void simpleTest()
{
srand(0);
DelaunayInterpolator uut;
shared_ptr<DataFrame> dfPtr(new DataFrame());
DataFrame& df = *dfPtr;
vector<string> labels;
labels.push_back("x");
labels.push_back("y");
labels.push_back("h");
vector<int> types(3, DataFrame::Numerical);
df.setFactorLabels(labels);
df.setFactorTypes(types);
// is there a cleaner way?
vector<double> d(3);
for (size_t i = 0; i < 500; i++)
{
d[0] = Random::generateUniform() * 2 - 1;
d[1] = Random::generateUniform() * 2 - 1;
double e = sqrt(d[0] * d[0] + d[1] * d[1]);
d[2] = Normal::normal(e, .5);
df.addDataVector("", d);
}
uut.setData(dfPtr);
vector<string> ind;
ind.push_back("x");
ind.push_back("y");
uut.setIndependentColumns(ind);
vector<string> dep;
dep.push_back("h");
uut.setDependentColumns(dep);
CPPUNIT_ASSERT_DOUBLES_EQUAL(0.0028, uut.estimateError(), 0.0001);
}
void serializationTest()
{
srand(0);
shared_ptr<DelaunayInterpolator> di = buildRandom();
DelaunayInterpolator& uut = *di;
srand(0);
double error = uut.estimateError();
QBuffer buf;
buf.open(QBuffer::WriteOnly);
uut.writeInterpolator(buf);
buf.close();
buf.open(QBuffer::ReadOnly);
DelaunayInterpolator copy;
copy.readInterpolator(buf);
srand(0);
CPPUNIT_ASSERT_DOUBLES_EQUAL(error, copy.estimateError(), 0.0001);
}
