"""simple docstring"""






from typing import List, Union

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


__A         =				logging.get_logger(__name__)

__A         =				{
    "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/config.json",
    # See all LED models at https://huggingface.co/models?filter=led
}


class 					UpperCAmelCase		(_UpperCAmelCase						):



    """simple docstring"""

    _UpperCAmelCase			:int							=				"led"
    _UpperCAmelCase			:Optional[Any]							=				{
        "num_attention_heads": "encoder_attention_heads",
        "hidden_size": "d_model",
        "attention_probs_dropout_prob": "attention_dropout",
        "initializer_range": "init_std",
    }






    def __init__(     self					,    _UpperCAmelCase=50265					,    _UpperCAmelCase=16384					,    _UpperCAmelCase=1024					,    _UpperCAmelCase=12					,    _UpperCAmelCase=4096					,    _UpperCAmelCase=16					,    _UpperCAmelCase=12					,    _UpperCAmelCase=4096					,    _UpperCAmelCase=16					,    _UpperCAmelCase=0.0					,    _UpperCAmelCase=0.0					,    _UpperCAmelCase=True					,    _UpperCAmelCase=True					,    _UpperCAmelCase="gelu"					,    _UpperCAmelCase=1024					,    _UpperCAmelCase=0.1					,    _UpperCAmelCase=0.0					,    _UpperCAmelCase=0.0					,    _UpperCAmelCase=0.02					,    _UpperCAmelCase=2					,    _UpperCAmelCase=0.0					,    _UpperCAmelCase=1					,    _UpperCAmelCase=0					,    _UpperCAmelCase=2					,    _UpperCAmelCase = 512					,    **_UpperCAmelCase					,    ):
       lowercase__:     int      =   vocab_size
       lowercase__:     List[Any]      =   max_encoder_position_embeddings
       lowercase__:     Dict      =   max_decoder_position_embeddings
       lowercase__:     List[Any]      =   d_model
       lowercase__:     str      =   encoder_ffn_dim
       lowercase__:     Any      =   encoder_layers
       lowercase__:     str      =   encoder_attention_heads
       lowercase__:     Union[str, Any]      =   decoder_ffn_dim
       lowercase__:     Dict      =   decoder_layers
       lowercase__:     Optional[Any]      =   decoder_attention_heads
       lowercase__:     int      =   dropout
       lowercase__:     Optional[Any]      =   attention_dropout
       lowercase__:     Tuple      =   activation_dropout
       lowercase__:     Optional[int]      =   activation_function
       lowercase__:     int      =   init_std
       lowercase__:     List[str]      =   encoder_layerdrop
       lowercase__:     str      =   decoder_layerdrop
       lowercase__:     List[str]      =   classifier_dropout
       lowercase__:     List[Any]      =   use_cache
       lowercase__:     Union[str, Any]      =   encoder_layers
       lowercase__:     Optional[int]      =   attention_window

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

"""simple docstring"""






from __future__ import annotations

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

__A         =				TypeVar("T", bound=bool)


class 					UpperCAmelCase		(Generic[T]						):



    """simple docstring"""

    def __init__(     self					,    _UpperCAmelCase							):
       lowercase__:     T      =   value
       lowercase__:     RandomizedHeapNode[T] | None      =   None
       lowercase__:     RandomizedHeapNode[T] | None      =   None






    @property
    def _snake_case    (     self							):
       return self._value






    @staticmethod
    def _snake_case    (     _UpperCAmelCase					,    _UpperCAmelCase							):
       if not roota:
          return roota

       if not roota:
          return roota

       if roota.value > roota.value:
          lowercase__,				lowercase__:     List[str]      =   roota, roota

       if random.choice([True, False]							):
          lowercase__,				lowercase__:     Any      =   roota.right, roota.left

       lowercase__:     Optional[int]      =   RandomizedHeapNode.merge(roota.left					,    _UpperCAmelCase							)

       return roota



class 					UpperCAmelCase		(Generic[T]						):



    """simple docstring"""

    def __init__(     self					,    _UpperCAmelCase = ()							):
       lowercase__:     RandomizedHeapNode[T] | None      =   None

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






    def _snake_case    (     self					,    _UpperCAmelCase							):
       lowercase__:     Any      =   RandomizedHeapNode.merge(self._root					,    RandomizedHeapNode(_UpperCAmelCase							)							)






    def _snake_case    (     self							):
       lowercase__:     Union[str, Any]      =   self.top()

       if self._root is None:
          return None

       lowercase__:     int      =   RandomizedHeapNode.merge(self._root.left					,    self._root.right							)

       return result






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






    def _snake_case    (     self							):
       lowercase__:     Dict      =   None






    def _snake_case    (     self							):
       lowercase__:     Optional[int]      =   []
       while self:
          result.append(self.pop()							)

       return result






    def __bool__(     self							):
       return self._root is not None


if __name__ == "__main__":
       import doctest

       doctest.testmod()
