def get_chunks(self):
chunks = caom_util.TypedList(chunk.Chunk, )
_chunk = chunk.Chunk()
if self.complete:
_chunk.product_type = chunk.ProductType.SCIENCE
_chunk.naxis = 5
_chunk.observable_axis = 1
_chunk.position_axis_1 = 1
_chunk.position_axis_2 = 2
_chunk.energy_axis = 3
_chunk.time_axis = 4
_chunk.polarization_axis = 5
_chunk.observable = self.get_observable_axis()
_chunk.position = self.get_spatial_wcs()
_chunk.energy = self.get_spectral_wcs()
_chunk.time = self.get_temporal_wcs()
_chunk.polarization = self.get_polarization_wcs()
_chunk.last_modified = common.get_current_ivoa_time()
if self.caom_version >= 23:
_chunk.max_last_modified = common.get_current_ivoa_time()
_chunk.meta_checksum = common.ChecksumURI(
"md5:9882dbbf9cadc221019b712fd402bcbd")
_chunk.acc_meta_checksum = common.ChecksumURI(
"md5:844ce247db0844ad9f721430c80e7a21")
chunks.append(_chunk)
return chunks
def get_good_test_chunk(ptype):
test_chunk = chunk.Chunk()
test_chunk.position = SpatialTestUtil.good_wcs()
test_chunk.energy = EnergyTestUtil.good_wcs()
test_chunk.time = TimeTestUtil.good_wcs()
# test_chunk.polarization = PolarizationTestUtil.good_wcs()
return test_chunk