Result for 014B97E5D9C8B56DA5EC40EA51EFCE3579CB6672

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numpy/lib/tests/test_format.pyo
FileSize17624
MD526C964D4FADCFBCE64D86D18924C8E44
SHA-1014B97E5D9C8B56DA5EC40EA51EFCE3579CB6672
SHA-2564B437B0D6D43F83896E4081FE67D9AA84AE17BC876C27D1DB296C991FA3F3834
SSDEEP384:Kq4m1m2sqgXhhobyAZDdwrMwBMgmwG6Zin57RLJx:q32sqgXhObyoD0MwBMgmwG6AhRLP
TLSHT178821081E7F9898BE5A01534A2F45207FF76F0B7AB01A74216BCE47D26D4369CC6E381
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
MD50E465A60EA2BFC8B854411252E0790C3
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. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython2-numpy
PackageRelease16.module_el8.4.0+642+1dc4fb01
PackageVersion1.14.2
SHA-1907D5C5AED9EA2BF3FB7C69CCE53911AED1D4509
SHA-256A211E6C3D4308AE5E56D333CDF0AEC637FE126A09B70F694491F029EDE153F6D