Result for 015A7735646FFC45C9E2885776BF96886566C5A9

Query result

Key Value
FileName./usr/lib64/python3.2/site-packages/numpy/lib/tests/__pycache__/test_stride_tricks.cpython-32.pyo
FileSize10354
MD5D7182DC1D61C622384489A25AD43BE9B
SHA-1015A7735646FFC45C9E2885776BF96886566C5A9
SHA-256B670AAA7723486A2C025B82C8740986950FED0B193BACA481CB295864BC7541B
SSDEEP192:VKBncu+7FZW2wz/56pH6UfTA0vJ5simUba8:VKBncu+7FZW2wz/8pH6UfTA0vP5bR
TLSHT1EF22FE42B3FD0D9BF0E889B97128125ABD71E1975B82EB03265BE4385EC136E4D3E4D4
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
MD5E55249D763F2929E94366498C88B8D6F
PackageArchsparc64
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
PackageRelease0.3.fc15
PackageVersion1.5.1
SHA-17153ED077A9725C60C00ECAA93AA22ABB417839A
SHA-25615035F48E69656F19B8CA08973C28C8CD32E702DBB82B5435614313C6FB36307