On Wed, Aug 8, 2012 at 2:02 PM, Matthew Rocklin <[email protected]> wrote:

> Would Piecewise work well here?
>
>
> # Return 0 if x==0 else return log(x)
> >>> monkey_log = Piecewise((0, Eq(x, 0)), (log(x), True))
> >>> fn = lambdify(x, monkey_log, 'mpmath')
> >>> fn(0)
> 0
> >>> fn(2.71828)
> 0.999999327347282
>
>
Maybe I'm being dense, but I'm not sure I understand correctly what to do
with this. How do I inject this into the namespace used for evaluating
lam_func in the below? I want to replace the log function which is part of
a bigger expression.

Skipper


>
>
> On Wed, Aug 8, 2012 at 11:37 AM, Skipper Seabold <[email protected]>wrote:
>
>>  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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