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sjsrey
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Apr 18, 2026
| mi1 = moran.Moran_Rate(self.e, self.b, w, permutations=99, seed=SEED) | ||
| mi2 = moran.Moran_Rate(self.e, self.b, w, permutations=99, seed=SEED + 1) | ||
| np.testing.assert_allclose(mi1.I, mi2.I) | ||
| assert mi1.p_sim != mi2.p_sim |
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The p_sim is likely to be the same even with different seeds due to the same level of spatial autocorrelation in the data. Maybe better to omit the test on this attribute here, since you do check if the sim values differ with different seeds.
sjsrey
reviewed
Apr 18, 2026
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| def __init__(self, x, y, w, transformation="r", permutations=PERMUTATIONS): | ||
| def __init__( | ||
| self, x, y, w, transformation="r", permutations=PERMUTATIONS, seed=None |
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The docstring should be updated to reflect the new parameter.
sjsrey
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Apr 18, 2026
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Thanks for this.
Some comments to help with test failures, and alignment with SPEC 07
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| def __init__(self, x, y, w, transformation="r", permutations=PERMUTATIONS): | ||
| def __init__( | ||
| self, x, y, w, transformation="r", permutations=PERMUTATIONS, seed=None |
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We are adopting spec 07 across pysal, and this recommends deprecating the seed argument infavor of an rng argument.
| transformation="r", | ||
| permutations=PERMUTATIONS, | ||
| two_tailed=True, | ||
| seed=None, |
| transformation=transformation, | ||
| permutations=permutations, | ||
| two_tailed=two_tailed, | ||
| seed=seed, |
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Summary
Added seed parameter to Moran_BV and Moran_Rate to enable reproducible permutation-based significance testing, and update Moran_BV to use the NumPy Generator API.
Changes
esda/moran.py:esda/tests/test_moran.py: