






def   a      (						lowerCamelCase_		,       lowerCamelCase_    ):






				'''simple docstring'''
				# The longer word should come first
				if len(lowerCamelCase_    ) < len(lowerCamelCase_    ):
								return levenshtein_distance(lowerCamelCase_		,       lowerCamelCase_    )

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

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

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

								for j, ca in enumerate(lowerCamelCase_    ):
												# 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(lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_    )    )

								# Store the previous row
								lowercase__       			=      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__     :      List[Any]             =			levenshtein_distance(first_word, second_word)
							print(F"Levenshtein distance between {first_word} and {second_word} is {result}")












import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin
class 				_UpperCAmelCase (	unittest.TestCase		,A__     ):

				"""simple docstring"""




				def     lowercase__       (					self						:   str  ):

								'''simple docstring'''
								lowercase__       			=      load_tool('''document-question-answering'''  )
								self.tool.setup()
								lowercase__       			=      load_tool('''document-question-answering''',  remote=lowerCamelCase  )




				def     lowercase__       (					self						:   List[Any]  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

								lowercase__       			=      self.tool(lowerCamelCase,  '''When is the coffee break?'''  )
								self.assertEqual(lowerCamelCase,  '''11-14 to 11:39 a.m.'''  )




				def     lowercase__       (					self						:   Optional[Any]  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

								lowercase__       			=      self.remote_tool(lowerCamelCase,  '''When is the coffee break?'''  )
								self.assertEqual(lowerCamelCase,  '''11-14 to 11:39 a.m.'''  )




				def     lowercase__       (					self						:   Any  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

								self.tool(document=lowerCamelCase,  question='''When is the coffee break?'''  )




				def     lowercase__       (					self						:   Tuple  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

								lowercase__       			=      self.remote_tool(document=lowerCamelCase,  question='''When is the coffee break?'''  )
								self.assertEqual(lowerCamelCase,  '''11-14 to 11:39 a.m.'''  )




