def test_healpix_errors():
beam_in = UVBeam()
beam_out = UVBeam()
write_file = os.path.join(DATA_PATH, 'test/outtest_beam_hpx.fits')
# now change values for various items in primary hdu to test errors
beam_in.read_cst_beam(cst_files[0], beam_type='efield', frequency=150e6,
telescope_name='TEST', feed_name='bob',
feed_version='0.1', feed_pol=['x'],
model_name='E-field pattern - Rigging height 4.9m',
model_version='1.0')
beam_in.az_za_to_healpix()
header_vals_to_change = [{'CTYPE1': 'foo'}, {'NAXIS1': ''}]
for i, hdr_dict in enumerate(header_vals_to_change):
beam_in.write_beamfits(write_file, clobber=True)
keyword = hdr_dict.keys()[0]
new_val = hdr_dict[keyword]
F = fits.open(write_file)
data = F[0].data
primary_hdr = F[0].header
hdunames = uvutils.fits_indexhdus(F)
basisvec_hdu = F[hdunames['BASISVEC']]
hpx_hdu = F[hdunames['HPX_INDS']]
bandpass_hdu = F[hdunames['BANDPARM']]
if 'NAXIS' in keyword:
ax_num = keyword.split('NAXIS')[1]
if ax_num != '':
ax_num = int(ax_num)
ax_use = len(data.shape) - ax_num
new_arrays = np.split(data, primary_hdr[keyword], axis=ax_use)
data = new_arrays[0]
else:
data = np.squeeze(np.split(data, primary_hdr['NAXIS1'],
axis=len(data.shape) - 1)[0])
else:
primary_hdr[keyword] = new_val
prihdu = fits.PrimaryHDU(data=data, header=primary_hdr)
hdulist = fits.HDUList([prihdu, basisvec_hdu, hpx_hdu, bandpass_hdu])
if float(astropy.__version__[0:3]) < 1.3:
hdulist.writeto(write_file, clobber=True)
else:
hdulist.writeto(write_file, overwrite=True)
nt.assert_raises(ValueError, beam_out.read_beamfits, write_file)
# now change values for various items in basisvec hdu to not match primary hdu
beam_in.read_cst_beam(cst_files[0], beam_type='efield', frequency=150e6,
telescope_name='TEST', feed_name='bob',
feed_version='0.1', feed_pol=['x'],
model_name='E-field pattern - Rigging height 4.9m',
model_version='1.0')
beam_in.az_za_to_healpix()
header_vals_to_change = [{'CTYPE1': 'foo'}, {'NAXIS1': ''}]
for i, hdr_dict in enumerate(header_vals_to_change):
beam_in.write_beamfits(write_file, clobber=True)
keyword = hdr_dict.keys()[0]
new_val = hdr_dict[keyword]
F = fits.open(write_file)
data = F[0].data
primary_hdr = F[0].header
hdunames = uvutils.fits_indexhdus(F)
basisvec_hdu = F[hdunames['BASISVEC']]
basisvec_hdr = basisvec_hdu.header
basisvec_data = basisvec_hdu.data
hpx_hdu = F[hdunames['HPX_INDS']]
bandpass_hdu = F[hdunames['BANDPARM']]
if 'NAXIS' in keyword:
ax_num = keyword.split('NAXIS')[1]
if ax_num != '':
ax_num = int(ax_num)
ax_use = len(basisvec_data.shape) - ax_num
new_arrays = np.split(basisvec_data, basisvec_hdr[keyword], axis=ax_use)
basisvec_data = new_arrays[0]
else:
basisvec_data = np.split(basisvec_data, basisvec_hdr['NAXIS1'],
axis=len(basisvec_data.shape) - 1)[0]
else:
basisvec_hdr[keyword] = new_val
prihdu = fits.PrimaryHDU(data=data, header=primary_hdr)
basisvec_hdu = fits.ImageHDU(data=basisvec_data, header=basisvec_hdr)
hdulist = fits.HDUList([prihdu, basisvec_hdu, hpx_hdu, bandpass_hdu])
if float(astropy.__version__[0:3]) < 1.3:
hdulist.writeto(write_file, clobber=True)
else:
hdulist.writeto(write_file, overwrite=True)
nt.assert_raises(ValueError, beam_out.read_beamfits, write_file)
def test_writeread_healpix():
beam_in = UVBeam()
beam_out = UVBeam()
# fill UVBeam object with dummy data for now for testing purposes
beam_in.read_cst_beam(cst_files[0], beam_type='efield', frequency=150e6,
telescope_name='TEST', feed_name='bob',
feed_version='0.1', feed_pol=['x'],
model_name='E-field pattern - Rigging height 4.9m',
model_version='1.0')
beam_in.az_za_to_healpix()
write_file = os.path.join(DATA_PATH, 'test/outtest_beam_hpx.fits')
beam_in.write_beamfits(write_file, clobber=True)
beam_out.read_beamfits(write_file)
nt.assert_equal(beam_in, beam_out)
# redo for power beam
del(beam_in)
beam_in = UVBeam()
# read in efield and convert to power to test cross-pols
beam_in.read_cst_beam(cst_files[0], beam_type='efield', frequency=150e6,
telescope_name='TEST', feed_name='bob',
feed_version='0.1', feed_pol=['x'],
model_name='E-field pattern - Rigging height 4.9m',
model_version='1.0')
beam_in.efield_to_power()
# add optional parameters for testing purposes
beam_in.extra_keywords = {'KEY1': 'test_keyword'}
beam_in.reference_input_impedance = 340.
beam_in.reference_output_impedance = 50.
beam_in.receiver_temperature_array = np.random.normal(50.0, 5, size=(beam_in.Nspws, beam_in.Nfreqs))
beam_in.loss_array = np.random.normal(50.0, 5, size=(beam_in.Nspws, beam_in.Nfreqs))
beam_in.mismatch_array = np.random.normal(0.0, 1.0, size=(beam_in.Nspws, beam_in.Nfreqs))
beam_in.s_parameters = np.random.normal(0.0, 0.3, size=(4, beam_in.Nspws, beam_in.Nfreqs))
# check that data_array is complex
nt.assert_true(np.iscomplexobj(np.real_if_close(beam_in.data_array, tol=10)))
beam_in.az_za_to_healpix()
# check that data_array is complex after interpolation
nt.assert_true(np.iscomplexobj(np.real_if_close(beam_in.data_array, tol=10)))
beam_in.write_beamfits(write_file, clobber=True)
beam_out.read_beamfits(write_file)
nt.assert_equal(beam_in, beam_out)
# now remove coordsys but leave ctype 1
F = fits.open(write_file)
data = F[0].data
primary_hdr = F[0].header
primary_hdr.pop('COORDSYS')
hdunames = uvutils.fits_indexhdus(F)
hpx_hdu = F[hdunames['HPX_INDS']]
bandpass_hdu = F[hdunames['BANDPARM']]
prihdu = fits.PrimaryHDU(data=data, header=primary_hdr)
hdulist = fits.HDUList([prihdu, hpx_hdu, bandpass_hdu])
if float(astropy.__version__[0:3]) < 1.3:
hdulist.writeto(write_file, clobber=True)
else:
hdulist.writeto(write_file, overwrite=True)
beam_out.read_beamfits(write_file)
nt.assert_equal(beam_in, beam_out)