def run():
""" Run the macro
"""
# This input generates empty spills, to be filled by the beam maker later on
my_input = MAUS.InputPySpillGenerator()
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapPyBeamMaker()) # beam construction
my_map.append(MAUS.MapCppSimulation()) # geant4 simulation
my_map.append(MAUS.MapCppTOFMCDigitizer()) # TOF MC Digitizer
#my_map.append(MAUS.MapCppTOFSlabHits()) # TOF SlabHit Reco
#my_map.append(MAUS.MapCppTOFSpacePoints()) # TOF SpacePoint Reco
my_map.append(MAUS.MapCppKLMCDigitizer()) # KL MC Digitizer
my_map.append(MAUS.MapCppKLCellHits()) # KL CellHit Reco
# can specify datacards here or by using appropriate command line calls
datacards = io.StringIO(u"")
reducer = MAUS.ReducePyDoNothing()
# Then construct a MAUS output component - filename comes from datacards
my_output = MAUS.OutputPyJSON()
# The Go() drives all the components you pass in, then check the file
# (default simulation.out) for output
MAUS.Go(my_input, my_map, reducer, my_output, datacards)
def run():
""" Run the macro
"""
# This input generates empty spills, to be filled by the beam maker later on
my_input = MAUS.InputPySpillGenerator()
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
# GEANT4
my_map.append(MAUS.MapPyBeamMaker()) # beam construction
my_map.append(MAUS.MapCppSimulation()) # geant4 simulation
# Pre detector set up
# my_map.append(MAUS.MapPyMCReconSetup()) # geant4 simulation
my_map.append(MAUS.MapCppMCReconSetup()) # geant4 simulation
# SciFi
my_map.append(
MAUS.MapCppTrackerVirtualsDigitization()) # SciFi electronics model
my_map.append(MAUS.MapCppTrackerRecon()) # SciFi Recon
# Then construct a MAUS output component - filename comes from datacards
my_output = MAUS.OutputCppRoot()
# can specify datacards here or by using appropriate command line calls
datacards = io.StringIO(u"")
# The Go() drives all the components you pass in, then check the file
# (default simulation.out) for output
MAUS.Go(my_input, my_map, MAUS.ReducePyDoNothing(), my_output, datacards)
def run(input_beam, configuration, out_file):
"""run"""
document_file = io.StringIO(unicode(input_beam))
my_input = MAUS.InputPyJSON(document_file)
my_map = MAUS.MapCppSimulation()
my_output = MAUS.OutputPyJSON(open(out_file, 'w'))
MAUS.Go(my_input, my_map, MAUS.ReducePyDoNothing(), my_output,
io.StringIO(unicode(configuration)))
def setUpClass(cls): # pylint: disable = C0103
"""Sets a mapper and configuration"""
cls.mappers = [MAUS.MapCppTrackerClusterRecon(), \
MAUS.MapCppTrackerSpacePointRecon()]
cls.test_config = ""
if maus_cpp.globals.has_instance():
cls.test_config = maus_cpp.globals.get_configuration_cards()
maus_cpp.globals.death()
def run():
"""
Analyze data from the MICE experiment
This reads in and processes data taken from the MICE
experiment.
"""
# Set up data cards.
data_cards_list = []
# batch mode = runs ROOT in batch mode so that canvases are not displayed
# 1 = True, Batch Mode
# 0 = False, Interactive Mode
# setting it to false/0 will cause canvases to pop up on screen and
# will get refreshed every N spills set by the refresh_rate data
# card.
data_cards_list.append("root_batch_mode='%d'\n" % 1)
# refresh_rate = once in how many spills should canvases be updated
data_cards_list.append("refresh_rate='%d'\n" % 1)
# Add auto-numbering to the image tags. If False then each
# histogram output for successive spills will have the same tag
# so there are no spill-specific histograms. This is the
# recommended use for online reconstruction.
data_cards_list.append("histogram_auto_number=%s\n" % False)
# Default image type is eps. For online use, use PNG.
data_cards_list.append("histogram_image_type=\"png\"\n")
# Directory for images. Default: $MAUS_WEB_MEDIA_RAW if set
# else the current directory is used.
# Uncomment and change the following if you want to hard
# code a different default path.
# data_cards_list.append("image_directory='%s'\n" % os.getcwd())
# Convert data_cards to string.
data_cards = io.StringIO(unicode("".join(data_cards_list)))
# Set up the input that reads from DAQ
# my_input = MAUS.InputCppDAQData()
# my_input = MAUS.InputCppDAQOnlineData()
my_input = MAUS.InputCppDAQOnlineData() # pylint: disable = E1101
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
# add ReconSetup map -- analyze_data_offline seems to have it already
my_map.append(MAUS.MapCppReconSetup())
my_map.append(MAUS.MapCppTOFDigits())
my_map.append(MAUS.MapCppTOFSlabHits())
my_map.append(MAUS.MapCppTOFSpacePoints())
my_map.append(MAUS.MapCppCkovDigits())
# Histogram reducer.
reducer = MAUS.ReducePyDoNothing()
#reducer = MAUS.ReducePyDoNothing()
# Save images as EPS and meta-data as JSON.
#output_worker = MAUS.OutputPyDoNothing()
output_worker = MAUS.OutputPyJSON()
# Run the workflow.
MAUS.Go(my_input, my_map, reducer, output_worker, data_cards)
def run():
""" Run the macro
"""
# This input generates empty spills, to be filled by the beam maker later on
my_input = MAUS.InputPySpillGenerator()
# my_input = MAUS.InputCppRoot()
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapPyBeamMaker()) # beam construction
my_map.append(MAUS.MapCppSimulation()) # geant4 simulation
# my_map.append(MAUS.MapCppTrackerMCNoise()) # SciFi noise
my_map.append(MAUS.MapCppTrackerMCDigitization()) # SciFi electronics
my_map.append(MAUS.MapCppTrackerRecon()) # SciFi recon
# can specify datacards here or by using appropriate command line calls
datacards = io.StringIO(u"")
# reducer = MAUS.ReduceCppPatternRecognition() # Turn on event display
reducer = MAUS.ReducePyDoNothing()
# Then construct a MAUS output component - filename comes from datacards
# my_output = MAUS.OutputPyJSON()
my_output = MAUS.OutputCppRoot()
# The Go() drives all the components you pass in, then check the file
# (default simulation.out) for output
MAUS.Go(my_input, my_map, reducer, my_output, datacards)
def run():
"""Run the macro"""
# This generates events (usually spills) from a root binary file
my_input = MAUS.InputCppRoot()
# This outputs events (usually spills) to a json ascii file
my_output = MAUS.OutputPyJSON()
# Execute inputter and outputter
# Mapper and Reducer does nothing
MAUS.Go(my_input, MAUS.MapPyDoNothing(), MAUS.ReducePyDoNothing(), \
my_output, io.StringIO(u""))
def run():
"""
Analyze data from the MICE experiment
This reads in and processes data taken from the MICE
experiment.
"""
# Set up data cards.
data_cards_list = []
data_cards_list.append("output_file_name='scalers'\n")
# Convert data_cards to string.
data_cards = io.StringIO(unicode("".join(data_cards_list)))
# Set up the input that reads from DAQ
my_input = MAUS.InputCppDAQOfflineData()
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapCppTOFDigits())
my_map.append(MAUS.MapCppTOFSlabHits())
my_map.append(MAUS.MapCppTOFSpacePoints())
# Histogram reducer.
reducer = MAUS.ReducePyScalersTable()
# Save images as EPS and meta-data as JSON.
output_worker = MAUS.OutputPyFile()
# Run the workflow.
MAUS.Go(my_input, my_map, reducer, output_worker, data_cards)
def run():
""" Run the macro
"""
# Take as input a maus root file.
my_input = MAUS.InputCppRootData()
my_output = MAUS.OutputPyDoNothing()
# datacard specifies the hypothesis for which PDFs are to be made
datacards = io.StringIO(u"")
# The Go() drives all the components you pass in
MAUS.Go(my_input, MAUS.MapPyDoNothing(), MAUS.ReduceCppGlobalPID(),
my_output, datacards)
def setUp(self): # pylint: disable=C0103, C0202
"""
Define cards and initialise Output
"""
self.output = MAUS.OutputCppRoot()
self.outdir = os.environ["MAUS_ROOT_DIR"]+"/tmp/test_output_cpp_root/"
self.outfile = self.outdir+"test_outputCppRoot.root"
try:
os.mkdir(self.outdir)
except OSError:
pass
try:
os.mkdir(self.outdir+"/end_of_run/")
except OSError:
pass
self.on_error_standard = ErrorHandler.DefaultHandler().on_error
#ref = {"$ref":"#test_branch/double_by_value"}
self.test_data = {
"scalars":{},
"spill_number":1,
"run_number":1,
"daq_event_type":"physics_event",
"recon_events":[],
"mc_events":[],
"maus_event_type":"Spill",
}
self.test_job_header = {
"start_of_job":{"date_time":"1976-04-04T00:00:00.000000"},
"bzr_configuration":"",
"bzr_revision":"",
"bzr_status":"",
"maus_version":"",
"json_configuration":"output cpp root test",
"maus_event_type":"JobHeader",
}
self.test_run_header = {
"run_number":1,
"maus_event_type":"RunHeader"
}
self.test_run_footer = {
"run_number":-1,
"maus_event_type":"RunFooter"
}
self.test_job_footer = {
"end_of_job":{"date_time":"1977-04-04T00:00:00.000000"},
"maus_event_type":"JobFooter",
}
self.cards = Configuration.Configuration().getConfigJSON()
self.cards = json.loads(self.cards)
self.cards["output_root_file_name"] = self.outfile
self.cards["output_root_file_mode"] = "one_big_file"
self.cards["end_of_run_output_root_directory"] = \
self.outdir+"/end_of_run/"
self.cards["verbose_level"] = 2
self.cards = json.dumps(self.cards)
if maus_cpp.globals.has_instance():
maus_cpp.globals.death()
maus_cpp.globals.birth(self.cards)
self.output.birth(self.cards)
def run():
""" Run the macro
"""
# This input generates empty spills, to be filled by the beam maker later on
input_file = open('maus_output.json', 'r')
#
my_input = MAUS.InputPyJSON(input_file)
#my_input = MAUS.InputPySpillGenerator()
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
#my_map.append(MAUS.MapPyBeamMaker()) # beam construction
#my_map.append(MAUS.MapCppSimulation()) # geant4 simulation
my_map.append(
MAUS.MapCppTrackerMCDigitization()) # SciFi electronics model
my_map.append(MAUS.MapCppTrackerRecon()) # SciFi recon
# can specify datacards here or by using appropriate command line calls
datacards = io.StringIO(u"")
#reducer = MAUS.ReduceCppTracker()
reducer = MAUS.ReducePyDoNothing()
output_file = open("recon_mc", 'w') # Uncompressed
# Then construct a MAUS output component
my_output = MAUS.OutputPyJSON(output_file)
# The Go() drives all the components you pass in, then check the file
# (default simulation.out) for output
MAUS.Go(my_input, my_map, reducer, my_output, datacards)
def run(data_path, run_num):
"""Analyze data from the MICE experiment
This will read in and process data taken from the MICE experiment. It will
eventually include things like cabling information, calibrations, and fits.
"""
# Here you specify the path to the data and also the file you want to
# analyze.
my_input = MAUS.InputCppDAQOfflineData(data_path, data_file)
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapCppTrackerDigits())
my_map.append(MAUS.MapCppTrackerRecon())
reducer = MAUS.ReduceCppTracker()
#reducer = MAUS.ReducePyDoNothing()
# reducer = MAUS.ReduceCppTrackerErrorLog()
output_file = open("unpacked_1901", 'w') # Uncompressed
my_output = MAUS.OutputPyJSON(output_file)
# The Go() drives all the components you pass in then put all the output
# into a file called 'mausput'
MAUS.Go(my_input, my_map, reducer, my_output)
def run():
""" Run the macro
"""
# This input generates empty spills, to be filled by the beam maker later on
my_input = MAUS.InputCppRootData()
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
# Global
my_map.append(MAUS.MapCppGlobalReconImport())
my_map.append(MAUS.MapCppGlobalTrackMatching())
my_reduce = MAUS.ReducePyDoNothing()
# Then construct a MAUS output component - filename comes from datacards
my_output = MAUS.OutputCppRoot()
# can specify datacards here or by using appropriate command line calls
datacards = io.StringIO(u"")
# The Go() drives all the components you pass in, then check the file
# (default simulation.out) for output
MAUS.Go(my_input, my_map, my_reduce, my_output, datacards)
def setUpClass(cls): # pylint: disable-msg=C0103
""" Class Initializer.
The set up is called before each test function
is called.
"""
cls.mapper = MAUS.MapCppKLMCDigitizer()
conf_json = json.loads(Configuration().getConfigJSON())
conf_json["simulation_geometry_filename"] = "Stage6.dat"
# Test whether the configuration files were loaded correctly at birth
cls.mapper.birth(json.dumps(conf_json))
def setUpClass(cls): #pylint: disable = C0103
"""Construct for MapPyScalersDump """
if not os.environ.get("MAUS_ROOT_DIR"):
raise Exception('InitializeFail', 'MAUS_ROOT_DIR unset!')
cls.mapper = MAUS.MapPyScalersDump()
# Set our data path & filename
# It would be nicer to test with a smaller data file!
cls._datapath = '%s/src/input/InputCppDAQData' % \
os.environ.get("MAUS_ROOT_DIR")
cls._datafile = '06008'
cls._c = Configuration()
def tearDownClass(cls): # pylint: disable = C0103
"""Sets a mapper and configuration,
and checks that we can death() MapCppTrackerPatternRecognition"""
cls.mapper = MAUS.MapCppTrackerPatternRecognition()
if maus_cpp.globals.has_instance():
maus_cpp.globals.death()
if cls.test_config != "":
maus_cpp.globals.birth(cls.test_config)
# Check we death() the mapper
cls.mapper.death()
cls.mapper = None
def run():
"""
Create a JSON document and create a histogram.
"""
if not os.environ.get("MAUS_ROOT_DIR"):
raise Exception('InitializeFail', 'MAUS_ROOT_DIR unset!')
config = Configuration().getConfigJSON()
config_json = json.loads(config)
datapath = '%s/src/input/InputCppDAQData' % \
os.environ.get("MAUS_ROOT_DIR")
# Set up a run configuration
datafile = '05466'
if os.environ['MAUS_UNPACKER_VERSION'] == "StepIV":
datafile = '06008'
config_json["daq_data_path"] = datapath
config_json["daq_data_file"] = datafile
# Set up data cards.
data_cards_list = []
data_cards_list.append("output_file_name='%s'\n" % "scalers")
data_cards_list.append("output_file_auto_number=%s\n" % True)
data_cards_list.append("daq_data_path='%s'\n" % datapath)
data_cards_list.append("daq_data_file='%s'\n" % datafile)
data_cards_list.append("DAQ_cabling_by='%s'\n" % "date")
data_cards = io.StringIO(unicode("".join(data_cards_list)))
print data_cards
# Create workers.
# inputter = InputCppDAQOfflineData(datapath, datafile)
# inputter.birth(json.dumps(config_json))
inputter = InputCppDAQOfflineData()
mappers = MAUS.MapPyGroup()
mappers.append(MAUS.MapPyDoNothing())
reducer = MAUS.ReducePyScalersTable()
outputter = MAUS.OutputPyFile()
# Execute the workers.
MAUS.Go(inputter, mappers, reducer, outputter, data_cards)
def run():
"""Analyze data from the MICE experiment
This will read in and process data taken from the MICE experiment. It will
eventually include things like cabling information, calibrations, and fits.
"""
# Here you specify the path to the data and also the file you want to
# analyze.
my_input = MAUS.InputCppDAQOnlineData()
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapPyScalersDump())
#my_map.append(MAUS.MapCppTOFDigits())
#my_map.append(MAUS.MapCppTOFSlabHits())
#my_map.append(MAUS.MapCppTOFSpacePoints())
#my_map.append(MAUS.MapPyTOFPlot())
# The Go() drives all the components you pass in then put all the output
# into a file called 'mausput'
MAUS.Go(my_input, my_map, MAUS.ReducePyDoNothing(), MAUS.OutputPyJSON())
def setUpClass(cls): # pylint: disable-msg=C0103
""" Class Initializer.
The set up is called before each test function
is called.
"""
cls.mapper = MAUS.MapCppCkovMCDigitizer()
conf_json = json.loads(Configuration().getConfigJSON())
root_dir = os.environ.get("MAUS_ROOT_DIR")
geom_file = \
'%s/src/map/MapCppCkovMCDigitizer/ckov_geom.dat' % root_dir
conf_json["reconstruction_geometry_filename"] = geom_file
# Test whether the configuration files were loaded correctly at birth
cls.mapper.birth(json.dumps(conf_json))
def tearDownClass(cls): # pylint: disable = C0103
"""Sets a mapper and configuration,
and checks that we can death() MapCppGlobalTrackMatching"""
cls.mapper = MAUS.MapCppGlobalTrackMatching()
if maus_cpp.globals.has_instance():
maus_cpp.globals.death()
if cls.test_config != "":
maus_cpp.globals.birth(cls.test_config)
else:
maus_cpp.globals.birth(json.dumps(MapCppGlobalTMTestCase.cfg))
# Check we death() the mapper
cls.mapper.death()
cls.mapper = None
def test_end_of_run_file_per_run(self):
"""
test_OutputCppRoot.test_one_file_per_run: end_of_run_file_per_run option
"""
my_output = MAUS.OutputCppRoot()
cards_py = json.loads(self.cards)
cards_py["output_root_file_mode"] = "end_of_run_file_per_run"
cards_py["output_root_file_name"] = "test_outputCppRoot.root"
cards_py["end_of_run_output_root_directory"] = \
self.outdir+"/end_of_run/"
self.cards = json.dumps(cards_py)
my_output.birth(self.cards)
self.test_data["run_number"] = 10
self.test_run_header["run_number"] = 10
for i in range(3): # pylint: disable = W0612
self.assertTrue(my_output.save(
json.dumps(self.test_data)
))
for i in range(2): # pylint: disable = W0612
self.assertTrue(my_output.save(
json.dumps(self.test_run_header)
))
for i in range(3): # pylint: disable = W0612
self.assertTrue(my_output.save(
json.dumps(self.test_data)
))
self.test_run_header["run_number"] = 9
for i in range(3): # pylint: disable = W0612
self.assertTrue(my_output.save(
json.dumps(self.test_run_header)
))
self.assertTrue(my_output.save(
json.dumps(self.test_job_footer)
))
self.test_run_footer["run_number"] = 9
self.assertTrue(my_output.save(
json.dumps(self.test_run_footer)
))
for i in range(3): # pylint: disable = W0612
self.assertTrue(my_output.save(
json.dumps(self.test_job_header)
))
my_output.death()
self.__check_job_header("output cpp root test", 3, 0,
self.outdir+"/end_of_run/0/test_outputCppRoot.root")
self.__check_run_header(10, 2, 0,
self.outdir+"/end_of_run/10/test_outputCppRoot.root")
self.__check_run_header(9, 3, 0,
self.outdir+"/end_of_run/9/test_outputCppRoot.root")
self.__check_job_footer("1977-04-04T00:00:00.000000", 1, 0,
self.outdir+"/end_of_run/0/test_outputCppRoot.root")
def run(number_of_spills):
""" Run the macro
"""
# Here we create a pseudo-file with an event in it. If you were to copy
# and paste this to a file, then you could also do:
#
# input_file = open('myFileName.txt', 'r')
#
# where the file format has a JSON document per line. I just toss the file
# in here for simplicity.
input_file = io.StringIO(
number_of_spills *
u"""{"mc": [{"primary":{"position": { "x": 0.0, "y": -0.0, "z": -5000.0 },"particle_id" : 13,"energy" : 210.0, "random_seed" : 10, "momentum" : { "x":0.0, "y":0.0, "z":1.0 }, "time" : 0.0}}]}\n"""
) # pylint: disable=C0301
my_input = MAUS.InputPyJSON(input_file)
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapCppSimulation()) # geant4 simulation
my_map.append(MAUS.MapCppTOFMCDigitizer()) # TOF electronics model
my_map.append(MAUS.MapCppTrackerMCDigitization()) # SCiFi electronics
datacards = io.StringIO(u"keep_steps = True")
# You may specify datacards if you wish. To do so you create a file object
# which can either be a StringIO object or a native python file. If you
# want to store your datacards in a file 'datacards.dat' then uncomment:
# datacards = open('datacards.dat', 'r')
# Choose from either a compressed or uncompressed output file
#
output_file = open(os.environ["MAUS_ROOT_DIR"] + "/tmp/simulation.out",
'w') # Uncompressed
#output_file = gzip.GzipFile("mausput.gz", 'wb') # Compressed
#
# Then construct a MAUS output component
my_output = MAUS.OutputPyJSON(output_file)
# The Go() drives all the components you pass in, then check the file
# 'mausput' for the output
MAUS.Go(my_input, my_map, MAUS.ReducePyDoNothing(), my_output, datacards)
def run():
"""Analyze data from the MICE experiment
This will read in and process data taken from the MICE experiment. It will
eventually include things like cabling information, calibrations, and fits.
"""
# Set up the input that reads from DAQ
#my_input = MAUS.InputCppDAQData()
my_input = MAUS.InputCppDAQOfflineData()
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapCppTOFDigits())
my_map.append(MAUS.MapCppTOFSlabHits())
my_map.append(MAUS.MapCppTOFSpacePoints())
my_map.append(MAUS.MapCppCkovDigits())
reducer = MAUS.ReducePyCkov()
# The Go() drives all the components you pass in then put all the output
# into a file called 'mausput'
MAUS.Go(my_input, my_map, reducer, MAUS.OutputPyImage())
def run(number_of_spills): #pylint: disable =W0621
"""Simulate the MICE experiment
This will simulate 'number_of_spills' MICE events through the entirity
of MICE using Geant4. At present, TOF and Tracker hits will be digitized.
"""
# Here we create a pseudo-file with an event in it. If you were to copy
# and paste this to a file, then you could also do:
#
# documentFile = open('myFileName.txt', 'r')
#
# where the file format has a JSON document per line. I just toss the file
# in here for simplicity.
document_file = io.StringIO(
number_of_spills *
u"""{"mc": [{"position": { "x": 0.0, "y": -0.0, "z": -5000 },"particle_id" : 13,"energy" : 210, "random_seed" : 10, "unit_momentum" : { "x":0, "y":0, "z":1 }}]}\n"""
) #pylint: disable =C0301
my_input = MAUS.InputPyJSON(document_file)
# Create an empty array of mappers, then populate it
# with the functionality you want to use.
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapCppSimulation()) # geant4 simulation
my_map.append(MAUS.MapCppTOFMCDigitizer()) # TOF detector digitization
my_map.append(MAUS.MapCppTrackerMCDigitization()) # tracker digitization
datacards = io.StringIO(u"keep_tracks = False\n"\
"simulation_geometry_filename = \"Stage5.dat\"")
# You may specify datacards if you wish. To do so you create a file object
# which can either be a StringIO object or a native python file. If you
# want to store your datacards in a file 'datacards.dat' then uncomment:
# datacards = open('datacards.dat', 'r')
# The Go() drives all the components you pass in, then check the file
# 'mausput' for the output
MAUS.Go(my_input, my_map, MAUS.ReducePyDoNothing(), MAUS.OutputPyJSON(),
datacards)
def test_something(self):
""" Check against different issues"""
inputter = MAUS.InputCppDAQOfflineData(self._datapath, self._datafile)
conf_json = json.loads(self._c.getConfigJSON())
conf_json["DAQ_cabling_by"] = "date"
inputter.birth(json.dumps(conf_json))
success = self.mapper.birth("{}")
self.assertFalse(success)
success = self.mapper.add("")
self.assertFalse(success)
success = self.mapper.add("{}")
self.assertFalse(success)
success = self.mapper.dump()
self.assertTrue(success)
result = self.mapper.process("{}")
self.assertEqual(len(result), 2)
def test_one_file_per_run(self):
"""
test_OutputCppRoot.test_one_file_per_run: one_file_per_run option
"""
my_output = MAUS.OutputCppRoot()
cards_py = json.loads(self.cards)
cards_py["output_root_file_mode"] = "one_file_per_run"
self.cards = json.dumps(cards_py)
my_output.birth(self.cards)
self.test_data["run_number"] = 10
self.test_run_header["run_number"] = 10
for i in range(3): # pylint: disable = W0612
self.assertTrue(my_output.save(
json.dumps(self.test_data)
))
for i in range(2): # pylint: disable = W0612
self.assertTrue(my_output.save(
json.dumps(self.test_run_header)
))
for i in range(3): # pylint: disable = W0612
self.assertTrue(my_output.save(
json.dumps(self.test_data)
))
self.test_run_header["run_number"] = 9
for i in range(3): # pylint: disable = W0612
self.assertTrue(my_output.save(
json.dumps(self.test_run_header)
))
for i in range(3): # pylint: disable = W0612
self.assertTrue(my_output.save(
json.dumps(self.test_job_header)
))
my_output.death()
self.__check_job_header("output cpp root test", 3, 0,
self.outdir+"test_outputCppRoot_0.root")
self.__check_run_header(10, 2, 0,
self.outdir+"test_outputCppRoot_10.root")
self.__check_run_header(9, 3, 0,
self.outdir+"test_outputCppRoot_9.root")
def run():
""" Run the macro """
my_input = MAUS.InputCppDAQOfflineData()
# my_input = MAUS.InputPyJSON()
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapCppTrackerDigits())
my_map.append(MAUS.MapCppTrackerRecon()) # SciFi recon
datacards = io.StringIO(u"")
# my_output = MAUS.OutputPyJSON()
my_output = MAUS.OutputCppRoot()
# my_reduce = MAUS.ReducePyDoNothing()
my_reduce = MAUS.ReduceCppPatternRecognition()
MAUS.Go(my_input, my_map, my_reduce, my_output, datacards)
def test_birth_death(self):
"""
Check that we can birth and death properly
"""
an_output = MAUS.OutputCppRoot()
# for now this does NOT return an exception... looks like it is caught
# by the API... set ErrorHandler.on_error to 'raise' and we raise a
# std::exception killing the tests (oops)
an_output.birth(json.dumps({}))
an_output.birth(json.dumps({'output_root_file_name':'',
'output_root_file_mode':'one_big_file',
'end_of_run_output_root_directory':'tmp'}))
an_output.birth(json.dumps({'output_root_file_name':'test.root',
'output_root_file_mode':'',
'end_of_run_output_root_directory':'tmp'}))
an_output.birth(json.dumps({'output_root_file_name':'test.root',
'output_root_file_mode':'one',
'end_of_run_output_root_directory':'tmp'}))
# this is okay (dir can just be '')
an_output.birth(json.dumps({'output_root_file_name':'test.root',
'output_root_file_mode':'one_big_file',
'end_of_run_output_root_directory':''}))
an_output.birth(self.cards)
an_output.death()
def setUpClass(cls): # pylint: disable = C0103
"""Initialize a Ckov object"""
cls.mapper = MAUS.MapPyCkov()
cls.c = Configuration()
def run():
""" Run the macro """
my_input = MAUS.InputPySpillGenerator()
my_map = MAUS.MapPyGroup()
my_map.append(MAUS.MapPyBeamMaker()) # beam construction
my_map.append(MAUS.MapCppSimulation()) # geant4 simulation
my_map.append(
MAUS.MapCppTrackerMCDigitization()) # SciFi electronics model
my_map.append(MAUS.MapCppTrackerClusterRecon()) # SciFi channel clustering
my_map.append(
MAUS.MapCppTrackerSpacePointRecon()) # SciFi spacepoint recon
my_map.append(
MAUS.MapCppTrackerPatternRecognition()) # SciFi track finding
my_map.append(MAUS.MapCppTrackerTrackFit()) # SciFi track fit
datacards = io.StringIO(u"")
# reducer = MAUS.ReduceCppPatternRecognition()
reducer = MAUS.ReducePyDoNothing()
# my_output = MAUS.OutputPyJSON()
my_output = MAUS.OutputCppRoot()
MAUS.Go(my_input, my_map, reducer, my_output, datacards)
