Result for 0002734EAF4D5478C3E12F2AD759AC8D6CE87BEC

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/distutils/__pycache__/ccompiler.cpython-33.pyo
FileSize23242
MD587BF42BAD7287F27E12D8AC8282674DC
SHA-10002734EAF4D5478C3E12F2AD759AC8D6CE87BEC
SHA-25688B221F6B806BE9100D36C3A3BDA25CE03047770E9E57BBDC688C10A9818573B
SSDEEP384:AFkU+0dENWMWmdj3rfMk3fuDB5q8ASe8FTuTtgXSpxJH7ljDMG4ZpI:A6U+0dEBWmN3rfLfuDBDzLdGJH7ljb
TLSHT1A2A273A80B6C4DD2C3E14BF022744213CFB3E5AB9D442B1175ECE1A95BD61BA897F1A4
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