Result for 0148B28ECB494BC46F126E7779002A602D4B68D3

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/distutils/__pycache__/setupscons.cpython-33.pyo
FileSize979
MD54611EABD0B5CC4D4DBB52DF9A8AC6668
SHA-10148B28ECB494BC46F126E7779002A602D4B68D3
SHA-256915201BCB5498A55761A7CC296AE5C8C3E0F35D4B3A56F361E7A655ED182BB69
SSDEEP24:kZlyecvPLwv798JiMYpBuAjVtpnkmgQ/7iMUCnUzGk1:glaLwvCJBYpBuWjkXeBUCY1
TLSHT1A611BDC067ED0DD7C2B10B76D0A14A258F72F6E2BA846A011579B0D955DC7E38B07249
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