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| produceTreeForValidation.parser = argparse.ArgumentParser() |
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| produceTreeForValidation.type |
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| produceTreeForValidation.str |
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| produceTreeForValidation.required |
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| produceTreeForValidation.args = parser.parse_args() |
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int | produceTreeForValidation.count = 0 |
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int | produceTreeForValidation.correct = 0 |
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| produceTreeForValidation.matrix = defaultdict(int) |
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| produceTreeForValidation.labels_set = set() |
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| produceTreeForValidation.net = caffe.Net(args.proto, args.model, caffe.TEST) |
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| produceTreeForValidation.db = leveldb.LevelDB(args.leveldb) |
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string | produceTreeForValidation.fileNameH = args.hdf5+".0.h5" |
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| produceTreeForValidation.h_f = h5py.File(fileNameH, "r") |
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| produceTreeForValidation.a_group_key = h_f.keys()[0] |
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| produceTreeForValidation.h_data = list(h_f[a_group_key]) |
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| produceTreeForValidation.h_size = len(h_data) |
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| produceTreeForValidation.t = ROOT.TTree( 't1', 'tree with histos' ) |
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| produceTreeForValidation.fout = ROOT.TFile("output.root", "RECREATE") |
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| produceTreeForValidation.arrpidNuMu = np.zeros(1, dtype=float) |
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| produceTreeForValidation.arrpidNue = np.zeros(1, dtype=float) |
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| produceTreeForValidation.arrpidNuTau = np.zeros(1, dtype=float) |
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| produceTreeForValidation.arrpidNC = np.zeros(1, dtype=float) |
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| produceTreeForValidation.arrpidCosmic = np.zeros(1, dtype=float) |
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| produceTreeForValidation.truelabel = np.zeros(1, dtype=int) |
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| produceTreeForValidation.nhit = np.zeros(1, dtype=int) |
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| produceTreeForValidation.tVertX = np.zeros(1, dtype=float) |
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| produceTreeForValidation.tVertY = np.zeros(1, dtype=float) |
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| produceTreeForValidation.tVertZ = np.zeros(1, dtype=float) |
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int | produceTreeForValidation.nEvents = 100000 |
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int | produceTreeForValidation.h_count = 0 |
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int | produceTreeForValidation.fileCountH = 0 |
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| produceTreeForValidation.datum = caffe.proto.caffe_pb2.Datum() |
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| produceTreeForValidation.label = int(datum.label) |
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| produceTreeForValidation.image = caffe.io.datum_to_array(datum) |
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string | produceTreeForValidation.fileNameHadd = args.hdf5+"." |
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| produceTreeForValidation.hadd_f = h5py.File(fileNameHadd, "r") |
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| produceTreeForValidation.a_group_key_add = hadd_f.keys()[0] |
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| produceTreeForValidation.out = net.forward_all(data=np.asarray([image])) |
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| produceTreeForValidation.plabel = int(out['prob'][0].argmax(axis=0)) |
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| produceTreeForValidation.lepSum = np.zeros(5, dtype=float) |
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| produceTreeForValidation.lepton = eltl.labelToLepton(entry) |
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| produceTreeForValidation.iscorrect = plabel |
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