def run_gauss(qtype, a, b):
eps = 1e-5
d, e = mp.gauss_quadrature(len(a), qtype)
d -= mp.matrix(a)
e -= mp.matrix(b)
assert mp.mnorm(d) < eps
assert mp.mnorm(e) < eps
def run_gauss(qtype, a, b):
eps = 1e-5
d, e = mp.gauss_quadrature(len(a), qtype)
d -= mp.matrix(a)
e -= mp.matrix(b)
assert mp.mnorm(d) < eps
assert mp.mnorm(e) < eps
def run(qtype, FW, R, alpha=0, beta=0):
X, W = mp.gauss_quadrature(n, qtype, alpha=alpha, beta=beta)
a = 0
for i in xrange(len(X)):
a += W[i] * F(X[i])
b = mp.quad(lambda x: FW(x) * F(x), R)
c = mp.fabs(a - b)
if verbose:
print(qtype, c, a, b)
assert c < 1e-5
def run(qtype, FW, R, alpha = 0, beta = 0):
X, W = mp.gauss_quadrature(n, qtype, alpha = alpha, beta = beta)
a = 0
for i in xrange(len(X)):
a += W[i] * F(X[i])
b = mp.quad(lambda x: FW(x) * F(x), R)
c = mp.fabs(a - b)
if verbose:
print(qtype, c, a, b)
assert c < 1e-5
