Result for 03E81D1F953EB4CB0FAB4AD7AC238C445AAEA83A

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/core/multiarray_tests.cpython-34m.so
FileSize69720
MD5538D99E5D5AC62497F3FF2C707188443
SHA-103E81D1F953EB4CB0FAB4AD7AC238C445AAEA83A
SHA-2565A0E4F933AD4E2DCB6C467F5B18377C01AA01A07E61690BAA61ED3F57EAA0FFA
SSDEEP384:KN+FaPzYg0BjrWUCUJSGXvrneky/na8YxjXJ8JYz1CU5YxvrG67PqNVWd8LTe3B:RkYfViUCITxLT6xjDPqNVc4ex
TLSHT18A6362D1FF011F57CA8D5778158A3FB0F76D282993684203AE4B2ABB99D2B79048E543
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
MD549B9C4D81E4334F8B60BC0782881DD65
PackageArchppc64
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.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc22
PackageVersion1.9.2
SHA-14F8E0E460D0B344DD87E0B9EB98D376368540BD8
SHA-25688C0BE48B1D3CE73D6F5A77C1E9D84A60154DC34E0C4B71EA378F886516807FB