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v1.2.0
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@virgesmith virgesmith released this 08 Jan 15:25
· 36 commits to main since this release
1.2.0
4c7c873

Functional changes

  • The neworder Monte-Carlo engine can now be used directly as a numpy random generator, giving access to all of numpy's random functionality. Create a generator via the as_np adapter method, e.g.:

    model = no.Model(no.NoTimeline(), no.MonteCarlo.deterministic_identical_stream)
gen = no.as_np(model.mc)
normals = gen.normal(size=100)

  • MonteCarlo.state() method now works on OSX (was previously disabled due to an apparent bug in the MT19937 implementation).

Internal

  • numerous minor updates
  • use C++20 standard
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