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14 | 14 | sampling_to_test = ["mw", "mwss", "dh", "gl"]
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15 | 15 | method_to_test = ["direct", "sov", "sov_fft", "sov_fft_vectorized"]
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16 | 16 | reality_to_test = [False, True]
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17 |
| -iter_to_test = [7, 10] |
18 | 17 |
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19 | 18 |
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20 | 19 | @pytest.mark.parametrize("L", L_to_test)
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@@ -133,14 +132,12 @@ def test_transform_forward_healpix(
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133 | 132 |
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134 | 133 |
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135 | 134 | @pytest.mark.parametrize("nside", nside_to_test)
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136 |
| -@pytest.mark.parametrize("reality", reality_to_test) |
137 |
| -@pytest.mark.parametrize("iter", iter_to_test) |
138 |
| -def test_transform_forward_healpix_iter( |
139 |
| - flm_generator, nside: int, reality: bool, iter: int |
140 |
| -): |
| 135 | +@pytest.mark.parametrize("iter", [8, 10]) |
| 136 | +def test_transform_forward_healpix_iter(flm_generator, nside: int, iter: int): |
141 | 137 | sampling = "healpix"
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142 | 138 | L = 2 * nside
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143 |
| - flm = flm_generator(L=L, reality=True) |
| 139 | + reality = True |
| 140 | + flm = flm_generator(L=L, reality=reality) |
144 | 141 | f = spherical.inverse(flm, L, sampling=sampling, nside=nside, reality=reality)
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145 | 142 | flm_direct = spherical.forward(
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146 | 143 | f,
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