/******************************************************************************* * ============LICENSE_START======================================================= * slice-analysis-ms * ================================================================================ * Copyright (C) 2021 Wipro Limited. * ============================================================================== * 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. * ============LICENSE_END========================================================= * *******************************************************************************/ package org.onap.slice.analysis.ms.models; import static org.junit.Assert.assertEquals; import java.util.Collections; import java.util.List; import org.junit.Test; import org.junit.runner.RunWith; import org.mockito.InjectMocks; import org.springframework.boot.test.context.SpringBootTest; import org.springframework.test.context.junit4.SpringRunner; import nl.jqno.equalsverifier.EqualsVerifier; @RunWith(SpringRunner.class) @SpringBootTest(classes=MLOutputModelTest.class) public class MLOutputModelTest { @InjectMocks private final MLOutputModel mlOutputModel =new MLOutputModel(); @Test public void mlOutputModelEqualHashcodeTest() { EqualsVerifier.simple().forClass(MLOutputModel.class).verify(); } @Test public void mlOutputModelMethodTest() { List data = Collections.emptyList(); mlOutputModel.setSnssai("message"); mlOutputModel.setData(data); assertEquals("message",mlOutputModel.getSnssai()); assertEquals(data,mlOutputModel.getData()); assertEquals("MLOutputModel [snssai=message, data=[]]",mlOutputModel.toString()); } }