1 | /*
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2 | * Licensed to the Apache Software Foundation (ASF) under one or more
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3 | * contributor license agreements. See the NOTICE file distributed with
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4 | * this work for additional information regarding copyright ownership.
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5 | * The ASF licenses this file to You under the Apache License, Version 2.0
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6 | * (the "License"); you may not use this file except in compliance with
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7 | * the License. You may obtain a copy of the License at
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8 | *
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9 | * http://www.apache.org/licenses/LICENSE-2.0
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10 | *
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11 | * Unless required by applicable law or agreed to in writing, software
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12 | * distributed under the License is distributed on an "AS IS" BASIS,
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13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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14 | * See the License for the specific language governing permissions and
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15 | * limitations under the License.
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16 | */
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17 |
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18 | package agents.anac.y2019.harddealer.math3.distribution;
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19 |
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20 | import agents.anac.y2019.harddealer.math3.exception.OutOfRangeException;
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21 |
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22 | /**
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23 | * Implementation of the constant real distribution.
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24 | *
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25 | * @since 3.4
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26 | */
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27 | public class ConstantRealDistribution extends AbstractRealDistribution {
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28 |
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29 | /** Serialization ID */
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30 | private static final long serialVersionUID = -4157745166772046273L;
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31 |
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32 | /** Constant value of the distribution */
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33 | private final double value;
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34 |
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35 | /**
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36 | * Create a constant real distribution with the given value.
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37 | *
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38 | * @param value the constant value of this distribution
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39 | */
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40 | public ConstantRealDistribution(double value) {
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41 | super(null); // Avoid creating RandomGenerator
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42 | this.value = value;
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43 | }
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44 |
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45 | /** {@inheritDoc} */
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46 | public double density(double x) {
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47 | return x == value ? 1 : 0;
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48 | }
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49 |
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50 | /** {@inheritDoc} */
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51 | public double cumulativeProbability(double x) {
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52 | return x < value ? 0 : 1;
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53 | }
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54 |
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55 | /** {@inheritDoc} */
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56 | @Override
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57 | public double inverseCumulativeProbability(final double p)
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58 | throws OutOfRangeException {
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59 | if (p < 0.0 || p > 1.0) {
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60 | throw new OutOfRangeException(p, 0, 1);
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61 | }
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62 | return value;
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63 | }
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64 |
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65 | /**
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66 | * {@inheritDoc}
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67 | */
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68 | public double getNumericalMean() {
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69 | return value;
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70 | }
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71 |
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72 | /**
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73 | * {@inheritDoc}
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74 | */
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75 | public double getNumericalVariance() {
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76 | return 0;
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77 | }
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78 |
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79 | /**
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80 | * {@inheritDoc}
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81 | */
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82 | public double getSupportLowerBound() {
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83 | return value;
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84 | }
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85 |
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86 | /**
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87 | * {@inheritDoc}
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88 | */
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89 | public double getSupportUpperBound() {
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90 | return value;
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91 | }
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92 |
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93 | /** {@inheritDoc} */
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94 | public boolean isSupportLowerBoundInclusive() {
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95 | return true;
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96 | }
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97 |
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98 | /** {@inheritDoc} */
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99 | public boolean isSupportUpperBoundInclusive() {
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100 | return true;
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101 | }
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102 |
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103 | /**
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104 | * {@inheritDoc}
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105 | */
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106 | public boolean isSupportConnected() {
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107 | return true;
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108 | }
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109 |
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110 | /** {@inheritDoc} */
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111 | @Override
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112 | public double sample() {
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113 | return value;
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114 | }
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115 |
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116 | /**
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117 | * Override with no-op (there is no generator).
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118 | * @param seed (ignored)
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119 | */
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120 | @Override
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121 | public void reseedRandomGenerator(long seed) {}
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122 | }
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