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| 1 | +#include <gtest/gtest.h> |
| 2 | + |
| 3 | +#include "highmap.hpp" |
| 4 | + |
| 5 | +using namespace hmap; |
| 6 | + |
| 7 | +TEST(PdfSampler, SampleReturnsValueInUnitInterval) |
| 8 | +{ |
| 9 | + std::vector<float> pdf = {1.f, 1.f, 1.f, 1.f}; |
| 10 | + |
| 11 | + PdfSampler sampler(pdf, 42); |
| 12 | + |
| 13 | + for (int i = 0; i < 1000; ++i) |
| 14 | + { |
| 15 | + float s = sampler.sample(); |
| 16 | + |
| 17 | + EXPECT_GE(s, 0.f); |
| 18 | + EXPECT_LT(s, 1.f); |
| 19 | + } |
| 20 | +} |
| 21 | + |
| 22 | +TEST(PdfSampler, SampleVectorSize) |
| 23 | +{ |
| 24 | + std::vector<float> pdf = {1.f, 2.f, 3.f}; |
| 25 | + |
| 26 | + PdfSampler sampler(pdf, 42); |
| 27 | + |
| 28 | + std::vector<float> samples = sampler.sample(128); |
| 29 | + |
| 30 | + EXPECT_EQ(samples.size(), 128); |
| 31 | +} |
| 32 | + |
| 33 | +TEST(PdfSampler, DeterministicWithSameSeed) |
| 34 | +{ |
| 35 | + std::vector<float> pdf = {1.f, 2.f, 3.f, 4.f}; |
| 36 | + |
| 37 | + PdfSampler s0(pdf, 1234); |
| 38 | + PdfSampler s1(pdf, 1234); |
| 39 | + |
| 40 | + for (int i = 0; i < 100; ++i) |
| 41 | + { |
| 42 | + float a = s0.sample(); |
| 43 | + float b = s1.sample(); |
| 44 | + |
| 45 | + EXPECT_FLOAT_EQ(a, b); |
| 46 | + } |
| 47 | +} |
| 48 | + |
| 49 | +TEST(PdfSampler, DifferentSeedsProduceDifferentSequences) |
| 50 | +{ |
| 51 | + std::vector<float> pdf = {1.f, 2.f, 3.f, 4.f}; |
| 52 | + |
| 53 | + PdfSampler s0(pdf, 1); |
| 54 | + PdfSampler s1(pdf, 2); |
| 55 | + |
| 56 | + bool different = false; |
| 57 | + |
| 58 | + for (int i = 0; i < 50; ++i) |
| 59 | + { |
| 60 | + if (s0.sample() != s1.sample()) |
| 61 | + { |
| 62 | + different = true; |
| 63 | + break; |
| 64 | + } |
| 65 | + } |
| 66 | + |
| 67 | + EXPECT_TRUE(different); |
| 68 | +} |
| 69 | + |
| 70 | +TEST(PdfSampler, UniformPdfProducesUniformBins) |
| 71 | +{ |
| 72 | + std::vector<float> pdf = {1.f, 1.f, 1.f, 1.f}; |
| 73 | + |
| 74 | + PdfSampler sampler(pdf, 42); |
| 75 | + |
| 76 | + const int nsamples = 20000; |
| 77 | + |
| 78 | + std::vector<int> bins(4, 0); |
| 79 | + |
| 80 | + for (int i = 0; i < nsamples; ++i) |
| 81 | + { |
| 82 | + float s = sampler.sample(); |
| 83 | + |
| 84 | + int k = std::min(3, static_cast<int>(s * 4.f)); |
| 85 | + |
| 86 | + bins[k]++; |
| 87 | + } |
| 88 | + |
| 89 | + float expected = static_cast<float>(nsamples) / 4.f; |
| 90 | + |
| 91 | + for (int c : bins) |
| 92 | + EXPECT_NEAR(static_cast<float>(c), expected, 0.1f * expected); |
| 93 | +} |
| 94 | + |
| 95 | +TEST(PdfSampler, WeightedPdfFavorsLargerBins) |
| 96 | +{ |
| 97 | + std::vector<float> pdf = {1.f, 1.f, 10.f, 1.f}; |
| 98 | + |
| 99 | + PdfSampler sampler(pdf, 42); |
| 100 | + |
| 101 | + const int nsamples = 20000; |
| 102 | + |
| 103 | + std::vector<int> bins(4, 0); |
| 104 | + |
| 105 | + for (int i = 0; i < nsamples; ++i) |
| 106 | + { |
| 107 | + float s = sampler.sample(); |
| 108 | + |
| 109 | + int k = std::min(3, static_cast<int>(s * 4.f)); |
| 110 | + |
| 111 | + bins[k]++; |
| 112 | + } |
| 113 | + |
| 114 | + EXPECT_GT(bins[2], bins[0]); |
| 115 | + EXPECT_GT(bins[2], bins[1]); |
| 116 | + EXPECT_GT(bins[2], bins[3]); |
| 117 | +} |
| 118 | + |
| 119 | +TEST(PdfSampler, SingleBinAlwaysSamplesInsideBin) |
| 120 | +{ |
| 121 | + std::vector<float> pdf = {1.f}; |
| 122 | + |
| 123 | + PdfSampler sampler(pdf, 42); |
| 124 | + |
| 125 | + for (int i = 0; i < 100; ++i) |
| 126 | + { |
| 127 | + float s = sampler.sample(); |
| 128 | + |
| 129 | + EXPECT_GE(s, 0.f); |
| 130 | + EXPECT_LT(s, 1.f); |
| 131 | + } |
| 132 | +} |
| 133 | + |
| 134 | +TEST(PdfSampler, SampleVectorDeterministic) |
| 135 | +{ |
| 136 | + std::vector<float> pdf = {1.f, 2.f, 3.f}; |
| 137 | + |
| 138 | + PdfSampler s0(pdf, 99); |
| 139 | + PdfSampler s1(pdf, 99); |
| 140 | + |
| 141 | + std::vector<float> v0 = s0.sample(256); |
| 142 | + std::vector<float> v1 = s1.sample(256); |
| 143 | + |
| 144 | + ASSERT_EQ(v0.size(), v1.size()); |
| 145 | + |
| 146 | + for (size_t i = 0; i < v0.size(); ++i) |
| 147 | + EXPECT_FLOAT_EQ(v0[i], v1[i]); |
| 148 | +} |
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