org.terracotta.statistics.derived.histogram.BarSplittingBiasedHistogramFittingTest.java Source code

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Here is the source code for org.terracotta.statistics.derived.histogram.BarSplittingBiasedHistogramFittingTest.java

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/*
 * All content copyright Terracotta, Inc., unless otherwise indicated.
 *
 * 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.terracotta.statistics.derived.histogram;

import org.apache.commons.math3.fitting.AbstractCurveFitter;
import org.apache.commons.math3.fitting.GaussianCurveFitter;
import org.apache.commons.math3.fitting.PolynomialCurveFitter;
import org.apache.commons.math3.fitting.WeightedObservedPoint;
import org.apache.commons.math3.stat.descriptive.moment.StandardDeviation;
import org.junit.Ignore;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;

import java.util.Arrays;
import java.util.Random;
import java.util.stream.DoubleStream;

import static java.util.stream.Collectors.collectingAndThen;
import static java.util.stream.Collectors.toList;
import static org.hamcrest.number.IsCloseTo.closeTo;
import static org.junit.Assert.assertThat;

public class BarSplittingBiasedHistogramFittingTest extends HistogramFittingTest {

    public BarSplittingBiasedHistogramFittingTest(long seed, double biasRange, int bars, double slopeError,
            double centroidError, double widthError) {
        super(seed, biasRange, bars, slopeError, centroidError, widthError);
    }

    @Override
    protected Histogram histogram(double bias, int bars, DoubleStream data) {
        BarSplittingBiasedHistogram bsbh = new BarSplittingBiasedHistogram(bias, bars, Long.MAX_VALUE);
        data.forEach(d -> bsbh.event(d, 0));
        return bsbh;
    }
}