
def 		UpperCAmelCase     (      a_						,  a_		)						->      Dict:







				"""simple docstring"""



				assert x is not None
				assert y is not None

				__A       =					len(a_		)
				__A       =					len(a_		)

				# declaring the array for storing the dp values
				__A       =					[[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       =					1 if x[i - 1] == y[j - 1] else 0

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

				__A       =					""
				__A     ,				__A       =					m, n
				while i > 0 and j > 0:
								__A       =					1 if x[i - 1] == y[j - 1] else 0

								if l[i][j] == l[i - 1][j - 1] + match:
												if match == 1:
																__A       =					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__":
					SCREAMING_SNAKE_CASE				:Optional[int]									=							'AGGTAB'
					SCREAMING_SNAKE_CASE				:List[Any]									=							'GXTXAYB'
					SCREAMING_SNAKE_CASE				:str									=							4
					SCREAMING_SNAKE_CASE				:List[str]									=							'GTAB'

					SCREAMING_SNAKE_CASE					,       SCREAMING_SNAKE_CASE				:Tuple									=							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_tf_available,
    is_torch_available,
    is_vision_available,
)


lowercase   =	{
    '''configuration_blip''': [
        '''BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BlipConfig''',
        '''BlipTextConfig''',
        '''BlipVisionConfig''',
    ],
    '''processing_blip''': ['''BlipProcessor'''],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	['''BlipImageProcessor''']


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	[
		    '''BLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''BlipModel''',
		    '''BlipPreTrainedModel''',
		    '''BlipForConditionalGeneration''',
		    '''BlipForQuestionAnswering''',
		    '''BlipVisionModel''',
		    '''BlipTextModel''',
		    '''BlipForImageTextRetrieval''',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	[
		    '''TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''TFBlipModel''',
		    '''TFBlipPreTrainedModel''',
		    '''TFBlipForConditionalGeneration''',
		    '''TFBlipForQuestionAnswering''',
		    '''TFBlipVisionModel''',
		    '''TFBlipTextModel''',
		    '''TFBlipForImageTextRetrieval''',
		]

if TYPE_CHECKING:
		from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
		from .processing_blip import BlipProcessor

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_blip import BlipImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_blip import (
				    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BlipForConditionalGeneration,
				    BlipForImageTextRetrieval,
				    BlipForQuestionAnswering,
				    BlipModel,
				    BlipPreTrainedModel,
				    BlipTextModel,
				    BlipVisionModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_blip import (
				    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFBlipForConditionalGeneration,
				    TFBlipForImageTextRetrieval,
				    TFBlipForQuestionAnswering,
				    TFBlipModel,
				    TFBlipPreTrainedModel,
				    TFBlipTextModel,
				    TFBlipVisionModel,
				)

else:
		import sys

		lowercase   =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





