未验证 提交 e3c07f98 编写于 作者: P Phil Bazun 提交者: GitHub

Add skew heap data structure. (#3238)

* Add skew heap data structure.

* fixup! Add skew heap data structure.

* fixup! Add skew heap data structure.

* fixup! Add skew heap data structure.

* Add tests.

* Add __iter__ method.

* fixup! Add __iter__ method.
上级 5fcd250c
#!/usr/bin/env python3
from __future__ import annotations
from typing import Generic, Iterable, Iterator, Optional, TypeVar
T = TypeVar("T")
class SkewNode(Generic[T]):
"""
One node of the skew heap. Contains the value and references to
two children.
"""
def __init__(self, value: T) -> None:
self._value: T = value
self.left: Optional[SkewNode[T]] = None
self.right: Optional[SkewNode[T]] = None
@property
def value(self) -> T:
"""Return the value of the node."""
return self._value
@staticmethod
def merge(
root1: Optional[SkewNode[T]], root2: Optional[SkewNode[T]]
) -> Optional[SkewNode[T]]:
"""Merge 2 nodes together."""
if not root1:
return root2
if not root2:
return root1
if root1.value > root2.value:
root1, root2 = root2, root1
result = root1
temp = root1.right
result.right = root1.left
result.left = SkewNode.merge(temp, root2)
return result
class SkewHeap(Generic[T]):
"""
A data structure that allows inserting a new value and to pop the smallest
values. Both operations take O(logN) time where N is the size of the
structure.
Wiki: https://en.wikipedia.org/wiki/Skew_heap
Visualisation: https://www.cs.usfca.edu/~galles/visualization/SkewHeap.html
>>> list(SkewHeap([2, 3, 1, 5, 1, 7]))
[1, 1, 2, 3, 5, 7]
>>> sh = SkewHeap()
>>> sh.pop()
Traceback (most recent call last):
...
IndexError: Can't get top element for the empty heap.
>>> sh.insert(1)
>>> sh.insert(-1)
>>> sh.insert(0)
>>> list(sh)
[-1, 0, 1]
"""
def __init__(self, data: Optional[Iterable[T]] = ()) -> None:
"""
>>> sh = SkewHeap([3, 1, 3, 7])
>>> list(sh)
[1, 3, 3, 7]
"""
self._root: Optional[SkewNode[T]] = None
for item in data:
self.insert(item)
def __bool__(self) -> bool:
"""
Check if the heap is not empty.
>>> sh = SkewHeap()
>>> bool(sh)
False
>>> sh.insert(1)
>>> bool(sh)
True
>>> sh.clear()
>>> bool(sh)
False
"""
return self._root is not None
def __iter__(self) -> Iterator[T]:
"""
Returns sorted list containing all the values in the heap.
>>> sh = SkewHeap([3, 1, 3, 7])
>>> list(sh)
[1, 3, 3, 7]
"""
result = []
while self:
result.append(self.pop())
# Pushing items back to the heap not to clear it.
for item in result:
self.insert(item)
return iter(result)
def insert(self, value: T) -> None:
"""
Insert the value into the heap.
>>> sh = SkewHeap()
>>> sh.insert(3)
>>> sh.insert(1)
>>> sh.insert(3)
>>> sh.insert(7)
>>> list(sh)
[1, 3, 3, 7]
"""
self._root = SkewNode.merge(self._root, SkewNode(value))
def pop(self) -> T:
"""
Pop the smallest value from the heap and return it.
>>> sh = SkewHeap([3, 1, 3, 7])
>>> sh.pop()
1
>>> sh.pop()
3
>>> sh.pop()
3
>>> sh.pop()
7
>>> sh.pop()
Traceback (most recent call last):
...
IndexError: Can't get top element for the empty heap.
"""
result = self.top()
self._root = SkewNode.merge(self._root.left, self._root.right)
return result
def top(self) -> T:
"""
Return the smallest value from the heap.
>>> sh = SkewHeap()
>>> sh.insert(3)
>>> sh.top()
3
>>> sh.insert(1)
>>> sh.top()
1
>>> sh.insert(3)
>>> sh.top()
1
>>> sh.insert(7)
>>> sh.top()
1
"""
if not self._root:
raise IndexError("Can't get top element for the empty heap.")
return self._root.value
def clear(self):
"""
Clear the heap.
>>> sh = SkewHeap([3, 1, 3, 7])
>>> sh.clear()
>>> sh.pop()
Traceback (most recent call last):
...
IndexError: Can't get top element for the empty heap.
"""
self._root = None
if __name__ == "__main__":
import doctest
doctest.testmod()
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