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	CA15D40EC5A77F93121F8B389C035AF5
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 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	python3-numpy_1_14_0-gnu-hpc
PackageRelease	lp150.2.15
PackageVersion	1.14.0
SHA-1	3E865217074D64FBDC2BBB33460990CDD16F097C
SHA-256	9A1FE605286A48B8BB21EB1ED32CBB01B84AD254951CA64D80D74D7010E3DCF8

Key	Value
MD5	966F03137AEF5DFD4D59797CA3C4171F
PackageArch	s390x
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://www.suse.com/
PackageName	python3-numpy_1_14_0-gnu-hpc
PackageRelease	4.5.1
PackageVersion	1.14.0
SHA-1	2C6E9860C61F8632DB634DF7DA5444B406C68CC5
SHA-256	987477DB6F9C43A2614FDDD1D717093755DC21D3F97A73D5030771D54E116635

Key	Value
MD5	C90DDBA2671A4AD6984AD06CA10E247E
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 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://www.suse.com/
PackageName	python3-numpy_1_14_0-gnu-hpc
PackageRelease	4.5.1
PackageVersion	1.14.0
SHA-1	96C8A9379D420F8C933A35647B3C916890FC332C
SHA-256	952C16F21CEC4AE69E994F50CA95FA4507EA983A5711B395744A9F993B11AE7F

Key	Value
MD5	BFFD0C71E482A52AA938A1A9225EEBDD
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 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	python3-numpy_1_14_0-gnu-hpc
PackageRelease	lp151.4.15
PackageVersion	1.14.0
SHA-1	CFFCDA1EE7A77A3A3896D0C211D7EE2C80E64D99
SHA-256	74C7F127792395843280ED287DF2A81F7AA97F08E3C74D645CC85A65B8251235

Key	Value
MD5	98CE6269F7C957E2B3D22A5128F4C103
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 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	python3-numpy_1_14_0-gnu-hpc
PackageRelease	lp150.1.69
PackageVersion	1.14.0
SHA-1	0897E527E1F17BA32F729CCDC0C95D71132F0E35
SHA-256	DC53FE0B0C962514D8338F2013736F7CE7D729A9AA3D6E85E659145E0C034D91