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Differential D14382 Diff 49727 source/blender/blenlib/tests/BLI_length_parameterize_test.cc

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source/blender/blenlib/tests/BLI_length_parameterize_test.cc

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/* SPDX-License-Identifier: Apache-2.0 */
#include "BLI_array.hh"
#include "BLI_length_parameterize.hh"
#include "BLI_vector.hh"
#include "testing/testing.h"
namespace blender::length_parameterize::tests {
template<typename T> Array<float> calculate_lengths(const Span<T> values, const bool cyclic)
{
Array<float> lengths(lengths_num(values.size(), cyclic));
accumulate_lengths<T>(values, cyclic, lengths);
return lengths;
}
TEST(length_parameterize, FloatSimple)
{
Array<float> values{{0, 1, 4}};
Array<float> lengths = calculate_lengths(values.as_span(), false);
ResultSamples samples;
create_uniform_samples(lengths, false, 4, samples);
Array<float> results(4);
samples.interpolate_linear<float>(values, results);
Array<float> expected({
0.0f,
1.33333f,
2.66667f,
4.0f,
});
for (const int i : results.index_range()) {
EXPECT_NEAR(results[i], expected[i], 1e-5);
}
}
TEST(length_parameterize, Float)
{
Array<float> values{{1, 2, 3, 5, 10}};
Array<float> lengths = calculate_lengths(values.as_span(), false);
ResultSamples samples;
create_uniform_samples(lengths, false, 20, samples);
Array<float> results(20);
samples.interpolate_linear<float>(values, results);
Array<float> expected({
1.0f, 1.47368f, 1.94737f, 2.42105f, 2.89474f, 3.36842f, 3.84211f,
4.31579f, 4.78947f, 5.26316f, 5.73684f, 6.21053f, 6.68421f, 7.1579f,
7.63158f, 8.10526f, 8.57895f, 9.05263f, 9.52632f, 10.0f,
});
for (const int i : results.index_range()) {
EXPECT_NEAR(results[i], expected[i], 1e-5);
}
}
TEST(length_parameterize, Float2)
{
Array<float2> values{{{0, 0}, {1, 0}, {1, 1}, {0, 1}}};
Array<float> lengths = calculate_lengths(values.as_span(), false);
JacquesLuckeUnsubmitted
Done
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Would maybe be good to have an example where all segments have the same length. This doesn't really test if the code does actually creates uniform samples.

JacquesLucke: Would maybe be good to have an example where all segments have the same length. This doesn't…
HooglyBooglyAuthorUnsubmitted
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Good idea! It's implicitly tested in the "expected" values, but I added an explicit check for uniform lengths to a couple of them too. (the distances between consecutive sampled points in Cartesian space aren't necessarily uniform in the general case).

HooglyBoogly: Good idea! It's implicitly tested in the "expected" values, but I added an explicit check for…
ResultSamples samples;
create_uniform_samples(lengths, false, 12, samples);
Array<float2> results(12);
samples.interpolate_linear<float2>(values, results);
Array<float2> expected({
{0.0f, 0.0f},
{0.272727f, 0.0f},
{0.545455f, 0.0f},
{0.818182f, 0.0f},
{1.0f, 0.0909091f},
{1.0f, 0.363636f},
{1.0f, 0.636364f},
{1.0f, 0.909091f},
{0.818182f, 1.0f},
{0.545455f, 1.0f},
{0.272727f, 1.0f},
{0.0f, 1.0f},
});
for (const int i : results.index_range()) {
EXPECT_NEAR(results[i].x, expected[i].x, 1e-5);
EXPECT_NEAR(results[i].y, expected[i].y, 1e-5);
}
}
TEST(length_parameterize, Float2Cyclic)
{
Array<float2> values{{{0, 0}, {1, 0}, {1, 1}, {0, 1}}};
Array<float> lengths = calculate_lengths(values.as_span(), true);
ResultSamples samples;
create_uniform_samples(lengths, true, 12, samples);
Array<float2> results(12);
samples.interpolate_linear<float2>(values, results);
Array<float2> expected({
{0.0f, 0.0f},
{0.333333f, 0.0f},
{0.666667f, 0.0f},
{1.0f, 0.0f},
{1.0f, 0.333333f},
{1.0f, 0.666667f},
{1.0f, 1.0f},
{0.666667f, 1.0f},
{0.333333f, 1.0f},
{0.0f, 1.0f},
{0.0f, 0.666667f},
{0.0f, 0.333333f},
});
for (const int i : results.index_range()) {
EXPECT_NEAR(results[i].x, expected[i].x, 1e-5);
EXPECT_NEAR(results[i].y, expected[i].y, 1e-5);
}
}
TEST(length_parameterize, LineMany)
{
Array<float> values{{1, 2}};
Array<float> lengths = calculate_lengths(values.as_span(), false);
ResultSamples samples;
create_uniform_samples(lengths, false, 5007, samples);
Array<float> results(5007);
samples.interpolate_linear<float>(values, results);
Array<float> expected({
1.9962f, 1.9964f, 1.9966f, 1.9968f, 1.997f, 1.9972f, 1.9974f, 1.9976f, 1.9978f, 1.998f,
1.9982f, 1.9984f, 1.9986f, 1.9988f, 1.999f, 1.9992f, 1.9994f, 1.9996f, 1.9998f, 2.0f,
});
for (const int i : expected.index_range()) {
EXPECT_NEAR(results.as_span().take_back(20)[i], expected[i], 1e-5);
}
}
TEST(length_parameterize, CyclicMany)
{
Array<float2> values{{{0, 0}, {1, 0}, {1, 1}, {0, 1}}};
Array<float> lengths = calculate_lengths(values.as_span(), true);
ResultSamples samples;
create_uniform_samples(lengths, true, 5007, samples);
Array<float2> results(5007);
samples.interpolate_linear<float2>(values, results);
Array<float2> expected({
{0, 0.0159776}, {0, 0.0151787}, {0, 0.0143797}, {0, 0.013581}, {0, 0.0127821},
{0, 0.0119832}, {0, 0.0111842}, {0, 0.0103855}, {0, 0.00958657}, {0, 0.00878763},
{0, 0.00798869}, {0, 0.00718999}, {0, 0.00639105}, {0, 0.00559211}, {0, 0.00479317},
{0, 0.00399446}, {0, 0.00319552}, {0, 0.00239658}, {0, 0.00159764}, {0, 0.000798941},
});
for (const int i : expected.index_range()) {
EXPECT_NEAR(results.as_span().take_back(20)[i].x, expected[i].x, 1e-5);
EXPECT_NEAR(results.as_span().take_back(20)[i].y, expected[i].y, 1e-5);
}
}
TEST(length_parameterize, InterpolateColor)
{
Array<float2> values{{{0, 0}, {1, 0}, {1, 1}, {0, 1}}};
Array<float> lengths = calculate_lengths(values.as_span(), true);
Array<ColorGeometry4f> colors{{{0, 0, 0, 1}, {1, 0, 0, 1}, {1, 1, 0, 1}, {0, 1, 0, 1}}};
ResultSamples samples;
create_uniform_samples(lengths, true, 20, samples);
Array<ColorGeometry4f> results(20);
samples.interpolate_linear<ColorGeometry4f>(colors, results);
}
JacquesLuckeUnsubmitted
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Maybe test if the computed result is actually correct?

JacquesLucke: Maybe test if the computed result is actually correct?
HooglyBooglyAuthorUnsubmitted
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I added that as a "does this compile" test, but I might as well! :)

HooglyBoogly: I added that as a "does this compile" test, but I might as well! :)
} // namespace blender::length_parameterize::tests