

def 							__SCREAMING_SNAKE_CASE     (   a__    :   str       )					->				int:
	__A :			Optional[Any]		    =			[0] * len(a__       )

	for i in range(1			,len(a__       )       ):
		# use last results for better performance - dynamic programming
		__A :			Dict		    =			prefix_result[i - 1]
		while j > 0 and input_string[i] != input_string[j]:
			__A :			str		    =			prefix_result[j - 1]

		if input_string[i] == input_string[j]:
			j += 1
		__A :			Union[str, Any]		    =			j

	return prefix_result
def 							__SCREAMING_SNAKE_CASE     (   a__    :   str       )					->				int:
	return max(prefix_function(a__       )       )


if __name__ == "__main__":
			import doctest

			doctest.testmod()







'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowerCAmelCase					:    Optional[Any]           = {
    'configuration_falcon': ['FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP', 'FalconConfig'],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase					:    str           = [
						    'FALCON_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'FalconForCausalLM',
						    'FalconModel',
						    'FalconPreTrainedModel',
						    'FalconForSequenceClassification',
						    'FalconForTokenClassification',
						    'FalconForQuestionAnswering',
						]


if TYPE_CHECKING:
						from .configuration_falcon import FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP, FalconConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_falcon import (
												    FALCON_PRETRAINED_MODEL_ARCHIVE_LIST,
												    FalconForCausalLM,
												    FalconForQuestionAnswering,
												    FalconForSequenceClassification,
												    FalconForTokenClassification,
												    FalconModel,
												    FalconPreTrainedModel,
												)


else:
						import sys

						lowerCAmelCase					:    Tuple           = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




