code: 
  
  
  import unittest
  from timeit import timeit
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_,	snake_case_	)			->							int:
  				A__     :							List[str]   				=first_num if first_num >= second_num else second_num
  				A__     :							int   				=max_num
  				while (common_mult % first_num > 0) or (common_mult % second_num > 0):
  								common_mult += max_num
  				return common_mult
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_,	snake_case_	)			->							int:
  				return b if a == 0 else greatest_common_divisor(b % a,	snake_case_	)
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_,	snake_case_	)			->							int:
  				return first_num // greatest_common_divisor(snake_case_,	snake_case_	) * second_num
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							)			->							List[Any]:
  				A__     :							List[Any]   				=(
  				    '''from __main__ import least_common_multiple_slow, least_common_multiple_fast'''
  				)
  				print(
  				    '''least_common_multiple_slow():''',	timeit('''least_common_multiple_slow(1000, 999)''',	setup=snake_case_	),	)
  				print(
  				    '''least_common_multiple_fast():''',	timeit('''least_common_multiple_fast(1000, 999)''',	setup=snake_case_	),	)
  
  
  
  class 			a      (      unittest.TestCase   ):
  		__lowercase													=		(
  		    (10, 20),
  		    (13, 15),
  		    (4, 31),
  		    (10, 42),
  		    (43, 34),
  		    (5, 12),
  		    (12, 25),
  		    (10, 25),
  		    (6, 9),
  		)
  		__lowercase													=		(20, 195, 124, 210, 1_462, 60, 300, 50, 18)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			int:
  						'''simple docstring'''
  
  
  						for i, (first_num, second_num) in enumerate(self.test_inputs							):
  										A__     :							Any   				=least_common_multiple_slow(__UpperCamelCase	,     __UpperCamelCase							)
  										A__     :							Tuple   				=least_common_multiple_fast(__UpperCamelCase	,     __UpperCamelCase							)
  										with self.subTest(i=__UpperCamelCase							):
  														self.assertEqual(__UpperCamelCase	,     self.expected_results[i]							)
  														self.assertEqual(__UpperCamelCase	,     self.expected_results[i]							)
  
  
  if __name__ == "__main__":
  						benchmark()
  						unittest.main()
  
  
  
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
  )
  
  
  __lowerCamelCase       :       str				   =			{
      "configuration_align": [
          "ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP",
          "AlignConfig",
          "AlignTextConfig",
          "AlignVisionConfig",
      ],
      "processing_align": ["AlignProcessor"],
  }
  
  try:
  						if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  						pass
  else:
  						__lowerCamelCase       :       Dict				   =			[
  						    "ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST",
  						    "AlignModel",
  						    "AlignPreTrainedModel",
  						    "AlignTextModel",
  						    "AlignVisionModel",
  						]
  
  if TYPE_CHECKING:
  						from .configuration_align import (
  						    ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
  						    AlignConfig,
  						    AlignTextConfig,
  						    AlignVisionConfig,
  						)
  						from .processing_align import AlignProcessor
  
  						try:
  												if not is_torch_available():
  																		raise OptionalDependencyNotAvailable()
  						except OptionalDependencyNotAvailable:
  												pass
  						else:
  												from .modeling_align import (
  												    ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
  												    AlignModel,
  												    AlignPreTrainedModel,
  												    AlignTextModel,
  												    AlignVisionModel,
  												)
  
  else:
  						import sys
  
  						__lowerCamelCase       :       List[str]				   =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  