def test_sample_z(self):
np.random.seed(42)
df0 = np.random.normal(size=(10,3))
sub = ss.Subspaces()
sub.compute(df=df0)
W1, W2 = sub.W1, sub.W2
m, n = W1.shape
np.random.seed(43)
x = np.random.uniform(-1.0,1.0,size=(1,m))
y = np.dot(x, W1).reshape((n, ))
N = 10
np.random.seed(42)
Z = dom.sample_z(N, y, W1, W2)
def test_sample_z(self):
np.random.seed(42)
df0 = np.random.normal(size=(10, 3))
sub = ss.Subspaces()
sub.compute(df=df0)
W1, W2 = sub.W1, sub.W2
m, n = W1.shape
np.random.seed(43)
x = np.random.uniform(-1.0, 1.0, size=(1, m))
y = np.dot(x, W1).reshape((n, ))
N = 10
np.random.seed(42)
Z = dom.sample_z(N, y, W1, W2)
def test_sample_z(self):
data = helper.load_test_npz('test_spec_decomp_1.npz')
df0, e0, W0 = data['df'], data['e'], data['W']
sub = ss.Subspaces()
sub.compute(df0)
W1, W2 = sub.W1, sub.W2
m, n = W1.shape
np.random.seed(43)
x = np.random.uniform(-1.0,1.0,size=(1,m))
y = np.dot(x, W1).reshape((n, ))
N = 10
np.random.seed(42)
Z = dom.sample_z(N, y, W1, W2)
data_test = helper.load_test_npz('test_sampling_z_0_0.npz')
np.testing.assert_almost_equal(Z, data_test['Z'])
def test_sample_z(self):
data = helper.load_test_npz('test_spec_decomp_1.npz')
df0, e0, W0 = data['df'], data['e'], data['W']
sub = ss.Subspaces()
sub.compute(df0)
W1, W2 = sub.W1, sub.W2
m, n = W1.shape
np.random.seed(43)
x = np.random.uniform(-1.0,1.0,size=(1,m))
y = np.dot(x, W1).reshape((n, ))
N = 10
np.random.seed(42)
Z = dom.sample_z(N, y, W1, W2)
#np.savez('data/test_sampling_z_0_3',Z=Z)
# probably don't need to save this file. should wrap rejection_sampling_z
data_test = helper.load_test_npz('test_sampling_z_0_0.npz')
np.testing.assert_equal(Z, data_test['Z'])