def setUp(self):
self.name = "Test Property"
self.desc = "This is a simple property."
self.random_number_function = np.random.uniform
self.min = 0.0
self.max = 1.0
self.seed = 666
self.n = 10
self.mock_generator = RandomGenerator(seed=self.seed,
n=self.n,
random_number_function=self.random_number_function)
def __init__(self, seed_generator=None, n=None, random_number_function=None, *args, **kwargs):
Property.__init__(self, *args, **kwargs)
self.seed = None
self.seed_generator = seed_generator
self.n = n
self.random_number_function = random_number_function
self.random_generator = None
if self.seed_generator is not None:
self.update_seed(seed_generator)
self.random_generator = RandomGenerator(self.seed, n, random_number_function)
self.mean = None
def test_random_generator(self):
# mock the random number function to test trivial behavior
gen = RandomGenerator(self.seed, self.N, mock_random)
self.assertEqual(gen.N, self.N)
self.assertEqual(gen.seed, self.seed)
self.assertEqual(gen.get_random_number(value=self.value), np.array([self.value]))
self.assertListEqual(list(gen.get_n_random_numbers(value=self.value)), list(np.ones(self.N)))
# test passing a list of arguments to the random number function
gen.random_number_function = np.random.uniform
self.assertAlmostEqual(gen.get_random_number(low=0.0, high=1.0), np.array(0.7004371218578347), places=5)
class TestProperty(unittest.TestCase):
def setUp(self):
self.name = "Test Property"
self.desc = "This is a simple property."
self.random_number_function = np.random.uniform
self.min = 0.0
self.max = 1.0
self.seed = 666
self.n = 10
self.mock_generator = RandomGenerator(
seed=self.seed,
n=self.n,
random_number_function=self.random_number_function)
def test_properties(self):
prop = Property(name="Test Property",
desc="This is a simple property.")
self.assertEquals(prop.name, self.name)
self.assertEquals(prop.desc, self.desc)
self.assertEqual(prop.generate_values(), None)
self.assertEqual(prop.update_seed(), None)
mock_seed_generator = MockSeedGenerator(self.seed)
random_prop = RandomProperty(seed_generator=mock_seed_generator,
n=10,
random_number_function=np.random.uniform,
name="Random Property",
desc="Test the random property")
random_prop.generate_values(low=self.min, high=self.max)
random_prop_values = list(random_prop.values)
# reset the mock generator
self.mock_generator.set_seed()
mock_random_values = list(
self.mock_generator.get_n_random_numbers(low=self.min,
high=self.max))
self.assertEquals(random_prop_values, mock_random_values)
random_prop.calculate_property_statistics()
self.assertAlmostEqual(random_prop.mean, np.mean(mock_random_values))
regional_property = RegionalProperty(MockRegion(name="MockRegion"))
self.assertEqual(regional_property.region.name, "MockRegion")
def tearDown(self):
pass
class TestProperty(unittest.TestCase):
def setUp(self):
self.name = "Test Property"
self.desc = "This is a simple property."
self.random_number_function = np.random.uniform
self.min = 0.0
self.max = 1.0
self.seed = 666
self.n = 10
self.mock_generator = RandomGenerator(seed=self.seed,
n=self.n,
random_number_function=self.random_number_function)
def test_properties(self):
prop = Property(name="Test Property", desc="This is a simple property.")
self.assertEquals(prop.name, self.name)
self.assertEquals(prop.desc, self.desc)
self.assertEqual(prop.generate_values(), None)
self.assertEqual(prop.update_seed(), None)
mock_seed_generator = MockSeedGenerator(self.seed)
random_prop = RandomProperty(seed_generator=mock_seed_generator,
n=10,
random_number_function=np.random.uniform,
name="Random Property",
desc="Test the random property")
random_prop.generate_values(low=self.min, high=self.max)
random_prop_values = list(random_prop.values)
# reset the mock generator
self.mock_generator.set_seed()
mock_random_values = list(self.mock_generator.get_n_random_numbers(low=self.min, high=self.max))
self.assertEquals(random_prop_values, mock_random_values)
random_prop.calculate_property_statistics()
self.assertAlmostEqual(random_prop.mean, np.mean(mock_random_values))
regional_property = RegionalProperty(MockRegion(name="MockRegion"))
self.assertEqual(regional_property.region.name, "MockRegion")
def tearDown(self):
pass
def setUp(self):
self.name = "Test Property"
self.desc = "This is a simple property."
self.random_number_function = np.random.uniform
self.min = 0.0
self.max = 1.0
self.seed = 666
self.n = 10
self.mock_generator = RandomGenerator(seed=self.seed,
n=self.n,
random_number_function=self.random_number_function)
def test_random_generator(self):
# mock the random number function to test trivial behavior
gen = RandomGenerator(self.seed, self.N, mock_random)
self.assertEqual(gen.N, self.N)
self.assertEqual(gen.seed, self.seed)
self.assertEqual(gen.get_random_number(value=self.value), np.array([self.value]))
self.assertListEqual(list(gen.get_n_random_numbers(value=self.value)), list(np.ones(self.N)))
# test passing a list of arguments to the random number function
gen.random_number_function = np.random.uniform
self.assertAlmostEqual(gen.get_random_number(low=0.0, high=1.0), np.array(0.7004371218578347), places=5)
class RandomProperty(Property):
def __init__(self, seed_generator=None, n=None, random_number_function=None, *args, **kwargs):
Property.__init__(self, *args, **kwargs)
self.seed = None
self.seed_generator = seed_generator
self.n = n
self.random_number_function = random_number_function
self.random_generator = None
if self.seed_generator is not None:
self.update_seed(seed_generator)
self.random_generator = RandomGenerator(self.seed, n, random_number_function)
self.mean = None
def update_seed(self, seed_generator):
self.seed = seed_generator.request_seed()
self.random_generator = RandomGenerator(self.seed, self.n, self.random_number_function)
def generate_values(self, *args, **kwargs):
self.values = self.random_generator.get_n_random_numbers(*args, **kwargs)
def calculate_property_statistics(self):
self.mean = np.mean(self.values)
def update_seed(self, seed_generator):
self.seed = seed_generator.request_seed()
self.random_generator = RandomGenerator(self.seed, self.n, self.random_number_function)