Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	1F358B66E1E23EA7BB0F9BDE6121545A
PackageArch	ppc64le
PackageDescription	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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	CentOS Buildsys <bugs@centos.org>
PackageName	python3-numpy
PackageRelease	10.el8
PackageVersion	1.14.3
SHA-1	A5BF6B80D6522B10C852680A5F2B6D3300228A60
SHA-256	7BB2B7A220F5B155F557C20F70D69392E48F330C82504485280861D0BCD8FE97

Key	Value
MD5	9040779312334D15783F22D44A652D12
PackageArch	ppc64le
PackageDescription	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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	CentOS Buildsys <bugs@centos.org>
PackageName	python3-numpy
PackageRelease	9.el8
PackageVersion	1.14.3
SHA-1	1D82CC9B953CF4EA9FE96C0588A797D802953271
SHA-256	390E2B094367F85E5174A88EEBCAC5BEDBFD00FA004DD42A18E21730448CD182

Key	Value
MD5	7C605A81DCBD058C25B4A2785E1EFD39
PackageArch	x86_64
PackageDescription	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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	CloudLinux Packaging Team <packager@cloudlinux.com>
PackageName	python3-numpy
PackageRelease	9.el8
PackageVersion	1.14.3
SHA-1	14D80C573633511ACF752C261D66C458A68AC84D
SHA-256	0C3CBC8674C6FAF7626483F50C5F93633F5F912605B24415708C4DCE57B14D46

Key	Value
MD5	45E12877B2CAC75D130967695CA8748E
PackageArch	aarch64
PackageDescription	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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	CentOS Buildsys <bugs@centos.org>
PackageName	python3-numpy
PackageRelease	9.el8
PackageVersion	1.14.3
SHA-1	1C33AAAEFE794BEBB33E2BF50F88CCA4198C0080
SHA-256	B8F4F735B6A10E932C99BC038163600D33EFF538ACBAB176C21EB0CB015F6F66

Key	Value
MD5	BA444A614068FC0D7781166E9FED2F8F
PackageArch	x86_64
PackageDescription	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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	CentOS Buildsys <bugs@centos.org>
PackageName	python3-numpy
PackageRelease	10.el8
PackageVersion	1.14.3
SHA-1	2FE2102972289E7C29D6C9BD72BF4F70A3554D03
SHA-256	6AF7F17A94C666DC0AB7624048C332C30D5868AE0AAFA271177C8F74B9279264

Key	Value
MD5	F890A99D18874091A6BB4524A716456F
PackageArch	x86_64
PackageDescription	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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	AlmaLinux Packaging Team <packager@almalinux.org>
PackageName	python3-numpy
PackageRelease	10.el8
PackageVersion	1.14.3
SHA-1	787E2B02BE9EDC25FD57DDFE07A0DB02DDD6B65E
SHA-256	867FEA17F85BFF5CA83F552E83FD26509566DEA11CDF546BCBBBEC1F5AA090CC

Key	Value
MD5	DE6E761B000D4B0344A493309D581C46
PackageArch	aarch64
PackageDescription	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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	CentOS Buildsys <bugs@centos.org>
PackageName	python3-numpy
PackageRelease	10.el8
PackageVersion	1.14.3
SHA-1	024CA925362109718B8C3F1422FF762C7A4B5BE7
SHA-256	F53CA0232CA19F4AC16558E9AF35003D737660B1D27CABECAE09CE471926F4D0

Key	Value
MD5	922B4F70B5C22973AE8C527A9EA42A9E
PackageArch	x86_64
PackageDescription	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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	CentOS Buildsys <bugs@centos.org>
PackageName	python3-numpy
PackageRelease	9.el8
PackageVersion	1.14.3
SHA-1	47645BC0526F5524DE6D7D7D6C9034309F15B316
SHA-256	C6DC2CF6F1F4FC15C079A14818999907E3EA4856CDE6D70DF6FBC9ABA575A40E