def test_rosenbluth_symmetry():
data = datasets.make_uniform(seed=42, size=300, mu=1, nbin=None)
y = data.data["x"].tolist()
np.random.shuffle(y)
df2 = pd.DataFrame({"x": y})
dr2 = ApodeData(df2, income_column="x")
assert data.concentration(method="rosenbluth") == dr2.concentration(
method="rosenbluth")
def test_concentration_ratio_symmetry():
ad = datasets.make_uniform(seed=42, size=300, mu=1, nbin=None)
y = ad.data["x"].tolist()
np.random.shuffle(y)
df2 = pd.DataFrame({"x": y})
ad2 = ApodeData(df2, income_column="x")
assert ad.concentration(method="concentration_ratio",
k=20) == ad2.concentration(
method="concentration_ratio", k=20)