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# Version 1.1 #
## Sigima Version 1.1.1 (2026-02-02) ##
### 🛠️ Bug Fixes since version 1.1.0 ###
* **Stub server**: Added missing Web API control methods to `DataLabStubServer` for testing DataLab's REST API integration
* Added `start_webapi_server()` stub (returns dummy URL and token)
* Added `stop_webapi_server()` stub
* Added `get_webapi_status()` stub (returns server status dictionary)
### 🔧 Other changes ###
* Updated development status classifier to "Production/Stable"
* Added "Try it Online" section with [notebook.link](https://notebook.link/) integration in documentation
## Sigima Version 1.1.0 (2026-01-31) ##
✨ New features and enhancements:
* **Stub server**: Added missing methods to `DataLabStubServer` to support new DataLab features
* Added `remove_object()` method (removes an object from DataLab)
* Added `call_method()` method (simulates calling a method on DataLab's main interface or panels)
* **Test infrastructure**: Refactored visualization code in test suite for better maintainability
* Centralized PlotPy visualization utilities in `sigima.viz` module
* Added standardized helper functions: `create_curve()`, `create_image()`, `create_circle()`, `create_segment()`, `create_cursor()`, `create_marker()`, and `create_contour_shapes()`
* Updated all interactive test functions to use the new unified API instead of direct PlotPy builder calls
* Improved code consistency across signal and image test modules
* **Visualization backend flexibility**: Added support for Matplotlib as an alternative to PlotPy for test visualizations
* New configuration option `viz_backend` to select visualization library ("auto", "plotpy", or "matplotlib")
* Environment variable `SIGIMA_VIZ_BACKEND` can override configuration
* Automatic fallback from PlotPy to Matplotlib when PlotPy is not available
* Backend information exposed via `sigima.viz.BACKEND_NAME` and `BACKEND_SOURCE`
* Matplotlib backend provides stubs for unsupported functions (raises `NotImplementedError`)
* Unit test ensures API compatibility between backends
* **Jupyter notebook HTML representation**: Added rich HTML display for Sigima objects in Jupyter notebooks
* `SignalObj` displays shape, dtype, X/Y ranges, axis labels, and title in a formatted table
* `ImageObj` displays shape, dtype, value range, origin, pixel spacing, extent, axis labels, and title
* ROI objects (`BaseSingleROI`, `BaseROI`) display their geometric properties
* `BaseCoordinates` and derived classes display point coordinates
* `TableResult` and `GeometryResult` display result data with source object information
* Centralized CSS styling in `HTML_TABLE_CSS` constant for consistent appearance
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