Python testify.assert_dicts_equal函数代码示例

 def test_one_arm(self):
     """Check that the one-arm case always returns the given arm as the winning arm and the allocation is 1.0."""
     for epsilon in self.epsilons_to_test:
         for total_samples in self.total_samples_to_test:
             bandit = self.bandit_class(self.one_arm_test_case, epsilon, total_samples)
             T.assert_dicts_equal(bandit.allocate_arms(), {"arm1": 1.0})
             T.assert_equal(bandit.choose_arm(), "arm1")

 def test_three_arms_exploit(self):
     """Check that the three-arms cases with integer and float payoffs in exploitation phase return the expected arm allocations."""
     epsilon = 0.5
     total_samples = 10
     for historical_info in [self.three_arms_test_case, self.three_arms_float_payoffs_test_case]:
         bandit = self.bandit_class(historical_info, epsilon, total_samples)
         T.assert_dicts_equal(bandit.allocate_arms(), {"arm1": 1.0, "arm2": 0.0, "arm3": 0.0})

 def test_make_bandit_historical_info_from_params_variance_passed_through(self):
     """Test that the variance of a given sample arm got passed through."""
     historical_info = self.three_arms_with_variance_no_unsampled_arm_test_case
     T.assert_dicts_equal(
             _make_bandit_historical_info_from_params(self.make_params_from_bandit_historical_info(historical_info)).json_payload(),
             historical_info.json_payload()
             )

    def test_hyperparameters_passed_through(self):
        """Test that the hyperparameters get passed through to the endpoint."""
        test_case = self.gp_test_environments[0]

        python_domain, python_gp = test_case
        python_cov, historical_data = python_gp.get_core_data_copy()

        # Test default test parameters get passed through
        json_payload = json.loads(self._build_json_payload(python_domain, python_cov, historical_data))

        request = pyramid.testing.DummyRequest(post=json_payload)
        request.json_body = json_payload
        view = GpHyperOptView(request)
        params = view.get_params_from_request()

        T.assert_dicts_equal(params['hyperparameter_domain_info'], json_payload['hyperparameter_domain_info'])

        # Test arbitrary parameters get passed through
        json_payload['hyperparameter_domain_info']['domain_bounds'] = []
        for i in range(json_payload['hyperparameter_domain_info']['dim']):
            json_payload['hyperparameter_domain_info']['domain_bounds'].append({
                'min': 0.2 * i,
                'max': 0.5 * i,
                })

        request = pyramid.testing.DummyRequest(post=json_payload)
        request.json_body = json_payload
        view = GpHyperOptView(request)
        params = view.get_params_from_request()

        T.assert_dicts_equal(params['hyperparameter_domain_info'], json_payload['hyperparameter_domain_info'])

 def test_two_arms_epsilon_zero(self):
     """Check that the two-arms case with zero epsilon always allocate arm1:1.0 and arm2:0.0 when average payoffs are arm1:1.0 and arm2:0.0."""
     epsilon = 0.0
     bandit = self.bandit_class(self.two_arms_test_case, epsilon)
     arms_to_allocations = bandit.allocate_arms()
     T.assert_dicts_equal(arms_to_allocations, {"arm1": 1.0, "arm2": 0.0})
     T.assert_equal(bandit.choose_arm(arms_to_allocations), "arm1")

 def test_list_path_with_non_leaf(self):
     """
     Given
         a path that contains a single non-leaf child node
     When
         path is listed
     Then
         return a single non-leaf node
     """
     with patch_urlopen() as mock_urlopen:
         mock_response = Mock()
         mock_response.read.return_value = """
         [
             {
                 "leaf": 0,
                 "context": {},
                 "text" : "servers",
                 "expandable": 1,
                 "id": "servers",
                 "allowChildren": 1
             }
         ]
         """
         mock_urlopen.return_value = mock_response
         result = self.ds.list_path(path=["a", "b", "c"])
         T.assert_equal(1, len(result))
         expected_servers_dict = {"type": "dir", "name": u"servers", "children": None}
         T.assert_dicts_equal(expected_servers_dict, result[0])
         mock_urlopen.assert_called_with(match(starts_with("http://dontcare.com:8080/metrics/find")))
         mock_urlopen.assert_called_with(match(contains_string("query=a.b.c.*")))

 def test_historical_data_append_unsampled_arm(self):
     """Test that adding an unsampled arm (already exists in historical info) to HistoricalData does not change anything."""
     historical_info = self.two_unsampled_arms_test_case
     historical_info.append_sample_arms(self.one_arm_test_case.arms_sampled)
     T.assert_dicts_equal(
             historical_info.json_payload(),
             self.two_unsampled_arms_test_case.json_payload()
             )

 def test_make_bandit_historical_info_from_params_make_bernoulli_arms(self):
     """Test that the function can make historical infos with Bernoulli arms."""
     historical_info = self.three_arms_with_variance_no_unsampled_arm_test_case
     for historical_info in self.bernoulli_historical_infos_to_test:
         T.assert_dicts_equal(
                 _make_bandit_historical_info_from_params(self.make_params_from_bandit_historical_info(historical_info), BernoulliArm).json_payload(),
                 historical_info.json_payload()
                 )

 def test_two_arms_one_winner(self):
     """Check that the two-arms case with random seed 0 always allocate arm1:1.0 and arm2:0.0."""
     old_state = numpy.random.get_state()
     numpy.random.seed(0)
     bandit = self.bandit_class(self.two_arms_test_case, DEFAULT_BLA_SUBTYPE)
     arms_to_allocations = bandit.allocate_arms()
     T.assert_dicts_equal(arms_to_allocations, {"arm1": 1.0, "arm2": 0.0})
     T.assert_equal(bandit.choose_arm(arms_to_allocations), "arm1")
     numpy.random.set_state(old_state)

    def test_data_multiple_metrics(self):
        sources = [["servers", "admin1", "loadavg", "01"], ["servers", "admin2", "loadavg", "01"]]
        start = 1391047920
        end = 1391048100

        with patch_urlopen() as mock_urlopen:
            mock_admin1_response = Mock()
            mock_admin1_response.read.return_value = """
            [
                {
                    "target": "servers.admin1.loadavg.01",
                    "datapoints": [
                        [2.0, 1391047920],
                        [6.0, 1391047980],
                        [9.0, 1391048040],
                        [null,1391048100]
                    ]
                }
            ]
            """

            mock_admin2_response = Mock()
            mock_admin2_response.read.return_value = """
            [
                {
                    "target": "servers.admin2.loadavg.01",
                    "datapoints": [
                        [1.0, 1391047920],
                        [7.0, 1391047980],
                        [10.0, 1391048040],
                        [null,1391048100]
                    ]
                }
            ]
            """
            mock_urlopen.side_effect = [mock_admin1_response, mock_admin2_response]
            result_json = self.ds.data(sources, start, end, width=100)
            # [null, 1391048100]

            expected_results = [
                {"t": 1391047920, "v": [2.0, 1.0]},
                {"t": 1391047980, "v": [6.0, 7.0]},
                {"t": 1391048040, "v": [9.0, 10.0]},
                {"t": 1391048100, "v": [None, None]},
            ]

            result_list = json.loads(result_json)
            T.assert_equal(4, len(result_list))

            for i, expected_result in enumerate(expected_results):
                T.assert_dicts_equal(expected_result, result_list[i])

            T.assert_equal(2, mock_urlopen.call_count)

    def test_no_hang(self, process_mock):
        """Test that nothing hangs if the processes are never used.

        The mechanics of this test are tricky: We make it such that a process
        pool is deleted, but this process pool has an overridden method that
        tells our test class that it actually cleaned up workers.
        """
        test_passes = {}
        processes = vimap.pool.fork(worker_proc.init_args(init=i) for i in [1, 2, 3])
        processes.finish_workers = lambda: test_passes.setdefault("result", True)
        del processes  # will happen if it falls out of scope
        # gc.collect() -- doesn't seem necessary
        T.assert_dicts_equal(test_passes, {"result": True})

    def test_historical_info_passed_through(self):
        """Test that the historical info get passed through to the endpoint."""
        for subtype in EPSILON_SUBTYPES:
            for historical_info in self.historical_infos_to_test:
                # Test default test parameters get passed through
                json_payload = json.loads(self._build_json_payload(subtype, historical_info, EPSILON_SUBTYPES_TO_DEFAULT_HYPERPARAMETER_INFOS[subtype]))

                request = pyramid.testing.DummyRequest(post=json_payload)
                request.json_body = json_payload
                view = BanditEpsilonView(request)
                params = view.get_params_from_request()

                T.assert_dicts_equal(params['historical_info'], json_payload['historical_info'])

    def _test_historical_info_passed_through(self):
        """Test that the historical infos get passed through to the endpoint."""
        for subtype in BANDIT_ENDPOINTS_TO_SUBTYPES[self._endpoint]:
            for historical_info in self._historical_infos:
                # Test default test parameters get passed through
                json_payload = json.loads(self._build_json_payload(subtype, historical_info))

                request = pyramid.testing.DummyRequest(post=json_payload)
                request.json_body = json_payload
                view = self._view(request)
                params = view.get_params_from_request()

                T.assert_dicts_equal(params['historical_info'], json_payload['historical_info'])

 def test_historical_data_append_arms(self):
     """Test that appending arms to HistoricalData updates historical info correctly."""
     historical_info = copy.deepcopy(self.three_arms_test_case)
     historical_info.append_sample_arms(self.three_arms_two_winners_test_case.arms_sampled)
     expected_historical_info = HistoricalData(
             sample_arms={
                 "arm1": SampleArm(win=4, loss=2, total=6),
                 "arm2": SampleArm(win=3, loss=2, total=5),
                 "arm3": SampleArm(win=0, loss=0, total=0),
                 }
             )
     T.assert_dicts_equal(
             historical_info.json_payload(),
             expected_historical_info.json_payload()
             )

    def test_data_single_metric(self):
        sources = [["servers", "admin1", "loadavg", "01"]]
        start = 1391047920
        end = 1391048100

        with patch_urlopen() as mock_urlopen:
            mock_response = Mock()
            mock_response.read.return_value = """
            [
                {
                    "target": "servers.admin1.loadavg.01",
                    "datapoints": [
                        [2.0, 1391047920],
                        [6.0, 1391047980],
                        [9.0, 1391048040],
                        [null,1391048100]
                    ]
                }
            ]
            """
            mock_urlopen.return_value = mock_response
            result_json = self.ds.data(sources, start, end, width=100)

            expected_results = [
                {"t": 1391047920, "v": [2.0]},
                {"t": 1391047980, "v": [6.0]},
                {"t": 1391048040, "v": [9.0]},
                {"t": 1391048100, "v": [None]},
            ]

            result_list = json.loads(result_json)
            T.assert_equal(4, len(result_list))

            for i, expected_result in enumerate(expected_results):
                T.assert_dicts_equal(expected_result, result_list[i])

            mock_urlopen.assert_called_with(match(starts_with("http://dontcare.com:8080/render")))
            mock_urlopen.assert_called_with(match(contains_string(".".join(sources[0]))))