def test_bootstrap_replicate_03(self):
np.random.seed(42)
matrix = np.random.uniform(-1, 1, 27).reshape(3, 3, 3)
weights = np.ones((3, 1)) / 3
ss = ActiveSubspaces()
wei = ss._bootstrap_replicate(matrix, weights)[1]
np.testing.assert_array_almost_equal(weights, wei)
def test_bootstrap_replicate_02(self):
np.random.seed(42)
matrix = np.random.uniform(-1, 1, 9).reshape(3, 3)
weights = np.ones((3, 1)) / 3
ss = ActiveSubspaces()
mat = ss._bootstrap_replicate(matrix, weights)[0]
true_matrix = np.array([[-0.88383278, 0.73235229, 0.20223002],
[0.19731697, -0.68796272, -0.68801096],
[-0.25091976, 0.90142861, 0.46398788]])
np.testing.assert_array_almost_equal(true_matrix, mat)
def test_bootstrap_replicate_04(self):
np.random.seed(42)
matrix = np.random.uniform(-1, 1, 27).reshape(3, 3, 3)
weights = np.ones((3, 1)) / 3
ss = ActiveSubspaces()
mat = ss._bootstrap_replicate(matrix, weights)[0]
true_matrix = np.array([[[-0.13610996, -0.41754172, 0.22370579],
[-0.72101228, -0.4157107, -0.26727631],
[-0.08786003, 0.57035192, -0.60065244]],
[[-0.25091976, 0.90142861, 0.46398788],
[0.19731697, -0.68796272, -0.68801096],
[-0.88383278, 0.73235229, 0.20223002]],
[[-0.13610996, -0.41754172, 0.22370579],
[-0.72101228, -0.4157107, -0.26727631],
[-0.08786003, 0.57035192, -0.60065244]]])
np.testing.assert_array_almost_equal(true_matrix, mat)
