def test_ccdmask_empty_mask():
flat1 = numpy.ones((2000, 2000))
flat1[0:100, 0] = 0
flat2 = flat1
mask = numpy.zeros((2000, 2000), dtype="int")
bpm2 = ccdmask(flat1, flat2, mask, mode="full")
assert bpm2[1].sum() == 100
def run(self, rinput):
self.logger.info('start BPM recipe')
N = len(rinput.obresult.frames)
self.logger.debug('we have %d images', N)
half = N // 2
flow = self.init_filters(rinput, rinput.obresult.configuration)
self.logger.debug('we have %d images', N)
reduced1 = basic_processing_with_combination_frames(
rinput.obresult.frames[:half],
flow,
method=combine.median
)
self.save_intermediate_img(reduced1, 'reduced1.fits')
reduced2 = basic_processing_with_combination_frames(
rinput.obresult.frames[half:],
flow,
method=combine.median
)
self.save_intermediate_img(reduced2, 'reduced2.fits')
ratio, mask, sigma = ccdmask(reduced1[0].data, reduced2[0].data, mode='full')
hdu = fits.PrimaryHDU(mask, header=reduced1[0].header)
hdu.header['UUID'] = uuid.uuid1().hex
hdu.header['OBJECT'] = 'MASTER BPM'
hdu.header['IMAGETYP'] = 'BPM'
self.set_base_headers(hdu.header)
hdu.header['history'] = 'BPM creation time {}'.format(
datetime.datetime.utcnow().isoformat()
)
for frame in rinput.obresult.frames:
hdu.header['history'] = "With image {}".format(
self.datamodel.get_imgid(frame.open())
)
reduced = fits.HDUList([hdu])
self.logger.info('end BPM recipe')
return self.create_result(master_bpm=reduced)
def test_ccdmask_no_mask():
flat1 = numpy.ones((2000, 2000))
flat1[0:100, 0] = 0
flat2 = flat1
bpm2 = ccdmask(flat1, flat2, mode="full")
assert bpm2[1].sum() == 100
def test_ccdmask_flat2_None():
flat1 = numpy.ones((20, 20))
bpm2 = ccdmask(flat1)
assert bpm2[1].all() == False
