

"""simple docstring"""




def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__ ):
					"""simple docstring"""
					# The longer word should come first
					if len(lowercase__ ) < len(lowercase__ ):
										return levenshtein_distance(lowercase__     ,				lowercase__ )

					if len(lowercase__ ) == 0:
										return len(lowercase__ )

					A     =   list(range(len(lowercase__ ) + 1 ) )

					for i, ca in enumerate(lowercase__ ):
										A     =   [i + 1]

										for j, ca in enumerate(lowercase__ ):
															# Calculate insertions, deletions and substitutions
															A     =   previous_row[j + 1] + 1
															A     =   current_row[j] + 1
															A     =   previous_row[j] + (ca != ca)

															# Get the minimum to append to the current row
															current_row.append(min(lowercase__     ,				lowercase__     ,				lowercase__ ) )

										# Store the previous row
										A     =   current_row

					# Returns the last element (distance)
					return previous_row[-1]


if __name__ == "__main__":
	__A	:       int        =						input('Enter the first word:\n').strip()
	__A	:       Optional[Any]        =						input('Enter the second word:\n').strip()

	__A	:       str        =						levenshtein_distance(first_word, second_word)
	print(f"""Levenshtein distance between {first_word} and {second_word} is {result}""")






"""simple docstring"""


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


__UpperCamelCase										=     logging.get_logger(__name__)

__UpperCamelCase										=     {
    '''uw-madison/nystromformer-512''': '''https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json''',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}




class 					UpperCamelCase   (							lowerCAmelCase__  ):
       SCREAMING_SNAKE_CASE_						      = "nystromformer"







       def __init__(					self,				lowerCAmelCase__=3_0000,				lowerCAmelCase__=768,				lowerCAmelCase__=12,				lowerCAmelCase__=12,				lowerCAmelCase__=3072,				lowerCAmelCase__="gelu_new",				lowerCAmelCase__=0.1,				lowerCAmelCase__=0.1,				lowerCAmelCase__=510,				lowerCAmelCase__=2,				lowerCAmelCase__=64,				lowerCAmelCase__=64,				lowerCAmelCase__=65,				lowerCAmelCase__=False,				lowerCAmelCase__=0.02,				lowerCAmelCase__=1e-5,				lowerCAmelCase__=1,				lowerCAmelCase__=0,				lowerCAmelCase__=2,				**lowerCAmelCase__,				) -> Optional[Any]:
            snake_case_   			=   vocab_size
            snake_case_   			=   max_position_embeddings
            snake_case_   			=   hidden_size
            snake_case_   			=   num_hidden_layers
            snake_case_   			=   num_attention_heads
            snake_case_   			=   intermediate_size
            snake_case_   			=   hidden_act
            snake_case_   			=   hidden_dropout_prob
            snake_case_   			=   attention_probs_dropout_prob
            snake_case_   			=   initializer_range
            snake_case_   			=   type_vocab_size
            snake_case_   			=   segment_means_seq_len
            snake_case_   			=   num_landmarks
            snake_case_   			=   conv_kernel_size
            snake_case_   			=   inv_coeff_init_option
            snake_case_   			=   layer_norm_eps
            super().__init__(pad_token_id=lowerCAmelCase__,				bos_token_id=lowerCAmelCase__,				eos_token_id=lowerCAmelCase__,				**lowerCAmelCase__)

