




'''simple docstring'''





from typing import TYPE_CHECKING

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


_SCREAMING_SNAKE_CASE							:   List[Any]      		= {'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_SCREAMING_SNAKE_CASE							:   Optional[Any]      		= ['GLPNFeatureExtractor']
		_SCREAMING_SNAKE_CASE							:   List[str]      		= ['GLPNImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_SCREAMING_SNAKE_CASE							:   str      		= [
		    'GLPN_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'GLPNForDepthEstimation',
		    'GLPNLayer',
		    'GLPNModel',
		    'GLPNPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_glpn import GLPNFeatureExtractor
				from .image_processing_glpn import GLPNImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_glpn import (
				    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
				    GLPNForDepthEstimation,
				    GLPNLayer,
				    GLPNModel,
				    GLPNPreTrainedModel,
				)


else:
		import sys

		_SCREAMING_SNAKE_CASE							:   Optional[Any]      		= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





def       A	(    _lowercase		,  _lowercase						):
						SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							len(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Any							=							len(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Optional[int]							=							[[False for _ in range(m + 1						)] for _ in range(n + 1						)]
						SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							True
						for i in range(_lowercase						):
												for j in range(m + 1						):
																		if dp[i][j]:
																								if j < m and a[i].upper() == b[j]:
																														SCREAMING_SNAKE_CASE							:    List[str]							=							True
																								if a[i].islower():
																														SCREAMING_SNAKE_CASE							:    Dict							=							True
						return dp[n][m]


if __name__ == "__main__":
					import doctest

					doctest.testmod()





