ambiguity_solver_full_chain.py File Reference

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Namespaces
namespace	ambiguity_solver_full_chain

Functions
def	ambiguity_solver_full_chain.readDataSet
def	ambiguity_solver_full_chain.prepareInferenceData
def	ambiguity_solver_full_chain.clusterTracks
def	ambiguity_solver_full_chain.subClustering
def	ambiguity_solver_full_chain.renameCluster

Variables
tuple	ambiguity_solver_full_chain.start time.time()
tuple	ambiguity_solver_full_chain.CKF_files sorted(glob.glob("odd_output" + "/event0000000[0-9][0-9]-tracks_ckf.csv"))
tuple	ambiguity_solver_full_chain.data readDataSet(CKF_files)
list	ambiguity_solver_full_chain.clusteredData []
list	ambiguity_solver_full_chain.cleanedData []
tuple	ambiguity_solver_full_chain.t1 time.time()
tuple	ambiguity_solver_full_chain.clustered clusterTracks(event)
tuple	ambiguity_solver_full_chain.t2 time.time()
tuple	ambiguity_solver_full_chain.duplicateClassifier torch.load("duplicateClassifier.pt")
tuple	ambiguity_solver_full_chain.t3 time.time()
list	ambiguity_solver_full_chain.output_predict []
tuple	ambiguity_solver_full_chain.x torch.tensor(x, dtype=torch.float32)
	ambiguity_solver_full_chain.cleanedEvent clusteredEvent
tuple	ambiguity_solver_full_chain.idx
tuple	ambiguity_solver_full_chain.t4 time.time()
int	ambiguity_solver_full_chain.nb_part 0
int	ambiguity_solver_full_chain.nb_track 0
int	ambiguity_solver_full_chain.nb_fake 0
int	ambiguity_solver_full_chain.nb_duplicate 0
int	ambiguity_solver_full_chain.nb_good_match 0
int	ambiguity_solver_full_chain.nb_reco_part 0
int	ambiguity_solver_full_chain.nb_reco_fake 0
int	ambiguity_solver_full_chain.nb_reco_duplicate 0
int	ambiguity_solver_full_chain.nb_reco_track 0
tuple	ambiguity_solver_full_chain.end time.time()
list	ambiguity_solver_full_chain.newFile file[:-4]