text: """ Test Hyper Parameters Module """
  
  from bananas.core.learner import Learner
  from bananas.core.pipeline import Pipeline, PipelineStep
  from bananas.dataset.dataset import DataSet
  from bananas.sampledata.synthetic import new_labels
  from bananas.testing.dummy import DummyClassifier
  from bananas.hyperparameters.bruteforce import BruteForce
  from bananas.hyperparameters.gridsearch import _iter_parameters, GridSearch
  from .test_profiling import ProfilingTestCase, main
  
  
  # pylint: disable=missing-docstring
  class CustomEstimator(Learner):
      def __init__(self, a=0, b="b", c=None, verbose=False):
          self.a = a
          self.b = b
          # `c` omitted on purpose
          super().__init__()
  
      @staticmethod
      def hyperparameters(dataset: DataSet):
          return {"a": [1, 2, 3], "b": ["x", "y", "z"]}
  
  
  class TestUtils(ProfilingTestCase):
      def test_iter_parameters_learner(self):
          params = CustomEstimator.hyperparameters(None)
          expected = [
              {"a": 1, "b": "x"},
              {"a": 1, "b": "y"},
              {"a": 1, "b": "z"},
              {"a": 2, "b": "x"},
              {"a": 2, "b": "y"},
              {"a": 2, "b": "z"},
              {"a": 3, "b": "x"},
              {"a": 3, "b": "y"},
              {"a": 3, "b": "z"},
          ]
          result = list(_iter_parameters(CustomEstimator, params))
          self.assertListEqual(expected, result)
  
      def test_iter_parameters_pipeline(self):
          step = PipelineStep(
              name="1", learner=CustomEstimator, kwargs=CustomEstimator.hyperparameters(None)
          )
          params = Pipeline.hyperparameters(None, [step])
          expected = [
              {"steps": [PipelineStep(name="1", learner=CustomEstimator, kwargs={"a": 1, "b": "x"})]},
              {"steps": [PipelineStep(name="1", learner=CustomEstimator, kwargs={"a": 1, "b": "y"})]},
              {"steps": [PipelineStep(name="1", learner=CustomEstimator, kwargs={"a": 1, "b": "z"})]},
              {"steps": [PipelineStep(name="1", learner=CustomEstimator, kwargs={"a": 2, "b": "x"})]},
              {"steps": [PipelineStep(name="1", learner=CustomEstimator, kwargs={"a": 2, "b": "y"})]},
              {"steps": [PipelineStep(name="1", learner=CustomEstimator, kwargs={"a": 2, "b": "z"})]},
              {"steps": [PipelineStep(name="1", learner=CustomEstimator, kwargs={"a": 3, "b": "x"})]},
              {"steps": [PipelineStep(name="1", learner=CustomEstimator, kwargs={"a": 3, "b": "y"})]},
              {"steps": [PipelineStep(name="1", learner=CustomEstimator, kwargs={"a": 3, "b": "z"})]},
          ]
          result = list(_iter_parameters(Pipeline, params))
          self.assertListEqual(expected, result)
  
      def test_iter_parameters_nested_pipeline(self):
          step = PipelineStep(
              name="1", learner=CustomEstimator, kwargs=CustomEstimator.hyperparameters(None)
          )
          nested = PipelineStep(name="nested", learner=Pipeline, kwargs={"steps": [step]})
          params = Pipeline.hyperparameters(None, [nested])
          expected = [
              {
                  "steps": [
                      PipelineStep(
                          name="nested",
                          learner=Pipeline,
                          kwargs={
                              "steps": [
                                  PipelineStep(
                                      name="1", learner=CustomEstimator, kwargs={"a": 1, "b": "x"}
                                  )
                              ]
                          },
                      )
                  ]
              },
              {
                  "steps": [
                      PipelineStep(
                          name="nested",
                          learner=Pipeline,
                          kwargs={
                              "steps": [
                                  PipelineStep(
                                      name="1", learner=CustomEstimator, kwargs={"a": 1, "b": "y"}
                                  )
                              ]
                          },
                      )
                  ]
              },
              {
                  "steps": [
                      PipelineStep(
                          name="nested",
                          learner=Pipeline,
                          kwargs={
                              "steps": [
                                  PipelineStep(
                                      name="1", learner=CustomEstimator, kwargs={"a": 1, "b": "z"}
                                  )
                              ]
                          },
                      )
                  ]
              },
              {
                  "steps": [
                      PipelineStep(
                          name="nested",
                          learner=Pipeline,
                          kwargs={
                              "steps": [
                                  PipelineStep(
                                      name="1", learner=CustomEstimator, kwargs={"a": 2, "b": "x"}
                                  )
                              ]
                          },
                      )
                  ]
              },
              {
                  "steps": [
                      PipelineStep(
                          name="nested",
                          learner=Pipeline,
                          kwargs={
                              "steps": [
                                  PipelineStep(
                                      name="1", learner=CustomEstimator, kwargs={"a": 2, "b": "y"}
                                  )
                              ]
                          },
                      )
                  ]
              },
              {
                  "steps": [
                      PipelineStep(
                          name="nested",
                          learner=Pipeline,
                          kwargs={
                              "steps": [
                                  PipelineStep(
                                      name="1", learner=CustomEstimator, kwargs={"a": 2, "b": "z"}
                                  )
                              ]
                          },
                      )
                  ]
              },
              {
                  "steps": [
                      PipelineStep(
                          name="nested",
                          learner=Pipeline,
                          kwargs={
                              "steps": [
                                  PipelineStep(
                                      name="1", learner=CustomEstimator, kwargs={"a": 3, "b": "x"}
                                  )
                              ]
                          },
                      )
                  ]
              },
              {
                  "steps": [
                      PipelineStep(
                          name="nested",
                          learner=Pipeline,
                          kwargs={
                              "steps": [
                                  PipelineStep(
                                      name="1", learner=CustomEstimator, kwargs={"a": 3, "b": "y"}
                                  )
                              ]
                          },
                      )
                  ]
              },
              {
                  "steps": [
                      PipelineStep(
                          name="nested",
                          learner=Pipeline,
                          kwargs={
                              "steps": [
                                  PipelineStep(
                                      name="1", learner=CustomEstimator, kwargs={"a": 3, "b": "z"}
                                  )
                              ]
                          },
                      )
                  ]
              },
          ]
          result = list(_iter_parameters(Pipeline, params))
          self.assertListEqual(expected, result)
  
      def test_grid_search_learner(self):
          params = CustomEstimator.hyperparameters(None)
          expected = [
              {"a": 1, "b": "x"},
              {"a": 1, "b": "y"},
              {"a": 1, "b": "z"},
              {"a": 2, "b": "x"},
              {"a": 2, "b": "y"},
              {"a": 2, "b": "z"},
              {"a": 3, "b": "x"},
              {"a": 3, "b": "y"},
              {"a": 3, "b": "z"},
          ]
          search = GridSearch(CustomEstimator, learner_parameters=params)
          result = [
              {"a": getattr(learner, "a"), "b": getattr(learner, "b")}
              for learner in search._iter_learners()
          ]
          self.assertListEqual(expected, result)
  
      def test_brute_force_learner(self):
          learners = [DummyClassifier]
          dataset = new_labels(random_seed=0)
          brute = BruteForce(dataset, learners)
          brute.train(dataset.input_fn, max_steps=100)
  
  
  main()
  