def test_gaussian_quadrature_matrix_algebra_weights(test_data):
for N in test_data:
if N >= 50:
continue # Only works up to N = 40
G = GaussianQuadrature(N, method="matrix algebra")
for wt, w in zip(G.w, test_data[N]["w"]):
assert almost_equals(wt, w, eps=1e-2)
def test_e26_and_sumCl():
expected = [0, 0, 1.025704585, 0.3820158745, 0]
l = [1,2,3,4,5]
ad = 0.2
nd = 4
angles = [
[0, 1.9106, 1.9106, 1.9106],
[1.9106, 0, 1.9106, 1.9106],
[1.9106, 1.9106, 0, 1.9106],
[1.9106, 1.9106, 1.9106, 0]
]
wl0 = [e26(i, alpha(nd, ad)) for i in l]
for i in range(len(l)):
assert(almost_equals(sum_Cl(wl0[i], angles, nd, ad, l[i]), expected[i]))
def test_angles_fred():
vectors = [
[0, 0, 1],
[-0.4714045208, -0.8164965809, -0.3333333333],
[-0.4714045208, 0.8164965809, -0.3333333333],
[0.9428090416, 0, -0.3333333333]
]
angles = [
[0, 1.9106, 1.9106, 1.9106],
[1.9106, 0, 1.9106, 1.9106],
[1.9106, 1.9106, 0, 1.9106],
[1.9106, 1.9106, 1.9106, 0]
]
for i in range(len(vectors)):
for j in range(len(vectors)):
assert(almost_equals(angle_between(vectors[i], vectors[j]), angles[i][j], 0.0001))
def test_gen_angles():
vectors = [
[0, 0, 1],
[-0.4714045208, -0.8164965809, -0.3333333333],
[-0.4714045208, 0.8164965809, -0.3333333333],
[0.9428090416, 0, -0.3333333333]
]
expected = [
[0, 1.9106, 1.9106, 1.9106],
[1.9106, 0, 1.9106, 1.9106],
[1.9106, 1.9106, 0, 1.9106],
[1.9106, 1.9106, 1.9106, 0]
]
angles = generate_angles(vectors)
for i in range(len(angles)):
for j in range(len(angles)):
assert(almost_equals(angles[i][j], expected[i][j]))
def test_angle_between_different_vectors():
v1 = [1,1,1]
v2 = [1,1,2]
assert(almost_equals(angle_between(v1, v2), 0.33984))
def test_angle_between_same_vector():
v1 = [1,1,1]
v2 = [1,1,1]
assert(almost_equals(angle_between(v1, v2), 0))
def is_finger_match(pair, finger_midi, files):
""" does a collection pair match the level parameters? """
params = files.get_audio_params(pair[0])
return utils.almost_equals(params.finger_midi, finger_midi)
def is_level_match(pair, level_bbd, level_bv):
""" does a collection pair match the level parameters? """
params = files.get_audio_params(pair[0])
return (utils.almost_equals(params.bow_bridge_distance, level_bbd) and
utils.almost_equals(params.bow_velocity, level_bv))
def test_gaussian_quadrature_closed_form_weights(test_data):
for N in test_data:
G = GaussianQuadrature(N)
for wt, w in zip(G.w, test_data[N]["w"]):
assert almost_equals(wt, w)
def test_gaussian_quadrature_samples(test_data):
for N in test_data:
G = GaussianQuadrature(N)
for xt, x in zip(G.x, test_data[N]["x"]):
assert almost_equals(xt, x)
def is_finger_match(pair, finger_midi, files):
""" does a collection pair match the level parameters? """
params = files.get_audio_params(pair[0])
return utils.almost_equals(params.finger_midi, finger_midi)
def is_level_match(pair, level_bbd, level_bv):
""" does a collection pair match the level parameters? """
params = files.get_audio_params(pair[0])
return (utils.almost_equals(params.bow_bridge_distance, level_bbd)
and utils.almost_equals(params.bow_velocity, level_bv))
