flib.normal (and normal_like) returns nan instead of -inf

[borisaqua]

flib.normal (and normal_like) returns nan instead of -inf for very low values, resulting in sampler craching. For example: normal_like(-1e99,1e99,1e999)

Could be fixed by modifying normal_like:
res = flib.normal(x, mu, tau)
if np.isnan(res): res = -np.Inf
return res

[jsalvatier]

the numexpr_dist branch (python likelihoods) appears to handle this correctly.

[apatil]

Fixed in cfcbd59, thanks