code: 
  def 						lowerCAmelCase_		(      _snake_case   :						List[str]   ,     _snake_case   :						int     )       ->	int:
  
  
  
  
  
  
  
  	'''simple docstring'''
  
  
  	if len(_snake_case     ) < len(_snake_case     ):
  		return levenshtein_distance(_snake_case   ,     _snake_case     )
  
  	if len(_snake_case     ) == 0:
  		return len(_snake_case     )
  
  	__magic_name__	:	int			     =  list(range(len(_snake_case     ) + 1     )     )
  
  	for i, ca in enumerate(_snake_case     ):
  		__magic_name__	:	int			     =  [i + 1]
  
  		for j, ca in enumerate(_snake_case     ):
  			# Calculate insertions, deletions and substitutions
  			__magic_name__	:	Tuple			     =  previous_row[j + 1] + 1
  			__magic_name__	:	Dict			     =  current_row[j] + 1
  			__magic_name__	:	str			     =  previous_row[j] + (ca != ca)
  
  			# Get the minimum to append to the current row
  			current_row.append(min(_snake_case   ,     _snake_case   ,     _snake_case     )     )
  
  		# Store the previous row
  		__magic_name__	:	Optional[Any]			     =  current_row
  
  	# Returns the last element (distance)
  	return previous_row[-1]
  
  
  if __name__ == "__main__":
  				snake_case				:	Any							   =						input("Enter the first word:\n").strip()
  				snake_case				:	Tuple							   =						input("Enter the second word:\n").strip()
  
  				snake_case				:	Dict							   =						levenshtein_distance(first_word, second_word)
  				print(F"Levenshtein distance between {first_word} and {second_word} is {result}")
  
style_context: 
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
      is_vision_available,
  )
  
  
  snake_case				:	Optional[int]							   =						{
      "configuration_mobilevitv2": [
          "MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
          "MobileViTV2Config",
          "MobileViTV2OnnxConfig",
      ],
  }
  
  
  try:
  				if not is_torch_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				snake_case				:	Optional[int]							   =						[
  				    "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
  				    "MobileViTV2ForImageClassification",
  				    "MobileViTV2ForSemanticSegmentation",
  				    "MobileViTV2Model",
  				    "MobileViTV2PreTrainedModel",
  				]
  
  if TYPE_CHECKING:
  				from .configuration_mobilevitva import (
  				    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
  				    MobileViTVaConfig,
  				    MobileViTVaOnnxConfig,
  				)
  
  				try:
  								if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .modeling_mobilevitva import (
  								    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
  								    MobileViTVaForImageClassification,
  								    MobileViTVaForSemanticSegmentation,
  								    MobileViTVaModel,
  								    MobileViTVaPreTrainedModel,
  								)
  
  else:
  				import sys
  
  				snake_case				:	Tuple							   =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  