def test_curve_3436_3(self):
knotvector = [0.0, 0.0, 0.0, 1.0, 1.0, 1.0]
basis = SvNurbsBasisFunctions(knotvector)
ts = np.array([1.61803397])
ns = basis.derivative(2, 2, 0)(ts)
expected = np.array([1])
self.assert_numpy_arrays_equal(ns, expected, precision=8)
def test_basis_function(self):
"Test basis functions values"
v1s = []
for t in self.ts:
v1 = basis_function_one(self.degree, self.knotvector, self.span, t)
v1s.append(v1)
v1s = np.array(v1s)
functions = SvNurbsBasisFunctions(self.knotvector)
v2s = functions.function(self.span, self.degree)(self.ts)
self.assert_numpy_arrays_equal(v1s, v2s, precision=8)
def test_basis_function_3436(self):
"Test basis functions values outside of bounds"
v1s = []
ts = np.array([1.61803397])
for t in ts:
v1 = basis_function_one(self.degree, self.knotvector, self.span, t)
v1s.append(v1)
v1s = np.array(v1s)
functions = SvNurbsBasisFunctions(self.knotvector)
v2s = functions.function(self.span, self.degree)(ts)
self.assert_numpy_arrays_equal(v1s, v2s, precision=8)
def test_basis_derivative(self):
"Test basis functions derivative"
expected = np.array([
0.0, 0.29085873, 0.53185596, 0.72299169, 0.86426593, 0.95567867,
0.99722992, 0.98891967, 0.93074792, 0.82271468, 0.66481994,
0.45706371, 0.19944598, -0.10803324, -0.46537396, -0.87257618,
-1.32963989, -1.8365651, -2.3933518, -3.0
])
functions = SvNurbsBasisFunctions(self.knotvector)
d2s = functions.derivative(self.span, self.degree, 1)(self.ts)
self.assert_numpy_arrays_equal(expected, d2s, precision=8)