Merge pull request #3962 from jsiirola/parmest-test-guards

Testing: add missing Ipopt guards (parmest); add GHA nosolvers test

Author: blnicho

.github/workflows/test_branches.yml

@@ -150,10 +150,11 @@ jobs:
         - os: ubuntu-latest
           python: '3.10'
           other: /slim
-          slim: 1
+          slim: 2
           TARGET: linux
           PYENV: pip
 
+
     steps:
     - name: Checkout Pyomo source
       uses: actions/checkout@v6
@@ -168,7 +169,7 @@ jobs:
             echo "GHA_JOBGROUP=other" >> $GITHUB_ENV
         fi
         EXTRAS=tests
-        if test -z "${{matrix.slim}}"; then
+        if test -z "${{matrix.slim}}" -o "${{matrix.slim}}" = 1; then
             EXTRAS="$EXTRAS,docs,optional"
         fi
         echo "EXTRAS=$EXTRAS" >> $GITHUB_ENV

.github/workflows/test_pr_and_main.yml

@@ -161,6 +161,13 @@ jobs:
         - os: ubuntu-latest
           python: '3.10'
           other: /slim
+          slim: 2
+          TARGET: linux
+          PYENV: pip
+
+        - os: ubuntu-latest
+          python: 3.13
+          other: /nosolvers
           slim: 1
           TARGET: linux
           PYENV: pip
@@ -215,7 +222,7 @@ jobs:
             echo "GHA_JOBGROUP=other" >> $GITHUB_ENV
         fi
         EXTRAS=tests
-        if test -z "${{matrix.slim}}"; then
+        if test -z "${{matrix.slim}}" -o "${{matrix.slim}}" = 1; then
             EXTRAS="$EXTRAS,docs,optional"
         fi
         echo "EXTRAS=$EXTRAS" >> $GITHUB_ENV

pyomo/contrib/parmest/tests/test_parmest.py

@@ -1539,6 +1539,7 @@ def test_l2_objective_value_matches_manual_quadratic(self):
 
         self.assertAlmostEqual(pyo.value(expr), expected)
 
+    @unittest.skipUnless(ipopt_available, "Test requires ipopt")
     def test_l2_penalty_not_double_counted_across_scenarios(self):
         # Confirms regularization is applied once at the estimator level,
         # not once per scenario.
@@ -1591,6 +1592,7 @@ def test_user_specified_unsupported_regularization_raises(self):
                 exp_list, obj_function="SSE", regularization=lambda m: m.theta0**2
             )
 
+    @unittest.skipUnless(ipopt_available, "Test requires ipopt")
     def test_l2_lambda_zero_matches_unregularized_objective(self):
         exp_list = [self.LinearExperiment(1.0, 1.0), self.LinearExperiment(2.0, 2.0)]
         prior_fim = pd.DataFrame(
@@ -1615,6 +1617,7 @@ def test_l2_lambda_zero_matches_unregularized_objective(self):
             obj_l2_zero = self._obj_at_theta(pest_l2_zero, theta0, theta1)
             self.assertAlmostEqual(obj_l2_zero, obj_base)
 
+    @unittest.skipUnless(ipopt_available, "Test requires ipopt")
     def test_prior_subset_penalizes_only_selected_parameter(self):
         # Prior indexed only by theta1 should leave theta0 unpenalized.
         exp_list = [self.LinearExperiment(1.0, 1.0)]
@@ -1976,6 +1979,7 @@ def test_l2_weighted_objective_applies_half_regularization_factor(self):
 
         self.assertAlmostEqual(pyo.value(expr), expected)
 
+    @unittest.skipUnless(ipopt_available, "Test requires ipopt")
     def test_indexed_unknown_parameters_regularization_uses_scalar_theta_names(self):
         exp_list = [IndexedThetaExperiment(2.0, 5.0)]
         prior_fim = pd.DataFrame(