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Instance tables refactor part 6: unwrap VectorData and ImageFrame from single-row to multi-row tables (#2684)

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* Start refactoring the boolean operations code

* Switch to iterators in the boolean operations code

* Make boolean operations work on rows of a table, not Vecs of single-row tables

* Remove more .transform()

* Simplify brush code

* Attempt to remove .transform() by using Instance<Image<Color>> in brush code, but a regression is introduced

* Improve blend_image_closure

* Simplify

* Remove leading underscore from type arguments

* Remove .transform() from ImageFrameTable<P> and fix Mask node behavior on stencils not fully overlapping its target image

* Remove more .one_instance_ref()

* Fully remove .one_instance_ref() and improve the 'Combine Channels' node robustness

* Fully remove .once_instance_mut()

* Fix tests

* Remove .one_empty_image()

* Make Instances<T>::default() return an empty table for images, but still not yet vector

---------

Co-authored-by: hypercube <0hypercube@gmail.com>
This commit is contained in:
Keavon Chambers
2025-06-04 20:40:15 -07:00
committed by GitHub
co-authored by hypercube
parent 76ecdc8f1b
commit cb4289169d
29 changed files with 882 additions and 811 deletions
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editor/src/messages/tool/tool_messages/brush_tool.rs
+6 -5
View File
@@ -276,15 +276,16 @@ impl BrushToolData {
let Some(reference) = document.network_interface.reference(&node_id, &[]) else {
continue;
};
if *reference == Some("Brush".to_string()) && node_id != layer.to_node() {
let points_input = node.inputs.get(2)?;
let Some(TaggedValue::BrushStrokes(strokes)) = points_input.as_value() else {
continue;
};
let points_input = node.inputs.get(1)?;
let Some(TaggedValue::BrushStrokes(strokes)) = points_input.as_value() else { continue };
self.strokes.clone_from(strokes);
return Some(layer);
} else if *reference == Some("Transform".to_string()) {
}
if *reference == Some("Transform".to_string()) {
let upstream = document.metadata().upstream_transform(node_id);
let pivot = DAffine2::from_translation(upstream.transform_point2(get_current_normalized_pivot(&node.inputs)));
self.transform = pivot * get_current_transform(&node.inputs) * pivot.inverse() * self.transform;