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	1DB5C4EBBE8FE461C8CCE5D808D0036D
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	python39-numpy
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	AE59BDA389CFDB23FAE7BD03B0D9E6C117DB807C
SHA-256	90071E5E4F1F220D84D2F1A947FC7B4C4463049EB6CC7AECD6F9BCE30D071C8E

Key	Value
MD5	D6B5D71C3323FF78BC08D51BB8D2D86F
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	python39-numpy
PackageRelease	2.3
PackageVersion	1.21.4
SHA-1	D0EF35A07EF603E604B42F0D1ED9561EF0CBF6D6
SHA-256	3D2DE41475BC092E22DC9CEEF009E6C1387024B78AF11BAC11D6CF13E6089ADD

Key	Value
MD5	AD09A641883AE4D56CBC734378FE90D5
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
PackageRelease	109.6
PackageVersion	1.21.4
SHA-1	4C73D724DE6FAB41F668E9118D6E8A1E2D11991C
SHA-256	F29072E324B271FBB9A7737780C64D27FB788497CA8343F9878A345CF9E98DA6

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//packages//python-numpy-1.20.1-1-x86_64.pkg.tar.zst
MD5	B9963A4C40C3BBAB51E9E3395337B298
SHA-1	8005376F07DED563405D01617EA9A5F69199BDD8
SHA-256	23E63EC4953AA7C7B704B9EB4634BADAD63183ED367350EE1DF18EC400E05C92
SSDEEP	98304:gvlw2/9KbgzCN8mRd8z7N+/vBx0C600TNjdpIpB:aq2puN8mNvi0mdaB
TLSH	T1192633358E3844D4C138B171CA985EEC91C16D6DE2B2076F5DAE238C57BD8C4B78B2B6

Key	Value
MD5	092D83136143A7A1E286EBE8514E0553
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	python39-numpy
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	E78B2170DC1B61C12460DB51F1E0A0A24BE5BE39
SHA-256	34E54C8DF8F1CA60EBAEEC205889DE1AE291E798F8AAF8EE43C6F5BA9D42790A