Result for 00D99B0823A449DCF41BBF5F4B929A68F642C7C1

Query result

Key Value
FileName./usr/lib/hpc/gnu11/python-numpy/1.21.4/lib64/python3.8/site-packages/numpy/distutils/command/__pycache__/install_clib.cpython-38.pyc
FileSize1658
MD5B768DE62757D53F82F8928F3297A84E5
SHA-100D99B0823A449DCF41BBF5F4B929A68F642C7C1
SHA-2564AB96BFAF58166D055A23E3542B9F850C0EFB78F5BFE37DE01C2BF94376C6841
SSDEEP48:tMAk3vc/jEQooAH0gBjvfqqs59l0jOShrWIf3ZZq44qqgM4GBwqq0:yAk3vIJoMgBjvSqs59l0SIrFf3ZZq44n
TLSHT1D83120D4830C6EA9FEF9F7FC5027052495F1CBF693CB60630AA21616AC871C1867B446
hashlookup:parent-total3
hashlookup:trust65

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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
MD5686493BA20D3098543A7DBA95ED4D34C
PackageArchx86_64
PackageDescriptionNumPy 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.
PackageNamepython38-numpy_1_21_4-gnu-hpc
PackageRelease109.5
PackageVersion1.21.4
SHA-10043E3D4C154C85F7AE6B944C9EFBF461C42B54C
SHA-25622BDBC21F5D6C15184DE01DD2D2309BED6FC6B93A072F43D07DFFE77F3B1B144
Key Value
MD5C4A2209ECB56880EA930A7023A366D09
PackageArchx86_64
PackageDescriptionNumPy 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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-numpy_1_21_4-gnu-hpc
PackageRelease2.2
PackageVersion1.21.4
SHA-1303A6F140D06DC920DCD1029CC9FC834CEC42C85
SHA-256FC4571C72266BECB9C29552F9D3436C164379D56D2A72C107B6A2B4A739C307F
Key Value
MD5DD4D05A51124D9DA3A603479D800CCF3
PackageArchriscv64
PackageDescriptionNumPy 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.
PackageNamepython38-numpy_1_21_4-gnu-hpc
PackageRelease4.1
PackageVersion1.21.4
SHA-1C7C7A89805A7E0EEF3EF1448466F05B2F5B77C50
SHA-2565402B497D26DC119D11B7180452A6ABCA83752089E2ACD1D559B381AB1E03AF8