#594: modified CI to check for missing beta not alpha

Author: ppebay

config/challenging-toy-fewer-tasks.yaml

@@ -10,9 +10,8 @@ overwrite_validator: false
 work_model:
   name: AffineCombination
   parameters:
-    alpha: 1.
-    beta: 0.
-    gamma: 0.
+    beta: 0.0
+    gamma: 0.0
     upper_bounds:
       max_memory_usage: 8.0e+9
 

tests/unit/Execution/test_lbs_runtime.py

@@ -87,11 +87,10 @@ def setUp(self):
             }
         }
         objects = phase.get_objects()
-        alpha = 0.0
         beta = 1.0
         gamma = 0.0
         n_ranks = 4
-        self.arrangements = compute_min_max_arrangements_work(objects, alpha, beta, gamma,
+        self.arrangements = compute_min_max_arrangements_work(objects, 0.0, beta, gamma,
                                                               n_ranks, logger=self.logger)[2]
         # Initialize the Runtime instances
         self.runtime = Runtime(

tests/unit/IO/test_configuration_validator.py

@@ -145,7 +145,7 @@ def test_config_validator_wrong_work_model_parameters_missing(self):
         with self.assertRaises(SchemaError) as err:
             ConfigurationValidator(config_to_validate=configuration, logger=get_logger()).main()
         self.assertEqual(err.exception.args[0], "Key 'work_model' error:\nKey 'parameters' error:\n"
-                                                "Missing key: 'alpha'")
+                                                "Missing key: 'beta'")
 
     def test_config_validator_wrong_work_model_parameters_type(self):
         with open(os.path.join(self.config_dir, "conf_wrong_work_model_parameters_type.yml"), "rt", encoding="utf-8") as config_file:

tests/unit/config/conf_wrong_work_model_parameters_missing.yml

@@ -8,7 +8,6 @@ from_data:
 work_model:
   name: AffineCombination
   parameters:
-    beta: 0.0
     gamma: 0.0
 
 # Specify algorithm