Merge pull request #170 from astro-informatics/mmg/healpix-fft-tests

Tests for consistency of HEALPix FFT and IFFT implementations

Author: matt-graham

tests/test_healpix_ffts.py

@@ -0,0 +1,49 @@
+import numpy as np
+import healpy as hp
+import pytest
+from jax import config
+from s2fft.sampling import s2_samples as samples
+from s2fft.utils.healpix_ffts import (
+    healpix_fft_jax,
+    healpix_fft_numpy,
+    healpix_ifft_jax,
+    healpix_ifft_numpy,
+)
+
+
+config.update("jax_enable_x64", True)
+
+
+nside_to_test = [4, 5]
+reality_to_test = [False, True]
+
+
+@pytest.mark.parametrize("nside", nside_to_test)
+@pytest.mark.parametrize("reality", reality_to_test)
+def test_healpix_fft_jax_numpy_consistency(flm_generator, nside, reality):
+    L = 2 * nside
+    # Generate a random bandlimited signal
+    flm = flm_generator(L=L, reality=reality)
+    flm_hp = samples.flm_2d_to_hp(flm, L)
+    f = hp.sphtfunc.alm2map(flm_hp, nside, lmax=L - 1)
+    # Test consistency
+    assert np.allclose(
+        healpix_fft_numpy(f, L, nside, reality), healpix_fft_jax(f, L, nside, reality)
+    )
+
+
+@pytest.mark.parametrize("nside", nside_to_test)
+@pytest.mark.parametrize("reality", reality_to_test)
+def test_healpix_ifft_jax_numpy_consistency(flm_generator, nside, reality):
+    L = 2 * nside
+    # Generate a random bandlimited signal
+    flm = flm_generator(L=L, reality=reality)
+    flm_hp = samples.flm_2d_to_hp(flm, L)
+    f = hp.sphtfunc.alm2map(flm_hp, nside, lmax=L - 1)
+    ftm = healpix_fft_numpy(f, L, nside, reality)
+    ftm_copy = np.copy(ftm)
+    # Test consistency
+    assert np.allclose(
+        healpix_ifft_numpy(ftm, L, nside, reality),
+        healpix_ifft_jax(ftm_copy, L, nside, reality),
+    )