1e0e89516bd9780b632b0a8ea5bcd371d72c9fba,upsetplot/tests/test_data.py,,test_from_contents_vs_memberships,#,93

Before Change

@pytest.mark.parametrize("typ", [set, list, tuple, iter])
@pytest.mark.parametrize("id_column", ["id", "blah"])
def test_from_contents_vs_memberships(data, typ, id_column):
    contents = {"cat1": typ(["aa", "bb", "cc"]),
                "cat2": typ(["cc", "dd"]),
                "cat3": typ(["ee"]),
                }
    // Note that ff is not present in contents
    data_df = pd.DataFrame(data,
                           index=["aa", "bb", "cc", "dd", "ee", "ff"])
    baseline = from_contents(OrderedDict(contents), data=data_df,
                             id_column=id_column)
    // compare from_contents to from_memberships
    expected = from_memberships(memberships=[{"cat1"},

After Change

@pytest.mark.parametrize("typ", [set, list, tuple, iter])
@pytest.mark.parametrize("id_column", ["id", "blah"])
def test_from_contents_vs_memberships(data, typ, id_column):
    contents = OrderedDict([("cat1", typ(["aa", "bb", "cc"])),
                            ("cat2", typ(["cc", "dd"])),
                            ("cat3", typ(["ee"]))])
    // Note that ff is not present in contents
    data_df = pd.DataFrame(data,
                           index=["aa", "bb", "cc", "dd", "ee", "ff"])
    baseline = from_contents(contents, data=data_df,
                             id_column=id_column)
    // compare from_contents to from_memberships
    expected = from_memberships(memberships=[{"cat1"},

Instances