Result for 062691B3CEAAE4D87E72BB43C27464DF9B8BE4A8

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/tests/__pycache__/test_ctypeslib.cpython-36.pyc
FileSize3887
MD52F0C9066E299653C287E4FDE964EF678
SHA-1062691B3CEAAE4D87E72BB43C27464DF9B8BE4A8
SHA-256571D460AEEBE502CF13BE8072F2C50F0D1CE2E1A79F4102EE670895F0493374B
SSDEEP96:K+CmzmDyXspATfWzOfTkwo3zeXKWlLGgV2LX4NgXe0ezTkTk:dCE58pAbWzH2tGyVWk
TLSHT1A681A7EA14839F4EFD20F1B8941B13355B63D3DA6764B1F69404642E2F071EA0D61AE4
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
MD5F3D0ACF4935B1B8F2066C0521F325F84
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
PackageRelease7.el7
PackageVersion1.10.4
SHA-16C60DFDCE9572BC86A49FE9E3FFC02E0555D2A2A
SHA-256CEADEA5F1972E94D8966C76B7CA4FC27EFCD0B300AE1D5D3006AE43BE9028FB8