



from __future__ import annotations

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

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







class      __lowerCAmelCase       (     Generic[T]		):



			def __init__(		self  :    int					,						A  :    T)  ->       None:



						"""simple docstring"""






						_UpperCAmelCase									=  value
						_UpperCAmelCase									=  None
						_UpperCAmelCase									=  None



			@property
			def        _lowerCamelCase			(		self  :    int)  ->       T:



						"""simple docstring"""






						return self._value



			@staticmethod
			def        _lowerCamelCase			(		A  :    RandomizedHeapNode[T] | None					,						A  :    RandomizedHeapNode[T] | None)  ->       RandomizedHeapNode[T] | None:



						"""simple docstring"""






						if not roota:
									return roota

						if not roota:
									return roota

						if roota.value > roota.value:
									_UpperCAmelCase			,	_UpperCAmelCase									=  roota, roota

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

						_UpperCAmelCase									=  RandomizedHeapNode.merge(roota.left					,						A)

						return roota







class      __lowerCAmelCase       (     Generic[T]		):



			def __init__(		self  :    List[str]					,						A  :    Iterable[T] | None = ())  ->       None:



						"""simple docstring"""






						_UpperCAmelCase									=  None

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



			def        _lowerCamelCase			(		self  :    str					,						A  :    T)  ->       None:



						"""simple docstring"""






						_UpperCAmelCase									=  RandomizedHeapNode.merge(self._root					,						RandomizedHeapNode(A))



			def        _lowerCamelCase			(		self  :    Any)  ->       T | None:



						"""simple docstring"""






						_UpperCAmelCase									=  self.top()

						if self._root is None:
									return None

						_UpperCAmelCase									=  RandomizedHeapNode.merge(self._root.left					,						self._root.right)

						return result



			def        _lowerCamelCase			(		self  :    Dict)  ->       T:



						"""simple docstring"""






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



			def        _lowerCamelCase			(		self  :    Dict)  ->       None:



						"""simple docstring"""






						_UpperCAmelCase									=  None



			def        _lowerCamelCase			(		self  :    List[str])  ->       list[Any]:



						"""simple docstring"""






						_UpperCAmelCase									=  []
						while self:
									result.append(self.pop())

						return result



			def __bool__(		self  :    Dict)  ->       bool:



						"""simple docstring"""






						return self._root is not None


if __name__ == "__main__":
							import doctest

							doctest.testmod()





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


UpperCAmelCase__  =			logging.get_logger(__name__)

UpperCAmelCase__  =			{
    "dandelin/vilt-b32-mlm": "https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json"
}







class      __lowerCAmelCase       (     A		):
			UpperCamelCase     =	'''vilt'''



			def __init__(		self  :    List[Any]					,						A  :    Dict=3_05_22					,						A  :    Union[str, Any]=2					,						A  :    Tuple=2					,						A  :    List[Any]=40					,						A  :    Optional[int]=7_68					,						A  :    Any=12					,						A  :    Optional[int]=12					,						A  :    Optional[Any]=30_72					,						A  :    Optional[Any]="gelu"					,						A  :    str=0.0					,						A  :    Any=0.0					,						A  :    Union[str, Any]=0.0_2					,						A  :    Union[str, Any]=1E-12					,						A  :    Optional[Any]=3_84					,						A  :    Dict=32					,						A  :    int=3					,						A  :    int=True					,						A  :    Union[str, Any]=-1					,						A  :    int=False					,						A  :    int=-1					,						**A  :    Tuple					,						)  ->       Dict:



						"""simple docstring"""






						super().__init__(tie_word_embeddings=A					,						**A)

						_UpperCAmelCase									=  vocab_size
						_UpperCAmelCase									=  type_vocab_size
						_UpperCAmelCase									=  modality_type_vocab_size
						_UpperCAmelCase									=  max_position_embeddings

						_UpperCAmelCase									=  hidden_size
						_UpperCAmelCase									=  num_hidden_layers
						_UpperCAmelCase									=  num_attention_heads
						_UpperCAmelCase									=  intermediate_size
						_UpperCAmelCase									=  hidden_act
						_UpperCAmelCase									=  hidden_dropout_prob
						_UpperCAmelCase									=  attention_probs_dropout_prob
						_UpperCAmelCase									=  initializer_range
						_UpperCAmelCase									=  layer_norm_eps

						_UpperCAmelCase									=  image_size
						_UpperCAmelCase									=  patch_size
						_UpperCAmelCase									=  num_channels
						_UpperCAmelCase									=  qkv_bias
						_UpperCAmelCase									=  max_image_length
						_UpperCAmelCase									=  num_images
