""" Based on "Skip Lists: A Probabilistic Alternative to Balanced Trees" by William Pugh https://epaperpress.com/sortsearch/download/skiplist.pdf """ from __future__ import annotations from random import random from typing import Generic, TypeVar KT = TypeVar("KT") VT = TypeVar("VT") class Node(Generic[KT, VT]): def __init__(self, key: KT | str = "root", value: VT | None = None): self.key = key self.value = value self.forward: list[Node[KT, VT]] = [] def __repr__(self) -> str: """ :return: Visual representation of Node >>> node = Node("Key", 2) >>> repr(node) 'Node(Key: 2)' """ return f"Node({self.key}: {self.value})" @property def level(self) -> int: """ :return: Number of forward references >>> node = Node("Key", 2) >>> node.level 0 >>> node.forward.append(Node("Key2", 4)) >>> node.level 1 >>> node.forward.append(Node("Key3", 6)) >>> node.level 2 """ return len(self.forward) class SkipList(Generic[KT, VT]): def __init__(self, p: float = 0.5, max_level: int = 16): self.head: Node[KT, VT] = Node[KT, VT]() self.level = 0 self.p = p self.max_level = max_level def __str__(self) -> str: """ :return: Visual representation of SkipList >>> skip_list = SkipList() >>> print(skip_list) SkipList(level=0) >>> skip_list.insert("Key1", "Value") >>> print(skip_list) # doctest: +ELLIPSIS SkipList(level=... [root]--... [Key1]--Key1... None *... >>> skip_list.insert("Key2", "OtherValue") >>> print(skip_list) # doctest: +ELLIPSIS SkipList(level=... [root]--... [Key1]--Key1... [Key2]--Key2... None *... """ items = list(self) if len(items) == 0: return f"SkipList(level={self.level})" label_size = max((len(str(item)) for item in items), default=4) label_size = max(label_size, 4) + 4 node = self.head lines = [] forwards = node.forward.copy() lines.append(f"[{node.key}]".ljust(label_size, "-") + "* " * len(forwards)) lines.append(" " * label_size + "| " * len(forwards)) while len(node.forward) != 0: node = node.forward[0] lines.append( f"[{node.key}]".ljust(label_size, "-") + " ".join(str(n.key) if n.key == node.key else "|" for n in forwards) ) lines.append(" " * label_size + "| " * len(forwards)) forwards[: node.level] = node.forward lines.append("None".ljust(label_size) + "* " * len(forwards)) return f"SkipList(level={self.level})\n" + "\n".join(lines) def __iter__(self): node = self.head while len(node.forward) != 0: yield node.forward[0].key node = node.forward[0] def random_level(self) -> int: """ :return: Random level from [1, self.max_level] interval. Higher values are less likely. """ level = 1 while random() < self.p and level < self.max_level: level += 1 return level def _locate_node(self, key) -> tuple[Node[KT, VT] | None, list[Node[KT, VT]]]: """ :param key: Searched key, :return: Tuple with searched node (or None if given key is not present) and list of nodes that refer (if key is present) of should refer to given node. """ # Nodes with refer or should refer to output node update_vector = [] node = self.head for i in reversed(range(self.level)): # i < node.level - When node level is lesser than `i` decrement `i`. # node.forward[i].key < key - Jumping to node with key value higher # or equal to searched key would result # in skipping searched key. while i < node.level and node.forward[i].key < key: node = node.forward[i] # Each leftmost node (relative to searched node) will potentially have to # be updated. update_vector.append(node) update_vector.reverse() # Note that we were inserting values in reverse order. # len(node.forward) != 0 - If current node doesn't contain any further # references then searched key is not present. # node.forward[0].key == key - Next node key should be equal to search key # if key is present. if len(node.forward) != 0 and node.forward[0].key == key: return node.forward[0], update_vector else: return None, update_vector def delete(self, key: KT): """ :param key: Key to remove from list. >>> skip_list = SkipList() >>> skip_list.insert(2, "Two") >>> skip_list.insert(1, "One") >>> skip_list.insert(3, "Three") >>> list(skip_list) [1, 2, 3] >>> skip_list.delete(2) >>> list(skip_list) [1, 3] """ node, update_vector = self._locate_node(key) if node is not None: for i, update_node in enumerate(update_vector): # Remove or replace all references to removed node. if update_node.level > i and update_node.forward[i].key == key: if node.level > i: update_node.forward[i] = node.forward[i] else: update_node.forward = update_node.forward[:i] def insert(self, key: KT, value: VT): """ :param key: Key to insert. :param value: Value associated with given key. >>> skip_list = SkipList() >>> skip_list.insert(2, "Two") >>> skip_list.find(2) 'Two' >>> list(skip_list) [2] """ node, update_vector = self._locate_node(key) if node is not None: node.value = value else: level = self.random_level() if level > self.level: # After level increase we have to add additional nodes to head. for _ in range(self.level - 1, level): update_vector.append(self.head) self.level = level new_node = Node(key, value) for i, update_node in enumerate(update_vector[:level]): # Change references to pass through new node. if update_node.level > i: new_node.forward.append(update_node.forward[i]) if update_node.level < i + 1: update_node.forward.append(new_node) else: update_node.forward[i] = new_node def find(self, key: VT) -> VT | None: """ :param key: Search key. :return: Value associated with given key or None if given key is not present. >>> skip_list = SkipList() >>> skip_list.find(2) >>> skip_list.insert(2, "Two") >>> skip_list.find(2) 'Two' >>> skip_list.insert(2, "Three") >>> skip_list.find(2) 'Three' """ node, _ = self._locate_node(key) if node is not None: return node.value return None def test_insert(): skip_list = SkipList() skip_list.insert("Key1", 3) skip_list.insert("Key2", 12) skip_list.insert("Key3", 41) skip_list.insert("Key4", -19) node = skip_list.head all_values = {} while node.level != 0: node = node.forward[0] all_values[node.key] = node.value assert len(all_values) == 4 assert all_values["Key1"] == 3 assert all_values["Key2"] == 12 assert all_values["Key3"] == 41 assert all_values["Key4"] == -19 def test_insert_overrides_existing_value(): skip_list = SkipList() skip_list.insert("Key1", 10) skip_list.insert("Key1", 12) skip_list.insert("Key5", 7) skip_list.insert("Key7", 10) skip_list.insert("Key10", 5) skip_list.insert("Key7", 7) skip_list.insert("Key5", 5) skip_list.insert("Key10", 10) node = skip_list.head all_values = {} while node.level != 0: node = node.forward[0] all_values[node.key] = node.value if len(all_values) != 4: print() assert len(all_values) == 4 assert all_values["Key1"] == 12 assert all_values["Key7"] == 7 assert all_values["Key5"] == 5 assert all_values["Key10"] == 10 def test_searching_empty_list_returns_none(): skip_list = SkipList() assert skip_list.find("Some key") is None def test_search(): skip_list = SkipList() skip_list.insert("Key2", 20) assert skip_list.find("Key2") == 20 skip_list.insert("Some Key", 10) skip_list.insert("Key2", 8) skip_list.insert("V", 13) assert skip_list.find("Y") is None assert skip_list.find("Key2") == 8 assert skip_list.find("Some Key") == 10 assert skip_list.find("V") == 13 def test_deleting_item_from_empty_list_do_nothing(): skip_list = SkipList() skip_list.delete("Some key") assert len(skip_list.head.forward) == 0 def test_deleted_items_are_not_founded_by_find_method(): skip_list = SkipList() skip_list.insert("Key1", 12) skip_list.insert("V", 13) skip_list.insert("X", 14) skip_list.insert("Key2", 15) skip_list.delete("V") skip_list.delete("Key2") assert skip_list.find("V") is None assert skip_list.find("Key2") is None def test_delete_removes_only_given_key(): skip_list = SkipList() skip_list.insert("Key1", 12) skip_list.insert("V", 13) skip_list.insert("X", 14) skip_list.insert("Key2", 15) skip_list.delete("V") assert skip_list.find("V") is None assert skip_list.find("X") == 14 assert skip_list.find("Key1") == 12 assert skip_list.find("Key2") == 15 skip_list.delete("X") assert skip_list.find("V") is None assert skip_list.find("X") is None assert skip_list.find("Key1") == 12 assert skip_list.find("Key2") == 15 skip_list.delete("Key1") assert skip_list.find("V") is None assert skip_list.find("X") is None assert skip_list.find("Key1") is None assert skip_list.find("Key2") == 15 skip_list.delete("Key2") assert skip_list.find("V") is None assert skip_list.find("X") is None assert skip_list.find("Key1") is None assert skip_list.find("Key2") is None def test_delete_doesnt_leave_dead_nodes(): skip_list = SkipList() skip_list.insert("Key1", 12) skip_list.insert("V", 13) skip_list.insert("X", 142) skip_list.insert("Key2", 15) skip_list.delete("X") def traverse_keys(node): yield node.key for forward_node in node.forward: yield from traverse_keys(forward_node) assert len(set(traverse_keys(skip_list.head))) == 4 def test_iter_always_yields_sorted_values(): def is_sorted(lst): for item, next_item in zip(lst, lst[1:]): if next_item < item: return False return True skip_list = SkipList() for i in range(10): skip_list.insert(i, i) assert is_sorted(list(skip_list)) skip_list.delete(5) skip_list.delete(8) skip_list.delete(2) assert is_sorted(list(skip_list)) skip_list.insert(-12, -12) skip_list.insert(77, 77) assert is_sorted(list(skip_list)) def pytests(): for _ in range(100): # Repeat test 100 times due to the probabilistic nature of skip list # random values == random bugs test_insert() test_insert_overrides_existing_value() test_searching_empty_list_returns_none() test_search() test_deleting_item_from_empty_list_do_nothing() test_deleted_items_are_not_founded_by_find_method() test_delete_removes_only_given_key() test_delete_doesnt_leave_dead_nodes() test_iter_always_yields_sorted_values() def main(): """ >>> pytests() """ skip_list = SkipList() skip_list.insert(2, "2") skip_list.insert(4, "4") skip_list.insert(6, "4") skip_list.insert(4, "5") skip_list.insert(8, "4") skip_list.insert(9, "4") skip_list.delete(4) print(skip_list) if __name__ == "__main__": main()