Result for 0206B87A2E36918BF4731AF9EB453C55450F9759

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/lib/__pycache__/nanfunctions.cpython-34.pyc
FileSize40941
MD5281484E5C4B1CD8F739E72B60DA5C256
SHA-10206B87A2E36918BF4731AF9EB453C55450F9759
SHA-25664B0A1289DD34F585BE4BC960099BBF9A7C0902674DA206F5514A66C5106A3C8
SSDEEP768:05trgWfTLsPmTToonH2jG4kn/vjHqrPDLQtLLZrvol9Iheooy4jghs4w7vElWlxS:05trgWfToPmTTX2jG42/vjHqrPDL0LLT
TLSHT18103B40A3FC517BB5243E1F529BE90CACB24C06B66612741309EE5782FA6730937E6DD
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