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| 1 | +#!/usr/bin/env python3 |
| 2 | + |
| 3 | +from __future__ import annotations |
| 4 | +from typing import TypeVar, Generic, Optional, Iterable, List |
| 5 | + |
| 6 | +__all__ = ["SkewHeap"] |
| 7 | + |
| 8 | +T = TypeVar("T") |
| 9 | + |
| 10 | + |
| 11 | +class SkewNode(Generic[T]): |
| 12 | + """One node of the skew heap. Contains the value and references to two children.""" |
| 13 | + |
| 14 | + def __init__(self, value: T) -> None: |
| 15 | + self._value: T = value |
| 16 | + self.left: Optional[SkewNode[T]] = None |
| 17 | + self.right: Optional[SkewNode[T]] = None |
| 18 | + |
| 19 | + @property |
| 20 | + def value(self) -> T: |
| 21 | + """Return the value of the node.""" |
| 22 | + return self._value |
| 23 | + |
| 24 | + @staticmethod |
| 25 | + def merge( |
| 26 | + root1: Optional[SkewNode[T]], root2: Optional[SkewNode[T]] |
| 27 | + ) -> Optional[SkewNode[T]]: |
| 28 | + """Merge 2 nodes together.""" |
| 29 | + if not root1: |
| 30 | + return root2 |
| 31 | + |
| 32 | + if not root2: |
| 33 | + return root1 |
| 34 | + |
| 35 | + if root1.value > root2.value: |
| 36 | + root1, root2 = root2, root1 |
| 37 | + |
| 38 | + result = root1 |
| 39 | + temp = root1.right |
| 40 | + result.right = root1.left |
| 41 | + result.left = SkewNode.merge(temp, root2) |
| 42 | + |
| 43 | + return result |
| 44 | + |
| 45 | + |
| 46 | +class SkewHeap(Generic[T]): |
| 47 | + """ |
| 48 | + Data structure that allows to insert a new value and to pop the smallest |
| 49 | + values. Both operations take O(logN) time where N is the size of the structure. |
| 50 | + - Wiki: https://en.wikipedia.org/wiki/Skew_heap |
| 51 | + - Visualisation: https://www.cs.usfca.edu/~galles/visualization/SkewHeap.html |
| 52 | +
|
| 53 | + >>> SkewHeap.from_list([2, 3, 1, 5, 1, 7]).to_sorted_list() |
| 54 | + [1, 1, 2, 3, 5, 7] |
| 55 | +
|
| 56 | + >>> sh = SkewHeap() |
| 57 | + >>> sh.insert(1) |
| 58 | + >>> sh.top() |
| 59 | + 1 |
| 60 | + >>> sh.insert(0) |
| 61 | + >>> sh.pop() |
| 62 | + 0 |
| 63 | + >>> sh.pop() |
| 64 | + 1 |
| 65 | + >>> sh.top() |
| 66 | + Traceback (most recent call last): |
| 67 | + ... |
| 68 | + AttributeError: Can't get top element for the empty heap. |
| 69 | + """ |
| 70 | + |
| 71 | + def __init__(self) -> None: |
| 72 | + self._root: Optional[SkewNode[T]] = None |
| 73 | + |
| 74 | + def insert(self, value: T) -> None: |
| 75 | + """Insert the value into the heap.""" |
| 76 | + self._root = SkewNode.merge(self._root, SkewNode(value)) |
| 77 | + |
| 78 | + def pop(self) -> T: |
| 79 | + """Pop the smallest value from the heap and return it.""" |
| 80 | + result = self.top() |
| 81 | + self._root = SkewNode.merge(self._root.left, self._root.right) |
| 82 | + |
| 83 | + return result |
| 84 | + |
| 85 | + def top(self) -> T: |
| 86 | + """Return the smallest value from the heap.""" |
| 87 | + if not self._root: |
| 88 | + raise AttributeError("Can't get top element for the empty heap.") |
| 89 | + return self._root.value |
| 90 | + |
| 91 | + def clear(self): |
| 92 | + self._root = None |
| 93 | + |
| 94 | + @staticmethod |
| 95 | + def from_list(data: Iterable[T]) -> SkewHeap[T]: |
| 96 | + """Get the sorted list from the heap. Heap will be cleared afterwards.""" |
| 97 | + result = SkewHeap() |
| 98 | + for item in data: |
| 99 | + result.insert(item) |
| 100 | + |
| 101 | + return result |
| 102 | + |
| 103 | + def to_sorted_list(self) -> List[T]: |
| 104 | + """Returns sorted list containing all the values in the heap.""" |
| 105 | + result = [] |
| 106 | + while self: |
| 107 | + result.append(self.pop()) |
| 108 | + |
| 109 | + return result |
| 110 | + |
| 111 | + def __bool__(self) -> bool: |
| 112 | + """Check if the heap is not empty.""" |
| 113 | + return self._root is not None |
| 114 | + |
| 115 | + |
| 116 | +if __name__ == "__main__": |
| 117 | + import doctest |
| 118 | + |
| 119 | + doctest.testmod() |
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