def test_add_pol():
uv1 = UVFlag(test_f_file)
uv2 = copy.deepcopy(uv1)
uv2.polarization_array += 1 # Arbitrary
uv3 = uv1.__add__(uv2, axis='polarization')
nt.assert_true(np.array_equal(uv1.freq_array, uv3.freq_array))
nt.assert_true(np.array_equal(uv1.time_array, uv3.time_array))
nt.assert_true(np.array_equal(uv1.baseline_array, uv3.baseline_array))
nt.assert_true(np.array_equal(uv1.ant_1_array, uv3.ant_1_array))
nt.assert_true(np.array_equal(uv1.ant_2_array, uv3.ant_2_array))
nt.assert_true(np.array_equal(uv1.lst_array, uv3.lst_array))
nt.assert_true(
np.array_equal(
np.concatenate((uv1.metric_array, uv2.metric_array), axis=3),
uv3.metric_array))
nt.assert_true(
np.array_equal(
np.concatenate((uv1.weights_array, uv2.weights_array), axis=3),
uv3.weights_array))
nt.assert_true(uv3.type == 'baseline')
nt.assert_true(uv3.mode == 'metric')
nt.assert_true(
np.array_equal(
np.concatenate((uv1.polarization_array, uv2.polarization_array)),
uv3.polarization_array))
nt.assert_true('Data combined along polarization axis with ' +
hera_qm_version_str in uv3.history)
def test_add_antenna():
uvc = UVCal()
uvc.read_calfits(test_c_file)
uv1 = UVFlag(uvc)
uv2 = copy.deepcopy(uv1)
uv2.ant_array += 100 # Arbitrary
uv3 = uv1.__add__(uv2, axis='antenna')
nt.assert_true(
np.array_equal(np.concatenate((uv1.ant_array, uv2.ant_array)),
uv3.ant_array))
nt.assert_true(
np.array_equal(
np.concatenate((uv1.metric_array, uv2.metric_array), axis=0),
uv3.metric_array))
nt.assert_true(
np.array_equal(
np.concatenate((uv1.weights_array, uv2.weights_array), axis=0),
uv3.weights_array))
nt.assert_true(np.array_equal(uv1.freq_array, uv3.freq_array))
nt.assert_true(np.array_equal(uv1.time_array, uv3.time_array))
nt.assert_true(np.array_equal(uv1.lst_array, uv3.lst_array))
nt.assert_true(uv3.type == 'antenna')
nt.assert_true(uv3.mode == 'metric')
nt.assert_true(
np.array_equal(uv1.polarization_array, uv3.polarization_array))
nt.assert_true('Data combined along antenna axis with ' +
hera_qm_version_str in uv3.history)
def test_to_waterfall_bl_multi_pol():
uvf = UVFlag(test_f_file)
uvf.weights_array = np.ones_like(uvf.weights_array)
uvf2 = uvf.copy()
uvf2.polarization_array[0] = -4
uvf.__add__(uvf2, inplace=True,
axis='pol') # Concatenate to form multi-pol object
uvf2 = uvf.copy() # Keep a copy to run with keep_pol=False
uvf.to_waterfall()
nt.assert_true(uvf.type == 'waterfall')
nt.assert_true(uvf.metric_array.shape == (len(uvf.time_array),
len(uvf.freq_array),
len(uvf.polarization_array)))
nt.assert_true(uvf.weights_array.shape == uvf.metric_array.shape)
nt.assert_true(len(uvf.polarization_array) == 2)
# Repeat with keep_pol=False
uvf2.to_waterfall(keep_pol=False)
nt.assert_true(uvf2.type == 'waterfall')
nt.assert_true(uvf2.metric_array.shape == (len(uvf2.time_array),
len(uvf.freq_array), 1))
nt.assert_true(uvf2.weights_array.shape == uvf2.metric_array.shape)
nt.assert_true(len(uvf2.polarization_array) == 1)
nt.assert_true(uvf2.polarization_array[0] == ','.join(
map(str, uvf.polarization_array)))