


def 				UpperCamelCase      (			__magic_name__  :							str					,					__magic_name__  :							str  )     ->						int:
		"""simple docstring"""




		if len(__magic_name__  ) < len(__magic_name__  ):
				return levenshtein_distance(__magic_name__					,					__magic_name__  )

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

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

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

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

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

				# Store the previous row
				lowercase__      =	current_row

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


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

	A :	Dict												=     levenshtein_distance(first_word, second_word)
	print(F'Levenshtein distance between {first_word} and {second_word} is {result}')





from typing import TYPE_CHECKING

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


A :	int												=     {
    'configuration_rwkv': ['RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RwkvConfig', 'RwkvOnnxConfig'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A :	List[Any]												=     [
	    'RWKV_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'RwkvForCausalLM',
	    'RwkvModel',
	    'RwkvPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_rwkv import RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP, RwkvConfig, RwkvOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_rwkv import (
		    RWKV_PRETRAINED_MODEL_ARCHIVE_LIST,
		    RwkvForCausalLM,
		    RwkvModel,
		    RwkvPreTrainedModel,
		)
else:
	import sys

	A :	Optional[int]												=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

