Result for 012566C4332091BDDCB1E5C027269FF1DD7CC5F0

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/testing/__pycache__/setup.cpython-36.pyc
FileSize736
MD592DE19D1B2B2EB7C2F516D2284C67F57
SHA-1012566C4332091BDDCB1E5C027269FF1DD7CC5F0
SHA-2561AD971DADB6A2E3B19F23137AB49E54F5A10F60871F3B5DD02EE2F503AA39F5A
SSDEEP12:IE8vQgcrmMk79JahLxqMiMhoqgdRxQeEffxy9PGgpmxWhUWMiMz+ej:aQgcsjAx3iMdReE3cpPQxWhULiMTj
TLSHT1BE01108669012F5AF09AF6BCF014527B0AB5A27B73B859121C1C01868C841D12A82A0E
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
MD5E7365AD55F386F3F7C85DC25E9646CF3
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageMaintainerFedora Project
PackageNamepython36-numpy
PackageRelease3.el7
PackageVersion1.12.1
SHA-1F4220CAF94D1F6ECE999F20F39974510CBF92A1C
SHA-256339FFFEA2B1523DA021106BC1C8C48778E1371F7D229A234668D10F961A158CD