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/*
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 *  * 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.
 *  *
 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * 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.
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package org.nd4j.linalg.api.ops.impl.shape;

import lombok.extern.slf4j.Slf4j;
import onnx.Onnx;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;

import java.util.*;

@Slf4j
public class Rank extends DynamicCustomOp {


    public Rank() {
    }

    public Rank(SameDiff sameDiff, SDVariable input) {
        this(sameDiff, input, false);
    }

    public Rank(SameDiff sameDiff, SDVariable input, boolean inPlace) {
        super(null, sameDiff, new SDVariable[] {input}, inPlace);
    }

    public Rank(INDArray indArray) {
        addInputArgument(indArray);
    }

    @Override
    public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {

    }

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

    @Override
    public String onnxName() {
        throw new NoOpNameFoundException("No onnx found for op " + opName());
    }

    @Override
    public String tensorflowName() {
        return "Rank";
    }

    @Override
    public List doDiff(List i_v) {
        return Collections.singletonList(sameDiff.zerosLike(arg()));
    }

    @Override
    public List calculateOutputDataTypes(List dataTypes){
        Preconditions.checkState(dataTypes.size() == 1, "Expected list with exactly 1 datatype for %s, got %s", getClass(), dataTypes);
        //Output type is always int
        return Collections.singletonList(DataType.INT);
    }
}