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red_black_tree.py
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862 lines (763 loc) · 26 KB
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from __future__ import annotations
from collections.abc import Iterator
from pprint import pformat
class RedBlackTree:
"""
A Red-Black tree, which is a self-balancing BST (binary search
tree).
Examples:
>>> tree = RedBlackTree(0)
>>> tree = tree.insert(8).insert(-8).insert(4).insert(12)
>>> tree.check_color_properties()
True
>>> list(tree.inorder_traverse())
[-8, 0, 4, 8, 12]
>>> tree.search(4).label
4
>>> tree.floor(5)
4
>>> tree.ceil(5)
8
>>> tree.get_min()
-8
>>> tree.get_max()
12
>>> tree = tree.remove(4)
>>> 4 in tree
False
"""
def __init__(
self,
label: int | None = None,
color: int = 0,
parent: RedBlackTree | None = None,
left: RedBlackTree | None = None,
right: RedBlackTree | None = None,
) -> None:
"""Initialize a new Red-Black Tree node.
Args:
label: The value associated with this node
color: 0 if black, 1 if red
parent: The parent to this node
left: This node's left child
right: This node's right child
Examples:
>>> node = RedBlackTree(5)
>>> node.label
5
>>> node.color
0
"""
self.label = label
self.parent = parent
self.left = left
self.right = right
self.color = color
def rotate_left(self) -> RedBlackTree:
"""Rotate the subtree rooted at this node to the left.
Returns:
The new root of the subtree
Examples:
>>> root = RedBlackTree(2)
>>> root.right = RedBlackTree(4)
>>> root.right.left = RedBlackTree(3)
>>> new_root = root.rotate_left()
>>> new_root.label
4
>>> new_root.left.label
2
>>> new_root.left.right.label
3
"""
parent = self.parent
right = self.right
if right is None:
return self
self.right = right.left
if self.right:
self.right.parent = self
self.parent = right
right.left = self
if parent is not None:
if parent.left == self:
parent.left = right
else:
parent.right = right
right.parent = parent
return right
def rotate_right(self) -> RedBlackTree:
"""Rotate the subtree rooted at this node to the right.
Returns:
The new root of the subtree
Examples:
>>> root = RedBlackTree(4)
>>> root.left = RedBlackTree(2)
>>> root.left.right = RedBlackTree(3)
>>> new_root = root.rotate_right()
>>> new_root.label
2
>>> new_root.right.label
4
>>> new_root.right.left.label
3
"""
if self.left is None:
return self
parent = self.parent
left = self.left
self.left = left.right
if self.left:
self.left.parent = self
self.parent = left
left.right = self
if parent is not None:
if parent.right is self:
parent.right = left
else:
parent.left = left
left.parent = parent
return left
def insert(self, label: int) -> RedBlackTree:
"""Insert a label into the tree.
Args:
label: The value to insert
Returns:
The root of the tree
Examples:
>>> tree = RedBlackTree()
>>> tree = tree.insert(5).insert(3).insert(7)
>>> list(tree.inorder_traverse())
[3, 5, 7]
>>> tree.check_color_properties()
True
"""
if self.label is None:
self.label = label
return self
if self.label == label:
return self
elif self.label > label:
if self.left:
self.left.insert(label)
else:
self.left = RedBlackTree(label, 1, self)
self.left._insert_repair()
elif self.right:
self.right.insert(label)
else:
self.right = RedBlackTree(label, 1, self)
self.right._insert_repair()
return self.parent or self
def _insert_repair(self) -> None:
"""Repair the coloring after insertion."""
if self.parent is None:
# This node is the root, so it just needs to be black
self.color = 0
elif color(self.parent) == 0:
# If the parent is black, then it just needs to be red
self.color = 1
else:
uncle = self.parent.sibling
if color(uncle) == 0:
if self.is_left() and self.parent.is_right():
self.parent.rotate_right()
if self.right:
self.right._insert_repair()
elif self.is_right() and self.parent.is_left():
self.parent.rotate_left()
if self.left:
self.left._insert_repair()
elif self.is_left():
if self.grandparent:
self.grandparent.rotate_right()
self.parent.color = 0
if self.parent.right:
self.parent.right.color = 1
else:
if self.grandparent:
self.grandparent.rotate_left()
self.parent.color = 0
if self.parent.left:
self.parent.left.color = 1
else:
self.parent.color = 0
if uncle and self.grandparent:
uncle.color = 0
self.grandparent.color = 1
self.grandparent._insert_repair()
def remove(self, label: int) -> RedBlackTree:
"""Remove a label from the tree.
Args:
label: The value to remove
Returns:
The root of the tree
Examples:
>>> tree = RedBlackTree(5)
>>> tree = tree.insert(3).insert(7)
>>> tree = tree.remove(3)
>>> 3 in tree
False
>>> tree.check_color_properties()
True
"""
if self.label == label:
if self.left and self.right:
value = self.left.get_max()
if value is not None:
self.label = value
self.left.remove(value)
else:
child = self.left or self.right
if self.color == 1:
if self.parent:
if self.is_left():
self.parent.left = None
else:
self.parent.right = None
elif child is None:
if self.parent is None:
return RedBlackTree(None)
else:
self._remove_repair()
if self.is_left():
self.parent.left = None
else:
self.parent.right = None
self.parent = None
else:
self.label = child.label
self.left = child.left
self.right = child.right
if self.left:
self.left.parent = self
if self.right:
self.right.parent = self
elif self.label is not None and self.label > label:
if self.left:
self.left.remove(label)
elif self.right:
self.right.remove(label)
return self.parent or self
def _remove_repair(self) -> None:
"""Repair the coloring after removal."""
if (
self.parent is None
or self.sibling is None
or self.parent.sibling is None
or self.grandparent is None
):
return
if color(self.sibling) == 1:
self.sibling.color = 0
self.parent.color = 1
if self.is_left():
self.parent.rotate_left()
else:
self.parent.rotate_right()
if (
color(self.parent) == 0
and color(self.sibling) == 0
and color(self.sibling.left) == 0
and color(self.sibling.right) == 0
):
self.sibling.color = 1
self.parent._remove_repair()
return
if (
color(self.parent) == 1
and color(self.sibling) == 0
and color(self.sibling.left) == 0
and color(self.sibling.right) == 0
):
self.sibling.color = 1
self.parent.color = 0
return
if (
self.is_left()
and color(self.sibling) == 0
and color(self.sibling.right) == 0
and color(self.sibling.left) == 1
):
self.sibling.rotate_right()
self.sibling.color = 0
if self.sibling.right:
self.sibling.right.color = 1
if (
self.is_right()
and color(self.sibling) == 0
and color(self.sibling.right) == 1
and color(self.sibling.left) == 0
):
self.sibling.rotate_left()
self.sibling.color = 0
if self.sibling.left:
self.sibling.left.color = 1
if (
self.is_left()
and color(self.sibling) == 0
and color(self.sibling.right) == 1
):
self.parent.rotate_left()
self.grandparent.color = self.parent.color
self.parent.color = 0
self.parent.sibling.color = 0
if (
self.is_right()
and color(self.sibling) == 0
and color(self.sibling.left) == 1
):
self.parent.rotate_right()
self.grandparent.color = self.parent.color
self.parent.color = 0
self.parent.sibling.color = 0
def check_color_properties(self) -> bool:
"""Check if the tree satisfies all Red-Black tree properties.
Returns:
True if all properties are satisfied, False otherwise
Examples:
>>> tree = RedBlackTree(0)
>>> tree = tree.insert(1).insert(-1)
>>> tree.check_color_properties()
True
"""
# Property 2
if self.color:
return False
# Property 4
if not self.check_coloring():
return False
# Property 5
if self.black_height() is None:
return False
return True
def check_coloring(self) -> bool:
"""Check if the tree satisfies Red-Black property 4."""
if self.color == 1 and 1 in (color(self.left), color(self.right)):
return False
if self.left and not self.left.check_coloring():
return False
return not (self.right and not self.right.check_coloring())
def black_height(self) -> int | None:
"""Calculate the black height of the tree."""
if self is None or self.left is None or self.right is None:
return 1
left = RedBlackTree.black_height(self.left)
right = RedBlackTree.black_height(self.right)
if left is None or right is None:
return None
if left != right:
return None
return left + (1 - self.color)
def __contains__(self, label: int) -> bool:
"""Check if the tree contains a label.
Args:
label: The value to check
Returns:
True if the label is in the tree, False otherwise
Examples:
>>> tree = RedBlackTree(5)
>>> tree = tree.insert(3)
>>> 3 in tree
True
>>> 4 in tree
False
"""
return self.search(label) is not None
def search(self, label: int) -> RedBlackTree | None:
"""Search for a label in the tree.
Args:
label: The value to search for
Returns:
The node containing the label, or None if not found
Examples:
>>> tree = RedBlackTree(5)
>>> node = tree.search(5)
>>> node.label
5
>>> tree.search(10) is None
True
"""
if self.label == label:
return self
elif self.label is not None and label > self.label:
if self.right is None:
return None
else:
return self.right.search(label)
elif self.left is None:
return None
else:
return self.left.search(label)
def floor(self, label: int) -> int | None:
"""Find the largest element <= label.
Args:
label: The value to find the floor of
Returns:
The floor value, or None if no such element exists
Examples:
>>> tree = RedBlackTree(5)
>>> tree = tree.insert(3).insert(7)
>>> tree.floor(6)
5
>>> tree.floor(2) is None
True
"""
if self.label == label:
return self.label
elif self.label is not None and self.label > label:
if self.left:
return self.left.floor(label)
else:
return None
else:
if self.right:
attempt = self.right.floor(label)
if attempt is not None:
return attempt
return self.label
def ceil(self, label: int) -> int | None:
"""Find the smallest element >= label.
Args:
label: The value to find the ceil of
Returns:
The ceil value, or None if no such element exists
Examples:
>>> tree = RedBlackTree(5)
>>> tree = tree.insert(3).insert(7)
>>> tree.ceil(6)
7
>>> tree.ceil(8) is None
True
"""
if self.label == label:
return self.label
elif self.label is not None and self.label < label:
if self.right:
return self.right.ceil(label)
else:
return None
else:
if self.left:
attempt = self.left.ceil(label)
if attempt is not None:
return attempt
return self.label
def get_max(self) -> int | None:
"""Get the maximum element in the tree.
Returns:
The maximum value, or None if the tree is empty
Examples:
>>> tree = RedBlackTree(5)
>>> tree = tree.insert(3).insert(7)
>>> tree.get_max()
7
"""
if self.right:
return self.right.get_max()
else:
return self.label
def get_min(self) -> int | None:
"""Get the minimum element in the tree.
Returns:
The minimum value, or None if the tree is empty
Examples:
>>> tree = RedBlackTree(5)
>>> tree = tree.insert(3).insert(7)
>>> tree.get_min()
3
"""
if self.left:
return self.left.get_min()
else:
return self.label
@property
def grandparent(self) -> RedBlackTree | None:
"""Get the grandparent of this node."""
if self.parent is None:
return None
else:
return self.parent.parent
@property
def sibling(self) -> RedBlackTree | None:
"""Get the sibling of this node."""
if self.parent is None:
return None
elif self.parent.left is self:
return self.parent.right
else:
return self.parent.left
def is_left(self) -> bool:
"""Check if this node is the left child of its parent."""
if self.parent is None:
return False
return self.parent.left is self
def is_right(self) -> bool:
"""Check if this node is the right child of its parent."""
if self.parent is None:
return False
return self.parent.right is self
def __bool__(self) -> bool:
"""Return True if the tree is not empty."""
return True
def __len__(self) -> int:
"""Return the number of nodes in the tree.
Examples:
>>> tree = RedBlackTree(5)
>>> tree = tree.insert(3).insert(7)
>>> len(tree)
3
"""
ln = 1
if self.left:
ln += len(self.left)
if self.right:
ln += len(self.right)
return ln
def preorder_traverse(self) -> Iterator[int | None]:
"""Traverse the tree in pre-order.
Yields:
The values in pre-order
Examples:
>>> tree = RedBlackTree(2)
>>> tree.left = RedBlackTree(1)
>>> tree.right = RedBlackTree(3)
>>> list(tree.preorder_traverse())
[2, 1, 3]
"""
yield self.label
if self.left:
yield from self.left.preorder_traverse()
if self.right:
yield from self.right.preorder_traverse()
def inorder_traverse(self) -> Iterator[int | None]:
"""Traverse the tree in in-order.
Yields:
The values in in-order
Examples:
>>> tree = RedBlackTree(2)
>>> tree.left = RedBlackTree(1)
>>> tree.right = RedBlackTree(3)
>>> list(tree.inorder_traverse())
[1, 2, 3]
"""
if self.left:
yield from self.left.inorder_traverse()
yield self.label
if self.right:
yield from self.right.inorder_traverse()
def postorder_traverse(self) -> Iterator[int | None]:
"""Traverse the tree in post-order.
Yields:
The values in post-order
Examples:
>>> tree = RedBlackTree(2)
>>> tree.left = RedBlackTree(1)
>>> tree.right = RedBlackTree(3)
>>> list(tree.postorder_traverse())
[1, 3, 2]
"""
if self.left:
yield from self.left.postorder_traverse()
if self.right:
yield from self.right.postorder_traverse()
yield self.label
def __repr__(self) -> str:
"""Return a string representation of the tree."""
if self.left is None and self.right is None:
return f"'{self.label} {(self.color and 'red') or 'blk'}'"
return pformat(
{
f"{self.label} {(self.color and 'red') or 'blk'}": (
self.left,
self.right,
)
},
indent=1,
)
def __eq__(self, other: object) -> bool:
"""Test if two trees are equal."""
if not isinstance(other, RedBlackTree):
return NotImplemented
if self.label == other.label:
return self.left == other.left and self.right == other.right
else:
return False
def __hash__(self):
"""Return a hash value for the node."""
return hash((self.label, self.color))
def color(node: RedBlackTree | None) -> int:
"""Returns the color of a node, allowing for None leaves."""
if node is None:
return 0
else:
return node.color
"""
Code for testing the various
functions of the red-black tree.
"""
def test_rotations() -> bool:
"""Test that the rotate_left and rotate_right functions work."""
tree = RedBlackTree(0)
tree.left = RedBlackTree(-10, parent=tree)
tree.right = RedBlackTree(10, parent=tree)
tree.left.left = RedBlackTree(-20, parent=tree.left)
tree.left.right = RedBlackTree(-5, parent=tree.left)
tree.right.left = RedBlackTree(5, parent=tree.right)
tree.right.right = RedBlackTree(20, parent=tree.right)
left_rot = RedBlackTree(10)
left_rot.left = RedBlackTree(0, parent=left_rot)
left_rot.left.left = RedBlackTree(-10, parent=left_rot.left)
left_rot.left.right = RedBlackTree(5, parent=left_rot.left)
left_rot.left.left.left = RedBlackTree(-20, parent=left_rot.left.left)
left_rot.left.left.right = RedBlackTree(-5, parent=left_rot.left.left)
left_rot.right = RedBlackTree(20, parent=left_rot)
tree = tree.rotate_left()
if tree != left_rot:
return False
tree = tree.rotate_right()
tree = tree.rotate_right()
right_rot = RedBlackTree(-10)
right_rot.left = RedBlackTree(-20, parent=right_rot)
right_rot.right = RedBlackTree(0, parent=right_rot)
right_rot.right.left = RedBlackTree(-5, parent=right_rot.right)
right_rot.right.right = RedBlackTree(10, parent=right_rot.right)
right_rot.right.right.left = RedBlackTree(5, parent=right_rot.right.right)
right_rot.right.right.right = RedBlackTree(20, parent=right_rot.right.right)
return tree == right_rot
def test_insertion_speed() -> bool:
"""Test that the tree balances inserts to O(log(n)) by doing a lot
of them.
"""
tree = RedBlackTree(-1)
for i in range(300000):
tree = tree.insert(i)
return True
def test_insert() -> bool:
"""Test the insert() method of the tree correctly balances, colors,
and inserts.
"""
tree = RedBlackTree(0)
tree.insert(8)
tree.insert(-8)
tree.insert(4)
tree.insert(12)
tree.insert(10)
tree.insert(11)
ans = RedBlackTree(0, 0)
ans.left = RedBlackTree(-8, 0, ans)
ans.right = RedBlackTree(8, 1, ans)
ans.right.left = RedBlackTree(4, 0, ans.right)
ans.right.right = RedBlackTree(11, 0, ans.right)
ans.right.right.left = RedBlackTree(10, 1, ans.right.right)
ans.right.right.right = RedBlackTree(12, 1, ans.right.right)
return tree == ans
def test_insert_and_search() -> bool:
"""Tests searching through the tree for values."""
tree = RedBlackTree(0)
tree.insert(8)
tree.insert(-8)
tree.insert(4)
tree.insert(12)
tree.insert(10)
tree.insert(11)
if any(i in tree for i in (5, -6, -10, 13)):
return False
return all(i in tree for i in (11, 12, -8, 0))
def test_insert_delete() -> bool:
"""Test the insert() and delete() method of the tree."""
tree = RedBlackTree(0)
tree = tree.insert(-12)
tree = tree.insert(8)
tree = tree.insert(-8)
tree = tree.insert(15)
tree = tree.insert(4)
tree = tree.insert(12)
tree = tree.insert(10)
tree = tree.insert(9)
tree = tree.insert(11)
tree = tree.remove(15)
tree = tree.remove(-12)
tree = tree.remove(9)
if not tree.check_color_properties():
return False
return list(tree.inorder_traverse()) == [-8, 0, 4, 8, 10, 11, 12]
def test_floor_ceil() -> bool:
"""Tests the floor and ceiling functions in the tree."""
tree = RedBlackTree(0)
tree.insert(-16)
tree.insert(16)
tree.insert(8)
tree.insert(24)
tree.insert(20)
tree.insert(22)
tuples = [(-20, None, -16), (-10, -16, 0), (8, 8, 8), (50, 24, None)]
for val, floor, ceil in tuples:
if tree.floor(val) != floor or tree.ceil(val) != ceil:
return False
return True
def test_min_max() -> bool:
"""Tests the min and max functions in the tree."""
tree = RedBlackTree(0)
tree.insert(-16)
tree.insert(16)
tree.insert(8)
tree.insert(24)
tree.insert(20)
tree.insert(22)
return not (tree.get_max() != 22 or tree.get_min() != -16)
def test_tree_traversal() -> bool:
"""Tests the three different tree traversal functions."""
tree = RedBlackTree(0)
tree = tree.insert(-16)
tree.insert(16)
tree.insert(8)
tree.insert(24)
tree.insert(20)
tree.insert(22)
if list(tree.inorder_traverse()) != [-16, 0, 8, 16, 20, 22, 24]:
return False
if list(tree.preorder_traverse()) != [0, -16, 16, 8, 22, 20, 24]:
return False
return list(tree.postorder_traverse()) == [-16, 8, 20, 24, 22, 16, 0]
def test_tree_chaining() -> bool:
"""Tests the three different tree chaining functions."""
tree = RedBlackTree(0)
tree = tree.insert(-16).insert(16).insert(8).insert(24).insert(20).insert(22)
if list(tree.inorder_traverse()) != [-16, 0, 8, 16, 20, 22, 24]:
return False
if list(tree.preorder_traverse()) != [0, -16, 16, 8, 22, 20, 24]:
return False
return list(tree.postorder_traverse()) == [-16, 8, 20, 24, 22, 16, 0]
def print_results(msg: str, passes: bool) -> None:
print(str(msg), "works!" if passes else "doesn't work :(")
def pytests() -> None:
assert test_rotations()
assert test_insert()
assert test_insert_and_search()
assert test_insert_delete()
assert test_floor_ceil()
assert test_tree_traversal()
assert test_tree_chaining()
def main() -> None:
"""
>>> pytests()
"""
import doctest
failures, _ = doctest.testmod()
if failures == 0:
print("All doctests passed!")
else:
print(f"{failures} doctests failed!")
print_results("Rotating right and left", test_rotations())
print_results("Inserting", test_insert())
print_results("Searching", test_insert_and_search())
print_results("Deleting", test_insert_delete())
print_results("Floor and ceil", test_floor_ceil())
print_results("Tree traversal", test_tree_traversal())
print_results("Tree chaining", test_tree_chaining())
print("Testing tree balancing...")
print("This should only be a few seconds.")
test_insertion_speed()
print("Done!")
if __name__ == "__main__":
main()