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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;

import lombok.val;
import onnx.OnnxProto3;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.imports.descriptors.properties.PropertyMapping;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import org.nd4j.linalg.factory.Nd4j;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;

import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;

/**
 * @author [email protected]
 */
public class Histogram extends BaseTransformOp {
    public Histogram(SameDiff sameDiff, SDVariable i_v, boolean inPlace, int numBins) {
        super(sameDiff, i_v, inPlace);
        this.numBins = numBins;
    }

    public Histogram(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs, int numBins) {
        super(sameDiff, i_v, shape, inPlace, extraArgs);
        this.numBins = numBins;
    }

    public Histogram(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs, int numBins) {
        super(sameDiff, i_v, extraArgs);
        this.numBins = numBins;
    }

    private int numBins = 0;

    public Histogram() {
        //no-op
    }

    public Histogram(INDArray x, INDArray z) {
        setX(x);
        setZ(z);

        //FIXME: int cast
        numBins = (int) z.length();

        double max = x.maxNumber().doubleValue();
        double min = x.minNumber().doubleValue();

        this.extraArgs = new Object[] {(double) numBins, min, max};
    }

    public Histogram(INDArray x, int numberOfBins) {
        this(x, Nd4j.create(numberOfBins));
    }

    @Override
    public Map propertiesForFunction() {
        Map ret = new LinkedHashMap<>();
        ret.put("numBins",numBins);
        return ret;
    }

    public Histogram(SameDiff sameDiff) {
        super(sameDiff);
    }

    @Override
    public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
        super.initFromTensorFlow(nodeDef, initWith, attributesForNode, graph);
    }

    @Override
    public void initFromOnnx(OnnxProto3.NodeProto node, SameDiff initWith, Map attributesForNode, OnnxProto3.GraphProto graph) {
        super.initFromOnnx(node, initWith, attributesForNode, graph);
    }

    @Override
    public Map> mappingsForFunction() {
        Map> ret = new HashMap<>();
        val binMapping = PropertyMapping.builder()
                .tfInputPosition(-1)
                .propertyNames(new String[]{"numBins"})
                .build();

        Map map = new HashMap<>();
        map.put("numBins",binMapping);

        ret.put(tensorflowName(),map);
        return ret;
    }

    @Override
    public int opNum() {
        return 48;
    }

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


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

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

    @Override
    public boolean isExecSpecial() {
        return true;
    }


    @Override
    public List doDiff(List f1) {
        return null;
    }
}