






"""simple docstring"""







from __future__ import annotations

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

__a							:						Tuple   							=			TypeVar('T', bound=bool)







class 							_SCREAMING_SNAKE_CASE    (	Generic[T]				):





							"""simple docstring"""





							def __init__( self:  List[Any]					,		__A:  T     ):

												'''simple docstring'''

												a__ 							=	value
												a__ 							=	None
												a__ 							=	None




							@property
							def 			lowercase		( self:  Optional[int]     ):

												'''simple docstring'''

												return self._value





							@staticmethod
							def 			lowercase		( __A:  RandomizedHeapNode[T] | None					,		__A:  RandomizedHeapNode[T] | None     ):

												'''simple docstring'''

												if not roota:
																	return roota

												if not roota:
																	return roota

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

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

												a__ 							=	RandomizedHeapNode.merge(roota.left					,		__A     )

												return roota







class 							_SCREAMING_SNAKE_CASE    (	Generic[T]				):





							"""simple docstring"""





							def __init__( self:  List[Any]					,		__A:  Iterable[T] | None = ()     ):

												'''simple docstring'''

												a__ 							=	None

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




							def 			lowercase		( self:  Dict					,		__A:  T     ):

												'''simple docstring'''

												a__ 							=	RandomizedHeapNode.merge(self._root					,		RandomizedHeapNode(__A     )     )




							def 			lowercase		( self:  Any     ):

												'''simple docstring'''

												a__ 							=	self.top()

												if self._root is None:
																	return None

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

												return result




							def 			lowercase		( self:  int     ):

												'''simple docstring'''

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




							def 			lowercase		( self:  Union[str, Any]     ):

												'''simple docstring'''

												a__ 							=	None




							def 			lowercase		( self:  int     ):

												'''simple docstring'''

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

												return result





							def __bool__( self:  Tuple     ):

												'''simple docstring'''

												return self._root is not None


if __name__ == "__main__":
	import doctest

	doctest.testmod()










"""simple docstring"""







from __future__ import annotations





def 							SCREAMING_SNAKE_CASE							(   lowerCamelCase_			,  lowerCamelCase_			,  lowerCamelCase_			,  lowerCamelCase_):

					# Base Case
					if counter == 0 or capacity == 0:
										return 0

					# If weight of the nth item is more than Knapsack of capacity,
					#   then this item cannot be included in the optimal solution,
					# else return the maximum of two cases:
					#   (1) nth item included
					#   (2) not included
					if weights[counter - 1] > capacity:
										return knapsack(lowerCamelCase_			,  lowerCamelCase_			,  lowerCamelCase_			,  counter - 1)
					else:
										a__ 							=	capacity - weights[counter - 1]
										a__ 							=	values[counter - 1] + knapsack(
										    lowerCamelCase_			,  lowerCamelCase_			,  lowerCamelCase_			,  counter - 1)
										a__ 							=	knapsack(lowerCamelCase_			,  lowerCamelCase_			,  lowerCamelCase_			,  counter - 1)
										return max(lowerCamelCase_			,  lowerCamelCase_)


if __name__ == "__main__":
	import doctest

	doctest.testmod()


