Result for 0228ED5F80BE69BCB4F70350C074443F3500AF8D

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/distutils/tests/__pycache__/test_fcompiler_intel.cpython-33.pyo
FileSize2979
MD577682A00479081DCBE821C32CF82AC38
SHA-10228ED5F80BE69BCB4F70350C074443F3500AF8D
SHA-256FC50F902206D7786CEAFC36AB97BA3A160635965C1C10B4F89C4239C9D84CC4B
SSDEEP48:F/pP99wyhEfNyrTqy5LP99wihEENBV/AgG/TAmXB+4yo:F/pViSEkrOyVViiE8/zEkmw4t
TLSHT1A351EED54B6E8AE6D2981FF9836502578FF3F9A59BE13D11052040B95BC479F237F028
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