def test_pyomo_command(self):
results = os.path.join(currdir, 'result.yml')
args = [
os.path.join(currdir, 't1.py'),
'--solver-manager=neos',
'--solver=cbc',
'--symbolic-solver-labels',
'--save-results=%s' % results,
'-c',
]
try:
output = main.run(args)
self.assertEqual(output.errorcode, 0)
with open(results) as FILE:
data = yaml.load(FILE, **yaml_load_args)
self.assertEqual(data['Solver'][0]['Status'], 'ok')
self.assertAlmostEqual(data['Solution'][1]['Status'], 'optimal')
self.assertAlmostEqual(
data['Solution'][1]['Objective']['o']['Value'], 1)
self.assertAlmostEqual(
data['Solution'][1]['Variable']['x']['Value'], 0.5)
finally:
cleanup()
os.remove(results)
def pyomo(self, cmd, **kwds):
import pyomo.scripting.pyomo_command as main
sys.stdout.flush()
sys.stderr.flush()
print("Running: pyomo "+cmd)
args = re.split('[ ]+',cmd.strip())
return main.run(list(args))
def pyomo(self, cmd, **kwds):
import pyomo.scripting.pyomo_command as main
sys.stdout.flush()
sys.stderr.flush()
print("Running: pyomo " + cmd)
args = re.split('[ ]+', cmd.strip())
return main.run(list(args))
def test_pyomo_command(self):
results = os.path.join(currdir, 'result.yml')
args = [
os.path.join(currdir,'t1.py'),
'--solver-manager=neos',
'--solver=cbc',
'--symbolic-solver-labels',
'--save-results=%s' % results,
'-c',
]
try:
output = main.run(args)
self.assertEqual(output.errorcode, 0)
with open(results) as FILE:
data = yaml.load(FILE)
self.assertEqual(
data['Solver'][0]['Status'], 'ok')
self.assertAlmostEqual(
data['Solution'][1]['Status'], 'optimal')
self.assertAlmostEqual(
data['Solution'][1]['Objective']['o']['Value'], 1)
self.assertAlmostEqual(
data['Solution'][1]['Variable']['x']['Value'], 0.5)
finally:
cleanup()
os.remove(results)
def lp_with_cplex_solve_test(self, name):
root = name.split('_')[-1]
options = self.get_options(name)
if os.path.exists(join(datadir,root+'.dat')):
options.append(join(datadir,root+'.dat'))
res=main.run(['--solver=cplex','-c'] + options)
if res.errorcode:
raise ValueError("pyomo returned nonzero return code (%s)" % res.errorcode)
if not res.retval.local.max_memory is None:
self.recordTestData('maximum memory used', res.retval.local.max_memory)
def lp_with_cplex_solve_test(self, name):
root = name.split('_')[-1]
options = self.get_options(name)
if os.path.exists(datadir + root + '.dat'):
options.append(datadir + root + '.dat')
res = main.run(['--solver=cplex', '-c'] + options)
if res.errorcode:
raise ValueError("pyomo returned nonzero return code (%s)" %
res.errorcode)
if not res.retval.local.max_memory is None:
self.recordTestData('maximum memory used', res.retval.local.max_memory)
def pyomo(self, cmd, **kwargs):
args = re.split('[ ]+', cmd)
out = kwargs.get('file', None)
if out is None:
out = StringIO()
with capture_output(out):
os.chdir(currdir)
output = main.run(args)
if not 'file' in kwargs:
return output.getvalue()
return output
def pyomo(self, cmd, **kwargs):
args = re.split('[ ]+', cmd)
out = kwargs.get('file', None)
if out is None:
out = StringIO()
setup_redirect(out)
os.chdir(currdir)
output = main.run(args)
reset_redirect()
if not 'file' in kwargs:
return OUTPUT.getvalue()
return output
def pyomo ( self, cmd, **kwargs):
args = re.split('[ ]+', cmd )
out = kwargs.get( 'file', None )
if out is None:
out = StringIO()
setup_redirect( out )
os.chdir( currdir )
output = main.run( args )
reset_redirect()
if not 'file' in kwargs:
return OUTPUT.getvalue()
return output
def _run(self, opt, constrained=True):
expected_y = {
(pyo.minimize, True): -1,
(pyo.maximize, True): 1,
(pyo.minimize, False): -10,
(pyo.maximize, False): 10,
}[self.sense, constrained]
filename = 'model_min_lp.py' if self.sense == pyo.minimize \
else 'model_max_lp.py'
results = os.path.join(currdir, 'result.json')
args = [
os.path.join(currdir, filename),
'--solver-manager=neos',
'--solver=%s' % opt,
'--logging=quiet',
'--save-results=%s' % results,
'--results-format=json',
'-c'
]
try:
output = main.run(args)
self.assertEqual(output.errorcode, 0)
with open(results) as FILE:
data = json.load(FILE)
finally:
cleanup()
if os.path.exists(results):
os.remove(results)
self.assertEqual(
data['Solver'][0]['Status'], 'ok')
self.assertEqual(
data['Solution'][1]['Status'], 'optimal')
self.assertAlmostEqual(
data['Solution'][1]['Objective']['obj']['Value'],
expected_y, delta=1e-5)
if constrained:
# If the solver ignores constraints, x is degenerate
self.assertAlmostEqual(
data['Solution'][1]['Variable']['x']['Value'],
1, delta=1e-5)
self.assertAlmostEqual(
data['Solution'][1]['Variable']['y']['Value'],
expected_y, delta=1e-5)
def pyomo(self, *args, **kwds):
args=list(args)
args.append('--solver-manager=neos')
args.append('-c')
if 'solver' in kwds:
args.append('--solver='+kwds['solver'])
args.append('--symbolic-solver-labels')
args.append('--save-results=result.yml')
#args.append('--tempdir='+currdir)
#args.append('--keepfiles')
#args.append('--debug')
#args.append('--verbose')
os.chdir(currdir)
print('***')
print(' '.join(args))
try:
output = main.run(args)
except:
output = None
cleanup()
print('***')
return output
def pyomo(self, *args, **kwds):
args=list(args)
args.append('--solver-manager=neos')
args.append('-c')
if 'solver' in kwds:
args.append('--solver='+kwds['solver'])
args.append('--symbolic-solver-labels')
args.append('--save-results=result.yml')
#args.append('--tempdir='+currdir)
#args.append('--keepfiles')
#args.append('--debug')
#args.append('--verbose')
os.chdir(currdir)
print('***')
print(' '.join(args))
try:
output = main.run(args)
except:
output = None
cleanup()
print('***')
return output