def test1_applycal_fluxscale_gcal_bcal(self):
"""Test 1: Apply calibration using fluxscal gcal and bcal tables. Create flagbackup for an MMS"""
# Repository caltables are pre-v4.1, and we
# must update them _before_ applycal to avoid contention
casalog.post("Updating pre-v4.1 caltables: %s" % str(self.aux), "WARN",
"test1_applycal_fluxscale_gcal_bcal")
cblocal = cbtool()
for oldct in self.aux:
cblocal.updatecaltable(oldct)
casalog.post("Pre-v4.1 caltables updated", "INFO",
"test1_applycal_fluxscale_gcal_bcal")
# Run applycal in MMS mode. Verify that the flagbackup is correctly created for the top-level MMS only
applycal(vis=self.vis,
field='',
spw='',
selectdata=False,
gaintable=self.aux,
gainfield=['nearest', 'nearest', '0'],
interp=['linear', 'linear', 'nearest'],
spwmap=[],
flagbackup=True)
# Verify that flagbackup works
self.assertTrue(os.path.exists(self.vis + '.flagversions'),
'Backup of flags was not created')
files = os.listdir(self.vis + '/SUBMSS')
print files
for ff in files:
self.assertFalse(ff.__contains__('flagversions'))
def clearcal(
vis=None,
field=None,
spw=None,
intent=None,
addmodel=None,
):
casalog.origin('clearcal')
# Do the trivial parallelization
if ParallelTaskHelper.isParallelMS(vis):
helper = ParallelTaskHelper('clearcal', locals())
helper.go()
return
# Local versions of the tools
tblocal = tbtool()
cblocal = cbtool()
mslocal = mstool()
try:
# we will initialize scr cols only if we don't create them
doinit = False
if (type(vis) == str) & os.path.exists(vis):
tblocal.open(vis)
doinit = tblocal.colnames().count('CORRECTED_DATA') > 0
tblocal.close()
# We ignore selection if creating the scratch columns
if not doinit:
casalog.post(
'Need to create scratch columns; ignoring selection.')
cblocal.setvi(old=True, quiet=False)
# Old VI for now
cblocal.open(vis, addmodel=addmodel)
else:
raise Exception, \
'Visibility data set not found - please verify the name'
# If necessary (scr col not just created), initialize scr cols
if doinit:
cblocal.selectvis(field=field, spw=spw, intent=intent)
cblocal.initcalset(1)
cblocal.close()
# Write history to the MS
param_names = clearcal.func_code.co_varnames[:clearcal.func_code.
co_argcount]
param_vals = [eval(p) for p in param_names]
casalog.post('Updating the history in the output', 'DEBUG1')
write_history(mslocal, vis, 'clearcal', param_names, param_vals,
casalog)
except Exception, instance:
print '*** Error ***', instance
def test_getdata_putdata(self):
"""test ms.getdata, putdata"""
self.ms.close()
# need writable MS for putdata:
putms = 'ngc5921_put.ms'
shutil.copytree(self.testms, putms)
# add corrected_data
cb = cbtool()
cb.open(putms)
cb.close()
self.ms.open(putms, False)
# items list
rec = self.ms.getdata(['data', 'antenna1', 'scan_number'])
self.assertEqual(rec['antenna1'][1], 27)
self.assertEqual(rec['scan_number'][1], 1)
data0 = rec['data']
# double the data and write it into the MS
doubleData = data0 * 2
doubleRec = {'corrected_data': doubleData}
self.ms.putdata(doubleRec)
# make sure it is 2x
rec = self.ms.getdata(['corrected_data'])
testing.assert_array_almost_equal(rec['corrected_data'],
data0*2, 7)
self.ms.close()
self.removeMS(putms)
self.ms.open(self.testms) # reopen for tearDown
print
def clearcal(
vis=None,
field=None,
spw=None,
intent=None,
addmodel=None,
):
casalog.origin('clearcal')
# Do the trivial parallelization
if ParallelTaskHelper.isParallelMS(vis):
helper = ParallelTaskHelper('clearcal', locals())
helper.go()
return
# Local versions of the tools
tblocal = tbtool()
cblocal = cbtool()
mslocal = mstool()
try:
# we will initialize scr cols only if we don't create them
doinit = False
if (type(vis) == str) & os.path.exists(vis):
tblocal.open(vis)
doinit = tblocal.colnames().count('CORRECTED_DATA') > 0
tblocal.close()
# We ignore selection if creating the scratch columns
if not doinit:
casalog.post('Need to create scratch columns; ignoring selection.'
)
cblocal.open(vis, addmodel=addmodel)
else:
raise Exception, \
'Visibility data set not found - please verify the name'
# If necessary (scr col not just created), initialize scr cols
if doinit:
cblocal.selectvis(field=field, spw=spw, intent=intent)
cblocal.initcalset(1)
cblocal.close()
# Write history to the MS
param_names = clearcal.func_code.co_varnames[:clearcal.func_code.co_argcount]
param_vals = [eval(p) for p in param_names]
casalog.post('Updating the history in the output', 'DEBUG1')
write_history(mslocal, vis, 'clearcal', param_names,
param_vals, casalog)
except Exception, instance:
print '*** Error ***', instance
def setUp(self):
# Set-up MMS
self.vis = "ngc5921.applycal.mms"
self.vis_sorted = "ngc5921.applycal.sorted.mms"
setUpFile(self.vis,'vis')
# Set-up reference MMS
self.ref = "ngc5921.applycal.ms"
self.ref_sorted = "ngc5921.applycal.sorted.ms"
setUpFile(self.ref,'ref')
# Set-up auxiliary files
self.aux = ["ngc5921.fluxscale", "ngc5921.gcal", "ngc5921.bcal"]
setUpFile(self.aux ,'aux')
# Repository caltables are pre-v4.1, and we
# must update them _before_ applycal to avoid contention
casalog.post("Updating pre-v4.1 caltables: %s" % str(self.aux),"WARN","test1_applycal_fluxscale_gcal_bcal")
cblocal = cbtool()
for oldct in self.aux:
cblocal.updatecaltable(oldct)
casalog.post("Pre-v4.1 caltables updated","INFO","test_mpi4casa_applycal")
# Tmp files
self.vis2 = self.vis + '.2'
self.vis3 = self.vis + '.3'
self.vis_sorted2 = self.vis_sorted + '.2'
self.vis_sorted3 = self.vis_sorted + '.3'
# Tmp aux files
self.aux2 = []
self.aux3 = []
for file in self.aux:
self.aux2.append(file + '.2')
self.aux3.append(file + '.3')
# Set up cluster
self.client = MPICommandClient()
self.client.set_log_mode('redirect')
self.client.start_services()
def test1_applycal_fluxscale_gcal_bcal(self):
"""Test 1: Apply calibration using fluxscal gcal and bcal tables. Create flagbackup for an MMS"""
# Repository caltables are pre-v4.1, and we
# must update them _before_ applycal to avoid contention
casalog.post("Updating pre-v4.1 caltables: %s" % str(self.aux),"WARN","test1_applycal_fluxscale_gcal_bcal")
cblocal = cbtool()
for oldct in self.aux:
cblocal.updatecaltable(oldct)
casalog.post("Pre-v4.1 caltables updated","INFO","test1_applycal_fluxscale_gcal_bcal")
# Run applycal in MMS mode. Verify that the flagbackup is correctly created for the top-level MMS only
applycal(vis=self.vis,field='',spw='',selectdata=False,gaintable=self.aux,
gainfield=['nearest','nearest','0'],
interp=['linear', 'linear','nearest'],spwmap=[], flagbackup=True)
# Verify that flagbackup works
self.assertTrue(os.path.exists(self.vis+'.flagversions'), 'Backup of flags was not created')
files = os.listdir(self.vis+'/SUBMSS')
print files
for ff in files:
self.assertFalse(ff.__contains__('flagversions'))
def test_getdata2_putdata2(self):
"""test ms.getdata2, putdata2"""
self.ms.close()
# need writable MS for putdata:
putms = 'ngc5921_put.ms'
shutil.copytree(self.testms, putms)
# add corrected_data
cb = cbtool()
cb.open(putms)
cb.close()
self.ms.open(putms, False)
# items list
rec = self.ms.getdata2(['data', 'antenna1', 'scan_number'])
self.assertEqual(rec['antenna1'][1], 27)
self.assertEqual(rec['scan_number'][1], 1)
data0 = rec['data']
# double the data and write it into the MS
doubleData = data0 * 2
doubleRec = {'corrected_data': doubleData}
self.ms.putdata2(doubleRec)
# make sure it is 2x
rec = self.ms.getdata2(['corrected_data'])
self.assertEqual(rec['corrected_data'].shape, (2,63,22653))
testing.assert_array_almost_equal(rec['corrected_data'], data0*2)
# divide by 2 (=data again) and put it back, use ifraxis
rec = self.ms.getdata2(['corrected_data'], ifraxis=True)
halfData = rec['corrected_data']*0.5
self.assertEqual(halfData.shape, (2,63,378,60))
halfRec = {'corrected_data': halfData}
self.ms.putdata2(halfRec)
rec = self.ms.getdata2(['data','corrected_data'])
testing.assert_array_almost_equal(rec['corrected_data'],
rec['data'])
self.ms.close()
self.removeMS(putms)
self.ms.open(self.testms) # reopen for tearDown
print
import os
from taskinit import casalog, cbtool, mstool
from mstools import write_history
from parallel.parallel_task_helper import ParallelTaskHelper
_ms = mstool()
_cb = cbtool()
def delmod(vis=None, otf=None, field=None, scr=None):
casalog.origin('delmod')
# Do the trivial parallelization
if ParallelTaskHelper.isParallelMS(vis):
helper = ParallelTaskHelper('delmod', locals())
helper.go()
return
#Python script
try:
# only if vis exists...
if ((type(vis) == str) & (os.path.exists(vis))):
# ... and we are asked to do something...
# open without adding anything!
_cb.open(vis, addcorr=False, addmodel=False)
_cb.delmod(otf=otf, field=field, scr=scr)
_cb.close()
else:
raise Exception, 'Visibility data set not found - please verify the name'
