/*
* Apache License
* Version 2.0, January 2004
* http://www.apache.org/licenses/
*
* Copyright 2013 Aurelian Tutuianu
* Copyright 2014 Aurelian Tutuianu
* Copyright 2015 Aurelian Tutuianu
* Copyright 2016 Aurelian Tutuianu
*
* 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 rapaio.data.filter.frame;
import org.junit.Test;
import rapaio.data.Nominal;
import rapaio.data.Var;
import rapaio.data.filter.var.VFToNumeric;
import java.util.ArrayList;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
/**
* @author <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a>
*/
@Deprecated
public class FFilterNominalToDoubleTest {
@Test
public void testNormalCase() {
int n = 10;
ArrayList<String> dict = new ArrayList<>();
for (int i = 0; i < n; i++) {
dict.add(String.valueOf(Math.pow(i, 1.5)));
}
Var v = Nominal.empty(10, dict);
for (int i = 0; i < v.rowCount(); i++) {
String value = String.valueOf(Math.pow(i, 1.5));
v.setLabel(i, value);
}
Var filtered = VFToNumeric.byDefault().fitApply(v);
for (int i = 0; i < v.rowCount(); i++) {
double value = Math.pow(i, 1.5);
assertEquals(value, filtered.value(i), 1e-10);
}
}
@Test
public void testNullVector() {
try {
new FFRefSort(null).fitApply(null);
} catch (Exception ex) {
assertTrue(true);
}
}
@Test
public void testNFE() {
Var filtered = Nominal.empty(1, "abc");
filtered.setLabel(0, "abc");
Var numeric = VFToNumeric.byDefault().fitApply(filtered);
assertEquals(numeric.value(0), numeric.value(0), 1e-10);
assertTrue(numeric.missing(0));
}
}