Result for 00BF5F1C1665B2B01C46690A9D48E956D59D8542

Query result

Key Value
FileName./usr/lib/hpc/gnu9/python-numpy/1.18.2/lib64/python3.8/site-packages/numpy/distutils/__config__.py
FileSize1742
MD52096A8F06ECC7E5C2439B8070D8C2A64
SHA-100BF5F1C1665B2B01C46690A9D48E956D59D8542
SHA-256FEBABF0AB947DF872B153E7A933DD442B0091BFCD530A4F116A739FE487D71E2
SSDEEP48:cSYnpScp/ByM1u/ByM16F/ByM16f/ByM1RpNOEfj9lXY:cSYsYQM1uQM1EQM1uQM1RpNU
TLSHT10031DE9895F9A622F7835D78984373D9C711FD13E54EB971FBDC06DCAFA042805A4A30
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5EC4D5A4C78C9ED08C28CC5DE15F87652
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.
PackageNamepython3-numpy_1_18_1-gnu-hpc
PackageRelease2.1
PackageVersion1.18.2
SHA-10FF8330F54D03E7E668553D23FA597AAC93E0B0A
SHA-25694C4BDC993E0A926682A24902C5D15DDB19A1D0BBD2B75B7579BBE3A54DB6633