MacOS : Cannot allocate write+execute memory for ffi.callback()
See original GitHub issuepython3 play_file.py file.wav
MemoryError: Cannot allocate write+execute memory for ffi.callback(). You might be running on a system that prevents this. For more information, see https://cffi.readthedocs.io/en/latest/using.html#callbacks
Issue Analytics
- State:
- Created 2 years ago
- Comments:12 (3 by maintainers)
Top Results From Across the Web
apple m1 cannot allocate write+execute memory for ffi ...
using m1 mac; pip install mitmproxy,; print mitmproxy. and appear error cannot allocate write+execute memory for ffi.callback().
Read more >Scrapy on M1 Mac: MemoryError - Stack Overflow
I've got this working on an M1 with python 3.9.6 but I'm getting the ffi.callback() error on an M1 with 3.10.4. Both are...
Read more >I am receiving a MemoryError: Cannot allocate write+execute ...
I am receiving a MemoryError: Cannot allocate write+execute memory for ffi.callback(). when trying to set up snowpark on a mac M1 in jupyter ......
Read more >Running Snowpark Python on Apple M1 chips workaround
The error message displayed is, “Cannot allocate write+execute memory for ffi.callback()”. As a workaround, set up a virtual environment ...
Read more >Unable to run audio libraries in… | Apple Developer Forums
... in <module> _lib = _ffi.dlopen(_libname) OSError: cannot load library ... _): MemoryError: Cannot allocate write+execute memory for ffi.callback().
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
FYI, the difference is what accelerated linear algebra library Numpy is built against, as documented here https://numpy.org/install/#numpy-packages--accelerated-linear-algebra-libraries. I suppose the conclusion of “strong performance differences” should be taken with a grain of salt and seen in context of what one is intending to do, and on what system architecture.
Hi, I had the same issue with my M1 mac mini, macos 13.0 & anaconda environment.
It works for me.