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  • master
    Old master branch
    
  • passing_tests
  • test_was_working
    6a54c3f3 · Passing test HornNet ·
  • 1.2.0
    L-GPL + Python edition
    
    - Move QLKNN-fortran officially to L-GPL
      - See https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/36
    - Add F2CK + F90WRAP based Python packaging
      - See https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/38
    - Compile matlab interfaces with stricter compiler settings
      - See https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/36
    - Update CI Docker and scripts to QLK v2.8.1 Docker image
      - See https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/35
    - Add documentation for HornNet fortran module in FORD
    
  • 1.1.0
    JETTO develop with git LFS
    
    Major changes:
    - Go from `git clone` to `git lfs` for data files. From tens of minutes to 1/2 minutes to clone
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/25
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/34
    - QLKNN is now f2003 compliant (as tested in CI with gcc-6)
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/14
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/32
    - Add QLKNN-fullflux, nets that are not fitted with the QLKNN methodology
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/9
    - Added QLKNN-jetexp in JETTO by A. Ho _et al._ (publication on EuroFusion pinboard)
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/10
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/19
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/20
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/21
    - Added QLKNN-HornNet by P. Horn _et al._ in JINTRAC (publication in preparation)
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/13
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/18
    - Added QLKNN-HornNet by P. Horn _et al._ in RAPTOR (publication in preparation)
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/28
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/29
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/30
    - Improvements to QLKNN-fortran mexed into RAPTOR
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/22
    
    Minor changes:
    - Improvement to the TUBS build system
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/7
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/23
    - Better generalization
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/15
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/17
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/24
    - Nicer debugging
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/33
    
    Helpful additions:
    - Better profiling and plotting
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/8
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/11
      * Many many more commits
    - Docs by using FORD
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/12
    - Better CI by using FRUIT and FRUITsh
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/16
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/26
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/27
      * https://gitlab.com/qualikiz-group/QLKNN-fortran/-/merge_requests/31
    
  • qlknn-jetexp-1.0.0
    Version 1 of jetexp nets
    
  • qlknn-hornnet-9D-MSc
    qlknn-hornnet-9D-MSc: Trained in P. Horn MSc thesis style
    
  • aaron-paper-version
  • v1.0.0
    This version is equivalent to the version as submitted by K.L. van de Plassche et al. to physics of plasmas.
  • v0.1.0