166 lines
4.7 KiB
Python
166 lines
4.7 KiB
Python
from node import Node, Comparable, RotateFunction
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from ranked_tree import RankedTree
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import enum
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import logging
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from typing import Callable, Tuple, TypeVar, Optional
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logger = logging.getLogger(__name__)
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T = TypeVar("T", bound=Comparable)
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class Colour(enum.IntEnum):
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Red = 0
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Black = 1
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def is_double_black(x: Optional[Node]) -> bool:
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return x and 2 in Node.differences(x)
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class RBTree(RankedTree[T]):
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def is_correct_node(
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self, node: Optional[Node[T]], recursive: bool = True
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) -> bool:
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if not node:
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return True
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left, right = Node.differences(node)
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if left not in (Colour.Red, Colour.Black):
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# left subtree has invalid difference
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return False
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elif right not in (Colour.Red, Colour.Black):
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# right subtree has invalid difference
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return False
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if Node.difference(node) == Colour.Red and (
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left == Colour.Red or right == Colour.Red
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):
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# two consecutive red nodes
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return False
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return not recursive or (
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self.is_correct_node(node.left)
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and self.is_correct_node(node.right)
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)
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# region InsertRebalance
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def _insert_rebalance_step(
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self,
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z: Node[T],
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y: Optional[Node[T]],
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right_child: Node[T],
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rotate_left: RotateFunction,
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rotate_right: RotateFunction,
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) -> Node[T]:
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p = z.parent
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pp = p.parent
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if y is not None and Node.difference(y) == Colour.Red:
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# Case 1
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# ======
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# z’s uncle y is red
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pp.rank += 1
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z = pp
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elif z == right_child:
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# Case 2
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# ======
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# z’s uncle y is black and z is a right child
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z = p
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rotate_left(tree=self, x=p)
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else:
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# Case 3
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# ======
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# z’s uncle y is black and z is a left child
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rotate_right(tree=self, x=pp)
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return z
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def _insert_rebalance(self, z: Node[T]) -> None:
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while z.parent is not None and Node.difference(z.parent) == Colour.Red:
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p = z.parent
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pp = p.parent
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assert pp
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if p == pp.left:
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z = self._insert_rebalance_step(
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z, pp.right, p.right, Node.rotate_left, Node.rotate_right
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)
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else:
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z = self._insert_rebalance_step(
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z, pp.left, p.left, Node.rotate_right, Node.rotate_left
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)
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# endregion InsertRebalance
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# region DeleteRebalance
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def _delete_rebalance_step(
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self,
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x: Node[T],
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w: Node[T],
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parent: Node[T],
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right: Callable[[Node[T]], Node[T]],
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rotate_left: RotateFunction,
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rotate_right: RotateFunction,
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) -> Tuple[Optional[Node[T]], Optional[Node[T]]]:
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if Node.difference(w) == 0:
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# Case 1
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# ======
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# x’s sibling w is red
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rotate_left(tree=self, x=parent)
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w = right(parent)
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if Node.differences(w) == (1, 1):
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# Case 2
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# ======
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# x’s sibling w is black, and both of w’s children are black
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parent.rank -= 1
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x = parent
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else:
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# Case 3
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# ======
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# x’s sibling w is black,
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# w’s left child is red, and w’s right child is black
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if Node.difference(right(w), w) == 1:
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rotate_right(tree=self, x=w)
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w = right(parent)
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# Case 4
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# ======
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# x’s sibling w is black, and w’s right child is red
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parent.rank -= 1
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w.rank += 1
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rotate_left(tree=self, x=parent)
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x = self.root
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return x, (x.parent if x else None)
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def _delete_rebalance(
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self, node: Optional[Node[T]], parent: Optional[Node[T]]
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) -> None:
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if not node and not parent:
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return
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while node != self.root and is_double_black(parent):
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if node == parent.left:
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node, parent = self._delete_rebalance_step(
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node,
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parent.right,
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parent,
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lambda x: x.right,
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Node.rotate_left,
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Node.rotate_right,
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)
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else:
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node, parent = self._delete_rebalance_step(
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node,
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parent.left,
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parent,
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lambda x: x.left,
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Node.rotate_right,
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Node.rotate_left,
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)
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# endregion DeleteRebalance
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