implemented some sort of unit test. should be improved

Author: janvanrijn

tests/test_runs/test_run_functions.py

@@ -2,6 +2,8 @@
 
 import openml
 import openml.exceptions
+import json
+
 from openml.testing import TestBase
 from openml.runs.functions import _run_task_get_arffcontent
 
@@ -39,7 +41,22 @@ def _perform_run(self, task_id, num_instances, clf, check_setup=True):
             run_id = run_.run_id
             run_prime = openml.runs.get_run(run_id)
             clf_prime = openml.setups.initialize_model(run_prime.setup_id)
-            self.assertEquals(clf.get_params(), clf_prime.get_params())
+
+            params_orig = clf.get_params()
+            params_serv = clf_prime.get_params()
+            self.assertEqual(params_orig.keys(), params_serv.keys())
+
+            for param in params_orig:
+                print("%s : %s" %(param, str(params_serv[param])))
+                try:
+                    value_orig = json.dumps(params_orig[param])
+                    value_serv = json.dumps(params_serv[param])
+                    self.assertEqual(value_orig, value_serv)
+                except TypeError:
+                    # TODO: think of a different check
+                    print('Object not json serializable')
+
+            #self.assertEquals(clf.get_params(), clf_prime.get_params())
             # self.assertEquals(clf, clf_prime)
 
         return run