def METHOD_NAME(simple_dataset):
    """Test against hardcoded values"""
    percentiles = list(range(10, 100, 20))
    data = json.loads(
        gs.read_command(
            "v.db.univar",
            map=simple_dataset.vector_name,
            column=simple_dataset.column_name,
            flags="e",
            percentile=percentiles,
            format="json",
        )
    )
    assert "statistics" in data
    stats = data["statistics"]
    assert stats["n"] == 10
    assert stats["min"] == 100.11
    assert stats["max"] == 109.11
    assert stats["range"] == 9
    assert stats["sum"] == approx(1046.1)
    assert stats["mean"] == approx(104.61)
    assert stats["mean_abs"] == approx(104.61)
    assert stats["stddev"] == approx(2.87228132326952)
    assert stats["variance"] == approx(8.25000000000291)
    assert stats["coeff_var"] == approx(0.0274570435261402)
    # Test percentiles.
    assert stats["percentiles"] == percentiles
    ref_percentiles = [100.11, 102.11, 104.11, 106.11, 108.11]
    assert len(stats["percentiles"]) == len(ref_percentiles), "Error in the test itself"
    assert stats["percentile_values"] == ref_percentiles