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Make noise generation resolution aware (#1909)
* Make noise generation resolution aware * Invert "Scale" so it's not "Frequency"; make "Clipping" 100x100 not 1x1 --------- Co-authored-by: Keavon Chambers <keavon@keavon.com>
This commit is contained in:
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0dfddd529b
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c5dde18fd6
5 changed files with 67 additions and 81 deletions
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@ -776,48 +776,10 @@ fn static_nodes() -> Vec<DocumentNodeDefinition> {
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identifier: "Noise Pattern",
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node_template: NodeTemplate {
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document_node: DocumentNode {
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implementation: DocumentNodeImplementation::Network(NodeNetwork {
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exports: vec![NodeInput::node(NodeId(1), 0)],
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nodes: vec![
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DocumentNode {
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inputs: vec![
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NodeInput::network(concrete!(()), 0),
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NodeInput::network(concrete!(UVec2), 1),
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NodeInput::network(concrete!(u32), 2),
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NodeInput::network(concrete!(f64), 3),
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NodeInput::network(concrete!(graphene_core::raster::NoiseType), 4),
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NodeInput::network(concrete!(graphene_core::raster::FractalType), 5),
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NodeInput::network(concrete!(f64), 6),
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NodeInput::network(concrete!(graphene_core::raster::FractalType), 7),
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NodeInput::network(concrete!(u32), 8),
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NodeInput::network(concrete!(f64), 9),
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NodeInput::network(concrete!(f64), 10),
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NodeInput::network(concrete!(f64), 11),
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NodeInput::network(concrete!(f64), 12),
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NodeInput::network(concrete!(graphene_core::raster::CellularDistanceFunction), 13),
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NodeInput::network(concrete!(graphene_core::raster::CellularReturnType), 14),
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NodeInput::network(concrete!(f64), 15),
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],
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implementation: DocumentNodeImplementation::ProtoNode(ProtoNodeIdentifier::new("graphene_std::raster::NoisePatternNode<_, _, _, _, _, _, _, _, _, _, _, _, _, _, _>")),
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..Default::default()
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},
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// TODO: Make noise pattern node resolution aware and remove the cull node
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DocumentNode {
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inputs: vec![NodeInput::node(NodeId(0), 0)],
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implementation: DocumentNodeImplementation::ProtoNode(ProtoNodeIdentifier::new("graphene_core::transform::CullNode<_>")),
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manual_composition: Some(concrete!(Footprint)),
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..Default::default()
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},
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]
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.into_iter()
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.enumerate()
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.map(|(id, node)| (NodeId(id as u64), node))
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.collect(),
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..Default::default()
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}),
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implementation: DocumentNodeImplementation::ProtoNode(ProtoNodeIdentifier::new("graphene_std::raster::NoisePatternNode<_, _, _, _, _, _, _, _, _, _, _, _, _, _, _>")),
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inputs: vec![
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NodeInput::value(TaggedValue::None, false),
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NodeInput::value(TaggedValue::UVec2((512, 512).into()), false),
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NodeInput::value(TaggedValue::Bool(true), false),
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NodeInput::value(TaggedValue::U32(0), false),
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NodeInput::value(TaggedValue::F64(10.), false),
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NodeInput::value(TaggedValue::NoiseType(NoiseType::default()), false),
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@ -837,8 +799,7 @@ fn static_nodes() -> Vec<DocumentNodeDefinition> {
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},
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persistent_node_metadata: DocumentNodePersistentMetadata {
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input_names: vec![
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"None".to_string(),
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"Dimensions".to_string(),
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"Clip".to_string(),
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"Seed".to_string(),
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"Scale".to_string(),
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"Noise Type".to_string(),
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@ -945,15 +945,15 @@ pub fn extract_channel_properties(document_node: &DocumentNode, node_id: NodeId,
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// As soon as there are more types of noise, this should be uncommented.
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pub fn noise_pattern_properties(document_node: &DocumentNode, node_id: NodeId, _context: &mut NodePropertiesContext) -> Vec<LayoutGroup> {
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// Get the current values of the inputs of interest so they can set whether certain inputs are disabled based on various conditions.
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let current_noise_type = match &document_node.inputs[4].as_value() {
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let current_noise_type = match &document_node.inputs[3].as_value() {
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Some(&TaggedValue::NoiseType(noise_type)) => Some(noise_type),
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_ => None,
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};
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let current_domain_warp_type = match &document_node.inputs[5].as_value() {
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let current_domain_warp_type = match &document_node.inputs[4].as_value() {
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Some(&TaggedValue::DomainWarpType(domain_warp_type)) => Some(domain_warp_type),
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_ => None,
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};
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let current_fractal_type = match &document_node.inputs[7].as_value() {
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let current_fractal_type = match &document_node.inputs[6].as_value() {
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Some(&TaggedValue::FractalType(fractal_type)) => Some(fractal_type),
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_ => None,
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};
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@ -966,28 +966,30 @@ pub fn noise_pattern_properties(document_node: &DocumentNode, node_id: NodeId, _
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!domain_warp_active && (current_fractal_type == Some(FractalType::DomainWarpIndependent) || current_fractal_type == Some(FractalType::DomainWarpProgressive));
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// All
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let dimensions = vec2_widget(document_node, node_id, 1, "Dimensions", "W", "H", "px", Some(1.), add_blank_assist);
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let seed = number_widget(document_node, node_id, 2, "Seed", NumberInput::default().min(0.).is_integer(true), true);
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let scale = number_widget(document_node, node_id, 3, "Scale", NumberInput::default().min(0.).disabled(!coherent_noise_active), true);
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let noise_type_row = noise_type(document_node, node_id, 4, "Noise Type", true);
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let clip = LayoutGroup::Row {
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widgets: bool_widget(document_node, node_id, 0, "Clip", true),
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};
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let seed = number_widget(document_node, node_id, 1, "Seed", NumberInput::default().min(0.).is_integer(true), true);
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let scale = number_widget(document_node, node_id, 2, "Scale", NumberInput::default().min(0.).disabled(!coherent_noise_active), true);
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let noise_type_row = noise_type(document_node, node_id, 3, "Noise Type", true);
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// Domain Warp
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let domain_warp_type_row = domain_warp_type(document_node, node_id, 5, "Domain Warp Type", true, !coherent_noise_active);
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let domain_warp_type_row = domain_warp_type(document_node, node_id, 4, "Domain Warp Type", true, !coherent_noise_active);
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let domain_warp_amplitude = number_widget(
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document_node,
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node_id,
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6,
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5,
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"Domain Warp Amplitude",
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NumberInput::default().min(0.).disabled(!coherent_noise_active || !domain_warp_active),
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true,
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);
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// Fractal
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let fractal_type_row = fractal_type(document_node, node_id, 7, "Fractal Type", true, !coherent_noise_active);
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let fractal_type_row = fractal_type(document_node, node_id, 6, "Fractal Type", true, !coherent_noise_active);
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let fractal_octaves = number_widget(
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document_node,
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node_id,
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8,
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7,
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"Fractal Octaves",
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NumberInput::default()
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.mode_range()
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@ -1001,7 +1003,7 @@ pub fn noise_pattern_properties(document_node: &DocumentNode, node_id: NodeId, _
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let fractal_lacunarity = number_widget(
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document_node,
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node_id,
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9,
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8,
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"Fractal Lacunarity",
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NumberInput::default()
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.mode_range()
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@ -1013,7 +1015,7 @@ pub fn noise_pattern_properties(document_node: &DocumentNode, node_id: NodeId, _
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let fractal_gain = number_widget(
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document_node,
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node_id,
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10,
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9,
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"Fractal Gain",
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NumberInput::default()
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.mode_range()
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@ -1025,7 +1027,7 @@ pub fn noise_pattern_properties(document_node: &DocumentNode, node_id: NodeId, _
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let fractal_weighted_strength = number_widget(
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document_node,
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node_id,
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11,
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10,
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"Fractal Weighted Strength",
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NumberInput::default()
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.mode_range()
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@ -1037,7 +1039,7 @@ pub fn noise_pattern_properties(document_node: &DocumentNode, node_id: NodeId, _
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let fractal_ping_pong_strength = number_widget(
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document_node,
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node_id,
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12,
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11,
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"Fractal Ping Pong Strength",
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NumberInput::default()
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.mode_range()
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@ -1048,12 +1050,12 @@ pub fn noise_pattern_properties(document_node: &DocumentNode, node_id: NodeId, _
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);
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// Cellular
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let cellular_distance_function_row = cellular_distance_function(document_node, node_id, 13, "Cellular Distance Function", true, !coherent_noise_active || !cellular_noise_active);
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let cellular_return_type = cellular_return_type(document_node, node_id, 14, "Cellular Return Type", true, !coherent_noise_active || !cellular_noise_active);
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let cellular_distance_function_row = cellular_distance_function(document_node, node_id, 12, "Cellular Distance Function", true, !coherent_noise_active || !cellular_noise_active);
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let cellular_return_type = cellular_return_type(document_node, node_id, 13, "Cellular Return Type", true, !coherent_noise_active || !cellular_noise_active);
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let cellular_jitter = number_widget(
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document_node,
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node_id,
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15,
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14,
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"Cellular Jitter",
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NumberInput::default()
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.mode_range()
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@ -1065,7 +1067,7 @@ pub fn noise_pattern_properties(document_node: &DocumentNode, node_id: NodeId, _
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vec![
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// All
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dimensions,
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clip,
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LayoutGroup::Row { widgets: seed },
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LayoutGroup::Row { widgets: scale },
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noise_type_row,
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@ -168,9 +168,7 @@ impl Footprint {
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}
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pub fn scale(&self) -> DVec2 {
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let x = self.transform.transform_vector2((1., 0.).into()).length();
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let y = self.transform.transform_vector2((0., 1.).into()).length();
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DVec2::new(x, y)
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self.transform.decompose_scale()
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}
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pub fn offset(&self) -> DVec2 {
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@ -13,7 +13,7 @@ use graphene_core::value::CopiedNode;
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use graphene_core::{AlphaBlending, Color, Node, WasmNotSend};
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use fastnoise_lite;
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use glam::{DAffine2, DVec2, UVec2, Vec2};
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use glam::{DAffine2, DVec2, Vec2};
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use rand::prelude::*;
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use rand_chacha::ChaCha8Rng;
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use std::collections::HashMap;
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@ -586,7 +586,7 @@ fn image_frame<_P: Pixel>(image: Image<_P>, transform: DAffine2) -> graphene_cor
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#[derive(Debug, Clone, Copy)]
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pub struct NoisePatternNode<
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Dimensions,
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Clip,
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Seed,
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Scale,
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NoiseType,
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@ -602,7 +602,7 @@ pub struct NoisePatternNode<
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CellularReturnType,
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CellularJitter,
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> {
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dimensions: Dimensions,
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clip: Clip,
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seed: Seed,
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scale: Scale,
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noise_type: NoiseType,
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@ -622,8 +622,8 @@ pub struct NoisePatternNode<
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#[node_macro::node_fn(NoisePatternNode)]
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#[allow(clippy::too_many_arguments)]
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fn noise_pattern(
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_no_primary_input: (),
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dimensions: UVec2,
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footprint: Footprint,
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clip: bool,
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seed: u32,
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scale: f64,
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noise_type: NoiseType,
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@ -639,11 +639,33 @@ fn noise_pattern(
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cellular_return_type: CellularReturnType,
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cellular_jitter: f64,
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) -> graphene_core::raster::ImageFrame<Color> {
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let viewport_bounds = footprint.viewport_bounds_in_local_space();
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let mut size = viewport_bounds.size();
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let mut offset = viewport_bounds.start;
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if clip {
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// TODO: Remove "clip" entirely (and its arbitrary 100x100 clipping square) once we have proper resolution-aware layer clipping
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const CLIPPING_SQUARE_SIZE: f64 = 100.;
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let image_bounds = Bbox::from_transform(DAffine2::from_scale(DVec2::splat(CLIPPING_SQUARE_SIZE))).to_axis_aligned_bbox();
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let intersection = viewport_bounds.intersect(&image_bounds);
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offset = (intersection.start - image_bounds.start).max(DVec2::ZERO);
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size = intersection.size();
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}
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// If the image would not be visible, return an empty image
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if size.x <= 0. || size.y <= 0. {
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return ImageFrame::empty();
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}
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let footprint_scale = footprint.scale();
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let width = (size.x * footprint_scale.x) as u32;
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let height = (size.y * footprint_scale.y) as u32;
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// All
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let [width, height] = dimensions.to_array();
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let mut image = Image::new(width, height, Color::from_luminance(0.5));
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let mut noise = fastnoise_lite::FastNoiseLite::with_seed(seed as i32);
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noise.set_frequency(Some(scale as f32 / 1000.));
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noise.set_frequency(Some(1. / (scale as f32).max(f32::EPSILON)));
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// Domain Warp
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let domain_warp_type = match domain_warp_type {
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@ -665,6 +687,8 @@ fn noise_pattern(
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NoiseType::ValueCubic => fastnoise_lite::NoiseType::ValueCubic,
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NoiseType::Value => fastnoise_lite::NoiseType::Value,
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NoiseType::WhiteNoise => {
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// TODO: Generate in layer space, not viewport space
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let mut rng = ChaCha8Rng::seed_from_u64(seed as u64);
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for y in 0..height {
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@ -677,7 +701,7 @@ fn noise_pattern(
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return ImageFrame::<Color> {
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image,
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transform: DAffine2::from_scale(DVec2::new(width as f64, height as f64)),
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transform: DAffine2::from_translation(offset) * DAffine2::from_scale(size),
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alpha_blending: AlphaBlending::default(),
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};
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}
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@ -718,12 +742,16 @@ fn noise_pattern(
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noise.set_cellular_return_type(Some(cellular_return_type));
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noise.set_cellular_jitter(Some(cellular_jitter as f32));
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let coordinate_offset = offset.as_vec2();
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let scale = size.as_vec2() / Vec2::new(width as f32, height as f32);
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// Calculate the noise for every pixel
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for y in 0..height {
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for x in 0..width {
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let pixel = image.get_pixel_mut(x, y).unwrap();
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let pos = Vec2::new(x as f32, y as f32);
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let vec = pos * scale + coordinate_offset;
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let (mut x, mut y) = (x as f32, y as f32);
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let (mut x, mut y) = (vec.x, vec.y);
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if domain_warp_active && domain_warp_amplitude > 0. {
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(x, y) = noise.domain_warp_2d(x, y);
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}
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@ -736,7 +764,7 @@ fn noise_pattern(
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// Return the coherent noise image
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ImageFrame::<Color> {
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image,
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transform: DAffine2::from_scale(DVec2::new(width as f64, height as f64)),
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transform: DAffine2::from_translation(offset) * DAffine2::from_scale(size),
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alpha_blending: AlphaBlending::default(),
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}
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}
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@ -748,20 +776,17 @@ pub struct MandelbrotNode;
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fn mandelbrot_node(footprint: Footprint) -> ImageFrame<Color> {
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let viewport_bounds = footprint.viewport_bounds_in_local_space();
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let width = footprint.resolution.x;
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let height = footprint.resolution.y;
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let image_bounds = Bbox::from_transform(DAffine2::IDENTITY).to_axis_aligned_bbox();
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let intersection = viewport_bounds.intersect(&image_bounds);
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let size = intersection.size();
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let offset = (intersection.start - image_bounds.start).max(DVec2::ZERO);
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// If the image would not be visible, return an empty image
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if size.x <= 0. || size.y <= 0. {
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return ImageFrame::empty();
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}
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let offset = (intersection.start - image_bounds.start).max(DVec2::ZERO);
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let scale = footprint.scale();
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let width = (size.x * scale.x) as u32;
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let height = (size.y * scale.y) as u32;
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@ -644,7 +644,7 @@ fn node_registry() -> HashMap<ProtoNodeIdentifier, HashMap<NodeIOTypes, NodeCons
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async_node!(graphene_core::memo::ImpureMemoNode<_, _, _>, input: Footprint, output: TextureFrame, fn_params: [Footprint => TextureFrame]),
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register_node!(graphene_core::structural::ConsNode<_, _>, input: Image<Color>, params: [&str]),
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register_node!(graphene_std::raster::ImageFrameNode<_, _>, input: Image<Color>, params: [DAffine2]),
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register_node!(graphene_std::raster::NoisePatternNode<_, _, _, _, _, _, _, _, _, _, _, _, _, _, _>, input: (), params: [UVec2, u32, f64, NoiseType, DomainWarpType, f64, FractalType, u32, f64, f64, f64, f64, CellularDistanceFunction, CellularReturnType, f64]),
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register_node!(graphene_std::raster::NoisePatternNode<_, _, _, _, _, _, _, _, _, _, _, _, _, _, _>, input: Footprint, params: [bool, u32, f64, NoiseType, DomainWarpType, f64, FractalType, u32, f64, f64, f64, f64, CellularDistanceFunction, CellularReturnType, f64]),
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#[cfg(feature = "quantization")]
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register_node!(graphene_std::quantization::GenerateQuantizationNode<_, _>, input: ImageFrame<Color>, params: [u32, u32]),
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register_node!(graphene_core::quantization::QuantizeNode<_>, input: Color, params: [QuantizationChannels]),
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