




"""simple docstring"""

import unittest
from timeit import timeit




def    snake_case__						(							lowerCAmelCase :		int					,       lowerCAmelCase :		int		):
					__snake_case        =						first_num if first_num >= second_num else second_num
					__snake_case        =						max_num
					while (common_mult % first_num > 0) or (common_mult % second_num > 0):
										common_mult += max_num
					return common_mult




def    snake_case__						(							lowerCAmelCase :		int					,       lowerCAmelCase :		int		):
					return b if a == 0 else greatest_common_divisor(b % a					,       lowerCAmelCase		)




def    snake_case__						(							lowerCAmelCase :		int					,       lowerCAmelCase :		int		):
					return first_num // greatest_common_divisor(lowerCAmelCase					,       lowerCAmelCase		) * second_num




def    snake_case__						(							):
					__snake_case        =						(
					    """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      A__   (   unittest.TestCase  ):
	A_				:					str      =   (
	    (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_				:					List[str]      =   (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	:						Optional[Any]						)       ->			Tuple:
						for i, (first_num, second_num) in enumerate(self.test_inputs						):
											__snake_case        =						least_common_multiple_slow(lowercase   ,     lowercase						)
											__snake_case        =						least_common_multiple_fast(lowercase   ,     lowercase						)
											with self.subTest(i=lowercase						):
																self.assertEqual(lowercase   ,     self.expected_results[i]						)
																self.assertEqual(lowercase   ,     self.expected_results[i]						)


if __name__ == "__main__":
		benchmark()
		unittest.main()








"""simple docstring"""

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__			:     List[Any]			       =				logging.get_logger(__name__)

UpperCamelCase__			:     List[str]			       =				{}
class      A__   (   lowercase_  ):
	A_				:					Dict      =   """fsmt_decoder"""




	def __init__( self	:						List[Any]   ,     lowercase	:						Any=0   ,     lowercase	:						Dict=0						)       ->			str:
						super().__init__()
						__snake_case        =						vocab_size
						__snake_case        =						bos_token_id

class      A__   (   lowercase_  ):
	A_				:					Union[str, Any]      =   """fsmt"""
	A_				:					int      =   {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}




	def __init__( self	:						Optional[Any]   ,     lowercase	:						Any=["en", "de"]   ,     lowercase	:						Optional[int]=42_024   ,     lowercase	:						Optional[int]=42_024   ,     lowercase	:						Tuple="relu"   ,     lowercase	:						Tuple=1_024   ,     lowercase	:						Union[str, Any]=200   ,     lowercase	:						List[str]=1_024   ,     lowercase	:						Tuple=4_096   ,     lowercase	:						int=12   ,     lowercase	:						Any=16   ,     lowercase	:						List[Any]=0.0   ,     lowercase	:						str=4_096   ,     lowercase	:						str=12   ,     lowercase	:						Optional[int]=16   ,     lowercase	:						Dict=0.0   ,     lowercase	:						Any=0.0   ,     lowercase	:						Union[str, Any]=0.1   ,     lowercase	:						Tuple=0.0   ,     lowercase	:						List[str]=0.02   ,     lowercase	:						int=2   ,     lowercase	:						Any=True   ,     lowercase	:						int=True   ,     lowercase	:						int=False   ,     lowercase	:						List[str]=5   ,     lowercase	:						List[Any]=1.0   ,     lowercase	:						Union[str, Any]=False   ,     lowercase	:						Optional[Any]=True   ,     lowercase	:						int=1   ,     lowercase	:						Any=0   ,     lowercase	:						Optional[Any]=2   ,     lowercase	:						Any=2   ,     **lowercase	:						List[Any]   ,     )       ->			Union[str, Any]:
						__snake_case        =						langs
						__snake_case        =						src_vocab_size
						__snake_case        =						tgt_vocab_size
						__snake_case        =						d_model  # encoder_embed_dim and decoder_embed_dim

						__snake_case        =						encoder_ffn_dim
						__snake_case        =						__snake_case        =						encoder_layers
						__snake_case        =						encoder_attention_heads
						__snake_case        =						encoder_layerdrop
						__snake_case        =						decoder_layerdrop
						__snake_case        =						decoder_ffn_dim
						__snake_case        =						decoder_layers
						__snake_case        =						decoder_attention_heads
						__snake_case        =						max_position_embeddings
						__snake_case        =						init_std  # Normal(0, this parameter)
						__snake_case        =						activation_function

						__snake_case        =						DecoderConfig(vocab_size=lowercase   ,     bos_token_id=lowercase						)
						if "decoder" in common_kwargs:
											del common_kwargs["decoder"]

						__snake_case        =						scale_embedding  # scale factor will be sqrt(d_model) if True

						# 3 Types of Dropout
						__snake_case        =						attention_dropout
						__snake_case        =						activation_dropout
						__snake_case        =						dropout

						__snake_case        =						use_cache
						super().__init__(
						    pad_token_id=lowercase   ,     bos_token_id=lowercase   ,     eos_token_id=lowercase   ,     decoder_start_token_id=lowercase   ,     is_encoder_decoder=lowercase   ,     tie_word_embeddings=lowercase   ,     forced_eos_token_id=lowercase   ,     max_length=lowercase   ,     num_beams=lowercase   ,     length_penalty=lowercase   ,     early_stopping=lowercase   ,     **lowercase   ,     )




	def 				a_		( self	:						Union[str, Any]						)       ->			Dict:
						__snake_case        =						copy.deepcopy(self.__dict__						)
						__snake_case        =						self.decoder.to_dict()
						__snake_case        =						self.__class__.model_type
						return output


