Dmitrey added the comment:
I don't know did you mean it to me (as I've noticed from address) or no.
I can hardly provide any help for fixing the bug, I'm not skilled enough
in Python core files. Here's results of the proposition mentioned:
import copy
import types
def _deepcopy_method(x, memo):
return type(x)(x.im_func, deepcopy(x.im_self, memo), x.im_class)
copy._deepcopy_dispatch[types.MethodType] = _deepcopy_method
from scikits.openopt import NLP
p = NLP(lambda x: x**2, 1)
p3 = _deepcopy_method(p, None)
Traceback (most recent call last):
File "test_deepcopy.py", line 10, in <module>
p3 = _deepcopy_method(p, None)
File "test_deepcopy.py", line 5, in _deepcopy_method
return type(x)(x.im_func, deepcopy(x.im_self, memo), x.im_class)
AttributeError: NLP instance has no attribute 'im_func'
as for copy.py from Python core, it seems like the file has no
"_deepcopy_method" function.
Users want to run r = p.solve(solverName) for several different solvers and
same p instance. So it needs each time using
for sn in [solverName1, solverName2, ..., solverNameN]:
p = NLP(dozens of params)
p.somefiled.paramN+1 =valN+1
p.somefiled.paramN+2 =valN+2
...
r{i} = p.solve(sn)
while in my previous MATLAB version of the toolbox it looks just like:
(assign prob only once)
p = ooAssign(params)
for sn in [solverName1, solverName2, ..., solverNameN]
r{i} = p.solve(sn)
end
Christian Heimes wrote:
> Christian Heimes added the comment:
>
> Since Guido accepted the proposal can you please provide a patch with at
> least one unit test?
>
> ----------
> resolution: -> accepted
>
> __________________________________
> Tracker <[EMAIL PROTECTED]>
> <http://bugs.python.org/issue1515>
> __________________________________
>
>
>
>
__________________________________
Tracker <[EMAIL PROTECTED]>
<http://bugs.python.org/issue1515>
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