def test_stat_quantiles(self):
rng = RandomNumberGenerator()
rng.setState("0123456789ABCDEF")
v = DoubleVector()
for i in range(100000):
v.append(rng.getDouble())
self.assertAlmostEqual(quantile(v, 0.1), 0.1, 2)
self.assertAlmostEqual(quantile_sorted(v, 0.2), 0.2, 2)
self.assertAlmostEqual(quantile_sorted(v, 0.3), 0.3, 2)
self.assertAlmostEqual(quantile_sorted(v, 0.4), 0.4, 2)
self.assertAlmostEqual(quantile_sorted(v, 0.5), 0.5, 2)
def test_load_save(self):
rng = RandomNumberGenerator()
with self.assertRaises(IOError):
rng.loadState("does/not/exist")
with TestAreaContext("rng_state") as t:
rng.saveState("rng.txt")
t.sync()
val1 = rng.getInt()
val2 = rng.getInt()
rng.loadState("rng.txt")
self.assertEqual(rng.getInt(), val1)
self.assertEqual(rng.getInt(), val2)
def test_rng_state(self):
rng = RandomNumberGenerator()
with self.assertRaises(ValueError):
rng.setState("12")
rng.setState("0123456789ABCDEF")
val1 = rng.getInt()
val2 = rng.getInt()
self.assertFalse(val1 == val2)
rng.setState("0123456789ABCDEF")
self.assertEqual(rng.getInt(), val1)
self.assertEqual(rng.getInt(), val2)
def setUp(self):
self.rng = RandomNumberGenerator(RngAlgTypeEnum.MZRAN, RngInitModeEnum.INIT_DEFAULT)
self.module = AnalysisModule(name = "STD_ENKF" )
def test_rng_default(self):
rng = RandomNumberGenerator()
self.assertIsInstance(rng.getDouble(), float)
def setUp(self):
self.libname = res.res_lib_path + "/rml_enkf.so"
self.rng = RandomNumberGenerator(RngAlgTypeEnum.MZRAN,
RngInitModeEnum.INIT_DEFAULT)
def setUp(self):
self.rng = RandomNumberGenerator(RngAlgTypeEnum.MZRAN,
RngInitModeEnum.INIT_DEFAULT)
self.libname = res.res_lib_path + "/std_enkf_debug.so"
self.module = AnalysisModule(lib_name=self.libname)
