def getWhizardModel(self, nbevts, energy, model):
""" Create a default whizard
"""
from ILCDIRAC.Interfaces.API.NewInterface.Applications import Whizard
proddict = "e2e2_o"
if model != "sm":
proddict = "se2se2_r"
whiz = Whizard(processlist=self.diracInstance.getProcessList())
whiz.setModel(model)
pdict = {}
pdict['process_input'] = {}
pdict['process_input']['process_id'] = proddict
pdict['process_input']['sqrts'] = energy
if model != 'sm':
pdict['process_input']['input_file'] = "LesHouches.msugra_1"
pdict['process_input']['input_slha_format'] = 'T'
pdict['process_input']['beam_recoil'] = 'T'
pdict['integration_input'] = {}
pdict['integration_input']['calls'] = '1 50000 10 5000 1 15000'
pdict['simulation_input'] = {}
pdict['simulation_input']['normalize_weight'] = 'F'
pdict['simulation_input']['n_events'] = nbevts
pdict['simulation_input']['keep_initials'] = 'T'
pdict['simulation_input']['events_per_file'] = 500000
if model != 'sm':
pdict['simulation_input'][
'pythia_parameters'] = "PMAS(25,1)=125; PMAS(25,2)=0.3605E-02; MSTU(22)=20 ;PARJ(21)=0.40000;PARJ(41)=0.11000; PARJ(42)=0.52000; PARJ(81)=0.25000; PARJ(82)=1.90000; MSTJ(11)=3; PARJ(54)=-0.03100; PARJ(55)=-0.00200;PARJ(1)=0.08500; PARJ(3)=0.45000; PARJ(4)=0.02500; PARJ(2)=0.31000; PARJ(11)=0.60000; PARJ(12)=0.40000; PARJ(13)=0.72000;PARJ(14)=0.43000; PARJ(15)=0.08000; PARJ(16)=0.08000; PARJ(17)=0.17000; MSTP(3)=1;IMSS(1)=11; IMSS(21)=71; IMSS(22)=71"
else:
pdict['simulation_input'][
'pythia_parameters'] = "PMAS(25,1)=125; PMAS(25,2)=0.3605E-02; MSTU(22)=20 ; MSTJ(28)=2 ;PARJ(21)=0.40000;PARJ(41)=0.11000; PARJ(42)=0.52000; PARJ(81)=0.25000; PARJ(82)=1.90000; MSTJ(11)=3; PARJ(54)=-0.03100; PARJ(55)=-0.00200;PARJ(1)=0.08500; PARJ(3)=0.45000; PARJ(4)=0.02500; PARJ(2)=0.31000; PARJ(11)=0.60000; PARJ(12)=0.40000; PARJ(13)=0.72000;PARJ(14)=0.43000; PARJ(15)=0.08000; PARJ(16)=0.08000; PARJ(17)=0.17000; MSTP(3)=1"
pdict['parameter_input'] = {}
# pdict['parameter_input']['mmu']=mmu
# pdict['parameter_input']['mtau']=mtau
# pdict['parameter_input']['mb']=mb
# pdict['parameter_input']['mc']=mc
pdict['parameter_input']['mH'] = 125
pdict['beam_input_1'] = {}
pdict['beam_input_1']['particle_name'] = "e1"
pdict['beam_input_1']['polarization'] = "0.0 0.0"
pdict['beam_input_1']['USER_spectrum_on'] = 'T'
pdict['beam_input_1'][
'USER_spectrum_mode'] = 19 if energy == 1400 else 11
pdict['beam_input_1']['ISR_on'] = 'T'
pdict['beam_input_1']['EPA_on'] = "F"
pdict['beam_input_2'] = {}
pdict['beam_input_2']['particle_name'] = "E1"
pdict['beam_input_2']['polarization'] = "0.0 0.0"
pdict['beam_input_2']['USER_spectrum_on'] = 'T'
pdict['beam_input_2']['ISR_on'] = 'T'
pdict['beam_input_2'][
'USER_spectrum_mode'] = 19 if energy == 1400 else 11
pdict['beam_input_2']['EPA_on'] = 'F'
whiz.setFullParameterDict(pdict)
whiz.setOutputFile("testgen.stdhep")
return whiz
def getWhizardModel(self, nbevts, energy, model):
""" Create a default whizard
"""
from ILCDIRAC.Interfaces.API.NewInterface.Applications import Whizard
proddict = "e2e2_o"
if model != "sm":
proddict = "se2se2_r"
whiz = Whizard(processlist = self.diracInstance.getProcessList())
whiz.setModel(model)
pdict = {}
pdict['process_input'] = {}
pdict['process_input']['process_id'] = proddict
pdict['process_input']['sqrts'] = energy
if model != 'sm':
pdict['process_input']['input_file'] = "LesHouches.msugra_1"
pdict['process_input']['input_slha_format'] = 'T'
pdict['process_input']['beam_recoil'] = 'T'
pdict['integration_input'] = {}
pdict['integration_input']['calls'] = '1 50000 10 5000 1 15000'
pdict['simulation_input'] = {}
pdict['simulation_input']['normalize_weight'] = 'F'
pdict['simulation_input']['n_events'] = nbevts
pdict['simulation_input']['keep_initials'] = 'T'
pdict['simulation_input']['events_per_file'] = 500000
if model != 'sm':
pdict['simulation_input']['pythia_parameters'] = "PMAS(25,1)=125; PMAS(25,2)=0.3605E-02; MSTU(22)=20 ;PARJ(21)=0.40000;PARJ(41)=0.11000; PARJ(42)=0.52000; PARJ(81)=0.25000; PARJ(82)=1.90000; MSTJ(11)=3; PARJ(54)=-0.03100; PARJ(55)=-0.00200;PARJ(1)=0.08500; PARJ(3)=0.45000; PARJ(4)=0.02500; PARJ(2)=0.31000; PARJ(11)=0.60000; PARJ(12)=0.40000; PARJ(13)=0.72000;PARJ(14)=0.43000; PARJ(15)=0.08000; PARJ(16)=0.08000; PARJ(17)=0.17000; MSTP(3)=1;IMSS(1)=11; IMSS(21)=71; IMSS(22)=71"
else:
pdict['simulation_input']['pythia_parameters'] = "PMAS(25,1)=125; PMAS(25,2)=0.3605E-02; MSTU(22)=20 ; MSTJ(28)=2 ;PARJ(21)=0.40000;PARJ(41)=0.11000; PARJ(42)=0.52000; PARJ(81)=0.25000; PARJ(82)=1.90000; MSTJ(11)=3; PARJ(54)=-0.03100; PARJ(55)=-0.00200;PARJ(1)=0.08500; PARJ(3)=0.45000; PARJ(4)=0.02500; PARJ(2)=0.31000; PARJ(11)=0.60000; PARJ(12)=0.40000; PARJ(13)=0.72000;PARJ(14)=0.43000; PARJ(15)=0.08000; PARJ(16)=0.08000; PARJ(17)=0.17000; MSTP(3)=1"
pdict['parameter_input'] = {}
# pdict['parameter_input']['mmu']=mmu
# pdict['parameter_input']['mtau']=mtau
# pdict['parameter_input']['mb']=mb
# pdict['parameter_input']['mc']=mc
pdict['parameter_input']['mH'] = 125
pdict['beam_input_1'] = {}
pdict['beam_input_1']['particle_name'] = "e1"
pdict['beam_input_1']['polarization'] = "0.0 0.0"
pdict['beam_input_1']['USER_spectrum_on'] = 'T'
pdict['beam_input_1']['USER_spectrum_mode'] = 19 if energy == 1400 else 11
pdict['beam_input_1']['ISR_on'] = 'T'
pdict['beam_input_1']['EPA_on'] = "F"
pdict['beam_input_2'] = {}
pdict['beam_input_2']['particle_name'] = "E1"
pdict['beam_input_2']['polarization'] = "0.0 0.0"
pdict['beam_input_2']['USER_spectrum_on'] = 'T'
pdict['beam_input_2']['ISR_on'] = 'T'
pdict['beam_input_2']['USER_spectrum_mode'] = 19 if energy == 1400 else 11
pdict['beam_input_2']['EPA_on'] = 'F'
whiz.setFullParameterDict(pdict)
whiz.setOutputFile("testgen.stdhep")
return whiz
def setUp(self):
self.whiz = Whizard()
class TestWhizard(unittest.TestCase):
""" Tests the Whizard class """
EXPECTED_PRINTOUT = '&process_input\n process_id = ""\n cm_frame = T\n sqrts = 3000\n luminosity = 0\n polarized_beams = T\n structured_beams = T\n beam_recoil = F\n recoil_conserve_momentum = F\n filename = "whizard"\n directory = ""\n input_file = ""\n input_slha_format = F\n/\n&integration_input\n calls = 1 50000 10 50000 1 1500000\n seed = \n reset_seed_each_process = F\n accuracy_goal = 0\n efficiency_goal = 100\n time_limit_adaptation = 0\n stratified = T\n use_efficiency = F\n weights_power = 0.25\n min_bins = 3\n max_bins = 20\n min_calls_per_bin = 10\n min_calls_per_channel = 0\n write_grids = T\n write_grids_raw = F\n write_grids_file = ""\n write_all_grids = F\n write_all_grids_file = ""\n read_grids = F\n read_grids_raw = F\n read_grids_force = T\n read_grids_file = ""\n generate_phase_space = T\n read_model_file = ""\n write_phase_space_file = ""\n read_phase_space = T\n read_phase_space_file = ""\n phase_space_only = F\n use_equivalences = T\n azimuthal_dependence = F\n write_phase_space_channels_file = ""\n off_shell_lines = 1\n extra_off_shell_lines = 1\n splitting_depth = 1\n exchange_lines = 3\n show_deleted_channels = F\n single_off_shell_decays = T\n double_off_shell_decays = F\n single_off_shell_branchings = T\n double_off_shell_branchings = T\n massive_fsr = T\n threshold_mass = -10\n threshold_mass_t = -10\n default_jet_cut = 10\n default_mass_cut = 4\n default_energy_cut = 10\n default_q_cut = 4\n write_default_cuts_file = ""\n read_cuts_file = ""\n user_cut_mode = 0\n user_weight_mode = 0\n/\n&simulation_input\n n_events = 0\n n_calls = 0\n n_events_warmup = 0\n unweighted = T\n normalize_weight = T\n write_weights = F\n write_weights_file = ""\n safety_factor = 1\n write_events = T\n write_events_format = 20\n write_events_file = ""\n events_per_file = 5000000\n bytes_per_file = 0\n min_file_count = 1\n max_file_count = 999\n write_events_raw = F\n write_events_raw_file = ""\n read_events = F\n read_events_force = T\n read_events_raw_file = ""\n keep_beam_remnants = T\n keep_initials = T\n guess_color_flow = F\n recalculate = F\n fragment = T\n fragmentation_method = 3\n user_fragmentation_mode = 0\n pythia_parameters = "PMAS(25,1)=120.; PMAS(25,2)=0.3605E-02; MSTU(22)=20 ;MSTJ(28)=2 ;PARJ(21)=0.40000;PARJ(41)=0.11000; PARJ(42)=0.52000; PARJ(81)=0.25000; PARJ(82)=1.90000; MSTJ(11)=3; PARJ(54)=-0.03100; PARJ(55)=-0.00200;PARJ(1)=0.08500; PARJ(3)=0.45000; PARJ(4)=0.02500; PARJ(2)=0.31000; PARJ(11)=0.60000; PARJ(12)=0.40000; PARJ(13)=0.72000;PARJ(14)=0.43000; PARJ(15)=0.08000; PARJ(16)=0.08000; PARJ(17)=0.17000; MSTP(3)=1;"\n pythia_processes = ""\n shower = F\n shower_nf = 5\n shower_running_alpha_s = F\n shower_alpha_s = 0.2\n shower_lambda = 0.29\n shower_t_min = 1.0\n shower_md = 0.330\n shower_mu = 0.330\n shower_ms = 0.500\n shower_mc = 1.5\n shower_mb = 4.8\n/\n&diagnostics_input\n chattiness = 4\n catch_signals = T\n time_limit = 0\n warn_empty_channel = F\n screen_events = F\n screen_histograms = F\n screen_diagnostics = F\n show_pythia_banner = T\n show_pythia_initialization = T\n show_pythia_statistics = T\n write_logfile = T\n write_logfile_file = ""\n show_input = T\n show_results = T\n show_phase_space = F\n show_cuts = T\n show_histories = F\n show_history = T\n show_weights = T\n show_event = F\n show_histograms = F\n show_overflow = F\n show_excess = T\n read_analysis_file = ""\n plot_width = 130\n plot_height = 90\n plot_excess = T\n plot_history = T\n plot_grids_channels = ""\n plot_grids_logscale = 10\n slha_rewrite_input = T\n slha_ignore_errors = F\n/\n¶meter_input\n/\n&beam_input\n energy = 0\n angle = 0\n direction = 0 0 0\n vector_polarization = F\n polarization = 0.0 0.0\n particle_code = 0\n particle_name = "e1"\n USER_spectrum_on = T\n USER_spectrum_mode = 11\n ISR_on = T\n ISR_alpha = 0.0072993\n ISR_m_in = 0.000511\n ISR_LLA_order = 3\n ISR_map = T\n EPA_on = F\n EPA_map = T\n EPA_alpha = 0.0072993\n EPA_m_in = 0.000511\n EPA_mX = 4\n EPA_Q_max = 4\n EPA_x0 = 0\n EPA_x1 = 0\n/\n&beam_input\n energy = 0\n angle = 0\n direction = 0 0 0\n vector_polarization = F\n polarization = 0.0 0.0\n particle_code = 0\n particle_name = "E1"\n USER_spectrum_on = T\n USER_spectrum_mode = -11\n ISR_on = T\n ISR_alpha = 0.0072993\n ISR_m_in = 0.000511\n ISR_LLA_order = 3\n ISR_map = T\n EPA_on = F\n EPA_map = T\n EPA_alpha = 0.0072993\n EPA_m_in = 0.000511\n EPA_mX = 4\n EPA_Q_max = 4\n EPA_x0 = 0\n EPA_x1 = 0\n/'
def setUp(self):
self.whiz = Whizard()
def test_getters(self):
from ILCDIRAC.Core.Utilities.WhizardOptions import WhizardOptions
expected_pdict = {
'OK': True,
'Value': {
'integration_input': {},
'simulation_input': {},
'diagnostics_input': {},
'process_input': {},
'beam_input_1': {},
'beam_input_2': {}
}
}
pdict = self.whiz.getPDict()
self.whiz.setEvtType('myevent_test')
self.assertIsNotNone(pdict)
self.whiz.setGlobalEvtType('test_myglobalevt')
self.whiz.setLuminosity(138.312)
self.whiz.setRandomSeed(9024)
self.whiz.setParameterDict({
'mytestval': True,
'more_entres': 'value',
'something': 9103
})
self.whiz.setGeneratorLevelCuts({
'generator': False,
'cuts': 123,
'level': 'OK'
})
assert not self.whiz.willBeCut
self.whiz.willCut()
assert not self.whiz.useGridFiles
self.whiz.usingGridFiles()
self.whiz.setJobIndex('mytestJobIndexS&P500')
self.whiz.setModel('mytestSModel')
self.whiz._wo = WhizardOptions(self.whiz.model)
with patch('__builtin__.open', mock_open(), create=True) as mo:
self.whiz.addedtojob = True
self.whiz.dumpWhizardDotIn('someFile.in')
self.whiz.addedtojob = False
mo.assert_called_once_with('someFile.in', 'w')
assertMockCalls(mo().write, [TestWhizard.EXPECTED_PRINTOUT, '\n'],
self)
assertEqualsImproved(
(pdict, self.whiz.eventType, self.whiz.globalEventType,
self.whiz.luminosity, self.whiz.randomSeed,
self.whiz.parameterDict, self.whiz.generatorLevelCuts,
self.whiz.willBeCut, self.whiz.useGridFiles, self.whiz.jobIndex,
self.whiz.model),
(expected_pdict, 'myevent_test', 'test_myglobalevt', 138.312, 9024,
{
'mytestval': True,
'more_entres': 'value',
'something': 9103
}, {
'generator': False,
'cuts': 123,
'level': 'OK'
}, True, True, 'mytestJobIndexS&P500', 'mytestSModel'), self)
assert not self.whiz._errorDict
def test_setevttype_nostring(self):
assert not self.whiz._errorDict
self.whiz.setEvtType(123)
assertEqualsImproved(self.whiz.eventType, 123, self)
assert self.whiz._errorDict
def test_setevttype_already_added(self):
self.whiz.addedtojob = True
assertDiracFailsWith( self.whiz.setEvtType( 'myothertestevent' ), \
'cannot modify', self )
def test_dumpwhizarddotin(self):
assert not self.whiz._errorDict
self.whiz.dumpWhizardDotIn()
assert self.whiz._errorDict
def test_setfullparamdict(self):
self.whiz.setFullParameterDict({
'some_entry': True,
'myParamDict': {},
123: 2
})
assert not self.whiz._errorDict
assertEqualsImproved(self.whiz.fullParameterDict, {
'some_entry': True,
'myParamDict': {},
123: 2
}, self)
def test_setfullparamdict_wrongtype(self):
assert not self.whiz._errorDict
self.whiz.setFullParameterDict('eihnff')
assert self.whiz._errorDict
def test_checkconsistency(self):
self.whiz.setFullParameterDict({
'process_input': {
'process_id': 'myprocessid',
'sqrts': 81
},
'simulation_input': {
'n_events': 41
}
})
plist_mock = Mock()
plist_mock.existsProcess.return_value = S_OK(True)
plist_mock.getCSPath.return_value = 'some_dir/some_cs_path/whizardv874.tgz'
self.whiz._processlist = plist_mock
self.whiz._generatormodels.models['sm'] = True
assertDiracSucceeds(self.whiz._checkConsistency(), self)
def test_checkconsistency_noenergy(self):
assertDiracFailsWith(self.whiz._checkConsistency(), 'energy not set',
self)
def test_checkconsistency_nonbevts(self):
self.whiz.energy = 'blabla'
assertDiracFailsWith(self.whiz._checkConsistency(),
'number of events not set', self)
def test_checkconsistency_noprocess(self):
self.whiz.energy = 'blabla'
self.whiz.numberOfEvents = 13
assertDiracFailsWith(self.whiz._checkConsistency(),
'process not defined', self)
def test_checkconsistency_noprocesslist(self):
self.whiz.energy = 'blabla'
self.whiz.numberOfEvents = 13
self.whiz.eventType = 'mytype'
assertDiracFailsWith(self.whiz._checkConsistency(),
'process list was not given', self)
def test_checkconsistency_checkfields_fails(self):
self.whiz.setFullParameterDict({'something': 'something_else'})
assertDiracFailsWith(
self.whiz._checkConsistency(),
'element something is not in the allowed parameters', self)
def test_checkconsistency_noevttype(self):
self.whiz.setFullParameterDict({'process_input': {'process_id': ''}})
assertDiracFailsWith(self.whiz._checkConsistency(),
'event type not specified', self)
def test_checkconsistency_energyzero(self):
self.whiz.setFullParameterDict(
{'process_input': {
'process_id': '',
'sqrts': 0
}})
self.whiz.eventType = 'some_test_evttype'
self.whiz.energy = 0
assertDiracFailsWith(self.whiz._checkConsistency(), 'energy set to 0',
self)
def test_checkconsistency_nbevts_zero(self):
self.whiz.setFullParameterDict({
'process_input': {
'process_id': '',
'sqrts': 0
},
'simulation_input': {
'n_events': 0
}
})
self.whiz.eventType = 'some_test_evttype'
self.whiz.energy = 341
self.whiz.numberOfEvents = 0
assertDiracFailsWith(self.whiz._checkConsistency(),
'number of events set to 0', self)
def test_checkconsistency_genlevelcut_invalid(self):
self.whiz.setFullParameterDict({
'process_input': {
'process_id': '',
'sqrts': 0
},
'simulation_input': {
'n_events': 0
}
})
self.whiz.eventType = 'some_test_evttype'
self.whiz.energy = 341
self.whiz.numberOfEvents = 1235
self.whiz._processlist = Mock()
self.whiz.setGeneratorLevelCuts({'something': True})
assertDiracFailsWith(self.whiz._checkConsistency(),
'type of True is not a list', self)
def test_checkconsistency_noglobalevt(self):
self.whiz.setFullParameterDict({
'process_input': {
'process_id': 'process_1 some_test_process more_stuff',
'sqrts': 0
},
'simulation_input': {
'n_events': 0
}
})
self.whiz.setEvtType('some_test_evttype other_types ignore_us')
self.whiz.setGlobalEvtType('')
self.whiz.energy = 341
self.whiz.numberOfEvents = 1235
self.whiz._processlist = Mock()
self.whiz.setGeneratorLevelCuts({'some_test_process': ['testlist']})
assertDiracFailsWith(self.whiz._checkConsistency(),
'global name must be defined', self)
def test_checkconsistency_process_not_found(self):
self.whiz.setFullParameterDict({
'process_input': {
'process_id': 'process_1 some_test_process more_stuff',
'sqrts': 0
},
'simulation_input': {
'n_events': 0
}
})
self.whiz.setEvtType('some_test_evttype other_types ignore_us')
self.whiz.setGlobalEvtType('myGlobalTestEvent')
self.whiz.energy = 341
self.whiz.numberOfEvents = 1235
exists_dict = {'process_1': True, 'some_test_process': False}
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process: S_OK(
exists_dict[process])
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts({'some_test_process': ['testlist']})
assertDiracFailsWith(self.whiz._checkConsistency(),
'process some_test_process does not exist', self)
def test_checkconsistency_process_version_incompatible(self):
self.whiz.setFullParameterDict({
'process_input': {
'process_id': 'process_1 some_test_process more_stuff',
'sqrts': 0
},
'simulation_input': {
'n_events': 0
}
})
self.whiz.setEvtType('some_test_evttype other_types ignore_us')
self.whiz.setGlobalEvtType('myGlobalTestEvent')
self.whiz.energy = 341
self.whiz.version = 'v248'
self.whiz.numberOfEvents = 1235
exists_dict = {'process_1': True, 'some_test_process': True}
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process: S_OK(
exists_dict[process])
plist_mock.getCSPath.side_effect = [
'some_dir/whizardv248.tgz', 'whizard418.tar.gz'
]
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts({'some_test_process': ['testlist']})
assertDiracFailsWith(self.whiz._checkConsistency(),
'not available in the same whizard version', self)
def test_checkconsistency_unknownmodel(self):
self.whiz.setFullParameterDict({
'process_input': {
'process_id': 'process_1 some_test_process more_stuff',
'sqrts': 0
},
'simulation_input': {
'n_events': 0
}
})
self.whiz.setEvtType('some_test_evttype other_types ignore_us')
self.whiz.setGlobalEvtType('myGlobalTestEvent')
self.whiz.energy = 341
self.whiz.model = 'myObscureModel'
self.whiz.version = '248'
self.whiz.numberOfEvents = 1235
exists_dict = {
'process_1': True,
'some_test_process': True,
'more_stuff': True
}
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process: S_OK(
exists_dict[process])
plist_mock.getCSPath.return_value = 'some_dir/whizard248.tgz'
self.whiz._generatormodels.models = {}
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts({'some_test_process': ['testlist']})
assertDiracFailsWith(self.whiz._checkConsistency(),
'unknown model myobscuremodel', self)
def test_checkconsistency_illegaloutputfile(self):
self.whiz.setFullParameterDict({'integration_input': {}})
self.whiz.setEvtType('some_type')
self.whiz.globalEventType = ''
self.whiz.energy = 341
self.whiz.model = ''
self.whiz.version = '248'
self.whiz.outputFile = 'some_dir/more_dirs/output.file'
self.whiz.numberOfEvents = 1235
exists_dict = {'some_type': True}
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process: S_OK(
exists_dict[process])
plist_mock.getCSPath.return_value = 'some_dir/whizard248.tgz'
self.whiz._generatormodels.models = {}
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts({'some_test_process': ['testlist']})
assertDiracFailsWith(self.whiz._checkConsistency(),
'is a file name, not a path', self)
def test_checkconsistency_unknownparam(self):
self.whiz.setFullParameterDict({})
self.whiz.setEvtType('some_type')
self.whiz.setParameterDict({'illegal_key': 'illegal_value'})
self.whiz.globalEventType = ''
self.whiz.energy = 341
self.whiz.model = ''
self.whiz.version = '248'
self.whiz.outputFile = ''
self.whiz.numberOfEvents = 1235
exists_dict = {'some_type': True}
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process: S_OK(
exists_dict[process])
plist_mock.getCSPath.return_value = 'some_dir/whizard248.tgz'
self.whiz._generatormodels.models = {}
self.whiz._jobtype = 'User'
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts({'some_test_process': ['testlist']})
assertDiracFailsWith(self.whiz._checkConsistency(),
'unknown parameter illegal_key', self)
def test_checkconsistency_cornercases(self):
self.whiz.setFullParameterDict({})
self.whiz.setEvtType('some_type')
self.whiz.setParameterDict({'PNAME1': 'mytestpname'})
self.whiz.globalEventType = ''
self.whiz.energy = 341
self.whiz.model = ''
self.whiz.version = '248'
self.whiz.outputFile = 'output.file'
self.whiz.numberOfEvents = 1235
exists_dict = {'some_type': True}
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process: S_OK(
exists_dict[process])
plist_mock.getCSPath.return_value = 'some_dir/whizard248.tgz'
self.whiz._generatormodels.models = {}
self.whiz._jobtype = 'User'
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts({'some_test_process': ['testlist']})
assertDiracSucceeds(self.whiz._checkConsistency(), self)
def test_applicationmodule(self):
result = self.whiz._applicationModule()
self.assertIsNotNone(result)
def test_applicationmodulevalues(self):
module_mock = Mock()
self.whiz._applicationModuleValues(module_mock)
self.assertTrue(module_mock.setValue.called)
assertEqualsImproved(len(module_mock.mock_calls), 11, self)
def test_userjobmodules(self):
module_mock = Mock()
assertDiracSucceeds(self.whiz._userjobmodules(module_mock), self)
def test_prodjobmodules(self):
module_mock = Mock()
assertDiracSucceeds(self.whiz._prodjobmodules(module_mock), self)
def test_userjobmodules_fails(self):
with patch('%s._setUserJobFinalization' % MODULE_NAME, new=Mock(return_value=S_OK('something'))),\
patch('%s._setApplicationModuleAndParameters' % MODULE_NAME, new=Mock(return_value=S_ERROR('some_test_err'))):
assertDiracFailsWith(self.whiz._userjobmodules(None),
'userjobmodules failed', self)
def test_prodjobmodules_fails(self):
with patch('%s._setApplicationModuleAndParameters' % MODULE_NAME, new=Mock(return_value=S_OK('something'))), \
patch('%s._setOutputComputeDataList' % MODULE_NAME, new=Mock(return_value=S_ERROR('some_other_test_err'))):
assertDiracFailsWith(self.whiz._prodjobmodules(None),
'prodjobmodules failed', self)
if energy==1400.:
spectrum = 19
elif energy == 3000.:
spectrum = 11
elif energy == 500.:
spectrum = 13
elif energy == 350.:
spectrum = 20
else:
print "No spectrum defined, cannot proceed"
exit(1)
##Start by defining the whizard application
wh = Whizard(processlist=dirac.getProcessList())
wh.setModel(model)
pdict = {}
pdict['process_input'] = {}
pdict['process_input']['process_id']=proddict['process']
pdict['process_input']['sqrts'] = energy
if not model=='sm':
pdict['process_input']['input_file'] = "LesHouches.msugra_1"
pdict['process_input']['input_slha_format'] = 'T'
if beamrecoil and gen:
prod_name += "_beamrecoil"
pdict['process_input']['beam_recoil']='T'
pdict['integration_input'] = {}
pdict['integration_input']['calls'] = '1 500000 10 500000 1 1500000'
if gridfiles:
Script.parseCommandLine()
from ILCDIRAC.Interfaces.API.DiracILC import DiracILC
from ILCDIRAC.Interfaces.API.NewInterface.Applications import Whizard, Mokka, Marlin, OverlayInput
from ILCDIRAC.Interfaces.API.NewInterface.UserJob import UserJob
from DIRAC import exit as dexit
dirac = DiracILC()
# wh.setOutputFile("myfile.stdhep")
j = UserJob()
wh = Whizard(processlist=dirac.getProcessList())
wh.setEnergy(3000)
wh.setEvtType("ee_h_mumu")
wh.setNbEvts(1)
wh.setEnergy(3000)
params = {}
params["USERB1"] = "F"
wh.setParameterDict(params)
wh.setModel("sm")
res = j.append(wh)
if not res["OK"]:
print res["Message"]
dexit(1)
mo = Mokka()
from DIRAC.Core.Base import Script
Script.parseCommandLine()
from ILCDIRAC.Interfaces.API.DiracILC import DiracILC
from ILCDIRAC.Interfaces.API.NewInterface.Applications import Whizard, Mokka, Marlin, OverlayInput
from ILCDIRAC.Interfaces.API.NewInterface.UserJob import UserJob
from DIRAC import exit as dexit
dirac =DiracILC()
#wh.setOutputFile("myfile.stdhep")
j = UserJob()
wh = Whizard(processlist=dirac.getProcessList())
wh.setEnergy(3000)
wh.setEvtType("ee_h_mumu")
wh.setNbEvts(1)
wh.setEnergy(3000)
params = {}
params['USERB1']='F'
wh.setParameterDict(params)
wh.setModel("sm")
res = j.append(wh)
if not res['OK']:
print res['Message']
dexit(1)
mo = Mokka()
if energy == 1400.0:
spectrum = 19
elif energy == 3000.0:
spectrum = 11
elif energy == 500.0:
spectrum = 13
elif energy == 350.0:
spectrum = 20
else:
print "No spectrum defined, cannot proceed"
exit(1)
##Start by defining the whizard application
wh = Whizard(processlist=dirac.getProcessList())
wh.setModel(model)
pdict = {}
pdict["process_input"] = {}
pdict["process_input"]["process_id"] = process
pdict["process_input"]["sqrts"] = energy
if not model == "sm":
pdict["process_input"]["input_file"] = "LesHouches.msugra_1"
pdict["process_input"]["input_slha_format"] = "T"
pdict["integration_input"] = {}
pdict["integration_input"]["calls"] = "1 500000 10 500000 1 1500000"
if gridfiles:
pdict["integration_input"]["read_grids"] = "T"
if exchange_lines:
pdict["integration_input"]["exchange_lines"] = 4
dirac = DiracILC()
###As it's a full chain, we start at generation
##so we need to define the process and the energy
## The rest will be set later. We could also set the process
##and the energy directly in the whizard def, but for clarity
## it's better to do it before, that way we know the very
##essential
process = 'stau1stau1_r'
energy = 1400
##Start by defining the whizard application
wh = Whizard(processlist=dirac.getProcessList())
wh.setModel("sm")
#wh.setModel("susyStagedApproach")
pdict = {}
pdict['process_input'] = {}
pdict['process_input']['process_id']='e2e2n1n1'
pdict['process_input']['sqrts'] = energy
#pdict['process_input']['input_file'] = "LesHouches.msugra_1"
#pdict['process_input']['input_slha_format'] = 'T'
pdict['integration_input'] = {}
pdict['integration_input']['calls'] = '1 500000 10 500000 1 1500000'
pdict['simulation_input'] = {}
pdict['simulation_input']['normalize_weight']='F'
pdict['simulation_input']['n_events']= 1000
def setUp(self): self.whiz = Whizard()
class TestWhizard( unittest.TestCase ):
""" Tests the Whizard class """
EXPECTED_PRINTOUT = '&process_input\n process_id = ""\n cm_frame = T\n sqrts = 3000\n luminosity = 0\n polarized_beams = T\n structured_beams = T\n beam_recoil = F\n recoil_conserve_momentum = F\n filename = "whizard"\n directory = ""\n input_file = ""\n input_slha_format = F\n/\n&integration_input\n calls = 1 50000 10 50000 1 1500000\n seed = \n reset_seed_each_process = F\n accuracy_goal = 0\n efficiency_goal = 100\n time_limit_adaptation = 0\n stratified = T\n use_efficiency = F\n weights_power = 0.25\n min_bins = 3\n max_bins = 20\n min_calls_per_bin = 10\n min_calls_per_channel = 0\n write_grids = T\n write_grids_raw = F\n write_grids_file = ""\n write_all_grids = F\n write_all_grids_file = ""\n read_grids = F\n read_grids_raw = F\n read_grids_force = T\n read_grids_file = ""\n generate_phase_space = T\n read_model_file = ""\n write_phase_space_file = ""\n read_phase_space = T\n read_phase_space_file = ""\n phase_space_only = F\n use_equivalences = T\n azimuthal_dependence = F\n write_phase_space_channels_file = ""\n off_shell_lines = 1\n extra_off_shell_lines = 1\n splitting_depth = 1\n exchange_lines = 3\n show_deleted_channels = F\n single_off_shell_decays = T\n double_off_shell_decays = F\n single_off_shell_branchings = T\n double_off_shell_branchings = T\n massive_fsr = T\n threshold_mass = -10\n threshold_mass_t = -10\n default_jet_cut = 10\n default_mass_cut = 4\n default_energy_cut = 10\n default_q_cut = 4\n write_default_cuts_file = ""\n read_cuts_file = ""\n user_cut_mode = 0\n user_weight_mode = 0\n/\n&simulation_input\n n_events = 0\n n_calls = 0\n n_events_warmup = 0\n unweighted = T\n normalize_weight = T\n write_weights = F\n write_weights_file = ""\n safety_factor = 1\n write_events = T\n write_events_format = 20\n write_events_file = ""\n events_per_file = 5000000\n bytes_per_file = 0\n min_file_count = 1\n max_file_count = 999\n write_events_raw = F\n write_events_raw_file = ""\n read_events = F\n read_events_force = T\n read_events_raw_file = ""\n keep_beam_remnants = T\n keep_initials = T\n guess_color_flow = F\n recalculate = F\n fragment = T\n fragmentation_method = 3\n user_fragmentation_mode = 0\n pythia_parameters = "PMAS(25,1)=120.; PMAS(25,2)=0.3605E-02; MSTU(22)=20 ;MSTJ(28)=2 ;PARJ(21)=0.40000;PARJ(41)=0.11000; PARJ(42)=0.52000; PARJ(81)=0.25000; PARJ(82)=1.90000; MSTJ(11)=3; PARJ(54)=-0.03100; PARJ(55)=-0.00200;PARJ(1)=0.08500; PARJ(3)=0.45000; PARJ(4)=0.02500; PARJ(2)=0.31000; PARJ(11)=0.60000; PARJ(12)=0.40000; PARJ(13)=0.72000;PARJ(14)=0.43000; PARJ(15)=0.08000; PARJ(16)=0.08000; PARJ(17)=0.17000; MSTP(3)=1;"\n pythia_processes = ""\n shower = F\n shower_nf = 5\n shower_running_alpha_s = F\n shower_alpha_s = 0.2\n shower_lambda = 0.29\n shower_t_min = 1.0\n shower_md = 0.330\n shower_mu = 0.330\n shower_ms = 0.500\n shower_mc = 1.5\n shower_mb = 4.8\n/\n&diagnostics_input\n chattiness = 4\n catch_signals = T\n time_limit = 0\n warn_empty_channel = F\n screen_events = F\n screen_histograms = F\n screen_diagnostics = F\n show_pythia_banner = T\n show_pythia_initialization = T\n show_pythia_statistics = T\n write_logfile = T\n write_logfile_file = ""\n show_input = T\n show_results = T\n show_phase_space = F\n show_cuts = T\n show_histories = F\n show_history = T\n show_weights = T\n show_event = F\n show_histograms = F\n show_overflow = F\n show_excess = T\n read_analysis_file = ""\n plot_width = 130\n plot_height = 90\n plot_excess = T\n plot_history = T\n plot_grids_channels = ""\n plot_grids_logscale = 10\n slha_rewrite_input = T\n slha_ignore_errors = F\n/\n¶meter_input\n/\n&beam_input\n energy = 0\n angle = 0\n direction = 0 0 0\n vector_polarization = F\n polarization = 0.0 0.0\n particle_code = 0\n particle_name = "e1"\n USER_spectrum_on = T\n USER_spectrum_mode = 11\n ISR_on = T\n ISR_alpha = 0.0072993\n ISR_m_in = 0.000511\n ISR_LLA_order = 3\n ISR_map = T\n EPA_on = F\n EPA_map = T\n EPA_alpha = 0.0072993\n EPA_m_in = 0.000511\n EPA_mX = 4\n EPA_Q_max = 4\n EPA_x0 = 0\n EPA_x1 = 0\n/\n&beam_input\n energy = 0\n angle = 0\n direction = 0 0 0\n vector_polarization = F\n polarization = 0.0 0.0\n particle_code = 0\n particle_name = "E1"\n USER_spectrum_on = T\n USER_spectrum_mode = -11\n ISR_on = T\n ISR_alpha = 0.0072993\n ISR_m_in = 0.000511\n ISR_LLA_order = 3\n ISR_map = T\n EPA_on = F\n EPA_map = T\n EPA_alpha = 0.0072993\n EPA_m_in = 0.000511\n EPA_mX = 4\n EPA_Q_max = 4\n EPA_x0 = 0\n EPA_x1 = 0\n/'
def setUp(self):
self.whiz = Whizard()
def test_getters( self ):
from ILCDIRAC.Core.Utilities.WhizardOptions import WhizardOptions
expected_pdict = { 'OK' : True, 'Value' : { 'integration_input' : {},
'simulation_input' : {},
'diagnostics_input' : {},
'process_input' : {},
'beam_input_1' : {},
'beam_input_2' : {} } }
pdict = self.whiz.getPDict()
self.whiz.setEvtType( 'myevent_test' )
self.assertIsNotNone( pdict )
self.whiz.setGlobalEvtType( 'test_myglobalevt' )
self.whiz.setLuminosity( 138.312 )
self.whiz.setRandomSeed( 9024 )
self.whiz.setParameterDict( { 'mytestval' : True, 'more_entres' : 'value',
'something' : 9103 } )
self.whiz.setGeneratorLevelCuts( { 'generator' : False, 'cuts' : 123,
'level' : 'OK' } )
assert not self.whiz.willBeCut
self.whiz.willCut()
assert not self.whiz.useGridFiles
self.whiz.usingGridFiles()
self.whiz.setJobIndex( 'mytestJobIndexS&P500' )
self.whiz.setModel( 'mytestSModel' )
self.whiz._wo = WhizardOptions( self.whiz.model )
with patch('__builtin__.open', mock_open(), create=True) as mo:
self.whiz.addedtojob = True
self.whiz.dumpWhizardDotIn( 'someFile.in' )
self.whiz.addedtojob = False
mo.assert_called_once_with( 'someFile.in', 'w' )
assertMockCalls( mo().write, [ TestWhizard.EXPECTED_PRINTOUT, '\n' ], self )
assertEqualsImproved( ( pdict, self.whiz.eventType,
self.whiz.globalEventType, self.whiz.luminosity,
self.whiz.randomSeed, self.whiz.parameterDict,
self.whiz.generatorLevelCuts, self.whiz.willBeCut,
self.whiz.useGridFiles, self.whiz.jobIndex,
self.whiz.model ),
( expected_pdict, 'myevent_test', 'test_myglobalevt',
138.312, 9024,
{ 'mytestval' : True, 'more_entres' : 'value',
'something' : 9103 },
{ 'generator' : False, 'cuts' : 123,
'level' : 'OK' }, True, True,
'mytestJobIndexS&P500', 'mytestSModel' ) , self )
assert not self.whiz._errorDict
def test_setevttype_nostring( self ):
assert not self.whiz._errorDict
self.whiz.setEvtType( 123 )
assertEqualsImproved( self.whiz.eventType, 123, self )
assert self.whiz._errorDict
def test_setevttype_already_added( self ):
self.whiz.addedtojob = True
assertDiracFailsWith( self.whiz.setEvtType( 'myothertestevent' ), \
'cannot modify', self )
def test_dumpwhizarddotin( self ):
assert not self.whiz._errorDict
self.whiz.dumpWhizardDotIn()
assert self.whiz._errorDict
def test_setfullparamdict( self ):
self.whiz.setFullParameterDict( { 'some_entry' : True, 'myParamDict' : {},
123 : 2 } )
assert not self.whiz._errorDict
assertEqualsImproved( self.whiz.fullParameterDict,
{ 'some_entry' : True, 'myParamDict' : {}, 123 : 2 },
self )
def test_setfullparamdict_wrongtype( self ):
assert not self.whiz._errorDict
self.whiz.setFullParameterDict( 'eihnff' )
assert self.whiz._errorDict
def test_checkconsistency( self ):
self.whiz.setFullParameterDict( { 'process_input' :
{ 'process_id' : 'myprocessid',
'sqrts' : 81 },
'simulation_input' :
{ 'n_events' : 41 } } )
plist_mock = Mock()
plist_mock.existsProcess.return_value = S_OK( True )
plist_mock.getCSPath.return_value = 'some_dir/some_cs_path/whizardv874.tgz'
self.whiz._processlist = plist_mock
self.whiz._generatormodels.models['sm'] = True
assertDiracSucceeds( self.whiz._checkConsistency(), self )
def test_checkconsistency_noenergy( self ):
assertDiracFailsWith( self.whiz._checkConsistency(), 'energy not set',
self )
def test_checkconsistency_nonbevts( self ):
self.whiz.energy = 'blabla'
assertDiracFailsWith( self.whiz._checkConsistency(),
'number of events not set', self )
def test_checkconsistency_noprocess( self ):
self.whiz.energy = 'blabla'
self.whiz.numberOfEvents = 13
assertDiracFailsWith( self.whiz._checkConsistency(), 'process not defined',
self )
def test_checkconsistency_noprocesslist( self ):
self.whiz.energy = 'blabla'
self.whiz.numberOfEvents = 13
self.whiz.eventType = 'mytype'
assertDiracFailsWith( self.whiz._checkConsistency(),
'process list was not given', self )
def test_checkconsistency_checkfields_fails( self ):
self.whiz.setFullParameterDict( { 'something' : 'something_else' } )
assertDiracFailsWith( self.whiz._checkConsistency(),
'element something is not in the allowed parameters',
self )
def test_checkconsistency_noevttype( self ):
self.whiz.setFullParameterDict( { 'process_input' :
{ 'process_id' : '' } } )
assertDiracFailsWith( self.whiz._checkConsistency(),
'event type not specified', self )
def test_checkconsistency_energyzero( self ):
self.whiz.setFullParameterDict( { 'process_input' :
{ 'process_id' : '',
'sqrts' : 0 } } )
self.whiz.eventType = 'some_test_evttype'
self.whiz.energy = 0
assertDiracFailsWith( self.whiz._checkConsistency(), 'energy set to 0',
self )
def test_checkconsistency_nbevts_zero( self ):
self.whiz.setFullParameterDict( { 'process_input' :
{ 'process_id' : '',
'sqrts' : 0 },
'simulation_input' :
{ 'n_events' : 0 } } )
self.whiz.eventType = 'some_test_evttype'
self.whiz.energy = 341
self.whiz.numberOfEvents = 0
assertDiracFailsWith( self.whiz._checkConsistency(),
'number of events set to 0', self )
def test_checkconsistency_genlevelcut_invalid( self ):
self.whiz.setFullParameterDict( { 'process_input' :
{ 'process_id' : '',
'sqrts' : 0 },
'simulation_input' :
{ 'n_events' : 0 } } )
self.whiz.eventType = 'some_test_evttype'
self.whiz.energy = 341
self.whiz.numberOfEvents = 1235
self.whiz._processlist = Mock()
self.whiz.setGeneratorLevelCuts( { 'something' : True } )
assertDiracFailsWith( self.whiz._checkConsistency(),
'type of True is not a list', self )
def test_checkconsistency_noglobalevt( self ):
self.whiz.setFullParameterDict(
{ 'process_input' :
{ 'process_id' : 'process_1 some_test_process more_stuff',
'sqrts' : 0 }, 'simulation_input' : { 'n_events' : 0 } } )
self.whiz.setEvtType( 'some_test_evttype other_types ignore_us' )
self.whiz.setGlobalEvtType( '' )
self.whiz.energy = 341
self.whiz.numberOfEvents = 1235
self.whiz._processlist = Mock()
self.whiz.setGeneratorLevelCuts( { 'some_test_process' : [ 'testlist' ] } )
assertDiracFailsWith( self.whiz._checkConsistency(),
'global name must be defined', self )
def test_checkconsistency_process_not_found( self ):
self.whiz.setFullParameterDict(
{ 'process_input' :
{ 'process_id' : 'process_1 some_test_process more_stuff',
'sqrts' : 0 }, 'simulation_input' : { 'n_events' : 0 } } )
self.whiz.setEvtType( 'some_test_evttype other_types ignore_us' )
self.whiz.setGlobalEvtType( 'myGlobalTestEvent' )
self.whiz.energy = 341
self.whiz.numberOfEvents = 1235
exists_dict = { 'process_1' : True, 'some_test_process' : False }
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process : S_OK(
exists_dict[process] )
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts( { 'some_test_process' : [ 'testlist' ] } )
assertDiracFailsWith( self.whiz._checkConsistency(),
'process some_test_process does not exist', self )
def test_checkconsistency_process_version_incompatible( self ):
self.whiz.setFullParameterDict(
{ 'process_input' :
{ 'process_id' : 'process_1 some_test_process more_stuff',
'sqrts' : 0 }, 'simulation_input' : { 'n_events' : 0 } } )
self.whiz.setEvtType( 'some_test_evttype other_types ignore_us' )
self.whiz.setGlobalEvtType( 'myGlobalTestEvent' )
self.whiz.energy = 341
self.whiz.version = 'v248'
self.whiz.numberOfEvents = 1235
exists_dict = { 'process_1' : True, 'some_test_process' : True }
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process : S_OK(
exists_dict[process] )
plist_mock.getCSPath.side_effect = [ 'some_dir/whizardv248.tgz',
'whizard418.tar.gz' ]
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts( { 'some_test_process' : [ 'testlist' ] } )
assertDiracFailsWith( self.whiz._checkConsistency(),
'not available in the same whizard version', self )
def test_checkconsistency_unknownmodel( self ):
self.whiz.setFullParameterDict(
{ 'process_input' :
{ 'process_id' : 'process_1 some_test_process more_stuff',
'sqrts' : 0 }, 'simulation_input' : { 'n_events' : 0 } } )
self.whiz.setEvtType( 'some_test_evttype other_types ignore_us' )
self.whiz.setGlobalEvtType( 'myGlobalTestEvent' )
self.whiz.energy = 341
self.whiz.model = 'myObscureModel'
self.whiz.version = '248'
self.whiz.numberOfEvents = 1235
exists_dict = { 'process_1' : True, 'some_test_process' : True,
'more_stuff' : True }
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process : S_OK(
exists_dict[process] )
plist_mock.getCSPath.return_value = 'some_dir/whizard248.tgz'
self.whiz._generatormodels.models = {}
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts( { 'some_test_process' : [ 'testlist' ] } )
assertDiracFailsWith( self.whiz._checkConsistency(),
'unknown model myobscuremodel', self )
def test_checkconsistency_illegaloutputfile( self ):
self.whiz.setFullParameterDict( { 'integration_input' : {} } )
self.whiz.setEvtType( 'some_type' )
self.whiz.globalEventType = ''
self.whiz.energy = 341
self.whiz.model = ''
self.whiz.version = '248'
self.whiz.outputFile = 'some_dir/more_dirs/output.file'
self.whiz.numberOfEvents = 1235
exists_dict = { 'some_type' : True }
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process : S_OK(
exists_dict[process] )
plist_mock.getCSPath.return_value = 'some_dir/whizard248.tgz'
self.whiz._generatormodels.models = {}
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts( { 'some_test_process' : [ 'testlist' ] } )
assertDiracFailsWith( self.whiz._checkConsistency(),
'is a file name, not a path', self )
def test_checkconsistency_unknownparam( self ):
self.whiz.setFullParameterDict( {} )
self.whiz.setEvtType( 'some_type' )
self.whiz.setParameterDict( { 'illegal_key' : 'illegal_value' } )
self.whiz.globalEventType = ''
self.whiz.energy = 341
self.whiz.model = ''
self.whiz.version = '248'
self.whiz.outputFile = ''
self.whiz.numberOfEvents = 1235
exists_dict = { 'some_type' : True }
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process : S_OK(
exists_dict[process] )
plist_mock.getCSPath.return_value = 'some_dir/whizard248.tgz'
self.whiz._generatormodels.models = {}
self.whiz._jobtype = 'User'
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts( { 'some_test_process' : [ 'testlist' ] } )
assertDiracFailsWith( self.whiz._checkConsistency(),
'unknown parameter illegal_key', self )
def test_checkconsistency_cornercases( self ):
self.whiz.setFullParameterDict( {} )
self.whiz.setEvtType( 'some_type' )
self.whiz.setParameterDict( { 'PNAME1' : 'mytestpname' } )
self.whiz.globalEventType = ''
self.whiz.energy = 341
self.whiz.model = ''
self.whiz.version = '248'
self.whiz.outputFile = 'output.file'
self.whiz.numberOfEvents = 1235
exists_dict = { 'some_type' : True }
plist_mock = Mock()
plist_mock.existsProcess.side_effect = lambda process : S_OK(
exists_dict[process] )
plist_mock.getCSPath.return_value = 'some_dir/whizard248.tgz'
self.whiz._generatormodels.models = {}
self.whiz._jobtype = 'User'
self.whiz._processlist = plist_mock
self.whiz.setGeneratorLevelCuts( { 'some_test_process' : [ 'testlist' ] } )
assertDiracSucceeds( self.whiz._checkConsistency(), self )
def test_applicationmodule( self ):
result = self.whiz._applicationModule()
self.assertIsNotNone( result )
def test_applicationmodulevalues( self ):
module_mock = Mock()
self.whiz._applicationModuleValues( module_mock )
self.assertTrue( module_mock.setValue.called )
assertEqualsImproved( len(module_mock.mock_calls), 11, self )
def test_userjobmodules( self ):
module_mock = Mock()
assertDiracSucceeds( self.whiz._userjobmodules( module_mock ), self )
def test_prodjobmodules( self ):
module_mock = Mock()
assertDiracSucceeds( self.whiz._prodjobmodules( module_mock ), self )
def test_userjobmodules_fails( self ):
with patch('%s._setUserJobFinalization' % MODULE_NAME, new=Mock(return_value=S_OK('something'))),\
patch('%s._setApplicationModuleAndParameters' % MODULE_NAME, new=Mock(return_value=S_ERROR('some_test_err'))):
assertDiracFailsWith( self.whiz._userjobmodules( None ),
'userjobmodules failed', self )
def test_prodjobmodules_fails( self ):
with patch('%s._setApplicationModuleAndParameters' % MODULE_NAME, new=Mock(return_value=S_OK('something'))), \
patch('%s._setOutputComputeDataList' % MODULE_NAME, new=Mock(return_value=S_ERROR('some_other_test_err'))):
assertDiracFailsWith( self.whiz._prodjobmodules( None ),
'prodjobmodules failed', self )
