Result for 02987ED87BCAE592C3BF3F9340A2576929841076

Query result

Key Value
FileName./opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/linalg/info.pyo
FileSize1322
MD53FF638F9233DE2293D028E65F91FB126
SHA-102987ED87BCAE592C3BF3F9340A2576929841076
SHA-256441413AB8E30569E4BD7BED97B83E8405A590DE9CF3E7BCBE5215E3E0917ED2D
SSDEEP24:rBYvO9Jugh2qEXmm8f7VUZ7aKNVlaKVsaaD+KN6BYpRM+652v5g:rRzuA2qE2ZfZUZRzvy/D+VY/Mb0ve
TLSHT153219A167F5025D0C64BE11297516A128FB0F2F66A0759D33A8E00B81BCAE91077F7EA
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5E39DCAC7FD631E073CBC925EC5F066A3
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>
PackageNamepython27-numpy
PackageRelease11.el7
PackageVersion1.7.1
SHA-16301E720F88A83B4F4557F79817450D6580D6D5D
SHA-256C79BCC9EDB179839BD280569C77174747BDED50F364F5B4DF63B8704C1019827
Key Value
MD595E77C3B64889EB4ADAE731BF0C7D5A8
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>
PackageNamepython27-numpy
PackageRelease9.el7
PackageVersion1.7.1
SHA-179134ADCBC57D76474B0DA0A920E58FF2ED39183
SHA-2564FAE368363B54CE6596CDFA968B8185D557390D59E68C7D8CC7EE82C73DCDAFC
Key Value
MD5684A6E87F8F4592058690382781D1A5E
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>
PackageNamepython27-numpy
PackageRelease10.el7
PackageVersion1.7.1
SHA-12A4F9475CBD888282AE3E9758789E0E84BC624DC
SHA-2562F4BB7E6BD6622E4CEEEED98D983A533D0D7A6754950AD3C1B6E9E710620BC21