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jkuhl-uni 2022-12-21 18:20:13 +01:00
parent 3fdbc371b2
commit aa8fa2c0c5
1 changed files with 14 additions and 13 deletions
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27
pyerrors/input/openQCD.py
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@ -12,7 +12,6 @@ from ..obs import CObs
from ..correlators import Corr
def read_rwms(path, prefix, version='2.0', names=None, **kwargs):
"""Read rwms format from given folder structure. Returns a list of length nrw
@ -1014,7 +1013,11 @@ def read_ms5_xsf(path, prefix, qc, corr, sep="r", **kwargs):
Returns
-------
Corr
A complex valued `Corr` object containing the data read from the files.
A complex valued `Corr` object containing the data read from the files. In case of boudary to bulk correlators.
or
CObs
A complex valued `CObs` object containing the data read from the files. In case of boudary to boundary correlators.
Raises
------
@ -1066,7 +1069,7 @@ def read_ms5_xsf(path, prefix, qc, corr, sep="r", **kwargs):
t = fp.read(4)
tmax = struct.unpack('i', t)[0]
t = fp.read(4)
# bnd = struct.unpack('i', t)[0]
bnd = struct.unpack('i', t)[0]
placesBI = ["gS", "gP",
"gA", "gV",
@ -1075,7 +1078,6 @@ def read_ms5_xsf(path, prefix, qc, corr, sep="r", **kwargs):
"lT", "lTt"]
placesBB = ["g1", "l1"]
# bytes per config
# the chunks have the following structure:
# confignumber, 10x timedependent complex correlators as doubles, 2x timeindependent complex correlators as doubles
@ -1115,18 +1117,17 @@ def read_ms5_xsf(path, prefix, qc, corr, sep="r", **kwargs):
s += ", " + str(len(realsamples[rep][t]))
s += " samples"
print(s)
print("Asserted run parameters:\n T:", tmax, "kappa:", kappa, "csw:", csw, "dF:", dF, "zF:", zF)
print("Asserted run parameters:\n T:", tmax, "kappa:", kappa, "csw:", csw, "dF:", dF, "zF:", zF, "bnd:", bnd)
# we have the data now... but we need to re format the whole thing and put it into Corr objects.
realObs = []
imagObs = []
compObs = []
for t in range(int(len(tmpcorr) / 2)):
realObs.append(Obs([realsamples[rep][t] for rep in range(repnum)], names=names, idl=cnfgs))
for t in range(int(len(tmpcorr) / 2)):
imagObs.append(Obs([imagsamples[rep][t] for rep in range(repnum)], names=names, idl=cnfgs))
for t in range(int(len(tmpcorr) / 2)):
compObs.append(CObs(realObs[t], imagObs[t]))
return Corr(compObs)
compObs.append(CObs(Obs([realsamples[rep][t] for rep in range(repnum)], names=names, idl=cnfgs),
Obs([imagsamples[rep][t] for rep in range(repnum)], names=names, idl=cnfgs)))
if len(compObs) == 1:
return compObs[0]
else:
return Corr(compObs)