Result for 0586366DA303FBB8D84971B2C83695DB53782D8E

Query result

Key Value
FileName./usr/lib/python3.4/site-packages/numpy/doc/__pycache__/basics.cpython-34.pyo
FileSize5973
MD543E04E19F9BB66A0C03FF6325A675809
SHA-10586366DA303FBB8D84971B2C83695DB53782D8E
SHA-256305D9202F9F879067101558AEEA0DD4B1EC81598B932E792FF82150506DF5FDC
SSDEEP96:rTlWd0eKLbJiJ4h3aeMsZW8QVzP5S4M6Jh4RzJHCrtqyoAVAShEFKq:rTK0eKL9iJkV1ZW8e75SP6v449ycq
TLSHT1B1C194417BC4A3BA531301E0195BE691C32542AA13E20EC7742EA9781F57B3E97B97EC
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
MD5988FAF24637EB942525E7D0B4752911B
PackageArchi686
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
PackageRelease6.el6
PackageVersion1.10.4
SHA-167E9E435864FF7D809ED2C626359AD5C4183601E
SHA-256C86085A56BAD82194870FEA84FB3B90834E4D528ABF06F1B28CB4BAFA74EC0AF