gtsam/cpp/testNonlinearEquality.cpp

110 lines
3.6 KiB
C++

/*
* @file testNonlinearEquality.cpp
* @author Alex Cunningham
*/
#include <CppUnitLite/TestHarness.h>
#include "VectorConfig.h"
#include "NonlinearEquality.h"
using namespace std;
using namespace gtsam;
typedef boost::shared_ptr<NonlinearEquality<VectorConfig> > shared_nle;
bool vector_compare(const std::string& key,
const VectorConfig& feasible,
const VectorConfig& input) {
Vector feas, lin;
feas = feasible[key];
lin = input[key];
return equal_with_abs_tol(lin, feas, 1e-5);
}
/* ************************************************************************* */
TEST ( NonlinearEquality, linearization ) {
string key = "x";
Vector value = Vector_(2, 1.0, 2.0);
VectorConfig feasible, linearize;
feasible.insert(key, value);
linearize.insert(key, value);
// create a nonlinear equality constraint
shared_nle nle(new NonlinearEquality<VectorConfig>(key, feasible, 2, *vector_compare));
// check linearize
GaussianFactor expLF(key, eye(2), zero(2), 0.0);
GaussianFactor::shared_ptr actualLF = nle->linearize(linearize);
CHECK(assert_equal(*actualLF, expLF));
}
/* ************************************************************************* */
TEST ( NonlinearEquality, linearization_fail ) {
string key = "x";
Vector value = Vector_(2, 1.0, 2.0);
Vector wrong = Vector_(2, 3.0, 4.0);
VectorConfig feasible, bad_linearize;
feasible.insert(key, value);
bad_linearize.insert(key, wrong);
// create a nonlinear equality constraint
shared_nle nle(new NonlinearEquality<VectorConfig>(key, feasible, 2, *vector_compare));
// check linearize to ensure that it fails for bad linearization points
try {
GaussianFactor::shared_ptr actualLF = nle->linearize(bad_linearize);
CHECK(false);
} catch (std::invalid_argument) {
CHECK(true);
}
}
/* ************************************************************************* */
TEST ( NonlinearEquality, error ) {
string key = "x";
Vector value = Vector_(2, 1.0, 2.0);
Vector wrong = Vector_(2, 3.0, 4.0);
VectorConfig feasible, bad_linearize;
feasible.insert(key, value);
bad_linearize.insert(key, wrong);
// create a nonlinear equality constraint
shared_nle nle(new NonlinearEquality<VectorConfig>(key, feasible, 2, *vector_compare));
// check error function outputs
Vector actual = nle->error_vector(feasible);
CHECK(assert_equal(actual, zero(2)));
actual = nle->error_vector(bad_linearize);
CHECK(assert_equal(actual, repeat(2, 1.0/0.0)));
}
/* ************************************************************************* */
TEST ( NonlinearEquality, equals ) {
string key1 = "x";
Vector value1 = Vector_(2, 1.0, 2.0);
Vector value2 = Vector_(2, 3.0, 4.0);
VectorConfig feasible1, feasible2, feasible3;
feasible1.insert(key1, value1);
feasible2.insert(key1, value2);
feasible3.insert(key1, value1);
feasible3.insert("y", value2);
// create some constraints to compare
shared_nle nle1(new NonlinearEquality<VectorConfig>(key1, feasible1, 2, *vector_compare));
shared_nle nle2(new NonlinearEquality<VectorConfig>(key1, feasible1, 2, *vector_compare));
shared_nle nle3(new NonlinearEquality<VectorConfig>(key1, feasible2, 2, *vector_compare));
shared_nle nle4(new NonlinearEquality<VectorConfig>(key1, feasible3, 2, *vector_compare));
// verify
CHECK(nle1->equals(*nle2)); // basic equality = true
CHECK(nle2->equals(*nle1)); // test symmetry of equals()
CHECK(!nle1->equals(*nle3)); // test config
CHECK(nle4->equals(*nle1)); // test the full feasible set isn't getting compared
}
/* ************************************************************************* */
int main() { TestResult tr; return TestRegistry::runAllTests(tr); }
/* ************************************************************************* */