db = DB(mc="mc_%ds_tr" % NS)
renderer = tmpl.renderer()
prefix = " & "
context = tmpl.bins(BINNING)
for np in range(NP, 4):
b = ["", ""]
yb = ["", ""]
eb = ["", ""]
eff = ""
for bin in BINNING:
for nb in range(1, 3):
fit = db.mcfit(bin=bin, np=np, nb=nb)
b[nb - 1] += tmpl.col(utils.latex_ve_pair(fit["N"]))
yb[nb - 1] += tmpl.col(
utils.long_format(db.mcups(bin=bin, np=np, nb=nb, ns=NS)))
eb[nb - 1] += tmpl.col(
utils.latex_ve_pair(db.eff(bin, np=np, nb=nb, ns=NS) * 100))
eff += tmpl.col(
utils.latex_ve_pair(db.eff(bin, np=np, ns=NS) * 100), bold=True)
context.update({
"np": np,
"ns": NS,
"b1": b[0],
"b2": b[1],
"yb1": yb[0],
"yb2": yb[1],
