/*******************************************************************************
* Copyright 2014 Analog Devices, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
********************************************************************************/
package com.analog.lyric.dimple.test.FactorFunctions;
import java.util.Arrays;
import java.util.Random;
import org.junit.Test;
import com.analog.lyric.dimple.factorfunctions.VectorInnerProduct;
import com.analog.lyric.dimple.model.domains.Domain;
import com.analog.lyric.dimple.model.domains.RealDomain;
import com.analog.lyric.dimple.model.domains.RealJointDomain;
import com.analog.lyric.dimple.model.values.Value;
public class TestVectorInnerProduct extends FactorFunctionTester
{
@Test
public void test()
{
VectorInnerProduct function = new VectorInnerProduct();
// Some simple hand-coded cases
testEvalDeterministic(function, RealDomain.unbounded(),
new Value[] { Value.create(23.0), Value.create(2.0), Value.create(3.0), Value.create(4.0), Value.create(5.0) },
new Value[] { Value.create(1.0), Value.create(7.0), Value.create(3.0), Value.create(-2.0), Value.create(5.0) },
new Value[] { Value.create(23.5), Value.create(2.5), Value.create(3.5), Value.create(1.0), Value.create(6.0) }
);
Random rand = new Random(123456);
int nCases = 5;
RealDomain rd = RealDomain.unbounded();
RealJointDomain rd2 = RealJointDomain.create(2);
for (int size = 2; size < 5; ++size)
{
double[] v1 = new double[size];
double[] v2 = new double[size];
double output = 0.0;
for (int i = 0; i < size; ++i)
{
v1[i] = rand.nextDouble() * 10;
v2[i] = rand.nextDouble() * 10;
output += v1[i] * v2[i];
}
Value[][] testCases = new Value[nCases][];
for (int i = 0; i < nCases; ++i)
{
Value[] testCase = testCases[i] = new Value[3];
testCase[0] = Value.create(output);
testCase[1] = Value.create(v1.clone());
testCase[2] = Value.create(v2.clone());
}
testEvalDeterministic(function, new Domain[] { rd, rd2, rd2 } , testCases);
for (int i = 0; i < nCases; ++i)
{
Value[] testCase = testCases[i] = new Value[2 + size];
testCase[0] = Value.create(output);
testCase[1] = Value.create(v1.clone());
for (int j = 0; j < size; ++j)
{
testCase[2 + j] = Value.create(v2[j]);
}
}
testEvalDeterministic(function, new Domain[] { rd, rd2, rd }, testCases);
for (int i = 0; i < nCases; ++i)
{
Value[] testCase = testCases[i] = new Value[2 + size];
testCase[0] = Value.create(output);
for (int j = 0; j < size; ++j)
{
testCase[1 + j] = Value.create(v1[j]);
}
testCase[1 + size] = Value.create(v2.clone());
}
Domain[] domains = new Domain[2 + size];
Arrays.fill(domains, rd);
domains[1 + size] = rd2;
testEvalDeterministic(function, domains, testCases);
for (int i = 0; i < nCases; ++i)
{
Value[] testCase = testCases[i] = new Value[1 + 2 * size];
testCase[0] = Value.create(output);
for (int j = 0; j < size; ++j)
{
testCase[1 + j] = Value.create(v1[j]);
testCase[1 + size + j] = Value.create(v2[j]);
}
}
testEvalDeterministic(function, rd, testCases);
}
// TODO: test evalEnergy for non-deterministic cases
}
}