def test_vertex_fitting(tmp_path):
detector, trackingGeometry, decorators = getOpenDataDetector()
field = acts.ConstantBField(acts.Vector3(0, 0, 2 * u.T))
from vertex_fitting import runVertexFitting, VertexFinder
s = Sequencer(events=100)
runVertexFitting(
field,
vertexFinder=VertexFinder.Truth,
outputDir=tmp_path,
s=s,
)
alg = AssertCollectionExistsAlg(["fittedVertices"], name="check_alg")
s.addAlgorithm(alg)
s.run()
assert alg.events_seen == s.config.events
def test_vertex_fitting_reading(
tmp_path, ptcl_gun, rng, finder, inputTracks, entries, assert_root_hash
):
ptcl_file = tmp_path / "particles.root"
detector, trackingGeometry, decorators = GenericDetector.create()
field = acts.ConstantBField(acts.Vector3(0, 0, 2 * u.T))
from vertex_fitting import runVertexFitting, VertexFinder
inputTrackSummary = None
if inputTracks:
from truth_tracking import runTruthTracking
s2 = Sequencer(numThreads=1, events=100)
runTruthTracking(
trackingGeometry,
field,
digiConfigFile=Path(
Path(__file__).parent.parent.parent.parent
/ "Examples/Algorithms/Digitization/share/default-smearing-config-generic.json"
),
outputDir=tmp_path,
s=s2,
)
s2.run()
del s2
inputTrackSummary = tmp_path / "tracksummary_fitter.root"
assert inputTrackSummary.exists()
assert ptcl_file.exists()
else:
s0 = Sequencer(events=100, numThreads=1)
evGen = ptcl_gun(s0)
s0.addWriter(
RootParticleWriter(
level=acts.logging.INFO,
inputParticles=evGen.config.outputParticles,
filePath=str(ptcl_file),
)
)
s0.run()
del s0
assert ptcl_file.exists()
finder = VertexFinder[finder]
s3 = Sequencer(numThreads=1)
runVertexFitting(
field,
inputParticlePath=ptcl_file,
inputTrackSummary=inputTrackSummary,
outputDir=tmp_path,
vertexFinder=finder,
s=s3,
)
alg = AssertCollectionExistsAlg(["fittedVertices"], name="check_alg")
s3.addAlgorithm(alg)
s3.run()
vertexing_file = tmp_path / "performance_vertexing.root"
assert vertexing_file.exists()
assert_entries(vertexing_file, "vertexing", entries)
assert_root_hash(vertexing_file.name, vertexing_file)