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