import ROOT
tagCat = ROOT.RooCategory("tagCat", "Tagging category")
tagCat.defineType("Lepton")
tagCat.defineType("Kaon")
tagCat.defineType("NetTagger-1")
tagCat.defineType("NetTagger-2")
tagCat.Print()
b0flav = ROOT.RooCategory("b0flav", "B0 flavour eigenstate", {"B0": -1, "B0bar": 1})
b0flav.Print()
x = ROOT.RooRealVar("x", "x", 0, 10)
p = ROOT.RooPolynomial("p", "p", x)
data = p.generate({x, b0flav, tagCat}, 10000)
tcatType = ROOT.RooMappedCategory("tcatType", "tagCat type", tagCat, "Cut based")
tcatType.map("Lepton", "Cut based")
tcatType.map("Kaon", "Cut based")
tcatType.map("NetTagger*", "Neural Network")
mtable = data.table(tcatType)
mtable.Print("v")
b0Xtcat = ROOT.RooSuperCategory("b0Xtcat", "b0flav X tagCat", {b0flav, tagCat})
stable = data.table(b0Xtcat)
stable.Print("v")
b0Xtcat.setLabel("{B0bar;Lepton}")
b0Xttype = ROOT.RooMultiCategory("b0Xttype", "b0flav X tagType", {b0flav, tcatType})
xtable = data.table(b0Xttype)
xtable.Print("v")