(info, csd)
| 141 | |
| 142 | |
| 143 | def _make_rand_csd(info, csd): |
| 144 | rng = np.random.RandomState(0) |
| 145 | data = _rand_csd(rng, info) |
| 146 | # now we need to have the same null space as the data csd |
| 147 | s, u = np.linalg.eigh(csd.get_data(csd.frequencies[0])) |
| 148 | mask = np.abs(s) >= s[-1] * 1e-7 |
| 149 | rank = mask.sum() |
| 150 | assert rank == len(data) == len(info["ch_names"]) |
| 151 | noise_csd = CrossSpectralDensity( |
| 152 | _sym_mat_to_vector(data), info["ch_names"], 0.0, csd.n_fft |
| 153 | ) |
| 154 | return noise_csd, rank |
| 155 | |
| 156 | |
| 157 | @pytest.mark.slowtest |
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