def test_error_kernels(self):
"""
Test of various error cases in the kernels module.
"""
self.assertRaises(
TypeError, kernels.RectangularKernel, sigma=2.0)
self.assertRaises(
ValueError, kernels.RectangularKernel, sigma=-0.03 * pq.s)
self.assertRaises(
ValueError, kernels.AlphaKernel, sigma=2.0 * pq.ms,
invert=2)
rec_kernel = kernels.RectangularKernel(sigma=0.3 * pq.ms)
self.assertRaises(
TypeError, rec_kernel, [1, 2, 3])
self.assertRaises(
TypeError, rec_kernel, [1, 2, 3] * pq.V)
kernel = kernels.Kernel(sigma=0.3 * pq.ms)
self.assertRaises(
NotImplementedError, kernel._evaluate, [1, 2, 3] * pq.V)
self.assertRaises(
NotImplementedError, kernel.boundary_enclosing_area_fraction,
fraction=0.9)
self.assertRaises(TypeError,
rec_kernel.boundary_enclosing_area_fraction, [1, 2])
self.assertRaises(ValueError,
rec_kernel.boundary_enclosing_area_fraction, -10)
self.assertEqual(kernel.is_symmetric(), False)
self.assertEqual(rec_kernel.is_symmetric(), True)
def test_wrong_input(self):
self.assertRaises(TypeError, stds.victor_purpura_distance,
[self.array1, self.array2], self.q3)
self.assertRaises(TypeError, stds.victor_purpura_distance,
[self.qarray1, self.qarray2], self.q3)
self.assertRaises(TypeError, stds.victor_purpura_distance,
[self.qarray1, self.qarray2], 5.0 * ms)
self.assertRaises(TypeError,
stds.victor_purpura_distance,
[self.array1, self.array2],
self.q3,
algorithm='intuitive')
self.assertRaises(TypeError,
stds.victor_purpura_distance,
[self.qarray1, self.qarray2],
self.q3,
algorithm='intuitive')
self.assertRaises(TypeError,
stds.victor_purpura_distance,
[self.qarray1, self.qarray2],
5.0 * ms,
algorithm='intuitive')
self.assertRaises(TypeError, stds.van_rossum_distance,
[self.array1, self.array2], self.tau3)
self.assertRaises(TypeError, stds.van_rossum_distance,
[self.qarray1, self.qarray2], self.tau3)
self.assertRaises(TypeError, stds.van_rossum_distance,
[self.qarray1, self.qarray2], 5.0 * Hz)
self.assertRaises(TypeError, stds.victor_purpura_distance,
[self.st11, self.st13], self.tau2)
self.assertRaises(TypeError, stds.victor_purpura_distance,
[self.st11, self.st13], 5.0)
self.assertRaises(TypeError,
stds.victor_purpura_distance, [self.st11, self.st13],
self.tau2,
algorithm='intuitive')
self.assertRaises(TypeError,
stds.victor_purpura_distance, [self.st11, self.st13],
5.0,
algorithm='intuitive')
self.assertRaises(TypeError, stds.van_rossum_distance,
[self.st11, self.st13], self.q4)
self.assertRaises(TypeError, stds.van_rossum_distance,
[self.st11, self.st13], 5.0)
self.assertRaises(NotImplementedError,
stds.victor_purpura_distance, [self.st01, self.st02],
self.q3,
kernel=kernels.Kernel(2.0 / self.q3))
self.assertRaises(NotImplementedError,
stds.victor_purpura_distance, [self.st01, self.st02],
self.q3,
kernel=kernels.SymmetricKernel(2.0 / self.q3))
self.assertEqual(
stds.victor_purpura_distance(
[self.st01, self.st02],
self.q1,
kernel=kernels.TriangularKernel(
2.0 / (np.sqrt(6.0) * self.q2)))[0, 1],
stds.victor_purpura_distance(
[self.st01, self.st02],
self.q3,
kernel=kernels.TriangularKernel(
2.0 / (np.sqrt(6.0) * self.q2)))[0, 1])
self.assertEqual(
stds.victor_purpura_distance(
[self.st01, self.st02],
kernel=kernels.TriangularKernel(
2.0 / (np.sqrt(6.0) * self.q2)))[0, 1], 1.0)
self.assertNotEqual(
stds.victor_purpura_distance(
[self.st01, self.st02],
kernel=kernels.AlphaKernel(2.0 / (np.sqrt(6.0) * self.q2)))[0,
1],
1.0)
self.assertRaises(NameError,
stds.victor_purpura_distance, [self.st11, self.st13],
self.q2,
algorithm='slow')
