Merge pull request #274 from michaelbynum/tests

Updating Tests
grid-parity-exchange · Mar 29, 2022 · ebcde42 · ebcde42
2 parents 8c3a525 + 5422162
commit ebcde42
Showing 1 changed file with 5 additions and 5 deletions.
diff --git a/egret/models/tests/test_relaxations.py b/egret/models/tests/test_relaxations.py
@@ -82,7 +82,7 @@ def test_soc_model(self, case_name):
         rel, scaled_md = create_soc_relaxation(md, use_linear_relaxation=False)
 
         opt = SolverFactory('ipopt')
-        opt.options['linear_solver'] = 'mumps'
+        #opt.options['linear_solver'] = 'mumps'
 
         res = opt.solve(nlp, tee=False)
         self.assertTrue(res.solver.termination_condition == TerminationCondition.optimal)
@@ -112,7 +112,7 @@ def test_polar_relaxation(self, case_name):
             b.rebuild(build_nonlinear_constraint=True)
 
         opt = SolverFactory('ipopt')
-        opt.options['linear_solver'] = 'mumps'
+        #opt.options['linear_solver'] = 'mumps'
 
         res = opt.solve(nlp, tee=False)
         self.assertTrue(res.solver.termination_condition == TerminationCondition.optimal)
@@ -130,7 +130,7 @@ def test_atan_relaxation(self, case_name):
             b.rebuild(build_nonlinear_constraint=True)
 
         opt = SolverFactory('ipopt')
-        opt.options['linear_solver'] = 'mumps'
+        #opt.options['linear_solver'] = 'mumps'
 
         res = opt.solve(nlp, tee=False)
         self.assertTrue(res.solver.termination_condition == TerminationCondition.optimal)
@@ -148,7 +148,7 @@ def test_atan_relaxation_with_soc_edge_cuts(self, case_name):
             b.rebuild(build_nonlinear_constraint=True)
 
         opt = SolverFactory('ipopt')
-        opt.options['linear_solver'] = 'mumps'
+        #opt.options['linear_solver'] = 'mumps'
 
         res = opt.solve(nlp, tee=False)
         self.assertTrue(res.solver.termination_condition == TerminationCondition.optimal)
@@ -166,7 +166,7 @@ def test_rectangular_relaxation(self, case_name):
             b.rebuild(build_nonlinear_constraint=True)
 
         opt = SolverFactory('ipopt')
-        opt.options['linear_solver'] = 'mumps'
+        #opt.options['linear_solver'] = 'mumps'
 
         res = opt.solve(nlp, tee=False)
         self.assertTrue(res.solver.termination_condition == TerminationCondition.optimal)