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Commit cff536bc authored by Patrick Koppenburg's avatar Patrick Koppenburg :leaves:
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Merge branch 'AM_update_tuple_examples' into 'master' 

Update the tuple examples

See merge request !558
parents aeda4b8b 875f252d
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2 merge requests!1103Draft: Add AnalysisHelpers to DaVinci Stack,!558Update the tuple examples
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    DaVinciExamples/python/DaVinciExamples/tupling/example-tupling-advanced-run-mc.py
    + 81
    − 72
    View file @ cff536bc
    ......@@ -14,91 +14,100 @@ Example of a typical DaVinci job:
    - tuple of the selected candidates
    This example is meant to be run with
    $ ./run davinci run-mc --testfiledb Upgrade_Bd2KstarMuMu $DAVINCIROOT/options/DaVinciDB-Example.yaml --user_algorithms example-tupling-advanced-run-mc:main
    $ ./run davinci run-mc --inputfiledb Upgrade_Bd2KstarMuMu_ldst $DAVINCIROOT/options/DaVinciDB-Example.yaml --user_algorithms example-tupling-advanced-run-mc:main
    """
    __author__ = "Davide Fazzini"
    __author__ = "Davide Fazzini, Abhijit Mathad"
    __date__ = "2021-06-18"
    import Functors as F
    from PyConf.Algorithms import FunTuple_Particles as FunTuple
    from DaVinci.standard_particles import make_detached_mumu, make_KsDD
    from DaVinci.reco_objects import upfront_reconstruction_from_file as upfront_reconstruction
    from FunTuple import ParticleTupleProp, convert_to_parsable_objs
    # Define an helper function for creating the tuple
    def CreateSimpleTuple(name, tree_name, parsable_objs, loki_preamble, inputs):
    ftup = FunTuple(
    name=name,
    tree_name=tree_name,
    branch_names_prefix=parsable_objs[0],
    decay_descriptors=parsable_objs[1],
    loki_functors=parsable_objs[2][0],
    loki_functor_branch_names=parsable_objs[2][1],
    thor_functors=parsable_objs[3][0],
    thor_functor_branch_names=parsable_objs[3][1],
    loki_preamble=loki_preamble,
    input_location=inputs)
    return ftup
    from FunTuple import FunctorCollection
    from FunTuple import FunTuple_Particles as Funtuple
    from FunTuple.NewTupleTools import Kinematics
    # Prepare the node with the selection
    dimuons = make_detached_mumu()
    kshorts = make_KsDD()
    '''
    Tuple observables related to Jpsi -> mu+ mu-
    '''
    #FunTuple: make branches to tuple (NB: adding a special keyword 'ALL' with throw an error)
    branches = {}
    branches['Jpsi'] = 'J/psi(1S) -> mu+ mu-'
    branches['MuPlus'] = 'J/psi(1S) -> ^mu+ mu-'
    #FunTuple: define list of preambles for loki
    loki_preamble = ['TRACK_MAX_PT = MAXTREE(ISBASIC & HASTRACK, PT, -1)']
    #FunTuple: Jpsi info
    ParticleJpsi = ParticleTupleProp(
    branch_name_prefix="Jpsi",
    decay_descriptor="J/psi(1S) -> mu+ mu-",
    #Dict -> {name:functor}
    particle_code_loki={
    'LOKI_P': 'P',
    'LOKI_PT': 'PT',
    'LOKI_Muonp_PT': 'CHILD(PT, 1)',
    'LOKI_Muonm_PT': 'CHILD(PT, 2)',
    'LOKI_MAXPT': 'TRACK_MAX_PT',
    'LOKI_N_HIHGPT_TRCKS': 'NINTREE(ISBASIC & HASTRACK & (PT > 1500*MeV))'
    },
    particle_code_thor={
    'THOR_P': F.P,
    'THOR_PT': F.PT
    })
    #FunTuple: make collection of functors for Jpsi
    variables_jpsi = FunctorCollection({
    'LOKI_P':
    'P',
    'LOKI_MAXPT':
    'TRACK_MAX_PT',
    'LOKI_NTRCKS_ABV_THRSHLD':
    'NINTREE(ISBASIC & (PT > 15*MeV))',
    'LOKI_Muonp_PT':
    'CHILD(PT, 1)',
    'LOKI_Muonm_PT':
    'CHILD(PT, 2)',
    'THOR_PT':
    F.PT
    })
    #FunTuple: extend the collection given dictionary
    #In case of common entries (i.e. common key and not functor code) the program warns user and overwrites the previous entry
    variables_jpsi.extend({
    'LOKI_PT': 'PT'
    }) #OR like dictionaries can do variables_jpsi['LOKI_PT'] = 'PT'
    #FunTuple: Remove from collection given the list of variable names
    variables_jpsi.remove(['THOR_PT', 'LOKI_P'])
    #FunTuple: Join two functor
    #If entries already exist user is warned about picking entries from the base instance.
    variables_extra = FunctorCollection({'LOKI_PT': 'PT', 'THOR_P': F.P})
    variables_jpsi += variables_extra
    #FunTuple: Can also subtract two FunctorCollection to get unique entries like below
    #variables_unique = variables_jpsi - variables_extra
    print('Variables in Jpsi branch', variables_jpsi)
    #FunTuple: make functor collection from the imported functor library Kinematics
    variables_all = FunctorCollection(Kinematics)
    print('Variables in ALL branch', variables_all)
    print('Variables in MuPlus branch', variables_extra)
    #FunTuple: Mu plus info: Can also muon and make a seperate ParticleTupleProp object
    ParticleMuPlus = ParticleTupleProp(
    branch_name_prefix="MuPlus",
    decay_descriptor="J/psi(1S) -> ^mu+ mu-",
    particle_code_loki={'LOKI_P': 'P'},
    particle_code_thor={'THOR_P': F.P})
    #FunTuple: associate functor collections to branch name
    variables = {}
    variables['ALL'] = variables_all #adds variables to all branches
    variables['Jpsi'] = variables_jpsi
    variables['MuPlus'] = variables_extra
    #FunTuple: Do not need to do this if a custom gaudi property for ParticleTupleProp is implemented
    parsable_objs_dimuons = convert_to_parsable_objs(
    [ParticleJpsi, ParticleMuPlus])
    ftup_dimuons = CreateSimpleTuple("DimuonsTuple", "DecayTree",
    parsable_objs_dimuons, loki_preamble, dimuons)
    #FunTuple: define list of preambles for loki
    loki_preamble = ['TRACK_MAX_PT = MAXTREE(ISBASIC & HASTRACK, PT, -1)']
    ParticleKS = ParticleTupleProp(
    branch_name_prefix="Ks",
    decay_descriptor="KS0 -> pi+ pi-",
    #Dict -> {name:functor}
    particle_code_loki={
    'LOKI_P': 'P',
    'LOKI_PT': 'PT',
    'LOKI_Muonp_PT': 'CHILD(PT, 1)',
    'LOKI_Muonm_PT': 'CHILD(PT, 2)',
    'LOKI_MAXPT': 'TRACK_MAX_PT',
    'LOKI_N_HIHGPT_TRCKS': 'NINTREE(ISBASIC & HASTRACK & (PT > 1500*MeV))'
    },
    particle_code_thor={
    'THOR_P': F.P,
    'THOR_PT': F.PT
    })
    parsable_objs_kshorts = convert_to_parsable_objs([ParticleKS])
    ftup_kshorts = CreateSimpleTuple("KsTuple", "DecayTree", parsable_objs_kshorts,
    loki_preamble, kshorts)
    #FunTuple: Configure Funtuple algorithm
    tuple_dimuons = Funtuple(
    name="DimuonsTuple",
    tree_name="DecayTree",
    branches=branches,
    variables=variables,
    loki_preamble=loki_preamble,
    inputs=dimuons)
    '''
    Tuple observables related to KS0 -> 2pi
    '''
    #FunTuple: As above make branches
    branches_KS = {}
    branches_KS['KS'] = 'KS0 -> pi+ pi-'
    #FunTuple: Associate the functor collections to branch names
    variables_KS = {}
    variables_KS['ALL'] = variables_all
    variables_KS['KS'] = variables_jpsi
    #FunTuple: Configure Funtuple algorithm
    tuple_kshorts = Funtuple(
    name="KsTuple",
    tree_name="DecayTree",
    branches=branches_KS,
    variables=variables_KS,
    loki_preamble=loki_preamble,
    inputs=kshorts)
    def main():
    ......@@ -112,7 +121,7 @@ def main():
    tools = []
    algs = {
    "Reco": upfront_reconstruction(),
    "DiMuons": upfront_reconstruction() + [dimuons, ftup_dimuons],
    "KShorts": upfront_reconstruction() + [kshorts, ftup_kshorts]
    "DiMuons": upfront_reconstruction() + [dimuons, tuple_dimuons],
    "KShorts": upfront_reconstruction() + [kshorts, tuple_kshorts]
    }
    return algs, tools
    DaVinciExamples/python/DaVinciExamples/tupling/example-tupling-basic-run-mc.py
    + 45
    − 50
    View file @ cff536bc
    ......@@ -14,73 +14,68 @@ Example of a typical DaVinci job:
    - tuple of the selected candidates
    This example is meant to be run with
    $ ./run davinci run-mc --simplejob --testfiledb Upgrade_Bd2KstarMuMu --joboptfile example-tupling-basic.yaml --user_algorithms example-tupling-basic-run-mc:main
    $ ./run davinci run-mc --simplejob --inputfiledb Upgrade_Bd2KstarMuMu --joboptfile example-tupling-basic.yaml --user_algorithms example-tupling-basic-run-mc:main
    """
    __author__ = "Maurizio Martinelli"
    __author__ = "Maurizio Martinelli, Abhijit Mathad"
    __date__ = "2021-05-03"
    import Functors as F
    from PyConf.Algorithms import FunTuple_Particles as FunTuple
    from DaVinci.standard_particles import make_detached_mumu
    from DaVinci.reco_objects import upfront_reconstruction_from_file as upfront_reconstruction
    from FunTuple import ParticleTupleProp, convert_to_parsable_objs
    from FunTuple import FunctorCollection
    from FunTuple import FunTuple_Particles as Funtuple
    # Prepare the node with the selection
    dimuons = make_detached_mumu()
    # Define a helper function to create the FunTuple instance
    def CreateSimpleTuple(name, tree_name, parsable_objs, loki_preamble, inputs):
    ftup = FunTuple(
    name=name,
    tree_name=tree_name,
    branch_names_prefix=parsable_objs[0],
    decay_descriptors=parsable_objs[1],
    loki_functors=parsable_objs[2][0],
    loki_functor_branch_names=parsable_objs[2][1],
    thor_functors=parsable_objs[3][0],
    thor_functor_branch_names=parsable_objs[3][1],
    loki_preamble=loki_preamble,
    input_location=inputs)
    return ftup
    #FunTuple: Jpsi info
    branches = {}
    branches['Jpsi'] = 'J/psi(1S) -> mu+ mu-'
    branches['MuPlus'] = 'J/psi(1S) -> ^mu+ mu-'
    #make collection of functors for Jpsi
    variables_jpsi = FunctorCollection({
    'LOKI_P':
    'P',
    'LOKI_PT':
    'PT',
    'LOKI_Muonp_PT':
    'CHILD(PT, 1)',
    'LOKI_Muonm_PT':
    'CHILD(PT, 2)',
    'LOKI_MAXPT':
    'TRACK_MAX_PT',
    'LOKI_N_HIGHPT_TRCKS':
    'NINTREE(ISBASIC & HASTRACK & (PT > 1500*MeV))',
    'THOR_P':
    F.P,
    'THOR_PT':
    F.PT
    })
    # Prepare the node with the selection
    dimuons = make_detached_mumu()
    #make collection of functors for Muplus
    variables_muplus = FunctorCollection({'LOKI_P': 'P', 'THOR_P': F.P})
    #associate FunctorCollection to branch name
    variables = {}
    variables['Jpsi'] = variables_jpsi
    variables['MuPlus'] = variables_muplus
    #FunTuple: define list of preambles for loki
    loki_preamble = ['TRACK_MAX_PT = MAXTREE(ISBASIC & HASTRACK, PT, -1)']
    #FunTuple: Jpsi info
    ParticleJpsi = ParticleTupleProp(
    branch_name_prefix="Jpsi",
    decay_descriptor="J/psi(1S) -> mu+ mu-",
    #Dict -> {name:functor}
    particle_code_loki={
    'LOKI_P': 'P',
    'LOKI_PT': 'PT',
    'LOKI_Muonp_PT': 'CHILD(PT, 1)',
    'LOKI_Muonm_PT': 'CHILD(PT, 2)',
    'LOKI_MAXPT': 'TRACK_MAX_PT',
    'LOKI_N_HIHGPT_TRCKS': 'NINTREE(ISBASIC & HASTRACK & (PT > 1500*MeV))'
    },
    particle_code_thor={
    'THOR_P': F.P,
    'THOR_PT': F.PT
    })
    #FunTuple: Mu plus info: Can also muon and make a seperate ParticleTupleProp object
    ParticleMuPlus = ParticleTupleProp(
    branch_name_prefix="MuPlus",
    decay_descriptor="J/psi(1S) -> ^mu+ mu-",
    particle_code_loki={'LOKI_P': 'P'},
    particle_code_thor={'THOR_P': F.P})
    #FunTuple: Do not need to do this if a custom gaudi property for ParticleTupleProp is implemented
    parsable_objs_dimuons = convert_to_parsable_objs(
    [ParticleJpsi, ParticleMuPlus])
    ftup_dimuons = CreateSimpleTuple("DimuonsTuple", "DecayTree",
    parsable_objs_dimuons, loki_preamble, dimuons)
    #Configure Funtuple algorithm
    tuple_dimuons = Funtuple(
    name="DimuonsTuple",
    tree_name="DecayTree",
    branches=branches,
    variables=variables,
    loki_preamble=loki_preamble,
    inputs=dimuons)
    def main():
    tools = []
    algs = upfront_reconstruction() + [dimuons, ftup_dimuons]
    algs = upfront_reconstruction() + [dimuons, tuple_dimuons]
    return algs, tools
    DaVinciExamples/python/DaVinciExamples/tupling/example-tupling-basic.py
    + 61
    − 71
    View file @ cff536bc
    ......@@ -15,15 +15,15 @@ Example of a typical DaVinci job:
    - tuple of the selected candidates
    """
    __author__ = "Maurizio Martinelli"
    __author__ = "Maurizio Martinelli, Abhijit Mathad"
    __date__ = "2021-03-16"
    from DaVinci import options, run_davinci
    from DaVinci.standard_particles import make_detached_mumu, make_KsDD
    from DaVinci.reco_objects import upfront_reconstruction_from_file as upfront_reconstruction
    import Functors as F
    from PyConf.Algorithms import FunTuple_Particles as FunTuple
    from FunTuple import ParticleTupleProp, convert_to_parsable_objs
    from FunTuple import FunctorCollection
    from FunTuple import FunTuple_Particles as Funtuple
    # print control flow and data flow graphs
    options.control_flow_file = 'control_flow.gv'
    ......@@ -44,79 +44,69 @@ print(options)
    dimuons = make_detached_mumu()
    kshorts = make_KsDD()
    # Add FUNTuples
    def CreateSimpleTuple(name, tree_name, parsable_objs, loki_preamble, inputs):
    ftup = FunTuple(
    name=name,
    tree_name=tree_name,
    branch_names_prefix=parsable_objs[0],
    decay_descriptors=parsable_objs[1],
    loki_functors=parsable_objs[2][0],
    loki_functor_branch_names=parsable_objs[2][1],
    thor_functors=parsable_objs[3][0],
    thor_functor_branch_names=parsable_objs[3][1],
    loki_preamble=loki_preamble,
    input_location=inputs)
    return ftup
    #FunTuple: make branches to tuple
    branches = {}
    branches['Jpsi'] = 'J/psi(1S) -> mu+ mu-'
    branches['MuPlus'] = 'J/psi(1S) -> ^mu+ mu-'
    #FunTuple: make collection of functors for Jpsi
    variables_jpsi = FunctorCollection({
    'LOKI_P':
    'P',
    'LOKI_PT':
    'PT',
    'LOKI_Muonp_PT':
    'CHILD(PT, 1)',
    'LOKI_Muonm_PT':
    'CHILD(PT, 2)',
    'LOKI_MAXPT':
    'TRACK_MAX_PT',
    'LOKI_N_HIGHPT_TRCKS':
    'NINTREE(ISBASIC & HASTRACK & (PT > 1500*MeV))',
    'THOR_P':
    F.P,
    'THOR_PT':
    F.PT
    })
    #FunTuple: make collection of functors for Muplus
    variables_muplus = FunctorCollection({'LOKI_P': 'P', 'THOR_P': F.P})
    #FunTuple: associate functor collections to branch name
    variables = {}
    variables['Jpsi'] = variables_jpsi
    variables['MuPlus'] = variables_muplus
    #FunTuple: define list of preambles for loki
    loki_preamble = ['TRACK_MAX_PT = MAXTREE(ISBASIC & HASTRACK, PT, -1)']
    #FunTuple: Jpsi info
    ParticleJpsi = ParticleTupleProp(
    branch_name_prefix="Jpsi",
    decay_descriptor="J/psi(1S) -> mu+ mu-",
    #Dict -> {name:functor}
    particle_code_loki={
    'LOKI_P': 'P',
    'LOKI_PT': 'PT',
    'LOKI_Muonp_PT': 'CHILD(PT, 1)',
    'LOKI_Muonm_PT': 'CHILD(PT, 2)',
    'LOKI_MAXPT': 'TRACK_MAX_PT',
    'LOKI_N_HIHGPT_TRCKS': 'NINTREE(ISBASIC & HASTRACK & (PT > 1500*MeV))'
    },
    particle_code_thor={
    'THOR_P': F.P,
    'THOR_PT': F.PT
    })
    #FunTuple: Mu plus info: Can also muon and make a seperate ParticleTupleProp object
    ParticleMuPlus = ParticleTupleProp(
    branch_name_prefix="MuPlus",
    decay_descriptor="J/psi(1S) -> ^mu+ mu-",
    particle_code_loki={'LOKI_P': 'P'},
    particle_code_thor={'THOR_P': F.P})
    #FunTuple: Do not need to do this if a custom gaudi property for ParticleTupleProp is implemented
    parsable_objs_dimuons = convert_to_parsable_objs(
    [ParticleJpsi, ParticleMuPlus])
    ftup_dimuons = CreateSimpleTuple("DimuonsTuple", "DecayTree",
    parsable_objs_dimuons, loki_preamble, dimuons)
    ParticleKS = ParticleTupleProp(
    branch_name_prefix="Ks",
    decay_descriptor="KS0 -> pi+ pi-",
    #Dict -> {name:functor}
    particle_code_loki={
    'LOKI_P': 'P',
    'LOKI_PT': 'PT',
    'LOKI_Muonp_PT': 'CHILD(PT, 1)',
    'LOKI_Muonm_PT': 'CHILD(PT, 2)',
    'LOKI_MAXPT': 'TRACK_MAX_PT',
    'LOKI_N_HIHGPT_TRCKS': 'NINTREE(ISBASIC & HASTRACK & (PT > 1500*MeV))'
    },
    particle_code_thor={
    'THOR_P': F.P,
    'THOR_PT': F.PT
    })
    parsable_objs_kshorts = convert_to_parsable_objs([ParticleKS])
    ftup_kshorts = CreateSimpleTuple("KsTuple", "DecayTree", parsable_objs_kshorts,
    loki_preamble, kshorts)
    #FunTuple: Configure Funtuple algorithm
    tuple_dimuons = Funtuple(
    name="DimuonsTuple",
    tree_name="DecayTree",
    branches=branches,
    variables=variables,
    loki_preamble=loki_preamble,
    inputs=dimuons)
    #FunTuple: similarly for Ks we can make branches, functor collections, variables and FunTuple instance
    branches_KS = {}
    branches_KS['KS'] = 'KS0 -> pi+ pi-'
    #associate the functor collections to KS branch name (NB: here we use functor collection used for jpsi)
    variables_KS = {}
    variables_KS['KS'] = variables_jpsi
    #funtuple instance
    tuple_kshorts = Funtuple(
    name="KsTuple",
    tree_name="DecayTree",
    branches=branches_KS,
    variables=variables_KS,
    loki_preamble=loki_preamble,
    inputs=kshorts)
    algs = {
    'DiMuons': upfront_reconstruction() + [dimuons, ftup_dimuons],
    'KShorts': upfront_reconstruction() + [kshorts, ftup_kshorts]
    'DiMuons': upfront_reconstruction() + [dimuons, tuple_dimuons],
    'KShorts': upfront_reconstruction() + [kshorts, tuple_kshorts]
    }
    run_davinci(options, algs)
    DaVinciTests/tests/qmtest/davinci.qms/test_davinci_tupling_advanced.qmt
    + 2
    − 8
    View file @ cff536bc
    ......@@ -36,15 +36,9 @@
    <argument name="validator"><text>
    findReferenceBlock("""DimuonsTuple SUCCESS Booked 1 N-Tuples and 0 Event Tag Collections
    DimuonsTuple SUCCESS List of booked N-Tuples in directory "FILE1/DimuonsTuple"
    DimuonsTuple SUCCESS ID=DecayTree Title="DecayTree" #items=10 {Jpsi_LOKI_P,Jpsi_LOKI_PT,Jpsi_LOKI_Muonp_PT,Jpsi_LOKI_Muonm_PT,Jpsi_LOKI_MAXPT,Jp}
    DimuonsTuple SUCCESS ID=DecayTree Title="DecayTree" #items=24 {Jpsi_LOKI_MAXPT,Jpsi_LOKI_NTRCKS_ABV_THRSHLD,Jpsi_LOKI_Muonp_PT,Jpsi_LOKI_Muonm_P}
    KsTuple SUCCESS Booked 1 N-Tuples and 0 Event Tag Collections
    KsTuple SUCCESS List of booked N-Tuples in directory "FILE1/KsTuple"
    KsTuple SUCCESS ID=DecayTree Title="DecayTree" #items=8 {Ks_LOKI_P,Ks_LOKI_PT,Ks_LOKI_Muonp_PT,Ks_LOKI_Muonm_PT,Ks_LOKI_MAXPT,Ks_LOKI_N_HI}
    """, stdout, result, causes, signature_offset = 0, id = "Stream3")
    KsTuple SUCCESS ID=DecayTree Title="DecayTree" #items=14 {KS_LOKI_MAXPT,KS_LOKI_NTRCKS_ABV_THRSHLD,KS_LOKI_Muonp_PT,KS_LOKI_Muonm_PT,KS_LOK}""")
    </text></argument>
    <argument name="validator"><text>
    from DaVinciTests.QMTest.DaVinciExclusions import preprocessor
    validateWithReference(preproc = preprocessor)
    countErrorLines({"FATAL":0})
    </text></argument>
    </extension>
    DaVinciTests/tests/refs/test_davinci_tupling.ref
    + 2
    − 2
    View file @ cff536bc
    ......@@ -59,7 +59,7 @@ RootHistSvc INFO Writing ROOT histograms to: DV-examp
    HistogramPersistencySvc INFO Added successfully Conversion service:RootHistSvc
    UnpackChargedProtos.ChargedProto... INFO Using retuned RICH el and mu DLL values in combined DLLs
    FunctionalParticleMaker.LoKi::Hy... INFO CUT: ' ( (TrTYPE==3) &TrALL) '
    DimuonsTuple INFO Initialising the FunTuple algorithm
    DimuonsTuple INFO Initialising the FunTupleBase algorithm
    DimuonsTuple INFO Conducting checks with LoKi
    DimuonsTuple INFO Conducting checks with ThOr
    DimuonsTuple INFO Setting the properties of ParticleTupleProp objects!
    ......@@ -117,7 +117,7 @@ LAZY_AND: DaVinci #=10 Sum=10
    UnpackProtoParticle/UnpackNeutralProtos #=10 Sum=10 Eff=|( 100.0000 +- 0.00000 )%|
    UnpackProtoParticle/UnpackChargedProtos #=10 Sum=10 Eff=|( 100.0000 +- 0.00000 )%|
    CombineParticles/CombineParticles #=10 Sum=3 Eff=|( 30.00000 +- 14.4914 )%|
    FunTuple_Particles/DimuonsTuple #=3 Sum=3 Eff=|( 100.0000 +- 0.00000 )%|
    FunTupleBase_Particles/DimuonsTuple #=3 Sum=3 Eff=|( 100.0000 +- 0.00000 )%|
    LAZY_AND: WriteFSR #=10 Sum=10 Eff=|( 100.0000 +- 0.00000 )%|
    RecordStream/FSROutputStreamDstWriter #=10 Sum=10 Eff=|( 100.0000 +- 0.00000 )%|
    ToolSvc INFO Removing all tools created by ToolSvc
    ......
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