"""simple docstring"""







from typing import Callable, Optional, Union

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


SCREAMING_SNAKE_CASE						=    logging.get_logger(__name__)

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



class 			_lowerCamelCase      (__lowerCamelCase  ):
				_snake_case  =	"prophetnet"
				_snake_case  =	["past_key_values"]
				_snake_case  =	{
				    "num_attention_heads": "num_encoder_attention_heads",
				}







				def __init__(			self     :							Tuple      ,       lowerCamelCase_     :							Optional[float] = 0.1      ,       lowerCamelCase_     :							Optional[Union[str, Callable]] = "gelu"      ,       lowerCamelCase_     :							Optional[int] = 3_0_5_2_2      ,       lowerCamelCase_     :							Optional[int] = 1_0_2_4      ,       lowerCamelCase_     :							Optional[int] = 4_0_9_6      ,       lowerCamelCase_     :							Optional[int] = 1_2      ,       lowerCamelCase_     :							Optional[int] = 1_6      ,       lowerCamelCase_     :							Optional[int] = 4_0_9_6      ,       lowerCamelCase_     :							Optional[int] = 1_2      ,       lowerCamelCase_     :							Optional[int] = 1_6      ,       lowerCamelCase_     :							Optional[float] = 0.1      ,       lowerCamelCase_     :							Optional[float] = 0.1      ,       lowerCamelCase_     :							Optional[int] = 5_1_2      ,       lowerCamelCase_     :							Optional[float] = 0.02      ,       lowerCamelCase_     :							Optional[bool] = True      ,       lowerCamelCase_     :							Optional[bool] = True      ,       lowerCamelCase_     :							Optional[int] = 0      ,       lowerCamelCase_     :							Optional[int] = 2      ,       lowerCamelCase_     :							Optional[int] = 3_2      ,       lowerCamelCase_     :							Optional[int] = 1_2_8      ,       lowerCamelCase_     :							Optional[bool] = False      ,       lowerCamelCase_     :							Optional[float] = 0.0      ,       lowerCamelCase_     :							Optional[bool] = True      ,       lowerCamelCase_     :							Optional[int] = 0      ,       lowerCamelCase_     :							Optional[int] = 1      ,       lowerCamelCase_     :							Optional[int] = 2      ,       **lowerCamelCase_     :							List[Any]      ,       ):

					"""simple docstring"""






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

					# parameters for prophetnet
					_lowercase			:     Any      					=				ngram
					_lowercase			:     Optional[int]      					=				num_buckets
					_lowercase			:     Tuple      					=				relative_max_distance
					_lowercase			:     Tuple      					=				disable_ngram_loss
					_lowercase			:     Dict      					=				eps

					# 3 Types of Dropout
					_lowercase			:     Dict      					=				attention_dropout
					_lowercase			:     List[str]      					=				activation_dropout
					_lowercase			:     List[str]      					=				dropout

					_lowercase			:     Optional[int]      					=				use_cache

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







				@property
				def 				__UpperCAmelCase       (			self     :							Dict    ):

					"""simple docstring"""






					return self.num_encoder_layers + self.num_decoder_layers







				@num_hidden_layers.setter
				def 				__UpperCAmelCase       (			self     :							List[str]      ,       lowerCamelCase_     :							Optional[Any]    ):

					"""simple docstring"""






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




"""simple docstring"""







from __future__ import annotations

import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar

SCREAMING_SNAKE_CASE						=    TypeVar('T', bound=bool)



class 			_lowerCamelCase      (Generic[T]  ):







				def __init__(			self     :							Any      ,       lowerCamelCase_     :							T    ):

					"""simple docstring"""






					_lowercase			:     T      					=				value
					_lowercase			:     RandomizedHeapNode[T] | None      					=				None
					_lowercase			:     RandomizedHeapNode[T] | None      					=				None







				@property
				def 				__UpperCAmelCase       (			self     :							int    ):

					"""simple docstring"""






					return self._value







				@staticmethod
				def 				__UpperCAmelCase       (			lowerCamelCase_     :							RandomizedHeapNode[T] | None      ,       lowerCamelCase_     :							RandomizedHeapNode[T] | None    ):

					"""simple docstring"""






					if not roota:
						return roota

					if not roota:
						return roota

					if roota.value > roota.value:
						_lowercase					,   _lowercase			:     List[Any]      					=				roota, roota

					if random.choice([True, False]    ):
						_lowercase					,   _lowercase			:     Optional[int]      					=				roota.right, roota.left

					_lowercase			:     Tuple      					=				RandomizedHeapNode.merge(roota.left      ,       lowerCamelCase_    )

					return roota



class 			_lowerCamelCase      (Generic[T]  ):







				def __init__(			self     :							Optional[Any]      ,       lowerCamelCase_     :							Iterable[T] | None = ()    ):

					"""simple docstring"""






					_lowercase			:     RandomizedHeapNode[T] | None      					=				None

					if data:
						for item in data:
							self.insert(lowerCamelCase_    )







				def 				__UpperCAmelCase       (			self     :							Tuple      ,       lowerCamelCase_     :							T    ):

					"""simple docstring"""






					_lowercase			:     str      					=				RandomizedHeapNode.merge(self._root      ,       RandomizedHeapNode(lowerCamelCase_    )    )







				def 				__UpperCAmelCase       (			self     :							int    ):

					"""simple docstring"""






					_lowercase			:     Any      					=				self.top()

					if self._root is None:
						return None

					_lowercase			:     List[Any]      					=				RandomizedHeapNode.merge(self._root.left      ,       self._root.right    )

					return result







				def 				__UpperCAmelCase       (			self     :							List[Any]    ):

					"""simple docstring"""






					if not self._root:
						raise IndexError('Can\'t get top element for the empty heap.'    )
					return self._root.value







				def 				__UpperCAmelCase       (			self     :							Any    ):

					"""simple docstring"""






					_lowercase			:     List[Any]      					=				None







				def 				__UpperCAmelCase       (			self     :							Union[str, Any]    ):

					"""simple docstring"""






					_lowercase			:     List[Any]      					=				[]
					while self:
						result.append(self.pop()    )

					return result







				def __bool__(			self     :							List[str]    ):

					"""simple docstring"""






					return self._root is not None


if __name__ == "__main__":
						import doctest

						doctest.testmod()



