def buildIndex(inputfilename,difxfile,antList):
# Get metadata
print ('Checking and indexing %s' % (inputfilename))
(numfreqs, freqs) = parseDiFX.get_freqtable_info(inputfilename)
(numtelescopes, telescopes) = parseDiFX.get_telescopetable_info(inputfilename)
(numdatastreams, datastreams) = parseDiFX.get_datastreamtable_info(inputfilename)
(numbaselines, baselines) = parseDiFX.get_baselinetable_info(inputfilename)
if numfreqs == 0 or numtelescopes == 0 or numdatastreams == 0 or numbaselines == 0:
print ("Couldn't parse input file " + inputfilename + " correctly")
sys.exit(-1)
# Read visibility records one by one
indices={}
peak_sec=0
while True:
offset = difxfile.tell()
(vishdr,binhdr) = getVisibilityHeader(difxfile)
if len(vishdr) <= 0:
break
# Visibility properties
baseline = vishdr[0]
seconds = vishdr[2]
freqindex = vishdr[5]
polpair = vishdr[6]
uvw = vishdr[9:12]
freq = freqs[freqindex]
# Antenna order as in difx2mark4: ref=ant1="256*nr", rem=ant2="nr%256"
ant2 = baseline % 256
ant1 = (baseline-ant2)/256
ant1name = telescopes[ant1-1].name.upper()
ant2name = telescopes[ant2-1].name.upper()
# Number of channels in this baseband
nchan = freqs[freqindex].numchan / freqs[freqindex].specavg
# Info string
sband = 'U'
if freq.lsb:
sband = 'L'
#key = ant1name + '-' + ant2name + '/' + polpair + '/' + str(freqindex) + '@' + str(freq.freq) + sband + ':' + str(seconds)
key = ant1name + '-' + ant2name + '/' + str(freq.freq) + sband + '_' + polpair + ':' + str(seconds) + ':' + str(nchan)
# Read the entire visibility data from disk
rawvis = difxfile.read(8*nchan)
if len(rawvis) < 8*nchan:
break
# Indexing
if (ant1name in antList) or (ant2name in antList):
indices[key] = offset
#print key, uvw
if seconds > peak_sec:
peak_sec = seconds
print ('.'),
sys.stdout.flush()
print ('\nIndexing complete, found %d records' % (len(indices)))
return indices
def stitchVisibilityfile(basename, cfg):
# Get settings
target_bw = cfg['target_bw']
target_nchan = cfg['target_nchan']
stitch_basefreqs = cfg['stitch_basefreqs']
stitch_endfreqs = cfg['stitch_endfreqs']
stitch_antennas = cfg['stitch_antennas']
stitch_oversamplenum = cfg['stitch_oversamplenum']
stitch_oversampledenom = cfg['stitch_oversampledenom']
blank_viz = numpy.fromstring('\0' * 8 * target_nchan, dtype='complex64')
# All polarisation pairs 'RR', 'RL', ... to 'YL'
if cfg['stitch_nstokes'] > 2:
pols_list = ['R', 'L', 'X', 'Y']
polpairs, tmp = setCrossProd(pols_list, pols_list)
else:
polpairs = ['RR', 'LL', 'XX', 'YY'] # parallel-hand only
polpairs += ['RX', 'LY', 'XR', 'YL'] # potential parallel-hand
polpairs += ['LX', 'RY', 'XL', 'YR'
] # potential parallel-hand (depends on polconvert.py)
# Extract meta-infos from the DiFX .INPUT file
if basename.endswith(('.difx', 'input')):
basename = basename[:basename.rfind('.')]
basename_pathless = basename
basedir = os.getcwd()
if basename.rfind('/') >= 0:
basename_pathless = basename[(basename.rfind('/') + 1):]
basedir = basename[:basename.rfind('/')]
inputfile = basename + '.input'
inputfile_cfg = parseDiFX.get_common_settings(inputfile)
(numfreqs, freqs) = parseDiFX.get_freqtable_info(inputfile)
(numtelescopes, telescopes) = parseDiFX.get_telescopetable_info(inputfile)
(numdatastreams,
datastreams) = parseDiFX.get_datastreamtable_info(inputfile)
(numbaselines, baselines) = parseDiFX.get_baselinetable_info(inputfile)
if 'difxfile' not in inputfile_cfg:
parser.error("Couldn't parse COMMON SETTINGS of input file " +
inputfile + " correctly")
if numfreqs == 0 or numtelescopes == 0 or numdatastreams == 0 or numbaselines == 0:
parser.error("Couldn't parse input file " + inputfile + " correctly")
# Internal frequency tables and remappings from old to new freq indices
out_freqs = {} # dict out['id']=Freq()
in_rec_freqs = 0 # num of distinct recorded freqs
n_max_freqs = 256
freq_remaps = [-1] * n_max_freqs
freq_remaps_isNew = [False] * n_max_freqs
# Collect all recorded freqs listed in DATASTREAMS
for d in datastreams:
for fqidx in d.recfreqindex:
i = findFreqObj(out_freqs, freqs[fqidx])
if (i == None):
id = inventNextKey(out_freqs)
freq_remaps[fqidx] = id
out_freqs[id] = copy.deepcopy(freqs[fqidx])
in_rec_freqs += 1
print(("Keeping recorded frequency : index %2d/%2d : %s" %
(fqidx, id, freqs[fqidx].str())))
# Collect all zoom bands listed in DATASTREAMS that already match the target bandwidth
for d in datastreams:
for fqidx in d.zoomfreqindex:
zf = freqs[fqidx]
if (zf.bandwidth != target_bw) or (
(zf.numchan // zf.specavg) != target_nchan):
# print ("Skipping zoom frequency : index %d : %s" % (fqidx,zf.str()))
continue
i = findFreqObj(out_freqs, zf)
if (i == None):
id = inventNextKey(out_freqs)
freq_remaps[fqidx] = id
out_freqs[id] = copy.deepcopy(zf)
print(("Keeping zoom frequency : index %2d/%2d : %s" %
(fqidx, id, zf.str())))
# Check stitch config: invent new zoom bands if necessary
stitch_out_ids = []
for fsky in stitch_basefreqs:
match_existing = [(out_freqs[key].freq == fsky
and not out_freqs[key].lsb)
for key in out_freqs.keys()]
exists = any(match_existing)
if exists:
# Re-use an existing matching zoom frequency
i = match_existing.index(True)
id = out_freqs.keys()[i]
zf = out_freqs[id]
stitch_out_ids.append(id)
old_id = freq_remaps.index(id)
print(("Re-using zoom for stitch : index %2d/%2d : %s" %
(old_id, id, zf.str())))
else:
# Invent new zoom
zf = parseDiFX.Freq()
zf.freq = fsky
zf.bandwidth = target_bw
zf.numchan = target_nchan
zf.specavg = 1
zf.lsb = False # TODO
id = inventNextKey(out_freqs)
out_freqs[id] = copy.deepcopy(zf)
stitch_out_ids.append(id)
print(("Creating new zoom frequency : index --/%2d : %s" %
(id, zf.str())))
stitch_ids = [n for n in range(len(stitch_out_ids))]
# Also map each to-be-stitched-multi-zoom into respective new single post-stitch zoom
#for fi in range(in_rec_freqs,len(freqs)):
for fi in range(0, len(freqs)):
if (freqs[fi].bandwidth
== target_bw) and (freqs[fi].numchan // freqs[fi].specavg
== target_nchan):
# Retain one-to-one map for existing matching zoom freqs
freq_remaps_isNew[fi] = False
continue
lowedgefreq = freqs[fi].freq
if freqs[fi].lsb:
lowedgefreq -= freqs[fi].bandwidth
stid = getGlueIndex(lowedgefreq, freqs[fi].bandwidth, cfg)
#print "For freqindex", fi, ", stid is", stid, ", and stitch_out_ids for this freqid is", stitch_out_ids[stid]
if (stid >= 0):
#if freqs[fi].lsb:
# # Ignore LSB. All zoom outputs should be USB.
# print ("Ignore LSB %s" % (freqs[fi].str()))
# continue
# Add to some many-to-one map of invented zoom freqs
freq_remaps[fi] = stitch_out_ids[stid]
freq_remaps_isNew[fi] = True
print((
"Map zoom %s to stitched single %12.6f--%12.6f : in fq#%2d -> stitch#%d -> out fq#%2d"
% (freqs[fi].str(), stitch_basefreqs[stid],
stitch_endfreqs[stid], fi, stid, stitch_out_ids[stid])))
# Read the DiFX .difx/DIFX_* file
#glob_pattern = basename + '.difx/DIFX_*.s*.b*'
glob_pattern = inputfile_cfg['difxfile'] + '/DIFX_*.s*.b*'
difxfileslist = glob.glob(glob_pattern)
if len(difxfileslist) <= 0:
print(('Error: no visibility data file found in %s!' % (glob_pattern)))
return
#difxfilename = difxfileslist[0]
for difxfilename in difxfileslist:
global vis_hashtable
vis_hashtable = {}
global vis_hashtable_cleanupSec
vis_hashtable_cleanupSec = 0
difxfilename_pathless = difxfilename
if difxfilename.rfind('/') >= 0:
difxfilename_pathless = difxfilename[(difxfilename.rfind('/') +
1):]
difxfile = open(difxfilename, 'rb')
difxoutdir = basedir + '/' + basename_pathless + 'D2D.difx'
difxoutname = difxoutdir + '/' + difxfilename_pathless
try:
os.mkdir(difxoutdir)
except:
pass
if os.path.exists(difxoutname):
print(
('Warning: %s already exists, skipping the processing of %s!' %
(difxoutname, difxfilename)))
return
difxout = open(difxoutname, 'wb')
# Pull out antenna indices based on telescope names
telNames = [t.name for t in telescopes]
stAntIDs = []
if len(stitch_antennas) == 1 and stitch_antennas[0] == "*":
for i in range(len(telescopes)):
stAntIDs.append(i + 1)
else:
for sa in stitch_antennas:
id = [
n for n in range(len(telescopes))
if telescopes[n].name == sa
]
if len(id) != 1:
print((
"Warning: got %d hits for telescope %s in .difx file telescope list of %s!"
% (len(id), sa, str(telNames))))
continue
id = id[0] + 1 # index (0..N-1) into antenna nr (1..N)
stAntIDs.append(id)
# Affected baselines; data of these are stored in stitching memory, other baselines need no stitching
baseline_list = []
for sid in stAntIDs:
# Cross
for t in range(numtelescopes):
tid = t + 1 # index (0..N-1) into antenna nr (1..N)
if (tid != sid):
baseline_list.append(tid + sid * 256)
baseline_list.append(sid + tid * 256)
# Auto
baseline_list.append(sid + sid * 256)
# Dictionary of per-polarizationpair working buffers into which spectra are stitched
stitch_workbufs = {
bline: {
polkey:
{bandkey: numpy.copy(blank_viz)
for bandkey in stitch_ids}
for polkey in polpairs
}
for bline in baseline_list
}
stitch_chcounts = {
bline: {
polkey: {bandkey: 0
for bandkey in stitch_ids}
for polkey in polpairs
}
for bline in baseline_list
}
stitch_freqbws = {
bline: {
polkey: {bandkey: []
for bandkey in stitch_ids}
for polkey in polpairs
}
for bline in baseline_list
}
stitch_timestamps = {
bline: {
polkey: {bandkey: -1
for bandkey in stitch_ids}
for polkey in polpairs
}
for bline in baseline_list
}
nstitched = 0
ncopied = 0
nskipped = 0
nincomplete = 0
# Parse each visibility entry
seconds_prev = -1
seconds_first = 0
seconds_report_prev = 0
while True:
(vishdr, binhdr) = getVisibilityHeader(difxfile)
if len(vishdr) <= 0:
break
# Visibility properties
baseline = vishdr[0]
mjd = vishdr[1]
seconds = vishdr[2]
freqindex = vishdr[5]
polpair = vishdr[6]
weight = vishdr[8]
uvw = vishdr[9:12]
# Antenna order as in difx2mark4: ref=ant1="256*nr", rem=ant2="nr%256"
ant2 = baseline % 256
ant1 = (baseline - ant2) // 256
ant1name = telescopes[ant1 - 1].name
ant2name = telescopes[ant2 - 1].name
T = mjd + seconds / 86400.0
baselinestr = '%s-%s' % (ant1name, ant2name)
# Number of channels in this baseband
nchan = freqs[freqindex].numchan // freqs[freqindex].specavg
fsky = freqs[freqindex].freq
bw = freqs[freqindex].bandwidth
if freqs[freqindex].lsb:
fsky -= bw
# Read the entire visibility data from disk
rawvis = difxfile.read(8 * nchan)
if len(rawvis) != 8 * nchan:
print('Short read! Stopping.')
break
if (seconds != seconds_prev):
seconds_prev = seconds
if cfg['verbose']:
print((('\n---- %d %12.7f ' + '-' * 115) % (mjd, seconds)))
elif (seconds - seconds_report_prev) > 1.0:
if seconds_first <= 0:
seconds_first = mjd * 24 * 60 * 60 + seconds
dTstart = mjd * 24 * 60 * 60 + seconds - seconds_first
seconds_report_prev = seconds
print(("at %d %12.7f, %.3f seconds from start" %
(mjd, seconds, dTstart)))
print("\033[F\033[F")
# Remap the frequency reference
out_freqindex = freqindex
if freq_remaps[freqindex] >= 0:
# print ('Remapping input freq index %d to old/new output freq %d' % (freqindex,freq_remaps[freqindex]))
out_freqindex = freq_remaps[freqindex]
vishdr[5] = out_freqindex
binhdr = parseDiFX.make_output_header_v1(vishdr)
stid = getGlueIndex(fsky, bw, cfg)
# Info string
vis_info = '%s-%s/%d/%d(%d):sf<%d>:%.7f/%s mjd:%12.8f nchan:%4d bw:%.7f uvw=%s' % (
ant1name, ant2name, baseline, out_freqindex, freqindex, stid,
fsky, polpair, T, nchan, bw, str(uvw))
# Write out visibility to output file
if baseline not in baseline_list and not stitch_antennas == "*":
# Baseline for which no freq stitching was requested
# Keep data if bandwidth matches
if (bw == target_bw) and (nchan == target_nchan):
if vis_already_written(mjd, seconds, baseline,
out_freqindex, polpair):
if cfg['verbose']:
print(('(copy): %s' % (vis_info)))
continue
if cfg['verbose']:
print(('copy : %s' % (vis_info)))
assert (freq_remaps[freqindex] >= 0)
difxout.write(binhdr)
if cfg['target_chavg'] > 1:
rawvis = spectralAvgRaw(rawvis, cfg['target_chavg'])
difxout.write(rawvis)
ncopied += 1
# Discard data if bandwidth mismatch. Happens e.g. for zoom bands on the non-stitch baselines,
# can ignore these because covered by a different and complete zoomband that doesn't need stitching
else:
nskipped += 1
if cfg['verbose']:
print(('skip : %s' % (vis_info)))
pass
else:
# Baseline where freq stitching was requested
resetStitch = False
if (bw == target_bw):
# Visibility already at target bandwidth, just copy the data
if vis_already_written(mjd, seconds, baseline,
out_freqindex, polpair):
if cfg['verbose']:
print(('(take): %s' % (vis_info)))
continue
if cfg['verbose']:
print(('take : %s' % (vis_info)))
assert (freq_remaps[freqindex] >= 0)
difxout.write(binhdr)
if cfg['target_chavg'] > 1:
rawvis = spectralAvgRaw(rawvis, cfg['target_chavg'])
difxout.write(rawvis)
ncopied += 1
# Signal for further below: clear old working data, set new timestamp
resetStitch = True
else:
# Need to stitch narrowband visibility into wideband context
# Ignore bands not requested to be stitched
if (stid < 0):
if cfg['verbose']:
print(('ignore: %s (not in stitch freqs list)' %
(vis_info)))
continue
# Get the complex data
visdata = numpy.fromstring(rawvis, dtype='complex64')
# Do the oversampling cutout if needed
if stitch_oversamplenum > 1:
oversampleoffsetbw = (
bw - bw * (float(stitch_oversampledenom) /
float(stitch_oversamplenum))) / 2.0
oversamplelengthchannels = int(
(float(stitch_oversampledenom) /
float(stitch_oversamplenum)) * nchan + 0.5)
oversampleoffsetchannels = (
nchan - oversamplelengthchannels) // 2
visdata = visdata[
oversampleoffsetchannels:oversampleoffsetchannels +
oversamplelengthchannels]
fsky += oversampleoffsetbw
bw -= 2 * oversampleoffsetbw
nchan = oversamplelengthchannels
# Determine the region into which this visibility data would be inserted
choffset = int(
((fsky - stitch_basefreqs[stid]) / target_bw) *
target_nchan)
if (choffset + nchan) > target_nchan:
# Sometimes a wide recorded band falls into the stitching frequency region,
# but then may not fit fully into the stitching freq region.
# Options are:
# 1) discard and hope the corresponding zoom band data will appear soon
#if cfg['verbose']:
# print ('ignore: %s (too wide, maybe a recorded instead of zoom freq)' % (vis_info))
#continue
# 2) use the maximum possible amount of the data
nchan_new = target_nchan - choffset
if (nchan_new < 1):
print((
'Unexpected, after cropping a too-wide band ended up with %d remaining channels'
% (nchan_new)))
continue
visdata = visdata[:nchan_new]
bw = bw * nchan_new / nchan
nchan = nchan_new
if cfg['verbose']:
print(('crop : %s to %d chan' %
(vis_info, nchan_new)))
if choffset < 0:
print("This shouldn't happen!")
continue
# Keep track of timestamp
if (stitch_timestamps[baseline][polpair][stid] < 0):
stitch_timestamps[baseline][polpair][stid] = seconds
# Detect a jump in timestamp
if (seconds != stitch_timestamps[baseline][polpair][stid]):
# We assume the input visibilities are stored in time-increasing order,
# so a timestamp change indicates all data of previous time should've been fully read by now (no older data follows)
ncurr = stitch_chcounts[baseline][polpair][stid]
if (ncurr > 0):
T_old = mjd + stitch_timestamps[baseline][polpair][
stid] / 86400.0
nincomplete += 1
msg = '%s-%s/%d/%d:%.7f/%s mjd:%12.8f only %d of %d channels' % (
ant1name, ant2name, baseline, stid,
stitch_basefreqs[stid], polpair, T_old, ncurr,
target_nchan)
if cfg['verbose']:
print((
'Warning: discarded an incomplete stitch: %s'
% (msg)))
assert (ncurr < target_nchan)
stitch_timestamps[baseline][polpair][stid] = seconds
stitch_chcounts[baseline][polpair][stid] = 0
stitch_freqbws[baseline][polpair][stid] = []
stitch_workbufs[baseline][polpair][stid].fill(0)
#print (('---- %d %.7f ' + '-'*80 + '\n') % (mjd,seconds))
# Insert the new visibility data into the correct working buffer at the correct location
stitch_workbufs[baseline][polpair][stid][choffset:(
choffset + nchan)] = visdata
stitch_chcounts[baseline][polpair][stid] += nchan
stitch_freqbws[baseline][polpair][stid].append(bw)
#print (' glue bline %s %s band %d : ch %4d ... %4d : %d new chs : stitched %d ch total' % (baselinestr,polpair,stid,choffset,choffset+nchan-1,nchan,stitch_chcounts[baseline][polpair][stid]))
#print choffset, nchan, choffset+nchan, stitch_chcounts[baseline][polpair][stid], (100.0*stitch_chcounts[baseline][polpair][stid])/target_nchan
# Assembled the full bandwidth now?
if stitch_chcounts[baseline][polpair][stid] >= target_nchan:
TS = mjd + stitch_timestamps[baseline][polpair][
stid] / 86400.0
bwsum = numpy.sum(
stitch_freqbws[baseline][polpair][stid])
vis_info = '%s-%s/%d/%d(%d):sf<%d>:%.7f/%s mjd:%12.8f nchan:%4d bw:%.7f uvw=%s' % (
ant1name, ant2name, baseline, out_freqindex,
freqindex, stid, fsky, polpair, TS,
stitch_chcounts[baseline][polpair][stid], bwsum,
str(uvw))
if vis_already_written(mjd, seconds, baseline,
out_freqindex, polpair):
if cfg['verbose']:
print(('(stch): %s' % (vis_info)))
continue
if cfg['verbose']:
print(('stitch: %s' % (vis_info)))
# Double-check the bandwidth
if numpy.abs(target_bw - bwsum) > 100:
print((
'Warning: stitched bands gave %.6f MHz bandwidth, differs from target %.6f MHz!'
% (bwsum, target_bw)))
# Write header and assembled data
difxout.write(binhdr)
if cfg['target_chavg'] > 1:
vis = spectralAvgNumpy(
stitch_workbufs[baseline][polpair][stid],
cfg['target_chavg'])
else:
vis = stitch_workbufs[baseline][polpair][stid]
vis.tofile(difxout)
nstitched += 1
# Reset
resetStitch = True
if resetStitch and (stid >= 0):
stitch_timestamps[baseline][polpair][stid] = seconds
stitch_chcounts[baseline][polpair][stid] = 0
stitch_freqbws[baseline][polpair][stid] = []
stitch_workbufs[baseline][polpair][stid].fill(0)
#if nstitched > 100: break # quick-exit for debug
## Generate new .input
# New FREQ table
new_freqs = []
for of in out_freqs.keys(): # dict into list
out_freqs[of].specavg = out_freqs[of].specavg * cfg['target_chavg']
new_freqs.append(out_freqs[of])
# New DATASTREAM table
new_datastreams = []
for ds in datastreams:
newds = copy.deepcopy(ds)
ds_specific_remaps = [freq_remaps[zfi] for zfi in ds.zoomfreqindex]
# Determine number of pols in this datastream (for example ALMA has two single-pol datastreams)
npol = len(list(set(newds.recbandpol)))
# Retain all recorded freqs and bands
# newds.recfreqindex = newds.recfreqindex
# newds.recfreqpols = newds.recfreqpols
# newds.recbandindex = newds.recbandindex
# newds.recbandpol = newds.recbandpol
newds.recfreqindex = [freq_remaps[rfi] for rfi in newds.recfreqindex]
# Retain all bandwidth-matching zoom freqs
newds.zoomfreqindex = [
freq_remaps[zfi] for zfi in ds.zoomfreqindex
if (freq_remaps[zfi] >= 0 and not freq_remaps_isNew[zfi])
]
newds.zoomfreqpols = [
ds.zoomfreqpols[ds.zoomfreqindex.index(zfi)]
for zfi in ds.zoomfreqindex
if (freq_remaps[zfi] >= 0 and not freq_remaps_isNew[zfi])
]
# Add all stitched invented freqs
# TODO: This is a quick hack: find ouy why the commented code wasn't working!
#newds.zoomfreqindex += [nzfi for nzfi in stitch_out_ids if nzfi in ds_specific_remaps]
#newds.zoomfreqpols += [npol for nzfi in stitch_out_ids if nzfi in ds_specific_remaps]
newds.zoomfreqindex += [nzfi for nzfi in stitch_out_ids]
newds.zoomfreqpols += [npol for nzfi in stitch_out_ids]
newds.zoomfreqindex = list(
set(newds.zoomfreqindex)
) # keep uniques only, TODO: should shorten zoomfreqpols list equally!
# Translate freqs into bands
newds.nrecband = npol * len(newds.recfreqindex)
newds.nzoomband = npol * len(newds.zoomfreqindex)
newds.zoombandindex = [int(n / npol) for n in range(newds.nzoomband)]
#TODO: The following is necessary if a datastream had no zoom bands to begin with, but I'm not sure it will always work
if len(ds.zoombandpol) == 0:
ds.zoombandpol = newds.recbandpol[:npol]
newds.zoombandpol = ds.zoombandpol[:npol] * (newds.nzoomband // npol)
# Update the counts
newds.nzoomfreq = len(newds.zoomfreqindex)
new_datastreams.append(newds)
if cfg['verbose']:
print(("DS%d : rec freqs : %s" %
(datastreams.index(ds), str(newds.recfreqindex))))
print((" rec freq pols : %s" % (str(newds.recfreqpols))))
print((" rec bands : %s" % (str(newds.recbandindex))))
print((" rec band pols : %s" % (str(newds.recbandpol))))
print((" zoom freqs : %s" % (str(newds.zoomfreqindex))))
print((" zoom freq pols : %s" % (str(newds.zoomfreqpols))))
print((" zoom bands : %s" % (str(newds.zoombandindex))))
print((" zoom band pols : %s" % (str(newds.zoombandpol))))
# New BASELINE table
new_baselines = []
remapped_freqs = [
n for n in range(len(freq_remaps)) if freq_remaps[n] >= 0
]
for b in baselines:
newbl = copy.deepcopy(b)
nds1 = new_datastreams[newbl.dsaindex]
nds2 = new_datastreams[newbl.dsbindex]
npol1 = len(list(set(nds1.recbandpol)))
npol2 = len(list(set(nds2.recbandpol)))
max_stokes = npol1 * npol2
# Keep only freqs common to both datastreams, and that match the target bandwidth
allfreqs1 = nds1.recfreqindex + nds1.zoomfreqindex
allfreqs2 = nds2.recfreqindex + nds2.zoomfreqindex
common_freqs = list(set(allfreqs1) & set(allfreqs2))
common_freqs = [
fnr for fnr in common_freqs
if (out_freqs[fnr].bandwidth == target_bw)
]
newbl.nfreq = len(common_freqs)
newbl.dsabandindex = []
newbl.dsbbandindex = []
newbl.freqpols = []
if cfg['verbose']:
print(("Baseline DS%d x DS%d" % (newbl.dsaindex, newbl.dsbindex)))
print(
(" stream %d freqs %s" % (newbl.dsaindex, str(allfreqs1))))
print(
(" stream %d freqs %s" % (newbl.dsbindex, str(allfreqs2))))
print((" common freqs %s" % (str(common_freqs))))
for f in common_freqs:
npol = 2
assert (f in allfreqs1)
assert (f in allfreqs2)
i1 = allfreqs1.index(f)
i2 = allfreqs2.index(f)
if max_stokes == 1:
newbl.dsabandindex.append([npol1 * i1])
newbl.dsbbandindex.append([npol2 * i2])
elif max_stokes == 2: # one of XL XR / YL YR / LL LR / RL RR
if npol1 == 1:
newbl.dsabandindex.append([npol1 * i1, npol1 * i1])
newbl.dsbbandindex.append([npol2 * i2 + 0, npol2 * i2 + 1])
else:
newbl.dsabandindex.append([npol1 * i1 + 0, npol1 * i1 + 1])
newbl.dsbbandindex.append([npol2 * i2, npol2 * i2])
elif max_stokes == 4:
if cfg['stitch_nstokes'] == 4:
newbl.dsabandindex.append([
npol1 * i1 + 0, npol1 * i1 + 0, npol1 * i1 + 1,
npol1 * i1 + 1
])
newbl.dsbbandindex.append([
npol2 * i2 + 0, npol2 * i2 + 1, npol2 * i2 + 0,
npol2 * i2 + 1
])
elif cfg['stitch_nstokes'] == 2:
# one XX YY / XL YR / LL RR
newbl.dsabandindex.append([npol1 * i1 + 0, npol1 * i1 + 1])
newbl.dsbbandindex.append([npol2 * i2 + 0, npol2 * i2 + 1])
else:
print(("Warning: unexpected nstokes of %d" %
(cfg['stitch_nstokes'])))
newbl.dsabandindex.append([npol1 * i1])
newbl.dsbbandindex.append([npol2 * i2])
newbl.freqpols.append(len(newbl.dsabandindex[-1]))
assert (len(newbl.dsabandindex[-1]) == len(newbl.dsbbandindex[-1]))
if cfg['verbose']:
print((" now freq %d = (ds1 frq %d, ds2 frq %d)" %
(f, i1, 2)))
print((" num pols = (%d, %d)" % (npol1, npol2)))
print((" dsa[end] = %s" %
(str(newbl.dsabandindex[-1]))))
print((" dsb[end] = %s" %
(str(newbl.dsbbandindex[-1]))))
print((" has %d freqpols" % (newbl.freqpols[-1])))
#print newbl.dsabandindex[-1], newbl.dsbbandindex[-1]
new_baselines.append(newbl)
# Read original .input without parsing
fin = open(inputfile, "r")
in_lines = fin.readlines()
fin.close()
# Replace OUTPUT FILENAME entry
for l in in_lines:
if l[:16] == "OUTPUT FILENAME:":
i = in_lines.index(l)
in_lines[i] = "%-20s%s\n" % ("OUTPUT FILENAME:", difxoutdir)
# Generate new reference .input for later, re-use parts of original .input
outputinputfile = basename_pathless + 'D2D.input'
fout = open(outputinputfile, "w")
idx = [i for i, elem in enumerate(in_lines) if "FREQ TABLE" in elem]
for n in range(idx[0]):
fout.write(in_lines[n])
parseDiFX.put_freqtable_info(fout, new_freqs)
idx1 = [i for i, elem in enumerate(in_lines) if "TELESCOPE TABLE" in elem]
idx2 = [i for i, elem in enumerate(in_lines) if "DATASTREAM TABLE" in elem]
for n in range(idx1[0], idx2[0]):
fout.write(in_lines[n])
parseDiFX.put_datastreamtable_info(fout, new_datastreams)
parseDiFX.put_baselinetable_info(fout, new_baselines)
idx = [i for i, elem in enumerate(in_lines) if "DATA TABLE" in elem]
for trailing in in_lines[idx[0]:]:
fout.write(trailing)
fout.close()
# Finished
print('\nDone! Final statistics:')
print((' vis. copied : %d' % (ncopied)))
print((' vis. skipped : %d' % (nskipped)))
print((' vis. stitched : %d' % (nstitched)))
print((' incomplete stitch : %d' % (nincomplete)))
print('\nOutput files:')
print((' visbility data : %s' % (difxoutname)))
print((' changes for .input : %s' % (outputinputfile)))
print(' ')
def patchDiFX(basename_dst,basename_src,antList):
# Derive file names
(pathless_basename_dst, basename_dst) = getBasename(basename_dst)
(pathless_basename_src, basename_src) = getBasename(basename_src)
# Open DiFX files
difxdstfile = glob.glob(basename_dst + '.difx/DIFX_*.s*.b*')[0]
fdst = open(difxdstfile, 'r')
difxsrcfile = glob.glob(basename_src + '.difx/DIFX_*.s*.b*')[0]
fsrc = open(difxsrcfile, 'r')
difxoutdir = pathless_basename_dst + '_antreplaced.difx'
difxoutfile = pathless_basename_dst + '_antreplaced.difx/' + difxdstfile[difxdstfile.rfind('/')+1:]
try:
os.mkdir(difxoutdir)
except:
pass
fout = open(difxoutfile, 'w')
print ('Destination : %s' % (difxdstfile))
print ('Source : %s' % (difxsrcfile))
print ('Merged into : %s' % (difxoutfile))
# Make index of visibilities in source dataset
src_index = buildIndex(basename_src+'.input',fsrc,antList)
fsrc.seek(0)
# Extract meta-infos from the DiFX .INPUT file
inputfilename = basename_dst + '.input'
(numfreqs, freqs) = parseDiFX.get_freqtable_info(inputfilename)
(numtelescopes, telescopes) = parseDiFX.get_telescopetable_info(inputfilename)
(numdatastreams, datastreams) = parseDiFX.get_datastreamtable_info(inputfilename)
(numbaselines, baselines) = parseDiFX.get_baselinetable_info(inputfilename)
if numfreqs == 0 or numtelescopes == 0 or numdatastreams == 0 or numbaselines == 0:
print ("Couldn't parse input file " + inputfilename + " correctly")
sys.exit(-1)
newinputfile = pathless_basename_dst + '_antreplaced.input'
try:
shutil.copyfile(inputfilename, newinputfile)
except Exception as e:
print ('Error copying %s to %s : %s' % (inputfilename,newinputfile,str(e)))
# Copy/replace visibility data
Ncopied = 0
Nreplaced = 0
Nnotfound = 0
Vnotfound = []
peak_sec = 0
print ('Replacing visibilities to %s...' % (str(antList)))
while True:
(vishdr,binhdr) = getVisibilityHeader(fdst)
if len(vishdr) <= 0:
break
# Visibility properties
baseline = vishdr[0]
seconds = vishdr[2]
freqindex = vishdr[5]
polpair = vishdr[6]
freq = freqs[freqindex]
# Antenna order as in difx2mark4: ref=ant1="256*nr", rem=ant2="nr%256"
ant2 = baseline % 256
ant1 = (baseline-ant2)/256
ant1name = telescopes[ant1-1].name.upper()
ant2name = telescopes[ant2-1].name.upper()
# Number of channels in this baseband
nchan = freqs[freqindex].numchan / freqs[freqindex].specavg
# Info string
sband = 'U'
if freq.lsb:
sband = 'L'
#key = ant1name + '-' + ant2name + '/' + polpair + '/' + str(freqindex) + '@' + str(freq.freq) + sband + ':' + str(seconds)
key = ant1name + '-' + ant2name + '/' + str(freq.freq) + sband + '_' + polpair + ':' + str(seconds) + ':' + str(nchan)
if seconds > peak_sec:
peak_sec = seconds
print ('.'),
sys.stdout.flush()
# Read the entire visibility data from disk
rawvis = fdst.read(8*nchan)
if len(rawvis) < 8*nchan:
continue
# Replace with data from source if key matches
# note: vis record header from 'src' is thrown away; use Freq ID, Ant ID etc from 'dst' file since numerical IDs can mismatch between src/dst!
if (ant1name in antList) or (ant2name in antList):
if key in src_index:
offset = src_index[key]
fsrc.seek(offset)
(vishdr2,binhdr2) = getVisibilityHeader(fsrc)
rawvis = fsrc.read(8*nchan)
if len(rawvis) < 8*nchan:
print ('Error: could not get %s with %d nchannels from source file!' % (key,nchan))
continue
Nreplaced += 1
else:
Nnotfound += 1
brief_key = ant1name + '-' + ant2name + '/' + str(freq.freq) + sband + '_' + polpair
if not (brief_key in Vnotfound):
Vnotfound.append(brief_key)
continue
else:
Ncopied += 1
fout.write(binhdr)
fout.write(rawvis)
# Finished
fout.close()
print('')
print('Vis. copied : %d' % (Ncopied))
print('Vis. replaced : %d' % (Nreplaced))
print('Vis. not in src : %d' % (Nnotfound))
if Nnotfound > 0:
print(' details : %s' % (str(Vnotfound)))
# TODO:
print ('Generated visibilities and %s, but please manually edit its OUTPUT FILENAME line to fix the path (TODO: automatic path fix)' % (newinputfile))
def stitchVisibilityfile(basename, cfg, writeMetaOnly=False):
"""Copy visibilities from given base DiFX fileset into new file, while doing frequency stitching during the process"""
# Get settings
target_bw = cfg['target_bw']
target_nchan = cfg['target_nchan']
stitch_basefreqs = cfg['stitch_basefreqs']
stitch_endfreqs = cfg['stitch_endfreqs']
stitch_antennas = cfg['stitch_antennas']
blank_viz = numpy.fromstring('\0' * 8 * target_nchan, dtype='complex64')
# All polarisation pairs 'RR', 'RL', ... to 'YL'
if cfg['stitch_nstokes'] > 2:
pols_list = ['R', 'L', 'X', 'Y']
polpairs, tmp = setCrossProd(pols_list, pols_list)
else:
polpairs = ['RR', 'LL', 'XX', 'YY'] # parallel-hand only
polpairs += ['RX', 'LY', 'XR', 'YL'] # potential parallel-hand
polpairs += ['LX', 'RY', 'XL', 'YR'
] # potential parallel-hand (depends on polconvert.py)
# Extract meta-infos from the DiFX .INPUT file
if basename.endswith(('.difx', 'input')):
basename = basename[:basename.rfind('.')]
basename_pathless = basename
if basename.rfind('/') >= 0:
basename_pathless = basename[(basename.rfind('/') + 1):]
inputfile = basename + '.input'
inputfile_cfg = parseDiFX.get_common_settings(inputfile)
(numfreqs, freqs) = parseDiFX.get_freqtable_info(inputfile)
(numtelescopes, telescopes) = parseDiFX.get_telescopetable_info(inputfile)
(numdatastreams,
datastreams) = parseDiFX.get_datastreamtable_info(inputfile)
(numbaselines, baselines) = parseDiFX.get_baselinetable_info(inputfile)
if 'difxfile' not in inputfile_cfg:
parser.error("Couldn't parse COMMON SETTINGS of input file " +
inputfile + " correctly")
if numfreqs == 0 or numtelescopes == 0 or numdatastreams == 0 or numbaselines == 0:
parser.error("Couldn't parse input file " + inputfile + " correctly")
# Internal frequency tables and remappings from old to new freq indices
out_freqs = {} # dict out['id']=Freq()
in_rec_freqs = 0 # num of distinct recorded freqs
n_max_freqs = 256
freq_remaps = [-1] * n_max_freqs
freq_remaps_isNew = [False] * n_max_freqs
# Collect all recorded freqs listed in DATASTREAMS
for d in datastreams:
for fqidx in d.recfreqindex:
id = findFreqObj(out_freqs, freqs[fqidx])
if (id == None):
id = inventNextKey(out_freqs)
freq_remaps[fqidx] = id
out_freqs[id] = copy.deepcopy(freqs[fqidx])
in_rec_freqs += 1
print("Keeping recorded frequency : index %2d/%2d : %s" %
(fqidx, id, freqs[fqidx].str()))
else:
if (freq_remaps[fqidx] < 0):
existing_fq = id
# print ('Warning: DiFX produced duplicate FREQ entries! Telescope %d/%s, remapping freq[%d]-->existing freq[%d]' % (d.telescopeindex,telescopes[d.telescopeindex].name,fqidx,existing_fq))
out_freqs[id] = out_freqs[existing_fq]
freq_remaps[fqidx] = existing_fq
print(
"Remapping duplicate freq : index %2d/%2d : %s --> index %2d : %s"
% (fqidx, id, freqs[fqidx].str(), existing_fq,
out_freqs[existing_fq].str().strip()))
# Collect all zoom bands listed in DATASTREAMS that already match the target bandwidth
for d in datastreams:
for fqidx in d.zoomfreqindex:
zf = freqs[fqidx]
if (zf.bandwidth != target_bw) or (
(zf.numchan / zf.specavg) != target_nchan):
# print ("Skipping zoom frequency : index %d : %s" % (fqidx,zf.str().strip()))
continue
i = findFreqObj(out_freqs, zf)
if (i == None):
id = inventNextKey(out_freqs)
freq_remaps[fqidx] = id
out_freqs[id] = copy.deepcopy(zf)
print("Keeping zoom frequency : index %2d/%2d : %s" %
(fqidx, id, zf.str()))
# Create per-antenna list of old frequency IDs (recs first then zooms)
antenna_freqids = {}
for d in datastreams:
ant = telescopes[d.telescopeindex].name
fqs = d.recfreqindex
if ant not in antenna_freqids:
antenna_freqids[ant] = list(fqs)
else:
antenna_freqids[ant] += listDiff(fqs, antenna_freqids[ant])
for ant in antenna_freqids:
# When antenna has adhoc phase info make sure it covers all IFs
if ant not in cfg['adhoc_phasors']:
continue
Nrec = len(antenna_freqids[ant])
Ndef = len(cfg['adhoc_phasors'][ant])
if Ndef != Nrec:
print(
"Error: config file section [phases_deg] provides phases for '%s' for %d of %d IFs!"
% (ant, Ndef, Nrec))
sys.exit(1)
for d in datastreams:
ant = telescopes[d.telescopeindex].name
fqs = d.zoomfreqindex
antenna_freqids[ant] += listDiff(fqs, antenna_freqids[ant])
# Determine how much averaging post-FFT was done in DiFX itself
common_difx_avgfactor = -1
for key in out_freqs:
common_difx_avgfactor = out_freqs[key].specavg
if common_difx_avgfactor < 1:
print(
"Warning: may have failed to detect original .input 'CHANS TO AVG' factor! Assuming factor 1!"
)
common_difx_avgfactor = 1
# Check stitch config: re-use existing USB zoom bands or freqs where possible, invent new zoom bands if necessary
stitch_out_ids = []
for fsky in stitch_basefreqs:
match_existing = [(out_freqs[key].freq == fsky
and out_freqs[key].bandwidth == target_bw
and out_freqs[key].numchan / out_freqs[key].specavg
== target_nchan and not out_freqs[key].lsb)
for key in out_freqs.keys()]
exists = any(match_existing)
if exists:
# Re-use an existing matching zoom frequency
i = match_existing.index(True)
id = out_freqs.keys()[i]
zf = out_freqs[id]
zf.numchan = target_nchan * common_difx_avgfactor
zf.specavg = common_difx_avgfactor
stitch_out_ids.append(id)
old_id = freq_remaps.index(id)
print("Re-using zoom for stitch : index %2d/%2d : %s" %
(old_id, id, zf.str()))
else:
# Invent new zoom
zf = parseDiFX.Freq()
zf.freq = fsky
zf.bandwidth = target_bw
zf.numchan = target_nchan * common_difx_avgfactor
zf.specavg = common_difx_avgfactor
zf.lsb = False
id = inventNextKey(out_freqs)
out_freqs[id] = copy.deepcopy(zf)
stitch_out_ids.append(id)
print("Creating new zoom frequency : index --/%2d : %s" %
(id, zf.str()))
stitch_ids = [n for n in range(len(stitch_out_ids))]
# Also map each to-be-stitched-multi-zoom into respective new single post-stitch zoom
for fi in range(in_rec_freqs, len(freqs)):
if (freqs[fi].bandwidth
== target_bw) and (freqs[fi].numchan / freqs[fi].specavg
== target_nchan):
# Retain one-to-one map for existing matching zoom freqs
freq_remaps_isNew[fi] = False
continue
stid = getGlueIndex(freqs[fi].freq, cfg)
if (stid >= 0):
if freqs[fi].lsb:
# Ignore LSB. All zoom outputs should be USB.
print("Ignore LSB %s" % (freqs[fi].str()))
continue
# Add to many-to-one map of invented zoom freqs
freq_remaps[fi] = stitch_out_ids[stid]
freq_remaps_isNew[fi] = True
print(
"Map zoom %s to stitched single %12.6f--%12.6f : in fq#%2d -> stitch#%d -> out fq#%2d"
% (freqs[fi].str(), stitch_basefreqs[stid],
stitch_endfreqs[stid], fi, stid, stitch_out_ids[stid]))
else:
print("No map for index %d : %s" % (fi, freqs[fi].str()))
# Propagate any averaging to be done by difx2difx.py into the frequency table
if cfg['extra_chavg'] > 1:
for of in out_freqs.keys():
out_freqs[of].specavg = out_freqs[of].specavg * cfg['extra_chavg']
# Propagate ad-hoc phase table infos from rec freq (parent) to any zoom (child)
for ant in antenna_freqids:
if ant not in cfg['adhoc_phasors']:
continue
if len(antenna_freqids[ant]) <= len(cfg['adhoc_phasors'][ant]):
continue
# Duplicate .cfg adhoc phase entries (rec bands) to e.g. zoom bands
Ndefined = len(cfg['adhoc_phasors'][ant])
Ndefneeded = len(antenna_freqids[ant])
freqs_w_defined_phases = antenna_freqids[ant][0:Ndefined]
cfg['adhoc_phasors'][ant] = numpy.append(
cfg['adhoc_phasors'][ant], [1 + 0j] * (Ndefneeded - Ndefined))
for n in range(Ndefined, Ndefneeded):
fq = antenna_freqids[ant][n]
for m in range(Ndefined):
recfq = freqs_w_defined_phases[m]
if isParentFreq(freqs[recfq], freqs[fq]):
cfg['adhoc_phasors'][ant][n] = cfg['adhoc_phasors'][ant][m]
print(
'Adhoc phase %s phase offset : zoom %s gets config file entry %d phase of rec %s'
% (ant, freqs[fq].str(), m, freqs[recfq].str()))
# Read the DiFX .difx/DIFX_* file
#glob_pattern = basename + '.difx/DIFX_*.s*.b*'
glob_pattern = inputfile_cfg['difxfile'] + '/DIFX_*.s*.b*'
difxfileslist = glob.glob(glob_pattern)
if len(difxfileslist) <= 0:
print('Error: no visibility data file found in %s!' % (glob_pattern))
return
difxfilename = difxfileslist[0]
difxfilename_pathless = difxfilename
if difxfilename.rfind('/') >= 0:
difxfilename_pathless = difxfilename[(difxfilename.rfind('/') + 1):]
difxfile = open(difxfilename, 'r')
# Output DiFX file
difxoutdir = basename_pathless + 'D2D.difx'
difxoutname = difxoutdir + '/' + difxfilename_pathless
if not writeMetaOnly:
# New output directory and file
try:
os.mkdir(difxoutdir)
except:
pass
if os.path.exists(difxoutname):
print(
'Warning: %s already exists, skipping the processing of %s!' %
(difxoutname, difxfilename))
return
difxout = open(difxoutname, 'w')
# Copy PCAL files if any
for pcalfile in glob.glob(inputfile_cfg['difxfile'] + '/PCAL_*'):
print('Copying %s' % (pcalfile))
shutil.copy(pcalfile, difxoutdir + '/')
else:
difxout = None
# Pull out antenna indices based on telescope names
telNames = [t.name for t in telescopes]
stAntIDs = []
for sa in stitch_antennas:
id = [n for n in range(len(telescopes)) if telescopes[n].name == sa]
if len(id) != 1:
print(
"Warning: got %d hits for telescope %s in .difx file telescope list of %s!"
% (len(id), sa, str(telNames)))
continue
id = id[0] + 1 # index (0..N-1) into antenna nr (1..N)
stAntIDs.append(id)
# Affected baselines; data of these are stored in stitching memory, other baselines need no stitching
baseline_list = []
for sid in stAntIDs:
# Cross
for t in range(numtelescopes):
tid = t + 1 # index (0..N-1) into antenna nr (1..N)
if (tid != sid):
baseline_list.append(tid + sid * 256)
baseline_list.append(sid + tid * 256)
# Auto
baseline_list.append(sid + sid * 256)
# Dictionary of per-polarizationpair working buffers into which spectra are stitched
stitch_workbufs = {
bline: {
polkey: {bandkey: numpy.copy(blank_viz)
for bandkey in stitch_ids}
for polkey in polpairs
}
for bline in baseline_list
}
stitch_chcounts = {
bline: {
polkey: {bandkey: 0
for bandkey in stitch_ids}
for polkey in polpairs
}
for bline in baseline_list
}
stitch_freqbws = {
bline: {
polkey: {bandkey: []
for bandkey in stitch_ids}
for polkey in polpairs
}
for bline in baseline_list
}
stitch_timestamps = {
bline: {
polkey: {bandkey: -1
for bandkey in stitch_ids}
for polkey in polpairs
}
for bline in baseline_list
}
nstitched = 0
ncopied = 0
nskipped = 0
nincomplete = 0
# Parse each visibility entry
seconds_prev = -1
seconds_first = 0
seconds_report_prev = 0
while not writeMetaOnly:
(vishdr, binhdr) = getVisibilityHeader(difxfile)
if len(vishdr) <= 0:
break
# Visibility properties
baseline = vishdr[0]
mjd = vishdr[1]
seconds = vishdr[2]
freqindex = vishdr[5]
polpair = vishdr[6]
weight = vishdr[8]
uvw = vishdr[9:12]
# Antenna order as in difx2mark4: ref=ant1="256*nr", rem=ant2="nr%256"
ant2 = baseline % 256
ant1 = (baseline - ant2) / 256
ant1name = telescopes[ant1 - 1].name
ant2name = telescopes[ant2 - 1].name
T = mjd + seconds / 86400.0
baselinestr = '%s-%s' % (ant1name, ant2name)
# Stokes check:
if polpair not in polpairs:
print(
'Error: unexpected pol pair %s, perhaps increase stitch_nstokes (currently %d) in config file?'
% (polpair, cfg['stitch_nstokes']))
sys.exit(-1)
# Number of channels in this baseband
nchan = freqs[freqindex].numchan / freqs[freqindex].specavg
fsky = freqs[freqindex].freq
bw = freqs[freqindex].bandwidth
# Read the entire visibility data from disk
rawvis = difxfile.read(8 * nchan)
if len(rawvis) != 8 * nchan:
print('Short read! Stopping.')
break
if (seconds != seconds_prev):
seconds_prev = seconds
if cfg['verbose']:
print(('\n---- %d %12.7f ' + '-' * 115) % (mjd, seconds))
elif (seconds - seconds_report_prev) > 1.0:
if seconds_first <= 0:
seconds_first = mjd * 24 * 60 * 60 + seconds
dTstart = mjd * 24 * 60 * 60 + seconds - seconds_first
seconds_report_prev = seconds
print("at %d %12.7f, %.3f seconds from start" %
(mjd, seconds, dTstart))
print("\033[F\033[F")
if cfg['dbg_drop_antennas'] and ant1name in cfg[
'dbg_drop_antennas'] or ant2name in cfg['dbg_drop_antennas']:
nskipped += 1
continue
# Remap the frequency reference
out_freqindex = freqindex
if freq_remaps[freqindex] >= 0:
# print ('Remapping input freq index %d to old/new output freq %d' % (freqindex,freq_remaps[freqindex]))
out_freqindex = freq_remaps[freqindex]
vishdr[5] = out_freqindex
binhdr = parseDiFX.make_output_header_v1(vishdr)
# Destination stitch band index
if not freqs[freqindex].lsb:
stid = getGlueIndex(fsky, cfg)
else:
stid = -1
# Info string
vis_info = '%s-%s/%d/%d(%d):sf<%d>:%.7f/%s mjd:%12.8f nchan:%4d bw:%.7f uvw=%s' % (
ant1name, ant2name, baseline, out_freqindex, freqindex, stid, fsky,
polpair, T, nchan, bw, str(uvw))
# Adjust phase of adhoc per-IF phases in config file
if hasPhaseAdj(ant1name, ant2name, freqindex, antenna_freqids, cfg):
# (ToDO: always for all data, or only when visibility data will actually be used?)
rawvis = spectralPhaseAdj(rawvis, ant1name, ant2name, freqindex,
antenna_freqids, cfg)
# Write out visibility to output file
if baseline not in baseline_list:
# Baseline for which no freq stitching was requested
# Keep data if bandwidth matches
if (bw == target_bw) and (nchan == target_nchan):
if wasVisAlreadyWritten(mjd, seconds, baseline, out_freqindex,
polpair):
if cfg['verbose']:
print('(copy): %s' % (vis_info))
continue
if cfg['verbose']:
print('copy : %s' % (vis_info))
assert (freq_remaps[freqindex] >= 0)
difxout.write(binhdr)
if cfg['extra_chavg'] > 1:
rawvis = spectralAvgRaw(rawvis, cfg['extra_chavg'])
difxout.write(rawvis)
ncopied += 1
# Discard data if bandwidth mismatch. Happens e.g. for zoom bands on the non-stitch baselines,
# can ignore these because covered by a different and complete zoomband that doesn't need stitching
else:
nskipped += 1
if cfg['verbose']:
print('skip : %s' % (vis_info))
pass
else:
# Baseline where freq stitching was requested
resetStitch = False
if (bw == target_bw) and freqs[freqindex].lsb:
# Visibility already at target bandwidth, but LSB i.e. not the expected zoom (all-USB)
# As the full-bw zoom ought to exist or is going to be stitched together, we skip the LSB x LSB
# visibility here. This avoids duplicates (since e.g. 86188 LSB x LSB rec 32 MHz == 86156 USB x USB zoom 32 MHz)
nskipped += 1
if cfg['verbose']:
print('skip L: %s' % (vis_info))
elif (bw == target_bw):
# Visibility already at target bandwidth, just copy the data
if wasVisAlreadyWritten(mjd, seconds, baseline, out_freqindex,
polpair):
if cfg['verbose']:
print('(take): %s' % (vis_info))
continue
if cfg['verbose']:
print('take : %s' % (vis_info))
assert (freq_remaps[freqindex] >= 0)
difxout.write(binhdr)
if cfg['extra_chavg'] > 1:
rawvis = spectralAvgRaw(rawvis, cfg['extra_chavg'])
difxout.write(rawvis)
ncopied += 1
# Signal for further below: clear old working data, set new timestamp
resetStitch = True
else:
# Need to stitch narrowband visibility into wideband context
# Ignore bands not requested to be stitched
if (stid < 0):
if cfg['verbose']:
print('ignore: %s (not in stitch freqs list)' %
(vis_info))
continue
# Get the complex data
visdata = numpy.fromstring(rawvis, dtype='complex64')
# Determine the region into which this visibility data would be inserted
choffset = int(((fsky - stitch_basefreqs[stid]) / target_bw) *
target_nchan)
if (choffset + nchan) > target_nchan:
# Sometimes a wide recorded band falls into the stitching frequency region,
# but then may not fit fully into the stitching freq region.
# Options are:
# 1) discard and hope the corresponding zoom band data will appear soon
#if cfg['verbose']:
# print ('ignore: %s (too wide, maybe a recorded instead of zoom freq)' % (vis_info))
#continue
# 2) use the maximum possible amount of the data
nchan_new = target_nchan - choffset
if (nchan_new < 1):
print(
'Unexpected, after cropping a too-wide band ended up with %d remaining channels'
% (nchan_new))
continue
visdata = visdata[:nchan_new]
bw = bw * nchan_new / nchan
nchan = nchan_new
if cfg['verbose']:
print('crop : %s to %d chan' % (vis_info, nchan_new))
# Keep track of timestamp
if (stitch_timestamps[baseline][polpair][stid] < 0):
stitch_timestamps[baseline][polpair][stid] = seconds
# Detect a jump in timestamp
if (seconds != stitch_timestamps[baseline][polpair][stid]):
# We assume the input visibilities are stored in time-increasing order,
# so a timestamp change indicates all data of previous time should've been fully read by now (no older data follows)
ncurr = stitch_chcounts[baseline][polpair][stid]
if (ncurr > 0):
T_old = mjd + stitch_timestamps[baseline][polpair][
stid] / 86400.0
nincomplete += 1
msg = '%s-%s/%d/%d:%.7f/%s mjd:%12.8f only %d of %d channels' % (
ant1name, ant2name, baseline, stid,
stitch_basefreqs[stid], polpair, T_old, ncurr,
target_nchan)
if cfg['verbose']:
print(
'Warning: discarded an incomplete stitch: %s' %
(msg))
assert (ncurr <= target_nchan)
stitch_timestamps[baseline][polpair][stid] = seconds
stitch_chcounts[baseline][polpair][stid] = 0
stitch_freqbws[baseline][polpair][stid] = []
stitch_workbufs[baseline][polpair][stid].fill(0)
#print (('---- %d %.7f ' + '-'*80 + '\n') % (mjd,seconds))
# Insert the new visibility data into the correct working buffer at the correct location
stitch_workbufs[baseline][polpair][stid][choffset:(
choffset + nchan)] = visdata
stitch_chcounts[baseline][polpair][stid] += nchan
stitch_freqbws[baseline][polpair][stid].append(bw)
#print (' glue bline %s %s band %d : ch %4d ... %4d : %d new chs : stitched %d ch total' % (baselinestr,polpair,stid,choffset,choffset+nchan-1,nchan,stitch_chcounts[baseline][polpair][stid]))
#print choffset, nchan, choffset+nchan, stitch_chcounts[baseline][polpair][stid], (100.0*stitch_chcounts[baseline][polpair][stid])/target_nchan
# Assembled the full bandwidth now?
if stitch_chcounts[baseline][polpair][stid] >= target_nchan:
TS = mjd + stitch_timestamps[baseline][polpair][
stid] / 86400.0
bwsum = numpy.sum(stitch_freqbws[baseline][polpair][stid])
fsky = out_freqs[out_freqindex].freq
vis_info = '%s-%s/%d/%d(%d):sf<%d>:%.7f/%s mjd:%12.8f nchan:%4d bw:%.7f uvw=%s' % (
ant1name, ant2name, baseline, out_freqindex, freqindex,
stid, fsky, polpair, TS,
stitch_chcounts[baseline][polpair][stid], bwsum,
str(uvw))
if wasVisAlreadyWritten(mjd, seconds, baseline,
out_freqindex, polpair):
if cfg['verbose']:
print('(stch dup): %s' % (vis_info))
continue
# Double-check the bandwidth
if numpy.abs(target_bw - bwsum) > 100:
print(
'Warning: stitched bands gave %.6f MHz bandwidth, differs from target %.6f MHz!'
% (bwsum, target_bw))
# Write header and assembled data
difxout.write(binhdr)
if cfg['extra_chavg'] > 1:
vis = spectralAvgNumpy(
stitch_workbufs[baseline][polpair][stid],
cfg['extra_chavg'])
else:
vis = stitch_workbufs[baseline][polpair][stid]
if cfg['verbose']:
print('stitch: %s' % (vis_info))
vis.tofile(difxout)
nstitched += 1
# Reset
resetStitch = True
if resetStitch and (stid >= 0):
stitch_timestamps[baseline][polpair][stid] = seconds
stitch_chcounts[baseline][polpair][stid] = 0
stitch_freqbws[baseline][polpair][stid] = []
stitch_workbufs[baseline][polpair][stid].fill(0)
#if nstitched > 100: break # quick-exit for debug
## Generate new .input
# New FREQ table
new_freqs = copy.deepcopy(out_freqs)
# New DATASTREAM table
new_datastreams = []
for ds in datastreams:
# Copy the existing values, then update/replace
newds = copy.deepcopy(ds)
# Retain all recorded freqs and bands
newds.recfreqindex = [freq_remaps[rfi] for rfi in newds.recfreqindex]
newds.recfreqpols = [p for p in ds.recfreqpols]
newds.nrecfreq = len(newds.recfreqindex)
if False:
# Sort the bands to have L R L R L R L R rather than L L L L R R R R,
# makes baseline table re-creation easier
# However, messes up PCAL file parsing since for some reason parser
# compares PCAL file pols&freqs against 'recbandpol'&'recfreq[recbandindex]'
# which then are in unexpected order
newds.recbandpol = [
x for _, x in sorted(zip(newds.recbandindex, newds.recbandpol),
key=lambda pair: pair[0])
]
newds.recbandindex.sort()
assert (len(newds.recfreqindex) == len(newds.recfreqpols))
assert (newds.nrecband == sum(newds.recfreqpols))
# Retain bandwidth-matching existing zoom freqs & bands
# and also add all stitched/invented zoom freqs & bands
newds.zoomfreqindex, newds.zoomfreqpols, newds.zoombandindex, newds.zoombandpol = [], [], [], []
#ds_old_zooms = [zfi for zfi in ds.zoomfreqindex if (freq_remaps[zfi]>=0 and not freq_remaps_isNew[zfi])]
#ds_new_zooms = [zfi for zfi in ds.zoomfreqindex if (freq_remaps[zfi]>=0 and freq_remaps_isNew[zfi])]
all_zooms = [
zfi for zfi in ds.zoomfreqindex if (freq_remaps[zfi] >= 0)
]
for zf in all_zooms:
if freq_remaps[zf] not in newds.zoomfreqindex:
pols = getPolsForFreq(ds, zf) # from original DS & Freq
if len(pols) < 1: continue
newds.zoomfreqindex.append(freq_remaps[zf])
newds.zoomfreqpols.append(len(pols))
n = newds.zoomfreqindex.index(freq_remaps[zf])
newds.zoombandindex += [n] * len(pols)
newds.zoombandpol += pols
newds.nzoomfreq = len(newds.zoomfreqpols)
newds.nzoomband = sum(newds.zoomfreqpols)
# Store
new_datastreams.append(newds)
if cfg['verbose']:
print("DS%d : rec freqs : %s" %
(datastreams.index(ds), str(newds.recfreqindex)))
print(" rec freq pols : %s" % (str(newds.recfreqpols)))
print(" rec bands : %s" % (str(newds.recbandindex)))
print(" rec band pols : %s" % (str(newds.recbandpol)))
print(" zoom freqs : %s" % (str(newds.zoomfreqindex)))
print(" zoom freq pols : %s" % (str(newds.zoomfreqpols)))
print(" zoom bands : %s" % (str(newds.zoombandindex)))
print(" zoom band pols : %s" % (str(newds.zoombandpol)))
print(
" counts : %d rec fq, %d zoom fq, %d rec band, %d zoom band"
% (newds.nrecfreq, newds.nzoomfreq, newds.nrecband,
newds.nzoomband))
# New BASELINE table
full_freq_remaps = [
freq_remaps[n] if freq_remaps[n] >= 0 else n
for n in range(len(freq_remaps))
]
#print ('Full remap table:',str(len(full_freq_remaps)), ' entries, ', str(full_freq_remaps))
new_baselines = []
for b in baselines:
newbl = copy.deepcopy(b)
ods1 = datastreams[b.dsaindex]
ods2 = datastreams[b.dsbindex]
nds1 = new_datastreams[newbl.dsaindex]
nds2 = new_datastreams[newbl.dsbindex]
ant1 = telescopes[nds1.telescopeindex].name
ant2 = telescopes[nds2.telescopeindex].name
if cfg['verbose']:
print("Baseline %s x %s" % (ant1, ant2))
print(" stream %d x stream %d" %
(newbl.dsaindex, newbl.dsbindex))
newbl.dsabandindex = []
newbl.dsbbandindex = []
newbl.freqpols = []
copied_ids = []
for i in range(len(b.dsabandindex)):
# For each baseline "frequency" entry there are two lists of bands e.g. [0,1,2,3] x [0,2,1,3]
# that were correlated against each other in DiFX.
# Datastream and Freq were updated above, hence the band indexing has changed.
# Re-map the referenced band numbers/indices in the lists from old to new indices.
# Also, look up Freq of the respective band indices and skip narrow pre-stitch zooms from Baseline.
bl_bands_A = b.dsabandindex[i]
bl_bands_B = b.dsbbandindex[i]
bl_new_bands_A, bl_new_bands_B = [], []
for (bl_band_A, bl_band_B) in zip(bl_bands_A, bl_bands_B):
oldFqA, polA = getFreqPolOfBand(ods1, bl_band_A)
oldFqB, polB = getFreqPolOfBand(ods2, bl_band_B)
if oldFqA < 0 or oldFqB < 0:
print(
"Warning: unexpectedly could not locate old input band information!"
)
continue
newFqA = full_freq_remaps[oldFqA]
newFqB = full_freq_remaps[oldFqB]
assert (freqs[oldFqA].bandwidth == freqs[oldFqB].bandwidth)
if (newFqA not in new_freqs) or (newFqB not in new_freqs):
# print (" corr %2d : fq %2d(old:%d) x %2d(old:%d) %s%s : skip, lies outside of output bands" % (i,newFqA,oldFqA,newFqB,oldFqB,polA,polB))
continue
if (new_freqs[newFqA].bandwidth != target_bw) or (
new_freqs[newFqB].bandwidth != target_bw):
print(
" corr %2d : fq %2d(old:%d) x %2d(old:%d) %s%s : skip, wrong bandwidth in %s x %s"
% (i, newFqA, oldFqA, newFqB, oldFqB, polA, polB,
new_freqs[newFqA].str(), new_freqs[newFqB].str()))
continue
id = '%d_%d_%s%s' % (newFqA, newFqB, polA, polB)
if id not in copied_ids:
newBandA = getBandIndexOfFreqPol(nds1, newFqA, polA)
newBandB = getBandIndexOfFreqPol(nds2, newFqB, polB)
if newBandA < 0 or newBandB < 0:
continue
bl_new_bands_A.append(newBandA)
bl_new_bands_B.append(newBandB)
copied_ids.append(id)
if cfg['verbose']:
print(
" corr %2d : bands %2d x %2d %s%s : fq %2d x %2d --> new fq %2d x %2d : copied, %s"
% (i, bl_band_A, bl_band_B, polA, polB, oldFqA,
oldFqB, newFqA, newFqB, id))
#print (" fq old %s x %s" % (freqs[oldFqA].str().strip(),freqs[oldFqB].str().strip()))
#print (" fq new %s x %s" % (new_freqs[newFqA].str().strip(),new_freqs[newFqB].str().strip()))
else:
if cfg['verbose']:
print(
" corr %2d : bands %2d x %2d %s%s : fq %2d x %2d --> new fq %2d x %2d : skip, sub-stitch"
% (i, bl_band_A, bl_band_B, polA, polB, oldFqA,
oldFqB, newFqA, newFqB))
if len(bl_new_bands_A) > 0:
newbl.dsabandindex.append(bl_new_bands_A)
newbl.dsbbandindex.append(bl_new_bands_B)
newbl.freqpols.append(len(bl_new_bands_A))
newbl.nfreq = len(newbl.dsabandindex)
new_baselines.append(newbl)
print('\n')
# Read original .input without parsing
fin = open(inputfile, "r")
in_lines = fin.readlines()
fin.close()
# Replace OUTPUT FILENAME entry
for l in in_lines:
if l[:16] == "OUTPUT FILENAME:":
i = in_lines.index(l)
in_lines[i] = "%-20s%s\n" % ("OUTPUT FILENAME:", difxoutdir)
# Replace CALC FILENAME and CORE CONF FILENAME and point them to a local, renamed copy of these files
for l in in_lines:
if l[:19] == 'CORE CONF FILENAME:':
i = in_lines.index(l)
orig_threadfile = l[20:].strip()
in_lines[i] = "%-20s%s\n" % ("CORE CONF FILENAME:",
basename_pathless + 'D2D.threads')
try:
shutil.copyfile(orig_threadfile,
basename_pathless + 'D2D.threads')
except:
print('Note: could not copy %s ' % (orig_threadfile))
elif l[:14] == "CALC FILENAME:":
i = in_lines.index(l)
orig_calcfile = l[20:].strip()
in_lines[i] = "%-20s%s\n" % ("CALC FILENAME:",
basename_pathless + 'D2D.calc')
try:
shutil.copyfile(orig_calcfile, basename_pathless + 'D2D.calc')
except:
print('Note: could not copy %s ' % (orig_calcfile))
# Generate new reference .input for later, re-use parts of original .input
outputinputfile = basename_pathless + 'D2D.input'
fout = open(outputinputfile, "w")
idx = [i for i, elem in enumerate(in_lines) if "FREQ TABLE" in elem]
for n in range(idx[0]):
fout.write(in_lines[n])
parseDiFX.put_freqtable_info(fout, new_freqs)
idx1 = [i for i, elem in enumerate(in_lines) if "TELESCOPE TABLE" in elem]
idx2 = [i for i, elem in enumerate(in_lines) if "DATASTREAM TABLE" in elem]
for n in range(idx1[0], idx2[0]):
fout.write(in_lines[n])
parseDiFX.put_datastreamtable_info(fout, new_datastreams)
parseDiFX.put_baselinetable_info(fout, new_baselines)
idx = [i for i, elem in enumerate(in_lines) if "DATA TABLE" in elem]
for trailing in in_lines[idx[0]:]:
fout.write(trailing)
fout.close()
# Go through the local copy .calc file and point references therein to other local copies
for line in fileinput.input(basename_pathless + 'D2D.calc', inplace=True):
# fileinput module: in this loop STDOUT is redirected by the module into the file
if 'IM FILENAME' in line:
orig_imfile = line[15:].strip()
copied_imfile = basename_pathless + 'D2D.im'
shutil.copyfile(orig_imfile, copied_imfile)
line = '%-20s%s' % ('IM FILENAME:', copied_imfile)
elif 'FLAG FILENAME' in line:
orig_flagfile = line[15:].strip()
copied_flagfile = basename_pathless + 'D2D.flag'
shutil.copyfile(orig_flagfile, copied_flagfile)
line = '%-20s%s' % ('FLAG FILENAME:', copied_flagfile)
print(line.strip())
# Finished
if not writeMetaOnly:
print('\nDone! Final statistics:')
print(' vis. copied : %d' % (ncopied))
print(' vis. skipped : %d' % (nskipped))
print(' vis. stitched : %d' % (nstitched))
print(' incomplete stitch : %d' % (nincomplete))
print('\nOutput files:')
print(' visbility data : %s' % (difxoutname))
print(' changes for .input : %s' % (outputinputfile))
print(' ')
else:
print('\nDone! Metadata-only mode.')
print('\nOutput files:')
print(' changes for .input : %s' % (outputinputfile))
parser.error(
"If you scrunch baselines, you must allow all of them (targetbaseline < 0)"
)
if scrunchbaselines and scrunchautocorrs:
parser.error("You can only scrunch baselines, or autocorrs, not both!")
if scrunchautocorrs and targetbaseline >= 0:
parser.error(
"If you scrunch autocorrs, you must allow all of them (targetbaseline < 0)"
)
(numconfigs, configs) = parseDiFX.get_configtable_info(inputfile)
(numfreqs, freqs) = parseDiFX.get_freqtable_info(inputfile)
(numtelescopes, telescopes) = parseDiFX.get_telescopetable_info(inputfile)
(numdatastreams, datastreams) = parseDiFX.get_datastreamtable_info(inputfile)
(numbaselines, baselines) = parseDiFX.get_baselinetable_info(inputfile)
if numfreqs == 0 or numtelescopes == 0 or numdatastreams == 0 or numbaselines == 0 or numconfigs == 0:
parser.error("Couldn't parse input file " + inputfile + " correctly")
inttime = configs[0].inttime
chans = []
amp = []
phase = []
for i in range(numfreqs):
amp.append([])
phase.append([])
for j in range(maxchannels):
amp[i].append([])
phase[i].append([])
def filterVisibilityfile(basename,targetAnts):
# Extract meta-infos from the DiFX .INPUT file
if basename.endswith(('.difx','.input','.calc')):
basename = basename[:basename.rfind('.')]
pathless_basename = basename
if basename.rfind('/')>=0:
pathless_basename = basename[basename.rfind('/')+1:]
inputfile = basename + '.input'
(numfreqs, freqs) = parseDiFX.get_freqtable_info(inputfile)
(numtelescopes, telescopes) = parseDiFX.get_telescopetable_info(inputfile)
(numdatastreams, datastreams) = parseDiFX.get_datastreamtable_info(inputfile)
(numbaselines, baselines) = parseDiFX.get_baselinetable_info(inputfile)
if numfreqs == 0 or numtelescopes == 0 or numdatastreams == 0 or numbaselines == 0:
parser.error("Couldn't parse input file " + inputfile + " correctly")
# Read the DiFX .difx/DIFX_* file
difxfileslist = glob.glob(basename + '.difx/DIFX_*.s*.b*')
difxfilename = difxfileslist[0]
difxfile = open(difxfilename, 'r')
difxoutdir = pathless_basename + 'filtered.difx'
# Stop early if telescope has no data in this scan
telescopenames = [t.name for t in telescopes]
if not any(target in telescopenames for target in targetAnts):
print ('Telescope(s) %s not among in stations %s of %s. Nothing to do!' % (str(targetAnts),str(telescopenames),basename))
#shutil.copytree(basename + '.difx', difxoutdir)
#return
# Prepare output
try:
os.mkdir(difxoutdir)
except:
pass
difxoutname = difxoutdir+'/'+difxfilename[difxfilename.rfind('/')+1:]
difxout = open(difxoutname, 'w')
(vishdr,binhdr) = getVisibilityHeader(difxfile)
# Parse each visibility entry
nremoved = 0
npassed = 0
while len(vishdr) > 0:
# Visibility properties
baseline = vishdr[0]
freqindex = vishdr[5]
polpair = vishdr[6]
# Antenna order as in difx2mark4: ref=ant1="256*nr", rem=ant2="nr%256"
# since if using opposite order (like in DiFX python utils) get "missing autocorr" complaint from difx2mark4
# and final pols look wrong; with the below order the baseline pols look correctly swapped (in fourfit, fplot)
ant2 = baseline % 256
ant1 = (baseline-ant2)/256
ant1name = telescopes[ant1-1].name
ant2name = telescopes[ant2-1].name
seconds = vishdr[2]
# Number of channels in this baseband
nchan = freqs[freqindex].numchan / freqs[freqindex].specavg
# Read the entire visibility data from disk
rawvis = difxfile.read(8*nchan)
if len(rawvis) < 8*nchan:
break
# Check if these data should be discarded or can be copied
if (ant1 == ant2) and (rawvis == '\0'*8*nchan):
nremoved += 1
else:
difxout.write(binhdr)
difxout.write(rawvis)
npassed += 1
(vishdr,binhdr) = getVisibilityHeader(difxfile)
difxout.close()
# Finished
print ('\nDone! Final statistics:')
print (' vis. passed through : %d' % (npassed))
print (' vis. removed : %d' % (nremoved))
print ('\nOutput file:')
print (' visbility data : %s' % (difxoutname))
print (' ')
def mergeDiFX(basename, antRemove, antKeep):
# Derive file names
if basename.endswith(('.difx', '.input', '.calc')):
basename = basename[:basename.rfind('.')]
pathless_basename = basename
if pathless_basename.rfind('/') >= 0:
pathless_basename = pathless_basename[pathless_basename.rfind('/') +
1:]
difxoutdir = pathless_basename + '_stripped.difx'
# Open DiFX files
difxfilename = glob.glob(basename + '.difx/DIFX_*.s*.b*')[0]
difxfile = open(difxfilename, 'r')
try:
os.mkdir(difxoutdir)
except:
pass
difxoutname = difxoutdir + '/' + difxfilename[difxfilename.rfind('/') + 1:]
difxout = open(difxoutname, 'w')
print('Source : %s' % (difxfilename))
print('Destination : %s' % (difxoutname))
# Extract meta-infos from the DiFX .INPUT file
inputfile = basename + '.input'
(numfreqs, freqs) = parseDiFX.get_freqtable_info(inputfile)
(numtelescopes, telescopes) = parseDiFX.get_telescopetable_info(inputfile)
(numdatastreams,
datastreams) = parseDiFX.get_datastreamtable_info(inputfile)
(numbaselines, baselines) = parseDiFX.get_baselinetable_info(inputfile)
if numfreqs == 0 or numtelescopes == 0 or numdatastreams == 0 or numbaselines == 0:
parser.error("Couldn't parse input file " + inputfile + " correctly")
# Copy/strip
Ncopied = 0
Ndropped = 0
while True:
(vishdr, binhdr) = getVisibilityHeader(difxfile)
if len(vishdr) <= 0:
break
# Visibility properties
baseline = vishdr[0]
seconds = vishdr[2]
freqindex = vishdr[5]
polpair = vishdr[6]
# Antenna order as in difx2mark4: ref=ant1="256*nr", rem=ant2="nr%256"
ant2 = baseline % 256
ant1 = (baseline - ant2) / 256
ant1name = telescopes[ant1 - 1].name.upper()
ant2name = telescopes[ant2 - 1].name.upper()
# Number of channels in this baseband
nchan = freqs[freqindex].numchan / freqs[freqindex].specavg
# Read the entire visibility data from disk
rawvis = difxfile.read(8 * nchan)
if len(rawvis) < 8 * nchan:
continue
# Copy to output or discard?
copy = True
if (len(antRemove) > 0) and (ant1name in antRemove) or (ant2name
in antRemove):
copy = False
elif (len(antKeep) > 0) and not ((ant1name in antKeep) or
(ant2name in antKeep)):
copy = False
#print (' %s-%s : keep=%s' % (ant1name,ant2name,str(copy)))
if not copy:
Ndropped += 1
else:
difxout.write(binhdr)
difxout.write(rawvis)
Ncopied += 1
difxout.close()
# Finished
print('Vis. dropped : %d' % (Ndropped))
print('Vis. copied : %d' % (Ncopied))