Hi,
I'm trying to evaluate a Hessian that I'm computing symbolically. To do so,
I'd like to monkey-patch the mpmath.log function to define log(0) == 0. I
can replicate the error with the minimal example below. I get
/usr/local/lib/python2.7/dist-packages/sympy/core/function.pyc in
__new__(cls, *args, **options)
606 args = map(sympify, args)
607 result = super(AppliedUndef, cls).__new__(cls, *args,
**options)
--> 608 result.nargs = len(args)
609 return result
610
AttributeError: 'Float' object has no attribute 'nargs'
However, what I'm seeing with my actual script is that the first time I run
it, I get this error. The second time, it works, which is baffling. I am on
recent sympy master from git. Anyone have any ideas? Am I doing this wrong?
import sympy
from sympy.abc import y,x,z
from sympy.utilities.lambdify import implemented_function
from sympy import Function
from mpmath import mpf, log as mplog
func_ = y * sympy.log(x) * z
func = func_(y, x).subs({z : 2.0})
log = implemented_function(Function("log"), lambda x : mpf(0) if x == 0
else mplog(x))
lam_func = sympy.lambdify((y, x), func, [{'log' : log}, 'mpmath'])
data = (1., 2.)
lam_func(*data)
Thanks,
Skipper
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