@types.convert(template_path={"type": "file"}, files={"type": "file_dict"})
    @validation.validate_heat_template("template_path")
    @validation.required_services(consts.Service.HEAT)
    @validation.required_openstack(users=True)
    @scenario.configure(context={"cleanup": ["heat"]})
    def create_and_delete_stack(self, template_path, parameters=None,
                                files=None, environment=None):

        stack = self._create_stack(template_path, parameters,
                                   files, environment)
        self._delete_stack(stack)
transformer on sparse data.
dataset/ETHPy150Open openstack/rally/rally/plugins/openstack/scenarios/heat/stacks.py/HeatStacks.create_and_delete_stack--crossover with--dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/preprocessing/imputation.py/Imputer._sparse_transform