/*******************************************************************************
 * Copyright (c) 2015-2018 Skymind, Inc.
 *
 * This program and the accompanying materials are made available under the
 * terms of the Apache License, Version 2.0 which is available at
 * https://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.
 *
 * SPDX-License-Identifier: Apache-2.0
 ******************************************************************************/

package org.deeplearning4j.spark.impl.graph.scoring;

import org.apache.spark.api.java.function.PairFunction;
import org.nd4j.linalg.api.ndarray.INDArray;
import scala.Tuple2;

/**
 * Simple conversion function for SparkComputationGraph
 *
 * @author Alex Black
 */
public class ArrayPairToPair<K> implements PairFunction<Tuple2<K, INDArray[]>, K, INDArray> {
    @Override
    public Tuple2<K, INDArray> call(Tuple2<K, INDArray[]> v1) throws Exception {
        INDArray arr = (v1._2() == null ? null : v1._2()[0]);
        return new Tuple2<>(v1._1(), arr);
    }
}
