/*
 * 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.numbers.gamma;

import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.Test;

/**
 * Tests for {@link LogGamma}.
 */
class LogGammaTest {
    /**
     * Reference data for the {@link Gamma#logGamma(double)} function. This data
     * was generated with the following <a
     * href="http://maxima.sourceforge.net/">Maxima</a> script.
     *
     * <pre>
     * kill(all);
     *
     * fpprec : 64;
     * gamln(x) := log(gamma(x));
     * x : append(makelist(bfloat(i / 8), i, 1, 80),
     *     [0.8b0, 1b2, 1b3, 1b4, 1b5, 1b6, 1b7, 1b8, 1b9, 1b10]);
     *
     * for i : 1 while i <= length(x) do
     *     print("{", float(x[i]), ",", float(gamln(x[i])), "},");
     * </pre>
     */
    private static final double[][] LOG_GAMMA_REF = {
        {0.125, 2.019418357553796},
        {0.25, 1.288022524698077},
        {0.375, .8630739822706475},
        {0.5, .5723649429247001},
        {0.625, .3608294954889402},
        {0.75, .2032809514312954},
        {0.875, .08585870722533433},
        {0.890625, .07353860936979656},
        {0.90625, .06169536624059108},
        {0.921875, .05031670080005688},
        {0.9375, 0.0393909017345823},
        {0.953125, .02890678734595923},
        {0.96875, .01885367233441289},
        {0.984375, .009221337197578781},
        {1.0, 0.0},
        {1.015625, -0.00881970970573307},
        {1.03125, -.01724677500176807},
        {1.046875, -.02528981394675729},
        {1.0625, -.03295710029357782},
        {1.078125, -.04025658272400143},
        {1.09375, -.04719590272716985},
        {1.109375, -.05378241123619192},
        {1.125, -.06002318412603958},
        {1.25, -.09827183642181316},
        {1.375, -.1177552707410788},
        {1.5, -.1207822376352452},
        {1.625, -.1091741337567954},
        {1.75, -.08440112102048555},
        {1.875, -0.0476726853991883},
        {1.890625, -.04229320615532515},
        {1.90625, -.03674470657266143},
        {1.921875, -.03102893865389552},
        {1.9375, -.02514761940298887},
        {1.953125, -.01910243184040138},
        {1.96875, -.01289502598016741},
        {1.984375, -.006527019770560387},
        {2.0, 0.0},
        {2.015625, .006684476830232185},
        {2.03125, .01352488366498562},
        {2.046875, .02051972208453692},
        {2.0625, .02766752152285702},
        {2.078125, 0.0349668385135861},
        {2.09375, .04241625596251728},
        {2.109375, .05001438244545164},
        {2.125, .05775985153034387},
        {2.25, .1248717148923966},
        {2.375, .2006984603774558},
        {2.5, .2846828704729192},
        {2.625, .3763336820249054},
        {2.75, .4752146669149371},
        {2.875, .5809359740231859},
        {2.890625, .5946142560817441},
        {2.90625, .6083932548009232},
        {2.921875, .6222723333588501},
        {2.9375, .6362508628423761},
        {2.953125, .6503282221022278},
        {2.96875, .6645037976116387},
        {2.984375, 0.678776983328359},
        {3.0, .6931471805599453},
        {3.015625, .7076137978322324},
        {3.03125, .7221762507608962},
        {3.046875, .7368339619260166},
        {3.0625, 0.751586360749556},
        {3.078125, .7664328833756681},
        {3.09375, .7813729725537568},
        {3.109375, .7964060775242092},
        {3.125, 0.811531653906724},
        {3.25, .9358019311087253},
        {3.375, 1.06569589786406},
        {3.5, 1.200973602347074},
        {3.625, 1.341414578068493},
        {3.75, 1.486815578593417},
        {3.875, 1.6369886482725},
        {4.0, 1.791759469228055},
        {4.125, 1.950965937095089},
        {4.25, 2.114456927450371},
        {4.375, 2.282091222188554},
        {4.5, 2.453736570842442},
        {4.625, 2.62926886637513},
        {4.75, 2.808571418575736},
        {4.875, 2.99153431107781},
        {5.0, 3.178053830347946},
        {5.125, 3.368031956881733},
        {5.25, 3.561375910386697},
        {5.375, 3.757997741998131},
        {5.5, 3.957813967618717},
        {5.625, 4.160745237339519},
        {5.75, 4.366716036622286},
        {5.875, 4.57565441552762},
        {6.0, 4.787491742782046},
        {6.125, 5.002162481906205},
        {6.25, 5.219603986990229},
        {6.375, 5.439756316011858},
        {6.5, 5.662562059857142},
        {6.625, 5.887966185430003},
        {6.75, 6.115915891431546},
        {6.875, 6.346360475557843},
        {7.0, 6.579251212010101},
        {7.125, 6.814541238336996},
        {7.25, 7.05218545073854},
        {7.375, 7.292140407056348},
        {7.5, 7.534364236758733},
        {7.625, 7.778816557302289},
        {7.75, 8.025458396315983},
        {7.875, 8.274252119110479},
        {8.0, 8.525161361065415},
        {8.125, 8.77815096449171},
        {8.25, 9.033186919605123},
        {8.375, 9.290236309282232},
        {8.5, 9.549267257300997},
        {8.625, 9.810248879795765},
        {8.75, 10.07315123968124},
        {8.875, 10.33794530382217},
        {9.0, 10.60460290274525},
        {9.125, 10.87309669270751},
        {9.25, 11.14340011995171},
        {9.375, 11.41548738699336},
        {9.5, 11.68933342079727},
        {9.625, 11.96491384271319},
        {9.75, 12.24220494005076},
        {9.875, 12.52118363918365},
        {10.0, 12.80182748008147},
        {0.8, .1520596783998376},
        {100.0, 359.1342053695754},
        {1000.0, 5905.220423209181},
        {10000.0, 82099.71749644238},
        {100000.0, 1051287.708973657},
        {1000000.0, 1.2815504569147612e+7},
        {10000000.0, 1.511809493694739e+8},
        {1.e+8, 1.7420680661038346e+9},
        {1.e+9, 1.972326582750371e+10},
        {1.e+10, 2.202585092888106e+11},
    };

    @Test
    void testLogGammaNan() {
        testLogGamma(Double.NaN, Double.NaN);
    }

    @Test
    void testLogGammaNegative() {
        testLogGamma(Double.NaN, -1.0);
    }

    @Test
    void testLogGammaZero() {
        testLogGamma(Double.NaN, 0.0);
    }

    @Test
    void testLogGammaPositive() {
        testLogGamma(0.6931471805599457, 3.0);
    }

    @Test
    void testLogGamma() {
        final int ulps = 3;
        for (int i = 0; i < LOG_GAMMA_REF.length; i++) {
            final double[] data = LOG_GAMMA_REF[i];
            final double x = data[0];
            final double expected = data[1];
            final double actual = LogGamma.value(x);
            final double tol;
            if (expected == 0.0) {
                tol = 1E-15;
            } else {
                tol = ulps * Math.ulp(expected);
            }
            Assertions.assertEquals(expected, actual, tol, Double.toString(x));
        }
    }

    @Test
    void testLogGammaPrecondition1() {
        Assertions.assertTrue(Double.isNaN(LogGamma.value(0.0)));
    }

    @Test
    void testLogGammaPrecondition2() {
        Assertions.assertTrue(Double.isNaN(LogGamma.value(-1.0)));
    }

    private void testLogGamma(double expected, double x) {
        double actual = LogGamma.value(x);
        Assertions.assertEquals(expected, actual, 1e-15);
    }
}