Result for 0141D28870D26DF07351818F4A7B9919855BC480

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/ma/tests/__pycache__/test_regression.cpython-34.pyc
FileSize4012
MD570EFF98EC4FAFE43CD08F1003E200672
SHA-10141D28870D26DF07351818F4A7B9919855BC480
SHA-256E776DAC732DEAFADD48FCFF005DF59A6EF0439E0BDC8390E893DCAE7E2AD8BC0
SSDEEP96:kWbmcuWTJaKqXa2A+fM+//+Q1nzrEqZBtDVLTeAw5d2og:kWbmctTR2aX+EC+Q1nzrEqdDV3oX2V
TLSHT198811D9297C64D6FFC66FBBEE03962004770F6153F45A30986E2E53C2FD83846974185
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
MD5DDE5F9FD6C49C19FAAD5BB5097437261
PackageArchx86_64
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.
PackageMaintainerFedora Project
PackageNamepython34-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-1D0D8C8E27A9D4FFF267ADD822C85DCDC9061D309
SHA-256C9D965B99E03D086D84DDC23CB06EF23C585ADAA6E459C47B43DFE2AF3246D46