Ethan Welty <ethan.we...@gmail.com> added the comment:
Terry Reedy: I just tried your suggestion of a main clause (code below) and it
made no difference.
```
import _tkinter
import numpy as np
# multiprocessing.set_start_method("spawn")
import multiprocessing
def parallel_matmul(x):
R = np.random.randn(3, 3)
return np.matmul(R, x)
if __name__ == '__main__':
pool = multiprocessing.Pool(4)
results = pool.map(parallel_matmul, [np.random.randn(3, 5000) for i in
range(2)])
```
Ronald Oussoren: Good to know that perhaps upgrading to the latest OSX would
resolve this issue. I tried 'spawn' and 'forkserver' with
multiprocessing.set_start_method() (see above) but both result in an endless
stream of errors (with or without importing a graphics backend), although that
may be my not knowing how to properly use them.
----------
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Python tracker <rep...@bugs.python.org>
<https://bugs.python.org/issue33111>
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