format on save

This commit is contained in:
Martin Bubel 2023-10-04 20:30:15 +02:00
parent c82ef3b3a1
commit 1dc7e90cd9

View file

@ -8,13 +8,15 @@ from ..util.config import config
try:
from ..util import choleskies_cython
choleskies_cython_working = config.getboolean('cython', 'working')
choleskies_cython_working = config.getboolean("cython", "working")
except ImportError:
choleskies_cython_working = False
try:
from ..kern.src import stationary_cython
stationary_cython_working = config.getboolean('cython', 'working')
stationary_cython_working = config.getboolean("cython", "working")
except ImportError:
stationary_cython_working = False
@ -22,29 +24,39 @@ except ImportError:
These tests make sure that the pure python and cython codes work the same
"""
@unittest.skipIf(not choleskies_cython_working,"Cython cholesky module has not been built on this machine")
@unittest.skipIf(
not choleskies_cython_working,
"Cython cholesky module has not been built on this machine",
)
class CythonTestChols(np.testing.TestCase):
def setUp(self):
self.flat = np.random.randn(45,5)
self.flat = np.random.randn(45, 5)
self.triang = np.array([np.eye(20) for i in range(3)])
def test_flat_to_triang(self):
L1 = choleskies._flat_to_triang_pure(self.flat)
L2 = choleskies._flat_to_triang_cython(self.flat)
np.testing.assert_allclose(L1, L2)
def test_triang_to_flat(self):
A1 = choleskies._triang_to_flat_pure(self.triang)
A2 = choleskies._triang_to_flat_cython(self.triang)
np.testing.assert_allclose(A1, A2)
@unittest.skipIf(not stationary_cython_working,"Cython stationary module has not been built on this machine")
@unittest.skipIf(
not stationary_cython_working,
"Cython stationary module has not been built on this machine",
)
class test_stationary(np.testing.TestCase):
def setUp(self):
self.k = GPy.kern.RBF(10)
self.X = np.random.randn(300,10)
self.Z = np.random.randn(20,10)
self.dKxx = np.random.randn(300,300)
self.dKzz = np.random.randn(20,20)
self.dKxz = np.random.randn(300,20)
self.X = np.random.randn(300, 10)
self.Z = np.random.randn(20, 10)
self.dKxx = np.random.randn(300, 300)
self.dKzz = np.random.randn(20, 20)
self.dKxz = np.random.randn(300, 20)
def test_square_gradX(self):
g1 = self.k._gradients_X_cython(self.dKxx, self.X)
@ -66,13 +78,18 @@ class test_stationary(np.testing.TestCase):
g2 = self.k._lengthscale_grads_cython(self.dKxz, self.X, self.Z)
np.testing.assert_allclose(g1, g2)
@unittest.skipIf(not choleskies_cython_working,"Cython cholesky module has not been built on this machine")
@unittest.skipIf(
not choleskies_cython_working,
"Cython cholesky module has not been built on this machine",
)
class test_choleskies_backprop(np.testing.TestCase):
def setUp(self):
a =np.random.randn(10,12)
a = np.random.randn(10, 12)
A = a.dot(a.T)
self.L = GPy.util.linalg.jitchol(A)
self.dL = np.random.randn(10,10)
self.dL = np.random.randn(10, 10)
def test(self):
r1 = choleskies._backprop_gradient_pure(self.dL, self.L)
r2 = choleskies_cython.backprop_gradient(self.dL, self.L)