code: 
  
  
  
  
  
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__       ,lowerCAmelCase__	):
  		# The longer word should come first
  		if len(lowerCAmelCase__	) < len(lowerCAmelCase__	):
  				return levenshtein_distance(lowerCAmelCase__       ,lowerCAmelCase__	)
  
  		if len(lowerCAmelCase__	) == 0:
  				return len(lowerCAmelCase__	)
  
  		lowerCamelCase_  :    Optional[int]   	=			list(range(len(lowerCAmelCase__	) + 1	)	)
  
  		for i, ca in enumerate(lowerCAmelCase__	):
  				lowerCamelCase_  :    Union[str, Any]   	=			[i + 1]
  
  				for j, ca in enumerate(lowerCAmelCase__	):
  						# Calculate insertions, deletions and substitutions
  						lowerCamelCase_  :    Any   	=			previous_row[j + 1] + 1
  						lowerCamelCase_  :    List[Any]   	=			current_row[j] + 1
  						lowerCamelCase_  :    Dict   	=			previous_row[j] + (ca != ca)
  
  						# Get the minimum to append to the current row
  						current_row.append(min(lowerCAmelCase__       ,lowerCAmelCase__       ,lowerCAmelCase__	)	)
  
  				# Store the previous row
  				lowerCamelCase_  :    Optional[int]   	=			current_row
  
  		# Returns the last element (distance)
  		return previous_row[-1]
  
  
  if __name__ == "__main__":
  		_lowercase		:     Optional[int] 					=input("""Enter the first word:\n""").strip()
  		_lowercase		:     List[str] 					=input("""Enter the second word:\n""").strip()
  
  		_lowercase		:     Optional[int] 					=levenshtein_distance(first_word, second_word)
  		print(F'''Levenshtein distance between {first_word} and {second_word} is {result}''')
  
style_context: 
  
  
  
  
  
  import os
  import unittest
  
  import pytest
  from parameterized import parameterized
  
  from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
  
  
  # skipping in unittest tests
  
  _lowercase		:     Optional[Any] 					=[(1,)]
  
  
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		lowerCamelCase_  :    Union[str, Any]   	=			bool(os.getenv('RUN_SLOW'       ,0	)	)
  		if run_slow:
  				assert True
  		else:
  				assert False, "should have been skipped"
  
  
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		lowerCamelCase_  :    List[str]   	=			bool(os.getenv('RUN_SLOW'       ,0	)	)
  		if run_slow and torch_device == "cuda":
  				assert True
  		else:
  				assert False, "should have been skipped"
  
  
  
  
  
  
  @require_torch
  class 	UpperCamelCase_     (     unittest.TestCase       ):
  
  
  
  					@slow
  					@require_torch_gpu
  					def      __a    (		self    :    Tuple	):
  							check_slow_torch_cuda()
  
  
  
  					@require_torch_gpu
  					@slow
  					def      __a    (		self    :    Optional[int]	):
  							check_slow_torch_cuda()
  
  
  
  
  
  					@parameterized.expand(lowerCamelCase	)
  					@slow
  					def      __a    (		self    :    List[str]					,			lowerCamelCase    :    Optional[Any]=None	):
  							check_slow()
  
  
  @slow
  @require_torch_gpu
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		check_slow_torch_cuda()
  
  
  @require_torch_gpu
  @slow
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		check_slow_torch_cuda()
  
  
  @slow
  @pytest.mark.parametrize('param'       ,[1]	)
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__	):
  		check_slow()
  
  
  
  
  
  @pytest.mark.parametrize('param'       ,[1]	)
  @slow
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__	):
  		check_slow()
  