Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	3B15410CFFD3FDE4ACBC863911843526
PackageArch	i586
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 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.
PackageName	python310-numpy_1_21_4-gnu-hpc
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	CDEAA1D05212C1ED373AF7C3FFACD1391670950D
SHA-256	6C9944F281F1A7165F4134254807B78001A88C1845D5B3D907581B5979BBC089

Key	Value
MD5	1EDB3022C127E15EA42F6EB9A8211C13
PackageArch	armv7hl
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 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.
PackageName	python310-numpy_1_21_4-gnu-hpc
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	CC79D202DA734A8F928E7834C2E6FC2890B1D817
SHA-256	D633D2AD42D5EE5C394571034E7907A312CD21CD43479B0B96BA798829BC7DE5

Key	Value
MD5	3D4A0D9D172FD8D862DACDB51FB5DD72
PackageArch	i586
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 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python310-numpy_1_21_4-gnu-hpc
PackageRelease	2.2
PackageVersion	1.21.4
SHA-1	163E5352FA454FAACA2D7340EEF1CCBFA1F81C5E
SHA-256	F645EE34C8DC2CF42C78FDD4695A21031C933723B29E98B984BE8B31AF35F8D5