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@MISC{Gtz:972165,
      author       = {Götz, Markus and Debus, Charlotte and Coquelin, Daniel and
                      Krajsek, Kai and Comito, Claudia and Knechtges, Philipp and
                      Hagemeier, Björn and Tarnawa, Michael and Hanselmann, Simon
                      and Siggel, Martin and Basermann, Achim and Streit, Achim},
      title        = {{H}eat - {H}elmholtz {A}nalytics {T}oolkit - v1.2.1; 1.2.1},
      reportid     = {FZJ-2023-01109},
      year         = {2022},
      abstract     = {Changes: Support PyTorch 1.13.0; 🐛 Bug Fixes #1038
                      Lanczos decomposition linalg.solver.lanczos : Support double
                      precision, complex data types (by @ClaudiaComito) #1034
                      ht.array , closed loophole allowing DNDarray construction
                      with incompatible shapes of local arrays (by @Mystic-Slice)
                      Linear Algebra #1038 Lanczos decomposition
                      linalg.solver.lanczos : Support double precision, complex
                      data types (by @ClaudiaComito) 🧪 Testing #1025 mirror
                      repository on gitlab + ci (by @mtar) #1014 fix: set cuda rng
                      state on gpu tests for $test_random.py$ (by @JuanPedroGHM)
                      Contributors @ClaudiaComito, @JuanPedroGHM, @Mystic-Slice,
                      @coquelin77, @mtar, @github-actions, @github-actions[bot]},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / SLNS - SimLab Neuroscience
                      (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)33},
      doi          = {10.5281/ZENODO.7385611},
      url          = {https://juser.fz-juelich.de/record/972165},
}