Result for 025A9F08C96BC32F1606A6239ED047A2A947D28F

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/distutils/__pycache__/compat.cpython-33.pyo
FileSize523
MD589207FA56990AE0A253CC9AAE5AAC031
SHA-1025A9F08C96BC32F1606A6239ED047A2A947D28F
SHA-256BD4CB23371F755950E333C0F1135CE8927A1A890136A203E12AD8CF48F9193F2
SSDEEP12:kewlW0dfMikt90NF4sB2duV/jOKLjXsB2duo2aZCn:Mndkikt90z4nuTnuozZCn
TLSHT1FEF00EA0E33D59D3D67D06B6A23000188EF3F70653291A120910A47D04E83BF0A0794C
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