def test_mult_with_coeffs():
now = np.array([1.0, 2.0, 3.0, 4.0, 6.0])
coeffs = np.array(
[[[ 0.33333333, 0.83333333, -0.16666667],
[-0.16666667, 0.83333333, 0.33333333],
[ 0.33333333, -1.16666667, 1.83333333]]])
correct = np.array([[21.0/6.0, 21.0/6.0, 20.0/6.0]])
result = ext_weno.mult_with_coeffs(1, 3, now, coeffs)
np.testing.assert_almost_equal(result, correct)
def compute_helper(now, padded, half_width, side_index, coeffs, smoothness, weights, eps):
cells = len(now)
weights = weights[:, side_index]
coeffs = coeffs[:, side_index]
beta = ext_weno.mult_with_smoothness(cells, half_width,
padded, smoothness)
s_weights = ext_weno.scaled_weights(cells, half_width,
eps, weights, beta)
small_polynomials = ext_weno.mult_with_coeffs(cells, half_width,
padded, coeffs)
reconstruction = ext_weno.mult_polynomials(cells, half_width,
s_weights, small_polynomials)
return np.array(reconstruction)