linear_solver: using GLOP instead of XPRESS_LP for python starting basis test

Author: Mizux

ortools/linear_solver/python/set_starting_basis_test.py

@@ -45,14 +45,12 @@ def build_large_lp(self, solver):
             for j in range(0, i):
                 c.SetCoefficient(solver.variable(j), random.random() * 200 - 100)
 
-    def test_xpress(self):
+    def test_glop(self):
         # Build an LP and solve it, then fetch LP basis
-        solver = pywraplp.Solver.CreateSolver("XPRESS_LP")
-        if not solver:
-            return
+        solver = pywraplp.Solver.CreateSolver("GLOP")
         self.build_large_lp(solver)
         solver.Solve()
-        self.assertGreaterEqual(solver.iterations(), 1)
+        self.assertGreaterEqual(solver.iterations(), 10)
 
         var_basis = []
         con_basis = []
@@ -62,7 +60,7 @@ def test_xpress(self):
             con_basis.append(con.basis_status())
 
         # Re-build the same optimization problem in another MPSolver
-        solver_with_basis = pywraplp.Solver.CreateSolver("XPRESS_LP")
+        solver_with_basis = pywraplp.Solver.CreateSolver("GLOP")
         self.build_large_lp(solver_with_basis)
         # Set same basis as previous Solver
         solver_with_basis.SetStartingLpBasis(var_basis, con_basis)
@@ -73,7 +71,7 @@ def test_xpress(self):
             solver_with_basis.Objective().Value(),
             delta=1,
         )
-        self.assertEqual(solver_with_basis.iterations(), 0)
+        self.assertLessEqual(solver_with_basis.iterations(), 6)
 
 
 # Main Part