






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()














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__)






