





'''simple docstring'''







from __future__ import annotations

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

snake_case_  :							Dict            =	TypeVar("T", bound=bool)


class        __a   (Generic[T]  ):

							def __init__(				self				:  Optional[int]							,  __magic_name__				:  T )       ->							None:







													"""simple docstring"""
													UpperCAmelCase_      :   T      =	value
													UpperCAmelCase_      :   RandomizedHeapNode[T] | None      =	None
													UpperCAmelCase_      :   RandomizedHeapNode[T] | None      =	None

							@property
							def      UpperCAmelCase__						(				self				:  List[str] )       ->							T:







													"""simple docstring"""
													return self._value



							@staticmethod
							def      UpperCAmelCase__						(				__magic_name__				:  RandomizedHeapNode[T] | None							,  __magic_name__				:  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_      :   Dict      =	roota, roota

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

													UpperCAmelCase_      :   Optional[Any]      =	RandomizedHeapNode.merge(roota.left							,  __magic_name__ )

													return roota





class        __a   (Generic[T]  ):

							def __init__(				self				:  Dict							,  __magic_name__				:  Iterable[T] | None = () )       ->							None:







													"""simple docstring"""
													UpperCAmelCase_      :   RandomizedHeapNode[T] | None      =	None

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

							def      UpperCAmelCase__						(				self				:  Optional[Any]							,  __magic_name__				:  T )       ->							None:







													"""simple docstring"""
													UpperCAmelCase_      :   Optional[Any]      =	RandomizedHeapNode.merge(self._root							,  RandomizedHeapNode(__magic_name__ ) )

							def      UpperCAmelCase__						(				self				:  List[Any] )       ->							T | None:







													"""simple docstring"""
													UpperCAmelCase_      :   List[str]      =	self.top()

													if self._root is None:
																			return None

													UpperCAmelCase_      :   Tuple      =	RandomizedHeapNode.merge(self._root.left							,  self._root.right )

													return result

							def      UpperCAmelCase__						(				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      UpperCAmelCase__						(				self				:  Optional[Any] )       ->							None:







													"""simple docstring"""
													UpperCAmelCase_      :   Dict      =	None

							def      UpperCAmelCase__						(				self				:  int )       ->							list[Any]:







													"""simple docstring"""
													UpperCAmelCase_      :   Tuple      =	[]
													while self:
																			result.append(self.pop() )

													return result



							def __bool__(				self				:  List[Any] )       ->							bool:







													"""simple docstring"""
													return self._root is not None


if __name__ == "__main__":
					import doctest

					doctest.testmod()







'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowercase	=    {'''configuration_detr''': ['''DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetrConfig''', '''DetrOnnxConfig''']}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowercase	=    ['''DetrFeatureExtractor''']
							__lowercase	=    ['''DetrImageProcessor''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowercase	=    [
							    '''DETR_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''DetrForObjectDetection''',
							    '''DetrForSegmentation''',
							    '''DetrModel''',
							    '''DetrPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_detr import DetrFeatureExtractor
														from .image_processing_detr import DetrImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_detr import (
														    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
														    DetrForObjectDetection,
														    DetrForSegmentation,
														    DetrModel,
														    DetrPreTrainedModel,
														)

else:
							import sys

							__lowercase	=    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






