def test_guider_pipeline3(_bigdata):
"""
Regression test of calwebb_guider pipeline performed on ID STACKED data.
"""
GuiderPipeline.call(
_bigdata +
'/fgs/test_guiderpipeline/jw86600004001_gs-id_1_stacked-uncal.fits',
output_file='jw86600004001_gs-id_1_stacked-cal.fits')
# Compare calibrated ramp product
n_cr = 'jw86600004001_gs-id_1_stacked-cal.fits'
h = pf.open(n_cr)
n_ref = _bigdata + '/fgs/test_guiderpipeline/jw86600004001_gs-id_1_stacked-cal_ref.fits'
href = pf.open(n_ref)
newh = pf.HDUList([h['primary'], h['sci'], h['dq']])
newhref = pf.HDUList([href['primary'], href['sci'], href['dq']])
result = pf.diff.FITSDiff(
newh,
newhref,
ignore_keywords=['DATE', 'CAL_VER', 'CAL_VCS', 'CRDS_VER', 'CRDS_CTX'],
rtol=0.000001)
assert result.identical, result.report()
def test_guider_pipeline1(self):
"""
Regression test of calwebb_guider pipeline performed on ID-image data.
"""
input_file = self.get_data(self.test_dir,
'jw88600073001_gs-id_7_image-uncal.fits')
GuiderPipeline.call(input_file,
output_file='jw88600073001_gs-id_7_image-cal.fits')
# Compare calibrated ramp product
outputs = [('jw88600073001_gs-id_7_image-cal.fits',
'jw88600073001_gs-id_7_image-cal_ref.fits',
['primary','sci','dq'])
]
self.compare_outputs(outputs)
def test_guider_pipeline2(self):
"""
Regression test of calwebb_guider pipeline performed on ACQ-1 data.
"""
input_file = self.get_data(self.test_dir,
'jw88600073001_gs-acq1_2016022183837_uncal.fits')
GuiderPipeline.call(input_file,
output_file='jw88600073001_gs-acq1_2016022183837_cal.fits')
# Compare calibrated ramp product
outputs = [('jw88600073001_gs-acq1_2016022183837_cal.fits',
'jw88600073001_gs-acq1_2016022183837_cal_ref.fits',
['primary','sci','dq'])
]
self.compare_outputs(outputs)
def test_guider_pipeline2(_bigdata):
"""
Regression test of calwebb_guider pipeline performed on ACQ-1 data.
"""
GuiderPipeline.call(
_bigdata +
'/fgs/test_guiderpipeline/jw88600073001_gs-acq1_2016022183837_uncal.fits',
output_file='jw88600073001_gs-acq1_2016022183837_cal.fits')
# Compare calibrated ramp product
n_cr = 'jw88600073001_gs-acq1_2016022183837_cal.fits'
h = fits.open(n_cr)
n_ref = _bigdata + '/fgs/test_guiderpipeline/jw88600073001_gs-acq1_2016022183837_cal_ref.fits'
href = fits.open(n_ref)
newh = fits.HDUList([h['primary'], h['sci'], h['dq']])
newhref = fits.HDUList([href['primary'], href['sci'], href['dq']])
result = fits.diff.FITSDiff(
newh,
newhref,
ignore_keywords=['DATE', 'CAL_VER', 'CAL_VCS', 'CRDS_VER', 'CRDS_CTX'],
rtol=0.000001)
assert result.identical, result.report()