Sylwester Arabas

icon indicating a website link https://slayoo.github.io/ icon indicating an email [email protected]

icon company agh.edu.pl icon location Kraków, Poland icon location researching clouds in the cloud

Results 518 comments of Sylwester Arabas

Fix for compilation error as sprintf is now deprecated.

Thanks! Sorry for delayed reply. I've just noticed that `BUFFER_SIZE` is probably a common macro name, and it would be better to avoid any name cash with other libraries (see...

use CMAKE_INSTALL_FULL_<dir>

Thank you! Is there a way to test it on our CI builds? (so that we can show how it fails now, and passes after introducing this change?)

What's the problem during compilation?

Based on this: https://stackoverflow.com/questions/19914339/error-msb3073-how-do-i-fix-this it might be a problem with file-access permissions

Qubes 4.1.1 resume from suspend fails - system doesn't wake up

Same symptoms here (I'm a new user, first installation). What is your hardware (posting output from `qubes-hcl-report dom0` might help?). Also, what do the following two commands output on your...

emit a warning/error if enabling `boundscheck=True` together with `parallel=True` (raising exceptions from within threads has unspecified behaviour)

CC @abulenok

emit a warning/error if enabling `boundscheck=True` together with `parallel=True` (raising exceptions from within threads has unspecified behaviour)

> Is there somewhere in the docs you've seen that it's stated that raising exceptions from within threads has unspecified behaviour? I'm not clear about whether this should be a...

emit a warning/error if enabling `boundscheck=True` together with `parallel=True` (raising exceptions from within threads has unspecified behaviour)

Thanks! Here's a minimal example: ```python $ cat test.py import numba, numpy, os @numba.njit(parallel='PARFORS' in os.environ, boundscheck=True) def test(n): arr = numpy.empty(n) for i in numba.prange(n+1): arr[i] += 1 test(100)...

support np.dot() for integer types

As mentioned above, numba's version of np.dot() only supports float and complex arrays: ```python import numba, numpy @numba.njit() def test(a, b): return numpy.dot(a, b) if __name__ == '__main__': print(numba.__version__) a...

support np.dot() for integer types

ping :)

support np.dot() for integer types

> cast back and forth from/to float and use what is there IMHO, this will sooner or later lead to users reporting surprising behaviour. > please respond with any updates...