Kahn algorithm repeatedly removes vertices with no incoming edges.
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 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 | #include <stdio.h> #include <vector> #include <algorithm> #include <stdexcept> #include <cstdint> #include <limits> // Kahn Topological Cycle Detection in C++ // // PURPOSE // Kahn algorithm repeatedly removes vertices with no incoming edges. A directed graph has a // topological ordering exactly when all vertices can be removed this way. // // METHOD // Compute indegrees, queue every zero-indegree vertex, then remove its outgoing edges. // Enqueue a neighbor when its indegree becomes zero. Compare the number removed with n. // // COMPLEXITY // O(n squared) time with an adjacency matrix and O(n) auxiliary space. Adjacency lists give // O(V+E). // // CONTRACT // Flattened n by n 0/1 directed matrix. Returns 1 for a DAG and 0 for a cycle. Empty graph // is a DAG. This variant reports existence rather than returning an ordering. // 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 // C++17: const vector references for inputs, mutable references for outputs, RAII workspace, // standard lower_bound for LIS. Invalid inputs throw invalid_argument; overflow throws // overflow_error; allocation failure propagates bad_alloc. // // EXAMPLE // Expected return: 1. // Run: g++ -std=c++17 -O2 example.cpp -o example && ./example // Tests for this exact source artifact run before publication. The accompanying source // archive includes unit cases, runtime results, and source hashes. static int alg_min(int a, int b) { return a < b ? a : b; } static int alg_max(int a, int b) { return a > b ? a : b; } static void alg_require(bool valid) { if (!valid) throw std::invalid_argument("invalid algorithm input"); } static int alg_checked(int64_t v) { if (v < INT32_MIN || v > INT32_MAX) throw std::overflow_error("32-bit result overflow"); return (int)v; } static int alg_add(int a,int b) { return alg_checked((int64_t)a+b); } static int alg_sub(int a,int b) { return alg_checked((int64_t)a-b); } static int alg_mul(int a,int b) { return alg_checked((int64_t)a*b); } static size_t alg_size(int n) { alg_require(n>=0 && n<=4000000); return (size_t)n; } int is_dag(const std::vector<int>& graph, int n) { alg_require(graph.size() <= 1000000); alg_require(((n >= 0) && (n <= 1000000))); alg_require(((int)graph.size() == alg_mul(n, n))); std::vector<int> indegree(alg_size(alg_add(n, 1)), 0); std::vector<int> queue(alg_size(alg_add(n, 1)), 0); int u = 0; int v = 0; int head = 0; int tail = 0; while ((u < n)) { v = 0; while ((v < n)) { if ((graph[alg_add(alg_mul(u, n), v)] != 0)) { indegree[v] = alg_add(indegree[v], 1); } v = alg_add(v, 1); } u = alg_add(u, 1); } v = 0; while ((v < n)) { if ((indegree[v] == 0)) { queue[tail] = v; tail = alg_add(tail, 1); } v = alg_add(v, 1); } while ((head < tail)) { u = queue[head]; head = alg_add(head, 1); v = 0; while ((v < n)) { if ((graph[alg_add(alg_mul(u, n), v)] != 0)) { indegree[v] = alg_sub(indegree[v], 1); if ((indegree[v] == 0)) { queue[tail] = v; tail = alg_add(tail, 1); } } v = alg_add(v, 1); } } if ((tail == n)) { return 1; } return 0; } int main(void) { std::vector<int> graph = {0, 1, 0, 0, 0, 1, 0, 0, 0}; int n = 3; int result = is_dag(graph, n); printf("%d\n", result); return 0; } |