def test_scenario1(self):
        print self.test_scenario1.__doc__
        examples = [
            ['data/iris.csv', '10', '10', '40', '000001', '10']]
        for example in examples:
            print "\nTesting with:\n", example
            source_create.i_upload_a_file(self, example[0])
            source_create.the_source_is_finished(self, example[1])
            dataset_create.i_create_a_dataset(self)
            dataset_create.the_dataset_is_finished_in_less_than(self, example[2])
            cluster_create.i_create_a_cluster(self)
            cluster_create.the_cluster_is_finished_in_less_than(self, example[3])
            dataset_create.i_create_a_dataset_from_cluster(self, example[4])
            dataset_create.the_dataset_is_finished_in_less_than(self, example[5])
            dataset_create.is_associated_to_centroid_id(self, example[4])
Format the data from parse_line for return by run_search.
dataset/ETHPy150Open bigmlcom/python/bigml/tests/test_24_cluster_derived.py/TestClusterDerived.test_scenario1--crossover with--dataset/ETHPy150Open nandhp/python-imdb/imdb/parsers.py/_IMDbParser._make_result