
import unittest
from timeit import timeit




def 							__SCREAMING_SNAKE_CASE       (		SCREAMING_SNAKE_CASE	:				int   ,							SCREAMING_SNAKE_CASE	:				int      )					->						int:
				__lowercase								= first_num if first_num >= second_num else second_num
				__lowercase								= 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       (		SCREAMING_SNAKE_CASE	:				int   ,							SCREAMING_SNAKE_CASE	:				int      )					->						int:
				return b if a == 0 else greatest_common_divisor(b % a   ,							SCREAMING_SNAKE_CASE      )




def 							__SCREAMING_SNAKE_CASE       (		SCREAMING_SNAKE_CASE	:				int   ,							SCREAMING_SNAKE_CASE	:				int      )					->						int:
				return first_num // greatest_common_divisor(SCREAMING_SNAKE_CASE   ,							SCREAMING_SNAKE_CASE      ) * second_num




def 							__SCREAMING_SNAKE_CASE       (		)					->						str:
				__lowercase								= (
				    'from __main__ import least_common_multiple_slow, least_common_multiple_fast'
				)
				print(
				    'least_common_multiple_slow():'   ,							timeit('least_common_multiple_slow(1000, 999)'   ,							setup=SCREAMING_SNAKE_CASE      )   ,							)
				print(
				    'least_common_multiple_fast():'   ,							timeit('least_common_multiple_fast(1000, 999)'   ,							setup=SCREAMING_SNAKE_CASE      )   ,							)
class      A__       (						unittest.TestCase    ):
							lowerCAmelCase__		:						int         =							(
							    (10, 20),
							    (13, 15),
							    (4, 31),
							    (10, 42),
							    (43, 34),
							    (5, 12),
							    (12, 25),
							    (10, 25),
							    (6, 9),
							)
							lowerCAmelCase__		:						int         =							(20, 195, 124, 210, 1462, 60, 300, 50, 18)





							def       a__			(			self  :       Union[str, Any]    )						->		Optional[Any]:



											"""simple docstring"""


											for i, (first_num, second_num) in enumerate(self.test_inputs    ):
															__lowercase								= least_common_multiple_slow(lowercase_					,			lowercase_    )
															__lowercase								= 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()



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__							=    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__							=    {
    """squeezebert/squeezebert-uncased""": (
        """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json"""
    ),
    """squeezebert/squeezebert-mnli""": """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json""",
    """squeezebert/squeezebert-mnli-headless""": (
        """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json"""
    ),
}
class      A__       (						lowerCAmelCase__    ):
							lowerCAmelCase__		:						Tuple         =							SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
							lowerCAmelCase__		:						Optional[int]         =							"squeezebert"





							def __init__(			self  :       List[str]					,			_UpperCAmelCase  :       int=3_05_22					,			_UpperCAmelCase  :       Any=7_68					,			_UpperCAmelCase  :       Tuple=12					,			_UpperCAmelCase  :       Union[str, Any]=12					,			_UpperCAmelCase  :       Union[str, Any]=30_72					,			_UpperCAmelCase  :       Optional[Any]="gelu"					,			_UpperCAmelCase  :       Optional[int]=0.1					,			_UpperCAmelCase  :       Any=0.1					,			_UpperCAmelCase  :       Union[str, Any]=5_12					,			_UpperCAmelCase  :       int=2					,			_UpperCAmelCase  :       Dict=0.02					,			_UpperCAmelCase  :       str=1e-1_2					,			_UpperCAmelCase  :       Dict=0					,			_UpperCAmelCase  :       str=7_68					,			_UpperCAmelCase  :       Tuple=4					,			_UpperCAmelCase  :       Union[str, Any]=4					,			_UpperCAmelCase  :       Tuple=4					,			_UpperCAmelCase  :       Any=1					,			_UpperCAmelCase  :       List[Any]=4					,			_UpperCAmelCase  :       List[str]=4					,			**_UpperCAmelCase  :       Dict					,			)						->		Any:



											"""simple docstring"""


											super().__init__(pad_token_id=_UpperCAmelCase					,			**_UpperCAmelCase    )

											__lowercase								= vocab_size
											__lowercase								= hidden_size
											__lowercase								= num_hidden_layers
											__lowercase								= num_attention_heads
											__lowercase								= hidden_act
											__lowercase								= intermediate_size
											__lowercase								= hidden_dropout_prob
											__lowercase								= attention_probs_dropout_prob
											__lowercase								= max_position_embeddings
											__lowercase								= type_vocab_size
											__lowercase								= initializer_range
											__lowercase								= layer_norm_eps
											__lowercase								= embedding_size
											__lowercase								= q_groups
											__lowercase								= k_groups
											__lowercase								= v_groups
											__lowercase								= post_attention_groups
											__lowercase								= intermediate_groups
											__lowercase								= output_groups






class      A__       (						lowerCAmelCase__    ):





							@property
							def       a__			(			self  :       Any    )						->		Mapping[str, Mapping[int, str]]:



											"""simple docstring"""


											if self.task == "multiple-choice":
															__lowercase								= {0: 'batch', 1: 'choice', 2: 'sequence'}
											else:
															__lowercase								= {0: 'batch', 1: 'sequence'}
											return OrderedDict(
											    [
											        ('input_ids', dynamic_axis),
											        ('attention_mask', dynamic_axis),
											        ('token_type_ids', dynamic_axis),
											    ]    )





