f = datainfo.open_experiment_data(mode='r')
if args.matching:
lsensors = datainfo.sensors[isig:fsig]
lclusters = datainfo.clusters[isig:fsig]
smatching = compute_signals_matching(datainfo, lsensors, rescale=args.rescale, globalc=args.globalclust)
print (len(smatching))
else:
lsensors = datainfo.sensors
lclusters = datainfo.clusters
smatching = []
for nclusters, sensor in zip(lclusters, lsensors):
print(sensor)
if args.matching:
mapping = compute_matching_mapping(nclusters, sensor, smatching)
else:
mapping = None
lfrstrings = []
lseqstrings = []
lacounts = []
for dfile, ename in zip(datainfo.datafiles, datainfo.expnames):
print(dfile, ename)
d = datainfo.get_peaks_time(f, dfile, sensor)
if d is not None:
clpeaks = datainfo.compute_peaks_labels(f, dfile, sensor, nclusters, globalc=args.globalclust)
timepeaks = d[()]
peakstr, peakfreq, lstrings = peaks_sequence_frequent_strings(timepeaks, gap=gap, rand=rand, sup=sup)
lsensors = datainfo.sensors[isig:fsig]
lclusters = datainfo.clusters[isig:fsig]
smatching = compute_signals_matching(datainfo,
lsensors,
rescale=args.rescale,
globalc=args.globalclust)
print(len(smatching))
else:
lsensors = datainfo.sensors
lclusters = datainfo.clusters
smatching = []
for nclusters, sensor in zip(lclusters, lsensors):
print(sensor)
if args.matching:
mapping = compute_matching_mapping(nclusters, sensor,
smatching)
else:
mapping = None
lfrstrings = []
lseqstrings = []
lacounts = []
for dfile, ename in zip(datainfo.datafiles, datainfo.expnames):
print(dfile, ename)
d = datainfo.get_peaks_time(f, dfile, sensor)
if d is not None:
clpeaks = datainfo.compute_peaks_labels(
f, dfile, sensor, nclusters, globalc=args.globalclust)
timepeaks = d[()]
save_sync_sequence(lsynchs, dfile)
if args.sequential:
save_sequential_transactions(lsynchs, ename, lsensors, gap=gap)
# print len(lsynchs)
# for i, s in enumerate(datainfo.sensors):
# lsyn_fil = select_sensor(lsynchs, i, 1)
# print s, len(lsyn_fil)
# gen_peaks_contingency(peakdata, datainfo.sensors, dfile, datainfo.clusters)
if args.matching:
dmappings = {}
for ncl, sensor in zip(lclusters, lsensors):
dmappings[sensor] = compute_matching_mapping(ncl, sensor, smatching)
else:
dmappings = None
if args.draw and args.matching:
draw_synchs(lsynchs, dfile, ename, lsensors, window, datainfo.clusters[0], nmatch=len(smatching),
dmappings=dmappings)
if args.boxes:
draw_synchs_boxes(lsynchs, dfile, ename, lsensors, window, datainfo.clusters[0], nmatch=len(smatching),
dmappings=dmappings)
if args.histogram:
length_synch_frequency_histograms(lsynchs, dfile, ename, lsensors, window=int(round(window)))
if args.coincidence:
