A point assignment changes a leaf and recomputes only its ancestors..
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | from bisect import bisect_left # Iterative Segment Tree Point Assignment in Python # # PURPOSE # A point assignment changes a leaf and recomputes only its ancestors. # # METHOD # Write the new leaf value, move upward by dividing the index by two, and recompute each # parent from its children. # # COMPLEXITY # O(log n) time, O(1) auxiliary space. # # CONTRACT # tree is an existing iterative sum tree of length 2*n; n>=1, 0<=index<n. Mutates tree; # returns 0. # Public APIs infer array lengths except in C, which accepts pointer/length pairs. Vertex # counts and matrix dimensions remain explicit. Arrays must contain signed 32-bit integers. # Sorted order, correct tree topology, and caller-owned data-structure invariants are # preconditions; checking them on every query would change query complexity. # Scalar and shape checks are included. Value-range checks are included where needed to # prevent invalid indexing or nontermination. Allocation sizes are capped at 4,000,000 # workspace entries. Arithmetic outside Python raises an error on 32-bit overflow; Python # uses arbitrary precision. Native allocation failures propagate. In-place outputs may be # partly updated after arithmetic failure. These are single-threaded, in-memory # implementations. # # LANGUAGE DETAILS # Python 3.9+: automatic lengths, native lists, arbitrary-precision arithmetic, and # bisect_left for LIS. Invalid scalar/shape inputs raise ValueError. Integer element types # and sorted/tree invariants remain caller preconditions. # # EXAMPLE # Expected return: 0. # Expected tree after call: [0, 17, 10, 7, 1, 9, 3, 4]. # Run: python example.py # Tests for this exact source artifact run before publication. The accompanying source # archive includes unit cases, runtime results, and source hashes. def alg_require(condition): if not condition: raise ValueError("invalid algorithm input; see contract") def alg_size(n): alg_require(0 <= n <= 4000000) return n def segment_set(tree: list[int], index: int, value: int) -> int: alg_require(isinstance(tree, list) and len(tree) <= 1000000) alg_require(type(index) is int and -2147483648 <= index <= 2147483647) alg_require(type(value) is int and -2147483648 <= value <= 2147483647) n: int = len(tree) // 2 alg_require(n >= 0 and n <= 1000000) alg_require(len(tree) == 2 * n) alg_require(n >= 1 and index >= 0 and (index < n)) index += n tree[index] = value index = index // 2 while index > 0: tree[index] = tree[2 * index] + tree[2 * index + 1] index = index // 2 return 0 tree = [0, 10, 3, 7, 1, 2, 3, 4] index = 1 value = 9 result = segment_set(tree, index, value) print(result) # Expected tree: [0, 17, 10, 7, 1, 9, 3, 4] print(tree) |