Result for 01E4DDCA01069E06444410752DDA7C29D512339C

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/testing/__pycache__/noseclasses.cpython-33.pyo
FileSize15129
MD5DA8074DB9C61B83B4A1EBF5476085896
SHA-101E4DDCA01069E06444410752DDA7C29D512339C
SHA-2564E6801288A5D4EBB2B22DB4574C6BC1746D9846DA79231F4CFD0540DDDD88D85
SSDEEP384:550D4rREJ9hAzDuHSiEf0GkyknZHUEiLsp9AyUsS4s5mHfAN+otfhn:D0D4r6RAzDuHSiEf7kyknZHUEiLsp9AD
TLSHT1146275D0A33D92D6E4B50E75407006569FA2FAB797002F9222FCF1FA2BC8337465B685
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
MD588890C709514BFAB5729992B9A006FC9
PackageArchs390x
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-189EB4311CA7D8751E5C591999C3A5DAC6DCB5F7C
SHA-2561C6FD6C0F753287F590AF40DD6FC168F8703923A18B34ED7549AB78779B08F61