Result for 01C72F9C94D0CC33FA9394724E76EABF5BB14687

Query result

Key Value
FileName./opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/numpy/distutils/command/__pycache__/build_clib.cpython-36.pyc
FileSize6880
MD50D7C44F0559E19E965E935C6DB892AA5
SHA-101C72F9C94D0CC33FA9394724E76EABF5BB14687
SHA-256AE0BC666E5C763AEAA941B582FB7D72E20E175B5378AB17D63CD94B1DD235362
SSDEEP96:mIBTQGKxOVv26D3K/qR0mkWnv+IOnOo1oU4Q65jMiGdqg24IsuYsBtQYR7oHoAf:GoBzH0mk+WO/tMO1b3QYR7oHoAf
TLSHT1CEE1C7AB47085C53FEF4F6F4887C07D685F0C3B482E6712B485041A588A31F8AAF9D7A
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
MD5D3D6FF6736FEE858B870660D65F38DA4
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. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCBS <cbs@centos.org>
PackageNamerh-python36-numpy
PackageRelease1.el7
PackageVersion1.13.0
SHA-12F2251F1E515458D4BBA830976BD337C7BFE7FB5
SHA-2569E26604B91759023F6A85AC476125AA850A267E8BEF3BD2FACD3672C8F614850