rem stringlengths 0 322k | add stringlengths 0 2.05M | context stringlengths 8 228k |
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retValue['error_msgs']=retValue['error_msgs']\ +'\nError: Expected value of -4.273192e-09, and mask=True',\ +'\n\t'+msg | retValue['error_msgs'] = retValue['error_msgs'] + "\nError: Expected value of -4.273192e-09, and mask=True" + "\n\t" + msg | def test_single_point(self): '''Imval: Single point tests''' retValue = {'success': True, 'msgs': "", 'error_msgs': '' } note( "Starting SINGLE POINT tests.", 'NORMAL2' ) # Find the min/max points of the image. bbox={} try: ia.open( image_file ) bbox=ia.boundingbox() ia.done() except: retValue['success']=False retValu... |
cleanstr=cleanstr+",modelimage="+str(modelimage) | cleanstr=cleanstr+",modelimage='"+str(modelimage)+"'" | def image(self,mstoimage,image, cleanmode,cell,imsize,imcenter,niter,threshold,weighting, outertaper,stokes,sourcefieldlist="",modelimage="",mask=[]): from clean import clean |
uvtaper=uvtaper,outertaper=outertaper, pbcor=True, mask=mask) | uvtaper=uvtaper,outertaper=outertaper, pbcor=True, mask=mask, modelimage=modelimage) | def image(self,mstoimage,image, cleanmode,cell,imsize,imcenter,niter,threshold,weighting, outertaper,stokes,sourcefieldlist="",modelimage="",mask=[]): from clean import clean |
['UVW', 638, [-65.07623467, 1.05534109, -33.65801386], 1E-8], | ['UVW', 638, [-65.14758508, 1.13423277, -33.51712451], 1E-8], | def verify_asdm(asdmname, withPointing): print "Verifying asdm ", asdmname if(not os.path.exists(asdmname)): print "asdm ", asdmname, " doesn't exist." raise Exception # test for the existence of all obligatory tables allTables = [ "Antenna.xml", "ASDM.xml", # "CalData.xml", # "CalDelay.xml", # "CalReduction.xml", "Con... |
casalog.post( str('*** Error ***'+str(instance), 'SEVERE' )) | casalog.post( '*** Error ***'+str(instance), 'SEVERE' ) | def imstat(imagename=None,region=None,box=None,chans=None,stokes=None): #Python script # retValue = {} try: casalog.origin('imstat') ia.open(imagename) # If the user hasn't specified any region information then # generate statistical information for the entire image. if ( len(box)<1 and len(chans)<1 and len(stokes)<1... |
im.weight(type=self.weight, rmode='norm', npixels=self.weightnpix, robust=self.robust) | 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 #j=start #end=start+numchan-1 #spwstring=str(spw)+':'+str(start)+'~'+str(end) #print 'spwstring', spwstring msname=origname if(not self.imageparamset):... | |
os.system('cp -R '+os.environ['CASAPATH'].split()[0]+'/data/regression/cvel/input/evla-highres-sample.ms .') | os.system('cp -R '+os.environ['CASAPATH'].split()[0]+'/data/regression/cvel/input/evla-highres-sample-thinned.ms .') | def setUp(self): default('cvel') if(not os.path.exists(vis_a)): importuvfits(fitsfile=os.environ['CASAPATH'].split()[0]+'/data/regression/ngc4826/fitsfiles/ngc4826.ll.fits5', # 10 MB vis=vis_a) if(not os.path.exists(vis_b)): os.system('cp -R '+os.environ['CASAPATH'].split()[0]+'/data/regression/fits-import-export/inpu... |
freqs=tb.getcol('CHAN_FREQ') allfreq=freqs[:, spwids[0]] | allfreq=tb.getcol('CHAN_FREQ', spwids[0],1) | 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, threshold='0.0mJy', alg='clark', scales=[0], weight='natural', contclean=False, visinmem=Fal... |
allfreq=np.append(allfreq, freqs[:,spwids[k]]) | allfreq=np.append(allfreq, tb.getcol('CHAN_FREQ', spwids[k],1)) | 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, threshold='0.0mJy', alg='clark', scales=[0], weight='natural', contclean=False, visinmem=Fal... |
imagetilevol=1000000, | imagetilevol=250000, | 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, ... |
putchanimage(model, imagename+str(k)+'.model', k*chanchunk) putchanimage(imagename+'.residual', imagename+str(k)+'.residual', k*chanchunk) putchanimage(imagename+'.image', imagename+str(k)+'.image', k*chanchunk) | imagecont.putchanimage(model, imagename+str(k)+'.model', k*chanchunk, False) imagecont.putchanimage(imagename+'.residual', imagename+str(k)+'.residual', k*chanchunk, False) imagecont.putchanimage(imagename+'.image', imagename+str(k)+'.image', k*chanchunk, False) | 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, ... |
print 'Time to image is ', (time2-time1)/60.0, 'mins' | print 'Time to image after cleaning is ', (time2-time1)/60.0, 'mins' | 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, ... |
scan=scantable(tmpname,average=False,getpt=True,antenna=int(antid)) outname=prefix+antnames[antid]+'.asap' scan.save(outname,format='ASAP',overwrite=overwrite) | def splitant(filename, outprefix='',overwrite=False): """ Split Measurement set by antenna name, save data as a scantables, and return a list of filename. Notice this method can only be available from CASA. Prameter filename: the name of Measurement set to be read. outprefix: the prefix of output scantable name. t... | |
tb.close() | def splitant(filename, outprefix='',overwrite=False): """ Split Measurement set by antenna name, save data as a scantables, and return a list of filename. Notice this method can only be available from CASA. Prameter filename: the name of Measurement set to be read. outprefix: the prefix of output scantable name. t... | |
pb2 = 2.*1.2*0.3/qa.convert(qa.quantity(model_center),'GHz')['value']/tp_aveant*3600.*180/pl.pi minsize=min(qa.convert(model_size[0],'arcsec')['value'],qa.convert(model_size[1],'arcsec')['value']) if pb==0: pb=0.5*pb2 if minsize < pb2: msg("skymodel should be larger than 2*primary beam. Your skymodel: %.3f arcsec < %.3... | if not components_only: pb2 = 2.*1.2*0.3/qa.convert(qa.quantity(model_center),'GHz')['value']/tp_aveant*3600.*180/pl.pi minsize = min(qa.convert(model_size[0],'arcsec')['value'],\ qa.convert(model_size[1],'arcsec')['value']) if pb == 0: pb = 0.5*pb2 if minsize < pb2: msg("skymodel should be larger than 2*primary beam. ... | 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... |
return False del minsize,pb2 | 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... | |
ra,dec = in_csys.referencevalue(type="direction")['numeric'] model_refdir= in_csys.referencecode(type="direction")+" "+qa.formxxx(str(ra)+"rad",format='hms',prec=5)+" "+qa.formxxx(str(dec)+"rad",format='dms',prec=5) ra=qa.quantity(str(ra)+"rad") dec=qa.quantity(str(dec)+"rad") | def image4d(self, inimage, outimage, inbright,ignorecoord, ra,dec,cell,startfreq,chanwidth, # only used if ignorecoord flatimage=""): # if nonzero, create mom -1 image named this | |
casalog.post('You are using flagcmd v2.5 Updated STM 2010-11-01') | casalog.post('You are using flagcmd v2.6 Updated STM 2010-11-02') | 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... |
intv = xval | intvl = xval | def getflagcmds(cmdlist, ms_startmjds, ms_endmjds): |
flagd['interval']=interval | flagd['interval']=intvl | def getflagcmds(cmdlist, ms_startmjds, ms_endmjds): |
maxabs = None, unflag = None): | maxabs = None): | 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... |
mode = '' | 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... | |
if (not manualflag and not clip and not quack and not shadow and not rfi and not autoflag and not unflag and not summary): msg = 'No flagging mode was selected. Please, set at least one mode to run this task.' casalog.post(msg, 'SEVERE') raise Exception if (unflag and (manualflag or clip or quack or shadow or rfi or... | 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... | |
mode == 'manualflag' | mode = 'manualflag' | 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... |
mode == 'clip' | mode = 'clip' | 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... |
mode == 'quack' | mode = 'quack' | 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... |
mode == 'shadow' | mode = 'shadow' | 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... |
mode == 'autoflag' | mode = 'autoflag' | 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... |
mode == 'rfi' | mode = 'rfi' | 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... |
mode = "clip" | mode = "manualflag" | 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... |
mode == 'summary' | mode = 'summary' | 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... |
print '*** Error ***', instance | 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... | |
def manualflag_quack(mode, selectdata, flagbackup, **params): if debug: print params if not selectdata: params['antenna'] = params['timerange'] = params['correlation'] = params['scan'] = params['feed'] = params['array'] = params['uvrange'] = '' vector_mode = False vector_length = -1 vector_var = '' is_vector_spec = {... | def manual_clip_quack(mode, selectdata, flagbackup, **params): if debug: print params if not selectdata: params['antenna'] = params['timerange'] = params['correlation'] = params['scan'] = params['feed'] = params['array'] = params['uvrange'] = '' vector_mode = False # Are we in vector mode? vector_length = -1 ... | |
'immath6.im', 'immath7.im', 'immath8.im', 'immath9.im','immath10.im', cas1910_im | 'immath6.im', 'immath7.im', 'immath8.im', 'immath9.im','immath10.im', cas1910_im, cas1452_1_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] | return [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] | def doCopy(): #print "\n\nIn IMMATH doCopy()\n\n" return [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] |
if imsize.__len__()==1: imsize=[imsize,imsize] | def simdata( project=None, | |
os.system('cp -r ' +datapath + noisy_image + ' ' +noisy_image) os.system('cp -r ' +datapath + expected_model + ' ' +expected_model) os.system('cp -r ' +datapath + expected_residual + ' ' +expected_residual) os.system('cp -r ' +datapath + convolved_model + ' ' +convolved_model) os.system('cp -r ' +datapath + estimates_c... | for f in [ noisy_image, expected_model, expected_residual, convolved_model, estimates_convolved, two_gaussians_image, two_gaussians_estimates, expected_new_estimates, stokes_image, gauss_no_pol, jyperbeamkms, masked_image ] : os.system('cp -r ' + datapath + f + ' ' + f) | def setUp(self): datapath=os.environ.get('CASAPATH').split()[0]+'/data/regression/imfit/' os.system('cp -r ' +datapath + noisy_image + ' ' +noisy_image) os.system('cp -r ' +datapath + expected_model + ' ' +expected_model) os.system('cp -r ' +datapath + expected_residual + ' ' +expected_residual) os.system('cp -r ' +dat... |
os.system('rm -rf ' + noisy_image) os.system('rm -rf ' + expected_model) os.system('rm -rf ' + expected_residual) os.system('rm -rf ' + convolved_model) os.system('rm -rf ' + estimates_convolved) os.system('rm -rf ' + two_gaussians_image) os.system('rm -rf ' + two_gaussians_estimates) os.system('rm -rf ' + expected_new... | for f in [ noisy_image, expected_model, expected_residual, convolved_model, estimates_convolved, two_gaussians_image, two_gaussians_estimates, expected_new_estimates, stokes_image, gauss_no_pol, jyperbeamkms, masked_image ] : os.system('rm -rf ' + f) | def tearDown(self): os.system('rm -rf ' + noisy_image) os.system('rm -rf ' + expected_model) os.system('rm -rf ' + expected_residual) os.system('rm -rf ' + convolved_model) os.system('rm -rf ' + estimates_convolved) os.system('rm -rf ' + two_gaussians_image) os.system('rm -rf ' + two_gaussians_estimates) os.system('rm ... |
for i in range(3): | for i in range(4): | def test_fit_using_range(self): '''Imfit: Fit using range''' success = True global msgs for i in range(3): test = 'fit_using_range, loop #' + str(i) + ': ' # the ranges and mask defined all define the same pixels to be used # so that the results are the same for each loop (which makes the # code more compact) # i = 0: ... |
myia.open(noisy_image) | myia.open(masked_image) myia.maskhandler("set", pixelmask) | def run_fitcomponents(): myia = iatool.create() myia.open(noisy_image) res = myia.fitcomponents(mask=mask, includepix=includepix, excludepix=excludepix) myia.close() return res |
return imfit(imagename=noisy_image, mask=mask, includepix=includepix, excludepix=excludepix) | return imfit(imagename=masked_image, mask=mask, includepix=includepix, excludepix=excludepix) | def run_imfit(): default('imfit') return imfit(imagename=noisy_image, mask=mask, includepix=includepix, excludepix=excludepix) |
msgs += method + "I flux density test failure, got " + str(got) \ | msgs += test + "I flux density test failure, got " + str(got) \ | def run_imfit(): default('imfit') return imfit(imagename=noisy_image, mask=mask, includepix=includepix, excludepix=excludepix) |
msgs += method + "Q flux density test failure, got " + str(got) \ | msgs += test + "Q flux density test failure, got " + str(got) \ | def run_imfit(): default('imfit') return imfit(imagename=noisy_image, mask=mask, includepix=includepix, excludepix=excludepix) |
msgs += method + "RA test failure, got " + str(got) + " expected " + str(expected) + "\n" | msgs += test + "RA test failure, got " + str(got) + " expected " + str(expected) + "\n" | def run_imfit(): default('imfit') return imfit(imagename=noisy_image, mask=mask, includepix=includepix, excludepix=excludepix) |
msgs += method + "Dec test failure, got " + str(got) + " expected " + str(expected) + "\n" | msgs += test + "Dec test failure, got " + str(got) + " expected " + str(expected) + "\n" | def run_imfit(): default('imfit') return imfit(imagename=noisy_image, mask=mask, includepix=includepix, excludepix=excludepix) |
msgs += method + "Major axis test failure, got " + str(got) + " expected " + str(expected) + "\n" | msgs += test + "Major axis test failure, got " + str(got) + " expected " + str(expected) + "\n" | def run_imfit(): default('imfit') return imfit(imagename=noisy_image, mask=mask, includepix=includepix, excludepix=excludepix) |
msgs += method + "Minor axis test failure, got " + str(got) + " expected " + str(expected) + "\n" | msgs += test + "Minor axis test failure, got " + str(got) + " expected " + str(expected) + "\n" | def run_imfit(): default('imfit') return imfit(imagename=noisy_image, mask=mask, includepix=includepix, excludepix=excludepix) |
msgs += method + "Position angle test failure, got " + str(got) + \ | msgs += test + "Position angle test failure, got " + str(got) + \ | def run_imfit(): default('imfit') return imfit(imagename=noisy_image, mask=mask, includepix=includepix, excludepix=excludepix) |
os.system('cp -r ' +datapath+noisy_image +' '+noisy_image) os.system('cp -r ' +datapath+expected_model +' '+expected_model) os.system('cp -r ' +datapath+expected_residual +' '+expected_residual) os.system('cp -r ' +datapath+convolved_model +' '+convolved_model) os.system('cp -r ' +datapath+estimates_convolved +' '+esti... | os.system('cp -r ' +datapath + noisy_image + ' ' +noisy_image) os.system('cp -r ' +datapath + expected_model + ' ' +expected_model) os.system('cp -r ' +datapath + expected_residual + ' ' +expected_residual) os.system('cp -r ' +datapath + convolved_model + ' ' +convolved_model) os.system('cp -r ' +datapath + estimates_c... | def setUp(self): datapath=os.environ.get('CASAPATH').split()[0]+'/data/regression/imfit/' os.system('cp -r ' +datapath+noisy_image +' '+noisy_image) os.system('cp -r ' +datapath+expected_model +' '+expected_model) os.system('cp -r ' +datapath+expected_residual +' '+expected_residual) os.system('cp -r ' +datapath+convol... |
ia.open(convolved_model) return ia.fitcomponents(estimates=estimates_convolved) | myia = iatool.create() myia.open(convolved_model) res = myia.fitcomponents(estimates=estimates_convolved) myia.done() return res | def run_fitcomponents(): ia.open(convolved_model) return ia.fitcomponents(estimates=estimates_convolved) |
ia.open(two_gaussians_image) | myia = iatool.create() myia.open(two_gaussians_image) | def run_fitcomponents(append=None): ia.open(two_gaussians_image) if (append == None): return ia.fitcomponents(estimates=two_gaussians_estimates, logfile=logfile) else: return ia.fitcomponents(estimates=two_gaussians_estimates, logfile=logfile, append=append) |
return ia.fitcomponents(estimates=two_gaussians_estimates, logfile=logfile) | res = myia.fitcomponents(estimates=two_gaussians_estimates, logfile=logfile) | def run_fitcomponents(append=None): ia.open(two_gaussians_image) if (append == None): return ia.fitcomponents(estimates=two_gaussians_estimates, logfile=logfile) else: return ia.fitcomponents(estimates=two_gaussians_estimates, logfile=logfile, append=append) |
return ia.fitcomponents(estimates=two_gaussians_estimates, logfile=logfile, append=append) | res = myia.fitcomponents(estimates=two_gaussians_estimates, logfile=logfile, append=append) myia.done() return res | def run_fitcomponents(append=None): ia.open(two_gaussians_image) if (append == None): return ia.fitcomponents(estimates=two_gaussians_estimates, logfile=logfile) else: return ia.fitcomponents(estimates=two_gaussians_estimates, logfile=logfile, append=append) |
ia.open(stokes_image) return ia.fitcomponents(stokes=stokes) | myia = iatool.create() myia.open(stokes_image) res = myia.fitcomponents(stokes=stokes) return res | def run_fitcomponents(stokes): ia.open(stokes_image) return ia.fitcomponents(stokes=stokes) |
attr.rfind('test') != -1 : | attr[:len("test")] == "test" : \ | def getUnitTest(self,list=[]): """Set up a unit test script to run wit nose""" print '-------------- Unit Test for %s ---------------'%self.testname if list: print 'List of specific tests %s'%(list) # search for script in repository testscript = self.searchscript(self.testname, self.scriptdir) |
assert "9&&9" in baselines | assert "9&&9" not in baselines | def test_simple(self): baselines = flagdata2(vis = self.vis, selectdata=True, antenna="9", summary=True )['baseline'].keys() |
assert "10&&10" in baselines | assert "10&&10" not in baselines | def test_simple(self): baselines = flagdata2(vis = self.vis, selectdata=True, antenna="9", summary=True )['baseline'].keys() |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 54432) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 52416) | 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'), 203994, 54432) # feed not implemented flagdata2(vis=vis, feed='27') # flagdata2(vis=vis, unflag=True) |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 203994) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 196434) | 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, selectdata=True, antenna='2'), 203994, 203994) |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 203994) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 196434) | 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, selectdata=True, antenna='2'), 203994, 203994) |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 101997) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 98217) | 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'), 203994, 101997) flagdata2(vis=self.vis, selectdata=True, correlation='LL,RR', manualflag=T... |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 203994) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 196434) | 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'), 203994, 101997) flagdata2(vis=self.vis, selectdata=True, correlation='LL,RR', manualflag=T... |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 40698) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 39186) | 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'), 203994, 40698) |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 55944) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 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'), 203994, 55944) |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 6804) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 6552) | 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, selectdata=True, antenna='2'), 203994, 6804) |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 203994, 203994) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='2'), 196434, 196434) | 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'), 203994, 203994) |
test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='5'), 203994, 196434) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='9'), 203994, 45360) | test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='5'), 196434, 196434) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='9'), 196434, 45360) | def test_mfantenna(self): flagdata2(vis=self.vis, manualflag=True, mf_antenna='3~8') test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='5'), 203994, 196434) test_eq(flagdata2(vis=self.vis, summary=True, selectdata=True, antenna='9'), 203994, 45360) # compare with original flagdata flagdata2(vis=se... |
for k in range(len(msnames)): imlist=self.msinfo[msnames[k]]['imname'] shutil.rmtree(imlist+'.model', True) shutil.rmtree(imlist+'.residual', True) shutil.rmtree(imlist+'.image', True) shutil.rmtree(imlist+'.psf', True) | def gen_comm(msname, startsel, nchansel, field, spw, freq, band, imname): spwsel=str(self.msinfo[msname]['spwids'].tolist()) freqsel='"%fHz"'%freq bandsel='"%fHz"'%band return 'a.imagecont(msname='+'"'+msname+'", start='+str(startsel)+', numchan='+str(nchansel)+', field="'+str(field)+'", spw='+spwsel+', freq='+freqsel+... | |
'body': {'pat': r'^Target body name:\s+\d*\s*(\w+)'}, | 'NAME': {'pat': r'^Target body name:\s+\d*\s*(\w+)'}, | def readJPLephem(fmfile): """ Reads a JPL Horizons text file (see http://ssd.jpl.nasa.gov/horizons.cgi#top ) for a solar system object and returns various quantities in a dictionary. The dict will be blank ({}) if there is a failure. """ retdict = {} casalog.origin('readJPLephem') # Try opening fmfile now, because ot... |
elif re.match(r'^\s*' + cols['date']['header'] + r'\s+' | elif re.match(r'^\s*' + cols['MJD']['header'] + r'\s+' | def readJPLephem(fmfile): """ Reads a JPL Horizons text file (see http://ssd.jpl.nasa.gov/horizons.cgi#top ) for a solar system object and returns various quantities in a dictionary. The dict will be blank ({}) if there is a failure. """ retdict = {} casalog.origin('readJPLephem') # Try opening fmfile now, because ot... |
print "Found columns:", ', '.join(havecols) | casalog.post("Found columns: " + ', '.join(havecols)) | def readJPLephem(fmfile): """ Reads a JPL Horizons text file (see http://ssd.jpl.nasa.gov/horizons.cgi#top ) for a solar system object and returns various quantities in a dictionary. The dict will be blank ({}) if there is a failure. """ retdict = {} casalog.origin('readJPLephem') # Try opening fmfile now, because ot... |
casalog.post("Starting to read data.", priority='INFO2') | def readJPLephem(fmfile): """ Reads a JPL Horizons text file (see http://ssd.jpl.nasa.gov/horizons.cgi#top ) for a solar system object and returns various quantities in a dictionary. The dict will be blank ({}) if there is a failure. """ retdict = {} casalog.origin('readJPLephem') # Try opening fmfile now, because ot... | |
retdict['earliest'] = datestr_to_epoch(retdict['data']['date']['data'][0]) retdict['latest'] = datestr_to_epoch(retdict['data']['date']['data'][-1]) | retdict['earliest'] = datestr_to_epoch(retdict['data']['MJD']['data'][0]) retdict['latest'] = datestr_to_epoch(retdict['data']['MJD']['data'][-1]) | def readJPLephem(fmfile): """ Reads a JPL Horizons text file (see http://ssd.jpl.nasa.gov/horizons.cgi#top ) for a solar system object and returns various quantities in a dictionary. The dict will be blank ({}) if there is a failure. """ retdict = {} casalog.origin('readJPLephem') # Try opening fmfile now, because ot... |
if retdict['data'].has_key('date'): if retdict['data']['date'].has_key('data'): | if retdict['data'].has_key('MJD'): if retdict['data']['MJD'].has_key('data'): | def readJPLephem(fmfile): """ Reads a JPL Horizons text file (see http://ssd.jpl.nasa.gov/horizons.cgi#top ) for a solar system object and returns various quantities in a dictionary. The dict will be blank ({}) if there is a failure. """ retdict = {} casalog.origin('readJPLephem') # Try opening fmfile now, because ot... |
print "retdict['data']['date'] has no 'data' key." print "retdict['data']['date'].keys() =", retdict['data']['date'].keys() | print "retdict['data']['MJD'] has no 'data' key." print "retdict['data']['MJD'].keys() =", retdict['data']['MJD'].keys() | def readJPLephem(fmfile): """ Reads a JPL Horizons text file (see http://ssd.jpl.nasa.gov/horizons.cgi#top ) for a solar system object and returns various quantities in a dictionary. The dict will be blank ({}) if there is a failure. """ retdict = {} casalog.origin('readJPLephem') # Try opening fmfile now, because ot... |
print "retdict['data'] has no 'date' key." | print "retdict['data'] has no 'MJD' key." | def readJPLephem(fmfile): """ Reads a JPL Horizons text file (see http://ssd.jpl.nasa.gov/horizons.cgi#top ) for a solar system object and returns various quantities in a dictionary. The dict will be blank ({}) if there is a failure. """ retdict = {} casalog.origin('readJPLephem') # Try opening fmfile now, because ot... |
if headers[hk].has_key('unit') and retdict.has_key(hk): if hk == 'radii': radii = retdict[hk].split('x') a, b, c = [float(r) for r in radii] retdict[hk] = {'unit': headers[hk]['unit'], 'value': (a, b, c)} retdict['meanrad'] = {'unit': headers[hk]['unit'], 'value': mean_radius(a, b, c)} else: try: if type(retdict[hk]) ... | if retdict.has_key(hk): if headers[hk].has_key('unit'): if hk == 'radii': radii = retdict[hk].split('x') a, b, c = [float(r) for r in radii] retdict[hk] = {'unit': headers[hk]['unit'], 'value': (a, b, c)} retdict['meanrad'] = {'unit': headers[hk]['unit'], 'value': mean_radius(a, b, c)} else: try: if type(retdict[hk]) ... | def readJPLephem(fmfile): """ Reads a JPL Horizons text file (see http://ssd.jpl.nasa.gov/horizons.cgi#top ) for a solar system object and returns various quantities in a dictionary. The dict will be blank ({}) if there is a failure. """ retdict = {} casalog.origin('readJPLephem') # Try opening fmfile now, because ot... |
'value': numpy.array([float(s) for s in retdict['data'][dk]['data']])} | 'value': numpy.array([float(s) for s in retdict['data'][dk]['data']])} if dk in ['ra', 'dec']: retdict['data'][dk] = convert_radec(retdict['data'][dk]) retdict['data']['MJD'] = datestrs_to_MJDs(retdict['data']['MJD']) retdict['VS_TYPE'] = 'Table of comet/planetary positions' retdict['VS_VERSION'] = '0003.0001' if ret... | def readJPLephem(fmfile): """ Reads a JPL Horizons text file (see http://ssd.jpl.nasa.gov/horizons.cgi#top ) for a solar system object and returns various quantities in a dictionary. The dict will be blank ({}) if there is a failure. """ retdict = {} casalog.origin('readJPLephem') # Try opening fmfile now, because ot... |
def datestrs_to_epochs(datestrlist): """ Like datestr_to_epoch, but more so. All of the date strings must have the same reference frame (i.e. UT). """ | def datestrs_to_MJDs(cdsdict): """ All of the date strings must have the same reference frame (i.e. UT). """ datestrlist = cdsdict['data'] datestrlist = [d.replace(' ', 'T') for d in datestrlist] | def datestrs_to_epochs(datestrlist): """ Like datestr_to_epoch, but more so. All of the date strings must have the same reference frame (i.e. UT). """ timeq = {} # Do first conversion to get unit. firsttime = qa.totime(datestrlist[0]) timeq['unit'] = firsttime['unit'] timeq['value'] = [firsttime['value']] for i in xra... |
for i in xrange(1, len(datestrlist)): timeq['value'].append(qa.totime(datestrlist[i])['value']) return {'m0': {'unit': timeq['unit'], 'value': numpy.array(timeq['value'])}, 'refer': 'UTC', 'type': 'epoch'} | for datestr in datestrlist[1:]: timeq['value'].append(qa.totime(datestr)['value']) return {'unit': timeq['unit'], 'value': numpy.array(timeq['value'])} | def datestrs_to_epochs(datestrlist): """ Like datestr_to_epoch, but more so. All of the date strings must have the same reference frame (i.e. UT). """ timeq = {} # Do first conversion to get unit. firsttime = qa.totime(datestrlist[0]) timeq['unit'] = firsttime['unit'] timeq['value'] = [firsttime['value']] for i in xra... |
if whichtests == 0: listtests = [] if whichtests == 1: listtests = testnames if whichtests == 2: | listtests = testnames if listtests == []: whichtests = 0 elif (listtests == SHORT_LIST or listtests == ['--short'] or listtests == ['SHORT_LIST']): whichtests = 2 | def main(testnames=[]): if whichtests == 0: listtests = [] if whichtests == 1: listtests = testnames if whichtests == 2: listtests = SHORT_LIST |
else: whichtests = 1 | def main(testnames=[]): if whichtests == 0: listtests = [] if whichtests == 1: listtests = testnames if whichtests == 2: listtests = SHORT_LIST | |
if image or analyze: if components_only: newmodel=project+".compskymodel" if not os.path.exists(project+".image"): msg("must image before analyzing",priority="error") return False ia.imagecalc(pixels="'"+project+".image' * 0",outfile=newmodel,overwrite=True) ia.open(newmodel) cl.open(complist) ia.setbrightnessunit("Jy/... | 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... | |
ia.calc(pixels='iif('+outputmask.replace('/','\/')+'>0.01, 1, 0)') | ia.calc(pixels="iif(__temp_mask>0.01, 1, 0)") | def makemaskimage(self, outputmask='', imagename='', maskobject=[], slice=-1): """ This function is an attempt to convert all the kind of 'masks' that people want to throw at it and convert it to a mask image to be used by imager...For now 'masks' include a)set of previous mask images b)lists of blc trc's c)record out... |
if isinstance(clipmaxmin, list): if (len(clipmaxmin) == 2): dthres = min(clipmaxmin) uthres = max(clipmaxmin) | if isinstance(clipminmax, list): if (len(clipminmax) == 2): dthres = min(clipminmax) uthres = max(clipminmax) | 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 nr < 3: nrow=1 ncol=nr elif nr < 5: nrow=2 ncol=2 elif nr < 7: nrow=2 ncol=3 elif nr < 10: nrow=3 ncol=3 else: nrow=4 ncol=4 casalog.post( "nrow,ncol= %d,%d" % (nrow, ncol) ) if nr >16: casalog.post( "Only first 16 spectra is plotted.", priority = 'WARN' ) | 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... | |
retValue['error_msgs']=retValue['error_msgs']+'Cannot open MS table '+tablename | retValue['error_msgs']=retValue['error_msgs']+'Cannot open MS table '+msname | def test3(self): '''Asdm-import 3: Good input''' retValue = {'success': True, 'msgs': "", 'error_msgs': '' } try: self.res = importoldasdm(myasdm_dataset_name) except: retValue['success']=False retValue['error_msgs']=retValue['error_msgs']+'Failed to run on good input.' |
if showpsf and (tp_only or util.ismstp(msfile)): | if showpsf and (tp_only or util.ismstp(msfile,halt=False)): | 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... |
if(self.novaliddata): | if(not self.novaliddata): | 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... |
c.pgc('from parallel_cont import *') | c.pgc('from parallel.parallel_cont import *') | 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', contclean=False): """ msname= measurementset imagename = image imsize = list o... |
c.stop_cluster() | 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', contclean=False): """ msname= measurementset imagename = image imsize = list o... | |
msg("your model is large - predicting visibilities may take a while.",priority="warn") | self.msg("your model is large - predicting visibilities may take a while.",priority="warn") | def image4d(self, inimage, outimage, inbright,ignorecoord, ra,dec,cell,startfreq,chanwidth, # only used if ignorecoord flatimage=""): # if nonzero, create mom -1 image named this |
msg("your model is large - predicting visibilities may take a while.",priority="warn") | self.msg("your model is large - predicting visibilities may take a while.",priority="warn") | def modifymodel(self, inimage, outimage, modifymodel,inbright, direction,incell,incenter,inwidth,innchan, flatimage=False): # if nonzero, create mom -1 image |
for dir in [self.moment, self.s150, self.s15, self.s0_015, self.s0_0015, self.s0_00015]: if (os.path.exists(dir)): | for dir in [ self.moment, self.s150, self.s15, self.s0_015, self.s0_0015, self.s0_00015, self.linear_coords ]: if os.path.isfile(dir): os.remove(dir) elif (os.path.exists(dir)): | def tearDown(self): for dir in [self.moment, self.s150, self.s15, self.s0_015, self.s0_0015, self.s0_00015]: if (os.path.exists(dir)): shutil.rmtree(dir) |
def test008(self): """ Test 8: verify fix for CAS-2195""" def test_statistics(image): ia.open(myim) stats = ia.statistics() ia.done() return stats def test_imstat(image): return imstat(image) myim = self.linear_coords shutil.copy(self.datapath + myim, myim) expected_max = [3, 10] expected_min = [4, 0] for code in [te... | def test007(self): """ Test 7: test that box parameter can have spaces, CAS-2050 """ shutil.copytree(self.datapath+self.s0_00015, self.s0_00015) box = '0, 0, 1 , 1' stats = imstat(imagename=self.s0_00015, box=box) self.assertTrue(stats['npts'] == 4) | |
beams = [] if((restoringbeam == ['']) or (len(restoringbeam) ==0)): return [] resbmaj='' resbmin='' resbpa='0deg' if((type(restoringbeam) == list) and len(restoringbeam)==1): restoringbeam=restoringbeam[0] if((type(restoringbeam)==str)): if(qa.quantity(restoringbeam)['unit'] == ''): restoringbeam=restoringbeam+'arcse... | beams = [] if((restoringbeam == ['']) or (len(restoringbeam) ==0)): return [] resbmaj='' resbmin='' resbpa='0deg' if((type(restoringbeam) == list) and len(restoringbeam)==1): print 'HERE0' resbmaj = restoringbeam[0] resbmin = restoringbeam[0] if((type(restoringbeam)==str)): if(qa.quantity(restoringbeam)['unit'] == '... | def getbeams(restoringbeam): beams = [] if((restoringbeam == ['']) or (len(restoringbeam) ==0)): return [] resbmaj='' resbmin='' resbpa='0deg' if((type(restoringbeam) == list) and len(restoringbeam)==1): restoringbeam=restoringbeam[0] if((type(restoringbeam)==str)): if(qa.quantity(restoringbeam)['unit'] == ''): resto... |
if((resbmaj != '') and (resbmin != '')): im.setbeam(resbmaj, resbmin, resbpa) | if((resbmaj != '') and (resbmin != '')): | def getbeams(restoringbeam): beams = [] if((restoringbeam == ['']) or (len(restoringbeam) ==0)): return [] resbmaj='' resbmin='' resbpa='0deg' if((type(restoringbeam) == list) and len(restoringbeam)==1): restoringbeam=restoringbeam[0] if((type(restoringbeam)==str)): if(qa.quantity(restoringbeam)['unit'] == ''): resto... |
beams = [resbmaj,resbmin, resbpa] return beams | def getbeams(restoringbeam): beams = [] if((restoringbeam == ['']) or (len(restoringbeam) ==0)): return [] resbmaj='' resbmin='' resbpa='0deg' if((type(restoringbeam) == list) and len(restoringbeam)==1): restoringbeam=restoringbeam[0] if((type(restoringbeam)==str)): if(qa.quantity(restoringbeam)['unit'] == ''): resto... | |
interactive -- True expandable parameters - Not yet implemented!!! npercycle -- this is the number of iterations between each interactive update of the mask. It is important to modify this number interactively during the cleaning, starting with a low number like 20, but then increasing as more extended emission is en... | interactive -- Create a mask interactively or not. default=False; example: interactive=True | 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=... |
cellx=qa.quantity(cell[0], 'arcsec') celly=qa.quantity(cell[1], 'arcsec') | cellx=qa.quantity(cell[0], 'arcsec') celly=qa.quantity(cell[1], 'arcsec') if restoringbeam == '': bmaj = '' bmin = '' bpa = '' else: if (type(restoringbeam)==str): restoringbeam=[restoringbeam,restoringbeam,'0deg'] if (type(restoringbeam)==list and (len(restoringbeam)==1)): restoringbeam=[restoringbeam[0],restoringbe... | 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=... |
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