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Infinite optimization loop with cv2/skimage

See original GitHub issue

Let’s consider sample program and nuitka call for compilation: https://gist.github.com/belonesox/271385f97871d0ad3649c3fded368e1c

This results to something similar https://github.com/Nuitka/Nuitka/issues/783 — infinite optimization loop with “Loop has incomplete variable types after”.

nuitkatest) [stas@stasbox64gb recursion]$ python -m nuitka --version
0.6.10rc9
Python: 3.8.5 (default, Aug 12 2020, 00:00:00) 
Executable: /nuitkatest/bin/python
OS: Linux
Arch: x86_64

Actually, nuitka from develop branch commit 10612c9745fa124efdf22c469bc08947cb982a33

Issue Analytics

State:
Created 3 years ago
Comments:21 (19 by maintainers)

Top GitHub Comments

1reaction

kayhayencommented, Nov 25, 2020

As an aside, pipenv is in my mind the best tool for the task, rather than virtualenv. These are movable, and updateable in a controlled way, and you can keep the state under version control with hashes. Check it out: https://pypi.org/project/pipenv/

Were I ever to create a tool for automatic bug reporting, I would make it create a pipenv environment definition for it.

0reactions

belonesoxcommented, Dec 13, 2020

Sorry, there is no looping but there is very long generation — usually it takes less than 20 minutes for the sample, now I takes couple of hours before I seen “light at the end of the tunnel” (still compiling…)

Nuitka-Progress:INFO: Optimizing module 'report._py3report', 0 more modules to go after that.
Nuitka:INFO: Completed Python level compilation and optimization.
Nuitka:INFO: Generating C source code for backend compiler.
Nuitka:INFO: Total memory usage before generating C code: 1.61 GB (1731018752 bytes):

Update: May be something wrong in my setup (running my other tests on different setups still not showed big increase of compiling time).

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