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[NonGNU ELPA] Gnosis version 0.4.6


From: ELPA update
Subject: [NonGNU ELPA] Gnosis version 0.4.6
Date: Wed, 23 Oct 2024 05:05:13 -0400

Version 0.4.6 of package Gnosis has just been released in NonGNU ELPA.
You can now find it in M-x list-packages RET.

Gnosis describes itself as:

  ========================
  Spaced Repetition System
  ========================

More at https://elpa.nongnu.org/nongnu/gnosis.html

## Summary:


  Gnosis | Γνῶσις
  ------------------

  Gnosis is a GNU Emacs spaced repetition system.

  - Project's Page: <https://thanosapollo.org/projects/gnosis/>
  - User Manual: <https://elpa.nongnu.org/nongnu/doc/gnosis.html>

## Recent NEWS:

-*- mode: org -*-

* 0.4.6
+ Refactor gnosis-dashboard without using widgets
+ Improve searching of gnosis notes within dashboard

* 0.4.5
+ Fix cloze hint removal issues.
+ Update documentation
  + Add Contributing section
+ Refactor gnosis-dashboard module as part of gnosis.el

* 0.4.4
+ Add clear-history.
+ *Refactor* review actions to use read-char-choice.
  + This is done to allow users to switch buffers during review,
    something that couldn't be done with read-multiple-choice
+ Add documentation for interactions with other software
  + Add documentation for using gnosis with =emacs-no-literring=.

* 0.4.3
+ Fix breaking changes for editing cloze notes.
+ Refactor calculation of dates in gnosis algorithm.

* 0.4.2.

+ Fix display issues on non-grapical interface.
+ Add variable watchers for custom algorithm values.
+ Update assertions for editing notes

* 0.4.1
+  Update to emacsql-4.0.0

* 0.4.0
+ Major rewrite on gnosis algorithm.
  + Add gnosis-score
  + Add epignosis and agnoia
  + Add lethe and anagnosis events
    + Anagnosis events adjust gnosis-score
      depending on review performance, using epignosis
      and agnoia
    + Lethe resets next interval to 0
  + Refactor calculations of next interval and gnosis-score
+ Add custom variables for tags and decks, configured using emacs
  lisp.
+ Rewrite gnosis database.
  + Remove deck specific values.
  + Use new algorithm variables.





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