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/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    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.
 *
 *
 */

package org.nd4j.linalg.benchmark;

import org.apache.commons.lang3.time.StopWatch;
import org.apache.commons.math3.stat.descriptive.SummaryStatistics;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * Times matrix ops
 *
 * @author Adam Gibson
 */
public class TimeOperations implements Runnable {

    private static Logger log = LoggerFactory.getLogger(TimeOperations.class);
    private INDArray testing;
    private int numTimesRun = 1;
    private StopWatch watch = new StopWatch();
    private INDArray other;

    public TimeOperations(INDArray n) {
        this(n, 1);
    }

    public TimeOperations(INDArray n, int numTimesRun) {
        this.testing = n;
        this.other = Nd4j.ones(n.shape());
        this.numTimesRun = numTimesRun;
    }


    public void benchMarkScalarMuli() {
        System.out.println("Scalar multiplication took " + runNTimes(new Runnable() {
            @Override
            public void run() {
                testing.mul(1);
            }
        }).getMean() + " milliseconds");
    }


    public void benchMarkElementWiseMul() {
        System.out.println("Element wise  multiplication took " + runNTimes(new Runnable() {
            @Override
            public void run() {
                testing.mul(other);
            }
        }).getMean() + " milliseconds");
    }


    public void benchMarkScalarAdd() {
        System.out.println("Scalar addition took " + runNTimes(new Runnable() {
            @Override
            public void run() {
                testing.add(1);
            }
        }).getMean() + " milliseconds");
    }


    public void benchMarkElementWiseAdd() {
        System.out.println("Element wise  addition took " + runNTimes(new Runnable() {
            @Override
            public void run() {
                testing.add(other);
            }
        }).getMean() + " milliseconds");
    }


    public void benchmarkCreation() {
        System.out.println("Benchmarking creation...");
        System.out.println(runNTimes(new Runnable() {
            @Override
            public void run() {
                Nd4j.create(new double[]{10000}, new int[]{2, 5000});
            }
        }).getMean() + " milliseconds");
    }

    public void benchmarkRavel() {
        System.out.println("Benchmarking ravel...");
        System.out.println(runNTimes(new Runnable() {
            @Override
            public void run() {
                testing.ravel();
            }
        }).getMean() + " milliseconds");

    }

    public SummaryStatistics runNTimes(Runnable run) {
        SummaryStatistics sum = new SummaryStatistics();
        for (int i = 0; i < numTimesRun; i++) {
            sum.addValue(timeOp(run));
        }

        return sum;

    }


    public long timeOp(Runnable run) {
        watch.start();
        run.run();
        watch.stop();
        long time = watch.getTime();
        watch.reset();
        return time;
    }


    @Override
    public void run() {
        benchmarkRavel();
        benchmarkCreation();
        benchMarkScalarAdd();
        benchMarkElementWiseAdd();
        benchMarkElementWiseMul();
        benchMarkScalarMuli();
    }


}




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