rem stringlengths 0 322k | add stringlengths 0 2.05M | context stringlengths 8 228k |
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comp = getbeams(restoringbeam) if (comp == []): raise Exception, "restoringbeam is empty or invalid" bmaj = comp[0] bmin = comp[1] bpa = comp[2] im.setbeam(bmaj,bmin,bpa) | def csvclean(vis, imagename,field, spw, imsize, cell, niter, weighting, restoringbeam, interactive): """ Create a clean image using Hogbom and restore the residuals vis -- Name of input visibility file default: none; example: vis='ngc5921.ms' imagename -- Pre-name of output images: default: none; example: imagename=... | |
maskname='' if(interactive): maskname=imagename+'.mask' im.drawmask(dirtyim, maskname) | def csvclean(vis, imagename,field, spw, imsize, cell, niter, weighting, restoringbeam, interactive): """ Create a clean image using Hogbom and restore the residuals vis -- Name of input visibility file default: none; example: vis='ngc5921.ms' imagename -- Pre-name of output images: default: none; example: imagename=... | |
dc.clean(niter=niter, model=modelname) | dc.clean(niter=niter, model=modelname, mask=maskname) | def csvclean(vis, imagename,field, spw, imsize, cell, niter, weighting, restoringbeam, interactive): """ Create a clean image using Hogbom and restore the residuals vis -- Name of input visibility file default: none; example: vis='ngc5921.ms' imagename -- Pre-name of output images: default: none; example: imagename=... |
try: ms.close() except: casalog.post("MS closed.", 'INFO') raise Exception, instance | raise Exception, instance | def csvclean(vis, imagename,field, spw, imsize, cell, niter, weighting, restoringbeam, interactive): """ Create a clean image using Hogbom and restore the residuals vis -- Name of input visibility file default: none; example: vis='ngc5921.ms' imagename -- Pre-name of output images: default: none; example: imagename=... |
if len(direction) >1: if self.verbose: self.msg("You are inputing the precise pointings in 'direction' - if you want me to calculate a mosaic, give a single direction",priority="warn") return len(direction), direction, [0.]*len(direction) else: direction=direction[0] | if type(direction)==type([]): if len(direction) > 1: if self.verbose: self.msg("You are inputing the precise pointings in 'direction' - if you want me to calculate a mosaic, give a single direction",priority="warn") return len(direction), direction, [0.]*len(direction) else: direction=direction[0] | def calc_pointings(self, spacing, imsize, direction=None, relmargin=0.33): """ If direction is a list, simply returns direction and the number of pointings in it. Otherwise, returns a hexagonally packed list of pointings separated by spacing and fitting inside an area specified by direction and imsize, as well as the ... |
except RuntimeError: | except RuntimeError, e: | def poly_baseline(self, mask=None, order=0, plot=False, batch=False, insitu=None, rows=None): """\ Return a scan which has been baselined (all rows) by a polynomial. Parameters: mask: an optional mask order: the order of the polynomial (default is 0) plot: plot the fit and the residual. In this each in... |
raise RuntimeError(msg) | raise RuntimeError(str(e)+'\n'+msg) | def poly_baseline(self, mask=None, order=0, plot=False, batch=False, insitu=None, rows=None): """\ Return a scan which has been baselined (all rows) by a polynomial. Parameters: mask: an optional mask order: the order of the polynomial (default is 0) plot: plot the fit and the residual. In this each in... |
if chanind0[0]>1: raise Exception, 'clean can not yet accept chan averaging in spw parameter '+spw else: chanind0=[1,0,len(chanfreqs0)-1,1] | else: chanind0=[0,0,len(chanfreqs0)-1,1] | def setChannelization(self,mode,spw,field,nchan,start,width,frame,veltype,restf): """ determine appropriate values for channelization parameters when default values are used for mode='velocity' or 'frequency' or 'channel' """ |
fend=fstep*(nchan+1)+fstart | fend=fstep*(nchan)+fstart | def pcube(msname=None, imagename='elimage', imsize=[1000, 1000], pixsize=['1arcsec', '1arcsec'], phasecenter='', field='', spw='*', ftmachine='ft', wprojplanes=128, facets=1, hostnames='', numcpuperhost=1, majorcycles=1, niter=1000, threshold='0.0mJy', alg='clark', scales=[0], mode='channel', start=0, nchan=1, step=1, ... |
spwsel,startsel,nchansel=findchansel(msname, spwids, nchanchunk, beginfreq=fstart, endfreq=fend, continuum=False) | spwsel,startsel,nchansel=findchansel(msname, spwids, nchanchunk, beginfreq=fstart, endfreq=fend, continuum=True) | def pcube(msname=None, imagename='elimage', imsize=[1000, 1000], pixsize=['1arcsec', '1arcsec'], phasecenter='', field='', spw='*', ftmachine='ft', wprojplanes=128, facets=1, hostnames='', numcpuperhost=1, majorcycles=1, niter=1000, threshold='0.0mJy', alg='clark', scales=[0], mode='channel', start=0, nchan=1, step=1, ... |
def run(self, workdir='testing') : | def run(self, workdir='testing', verbose=True) : | def run(self, workdir='testing') : try : startdir = os.getcwd() os.mkdir(self.workdir) os.chdir(self.workdir) startTime = time.time() print self.title + ":" + workdir for mystep in self.steps : print "Processing step: " +mystep for task in eval('self.'+mystep+"['tasks']") : #print " "+ eval('self.'+mystep+"['"+task+"... |
count = 0 | def run(self, workdir='testing') : try : startdir = os.getcwd() os.mkdir(self.workdir) os.chdir(self.workdir) startTime = time.time() print self.title + ":" + workdir for mystep in self.steps : print "Processing step: " +mystep for task in eval('self.'+mystep+"['tasks']") : #print " "+ eval('self.'+mystep+"['"+task+"... | |
count = count + 1 | beenrun[task] = beenrun[task]+1 | def run(self, workdir='testing') : try : startdir = os.getcwd() os.mkdir(self.workdir) os.chdir(self.workdir) startTime = time.time() print self.title + ":" + workdir for mystep in self.steps : print "Processing step: " +mystep for task in eval('self.'+mystep+"['tasks']") : #print " "+ eval('self.'+mystep+"['"+task+"... |
ms.open(viso) | ms.open(vis) | def flagcmd(vis=None,flagmode=None,flagfile=None,flagrows=None,command=None,tbuff=None,antenna=None,reason=None,useapplied=None,optype=None,flagsort=None,outfile=None,flagbackup=None,reset=None,clearall=None,rowlist=None,setcol=None,setval=None): # # Task flagcmd # Reads flag commands from file or string and applies... |
raise Exception, "Error opening MS "+viso | raise Exception, "Error opening MS "+vis | def flagcmd(vis=None,flagmode=None,flagfile=None,flagrows=None,command=None,tbuff=None,antenna=None,reason=None,useapplied=None,optype=None,flagsort=None,outfile=None,flagbackup=None,reset=None,clearall=None,rowlist=None,setcol=None,setval=None): # # Task flagcmd # Reads flag commands from file or string and applies... |
print (inspect.getlineno(inspect.currentframe())) | def immath(imagename, mode, outfile, expr, varnames, sigma, mask, \ region, box, chans, stokes ): # Tell CASA who will be reporting casalog.origin('immath') retValue = False # NOTE: This step likely be eliminated # # Remove any old tmp files that may be left from # a previous run of immath tb.clearlocks() tmpFilePrefix... | |
casalog.post( 'Unable to construct pixel expression aborting immath.' 'SEVERE' ) casalog.post( 'Exception occured during expression construction\n'\ +str(e), 'DEBUG2' ) | casalog.post( "Unable to construct pixel expression aborting immath: " + str(e), 'SEVERE' ) return False | def immath(imagename, mode, outfile, expr, varnames, sigma, mask, \ region, box, chans, stokes ): # Tell CASA who will be reporting casalog.origin('immath') retValue = False # NOTE: This step likely be eliminated # # Remove any old tmp files that may be left from # a previous run of immath tb.clearlocks() tmpFilePrefix... |
for r in xrange(nrow): s.auto_poly_baseline(mask=basemask,order=blpoly,edge=edge,threshold=thresh,chan_avg_limit=avg_limit,plot=verify,rows=r) msk = s.actualmask[0] rmsofrow = s._math._statsrow(s, msk, 'rms', r)[0] masklistofrow = s.masklists[0] dataout = _format_output_row(s, s.blpars, rmsofrow, masklistofrow, r) blf.... | if batch: s.poly_baseline(mask=basemask,order=blpoly,batch=True) | def sdbaseline(sdfile, antenna, fluxunit, telescopeparm, specunit, frame, doppler, scanlist, field, iflist, pollist, tau, blmode, blpoly, verify, masklist, thresh, avg_limit, edge, batch, outfile, outform, overwrite, plotlevel): casalog.origin('sdbaseline') try: #load the data with or without averaging if sdfile==''... |
s.auto_poly_baseline(order=blpoly,edge=edge,threshold=thresh,chan_avg_limit=avg_limit,plot=verify,rows=r) msk = s.actualmask[0] rmsofrow = s._math._statsrow(s, msk, 'rms', r)[0] masklistofrow = s.masklists[0] dataout = _format_output_row(s, s.blpars, rmsofrow, masklistofrow, r) blf.write(dataout) del msk,rmsofrow,maskl... | s.poly_baseline(mask=basemask,order=blpoly,plot=verify,rows=r) | def sdbaseline(sdfile, antenna, fluxunit, telescopeparm, specunit, frame, doppler, scanlist, field, iflist, pollist, tau, blmode, blpoly, verify, masklist, thresh, avg_limit, edge, batch, outfile, outform, overwrite, plotlevel): casalog.origin('sdbaseline') try: #load the data with or without averaging if sdfile==''... |
del basemask else: for r in xrange(nrow): s.poly_baseline(order=blpoly,plot=verify,batch=batch,rows=r) msk = s.actualmask[0] rmsofrow = s._math._statsrow(s, msk, 'rms', r)[0] masklistofrow = s.masklists[0] dataout = _format_output_row(s, s.blpars, rmsofrow, masklistofrow, r) blf.write(dataout) del msk,rmsofrow,masklist... | del basemask | def sdbaseline(sdfile, antenna, fluxunit, telescopeparm, specunit, frame, doppler, scanlist, field, iflist, pollist, tau, blmode, blpoly, verify, masklist, thresh, avg_limit, edge, batch, outfile, outform, overwrite, plotlevel): casalog.origin('sdbaseline') try: #load the data with or without averaging if sdfile==''... |
if len(msks) > 0: s.poly_baseline(mask=msk,order=blpoly,plot=verify,batch=False) rmsl=list(s.stats('rms',msk)) dataout=_format_output(s,s.blpars,rmsl) else: s.poly_baseline(order=blpoly,plot=verify,batch=False) rmsl=list(s.stats('rms')) dataout=_format_output(s,s.blpars,rmsl) del msk, msks | s.poly_baseline(mask=msk,order=blpoly,plot=verify,batch=False) rmsl=list(s.stats('rms',msk)) dataout=_format_output(s,s.blpars,rmsl) del msk | def sdbaseline(sdfile, antenna, fluxunit, telescopeparm, specunit, frame, doppler, scanlist, field, iflist, pollist, tau, blmode, blpoly, verify, masklist, thresh, avg_limit, edge, batch, outfile, outform, overwrite, plotlevel): casalog.origin('sdbaseline') try: #load the data with or without averaging if sdfile==''... |
util=simutil(direction,startfreq=qa.quantity(startfreq), verbose=verbose) | util=simutil(startfreq=qa.quantity(startfreq),verbose=verbose) | def sdsim( project=None, |
imcenter , offsets = util.average_direction(pointings) | imcenter , offsets = util.average_direction(pointings) util.direction=imcenter | def sdsim( project=None, |
if nant > 1: antnames=[telescopename+('SD%02d'%ant)] | if nant > 1: antnames=[telescopename+('%02dTP'%ant)] | def sdsim( project=None, |
sm.setoptions(gridfunction='pb', ftmachine=ftmachine, location=posobs, cache=100000) | sm.setoptions(gridfunction='pb', ftmachine=ftmachine, location=posobs) | def sdsim( project=None, |
90: numpy.array([[670450.+0.1j, 670450.+1.10000002j, 670450.+2.1j, 670450.+3.1j], [670450.+0.1j, 670450.+1.10000002j, 670450.+2.1j, 670450.+3.1j]]), 91: numpy.array([[671150.+0.100j, 671150.+1.10000014j, 671150.+2.100j, 671150.+3.10000014j], [671150.+0.100j, 671150.+1.10000014j, 671150.+2.100j, 671150.+... | 90: numpy.array([[162467.015625+0.j, 162467.015625+1.j, 162467.015625+2.j, 162467.015625+3.j], [162467.015625+0.j, 162467.015625+1.j, 162467.015625+2.j, 162467.015625+3.j]]), 91: numpy.array([[163467.015625+0.j, 163467.015625+1.j, 163467.015625+2.j, 163467.015625+3.j], [163467.015625+0.j, 163467.015625+1.j, 163467.0156... | def test_tav_data(self): """Time averaged DATA""" check_eq(self.records['tav']['DATA'], {0: numpy.array([[ 455.+0.10000001j, 455.+1.10000014j, 455.+2.10000014j, 455.+3.10000014j], [ 455.+0.10000001j, 455.+1.10000014j, 455.+2.10000014j, 455.+3.10000014j]]), 4: numpy.array([[4455.+0.10000001j, 4455.+1.10000014j, 4455... |
90: numpy.array([ 4., 4.]), | 90: numpy.array([ 10., 10.]), | def test_tav_wt(self): """Time averaged WEIGHT""" check_eq(self.records['tav']['WEIGHT'], {0: numpy.array([ 10., 10.]), 4: numpy.array([ 10., 10.]), 5: numpy.array([ 9., 9.]), 6: numpy.array([ 10., 10.]), 7: numpy.array([ 10., 10.]), 90: numpy.array([ 4., 4.]), 91: numpy.array([ 10., 10.])}, 0.01) #self.__class_... |
{0: 10.0, 4: 10.0, 5: 9.0, 6: 10.0, 7: 10.0, 90: 4.0, 91: 10.0}, | {0: 10.0, 4: 10.0, 5: 9.0, 6: 10.0, 7: 10.0, 90: 10.0, 91: 10.0}, | def test_tav_int(self): """Time averaged INTERVAL""" check_eq(self.records['tav']['INTERVAL'], {0: 10.0, 4: 10.0, 5: 9.0, 6: 10.0, 7: 10.0, 90: 4.0, 91: 10.0}, 0.01) #self.__class__.n_tests_passed += 1 |
{0: 1, 4: 1, 5: 1, 6: 1, 7: 1, 90: 1, 91: 1, 123: 0}) | {0: 1, 4: 1, 5: 1, 6: 1, 7: 1, 90: 0, 91: 0, 123: 0}) | def test_tav_state_id(self): """Time averaged STATE_ID""" check_eq(self.records['tav']['STATE_ID'], {0: 1, 4: 1, 5: 1, 6: 1, 7: 1, 90: 1, 91: 1, 123: 0}) |
{0: 5, 4: 5, 5: 5, 6: 6, 7: 6, 90: 100, 91: 100, 123: 38}) | {0: 5, 4: 5, 5: 5, 6: 6, 7: 6, 90: 17, 91: 17, 123: 40}) | def test_tav_scan(self): """Time averaged SCAN_NUMBER""" check_eq(self.records['tav']['SCAN_NUMBER'], {0: 5, 4: 5, 5: 5, 6: 6, 7: 6, 90: 100, 91: 100, 123: 38}) |
dopart4 = False | dopart4 = True | def analyseASDM(basename, caltablename0): # Reduction of NGC3256 Band 6 # M. Zwaan, May 2010 # D. Petry, May 2010 # We ignore flux calibration for now. # The script does bandpass, gain calibration (gaincal), WVR correction and a delay corrections. # Calibration tables are applied with applycal and images of the calibr... |
os.system('rm -rf '+myasdm_dataset2_name+'-re-exported*') | os.system('rm -rf '+myasdm_dataset2_name+'-re-exported* '+myasdm_dataset2_name+'-split*') split(vis=myasdm_dataset2_name+'.ms', outputvis=myasdm_dataset2_name+'-split.ms', datacolumn='data', spw='0~3' ) | def analyseASDM(basename, caltablename0): # Reduction of NGC3256 Band 6 # M. Zwaan, May 2010 # D. Petry, May 2010 # We ignore flux calibration for now. # The script does bandpass, gain calibration (gaincal), WVR correction and a delay corrections. # Calibration tables are applied with applycal and images of the calibr... |
vis = myasdm_dataset2_name+'.ms', | vis = myasdm_dataset2_name+'-split.ms', | def analyseASDM(basename, caltablename0): # Reduction of NGC3256 Band 6 # M. Zwaan, May 2010 # D. Petry, May 2010 # We ignore flux calibration for now. # The script does bandpass, gain calibration (gaincal), WVR correction and a delay corrections. # Calibration tables are applied with applycal and images of the calibr... |
if len(mstoimage): if nfld==1: cleanmode="csclean" else: cleanmode="mosaic" outflat_current=False convsky_current=False beam_current=False imagename=project if image and len(mstoimage)>0: | if nfld==1: cleanmode="csclean" else: cleanmode="mosaic" | def simdata( project=None, modifymodel=None, skymodel=None, inbright=None, indirection=None, incell=None, incenter=None, inwidth=None, # innchan=None, setpointings=None, ptgfile=None, integration=None, direction=None, mapsize=None, maptype=None, pointingspacing=None, caldirection=None, calflux=None, predict=None, refda... |
im.weight(type='briggs',rmode='norm',robust=-1,mosaic=False) | im.weight(type='briggs',rmode='norm',robust=-1,mosaic=True) | def joint_deconvolve(datapath): print '--Joint deconvolution --' #Regrid GBT image onto synth imaging coordinates ia.open('orion_tsdmem.image') csys = ia.coordsys() ia.close() ia.open(datapath+'orion.gbt.im') ia.regrid(outfile='orion_tgbt_regrid.im',shape=[300,300,1,1], csys=csys.torecord(),overwrite=True) ia.close() ... |
('Feather 2', 'max', 0.868, ' '), ('SD Model (MS)', 'max', 1.05), ('SD Model (MEM)', 'max', 0.87), ('Joint Deconvolution', 'max', 0.81, '', 'Joint Decon1'), | ('Feather 2', 'max', 0.978, ' '), ('SD Model (MS)', 'max', 1.16), ('SD Model (MEM)', 'max', 0.906), ('Joint Deconvolution', 'max', 1.10, '', 'Joint Decon1'), | def joint_deconvolve(datapath): print '--Joint deconvolution --' #Regrid GBT image onto synth imaging coordinates ia.open('orion_tsdmem.image') csys = ia.coordsys() ia.close() ia.open(datapath+'orion.gbt.im') ia.regrid(outfile='orion_tgbt_regrid.im',shape=[300,300,1,1], csys=csys.torecord(),overwrite=True) ia.close() ... |
('SD Model (MS)', 'flux', 351, ' ', 'SD Model (MS)', 'Feather 3'), ('SD Model (MEM)', 'flux', 289, '', 'SD Model (MEM)', 'Joint Deconvolution'), ('Joint Deconvolution', 'flux', 169, '', 'Joint Decon2')) | ('SD Model (MS)', 'flux', 368, ' ', 'SD Model (MS)', 'Feather 3'), ('SD Model (MEM)', 'flux', 286, '', 'SD Model (MEM)', 'Joint Deconvolution'), ('Joint Deconvolution', 'flux', 225, '', 'Joint Decon2')) | def joint_deconvolve(datapath): print '--Joint deconvolution --' #Regrid GBT image onto synth imaging coordinates ia.open('orion_tsdmem.image') csys = ia.coordsys() ia.close() ia.open(datapath+'orion.gbt.im') ia.regrid(outfile='orion_tgbt_regrid.im',shape=[300,300,1,1], csys=csys.torecord(),overwrite=True) ia.close() ... |
tb.putcol(columnname='STATE_ID',value=[0]*nfld,startrow=0,nrow=nfld,rowincr=1) | tb.putcol(columnname='STATE_ID',value=[0]*nscan,startrow=0,nrow=nscan,rowincr=1) | def simdata2( project=None, modifymodel=None, skymodel=None, inbright=None, indirection=None, incell=None, incenter=None, inwidth=None, # innchan=None, setpointings=None, ptgfile=None, integration=None, direction=None, mapsize=None, maptype=None, pointingspacing=None, caldirection=None, calflux=None, predict=None, refd... |
contclean=False, visinmem=False, | contclean=False, visinmem=False, interactive=False, | def pcont(msname=None, imagename=None, imsize=[1000, 1000], pixsize=['1arcsec', '1arcsec'], phasecenter='', field='', spw='*', ftmachine='ft', wprojplanes=128, facets=1, hostnames='', numcpuperhost=1, majorcycles=1, niter=1000, alg='clark', scales=[0], weight='natural', contclean=False, visinmem=False, painc=360., pbli... |
copyimage(inimage=residual, outimage='lala.mask', init=True, initval=1.0) | def pcont(msname=None, imagename=None, imsize=[1000, 1000], pixsize=['1arcsec', '1arcsec'], phasecenter='', field='', spw='*', ftmachine='ft', wprojplanes=128, facets=1, hostnames='', numcpuperhost=1, majorcycles=1, niter=1000, alg='clark', scales=[0], weight='natural', contclean=False, visinmem=False, painc=360., pbli... | |
" time=%s, correlation=%s"%(field,spw,array,feed,scan,antenna,uvrange,timerange) | " time=%s, correlation=%s"%(field,spw,array,feed,scan,antenna,uvrange,timerange, correlation) | def flagdata2(vis = None, flagbackup = None, selectdata = None, spw = None, field = None, antenna = None, uvrange = None, timerange = None, correlation = None, scan = None, feed = None, array = None, manualflag = None, mf_spw = None, mf_field = None, mf_antenna = None, mf_uvrange = None, mf_timerange = None, mf_correla... |
msg = '"Found '+str(nr)+', expected '+str(expnumspws)+' spectral windows in '+msname | msg = "Found "+str(nr)+", expected "+str(expnumspws)+" spectral windows in "+msname | def verify_ms(msname, expnumspws, expnumchan, inspw): msg = '' tb.open(msname+'/SPECTRAL_WINDOW') nc = tb.getcell("NUM_CHAN", inspw) nr = tb.nrows() tb.close() tb.open(msname) dimdata = tb.getcell("FLAG", 0)[0].size tb.close() if not (nr==expnumspws): msg = '"Found '+str(nr)+', expected '+str(expnumspws)+' spectral win... |
os.system('rm -rf cvel-output.ms cvel-output.ms.deselected myinput.ms') | pass | def tearDown(self): os.system('rm -rf cvel-output.ms cvel-output.ms.deselected myinput.ms') |
rval = cvel( vis = 'myinput.ms', outputvis = outfile, field = '1', spw = '0', passall = False, mode='frequency', nchan = 2, start = '150GHz', width = '3MHz', outframe = 'BARY', phasecenter = 12 ) self.assertNotEqual(rval,False) ret = verify_ms(outfile, 1, 2, 0) self.assertTrue(ret[0],ret[1]) | try: rval = cvel( vis = 'myinput.ms', outputvis = outfile, field = '1', spw = '0', passall = False, mode='frequency', nchan = 2, start = '150GHz', width = '3MHz', outframe = 'BARY', phasecenter = 12 ) self.assertNotEqual(rval,False) ret = verify_ms(outfile, 1, 2, 0) self.assertTrue(ret[0],ret[1]) except: print "*** Exp... | def test14(self): '''Cvel 14: I/O vis set, input vis with one spws, one field selected, one spws selected, passall = False, non-existing phase center...''' myvis = vis_a os.system('cp -R ' + myvis + ' myinput.ms') rval = cvel( vis = 'myinput.ms', outputvis = outfile, field = '1', spw = '0', passall = False, mode='frequ... |
ret = verify_ms(omsname, 1, 10, 0) | ret = verify_ms(outfile, 1, 10, 0) | def test19(self): '''Cvel 19: SMA input MS, 24 spws to combine, channel mode, 10 output channels''' myvis = vis_e os.system('cp -R ' + myvis + ' myinput.ms') rval = cvel( vis = 'myinput.ms', outputvis = outfile, mode='channel', nchan = 10, start = 100, width = 2, phasecenter = "J2000 18h25m56.09 -12d04m28.20" ) self.as... |
if (len(flagrow) == 0) and (not clip): if (len(maskflag) == 0): raise Exception, 'maskflag is undefined' masks = s.create_mask(maskflag) | def sdflag(sdfile, antenna, scanlist, field, iflist, pollist, maskflag, flagrow, clip, clipminmax, clipoutside, flagmode, outfile, outform, overwrite, plotlevel): casalog.origin('sdflag') ### ### Now the actual task code ### try: myp=None if sdfile=='': raise Exception, 'sdfile is undefined' filename = os.path.expan... | |
if myf.has_key('casa') and myf['casa'].has_key('helpers') and myf['casa']['helpers'].has_key('viewer'): | if type(myf) == dict and myf.has_key('casa') and type(myf['casa']) == dict and myf['casa'].has_key('helpers') \ and type(myf['casa']['helpers']) == dict and myf['casa']['helpers'].has_key('viewer'): | def __launch( self ): |
args = [ viewer_path, "--casapy" ] | def __launch( self ): | |
except Except, instance: | except: | def imhead(imagename=None,mode=None,hdkey=None,hdvalue=None,hdtype=None,hdcomment=None): # Some debugging info. casalog.origin('imhead') casalog.post( "parameter imagename: "+imagename, 'DEBUG1' ) casalog.post( "parameter mode: "+mode, 'DEBUG1') casalog.post( "parameter hdkey: "+hdkey, 'DEBUG1') casalog.post( ... |
casalog.post( ' Python exception is: Unable update keyword '+hdkey+' from image file '+imagename, 'SEVERE' ) | def imhead(imagename=None,mode=None,hdkey=None,hdvalue=None,hdtype=None,hdcomment=None): # Some debugging info. casalog.origin('imhead') casalog.post( "parameter imagename: "+imagename, 'DEBUG1' ) casalog.post( "parameter mode: "+mode, 'DEBUG1') casalog.post( "parameter hdkey: "+hdkey, 'DEBUG1') casalog.post( ... | |
casalog.post( '*** Error *** Unable update keyword '+hdkey+' from image file '+imagename+'\n'+str(instance), 'SEVERE' ) casalog.post( str(' Python error: ')+str(instance),'SEVERE' ) | casalog.post( '*** Error *** Unable to update keyword '+hdkey+' from image file '+imagename+'\n'+str(instance), 'SEVERE' ) | def imhead(imagename=None,mode=None,hdkey=None,hdvalue=None,hdtype=None,hdcomment=None): # Some debugging info. casalog.origin('imhead') casalog.post( "parameter imagename: "+imagename, 'DEBUG1' ) casalog.post( "parameter mode: "+mode, 'DEBUG1') casalog.post( "parameter hdkey: "+hdkey, 'DEBUG1') casalog.post( ... |
out += " rms = %3.6f\n" % (rms[r][0]) | if type(rms[r])==list: out += " rms = %3.6f\n" % (rms[r][0]) else: out += " rms = %3.6f\n" % (rms[r]) | def _format_output(scan=None,pars=None,rms=None,masklists=None): # Check input scantable if not isinstance(scan, Scantable): casalog.post( "Data is not scantable", priority = 'ERROR' ) return nrow = scan.nrow() # Check baseline fit parameters if not isinstance(pars,list): casalog.post( "Invalid baseline parameters.",... |
if ( stats.has_key('msx' ) ): | if ( stats.has_key('max' ) ): | def imhead(imagename=None,mode=None,hdkey=None,hdvalue=None,hdtype=None,hdcomment=None): # Some debugging info. casalog.origin('imhead') casalog.post( "parameter imagename: "+imagename, 'DEBUG1' ) casalog.post( "parameter mode: "+mode, 'DEBUG1') casalog.post( "parameter hdkey: "+hdkey, 'DEBUG1') casalog.post( ... |
im=self.im origname=msname | if(not self.imperms.has_key(msname)): self.imageparamset=False im=imtool.create() self.imperms['msname']=im else: im=self.imperms['msname'] self.imageparamset=True | def imagecont(self, msname='spw00_4chan351rowTile.ms', start=0, numchan=1, spw=0, field=0, freq='1.20GHz', band='200MHz', imname='newmodel'): im=self.im origname=msname ###either psf 0 or no channel selected if(self.novaliddata): return #j=start #end=start+numchan-1 #spwstring=str(spw)+':'+str(start)+'~'+str(end) #prin... |
msname=origname | def imagecont(self, msname='spw00_4chan351rowTile.ms', start=0, numchan=1, spw=0, field=0, freq='1.20GHz', band='200MHz', imname='newmodel'): im=self.im origname=msname ###either psf 0 or no channel selected if(self.novaliddata): return #j=start #end=start+numchan-1 #spwstring=str(spw)+':'+str(start)+'~'+str(end) #prin... | |
elif pbcor: sclt='NONE' | def clean(vis, imagename,outlierfile, field, spw, selectdata, timerange, uvrange, antenna, scan, mode, gridmode, wprojplanes, facets, cfcache, painc, epjtable, interpolation, niter, gain, threshold, psfmode, imagermode, ftmachine, mosweight, scaletype, multiscale, negcomponent, smallscalebias, interactive, mask, nchan,... | |
result = nose.run(argv=[sys.argv[0],"-d","--with-xunit","--verbosity=2","--xunit-file="+xmlfile], | result = nose.run(argv=[sys.argv[0],"-d","-s","--with-xunit","--verbosity=2","--xunit-file="+xmlfile], | def main(testnames=[]): if testnames == []: whichtests = 0 else: whichtests = 1 # Directories PWD = os.getcwd() WDIR = PWD+'/nosedir/' # Create a working directory workdir = WDIR print 'Creating working directory '+ workdir if os.access(workdir, os.F_OK) is False: os.makedirs(workdir) else: shutil.rmtree(workdir) o... |
got = clist['component0']['shape']['direction']['m0']['value'] | shape = clist['component0']['shape'] got = shape['direction']['m0']['value'] | def run_imfit(): default('imfit') return imfit(imagename=convolved_model, estimates=estimates_convolved) |
got = clist['component0']['shape']['direction']['m1']['value'] | got = shape['direction']['m1']['value'] | def run_imfit(): default('imfit') return imfit(imagename=convolved_model, estimates=estimates_convolved) |
got = clist['component0']['shape']['majoraxis']['value'] | got = shape['majoraxis']['value'] | def run_imfit(): default('imfit') return imfit(imagename=convolved_model, estimates=estimates_convolved) |
got = clist['component0']['shape']['minoraxis']['value'] | got = shape['minoraxis']['value'] | def run_imfit(): default('imfit') return imfit(imagename=convolved_model, estimates=estimates_convolved) |
got = clist['component0']['shape']['positionangle']['value'] | got = shape['positionangle']['value'] | def run_imfit(): default('imfit') return imfit(imagename=convolved_model, estimates=estimates_convolved) |
self.assertTrue(success,msgs) | self.assertTrue(success,msgs) def test_position_errors(self): '''Imfit: Test position errors''' success = True test = 'test_position_errors: ' global msgs def run_fitcomponents(): myia = iatool.create() myia.open(convolved_model) res = myia.fitcomponents() myia.done() return res def run_imfit(): default('imfit') re... | def run_imfit(): default('imfit') return imfit(imagename=convolved_model, estimates=estimates_convolved) |
passed = False | success = False | def run_imfit(append=None): default('imfit') if (append == None): return imfit(imagename=two_gaussians_image, estimates=two_gaussians_estimates, logfile=logfile) else: return imfit( imagename=two_gaussians_image, estimates=two_gaussians_estimates, logfile=logfile, append=append ) |
return {'success' : passed, 'error_msgs' : msgs} | return {'success' : success, 'error_msgs' : msgs} | def run_imfit(append=None): default('imfit') if (append == None): return imfit(imagename=two_gaussians_image, estimates=two_gaussians_estimates, logfile=logfile) else: return imfit( imagename=two_gaussians_image, estimates=two_gaussians_estimates, logfile=logfile, append=append ) |
passed = False | success = False | def run_imfit(): default('imfit') return imfit( imagename=two_gaussians_image, estimates=two_gaussians_estimates, newestimates=newestimates ) |
return {'success' : passed, 'error_msgs' : msgs} | return {'success' : success, 'error_msgs' : msgs} | def run_imfit(): default('imfit') return imfit( imagename=two_gaussians_image, estimates=two_gaussians_estimates, newestimates=newestimates ) |
"""Create a multiMS" | def create(mms_name, sub_mss): | |
msg('Reading direction information from the file, %s' % filename) return util.read_pointings(filename) | self.msg('Reading direction information from the file, %s' % filename) return self.read_pointings(filename) | def calc_pointings(self, spacing, imsize, direction=None, relmargin=0.33): """ If direction is a list, simply returns direction and the number of pointings in it. Otherwise, returns a hexagonally packed list of pointings separated by spacing and fitting inside an area specified by direction and imsize, as well as the ... |
if(len(mask) and len(mask[0])): | if(type(mask)==type([]) and len(mask)): | def clean(vis, imagename,outlierfile, field, spw, selectdata, timerange, uvrange, antenna, scan, mode, gridmode, wprojplanes, facets, cfcache, painc, epjtable, interpolation, niter, gain, threshold, psfmode, imagermode, ftmachine, mosweight, scaletype, multiscale, negcomponent, smallscalebias, interactive, mask, nchan,... |
epsilon = 0 if (sysbits == 32): epsilon = 3e-7 | epsilon = 3e-7 | def test_CAS2120(self): '''immath: verification of old functionality and similar new functionality introduced by CAS-2120''' |
cas1452_1_im | cas1452_1_im, cas1830_im | def data(): # ATST3/Orion/orion_gbt.im 300x300x1x1 # ATST3/Orion/orion_vlamem.im 300x300x1x1 # # ATSTS3/NGC4826/n4826_bima.im 256x256x1x30 # ATSTS3/NGC4826/n4826_12mmom0.im 32x32x1x1 # ATSTS3/NGC4826/n4826_mom0.im 256x... |
return [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] | return [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] | def doCopy(): return [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] |
if mode=='manualflag': | if mode=='shadow': if param_i.__len__()>0: fg.setshadowflags(**param_i) else: fg.setshadowflags() else: | def manualflag_cmd(flagbackup, command): if debug: print command #List of valid params by mode kmodes = {} uparams = ['reason','flagtime'] # currently not used sparams = ['antenna','timerange','correlation','scan','feed','array','uvrange','spw','field'] aparams = sparams kmodes['manualflag'] = aparams + ['unflag'] kmo... |
elif mode=='shadow': if param_i.__len__()>0: fg.setshadowflags(**param_i) else: fg.setshadowflags() | def manualflag_cmd(flagbackup, command): if debug: print command #List of valid params by mode kmodes = {} uparams = ['reason','flagtime'] # currently not used sparams = ['antenna','timerange','correlation','scan','feed','array','uvrange','spw','field'] aparams = sparams kmodes['manualflag'] = aparams + ['unflag'] kmo... | |
cross_pol=None, | def simdata( project=None, | |
cu.removetable(noisymsfile) os.system("cp -r "+msfile+" "+noisymsfile) sm.openfromms(noisymsfile); sm.setdata(); | shutil.rmtree(noisymsfile) shutil.copytree(msfile,noisymsfile) if sm.name()!='': msg("table persistence error on %s" % sm.name(),priority="error") return sm.openfromms(noisymsfile) sm.setdata() | def simdata( project=None, |
shutil.rmtree(image+".image") shutil.rmtree(image+".model") | if os.path.exists(image+".image"): shutil.rmtree(image+".image") if os.path.exists(image+".model"): shutil.rmtree(image+".model") | def simdata( project=None, |
debug=True | def setChannelization(self,mode,spw,field,nchan,start,width,frame,veltype,restf): """ determine appropriate values for channelization parameters when default values are used for mode='velocity' or 'frequency' or 'channel' """ debug=True | |
fstart = chanfreqs0[locstart] | if mode=="velocity" and locstart==0: fstart = chanfreqs1d[-1] else: fstart = chanfreqs0[locstart] | def setChannelization(self,mode,spw,field,nchan,start,width,frame,veltype,restf): """ determine appropriate values for channelization parameters when default values are used for mode='velocity' or 'frequency' or 'channel' """ debug=True |
if x is not None and y is not None and event.inaxes and a.get_navigate(): | if x is not None and y is not None and event.inaxes==a and a.get_navigate(): | def press_markregion(self, event): 'the press mouse button in mark region mode callback' if (rcParams['backend'].lower() == 'agg'): return if event.button == 1: self.toolbar._button_pressed=1 elif event.button == 3: self.toolbar._button_pressed=3 else: self.toolbar._button_pressed=None return |
if x is not None and y is not None and event.inaxes and a.get_navigate(): | if x is not None and y is not None and event.inaxes==a and a.get_navigate(): | def press_zoom(self, event): 'the press mouse button in zoom to rect mode callback' if (rcParams['backend'].lower() == 'agg'): return if event.button == 1: self.toolbar._button_pressed=1 elif event.button == 3: self.toolbar._button_pressed=3 else: self.toolbar._button_pressed=None return |
if x is not None and y is not None and event.inaxes and a.get_navigate(): | if x is not None and y is not None and event.inaxes==a and a.get_navigate(): | def press_pan(self, event): 'the press mouse button in pan/zoom mode callback' if (rcParams['backend'].lower() == 'agg'): return |
flagmanager(vis=self.vis, mode='rename', oldname='manualflag_2', versionname='Ha! The best version ever!', comment='This is a *much* better name') | flagmanager(vis=self.vis, mode='rename', oldname='unflag_2', versionname='Ha! The best version ever!', comment='This is a *much* better name') | def test1(self): print "Test of flagmanager mode=list, flagbackup=True/False" flagmanager(vis=self.vis, mode='list') fg.open(self.vis) self.assertEqual(len(fg.getflagversionlist()), 3) fg.done() |
flagdata2(vis = self.vis, selectdata=True, antenna="2") | flagdata2(vis = self.vis, selectdata=True, antenna="2", manualflag=True) | def test2(self): """Create, then restore autoflag""" |
flagdata2(vis = self.vis, selectdata=True, antenna="3") | flagdata2(vis = self.vis, selectdata=True, antenna="3", manualflag=True) | def test2(self): """Create, then restore autoflag""" |
flagmanager(vis = self.vis, mode='restore', versionname='manualflag_3') | flagmanager(vis = self.vis, mode='restore', versionname='manualflag_2') | def test2(self): """Create, then restore autoflag""" |
flagdata2(vis=self.vis, selectdata=True,correlation='LL',manualflag=True, mf_correlation='LL') | flagdata2(vis=self.vis, selectdata=True,correlation='LL',manualflag=True) | def test021(self): print "Test of flagging statistics and queries" #It's failing because the first call to flagdata2 doesn't work flagdata2(vis=self.vis, selectdata=True,correlation='LL',manualflag=True, mf_correlation='LL') flagdata2(vis=self.vis, selectdata=True,spw='0',manualflag=True, mf_spw='0:17~19') flagdata2(v... |
flagdata2(vis=self.vis, manualflag=True, mf_correlation='RR', mf_antenna=['2', '3']) | flagdata2(vis=self.vis, selectdata=True, correlation='RR', manualflag=True, mf_antenna=['2', '3']) | def test8(self): print "Test of parallel manualflagging" flagdata2(vis=self.vis, manualflag=True, mf_correlation='RR', mf_antenna=['2', '3']) test_eq(flagdata2(vis=self.vis, summary=True), 2854278, 192654) |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 52416) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 54432) | def test_scan1(self): '''Flagdata: scan='3' manualflag=true''' flagdata2(vis=self.vis, selectdata=True, scan='3', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 52416) # feed not implemented flagdata2(vis=vis, feed='27') # flagdata2(vis=vis, unflag=True) |
test_eq(flagdata2(vis=self.vis, summary=True, antenna='2'), 196434, 196434) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 203994) | def test_antenna(self): '''Flagdata2: antenna=2 manualflag=true''' flagdata2(vis=self.vis, selectdata=True, antenna='2', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, antenna='2'), 196434, 196434) |
test_eq(flagdata2(vis=self.vis, summary=True, antenna='2'), 196434, 196434) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 203994) | def test_spw(self): '''Flagdata2: spw=0 manualflag=true''' flagdata2(vis=self.vis, selectdata=True, spw='0', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, antenna='2'), 196434, 196434) |
flagdata2(vis=self.vis, selectdata=True, correlation='LL', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 98217) | flagdata2(vis=self.vis, selectdata=True, correlation='LL', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 101997) | def test_correlation(self): '''Flagdata2: correlation=LL manualflag=true''' flagdata2(vis=self.vis, selectdata=True, correlation='LL', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 98217) flagdata2(vis=self.vis, selectdata=True, correlation='LL,RR', manualflag=Tru... |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 196434) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 203994) | def test_correlation(self): '''Flagdata2: correlation=LL manualflag=true''' flagdata2(vis=self.vis, selectdata=True, correlation='LL', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 98217) flagdata2(vis=self.vis, selectdata=True, correlation='LL,RR', manualflag=Tru... |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 39186) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 40698) | def test_field(self): '''Flagdata2: field=0 manualflag=true''' flagdata2(vis=self.vis, selectdata=True, field='0', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 39186) |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 55944) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 55944) | def test_uvrange(self): '''Flagdata2: uvrange=200~400m manualflag=true''' flagdata2(vis=self.vis, selectdata=True, uvrange='200~400m', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 55944) |
test_eq(flagdata2(vis=self.vis, summary=True, antenna='2'), 196434, 6552) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 6804) | def test_timerange(self): '''Flagdata2: timerange=09:50:00~10:20:00 manualflag=true''' flagdata2(vis=self.vis, selectdata=True, timerange='09:50:00~10:20:00', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, antenna='2'), 196434, 6552) |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 196434) class test_default(test_base): def setUp(self): self.setUp_ngc5921() def test_default(self): '''Flagdata without any mode''' ret = flagdata2(vis=self.vis) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 203994) | def test_array(self): '''Flagdata2: array=0 manualflag=true''' flagdata2(vis=self.vis, selectdata=True, array='0', manualflag=True) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 196434) |
flagdata(vis=self.vis, scan='3') flagdata(vis=self.vis, scan='3', mode='autoflag', algorithm='timemed', window=3) res1 = flagdata(vis=self.vis, mode='summary') flagdata2(vis=self.vis, unflag=True) flagdata2(vis=self.vis,selectdata=True,scan='3',autoflag=True,algorithm='timemed',window=3) | flagdata(vis=self.vis, selectdata=True, field='0') flagdata(vis=self.vis, mode='autoflag', algorithm='timemed', window=3) res1 = flagdata2(vis=self.vis, summary=True) flagdata2(vis=self.vis, unflag=True) flagdata2(vis=self.vis, autoflag=True,algorithm='timemed',window=3, manualflag=True, mf_field='0') | def test_manual_auto(self): '''Manualflag and autoflag modes''' # It will run flagdata then compare with flagdata2 flagdata(vis=self.vis, scan='3') flagdata(vis=self.vis, scan='3', mode='autoflag', algorithm='timemed', window=3) res1 = flagdata(vis=self.vis, mode='summary') flagdata2(vis=self.vis, unflag=True) flagdat... |
print res1['flagged'] print res2['flagged'] flagdata2(vis=self.vis, selectdata=True, antenna="2,3,5,6", scan="4", manualflag=True) s = flagdata2(vis=self.vis, summary=True) for a in ["2", "3", "5", "6"]: self.assertEqual(s['antenna'][a]['flagged'], 6552) for a in ["1", "4", "7", "8", "9", "10", "24"]: self.assertEqua... | self.assertEqual(res1['flagged'], res2['flagged']) def test_unflag_summary(self): '''Flagdata2: unflag and summary modes''' | def test_manual_auto(self): '''Manualflag and autoflag modes''' # It will run flagdata then compare with flagdata2 flagdata(vis=self.vis, scan='3') flagdata(vis=self.vis, scan='3', mode='autoflag', algorithm='timemed', window=3) res1 = flagdata(vis=self.vis, mode='summary') flagdata2(vis=self.vis, unflag=True) flagdat... |
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