Exemplo n.º 1
0
def test_shapes_x_less():
    rndm = np.random.RandomState(1234)
    x = np.sort(rndm.uniform(size=8))
    y = np.random.uniform(size=9)
    y[-1] = y[0]

    with pytest.raises(ValueError):
        get_first_derivatives(x, y)
Exemplo n.º 2
0
def test_matrix():
    rndm = np.random.RandomState(1234)
    x = np.sort(rndm.uniform(size=8))
    y = np.random.uniform(size=8)
    y[-1] = y[0]

    der = get_first_derivatives(x, y)
    assert_allclose(der.shape[0], x.shape[0], atol=1e-12)
Exemplo n.º 3
0
     assert len(x) == len(y) == 3
     y[-1] = y[0]  # shortcut

     x, y = map(np.asarray, (x, y))
     h = x[1:] - x[:-1]
     m = (y[1:] - y[:-1]) / h
     s = (m / h).sum() / (1. / h).sum()
     print('OLD S : ', s)
     return ipt.CubicHermiteSpline(x, y, [s, s, s])

'''
n = 3
x = np.sort(np.random.random_sample(n) * 10)
y = np.random.random_sample(n) * 30
y[-1] = y[0]
t = get_first_derivatives(x, y)
print("Our :", t[0])
try:
    spline = CyclicInterpCurve(x, y, t)
except ZeroDivisionError as e:
    print(e)
vhs = np.vectorize(spline)
vhs1 = np.vectorize(per_spl(x, y))
#vhs2 = np.vectorize(per_spl_old(x, y))
#plt.figure(figsize=(10,10))
plt.scatter(x, y, marker='.', c='red')
tmp = np.arange(x[0], x[n - 1], 0.01)
plt.plot(tmp, vhs(tmp), label='our')
plt.plot(tmp, vhs1(tmp), label='new')
#plt.plot(tmp,vhs2(tmp), label='old')
plt.legend(bbox_to_anchor=(0., 1.02, 1., .102),
Exemplo n.º 4
0
def test_none_x():
    x = None
    y = np.arange(8)
    with pytest.raises(ValueError):
        get_first_derivatives(x, y)
Exemplo n.º 5
0
def test_x_asc():
    x = np.array([1, 2, 3, 2.5, 1.5])
    y = np.arange(5)
    with pytest.raises(ValueError):
        get_first_derivatives(x, y)
Exemplo n.º 6
0
def test_non_periodic():
    x = np.arange(8)
    y = np.arange(8)

    with pytest.raises(ValueError):
        get_first_derivatives(x, y)
Exemplo n.º 7
0
def test_num_points():
    x = np.arange(2)
    y = np.arange(2)

    with pytest.raises(ValueError):
        get_first_derivatives(x, y)
Exemplo n.º 8
0
def test_non_sort():
    rndm = np.random.RandomState(1234)
    x = np.sort(rndm.uniform(size=8))
    y = np.random.uniform(size=8)
    with pytest.raises(ValueError):
        get_first_derivatives(x, y)
Exemplo n.º 9
0
def test_none():
    x = None
    y = None
    with pytest.raises(ValueError):
        get_first_derivatives(x, y)