update tests - use new dict based input for set*() methods

Author: syntron

tests/test_ModelicaSystem.py

@@ -35,8 +35,8 @@ def test_setParameters():
     mod = OMPython.ModelicaSystem(model_path + "BouncingBall.mo", "BouncingBall")
 
     # method 1
-    mod.setParameters("e=1.234")
-    mod.setParameters("g=321.0")
+    mod.setParameters(pvals={"e": 1.234})
+    mod.setParameters(pvals={"g": 321.0})
     assert mod.getParameters("e") == ["1.234"]
     assert mod.getParameters("g") == ["321.0"]
     assert mod.getParameters() == {
@@ -47,7 +47,7 @@ def test_setParameters():
         mod.getParameters("thisParameterDoesNotExist")
 
     # method 2
-    mod.setParameters(["e=21.3", "g=0.12"])
+    mod.setParameters(pvals={"e": 21.3, "g": 0.12})
     assert mod.getParameters() == {
         "e": "21.3",
         "g": "0.12",
@@ -64,8 +64,8 @@ def test_setSimulationOptions():
     mod = OMPython.ModelicaSystem(fileName=model_path + "BouncingBall.mo", modelName="BouncingBall")
 
     # method 1
-    mod.setSimulationOptions("stopTime=1.234")
-    mod.setSimulationOptions("tolerance=1.1e-08")
+    mod.setSimulationOptions(simOptions={"stopTime": 1.234})
+    mod.setSimulationOptions(simOptions={"tolerance": 1.1e-08})
     assert mod.getSimulationOptions("stopTime") == ["1.234"]
     assert mod.getSimulationOptions("tolerance") == ["1.1e-08"]
     assert mod.getSimulationOptions(["tolerance", "stopTime"]) == ["1.1e-08", "1.234"]
@@ -77,7 +77,7 @@ def test_setSimulationOptions():
         mod.getSimulationOptions("thisOptionDoesNotExist")
 
     # method 2
-    mod.setSimulationOptions(["stopTime=2.1", "tolerance=1.2e-08"])
+    mod.setSimulationOptions(simOptions={"stopTime": 2.1, "tolerance": "1.2e-08"})
     d = mod.getSimulationOptions()
     assert d["stopTime"] == "2.1"
     assert d["tolerance"] == "1.2e-08"
@@ -119,7 +119,7 @@ def test_getSolutions(model_firstorder):
     a = -1
     tau = -1 / a
     stopTime = 5*tau
-    mod.setSimulationOptions([f"stopTime={stopTime}", "stepSize=0.1", "tolerance=1e-8"])
+    mod.setSimulationOptions(simOptions={"stopTime": stopTime, "stepSize": 0.1, "tolerance": 1e-8})
     mod.simulate()
 
     x = mod.getSolutions("x")
@@ -298,7 +298,7 @@ def test_getters(tmp_path):
     x0 = 1.0
     x_analytical = -b/a + (x0 + b/a) * np.exp(a * stopTime)
     dx_analytical = (x0 + b/a) * a * np.exp(a * stopTime)
-    mod.setSimulationOptions(f"stopTime={stopTime}")
+    mod.setSimulationOptions(simOptions={"stopTime": stopTime})
     mod.simulate()
 
     # getOutputs after simulate()
@@ -327,7 +327,7 @@ def test_getters(tmp_path):
         mod.getContinuous("a")  # a is a parameter
 
     with pytest.raises(OMPython.ModelicaSystemError):
-        mod.setSimulationOptions("thisOptionDoesNotExist=3")
+        mod.setSimulationOptions(simOptions={"thisOptionDoesNotExist": 3})
 
 
 def test_simulate_inputs(tmp_path):
@@ -345,7 +345,7 @@ def test_simulate_inputs(tmp_path):
 """)
     mod = OMPython.ModelicaSystem(fileName=model_file.as_posix(), modelName="M_input")
 
-    mod.setSimulationOptions("stopTime=1.0")
+    mod.setSimulationOptions(simOptions={"stopTime": 1.0})
 
     # integrate zero (no setInputs call) - it should default to None -> 0
     assert mod.getInputs() == {

tests/test_linearization.py

@@ -62,7 +62,7 @@ def test_getters(tmp_path):
     assert "startTime" in d
     assert "stopTime" in d
     assert mod.getLinearizationOptions(["stopTime", "startTime"]) == [d["stopTime"], d["startTime"]]
-    mod.setLinearizationOptions("stopTime=0.02")
+    mod.setLinearizationOptions(linearizationOptions={"stopTime": 0.02})
     assert mod.getLinearizationOptions("stopTime") == ["0.02"]
 
     mod.setInputs(["u1=10", "u2=0"])

tests/test_optimization.py

@@ -35,13 +35,15 @@ def test_optimization_example(tmp_path):
 
     mod = OMPython.ModelicaSystem(fileName=model_file.as_posix(), modelName="BangBang2021")
 
-    mod.setOptimizationOptions(["numberOfIntervals=16", "stopTime=1",
-                                "stepSize=0.001", "tolerance=1e-8"])
+    mod.setOptimizationOptions(optimizationOptions={"numberOfIntervals": 16,
+                                                    "stopTime": 1,
+                                                    "stepSize": 0.001,
+                                                    "tolerance": 1e-8})
 
     # test the getter
     assert mod.getOptimizationOptions()["stopTime"] == "1"
     assert mod.getOptimizationOptions("stopTime") == ["1"]
-    assert mod.getOptimizationOptions(["tolerance", "stopTime"]) == ["1e-8", "1"]
+    assert mod.getOptimizationOptions(["tolerance", "stopTime"]) == ["1e-08", "1"]
 
     r = mod.optimize()
     # it is necessary to specify resultfile, otherwise it wouldn't find it.