def run():
lepath=locatescript('leo2pt_regression.py')
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
return []
def run(fetch=False):
#####locate the regression script
lepath=locatescript('testcompsim.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return ['cltest/cltest.alma.cycle0.extended.ms','cltest/cltest.alma.cycle0.extended.image','cltest/cltest.alma.cycle0.extended.diff']
def run(fetch=False):
#####locate the regression script
lepath = locatescript("imagetest_regression.py")
print "Script used is ", lepath
gl["regstate"] = True
execfile(lepath, gl)
print "regstate =", gl["regstate"]
if not gl["regstate"]:
raise Exception, "regstate = False"
return []
def run():
#####locate the regression script
try:
lepath=locatescript('cvel_regression2.py')
print 'Script used is ',lepath
execfile(lepath, gl, pass_on)
except:
print 'execution failed: ', sys.exc_info()
raise
###return the images that will be templated and compared in future runs
return []
def run(fetch=False):
lepath = locatescript('ngc5921_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return ['ngc5921_regression/ngc5921.clean.image']
def run(fetch=False):
lepath=locatescript('l02d_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return ['l2.3mmcont.image', 'l2.1mm.image', 'l02d.3mmcont.image', 'l02d.1mmcont.image', 'l02d.c34s.image', 'l02d.ch3oh.image' ]
def run(fetch=False):
lepath=locatescript('orion_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
# import lepath+'/g192_regression.py'
###resturn the images that will be templated and compared in future runs
return ['orion_tfeather.im','orion_tfeather2.im','orion_tsdmem.image','orion_tsdms.image','orion_tjoint3.image']
def run():
lepath=locatescript('ggtau_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
# import lepath+'/g192_regression.py'
###resturn the images that will be templated and compared in future runs
return ['ggtau.co.image', 'ggtau.1mm.image', 'ggtau.3mm.image']
def run():
lepath = locatescript("ngc5921_uvcontsub2.py")
print "Script used is ", lepath
gl["regstate"] = True
execfile(lepath, gl)
print "regstate =", gl["regstate"]
if not gl["regstate"]:
raise Exception, "regstate = False"
###return the images that will be templated and compared in future runs
return ["ngc5921uvcontsub2/ngc5921.clean.image"]
def run( fetch=False ):
#####locate the regression script
lepath=locatescript('cleanhelper_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return []
def run(fetch=False):
#####locate the regression script
lepath=locatescript('m51_3sim_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return ['m51c/m51c.aca.tp.sd.ms','m51c/m51c.aca.i.ms','m51c/m51c.alma_0.5arcsec.ms','m51c/m51c.alma_0.5arcsec.image']
def run():
#####locate the regression script
lepath=locatescript('testcube2_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return ['tc2/tc2.alma.out01.ms']
def run(fetch=False):
#####locate the regression script
lepath = locatescript('ori_hc3n_task_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
return []
def run(fetch=False):
#####locate the regression script
lepath=locatescript('listvis_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
return []
def run():
lepath=locatescript('ngc1333_regression.py')
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
# import lepath+'/g192_regression.py'
###resturn the images that will be templated and compared in future runs
# return ['src.task.image', 'src.tmom0.red', 'src.tmom0.blu','src.tmom0.all', 'src.tmom1.all' ]
return ['ngc1333_regression/n1333_both.image', 'ngc1333_regression/n1333_both.src.tmom0.red', 'ngc1333_regression/n1333_both.src.tmom0.blu', 'ngc1333_regression/n1333_both.src.tmom0.all', 'ngc1333_regression/n1333_both.src.tmom1.all']
def run(fetch=False):
#####locate the regression script
#lepath=locatescript('ori_hc3n_task_regression.py')
lepath=locatescript('alma-m100-sd-regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
return []
def run():
#####locate the regression script
lepath=locatescript('g192_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
# import lepath+'/g192_regression.py'
###resturn the images that will be templated and compared in future runs
return ['g192_a2.image']
def run():
#####locate the regression script
lepath = locatescript('testcube2_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return ['tc2/tc2.alma.out01.ms']
def run():
#####locate the regression script
try:
lepath = locatescript('cvel_regression2.py')
print 'Script used is ', lepath
execfile(lepath, gl, pass_on)
except:
print 'execution failed: ', sys.exc_info()
raise
###return the images that will be templated and compared in future runs
return []
def run(fetch=False):
#####locate the regression script
lepath = locatescript('pipelineTest_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return []
def run(fetch=False):
lepath = locatescript('l02d_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return [
'l2.3mmcont.image', 'l2.1mm.image', 'l02d.3mmcont.image',
'l02d.1mmcont.image', 'l02d.c34s.image', 'l02d.ch3oh.image'
]
def run(fetch=False):
lepath = locatescript('h121_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
# import lepath+'/g192_regression.py'
###resturn the images that will be templated and compared in future runs
return [
'nrao150.3mm.image', 'h121.co10.image', '0224b.3mm.image',
'h121b.co10.image', 'h121all.3mm.image', 'h121c.co10.image'
]
def run(fetch=False):
#####locate the regression script
lepath = locatescript('m51_3sim_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return [
'm51c/m51c.aca.tp.sd.ms', 'm51c/m51c.aca.i.ms',
'm51c/m51c.alma_0.5arcsec.ms', 'm51c/m51c.alma_0.5arcsec.image'
]
def run(fetch=False):
#####locate the regression script
lepath=locatescript('3C391polim_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
# *curretly 3C391polim_regression.py has a way to store stats in a pickle
# file.
return []
def run(fetch=False):
#####locate the regression script
lepath = locatescript('3C391polim_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
# *curretly 3C391polim_regression.py has a way to store stats in a pickle
# file.
return []
def run(fetch=False):
#####locate the regression script
lepath = locatescript('testcompsim.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return [
'cltest/cltest.alma.cycle0.extended.ms',
'cltest/cltest.alma.cycle0.extended.image',
'cltest/cltest.alma.cycle0.extended.diff'
]
def run(fetch=False):
#####locate the regression script
lepath = locatescript("ppdisk2_regression.py")
print "Script used is ", lepath
gl["regstate"] = True
execfile(lepath, gl)
print "regstate =", gl["regstate"]
if not gl["regstate"]:
raise Exception, "regstate = False"
###return the images that will be templated and compared in future runs
return [
"psim2/psim2.alma.out20.noisy.ms",
"psim2/psim2.alma.out20.noisy.image",
"psim2/psim2.alma.out20.noisy.diff",
]
def run(fetch=False):
#####fetch data
if fetch:
for f in data():
copydata(f, os.getcwd())
#####locate the regression script
lepath = locatescript('accum_regression.py')
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
return []
def run(fetch=False):
#####fetch data
if fetch:
for f in data():
copydata(f, os.getcwd())
#####locate the regression script
try:
lepath = locatescript('alma-m100-analysis-regression.py')
print 'Script used is ', lepath
execfile(lepath, gl, pass_on)
except:
print 'execution failed: ', sys.exc_info()
raise
###return the images that will be templated and compared in future runs
return []
def run(fetch=False):
#####fetch data
if fetch:
for f in data():
copydata(f, os.getcwd())
#####locate the regression script
lepath = locatescript('wideband_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
### return the images that will be templated and compared in future runs
return []
def run( fetch=False ):
#####fetch data
if fetch:
for f in data( ):
copydata( f, os.getcwd( ) )
#####locate the regression script
try:
lepath=locatescript('alma-m100-analysis-hpc-regression.py')
print 'Script used is ',lepath
execfile(lepath, gl, pass_on)
except:
print 'execution failed: ', sys.exc_info()
raise
###return the images that will be templated and compared in future runs
return []
def run(fetch=False):
#####fetch data
if fetch:
for f in data( ):
copydata( f, os.getcwd( ) )
#####locate the regression script
lepath=locatescript('wideband_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
### return the images that will be templated and compared in future runs
return []; #'reg_3C286.image.tt0','reg_3C286.image.alpha','reg_3C286.image.beta']
def run(fetch=False):
#####fetch data
if fetch:
for f in data( ):
copydata( f, os.getcwd( ) )
#####locate the regression script
lepath=locatescript('ngc4826_tutorial_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return ['ngc4826.tutorial.16apr98.src.clean.image', 'ngc4826.tutorial.16apr98.moments.mom1']
def run(fetch=False):
lepath = locatescript("h121_regression.py")
print "Script used is ", lepath
gl["regstate"] = True
execfile(lepath, gl)
print "regstate =", gl["regstate"]
if not gl["regstate"]:
raise Exception, "regstate = False"
# import lepath+'/g192_regression.py'
###resturn the images that will be templated and compared in future runs
return [
"nrao150.3mm.image",
"h121.co10.image",
"0224b.3mm.image",
"h121b.co10.image",
"h121all.3mm.image",
"h121c.co10.image",
]
def run():
lepath = locatescript('ngc1333_regression.py')
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
# import lepath+'/g192_regression.py'
###resturn the images that will be templated and compared in future runs
# return ['src.task.image', 'src.tmom0.red', 'src.tmom0.blu','src.tmom0.all', 'src.tmom1.all' ]
return [
'ngc1333_regression/n1333_both.image',
'ngc1333_regression/n1333_both.src.tmom0.red',
'ngc1333_regression/n1333_both.src.tmom0.blu',
'ngc1333_regression/n1333_both.src.tmom0.all',
'ngc1333_regression/n1333_both.src.tmom1.all'
]
def run( fetch=False ):
#####fetch data
if fetch:
for f in data( ):
copydata( f, os.getcwd( ) )
#####locate the regression script
lepath=locatescript('3c129_tutorial_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
# return ['3C129BC.clean.image', 'at166B.3c129.image', 'at166C.3c129.image']
return ['3C129BC.core.I']
def run(fetch=False):
#####fetch data
if fetch:
for f in data( ):
copydata( f, os.getcwd( ) )
#####locate the regression script
lepath=locatescript('ngc2403_tutorial_regression.py')
print 'Script used is ',lepath
gl['regstate']=True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
#not in repository: return ['n2403.tutorial.final.clean.image','n2403.tutorial.dirty.image']
return ['n2403.tutorial.final.clean.image']
def run(fetch=False):
#####fetch data
if fetch:
for f in data():
copydata(f, os.getcwd())
#####locate the regression script
lepath = locatescript('ngc2403_tutorial_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
#not in repository: return ['n2403.tutorial.final.clean.image','n2403.tutorial.dirty.image']
return ['n2403.tutorial.final.clean.image']
def run(fetch=False):
#####fetch data
if fetch:
for f in data():
copydata(f, os.getcwd())
#####locate the regression script
lepath = locatescript('ngc4826_tutorial_regression.py')
print 'Script used is ', lepath
gl['regstate'] = True
execfile(lepath, gl)
print 'regstate =', gl['regstate']
if not gl['regstate']:
raise Exception, 'regstate = False'
###return the images that will be templated and compared in future runs
return [
'ngc4826.tutorial.16apr98.src.clean.image',
'ngc4826.tutorial.16apr98.moments.mom1'
]
