Result for 029194A1062660F44CF14621D95FC471B16C25F7

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/__pycache__/__init__.cpython-33.pyo
FileSize5818
MD5901E8E2F6A0981995D3E8218B612B585
SHA-1029194A1062660F44CF14621D95FC471B16C25F7
SHA-2561B23E40FDFE8875676C68980BD24811A027B86C635FD02EF7848365419AF54EC
SSDEEP96:Nd5p2aCbDSYxPpqrPpqeFXIFKxduqStsQngog9WcaLWKyyUbtW5JC888e:NTp1kpwVp3A8WcT85JC888e
TLSHT15AC1C5563E7C93D2C767C7F1249E42A1CB76B677AB102606313DD1E11BE24B3221D2AB
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
MD5F43FACB3567683951790F3BE5441A286
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
PackageRelease2.fc19
PackageVersion1.7.1
SHA-16E7FD7E9E168126EDDD9DFDF156F6619493607C4
SHA-256E6464D8F868D61B70F010F7CBC198252B4D3F835A15F3A25EE1DC16942DF528A