def test_calculate_avg_skewness(self):
"""
Test :meth:`bet.sensitivity.chooseQoIs.calculate_avg_skewness`.
"""
self.qoi_set = range(0, self.input_dim)
(self.skewness, self.skewnessgi) = cQoIs.calculate_avg_skewness(\
self.input_set_centers, self.qoi_set)
# Check that skewness and skewnessgi are the right size
self.assertEqual(isinstance(self.skewness, float), True)
self.assertEqual(self.skewnessgi.shape, (self.num_centers,
self.input_dim))
# Test the method returns an error when more qois are given than
# parameters
self.input_set_centers.set_jacobians(np.random.uniform(-1, 1, [10, 4, 3]))
with self.assertRaises(ValueError):
cQoIs.calculate_avg_measure(self.input_set_centers)
def test_calculate_avg_skewness(self):
"""
Test :meth:`bet.sensitivity.chooseQoIs.calculate_avg_skewness`.
"""
self.qoi_set = range(0, self.input_dim)
(self.skewness, self.skewnessgi) = cQoIs.calculate_avg_skewness(\
self.input_set_centers, self.qoi_set)
# Check that skewness and skewnessgi are the right size
self.assertEqual(isinstance(self.skewness, float), True)
self.assertEqual(self.skewnessgi.shape,
(self.num_centers, self.input_dim))
# Test the method returns an error when more qois are given than
# parameters
self.input_set_centers.set_jacobians(
np.random.uniform(-1, 1, [10, 4, 3]))
with self.assertRaises(ValueError):
cQoIs.calculate_avg_measure(self.input_set_centers)
def test_calculate_avg_condnum(self):
"""
Test :meth:`bet.sensitivity.chooseQoIs.calculate_avg_condnum`.
"""
self.qoi_set = range(0, self.input_dim)
print self.input_set_centers.get_jacobians()
print self.center_disc._input_sample_set.get_jacobians()
(self.condnum, self.singvals) = cQoIs.calculate_avg_condnum(\
self.input_set_centers, self.qoi_set)
# Check that condnum and singvals are the right size
self.assertEqual(isinstance(self.condnum, float), True)
self.assertEqual(self.singvals.shape, (self.num_centers,
self.input_dim))
# Test the method returns an error when more qois are given than
# parameters
self.input_set_centers.set_jacobians(np.random.uniform(-1, 1, [10, 4, 3]))
with self.assertRaises(ValueError):
cQoIs.calculate_avg_measure(self.input_set_centers)
def test_calculate_avg_condnum(self):
"""
Test :meth:`bet.sensitivity.chooseQoIs.calculate_avg_condnum`.
"""
self.qoi_set = range(0, self.input_dim)
print self.input_set_centers.get_jacobians()
print self.center_disc._input_sample_set.get_jacobians()
(self.condnum, self.singvals) = cQoIs.calculate_avg_condnum(\
self.input_set_centers, self.qoi_set)
# Check that condnum and singvals are the right size
self.assertEqual(isinstance(self.condnum, float), True)
self.assertEqual(self.singvals.shape,
(self.num_centers, self.input_dim))
# Test the method returns an error when more qois are given than
# parameters
self.input_set_centers.set_jacobians(
np.random.uniform(-1, 1, [10, 4, 3]))
with self.assertRaises(ValueError):
cQoIs.calculate_avg_measure(self.input_set_centers)