Result for 02A11A8A39F430E08400AFBCC29DAEEF62F51AE5

Query result

Key Value
FileName./usr/lib/python3.2/site-packages/numpy/distutils/tests/pyrex_ext/__pycache__/__init__.cpython-32.pyo
FileSize167
MD55D09E64772D52591D6003291270175A1
SHA-102A11A8A39F430E08400AFBCC29DAEEF62F51AE5
SHA-256B483E49F0B856CFF5A9DB1FF4FFE9CCDB387068BB55369B644CC045D18C524AE
SSDEEP3:yQGt/mleh/Tj3tNltNltQp4T9YKKWMmoWrzFoc2dNmWeXosRMLQRTZIaiitn:yR/Seh/T+pi9YRLorBB2dcWeYeMcJZI6
TLSHT17FC08C00A73A02C3EB38497F6310022EDAC8E823422864683508150E48CC0AE092A980
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
MD51C21B72F9FFDFCED2A5F1069B9FBB70D
PackageArcharmv5tel
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
PackageRelease2.fc17
PackageVersion1.6.1
SHA-190F8083441CA6F64B00270DE397A8747CBD839C3
SHA-256EF7053A77744EF965CB66CB2F091B16670F250B8218D40DE2468C7EC08F94048