Overview Repositories Revisions Requests Users Attributes Meta

Compiling Python code using LLVM

Edit Package python-numba

Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.

It is aware of NumPy arrays as typed memory regions and so can speed-up code using NumPy arrays. Other, less well-typed code will be translated to Python C-API calls effectively removing the “interpreter” but not removing the dynamic indirection.

Numba is also not a tracing JIT. It compiles your code before it gets run either using run-time type information or type information you provide in the decorator.

Numba is a mechanism for producing machine code from Python syntax and typed data structures such as those that exist in NumPy.

Refresh
Refresh
Source Files
Filename Size Changed
_link 0000000147 147 Bytes
numba-0.43.0.tar.gz 0001642679 1.57 MB
python-numba.changes 0000042078 41.1 KB
python-numba.spec 0000004059 3.96 KB
skip-failing-tests.patch 0000000549 549 Bytes
Revision 12 (latest revision is 99)
Matej Cepl's avatar Matej Cepl (mcepl) accepted request 686899 from Matej Cepl's avatar Matej Cepl (mcepl) (revision 12) 
- Update to 0.43.0:
  - Initial support for statically typed dictionaries
  - Improvements to `hash()` to match Python 3 behavior
  - Support for the heapq module
  - Ability to pass C structs to Numba
  - More NumPy functions: asarray, trapz, roll, ptp, extract
- Add skip-failing-tests.patch to avoid problems with possibly
  incompatible version of NumPy 1.16.
Comments 0
openSUSE Build Service is sponsored by
Places