Result for 051BE1F15CCEB024556DF1232244E3E4FBADEE34

Query result

Key Value
FileName./usr/lib/python3.4/site-packages/numpy/testing/__pycache__/noseclasses.cpython-34.pyo
FileSize9950
MD5A0A12FCA3AE6784C726766FB62998E56
SHA-1051BE1F15CCEB024556DF1232244E3E4FBADEE34
SHA-256C6DB6466F8124BC358569C72BB4F7299FB0DAC1979F483EAF55726AC7E22B998
SSDEEP192:rslD0r8RRQYWIFTEyjtbdPRU1J2KP3q4dMggTDLp47LxSX1NXyK:rUD0r8RRQYbFTE2bdMvMyNrK
TLSHT10A22E9C0B343555BF855F3BA807019016BF6E6DB6B02AB2336ECD1BD3BD43915CAA14A
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