def setup_class(klass):
import os
klass.curdir = os.path.dirname(__file__)
klass.datadir = os.path.join(klass.curdir, 'data')
klass.config_file = \
os.path.abspath(os.path.join(klass.datadir, "calibrators.ini"))
klass.config_file_empty = \
os.path.abspath(os.path.join(klass.datadir,
"calibrators_nocal.ini"))
klass.config = read_config(klass.config_file)
klass.caldir = os.path.join(klass.datadir, 'sim', 'calibration')
klass.caldir2 = os.path.join(klass.datadir, 'sim', 'calibration2')
klass.caldir3 = os.path.join(klass.datadir, 'sim', 'calibration_bad')
klass.crossdir = os.path.join(klass.datadir, 'sim', 'crossscans')
if not os.path.exists(klass.caldir):
print('Fake calibrators: DummyCal, 1 Jy.')
mkdir_p(klass.caldir)
sim_crossscans(5, klass.caldir)
if not os.path.exists(klass.caldir2):
print('Fake calibrators: DummyCal2, 1 Jy.')
mkdir_p(klass.caldir2)
sim_crossscans(5, klass.caldir2, srcname='DummyCal2')
if not os.path.exists(klass.caldir3):
print('Fake calibrators: DummyCal2, wrong flux 0.52 Jy.')
mkdir_p(klass.caldir3)
sim_crossscans(1,
klass.caldir3,
srcname='DummyCal2',
scan_func=source_scan_func)
if not os.path.exists(klass.crossdir):
print('Fake cross scans: DummySrc, 0.52 Jy.')
mkdir_p(klass.crossdir)
sim_crossscans(5,
klass.crossdir,
srcname='DummySrc',
scan_func=source_scan_func)
klass.scan_list = \
list_scans(klass.caldir, ['./']) + \
list_scans(klass.caldir2, ['./']) + \
list_scans(klass.crossdir, ['./'])
klass.scan_list.sort()
caltable = CalibratorTable()
caltable.from_scans(klass.scan_list)
caltable.update()
klass.calfile = os.path.join(klass.curdir, 'test_calibration.hdf5')
caltable.write(klass.calfile, overwrite=True)
caltable.write(klass.calfile.replace('hdf5', 'csv'))
def test_check_consistency_fails_with_bad_data(self):
scan_list = \
list_scans(self.caldir, ['./']) + \
list_scans(self.caldir2, ['./']) + \
list_scans(self.caldir3, ['./']) + \
list_scans(self.crossdir, ['./'])
scan_list.sort()
caltable = CalibratorTable()
caltable.from_scans(scan_list)
caltable.update()
res = caltable.check_consistency(channel='Feed0_LCP')
assert not np.all(res)