Page MenuHome
Differential D14284 Diff 49351 source/blender/blenkernel/intern/curves_geometry_test.cc

Changeset View

Standalone View

View Options

source/blender/blenkernel/intern/curves_geometry_test.cc

Show First 20 Lines • Show All 57 Lines • ▼ Show 20 LinesTEST(curves_geometry, Move)
CurvesGeometry second_other(std::move(curves)); CurvesGeometry second_other(std::move(curves));
/* The data should not have been reallocated ever. */ /* The data should not have been reallocated ever. */
EXPECT_EQ(second_other.positions().data(), positions_data); EXPECT_EQ(second_other.positions().data(), positions_data);
EXPECT_EQ(second_other.offsets().data(), offsets_data); EXPECT_EQ(second_other.offsets().data(), offsets_data);
} }
TEST(curves_geometry, CatmullRomEvaluation)
{
CurvesGeometry curves(4, 1);
curves.curve_types().fill(CURVE_TYPE_CATMULL_ROM);
curves.resolution().fill(12);
curves.offsets().last() = 4;
curves.cyclic().fill(false);
MutableSpan<float3> positions = curves.positions();
positions[0] = {1, 1, 0};
positions[1] = {0, 1, 0};
positions[2] = {0, 0, 0};
positions[3] = {-1, 0, 0};
Span<float3> evaluated_positions = curves.evaluated_positions();
static const Array<float3> result_1{{
{1, 1, 0},
{0.948495, 1.00318, 0},
{0.87963, 1.01157, 0},
{0.796875, 1.02344, 0},
{0.703704, 1.03704, 0},
{0.603588, 1.05064, 0},
{0.5, 1.0625, 0},
{0.396412, 1.07089, 0},
{0.296296, 1.07407, 0},
{0.203125, 1.07031, 0},
{0.12037, 1.05787, 0},
{0.0515046, 1.03501, 0},
{0, 1, 0},
{-0.0318287, 0.948495, 0},
{-0.0462963, 0.87963, 0},
{-0.046875, 0.796875, 0},
{-0.037037, 0.703704, 0},
{-0.0202546, 0.603588, 0},
{0, 0.5, 0},
{0.0202546, 0.396412, 0},
{0.037037, 0.296296, 0},
{0.046875, 0.203125, 0},
{0.0462963, 0.12037, 0},
{0.0318287, 0.0515046, 0},
{0, 0, 0},
{-0.0515046, -0.0350116, 0},
{-0.12037, -0.0578704, 0},
{-0.203125, -0.0703125, 0},
{-0.296296, -0.0740741, 0},
{-0.396412, -0.0708912, 0},
{-0.5, -0.0625, 0},
{-0.603588, -0.0506366, 0},
{-0.703704, -0.037037, 0},
{-0.796875, -0.0234375, 0},
{-0.87963, -0.0115741, 0},
{-0.948495, -0.00318287, 0},
{-1, 0, 0},
}};
for (const int i : evaluated_positions.index_range()) {
EXPECT_V3_NEAR(evaluated_positions[i], result_1[i], 1e-5f);
}
/* Changing the positions shouldn't cause the evaluated positions array to be reallocated. */
curves.tag_positions_changed();
curves.evaluated_positions();
EXPECT_EQ(curves.evaluated_positions().data(), evaluated_positions.data());
/* Call recalculation (which shouldn't happen because low-level accessors don't tag caches). */
EXPECT_EQ(evaluated_positions[12].x, 0.0f);
EXPECT_EQ(evaluated_positions[12].y, 1.0f);
positions[0] = {1, 0, 0};
positions[1] = {1, 1, 0};
positions[2] = {0, 1, 0};
positions[3] = {0, 0, 0};
curves.cyclic().fill(true);
/* Tag topology changed because the new cyclic value is different. */
curves.tag_topology_changed();
/* Retrieve the data again since the size should be larger than last time (one more segment). */
evaluated_positions = curves.evaluated_positions();
static const Array<float3> result_2{{
{1, 0, 0},
{1.03819, 0.0515046, 0},
{1.06944, 0.12037, 0},
{1.09375, 0.203125, 0},
{1.11111, 0.296296, 0},
{1.12153, 0.396412, 0},
{1.125, 0.5, 0},
{1.12153, 0.603588, 0},
{1.11111, 0.703704, 0},
{1.09375, 0.796875, 0},
{1.06944, 0.87963, 0},
{1.03819, 0.948495, 0},
{1, 1, 0},
{0.948495, 1.03819, 0},
{0.87963, 1.06944, 0},
{0.796875, 1.09375, 0},
{0.703704, 1.11111, 0},
{0.603588, 1.12153, 0},
{0.5, 1.125, 0},
{0.396412, 1.12153, 0},
{0.296296, 1.11111, 0},
{0.203125, 1.09375, 0},
{0.12037, 1.06944, 0},
{0.0515046, 1.03819, 0},
{0, 1, 0},
{-0.0381944, 0.948495, 0},
{-0.0694444, 0.87963, 0},
{-0.09375, 0.796875, 0},
{-0.111111, 0.703704, 0},
{-0.121528, 0.603588, 0},
{-0.125, 0.5, 0},
{-0.121528, 0.396412, 0},
{-0.111111, 0.296296, 0},
{-0.09375, 0.203125, 0},
{-0.0694444, 0.12037, 0},
{-0.0381944, 0.0515046, 0},
{0, 0, 0},
{0.0515046, -0.0381944, 0},
{0.12037, -0.0694444, 0},
{0.203125, -0.09375, 0},
{0.296296, -0.111111, 0},
{0.396412, -0.121528, 0},
{0.5, -0.125, 0},
{0.603588, -0.121528, 0},
{0.703704, -0.111111, 0},
{0.796875, -0.09375, 0},
{0.87963, -0.0694444, 0},
{0.948495, -0.0381944, 0},
}};
for (const int i : evaluated_positions.index_range()) {
EXPECT_V3_NEAR(evaluated_positions[i], result_2[i], 1e-5f);
}
}
TEST(curves_geometry, CatmullRomTwoPointCyclic)
{
CurvesGeometry curves(2, 1);
curves.curve_types().fill(CURVE_TYPE_CATMULL_ROM);
curves.resolution().fill(12);
curves.offsets().last() = 2;
curves.cyclic().fill(true);
/* The cyclic value should be ignored when there are only two control points. There should
* be 12 evaluated points for the single segment and an extra for the last point. */
EXPECT_EQ(curves.evaluated_points_size(), 13);
}
TEST(curves_geometry, BezierPositionEvaluation)
{
CurvesGeometry curves(2, 1);
curves.curve_types().fill(CURVE_TYPE_BEZIER);
curves.resolution().fill(12);
curves.offsets().last() = 2;
MutableSpan<float3> handles_left = curves.handle_positions_left();
MutableSpan<float3> handles_right = curves.handle_positions_right();
MutableSpan<float3> positions = curves.positions();
positions.first() = {-1, 0, 0};
positions.last() = {1, 0, 0};
handles_right.first() = {-0.5f, 0.5f, 0.0f};
handles_left.last() = {0, 0, 0};
/* Dangling handles shouldn't be used in a non-cyclic curve. */
handles_left.first() = {100, 100, 100};
handles_right.last() = {100, 100, 100};
Span<float3> evaluated_positions = curves.evaluated_positions();
static const Array<float3> result_1{{
{-1, 0, 0},
{-0.874711, 0.105035, 0},
{-0.747685, 0.173611, 0},
{-0.617188, 0.210937, 0},
{-0.481481, 0.222222, 0},
{-0.338831, 0.212674, 0},
{-0.1875, 0.1875, 0},
{-0.0257524, 0.15191, 0},
{0.148148, 0.111111, 0},
{0.335937, 0.0703125, 0},
{0.539352, 0.0347222, 0},
{0.760127, 0.00954859, 0},
{1, 0, 0},
}};
for (const int i : evaluated_positions.index_range()) {
EXPECT_V3_NEAR(evaluated_positions[i], result_1[i], 1e-5f);
}
curves.resize(4, 2);
curves.curve_types().fill(CURVE_TYPE_BEZIER);
curves.resolution().fill(9);
curves.offsets().last() = 4;
handles_left = curves.handle_positions_left();
handles_right = curves.handle_positions_right();
positions = curves.positions();
positions[2] = {-1, 1, 0};
positions[3] = {1, 1, 0};
handles_right[2] = {-0.5f, 1.5f, 0.0f};
handles_left[3] = {0, 1, 0};
/* Dangling handles shouldn't be used in a non-cyclic curve. */
handles_left[2] = {-100, -100, -100};
handles_right[3] = {-100, -100, -100};
evaluated_positions = curves.evaluated_positions();
EXPECT_EQ(evaluated_positions.size(), 20);
static const Array<float3> result_2{{
{-1, 0, 0},
{-0.832647, 0.131687, 0},
{-0.66118, 0.201646, 0},
{-0.481481, 0.222222, 0},
{-0.289438, 0.205761, 0},
{-0.0809327, 0.164609, 0},
{0.148148, 0.111111, 0},
{0.40192, 0.0576133, 0},
{0.684499, 0.016461, 0},
{1, 0, 0},
{-1, 1, 0},
{-0.832647, 1.13169, 0},
{-0.66118, 1.20165, 0},
{-0.481481, 1.22222, 0},
{-0.289438, 1.20576, 0},
{-0.0809327, 1.16461, 0},
{0.148148, 1.11111, 0},
{0.40192, 1.05761, 0},
{0.684499, 1.01646, 0},
{1, 1, 0},
}};
for (const int i : evaluated_positions.index_range()) {
EXPECT_V3_NEAR(evaluated_positions[i], result_2[i], 1e-5f);
}
}
TEST(curves_geometry, NURBSEvaluation)
{
CurvesGeometry curves(4, 1);
curves.curve_types().fill(CURVE_TYPE_NURBS);
curves.resolution().fill(10);
curves.offsets().last() = 4;
MutableSpan<float3> positions = curves.positions();
positions[0] = {1, 1, 0};
positions[1] = {0, 1, 0};
positions[2] = {0, 0, 0};
positions[3] = {-1, 0, 0};
Span<float3> evaluated_positions = curves.evaluated_positions();
static const Array<float3> result_1{{
{0.166667, 0.833333, 0}, {0.150006, 0.815511, 0}, {0.134453, 0.796582, 0},
{0.119924, 0.776627, 0}, {0.106339, 0.75573, 0}, {0.0936146, 0.733972, 0},
{0.0816693, 0.711434, 0}, {0.0704211, 0.6882, 0}, {0.0597879, 0.66435, 0},
{0.0496877, 0.639968, 0}, {0.0400385, 0.615134, 0}, {0.0307584, 0.589931, 0},
{0.0217653, 0.564442, 0}, {0.0129772, 0.538747, 0}, {0.00431208, 0.512929, 0},
{-0.00431208, 0.487071, 0}, {-0.0129772, 0.461253, 0}, {-0.0217653, 0.435558, 0},
{-0.0307584, 0.410069, 0}, {-0.0400385, 0.384866, 0}, {-0.0496877, 0.360032, 0},
{-0.0597878, 0.33565, 0}, {-0.0704211, 0.3118, 0}, {-0.0816693, 0.288566, 0},
{-0.0936146, 0.266028, 0}, {-0.106339, 0.24427, 0}, {-0.119924, 0.223373, 0},
{-0.134453, 0.203418, 0}, {-0.150006, 0.184489, 0}, {-0.166667, 0.166667, 0},
}};
for (const int i : evaluated_positions.index_range()) {
EXPECT_V3_NEAR(evaluated_positions[i], result_1[i], 1e-5f);
}
/* Test a cyclic curve. */
curves.cyclic().fill(true);
curves.tag_topology_changed();
evaluated_positions = curves.evaluated_positions();
static const Array<float3> result_2{{
{0.166667, 0.833333, 0}, {0.121333, 0.778667, 0},
{0.084, 0.716, 0}, {0.0526667, 0.647333, 0},
{0.0253333, 0.574667, 0}, {0, 0.5, 0},
{-0.0253333, 0.425333, 0}, {-0.0526667, 0.352667, 0},
{-0.084, 0.284, 0}, {-0.121333, 0.221333, 0},
{-0.166667, 0.166667, 0}, {-0.221, 0.121667, 0},
{-0.281333, 0.0866667, 0}, {-0.343667, 0.0616666, 0},
{-0.404, 0.0466667, 0}, {-0.458333, 0.0416667, 0},
{-0.502667, 0.0466667, 0}, {-0.533, 0.0616666, 0},
{-0.545333, 0.0866667, 0}, {-0.535667, 0.121667, 0},
{-0.5, 0.166667, 0}, {-0.436, 0.221334, 0},
{-0.348, 0.284, 0}, {-0.242, 0.352667, 0},
{-0.124, 0.425333, 0}, {0, 0.5, 0},
{0.124, 0.574667, 0}, {0.242, 0.647333, 0},
{0.348, 0.716, 0}, {0.436, 0.778667, 0},
{0.5, 0.833333, 0}, {0.535667, 0.878334, 0},
{0.545333, 0.913333, 0}, {0.533, 0.938333, 0},
{0.502667, 0.953333, 0}, {0.458333, 0.958333, 0},
{0.404, 0.953333, 0}, {0.343667, 0.938333, 0},
{0.281333, 0.913333, 0}, {0.221, 0.878333, 0},
}};
for (const int i : evaluated_positions.index_range()) {
EXPECT_V3_NEAR(evaluated_positions[i], result_2[i], 1e-5f);
}
/* Test a circular cyclic curve with weights. */
positions[0] = {1, 0, 0};
positions[1] = {1, 1, 0};
positions[2] = {0, 1, 0};
positions[3] = {0, 0, 0};
curves.nurbs_weights().fill(1.0f);
curves.nurbs_weights()[0] = 4.0f;
curves.tag_positions_changed();
static const Array<float3> result_3{{
{0.888889, 0.555556, 0}, {0.837792, 0.643703, 0}, {0.773885, 0.727176, 0},
{0.698961, 0.800967, 0}, {0.616125, 0.860409, 0}, {0.529412, 0.901961, 0},
{0.443152, 0.923773, 0}, {0.361289, 0.925835, 0}, {0.286853, 0.909695, 0},
{0.221722, 0.877894, 0}, {0.166667, 0.833333, 0}, {0.122106, 0.778278, 0},
{0.0903055, 0.713148, 0}, {0.0741654, 0.638711, 0}, {0.0762274, 0.556847, 0},
{0.0980392, 0.470588, 0}, {0.139591, 0.383875, 0}, {0.199032, 0.301039, 0},
{0.272824, 0.226114, 0}, {0.356297, 0.162208, 0}, {0.444444, 0.111111, 0},
{0.531911, 0.0731388, 0}, {0.612554, 0.0468976, 0}, {0.683378, 0.0301622, 0},
{0.74391, 0.0207962, 0}, {0.794872, 0.017094, 0}, {0.837411, 0.017839, 0},
{0.872706, 0.0222583, 0}, {0.901798, 0.0299677, 0}, {0.925515, 0.0409445, 0},
{0.944444, 0.0555556, 0}, {0.959056, 0.0744855, 0}, {0.970032, 0.0982019, 0},
{0.977742, 0.127294, 0}, {0.982161, 0.162589, 0}, {0.982906, 0.205128, 0},
{0.979204, 0.256091, 0}, {0.969838, 0.316622, 0}, {0.953102, 0.387446, 0},
{0.926861, 0.468089, 0},
}};
evaluated_positions = curves.evaluated_positions();
for (const int i : evaluated_positions.index_range()) {
EXPECT_V3_NEAR(evaluated_positions[i], result_3[i], 1e-5f);
}
}
} // namespace blender::bke::tests } // namespace blender::bke::tests