# -*- mode: python; coding: utf-8 -*- # Copyright (c) 2018 Radio Astronomy Software Group # Licensed under the 2-clause BSD License """Tests for uvbeam object. """ import copy import os import warnings from collections import namedtuple import numpy as np import pytest from astropy import units from astropy.coordinates import Angle from astropy.io import fits import pyuvdata.tests as uvtest import pyuvdata.utils as uvutils from pyuvdata import UVBeam, _uvbeam from pyuvdata.data import DATA_PATH from pyuvdata.uvbeam.tests.test_cst_beam import cst_files, cst_yaml_file from pyuvdata.uvbeam.tests.test_mwa_beam import filename as mwa_beam_file try: from astropy_healpix import HEALPix healpix_installed = True except (ImportError): healpix_installed = False casa_beamfits = os.path.join(DATA_PATH, "HERABEAM.FITS") @pytest.fixture(scope="function") def uvbeam_data(): """Setup and teardown for basic parameter, property and iterator tests.""" required_properties = [ "beam_type", "Nfreqs", "Naxes_vec", "pixel_coordinate_system", "freq_array", "data_normalization", "data_array", "bandpass_array", "telescope_name", "feed_name", "feed_version", "model_name", "model_version", "history", "antenna_type", "future_array_shapes", ] required_parameters = ["_" + prop for prop in required_properties] extra_properties = [ "Naxes1", "Naxes2", "Npixels", "Nfeeds", "Npols", "Ncomponents_vec", "axis1_array", "axis2_array", "nside", "ordering", "pixel_array", "feed_array", "polarization_array", "basis_vector_array", "Nspws", "spw_array", "extra_keywords", "Nelements", "element_coordinate_system", "element_location_array", "delay_array", "x_orientation", "interpolation_function", "freq_interp_kind", "gain_array", "coupling_matrix", "reference_impedance", "receiver_temperature_array", "loss_array", "mismatch_array", "s_parameters", "filename", ] extra_parameters = ["_" + prop for prop in extra_properties] other_properties = ["pyuvdata_version_str"] beam_obj = UVBeam() DataHolder = namedtuple( "DataHolder", [ "beam_obj", "required_parameters", "required_properties", "extra_parameters", "extra_properties", "other_properties", ], ) uvbeam_data = DataHolder( beam_obj, required_parameters, required_properties, extra_parameters, extra_properties, other_properties, ) # yields the data we need but will continue to the del call after tests yield uvbeam_data # some post-test object cleanup del uvbeam_data return @pytest.fixture(scope="function") def power_beam_for_adding(cst_power_1freq): power_beam = cst_power_1freq # generate more frequencies for testing by copying and adding new_beam = power_beam.copy() new_beam.freq_array = power_beam.freq_array + power_beam.Nfreqs * 1e6 power_beam += new_beam yield power_beam del power_beam return @pytest.fixture(scope="function") def efield_beam_for_adding(cst_efield_1freq): # Add feeds efield_beam = cst_efield_1freq # generate more frequencies for testing by copying and adding new_beam = efield_beam.copy() new_beam.freq_array = efield_beam.freq_array + efield_beam.Nfreqs * 1e6 efield_beam += new_beam yield efield_beam del efield_beam return @pytest.fixture(scope="function") def cross_power_beam_for_adding(efield_beam_for_adding): # generate more polarizations for testing by using efield and keeping cross-pols power_beam = efield_beam_for_adding # Filter the warning that sometimes happens. Needs to be done this way rather than # with uvtest.check_warnings because the warning is not raised on all os types with warnings.catch_warnings(): warnings.filterwarnings( "ignore", message="Fixing auto polarization power beams" ) power_beam.efield_to_power() # generate more frequencies for testing by copying and adding several times while power_beam.Nfreqs < 8: new_beam = power_beam.copy() new_beam.freq_array = power_beam.freq_array + power_beam.Nfreqs * 1e6 power_beam += new_beam yield power_beam del power_beam return def test_parameter_iter(uvbeam_data): """Test expected parameters.""" all_params = [] for prop in uvbeam_data.beam_obj: all_params.append(prop) for a in uvbeam_data.required_parameters + uvbeam_data.extra_parameters: assert a in all_params, ( "expected attribute " + a + " not returned in object iterator" ) def test_required_parameter_iter(uvbeam_data): """Test expected required parameters.""" required = [] for prop in uvbeam_data.beam_obj.required(): required.append(prop) for a in uvbeam_data.required_parameters: assert a in required, ( "expected attribute " + a + " not returned in required iterator" ) def test_extra_parameter_iter(uvbeam_data): """Test expected optional parameters.""" extra = [] for prop in uvbeam_data.beam_obj.extra(): extra.append(prop) for a in uvbeam_data.extra_parameters: assert a in extra, "expected attribute " + a + " not returned in extra iterator" def test_unexpected_parameters(uvbeam_data): """Test for extra parameters.""" expected_parameters = uvbeam_data.required_parameters + uvbeam_data.extra_parameters attributes = [i for i in uvbeam_data.beam_obj.__dict__.keys() if i[0] == "_"] for a in attributes: assert a in expected_parameters, ( "unexpected parameter " + a + " found in UVBeam" ) def test_unexpected_attributes(uvbeam_data): """Test for extra attributes.""" expected_attributes = ( uvbeam_data.required_properties + uvbeam_data.extra_properties + uvbeam_data.other_properties ) attributes = [i for i in uvbeam_data.beam_obj.__dict__.keys() if i[0] != "_"] for a in attributes: assert a in expected_attributes, ( "unexpected attribute " + a + " found in UVBeam" ) def test_properties(uvbeam_data): """Test that properties can be get and set properly.""" prop_dict = dict( list( zip( uvbeam_data.required_properties + uvbeam_data.extra_properties, uvbeam_data.required_parameters + uvbeam_data.extra_parameters, ) ) ) for k, v in prop_dict.items(): rand_num = np.random.rand() setattr(uvbeam_data.beam_obj, k, rand_num) this_param = getattr(uvbeam_data.beam_obj, v) try: assert rand_num == this_param.value except AssertionError: print("setting {prop_name} to a random number failed".format(prop_name=k)) raise @pytest.mark.parametrize("beam_type", ["efield", "power", "phased_array"]) def test_future_array_shapes( beam_type, cst_efield_2freq, cst_power_2freq, phased_array_beam_2freq ): if beam_type == "efield": beam = cst_efield_2freq elif beam_type == "power": beam = cst_power_2freq elif beam_type == "phased_array": beam = phased_array_beam_2freq beam2 = beam.copy() beam.use_future_array_shapes() assert beam.Nspws is None assert beam.spw_array is None beam.check() with pytest.raises( ValueError, match="This object already has the future array shapes." ): beam.use_future_array_shapes() beam.use_current_array_shapes() assert beam.Nspws == 1 assert beam.spw_array is not None beam.check() with pytest.raises( ValueError, match="This object already has the current array shapes." ): beam.use_current_array_shapes() assert beam == beam2 def test_set_cs_params(cst_efield_2freq): """ Test _set_cs_params. """ efield_beam = cst_efield_2freq efield_beam2 = efield_beam.copy() efield_beam2._set_cs_params() assert efield_beam2 == efield_beam def test_set_efield(cst_efield_2freq): """ Test _set_efield parameter settings. """ efield_beam = cst_efield_2freq efield_beam2 = efield_beam.copy() efield_beam2._set_efield() assert efield_beam2 == efield_beam def test_set_power(cst_power_2freq): """ Test _set_power parameter settings. """ power_beam = cst_power_2freq power_beam2 = power_beam.copy() power_beam2._set_power() assert power_beam2 == power_beam def test_set_antenna_type(cst_efield_2freq): """ Test set_simple and set_phased_array parameter settings. """ efield_beam = cst_efield_2freq efield_beam2 = efield_beam.copy() efield_beam2._set_simple() assert efield_beam2 == efield_beam efield_beam._set_phased_array() assert efield_beam2 != efield_beam def test_errors(): beam_obj = UVBeam() with pytest.raises(ValueError, match="filetype must be beamfits"): beam_obj._convert_to_filetype("foo") @pytest.mark.parametrize("future_shapes", [True, False]) def test_check_auto_power(future_shapes, cst_efield_2freq_cut): power_beam = cst_efield_2freq_cut.copy() power_beam.efield_to_power() if future_shapes: power_beam.use_future_array_shapes() power_beam.data_array[..., 0, :, :, :] += power_beam.data_array[..., 2, :, :, :] with pytest.raises( ValueError, match="Some auto polarization power beams have non-real values in " "data_array.", ): power_beam.check(check_auto_power=True) with uvtest.check_warnings( UserWarning, match="Fixing auto polarization power beams to be be real-only, " "after some imaginary values were detected in data_array.", ): power_beam.check(check_auto_power=True, fix_auto_power=True) power_beam.check(check_auto_power=True) power_beam2 = power_beam.select(polarizations=[-5, -7], inplace=False) power_beam2.polarization_array = [-5, -6] with uvtest.check_warnings( UserWarning, match="Fixing auto polarization power beams to be be real-only, " "after some imaginary values were detected in data_array.", ): power_beam2.check(check_auto_power=True, fix_auto_power=True) def test_check_auto_power_errors(cst_efield_2freq_cut): with uvtest.check_warnings( UserWarning, match="Cannot use _check_auto_power if beam_type is not 'power', or " "polarization_array is None.", ): cst_efield_2freq_cut._check_auto_power() with uvtest.check_warnings( UserWarning, match="Cannot use _fix_autos if beam_type is not 'power', or " "polarization_array is None. Leaving data_array untouched.", ): cst_efield_2freq_cut._fix_auto_power() @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize("beam_type", ["efield", "power"]) def test_peak_normalize(future_shapes, beam_type, cst_efield_2freq, cst_power_2freq): if beam_type == "efield": beam = cst_efield_2freq else: beam = cst_power_2freq if future_shapes: beam.use_future_array_shapes() orig_bandpass_array = copy.deepcopy(beam.bandpass_array) maxima = np.zeros(beam.Nfreqs) for freq_i in range(beam.Nfreqs): maxima[freq_i] = np.amax(abs(beam.data_array[..., freq_i, :, :])) beam.peak_normalize() assert np.amax(abs(beam.data_array)) == 1 assert np.sum(abs(beam.bandpass_array - orig_bandpass_array * maxima)) == 0 assert beam.data_normalization == "peak" def test_peak_normalize_errors(cst_power_2freq): cst_power_2freq.data_normalization = "solid_angle" with pytest.raises( NotImplementedError, match="Conversion from solid_angle to peak " "normalization is not yet implemented", ): cst_power_2freq.peak_normalize() def test_stokes_matrix(): beam = UVBeam() with pytest.raises(ValueError, match="n must be positive integer."): beam._stokes_matrix(-2) with pytest.raises(ValueError, match="n should lie between 0 and 3."): beam._stokes_matrix(5) @pytest.mark.parametrize("future_shapes", [True, False]) def test_efield_to_pstokes( future_shapes, cst_efield_2freq_cut, cst_efield_2freq_cut_healpix ): pstokes_beam = cst_efield_2freq_cut pstokes_beam_2 = cst_efield_2freq_cut_healpix if future_shapes: pstokes_beam.use_future_array_shapes() pstokes_beam_2.use_future_array_shapes() # convert to pstokes after interpolating beam_return = pstokes_beam_2.efield_to_pstokes(inplace=False) # interpolate after converting to pstokes pstokes_beam.interpolation_function = "az_za_simple" pstokes_beam.efield_to_pstokes() pstokes_beam.to_healpix() pstokes_beam.peak_normalize() beam_return.peak_normalize() # NOTE: So far, the following doesn't hold unless the beams are # peak_normalized again. # This seems to be the fault of interpolation assert np.allclose(pstokes_beam.data_array, beam_return.data_array, atol=1e-2) def test_efield_to_pstokes_error(cst_power_2freq_cut): power_beam = cst_power_2freq_cut with pytest.raises(ValueError, match="beam_type must be efield."): power_beam.efield_to_pstokes() @pytest.mark.parametrize("future_shapes", [True, False]) def test_efield_to_power(future_shapes, cst_efield_2freq_cut, cst_power_2freq_cut): efield_beam = cst_efield_2freq_cut power_beam = cst_power_2freq_cut if future_shapes: efield_beam.use_future_array_shapes() power_beam.use_future_array_shapes() new_power_beam = efield_beam.efield_to_power(calc_cross_pols=False, inplace=False) # The values in the beam file only have 4 sig figs, so they don't match precisely diff = np.abs(new_power_beam.data_array - power_beam.data_array) assert np.max(diff) < 2 reldiff = diff / power_beam.data_array assert np.max(reldiff) < 0.002 # set data_array tolerances higher to test the rest of the object # tols are (relative, absolute) tols = [0.002, 0] power_beam._data_array.tols = tols # modify the history to match power_beam.history += " Converted from efield to power using pyuvdata." assert power_beam == new_power_beam def test_efield_to_power_1feed(cst_efield_2freq_cut, cst_power_2freq_cut): efield_beam = cst_efield_2freq_cut efield_beam.select(feeds=["x"]) power_beam = cst_power_2freq_cut power_beam.select(polarizations=["xx"]) new_power_beam = efield_beam.efield_to_power(calc_cross_pols=True, inplace=False) # The values in the beam file only have 4 sig figs, so they don't match precisely diff = np.abs(new_power_beam.data_array - power_beam.data_array) assert np.max(diff) < 2 reldiff = diff / power_beam.data_array assert np.max(reldiff) < 0.002 # set data_array tolerances higher to test the rest of the object # tols are (relative, absolute) tols = [0.002, 0] power_beam._data_array.tols = tols # modify the history to match power_beam.history = new_power_beam.history assert power_beam == new_power_beam def test_efield_to_power_nonorthogonal(cst_efield_2freq_cut): efield_beam = cst_efield_2freq_cut new_power_beam = efield_beam.efield_to_power(calc_cross_pols=False, inplace=False) # test with non-orthogonal basis vectors # first construct a beam with non-orthogonal basis vectors new_basis_vecs = np.zeros_like(efield_beam.basis_vector_array) new_basis_vecs[0, 0, :, :] = np.sqrt(0.5) new_basis_vecs[0, 1, :, :] = np.sqrt(0.5) new_basis_vecs[1, :, :, :] = efield_beam.basis_vector_array[1, :, :, :] new_data = np.zeros_like(efield_beam.data_array) # drop all the trailing colons in the slicing below new_data[0] = np.sqrt(2) * efield_beam.data_array[0] new_data[1] = efield_beam.data_array[1] - efield_beam.data_array[0] efield_beam2 = efield_beam.copy() efield_beam2.basis_vector_array = new_basis_vecs efield_beam2.data_array = new_data efield_beam2.check() # now convert to power. Should get the same result new_power_beam2 = efield_beam2.copy() new_power_beam2.efield_to_power(calc_cross_pols=False) assert new_power_beam == new_power_beam2 if healpix_installed: # check that this raises an error if trying to convert to HEALPix: efield_beam2.interpolation_function = "az_za_simple" with pytest.raises( NotImplementedError, match="interpolation for input basis vectors that are not aligned to the " "native theta/phi coordinate system is not yet supported", ): efield_beam2.to_healpix(inplace=False) # now try a different rotation to non-orthogonal basis vectors new_basis_vecs = np.zeros_like(efield_beam.basis_vector_array) new_basis_vecs[0, :, :, :] = efield_beam.basis_vector_array[0, :, :, :] new_basis_vecs[1, 0, :, :] = np.sqrt(0.5) new_basis_vecs[1, 1, :, :] = np.sqrt(0.5) new_data = np.zeros_like(efield_beam.data_array) new_data[0, :, :, :, :, :] = ( efield_beam.data_array[0, :, :, :, :, :] - efield_beam.data_array[1, :, :, :, :, :] ) new_data[1, :, :, :, :, :] = np.sqrt(2) * efield_beam.data_array[1, :, :, :, :, :] efield_beam2 = efield_beam.copy() efield_beam2.basis_vector_array = new_basis_vecs efield_beam2.data_array = new_data efield_beam2.check() # now convert to power. Should get the same result new_power_beam2 = efield_beam2.copy() new_power_beam2.efield_to_power(calc_cross_pols=False) assert new_power_beam == new_power_beam2 def test_efield_to_power_rotated(cst_efield_2freq_cut): efield_beam = cst_efield_2freq_cut new_power_beam = efield_beam.efield_to_power(calc_cross_pols=False, inplace=False) # now construct a beam with orthogonal but rotated basis vectors new_basis_vecs = np.zeros_like(efield_beam.basis_vector_array) new_basis_vecs[0, 0, :, :] = np.sqrt(0.5) new_basis_vecs[0, 1, :, :] = np.sqrt(0.5) new_basis_vecs[1, 0, :, :] = -1 * np.sqrt(0.5) new_basis_vecs[1, 1, :, :] = np.sqrt(0.5) new_data = np.zeros_like(efield_beam.data_array) new_data[0, :, :, :, :, :] = np.sqrt(0.5) * ( efield_beam.data_array[0, :, :, :, :, :] + efield_beam.data_array[1, :, :, :, :, :] ) new_data[1, :, :, :, :, :] = np.sqrt(0.5) * ( -1 * efield_beam.data_array[0, :, :, :, :, :] + efield_beam.data_array[1, :, :, :, :, :] ) efield_beam2 = efield_beam.copy() efield_beam2.basis_vector_array = new_basis_vecs efield_beam2.data_array = new_data efield_beam2.check() # now convert to power. Should get the same result new_power_beam2 = efield_beam2.copy() new_power_beam2.efield_to_power(calc_cross_pols=False) assert new_power_beam == new_power_beam2 @pytest.mark.parametrize("future_shapes", [True, False]) def test_efield_to_power_crosspol(future_shapes, cst_efield_2freq_cut, tmp_path): efield_beam = cst_efield_2freq_cut if future_shapes: efield_beam.use_future_array_shapes() # test calculating cross pols new_power_beam = efield_beam.efield_to_power(calc_cross_pols=True, inplace=False) wh_2pi = np.where(new_power_beam.axis1_array == np.pi / 2.0)[0] wh_0 = np.where(new_power_beam.axis1_array == 0)[0] assert np.all( np.abs(new_power_beam.data_array[..., 0, :, :, wh_0]) > np.abs(new_power_beam.data_array[..., 2, :, :, wh_0]) ) assert np.all( np.abs(new_power_beam.data_array[..., 0, :, :, wh_2pi]) > np.abs(new_power_beam.data_array[..., 2, :, :, wh_2pi]) ) # test writing out & reading back in power files (with cross pols which are complex) write_file = str(tmp_path / "outtest_beam.fits") new_power_beam.write_beamfits(write_file, clobber=True) new_power_beam2 = UVBeam() new_power_beam2.read_beamfits(write_file, use_future_array_shapes=future_shapes) assert new_power_beam == new_power_beam2 # test keeping basis vectors new_power_beam = efield_beam.efield_to_power( calc_cross_pols=False, keep_basis_vector=True, inplace=False ) assert np.allclose(new_power_beam.data_array, np.abs(efield_beam.data_array) ** 2) def test_efield_to_power_errors(cst_efield_2freq_cut, cst_power_2freq_cut): efield_beam = cst_efield_2freq_cut power_beam = cst_power_2freq_cut # test raises error if beam is already a power beam with pytest.raises(ValueError, match="beam_type must be efield"): power_beam.efield_to_power() # test raises error if input efield beam has Naxes_vec=3 efield_beam.Naxes_vec = 3 with pytest.raises( ValueError, match="Conversion to power with 3-vector efields is not currently supported", ): efield_beam.efield_to_power() @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize("antenna_type", ["simple", "phased_array"]) def test_freq_interpolation( future_shapes, antenna_type, cst_power_2freq, phased_array_beam_2freq ): if antenna_type == "simple": beam = cst_power_2freq else: beam = phased_array_beam_2freq if future_shapes: beam.use_future_array_shapes() beam.interpolation_function = "az_za_simple" # test frequency interpolation returns data arrays for small and large tolerances freq_orig_vals = np.array([123e6, 150e6]) need_coupling = False if antenna_type == "phased_array": need_coupling = True interp_arrays = beam.interp( freq_array=freq_orig_vals, freq_interp_tol=0.0, return_bandpass=True, return_coupling=need_coupling, ) if antenna_type == "simple": interp_data, interp_basis_vector, interp_bandpass = interp_arrays else: ( interp_data, interp_basis_vector, interp_bandpass, interp_coupling_matrix, ) = interp_arrays assert isinstance(interp_data, np.ndarray) assert isinstance(interp_bandpass, np.ndarray) np.testing.assert_array_almost_equal(beam.bandpass_array, interp_bandpass) np.testing.assert_array_almost_equal(beam.data_array, interp_data) if antenna_type == "simple": assert interp_basis_vector is None else: np.testing.assert_array_almost_equal( beam.basis_vector_array, interp_basis_vector ) np.testing.assert_array_almost_equal( beam.coupling_matrix, interp_coupling_matrix ) interp_arrays = beam.interp( freq_array=freq_orig_vals, freq_interp_tol=1.0, return_bandpass=True, return_coupling=need_coupling, ) if antenna_type == "simple": interp_data, interp_basis_vector, interp_bandpass = interp_arrays else: ( interp_data, interp_basis_vector, interp_bandpass, interp_coupling_matrix, ) = interp_arrays assert isinstance(interp_data, np.ndarray) assert isinstance(interp_bandpass, np.ndarray) np.testing.assert_array_almost_equal(beam.bandpass_array, interp_bandpass) np.testing.assert_array_almost_equal(beam.data_array, interp_data) if antenna_type == "simple": assert interp_basis_vector is None else: np.testing.assert_array_almost_equal( beam.basis_vector_array, interp_basis_vector ) # test frequency interpolation returns new UVBeam for small and large tolerances beam.saved_interp_functions = {} optional_freq_params = [ "receiver_temperature_array", "loss_array", "mismatch_array", "s_parameters", ] exp_warnings = [] for param_name in optional_freq_params: exp_warnings.append( f"Input object has {param_name} defined but we do not " "currently support interpolating it in frequency. Returned " "object will not have it set to None." ) with uvtest.check_warnings(UserWarning, match=exp_warnings): new_beam_obj = beam.interp( freq_array=freq_orig_vals, freq_interp_tol=0.0, new_object=True ) assert isinstance(new_beam_obj, UVBeam) if future_shapes: np.testing.assert_array_almost_equal(new_beam_obj.freq_array, freq_orig_vals) else: np.testing.assert_array_almost_equal(new_beam_obj.freq_array[0], freq_orig_vals) assert new_beam_obj.freq_interp_kind == "linear" # test that saved functions are erased in new obj assert not hasattr(new_beam_obj, "saved_interp_functions") assert beam.history != new_beam_obj.history new_beam_obj.history = beam.history # add back optional params to get equality: for param_name in optional_freq_params: setattr(new_beam_obj, param_name, getattr(beam, param_name)) assert beam == new_beam_obj with uvtest.check_warnings(UserWarning, match=exp_warnings): new_beam_obj = beam.interp( freq_array=freq_orig_vals, freq_interp_tol=1.0, new_object=True ) assert isinstance(new_beam_obj, UVBeam) if future_shapes: np.testing.assert_array_almost_equal(new_beam_obj.freq_array, freq_orig_vals) else: np.testing.assert_array_almost_equal(new_beam_obj.freq_array[0], freq_orig_vals) # assert interp kind is 'nearest' when within tol assert new_beam_obj.freq_interp_kind == "nearest" new_beam_obj.freq_interp_kind = "linear" assert beam.history != new_beam_obj.history new_beam_obj.history = beam.history # add back optional params to get equality: for param_name in optional_freq_params: setattr(new_beam_obj, param_name, getattr(beam, param_name)) assert beam == new_beam_obj # test frequency interpolation returns valid new UVBeam for different # number of freqs from input beam.saved_interp_functions = {} with uvtest.check_warnings(UserWarning, match=exp_warnings): new_beam_obj = beam.interp( freq_array=np.linspace(123e6, 150e6, num=5), freq_interp_tol=0.0, new_object=True, ) assert isinstance(new_beam_obj, UVBeam) if future_shapes: np.testing.assert_array_almost_equal( new_beam_obj.freq_array, np.linspace(123e6, 150e6, num=5) ) else: np.testing.assert_array_almost_equal( new_beam_obj.freq_array[0], np.linspace(123e6, 150e6, num=5) ) assert new_beam_obj.freq_interp_kind == "linear" # test that saved functions are erased in new obj assert not hasattr(new_beam_obj, "saved_interp_functions") assert beam.history != new_beam_obj.history new_beam_obj.history = beam.history # down select to orig freqs and test equality new_beam_obj.select(frequencies=freq_orig_vals) assert beam.history != new_beam_obj.history new_beam_obj.history = beam.history # add back optional params to get equality: for param_name in optional_freq_params: setattr(new_beam_obj, param_name, getattr(beam, param_name)) assert beam == new_beam_obj # using only one freq chan should trigger a ValueError if interp_bool is True # unless requesting the original frequency channel such that interp_bool is False. # Therefore, to test that interp_bool is False returns array slice as desired, # test that ValueError is not raised in this case. # Other ways of testing this (e.g. interp_data_array.flags['OWNDATA']) does not work if future_shapes: _pb = beam.select(frequencies=beam.freq_array[:1], inplace=False) freq_arr_use = _pb.freq_array else: _pb = beam.select(frequencies=beam.freq_array[0, :1], inplace=False) freq_arr_use = _pb.freq_array[0] try: interp_data, interp_basis_vector = _pb.interp(freq_array=freq_arr_use) except ValueError as err: raise AssertionError( "UVBeam.interp didn't return an array slice as expected" ) from err # test errors if one frequency beam_singlef = beam.select(freq_chans=[0], inplace=False) with pytest.raises( ValueError, match="Only one frequency in UVBeam so cannot interpolate." ): beam_singlef.interp(freq_array=np.array([150e6])) # assert freq_interp_kind ValueError beam.interpolation_function = "az_za_simple" beam.freq_interp_kind = None with pytest.raises( ValueError, match="freq_interp_kind must be set on object first" ): beam.interp( az_array=beam.axis1_array, za_array=beam.axis2_array, freq_array=freq_orig_vals, polarizations=["xx"], ) @pytest.mark.parametrize("future_shapes", [True, False]) def test_freq_interp_real_and_complex(future_shapes, cst_power_2freq): # test interpolation of real and complex data are the same power_beam = cst_power_2freq if future_shapes: power_beam.use_future_array_shapes() power_beam.interpolation_function = "az_za_simple" # make a new object with more frequencies freqs = np.linspace(123e6, 150e6, 4) power_beam.freq_interp_kind = "linear" optional_freq_params = [ "receiver_temperature_array", "loss_array", "mismatch_array", "s_parameters", ] exp_warnings = [] for param_name in optional_freq_params: exp_warnings.append( f"Input object has {param_name} defined but we do not " "currently support interpolating it in frequency. Returned " "object will not have it set to None." ) with uvtest.check_warnings(UserWarning, match=exp_warnings): pbeam = power_beam.interp(freq_array=freqs, new_object=True) # modulate the data pbeam.data_array[..., 1] *= 2 pbeam.data_array[..., 2] *= 0.5 # interpolate cubic on real data freqs = np.linspace(123e6, 150e6, 10) pbeam.freq_interp_kind = "cubic" pb_int = pbeam.interp(freq_array=freqs)[0] # interpolate cubic on complex data and compare to ensure they are the same pbeam.data_array = pbeam.data_array.astype(np.complex128) pb_int2 = pbeam.interp(freq_array=freqs)[0] assert np.all(np.isclose(np.abs(pb_int - pb_int2), 0)) @pytest.mark.parametrize("beam_type", ["efield", "power", "phased_array"]) def test_spatial_interpolation_samepoints( beam_type, cst_power_2freq_cut, cst_efield_2freq_cut, phased_array_beam_2freq ): """ check that interpolating to existing points gives the same answer """ if beam_type == "power": uvbeam = cst_power_2freq_cut elif beam_type == "efield": uvbeam = cst_efield_2freq_cut else: uvbeam = phased_array_beam_2freq za_orig_vals, az_orig_vals = np.meshgrid(uvbeam.axis2_array, uvbeam.axis1_array) az_orig_vals = az_orig_vals.ravel(order="C") za_orig_vals = za_orig_vals.ravel(order="C") freq_orig_vals = np.array([123e6, 150e6]) # test error if no interpolation function is set with pytest.raises( ValueError, match="interpolation_function must be set on object first" ): uvbeam.interp( az_array=az_orig_vals, za_array=za_orig_vals, freq_array=freq_orig_vals, ) uvbeam.interpolation_function = "az_za_simple" interp_data_array, interp_basis_vector = uvbeam.interp( az_array=az_orig_vals, za_array=za_orig_vals, freq_array=freq_orig_vals ) interp_data_array = interp_data_array.reshape(uvbeam.data_array.shape, order="F") assert np.allclose(uvbeam.data_array, interp_data_array) if beam_type == "efield": interp_basis_vector = interp_basis_vector.reshape( uvbeam.basis_vector_array.shape, order="F" ) assert np.allclose(uvbeam.basis_vector_array, interp_basis_vector) # test that new object from interpolation is identical optional_freq_params = [ "receiver_temperature_array", "loss_array", "mismatch_array", "s_parameters", ] exp_warnings = [] for param_name in optional_freq_params: exp_warnings.append( f"Input object has {param_name} defined but we do not " "currently support interpolating it in frequency. Returned " "object will not have it set to None." ) with uvtest.check_warnings(UserWarning, match=exp_warnings): new_beam = uvbeam.interp( az_array=uvbeam.axis1_array, za_array=uvbeam.axis2_array, az_za_grid=True, freq_array=freq_orig_vals, new_object=True, ) assert new_beam.freq_interp_kind == "nearest" assert new_beam.history == ( uvbeam.history + " Interpolated in " "frequency and to a new azimuth/zenith " "angle grid using pyuvdata with " "interpolation_function = az_za_simple " "and freq_interp_kind = nearest." ) # make histories & freq_interp_kind equal new_beam.history = uvbeam.history new_beam.freq_interp_kind = "linear" # add back optional params to get equality: for param_name in optional_freq_params: setattr(new_beam, param_name, getattr(uvbeam, param_name)) assert new_beam == uvbeam # test error if new_object set without az_za_grid with pytest.raises(ValueError, match="A new object can only be returned"): uvbeam.interp( az_array=az_orig_vals, za_array=za_orig_vals, freq_array=freq_orig_vals, new_object=True, ) if beam_type == "power": # test only a single polarization interp_data_array, interp_basis_vector = uvbeam.interp( az_array=az_orig_vals, za_array=za_orig_vals, freq_array=freq_orig_vals, polarizations=["xx"], ) data_array_compare = uvbeam.data_array[:, :, :1] interp_data_array = interp_data_array.reshape( data_array_compare.shape, order="F" ) assert np.allclose(data_array_compare, interp_data_array) @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize("beam_type", ["efield", "power"]) def test_spatial_interpolation_everyother( future_shapes, beam_type, cst_power_2freq_cut, cst_efield_2freq_cut ): """ test that interp to every other point returns an object that matches a select """ if beam_type == "power": uvbeam = cst_power_2freq_cut else: uvbeam = cst_efield_2freq_cut if future_shapes: uvbeam.use_future_array_shapes() uvbeam.interpolation_function = "az_za_simple" axis1_inds = np.arange(0, uvbeam.Naxes1, 2) axis2_inds = np.arange(0, uvbeam.Naxes2, 2) select_beam = uvbeam.select( axis1_inds=axis1_inds, axis2_inds=axis2_inds, inplace=False ) interp_beam = uvbeam.interp( az_array=uvbeam.axis1_array[axis1_inds], za_array=uvbeam.axis2_array[axis2_inds], az_za_grid=True, new_object=True, ) assert select_beam.history != interp_beam.history interp_beam.history = select_beam.history assert select_beam == interp_beam # test no errors using different points az_interp_vals = np.array( np.arange(0, 2 * np.pi, np.pi / 9.0).tolist() + np.arange(0, 2 * np.pi, np.pi / 9.0).tolist() ) za_interp_vals = np.array( (np.zeros((18)) + np.pi / 18).tolist() + (np.zeros((18)) + np.pi / 36).tolist() ) freq_interp_vals = np.arange(125e6, 145e6, 5e6) interp_data_array, interp_basis_vector = uvbeam.interp( az_array=az_interp_vals, za_array=za_interp_vals, freq_array=freq_interp_vals ) if beam_type == "power": # Test requesting separate polarizations on different calls # while reusing splines. interp_data_array, interp_basis_vector = uvbeam.interp( az_array=az_interp_vals[:2], za_array=za_interp_vals[:2], freq_array=freq_interp_vals, polarizations=["xx"], reuse_spline=True, ) interp_data_array, interp_basis_vector = uvbeam.interp( az_array=az_interp_vals[:2], za_array=za_interp_vals[:2], freq_array=freq_interp_vals, polarizations=["yy"], reuse_spline=True, ) # test reusing the spline fit. orig_data_array, interp_basis_vector = uvbeam.interp( az_array=az_interp_vals, za_array=za_interp_vals, freq_array=freq_interp_vals, reuse_spline=True, ) reused_data_array, interp_basis_vector = uvbeam.interp( az_array=az_interp_vals, za_array=za_interp_vals, freq_array=freq_interp_vals, reuse_spline=True, ) assert np.all(reused_data_array == orig_data_array) # test passing spline options spline_opts = {"kx": 4, "ky": 4} quartic_data_array, interp_basis_vector = uvbeam.interp( az_array=az_interp_vals, za_array=za_interp_vals, freq_array=freq_interp_vals, spline_opts=spline_opts, ) # slightly different interpolation, so not identical. assert np.allclose(quartic_data_array, orig_data_array, atol=1e-10) assert not np.all(quartic_data_array == orig_data_array) select_data_array_orig, interp_basis_vector = uvbeam.interp( az_array=az_interp_vals[0:1], za_array=za_interp_vals[0:1], freq_array=np.array([127e6]), ) select_data_array_reused, interp_basis_vector = uvbeam.interp( az_array=az_interp_vals[0:1], za_array=za_interp_vals[0:1], freq_array=np.array([127e6]), reuse_spline=True, ) assert np.allclose(select_data_array_orig, select_data_array_reused) del uvbeam.saved_interp_functions @pytest.mark.parametrize("beam_type", ["efield", "power"]) def test_spatial_interp_cutsky(beam_type, cst_power_2freq_cut, cst_efield_2freq_cut): """ Test that when the beam doesn't cover the full sky it still works. """ if beam_type == "power": uvbeam = cst_power_2freq_cut else: uvbeam = cst_efield_2freq_cut uvbeam.interpolation_function = "az_za_simple" # limit phi range axis1_inds = np.arange(0, np.ceil(uvbeam.Naxes1 / 2), dtype=int) axis2_inds = np.arange(0, uvbeam.Naxes2) uvbeam.select(axis1_inds=axis1_inds, axis2_inds=axis2_inds) # now do every other point test. axis1_inds = np.arange(0, uvbeam.Naxes1, 2) axis2_inds = np.arange(0, uvbeam.Naxes2, 2) select_beam = uvbeam.select( axis1_inds=axis1_inds, axis2_inds=axis2_inds, inplace=False ) interp_beam = uvbeam.interp( az_array=uvbeam.axis1_array[axis1_inds], za_array=uvbeam.axis2_array[axis2_inds], az_za_grid=True, new_object=True, ) assert select_beam.history != interp_beam.history interp_beam.history = select_beam.history assert select_beam == interp_beam def test_spatial_interpolation_errors(cst_power_2freq_cut): uvbeam = cst_power_2freq_cut uvbeam.interpolation_function = "az_za_simple" az_interp_vals = np.array( np.arange(0, 2 * np.pi, np.pi / 9.0).tolist() + np.arange(0, 2 * np.pi, np.pi / 9.0).tolist() ) za_interp_vals = np.array( (np.zeros((18)) + np.pi / 18).tolist() + (np.zeros((18)) + np.pi / 36).tolist() ) freq_interp_vals = np.arange(125e6, 145e6, 5e6) # test errors if frequency interp values outside range with pytest.raises( ValueError, match="at least one interpolation frequency is outside of " "the UVBeam freq_array range.", ): uvbeam.interp( az_array=az_interp_vals, za_array=za_interp_vals, freq_array=np.array([100]), ) # test errors if positions outside range with pytest.raises( ValueError, match="at least one interpolation location " "is outside of the UVBeam pixel coverage.", ): uvbeam.interp( az_array=az_interp_vals, za_array=za_interp_vals + np.pi / 2, ) # test no errors only frequency interpolation interp_data_array, interp_basis_vector = uvbeam.interp(freq_array=freq_interp_vals) # assert polarization value error with pytest.raises( ValueError, match="Requested polarization 1 not found in self.polarization_array", ): uvbeam.interp( az_array=az_interp_vals, za_array=za_interp_vals, polarizations=["pI"], ) # test error returning coupling matrix for simple antenna_types with pytest.raises( ValueError, match="return_coupling can only be set if antenna_type is phased_array", ): uvbeam.interp( az_array=az_interp_vals, za_array=za_interp_vals, return_coupling=True ) @pytest.mark.parametrize("beam_type", ["efield", "power"]) def test_interp_longitude_branch_cut(beam_type, cst_efield_2freq, cst_power_2freq): if beam_type == "power": beam = cst_power_2freq else: beam = cst_efield_2freq beam.interpolation_function = "az_za_simple" interp_data_array, interp_basis_vector = beam.interp( az_array=np.deg2rad( np.repeat(np.array([[-1], [359], [0], [360]]), 181, axis=1).flatten() ), za_array=np.repeat(beam.axis2_array[np.newaxis, :], 4, axis=0).flatten(), ) if beam_type == "power": npol_feed = beam.Npols else: npol_feed = beam.Nfeeds interp_data_array = interp_data_array.reshape( beam.Naxes_vec, beam.Nspws, npol_feed, beam.Nfreqs, 4, beam.Naxes2 ) assert np.allclose( interp_data_array[:, :, :, :, 0, :], interp_data_array[:, :, :, :, 1, :], rtol=beam._data_array.tols[0], atol=beam._data_array.tols[1], ) assert np.allclose( interp_data_array[:, :, :, :, 2, :], interp_data_array[:, :, :, :, 3, :], rtol=beam._data_array.tols[0], atol=beam._data_array.tols[1], ) def test_interp_healpix_nside(cst_efield_2freq, cst_efield_2freq_cut_healpix): efield_beam = cst_efield_2freq efield_beam.interpolation_function = "az_za_simple" # check nside calculation min_res = np.min( np.array( [np.diff(efield_beam.axis1_array)[0], np.diff(efield_beam.axis2_array)[0]] ) ) nside_min_res = np.sqrt(3 / np.pi) * np.radians(60.0) / min_res nside = int(2 ** np.ceil(np.log2(nside_min_res))) assert cst_efield_2freq_cut_healpix.nside == nside # check that calling without specifying hpx indices doesn't error # select every eighth point to make it smaller axis1_inds = np.arange(0, efield_beam.Naxes1, 8) axis2_inds = np.arange(0, efield_beam.Naxes2, 8) efield_beam.select(axis1_inds=axis1_inds, axis2_inds=axis2_inds) hpx_beam = efield_beam.interp(healpix_nside=64, new_object=True) assert hpx_beam.Npixels == 12 * hpx_beam.nside**2 def test_interp_healpix_errors(cst_efield_2freq_cut, cst_efield_2freq_cut_healpix): efield_beam = cst_efield_2freq_cut new_efield_beam = cst_efield_2freq_cut_healpix new_efield_beam.interpolation_function = "healpix_simple" # check error with cut sky with pytest.raises( ValueError, match="simple healpix interpolation requires full sky healpix maps." ): new_efield_beam.interp( az_array=efield_beam.axis1_array, za_array=efield_beam.axis2_array, az_za_grid=True, new_object=True, ) @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize("antenna_type", ["simple", "phased_array"]) def test_healpix_interpolation( future_shapes, antenna_type, cst_efield_2freq, phased_array_beam_2freq ): pytest.importorskip("astropy_healpix") if antenna_type == "simple": efield_beam = cst_efield_2freq else: efield_beam = phased_array_beam_2freq if future_shapes: efield_beam.use_future_array_shapes() efield_beam.interpolation_function = "az_za_simple" # select every fourth point to make it smaller axis1_inds = np.arange(0, efield_beam.Naxes1, 4) axis2_inds = np.arange(0, efield_beam.Naxes2, 4) efield_beam.select(axis1_inds=axis1_inds, axis2_inds=axis2_inds) hpx_efield_beam = efield_beam.to_healpix(inplace=False) # check that interpolating to existing points gives the same answer hpx_efield_beam.interpolation_function = "healpix_simple" hp_obj = HEALPix(nside=hpx_efield_beam.nside) hpx_lon, hpx_lat = hp_obj.healpix_to_lonlat(hpx_efield_beam.pixel_array) za_orig_vals = (Angle(np.pi / 2, units.radian) - hpx_lat).radian az_orig_vals = hpx_lon.radian az_orig_vals = az_orig_vals.ravel(order="C") za_orig_vals = za_orig_vals.ravel(order="C") freq_orig_vals = np.array([123e6, 150e6]) interp_data_array, _ = hpx_efield_beam.interp( az_array=az_orig_vals, za_array=za_orig_vals, freq_array=freq_orig_vals ) data_array_compare = hpx_efield_beam.data_array interp_data_array = interp_data_array.reshape(data_array_compare.shape, order="F") assert np.allclose(data_array_compare, interp_data_array) # test that interp to every other point returns an object that matches a select pixel_inds = np.arange(0, hpx_efield_beam.Npixels, 2) select_beam = hpx_efield_beam.select(pixels=pixel_inds, inplace=False) interp_beam = hpx_efield_beam.interp( healpix_inds=hpx_efield_beam.pixel_array[pixel_inds], healpix_nside=hpx_efield_beam.nside, new_object=True, ) assert select_beam.history != interp_beam.history interp_beam.history = select_beam.history assert select_beam == interp_beam # check history with interp healpix & freq message = [ f"Input object has {param_name} defined but we do not " "currently support interpolating it in frequency. Returned " "object will not have it set to None." for param_name in [ "receiver_temperature_array", "loss_array", "mismatch_array", "s_parameters", ] ] with uvtest.check_warnings(UserWarning, match=message): interp_beam = hpx_efield_beam.interp( healpix_inds=hpx_efield_beam.pixel_array[pixel_inds], healpix_nside=hpx_efield_beam.nside, freq_array=np.array([np.mean(freq_orig_vals)]), new_object=True, ) assert "Interpolated in frequency and to a new healpix grid" in interp_beam.history # test interp from healpix to regular az/za grid new_reg_beam = hpx_efield_beam.interp( az_array=efield_beam.axis1_array, za_array=efield_beam.axis2_array, az_za_grid=True, new_object=True, ) # this diff is pretty large. 2 rounds of interpolation is not a good thing. # but we can check that the rest of the object makes sense diff = new_reg_beam.data_array - efield_beam.data_array diff_ratio = diff / efield_beam.data_array assert np.all(np.abs(diff_ratio) < 4) # set data_array tolerances higher to test the rest of the object # tols are (relative, absolute) tols = [4, 0] new_reg_beam._data_array.tols = tols assert new_reg_beam.history != efield_beam.history new_reg_beam.history = efield_beam.history new_reg_beam.interpolation_function = "az_za_simple" assert new_reg_beam == efield_beam # test no inputs equals same answer interp_data_array2, _ = hpx_efield_beam.interp() assert np.allclose(interp_data_array, interp_data_array2) # test errors with specifying healpix_inds without healpix_nside hp_obj = HEALPix(nside=hpx_efield_beam.nside) with pytest.raises( ValueError, match="healpix_nside must be set if healpix_inds is set" ): hpx_efield_beam.interp( healpix_inds=np.arange(hp_obj.npix), freq_array=freq_orig_vals ) # test error setting both healpix_nside and az_array with pytest.raises( ValueError, match="healpix_nside and healpix_inds can not be set if az_array or " "za_array is set.", ): hpx_efield_beam.interp( healpix_nside=hpx_efield_beam.nside, az_array=az_orig_vals, za_array=za_orig_vals, freq_array=freq_orig_vals, ) # basis_vector exception hpx_efield_beam.basis_vector_array[0, 1, :] = 10.0 with pytest.raises( NotImplementedError, match="interpolation for input basis vectors that are not aligned to the " "native theta/phi coordinate system is not yet supported", ): hpx_efield_beam.interp( az_array=az_orig_vals, za_array=za_orig_vals, ) # now convert to power beam if antenna_type == "phased_array": with pytest.raises( NotImplementedError, match="Conversion to power is not yet implemented for phased_array", ): hpx_efield_beam.efield_to_power() return power_beam = hpx_efield_beam.efield_to_power(inplace=False) del hpx_efield_beam interp_data_array, _ = power_beam.interp( az_array=az_orig_vals, za_array=za_orig_vals, freq_array=freq_orig_vals ) data_array_compare = power_beam.data_array interp_data_array = interp_data_array.reshape(data_array_compare.shape, order="F") assert np.allclose(data_array_compare, interp_data_array) # test that interp to every other point returns an object that matches a select pixel_inds = np.arange(0, power_beam.Npixels, 2) select_beam = power_beam.select(pixels=pixel_inds, inplace=False) interp_beam = power_beam.interp( healpix_inds=power_beam.pixel_array[pixel_inds], healpix_nside=power_beam.nside, new_object=True, ) assert select_beam.history != interp_beam.history interp_beam.history = select_beam.history assert select_beam == interp_beam # assert not feeding frequencies gives same answer interp_data_array2, _ = power_beam.interp( az_array=az_orig_vals, za_array=za_orig_vals ) assert np.allclose(interp_data_array, interp_data_array2) # assert not feeding az_array gives same answer interp_data_array2, _ = power_beam.interp( az_array=az_orig_vals, za_array=za_orig_vals ) assert np.allclose(interp_data_array, interp_data_array2) # test requesting polarization gives the same answer interp_data_array2, _ = power_beam.interp( az_array=az_orig_vals, za_array=za_orig_vals, polarizations=["yy"] ) assert np.allclose( interp_data_array[..., 1:2, :, :], interp_data_array2[..., :1, :, :] ) # change complex data_array to real data_array and test again assert power_beam.data_array.dtype == np.complex128 power_beam.data_array = np.abs(power_beam.data_array) interp_data_array, _ = power_beam.interp( az_array=az_orig_vals, za_array=za_orig_vals, freq_array=freq_orig_vals ) data_array_compare = power_beam.data_array interp_data_array = interp_data_array.reshape(data_array_compare.shape, order="F") assert np.allclose(data_array_compare, interp_data_array) # assert polarization value error with pytest.raises( ValueError, match="Requested polarization 1 not found in self.polarization_array", ): power_beam.interp( az_array=az_orig_vals, za_array=za_orig_vals, polarizations=["pI"] ) # check error when pixels out of order if future_shapes: power_beam.pixel_array = power_beam.pixel_array[ np.argsort(power_beam.data_array[0, 0, 0, :]) ] else: power_beam.pixel_array = power_beam.pixel_array[ np.argsort(power_beam.data_array[0, 0, 0, 0, :]) ] with pytest.raises( ValueError, match="simple healpix interpolation requires healpix pixels to be in order.", ): power_beam.interp(az_array=az_orig_vals, za_array=za_orig_vals) # healpix coord exception power_beam.pixel_coordinate_system = "foo" with pytest.raises(ValueError, match='pixel_coordinate_system must be "healpix"'): power_beam.interp(az_array=az_orig_vals, za_array=za_orig_vals) @pytest.mark.parametrize( "start, stop", [ (-3 * np.pi, -2 * np.pi), (-np.pi, 0), (2 * np.pi, 3 * np.pi), (10 * np.pi, 11 * np.pi), ], ) @pytest.mark.parametrize("phi_start, phi_end", [(0, 2 * np.pi), (0, -2 * np.pi)]) def test_find_healpix_indices(start, stop, phi_start, phi_end): pytest.importorskip("astropy_healpix") hp_obj = HEALPix(nside=2) pixels = np.arange(hp_obj.npix) hpx_lon, hpx_lat = hp_obj.healpix_to_lonlat(pixels) hpx_theta = (Angle(np.pi / 2, units.radian) - hpx_lat).radian hpx_phi = hpx_lon.radian theta_vals1 = np.linspace(0, np.pi, 5, endpoint=True) theta_vals2 = np.linspace(start, stop, 5, endpoint=True) phi_vals = np.linspace(phi_start, phi_end, 10, endpoint=False) inds_to_use1 = _uvbeam.find_healpix_indices( np.ascontiguousarray(theta_vals1, dtype=np.float64), np.ascontiguousarray(phi_vals, dtype=np.float64), np.ascontiguousarray(hpx_theta, dtype=np.float64), np.ascontiguousarray(hpx_phi, dtype=np.float64), np.float64(hp_obj.pixel_resolution.to_value(units.radian)), ) inds_to_use2 = _uvbeam.find_healpix_indices( np.ascontiguousarray(theta_vals2, dtype=np.float64), np.ascontiguousarray(phi_vals, dtype=np.float64), np.ascontiguousarray(hpx_theta, dtype=np.float64), np.ascontiguousarray(hpx_phi, dtype=np.float64), np.float64(hp_obj.pixel_resolution.to_value(units.radian)), ) assert np.array_equal(np.sort(pixels[inds_to_use1]), np.sort(pixels[inds_to_use2])) @pytest.mark.parametrize("future_shapes", [True, False]) def test_to_healpix_power( future_shapes, cst_power_2freq_cut, cst_power_2freq_cut_healpix, ): power_beam = cst_power_2freq_cut power_beam_healpix = cst_power_2freq_cut_healpix if future_shapes: power_beam.use_future_array_shapes() power_beam_healpix.use_future_array_shapes() sky_area_reduction_factor = (1.0 - np.cos(np.deg2rad(10))) / 2.0 # check that history is updated appropriately assert power_beam_healpix.history == ( power_beam.history + " Interpolated from " + power_beam.coordinate_system_dict["az_za"]["description"] + " to " + power_beam.coordinate_system_dict["healpix"]["description"] + " using pyuvdata with interpolation_function = az_za_simple." ) hp_obj = HEALPix(nside=power_beam_healpix.nside) assert power_beam_healpix.Npixels <= hp_obj.npix * (sky_area_reduction_factor * 1.5) # test that Npixels make sense n_max_pix = power_beam.Naxes1 * power_beam.Naxes2 assert power_beam_healpix.Npixels <= n_max_pix # Test error if not az_za power_beam.interpolation_function = "az_za_simple" power_beam.pixel_coordinate_system = "sin_zenith" with pytest.raises(ValueError, match='pixel_coordinate_system must be "az_za"'): power_beam.to_healpix() @pytest.mark.parametrize("future_shapes", [True, False]) def test_to_healpix_efield( future_shapes, cst_efield_2freq_cut, cst_efield_2freq_cut_healpix, ): efield_beam = cst_efield_2freq_cut interp_then_sq = cst_efield_2freq_cut_healpix if future_shapes: efield_beam.use_future_array_shapes() interp_then_sq.use_future_array_shapes() interp_then_sq.efield_to_power(calc_cross_pols=False) # convert to power and then interpolate to compare. # Don't use power read from file because it has rounding errors that will # dominate this comparison efield_beam.interpolation_function = "az_za_simple" sq_then_interp = efield_beam.efield_to_power(calc_cross_pols=False, inplace=False) sq_then_interp.to_healpix(nside=interp_then_sq.nside) # square then interpolate is different from interpolate then square at a # higher level than normally allowed in the equality. # We can live with it for now, may need to improve it later diff = np.abs(interp_then_sq.data_array - sq_then_interp.data_array) assert np.max(diff) < 0.6 reldiff = diff * 2 / np.abs(interp_then_sq.data_array + sq_then_interp.data_array) assert np.max(reldiff) < 0.005 # set data_array tolerances higher to test the rest of the object # tols are (relative, absolute) tols = [0.05, 0] sq_then_interp._data_array.tols = tols # check history changes interp_history_add = ( " Interpolated from " + efield_beam.coordinate_system_dict["az_za"]["description"] + " to " + efield_beam.coordinate_system_dict["healpix"]["description"] + " using pyuvdata with interpolation_function = az_za_simple." ) sq_history_add = " Converted from efield to power using pyuvdata." assert ( sq_then_interp.history == efield_beam.history + sq_history_add + interp_history_add ) assert ( interp_then_sq.history == efield_beam.history + interp_history_add + sq_history_add ) # now change history on one so we can compare the rest of the object sq_then_interp.history = efield_beam.history + interp_history_add + sq_history_add assert sq_then_interp == interp_then_sq @pytest.mark.parametrize("future_shapes", [True, False]) def test_select_axis(future_shapes, cst_power_1freq, tmp_path): power_beam = cst_power_1freq if future_shapes: power_beam.use_future_array_shapes() old_history = power_beam.history # Test selecting on axis1 inds1_to_keep = np.arange(14, 63) power_beam2 = power_beam.select(axis1_inds=inds1_to_keep, inplace=False) assert len(inds1_to_keep) == power_beam2.Naxes1 for i in inds1_to_keep: assert power_beam.axis1_array[i] in power_beam2.axis1_array for i in np.unique(power_beam2.axis1_array): assert i in power_beam.axis1_array assert uvutils._check_histories( old_history + " Downselected to " "specific parts of first image axis " "using pyuvdata.", power_beam2.history, ) write_file_beamfits = str(tmp_path / "select_beam.fits") # test writing beamfits with only one element in axis1 inds_to_keep = [len(inds1_to_keep) + 1] power_beam2 = power_beam.select(axis1_inds=inds_to_keep, inplace=False) power_beam2.write_beamfits(write_file_beamfits, clobber=True) # check for errors associated with indices not included in data with pytest.raises(ValueError, match="axis1_inds must be > 0 and < Naxes1"): power_beam2.select(axis1_inds=[power_beam.Naxes1 - 1]) # check for warnings and errors associated with unevenly spaced image pixels power_beam2 = power_beam.copy() with uvtest.check_warnings( UserWarning, "Selected values along first image axis are not evenly spaced" ): power_beam2.select(axis1_inds=[0, 5, 6]) with pytest.raises( ValueError, match="The pixels are not evenly spaced along first axis. " "The beam fits format does not support unevenly spaced pixels.", ): power_beam2.write_beamfits(write_file_beamfits) # Test selecting on axis2 inds2_to_keep = np.arange(5, 14) power_beam2 = power_beam.select(axis2_inds=inds2_to_keep, inplace=False) assert len(inds2_to_keep) == power_beam2.Naxes2 for i in inds2_to_keep: assert power_beam.axis2_array[i] in power_beam2.axis2_array for i in np.unique(power_beam2.axis2_array): assert i in power_beam.axis2_array assert uvutils._check_histories( old_history + " Downselected to " "specific parts of second image axis " "using pyuvdata.", power_beam2.history, ) write_file_beamfits = str(tmp_path / "select_beam.fits") # test writing beamfits with only one element in axis2 inds_to_keep = [len(inds2_to_keep) + 1] power_beam2 = power_beam.select(axis2_inds=inds_to_keep, inplace=False) power_beam2.write_beamfits(write_file_beamfits, clobber=True) # check for errors associated with indices not included in data with pytest.raises(ValueError, match="axis2_inds must be > 0 and < Naxes2"): power_beam2.select(axis2_inds=[power_beam.Naxes2 - 1]) # check for warnings and errors associated with unevenly spaced image pixels power_beam2 = power_beam.copy() with uvtest.check_warnings( UserWarning, "Selected values along second image axis are not evenly spaced" ): power_beam2.select(axis2_inds=[0, 5, 6]) with pytest.raises( ValueError, match="The pixels are not evenly spaced along second axis. " "The beam fits format does not support unevenly spaced pixels.", ): power_beam2.write_beamfits(write_file_beamfits) @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize("antenna_type", ["simple", "phased_array"]) def test_select_frequencies( future_shapes, antenna_type, cst_power_1freq, phased_array_beam_1freq, tmp_path ): if antenna_type == "simple": beam = cst_power_1freq else: beam = phased_array_beam_1freq if future_shapes: beam.use_future_array_shapes() # generate more frequencies for testing by copying and adding several times while beam.Nfreqs < 8: new_beam = beam.copy() new_beam.freq_array = beam.freq_array + beam.Nfreqs * 1e6 beam += new_beam old_history = beam.history if future_shapes: freqs_to_keep = beam.freq_array[np.arange(2, 7)] else: freqs_to_keep = beam.freq_array[0, np.arange(2, 7)] beam2 = beam.select(frequencies=freqs_to_keep, inplace=False) assert len(freqs_to_keep) == beam2.Nfreqs for f in freqs_to_keep: assert f in beam2.freq_array for f in np.unique(beam2.freq_array): assert f in freqs_to_keep assert uvutils._check_histories( old_history + " Downselected to specific frequencies using pyuvdata.", beam2.history, ) write_file_beamfits = str(tmp_path / "select_beam.fits") # test writing beamfits with only one frequency if future_shapes: freqs_to_keep = beam.freq_array[5] else: freqs_to_keep = beam.freq_array[0, 5] beam2 = beam.select(frequencies=freqs_to_keep, inplace=False) if antenna_type == "simple": beam2.write_beamfits(write_file_beamfits, clobber=True) freq_select = np.max(beam.freq_array) + 10 # check for errors associated with frequencies not included in data with pytest.raises( ValueError, match="Frequency {f} is not present in the freq_array".format(f=freq_select), ): beam.select(frequencies=[freq_select]) # check for warnings and errors associated with unevenly spaced frequencies if antenna_type == "simple": beam2 = beam.copy() if future_shapes: freqs_to_keep = beam.freq_array[[0, 5, 6]] else: freqs_to_keep = beam.freq_array[0, [0, 5, 6]] with uvtest.check_warnings( UserWarning, "Selected frequencies are not evenly spaced" ): beam2.select(frequencies=freqs_to_keep) with pytest.raises(ValueError, match="The frequencies are not evenly spaced "): beam2.write_beamfits(write_file_beamfits) # Test selecting on freq_chans chans_to_keep = np.arange(2, 7) beam2 = beam.select(freq_chans=chans_to_keep, inplace=False) assert len(chans_to_keep) == beam2.Nfreqs if future_shapes: for chan in chans_to_keep: assert beam.freq_array[chan] in beam2.freq_array for f in np.unique(beam2.freq_array): assert f in beam.freq_array[chans_to_keep] else: for chan in chans_to_keep: assert beam.freq_array[0, chan] in beam2.freq_array for f in np.unique(beam2.freq_array): assert f in beam.freq_array[0, chans_to_keep] assert uvutils._check_histories( old_history + " Downselected to specific frequencies using pyuvdata.", beam2.history, ) # Test selecting both channels and frequencies if future_shapes: freqs_to_keep = beam.freq_array[np.arange(6, 8)] # Overlaps with chans else: freqs_to_keep = beam.freq_array[0, np.arange(6, 8)] # Overlaps with chans all_chans_to_keep = np.arange(2, 8) beam2 = beam.select( frequencies=freqs_to_keep, freq_chans=chans_to_keep, inplace=False ) assert len(all_chans_to_keep) == beam2.Nfreqs if future_shapes: for chan in all_chans_to_keep: assert beam.freq_array[chan] in beam2.freq_array for f in np.unique(beam2.freq_array): assert f in beam.freq_array[all_chans_to_keep] else: for chan in all_chans_to_keep: assert beam.freq_array[0, chan] in beam2.freq_array for f in np.unique(beam2.freq_array): assert f in beam.freq_array[0, all_chans_to_keep] @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize("antenna_type", ["simple", "phased_array"]) def test_select_feeds( future_shapes, antenna_type, cst_efield_1freq, phased_array_beam_2freq ): if antenna_type == "simple": efield_beam = cst_efield_1freq else: efield_beam = phased_array_beam_2freq if future_shapes: efield_beam.use_future_array_shapes() old_history = efield_beam.history feeds_to_keep = ["x"] if antenna_type == "phased_array": expected_warning = UserWarning warn_msg = ( "Downselecting feeds on phased array beams will lead to loss of information" ) else: expected_warning = None warn_msg = "" with uvtest.check_warnings(expected_warning, match=warn_msg): efield_beam2 = efield_beam.select(feeds=feeds_to_keep, inplace=False) assert len(feeds_to_keep) == efield_beam2.Nfeeds for f in feeds_to_keep: assert f in efield_beam2.feed_array for f in np.unique(efield_beam2.feed_array): assert f in feeds_to_keep assert uvutils._check_histories( old_history + " Downselected to specific feeds using pyuvdata.", efield_beam2.history, ) # check with physical orientation strings: with uvtest.check_warnings(expected_warning, match=warn_msg): efield_beam3 = efield_beam.select(feeds=["e"], inplace=False) assert efield_beam2 == efield_beam3 # check for errors associated with feeds not included in data with pytest.raises( ValueError, match="Feed {f} is not present in the feed_array".format(f="p") ): with uvtest.check_warnings(expected_warning, match=warn_msg): efield_beam.select(feeds=["p"]) # check for error with selecting polarizations on efield beams with pytest.raises( ValueError, match="polarizations cannot be used with efield beams" ): with uvtest.check_warnings(expected_warning, match=warn_msg): efield_beam.select(polarizations=[-5, -6]) # Test check basis vectors efield_beam.basis_vector_array[0, 1, :, :] = 1.0 with pytest.raises( ValueError, match="basis vectors must have lengths of 1 or less." ): efield_beam.check() efield_beam.basis_vector_array[0, 0, :, :] = np.sqrt(0.5) efield_beam.basis_vector_array[0, 1, :, :] = np.sqrt(0.5) assert efield_beam.check() efield_beam.basis_vector_array = None with pytest.raises( ValueError, match="Required UVParameter _basis_vector_array has not been set." ): efield_beam.check() @pytest.mark.filterwarnings("ignore:Fixing auto polarization power beams") @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize( "pols_to_keep", ([-5, -6], ["xx", "yy"], ["nn", "ee"], [[-5, -6]]) ) def test_select_polarizations(future_shapes, pols_to_keep, cst_efield_1freq): # generate more polarizations for testing by using efield and keeping cross-pols power_beam = cst_efield_1freq if future_shapes: power_beam.use_future_array_shapes() power_beam.efield_to_power() old_history = power_beam.history power_beam2 = power_beam.select(polarizations=pols_to_keep, inplace=False) if isinstance(pols_to_keep[0], list): pols_to_keep = pols_to_keep[0] assert len(pols_to_keep) == power_beam2.Npols for p in pols_to_keep: if isinstance(p, int): assert p in power_beam2.polarization_array else: assert ( uvutils.polstr2num(p, x_orientation=power_beam2.x_orientation) in power_beam2.polarization_array ) for p in np.unique(power_beam2.polarization_array): if isinstance(pols_to_keep[0], int): assert p in pols_to_keep else: assert p in uvutils.polstr2num( pols_to_keep, x_orientation=power_beam2.x_orientation ) assert uvutils._check_histories( old_history + " Downselected to specific polarizations using pyuvdata.", power_beam2.history, ) @pytest.mark.filterwarnings("ignore:Fixing auto polarization power beams") def test_select_polarizations_errors(cst_efield_1freq): # generate more polarizations for testing by using efield and keeping cross-pols power_beam = cst_efield_1freq power_beam.efield_to_power() # check for errors associated with polarizations not included in data with pytest.raises( ValueError, match="polarization {p} is not present in the polarization_array".format(p=-3), ): power_beam.select(polarizations=[-3, -4]) # check for warnings and errors associated with unevenly spaced polarizations with uvtest.check_warnings( UserWarning, "Selected polarizations are not evenly spaced" ): power_beam.select(polarizations=power_beam.polarization_array[[0, 1, 3]]) write_file_beamfits = os.path.join(DATA_PATH, "test/select_beam.fits") with pytest.raises( ValueError, match="The polarization values are not evenly spaced " ): power_beam.write_beamfits(write_file_beamfits) # check for error with selecting on feeds on power beams with pytest.raises(ValueError, match="feeds cannot be used with power beams"): power_beam.select(feeds=["x"]) # check for error with complex auto pols power_beam.data_array[:, :, 0] = power_beam.data_array[:, :, 2] with uvtest.check_warnings( UserWarning, match="Polarization select should result in a real array but the " "imaginary part is not zero.", ): with pytest.raises( ValueError, match="UVParameter _data_array is not the appropriate type" ): power_beam.select(polarizations=[-5, -6]) @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize("beam_type", ["efield", "power"]) def test_select(future_shapes, beam_type, cst_power_1freq, cst_efield_1freq): if beam_type == "efield": beam = cst_efield_1freq else: beam = cst_power_1freq if future_shapes: beam.use_future_array_shapes() # generate more frequencies for testing by copying and adding new_beam = beam.copy() new_beam.freq_array = beam.freq_array + beam.Nfreqs * 1e6 beam += new_beam # now test selecting along all axes at once old_history = beam.history inds1_to_keep = np.arange(14, 63) inds2_to_keep = np.arange(5, 14) if future_shapes: freqs_to_keep = [beam.freq_array[0]] else: freqs_to_keep = [beam.freq_array[0, 0]] if beam_type == "efield": feeds_to_keep = ["x"] pols_to_keep = None else: pols_to_keep = [-5] feeds_to_keep = None beam2 = beam.select( axis1_inds=inds1_to_keep, axis2_inds=inds2_to_keep, frequencies=freqs_to_keep, polarizations=pols_to_keep, feeds=feeds_to_keep, inplace=False, ) assert len(inds1_to_keep) == beam2.Naxes1 for i in inds1_to_keep: assert beam.axis1_array[i] in beam2.axis1_array for i in np.unique(beam2.axis1_array): assert i in beam.axis1_array assert len(inds2_to_keep) == beam2.Naxes2 for i in inds2_to_keep: assert beam.axis2_array[i] in beam2.axis2_array for i in np.unique(beam2.axis2_array): assert i in beam.axis2_array assert len(freqs_to_keep) == beam2.Nfreqs for f in freqs_to_keep: assert f in beam2.freq_array for f in np.unique(beam2.freq_array): assert f in freqs_to_keep if beam_type == "efield": assert len(feeds_to_keep) == beam2.Nfeeds for f in feeds_to_keep: assert f in beam2.feed_array for f in np.unique(beam2.feed_array): assert f in feeds_to_keep assert uvutils._check_histories( old_history + " Downselected to " "specific parts of first image axis, " "parts of second image axis, " "frequencies, feeds using pyuvdata.", beam2.history, ) else: assert len(pols_to_keep) == beam2.Npols for p in pols_to_keep: assert p in beam2.polarization_array for p in np.unique(beam2.polarization_array): assert p in pols_to_keep assert uvutils._check_histories( old_history + " Downselected to " "specific parts of first image axis, " "parts of second image axis, " "frequencies, polarizations using pyuvdata.", beam2.history, ) @pytest.mark.parametrize("future_shapes", [True, False]) def test_add_axis1(future_shapes, power_beam_for_adding): power_beam = power_beam_for_adding if future_shapes: power_beam.use_future_array_shapes() # Add along first image axis beam1 = power_beam.select(axis1_inds=np.arange(0, 180), inplace=False) beam2 = power_beam.select(axis1_inds=np.arange(180, 360), inplace=False) beam1 += beam2 # Check history is correct, before replacing and doing a full object check assert uvutils._check_histories( power_beam.history + " Downselected to specific parts of " "first image axis using pyuvdata. " "Combined data along first image axis " "using pyuvdata.", beam1.history, ) beam1.history = power_beam.history assert beam1 == power_beam # Out of order - axis1 beam1 = power_beam.select(axis1_inds=np.arange(180, 360), inplace=False) beam2 = power_beam.select(axis1_inds=np.arange(0, 180), inplace=False) beam1 += beam2 beam1.history = power_beam.history assert beam1 == power_beam @pytest.mark.parametrize("future_shapes", [True, False]) def test_add_axis2(future_shapes, power_beam_for_adding): power_beam = power_beam_for_adding if future_shapes: power_beam.use_future_array_shapes() # Add along second image axis beam1 = power_beam.select(axis2_inds=np.arange(0, 90), inplace=False) beam2 = power_beam.select(axis2_inds=np.arange(90, 181), inplace=False) beam1 += beam2 # Check history is correct, before replacing and doing a full object check assert uvutils._check_histories( power_beam.history + " Downselected to specific parts of " "second image axis using pyuvdata. " "Combined data along second image axis " "using pyuvdata.", beam1.history, ) beam1.history = power_beam.history assert beam1 == power_beam # Out of order - axis2 beam1 = power_beam.select(axis2_inds=np.arange(90, 181), inplace=False) beam2 = power_beam.select(axis2_inds=np.arange(0, 90), inplace=False) beam1 += beam2 beam1.history = power_beam.history assert beam1 == power_beam @pytest.mark.parametrize("future_shapes", [True, False]) def test_add_frequencies(future_shapes, power_beam_for_adding): power_beam = power_beam_for_adding if future_shapes: power_beam.use_future_array_shapes() # Add frequencies beam1 = power_beam.select(freq_chans=0, inplace=False) beam2 = power_beam.select(freq_chans=1, inplace=False) beam1 += beam2 # Check history is correct, before replacing and doing a full object check assert uvutils._check_histories( power_beam.history + " Downselected to specific frequencies " "using pyuvdata. Combined data along " "frequency axis using pyuvdata.", beam1.history, ) beam1.history = power_beam.history assert beam1 == power_beam # Out of order - freqs beam1 = power_beam.select(freq_chans=1, inplace=False) beam2 = power_beam.select(freq_chans=0, inplace=False) beam1 += beam2 beam1.history = power_beam.history assert beam1 == power_beam @pytest.mark.parametrize("future_shapes", [True, False]) def test_add_pols(future_shapes, power_beam_for_adding): power_beam = power_beam_for_adding if future_shapes: power_beam.use_future_array_shapes() # Add polarizations beam1 = power_beam.select(polarizations=-5, inplace=False) beam2 = power_beam.select(polarizations=-6, inplace=False) beam1 += beam2 assert uvutils._check_histories( power_beam.history + " Downselected to specific polarizations " "using pyuvdata. Combined data along " "polarization axis using pyuvdata.", beam1.history, ) beam1.history = power_beam.history assert beam1 == power_beam # Out of order - pols beam1 = power_beam.select(polarizations=-6, inplace=False) beam2 = power_beam.select(polarizations=-5, inplace=False) beam1 += beam2 beam1.history = power_beam.history assert beam1 == power_beam @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize("antenna_type", ["simple", "phased_array"]) def test_add_feeds( future_shapes, antenna_type, efield_beam_for_adding, phased_array_beam_2freq ): if antenna_type == "simple": efield_beam = efield_beam_for_adding else: efield_beam = phased_array_beam_2freq if future_shapes: efield_beam.use_future_array_shapes() if antenna_type == "phased_array": expected_warning = UserWarning warn_msg = ( "Downselecting feeds on phased array beams will lead to loss of information" ) else: expected_warning = None warn_msg = "" with uvtest.check_warnings(expected_warning, match=warn_msg): beam1 = efield_beam.select(feeds=efield_beam.feed_array[0], inplace=False) with uvtest.check_warnings(expected_warning, match=warn_msg): beam2 = efield_beam.select(feeds=efield_beam.feed_array[1], inplace=False) beam1 += beam2 assert uvutils._check_histories( efield_beam.history + " Downselected to specific feeds " "using pyuvdata. Combined data along " "feed axis using pyuvdata.", beam1.history, ) beam1.history = efield_beam.history if antenna_type == "phased_array": # coupling matrix won't match because info is lost on cross-feed coupling assert not np.allclose(beam1.coupling_matrix, efield_beam.coupling_matrix) beam1.coupling_matrix[:, :, 0, 1] = efield_beam.coupling_matrix[:, :, 0, 1] beam1.coupling_matrix[:, :, 1, 0] = efield_beam.coupling_matrix[:, :, 1, 0] assert beam1 == efield_beam # Out of order - feeds with uvtest.check_warnings(expected_warning, match=warn_msg): beam1 = efield_beam.select(feeds=efield_beam.feed_array[1], inplace=False) with uvtest.check_warnings(expected_warning, match=warn_msg): beam2 = efield_beam.select(feeds=efield_beam.feed_array[0], inplace=False) beam1 += beam2 beam1.history = efield_beam.history if antenna_type == "phased_array": # coupling matrix won't match because info is lost on cross-feed coupling assert not np.allclose(beam1.coupling_matrix, efield_beam.coupling_matrix) beam1.coupling_matrix[:, :, 0, 1] = efield_beam.coupling_matrix[:, :, 0, 1] beam1.coupling_matrix[:, :, 1, 0] = efield_beam.coupling_matrix[:, :, 1, 0] assert beam1 == efield_beam def test_add_multi_power(power_beam_for_adding): power_beam = power_beam_for_adding # Add multiple axes beam_ref = power_beam.copy() beam1 = power_beam.select( axis1_inds=np.arange(0, power_beam.Naxes1 // 2), polarizations=power_beam.polarization_array[0], inplace=False, ) beam2 = power_beam.select( axis1_inds=np.arange(power_beam.Naxes1 // 2, power_beam.Naxes1), polarizations=power_beam.polarization_array[1], inplace=False, ) beam1 += beam2 assert uvutils._check_histories( power_beam.history + " Downselected to specific parts of " "first image axis, polarizations using " "pyuvdata. Combined data along first " "image, polarization axis using pyuvdata.", beam1.history, ) # Zero out missing data in reference object beam_ref.data_array[:, :, 0, :, :, power_beam.Naxes1 // 2 :] = 0.0 beam_ref.data_array[:, :, 1, :, :, : power_beam.Naxes1 // 2] = 0.0 beam1.history = power_beam.history assert beam1 == beam_ref def test_add_multi_efield(efield_beam_for_adding): efield_beam = efield_beam_for_adding # Another combo with efield beam_ref = efield_beam.copy() beam1 = efield_beam.select( axis1_inds=np.arange(0, efield_beam.Naxes1 // 2), axis2_inds=np.arange(0, efield_beam.Naxes2 // 2), inplace=False, ) beam2 = efield_beam.select( axis1_inds=np.arange(efield_beam.Naxes1 // 2, efield_beam.Naxes1), axis2_inds=np.arange(efield_beam.Naxes2 // 2, efield_beam.Naxes2), inplace=False, ) beam1 += beam2 assert uvutils._check_histories( efield_beam.history + " Downselected to specific parts of " "first image axis, parts of second " "image axis using pyuvdata. Combined " "data along first image, second image " "axis using pyuvdata.", beam1.history, ) # Zero out missing data in reference object beam_ref.data_array[ :, :, :, :, : efield_beam.Naxes2 // 2, efield_beam.Naxes1 // 2 : ] = 0.0 beam_ref.data_array[ :, :, :, :, efield_beam.Naxes2 // 2 :, : efield_beam.Naxes1 // 2 ] = 0.0 beam_ref.basis_vector_array[ :, :, : efield_beam.Naxes2 // 2, efield_beam.Naxes1 // 2 : ] = 0.0 beam_ref.basis_vector_array[ :, :, efield_beam.Naxes2 // 2 :, : efield_beam.Naxes1 // 2 ] = 0.0 beam1.history = efield_beam.history assert beam1, beam_ref def test_add_warnings(cross_power_beam_for_adding): power_beam = cross_power_beam_for_adding beam1 = power_beam.select(freq_chans=np.arange(0, 4), inplace=False) beam2 = power_beam.select(freq_chans=np.arange(5, 8), inplace=False) with uvtest.check_warnings( UserWarning, "Combined frequencies are not evenly spaced" ): beam1.__add__(beam2) power_beam.receiver_temperature_array = np.ones((1, 8)) beam1 = power_beam.select( polarizations=power_beam.polarization_array[0:2], inplace=False ) beam2 = power_beam.select( polarizations=power_beam.polarization_array[3], inplace=False ) with uvtest.check_warnings( UserWarning, "Combined polarizations are not evenly spaced" ): beam1.__iadd__(beam2) beam1 = power_beam.select( polarizations=power_beam.polarization_array[0:2], inplace=False ) beam2 = power_beam.select( polarizations=power_beam.polarization_array[2:3], inplace=False ) beam2.receiver_temperature_array = None assert beam1.receiver_temperature_array is not None with uvtest.check_warnings( UserWarning, "Only one of the UVBeam objects being combined has optional parameter", ): beam1 += beam2 assert beam1.receiver_temperature_array is None @pytest.mark.parametrize("use_double", [True, False]) def test_add_cross_power(cross_power_beam_for_adding, use_double): power_beam = cross_power_beam_for_adding beam1 = power_beam.select( polarizations=power_beam.polarization_array[0:2], inplace=False ) beam2 = power_beam.select( polarizations=power_beam.polarization_array[2:4], inplace=False ) if not use_double: beam1.data_array = beam1.data_array.astype(np.float32) beam2.data_array = beam2.data_array.astype(np.complex64) beam2.history += " testing the history. Read/written with pyuvdata" new_beam = beam1 + beam2 assert uvutils._check_histories( power_beam.history + " Downselected to specific polarizations using pyuvdata. " "Combined data along polarization axis using pyuvdata. Unique part of next " "object history follows. testing the history.", new_beam.history, ) new_beam.history = power_beam.history assert new_beam == power_beam new_beam = beam1.__add__(beam2, verbose_history=True) assert uvutils._check_histories( power_beam.history + " Downselected to specific polarizations using pyuvdata. " "Combined data along polarization axis using pyuvdata. Next object history " "follows. " + beam2.history, new_beam.history, ) def test_add_errors(power_beam_for_adding, efield_beam_for_adding): power_beam = power_beam_for_adding efield_beam = efield_beam_for_adding # Wrong class beam1 = power_beam.copy() with pytest.raises(ValueError, match="Only UVBeam "): beam1.__iadd__(np.zeros(5)) params_to_change = { "beam_type": "efield", "data_normalization": "solid_angle", "telescope_name": "foo", "feed_name": "foo", "feed_version": "v12", "model_name": "foo", "model_version": "v12", "pixel_coordinate_system": "sin_zenith", "Naxes_vec": 3, "nside": 16, "ordering": "nested", } beam1 = power_beam.select(freq_chans=0, inplace=False) beam2 = power_beam.select(freq_chans=1, inplace=False) for param, value in params_to_change.items(): beam1_copy = beam1.copy() if param == "beam_type": beam2_copy = efield_beam.select(freq_chans=1, inplace=False) elif param == "Naxes_vec": beam2_copy = beam2.copy() beam2_copy.Naxes_vec = value beam2_copy.data_array = np.concatenate( (beam2_copy.data_array, beam2_copy.data_array, beam2_copy.data_array) ) else: beam2_copy = beam2.copy() setattr(beam2_copy, param, value) with pytest.raises( ValueError, match=f"UVParameter {param} does not match. Cannot combine objects.", ): beam1_copy.__iadd__(beam2_copy) # different future shapes beam1_copy = beam1.copy() beam2_copy = beam2.copy() beam2_copy.use_future_array_shapes() with pytest.raises( ValueError, match="Both objects must have the same `future_array_shapes` parameter.", ): beam1_copy.__iadd__(beam2_copy) del beam1_copy del beam2_copy # Overlapping data beam2 = power_beam.copy() with pytest.raises( ValueError, match="These objects have overlapping data and cannot be combined." ): beam1.__iadd__(beam2) @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize("beam_type", ["efield", "power"]) def test_select_healpix_pixels( future_shapes, beam_type, cst_power_1freq_cut_healpix, cst_efield_1freq_cut_healpix, tmp_path, ): if beam_type == "power": beam_healpix = cst_power_1freq_cut_healpix else: beam_healpix = cst_efield_1freq_cut_healpix if future_shapes: beam_healpix.use_future_array_shapes() old_history = beam_healpix.history pixels_to_keep = np.arange(31, 184) beam_healpix2 = beam_healpix.select(pixels=pixels_to_keep, inplace=False) assert len(pixels_to_keep) == beam_healpix2.Npixels for pi in pixels_to_keep: assert pi in beam_healpix2.pixel_array for pi in np.unique(beam_healpix2.pixel_array): assert pi in pixels_to_keep assert uvutils._check_histories( old_history + " Downselected to specific healpix pixels using pyuvdata.", beam_healpix2.history, ) write_file_beamfits = str(tmp_path / "select_beam.fits") # test writing beamfits with only one pixel pixels_to_keep = [43] beam_healpix2 = beam_healpix.select(pixels=pixels_to_keep, inplace=False) beam_healpix2.write_beamfits(write_file_beamfits, clobber=True) # check for errors associated with pixels not included in data pixel_select = 12 * beam_healpix.nside**2 + 10 with pytest.raises( ValueError, match="Pixel {p} is not present in the pixel_array".format(p=pixel_select), ): beam_healpix.select(pixels=[pixel_select]) # test writing beamfits with non-contiguous pixels pixels_to_keep = np.arange(2, 150, 4) beam_healpix2 = beam_healpix.select(pixels=pixels_to_keep, inplace=False) beam_healpix2.write_beamfits(write_file_beamfits, clobber=True) # ----------------- # check for errors selecting axis1_inds on healpix beams inds1_to_keep = np.arange(14, 63) with pytest.raises( ValueError, match="axis1_inds cannot be used with healpix coordinate system" ): beam_healpix.select(axis1_inds=inds1_to_keep) # check for errors selecting axis2_inds on healpix beams inds2_to_keep = np.arange(5, 14) with pytest.raises( ValueError, match="axis2_inds cannot be used with healpix coordinate system" ): beam_healpix.select(axis2_inds=inds2_to_keep) # ------------------------ # test selecting along all axes at once for healpix beams if future_shapes: freqs_to_keep = [beam_healpix.freq_array[0]] else: freqs_to_keep = [beam_healpix.freq_array[0, 0]] if beam_type == "efield": feeds_to_keep = ["x"] pols_to_keep = None else: pols_to_keep = [-5] feeds_to_keep = None beam_healpix2 = beam_healpix.select( pixels=pixels_to_keep, frequencies=freqs_to_keep, polarizations=pols_to_keep, feeds=feeds_to_keep, inplace=False, ) assert len(pixels_to_keep) == beam_healpix2.Npixels for pi in pixels_to_keep: assert pi in beam_healpix2.pixel_array for pi in np.unique(beam_healpix2.pixel_array): assert pi in pixels_to_keep assert len(freqs_to_keep) == beam_healpix2.Nfreqs for f in freqs_to_keep: assert f in beam_healpix2.freq_array for f in np.unique(beam_healpix2.freq_array): assert f in freqs_to_keep if beam_type == "efield": assert len(feeds_to_keep) == beam_healpix2.Nfeeds for f in feeds_to_keep: assert f in beam_healpix2.feed_array for f in np.unique(beam_healpix2.feed_array): assert f in feeds_to_keep else: assert len(pols_to_keep) == beam_healpix2.Npols for p in pols_to_keep: assert p in beam_healpix2.polarization_array for p in np.unique(beam_healpix2.polarization_array): assert p in pols_to_keep if beam_type == "efield": history_add = "feeds" else: history_add = "polarizations" assert uvutils._check_histories( old_history + " Downselected to " "specific healpix pixels, frequencies, " f"{history_add} using pyuvdata.", beam_healpix2.history, ) @pytest.mark.parametrize("beam_type", ["efield", "power"]) def test_select_healpix_pixels_error( beam_type, cst_power_2freq_cut, cst_efield_2freq_cut ): if beam_type == "power": beam = cst_power_2freq_cut else: beam = cst_efield_2freq_cut # check for errors selecting pixels on non-healpix beams with pytest.raises( ValueError, match="pixels can only be used with healpix coordinate system" ): beam.select(pixels=np.arange(31, 184)) @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize("beam_type", ["efield", "power"]) def test_add_healpix( future_shapes, beam_type, cst_power_2freq_cut_healpix, cst_efield_2freq_cut_healpix ): if beam_type == "power": beam_healpix = cst_power_2freq_cut_healpix else: beam_healpix = cst_efield_2freq_cut_healpix if future_shapes: beam_healpix.use_future_array_shapes() # Test adding a different combo with healpix beam_ref = beam_healpix.copy() beam1 = beam_healpix.select( pixels=beam_healpix.pixel_array[0 : beam_healpix.Npixels // 2], freq_chans=0, inplace=False, ) beam2 = beam_healpix.select( pixels=beam_healpix.pixel_array[beam_healpix.Npixels // 2 :], freq_chans=1, inplace=False, ) beam1 += beam2 assert uvutils._check_histories( beam_healpix.history + " Downselected to specific healpix " "pixels, frequencies using pyuvdata. " "Combined data along healpix pixel, " "frequency axis using pyuvdata.", beam1.history, ) # Zero out missing data in reference object beam_ref.data_array[..., 0, beam_healpix.Npixels // 2 :] = 0.0 beam_ref.data_array[..., 1, : beam_healpix.Npixels // 2] = 0.0 beam1.history = beam_healpix.history assert beam1 == beam_ref if beam_type == "efield": # Test adding another combo with efield beam_ref = beam_healpix.copy() beam1 = beam_healpix.select( freq_chans=0, feeds=beam_healpix.feed_array[0], inplace=False ) beam2 = beam_healpix.select( freq_chans=1, feeds=beam_healpix.feed_array[1], inplace=False ) beam1 += beam2 assert uvutils._check_histories( beam_healpix.history + " Downselected to specific frequencies, " "feeds using pyuvdata. Combined data " "along frequency, feed axis using pyuvdata.", beam1.history, ) # Zero out missing data in reference object beam_ref.data_array[..., 1, 0, :] = 0.0 beam_ref.data_array[..., 0, 1, :] = 0.0 beam1.history = beam_healpix.history assert beam1 == beam_ref # Add without inplace beam1 = beam_healpix.select( pixels=beam_healpix.pixel_array[0 : beam_healpix.Npixels // 2], inplace=False ) beam2 = beam_healpix.select( pixels=beam_healpix.pixel_array[beam_healpix.Npixels // 2 :], inplace=False ) beam1 = beam1 + beam2 assert uvutils._check_histories( beam_healpix.history + " Downselected to specific healpix pixels " "using pyuvdata. Combined data " "along healpix pixel axis using pyuvdata.", beam1.history, ) beam1.history = beam_healpix.history assert beam1 == beam_healpix # --------------- # Test error: adding overlapping data with healpix beam1 = beam_healpix.copy() beam2 = beam_healpix.copy() with pytest.raises( ValueError, match="These objects have overlapping data and cannot be combined." ): beam1.__iadd__(beam2) @pytest.mark.parametrize("future_shapes", [True, False]) def test_beam_area_healpix( future_shapes, cst_power_1freq_cut_healpix, cst_efield_1freq_cut_healpix ): power_beam_healpix = cst_power_1freq_cut_healpix if future_shapes: power_beam_healpix.use_future_array_shapes() # Test beam area methods # Check that non-peak normalizations error with pytest.raises(ValueError, match="beam must be peak normalized"): power_beam_healpix.get_beam_area() with pytest.raises(ValueError, match="beam must be peak normalized"): power_beam_healpix.get_beam_sq_area() healpix_norm = power_beam_healpix.copy() healpix_norm.data_normalization = "solid_angle" with pytest.raises(ValueError, match="beam must be peak normalized"): healpix_norm.get_beam_area() with pytest.raises(ValueError, match="beam must be peak normalized"): healpix_norm.get_beam_sq_area() # change it back to 'physical' healpix_norm.data_normalization = "physical" # change it to peak for rest of checks healpix_norm.peak_normalize() # Check sizes of output numfreqs = healpix_norm.freq_array.shape[-1] beam_int = healpix_norm.get_beam_area(pol="xx") beam_sq_int = healpix_norm.get_beam_sq_area(pol="xx") print(beam_int.shape) assert beam_int.shape[0] == numfreqs assert beam_sq_int.shape[0] == numfreqs # Check for the case of a uniform beam over the whole sky hp_obj = HEALPix(nside=healpix_norm.nside) d_omega = hp_obj.pixel_area.to("steradian").value npix = healpix_norm.Npixels healpix_norm.data_array = np.ones_like(healpix_norm.data_array) assert np.allclose( np.sum(healpix_norm.get_beam_area(pol="xx")), numfreqs * npix * d_omega ) healpix_norm.data_array = 2.0 * np.ones_like(healpix_norm.data_array) assert np.allclose( np.sum(healpix_norm.get_beam_sq_area(pol="xx")), numfreqs * 4.0 * npix * d_omega ) # check XX and YY beam areas work and match to within 5 sigfigs xx_area = healpix_norm.get_beam_area("XX") xx_area = healpix_norm.get_beam_area("xx") assert np.allclose(xx_area, xx_area) yy_area = healpix_norm.get_beam_area("YY") assert np.allclose(yy_area / xx_area, np.ones(numfreqs)) # nt.assert_almost_equal(yy_area / xx_area, 1.0, places=5) xx_area = healpix_norm.get_beam_sq_area("XX") yy_area = healpix_norm.get_beam_sq_area("YY") assert np.allclose(yy_area / xx_area, np.ones(numfreqs)) # nt.assert_almost_equal(yy_area / xx_area, 1.0, places=5) # Check that if pseudo-Stokes I (pI) is in the beam polarization_array it # just uses it healpix_norm.polarization_array = [1, 2] # Check error if desired pol is allowed but isn't in the polarization_array with pytest.raises( ValueError, match="Do not have the right polarization information" ): healpix_norm.get_beam_area(pol="xx") with pytest.raises( ValueError, match="Do not have the right polarization information" ): healpix_norm.get_beam_sq_area(pol="xx") # Check polarization error healpix_norm.polarization_array = [9, 18, 27, -4] with pytest.raises( ValueError, match="Do not have the right polarization information" ): healpix_norm.get_beam_area(pol="xx") with pytest.raises( ValueError, match="Do not have the right polarization information" ): healpix_norm.get_beam_sq_area(pol="xx") efield_beam = cst_efield_1freq_cut_healpix.copy() if future_shapes: efield_beam.use_future_array_shapes() healpix_norm_fullpol = efield_beam.efield_to_power(inplace=False) healpix_norm_fullpol.peak_normalize() xx_area = healpix_norm_fullpol.get_beam_sq_area("XX") yy_area = healpix_norm_fullpol.get_beam_sq_area("YY") XY_area = healpix_norm_fullpol.get_beam_sq_area("XY") YX_area = healpix_norm_fullpol.get_beam_sq_area("YX") # check if XY beam area is equal to beam YX beam area assert np.allclose(XY_area, YX_area) # check if XY/YX beam area is less than XX/YY beam area assert np.all(np.less(XY_area, xx_area)) assert np.all(np.less(XY_area, yy_area)) assert np.all(np.less(YX_area, xx_area)) assert np.all(np.less(YX_area, yy_area)) # Check if power is scalar healpix_vec_norm = efield_beam.efield_to_power( keep_basis_vector=True, calc_cross_pols=False, inplace=False ) healpix_vec_norm.peak_normalize() with pytest.raises(ValueError, match="Expect scalar for power beam, found vector"): healpix_vec_norm.get_beam_area() with pytest.raises(ValueError, match="Expect scalar for power beam, found vector"): healpix_vec_norm.get_beam_sq_area() # Check only power beams accepted with pytest.raises(ValueError, match="beam_type must be power"): efield_beam.get_beam_area() with pytest.raises(ValueError, match="beam_type must be power"): efield_beam.get_beam_sq_area() # check pseudo-Stokes parameters efield_beam = cst_efield_1freq_cut_healpix if future_shapes: efield_beam.use_future_array_shapes() efield_beam.efield_to_pstokes() efield_beam.peak_normalize() pI_area = efield_beam.get_beam_sq_area("pI") pQ_area = efield_beam.get_beam_sq_area("pQ") pU_area = efield_beam.get_beam_sq_area("pU") pV_area = efield_beam.get_beam_sq_area("pV") assert np.all(np.less(pQ_area, pI_area)) assert np.all(np.less(pU_area, pI_area)) assert np.all(np.less(pV_area, pI_area)) # check backwards compatability with pstokes nomenclature and int polnum I_area = efield_beam.get_beam_area("I") pI_area = efield_beam.get_beam_area("pI") area1 = efield_beam.get_beam_area(1) assert np.allclose(I_area, pI_area) assert np.allclose(I_area, area1) # check efield beam type is accepted for pseudo-stokes and power for # linear polarizations with pytest.raises(ValueError, match="Expect scalar for power beam, found vector"): healpix_vec_norm.get_beam_sq_area("pI") with pytest.raises( ValueError, match="Do not have the right polarization information" ): efield_beam.get_beam_sq_area("xx") def test_get_beam_function_errors(cst_power_1freq_cut): power_beam = cst_power_1freq_cut.copy() with pytest.raises(AssertionError, match="pixel_coordinate_system must be healpix"): power_beam._get_beam("xx") # Check only healpix accepted (HEALPix checks are in test_healpix) # change data_normalization to peak for rest of checks power_beam.peak_normalize() with pytest.raises(ValueError, match="Currently only healpix format supported"): power_beam.get_beam_area() with pytest.raises(ValueError, match="Currently only healpix format supported"): power_beam.get_beam_sq_area() def test_get_beam_functions(cst_power_1freq_cut_healpix): healpix_power_beam = cst_power_1freq_cut_healpix healpix_power_beam.peak_normalize() healpix_power_beam._get_beam("xx") with pytest.raises( ValueError, match="Do not have the right polarization information" ): healpix_power_beam._get_beam(4) @pytest.mark.parametrize("future_shapes", [True, False]) def test_generic_read_cst(future_shapes): uvb = UVBeam() uvb.read( cst_files, use_future_array_shapes=future_shapes, beam_type="power", frequency=np.array([150e6, 123e6]), feed_pol="y", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", run_check=False, ) assert uvb.check() @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize( "filename", [cst_yaml_file, mwa_beam_file, casa_beamfits], ) def test_generic_read(filename, future_shapes): """Test generic read can infer the file types correctly.""" uvb = UVBeam() # going to check in a second anyway, no need to double check. uvb.read(filename, use_future_array_shapes=future_shapes, run_check=False) # hera casa beam is missing some parameters but we just want to check # that reading is going okay if filename == casa_beamfits: # fill in missing parameters uvb.data_normalization = "peak" uvb.feed_name = "casa_ideal" uvb.feed_version = "v0" uvb.model_name = "casa_airy" uvb.model_version = "v0" # this file is actually in an orthoslant projection RA/DEC at zenith at a # particular time. # For now pretend it's in a zenith orthoslant projection uvb.pixel_coordinate_system = "orthoslant_zenith" assert uvb.check() def test_generic_read_bad_filetype(): uvb = UVBeam() with pytest.raises(ValueError, match="File type could not be determined"): uvb.read("foo") def test_generic_read_multi(tmp_path): uvb = UVBeam() uvb.read(mwa_beam_file, pixels_per_deg=1, freq_range=[100e6, 200e6]) uvb1 = uvb.select(frequencies=uvb.freq_array[0, ::2], inplace=False) uvb2 = uvb.select(frequencies=uvb.freq_array[0, 1::2], inplace=False) fname1 = str(tmp_path / "test_beam1.beamfits") fname2 = str(tmp_path / "test_beam2.beamfits") uvb1.write_beamfits(fname1) uvb2.write_beamfits(fname2) uvb3 = UVBeam() uvb3.read([fname1, fname2]) assert uvb3.filename == ["test_beam1.beamfits", "test_beam2.beamfits"] # the histories will be different uvb3.history = uvb.history assert uvb3 == uvb @pytest.mark.parametrize("skip", [True, False]) @pytest.mark.parametrize("flip_order", [True, False]) def test_generic_read_multi_bad_files(tmp_path, skip, flip_order): uvb = UVBeam() uvb = UVBeam() uvb.read(mwa_beam_file, pixels_per_deg=1, freq_range=[100e6, 200e6]) uvb1 = uvb.select(frequencies=uvb.freq_array[0, ::2], inplace=False) uvb2 = uvb.select(frequencies=uvb.freq_array[0, 1::2], inplace=False) fname1 = str(tmp_path / "test_beam1.beamfits") fname2 = str(tmp_path / "test_beam2.beamfits") uvb1.write_beamfits(fname1) uvb2.write_beamfits(fname2) # Give file a bad beam type fits.setval(fname1, "BTYPE", value="foobar") uvb3 = UVBeam() filenames = [fname1, fname2] if flip_order: # reverse the order to trigger other try/catch block filenames = list(reversed(filenames)) if skip: with uvtest.check_warnings( UserWarning, f"Failed to read {filenames[0]} due to ValueError" ): uvb3.read(filenames, skip_bad_files=skip) assert uvb3 == uvb2 else: with pytest.raises(ValueError, match="Unknown beam_type: foobar, beam_type"): uvb3.read(filenames, skip_bad_files=skip) def test_generic_read_all_bad_files(tmp_path): uvb = UVBeam() uvb = UVBeam() uvb.read(mwa_beam_file, pixels_per_deg=1, freq_range=[100e6, 200e6]) uvb1 = uvb.select(frequencies=uvb.freq_array[0, ::2], inplace=False) uvb2 = uvb.select(frequencies=uvb.freq_array[0, 1::2], inplace=False) fname1 = str(tmp_path / "test_beam1.beamfits") fname2 = str(tmp_path / "test_beam2.beamfits") uvb1.write_beamfits(fname1) uvb2.write_beamfits(fname2) # Give files a bad beam type fits.setval(fname1, "BTYPE", value="foobar") fits.setval(fname2, "BTYPE", value="foobar") uvb3 = UVBeam() filenames = [fname1, fname2] with uvtest.check_warnings( UserWarning, "ALL FILES FAILED ON READ", ): uvb3.read(filenames, skip_bad_files=True) @pytest.mark.parametrize("future_shapes", [True, False]) @pytest.mark.parametrize( "filename", [cst_yaml_file, mwa_beam_file, casa_beamfits], ) def test_from_file(future_shapes, filename): """Test from file produces same the results as reading explicitly.""" uvb = UVBeam() # don't run checks because of casa_beamfits, we'll do that later uvb.read(filename, run_check=False) uvb2 = UVBeam.from_file( filename, use_future_array_shapes=future_shapes, run_check=False ) uvb.read(filename, use_future_array_shapes=future_shapes, run_check=False) # hera casa beam is missing some parameters but we just want to check # that reading is going okay if filename == casa_beamfits: # fill in missing parameters for _uvb in [uvb, uvb2]: _uvb.data_normalization = "peak" _uvb.feed_name = "casa_ideal" _uvb.feed_version = "v0" _uvb.model_name = "casa_airy" _uvb.model_version = "v0" # this file is actually in an orthoslant projection RA/DEC at zenith at a # particular time. # For now pretend it's in a zenith orthoslant projection _uvb.pixel_coordinate_system = "orthoslant_zenith" # double check the files are valid assert uvb.check() assert uvb2.check() assert uvb == uvb2