Cleanup: Rename length parameterization interpolation function

The name makes more sense as an action, other interpolation
methods besides linear probably don't make sense here anyway.
This commit is contained in:
Hans Goudey 2022-07-21 08:15:06 -05:00
parent 95ab16004d
commit 63be57307e
4 changed files with 18 additions and 18 deletions

View File

@ -42,10 +42,10 @@ void accumulate_lengths(const Span<T> values, const bool cyclic, MutableSpan<flo
}
template<typename T>
inline void linear_interpolation(const Span<T> src,
const Span<int> indices,
const Span<float> factors,
MutableSpan<T> dst)
inline void interpolate(const Span<T> src,
const Span<int> indices,
const Span<float> factors,
MutableSpan<T> dst)
{
BLI_assert(indices.size() == factors.size());
BLI_assert(indices.size() == dst.size());

View File

@ -366,7 +366,7 @@ void move_last_point_and_resample(MutableSpan<float3> positions, const float3 &n
length_parameterize::sample_at_lengths(orig_lengths, new_lengths, indices, factors);
Array<float3> new_positions(positions.size() - 1);
length_parameterize::linear_interpolation<float3>(positions, indices, factors, new_positions);
length_parameterize::interpolate<float3>(positions, indices, factors, new_positions);
positions.drop_back(1).copy_from(new_positions);
positions.last() = new_last_position;
}

View File

@ -127,7 +127,7 @@ class ShrinkCurvesEffect : public CurvesEffect {
lp::sample_at_lengths(data.old_lengths, data.sample_lengths, data.indices, data.factors);
lp::linear_interpolation<float3>(data.old_positions, data.indices, data.factors, positions);
lp::interpolate<float3>(data.old_positions, data.indices, data.factors, positions);
}
};

View File

@ -252,10 +252,10 @@ static Curves *resample_to_uniform(const CurveComponent &src_component,
const IndexRange dst_points = dst_curves.points_for_curve(i_curve);
if (curve_types[i_curve] == CURVE_TYPE_POLY) {
length_parameterize::linear_interpolation(src.slice(src_points),
sample_indices.as_span().slice(dst_points),
sample_factors.as_span().slice(dst_points),
dst.slice(dst_points));
length_parameterize::interpolate(src.slice(src_points),
sample_indices.as_span().slice(dst_points),
sample_factors.as_span().slice(dst_points),
dst.slice(dst_points));
}
else {
const int evaluated_size = src_curves.evaluated_points_for_curve(i_curve).size();
@ -264,10 +264,10 @@ static Curves *resample_to_uniform(const CurveComponent &src_component,
MutableSpan<T> evaluated = evaluated_buffer.as_mutable_span().cast<T>();
src_curves.interpolate_to_evaluated(i_curve, src.slice(src_points), evaluated);
length_parameterize::linear_interpolation(evaluated.as_span(),
sample_indices.as_span().slice(dst_points),
sample_factors.as_span().slice(dst_points),
dst.slice(dst_points));
length_parameterize::interpolate(evaluated.as_span(),
sample_indices.as_span().slice(dst_points),
sample_factors.as_span().slice(dst_points),
dst.slice(dst_points));
}
}
});
@ -277,10 +277,10 @@ static Curves *resample_to_uniform(const CurveComponent &src_component,
for (const int i_curve : sliced_selection) {
const IndexRange src_points = src_curves.evaluated_points_for_curve(i_curve);
const IndexRange dst_points = dst_curves.points_for_curve(i_curve);
length_parameterize::linear_interpolation(evaluated_positions.slice(src_points),
sample_indices.as_span().slice(dst_points),
sample_factors.as_span().slice(dst_points),
dst_positions.slice(dst_points));
length_parameterize::interpolate(evaluated_positions.slice(src_points),
sample_indices.as_span().slice(dst_points),
sample_factors.as_span().slice(dst_points),
dst_positions.slice(dst_points));
}
/* Fill the default value for non-interpolating attributes that still must be copied. */