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chore(release): prep for patch release (#3499)
prep releases Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>
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‎CHANGELOG.md‎

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### Fixed
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## [v2.3.2] - 2026-04-02
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### Changed
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- 📝 **docs**: Add Kaputt dataset example notebook and extend datamodule API to support paper's four training settings by @ashwinvaidya17 in https://github.com/open-edge-platform/anomalib/pull/3484
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### Fixed
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- 🐞 **model**: Fix CFA `Descriptor` multi-scale fusion to interpolate pooled features instead of raw backbone features by @wsora in https://github.com/open-edge-platform/anomalib/pull/3474
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- 🐞 **deps**: Remove deprecated CUDA 12.4 (`cu124`) dependency option to resolve Trivy security scan issues by @ashwinvaidya17 in https://github.com/open-edge-platform/anomalib/pull/3476
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## [v2.3.1] - 2026-03-27
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‎README.md‎

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> 🌟 **Announcing v2.3.1 Patch Release!** 🌟
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> 🌟 **Announcing v2.3.2 Patch Release!** 🌟
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>
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> This patch release removes previously deprecated API symbols and fixes bugs in Anomalib Studio.
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> This patch release adds a new example notebook and includes bug fixes.
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> Deprecated API removals
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> What's changed
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>
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> - **`MVTec`** → Use `MVTecAD` (datamodule) and `MVTecADDataset` (dataset) instead.
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> - **`BaseThreshold`** → Use `Threshold` instead.
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> - **`BaseVisualizer`** → Renamed to `Visualizer`.
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> - **`plot_figure`** → Use `plot_metric_curve` instead.
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> - Added Kaputt example notebook.
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> Bug fixes
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> - Fixed Windows long path issue in Anomalib Studio by switching to ShortUUID.
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> - Fixed source path overflow in Studio UI.
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> - Fixed Descriptor model to use pooled features in multi-scale fusion.
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> - Removed cu124 dependency.
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> We value your input! Please share feedback via [GitHub Issues](https://github.com/open-edge-platform/anomalib/issues) or our [Discussions](https://github.com/open-edge-platform/anomalib/discussions)
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‎src/anomalib/__init__.py‎

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from enum import Enum
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__version__ = "2.4.0.dev0"
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__version__ = "2.3.2"
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class LearningType(str, Enum):

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