c1bc70b711
A lot of files were missing copyright field in the header and
the Blender Foundation contributed to them in a sense of bug
fixing and general maintenance.
This change makes it explicit that those files are at least
partially copyrighted by the Blender Foundation.
Note that this does not make it so the Blender Foundation is
the only holder of the copyright in those files, and developers
who do not have a signed contract with the foundation still
hold the copyright as well.
Another aspect of this change is using SPDX format for the
header. We already used it for the license specification,
and now we state it for the copyright as well, following the
FAQ:
https://reuse.software/faq/
484 lines
16 KiB
C++
484 lines
16 KiB
C++
/* SPDX-FileCopyrightText: 2023 Blender Foundation
|
|
*
|
|
* SPDX-License-Identifier: GPL-2.0-or-later */
|
|
|
|
/** \file
|
|
* \ingroup bke
|
|
*/
|
|
|
|
#include "BKE_curves.hh"
|
|
|
|
#include "testing/testing.h"
|
|
|
|
namespace blender::bke::tests {
|
|
|
|
static CurvesGeometry create_basic_curves(const int points_size, const int curves_size)
|
|
{
|
|
CurvesGeometry curves(points_size, curves_size);
|
|
|
|
const int curve_length = points_size / curves_size;
|
|
for (const int i : curves.curves_range()) {
|
|
curves.offsets_for_write()[i] = curve_length * i;
|
|
}
|
|
curves.offsets_for_write().last() = points_size;
|
|
|
|
for (const int i : curves.points_range()) {
|
|
curves.positions_for_write()[i] = {float(i), float(i % curve_length), 0.0f};
|
|
}
|
|
|
|
return curves;
|
|
}
|
|
|
|
TEST(curves_geometry, Empty)
|
|
{
|
|
CurvesGeometry empty(0, 0);
|
|
empty.cyclic();
|
|
float3 min;
|
|
float3 max;
|
|
EXPECT_FALSE(empty.bounds_min_max(min, max));
|
|
}
|
|
|
|
TEST(curves_geometry, Move)
|
|
{
|
|
CurvesGeometry curves = create_basic_curves(100, 10);
|
|
|
|
const int *offsets_data = curves.offsets().data();
|
|
const float3 *positions_data = curves.positions().data();
|
|
|
|
CurvesGeometry other = std::move(curves);
|
|
|
|
/* The old curves should be empty, and the offsets are expected to be null. */
|
|
EXPECT_EQ(curves.points_num(), 0); /* NOLINT: bugprone-use-after-move */
|
|
EXPECT_EQ(curves.curve_offsets, nullptr); /* NOLINT: bugprone-use-after-move */
|
|
|
|
/* Just a basic check that the new curves work okay. */
|
|
float3 min;
|
|
float3 max;
|
|
EXPECT_TRUE(other.bounds_min_max(min, max));
|
|
|
|
curves = std::move(other);
|
|
|
|
CurvesGeometry second_other(std::move(curves));
|
|
|
|
/* The data should not have been reallocated ever. */
|
|
EXPECT_EQ(second_other.positions().data(), positions_data);
|
|
EXPECT_EQ(second_other.offsets().data(), offsets_data);
|
|
}
|
|
|
|
TEST(curves_geometry, TypeCount)
|
|
{
|
|
CurvesGeometry curves = create_basic_curves(100, 10);
|
|
curves.curve_types_for_write().copy_from({
|
|
CURVE_TYPE_BEZIER,
|
|
CURVE_TYPE_NURBS,
|
|
CURVE_TYPE_NURBS,
|
|
CURVE_TYPE_NURBS,
|
|
CURVE_TYPE_CATMULL_ROM,
|
|
CURVE_TYPE_CATMULL_ROM,
|
|
CURVE_TYPE_CATMULL_ROM,
|
|
CURVE_TYPE_POLY,
|
|
CURVE_TYPE_POLY,
|
|
CURVE_TYPE_POLY,
|
|
});
|
|
curves.update_curve_types();
|
|
const std::array<int, CURVE_TYPES_NUM> &counts = curves.curve_type_counts();
|
|
EXPECT_EQ(counts[CURVE_TYPE_CATMULL_ROM], 3);
|
|
EXPECT_EQ(counts[CURVE_TYPE_POLY], 3);
|
|
EXPECT_EQ(counts[CURVE_TYPE_BEZIER], 1);
|
|
EXPECT_EQ(counts[CURVE_TYPE_NURBS], 3);
|
|
}
|
|
|
|
TEST(curves_geometry, CatmullRomEvaluation)
|
|
{
|
|
CurvesGeometry curves(4, 1);
|
|
curves.fill_curve_types(CURVE_TYPE_CATMULL_ROM);
|
|
curves.resolution_for_write().fill(12);
|
|
curves.offsets_for_write().last() = 4;
|
|
curves.cyclic_for_write().fill(false);
|
|
|
|
MutableSpan<float3> positions = curves.positions_for_write();
|
|
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_for_write().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.fill_curve_types(CURVE_TYPE_CATMULL_ROM);
|
|
curves.resolution_for_write().fill(12);
|
|
curves.offsets_for_write().last() = 2;
|
|
curves.cyclic_for_write().fill(true);
|
|
|
|
/* The curve should still be cyclic when there are only two control points. */
|
|
EXPECT_EQ(curves.evaluated_points_num(), 24);
|
|
}
|
|
|
|
TEST(curves_geometry, BezierPositionEvaluation)
|
|
{
|
|
CurvesGeometry curves(2, 1);
|
|
curves.fill_curve_types(CURVE_TYPE_BEZIER);
|
|
curves.resolution_for_write().fill(12);
|
|
curves.offsets_for_write().last() = 2;
|
|
|
|
MutableSpan<float3> handles_left = curves.handle_positions_left_for_write();
|
|
MutableSpan<float3> handles_right = curves.handle_positions_right_for_write();
|
|
MutableSpan<float3> positions = curves.positions_for_write();
|
|
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.fill_curve_types(CURVE_TYPE_BEZIER);
|
|
curves.resolution_for_write().fill(9);
|
|
curves.offsets_for_write().last() = 4;
|
|
handles_left = curves.handle_positions_left_for_write();
|
|
handles_right = curves.handle_positions_right_for_write();
|
|
positions = curves.positions_for_write();
|
|
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.fill_curve_types(CURVE_TYPE_NURBS);
|
|
curves.resolution_for_write().fill(10);
|
|
curves.offsets_for_write().last() = 4;
|
|
|
|
MutableSpan<float3> positions = curves.positions_for_write();
|
|
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_for_write().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_for_write().fill(1.0f);
|
|
curves.nurbs_weights_for_write()[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);
|
|
}
|
|
}
|
|
|
|
TEST(curves_geometry, BezierGenericEvaluation)
|
|
{
|
|
CurvesGeometry curves(3, 1);
|
|
curves.fill_curve_types(CURVE_TYPE_BEZIER);
|
|
curves.resolution_for_write().fill(8);
|
|
curves.offsets_for_write().last() = 3;
|
|
|
|
MutableSpan<float3> handles_left = curves.handle_positions_left_for_write();
|
|
MutableSpan<float3> handles_right = curves.handle_positions_right_for_write();
|
|
MutableSpan<float3> positions = curves.positions_for_write();
|
|
positions.first() = {-1, 0, 0};
|
|
handles_right.first() = {-1, 1, 0};
|
|
handles_left[1] = {0, 0, 0};
|
|
positions[1] = {1, 0, 0};
|
|
handles_right[1] = {2, 0, 0};
|
|
handles_left.last() = {1, 1, 0};
|
|
positions.last() = {2, 1, 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{{
|
|
{-1.0f, 0.0f, 0.0f},
|
|
{-0.955078f, 0.287109f, 0.0f},
|
|
{-0.828125f, 0.421875f, 0.0f},
|
|
{-0.630859f, 0.439453f, 0.0f},
|
|
{-0.375f, 0.375f, 0.0f},
|
|
{-0.0722656f, 0.263672f, 0.0f},
|
|
{0.265625f, 0.140625f, 0.0f},
|
|
{0.626953f, 0.0410156f, 0.0f},
|
|
{1.0f, 0.0f, 0.0f},
|
|
{1.28906f, 0.0429688f, 0.0f},
|
|
{1.4375f, 0.15625f, 0.0f},
|
|
{1.49219f, 0.316406f, 0.0f},
|
|
{1.5f, 0.5f, 0.0f},
|
|
{1.50781f, 0.683594f, 0.0f},
|
|
{1.5625f, 0.84375f, 0.0f},
|
|
{1.71094f, 0.957031f, 0.0f},
|
|
{2.0f, 1.0f, 0.0f},
|
|
}};
|
|
for (const int i : evaluated_positions.index_range()) {
|
|
EXPECT_V3_NEAR(evaluated_positions[i], result_1[i], 1e-5f);
|
|
}
|
|
|
|
Array<float> radii{{0.0f, 1.0f, 2.0f}};
|
|
Array<float> evaluated_radii(17);
|
|
curves.interpolate_to_evaluated(0, radii.as_span(), evaluated_radii.as_mutable_span());
|
|
static const Array<float> result_2{{
|
|
0.0f,
|
|
0.125f,
|
|
0.25f,
|
|
0.375f,
|
|
0.5f,
|
|
0.625f,
|
|
0.75f,
|
|
0.875f,
|
|
1.0f,
|
|
1.125f,
|
|
1.25f,
|
|
1.375f,
|
|
1.5f,
|
|
1.625f,
|
|
1.75f,
|
|
1.875f,
|
|
2.0f,
|
|
}};
|
|
for (const int i : evaluated_radii.index_range()) {
|
|
EXPECT_NEAR(evaluated_radii[i], result_2[i], 1e-6f);
|
|
}
|
|
}
|
|
|
|
} // namespace blender::bke::tests
|