Install this package:
emerge -a dev-python/numba
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask dev-python/numba
Or alternatively:
emerge --autounmask-write -a dev-python/numba
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 9999 | 8 | 0 | |
| 0.65.1 | 8 | ~amd64 | 0 |
| 0.65.0 | 8 | ~amd64 | 0 |
| 0.64.0 | 8 | ~amd64 | 0 |
| 0.63.1 | 8 | ~amd64 | 0 |
<pkgmetadata> <maintainer type="person"> <email>lebedev.vasya@gmail.com</email> </maintainer> <longdescription lang="en"> Numba is a NumPy-aware optimizing compiler for Python. It uses the 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. </longdescription> <upstream> <remote-id type="pypi">numba</remote-id> <remote-id type="github">numba/numba</remote-id> </upstream> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p dev-python/numba |
euse -E <flag> -p dev-python/numba |
euse -D <flag> -p dev-python/numba
| Flag | Description | 9999 | 0.65.1 | 0.65.0 | 0.64.0 | 0.63.1 |
|---|---|---|---|---|---|---|
| openmp | Use OpenMP for parallel code ⚠️ | ✓ | ✓ | ✓ | ✓ | ✓ |
| threads | ⚠️ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | numba-0.63.1.gh.tar.gz | 2841891 bytes | 0.63.1 |
| DIST | numba-0.64.0.gh.tar.gz | 2851321 bytes | 0.64.0 |
| DIST | numba-0.65.0.gh.tar.gz | 2849404 bytes | 0.65.0 |
| DIST | numba-0.65.1.gh.tar.gz | 2850906 bytes | 0.65.1 |
| Type | File | Size |
|---|