def test_to_symbolic(self):
nodes = np.eye(3, order="F")
triangle = self._make_one(nodes, 1, copy=False)
b_polynomial = triangle.to_symbolic()
s, t = sympy.symbols("s, t")
expected = sympy.Matrix([[1 - s - t, s, t]]).T
self.assertTrue(
test__symbolic.sympy_matrix_equal(b_polynomial, expected))
def test_to_symbolic(self):
nodes = np.asfortranarray([[3, 3, 4, 6], [3, 3, 3, 0]])
curve = self._make_one(nodes, 3, copy=False)
b_polynomial = curve.to_symbolic()
s = sympy.Symbol("s")
expected = 3 * sympy.Matrix([[1 + s**2, 1 - s**3]]).T
self.assertTrue(
test__symbolic.sympy_matrix_equal(b_polynomial, expected))