Result for 0255F26E7169E73E080127A8363D16DD7926470E

Query result

Key Value
FileName./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python2.7/site-packages/numpy/core/overrides.pyc
FileSize7092
MD5EB93B292C9B940C251AAC5A3B9D532A3
SHA-10255F26E7169E73E080127A8363D16DD7926470E
SHA-256E864F2E35C53D734BB4101E0E4E34CC93328B569396F59C525BCF657ED267FB3
SSDEEP96:wrHlAOrHjTHZf0gLAVHnrU2bV/mAMhNG55CjHs80tTVCeWf9aI/HSZVQrV90EUhw:wr2OPTSgGLU2h+AM/HyVCeWZ/yHpw
TLSHT116E183883AF41172E1EA41B9D1BB411F8F31B07BB2523641756C95BC5FA863AC26FBC4
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD58B15592E9839B14AF4FF54D70C17D0C2
PackageArchs390x
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://www.suse.com/
PackageNamepython2-numpy_1_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-10047CF327913B1D3DE0597808CEFAA3917690BAA
SHA-256637DC1CA383B2DD3249DBC432470E71BD6DD807E762344F5297511EA2B7C527C
Key Value
MD542BA148483C11EF388EC7A9437612A83
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://www.suse.com/
PackageNamepython2-numpy_1_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-154B915FA4BCB830808937173CFFE4EAC07F229DD
SHA-2569BA14610B64B7C825AC84651DF2C389FAE2F6026D68BF56FCB78B01569BAFB6B