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Node network subgraph editing (#1750)
* Breadcrumb visualization, nested network consistency, create definitions for Merge internal nodes * Add index to network inputs, remove imports usage from flatten network * Replace NodeOutput with NodeInput::Node * Fully remove imports field, remove unnecessary identity nodes, move Output node to encapsulating network * Replace previous_outputs with root_node, fix adding artboard/layer to empty network * Import/Export UI nodes * Display input/output types dynamically from compiled network * Add LayerNodeIdentifer::ROOT_PARENT * Prevent .to_node() on ROOT_PARENT * Separate NodeGraphMessage and GraphOperationMessage * General bug fixes with nested networks * Change layer color, various bug fixes and improvements * Fix disconnect and set node input for proto nodes and UI export node * Dashed line to export for previewed node * Fix deleting proto nodes and nodes that feed into export * Allow modifications to nodes outside of nested network * Get network from Node Id parameter * Change root_node to previous_root_node * Get TaggedValue from proto node implementation type when disconnecting * Improve preview functionality and state * Artboard position and delete children fix * Name inputs/outputs based on DocumentNodeDefinition or type, fix new artboard/layer insertion * replace "Link" with "Wire", adjust previewing * Various bug fixes and improvements * Modify Sample and Poisson-Disk points, fix incorrect input index and deleting currently viewed node * Open demo artwork * Fix opening already upgraded documents and refactor FrontendGraphDataType usages * Fix deleting within network and other bugs * Get default node input from compiled network when copying, fix previews, tests, demo artwork * Code cleanup * Hide EditorApi and add a comment describing unresolved Import node input types * Code review * Replace placeholder ROOT_PARENT NodeId with std::u64::MAX * Breadcrumb padding --------- Co-authored-by: Keavon Chambers <keavon@keavon.com>
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@@ -96,8 +96,8 @@ fn create_distribution(data: Vec<f64>, samples: usize, channel: usize) -> Vec<(f
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let max = *data.iter().max_by(|a, b| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal)).unwrap();
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let data: Vec<f64> = data.iter().map(|x| x / max).collect();
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dbg!(max);
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//let data = autoquant::generate_normal_distribution(3.0, 1.1, 1000);
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//data.iter_mut().for_each(|x| *x = x.abs());
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// let data = autoquant::generate_normal_distribution(3.0, 1.1, 1000);
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// data.iter_mut().for_each(|x| *x = x.abs());
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let mut dist = autoquant::integrate_distribution(data);
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autoquant::drop_duplicates(&mut dist);
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let dist = autoquant::normalize_distribution(dist.as_slice());
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