| Line | Branch | Exec | Source |
|---|---|---|---|
| 1 | // Copyright Contributors to the OpenVDB Project | ||
| 2 | // SPDX-License-Identifier: MPL-2.0 | ||
| 3 | |||
| 4 | #include <gtest/gtest.h> | ||
| 5 | |||
| 6 | #include <openvdb/openvdb.h> | ||
| 7 | #include <openvdb/points/PointStatistics.h> | ||
| 8 | #include "PointBuilder.h" | ||
| 9 | |||
| 10 | using namespace openvdb; | ||
| 11 | |||
| 12 | 4 | class TestPointStatistics: public ::testing::Test | |
| 13 | { | ||
| 14 | public: | ||
| 15 | 4 | void SetUp() override { openvdb::initialize(); } | |
| 16 | 4 | void TearDown() override { openvdb::uninitialize(); } | |
| 17 | }; // class TestPointStatistics | ||
| 18 | |||
| 19 | |||
| 20 |
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2 | TEST_F(TestPointStatistics, testEvalMinMax) |
| 21 | { | ||
| 22 | // Test no points | ||
| 23 | { | ||
| 24 |
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2 | const auto points = PointBuilder({}).get(); |
| 25 | 1 | float min=-1.0f, max=-2.0f; | |
| 26 |
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1 | const bool success = points::evalMinMax<float>(points->tree(), "noop", min, max); |
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1 | EXPECT_TRUE(!success); |
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1 | EXPECT_EQ(-1.0f, min); |
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1 | EXPECT_EQ(-2.0f, max); |
| 30 | |||
| 31 | // basic signature returns zeroVal | ||
| 32 |
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1 | auto int_result = points::evalMinMax<int32_t>(points->tree(), "noop"); |
| 33 |
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1 | EXPECT_EQ(int32_t(0), int_result.first); |
| 34 |
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1 | EXPECT_EQ(int32_t(0), int_result.second); |
| 35 | } | ||
| 36 | |||
| 37 | // Test no attribute | ||
| 38 | { | ||
| 39 |
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2 | auto points = PointBuilder({Vec3f(0)}) |
| 40 |
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2 | .attribute<float>(zeroVal<float>(), "test") |
| 41 |
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1 | .get(); |
| 42 | 1 | float min=-1.0f, max=-2.0f; | |
| 43 |
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1 | const bool success = points::evalMinMax<float>(points->tree(), "noop", min, max); |
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1 | EXPECT_TRUE(!success); |
| 45 |
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1 | EXPECT_EQ(-1.0f, min); |
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1 | EXPECT_EQ(-2.0f, max); |
| 47 | } | ||
| 48 | |||
| 49 | // Test invalid attribute Type | ||
| 50 | { | ||
| 51 |
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2 | auto points = PointBuilder({Vec3f(0)}) |
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2 | .attribute<float>(zeroVal<float>(), "test") |
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1 | .get(); |
| 54 | 1 | int32_t min=-1, max=-2; | |
| 55 |
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2 | EXPECT_ANY_THROW(points::evalMinMax<int32_t>(points->tree(), "test", min, max)); |
| 56 |
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1 | EXPECT_EQ(int32_t(-1), min); |
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1 | EXPECT_EQ(int32_t(-2), max); |
| 58 | } | ||
| 59 | |||
| 60 | // Test min max | ||
| 61 | { | ||
| 62 |
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2 | auto points = PointBuilder(getBoxPoints()) // 8 points |
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2 | .attribute<int32_t>({-3,2,1,0,3,-2,-1,0}, "inttest1") // zero crossing |
| 64 |
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2 | .attribute<int32_t>({-10,-5,-9,-1,-2,-2,-1,-2}, "inttest2") // all under 0 |
| 65 |
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2 | .attribute<float>({-4.3f,5.1f,-1.1f,0.0f,9.5f,-10.2f,3.4f,6.2f}, "floattest") |
| 66 | .attribute<Vec3f>({ Vec3f(0.0f), Vec3f(-0.0f), | ||
| 67 | Vec3f(0.3f), Vec3f(1.0f,-0.5f,-0.2f), | ||
| 68 | Vec3f(0.2f), Vec3f(0.2f, 0.5f, 0.1f), | ||
| 69 |
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2 | Vec3f(-0.1f), Vec3f(0.1f) }, "vectest") |
| 70 |
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2 | .group({0,1,0,1,0,0,1,1}, "group1") |
| 71 |
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2 | .group({0,0,0,0,0,0,0,0}, "empty") |
| 72 | .voxelsize(1.0) | ||
| 73 |
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1 | .get(); |
| 74 | |||
| 75 | // test basic signature (int32_t, float, Ve3f) | ||
| 76 | { | ||
| 77 |
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1 | auto int_result = points::evalMinMax<int32_t>(points->tree(), "inttest1"); |
| 78 |
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1 | EXPECT_EQ(int32_t(-3), int_result.first); |
| 79 |
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1 | EXPECT_EQ(int32_t(3), int_result.second); |
| 80 | |||
| 81 |
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1 | auto flt_result = points::evalMinMax<float>(points->tree(), "floattest"); |
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1 | EXPECT_EQ(float(-10.2f), flt_result.first); |
| 83 |
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1 | EXPECT_EQ(float(9.5f), flt_result.second); |
| 84 | |||
| 85 |
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1 | auto vec_result = points::evalMinMax<Vec3f>(points->tree(), "vectest"); |
| 86 |
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1 | EXPECT_EQ(-0.1f, vec_result.first.x()); |
| 87 |
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1 | EXPECT_EQ(-0.5f, vec_result.first.y()); |
| 88 |
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1 | EXPECT_EQ(-0.2f, vec_result.first.z()); |
| 89 |
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1 | EXPECT_EQ(1.0f, vec_result.second.x()); |
| 90 |
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1 | EXPECT_EQ(0.5f, vec_result.second.y()); |
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1 | EXPECT_EQ(0.3f, vec_result.second.z()); |
| 92 | } | ||
| 93 | |||
| 94 | // int32_t | ||
| 95 | { | ||
| 96 | 1 | int32_t min=0, max=0; | |
| 97 |
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2 | bool success = points::evalMinMax<int32_t>(points->tree(), "inttest1", min, max); |
| 98 |
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1 | EXPECT_TRUE(success); |
| 99 |
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1 | EXPECT_EQ(int32_t(-3), min); |
| 100 |
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1 | EXPECT_EQ(int32_t(3), max); |
| 101 | |||
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2 | success = points::evalMinMax<int32_t>(points->tree(), "inttest2", min, max); |
| 103 |
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1 | EXPECT_TRUE(success); |
| 104 |
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1 | EXPECT_EQ(int32_t(-10), min); |
| 105 |
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1 | EXPECT_EQ(int32_t(-1), max); |
| 106 | } | ||
| 107 | |||
| 108 | // float | ||
| 109 | { | ||
| 110 | 1 | float min=0, max=0; | |
| 111 |
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2 | bool success = points::evalMinMax<float>(points->tree(), "floattest", min, max); |
| 112 |
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1 | EXPECT_TRUE(success); |
| 113 |
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1 | EXPECT_EQ(float(-10.2f), min); |
| 114 |
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1 | EXPECT_EQ(float(9.5f), max); |
| 115 | } | ||
| 116 | |||
| 117 | // Vec3f | ||
| 118 | { | ||
| 119 | Vec3f min(0), max(0); | ||
| 120 |
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2 | bool success = points::evalMinMax<Vec3f>(points->tree(), "vectest", min, max); |
| 121 |
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1 | EXPECT_TRUE(success); |
| 122 |
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1 | EXPECT_EQ(-0.1f, min.x()); |
| 123 |
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1 | EXPECT_EQ(-0.5f, min.y()); |
| 124 |
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1 | EXPECT_EQ(-0.2f, min.z()); |
| 125 |
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1 | EXPECT_EQ(1.0f, max.x()); |
| 126 |
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1 | EXPECT_EQ(0.5f, max.y()); |
| 127 |
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1 | EXPECT_EQ(0.3f, max.z()); |
| 128 | } | ||
| 129 | |||
| 130 | // Test min max filter | ||
| 131 | |||
| 132 |
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1 | points::GroupFilter filter("group1", points->tree().cbeginLeaf()->attributeSet()); |
| 133 | |||
| 134 | // int32_t | ||
| 135 | { | ||
| 136 | 1 | int32_t min=0, max=0; | |
| 137 |
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2 | bool success = points::evalMinMax<int32_t>(points->tree(), "inttest1", min, max, filter); |
| 138 |
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1 | EXPECT_TRUE(success); |
| 139 |
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1 | EXPECT_EQ(int32_t(-1), min); |
| 140 |
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1 | EXPECT_EQ(int32_t(2), max); |
| 141 | |||
| 142 |
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2 | success = points::evalMinMax<int32_t>(points->tree(), "inttest2", min, max, filter); |
| 143 |
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1 | EXPECT_TRUE(success); |
| 144 |
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1 | EXPECT_EQ(int32_t(-5), min); |
| 145 |
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1 | EXPECT_EQ(int32_t(-1), max); |
| 146 | } | ||
| 147 | |||
| 148 | // float | ||
| 149 | { | ||
| 150 | 1 | float min=0, max=0; | |
| 151 |
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2 | bool success = points::evalMinMax<float>(points->tree(), "floattest", min, max, filter); |
| 152 |
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1 | EXPECT_TRUE(success); |
| 153 |
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1 | EXPECT_EQ(float(0.0f), min); |
| 154 |
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1 | EXPECT_EQ(float(6.2f), max); |
| 155 | } | ||
| 156 | |||
| 157 | // Vec3f | ||
| 158 | { | ||
| 159 | Vec3f min(0), max(0); | ||
| 160 |
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2 | bool success = points::evalMinMax<Vec3f>(points->tree(), "vectest", min, max, filter); |
| 161 |
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1 | EXPECT_TRUE(success); |
| 162 |
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1 | EXPECT_EQ(-0.1f, min.x()); |
| 163 |
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1 | EXPECT_EQ(-0.5f, min.y()); |
| 164 |
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1 | EXPECT_EQ(-0.2f, min.z()); |
| 165 |
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1 | EXPECT_EQ(1.0f, max.x()); |
| 166 |
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1 | EXPECT_EQ(0.1f, max.y()); |
| 167 |
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1 | EXPECT_EQ(0.1f, max.z()); |
| 168 | } | ||
| 169 | |||
| 170 | // test no valid points in filter | ||
| 171 | { | ||
| 172 |
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1 | points::GroupFilter empty("empty", points->tree().cbeginLeaf()->attributeSet()); |
| 173 | 1 | int32_t min=100, max=100; | |
| 174 |
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1 | bool success = points::evalMinMax<int32_t>(points->tree(), "inttest1", min, max, empty); |
| 175 |
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1 | EXPECT_TRUE(!success); |
| 176 |
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1 | EXPECT_EQ(min, 100); |
| 177 |
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1 | EXPECT_EQ(max, 100); |
| 178 | } | ||
| 179 | |||
| 180 | // Test min max trees | ||
| 181 | |||
| 182 | // int32_t | ||
| 183 | { | ||
| 184 | 1 | int32_t min=0, max=0; | |
| 185 | 2 | Int32Tree mint, maxt; | |
| 186 |
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2 | bool success = points::evalMinMax<int32_t>(points->tree(), "inttest1", min, max, points::NullFilter(), &mint, &maxt); |
| 187 |
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1 | EXPECT_TRUE(success); |
| 188 |
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1 | EXPECT_EQ(int32_t(-3), min); |
| 189 |
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1 | EXPECT_EQ(int32_t(3), max); |
| 190 | |||
| 191 |
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1 | EXPECT_EQ(mint.leafCount(), 0); |
| 192 |
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1 | EXPECT_EQ(mint.activeTileCount(), 8); |
| 193 |
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1 | EXPECT_EQ(maxt.leafCount(), 0); |
| 194 |
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1 | EXPECT_EQ(maxt.activeTileCount(), 8); |
| 195 |
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1 | EXPECT_TRUE(mint.hasSameTopology(maxt)); |
| 196 | |||
| 197 |
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1 | EXPECT_TRUE(mint.isValueOn({-1, -1, -1})); |
| 198 |
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1 | EXPECT_TRUE(mint.isValueOn({-1, -1, 0})); |
| 199 |
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1 | EXPECT_TRUE(mint.isValueOn({-1, 0, -1})); |
| 200 |
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1 | EXPECT_TRUE(mint.isValueOn({-1, 0, 0})); |
| 201 |
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1 | EXPECT_TRUE(mint.isValueOn({0, -1, -1})); |
| 202 |
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1 | EXPECT_TRUE(mint.isValueOn({0, -1, 1})); |
| 203 |
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1 | EXPECT_TRUE(mint.isValueOn({0, 0, -1})); |
| 204 |
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1 | EXPECT_TRUE(mint.isValueOn({0, 0, 0})); |
| 205 | |||
| 206 |
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1 | EXPECT_TRUE(maxt.isValueOn({-1, -1, -1})); |
| 207 |
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1 | EXPECT_TRUE(maxt.isValueOn({-1, -1, 0})); |
| 208 |
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1 | EXPECT_TRUE(maxt.isValueOn({-1, 0, -1})); |
| 209 |
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1 | EXPECT_TRUE(maxt.isValueOn({-1, 0, 0})); |
| 210 |
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1 | EXPECT_TRUE(maxt.isValueOn({0, -1, -1})); |
| 211 |
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1 | EXPECT_TRUE(maxt.isValueOn({0, -1, 1})); |
| 212 |
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1 | EXPECT_TRUE(maxt.isValueOn({0, 0, -1})); |
| 213 |
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1 | EXPECT_TRUE(maxt.isValueOn({0, 0, 0})); |
| 214 | |||
| 215 | // only 1 point per leaf so values in both trees should match | ||
| 216 | |||
| 217 |
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2 | EXPECT_EQ(mint.getValue({-1, -1, -1}), -3); |
| 218 |
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2 | EXPECT_EQ(mint.getValue({-1, -1, 0}), 2); |
| 219 |
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2 | EXPECT_EQ(mint.getValue({-1, 0, -1}), 1); |
| 220 |
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2 | EXPECT_EQ(mint.getValue({-1, 0, 0}), 0); |
| 221 |
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2 | EXPECT_EQ(mint.getValue({0, -1, -1}), 3); |
| 222 |
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2 | EXPECT_EQ(mint.getValue({0, -1, 1}),-2); |
| 223 |
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2 | EXPECT_EQ(mint.getValue({0, 0, -1}), -1); |
| 224 |
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2 | EXPECT_EQ(mint.getValue({0, 0, 0}), 0); |
| 225 | |||
| 226 |
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2 | EXPECT_EQ(maxt.getValue({-1, -1, -1}), -3); |
| 227 |
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2 | EXPECT_EQ(maxt.getValue({-1, -1, 0}), 2); |
| 228 |
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2 | EXPECT_EQ(maxt.getValue({-1, 0, -1}), 1); |
| 229 |
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2 | EXPECT_EQ(maxt.getValue({-1, 0, 0}), 0); |
| 230 |
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2 | EXPECT_EQ(maxt.getValue({0, -1, -1}), 3); |
| 231 |
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2 | EXPECT_EQ(maxt.getValue({0, -1, 1}),-2); |
| 232 |
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2 | EXPECT_EQ(maxt.getValue({0, 0, -1}), -1); |
| 233 |
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2 | EXPECT_EQ(maxt.getValue({0, 0, 0}), 0); |
| 234 | } | ||
| 235 | } | ||
| 236 | |||
| 237 | // Test min max trees (multiple points in leaf) | ||
| 238 | { | ||
| 239 |
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2 | auto points = PointBuilder(getBoxPoints(/*scale*/0.0f)) // 8 points at origin |
| 240 |
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2 | .attribute<int32_t>({-3,2,1,0,3,-2,-1,0}, "inttest1") |
| 241 |
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2 | .group({0,1,0,1,0,0,1,1}, "group1") |
| 242 |
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2 | .group({0,0,0,0,0,0,0,0}, "empty") |
| 243 |
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1 | .get(); |
| 244 | |||
| 245 | // int32_t | ||
| 246 | { | ||
| 247 | 1 | int32_t min=0, max=0; | |
| 248 | 2 | Int32Tree mint, maxt; | |
| 249 |
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2 | bool success = points::evalMinMax<int32_t>(points->tree(), "inttest1", min, max, points::NullFilter(), &mint, &maxt); |
| 250 |
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1 | EXPECT_TRUE(success); |
| 251 |
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1 | EXPECT_EQ(int32_t(-3), min); |
| 252 |
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1 | EXPECT_EQ(int32_t(3), max); |
| 253 | |||
| 254 |
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1 | EXPECT_EQ(mint.leafCount(), 0); |
| 255 |
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1 | EXPECT_EQ(mint.activeTileCount(), 1); |
| 256 |
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1 | EXPECT_EQ(maxt.leafCount(), 0); |
| 257 |
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1 | EXPECT_EQ(maxt.activeTileCount(), 1); |
| 258 |
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1 | EXPECT_TRUE(mint.hasSameTopology(maxt)); |
| 259 | |||
| 260 |
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1 | EXPECT_TRUE(mint.isValueOn({0,0,0})); |
| 261 |
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1 | EXPECT_TRUE(maxt.isValueOn({0,0,0})); |
| 262 |
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2 | EXPECT_EQ(mint.getValue({0,0,0}), -3); |
| 263 |
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2 | EXPECT_EQ(maxt.getValue({0,0,0}), 3); |
| 264 | } | ||
| 265 | |||
| 266 | // test min max trees filter | ||
| 267 | |||
| 268 |
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1 | points::GroupFilter filter("group1", points->tree().cbeginLeaf()->attributeSet()); |
| 269 | |||
| 270 | // int32_t | ||
| 271 | { | ||
| 272 | 1 | int32_t min=0, max=0; | |
| 273 | 2 | Int32Tree mint, maxt; | |
| 274 |
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2 | bool success = points::evalMinMax<int32_t>(points->tree(), "inttest1", min, max, filter, &mint, &maxt); |
| 275 |
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1 | EXPECT_TRUE(success); |
| 276 |
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1 | EXPECT_EQ(int32_t(-1), min); |
| 277 |
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1 | EXPECT_EQ(int32_t(2), max); |
| 278 | |||
| 279 |
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1 | EXPECT_EQ(mint.leafCount(), 0); |
| 280 |
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1 | EXPECT_EQ(mint.activeTileCount(), 1); |
| 281 |
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1 | EXPECT_EQ(maxt.leafCount(), 0); |
| 282 |
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1 | EXPECT_EQ(maxt.activeTileCount(), 1); |
| 283 |
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1 | EXPECT_TRUE(mint.hasSameTopology(maxt)); |
| 284 | |||
| 285 |
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1 | EXPECT_TRUE(mint.isValueOn({0,0,0})); |
| 286 |
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1 | EXPECT_TRUE(maxt.isValueOn({0,0,0})); |
| 287 |
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2 | EXPECT_EQ(mint.getValue({0,0,0}), -1); |
| 288 |
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2 | EXPECT_EQ(maxt.getValue({0,0,0}), 2); |
| 289 | } | ||
| 290 | |||
| 291 | // test no valid points in filter | ||
| 292 | { | ||
| 293 |
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1 | points::GroupFilter empty("empty", points->tree().cbeginLeaf()->attributeSet()); |
| 294 | 1 | int32_t min=100, max=100; | |
| 295 | 2 | Int32Tree mint, maxt; | |
| 296 |
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1 | bool success = points::evalMinMax<int32_t>(points->tree(), "inttest1", min, max, empty, &mint, &maxt); |
| 297 |
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1 | EXPECT_TRUE(!success); |
| 298 |
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1 | EXPECT_EQ(min, 100); |
| 299 |
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1 | EXPECT_EQ(max, 100); |
| 300 |
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1 | EXPECT_TRUE(mint.empty()); |
| 301 |
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1 | EXPECT_TRUE(maxt.empty()); |
| 302 | |||
| 303 | // basic signature returns zeroVal | ||
| 304 |
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1 | auto int_result = points::evalMinMax<int32_t>(points->tree(), "inttest1", empty); |
| 305 |
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1 | EXPECT_EQ(int32_t(0), int_result.first); |
| 306 |
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1 | EXPECT_EQ(int32_t(0), int_result.second); |
| 307 | } | ||
| 308 | } | ||
| 309 | 1 | } | |
| 310 | |||
| 311 | |||
| 312 | template <typename PointsT, typename ValueT> | ||
| 313 | using ResultTree = | ||
| 314 | typename std::decay<PointsT>::type::TreeType::template ValueConverter<ValueT>::Type; | ||
| 315 | |||
| 316 | |||
| 317 |
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2 | TEST_F(TestPointStatistics, testEvalAverage) |
| 318 | { | ||
| 319 | // Test no points | ||
| 320 | { | ||
| 321 |
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2 | const auto points = PointBuilder({}).get(); |
| 322 | 1 | ConvertElementType<float, double>::Type avg = -1.0; | |
| 323 |
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1 | const bool success = points::evalAverage<float>(points->tree(), "noop", avg); |
| 324 |
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1 | EXPECT_TRUE(!success); |
| 325 |
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1 | EXPECT_EQ(-1.0, avg); |
| 326 | |||
| 327 | // basic signature returns zeroVal | ||
| 328 |
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1 | auto float_result = points::evalAverage<float>(points->tree(), "noop"); |
| 329 |
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1 | EXPECT_EQ(0.0, float_result); |
| 330 | } | ||
| 331 | |||
| 332 | // Test no attribute | ||
| 333 | { | ||
| 334 |
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2 | auto points = PointBuilder({Vec3f(0)}) |
| 335 |
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2 | .attribute<float>(zeroVal<float>(), "test") |
| 336 |
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1 | .get(); |
| 337 | 1 | ConvertElementType<float, double>::Type avg=-1.0; | |
| 338 |
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1 | const bool success = points::evalAverage<float>(points->tree(), "noop", avg); |
| 339 |
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1 | EXPECT_TRUE(!success); |
| 340 |
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1 | EXPECT_EQ(-1.0, avg); |
| 341 | } | ||
| 342 | |||
| 343 | // Test invalid attribute Type | ||
| 344 | { | ||
| 345 |
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2 | auto points = PointBuilder({Vec3f(0)}) |
| 346 |
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2 | .attribute<float>(zeroVal<float>(), "test") |
| 347 |
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1 | .get(); |
| 348 | 1 | ConvertElementType<int32_t, double>::Type avg=-1; | |
| 349 |
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2 | EXPECT_ANY_THROW(points::evalAverage<int32_t>(points->tree(), "test", avg)); |
| 350 |
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1 | EXPECT_EQ(-1.0, avg); |
| 351 | } | ||
| 352 | |||
| 353 | // Test one point | ||
| 354 | { | ||
| 355 |
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2 | auto points = PointBuilder({Vec3f(0)}) |
| 356 |
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2 | .attribute<float>(100.0f, "test1") |
| 357 |
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2 | .attribute<int>(200, "test2") |
| 358 |
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1 | .get(); |
| 359 | 1 | ConvertElementType<float, double>::Type avgf = -1.0f; | |
| 360 |
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2 | bool success = points::evalAverage<float>(points->tree(), "test1", avgf); |
| 361 |
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1 | EXPECT_TRUE(success); |
| 362 |
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1 | EXPECT_EQ(100.0, avgf); |
| 363 | |||
| 364 | 1 | ConvertElementType<int, double>::Type avgi=-1; | |
| 365 |
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2 | success = points::evalAverage<int>(points->tree(), "test2", avgi); |
| 366 |
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1 | EXPECT_TRUE(success); |
| 367 |
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1 | EXPECT_EQ(200, avgi); |
| 368 | } | ||
| 369 | |||
| 370 | // Test average | ||
| 371 | { | ||
| 372 | // different point counts in different nodes | ||
| 373 | // with a voxel size of 1.0, creates 3 leaf nodes with 4,3,1 points | ||
| 374 | std::vector<openvdb::Vec3f> boxPoints { | ||
| 375 | { 1,1,1}, { 2,2,2}, { 3,3,3}, {4,4,4}, | ||
| 376 | {-1,1,1}, {-2,1,1}, {-3,1,1}, | ||
| 377 | {1,-1,1} | ||
| 378 |
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1 | }; |
| 379 | |||
| 380 | ✗ | auto points = PointBuilder(boxPoints) // 8 points | |
| 381 |
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2 | .attribute<int32_t>({-3,2,1,0,3,-2,-1,0}, "inttest1") // zero crossing |
| 382 |
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2 | .attribute<int32_t>({-10,-5,-9,-1,-2,-2,-1,-2}, "inttest2") // all under 0 |
| 383 |
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2 | .attribute<float>({-4.3f,5.1f,-1.1f,0.0f,9.5f,-10.2f,3.4f,6.2f}, "floattest") |
| 384 | .attribute<Vec3f>({ Vec3f(0.0f), Vec3f(-0.0f), | ||
| 385 | Vec3f(0.3f), Vec3f(1.0f,-0.5f,-0.2f), | ||
| 386 | Vec3f(0.2f), Vec3f(0.2f, 0.5f, 0.1f), | ||
| 387 |
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2 | Vec3f(-0.1f), Vec3f(0.1f) }, "vectest") |
| 388 |
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2 | .group({0,1,0,1,0,0,1,1}, "group1") |
| 389 |
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2 | .group({0,0,0,0,0,0,0,0}, "empty") |
| 390 | .voxelsize(1.0) | ||
| 391 |
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1 | .get(); |
| 392 | |||
| 393 | // test basic signature (int32_t, float, Ve3f) | ||
| 394 | { | ||
| 395 |
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1 | auto int_result = points::evalAverage<int32_t>(points->tree(), "inttest1"); |
| 396 |
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1 | EXPECT_EQ(0.0, int_result); |
| 397 | |||
| 398 |
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1 | auto flt_result = points::evalAverage<float>(points->tree(), "floattest"); |
| 399 |
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1 | EXPECT_NEAR(1.075, flt_result, 1e-6); |
| 400 | |||
| 401 |
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1 | auto vec_result = points::evalAverage<Vec3f>(points->tree(), "vectest"); |
| 402 |
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1 | EXPECT_NEAR(0.2125, vec_result.x(), 1e-6); |
| 403 |
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1 | EXPECT_NEAR(0.0625, vec_result.y(), 1e-6); |
| 404 |
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1 | EXPECT_NEAR(0.05, vec_result.z(), 1e-6); |
| 405 | } | ||
| 406 | |||
| 407 | // int32_t | ||
| 408 | { | ||
| 409 | 1 | ConvertElementType<int32_t, double>::Type avgi = 0; | |
| 410 |
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2 | bool success = points::evalAverage<int32_t>(points->tree(), "inttest1", avgi); |
| 411 |
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1 | EXPECT_TRUE(success); |
| 412 |
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1 | EXPECT_EQ(0.0, avgi); |
| 413 | |||
| 414 |
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2 | success = points::evalAverage<int32_t>(points->tree(), "inttest2", avgi); |
| 415 |
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1 | EXPECT_TRUE(success); |
| 416 |
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1 | EXPECT_EQ(-4.0, avgi); |
| 417 | } | ||
| 418 | |||
| 419 | // float | ||
| 420 | { | ||
| 421 | 1 | ConvertElementType<float, double>::Type avg = 0; | |
| 422 |
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2 | bool success = points::evalAverage<float>(points->tree(), "floattest", avg); |
| 423 |
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1 | EXPECT_TRUE(success); |
| 424 |
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1 | EXPECT_NEAR(1.075, avg, 1e-6); |
| 425 | } | ||
| 426 | |||
| 427 | // Vec3f | ||
| 428 | { | ||
| 429 | ConvertElementType<Vec3f, double>::Type avg(0); | ||
| 430 |
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2 | bool success = points::evalAverage<Vec3f>(points->tree(), "vectest", avg); |
| 431 |
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1 | EXPECT_TRUE(success); |
| 432 |
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1 | EXPECT_NEAR(0.2125, avg.x(), 1e-6); |
| 433 |
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1 | EXPECT_NEAR(0.0625, avg.y(), 1e-6); |
| 434 |
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1 | EXPECT_NEAR(0.05, avg.z(), 1e-6); |
| 435 | } | ||
| 436 | |||
| 437 | // Test avg filter | ||
| 438 | |||
| 439 |
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1 | points::GroupFilter filter("group1", points->tree().cbeginLeaf()->attributeSet()); |
| 440 | |||
| 441 | // int32_t | ||
| 442 | { | ||
| 443 | 1 | ConvertElementType<int32_t, double>::Type avg=0; | |
| 444 |
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2 | bool success = points::evalAverage<int32_t>(points->tree(), "inttest1", avg, filter); |
| 445 |
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1 | EXPECT_TRUE(success); |
| 446 |
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1 | EXPECT_EQ(1.0/4.0, avg); |
| 447 | |||
| 448 |
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2 | success = points::evalAverage<int32_t>(points->tree(), "inttest2", avg, filter); |
| 449 |
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1 | EXPECT_TRUE(success); |
| 450 |
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1 | EXPECT_EQ(-9.0/4.0, avg); |
| 451 | } | ||
| 452 | |||
| 453 | // float | ||
| 454 | { | ||
| 455 | 1 | ConvertElementType<float, double>::Type avg=0; | |
| 456 |
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2 | bool success = points::evalAverage<float>(points->tree(), "floattest", avg, filter); |
| 457 |
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1 | EXPECT_TRUE(success); |
| 458 |
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1 | EXPECT_EQ((5.1f+3.4f+6.2f)/4.0f, avg); |
| 459 | } | ||
| 460 | |||
| 461 | // Vec3f | ||
| 462 | { | ||
| 463 | ConvertElementType<Vec3f, double>::Type avg; | ||
| 464 |
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2 | bool success = points::evalAverage<Vec3f>(points->tree(), "vectest", avg, filter); |
| 465 |
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1 | EXPECT_TRUE(success); |
| 466 |
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1 | EXPECT_NEAR(1.0f/4.0f, avg.x(), 1e-6); |
| 467 |
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1 | EXPECT_NEAR(-0.5f/4.0, avg.y(), 1e-6); |
| 468 |
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1 | EXPECT_NEAR(-0.2f/4.0f, avg.z(), 1e-6); |
| 469 | } | ||
| 470 | |||
| 471 | // test no valid points in filter | ||
| 472 | { | ||
| 473 |
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1 | points::GroupFilter empty("empty", points->tree().cbeginLeaf()->attributeSet()); |
| 474 | 1 | ConvertElementType<int32_t, double>::Type avg=100; | |
| 475 |
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1 | bool success = points::evalAverage<int32_t>(points->tree(), "inttest1", avg, empty); |
| 476 |
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1 | EXPECT_TRUE(!success); |
| 477 |
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1 | EXPECT_EQ(avg, 100); |
| 478 | } | ||
| 479 | |||
| 480 | // Test avg trees | ||
| 481 | |||
| 482 | // int32_t | ||
| 483 | { | ||
| 484 | 1 | ConvertElementType<int32_t, double>::Type avg=0; | |
| 485 | 2 | ResultTree<decltype(*points), decltype(avg)> avgt; | |
| 486 | |||
| 487 |
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2 | bool success = points::evalAverage<int32_t>(points->tree(), "inttest2", avg, points::NullFilter(), &avgt); |
| 488 |
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1 | EXPECT_TRUE(success); |
| 489 |
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1 | EXPECT_EQ(-4.0, avg); |
| 490 | |||
| 491 |
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1 | EXPECT_EQ(avgt.leafCount(), 0); |
| 492 |
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1 | EXPECT_EQ(avgt.activeTileCount(), 3); |
| 493 | |||
| 494 |
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1 | EXPECT_TRUE(avgt.isValueOn({-8, 0, 0})); |
| 495 |
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1 | EXPECT_TRUE(avgt.isValueOn({ 0,-8, 0})); |
| 496 |
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1 | EXPECT_TRUE(avgt.isValueOn({ 0, 0, 0})); |
| 497 | |||
| 498 |
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1 | EXPECT_NEAR(avgt.getValue({-8, 0, 0}), -1.66667, 1e-4); |
| 499 |
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2 | EXPECT_EQ(avgt.getValue({ 0,-8, 0}), -2); |
| 500 |
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2 | EXPECT_EQ(avgt.getValue({ 0, 0, 0}), -6.25); |
| 501 | } | ||
| 502 | } | ||
| 503 | |||
| 504 | // Test avg trees (multiple points in leaf) | ||
| 505 | { | ||
| 506 |
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2 | auto points = PointBuilder(getBoxPoints(/*scale*/0.0f)) // 8 points at origin |
| 507 |
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2 | .attribute<float>({-4.3f,5.1f,-1.1f,0.0f,9.5f,-10.2f,3.4f,6.2f}, "floattest") |
| 508 |
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2 | .group({0,1,0,1,0,0,1,1}, "group1") |
| 509 |
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2 | .group({0,0,0,0,0,0,0,0}, "empty") |
| 510 |
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1 | .get(); |
| 511 | |||
| 512 | // float | ||
| 513 | { | ||
| 514 | 1 | ConvertElementType<float, double>::Type avg=0; | |
| 515 | 2 | ResultTree<decltype(*points), decltype(avg)> avgt; | |
| 516 |
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2 | bool success = points::evalAverage<float>(points->tree(), "floattest", avg, points::NullFilter(), &avgt); |
| 517 |
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1 | EXPECT_TRUE(success); |
| 518 |
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1 | EXPECT_NEAR(1.075, avg, 1e-6); |
| 519 | |||
| 520 |
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1 | EXPECT_EQ(avgt.leafCount(), 0); |
| 521 |
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1 | EXPECT_EQ(avgt.activeTileCount(), 1); |
| 522 |
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1 | EXPECT_TRUE(avgt.isValueOn({0,0,0})); |
| 523 |
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1 | EXPECT_NEAR(avgt.getValue({0,0,0}), 1.075f, 1e-6); |
| 524 | } | ||
| 525 | |||
| 526 | // test avg trees filter | ||
| 527 | |||
| 528 |
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1 | points::GroupFilter filter("group1", points->tree().cbeginLeaf()->attributeSet()); |
| 529 | |||
| 530 | // float | ||
| 531 | { | ||
| 532 | 1 | ConvertElementType<float, double>::Type avg=0; | |
| 533 | 2 | ResultTree<decltype(*points), decltype(avg)> avgt; | |
| 534 |
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2 | bool success = points::evalAverage<float>(points->tree(), "floattest", avg, filter, &avgt); |
| 535 |
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1 | EXPECT_TRUE(success); |
| 536 |
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1 | EXPECT_EQ((5.1f+3.4f+6.2f)/4.0f, avg); |
| 537 | |||
| 538 |
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1 | EXPECT_EQ(avgt.leafCount(), 0); |
| 539 |
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1 | EXPECT_EQ(avgt.activeTileCount(), 1); |
| 540 |
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1 | EXPECT_TRUE(avgt.isValueOn({0,0,0})); |
| 541 |
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2 | EXPECT_EQ(avgt.getValue({0,0,0}), (5.1f+3.4f+6.2f)/4.0f); |
| 542 | } | ||
| 543 | |||
| 544 | // test no valid points in filter | ||
| 545 | { | ||
| 546 |
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1 | points::GroupFilter empty("empty", points->tree().cbeginLeaf()->attributeSet()); |
| 547 | 1 | ConvertElementType<float, double>::Type avg=100; | |
| 548 | 2 | ResultTree<decltype(*points), decltype(avg)> avgt; | |
| 549 |
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1 | bool success = points::evalAverage<float>(points->tree(), "floattest", avg, empty, &avgt); |
| 550 |
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1 | EXPECT_TRUE(!success); |
| 551 |
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1 | EXPECT_EQ(avg, 100); |
| 552 |
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1 | EXPECT_TRUE(avgt.empty()); |
| 553 | |||
| 554 | // basic signature returns zeroVal | ||
| 555 |
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1 | auto float_result = points::evalAverage<float>(points->tree(), "floattest", empty); |
| 556 |
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1 | EXPECT_EQ(0.0, float_result); |
| 557 | } | ||
| 558 | } | ||
| 559 | 1 | } | |
| 560 | |||
| 561 | |||
| 562 |
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2 | TEST_F(TestPointStatistics, testAccumulate) |
| 563 | { | ||
| 564 | // Test no points | ||
| 565 | { | ||
| 566 |
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2 | const auto points = PointBuilder({}).get(); |
| 567 | 1 | PromoteType<float>::Highest total=-1.0f; | |
| 568 |
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1 | const bool success = points::accumulate<float>(points->tree(), "noop", total); |
| 569 |
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1 | EXPECT_TRUE(!success); |
| 570 |
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1 | EXPECT_EQ(-1.0f, total); |
| 571 | |||
| 572 | // basic signature returns zeroVal | ||
| 573 |
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1 | auto float_result = points::accumulate<float>(points->tree(), "noop"); |
| 574 |
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1 | EXPECT_EQ(0.0, float_result); |
| 575 | } | ||
| 576 | |||
| 577 | // Test no attribute | ||
| 578 | { | ||
| 579 |
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2 | auto points = PointBuilder({Vec3f(0)}) |
| 580 |
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2 | .attribute<float>(zeroVal<float>(), "test") |
| 581 |
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1 | .get(); |
| 582 | 1 | PromoteType<float>::Highest total=-1.0f; | |
| 583 |
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1 | const bool success = points::accumulate<float>(points->tree(), "noop", total); |
| 584 |
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1 | EXPECT_TRUE(!success); |
| 585 |
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1 | EXPECT_EQ(-1.0f, total); |
| 586 | } | ||
| 587 | |||
| 588 | // Test invalid attribute Type | ||
| 589 | { | ||
| 590 |
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2 | auto points = PointBuilder({Vec3f(0)}) |
| 591 |
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2 | .attribute<float>(zeroVal<float>(), "test") |
| 592 |
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1 | .get(); |
| 593 | 1 | PromoteType<int32_t>::Highest total=-1; | |
| 594 |
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2 | EXPECT_ANY_THROW(points::accumulate<int32_t>(points->tree(), "test", total)); |
| 595 |
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1 | EXPECT_EQ(int32_t(-1), total); |
| 596 | } | ||
| 597 | |||
| 598 | // Test accumulate | ||
| 599 | { | ||
| 600 |
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2 | auto points = PointBuilder(getBoxPoints()) // 8 points |
| 601 |
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2 | .attribute<int32_t>({-3,2,1,0,3,-2,-1,0}, "inttest1") // zero crossing |
| 602 |
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2 | .attribute<int32_t>({-10,-5,-9,-1,-2,-2,-1,-2}, "inttest2") // all under 0 |
| 603 |
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2 | .attribute<float>({-4.3f,5.1f,-1.1f,0.0f,9.5f,-10.2f,3.4f,6.2f}, "floattest") |
| 604 | .attribute<Vec3f>({ Vec3f(0.0f), Vec3f(-0.0f), | ||
| 605 | Vec3f(0.3f), Vec3f(1.0f,-0.5f,-0.2f), | ||
| 606 | Vec3f(0.2f), Vec3f(0.2f, 0.5f, 0.1f), | ||
| 607 |
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2 | Vec3f(-0.1f), Vec3f(0.1f) }, "vectest") |
| 608 |
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2 | .group({0,1,0,1,0,0,1,1}, "group1") |
| 609 |
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2 | .group({0,0,0,0,0,0,0,0}, "empty") |
| 610 | .voxelsize(1.0) | ||
| 611 |
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1 | .get(); |
| 612 | |||
| 613 | // test basic signature (int32_t, float, Ve3f) | ||
| 614 | { | ||
| 615 |
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1 | auto int_result = points::accumulate<int32_t>(points->tree(), "inttest1"); |
| 616 |
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1 | EXPECT_EQ(0.0, int_result); |
| 617 | |||
| 618 |
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1 | auto flt_result = points::accumulate<float>(points->tree(), "floattest"); |
| 619 |
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1 | EXPECT_NEAR(-4.3+5.1+-1.1+0.0+9.5+-10.2+3.4+6.2, flt_result, 1e-6); |
| 620 | |||
| 621 |
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1 | auto vec_result = points::accumulate<Vec3f>(points->tree(), "vectest"); |
| 622 | Vec3d r = Vec3d(0.3) + Vec3d(1.0,-0.5,-0.2) + Vec3d(0.2) + Vec3d(0.2, 0.5, 0.1) + Vec3d(-0.1) + Vec3d(0.1); | ||
| 623 |
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1 | EXPECT_NEAR(r.x(), vec_result.x(), 1e-6); |
| 624 |
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1 | EXPECT_NEAR(r.y(), vec_result.y(), 1e-6); |
| 625 |
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1 | EXPECT_NEAR(r.z(), vec_result.z(), 1e-6); |
| 626 | } | ||
| 627 | |||
| 628 | // int32_t | ||
| 629 | { | ||
| 630 | 1 | PromoteType<int32_t>::Highest totali = 1; | |
| 631 |
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2 | bool success = points::accumulate<int32_t>(points->tree(), "inttest1", totali); |
| 632 |
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1 | EXPECT_TRUE(success); |
| 633 |
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1 | EXPECT_EQ(int32_t(0), totali); |
| 634 | |||
| 635 |
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2 | success = points::accumulate<int32_t>(points->tree(), "inttest2", totali); |
| 636 |
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1 | EXPECT_TRUE(success); |
| 637 |
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1 | EXPECT_EQ(int32_t(-32), totali); |
| 638 | |||
| 639 | 1 | PromoteType<int32_t>::Highest totalf = 1.0f; | |
| 640 |
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2 | success = points::accumulate<int32_t>(points->tree(), "inttest1", totalf); |
| 641 |
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1 | EXPECT_TRUE(success); |
| 642 |
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1 | EXPECT_EQ(0.0f, totalf); |
| 643 | |||
| 644 |
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2 | success = points::accumulate<int32_t>(points->tree(), "inttest2", totalf); |
| 645 |
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1 | EXPECT_TRUE(success); |
| 646 |
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1 | EXPECT_EQ(-32.0f, totalf); |
| 647 | } | ||
| 648 | |||
| 649 | // float | ||
| 650 | { | ||
| 651 | 1 | PromoteType<float>::Highest total=0; | |
| 652 |
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2 | bool success = points::accumulate<float>(points->tree(), "floattest", total); |
| 653 |
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1 | EXPECT_TRUE(success); |
| 654 |
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1 | EXPECT_NEAR(-4.3+5.1+-1.1+0.0+9.5+-10.2+3.4+6.2, total, 1e-6); |
| 655 | } | ||
| 656 | |||
| 657 | // Vec3f | ||
| 658 | { | ||
| 659 | PromoteType<Vec3f>::Highest total(0); | ||
| 660 |
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2 | bool success = points::accumulate<Vec3f>(points->tree(), "vectest", total); |
| 661 |
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1 | EXPECT_TRUE(success); |
| 662 | Vec3d r = Vec3d(0.3) + Vec3d(1.0,-0.5,-0.2) + Vec3d(0.2) + Vec3d(0.2, 0.5, 0.1) + Vec3d(-0.1) + Vec3d(0.1); | ||
| 663 |
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1 | EXPECT_NEAR(r.x(), total.x(), 1e-6); |
| 664 |
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1 | EXPECT_NEAR(r.y(), total.y(), 1e-6); |
| 665 |
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1 | EXPECT_NEAR(r.z(), total.z(), 1e-6); |
| 666 | } | ||
| 667 | |||
| 668 | // Test accumulate filter | ||
| 669 | |||
| 670 |
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1 | points::GroupFilter filter("group1", points->tree().cbeginLeaf()->attributeSet()); |
| 671 | |||
| 672 | // int32_t | ||
| 673 | { | ||
| 674 | 1 | PromoteType<int32_t>::Highest total=0; | |
| 675 |
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2 | bool success = points::accumulate<int32_t>(points->tree(), "inttest1", total, filter); |
| 676 |
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1 | EXPECT_TRUE(success); |
| 677 |
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1 | EXPECT_EQ(1.0f, total); |
| 678 | |||
| 679 |
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2 | success = points::accumulate<int32_t>(points->tree(), "inttest2", total, filter); |
| 680 |
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1 | EXPECT_TRUE(success); |
| 681 |
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1 | EXPECT_EQ(-9.0f, total); |
| 682 | } | ||
| 683 | |||
| 684 | // float | ||
| 685 | { | ||
| 686 | 1 | PromoteType<float>::Highest total=0; | |
| 687 |
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2 | bool success = points::accumulate<float>(points->tree(), "floattest", total, filter); |
| 688 |
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1 | EXPECT_TRUE(success); |
| 689 |
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1 | EXPECT_EQ(5.1f+3.4f+6.2f, total); |
| 690 | } | ||
| 691 | |||
| 692 | // Vec3f | ||
| 693 | { | ||
| 694 | PromoteType<Vec3f>::Highest total; | ||
| 695 |
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2 | bool success = points::accumulate<Vec3f>(points->tree(), "vectest", total, filter); |
| 696 |
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1 | EXPECT_TRUE(success); |
| 697 |
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1 | EXPECT_EQ(1.0f, total.x()); |
| 698 |
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1 | EXPECT_NEAR(-0.5f, total.y(), 1e-6); |
| 699 |
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1 | EXPECT_NEAR(-0.2f, total.z(), 1e-6); |
| 700 | } | ||
| 701 | |||
| 702 | // test no valid points in filter | ||
| 703 | { | ||
| 704 |
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1 | points::GroupFilter empty("empty", points->tree().cbeginLeaf()->attributeSet()); |
| 705 | 1 | PromoteType<int32_t>::Highest total=100; | |
| 706 |
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1 | bool success = points::accumulate<int32_t>(points->tree(), "inttest1", total, empty); |
| 707 |
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1 | EXPECT_TRUE(!success); |
| 708 |
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1 | EXPECT_EQ(total, 100); |
| 709 | } | ||
| 710 | |||
| 711 | // Test total trees | ||
| 712 | |||
| 713 | // int32_t | ||
| 714 | { | ||
| 715 | 1 | PromoteType<int32_t>::Highest total=0; | |
| 716 | 2 | ResultTree<decltype(*points), decltype(total)> totalt; | |
| 717 |
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2 | bool success = points::accumulate<int32_t>(points->tree(), "inttest1", total, points::NullFilter(), &totalt); |
| 718 |
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1 | EXPECT_TRUE(success); |
| 719 |
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1 | EXPECT_EQ(0, total); |
| 720 | |||
| 721 |
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1 | EXPECT_EQ(totalt.leafCount(), 0); |
| 722 |
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1 | EXPECT_EQ(totalt.activeTileCount(), 8); |
| 723 | |||
| 724 |
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1 | EXPECT_TRUE(totalt.isValueOn({-1, -1, -1})); |
| 725 |
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1 | EXPECT_TRUE(totalt.isValueOn({-1, -1, 0})); |
| 726 |
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1 | EXPECT_TRUE(totalt.isValueOn({-1, 0, -1})); |
| 727 |
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1 | EXPECT_TRUE(totalt.isValueOn({-1, 0, 0})); |
| 728 |
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1 | EXPECT_TRUE(totalt.isValueOn({0, -1, -1})); |
| 729 |
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1 | EXPECT_TRUE(totalt.isValueOn({0, -1, 1})); |
| 730 |
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1 | EXPECT_TRUE(totalt.isValueOn({0, 0, -1})); |
| 731 |
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1 | EXPECT_TRUE(totalt.isValueOn({0, 0, 0})); |
| 732 | |||
| 733 | // only 1 point per leaf so total = points value | ||
| 734 | |||
| 735 |
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2 | EXPECT_EQ(totalt.getValue({-1, -1, -1}), -3); |
| 736 |
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2 | EXPECT_EQ(totalt.getValue({-1, -1, 0}), 2); |
| 737 |
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2 | EXPECT_EQ(totalt.getValue({-1, 0, -1}), 1); |
| 738 |
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2 | EXPECT_EQ(totalt.getValue({-1, 0, 0}), 0); |
| 739 |
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2 | EXPECT_EQ(totalt.getValue({0, -1, -1}), 3); |
| 740 |
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2 | EXPECT_EQ(totalt.getValue({0, -1, 1}),-2); |
| 741 |
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2 | EXPECT_EQ(totalt.getValue({0, 0, -1}), -1); |
| 742 |
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2 | EXPECT_EQ(totalt.getValue({0, 0, 0}), 0); |
| 743 | } | ||
| 744 | } | ||
| 745 | |||
| 746 | // Test total trees (multiple points in leaf) | ||
| 747 | { | ||
| 748 |
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2 | auto points = PointBuilder(getBoxPoints(/*scale*/0.0f)) // 8 points at origin |
| 749 |
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2 | .attribute<float>({-4.3f,5.1f,-1.1f,0.0f,9.5f,-10.2f,3.4f,6.2f}, "floattest") |
| 750 |
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2 | .group({0,1,0,1,0,0,1,1}, "group1") |
| 751 |
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2 | .group({0,0,0,0,0,0,0,0}, "empty") |
| 752 |
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1 | .get(); |
| 753 | |||
| 754 | // float | ||
| 755 | { | ||
| 756 | 1 | PromoteType<float>::Highest total=0; | |
| 757 | 2 | ResultTree<decltype(*points), decltype(total)> totalt; | |
| 758 |
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2 | bool success = points::accumulate<float>(points->tree(), "floattest", total, points::NullFilter(), &totalt); |
| 759 |
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1 | EXPECT_TRUE(success); |
| 760 |
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1 | EXPECT_NEAR(-4.3+5.1+-1.1+0.0+9.5+-10.2+3.4+6.2, total, 1e-6); |
| 761 | |||
| 762 |
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1 | EXPECT_EQ(totalt.leafCount(), 0); |
| 763 |
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1 | EXPECT_EQ(totalt.activeTileCount(), 1); |
| 764 |
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1 | EXPECT_TRUE(totalt.isValueOn({0,0,0})); |
| 765 |
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1 | EXPECT_NEAR(totalt.getValue({0,0,0}), -4.3+5.1+-1.1+0.0+9.5+-10.2+3.4+6.2, 1e-6); |
| 766 | } | ||
| 767 | |||
| 768 | // test total trees filter | ||
| 769 | |||
| 770 |
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1 | points::GroupFilter filter("group1", points->tree().cbeginLeaf()->attributeSet()); |
| 771 | |||
| 772 | // float | ||
| 773 | { | ||
| 774 | 1 | PromoteType<float>::Highest total=0; | |
| 775 | 2 | ResultTree<decltype(*points), decltype(total)> totalt; | |
| 776 |
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2 | bool success = points::accumulate<float>(points->tree(), "floattest", total, filter, &totalt); |
| 777 |
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1 | EXPECT_TRUE(success); |
| 778 |
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1 | EXPECT_EQ(5.1f+3.4f+6.2f, total); |
| 779 | |||
| 780 |
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1 | EXPECT_EQ(totalt.leafCount(), 0); |
| 781 |
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1 | EXPECT_EQ(totalt.activeTileCount(), 1); |
| 782 |
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1 | EXPECT_TRUE(totalt.isValueOn({0,0,0})); |
| 783 |
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2 | EXPECT_EQ(totalt.getValue({0,0,0}), 5.1f+3.4f+6.2f); |
| 784 | } | ||
| 785 | |||
| 786 | // test no valid points in filter | ||
| 787 | { | ||
| 788 |
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1 | points::GroupFilter empty("empty", points->tree().cbeginLeaf()->attributeSet()); |
| 789 | 1 | PromoteType<float>::Highest total=100; | |
| 790 | 2 | ResultTree<decltype(*points), decltype(total)> totalt; | |
| 791 |
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1 | bool success = points::accumulate<float>(points->tree(), "floattest", total, empty, &totalt); |
| 792 |
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1 | EXPECT_TRUE(!success); |
| 793 |
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1 | EXPECT_EQ(total, 100); |
| 794 |
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1 | EXPECT_TRUE(totalt.empty()); |
| 795 | |||
| 796 | // basic signature returns zeroVal | ||
| 797 |
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1 | auto float_result = points::accumulate<float>(points->tree(), "noop", empty); |
| 798 |
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1 | EXPECT_EQ(0.0, float_result); |
| 799 | } | ||
| 800 | } | ||
| 801 | 1 | } | |
| 802 | |||
| 803 | template <typename VecT> | ||
| 804 | struct AbsExtent | ||
| 805 | { | ||
| 806 | using ExtentT = std::pair<VecT, VecT>; | ||
| 807 | 1 | AbsExtent(const VecT& init) : mMinMax(math::Abs(init), math::Abs(init)) {} | |
| 808 | ✗ | AbsExtent(const ExtentT& init) : mMinMax(init) {} | |
| 809 | inline const ExtentT& get() const { return mMinMax; } | ||
| 810 | 7 | inline void operator()(const VecT& b) | |
| 811 | { | ||
| 812 | 7 | auto in = math::Abs(b); | |
| 813 | 7 | mMinMax.first = math::minComponent(mMinMax.first, in); | |
| 814 | 7 | mMinMax.second = math::maxComponent(mMinMax.second, in); | |
| 815 | 7 | } | |
| 816 | ✗ | inline void operator()(const ExtentT& b) | |
| 817 | { | ||
| 818 | ✗ | mMinMax.first = math::minComponent(mMinMax.first, b.first); | |
| 819 | ✗ | mMinMax.second = math::maxComponent(mMinMax.second, b.second); | |
| 820 | } | ||
| 821 | ExtentT mMinMax; | ||
| 822 | }; | ||
| 823 | |||
| 824 | |||
| 825 |
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1 | TEST_F(TestPointStatistics, testEvalExtents) |
| 826 | { | ||
| 827 | // Test direct invocation of evalExtents | ||
| 828 | |||
| 829 | // Test Vec3f->float magnitude | ||
| 830 | { | ||
| 831 |
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3 | auto points = PointBuilder(getBoxPoints(/*scale=*/0.0)) // 8 points |
| 832 | .attribute<Vec3f>({ | ||
| 833 | Vec3f(0.0f), Vec3f(-0.0f), Vec3f(0.3f), | ||
| 834 | Vec3f(1.0f,-0.5f,-0.2f), Vec3f(0.2f), | ||
| 835 | Vec3f(0.2f, 0.5f, 0.1f), Vec3f(-0.1f), | ||
| 836 | Vec3f(0.1f), | ||
| 837 |
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2 | }, "vectest") |
| 838 |
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1 | .get(); |
| 839 | |||
| 840 | |||
| 841 | // Abs of vector componentwise | ||
| 842 | |||
| 843 | { | ||
| 844 |
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6 | AbsExtent<Vec3f>::ExtentT p; |
| 845 | 2 | Vec3fTree mint, maxt; | |
| 846 | const bool success = points::statistics_internal::evalExtents | ||
| 847 | <Vec3f, points::NullCodec, points::NullFilter, AbsExtent<Vec3f>, points::PointDataTree> | ||
| 848 |
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2 | (points->tree(), "vectest", p, points::NullFilter(), &mint, &maxt); |
| 849 |
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1 | EXPECT_TRUE(success); |
| 850 |
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1 | EXPECT_EQ(p.first.x(), 0.0f); |
| 851 |
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1 | EXPECT_EQ(p.first.y(), 0.0f); |
| 852 |
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1 | EXPECT_EQ(p.first.z(), 0.0f); |
| 853 |
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1 | EXPECT_EQ(p.second.x(), 1.0f); |
| 854 |
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1 | EXPECT_EQ(p.second.y(), 0.5f); |
| 855 |
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1 | EXPECT_EQ(p.second.z(), 0.3f); |
| 856 | |||
| 857 |
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1 | EXPECT_EQ(mint.leafCount(), 0); |
| 858 |
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1 | EXPECT_EQ(mint.activeTileCount(), 1); |
| 859 |
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1 | EXPECT_EQ(maxt.leafCount(), 0); |
| 860 |
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1 | EXPECT_EQ(maxt.activeTileCount(), 1); |
| 861 |
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1 | EXPECT_TRUE(mint.hasSameTopology(maxt)); |
| 862 | |||
| 863 |
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1 | EXPECT_TRUE(mint.isValueOn({0,0,0})); |
| 864 |
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1 | EXPECT_TRUE(maxt.isValueOn({0,0,0})); |
| 865 |
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1 | EXPECT_EQ(mint.getValue({0,0,0}), Vec3f(0.0f)); |
| 866 |
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1 | EXPECT_EQ(maxt.getValue({0,0,0}), Vec3f(1.0f, 0.5f, 0.3f)); |
| 867 | } | ||
| 868 | |||
| 869 | // Vector magnitudes as length sqr | ||
| 870 | |||
| 871 | { | ||
| 872 | using OpT = points::statistics_internal::MagnitudeExtent<Vec3f>; | ||
| 873 | |||
| 874 | 1 | OpT::ExtentT p; | |
| 875 | 2 | FloatTree mint, maxt; | |
| 876 | const bool success = points::statistics_internal::evalExtents | ||
| 877 | <Vec3f, points::NullCodec, points::NullFilter, OpT, points::PointDataTree> | ||
| 878 |
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2 | (points->tree(), "vectest", p, points::NullFilter(), &mint, &maxt); |
| 879 |
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1 | EXPECT_TRUE(success); |
| 880 |
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1 | EXPECT_EQ(p.first, 0.0f); |
| 881 |
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1 | EXPECT_EQ(p.second, Vec3f(1.0f,-0.5f,-0.2f).lengthSqr()); |
| 882 | |||
| 883 |
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1 | EXPECT_EQ(mint.leafCount(), 0); |
| 884 |
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1 | EXPECT_EQ(mint.activeTileCount(), 1); |
| 885 |
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1 | EXPECT_EQ(maxt.leafCount(), 0); |
| 886 |
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1 | EXPECT_EQ(maxt.activeTileCount(), 1); |
| 887 |
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1 | EXPECT_TRUE(mint.hasSameTopology(maxt)); |
| 888 | |||
| 889 |
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1 | EXPECT_TRUE(mint.isValueOn({0,0,0})); |
| 890 |
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1 | EXPECT_TRUE(maxt.isValueOn({0,0,0})); |
| 891 |
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2 | EXPECT_EQ(mint.getValue({0,0,0}), 0.0f); |
| 892 |
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2 | EXPECT_EQ(maxt.getValue({0,0,0}), Vec3f(1.0f,-0.5f,-0.2f).lengthSqr()); |
| 893 | } | ||
| 894 | |||
| 895 | // Vector magnitude as component values | ||
| 896 | |||
| 897 | { | ||
| 898 | using OpT = points::statistics_internal::MagnitudeExtent<Vec3f, false>; | ||
| 899 | |||
| 900 |
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6 | OpT::ExtentT p; |
| 901 | 2 | Vec3fTree mint, maxt; | |
| 902 | const bool success = points::statistics_internal::evalExtents | ||
| 903 | <Vec3f, points::NullCodec, points::NullFilter, OpT, points::PointDataTree> | ||
| 904 |
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2 | (points->tree(), "vectest", p, points::NullFilter(), &mint, &maxt); |
| 905 |
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1 | EXPECT_TRUE(success); |
| 906 |
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1 | EXPECT_EQ(p.first.x(), 0.0f); |
| 907 |
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1 | EXPECT_EQ(p.first.y(), 0.0f); |
| 908 |
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1 | EXPECT_EQ(p.first.z(), 0.0f); |
| 909 |
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1 | EXPECT_EQ(p.second.x(), 1.0f); |
| 910 |
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1 | EXPECT_EQ(p.second.y(),-0.5f); |
| 911 |
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1 | EXPECT_EQ(p.second.z(),-0.2f); |
| 912 | |||
| 913 |
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1 | EXPECT_EQ(mint.leafCount(), 0); |
| 914 |
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1 | EXPECT_EQ(mint.activeTileCount(), 1); |
| 915 |
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1 | EXPECT_EQ(maxt.leafCount(), 0); |
| 916 |
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1 | EXPECT_EQ(maxt.activeTileCount(), 1); |
| 917 |
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1 | EXPECT_TRUE(mint.hasSameTopology(maxt)); |
| 918 | |||
| 919 |
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1 | EXPECT_TRUE(mint.isValueOn({0,0,0})); |
| 920 |
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1 | EXPECT_TRUE(maxt.isValueOn({0,0,0})); |
| 921 |
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1 | EXPECT_EQ(mint.getValue({0,0,0}), Vec3f(0.0f)); |
| 922 |
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1 | EXPECT_EQ(maxt.getValue({0,0,0}), Vec3f(1.0f,-0.5f,-0.2f)); |
| 923 | } | ||
| 924 | |||
| 925 | } | ||
| 926 | 1 | } | |
| 927 |