Result for 02D607B8B131F0306902EB4D227A6B5021BC1802

Query result

Key Value
FileName./opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/distutils/tests/test_fcompiler_intel.pyo
FileSize2477
MD5FE26A8821F78051EE8F375D4F84C5268
SHA-102D607B8B131F0306902EB4D227A6B5021BC1802
SHA-2569774657F7864B7FF44D9A0DC58D77640BF3ECC24C7541692732CBC2C48390200
SSDEEP48:r80dhGVP99wTJsRvUjv8GVP99wH2vXV/xDvLz0VFBJ8v6:r8jViTBVi8/xK
TLSHT114510DC0575E8962D6A81AFD83D5031B8FF1F1BAEAD23A110024447CAFC4799C7BF265
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