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Releases: WillJRoper/h5forest

Initial Pre-release (with plotting and deployment workflow)

20 Oct 23:01
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What's Changed

Full Changelog: v0.5.0-beta...v0.6.0-beta

Prettier Trees and long overdue bug fixes

20 Oct 19:18
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What's Changed

Full Changelog: 0.4.0-beta...v0.5.0-beta

Plotting and performance

06 Mar 13:12
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Pre-release

Plottting functionality has been introduced alongside some performance improvements.

  • Introduces plotting and histogram modes.
  • Can now plot density maps from 2 1D datasets.
  • Can now plot histograms of specific datasets.
  • Tree is now a buffer to trigger cursor movement events rather than pinning the thread to 100% with a concurrent thread watching for cursor movement.
  • Minor bug fixes.

VIMify, statistics and a mini buffer

17 Feb 17:52
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Pre-release

This pre-release introduces the mode model while introducing new ways to give the user feedback.

CHANGELOG:

  • Moved to a mode model for key bindings.
  • A progress bar has been introduced for long running operations.
  • A mini buffer has been introduced both for user input and displaying feedback to the user.

Refinement and performance improvement of basic fucntionality.

15 Feb 17:26
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This release fully documents the code and improves some issues with the initial structuring. No new functionality has been added.

CHANGELOG:

  • Hotkey labels are more obvious to non-emacs users.
  • The main application is now packaged in a class enabling better access of the state.
  • Various repeated calculations are now done only once and the result is stored to reduce computation.
  • Metadata and attributes are only updated if something has changed rather than constantly being updated by the cursor movement thread.
  • Code is fully documented.

Initial tag with basic functionality

14 Feb 21:25
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Pre-release

This release is the initial release of h5forest including the basic functionality to view the contents of a HDF5 file interactively with:

  • Automatic metadata and attributes displays.
  • Dataset value displays (including a subset if a dataset is too large).
  • Lazy loading of HDF5 data to ensure the overheads are kept low.