Daemon Power

The NetBSD Packages Collection: math/py-numpy

Brief description of the package:
Array processing for numbers, strings, records, and objects

Please read the file "DESCR" for a longer description, or browse the package's history.

This package has a home page at http://www.numpy.org/.

Please note that this package has a modified-bsd license.

The package is located in the "math/py-numpy" directory. The current source version of the package is "py37-numpy-1.19.2nb1". For a summary on how to use the package collection, go to the top of the packages tree.

Problem reports, updates or suggestions for this package should be reported with send-pr.

The following security vulnerabilities are known for math/py-numpy :

If you have a vulnerable package installed on any machine, you are advised to remove the package immediately, using the standard package tools. The pkg_admin audit command locates any installed package which has been mentioned in security advisories as being vulnerable.

This package requires the following package(s) to build: py37-setuptools-[0-9]* py37-expat-[0-9]* python37>=3.7 libffi>=1.20 cwrappers>=20150314 libuuid>=2.18 libffi>=3.3nb1 readline>=2.2 readline>=6.0 python37>=3.7.0 python37>=3.7.9 gcc7>=3.0 gsed>=3.0.2 py37-cython>=0.29.21 py37-cython>=0.12.1 lapack>=3.9.0 blas>=3.9.0 gcc7>=7.0 blas>=3.9.0nb1 lapack>=3.9.0nb1 .

This package requires the following package(s) to run: py37-setuptools-[0-9]* py37-expat-[0-9]* python37>=3.7 libffi>=1.20 libuuid>=2.18 libffi>=3.3nb1 python37>=3.7.0 python37>=3.7.9 gcc7>=3.0 gsed>=3.0.2 py37-cython>=0.29.21 py37-cython>=0.12.1 lapack>=3.9.0 blas>=3.9.0 gcc7>=7.0 blas>=3.9.0nb1 lapack>=3.9.0nb1 .

This package supports the following build-time options:

(none)

Select one of the links below to download the package in precompiled binary form for installation with pkg_add(1). Available machine architectures and package versions:
aarch64:py36-numpy-1.19.1.tgz(NetBSD 9.0)
aarch64:py37-numpy-1.19.1.tgz(NetBSD 9.0)
aarch64:py38-numpy-1.19.1.tgz(NetBSD 9.0)
aarch64:py36-numpy-1.18.5.tgz(NetBSD 9.0)
aarch64:py37-numpy-1.18.5.tgz(NetBSD 9.0)
aarch64:py38-numpy-1.18.5.tgz(NetBSD 9.0)
alpha:py36-numpy-1.18.5.tgz(NetBSD 9.0)
alpha:py37-numpy-1.18.5.tgz(NetBSD 9.0)
alpha:py38-numpy-1.18.5.tgz(NetBSD 9.0)
alpha:py36-numpy-1.19.1.tgz(NetBSD 9.0)
alpha:py37-numpy-1.19.1.tgz(NetBSD 9.0)
alpha:py38-numpy-1.19.1.tgz(NetBSD 9.0)
i386:py36-numpy-1.19.1.tgz(NetBSD 8.0)
i386:py37-numpy-1.19.1.tgz(NetBSD 8.0)
i386:py38-numpy-1.19.1.tgz(NetBSD 8.0)
i386:py36-numpy-1.18.5.tgz(NetBSD 8.0)
i386:py37-numpy-1.18.5.tgz(NetBSD 8.0)
i386:py38-numpy-1.18.5.tgz(NetBSD 8.0)
i386:py36-numpy-1.19.1.tgz(NetBSD 9.0)
i386:py37-numpy-1.19.1.tgz(NetBSD 9.0)
i386:py38-numpy-1.19.1.tgz(NetBSD 9.0)
i386:py36-numpy-1.18.5.tgz(NetBSD 9.0)
i386:py37-numpy-1.18.5.tgz(NetBSD 9.0)
i386:py38-numpy-1.18.5.tgz(NetBSD 9.0)
powerpc:py36-numpy-1.19.1.tgz(NetBSD 9.0)
powerpc:py37-numpy-1.19.1.tgz(NetBSD 9.0)
powerpc:py38-numpy-1.19.1.tgz(NetBSD 9.0)
powerpc:py36-numpy-1.18.5.tgz(NetBSD 9.0)
powerpc:py37-numpy-1.18.5.tgz(NetBSD 9.0)
powerpc:py38-numpy-1.18.5.tgz(NetBSD 9.0)
x86_64:py36-numpy-1.18.5.tgz(NetBSD 9.0)
x86_64:py37-numpy-1.18.5.tgz(NetBSD 9.0)
x86_64:py38-numpy-1.18.5.tgz(NetBSD 9.0)
x86_64:py36-numpy-1.19.1.tgz(NetBSD 9.0)
x86_64:py37-numpy-1.19.1.tgz(NetBSD 9.0)
x86_64:py38-numpy-1.19.1.tgz(NetBSD 9.0)
x86_64:py36-numpy-1.19.1.tgz(NetBSD 8.0)
x86_64:py37-numpy-1.19.1.tgz(NetBSD 8.0)
x86_64:py38-numpy-1.19.1.tgz(NetBSD 8.0)
x86_64:py36-numpy-1.18.5.tgz(NetBSD 8.0)
x86_64:py37-numpy-1.18.5.tgz(NetBSD 8.0)
x86_64:py38-numpy-1.18.5.tgz(NetBSD 8.0)
x86_64:py36-numpy-1.19.1.tgz(NetBSD 9.0)
x86_64:py37-numpy-1.19.1.tgz(NetBSD 9.0)
x86_64:py38-numpy-1.19.1.tgz(NetBSD 9.0)
x86_64:py36-numpy-1.18.5.tgz(NetBSD 9.0)
x86_64:py37-numpy-1.18.5.tgz(NetBSD 9.0)
x86_64:py38-numpy-1.18.5.tgz(NetBSD 9.0)
x86_64:py36-numpy-1.19.1.tgz(NetBSD 9.0)
x86_64:py37-numpy-1.19.1.tgz(NetBSD 9.0)
x86_64:py38-numpy-1.19.1.tgz(NetBSD 9.0)

The NetBSD packages collection is designed to permit easy installation from source - particularly useful if the latest binary package is not available for your chosen platform.


[ Go up one level | Go to top of packages tree | List all packages ]