How to use the datacompy.temp_column_name function in datacompy

def test_temp_column_name_one_already():
    df1 = pd.DataFrame([{"_temp_1": "hi", "b": 2}, {"_temp_1": "bye", "b": 2}])
    df2 = pd.DataFrame(
        [{"_temp_1": "hi", "b": 2}, {"_temp_1": "bye", "b": 2}, {"a": "back fo mo", "b": 3}]
    )
    actual = datacompy.temp_column_name(df1, df2)
    assert actual == "_temp_0"

def test_temp_column_name_both_have():
    df1 = pd.DataFrame([{"_temp_0": "hi", "b": 2}, {"_temp_0": "bye", "b": 2}])
    df2 = pd.DataFrame(
        [{"_temp_0": "hi", "b": 2}, {"_temp_0": "bye", "b": 2}, {"a": "back fo mo", "b": 3}]
    )
    actual = datacompy.temp_column_name(df1, df2)
    assert actual == "_temp_1"

def test_temp_column_name_one_has():
    df1 = pd.DataFrame([{"_temp_0": "hi", "b": 2}, {"_temp_0": "bye", "b": 2}])
    df2 = pd.DataFrame([{"a": "hi", "b": 2}, {"a": "bye", "b": 2}, {"a": "back fo mo", "b": 3}])
    actual = datacompy.temp_column_name(df1, df2)
    assert actual == "_temp_1"

def test_temp_column_name():
    df1 = pd.DataFrame([{"a": "hi", "b": 2}, {"a": "bye", "b": 2}])
    df2 = pd.DataFrame([{"a": "hi", "b": 2}, {"a": "bye", "b": 2}, {"a": "back fo mo", "b": 3}])
    actual = datacompy.temp_column_name(df1, df2)
    assert actual == "_temp_0"