a bit of housekeeping

This commit is contained in:
jkuhl-uni 2022-12-20 18:01:46 +01:00
parent 4fb27462bd
commit 11ffd4571d

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@ -1072,15 +1072,12 @@ def read_ms5_xsf(path, prefix, qc, corr):
if not corr in placesBB:
tmpcorr = asascii[1+2*tmax*placesBI.index(corr):1+2*tmax*placesBI.index(corr)+2*tmax]
corrres = [[],[]]
for i in range(len(tmpcorr)): corrres[i%2].append(tmpcorr[i])
for t in range(int(len(tmpcorr)/2)): realsamples[t].append(corrres[0][t])
for t in range(int(len(tmpcorr)/2)): imagsamples[t].append(corrres[1][t])
else:
tmpcorr = asascii[1+2*tmax*len(placesBI):1+2*tmax*len(placesBI)+2]
corrres = [[],[]]
for i in range(len(tmpcorr)):
corrres[i%2].append(tmpcorr[i])
tmpcorr = asascii[1+2*tmax*len(placesBI)+2*placesBI.index(corr):1+2*tmax*len(placesBI)+2*placesBI.index(corr)+2]
corrres = [[],[]]
for i in range(len(tmpcorr)): corrres[i%2].append(tmpcorr[i])
for t in range(int(len(tmpcorr)/2)): realsamples[t].append(corrres[0][t])
for t in range(int(len(tmpcorr)/2)): imagsamples[t].append(corrres[1][t])
# we have the data now... but we need to re format the whole thing and put it into Corr objects.
realObs = []
imagObs = []