bool
CoarsenClasses::patchDataMatch(
int item_id1,
int item_id2,
const std::shared_ptr<hier::PatchDescriptor>& pd) const
{
bool items_match = ((item_id1 >= 0) && (item_id2 >= 0));
if (items_match) {
std::shared_ptr<hier::PatchDataFactory> pdf1(
pd->getPatchDataFactory(item_id1));
std::shared_ptr<hier::PatchDataFactory> pdf2(
pd->getPatchDataFactory(item_id2));
items_match = (typeid(*pdf1) == typeid(*pdf2));
if (items_match) {
items_match = (pdf1->getGhostCellWidth() ==
pdf2->getGhostCellWidth());
}
}
return items_match;
}
int main(int argc, char ** argv)
{
#ifdef QUESO_HAS_MPI
MPI_Init(&argc, &argv);
QUESO::FullEnvironment env(MPI_COMM_WORLD, "", "", NULL);
#else
QUESO::FullEnvironment env("", "", NULL);
#endif
unsigned int dim = 3;
QUESO::VectorSpace<> paramSpace(env, "param_", dim, NULL);
QUESO::GslVector paramMins(paramSpace.zeroVector());
paramMins.cwSet(-INFINITY);
QUESO::GslVector paramMaxs(paramSpace.zeroVector());
paramMaxs.cwSet(INFINITY);
QUESO::BoxSubset<> paramDomain("param_", paramSpace, paramMins, paramMaxs);
QUESO::GslVector mean(paramSpace.zeroVector());
QUESO::GslMatrix var(paramSpace.zeroVector());
mean[0] = 2.0;
mean[1] = 3.0;
mean[2] = 4.0;
var(0,0) = 5.0;
var(1,1) = 6.0;
var(2,2) = 7.0;
// Construct a Gaussian PDF
QUESO::GaussianJointPdf<> pdf("", paramDomain, mean, var);
// Vectors to store gradient calculations
QUESO::GslVector lnGradVector(paramSpace.zeroVector());
QUESO::GslVector gradVector(paramSpace.zeroVector());
// Where to evaluate the gradient. Evaluating at the mean (the mode for a
// Gaussian) should give a gradient consisting of a vector of zeros.
QUESO::GslVector point(mean);
// We are testing that the gradient of log of the pdf is all zeros
pdf.lnValue(point, NULL, &lnGradVector, NULL, NULL);
queso_require_less_equal_msg(std::abs(lnGradVector[0]), TOL, "grad log gaussian pdf values are incorrect");
queso_require_less_equal_msg(std::abs(lnGradVector[1]), TOL, "grad log gaussian pdf values are incorrect");
queso_require_less_equal_msg(std::abs(lnGradVector[2]), TOL, "grad log gaussian pdf values are incorrect");
// We are testing that the of the pdf is all zeros
pdf.actualValue(point, NULL, &gradVector, NULL, NULL);
queso_require_less_equal_msg(std::abs(gradVector[0]), TOL, "grad guassian pdf values are incorrect");
queso_require_less_equal_msg(std::abs(gradVector[1]), TOL, "grad guassian pdf values are incorrect");
queso_require_less_equal_msg(std::abs(gradVector[2]), TOL, "grad guassian pdf values are incorrect");
// Now construct another Gaussian. This time we're constructing a Gaussian
// that we know will have a gradient consisting entirely of ones (in log
// space).
mean[0] = 0.0;
mean[1] = 0.0;
mean[2] = 0.0;
var(0,0) = 1.0;
var(0,1) = 0.8;
var(0,2) = 0.7;
var(1,0) = 0.8;
var(1,1) = 2.0;
var(1,2) = 0.6;
var(2,0) = 0.7;
var(2,1) = 0.6;
var(2,2) = 3.0;
point[0] = -2.5;
point[1] = -3.4;
point[2] = -4.3;
QUESO::GaussianJointPdf<> pdf2("", paramDomain, mean, var);
pdf2.lnValue(point, NULL, &lnGradVector, NULL, NULL);
queso_require_less_equal_msg(std::abs(lnGradVector[0] - 1.0), TOL, "grad log gaussian pdf2 values are incorrect");
queso_require_less_equal_msg(std::abs(lnGradVector[1] - 1.0), TOL, "grad log gaussian pdf2 values are incorrect");
queso_require_less_equal_msg(std::abs(lnGradVector[2] - 1.0), TOL, "grad log gaussian pdf2 values are incorrect");
#ifdef QUESO_HAS_MPI
MPI_Finalize();
#endif
return 0;
}
