



def 				A			(		__UpperCAmelCase							,					__UpperCAmelCase	)       ->       int:



						'''simple docstring'''






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

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

						UpperCAmelCase_     							=     list(range(len(__UpperCAmelCase	) + 1	)	)

						for i, ca in enumerate(__UpperCAmelCase	):
												UpperCAmelCase_     							=     [i + 1]

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

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

												# Store the previous row
												UpperCAmelCase_     							=     current_row

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


if __name__ == "__main__":
							UpperCamelCase_	       =   input("Enter the first word:\n").strip()
							UpperCamelCase_	       =   input("Enter the second word:\n").strip()

							UpperCamelCase_	       =   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, is_vision_available


UpperCamelCase_	       =   {"configuration_vit_hybrid": ["VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTHybridConfig"]}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_	       =   [
							    "VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "ViTHybridForImageClassification",
							    "ViTHybridModel",
							    "ViTHybridPreTrainedModel",
							]

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_	       =   ["ViTHybridImageProcessor"]


if TYPE_CHECKING:
							from .configuration_vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vit_hybrid import (
														    VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ViTHybridForImageClassification,
														    ViTHybridModel,
														    ViTHybridPreTrainedModel,
														)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_vit_hybrid import ViTHybridImageProcessor


else:
							import sys

							UpperCamelCase_	       =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





