/******************************************************************************* * ============LICENSE_START======================================================= * slice-analysis-ms * ================================================================================ * Copyright (C) 2020 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 java.util.List; /** * Model class for ML output object */ public class MLOutputModel { private String snssai; private List data; public String getSnssai() { return snssai; } public void setSnssai(String snssai) { this.snssai = snssai; } public List getData() { return data; } public void setData(List data) { this.data = data; } @Override public String toString() { return "MLOutputModel [snssai=" + snssai + ", data=" + data + "]"; } /** * Returns a hashcode value for the object */ @Override public int hashCode() { final int prime = 31; int result = 1; result = prime * result + ((data == null) ? 0 : data.hashCode()); result = prime * result + ((snssai == null) ? 0 : snssai.hashCode()); return result; } /** * Checks whether the object matches with the MLOutputModel */ @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (getClass() != obj.getClass()) return false; MLOutputModel other = (MLOutputModel) obj; if (data == null) { if (other.data != null) return false; } else if (!data.equals(other.data)) return false; if (snssai == null) { if (other.snssai != null) return false; } else if (!snssai.equals(other.snssai)) return false; return true; } }