/* * 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)); } }