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import pytest from numpy.testing import assert_allclose from sklearn.utils import check_random_state from sklearn.utils._arpack import _init_arpack_v0 @pytest.mark.parametrize("seed", range(100)) def test_init_arpack_v0(seed): # check that the initialization a sampling from an uniform distribution # where we can fix the random state size = 1000 v0 = _init_arpack_v0(size, seed) rng = check_random_state(seed) assert_allclose(v0, rng.uniform(-1, 1, size=size))
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