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/*******************************************************************************
 * 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.nd4j.linalg.api.ops.impl.transforms.custom;

import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;

import java.util.Arrays;
import java.util.Collections;
import java.util.List;

public class ListDiff extends DynamicCustomOp {

    public ListDiff() {
        //
    }

    public ListDiff(SameDiff sd, SDVariable x, SDVariable y){
        super(sd, new SDVariable[]{x, y});
    }

    @Override
    public String tensorflowName() {
        return "ListDiff";  //Note: Seems to be renamed to tf.setdiff1d in public API?
    }

    @Override
    public String opName() {
        return "listdiff";
    }

    @Override
    public List doDiff(List f1) {
        throw new UnsupportedOperationException();
    }

    @Override
    public List calculateOutputDataTypes(List inputDataTypes){
        //TODO make this configurable
        return Arrays.asList(inputDataTypes.get(0), DataType.INT);
    }
}