def setUp(self):
npts = 15
self.xk = Chebtech2._chebpts(npts)
self.vk = Chebtech2._barywts(npts)
self.fk = np.random.rand(npts)
self.ak = np.random.rand(11)
self.xx = -1 + 2*np.random.rand(9)
self.pts = -1 + 2*np.random.rand(1001)
def setUp(self):
npts = 15
self.xk = Chebtech2._chebpts(npts)
self.vk = Chebtech2._barywts(npts)
self.fk = np.random.rand(npts)
self.ak = np.random.rand(11)
self.xx = -1 + 2 * np.random.rand(9)
self.pts = -1 + 2 * np.random.rand(1001)
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)
