Hello, it might be dummy question, but is it possible to pass additional parameters, besides e.g. Row processed, to map function in PyTable? The code below complains about

AttributeError: 'Test' object has no attribute '_set_takes_row_as_input'

and when i add it, then the error says

TypeError: 'Test' object is not callable

def method1(input):
    return "#".join([input, input])

class Test(MapFunction):

    def __init__(self, testValue):
        self.key = None
        self.testValue = testValue

    # def _set_takes_row_as_input(self):
    #     self._takes_row_as_input = True
    #     return self

    def map(self, data, testValue, output_type=DataTypes.ROW([DataTypes.FIELD("FIRST_NAME", DataTypes.STRING()),
                                    DataTypes.FIELD("FIRST_NAM", DataTypes.STRING()),
                                    DataTypes.FIELD("FIRST_NA", DataTypes.STRING())])):
        return Row(
            FIRST_NAME = data['FIRST_NAME'],
            FIRST_NAM = data['EMAIL'],
            FIRST_NA = method1(self.testValue)
        )

source_table = table_env.from_path("table")
source_table.map(Test(testValue="DummyValue")).execute().print()

then i tried with udf, but no success. Error says

TypeError: __call__() got an unexpected keyword argument 'dummyVariable'

@udf(result_type=DataTypes.ROW([DataTypes.FIELD("FIELD_1", DataTypes.STRING()),
                                    DataTypes.FIELD("FIELD_2", DataTypes.STRING()),
                                    DataTypes.FIELD("FIELD_3", DataTypes.STRING())]))
    def func1(data: Row, dummyVariable: str) -> Row:
        return Row(
            FIELD_1 = data['FIRST_NAME'],
            FIELD_2 = data['EMAIL'],
            FIELD_3 = method1(dummyVariable)
        ) 
    source_table = table_env.from_path("table")
    source_table.map(func1(dummyVariable = "dummyValue")).execute().print()