Result for 001176367050396EFDCBF8B5FA570EFB72450DF6

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/compat/__pycache__/py3k.cpython-33.pyo
FileSize3657
MD5708D411404D0AFB232B9FA03CC8BC106
SHA-1001176367050396EFDCBF8B5FA570EFB72450DF6
SHA-256469F8C45EAA7C1D530296EC261F6CA253FD637E732C9BE6469C805A43679EE29
SSDEEP96:tTNQHNZKuNZKnF3OpQnNZGH1pl1CLvC/XqN:diZKaZKF+pMZw1pl1Kv+G
TLSHT1257111C0EB3E4ADED2F507F95A61512AAB63F5532705BB421B04932E0CCE2FB0E53A44
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
MD5D9909581BDF8C27A0A139C2043E2BBB3
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.
PackageMaintainerKoji
PackageNamepython3-numpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-1DE6C7C1C824119EC04019EAD62F438AB9401D0D3
SHA-256B64D97713EDBDF1234A417199486DB4F5498EC036D37D79AF7ECB7615EB3EA46