dev-python/numexpr
Fast numerical array expression evaluator for Python and NumPy
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numexpr-2.10.0python_targets_pypy3 python_targets_python3_10 python_targets_python3_11 python_targets_python3_12 debug
View Download Browse License: MITOverlay: gentoo -
numexpr-2.9.0~alpha amd64 arm arm64 ~hppa ~ia64 ~loong ppc ppc64 ~riscv ~s390 ~sparc x86 ~amd64-linux ~x86-linux ~arm64-macos ~x64-macospython_targets_pypy3 python_targets_python3_10 python_targets_python3_11 python_targets_python3_12 debug
View Download Browse License: MITOverlay: gentoo -
numexpr-2.8.7~alpha amd64 arm arm64 ~hppa ~ia64 ppc ppc64 ~riscv ~s390 ~sparc x86 ~amd64-linux ~x86-linux ~arm64-macos ~x64-macospython_targets_pypy3 python_targets_python3_10 python_targets_python3_11 python_targets_python3_12 debug
View Download Browse License: MITOverlay: tgbugs-overlay -
numexpr-2.6.9-r200~amd64 ~x86 ~amd64-linux ~x86-linuxmkl python_targets_python2_7
View Download Browse License: MITOverlay: stefantalpalaru
USE Flags
python_targets_pypy3
* This flag is undocumented *
python_targets_python3_10
* This flag is undocumented *
python_targets_python3_11
* This flag is undocumented *
python_targets_python3_12
* This flag is undocumented *
debug
Global: Enable extra debug codepaths, like asserts and extra output. If you want to get meaningful backtraces see http://www.gentoo.org/proj/en/qa/backtraces.xml
mkl
Global: Install the Intel Math Kernel Library
Local: Enable support for Intel Vector Math Library, part of sci-libs/mkl.
python_targets_python2_7
* This flag is undocumented *