package won.matcher.utils.tensor;/*
* Copyright 2012 Research Studios Austria Forschungsges.m.b.H.
*
* 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.
*/
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
import java.io.IOException;
import java.util.LinkedList;
import java.util.List;
/**
* User: hfriedrich
* Date: 18.07.2014
*/
public class TensorMatchingDataTest {
private static final double DELTA = 0.001d;
private TensorMatchingData data;
@Before
public void initData() {
data = new TensorMatchingData();
}
@Test
public void dataInitialized() {
Assert.assertEquals(data.getAttributes().size(), 0);
Assert.assertEquals(data.getNeeds().size(), 0);
}
@Test
public void addNeedConnection() {
data.addNeedConnection("Need1", "Need2", false);
Assert.assertEquals(data.getNeeds().size(), 2);
Assert.assertEquals(data.getAttributes().size(), 0);
Assert.assertTrue(data.getNeeds().contains("Need1"));
Assert.assertTrue(data.getNeeds().contains("Need2"));
data.addNeedConnection("Need1", "Need3", false);
Assert.assertEquals(data.getNeeds().size(), 3);
Assert.assertEquals(data.getAttributes().size(), 0);
Assert.assertTrue(data.getNeeds().contains("Need1"));
Assert.assertTrue(data.getNeeds().contains("Need2"));
Assert.assertTrue(data.getNeeds().contains("Need3"));
}
@Test
public void addNeedAttribute() {
data.addNeedAttribute("title", "Need1", "Attr1");
Assert.assertEquals(data.getNeeds().size(), 1);
Assert.assertEquals(data.getAttributes().size(), 1);
Assert.assertTrue(data.getNeeds().contains("Need1"));
Assert.assertTrue(data.getAttributes().contains("Attr1"));
data.addNeedAttribute("description", "Need1", "Attr2");
Assert.assertEquals(data.getNeeds().size(), 1);
Assert.assertEquals(data.getAttributes().size(), 2);
Assert.assertTrue(data.getNeeds().contains("Need1"));
Assert.assertTrue(data.getAttributes().contains("Attr1"));
Assert.assertTrue(data.getAttributes().contains("Attr2"));
data.addNeedAttribute("title", "Need2", "Attr1");
Assert.assertEquals(data.getNeeds().size(), 2);
Assert.assertEquals(data.getAttributes().size(), 2);
Assert.assertTrue(data.getNeeds().contains("Need1"));
Assert.assertTrue(data.getNeeds().contains("Need2"));
Assert.assertTrue(data.getAttributes().contains("Attr1"));
Assert.assertTrue(data.getAttributes().contains("Attr2"));
}
@Test
public void checkTensor() throws IOException {
data.addNeedAttribute("needType", "Need1", "OFFER");
data.addNeedAttribute("title", "Need1", "Couch");
data.addNeedAttribute("title", "Need1", "IKEA");
data.addNeedAttribute("description", "Need1", "...");
data.addNeedAttribute("needType", "Need2", "WANT");
data.addNeedAttribute("title", "Need2", "Leather");
data.addNeedAttribute("title", "Need2", "Couch");
data.addNeedAttribute("description", "Need2", "IKEA");
data.addNeedConnection("Need1", "Need2", false);
data.addNeedAttribute("needType", "Need3", "WANT");
data.addNeedConnection("Need1", "NeedWithoutAttributes", false);
data.addNeedAttribute("tag", "Need2", "#couch");
data.addNeedAttribute("tag", "Need4", "#sofa");
data.addNeedConnection("Need2", "Need4", false);
data.addNeedConnection("Need1", "NeedWithoutAttributes2", false);
// number of original different name entries in the tensor header => 14
ThirdOrderSparseTensor tensor = data.createFinalTensor();
int[] dim = {14, 14, 5};
Assert.assertArrayEquals(dim, tensor.getDimensions());
Assert.assertEquals(1.0d, tensor.getEntry(0, 1, data.getSliceIndex("needType")), DELTA);
Assert.assertEquals(1.0d, tensor.getEntry(0, 2, data.getSliceIndex("title")), DELTA);
Assert.assertEquals(1.0d, tensor.getEntry(0, 3, data.getSliceIndex("title")), DELTA);
Assert.assertEquals(1.0d, tensor.getEntry(0, 4, data.getSliceIndex("description")),
DELTA);
Assert.assertEquals(1.0d, tensor.getEntry(5, 6, data.getSliceIndex("needType")), DELTA);
Assert.assertEquals(1.0d, tensor.getEntry(5, 7, data.getSliceIndex("title")), DELTA);
Assert.assertEquals(1.0d, tensor.getEntry(5, 2, data.getSliceIndex("title")), DELTA);
Assert.assertEquals(1.0d, tensor.getEntry(5, 3, data.getSliceIndex("description")),
DELTA);
Assert.assertEquals(1.0d, tensor.getEntry(0, 5, data.getSliceIndex(TensorMatchingData.CONNECTION_SLICE_NAME)), DELTA);
Assert.assertEquals(1.0d, tensor.getEntry(5, 0, data.getSliceIndex(TensorMatchingData.CONNECTION_SLICE_NAME)), DELTA);
Assert.assertEquals(1.0d, tensor.getEntry(8, 6, data.getSliceIndex("needType")), DELTA);
// 1 connection (symmentric entries) => 2 NZ entries
Assert.assertEquals(8, tensor.getNonZeroEntries(data.getSliceIndex(TensorMatchingData.CONNECTION_SLICE_NAME)));
// three needs with types
Assert.assertEquals(3, tensor.getNonZeroEntries(data.getSliceIndex("needType")));
// 4 title, 2 description, 2 tag attributes
Assert.assertEquals(4, tensor.getNonZeroEntries(data.getSliceIndex("title")));
Assert.assertEquals(2, tensor.getNonZeroEntries(data.getSliceIndex("description")));
Assert.assertEquals(2, tensor.getNonZeroEntries(data.getSliceIndex("tag")));
}
@Test
public void checkCleanedTensor() throws IOException {
data.addNeedAttribute("needType", "Need1", "OFFER");
data.addNeedAttribute("title", "Need1", "Couch");
data.addNeedAttribute("title", "Need1", "IKEA");
data.addNeedAttribute("description", "Need1", "...");
data.addNeedAttribute("needType", "Need2", "WANT");
data.addNeedAttribute("title", "Need2", "Leather");
data.addNeedAttribute("title", "Need2", "Couch");
data.addNeedAttribute("description", "Need2", "IKEA");
data.addNeedConnection("Need1", "Need2", false);
data.addNeedAttribute("needType", "Need3", "WANT");
data.addNeedConnection("Need1", "NeedWithoutAttributes", false);
data.addNeedAttribute("tag", "Need2", "#couch");
data.addNeedAttribute("tag", "Need4", "#sofa");
data.addNeedConnection("Need2", "Need4", false);
data.addNeedConnection("Need1", "NeedWithoutAttributes2", false);
// number of original different name entries in the tensor header => 14,
// by cleaning the tensor the two Needs "NeedWithoutAttributes" should be removed
// together with their connections
data = data.removeEmptyNeedsAndConnections();
ThirdOrderSparseTensor tensor = data.createFinalTensor();
int[] dim = {12, 12, 5};
Assert.assertArrayEquals(dim, tensor.getDimensions());
List<String> needs = new LinkedList<>();
needs.add("Need1");
needs.add("Need2");
needs.add("Need3");
needs.add("Need4");
Assert.assertEquals(needs, data.getNeeds());
}
}