Mailman 3 May 2014 - Python.NET

Multithreading/multiprocessing
by Alan Macdonald May 5, 2025

May 5, 2025

Hello, has anyone successfully used multithreading or multiprocessing with Python.Net? I tried to multi-thread from the .Net side and the Python.Net libraries seem to have issues in the RunScript method. I had to take an implementation off the web of that method because the shipped method doesn’t seem to work. I then had a working multi-processing example from CPython that I tried from Python.Net but it gives an error 'module' object has no attribute 'argv' When trying to create a process pool by executing the line pool = Pool(processes=4) Is it possible to do multithreading or multiprocessing with Python.Net? Thanks, Alan

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Efficient copy of .NET Array to ctypes or numpy array.
by Dave Cook May 23, 2014

May 23, 2014

(Sorry for screwing up the thread; I messed up my list subscription. This is a response to https://mail.python.org/pipermail/pythondotnet/2014-May/001525.html ) Thanks, Jeffrey, that's awesome. Since the pointer can be directly accessed, np.frombuffer() can be used to avoid a copy. src_hndl = GCHandle.Alloc(src, GCHandleType.Pinned) try: src_ptr = src_hndl.AddrOfPinnedObject().ToInt32() bufType = ctypes.c_double*len(src) cbuf = bufType.from_address(src_ptr) dest = np.frombuffer(cbuf, dtype=cbuf._type_) finally: if src_hndl.IsAllocated: src_hndl.Free() Dave Cook

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Efficient copy of .NET Array to ctypes or numpy array.
by Dave Cook May 21, 2014

May 21, 2014

I need to copy a .NET Array (e.g. Double[] or Byte[]) to a numpy array, but it seems the only way to do so is element by element, which is very slow. Since we are copying a lot of data in real time, it creates a real bottleneck. Alternatively, efficient conversion of the .NET array to a Python style byte string would allow numpy.fromstring() to be used for creating the numpy array. (I see a similar question went unanswered on the list in August 2011, but I was hoping someone may have figured it out by now.) Thanks, Dave Cook

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