Result for 05AC47815E4C9A22B81F3BEE4AAF86CFC71C281B

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/core/__pycache__/machar.cpython-34.pyc
FileSize8304
MD58A11D1D63EBB1FFD0AA1A6989249E4ED
SHA-105AC47815E4C9A22B81F3BEE4AAF86CFC71C281B
SHA-25684B59C7CFA652ED6D1003A61A11FC96A758C9F74E6B87DDBF7EDFF645DA90361
SSDEEP192:XO+/rYtTkkO2WLqELgzPLusJBxj2l4k/h+2qmuoOa5IXY2oSOj:Xd/2TSbmEAXpKp+2qAOaIXwj
TLSHT14602B7250E8083BE5C02E6B544794325C7A298EF9B921376353EF5B42F9392C4BBE7C5
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
MD5DDE5F9FD6C49C19FAAD5BB5097437261
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
PackageRelease7.el7
PackageVersion1.10.4
SHA-1D0D8C8E27A9D4FFF267ADD822C85DCDC9061D309
SHA-256C9D965B99E03D086D84DDC23CB06EF23C585ADAA6E459C47B43DFE2AF3246D46