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-rw-r--r--test/math/gauss.cpp118
1 files changed, 118 insertions, 0 deletions
diff --git a/test/math/gauss.cpp b/test/math/gauss.cpp
new file mode 100644
index 0000000..37bacce
--- /dev/null
+++ b/test/math/gauss.cpp
@@ -0,0 +1,118 @@
+#include "../util.h"
+constexpr double EPS = 1e-9;
+constexpr int UNIQUE = 1;
+constexpr int INCONSISTENT = 2;
+constexpr int MULTIPLE = 3;
+vector<vector<double>> mat;
+#include <math/gauss.cpp>
+
+vector<vector<double>> inverseMat(const vector<vector<double>>& m) {
+ int n = sz(m);
+ mat = m;
+ for (int i = 0; i < n; i++) {
+ if (sz(mat[i]) != n) cerr << "error: no square matrix" << FAIL;
+ mat[i].resize(2*n);
+ mat[i][n+i] = 1;
+ }
+ gauss(n);//the unique cetc. checks are not usefull since we dont solve an lgs...
+ vector<vector<double>> res(m);
+ for (int i = 0; i < n; i++) {
+ res[i] = vector<double>(mat[i].begin() + n, mat[i].end());
+ for (int j = 0; j < n; j++) {
+ if (j != i && mat[i][j] != 0) cerr << "error: not full rank?" << FAIL;
+ if (j == i && mat[i][j] == 0) cerr << "error: not full rank?" << FAIL;
+ }
+ }
+ return res;
+}
+
+vector<vector<double>> mul(const vector<vector<double>>& a, const vector<vector<double>>& b) {
+ int n = sz(a);
+ int m = sz(b[0]);
+ int x = sz(b);
+ if (sz(a[0]) != sz(b)) cerr << "error: wrong dimensions" << FAIL;
+ vector<vector<double>> res(n, vector<double>(m));
+ for (int i = 0; i < n; i++) {
+ for (int j = 0; j < m; j++) {
+ for (int k = 0; k < x; k++) {
+ res[i][j] += a[i][k] * b[k][j];
+ }
+ }
+ }
+ return res;
+}
+
+void test_tiny() {
+ mat = {
+ {1, 2, 3, 4},
+ {0, 5, 6, 7},
+ {0, 0, 8, 9},
+ };
+ if (gauss(sz(mat)) != UNIQUE) cerr << "error: 1" << FAIL;
+
+ mat = {
+ {-1, 1, 0, -1},
+ { 2, 6, 0, 10},
+ { 1, -2, 0, 0},
+ };
+ if (gauss(sz(mat)) != MULTIPLE) cerr << "error: 2" << FAIL;
+
+ mat = {
+ {-1, 1, 0, -1},
+ { 2, 6, 0, 10},
+ { 1, -2, 0, 1},
+ };
+ if (gauss(sz(mat)) != INCONSISTENT) cerr << "error: 3" << FAIL;
+}
+
+void stress_test_inv() {
+ ll queries = 0;
+ for (int tries = 0; tries < 20'000; tries++) {
+ int n = Random::integer<int>(1, 30);
+
+ vector<vector<double>> m(n);
+ for (auto& v : m) v = Random::reals<double>(n, 0, 1'000);
+ // m hopefully has full rank...
+
+ auto inv = inverseMat(m);
+
+ auto prod = mul(m, inv);
+
+ for (int i = 0; i < n; i++) {
+ for (int j = 0; j < n; j++) {
+ if (i == j && abs(prod[i][j] - 1) >= EPS) cerr << "error: not inverted " << prod[i][j] << FAIL;
+ if (i != j && abs(prod[i][j] - 0) >= EPS) cerr << "error: not inverted " << prod[i][j] << FAIL;
+ }
+ }
+
+ queries += n;
+ }
+ cerr << "tested random queries: " << queries << endl;
+}
+
+constexpr int N = 250;
+void performance_test() {
+ timer t;
+
+ vector<vector<double>> m(N);
+ for (auto& v : m) v = Random::reals<double>(N, 0, 1'000);
+ mat = m;
+
+ t.start();
+ gauss(N);
+ t.stop();
+ hash_t hash = 0;
+ for (int i = 0; i < N; i++) {
+ for (int j = 0; j < N; j++) {
+ hash += mat[i][j];
+ }
+ }
+ if (t.time > 500) cerr << "too slow: " << t.time << FAIL;
+ cerr << "tested performance: " << t.time << "ms (hash: " << hash << ")" << endl;
+}
+
+int main() {
+ test_tiny();
+ stress_test_inv();
+ performance_test();
+}