Parents (Total: 95)

The searched file hash is included in 95 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	686493BA20D3098543A7DBA95ED4D34C
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	python38-numpy_1_21_4-gnu-hpc
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	0043E3D4C154C85F7AE6B944C9EFBF461C42B54C
SHA-256	22BDBC21F5D6C15184DE01DD2D2309BED6FC6B93A072F43D07DFFE77F3B1B144

Key	Value
MD5	D3967809ABFDD823E0991DF465417147
PackageArch	s390x
PackageDescription	This package contains files for developing applications using numpy.
PackageName	python38-numpy-devel
PackageRelease	4.1
PackageVersion	1.21.4
SHA-1	01424E11283E37EA18FAB4CAD19897D1E67D1053
SHA-256	1CCD7DE5B72C941C445A81A674394B1D48A8C488641088DE14D21968693A9B2F

Key	Value
MD5	664CE1685277B742632636D58F17258E
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. Numpy also provides facilities for basic linear algebra routines, basic Fourier transforms, and random number generation.
PackageMaintainer	umeabot <umeabot>
PackageName	python3-numpy
PackageRelease	4.mga9
PackageVersion	1.22.0
SHA-1	03C9F84FBD4A7B2B6A33AC41F68FC218699F4B9E
SHA-256	B2C01DD3D2EE87084610BEE348A80C344D3F250F638B551F20E1978AF406D186

Key	Value
MD5	B5F363FA812827AB83C6AF040A0CC835
PackageArch	i586
PackageDescription	This package contains files for developing applications using numpy.
PackageName	python38-numpy_1_21_4-gnu-hpc-devel
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	05057548042EEAA87DAE49359F6F1EF561BC5066
SHA-256	3A2DC1F53D81ECDAD161FB5DA667978BA245C472D2B4CB25C5CB207F79963842

Key	Value
MD5	B13FE96BF47AD07F20A5BAD91F087A35
PackageArch	i586
PackageDescription	This package contains files for developing applications using numpy.
PackageName	python38-numpy-devel
PackageRelease	4.2
PackageVersion	1.21.4
SHA-1	078BDEC80DD0691F216B7988A0119F465D1BEAD0
SHA-256	28AA5D856286E1E8112E71A7686A629AC6538D540F78FE7F15B8E8036649DD24

Key	Value
MD5	BA4ED6BF24A44A20DB999BBFD364D091
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	python39-numpy_1_21_4-gnu-hpc
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	0C7C315F312C9E81F368537D0A739734BDCFBE1B
SHA-256	45AC764E6A4F867242790467924B5271C09AD9FA38A822822BCE6CE08A244FEF

Key	Value
MD5	7975DD1713377AE3FD30E6B830B40F80
PackageArch	x86_64
PackageDescription	This package contains files for developing applications using numpy.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python38-numpy-devel
PackageRelease	2.3
PackageVersion	1.21.4
SHA-1	0EE3D0BAD63242F465ED321D1DDCCE19B0F03AB9
SHA-256	20CB8514E405782BF2669E7507B658C43AC8920E8085E72CDD024FCFDC55318E

Key	Value
MD5	1FBE0FF2E065C60ACC9E2C451B56FF67
PackageArch	armv7hl
PackageDescription	This package contains files for developing applications using numpy.
PackageName	python38-numpy-devel
PackageRelease	109.6
PackageVersion	1.21.4
SHA-1	12BD9462BF7AF1778276EA407542A02D52664E92
SHA-256	728F9CAC564F58E816BD4CC951E365E76F0E59A4A37FEA1AD7C88E1E5F726774

Key	Value
SHA-1	1411C2202F79588E43E7537FFE1CE7FA3ED9F9B1
snap-authority	canonical
snap-filename	6dPPmuIIEWMGqZtQgUSdNAUXBNM5GwGx_2.snap
snap-id	6dPPmuIIEWMGqZtQgUSdNAUXBNM5GwGx_2
snap-name	sacvision
snap-publisher-id	MviPa7vCxYoQw8EaGXlBOTeIg4BUOCWo
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2022-04-26T10:43:31.102960Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/6dPPmuIIEWMGqZtQgUSdNAUXBNM5GwGx_2.snap

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