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convert_root2pq_EBshower.py
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convert_root2pq_EBshower.py
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import pyarrow.parquet as pq
import pyarrow as pa # pip install pyarrow==0.7.1
import ROOT
import numpy as np
import glob, os
import argparse
parser = argparse.ArgumentParser(description='Process some integers.')
#parser.add_argument('-i', '--infile', default='output.root', type=str, help='Input root file.')
parser.add_argument('-i', '--infile', default=['output.root'], nargs='+', type=str, help='Input root file.')
#parser.add_argument('-i', '--infile', default=['output.root'], type=list, help='Input root file.')
parser.add_argument('-o', '--outdir', default='parquet', type=str, help='Output pq file dir.')
parser.add_argument('-d', '--decay', default='test', type=str, help='Decay name.')
parser.add_argument('-n', '--idx', default=0, type=int, help='Input root file index.')
#parser.add_argument('-w', '--wgt_file', default=None, type=str, help='Weight file.')
parser.add_argument('-w', '--wgt_files', default=None, nargs='+', type=str, help='Weight file.')
args = parser.parse_args()
def crop_EBshower(imgEB, iphi, ieta, window=32):
# NOTE: image window here should correspond to the one used in RHAnalyzer
off = window//2
iphi = int(iphi)+1 # seed positioned at [15,15]
ieta = int(ieta)+1 # seed positioned at [15,15]
# Wrap-around on left side
if iphi < off:
diff = off-iphi
img_crop = np.concatenate((imgEB[:,ieta-off:ieta+off,-diff:],
imgEB[:,ieta-off:ieta+off,:iphi+off]), axis=-1)
# Wrap-around on right side
elif 360-iphi < off:
diff = off - (360-iphi)
img_crop = np.concatenate((imgEB[:,ieta-off:ieta+off,iphi-off:],
imgEB[:,ieta-off:ieta+off,:diff]), axis=-1)
# Nominal case
else:
img_crop = imgEB[:,ieta-off:ieta+off,iphi-off:iphi+off]
return img_crop
def get_weight_2d(m0, pt, m0_edges, pt_edges, wgts):
idx_m0 = np.argmax(m0 <= m0_edges)-1
idx_pt = np.argmax(pt <= pt_edges)-1
#print(idx_m0, idx_pt)
return wgts[idx_m0, idx_pt]
hmvpts, m_edgess, pt_edgess = {}, {}, {}
if args.wgt_files is not None:
nPasses = len(args.wgt_files)
for p,wgt_file in enumerate(args.wgt_files):
w = np.load(wgt_file)
hmvpts[p], m_edgess[p], pt_edgess[p] = w['mvpt'], w['m_edges'], w['pt_edges']
rhTreeStr = args.infile
print " >> Input file:",rhTreeStr
rhTree = ROOT.TChain("fevt/RHTree")
for f in rhTreeStr:
rhTree.Add(f)
nEvts = rhTree.GetEntries()
assert nEvts > 0
print " >> nEvts:",nEvts
outStr = '%s/%s.parquet.%d'%(args.outdir, args.decay, args.idx)
print " >> Output file:",outStr
##### EVENT SELECTION START #####
# Event range to process
iEvtStart = 0
#iEvtEnd = 10
iEvtEnd = nEvts
assert iEvtEnd <= nEvts
print " >> Processing entries: [",iEvtStart,"->",iEvtEnd,")"
nPhos = 0
data = {} # Arrays to be written to parquet should be saved to data dict
sw = ROOT.TStopwatch()
sw.Start()
for iEvt in range(iEvtStart,iEvtEnd):
# Initialize event
rhTree.GetEntry(iEvt)
if iEvt % 10000 == 0:
print " .. Processing entry",iEvt
#if rhTree.m0 < 100. or rhTree.m0 > 110.:
# continue
idx = [rhTree.runId, rhTree.lumiId, rhTree.eventId]
#EB_time = np.array(rhTree.EB_time).reshape(170,360)
#TracksAtEB_pt = np.array(rhTree.TracksPt_EB).reshape(170,360)
#X_EB = np.stack([TracksAtEB_pt, EB_time], axis=0)
#X_EB = np.array(rhTree.EB_energy).reshape(1,170,360)
X_EB = np.array(rhTree.TracksPt_EB).reshape(1,170,360)
nPhoEvt = len(rhTree.SC_mass)
if args.wgt_files is not None:
rands = np.random.random((nPhoEvt, nPasses))
for i in range(nPhoEvt):
data['idx'] = idx + [i]
#data['m0'] = rhTree.m0
data['m'] = rhTree.SC_mass[i]
data['pt'] = rhTree.SC_pT[i]
data['iphi'] = rhTree.SC_iphi[i]
data['ieta'] = rhTree.SC_ieta[i]
if data['ieta'] >= 170-16:
continue
if rhTree.pho_pT[i] > 100.: continue
if args.wgt_files is not None:
keepEG = True
for p in range(nPasses):
if rands[i,p] < get_weight_2d(data['m'], data['pt'], m_edgess[p], pt_edgess[p], hmvpts[p]):
keepEG = False
if keepEG == False: continue
#if rands[i] < get_weight_2d(data['m'], data['pt'], m_edges, pt_edges, hmvpt):
# continue
data['A_p4'] = [
rhTree.SC_E[i]
,rhTree.SC_pT[i]
,rhTree.SC_eta[i]
,rhTree.SC_phi[i]
]
#data['A_ancestry'] = [A_pdgId[i], A_mothPdgId[i], OutPart_pdgId[i]]
data['A_pteta'] = [rhTree.SC_pT[i], rhTree.SC_eta[i]]
#j = 0 if i == 1 else 1
#if not (OutPart_pdgId[j] == 22 or abs(OutPart_pdgId[i]) <= 5 or abs(OutPart_pdgId[i]) == 21):
# continue
data['pho_pteta'] = [rhTree.pho_pT[i], rhTree.pho_eta[i]]
data['pho_p4'] = [rhTree.pho_E[i], rhTree.pho_pT[i], rhTree.pho_eta[i], rhTree.pho_phi[i]]
data['pho_id'] = [
rhTree.pho_r9[i]
,rhTree.pho_sieie[i]
,rhTree.pho_phoIso[i]
,rhTree.pho_chgIso[i]
,rhTree.pho_chgIsoWrongVtx[i]
,rhTree.pho_Eraw[i]
,rhTree.pho_phiWidth[i]
,rhTree.pho_etaWidth[i]
,rhTree.pho_scEta[i]
,rhTree.pho_sieip[i]
,rhTree.pho_s4[i]
]
data['pho_vars'] = [
rhTree.pho_r9[i]
,rhTree.pho_HoE[i]
,rhTree.pho_hasPxlSeed[i]
,rhTree.pho_sieie[i]
,rhTree.pho_phoIso[i]
,rhTree.pho_trkIso[i]
,rhTree.pho_chgIsoCorr[i]
,rhTree.pho_neuIsoCorr[i]
,rhTree.pho_phoIsoCorr[i]
,rhTree.pho_bdt[i]
]
data['X'] = np.array(rhTree.SC_energy[i]).reshape(1,32,32)
sc_energyT = np.array(rhTree.SC_energyT[i]).reshape(1,32,32)
sc_energyZ = np.array(rhTree.SC_energyZ[i]).reshape(1,32,32)
data['Xtz'] = np.concatenate((sc_energyT, sc_energyZ), axis=0)
#data['X_aod'] = np.array(rhTree.SCaod_energy[i]).reshape(1,32,32)
#scaod_energyT = np.array(rhTree.SCaod_energyT[i]).reshape(1,32,32)
#scaod_energyZ = np.array(rhTree.SCaod_energyZ[i]).reshape(1,32,32)
#data['Xtz_aod'] = np.concatenate((scaod_energyT, scaod_energyZ), axis=0)
#data['X_reco'] = np.array(rhTree.SCreco_energy[i]).reshape(1,32,32)
#screco_energyT = np.array(rhTree.SCreco_energyT[i]).reshape(1,32,32)
#screco_energyZ = np.array(rhTree.SCreco_energyZ[i]).reshape(1,32,32)
#data['Xtz_reco'] = np.concatenate((screco_energyT, screco_energyZ), axis=0)
sc_cms = crop_EBshower(X_EB, data['iphi'], data['ieta'])
#if sc_cms.shape != data['Xtz'].shape:
#if sc_cms.shape[1] != data['Xtz'].shape[1]:
# print(sc_cms.shape, data['ieta'], data['iphi'])
# print(data['Xtz'].shape)
data['Xtzk'] = np.concatenate([sc_cms, data['Xtz']], axis=0)
pqdata = [pa.array([d]) if np.isscalar(d) or type(d) == list else pa.array([d.tolist()]) for d in data.values()]
table = pa.Table.from_arrays(pqdata, data.keys())
if nPhos == 0:
writer = pq.ParquetWriter(outStr, table.schema, compression='snappy')
writer.write_table(table)
nPhos += 1
writer.close()
sw.Stop()
print " >> nPhos:",nPhos
print " >> Real time:",sw.RealTime()/60.,"minutes"
print " >> CPU time: ",sw.CpuTime() /60.,"minutes"
print " >> ======================================"
pqIn = pq.ParquetFile(outStr)
print(pqIn.metadata)
print(pqIn.schema)
X = pqIn.read_row_group(0, columns=['idx.list.item','iphi','ieta','pho_p4.list.item']).to_pydict()
X = pqIn.read_row_group(1, columns=['idx.list.item','iphi','ieta','pho_p4.list.item']).to_pydict()
print(X)
#X = pqIn.read_row_group(0, columns=['X.list.item.list.item.list.item']).to_pydict()['X']
#X = pqIn.read(['X.list.item.list.item.list.item']).to_pydict()['X']
#X = np.float32(X)