


"""simple docstring"""


def   snake_case		(     UpperCamelCase__       :						str			,				UpperCamelCase__       :						str    )   ->      str:

      if not (isinstance(UpperCamelCase__			,				UpperCamelCase__    ) and isinstance(UpperCamelCase__			,				UpperCamelCase__    )):
            raise ValueError("""longest_common_substring() takes two strings for inputs"""    )

      lowerCamelCase					:					Union[str, Any]        =	len(UpperCamelCase__    )
      lowerCamelCase					:					int        =	len(UpperCamelCase__    )

      lowerCamelCase					:					Union[str, Any]        =	[[0] * (texta_length + 1) for _ in range(texta_length + 1    )]
      lowerCamelCase					:					int        =	0
      lowerCamelCase					:					int        =	0

      for i in range(1			,				texta_length + 1    ):
            for j in range(1			,				texta_length + 1    ):
                  if texta[i - 1] == texta[j - 1]:
                        lowerCamelCase					:					Union[str, Any]        =	1 + dp[i - 1][j - 1]
                        if dp[i][j] > ans_length:
                              lowerCamelCase					:					int        =	i
                              lowerCamelCase					:					Dict        =	dp[i][j]

      return texta[ans_index - ans_length : ans_index]


if __name__ == "__main__":
    import doctest

    doctest.testmod()








"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


__lowerCamelCase      :str	    =		{}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase      :Optional[Any]	    =		['GPTSw3Tokenizer']


if TYPE_CHECKING:
    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_gpt_swa import GPTSwaTokenizer

else:
    import sys

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




