The last point of the output was at the same location as the first point of a cyclic spline. The fix is simple, just account for the cyclic when choosing the sample edge length, and don't hard code the last sample.
344 lines
10 KiB
C++
344 lines
10 KiB
C++
/*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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*/
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#include "BLI_array.hh"
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#include "BLI_span.hh"
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#include "BLI_timeit.hh"
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#include "BKE_spline.hh"
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#include "FN_generic_virtual_array.hh"
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using blender::Array;
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using blender::float3;
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using blender::IndexRange;
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using blender::MutableSpan;
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using blender::Span;
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Spline::Type Spline::type() const
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{
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return type_;
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}
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void Spline::translate(const blender::float3 &translation)
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{
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for (float3 &position : this->positions()) {
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position += translation;
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}
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this->mark_cache_invalid();
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}
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void Spline::transform(const blender::float4x4 &matrix)
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{
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for (float3 &position : this->positions()) {
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position = matrix * position;
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}
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this->mark_cache_invalid();
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}
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int Spline::evaluated_edges_size() const
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{
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const int eval_size = this->evaluated_points_size();
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if (eval_size == 1) {
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return 0;
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}
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return this->is_cyclic_ ? eval_size : eval_size - 1;
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}
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float Spline::length() const
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{
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Span<float> lengths = this->evaluated_lengths();
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return (lengths.size() == 0) ? 0 : this->evaluated_lengths().last();
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}
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int Spline::segments_size() const
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{
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const int points_len = this->size();
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return is_cyclic_ ? points_len : points_len - 1;
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}
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bool Spline::is_cyclic() const
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{
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return is_cyclic_;
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}
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void Spline::set_cyclic(const bool value)
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{
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is_cyclic_ = value;
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}
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static void accumulate_lengths(Span<float3> positions,
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const bool is_cyclic,
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MutableSpan<float> lengths)
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{
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float length = 0.0f;
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for (const int i : IndexRange(positions.size() - 1)) {
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length += float3::distance(positions[i], positions[i + 1]);
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lengths[i] = length;
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}
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if (is_cyclic) {
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lengths.last() = length + float3::distance(positions.last(), positions.first());
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}
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}
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/**
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* Return non-owning access to the cache of accumulated lengths along the spline. Each item is the
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* length of the subsequent segment, i.e. the first value is the length of the first segment rather
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* than 0. This calculation is rather trivial, and only depends on the evaluated positions.
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* However, the results are used often, so it makes sense to cache it.
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*/
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Span<float> Spline::evaluated_lengths() const
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{
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if (!length_cache_dirty_) {
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return evaluated_lengths_cache_;
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}
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std::lock_guard lock{length_cache_mutex_};
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if (!length_cache_dirty_) {
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return evaluated_lengths_cache_;
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}
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const int total = evaluated_edges_size();
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evaluated_lengths_cache_.resize(total);
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Span<float3> positions = this->evaluated_positions();
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accumulate_lengths(positions, is_cyclic_, evaluated_lengths_cache_);
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length_cache_dirty_ = false;
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return evaluated_lengths_cache_;
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}
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static float3 direction_bisect(const float3 &prev, const float3 &middle, const float3 &next)
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{
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const float3 dir_prev = (middle - prev).normalized();
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const float3 dir_next = (next - middle).normalized();
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return (dir_prev + dir_next).normalized();
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}
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static void calculate_tangents(Span<float3> positions,
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const bool is_cyclic,
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MutableSpan<float3> tangents)
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{
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if (positions.size() == 1) {
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return;
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}
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for (const int i : IndexRange(1, positions.size() - 2)) {
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tangents[i] = direction_bisect(positions[i - 1], positions[i], positions[i + 1]);
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}
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if (is_cyclic) {
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const float3 &second_to_last = positions[positions.size() - 2];
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const float3 &last = positions.last();
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const float3 &first = positions.first();
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const float3 &second = positions[1];
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tangents.first() = direction_bisect(last, first, second);
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tangents.last() = direction_bisect(second_to_last, last, first);
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}
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else {
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tangents.first() = (positions[1] - positions[0]).normalized();
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tangents.last() = (positions.last() - positions[positions.size() - 2]).normalized();
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}
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}
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/**
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* Return non-owning access to the direction of the curve at each evaluated point.
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*/
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Span<float3> Spline::evaluated_tangents() const
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{
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if (!tangent_cache_dirty_) {
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return evaluated_tangents_cache_;
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}
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std::lock_guard lock{tangent_cache_mutex_};
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if (!tangent_cache_dirty_) {
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return evaluated_tangents_cache_;
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}
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const int eval_size = this->evaluated_points_size();
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evaluated_tangents_cache_.resize(eval_size);
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Span<float3> positions = this->evaluated_positions();
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if (eval_size == 1) {
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evaluated_tangents_cache_.first() = float3(1.0f, 0.0f, 0.0f);
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}
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else {
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calculate_tangents(positions, is_cyclic_, evaluated_tangents_cache_);
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this->correct_end_tangents();
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}
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tangent_cache_dirty_ = false;
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return evaluated_tangents_cache_;
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}
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static float3 rotate_direction_around_axis(const float3 &direction,
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const float3 &axis,
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const float angle)
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{
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BLI_ASSERT_UNIT_V3(direction);
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BLI_ASSERT_UNIT_V3(axis);
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const float3 axis_scaled = axis * float3::dot(direction, axis);
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const float3 diff = direction - axis_scaled;
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const float3 cross = float3::cross(axis, diff);
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return axis_scaled + diff * std::cos(angle) + cross * std::sin(angle);
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}
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static void calculate_normals_z_up(Span<float3> tangents, MutableSpan<float3> normals)
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{
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for (const int i : normals.index_range()) {
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normals[i] = float3::cross(tangents[i], float3(0.0f, 0.0f, 1.0f)).normalized();
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}
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}
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/**
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* Return non-owning access to the direction vectors perpendicular to the tangents at every
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* evaluated point. The method used to generate the normal vectors depends on Spline.normal_mode.
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*/
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Span<float3> Spline::evaluated_normals() const
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{
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if (!normal_cache_dirty_) {
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return evaluated_normals_cache_;
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}
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std::lock_guard lock{normal_cache_mutex_};
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if (!normal_cache_dirty_) {
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return evaluated_normals_cache_;
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}
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const int eval_size = this->evaluated_points_size();
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evaluated_normals_cache_.resize(eval_size);
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Span<float3> tangents = evaluated_tangents();
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MutableSpan<float3> normals = evaluated_normals_cache_;
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/* Only Z up normals are supported at the moment. */
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calculate_normals_z_up(tangents, normals);
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/* Rotate the generated normals with the interpolated tilt data. */
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blender::fn::GVArray_Typed<float> tilts{
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this->interpolate_to_evaluated_points(blender::fn::GVArray_For_Span(this->tilts()))};
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for (const int i : normals.index_range()) {
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normals[i] = rotate_direction_around_axis(normals[i], tangents[i], tilts[i]);
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}
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normal_cache_dirty_ = false;
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return evaluated_normals_cache_;
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}
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Spline::LookupResult Spline::lookup_evaluated_factor(const float factor) const
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{
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return this->lookup_evaluated_length(this->length() * factor);
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}
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/**
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* \note This does not support extrapolation currently.
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*/
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Spline::LookupResult Spline::lookup_evaluated_length(const float length) const
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{
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BLI_assert(length >= 0.0f && length <= this->length());
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Span<float> lengths = this->evaluated_lengths();
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const float *offset = std::lower_bound(lengths.begin(), lengths.end(), length);
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const int index = offset - lengths.begin();
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const int next_index = (index == this->size() - 1) ? 0 : index + 1;
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const float previous_length = (index == 0) ? 0.0f : lengths[index - 1];
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const float factor = (length - previous_length) / (lengths[index] - previous_length);
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return LookupResult{index, next_index, factor};
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}
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/**
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* Return an array of evenly spaced samples along the length of the spline. The samples are indices
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* and factors to the next index encoded in floats. The logic for converting from the float values
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* to interpolation data is in #lookup_data_from_index_factor.
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*/
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Array<float> Spline::sample_uniform_index_factors(const int samples_size) const
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{
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const Span<float> lengths = this->evaluated_lengths();
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BLI_assert(samples_size > 0);
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Array<float> samples(samples_size);
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samples[0] = 0.0f;
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if (samples_size == 1) {
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return samples;
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}
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const float total_length = this->length();
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const float sample_length = total_length / (samples_size - (is_cyclic_ ? 0 : 1));
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/* Store the length at the previous evaluated point in a variable so it can
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* start out at zero (the lengths array doesn't contain 0 for the first point). */
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float prev_length = 0.0f;
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int i_sample = 1;
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for (const int i_evaluated : IndexRange(this->evaluated_edges_size())) {
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const float length = lengths[i_evaluated];
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/* Add every sample that fits in this evaluated edge. */
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while ((sample_length * i_sample) < length && i_sample < samples_size) {
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const float factor = (sample_length * i_sample - prev_length) / (length - prev_length);
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samples[i_sample] = i_evaluated + factor;
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i_sample++;
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}
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prev_length = length;
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}
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if (!is_cyclic_) {
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/* In rare cases this can prevent overflow of the stored index. */
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samples.last() = lengths.size();
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}
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return samples;
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}
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Spline::LookupResult Spline::lookup_data_from_index_factor(const float index_factor) const
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{
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const int points_len = this->evaluated_points_size();
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if (is_cyclic_) {
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if (index_factor < points_len) {
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const int index = std::floor(index_factor);
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const int next_index = (index < points_len - 1) ? index + 1 : 0;
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return LookupResult{index, next_index, index_factor - index};
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}
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return LookupResult{points_len - 1, 0, 1.0f};
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}
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if (index_factor < points_len - 1) {
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const int index = std::floor(index_factor);
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const int next_index = index + 1;
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return LookupResult{index, next_index, index_factor - index};
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}
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return LookupResult{points_len - 2, points_len - 1, 1.0f};
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}
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void Spline::bounds_min_max(float3 &min, float3 &max, const bool use_evaluated) const
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{
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Span<float3> positions = use_evaluated ? this->evaluated_positions() : this->positions();
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for (const float3 &position : positions) {
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minmax_v3v3_v3(min, max, position);
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}
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}
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