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178 | /*
* File: TestSeparableSum.cpp
* Author: Pantelis Sopasakis
*
* Created on Nov 4, 2015, 12:10:44 AM
*
* ForBES is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* ForBES is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with ForBES. If not, see <http://www.gnu.org/licenses/>.
*/
#include "TestSeparableSum.h"
#include "ElasticNet.h"
#include "HingeLoss.h"
#include "MatrixFactory.h"
#include "SeparableSum.h"
#include "ForBES.h"
CPPUNIT_TEST_SUITE_REGISTRATION(TestSeparableSum);
TestSeparableSum::TestSeparableSum() {
}
TestSeparableSum::~TestSeparableSum() {
}
void TestSeparableSum::setUp() {
}
void TestSeparableSum::tearDown() {
}
void TestSeparableSum::testCall() {
size_t num_functs = 2; /* 2 functions */<--- Variable 'num_functs' is assigned a value that is never used.
size_t num_idx_1 = 3; /* Function #1 points to 3 indices */
size_t num_idx_2 = 2; /* Function #2 points to 2 indices */
std::vector<size_t> idx1(num_idx_1);
std::vector<size_t> idx2(num_idx_2);
idx1[0] = 0;
idx1[1] = 3;
idx1[2] = 4; /* f1(x_0, x_3, x_4) */
idx2[0] = 1;
idx2[1] = 2; /* f2(x_1, x_2) */
Function * f1 = new ElasticNet(2.5, 1.3);
Matrix b(2, 1);
b[0] = 0.8;
b[1] = 1.5;
Function * f2 = new HingeLoss(b, 1.4);
std::map<Function*, std::vector<size_t>* > fun_idx_map;
fun_idx_map[f1] = &idx1;
fun_idx_map[f2] = &idx2;
Function * sep_sum = new SeparableSum(fun_idx_map);
Matrix x(5, 1);
for (size_t i = 0; i < 5; i++) {
x[i] = 0.1 * (i + 1);
}
double f_val;
_ASSERT(sep_sum->category().defines_f());
int status = sep_sum->call(x, f_val);
_ASSERT_EQ(ForBESUtils::STATUS_OK, status);
Matrix x1(num_idx_1, 1);
x1[0] = x[0];
x1[1] = x[3];
x1[2] = x[4];
Matrix x2(num_idx_2, 1);
x2[0] = x[1];
x2[1] = x[2];
double f1_val;
status = f1->call(x1, f1_val);
_ASSERT_EQ(ForBESUtils::STATUS_OK, status);
double f2_val;
status = f2->call(x2, f2_val);
_ASSERT_EQ(ForBESUtils::STATUS_OK, status);
_ASSERT_NUM_EQ(f1_val + f2_val, f_val, 1e-8);
delete f1;
delete f2;
delete sep_sum;
}
void TestSeparableSum::testCallProx() {
size_t num_functs = 2; /* 2 functions */<--- Variable 'num_functs' is assigned a value that is never used.
size_t num_idx_1 = 3; /* Function #1 points to 3 indices */
size_t num_idx_2 = 2; /* Function #2 points to 2 indices */
std::vector<size_t> idx1(num_idx_1);
std::vector<size_t> idx2(num_idx_2);
idx1[0] = 0;
idx1[1] = 3;
idx1[2] = 4; /* f1(x_0, x_3, x_4) */
idx2[0] = 1;
idx2[1] = 2; /* f2(x_1, x_2) */
Function * f1 = new ElasticNet(2.5, 1.3);
Matrix b(2, 1);
b[0] = 0.8;
b[1] = 1.5;
Function * f2 = new HingeLoss(b, 1.4);
std::map<Function*, std::vector<size_t>* > fun_idx_map;
fun_idx_map[f1] = &idx1;
fun_idx_map[f2] = &idx2;
Function * sep_sum = new SeparableSum(fun_idx_map);
Matrix x(5, 1);
for (size_t i = 0; i < 5; i++) {
x[i] = 10.9 * (i + 1);
}
double gamma = 0.87;
Matrix prox(num_idx_1 + num_idx_2, 1);
_ASSERT(sep_sum->category().defines_prox());
int status = sep_sum->callProx(x, gamma, prox);
_ASSERT_EQ(ForBESUtils::STATUS_OK, status);
Matrix x1(num_idx_1, 1);
x1[0] = x[0];
x1[1] = x[3];
x1[2] = x[4];
Matrix x2(num_idx_2, 1);
x2[0] = x[1];
x2[1] = x[2];
Matrix prox1(num_idx_1, 1);
Matrix prox2(num_idx_2, 1);
status = f1->callProx(x1, gamma, prox1);
_ASSERT_EQ(ForBESUtils::STATUS_OK, status);
status = f2->callProx(x2, gamma, prox2);
_ASSERT_EQ(ForBESUtils::STATUS_OK, status);
double tol = 1e-8;
_ASSERT_NUM_EQ(prox1[0], prox[0], tol);
_ASSERT_NUM_EQ(prox2[0], prox[1], tol);
_ASSERT_NUM_EQ(prox2[1], prox[2], tol);
_ASSERT_NUM_EQ(prox1[1], prox[3], tol);
_ASSERT_NUM_EQ(prox1[2], prox[4], tol);
delete f1;
delete f2;
delete sep_sum;
}
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