Result for 040FCB8380FC655048643ED3E6A74D22DB538D76

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/core/tests/__pycache__/test_unicode.cpython-34.pyo
FileSize14847
MD5FCAA93285C9DFE84C7DA73375F6A63EE
SHA-1040FCB8380FC655048643ED3E6A74D22DB538D76
SHA-2569DE193DDC36D209608052330F21CEBACBA77142439DA25CD75806864FBE76662
SSDEEP384:+4TCVFAUs+a9G3R3EPyZanXFb0b1KHyB3BKn8jw7lzKJ5vm+:BCVFAUs+a9G3R3EPyZanXFb0b1KHyB3r
TLSHT12662EED2F3D36A6FF125F37684B973415E72F4206B01939666B4A4392ED4B82C92D0CE
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
MD5DA6F5C2043671AEB08592C3F69D496EE
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
PackageNamepython34-numpy
PackageRelease3.el7
PackageVersion1.12.1
SHA-1F5617464497BB85F3F75430BAADDC6A3DDD824DF
SHA-256BB521F417262BEEA6394978A021D156B120F8C25F9FDCE8CA6E088E9F2CFDE75