def do_setup(self, flag):
global tmpdir
tmpdir = os.getcwd()
os.chdir(currdir)
TempfileManager.sequential_files(0)
if flag:
if not cplexamp_available:
self.skipTest("The 'cplexamp' command is not available")
self.asl = SolverFactory('asl:cplexamp')
else:
self.asl = SolverFactory('_mock_asl:cplexamp')
def do_setup(self):
global tmpdir
tmpdir = os.getcwd()
os.chdir(currdir)
TempfileManager.sequential_files(0)
self.scip = SolverFactory('scip', solver_io='nl')
m = self.model = ConcreteModel()
m.v = Var()
m.o = Objective(expr=m.v)
m.c = Constraint(expr=m.v >= 1)
def test_create4_dir(self):
"""Test create logic - no options"""
TempfileManager.sequential_files(2)
fname = TempfileManager.create_tempdir()
self.assertEqual(len(list(glob.glob(tempdir + '*'))), 1)
fname = os.path.basename(fname)
self.assertEqual(fname, 'tmp2')
#
TempfileManager.unique_files()
fname = TempfileManager.create_tempdir()
self.assertEqual(len(list(glob.glob(tempdir + '*'))), 2)
fname = os.path.basename(fname)
self.assertNotEqual(fname, 'tmp3')
self.assertTrue(fname.startswith('tmp'))
def do_setup(self):
global tmpdir
tmpdir = os.getcwd()
os.chdir(currdir)
TempfileManager.sequential_files(0)
self.asl = pyomo.opt.SolverFactory('asl:ipopt', keepfiles=True)
self.ipopt = pyomo.opt.SolverFactory('ipopt', keepfiles=True)
# The sisser CUTEr instance
# Formulated in Pyomo by Carl D. Laird, Daniel P. Word, Brandon C. Barrera and Saumyajyoti Chaudhuri
# Taken from:
# Source:
# F.S. Sisser,
# "Elimination of bounds in optimization problems by transforming
# variables",
# Mathematical Programming 20:110-121, 1981.
# See also Buckley#216 (p. 91)
# SIF input: Ph. Toint, Dec 1989.
# classification OUR2-AN-2-0
sisser_instance = ConcreteModel()
sisser_instance.N = RangeSet(1, 2)
sisser_instance.xinit = Param(sisser_instance.N,
initialize={
1: 1.0,
2: 0.1
})
def fa(model, i):
return value(model.xinit[i])
sisser_instance.x = Var(sisser_instance.N, initialize=fa)
def f(model):
return 3 * model.x[1]**4 - 2 * (model.x[1] *
model.x[2])**2 + 3 * model.x[2]**4
sisser_instance.f = Objective(rule=f, sense=minimize)
self.sisser_instance = sisser_instance
