




"""simple docstring"""







def 							lowercase					(snake_case__   : str      ,       snake_case__   : str )     ->  bool:


				'''simple docstring'''






				lowerCAmelCase  =				len(snake_case__ )
				lowerCAmelCase  =				len(snake_case__ )
				lowerCAmelCase  =				[[False for _ in range(m + 1 )] for _ in range(n + 1 )]
				lowerCAmelCase  =				True
				for i in range(snake_case__ ):
								for j in range(m + 1 ):
												if dp[i][j]:
																if j < m and a[i].upper() == b[j]:
																				lowerCAmelCase  =				True
																if a[i].islower():
																				lowerCAmelCase  =				True
				return dp[n][m]


if __name__ == "__main__":
		import doctest

		doctest.testmod()











"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a      =							{
    'configuration_time_series_transformer': [
        'TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TimeSeriesTransformerConfig',
    ],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a      =							[
		    'TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'TimeSeriesTransformerForPrediction',
		    'TimeSeriesTransformerModel',
		    'TimeSeriesTransformerPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_time_series_transformer import (
		    TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    TimeSeriesTransformerConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_time_series_transformer import (
				    TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TimeSeriesTransformerForPrediction,
				    TimeSeriesTransformerModel,
				    TimeSeriesTransformerPreTrainedModel,
				)

else:
		import sys

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





