] else 0

		if l[i][j] == l[i - 1][j - 1] + match:
			if match == 1:
				_UpperCamelCase   :		Optional[Any]			=						x[i - 1] + seq
			i -= 1
			j -= 1
		elif l[i][j] == l[i - 1][j]:
			i -= 1
		else:
			j -= 1

	return l[m][n], seq


if __name__ == "__main__":
							lowerCAmelCase__			=		'AGGTAB'
							lowerCAmelCase__			=		'GXTXAYB'
							lowerCAmelCase__			=		4
							lowerCAmelCase__			=		'GTAB'

							lowerCAmelCase__			=		longest_common_subsequence(a, b)
							print("""len =""", ln, """, sub-sequence =""", subseq)
							import doctest

							doctest.testmod()







from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__								=		logging.get_logger(__name__)

lowerCAmelCase__								=		{
    """facebook/vit-mae-base""": """https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json""",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}







class 	lowercase    (				_lowercase							):


		"""simple docstring"""




		a__					       =  "vit_mae"


		def __init__(				self	,       __snake_case=7_68	,       __snake_case=12	,       __snake_case=12	,       __snake_case=30_72	,       __snake_case="gelu"	,       __snake_case=0.0	,       __snake_case=0.0	,       __snake_case=0.0_2	,       __snake_case=1e-12	,       __snake_case=2_24	,       __snake_case=16	,       __snake_case=3	,       __snake_case=True	,       __snake_case=16	,       __snake_case=5_12	,       __snake_case=8	,       __snake_case=20_48	,       __snake_case=0.7_5	,       __snake_case=False	,       **__snake_case	,       ):
			super().__init__(**__snake_case)

			_UpperCamelCase   :		Optional[int]			=						hidden_size
			_UpperCamelCase   :		Optional[int]			=						num_hidden_layers
			_UpperCamelCase   :		Tuple			=						num_attention_heads
			_UpperCamelCase   :		List[str]			=						intermediate_size
			_UpperCamelCase   :		str			=						hidden_act
			_UpperCamelCase   :		List[str]			=						hidden_dropout_prob
			_UpperCamelCase   :		List[Any]			=						attention_probs_dropout_prob
			_UpperCamelCase   :		str			=						initializer_range
			_UpperCamelCase   :		Any			=						layer_norm_eps
			_UpperCamelCase   :		int			=						image_size
			_UpperCamelCase   :		Any			=						patch_size
			_UpperCamelCase   :		List[Any]			=						num_channels
			_UpperCamelCase   :		Union[str, Any]			=						qkv_bias
			_UpperCamelCase   :		str			=						decoder_num_attention_heads
			_UpperCamelCase   :		Union[str, Any]			=						decoder_hidden_size
			_UpperCamelCase   :		Union[str, Any]			=						decoder_num_hidden_layers
			_UpperCamelCase   :		Any			=						decoder_intermediate_size
			_UpperCamelCase   :		int			=						mask_ratio
			_UpperCamelCase   :		List[Any]			=						norm_pix_loss




