github microsoft/msticpy v1.4.5
Lazy loading of Config Editor tabs

latest releases: v2.14.0, v2.13.1, v2.13.0...
3 years ago

Minor release to address some performance problems with the config editor on Azure ML notebooks platform.
The control uses lots of ipywidgets and the AML notebook front-end has some perf issues with lots of widgets.
The improvement is to not load all controls/widgets for the settings editor - only load each tab as it is selected.

The release also includes a minor change to the entities classes - to allow them to be JSON serializable by adding a
JSON Encoder class to entities.Entity.

json.dumps(my_entity_list, cls=entities.Entity.JSONEncoder)

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