Hi Eliana, it's best to build it yourself from github: https://github.com/pythonnet/pythonnet/tree/develop
Failing that, you can get a recent build from pypi: https://pypi.python.org/pypi/pythonnet/2.1.0.dev1 The version source forge is pretty old and there have been a lot of fixes made since then. Regards, Tony On Mon, Jan 18, 2016 at 7:11 PM Eliana Mendes <eliana.mend...@gmail.com> wrote: > Hello Tony, > > > > Thanks a lot for your answer! I actually just got directly the > “Python.Runtime.dll” from the download link in sourceforge: > http://sourceforge.net/projects/pythonnet/files/. But from the > description I see that the last update of that one was done in 2013. Would > there be a newer version somewhere else that I could get? Perhaps this > version I’m using is out of date and you have a newer one. Let me know if > that’s the case. > > > > I tried your suggestion of putting the “using” statement for the tuple > objects, and also for “myTuple”, and the memory is still increasing a lot. > I’ve made a memory profile to see which objects are being retained and > after I ran that statement 5 thousand times I got this: > > > [image: image.png] > > > As you can see more that 12 thousand instances of “PyInt” and more than 6 > thousand of “PyObject” are created . Apparently it is creating these > “PyInt” and “PyObjects” somewhere inside the “AsManagedObject”, because I > don’t have PyInt objects anywhere in my code and this just happens when I > call “AsManagedObject”. > > > > Let me know if there is a newer version that could probably have that > problem fixed which I am not aware of. > > > I appreciate a lot your help! > > > > Best regards, > > Eliana > > 2016-01-17 6:05 GMT-06:00 Tony Roberts <t...@pyxll.com>: > >> Hi Eliana, >> >> which version of pythonnet are you using? when you say you're using the >> latest are you building it yourself from the develop branch on github? >> >> I had a quick look at the code that converts from a python object to a >> double, and I don't see any obvious memory leaks there. Perhaps the leak is >> the objects resulting from indexing into the tuple are never getting >> disposed? Try something like this instead and see if it helps (and report >> back as it may help improve the code if we know exactly what the problem >> is). >> >> PyTuple myTuple = PyTuple.AsTuple(result); >> >> double result0; >> using (var item0 = myTuple[0]) >> result0 = (double)item0.AsManagedObject(typeof(double)); >> >> double result1; >> using (var item1 = myTuple[1]) >> result1 = (double)item1.AsManagedObject(typeof(double)); >> >> myTuple.Dispose(); >> >> I would also use a using statement for the myTuple as well, just to be >> sure dispose is called in the case an exception is thrown somewhere. >> >> Regards, >> Tony >> >> >> On Fri, Jan 15, 2016 at 8:06 PM Eliana Mendes <eliana.mend...@gmail.com> >> wrote: >> >>> Hello experts, >>> >>> >>> >>> I'm having a memory leak problem when using the >>> function AsManagedObject(typeof(double)). Basically I have something like >>> this: >>> >>> >>> >>> PyTuple myTuple = PyTuple.AsTuple(result); >>> >>> double result0 = (double)myTuple[0].AsManagedObject(typeof(double)); >>> >>> double result1 = (double)myTuple[1].AsManagedObject(typeof(double)); >>> >>> myTuple.Dispose(); >>> >>> >>> >>> where "result" is just a PyObject that returned from a python function. >>> I simplified the code above just so you can understand better, but the >>> thing is that the line that calls "AsManagedObject” is executed thousands >>> of times and it is increasing significantly the memory heap (it goes over 3 >>> GB of memory in my scenario and it’s not released after execution). If I >>> don't call just this specific function the memory remains stable. But I >>> don’t know any other way to convert the PyObject to "double" unless using >>> the “AsManagedObject” function. >>> >>> It sounds to me that some objects are allocated inside the >>> "AsManagedObject" method and they are not being released. Maybe it’s a bug >>> there. Any ideas? I'm using latest version of python for .NET. >>> >>> >>> >>> Thank you! >>> >>> >>> Eliana Mendes >>> >>> Software Engineer >>> >>> _________________________________________________ >>> Python.NET mailing list - PythonDotNet@python.org >>> https://mail.python.org/mailman/listinfo/pythondotnet >> >> >> _________________________________________________ >> Python.NET mailing list - PythonDotNet@python.org >> https://mail.python.org/mailman/listinfo/pythondotnet >> > > _________________________________________________ > Python.NET mailing list - PythonDotNet@python.org > https://mail.python.org/mailman/listinfo/pythondotnet
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