Result for 00557ED2572EA165EB38A1E9707E7CC3DF8957F9

Query result

Key Value
FileName./usr/lib64/python3.2/site-packages/numpy/__pycache__/add_newdocs.cpython-32.pyo
FileSize252769
MD5A8055D0E29BE1DC1C33C18A99D51F9BA
SHA-100557ED2572EA165EB38A1E9707E7CC3DF8957F9
SHA-256DEC1971E55DBD4FAF4CCF63E80198CA4B959203BC84B22C74D48B977C59716B0
SSDEEP6144:lNLe/Xcj3pJM8P5SNpyiX/+efNptP1raedUyw9t/8W0Lsh9QHT9oWgxCOXRn4jtl:DM6m3
TLSHT13A34940A3DC907BA1343C6F655EF4986E721803B9A61298930DF65742F66E3913BD3EC
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
MD5A8624F0ED48BD4AFBAD3D3C766D77DE2
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
PackageRelease2.fc17
PackageVersion1.6.1
SHA-123E0359C94EB873D68565614B3E47257A043B0DF
SHA-2567B7C4F6ED29FEA4ECDC2D502C751109925F155ADB2F722860AD5B21044D0DFF9