code: 
  
  
  
  
  
  import unittest
  from timeit import timeit
  
  
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__       ,lowerCAmelCase__	):
  		lowerCamelCase_  :    Any   	=			first_num if first_num >= second_num else second_num
  		lowerCamelCase_  :    Dict   	=			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    (   lowerCAmelCase__       ,lowerCAmelCase__	):
  		return b if a == 0 else greatest_common_divisor(b % a       ,lowerCAmelCase__	)
  
  
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__       ,lowerCAmelCase__	):
  		return first_num // greatest_common_divisor(lowerCAmelCase__       ,lowerCAmelCase__	) * second_num
  
  
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		lowerCamelCase_  :    Optional[int]   	=			(
  		    'from __main__ import least_common_multiple_slow, least_common_multiple_fast'
  		)
  		print(
  		    'least_common_multiple_slow():'       ,timeit('least_common_multiple_slow(1000, 999)'       ,setup=lowerCAmelCase__	)       ,)
  		print(
  		    'least_common_multiple_fast():'       ,timeit('least_common_multiple_fast(1000, 999)'       ,setup=lowerCAmelCase__	)       ,)
  
  
  
  
  
  
  class 	UpperCamelCase_     (     unittest.TestCase       ):
  					_a			:	Optional[int]							=				(
  					    (1_0, 2_0),
  					    (1_3, 1_5),
  					    (4, 3_1),
  					    (1_0, 4_2),
  					    (4_3, 3_4),
  					    (5, 1_2),
  					    (1_2, 2_5),
  					    (1_0, 2_5),
  					    (6, 9),
  					)
  					_a			:	Optional[int]							=				(2_0, 1_9_5, 1_2_4, 2_1_0, 1_4_6_2, 6_0, 3_0_0, 5_0, 1_8)
  
  
  
  					def      __a    (		self    :    Any	):
  							for i, (first_num, second_num) in enumerate(self.test_inputs	):
  									lowerCamelCase_  :    str   	=			least_common_multiple_slow(lowerCamelCase					,			lowerCamelCase	)
  									lowerCamelCase_  :    Dict   	=			least_common_multiple_fast(lowerCamelCase					,			lowerCamelCase	)
  									with self.subTest(i=lowerCamelCase	):
  											self.assertEqual(lowerCamelCase					,			self.expected_results[i]	)
  											self.assertEqual(lowerCamelCase					,			self.expected_results[i]	)
  
  
  if __name__ == "__main__":
  		benchmark()
  		unittest.main()
  
style_context: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_sentencepiece_available,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  _lowercase		:     int 					={
      """configuration_marian""": ["""MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarianConfig""", """MarianOnnxConfig"""],
  }
  
  try:
  		if not is_sentencepiece_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Any 					=["""MarianTokenizer"""]
  
  try:
  		if not is_torch_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Any 					=[
  		    """MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST""",
  		    """MarianForCausalLM""",
  		    """MarianModel""",
  		    """MarianMTModel""",
  		    """MarianPreTrainedModel""",
  		]
  
  try:
  		if not is_tf_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Dict 					=["""TFMarianModel""", """TFMarianMTModel""", """TFMarianPreTrainedModel"""]
  
  try:
  		if not is_flax_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Optional[Any] 					=["""FlaxMarianModel""", """FlaxMarianMTModel""", """FlaxMarianPreTrainedModel"""]
  
  if TYPE_CHECKING:
  		from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig
  
  		try:
  				if not is_sentencepiece_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .tokenization_marian import MarianTokenizer
  
  		try:
  				if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_marian import (
  				    MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
  				    MarianForCausalLM,
  				    MarianModel,
  				    MarianMTModel,
  				    MarianPreTrainedModel,
  				)
  
  		try:
  				if not is_tf_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel
  
  		try:
  				if not is_flax_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel
  
  else:
  		import sys
  
  		_lowercase		:     List[str] 					=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  