#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using HeuristicLab.Data;
using HeuristicLab.Tests;
using Microsoft.VisualStudio.TestTools.UnitTesting;
namespace HeuristicLab.Encodings.IntegerVectorEncoding.Tests {
///
///This is a test class for UniformOnePositionManipulator and is intended
///to contain all UniformOnePositionManipulator Unit Tests
///
[TestClass()]
public class UniformOnePositionManipulatorTest {
///
///A test for Apply
///
[TestMethod()]
[TestCategory("Encodings.IntegerVector")]
[TestProperty("Time", "short")]
public void UniformOnePositionManipulatorApplyTest() {
TestRandom random = new TestRandom();
IntegerVector parent, expected;
IntMatrix bounds = new IntMatrix(1, 2);
// The following test is not based on published examples
random.Reset();
random.IntNumbers = new int[] { 3, 3 };
parent = new IntegerVector(new int[] { 2, 2, 3, 5, 1 });
expected = new IntegerVector(new int[] { 2, 2, 3, 3, 1 });
bounds[0, 0] = 2;
bounds[0, 1] = 7;
UniformOnePositionManipulator.Apply(random, parent, bounds);
Assert.IsTrue(Auxiliary.IntegerVectorIsEqualByPosition(expected, parent));
}
}
}