I have a SymPy script with a.o.
f_mean = lambdify([mu, sigma], mean, modules='numpy')
where mean is a function of mu and sigma and mu and sigma are both arrays
mu = symbols('mu_0:%d' % n, real=True, bounded=True)
sigma = symbols('sigma_0:%d' % n, positive=True, real=True, bounded=True)
Hi Janwillem,
On Tue, Jan 7, 2014 at 3:04 AM, Janwillem van Dijk
jwe.van.d...@gmail.com wrote:
I have a SymPy script with a.o.
f_mean = lambdify([mu, sigma], mean, modules='numpy')
where mean is a function of mu and sigma and mu and sigma are both arrays
mu = symbols('mu_0:%d' % n,
I'm not sure if lambdify supports nested arguments like this. You may need to do
lambdify(mu + sigma, mean)
and then call it like
f_mean(*(x_n + ux_n))
If it is supposed to support that then it's a bug and we should fix
it. If it only doesn't work in Python 3 it may be related to the def
f((x,
