3 """This is an augmented interval tree for storing ranges and identifying overlaps as
4 described by: https://en.wikipedia.org/wiki/Interval_tree.
7 from __future__ import annotations
9 from functools import total_ordering
10 from typing import Any, Generator, Optional, Union
12 from overrides import overrides
14 from pyutils.collectionz import bst
16 Numeric = Union[int, float]
20 class NumericRange(object):
21 """Essentially a tuple of numbers denoting a range with some added
22 helper methods on it."""
24 def __init__(self, low: Numeric, high: Numeric):
25 """Creates a NumericRange.
28 low: the lowest point in the range (inclusive).
29 high: the highest point in the range (inclusive).
33 If low > high this code swaps the parameters and keeps the range
41 self.low: Numeric = low
42 self.high: Numeric = high
43 self.highest_in_subtree: Numeric = high
45 def __lt__(self, other: NumericRange) -> bool:
48 True is this range is less than (lower low) other, else False.
50 return self.low < other.low
53 def __eq__(self, other: object) -> bool:
56 True if this is the same range as other, else False.
58 if not isinstance(other, NumericRange):
60 return self.low == other.low and self.high == other.high
62 def overlaps_with(self, other: NumericRange) -> bool:
65 True if this NumericRange overlaps with other, else False.
67 return self.low <= other.high and self.high >= other.low
69 def __repr__(self) -> str:
70 return f"{self.low}..{self.high}"
73 class AugmentedIntervalTree(bst.BinarySearchTree):
75 def _assert_value_must_be_range(value: Any) -> None:
76 if not isinstance(value, NumericRange):
78 "AugmentedIntervalTree expects to use NumericRanges, see bst for a "
79 + "general purpose tree usable for other types."
83 def _on_insert(self, parent: Optional[bst.Node], new: bst.Node) -> None:
84 AugmentedIntervalTree._assert_value_must_be_range(new.value)
85 for ancestor in self.parent_path(new):
87 if new.value.high > ancestor.value.highest_in_subtree:
88 ancestor.value.highest_in_subtree = new.value.high
91 def _on_delete(self, parent: Optional[bst.Node], deleted: bst.Node) -> None:
93 new_highest_candidates = [parent.value.high]
95 new_highest_candidates.append(parent.left.value.highest_in_subtree)
97 new_highest_candidates.append(parent.right.value.highest_in_subtree)
98 parent.value.highest_in_subtree = max(new_highest_candidates)
100 def find_one_overlap(self, to_find: NumericRange) -> Optional[NumericRange]:
101 """Identify and return one overlapping node from the tree.
104 to_find: the interval with which to find an overlap.
107 An overlapping range from the tree or None if no such
108 ranges exist in the tree at present.
110 >>> tree = AugmentedIntervalTree()
111 >>> tree.insert(NumericRange(20, 24))
112 >>> tree.insert(NumericRange(18, 22))
113 >>> tree.insert(NumericRange(14, 16))
114 >>> tree.insert(NumericRange(1, 30))
115 >>> tree.insert(NumericRange(25, 30))
116 >>> tree.insert(NumericRange(29, 33))
117 >>> tree.insert(NumericRange(5, 12))
118 >>> tree.insert(NumericRange(1, 6))
119 >>> tree.insert(NumericRange(13, 18))
120 >>> tree.insert(NumericRange(16, 28))
121 >>> tree.insert(NumericRange(21, 27))
122 >>> tree.find_one_overlap(NumericRange(6, 7))
126 return self._find_one_overlap(self.root, to_find)
128 def _find_one_overlap(
129 self, root: bst.Node, x: NumericRange
130 ) -> Optional[NumericRange]:
134 if root.value.overlaps_with(x):
138 if root.left.value.highest_in_subtree >= x.low:
139 return self._find_one_overlap(root.left, x)
142 return self._find_one_overlap(root.right, x)
145 def find_all_overlaps(
146 self, to_find: NumericRange
147 ) -> Generator[NumericRange, None, None]:
148 """Yields ranges previously added to the tree that overlaps with
152 to_find: the interval with which to find all overlaps.
155 A (potentially empty) sequence of all ranges in the tree
156 that overlap with the argument.
158 >>> tree = AugmentedIntervalTree()
159 >>> tree.insert(NumericRange(20, 24))
160 >>> tree.insert(NumericRange(18, 22))
161 >>> tree.insert(NumericRange(14, 16))
162 >>> tree.insert(NumericRange(1, 30))
163 >>> tree.insert(NumericRange(25, 30))
164 >>> tree.insert(NumericRange(29, 33))
165 >>> tree.insert(NumericRange(5, 12))
166 >>> tree.insert(NumericRange(1, 6))
167 >>> tree.insert(NumericRange(13, 18))
168 >>> tree.insert(NumericRange(16, 28))
169 >>> tree.insert(NumericRange(21, 27))
170 >>> for x in tree.find_all_overlaps(NumericRange(19, 21)):
178 >>> del tree[NumericRange(1, 30)]
179 >>> for x in tree.find_all_overlaps(NumericRange(19, 21)):
187 if self.root is None:
189 yield from self._find_all_overlaps(self.root, to_find)
191 def _find_all_overlaps(
192 self, root: bst.Node, x: NumericRange
193 ) -> Generator[NumericRange, None, None]:
197 if root.value.overlaps_with(x):
201 if root.left.value.highest_in_subtree >= x.low:
202 yield from self._find_all_overlaps(root.left, x)
205 if root.right.value.highest_in_subtree >= x.low:
206 yield from self._find_all_overlaps(root.right, x)
209 if __name__ == "__main__":