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2.1.0

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@nvaytet nvaytet released this 06 Sep 19:24
· 653 commits to main since this release
  • Add cpu_list argument to load function to enable selective loading of cpu files: data = osyris.load(71, scale="au", path="data", cpu_list=[5, 9, 20, 30, 60])

  • Add hilbert based loader, when selective loading is carried out on the x,y,z coordinates: data = osyris.load(71, scale="au", select={"x": lambda x : x > 5500. * osyris.units('au')})

  • lmax has been removed in arguments of load, instead use data = osyris.load(71, scale="au", select={"level": lambda l : l < 12})

  • New algorithm for plane plots: hybrid method with first histogramming and then filling the blanks by finding the actual cell in the 3d domain that contains the blank image pixel.