code: 
  
  
  
  
  
  
  from __future__ import annotations
  
  import random
  from collections.abc import Iterable
  from typing import Any, Generic, TypeVar
  
  SCREAMING_SNAKE_CASE__		:       List[str]   							=							TypeVar("""T""", bound=bool)
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     (		Generic[T]		):
  
  
  
  
  					def __init__(							self  ,	_lowerCAmelCase		):
  										UpperCAmelCase__			:     T										= value
  										UpperCAmelCase__			:     RandomizedHeapNode[T] | None										= None
  										UpperCAmelCase__			:     RandomizedHeapNode[T] | None										= None
  
  
  
  
  					@property
  					def      __UpperCAmelCase     (							self		):
  										return self._value
  
  
  
  
  					@staticmethod
  					def      __UpperCAmelCase     (							_lowerCAmelCase  ,	_lowerCAmelCase		):
  
  
  
  										if not roota:
  															return roota
  
  										if not roota:
  															return roota
  
  										if roota.value > roota.value:
  															UpperCAmelCase__			:     List[str]										= roota, roota
  
  										if random.choice([True, False]		):
  															UpperCAmelCase__			:     List[Any]										= roota.right, roota.left
  
  										UpperCAmelCase__			:     Optional[Any]										= RandomizedHeapNode.merge(roota.left  ,	_lowerCAmelCase		)
  
  										return roota
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     (		Generic[T]		):
  
  
  
  
  					def __init__(							self  ,	_lowerCAmelCase = ()		):
  										UpperCAmelCase__			:     RandomizedHeapNode[T] | None										= None
  
  										if data:
  															for item in data:
  																				self.insert(_lowerCAmelCase		)
  
  
  
  
  					def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase		):
  										UpperCAmelCase__			:     Optional[int]										= RandomizedHeapNode.merge(self._root  ,	RandomizedHeapNode(_lowerCAmelCase		)		)
  
  
  
  
  					def      __UpperCAmelCase     (							self		):
  										UpperCAmelCase__			:     Tuple										= self.top()
  
  										if self._root is None:
  															return None
  
  										UpperCAmelCase__			:     Optional[Any]										= RandomizedHeapNode.merge(self._root.left  ,	self._root.right		)
  
  										return result
  
  
  
  
  					def      __UpperCAmelCase     (							self		):
  
  
  
  										if not self._root:
  															raise IndexError("""Can\'t get top element for the empty heap."""		)
  										return self._root.value
  
  
  
  
  					def      __UpperCAmelCase     (							self		):
  										UpperCAmelCase__			:     Any										= None
  
  
  
  
  					def      __UpperCAmelCase     (							self		):
  										UpperCAmelCase__			:     List[str]										= []
  										while self:
  															result.append(self.pop()		)
  
  										return result
  
  
  
  
  					def __bool__(							self		):
  										return self._root is not None
  
  
  if __name__ == "__main__":
  						import doctest
  
  						doctest.testmod()
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  SCREAMING_SNAKE_CASE__		:       Any   							=							{"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}
  
  
  try:
        if not is_torch_available():
              raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
        pass
  else:
        SCREAMING_SNAKE_CASE__		:       str   							=							[
            """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
            """DinatForImageClassification""",
            """DinatModel""",
            """DinatPreTrainedModel""",
            """DinatBackbone""",
        ]
  
  if TYPE_CHECKING:
        from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
  
        try:
              if not is_torch_available():
                    raise OptionalDependencyNotAvailable()
        except OptionalDependencyNotAvailable:
              pass
        else:
              from .modeling_dinat import (
                  DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DinatBackbone,
                  DinatForImageClassification,
                  DinatModel,
                  DinatPreTrainedModel,
              )
  
  else:
        import sys
  
        SCREAMING_SNAKE_CASE__		:       Dict   							=							_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
  
  
  
  
  
  