Address many unexpected warnings in pytest

idaes/apps/grid_integration/tests/test_bidder.py

@@ -11,18 +11,20 @@
 # for full copyright and license information.
 #################################################################################
 import pytest
+
 import pyomo.environ as pyo
+from pyomo.common import unittest as pyo_unittest
+
 from idaes.apps.grid_integration.bidder import Bidder
 from idaes.apps.grid_integration.tests.util import (
-    TestingModel,
-    TestingForecaster,
+    ExampleModel,
+    ExampleForecaster,
     testing_model_data,
 )
-from pyomo.common import unittest as pyo_unittest
 from idaes.apps.grid_integration.coordinator import prescient_avail
 
 
-class TestMissingModel:
+class MissingModel:
     """
     A class for testing missing methods and attributes.
     """
@@ -62,14 +64,14 @@ def __init__(self, missing_method=None, missing_attr=None):
 def test_model_object_missing_methods():
 
     solver = pyo.SolverFactory("cbc")
-    forecaster = TestingForecaster(prediction=30)
+    forecaster = ExampleForecaster(prediction=30)
 
     # By definition, the model object should contain these methods
     method_list = ["populate_model", "update_model"]
 
     # test if the correct error message is raised if a model misses necessary methods
     for m in method_list:
-        bidding_model_object = TestMissingModel(missing_method=m)
+        bidding_model_object = MissingModel(missing_method=m)
         with pytest.raises(AttributeError, match=r".*{}().*".format(m)):
             bidder_object = Bidder(
                 bidding_model_object=bidding_model_object,
@@ -85,14 +87,14 @@ def test_model_object_missing_methods():
 def test_model_object_missing_attr():
 
     solver = pyo.SolverFactory("cbc")
-    forecaster = TestingForecaster(prediction=30)
+    forecaster = ExampleForecaster(prediction=30)
 
     # By definition, the model object should contain these attributes
     attr_list = ["power_output", "total_cost", "model_data"]
 
     # test if the correct error message is raised if a model misses necessary attributes
     for attr in attr_list:
-        bidding_model_object = TestMissingModel(missing_attr=attr)
+        bidding_model_object = MissingModel(missing_attr=attr)
         with pytest.raises(AttributeError, match=r".*{}().*".format(attr)):
             bidder_object = Bidder(
                 bidding_model_object=bidding_model_object,
@@ -108,8 +110,8 @@ def test_model_object_missing_attr():
 def test_n_scenario_checker():
 
     solver = pyo.SolverFactory("cbc")
-    forecaster = TestingForecaster(prediction=30)
-    bidding_model_object = TestingModel(model_data=testing_model_data)
+    forecaster = ExampleForecaster(prediction=30)
+    bidding_model_object = ExampleModel(model_data=testing_model_data)
 
     # test if bidder raise error when negative number of scenario is given
     with pytest.raises(ValueError, match=r".*greater than zero.*"):
@@ -137,8 +139,8 @@ def test_n_scenario_checker():
 @pytest.mark.unit
 def test_solver_checker():
 
-    forecaster = TestingForecaster(prediction=30)
-    bidding_model_object = TestingModel(model_data=testing_model_data)
+    forecaster = ExampleForecaster(prediction=30)
+    bidding_model_object = ExampleModel(model_data=testing_model_data)
 
     # test if bidder raise error when invalid solver is provided
     invalid_solvers = [5, "cbc", "ipopt"]
@@ -158,10 +160,10 @@ def test_solver_checker():
 def bidder_object():
 
     solver = pyo.SolverFactory("cbc")
-    forecaster = TestingForecaster(prediction=30)
+    forecaster = ExampleForecaster(prediction=30)
 
     # create a bidder model
-    bidding_model_object = TestingModel(model_data=testing_model_data)
+    bidding_model_object = ExampleModel(model_data=testing_model_data)
     bidder_object = Bidder(
         bidding_model_object=bidding_model_object,
         day_ahead_horizon=day_ahead_horizon,
@@ -299,11 +301,11 @@ def test_compute_RT_bids(bidder_object):
 def bidder_object_pcost():
 
     solver = pyo.SolverFactory("cbc")
-    forecaster = TestingForecaster(prediction=30)
+    forecaster = ExampleForecaster(prediction=30)
 
     # create a bidder model
     testing_model_data.include_default_p_cost = False
-    bidding_model_object = TestingModel(model_data=testing_model_data)
+    bidding_model_object = ExampleModel(model_data=testing_model_data)
     bidder_object = Bidder(
         bidding_model_object=bidding_model_object,
         day_ahead_horizon=day_ahead_horizon,

idaes/apps/grid_integration/tests/test_coordinator.py

@@ -13,18 +13,19 @@
 import pytest
 
 import pyomo.environ as pyo
+from pyomo.common import unittest as pyo_unittest
+
 from idaes.apps.grid_integration.bidder import Bidder
 from idaes.apps.grid_integration.tracker import Tracker
 from idaes.apps.grid_integration.coordinator import DoubleLoopCoordinator
 from idaes.apps.grid_integration.tests.util import (
-    TestingModel,
-    TestingForecaster,
+    ExampleModel,
+    ExampleForecaster,
     testing_model_data,
     testing_renewable_data,
     renewable_generator_params,
     testing_generator_params,
 )
-from pyomo.common import unittest as pyo_unittest
 
 tracking_horizon = 4
 day_ahead_bidding_horizon = 48
@@ -46,7 +47,7 @@ def coordinator_object(request):
     else:
         model_data = testing_renewable_data
 
-    tracking_model_object = TestingModel(model_data=model_data)
+    tracking_model_object = ExampleModel(model_data=model_data)
     thermal_tracker = Tracker(
         tracking_model_object=tracking_model_object,
         tracking_horizon=tracking_horizon,
@@ -55,7 +56,7 @@ def coordinator_object(request):
     )
 
     # make a projection tracker
-    projection_tracking_model_object = TestingModel(model_data=model_data)
+    projection_tracking_model_object = ExampleModel(model_data=model_data)
     thermal_projection_tracker = Tracker(
         tracking_model_object=projection_tracking_model_object,
         tracking_horizon=tracking_horizon,
@@ -64,8 +65,8 @@ def coordinator_object(request):
     )
 
     ## create a bidder
-    forecaster = TestingForecaster(prediction=30)
-    bidding_model_object = TestingModel(model_data=model_data)
+    forecaster = ExampleForecaster(prediction=30)
+    bidding_model_object = ExampleModel(model_data=model_data)
     thermal_bidder = Bidder(
         bidding_model_object=bidding_model_object,
         day_ahead_horizon=day_ahead_bidding_horizon,

idaes/apps/grid_integration/tests/test_integration.py

@@ -19,10 +19,6 @@
 
 import pytest
 
-
-# define custom type for type hinting
-PrescientOptions = Dict[str, Union[str, bool, Number, dict]]
-
 from idaes.apps.grid_integration import DoubleLoopCoordinator
 from idaes.apps.grid_integration.tests.util import (
     make_testing_tracker,
@@ -41,6 +37,9 @@
     projection_tracker=thermal_projection_tracker,
 )
 
+# define custom type for type hinting
+PrescientOptions = Dict[str, Union[str, bool, Number, dict]]
+
 
 class TestDoubleLoopIntegration:
     "Integration test for the double loop using 5bus use case."

idaes/apps/grid_integration/tests/test_tracker.py

@@ -13,10 +13,10 @@
 import pytest
 import pyomo.environ as pyo
 from idaes.apps.grid_integration.tracker import Tracker
-from idaes.apps.grid_integration.tests.util import TestingModel, testing_model_data
+from idaes.apps.grid_integration.tests.util import ExampleModel, testing_model_data
 
 
-class TestMissingModel:
+class MissingModel:
     """
     A class for testing missing methods and attributes.
     """
@@ -68,7 +68,7 @@ def test_model_object_missing_methods():
 
     # test if the correct error message is raised if a model misses necessary methods
     for m in method_list:
-        tracking_model_object = TestMissingModel(missing_method=m)
+        tracking_model_object = MissingModel(missing_method=m)
         with pytest.raises(AttributeError, match=r".*{}().*".format(m)):
             tracker_object = Tracker(
                 tracking_model_object=tracking_model_object,
@@ -87,7 +87,7 @@ def test_model_object_missing_attr():
 
     # test if the correct error message is raised if a model misses necessary attributes
     for a in attr_list:
-        tracking_model_object = TestMissingModel(missing_attr=a)
+        tracking_model_object = MissingModel(missing_attr=a)
         with pytest.raises(AttributeError, match=r".*{}.*".format(a)):
             tracker_object = Tracker(
                 tracking_model_object=tracking_model_object,
@@ -100,7 +100,7 @@ def test_model_object_missing_attr():
 @pytest.mark.unit
 def test_n_tracking_hour_checker():
     solver = pyo.SolverFactory("cbc")
-    tracking_model_object = TestingModel(model_data=testing_model_data)
+    tracking_model_object = ExampleModel(model_data=testing_model_data)
 
     # test if tracker raise error when negative number of hours is given
     n_tracking_hour = -1
@@ -126,7 +126,7 @@ def test_n_tracking_hour_checker():
 @pytest.mark.unit
 def test_solver_checker():
     n_tracking_hour = 1
-    tracking_model_object = TestingModel(model_data=testing_model_data)
+    tracking_model_object = ExampleModel(model_data=testing_model_data)
 
     # test if bidder raise error when invalid solver is provided
     invalid_solvers = [5, "cbc", "ipopt"]
@@ -146,7 +146,7 @@ def tracker_object():
     solver = pyo.SolverFactory("cbc")
 
     # create a tracker model
-    tracking_model_object = TestingModel(model_data=testing_model_data)
+    tracking_model_object = ExampleModel(model_data=testing_model_data)
     tracker_object = Tracker(
         tracking_model_object=tracking_model_object,
         tracking_horizon=horizon,

idaes/apps/grid_integration/tests/util.py

@@ -22,7 +22,7 @@
 )
 
 
-class TestingModel:
+class ExampleModel:
     """
     Simple model object for testing.
     """
@@ -256,7 +256,7 @@ def total_cost(self):
         return ("tot_cost", 1)
 
 
-class TestingForecaster(AbstractPrescientPriceForecaster):
+class ExampleForecaster(AbstractPrescientPriceForecaster):
     """
     A fake forecaster class for testing.
     """
@@ -345,7 +345,7 @@ def make_testing_forecaster():
         forecaster: a forecaster object for testing.
     """
 
-    return TestingForecaster(prediction=30)
+    return ExampleForecaster(prediction=30)
 
 
 def make_testing_tracker():
@@ -359,7 +359,7 @@ def make_testing_tracker():
         thermal_tracker: a tracker object for testing.
     """
 
-    tracking_model_object = TestingModel(model_data=testing_model_data)
+    tracking_model_object = ExampleModel(model_data=testing_model_data)
     thermal_tracker = Tracker(
         tracking_model_object=tracking_model_object,
         tracking_horizon=tracking_horizon,
@@ -383,7 +383,7 @@ def make_testing_bidder():
 
     forecaster = make_testing_forecaster()
 
-    bidding_model_object = TestingModel(model_data=testing_model_data)
+    bidding_model_object = ExampleModel(model_data=testing_model_data)
     thermal_bidder = Bidder(
         bidding_model_object=bidding_model_object,
         day_ahead_horizon=day_ahead_bidding_horizon,
@@ -409,7 +409,7 @@ def make_testing_selfscheduler():
 
     forecaster = make_testing_forecaster()
 
-    bidding_model_object = TestingModel(model_data=testing_model_data)
+    bidding_model_object = ExampleModel(model_data=testing_model_data)
     self_scheduler = SelfScheduler(
         bidding_model_object=bidding_model_object,
         day_ahead_horizon=day_ahead_bidding_horizon,

idaes/apps/matopt/opt/pyomo_modeling.py

@@ -1462,11 +1462,11 @@ def addConsZicFromYiLifted(m, blnConfsAreMutExc=True, blnConfsAreColExh=False):
                         for c in m.Zic[i, :].wildcard_keys()
                         if m.Confs[c][l] is None
                     )
-                    if PosZic is not 0:
+                    if PosZic != 0:
                         m.AssignZicFromYiLifted1.add(
                             index=(i, j), expr=(PosZic <= m.Yi[j])
                         )
-                    if NegZic is not 0:
+                    if NegZic != 0:
                         m.AssignZicFromYiLifted2.add(
                             index=(i, j), expr=(NegZic <= 1 - m.Yi[j])
                         )
@@ -1584,11 +1584,11 @@ def addConsZicFromYikLifted(m, blnConfsAreMutExc=True, blnConfsAreColExh=False):
                             for c in m.Zic[i, :].wildcard_keys()
                             if m.Confs[c][l] != k
                         )
-                        if PosZic is not 0:
+                        if PosZic != 0:
                             m.AssignZicFromYikLifted1.add(
                                 index=(i, j, k), expr=(PosZic <= m.Yik[j, k])
                             )
-                        if NegZic is not 0:
+                        if NegZic != 0:
                             m.AssignZicFromYikLifted2.add(
                                 index=(i, j, k), expr=(NegZic <= 1 - m.Yik[j, k])
                             )

idaes/core/base/tests/test_components.py

@@ -16,6 +16,7 @@
 Author: Andrew Lee
 """
 import pytest
+import re
 import types
 
 from pyomo.environ import ConcreteModel, Set, Param, Var, units as pyunits
@@ -84,19 +85,23 @@ def test_populate_component_list(self, m):
     def test_is_solute(self, m):
         with pytest.raises(
             TypeError,
-            match="comp Generic Component objects do not "
-            "support is_solute\(\) method. Use a Solvent or "
-            "Solute Component instead.",
+            match=re.escape(
+                "comp Generic Component objects do not "
+                "support is_solute() method. Use a Solvent or "
+                "Solute Component instead."
+            ),
         ):
             m.comp.is_solute()
 
     @pytest.mark.unit
     def test_is_solvent(self, m):
         with pytest.raises(
             TypeError,
-            match="comp Generic Component objects do not "
-            "support is_solvent\(\) method. Use a Solvent or "
-            "Solute Component instead.",
+            match=re.escape(
+                "comp Generic Component objects do not "
+                "support is_solvent() method. Use a Solvent or "
+                "Solute Component instead."
+            ),
         ):
             m.comp.is_solvent()
 

idaes/core/base/tests/test_control_volume_1d.py

@@ -16,6 +16,8 @@
 Author: Andrew Lee
 """
 import pytest
+import re
+
 from pyomo.environ import (
     ConcreteModel,
     Constraint,
@@ -418,7 +420,7 @@ def test_add_geometry_length_var_indexed():
 
     with pytest.raises(
         ConfigurationError,
-        match="fs.cv length_var must be a scalar \(unindexed\) component.",
+        match=re.escape("fs.cv length_var must be a scalar (unindexed) component."),
     ):
         m.fs.cv.add_geometry(length_var=m.fs.length)
 
@@ -2310,9 +2312,11 @@ def test_add_total_component_balances_in_rxns_no_idx():
 
     with pytest.raises(
         PropertyNotSupportedError,
-        match="fs.cv Property package does not contain a "
-        "list of inherent reactions \(inherent_reaction_idx\), "
-        "but include_inherent_reactions is True.",
+        match=re.escape(
+            "fs.cv Property package does not contain a "
+            "list of inherent reactions (inherent_reaction_idx), "
+            "but include_inherent_reactions is True."
+        ),
     ):
         m.fs.cv.add_total_component_balances()