/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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.apache.commons.math3.stat.inference;

import org.apache.commons.math3.exception.MathIllegalArgumentException;
import org.junit.Assert;
import org.junit.Test;

/**
 * Test cases for the BinomialConfidenceInterval class.
 */

public class BinomialConfidenceIntervalTest {

    protected BinomialConfidenceInterval testStatistic = new BinomialConfidenceInterval();

    private final int successes = 50;

    private final int trials = 500;

    private final double confidenceLevel = 0.9;

    @Test
    public void testClopperPearsonInterval() {
        ConfidenceInterval confidenceInterval = testStatistic.getClopperPearsonInterval(trials, successes,
                                                                                        confidenceLevel);
        Assert.assertEquals(0.07873857, confidenceInterval.getLowerBound(), 1E-5);
        Assert.assertEquals(0.1248658, confidenceInterval.getUpperBound(), 1E-5);

    }

    @Test
    public void testNormalApproximationInterval() {
        ConfidenceInterval confidenceInterval = testStatistic.getNormalApproximationInterval(trials, successes,
                                                                                             confidenceLevel);
        Assert.assertEquals(0.07793197, confidenceInterval.getLowerBound(), 1E-5);
        Assert.assertEquals(0.1220680, confidenceInterval.getUpperBound(), 1E-5);
    }

    @Test
    public void testAgrestiCoullInterval() {
        ConfidenceInterval confidenceInterval = testStatistic.getAgrestiCoullInterval(trials, successes,
                                                                                      confidenceLevel);
        Assert.assertEquals(0.07993521, confidenceInterval.getLowerBound(), 1E-5);
        Assert.assertEquals(0.1243704, confidenceInterval.getUpperBound(), 1E-5);
    }

    @Test
    public void testWilsonScoreInterval() {
        ConfidenceInterval confidenceInterval = testStatistic
            .getWilsonScoreInterval(trials, successes, confidenceLevel);
        Assert.assertEquals(0.08003919, confidenceInterval.getLowerBound(), 1E-5);
        Assert.assertEquals(0.1242664, confidenceInterval.getUpperBound(), 1E-5);
    }

    @Test(expected = MathIllegalArgumentException.class)
    public void testZeroConfidencelevel() {
        testStatistic.getWilsonScoreInterval(trials, successes, 0d);
    }

    @Test(expected = MathIllegalArgumentException.class)
    public void testOneConfidencelevel() {
        testStatistic.getWilsonScoreInterval(trials, successes, 1d);
    }

    @Test(expected = MathIllegalArgumentException.class)
    public void testZeroTrials() {
        testStatistic.getWilsonScoreInterval(0, 0, confidenceLevel);
    }

    @Test(expected = MathIllegalArgumentException.class)
    public void testNegativeSuccesses() {
        testStatistic.getWilsonScoreInterval(trials, -1, confidenceLevel);
    }

    @Test(expected = MathIllegalArgumentException.class)
    public void testSuccessesExceedingTrials() {
        testStatistic.getWilsonScoreInterval(trials, trials + 1, confidenceLevel);
    }
}

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