Result for 00CBF09E39A41857E041A9A7707B082A41C82D8F

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numpy/core/tests/test_unicode.pyo
FileSize15791
MD54CD882D6B853D079CFBDA82E0AFA78FB
SHA-100CBF09E39A41857E041A9A7707B082A41C82D8F
SHA-256A48C11252C8ABEEE207BE761F1E1C07F48CB7C0DD89FC44960EC71CA653C44BC
SSDEEP192:k9kJw+Fl5T0PkZavYG+Q2MlVBaUIE/HWupi/8Yb:NiA0PkaYG+Q2+BaUIE/HWupi/8Yb
TLSHT1D662DCC1F2D61DA3D2B562B0C1F4230BBBB9F463A301B784696CA53D5598369C46E3CA
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
MD5BE151B92F041AE9666E7AAE7B6C9F5DD
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
PackageNamenumpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-10FEF662C99066C4EF033CB375996823556402C41
SHA-256B77AC77374D29FC5E82947C936BC6EF8C5BB6423F1DBF6D71522346D2D43546C