print "===> Chan/corr slicing reduces this to %10d visibilities (%.3g%% of selection)" % (
nvis_A, nvis_A * percent)
if not (options.flagmask is None and options.flagmask_all is None
and options.flagmask_none is None):
print "===> Flag selection reduces this to %10d visibilities (%.3g%% of selection)" % (
nvis_B, nvis_B * percent)
if options.nan or options.above is not None or options.below is not None or \
options.fm_above is not None or options.fm_below is not None:
print "===> Data selection reduces this to %10d visibilities (%.3g%% of selection)" % (
nvis_C, nvis_C * percent)
if unflagstr:
print "===> (which were unflagged using flagmask %s)" % unflagstr
if flagstr:
print "===> (which were flagged using flagmask %s)" % flagstr
flagger.close()
# export flags from file, if so specified
if options.export:
try:
dump = Owlcat.Tables.TableDump(options.export,
write=True,
compress=True)
ms = get_ms()
colnames = set(ms.colnames())
print "Exporting flags to %s, %d rows:" % (options.export,
ms.nrows())
for colname in FLAGCOLS:
if colname in colnames:
dump.dump_column(ms, colname, verbose=True)
ms.close()
if options.channels or options.corrs:
print("===> Chan/corr slicing reduces this to %10d visibilities (%.3g%% of selection)" % (
nvis_A, nvis_A * percent))
if not (options.flagmask is None and options.flagmask_all is None and options.flagmask_none is None):
print("===> Flag selection reduces this to %10d visibilities (%.3g%% of selection)" % (
nvis_B, nvis_B * percent))
if options.nan or options.above is not None or options.below is not None or \
options.fm_above is not None or options.fm_below is not None:
print("===> Data selection reduces this to %10d visibilities (%.3g%% of selection)" % (
nvis_C, nvis_C * percent))
if unflagstr:
print("===> (which were unflagged using flagmask %s)" % unflagstr)
if flagstr:
print("===> (which were flagged using flagmask %s)" % flagstr)
flagger.close()
# export flags from file, if so specified
if options.export:
try:
dump = Owlcat.Tables.TableDump(options.export, write=True, compress=True)
ms = get_ms()
colnames = set(ms.colnames())
print("Exporting flags to %s, %d rows:" % (options.export, ms.nrows()))
for colname in FLAGCOLS:
if colname in colnames:
dump.dump_column(ms, colname, verbose=True)
ms.close()
dump.close()
except:
traceback.print_exc()
print "===> (over which legacy flags were filled using flagmask %s)"%legacystr;
percent = 100.0/sel_nvis if sel_nvis else 0;
if options.channels or options.corrs:
print "===> Chan/corr slicing reduces this to %10d visibilities (%.3g%% of selection)"%(nvis_A,nvis_A*percent);
if not (options.flagmask is None and options.flagmask_all is None and options.flagmask_none is None):
print "===> Flag selection reduces this to %10d visibilities (%.3g%% of selection)"%(nvis_B,nvis_B*percent);
if options.nan or options.above is not None or options.below is not None or \
options.fm_above is not None or options.fm_below is not None:
print "===> Data selection reduces this to %10d visibilities (%.3g%% of selection)"%(nvis_C,nvis_C*percent);
if unflagstr:
print "===> (which were unflagged using flagmask %s)"%unflagstr;
if flagstr:
print "===> (which were flagged using flagmask %s)"%flagstr;
flagger.close();
# export flags from file, if so specified
if options.export:
try:
dump = Owlcat.Tables.TableDump(options.export,write=True,compress=True);
ms = get_ms();
colnames = set(ms.colnames());
print "Exporting flags to %s, %d rows:"%(options.export,ms.nrows());
for colname in FLAGCOLS:
if colname in colnames:
dump.dump_column(ms,colname,verbose=True);
ms.close();
dump.close();
except:
traceback.print_exc();
