def test(self):
output_library = run()
gold_file = abspath(join('tests',
'tabulation',
'adiabatic_slfm',
'gold.pkl'))
gold_library = Library.load_from_file(gold_file)
for prop in gold_library.props:
self.assertIsNone(assert_allclose(gold_library[prop], output_library[prop], rtol=1.e-6, atol=1.e-6))
def test_parallel(self):
output_library = run(num_procs=2)
gold_file = abspath(join('tests',
'tabulation',
'nonadiabatic_defect_transient_slfm',
'gold.pkl'))
gold_library = Library.load_from_file(gold_file)
for prop in gold_library.props:
self.assertIsNone(assert_allclose(gold_library[prop], output_library[prop], rtol=2.e-4, atol=1.e-4))
def test(self):
output_library = run()
gold_file = abspath(
join('tests', 'tabulation',
'nonadiabatic_defect_burke_schumann', 'gold.pkl'))
gold_library = Library.load_from_file(gold_file)
for prop in gold_library.props:
self.assertIsNone(
assert_allclose(gold_library[prop],
output_library[prop],
atol=1.e-14))
def test(self):
output_library = run()
gold_file = abspath(join('tests',
'tabulation',
'turb_adiabatic_equilibrium',
'gold.pkl'))
gold_library = Library.load_from_file(gold_file)
for prop in gold_library.props:
self.assertIsNone(assert_allclose(gold_library[prop], output_library[prop], atol=1.e-14))
self.assertEqual(output_library.dims[0].name, 'mixture_fraction_mean')
self.assertEqual(output_library.dims[1].name, 'scaled_scalar_variance_mean')