

def 							__SCREAMING_SNAKE_CASE     (   a__    :   str			,a__    :   str       )					->				Union[str, Any]:
	assert x is not None
	assert y is not None

	__A :			str		    =			len(a__       )
	__A :			Tuple		    =			len(a__       )

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

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

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

	__A :			Dict		    =			""""""
	__A    ,				__A :			List[Any]		    =			m, n
	while i > 0 and j > 0:
		__A :			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:
				__A :			Dict		    =			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_							:					Tuple		 =   '''AGGTAB'''
			UpperCAmelCase_							:					Optional[Any]		 =   '''GXTXAYB'''
			UpperCAmelCase_							:					Union[str, Any]		 =   4
			UpperCAmelCase_							:					Union[str, Any]		 =   '''GTAB'''

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

			doctest.testmod()








from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_							:					int		 =   {
    '''configuration_informer''': [
        '''INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InformerConfig''',
    ],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase_							:					List[str]		 =   [
			    '''INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''InformerForPrediction''',
			    '''InformerModel''',
			    '''InformerPreTrainedModel''',
			]


if TYPE_CHECKING:
			from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_informer import (
						    INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
						    InformerForPrediction,
						    InformerModel,
						    InformerPreTrainedModel,
						)

else:
			import sys

			UpperCAmelCase_							:					Optional[int]		 =   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





