def check_mva_category_sum(year):
data = Data(year)
evt_sum = 0.
for cat in CATEGORIES['mva_all']:
cur_sum = data.events(cat)[1].value
assert_true(cur_sum > 0)
evt_sum += cur_sum
assert_true(evt_sum > 0)
presel = data.events(Category_Preselection)[1].value
presel_deta = data.events(Category_Preselection, cuts=DETA_TAUS)[1].value
assert_equal(presel_deta, evt_sum)
assert_true(presel > evt_sum)
def test_category_orthogonality():
data = Data(year=2012)
cats = CATEGORIES['harmonize']
class CombinedCat(Category):
cuts = reduce(and_, [c.cuts for c in cats])
year_cuts = cats[0].year_cuts
log.info(str(CombinedCat.cuts))
assert_equal(data.events(CombinedCat, 'OS_TRK'), 0)
def check_category_orthogonality(year, cat_type):
data = Data(year)
cats = CATEGORIES[cat_type]
cuts = reduce(and_, [c.get_cuts(year) for c in cats])
log.info(str(cuts))
assert_equal(data.events(cuts=cuts)[1].value, 0)