airflow/contrib/operators/cassandra_to_gcs.py
def convert_user_type(cls, name, value):
        """
        Converts a user type to RECORD that contains n fields, where n is the
        number of attributes. Each element in the user type class will be converted to its
        corresponding data type in BQ.
        """
        names = value._fields
        values = [cls.convert_value(name, getattr(value, name)) for name in names]
        return cls.generate_data_dict(names, values)
def convert_user_type(cls, name, value):
        """
        Converts a user type to RECORD that contains n fields, where n is the
        number of attributes. Each element in the user type class will be converted to its
        corresponding data type in BQ.
        """
        names = value._fields
        values = [cls.convert_value(name, getattr(value, name)) for name in names]
        return cls.generate_data_dict(names, values)
def convert_user_type ( cls , name , value ) : names = value . _fields values = [ cls . convert_value ( name , getattr ( value , name ) ) for name in names ] return cls . generate_data_dict ( names , values )
Converts a user type to RECORD that contains n fields, where n is the
        number of attributes. Each element in the user type class will be converted to its
        corresponding data type in BQ.
Converts a user type to RECORD that contains n fields where n is the number of attributes . Each element in the user type class will be converted to its corresponding data type in BQ .