def METHOD_NAME(self, test_method):
    column_configs = [
        {
            "name": "col_a",
            "code_type": "float",
            "args": {"code_len": 4, "base": 16, "fillall": False, "hasnan": True, "transform": 'yeo-johnson'},
        },
        {
            "name": "col_b",
            "code_type": "float",
            "args": {"code_len": 4, "base": 177, "fillall": True, "hasnan": True, "transform": 'quantile'},
        },
        {
            "name": "col_c",
            "code_type": "int",
            "args": {"code_len": 3, "base": 12, "fillall": True, "hasnan": True},
        },
        {"name": "col_d", "code_type": "category",},
    ]
    example_arrays = {}
    np.random.seed(1234)
    array = np.random.random(100)
    example_arrays['col_a'] = array
    array = np.random.random(100)
    example_arrays['col_b'] = array
    array = np.random.randint(3, 1000, 100)
    example_arrays['col_c'] = array
    ALPHABET = np.array(list(string.ascii_lowercase + ' '))
    array = np.char.add(np.random.choice(ALPHABET, 1000), np.random.choice(ALPHABET, 1000))
    example_arrays['col_d'] = array
    self.cc = ColumnCodes.get_column_codes(column_configs, example_arrays)