dataLoader.DataLoader Class Reference

Inheritance diagram for dataLoader.DataLoader:

Public Member Functions
def	__init__
def	print_data

Public Attributes
	abseta_test_points
	DISCR_MAX
	DISCR_MIN
	discr_test_points
	discrs
	entries
	ETA_MAX
	ETA_MIN
	eta_test_points
	etas
	flav
	flavs
	meas_type
	op
	ops
	PT_MAX
	PT_MIN
	pt_test_points
	pts
	syss

Detailed Description

Definition at line 20 of file dataLoader.py.

Constructor & Destructor Documentation

def dataLoader.DataLoader.__init__	(		self,
			csv_data,
			measurement_type,
			operating_point,
			flavour
	)

Definition at line 21 of file dataLoader.py.

    def __init__(self, csv_data, measurement_type, operating_point, flavour):
        self.meas_type = measurement_type
        self.op = operating_point
        self.flav = flavour

        # list of entries
        ens = []
        for l in csv_data:
            if not l.strip():
                continue  # skip empty lines
            try:
                e = ROOT.BTagEntry(l)
                if (e.params.measurementType == measurement_type
                    and ((not separate_by_op)
                            or e.params.operatingPoint == operating_point)
                    and ((not separate_by_flav)
                            or e.params.jetFlavor == flavour)
                ):
                    ens.append(e)
            except TypeError:
                raise RuntimeError("Error: can not interpret line: " + l)
        self.entries = ens

        if not ens:
            return

        # fixed data
        self.ops = set(e.params.operatingPoint for e in ens)
        self.flavs = set(e.params.jetFlavor for e in ens)
        self.syss = set(e.params.sysType for e in ens)
        self.etas = set((e.params.etaMin, e.params.etaMax) for e in ens)
        self.pts = set((e.params.ptMin, e.params.ptMax) for e in ens)
        self.discrs = set((e.params.discrMin, e.params.discrMax)
                          for e in ens
                          if e.params.operatingPoint == 3)

        self.ETA_MIN = -2.4
        self.ETA_MAX = 2.4
        self.PT_MIN = min(e.params.ptMin for e in ens)
        self.PT_MAX = max(e.params.ptMax for e in ens)
        if any(e.params.operatingPoint == 3 for e in ens):
            self.DISCR_MIN = min(
                e.params.discrMin
                for e in ens
                if e.params.operatingPoint == 3
            )
            self.DISCR_MAX = max(
                e.params.discrMax
                for e in ens
                if e.params.operatingPoint == 3
            )
        else:
            self.DISCR_MIN = 0.
            self.DISCR_MAX = 1.

        # test points for variable data (using bound +- epsilon)
        eps = 1e-4
        eta_test_points = list(itertools.ifilter(
            lambda x: self.ETA_MIN < x < self.ETA_MAX,
            itertools.chain(
                (a + eps for a, _ in self.etas),
                (a - eps for a, _ in self.etas),
                (b + eps for _, b in self.etas),
                (b - eps for _, b in self.etas),
                (self.ETA_MIN + eps, self.ETA_MAX - eps),
            )
        ))
        abseta_test_points = list(itertools.ifilter(
            lambda x: 0. < x < self.ETA_MAX,
            itertools.chain(
                (a + eps for a, _ in self.etas),
                (a - eps for a, _ in self.etas),
                (b + eps for _, b in self.etas),
                (b - eps for _, b in self.etas),
                (eps, self.ETA_MAX - eps),
            )
        ))
        pt_test_points = list(itertools.ifilter(
            lambda x: self.PT_MIN < x < self.PT_MAX,
            itertools.chain(
                (a + eps for a, _ in self.pts),
                (a - eps for a, _ in self.pts),
                (b + eps for _, b in self.pts),
                (b - eps for _, b in self.pts),
                (self.PT_MIN + eps, self.PT_MAX - eps),
            )
        ))
        discr_test_points = list(itertools.ifilter(
            lambda x: self.DISCR_MIN < x < self.DISCR_MAX,
            itertools.chain(
                (a + eps for a, _ in self.discrs),
                (a - eps for a, _ in self.discrs),
                (b + eps for _, b in self.discrs),
                (b - eps for _, b in self.discrs),
                (self.DISCR_MIN + eps, self.DISCR_MAX - eps),
            )
        ))
        # use sets
        self.eta_test_points = set(round(f, 5) for f in eta_test_points)
        self.abseta_test_points = set(round(f, 5) for f in abseta_test_points)
        self.pt_test_points = set(round(f, 5) for f in pt_test_points)
        self.discr_test_points = set(round(f, 5) for f in discr_test_points)