def    A			(					_lowercase	,						_lowercase		):
						assert x is not None
						assert y is not None

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

						# declaring the array for storing the dp values
						SCREAMING_SNAKE_CASE							:					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		):
																		SCREAMING_SNAKE_CASE							:					List[str]           =							1 if x[i - 1] == y[j - 1] else 0

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

						SCREAMING_SNAKE_CASE							:					str           =							''''''
						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE							:					str           =							m, n
						while i > 0 and j > 0:
												SCREAMING_SNAKE_CASE							:					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:
																								SCREAMING_SNAKE_CASE							:					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__":
					__UpperCamelCase	: int    		=  'AGGTAB'
					__UpperCamelCase	: Optional[Any]    		=  'GXTXAYB'
					__UpperCamelCase	: Union[str, Any]    		=  4
					__UpperCamelCase	: int    		=  'GTAB'

					__UpperCamelCase		,    __UpperCamelCase	: str    		=  longest_common_subsequence(a, b)
					print('len =', ln, ', sub-sequence =', subseq)
					import doctest

					doctest.testmod()






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCamelCase	: Tuple    		=  {
    'configuration_maskformer': ['MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MaskFormerConfig'],
    'configuration_maskformer_swin': ['MaskFormerSwinConfig'],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase	: Optional[Any]    		=  ['MaskFormerFeatureExtractor']
					__UpperCamelCase	: List[Any]    		=  ['MaskFormerImageProcessor']


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase	: Optional[int]    		=  [
					    'MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'MaskFormerForInstanceSegmentation',
					    'MaskFormerModel',
					    'MaskFormerPreTrainedModel',
					]
					__UpperCamelCase	: Union[str, Any]    		=  [
					    'MaskFormerSwinBackbone',
					    'MaskFormerSwinModel',
					    'MaskFormerSwinPreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig
					from .configuration_maskformer_swin import MaskFormerSwinConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_maskformer import MaskFormerFeatureExtractor
										from .image_processing_maskformer import MaskFormerImageProcessor
					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_maskformer import (
										    MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MaskFormerForInstanceSegmentation,
										    MaskFormerModel,
										    MaskFormerPreTrainedModel,
										)
										from .modeling_maskformer_swin import (
										    MaskFormerSwinBackbone,
										    MaskFormerSwinModel,
										    MaskFormerSwinPreTrainedModel,
										)


else:
					import sys

					__UpperCamelCase	: List[str]    		=  _LazyModule(__name__, globals()['__file__'], _import_structure)





