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Releases: stevenwaterman/SharpShot

Version 0.4.2 - Stability and UI Improvements

23 Jul 11:20
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Stability is improved by fixing race conditions at high animation speeds.

UI is improved, including a rework of the node creation UI to have nested menus, grouping nodes into categories.

Introduces 2 new node types: rotation nodes and single-use branches. Rotation nodes redirect bullets based on incoming direction, and single-use branches only branch the first bullet that enters them.

Version 0.4.1 - Stability improvements

16 Jun 12:30
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Pre-release

There were some issues in v0.4 that led to instability and errors after a while of animating a board. It predominantly affected low-powered devices, but is fixed now.

Also the colours of the nodes have been changed. That was meant to happen in v0.4 but the commit wasn't pushed before the release.

Version 0.4 - Complete Rewrite and UI changes

14 Jun 22:40
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Sharpshot now requires java 11.

This version sees almost a complete rewrite, and the GUI is far more user-friendly now. It also has increased performance.

2019-07 edit: There definitely was a 0.4, but I have no idea where it's gone. It was probably really buggy or something.

Version 0.2.3 - Put grid size back to 32

23 Nov 14:35
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v0.2.3

Replace version with 0.2.3

Version 0.2.1 - Hotfix for Null Inputs

23 Nov 00:13
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Pre-release

All input nodes were outputting only null bullets

This is a quick fix for that. Otherwise identical to v0.2
No idea how I missed it!

Version 0.2.2 - Hotfix to fix rotation

23 Nov 02:08
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Rotation was broken due to not re-rendering after rotation.

Version 0.2 - Kotlin Rewrite

22 Nov 19:39
380aa75
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This build has a critical bug DO NOT USE

Mostly backend changes, cleaned up a lot of tech debt from the hackathon.

A few UI additions:

  • Inputs are now comma-separated
  • Able to change tick rate
  • Able to change grid size
  • Able to use grids larger than screen (scroll bars appear)
  • Save/Load now saves as images which can be loaded back in

Version 0.1 - Durhack Final Version

18 Nov 15:01
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To run, just execute the jar.

You will need javafx installed in your JVM.