Result for 04591B994F807B3A6AF79D85FB4A911F16E61CF8

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/command/__pycache__/egg_info.cpython-36.pyc
FileSize618
MD59315E8B12D549B08DEC8F6C6AC599D28
SHA-104591B994F807B3A6AF79D85FB4A911F16E61CF8
SHA-2568DBFE9BDD7B4D22B26EA3C82A992A7C5D5C52D56FAD93C506B321D998D30ACF5
SSDEEP12:IySihPwQFi/qcy2tPevqwM6GeuvB2d4OsaflAUUqqkL3551qq1d:dyh/qMgyoIg4OsCIqq635Xqq1d
TLSHT1AEF04C91C6AE6256F1BCF1BC506B63180A6156FF5294A2362930265E2C865E08521901
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
MD598C2D23AE8626687A46F08BD8DA65635
PackageArchaarch64
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
PackageRelease7.el7
PackageVersion1.10.4
SHA-16A46B1CA0C80AD2FC9A8DF05451E9BD13C7104F9
SHA-25614CFA64D82764CC7EA25F19B74A1C8B41DE4D2D28E1CC82F2692E7AB628A7B6E