def test_basis(self, n=4):
"""
Tn(cos(t)) = cos(nt)
"""
Tn = Chebfun.basis(n)
ts = np.linspace(0, 2 * np.pi, 100)
npt.assert_allclose(Tn(np.cos(ts)), np.cos(n * ts))
def test_basis(self, n=4):
"""
Tn(cos(t)) = cos(nt)
"""
Tn = Chebfun.basis(n)
ts = np.linspace(0, 2*np.pi, 100)
npt.assert_allclose(Tn(np.cos(ts)), np.cos(n*ts))
def test_runge(self):
"""
Test some of the capabilities of operator overloading.
"""
r = Chebfun.from_function(runge)
x = Chebfun.basis(1)
rr = 1. / (1 + 25 * x**2)
tools.assert_close(r, rr, rtol=1e-13)
def test_runge(self):
"""
Test some of the capabilities of operator overloading.
"""
r = Chebfun.from_function(runge)
x = Chebfun.basis(1)
rr = 1./(1+25*x**2)
tools.assert_close(r, rr, rtol=1e-13)
def test_repr(self):
"""
Repr shows the interpolation values.
"""
self.skipTest('Representation changed to include domain information')
p = Chebfun.basis(1)
s = repr(p)
expected = '<Chebfun(array([ 1., -1.]))>'
self.assertEqual(s, expected)
def test_repr(self):
"""
Repr shows the interpolation values.
"""
self.skipTest('Representation changed to include domain information')
p = Chebfun.basis(1)
s = repr(p)
expected = '<Chebfun(array([ 1., -1.]))>'
self.assertEqual(s, expected)
def test_basis(self, ns=[0, 5]):
for n in ns:
c = Chebfun.basis(n)
npt.assert_array_almost_equal(c.coefficients(),
np.array([0] * n + [1.]))
def test_basis(self, ns=[0,5]):
for n in ns:
c = Chebfun.basis(n)
npt.assert_array_almost_equal(c.coefficients(), np.array([0]*n+[1.]))
