Detailed Information About python3-numpy-gnu15-ohpc-2.4.3-410.ohpc.1.3.x86_64.rpm

Title
NumPy array processing for numbers, strings, records and objects
Description
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.
Version
2.4.3
Release
410.ohpc.1.3
Architecture
x86_64
Size
9.83 MB
Build Time
2026-03-28 04:09:02 +0000 (5 days ago)

Provides

Symbol Required by
python3-numpy-gnu15-ohpc = 2.4.3-410.ohpc.1.3
python3-numpy-gnu15-ohpc(x86-64) = 2.4.3-410.ohpc.1.3

Requires

Symbol Provided by
gnu15-compilers-ohpc >= 14.1.0
ld-linux-x86-64.so.2()(64bit)
ld-linux-x86-64.so.2(GLIBC_2.3)(64bit)
libc.so.6()(64bit)
libc.so.6(GLIBC_2.10)(64bit)
libc.so.6(GLIBC_2.14)(64bit)
libc.so.6(GLIBC_2.2.5)(64bit)
libc.so.6(GLIBC_2.3)(64bit)
libc.so.6(GLIBC_2.32)(64bit)
libc.so.6(GLIBC_2.34)(64bit)
libc.so.6(GLIBC_2.38)(64bit)
libc.so.6(GLIBC_2.4)(64bit)
libgcc_s.so.1()(64bit)(ohpc)
libgcc_s.so.1(GCC_3.0)(64bit)(ohpc)
libm.so.6()(64bit)
libm.so.6(GLIBC_2.2.5)(64bit)
libm.so.6(GLIBC_2.27)(64bit)
libm.so.6(GLIBC_2.29)(64bit)
libm.so.6(GLIBC_2.35)(64bit)
libm.so.6(GLIBC_2.38)(64bit)
libopenblas.so.0()(64bit)(ohpc)
libstdc++.so.6()(64bit)(ohpc)
libstdc++.so.6(CXXABI_1.3)(64bit)(ohpc)
libstdc++.so.6(CXXABI_1.3.9)(64bit)(ohpc)
libstdc++.so.6(GLIBCXX_3.4)(64bit)(ohpc)
libstdc++.so.6(GLIBCXX_3.4.14)(64bit)(ohpc)
libstdc++.so.6(GLIBCXX_3.4.18)(64bit)(ohpc)
libstdc++.so.6(GLIBCXX_3.4.21)(64bit)(ohpc)
libstdc++.so.6(GLIBCXX_3.4.29)(64bit)(ohpc)
lmod-ohpc >= 7.6.1
ohpc-filesystem
openblas-gnu15-ohpc
python3

Recommends

Symbol Provided by
No recommends