Result for 003F0C7E7900F85265346228A72834AEB691EADD

Query result

Key Value
FileName./usr/lib/python3.3/site-packages/numpy/lib/tests/__pycache__/test_arrayterator.cpython-33.pyc
FileSize2768
MD5182CBC2909D36632FA6C4AC3F65D0FF2
SHA-1003F0C7E7900F85265346228A72834AEB691EADD
SHA-256FB177FB9399B3384229852637AF21093A3D6FE57FAEC14677C39C9649278059F
SSDEEP48:ZU6EEz5QYyAL8ZyAYS8JjyArS8JjyAxiL6xvvT6t5A9WNd5OCx:ShEzOYyTZyxSCjy4SCjySRdTkAW5Xx
TLSHT1285103A0637F42DBD3B47B75A0701312FF76F067A7022F432264D99A6EC833B155A498
hashlookup:parent-total1
hashlookup:trust55

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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
MD57EF7B66C0A30EC005A94929408DF4ABC
PackageArchs390
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.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-1D2F2ACD64FDEBB4F187F26BBFD82167799EC0F99
SHA-256A6AA88383FD86C984D8F214D7120D72E093471BEB89D233D330DDAEB3806A49D