


"""simple docstring"""







from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__      				=   logging.get_logger(__name__)

lowerCAmelCase__      				=   {'''ctrl''': '''https://huggingface.co/ctrl/resolve/main/config.json'''}


class       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       a  :				Optional[int]   ="ctrl"
       a  :				Dict   =["past_key_values"]
       a  :				Any   ={
           "max_position_embeddings": "n_positions",
           "hidden_size": "n_embd",
           "num_attention_heads": "n_head",
           "num_hidden_layers": "n_layer",
       }

       def __init__(						self		,     snake_case__=246_534		,     snake_case__=256		,     snake_case__=1_280		,     snake_case__=8_192		,     snake_case__=48		,     snake_case__=16		,     snake_case__=0.1		,     snake_case__=0.1		,     snake_case__=1e-6		,     snake_case__=0.02		,     snake_case__=True		,     **snake_case__		,     ):






         """simple docstring"""





         lowerCAmelCase     :     str								=							vocab_size
         lowerCAmelCase     :     str								=							n_positions
         lowerCAmelCase     :     Dict								=							n_embd
         lowerCAmelCase     :     List[Any]								=							n_layer
         lowerCAmelCase     :     Tuple								=							n_head
         lowerCAmelCase     :     Optional[Any]								=							dff
         lowerCAmelCase     :     List[str]								=							resid_pdrop
         lowerCAmelCase     :     List[str]								=							embd_pdrop
         lowerCAmelCase     :     Union[str, Any]								=							layer_norm_epsilon
         lowerCAmelCase     :     Dict								=							initializer_range

         lowerCAmelCase     :     Union[str, Any]								=							use_cache

         super().__init__(**snake_case__						)






"""simple docstring"""






import functools



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							len(lowerCamelCase       )
				UpperCAmelCase__             =							len(lowerCamelCase       )

				@functools.cache
				def min_distance(lowerCamelCase					,			lowerCamelCase       ) -> int:
								# if first word index is overflow - delete all from the second word
								if indexa >= len_worda:
												return len_worda - indexa
								# if second word index is overflow - delete all from the first word
								if indexa >= len_worda:
												return len_worda - indexa
								UpperCAmelCase__             =							int(worda[indexa] != worda[indexa]       )  # current letters not identical
								return min(
								    1 + min_distance(indexa + 1					,			lowerCamelCase       )					,			1 + min_distance(lowerCamelCase					,			indexa + 1       )					,			diff + min_distance(indexa + 1					,			indexa + 1       )					,			)

				return min_distance(0					,			0       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()



