




def    A						(__A   :    str   ,				__A   :    str       )   ->      Tuple:







     """simple docstring"""


     assert x is not None
     assert y is not None

     UpperCAmelCase_          =							len(__A       )
     UpperCAmelCase_          =							len(__A       )

     # declaring the array for storing the dp values
     UpperCAmelCase_          =							[[0] * (n + 1) for _ in range(m + 1       )]  # noqa: E741

     for i in range(1   ,				m + 1       ):
          for j in range(1   ,				n + 1       ):
               UpperCAmelCase_          =							1 if x[i - 1] == y[j - 1] else 0

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

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

          if l[i][j] == l[i - 1][j - 1] + match:
               if match == 1:
                    UpperCAmelCase_          =							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__":
    snake_case_ : List[str]    		=       "AGGTAB"
    snake_case_ : List[Any]    		=       "GXTXAYB"
    snake_case_ : str    		=       4
    snake_case_ : str    		=       "GTAB"

    snake_case_		,       snake_case_ : Union[str, Any]    		=       longest_common_subsequence(a, b)
    print("len =", ln, ", sub-sequence =", subseq)
    import doctest

    doctest.testmod()








import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


_UpperCAmelCase					: Optional[int]      =       HUGGINGFACE_HUB_CACHE


_UpperCAmelCase					: List[str]      =       "config.json"
_UpperCAmelCase					: Union[str, Any]      =       "diffusion_pytorch_model.bin"
_UpperCAmelCase					: List[Any]      =       "diffusion_flax_model.msgpack"
_UpperCAmelCase					: Optional[Any]      =       "model.onnx"
_UpperCAmelCase					: int      =       "diffusion_pytorch_model.safetensors"
_UpperCAmelCase					: Optional[Any]      =       "weights.pb"
_UpperCAmelCase					: Tuple      =       "https://huggingface.co"
_UpperCAmelCase					: Union[str, Any]      =       default_cache_path
_UpperCAmelCase					: Optional[Any]      =       "diffusers_modules"
_UpperCAmelCase					: List[Any]      =       os.getenv("HF_MODULES_CACHE", os.path.join(hf_cache_home, "modules"))
_UpperCAmelCase					: Tuple      =       ["fp16", "non-ema"]
_UpperCAmelCase					: Any      =       ".self_attn"
