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authorPatrick Simianer <p@simianer.de>2012-03-13 09:24:47 +0100
committerPatrick Simianer <p@simianer.de>2012-03-13 09:24:47 +0100
commitef6085e558e26c8819f1735425761103021b6470 (patch)
tree5cf70e4c48c64d838e1326b5a505c8c4061bff4a /utils/m_test.cc
parent10a232656a0c882b3b955d2bcfac138ce11e8a2e (diff)
parentdfbc278c1057555fda9312291c8024049e00b7d8 (diff)
merge with upstream
Diffstat (limited to 'utils/m_test.cc')
-rw-r--r--utils/m_test.cc91
1 files changed, 91 insertions, 0 deletions
diff --git a/utils/m_test.cc b/utils/m_test.cc
new file mode 100644
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+++ b/utils/m_test.cc
@@ -0,0 +1,91 @@
+#include "m.h"
+
+#include <iostream>
+#include <gtest/gtest.h>
+#include <cassert>
+
+using namespace std;
+
+class MTest : public testing::Test {
+ public:
+ MTest() {}
+ protected:
+ virtual void SetUp() { }
+ virtual void TearDown() { }
+};
+
+TEST_F(MTest, Densities) {
+ double px1 = Md::log_gaussian_density(1.0, 0.0, 1.0);
+ double px2 = Md::log_gaussian_density(-1.0, 0.0, 1.0);
+ double py1 = Md::log_laplace_density(1.0, 0.0, 1.0);
+ double py2 = Md::log_laplace_density(1.0, 0.0, 1.0);
+ double pz1 = Md::log_triangle_density(1.0, -2.0, 2.0, 0.0);
+ double pz2 = Md::log_triangle_density(1.0, -2.0, 2.0, 0.0);
+ cerr << px1 << " " << py1 << " " << pz2 << endl;
+ EXPECT_FLOAT_EQ(px1, px2);
+ EXPECT_FLOAT_EQ(py1, py2);
+ EXPECT_FLOAT_EQ(pz1, pz2);
+ double b1 = Md::log_bivariate_gaussian_density(1.0, -1.0, 0.0, 0.0, 1.0, 1.0, -0.8);
+ double b2 = Md::log_bivariate_gaussian_density(-1.0, 1.0, 0.0, 0.0, 1.0, 1.0, -0.8);
+ cerr << b1 << " " << b2 << endl;
+}
+
+TEST_F(MTest, Poisson) {
+ double prev = 1.0;
+ double tot = 0;
+ for (int i = 0; i < 10; ++i) {
+ double p = Md::log_poisson(i, 0.99);
+ cerr << "p(i=" << i << ") = " << exp(p) << endl;
+ EXPECT_LT(p, prev);
+ tot += exp(p);
+ prev = p;
+ }
+ cerr << " tot=" << tot << endl;
+ EXPECT_LE(tot, 1.0);
+}
+
+TEST_F(MTest, YuleSimon) {
+ double prev = 1.0;
+ double tot = 0;
+ for (int i = 0; i < 10; ++i) {
+ double p = Md::log_yule_simon(i, 1.0);
+ cerr << "p(i=" << i << ") = " << exp(p) << endl;
+ EXPECT_LT(p, prev);
+ tot += exp(p);
+ prev = p;
+ }
+ cerr << " tot=" << tot << endl;
+ EXPECT_LE(tot, 1.0);
+}
+
+TEST_F(MTest, LogGeometric) {
+ double prev = 1.0;
+ double tot = 0;
+ for (int i = 0; i < 10; ++i) {
+ double p = Md::log_geometric(i, 0.5);
+ cerr << "p(i=" << i << ") = " << exp(p) << endl;
+ EXPECT_LT(p, prev);
+ tot += exp(p);
+ prev = p;
+ }
+ cerr << " tot=" << tot << endl;
+ EXPECT_LE(tot, 1.0);
+}
+
+TEST_F(MTest, GeneralizedFactorial) {
+ for (double i = 0.3; i < 10000; i += 0.4) {
+ double a = Md::log_generalized_factorial(1.0, i);
+ double b = lgamma(1.0 + i);
+ EXPECT_FLOAT_EQ(a,b);
+ }
+ double gf_3_6 = 3.0 * 4.0 * 5.0 * 6.0 * 7.0 * 8.0;
+ EXPECT_FLOAT_EQ(Md::log_generalized_factorial(3.0, 6.0), std::log(gf_3_6));
+ double gf_314_6 = 3.14 * 4.14 * 5.14 * 6.14 * 7.14 * 8.14;
+ EXPECT_FLOAT_EQ(Md::log_generalized_factorial(3.14, 6.0), std::log(gf_314_6));
+}
+
+int main(int argc, char** argv) {
+ testing::InitGoogleTest(&argc, argv);
+ return RUN_ALL_TESTS();
+}
+