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	015195D64EDA39E78A86856A15181EF2
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	python2-numpy
PackageRelease	16.module_el8.5.0+743+cd2f5d28
PackageVersion	1.14.2
SHA-1	9C8B6041F82322ED9D07C9A8B04086C5BC5AFAE2
SHA-256	3BECBDAB5D73056E3B4E5AAA4723DF20A822E47D236EC7908E87A5F19651B1FF

Key	Value
MD5	E3C3BEF1B067F224FE3E5A78784E38C9
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	python2-numpy
PackageRelease	16.module_el8.5.0+743+cd2f5d28
PackageVersion	1.14.2
SHA-1	6FA1FF4610CEFF0841DF8FB75A45E8D791CF1133
SHA-256	7DEDC7F0F6048F50C61F74FECC214183421590E5EED8D630004ED827D465E1B9

Key	Value
MD5	5B4E741EA6D229ECFDD3B4358695DA1B
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	python2-numpy
PackageRelease	16.module_el8.4.0+2154+0b56c8de
PackageVersion	1.14.2
SHA-1	055926B9B812F7958248EC6D78ECFE340B9C003E
SHA-256	E369B5F1AFDBA66C7D4A75352E9FC3A578C8F5EEFCD8C2F7039CA06C4EEB031F

Key	Value
MD5	596F8B3E0A8B4C66CA031D5BBFB7835E
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	python2-numpy
PackageRelease	16.module_el8.4.0+642+1dc4fb01
PackageVersion	1.14.2
SHA-1	DF417B856764F552F8FBA7EBE8ED9F639356F85F
SHA-256	5F611FD993E72A84C5DE76E4A3B8F96ACB0F17A310FE7862D227B05DA76F80F8

Key	Value
MD5	82AFDF1EE6CF99F58D94EE74CAA9E19A
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	python2-numpy
PackageRelease	16.module_el8.5.0+2579+77770ab7
PackageVersion	1.14.2
SHA-1	DB7FF91E3C78118EC9243267D3FB0ED79EED5082
SHA-256	B6349095CA7CCC516488CF6D24EB85C0EE508C309C1027F10659A9D7346F8A5B

Key	Value
MD5	9F4F6BF0472F8A01F3F33460D18B20F6
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	python2-numpy
PackageRelease	16.module_el8.4.0+642+1dc4fb01
PackageVersion	1.14.2
SHA-1	E9F158369953BFCDA0BB8E49891D76E5C79A7E36
SHA-256	E12E9F379290E14BC9CE779AEF6D8ACD8C705637BD664722AC3E05CCF78B5B2C

Key	Value
MD5	34D032609E4139D92A2DBC0B1676897F
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	python2-numpy
PackageRelease	16.module_el8.5.0+743+cd2f5d28
PackageVersion	1.14.2
SHA-1	2117F45CE0CC1FF4A7BB3F74B9C2679DFBFCBF5B
SHA-256	6427C45499555641A88605E2DC649189B5887B2EB908C34CF34230DD6DA426A2

Key	Value
MD5	0E465A60EA2BFC8B854411252E0790C3
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	python2-numpy
PackageRelease	16.module_el8.4.0+642+1dc4fb01
PackageVersion	1.14.2
SHA-1	907D5C5AED9EA2BF3FB7C69CCE53911AED1D4509
SHA-256	A211E6C3D4308AE5E56D333CDF0AEC637FE126A09B70F694491F029EDE153F6D