If you want to dispose the PyObject and reduce the reference count immediately 
you should call `Dispose` manually or use `using` statement.
Otherwise, GC will take care of it although it would be a little delay, you can 
adjust ` Finalizer.Instance.Threshold ` for reducing the delay, it refers how 
many PyObjects will be collect at once after GC mark them as garbage.

About `GC.AddMemoryPressure`, there’s no relate with it, PyObject only contains 
pointers of CPython, it doesn’t allocate any unmanaged memory, thus GC know the 
objects’ size.

From: Denis Akhiyarov<mailto:denis.akhiya...@gmail.com>
Sent: Sunday, September 8, 2019 23:43
To: A list for users and developers of Python for 
.NET<mailto:pythondotnet@python.org>
Subject: Re: [Python.NET] Memory management when embedding python.

There is a lot more going on this topic of GC in GitHub repo, but I'm not 
involved with the project anymore.

Anyway if anyone is interested in moderating this mailing list, please let me 
know.

Thanks,
Denis

On Sun, Sep 8, 2019, 10:35 AM Thomas Lundgaard Hansen 
<thomas.lundga...@3shape.com<mailto:thomas.lundga...@3shape.com>> wrote:
Hi.

I am embedding Python into a .NET (C#) application. For the purpose of this 
discussion my code is
like the example given here:
https://github.com/pythonnet/pythonnet#example
(except that I am working with arrays of a substantial size).

Each of the “dynamic” variables created in that example are of the .NET type 
PyObject, which is
a disposable type. The code in the example does not call Dispose() on these 
objects and it would
indeed be very inconvenient to do so.

Whats the best practice here and what considerations went into this design? Can 
we expect that
the only unmanged resources held by PyObject’s are unmanaged memory? (Unless, 
of course, the
PyObject represents a system resource like a file or network stream).

Has it been considered to use GC.AddMemoryPressure when PyObjects are backed by 
a large
amount of unmanaged memory?


Thanks,
Thomas Lundgaard Hansen

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