def test_scatter_gather_facet(self):
m31original = create_test_image(
polarisation_frame=PolarisationFrame('stokesI'))
assert numpy.max(numpy.abs(m31original.data)), "Original is empty"
for nraster in [1, 4, 8]:
m31model = create_test_image(
polarisation_frame=PolarisationFrame('stokesI'))
image_list = image_scatter_facets(m31model, facets=nraster)
for patch in image_list:
assert patch.data.shape[3] == (m31model.data.shape[3] // nraster), \
"Number of pixels in each patch: %d not as expected: %d" % (patch.data.shape[3],
(m31model.data.shape[3] // nraster))
assert patch.data.shape[2] == (m31model.data.shape[2] // nraster), \
"Number of pixels in each patch: %d not as expected: %d" % (patch.data.shape[2],
(m31model.data.shape[2] // nraster))
patch.data[...] = 1.0
m31reconstructed = create_empty_image_like(m31model)
m31reconstructed = image_gather_facets(image_list,
m31reconstructed,
facets=nraster)
flat = image_gather_facets(image_list,
m31reconstructed,
facets=nraster,
return_flat=True)
assert numpy.max(numpy.abs(
flat.data)), "Flat is empty for %d" % nraster
assert numpy.max(numpy.abs(
m31reconstructed.data)), "Raster is empty for %d" % nraster
def test_scatter_gather_facet_overlap_taper(self):
m31original = create_test_image(
polarisation_frame=PolarisationFrame('stokesI'))
assert numpy.max(numpy.abs(m31original.data)), "Original is empty"
for taper in ['linear', None]:
for nraster, overlap in [(1, 0), (4, 8), (8, 8), (8, 16)]:
m31model = create_test_image(
polarisation_frame=PolarisationFrame('stokesI'))
image_list = image_scatter_facets(m31model,
facets=nraster,
overlap=overlap,
taper=taper)
for patch in image_list:
assert patch.data.shape[3] == (2 * overlap + m31model.data.shape[3] // nraster), \
"Number of pixels in each patch: %d not as expected: %d" % (patch.data.shape[3],
(2 * overlap + m31model.data.shape[3] //
nraster))
assert patch.data.shape[2] == (2 * overlap + m31model.data.shape[2] // nraster), \
"Number of pixels in each patch: %d not as expected: %d" % (patch.data.shape[2],
(2 * overlap + m31model.data.shape[2] //
nraster))
m31reconstructed = create_empty_image_like(m31model)
m31reconstructed = image_gather_facets(image_list,
m31reconstructed,
facets=nraster,
overlap=overlap,
taper=taper)
flat = image_gather_facets(image_list,
m31reconstructed,
facets=nraster,
overlap=overlap,
taper=taper,
return_flat=True)
if self.persist:
export_image_to_fits(
m31reconstructed,
"%s/test_image_gather_scatter_%dnraster_%doverlap_%s_reconstructed.fits"
% (self.dir, nraster, overlap, taper))
if self.persist:
export_image_to_fits(
flat,
"%s/test_image_gather_scatter_%dnraster_%doverlap_%s_flat.fits"
% (self.dir, nraster, overlap, taper))
assert numpy.max(numpy.abs(
flat.data)), "Flat is empty for %d" % nraster
assert numpy.max(numpy.abs(
m31reconstructed.data)), "Raster is empty for %d" % nraster