

"""simple docstring"""
class        _UpperCamelCase	:


  """simple docstring"""





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


         '''simple docstring'''





         __magic_name__			:		Any        =     [0]
         __magic_name__			:		Tuple        =     0



  def 							_UpperCAmelCase      ( self					: Dict       ,       snake_case					: int      )	->			None:


         '''simple docstring'''





         __magic_name__			:		Optional[Any]        =     self.__heap[i]
         while i // 2 > 0:
                if self.__heap[i] > self.__heap[i // 2]:
                       __magic_name__			:		Any        =     self.__heap[i // 2]
                       __magic_name__			:		Optional[int]        =     temporary
                i //= 2



  def 							_UpperCAmelCase      ( self					: List[Any]       ,       snake_case					: int      )	->			None:


         '''simple docstring'''





         self.__heap.append(snake_case      )
         self.__size += 1
         self.__swap_up(self.__size      )



  def 							_UpperCAmelCase      ( self					: List[Any]       ,       snake_case					: int      )	->			None:


         '''simple docstring'''





         while self.__size >= 2 * i:
                if 2 * i + 1 > self.__size:
                       __magic_name__			:		int        =     2 * i
                else:
                       if self.__heap[2 * i] > self.__heap[2 * i + 1]:
                              __magic_name__			:		Dict        =     2 * i
                       else:
                              __magic_name__			:		Optional[int]        =     2 * i + 1
                __magic_name__			:		List[Any]        =     self.__heap[i]
                if self.__heap[i] < self.__heap[bigger_child]:
                       __magic_name__			:		List[Any]        =     self.__heap[bigger_child]
                       __magic_name__			:		Optional[int]        =     temporary
                __magic_name__			:		Optional[Any]        =     bigger_child



  def 							_UpperCAmelCase      ( self					: str      )	->			int:


         '''simple docstring'''





         __magic_name__			:		List[Any]        =     self.__heap[1]
         __magic_name__			:		Optional[Any]        =     self.__heap[self.__size]
         self.__size -= 1
         self.__heap.pop()
         self.__swap_down(1      )
         return max_value



  @property
  def 							_UpperCAmelCase      ( self					: Optional[int]      )	->			List[Any]:


         '''simple docstring'''





         return self.__heap[1:]




  def __len__( self					: Any      )	->			List[Any]:


         '''simple docstring'''





         return self.__size


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 # create an instance of BinaryHeap
 A									=						BinaryHeap()
 binary_heap.insert(6)
 binary_heap.insert(10)
 binary_heap.insert(15)
 binary_heap.insert(12)
 # pop root(max-values because it is max heap)
 print(binary_heap.pop())  # 15
 print(binary_heap.pop())  # 12
 # get the list and size after operations
 print(binary_heap.get_list)
 print(len(binary_heap))



"""simple docstring"""
from typing import Callable, Optional, Union

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


A									=						logging.get_logger(__name__)

A									=						{
    """microsoft/prophetnet-large-uncased""": (
        """https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json"""
    ),
}

class        _UpperCamelCase	(						lowerCamelCase__	):


  """simple docstring"""





  snake_case_        =    'prophetnet'
  snake_case_        =    ['past_key_values']
  snake_case_        =    {
      'num_attention_heads': 'num_encoder_attention_heads',
  }



  def __init__( self					: Union[str, Any]       ,       snake_case					: Optional[float] = 0.1       ,       snake_case					: Optional[Union[str, Callable]] = "gelu"       ,       snake_case					: Optional[int] = 3_0522       ,       snake_case					: Optional[int] = 1024       ,       snake_case					: Optional[int] = 4096       ,       snake_case					: Optional[int] = 12       ,       snake_case					: Optional[int] = 16       ,       snake_case					: Optional[int] = 4096       ,       snake_case					: Optional[int] = 12       ,       snake_case					: Optional[int] = 16       ,       snake_case					: Optional[float] = 0.1       ,       snake_case					: Optional[float] = 0.1       ,       snake_case					: Optional[int] = 512       ,       snake_case					: Optional[float] = 0.02       ,       snake_case					: Optional[bool] = True       ,       snake_case					: Optional[bool] = True       ,       snake_case					: Optional[int] = 0       ,       snake_case					: Optional[int] = 2       ,       snake_case					: Optional[int] = 32       ,       snake_case					: Optional[int] = 128       ,       snake_case					: Optional[bool] = False       ,       snake_case					: Optional[float] = 0.0       ,       snake_case					: Optional[bool] = True       ,       snake_case					: Optional[int] = 0       ,       snake_case					: Optional[int] = 1       ,       snake_case					: Optional[int] = 2       ,       **snake_case					: Optional[int]       ,       )	->			List[Any]:


         '''simple docstring'''





         __magic_name__			:		Union[str, Any]        =     vocab_size
         __magic_name__			:		Tuple        =     hidden_size
         __magic_name__			:		str        =     encoder_ffn_dim
         __magic_name__			:		Tuple        =     num_encoder_layers
         __magic_name__			:		int        =     num_encoder_attention_heads
         __magic_name__			:		int        =     decoder_ffn_dim
         __magic_name__			:		Optional[int]        =     num_decoder_layers
         __magic_name__			:		str        =     num_decoder_attention_heads
         __magic_name__			:		Optional[Any]        =     max_position_embeddings
         __magic_name__			:		Union[str, Any]        =     init_std  # Normal(0, this parameter)
         __magic_name__			:		Tuple        =     activation_function

         # parameters for prophetnet
         __magic_name__			:		int        =     ngram
         __magic_name__			:		str        =     num_buckets
         __magic_name__			:		Any        =     relative_max_distance
         __magic_name__			:		Optional[int]        =     disable_ngram_loss
         __magic_name__			:		str        =     eps

         # 3 Types of Dropout
         __magic_name__			:		Dict        =     attention_dropout
         __magic_name__			:		Optional[int]        =     activation_dropout
         __magic_name__			:		List[Any]        =     dropout

         __magic_name__			:		str        =     use_cache

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



  @property
  def 							_UpperCAmelCase      ( self					: str      )	->			int:


         '''simple docstring'''





         return self.num_encoder_layers + self.num_decoder_layers




  @num_hidden_layers.setter
  def 							_UpperCAmelCase      ( self					: Dict       ,       snake_case					: int      )	->			Optional[int]:


         '''simple docstring'''





         raise NotImplementedError(
             '''This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'''
             ''' `num_decoder_layers`.'''      )
