Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	E39DCAC7FD631E073CBC925EC5F066A3
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	CBS <cbs@centos.org>
PackageName	python27-numpy
PackageRelease	11.el7
PackageVersion	1.7.1
SHA-1	6301E720F88A83B4F4557F79817450D6580D6D5D
SHA-256	C79BCC9EDB179839BD280569C77174747BDED50F364F5B4DF63B8704C1019827

Key	Value
MD5	95E77C3B64889EB4ADAE731BF0C7D5A8
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	CBS <cbs@centos.org>
PackageName	python27-numpy
PackageRelease	9.el7
PackageVersion	1.7.1
SHA-1	79134ADCBC57D76474B0DA0A920E58FF2ED39183
SHA-256	4FAE368363B54CE6596CDFA968B8185D557390D59E68C7D8CC7EE82C73DCDAFC

Key	Value
MD5	4C3223F997EAB0F0017D2C36308FCC0F
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	CBS <cbs@centos.org>
PackageName	rh-python35-numpy
PackageRelease	4.el7
PackageVersion	1.10.4
SHA-1	F5FDE2C7509F0AC2AD36694B9DA1ED2408C82314
SHA-256	64CBEEAE1CC487AAAB51EC046714E5DF80C28540F897096A19F3AF6F54987D77

Key	Value
CRC32	15ED0FB0
FileName	numpy-1.7.1-13.el7.x86_64.rpm
FileSize	2957988
MD5	2AD64E105448E0395ACC317EB263B28D
OpSystemCode	362
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 BuildSystem <http://bugs.centos.org>
PackageName	numpy
PackageRelease	13.el7
PackageVersion	1.7.1
ProductCode	202232
SHA-1	5EEE58DC8104BF6D1CA8511FAF0B3B0712073C90
SHA-256	5D8E2789F3483D81334466405D6A0FE0E86FCBF1887C216B05835D9C52FB0A32
SpecialCode
db	nsrl_modern_rds
insert-timestamp	1647013363.516298
source	NSRL

Key	Value
MD5	684A6E87F8F4592058690382781D1A5E
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	CBS <cbs@centos.org>
PackageName	python27-numpy
PackageRelease	10.el7
PackageVersion	1.7.1
SHA-1	2A4F9475CBD888282AE3E9758789E0E84BC624DC
SHA-256	2F4BB7E6BD6622E4CEEEED98D983A533D0D7A6754950AD3C1B6E9E710620BC21