Ejemplo n.º 1
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def test_hwep_dataset__raise_on_missing_alleles():
    with pytest.raises(
        ValueError,
        match="`alleles` parameter must be set when not present as dataset dimension.",
    ):
        ds = xr.Dataset({"x": (("ploidy"), np.zeros((2,)))})
        hwep_test(ds)
Ejemplo n.º 2
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def test_hwep_dataset__precomputed_counts(ds_neq: Dataset) -> None:
    ds = ds_neq
    ac = ds["call_genotype"].sum(dim="ploidy")
    cts = [1, 0, 2]  # arg order: hets, hom1, hom2
    gtc = xr.concat([(ac == ct).sum(dim="samples") for ct in cts], dim="counts").T
    ds = ds.assign(**{"variant_genotype_counts": gtc})
    p = hwep_test(ds, genotype_counts="variant_genotype_counts", merge=False)
    assert np.all(p < 1e-8)
Ejemplo n.º 3
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def test_hwep_dataset__raise_on_nonbiallelic():
    with pytest.raises(
        NotImplementedError, match="HWE test only implemented for biallelic genotypes"
    ):
        ds = xr.Dataset({"x": (("ploidy", "alleles"), np.zeros((2, 3)))})
        hwep_test(ds)
Ejemplo n.º 4
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def test_hwep_dataset__out_of_eq(ds_neq: Dataset) -> None:
    p = hwep_test(ds_neq)["variant_hwe_p_value"].values
    assert np.all(p < 1e-8)
Ejemplo n.º 5
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def test_hwep_dataset__in_eq(ds_eq: Dataset) -> None:
    p = hwep_test(ds_eq)["variant_hwe_p_value"].values
    assert np.all(p > 1e-8)