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Releases: Flolle/terminal-flood

v2.10

06 May 14:11
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  • Changed how hints are displayed. They will also be remembered in case the user undoes a move and a hint was calculated for that previous move at some point before.
  • Small performance improvements of all solving algorithms.

v2.9

29 Oct 15:36
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  • Added the ability to ask the computer for a hint while playing the game.
  • Improved performance of all solving algorithms.

v2.8

14 Sep 20:16
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  • Made -lessMemory the standard behavior when when solving game boards. As such it is not necessary to use that program parameter anymore.
  • Renamed -lessMemoryQueueCutoff to -queueCutoff. Although the latter is preferred, -lessMemoryQueueCutoff will continue to work.
  • Performance of the solving algorithms got very slightly worse for problemsets with non-heavy memory requirements, but improved a decent amount for problemsets with larger memory workloads.

v2.7

28 Aug 14:08
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  • Improved performance of all solving algorithms, mainly during memory heavy workloads where it makes sense to use -lessMemory or -lessMemoryQueueCutoff memory schemes.

v2.6

21 Aug 09:19
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  • Improved performance of all solving algorithms, mainly when using the -lessMemory and -lessMemoryQueueCutoff memory schemes.

v2.5

12 Aug 22:24
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  • Improved performance of astar_ias and astar_ia.
  • -lessMemoryQueueCutoff now needs more time to solve boards but tends to find better solutions.

v2.4

04 Aug 16:22
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  • Improved the performance of all solving algorithms by a sizeable degree.

v2.3

30 Jul 02:26
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  • Fixed a bug with -lessMemory and -lessMemoryQueueCutoff modes that could rarely result in worse solutions being found.
  • Slightly improved performance of all solving algorithms.

v2.2

23 Jul 12:43
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  • Added memory saving modes. They can be used with the parameters -lessMemory or -lessMemoryQueueCutoff when trying to programmatically solve game boards. See the documentation for details.

v2.1

11 Feb 07:53
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  • You can end the game by typing exit or quit.
  • Slightly improved performance of the astar_a strategy.