87 lines
		
	
	
		
			2.3 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			87 lines
		
	
	
		
			2.3 KiB
		
	
	
	
		
			C++
		
	
	
/** 
 | 
						|
 * @file    testNonlinearFactorGraph.cpp
 | 
						|
 * @brief   Unit tests for Non-Linear Factor Graph
 | 
						|
 * @brief   testNonlinearFactorGraph
 | 
						|
 * @author  Carlos Nieto
 | 
						|
 * @author  Christian Potthast
 | 
						|
 */
 | 
						|
 | 
						|
/*STL/C++*/
 | 
						|
#include <iostream>
 | 
						|
using namespace std;
 | 
						|
 | 
						|
#include <boost/assign/std/list.hpp>
 | 
						|
using namespace boost::assign;
 | 
						|
 | 
						|
#include <CppUnitLite/TestHarness.h>
 | 
						|
 | 
						|
#define GTSAM_MAGIC_KEY
 | 
						|
 | 
						|
#include "Matrix.h"
 | 
						|
#include "smallExample.h"
 | 
						|
#include "FactorGraph-inl.h"
 | 
						|
#include "NonlinearFactorGraph-inl.h"
 | 
						|
 | 
						|
using namespace gtsam;
 | 
						|
using namespace example;
 | 
						|
 | 
						|
/* ************************************************************************* */
 | 
						|
TEST( Graph, equals )
 | 
						|
{
 | 
						|
	Graph fg = createNonlinearFactorGraph();
 | 
						|
	Graph fg2 = createNonlinearFactorGraph();
 | 
						|
	CHECK( fg.equals(fg2) );
 | 
						|
}
 | 
						|
 | 
						|
/* ************************************************************************* */
 | 
						|
TEST( Graph, error )
 | 
						|
{
 | 
						|
	Graph fg = createNonlinearFactorGraph();
 | 
						|
	Config c1 = createConfig();
 | 
						|
	double actual1 = fg.error(c1);
 | 
						|
	DOUBLES_EQUAL( 0.0, actual1, 1e-9 );
 | 
						|
 | 
						|
	Config c2 = createNoisyConfig();
 | 
						|
	double actual2 = fg.error(c2);
 | 
						|
	DOUBLES_EQUAL( 5.625, actual2, 1e-9 );
 | 
						|
}
 | 
						|
 | 
						|
/* ************************************************************************* */
 | 
						|
TEST( Graph, GET_ORDERING)
 | 
						|
{
 | 
						|
  Ordering expected;
 | 
						|
  expected += "l1","x1","x2";
 | 
						|
  Graph nlfg = createNonlinearFactorGraph();
 | 
						|
  Ordering actual = nlfg.getOrdering();
 | 
						|
  CHECK(assert_equal(expected,actual));
 | 
						|
}
 | 
						|
 | 
						|
/* ************************************************************************* */
 | 
						|
TEST( Graph, probPrime )
 | 
						|
{
 | 
						|
	Graph fg = createNonlinearFactorGraph();
 | 
						|
	Config cfg = createConfig();
 | 
						|
 | 
						|
	// evaluate the probability of the factor graph
 | 
						|
	double actual = fg.probPrime(cfg);
 | 
						|
	double expected = 1.0;
 | 
						|
	DOUBLES_EQUAL(expected,actual,0);
 | 
						|
}
 | 
						|
 | 
						|
/* ************************************************************************* */
 | 
						|
TEST( Graph, linearize )
 | 
						|
{
 | 
						|
	Graph fg = createNonlinearFactorGraph();
 | 
						|
	Config initial = createNoisyConfig();
 | 
						|
	GaussianFactorGraph linearized = fg.linearize(initial);
 | 
						|
	GaussianFactorGraph expected = createGaussianFactorGraph();
 | 
						|
	CHECK(assert_equal(expected,linearized)); // Needs correct linearizations
 | 
						|
}
 | 
						|
 | 
						|
/* ************************************************************************* */
 | 
						|
int main() {
 | 
						|
	TestResult tr;
 | 
						|
	return TestRegistry::runAllTests(tr);
 | 
						|
}
 | 
						|
/* ************************************************************************* */
 |