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For issue #23.

@kreczko Let me know if this works! (I haven't tested your case, just a generic TArrayD.)

@kreczko
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kreczko commented Jul 8, 2019

Looks good (once #22 is applied, of course ;) )!
Thank you!

a = aghast.from_root(proX) # works now
a.dump()
Histogram(
  axis=[
    Axis(
      binning=
        EdgesBinning(
          edges=[0 10 15 20 30 999],
          overflow=RealOverflow(loc_underflow=BinLocation.below1, loc_overflow=BinLocation.above1)),
      statistics=[
        Statistics(
          moments=[
            Moments(sumwxn=InterpretedInlineInt64Buffer(buffer=[10]), n=0),
            Moments(sumwxn=InterpretedInlineFloat64Buffer(buffer=[10]), n=0, weightpower=1),
            Moments(sumwxn=InterpretedInlineFloat64Buffer(buffer=[10]), n=0, weightpower=2),
            Moments(sumwxn=InterpretedInlineFloat64Buffer(buffer=[272]), n=1, weightpower=1),
            Moments(sumwxn=InterpretedInlineFloat64Buffer(buffer=[7544]), n=2, weightpower=1)
          ])
      ])
  ],
  counts=
    WeightedCounts(
      sumw=InterpretedInlineFloat64Buffer(buffer=[0 0 0 0 5 5 0]),
      sumw2=InterpretedInlineFloat64Buffer(buffer=[0 0 0 0 5 5 0])))

@jpivarski jpivarski merged commit 2a57c6c into master Jul 8, 2019
@jpivarski jpivarski deleted the issue-23 branch July 8, 2019 15:49
@LovelyBuggies LovelyBuggies mentioned this pull request Mar 27, 2020
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3 participants