| 1 | import { computeMeanDistributions, computeMeanValues } from '../src/interpreter_v2';
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| 2 |
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| 3 | describe('Interpreter.computeMean', function() {
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| 4 | it('Probability distribution', function() {
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| 5 | let distributions = [
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| 6 | [0.1, 0.5, 0.4],
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| 7 | [0.1, 0.5, 0.4]
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| 8 | ];
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| 9 |
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| 10 | let sizes = [1, 1];
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| 11 |
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| 12 | let expectedSize = 2;
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| 13 | let expectedDistribution = [0.1, 0.5, 0.4];
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| 14 | let expectedResult = {
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| 15 | value: expectedDistribution,
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| 16 | size: expectedSize
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| 17 | };
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| 18 | expect(computeMeanDistributions(distributions, sizes)).to.be.deep.equal(expectedResult);
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| 19 |
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| 20 | distributions = [
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| 21 | [0.1, 0.5, 0.4],
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| 22 | [0.1, 0.1, 0.8]
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| 23 | ];
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| 24 | sizes = [0, 1000];
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| 25 |
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| 26 | expectedSize = 1000;
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| 27 | expectedDistribution = [0.1, 0.1, 0.8];
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| 28 | expectedResult = {
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| 29 | value: expectedDistribution,
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| 30 | size: expectedSize
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| 31 | };
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| 32 | expect(computeMeanDistributions(distributions, sizes)).to.be.deep.equal(expectedResult);
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| 33 |
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| 34 | distributions = [
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| 35 | [1.0, 0.0, 0.0, 0.0],
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| 36 | [0.0, 1.0, 0.0, 0.0],
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| 37 | [0.0, 0.0, 1.0, 0.0],
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| 38 | [0.0, 0.0, 0.0, 1.0]
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| 39 | ];
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| 40 |
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| 41 | sizes = [20, 40, 30, 10];
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| 42 |
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| 43 | expectedSize = 100;
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| 44 | expectedDistribution = [0.2, 0.4, 0.3, 0.1];
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| 45 | expectedResult = {
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| 46 | value: expectedDistribution,
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| 47 | size: expectedSize
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| 48 | };
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| 49 | expect(computeMeanDistributions(distributions, sizes)).to.be.deep.equal(expectedResult);
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| 50 | });
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| 51 |
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| 52 | it('Mean distribution', function() {
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| 53 | let values = [10., 10.];
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| 54 | let sizes = [1, 1];
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| 55 |
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| 56 | let expectedSize = 2;
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| 57 | let expectedValue = 10;
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| 58 | let expectedResult = {
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| 59 | value: expectedValue,
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| 60 | size: expectedSize
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| 61 | };
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| 62 | expect(computeMeanValues(values, sizes)).to.be.deep.equal(expectedResult);
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| 63 |
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| 64 | values = [80., 70.];
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| 65 | sizes = [0, 1000];
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| 66 |
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| 67 | expectedSize = 1000;
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| 68 | expectedValue = 70;
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| 69 | expectedResult = {
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| 70 | value: expectedValue,
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| 71 | size: expectedSize
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| 72 | };
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| 73 | expect(computeMeanValues(values, sizes)).to.be.deep.equal(expectedResult);
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| 74 |
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| 75 | values = [1., 2., 3., 4.];
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| 76 | sizes = [1, 1, 1, 1];
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| 77 |
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| 78 | expectedSize = 4;
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| 79 | expectedValue = 2.5;
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| 80 | expectedResult = {
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| 81 | value: expectedValue,
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| 82 | size: expectedSize
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| 83 | };
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| 84 | expect(computeMeanValues(values, sizes)).to.be.deep.equal(expectedResult);
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| 85 |
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| 86 | values = [4., 5.];
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| 87 | let stds = [1.0, 2.0];
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| 88 | sizes = [3, 5];
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| 89 |
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| 90 | expectedSize = 8;
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| 91 | expectedValue = 37.0 / 8.0;
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| 92 | let expectedStd = Math.sqrt((18.0 + 15.0 / 8.0) / 7.0);
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| 93 | expectedResult = {
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| 94 | value: expectedValue,
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| 95 | standard_deviation: expectedStd,
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| 96 | size: expectedSize
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| 97 | };
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| 98 | let result = computeMeanValues(values, sizes, stds);
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| 99 | expect(result.value).to.be.equal(expectedValue);
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| 100 | expect(result.size).to.be.equal(expectedSize);
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| 101 | expect(result.standard_deviation).to.be.closeTo(expectedStd, 0.00001);
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| 102 |
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| 103 | values = [0.0, 5.];
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| 104 | stds = [0.0, 2.0];
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| 105 | sizes = [0, 5];
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| 106 |
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| 107 | expectedSize = 5.0;
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| 108 | expectedValue = 5.0;
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| 109 | expectedStd = 2.0;
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| 110 | expectedResult = {
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| 111 | value: expectedValue,
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| 112 | standard_deviation: expectedStd,
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| 113 | size: expectedSize
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| 114 | };
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| 115 | result = computeMeanValues(values, sizes, stds);
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| 116 | expect(result.value).to.be.equal(expectedValue);
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| 117 | expect(result.size).to.be.equal(expectedSize);
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| 118 | expect(result.standard_deviation).to.be.closeTo(expectedStd, 0.00001);
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| 119 |
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| 120 | values = [5.0, 0.0];
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| 121 | stds = [2.0, 0.0];
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| 122 | sizes = [5, 0];
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| 123 | result = computeMeanValues(values, sizes, stds);
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| 124 | expect(result.value).to.be.equal(expectedValue);
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| 125 | expect(result.size).to.be.equal(expectedSize);
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| 126 | expect(result.standard_deviation).to.be.closeTo(expectedStd, 0.00001);
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| 127 |
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| 128 | values = [1.0, 5.];
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| 129 | stds = [15.0, 2.0];
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| 130 | sizes = [1, 5];
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| 131 |
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| 132 | expectedSize = 6.0;
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| 133 | expectedValue = 26.0 / 6.0;
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| 134 | expectedStd = Math.sqrt((16.0 + 80.0 / 6.0) / 5.0);
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| 135 | expectedResult = {
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| 136 | value: expectedValue,
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| 137 | standard_deviation: expectedStd,
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| 138 | size: expectedSize
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| 139 | };
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| 140 | result = computeMeanValues(values, sizes, stds);
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| 141 | expect(result.value).to.be.equal(expectedValue);
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| 142 | expect(result.size).to.be.equal(expectedSize);
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| 143 | expect(result.standard_deviation).to.be.closeTo(expectedStd, 0.00001);
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| 144 |
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| 145 | values = [0.0, 0.0, 0.0, 0.0, 1.0];
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| 146 | stds = [0.0, 0.0, 0.0, 0.0, 2.0];
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| 147 | sizes = [0, 0, 0, 0, 20];
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| 148 |
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| 149 | expectedSize = 20.0;
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| 150 | expectedValue = 1.0;
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| 151 | expectedStd = 2.0;
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| 152 | expectedResult = {
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| 153 | value: expectedValue,
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| 154 | standard_deviation: expectedStd,
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| 155 | size: expectedSize
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| 156 | };
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| 157 | result = computeMeanValues(values, sizes, stds);
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| 158 | expect(result.value).to.be.equal(expectedValue);
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| 159 | expect(result.size).to.be.equal(expectedSize);
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| 160 | expect(result.standard_deviation).to.be.closeTo(expectedStd, 0.00001);
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| 161 | });
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| 162 | });
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