Remove Octeract from the list of expected NEOS solvers (and other infrastructure fixes)

.github/workflows/test_branches.yml

@@ -75,13 +75,19 @@ jobs:
         other: [""]
         category: [""]
 
+        # win/3.8 conda builds no longer work due to environment not being able
+        # to resolve. We are skipping it now.
+        exclude:
+        - os: windows-latest
+          python: 3.8
+
         include:
         - os: ubuntu-latest
           python: '3.12'
           TARGET: linux
           PYENV: pip
 
-        - os: macos-13
+        - os: macos-latest
           python: '3.10'
           TARGET: osx
           PYENV: pip
@@ -215,6 +221,7 @@ jobs:
       if: matrix.TARGET == 'win'
       run: |
         echo "SETUPTOOLS_USE_DISTUTILS=local" >> $GITHUB_ENV
+        choco install pkgconfiglite
 
     - name: Set up Python ${{ matrix.python }}
       if: matrix.PYENV == 'pip'
@@ -352,6 +359,10 @@ jobs:
         done
         echo ""
         echo "*** Install Pyomo dependencies ***"
+        # For windows, cannot use newer setuptools because of APPSI compilation issues
+        if test "${{matrix.TARGET}}" == 'win'; then
+            CONDA_DEPENDENCIES="$CONDA_DEPENDENCIES setuptools<74.0.0"
+        fi
         # Note: this will fail the build if any installation fails (or
         # possibly if it outputs messages to stderr)
         conda install --update-deps -q -y $CONDA_DEPENDENCIES

.github/workflows/test_pr_and_main.yml

@@ -67,7 +67,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-latest, macos-13, windows-latest]
+        os: [ubuntu-latest, macos-latest, windows-latest]
         python: [ 3.8, 3.9, '3.10', '3.11', '3.12' ]
         other: [""]
         category: [""]
@@ -77,12 +77,13 @@ jobs:
         exclude:
         - os: windows-latest
           python: 3.8
+
         include:
         - os: ubuntu-latest
           TARGET: linux
           PYENV: pip
 
-        - os: macos-13
+        - os: macos-latest
           TARGET: osx
           PYENV: pip
 
@@ -108,14 +109,6 @@ jobs:
           PYENV: conda
           PACKAGES: openmpi mpi4py
 
-        - os: ubuntu-latest
-          python: '3.11'
-          other: /singletest
-          category: "-m 'neos or importtest'"
-          skip_doctest: 1
-          TARGET: linux
-          PYENV: pip
-
         - os: ubuntu-latest
           python: '3.10'
           other: /cython
@@ -132,6 +125,14 @@ jobs:
           TARGET: win
           PYENV: pip
 
+        - os: ubuntu-latest
+          python: '3.11'
+          other: /singletest
+          category: "-m 'neos or importtest'"
+          skip_doctest: 1
+          TARGET: linux
+          PYENV: pip
+
         - os: ubuntu-latest
           python: 3.8
           other: /slim
@@ -243,6 +244,7 @@ jobs:
       if: matrix.TARGET == 'win'
       run: |
         echo "SETUPTOOLS_USE_DISTUTILS=local" >> $GITHUB_ENV
+        choco install pkgconfiglite
 
     - name: Set up Python ${{ matrix.python }}
       if: matrix.PYENV == 'pip'
@@ -380,6 +382,10 @@ jobs:
         done
         echo ""
         echo "*** Install Pyomo dependencies ***"
+        # For windows, cannot use newer setuptools because of APPSI compilation issues
+        if test "${{matrix.TARGET}}" == 'win'; then
+            CONDA_DEPENDENCIES="$CONDA_DEPENDENCIES setuptools<74.0.0"
+        fi
         # Note: this will fail the build if any installation fails (or
         # possibly if it outputs messages to stderr)
         conda install --update-deps -q -y $CONDA_DEPENDENCIES

examples/pyomobook/gdp-ch/gdp_uc.py

@@ -116,3 +116,9 @@ def obj(m):
 @model.Constraint(model.GENERATORS)
 def nontrivial(m, g):
     return sum(m.Power[g, t] for t in m.TIME) >= len(m.TIME) / 2 * m.MinPower[g]
+
+
+@model.ConstraintList()
+def nondegenerate(m):
+    for i, g in enumerate(m.GENERATORS):
+        yield m.Power[g, i + 1] == 0

examples/pyomobook/gdp-ch/pyomo.gdp_uc.txt

@@ -22,9 +22,9 @@ Problem:
   Lower bound: 45.0
   Upper bound: 45.0
   Number of objectives: 1
-  Number of constraints: 58
+  Number of constraints: 60
   Number of variables: 24
-  Number of nonzeros: 124
+  Number of nonzeros: 126
   Sense: minimize
 # ----------------------------------------------------------
 #   Solver Information
@@ -34,8 +34,8 @@ Solver:
   Termination condition: optimal
   Statistics: 
     Branch and bound: 
-      Number of bounded subproblems: 15
-      Number of created subproblems: 15
+      Number of bounded subproblems: 9
+      Number of created subproblems: 9
   Error rc: 0
   Time: 0.007754325866699219
 # ----------------------------------------------------------
@@ -51,24 +51,24 @@ Solution:
     obj:
       Value: 45
   Variable:
-    GenOff[g1,2].binary_indicator_var:
+    GenOff[g1,1].binary_indicator_var:
       Value: 1
-    GenOff[g2,1].binary_indicator_var:
+    GenOff[g2,2].binary_indicator_var:
       Value: 1
-    GenOn[g1,1].binary_indicator_var:
+    GenOn[g1,3].binary_indicator_var:
       Value: 1
-    GenOn[g2,3].binary_indicator_var:
+    GenOn[g2,1].binary_indicator_var:
       Value: 1
-    GenStartup[g1,3].binary_indicator_var:
+    GenStartup[g1,2].binary_indicator_var:
       Value: 1
-    GenStartup[g2,2].binary_indicator_var:
+    GenStartup[g2,3].binary_indicator_var:
       Value: 1
-    Power[g1,1]:
-      Value: 10
-    Power[g1,3]:
+    Power[g1,2]:
       Value: 5
-    Power[g2,2]:
+    Power[g1,3]:
       Value: 10
-    Power[g2,3]:
+    Power[g2,1]:
       Value: 20
+    Power[g2,3]:
+      Value: 10
   Constraint: No values

pyomo/contrib/fme/tests/test_fourier_motzkin_elimination.py

@@ -562,7 +562,7 @@ def test_post_processing(self):
         fme = TransformationFactory('contrib.fourier_motzkin_elimination')
         fme.apply_to(m, vars_to_eliminate=disaggregatedVars, do_integer_arithmetic=True)
         # post-process
-        fme.post_process_fme_constraints(m, SolverFactory('glpk'))
+        fme.post_process_fme_constraints(m, SolverFactory('glpk'), tolerance=-1e-6)
 
         constraints = m._pyomo_contrib_fme_transformation.projected_constraints
         self.assertEqual(len(constraints), 11)

pyomo/core/kernel/base.py

@@ -156,7 +156,7 @@ def getname(
 
         Args:
             fully_qualified (bool): Generate a full name by
-                iterating through all anscestor containers.
+                iterating through all ancestor containers.
                 Default is :const:`False`.
             convert (function): A function that converts a
                 storage key into a string

pyomo/core/tests/unit/kernel/test_piecewise.py

@@ -209,19 +209,17 @@ def test_generate_delaunay(self):
         vlist.append(variable(lb=0, ub=1))
         vlist.append(variable(lb=1, ub=2))
         vlist.append(variable(lb=2, ub=3))
-        if not (util.numpy_available and util.scipy_available):
-            with self.assertRaises(ImportError):
-                util.generate_delaunay(vlist)
-        else:
-            tri = util.generate_delaunay(vlist, num=2)
-            self.assertTrue(isinstance(tri, util.scipy.spatial.Delaunay))
-            self.assertEqual(len(tri.simplices), 6)
-            self.assertEqual(len(tri.points), 8)
-
-            tri = util.generate_delaunay(vlist, num=3)
-            self.assertTrue(isinstance(tri, util.scipy.spatial.Delaunay))
-            self.assertEqual(len(tri.simplices), 62)
-            self.assertEqual(len(tri.points), 27)
+        tri = util.generate_delaunay(vlist, num=2)
+        self.assertTrue(isinstance(tri, util.scipy.spatial.Delaunay))
+        self.assertEqual(len(tri.simplices), 6)
+        self.assertEqual(len(tri.points), 8)
+
+        tri = util.generate_delaunay(vlist, num=3)
+        self.assertTrue(isinstance(tri, util.scipy.spatial.Delaunay))
+        # we got some simplices
+        self.assertTrue(len(tri.simplices) > 1)
+        # all the given points are accounted for
+        self.assertEqual(len(tri.points) + len(tri.coplanar), 27)
 
         #
         # Check cases where not all variables are bounded

pyomo/core/tests/unit/test_sets.py

@@ -2979,7 +2979,7 @@ def test_initialize_and_clone_from_dict_keys(self):
         #
         # While deepcopying a model is generally not supported, this is
         # an easy way to ensure that this simple model is cleanly
-        # clonable.
+        # able to be cloned.
         ref = """1 Set Declarations
     INDEX : Size=1, Index=None, Ordered=Insertion
         Key  : Dimen : Domain : Size : Members

pyomo/neos/tests/test_neos.py

@@ -79,9 +79,6 @@ def test_doc(self):
         doc = pyomo.neos.doc
         dockeys = set(doc.keys())
 
-        # Octeract interface is disabled, see #3321
-        amplsolvers.remove('octeract')
-
         self.assertEqual(amplsolvers, dockeys)
 
         # gamssolvers = set(v[0].lower() for v in tmp if v[1]=='GAMS')
@@ -152,8 +149,9 @@ def test_minto(self):
     def test_mosek(self):
         self._run('mosek')
 
-    # [16 Jul 24] Octeract is erroring.  We will disable the interface
+    # [16 Jul 24]: Octeract is erroring.  We will disable the interface
     # (and testing) until we have time to resolve #3321
+    # [20 Sep 24]: and appears to have been removed from NEOS
     #
     # def test_octeract(self):
     #     self._run('octeract')