diff options
| author | Shivesh Mandalia <shivesh.mandalia@outlook.com> | 2020-02-28 22:38:40 +0000 |
|---|---|---|
| committer | Shivesh Mandalia <shivesh.mandalia@outlook.com> | 2020-02-28 22:38:40 +0000 |
| commit | 018cf806e2d852df164b0c795d4e3ffcd122dda0 (patch) | |
| tree | 08efc6310ae929d60d9c9881b40a0b337da8841d /golemflavor/gf.py | |
| parent | 4707f109e2bc35c6e6f6b737607323c0a5931e48 (diff) | |
| download | GolemFlavor-018cf806e2d852df164b0c795d4e3ffcd122dda0.tar.gz GolemFlavor-018cf806e2d852df164b0c795d4e3ffcd122dda0.zip | |
add brackets to all print statements
Diffstat (limited to 'golemflavor/gf.py')
| -rw-r--r-- | golemflavor/gf.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/golemflavor/gf.py b/golemflavor/gf.py index fbabd49..252e706 100644 --- a/golemflavor/gf.py +++ b/golemflavor/gf.py @@ -16,7 +16,7 @@ import numpy as np try: import GolemFitPy as gf except: - print 'Running without GolemFit' + print('Running without GolemFit') pass from golemflavor.enums import DataType, Likelihood, SteeringCateg @@ -53,8 +53,8 @@ def fit_flags(llh_paramset): gf_nuisance = [] for param in llh_paramset: if param.name in default_flags: - print 'Setting param {0:<15} to float in the ' \ - 'minimisation'.format(param.name) + print('Setting param {0:<15} to float in the ' \ + 'minimisation'.format(param.name)) flags.__setattr__(param.name, False) gf_nuisance.append(param) return flags, ParamSet(gf_nuisance) @@ -85,7 +85,7 @@ def steering_params(args): def setup_asimov(params): - print 'Injecting the model', params + print('Injecting the model', params) asimov_params = gf.FitParameters(gf.sampleTag.MagicTau) for parm in params: asimov_params.__setattr__(parm.name, float(parm.value)) @@ -93,7 +93,7 @@ def setup_asimov(params): def setup_realisation(params, seed): - print 'Injecting the model', params + print('Injecting the model', params) asimov_params = gf.FitParameters(gf.sampleTag.MagicTau) for parm in params: asimov_params.__setattr__(parm.name, float(parm.value)) @@ -112,7 +112,7 @@ def setup_fitter(args, asimov_paramset): seed = args.seed if args.seed is not None else 1 setup_realisation(FITTER, asimov_paramset, seed) elif args.data is DataType.REAL: - print 'Using MagicTau DATA' + print('Using MagicTau DATA') def get_llh(params): @@ -124,7 +124,7 @@ def get_llh(params): def get_llh_freq(params): - print 'setting to {0}'.format(params) + print('setting to {0}'.format(params)) fitparams = gf.FitParameters(gf.sampleTag.MagicTau) for parm in params: fitparams.__setattr__(parm.name, float(parm.value)) |