test iP

multiview_platform/mono_multi_view_classifiers/utils/get_multiview_db.py

@@ -310,7 +310,7 @@ def get_classic_db_hdf5(views, path_f, name_DB, nb_class, asked_labels_names,
                                                         noise_std)
     else:
         pass
-    return dataset, labels_dictionary, dataset_name
+    return dataset_file, labels_dictionary, dataset_name
 
 
 def add_gaussian_noise(dataset_file, random_state, path_f, dataset_name,

multiview_platform/tests/test_ExecClassif.py

@@ -6,7 +6,7 @@ import numpy as np
 
 from .utils import rm_tmp, tmp_path
 
-from ..mono_multi_view_classifiers import exec_classif
+from multiview_platform.mono_multi_view_classifiers import exec_classif
 
 
 class Test_initBenchmark(unittest.TestCase):
@@ -232,7 +232,7 @@ class Test_execBenchmark(unittest.TestCase):
     @classmethod
     def setUpClass(cls):
         rm_tmp()
-        os.mkdir("multiview_platform/tests/tmp_tests")
+        os.mkdir("./tests/tmp_tests")
         cls.Dataset = h5py.File(
             tmp_path+"test_file.hdf5", "w")
         cls.labels = cls.Dataset.create_dataset("Labels",
@@ -333,10 +333,10 @@ class FakeKfold():
 class Test_execOneBenchmark(unittest.TestCase):
 
     @classmethod
-
     def setUp(cls):
         rm_tmp()
-        os.mkdir("multiview_platform/tests/tmp_tests")
+        print(os.getcwd())
+        os.mkdir("../tests/tmp_tests")
         cls.args = {
             "Base": {"name": "chicken_is_heaven", "type": "type",
                      "pathf": "pathF"},
@@ -403,7 +403,7 @@ class Test_execOneBenchmark_multicore(unittest.TestCase):
     @classmethod
     def setUpClass(cls):
         rm_tmp()
-        os.mkdir("multiview_platform/tests/tmp_tests")
+        os.mkdir("./tests/tmp_tests")
         cls.args = {
             "Base": {"name": "chicken_is_heaven", "type": "type",
                      "pathf": "pathF"},
@@ -809,3 +809,6 @@ class Test_get_path_dict(unittest.TestCase):
 #     suite.addTest(Test_initBenchmark('test_initKWARGSFunc_no_monoview'))
 #     # suite.addTest(WidgetTestCase('test_widget_resize'))
 #     return suite
+
+if __name__ == '__main__':
+    unittest.main()
\ No newline at end of file

multiview_platform/tests/test_multiview_classifiers/test_additions/test_diversity_utils.py

@@ -68,3 +68,7 @@ class Test_DiversityFusion(unittest.TestCase):
                                classifier_names=self.classifier_names,
                                classifiers_config=self.classifiers_config)
         clf.fit(self.X, self.y, self.train_indices, self.views_indices)
+
+
+if __name__ == '__main__':
+    unittest.main()
\ No newline at end of file

multiview_platform/tests/test_utils/test_configuration.py

@@ -13,7 +13,7 @@ class Test_get_the_args(unittest.TestCase):
     def setUpClass(cls):
         rm_tmp()
         cls.path_to_config_file = tmp_path+"config_temp.yml"
-        os.mkdir("multiview_platform/tests/tmp_tests")
+        os.mkdir("./multiview_platform/tests/tmp_tests")
         data = {"Base":{"first_arg": 10, "second_arg":[12.5, 1e-06]}, "Classification":{"third_arg":True}}
         with open(cls.path_to_config_file, "w") as config_file:
             yaml.dump(data, config_file)
@@ -74,3 +74,5 @@ class Test_get_the_args(unittest.TestCase):
 #         value = configuration.format_raw_arg("list_str ; list string")
 #         self.assertEqual(value, ["list", "string"])
 
+if __name__ == '__main__':
+    unittest.main()
\ No newline at end of file

multiview_platform/tests/test_utils/test_dataset.py

@@ -95,3 +95,6 @@ class Test_Dataset(unittest.TestCase):
         self.assertEqual(dataset_object.get_view_dict(), {"ViewN0":0,
                                                           "ViewN1": 1,
                                                           "ViewN2": 2,})
+
+if __name__ == '__main__':
+    unittest.main()
\ No newline at end of file

multiview_platform/tests/test_utils/test_execution.py

@@ -225,3 +225,6 @@ class Test_genArgumentDictionaries(unittest.TestCase):
                                 np.array([0, 1, -100, 0, 1])]
         cls.labelsCombinations = [[0, 1], [0, 2], [1, 2]]
         cls.indicesMulticlass = [[[[], []], [[], []], [[], []]], [[], [], []]]
+
+if __name__ == '__main__':
+    unittest.main()
\ No newline at end of file

multiview_platform/tests/test_utils/test_hyper_parameter_search.py

@@ -56,3 +56,9 @@ class Test_randomized_search(unittest.TestCase):
             self.dataset_file, self.labels.value, "multiview", self.random_state, tmp_path,
             weighted_linear_early_fusion, "WeightedLinearEarlyFusion", self.k_folds,
         1, ["accuracy_score", None], 2, {}, learning_indices=self.learning_indices)
+
+
+if __name__ == '__main__':
+    # unittest.main()
+    suite = unittest.TestLoader().loadTestsFromTestCase(Test_randomized_search)
+    unittest.TextTestRunner(verbosity=2).run(suite)
\ No newline at end of file

multiview_platform/tests/test_utils/test_multiclass.py

@@ -43,3 +43,6 @@ class Test_genMulticlassLabels(unittest.TestCase):
                                                 -100,
                                                 1, -100, 0, 0, 1, 0, -100, 0,
                                                 -100]))
+
+if __name__ == '__main__':
+    unittest.main()
\ No newline at end of file