/**
 * Copyright (C) 2017 Jan Schäfer (jansch@users.sourceforge.net)
 *
 * 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 org.jskat.ai.nn.util;

import static org.junit.Assert.assertEquals;

import org.junit.Test;

public class NetworkTopologyTest {
	@Test
	public void testGetMaxNodesForLayers() {
		NetworkTopology topology = createSimpleTopology();
		assertEquals(3, topology.getMaxNodesForLayers());
	}

	@Test
	public void testGetMaxNodesForLayers2() {
		NetworkTopology topology = createComplexTopology();
		assertEquals(5, topology.getMaxNodesForLayers());
	}

	@Test
	public void testGetMaxWeightsForLayers() {
		NetworkTopology topology = createSimpleTopology();
		assertEquals(6, topology.getMaxWeightsForLayers());
	}

	@Test
	public void testGetMaxWeightsForLayers2() {
		NetworkTopology topology = createComplexTopology();
		assertEquals(20, topology.getMaxWeightsForLayers());
	}

	private NetworkTopology createSimpleTopology() {
		int[] hiddenNeurons = { 3 };
		return new NetworkTopology(2, hiddenNeurons, 1);
	}

	private NetworkTopology createComplexTopology() {
		int[] hiddenNeurons = { 3, 4, 5, 2 };
		return new NetworkTopology(2, hiddenNeurons, 1);
	}
}