def test_clenshaw__empty(self):
self.assertEquals(clenshaw(np.array([]), np.array([])).size, 0)
self.assertEquals(clenshaw(np.array([]), np.array([1.])).size, 0)
self.assertEquals(clenshaw(np.array([1.]), np.array([])).size, 0)
self.assertEquals(clenshaw(self.pts, np.array([])).size, 0)
self.assertEquals(clenshaw(np.array([]), self.pts).size, 0)
self.assertNotEquals(clenshaw(np.array([.1]), np.array([.1])).size, 0)
def test_clenshaw__empty(self):
self.assertEquals(clenshaw(np.array([]), np.array([])).size, 0)
self.assertEquals(clenshaw(np.array([]), np.array([1.])).size, 0)
self.assertEquals(clenshaw(np.array([1.]), np.array([])).size, 0)
self.assertEquals(clenshaw(self.pts, np.array([])).size, 0)
self.assertEquals(clenshaw(np.array([]), self.pts).size, 0)
self.assertNotEquals(clenshaw(np.array([.1]), np.array([.1])).size, 0)
def evalTester(method, fun, evalpts, chebpts):
x = evalpts
xk = chebpts
fvals = fun(xk)
if method is bary:
vk = Chebtech2._barywts(fvals.size)
a = bary(x, fvals, xk, vk)
tol_multiplier = 1e0
elif method is clenshaw:
ak = Chebtech2._vals2coeffs(fvals)
a = clenshaw(x, ak)
tol_multiplier = 2e1
b = fun(evalpts)
n = evalpts.size
tol = tol_multiplier * scaled_tol(n)
return infNormLessThanTol(a, b, tol)
def evalTester(method, fun, evalpts, chebpts):
x = evalpts
xk = chebpts
fvals = fun(xk)
if method is bary:
vk = Chebtech2._barywts(fvals.size)
a = bary(x, fvals, xk, vk)
tol_multiplier = 1e0
elif method is clenshaw:
ak = Chebtech2._vals2coeffs(fvals)
a = clenshaw(x, ak)
tol_multiplier = 2e1
b = fun(evalpts)
n = evalpts.size
tol = tol_multiplier * scaled_tol(n)
return infNormLessThanTol(a, b, tol)
def __call__clenshaw(self, x):
return clenshaw(x, self.coeffs)
def test_clenshaw__scalar_input(self):
for x in self.xx:
self.assertTrue(np.isscalar(clenshaw(x, self.ak)))
self.assertFalse(np.isscalar(clenshaw(xx, self.ak)))
def test_clenshaw__scalar_input(self):
for x in self.xx:
self.assertTrue(np.isscalar(clenshaw(x,self.ak)))
self.assertFalse(np.isscalar(clenshaw(xx,self.ak)))
def __call__clenshaw(self, x):
return clenshaw(x, self.coeffs)
