213 lines
5.1 KiB
Python
213 lines
5.1 KiB
Python
"""
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Central Add Node menu manifest.
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Edit MENU_LAYOUT to rearrange which nodes appear under each menu leaf and
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their order within that leaf. Node classes not listed here fall back to their
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class CATEGORY.
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"""
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from __future__ import annotations
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from typing import Any
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MENU_LAYOUT: dict[str, list[str]] = {
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"Input": [
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"Image",
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"ImageDemo",
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"Folder",
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"SyntheticSurface",
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"Note",
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"TextNote",
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"Number",
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"RangeSlider",
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"Coordinate",
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"CoordinatePair",
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],
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"Display": [
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"PreviewImage",
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"View3D",
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"ColorMap",
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"ColormapAdjust",
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"Font",
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"ValueIO",
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"PrintTable",
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"Save",
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"SaveImage",
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"Shade",
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"PresentationOps",
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],
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"Overlay": [
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"Markup",
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"Annotations",
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"AngleMeasure",
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"Cursors",
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],
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"Geometry": [
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"CropResizeField",
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"RotateField",
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"FlipField",
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"Resample",
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"AffineCorrection",
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"PerspectiveCorrection",
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"PolynomialDistortion",
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"ImageStitch",
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"MutualCrop",
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"ImmerseDetail",
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"PixelBinning",
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"ExtendPad",
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"FieldArithmetic",
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"DisplacementField",
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],
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"Level & Correct": [
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"FixZero",
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"PlaneLevelField",
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"PolyLevelField",
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"FacetLevelField",
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"FlattenBase",
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"LineCorrection",
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"DriftCorrection",
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"ScarRemoval",
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"SpotRemoval",
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"LaplaceInterpolation",
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"FractalInterpolation",
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"ScanLineReorder",
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"Tilt",
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"WrapValue",
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"DistributionCoercion",
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"Calibration",
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],
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"Filter": [
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"GaussianFilter",
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"MedianFilter",
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"KuwaharaFilter",
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"WaveletDenoise",
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"LocalContrast",
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"CustomConvolution",
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"Deconvolution",
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"MedianBackground",
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"TrimmedMean",
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"RankFilter",
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"Gradient",
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"EdgeDetect",
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],
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"Spectral": [
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"FFT2D",
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"FFT2DInverse",
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"FFTFilter",
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"FFT1D",
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"ACF2D",
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"ACF1D",
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"PSDF",
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"LogPolarPSDF",
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"FrequencySplit",
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"CrossCorrelate",
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"SuperResolution",
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],
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"Measure": [
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"CrossSection",
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"Histogram",
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"Statistics",
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"Stats",
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"Curvature",
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"ShapeFitting",
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"TerraceFit",
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"FractalDimension",
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"Entropy",
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"SlopeDistribution",
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"RadialProfile",
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"LatticeMeasurement",
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"AngleMeasure",
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"MultipleProfiles",
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"StraightenPath",
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"RelateFields",
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"DWTAnisotropy",
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],
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"Detect": [
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"FeatureDetection",
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"HoughTransform",
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"TemplateMatch",
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"FacetAnalysis",
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"MFMAnalysis",
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"MFMCurrentSimulation",
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"MFMDomainGeneration",
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"ZeroCrossing",
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"PFMAnalysis",
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"LateralForceSim",
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"SEMSimulation",
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"SMMAnalysis",
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"PixelClassification",
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"NeuralClassification",
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"LogisticClassification",
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],
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"Mask": [
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"DrawMask",
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"ThresholdMask",
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"GrainMark",
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"OutlierMask",
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"MaskMorphology",
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"MaskInvert",
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"MaskOperations",
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"MarkDisconnected",
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"MaskShift",
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"MaskNoisify",
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],
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"Grains": [
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"GrainDistanceTransform",
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"WatershedSegmentation",
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"GrainAnalysis",
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"GrainFilter",
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"GrainDistributions",
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"GrainSummary",
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"LevelGrains",
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"GrainEdge",
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"GrainCross",
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"GrainVisualization",
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],
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"Tip": [
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"TipModel",
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"TipDeconvolution",
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"BlindTipEstimate",
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"TipShapeEstimate",
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"PSFEstimation",
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],
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}
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_CATEGORY_ORDER = {category: index for index, category in enumerate(MENU_LAYOUT)}
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_NODE_METADATA: dict[str, dict[str, Any]] = {}
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for category, class_names in MENU_LAYOUT.items():
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for node_order, class_name in enumerate(class_names):
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metadata = _NODE_METADATA.setdefault(class_name, {
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"category": category,
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"category_order": _CATEGORY_ORDER[category],
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"menu_order": node_order,
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"menu_categories": [],
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})
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metadata["menu_categories"].append({
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"category": category,
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"category_order": _CATEGORY_ORDER[category],
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"menu_order": node_order,
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})
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def get_menu_metadata(class_name: str, cls: type | None = None) -> dict[str, Any]:
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metadata = _NODE_METADATA.get(class_name)
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if metadata is not None:
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return dict(metadata)
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# Nodes not listed in MENU_LAYOUT (e.g. plugins) can declare their own
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# menu category via a CATEGORY class attribute. Falls back to "Unsorted".
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category = getattr(cls, "CATEGORY", "Unsorted") if cls else "Unsorted"
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order = len(_CATEGORY_ORDER)
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return {
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"category": category,
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"category_order": order,
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"menu_order": 10_000,
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"menu_categories": [{
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"category": category,
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"category_order": order,
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"menu_order": 10_000,
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}],
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}
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