



'''simple docstring'''

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


_A				:    Dict     						=logging.get_logger(__name__)

_A				:    Dict     						={
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}



class 		lowerCamelCase__      (						A     ):




					'''simple docstring'''



					A_						    =						"""megatron-bert"""




					def __init__(  self				:	int     ,  UpperCamelCase_				:	int=2_9056     ,  UpperCamelCase_				:	Optional[int]=1024     ,  UpperCamelCase_				:	Optional[Any]=24     ,  UpperCamelCase_				:	List[Any]=16     ,  UpperCamelCase_				:	Optional[int]=4096     ,  UpperCamelCase_				:	Optional[Any]="gelu"     ,  UpperCamelCase_				:	List[Any]=0.1     ,  UpperCamelCase_				:	Union[str, Any]=0.1     ,  UpperCamelCase_				:	int=512     ,  UpperCamelCase_				:	Dict=2     ,  UpperCamelCase_				:	Union[str, Any]=0.02     ,  UpperCamelCase_				:	Any=1E-12     ,  UpperCamelCase_				:	Tuple=0     ,  UpperCamelCase_				:	Optional[int]="absolute"     ,  UpperCamelCase_				:	Optional[Any]=True     ,  **UpperCamelCase_				:	Any     ,  )  ->       List[Any]:



						'''simple docstring'''





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

						_lowercase					:       Dict       =		vocab_size
						_lowercase					:       Any       =		hidden_size
						_lowercase					:       Union[str, Any]       =		num_hidden_layers
						_lowercase					:       Dict       =		num_attention_heads
						_lowercase					:       Dict       =		hidden_act
						_lowercase					:       Optional[Any]       =		intermediate_size
						_lowercase					:       Optional[int]       =		hidden_dropout_prob
						_lowercase					:       Optional[Any]       =		attention_probs_dropout_prob
						_lowercase					:       Any       =		max_position_embeddings
						_lowercase					:       str       =		type_vocab_size
						_lowercase					:       Optional[Any]       =		initializer_range
						_lowercase					:       List[str]       =		layer_norm_eps
						_lowercase					:       List[Any]       =		position_embedding_type
						_lowercase					:       Optional[Any]       =		use_cache





'''simple docstring'''

import unittest

from knapsack import greedy_knapsack as kp



class 		lowerCamelCase__      (						unittest.TestCase     ):




					'''simple docstring'''



					def 						__UpperCAmelCase     (  self				:	int					)  ->       Any:



						'''simple docstring'''





						_lowercase					:       List[Any]       =		[10, 20, 30, 40, 50, 60]
						_lowercase					:       Tuple       =		[2, 4, 6, 8, 10, 12]
						_lowercase					:       Optional[Any]       =		100
						self.assertEqual(kp.calc_profit(UpperCamelCase_     ,  UpperCamelCase_     ,  UpperCamelCase_					)     ,  210					)




					def 						__UpperCAmelCase     (  self				:	int					)  ->       int:



						'''simple docstring'''





						self.assertRaisesRegex(UpperCamelCase_     ,  'max_weight must greater than zero.'					)




					def 						__UpperCAmelCase     (  self				:	Dict					)  ->       Optional[Any]:



						'''simple docstring'''





						self.assertRaisesRegex(UpperCamelCase_     ,  'Weight can not be negative.'					)




					def 						__UpperCAmelCase     (  self				:	List[Any]					)  ->       Optional[Any]:



						'''simple docstring'''





						self.assertRaisesRegex(UpperCamelCase_     ,  'Profit can not be negative.'					)




					def 						__UpperCAmelCase     (  self				:	int					)  ->       List[str]:



						'''simple docstring'''





						self.assertRaisesRegex(UpperCamelCase_     ,  'max_weight must greater than zero.'					)




					def 						__UpperCAmelCase     (  self				:	int					)  ->       List[Any]:



						'''simple docstring'''





						self.assertRaisesRegex(
						    UpperCamelCase_     ,  'The length of profit and weight must be same.'					)


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