
"""simple docstring"""





from typing import Callable, Optional, Union

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


_a														=		logging.get_logger(__name__)

_a														=		{
    """microsoft/xprophetnet-large-wiki100-cased""": (
        """https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json"""
    ),
}






class    _UpperCAmelCase(   __SCREAMING_SNAKE_CASE     ):
		lowercase__      =				'xlm-prophetnet'
		lowercase__      =				['past_key_values']
		lowercase__      =				{
		    'num_attention_heads': 'num_encoder_attention_heads',
		}



		def __init__( self    ,		__a = 0.1    ,		__a = "gelu"    ,		__a = 3_05_22    ,		__a = 10_24    ,		__a = 40_96    ,		__a = 12    ,		__a = 16    ,		__a = 40_96    ,		__a = 12    ,		__a = 16    ,		__a = 0.1    ,		__a = 0.1    ,		__a = 5_12    ,		__a = 0.02    ,		__a = True    ,		__a = True    ,		__a = 0    ,		__a = 2    ,		__a = 32    ,		__a = 1_28    ,		__a = False    ,		__a = 0.0    ,		__a = True    ,		__a = 0    ,		__a = 1    ,		__a = 2    ,		**__a    ,		)	->	Optional[Any]:
							_UpperCamelCase										=  vocab_size
							_UpperCamelCase										=  hidden_size
							_UpperCamelCase										=  encoder_ffn_dim
							_UpperCamelCase										=  num_encoder_layers
							_UpperCamelCase										=  num_encoder_attention_heads
							_UpperCamelCase										=  decoder_ffn_dim
							_UpperCamelCase										=  num_decoder_layers
							_UpperCamelCase										=  num_decoder_attention_heads
							_UpperCamelCase										=  max_position_embeddings
							_UpperCamelCase										=  init_std  # Normal(0, this parameter)
							_UpperCamelCase										=  activation_function

							# parameters for xlmprophetnet
							_UpperCamelCase										=  ngram
							_UpperCamelCase										=  num_buckets
							_UpperCamelCase										=  relative_max_distance
							_UpperCamelCase										=  disable_ngram_loss
							_UpperCamelCase										=  eps

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

							_UpperCamelCase										=  use_cache

							super().__init__(
							    pad_token_id=UpperCamelCase__    ,		bos_token_id=UpperCamelCase__    ,		eos_token_id=UpperCamelCase__    ,		is_encoder_decoder=UpperCamelCase__    ,		add_cross_attention=UpperCamelCase__    ,		decoder_start_token_id=UpperCamelCase__    ,		**UpperCamelCase__    ,		)



		@property
		def 						UpperCAmelCase							( self)	->	int:
							return self.num_encoder_layers + self.num_decoder_layers




		@num_hidden_layers.setter
		def 						UpperCAmelCase							( self    ,		__a)	->	Dict:
							raise NotImplementedError(
							    '''This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'''
							    ''' `num_decoder_layers`.''')








"""simple docstring"""





class    _UpperCAmelCase:



		def __init__( self    ,		__a    ,		__a    ,		__a)	->	List[Any]:






							'''simple docstring'''
							_UpperCamelCase										=  name
							_UpperCamelCase										=  value
							_UpperCamelCase										=  weight



		def __repr__( self)	->	List[str]:






							'''simple docstring'''
							return F'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''



		def 						UpperCAmelCase							( self)	->	Tuple:






							'''simple docstring'''
							return self.value



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






							'''simple docstring'''
							return self.name



		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							return self.weight




		def 						UpperCAmelCase							( self)	->	Any:






							'''simple docstring'''
							return self.value / self.weight





def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case     )							->		Optional[Any]:


					"""simple docstring"""





					_UpperCamelCase										=  []
					for i in range(len(__snake_case     )     ):
										menu.append(Things(name[i],					value[i],					weight[i]     )     )
					return menu



def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case     )							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase										=  sorted(__snake_case,					key=__snake_case,					reverse=__snake_case     )
					_UpperCamelCase										=  []
					_UpperCamelCase			,  _UpperCamelCase										=  0.0, 0.0
					for i in range(len(__snake_case     )     ):
										if (total_cost + items_copy[i].get_weight()) <= max_cost:
															result.append(items_copy[i]     )
															total_cost += items_copy[i].get_weight()
															total_value += items_copy[i].get_value()
					return (result, total_value)



def 				lowerCamelCase__		(      )							->		List[str]:


					"""simple docstring"""







if __name__ == "__main__":
				import doctest

				doctest.testmod()






