static void run() {
testSum();
testSubtraction();
testMulitplication();
testDivision();
testSign();
}
int main()
{
printf("test start\n");
testSum();
/* int instance_size = 16;
//int numeric_size = 10;
int window_size = 1;
double test_vector[16];
double test_sample[16 * 256];
//double distances[256];
//double ranges[32];
for (int i = 0 ; i < 16 ; ++i)
test_vector[i] = 1;
for (int i = 0 ;i < window_size ; ++i )
init_sample(test_sample, test_vector, instance_size, window_size, i);
std::vector<double> reduce_result = test.m_reduce.reduce(test_sample, 16, 256);
if (reduce_result.size() != 256)
printf("wtf!!!");
*/
}
static void testSum() {
testSum(1, 2, "3.000000");
testSum(100, -100, "0.000000");
testSum(100, -10, "90.000000");
testSum(0, 0, "0.000000");
testSum(1, 123456789, "123456790.000000");
testSum(0.5, 1.5, "2.000000");
testSum(0.5, 1.2, "1.700000");
const RealNumber lv(1.5);
const RealNumber rv(5);
const RealNumber& result = lv + rv;
Assertions::equals("6.500000", result.toString(), "RealNumberTest::testSum test failed!");
}
int main() {
int testCount = 1;
int p = 1;
int low = -10;
int high = 10;
int fails = 0;
double eps = 1e-8;
for (int n = 2; n <= pow(2, p); n *= 2) {
for (int i = 0; i < testCount; i++) {
Mat_DP A(n, n);
Vec_CPLX_DP eigens(n);
ranmat2(A, low, high);
eigen(A, eigens);
if(testSum(&A, &eigens, eps)){
fails++;
cout << "FAIL! n = " << n << endl;
}
}
}
}
