remove branches with MASSWITHHYPOTHESES from qmtests

DaVinciExamples/tests/qmtest/tupling.qms/test_davinci_tupling_All.qmt

@@ -88,7 +88,7 @@ f.Close()
 # Check there are no NaN values in the ntuple except where expected.
 from DaVinciTests.QMTest.check_helpers import list_fields_with_nan
 
-l_branches_with_nans = ['B0_TRUEP', 'B0_TRUEPT', 'B0_TRUEPX', 'B0_TRUEPY', 'B0_TRUEPZ', 'B0_TRUEENERGY', 'B0_TRUEORIGINVERTEX_X', 'B0_TRUEORIGINVERTEX_Y', 'B0_TRUEORIGINVERTEX_Z', 'B0_TRUEENDVERTEX_X', 'B0_TRUEENDVERTEX_Y', 'B0_TRUEENDVERTEX_Z', 'B0_MASSWITHHYPOTHESES', 'Kaon_PROBNN_D', 'Kaon_PROBNN_MU', 'Kaon_TRUEP', 'Kaon_TRUEPT', 'Kaon_TRUEPX', 'Kaon_TRUEPY', 'Kaon_TRUEPZ', 'Kaon_TRUEENERGY', 'Kaon_BREMENERGY', 'Kaon_BREMBENDCORR', 'Kaon_BREMPIDE', 'Kaon_ECALPIDE', 'Kaon_ECALPIDMU', 'Kaon_HCALPIDE', 'Kaon_HCALPIDMU', 'Kaon_ELECTRONSHOWEREOP', 'Kaon_ELECTRONSHOWERDLL', 'Kaon_ELECTRONMATCH_CHI2', 'Kaon_BREMHYPOMATCH_CHI2', 'Kaon_ELECTRONENERGY', 'Kaon_BREMHYPOENERGY', 'Kaon_BREMHYPODELTAX', 'Kaon_BREMTRACKBASEDENERGY', 'Kaon_HCALEOP', 'Ds_TRUEP', 'Ds_TRUEPT', 'Ds_TRUEPX', 'Ds_TRUEPY', 'Ds_TRUEPZ', 'Ds_TRUEENERGY', 'Ds_TRUEORIGINVERTEX_X', 'Ds_TRUEORIGINVERTEX_Y', 'Ds_TRUEORIGINVERTEX_Z', 'Ds_TRUEENDVERTEX_X', 'Ds_TRUEENDVERTEX_Y', 'Ds_TRUEENDVERTEX_Z', 'Ds_BPVCORRMERR', 'Ds_BPVLTIME', 'Ds_MASSWITHHYPOTHESES', 'pip_PROBNN_D', 'pip_PROBNN_MU', 'pip_TRUEP', 'pip_TRUEPT', 'pip_TRUEPX', 'pip_TRUEPY', 'pip_TRUEPZ', 'pip_TRUEENERGY', 'pip_BREMENERGY', 'pip_BREMBENDCORR', 'pip_BREMPIDE', 'pip_ECALPIDE', 'pip_ECALPIDMU', 'pip_HCALPIDE', 'pip_HCALPIDMU', 'pip_ELECTRONSHOWEREOP', 'pip_ELECTRONSHOWERDLL', 'pip_ELECTRONMATCH_CHI2', 'pip_BREMHYPOMATCH_CHI2', 'pip_ELECTRONENERGY', 'pip_BREMHYPOENERGY', 'pip_BREMHYPODELTAX', 'pip_BREMTRACKBASEDENERGY', 'pip_HCALEOP']
+l_branches_with_nans = ['B0_TRUEP', 'B0_TRUEPT', 'B0_TRUEPX', 'B0_TRUEPY', 'B0_TRUEPZ', 'B0_TRUEENERGY', 'B0_TRUEORIGINVERTEX_X', 'B0_TRUEORIGINVERTEX_Y', 'B0_TRUEORIGINVERTEX_Z', 'B0_TRUEENDVERTEX_X', 'B0_TRUEENDVERTEX_Y', 'B0_TRUEENDVERTEX_Z', 'Kaon_PROBNN_D', 'Kaon_PROBNN_MU', 'Kaon_TRUEP', 'Kaon_TRUEPT', 'Kaon_TRUEPX', 'Kaon_TRUEPY', 'Kaon_TRUEPZ', 'Kaon_TRUEENERGY', 'Kaon_BREMENERGY', 'Kaon_BREMBENDCORR', 'Kaon_BREMPIDE', 'Kaon_ECALPIDE', 'Kaon_ECALPIDMU', 'Kaon_HCALPIDE', 'Kaon_HCALPIDMU', 'Kaon_ELECTRONSHOWEREOP', 'Kaon_ELECTRONSHOWERDLL', 'Kaon_ELECTRONMATCH_CHI2', 'Kaon_BREMHYPOMATCH_CHI2', 'Kaon_ELECTRONENERGY', 'Kaon_BREMHYPOENERGY', 'Kaon_BREMHYPODELTAX', 'Kaon_BREMTRACKBASEDENERGY', 'Kaon_HCALEOP', 'Ds_TRUEP', 'Ds_TRUEPT', 'Ds_TRUEPX', 'Ds_TRUEPY', 'Ds_TRUEPZ', 'Ds_TRUEENERGY', 'Ds_TRUEORIGINVERTEX_X', 'Ds_TRUEORIGINVERTEX_Y', 'Ds_TRUEORIGINVERTEX_Z', 'Ds_TRUEENDVERTEX_X', 'Ds_TRUEENDVERTEX_Y', 'Ds_TRUEENDVERTEX_Z', 'Ds_BPVCORRMERR', 'Ds_BPVLTIME', 'pip_PROBNN_D', 'pip_PROBNN_MU', 'pip_TRUEP', 'pip_TRUEPT', 'pip_TRUEPX', 'pip_TRUEPY', 'pip_TRUEPZ', 'pip_TRUEENERGY', 'pip_BREMENERGY', 'pip_BREMBENDCORR', 'pip_BREMPIDE', 'pip_ECALPIDE', 'pip_ECALPIDMU', 'pip_HCALPIDE', 'pip_HCALPIDMU', 'pip_ELECTRONSHOWEREOP', 'pip_ELECTRONSHOWERDLL', 'pip_ELECTRONMATCH_CHI2', 'pip_BREMHYPOMATCH_CHI2', 'pip_ELECTRONENERGY', 'pip_BREMHYPOENERGY', 'pip_BREMHYPODELTAX', 'pip_BREMTRACKBASEDENERGY', 'pip_HCALEOP']
 l_branches_with_nans += ["B0_TRUEPRIMARYVERTEX_X", "B0_TRUEPRIMARYVERTEX_Y", "B0_TRUEPRIMARYVERTEX_Z", "Kaon_TRUEPRIMARYVERTEX_X", "Kaon_TRUEPRIMARYVERTEX_Y", "Kaon_TRUEPRIMARYVERTEX_Z"]
 l_branches_with_nans += ["Ds_TRUEPRIMARYVERTEX_X", "Ds_TRUEPRIMARYVERTEX_Y", "Ds_TRUEPRIMARYVERTEX_Z", "pip_TRUEPRIMARYVERTEX_X", "pip_TRUEPRIMARYVERTEX_Y", "pip_TRUEPRIMARYVERTEX_Z"]
 l_branches_with_nans += ["Kaon_IS_NOT_H","Kaon_IS_PHOTON","Kaon_SHOWER_SHAPE","pip_IS_NOT_H","pip_IS_PHOTON","pip_SHOWER_SHAPE"]

DaVinciTutorials/tests/qmtest/test_tutorial3_ThOrfunctors.qmt

@@ -50,10 +50,8 @@ if df.shape != (41, 26):
 # Check there are no NaN values in the ntuple except where expected.
 from DaVinciTests.QMTest.check_helpers import list_fields_with_nan
 
-l_branches_with_nans = ['Bs_phi_mass_kk', 'Bs_phi_mass_kpi']  # MASSWITHHYPOTHESES variables
-
 l_test = list_fields_with_nan(ntuple.name, "TDirectoryName/TTreeName")
-if sorted(l_test) != sorted(l_branches_with_nans):
+if len(l_test) > 0:
     causes.append("Unexpected list of branches with NaN values")